From 9d3778425b5b3985814d3d004d8b811c083a4c42 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Wed, 31 Jan 2018 13:17:17 -0800
Subject: [PATCH 01/42] README

---
 README.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 85657d8f5d5..f95295482f3 100644
--- a/README.md
+++ b/README.md
@@ -15,7 +15,7 @@ Here are the major features:
 backward passes might be different too), or it can be set for the whole Net.
 * **Integration with  [cuDNN](https://developer.nvidia.com/cudnn) v7**.
 * **Automatic selection of the best cuDNN convolution algorithm**.
-* **Integration with v2.1 of [NCCL library](https://github.com/NVIDIA/nccl)**
+* **Integration with v2.2 of [NCCL library](https://github.com/NVIDIA/nccl)**
  for improved multi-GPU scaling.
 * **Optimized GPU memory management** for data and parameters storage, I/O buffers 
 and workspace for convolutional layers.
@@ -44,5 +44,7 @@ Please cite Caffe in your publications if it helps your research:
 ## Useful notes
 
 Libturbojpeg library is used since 0.16.5. It has a packaging bug. Please execute the following (required for Makefile, optional for CMake):
+```
 sudo apt-get install libturbojpeg libturbojpeg-dev
 sudo ln -s /usr/lib/x86_64-linux-gnu/libturbojpeg.so.0.1.0 /usr/lib/x86_64-linux-gnu/libturbojpeg.so
+```
\ No newline at end of file

From d4bc664f83e169aa18d56b32aaf92a9629d3aae4 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Wed, 31 Jan 2018 13:06:50 -0800
Subject: [PATCH 02/42] User Guide added

---
 NVCaffe-User-Guide.pdf | Bin 0 -> 1664628 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 NVCaffe-User-Guide.pdf

diff --git a/NVCaffe-User-Guide.pdf b/NVCaffe-User-Guide.pdf
new file mode 100644
index 0000000000000000000000000000000000000000..b38dd6445090c4aa9d68ffccbcdea90a555ec6de
GIT binary patch
literal 1664628
zcmeFXXIN8Pw>Iq7ttcp<D5!J`MTF3M*@A+KfCz$8rT2s$dUPWM#ej-*0<sYh5fCW>
zLWokOgkB7RAcRf|H3UN7TW)nf&vVZEo$I~6U*C_DKd|N+YpyxRnxowJ7#D9})t8o&
zQDndPuK0ZkyP}A!2*lBoT~m`CWbP5@?II#!Y@z4i>gpoN4!RN)=nnD!K62ygjVr)_
zS&*Zri&LP8#N7ZFe-VQq59jY<dj2jBf&U?Q+aKZ_<OGOFT=8{qa(5BYH@Pih;o=|Q
z0RfB1$;keC2)MlJ5D2{Us=B<aoT{vxyn>v(lA?l&w5+PQtgN^syS6sF3)uPl3YGq~
zQV|i5v4{dY@aL8b*e%dqL{1L4dFT6pzK3@p@LrI<H!$y27bl3b%lA0~0)aL9u!m$J
zQ=sN%cwTr9Mg?>GCHK=;y<YBj_Fq4Sx&A`tlH3vQo1dQVJEwfr-1n;Ki-N=Q65k%?
z>AfgF_cZ1=)AFU?&s-h!^F7I*a>Kdg%tU=C4VO6~ycy+{gXtM}qeTwa?R&lxeX#M?
zy(15g=H5FwIoA@0h<AIy_S@0reFwbvee<oT(B)<5?@!+!@%5Q^IuC;nQ^zT?#k@42
z^X&7!y_{FI_s_}gyPfuIZk2(zIm6eks%4pV5oOYzR;_5%Eqk;3-2Ff0Es_FOFIz{@
z(_OgK*5n^+p6Lweo^n~99up@a)J`-!d-325-`rtFt$c%+Q*_{s*gsk!)8%I(jFtCE
zyd0C64KQ=|mUen6A^)c|DRker>+SZ-{h)hYJv^OUE!|yKGAAw+#+?zfF^fec@x)K|
z^cc;>w{*#Jsvyo!$$d>fb6;T6f1hj5&i#|2K4(6j)A*{YrYh?r?b9GJ2(#VEe7PB%
zV)qzEJ#$r<(L}e5N<X&mLxD>bejD!NacZCK(r>rXEI94~Xy4P14MCidenNE-c6XYm
zF1tw;kB!+F{+8n<37V&E=WxRG>?3;aG>p?`975KTR9^<l>Dj4(UBe2lHh<}!^4&T*
zn*(PEv+V{6@gCo~&=3cDb?s_r!7Y(nDOJ{Ac;XJG>&E`U$jM-EHSNB^*QPufWgPEK
zxwk)G^z0u|Li;2x9Tzzg?kv?yi{xlEIIx9_?@LcZGJF2qjkK(}wflwl0xZGF;HrGh
z3Da(J#*Wo~MUj2i{y4Ds2mky5o=?A5e>z^XkL%lk{Z}O7e)oGI_wCP<&wslr!gumv
z)$7x*{w#SQ{`OGN>*I>i%D$%qA31$fRArNS)cN4|vES~<a%Ml2TxRe3gZpvJ7w%Jc
z;DI7~Uj#nJ+<VSHec+(p@!JBg4qw#My}tj{A4{+AycKvCyO`@bZ#^#&c(!ieF+J34
zQ}+|wr^49I%N{BCZ1v%|_rZz>CaQ-M9`k)}UzS%DmiZI)DcScx1UL1uNmJ^#<M-Hg
z9u*#c$bDS>uXx$xyp8(0FG4OHIWAiK{KT969)FBJ7kVRH`}F#Y!Y|e*4_&(^cl*{W
zjt=2dF;jn~<XYq^=e;v!yN!ISJ$QFe!jpaDxRJisU%0;R`F(+x)z2W~W%MmyXZ8xt
zSIi$@SKU5!C_2~anOwqY*ewCEQx*Fw&Q$OZB&fxlX?^BUP=4>d`mn&#(_=0E9~`~q
zs@cQ2!%u`C)JTYoK0g)cTdituqiGx`)qMAxm9Mz3r7us-nfen%ZrU@hmbK;16&Hqn
z1Xt8yorD}w37%(1N*`a>z2qRB`?6PG)v(4e<jRE;8*#?XzJEQeiM@A2^Qxwaz{Q4(
zrq^9BC`&%NAnGGZ5l5aIKZg-XYS(w>^4Gk7i>M10%MqOr$C|#rbnnvd63Ztoqy{Ad
zFWH!e6vSC7ny;JNyiY5;mm6}`@A^v73A^^|PfD6it@6$D0?ij<`zz(|;`P<c)$~Fu
z{Nq;-&KR7$+!8mXH);A*f+^u9;bi{!or#NC?O@QL{^I>b)nj@J1qXZYc;r_?+@mWc
zPd$B#yjgiO`zE5p@06rqE`Q&F`Gs})ZHMikZH>FqcTMg#EQ$>&4@tc%8=8F^`gUdL
z=HTd%{vfePVK8!VU=URVEt(kk!z0b(vDdUGxlgrtC6Lo6p;LgG^->K!H#YoO38#2o
z(bAndAkdpN+&{cJ(9!>{Up;TbJhPONi+qRCV?L(8;k?^sWbnE|Z|+UEQ!IN^(u?l5
z&g*gofl5KFpo?`Ib<uSSVXa}NVKHHpu+8-&+m~4vSc2P_ZL>q_heQt@JXCTBb!;W}
za?{Bs+gMg?8R8kj@tN}Jpfg(X77CoQ-6~+E1}|M@Kb8Bg{SW+cC!IRvjTFXx!th6x
zD^v{Sisks_;W)vrgR^KHT)LOnm{&LcP(1&w69Y-<P2MgER{he^(j3z0%Q^SY+-tG+
zsaQm9yZb<p;BoiJwpd3VcQf|^r?ujebm@`mR{E&Ts?9`g@mz3EB-jnyh9WpY2eLhd
z9kHJqMs}m4^P<1x;vD+>KFRf!53d}GZ)JD#aYaIPHA2-&g4Ji&hw-29lOw)v@$nTH
zW*EkI=7qMdG1kt`A!-+E{cV<P^T9_^S5X-79jGldAv~ISfGd(K+aRg!abc0$ySXbp
zZg#_V=gK(CM!enVH|dg)W<n3TIlLD>#WQ0@37D|#QNg2zpdCF#NX&#JtP=KoPkE33
zH>=;q9?m{2`lIbr@}tNrZ(bj~GIWLOPu!o^K5L2kUVrd~{v5q_Y>s0N8uMrG!(K}6
zX5+J_l$c22gd<!WWk+DA9e7N+`>+q|9<=|Na<J?i=3M7F+ST-{H~tFCJC(=tS7x4l
zTS(ihw(CwMj+U)<PY2?7nuFS$NO`2psY1T(%VV{^nxD0ERVTO4k*<Zt%UmA5m({>v
zoM^e2b<yBN-xIkf(obk=xmkz0*ZUvlR~Z)8cvEGlJlSjzHpoj_2WZaZLakV`xYo^J
zBVx8@`c(Fv7pvx<c+EMo3%3i0^Basgj0ib&Ni8vq)`8R)X@2I{j~5(a%2z3@$-^tU
zDxOxn>C8%{*eG9QKcVEJhmZe=Zc)Vd3_fhW`q554gOp;Hv?ivazIi>{KU)^^pccPs
z)G59ixrViSWcAs$&-%6Xhw2A``EwoHcYELE7l&CcmC0CXHMBx-kE$M5d3eDjDrGK%
zB5Gw^ZB1TS^kw{2z7e%#9e?WSwH6iS8t=D+xKW9(sx=<ef_Fy3h9MXE3`-29ZcadE
z!3~ULoMp0o<mk&vmk(XJ-aQsw7L&tEgfWz$gr!UmNSGk>5fi}XWYC_Fs*y^rzwKaY
zii-bW_|eenj1At_<#tuoVr0<Gjq3<Yqwo?}O2Oy|Iuu<-Uims;QFzzVY7<=cfQAdh
zZg(Hbi+viI7OBP*Qr1_Y!*JVmwKwvLDi@lfCZiS}#T|&mCE#$<8PYB#zQu2XRv$Ee
z?wkmL4UD&X7efkBsY3hV7vMs$Oa^76=?XkN@k2soq#MK5hpj5_4bP$tQEe!>{~{$}
zNl5!_NF}N*zmOE(N!t`2(6R`ynF+xkX?*e*Pmb|yPL_6Z(Bi_v^neq_FpQS<L@S^K
zR1aD9?!~XoMf4ySHpx1n#EqSDj&8mLJ7-&R-L!8}z^AC!BsQk7`XRwX8gK!49Z18L
zdL~;XV(KX~dB74=mW}51rSyN<c`><UIszeHuMx$xqqpWQwoB$v0pOmo`vH8BsOju}
z%u{B@CV!M7tK4=`L`!>7OMUsl=V%S5v2t-8m%a6<`gzeUhnC0PSJ%!H4BEsZ#X&lD
zjF6oh!%69dEjm(rHq5SRJQN$UBQJYOLuuD$eP^I7)BY{?>s~+Ag%<dAon?8Z%+)Tn
z-V_$_O?t^^51j_(QK+Sr)1-9LqUN_wudh%GpPA%D9oT%l#{8ad{!ABtW}eDFGf!*K
z4Lv<whX5C6k?+aq9ot{2smgz(rsko(E+QZ!mp}(+hd_t#Nhy#v2mU>H&*;{_XRY#o
zXRZHAPc?NyfOOf*B~ZlC#mxh(b&iI{o)htK);edYWF%|ktLNhGaXrl6#VpL&+$qe<
zNzM73j<#lqdWes&5AZsX5Fc-FfO?45IR_wPc2NiZ|2_;lrwzPRMAP5dRsGIY{hw06
zmDV};z(8Mh5C{r|%0LxlApUM3IW;vkkgPmNUS1lIkPZk12RejEg9Fb0nB>3D<Lva$
zG`>Op-hWTx>;!W0cJXlm2L^!TWaL2SM83b<!4VP^sCDk2iN4R}?4%y}9d&5`1Ra{7
ze@4Eq`N!|Ol+zE40myxaB7ckh8v0K`XO{pce-Gb409t7O3#I)1z`x)6FAo7=LHj!b
zk(QN{mRB&BlUG+#RR0@>sLRU!c=)@>&!;p&KXv)fz|ZSnU%<!rAEkf;Wd8mdGENX5
zP>6#spb**rK_S4WRR0@KxqJsk|I?cOi{!s;=$|_fe{%@L`yZYC*YW@I$gdOofAix1
zko~{ZitoRjxc|@!a0Aea!vCNZKtkQiB@_zrcMbskQaW%rG{4^f0PRm`sSV&-P0)WC
z`?p>Gedi}M)&4&t)1Qz368b-G?cYAXCg>mQ(`Nsd`2vnZ>zqGeod4aK$jSbPvoLn>
z0i4ARA35MnpdX&&p2^=J`}@Ezc&qTYqxgS;xBu>7ZumI3xqN@p(!&|R#qvr@vfr<+
zyLh;{2Z|^t$o_q)>k$}m+r?iG;^PYe16C@c`dvs5;tlaP100Zx$ba{A|8i0xS>*BY
z)Ul07aYocjOnAD&Z=^2j(0gPTv4p2hA-uv(Oz!zum#ZeeIQ@xeK!wH)SMk8Rmhsmw
zI629S|HjXu#;=i3jyw|k?8)bQ8@(q?_TQNQEeNWmeEs3Oy1Ijhg6>xBJ!C~<C*IwO
zUa)wMu>Q1^HL_r4`>u3CFS(RB$J%;NUn<`BzrX+0!2fFCe>L#`TMaB<sT%ew-T0WZ
z(fvAuRY!!l=nOdhTy3c&lIZUmRMAJYu|gbyKyNRtpG8MG{=8d%4ccq9G(^DYhxb|u
zUM}JC<RgB`9+^D&<9^NTo2{<BiSmgwDU)fbq?lWwVGWw;tPYvc4bY(<BEH8K*E5SV
z5zGYEs7>fOdv?5IgS?vc%jKIPzx^%o(95(C6)_Qz(|uRWf2JtHFRWD4RHD2ym}UJ#
zV4qF2I?EN1S#CB8Xi@#ER`GZqG2Iqa9`%W`&3EAEN)DB5WTb<Hxy&*Gaxof8mKk{K
zF;?8#0q_X+^be6wN=pqS6>3;Py9IhT`N!D4()%ZfUbs@&#UIxXy;2@;T2(CBANg_p
zE#u-OW|+Kfx&Oy?jq8n&GNu2|k2B89bDp(^1&37)MJZJb^EbR6fCL}fFfMzMow&%B
zFkvHMG##H*yV?~I>R+lVXPMD4ZO9YTF>Ry9+$z|S3y<1S;LC4Y7-4L;lOx&lbBxEf
zeyd!vzwmRhZm-9^O6dw4X_Q#EJEMd%&+N?vwc<=^uj@v=#-Tg2wNuRzp^nN2YdD&+
z<XX_8bJ9l5e7CxjU3D26J0r^`_@uR&1>MjvuieZyItGm#Kc=lOp^Cf;*1*hA^_?&i
z9YW3a{7ACj;ZU=B0-4ha-xCb7hz##!Ga+hPvt!27hK$M54OQv<t7HAWW0^VFv7uvC
z6P;TS@Zj9Ff16U@sl*<4v=}WnX-iQViH*+4l-plg_;z#3wTg!wJH$+wxcByGd|mCT
z`E}R$+((&-<q&$8x5qjA^sc*&*jbcfz*<ZDAkpYIzo$^tE${5njkoJso+H@nKNkI|
z=aUu4wI({>xQsWI5^E1^wgldm*-44=398@~S5rarJMcr?ZtE<QajANQ{^pQr|6F-B
z-r-eVarlBy+E-26uXjdpmSS!L6Bfj}O1>kY9}_QEtFvZ%eZ>OaQcE|cI>w`<?n2Sg
zR^jL0PaNADwfE#&WJ?^kiL)Jd&_StQnrk(O$|SfO52Upr##gv!EAv$@Vy*dTtvczu
z9v8EP716ubejcqTUS%)8W&eO01hn_C2hG(BV`<Cr0vr%Zc|k&ABi}?Z4;W(il1VCp
zs(vKFnWctMI@H9DfgUL4s$zD^9WO0wxm+_)90W7h!LE$0Q4EZ$_vnL*D9)-~LpqAf
z0=D<5++<>7T1WDv+ns7ON_DiKKWR#_wDto*Z6SPw3VZQmgAa3Jo_CdQEH0%-6_49%
zR&C!d3Yr_q!Omp6!IZ9+dQ|!^81eh>HK_5eO)R69qG!JD`4kv66z8rH4x2(4Rq33^
zN0`drJ;oZjzojiZa;t2w^uB7yj>;y;CI@6R%_p{+ynqte|4XCwiHfAFGp^8H&rQA7
zvu1<6`50CA1Uoazx@WQ6Cm*;V+F^eHG%uz9t1(QDNg$__Atoie<4qfwO(Y{V=H3UK
zt%n@7X`|63WY=qQ>@4z1kO!;x#hU%@aJsejUNeX@(K_RjbH_l1pDko32yj0(3~Pz*
zuC^E5lbW4Pw^h615)R~W2oI|Dpjke@|Ik8k{~2?1v_3SiT>EW{jL)qglFbbH3fkU!
z-22TPpTnUl{G#oMC!X}BuzMe@%dop4ely)=*;^{%h7K>l9r|!Jj|E$k5Yj?Sg%Jta
z<gw@OS8J_V=|30Q6II8(Nsl$V#K|*PiBUn`i*g7Q%a>iN<qnu6cL8U5C%Jov1svq(
zKMykJ)Pw0ot3l#nQIGG=nNKe^^HLo~pLxeA=tHHtcV~f)w~Xx$F}f2A-BiG83a<^k
zdLA31sO-GvCr3TSCboAHpsuwFkJe@A63IIQc-O=pd-X`h7zP%)XkWM<T&kKb)zc;2
zHT{%Fa_yKIvXf`6<sL(t*3Rc7D=6c9Z)1Gp%iUjw`>bSR(Qn%Se1eV8NJysN*?<5>
znVb%yg&0QKIG;EO*&7ho=6zb4+-}pQA27q67#sINF{qZ6p_TAx0iCg&0NqGXrpJC#
zu?S0@ik;Zrem%S(jji$f$e5bLGP=rUJMuUo9+#RMTF5Kr4f2;Mt@|O1A|^H~(-Wz|
zERLT}nf#!{-pDM$QU$)^PG53&42UclSp*M$9LYilI!^9jHU(JDrJASM1mUMpsc!PA
zjm@Oa7w+$<c153<W;a62gpfkeu&S<6*MO1{a<lk=0x~2B2!g@3LmO=kk=w&MR*bC=
z#VEyOR+f=hs2MHf^erwnqr&?G!V>7+m|q8EI3YZ!sbjnbr#xS!9vxPQ8WU9HwU1mU
z^z2a^I)eNbS8u&<FrMw;smNar02^LZzV?{*c6)o^dPs2|8|ke|xR|YRWRPz#X5y*Q
z^lVLL7HhjdpOnu>t6OWg&oGjTHf&1o%9F$;EqrGC(28D~(Eo8D9*9SC&$d4GI!`Va
zyd1QRql;Y4H|UOB_*8D+DV$wbqIrB))>3SCN}2GSVxjA?>3_ni!%p@^VmqWkUa(o4
zJo5xcvuY$Pv|Lb8eBqS~9xE=})QjcM@eU5_#B)q3;7+f$N+F8j=v0e3R`PieF?^X(
z2Iqv_dfR41)D7+N4WhAiQDLG#qc>8~lFe|O=s#Z<`xxrtLTWx=)rd6N8{iI%HSKB=
z@^UA~PImFE&2&ke5JbpF878S1K^mrB&*tdEq3$*C?^f?c!R0f$R!6_ZkQYZ;GebBl
z_lsPM__8LQGnZXJhe1m!J(a>Wo6U%rnyVqFSHZRtJ6Apue(6Kx>}5no$%Zk^uVm!r
zz%zyN0jr+fs*R>L;ZoYM1L>VSx%t-V0;jABL2bwuzcdX6K05{E%ZXaYxUe=Q;)k(n
z`E*PO!)wdPDQi=(VfR}(|K1cnbC1jb!L}HMSpS`Z=r(Zo*w$bhHI#0NjhNa~4Vfy4
z7LOuHwZYah-F7LPi!m{4o7o;ZAykAJW!E37(EM>JdNd>>a8yJy>f?Y{pl&#dcax)y
z<Jlx_eguWpSz@&o4bg;D>0Ta3gS4|@xvEKv?WEAb+SNht!!;AAflTOLJo}IDy-o_8
zN(;9e6EJp7I5zA`cm5J=AHKR<flZ2^89Uk8og&smp6c*D9MBQUA=i(TGQy?OyHdsd
z;f~w)ZxnljMuMDrp!ZhCt+VRp(oG_kx?l`DjIaO3qnRq<_ddf;!!{V%d)mO3YE}1#
zDGNC&AJdmHLcn$044yq&HGleS(=uxE`%Y=aYvLMQ4V8YEE>vSI<`)zGBAh10vH@G!
ze$DHu+P0$-K88SyQvweSnbWi)sKg$vt@zqBmo{&xXM<)f>U8%d4a`<dQLWy<*3-v)
zKQ<Qv1suxw?oGgY#@z!C<<_Aa`n)mpX;e>?vgHxvn6BS!b^lecgZa21G{k8+L#U@!
z*DJ#*ODa-=Pq(Lc$f#;~eMgXEZ*9ala<;bvDQ+Pg$M0{A+;#Nsi~XP!p2Z^5Ke}0M
z3SvW}L@{&bVQYiOjoFM?6E+drlpUid0cUxUNQzd^PKAM2?M(cPvCcuX<eX0{8?Mq{
zWg6?C1}R3H61H~VZ}LlC?iO+u-!m}K-cHGUE*My2UnB7=4<=so!VFu1E*Bp=G!)Nj
z-BQVBg7dh~jjpcm<Sr{%o@tF}qJureSQ#LUM;=vm*+`HOan!oPjjFa?q$dTH!B}+@
zVI?D7@9j#5hZ~ot?F0%1-hIRYmVma`2qCvBuBn}h3YaPKoi~LtKK5CRO@5dsx8xV$
z`#isqKl5d87jjwb4NSGPIo1=N1r);J-JGL>ijLPdTNq`8iF_i57t0fR-kVIJTXx&3
z(<yT>6t~xxNk=J?)ylMQ=Q6Xe6lVI<pe2Gm*hDuq_gVw?Fc}jthA>UKMcs2jkEDd&
znp7}LjUH!&L^*h>DyV@+q?_kRzmpcqa<)s_dLp;-4SQT5L_x)V`LS1(v1v*P+IEzx
zx@fB}cBHq{3{@r`u$%#sUJvN8UQddcE2)l9lI}l>(CA8qYrxEgHPh`+H;4^Ar>SkX
zpPy@3U*#7kU4*|<Qw(6+;E0}~y9U7@qsGhf=W7Qz<|e2ySS#9)Nsv%Ib6$tbKr&X>
z@AMrl&Wwq~V5ap?+Yxpr;lGGd$sm_RVI3F^X|j8#RFj;~dnt7QgYORv6SF^h{zVgG
z=8nWrLS{wG)Gdd~q)m=Q7`c}trx;5&7jG@_s{$)j1)`&SdyZWj#aYew&~-yHSY1M8
zKJ_1n!qrbIQUx_v_?z<h;1#KG4@jv0AVu()52xQ+7b9Y|=`MEiGx_ZU>+7`J8KdFT
zvCJH7{_Zwu;dL=<F%05SGEyh|HTV<+g?;IX9lsJBh8x_$W#8zG$66A?nT>lVTd$@T
z_$TKWr-b>8Za^;oFq(+x`5`Dw`5<+~I9O;W-bn>qvee!3`Aa$L>}X9)hqFwAw#>70
z<2BpCj1EOZwQ!b74>1fd`0ls){JbOJ=I79gGntJDdTWie^|2M|vh%x@k;&JyuXcnq
zg9A>7WmRvdINi3+xM2+*(4011*DMdZ8F2PxR=2qGXAf6@@>YVv)N{Ip*he!T3_WoE
zB$pM%j^tQYML~?d%|BL;@3eqb_ESM{LyqWzC655VC3xZlbZ2Bhl--)yLIa_95kJu5
zL#`TnYk!Pk{3eKK^;JDQ^wm7V@MA@OJNLWRU2kxu2lVT*bj%`E5U#WR?Pk<Wl{hJd
z5H?n6EnID*XRGo%x~Y{qlh>x!9zCg0gvzuN$SER1cUtjj(+PUh<lfqj8E>e-Lcz)x
zk^<M~b$2dEl-H1obF<mjRLcF1e6C0)*^OT(BCG`a%JnMb{GndIr$Iovx1rnLyYS&J
z=xwQLY6qtxbGKxLx;=90hvtce8FC5U38}<jw%pgF<8cItiWl;EscVlpSIJl{ZFxiE
zahSt`Pv}>;5f1NQptRd{SB##lv+Wx|-N_$V!Yl^Q@pRS>Db9y1-DrhbB}{s3D@`|g
zHKi)iH0WLc_^O!-HgV?`4qK~DmVuCrv?g|RuUonqCXr0ro33x-TBZX{Nx{qBjJ3TL
z>%u+CmZ5k>=CDx0OQFrsVo1YNR~sHp%_iUKOexB)W3UbyGegeFhHdnPCq#J$zH-<n
zxVjS4IX;KV+Ee||K&Q}AXMgT1M`k@`xM}fg*qF36#SUB;>;4gQ{17L|E`r>X&6=rQ
zZ6;221wXMnEKD+=wz*}@F{9;xr|O<g%hIZVO>V>aw^GBz0Z5hW6aHcC{xP#Y#iwc-
zk5p%BGL#7g8)(T3f?`<K>?4v&;d4b{Sa)G)CnV{L$s5ytR4RQ;Tj-pvaZ)<`%o4$^
zsD&|`+>ZCXHUKq`+GR@F-y_)EC)`W0JlQ=x^*Y^EzR+-f-E(25qQaIY9kVue*dgrZ
zTT&$0b#qc99xLp>+<)sHdloYEo?ZQ1iAr$DO>_?77t`<n8dG0ozXTra=NvP}o+@C6
z4ByG$%r_Jlw%Nrzhw$p50^wIdlwuqrM>3|W-hq83cLAQVx3+~K<u;FUXpI?{$&LNR
ztd5leJ2hls{0E80xEzy11jq%+H7m(D6`yJ?fwRq9sKEyYcNqNa^~ptPH@Q+LV}I+$
zEAbk91_A&sB0(Xma5edZK@B$_d!biXDYYjtYRa6MD+>zC!&9US#y`u2fnB(Ck0Oza
zuB68Ai2I9B*@hJmBZE;I(cIQ$o9`TQXs)CMOX>uaQAal4<SqO-5EnVwd1HIIxw<yX
zYq%6v{==7li!4%j3*C-)K#}#+da~pPHtg>Cg#(@doz2MCy@<2UP6HWtrJyLwvAq?V
z3OZrj?1lMHqQ${slW>ztW@k}N#=Dx_w(Y#p;JE=oX@U_mRPVRyiR+PHsk8pj^9}9a
zyj3YzFj{eXFWC&)Od`}Z+#61+e?YY~P-<4r{xv5;`6}4$&@FgYnu7Qo7^ZDAo0tsa
zkh?5YvWd))G6qNH;5(Y54fnQ^4GS&8ODYXivlbsn@{q{Sli@c;{7%ur4u?7^WA4Xq
zs%cW`A2ZELu)FIy!mO*BkH}(eYW;FvLOFLCL7ndxye9s&X_n;hbwaf2AF9$R<2DV;
z+wE*AyQG@3jH$k{M(2iA`aq)7JAQk!^fddl4#AACSl^~T%U$(wLf|W7_v+Z!%D;ca
zSd8tUDU$h`iq|l5vd3Pyk9uSh-PS+0hTL5HOxlyruZ!t7w_+0rCZ`m}7P%`P4J9#V
zUhQ!*Yg@kdAS6BGB0(b|PAHVBg3xT1Faq3dSAkNsQP;H2s97sYL@sL93>Oz3{45$q
zg;!9(ig)%QWkTHpgL1nFkOEHsU{jE-dgxyI-gE1;G>{2r>Yi)itCuqjhF0Zc%U?i@
z_VQlhF*Fpd!!Am*DvNr@>a{hA&_u~bh8p=;*;|jvKi+CP*)f1h79a3xFk``F>Z8=3
zfv8Hl+8S}JVY^Fn1#ASddLS)$c5|sHKeIrwaKw!k?ALp=d|`HVfrCpsirSet$ZoH;
zvVc_$CaLu7Fz4#Hq)TD2pjYXooA12%tH>>Q5=V5)EPrB-_a21@B)|aY`F{IaNK=i7
zytG_k47Q5qcRin4(2B&L{4nb@q*D3NV1o!G2G*v}1PNc4ktMfSkpZOyYtA83$bOGR
z-?!Hw<`r(k%n}ZM{P<zB0yMu|J@I<#@U0_|TbN?FRgN%m+LUc;wRvIlmF=G659aR^
zvp-DdnG2Y!(R|t%vZc|9RpIY^C%GvQTc6JrbGN?y5Zd-H75k$tUkQmeP|uCrjSqiT
zmn%PWNrexMM=4yzIM@WRrrr{mq&tQxm&?cB#<*0mEIeBp0vD!vKv4@C@p}u@yqrs~
z3fpF;2ERtWX#ibqa%c#QyRE_EYrQ-1qVG7HVR3W?zN{*KLZ@=o9vilenw1j83fV4n
zWoFcuAJ@!S)|5LMV`zp-Zq%MwHz5@S%o?^q!pfnVU3tXAsR9F({L|lthn4RzYif!1
z?cEjVbTLcI0oO?&JbGR}?=})%!1~tEG;*p#xcd~mZ)=9>eN*9QD)1rb(8g^jWhe)>
zQ68SX<>t}r$8N#_;BNtYO}_oO(@=|QqxIF~c5E1RqCP^>`-{)!*}PV;7O#JCyA@1Q
z(U&RZ7q_B3$8&Bx>{3(kHm+i60`_*B3Dsdq<*G4LA{2HrK*p}{s2aOC4xgs-STuOz
zjk@PC6-%~-c^o6eBdB7fvGs|#o$4~5n|6}?nE5!u>;*~ix+ULV)9E{n%PS!^Yu;*C
zF}Yp*Jd<0i(*Sd2{9c>;#3DJuF;_KqP_q44Za^HAq?3Q68^6&Se#*0c{B}X9-TcVn
zQcI7{M!D`*Q^1OV3|B%F?dt|e`NzKN3tN1u5jE)Gw4efR<>}l^gdQjYJkfZpLaqnV
z@>RH#+^<X^U-6TlsSkJZ*yJ*h9*vou8_gVg<q^!3BB^zGO#2HMjm6=;f)qn)&!FpY
z8&P2m>ARkh+`P2xT1GVd9d<89d^c5BATy#RZf!DbQoLRVAF3S1=z^xeXbDZi=|)E&
z<jaN0H38+unYJO?hj8KX1o825Vz~QE_Xk&$rD1OHm`K*FY}=Xc=;YwC7pwt7OrIVI
z6E&5cht))L_c#a6uLw<E$R|1!E?13E#y3EkzjhZC=I6cYde4!7zjx%~z!j<RSsU7*
zrO9qiQH{F&D33))3S5au@o)0$QK^66uvjX-*WSOKOLwh8Z|ROH5ZIY+6?u;pL(|T?
zB@*Otx4eR#GON@*SCt9;LmQtR>5MV{!iK%6IjZ_<e7IAqx;6W$QG(;E9k6&keyeR4
zvIJx+cr?YnMjQKFcc@6QSS_C@*_}<$o|Hby$7?daw^OpPc&DOf01{IybUEe;uDmDH
zcGn8#K`<Nj&VsRkrLyR%?Kq*X1hH%OV8z15jbv)#FVIJ{9%d6Ywxy{6V1K<v;ca##
zg$=5;RUYA|Zh58@k5EW=i;9>4Hz;00wC<>2xvla6M*Opr%6F5rDjPat>UuVI?AaNx
z^hS){YkX%y!x&zZkZ>St#3=_gz+pR1e_dNwTTg_P>?{{SH1}v6q{tdM+);(U%!0QR
z=9d%LB<<Ou3oXQe2_Nz}5JPMIGrnr7f#upHapBb(N%-gcd)_=5hS9skdjKZ2CF=Zm
zmTYd=ZI0UDvLT9e>~qw}*WFi*$S%9kJ^aLt8{kXJv6mZE&&*zLOT5e^%ZwD4T?BX{
zw!gpS!_CU7-8*jQy{i#S&tl}2$jSV0I&YyrhXb7!p?39cZDkacDTxC(eoB73ta7cQ
zoOQ+yz+0Mms0f|YI!qHzI8}@uzjB_OPEjFXT3c|7R*Mv{vb?A%rD`~ABZ)#A19INZ
zp+Ubh%FZ~mt&?62OhIBL7gV|wcT60MujwtTvJ0Q}a@*b5$!)*adCV<M21ai?vD|6O
zXj~4SX|y6f(b3s{k}RyvUtj`JG+26=IW8PCuZ-{_(j%%LV>fkRhII;)x2ny<28{T{
zX(NE^ZT#ta!>z{P{9b_ZS;`=HW)~&|TWcH+txkJ;$jdxOoEq&PwC3rOmhO9XX;vx;
zZb4mam04bVP{f0pkG;~1*>+#`wW%c(BaB6O!z)IP_8Sw)TeC&o(QJu(om(;7-wG0z
z$8r~Bxk3kx5hX)UZku85WHXY)>x(n1OwF};s}GcMTAA20ws+5u6du5}rmRGS63p0h
zLqn&kPu^+c+cTXxZ^$QXO?Vr$T|$;vnv8a@W>zVdhPG9BCioK<S#Eo_^A@R_ZwAA&
z7VR>Dp1b-V*0;=KwG@+FGk&FHYmo;k%rX~MzU3xmR#cuTWs=`bCf9sIS6!^TsF#JH
zj5dKH)Mi^Y1_?%#K_Dj*=oaWFfOV?O2K)(Mua7@F@YJbeER2#4z&@8!hR(Cj#u(KY
z)#*Y%_LZ@>Mmt<xJTUenw3H7@B}X_3kJ&^ks7Dt;_Udb?;xG-%Glyz4kX`e3GaU-}
zr3$H0>x{2Z#&%15q6=+cLE3Fo^jMjl;N=!;6lE@XS1HO9pI*7U-GwzgIN7LbFBFso
z)#^!J{!v``WMb*YZGp=sYX-JWCU%_yvArlNwT?4Og-Er;)Z@!q(mRW&DQq#T@J-Oz
zGFi%=i>7vOk<$uET&;OaSWs$34lpXt>=k7s2sz>qtx~DRtjG<z`6yC2CRwyyy1-5M
z-kB3b*>W}B5UKJZCRM!N3*(w5sTCLSh6x0AX=#pbs<nh9L?$%@YFo+=aSAz5;dMWa
z(X_0P6%h=fN!V}h6vK7D5Fq*1FE~*w$-7Qp_-8%J=vI=*z1H*|S6Wu$(o3`IOzKeS
zT<r<FA0LXb01yCN*g*TPU^jocxXZ6L-=rxC>ox5(HYb*$5gNYmQ++`6Kv_nC7pC%n
z$`5AZ@Nd-D*+P$p>Lw*{UyXg<JW#p#MzY9;2EfcGRdAqK(01o|Q2iD(xaJW6Fl$$D
z9hE^{=oG~XG%#$9LY%&4q#U+1Qx<f)Z8_jRQ}w)Dc{F+(zd_qe?Jx+wnPoPkmc0|P
z(1brGY`ZWBL^@tl&Fluk^<Ins@2+yNX3p&woVm*)<jcmL5qq91DGpU?KHmhdVbDSg
zzc9+Tcg+Y?wE5LzD_-HfHngD$5BYnimGtI19SmvY#^&9arBo0vN`q>}uBTUw;%$=$
z!MOu&+mCy{-+TwMx7yxr?|By8H|CD;Zct6PKYVKB1E;D!rgjn=Ywt9RR-zzBEw{c{
zW}~;z8)Kw7ss?_Spg>_WDb@B}ZH%_pVp#)J*~;g99SLO}`|yny^arXl4F4yp&ApxD
zh*niuT(@ks`x0rSo)y$mRomn@AXlP2q7%9~fR)!6eWWpFBVe|GY4KUATyS9~+F%1$
z%DFGLxiljwg^G~EajzZRS`JPdnbv1wAGJ1~5ctdFe3QdUI57FLZmRS<gjD0*nS~yk
zmcR+_Mqc>w<%Sr3UXXT**lBDD^>r1|dU2hPMACo1SuGPA3t@$9KGNtAJ`zgxMUb;k
zKS|geGM>@TAJ@H@5+ASN=NWkV3=-)Ue3p4hIP~qdFpwto8SlkZ8H&m$i2B!js=5s>
z5!T#YBFzH&!t8x9_-LpNP?tlW`@^t(38XxydW~ED72+fPe||%_zT<~LZIR?du9nEU
zN`71wqIXVfL}x3Rgq7om8^V8&IH~70^05im)gqy+foj<>uowXF93Hwo=?bk<xVODD
z2RQ=usDHjWTEX1=SzP^w5xJTkJsO4`qAFRi8G^8Wt5i4bbc;4S&fg8qECne1?C)CI
zSGw^45ub^njM8mK-lkg&x1NP43_J02$*``(c}eBn?@jJKoNWS^K!l^4o~sBSm>Fxl
zO6?t_tSA8vY!Il0aRz;J7*OW*Z`zrg`Fgvw&8X^oiS@MO(uYmu!AApXZZx_$hcL@d
zX|sc0^g2+`0ZMx;edzfeo29D8Bk=Tg4O??)fZEs)*^SPbDLL&^tx`Opz9#%JuS=L+
zX?jwSxSP@~bBin;%Y1ITiZqGZX)%oV`)i}ReKmNv>FmU9y#{8w$+Y8>5THSTS-vug
z29NBW|6#|U!kb*(3u7@Tj73n%dQ4%IpXOAE7kj$cQQGrfinQ?z=P~;T#@HjOK84+H
z`hn!-6u|@oPVDz|VBA1Q$(qv(HrJUH?v$-z{Zw)-cY&O)>*rdk`7Cna45!n)<LSYO
zIWu96?T!(WAAb{d*|kLL@D-m$G5C$n@}x|`^>0rmPTSAgc+_;M_-x?d?8`mEYMc4M
zQJZ<(^!vi|`<qsNZ#Sx$z9UR2e3f(A6H>-flNh9?X@i3`3NUMD!QL+F3P<0gYI8(e
zIFsJ$r66sY07y+v1tD>zRAf|xoHLjB-fF%AENUIbF;e3jlX&MBj2n3$44Tg6V<IZ}
zgz>No-TFeO4E1a>XHTc<`z<CY5xcxYrzXR4(S6r%%yXJ$Sn5?NuY2lwhZU7G7W0^#
z_LdT@AA-IPA=9OeTHAY?1kqbDeQ~pa@{;>YZ@Iu2?kxKANpS4Smtwy&;4i`9h*y;b
z+-d?c7vA8Eu|WV<Ynv0eGamEgWNj=X$U${+%d0So8G~@jtMIY=`nJuqUzEFt=t+nl
zjWf$oX&N1Sey~l9=9#serIn+#8?TVl&bbY5naqXOq_54iZ^g9Rgw9sqIb4GcUQ}4Z
z6mQ3=6#F3{c^jh&Ouo{I4cULttIi`?@!E|=9+>%&6>!|`rXIlE8rvFE#)0mS`Wm{=
zIPcm7BpVZ?L>)S|hG51ou>|W%Cv*CbPM@Eno^i{FxkFc24-UvR*GNvG6ezT}h&Od!
zQt&YHp_kc5%vvs%=^*J_t+^eY>9^k;Q$Ua&PLXpC8Iq!7gX&m|pGjDugpV8kj_<6$
zaPnzXJ76Fli#^#}b8{dhCrtGo=MjH;wx7+KXIa&FPz<t>H5&tz#MV5Td({LKTi;i$
z@%N0g*2{Q1!r7CNCy3;i73ddxS4K~2p3!+#1TbOH?XBu?+{pkpXx@047PDi-4f-tk
zA5SN3y;NnP;spX{$uu98Ye{IjRxWCbtk=Y;;yj5mZ={UISzY4xb%FBJ@1pZ>7gAK9
zX_vAr@TESb5h&#xt0s>Xu*^(m{uA8@S^icr_$SnJR}T1CfcnM0HMp42``z7^C~2`;
z+y`G}4eIM;*64zCn`rw`$Sc(gp|=f>yS>{M()1gc3G=s_wdRCqTMAgD1+4VqXC|2I
z;ubQ<GdXnGG$C)aeMrejy{dcgc6qzTy+yE0VYF)xu%ER&Uq={g2g~(a*t`f$QM#7f
zZ1!|0ysCa{YWjN-rI-;{5zx@fA)bZ25j?q;uZ7N@`zNw31_Es_HSkS-H<<XFr*d~L
zzalC=SDUHVD4QAwNEo13V2Uy2StxvNWH}^&zzLa0ft4FVXD3_@vZV8mbmeV(+Qeo8
zrD}w}T;cD^`F}Mv-HmdX+<6rE{=-u6?Zk9{cDqc{e%j&(^UROq4wnfFDm0C#HCY4W
z<H3>wQkAhzj|B@AxggiTqL1r~+BNEIn?k~vhF-DJU`3~7)i;<T-OTalsYKPtO@*AJ
z2d8UnRhm0Arn6VFdn^k2-O3@8v5PG<%vxeiMuD#zS3@lWkDSvr{Mp6y?d%A(Fuipn
zsd&#vVDA($l(Pn)gF%q2TYYXf6`CGSaaT96{3<M?NMzbrHMj22<o39f^cGOAqac>N
z_U6ABe6JlR+igtI&0a%;Csz3Pa#MMmCYT9(Vb_zw{f<Dsyh72ITc>=zxw%sJTAkIN
zL8Er7rff}i?t~G{xrvk7g|?rH=J;b>`P?{jux@Qs->+NfVUxADdIj}$_%C)7f{zdR
zh2P%mUft8Ug)nRqVP<?>+B^Qk1%J~LtuzXE@BxSS)-OG=ztr5`W!bmhwY&Hwo^5It
zZ}m*ctQzfeE|lH~op=RFaShgX_vG%0{kXg_v|*ruXSPjtSwe^QmLIEBx;rH@up?lg
zoOL*I(l-dG`Gu7U=@DnQMOwxtO^gHgs3w>8Bq&PVe1#;T$s%OZdN0u^?~T*|*X6wl
zJb!TT^{((-rL4#}yuk<U)7>$g3dJg(cn^Wlh4?(CK$Kms#^s-7w})PLRbKgcjU%|P
z3TbcVPr6SP-`vNQT_fqefg=Wgs3bz1Ap|OfKQ{Q#5Q{_QO;di+7Y*@5k88A?%MpPq
zLk1(^L$cDL6)#-H>|>z)lgOKyp#XI<H_Fxe6s%+sIAQnYt_r{0f}LIbZ_vUCP5<2n
zOiNMaH`Pk_c!hxcbUay$WIRbp(9r0ra%%u+A4loBY9c{d&R%$MG}_hex$;5FrW4aw
z&NF>0bToJRQ`g{A<@zhE<fZ;!DQt~czJzjcNKQ}GcM||Ob|1@A{WCX(Jz2{uRQ(eE
zHf^|34Q4pF&1ci1-|8zjw6(TZBazd%>1kqp$OnMj4Ub1&NlVW<`_XbzFfhcR7(Um@
zlLK3YMJ~YIES%iY;~G#lL@=zD=fH5K2!r1ZjMor?*`{adoFrbd&*Jo;CA9kon|$P&
z0<w;+RsKTwS_+#XK~UxQ4ony{uWzew_3bOc(PnthxQ6|xf_3(h$jLiaTJ;0kF2CA$
zY&u6pFO(Fht~z2@d@<Y~M~m4PT%~xpWcG-o`Xw5NDdRPY!ORPR0bA***t03iDTQnK
zPcSX%JKZh)j&WjGpy6WZidQ6e@#oA=yodexT`bV_5Fqy)gHhD7&Snr6g`J@b>`Y(M
zOc_|Y8vx{woUkeCeYwi~dIa726sd`><&Fgw$4E*2ZZp6hqiu^ZeCjM8p0y!6FT;wE
zukzYJ<R7>~a#QE&&Q%Q!5-$D4LzEsY7Z`OfJXR6C2vlqd026@RYyu}ej-B`2YYd`9
zl?>P)H6q}W1p#PtHmrBMaX>gn8h)iYz%OvQyEtSmc>x25?E>8OD8{vLWS-MgCt4Ec
zryl5ehHK6;2gCT%ZI+=Y9d_H^1~v^)h#A7hIo-y)t0B|6F6$4NOE}Q2u_#9D;<giB
z%iG>FpH59^D``Xb*$5AQ4ET~|ySEEezD{KHwX{2Yu})9Jj56&0NgEz>3o4s+XI9rl
zp-j`H?1r+3Z&x5~RACQ-dVx-uQT`$7>=YedTFT`)Q8MS>^pL@h8zv*&q#TkdlY9+X
zET8b(i7t~lSKulaMpB#b{mtVhuybfrjr!1Fg;W{sy0X<5AGVc=?Ya^0pA{(4J{fxt
zbAP|7`Is^UbT_tWP=mU6?8UbJbqpbM2n=%p>}gYY*Zr~qoa8EwMX4tLNvcI|?)~Hb
zGlq|D^j!HW%`dc`3HZfP0LwxJ`jZQ0D{|oUodq*t$fnm4ChXlI2z0EnqZ(-7;F#g+
zX&DP>(8TCr6dxx$B#{TTdVo4ewHIb~(KQVe8Dz=gG6`vG-|%T_Zx8=y4_ltf0dIDD
zu@)x-*w~YwM94jJ>Au^T-jm#TcB}+3UULe1$&#o%ZL10sxh&7A@-ErdTfAUd!v+%f
z(CpFX9nzMiFkpv~PYVYO6!^I?C{=*B4_iH3LHJj?o;L#E4}$|y)|4x2FRVo0Cm@O+
zwA~%p66C4V^%K+ja#t)nYHP{ixX%|~==BRr<&Ugc!)tpo8WyDj`^N@lBdu#qWdTMN
z=oaCgn7%|BAA)8qx4sP&c*ffy+<;jP0FscdZY;stX8dTy3)16hPiXIU=BRM9EcBB7
zGcA07SMo&tD=;L4<?S&=@1Jhm0{K8^C1ZLxQ9xU-u+6jDrKKiuemqtPvz*H0jhd|X
zPwT4JOA8Mb3--9ARTJ?@?j<Ka&?QVj|DVuh)eF!GI_PL_vtYK8s;IYrmU?F~NH--O
z&2k+Z7>c+h4NZ`2Lkt3KFbR+}%obgcX!rFm^stwV-DO-d+;o*QJjCoMz#*oSMvV80
zZ*x;Yg(*vSL)ebc81GP;60dZ2N)%Ae2KE!~1t-?S%61+12JMl%*v8O=RwKTS@KwuE
zkbwM>A18lU??57ExfWR_B~Uu?MZ2cAzMJZR%~-?$U4|VT_FY6@?b()E!Ofl4p-+?R
z#IRVu@#P3L?IbOk?&i`JG(YX1!zL_I`pT!ZZRqxXie-~4@pH$fXE;#xX>7pvPbaIO
zcnz-jX4OS}WTE(&Rec)R5}@~W5}?zV*%-+;?Je!(dm8nyV9tu<G-H`tBlh9v!r{TH
z%|kXD8b%>zW3^Qs8Mfpix}K;dMP*ne10k%v<<=7+FIH`B7vSzly=e&1J83PDl3Jm$
ztkN@)ftloVBMLTON1+5#1i3tcQXX_I1`Mf1n_7pg#IH0Lw0@>?9-)0eS!W&D)HF&e
zJ<1$i<1nl6xDezb@59}F_rgzR%GW54^s1PG@bnyy)%V0^r~&9Rrb!rN?)W00vb)MR
z{|%_iI>D6u$VnyUZY@E)e*6m1zOqE;9bqEOkZk>?jnq*eqT0+GlKg_D$zHK>*>TcB
z@rrSwqP=l=+izgMsh)&g8sBzRFwAdZ$_Y3=4%(-j;+r&~5d*6lCWb<|KeDBbB9;cF
z@rAv3N!}jqvX-GMSv^@F8BrDJGlv{?qIQY8D|+}NUBVg0Pbl5vlUw~jQzX{aW`Ofa
zfQz~%XLLqDOQ7_>!rx=lrgGl1{a<nVXnUaZe2Fz|1zT9IJy4OqFxD9O?$23NmvB_3
zH|m4|GvTi;fZ1v9j@F<}A_8*x{qo5jk!`!zz-<@g5D$%?ILFCL@f50a*=*dkcWKmM
z4>fbl98aN@MeMF5gJ@d*k)@~Q2LkihXSAB=RQhM?uu9jiXSL#%id&S*tx}=p7oE|`
zJ~V4=@_1d9-CG@0IF9l8?)N4#af__$#Yt;<gCUwKOd#CzIL)+^lWw|D8X1C56=Fhy
z@NLJ5len3GLL&LED!U5w@mK{n9ZM#T8w6Ia!^~{#-gNsA`0cBagDzyO+*-nf_Ti}t
z!aV_q5u=%`un`_%NShY$#m=v#kYc@|w<(;uc6h<Tvp|bNb>)EhWNqbRl<LvYfSL3%
zO(y7$0mEkk=4Odp=7jUN%`3y)rvf-sp8eI&?F;|CUQxljC815jenG1u+&XNM1E5Sp
zq|Q3n&=ba|YocpXSoL4IxEdm7Q^-bODU<HD=!EE1{BpMfK~PazTS&X~@o#-ac}T6C
z;`)nXQP2w8U$MTPXXw?X(hc1l6jEQ9D@9#&+6Q?r(jDS=X*SkjbeYra6>3;>Em=!c
z;<AaLHWUKXUaIV2=--uPl8$j@tXx?m^h~IunwV|hRLKWrC{OsE^qz+S$euC*6Q^CC
zj3n5gPj`#Qj7rL4>RHO~%aB5D=$II!Za*gf3D6OA^89!&GyyRyxVcQ{Me|n$V~2$X
zfo|3<z`q<N;QXw?^xsZ(gwM8G2ck@-*W_MiCpzU<Fw<F+l$Iwn<yHHLZL^q~g^;w9
ziEe@axWA0vXGxFX(Xb|kXbZY?crTfrG7^S^AZvrF<=@XxpZDfV*8%W$Ov0xtd#4Ow
zHX8F=PBu0SJ-CR7rLKEAIMHTTw-9r5!G<V8hzh{xN>Fg$(>Yc(4V#zadov*Jwv<N<
zwM%t>wjhNtKDs8D9lD@Lz)S)`>SHFBSPTtA4B=YmW6A5GL2QT(#H=AE38=q48A~}@
zCwu8in{-_&Y@8ZZpwkX|oVnGO%%4!Eee&rLYxX>1%Qr_#!NWZuDkA+Kn~JSs!)@4Y
z%ow@>@z@~7^kaJLg}L|vl4NttYPO*3aUB~_;2}fG?y41NI?azaFtYRHlqU*%V!NK@
z8eUP?yJK@*sEK=)JGc9kI7%!Hva}?w6Ob!BdkU&2D|lj2^>a<tTE1;$Ba<sBUhgH)
z5TJ?d#&UOlkUMC+MQavL)!w$*)F9+I-}{m|UK-D`s(C9*t5dHF!nMT18<rWMZi`q+
zA25^EvU1RDt7F;+Pipdu_nW7;zOGm8%A<u%kqpatE1Y89V^al7tzfJLAn*vp4z~1}
zc94p?lLD*@RrVBlH>lev!5`p-IB@4p4R6H=&`CEd<<Rb}tsm}Sy_AA0Y04p705W8=
zl96mX!OCHM8n5TO1-G)kaT`vZCS{^0;D+h08$ieB+|#73G~EIerUYnItci@cpRTz&
zh2h&q^kt4T9h&4eqXq`i>>4xq-CpOXH@ZJtBi_vN!*GMG&L-|`iECE_WK3>-{Wyy@
zB14CJgw*J;hCR!I%7wSP4G1tynZK=rsLw94E1@a?vt3=Ys8X+bsA_>8+fK-3(+b+`
zGr{b%21wqvi$9Mh`Mh^!Q?K2g05sKh$6Ad~yJM2y6_Tt~fvPe37;)EwRtlT^+1;U4
zBKYTs{^)Z8@jcM^G}~E)t2v-@Fks;`Co|NolgC~y%51F88fY1}WGh+D&a7hG3XW5J
zQIme6)fkHpqqIks%WJ|Uf<yRX5BB>seeO4>Z|BD+whWZI0zs{aS{DsPH}Ur`Pkk@w
zkXvm-2F7N|R#ffnqEuz$mib^pG8&J(FZez%yb~YIfvJ%Ey{EMJ>&^}(_nW|ZlAh@A
zJ(LibtDcC4mU{8M(GqfcVmc%kJYlorU1N!{faX=JKO1j4_f1t^T{B55YG*7GAc=DL
zSvP{4)>iV;<A=VLL>IwM{97fhj{3Tfs^nN!0qA>E*IDh-+gZ}5$yb!vn>1CuofTuR
zi(S@H^yIRb&7HoP613#lQ7k>RPR_vC2{7ml;B<7izVo10*RCdSewvLR_|6n{W1}un
z-r|T6d^|*1M6GJlpCcE7tlE~I&~%s@qK1ekK1Y2fc8_Yv*%~P=zDmTdw=O`kw!BrZ
z3d9TY37fR(-NN}y_z5X{#!o7+LzQ?--QvSPx<&a?O+Fqd@wr^qTHu?}BcMm*mTI%l
zq(n(G3sWalw>A-58oaxHamiBQ{u~3js+#X1CK>%lf1GBt%<u8h0R8x4YNWfhqX`l5
zbj`8;v?VUZu^R1Em&$P-DZY7Ed$m75$)lWX1$rhTH1}lXo*_Odx1T?FHCAlFUTe=9
zm0Vz^rilIE1V?Gg*^ef%G=0efULIVKvhw)w5P&U}dnrUr!Z_4zID7WFqLx+yHeCuw
z&I|&HLKT89_<G2QN`}J>)ipTpEYP*qv1BsF>H_s7yZYzJEZbxy+r|kSG<@`Fw3CR{
zIg$ggtx<~Rp?fd>AL{=5pUwXLAIGn&TU)eMv{hWKqIT8ZS9O@7wO7z0c49>kqpejG
zwMUG$wvgB(h?b&ujf5akn*>qBEcv9b*Y&)feZBvJ?>9f>=9Zjtdz{DPc-)WUxF6%p
zRhu|QGQuwRJp76r14C<hjVF&fHgxH3cQ+!quBpDEU82bv1o<&a`KUI{&^qbs2CMQx
z2b;-@x$^V>C;cs_UQ=IZPTfxJ>RwUNP%}U0YF{*BM4F6l53g1VhZU4eeYo@>_-Gyy
zDee;DX*I^I5tRTgGNrJ%5XW0$FZibows?~Da}WHiu5v}H^G*oe?CTP%WS}@C7b^pA
z_YLunT<Pj=O52D#bHCNu!_)T`OqEu-02WF~ZodweR(}kus9DpB2yyY99dr~AoQvl`
z^{zi32UrC-#(+mCk!wW1ymbarIgW)~GW|oYTB=)h%J=Su>}&%gKiK|GW#Mqm`eNqX
z?k)CcBqg3({s(2oTPUt-QS26VqjcJTqKRVT_rKfiM|Jg;iwGJYc#p*+C9ns}yr$sv
z3w+6T0cIpN(CIW^t9FZvc4505f(%QoJc(7)J;}(pXE(Rh?A7LcBt5;l*3sC1)WI+y
z48F2qCzL^S^mX-Z1GHx2yP9sDi<^5L!#1tx-8%t#^Av`yfl1E9$}C-a%~=#FXp*_N
zNU&tsPvUi>hmLjiS)CG*qVPi$gC(-zuE8K;SjTpcpKF2~+f?GEQtiM>DKUS#mTFSJ
zdFqvbi!C?>Hy5H9*c@27I~CAc%aJ$vbclQOApl;TpmP1i(Sw$j%Bv<nK&-OJl9@?H
z-n{z!3}i=lr@oxQk*#g%2f9J79siu^^<R%yd-tC_<)F4E)NW~8U2UNm$FO1WrS<cT
zq~eN3@1KgCyMu9siuy$B{l*m2T)jyzjav{I4nMBBsD5NS#_8JApI>5j3vab6@qev+
zkadPHGPY(R3X*fYS`mk7fl15&62RJ@wl1)RST)Y9T(G%709!CO|588=Ox@OX6hzt*
zt>Qmu*s91$=@ya&xGyB<a`fbBLo7O)j*cY06m%0p8O4D2#8p`eh#t9T8O{fX+AIiT
zM>u<Vb4or#;o>q&IT>`&9PwfQeaaIT^sXggnkV>&?M_C-JGp}Hl<w@-i~q6FdxXQ@
zk=*M~GAdPWm{f7pQ^z~~B$dVW7;QK=m3`;Pe?1CAG9Ypa1h9M6jxe<wH3JgezG&9$
z6Q8JZ#uQhED`uQnNL~UB=AUs@J)+1Thys4%X2lqFV}!V%ne``PdR*YQB<1;(-JEkw
zkhi7njs5ElOL8sl;?`b0nM>6V)9T*}i31j5EcNn~Z<_zCHO%#&87^6WpNcBrx={T?
z8_DR0IqyGrVs>Fhb=Eq_oez#pA-*e`u%RbyG7~P(1?6bQekTmq9r`XYdf<{92h$!7
z-#D&NW`xW#hxBS#QHTM~@t6@|$Vt_=#=m^osKC~7&3i6QGP9#k_t9$+5LbU+@#j81
z0k&`ZaV>nHsoVD0sJ|`&PI+F5l8%0MHQ*%X&y(s8AC8gUM~!OtX&Ps5vhD?`=2Ef@
zix8-S$`x=Qa#6tn3dJepR=-oCVo^xB3a{O)`oz{@V@!a}GeL09MQX6eUagakE6mOi
zqTql^lu!Cc&3>IcLm_7ky2sAfc$m%Y#-h<B6Rq`3OhIe~jx=Xf2ad0Gh<UE!C&xRK
z;M#pE`%0_gmVbL;n<*ztu6U>Q%>&e_F90I5n2TXyA&$wifUAPZtfjb~F&9QHghG!w
z@^8(Nb)~o%*7n<557x-YlvY9^A;v|+g~D}!*$HhXD9pdDOw|A=bkiyEq10K@jL}dk
zt4Ry}%O?j7gUQj$D~jgOzxErXpQOH%Gk)u+`W9)tk~-?E9@$(M*SN6H>c~nDSk7S=
z2m-ITzw5&kG(C|6)mEJC&v2G<M^5&Q0+}pxCqigHrntbD*DLhit!XjJ8;asuTbD9I
zWAfkDYftI_he~3ILRZqcJaBv4L`xGIF>YzMUaIwsv3c4-3!igr4bd{`<WWAG7$)Gf
z#hb#-A3nEkg%@C6RSP-Ew7lkPRF^h?+kCIaDB2O)IZ>b!VQGJ=d<#^OwX-81UPIoW
z!RqW}2V0x=F7jm<+)d%tN*nFe&p%(u44GaAHN{%1S_&yZHKxxaarS5ch&uepg4;-k
zS|)3#eE4*Fb*yd8nfp1#-kb{5PFZ`-<X`Y|EUT~KdW2FLJ_%>%58YklTS*J9+BM`3
zx^LC+Y}mz6^rn+1{C+&L(ew!q<>N{!%ACA)MTI_C*)%Q0Go&QknZ$3Xot0)V+nvze
zrK{ql3+z&%s<wFT^2<C7`OooW$iz09Kjs4|0jKwI0w^|v<1bJtJX0q(KD=aKLdPjV
z<_FK}P2NiKdNQ)(nWPXQwV%EM%JPWVnrP3MeG{NJ@uR;B+w`$Z>mKy02%B@$lgNrf
z$Ey4m08x)VzjU^hwob?^bTM<6O&+OjuVg;Usbyxx@&@UnwhpzBK18tA`zW=)v24m#
zXk^{(hx1Pybg{;f!z?%jx^O+X#-0g5z)LPY_7?%v@Nd`QUwm|A{gKW?St0_*d!J_p
zW)6>3G8{P9h}9PTnl=itDM`znJE}+iBYlLZ*4^eUZ||1b?%Al($Xh@Gt8**KjqlRS
zlpY8k7mglmM^<hV(iNi_+vCCG&^!{X^G|y<Ln6F}Ga~_hsGO`O=MBp6=LQQu#{)qf
zYl54=xbN!l=?XPC#haR=k~k9dmWKCvY8L(VoQ2^+>9p=5^j>D2hSzEC2<*L@n(nYV
zYwC-P)1q3aq+#DCYQs?ZL0=Ei+d96M9BpAKm`G6fAx_3*9%fZpp*j41PME<;%bJd!
zpfA@n6NWkc{C0nu=DCN+!_5TF=_rdS)V{rj4@X@&<hWvRD!Zr4K?QRl6Ea&q-`RDj
zh9lRR;~l;h_E%MNs`Q${ic$BccOE3cbi6^(0QzCMYh12B(97HVejY}{N3}3DP4vsu
z?OCnMgY0%L8ssuEr^{SHI#yEipBxWE2rsYyWvrYa5_cyC^VfDf@6BU^Wp2`To!6gb
zaiR!Jr~w(N+W4{QLxBz}lISx(DWnwegta?1Q=xIj-dWxu(!mIIkOBsm?OucR0N2Lx
zb9BPgT#cv+7j@Yya^6=)lOG*t)%4n3g&6>LKsv+9I4fMfM+5ovHCdXDzunf-0R(~b
zuFjZf`{ABg_<R6|uE@B{tb8@*eLc~}c6j{6eT&FSk}dfBLs!dmF*CS#*hw)#DEphU
zpHS+MpxDPa@vRT4vG<cqTdw(sd{5J8U8{`(Q;#X2`X^?oV|N_UV;Lu`7L*YmK|z1D
zUdQYbe?BjX-y!>YKQ02BMlKdGPy||v1V_DgQ^-`|n%o-5jOuLq4>`q<&ZpBK;XlcX
z?Rpnx_i_(-Nk`o~J>9@0bgVaA|7oV6jx#w_<rQb-I@HAi`jTttbEWvp*stQF*zG?E
z>bi@aplH5;aY{+8LB`~V_Ng<D^T<cJ2A^EL?6Z}2WsA9?eqz~xfkTh!=KiiU)k=Dm
z34M=<D&5c1dl!1lYq~SwKl7zUaG<%wB&CnCtzdpbFSX6ZAJjkOBjkfAzTgMYbdMWI
z?k^nmWWRE7vSSZkutAxLG}-B=yj#%PcdwVyFiR6uk~pCkK{6JbahDr;#Y>Wc(N~uE
zZ>Mp5TZG<rh}7qds4j34K<6!KmCXP+_!^tzDn<&v@(%C>%#63Lq?oP+0DcG7f|2m&
z*~=@lPmh!XK^oo*^C$r98cSwe&#P3Dc{$Lo={8kUIiZq`@M7FPJj&`>{pHky5k{8{
zozj^%WAx)u-Me$yD*+7<QfQE#Ir8x4Hg$Bq?g6oOd_KQ$w7#<cR3SI;7309eTC3Mh
zHPVy`t+wHlk&On;u5B-f8~*K+a>wGs%7Kdj;0w3c&fF_xrq)U$RdGluyLLyVa?$x)
z+`0(;%uyMa=)m@)B0P%R+UFBpm+8Y@xo~l3?YwN0lJSyubPUv#OfIj0`#3Jz+{6eS
z7X>+YCqTUy-+`}Z$5XaIk+`V-c|MSFlE0KaAh_H*>ubw#^~o{iyN>DqNwqMPBVF>o
z@1rOEh0%gOY_>|x5<hB6`efL=n({47mJ*E<ZG_B&zBQA)UCPB>Ya<Oi9%0@im;?cO
znf)3*Pt3K`!=%B!r59|a_P>_2eQ*qJZNT|R`QEpxeJNf)U8Tfr7GJgIl1w(eepb}`
zl}&8zSA1f}x37orNIl48#$LDUk2v>AJS~!=T+MIpAao4EOr*Qi%)w^ZA&$Y`w<lBZ
zwBDhz8a@*Zca|w8cc?k)s!Zg_<0U|elK9A$Kh!Je4z6+iJF|6^XUeycw|}tsjrak0
zK{|@E^}F(7=*hlka<nrCv+?{oSL!09Iuf?@y!cT#37@cXE<jO#LQkd6lPu9M+wW)E
zqO2qnM8cAM1IN0%c-9d`)o`hNzmGq}|3k4cB<1m0{uW5PE3i;tlt+s&gZh%xpIE<h
z#$g9cdxS2Zbde20OzKv;PnXC9JS|hns>-_`E$6QI2a;Q>xHPn5mWj$u`<auytfyS(
zwR^L+DHRp5$YZ!WK`hQ2RFz6F5gbrtci#e>$HS$WAQLq~_~*sl{!;sIe8Tk7dPcmU
z0F>A(XX&JPhnV)l6rV@jRYog4qQn}ez=hfjI8v6qpS{g-JL9_SGc;IEC7pno`PR01
z-6M46eC?nff0bfbU5@#E+xkZRTyZI%hDxG+33)j<_`CN9wKd(;wv1sdHbueh0-^9b
zPji-O#$9)fy9Fj=F_pC|Yi=4zi~VJ)resa%*3$UdL)n{FqFo<FY61GIsibJ{Sgqf1
zxMcp+8-W=a_4|&pmT!&+e^6zhX^s=VM%-Y^)yYgwfiT=HG?RDxLd~dsUWWQzQ{82i
ziD%p$<S@Bg5AqK@wnKK+ygi=7Z7Q_L*02>@BlRaVy=wD^)y|<)t9TZXNjq*Y`9idp
zvb*3^;7-`1dZ7$cinLtZLRQtn8{G;S*EdRrFdaUFAvakkEYf?%X&CPesq?csl24wf
zJN`B+D|N1+cF={u?nKRD(B7u&EpE4gBcBLY$z(60`GEgOe-`xAPmk%WvD>UGx>Gm9
zEz0vN1^$dr4}-O(G<yXlJysa@z~79+p7-s`3hds-Io{S%s-(>4iNI`zhYMoz99~z%
z1r&5h|E4zg_`-;ez$xLB=KF!Nc3sx;JCL=O*uuYY8Df?~LsB^GpHU~2?od|GuPfBb
z8o!x$lY)*VZx>#ON)~&LGL%AAo5IJtEpd*zr}pu@A+-V2*RmxuGEHD9_YBK}J0xa#
z00N%%g0xmy=kx5$TwKrJ#3>VuWSXV8V9YH;tDDAM2$9Y^R;dn}L#WZU8%$B=xGn=<
zKL&n|@miFb;8yXM>uITjf5R8<lRz0PWpHy!iX2o)ko;hGv|O#`-oa-c*cemwXxOP)
z!feH)or3HTMI@zh;13&UqRxSZW{mTQmgU&S;`yN&DW#kM%9cwwYv#_-n!q^jaToB<
zA}-ngBMZ$tH`4wv687iU8r=s;Hak0&jC?fj+%(a?2QQfSHql8l%$xv`rnlBdx?iI*
zQiu+^{3YU|wb^IB4$GNo2aG6&yrujc!l$&tr~Lzr=?(y*0MD9CY#abkDJ?B4k<~V{
zRw<hl+ZkB?7Le{*_(v0SaUSSY`HG&EG}|lpZr!=ItM@gg(&gPsooIrC<3H4XQfIQG
za+R@ELqH4WeJ#;Q8tI@Z;;fZ58AuzL6KEzWj544i-o=%?-_^9VgWXDI@zwcZ|16gm
zin-%1mu5TO^mpQxUh>W4o6f_HSiRWliDTYDp6MGFc(N~}V6ec|4}N13Q_iAte>_nh
z@jLP|>2glLLwNOk!lw)I;ef9V>sb8dcw37YSW<dpOCcx-I-sO;;`2_<_fU{36&)XJ
z>MmGh$xN}8OoFxHYg9z}JRPXkEXXmwTaX8)6YIf_Yo*7%KC%<;Wc$O{V!(AXvyqPk
zA7}6u*&C>5x#*SeN=p7|v1!P68<5^#@=eQ08*BDvKAMj_&Wf$y-?yXB`Wnd+Q~3K*
z-rzF~-KvP|Jz|+eaXes=QUAoeIkU(^DVX7Hf$wO_h74~%k4wMRc3JSOM0l25jOXqn
zK!c7qzT`CC(YWO+yIrHYyyL+$WFE<%{3G&UQ9dfL{${pRpt&hO>@<><Q{X>6+6-VV
zG^@J=V2`xF={}L%q`fuo_BkI_H*j`vUSB!nMTyWx*|iq|{gF_92->jL<;e*7G6oSB
zc$htV*$~B*7SX5o_3ocY7G6NOv-M!NOnCis=ftwZ$B37kP63mUIMU(9y1t@&Y?H%x
zboK5UgH=0YE_-cg($fx5uPT@9S-Ae>j*V<eN8*Jp!vN|*w$+SLPaKan)HfncjnMiY
zx7NNI)?66ZP=I_;FCi<IW|{w`0sTZ|PQdUE5<B^PcxDm!%8`}mG24eoeAIi+7RJx0
zvVJbEF^a5KjlW^ta#=|fSW*pQK~MCqys)RkTP<*OISi98y4#yr)?6~y?O*Vvp|R^o
z?Du1GQuCe5i*FT5hd7a|xL3}FmwMRQt}E5~FR!PPYzrO@KFTe0@I>q8GiRP@H9>H_
zJa(f`^OHhE(&7<el8dzu^wP58z7^KVm30kpd=xsW3`<7$XeSo-?J#`fb+yKs5WT5i
zv6bSp6t4*|1?Pk)BSe+bvIv?J89Q7s_*0FR@{B&Y*~Ow~BPfOYn@d4W)8@NvKNtnk
z2<p{yyU9xTbXsQ%!Gb3EqYQYTs4ZH-yS^Z4T6?Jop4zu&Jcv9iK7BNB1G=~V@_Vrs
z<RKRKgoukM$e*}?9-KQM+Y-4~5JGXy+3QmtP9Jnn$ueh%DcsHoDBGftB0x(TL8k}v
z9!vc$5L#8ZA3p2@S;6#;z}j+57uHeOJNvGoMi$Woo{O7jA#>M{8*)zWoXHG0$+`=y
zQrp)dipZl+0)(tmqJeU;%uV)xK64&*n+2-y$(!oVpMSn`FK||03B#uU(`#d=YnR@?
zC74?1CiFDcezVg4najI&aQjlRn@Nj5rda8gW6Z#lxO~MXJ=BD<&+gozDh|IjX7J5o
z{RFT;q&5oH;_?E02A>uA1Woj;MkHxB&GAxm4qa-*%+D`vMoD#eeX&xL+mQJXcxy(F
zIj$#Vm^;V4=)9$H8pFPW<H~dS$hKqjW7j33U&ikMQMtWmA;l~UjCRnyQ<{_HyFJ!*
z+#go=r_fq5p}~F5_lFFmjwUUgp+3e!oHEmBkziJPFF42%2|&)zt*EQ(_sY~F30|XI
zv{G=v7x}FZ;Cxa3PCZ^bB~Q#Xe>HUO7;kfBkm&{k*U&0^tb@$K-te+HoF9eS#<~{d
zcw}2@NT8Fd(T`0S#7pyywQ)x1L}59aYj0AU>8yGcN9wH0X$7w*g8P{5SU#MO3hlo*
z`#y_<npLwSBb&kcwcETA9ydW_pkeO<R1`UoubO4x^l^;eAAdc0)hherqxmbZHAeQI
zUw<OX{yE^F0u#7DJ~U#<uuJnC-1-d*_kY)bcK!>MZbCUdT_Xi=0<yhC{H1*JsjO-c
zyp(_TJtI(EUB;P#;WvIh1Cz^vAk&9BXs~CQ>ekjtQ&xHj#pfBsJkd%j%d~Sqv82Gi
z94>_L?MX=P7AdH#PA&muYhfj8D`>6sOg+0MAA!lKIiG0pqME{Q<06eIslC>N_DgnP
zi5G&o<$Pa~xwVFgcuI}Z@t`<yVceCMILfw%Ci$Z~Esp(m8WhdyKl!#5H1X^<J$F=M
zgsFe?7oAWvJnyi15O#<5bJmc2m0O3L)7KxwY!K)^pl@fn0G|9kR(mW`Hm9Eb@rkaY
zv#|dK!BM5NB>2n+6>m#^;WcJiC?X8jEZ#2`6mY6M;8yNXqeneY@8kr#A7AAxk*<;|
zbTOmH%Fzhi!@{usv{jl59{0u92qWGrZ(&$lN(t;=COM(f&FDL(h=UUg4dySb<lxXM
zqBT0(D=%%WR1Vs;0@h)iBk2YRc?@Uw^!kfQ&=t}m&(TE93)wE@&WrPK)1CfF9*SSl
zy>!th`HeL!CGJ7z2(K-6_UD_ypUTmC11u#{?~Cprw%*s9%R7|jKr6R$3|+^#o2>=N
z0cVkTJZa?nMV8<3Usb&Cq7{%iQw8~u<fFBFm@<SK{-lsd@elkCfg)bW>Cn!Dj<jqH
z>!qsj^k9UgSW_vzsy>km8UunqGG(UV`vrzmSlU4rV7$*QS&3Q2ejm&w4f~tr7Ks6s
z$KTXj9Jm|LAo4MIEhscu^i^R_G*WF&_p3Xx{6aLK4mq7nXxe1wruoM5njK!TE+Tp&
zgvL_r3CXgS{lHg(J2uCQ-Gb99@KO8OTeWTy)u}X!LgUVczZIwVcgYf0d_S_^w+i$Z
z+S!_${xH~M=_{X?b8|$Wb$Ml0^x}n^)WqNE&A#hVuB?s#el&Q@>Y`)J{d=aRuI&uk
z#Qx|r*JNjnjO^#)tvIb~mI0v#tdmoAG8xfhEJ;#zyVA?#F;YZPNb9}rBDvwhliuP~
z-8ra*Bxj`eV`7W>6Fix0TK%?$EhPd6N$OyukgVq&8WP>KwUtU2s?5z0P1hW?^e&?$
zFwj<cffSyH<<0%skESM$Oa~&HPB5-+pl@$6Xg-0NQfO)3J+%n^r92^S1HpL>*zCra
zudf8Ro+p73jLC9$k3WA-Q&+QUgzF{cTv)yOv>x+k&A=?2D?i1@8v+#i-Hdru-b(<F
z`aG7^auv!E4%0of0S+UC!VG+k&h+|5@H$bQohbVhFCH>{W}#Iq=+BZ29JET{G0n?3
zDfLW95Tlan=txMZOvmuTt;bh}eT0(lhrS#!I1rA_gvwMJP9jO8GR*=wn#8A)nYAA&
z*ATbyzBVzSBB|<Dtl0!0ejne+1VMA<{Etx(fiL;6O!Ly;Pm3DJB@E2l6_U&yXEAEk
zLd`06U4S|+l~y;?p@hndlVV>0-*YrmBUq1T!kHsEe0^jT=UzfVYj4%SWc+7TYrvRL
z$^X&bCqB~7J<j|Ix*R^<pe+%gGeW%M&IW+vp_USc9?xaEeay?fiMdrG_oc4fa*P}x
zRBEU{QGNk#Nvv!<9%o>BDv#0@Mv5^jCx3gr4Rj987KM2T&ofwZwRqBn=e1b=(gn2J
zGOz7V#Xd9cystJE6?$ZhIS!j3Xm&hn#wa$JE{!7MgLc2K#9oo>b?MKDT3po>KrgLj
zg8RTZmYV77J(s5|byqRV-Ue?Le9{)5{tVf5kFQZx*bwS=Kk8bJeT>&|NnAED%n^MB
zheP;&gWZj^RbsUUBjQ^Ps{`gGj_l+_?C^}-YZNKAHqt-iV6-mPYSX+lI+4G|j)~~s
zAUyLgw$B!_luIUgcqDN0>Li=<XV5<CqrZ;jlH*1)8k>g1Ue;z|=1||gL#L-0UOqL@
zV_cNaKJ_Zh=B)@ABcc;eskmOmmDphQam($2q8()n<b<xSP2N&(wIlmR;+B4KDvh5Z
z^(*``<k{s5)6m~7=AOJ32lRZS)Q_adojwQ||0nY8YxhK93)s~%CM_hC3196)bDJ^;
zw7lY_X75t$bRq|vo!k10$8rhz1qlp~S}d=+V+I<@AxE<iOVI&q2-fK(Dh)If!N?ZD
zWeK9YRI3X<$vrfF*X9`Ufy%9X)I8C&a--a|fXf7N7oUw%Qe85|M96_YS|2?I7Fo$Z
zSG@$wxggL{7YX>v<;(Kz?KU9j8k2*~^p!?>0(ReB0G2967{-0GRv7wSr#w(rpWnWz
zwfnKVTc%c1QDPd8#~r-`INFxHavx$s>jfi31Vb@j>zjtI6Df7v!EWC-%LRGlH%Nt}
zkpZXNQI}*FP&4`N7_G@62Dzfc?TQc@awns1(lW`wkWotC>GhH4K01)lB#qrOnXnbj
zgQ!>ftsXyfTBv2b`y;`IkIE4DkSdEk{Pmtf)hTtjlmY#^ODP6cM^@1VJ-8;lE@xVq
zPGYvff?uJ0qDbfH=fbs_@!VbN4gXoeqYx1`Xm4ofpqN~aWZ_Z7KZDsAe*V+PrRj{w
zz`z+%X$RLU56Xw2(soy>ro6)4YQyRs($>jk-s3su0$<$Rs3Uw1{A=!%I@z1pV0f7w
zBV7GRrRpfqnxmM{GF13%(^TxXNtrWk7Q{w7gMi=Yzhud_nR&fd|Dvc_h|>^qC~ms7
z-g$oTkl{EA@OBeE=+1;)|A5fs;B!{G)m?R})*1MT%X@fId#Q^>Ck<56jhhth%x|wA
z$u%Ea(_Tbc8X%X(bI<z5D(`PihhR%A6FsFG8^(NMW%Hnuy0Ybig22rGt@mKu*dMx2
zg?ZCHS6#PEBVe~af7h9zQ)u?S7Q8SmadU;4HSgE9v~FL2jj^8rz+`%9fyg*HZYrn&
zGH~$lLI~GEJQN~fHKc;PdDj$tN{k<)C_}<+RM)H4Gng%jo2{<!GWS6x*E1s$y++e&
z>>5=9AON9#_^RScorwwB+xJdV{Icv2NE3{?hQD0y+?FNGjrQ?M?07TLkgR~nH>>05
zPn{k3+qyQUEy~UL&cTujkT3pdwH(=h-N}hE<j`Tg;#nQmyl6H7=d#4yNOm6d{+-f^
zi2*-#D}4&}b>@}pD93Dh$k)5JKTx?-U(!{gP>xq8bid9H9<X+HK}@DKv<y0zPJzgQ
zI3*0XPdzQ5%y>=Q{31Vz_nIzPDRD|MoqThwa<{Hfr*dRJy+kIiA*wv7zVQ6z5kZC9
zS=K!QowzP1VRu^BsuSv3(uSPaEi}pEwy~~}ijL>XU>WkIj--^~_~;IY#whwl2#?>^
zJR2jwL9QEm2n7^T%oTa5=im4`2f7CrxPAnTtE?sbAO7yL<Yh-u^Lw#xVxG(W5nHH(
znT6i1bwB#>7(m1ncvy0e*g-#_E_Sb-uk(@7#JM0KZy|>DhF7PCx!hJ*+~R8-)qI{1
zK&x+zM&r=$z9y>+d;(}n*-P!pW_EXtDvk^|5sL{%U!;xWGUev3d?gq57qVApbaMF$
zkU3sJvp!Zh-{m&6d@86hwnly=f9#8?ma18e3d(g!9kzpx0`-cC;!B@Z1j$`>s3%NV
zM1g6wkO!W>TSW@>7B&I-XMpN2Z8KhOtSNktb2ZPBl`PIta24EE+Sy3h*5P6iPjsrX
zXr^2(PBqk_SwtIKwtxq*Q-&&#_*$(KBHSs}*!R9=>gpVz;N+)%J{3sUSA6U7&*>L3
zaw*V{sl@K9M3;;zNGoC1qwvzf!<nx+hFr3|^nnnXwQvGT6_aD0NFtwK0PCDN)%&A|
zX{gax-?opynDW$d^Pk?|U&~8UuOil<l5jY5#_ZS0l>vqkt;;d&79mDCES9mTzyVv&
z4Zls4vJGx3+Ze7h0(!*^$ah#}3J50fu9i)xsVA{5@pSKBK>DGx;982bY?g1PRM*1E
z!ckKa6T((57+i{g22)1qnR2~0yt+`Va`WoaS=BK{L<U&=n=Isr)dU>I{%@QAujPDK
z&Oa}i@eWZ1C`URk24b!;h1}af*y-@DH|3WXedx%(GdU{uEAuot%s#sIhQAwXQxh<#
z@@LUDu0|-Be`385qiBbF_)4U_E455k_!-(XT4bf%d9!TA0l_mst|u7yyLP|6ILy4?
z13x;9E?P4r#~6GqQ}zGZM`?|z2g^5%JLi|hA?3#H@l<2}5Yhi<b@s#u^(E?>|8OQt
zzFxsgp`S^xoa23}+Vt?`x7FBenrR(bv*tsIB}`a$E#@S*B1_$Nd`n@jcRh~887PCF
zg+}fy)XkL_*@9LU`9KC0TmER0Nl4{8&Be(6_oO#MizznYz|G3A5QI>Z?vbB#3$50v
z7ZWO1L+cxU4z`&KC4vGglmO#QzG~Rh&A*2u9Xhv7lQ864jfHx$A4L2ww67TG-X8sW
z7?j;k|M3N@@BbM!;NAZf$Q`w#sFDR3P(qd{eH)(qYs7g{_lUZq2}fO%Qi{%BU0zXN
zP-w<Hm7B-nn^ODaEN>1F63SKv-CX?mKnnv^v{hhzeKjduTsJQBw$0ITH$8~*364;F
z*!zoarg)lw@nylI3z&nuSxjx46Du-Dk}_+se<}?byZmzNov?s`uRJiiU{mp8f3hyd
zVz?Z^4!eeu*1|)v4?_Z~DWh|0Y8#ClhTDu0yKZaeeSFNVJ6tVo-s6%F>UL#icg?sl
zmEIokGO?}a@&#Ka+yeo$#uUHnC@NIhSowL|bOYoZn(M5NB!rQ;dY{V8%}CZU5}IRn
z<y<UcKYy(6_p8JLRP>@yV_}4m!lly)8sedoF93c{=eOLG?c2B6n(QySUwnB~5Ws?-
zWLL;h7GbY?z9o6|%1AOn>`v8UHf#WUgkR~me7H+rEg$UGwI1mvB>q*48{G<cwX$Ot
zBPCV;m-FiQ4eR<h^5nv9PxN=Wg1pIeo^sb*?a6k%@2;%9jHsZc)~?8gaJX)0sjpmd
z{Ox1p;i4a|Aus*nSeb^J(pEV9MxXR^WdGZ1zQTb`*&QKo|6jd~X$M_}^ko2%Nru2%
z$Z65I<x<O{#Ibyoue`gU!NO2|Rl)|Zntb3L+`h&9hov*E$MoP3cT4n_l2`^$!ZywW
zk*##Q?ZAqRy%Uol+565<E`v99*<?bZ*U9z>b1%8K%e&(;t)rdlu9W4!4@+1q|KLDj
zwWc#F3{0eUOixUuqHJ~2oO#z$7UFVlh^m#cYCd#!mRl1TN`2J6rlR-vY9IHpeC7@p
z>#t+}Kd(>z9&;1LN?o!ucN)Q5_Srie(z`+X##T4vl^V;%^J5*g1-HFbKgwR|@!=jg
z-l^5>VmJ!WvygG0z1)B~{hQkE+`5n$dssd(`+$F|y=X8;K6O<&GhpAti}GruHBbfP
z1ut6&|4_hyTI<7|kFwWST~C;^wPp%oT0nbfw3F#lFEH;UAY?#90;B5<lIwI|k(%~O
zvMHLV-<_L6`cFXqnI-dUxl;IphcSgJBVp4u(^vlY27bMRM6ZxCKogLE#_In1NQ#4r
zsw=ft|6gC~<@J~_SYgJF<v(Mp85eze`?yVMME6kazkZ2r=k1wn=fb1ZUqAA{uX}b0
z8w1je5`zDHz(@gBYWg{5I=B8aZ2i|4eP(x>rTYJWZ&{BD%!YZ+JHq4m>zNDcc(jgv
z@8J~Ery>}5AotH?d&cTtW(X$5XI0LXs6Xl+m!z#83%_-iIokdG0s+Hw4y)<G&vTCc
z86f^Y;*ioVy{1oirf(tG9OZLMa_z!@>n#3wn;;xE+;Q*pKTRLMuJ^cnp3*nQle6yd
zKmYx|Zv*U%*us1IzgzW(Znc|ame?cq*TCN{`~SB;KiMQFt7M6H3OX2GS4tIr6czwn
zsbB1>XwDFeU2aKxv99Dvlcd8IYL88BeNauRWIN~&{8FZ1<seCTtx#<62x}1O*AthS
zQcTTM$sF+-sQl7@W^R3Aw)<zrMA|`5adl~{L*3K!*+OsM?yosL-`am#cTLun1#T&e
z?uXzeM$ZlqbdJUx`dot&FWiD0+NtuXl?FLDQ0uH;n#aRdGZh}QOFXFZQx6iLSmR4~
z&8DWpl044#>>Di!JHla^-gCwZ3X4-uh$CG3>}>05=YuBt3v`P)7q1#OE&RI|FNMBU
zdF=!0#WDMJTwv^404;D%jP7KuKQ5-jLG<gTk<G1p5o&uwE%9iwpS|&9-IyHp#(2Pe
zmEydbM5eRQHyo+S-<YNIHsjQcQry<ZyIbUln2l8a3kw9|3e6Z_?F}iKu&6SN+aF$<
zPq)ioEe^C^8#T9=JlIQOCHhcI*=ud8U!qHoN|!7l^h`w(0&<vX-Z}OqR_Az#)1lNZ
zs>Gd)p2k*e8npW69nUh8?c~H8k3Usr2T-rb91Mg83^i{C(_Tecry;;LHG6g8n`Ky3
z;8G4mb#p#iqaW(;13eUhfJp@U@Y9de`B_6=WmW?X0FKqLiUEh7@ypZ3TwR@F6o`4%
zUh3rWP?PTBr~=XpQcdYUj2Q*U``7y@o4zf{GmI=7D9tjPR*_<Kn~=%HhdopE7jU%=
z)K_o@r44U?q<d-=7#^)9`LAg2$uQ*U`syY7#WN=lo;MC|zIee(c+(_A1yWNAcD(l;
z#Sf3GsH&|F?N0+kP|Ii(t{}~EH9=CQIY-|Hno-u{M)I<WC#6w`nqM@s@at3w72OyM
zOOerg(>gDe6d!mna-s94Z3iE-89i`!4eaSUY7``35S~u`5(gU|)%u|azgK|_K^%bb
z<t96~N3A65_VACFV8E;nbNupY%eeQAPf~-i`}htqRw8}a6>%lwfslEMYl7IL?DHl`
zTL+uF(NX((NS^b_5?JU!@JXzQQwhT33S=c|r9G_=!FI7Pv87nWs97fv>4kO<J=mtk
zuWoisk;E>e4KDmsL(UL}ZmeahsG{H>)#Ruz13_;QaPn8TKD?NYuU8jvI&i(CcDPu<
z_>IHrqt3KX0Y@49Ca&g<Q(9;EXKG#MeJ`LeqL$zXS?>bIg=NyO7oj0m=lvZ1gm4pA
z%6z9H%^&Xjh2pnbffSidsE%jeXWQC4ip%!+fd^VEm5-2MTCvb#zXoF)B7`Ru;x)pv
zCYsqUPWg|ixgV@y?5%sCe8YcRzV<UuQRs^X#_$4(76Z^wET`VzYUHcM2#>0DM<_}b
z>~FDiWt$sBWDVM)dk_rjKTSo!3T*d(V(kA5mPyNtmK@quxJ$~dkK9)6bUz?DvoeZd
zx)!A)HK%irCI`3?`Svmk9Fsj0Ki#8QFJgrr%q+*6m}`7D3q-@y^<G%ko-sW0UBLbv
zqz8YxIUWVx<xQi%`6=Z04e(gM;7p6KDZ!}jD$Su`E(di+u3VN0Lf0{HS{1LgYKM=M
z+o;4}kP_%D_xBWo^2rODb54pkkiD|o5bOPl;SzBT?pbp<jazD1jKaNx7pFBO1f0MM
z`zaVEK}xWyUAz^XDD&qo$wL^6%%*z>b6)JrR-+m%7T;MV@t!Fj`^`H}_pK+@HQfB9
zP&vL|e*(pkwSPrAsX^vU=z{i?67|^Rc966~<dKxe(f$2&=TTA5?2+dU0Tzur1moj~
zL0sg9c7NfQDrc!A)3qNuHjS9!q0>PU_S`Vi5%Wm@cuY|?@wBT?OWl+^`Nh)ut2Bpm
zkcsOrMG(=&9aB~IKlUF}afUz}vW0cg{;g&E5tHvRHpgwRKFd{yH;8ttaW@R_2L>7=
z32|fkO`q$}^}?!GBLC+WNg?yhK!NozvX^`;En5(+Zq-U^aA>hV@`4z-@UZ-QVs$GK
zkfzULF5}F%1$p>QT=tbn=qLP9){V<qjEQ$gp-scs8`d_VR!4KJ>-6<vWt7XV9c^!b
z2)nb@ZY^s%c*z)8Bm^z-owYw$ZlLTA;FgU>0~i`^ZDUj7l>!{oy%vg{m`5GE&j~~k
z)TeZHu`gNCn*O@AwJ=w=fFCPXL)(txclw^2DCNeNxm-BK^?JdsI=|0<)CyF;V@?c9
zf~qkTaQJ1~Qzh;;%0W!H<nAyh{dhuGRp8_sLtlAw`xF1Q?VwZH8*ynK0DPXZJ>En3
zVK!`@ZDAC0Jmr6+VdJgw?a33z>=}17gvBq^)m03C>eH*N92D19zY)Mlf!zg0P*)b=
ztz+Y=FY~msqR;GQN*!wSoH;2t5{msMwF)SO##Qb-l<;374J30jm|v1K$^KdWTN4Dv
zvzwXbR<LOI^K;V@cJ5|2XS{4FY~2!Tl>N~@c>Jv}3SU5wZt!h&jg^Wcv`%a3`YrY4
z!qy2W|LVPgzw@e%L^kk4+2G!F56smPuZn*+=Tq{JD<n@|@CI)ANign3)!&W$kOFOM
z*QxwLdb%7n@xzyw)(90hFY9b5CN`$sduecIc*b^Zztm(Yu0JuU5HPnOy!7C;Eo9wY
zfOmfkjx~1w@PKYhh>)<}-Pg861vlIAG#%9YQ*KJpY7bJ*C+j!0+T#?L>g}xM$B=P;
z(}{!9P|@D2>Wj&p)iPJC34pac)%Y+u%XfqxfzJ|;`%W$GElw)~x9(1H#>%knV;82A
zxE}H{>Z0yHCX5`ja{PNIAv2}(5qXEgaH`2u+GWwmHzxgAyB9)2YTtgLp$%Wx9i~dq
zB=SMaQ=8w83<64ey>u!W82|?uNa8?>QIxv=lYpxyT@tN#vfhd@PN}n+8+{v`1#5$Y
z*;a+QtBLXZy!hp4q9-q?n)y|%C4Q_KE$-8X@GbfSA>Q*0>RBDW2dEFO#iPo8#0CBA
z%F=Pn?c?6kPKkp3>qg&WGwNXuon!aKmwlpz1oct8T{T5i%f9m=Ee!mNvP_1p4F|a<
z>+B3axyM^+n0wlOHcr#h6JCo$=AL(E7K2Y==1gCeo~7h)C$XP7*)?}EMb^?TDvy`9
zAVTh5>06lFSLC3{H+uI=deVBH*LF$Bh!Z&a3@w2EUEI(b_`}|MIm{GgRCj62p}Avk
zMcwbN<WomEH<3NlSLb1S=?{-_ker=DVf{lj<9~(v7tqF`*ui|^8<K3tsGvzZ7au$9
z!ta^Zclf1yd#DD1!F+I>GPQ8URdZ*z#I0_5O$sl4j)g&Wma@2=%^CHR+WJc;ZT5O(
z?1s%+Ex4}J_RcY(7t{n(KK6Pqp6iW?m^jO|9Wwk&y<Pl`dn_dUm?1(RQKog5^x4%5
zAA2|WcWf%g{Y`gV|Ec4G?p6j{c-fWu-Co;qM3I)c{#|DJ2^!QHwHHTy9$SK=k$79e
zGmSqP1Ws%$lYOh(JW4O=5cCjJMz^*@52@U+UUr^X*BpNXNYNd0`;Nv+XYM~E^DU$d
z&jI~$uN8fte}stajaKVx7c4bIIdaE{s;OEqqb)I9>Fnn;KboWFxxIluIX_xi105#8
z{pj7HSj!xgmnviFXl{l9k+zJc2vY;?Nd?|WD+%;>_&`Cm+%YKILFSC`()WdtD;F>F
z@7S+CqN)8i-u$Cbmlg&)QCojMcI<{!hUt+qa-gzk!K`0-aUj?IwjOt5;p%gV7n2PR
zu>|ni_it`J2aMLX5w{OJH;tuU$z^qSv0TJH^R`90S+NA(mHdvQ=QI%x;#D>hnxqko
zQ4@}95rT|U2xV?=_NMkW9oVeg7#EiqtqwT)s&5(6;I_h^yPxdcGR0R~)LnU?8>+A_
zqT2MAQV<h5em(c+PskWv{GQyP+Fm?0TbI@PK18o#=cm(=#)W>7R7CF$^zqWaI{wF}
z(c&yFMgI)MmIav}%=qbFz|1vXx;iyUP}%T;(RVaVq0(r-@4t>FV#mT7xs<8!F-;VP
z#Xc*)Xa3gS4N&hY-l<WgakBR8hGL{`MoZE8N*^KL1Gjw8SEO%(h(ON7hP?_UxhoCp
z6)So_NKZh7JQ01kcb5sG@PYXZ=Ad5T2U2lE-3(HF)o{=ydoxR<vnqV=RUUBKW(Vk9
zQhpG+_dfZLvnMBg-Aa7~iUeki$8@-36ra_Lni~ZjxqSALx_C3#ka&iU{YeVI7wWC>
zZ>fIJOD1stme4A+p@og5d67#AU8YbYl95%Z&`5{JeYGsH2<Ta&`u6wl1H9s`U6gA#
zJzO3mM>}QHSt$Y-wFbJiVX*5B8BTSKPW3_MrNgBrEW30^X>F-qc50hM%MYubIE(^N
zM)8Cy7uKPB_C|LuTz%AK3}sU;3w}Y^Ymh02x|ROibMp3UVSB;Y&oXSHXfm6-(CeN1
z;HZFp>)D5uK`>HK6JpC`5(}yG%2N!am1{eCoxfte6kHJ*c?EuApaWGE9HhZe_7l#H
z&F)==<nZsCT#a0EVDmh%dQ@W35$``wB4C`a<2D@baE!TaiqOFJQRz-=Bcyj~Kds?`
zCC=iR&9d);ac=j#-TFDk5E%D?@u;P`pM9<xR{PIbk}XX|)AGmr-*+Y4Z`EeMU39<e
z1hoHxtVjw+zwdb8IiA+P8y0<k#>Y<;_-Cydy$~4Jrax~%*AABXhWgP@SC!^Q8)oo%
zMd6-!Jzml->Ghde+Q3Mhm#mej{VEwE`(2;ja%NOt<uE__p5x}_>$R)FUqeO*?l@7q
z7=AH+tc@qZ|J%Rt@JTxJb(kD*7?*d*3d7+n7351NH@df<h0JCMhmD@mFbIX#Ij44U
zq7MT*<BTCgqVB0UN7*Ca?3F9TOXrM`ms4$4#Fp%aTjlHoJBgd8I1~$*AXcyzartcI
z|Kv?5?_gQlB$wv_Mb4vT$n<`^{T%r|Kr0QzO~|dBW4PP8_?1<U=7r2?%BM=d)&uRu
z_69}r*~yTr7Y`f(@mrB+2hgFfKI{ckm;YV#OJ`|zCUh{1W6bjm2v@Q7EhWWlu52Un
zUoyY^`Y+tDpq2o!itC523M<*{H?>!P)ZG)WSC$H#-YkIX=hyOBwzQpUs;c<0^b=oS
z;u*KAF4zpJ@ziWHhn`cggx$igWo9SKE$>Lym4?-jeM+c3SbLKyrV&0)#Tne=5zxY<
zukzAb8{^R;67$e|wnYEk`uR@<69IRJs29_Dj@YR)tvU$Bbw`%pe52PFayOoMcRXSs
zbl%A?dnvgs%{%K^fdDl%+A15EA&tK>L0>V+UUM<}r+xk~Rf(oO8L>drl_mULJ$&0?
z0D`)PP@%KsIZl|6{O(oIml0Ruwd<6?8IIXqBJm}w!)~eE&x+*C-}sBDWvD8`j#poL
z_m@ATU#I>EM_VDp$k%H@!YE7+Q{xj(Y=oRB;Q)3_Ll}T4tL2-<l&MPd$RPt)t6|Tb
zU%&yTTKy1Nm|fV<ZGJ@LO8)UL|7AM?+zXS-5?lUUrUjJ0ZoSpV=tUw(dLkzBOu0nF
zGDix7w~Q9wC`s4#w0q@*zEWC002O*Qi%^V|$mD4bw+gbB9}dE41@*7HL{neV2EKRA
z0n+V+*{r)20aGQE=lut?6?f~(DcEXils+=cvDdOl%g?U6d7!E2y^eS3B`)n%AsYwR
zDMhQL?8Yre9XoQ?zS1ju$>d75Met1}Mmy%oWV+i#6=;H9`|qm%FnqUB2)LGZe`V(B
zN3}~%WtDO^)G6xJ7Jyz@RdAV2J7Sa~@$(2*%ek&MnynO)!!u{8u$>%O2kqFzSW2JG
zWE|IzwoLvKond3ZM(43I{W8_Cxu}y1X808&E3p}(Oa-p#Z<1ESHzstAlPr9wek9!<
zztXn~Hw22-ubN^}Ho3ZpR|6&<&AQVR(rVT##yL#f`fn(wn<tdsj<o!f;wOi)+~ZI;
z4cr;Q`7Y$U4cr~)N_*RLoamno2k9`nIjR;j1WU{PS2xU%u2d1@hx)b6<G<|FO-O}F
zJcu?PvJF6o*4)Wo|2Ff?#T_)t5G~0~Xnk}e)3=`-9-xsO=5`DFy|niPIB%8A3eAyi
z+1qa9%6%PXDtCl+c}4g%{>Q--Qtthsb7ZsPLd~SXVJ`I`qV-zfR4@2+)-$XI+u{EM
zfq(~Xt{*!qOqT<?fHr9E+|0J_@A3p2E3ZL&Nv}YA8x_}`#HK}d*8EkE4k*W!&?sUd
zuV=;LhB>WavqvQVt{L|;0p5h`pE;kk!3Q)64QdC?kbMIiH;W_PQ#?T2t$n{z<w3dN
z88*^J9XFzx9V3@4vtCYHkO&z%dSM21s@2Q5QAQ&CM9>yr50+LbLk%^#AtOB@xjP~M
z_2l<1z&@~9J2NWlhH=-I^VHl?NH#AIqn)MLCg^KTxV+^Xn?qL9T&3Hx%Z2R^q#l?Y
z-R-3hL&q}vq*ra;N+;+cGQZUhqHf5=N@sj9)??|9r|)mD4u?OQh}CY1>srcrHK9R<
z>pCz)_{n!&Mm6Gtm5=8iu2)93IOxA<qbMPtPXpMoTc{8N&bFxBY(X0#6cYu&Ur(#H
zQ8n?L^Yz>Lsla$_nf6SbgG_)c&&Znp@z4FmKiICU>l8UvmwF}!{R@5H)zdS>#^^8l
ztK)G=Tya`{M>8dFXZzXh^i`^bzh9iBX?S7P^_UzNYT4yErV*8V-OZ=M6MGcU*|W3f
zg93;O<qIv_tk@5|Nq`EG&REz8=kqpXTmeIyXjIDLBnme85^Sup!bEL28K++uU+Vh8
zJk~my*MrTvQCCl%>sy+5f~tk*VL`f(8H;@E=c8#F(To(saQc`1>c9UazE0l>>G*fC
zd%d0vxp%7^37MJF>n7kA-vazbz}L}DB_4H`RC46+k-4zfu>;i$me>W|x3m=Y$QJfa
z!_a}q&|^S$lV{5Z1}$aYsn-z0WZL8V7<iVV3Q})FvJ^Fiz_~-;WOwz~1F1kxsZLXf
zebp6`_h9+ki@{`0wI7eG?kf_AGsR|jMi~r0`GxTW_Q2SbZbIcyfVtbLlei#<7IpGj
zb!^s!=v<w!|I*Frw>g7Z(1M~0-}m{O?GjZ>vUL~RZ4P>55;rpz`;Nl~c-IxVn&(iE
z!tA)7VOxdyg+z(geYHG+!8o=pe~7Fs+AK%h@ym01>43@xh6Nwg7ZzrkVarTqz5?r!
zG3Yf>(|f^;CfQnN+V*w~r%^{tfgr5#<EFxhu^Wiq-osyRS3pHTRW-yFcM#dT6CZz3
zGX&K5xACmqze2Sg20Tau!JfElk`!9Q#$sNyI5&f;6AI%Ttp6;`d2bP%HBuor?$O<>
zKOY^XtC}e6xA4icgz1Pu{q@{2p*Ah$!<pA3LX~!XdrCXE<BofE{TNi_SFVSmGR@?U
zI|9v(FLVv;By@~5mRK})YUk>D9^(h#pTAG-SMzhDs*c<wr)p+3KA-8O10ffdnw|VA
zjx_GWci*Zc_C+G4m;ajq5Fpl!Zs2i$?q!MhSA`pWP~Mj|KDWj@RnUdD04sBDqhX_W
zjr~{2)1cY5u%^olpl5{8;*Jd@&R#BI$WEgEzyLcNX(nG|q4|e5Yx7P*oHeONu$hfK
zT&7ycu}GW6{^9M1^Y>L$6QmWy+iwocPX(CV#o=Yx#^?A>z8WGnc5!!zsP#4Zpv?8H
z#OtS$7(wy%f8`i*tI(DO{pCF&@%UNGI*(uD4$nzDHtUjcKoh{TMX$H<h1)CVO0MMl
zmXs`An2+t)_BSt~`^Jo-kLyKB0s^Vo@!(B2@<V>L<KwEP{`*-5FC=iZiF5JK#y(@>
zGu~~GuLidPGuf=86&W>hRo4u-(r#Ffa4Gl*%gj%M3bIUFA*Ul|4@cNBj)zoz=nU46
zIBh&#7;<TA%Tl)C!_K(m$iGYdbXvwiruqIhqjx3Ch8f*${}3CXMHG-LfXhT$n5r%Z
z2f8s+(`)ovFgv`c0ggLK%tdZ0>ZawT&I?txw)o<yr&mZru^|hQ4E81Ugmra711C6h
zDPD`2n(3HR3^&Cy==kkY^AQ2>+%Mw&LU1#8D|f@)hsRHC){BCF?4`fzwGO1NJ`KKj
z3cI)9+E*KAS~6qItI0tNx7_U$t`>4c90Owgi{)^)D3aeg-i*O-{=4+_8-|1ebL&+_
zv_iA-#hY-xznD`TWL?Y4dAL{fDe}WB!(|*h3lvoO-f35(uW}5>C5p%I*GVrFox#y6
ze9h!ke7n9L*f7GPzn-p}yT{6<jr$i@k1$k_bjg}(q5mQc)M6o5VBFL&TYaI_eOPod
z@V)0;Y7wz>C`x;BkYm<>JL~IB+0UqjqwK%K*OXT1Klc8f(7QteUfo%D|973=)tkl{
zo1fJ(+tX|Bw%#C?*`+MY@cIo~hu>_wsH#?>1I`PzN>A1@h$WwoV*V6Gvt7w>CiF!a
zUzd*nvC<?X&}OAX;KGfiaY}Jr@M;mabu%R=i$OLm40!gSc9}8G!3B{JpUv)VTg=sG
zrA8AVH)7eOk#}UP_n@3BFB-8St5%~M)G<nb@>^-pJqPjQFw;nwyT~!$(}Hh4+j9d=
ztqEdUfZ_ofW8Rc~f4G@Ro<DA5lWVXjtExYMwRym}+pgyd=`DAHd1vAl#xA^;;i_P>
zjMBa+MyegRTO6+H2O36YTYT5j_oLm``M}_Q%I!iikS*3UF=N3EpIce7TbVeD=gQ<K
z9!Vxh;7F>>Ce39swe|M7GYrqIvE*ece(HCE_BJQHO$4zvJXte!qVL8t>MxuiNdK_f
zvsuUHft;>MKUiAb_rC8B+$Ik`bS<UW61%PnG)qGN!s2^8y{(vNb9qR`sXUg0vzJW$
zq)USuIqQ`p{5BUio)FK;<b1uEsT5+(t$`l<`GqmG@W>K3;Y(|+V&r)ICF4**2c}B2
zEfFGIvHzB7RP~V(lP~s%RjFT_`!4gpTdNx$uhE9+?pm}8&{BXSajs)wiJQa*`X629
z;aegq2pab6y0OiVMI62a6-pCxi^fPJ9&SWT2F$E7h#dd40Z;uXRhQmU#fkCrrD#nd
z*ZXMwxJR8yX&VtOVvwoL8m{TFvaz}>;Ms+{Amc;(Z%6qHJO;6cU5Q`laZT79#{7>0
zzyFWD_Y7+~>)J;d9d)cYHk3M!1r-4mAyQ*UK|ldPYE%%UCG-$NhzQCc(nM+qs7Qy<
z2@nD*0@9^~7LrJZKoVLKNJw&i_&)!cdES}x@qGB7%WuGyi|oDj+H2kSz1H44Zs~6Y
z3S7AMNF1Vs{)|aepyg?6^f}uuJUN}SR6aF<rKf?6J_6!>FaFi)$kvF_f^~zvK33z@
z^KHoOoOHkP+z1eXfdb9VGnA12bGo(&U4TSc_sztWv`i%ChxA`<+**FQyuziBkm-<A
zVP9ycWA<q4$Hgv^uwIO&G#>xUj$@l^uKX3IGe0z>&S&Zy3T7%msmk#EI7w0tEpVpV
zWn%U_%h!=RL&W+-XTc@f4;;T;VX+?G0K#$F{PRr*#)x&-zUIx?==1J|h8oOu=RBP8
z^?0bymdT;wn<@2})AXIP2LnoL@3aa#@6~R1iD=z+{^cr^s9v}_e#8iuczgISr6=I(
zx+i&AnmoHvu^X!iXHMTPT&xJ*87$AuX4$SLwbCtbec&Y!>aZoDB=d8=b9T}5$t5N|
z-z?=zyIjwnUcgDA`uO(%QsRWXkYhLMcU@wW{HuoM{1KAg+4Aspk+Y=V|M!76``wYM
zpx(2N>eDo+HaX$(%8O2=`HrK1I?S0(O1zN%_b(=|&28bL`@^Zu(&76DRz^*>Y=*0Y
z%_5fD-k7<J#j75tV%@>i^)!F$@+X&>TVCcOg~bBB{h1n}iVa7LWN*rJ1?5YGnGNHZ
zPII-;*D5NB1B%F)ZX1N5k;5n88iTQgWipWSN;i}~-S6TmHLIcS1Fku3A!)XS;tYY)
zA|_GgCNAX2srMlkx<roq(8=&!g!G7dVP1|=Oo3tG;~~+=pDg0r?>@!yHJ|Lmivj1M
z4;5{ls`cvZm$M<=F|W$BXlw5Mx+>#`(sY-d!p<inN?J}Y#gbHuY_PHRXT6z!+ygB|
zI4;J-^pZPa7Vw6+1k!0roV9AU+=Q5*wcjR|(?D=Ck<_a4@@tPjB8AtIaXpBZF2ZmP
z-!Lmvn-ZNz-mnDs5qiZsGMPr@URxaWskf*_z&RCNmUD|dKpAxYG_I1dTzH6ig*0%}
zz)yLc>3fIzHG!b7Yy)>|x4*3uFh#*<ZQlyH5BkYRCZE6Zi)xLbPXW_VddJ)lIj0u4
zQrZukP-)YRid?R%VrA%><Ea4qey><sc&Y+-34aMck7!pmyBT>>VVR=}jMn7YR|EY6
zno>*q=Xov&idePtD(AE8x!C?e{i;jeMVIza-*DsiYaO7uMQX?RZuBm9;C8&kfQaPG
z;X{9Es29ZL5<)<!iZkj(@U>a|Y&*-_GfxE3b`JC$gQ1yfl!5_n<ttv_m{tdPgq>@^
z4!>^USDy3vl5%;kAT)Syc2M~(8JGJV8EFS^?)1-LCaS1}*(8VV0bcyoFp4iT+*R4+
z^ddYs_Fl8gtKrQw7Z~dt*_`^C2GZg5sEJP4hQWb?Q}xqKq}K_X7t^iIo3|-gOmhAt
zxZeU$JAjC<csQLZ^isyj*u3W5k<*wg-5}o+8oOFFs2}j|QO({ViY{)%#}+wLfZRuo
zvhy3v=91~+tpS$uU)se*H?X@4FZ#8G1E>2@0HA{&q)i+7DPN@ESR<yOR`H3RY0^Be
zleFL5cCxNM<00to9}_RmuGWi*q92-A$pCC?<<AwaykRr9wQy^f{YnlX2;U^iWXG&n
z*v{IBFn4v(088ZVu}3#MW9dK!^`HWhw{+~?S@#s(udQAg2P>$f=8k+XB`gZ4_s5^Y
z<_WI&9cxJeE`W?qgwIIh@Apfp?(VmF)vwA6?-yV-f?`K&C-j>J8!lvhYJRE-ckS3`
zPcN33Io_!6Ip(ApWB)e|rlTJSbPkKZ7QX5YaT!@J9>(3ilMt|ZV|ukP64#_P^}ubo
zr15IfVUaBz{2jdmH4Z6hnT%?7K}TufZTMPe@6w6RcW%FUGY3vPWukW#vM%4U+{prp
z`5P~Vy=fZ!nw?(q6xcvng}wF{++DK(XV7j9)D;{G;@zS6FxfAV=4X=nxi^1DmAQO-
z<nxHY@j2do<)n}3^>MBCzmVx}x!@2Gqjz4TJQiacP)#?rfNdxwNaXo%&C3YC>+||h
z463~iAc4Q|cHwwePN8R$>SsTHob)kiItPC>H!%3wc1Y7=D{GX@zGHRiq=s)g=}qZT
z2(CbRHmA3%nFoJsD14fSJBZSIB({(}c6PSdUIbK3CSNriI}(o>@471^1RqY+L|162
z*x~+?J8y%rQkys0HCFg<O^yw%?zz!<WQ4s<s)rfS%@i_7v)40%irSFGN6o*NKYNMI
zt_k<c-R-$uo^5NGDb63&Yn9Qna``f+9#>QHMU%ODy<&Igw2hzcuX$=O@X_uX`^gVx
zWNc7%wYYkJtj$JpdvQqX5o?m~tx04LBb*M)v=*i79fO^j=06F{Y5Eo@5+d7To})U)
z&TK6#++GHf^z(j@-&S@P^ft#e&TQa;*Clq*(A%qM?eK&qKo3Oi5!qzB^w&IG9mp`V
zy7{f^uK0|C?Tc*WZ|kT1M>0c~57Y)wNG_l?dw{8$`)VPV+#n`R<h8Ho2E(h11#UR`
z<%B<Dt=LMdcWc2!%hzuge$Cq3b~9>N*R0&Yn{T&xo9*9E?XWDi3C84Yf>pEg4rz|Y
zm8UA){Ud4eL)dGX_#5ZVU#<&=ryAVj;Pi^$;*AZaZryVUtZE7AJr{!KteD33T^o;n
z<j+cstQ}*JZ7!ZE0>IArr#)*)JN1SS5oh|IvEimVtkB*i%b?B5ecnp|SusH;-{3p@
zDBQv8eIUB6fnKrRw1P0zTTv4q_P`sx8a@Xr#NV}XDN2#B`e<O)cZ&{=m=F4B^ApUz
z^e*8b0w|{C#L0)h^#<xo{Z_j0To|Qt{5epJ_!(PhRUjj7&5d&*&3^oBOEY-a=~%I^
z5MlOLRpX`~MZ+M^_*&N5+BCf{3<{Bt^BtHS&GRPFyXSmr%TKo+ttoyjC5j-RKv#Wv
zn;o}zWu>A@tjlK0PviDSRa^L8`O57m9?&TrEIN6>H}Vtuf?cA<BhkWhm+`00p|-|{
zc6jfsncIJwkdu}w!YF<w<s>dY0bSsYuNZYD!Y6HcVF0aBD{p%MX?JRveFu&E;P>`1
z;(Srz88b>q)x*nf!^<Cc<+WnlW=~D(>!{-wyQQxC4D8x`-B>rb&)?{Eb<C)_b=8NR
z(*=^08iVHqpQggzoo}w#;$N(0fYiVx)nh>CfPW86?dPX`U`3)}6;f!fD`-_TO4>k;
zu4*~rnfHG#aRWl&o8y#>LCLs@h=^71n~v#gezIE&dkP2K-lm+oTD`><C#|k`&)l{i
zP%a?c+LREGqwe!P0^5n1tHyU)QSsD{osb&ll2B3Kh;nKH*92i$^>3&N!J{!&L+YpI
zS`Un}J4Xum_bJeUG5lj+q!;Mtz_L01l?B1zWz$gyb@}7ie7{piM@SI7B+BiBuG=8u
z!6wq%oCrsQb5P;Yi!d~RCUO(n<MBQBDfl&{1@Zk*LZ*;!=2nDg*a%!tU^!)ingcYy
z>({Xd1WjTwO=g9+X|qh4@Jp`RDmlmqJ=qd7*M%jpAs5zG>a0*3v17I5zmRSAWTurw
z-$CZ7E2fXSr$0~4XR?o4B!MJj-QB0C39|<cW{*aJsGdaGV5=%M6QJ#Rhkv?f{ov(g
z0AuVu0n17aQTkTUB6YEbnUr?J0OxA4hw7T+8}-nlXr@eB#VUUwdr-pBsyk!Q_3#{P
zdjXv8?Sv!EBc4VTV`GCa<ykLDCwk2s<0?X`SzinbjmrCt2Sj6)y#;%`^<oPo1rY^L
zG|od5D{7x61&pV$B<n~O1dXh;inXt+jb7>cS@PHXL|q`F-7lLZ3tG0k3sgv0y!!Cs
z9<pkuRt^<CQ$8ijM=L-rO6EgbSxMaH!La48jfzHj?E*U92&1VNIi#7_BLe^OXC_P>
zfmSgZpA<r%>foh47h~u3^tjWxp`DJ($CT^456|I*=DF7bU%lIeRR!8j9^ewQyLVn-
zT(^UED8yJiX7ET3M|P$wAo4;7;|ps{K|jexGUQAwEFe2!1DXS6*!iJr<~KHDMPG85
zk^|78OQFLx%1WV`d#PlJKIu(XBD-FaENTV@^n?M$$hx)0C7_pLru3DnzN14}LB>lE
zQ{j?KX!YF<hLtW6xg#=;b@A0(1$U`Q#?$u#U@}`=nr~vfX6CHVnhB1pgXv|Eg~3+r
zrRE?DpA=*L{wi`k-C8D`i;2ydnpdi2$N^%8auR4tlN%st>9oe_#NQB)&`AR9vFT5H
zRGt8|`N<f0GSK)W95B+{$Nogh4GgfqiwX3)+q5^2+&gO{ARn(50PNNMjLXwcFJ&|}
zx(n4N$XzF#&-zD+C<|YV$Z`-8F5aAoEKnvztYj`+H#)jm)`IlT47$sJfh%t@WCsG>
zjHT-Kf||*Myb?o;?4GOm)KmKCpHJ@%VXK+LO$XU_dFFmDCi1!*Rey|g@CYDZnht&m
zDezRnYv@PiLx(EtdT_u|?*<-abU38<bQboq%~ZQRwdxPsYre<mW_Pw^K&1v_yp9w=
z73Ip2bvX(+oM%g<Kl#@F%Nv`he#==36N?dO;2uN2Iux_Phnaghmd(1%v??D2z&X(;
z7g;juADCMRFkjjAb{!|=J!VK|sO*`;EH>FzBv+ba&>t|d6!fHAD3RAT6S2x9&xq3g
z#Cu}a`+zol6X^xwUSE}-KaN6;jgn)1OE`#^+u{~G6OYy$|FS*lMXO#~l;d!UlKCy*
zxV`ty&824d>M+^<OAn64`s}Ut&pTp*;Kn`+QL(Q$2x^joXA%6n9Lwkq*vqD?XV=fv
z18?P2ZUF6Uqfd5w(2`N57L1V8N7jGb)rL*kd5?H~M)sI{6-Y#%{#;{55|-YX(3<AA
zL{7Bbjn=#CrFm_5_HJ!VFJp>g?k@?u)E6D?W$eUneph>qRPeh&jfumtSiiuwbE7=p
z_9hhs<(MY_!37JT%yn{f=ShxmQ%-pSVzRkvX=)QCd7>4(l;fruI1vZ#SMU1^C5fHc
zbQDAbEl)~qtdqIGc^>v9XW%bady@1;u`8~)!FJR6KiyC4e&YhS){w9>B@6XeABWfz
zkBFN-NyPs=OSb-LiS46*>myD~TH8-BZr0!VS2<6t?UpUt0TEMd_nGk5zdxe_G!+gd
zEL9hd_0*pE>+k=U{v-lx!ed>`eXif>eebe*SVr$5?<ds9-i@YVa%zuceX}26c6~m2
z=lvh&lJWztNDgUm<9&VF^N|0S&i2Q!e^}s$1%6oIhXwxcwZO`Lztxq=hFN?kgoyMD
zSeh4(!C7f&zdN*T|1+s4X-HvVXcJypj)r0j*O(M@G@5UKQuxo511Fn+XRRW*uqc?U
zEUk8p(;jZllC>4ge}(*q<2(^@RwhUIcxBtVRURKNUPxP8elZC{YpnC(6}joz-C|-z
z6AP3jbFfwbf6P3JB^0#h!D(w#r1t-O$=ZvxmC*%Ce_DXBDN4i}k%t7XEJ)Px$6IOW
zwN)5cIQm@@Uwg+p4;*mHM+i8pW8?&*H0{-;EF<Ca9LNaF|0bx{?bKOmEtOyYr)%#P
z*FV~Z5KIbI*933;c!NfD^uXo0;H)$qgtFX)^$&@--#_%SWomsYA1)#G0eJHIgx7i@
z;M*ImZNLQ57uDA#4)@!#&wvA7cUDu@Cw1XO)MeoF*#RBEFJjWKbq@nq1e@wOuK%{H
zB^{XWnNw*h>%VQ8xC2n1gK?ef80|^$;t60(KfdmVF@LzqkB#sns{DwVKQh9P^!ful
z{D4M3aOMvb{evU?AY1@T{IL=Kf3gvtpo`$F&O2Ch>NLus1A_QOiZz`(y4m&U(YdgQ
zpAFBc8iNjw{WM<VC>^YH)Yo~B=E5_~=Z20)uMP$&U1)B5@&R_&!8Y1k_@tB@Xo-n;
z_k5KL?`RpDGGXW79P*HGeU7pV%B3K5!!yvjHgW4&!gtAG(>B=pK1$lA{GDWO+eckj
zHO}p~{VrDQJ5h5IpkDT;YQ8HOCvN+h00PAqQ@`&x?Dm`aOhCPe&YAaI*FfG}95DdU
z$!{hj6YB!W#h_0ZK=-(q`Kk50obls}f0+7*bN$#(KLW^)kohA?{78#G5XcYA^#f)8
zz}4#o(;rOY2Y33x7Jm@)A5z2*@#Tly^#7s2_5|ER2?g<m>X0h_d?T?Og9eT|fQGB_
z712yzxSLQIES2Uq{FZ2|eKU##W`XnFs*L<UPAV@=OPPTUSd6*>s_$57uKW@g1ESgx
zd>nmx;M3^9sgD7I#&TYZW8QYI?C>1=k`IyS#uvz;yuGHDsgo|s<uv;qIbTK}h0e`I
z5ApY^qEmSOOFJ<%DC(_$djYbpvetWHXc1^UQ?{|H4VVv>-&Mo?93(D`3KCB}=+A=X
z%8zVXzxDHjgsmS2_(2$g6o&>@RDW&Ej|xp}2TK^AM~Fs7r-t7q;QMYql6jBgc6ZYs
z`g9_tiYF<JSZV?NVyVA}KaAhiE;Y+{-Q_Nk+*z>Hqd3THxt@}&Q~}mobrQu1Z><)e
z_IoRmfI-Z(&1gluX{5M6<PCVL0A~uB1J%{}qgFqWGPd`}D<5aA(J48DGcALSNmVnT
z!j1r>|Js-3fmRjv*z_$&`^=^8DrPKJK+x!9T+k>ZBJb-?ec&v7v>Dst3xD1{#_5>H
zEsT8RiaLW?BE}L}fEnSY9t;%0>hspm%|6)^f}aB#%Z!{h3<`^T_Vs6O?eWe4Uo-HS
zCvE|eKay?Ls?To3d>TcHAMnqC($-v;ES8+gI9~OAip)Y~4yu@X(Sx06OKYPlvC;J$
zgg<KxY<crY{cJeNoX0>1dIB>k*GSVwvwOn5@XAKEI!Irr=VD9mpn{3xWF`bLWxDrE
z-*pEKT8b>1PLcp#9vkR7L{-x%BWf0vYF45GL><hpksU#F5B|#i7U!NN`b|5(D=b}-
zOt--)vYf!X(qF%tRMBx?nWL@YH!tvi44)UsKL`6g6d9%65COWf*tfd70j=w+St)#3
z4%QdA`s7f|t)m8U+~fCpj7O28&WBR`OvNU~&YpuTJ(w%!y1y|c7lDK=EeUuY`kB^Q
zjWc`k_T_Gs!*V}og_Gi<;*~Q-2CF9Yr>1CW)#p{UK_&<<&fG#;$}N@B^d8EU9;~DM
zF7V)?;jTlErEeT|-FCNU%@xzel$N?xT4r#Xj6_LwWy%v8)u`Rtx1|bci*a_H=4mC|
z-W%*n*79TaQSD50rW^x%kfP~fKQ_6=_{1=h8d9SfwbNVz?kjGVhMbo-+96oJ<8gM)
zHXvvn+|ECfpq6YDdjfWv9jRg@PnZqa45J^l=8nfHX7xa&Uy{*{&=$n(x5`2CaAvj0
ztH2f>;OMph5eevQvP7XGB-N^RxkDL!9+-@>M(w#JVwIQf@h06)pB~RK;@(i-@|fAK
zx97zOrN|;|klSAJ>kpZ)eI4-~zIal2%$8FGLNH^_&A+urUML(4t3UaI!sU%P8p`Oc
zx+-U*1n%soSi4|1;9NZKbM445bsCCK`ruYq-!-!DKo$rpC6&E#n4|C8!=)w5aQBS!
zkUF3hA+7gO1CpKYC$YYWBDpSs2GG3OGuiXr%@eq3&#9`!iLjWqJn+Pgn6e5slK^G9
zC_}1H2xs5Lwh4dsf|Qqua;LX=+N^Bq+{;wWY8O}ZHd}?0AqG*5fw}nMQfkOB2uZe{
zd6cQyw7JfM_mvvfrJbdlibC1bny(;FWzD*ClEPvN)1+^PxuZTaR_<%o6DB6zI6Slu
zm!)N9Gf0z@V@Z=QoWiR_e;Rgp0>9tX^^rpPNEzFx+%BDmF888zB^k0^YPD2-*RUpz
zg>9yFe(YHz8+ACRd%SI~Hxv};Il*bj)1Lws00>USi=`9c+ZDid{36lCkp{x7erH|(
zcHb?@O&_P}->V-#|Bn$&l4ISFNASe^3l9W-b?S=n4D~bIj^N3AR8m8lqHSfh_Xv;S
zAh$R-o-|nMh%=BwPL;#j*T%lw!Y`7>>f8NXU+93^voncJ?29fkiM!l1)mAbVrg$5N
zd2C9s6Ne)uuWM{ZR?;veMAj_~g&X;9hDYw?sGaJcBK7^W5SboqwP)n~8G_RX-?gq`
zsD?ORcy5djj}q5n)3+Z{!M04d4aCe8CuB7q@2ESg4pLFo)TU^4v>CQjY6I9kgJr)~
zFE-afoT5%q&wWezw6NU6+2r$>`tmYZ<2S#tM^d80{t6}LeK4v8vCFm0_Erp3YHnAZ
z2>(}j{=T6@G{q&*6#+S^M~T|}b>~&pv|wFN#p;}+97@VHDxx5H8S<LJ>|XlHedJ?T
zn%LZYW9qnp)GPj{zMw*BaAL_2ac?^9!m6<)${NA@Ov5*I^&!JBu6XsQzS$9vdK!3-
zd=d#hxp?dpMO|&+eHn$WS*O)gP`j4LN)7b#%}q_gVpD6h?h2gE!B}GT>&6$#!<F1p
zVC9IrE1Dg_R&KjElrQ$?{!_ou=D^C8#9Cu<O=UCxrk}Wq<xH9$v7|V+x_UJpnQ3mu
zQvsft-R=bA02z}jd%A3pxx~^wJO6R-mcUcr-w0lTec$8vAC-d)2IZ>RIM`7a2H0dX
zzT~90%klI5at#5DHV3q6zw|jmbVo6<)KcyOQZ$me<c6G~4i$KRWyF_4`F5Xmxe(;O
z4Q5=}-e&3_(~Yfk<suEy;845&#NtqZzkns0Z*J0WFRoy}8lNfkiUs0y6V-oWB8mBS
zrUTd`uW@~$q)2T^s6jB!?Fj*K)6?>;H5g6*9F9C5*{d0C6s5Cdq|CrvSZ@3L1!S1D
z*HcdB6@jQS{QMI`&=U#`dn||2<5p$aYG2T>VQB!1wc6*6=M9+{Oj`@Kv4lMA;DmlZ
z4C1UN1*tBrI4G>^L+Aay`uF5h`2*$wL1~hKX|mcL@V0;+KL=4bf9x9vu@vuL3f<=0
z)0&*ky)OC{@6_+X25zf-9SV}&R3Z*rW`3nsg*`EOV~u78V;C|_oDvmLSyWQ7T<UOV
zK8`GbUg@%mO~|6AU=N8#T+(~kspHy(QP9u%KHb#?Dv6Qd41<1I8K%rhg2%9%W!A8L
z{zi!A>L_3pAVzXhaq@0y*b6mN%Qs*l75+%aO5;LRCJ{b+xJvMLK9(}#?aTm@bv-O_
z>Z|wEd=<0R1REw!(^3Ix1A7FqI=2NxC2+`9dHNDMmbGPmED0yya^5CZp)w75Tf`&L
zmJF49Yr9hJ5MB$P&xrd>eUzVJaW)<JyTWz5^89^%Re#SzYMj~!#<MVnMH$|V_w-xS
zo)KTVZ}FYZfxg%pt0meq0xGmDbAimC4Hv-m3v+N;gVZRA4hW>$Z+(NFS&gX5ff>N-
ze3;W;OsASV?xVct2GT$K>bE8LNpdG0G1C>iDf38e(cEV|*KNGQ=Q*EJkA^Sb7rlY9
zRvQV)eDUR}igxD22-ePLca7a#6|66-uTQ073?>IwF&7``!$hOmV+wd>h=rC2h<kN{
z`a&~*`BhHf!gb{i!;jo}Mw6B6+A$<-M!@xt7DC;mmA`L;Z|KtRC1C}O%3y@IPc7K_
zRvrdJY*`XijZi{~&4aa-z8+)mdo$=~8=By<ZCL>oyPQGj$8`;HQNV){WoMB{PTTPE
zia12GyA7{{8f^eZ_=Fr%P)}|O_4O6+d+V%nhJXq{ixB0c*6zn{MEO;AJ<=#*P91T=
zfWo=%jj=jr<=~np@ji!Idxra=V?kg<Tnr#eAxdmtuJKk?V!c!x9kXcF96?^1ZFNP!
z$XLeqI({c4>%o-b_KY6d;fOOJbQ{JgunHRnWfMIXgp=+S0xRvIM-(k|nGs=?T#?lW
z4eO}O{;#t3wtn=mo8FF|B1Vf{=zK-^Yd$UYDMi@tsx>o_2=6z3ZP7%)GX-lrW1`k7
zV-|ct1%z^74g*fsHN*TWB`We-M^m?@3OJoqs9d3PU+73Ad$ZH*LA**4*A&&lNR16m
z1>6_@aCugK_F41HagvMiC$b(sH?R!p>Ia{?k0L{{+gWri&@vGg)!`j^3*Jc8S(uDt
znL}Ltq0Z3N?(&In628ETT&`PZ$#3O|-txqc;JEUlLaUP`gF5#0dESXmhGv%E?1|+T
zUi;+xZ>#55hO??F1D685(u7_wKpSWV%}7!Hvc$c=*Z(ihBzFxh*C=;W_9<s}^+r7V
z5N=g*K1;ikWDv+ttE;W>4ur0L(yZexU`kDB7)@@$OnSNscB+nxrHpl|Iu7l6zwFz;
zG9PJJ;^bFx=u1HwS}=Y?JCOWyCI9#?ZLdX)+azWK%?&Hij3PzNJU>Y)XhQb<J~3$q
z(O&rU)~oQPA-oB_GK48zUtE*Y9<MapO5RMvY^ww_U$Mf&jh)913~!HltobSc=5|t$
zt-io%93w}Oua@Im{TU11<pP4Lk(w>1N^~dLr%#_9uv}koq|>LPwz$ZDEN-T*ApmLV
z0qelSde{<o|2}iElRK?%mS(%)nOfGBrJNH_^J71kXAttj<DSK(L9A*o-~%4;JW-pO
zGfOaOoqp}}6a<eHEZA7emK=}RI_ze*kpW<44S8;oNjm?yt^Z_iI8uHWfGttHv|5X(
z=}a-a=2s;vD9a3HC@YuyUJDL~yVE|uz0%H^+zU=ktTENagI7tK{Rv9wGQS5SLS?h$
zhA#H}oZXdtB5nC&yQr$-o_1z0o61|nlBA@z^s8L~B5h!WrO|mB1S`r1MGe=$QEv^*
z$vM>58D{W2YBw6S6xzWJEn<M2JeN8LJt!icBCST`g<tb!=rE`WqME(&bvOQ(?;H99
z9uKyyb_Xa$@7(x!T+SFPMdKVr{XAt*Tj%TNLUzTtkl56oQ)%!E8EwzVQ=Y?SH^I26
zl7pHa<1U57*H4Gkrrc<Wh7FW+%~r&fuT|!ew|tst8XgW%-rVpw7c9IaSz|EcrgsKO
zLl<!U9Lpt&%sMg6eHx|$SH>jKK?j}z`{>CJ&yr^})J`;?WZ620x`{qRU=vZ-0d|{$
zCp_}<-1dNsAU9oy_RP)qvHLNOK`<0E3y)3`nncw_|JR&^0cf6Sk1(JJcC-}MSlTR2
z{(MHp9~0OMzD8hIw9kU!6y})js9DrZZ-1xMd<slWk!EdSRa@)5+QMiBR|@+E2WP^T
zU^QB#LrJotp|B}<B#ZXN7K{$}^e-W(ludb~mfbYA;{8jIHMVubk+V=k7?PWlPVV>+
zi~R^B;1z&9#xySghSd9sxt@Fi`Q7CWK&&d18WF`c-}t*Den`uaDV|Fc%!wPb*uJYB
zu+w}7F;m&eE%O}4rnWus8`Vt?ycJ%$>buXobtixCc>CU*a6D5ump-9y4uzzqVh~=w
z4r>K_bu+8^^1E2hyXq-@hi;{p5Hzo}$5ghjxOqKwW1S~=1Wg&r`Ez>pPkum6_P+HE
z_auN<o0;yKz?!+}I$j{Y;r)@&;iH>Hu!E)f+4(vEY!cY`2|y+Z4B#(PCNGi!wmQW4
z$XIhC99CZgpFgzq?|nxr;lqgeX=zg2ak~NuhRzKI1g5E+x{uK^x#^4BIWoGK*c=~2
zo@_BDyu|wpPe5?Yn%Zccha<vHoHFDBSk%+3U_v9DL)iQ0FOtmbst78*hLj4I=vl=U
zsVkN38WTaV6rHlE<u6`Yx+X6Pc`DI+$lgo_hk3E2pcK7ykoCbl3JgBigF@skQN(G9
zshH$cZIdmP`VtaMk!Qy05M#s0`6t#Wa=X*YS_`kwwVL(I(2A&K{P(~2M}6x|DER{9
zZUt0cV$VDf>|EujHFdSaDKrg;Q>ZaZE71rR;EgYj2&0HpMboB(?V-h-U5$d}Zh&;0
zQ`JN`K&z?QTBKFpLh#8z1|)1aq;!jk9_A?pATX#xxj^Rfbg9VuG3)bNdB`CgbunY|
zDg~f$R!_fC1E7v?7D;=RrBl`Y?Q@a5H4G_K_>IS%idTNG*mCkAGwld<rDF+h23uym
zfjam|kUc28IE-!_Nc^<2p5Lnef3=0JU8^|l%)}o{adUw2;TK>-8N={;47WdzORcO3
zSfFPmWGWjOcC^1Fq8@rz6X2s?nNU$s#THq-m+QPjQz{MM$eqns_=ZtBNay!(A_C=g
zhWV|cL#Qkxb0Y>yaILCddOM?0k7Db}ciQH_Pj*sjtx=&yqInE|mVIhQ5mH|5CmJcx
zz}Y~ir8H7ucw=;hCCio>o{QX`*Tbf!;Rbby6Zb|GOPfbTVgGAWKyuLm<!EpCku?T3
zi4TBiq*N!l-dBPpngf)kw6)o~TkVE{+<K6>k?*dxCAe=yf6!cqT|GonE<5ezPR`DO
zU8WULEK$osFw!vUXs4kxRS?AoJ@*auUxlGwK$Gb*RH}ASfr*WD0Pph>kkeoWz8!4_
zMv&CCZ;eP`W35fF3UT>LeU3jBQfdgCn^LWTP*)ThwGh=XC}nhD9pdK5VxDz7JqBS_
ztp&>+^a!;!HzlRJ$^#`R|3`Ma{T{LVCjXEYf<yk^t+%$y>+Cd$fudxY^}4z(eaco=
zxoeYL^TOfU6%Jbt;61WP{^yaTbfo-sxcBA?pUs$9w^?@}$p-BkgUZR}mr{<CC|*2w
zc8j*W_}wUoj>fXRW0A}k20CB7TU(<Hkaln#A8Ny{=w@n;!LS#+5YEoNJYczTN;WI&
z(h<xpXE3(rR}8K{s$CiilUu}Y!86&B?Wh2;sw{8^Q>3|kY=}6^$cGZL)oolwj~PJ?
zR>GGGKDz@-Wmr2!g}1K%uW&19c6b3tFTuQk>>V(hE|-#ok^K(yDOt9t2mBSGjBco}
z_j9Q&vXG)RxUM)8djSw-M(7JUdzCXkSKJKb;+1joUQs%tjAEWHL1QBT3SZvx(SX&(
zKO9y_>j*6K6T(G4>9VPA#$ELA3_xx|8W_<JYG79hwMFWe-6FSA{TE_{5Z{SAiG;*P
z7+Jwd->bzD`H>sEs)+DlWw{XFtS(?c<_A*hTOmjPzTsD97ak9JtICj)BN3G39k^wV
zK*=;JDhdm=;9z_=;WxgYIl{!XoAV&?4*KN6E^01<KT07rKtyB`5E`?RhC9fG5x0C&
z{n^hnLK!<i51`u7R?1egQnxf?@o;gi!9#0}%?TVVZi^?E7`W0}xWgQr>j(q0E>PZA
z*Xye^0m-rs{>UGYSJu{y0KvlAdbQH#k!#r5<?Vluufp8-yDQWyIoAn7_}Igx0Jp;#
zM3SAPfx-4bavBto@79(LwVq*|U`CX4C>15{tg)(z?JOZ30(f;Ku*dClmzEdSg}}#|
z9$V-^!^Iyb)1)GIG3Yx21ikuzx2383Jno!{0UoBjKde_8y?T*VHhg^5ptPFM$YE&<
zx~FeV#leqvbQsk7peA_?eG!jkZZ7=N=F0X%qdX>}Qew9s`|lA;x(=R78D?B7W-pz8
zfq6w+ZfP3p5Gu@Unt4u~o!!nT8TA&>yPs_bfq`hf$_$0cCefMNswD)gruFPa3>s$M
zeq`k+0(22gjg2IuI^V^H*W)@WXBWr2{1Ki$+Kjt~8*2<!G^0&BL#ZpF^(wj$Fxmld
z_t6M$p|Z`|vUuIhM5{O`qk9JL(iGprR@_U7f&_i~uRuA%iyfTw?r-3WyEyG%YLuS6
ztalBdhFJ*eKDdrQ%bysk?qsf%wUuVY4fJqZ9VPeArhAGOLglY_5??)cpS5XeFJg2Q
zuPan)Nd<w+y<rmE6dh~Kg;y0ySqJg{sh?=J+XBjT9N^rQ5BgKpq4JuJI4q_npn{kG
zADr7Xro++9JO~doIckF<g>HvqBEAYVllbZMxY}`zwK~Z))nES07bMFLJHXm1ny;I@
zBG=tex5+OHbL2Vt52Ev_Yb3Nap(4P;+1GP)O$q=7S72-P%!MG|yNk?@ufRC>^=7s=
zlZ*goyx?XYNH4FWsn?>-9lz=8VkoT!FEM6kvwo}eUzo?x4kgh8SS`zKaWe|xQ(#Li
zG#r(q(+wvkRA;i52I-#~Eob~s<0HI5uK8imK4lu>3`AR4tm4b(s&RFRA6|s4D~!Kg
zUhg~pr62Tq$jW5cJ`-fzL70eBIJs&AsVrF;S+!zeu^27kSQxN+X@Ttfnjx5qWB9BI
zrt^W*U_kcb8^WaH$TGt^wdkg<w+xC#o0~YvZL?2k+T0FVzcDM4wh?-zlO*Wu6fF;p
zKBEanV)tp|e{$g;MdiKzz)4FZbb~(-sG3vU1xW5rcXG_Q5Rc!oyU_JLagXie|Mmpq
z>7+?p@}^d}*{pl%E^Tv(btiHc3RJv$nrJA&eD6w+ylsB^KsvDpW&&t0R;*iwR<F4!
zvIqcC0g@L$YA%-su3pr9fq6I#ke)btoDq@t3D9>2$nwXh9H^@kQ8-0NN}Xuw{E?cH
zA-PFvO{ssnL>K2-SNq!!L_06CyKieEW2_m5T++=F2UjA{KD9DNP^CUNPRIKZs%PYr
zRqDl&zsKJvbsKzcSURQ~Bq9Tag668Ey<i=7cUy6xEIJTyINYS`@as<I^bVGE9{f0r
zCA&fxQ=U`TE}0sC3#jSniGg_zU6&Gkl4CG6o;i-UEgC+gG2cl;Ab8VoaDW$Yak+e=
zwN8k4Q9xb!$f%gIrC0aqJCMItiS#thF@_yPQ4!v!YNr=@9In5Q%zr~YTm$m&2Q?!3
zkgAwpmDRTFMt8^=eA%wBXZ;25C%>%snV+~Vbz9A1{BrE!zOxhmsXH;Y85WPxM=8fE
ztp}xpb%x?=Ry(AoIy<;&VE$vw!q8gdPXr%X-YlBH8Cm1UnrG5gTVt_>L>`whIj-?e
zhNWm_IEIJlaMl3T2$iLqrmbpRXl6K@(1bKz0c5fi!&aH386XmlwoT-~MeHUZ$FGN4
znbh*pgSG#~ir!qE-R^dke6<?Xb7Lm{X1C&l$H<qi$qoh<^DUE#pE0z1ooQ4nE8wO2
zb>0Rns2`svE^OKY3z!`Sq;AO2;AtbO4p3`RsW}oc?JNF%n$rpZDldO~fB?d3bSwpr
z$paTH>xQ|>^t3BZO^YL56o4xvr(!g~BB5^h6q*}qWY!nY?Au$;?!OV{rR_(sg`DMX
zgPi$$d;aar*Ug+=)hNHxUB3Mi70^>uKLd7;W}XjFTzY4fhjZO}tEV+k1gWd?<S%O0
zt#yqLw*h|myq3$5!3HrX8_A8KzL7f_*-OK^p;Jue4u&SmzH=slWB4*~bzte_k^v^Z
z=klb+2Bz%5pv*c<3e9RXTJw9jxClt>RARNakjcBeEg7VP3VdY8_YisD1w-kuAm!(O
zR~1i~mxiie!=EHm&dm-zf6IvVz2gN-@*+B|(g9(xv%^qM(3R8WrJDvMP~9wAU$d*W
z6T!<Bcm`l>`YXt=t`cxmV%GKAwH9}t6DkGjSZPygZ8NA|D{_%fl}n;aBjKZS!%0hc
zDgh`%GV3)ggzKa-6vQl`xYoI0&lQr4c<EC-Bu<$VwZH#YP9wO-tG;HwVfWwVy#{Ap
zIN5^2@#i1iNu)vq_K$po9rX4nC?tTJ0M<Z0ngnFUAQp;Xn;77IqJ5mn>>Y6}MI!EV
zSAw#l&`VV&x||eg0S_#bi|&;f0z~b`${BXM!j|g}kwhMI2H2Ml?TgRiNDbdhpT0{>
zI;`U5C}(k)oxxLe(Py`sA??1fr<p@*@m@hl{j7eFTdeOs<$##KqsNOuLpQjkq}M)u
z3y&uNz)3IOdQk#K;jaQ!O@OxwSb;0(C__0U&rdtWDr(fX`zat3Qi5j&h5?F!l#ev!
z5QU!G5P3}iARF@X=`oz76SvS-IDl7lbQsnx<;elc$2?!eYX|IS)~Dm7GOYH3VKAfi
z)ACr*T>QxBa`-UPT_xfuSMFF%3Bue9V-YHn7Zc+Do}Hd-pg^#N{ii|l15|{&g5o-{
z_Mk6T^-~cj``pqzm7=lf`>~z7Sh7-331!&qj=+hPkH89_S`U?x9Um%+r+ndC^7`?s
zFqI6=N<cOHV#+1R)h^UWQ327<Ln!QI<x`v;U6D<EwJV>a;^hn32XyhV4KodlmTBJ2
zrKg;tZ^t_sn|j(0*Wh^|l|n7weXMxohN|!AL<r$9`FRCi6bZo~|0N$y@nnj_hY3cm
zj#w|wi#tbrpGq}kk6td`sg&&X!ubW`;P3~v3tKBcFEcj`WN*afTC^J8wm^SCwf0_B
zy6Jl4{3c%H!Xe4--m81&h@<dYh<4|C-7q@Tl(v2t=gSqZ!pzWNZsAKfnV;;2_3_?;
zdrUcL!G3x-H3E}Mq|hu;ZwhkDh|di=RE;mIw|iYnkI$?&YqUn#Xi)l(!Yyqjr&x;*
za!wn;dO}4lAECod@3GA<+~TC;jf4@6M7>|3L+|gW{eI92xsvd#`WM7c6=J0S!3w}I
z#1^CJ>j!znETU7@GCPBI$`98pF4y<G4xPDlG)-M$>it=e@}mj)d9?=bfP(IY#JK6r
zW3^QYvGq)(c_X27S<ONjYd<n)xnwWND!IXxYPNR;oAsI5bl<UyzNK-q12LFn7ID#W
z=2e=arnyfIIq*UDEN?Dii|`U`<<f6LL&@!8(W<$S?+23B$1{GIwB9KtR`RWWr0DI1
zw4mATjgOs9$!SWxDBM)JoMmP+<KcdSIeM+I#-w;rL+|csmZg@++4(EGbs`LkgoGC?
zy{6jYVoz^+dQBly&)W&Aui&oVAxEa!mKPShnyRtvvc3;;k%`|B<3NynJN(;0z~)&<
zOko71c4>U-km#4y4>5^G(25jqw6~$sJ6o|YlK*C|-C<o?<~Kc$+=Te=;1ydG*Sdca
zJxCjw&&AX|P1#k-8$R5R&D#r_Ln+30nAAw(FP<+RvO1DS%pg?~q~jMO?T$GrgeOOS
z4e5XIpvO}&$2EatdmK;Feprv?D2!2h^zFix9mi{%wxYjLm@O`^SmuX9b^1~ciQNy*
z4*Y&VYu#FZdQqfl>mx_NEcpCurSb)J#pf>eb#{2SHq<nif9TzhI6q#Ed^DQto)^~H
zNqS)x@%RY*@mt*E-|?HfN(fZTAzQC+t`pSwBb%E)yLeipDkLm8U$eW@^Oo-NaO@(P
zRIH%Vnw~m;WYM;(GA*LShTk@xe*GT9{pd{q641jZ!tf{hH;MV={L8?$Nr+#G(@LN$
zEHc|?)K7vBf9gPUd_DY~#_0p)jlxK}?D~*?Dbq1eincmo>8tMAP;j?_K|&^rOAJgL
zB7|HjdwkE!Ve!Z{#n3$D=g7AmwMm$9RY(ouUBC`u<l12v`&O0!SKULno`u#LWwScO
zHB}VqHa&#=zb%}-OkD6;SnezHUB;^?tf=wo2f0Sd5yL4}9uKA;vQ?W>8?RV)-QX*h
zMz-V+mOLxL=yhUGKnn(Gmd)oN>4xWGG*5SC$j5rUNZy5=_Dvzsd|W1ZbKTRW_;9VD
z3E)1YM|hX=`qXIShbg&|W`>jCgAvHMUlLO;rjE*FfqAX(^i{;{Bk2Fb`PUZ_af7{n
zwC>62Zx6Dqr<32`Ee;BC9BEkjHYxx-LEis;w-?F#AkI3;Wx_(SN^zee-zry+93}TS
z@38pl6PrE<byfX-=qYCn&$VQ4Xk{LpGuhTXzl1lsoRg>;?Y;1``ktk0W5N%)p;6pN
zZttANCO+gUun#-Ir@5D{QkPn)ic-jnlihmhGv)j4sms^AkOZ85&%ZkT%c`_G)H&k$
zVeT9J+q&{<-BY(Zoh`y}w&&@L2_$Bh1l}ypyLZmH$oZ&U&^=u2EseL<3X<i!)Evyu
znE8b7+$fXKsAN>|(*KkAy(jv#X9*M6_b%4o|CBB*-e6;WW@Otj+DS?r|8i+Z+eipT
zoNA!lg(@5ZX>;z{UP8pzMbgpkVqf<DGhE!)=PlhS3fK%i!`$ACnBa#w{-Ja2nYokZ
zLr<+Dy52-$?Txmqn!uxzcQg(v6z=|m5caIUC%6M?ejFJI56_Uf>yK2Id!Hw90&Cy>
z%Y@`dQ-9_?4;K<Ov);cCW>H^n-KE!c$|jv{j3pK>4Eb@FyAzd{pVTFEUpplBTiQSU
z{z-w}O&jnnWRKOh(qxlD&y?dedC&~yvw2RBVjW}k^P`H*p(ZH-g)+sgRZK%t#t23Q
zl*}hbvM(%efK}Ym_ul#H<`rh?t~Mk&kApX7xa8TZ7shpxj^W1#vAZ-(@nyuxm2w_4
zOyLTSuw6OR?@dZ>vrpGU@_SZ#-9E94vc`h%r#9E!>o@V7+Vz8JR*BtDF9?1ijEyq>
zFfm%~n;bu`6=0|YhB(3VUnWmXMO(qAM~e8=xUf7<ZR0DiILn#e6za-LaIK#32}(r8
ztH`m20@Y_b_j@L~Bw$n|{x}|Cue4jw1*bX0g0tI)Qx>9rjt%5xdLaCiL_0iJ-G{Qa
zp}tB11_J+!ffQdh5%jLu9ozFrcP(V`c5VGA<zj&1uaWaFYz|cEpj5q(wRNcZhXzsE
zF^~0Jc3a$5u-y61K>1!XcB5lnxRnbBZ#H}F2<Dy3Xa=E1z4X!<b8oDUS6-FN+~W9R
z5oqytQjo%yrqcrxsJC&RHU}no8}kdid4=_?^h61<#iW03zk%HDjkk}{cQ&Ge4(_})
zc-lrS0yMJqxYM)K>Y+Za$ESL{p57Dz`zm6v_IVl^NE(~FJ_TD|K9V?o%I0lN{@CZB
zQqr|{U6amk!`AVT4KW;BC1(xq8mpQ!y{czKW6RxV5EeRk^F!>s@zV2+f&^HBcf#Gd
z#rcG(y7BwJ)gHK;rAq{20RZ&=&mFE$wBGa9kKnqxv3yhvGu|m7Qj|2mY@z6&`S#!A
z=YAw)=_5ySqtyGn*wgtrB?kK2eH01O72SQgixs&Wx<0ph`moI;Cx;BQHYhn2mWc*D
zeddPdy0bwm(RJ+Ef#1=(zwd@We+8w&lJHN=csG{LBuv)jEY!xlH##|Yx5G$u4Y<1d
zVyel%I8&;0)NzyxBiWo1GyY0`ZMt^Wuz#Fn*Wd9v1?&)gOY>Q<WoXVD>bsvSk(kK%
zG8r<>GG~8;rpzSlXe^GJ>o}sU{_(eiF4Y-8M5hkUs_55Wsyf}@YG*-ZsPBPadtA|~
zbL&&5hN41qet6oU(VOQL<Q$0U6HzTXRSE~aY9(%lc5CXV1EF;M>^~z_QTfUJCF6Y(
z{%59ZfxJf#lO5q-&%1uY5fxY99fG?*>g6e3M%oQ5m(Q!4N4hMkwdfP<nwr_gj0Kl^
zCSj>CbHi3SmzC2AwCAHr8Ex^z93yB$n;k^Q2{bu=$?Z4huA^GNR#k8X$<`BgSw_1J
z3r7q>qXEB)|EFKwzUD`g3R@8KR%}1&7d2Y;#n|x1l|^eC$6U%;WK0OSC7tv>p))%p
z*n97?j=D<XeB~AKP-}Rh;j%R0)B#nQZjIBfAxfAGg(RmZ3a=BqdtaB|WjPno=e#{}
zo*SwPCE6xr?q>0maWCOO8YB8C)WOb-Sc)LP&hIn&r!!?gbu6FbP{wlN8$Kpt67o+K
z#0`3Y#RE3xcX=FT`pYED+NOIbk8A}?E)Una*Og{k4fO|HRghGDmDJIkG3Ff+LVcj5
zWA62)fKJ#fg}C=y{Or+KL#0VodPDGj8=svU-B9_n=MaS#hh=W^j9EfM8$~g(Y{P#U
z$Yn$QSX+dx+ak8@^?{Mh&ArbD2COyIL6Z++o%>JuHY@lYi2`!f0&}eYJqr{0b;!#0
zg~HIbpDm;LHo*n?1=a5hs&AJ#AGJ(z*{ukCC*wnY>@AYEanrX6@{+(rICAlmTm=6}
zU618`-p4(ukK4-oZm6>n!fdN^Ko|1AM1b4Z&Rn`;n@Zl(<>!3MZQD+?2{GBCsC8Rl
ztSt~3-z;@ZgfaJOcT*={U_X7l925DKbn`$wBiUE=p1xI{o@VZjr!oEW&Oh7Mw<fD>
zpHS_WncAXEK?d-fTW9VM>(aC*jZZyWC4`D5#=2ArC3ZFTOX`K5;T{nC&GBCl-QD@N
z^Qa9l4O^U);mXFdEC5}UwjQzB+wbE4nW(5ckYb(J0X_T2fdiCRp^ZRD)F(%|99=Tp
zg2CzkVO9{FS^aF6*IoSAv%LuTh@<38$=p5R4yPQPXS94r+4BT#{f)FTqd$agVq)so
z{%vh!9~0=2jYKWOiKgZ&o|=U7{%&jZBx+{xROIa3@re6fH#0YMmBq$SB(r@@oR9_{
z<Sq)^)em<u&%69p#BWp6*X#`N-Xnoi*j3>(2@`K9Y$$w5r}JY-s8N3$S;qwD{;3_>
zznOpiVJ#OtFL$*YxM5)1KR5E5$oH5x*d#mV#ZMsO`EKsF>s}%Yul|$Tm}vcdy;gov
zkAfecbkR2RuW*2)o()F>ch8S$9>a7%HTuRX-RqV(pNs%{bvXbEyL^Z;yHkEGAOw2U
zFqGa6?VMAS_7Wz~FGMF~wYgy5S^Na^-|NIP&Y1@^Nzagf*~iZ`m!~@dM5`Y==(2Z|
zB?m*S!_CSTovHu`4IrUP!2s7l*Bb~Yub0{qv>Hk%i|N{<RU^2ds<gD4ly5VNP0p@P
zi~_B;1ew=)&{$iIJD`HYD%yMC=<{W9E<Um20TREyAef56e-ir;YFhXG=-7Jt{&FRE
z{St@qs{5By74v?^235v7B;QnfYPJhRYX&(LjwPz3xNouRc${mh#`sxoY~)bhaFF^;
zpwL$sgq|N-Atgg+_>))4221Yu4H{@Pm-IYP+HHVLj*183h^E!G$XG|Gx<{d^`)86*
zX}Cyj*5FNTIbf^(OJhxbk_sy?Uq}N|Q13h5_iG>42Lyl%6d>6C)|qj)i08*vVBKgF
ze-$c?oHn*pC{0^@W=`y?1ixOcwZEy57wQvg!5!PJ@0XSE9O=kU-rNya(f{?7O_yHQ
zL^lAauAdO$KAH_%-tG2%39`*B^=?+*gX;S&j{NvNxsUs;v8~(v!pM|d+%NgnenE<>
zWgjb*P0(A!#0Fme(?U<4>Sot?gI-xbyou91Dvq0&S{V<j(AwbOQ+pWkM}dkYxB80s
z7Mr>hxf)Y1%3Fzu%`rQ>Gu|q;13j`;@5lT+T-xE0+o%yqSwxLy`{-L+$S#IlH3+sw
zt@!-fT12dTYrqYq)g4_2W!~yDe;zfQK>Y+5;a{Ll^tl|hyWOozCce=X*1P1_J|-sY
zU&Ub$*k%Zlf<0*Ci(e)d6h0M{UW+gbzDiJXxte$V4FY%loJ6^_60{IN4G(v>`G0K5
z1B?OW(ClV2vZ9R?OV)$x6Ds@smF>`~`X!g3iOvs`<C%?<-Fxh8+gh*fW&YAQwn1zh
z^v^x?fuK~{*F+U_LEVA^`71<$6g?Q5%Q!Yg&>GR*7zOj$VO!!&TF|f#e%v#tI9_q_
zyi>>`03k{$oGm{nB(4<M5YsOox%WlJ%8>#%|GGbGrR@;8D4v^yzw=NI_i)-fdE;gL
z=28S<4TbU?uAxsDJ?nnz1h}rzKau*Pbd=sq0J$<Y{%d2(uYG%xc9Ph@HtgEf=0RKT
z{t~wUeOp+ZJriwq{=gp-HTx1W@lO#D7atF#&x7DNymg<(z*U=%S33?jbuO0=r_7)#
z&$m!xI02ck*QURZm4ABhdkg=vy!E0<Ud}HUil0w)<%(tim-YGQK%VrsJs)^&bxhqy
z_W-kvi>I-2r!@*B27a?4ge6SSkGA4A&kFlmP>xZ~*Nz}tj86bV1mMet;+jmWYK<<H
z(VE$v+M~*e^z74hItWcQa)RtzqlU+?TDN;TElrhuNI<K3=Jhf%J&MnMq>Fy~N$jHH
zzYJpRSvAOkZ^%`RgPXSI;OrkB!U3_x;w`h7!rot_qS6_#y7idMT>~(ln#@2gdTK~=
zm&6jxe-3?pr^+>3DUBf&c1LgQQHF%~iCQy~0{nh_=zL2(LfzX5Xj}eg*1g!_l>s)*
z9DRPT_7K2ITg;Bh?>w#*6f&jiQrbq4jy<Afic*$BEs%SDouUBb6G*40y33<A{p0CO
z&wDSdTy~|z_1GF7v7GU?>AL4-Lr<QQ^`xML4rgm#q&5RFe8WHePrWnYy3WBc#5<3|
z?!kM%-t*aHXM0(Fgcwu)F{DWf5rAYiO$v9p^v_^7V6$5_6<vNF3PBhxb!~LJi?oWI
zFT;O;j;q#eZZ_>R8$9EVgK>Z-m}kVWowG*@ji}EYzTWKZ-XQj5+dl)s_=VJWi=X48
zLrL9V`y>okESl`Z)9j>f@}_HsD#LHMM9ppgTqC}AgjkB=)J|#}r~#MspUz3PPQO(4
z+FM%LNz>u}vuera{8(4ZuIipk3Wz93`d*(cSoj(&_3A4CP{ir%NPwFHhQ1yCk9_e&
zTEZ|tuBl|TqU<y%F`A|ON=IW@?J(CZ^A7B3<40xc>5i2qoZ+%5_r~Vt_c1RegZk*s
zM<vIY&<m!+fv#v5RehfbPyQpo*H1FC_wXcP9m9!e)%`d8R-~T2T9(=9ku15?eV>OI
zxa8@`0IuD*==;x5^u?zcetq~<tgq8sB@DjRVa~Xds<f+$Sw^d~=fAD^`d~Z<cd6{_
zwAne9laBSUEs;RYmAJ=$)b-iLkNuR?hoG<BpDN<xG|#tQA-jL-%zM6yJo!LL@tcAF
zMi2brgHK!GXC`-u^ci(~0Oju3Ki9r0@>s5CkpkD&chlao{VM9CJGHA-Xf$tv;65@g
z(rhL<?x{7FQdU>ayJ%(b_HlRCHXn;E4olqjP-p+od9nSOYxU<Z8Ttpi0!`);i@t?>
z4Kq$8;-5IMm<DN^+K^X6&52i!PPPuPfY&MJoBzcHD&5<fr{*`?oe$l4bnX9P>pP>G
z+PY}Dc2qz?ML|HNDfLn#T~X;pL<k+EccdnviZqoDLg)xcZ_)(<C`b)OdQC78LMNe1
ze>>jqy+6J&{H2bZv(IXC%{A9K>PCIX4~JQIQl-X>vfL9Iqq}q;lt@0S`C4Ubte>q`
zPI^`E`MuzJF&;i%yR?721DGatBel&}jYYVMbkuRFVx-H{M%B8wh@bgFqe}1N0uFuu
z_4fy#NB%_p_tC{7MCH_e&l{;=l2)&KChv+&2*0(-4G6B4Y{6h&=T#p4P9tQAORTm5
z|2pfTS7sNbQr$ZNx}ix|8PDd(C;8^_R6FhhE4(`4uh|wamDVAwEaN%qpV%lmdVW@x
zQJ>J<csw@@>T$WkUjXh=&VBbH7pvLImmir`x_rWHxVo$`<ul{Yr`RK_!uJ-xYcb>w
z_;yg9Yz-*v>cHG1KhuW`_gS2+6@TA5%xf#=O`39cDZCzj_|E9xO+hT(=n9gv1o(}#
zSN(mzgs-95bxSAj!KDTN?pD8vuTxeBzL-i{a$ms@m*WA-+OVm1^KckAP`hO>o92Sf
z!sf^Iqv<fiqfe#mP~B|=y-QDHA6Kq8i5rY)H=tkjOLPO)$g1XxeGLi}zriP(n8obq
z=gll(h?cD#ObOb#yYno?8{WT<4X*t)K7Nivm&W|Y=tjB0&PRR)HeDabW~MN)&Z|2`
z%kIs$RK9kI0Wx#6t(3Wm<NAj=y@SWv@yd2CRn+Ll>aLlQ0z)com*?CAw3t)<pJRER
zsmibTgo6}KFqXOS!&`E|La~Iq3mb%j-dSUF`dGjt*9=@wKkD!Jcb}n(+Pk9f!WfQ@
ztIha~l=-aHfZ`Rp<QK4>+n+Fx8(64XUrTaST>kW`MDAZ3HrDiX{Rsesw2QA6>qYOF
z6TSmhExr;eIwb}>`rZR5cO`o3<HoK$12sef*S#G}JOq5srQ`p@osT?7AU&ORnVoyo
zyqOf&v$14&Z2vDV(~9Fz=(x;o7HU_=o@&l@MO8248Nbf9N36Cmpc1(piw6`cd0qW6
z-SW$T{MDW8Z}YGA5AubX^D*pJAl=JGz2zU`RNeh|Vs_`OHq=`OjP&{n_gTQJ<L}J=
z9eG8uf^bO8R(~euW;l%18G3)wm&vu~w|q(XU~QdVe_nL=*|)8CCOT4`K5xwIES<LE
zuA-iB*R{&6s>A<Q3n^PMaDU>r{7trr^Y9&KwS8rYK?tKxHo{piZ5c;{_{?ZZm8n@)
znx5Nzs5^Y}9Qfj`+`k~I3B~|L>B>e3JzS$|J&Z-O0xxD>c3uc{F>KIc{lh2yR6`$3
zM65U!4}Fjeu<jqXVJE7E)IQ=VT@Xir?!{-6$!X!Lx|7WwZ}HikY*Pakb^GxS!#%*F
zX_jL~1sJ&HW42mIKXu;+N0Uxbe2f45_f4cWQ##!tr22{Z_~h(vsq=bj7ZzSE_I#X{
zu0Q3m^=SEOs`<Tk8-2^~1y@z@@YdG4OHT{|s|PZ5`RICx4s@O(++y4(X#jN7Gt_M<
z(O<cfOmI$9^uUv&pHE%?P`Yhv$yxuAM$X6|W}{6FW=i(#e<2MM^z0%h5y(J9e2oW`
z)kDQvgk`cbxFY2doaRZD91V7^?q+I6v=S$_OKkzm<Z{?^ouM-?mPfC@;JVG1dUA(T
zmGj(u){R}?-})Zx;<MQ7&7q+0n*nPQ%1-GUxY|ln2yRa68?XdP_b+$&7LSw;iifra
z(;Zt+u_z66X=_gxq^yMg@b-ULm~w=9()S*n@o!;#wrZpluKo0-qwN}r9bx8yOO~M3
zOwSMi=$Pmr_F_V>svfH(zjkqsp<nOLfF5QeqM*&cqK4krbH^hZIo<V2!0xk(vCMn2
zu;iEWUv2f9V*bUsv#26!B=h?phLsp+17>TqpaFd?n3M5b@+j-C<I^5kW}ipFmv19H
za~D0l5MJ4jALd<E5r3akCtjbQw`Z-Wzr7|WZi$o}k|+Y;;CeXT#MN&SI4bvH0(Fa_
zdn|pfR4iTELV-GEYMcqZs|$DmU*ns<@<Rtp<#M^;*Ldo@Y^g+>-;BHKdC1$890v9?
zyiyOB>ilrNxvL?10p@`IsT?dfAGt7Bzg*1jFbu{ZRhb&xNmQ9Z?v|qQsfCWeYmauk
z$zj4?-Ka3o-eQr4-!MTU*SMM~i7Y!20G_;&$^OeNH)tJ(x|_AF3N$K0<M%lhtTD>7
zqY;KkH`+c|UQhp=nzP$EAR9_qMUqY#6<c%kEd_35a!fAjM=;Vjf<|hN0(t$?pzxk?
z<F^83MW@B9qE5RF!QI4RdNAGmmisqlsBcu@GLpY#lmoNID%rUM`~X<Pk#1FaV{}>@
zD?`81;N(jdLW33HyR|o?km{rC?U$Yn=Iir9Sf-M^1g;xd)H-ylvQFUj5|s5HwWsG$
z?PVtl5(mOQfNxQ~QPKE|qXZX}71b(Kj`-ozH_b!Mvjw59jPrQ8xWd6p<x$M=9e^%C
zO|Cf=W*|z;@jeOeF{-S3b|nx4=4He$77feoU^=WqH@)dy!Sp3%BeAE20Y3d>=M^0X
zlsD(j&>-h}yYbRApL7qbw@<Wz*C+pt0mnArcO4$$sD7Y?(6jSv#+B|Pi_fx*KF!sg
z%~a%OXtMkAu~LgzQd90?SfN%PWkvON96+w-=c7LdCo{fI879K?s2^m1-;$<6>|LHV
zF^%SIS~<hg(i>Kfmnfr=Nkh)J7Mx^&Yl|}dg+D%tPt5$zQZKWq?tjSp9xxv(DxB)F
z2s8Wzhw7Eju?};C_{3^q1w;4E5d5>WM(>{zld%2V8x7WYRyPFN0u%_xQtY62!fpO5
zXqb5S*;9xSy$Oxs*Yi`~WKSw;djItT`dHm<nQP$kDEYq-2>uj1URB+zrBJve`+>t0
zUAPxwyKrDXL9O3n6?qyTFCs_X*;y*|(M`td01sFi)tX6~YUm;xqq4iMa|x!hv?}T6
zIByYeMUZ46eK(jar7t?{uj5qJNq3VIm#K>C?kUdE?ZY$pz~%AR{yKdW>u>9c-6cev
zZ%0Ozb6vh;XJMry1eLU-NqG|H_t`76-Lp*ly_-mkE`I`;!hTGXs0P48k%PCPigcrA
zSZW|{eQggp*d;OWzK#;6!*?TIem7>6rVX{cw+gOk!uoe=x&1vr?=5sOCuh*}ceKe=
zds&Q;@qOHURYP<_J0sj}w{umff$Ev6Xe~`ei|G}I>5K8?@ahSvqNWqeyL!LDgpZgf
z4Lg|uJYxmKm4|`A`)N+M?&?MkrQg4D0cO}tv6!Vx#rx?1>Qi8|{)%UpfBHNS4@zja
z&&^6}=PhT)deHH?oIpnk#blN38d^eOy_hB)tVVIH3fcGcwombn0%<{Q&D=X9VOu7S
z@TX{aXN4C74P`?QNT(ZtEbF85>@9c29>-6M#~55J_0(;#O5b?3uzquoO#u#anoGpr
zIgLqasq5@qe@%%=^Y!=j_XN^84}Z4>B!lrfRrBNGmdvZgXFZZ|Yqno*)M&33lzuvk
z+Hf-rmAhZMbc0{rz!)yT{OOiJ%OpQ1#{aWHBKneh-0mFjrzeV~l6c4(2ll`OoIQ&5
zuj=whO>uZ&fOg{1+jFJ;U;W(H9owH<E!Nr=TMvD(Of@%at!)Es{2D0oit(quXI{4#
z-n^~?hJN9v9e|9X?|AQHLr!S?QMqEHodBO*Z?~;KW--<;ixNWYR1q?cKkS;XxMw<i
zLjFz+iTQ6|lYpP#uPB@NWSp<D^ooRqif5!i2{+zxq?%7mx_vDwc7X<HEq_@!%Z*rK
z%tt-vso53Tm0oau#$2WoAAbad@TJ%}r)cI0P#o_tE~3-5awwV@&!A<p5AT30;{Wa~
zzEGn=%R?;kdreGvm9@(Cvd;_lsN2Niho0=Ih_8#@gQDwBQT9bG_X4^Gus9Yae4(&#
zFjfcV?WEBZLB*HUfj*;i4!9}(vr_=SMyWR!Vy&AUQ1Yb@igr(Wexv=$jy8<7n(F?c
zctiE<IG}XjisFs8N#kyGK+ce6wefL}3zAowcvQc))}%YAW^~Xu)Zl0A1t(4y<L`>?
zr5)Y_cdq|tN&gAO7d52}JK?qPAKqah^8g4-#B2qcscpQxKg^am+7b-KT$7jy?*{Wj
z$!#;&3~N)>1e?$LcjAc-`8<v?IagKmLV~W71{Uk4Axu}D#MgK(N2OmpTssme`?$}x
zkO|&J8zsL$-=^(DI5@Ga-6iH2ABXN8pUCZwjHxkDJd#T|ezU}K`3_5&+lr9+(ze#V
zPY>)wHMMWE)^A=#WBsH`nh@EjVyfy>^V3_sagGM9Dbsw~VDpoA<2v?$-<r{zlNwae
zv7wjK45!{~KWAWY{Z1xa(bwxMXUk-0v)miM2ZFw$)6Vy_GbiGv`CJ{-6PergrNHxw
zTbgqh7@ng2tCKQ8tJm3l(cR`3$Yvv<RVV`_%5uMclO{@9nXG}`_{Uh|KJvO{b!W~>
z?mu{rk1RPy5AF}koWnodkVy<bFjn0Uby{Hj=Ua~E@nb=|qq(Le-#wUF!71oo<hdgP
z&B^=<-!fN=+83-B=OsevBWS@&<A&<pLo2|Qib@RE1XKJ%v(K?1wTK%5ZWNC9dA+Ez
z-R-G=VAd99!LUTuX%mdP_4<oI>(TYK@Vn=yVltmD7ZqR#@{+B%Inl0G%5Rd+x7+x`
z@X3Crv){i2_R<?FKSwV&NZ9;$fYpK9yE}*?8PD!B^=1uoQcu?&sTGWwj30-4V&eHt
zC!g0C*op2pNVlpY;}%>?aPlu_%P_C?N568JFP<M1<GuA5E3V1Ety@wrsvS9)B7zCc
z>3%Tpd7~Jk&P%M_`Qg2qFTh%tUZmT%Y@pFO$C)GZ{8;xz=?+3>J45-BT-@!Kt#h?5
zC3eSB7Pp+88@IB==c#=^ghryjvJeEb*`6HFg!4)A9bLmiC3e63-ukrmv(InRYq4o{
z?NG+U@Nl|md0(dXwA4voBl-ja#Dg0r&u)L+m{xK;Y;te%c75f^zgH8<qwI)qFgKi-
z7a1JRpKOLw%j|RgHhps&>ZJv|B<fay6V*T8JV|WGvtQjZ9i!g=@CM{B%qB;j{SeF{
zfX1lGZTJ@3L`b5jk!6inFY`ET=RWVR?5a9Z54-Zi*E68@Zw=_&QA7J9yt@x1LuNL%
zjN&&3atGx0$+8iON4|Ht11a>+MFq((-5EJO{;g^Dyua2c5^+@T8i3O45##qW{&+;V
zXM}Q>KIu_(96j9ms3YOPx(@RO9349CXw$}{2$d0kvd1P7e;iF1Z526zZ{*&PraO9Y
zQhMo@ywTLj@}ZY^znHO`G^^yTnTYPAtI*%;ZO*~W7G0(!+`bf*hWgvccexquhrQ{Z
zq(tds@k{<81qpsfkJcZOBIHZ0AiXV6q4b6C=*7!PJ_6h9X?-XwLaTAIuk?|8PMWIo
zY+o)1lp`0KlLNKnNbhlz`MtQ+SA2dV!cjtZV>>ZmQax_%q3(W-CVRbJ#5K{E3uh~|
zD+k`5{caxB)i-5}lA0z`%9s{%R6{vRp_n4>RQ_w5xuy9pjYmOM0#8Wk`chppC1g_5
zJ)7ARishlMB|<K{T?3O;a`u<iMxD)EoRrgd_S%L~i8h|I?0!ad-O4k$gJFyjQFQHa
zqt0aK=k+kLJqqKw;=PNB(2apli0g%>0AxxwPr?B4zw@)*seh1_(GOAOI(&P*b$u<E
z10_cP`*_WFJ6U;sW3_(Vks<BG5#E7jB@}U@#(NPb(N%%FsaJOByoJA|9(+teww5ld
zyHEGILcE&mGwwQ_qr+YfLZ!znm2fWgU;=kr@}S#+kc#y+BqxeL$8yB`1?u2ECI5Gp
z@+f3>Ltidunkv?rss>9e_-cQ`;(kz*&c)%8!Z&FI&2-nfyj^{&J{ppfHQV+yt7>_x
zYTa?e@9VdMd8l6XuNg*N@07&yqWuLQ@U%d7C$KK7>zO2j5t3TDiVxFnj9m>jkwtx1
zl#xx--+Dk%xN~@1b-L;{7FPWsZcVS_dn&c7zmCy}HUf8?ef}8t+U3E=&##=}!>S_<
z`1qh&7w`r2{q6OdS^1CE-CG!_jiS@OH(A-;asIJ5m+6D2O)doLm~7dBTVV&HTTGAl
z(DTVM`^BzeI4v3M5xjX>DND9lIWLZ6$%*fAyv2{m%1ysb^mW#9(xY<PdJtD8h?TjB
z5TX=8C0;}rhHY+V<@y7TV*aRtr7tK2QelB|EtOt#wS%)XbcBWU<u-l`X+<q7!sF~=
zE*38uHx1&`4h4l;u<OdPKEs&s`XuU;RrB#t&QMqi-?($#O0rN+CV?x!n)`~X1d|-L
zpk&Ly{oq$?e`|f08ojaJ{lWh}R9DV3Y~IEgcEH?}A}%v#vn*+Gg%?Fx0fbPk0f14s
zR&^Up+a%|Q6}G-Ml<t8(N3SHA^mGh)^9j%7TycV~mz8IThgUqe^Y2q*`CGOG&dn<4
z`-_&_5(`}b;YAsb?KWC}MtgL6n`>MRe<c<5YSAmQ%V&6VWXeBqxAds`_r|IwJN`%k
zN#KFl9<MF}x!1LEo<&Sdc#>uu>XxF5j2>13xhROW=R_?>dTO*34v~B{s_U_QJzQ<|
zO3eq3NW!g|{^dm)ygrgZNoWwnsu$poJ~9{?)g7oQ61#@FD{Qh+P&I#J6?N(KeMCu9
z#z`}v$e1`o5vS)@-PupFN`BV|KbaN<#Ag1ZFDoC5^g=AuV~d?Xt?qcs?6nId6pU##
zDucWTU=#A~dM+x<B}(fTS8?RrXLpD4;*iJ@s<Iclbp-SFx!SwVeVcxKmuuHVFIW0Z
zTMsK(%5u}TVYWwRc5H7f>W%Tx#;OUfF6TKiTQj>&>mEBqH{J2m^tQMPe%xeGLrSmb
zYHbRM@S<Z`NgaOj)I-*2W;{7)rN*vT4@s~(d1-UasqKTuNuGvlK^Uxp9d+x$ta}iP
z(~cmvTV<9?a_r3#rl&to3?{eEHE%A7Pen-YwXP;<+BjKu!DZ-A#=SxVig)X&4X+;0
zcg8SrD#KEESZj>ac|?V^L5i~OyE$GdSRwb>%i3yR&(rE)s=wV__j=s<^!`R++)bv(
z&GXUyt#T=ls;p%ARX&0S;bXQ_{#i};?;T*=OF>cn<>jE++}%EXn*>IqZQAb%kc2G|
z=_Slhh#t>&f|;qhkL*v%TJPv}3{*bifhgoSogMVAh&#|PM5O88NvfpYw|_R;i8dQ0
z7^_B)QvN{U0@ItAjDt4bfeww_Fi?2k7|t3dyG{iy7U{>ZVabc@aoJvrSA)wmyn#HS
zBytqto@EhwVoAP|_-D<@g%+sVk0j~j1YhaS_H8w(<XanI?rPYFBeTEN>lc?b-JbJ@
zdoC*h))dAo4@-NH6;6ataDRjv6xB-)N}PCdu!Yo0SDVSz%z_bNEsNT3#0ulP`X@z%
zx5R?8bR{&Q91AmS8OO3@`%#E0EHS=W@olD4$gc5@RWgz)0iV6!P)2?PrR}gVA5fN^
zU9mTo#I3n4!_9|6+kg_yOP|YT@|L*!sBFZFL*5m~s;$10!<pUIs;~sU$39A(uRYC+
z_F2epp`wruU8=QR>zE6KKxMHhD)5Ti#CteHzm9qY9d<her2rpAl1ggA=qa6!*-*=r
zh*5@z{Hi41Ui&vhmFcN(`RNml4w97(CHQ5{^SZB`#{JUxxNW8N?vJ^7Tv~m@sVgjt
zu#q3$`_4iz>N#h+agJeHJS#LLkiV+1?cB%D97#bhfI{sH(qSP(gBje;H|-k;D|24M
z+Z)gBte%T~z1jK-KCC<vZcZhJuN(AjDntc%7>-=Hk!sHUg%JjsP!hM@qPnqD^@LkY
zVeMmTA-PBF81#C)gK7SGzUArfftUVqoaEmnWP4U7vHr~4<8L^|9K8=us)#2I*r0UP
z;T5<3*xNFTz|)IMMOOvV-zCb^VZH5!4%dXSDHjkz$s|iQycRz$Rf7PAO1ozfsqYu9
z=(g?(l?h7yLQQ*@E<ZXbD^<TS7=zWU4B3pBh;d?!^qz$0JrZ6#JHf8bnYbei6~62i
zR<{;n>RY#<R5$m567h=x<7$RUm?OZub{P5)S<d!VWN)|EMOi}_c4OI1;aWz&qo3W;
zy%FPnN0+<g@ObM#Dxj&fW|6JAdD(SWm<2QK@)D>mP=-RaS#(`McL&J$8)<z}^lZvq
zZzS`Os2pyTsN#=gEWP;0M)r4W0^kZ1$x%!Fwh@n-55_G}h!m1zf7I?`j>FL5dLVsx
z5-2qmcS|o)^2=g-UbKO_>O^1^X-crXUau+CmqP|7@tg=Men`2b^p3ap%q;=2WACL#
z*jF=r!RkO_Qz{oI6ZZOsi#wXaB$1)X4@rfUR^8rxs@x2_!sCIBZ4#GYX-z(vD`}mZ
z2;DD*mmjk#UrO8DNR=9fl7}V~U!32fo<rikZLpSf1WaC%89zv(dh48vDT=e#JKy86
zTg{9aG|;$zo97xD5lWElcU#g%r|zY9h%neKt`HE8VC2@G@>p~LBJwDZ=6uGi?3m3W
zvA5CT-Jf+j6S@~58!}x$oD85V19#QC;AB6L>rsGf@y#B^1R@VjJZQ0DA*f}LDB19s
zr<6{?U2qm3-;U5gm@9|?8pLQi$yc{SV%<Jwc(scLF`?YPF(7EfutJN!qY8&|j6Gra
z9U+~L`qyLisgs#MMqwGD9`9oa-LHwY0F%<f#<#c4G0Cb7o%UCFK|0)LIoUd_$<6qj
ztp3ZQXLrOhJsZ-a=@a)SFEIwjFPDUW-;Q4HNlRS5j#Rt(RQ#VnzB}x!sT3}2V{7{t
zM?%I`;*kvf`#zf)!T!~c=b1#01CAfo(tUDx<y~|yp}}{c$I9=^O_;;4(wO;yT~*IL
zDAl-FN%ye_`C&($EtoH;Jx$3^i@gnEA4Ed2#wI}(uF+QL(R{FY*GY{NCH63!p0ZTZ
z7xt_Ko1MRgzLiGm<x^j`N9rY}86>9Zq?tIA;9Ml8bWc%%DnYdf<HS`7@U9*VmApp^
zp1pxxLhZ)M{9-w=Putgwe{@{+tVb616*~;hDFwxAz=w~-*QnU1i^o(w$uk1r|F68q
z)?$%^GM7C7A8Er@Ay>I{woqG`SW<f5QASQX3~vH}*98tBZL%pv{p*HUYrU-O($Muh
zQbtF3KmnpK*-F~drhM(Q7;gGvTFC7z-5)}RLX>6L^-qr11UVjL@0iHIKnNY7B8_C3
zuPj7s#0GL*G|9K5^SWM}vY$8N#o~ZugW!`8(tsrF?fH7M%TncnQXt^>Q?N0ynpF+4
zkoj|J7~An_?al4{^3}?MniVHbnq&Th@8F~iPm^~pW4;e6xH%>Pj9HwR)=FwIc^f{h
zS~w5pQWS5dKC6se$X1=cP}VKXu)A@qUQ#A|^P#m^vBVYF2HhzE;=9eYpp24%2&M4n
zU|qx0zvOb0otWN~UaJyJ6-85_Ej%G^=Vj#-b4h&I&w^~qj>iS^g<|*G>9Dsc5i;4q
z$Pkq9)n29EgO#4<5o$z@DHVUD1!Voc(QfG;II|=kNU(s5<1jy?cIoJ_ykZ}A(Yfo#
z&NTDtqSAZbrY=FEu8p(Iwujkve)>JrYH{|Z+!+ojcFM<4!|^o&tKRulto;?da|7Ye
zTy}3%==)9n_SZm4|9q-__cB6R%9l~Gu=%;?+JiWHZ+e02bXoVvt37ur47}gBlI9Zm
zY0Z=cN8+9(hA^5Q#f~mn(J4PEF<v^D-2F4!NW~Py*#kjV?j8vn|3r8!&YGK$8Z&(7
z=Bf{wgY#Uk4=p)88vn<QDTvR>7)Jpv1Ht(up0+?$YHUt&D!@0TaYrptqx7jysDOtX
zTtGyV91S{>s{)b8b>DkN-O9e^_6YBd@$QALp*Nep2c)VGg{K@a-gTgwc^eSF8}?|`
zGxCBVXoJbHqG-4Ymt7(1;gr~kOHxn;U(!5Bga21a#c+`s*Ry77zELbR>n0Epop5!n
zSu|r~{htU<l#SQ1pDDh*a&AVg+<tZ!v7tO_Q^-6*GrqkMzTE5G)KHpuzMi48yO98G
z%&pDLoBNl0G&?oXJtjY|f8yVt0{FUvmDPKD;~fQ>$JJP`SxK_3DPFvc)OP)WWJm3d
z<n3uuN6Y|FQWgk%H7IH;*PJXvNwnmheb!v4bgR^slGs%_(23X@zbUY8@9k}2?`C0Z
zj@W2~6`B23YSqFy<tkODe%2sD-AtVlGqBoY&oxYP=NJLqL0{C$B+oxZ^xiiWO(C79
zbNk+ghP-vblq?5)x81re-2zGAI-vUTU)Y+fu+{z`b{LnKh4Pi_nPt~YBi7`ak3edZ
z>BE%oir78NdMsGx*v-*k%|n)PNh^(b0gX6g?MJtlBGi@P4~YY#@5T0Ddt(LaYa`7Z
zJK|a=t>k)m2a=ywLb$+&@>|>{uBkf>r7-dPdVK)dIDXyIhJjyhov?Br+xlx3<uH^|
z6$sM|K_%B|Y~nZbw>+_BbIvXjjZdw9Q}c)SAD}e@8p}fIq}m;ah?U6zq+&eE%?}<-
zwA6mdc>D80&dc{9`9-rj?Z2{vpft^tGM7B2^JnkSu;TAb?q;z!oMeWl#yR>H5y+Gd
zg&^xqSFTV2i->a)3a&a%3;o53$vcfVj7kdW!}a>@uXMMrwgd5N)z)1rJ~1d_?YI?C
z=Kfkc<@P;0j$gPrJ1X;)UmO|VCjXX8EGWo8#d)A>f#TnMi0jeosNb+G6t(Sr(VV;<
z1=8<?#h>&<@XaDP1G3v9DM2TV!8q}kJV!hyd<DH}45a>Y7Bu0WHN$aTYVkLhc&9~~
zxxO$~WmW+Y!Z!H5I&1#C1ig_;5N#zK?;a+)mZeo!2}>7@f|l&~!0zyqZ^K+ADsF9K
z@g~rQBgVkQV?nkU`-=Apk9cR!_3(N|2lmyt`ehqB%j)=wYaci!Tj_jgJm-zoa*aYt
zW~^Iol=~|0|CXdi3^{c(sd%1t8!DASeUSUp5R#n9b%qs*h7b37$SA;1io$kla>wn4
zP}y|Ym0*;5#f=S1aa@nlE#f}NMRXgMqBzW(C`b)0c8cZ?029LZ=rtd_w?MhvKnbdn
z?xI-Hvu1r9@@cAJIZKGeM4owedAaoP&l3;T4N|@uxi=`X>Qs-$(HalOujKLWRj>an
z+5eFGw(QXt>t}^>g3R`%;wP7Q_kS@Zk2AC}zTayubQ7SP5hLoc|A||3xu|pHfb?a0
zUk|#KQ7fl0@nts;I{nXyP0?LcR5>x#whbm6+>nMxGz@GED?om>9mq1M)++!xVPNii
z7vNUFuiMdS!=K#1T{`z0w$qW^sP>7>QGpMx-v!OaZP0A+&%MmDOk;K03xp&$Bt?_%
z;d(;kdTOIcjr1D?+2(o#8t%%Ai&OT|ZLaq)PZYHx<gZ<zK_JIl=JNZmi|xflehGnE
zIi;=GO=4b~%R4+!_X0jW`9PN{TzF}i%<T)kiyzoY0&I3IR5Ln(^GcS`uaAUo|F4X^
zN#xKH<feronj;;%cXatj227Cg%SrD+QyCM%0M6FY;`G_2!Mbv{YRc$$=XJz2b5_rQ
zqF<2h7mZPeKU*~o>)>YFD7yw-9eHc!e+rL7$;tguFBx8u6Y-yxA-)TK0uD;^G~M(X
z(NYaQY%`R?O6lYYz!U`2GEbK*j$`st<Mx=7#SGoYuE)J>t{3i=5Q=3rLucXf>vQ?*
z>`A90oAhz$i(Z_L(kn9Vg$-ZUJE|vQR^79WS@`$rN?x++!G>8z(gbV+T~f^j6>?%C
zk}d_zvoxe-G6q=plE21A`p3f8QGq#4St9)m?S}oOq?#Ph3{pp2%BDEsUb}8Xv7f+U
z9#{*@P^*8e5I*Rh0KztOvd~?&R{L`RY;VYrVWoE$Oybx+>byLvA$RO=c-6P9Mda}=
z&B;&1oO;<%cHv3W(w&yo%D(kHAt>EK&^~r7hxS@!gn{CNu8M-$v7wg2XO6n%di-mr
zE+aHr4s0w?=^r-<dL0L8FFzk3<n~gt*E{1nqvtx8T~Al}s7{NFH5TxW%hf}Wv_Q0-
zfqU(b>9{CYbguu!fVPh>Y2Xk&{!*$m6hd+N$M|dPSMHB)gZ&LCe<7w{%edsk!*?&B
znfCrM5=tSD$ambsU3K5(937u;Ag`~1(xq#@f$Py)bjA$P=sY0gst)CJi+N8!Z_5;)
znZpV;=!D<Crx^o0LxZ&>X42d0)vxhM&S*AcrM>2L_F+Fe@QV~<8{{H%h8EkW3O6QL
zG$$VkVvCbVmbn^2wAh{)5@GZHA5bMD3|fUGUvtEVoBBz0>tCDJM#h_iFHSVn?%av=
zY;x9VawuPs)XV{DijZgA4Co0iP;(66B2Q}Wo4I5t?f-<7ADU_KJDj_T_c>*@HWZB4
zTS3z+{6Tdlv99Y{J*Ds2%f&CY?iK0Zm>sa7N%lpLJd@mEhpIPJ2#<+ekW0lpU3O*4
z0pmo_Jy<v-7Blo$YnFrU5!?M*_YU{nR>oQbWRvp4$7g2}(!s!of`U;E*cWyO*Q3*{
zoYte=d@xg!ONNJzndDX>nq(=2JKBnZRDkXP)E}p2i7H8{GRf?r&4F{h%Ga8N2<Zzx
z!jH1BZLHqUiGD+IK0Zso)au8dJ54^gJ+=66xwijEx$7{<$RK^5pIO^_Yml_Wafs7$
z5?=FbSi&(~V71?jO^L_0MX_l3lmQVD1*!F|0Drnup?7$AX=sPu{f>xDlhIpg4SQck
z2efjp&%LiRf2=j+?dGR^-63)2OF4X0XUN=c!HLQFnD+f%$MTsMvu=ohYmHMEOHI#`
zAt;4zCb=VaL4`q&;JX1)5PAj?kcwb)synjSB6bwxl?}(FKo~j@C6-PiY~9Ch1=3rf
zmj84KzK@#^g6=wTVdp4`9bF5gjgAFc0a28&=)Qf}6w79$N|DMmT=I1}(f-v@G*eZ!
z<mwTKRAS!0Lo8fhlHDU*!p%qCjeyhy)DoU8G;rc~zc!Q`{&umB^SWhkQCe$zp-)_o
zI=IO<ytA0=5!|<32fRhscI23Mdbf1=N6Jk`3$6n3O<ifN%k(%`c?8!L^fvWG$R1d_
zDIRm5_G8L54hbc_glxZcL0`l20G(DZz2SELG54P&CH)628po3e`W*-Ru-)81l)f|$
zlWBocuQ6>-#>w?CCXpPiJL<K%;G@ap{{`|@00*>@4R`c53OTY`o}Q$WGYDVgEyOb!
zGR(?%_^|IV8E2gLnmgAUQZpLoSjanW1TD|1{`_2gt9bUg|Ir<XUp#u-Z}*-<G20=d
zm<(NuCCB@VTEUxL60v!cz#eaS*-~CtlvZ{w-xg25x3(F~yxn_feUK3!zbuY-t^-=%
z6+7wXoHd5M1Wbc!$nwEth~(~qedtrY&*WW{xlBXf6xH@m`1@k-OS{R*{gG%Mb1{LM
z4Rwoq_Gr~+L>9{n?C5=qh-5?I&sW5fEKy;wBT8cYgIPfLgp!S$%#G_Yy+ypqDsx+(
z8Of_!f>9T$6P6?Xmhb3<Fz-TlhwRRvcj!PzcdKTYi4C?zU6_H*j1H4Ho26F1>Xty`
zp0<+OxW3XO8|VN(M^~irY9`g<?f{wI9y@i4((nFSXi;63z$n<(fiO=MEr{oX0cL+e
zEDuA5H>{zys94Vl(jO2LUTx}F37AeQeykZ&niN>+X#48cahArzhVoyZ_0Le7e|qYL
zH|b6}!|s&fn*M+>id?cUN0BUf$R_|;zb6s2b-{qO;^RaSgHXE4@ZpPO^#8oMew#rg
zQi>(FClT2mXKIv&kKkADUozDGCQ&Wf6}+jY#-kd^gPvF6iR`~Po!yC>%fDm>l-}DD
zLTwIJt&_`2u%UQwAJY@S>{Vsff^~p1dWD%4$-P^m(`iKG<5fz#iIj<yr`6;<qAzC}
z&EtOV#{OzeFT)uj!?W+Ti(ASIzXLIGG5vzVB~f<}rS=ZDtr=Y~l<bGmH&2}P(v@#K
z!)YN5pC+fXHS|AB#iJQBK9_!yb*_D&wA4<vEQM&wfBX$F8o6_)QiV4(@#V#kHlV!~
zfspwwkf842j)nqZ2!ph?WQGn2B}qm`-COJn(b=5>mgWd=xQ%@vay^I38=*-2At)ud
zl>YVMh^9~0I-vJKxEhbfIh1mb8`U@E)fPPeQl{u?3B&@E=#`q@2!84_bZ$t&cc;i!
zeV)$UA<mq8gH1ZZ{h3EY&GYwd)B1H^?+Nq)6T=98;_ih(MIOR2{dW?7Kg9sd6wsml
znA)>Gcm27UUwhOty*7NgYoU~UCW<dOP)@XR53jn2;d<htAb^4m(m=5Uqwts-P$VOH
z*iqw`5kgWQc3H*vy^!7NvzVWPSgK-N54@vr;6C>9O8}a(2)i!iK95Y<Su;3Mv!i1B
zDn_#RSQCl#zv#T$<K;V7qx`l))|n@-A4JsoOsdB_6=nx`UQ)XS+Ux!B1_Rc_s!UzZ
z@ed4KNscu%;!fx3n2o$>@!{uneJ(l>x@}+FBday3ISdXzmCtsmYx?N^G4vxg4*q|2
zD2tQTP!^hQx?;RiH{VIbF-)3-A$#g{<SqK%Z6b60H$A-)M>I+*l7(ZOVGY~g#+9@S
zl}9B(4A6%I83?g^x9Rt)4cFNAGgIGTKWFk|dDEBa`7KG}dD{Wf=wz*TJrH&&ex2ai
ze87I!=>{#fQt*Go#XTHG7z}-s;B$MZm0o-oKF`T}NCwd-G$9J_^qAY)i9I-;#UC@}
zqCJM<5075%rNu9$Ha`x3>h*A$O&RQ{we!n#H>E_h9ii?ASF@-L#KpW|V$E#`L(P6j
z3j{Y3WrLy;<i~`6nVB*Pqxz=$8$rAp-$&aBRv~iyU4eKadb@j?J$B^P0OcG|Q`9eU
zZ@tyx9QRNX9+MiJ{PzoK5Da1NDNau)1(!H<ylBtgC(F`7Vbgutr{#K{7OTRJvK|Tp
z;~QEm;y*G5oXLQai0{f#f*;YLVk^33#6da=`yJA0hjpc?p)#77)@vyCIH`_hpIo-q
zDjj+Cz&`K(7e)~>a_hMaFdTm*tTro>Rlry{4m+T9Yl2k+OHI|!#i$M+E|w(o-#Rio
zV73!0CI#OvD^01LtAwn1ZF%m8WP}1KVdp71)<j)bS~IZh4!E{r>tV63KWgl;13gFn
z!z};`%=={v-<YXCQQTernq0+~v3z^qmh#Vf34mPkWRQ3VcLa#0dAao%yGmXbGSzH&
zJU^&9nJ1=9=_DtMU5T8*ybFXK-7VFlbczThrz#l%d=I=i`MnKF4Dta+7X*5p4RfQN
zS+`*R;-&4uDA*W8Hhm*DgieNcs<6rHm9aj1A0nTwbvi|0JrByy0N#$moy09}cfdRa
z2g*-}4_#+bk^^yGB7-vwf9~x~_q!k7XO4_+>6(18kW+BPtn7=dQJ<`B$Ps#Jj-O9x
zD7LR$<j_m!PS~x!J?^@5LAUPaQ${f$ORi>7!@^&?&aD~<f3Fv>sHGJKdrsCYF^{Ht
zMnt7|_Lol9$VR0|SKfB}4<NJNbpqZhc%DII{z-Fkt01-~nRJXGS5$gBa@$Ttjc^sm
zJ-bD;<e5DxH|hbzYttP(lcMS@lQBb_gy=zgM++{SQV)x+gG3gEQCBn@ZIIgc>Z^Qs
zgTm#jhvOVM)qdtdHH}|c7yY~tFZ(^`YO#2yDbcP`=!8y}zmqC)?-91Di(w@cu#1n*
z1=1aZ<=amp)qECMzFPNS7OeM}-Et8-I)*&`e&G2XHNO%KR!H4E#O>ey3~l>RQny?I
znaT(;FQzr^fBi3E?%8*5s+Ribr?VSjlpAsdCtZIIY^*{y_NTC2I$CV20ay;&pme%{
zhBxuxj>@BUDQU4Nb@((5C_x1vHA((yW;yRVVL4Es)tObkrtT#V<p{P3C20668$Dl~
zRO!97P80d%A$$npdDP!0;uG$NR5>|%y1t_~3o5X2>V536TP0ZVRYNYHojClGx2Q1K
z#|!jYrBJE<Gs%AKIa{XG<fh*IGGh~?8a%78asEUHRq^j@f_9enXXUF5vlj^ss`9%v
z+7+#oc9QqVxZCgMic1LdIkR4csq5ihr+GT5N<9$?$@?FYAStBHj)V*%t&-M7GK8YA
z7bmlgrznZWo_k)sfQNeCmRu#*qYL06v@Lm@JVR+yodqp>GV5J(Io4@AI7?ajVGus(
z7d5;Y5xFO?<7X)y3;Q^QD<fX1HDtbJ7?aLql=M($#L&HE9rpcD%W%DVV&<fD=i5mo
z<8I~4<J{+sgRe#uEB9V0%4>m{GoVxYzar%t6o;C?4L!0X`PXKZcx@jQpL-uM2wvk7
zU_Czf<$4XvASGU*7Nn(1gn^w|GUPVuiP=O1C&y#U&#{8I4UCPP%8vCOtc&=02*I%v
ztKv_{JT!&9=>H{DK|yg91^@Cc5Hd+gEDa@h03{MQpEv)jze@196l9Gl^LivTFM52f
zW8<MyzvL3~Ky>gM(%p%0mmfCjQ|g|#Ok!VOo@Jl3qj8kb-XDH{8oWtk%!C(^G_=cD
zdx#d84vM)39LmdWp9Ndt6nXchBrT-k7gMcM2*q2z1L!*TgU+KzQ@7N<YM%C(TZudR
z2o$2dO(_6B95ezUdJkC7xyplAQ`8sHb&rw&(y$`A9pUi~F`$?KX9!C^)FWR_^7sP~
zFg#d`no>WQU)OzXQ83E(M?J_pP^>vW?r1;|o1z8><K7xNY+pF6Mj?x^1qb%zP=XKJ
z4xxGjk<&Pb#3qWpaW8BJ!Ha%3RjLj+rr(zWBNzEW6A@u;5RSsG&BZxj88X1x_#uwn
zj;p%kbDUt;2;X<Kxvc#xaHon@0~X8Q;GXRN*<#s0vmDaRf!)y4Yh?T7>i)zzvi$Oe
z@)-R_$qQ{M8DG(io^B2+p3YuXa)RW&$0HYAAT#$YR1@saH0-pz5(X6ck85tPl)o_E
z{;z6MT+dG{B!l1dD3UmUeZvfY$|U3ol29B)^1Zon5BIFO-uW((o)hJ5z`we*!pO9(
zetDmBKW(bCVccL0?l!qT14xERTjfS^=TD>+u!qo3>Bgx|9%C`vt`HM+nX|o6&h+15
zZdsHyw8V2Znm@L>QmcYL<XhhaPg*pQR4~A-%Qq3%uUoSbf9XVz-k63IxVtyWd3sYu
zug<p9CG+{`?b=|WoFiT>uyDL|cK^Cy{3^2~*v*FQ&UO*is(oLtyPx&q_f{vf7!(^x
z<Vh_c36TSI*c4!iAUbTEA0AGI0{mzrh(&Y#F`x>`vrBux90rkxdEn@81EDqql<>V>
z#7-m)UpUPkXC2Ft!MNth?qHh(r!tvi(AM9OQD<y&5-;Dp+=GCLTc2-@+3Dh@gG%A#
zuhx|=XQwhQik3=TgO#=BLYd*5#3RptPtgErLE$GV@n%XtHo~P+&(i|p%c2as=jcj)
zH7zK;q2Hsf^A+1R%Tl{Pddbq!2_1b@9LE5FPLVlp+2AW6_TG_N*p?%7bouk%HLzc9
zLmQ=^@8YZS(<PskA}${^FA)aR2(3t%g$*SUEvW{tvF<o<8;oB+e$^Z*h`mjXVDZ!F
zAPawFv3=ACh)r{HPZUtGY=+Mmsv|8eo)W)A2BV(X-6j5h=L8_{#vy6=39=VpcbRa{
zNTjcO=GRAG$P0z9>s~IKP+foK+S;mlq`oHUcfeLzm%xSDem3hnk~fZq8sn*(O0R7K
zXZ=Q?Rj7MQIg*}uV{`wM06%fE`=mAUi+B7~x|ayXt=>mHHXOM?OI}7`5~&n(ZFpu?
z6Sdv)eWzeEAT`ohE&A*eb1fsz`z=iOI<trNzlZ-BN>V)9HV}b%KW<Kj-6cAOroU`E
znA8-u#fFhtLCd>1jNn~<GN=bFX>xQRWEQyX|C>ZAb}Tc_QSwK6hBTP5N;9lb?{Rjl
z-meF#^ed62e)X1Pt?Mhl$@Nvv4>e_LJrcIc?hzlF+gQ(fRP;Iyd;t88J<7-N2Lf6$
ztm>I1P%CA2|3M#Nw&nLr<Le;Nf1`)bv#hffj;Vfq(I7E}SHgq0lLf5CiNEK)e8$e-
z8tg?)V5|of<ibrdE0~kGmz-*->WHAmTB{(KXigk&`dLU1Ko0p?5URoye|nb-cgc|#
zA&B)>BhMQh8vyx9t`I4z@M&&x!6?-3IN+ot1_z^(g>gMSf<{`jMxYOmJB7V_vOpU6
z5#^VXct@S;K<=E6S!LQNB&|+J^sDg10bb3)7+n+bWHJ)zqov>2P~vv*e#S{Z^7yFx
zakZ=6uwpgf8!iRNe7zTm&%|i$f_=sEqfi@9;B3h++1iqYV*RF54~=)eabfsw>U{N?
zNwU5YR%AM=<k)0aFy^`wRg!jtWV^8O&4r-7i3v(iZ}6ebaBo!Ge@p2Xr3L0Yj!D-z
zZ)8!54QRbJ+&7{e`ZLX>xPv!@k|$1Nd4+*8eDjlr>j<caQ+WuXAe25U=w7l2Dx9cV
zBTzpBcj=yx=diA?8Jw8eQNFfAkR%4QMCTLifiJ@%HNWa*e$}q^HCll#E^p4@L%Jtu
zy7{&eZ6jo38PZQnzq+^@4$gccspXhgbA5~kFrwj4Yg`=++x>h8P7cF`>Xt5*mYd$b
zM!qw!wfi;QM;Cov^`}qVc=kHL@IdK@pFTPj9lx+vQnThDrKEj|yabmZ@-}<M)R4HM
zs{UK!dD_q~@XEO-mJ@RUjUPjN>3DFL8X@g>7YRq{dwT^ZGk>DDKvN1zt}>tvi`gVM
zqdqj;H?Z#j6Z{0^VSR2K<{mjW0aZn+j~E!Nv(g%2)At%!pD4HFn_@LuzreztQ&aQz
zhh!ahN|fNLGtlhxYEFf`dy(Qxg><d^`%l1&mh7MM7tcJfEf=|5*~1eVywLkE7rA3{
zIcryuqNJz!j~yGq?0jnU*U<10i=fJUo%ln|HEO9k$$rBT=P=)l&?_no8K}>*Umu(7
zvS;;b7!6r3-b8I}&7EQCPxg$4nHl^!%5U>O6Y}sRp&J{G7?M3yF$!QfOrDs07aXEW
zRjPN_X^kC4lYWjFzj~i+VMK?-fhkw6EOr}W+iTx^VALV8cc>{e-5rcFj^Fd$xsQ!(
zZOjkc)ePU~bnL}Q4^C^0y@t#4rViAvJ{{kgwE((K@ZQ)@MxU4%z!b1DYpDxf13`WJ
z;Ot#=aE}E$f00e{JKQs<H1am0XD6_wl7>zHM~>xhQ)U)W-{k_KKK7n(!ApREcD(;#
zxbfVLE>I#^-j%(o$Bzdh4a#=<PP|e2KqvHPgVR$K3iBI$Rcvk1!q6R*ng8n3Y~v>L
z9!xUn^(Gu5_4v;MCuq_v{@0}S#F4rzP+Z|NAX4i$z?az8!PLT>OdnB#Nt|PRAj}TA
zZpntrmP+w4V{KeNz?SvC$9AQ)IrSzSd#(Oss_(Eqt<HFfk*iV6=eaT@5KWm;gD}ZB
zaW_aCU<}`EForHga00IU$3j9AXe!zdol&0e4lfvvWa7Z|<l8<e$>7FDjGsA%XURQe
z3|6wxR9h4bxw+ZfkmRsJ92+#qa8I}#qi84d+hI0C>O{uNYG&j|?aqk|sdxtAXSEzX
z>?%1tc=0|ZrAeG&VW-Mi<y*t29dADr+h0_?^U66t)10PKOYuz_l$ULhh2)hspN0^m
z41E`+@~g3=ul0J2qC&Gu{9gC2mvJF?yllO2r@rg#%+HDpV=UsARO+FD?xt%4WBA@4
z<(bD<{`~QHG}2Ju`KTp1HW;G(tml>xDlu$*O|#|TWl#(~RVfdG=I4E*Y@BK=${OBJ
zDwrnGN)M6BYa3=GKE?ifBL#ltHp`Znczbtl)6tS&GI~?Te>0j;eoxaqI*<Drmw&8-
zh(o}rrLj7HX}RHdo=mjISuc})W^;Ge0mpd???AAYResoWoNGtEnNFLINxr9UIOvsn
zybr==nEst~?dF#zSw}NI0qq-?l1|)42DVBxXew@U)h#vNs>d1no+6IE=##tm&6kSn
zSV`%s@Y_2V{``@+vuvv+l{Zc*c(%cHnRp`xVipY1f7Wv_K(e&F<`hg-DsF~)_yN{{
z!&KvYv|8$)fj2NwIjt#SBO&C!hp`jSTfq~@*u&1XjhE7;Nc08sPahC;md9m8;+PyW
ztC6I>(!OJij>a8rLUKWe`q6IBQRG?_<ncabxaw*AK}cs`oX8@b{YQGq@-cp4#e3xY
zDmVLd<%trp{5@r;8`iO75pn16b(O*p;Zmhn?U)Xte0FM{X+HD^m#n`A)V#?0*6#@c
z$Qh?8@SPj<hh8dpWbo-4co<CVagfuQSk!+9y-==MzNR&Nx(z;kiRn#!>P=!j{lO&3
zvNCV42^h0B8P`*mNjQ21moeI4#%Edr<7VP}5^$K~6%0lM#r1yOHxI}DuzBtLv9tWQ
zvoSDX{B26HguUzynDD~>i2HI;RS*I@fFcaaC!sI?=rYx`XvC>RKi0R;+&s`bU#c3y
z89(~Ad&!gDjQPUOThiGEG&<3lfuC#zZ#K6!J_YP_LsM~32l8V{Su*FO?Zu$3teh^{
z*fqHR@I18d`b7p8wfE1T`HoC|eYj!&dlcfT>^yDywp!q1clXz_mTkx!%+^WxG0n)m
z*Xft&c}qM27x6zMclh7?zgB*_QP4xOEX)&&1zt;RZ-rY8b08o>C^1gNu;CDDI6Uw1
zhNV3NQIv{UqHH9LD)_K&dAEhpB{Ilx2eE5?$HraE!`63E-No~p#Lo6uPhZI}vkjlr
z)bsdJ?|pUE?2|?pKI5OV{;vLc4_3uTC2ZFDrTnAoxt(qJ%U(|0w!%a{45TNAl!yNv
zL?OHJ(s`@%1@-*RH-k*gETZ#xS0(*Yss*63VY@2xdur`4JO&Zn>OSt}W`f|oPqP|y
zBZ5NA^#St-S-yw3fXn=c#qSK-uL8x&|NI%~bG@{--vsXlTqfp#6FNCEV41Fq5Py(j
zxXD%(MzL7IcNN3PUJf%u*>c<V+O!<3$Lt1BIVFe+ZEBz*D2nYkti+#CFL{q=N4yD5
z>C4#?@32A7vM>^>{kW_*_&zef8t(DiTT*c@<eUEV;M&%noMH51JCs-J8q@n9N1^K`
z!pt9v&fcM_yt&DHboGbW9}nD!R_T=}z3h=@U&=-6j_;{?o+s%%xAK06E5|ciu^vhE
z2=gMw?i$~Bjo{iB9xL5S$<|`ot$w{|sl}KFyZT=m!kcx}LA7YC;loaF<6@5a!)6xQ
zmgE2dU?_6d$;3TtsZXaWWnBnduiuIC;#pvzQh9h2e@4PemU?Hy9>gcn`lq{lWo`lV
zQ#3YbgSE%PukLx8QvsLo;>D*_89F~d!bJ59AyR1ddpuT^w3njNSA=*)rN}{fp1w{!
zphxgih-81~_TzH~*M8+@y{tYr?q%%~D7EJ~d9vV$fbx2^WY=Qu1+0bIg|ojc`KF^`
zotc4IBJxim;9j_%OL{r~a6qnh>}SdSmsPK@0mo$bj+&f9v)pb0L!9aA%lxdT|1okw
zS_kj0Zk}dGbi!=oZedduuu}JJu|u0mE*^WeN$mVGLLqEKc}8sd$Kc&h;WOaip=l7a
zXFX@4s_D+VU*i|5X1Phw`Y7Z_@d|n}_;`@U7+IMnHNf-C^Ta!UMrT=f0&D;C#(ORH
z%xWyh<zDKivl(+Db;;sgN_Qx~SS7p5o?Dc5s6I)Ie^j1|EfSAO3vl%UR){(}GsGl6
zB8jGyDOQa@Ku!G>c%Js==FX-8bD?&5+l~zS#R<Xs=fp3CUEkxalYRU|?QnkCwOzj;
zG+eku-(<)at3BvhYPT~S=4LXS#L~w8MJ6QpPe_1AQm#HST%a`eIC%HbE$pf#T*w0M
zA7BX|M&dAuIG=c%mQVqs;ak}D^W&r(MPT(>3%F1UPAd|J`DgNFo$wB$$L3&`|9bzG
zZ4~~8d+uIJ)ix+LG=}$CZ#znBSr5cjzMNyUHZ*ViB-L-U-7^Mjj7!fHa5C>{Id>S8
zN6M~>!nP)y-;r%`bZ|Mv#$S6us0o<9<2WF)DhMJ`mleSD3wVV>h$wsB*&RNaMd$5!
zSStS&k*#p8pG;2q$1}^D&sz;lhHiYYV%YzYVRbrmK;;aLj@ehAhuR<H-~7*w&vf3?
zg%)!CLq+t;=+q6u`Q)E!3C;TBz&*Mx2iEd2u;gHvW@n*nOMNbgVtxjrZAPOvA28n@
zDj4nCDTw1Pd|gAd{fH(;)QsG=;p?e?o-}IU@ws;8_ps|;uuxIMo=VxL{F>^^ebjty
z0o-=jxv|@Hjg8h}z4L}fS;HUgb1OsU5_AfMJe0|<eQ@4)?8Oy5p3e&W$^Ph6egv}8
zi{-)*ROzW6Duw@Ndb+U`4E4<TzI8+rSLfcGVb!R76X!Hj!qpwwdpC>tDy8Iga6$-W
zcJl)b*8f$Tx4|I2_Od&TQ1Qp1oTRMb6<i3|zaJp6ygljw9>A{=vraS4Vs`&S5+6~q
zm(Ihk5z~~6I#!#TX%2hMV~`PRO!EPr#1I2W&VFCAJ~{C;>g*_P=C}0ZMlf(iz8_|P
zOTF_l-M(~x1k0pz{C?FVr@r2AHlMxPmGQ^ghTdxnk+1YD1>}d$#;w4BJbKB7u(4`&
z>1KQ<El}?O=0h<xXj9f=<6~&yu?)0#aIlCj>j%7z)DkB!-C-(u!I8e;--Jo3^-1$Z
zL-8~JNV<%$i2N_n-T?+&`iGrZ{ajaLvk`*w68C~J@e7*4JFmM6w;ikp!=@F;5W&Wf
z43)S(qP%S3H4hN3khc0Dyw;O2D0>WaE*RE8nltQ)_%gZ1!a`Gb`ybE6fG^AKwdbMo
zUeZl3{D47Y2^*+VwUhk(En{e7;F6_mbXjIU*JY`ryZ2VTbL#VrOA%RRcP_66m7#P`
z&P0$4Ui~RlzQEB%vkRX(-lo~?M%?tZ&W-g@)p};CRrYBwGd9?xlQN;wE2p9nws9lS
z1L>E03KmT>ruwr++4DGQ3wpyW&3fQY7Vg>qQj}JddsPARPm*sG&ZjmA@3VV~%88l*
z>vMCKojwDHF%E{Yw84i>-~w&+#W#uk<BPW1Pr{H%BT{K?=+LBW<0nx#_lYO7W;o~H
zT8M!7cA2!Q4}RAx(}j`DHaP*FG9uc?h1qq#%S#lBxUO)Y3~C(pjQt;?zA`MTwhLDQ
z2`Lfjl$36eZctLBYmkuc8io!9=?3YN?yjMwyUQ5_29R!$J{#Zfob%JmKf`|ZUh7_W
ztS9pK)HM2TX~fjiKrsgIJ4=tp(&N)(5^?=2kvKzG)h`lFba>nre{*_%H!OnStJLSv
z>>EaiKJ=sdr?NLde_@LQ?&?}N=M+&<{BFvTi?On%NB#1$`zL%u=I?n)mhi7cKJj1N
z5Hfn!e#dmt{~c=4xBuTgwYcC)B=F=zpt022d4TyNFMpH5+2|Z_NZ^Ld*6^-3kJZQ6
z11x)z`>+1A5?4ywo2ux0@S=AJ$s^;OxX`_|$8GKpthjkClz-{lc}4y9o|=;jQ4Nl8
z%ldmwZs%anEb5xGH}Q39jm6@@_^lyOHbOPOGT7y5I(kydShoE*JYV|tQKYIa%;mqo
zAL*xU@t4SuJviPv?1IKr);GN3LmALbvy6oO$~2AMXv9qeO{c8%eynG?19}=$IuRBA
z-9Zq~AXdF4fzO?HCY3QYyPQa*6EhxXz$nKLbD8shXDq{K1}iN=<At`GdtBBOUCoxP
z^#Px0_mREPiP&h<s-~eL59z-y>oRk6P*y|&lrC%zUe3yX5?9e|qGsUL71lrr$w#sX
zR^M^KQChge-we65E-&ySW<Fv6FrEgKr<o5BXnnyzHXElkrt;GCyp5MZ8+?P&7MDLb
z`tfHZzKj)0isu^`w&8u(3MDi%b@Wk!PBkO*Hnz$cmRoE)jhm@L=C6=qqvqJ~T>JIU
z7%S)A*^StKk=*^1EWG!vrnv>Z=5Q6cSg>lgiVd^xJ!AA`o??xj^PJp)zRKTiNu01I
zp$?{P3G`-C!z=CIEno7*|F|m%EPr>6K<U8yn>S=ry}v}I{P)kSuKaaPUA3a$v#1q+
zvhnNMu*dJ}o6sNtJ_xLnpv=cmjzrnfw_yUbMexVRaiwdHRr$Q|*hKA=F!)l}web;s
zX=4N5H^S%E8Wq5jWN=vYG5hZ~a8WBOxL6H5!yj%w_I=#yGI}M8tW}6v*7G!VIEpvp
zemMWc&prLKx+e>!atqD6)p|x$N=%v`Rzd3|Le%4h@*0GG;Q>`0UEuaM{e1ig_+0~H
zW|0aD1F0cZFEPu0N@<WyzGCxP(FI}F2vA>-oeOQI;Rv&@?7sm<qp;atIiKpBweZRg
zk+~9%m!%3=ye<0fcit;`%a{(JvQJ&y&Ydyj_B2l}w8U00<Apm{Yw##{E2J>kCwpE8
zT4i0*Xmn47CnRYxg-cSM((-;H(IF-ba`_?WN|<laO0#WDW`=1PH9Gl1G>wzy%7idK
z#AY=_^&fcSr`!FgshPd%)3JKzV=v4FA0dH*IVO%ab5~*ebR4AcUp!Ek*sKfgp3)ZL
z!?|E0o`0CmH(?cfYG*T+TKR9(RbP2D>X;tT3cQ^VQdg@5Q?x|GKu^MarriEPje1IA
zIt92Gj}m@=#RiL%<H0NQ{`mYe-GW%-%69wP_ET&V(%X0!*F4*QJ<3}|(T4ImikAL)
z+k|j+oq{~p0N*S4R{;)t(H5VA+J*%kUFs=;CclP1D&9UgKiLI&jNZby9Nm}^-};L9
z1K*#GSg#5bIZFhLyNURcB}&)7XxMn3=r<B%^S=LvD<KP2FuasWa0Oes)luw<Wh%>G
z!k*@Zj_27M#CJVMU4uEYv4a~I<kQ2<9)1-Ev|n{JI9QGT{|1&gxw-t35{aI0poapj
zpBI|K4UGoA#{Q#&76dH$-+W5N0TG8E2}!S8^F#BV-m_#ZV|HI=T8!}CD!&gu80f9(
zAsQ#QD*1b(ooZ@lM9F9U{Mo3Q`saWmD~dhOYwOel(Y$7i7I8Z+l~6h)JP1mTNOFv?
zZLp}Dw*%#4HQW<YbfPLZDo{zPZ(s=I^&rNTokN;7w%Gk$Zz37*FhfA>CYyT@UTP8D
zs5!}RUgF6D+zxaym)D-PA{LScT--o*p+-I6D@&4=c&yNWUTt)h{~@UCmqgM+gWPme
z^>1_QL^=EUz_5;9{fupSnWXl@M$VgEgvJ2ZCfT-In%A$*VXz(<aM_Fxjm?Mo7`r6f
z?q_oQ9r`xUpNZxSWbbFx9pfz^;N1*LEQ{L5M_B*8V)VNpP0_v1Bg#4}=rS*GW209r
zS5NC<cq)&%2bdWGG$|h5FmPkR@d0vATALd5X5y&i-$c0f2BZmq>|T${xub%2aEw3J
zl-O@6QAm7SGZsP4_t=*i9Oe7KV2fk;*5{8DiJ;mqHT5?dH3|3`Q~GY}-JP{w94it|
zM*jPEm?w2JCnfTN){*;G{kbB*?=o}9b{}NK#fxF^y1(AMny3xfAsc;`ThLh~%JAnN
zrssCD1kqD6o{GDyF_D(N`F*}!rQU+)8S`@gyP?5(AX#p!@S1OWPdNFDk4xH!I70p)
zWW5QWTNer=XIiGcXwGrWMrsZT{9~3fc#3V>I7m5m-+tt#bEg4#$%gN=No@;;4k~rr
zA_&RtbFw-3HEX50O9n0!#R6-1BoDP>=<8Pm62B2}^6C4vW!fH^rQNY*-gYv<s!_}z
zyUq)g#e}j_&BScyo>J7oR>K~zCvwN;N+;~l#jMA<>kY(+RcvXPxUvPyAr%3;4A!RS
z0`U=pSgptWSKFu@rL=2d;wsdIR47b{pWjxvUXlYFfhcZv4(1<hZ%&SSPgL2HD6H7;
zZnOzrWW3?mN<wcLUn*(c6Yw6cRV;mKS!?#=3j<9t%;)i=ts!D%?4DfNmXy!T??<$4
zn+Yp#$2Bsa1fN%4)b{I@hCjoOe41KEV2CY>pVWDx$}9WbU!aWIt+hHK1!+S1hEyLE
z8}yVY@5QIWhBNTtHJz~dr|81Zc_;A6jW4`kE_)R(l@^RIqt2qzT46qYt=eQGfdw}v
zp+)q|)QilLOH$~`8AWtkjv<&Gf%{(-uTspeUgm_|UT3iw#o0A~TLg`QBMFm9o|{n%
zkIdGZq;mcP7Vm`qhxQvj5W|zvnu;J<r0~UbK4_W(@Bpn3tjEGuHG>e!JWwxYNUi1!
zl!M;kfD|5`42`PNw~HepXJ?$<S6R5zcq)uQvUvO8Yq{1^t36LE_2Y8j>xsDG8<uA0
ziy}338jVRqyWF{nmCaN#-H0oYBH(l$DsIJ7I(!8AUZ|RaX9Ky}J>psxd{QrCE>wu?
z@-wh|<w`=L!aSYt^Y1UX#_!$?FzGRp1zv<&1}2H%)2a2gm>H=DY#4@m)!aY9qeFg!
z_Pa)z8ok)v7tfY2R>qQx(wo>-i7f(G^sZ~C;jF1#nJ{OJ#<HW;F@nGCPl6tQ=zDGI
zDeE(D9l3ixJL7MEUWWZ-4*d93kx^ze^dj{X7VP)!%>6{)^-8LDup#xRRqzDwRRXW=
z0GZ0u|7PS>GsE(dFBv58AgvjwVUHraY)_g^ut2=*C@=&9Ob!4=x_F_)>yM+q33Rvc
zc<F9pJpBwRGN_1la!pR{zSv#Yb|pE%^)kKb)VAr^eYY@qoV?|OdsFf4JD0_kNCM!+
zImJ#zqJ?pQTS{{tCSh3*4(u-rTc0M{`Km=6|9f~n-G>~k6`5gUr@eg&#BUq{3U080
zl-XT5@mcvb@WOUbw5^7V1vt`BO}__QzEcMm?{5fva}kL}Mt>NQn|sJw8B-3SIH+oS
z$SJo76#NA;jaL@&+4l}r>#<`!Yk9{gGq_riF^<h4I@c``)FKjt$*6#`xF0r1FK+Wt
z183mXiO9Gh6Sa4F7}+0$Y$+{NA8pDe*rl1duoI3+JSV<SnssyGqWofKAjtBs7QQg!
zsj1M?L?VS7@<K^MkHzHw^^?PPE@-Q0*#8;}TJMn%5`N5V{<fj}CUQr-A_yrF>g&98
z?$5`6dUW{CG1qQybI`^OLZpBTRKBL-GY2A;sQOG%>moBB&(xReDGdP?L>w?`NM2fm
zl{A3jaNa7q`m+1j_>&xbh*Q!rjtb^r_<FJiI?*~IEBzE%MYCura<;eO+TW>3co|PO
zxivpVM8Xm#qj#Ljp~1VLB&~WVYbwc~JD+wQ5`mx@!sXc`uVMB~!k27+l8%dpDuaO3
zJF+=5p!a_>i7KBGVOHfBwrO{T&9J{ZV9yK7+f353;@~nsVdRIN4y6TtzExB$=ux>0
zoEDi}<}uzTZqjnV-?8l;ykKs47LYqjL}EEENG_aHq<~6LY7ALEmmMMvuKQsE5$!Mu
zRdc!a1a=78)_q%vfc<gPy`h3Rg;4Mq_m4Yl{Y4wV4k%2pok4(NqceKX>?g#w@b~#T
zpegzw%xb?Eq8`XmYXjHULI03r>R^kZCPuc+td&RYp*zW0CIAGnNI`?A_u8XC!Hff!
zszC!b3QJBNDdirkM;zoXJlI;jGupChSm_D$EwJH<`N)y|YsjU^t4f<LA5Qv8A?!nU
z|1fi$k^THCvSzB(KRyd9mINn2lj6%9vSA*z5z?Iah<%0GFkT*KAauJY-_SG7a#)O6
zL$L?nAXah@!s&c+mADVTWI=0@)usA0C%*qUy?defZA1^ON<!=lv?q~P!>djZi8|k2
zUdpb!gkv23-ivNIObwGUY!4k<z60jw)6%UlEWJNIcV(LM{2q1}vm<MIjwx$fv|w$=
z3icY&DT8ue_oS%YqZ+p<X%*IrF{a^2s{>(5odgE0cc#Ykg9_KHXsMm*_XZ*uzob5{
zGuumA*{+Jc6Lf{3vKx5_?WL!KqdX7v4K^toXD3$X%<y;1<VbCa=#PhH?b@?9w210h
zmlJreq@Go31=|pWYCe;rxJki66nr;uj(xY@vXOCqu2nrqbEb3&b3Mlqy9wBIlpZV6
zxF?TL&`TGPVx(HvGUtC9CG1+WzNfZMQZ;y1jZPXqtN`L#FhNY4bH*)5K>lMj-VC<r
zX<~d|y_+Bg;Hr;>hYLViXa#HAJu*>bq;Szc)^fl{2EN2T42V2FAnU<YTe*44`1A|#
zA$h;$y<h)@?1V@I7J^Af7K&N1kJ~Wc&FJXP<c<rZ8#ieCwUl<P)x?1jiA@|QA@WO!
zM7Xjq1K#~=y+s?=Eqi|)4-jm76=uSJIBmZIoiIx`)@WzdBlDd?)ugm^s}sipl{+4v
zE=O+k=z;!3Czkon%Kj`++494*<1dsf_A^2n2el2&-G7*dNsw1Qu%OpG`!JpHvLq2l
zR*~cb<`PkXU=U8QO|>-U!V;Nkg<G1udJyY4J7oOLo^3*uANmiB4}Zz)k2ZTpZvP^n
zwGWdSpvGpesU<V6nZ++ByKcR#vX~c1$*)hB%mxt5rp>=%2y5SpoUsKxeC?e>bHnII
zG2FN$+GP#Q>Bs|5nLDNI!(+FrPSqSWv{t8()y(4w0xTz{L4Rk^I!;P$o#;?)2NX*K
zJWF+K<0yY`Y1?2%xRM@@J7mQ_8<-`UM+$d(;P(A4^Efw}DLxjuz#%}yq&sYFHdCu5
z#d1grOXachz_9et{5TWwe{nS0^gqNL0~O|kTE&6CC~tn9b_{a#<di8q6FZ9bTd&*p
zijYrL#1&8*2#o`Va;I&j&}<gY9R(S?-B0t=Mix3T3aMTL-WAb}q;kgN7Tx{vP{q>k
zby5II>i=-nov)gZPn|p`!g;6l(!!=aUpx?Kkqii1k{#xxB_lWB8CY3J121iUWuLHi
zK@hw7&_b+KX?yQ?`Ifs`f9DbQKwDf6afFhU`JiVnj`(lmsVDCi5}O=kxf7@2tRjb=
zklRZ579<F=2&LyIop}6NEM)=%cqQ_pr3_{IlZAAa#~4GxH-d>T00qg7T)Nu9+!E`i
zz^HhWq<hh@P_z}RFGMge;SgYicV-_jfWoz0Hg*{rX>JODPT=bjncT&R7RQPf_Y))t
zeKuGygkQ6F&l1;M{CUQaiF`nQ{QWz5g9*Z9KC6ItJ8z@eY8p@WY&(us<O5>mA_igX
zhqhmYSAZHID0wdA6E}}ELT%wA3p^Uh7cy;+O&l!&dbqK1=&~Go4Ae5p7-9!=tV5OX
zR82dNS;0uK-#a)tA9N=cYE9Og)(Qx5c^)o$CkN4LP=y{vKUnN41<u=5Ldw4xALd7F
zE5q|WDe|87e;<e3Y`=q*m-@AqjoL7a{_@xXntGvah<<1`?JKhLNG;=|?KVrAPASbQ
z0S@BCcqW!9|6YG*@z;-Vk|V&DHu`-xFX*`<>(ps6?sFVbvZD6M5%Q!=XwGeG{f=3`
z?l;0s%%$;V>vpO(NwJFBWwY4MF9~07?bv=sy?QQ(0OS9e9KA-CcSdIiK^EV+!l(@`
z-v$4yaP_6>#A2xL3AcHlGsvF!^O(aSOZ>TDK~L0uh))~4&E=0oZ@H3M^v{Op&goji
z_)QZbtVB$wAIdXJ_1|_Svg>~=jQCUIG^>}n|BT7ICa<MkmCmnmnjN<%BkTKfLGQ_a
zM+XQYrC6<OoH63X@|^dJZsmPLj0*MTvUxq<mrWyy4>B>fg}009LkFYxw2s|tHB)E<
zYkh?knHH*n!QM+}wc5xRS>4gG|E6JR)+5OG4+aC&MdcwVdv#R#k!z0tax6#OgRRIt
ztv-XT+iZY3mb*GC5dog3e<Y=e;roj4bAnN;c*yqEQ)cfg?lbR)zinH%OO$5`bu;7z
zr;zP$@P{^6p^kc?l}_s?%GWhxr<<XmrCcWL+IZ*I@KV<-V_r%V0&mdX9DpAd`&lcW
zX`8Sv_M1Ql7h9EbAxT+hDtan)+g%7k;`)bXJuhf}%a=$`j#s>VFrwg0Y#9^V5%$`i
zI4cw9$Oi&l^3x@q1hIhz|MgKFG3`lSDe=a?ABj$7KQdlO6`$;CKDbVB;X6k`g6-JD
z7wv4?<`*sT#&wnHcbB3Q6VN}|8jBWIG{{UyE+iG$_wqXEr--3y+iSDGte5Qz8#=%|
z_c4j@m5>H5Hptluia#COt}^9PiS~ZCGxH@{AlK#VbG}JLbxgFy1Z`W6uV&v-qUvy;
z>fRy9apNNkA7Ags5`o#Ej;vOm#tn=2M!s#5b92|IwGv|bQwzS`A^%vu7bp;pM{Zei
zBTis9I9UO{5116bBSw=}M}Pd&V+*<9i{#voqk^U`P};O*<G^6-!}f?{mHRk~!BW(o
zR-VDu!aNV~Cy#kA(A(F~ypZc!QnKD>RAyz~o7bpLyD(L5Yk*u9bNbXn(i9%tHirES
zre1|=Ue%eZFAE)=@9l1ziI|PnzQUF8GS+|(MnBR4idrT)1F466KBI+mSSJmW9v;?R
zi$bpTIup0j6S0?=Z_H2~dU=xy+^TGZ_UPvIOumkUb6vwF?IW+=;$A|Jw3CcqReJN{
zQK9%#ANFAK<I}XLE$VffS)Azh68VS_I4iL=U0Ym_;wP!xj54I@I1mgAjT6;!GO1Tz
zOT|Y~=1MF_v*di#X{f$N%8SZTo~<u))}_<vCdhFk>06&#hO&+?d=_|jZyD6PAmo7^
zmSDK*RO2S%!<TX4_-VthO|Fp$&VemXq}?|7eB(QLezL`L`B$;}&FZQ4pING(P*sts
zVUY&^fO?B9Q|itnm+EKYFoaJkSYLe;a~8<eFES>n_&(T!(A@-R*Vq7T(gJZlp40X4
z8EUWNc)EX6-r+y;A$t|(8v#DvPYM<YG90z^aG5+h2tf4aZvF~Cev~KE^#2L3fW5%p
zkJKS`SvmYz%B$9UNwNtyoU4r`<0$%4l*F=W_9A+CNi|gwAO&#*vV^PyBSJIf)FKGB
z>@ifv2X=LyT%1>Pxr;TM^W0=zJaXf05?U2?BdY>QZ^%8xbk5u8TofY`0nzON=B{;N
zl#0Kv*~VT9z8d7Nl~Q8}%|=R&-ux2hXT34^(TrW^^$B}WAKD@VKmm&22p394broKY
z*pt=05jYE7N;8rS=iU`fx+}wASkOAzZbW!Dp}(xR)sp459Y$2j*{i5*Ixcd1%F$!>
zu<eQ%tuW3lf62s9tX%f?+D!856686&z1nxt$<M3dflWjf$eQGD6NibJZRBTrCVt+m
zTNPO~%?ru@Oye9uMAK;Hhkk*5^6uW@n3I<ipC+stI)%YRd)w8!?TD#rq&x_$`jVLO
zo>P++(}`34-rJp0yJGme-{T)|7HA7>Cwug$w6Zl=d8|M#m-Yjl<a*NVdP?Jn9fGkq
z2>Ae213+k(*(9K*uRfnV<jtnk+X4{z&?1tWHd<e_=7ifHne)O<msghkcLy};=dpc{
zj)uq2#Csd-s(wIX>vR)SZ}j|nnWxd$R~YS>C6nt>&38uPf3JR0@@uIxr7ZWUocp!5
zR*v=}W}KzftbF_JMbl`0#@5DUZfd-C$1T`KITX(<rQurcbmDZiOuQ4hyXAFBdV*8w
z^DN>o%%<Dkpq8}MyB{e-9_YcWg_=}~Qy+{Gv}w4e&z@oMbx@zp!>&FprQit$u;>pw
zp~p+bnC5D7Unz3y{<T~4{7!qPtnbvvB(^$mdtN~dRlum|%?rLG^=-36XF_uJS4=Ft
z_CqF)c<H!8O+Sl@O<(_N2w-=n8o?(lwD16~Cf}QV^;ezAG~9({N?X=5R|X}rf{Amd
z0>?-CUigfOp#Dnku5AmMX%~wO6G<MoJN)Ipmmgi;N-z&?;VO6a?nTe;a!ZjQKEbFn
z(b+vew3!<6sLaEv5k6-DfUxN)&`)=mNeZ`p58{gebnDUt=-7mZmI-vi7s?oSiHv<1
zLi5>!gx0tJ+c-vyQHRT=Rcj<fIUmrAs9FG<g=@)=^6R2wtS?3?by|KlhYXc1c!DY2
zM^aS39m*~pVE(-sC=$St#K69i2$)Y4mBceAY<rK(IA=16ic5}#6z{sU|5?9SWq*^y
z_OkT3u1Rb(6&tr!9ga~Jj%v)twz2r4uRq!sUU@3zi#1PmwM>pSiqqGaEMZrLcp!V|
zrfyQ@fI|w099kjw1IwsQ%$>u|H+?@|T_RRke6MD)itZ9^e;+$O<yUg`*UXMyhI47`
ziU4bhI=pc$c3jKv6Z%Hbpy+-xR$uljx81uW4OYd_By`O$CbZZKac+s>diKs;4}oSH
zV|{FgCFO@ae2YI1-rJ0S**NGCo@OPz9bVqLeII{PRW?ej@po5KyiQs%l`I;fUXfdK
zExzcK6um+L5$iS*9q2eW(;ppoFgF%eqLi(=0*HvmlOi|!A1km=2Kr6^NG@A*{l`Py
z3<C-u0;o{S!I$f%0QY_gQFBScI{fe{;`X}puuhbuq{C<9&`6Wq{1kGUs(`6?o&~fx
z^YKYTm*D%TK?vjCW@67<5YqzzX4fl`zi)8X;aY3$Zx{@K!>B>$YaX0TSL1X77L)p)
zGomdF7^VX5I4OWq_A#>I(&3lxJx&_JpC2RqHswDVzpp83Z)17I)V#La6axMGKq%dl
z_&R%-6t%Ws?g4drt>vRuvcBO}nA+DC&4s#GlH|tmu^SThG24dQ<|(^aG8>m*5a|ev
z{C3iUqi|3Ufg{Yy&ZDc}vL`@Vj+9eYnpvhck!xT%wTVe^X8BZ2n+Bk&2!~=)s>?MH
zcIVF#wAd2ANqG&Hrm`4{&98t{qaf>8=9-vYKd5agi^r@ej#<ANW=hqKx`7BZ?G*>r
z>50@c>e>?(CU?7h=U(H-`#`xId{kdL$2{OOpE!rHJFq8eX&dY}4K{^MDWH=YiVe`Q
zMgEg((c=Jl^`(Zr$1Dv*)6_#y2WaYGMZi~Q7YxQ61T=u~RDk<$E`m5e1$<{Da0*2@
zz!Zx0$E<L@6Fnpr^f|l=YCwb0vuTE;4Pih=3&jcCdKvWebj&6I!&ym32j^SiSNUFI
z#c;!jL9evMiph=d+9j}X2v<S?HF}((M_%_DslyPq9DYEe4!V$+_L|tqzU`l@-`h4@
z#ozGG5c&7DQK|UaV@c>5odjgeL#@_m7Jd=;cp$xep}%~P#Rp^-O&-kCP=ng;v@+Ki
z&F=n0cH|#FlC>OpOfgxWEEqRk%h8i{nf>xoPVEI2rzq4Wri^2^d+><@U4Km23$~e7
z0eaC?Pwlw)#Gt~6es?HU;^b?>8}`~3p_UpFH+f~!x$3f@uBIss1GTt@UWPVSN4}{q
z2I_qKAak}Mgeuw1vga=?XN%yhl{7u#ES$yFyl-d6LA?&Nb&(>XP9vgkQQYzwW9*5Z
z`m)N%93V$j#IOHdWWZjyLm!{YzjwFysEqbiy?=(?pfzw5#}|-(#3~xaAiW~#{)^gh
zTI=ZBKN?)})xQ}gQ4zkkYsi1C#RL&xvra;8NI^esKi_lcNqaw-)};m=cc}w53}RP4
zr>~rPZ2g+`fUz_Jyb`^p35mE|$F5YMJH){P%w_Os^4?aK;AGCdd=ilJ=7&$V6XMTH
zE>mH8_oKbgz7y%l&xoxo4$W5$a|p6OVl6ak`g5Ag>-_P!xGY>kkvQ&REUnm!aC7pq
zVBi>)5p&O&oJfpK!t;rO5a|Hjc;4ix+Ay1duE}Y83Fv*Syp#9KQl^>#I*{THAECFD
zks%*xI!m1!cbGjZu(}f02+JF4xD|CHI56r56-%E_RzijJxfZYt3Tclz0rG6O#@FW1
zzA8oHHz6_0b7dh;S2Md<GU)lQoeHX;VeW=R=Wu6kk5XcPOp0M=##(f_??Nj(2jOm7
zrT`)nwQ3Wbbh%um5NLI{|I;%QO=8eokY+QmT+nR$bt|!_`6Lzk@^W%;ru6K0$V?%T
zQVU(+Reae<FYOS)VZpG}LkENP{;n+&#C}km{Yuqga()@BPQahuooMm*rfl<j>RsIb
zNKeh!|9woFG!S(YXxgKNui47O!e#ErM9rlD`;h%Typ0E15)Wk-0662`M@L*535Xd&
zKmy0>FkP@<e0P$}g#gEd+u!l(m~w6KB~rFHUOTF9$8JuoQ}A6GWjq?*kVYZ(*dSVt
zb6X=WWvuG)RgJwVpF)hKhm>=UXF#1rOZt{B@k7db7TH+ogy)5i6sS#6#_p+2I~yS{
zAl4g6;r^Z^Agg0svRMkQxXD%3u_P){&u9MhE;=r2IFy<c9wB*e^GlF9-CUuxO3LWu
zT_v3hZS`+}cciTTyZ_x{;UCqGFfy>f+qqGCuo6#W2E|h*F&pB$G@-KbGE28;k<4ru
z4vkzfSinxg7wUiD%jPyLIJQ7b8*-w99Rap_ayR$2!6nkZyYGdyf}qpeI6`PX3&=T9
zkq73u_mm?xNyK(1d$n$Zpb_5$Z*yXbO7in1cN>$HXZ=~3LJx$iFD>e<QaAMLfd~{^
za?ivxzoIooq&ggf15%%3^G@+IfIre5E~B8J(<xm_3@bi{@sb(>@<*)nf-Vfez;q55
z=LgKqWbOMuJ*tZY0jnZ|DHO2EAZY4I9<jkc>*c{s?xs?o2aop5?QmBjRG0_a$^x0j
zIt==R8lHMZ4*Jjny79>h>Ia;I;kTxac!Cf8TeQmHN?*_S(x=eT&mpPpZ*22cGhXJD
z3}lO%i@03bFS{-@6XSMgYL+~Cd8Yp6;6Wbn6SK3N@hx65uUarQPbgXD4w|#RU;#ws
z>TE%HuDDZvYWf%v^FYeym6`LFQ9xAek}C~Kn%5cNVvig^A?jnO`zU-NbTD|GC(J3a
zT!q*j6gLsXE0El4;zgbZh8rI71Dt5wahx<pRslmoQ$Kxx`d?w}{<MKq^qVj~DTzc!
z&)?uv+3&44?{%l1Fj{Il2NVSqH$mM<ZaG|8<Hf<bZ3T18fC8{DodLra-F!bh)BP7v
zN^f>wksVXZ@+BfAk6&yA1zr8rZ$Q0PPb<3HBSB}T=YSnQW1E}k96^1~!pF|$7!_h^
z2oZtN6(n-9yey8pQqCN-7g=TrdLA2v3>+lGR>rTRxWuP(<44Q7HCnGoRH^V?%|y$Z
zw8(q~h!RJ<&@**ze|~#J+V4npFH3d+`<guoT#1nH(5t6a^`FMd)mOTiyU8dV2fgV!
zD&gz{x|b<b|2KN;EMVo+n@P8|%4|Ax0jM_V2=Mp!pcbs*3!LjcX<tU;1w~aOlDqb*
z^S#wRb;#)FEZ(f^wCdcZ#Dk^$L5lcCkD@5qx1V<`PAfIgR*qex=fInU^L8ZpS%|qG
z>qEgs(fb}Djrx9J>-*V{qol6Ie{Jf%NskBX$Y_@+=JP16gPJP5)n|BWPOXAp@qkH8
z84&3>!i-yttn4n)%fAFKeDY=`CR~kvAUj49$ma6yy0_&gh9}gMrTzjowP2?v&7*k%
zN=zISCZNOKi0uY<J&$YU-6VSrb`aY8HYB{30H&lt+-eh_VD9%1eg0U%67BmA6i%YQ
z!5!<yq-P&;MYZNLb9*sJWtfDky>KM=H*0xq<tZ3dKb1ftI9aO+7*%EGlDwb(=(yhk
zkN-Au*;S(wHTO?MeKBB-EYI4BM;p#1V(_oZ#kf8?xqCud44Z}mxS<JPcyA+s;t=-$
zYXjH^u>jKmybY*pkLu!owpdv4svFKVIq;x$4B6dtT2gL>l;}Cw>?m>GhCofFDYw7}
z%b(}dqCN})Mwwx40(v&SuSQn7c6k?P^)7&+0_1T@LwY)Vo(UZO0DEVj7AmzA%V)A;
z+uS=0>M<Id%*3W2oqr}~WvFl68|Go^bC3p!nTeO?{I-`yY_nfkXWskTQ9;G<oj+m|
zEuU)JHg6dtHy1cM-q-0?TTN?B`znjZTNrNJV~g=6GD=K$=S+x=x@0>d-BM5h_j$0&
zsj!_ZQw3pebXJM54*Gg7{+P!WZPJc234Ic|5}Xe3Fsl~g00$~+Ukb31d5IT{(+jlW
zi_ZN+Zft_;D!&WDVMtEvT}_{yuVjbFP!8qn!^&_08zU!j<Fs$yydA&lnF@PTfmD?I
zYqT<7Oa5418k_gxidwir`YH7&2+XDJBN^VOX&<XvZeBLOF)GUDkdbS%xFRvwaJ%gd
z&ddJ~A3Or<?lEpCn)1oV$|3n<dvlK!Pf(m9P%2G>FJ;*+Je*!RL=p0d5B*s6!MkH(
ziA#RyEqlec{suJGFT8?m<DtnNCICCNAAj_DY^;M<hN<g2$Bd)f4hvVUg>o-v0K*Hk
zU<#lGq74O&9E*|U&ND14w}ELjZya$2e(m@|4MGUw{hTETLsN<7k)e$MC{95rCy7%2
zjC9%&8&^3-WkvP}B2%$LhiCxuJV5lZGXj~l5{dafXKWRF8w(xEq}}gK@ExAuJKHGw
zO{kTJl^sxuhn=w-I5+xOS)9-(ZVliJV6J~iq*dQI_?FGxz*K6c%I(C|xHna3Gm8H{
z>ug8071uT(hIf=uu6{_g2P*WvKzR{q@8cj|&nyvqWb6yYv~hnCctON!JG0Jx$$@|I
zr)OIBL;KbD&YH&D;81O$8~<Cd4qGrg8^0o<e{2)$mr}-u2@_gfV!4%_>9~f8iV;<o
zamHQ$gFbCH{_05@_efY>Q<=HN_)MS;1H${*8dV`eT_IFm)9cJ<RSQ8)OQo|Wyy%1@
z)HWDqaVeIaJOydJFV4msW98I}IdAAPK?vG=T0VD2`bQ$vMEysE0`}D|eyAX9>QOy#
zh#~-}gVA2%LrH#MT763j$K`|4)>SM%Z5z#lhf-O{r}_Q4-QAcDVNVFyVY4m2IxC%~
zr-?+`z$CDf&Tvsw{R4MvP|Zv+xR#{&XkNAze{iWE0ZCd5SebKt01P(+1v2~!9aBA~
zoq{zlm)`vnzOgQ_%Ps{xNG91+M_G27S$>9SrXRy22!Pj?Fj?@{+}>)o9~36~+lZUz
zQvwwtPh`oW$Cks)wkzHF0du46SKZ0iX$7A=k#(rOFH6TaQELtq-#jK0fq@76rFswE
z@0s|xq5vH&b+KL5vsMFqJh1pVxzZ07_-+CmglZxA?*|7-0Z6_rF2!AY{ZbOm#a7p?
zAxg+V*0^SEhqoG2-F1GRp>|{YEeueB0luN9Jc%KEVZR+1ky>y5qG=C^;k*CM!`-;y
zut;C`?LC!_CjSjw&zRMR0?}$KlbkR8TWIDdEir>ZZv4@PuS-EuYhDaYH6jm+8ZG}R
zg>VZkuO@9F`0na{==jQd)oP4Lo9$omn|c)CfCNC}Gg9~nDg5gLASH|)i1)Pa#sR^c
zM+Y$hDZH-2oV+(Y_|akOY|IGEvjAKDC@x(3jJ=Nbnb;yeTEalI^nlQ=7Cj$Y<C02x
zl=Fe3qiFtc4-P<$veX%QSDLnajdf5JG&YdOLq3RhPMsji-kbk|5X&U|z(@WK&;;4>
zzwm#0cgT!ocqE|pO62O)Lpn=m02F{3vE<jV8wH+;NjCWnC~tsd`paWTK-MT`P?0O5
z_m_GC{oqtes4MO;N3J4+w?Z5G_!D4pdrfS;|EnBB>?%5E&fGFftutm9$zqL^_sUQq
zv@!5K>@?-*dqP{rA3oJ{SUPmpmT>0=a7USh9%Dt+e}-%Io0Hfqq$6dROt4`ud>m9M
zj4gPp>n?@Mwd^fDg+#?S#mR9FohTZye}3<TKxxhZJPW%wO3M7zK1H?tb_Z^0gD~2|
zavo!}E5eTS7;gcTww$-x$DPu9x(cdqPNzSO=SR3m=>>~iIU@v%J67Fae90qsQBonk
z7XG`62I%8ISY}D@{>ro8ZA5OFc_sehtq=zs_Scb&Qeyah-hVM(JVL*i^Z(gQsmweY
zNqcYR;<<Vh@8{Z+p(KFPpmZW8UIiGZe*#YU%`dB>=y@KEF^`IP76Bg%HpiVNEEqf?
z?{g5-FSeKe9{!X=luOC?d=cni6sEAkb}ONoBUz9s1f;(G&}sm(ogyM}l|}W5Eh?=i
zl?P$TtnrQylchl>E%i1S04gL773$2+*iF6X@h1*ifg^I0v(xwWWy!13Fsvm2>Gv=F
z@MpYQoM2QL6CRA~=taVl9pn@|))#qmwbmv8p7Pcg1n#|xh)wuoe{zt2PU+xYdz(aC
z%;U20rh*8_Y>i8t0jWI6%*dQYs_k^$#`0m`yhY|Y{oazaWWc5rzA|*Ib5s>bs1SE`
zWso}TGvH~dxY<JJnfN*qv%zrNP7x&|y)FN910p(!n6KWa95|^-+r7*mp`V1FfZ>8X
z;$k<}40a!@)~eCsRg-T!=hJL@@!yP61oLcranUYXvU$0C%FHoGc;M7HevX+}rycM_
zM5b2A0tj^B#Q^F@2mFQSBniU{$Uu89Xm)!mAvIw{bq50NP8>ZNUeIfv{?D`oB#4xH
zffFgoF4djodi=WB9{D>EfdZU@1nxrv0lam%fsYh77BNVEA;YbwwU+pB49g)5aUOjr
zbJE=n(wp}-YG<by+s()xn-_Lp+4}1aJuJ)L2ga%ggE#cz51x;Sl*R60&Rey-?GlP~
zioYBCE(-zUmm~5fUHLL^ca5lkw?_kW*6z4-myeY185fZ+kHDF2_TKf?%T(ssM08Cf
zgHnsDx5c^5=b){<Qj&rP@3Tbr(MIAz<8gwdD?`8z)o;~c|M?IZN`8Pp2qfTgB5*6m
zmzk%VrU*8mB~Z@DGQgd;s4*Z`&v}pv)`2CZRlw8K8-~G4X{_B>V#hLGn$?a4F_E}W
zc9r?!Y1~T5bukTxhW5&5gcReOh5qOlBn~Uxcb5|ov*?s)BX?TuI7Ygf2i$M=dX~OB
zc%OXNr<~lownK6n8Pj_02yZ?zC-jWd-Qj-|Vm58aEQ(`2n?{;s#<Z!qa_#<^iSX_|
zrFkj~d0-nLW#kwqb{UXR2oF@`a`JW+y79gs4<6sAEZ^#UD<LCVU{Upl?!~yd#cGwI
zl{oMck)4|<(p74kA*c9=D$ngFcsl+!96!@-{1-Yw1AOhw-;OC!dRmXnsZ`cQ2V?=I
z0yyF6qmrspU4VD8i2IMJaER*j0Cyc7yy^2=>3`YE+9~{ptYgaw3zD7($8h%iDZsVn
zhIO+?3!lWRY&#t6Yz9qdVG{sT7xis%aovyeJvC%yo{h#oDh=A_EoGPvo1Y$T9c<^R
zUhl3@JRT?(fuEvn!p?1LGpO<Ew1K$<@0kw}8HDQ^0okMp)K9Q2JH8Cl6)!(8CB{!v
zq_;8T@PrX+#HI(z+n0qy9+iiFGO^5t*Fp8tm68Pu!zVsd<e(B)UH?~b>VeC(lo*#s
z`$$$*vn?V2G2n}PG>_PtK(y^Jc$N^OvVxaM(!S4L4`aq}43xJo6j?-JNHrzON0Ksm
zu+Y1(BzEbizUQ@k?W=D&rKYYVzhbQd=Hu0S=4=7P8P8RgM)2E$R1cNeBI1R~zlnuT
z#dZx6pE%PLk#CY2^L$IzLPk*iyv}a}l2UY0tD$-vn$zS0w=6`jPtwr`9@LZCKD&IO
zb$**X%Avw!t(E!hP0cvxXv(=Mqs5EL4#L16PeZI@_^9}KPmB-0OG@Lu)Jg0!>v8f?
z1*yi{CCUAkRgTrsyu15~-q-UFelDi}hg$@;unvcjfuv0>5UmM6-n3Rb&3ruKU@$JQ
z|0WS?%?V`&yqShQr6-T%hZh}0)7}GPWPhr~d}(|n_(;kVJYm5|6bnT7(P;0hjj7I|
z;$l=S3x4O*ihv?DEDod{rwsI_wC-?wtXg`0{Scl6osKRjKTN5fotBtfQ2nbN$ATx;
z@5S`|ggw`RV<jcx+YZBOQJ)_psQqFEFi<syE4v3Ne)3)~leFnATGG+kE5;@<$}wUJ
z>zs&w+9zn8)EHfYYL3EuPYR9ty~l|x3Zwy`V(REV0ALlBr52bEHlZodZfyvFSIcRd
zSx_sUn<p)<%@Fsy?)FY#`-d_GeSd@JwvKM`I5mxht)x4wQhAz|WKh(N!Jt~?_)~nI
z*M)xDp?gYglQUKwlN!mRRAR%c*SZ?~&2(5yzk9wVPCuUuhaq^FLfpH8rHh>tRK^lD
zQ%$bS(i-<B=3(Z}t`59z{@pEpG-Io>4gU6+fbsTyuy!`te5FGs&#59V*{2Y$3C&#_
zuS+#GBPB8HFf;Y?meV8mhC@N%5d~83&_721vi}KE0K!BCEb#y4HJ7oY?()y@qi!~{
z$s?67>6RW~OAp;(uuP!JZ~9-CDpk{Y8hh9DSHlLJZLXa*4qg+6W+h_3G&})c@)d?D
zwz0&jc<<0$mrdqIR#hG@K({Cm=zo*7v8vD_{Wyr@4+K)JsCHOi@n+S8{r0Qhc{n|9
z2C}E^v4l9<uCssv!v6}oYyaW7!%&`HkioWda=%4Y1=+<;2v-?3S2Md33tChaFZ-&~
zMAu2fSl40zU<2y6YZLs;bJjS!{6$DV9Khwh!Oy>ID9T#5c+C>M!Lusnj-F0J7y8`d
zjyaVyD8PW+EZg@Sm<`XG#i}Q*EvpO;YF7R@rLnP}e&4zW{6$IwS358Rv!K@v=z+FR
zl$O3u+nOFz;{V`wsY!{~MsE7n=83ZCgqNfJa0vw%t%V{EZp|3_4$Hff-XVPF-j#(e
zT<<V6(ST#nW8o7#`bXUIDS{3lM&_C)?HUU3Q7j<-46seQd)9EjU~pj^*dos(YoiDO
zYsKPt2U0zIukvVNhWp8mTJu1aPV9$IOFD`mCh$ZU@nJs@_(o7@1EIrq1T1AslNA1H
zu+^>y^TOTK`+~O!?;?up)Q0M8QU7q|O)ETM{tN;#eGDsfRQsIU7W(vZNqSXxn3}_x
zicy55Cu(0_cCm|*+T;e(qBGHHQE#t{Apxc)@u#aFgz)&Do;T-g|881!7oJXV?c43p
zJAbej);IeUZzikUwm$_J&+#svzprTjo?RKUHyd{$DE%RMh5OfEA)EKK>3Fhz@$w2m
z!_k8*rwFKvwXyfnB5s>KPehX)8C1(6@ub0as2ml#uZEvtS{l(GXC&D?HQ9(-o_npM
zZdR6EmKIWKsZpW90I>q3D)-rf6a#lDRYGcQ*4>gyK$%K?cB~SzXtzrta4Ei*_9f(n
zvkYDRXj*B!X5R-wY_=g?BeWNE+P{OfaeTZUrhSvhK&{{}9aR&NQEm6EeRnG3$SrJS
zb-fHV8(KhF{X-U_>JxLZF}wB%KOTiDfaH)?A%^eOu=S*MVF3sp#t*GcAq9ZF!1RBS
zU%=u8X6kEI#d4SnPXz;JRxy#mR$T1E26_(7Mk*QznrNOQTZv~|lox2Lu|hu|SSD`8
zo*xVEs}VO6QlBUpCt?oU&h#6-66>OHpHMx)5Ic{?cFKDe2bz0Fq7(WRxYSE^uEPfS
zIeS9cTE(l8&kBRq-S~4Re!7Nci^J7ifK;T(jQ@VQ0Gat_|Ke*dThI=btH|z2YSzUQ
zmKq1vS4#Dpc`>He0b_L;_mH&!a8v)Rjgzhy1FPtP*gA{_+o!KZ4Ef3hnCkjb*qY|O
zB{5xWC7Tua=Y9l1>UTqCyDPIToAZ^2XA7`fV02-n0Tb-{nWzq`MwK>IDWv5ZunQG9
z4S0DISk8udf~6F)2jspc2rVHKoG3}Ff2dDv>4bqT4z65DpS4ubq8w8F<zAR!CZxU3
zQ2uf?kI?L1<30_ib6}y8Hu;;=7UMQd^zH1~=s|}nheD_M04XYBl;j_7M^<^v<x2G2
z`1)Sj^&gpkJUIYJzoQi&OW;$0xdADjs#RD}E|Ap*<pUbxP3)uhfrl0Xm{0)cDl<06
z=M`d**0#uR3bGSLqDYV89g0-4S`m`6hVN0l$-tfj2wdDq#PFA1qQk_iZyL`vU`?E7
zwvU;2i_wMbo+cv_Sg)1^isS`7OLga(-h{}aSNnJjM|yB*5~J|g-S7|OaW9RTWMY<O
zw2p1J^K&H~K+xX(GP_nodM&(TRg@%WL&n-Cq>tJ3Y4gKJgw@mf#%)^5X4^#krfV9#
zoHFgy#UEL1WlX$QIqyj9v1#fMlt5-Cp;*5nXgkiN1&;wY61F@Xxj76hsQ{c25NdFN
zgYuZFQb-2R>n(tmx172FbEw1NmL{!tgRwItO^!I_KMLZ%<%3^TwLp7?b{{-Z1`Yob
zx?ZUWLlt87+idpCd3`?c(f#p3=-*mU@bNCG8i~3x>NER6)?bso)sNtRS@x4l`O$kr
zjsDmvM6(e-;$g&q-}EvAXcuEZR3(3vo@gU%RrL3NODljtDd3o!f81Mf7zISm-U01|
zgde&cH!t3fKiKNiGdxCewit37<psY9x}TK%JKKY(?6-$->zLZzluCLvUCrbaa6HCr
z1v1#0etfMCEv(F-%A|;@_?o1pD`Ll2RkLZNo0o!<)H!rdgbhq{hKw&UwP2R)+*%2K
zJ{1x(=`C7bBN`aB!<Z;Op&v8>42Nm){3lOYO;gFcnK;E9+!RJTVD@Q#)$R02|IcgQ
zZ2Oc(HvSy~ZlaThYoy)*J<qYv*y-aM9NL`|@nuX<116SFqS`HI1z&iw>bC*t)~0M(
z_Z&C^`xaKh<k__yCyuvPJN$b`9HP1gm=Z+1EL*Bengs?viZ#D-FzJ5K=TG@Us?W#C
zh7k&V?oP9<QuZPBsy#W9zrVlIR+{5JUET_?M3HO=g(|-{92K=^fl|lJ=QEVPZ!WIE
z=A?Tdg`WT6hvWy&=f0Gj7xIX7Z>TbXI3wY<Jo*b>p#0lK09Z*=5}=FotvftWG+=i`
zLy@5Lv<HvQ3^eVL{03z7+#-mP0uYIT8zuw))cov0g#yIdr%j;C2~e>ue)_}gaWRRl
zqqyn3OP`P0wHix%#+mcG#OY+aSrk?+Ui+1(%9Q(dVs1a0&vb0g)$$lRWVKCZ62P+;
z<G=1VGD0ArLlg3XX1j^}P+)As{hprn=0&mI-P$g&HFW0H^HdW_ml+KV0yO&Eg!E@w
znEgE;dTau98#SK=W~L8na-f()B8WyXf9^KLf7SQ@nivae=e*Jfq^TWSlRR15hA_6v
zii@Ul^TtsTV-ipPCy-_N*ZqK*QJstobE^GW17=|Krdivyq@%=(9L*@?P01z8k;;VT
zVyUFdR$$r3M+fm+f{ofj9kK7}b!4jUJ>4)J1I!<m8=68m{?OX0oG0yX<UH}rT0ItL
z9H<1K2%fZrOClD&75>8Htm)%5O2|w3s-4zNDN_PrIawp>^h`a+YBlIbK^{tbK)(if
zm{*T{H|}aZ@SHJw!evJVnIA{eOKM;j77&$-1J46{J`^9fU^q+zcgF!~Z6M{!8+K`m
zeF$uE0dgfk&W6h2aqY>$$Wh7bzE+-|GzLi5!hvoCIDvDGiY!i~@~(YcGCXyV&7<#N
zT&>4zoCmd}(a-(I{lWZI`7EGT029yKsasjK@cZdui?E+1NNO&*Z6)BTi(#^H1y&jG
z&BLmG-!_mt+><xoG>qvKwFZ)Vji^j9m~Q=3s)XI2R}Jh!tK;}Gb`s195tTLRDcG~+
z*|S4^VJExTZiG2-X8yC#NUa=zLzw^kEI1Qa1*kn=$)_dz_bTIuAni{YD-`ZZM0l8Y
z)fQJ#brl5Y7~PxeF}UwYHA+DAEMdePRjcU+y5wlDV_NUssj<-YQdXY&(!dZ5ANFVl
z&|ZXkEo!|-)9*3oqi{coyD-faV|EBa^rW3Jzc&2JeY1nd7SG6Gvv*!ncKWN*LDbbt
z)qZBtFXCULHcS35Gz}&T79d&oX?BbF7cS8x2F*sU0gNfIW2Mo-LzD4w&d?-YhZO+Z
z=p(=<$w6f6nxU)8$&cwq;q<;%(VpSn15Os}B<9pMQ)J(M(eXdjrVGMi2q&De$jQ3O
zeifBEc!%0VNnvK=@k|b8es9502U*>-GKMo5FXh7@U!y)7^k(=1&sa6d6n;{%BqjOK
zo2YlvqU~Oe5vCL#nK--RH*1!o0%%FRXQ6;F-KI(B&Er1ZeQO)Nyu>5P5{qULLK)m&
z*fTZ=>33Z?zTME!z!|T>GMuvQ#$Y#~2{S1F2$kax9jY)ghbRy2$PqZfdcX4`U$!mk
zv_Ii63no)*f+6;YJp^1^Z&6?4C^25u0KeMyPr|&o5>RGPUH5CckHozAdby#bb66kF
zchk0bDaQGwJrnC=pls9S-))^XF)-QaU$|Y#!MM~n&L<tTP0ki@nIY>gx_<uuJ?@Oh
z$NgU#4*)_v!9@2j{u>;?W*)$N_y6{wSOkOjq~(vNHrm`R%_+aQKre2@N?c#J2=fZ?
z?~#zb)=qZ`#G^c#!fRurT_I}Fq_7t`fA0bTO&90oW;TXq?iICjFKma44PO6O>n$Lo
zE9*OKFU}Y%(%D|Hs5baq0rhj(MzToi+0*OP=D5VB==l_YJ2K0hk(RXFNxIdu{W1wp
z0E|J=JE!XcpXTJ~R8(b5a(E2+%pgmPCNqiXEr2@*vPQ}LEB<`Dv^}xDJnE0c1=?<3
z!SL*hJ#^KL*moz#;-C#nw{{V-7cmCL2`&qX7B!_4dKk_(jwn(~P9G3#9(mH4&>`SP
zy$A0==n3;+B>iiOqfYo7vf2q)V5f#!drMyK_+><qD{-Q0(Do^gmd{Wz+7r<hrv0S(
zA6+PWd9o)t<>EhC_6wkj;*&xBfjEB!@tu*TS0kN5_EGM4M{eKRp)Z;lBQ+<m=KXc^
zHiz?3WG<{Rr~UT0u-<WF?L_mF|ClECH{~SOiU~L6A#LhDD2)QS;eLSEm-bBWNUHJb
z*z{~CG{Nt<g^z8+zNb9D+|)|3fFiij_nCf2rp#}Nrj@qaP(78u(*?FaD9D@ceGAG3
zx1)ugX6dz&frupGm;<9_m|A@Q9eOEX8<EvM1%(?rtNz_CBL+O$zQDBxN(%7D{E(%G
zctuf)7d)gnaaA)E0qedxuu?l6ORp@!a!>(QG$&d?tz)26)*j$Jh`3k}W}kan9GK_R
ztID{i9HU1#UVE2Yd(tkZm);jDjpri*=Kw3-<qcPjOnesD9wP;&Y`}K+NY3&<_eWAi
z_vwu4l6A*fDX;c@Kn3#g&w<Q&oN9wC4MnX!tL4Bj?Dw>n+5$#W%*FRE7D^??@oNeo
z(r1jaO0X^Cg)IPefAHC<T0p8A&zk3xF35zgHE&V?IiB*o!k}J0O#$|@ffOIeK;^4G
zM(wWoHozs>jm8i>N3cB%QYyKNu5ozEsh82blrR>8O`oww?yyAl3=`FerO99MeC&0N
zXAfybIs<M$=TYD5{IEp(u!^fA*cX+g=rYJFZauv=s~Z`ExL~UqFD^<f)(2jE^C-<6
znf(B+QyGWxFZtRP=h@<ntS|tiXG8^qq~n##8sGC#Z?Odnl~#{2yilprCLpm&XqPB6
zYkSWd%t4Fo8Pg|9%sXUsMfVNcSl<5K@WiJ3)hE~}wO?bWPEI=eQ|({ZdSp3_91Oh-
zq8$_`O$$(mEA2c&cKXW?%RVV0uj^iY73DcXbcUMOPVjp~ibclr>&0*{qN$dpB<445
zG5%V0(v@2-?9uSPN%qw<z+|sbYaYSX@aKDapQGlUjg&raw37S$bLFj3kDkmN_V%Bz
z32H=Bp(|^W&cnBEiFcF!&Z8@i8AgSc>b8H)!;kqK+c=__?YL{ltLm9EILM=4lk7xN
za{NCNZ5m6kHpYLI1@{NA94u+G{83(k2Z;b%&#(^>NRR(V^~s}A;pAZENUBOe_V4wd
zZ1|x;1JJV|%7yoZ#e0tGSA|oK@AdQ*d>e2;rvOY#isCBpl1;KgqZV!#J@{<)a067e
zfrgxbRK3z_iHT&xQd$nMvQ~VZgDyKsFg;`m9Uw5m2h3liQ1$HC(g+9x;+L{YS1E})
z8Rf!O$4g8f9`|)BlV|Z9nh1;N<&vgFL@e9i&;$QYP1ZLml-ek6&klWlMRo1aQ5>aY
zieNLx%n~#+xy!t<LBeI?OX4OPB*Yo285us=J`3+#D<Mj!5a>9X!y0}d#O(pUpdV89
zXBEHkbQaqCG%>R?u-69C&RX;-wdkH(KiGA@<kS6v8eW|fjq|yv7Gvw?r^zZ-a=DU`
z)~nP%MK=Cvqeyv#XY`jPFN%N_K@#mBB%inq8!~Gb>67W_=fVJ7-KsDkU}>hU|GITu
z`Qginy?>IXSSRjR@z?Z$QB>|VT`Szxl}QW~9bv8^vfDHp$RQiXtBCUad)kC?x(rU=
zJ8z2k0oV3m<)TA;Y;l9;?Harh`^_lBO+a&i{U4&fIw;Ebi&v#vx<NrfX{1{kLAtvH
zq?=u&ySrPYyFu8cyOGYtC8fLTzI=c8&i#jBaGZgCpXZ!Uo%2>}uxSh8yUC=3)%n@z
z4vvv4W8l1`$90x}^shq)QaoF?qUby$*cESya<y8g`V2nEvw&*D5g1e^hb+liZ9Y2C
z<@at@@TL_dKiORxI>%<dc^<9@_BXI{ia@ab16tN#i|1(XDDcC;=Y2mws#l){n1S;!
zdY%ObwlYx$!_2qbM6boNiM=1(pjD@ZaEEnbAlory&40mjN(iYay{?URhYekJ?mZUd
z%=5@vxx!zV^Kq{wMZX`rY{COb#?>p2NFZ>?#JLlWr87^zqwn1X+APqJHh;nf#`0dg
zv1MI7h?V@JzCC|+DjAOyn}m3fhLTiWzk9cNaK@3<pjJ+j8p^(t-Ig9bRKjC0_)37A
z{jA~W%L6e=ipC)N8_HI+#n3H-f)>pqesO}psuyx66HX%#Ci1fSCI!o{P^O6Y(iBDL
zU)`<$+7cH8nz9`n`W0klf?9|(0qcZYQRfZc5<j?N!OEsu4_Snf{@eR;)Uh}l+OJ+3
zqCB`-12mU~idi<Ld+)ZZnrb%c-+dNUQpu64D`Uc_3R!f%E^&$52tOCD7U>yf1-141
z2md5U9D2>tuFb3bfsoNQd~#bBCv90sv^_00NT4wCaA;xa>OPnAUmlyRBAHKP(wYZ{
zbJnRuO;M=GSy0KK*>55dX^p|@Z1G9Hk}y>yemz;cv`5HJLJ8E18PcMm^W~fM*JLJk
zt1)f)3vO}ooVa_Nda@RJ?euxuJ=csQ;g-#GQ0#?+IgF38_UUwt7NlDs@f{dx+fWB-
z$Ek0BbZtHm6cWgBqy3}hl%Om%eS>yG4od%|u-ZWzZjLNyhjR1gzl3r08Zah#L^K7y
zYW;tcE0&R(Sb5JF1(4M4q)xq|@RdIwo+pSZ>_oAim({WKfpMIa>vk~#0q2M%at-j0
zs*7*dF<A$eIlBek^@9@vev}-$*200zigR9TjQ50Y5VTM=glzb6TWrUWMYH2-)2EuX
z*H(NENcQ|oq$YCK4g1p1F*WrMplgFj9mkKihrJfIF4CLr@-s*#W>rg=Gj5aE>=e4e
zK>ISfyKG&4)e%P3lth0`b}J#A@rmq=QCBK=kf_#j<Gv&oq1MSr2-wyq>nzipt91eI
zi9&cqe0!g{!LHzgm{el0qrxXw_M2#66>Do!s(>`FGx0k!W0%*ZQ@VUo)|*v2ruEj1
ztfo1$2lIWY1o?N?P8I4Ct57YIX#xXeAI+rfSx%>d;sjgT_RyAgpHzmJ^nWIAu8U6y
z>W8lB=lqA3{5YCVm|k<e7gMiM9w#tXc^N>qg~3S4uGz9TQX*B8D!dbfrPC&u`u!iL
zM(O002B)*-onnp3oL6q!xS9nQ_d=vR5yFwU0ghMp;H&cm?%BGYJ;(L5gZsDdH@?ut
zD10i7-!2eN7u?O;Sf%f`caP!#+nW7O73M2Uq_ZlR+&r<kd7>e=4Y*7#PB~!Ki-Xy)
zPt6L(Fg?%`Jh^ydoTk$<_YJ@P?$c20*H6=~u=`i$MWb(_60ZAJlb(s7^X_6ZU|0hK
z)zu_XApRfAUaghFwI)|0E!{eWmVd6!QdDu>^bj8cn@a^L{H1>c>|u;gH8Smdux?hu
zkRdv)W9D>qFOf}e5~m$-8~9%e05p6|g$RVCuh!okonZoIRa$ETl<ylD)LQJ`gjKcp
zU!;(a*}ci~*-D1!0Xag2cSrr?F#R|vwI!I+7&Hq658oeYNRBQgLo<M-3!x|2?1LD_
z23<nq^S*PBc_5n!`klYHRi^)fy6?e1`xfKp)Na2x?*Ihk>8PysSMrcpH|h1z*S2oJ
zDBkJpt|7L$GE!O$N<FB02eh^&-@~uEI%j&M_bs0%a-dGahQ-DIN(0`mD>pabUAmfH
zz7&mR>JrnP&ii<Wcxz!dOjay==atX}`J<wzWzMe9o%-ff%ld<U$NXwvIlA+gUxod)
z1=Mhjgekea65#clRUP>XPC(jFPcKV1ehp?YfGnl`iHEP-B`=w3r`VU*tLj{udaSzo
z;NP-L4rE-=cqi=;;t44jq?^@7)V~VCQ^s>J5_8WxGA~iAyw4vg5gjgI(5%^WWo{Q`
z^R4z%QnsFu!x&Z}B-)COU#-n|#9D?~onh6tHfv49hA1sOs4tRepS~ck5G#71TSzpb
ztK!T_!P@15*or8uW~YIGwV#Dz*uo<zh4DUa3X@-pO&PxVP`Jg90&+~%{!5MeeLMFF
zBvp@k3b4l$hzff%AwtC5BW2F-v(e3onnR>ua>)d*pn>nbtarTg@)>?!8;V9#ub^nd
z<ESG?<nlpUb=peP4|@9s9D@*g{Jsm|j7Mqk_okK$_9NPcrQ(%qZ23>kQitkKjc~n7
zH+x&Ar=^Y9T3N*Z(f>vn@kWZ$(Ds@E#ZAkyMwF*J-}DjWeoMkjrv|7ivkN_Et-)Ku
zs@var%K1RlE9v*{nV!wr*aAc_sFrLXoQrx(i81F`Mizm?rq^KevP`YRa=jGyTgJ29
zfSA+|uB!rR4z3&nJJR}tL61)c8#a+35fWGcy}QrQe;Ys4fq!xxgggPzydNyGczpP-
z53&ciulm43zv+EYap&=*j=9@KXZ^b>nhm)z(&NP=_r3u%U>9fGJ}xkV@dQ9DVA|D?
zC5gCxcj3xJzQ!Tg6Dub(C$z`kW!(5xkva`(Jb85=^smY?55AL_Lg0aCWqKw^B5k8L
zSOxH3#bc8;Z-EKAcl$2$A9<p82ZuE|ag98#A12jQU$;4m+ypk_VX!B4cQuD~ls$Po
zYG-7-^@XeVmUCS84kdihXVTuf@h%D6$Dm;{XOwG+b)sU?lT{4~o4~|)8;^58i&hrI
z_0F(uN}=u5v`&;^y=IX%2j4-la=JEEwHf=MY=Q5(NDLX53g=|vR~LT*g{b915@WNM
zRh~Lkulv(!OoIUToFAjL$#r%(N+Te*y~1Pi$JBdLt%%`e5oZspP9%JfqVDOImTtGl
z0y^76tJ8%DMkx|TqIIz-YhG_cm={*Rjl`x}8??8=zFVPrQ(h)*?-s_K@}ytDxXd2U
zl#H}SB;8X{Eo%(+6-*z>7H9pOO?v72iLXkVoqQ2Rvi~^bpEDJPFt)&;6%e@?i@XUG
z5VU)qw;tX4!ta#w`LSL9lKh)wQn_PJ$z^iM{SO3*uv{K;Y-FYBA5%BO=Lor?WxNU5
zz6i)*meeL&#(osWloXY|;Ei2|aoJ#srpo#J?PhxzDRy)!?4>CZyeFxyAz2Q~OU-T7
zLH7r}twxjW@y<^Vm=L846wD>hJuZ3aPyMCOV@d;xr8|qeA@tu_18_LOy3pTX9@BUb
zJn9zM>&gbzB>)m@>J@OW=lt4H_Vei5XeE5*jKsb#JRQUt1sMGHI?8pE2dCj%#xY(!
z9N3+(mt<Q7@xT_TeU$Nk6BzwMtEo4GINSCOkDIl0RW~jM_@ie;O}nR9Nl3`IoArZq
zK*dWVLOZ;edlrLZ05Mn!U(KStr)zU=4_G(VzEp-0rLGxV85{9<=fTzt!K(uluy1Ju
z-53|I#tjq#FpNw;yNa}@B~7KcBr>?La!3+>>-=08tMQ(YYl{>aSE|zE>jc*#OB=8W
zMU-{&++b5e<{P#6Y{-AhRQ5Ma?*W4OT9|9Ob@4myp3NGtKgLA(uj`85+y<&zO?=91
z;k5=|M=?|uF4dGk)GJ?gK*%UMZDp_b?y9uY+^U)c>w(h2o|&c0wQK)4N+E~>nCMiy
z38LH({YXtq5nNgy2o29X?2e(wv5cMb)JSHWgE0{MGCI+d8zWd7>8cWuI`$%0G|Nhl
zB;5wvZ0R;#Ru9P~of+^T@-KlLnN^}g<%JKd+y2pkGP2OTdf)OE+Iew6IcrI?Sr+oo
zA_$%qz73;$WiMRo?Dz~lTDutEboz&FX&S~oS>tHixG{V~(awxCQe3Qza-CZ$rnLKq
zKfa_hB(N8QrX!ieneSDAHazsbd6_b+P1&aNcAY3(e#W!Sd6LqZmWg`sGq*}@NxXa>
zOg1;{FIvQmt>d_2tn@kC_n1EMdC36J5C4nz*ej6zw}tI_Hq|2*^T?az*<J&Nz|Xrx
zd7uoWy%{X-O%`BKQL#4Z`e;0SQ)s07>pu2yiNQ7BI~1@_Ci#1jK})B#?D5BL3ciEi
zcP_u1pN0%s)hU3n38nRtcD+j9?tN{Xq{2T|M%g@fhF<{b9ELLU-UcOae7}(p^%mHg
zvf;Wfa?pVBHBm|K)WcWX2uGnn;<ZFj^>r#|FhIQ!%OJg{8=H1<4PKQ!Ucmwt@5PcR
znx+BZfS+^<GPwLjEY@9ym>K8v;b0a+`fWw?u6lO2Ty<Uvuwf}`V8irP@v0)?H&If(
zr;y);YA{~b_4j+h0{bN1-c@t9ZSY1Q!}ikv+-l0ey^~Am?xp?-^wqLOb|JYuRSW%~
zUww$Ld4uM=d7&n|<y#$Hd&0f)KB=+^p)c!zNu;A^es$l&8DSxe&PP0V{6MUXB<qTu
ze6Kw4a&!Yo89Z<_4VEsgH^y__oMvg97Nk}#ao3ce395aqo5|)Dqi=d8NvGdTX}jf<
zgpkg2-Ua1NM~U5(5s<^mVEFvf=K?{9|5yKv$2R;R4e%TX4h?_c8B23@r2hRdZbCm_
z6(5=s?Jgq__~ut}<W`7~4Q~>;!UqY#P;W_HUXLh!ouKHf^ZPp!&$2*XlqGt%2p}SI
z@zcD!jA*cor1y?NE<R-$YqRQk4fyY3?fAy_(SwHnX3X^m?@oU30IN*q-X9%CuZ@0t
zo<-Npisu3S7i$(hRbcsQ&eI1Bn`bZ&LVUv0MFhJcA$j0cK(!@731k&Is9VjZY;%D;
zR3X~}c|7CvZ6P3~zyd9QyQ(!vJoqES&r|o^>eydvvb*Tlkv;kAGqn5Pt-R~Gsgxt%
z$jrtX{Dfw2TJ*+-z2=leKA1T3czx?jxfA!B_--2)QTZ+4PW(KmQ<~uQyn4HSX~2Pz
z+m*BW1Bim0EN>1*?|wd~zjf-5_Vy#q0%TJLzp;-BfvV$ih|=%4ii^)1WoIqOr@WIY
z!ioFd7a6=qWsndKi5W^F0=Mp>OmPYd$Yfa3+X7oLD%3x;!#+pE$@6dODTfXXnboOW
z#tP6DwCam2CtDEmOtneUMB(qYuzt=|f=)S2&0r)oCvYnKOGo1~gr@t&@)8Rvp|^gG
z_-0wmG4tAe^Ux7-@RMK!Gg9l@HF+LI#YK~SiC9gG?yd-Hzirl{0XKd^7x~~7ufsNA
zd>W9XH~-nylcn4AE$S8m^V|K1KaLS>%mm4*Fnfu^)qPbi7&wl|v%94btmQTWc*5sX
zEhk2ukPTHoWS8u>O-#^pr?XClP1>Cur0Lc-338HY{UC_C+3c3l>Jr-gO{`Ok6}In+
z;Q#PvdPHD3T2SLN88zm1-JE)fQHV&6U{6+I(oI=UaG0y0*v|U%;!7ZN>)dr*nqSOk
z8Vmw9ivTHgroKBtfVL@EJcq}I{<o3Y11J_LgNDLdz@ms1f$qCEp}`==ZVbDWVE2V_
z>Q>XhrMm9_P3SnMM*Vv)f&r}bW9{~RE1w{riN;5)x&7;e?~?HANr58E;$n3Y1|a_+
zOjxynm0*(8-y6e`q-=o|Dt=np_V@!gRqIs6&Lg+_z^2-TSpJNGdP;TstuWXXi(*1^
z`9WIS?_Q|e>UY0lIA2w;@cO4RM}@r%$)8tTl6x|ip9WoCoQqeP_}i*!h^fTc&{S(*
zGFMn88}KMtSa*e3@J<1fJCttG?$qZkJ1)xWl<D2TKrXX+f^FwwwNw^CGlFI3`A-(P
zn?Go|I|a2Lg9e{+T6v7E8RX_3MOK$)7LRUnniO-UK55_-6sfD>q3WoA(m@!6eK1Kf
z(i}`h48jv-_IqLMg#0NMkv<Ty+$sq39Ob&oLdc`a#$V;NSnZeWy_PCHfx$5a)asB6
z-77EqhQ082TF&;W5PTCOd!gU#Z9l)!vPyb&jv9tuPa@8C=BN!ju**<%*v*GH_V4b$
zLV5`Op^f*kZjw%t(eKjg@1+y3@VY;%xLVuglMW;<c4(}}%|Q`QF*X{>pbaF187Zjc
z`&6Ed(t41`=Da?6VD9EM`gp=<t5S1Q-*^T(8;Ppzil962sh<pG)<o46V%e4}6vSAP
z?9h)4c)f>#!4~tQ*cWL*OUozx;H8yq{ALlOEk5^NzU_o_%0Y@bF@3=O8RJtISv+Gc
z5@#6V2`7RXajvlcY7y$@tcF@dRuSD*2kT{Q{)19qbE&t4=qMxzDgh2V-d*jJ6CG{A
zvdY%=mI+KjJ%YWh8bbrVvf>(e;ldITxsEVT595x1`4QVY=8ki?3=7PQ@PN;DTGO+S
z9<N8!#9jMwX0l(5EosGBa1%_E&o>wYSuXFxz?yWdCjO001ZqSa;oh`y(su8+aWZ@i
zB>oxw*uOnEn$9+B+w}!?J8YqcNz(Q+%C|9_7V$FgRLso|ZM#sH#TMp2EtB0cujBd5
zA|&k1zRaxAH}o2Rf9^!2{Z*Q5?Ed_?Pj<eEK(dT1E4O4d!>S@GAtDq<;d@@`CZFBP
zh4o0|nt<j`aJ=l$SfC?iZxn{~FV_L%Y(sZJQU^@;!vMlL%K)ZLyPNsVa2n^57Y%6U
zx^bsNDU846nrPtKo)zHNqHOb5yxZ!Z63o_9RzBPBc~lwUSRQp}pCI)I1pTq7>cj8Q
zka^FPx>DL%i%xL;Uf6FJ!6){wyIPs@4B?Ae)I)KuiFcH;e|5eZ&JpnU3snFl;uFhy
zPW`P999}u|`;4cUU#nN2Jx9V<VU+%)%mKggK6E=xQINWseFlqfTVbh5NPa%gtF$@&
zfZvF|<7xFRnT{*s`aPB>BK0@OD_rW)XjEx3Ox?U(_Aq@2#-!9&;^Ds9#wrHe<lCHd
ze)@8K(*yBC$ke#>7Eymv82j#cLDoMSlFHfGGB0kpF1qdD*T0ZABKAa~ij=vS;fWvC
zzpIN(a=>RWHfCPKY!|^(QeY0k=}hjfjIp2QE^~PB75f3Xz^edmSUoQ6tEfR1KCHZa
zO`dOK6cs-6g|N!hSPv(bhc@tP`{qyNYZ#8k$st1lpQ!JT6;m%e6kRF@oJ&E7?vlr*
z;zjW44AoQqVNY)QdJea@V~?K3gi<zrlE%Vr5s}oqx`RwBg_JacL896HT95?I=1-#u
zrhQ3Y@<?}s)|`j(9X&s_%Q?BfX8$OTZn;M00(Zs9=xE|(eyGj;Zk>n>I4Ee)xZ&xq
z4|uvfonoUNv(XN7C!Q00T5{nw{6uKLSrc`Cl;o^PRMcEDB%YwVwn|PH=Tw$OmU<5)
zLXUsK^?QiQl*eUz9+FXTyJxvyCHTQ>I%MVo8&)ilc<eykHGR$#rA*}LWCYZeM8oLT
z6=Ig;LqX(Mstft9M^<xl8g8{wDGgrgwh4RXTM9)L*5%HB7b?QGY4`8%FFbgTakI<1
z7Z`&JTN*6O?DJk0G#X)mdk@Wx8)q6VOf+!r6au?(?f?8EUiG)SQk93Cy?w>`?qSFD
z{B>(fSK^T7@!AL$b3N9{xyONF+bPbkM&gfDaI742Dx`ZktJX3rF-VFCwiZ55!Q*OY
z;BM2s_NM;)N4x1G3?Xk4qo@67avaFQjcq?T<z_a?3ZiC~lKV!BySmJEIRy2G?l*SJ
zEAGYMLr*zAp8NEkM7;BRIz)*G3SU93)$5XP-|RI_8}vxOn?rtPqwvsYi#K}49w{uu
z#H=Ii%XRp&HbMzbdPJLx_o7DY`W?ejy>k|i4DW`AuBpEgeOT917oq8bFm^$rqCh!D
zhZ)BxjhVPz85-nA5ErrMQ)Pj|S)7J?)cF?L(s-gm$chUKFk6?8K0f5x82w6UFZ<@G
z4T+1f7oyj+br|t`i+4L~9cF;Tg!7wXW&CjF!t3d27c0a{k?mo15kJR(A7d_(I4TIh
z8}ej6?EVO%`>zgC=3lX`VzoR1$0cnd_^9I3*p^{<vu0kl9D*iLl-5U+B$I17Mz<X~
zJ@|I@>AK`-;#^8#I~kHh*?kK}OpwQhAtd2+D+m<6mjA|gRxS{!8z##6DsO0s1&Vd2
z3A`_wFY_ixnLeCW4qItHrTc9}W1!~sY2xl>%8|Y*25kWBj&glvwEF-!qQi#~y+i@&
zspz5as0(h_eP_~}UB^_=(~5@zCSnGArc$vM=f7c%2mM&Ct00~qbX(8baw}>8PSYup
z1ayo=L6q|fIY*x~`pMR&5|V{undN9)oI5Aj%REAEz&wa$Ng1ImVow|7u6lyJjb$%3
z+f;oN_E%%fOmMME!L#i5BZ{-#m;6Xn%W@)0@4q=8%1P85P3kmc=o_90&|2%!(l+j?
ziQMMq6{G5~k}i@QOt1S1*ixRHZ+gFC9$;eWeGaAQn!ias#W%JSxl_Z*4!{LZc*M{G
z{Ow7-k)xz`xSBPdv-u^~rewTdNVk2uo4<nbaz)si@2+pzu?)Dd&swRONEEnps%mBN
z5K&zi8&>?{B!zDReYQVW;`*$oj1=W{u)WfFan_1eUU$JGwwU)RTEmqF-3rFMF%uAS
zb+M@Dh7WUD1m`?iv*@csEl-bWWM>KCqhtdRP*+(HbmtwEKM;B+3+6y_zxWJR#c)rc
zh4TABNztt6x-vw&BH$y75Km(z_i$&}5)3Xpcbvs1JzgikC8B>*WiN-Lo+GHIdYZGE
z$w!m%IAVcHJYZqfvRM+u?v@lDAUW;$g(mJ(K~iXX%b*86P`AR(96k`}$VR*i;9z@I
zW*eG&H{xT27bY<oe$X(_!l=l={N2}g^ylRE@6kuuL`gB}jipcv_wH_mK_(%2nvMk9
zBJ1TbltD{ugL{u|dqU|S;^_z|kcfAnd4c)E`bJ*<-SYUF2Xevm?{#tbEp~pp=~4f@
zh9Td-wM%Tgfl@Vz?abCE(qMgzWjuYSb+d7m#B~|W5ApO`Ufik2az9kOp{$EY_(cik
zP$T?2%PP#rP&^ooZONvDnrFhL-@S-s!f?Sbp;a}H&FeYiNi}*~ojy;89b+w=YG^Gt
z9W02ETZGdZmG*d$AmbP&tnGN!ZEg2K?;?eSXrJNICvNRA_Z}|4GrHKe7zjd>TKj<i
zbX5OTmx;>wFt<qMAS%;~eAE7x0z-obyb97v%g>c4&tpt;-q1X<D9VZXDnfmb)waM6
zo8h-J6W~`y!iIblR+Zd8l=$(24)Z5&>d_j(ll@Bz$eXsQh&g|r#4{swaPk4+LUdxQ
zWYmn)j+^s#V8gcP)wTcnpRVE;t8YhPU+?me2D>w8%qS{$rGL;tfA~QKP^}c`;iE|8
zKxJtaHJ|}d&;{_C!O6Z1FVRsx1+Xjd9U@#F`}8pD*bc=VBn3_Y{)fwcX=c+nl1<Zi
z-rtp%JpZC2crIHg5k7mPc$mL!x``p`rgwcm;C>QcF`&}<05!kbT~Df3%$JJ;0L|ii
z<V@r5)?E8SGkRI9DGv{jIwTeC^$ztD0$c;Uuzc}R7KIw;Qh#JxL>ryRs@2g`+@qMo
zDzIwqo$YiJrs=vty-KCj+rr0xo6b=1pN_Gq)BH&bd%D%&5^3=`f7ZN5iwM>A@qYfk
za$EeyMV8@|72=4If?gtoOHHRt<4Lk#Jd%v|ZDkGyX&!4#bmu1G*rne-SPC23rnDWj
zE_2x(k=6amI+zitR-+Y*Dr&duk$1lyFdu;vW98;Ddw0ugA?}QCRd4c&sF-8>D)SIv
z9E)WC7K)v!lsJOVnyb`&eA(aoPVo|@Bss0G-5KaqUb27HUViCSUG!leqh>!|E_?Lp
zL`S>XNcX9^mTH9Np%_*^*iSZ|(0#~V(5MrAD*XGMkQ&4E)1!Sj^=tE&l1W;wC-xb~
zw2b?_+)r$5oTLuR8KnQn_V!7dW)^Z$f9Dsdq!r?Yv?HsvN$wC48yH1(&%G%m|9CeO
zeCjzvT<!#)Y#%U7;x6ff9d{d**)9wJdvv!l?jipX*x%5^DgIG%h*xtaCiJ*4@VLz&
zV~HMOr+^F7Bz*(5l(ke~h0kcpa^M;e*u8xS1hJgIs|y5eVc`Nt1tsY?8d1tQ@pw$&
zlQ=k`_5{5#LQRu=TJUdp!m93}=z!JbubR2eo>_~SD?x}yZpxjzwH)?L_Vu{ELI75$
z%A*AuO?LWi)mW9_*mV*{n8c7HJa*1$#NN3PfctrxV?^o0F<f3_l^OGO6W^trm1W+=
zvmhb-#R|W(v@(9Tv-3gxFz2QNB1X@s!|E`Vwno>D>+NbJ(!0UqxA~S`?~le8yJR90
zyG`FkX^l8dyN<&7Y|r;=ebN&4v?vrON~(Wa9&fYuj62x(n^$-0xh|X3K!*H3ZYY${
z_!KM~TANBSN%AoR{Vha)N@|{O)Do|~(#@Sv(OFqhvPcr>g9v0Eh{HToF`|J+))@+N
zRXv~!lc1qAs##e)_Ya`Vwo_RBmsxE{_FKm`1;C(z4hZt6o`P`qsduE!VuI0iCiRgd
zgZ9~^c=?K4nwkrn!?BvH?%UcT9w0**QU_nQ?ds4sp($@dxGl&66Q`}02~noI(Rs^f
zEWBuJg|o>hSJY6-E6lMw8-l4TmQ4aWV^C!GEW+jfKck_>uu>>WxC*#V^70K(0CT|M
zl6o2048SBERPp>P*sFcy+w0RqX~LuB)9$bJCx?R_W%%Uwv-mIqWG=;4?_!j$h#|9q
zjFX>R^5B%cHj!vY;~*~#t4DY5^Ph-Z7y}U9x9}jdqvO#u$m%lmUb^nYVdcvP^oDpm
z9NZ%JpgGSTghMWtO>XdwxqnSlDxBL>>rc`NBPCu~A`-gYSaG1f64PG;FTFRU)sB(O
zz@hd%t*YkvEgG02L9?SQ&6<NB`v?Azc13uYj_I_vQ}R?2*KgXz>t0h(?lp;Rx0?Ft
zHp)0VcNDoYQD%=p{q93jzhk6OJ<^sPDakhWl#I#c$Ey5|u_-JwPH$J*N7cX8_j^}|
zB|&k1X^+wDdre*`Wspr8XG`c?V#{*AY~Ge;(B#jak7e$|GTzN^iI?c*<a8LyY-<aO
zN=!$har5dTRQFX|qmW;7cA%`ow3wu&maF-uQYC2OuqzWoJt~Z~9r^pWwqal8uS1ST
zuw5dT(ovRJ<~LX&n<m4gHg_}Tw4aTF`p(J{Z^V$r(pq%VK5%YV|5i&=%WJ!zZb(17
zj7T};ZjyIdN!#(bHkocZWh+L;_>0orXl5IAYIT2xG97D+b4eUh{{n<?>(4&%B8Ceb
z`X{wei01IKbs-VD)#MS!1LM+piHroeF7nviFXZ|4+jW^2$L9EOd1EE#QnVxc&(Bvk
z^mw<YTP~1?uM1KYt0@P*Y6$1qLu0Mge?PK-bZJmXK7Ocn#a-fUFkm|d(Zb$z%*@v#
zdm&=a#!tNHP?uorh6Q+v#x{wev0ZYdk%l|5GWkrgZdO7+ri{eArwuJqBA5yjM%8WR
z)GU&II<tu>7rev!QdC+y?0>A2r9YTO*NNGJ<-qAs#9$MCfQ+$uN*|H%*6zm|L{?-1
zmdX=kVS+|gd@b|aDmZ*Q)a0RTk**}|<v-1`5FsnNUApZm{ty%mj|Uh>1Dn(KPK8_1
z%IQ>+Y{t8AyFVTgzU0smEUEmaYxU!4rGQ3lJRMrU-P36$@G`i3$0kX?Wqx&;&)CAA
zoz&r4BgZLz52M1PUcT+RQ=*9Za%PR^=W@IUa01OD>XCXne}9?HTd?o88c;V5mm7&l
zc~T^%?<1xFS=fVk1$;<uYZj3Q$5DNfLOnh_Z59(pc&&$_BQNKe7V$0RaGYcbRvTr;
z(*7cxPcH(F(t(Ppj~ry`2XM)kJlb`f>3JPa{?&bKFo-Hq{LZ7{V`ZD)81Gw=HTI6A
z>GC~|uCB;`mDxoBeDTWNRSG<1G&jlw_d2n@MYUh_Psd?_3;h-yZI%Y(s1P2t;lTnh
z+{2CmT1s__2bU*=OCqqs)?S4`1NQS^o<FJ@ukJ)<Q@m9`_euw0Pgk~<u-?-y`{D4>
ziE)n`g|qu1Q#Z3FvI{1A@O6RGi^}WY9>jg;17D<R;#A&JSfW`)8u9+-WShzXn)XHf
zPAJkT_jW*xKf3V1y#-yIOg>_oM}~yPF_(0P%H8kbD2Mu8L+vZfA4kMrf=x&sxHq(i
zMB2UKGgU0vX_)v%M#tKt#mhXMsZYDXPMTg-@?N!X4^o?3a4ecUz26)`B9W4RwS~Ow
zUrB>xDd>8QZ=S6<#kmBhh>-Qp71(-DUvAL6QMxxY57>RvU4&^PV7OSIlQGTbxV}~I
zwRSTwlCfi!ecAj=Viepn(MqHeq6X6XP{Rx|$RNYINHLCqA>Vv?hxd`swl{sTA0PVz
z?<QW^I2Ysf&C7wZ{cRp#_b=r-Ml`_aAav#XZ?vYEbF50fp;QTm9W9M+_L{4TiZ`bg
zAk;aIurY@eou`Hupt~SOfGwzAj^1H|e;`1I^mJgC>J9q0#?>>sz~ORGKnhNwbyO-_
zX|f(@m`ui&rfHzp&-zYaD5}O0!c9HqPd#os_VXFf|Jp#cA6o!(1%k*2GPt|$M9Ept
z=go09W`y7~>Pj2{14MLBpn-n$h5n$0ep?s%5X+N-_Mg@esEOfzm2^x8KndmEJ<37U
z4SALV_p-94RSu_Nq4^_HG6x(T>Q!NDTV6enH6`0Y0Hr;hjF!-1nSsB!o=<M?f7+e7
z(@yOqSM`rfw9aAMqBVPz4FRr#pM*^Mr%I}qXVb%1EdSt1!%uD}Hn3i&Mu9~FVnu*D
zw%{&VYty#`IhG8We_<&|JGg~O5jzBkU^Z<A)Xn(9yXPou*;q!$`|CTCO7QqI6620X
z*WsdvQC-Fk?1z-gHj!dN+L@W2>{hOB`nykUi*(f1f+3cJ?s&iLBACo_WH*;vkWBB8
zmS+moc<iKF!)qcky3ox`zntAL=z6WM9NDhV8jnAO-Q+4U`KFBzD;Mxc7%e3E+=+bu
zJ1LB}Ou>mo+n0GzS&F@?#EDB9EAwvBkEjq|oJhh(Rqu=;MsH$^n^pSrHN!HGlfn=R
zA~*LRMZMQao4cysz$%cEpc<fMR62SLD|uANGuYn&0A~^qD0{ny1Bk0hC=*Dl?}-mu
zd0VA7xW5n0%I{Bfa66qlAuZXcKFwfTY<JY@0!+7R6*7~_E-d~<HNR5G2p%9yQ*SO(
zg#=l%>+`YB@D50mD!awSg{@9cwt%F$VGVrf&#cT~AOnjV=Jg)>G2}mqa*OQ$!tq_i
z)7_|J|JtnMS}u?rIEjBne|L7-3wN&kGpt#3!1faR%H7DlWAnR@3uKvrx>Cry_>dR!
zU|)AKj#WteiC~kW)w6QN(yL+158i`yWYyD-w-pO=zNP{|%zJv}u3|QfF<c|EFY_KZ
zV^{9+C+AmO(oDe|qe;11pF=oyf$I}?kZz~2(8K1cy%*GK!%X7Wx!r4MA^WJU?Q8nC
zLwr1vHFE9vf|cFpL&1h}tloh`>+ELfp+^#;x!cud`xYHSv|mxv5}l1}WAN#$eK<2R
zyo0csTv$-o?!z3JtNU@S-<<=N<6g2_U!zfrckV2mKDkX@w5tf1JzBl_A8j`d-F{P7
zNAH-Nqy+t9Ll5iw`rZO^H6c9{+WP^#zr7G|Pr={sXE@e<jDX*@UOJ3YK%=Gq%EnU`
zCw@6_MgP@i&y;K9IKd6_nzr}uVK+ZvCI@Y8Vt}B|OHgyw+*TnG#g!09fWDkr{J_<%
zdH;59d7LqtvOp_4niM;z7PrPe*X2?MVdL`5;SoLPY)I?TS|x@ySWM2+6%?>pbj05W
z@hGy7X61$E_P=#C;1}>NN$>}MYX6WjcRsdG+p=<C0T3|>39yfD2HMdtY*bc{s(m^r
zE35zqsNe6qG86!HQByOJXET<^Hc)e$+aT*TtW_L_APZK-n~v;p0|oLBijEF0fI%4U
z?3vn7bmChf+NKrk!k5H?liS9MSlA;gM_{MDv&vxc8G4Zt#vAd`lc&bSM{Vv?7)AGL
zrJ4)BZCTulOlA9?j2|*UJ$$bdcH_{4MyYi@FzqkS<@^$Z#E=9_swDgwktulkaQO#J
z?l)?2)5RF_EDtLS=dx^3>XK}A&uQ6dX-wX~PsTIJGGS2c<MyP<-?Zg?trKF0jT<=*
z8*6_RTn<34-p8Y|{YeY??eKTqhAhe3Y2zKJ&~l|kPm;8%d9udHY$jCQWZ%mzUD*Xq
zHMfU7os4GNUu9Qttj4CRDq)kOh8DOX_L;CruSQ`I#-hJb)Awmf95Mx>$w#H-)AGnA
zjQU(({UkHzsd`1I(%{*2ntcR-&Mqq}Jh<azC~iB{h}umSXQ0UkISc+KbLvx6U_0j*
z3oM$@L&5xaz8{yi(Tu9eF0(@dZ+P~-F2=YvLCaaBM$&0=ptiC)U4;fUlXwm)Rdjbf
z5d~8JfO16tfIO?CUJXM}C7~ChA03nf!YC_-bXcdgn6t(XvrDpfItGBYnz@7@`C;Zv
zi+{ws1IJtWR=Mv_sdv6bR~Z1I5A~PDzzcleu<>B!^(W@<;edQx@N;W=0i5$r5)8t2
zzmNk@p#g2({N=_B0$iS@SQ`g`Z3B>!@VO=roTHbP>y!@foeZiETS9JM9AP^e2u^Re
z#8etw?)zFN3YmF%-su%>UNt;j1L`t-5#Ohj=YCKnyp`|$==RYFOk+JVv<?7o)2Kk|
zJ*~Iyv!ly^Phm5e*m{+x0aKD;vscokAOPJ$(50ZTCPnm7sq<e%GQo34<_Ys-Ry{cT
zPTfs-mq@0cnSDqOm4d4P_h8V$@h|#oErVc^@Me|En;EdDR`hL7YZ}EVY>(pTdaH<$
zFr07BS38}p(k?8+nQ-Y7wazvmQS-i~&sDoplQV13w<5J`;D-P(3(#kBi`Qt^@h;jP
z|0drno}gZ(Ak{age_;Bytg{onN<XRV$L3Gw!%|tkB3xNw)(KqnL@#u!TPys)FSzY|
z0ig#vJiTwqxEOc2*B!5nj^xX4dntwO<+gFLGTioG7!W>Hv7Upij5oH<qsGu6%}pgO
z5K+liXjuxSBbjUiR~v7b4Bt5?$yvTirb&-@?l3z6*={k@gqPBvTlETgE0B)QkBM&V
zua6Vmf46us^gq58PL~M0>cE8s{@hBj{0Lm*GLfzfVL)H`Ph6Q22Y&<vUHej0d%Rd4
zuD}#}=AxWqbUO%s*YK=#DTJ@sy?UGj6?asZqBFc;PGDKkT*SNL^7Ya718{fmBP`BF
zWaD8a$wQF3rhvrBufXBfW@NYD25aW(Ii7#oNTh0YO4iRqGCi}W?Revldu$-;Y!X<_
z3Xp4PVw?rGJ0Q!&&x<LIzV3tAz;8URwku|M4YKG-BMQQCuUcbGeDRD3E|aa!SOtHv
zm)-X8qv`e~Ews7(c-fT<=`+5+w^^D)G8$GFOLFIT36fDJidp}(#GDr=3wC|WF=bO;
zJDh^7GY|8aceZC>`%1VAJP(P*y2M)}UK=E-V4<r8<Fb+`27$Fqt4fx}&-?9-Bl?NZ
z^*9XTYuZidtKXTB0Qq!u@O)Q_TghWlp+eEY*px1gVPuzUhz`q09*5^Hy|M}&9v#NX
z68OWpY|m)IlNTDP1X&^l>(4*QuNX-Q(jlItm0tf>7k!ksL_2a*haMS^axQ>ZA$3dL
z8Ri4z*JgBBu_<+PoT4xUf@#m{H}+O#U{JUFl?0dr!#$_X{aADWvMM@?LtKPyLip?f
zQlVBUyg7oEfu&#Nk%mAsQ0<NO+eGw5M`7O<!52qxc`>g_(Z5|Ru$ev5mfiXsyONt{
zGiMP$#5#spkN?WT`Qx`eZOlzuLwROie@_DCuaMpa=+HX@Pl*OOBM;#5&>ZO5@N|vY
z2XU28sQj>Sdt;D2uwvjTPXh(Ya<>U2Pj#;Jw>@fKI3+A6VLp^?$4HNDb>$|9Ns)L+
z$}XR)CMYk3(V#s;eOZN_!Xg?pT+2~oXyWb4ru}93TZTS5BfjbU;8NDYQpNf#;Bh!L
zpub`!Pc%Lj94yZNFzk58jLa1A;Lv9C;zar6)u2+>XtRxV>l9#U#6Z2rX$yJob*Sx>
z`omJ5A1MFpt{NoF`#(~9c`K=uf6a-D=(5E#KJNuaQKm*7tP%|O(QvuE+BP&ML4s{g
z%{4IK6KIv0Mr||LssM_8WzASg5bnUwzm8Laj;O)`18y4eWjCDH09gA29f|R!@+&%d
z|7%0vJ?WMs9NnnK@ubc=L<3;7APMlCehV#h!Js!IiTl6n#0U3EwGO;8<u(vfJ9+Mz
za?hsiWeXAvHj48j#K#He$$3NSi`+qO%R2C)u(d0$ehhLE3t|b$*g1>hon%006${cH
zfl#=XX}<T~Z-8skPzgKFL<oI<Mhwm;CRH~K83js}*ZniB=$lTBnDBz9U^$QQiFa`_
z{J7YI8VhD$1&o{YO|u4j1=mp76dMDT*P1$P9{@L+bA%?4>x#Q|!57wnGiHwq={K5=
z84W&Au&x-@8?wf#X?Xo0FB_9v{@H-ygvhQ?Y$24W2mqD8tv^;A+Ob_3?2sH$T`YTC
znmh3oVp`YbxB&i3-#E0nKN<D;z{Fj$Z2a&f70(x9>$fyjEhV9jI9@{sQ)B|3?t^Fj
zcIT)@QR^&SR_i0-sh;t^`qn3|)WmuV<^5rtpnYH6ceYL_b>hZxH|Ib#!O&NMOu_D|
zEr3e6>5=lUw*Ta{u<CHdj{ntqCp$cqM2#HLAv*a(d1r|>+Ug5l|C>yf_(wG0QdA`$
zv)JJP{b>vR8JGTtTPWb8T|dqL(~=dzX-+ACK&bK+3_^ClkOH&kq^;0wONy}Kx9|OS
zDQf6YIl052cNbxGfOY*4&tB+Y@hm-vx41ab-Bghqe9^O0zGfBCcLm_}%0PjHCgs(v
zv^LMd^D8;FtF{3Z?)Fo}a$74`&408)CeO8>8*cD#@^gg411FBYqKUw7MO7?Ws;|D^
zhC4&6008$-k|B90W}pxtcH$>3pARRaZVQQ|4u$uc_-)nQO7d?!YitM(0%e^meVdn)
zhwU7LOzi#;8Yk@^*7UKK?h`-pT?g1M^8><xX12-o8Tyt=Fd^pXo^R*qIX4-Y{Br$Y
zz4>jF1-)1F^F5(?D13bY&!jQ7CR`Ba{Uamz0a~;BGf-My^YT_RyLx?bbcg%^pQqHe
zw&udxjgz2WbHs5C=^UB)hVXrRkQ36UH9?HTSHzv7XL>+SgwAzgcdlbRt576!kx1yG
zQ68G)&bX6A`{6hv7H(l@FWroy=4S0<LqLjwJaaYxTbROe2R!R3>-ACnE(q3!&}RTk
zijG?T=lNKctqD!UYTBzq@vE?{o}I<k&oGHDi1+}&97Cf(*6wzth-{k72fctEwBM<F
z*trBV_6Fs{?W~QvwfDEpnvk53Aio9^BKJ?Xfdq%o@u1Z_gv|A=Cz|8afD<BJZQJ`M
zN}&2j8DYNLH5Q0XIkJc`5KgiG_;4Oy(xLL_a33+WV}0y1x$sEH_%#Y3A@DJt@4N7K
zS`PR7VG-{WCuDg35?gYo_|q%8pOgyn-b7o%HwpP$q;gYJI36N+71G+hFK=Dp^hK`0
z?YQ}~%7F|?DN~;GPWiua!g=Bhlo*4`;#xW8?h2re6(P`8!J5He>(`j^sJ{r5NQK#I
zUqPeXQ@U9O3YLARzb9((NhCM`7&xrn0*R+U9Pv7z_O+O<BY17J(eLMCS_G#<#%Orn
zQXNl1!po2q%T{i1>mstWI^u7gGFAdo2k0<PEuBG@QYBw@7xW{OK*wh7o?(X1ZKdf5
z|31|Z3KC;tuCH$g_*KQm-=w0(y{8kj#>;3%ny3BTcwJ8_{r{O?5%7TCLYs}&y-pOK
zfVzgr<&%0`TZH`@E~FI;ItrX4^sLPRGAaR3e)|7$!aB^;UAAI(`asPhZWsc|bY%3(
zBVW+Lr;<!iAjj%mQ>%l=Fqhua-Gh&pHLsek)9=fkr>l#SSIso5D&G0I<ud$J>~^ZV
zaFeselh4X2;sBi&m>z0(cl<WuZ1z{DP0#Jure|EQ%dL(XTbKCA_44&ZFsRNf5-35F
z%oLy71UP;o3JwJWe=mK~<cM?3&6mU%C7q!e2W!bZdO|pM-a}Z>{wh!R^P%nDWU$>k
zeuoIMukLtNLo54|Dl{p~1@~&B4&f==wfK#IudIsE;hbxSK))5{XdVUsV3)d<_YeJt
zM#yOI#I4hOo-0EqEJN`OLq(nczZ%Gd)fYu=kb8K!I;4zTiP}-K_fnAT=5ta-a&qvm
z3}nXZ6Hr2O_nG1=T0pDMTGt2QNvZ8=QGAUSH^4G5$Rc?Y(35BA45^}x{kwjEmCV|l
z_=py^zeu^gG4EdmBqc7p_OtWZfNk1LiGI@p$1#RS-?d4pbq(ZSS&o&Zj5}$^01*e|
zHjWK>dbrnPRrC34m{;|QcjR#)3Gnk7zo@I9cm~WH@^7A<R+Pl!Li|(n@Z&?uQ}co-
zVyZ6~aCw_`d2;v#=1$1*WivAF{^hu+aGk?x>B})2zls;bP0InT99P!fEvH34x{s_B
zyi`1HMcRb1UY5qgWyBXO<O#DBmdXtE@8cy7I&-N253Qd3t!f8g%f^XuV3rb`yd`i;
z5kj5%>wc>piwRW8FDNDuI(Q~?ZQ}cyAS1-<k5}Wj6L~#U8*xbARh=|JJefC-f*uhf
z!v#K;f<@n0#ZBLgC)E48q6$fODY~>202`v41S&x0C{)atC|ngj^QNez@y0pv^kKAv
zR{DR#t+>!j0(SR_&{&!J1ADbfC^0MOHBd}KUHW{up3CA8S;>wNRp!eAs_M16n6>^A
z96j0(yu2jJxmMEw4~=iJgo*mO*c;HmCewGGqg*GR`4+oUOA?w{GoFRbr>bF;4)Qlc
zadS#c>TD%pqy@X$qNLokZw?5B+Q06n8dz9=r?S~|@7UI>7%lOe)L9-8sb1X80G<_f
zTogz%5TuL}m=Xp=D(X)PqmFmSx`DtK^*iX@3!sNl?f*2V#Di_T0RSJ6t+2-n)WqS2
zwW4s*OM~l}ix&i#Vp$f!j&LGheK0!iv9EQgs`<|jA&#qY9dhisY+gNt+)<y}4}+4@
zWJ3yuWi4mrA_RVk`I}lpEdK!Ob4<pMtSs)Ppm=;jFM*yk#=tM}PvPScC$5Eo)h$r}
z(g+WO1j}NO;ATyL?|JAg;5P%_7u-_p`c$=n@ak^&VSmR*gII>nZjmdoUd?oYh3FNL
zDdA7~$L)z2A)FQf+8eZk7z5@h23Qb8ksTtj$i8E&36W7%RA1v5CLN<0f8{D<3gnzE
zdSk;D8#|Jj7?B3tVVV3GSr3~oA_SQ09+uTFdc;com1Apa9LpikhNj$6l=8oY65q`z
zqXQb~OhkTta}$8@^6fXzz0_DOOX495A1Uw!z3pxmyY^%sAwA6`U+WwrIUOOdO5}~E
zsf(lRA75hS#(D7VKOt@(E8QWLMHBnapbETNPoH`VH_JgmI~w*e>ln;ve1;4jbWlYg
zh8J-hOtr-epRrJKPR2Fx6x<91tsy-#D84UX;B80n-5GP<yd2_m_m$GJIoI|($EO9B
z8>N*K#a&tKxkLi4Od%Efo_D_{x6bg#`;B_yKdF6rH_6gK=7z%K$@mAU5ut`3g1!;n
z&XqOXL;`q>k5;3t6c-G1t1>Sb-f%ovegPg<_>sSFACWF5v}j!I4Jja2CEAK`KXI3n
zSXS{ZhBMLCKV?3`GXR4*Mx0Uz=SROGuR&V|e6u+*9AIU@(?$*qplX|;$A5&wLWBSb
zNu7K6WY}VTfy}DLzO8^_oCu64EjUl=)fTkn^fFY@u*{_Y79c!_b&n{I#`|YMc!8ms
z)%!}*bp(#^Ufgz!k5kp@x2P`c<%}Ae1)&yv`&|_IF=%t!<eCnR*agmA8I}WOs1poG
zTt#uuHRdqtSa=0(Y4fO-+7`NVd|ViQW-hJ7;SRnM1LMB|+Pzol+GzUoXO3-1179(g
zb)L-B?1glH!GpO+JNg71V^jTPfUTe_v4S2iJ%W8w_xTo7?m}AdeTs#>eqTx$h)ZUt
z>1Tfymv7Kd2MhNxntRe%hc1cV&lizKri^|}O8=++9C2h!C8Wkjz&P6{NQv<~7Gtcd
zd0IG_!P3GKlK@Dn=?47$^TE$tdS-;*ec6`;>pI~NeCp&D9()B}tlX>ceWpZ42hZPQ
z45AU#-<a-x5(Ef1G|Ta<uOdG;02#ibpM`%u&qpn+5Fb5DcC9!q0)4iwZa09EfXj19
z<WR<{D!8PrA?uMF<mcgi#`G6es*F{_Ej7v_z04ZIq;EP4iSbEy=ZpSAma$Vrjwp$V
zjz-9<#bnL*kw%}+FLDOyN~Nba(J@sn5Tr;0Fbp0f_5YOELq_<+hYdidGgF7&(nCF-
z_1U__W2$`MW3%emQ_5_24gd+|HR*LT)2=*yFX7Vzoq`(Zaptl=KyCO<_>$~Dn$0n3
z-nN^fe4No)!zn#*8dioS;kyNKuJ8;iJ8b}e9J2yAmkQ$=>1d;(Q4T472kdMX*Q>U|
zT=k(%Ut~#NN%jR0rwJ%6$HRlYDk--v=SUr@HWArkz-jRzQpm}ZFPsRrPugZ+45(p$
zFBSj%dA(Cfe;<xHO=j3po{PmQ!1;uyt8`!OaI&T!Jt~5Ui8ZpklUY5tn4d7Z-JCWz
zKw7zW#+*D<)0)Ebi3FYCgI@5s6=f%3g(2YfEJ{P9manz~VjLDdzpn&P!3t3CFoh+4
z%?p=%>JT0UOL%i_L$8fq-OS{M0=CqsdzXMXz|ZU#-#k0c`KU(*worbc^rHXgT8+Ny
zy6a5b$`XgE6>=V-pKdY0DIKs%9-vqDXENI_Qv!C9J*wf`d+xy6Pb<aGlJ+ZK8uj!H
zvGJ7(CX?Z_1)#$wTpTt%@7$B*tF4ZiiQt$lr|!+ZVB%H}fI_DrQ6`dyH{=`;9SZKT
z#(wo_{nnL>Y50%b?LsV-Bgrd4CO;BA#F_PyC+~g8L0)=DC5oyhZglRsjp3D%v09+e
zryvsy5^sMbhz;d4CkM`+nZ!O@l;-<X{l4MS`(GWJ<#f>2iAoHiuGrohinAD2-op{t
zA<0qcK^yqiO1;KrBn1oT3)8<0@XdLN<u;!iB+(tw5c(PO-;dP2MB?%()AOs70%kdw
zyavz=UF@?=&clOVL5qWJ<KfpU6c=mTb0({?Z5ckU*zO$TZanw~0Ajy7+z*BVh<*oX
zXX(dw2<{f=KuT4;x6GN`e(_ngU{yaUL^&<|9db1zie&{8fX~ox$m77}$xh7;36Jdf
zj%=@tazZRo@iK6=JYHOTd)<YIc<Z_qU!GH2Dctw-&@UA97bT;+v7c&BHAg$@vh8j+
z3MjH|t<8x(HW@!H72CUa*L}q%!27rzRFW^ZypE&VZ%XCX>~fBGuGQ%f@@>~;@l6uv
zrzZ^1o%uZi@Hy)dMbEm)YrU1m9l96-@?&bYnd44=J1qN`7apKoo%s}tk2(68{+(J$
zPp3Q1i8{~z5>QU_qX_W`J|Qkh`2LvT<ly>kgP>FP;${CUAV&O(spr*{UmS!30btki
zO$GTkat_z0+6Mn%qa5T8ep%pRq&Db=Cd+Whpn0K5$t!A+85M2Q2A4?fBf-`Oo0Cok
z&{pvEeN90qN=K#DTrWtID&{t2wzcH|kQ6+W(CizRz=qJ_*`HhIuMJk*!F7FoWgcB+
z*3YRa0z8;4ARwXHM{Az&6ZPSIfXlz!$fA}HKHjoY;z&F`^)y$=47t_2YK|hFXYqJV
zdJe=TW?EMtYTC|U^PD}VEObOM7m5t`P0f|gUm%TGBN0<!Mlm46n2Du<bITJHmoI8y
z)?4)3gB3?_I3bcgqio)8W4fVqvp7XM3ir8uwoI&8cxASVO@DS@(nK3Sd|#P%a5z06
zZC|q)iE5tdEldW&JXvsbL6&^}B;%>_gKauKha4aLY9+?c(0nsGGO8Mu_!gH7D$|VG
zb<nX+azugg6`4Xr=$~ctlPM4;D?ic8wb^KGC3HA^N!eC#Q~UB8JCXK0EpjBNZwlEP
zqoOS+c@nU2Sg`c!_-)sP`y)Us%r6LMS1Jlx`3Z1g`na%O3OcAZy8Cu*%yHptUj|;6
zT&(6yLT1AW-D?AXpm1Jg9Gf$g@iheU;GP1wjBce5!qb(J8O5_6c-0s`BG?m<j&g$g
z*!eprMF`N?HrssqIlg(#`&6p-O>BvCJ$?A?!ZL32mo_1|b{1o5JnQdvkeETJju$x=
zG^)Cc#OY@&P)v)HBHgcDKqSUmD@GXEfC`nGg*^k?ys0%_yFp!YE$?|n`c(g1EPDIJ
zjBVV0bovDn@1A`#Wpn*F%DWqZk;IJ_K)L{#&!iNc!ABGjufA15NB^%2k;Z;XvhEH+
z`u%Fl%CSN#L4V(ftrq<HhV^tA`1M4VP}?_7{_=+56;WKYfqBk4MCRf9P|u>~+Tl}T
zwzG7^gWiRU(nO<e!Bkfqv$ofd%SKFzQIcDefNEB1OI$G){r0GpzKU*s$vDBDZ7o<i
z{j2FRg4Oz{;Qt}&t)rsgzNldV>24%N1f&t9q(nqY;vuC&I;97YPC>d`RFLkTp}UdJ
zp*x0<uJ_{aeZTJ?bfL?&yqtT_+57ChXKvvw<kWC=5EY2hi#AZevVdg#L!jHe4GiiB
zj@8Nk&`d%31P-Vg8(0Ij6<nzesz+7YgjwqCpDHC*d4)j%xzy{XIqxa1&lZEY9$q;s
z^;S2uPjur?#osh-K<+v#QBToc#KhnvX69ZdFdxZN)fqmZ43^(Pm16MsC|`<Dq{W{~
z?x{JsNJu^)bL{7mK<~O&LX>R|p2>K^@`Z87apC6U<ZfnGmu34&UE_D;-Slyb-W@dG
zuIMFRZWPw^Mi0JdowflicIcFT88LIHq~8M5gBlPtES{&dobiw%>14Kp0)9B80^Jj{
zNx7G6B|*I}z#)#yj`a}?QkmG^CxrH%%~LWec-~F8t0*z6B)-~9m7U7HKEUtVed0`C
z5mG)}3(Ue7GMT6wQ4(ZT>&`iYqk^BS-L5uF3}3BMfWE{}sGqC*6vpK}!Mm(b5|)Gk
zt~X#rK7lpd!|xw-Gbx7$=A;j2iTtV(RTro@eVwvG#M^k&-8B))S=Pzh1!H%$YzbN8
z8HTTQJz?L=e~c78N4<60>P|wKX}FW^$~n`ok^^>8HUzwjSkK$RfdQ5ErzE!N1WHeC
z;5h+(MdgRq@NNEMn_3y3GN-id&7av@u(HiVBz+|!UKPQH(=d~O$Ro~It7|&n68OJn
z2x8KW%uQzs^8BmBUntobBg3TM+fT-tvORfGIL>{FD&&BeYPEjQR8EiUqgMp-HEWb)
zc`4y$K|T){yGjuCHZHTdH<1q$y8Ut&6U~u3_w<vYkI(GXUhJ*7E?pWzRI|7|F<Ug)
zZ`5gz3a7O%579FYcL0#hJUkwbJ`L1dq}9)O1Gg=JWaZXGxFPZcgaN{`T^$r$Ug&!O
zR`K6AzLKN!<q3iBYxH>fc$<hH+R6E+)-u4ZG2MA1-Q03?>_VMslc`|)G&S?h-tYKn
zN`x<E^?L7b&z!S$ku2Zhu4n0S*1m?u>rN(zD4F0cjci#_*s@%Z_&ooSIA|NK7xb==
zbg)!}B^sxbrvtXBBZnCHTigM&{|Rmcs3Z1Qt8a#U<sc!V=T!^P`KdUZ<xW54NQZ?z
z>Rx_3sWzP#Nj{dFfo|=kOm95SM$drI9neAB-?wVF&DA>dce$(lFI>d_8jd2WBDFb0
z70l<F%*@$Qak<xND>LXDv{=~^`~FLNQ&vHlzD8~PN`00c&<#ML=#|Y}XPR!4i&S^=
zQ2<tTuu(o?#~w>y+l&#K)Lt@j1-pRIpH`tGjMb_w9>cFxche7dP>*-Q4ojd9Q`7%A
z?SIu*FAEu41>b=B7}M1aw-cx71?*XGXVe=kTrXq+oqvJSUCG(S{l~t@p3hpXB@Bwy
z>2!bb%B_(^vNn(2AyE_R!KY*4u;tbIpjVl)&(;IIzrIB`1=f+~MV}P6a-g6;Y4scM
z;Rd(1zm1pdoAUcw`6iPc%H4Nx*5DVK#_%-^b~BOVCw6y7sM47x>=p4ZNp*&nu&fph
zHkz^i-BuaP5j^%1IYMqCecUsbQto0;jVZ6zGM_%gmXGUomZZ3b7S-J!NJ)>b_V^<i
zfnl5+?an<DN&h82MNjuxClpF=h0Da_xAn-OWjRH;@<2Z0vLw40H?=Bnw7zN-S9+1B
z^YUP{fr`1zfr}gB4d^@4?JJ@dPMymZcL+Ykvfjxruqw?96JW!%PekMUO@Sa<7TpTe
zWR3>+o6<j3RS}XBdPpnSmX`kjeT2!CY-snK7MgME2On6LA(y@ouJj8%y<R#irF8?5
zYvz+D-_Qywv~shAkq~#DcM9Xx)Zv@dj<eV;<c`?w(H}451649)f2EJeb$Gd%`R+fv
zbKRaN49}L~xp*7JCyWkGrSBWTD*svS3;K}Q?bM$U895j|{q}JwF>P#@hPot@@?d|0
zMcEf~SmE_Fc%t$*ccGTf84z88;$zV{oeLD;=X%P*qngtou!Gkn!m8-PRXm)XME1g}
zgSYt@(&5$oX+Zm4RaI7=PgxJXMiu2&6Hm^UeEgh&(z}{|ILM44%Ui=0&U){Z=e4xG
z4_G0Ay_>*u)XE4aUVG}H;1y<>72;>3>u~tRD&1!UElE$BI}Dm~$hp(fb?srxxl4}-
zce|=RI!Hato$7jc2}?^bxg_8LDxGO8ZH4GP!bB7kC~FI#g+Dp=2K3hBV>3@u1fEO3
zD2Af`)Cdj!8+|7Bo&6IWExOZNd#81<iUIRGb&0Un^k@EIn+rAma`~^oY_h4Dd5HGJ
z8FA$<SV<S;O7Y*_+h;Kq`mLeY6W24J6tX_~er(b;bD8a_e-CamTPXF6Z@qbjaxAuF
z1}GWrLiWss)id}1f>dhyhk~$7JKNLjUn+8Z3sl1zu={!lymX+fv1er!I7;%%)RK7-
z?!=klQ%hDG+1cIvza095`M<~$4u|`Qf)93t3VHoJQgo8q4SLqwqWE@t8$Ere$F#0x
z=nHq(6ML{CjEp_Bc?r0IP3`8US0l$`&gUjA<sHykjW#iOFRH!YS`z-Lp<vqmV1xf}
z$u#=XN0Xk+Fv|c~N;ec*ag@sel3N1>GC)n1miVWh%Rnm89t8Fc{z|d_u$eax3x78m
zh$>kA6O5-j_5g-TNDi_|BTJxPv!Rb!YW@PVZ4M#C9ZfFI3O}p&Jv(y`wyO_D*Dd2-
za(orF&|{r<;f4DdE<T>Y9!-z^0?@og+b2MNQRp_(9!}$GxDercaT<zl26@ktoA9m=
zv;6iA_X_xr#BwEN*p&3uQYclcsVEAA(*6GK9WS);x=6{Tjv_+byOUP;t9uedpBSsq
z4P|Lnz>yLJ`ZFT;Z6#s1VhHS<d-|~`?8!a<!&$$3mLt*p)lEn$h@Rwy$44gyZd0PK
zgY*e0VHD<Xvc9~2l5E>f`;9;=Qpb8T>C+w1f7WK5-JaZ?TBYgQyew0V5tmo~gMFY^
zW5|L!RH*Ht9#<Me<);wjD3zU4Rdm|cDXi&9>#TGYasgcu92W5iOF)Bv78%ge>6GV(
z-&P-$4Cdeh{&n!x+63RSLOp0o4}v;qX`n!Lv;ZlPP*5SjQ38B41HpgxPe(a}<W7vi
zB@#>4mZqzG;>r)tAcPmy9vy$#$kuT>zZQ|KZEUaA-HQ`O)5Sa3clqo2{&PlfR_Q$$
z<p06?_?ykz9BC8POjNUwOv@7R8G;0XFF)YRtyRQ6^rn~YOqo#+yHQM)RKPo{-u?OD
z^H7sxM4!HmVdD{MU*y}g{gUuLLoSp!?>OK^7Zi34kcLRIoD^@zj=y`Sx(S)G>WFe@
zBC&Y$4-rLf31A|u#w&m1w{`}aMB2^t-^vJ)2KL32oK?#ck_QV_>P*OEgHN?{Axz#g
z<I)O)z_O(o4m^RLGC}>yb9IyZKf2ftEd${t`VL)fiqVIh6-#e<A$~Ke4`nU#x!AnG
zybsZWAMA87(<MpS!)7){xV*ryHX*6(#0hW^phYDi_;$)CKzXWL`EUK2hAlA&Sne5V
zh@0K2!pr3aPas&-FVV5XFgZB)wM@bk7xFxe^b9oTyPw}|>OO!w;+_x9mu_3WR`XnO
zs|Ma#nvj@L50oqntGpWdIIi@5!bN~E6E^wLe|l30E_|m~AYx&D&LbnQ)6(KuwCz+A
zZb4m_dV~+21V^oD*KV>6P1?==A9+I;R}1VP<ik-ve<Z?Xk?sBYWX?Iwvow!-#(B`e
zi*Z0HY)d!vANiU7$DT<4d6|E7Tj8WA_Y8Y_GUOYM<{LP{`DH~V_TD~jKBqQeT9JYa
z*+j!U>Ru+k0@5MPeqOn@oHpyr(I>;<{CsE6P!m7sM$0;aWy<$#m<*3vmG{K-qN7uT
z`B^nFed+O$nBD3G^D=G;fNTF&)c@K!l*~@(Hjupb{r{UT=P-((R${#7&~tZEgmUw)
z7}uJVJYwWg>6U4Q=pL``J(?gQh<L9?xul0z@-cz%rag7t)v@T~3kxSgUhg1)?na-1
z5a2SRGoZ1S!ZjDSeywT3BJ8n#qKTNs^NZr`K<<B;6U#G3mjFDZkt@9+S$#|c%md(~
zYqFxO;@-#B%v5Mfyl-qU-=#pXR<uCNPJU2&qBKcy?{vHH+^PfBB)HddA>Lr{duMnT
zQK$J#dE<IzY6gr0A(dmJb03d~Q{VPjagNC_!svdqd;p|Ig1Qy04Hd-Wy0;LMn@M`3
zT86T^>Hx3U6D(!qKPd0*YU4qt86JIXZ>helBzSYnw5KuHPZ_nJYJJ%#k6PhWzqGu7
z_J9a^8gDew{&{d&^4#qM-I%Ha&)=Z)?E<X$22SGy&ydvDt3ApcZ1?;OSS6eX>EsM6
z{M``LKJXkRT63-oD*bP{>0lzTyihzH<=XFcKbv=oSj@Wrg?9sMZhn+rn+I2W{$#ex
z)Bol0T#v{Y53X6PjL^@CJapFjPhzfQ8RlZD><K3?{YC-Pz_wF_?|Kx86ZC8zu*H<W
zf@*APRYz4g-ZOy#vm??XilxtjxGR10&b)T|31Ki@W|K!IdAz6Of8uzaW;fV?8hyC@
zXr|N~-tWYWj@P^Nvse))K7*iTISUF8HYxyt7WVVxcCH<cF!t|X!U;FaNM!(d;V<gX
zwCIoa3A}=%lOrO3+oR9nUk(X{_qBqei3MuTONyZ1`I2?Kk|q;ATON)cL-)=GQ`uS%
z`)LWO$q)x2wE`zLZoJD2@UAq)Hn3B$ah-cGzIOvRfF?TNHWl?73H5=c5U7^4d(!#?
z-JWx&ss;)m9WzNlW>P(?z&!`Oev`UxWYhK4y!CaKy&Sl;58h>;FD|S~theJfA0r#`
z?IYjyNl4&*#3}e*u)p!Pe&r&e?`=ISSAJ!K4}S%}E;<SVz~lem_U{f?i3EPxL0b08
z*U;$_mR~AMYePCD;hecl#~dFxzAc>rh@`~G@cf0!JKldFM=1A0+&sQD<6e89`Eq$@
zx1`9<;~}fM{6x{?<Ani~`z06i5a(Se5UcvSF{=9MX1km^*62j;H)7%~4pR<SShqyJ
zENpjiTb_F2dWx==Wa~airJWTe{Zd-QVxjZgG|N_KATz^Y*-a?$v`Oo{LgzD5`&(Cy
zqqeAeAk@lyxWsP4ZP)Cg(Np(lEQIh|-+zoSZ73@MiTVDpUO=x0!Om}mflj;p$nF_z
z8_TL`^~tj~w((6@!?F|G%>8*`;g6=)BD!un_v18N7Ti2Wc=SwUL_3Tzj_(RE@wy%#
z48ezzK6IxxnULRgst5^};=P}r9s$CoeQM)(5Kwce>&>r5p1o%R>xhm#vrr{vS>rUU
zWp!ft=}Bafjz`@>z<9~^mjaVZ2i=e7f7q}{v&-lJFUN#MT6e3q6P;dL2rIjfy56I%
z{d}g*zRU@>I|uL2;ZT=TuKZP|=W5n@RN^P9V!>}5ubQpfN*m%b(51?ea4OEXki3)W
zA@-MP$AdUiM>~r+SI>ES1vx#r*wgpM5x;b2EyJ^tzuzF?Ht;+`tN>zAYWg%sC?inw
z98l%8M>}}ODx~&inD)6~5dn%#Y=j?F9o!iV?8%2jYYOl2UhJO&`Eu};NC3(~t99hT
z;zXv1n&*#c<DR&0ANji#hbBI^4Hy`K<<+ZDr5(fj<4j<ijMBgR0U-14)faj9xxoFT
z2=~C|I;M+Ro_`CSNqONx8%8n<H|;-$vF7~aGn8dN++5o6S5rK<5?VsdCXiRJ`#bAG
zO#2XTT>t-(QMgaA@iv-Zwc%xs*5HGqO%vsds9+{TS?PttTM@k((l2X=ck^PC|5@_U
zHR@*nJ=10#ndn!|P}rj+==hn5ZCZ7kdd%+Yt1#7Uw`afY>9{*n=&-f99w<<^(e+mU
z)eY8JLG&VD?at2N+qP>n-etY#ZE1S^@S^81mf?q2>~+tzNme1`K?kbU36*S1bL>e=
z0Q)d?o(DOA8{*+B5QG+@x1~|9DS-R||HI?g3ylQuwTe{U2;*}p6wbPRCor@`BApvH
zo9A`T+{!L|ZGQvF&O&A9pc31ec^=~^2O5KyCnIuYQ`%K3U~pvRIiQJLmiajEZ>jHw
z!fX1zJvevcPvxG%P=@U=&#Z2a3P;c))sZ(BgqPRtktojBCb)uBFAfGCokfKU{6jBb
z-0pida7(d#ilsrd!aMSrHMIpQ(lA4=on@f)iS2@ZR0x^)qJGd-f6!e+zcX<r6+W^G
zc&?3X>jb^TW|^FkQ2L~Gtv)dM(J!j>*@f3#JU0B4S^tf}@Ka2ERj#}h)i$-m;`w7b
z$NsX>fx@H1gP%N6ZuMk*0Ppd`LE=IY&V#$vluP8hEx4bmsS`IQ;<hmK;KKv9HPO02
z0mf(nKsX9fJ*;~try<pW<OjKfK(*ZlJ^#M3hQZY~!mgUN>)mXAQ8U-tL3X8g-b}T3
zA-T{iS<NVDh2=^iHk+cmK@Svhp~m;e_6&W<b0{JoDF%}+gGBHV4;K5vebk>1W`mNz
zV3Kl?>ZKM@qW9RG(hD~%_-0YhtG(vy3{E%Ssz_uMBZ;uj7mmJ!2U(ZAzj?Ud56F?l
zG<A~+iy^7nEk)zmQnVCr=|`jnhvk!i5b`oE;q0&q-Y4Qd)YMHs+BK!xZTJM<r;2z9
zd2DVgO`-V+&YkfMxW};qY*`<d^jjb;;xbVsS0umcJN!{EYi!I{Q5Bn)>6RsT8yg8}
zV`m`7!<b^nEol)t-3@NEPS_s#{-7WnwGDbO3eFIbTpTD6Au;HrWx1-r0rGa%7XBUM
z1mm(-yl`NWf2vdBp^EZ}w>xC)$@rc^U)RGKE`UUgsw3oy3@Yl+xVLM;-_2?cbM{9O
z){#Ccn*N*nD}i)z_`Kdm52MS|ycyJ!CUFw%N9teQ75Ozu`@5R;c}V+6BTyED>ay^d
zy^DyppT@{+M;k!*^xf6i6MjN#-taVf+~dr(zw~^*%}Z9(Es4+dbQRa&#E^;^hIU4l
zbX9st3bR@4ISWg<`+u-R>4|g$W?R0+R@X!q&+1kL83OH-9KO9p#wM54e0G_&RQ03M
zVD;ldLHC3z^H(?iYIps>4;12=>p^*~qi7&HJQOK7u-@2s8kVJr!Jzzf`pJG{Z1#`S
zw(|gSxcBHTuBf(mGZ)LC$1_;TJ|@?(2H*`x{vl`kD@;Ut1`&My_slzp3k4u*|1YoD
zpq>@N1wlHkSpUQ^0Y(v8eL?)%c%!FAFJ3E23_e#muwW$fwVb2+EERQs?fUx^=swC3
zO@^AgfY<Z99jYc;CBJ_8QD~J8m=R4Ixry~T?t&fql`iX^32XKy_2-hs+aT58F_-ni
zP!EnYe$p~V2<;#~*GS%`+q|%N0rCc(efQ?I0}_OXnPgqABRBQ!Tt=EL@wZy^|N4zI
zEf(7U-Xx{;wpal38r<r#=*T8>=DV`q!47F&?TBs(W3vsP>-AK>d2_vcJrF!C)9Hsn
z5+^s|ft&E6dVg#9NUBc$5w0iMl-`ZjuUdWEao+1kbYH#Bemu4(opy_1Q%Kj;=`5t8
zdXNHqkJiLCI#0MXGgYp9YqmJFFR(U2wJg=MtK}XW^W9AIFs9@w;s6(hUKi#@^>B3&
zet1@jI;8fT#QGU(M^-`zFP~Hlt~YS^ZaaDe91|?Sx{f%_p|uNn+4ncIpYzUuFqbG#
zx18cnj(=zfk(TT)YC;~8Gp^FMcz3rg%a~ufHRL*dXqj;R2oGQ14#QlxE^%&f8J}GK
zDeO-KUfs$Jux>RP7JWH+#ZM`-@(pAf`Jw4YRhWmP2E)#=2G>VkGbhp5zWO>iS|#v+
zgku7yv!7JozMf6sy-RUpvqji)S_3g>7$mwScv7^dXolfnWYv$^YYMGYbN1I;MaWSf
zp<|lRL??8*^gm^LUqkbz7B%?Q;CVptt&)#p5G|NVI7{4X{+@X(25y3bCb+AR)-N5T
zzfo9%VHrk1RsxfX$&Q|`f5?h^*tgokET6-8(I?v<az@^V1PTZjK+f^p&v|oF{>N*-
zgT#fvSf0Y*%OnK)!vyL_tZ4e7*1>a=y=fs<|2*4XgGXR|`^aie&NGk4>qAi526l3e
zM31CCF8lxI6HzTTtl|x;uNbi@+D_DLlbgwz)dFb{GS?-fp^=(q32Iu55|H8{PKO_D
zo{nyfrh93s+zvSBHh1}`=;H%N74^n5p-92>vxtAR*JeWO5mGvr2lrq4`6siJU4>p`
zvKC|z;P&swEXAgDnc8fbpmL=@!!7ZHx(cnN;RrVTrXQ|fvm(u6w()JyKR7{MVylc3
zkj%Wq@u5EcIE`v1(dftVWzzYeFtb17r=F@e`rJ}lwN}m1diBgxAFg)|5}lj7Z#TIN
z6qaG34&)3@J+27@CKCf`O%&$0gzzcrCoNFGaACNQ$v|ApR~dmVuPv=#9rl_YmjA!#
zC?ElocmTT`J1z@|EUH)dy4Sx-*0>=Mr53~7PTzQRr47vESeg3g6h06t+|NIduKl1+
zx2TStU;{A2C<Il^GH@sQMo;Wue)Tg}=2tpFW(Y=`r{#ClBepq~YMkm-Rgqqy6how9
z4suagA>lnR;?;OX&wLy)O!wsN6ga^A?_Ths)EsrRub#|K_rCEnV9S#VrT)eKv^v9;
z{5c78RM3wj789*Ekf4#SaH*CL770?#96paTjiU@RPY&lZYB1-LT;;QK;xkl@oOws|
z<=y>ERKU8=JvR36Ta7_Y#r9QD;<Y&3ZQ+Dn)KJGv2fKu&h)k^Av$HF_OaE5`)~KEn
zCJL9Me$N+0@@3Sqa<m8j<@G-kBfB}KJ--B86rE387VDT+jjD905aMF73T}1=BnIap
zqNFf{72W}&l+=$7G7oce!`#jT1+M*5uXO`_iyQYgDX9-%%lX_~#g!`3mWZ~hy-3n@
zHE6RI$O&@`(B6DFupc^2IQOS@H!BPCK&?A1B@jZhPV;G!K%l}X5pY@0_G>>olMKsF
z+lEvUFI2n7mJdyS&j?9;yha*Gj$Sx3go|#5&5^T3VpeN4R~m8#R0H7BJ1~BL5?v*u
zpRJ}H(_t)=@JQGs{j}0|7{8YI$|osYxGVaxEp%hhOy5nJkEPOdS&J-x$X9nt#D207
zUq8xCNt+6xTWE1xFap;9AEXCNFMU0bj%mx&m-idHkb67g%~`~aUzYKTp7rEg^O1XS
z&iu9$^H?@XBg!LhZ0|?3&h^7lG3;O2ZA&e&fq9O2JiYyaIXv%#R!P9?QK-gYxXWI0
zftrBV0*safBW!LO;)3k13M}1t4<ur5R~qgArD(xmnA`Plx}jNH7-ogD2f!>o9Gu{s
zdIsBjhTL!J0Ci#1efGf`U9-{V#JakxR{i@i-Av#PDk3L>CnQJd#oiO0Fl-pQrCsS9
zn}Qk97N|lCa)^S3`9lH0`pa2H_FIV8e@{DBQ_(XQ+W2d~)DIlCqp~MVuR@m~r;ZdJ
zU4+LPa0`OKTDL1EPXk&O*=x~<_i?>yB(P9@OW;SEs80N4ma)L`A*;SrzY#e;&s83?
zK;TosqIW-nDuT|!R`iyaagX9R*12yiMiQwUUUEoF`EW)X{DmWLu3PpJRNmkXG&dP!
z38A#xexl*i8#Rx}+SGc=hbjt_%dG4SWsSw5K;U#XsaS#u66hEsW|(dyZ5Y5$tCjDJ
z^W?*xf<ft^tyD?4F3?njUopV;_AAm3cK}$%0dwRBpqu!|BnntRD5%&gk7#utgw<dm
z8YFqJXH9&K0A~7SyV(czHShBlXo-Z)YNObnlaPiuA3JWE649fiegiU@Tr21={eFTu
z0QO`A$^5Via_bYy-1-nN;v+y%37G*P0lsR;fuot#%q~rg;#}E!8NbH5>g_o5yMm>I
zn8d-VkJgj%@uptHz|`#X!`Pm6o8~EgBb~^Lcd9}UuYinDVW8x`eIx}27OYTnTUuwZ
zeomUxzT)q3%BLqGl`MaNcSf-m!djt;@gG7iS&#cFacV|sryX4gOLHX^38@q*M9&+)
zA8SW13%hs_b#XX&vUN@P#1ZB>>TS8Slb<NJ1WR-j8EbFQS6@dxHO0b6d<w5GgMThL
z-L(#|MNzuaCD_2xYvF3o>?}J!ea&t9y#LW_-gl5%Y%Be=evkj<&A<cX9t!krTN>cG
zcUbio9ujDv0Qi(0nV~NO8=MUTOc)=4pnitbn8Q@`5}E=ImIlZH@UIVZ`m_$Eqb{p+
zcDt&T0?jfW406W9UUV3#C-%%w`BM{U2GEYXzoRqA^*{3Og=@^Z#5uryMl}-PG&pk#
zraCMV+o09YTwvCOc?<NP$;d$BypsYc4P0v%EP>!@MyG5}J57k<^dt;E;6wlL7CbXm
z-mAMgzAdspjS={3=)F#_V_2&jC0@c@DUVMpMwfOhoSPNJqku*Y%)aQd-rYaR6*Z%8
z%c4YEL*OGnZ9689ibejS{hlc{b`!mz)sIKEbw}n6%b?*X9yT)OrA(L7sKoe87F3_S
zlRgqwShZW??%r^`*Txk^?SukkYOK(7bN)yB3H^f0K_zgJlP63$<(i!B&o>zod4c`{
z=tnsJ>K~+3iFu1QQJfvOm?Rm~MgHQ-ad#N3lnE5T21yWA#PC-+uZaIY781V40F%U4
zd<Lt318Hs9b$z<S0lhoTo{jyvsCn14ak0pi!4}O{uy5v#yP_Y_@f9DOpjKnVfKG-U
zs>;6+v{stS=jix$&+0kt>cFJdip{$1fILes*j?rLUz#mt_*D|#%i*9=yi|EqnF`!Q
zp{X!Y4@mV6HDXEOGr_p7X_98!A(Bd+7dYV8TUbo9-1NTW=c5G3KU0L_%FNn+QPTcd
zGOs-{c7|y985^HRa{2Z0i}1OPF@No}@6>tzQTm8exnNpk2ty^8&rWBf#EXn8qV@~E
zx5#V51Kg5Fw$jQLKVUHzhbw~Bw|^ezavTXsVP<jMF@EQGwF6r2jfIhkheUP`NCjNx
z=XO2U@&PJ@?z&>9Hu!dxOT^+9MWs##f6Y8l3gphISeBX_WAC*!Pofpn$g8_<-$VpI
z>s5Z_Kc9(Tpxm{h_H#7(JLebO+%IJ&iR7vModGt&&8Mu5FS2~@z)thS&x^|bIj_67
zS`L{^cAE@~<}uD2K&EJ#lrzaX<t+O_T|*584m?BEulIqFDWtN}sp_ZoI9zPD(>r1R
z6AiE#4YeGST%-8Tm1BxSX;N?mnQkTf3Gbqa(MZBibudz61W!7)ql|RzI@QC2S8X&K
z3#%4c=ZxGoW7eK20?jN+!#YW_XwWqIK}olcv-;j{7pYjD>|&_b&W2`V1S7{pkeM?g
z6{5$bWWV8~Ei$b|-+Yr_(QF{5V;QF{E!^!DDPSnz+Kf4zopr9z5l65zK-1)ujy!DH
zvCWG()YHuhGQSM@)~vCArZ=y093JRqY3qHo(2Z$N8IX!}%qlUs9cexEtgW#6Xy_MP
zo{+)=EXS84MMPpEhUiP1Fc2RiLHmz6JP14amuR7XbiBL(Slz^bf}kl@_~oDHPq~z5
zfh5~A_;G_N*8pG7+~$+O?`FQRfcsm8?fZODOPkv><w5Z~kIR1lU`N;b-;LA{sdejh
z(|p3h!W^+UQf8mBaa?3jcyH}5Up(=+aj3%ysd>>E4>ne6Zy=rdJ)mA|m1@T^+Jr^!
zD=C-K<&cGszP!U3zLVmQen<w1aeapLtae02{QZITl-g8CrL?c|OH=#ihSuMNUGYO2
zUv&4Dk@Tc)DfU|Q@t((<pIX;Gh0Abjaj@uPUIW%M^jEFQLUe9X;G+8MC&D;JYK!R*
z@+DG2ijuMvjq4e7JiEu4jVWs{CR_R1@LsuPp6X=Ol)SW_s#`dK{n_5L%c}d&v{KCh
zj#YtlQCQIrI)*Uja1!p8IeTJXbroUDuGAQlb5A&0bV~)QE~gc@(GrJeed6#+CFOgq
zyO&?`^`tGXlSopOvKlm8nsiF)|Fn4j0G_}x4$YGwl<e1q^+TLfA34-D@{3O2#?(7s
zBc#7Df7tUh`^_dr7MEzpTw))2&rcl6eb-cFz%v#T{I2O+bBCa+-3xLbv}jkyKY=M-
zdrDhsPSs?Lnr_-wQ1%EEz`r-VPS4OVPnwwdvuuN)w52ll`QbhC3qP-%m;2^;O3P@K
z^iCJgO7BJIa^a{B47WJokh4vhV^qDBQ`?tVh%0ui^Hl3gVlVNR@$<DwH%altTD=zq
zAv^H5+-H<g$w(dT9U=hy=%e445^a3hz%HD3yzkChIRDZ-0Q)-dNw4%XaV2!#VsDvn
z?Bq?LAM!A!Gn6FLK=%YV2iDwV89Vz{_cTy^$QPjw0ds_KKBZYq`$@2GkcGrK9`B?d
zian6N0^OJhJP-y8LK-^4LGw~ISzX{;Ucm23LuyNlj}QQ?o`5av)+yjNbNL^3x^u`o
zdp8mB-t{`Ei!1t2<uTjWcVTQ~hP4x}`8_JGe~;_G%qZK&kp|qO;aGJ_5C5+WwYRcJ
z-Dbo>_Wh?1FwjMche~eCCPBVor-DGD$^qBUTPo0vI!V9PIZWcpeAF;%t)zAd;g8qy
zF(&6I%BQn2?KH2)<@c2#F}rvt`jO^YBr+EAq|Lj^J@e9at|=R#T#-UEi5Fai(qzjG
z>y>27`(kMMqJ{W$O%xf2_zL2584xj7H?tOgJUp$xT{V$9T+{3>uF4VBO_OGvmic#T
z{$FE)cqs9glaKRlR?vn=1!Kn!1&#0~u1u;iT;h1EvUTS<UQsQVh1MpH<(`#V?=3wl
zu0)Y9uFw)JdR%JP|GCiR2h^#mFx=-N(joUi(cG;&IpJ0iRC*<y?U&Yag|OrK6~ViP
z<+8fvMOk08>sY>KrjB)5zabaSm*#JZ7fpSlX&<N3saY)iR5Ux}lKzsp)Gm7_(B3?X
z-;Z$S6r7W8bsF@>{!k`jw!h*JRfK{Fr`$1>L3Qf{hwLHO{L#tJMce(zoy4{TE#w&9
zURvd9|2<8a&I-gzO%Ufe9Y%}Z(s&<b;!gZ?vy_7;=|^*#9%jXyarm-G^h$6ar{UsW
zRPoVJHQjsR*^CU^pZgiB;Bnsngx$VpZ<(%SX=s3aICh>H<?d4LOz|HVkxA7p+SI%S
z^?QOFraioyW0N-VfhIOr#g7&&gK=`5;>cvDD<){J0>d`S_uDwA8@xbYT|IB#czZFa
zdx*q6lP7OfVV%jSPyB6wd{KLM*tCBSh5h};$RV^&jH(+tUt7p+K&sExlr<;zU@qq*
ze6WrEj(RW|*-1jqNgwJrm-pe15((i|s1J4)fDT;VLZm|v56F%WMDv7dG3}epDP9R!
z(AK%u9hexk&)8p;&=!dL(ZX4EM9n^$ewp_L84wa%(i9NaaJ}Pu#5&guBQNyhS&`V}
z`_1Ll<gZCb_&{e>A)73f-w1%K)G4DnaAA^1{r>B9o0=@w-rj<dK?(5vXm_BKp)y1}
zFT&#ekFam*9V9-!ICdA@)WQ9gL}$ev$i_6L#zrEe67J+kPs-!;Y^VvI*IqsIAXA)s
z$VSY>k7%Yy#q$lXIX6<;gd|O1e%_z`EM2Tnu*1)rfk>1q$>2(ivFaR*rNk@bW_V|Y
zoQ^q`vsAgWnsY&vd4;`8qJxuLW6x$w(2G4CN&HdXo<Zf)jZ6lytE(_K%96`#?lVIq
z$7E)MZ?CiP#kDE4B9X8R@a(TN0<h@LSLdHQG&Bt~g>ba~xu|Bd$Q1WC8ZT^4=#4wn
zfp6T<i3ePq^js`jIr_jIe%GWb-u%hchW{5HY**u}GrhqG>z<78$(dz0O+PGC2tlNk
zQ7xj9{Kq77D8l%(A3nlByCA~zgd!8?k(sH_KFComtSs~@LZN}$WZM?)W=R%T(`?Lg
zVxzs&bn8pdJ2sCnpUHXw-BP`2PE%M+LoO7OAsy0kNb5d{3m?q=adqtPk)s<>tYIOf
z_dJ88Nc<EPGO=z&MG^Ku(+$pajf+iA3eCD+%a-zT54<{{N<Ds^IJpsEeIQ_6>8mld
z`F7XW_b8Fq0CKo3zZuaBx3|~5lpoW2({Os|e#cIAFRfyOpgzs~Pq5TP&{(KlObH;u
z)s_jJ;VW9s$Y$-aHD2ir@^<~DX2Rj!!=lMyHsh2|hSDj$aLVy;8A|R~=ZAKhooQX)
z%?eh4sLhM26#kEf&ku9s0vJ~vhAxojj(DJ!zaHlP3KNk12O9eRZ2EuS7(KgsNKA$m
zF7N6r`lz_AAR-JZDi^W&vH1o;iA5ONECbchaO#In6{&Jm&P@>4_ZcH}pY!v(XJd50
z2Vq+7dl)u7p!i#X#$I5;xgTU8XrnST4O1$#VXhqF1?ScJgFesS%M~b9by1g$Pu%=N
z?N9Mxmz}8nIR8KxdeWybO!5yg)VhGIw-;hm({>ghdt})7=o?=(x3P<BIk6g!sF`#K
zt1$C#{>zW6^~jG!TRi&0*_mk5tvg8O@reqHGiSg^NF^Try#06Vk(xZC37+IqS$&tb
z{ef*DT<7->px4RU-2A%vDCSSQVB^vw9CGZ?_lEmQ9KPF={hx0XqhrITR<;F7TAHZ6
z-<C|vzpT`TX<U2CZk;J$#7{Pb-D``lST30EHm*czgzFuS(LNmqK6j_?BUtKx15GdQ
z<)+Uic38cODKFLP#h(S8SdnU<V@#C+CQKOT?1V2Tgz~j(y)}iovW3|5?v9?+_F4Q=
z)ImF2s?v|PAVsmjdjHC%mBvG4o6391tz{fTJlV<q!_4dS{rykAraIDdX(1(=ZsTA8
zD0_DSyEQIHm0`P15;FeJuJe9MgPx%)=pqmcTZt(o$njm5=~Q#^LHur!V~)Z@IvfAw
zAF;{SyVX5afeb&wGt3M>`VhosRwlgR)#qwp(iV$y*tkD6ogMtqTiY{WCx287R(~sV
znM`x>w?}Nhb0Os3tNmfMZg{xOm~VFvj7<()Ac?|Xgl^Uk7CPNB_ibSy-lqpp@|yS$
z={kTS%>`?rghR6jnqHtX8mL#f@U4dE+tMDn^OB9jJllkq`UF!HBES;Od-!vf`Brli
zhbWM&j1Cv4A12;362A4;?k=8{R|NF=>dM%KQTnFJeZrSs=M5{{Of`?(`q-$-RxE9&
z$AkpHo{5j#1}#AI#uI7e5P@~=x){$3{wlvZ&{G#lrR_!m^5xlO=LfuL8{_MHNBZKz
zm&S44uP{}%I?5vESu@qg$O{mnuY}G`04V}4e>`(@^2Za}gS91Ub07olZ%#3iS9Pa|
zH~+AT{!>Xxjy48A>+0{WPJ$fqasHUK*)X8J{M7vTO`lo*cJSL#5XTVt5<2Mq)2V8A
zsPe9tT+wDIL;o}Ei@?wIGKV-G<1O6#?jAlg<wCMg;!5Rc!+R<nKTqMouO5s1LR;lt
z?%OiBd#X)Z+QwtN9`kWtlx95IR3c0~IDz=-b@y|zOZ$@2pn9F~SbTpH0q0QSiN|JF
z68Kz0UJD6z=dSwK+RMmh&0-fgyC)wC37ZqUtWtQcf;uZPvj~Qas`AL;oy>Q#Ns|lN
zk6#y6EJVwNUDB!C$hYuGjg@>KEkjn)4nEe66g#5Q!5S8K7Zp38O2_#Yc}ep@fEg<M
zes)gihiO3t|0D96zCAkFubhUKFK9$V?wR$z&3(?{9+LFYGmhyFNKJ;7F_`z&sH(yD
zM;`6qRqZeF@mhhN++W~1=H0QgZ5Y4l5^1de-h>mEe&RmP8@t%7e|IyNmSj5yNIs<|
zGSRkO{hDt^Lv7`3JUP`8V-6??PlP?eLliThJjT%64Q>j6K@aC)>6rAu909!m&`5zE
zTp4_52KXbu%uzqMg6;fa!VIwd@&^jkEGA;A)y^jw=5W#W6$tWeqtFWMUS)@n2fysL
zo!xc#S86{&)M=jQsDSPZDiF!W4t>m-*vFhH{FeH7^Z>kI`-K;RzurOu2oWYNts%P+
zsImDU`GL~Wirj=1v$Vce7WFadV0$sTm0&7(?#}d5Stk^tN)NsD;iGIr__rsm(#i(A
zbeRw_GpbtGNVjTXVXno?rlB+21iia9GnSh4);?`p8ji9w4vwlH&q>JRW0mC}9LXO6
zV5}UU9nf2Ky$+0Ml>a@(ztxD((mgB<jQGG5N&jdhdKpHIWX&xe+VP~2pWGu(Egns5
z#o`gt6GgZ2S;K(T9*guVis5jLlvJ{UmHx#pm~orQ3rZg@4g$>usQxmm!cD{r5xmTa
zlCskaMmS@u9J?4kayLFJ(l(X}?A9P0IRk&`o$?X0-^*37!IG)2J5Z*mhl#?aeiW=1
zY?XHoKmA_ppZrt*$S``-kt--+LafSb8jlOl6}akSwbo-OY`zE`2u3=Y+;Ct=eU^zR
z&`8e3`hvQyrcdR%oED~Q{Y?X|4NGfzPkiMLmN2<q=P#{21`u1BRh2$F-~&3&53F=_
znm;$gY0MF8aG#+W%nYxgnf1MB{|G;|r_sS2V{hNezO8&oKxFl{T!BlrMZxax<21bN
zTd@{Bga;$N%*<mPva+t^c1it2#u*B&$)7^z?wY1rN>chKV^HM}>1k%;%t_+EY+--P
zB9IMOR5SM8_cSqvHTd>I+Tw&Ur7VdCBA5aUhm+<zSc|H1d3}3~5o)`AP#l^ejZnMX
zD(CKo>lx1RW0hlhyC6q6A8mTGwa@0VY2Z1?w0ZLID})|_1mvkokOU0(gb$DevsGNo
zWmAbkAkt`C;3k0Ey@y1_9g5koT(Ph%FA51zQtxZZSKh_AZ%1`ou9@>(3JoZJ;(7V9
z_np#v+av6>PtmS9n)d<%jH&W0HXJxMSBYZRzbfC@fQ;Y{630JrVg4cHN_ZzHi0y4J
zK2feDk$PjvzBhWG=ymK(m8vc7<Ya%Nk}<zfkNx`f>$YIkx*Pi9pSN=d8lKpHyUvpP
zu0OaHx;)|2P5pX(a-_gQtA$(*m5fpa`Bg%vD}pXom$x{?xH|j}CRsLng(W+DP1Hq_
zx^n_{G?&v+npDQgytJXl7-f6k<I%Uip%+#;X_R#vZ*Vha#}<>)p+2vzj$>u#(M>nt
z);_3ja&YT-S*>CRSsx&=Sm1BbswnB?$fC|h>)^J!NhJILy@<YGHSyMIrikPa(X>N!
zGRlO<0y}L2xAhzS9{J2`pC-}n!^L_JRc+)FfilF%hUi2i^M6E5H+bbzYmIKf#r7WF
zC_HoahrIagE*VKs-)8$KaQd28T~9)Ha^*c<-!8=rSEBd1yPX&yeGFF@uG}4Rzslml
zJ~{EDLAe<Ev6ej;>z6ceZ|Sv};iqV1l;)Ks7N_}q#qjS*A2%nwPp~wgk5St<U%)ls
zwUIcACT>yv(@br{4m*cg3E~9zsxh=4B7VsIibZMd&u;sJ<J7qfdp2lcpGN^J^qV_}
zl*!b)-C(D?7j=Zis(P%7@-OO75c4J;GAYkJJozZFBKSJgSf6*A&>qL%i#BE)t_|7#
zB%=)6J!WlCFxB{!P(8YX*gJNMRrgF1Yhm(>o4T}Z>(7c|)qnr5@&u~*;i?9m{TN&f
zuy2PvZT%RCJ52k^_M&{qMbv=208afN>{4#~)+q(khb%XaZfZg_x9r}-*w|PlGEk6D
z&}}XEG>IiC6aGv*5IDp5>Wu>&mPfr7e=D4?FrA!$lBB6$se9J}eVLxSXiunQ7c$bm
zTS)h+bN$zM+~@T-M$xB-;4l5xE1GuPTADceY<`Ax2P)YSsB4gK;o=>aMb1&ah}E3H
zC7t}eKgrRTahOK?%(e8tkB*1f&My?gXV{yT5`B8ipB!pkF?--NzR#=MFB$T_75o|8
z&%J&BLMEYHTZ^bdpCLlN4X!irA#$wXV0;HLxl>tC58L=n>cw<C7sn2BgQe{apx<gJ
zE$MweVMA~et4>$@EFR=1J$64Y72TL;m`Jj%UmP6|hEC1>`MaE8dAQzwb+dR<8YikA
zn7JY3B&%Y{h2_;6^O{fb{`6Hw=zK)aAH&D5#N>PYHeYFm9ppYaedn&wNxINQzJNCN
zMj@$N?v>yKZ}rC8VMI3{meG`6W#Lc?ZudaJ{%WcoH@4~rSja@|Z$m%C-&6&$XAum;
zq?CT!`vV2o9)6m7V{C>S86O=86iQxy&FySuafBi}sj%;+YOgYHgZS)E+LXUib;(Bd
z|H7ZRqO~KtM@1ac@~)k7e51wR1YciZ9rLt#3Icaak0&w)LS`w$@oDL(e`<*L<Kr`>
zGdh&z{WJ{xWn7^(QHm2>VGxI+e9|h2(8RP)`)w{RG05!`It!7qvtD3^+ioafF59{~
zN6-0)j^Bu%bFDXVFqG~(%5Gc^1m27GerFl%@||8inIOjg@Zp2G+}5{`(~k{M#04n3
z^DS>vUMv2#EayXW%L~D`w4WA82CvQdu9c++4)bFd?Rnc#{TI%Kho=!bKU`!9CVwkM
zPURbYPSa~`>*#nq`?B?Gb3*j+j|jXBXU~=J^`|cOH>D;a@r$=@l=WrX_}($D*Nm7s
z(d3S?%{FqR?<cdp+Qr7i1>qCClj`Dsu^MZ)`KbS7Xp7FQcJ8wDKZR;}Sykx=fB;S1
z(Nd4;Be{s$AB$v>IHifdOvg8VX*vm&VikHQbiq@1Xg~el#r-_@GTi*2aU6whTHYuQ
zlDfIqxucKiim1d&{JNb?>RM7jok7`l?XVybm#D{U;?d4qKjf3VWBsIL*xJLj_=Tuk
z8bwTD<Os9W&eNBfdqiB0Rw=cbFRq!Q?hxCy&+;BkTK#bDT_fw^+LKX_X?T~eHRQwS
zdZTkUC_HfmMO$cZfSK#5uj@@j(4`h-4%xY-dDZx&zSS?EOOgwAK=oiFcaMj!46J<>
z<Q)>KH=dI;>;<(EKs2q_;c7LZm?<c+nWU<{T|dU=%7d@<GzE8yHK<e7n)7m??#-h<
z`Lk7eSW#FKA-wVpB&wyW(4wvI4He=m6Rdl6S(GpEeA)&kEeDzNl9qv-zkz4a!s#qm
zacP!CfjNDsqN(A;tu(zk$?(h6{MKHbN~#MduY`={L1E&3v=MF^s07{UzUuW918MnC
zuEO`^ad9`EtsKXze?2Zm^Q?$a4yF(MK`lVy%|>Mdr>1S+oKcSIMMs%Q6#7i4E~Y5*
zRj=S&7n*@r$bU_=n8Jl^KF7k5yjRMcldRaT&&kb8g|6^#M@HR(3zyJ*Y<f*kBso9C
z(gpgVV-D_4i3!DCwet-5LWA;YQgMo^BIMQIWVwO$6eiBb_deCnIrs$_!DpuXebL~C
zZ-mnKCg-Iy)H(Eu95r+}$8iQw+7~tyMl_BDSUR*Hqjy7@G^izfE8&;6Ss3Pe(-EAF
zob;|AKgi(ig;Ac#exS|@S}tej^^;A(64q7^Rm5Mu-Aja(OtY{Xs$S(;yVhMweo~Y_
zS|9x;lR>#v+~eA-cX*<biJd=`&MKECLsG1oqbAm4&04Zw$}n8KRl-`SvCc1AZ|$pQ
zt}uh*Xv6Z-fQPVHQ+msig*%BzsuJ%x7W=#vaa<qWeEww46Bnh|{RYldtPQNtFNvJ?
z-6QX6*QQB18b`2kh)GTr`v+jrqcE#1qSitTSDLZ$2H|>E0v$uBvk4a652uv@N6btE
z%nR@3xdg-Vs%H-^1DAeHRHco|v8NEycCFC!uW@ug86Utv5K6#riQ(;Y5G8_TTZdq}
zq2PB7ljfT|#64VBX7Jgqy%t*dV%9vp_*$XoH^@Bg8J#kC68Z>}C0hP2d-2XvWGh|$
zTq4WFc^*;(d5>4bHsA!N6=(K7YnHIh*q>E~`7aLGu`iEX6>7G_e>U2X_~eD$YSj3A
zGB(CiX$kwv=s3<snk|>C-Ue+G5k^xNc>U$P%y3%^TSqxx_Uoo*sy@od!48;Y@V~j7
zN4mw)*#$SH5;+NJEF!l|<o6J2lf078?buQMSw)%toiwgY5`{Kfny!RZzf`WIE=wZZ
z4p+4LJLjk2k5etlF4OjydwB0##FW1pf0EeG6hM#rv0f@O3u%GgZ^lvg5iOAQy{UDD
zGgkc#zQrHx_?y!fsX_V!g#f+^J{5);CfGbq!Y<u7KG8pxXOc(d`ZzdMY<#miUY|uS
zYDJCEBf+FIV&Koa&s7bY*wf^q%@|hpDbA#mJ7QVtJ(70=N=1U^ny{vzKb-c`wZo%k
zo;pT+@orBttHhNGdzns{<6C5fDqd8)Nxk`?@e9p=Ae)Bb;Jt-<ELZa0Ay<-FG_x5+
zHCIDH@2J)FF8kdXr#;lmmB9b|R61`V3DQ`dSzygpiPSG_n<NdC{>!5Hfg4o38YPao
zyiGUek|&vOF)IQ+7~8oNsqvRZhrVxoVt{qe04YBP;z{ih7$FKE_+VTmKF(Zc)em|D
zKSblB6Ifms9%fpz-54yW2mvKwN9jbF5iRCby>@q5)bB%<6NjRvTI-<cLL!{i+u>Zp
z2i@)p-MGXxFbroF-@SVQdos+}Z53yHnm_#7fE{D=93rAXeufJkfY+xye<`;)F-myr
zHRGt}alA?&Yb{O0zM}uCR%%IOiS>V9iH@RA0{aaMGbaPZo`3SLCl&}R<lR-ux3o#y
z(g~^K=9JP7T51;g7X-FyQ!iar?G@aWA`V=PJR-z$jwN86FN0OP*IKl^{w}ZBVFkpa
zDsd_#N3D+gkj%>z_V?y3A8UuPdg637?U3oLE+wxoBqwYTVLWp4o?~WIWN69Ib6cs2
zL215J@OB*|C9xLvmB8joPg?oTcpypT_a}f|x@u`OsMQ5=@ETvnl4%t?&D+wO45R&*
zNf1pjtMqTwV=R_IM}S8Kx%7sZfy=k2uuFPBD>zj;%~3myIBe8n66vvEc$bcP;F<Pw
z+l`!SbJAyqjsk;urF%TC*ROwT?DNK-#oitcP>NR`<nEEeYU!rZw;CB&OQHfA5Aec&
zSJpI_!1|TViu+#e98gr%7M!k8P`oI^!wZOEiqkpHc^YHdGT5*d{+hDqyDHK>-<Bg)
zcwZ4Isa`_y8Cf_Ld&?&_f?|>K6#^WXal^6V^l^cgaVHwyA|E+n?n{PZc-)Cd`C~3C
z$6D!&>3JwK`Z25Dp*P)eCPka)uV_ubz^Nw}hpW-&Wr0Z&`ev)58{aqDCE@MF@Xs?4
zNj&#;pcZCLK15y<rCt_IjyNYV;S&%XB&RJHGS%zb&9iXS>gh=sy#{sV%?6_>R63wS
zz+Ec*Z~M%QU(cl`%(~QCK0PrPYp#E;k>y-}!8!9umrViN?&9b<Gv%wcrdIF_{noeN
zQy?0W@o*4dLqhiD=5I`4QViqZJDUu=Rp)*Al0{;))5c^tKum+O4Th~O=lP54;Mpi@
zh2^#2G@>^7@(j!b>ZP*h4Nrdt%d_-{`Tc!Fs^9AWh#af6TGn{GIG8%X=+yR04Qnxf
z)Ly=GspY9{t=}Hibysn~r^Fdtt#U3sVGu_tkvL-ed5$B>D>sKK)Yxdl*W!0Vv+MSH
zi@w_!`t0{7e=1O<bcZs%c=SpMe$!2tpJO?pndGz|zECK{yQWM1x?T9cE`z?Dp?Cg8
z`}~atua(}rhN={|jY?H*5)VVSwsdi*c&n;NX3!tJyTP#<M}^Bqi^kN@gLcbrm7Fa8
zKc5V}f(!9TJH-Sz>Q_(=m-y%|oFCtsh&LE)hf!CFkQa5lfr!s-hh}^*q$*V|W?M1i
z*~;*l+TX46c)g2e#RmO0T-=3&5-9XLQ9KZV*J!4+#G4wqp3|}hWeU!Hv&iR&zkA$6
z#9D-g4L)4swHTgaah;jQ#kMJV%J;|xJyF;@-a@>~@AHRH=9UyfcsqgqaR;wFL@6Rd
zfFv+!215D{qLdS%i3z|l$Od`b=E+TEKMkH71xW9JdGul8dGl+x^U{-)q;CjHDxmnV
zleZZ<JxRg*i`@LH^(gZx3Kaafd9s;<Ci7ZZ>Li-^G=5(x9h|<fH7*kC-8+arZw>OY
zPDxHyY((p3_Z6}5dY*!T)j{tZ?KUUe+`CyzLNCo^-D}Hf7V;kaL#=}uZ#KSPgkyeY
zHO*)fnfvVK+AmPQLw%+Lezc__yEu(qHyg1yabm^%TpDR4IqKNt(Oa=Aj)58u&Pyv#
z8`W?Bi%!-5Ib853$yp<o5k^^pps9>*=e9o-?c!q)T9A^d4aAlF#YU)}E?%~ra2yS~
zOqg7vCg!Th300F+T_V2zQ(6ROsOtiU3C~!h-W3V=4O-I{!+Uz^_hi)5EDUG8HOi15
zuc(OQkV##u3J5ar+JqT)etvAb-mVM?wP7Vt?{hLze62w8kvNmD8VLxQ4_YqG`M)2y
z+89-BFYKl#uH2LUMtU3Mt#6p$^N}%NUrLdqd}<M^L>!W$IcLBtGQ(SqCZDPA6rG@0
zf;^o;*n13~nMSPQ*6BidI|pQ<WXtZ7@mlP;_qo04g(b^J2ee8d6V{xyYK>d`Yp+CQ
zdDrI)Cc8}}Q(xJjaS%pMFv;JxjRs4Z6+WeTTi9T^Hd<K!V<>EM1FIrKL&=kTu_k0$
zE>f=y#fNd{(wPX30u0h%NZoxHN(H`13|@!8!fK9asg`k*K$Qe0q4HIJH+v6JN~e7#
zBAS#!kmdO^24S(WydDj`x1U@OpZWTy;a7Hfrl`14+Z}J%*RL$!h;-JzoTQ0lwlcVt
z#{cTviSyxj+KjFaz_`lV(~}3hN)sUBgkU_Av-_>N7q46Qw)%_A??p$=Gc^Wjrox_A
z4n{r`pg80Rv~?Y>#?TNM_uPVJ<qdEOj}PjNOb6;l!T%L<4u+0liOq}tB}3xW|Nhnv
zpywF<pUj@g<{9e%V_an?-Flyl)VUaU5_SxjXwS;8OUi|>lJt*~tm9^_RY~n!nTnQt
z=Yp00kSBj0q=?cq6H9xFF<7sY+1NB|D^R_Q)e`PM+nBj1x{I|p^fflX(gf<au;2LM
z1D4wKpMtl}uQ9mnV%J6&dQJ2fMPFQfVWcWGEFk?qG<{`QR9)M)DAJuG-O?c4iu4Ew
z2qQHh-5o=#lypfq2q@h-bayul-7z%M-{yYa?;k(sVDG)I^Ezu;AO;(5b7nU{3A?T+
zaDE^2UOP^uHx1at4U?^y`pDXClAyf4UYRyf3en%GyLjK*wgItI_U-)ly%CTP!VXQ(
z4|4<c7g-%eFXjT@Py8rPkWi$qP$``|)>O<+&(a#jLsj})c(|T9H8Hn~^q^xJU==l9
zSY^Q!;pHx~|5>%ZPd@wm<=&)$0!dS=sy4sGuTL>P`Py<dNn%a?mfVd)-d^Ow(h0o!
zvQT0LXbZYK*{XQBzgtEWu&Bf;L5W`hNVJpy&2C|g5H8L#M7MD$VcYJRnYmR)KmTFR
za(5}Cf<P_&#<aPz3;m|2$v*=D3CU!pL-EpMCk+KQjzR+Nqxg|Yb+V3JUC!nYwnjo1
zlNjIPT1g%)V$*&BP*Vg))q~DB9w$s|yJnFV#uR>v4<Bp^-;U{naB7#<>&6IkO`ANu
zA<E5m4)1nbz9_2#EoyjY;TDXYmtc_HwL4NE2B#`|Fp6M6=;(6;=?hiXn>da25WE<}
zW}c<mZ(l9V7w1LcHhaYa=Tj!HUC641TZnag_>@myuqr3eW$8q3=Zzcv{sm3bR`=oR
z_&s9B(Z#;`5M1KZvbmnDJ`ZJJT778b=Ha<-0x)MBJtHCf{sWwT>VOrQOH>kDpvA7&
z%EzO42j@Du?vDzIR7@9*39XD)?F(NnNu>cRR;Ce0FN(xDdo=ektH}}&8K?4KufJQa
z*mfG3CZ#cX>&rW`75>XZMJgTP5E&^&6lP5d<EEx`*TMzEvRC~a-Kf>|7P4u1YhQn9
za_~Q9(^aw3*|S+`kP2b=RtJL>-`avrBt5i_7j-pE1)Lj28}%sDS9UsMj4b<vWx&$Y
zZ)Kg*`<8+kMT^|}lxtVnq!Y#bZCZpPt(BSC&oJ9XYmCYDsTd2Rjua=1pKD_C$~$4K
zdorzPIfv6?TS}m9i^Eyr(XjyK@#~nC`;V3~RO{0j3q35qC<LrMiOvYiXZcfq_ysWK
z&qKxIsTpC*ez4muSh3f(MF1?k%BZ$$Y7E#^qEW!8bN`&&xbA<sFy<e+(=X3$2-E`C
z5cMkxB_!Fu&ktEuySX=orIK?!nns8*<?(V}3y;wJh~#Lodhjk%4mhfTa@M<4xulcS
z@+`b0B%C<e(eBeb@5E2KzBG_OVbj#Oyyd7u<`rf_jZ&J`e@i&A8@qzF1ZN3fBE%1C
zQGD}fNw^iy!^q9POy#`%X2+#KbPo70Ec%9YUJiV6L+<JD0X<5C??(#@AnKR<J#JQx
zB_w9=P)i{4SW&1fi1HnHajrxE*6E&)`ha=IO5GGdeXu2e-CT%#--)&RmM2X*Agz#9
zF6{WBSi;+Nq^O<a?R4MB(U^*#5@OHkHK;EERHaOu6$Bjnc?}zAbp@Y#otTz|HnKvi
zT*Pw^+9ql$1S2#@)_xjv5q~`zOg5m9Ex_bXSX_EmBg*ks|91z$aR7QbIT#+>C<t|*
zQecSGlBEcv*Yir5nt%v?(lIUe7>Bs_WHx;r?Fvo>)3w+asx)M(%UJT`&%IJ9zA4-R
zh|J6HEct`hH2Mi7D$H8*8*dGkE&A>A<89=v@plzdg32@`gjiw>->(U+fgeMjnSGBc
zne`qJpzC*)>(>1Kcta}ru_Q)Lj!Dy+yUsYamrFTEO0Uba2F*^M2C-ZAw5p&X=4fH7
z)xe*(9PN!Nz&cw>XOcxbNO{_3Hl2LN7h8X-_acH%RAkuX`Dy^Yg5GIsq73j(6*3V{
zkR`xMmBg6QUpfIyI99^x?K(LyNhVKk+mw91^8RA^3rv8I%c`<AIGP#+8dtCU<nRuJ
z>-WO?6tV>%UqZd}Bo9gf#76XUTw^r`OL%ip#)9Rn%h%Gq!}?tqK2s3I`?*asBrSO9
zKO(+6y5Ly_TqaBh)aB@9(X^x5K!{Orz1Y(4M)iSvMH_V<;ZKTaq-7SdYeHG9f+&l1
zuN|+z$}(Fpz&>jEmuAG<%Ifv87T&tgyt9#K(Rqj~UBqtu3KD^Y2&hKRnFImfI(~FX
zOiXMpEpyV4QRs^jJb;oKu)S>j<_6Y-V){E{Cmw86bnuAkPJlgInpY%W&h(LDzk@Ux
z>@pJKd$1dmE;To7BwD*D&NaQY(nzTF#(0r5b1>O7pzdMS!?(qvO%mqajOLmv7k%8{
zR+75VKLoRH+)Jf#n=!^Mp6{Dr23tFxakb77&z!&g`4Q{3c<E?3a1~6f*|A<bGJ!qk
zhBY6myY_OaT3#>P_@PODsrg$?HB^viZEPxKYW|$n=BuZBeQrV5w6%lVtOSlq(Wiu?
z5G%#1qZlQr<B*4C77TYJ1ujhT4_nmqP9+VOub=@sW3g=cwP-(cErj(nP*y3$1=<T+
zivXzbKSc)3u9wzsxpR&Yrs<miOcc3UG(_aZaiITk`da3eDI7x?(o8508xos!sf0*g
zUmxZEOHB#q%T5wQE`caQxlEb6_hM05R<W(2V-chV2?@MBX*R1Yn%DK}VnK6n$EAI&
zA1?lpT(6QP<N%NL<;pn=h{psNFpkmUY7h{5@@_BZpGh_RMe^y_1lQRXUyz(1wivE%
zIllU?0{hCl<r^?InqG;%L_a8bfgnP*b8hEfym~5<p)5(S*gkiP;6I;HI~z(Hf%8O+
z<aE<X`<alV&i!5lWm_!U<toO-kBwz9#lnagW{dvH@jd5j4jJMl`<SFV!~~|;H+&<H
z%3lutwriPTBS$FJQdBMmZcPVNR6_tEQ$h4ZZSu6=3R1yca0wujgBX%c{VK)y^?8yV
zhhaiOd}Deu`uCZfkF~JR8}-sr3@`Lm3f^#-<OnCD;dJ*or)s+NWb$KAVkuul1$@&=
z+~QV0waVWhHD}k_Jz#ybcxivU(eP>JmbmBWXnxVoQt9|o?H}eRV*Rep5F5uS94S6_
zeF-vuxz+j)MtXW)a!M*nNmGdnx~X4B8Jp@<AoDVu_%;Ki&aAIbiy{U!X)z;4A@sbu
zKFP9>qUQ2H?YeO8yZ*u2$d6YlibqB~-DLV`%8^`=5gg&8nWp4(-%ey$747b``@k4p
zvSIuB_~$0NXSJI`RPCO~0`ORAXb176mo~6*fS|<Bf!*}#vlRS^0s-hx%vGSERG$$h
zM>%;{%?clV56@wMaSR{7SiDE8nXs{Sc6~>~yI8I3<Aczh&fO2xMQ#>as2}t{(@N;W
z|BRJS8^i-0Mj9xdy+&nXV%kN{!^@Uu+uN$SYuV24v^+WZv!&&kB&Hkvq{_*g?C@kY
zacU?0(n@e5>hwRj;v>FVcYZC_acNm6@!!$nY(C<<e~`yk*0tW&ogVaz&KkJ-B9MTh
zdEfTNs!LA1{(0XJfCcj78*kV-G~GBt)ZbUVRnlU9?2VzO{;hOZcq|*JP-^pr?{Zqh
zO(T{O>y~3Y#8hyp!rZ+4(Jf8RkS!^6%$D8yFkZ3@7+<CGF1xf74alW#=KPIe013Xq
zdSI?WEAnhrTqnwH=z6!((=|>mE8NXg$+*!txxr&>4>KESVCm?xpVKHgICL$hOd&i_
zppecb_?154-zn+X_hV<b0N)*SaXmy|nwD|X)&vS~P;=%La-YHfH}BsKNiuT7T}UHZ
zk7k@WBHFB3Q*X`1jC%d!mkn?BqnlwL4wq$DwONw$kKq>94Q6^$D*fNWgP==vOQg#|
zZ|<{0Q#ZMQ`qO~i(+Hm1c!et+h@<f(zvV*!`~Dk_DtIg@&i4@yG_Q#1zXTz+%L0}c
zLo#vkAu}H?jA?T+P}<Je=qsB|7G_zA9_X4Vbt-75;-056#(=hd^>T?dnBOYDK=d)g
zmT@gj{jc}{C&CAa4B->IA^LtOh#7|Q9j1t8DIw6_IMeOvh=x!oKZ!ZCws+w>Yqtq)
z++SR3d15zg3OmVOUk~rCZuuHR0P&YrsxV}V8I<+)py~x7q53E1gSBggS95{cB5#$t
zsasg+S_B{26#;50xXU6+<keB}(}{vf7xacB2U`u@R832>_k@$`rAe|-6?%_7i$+sk
zS&KbWo_glD9c!82Z0GH*8pdAs3re>5G2@T#6P<jPn(FvTW{;Ii8c@0$mgjY_o4R|3
zRL1wt6G9ON@s33jad(A3*3;G3tIed$N|a?HRE{+FF|-u{j$9vm<|<srX2ScOk)Xe>
z$=_OVpuXF8Qw&#e=TWX)@lYN4LN;^Hmj=2XFoq_&-HTzH$Tkjdksn5XgA(*!_jEcF
z{I{|GchW$<f);;-UsaN`R~4=Zq>;>(Y`847RjAD!y<R@t_nL<kv9yo^0_pD|7`}%F
z5o#4_9rMLmOe3i<_jL?co0ZINJx4Ae$B(q{U>$Cx{j*N_cR*8!Q&is<gJ08M&74gp
z__5cX$?flklVU5Fu096yA4nvO3cjn6zQv45-0<o`tXWK?={XHCMRQ_pSkee6Gnf%|
zZ1hV)*OKazorh`hq#y~L$37v$RN7){=Q6je`I&DYazs=u<J((pDb;xnzX&UKfV_u!
zftPnJE0wM=;SkG%3ogG{H*1#!8Gzc$Z4lMQue1N-my9a~?IToqvnpQyeu$PC78C@F
znENUVjr#y4Msp`NU&jU!mr9|PniPRm{Yi;P+8gZv;DT_QJiuFQtct3wtSUq~Xm}z(
zlDphR(p_dAe#N~*2G=_!e=8DKENBG8Tak4-QRMRrzoyMc|K2uSUT@?4lZ?fEo>Y+t
zbsfFKQ{Idx@FJJ*(?YgXZOlbfs)BLY9-y9}<E6nR6kz1k_9n|aj`|Wj)ai`DQ18HE
zkc(Zf^Du|K7qsLb-Bn!fCb8d|Sl!U`ujow113MphHl==d#&-#k<1x$ZEQu2lWYQa1
zg^U)vOnUGXH6wkO0r`o{mId-VZf4#3{udJPxn~uwGs-Jx@lH>SDH12amj+b4ns{qw
zVPra$HnZ=3U;HcE(ZVBf`b#1ialI{M<Eb!iGrj@mV$^>O*sIlh^7h6yzrXSE$3DM^
zPkp3&I4_RXgiXshfa?Q)ovrnrn<d(~#$Am>R*7l@#CeO_FPuP4`-|}q2q$BRhz`&O
zTsIiJ$XLr_as@a!#M5!U%$RLYCL4vspQ*JR+P*-LDnmAE(2U)Fa{L3N6Shln^DoJG
z70F;X(@fkpt6!tsub^Gdo593c@@{HGj#Cz6O6=|-UqQX+1>X#9s8JjLMa&=|aax5@
zcQLh$H_;eB(*AZN#OPx;^M1J{&sF-Iu+*X#r#GvqX<KYwUF+O1-)-K<^-a&eegNm~
zTc*mR?CYyrW%xQBtjBB}u#ia4K3POqkx$caGPl$%*2M?>!QTNogaH<WYYErr@`REj
zl9*xP!#K!|hQxL~O@V8`*fDY{3FVEF6ICqA%c#f<5=6;Xj=@_)?)uE<N&+Zw=xo~z
zIvD&j$Cx@t02^=UfRbo}(aL{TSN{_q!o-wkgeNTIFw{gZN<F9_z7~@QKA_bH8HAP|
z@wCnHHZi4xhW@O!KeQ($Du2f-8@9Xc9SiVW{jgkDJvIGh$!M~fb@1)xomSNALiMjI
zwpa-Sg-Q|IF>SFaFXHgZZ+=T+r~yiSbtx6O$43r&4!?E1^!h8&-Z)v2^^mB(5Vni8
zHmt4+h?ws8^`yhJhsAG$pBvZN^CW-LRJns52$1EQZgbHe^s~mLh;Dvuwv_z{0}Kgi
z_D`g`GzK#)<QpslX;)DI^3w$3B!5o$Z0EInuchpM$;S+d52c*;kgv4L6?ohES>3qU
zH(S~MG3VxKA({k#@NKi7UHqsel|G8Gn?mI}`*?pr%~Ujzkwz`qXwo(y3R&V(Pj(yn
zkl$9)$Qo(|Pa70#Iv}W8IApteRJ3ZdHeTf{?hFXjx6npzB)H5KniXiGd+oD%=jKkd
z;3H>-!hTc(?zq^wZn7A>=0Knj-R>c0a3#^WAw4)MOuocQU)Et-@|%Z|ni|<;l>7Of
zea)l(%V{bEK$r*0)oS3l)VSXM55rCpKvIM70jGxw$*Rp&08kD(-tD=CUTVB#<7l*L
z+Y>il<dg(10dH4{h?48Y%jVa|p&B7Z+_=*6{RIOjdNIq6e@oB$zT*M-?@!R=DxW&0
zWKg|sDpfuxxKDwurQV>W{HR+%M2t(MW%YKA{S6_o=w?Y@N+u46NHn*dl#CvkZ3$)(
zSNUeMX(xPiwXLJ0?SD3l=WHHBwnNNy&`-i7BmXTWyMynIVJDZ9p9A-sQQ7Yx6drr%
zL=c$-Qu%_m_G?4MA`7(M<kHPYk2Su-B;s4Av0Tx&ODYdpdqI|k9#*{J4ZzN|q5p-U
zel!+@!(do#*ia$C0?Ah{9WzTj2NtFKQPAn)SQ3(06`E~@{u|(6TYX}{9G#)Pp1%hL
zVNf^OZ?GduT&{4Fhxld&m~Y`~pRKyDo~9lgaV?nRBJc7N20BuVF-OG3ge?Mf+z7}C
zCjGCeaf&Ve9;zBPgE^Dvk&@Y9Q_Zd~ret?rmP_I)ckvs;i#f5dpac(}G`|Pi%EHRL
zt4-ce+8jmCrOqx(T6hwSIa;LpH(GJX&X1${u7g5_O<aH*A#GwQ<O2g|@V!rHBnhet
zyD&1GRn6dW?M;QjW401}Fq9}REJ}xhOy4n_L*%R1OH1E?tz{X&9YaBuPe=Ig&1{GX
zW{?S|kUt~)(T2baAUpSo7r1~Zn-xyI3S*Y|<Bkh|vUJdqBX;QlfuA(9*jL|SNUflf
zz#2x2W|>zfU<{lZ042g{keQErI{tGDC;C!*#N-E9@XCfPLQq7sx6o%=4}{{|-#|2!
z+qtjt{>1R2?9ukg6I3yZ1C;zw_xxR7?JQ!_&bKV*#{>skdzwu8t>Oab#pu4Gg0`+Q
z#^pxxb#0d3KQWWK7e<;DUfgm!nR8CAX+e4!VLW5&j5VP~YW~mPI{n#@$F{|IQ1@>c
zhrTnfkK;T*W@4)_fEYF=3b4Byz5D^o?+%zZ=)%zcR-Z$Ci`vbem)<ZQ5mNNp+t5L~
zNSV=fJ&&fN3ufYh77Z=tJ5=UKSU&BX1uym0;)c5@af<$snl2ZmIp4Uk_|1#e-&FfF
z_IjR{;7$2e0f-46WJVPq*mA_IrY;?Z9vu8?J>~}*3+yCXNR@8g>76F=J&5s>S|<(p
z?qv5S`4+U&)LcvJ4(q!nSZe1Kec&hj+GOlP5#{nT)dTUM!zwi*UV%eE`yx;v8~7C-
z(T>)tdAm_S*vnpXQZm~&5~O*XVn*^}=8JP9>#c9sr&IDI>{L=#Z<k>Fc`H)qnW#Id
z4m*V#o1B`m!>-Wbkm<2$TW|`|0sB{7EO%LUw(v-<9|lp%1_Q_cvJHkA>750TE@H3)
zS9WB+CQHHbQzshv6s1YtsOkwT0hrVp555ZQC(Hh@ugow-fY*NFL-5_9Duk=pCd7zH
zJUB2$0LgY}_>!r%er!(Fl4pznj=bI|dxJOl4)QYoEPbGXs3Z4IH7cY<Yc%c3B!~z&
z0SGa;UTV#ro3;2*Bskqi{?OqO?qi9=-4gW5sG%WJJt{@##^nOAt2}?pA*ggq+VuC|
zBc4F}Rp*44QC6-4atWofH2ep(XwJdIFFb_<lM;zog3nM^_h;pri#8MJ3~GyzKfcJ0
zB?Zp0vAEGP<NycVy2jm<rDG8@luYj0#?z$gCt^e`hUu;ajR8zq3|1$FiA2a3DsuWJ
zYMuRo)y|I^?PctcB~f9G+Psj1y($Y^_-6Hcp>;qoQgf}s4+D5n?O6|WHG~cQuk09^
zVbmW$P_RvggeV@P(a;eV$Jqs!k9nmaX-!j|S`3m*)y*$74qY?iHpZMJ!M8dxo}RJU
zE`2}!c=bs>Up09NjtMF_B_bVgF3`l1b;N?(3NgQrKeNmdf`(ik#<+a#trQ#ALicww
zRG_L1qa6`gKK<!y@(ZnxD~t=hz0tgwGI>Yf>=2Ly)CyPQX+?Lt?g7mL&Aku#OV%!5
zop-f@@y2p}pId>;O?N&Qd)!ctQkvH-&TO2P$9v3YX7@sM203mviO)H{>$R1GYLT_L
zWAy0|1Z#i~Q(ZTd&zpuB!GjN{2gp+`|EuFDH{8`F!3}Y2e>dC>6MukJ&tZB3pv(!!
zfrTNYZ)}9nxWXkgOa7?VRt9)L`_AuYRDAjse~vWKUY@lJxueVIz4LjLl((2({5!R-
z5XV*eXa*b%F`-A)y2frNrd82*+IN6wR4Au#2D&AIT-$VZ{*nFR822_0AkEX>(t5J;
zgR{OT9C)23X9Rk1h$%H*JUskEk?rl?U;ws>)hwG;g1UMa!1kdQ^*no1(??K#BITsQ
zU(cpYhiXSXDz!c(ea-~}oo>KdSIk@D7}?4H4(9>6M3#5z`qXOr)(cU#T%E9nzQOS*
z@8h^G{T)4!>>R6n%i2;fb8dOOnYp}&-ApRz(nF60R<zDxNzYh5UakA=5!$@6QuEBc
z{4=Q_mOei4maBhx;z8c9Bt2oSessjg9W(?Vv6jU2zvp|5^!t~6F5H+C<B)uM?#X{y
zyFT7+cJ6;S*vPS9e6>kl4xp(f?(CV-=gSPIo9Q#3?_AHrec_yJaF=#d`rO=B@SCZZ
zFe_9N*jA!$IScb2ceQCa$X{1u{MC>S3TuNgwZ0R^-(f!0q%idojQbV>>x<GkiNW)v
zYv4MgCJ)<^{(^x<i*Y$gH5p@OfKnx`BxFQpuk&`<d)&&0^Ev7oja3f!D>pkC6fLy8
zn_kNtB<1Fe+2jc^k?BB0go6RX<;B~2z$qwC^rhb{{sY`^9@?S+1y&D$-w49Alwe;q
ziMoQKAy#P-66gr6Z!n;(Ow)HJi4pe9-8c2vXQbN`xX3{!5z`b7%1x3qVO-?fS}_$o
zeFsgUq{P*iya(vAN20}u35)TM6a<h#TC7_YW`Obtz*M1my#8lerTh|E+V@^-8*^uO
z!Crwmehi!FQt4@z<(E1u`dj<DBew5h+g3^0JW|J;o#XRK-pr0swZe(6V--YwN{^E0
z%G0{G`?rvdXD$Jx9{aLzRuD~oMz~gHjMXL$CuBx>Q0isJ@#vSC{k8;+CH|zTn~l?;
zW8#+Bl2j?8LY1yyA!YA;%~DT20Hs<|+mM}VF(pvS8*FMCVz@57KY3o3iPw%b5vn7x
zh=TXB`TG(_>%S=fd>($0J3Ao&1CeRY))zQ-TElK>V8h;X&@unp7gP{bty8#Jv5yn&
zi`XT=Ibk77DO}O?XF__^Z$UmyM6nRKrKD46eN%^27@$%8wx{=yd=Z1mo*rE+W_7WJ
zc<W*(S}QFCXqq^yxj$Wz&%&cu+c{ji3=MfBXrzeM(z=8Ll5&~!u{7Xh6lq_+&+EDw
z{2rKl@YuP)45cmPM9A`!CKb~m7N}O(zAl4QChW-Te*m@M;(5x=_xH{jzFnLrx<!k`
z814yfF-iEhhC;l_zMJw_c=$uiVaMq}Ys|kV9TjkZiEoHMTh&0@5T|@U<k*hs773Ir
zSNUH7H<Yb!@z-Tq*N&M80}^~j1t&3#gV{}IF&;&ZeE71gd`H)`9r4nw_bXK@jh-8b
z3cfNdOa?slJiCI-ze22nyW<n0Ji7gH<ABNf*PbEGMvV^D%wQ+LIYPg?yDnHcGzYKp
zmEUZ9@g4_|SQI^&0oE`Ru;cu5Er!(tAhf&*QZa5D+dBQFN;xZ3>n0Vm8+63*a|@};
zEfRWB&x$?_9DW-a@2dsYiTN8?(QCa_<qtkYKOc4b<XxhVV@`gB$R#nA6wFM%9p~el
z=C9t0dBE@V#UPE*{dy?+NH6h=PbxNhNs6yZsO2Bg@}fx9jZ}H*KWPh@f1PD504WQ&
z8o$aFVnny2mm1O_ntvqwqMiEaGV?Al;+7h(Gx{CxBopdOM0_k=a7gW~<eoRR^FF=o
zipzFBCH7TKppf~kA-DfodgW~D!@_g-pO@E`53!#2@AZ5pZkZN(+WItr&+>}1`XpwT
zpVU|g@d6PDTx(a({>9<%x7=|o<GsVKDC74J#9s{!yJYQFgZVh-m{trN&_C^B4p0-5
z(g_@M*6U`#Q}oifQ1|t}VBuOi*^yP`RF+29o|AG^-6*zR(d9GM^2}Mf%-wrd3+HNn
zSQ;(F0SAd6r%Nr21v56fSrAP(!$P0?S%BmF*vH^e3&86j&LRLeDqMSdA8G{Pgo@C(
z|8~!rx6__^Xb8^U{at_nWaOou?jF#=c?TV%E&RwYD$@FAKu0GvjZt%A<cc$61ol~c
zlHtcLj`KeWbEt>J{;BVoZI^xWxuvb`KzLMw#sIK_c!R|r{$wniMhs(h?#DjF0^4E$
z$d}`&h9>pAl}7!hBO{jum>~hmD@co{fP&BqDZk?NALtP$#}2&sd^JV4M^~FP<>5f3
z|86V57;ujIAKQ=Jgvid!aUg}My(k*ty~=VMG~D5jPt*s7*Q06_;8E`DAy?jRuU|B_
z9GH5?iJIT6=Ea;7*payTou|<ENbeo{M!+)W@%>S|AJVm=AKgXfBNOEBBWbN1MgW{_
z@ff8ymEf9KDvObI$oG2hM+()}DsYHlH2$Z|%0fTLLVe#9x`&ghat)b5oX}WCGt$)G
zs@<vXJkMi?4t<{+Hl`@9tBLe0g$qh}Bt6QtVZTY*jLE7c9Z%7y`UCE@N1^+x5;9%@
z*gc7B623HT?V4N-#yFV<WPJHv0{^?|oy$ipxhi8;^2;-9QS;A^Ue(u&L!7~`>x32B
zLHF+b-t?nRf3xIEu^$`_ukt^tCuE5wm^;qx=9iBc3oOSxoeNVJ)3Z8YOM%6b@xPEo
zdc;Q8K_{k&C1MDrKsm231q*$oo<)$AdM_npfPIs)q(&lxjO5MazaL36Y*G-QU0D?<
z_d@|>dVr!3LPto@+V!GySpkHFpuhjj+C5$F^-sU#5AU92+64auLBYCt^0cx5+}G&<
zX?5JQ&i8h92f1cpW3ScX{P;oiQL{)wc<4_DA<Ih3f?-<$@XalMHo*KrVkU?z_-Sq8
z+}zs`3l)4vQX>ZFE~EnYD|K`BUqki(&svTq4pV1S4hs*TVwTyB@oroFRAM*~sR6rq
zabftjc*|q%J`>Mw4f8go6>x0&7xDp%!|g}kgncCqyW%4k+Kupi^BY5D$0|-?<%Az(
z1EU!O7C<l~`s+Ap6$#h{jC)f|KXKp2(K0A7Fk;*Aqr#f{+78)WEr<f9xNeBgO|pA>
zdLo`l0uK5<NXK+Jy3F*4^5<Ylslk7*#IQyjJ@85>0M7c`EA8a~KS`V8UMI;Cbc3t)
zh8Ie0J7)pazOFgB2{4Y)49wmB&jZTYS;6pA&JT)n;vTJ0z%nLn3D|V9TEXV0N=)>s
z^PQfhr&c$Xl+>twjzqhwlyN~Em~UJIQ233gj|yHeggSIvaPO6fjFzyquqF9AnD(`T
z5=;|dRgNviD~EcnP|^SjQ~%x#+l-O<Ra;-%k~h%XHCK&GU&k2wsu|9m&!m6CU+;NS
z|D~^p?Ue?Y^Qq85&kOev_P~ZLl+Y#(9CzHYj$6SeYsQ2O^pWHgho{}s5)H8|1<y*N
z1uUXL$5iZplJFrUlXn3k+IrKn&1dtKg8(HlZi(5)hwuKUYwG)%m^HgdhRe0&%i6xN
z`K4rvI@5H>HubC_v&xfR$t<QJ+K6QKjT{vsCGDhuLUJ`&)bKn7XUw+a6B+>0eiCOU
zBy>(t2y3G!i*cLYcc)5v)z2T~>A)t3M7iN)e(-LJvJ=HrOaX(~peUU!MzO*e3GJwG
zShbVQZ)xt9jCBrQqH?CiT)l?baJHd9>>8oR#d!VHSz$%y!gTFw+?&SbFah!#%eR(w
zY>XBTlM7VEppY30e-gcaScQF1%j*uTSoo-wHI>aP3PiHDLrBUHYVF)++S8(WtM&vF
zejjIU9k1(!7+$@D6qSnq3c9ktVT})1+2l`fd-#xF9Bjo>ujYm7nBv5jc<~)+Se1fC
z-cc7Rtui%vvFYY~I`*;xN9U}r?xSvmSQDA0*9=8$VXG|u8x;;=X3{RQc$-*|EBde^
zW>Tgf>Q=kw@zGeYn%-?B=nY)v-@aA_U`V*h0-I>AcO>g-T;J~;SgC5$z(^}gW%mfm
zSFcF-?(Xe;_BcMc`dIxfug#m7GR1{mam+>Ed6+D^VjVQ)?A*mMbc%AJRkr1Ta>nmg
ztRQ%3rDor?17%XmC}wU*WP7*$7uSBe`52FgVVzO|5dlN;(rk1tfRsqjG-bqtptwiA
z`Q!c=CD^I)<i(&HImEzRm9Z{(6K!L)LR(nhx8(i+X|Eq-yFMfiA9kG+aD%zlEZcdx
za`MtjJbGXy81593_!L;Xe{o>~z?U0xe$H5A<tFpQMx7ueKO!eTI>$u;uy-adqVd{Y
z&pr499<L4U+4H>567SkUuA+7}9OEAx?On?PKq}5$un#Y|^rB5IhrX{n8IQ;={bUb#
zV8`S#j+wV>@vvbyOuA4-SHXuB@<qIoltj{Mb~wh&5Sp9>U@2Y%{_Gkv7+`Lk?neg*
zoZJHy9z7piPB+O%(9`Ny#&fB`Z|{577k2q|;VFh6BL6NgZzfW`GdnuS0}aXsc2$__
zJb@u<jsL(S8UhK;4oxljgB-MNu<@W3`<Xxk2GVe^nPiyD%*E7F;YjG(=bi1QKPnM}
z-(Rf1;rNXqXRe{zU~HeV$Hz0bcU$dVeeVJY2NkJgr;fea<`!JaQ7@I*BcC4<e=0Rn
z{9Rtwpdspx2B`6e%DpR3Y!ICB_;sl8NRHY*XSChirENiN$C8$12`li~2fn}3frs}V
zFl7If3x0+0;<>f-C&9Cy%oz|2o0|`8-`)zr0rwmmQ=e+`?TsVvQktFo%hr=>c;}KJ
z+f9NrqgEy=h1|SyJ*F3v1=*;N0gA^FPViU|^aJL9vmxP$rUZrr75qL_mgmJbNBQd!
z6Fm{%tNwwp8dC`LPZzpB=|NL2?yw2dofec?GedjI2+yaOyM3Uu^V}_)O3=sk#h`Sh
z4%O0r`zz(M?e&EXf$BS|hVRc)npMcfiXSl_Q2-xr+FO%Jdp;wQ<PU&Am3x9%skxV@
zk^x;Bv}~Dow(BdkEVGL<P_UE}-Bhv)$Hqxp6yaX8Umr(BqF#8Psb#SH2))Q&Nbm{q
znw0@Dac91g)E;*fbL#M3|CF9Gqb4nJ)<U`{mCokPzV28iCb;WpA?p#|+^GwZJa;r0
zd|PcP_h@I(!RUm9DALnT_~%$AEO>|D0Jh24)BgfPJnfBKEaAr`!W;f>b|I$)XA>A$
zhC`fN!Y$RcB(-r*@qk=~cKjQLqKGamvs4<O^}(D?T59Z&*=D3y{TnHlXkL8k#K79~
z0F7B@P3v>j?M{NZSEP<`uJ^^K;xM99s@V><-y#zMVR+Z^@5imzLtRtbYOw$cT6A*P
z<3q%Gx)xS#VFh3*r>oS!pHq-u=+oaI<p8RASFcnJ3sf^^j?V+SMz<^xCpu#d`#Hml
z<uc4MT8KNedFa>cR$sYM&9DdE(?57yVq8Dw>v2UnSKJf7;vS28Q^9#<pZt0qGSC*n
zNw44jg1Uf%H|F?KiMyR#xxJC}lnVTb7jK~q57K<bhYx9O{IzY`<a4U7*>0yY9(^rP
z|20J?bt5YRaApy}Thf1j52~H{*`m2sv*JH;)v*Z-gW-zjhN+&PekMCt&%f@o-6-v;
z&Av$f;$6XfoSr^<`F$!OH}MG|eny)C(muv^gvB7H+Ly&$YVVoT?ZmiOUv4q3*MJqr
z8GcRg`jAV*8V^%++;XUS4-hEoUl=GEKz|av7&5aURp%IR9gp(wzgF4BWg0MNG;D8w
zNZnRG;YYhg?IrcNiBrC&z|e_;-X2lejF6heFKMjG`N306UHh>yY}Ce+=4>}%9DLSf
zq?pv82D0|xtKu|{-*sBHWGF{r5{7iCL3*owz}8dc`=9+^kqM^w9R@g*#Ct(0PLXrn
zY`C)V-?$F9Us50Okwt&uZlX*hGk;|Z{gUyR0sDm}{<#OpdH{j3qUi9^7dF3f^xryi
zyw!0*Xnb|iF9xiaVf2`zu3lrxc}NdOfcdjxy}|z2KmZ<`O9;U8=j;TKwgwP`@8`rX
z&oWBifp?LW04NYo;Voe`5j1U<7I(Gps4;@*Hm4mS8}NF(kiP)ceA*>H0a!)XM~ISb
z(%kHM^XgL1d)%UVCPrQ(2;Z9CpsQ^9enzdQzrAT&HmLinaUT;Il#!MQARz(kc2YQC
z>yA@_b^v#2;`Mqy12O>ukUDY_a)4VXUGS2BvUqdJ<o5r{otuLXraXGYU!OG%SX93>
zj#}&j3`H@)Y`Isy&7SBsZr!%W#}&L{PqP(2Jd`MJTkv|0V>#nma80P!GNNC>8?MSZ
z8jn509B<eUB%#%4DGQHy)Gjely3Z|@aa?oNBT&Bx#UInP>dl@5mYHv}f8^BmD$)9j
znm?Lp%9~zgE{MAiRPIx0r|&NtU3EjZclqU>Y<TbVfT%cMEN27=IVL5RqEID#`mg__
z2`3{YUxCFl)B9p}6l}D$9N~445x{D>`~$d_KGOa;^kI1pd(i7rfjn%+WC$S!PK?!?
zeR}feIsb{6K-9r5cQ(`1Kda7im(zY$Be+&1e;Rr|tE|2vTK?QrClTU$aU7p-V^Tnx
z6fI&N7Cyx!V`1UUn;_lP#QGMk6`b(V7WkGi79dsOd>@?8=w5jSd@@ho5MvA!z%0^=
zUoG+?N30e=SvvHpl-PxTc9V|PVoJ@kA?YKx{WQ$=Hx9lGY1VG^Z5u-%EMHsrOluAE
zi#3__MtDIt4PDo`v<;g7pgG<iYft7B3KmvYW4|03G68k~H}xiC^h`$bZvI$CPm%*^
zM_WvCrgq)FjoVt~r&x!&Iv_{(?k7^3`h$i21vjFe(uB)&uqQMK2QD-Nia_LsVAW%D
z%1kub*O2y!OI8ZfR2bcMlddDe%e4KmwWE;7h5Tgljqq$YHT%H<BQW>DjOlG8HZXEd
z$CPE==fNLU#&ha_0UGnC%N{XX;El+NCt_Ft4!PoL76)M#z=`^s42N)xy-2F4kfyd?
zDRQh8^lL_qAhWTtl<E9!8p|P4qmWb!g637yBBynId6Cwix+PbYl6gR6xcI;Y;vnAT
zAI%^yREe0(@7z&8c@a26&}kXVM~v%o5s59%6xwKHoQJFExr(=>B5}9V5l5Gh8!6&r
z=ur6ll){vU{`IYIZa!*PnL~y9T0olETyI%R`4cE)mIpY5etbWer15&%wZH~oO9S~w
z=mj74Bl=-YoUHlZye$mRHVT|9hZqsZ)!r07_a&<kZ@BNN8h5!nbE~jUKs?0qLPLLJ
zlGM3Cj?1a<?s7M)PX>q&rTF&6^u$}Y?<p%2Bfi_f<gFRMv0WYZM|0N4eJWkF25o2|
zw-ozAY!8UPaaDj<x-e_5Vw(;D$2IblAn8(p*Ey)>=7#`!qMg8<9;aACV9oMQQ1DD)
z)%=V~|6m+oujo18mgVy_uc`dzuq}IcMsILSTwa>`=o5Mg_~v|2Pt#f2Jx4RQyrtj>
zj`!$MVC5$Zl?wG!)c7z(<gWmHLJk@!@?_gx5Yt1Yff;Xg%tPG=kkCqv!!&+rr;=2B
z1t<d*E%a^P2ak)a>N%q}6gVZu!Hzr>hh?aR7|ztAXJ^gvPc(oG3S>B%xx_qSWxEM-
zq7go?!={+;1qA~F6$*+=T*J&w8;Jn0g~wV(`>D8%2a^D@=kyuX9O`&Hx<bsQ80~0_
z-6YGBE4=hOr#LU{2M_vumuqcPrB3^Hkmmjk5EXZHw%IA{E0~6GHk0T3si+bqNH;U~
zahxtf(?qK89&*4hyWy{Smu)k4nN{=`e`z~-*U_!2*B&xbJ6<#671vFMW468CQ2iO4
zM^5-pQLgOZCa5WEXw{b&_}z)hsqOz;2Yr7Y`}A~sF8YIy7UCEMfDm3U*7M6agZ+ZR
z1;9VqihmLeM7scY4v+w5w$o>5s-uoA4xVI$Y!H-JB~aXbngl5|Yh#nq;{F}r4TVeW
zyH<yDJ)fo2c?m}RtGMUB9%K$WKB_nY^c2QbJ>+J2XcNe|lQv6-=!f1i0W!;amDgg+
z%DaP5`q>T;O5geIZnMD5f*MFhQ!l;Yz-RJ<i?Qo?OGT;fs9s~DH}N+_hZTM#f$vnl
zZt1Z5UEc4Cf!QPLD^3xZlfbfAokw)-jS1hi4*pQsam9bB3{9YU-uj6>1~dj#`X^IV
z5F-rk2Zgo(FT!|t;m3B64Qy)=9PkwG@^#DyCcq9KLfIm4p?7f-uta6^yDHoh>b)<A
z5c-sPIavM#tZ^1{3xHXHngHG!NNVL?N|f7UZ^=5ezD1V>#F?L53!nOfwh8j5b&c)(
z#9^wsF<e3vvuH@=bdCJ(--_oZnB1X+p%WVpb?@U{+ZpCeYsJ#*SE<ZGv+|X%Zu%}l
zP#rcp6zCKB<oJ{m2=XU7o%+f}rs86%!d?%Lg3nBUyEvQ5f9ai$I3cOzG8O#YYDUWc
z5>cf5YB^@ku?uYn;rnlw)%>2bI(wj2@(l@6(EYvflO^XphA3Dg;uYZf@dp>oEy+M-
z_BnsQ@pEwl69XjxMwU|&P0wxWdD&oq6<*teIsRbdo%i{K!F^*Ms>^lDX0Boh9IbeC
z3Ul0&j%AN=0>~zg@+S!3PMw?~kf^!l0yZi5vacBkAblNdZl@SkV1^bxF|A&+%i%~g
z1~&+ritK#o1l~M*g&wt%9m$beFG#kV^zb}bfE|8#<{}WzCm{$np59`T7$NBQ%4)r`
z?4&PW5WL;XU0bMSrH*sf6lk{Fy-LPE_2^o#f633=?umj9R0~l4uUEp8yM5tEo%^ZN
z<gIFB$>v_AC-6ka_c2p+DT_G^2UpoT`7;I@&Vj+cF(48+aUP*{?1q6-s5mY5v=e#n
zO|1-=H{B@WBlGucFvRM6y%(|=EP3KOF|zzQ$5xoAOa1m0p5;2Qc&|@q%J=u$qGmhP
z;u6e+HL{<a5?__I5H`iX$^cO&OSpdfZE*6PqX2sq@pB#ephcG@FXP5(<*$O%GNIh4
z?76XvYM^=UY&82;N~6xvVnCAHw3ymM%aC(~d$%tr%4;7z;*_FpgC;~hx=r%T&RBCl
zbV$QamOQY#xKc+#m!+G&5+V2WqX~<jbmX7-aKz38N+cm~g#d){^9dc0pQgo^HL@F9
zFze&0$gbMMOcnV7iVqO>>r0>zMY@|RFsup&Tt{K|)gK6(MxV1=t;>K)@s?m~$6Ozh
z5R)O#egJ_^0{m`aM%*IbE{U2wn%aJ5*eyN*Jj(KOzgHmI&dV}fPf{CkAEzM$4&mu0
zjlWHwp`vSJ8hsm}KCa{CKS9BJ+gDYk8DfY()^0TmrpxZepJya-V~!d~uLyK1NUk$U
zlYOH%3|}6X1R0q6*JFxWgOiu}B|X$=5LxJmpvsTX$cb)GDRjhxFye#|eso{1$1-&d
z+-TqrOKYZ<ZBjfw4ix$$%wPkPQ-E%c_4MP<6`WlWJVd)}I_SvoM$*U2etk~S9L@>E
ziw7QiVbVC+h8KPJKD_DtCb>z#6htMIe3Xb#@7d*Z(Eb-bEjHh&tPiYj0h*2t1uUL4
z_;A4*5^2YOcqo|2K4Rhi+DvYmJoT25(~JsHGop{m&16^?tkSO}*!e~j+q(8`uQP(h
zs>+Tq<*8=%GO&GYm)P8m@R3pdvvmZo<p*sWD5-CYhNpoHXI^llng?q0fl&2mDlpo|
z3$h5b6C7(bGZyY9Cv|vt5a|S*PCp9qC2TzYa?D6Ja?ZEbYN?0=8{9<Sf1=NC`*w2I
zUQbi>(oT0X^Cm>+Ysnjnx{?{^76C4j*9N6BJF({Gm9O_agf;xBXt+E)`&KsdE$Wq2
zv=2FA2PXSMdB#9F>H`8;5$Rvbk){}N-)C@*!cSzr!6pVcvx6D4R!N1ql)2k)Dckq;
z2*`c1EM~S+$WMmnXp-D5CYyu|Qz+jyiePK1x20?gVtJf06IzsJ_8wS~Qt5^dDAa4^
zatMH%D4<L0Jh7XZu&SmR=5{Ugt(!l*q=<&DW3!Ppv?TR@-*_P|$txtLEs2%NUcKE*
z`81ef<^S>$K!m2pZe0UyRU<hFAod8Qp`b=fz^N*dk@U&T%F4Os#dvP>5))5uJ)i<5
zBps`3J{SHGGR=q`re(gG@D93}ukbYBF8>~Y1I9dt0BCM_{&!{oF;pVTIPzp4P?u+*
z%rH(omxty!_XR@eBi50^HiqsTP7GG`+%N+Qbkg<f85|S+Q)@?N$bNlaqSWpolJI^p
zuXcdhty6Z6Qj0V>Y<Jq~&hj#lcYHD`)cloR69GPs^-b^hlfta|ZOS-6?SqQ{+Lm=<
zDZlxA8vP;1HdWaPsC~G-Fgl&9Y=Dd8-F^)xFA3lf)WUz&$3mGG-Rt$q)jV8P7-+}=
zgow1~|2fEjab?!ieapC-CQR<{7Sl|}f}{QBQqM)H<e43iw{V}=bOpp_!j!C3a6Ue7
zD&gPB(bd8i^C=pSv$HyaZ^hC6B#3#t|60U=L*CU^jKhf+{+;g3j`vO`gXqdORDrgI
z78U5`4;PMi50!Q}w&eyhqLR<Q51yBJ`WV|gt`t`mPwK{LCFFQSlbxW!np(_XdU7Rw
ztJw?!PjbDj#ts+}8CcM@lN`kHOh`MDX-tt7iOsEN(UPqRmDRI6pj;)DkSAG6`(^s}
zO~inDvbgcX^_5xhF%C7_=~3)4aPc6k|MAiH|6dA(`{Bvseww+p&H(e;-bJ&t-4I3a
z6FquejZ;TX7<Ae&SvtGo@t;Z2+T{#LnST3ay0=Q1Nd*zRWk~ymam)4JdB{*PVNPj5
zcN;5-VfUk0A)hX2?&~rua8gb%I9shrt9sV2WKJ>y5!=HyFI0)JwpS2i-wj*KYwryY
zX)aW&OY4ub%XoP!N0P|d3v(Q+F*1KKeQXD)XP-HPY`3SEFm=8t0-Xg|H-7Yh<LW~s
z%dN)h)LIx6M{j`zO0GnlKLM1u$WU_a1wn9bMNbF`@WB52*or5^6&{P?-seG&KcAj1
z4~z7F0Gu8sDGeo7>k9pMfrid?F{NC33Y4R;?{x((_i5aAhG4H8WQPv|CqnU&XOeAi
zbEbM$uAm}_vU%PLXaN%Pa<TlgKQtz7S{MUa^u5`-UV-9XK4ScF>k4dYo!r}Rmo*5p
zlCZ4t6zVPHYsZ{uHc0{GHAZR95mgY^%Zi^K<=dn-HE$5v9Zlv4dzVR^X;K)VfgbNH
zdkg^zjIU|oLy|YPx!vVdXyoLE3PnbWN9CSsdHw0sZ8ufR6lUGDa(XjhEV{ftHNFOU
zRwgf<2_O%};GH&Xjc5}ixPc25_*ccpqQDj!FmFQUxF>~|jTvTt^_dVp@wqGI_}~Eu
zCJZ)6*&|NVup^X%4>8t?jRT(`SD$0D%8KjBDuPIO8&I<h=kr(mFXJD5-DlbsJO8db
zs->r}l{H2INQ~t(#?N%652dQypB<wjZo3>XeYqnUqD03!L|az-3dZF2V;p1xn_vHY
zToRG*;F?f1zmf@VZq2icH`Jv-@@TBK61Z7C8L_>VHAB&sOJVaY=wsd<`SI(OvXZ2{
zecQ7<&K{>euwtvjrzxvF=cbdvrUXx)mx+y>snaB{IBE1MEL(~=ZuS>ob(?;87MJ(E
zPg-*Oe@q)o>XUEd2#_F{H^eR5L$3#Ss)%KKUnf{(pAtA95Flme5;qtNsMuGzRB0^#
zJFoq*572Jr2gK}6KMDn<N*j6^34o09Ly8-HetFpxd@a59YuMSpw;UU}0~uc&-^n0U
znRtC^drt5m815f9X<&TB?g_9n>Sw#d3#vcey7m_Ei{=>pdW{{P+iqJ6Z8rv|D>pa&
zu6$c5pnrddv<V9)rG|u#7L@f}wbOrV5iG0%4D5hafil8%<i}ENVU$}>$-Z9A87BRw
zb~X`ro+`3q+hcK4p$wv4PiT81bK&(YTB#Hbq8zv%Q3@Uf?A++?N#Ve@?e-`D2YN`N
zkO7Fsw(GT(3sidn#Jcg>YhB7;hpxS5Z>ke}v9>EYb2u2$wsUCg@J8eg%gKR2DbJyb
zmyeUeN9EJp_649MDK3W3qeS#TrwjO}dN8;{hwgO50%;qxV`Nd62sHh^EmAYXM1`Al
z#6}yiXDWwJzj#{$>YaA!m;jODr^q!a@a%FpFXt{)<4)%cuM5^TVk;$3F*}I4QR|ys
z=<`RQ^g=<qT0q$|yun$0t$y+g$I5Ll#n0Q}KU3TMlEviQ*bzFw<xlS%zfV2qO3w$S
z=MVhS3<0vDIAEet8gp3HvzI^J{cOJ-occZcFSN~*M)x0~24o)bR@1I=HuRiQaoR(n
zq|<aBP=L3W-gx<=gY-`cp#?huJc*IqluHFjJ=`yGi4?}@FGjA#WSjGH&3XzG=LyEX
zM{}KK%;^(6Gl94)4~!+z-sp;Io$^&*DUWuV2DhdI_R29lxXIqC-naI}6PX2}PxJVx
zNJ`bB5bd9~HMgYC`eSu0P|%Sk8tEUd@s}4-mlx57Kca}H7FU08apzzJ6jfO@J46eW
z>U^Pw-ss<lIB$T%%k_xQwSsDoYnixK&6@^|Hn4r#5>CM__-^w~kL7UFqMU1vs)CXE
z=W$?f_Y;q%2&`80u)*#|E^@@=dm6+ldMN?TQ*OWkU|fLPya3XL0Vap#-ZAWS^{1+E
z%WHZQC{Eb3w$n~cOC0&wy=em*DdHXh9Kqi?WJ=NdPd9&(2xy7E0?-apXQUU!&zZlE
z?640$u3h$)g@xjaDNo;*2g6wTHTK9#q6{6ZT!ffk`P3Q3{u8J5*zZMZNHgj6(p`<2
z?UHEirhp4M?QbxuQjrA{4o;N7Z!ySL8&>6SbKBtfC#(3fw?`cHxsFoP)OB%}f=QAC
z#l}>W9V5-fxr&1AV{c=+#ae-f(ohb^WfIc2dL5s!Z8pwuf&~@wXEtVnuvY_Ojk|Pb
zQN(><Z21JpXBtXLddzsjuNEmMMid4X!v9e%`d_yT`tkoe>08X!#W~wWE4!&36nV?$
z(O=JeBux3vGEyYMt?X{t#Z%p_URjJ+aG;Mgj0wnrV}CUa@?r~>7o7F)Z^5__QfX8D
z(3Kea>b~eXgM<5k#=z*|=s8x$Ft=z>*!16+{)+Uf1nh8^@M591@y4y!`mf)6B4)?T
z_^EZs5z+2YIfg4vC4)d89Ts6SD|d@O6;Xp9j|@F{xi#@m)zU$+@!N-R;l2@20@Icl
z=4L(SrJMRa2leYv_Bdeqy1&>k?aV3cb^jk5d!w&?5g<47z}nzc%US!ovLelnJozZs
zV$eAD0B=Uj?CjH>$0Q2GWFCt9xyw@#t&{?&g9DPUr|6~6ZD6-pmYQ^{OTOe!;U%ro
zP@iVc-If50@Zks&<}ia7rCw`E)myrz&k5j(sSIeLIr+uMFhY9R6K0>d3q)8t$bMF~
z#7b2KOWJZ`+%i4kC5a(BC=)nMH5J(NZ;b6$mKI4Wz}$Mnl)W9GbWr@qF>aOOgp!Bg
z^f!8MJ)n<Q{~FjMXF9}SUrDRAJ37x<CAm>#8X_UYe-y`$)$xm8{0`NZJrUu*wjFQw
z(4De+dv=)Ez|LU?sS|jnJh`5c=;eQG^v$J7ze=o;=ec&ERTEICbD}yX-@F-p>+Uz$
z3P?ts&U;VxJ>=EfRv_q!hA4l@PtCuoSMI&U1Y?pGRAGP7$5^SvKK5;sm^2$=+|2#r
z;!?Rth>4We<+`|7W?9$y??2aHBsctYRRw6?<1)(L(IDx0Ousn;#J!!ZqODV(&aDpk
zxT&HLiVK9%e;)S>a|yYB)pJGPHDszBZ2%c1jp?xkwHT@*eloChkn!1Fv1iI|(her}
zeYCZyM9ilh=57@fHHb}}H9n3Pd_R*=(;H>_+I|K+*tN6L<pPf{)||fgSr+Emq<_mj
zS6{TW{;$H3HTnNUby+CxGxx9P`9F>yG@-Y^mwkTIPGZK4U%a*yY%a@;;I$e8zU!}w
zPF0Zb{7N9z_tPWmwRK9`Q@7)dDiVdexUQTlJ38Yo55+HXfM9yAqudaCGIUSvuTjCf
z@btKexms=uH7Seb$n6xD>*7Q>y$LQvqgoRcaK1|~GfD!T<Q*j+{dz!&V$`!5kNwDY
zL@O>H$>7VHV^6VS0^HoQ^)CMnoet)!20Ejz2yOJpwPhKRppUY^tKzq=3803n2JUhp
z4($Y@zbfx*T~cwzEqaUd4&M7%S-3<x*u$(WyZRm=PapC}+FwPl=<dRRu;HtX`?@VL
z(I_`rs!0mhcF*(oL(7#{NBVpX?v`^rP39TTKa?05R5aF%{NZe*&IuUZl7GF9m7O&N
zIINB7=tNl*6DVSfhl_^1h3`Bz)}KwDa<*qbivir(dT)8&FEu}OscO%Q-k22d4t^jz
z*;tNVGdepCe0_RUyu3ueEcIq{u68l>QlKZLKi%?hpE-D>GP4$(at?AG?~;4x!)4C@
z=<)l3AF(yWdI(rBfn*7S2}SoTr{o%Ua{IRJLx4+D$%?1;j3|I7(2HEtC5WJ?XrgF|
zUkpmm5Lch{bf33ypSpY!b<-|<QqzcKpv%<a8%w~A=RjE_70gqX1}O53nOFY&$*FLF
zB0kfU<=OQsldM|4?{i45OR~+CKIcQ%jbLD5W3}e8+xq&uZEEbf22As<WJJ_8$iotl
zQFb$MH5^2gk`-zJ)MP2#H(WOKV;xx8d_JDDqo(>Z_Y|IZ2=yovb^O(lOJQ-vR~{G`
zJ_dGkp8G_G1@?4JrT<6Ndp}bBhyCO4N(e_vcA<gHBkN=(37Jtw*0Hycc@RR5B9wI;
zdqnokJm(N6^VoZy95eGAd-HwizVGkH5B`Ajd|lV|Sl9C@82Io8w4%^p?3uvBM4{_t
zh1dEXKn>IRKD3X6!1eO|yiUm*)B%LQRx$5O=Rt9JmKXK8fmg2`Q_bxJb8OaWnNp83
z4zMsvY&zAs&|Z!`g$>gQP0_<_Ju$^A;yI(PjdBfly_cWyKGhUC#H$E4BL2M6ft<Lt
z+tNB6hfI=w{N@ToCS1e@0f*=2zgrHvTK%>tiAnbbzV5eC68WCK>6oO(VEB6;P0X(%
zkNbqDNEh46!K-402B2RERe^Pl@ANB_#e6wycu_~|^XH>ue2Ws3-1;5slt}Vq;jgCB
z1_I5d*A|<1s2;pHPI&9;O>rrZx2*%%9l7FzRfZ`~S*VLW4n*8`SuX~{c5e6tC`6|I
zfJF6N%5nI-OYiks@(y@<xE4J>R1n6MP%z4o1l(TANh@{GBT2z+k@0hzDC_>8>y1nI
zm#%t9pR->Q+B>xPBz6;ejqb|hgiQl)(&=3j%-wrvY@2Bdn^3bO^=k$qz|1p)0lt<7
z-0k^+4<8~A)obxHYmS)g>q@4c<nOgLkxkzmRXd(kvh};-GxXN^ou`;o2MwdhKs(my
zI#l*zg}pX-63Eahfgm-s9bK+`PIpqlVVjKr_DeN?>$g<X#x5ZfMR;|V>?dnjsws%e
zY9gXxEBO1VZWkeMsShN9d&pX&SOxyZpdA)p_1XRiR~q*Zr(ewar#pyOn~(X!%o{)4
zIzCMRqfC)jC%0yb;?!gsFEP;p^ZvIS%S&8@&$TG55oZ1L=Q5+h7jIUD+|k>>+Lx{@
z`Fi2WMZPA5wX5#K#OqIGKwh$GvFg_Fbqp)(>b0Wd_L{CKxMRQ|FYy=1sU5<3LSz8M
z1o}bV*Z-TQ__JE+C-={9d`U&fAvX%bW~DQ&_##q+vEEn5R@scyG++0}XYITw<_`AS
zy=ih`pYZMMJ)5WY|J1epeSMtGFBVYS8tjtau;<u7T`8i$6V~}Xv{Y~3-lB+}k+?0d
zRe6(=xX<ZQOIhmOAEeUr>YmtlDR5NAX+j>(u>>$A_H)ICGa_Lgy9g&?XVdrJ8!|M4
zotA)x?)IvL%`+z<T>rktl~~Nl)WgQ7{cmUP3>ZNSz5Dl2!uJflm2;GD%pEa)xJ3-A
z>?DzB)5kCLb09tO5<-xbnU|FzR2`vi{S(cBEe;?$a^=9i8x-XwGCjMd?uR@FeDpw$
zKX*eOu7I6?h|+szgzal9^k1lNLbZ3W_970C2{qSb3*kH?V?JsCCFgkcw6k~0wPu3V
za%c41*G<~6lv|p`&FuEnd_R=w_e?jaIt)->rD{p8IklDQJ0u6U<cOteFICO!;oI;1
zqJn|kg%~}P!d#%`ZpW~!5;;}l&{{6_>!c;fuP`;2Q@f#-jq5(NqR{ye?*;uc^-@Xl
z)}mJDkPXkK;h3Lq1dnoG1NPlRAzlf6dLV}RXBODf?zXF(n|u0nk<`*<yIcyN<UCf}
z96Ie5GQH5xEvPUTo=Nuq+_6Y#Lp@Z~-AwzKv6z2nzvND`&pWyf@J;AFsc3h%{zo!+
zBbyTSfNw0JEImWNBKDweFIaMhpUZ!Dcl)ll?dM$3Q2uv#hJR_Qoq7E-{P$wKc2>DA
z+fAs{<*Xjlr@sIkGyl1b{36UyzK2NiQI=Kv;9b5qT4_eHr;7460m?Vxg9XN2qHxq<
zr4;8Ph=Jy`ys*veKzJRTWobNU<aXAR<y$GT`za2J+OG|M##yNh7%u8I<iL$MB&2$*
zJVj#gA7bqXtZ|E<*EM3fJl^#N-V%-mvH-TgRf}%di0tjC2ogK{7CRRK#5A9C2PJ)}
z-{qj>{7KzuwBI#vM~<4u*6#J)vnQ$T?>QtkfET)1F=j6^a~U#^zoh;Gez2n(-|n=}
zCTPV!u94kS#&<u~yo1dLesbVOOppU(PswZF+3UyuA~Vkkyw6igHXhx>1G&i``tC1m
zuDiz@KGiGZFIGHWc~|s=K_i<1Q&sz(@erlFqoEM7A=FI!ZB*K`{&EsR%cb#;v78P+
zr%5Vbni^nGUwQdsx@}WxcemoWuDhkUy7fl5$I=Mq<^U+1(QLVte06#!NW%E?!1SIf
z+yW_{49Ez8kP!FJ5Wl4fi@yxyg-+$$fxBi#W-PR}_0vC*8;Lv;d?HnDRpWpAJz$0g
zyoDA?@CK_jwCCU7Q32M$t*ZG{sn;<;TmagaZ}E6{y53m9v^xwL0O$}><tIT?13)fe
zQo34f*0j<eL7LD^kA(aLi1Jr`ReSPQJ|9?q&8V!4dq@@Ikvs49ogD6|>uHL$YWL%m
zQ8FVdK}RPe1Ih7IEn%Yp{g<~-f6ykn{La3(m!9OnXY!})ynzVGw)OwRqNo$z(}jEo
zPrLm0%~P!xIpMcZV#_A^1M~ybD*rLOxQhGccJ_hjkN38vFPEpZqDZeQiLa^z{yvv!
zxGglK7Y%N8H5QgG$?@k0Y})-AQV!5fEU&ui#g}A|E=rFQAmE;%ZnGD6XQxJc>ASyy
zdq>CY8~M>C5o8l$m_T4w{3kWM34A|PR02dy<8mothJN~+M1cw(Na!ozcx>=>>$SP+
z@XTvB`o<?7Y+h~6Q7iOU^BZ-I)n3^$!QVgZ#AnVdB~S*hG4+n1&$I6sCfU2KXnG6!
zWbfz?N0RAk`mTe#g@59ne6$Tsp$z6U|5b-BJ~W^FZ~Y}XTcWmiY^cKZEe3J?dWrMc
z!NSpIE*Y24tw%mZC*0zGl<#wPcz0H1b-t5tqep%*Lj3M11w9R|z+n~!O4VyLYU1{E
zm!8ynYF|zN!S#@9XF12+b9f-7t)gNhsb@R^8G6I;;MZ1T-(J@P5&Eh$5Jl0)Kx%$J
zfs%6{Tx*=r@e(!dr!ZxnN#$dMXLMxpQ9RoEg_rNjV2`s~VEPK-NsZ>P=vP}*QzW-E
z#8hZLG@!daw9Z6xEf^^dE_*=q<B!-EAvo@?97keSN>Jy#IN8F4--TSZ49KN<vKu=`
z1;5{g3sjtac@>v&ONGcJlM0ildaOcmmSo`Ty`1{)ok=6v#6FulEZSDv{U;5$3lB<U
z91+lL>|hX%RU4V?Iy9Zg>hk2J*hvt_4BC1ee93Gw+Ir&^jb9Xfa|*w)WH+epr%OC7
ze0j?@T=9qQO*a-E#Bbi59}Hi&&QL2!=<F>5?8>3;qYx1Zk~?g<2s)N2`#1=3ouuT?
z>XJu@^!TFh3g2f_?7qD0@FV~ZnT>&Xfrw39#P;To|8Wuff5V!_;CFr2v$Y?gGpTml
z|5nkIk60_U%)|np01x%637THNE;`_aR+@?wFsgIpD-NBY+D=L^RnbxDC}i3z`Q5nw
z+s%edzWE9bk(>=pslSVhRdMLxV9*~w>AZXV0U=@g>?;-jWjeBJ5q%zll1p7eQREbr
zs`PR9o^Y*L)0^CFVd*&wdfRh7hTia4o!{dszhZ~#^6ug**v{K7(nj<0_?Z2N%s*@%
z{SpB`HoL9T%L{$~nxBb!#)ydCsK1lfb+s_rT|Pe9AXUHLXjJ0Z$-;cB(cbc<z<Vup
z%PBtzbv5K%&bDlu!%8UdKc_1tdxwqHeerA3ikW^2z!&kg{ibIX-|arqMiXh{Hw+Pa
zV~(MgVB%{Fr6PwZjDiC`7_TSSj6g1}u6j~CUGePpwR3?&%AIYsN{GuRQ=YPS3LKN%
zBBz%d)AeGRN`rYZOS)#B2FPueP%`oZzVAh2k_#Kdok7RgYNq)pt)UZkAyZ5h<!=)E
zGwsSUno@tz2Q9(3_VD;8cO*5BlRiHM3E;K|5^Ut0T5VmHLfjIN2GHXQavQflm(<R&
zo8&&qIe(!91LR{(A<3)$Ju^ph^RovQ-wp!4Wu0mc>fjPB6Q^*ORG_kh73d}FobI+!
z5)~%zaEuNA=>>ky9ClsEC)5lU$}%TgpS5Tb!*qM2FOx}pQpw_8D+)L1HBP>5$QRgv
z+)9^*)P8iab4FY<Wz(MkSpAFYlggWhNvmy5qzVh!qs-g-?o7K7Rm$MsbONuI{<v0<
z;`|1apvmb)aRUb7k_#B!ufLA$t}7L~vfm5lBw&9|uU=my`>TsH-+cMQ6zB4E*W&RK
zGDH1mh4p#s$?s-Lf67OanI<|a?am>l)=m1VCvst_h{{sD5gd5ymWP#!jUiCanCm6$
z@#x(L`IQ~RU+R-PqoiM&N@xm33SvZktDTxIb!z5$XJ9(<Gyj>sX~c+{F#VQYH{W}e
zzIsis?`e>G*-5$+<IS1W{Qx~wBqz|SzHzNUbsuLCB6+cn;n%Roy4z|zOEFBbA4iEA
zE_Uq*<BHuAk=NLtFr?*js*m|}UZCi(@UFnIe3L=lJX*CmcPH(&O{(svzqQa!$vVmc
z|M)CZwMw;m$D_#8h#mQ>mau4lxc3jFq*y(w@^;_mBO@M6XF@(UXSg%Ncgg8YlK<BT
z^P)FvqU3$`k?V<m>>6T=a{Py=6{VEh#^=0spPruW&Mg=$MO3=2>Q-T|Pk7#mEo~KG
z7mP(0{bT`^J`GRmCuIRR5R2O*U17x&e8kYo*08r&3}Z=99ZurFcA<*?>hh@J#@CR{
zZJ#jY3KzAL09X_~FH%|Z_qqH^j`V2k(0C*`y&u9Y@#JeToJszxFv;KJ;0*H8-Cc{a
z@5%Ig&D2=ESY>)6i>+3wC#~n;J6}H8GLy;gU4J3l7w9w(c`-(<`Y0KjoDtV05VdKl
z6QX1P#$8{5=TIct37YmotJ1#l>%9MI)5>)IdE}XUMca~~n1_1cQ)%%T%@T<~wvr>r
z+aL`)IcQGq?)E7uCQiSwY`ogi*Zlk2YTbS)QaiTyWxvL&@OIIJqPR1IcU+AIx^m+(
z7J<&&b{2nq{#CK;MHSPLIm52r^Fb&mZ3bi)9=401Kk5^|JhFxD7lt%0TCL;jyfl=}
z)eN$XZ<og1%$pB2z*q(SXWc`kjppOm{^nU&_tUbvdu8;IxB3R{Cf=Jnark&-&DYUu
zz)lcFwdd7c@zXi9fZ!SHKK;AYTd8@QJ(3VvGJopO4Edhp!}LA|BD1JxOCfMNtZ=<l
zhWDsS=O(!KL!dwM;HONit0vMje`TdRVE_f*xSn{_1x+0<oL=|ww*p!Db!dpq7cQ}-
z2|_`W%+D*+omCWzPhU@>z=!-~9e!3l-UtFH9{o%heObT(pG`Q;nqSaYGTw>;Ydp`%
z^Kl|rdsw0gEO=}@S~;FDEgQK%lMUNn^s#Iq?HR(Q)<cS5b=`gE+ud<MSJwrzdm2(G
zTtPd9q|%gnKEQ13_0|lW71Vz#ij%-NnKgxxo=_{&k(rZ8nEaF&R2p>OuKploz}4{d
ziZRo$q<=0n_c}=@g!2WA1Rte$y3*q#U|HO#va%MSfPm!LUAKT??&iPbero^fO=okn
zFh@e+xu@dkwQ=bk+jr%eKk<DuYs%6_W+e#%U+H&Qhn9`TjV-G$4L3=6f!(}+y!`Wn
z*dTYZvt?-z^Q@V|lU~it>|KRScA0?*Wb2@=0aq(hS$|C;#qU-{?Axw^dq5GlMdlUi
z27Q1-lt9GQ{alU_lGGp8@!)Q`QQN<~%jjd<@dX(2K*nRw=6AkGZ{gFefLC+IaXy7r
z=m50JxeYn|yoAl3=_i4qs-~nyPyZMCmN3SUM|u=B@+HInPg2Jf$t%8#fhJw&tzQVk
z=a1n`mm7y#rQRzg_W~+a|KsUbczyRed8Ag#yFIT~0|Pzu?FzhA5NCa0<<21no^PAI
ztsvh~SaYzWK4f@W-^Xps%95KMWPgSjH>YcI?v5(YfsU=ERl+=WM967eeu|*&VAqF9
zRD7*|GD@3Sgvek*73kU@lH1D2liyo)3?VNy8FN!>54{V^(-*xc<RIv#mBnvAj}_$@
za?i9qPlNeT`hU7x%(YOQlsAP=$e>^bj(O18O0Ee|OW%7=t8UGD)<ruXK5@$wzHR=Q
z^93_W!SL`h9)M$aTKKsT8uXDT{49I2v1Oa@S@pWn`cL;>Dz~YIy}i-|vfz&Be3`lX
zc3h#AUfRH8w8q@Jmxo_v@paex>;~Jx!=n(5IaYtE{^va_2tK#FV#NsqMb14}bHog|
zdh#&ZBPN4S2BlEKi-h9@g*2rGnemXf9l!~;m)~D;(B-83L!y%35;`9ZhVOp@fpL=o
zSDANF2P044_);tm9rnmraG(bR<>of3D#O+PI_SN~C}w(vK{}}t4J4~DZrXbx&8;1_
zN08SZL*U4r5|-M#buQge;$wHm<%Ut@?W7VU<&9;BsGo#WCGG9&R<O)T$^WkQ&=p%_
z-{&K%jz9??e130k_1ndwPdEPPj?PAi_CA#CRSS@%Y>Zzp_IYJ2x>MFW<oG7drp_es
z#_g0zwGRtsc8G1XbL4b3#Lwm}JE&=6*l?Ql$z?PJwoo1$0pA~E66d&%<^P?vh+)B#
z9uRA2i1-I!N5dz+Se*Lmw|+}@E2QyW?Whr705Em^hQ*&?aE#Be=#QGKX6c?gI`2ka
zhUU-9Wsv1qxovXcGRw-y1GeD6p~0#%mSq$7+(f{AE-RW^Hs_v84i+k2F@_?<!F~hG
zc2j=D1r~3H`;O8)(R^iF$?Rg_4RT?)zGboKegiq0XTbv9dIJKlV(yAUErVaCgOVYM
z9(yjeGt`oIeQdoh^Q>angyxcY-Dtt9#R*RuH10^L_j8r90Tq;gZtyOr%;3}t9RNE!
zO!j8{+I)VcoGm45b<5x5E9OzTnqI|j8F?ci1Q@cnm9w1nuLhI2T!uj4GA8VClb02I
zznfyapACOM0c|RZRwHs^sqg*~A6)g;bFc^X?344XL({x8WSE`X{dH0}Ej_!Dw$=s$
z130Oarp^A)#?=yikPPRf^hj;J&DS!by4s}*_ey><xDz<2eh93w#!y0tglTU#frtbZ
zXd%MJ>6AS0^&UkkSWuTdk7Uhjl4>+)`xhk&J2wnD868*?t>_Y^Qb{pZ4^U`#!Pz4p
zZsP?Nm309)RknV$(6PF%?sQVtxZN9pU1&x_BgaJ@xe?HAZxFGBnYbx|PFI6wM$R&1
z%rhhrBJDf;Xh6gpt*}P1@O`sKc#OszLx8p@IIiO|VYGmahw9a~VW)uwf~`jl;Vpt*
zY;rz!Ew!Gvy0jyio>?3+NS*zjHq?JMEC!gwr?cY~hfkiVQgg2lh@WXB`{8`@PaI;B
zSb|dg6r$0>C8L_Sl<dGR0E7u~f*@<V^dJGOTDzl8khxW<c{TQ=l@)~uOpZKS$SPXE
z4DV=X<kWc`e1nVx=WS^4JJ#fm46A4kZA3E?t5X+!%uj?)-J-U4rB~-??FOIE?b@!$
zb%I}~C#M#5sl0m8ZZ9J**l<Gf@-a0jEmv+7QA{&;Q<fl%D(s;#Glb5<{A2uL&vs@h
z-(7jM^?eHZT^=%d0Ab(L92zcgeTrqff%S`fgy$G136-!M*4vCqe=RP>8$yebKIdwB
zQllE~F1c*EhNa>Udw5%nRlvyug}2gUv3<}0f7R~Dt+V6%)#eq2TvBeMRW`<y%y;Y6
zghq>tY9y;I(5_vVfg5+MV0QwTlW{^zhr2`TZoZ>Gxb%T}YGk&HV~qClI8&U{d2JAA
zGIH8nSy3d~lJ&Um;HSEW;U&@c;5Zx80An55o!ZeM$t7g<*JJX*rVQU{R(?;Ev7#uy
zmzU$(hJW<zbR|KSJ7&KfC}FPBKAO`1xBzbbmlY^$m-&dKedak?S8dU8^%*!qw0h*5
z(4-dX-OTg5cbcUScDARS5ut22wWzPH0m_<q)zd>8Dp7PLwdFj6_!vtcN_uVy_^I}2
zakfE(h0(s3yZn9*y@k&M^`L56Hnv0f53L{GQUo+dbG{fWL-4B`&`y#c(74#FYcQ^b
zc2}E!aDpB4fWy&uOGAI%kA{@fxC9&eZX=USId*?oM1K_(6?{2%`1x;eEPAi<P~5+@
zWDCEN!lT&1_sB=2m;bjwVRGKhi<+*j+**d6?leCfa~E32*=$Y7u<2dDGoz-tT!aj|
zW?Jv=?Cj#26I;DAc;nY2@kZv0^WA$fgeh>PgMEP<`R?DBq&bGt5VckDdCd6ixQpth
z7S3YIogFB#$u-zj)0%LC8bT^xl&+>mDf*`p)fuC!6($Y(481gk!V#Z)JGs=?(!f0y
zF$i=5H)1Kypb@e7u)gqk*FUO;Q3{60x7uz_y87u6K;VDF)}ewCtA?ji<T%oV?3A;?
zxJXckfs~HE%WhA%!WB_{wA1GDvHElsn0+3SA1K(dAWLL1SmgCp!Pj(762-cIMuES`
zzZsKt%zS5(>s#DJYa46(k_9SJ&IBN93-mW}bel-4^r4g<7qJQC0*isn!XaNu7D+V3
z4QApQ2s|#p_Xuy|u-j*e))Pig?-9a-lzCio&Q@)xR^QTA)vF&=6gF8beWMTMJ?B%8
zcx}a1@SSy(^8MeMZvUyJQ;+65!05vhdfBHIlu_nBN%oiNDEK-)El9Fad<JGW`~2_A
z)6GL9P4E{I3*IUxjs<#P_im8=C^S~KIlW0ny8LxJX^+hphE0aL`@iM4;U<Yp8F>f`
z9oJPGi$+-P&S`{?gsa7$yNc+iCO-|Vr&fK}V>uo|2*bcN!%UYzNdL8*ZW^a14B^An
zMnVKJAhS0)_7p`{zJ5aQ6!MLy?H76Q^V4e=hx`@Gc`>0g2-6{i>Cc-&%F?aJiy?=~
z5@?;7q{M(w-g@HG-G<;Gw69dk=uc9bXk!zKIl=Dn=t}CU=*7nz0PYQ~x4Ejmcy+jt
zE?xh_w)NuvmsdM}_EGh7&gq%GE5oP}m>k<BtRH2}zA^-zZf^E*BX+^d{_?2V?)n>(
zN`$289Rrn;n~7J`3|SphoV9mHY)0^3V%0QpzvX8T^TB+_zG~xh{YOyCbV;+B&Xn<o
z(0z7LDdU9z7Q%*ic>xu0h;sg-PYH*JD0Z7O<2kbOe7@thf(s`5(Ft3zq4q5M&Yp&H
z`F1uR8O7-*zJLRS4vtMj?dMyRDqgMR)=dwCs85;cgBjMgyYd?4p3yz1raW}}6q$p`
zz_?@6bYs)=Zt@g-Us7`e@=7O<Ki-i4S~g=_S3v`=Gd?Pf&(S~zc^*}znW?$Mez5i;
zV(NfiZ*{J+GPTXup&0)$H^fq9t0BOarBb#Lvh%Riz&~hs5m7cHx}#}YaKclnGA=y+
zBA{#LDHOQQKJ2GJ!tr5jhg*{q(g%8$bKhWQBDrQ!p>Y6P{O5N<0ML2oVgEQ$AE`Bk
zz!kQGWrdQzuJ5Vw{faItN9IGN(nnt~8hZ#32c(Mb>UShWxPVGWn)alC7YH<_J9|)#
zh@~{`;K~S~C?7spikl^4xieiz*HXwimdx2JV8?4e>hVUVe(Vvt9xIFv7Ifg=w_fOQ
z;&F1JtK98*hsx>h@}gW{`D<*_J~^?>+E6a}H?S@f<8>VpG`a%$tDg%fYU2NBQiE2K
zzhRnB679MyR~W8#_RAWNVvc{+y1U6le7@|8i5P%~|B>9Uz%wvdwY}SKvC_=^@R~uX
zK1Yt_N7v7ndaCFl=R&|GxuWRzzKGs!k&a16miqmz@z2e1u~+jybB%YX^6v9;eX*Q8
z{4H{Dg99kLAd<`DNn1nuxR{*@HUWqIBg|+2gI?Q(sjdm9+4o9h@(owE;p)5<>@z^s
z#Jq~rNs7(rN;AHlldL#)SEvz^uHPhJI6^5)Os4kJZ@T~IRH6LpfpZrl0%rYW2&a4R
z@i_m_QkGYHH>1{(8l&P3EJTPWVo&$Su<=W+@EEo4^U9C)?}cWR7{(a*V}6$I)in&3
zi7en<4{B09Zh`#-#L58lMtPI=La&scf$MX|AeK$`{ZJW7n+?8fp+RV6ULS?5+8Y#?
z8waVu#JxW+>-=_$?!}5r(2vzZ13bWUUTXHo>ZrG#&i2z?5XDMlV^2*Ne#OL5%Gdq_
zOM}kSN<;f<+3~J&=f@RUiyXg68&{uT*~q`{<tV}MKSX^NmF{4#Lq~8ExU;-^b})T9
zUyoEV-T6J7MfH9!3KBlSpRQS@DHNGJ&5F`@-0N~X8p{r{u$@>}cNRe{+38n48QN}c
zE*M!GW|=nZ={WKrC*D>d_Oqh>cF>RRUx-jwANpK(hP}H*+~jwly^m!(WF}q$5%HJN
zDf0l~86(kp8D=om>;Bm<ZT^`~HAsxC_Ar3H=h=3=lh5XOa%j`}IoLxO&G&BT55-+d
zw=bJ->i|K;t>6$N#-jp)*Gvx4XN*JlG;WgaG#RreT?LL5grHeK^Td&>aWwyDknmz1
z;u)x&$xc`Cvf`X9=hLu!Z><u5QTpQejYuDd<YPI)G%Kt8tCv!d)$CGj35$qz<G`&E
zO&u?<Wos<X*SalLZ9zZdwIMR~drv64jV?fRer9N!$l=AD*kHT(=AClC2+fw9Q$e(K
zEAikiaG)<>&rOP{$i&co5VY}^eKt5^DjdH5!U9b}R<ueHF(=48pX0gxea>3(+`m7>
z$Tlto&qe*kooZQfVo9CpIbzis6dPF&p{KqSvR(YnzPpxrs7Q_2RU|M`USc_cnEpM0
zikM2UgIRWvM1ql~vTSpXdn;W-n$`BwIA2HibjEaERcXOq87`(&UdA@ugLjGs0Hyco
zUJ086VfW-Knb3ll$ah~^t8X|PUt%cSw>x|<Bw9CL(EU~zwaXYCB--ez{A3%TH3w|a
zOHs3m7Yyg2Q4&^diycV_RWG@tw2JrHybzW?C-Y8M_dBo7j1ol#EZJ5nqNe-~*Orob
zKay450)c}$!>B5+hwpVh*X?P!X>alQ!G8bx(=tq~3RSLX`!i;D(HmrknIA-3H5Ei)
zy(iqBF^13hFT15hjaDY#lXePD$*$mFs3hjm9qmjLWIx(sH>Tfujt9%`91B{>O0raJ
z&zD4w>;6$bo=6xxy>XKxdnD*+lY1*bPMb?pZ;|e1+_<p5K5w1Qw?ZHdk^DB*E2_38
z#mo~Bq6AT4)F%NJ$nlS~Jxt2SrYslZ&*IzvN({g>d4b>W2gG!CIO2p;ZB^jDlbIuD
zB+9v8;3Y&|OpVBt5*sogD@gxnDVa0&H?Fe%vH?fw%{JbO3XWTVyfPs0^21W7m)+pA
zU+q^t|M(9Oy4XME<L`^1eKT2rA%#~EM^k)5zeiRA>QFhxSrFy0ZPy`ECw91tX>FKb
zif%WWj^OJ6aEyKELELSn{WQLwdyRq!jz1+A-jJACE`H?ih@p%WicS5|lIyhZ9N%|u
zdt+~j#4&3)q9s7wW6sk0LM7`b1t2=OE}HAU1MEJR&sC$Lu6l%@paR4Y7s#isf$>HS
zirkiR*>}gPof2Pk;}(Gl3BVZX(wOg~#?eQ|oPeG3C{3`B(f??JtV*ovNGX^#%S$hP
z<QU1Z=`^<Nf&0rL8q67dRr8j|^CAe0HlN+M>$hVT-;biDjl0)W7r%{P5my%rOT9%a
zORSTdKsT{p@g37VhY#+5<ImvcdD#oM)So~Yd-{rFtApyB!T{02RLgqMpk7!Lkz(0f
zpvdCs1F)J?c$&|j6hC^Kxr!reJF~L`6)5vPEXTTZ|1@1M+isxs1q=DCeL+GmtKx|j
zC#Gt7^9;|mx8Fg~VSGNRMElE3<hx0Aoz}u-zDzYvLqL6`+QrBSJm%^BSdJFiG^qPX
zXPVOCkYesp`pg%4x5wv=4p8I!HUqmozkL(!V=KRLg@)YeDRMsgYnb$?m2I3E3~ZPs
zVlwGH#ZM}R3vFwn#wa)<#ikqt&sR6Z%P=C^Dfc2kB(6p|1JA1rr~8vOlj68Ry@@d=
zl3QpO_jN%l^2{!gMgl+`0kPtS1^O9tOT;5Qr7Heg=;u5&ycU*P)IGYB^dy}l!u5-H
zZ;XB!oN1Ail)j%xaqhl<1V{!olZD9b(=@^zK8I2%gTw^mcY^YQ-GO>HcOmisC$|KE
z{fkBCy0eG9Dtf90$Q4YcvK1F)=v#^)Zz?-RI<i9vo#N)t!O`cVFU1}_9RE0#a$*zj
zx2@Ii@D=3XE2FqtyH8P3jYO~?t$53jsdVBKT2EBZhlZDbOh$}SwGrM>u6w0_68quo
zHdk-m{~Ehe_SS46B=pZ+$bk3Y@}yfGq&Q8GEqRIhCUUYeQa0=)q~dt1hv^^GJpEtX
zvH@UB&kn!eirsBSTkIBJyt`|6qS$uT810%whQtRSlzs;5LXAZYWa{_wt0x6>u5Imz
zs`eY`?g8!yG|f}*?mYzALwCIwv(^@yr$#S%(z-FokEw&Hk4HcN49auPbu@NV%8l+P
zwT2TGD(W+(H|?+4)R6xyrC31}2N?c9Q{DGor|TJJ^=FNE>9}oI<lH?}_!$uNaxk8=
z^})51%kSLU_s;I&q=0rBV;jCPt>-;D94*J@9+fD=n(dcx(ty;v`^(WIL?jpMV{TFU
zPS=+7ci#pUDg;zttHqc9vEp1{@O>>VVkRpdE9emAkDXMIMoy|<;c-6m-_l#bAbR&)
znQ8@A(0*B*yZR0=7YV-XGj2-xua=SB`!}{M;$?N`Q?_keh96Wtz)1CCE{T6PhOG}S
zz5+nI%Z#PFWk^*kw)#?mG-2{SOBKY6{Jru<+_SwAQbn4o)$&zcFKDII&@Xs-P3n%&
zX%@BTh-Q83#(3G$+0p~s7lT_KlTL*d7@5LF^5h&p=rzXUED^*>86-&uMBn|o<OWzn
ztn!nP+H%E}5OMX13a#zEp5NOuecRwJ*|zHU7nLW;sa<mcVPgK59-{gz&~12<$TdHh
z07jgSab#D_(h+K0sdbmy0wI99Y-8hxu)8(7*k9fIlksOlQwCHD34z9YLhpu}ff*Y9
zIj_hi1_MMvss7$*gGb~uDVPRD|BN?zo0Jdd2>!M~$FVL}%~`R-?`g+z<Z;q8YqF7Y
zS;;fc$`)$9(Y4`3nM$j1bs+_}hP47`pIrBn!lD|X{m(Kb52=$<BJPf{@r2=tYP$Ln
z(i=lBtI-}BWIr~7zb+_mZb)K}1+i>`9TAG%<<2l3)3&mCSvcI=B?htu->3Ys2?xw%
z)vagTH5Q}}pajqBkrh8sV}xJf^^O<f9-BBiG%`G|@yav0d1h=_i#l%bGv9K0{OHZN
zEb4+a!r`SP?&Kv;^`Yww@?V*ot_6EyJ4<?MmFRUPRUAHTa`P&#solSE-r7Diz<g(y
zU*pw_Gqn3S+lB#d+ui~))=N_{T)8Y((&f?R)jr90UQnCxy@%^ZCz-X^<#qG3%C(A$
zIZae9sAywRhX3hIj^HGNjHr>*(IL-egwucNNzN08DAIcoJjCkX$ooqARBy;Y31EqS
zk`jNbA5C}?a?G<qydM9~F)tvLxzrKl1W2?(CEvsW&0PJBam|1^iac3)P-^hi*ek|c
zsCx-ZSGRGd@t-?}<B}YKF4t<3?IFkARv#rU!4XerVRm^Ck)%)s{^5-I(2*UqXA_;E
zC!|n~5cm)JX=(!o1uq2}kd4hF*@XA-Ebn1;P)7Zfcd9~C#a~nS$S3^_xsOmQ>63Tj
zUve9@GI47-W9%6g_t@F65sxm2o;a4R=OI)K4fvnU5AlF$E%mYHtIS_W7^%6{q&gFd
z>sv2b0VY~w!aR3g4lqWv11Uaowm)jEY<g8c@++6Wcu`7n{Xst0wa&FIylQW*`)Q+Q
z!ws<tq%<)1xKi4t%1Yl37P9T>69ql!iW9kfQUlh_WrTLyUnLMUw8Cj?fr8o?L63;*
z$c-1-m8$30rhLD}m0%US{a{EQc-)~1GJhw&SX6K^-u|Jk&4AZrQ(923H``bRMRnq|
z*MNOXU+gasVS1v!sUe!y?U_x!xtFkXcbCp><<tMgB!~-4Qf69%+t^ZIfzE_<pR$99
z?}X72=^H*l38I6)H+Y15sSEat$K|`hgAEamj1^{^4!~RK1sednvu)$eC^;;;4d0Fl
zb$4SPRV!)jXtC1hoL-Ih--p&i$w4k;6kF^RSlkHpIB5dozWpRMwR`@mWnp&TCTeJG
zLdGySb!A%XoLVU{LDDFgO_-PF*dVp4WCduV4S&W=#Yr<tYAS9jn#S5ANQ+H-mOMO=
zW051CxNjqm2zJ;Ef4g3|zN=!l9W3xE7H822d}`%+hxAx!IY9q+7n<&n*8XbPXE1De
zwnqo$^T{W~%hdW;2(J&^(Gq;glazHvd(j0!53eN+SN-h$$&=?cP`G_lclLpzgwOel
z(9l?~5-C|D2`36gx(75ud5TN%01p%{i;c*}zaVo`Ft_EC_=qU5Di5%pxN_H`tVHYa
z_1$(&XlBI~PKf-1$huW7<M8tM%+Sgg$DaXc-ckb%ul9OG(@L|4$vd0r$O`<*6H7$5
z9Mdij<Nupmw}o3#OnX+aXop+GXsx05d4k=>X^^q2-F$KTpWodzd-L9LW7r#qDilgk
zt1~NAe;*|wNfClUF2z~-+W<Oe_}Ou66hfUt`bx@*Cz+?<c&2DZn326JbF~4an}UXR
zF=<)#$N6^J()}287?AMM>0oODT)ehzc1k;!+_zn15z1{;$c}|i{-iTI%YfI*ik>~Z
z2IO&)fRM^r_kgFgZm0jvT-kbPNA@F_xJ~KE-!v{iGw&r3*g(Zu{Af&di_W*Q?P>KR
zKSIzBdu@CrrqBuG%Iu8r?o>7&>LN-gfxz)-zb$mIIQm=orqVP?1a4wkZU@80qBG%4
zi5!!qgwuri>0|;!#r)gh{WG0J)jT%GjT+irLkfG(Z3JWkh?rO`4f)l)Wc&`Tk40o8
zj6`P>6zS&aHeH^HKkV|FsxUf*0~oh7XS_q~?Wp6L#q0Y9eKZ%Of$;70z$=(9EZ33i
zG<PH9XTx?3WN5D*QoK=oIDb>Py=z-j;EQ%F^%ZwnBdaUSI5m#Zj@@3DF&~0jkCRmh
zGBmR-Rs)ir9~*aX!scu8cQZXhfdUk{-e{jFaqtk5GXMJ%kHY`r#SPt1z)|;S!7r4m
z0ga^G8m16~K9)d7IQDJJG&;MI@05;k5+*JG>h0=0KtMB{A+dDe-v5UA5&x-{bRlzm
ze;8Y4XpBk@qiS1o;6C=$jwkS|wZp&spf&;hB=+lA>RsH=k4VrY7s9vp+D`!k<_eH3
zt7Dg=KwVysq#!*2Dbn<;Qez@!!z%*#JGxz7$uawgIB|%<Y&Fsh@atRIe!I>lt_Ior
zT_OaWkqNc{ZW41P<8PEetKXV3U>qu9{l<XQ*EStsgD{G>H4uv5pOLK0CmN{+rQY6`
zU2KwN#%BuQA^__UNcx-?biNemaE6UD?|MJIK!^t_sIzFV-rU!Cy@ZT}GiZ`Rj~oEO
zeH602CIu*%PA!!H0qmh2uSy0Bo-F6PdBrzt8|)r>tsxUWdSzh5CtD@{&E>&>ScVuc
z4GN!IVA+;;3~iH9!yvZTm<>Um*BH@~{vY%ppKb>`nBEdpYyLsLyTKJv$xC{BI{R$(
z?UO#$<%q#f2{0`daHHkFCjQH6P)?Dk6t@Bn8VItTS&Nn~FvQ5!x3D^qC2#H}qx+6#
z@E63S{>>4}f||mknwY6dw+<kPBb8$R9Rf{zr<vvh{l=iIQrw_D?tQ+{Op;0MMg4L^
z>A<B%Kxh&u*I%A1Fn^u}<g&&By}aaQ5Hngxz5a?8I-ICyJ5Gl;U+v5O_9L`=h1%iT
zVfUe80s{{sCE;`Ltq7sK3IH#Nsmrpt(*(xQ?lG%7%i`82rlfG;3Az5ZNO^8*9g2_>
zSu~AH(Jk?8f^2IxAZk(JNUbn!QJ+t2#S3zO)KyAR)7ES&KWSsc)#n20vc@lq_n0Iw
z@$NgH7YeV}4B)Og*q1g)uMj@~uxjrs<lqcsYc|;L@>i9wTcx;1uJp3@Gbr<M#_}!l
zU6C7KI4LVk3&Pk3w9&8J^mte6aC&e-6(pWZSh-8+lx@3nZ;PyonWj|cxI;&D-6+kr
z(!)IYx}ID3ecWKg*Wqp#Js^zp_b>jo9)~}atN!G#-t-Li(d70hQ2>DMW#&1-iJh}=
zc^usqTi0e~jQ>@QeAfS8HN@XAfT2``Nw)$LfhF498YXF0FSO({&N_m3$||UNJ?y_P
zXRWi#r?|OQ1Y;?5roD&w&0lALnJdwz5UmaXQrf!`$teLq*y33RAj)?@q~QByT%})?
zH`z76ct?d9nAliGJ`r4hGvY7xOdsnh;I~A+4rY%YVG=92J6ZT46Z0dya&~_9b;Xwp
zG&jM&+Lqj!3hs8M`@I%5MF%Zyn&}s<DRg(F!ArVz4D*)uDB(!#1@n;$+GxMjR(=vQ
zU|705f8fG=5u4kOO<25tyX9C#Z5tnvw4U8IK-x>B2rRAl0w$8)q={QR3tk8}<4t^_
zIV87m?yo7Ns-yBFp*8z|rW6hFZGLsxw?ZJolsTf1l+o27w`2A;R`M22(Ot@$+<<YX
zPK?2waPO9oZ2+(A#qPlKpy%WQa;bKzTB>7RQ|Mfa1pIEl*JW&{4k}jzuYG7cZoTO4
zGvMf=b6xg!H3)rZw&ygCp7i4LTF<;;DVMsm3Th1-SKV7@x;Pnmizoms5P*<`1$@6f
zJPBCtAu<#D8O4c#v@XImYC@8ys=DAcL9+~gjgp$h!~I35!jJmZ4dTN1CLh3n=h4r6
z_3no2Tc^fbyKX{}iACyl$@=|)F7M61<ajrc2L1yx&F!+iL2k2yz^LpD8Y1Mu1*HL!
zr!RiPGP97Y4tr}apdtF%?!8|N%kafK!lF1Du$&X3)ul?InrUB|Z7V6RF~KH1#=7h?
z=7;sKoPxrZJKifi0Jv)fLG%3Krzito1m9@9WOZPLYo6~ug@D78+IdAR|3j?w<rqjO
z93s;J_y=sz3teqrn2Tu6hWDEL)e#&Az&uaOZo28J>-&aEzD|D{=Q@IQ+`v7gdZnzh
zJqiFsd<pXchg6PT(9$yvBSlk?<l%{dkDvkaenFk)2+;{`9dUH&KIKh!8iQjbK1WIX
zd`9}jqQkw-iDI|Cj!9>H9t8G@o)VcXS*vx=zlV_Zh`E<M^}M|Zr9I(}=owDk_V*w&
zyH$#-B$)a42-hP<p2Q~qrF63kq77haZQVlS`^f$N=bZjG%(9OvIvZu@^9j`&x-E$H
zvx@Ovp4M)K?VI+iyI1wpC@uMgSen$7mDpl^3|zMFi4P6^TuHz`D?k(x#Xa~?e1ZJ9
z&j{O8?TVE}0j~}nqEF~Sit&!VMu6h^DH4(t`oX7(qJE@YldHmoL$JG?VeYh_hFC%a
zW{aUtLsauuij$YZ|Kp#wLV5}~+Tj_S>lit_!HmauDz3}i4sgqsM;f~wGSwZ#8Sg}>
zlTo)Auy}@AV?5uArdF2Pe&Kf?+IATKX}SoF43i0C0=ekWl+rx_Of=v>KzH>iAK^(f
zE@a_J(fJoc=>Ql?9Vd;b^(pMGp;EompLSA|hf!u8a%%OtIn`nG6M0^w!BcDmXZzh*
z{QRs7i9B$Sear(e5x{v|fjY(-I-g^8XYWo@12G~NJJ=1famaiN4URPMrFiJdHRGjA
zAl~U~Vmz^-zY?bR`=8Vu-0Y;#kpzG}b-|QX&JJ2NhSJ^BoXpi`z59Pa-Ly0tCGFDg
zdsZ$RRm2@;NsbD38!e1cNnf^gTQB$aMd*m~X2d@!SHR)y$z?G#M_1b<iT$ni_7j83
zr-Iu?qU}@SoMTyC3qDOJuijAa+<V}#YvuQ8q$Ih1*W{nO0@eI#n-*)^inCAD7YYaW
zJfP+bWEiNd5a>Tm2DA!$sK&E99v_msBH)k}`2I``BF9^vIPd^WP1@)pm@LfJle@S+
zCKmM1K1#$GW=9vL4Exz#sq_;{TuKdfw%spk`N8AOQjN*;-6XkTzMM#<0{XomeH+8)
z_GVrmn-R==Pj3xGrfH3ot#QBbq~Dl3tkGmhfDFt36Nsv?L4(?W`NW<zFDrsoi(K!I
zo&_mv?TyjuZ{h8VWq_y4eM`T_i+Yd48}>il2WFHN;Yafh;Bx{-(ero@JcMa?|H%c2
z$Y}SV$N#{7ROJ(BPuiJyFBLB$DlaHVEarBcVoTIhpnISW4J;F>p^meX#<2D_?L7Rm
ztuEAo_l@*l@E5lq*6-luH{jLKiWm<D_QH#noYTuA&`Gn_Lg#&Hph6dFDdcprux(0?
zhwRU7NjfLk-T<GUVY`zh?!+cYLx%t2q+S&LpPn>I5>lQd#VB0H9^*g4A$;)BI%kVI
z!_lOmQIzx(MDlu}?IY;emwGd=SW&Y#R3FMci&&(0{X0tv{&aq~Wtj0YfFoR$c%}Gp
z_o(MZ8Xmts$(ZSYRod9If{2^KXm#RN8Y0voA3r=$B!naNJi_8`2|L=`T!KoO>7y#w
zY=*n%SBl09ANkoVx0{UFmX`n6YQd!ZXaQ9CAK{AULOn-{30Eg-9?I^2M!U_Nxvx_H
zpZ8^Lv45=C4Lk&Y+MDXgLoG^$a>&SHStJExPL;fBaa4DDfCd`a5Pu0?L-vGn*9k>?
zTnq~4loQFc{^8`bu#%f?nJXzDf4o1<@4;I72^~LIsG1${3&@S!-T)~FOYs{3vbbt*
z{3l>y$+GDcsMZZw+BntK)i)7l){c4B(6`1sfH<I;NxqZ+c9V?5om#-5Tq^&Pk}LGk
z?WV3p^WlI~MHlz_9&>&6S;+m1`ndPzLUDbj&WvBkQ^haPVULHIi4@!4tYO#CZnCqj
zi*vRxEWg8I?&b!)!~<`NMsxG-fnwq};N4jPT##_-Gb(5OyWt4iKA6iQi-8SVhF?>N
z@lWHfRgwM1FrX+?m<^PKY<x8CDP7JV9*zxjEn-V?iB#W;F+v(z<7n$S#Q^vlqYrc&
z6#Wbc7<8cSv^T?BnPwC7Mall6!;+J^EB;>%j9_{RyTmN9#7UzR2K~5r9XH8Fl~c3t
z0bP>0?yo<iRc9(NR!wD8mVvuFiIMzTx4TQt?JX8vJBpj)P1~<pYP-KF(0>ZwS581%
zUS?~-nM{WOv*1F4LP0P%73eYP1{=QJOMKrDUjO&YG&?Rrb5g62aQHcR=NuLP3NkWf
z$;J%<xKW2h*IvL4H{p4`ic>&5;@KK}lYUnd^PFy;(u}y_Z{$I<P>r1(<mS&g=M5pm
zTV?k4&5f5er*sx8$lU}a363<7@?PvciExNK@ABYoOeHA3+L%KmC>7eyYxfqr016;{
z^so7?5nDNbTfFkIo*X`Io5UDL^RNT&R_kBTvK7@CHC|GL@)6?}P|^9UTnx_oe<xX@
z_wOYCR`6i`J_>f@`q^3l=Z6y@U!-736Nu#B=2yRFsS@*7fJp5S$)@QOfDnwdKF!8u
ziHf{94rib86&W$xwlh~HvOb({`R^BK9mLEy;t}PUDw^Sa;HjDJeD^;-r0lFrD=gF;
z<{dd3`JDi&H;H)ZvbXZ9=E6Hn!HcTtX@WJXy1Y6k_yFNo+FyDbaqpo!Hv%Xh#D;O>
zwAa$|@5+4r*TRL~)(J>E8&ApdRoZuLI@1-_Z{DPemvk{tSE8nbSOGF;2fLq4h>Rjk
zN6()Y5M;Zw(Kp1<vWxPJR2x;aUXx*J6zpjNUBGHgb0<=|8|>@kH}SGtO&HDNlFP%N
zqeAtWqJpnKkQf3a7nfprV~w`Md!&~bUTvM-(~gflE)y=Z-ghzk03^6vDV?OK*mMEl
z9xQU4CH2D|*h%PD;vqCIOyq`i*Y7$tYnix|(ICwY(>8`Y7_0Q5T59dfpX9w1OBTfo
zS9n-+nUpZenh#_DxGjixEN8!HkH|aPv~_Z!xP1_Dkzj8xfABxSjL1a7shI+nE#e}e
z1W<JO%QgwWa<q+wD~05qzgrqDlC6JYy)^x&({1*a4zZK#M>vwy{fQr52Y{`w+nDiJ
z6H<dVo{o8sM{cA9N#=c_WzNu;X!Ei1dkSe(dJ8sqi3J3jP)pc-A)j$GQ|>p1(gQlB
z@X^wlx6?=3ZFZ-y!QI7y2UYV-2IQ-*a3_~{O1>uMJ}=*HJB9UNy~Ne-l#kRF%nb_`
zCX&0X4*x}0qDj_D2aa(44}hBL2y46xXyQtvBp}rc<k?lRDEdX<Bn-$)#S%_*5|gy`
zDd}N?Ap)&9p+;X*>D%fpq}Oh3fq#0?8J#@=I_h%g&jC(k{6;SdZDgzO&#```^}>`Y
z<_4>zCTHA|e9zhozp|uxkMbsY8t53qbbZ{(_!)rnsMjl8g+$ASS|?5>ts=V@`*+yt
zJADh!i)!7VT#}_-KyZ?WmlK(M{C5v<NGz+DO7Te@EY}=T?1x2%p14Ti{0cj=Q}}Ph
zGHK7>kZl@AU9`SnPSii`^l`ZN%a2jB3?Jqr6E5`5?=-|`AMXF&ZXVA0@L62AmqOhi
z{zP#p)xBkTX&z~ND+b2WwUU#Mr?GQM`1}(0+tzBiCOy7NqXr2S77ZA;ef0F+c0hvc
z$2$>8p*%kK@64r6E_fkH*3nlraCgg%Ma4w1!%K@x`(f$O5=3f@^$F^6YytGfV^agA
zz3f@P`@2(p_;{ANf+*cbgL<|?g^q5k9lmb)rXyR&wti=qB9fwW2&wPy-01*{o7x?=
z4>S`QEXruBCpuI#eE%05;l#p#owR28s8-;d896R8WXYz%*L@gB_1Y@6ijG(%f9m#w
zK?YoRvR4u=?FhJt7%c!q^L9JxDW95L2a?)sHc#Jk)O}~;R|Pr!YM++la|idmOZa%K
zaJ@a@AeA0iBl?i?hP9226IR%%sTIDJ%-|v0ZXjIg@pA)6c5AOb?e4=)Dc9UoYqz<1
zv>US)QLt8&#0IFhnAQ@A2lwO2AAW-y(_UqJHq7?rpw(oa<d_iKVl=n)P@wBScul5u
z5k{n|osVq5U&Q%3OBO9T<`~cfSuJhRztf)d0)1-wu6aU`bSAf2C9lFJ>Cr5E%&@U9
zARVaETKa@k`qqU4GN!1i_WO4>z%D^_NtlxNuGm1K_rY$-hjD@^>V*5R!(P~*f%mQ*
z#~`d<Ud%p)C^|z=?&TJ%e|?`vF}_$7wo^YWIam<2=(@y7KwYl!TJ=+{FBIKaO0Q4#
zGUS%heQ=mV3EzY2sDw-LrD@6lj?y=5b&*{r5@|mbFNy8EeeQ}{BvAo*X{{~xzKf!P
z+g_~p0C|dNYwd07r8F9sc}uh(;v#_O7l$@yf$A0CzSQeDS?4scmsWeY|1y+!Unv<`
zbJ}_^ok{}d5eQjPN&nXVpf9ylw^((x14n`O7X4rHFB}_G;u8IUYv-Dp_lyVd>a?;;
zbJoSmm-(2)FBWLkW6UD!EfMVDZ~HfC&WUzCj;}7782RTF;}PtMZHunYaccFr-rS1V
zV67F8@#6md{kQa94Th8Vj>`|v9I2hU_Lot;g%5xY0_yOTHRTpm)TPy=8yCk#_*}2g
zaO)!eL)A@UCuZ451R;_;P|is|nv6z<yB4=ahH-p|aU1UFT$4d<z;yuk0vNad^3u;r
zk-u-Fz~q`Z(K#JtW4uZ{uuATpy1i<HGQHm2^+cAMn!}0~+zPwT=i_Ovf|q51R_d!c
zA`b&>>Sy5A4sQ9LIU@Q?{j4&+g9SYm&#FqpUjMW*?-3O}^{ogvL87ZxN~K55jY|bq
z|Fj^1)x38tEXeCrYQBz!wiAy{yJj&{xAEg&rR=7c{;$DBt8bmnz`d=^pV<K&+5&Cn
z6pbgrb%$>A0=qj`WV;fYVuIRus0THtPEeCl1CAW#cTK$<qYn#N@X%GxI$hu;?kvvJ
zn()Azx&xElTy)x>_t-ctEO;Qbur@!i|E&S_C&^a(aYbvHjE3g(bKY|vl~fHzV0nsN
z3=J%AasXRaYt77*#xF+00k-69nO<MK72V0-L8THC+zKpJ0=;`H8?Z@}Y#5c$MnV%b
zM2jV^1IEtWNG8;iL>k(H(Hcxy{j#ge<M&2F6*j)+ack#jRkCQ^dz)rzfYA@MJ=41@
zuXMFC2!QWgm2uJWJ_4>;iKE2hKNVlW?OJU~<8{vO4mGGRRs4q#g8wn|a!l*4zV$O9
z^_#U@rLVPt&aO?2I9USe6eFfQY#?s79M)r-9#z?42fGSvu0dLHD@li~HlKFtGh>lC
z&UKmf&c&XdJ!Mpe32$k>L2K}}BDN->Y6ZTwASh_urd<T)^8E>rqbqnrcC`n<*z;MY
zRxIyoUT-H4U5B$l-@rMU)IlP7R;-NN(qH14!K_eoR%p;I@$+^#1Z|I|fS}D^;6E`#
z7hUU2#>3p%hJf()pgASD#=RtE{K-kAunS`0YTe0?%y}#G*3yMKz|EWM$jxh9y$Ii7
z4W_#fe{p{q-*tLd{&*sJMZL6}XDQ2_%frKF9|*Nk27hcTtXU+hii@0;HH}Fwq6=CN
z{ax}nd(U^B6r#QQ-*{`y!aZAd=bu6z;K`1<PxPo{&ArH5U{mmQ{Y=6*ZWhBf;`3+f
zY7QX7O+5&;0_=4JdTkJwCwKkd5Tg8;r=}}^*9r@)5K*^%fCDs~OccE;%!XJai$Px!
zEj48t6`1F%30RNi#heTudiLz~G$0+`AF6wtFY+oLu~^%@f5)8%t(&KL?wh}^8{Tg1
zuv@j&Q2(fn^#2j{RZ&$wZ`+C>UDDl1cXtTV-Q67`wKpkJ(%s#HbjJn+1Zkvu(;b^e
z((mE-f7kjr;Ect=JTr6MSB>Nq8!>c&3sS&ovI|Cs3fh>V|KNy8qZk<pJLDo8wK;xk
z*+z_iJ?p!-Fk{?@B4GNr!pmD()_8-+!56s8B0AG5s-X_7t{ErUVBXH8lNTcq{|$Q0
zt0>^<tUgB)A&b6|(jzWU;I28YN2g2MdG_NjsV&N^JTBSt*7xP^Uex{aU^4@KzOz}%
z^L}p29}c*$$1XDg?sq)k>ztVL>$uS`RJixP)=q`^Ud}1#+>0+!nY0{Oc`bBrd~p3r
z$%)>ol^KujKa0JvEfgclvkTi1L-LFl2RG*`PPz!D+XEpN$#Iuso;UFgApzDE&NmtL
zCn|tX>19&dHBsyFUU=3_{b5&goNnLzx3Ll=cy>?(gZ<^--{@)4bdp!V1|!IjGpna?
zw+Rf#hP&8Uieo>#L;Y`?AaQ2_nz)n%5Yh^z1WQL{>cUfl#na<jHbi4(#!8Kepl{xs
zdY+DXJb{w-pOx{qM46Y7Zw5xVH*qV61i71p{;9Z*jULITB6vw@EbL!pk&0pc_Ug_}
zY7-Nk9`h2{r5htLsYeIcHxlR*0q?{q-OmRZF^a?v_5}{p>55d2C!hNv(B(;NMHG{~
zk=sDI#dkNc7faaipg(mtx7xfb$rqMd!wFihwxWR0NZppOeB+#1aN{;pn|uS8^p_p$
z))|cj?au_KCUuq|1g=Q_&1sP3%$cksuIn#4cJ~fx)UA)kGmyYOlBz<R-kyhyj66D2
z)xCBV{NiU*$>HF-QnnGwBWIg5U(WsvPnq{9Q~#>l6TT+`{;1vwDs1=&l&-k=y(ZtL
zA*ORc1p+K;$O`It<!RG&f3`>Wz?=(Flyw+>%|rh@FZBa%OEV(W9Xt<A@0(W}tb^KG
z483m1F!{}2C?W(gKmn}H<A<?WrUnh?9!9rA;7e!$j9!_X7@FKMpG4WHm?{Ib=Ves7
z)F;UgCO8TAf_D0l?R-8SY*}1<dRfL5F=<Re(B~fyMKQ`Gw}7kyu&G$I|C!#ACeEJq
zi~#`?fUeX7B>H_FSR8=6<c3$2Y|C+`E4PBoC(*z^MjpzIGE{Cce$#tp0`>tKvr<cL
zQFEht?b7IbmZu)tA92t6eM;SiRQJw~q_`n0%1)U3gT}zMK6`drUU<iW1~^B`Ofi7^
zJ!I41k2QulM-6CD630O>i?DI>a}-+GO>Sz$R^*2vx+%jGJRlLP%C21Zs>UAg6t#K2
zuRnZG$JTor77NXpV+H#DnYrB&2k-uqhepv{ab?d3k~c)<68ZN(wN>vX?qLGy-_P}w
zp%JTC2qH6%6n9>;?rF{p*HGv5K0_Ztb-EMos}E1C0Gbo0&zEZMS;F<!p)Yp_WF7!-
z?`^RD3v>4z8Ft26SqLUFfse3GzuFFNcPfF=SbZL%yR*E7H%#cfa?Sg9S$08yzhXGv
zHe3FFE9P#j0@VTgL_X|pRbD||_9P~<E7QbsK1OyCoD#A+BLMw%GYX5ew>Dt|_SnHj
z8~+AZx4iOAUOsLDj&7gT);RF)&rdW!Aq0-Tf)A@dP!M?_Yu0z&_<#do>5LdqB8aK&
zKxuHL2!CpP01LuTnBNSq4pcYIz@OD5_jQGCD)Pw~3bLGu-~v>jWWSR7GVgc4bHj;E
zOW1J`f1A~NjPCJ`d3N~GShLzR#`VxwSBi%70715L=3p^-mbv1SIyCDm(Ob{hd5oRW
znFHp1aw^@@aonNMp8qGVzsoL@QD$AJ*{@#~HO1|40TT)Q<4XRg&DIQ)xxpuMW2dNt
z__i{@I`bHad!Lrh3XY-tZ%PIJgRw5R;TI}M%k=aSiuCoV_nQ}cZ0uwA9U}l1#;5K)
zk`%Z0l>vtvO1$@S<DJ;jL$on+MRsE*1h`tV({}xZV0<g^(!K{}uhqr1;3YATK(p(6
zzIo7X4_5&_X5kjP9N!V2bU+ZQff7BS8v|e(i0<JezayR;E7(IhkD<2)EI{_)%#-kJ
zC5Lc|Y<9Y3xx^H~ZMM@YaF<kuwbP=@o!7oUcBMsb4Ve!d@DMha2#Vo^@sx`F%Pj}2
z$k_{13M|M&<avN4F?-tqh~y<3^3ev=7jquQAIWc#IIrT})cQ6z?G)b$)|(kC>mxbX
z<q<n5%*387Z<nY$x@Z#m4Z-(rXL({c)5buV9DTaAGHJ1{OLG#92pX)-L-Bsd_fwzm
zU=gUhDLk0aguyVZ4#F+V&m)th$Y-ewo0~+pk^X~`X}UsU-wOR6%RXL=Fm9pN*}^@M
zX0ztNT9fCLVUP_!qzHJ@bP8gKs5_YrzPfl~tejpndRZ$R<wmxtL*No1>im%3vM*qp
zh8gTl1SJ?RBJLL!$B*4^iX->Ht#RJoM`zD!9I-j3uW)~ve^%A|Z9y5(RYi68GV8xU
znBZm6Bs%gv9PC*RVcvkx&K%iE65;5ubW3ALJc46JBlG)k8~@cS16A`~`n0gEOaGT}
zSGL*eQclSZfu7NP_lbw=SQ5V}knRA~Sh{kmB*h=;k`<-%M&06%piwS~twz3or7<hm
zq?|bu%L35k{NbRa2qV8Deey4Doh$LCVq|D<z_+d-Fu(H6v;b6s8}bJuXTJC<#0qp!
z&w8lJ``;$&rTV{Qd@_LJfCL52k;5+HLw&G$Vj7E@pkio^Y6}*}IHD3+yNk8%Z0M9x
z>PCsCPs2E);NFN1ecJY5$EnwZXHo}?8p+Yw5qRk6B6u61Q>%_j`{E(t4*!|Ir_acB
zqIF>#rRT)DtzFgt(r&HbZo3ZCM(>pG+pe+qOkJtC{M6E{)WYQZ<DdH;1@Qr1PHIHY
z-7pv6^f(MVLS&g}`eESA(LO?dIbNr@v=IHD2&CT!gm#2DfyM)q=yO??fezatU$s6G
zo#@+jK%`?%-+Aji56D7!uB9TmPHQFJx2;KlM6`YC7Fh|{ksBQa8WHgT2*(iQeLr)o
zbu*L8jQx_p(9cLR@m_sOFj!qzQxQ?7lB?{){B9k1Q7N+6y|GfR2CeP(aXp#6O}&{h
zVd{o!@X!_nW}wd*#kh<@u*Na5hPyqz#=Mw0>$Rs(uJODx3ogQ8l@p7kP{90k<qK{^
z$b1Mua_@i~uChON4nk$C-c%xG8UZNhOHWt4@Gjq0+J8flB;iXY0C38C>p#^1OhBC8
z1$oJav7ckCVBb;xJ>F)!qmY^Hp3?Q#f7Z$)N;Bh#XwK8l2onlhJ49{@*j6BGeZW_~
zVGTCvt#Po|cRg9?-4}^Dt*3&FPV@%&A);K8#{u3f+8Q>d7m6>9)ZzOHFKBOp#kka4
zKR3;o3)M+~vX0e!OFPEJ(`E3k-fMqob~mwg6Ybm8@P}^Ppu?xjaq*TV=G?JH<*wYq
zU~j6<AMO*M%As!vp`r>epd?uFrHTUK-4<X`$R~6KuFyJr5MoCapd|DFH;^iBX*`aW
zokiLSWcqQl<H3IB3gCczE_9fj?Z@3*$AAW__W<+t8hLlsOuw7UQ<Ak!%ad21QMBe=
z%tD^;MiLg{Ea%nq7v<42YB@9<A$uS?v6dQT<GOe4T1rfxStG)vpdt5l+OvOKD_+~Z
z$mML~yXVga-ifxQDlo8j0;J@;HmT!tevY>-RJz-k)5@b;k8ht^iEl&B@1jVbqv*_k
z2Ed>6GW<veEE6gkk&tb|<_ra!IO{%Lo&Qd}kQd3}rBsA@-~k<AQ}{JlI&px6+;G@D
z9!KzJf5kr?a~|VANh!8M-P#>xeFrIx4Z4-8rC8=$3+*$U+3i?`nMWeo@pH6`^HQw;
znAHGvA7VJk-HfyUl5c0n*i_p5Qo%Jn=W|wNnmz#d;2R)e4kP&7AsI6wY+9eV_Fmrx
zU!ZY<D5S>FRWIYspug^ygOc)rgXY4U3UQ|D+(hf_#HfG->nFop&qJ@Jn9{_DKGl!A
z9~Zuv@Rbl)0{m!^<BOvQh`@Ew)zqTHbb)-M6R3~DK`ecP?4WKEzS{b)LeZg>dFH-3
zXGi(G*c2I8$Zba)KxjX{)C`0&0-`9Ou&MO{r^)AJP`=RY4m9Ljwe1Lf#kj4^7_!4b
z4zvTHtj(qo8hH6D^DUbv(<$Z9`V>|1my93Hi0W^3Z*)p$S6lN_X&GtvwDY~$8Tv1p
zBU2Y|z<C3Tzn7|=1@Ahh-4R-(KTnyNq_Fi_f60|kOu>2%eXQY1JEqlYzKFb|tnnLM
zT_uTyZxWDXG|!#C@_C2x*2VK{G_*HO`@fa)lX^)nO7wM@_H{(R%t#*SHEX|UU9qaO
z!2!ycr~yx##8<4sk3!W>87>ngK2M)KcdxgT&SfY47lEvQ_Sg8H6}CoxW?G&NW<ag@
zMu7{M$1{yH(=mrGf$V<RM$9P#RKM?V)a1tO^O5ooEDem=9;*!Fk~-6R3ZbC+9{`q{
zL+3XMV2EQL7SdM2dZNYw&N#N!w(8Sr`}r5V3Cu=7|AT**Z68VQ_Np_eylypb<H;ae
z_j_2&2-k|UuL{Dc-Dmmn3539rdy0^jzV^CZfXOifrA)zF^PzS8Dn|ZFsScOuz3c^h
zTYM&DlMCb!16Mm!zYoi+DGrecv7;YNvgW*?gFE%Q^I&U$KJ{DVQm$CiCr-1`-H5xo
zl)6?mu5gEzIZieLv~;4jMQUS7fw8>K*tM@T=71B{Ji2PPhU*dKN02%~eR{TR;>;ot
zZcFeXUw}8~J4s`CFO7{7MY5;F8uP$c3Ak1U;h{CT^&(W#zTT`KB8^qe79Qee0$zYM
z{0rrSp*KTXjs`1GF!@Yap!+fxZ5G;$FINMx*Gt*avw&SM@o;NUH~ON}?loxatO!8z
zKue0-XE%t_Xf|LH-fTco&(`oT$Tj(6u*9`maXG&9<fHp@RF~iV#*6j4+x*p~qfcqD
z`A+*HK9GgF^mqc~JH#|dK@lj9YsfcV9fBA{WD++1gsjxB(wX@^&#7zHAlE3-y+YuK
zfCy;~IO{Ivo@F(MrXy@MYf3$g!Y|P@Ted4wN#=z|Zi-AZX4xIVEhEnOqj20w4*(pY
z2ft6Fr`ZR);nsYjg(bvpq5~-pb_Zy~-bn*`=;SPE^#<8-2E}PT8oz@NFeT+O$OUq(
z;zO%XI{|~P4WN!Ee@NkJxEBgA38$39MV5HeFx#<1?RqnGwDCWuoIDCL*lpJF7&*4V
zqrD)3_x@uPr8wp3`hpSPtF*krk&B9+dk>N)M+5@Wd_y1U$MuU;%Z0hXz`t%b*G<6o
zz~0^7{rTOfY1<*H-EucWH2)Glh2coMw3#Qnhz`@gsN|*Yracoex--F#X+3=BEuyI_
zTc{vJL2c-SyXy7eiBPaS6gHyvJY<f#A%Eif6T@u2=!2X1%O<-B#__CqISvOxHde{D
z{9Q$%Vczz}gGA8UBnZ7EkxALw_7xEU9LIw9s36d$k>+#Dl(wB>J*D{FEtY+EvlHmQ
z!6nnqaVLvi2d&+Ce*Z#`I<uWgCT17keCI*=Ro^e2pvTcCD-c7(RU$m>HXJy$XxZOe
z={C7D*JgNG+x)yRn)T<uG?6rNdpiO+_Jh|3qB9@cH|`1M%ul#hu>DR^(q^rRbxE{3
zm7YJ}0Ds|yN6O|JFvL~nzozuNeM7XK&=vQkHw)m1fbdoVWc#$_4W=s4!;u;xTot@w
z4YGDl0mj(Cs$oSf`OD1N+!*%g??5w+puz%+3Q(H{DdLjP@mEh#R#6kgM77t61>=kp
z0jafLwS!E)<v;IZf~yYr*1|lUN06cJ%aUwE_p|ZfMU3ud)wS}&@2y&Q6L%W%1x`O*
zWKXVv(Fj}dAJDoGAi&-~5ayC(t=d}WzxL7BBq?$CtNW0Bu^VIv$H_)){Ss>>IH~hf
z`(ploWe=)AG-X~rePcE1?M_@|pbHg*6uIj!1LET%O%p&RzJSsHb{`N4Vg`3xgTxp9
zoIP`d>HYy)3<#ljuLy0!y<LKgt`A5ZWetBW6rJdJX+0Ta`paezl?__B+*V3?sIXD%
zE^@UsRknD|a5|M)29gDkkzG61)?^@AwZ!srv-}ZZ|6ylCH}RWhfTX9;h6h3wGprfX
zHfvvR(ojg`9y=eyW9-T%N;C54?Y7I<_7^C?I4Ha_g_&r2&jX2V$CV|)7TF{E<q3`r
zMYD6LV7o2!^3=fz>Z$!DOxI3kY=g)o=+}#N;fVq2N(Ajxe2G?t0Cw+`fy95za@gXD
z*9&2HiyaSzty`x<y^Y(EKO&gy0~&^-BGBL^3z4q{me&Oyvzo;$brYo$4RZ4I;1cH#
zrl+;?-JN{{Jo~%`KLXH$0O^zH=*+qQO1X6y12bNSQ%qV{HX!vy|CmNkx&~G_X(kb#
zE}0Mz3jqpaC%lD(J`;Upni56aU~o<N*mnBhVc$y7-{$>%b9VLzjN31HO1ymnuGU_O
zLLERl${aFC^<WhTmu$tnGy>@H_Y%!8v6a2ttJ*Qf2OeICuut$|#-lVh#<kiDB-|#%
zd4U@tPM}a~u=L&;3e5lzQAps13;-JY9nwjQLFSWB8Kyy6P5{m?*I;wQ-$H|H%?HiB
zsr7#?&LHPp44-1tY_n6#g11v5CWh#&sCLGi+IxO4mAE|+p8&~Tgk{HtS?DNv?<xP%
zyi)Tkp!I;zBuEZAfnGC?UaH;A<!Cf(pT_IXY;bZ|IVW1>790tjfO*Qzs}41Pi|&`$
z`w!v|S%)86M1mnl>@HQ`DFXS<9o{vg4V^jYl$p)2>+9vtbr$GKQo!JSiNa}L(xHIP
zXgPmI4wM|RC?SoXk(X{irEaWdZO6#;EjyDbF?HVuA}|hjEuCGlS%EqnRd9=+b-<$P
zbgXu2KAg!xlyb?Gu+t|J6+W+|B$}*oAgP&{TnM;*vW51Z*J*rk22F2YM*}Q|x%5_}
zipqtHdxPDZEH+H^`OCX$?1xLBAmNI5-@Mdq)u@*uMHleucZQ7vJkmC1M#;7Q26tx>
z5K{~22(I49S{V9FS*hdY#SycGKGP|M?Gcb9)H@-omeM@dOkeR!i%!vnFYV7OuG{HJ
z?&TJ)=G^!x%hHC$24d_kdiPs0#Agi`0#nZatSSrtQ5VtYr+^dDU;T3UH~TT40btmp
zg-vz*Z(>I8Wpcpy#I~?8f9Z(-=);zJG@Yf>G+`t33ln8?hsaj)!iIAkH)?!{&Ph3&
zTKXzK->n&l-F~e`-(Qe0QF)l!XVdJ|fsxvPFx6%tAN!d131I}X=hYI5+=Fwo`pTc$
z*~Ye|#M18980#yI=dKLHE8db@&20Z(RT0-_iA=Kw97KR2xfnCbAuJC~Sk@+OBQ{LC
zH7)Eke&r}?%Nv1w3ur-kO89sV49RiI(Juu!4N|*4%6rI!y;=953OxGDu-PdVe};$u
zDlmZbM&UCb;K8FH!r#37y!ndDe@C<_f-VtQFdQwx3{UV3ouHU21>g_2J3E$>CJF5x
zIygIg8{OHTlOpec3|0qft4!2(=*t@#0AdAjP&bI$1_Dp7Lb3XXmU0UYGng#-eCKgU
zNj3`f*ZnE>-g>7E^{exdr;*D0I6qg9^?D_<RE$bhZX=Z$(TtwGW2>M&{%H1a>&ot@
z+;H)LEOaXU_jXgL5%d1CJ`iJnzqH4>bbaW;ob*4*<B{_J0=*9@kTnj7t5|y6_wRSX
zcP|V_^f_A>FU2ealx75I7d-hoJKG@HeyMbEf5q0_gU`WrGV+0SIc0Yi^aN6Ln7tN|
z!3S_8*TkS*Zdw?4f=MsjT^0}+Z;kjHc^=F^)b!PCN%b_=WmK4GRw}+U8ho;ZAo4=s
zk|FLhhxHd$Ot!op@u$giW9Sn(MO7n9W*OYf=H%|NvlybCOW$Le#{~e2mucKW+Ls%)
z%5+k3z%5pGn`3ie{FFuHa>M4&GIqfeg@&qsLGJfL<HEL&_T`}8NucR$4r0LQ0(^#m
zjaRgJV`@(|fJrGPEn+eA%mR{e8x;uDB*ax50s7tjx}Ol>)VAAL`&8}n>70KpECmAi
zU?Vh7SMm=(h}e*XOuTNcRV9}!42IG8VeLIo_~E>HMr$zwI-5?WUqY-ZI@WcqE?=4U
zAPUJ3`#Q@WQRdde(%tDjQ<X{w_2ykl*l+P@;e&u?qR(&7oZDJmef%1^!wF?=@{U97
zH|^&+z@bUSgQf1D=@NuIKV8pA$~zn6DyT&+G@4$}f||*Whuo&WU+{M))F-u+{5~#p
z5gKjl%WF8=v(76bzw)NEgK`2sLjbfOQUSIK0i?wjx4DHnH?av7(DMQqe_!WVlJU7q
z*y&E(?4BJB`VY}5UbDeRt5C3<Wvrx)Cjj~gYRMwNBmkX40y1x7&TZ;$Y`)zNa|N<@
zXso!UIoX?Xp9lMpX~CBKOmhbSq5U@xL`X={dz@Rk|5T~AMgPqka9VkIN#_{+>LIC|
ziHiq}XFVgshj)@|HsD7SS2@pKqtaCr3u@TSFxNBWa^mFXqO=@8zG{SLXv9o`|9c98
zBM5<TE5`UGs^%*K3~n}{ZaOgL^jR1k7!g1#y2Qi40^*6buR1Ow-<+m3E*ZYGmZ&2T
zK?lz1*}YByM>5?$sjBaKQ4$e_oh8((o&V%u797FE+4O!fMRc|cm`)>N07L8`W|Zx;
zAm9cQf8=PmCw>H1l<aB8FF*a*qyQVrba%Plk>&j8u->|8E4VGuNsbD1an~N``B3Zp
z@ipRQ!A2L$25q_RvP>+8J~Hdrwt%jfo=9FZb@(mXSy)<jQNEs8pUSv;CF;FVgolgU
zuY>uePJ?i7fQMb|Y`E-dW0z_+M+Nf6yLsGgwl)MGZSiFRw+zi-w4;ZYd9=|xkDB++
zVypA9dmTUdHxA6%D@jBXxF`Puq;KB+50IiPo&~TH_!$AkaSVh|8V7qZgT99xz^3u@
z_#(@TfOk3raz+0}@$ZybjlGyzVYx|gaO@Es>Z<$daBKyz&U@R`I;*21t`H@^Qauk@
zDmv6aUE?1_0bG|hD5dAsMC;0GuYi#ft!D8@ROE&=ri0!rp>CHGNdIRlpq1Ic-tB&M
z1f7gXbuDRQb=B5#^=)<<7+kNE9;x5V00!ifMkT)ry$|1*hZVH;pmtg!gs#NKq==f2
zZ+~&NZLuf=RvDmMszCw`_T3REopR%a0MRz9>sf%=8hkhfytKWjaML+Pg6ips#a}RO
z5KpAl1LJ^BuKK8(j5+wGzcn56Y)tMG6?Cpp{e7S10x^cKq*$2B0%7-K#$4yz*Fy+`
z`dzaP(;<)|0nxl-`kVsCt{a9cX>R5xlV2^dsdox6dVV)g+YA%q<xkjyG+hC%hrC`X
zw>nS8Dt#3d+3+RXUkws<yo<d4Lccw=?a{<+*4Hg%0YEpU#2ai$@;UqXyOULr$x`=?
zQQgi@{0B)=zfSJ8lVfP3uwNz^#==f9R5Fcd;_2e)GtBFyPDdTCV0yT{LgA+&{(O8e
zvU@*-Z*6ETnZ#5hpRras?5gp`ib~F;f$7H$6SIlUpXR;wdIN<wBa4q0fy4iT5So%j
zu#U>ZU?mLo0PPzNO<3KzBqJ9+p6mvR3@NNf{f1;EI^AqF*apAqeplgiTCUconNU0m
zc~;7que6ys9Oqssrd^@s=Vhco69p8<x&TOo1U|qhEzXuk+}|wP;%I@nrIqpN35IqC
zk2m*!+~TVaQoubn_rc!!X@7Y<O<0rYTFZ)44<whsU~3@c)x{)7dX@=!>{&WkD@sDO
zo@Re9F`E5Ej5xh=8pqd_@4FXg=Xh(nxEB~~dPo08kc#8$*g_8t+7k(KXHDR8+mW02
z>M{X&LQZ*?7ssQ@-@LCZpORV^!DxH*z#$f*_`+@cEZlukfQk~DOan!)-7VybeIzA>
zFAYsO_7JQ0>J<GQ-XL*d3ZrI_nHoD-+D#|d3jp*$)>4HnA}vCd`Ip=0mjFPc(uY(T
zOc!3&765O=ZyQ@G%$r?iIlrc1dDuG!rfG|elcsymE8#jUy62UJMCZX&U$+j3@N)t!
z%-f5)k<j(~fGDMvYbKs@o^`EPu~_Fly%zsSztZ2togXoWKx;O)o8zX#!@qyGV$OMM
z53S8?U#hAM^raV!7VrimSx{axBk5zgy>_xjU(}}~L1u`e{o-$E?fd*?t!+ZooeRDx
zQVuTr=-#A_K558`i(8OeFz@mS>N%0+3wfeJ?fYro|I3DJBfVjxG3i480{4BG?dxU*
zYz{HcshxAi_mFc;Fs6i>I}hLr(tteou!eZEE1sVsZ=77+9E9ijY5LuDOeNDB3SXby
zh+H3kxxDey&Af4zzra*j)OT+7w0R|5WAUsS9tHdiwQ%{!(sk&0qQ3?nkkE|vZre14
zbB%2N_Vy2KXm_1Qh7Vh%v6T&?zApKWn2uGABzE8zu9LbRP0l})&mmMpdUrw}dhnMC
z>*@BB->d5G0}pG&iG6BX^V53cW$cMDsjuwvRU@FJywY<}K+M(DAV-QVdM&oDsy{|z
zd%j)p+6RxcX*;i;87Y2T$g&v$(V0EmXI0cWm5<hk)g}pgk>5Y{_OEsg6W@1uTst*_
zOdf(C)wExWD9ot2J}{PxRE;M8{7o9E&pqM5Ri8OB^!ELfP@A~!o_Wv8w1eQ^SjPP1
z-Z5HFuR<nf$qawl6lKx24A?CGetGDDmN7DTi%5A_(DP>J9!@Vp7K3?yn25FCnLbak
zt?YR7#PI+<lrupIaoCPQzKU7IG((z?9=kh}FUyI1`F-ACei0T27!W|Hs2}31V*GYK
zcy7O{<K6OgtGg}OCao-BVX1`oQ%aT?mr!OC+&tdjg4YVvvBnqqgP+w%C+k@*9}IsN
zX0p2A`|mkEDBDIhs@$`--;PtnqgnXtn`X0aOPl!Y`0YvZW5cEFfxN?afJsC<nn1U6
zB<r;f|DAOAZ|81a7*`eJgioy-k<O%mLx?PhgxH32cS@4%-M47Kc?ddE!?H(hXu^wR
z${WMKaalwA%OdoOMyVU_6opjh94Z@U>-fpd&CS2sVqAOcWA<49@cPAUD1~<|GHj&#
z2IFEN<ZPfB7lwi4n(Q}ocVr4S543I*w@O?Cj?@G<h?JL90$77lyt+6p@+ygG(M@}a
zQN~Aox$0w)YA3TLmg<M{)0ruFP)Ofa7v485>VMkiKH%OCt_^+iYnC_;G3M*-fa;T5
z4s2-P7YJhN*;Mx4q|EQZ?3`Ue%v+^vestn$V(s_Cnz1Riq|9k#j1vNdgK~3tbGJ=b
zcW(!|&hWnlH^+_Y8((@oK*j`NA%&gpKfz?EUJNKAj&9@n`*1ppQwTWcq_=0Edpkbz
zK^L%~C-Jvt*ibg_nwvP^wUpBMkvU6M%u*hhoakC=G2BMgpg_^k=TS5bX7u+EBO{}8
zI+>5G>AhO@AGB3WE|u|jhWqi{LqCX<ndyf#5OQ~I7#rP&@cXNat)yHt(h4uzBe7hL
zN3pZky#9kdJgM;H@z;%{xACeIZO4qAXz884@jQQ4f@(CO8RJAsyWJv}m9XjPGKGNf
z#p&t?9>z0XZ5#C;73JMKciY?}9)Y)@GV?*XjLNRrLf1M%#pq$FqQb%AVj%s<jGMq<
zrc7*|9YKkADcyW8zoRigu;DX98X2_#&sxPyRmKFyC8cFA;lrn2L&yYomOn1}?=<Nk
zOwR6J9I>K+E!}QhOFjtRy8QfLDL*cH(HNp+`>c})hV8~J8MXJ4-b@MvDa`afx@VHU
zW^pjz-C6od+x{efX!L4$N#yTW+~?eqYjBBcIP1*rx{pQCFzM_5$gCj4l#pse^wrN5
zC#I%M+f@mcv|Xs(W>((iR^3`VC5Mq*B#~HbMT3*_(|8=GN~IB8#8GGVveL*ReE7!g
z?kSs}sW3@D)gpN<Mg-a7vW8~68xU<Az*Ws5y{8f``h@P0lX2A;J^E3XD<>)A`#8i!
zgFyU`MomloukQf4lW<9TJb>RhX~B_sJxA2w-@b-_+<^Fy9n__dl!>$+hooOCVK2im
z+{$X%r5>G*er7g?5XEWhh?SZ7eOE4|m*Q*Hw(%6J`Q+<XsfZrIL8Y-)TEmU-xko5p
z%*#o6M1kktNc=w1y_bYNo_`$4wbBWaeKr8R^FX=%L>xk(nOQ=88MN?>tUl4RLtx_?
zcnyS*W{jV@;G7`exA3?mI<L+{q@Fdca|?@_*Va%^S5wsgT%_BAN!3|67I(1gRTyXS
zAe|oL7#ca4L>sHBB_QvpGn7^xJu2Koge8*C(c^6_+^N1cTVo%2w`+DLFJ@@?r&W@z
zN!b;jN_G|Qik4Jv-RHlK@VZjuw8V@p8o8_NRR*gYyxtw}$X1(56AB~<(S1!9_~q=B
zXnQB*_6!TkF!&%+s~f`4^!;v{5++6s0lz)zR!HK`ViM}~S6vbPAWR84!I|h{m4D7l
z99iH!M8#|fuw-LntNuGlVVQ%RBFK0hYL=imH2CB-${!Jh+BB=W2ORPS`j~7r2!)kk
zDhD@X13U>1Uq!ih4Ws*2@asNBe&7T=7iHNJ4hA`##Ei0uk#u%_<V%DkYbi&~=MwA(
zk8aP>HBN4;98QukA4(ma=_e{_V^{YG^_*EGS~g={zq(zarXm}fXB>4`zA5cP^)a!k
zFj}ly)rtlL?<xg0`lnqvPM2Re6=MU|0aa}S5+)VZUl>Zn#H$M8m5QU>2d788FDA-&
zTImL<i@q?vN!a5NEF8l*bq<)?&F%IKozlCzt3b;90M97!sXR&dZ){4N-Lvux%C8Ln
z$XbynTv@)Mi?h`x!M&Nq?v?TPhM+Ebad}V?DHNfD?lzn2Qsa7-+R{3rpuSk!u%Zly
zQdvo>QWqy7LZc{EIq8IP&M`{4g^NUCT%Daec#?t|0)pc>%*h{mQujsZs-ds13F&;F
zOKvCuwvKImD=1XtCb~%ylu~3&z&e|VnW%_a@~Vj0T_vGN2l+jdAb5}{^sfNAmQpok
zc{{ai(z&*PpZck#f@j^|2YuF9`9TZu*CPLl2HtVV$kHQ;qtvqQ@#x}aHSWu@^Om1t
zHW9O$(ea@XEt6qZvWMsEe9m9PCI#Ki(_SKNQKH{G$kd4XL`uJ-;kdj}2pQVbxOI{E
z)dbg4QY5Cwy;;&Wr+$R}_B(`N$%Tyi-HGJxCh&95(ob475VuKsF+dJ;p@UEaK`vc8
z5wp%t>9%8hdpmFjJ8VO|Yn&j-ch7<wzHhF<Zo4xV3)7P>J4MUltHXC))SCI7Om}sk
z4XO!t2ZyqwJny{6s;YJ8eom#^68!;Q@?b|(G5OLqq9q6FqtUeJhpMXDKP!ZI>r%pE
zkzi~RP!J8I<1LsVY_ZX?hf|5d+yW{i+BTOkZ#KfaxU5K_lT$q^rjh!&SmZig%Bzv(
z$#1MFvdmj(pgp_6?4Tcb6c`$+Wb-?_kCz`U-g}PoaahtO(Hg^?5t@SyWe<m(t3|d1
zF1-tn_nvTqymIzVI15l7Tt0Xb8C>2u71hkRHMWo3w5J(yE|nb1`v@X=du2uUPxEtz
zm!Y*qI3^k_?s|>%WeZiIJZhvM8t>0M%`Ytf>Xb5aqegKLewW_6`|(f<g<Ix`^m19Y
zlMdzDr6#(qWN9~(<MO)V-|U(Tq5)FbgKuZ2Y{R4-XOmv^n2sfYCQ4MIqEpg-)X+2a
zNGU!=!-d2YuNT4+OV_zD6j|e0G6}J(qU)-nn(pk;`=^dg&&(19+c!tU-dzlGkh(``
z?Bo<I5Nr@jhalM!$)yzjlmpe%3zuJ@teQC_rqoJZn1F=)zm=nxsA;t*`%2d^I?S$c
zI5Y$@(=8`W>S;~u&pYrUlPg7B;U__zC_BcvMEBE)dMj$i4<xBs{-NNRF@})@2=egR
z25VFuNzv(4A}E#m4p1b-3^{5fYJQz1Gg-OP_(uP!PL6jrMi1&%mu%+8RPLhGp*QcJ
zC{-O)GJ9Kg5mwS<Jzol^SkyQDrdguKoxZ+<lsh;+Kt%LQ{iq(fknj}`lfEirS<g~f
zt0qIQqkV_{pJd{h{<q(O$7@DpS=A$gNdFj$YhbB9V{->`lDnlYkG8r?mAu+NAMN=l
z(o;;D$`&7`poRR40&Uz%dr8D-eeV#$^BM=W%aYVHJ}eGBbnnOKbDq?A3&CdxcnY`T
zZO+FPl^-9(x_B!x>C}^$jU9~5sbbP)=RX~(ksSY^qA>`wr?bEk#@fH3`xyC6XY8io
zr&s$I-ONq$C5=g8gGywS25LxF!pbWnX{})%;V27FF?RrxotXA#{}@OS*m!C+>AvjG
zit#=@p?wc|h&|I7?D!ax2D#Tpu5krN`$hg6OZV8tjd8iDj!ry?m@lG#C@Q>hkaN|6
zgNjy<{<_*t+NsAuxpUK=bCdB=iP{Y6^ylG;&gMs1M=|3U*~AfraJHNW2yUmmgLXEa
zlWX+~L(GcijK2?{-VJ%|E_`)&!pH?SbD}#`te!(eXzwuKT<Pg*oSj!UHm!u5c|yP-
zRmDRgNpmh>#Ljm;8}D6uxXkZr$8p9n+gOU;2kgNSX9(i*0Les18q3WN@awJ#xdwXu
zcX<kU)Jxf=-t!yxLtblMAlrsB4@oz0(UcO3K;(%9$3nKBxB&>}R@U#S>a5$R?>VR1
z@@2jF00opQqMMCG^buFKr|_oG(nZmKl)>jgYzEFo^xqW26z52ETi;|gfAB%gq65TS
z3y*~Ijo^<qQpYm-sbl@rfM^q`#x&WL`ga2#V$Lkc3_Vp6nYgREzA<R)CeNv*o22C}
zswKyAw#CQ*Yt5KFW<4MuO)vHX;fu^E>4&b=sPgVJ?3ols`X^bb6ofvSvnC}6m(bTF
z2kjQ$(-c@s{sIv@9(}Yb9h^^k!>=Qj$S{d45fC0or=P|%x(>SE>lvNsz_@v(swI(U
zutGIgaa0Gx6UEh#dVAmHvaK^sCJiF72vZkeYVqJ-HXd*#Lldjuq^ib^3@%w*QOw({
zE??b788T=XFYp=c3Z&Y)(vs>aVc5D8`j-lC2cMjzey%Ij#nlW%*g)<+OiHauIW;WY
zQQoknUY-4W`TF6mg3y@l&R-@b7R2dFCA=nvUWWJ?{BR|4yP(O?rdZC|_j}eDoj>}E
zaz;+uA1(O+1h}&*_&0xnAt`Q2u9mO8_du1NTPj|Lf<Je3G<x)L+yZ!Gm|YvZeM@H$
zQ7%aK@dFP&r)@hfdIN*~(5R7p`d#YBE8gkDzR;5tj@q8$>izHdVVrtb#yC06X~E5u
zcb#885~4pB@J`%FZ5$t@zIC9vV4{DsUQS}NhObFEgBt6fHQL|b-vq;TuO=4X47sIf
zOgS45Og|g%%-Ie}!-0y@LVRtvV$6()=Z_7^-#{L0(DGC|Gp=eNSnIH?x}PZ5+h1F5
zLyt<Hp5qVZm*b&Ii`DVa$6zT83{yOj=i)IPuNjf7;~SQ^NE73;8<nu|gu{EWZaDV$
zknoVR$n1ISem`Se7)rI_;bDJ&ZRF{G_R%fDgsUe%{X78$tFowis#~#0&bP-J$fSBz
zOH;>gwiRc6t^2r?&c0DCic}(VPgjQu2s1k7)(i`pvk2;D+6XN(MZXAO0Z^C1c>vl)
z0PvJ;Ld<Q$;Bl3B=5yILR~xN*?J~_Pi#6La(fKUpHC$6Mlh^*ez(C4z@vl$%zOA*j
z)uL2+Eeiag@44H*<X0K9u;)+yP_?;Pn5bd!OQWEvoX(5^P98fA?XPrSY=)#`KIYd1
z)-au@=VvuX&)XagOPK=sq_t9c4QpDI^V&r<CoP&15j|HP!%wveP7zat+dOr(_747H
zisf{0a6eWx)KV4+U)$S<K#UrDxTGzLhnc`Ber%q+n}%%Krezs@xT!=bCG^TsC1ZA+
zM0Wlfoo!9N$K~!mNOhIW0_!L@6VE%cX0+wlqu+8>E0IVSf0)DXJLaaKd-Tepq;pXe
zCZ{V>NFTla*1mc*72+`Q$?S{Mji9m#?r*DPhXfsF{8+N;_(Jmof9wa!{Se&l!KsQk
z(QEcLvowd#rcY0B5oLq1lcvaPNT>xaHN}wI_a_f~Q6E$fUp)<ag*6k;7D@HDY@@lp
z*->xy@RCsfwj@*W@T@H#CpP6?a9S1riS6+f<6K@ME#AjK8pg7L`WZWkW>w6EufaF=
z4bB4&ggoh$a*@j)G|+-^P|zJNqzAi9-Beh`%kToY2tSQE;B3{XTJVp{+Kr?Z1haj?
z-KxnQEt8z)>4bDqcAon9NK49EQdwAx)|-9!+sGxo1c&6PIjoP<^R8IF@9X$e6t8X#
zk#;{l>)oP`7u3G_tMCGkRUtyCIYa--8hM?*<sQeWVYJ5$n~Q`M&qL6M9t!|KuvJfJ
zjJ7#EenaH_SG3!L4P9*Eq=8uZTF8KI(JoFAdpjEPcl}jCC7vLJ$9A-Af^_z((Iexa
z6`Ox~IGTa64?401I_$;^BCEQK#<xX$w}=SvycD{?y`j%0TpCZNJFLp|`uf@D!AILW
z*m~gDlsKo@QF@nzai-%Ra*Z(0eM)fV)(>3RM<iIago!yFDpnbAKfv9des%YQ9vFDU
zjtdXqA6L&eZy+o$kd|~t_0cq(v9VMMEA?eRJO*EjjtyOxydU9;T~QJ?NX6hB$FtYH
zJ}fQZ8;R~0gn5ihez-iV+@Zk(VRCG&5^X<y?j^yD=U4ff*#ZJ}m&V+V0GwBp14K6_
zWi3?#8~WbmqWW2debjIB=~xKDPqF%}Yk#4teP`RW7)p=sr8V$~i9tX>pqpH~WM<$$
zsqZ;Xgnm|YSmtffrEO&N{ZH6hH_s*##)1iknD;*nziA7Hdg8hZn;>=nx?QFb#~2kW
zJk)3fQw!Ai2t{5n%NxNaF^czzFr&UlJsl-4-=LY39nCdE<&;NXRxSsHE38OEhp80`
zuKbfp4y)r@@mG5+t=5RgJzYbBBr(M|L6V-zl_yd8Npl1kQE&BDSmpR=d=L71YT=fO
zcC8%<Vv^xgaOq{KqX!wWtQ*i>S;5id4sMrl1^?~`P0bpGy3$)%UEuYo)ERMYdP7dC
z*2Rb|<)t0n?$NEIct{1j(+Bo?`IpW%F{t8P2lpbeG~1Wb?R?Q%IRdpMeoUe5sV=G@
z2VAo_U(-*w`1bqM7-HZXwr#f}HlOLRh%vwJSY8`3p)(}+9FCZN?e_R3Eu*VH4YKi#
zO!&;Cg{wV|=r?8*(E;UTQ=~7NDq8(mgRAKHD}gcN*A1c^3$P<jv;%Y=wCu-U4!H*k
z=!Y5-ee0BBWvQ0KSBu~D#kdHig+AWn*o4M$R%cgkT;%wL^e(9Vd=(caHT75G&WQ@c
zz>fLLrGtC?4K)J&$%K6q>2FVtZt;v(wH(D~N?a)fbLA+6=I(x{{maQ3{A1t&4lV6-
zy_^XEE*L!+aPC!{)2IN!?6XsCwM(zw4%-y4;Kojf?$zPfQm9%Ya6u@ZC(;GGHiz&<
z34lgBz6yXg4+b?q^Q%l}6{x}FOCCX?#{z%B4Y7<rw;!Zs-nMnPv^2%AwTp~=u^S@B
zVA^;>;e!ItYU(R+3wW8vp-pQ*`rf(1&LB~CRw{Y}cf_5YU;G&#J!_A5Ox7ffVNaDd
z{X_N9Tl~|Ehsysp=<}hzseG5CSgD&&0>C7mhGU`v;<N|DkX_RrG>4qN(myOGZbw#!
zmE{J|LVz(Gn8J5d51+Mt?)EAkxieWl8>6DyCqV+kqN13)8XK``tEOq@-!MFZABa80
zt-J1*ah5*OJR0A-uG2hzJNiM2i~I_u8<S8*l2a!f_jUHSAV_*IQ<D|7bHeUvSj+tb
zv~Q5FtT?LfPL7I>gkD)a7OJ%(H#&|dZ%x@qL`vh`%pE+J5%h69JdEn;i7NO|-8n(t
z*lx<Gay$k_Ip!C(Vxn$8l665QD|Rg*nO3cGc}MQ+gh2#*@2Er`uCrHD(K?m7%vysf
zwd4ctRPXhfld<~Ckcq(n^8-&t($xPprM;-R-^q@Q3wq)RFgeyMtauJ74wr)pY_r?5
zUbEsPFeA`WYW?J!K07@(y?dmvUlfeeE#v9Zg~EiY-3&#i1WXMDA;){w5iTov$%H=M
zjypz(CP5{f@6j^>PWgd>z~*kMghvywQK3c~G@hd*9Bgu6erZ<wA`p)8Z!o4pJI4M*
zV0`1FGh1oBG^4q3my)hTCdL#49m9^r^$9EIWTk%+(ko6jS-!B!vUr{d+0go;(nW>l
zxxarFRRSDi*MCNVeeFaCGwoQeAP~k_uLY3mZZpq{Nh|3$X-2(l5Qs!GwVH2q6L+uz
zxV?rg{e*ny=OXrhygBU58+?H`QIUcMF*t6$5Ar@ou@X>B-7Pxy6YT9(=3<f``8I`}
zA&?$^9ACT{kuLstZ*OFnFBQxdS+si)T$cKq9zWcW43mrGlCzO$Ix9kjX{Wc5Ywsa)
zwElNfoNS&?>c=NVHE5dDvRis8*UFCi?YmlCrO&C!S7c>N)`JiIA-9f*yuS&6$D1JP
z+1>=fnQJ7g(f#h?Y;SF;I*Fp&flu|1sN%AA=Y4pV{l9WKQG;BcW7(yM`sg3B%9r^=
zLe6euhC~y1<Oe>3#M!84@AQYxn12sePM<57by;C#z|tE8cUj{fS;U^+4U+7I-2Q~;
z#e_%1#N3Es>+hHlh2%hA3yDj)Quz8r)2Mbcs@%=TD5`~|(Q|M4ij!e|6oIIEtgXt4
zc^@6>d!`<mvtExw$`puS4)aQc)#mL~frPib(<b|)r{^lf>x{Ie7uEBkI$E65f12T9
z?N%)H%M&xC<k%Y=y5`{qbO=+|S6PW_vl1Q`cA9>Y3|p0uPjOVOM|<k_|1f;@@HmMl
zr;=5^qi$Hc#<jY(;q$G@1uxFw56HJbNEb;7e_s|Olz7p?px%f}997g!o)~N(&6#g#
z?B-xhrSy{j&-f^*#O8B_)&I_%j|)s-u=jzKCjIX(>RdtHtdSl|M_?l5QI@6`{Y7~s
zY=lWF+2HQ;hjSHXNQ7R6I5`)IFZ0;7h015V=Gw+;%`<d|Qrc@$IrQVOg2dxrS3P;L
zc=n0Y&KEfmbn4X6#(U~|abePvM4XhuY-3h(1q^(_`YPZ>IS=4aIl82EzNek@?15*E
zAqtlT(Fl<4d%wLunSK-h<ns1bRPgE02e!)7BNr!?M6awH5APiN#V3i$opUsUmzN_w
zq*<|8=Iek0BY|3t(4L<)hW+$64H8sMVw7)#zwVgud0%au*xD`2C4YZMEREa#rLLUT
z`2ZLMtSsd;OMUdFE$pYK@0aF?zV*Ikul=hj^Mm(CTXgwxB~v2@iXHbwM*wWFuwR?s
z#HTlrc$&q<$M<{3hoF=3r|(<TRZnD>4WR(z`jcVTj#uRuGOUXhg4l@*BL~nvOTVui
zGP{ic>a=3fGe-t!!#KCGyI#wi*9hW&5~2`*X2(wGi+xepcN@aB)k`Ml+T2MBH_*-#
z{mR?HzPE$tRR3+5Fdlj62RnrT_1e*?T3awJ8*)t)4z!aBl1E+shQI+fZXmly_C<d$
zCzVL?GXJ2$#J^DlkEN4;I#$Ojn?be1<~zie4`XaW)+Pt-;;SSGigCKGpJh3BnBK5x
zTZKDsKzjMbBgZ3F8osNqhICvX@jbv42Z;7|pz@jgTkoQW%oHk;`!bxI99>Axt`4uk
z{0$S8s##R+uuU!o#^o9M6-&k8+(QjIb4`q*D<efp`H}++eeNur0|3iizmwF5ULSQ}
z0%+Zo94#g?$YKgKO3EKn*09c*9d?JMNPXT7ON&ulJe=EJO4_RT7o+Qb7p3#7lLR{a
z)lKSqGowwm0^YkQCxwM-f+r)Z`)gu+8~?cXY1)qHESQ>SoPRd#_zlol@o8v_GG}x%
zhyRSf&6Yy0#WQEKu9-sGaoQbyYPvz;U6z7lqK;E+nx}kDPOa=u)`}KMp=afWu@axw
z4xb1%LGn-V$7FS8y?7f9sQ%8_%^8*=)*%609|M=2z1}I}p)nW6W{EJj!1GeUkt6l8
zJafP<eZ}W-`v%}MgWd34KluE?V4tGy#{ClTSWEsYflMV<<|y9n2)b<DYdBj@lczDg
z`c0KU_h}zD_HKS}i9PWxaqVlSN-&x;Iww-q-NGO~i(xb){IbrG%;)>Bk4Jgr9-|VU
z8lfu+0T^RCMZl#qlTRfcpS>H|FpOr76e+7>*e{nf*jhC+imIHga5K$nXEk+-Um|gd
zgp+oJI=F04ElEExxkX%CXKnu$7iF*Z+G>@VCQIF6hVN>nL)?mEAsXL+_-{WXrqLM2
zO4rcJlxz<b8)k0gT?}TG@Jjw-C!-gASwc#bx9RyoA!Cs^JtZAb794eP|G%=JD+MAD
zQvz8M&Ws|%#E>1JH6gdCRP2j0udF-vw`I6p&F(_IGkjci>B%v@nE;flo)x9-qpDM!
zr)HDQlJ=xVl@EpC5fOR2W*(muMX~Yhp~&%z#15D=o=eqUav^k$&^(s}e*kskUVQF-
z;OrINgI5#Aq&J#5gZruf-XA#3JH+kURn%b#7gt3kul!V#rN3~u`k11)B4Wa_$Lh=w
z#|%E&o>c4Va7mg-H6P`#FPsmH0UW7`)Nu#<*Gx?A4Z27{AWQ)9l?9b~E%!ax$9ofq
zLY6m<@sf6z6Rp6S2;;P_A$MI}flBrPB6lJV&h|0ZYsrs38!A2ep7?*2`9QV^z}f!j
zU~gIByE&w<Y@*=5Vb3eTJf!?tZz@Y!*hx@+ktS3O>m*8+o4A+Mcv*`<u3bK+(NUB6
zUrqwnz^gEaO~pSM-5Y%(s?A|Y+a=j)EYi<Qme+=#EgJQ%UieZ;{gu)ohxQ=GQbK+v
z&(-<^THYzcR~-Q5Gfj+Q-QIiE{-|Xv>0^nVk(6Jc&Db;uP%J~%_Csb%+O}I<9GW@c
zf_sGmdCf}QH4X<umi6N4EJMV{&SuJ)N<U6V^eWVKU$@y2g}_bkwc+~C(Pz?9#-c(;
zG@I&5)hda|CW1PQE^CYNr9bZMO?4bWHp0_mBMPnzcE?Z7emzpUc+sy=4dirrcz-_|
zEoHekRdfWA($5wdFw#VATAQ+U_J0s7S;#NkYcS&rWY5^#Tw<%_VSO^MKW8$ZlwkTr
z@J&Ty_kD_j5Z4Fds-I!gwF&APBNcWY=xo)>F=K`&(@y}LJ3Swt>%pJOpS|Tt%j5}d
z^y46T`buL+cvkX8v7Uy_jI#HFo0zId?8F7zCuoRfGIU9V;Wf)ppbFNvPrLfcr$kiT
zRB4qc;$Qvjye`M2lG^2JAg;lmH{!A}-LyuJ|0#zQolHpi!FR-dOX)dhdL#ab$9ebq
z_I+cFR7C?W5vnd}Gw_OeBjmt#5%&eScNC^i&kCq#OG6j7j9*_2U~h<`Nsa*@(d`rv
ziVNX~IziN0(sXuZdXEC61=(M%Ay3pxSUwdboQEdp_<l5rx+vC&?cLvnF>?i~N%TXL
zhAV-6u%qfCPUb5GJ;mtoV=j{WtiNF#bU1ajTcaN1?H!zX8+|r_yuEs@0qJnuTD`z+
zt@5-Qk391RL9LMuvJjQ$qbrK64=QzF=k+tpRTVZ3*l^i<*;aK(KT6a`?RI5qQQ!Tn
zMo_y5qK6>9y%-?b@F)Kp8RAXwHPio%sRF386M*i~ow8upJWwdSjY7~v9P`vaZ6E#F
zMaovU14XM0)$+b5iXd0o>7f|@?v8{<%h?p}%u27{!DlwbMZv(~zzo<gPAv<PqZ~B>
z>jPZ{cfqt?PSKI0LF!+A`#fikT@t_aP*HAm{jmaPpl5;9=a^3>uLj=5VneHbbflX;
zhkGXE$Y+6T2Kd%${vfp#0a9$X`cQm3wT{Hiu$1H^ua|5}PVq2A%Qpr;hef5Fofanz
zw*60Th&?PhcY6Er`<M)=UprTpPWPBaMCoWG^E95tFFQ|N>7)2byEy=xHzFXO1U(a6
zHe+cR3@b||fJ|P~A+7np5w(DuK##Kinh+7*f{$$zyV~#hnp%wz+bo4nckcDKIQE4@
zUsx$Wt_7Y-G3!D5<^Z%bLNIIJ8^2XB-onp!TLR>T?J`iXuqgLooT5G|GMd=SCQ=y8
z&#By96Q0dV6eB~$iA>s~KkAJz-=${f_$x@@1bIUhME23Hb^$D|!;Og2MwIU|Cs)C3
zgBx{J5bQ7)jOM0*1CzEW_i&0atpT5F7WaXArBHW+1{}DjN|i@nBQ--vLF*13;xkKD
zoGXVFZ?K%E;={fr>Su1V@QsWj_!+Q@vxY$5OockOD|i*$Flnp<AnfAC)YVkH?5!RP
zt+@2!8YyYdJ8fdZj~9P9`BI8gst;$H^p*@p-!3a6$)1IV_y2|Kjt5CFHaGfXL~&B8
zuNfF%r0<9*da(eAcD|bN|1i(qJLnyV62e)3PA)gt(IPn(o^W>mFI!@8WIK?1*N~{+
ze!X^t<}WUG)pg0!IE6A$D<)n&Do~B<a80ghO&*7PIM(X1=Kydw*Cn$JBC$cEUDn@R
zZo+^27jXWY+Ml_w^LuCFZFlAPmKXMZkOVVC7f=mx*<~5t{3!Y6^|vWWdzDO|ke*$?
zjCIUrD@AAaoa^uqF9^n4R000OgIgPKP3i%j|3T$|*enxyQ&^IQzrD&HGB4B-=L|8$
z0B=!!7u4Z1p>2NP`JTaP>UR*)QMUNJzs9fG#oD>zbn;UdFq=$%voWGXfh9)36cYa*
zPiGkwbsKek1!?IHL0Y;&T0pv`Yv`7)p{1ouKsuyTN^0otZWyGSp*!Bc_wzo_N7mxQ
zu;$`i=j{DE`}%kKB_yR11eQhY`uqum3Q~c?Ux~MLs@9)Jv8Z#bwhBm{vAXQH`3I;3
z^HenPyCblIJmzL`kDHwzt|FOtS$NyO_XvOSFZ)^M^mA}ctbetw-gA2z4Uy7NO}|b#
zunjL|E)irFOGKx&4Ji`;L$3)|XwjpZ#?PPIwd95yOv1|?G4ET>AJUil%78J@`&Y#o
z0piG1wcuJdlT)(awk$AH$Vd82bnK2WQd#o+2^=ixy7A`vl*@GhPMw&-n1@Q|xrkd#
z9p?}8k90gW4fv?Bztk)h!=IwG*nipGN~DX`?#8wVEAFEsSaPT09qlAI#Lw$HH58fq
zbcW7SVv|LNgu_os&>_U+vQ#z%QAg2Yzvep%s66Z6+A}O~LVZa6VlXHZWbmLb?f43P
z)p+Pk!lcl4!~=Q$8Os9BA$`1<Rq$6HqFD_#=f?N=@7UTA%<<zUBVBXl-}YkBP&gjq
z&*+V<KIClOOfiBDoG#&9o<pfOrF?!)DQh95bKnQo`7952R#q2zx!Bg~RC%fEtrRlw
zTKks_{Ti*$s5?eUdKD;}9{X(gwOAG&gUz_r2zU-D4N@1{_2d5WM=0FX(Tl!!Ql2sL
z4<(hs_d01Ho{4LD`Wi}P5=|<>vcX3CFG)nR4ZwD>?xmSLGaC|M-BmriZ=U$pl85*9
zJ-sK0CuB8Fun;0Lum9&H-#h;^lEXIu#scjhuJ9KJn);G1^gY;v*$)|p$8|cDV<DPZ
zc)dKyfauwK-vmmlR<MkDdEU5*=x@Mv5c9gg+{Tt?W19D_VP?6oUxfF57})skZ5>sP
ze$+vP#1hI6V_lEVjJ|n=1N|5Pp>`4P<78h%2#X|`b>lRJm7`Oo3}(z@^arX`6DqdN
zrMQ>RdglqD|GRn4XAZsG)Y@OGvR$20jn^;ihO$=@Yd#!A9-N+_4S2I7JCH4b*R9Er
zc>G8D9;|~sEaN;{qWOkW%l2k`wbI}u!L8VDqT+7UdQMqI{PYqY70<TSA}-%3R@#-a
zjhwHUJi!2ICz2^|lws@J!oI-SlAms>)4uy__q*$RKTI`m>Q^66N){y~kL|vpEib%r
zol%+IQwR5m2v6)jt+M9>v{2GJo)APgU0>C_FLa~IeJ8%$d0E)Rte#$NjD(7f*3EDq
zzIpEoxUM>!Eez52>3QbyqRGo<X;@}WTf{fu)mzJ7mi9p(5N+D)$9@`gK8N!&T|t#N
zcE4)FZT4`hcTmWi(2E|P`qwi2fV{0j!s_Kr)UrzNj_l3j#K6&wEG2$t^i4aViSai+
zL8ic8PtbHpi@q<9Y^Jv+6A+#ZKuBR@*T9Uezf0P=NdG2|wbCo(hZZ&trH9nv+QWex
zIhHI6o5)hpgHy*V6-Jb*#h8Y+&$a$d9R14_Bs%vFJ*=a>R}3Z^9^rqY+OUwuWo*;J
zMA^knm)S{Q!es2th^t9>hW#)jMe|ORi+4Y{e&_zf7(e1^Ojk%OFMVrNBz)L`IgQht
z-{jp2#1>|S3cXn#rfhAx0=y9eHX3n4qS^e>6sZ&W#Ovw^0fH}<vjNj5$)DcTRla|+
zH$KlSTTqfiLz0iopDr?@01i9r+?D}fi31VOXfm&J{6X5D>&RO`pq0emMVFV_KeC_h
z1SFn+^pI$T%K)i2q$TOpkEYmj9GPu0fF6SMfBlV`1KsbfN?7zOkW)z96a?<drMj~6
zXM@lQTI`$TKFIJV^?vbgDQToTOh0kT->asm#MpfwC00R6NBu)zdw->|dhnIAMBR;S
z0u4?hEyNJ$qIlM$B}icdE6F|<5nhzpi-7BgD;^F!s90lEmbk;urFSw=?qb#Fj;Y_8
zhP!PoJv1E)$nlz4PQb)#dzDsH5yS6@6g!5dKF_o3I(9<e<vmb#b^;(o0$ZzGT@Tec
zJAhASINe7o34XnLe}8&bU9=nCK!4bFzQ*^ZHVxlwPzlv@(5L28O4Z9IFR13*3}F;G
z)It7BJCouaDBfKvlk03LMwlO>O9r(3`Y6x)K>>W<-&N$IJCs(+)ZJ~VyR8xkbcguC
zR_ivMd^cW;-(1cl4C5aipFJAa5$Q7beF<tVR`kxjkN8<hT)~w#GHpXlwVKU%F<`9d
zzzl$!3JxD0>#rm5X5@_R^8^yd#-(ssJs<ep+}lddLsj)wXTkmhW<;FV4_;)Q0f0Dv
zQOWuC?2HWuDy1N9GQ{zVXmZ$e)p+M3iH0StB%04AgklM?@3jsOC^y!2)$&@n>cpl|
z-53A*RXq*8^_J(TIcCN?we`v0G?v=svrIp33fzr4;h3q&S9o=)+`HSsj{UCdEa>JM
zU0T=7=%%Y?HyL(1EBL>w+*>9;7QG(-dwThvS7)VT_(~^%7a`$JPru>i<5!~xILh!6
zcfn%wgg?$xNfSE*)Fvh{q-W;OOUuQv7U~|h6wfo)sob_pY?<IzR0I;bo${FdXAsQg
z1L{}aIJ)YEd|H;5@mbGuIR{r)E`@Fx%5~JdgidzKJTD?P*E=PVw)jxV-GttRnWiaj
z>;2M*Wo`gcHQ&vgqcjcswJIVESa@NLVJZKnRs8>PV*it^`PZMkf(au}aTHk;Z<AF`
z1HC=WM{afy3aU>T#X)PRLd^{X3s-E>fUUB+e|J3JY`ez9>8E0r31NW$TZRK^9q?g;
zwn-&dkET7zS2j{Zj0x!>PBLJG8`j?XsiN}tY{?Unhm|g!j9@TroR<Cq>g%zfLMFtk
zvvls}CZQ`){1STmLJ*gg?$_hJ-FI2_zxht6yKH?2QGj##5Pq7#A1f?;dpk3K)3YqW
zO7_AktLDx#f$(ZyBp3NsE#lNfh0FWVZsJz7pkytXW*SbLUmKnSa<WSf0{k`b^wh!3
zls~p<z-CRiy+FZWlPeR<mG*LP>?u3!8XU>rTn$}fd#M?=eO<EV;@vF%VdItge#=PS
zc0m;)hh!ql9VJzV!mkZ7U>_H+VJIxb(03iXf5a&J=7yj)ch-h+vMeGh4Q*Bnt1-La
zX=~vZx%p4IsR6dN!Ty7Yt$2kXEv<B1v4$lwP0^cjx|G>j;i6HhL;CD5HWPbZdQk-3
z5|%A)799Yxb=4pUAx8&oex7QjS9F$ICR|K~3tq)iaHK?yA1teyKb1!y6LWF%cnVo6
zo5@9dc$4=Nw))jW=>3a==`+Hne&iwfNNk92n?OjC1V`I4=W1;Ag0{QMJZ@<f_Zm(1
z)QMMJUEiO8SfO<R$PzpO`_pc)Y4e(h@TW?QQ43$+H6RG!Er*;PbF$P^5cbbG1SKq1
z4Q#g4yP=HBzJwq5KKUKMWX-{_QOC(;eCUQQkCLrAh-3A^_4+AdgI95TdfBTiw|mh7
z?K+laLB|<x86NzuKb6^0kcJq$ht-VeyBHx_aF4*1Hrz+JIX-ImfIpxoVdkk9YU$4-
znSX=RBAHJ9PeKWcyO9Vcq-4|iiNxd5^<X?8*j6Qfb`SNzK6r|QV8g?ZwhK{4vQ8IZ
zC!#|X^BFBkL9|}6Ok7H(X7t16q93;Ce-P8FfAVwDtE2O7c^C~A6*|E{_fD1;mhWym
zW%o48A()r_oON%svtS1PDSQ>q)h^BeT_2R3pMPuPC%Ox?Dirc(ez{UR!6t1%(>rUS
z3R=1vYilyX?$pO-I(=v9`&-$n>)kd%Pn1|tEeR!(*NVZto&jvYWdh4|Yuw4W))6#X
z@eE@Zqd3#(XA-QqKK$KUbBw+vTt^Olww8xrLt9a8PL?UxuhgPQBfmgY<A*a(c7JSL
zdw4yheLV)aW*-;orrv9;cP&Rw-Vhh{8JAs}9WKm??d-&D(owq?#@0szS<W7zQm%E(
zUaxP0fB$KTDolrB5i$^~{tJL4(mecP_iWA6!{x5%`h}cip&hI>rEysFVTg2AmNXBf
z^k>UGQC-`te*GpyHuMjk)TO*)VU(ll&WB_*eaw#lzn&r?Ra@;gQ0%8}VD_cx0F`}$
z6DL;IH0}&rGDco*^@`g-3=qtF80JCLNXXROxtDh47<kdM1J$~Ddol=)p4B@xxw0<Z
z#ZAle3L<B@wX5Vuq*>%YAC{>XE!N45c(6jEUp{RQEy#6^hB&GVeYdKmMIsc>>XmCT
z!=U?>pw&<K)x+Cg-r>WW$BMD;r^I=mi-5A#cJ3PS$qrkP!+rKmdzd1%DQyd%ftJFx
zP1vt@oAo-BlgI6a?;^`<XY#3bub(L4#mNSScKRa^v1~E5Ux7Fz^n!Az^Ns9=I944}
zPw3lyTNfv8A3@b1gRfH{U=v`zoGVSinKt6R(MVw7-S|%)u^)5D)#D6TcO}swgbs$d
zOlVthYy>sGLdqyBU*|1p=-d?!;rwdO-OYloEWsYS1-SkiI#afyS5$L|p1P_wR!Sbc
z`#z66<o<$|;&8?~&>aC6M$Lz*_K`PAlJ9$q`LNxmt?ysKvS@?SS&mM<xh651o1ZgI
zPgvJiNu9ceQDFU)4*E$OtN2}L_Wz8ZbPi=O^KWhr5zPJ3d0i%@<lz`5uGq5et+NNz
z4>R6!ln=R7(L&GKsRq}@UPh(kxa6sCG1b^kKcsf3SiNt@Tk=YgUXcgP+(M;g78(!h
z8@04w8GyD;PSh0{=K-D*CqJ%Y9`oFtxSSBKWl*jX05D4cu(Z<Yt3HoXD;?Pg<3Y3)
z)OP9>Z~c2vFhP(3>F{9~&-4%gp=1ym;#>FyCIUoH(AIjiBm?v(4#)vUhy$fR$znC6
z$b26w9HF$@?vPKeWf6C``uti7taE*iB<b7cn(9XYD<@@tF1zHs<EOW(`8Tq>Fx+a}
z12w#HdZRg(pSv@ydB?l;M9qCBL)DyKJj}*@to6&+wuvpA3-ssDvIauAEE+o2)mj`^
zDc6WdnsY&o>|2yoUW+7udaUI>(K9hbX5(1AgQS<=EHpG8(EF>u>kJTqxd4<)ZhKQt
zF)O!q!Uu2RUxNY_$!f!2#^xsE_lBP9Sq%$=K5nZUO!lUgefmmmufMmgRN8~0NzeC?
zK}WBlB|cZ>=L0DE?C8W~Tq<A=EcX!F$)2r4w#w#QigZ81nzIgW9pB|q29)P49JHCf
zO)*S6uoGH}X6}Q5tAi)D0@~_Tx_B|Cr$Cd@{MA$PoXYJl0aykjn^?NEyOH}vG={X`
z-KNyoV*$@z9Olz}e}t*CuR=PuJz7iTmn5oRp&1c?T{N@;uWCx^zTfzuS3&1IRz^Mx
zsFcSiLrsm>zpmdPDTGJ#h=iRrykKw^RPSc1ehYEqiwdVAoc4H5aiAMWva%|CX=}QB
z&S`5d%iRj#Ma#JTIhB!EJcJ!e6Fx5nxO4eqbXpQ0p39izX7L|gndo0bS{Jtt7(RcQ
z;OwlceB(KC7Z7Mv!)_fpVE48OFM$9mz{TEXgniUnCQ_akbDH9V2Dz;IKAY;~iksS0
zcklpS#=((}k&NDtxV!7<?Y+YOZ&LgSc>FgLxX|#{5a39j1fSlgNOfv4u^#<uOcq)K
zVL%V2fMkJFu;h+Y0a;Y*P!u2!_Wvj;!rL#x<K*<s-MJU8wKg;UdGFFWC`e2Y#~STK
zei2fv<w309IuMxZbZh%#V-<V-iFp9{#{%I(*F95I>O5ZC+%D~g>R)K~A7M=`gB<*Q
zm2I7U&j9uOMg3FgMf~~91&<b<@`<aWh=+`G`a7z1w=u!a4ndfsinjyaf}|5Bj2sIZ
z@Ye`}4VuuRhb(_d6D2<Pi#qiq*;*xDr(MdbjN<X!9*uC2PZ<2=+UB}p3h+FRE6Psn
z3Mrz^5_8w4ZhnDuEgi*${vU4J{r(+!+$GW!&G-w%iPrO@-f6DVqaXL;OR;IPCuM^p
zNxn&;Bsfnz%yImW0Z^^I!?+whhSpxrU-G0gek~_Sns^1|Qu$$OfP4NA3j|x1NgB?U
zF!2@x%NhyX=e4?2dp=6)QW2OYyv}(77e3}nrIqgi`w*&voI7M9tdHvALOex_`!PBe
zu#V*3rj?$A5=5TGUr<(PeZ(r%BZ7X(!&Yn*V>XHOY??yA3a8rat6~Gk^FpfTSBBI5
ztT#Se-3a|`p%ox8j_{3VFPL5Mj&-r}`t9I6cCEM88r9bY=%X$q3jsxSI!!Fwm`BGd
zrdl*h<#~tK&K>%&q}#-BJVe^5D=58X2>>c+AAMeRgNljFvoFX2nt6V&F^ZEF`|ie)
z{4p)w!gKf*!}VkB{yePXxaD+CksJ^O2{nbW(|(`m=(~kMy}lD@J)zn9>0ynuEB6b)
zFb_z*(&W+8#MR7knykccT`=^S_PO!C_oLu9MOn~K!kytgOx>SzGpDuDs!_?_8T}nl
z8O|9fX5cItoK<t+(Y71`DA0LsjEzx5Zu5^;Z|bo1^FMo=3x5c=zph3d238_;vHk4O
zPSIr}#sChuH|bwRmv+MNG>!Gp8nn3Gz&L+C=3fZD*)~L)?Q4;q1#cGN!C05Tsi`T*
z)ohb^sUTu+?)$pO!DHC)wDJcoCC&WAaMOrO+=vl1^P1WSg<_~)yylF1Br~t<9~z+z
z9TN8-DM;k6wuxYRg+InCgd`VX>+w?Du?i8%&?;$gdrUN+pZu8|ibKXH=ql%_Nq_<K
z4wKa!<s1~yJp!h#y&l|JSq9w@050HV?Y!=V1%BzlWp)+->iuqRrb6subjpI-e9h)i
zY_U|?3R+L`g3_G497@l0E%~>ixduoRzd*8qKTkD+FXD6xuI0P=1Hdl;EsWJm<4w=%
zg$|eyDzey(%tmm^;$QwyNpn|pa2Q@%{w0x)83*+2pZ!lHd;^mC04Ip=NAIOI-x^68
zfYxyC*DSeOc#zQtrF-phLebT7x%R3%4cSv7aQ8z;VRypGV#NbZ9=lzGb-%;6#|i-T
zb5(pbSg~K;Vmt#N#_S<DERqv<Z{ribS#`cqtdLEC>C4;VIVW`n(ggeoMA1SEEbZqW
z0%CG9q2OOLIY9iCLw%Y6+3_Evm(xolBE~^f{NU8q?^pC_t%rvq$=YZ$AQ>oz(I;~&
zmM?@nH0ux()h??x;)HyazVwAZER|lp?=~bf<+GH=7D<4%Wfot?!`VVYwPkZ%9UR=I
z%AI2uIgjj%!0M^eJI3T=L&TYY+c;1hE->n@maYcioz9=wG!3vHmoiSB-`O7{Am^lZ
z-x4L5@xWK(<5iy}M2;P5ynaYXCI+9R?Ovs&Zy3BBdUOfwciDsYS7|CwuhLS!m!meF
z-j*+N3NP?nUjoIvttge7`L0mT**EwvnjLTJ4BVjbuY^u&MF+Z+O`7OO@na3=dc_h#
z33e*0pHdRGwS&}3@XVSL`m%s6_En`GgZOGkb9q?IGADKgfg`)>cQ!3`XU{T9JNODE
z;#5l)-(+ot&B^H<<Np?KUVwtaqyob2c|qgnA6P@x=UcdywsgpESYuTvPLRha3|v=8
zr-n}mUUK4aeGRjoB_x+_BI-7Q-NU-iu$zb|d5=mh_d{kbi!F$Do>uV)lN2BI;A)Hq
z|GF?Z_@CP&z55REE$8K1Hj`F)`lA{EGBMrM9eIzXB5!%~xC-p^@OXUqPXf^#_y;9|
zlGDnWX#8ECPp?cxxbEGLYqutQ<<4r%EXoI4_=0cZmcbs$vt*cn-}Ao8-!a7wk}U=H
zK=dpS8wG~WOlW|T!<s|#ADBJOOM8M@>!H(+)*A|{v^DrZ<K~>!owWi6*(5C>eM}>>
z`S$|$&_gtU^=`<Gybz^Iw6NN?kSLW+k86o*o7njJfra4|ZbFE%(H#aq5M<R@5Bi)s
zqk?v#bA%_>4j)=)r@pMstDAkXoR%2`%A=ax2aKP^L!J5NbTuigYlBE!s!vy!eR-eV
z=$!R*Q3&O?r<$8}-|uvgC7m1ER{fLv&<_aY(~SqLvdM{nHv7dJ=Z{%8i!hn?R*En6
zir=143i$gTA+|tj$%R!!wUJMY)g(USLXG3TBX_6-8Cm#3w6gNyP$=d`As=<VpOf8C
zJNMK&IAdPlT@!6G6Iie^qiW4PwO5{w^wdLcS+fqk=H#E_PEK7v2b#dqGDe>S$32oV
zOX0m^%Jvw5hIOK^?R9Thbws?!sb|Ncf^f7RG66-~V+kJXm563qUsS*dCH6UM1uBBg
zWWz8Bwf(B&XSK(v>w1M=+WK4ELlKK3^hsKYjdNA&@kW|>Jk~gAZ=(qkqCLmDhM(xO
z<0Kd8rRoOpul#A9h{35M1)~B645AgunN>rIWo&XSYH^iJN|j6<9hUkyrg?)&Pf-yg
z0cd<W%K+dKf>_`DE4e_p{b#+L8k?gl**mVCfCEfhaX06;{eQ1In;JLNIHb$Yet|<F
z)s`*G$gsyS6xho0V2~mh(@f=J<OT3ffoQz077t!1AW{GeQrQVpLiIvYizj=L+t`!c
zXicLh6YK`vA9q;P$b>lAXFU#eB&JyIoXq=B4%QKt%4iZY%VmmW$E-aow!QS0Z*6U6
z3`jx)A;u{V=B}JaUFAEN)&L`>^$kLy4<80G3_qPhh49v$36zj=JA2+1B#nfbgLDRe
znZ7p3kOt{wbog{eJh*OnY)>~|@XW{jD5Cgp*Y;LfN3O4xG}^-Sr7ncT?f4J>;VDxt
z9-FQgg5%>s5ZGfL1vd5-VyFaeCp!m5fEI-F6JT-Ci3h5^44&+M=vh^poIM?l-ui5Z
z(Ov%*hU1%;NEq)#hy{I~37v9?U^8qsaMaA47BG8@(z=)R^QB}R(EXPxRn%FUG}d|o
zsl{j?>RGd|{fCf*+QayYHsUUQW&UpGn{hFh<dH7DWwrla5VqFYL3*Cj`480s{GPfJ
z@>yWTI!m=Edv<6t!dofHTbHF9B3(oAYNpg|&}|-Y_tj4D@_Bwt*{|zU(KMM!$2S;}
zuy1kMQW9`hv=t9%>ntxW2+Ul6%^Mb373JUy{-d*J5WfXq`^nm@aWY2N=Fh7AZ+wMD
z6Ms(lw%dvV0vblPRvg*Z*4O*@i-TAkoc-pPpRMpq>8D%QX<x?38<(nhQ-Vn4(<QGT
z8SFH5C7ethrh77YnE(1!sRZiaaLb_$+&gZJlIW10pt9Y7fJcK1bUqjf3km-$9;K!i
zt(ZEDe-i}T8O7vJ)23R%C;QfYKQ>IsHg7x!sHwjl_X7@*u?waCmJNW;u*2EqzlJt^
zf0ZIBARo@cb0M`OQ%Jv$beGSyNJ50x7ptv(HS)NIW}5?RdiW<nop`DRfI|MP{To|V
z->0|@45`3h2p0?qX{1JT855;fZaEuZdp<T@3q<XF8RS?`jW=mT>UeFys8d>*Gf`Z6
z1o_oKa{uVBZHZ{{;uj!MG+=-v$ojD77an=2!my*y;|IW7q7g_uFyZx8d7y80_zL_i
z4r=GlOC{L4dbNuH51ZlqvZ{JB_1i(x^_EqQq(um7;jQv@D(lND=)W!V8mg;0&P{cl
z`&86LC&_y!$%ELW^YeZlcs2M$<9lpM!U@m;+I4XM$MsdWF4C}But&(L6fG~>-3XdW
zbP5FZWL1Z0jNSzc$+QWyD<A1Q2Q~55e*C@jgY(czM}TEM-K$RMu2j`+?Y@I&w{E<N
z3~fwCrB*wcZwv(%Q2kHp_7f(BQ2_iF&ib)fWaUxY1`w_w)QTEkIn(eEs|4~v5j(}z
zeRo?@B)WYP4Rq=LO_|v_gR|-A8~&(JYhZZ=-vd?Fr+h*l#kzytu#iclY_Q|8yR>ro
z2mgtdgQ-<F?B@x^r4ZL!V%RkgA*s4GdPuo01=DrdHN}9QrX{F6Aiw{z8F<L~jK7|2
z^%F`G)^CN*%8c1Q#o)AW=a8KUs$YfGH-3?e6M%w1ew6<7APHs?#ti2lq?~kqc%JIO
zfp`Atj>olTpFdE(7453~H$j^_4u2M1{%6(gcM-!i_gkhUSKCd%`0EzFxR#v%Y+0h3
z{uv{Kjxc{ryuZ>Lik%RrFXTqdO79J;cg#W}8ipo#jRyIPDyl>|Yamn8KG<Ee@x{3R
z%xGXYWt**Bef;~nS;afaCyx3f7WA@rb8xV?K5R*z4C~6tSQo4ni1PS>(m^K>UL0?L
zvxQZpMrL<H6CyuZ5w{CTVr~pEvTS~y&>R>BbNF3$>G2r_^1xOEZyrm>IcIHC4;*+8
z^+pPPf)1Khhifw9FR~^-+uTxJKb3H@RkXcfWS${3C~iy0ANpZp2yrpGc?%GlV#_Sf
zwod*7rvrBrBEsy|f4|=~0hUa?!T(3aMd$l~k&fJ)=VcHDhE&Jt*(i5b8PyDIiOtj<
z8jujyrb*Ll1%J1&_60@RTTnSvzX?0Y;(PIWxJNN3>EU7Gd|%x}by3HO#?rc_I;VZV
zoMXIIpV-UuAPyWG{4S;t2vX3gl*VSSw3OR%t!4&_A5?1&`K3U_5Q*TlVB2fZwd`pf
zz-z5^?q8A%C`#hu!>4ULbsktY2XKeUXhd5;OOxYhz5h|{fIe~q6wo4aqZ)&g=S}<?
zn4B78_RBS><wO*L=f>geR2<dy<u2{fKZ&k;&EHK4ND)|Q1>|smEqI<7N^9@Fid)gu
zFK>!y&HSN-7{?nr=`SZnG;?f#6q^-{f@rP6{*y{)A1Y(5^x81O+`l3Cl|-hF*$;(f
zrtVPMKl<0XxjX?^BW;;=iZ`F?S130tSPkN3eE}LO5U0h=<+rXqmHSqp79W>v62mlp
z(LU-IHv|ApDAE}UwA;;~+a(KqDh)VJXvk0-u3FK;BW5DaUYmv=Ja&46G_VG8vh}2X
zku?Dt5!%p4vvLGx-R_A=1wj0Llfuy)`()<e5i6|eI`jNJgs|T8GoekDrW@Z|FK?6Q
zS&XIuOd8otJ8ym(O(_hc&EGAI999X8E_$K5-Q3206thS`{~+0$f#E|*ck6ZE<M(i<
zk?mI6Pqx=8THJ2QOF+yszaK|wje>~RL?}=;8Y=BJ*SiEjV5+E!-b(62IJpGBJABTt
z38uFaM88?`5O1~R^%T!t@eqez0-J1r*%Ftp&nEc&W2-n)-|q+_aCcD9$wCDoh-}?}
zf+!phNA8t(fhXQk>(Q@816&H4ZZ~B73tlciyoO-Dn2!z_*dVI&lt&|6XyeUkUr_W-
zP%s|`B`oE~#uE<5$K|Ju)D6{9O#BW{<>X-{2D3U92h;`cVe@{bf$6A-FrHZHECuH1
z`yLy}NkR3XB;n7Hl5Rq^Oax6*@=&dAZ?%XUE=t&jHZa3|yaD9FEqq~!U?KuNV$tZ$
z2%V1Uesx6Mi&p$|_W1~aJGIZ~s|vL~Ej*3zT6&CO3R)T<d%o@(Tdb)4X0pzp8@fw2
zm(ro_B$Bip`5q>(1l|k<wo)HfL{E86?eW$T1`c5_LIa1Sw?ykt+yl#s!nN526^#Vn
zz9v>YwU7?Jw8h&H`B7C&J@6k`@<Np&qS_hS9_?f~n*wP*)DDW?(=M@%+KK&J<&cyw
z6S<j^Ns#i(y(hW)W9FvlI_2deq8W@q&(5HA4_flyi^S+%HF}B=DF>rnSpQ+SB{hB`
z1-ZTe6V=++H^HpP@4t1G=6oyvIV|_Qu3PxfLZ4Olww{q<ey712N1bzNJ`F9PwUpVS
zPHb%y__pgpH)a6#uMdYg$-9}8RI#y6owd<5SG|%h(Z|WzMZ;=B(`~*%S8=>g(4aHm
z6Zj49*HsBV=LoyE?yY|L{Yi(d^hAgCeyvj1#zszxpRO0yqjIM|5`Eiwg@m*^Ue-dg
zE~Bv%*L@iz<$iXZba3KTTZF{YobkI~pZ{if09M>R857J`M-Xlc#WzMSJy2!2GicC`
zGXBcF!6}mwd1%YDWA#^_NK6O|dc$tG<oRqfYm0t~f#?lO*E>l=2MqrcU&*{Lp>cc(
z>k6jX{u5oUfnTypao@HR+Eym$A=@C0QF>6TENHRxh$ZUb)nrBTcuLx(=@|&LF0uoy
zw+G?Yc^GvX`(lvBZ2=NVrR`K{+ef?z?%!Z^{1f5dc)cW$_~<ND`7-sd-|LC?d<hM5
zQ?zLR3S>lhrW60$&8$U+Nz0u%1Ijbd*gDCBpK`GstiZ051s;Daxe0u$WCU{ugmf?}
zp#bfWh`%q*#2Le6JXWy8)R4VaucX&8Md~j0v=$e)d}Kf_mVbyA`yQdM2--V&O9gQ<
z-2~)4T!dth%`IT_@q-o(&?-fJo|<<R2d{eRho*rSZmzQ<E~(8KfJ_Rv*3tGvQ4ANQ
zoaPIRoMso5GD397R;!G61zW|I#v!x9vY}sU^bHp7KSSja3p&o&+rkugQwu2O!Vtsg
zQ%+2_CASuzr~gr$v*vb0t}h=G4Q@<<Eut6kcYuMN5I#T~^jP13@DS2Io~|1I^B=?L
z#PnN(k$g5oV>d^Vwqc*Hei%iO7@i5I#eD0yyuy@R@A`+QRQ~Eud2KTHZYEdjDJ7Ys
zvd_r32QMozId_X-%gA1tKc#;IlJ6aB0Vj4LD8isT>Ht*9B2&pE=Kyi4=FLvF#JAln
zt<lcZr*zg~VB^+IBAGE8eHVkVdl}~q6>AM^lPM~`ZDnUnow8fdJu){pOvHsMV`q_?
z85%2Yu?ISzIm$Qx3dyo`UU6{anJ|JL(IEFDf~x%VFTUp4p0M%xMoRA$LbtB8P0Ohg
z)5tOjYQ;ugVX9nQRj%GmXn0-`OcT2)g{vy+<*wc!yEq-A^^&3cpiqBD>v|aDdl_R%
z<+}44eY#(z8Sy{t)f$wHU}3-7y^U)}I(*c0p99c}!Dew8>%uKUqy*WdoCJfm#B5E>
zP(x>lKzXVI^AKOBw3XIJeYg5XMYToGBDaAB0BPY^ZT|p5DkymKmo7NfXP>2ih~zs)
zY50nj>^PQt7yAor&ivLb@o<7+$IjyMJ1*3K8nQJjjAr8}IEdm<PU!%k)PAToG5qUS
zVouP>!QaD#<kw+Rh{C=N&7`>XI`rx_xI<BZL}t2u3a+Et{3-tXawnbf>JRTd)VS`%
zi%^=LFyPutqB~1+J_U(~0^CK4;Q0?7r76CPw1ePXO$A#brDin<?qw9=u13&%jLqu{
ze#!Ft951G%%ITz0WluDLi5U7}s$P4i;+vNtHvc;p){Yi7J7jmDrdqYLm+{jD-wXrg
z9{1mZ@Mgg2iIU0%269yu8=csw)eQb|voP@}ejRd^h4fcKu8apA0LF2sa%x0FVZ*q{
z@;&S%A2X<{{x8c(!#HtP`1&@Aj!8o+P)Qrc`BS^0d!;}l`$upBzg0b2q;T9q)j%FX
z{F<>3lTL!0c*338V6R)YZ*zM;8jlN5qfiyoKD&itB@PU2m6&aDh{1CV13;+d452yi
z5B<_scg;xR;q%}jvbeqR-hLoYqSr1h?L?|(N6aCXYvSbqMu>;zRf588;*H{<$YVxp
z3uIQA1$BO7zBkWriR3%a&O7!FKWd%FVd7g&?W{&vUWH1fR(_PFR?ep@`D~|@E4C^O
zMUl3H=j@n7A=kYydby^eKdRRBg$X<7tH;`Oo3MLZX(9cYq$t^~zUZ{Jvmblnv|rf~
z7>VE~S>Sm8ov^D#K(-!GM;T}CByX8KGibP+yiO|ETR#z!XT2lIIPf&$gOb`Xuz!%9
zeiLel@K#)~Vx&hj$Se>URqDewVQE$VK}5nK>cA>mqn8HNMN)H6Co^-4x^MkNPV20%
z9w6fuBGD6)F>mp|Mc|~VV2X*vWet2y$6Jn}H$3pI_{JczsSzXG1p2iv)_tyzT(^sq
zUTl<u65@^GY50u)!V4XzgLqqSM)P%%G7T`X<R0pTCbT6Qr=;(&Y?iTH|1n9tRtP!L
zZaVr&brDQ;0Y>Qgm|ZSIkK2z|)1%ka&`fePZDD9N(#nk}84xhl986>>aE$JYc>FXJ
zd=nJM2L&E|JCh5U_0FVPa2w$-){jAG$sEZ>NU?7@l-&<Hm>w$sh0mGax>m*&NikQa
zyL8O<?mETj4Z%j*;^y!`hJ*|l6QpuM4s4;}Kn(&QhP8MODWn5mcg@Dt4B4y)Uwo<S
z&u>};c}@d?=h7jr=)%pfsc}H}*}{n$L~pAuY^49YyFqEGN9`(^4=&q0M*&}to}!zW
z!-=NNVsq<Rt~R>@g=xOHVeG0=F~51IJfZ_^C52M9R<<_{<U>?^Lo@~esWDfT(3jPW
zG~qB}>Og+VtvAJ{Dii*IURr|n-o4ruk9HcLpuyVJSJBI*?0EbA9bTHkp3aX2XB{5x
z@5qJ0*!#x`e@75fST%8zc~}3IEMBTYKGOOoc_jNq1PcS%2sQjQhnjPc;mZ;>p~s2E
zta<(9{4tTTA;p<4^Gi83ov>d)j{&GvroUa-X-a5__@6$mN7oNv@~ft+%@iUKJ|3LZ
z&SROS-UG=F`HJsZUS$G3_B^G=$Ye*%{-+EqXayo@{Bdb(<pAyc_C6D{{&X&yS>jt0
zj1Hlq2^*a{=%@Ft6qQ2Z;5iVF;{t;K3)z^6_Y|>0HoS*SOJ%502Zp8RW5ruVly&^T
zXt7zR>#oa!#K1Mq$XN|>a5m^H5S%Z-Fmz^6__7PE&3r~>mY>GQBUSf!&=ttAn@fHD
zGKE~G*{%>ml(Om+o-%Co!$8YRtFPB>0q>%ZOQ~+t;u;GZsvHVI%K8`01Kh2{$gl+<
z0?PZ9C#5q#ca)2x3Fp=&tD1uYxQElU?dcKPyFC8}vx*9^a|NcLoA_JUWNlh{KfEHX
zeV}(#TWN1GYf&MIk<_pJ+nb|r<WU^R5PAGH23p#YtG;=t)?)NC75UEX|9ltvcbgwc
zeKphLBSFSBKjGw)$dg9Uxs1-x3nM3RiTgcT^xdV|0#)?c@n#9MXk}76D_~na)nU0D
zwR%5v77~2Jj`ZLDAPdlIKHLT0nCgsX%YZ%bW)v=i+o}iWo`I-C589L~>R69ZkCv5I
z<rSm9v`nAX99MJBTBh)7ls*s^%VAER%SLi9B;x)9eSE24QwQqcX|1Qa>vDlz2;EJ&
zW>z7Swtjk-g2j$e^Z_}Z;M)+9z6pO{?opz1-9ZY8f96;ZZtJXyRq2R5qq53iF(#om
zr^~0Mufa_W9;loLk!E;1bf08fm}S)GcHZ|DC|~3(tEDF`e*u}O^XWxb5VV>%uL(QQ
z>$M3R@H3Ynj4-pj73UCXf%M7sAWqN@9js7RApUM4L7ogY4z1;fKA9o(NWk+_xw<Fb
z0o<%dtVhD;?XOTWLm8+@(V(o|hgsp5(H2fAk2WOg773Fs8sRtOgA9a5&$gA?))Nm%
zcXpuiCXzg8b=4_0*258|AcsdLH^bw6znc}l3->9l>w9u!*hVQu%i&;;P(hvQ0%6lJ
zS!(T0w&7KE>Q~vFt<^k_wt2G<2kSSNf)tmJFWaGD<@fC(!|D!ek<erj-)-Ch&*wW$
z*6lxw#nW<~BWTRpsh+tzUUI%1CWg7lA#^DSg46eSO=g3i-7MTM6wRd-597`jd$_cI
z6Gpz5L8_HBk2P9cD~NutIx=p?TKV(C&aq_%aGS4EL0lZ@flLE(;NrdEg*MVbTI@If
z%LC9EEf20dbw&BhoJn-e%r89r3z&p{2v-VM%7_*Y3F#(3`yw=Y#WI-5cn|jQ+a&|h
zYva?0dSq87@1V4=>H)ii6lRaWBPfZ<reXkm<nNk4`E8NL1YtyPb%7DTXip9}k?#3I
zPgWsEqT9qkr|E&Tj0h)@to6#%u8Ntv@=hKFsJ4A%=W-})Lc$Zl9{m9G4$%(gJJYNj
zu=EfIXL}(H^Z+4)1+C*6tI<G`hf-;P=q3VY-MX9X9Sw**1|aH0k-sJ#cJ{iB-$I0e
zd$5E}q-;z<ef#pxzo>Bj18MooXtOf6#XaGCp?G@dAVLfE#~eOV8v!?3sjGrCA(DzH
z>tOzGuDyY-|JIjC<-Y&|Cv*&H0F9fURLwJSW)aZe^I3ZLf$0YBm+t($Ssl^QH2iac
z>Xz34D1^j?^m$?j&+BVyCqe&0@cffrVjeY52uGgItw6f=?if;>*EBt%oOeN0Xv6J~
zCWM{Dai*m~h>Rc*Vv8VA7Vz4?>Ry#+bdFA1h)paJ05OM-?N=8dNdOr17fT`u<ov$J
zWHdfsF8MY(cT}I_2h+!INBAhfNfU&etQk1)Jm*<U?tGo<3U2bvI{eMJqi@u2^<D{3
z&6j8_IJtf@v4=FUV<R}`s`=s{HAlfo2d4E#wAMP%@9vrW9$8D2aog4M{j6OOFJ$6r
zc&}rGTZndB@eG9$8jQk+>M0+hp#z1~S&4}&c*R1}0**yqtWcT340!EltC=bf81?|O
z!Fo)V?sLk-qb2uCmgcZ5nrF#9W7Adh^88os!@;Kn4^Nsp7IOr93-FUyWq0Y%hHNJ)
zC9o*rd7p#|7XTT?pPsDc>^v!fCoP6;&hLxMQqC8RNgzUUI|`u&S?1bCkM)OqE{9e1
zT1p>sj~KRiweltGYpI^h_!XTs^NaWh>KB%P3`-waOxb^<6YN1UF_p5|b1Xy&M7Ik`
zBypqcSiBxO2XE*AE2%ECS}|)QK<d)#jt1uKG_h$L>xQ;qpPk%Aw%!&&Y6wzaAE`s|
z&9oh)MFA`-T+D9~O!)2VobOdbK}r?TOoxr{6YyKHtK87Vu=Vj)^H>-V4tuV4<#ukF
z@z@lqq?8tkuZzii@lgz@i%*o4mk!px0*YFnGHcIkOIJ!ONv3{0-Lc~6M`6evj{M^T
zA{TSO+L`nEh$UlbD{5(En(7$&3AEN*K+Kr+l_ap&V+f=+Pre1|zv{%A<X6PdVQ$U+
zJ&;denj8ii(fdt-6P>Ys#bP|1$AWN<5-?&9?*2%*#qv;~8oUgSyG>R!l<BgO&}*{W
z>n74l3n4oEMR2o(Cj}QZzFgLF$TqjtNt`z-UmP3+nl%vJdxAfw(Q0u0T$Qt)hU58q
zvFc$V6^o#RLfJZ|$>PPi`*p>LCx<PqvKFt^%lgSXLgrb;v1oMz?7R21Fi$fhM8bJW
zwUMS*d9S1BVwjH0;j^1Oc1s98r?5`w-Sh0ys;7vpdtU!IL6V~Fc#ITEaR#N`Me%}e
z$~3+^_1z&ObR0a4MJ}eB(fJ<K#{19V8dL<a@KI<2Lr=IIF{i%nvX&IBbe8;1;&N%!
zJ(aV+WU2$klyPIz7ZeVLZ@wC-X2L`L^;?=1;}4I$5SEccB&T;Ky^yCUAQ<4kks6Q_
zHM#_^EU5kj&$n_P8Cc92<YursgB;I8!z4{%Kb3#q!-XCDO&07GE0&HFIF06*;#+sU
zak~mExKUM%g?S2LgFq1;?Kq$mmEieMM9?xB`^twuk!adGM^wA@OV(YrZgX=c4op7U
zz7S^o(#vGaxPA)m^K<%!>?qOAV2^fSKtbT45bt`JnRXGUe7PCLJEri+_Id?7=@=y4
zUZ*{T+~uDD=@l0ZmGSKhLop-~n1NIP6ZsDuCZu^^!9(e;e4apPJCK*F@s^B$5JX5v
z(=$D6GiGxB`;r<o{eB~CET;BgB-^%1jnqN&y^u-fzQ2|Kgc%3mQhp&p{XNeiXQ_Vf
z(r|9p{7<U^7O#{i25=c`$E-LxtodcpWg&lOD@Fi{7ELkjpt5f+m$&Q&Q|mW{bgxVY
zx&yx{+j{UK9?owad{c{}-fy<9vYX*Oj69L&_uZRbktqFdGiJB4Ce5CT2O0g<m$}Z7
zaXk3I<{eKg&VR>BY6oFUB6b8jM}GncwY1H?(3jNeg+)P}{tDDZ@Dna@kbLL+)6ydD
z+LEq&_5Kc>HCFHGNm)9J7o9}zvb5YnGLR~9<y$-{*M}YXb+(9+yCwm)iq|+<Y;*dw
z9y*`=>R<U#;)NiJWNQu&DAc^QR?=hc1J-e3QUfH@0^v-H_lg;dZNwa?X_K%aQ^Nu+
z6j(K-e_|SpxeB!0qhkBk1*Q`DnTfmld+U)RJRgYZBP_c}r8Bg8TBbVrIcOlulx%mG
zL5Q9&E7V;r*+FTdZ#?PUQ%?QtNMTyEkg1#<;3+%4ZtoQ7P{OYj*I~ryv;Ys=pY+OI
z`NNh<MhfCb_*0GiMA8Z%fpj6GyLRs!l_<q$k0_*x9Z52)4Y_F`&5$_;Tag)q>-yfh
z<L3P*5X0_MDNu?iVJE;K@z&;9T9w}6bBvCyq2uq)@^*bg$8xG;D+Ig)Vcq0-T`lbg
zNC}_OpHc1Hk1!@uou9J{z1DzIGo6aTRR1KEoQlw83(fvFCOc$cfe<}Kg$q0_<M<*j
z;ObUcx*kyC2%&A$Hb9m{+uG6bOBKyFpf!fB(<=)L8)T7hL9z?zPsn){=N7k56r1#}
z?e@1L>#_K3h^9;z8`+=2m<s6s2{?jthv=A0CD%~a`cqyS!a|?V2LT9bTT+fr)V~|0
z;G?YvSXhadGIVu<ZpL2t&%#;`%jq^vM%{`Z3dio6IML{H5>--t37XNj!{v0G4PL9-
zn4T#&yjRu13NAtYn!@a<#FDZfA^$dsMWW)}7_YSBx5prAifC;tfmeJ%lv5TFA?pJp
z+oPYpU$lX7Vu+C?5#N4FVe8XDbLkn=BT0XYpKAHy?4jstXw4{}^E9$srz1<UIQw7@
zEZsiIQyY&MTf`j6By}wK>r{?wD7o|!E6$njO85*7iJU|P6J7HdUe!uXJ@4J80kGWv
z9@@WvZpVEy)^Iu|%65vt=M`<4`*$<)PGh{sw#Bo#%KFsrn4%q@XqK?l*~%<}3^&WE
zan+jVgIIk0oJxkSRz@ik_PK`oVt6T;vqN(J5Eb876(+GHx9S5qr}V<MqPyyg*G;nN
zPm%f?>#Xt7^q=!1Q~aVnVcWygSkk2zdcdh%NhpNo&VUt(D!XY4-I1G^^!2@S{`Z=V
zJZ0@+S{MGt3kB0d1Op)6l3)*F7&&j(Axbx0lf>Ug{E9Zyr|0K%%(8K7AhBl(X!d|}
zyOtvH?P4;5I}OS#s+#3~p{h9ldDm=UAETwOo7Kb0)frp!W7D3q{Ku+?`soX=o>q1R
za_l3xE%exb>Ln}%3-rT<;IVxb3c9Kd1qi;F<RWs0;b7g??GmlGLl(>MpBlK3U0!ce
zEfnB;uQODvGa<AIdYqHL?GnTy+X}w9kUP6aY<qKl^79mjp@rnxAkA5`_JRr`<JP<H
zS9b}rZ#+{RtOD|5l_$0iMk|bqrRZ10FIa7XOV<EfGb>3ww}8u9n)pIGrwmRvOC$Fw
zAXJ9LUcq}E>miiEoZ4RrSmMUaw7c>0W8$!4RX6PR*)c2bMr(@&@Q>`$i(=R>_Fp2R
zt<`VfQfGDcMtXm4e;xr9sy7T2m-x*UQ*fsW3$t0+i4(3B8VM(NSdE|4r2_a>quSJ5
zf}p^rnAN)RJBYaDQK(^5FF~{8nM}pk+uvv@WcIaHT336#?(eeIEEBote^nP(H|+Oj
zxOk!~h4#8(>X0kx%7%aPo4BbOP|hN=g>STNM=cDav!7iy;f>=h8p!Ya1LS&O{ZE(o
z4Hr6|sNL!jV|CSg)Ph3wfhwwG47T#!*ElU<O{)z0G7j}@FNkl2y<qzI^R_Hr_N1*I
z73#dU#qlm$^v>%Gq?;t-kt|@;R7nfu!B&}ew|jVc^3HOx2%S7Cd_N^L?`Ejq&Hk4C
zZ5Y?C+sVTuOU$M6jj*OivT&K49n0%Pwophhnuj7)Fha&f)N{PUys*sI0p;THhgKnY
zx+7V&k7W+|-00H6k<aA{!>Te96dtgiX_PRF?P;=-v;cZ1mN<kJyv;i>k`Td&MK4ya
zeU?lA(S1V#u^H{im5CTT{;Vw1-($<T?>Ha|91zLOkzNS(I?sLNDanWRtF+Ua#W5~A
zK6O|~@b0Mf@D7cx1DJ2Iz&`;Ba?a&`7T3W6gL}n|+Gqy}<wFR2^U%x#_3Ceyxic50
z1jDnwyPLR;!A-f1j<pmjeDW*W<)gdP83pFnN#6q@h#1Zc8E-IQVCI@qRK=%1T+Ij-
z(KkxhyTT<=SZL$PG|yksE^VD29g_A7#%;sOsqgWR#tr6Ogb0~inQ+ODX}3H~@IU-^
zmy||vV8?>Ol&vv{)`hd8Z$1WV&1kw8z8CqWcD-_5xF$4WS`YOECs|?2aBScBF*eE{
zPynkw@t$LPND49L9c-4x#l>Bp%EhK|{gG@tp8pPxxgE1^P$gl|V2n65jmjKm@6e~r
zwBjn0O6fY|B`ou#{=JIJml~Y<Wxnu=O0k<2Ga#q_eQP~UYYDqtmRAFvV2w~v$BGQ`
zTSW0!IW&?J`f+7(JTXFjrr#J{(Pf~yXqMMCg_uMNf29x%TC!qKw=G?d$qQQ50}^MO
zOf9%tiRnMywt09W#GjRH_Yp@GUY+g4Yq|#DqVM8-IXFIuD($5EP}|ZFob~;WlSwx0
z`UH+oGJx&AAS`d9AyoI(rJKCBZDW$i(VZhpUs+S<2chxcg%|ke&XVHCs&6i@t0rI3
zLPTlc9F2uu*l?!=bm=gSx!63v=Rg~>70HgTgo1fsWb-VH6imy*NF*HxdP%bP;NoHF
zpKQ9{vARFEi88^&$mLD1VfaR{=r~jvTEj21gpiIJ^~=i)*8T2D-aQygnWpGylT-h<
zV^VNLP@_>6SK=&W5J3c%aDSv}vP3(L?Rf}%n%r*<*`3sK;C6;D^1{V(XL;^fIH0vb
zyc)4lLxx^b*Eqg!1z`WE(~Z2=J%jap^YLjrd&jFl_<4SwKlw})U&V!~GM1TxaaxIP
zfqlX1Js+p3?Wz1JXsO@kd%9k=ol)yrZ&cK0oS7C5JLkMi(p^3a#S@*5oRb%t+FT{@
z?sE%?1N#D4BIWcMZOcG%Jd?yQolI{M*F><bbh`3T>ZsJhe0Q}u<Dz%4oq(PylPM<F
zcEnoUy_kS!p}9;_59fnWbt%13%29x}mm8CpZUmo<+*wv#^o=M=m0@67Y~qwpf%>hy
zYTo1aFTy|AUu5P52O_gV_}Q>Pb&1&*8)IAj2KZ<bA*VexX)Q5-a}e?I@n<>e>n&Hi
zQo)rkh&fqHmf)VZ20s)(s*hhPlSq^Ax(+{=k3}UENy$$CcHGwQsLvzawjM-pa=L2b
zE2Cg%Dq!IFvOb#T-L942JHUl=aN(DT%Bd%hCNL~mCoIwTdS>Ej-rMmUE>C!S7DFih
z%1n3{<!PSrE32F%TqXR+l)uAW5;giYdFc!&qcct**Kv{5BSrf$u_A(MH^Y>oEjL*Z
z36iErYUYswyuDvwx(8gMDqYRdO7)j6(zF^68-a;gd!>{g!@4)QjW)4r7#ej7cucrY
zhnKGyOHVaBoI0Eufzt<l!{h(QQO0A_VR(7`8|ka(6K&)U-$+l^+~%J3mNu>z`~IFV
z$O_4OI)9y%Kf85k-O85{ywPw^iv6>q-+$0a${;MPNB%&)`uGj5=uyW_wC(jqro;S7
zETxDc*+HPZ+pAMa4+r(N@ncpy6%j9i$qK_je!ne!TBG?<v{XtioCc>Mq(Qg!fvR++
zlf3gPIA}0pY#{MDB18k}9Ua6$nPVM&I%kKS1|l+UBO)9;4+-b5vR&HA(s3kp(gB5D
z>+(ehFXTzHka9_-<hnds-*48)Z)~}k52nZi83k{G??4O$fn^QM`<iw;)QbHh_dk32
zC2`Vs4b&Pxvk`%Jp|9h397rDHrWEWT&jFACD#+&HLSG9ne_O<yvQoJ+_D3|;k;b}{
z+nVPjx4QiHYbm##DoH2H$i%T^8c<UBd6v3JrdQ{ub)I+O_J}(zB7G(s;XuITrUY~o
z7X*6`L-7K?OXG7F#Rh$YfUrQzdmJcipP&>p5WD-fY&78HtsSTNaC}osd+>)Kv!zU}
zIFO(4b$7Xxo$m(Ta@{%2_r$3QROfH8QZ3BLF)}iiZlcO8c2fG69e$9nSLRm_3MH&)
zj(I$px-DEGDq;UZ^{uoK{4r*MV<IiT50bxhq&IsrQ2eeWo0Nq>a!_&-M~p_QgP4W3
zSDER+kf(okhlX$W)5v+7=LN+jqh><F5XBFPVJlkV8kaMh(gY9rMy_4Rrgkpwa`d3u
zZ9(w9qanMM?R@7O_7j%4gcjysVb+La1`lOTVzT}$0xfx4ALDcqvSxlv3*Ys$@wc?@
zE-VC0Up<khj1H*lNeOnkC9|xcy}P^qR|Wl4+zXC*1YV!0uX$9{M~(Y;?LF!|m`S0N
zc;zC@bK6lBE2YDY!NtHM09W9bM@OZNttW5t@J5et>lB0WW-rln_7NV5F|NNx)Axoh
zX7F_h*k0Y);p>E@_Xh-FhQRAp8Vt_OTW9E=#Z2G|g--%u#S%o6N}=}opHICdb$ukp
zRzr^t7k1_0vQ26Bu^y?$zsE&P3<ZalcaeLhSMC;6`*-C!pGf?EyLr4y|1KP1D*o>W
z_Dl4={CA9^jDHoaP6t}(Zt$={D}RvEqxp_dswnIrQ0#x-x)3ddQVc8>S1p9#(U8N;
zcB;dNH&t)^9LaDz16R3F=CQ|!lvX)B#hQe|hEH$Eik(47FJ|Qu{%Su@8(hHLw5K!s
zcV*%+`Sr2m7(ahIhwR6yMIL$fVhUu3oc9iKxS%z0(EsD<EQ8`~n<yPf@Zjza!QCym
zI|R272<|dC2?GQR?(Xgmg9LYXcL+8}aNFnoc5DCgV~U#U>AU;%b-GP3j2$VUeT;}~
zLGH<w*+Lvmuvvz3rpCm?2Ge<oY4f#Bm-K|0aS{DUK+eo!QTY5=$yx8;aNX#IBX@ax
z|6v7b1tcADcc4tVK|u*I14ic98_-FcTXD7eai$?3Ut%aQ(y7Zm;DWp4!2N4Cc6EW0
z&IfPITH@7RCed8E+wqp{d8g!W2>y_#ET2oI;zkk|9zH_v;_U8j_Gf#|$Z#oRI?cqx
z3U_8B?cYL=mApoRA^4=Ua6n-;43k<WE^aBovzZlzL7(bZ&oA(|bB=DEBrIB$2`h%!
zfAelOf-?BVsSCNFDs1G+l_W6&EF#zG`YDCeeVXM_w8P&Bb1q0edmZ*r?;f9Fq676N
z4fa+=rA!L{uh)O5LPOsBcdNEGc{-i*y)FzT!)bfokrcW6-Fz0=^U3FuP5M1i+unG`
z2v2;-`!8j2^->-d&E$@(bbd5Fru#`>piAKUj2o0?N<f|R)6?G7CmW@&g{3qZ@eNp_
zzDN+&6jT=@#$QQ=s;s5fPoLdaaGda*ls<h%f<_a9<ZF#!&BP`#H~vI_wKT>T@>&Ej
z3CxYMxT=2B$P9bCgL;La<S#z1hBqUiu<MD{7x|fcFBctu^4CaR_(G%&Pi8DErY42_
zWQ<EMUb%6slyR2flg~-|<QrU|Gc467XF6c2p{Zi+s2y76I`=qm{{?DEFBT8_&fk3b
zTpRe-S)!5%yAci__G$aYV-?NS{Aa{}yD!K`qQQJxB9K7<@TG*%BYSmFK)#IGJ3kmr
z^&CW^E~u_HnTc#ezEpTECiDwfcmz$k3c0J2{Y#K^aFxGG)BvuEu;3aps?ZH=jP{2$
z+tjUS8EHa`4l?0K2R>p3E-D9rKn&ZcNW|62VEp9G`RZd+bX)VsL}$FKV}h-A;Q<S_
z{PBT>fq4)6m-MDp)Ye1A_y86qev^0IcmAP!mrI&<9|k(t-E01-u=+@XtktfEF*l$M
zmsw;z=~ueGKoME5C}>Jb%5C0rg1fPA2bol^nJPJZ=<2!8zB-ptnEhHXOlAt>AQTbt
zTT(+^{XwEUd;F2s0y-Bz^5=2Q!Mfr@bZf2G=r>^&nK+kbRs>%>9`vCR#M+n^&(_sX
zrR<HBC8v7Y?M1e8kCqOS&;j)}gLaHe1U$u(Mum|Qn3)a(Px20h>ml<yvU;-5XFvAU
z5V=&BPKUJ+=!j$JVk7@L<1X_%vem;3MyL+Fm%G`8RX7o@!KxnLNy`0x6;^X8?&d`#
zkX$vYN#oaObHbj%?(+@2a4cGb89L$fY?Lp;PCxvIs!N6Z?#1OW5TzXge4FCSI%1QO
zy;Q21Cd97wV&BO-KZr`29(+FD-2vb~Me~3hF;3jXF5LeYebt_1#%QDd0z=Wp_ztx!
zi;|9BcF8a;*(}6DC`Y&Jo4gWKQ?R^nT({i+5~7TXuGj)}GN#aqzcf~JT(fw6VE`pW
z+unp<^jW^^w0bC0a#N;yt{23<5yK{SK|-W6f}3N5%VrxxP?RKHv<q(dT7!8bMxQia
zVt|s_E201@eJ%@Z&J(8sib%zP)S#G)Je>mY;wJd6L%<3Vx~O=m(Q|^j-B0UDh`D9!
z67<9K50ANra?pExA0PQWPUH756P7t0@kz?vo#u*dZHp`c3maV;@OH^5UPxyhx=C)v
z%q@l)x-&X_+;`p^)+w7QAtR8@?)HR>EUF%#3Ju7~<7K1#%Og(h&N0U-?Vr&MVozUp
zSd<(VuZBtfgzJK<aG(Hm?pe<3bETCpp*NY+c^MHD?EJW3dPYPGNw^@3zbI2pxG-kL
zd^Sv>@VPk(w)i$BJmYwC?-YOo{rY)KxY_3Z@(p=sA{lwA(AHOz*E2WV8jgioP8zpP
zP<M~{!LWm!`Ct33np{=Z>9%aD{hF|^e0VI!{9uh=A|xE;J=?_bP{G#u^1<fst~9^t
zT<txkg0QG%H3|IZR;meFOltX7y%&m3R-szTI~gzdw$WDlnwg6deH&lNFT>Zz9+^L{
z)t+P88Zw*9&vWsqs*JBTtVZ!%sNij?1jz)(hrA-Xl-p5+Jdi^7<xbkygOdkfoE_aO
zlrR{u<EB@}7IwbJtLliQU#jFNu!)eX)J_SQMkj{lef#@JJC4Wg7r|<1JuO@3n)<F4
zS+7B9F82)SpKMXyRWtAeLk3{z89&FvkiXGO-Ox~{y=VPLxF|YN8NgY+oBLWgNq5%c
z^yaon?XKex`oUd|x^Gy=0=CCXeG+?J=2viutam%_lY`{#SsOyh-`@#{Rl~XXm@Ihx
z3NZJ1s19E&4%|is2ixFL+0+o`8xOZEiR(6uh2&l6PGX%}G0xcrjxDR&Dc!-P@Gdn&
zC#%dPNQ*nX9#2;R;fx757fswCoCYu-0YB6r<l;)<5+3KO)BHOW?59@0i3oJ<u9QdH
zH%xn|e{(Fc>Q9+cofWPZd7x>3GyhJ0k*iLiF=E8VB8CRn6^zot7NA%~>4NGX#p~-_
zAJ678uqD!?97@h?dv1+?4@>kL-!Xd+ZKWNkRS%1hwiSYaaWdlGjleakde75K%pKyk
zh?I}cV3#cT?RWKwEPf(OesnxJuE{5*=SKd&cFr@cd3}4KaN{Fr-G4>}*N;;y-6N-r
zci`Y7N0W}EJ%@>IMp``VcNBY0NH0*~dm<>SAO9unh#-66Ck$2$L}cx+YCx(ls^INM
zD4E!o2Y3C{Sen^YI7IlZ;CqBjiO!q7|8Dnd?0oI)m41o(ezogg4vA*fcg4YizYAQB
zGL+I)IY$l-4?o`96Esv^I1_I}JGC_GR$5S~ioMh%_!c4(sU)Icrx5(TW3xFvw&cu@
zm@tsaT#Xg06;fYwo9u3<H(zMaMs77^#T0_o#t(;2OkRU4!5p4gKr?sPzi6>p)v8LB
zoWGZ+>#W~Eu;mEW!eGIt;THaMlq9m?(UIoEaZcb46{2A9#1~Ekot}gm(9B78YG-0n
zt7;mAI%66m+;e-D98&dxCk@;pCisXgTa*y5Z+~Z|*k}6Sd5lUo*y)p3`|Aai^Io?x
zpS975d`a_e7tA;NcPSkCXT>NIB^|Z&Ug&~6hVgS<o+eXA2aQJBt<u|vOso=T3i@<(
z>6ML;?Ix>KxfO$5gJ^bK?F*(Yif$pi&q$6SjE%-FCEEbK7V+1c$)rTpgZ;^*`AN$u
z*@hpu?wC(SKICPqu7V2wgYG19HC$NlOir((7_kR<0CUdJYdw)YMc?dzREevihLu`2
z@0YlY1r0R;-Rdd#zezl{<cCgEp>QwtTgT`q6YJ7zrA;m{6e)0QP9@0(sv6=$d-4ug
zMB?4w$mo<qMH`Vp21LSn;Jb7%(3Tm*U>K_gDIu}ZLN+NN@W7V9`b)Cxi=UH=0@m)z
z(QMK4ADf@mU7=s~u$-@qKVip&cO>@>TkSW-f#W*cV0Lq+QQsvyZFm*KBp+pF^wN6k
zrL)(V!rJu4UBHhF_}Cz^)fhRL8HqIk6FJF)#r}@@Sgb$Gc`dHA-Coo*rL=xL9rcoe
zB#TNEY+E{R?Nzg^9Q%GeDc5=S17GNUHNcDXG09jPf!M}u8fkA47kMH%20xw6qHrAw
zgVex$Wt=a;((=NPn1)kr(hdJ>c5jC+!oTBz?gbZKy_0a4d}Z}{7Nrl!e=&Pbik3CC
zv~o+UzYp{jUUuT@VDwt_6C@MvqI8Q7M*4WB7n))?L+XeAnCz|&tDmH!RpzNtD%y<=
z^zp)hs%S(s;)tkKC4obm^;pNQ=e*x!6S#`jb*&i*QK@4`W3kjdJmrI~rt61`vC(kb
zUR~-LTG%N<Li<~eJ2prW{{7=d+*d61eu!b|w=J}8qon6V4v%6-S+bH>`8Xhfwo1~S
zLf=+*o_Vb3FcB5|y-#lD!kSL1Lx?Vlu+#GdFRP@REoaO%M>CT(HlDFdF+>G-E^WL1
zSL(tJwzCBruO|y~6l{k=m4plu+q|`Aw|Jl@umu#?scAGYFh0x*jjVE4>o8H34wh3*
z3<mw)U_o?J^4q7j{##?G`<>7!c$D<|m0<PYs&?NT%5p_KJ;q-#oHY1b)y#0_CV!%i
zmFD`Dt;V9T=<COlQ+z4eKdg7?B^u|%h%I=a5+XPuM`bd-!Mwxw1a=?Xv;L+s%WS2I
z0y8lG1a`!7ZwLme@E<p@iwkNMtHL-c2FWH|_-p$15NnB#CtSe)zVLqU#o>c0-{X@f
zKE5prs$Al+b5Tt-j8`l7oV{>6kT!09cCnu6uPZ>Y==Nd@53W(8;x}Pzp;777^y`wI
z7r6Q2xR%1+3KJ<2SwG9(%n>mT(WKB76KIx4a=d`&3H`9Wzr<R5$;q@B<F<Q3)8Tbh
zTST94^la<AGf5kEbZaO-a~5(+r+xTKxzK1jm&LtYzkz&WX*9)m(R~GXoS;1f3s~Q2
zgQni&1Ial^7M_T3K&YU$QdTfne#0I3?xye#x{~m5`=$wz?FXbK4q8*v_>cZ{TN=MI
zYJ~R?ZFe{S12~+qKsqF74MY+aRIqf`()}BaW4Y;DdL^lDm=XMEe|f6&+pM70-y0@V
zYz*1Tx7^VUz>}5tZP+lDli(`u2k{+XEd{#mzBYueQOXH4`))Hs2&!H7ioV8z&U)_2
zoS@8EdOf@UO*FmLM6flf&QucQEXs&U%;7OKx;M+c`+i5o2+jMZnOw;j8p>GXvTfr@
zBbAKw@%#IMuz?E4f({;zs|H)np}XI4#dN&DCOiKS)?>nU!H;=@8Ba9V7)4Bhxx_lg
zMaC(!EIzYVLN??ylV#`@=8rO8X2u-O_320$-SjugI%PHglmb098Z5*dhQ5q~@J$RA
zjNd{2(=F_W=gln1=48ZTyzKZ%c4f^)DzlH%#qsz0znQP|&uS569T$4RC5;5$ty>qk
zQorJJ3#z$M%kC7UfbJUUMu4xJGru6_T1kzK^&nkBsj~#dNI>_^?g}8d2IrixiI#-}
z=6WefajV)VZd~uVW=m8mVK<WCqahAHs_5H(o+%fdsGL0~hd&|P2wpETpcjL1z7|9%
zLlERh8kL4L&G|;KI7a~*-g&Eha+da#9D!Y(fSjw~NJ!wrmb}CMz4qd(p2pwn74^|y
z!y-cM@~3TCHjsiXwxr~FP!Q@>2>JHScLw8XB({L}>vhG3(EH=QzT>_7D*}C_qz(6%
z7<Va7U2=n$Ej#rdy-06$Hj(z?om6MUT_dO0xL=mzb>4Q;D7tuZ92mxKJ{i9bwvcRY
ze_j9r<03#$Sn(JK09Q$aA#5B=v>%gk#z?uDsuO76swt`--H8Qtp2n@Xw7c91(wzcY
z(Aa7(sXA)9?G0V0-}Zr@X)-B`qWz+WQ}01SpqhGcgD|39GS~LbV=Mm#YPHF?7g*Dk
zegAu@BSEXR+|!vRosV;cBCO#_nAZ}F>21uBvB-`(>xyNQ@^(W}coA}Wq(b3vc6|C&
zE!v4$)iFTtEjf@IMqB8*d49Y1zQ%YxQ`)YoFSp$^v)&cD*)L%nq6TFHZTm@P<NGCv
z?O8AGF|eUZE_K@$OMauIk7E{xO&zx0>RA{H9#1`pmGvxxVh^$ks_&L@*}|tqK?jB*
zaK<&)KTiS)N!>Z($(`IGLA2!FyrmL~OEmkRGs)eq_S{E}PPqv-JHUwzc2IP@B9f7#
zEABaA7dXPw5|yz3LeUatTN$JZK7*&+ezDVgvhu!L9-vsCydDb_BVHd%JfdY!{v4W!
zeogX3aq^I2dd5~hz<cHEopbK4=uvz+Ir4E1wUaT3{d)rjC9Y8{vbyb??0!ef<0<$+
z*z}JE=3{;sZgH$Xr$z-gPp+u!n!#+Lwi2`LG_m<;DSL<KB<;gymg#paQ;Cy{EK4|u
z04kaK(3AZoB2>o?@@f|^P(xe=_S}ybqjYS++@N6Yf5IIiwgfNkWYo2Ow}Y^xesBG8
zon|D{e_#J^0juWU&XFaeJ>9-{#I%vFoXyzDoJgvlkeS=$m|$_F!$9}w^u`4RL>$)3
zPZ1Q2?$s54;SKzN;$LRwg~D7@1{b$mA925)&PP?lHrP+Q1KDc=U&8HrIS=eA9oBq&
zohBo+u{2Ng(RDhBrckdr@38y)(jGEM|6gOT5C{=d0{NkNN&dQk-4lW75$eO*5KqVQ
z0p%h>Q+rwfwb9!W-dKXO9*Z-nGSI4n4$=o3=>X-$&t&)&&7vBe@awTC%LyMX;X(t5
z#1^DCS$;Oh<q<7})kX}BqB_X&jK_b|FuO52X_x9@LULBJ6s&%}JsQ5fjfx?P=sX?{
zc5txb`N*H*m<75j5}V_0N$sPus5cjqY}$jbu#5N9TF=c2pp5iF5bJ<v>y{DY`t7;I
z<!rca>ZfK|G#I!5wwZ*v7;Mpq)BA=W9I9>)!rWph%U^JevO-jPPOcINtX--k;4#Pp
z(}H=-1&6rdeGhbvo-8dL)f`uLZd-W%%Kc@)l`keY0!0zE86>7UXdF#>p1pT4O$|Xi
zOQIo8S-63D+tSi{)#_#lT%-uZ+F+-E9L1Ayp4EZxSQH(T#U`p>EGR!FM^2LeY$bqJ
z`AVQ9C8F2tKbjQXs9png+`<LgA_rQQ4_|HrYICFq&Yf0415SJv*OYPXMVb^y8(zf5
ztyP)v!MHk5z?$YFm1#Eu{2Fp4X!dol<OcOPsom?v7+)v;XE-B2(Yz@JP}D8l!SNsf
z>t{^1t#)s)w{NPW_`V@JT8VEsVr_UW77X)P4={|=9pVV1_<#<1i|rhSoI+~$qx3S(
zD<EClZNmFsOD`nkuL^hem<XU*Y|8Lrj-~HzoJPD)WGWQOUGdIfu#G==P%49hrUr=H
zz;}Rg#m5d}&SW0Sw_wIWIQod&<7KwLg#3-OixYL!g!|bz5ypRGhK6R2W%4g8G@X>h
zWWfjd>XEfjfWQtSE(h8^55wHZ7a#v41(GK<b|6&P#{+=4Vwi`<kLW9b7cO3-#s%Ei
zLlIEMfRT2eB8pf2R0@T(A`^`^kVjXb2}Dg@-HQcHgS~6tFO-<dhLRb_4#GThMs_lM
zhO=2V@hh%SR$-QkwzMWtHp3yIn3i{M0B9{rh9YH{`mJkcJ}$juZp%X~J+hpCF$}J7
z-n-mdd)Gkrgwirq376-#4F3L1R*^!tDqQ#j9Z#ge^UZ`)J=2F*;|s1@=3xES_z_-M
zI$3Rpg3X9{hw_{@+P#kCez4(NjON!r_g_r7mfY$Yu_5d;bDzA*ayY6LXM?K5oeC&L
zJ477Z<jgnLLb)y7=yJGXGQb6|q+xy`*Vlo+)3P+Sk?14h6>Yv2yPPdg6T+TFN8duf
zj?%>)oV01-P|NzUXm^Y8<0gvXIw5cIAo2^q_13&GP(tKL%J*a8x*KJ`aB@s!kNXa_
ztLU=pzY43WL6PqRC?`{$%<5n^<78y+=NA@VX8jtg$wZED-qgL&-P7ecHb0U4jYRGG
zneL8$KKK1a&plhI_**R-&O=m>x<G3<;LeH;Ie0`p*^N0K0}IR^V-*|0II0IpiK~Eu
zV6XhYGi-Dzy;4J982bVKI%XO4hJE!29M;Y`fQCYN?>>4@3mg^<qn;ZvdEBHe8)%f^
z2bq2}=Cc$U%r0t7G-kwxUG2{u#~<z9@M)C-<$h#f$mM93e6!oIruZ?rNd@_X=Ebo6
zg10TAM-1&N%QA^duK&lWsz;WtKYgNe@z^NIuN%~Qwsb62-b7zt|MB=5@5e+k&6@p?
zgPKPqYss`_iyD-l67t7%7gen1DU;VY8)IV;#l{3{!yKN+9384S<~98k=A(75>Axlt
z{PBDz^s$oKX%x)jW4;9^82LVXI_pgb!?Tf_LnBVGwW4RKAKOeJ(?Ls%lIfQl_3)Sh
zg2&-`-sSqeZSVC!?5$xiGtuJkK31ahK;71tn~wW7J2|7I?m3~1whS3NI1b%QR6Ps7
zc_aPckt<6x*YHzv(`7R97_<ESS4=nC@4|_8xg2(R4bH0<O$~KYpx8dycqvVMgS@-J
z==Z-vM0M};sYv}wHo}Ul0<2`jkE~y2pW{ojz(p0hgzR;nT94Yav;^iVnmRX@gj|r9
z*Y7{N1#nFM&}!UOSZTee2nr0~E_;W3=W%MAJ+^3JT|$@<Aas5`@Iwfx*%RNTZB(6U
zuJG*RJwkEbRWYmz3<Mq~;UWZKTLcy-aNEBLVqwkvMoB?R&I0WIj6(CJDDfmaLk)lM
z&l;3k8WHqO9Y^GsVM-R2{6c^FmT$cuWPQHgH`@B=i-pgh`jPt(62k!<spE7hIXImH
zHR@BDo0pcyHKE33)6>M-xS~I6ieaC=P>r1>@&0Z?BQhq~m}dT^SsB<|@}C~auw4jV
zL<i${P03?y1cU-w8$5dnp@Ao=<zmIKGB;|2C-y=<oGvtDTWYD?Tb`QGCNj3zh#A+A
z0ax76m2mE`LyhX)gh8CIQ5F?(iB4t7e;@cCUC`C@c_W|4OJ@-DFh=pRvbPkT<z$R#
zW=uL;6;;mBEbSRO)_e8ifEYIw7=XO$$N5&#FqA3j&X~N7Jg1fS0x&i$q>~C#@XWf>
zi-Ba*6!~iCbf_fm`;fkXk4FKqN<U26ri|cw81qGU>~fdl;0e5a?)upx_fGIHQ}zM7
zlQRbIUJ*Ds{CLUb#dBEapTTZV_%f`)m$*auBl<S!ujF;uD#u?%DwmGhhLndX((Osv
zg>hoe4PIiLx3;YeswD6v>k<mBr+2hMHokg(mhk&;9wnEG(QAlkKqp}@QK6JD^F@P4
z>&`9D=c`^6Ys8w56743&6<Q8;Q&jAD@AkrK<8qiXT;J}){$iiBq~^obz4=bG$ogr(
z$RDbzS4cN*%2V8WJNwiiyg~blprL?n^lNSoJoj3Wr6{Wx=MBz_nLRXQ%u5b8!{t0M
zh&VH2(K)!!IdrDk9W<S)+NNEQ$O<i&s<aJl8f=yQ*>`pd{aG4CcJW?9dfx!f_xUY_
zVhh|*OZ)+R2i8b?kLvm+z156L_46I#eZ7~NE1tU}PMgES=lq&N3I)c<nD8oj;pUS3
zR|7A`<2-uq1K9{^!vfbxn&1nQxhO!4OP3|<N+ag(BtE3maKZIyZ6LV~i2CcjEk-fp
zSLb-n5^EP<ZCuIhf|A~z6xhtDb#7{-|GtVM6awRTm|Oa`N@6EIZWr_y+H!C~4cR81
zv)j67Ug1nZf`&;LzX7u?@ouuAldS!+6C%Uevt3o}^efgR+Dta(PD82|eMYHfLpQEA
zWosrc;oH6=nN`&~;p9+Hz8phng{zH2{He#lk!9Ik+}BQc{F#PqYsZV^olHY=bl@Z7
zZ6GG-Hm~ZjTNa(&CG8cnl}83{B813)tNSmP=F`D=A6RIW%T&%dJziODdCJYL2w5(s
zS*lhQ@fucW8y)m|i`z(u(CiqD&s+1++)a_HJ!6u0A=SS%!#&0SN`K)}TiF%gV7pHJ
zagldJx1XcDTyiF$iSgzt4kQqKG9R|8$<gf<^6LwIS$LLSwXsFPwSsd&&6s;l2Vr*7
z(y1uh0kgclCBYiWEk;_1mewF1pPkFM=MTtRI|V#F_S>Ea{@P5Bgbq*^7kBI03PU6P
zd;4?F#8$%!q*!*&U4xe#vl_2GXMY_5B;Vb3x9J`L#Aq3)Xh&WC_KBfQIO-$bwo98+
zdU=cpiG6@INs7zo-=8)F=td!Ftsg`Xo=g0@5WjIiW;ZKGC9*L|X)Q(4pT|hQA0Pc|
zUGi>;SQ|!fz{eNcuff;9_DAn&FhZaiBvxAEy>naCRsCx25h={_C5?;)d%bL;gvcf(
zpq!pwECbB%pBg@58=Hik8ES1`Sb}<*?t5U~6EW#K=N}i0W<-DNfa{@fDNOje?X*RZ
zYw7=o?8RFOP9T=C0?1DlLo{6;<KJ<pSIOR}sG^0Yhc&KyZ{;0soLtyDjm&<A*f^~Q
zC%DNO2&-a*<B*~q<L4KTwQ~Hgg;H`k@#IX{`!_?!viczhS;QMr?Vx~9G|hWc)p21{
zwQ&)C=jt;|)ctVxwx+yu_)odWIj|df@X^2&n{fNa{5@HT2E?Bl!j%1UZGcz-%r_(g
zDNef(M5Rlf-b&-`$@;S))XX7dqltUBFpyN7#iaN_$1&{Px<sonhv{a7g?zIObg|QV
znqP~VC~NN{1Wc4q`qOVIY>^#<u!MEZVT@=K&_aIl8V7vYy+PlmCEJh$drFrZ%*P!a
zTw1&^&Hi$$x%AdPe%PULy1|nyQIQXL$*~|v_iAjjAiaEp#UB_Q!DVUFHv3Q^`q9Jh
zXj`N+YEh_%_#>||Gz0QS9wb7rSkWU5I+?)flO5$kT%vu(uRNTexe2*I)BOW$$g}pS
z>EF{Dw<i~NWH~OfrrPB6pOmDb{-E%Ix(x(QR;F(<Q)C#XZE`BXELwZ(7+NB}ycd(C
zx)u0#@VQH~-N$l>e~No8ZWfi*$h0vI2kkU(A9!xSj}U`-bpAPFxPA}mzAB%5K`sMI
zYcgv;YXZ&=Vrn0m<c^H>nO10RqYK+OEq!Qsj^1j$(4AeFJNj3PytF@b|6q(NE|<rD
z8@6`Yv=m+4Zuy`w2=R3*F!J<Dwoq|B2pYB!RM}4E@^;1k(~%wCW`=_>VOuoeb!B;V
zzNYfaRyY*-JNz2w&Ow%ly~bWYa358_Udq)5rNh5v@94Y#V+7E&{Lxt#pFNWSxT$wA
zWi?ve2yfByFrT(j-}jt+Pq-M5ed8JPXk|Z~S9N6~kCFn2woQNb$}U;-RC*mZzu6Ad
zYH~|=;2yU{UX>8*I@3?0PK&(qnYqoqzn<#!U6=~x7*r%IiqWwJ(h-z#uyppfL*&1k
zPzjC4y5`$GPHAuu70PR7rCOOO=tO^+8fIAcj#Kw9vY}PkDOlaS_3Hjt{sH<PfCz!X
zi`l#zYOMVyz?OF3Aw?vp+0Y3k<g*dqk72BPp~G)utz5S8nQin)QOo#!NEj=I8NQ`T
zZn;WMg<8LooGXpRn<PZ}`M~m32v-vV(^ZkK#PwiO>fD$2hwelN8_MI3O4M-S7g-@W
z2eaa!LAeg2pBC~pT>1{vqPW70!Ui~=Mf}@~GX>Yd&Z(qvct+^8mt{I`8NbSPIygm}
z1b>k2w|mZu%Yd{KE*`Ui%=X(G#L`Q!TQ((miH<UfLu2VNY_j8P`O^~#Ktr0;8{Yh{
zFI;ES>s~_uW~LUPSQXgIWo0a{v3eAf-uu5uNaK=y%{1gSUe=RvPyK<TF`k5iY}sSy
z#qR04xU<s8?4TU2YwU5{=86+1R?byD99+w(o}dL%rUDSJ0R>IyoF)C-;ab@k7?Z5_
z7uSVM^82Ni`YU7c<^m&xU^o2rdO+8Ah!gYjS@V%(YwmCi!iS5fP4wY9kLk<#NFKns
z>{HAdI%c`uiFuB)BT!W8OXokppDNV%`hmob!w`joYh{g#v~8l`z>pK2Qa{PR{lNb^
zJ*mHPIZA{$>n%{0$a8A4Z^B>ipKAEA?v8$7NGzV)&hVp+-)iUf^=1#x(<3deH}0HO
zJcTly9l4`C5}URz<5tkyp!hqW4ush@dK<-w1Sj)&Rd(OzG@>8uM-R+TUKjL0M`Wqn
zj9yK3AGi?^@8gFrRNid-OQh!?aymZVyj9Bu>(DSHkAQV7_~-R9d^@PlJnTITCCLJ^
zzBfo=(Beyvbf2ZKve=VZOXFkSj_VbbPmXck%mtVU^*Z6cyGT~*F!y#ig7Ac@B_`GA
zbg#~DVFEobUi3xhOSJ~%2a-(@`0k!ly+={;5*|=3W&jpz$f(|S;V6rvMZTL8!=S;^
z>eWKs<R+0br!6`B&*Z2AC|602xnum;<0Z}C-<)XHxM9*dev}`YLH+b$>*=?bblm)@
zYR?lc@qaXGPQ`%F&q9zN_8cUSUT-{Yo@4xxpZD5kFp0;?%+CGmkg(y52{9$^vwjAs
z>C-kaqXRJ4`Dz0h{JB6w9UeJT7~=&OyJX2WKoI{}2nqsUko|x-Ejq^VVSw*86)s^n
z{H(Rn^<@27e?2jX<$4!nx<aw$PI$KceqUY&;v&D|-7IDgM?ZB4GU+pqoWwaLe=JC#
zClv;&^sp8tH9qtkEYmgsl3LRP8$?nJTZv6dS<2!g?xGb+EGCwJ>N0XiA7qFRZ)2EF
zIol{3Q?eWC(0-wiiNm7AjqP*)H^rl;-@uG367Ii3YHrkfkSl%n@x%xYg~mf%pYSnk
zHcOtH+lv^)KFFn$oj*ybpSv0yTE?6{%QwO`Wv0GjT>t(Hii5FXJ=4D}_ZnN*#X9$H
zKa{MXNR>)^57AzLFzA#ZGC(uMw`3lY7BHGI>&-#I&l;F)#Ks%25XIgdhOg{ZbhnGe
z#%ioBu^7@G$`EA<iI~(~z;!pxHX)8qEXw0rgTn<mD+pu>OCoE}-i9(h<6OiBK;hs1
z*A={dfDuXNxV>7a_}U9)Y|pZ*e|GkF@Ov&aE74w0oTqIyj>V(IHH@dpUq!T@u_(Q$
zlfp2_LgNsPdcgde0;|AEqQ-_&g;T%~@Wpb^b6Akah;cL>?vCc#w*MvI_6q#>HvWyl
zffK9J5=$5vH2c4?+G^#?-7-i$h;Rc)ficMq^Wt{9z_j(r9Y}(XF)N_f9Loq-<aJsC
z94@_HVW9QpJ$N@NQN`(T<DjJ4nQ5o(u~F6$P|J+e?NAyc+414Ym_d>Cyz+}a03lwW
zMLCRlt<TcrrJ~r#`1I!SZfpVZj{cvd9sSujqhk!r_}1QxpO-RtGM_oj5{w_dGl@r=
z#Ud|k5*M?odFgfxC)`$`URm<vkkxu%!7a_Ap<>&0Bj+ciIQ+lR0|>%Eh$t<Dpi4sP
zTCu!MFaN$2Kni|>zh77X#yP$ry1F%xmFu|<wAP)|M+P?^ivuU@K#-?j!Q;{h#HA&^
z#cYOo9`MYs^;>K86t(FB{}jtS>}B;#EC8se;zP_ikHF_uxr|<qaylm9@{<ZnX(7|E
zxT2W3eL2Fo3rlV9PKjsTRSp|JYY)|Jjbey8kuZOKYrWh;J)8&NQN1P7n~cVF_pyZ5
z-?ZLVtUgiB^0S{Ub*2)?xwaK_$xH1V@{lmOk@K>Bct#CPP3d!_vnE-iT9a?A5x910
zK+UWLpjmgq1aPO`OOAC*f33xbl}1O4CYtT-(->-3tT@C!?;ritNp%WHzZjVGCZrrA
zoco2Mufn+9UZEK0z~8oU^Rx-u!y;#{PCtyH7PotOO=xME<p)MT`|#bX{%_2C1B`jI
z4}(z2O;66%#n^J2-`cRxS@lc@uEo;7h!Q1>5}cBw{#LynXnv&J?UqzteEB^Cw2+t@
znA;GYey3CnO1y!g*`4G1-E^1y5wOxUo&chKSQRP2r}cO6WTvsc#95xPwUAM6OJq4L
z!DJ#4Mk0ewfY6J%TYV(!IgurH%=wx2g5(vH{@-j3V4gLGd^C8C`T7`$jo@Q^2IM|M
zSbNt7n14V{71$5cGBkr+C6|#O_OW_A;;RGW@t+|DQcyT&313Z*_NwpR?y&fK`!ngq
zk>?Db?%O$dx;Ti1!F<e=j!W3apSmJu(_>Q-4ialGEgC)^7*<JDI}l==Y4)0WsKOn~
zWi!b?w$l7f?zwLXfzTC7)C>M-q7=qA@SZo>S)Zc)4-|Wm2br*yyq5rlu`Fta;-^&G
zObKh;L(Yryz+yIa(G**|A9(HzI5rx8qosuGrbYOVL_gK@q8OdHTjM&Y+D}PJGnST=
z_)=ZfuL!=I8>;`a0tiwanv;y7L^B4+h_(GKc;74JgZV~gcTULHO2>c4Vx*+wF~Bra
zBbl{p`>_=(u2gA$vahZ*;Ib<<Y@y}4SQj2;X*z;+pb)diLOpv$S7l{WOY^$^7DK-k
zdKuc#aoC*=%lbBbwYB#7tEO><61WQL#9u?7^&8C~Gcx7T!49@{y%h?we>dx(B=C_7
zc-`|YsN@4GSDwRDq%wRk<bKQIn=QbM$uBk9L0wERZWDXGhO~AI^8|~g9(b+Eqhcj_
z`SA^**!Jf_h}->=`*?0X?FXX7)HT2A)9l}Q{T&j}PGQ{Yecgz9*6bk`1@ql6{lUyX
zKmL9_LVtZFOIPc)-%E+7Bm*^@JUV}Bokt%4%0Wf)kH1xA8aTX@c4r}^e|Je>2H9cX
zhOIzCw=+v`YU^3^w4Lgy{>oGkMmS<N=3j7_J9}bfoaYPsYgOX|_&8J8y)fcEpISfZ
zQ^`59lo8l@^G@5Zr7Q)4$Prw{olRZIru=m<7`7^HFFvIpIo5mznxNj~i${(UuPm$$
zHF}6>9q^j*bf%jrwL2IxF7}(6478zmqSAQ)TrG7IQE1t%GD__~fR8d{Ri;Yx%9X0t
z1&POzP^-qGbC;6}2DvVrrdiy!3ZQ@&tuMH?Uli21fB=#LsS1|pMXk4k&yJJK^y&qR
zj226EcuaSV7GjIv6&lUtwf9CGA1|_W>8w9B@?RRN?*#Ys+3qCNZM6BH{BnWgXIruS
z$Y!PM$qw8oDjy)e1t)*sl~&!GNx>#dd`=)werm9ps@Rj|b_IKOAEO>hPagB3=Nr9z
zNq_13$*)m#J-<frFNSc>tdK!TORE!?FEHBS?7S57Bt5jZ5^lXtSDsU;CUmKxfk0lr
zK#71Fmu~K`Z_y$j?sHq6+Z6_d5lK%*kgat`nqOy&1%;68(+5TBYl*Gi^(AU)MUlh+
zbnW|fS_cJ`WQs=<Xp*9(s}G|z=NK!E)X$>aoTWE|rM22>KW^!fxM@n#tiP^j%MaPV
zRjdS%F6q&k?IwT;o%8(Nw6(8t5+0K>F86^j8C2$k&ohMq;S>iBez)zmGIEm0XXBF4
zYM&AD9&bQB^Q+#X=wxqX+SOQTzk2rhvdV;w%W+=T{QF>%%m-wnWLHm2&jw*l2f$0C
z3PXN-=dhRkU&E{Vo3z5*@X6%D^GxwQ^gGuN$Q~=l#fsPjW$wPVG2SP$!J21(v}!QN
z+dg_ys=MFjUVU0}be#|_5NAvp?>ZN0Bnn33Xx#25S1Rs9AnDq7)O`{T;np-+3gJ~!
zE<WE-saf(DbWp0SIql;Z<!~+*ctALNV7^ZjP(H-!n*t<gduF~+F_>?P7x-@&wngx^
z8wI~RU#=1E)Y6KNwCJBV3`b=)rPssb*GI-Dg;6FmE9DgnlljEWeEDe)`Kf5p6Y(_{
z;U)?8Vcgg7_S==f3c454(qu^2B`Yli023a<#+Ag4HL{bB)KcmPB<+$1h3I^^+6xZD
zcPEoRyIlw8-H!o_c8&#pK<0W+40=w2G$5U{5MwwVbX~$oAuF;6TCrDvxi6b;5>HRt
z?aGK+JkfxBxXR1S81A?RbU#}Q`6CU7wOsh3AcV27fN(ScjZDVY*L5*C{xCz~uScy%
z2maJgM=rp`eSlhdX+OL-#=fN}5zgW6?2%TxxJYr$z_0z7jHVz=8oVU)E8g59uiafw
zE<o$uSd>)HduB`x^#*1h8AhB&JTVe`LUz$?AHLe!-c;Ah^Y_OOkF56Qcb^DT$_PqY
zjp7q;TL=&=gx*zmH_O|QYks{)_4>FaJac?I$LVq5($$JRUsW6RD|<2LnncKhl0a=m
zC)dzdk^=v^^VZDq6bH5}22<=X13QcVhvufU?9X)VpX4H1uTP4*j7nUqCR>LeW3Dz0
z;an{h*T&*_7nDZ?C3##C1Y(C;`&I^0*RR^SA<g!*AMjXYlZ$f?JYD3Y_)Luv`EDZm
zRL(74F5eTg)}K(Y0eZHRQQC^|6+wU!ljDlg5iO0Hx}WC%4azqu+<WI&O-ay;62?z5
zJc6)covwnv>HfyoZPH5`IFtib#-)gx0L-?t*D{a+h)qDvN<~ZMLJMp0^_v>cL3G(i
zc}EKXf?mrtd>aL~{fw!TV6^%yf+K9}mYqr({>4Gk3k@N_=93Oq@LTA_+vZ!c<%gNj
z5>I|P;w6e{be^8I+hPQ$!?XP^_C_GEg4h6AE*z+=C<*5vJmk+YcWzk5D$h2pCi8P$
z3e5#cH;a9M7Q?1I0EC&<bs^_=aNM_oRh~Or6Oozfzm%}v<~C>uJd=WiMZ$Mz3j`VU
zGJHWPF#S6atECzI(g~n^dnCO2UHuyYSOey>$50uO386^>@*%I4ml21Wr!=Fm4oN^2
zqG1OgBd6_#FqyFyHWyoN$JlL!mhQ^F^BGo!4y$#-DC1c;9SsHaG8IbMb20^~eL}kO
z)(gj{XCX(pssroXz^=o^p-6)!aRxFO<W9LDd&S(>nUFzB$Wibs8}vN&=ly7*y!zFg
z^&n!`gi3d{UP;L_^-uJ*j8^x_--iNA%enCH5Ogb`i8Q!Sp&`ox4ct=2(Qg!7=A;n?
zj9(r;OIq4;v^ZNZ6dd7-H#e7)b%P&{5#B)vTv;{M`G66C6+;=B6`;lyH8ZWV^GXOu
z7RXfvsj`-IR`ntx4J6Ajvq9%XKO=ZKk8Z8eQ>%Pwn$8E`34!0}T6QMxr}UPu#>Xn&
zf9+|sJ6?51Hq%r|&_Z;@-Lq~kn<4)#tnW72!X8as%pn{b37t+@QNtdF*}5Z4VY}>(
zzf@5euPYAEOn9TKx8Th^Vj+9#r+@d*=<@f{L3Iw2`0)ZO5GBcX=2;?sD3j|xm-HZP
zPdd|Q?7^#GgtvLDTI)B_@yX1bY#T4%iHK+I$FwnnZt~kf^l8yQ;~sUZziZD=>KdL^
z7&hwr_fv(WCIiaYwYo!J0^I&@dJRe<BJq4C7Yg7&3{>~#g<UDAD+P>RGp~;=k9Hru
zf^|lvV&mqR0R9NNPk8Cxdh|2cFgK@@BsEvTx3jd8Hc?VJ$n|}Qr?-P8erpZYn-#yw
zkU~*^9AUjfl_hHR?~iv~lhF&?5nuKZSKxW&_Ka+Oy%E_yr697+iiQep@5AEt09Mh`
zsARymhh-d(t&vH;Ft|F9O~boy#3&EZWo-Em%S!W=&+yIV#^iTQeOJkLUP;D|7T1A!
zi`?(UF_yXc&WEjZKEi{)i^F;?CB<Fh2KcBA>i_sY43_?<7jW{PKz))i=?_SmcBX?D
z#H`^(#eAc>KdcJ}=wK9nVW8BvjUp&Ja+iB6x%@z3O6F!fJ)37PN2;P-!xKR+S-iB*
z26}R1av#tOur+KM)J1&t`1|5(U<9Fqy2%+^FjBzW0m+|sU(!L~u&NgDwtLcvp}nW0
zG|$*ZWp6t&rJlFOinoNk$DT0L5bQ;(fM_jAR&h@-AM{B6J7NIzH0;siiP|cX;Jq*I
z@N*4uh<OESs~iexSM9<)09KtV8alNhM`+m@^CJn51#i8oP3N|v&HOaX-|O4HBlZu{
zEWy_HCi|r0ItR^zmk-Y^a9vZ*uII~Bu{7^xkJ6P(I`EmW8Qj*1$B2koW988gn)}Hl
z`M1O9r^CLJ+ClXNn7HHo<!SwlBVG-2TGEAqPK35t@o|QIZ!MT=F8z(!cj*uOn9<G#
zZ2(_x!mD!s$ix8A5@HnXCEPcu<c5s5o`AO}R@*bZJ?7gC*QD#~xTNKq=;AbiR8TMN
zysOUvd@A4VDS!gTd+hJU5n1~>yY=Ksd}q+lA7q-|ckPr2pP2W^gl#6kdv-&pXG)nj
zy>tK*E+#fPYlZ<{!KqF0gIz3_gcQ}6=*-)e|5XRqViQ9F_t+a<_JBx)$HRYcFIE$B
zmvZ4BqTg{F9a4xMvL7vjz`BdFoW4p|Z|l(~I8$-@$zT6cc3*^Km$`)sS4K`6V~ZK{
z#n>I)XlSjX6`|k4)WL?Rlsbs@o5L3|KobybKrVdPf84Y@S|?=>m^D!$r6-lsP!2I%
z-y+oGJr78F!uBN3ESJZP9JlM1MuPGMuSkk+`vF5GJ__;2S1>Ry1oX;`7``P$wyIho
zRBdlQI>7FyP+r#3{3v1l9L%|0$T_`_wGHUmW4?bTeLA@XY6aS*7exR|sGKLfx#4xY
zHEXZe0^Eu7Pi~wy5kMTz`!A?XDImwVnegq-lrvuanwC1vd5g?Zf0G7*wXferO7DSU
z6zFm4gNF}Mu;R$^L}on7by5Voz{fVpzqgDc9lEH81%wfym_sLGJtvJ(i?ZP4t#$EH
zr?0Ntst?XyBJ+mK*U1tm0A(|tM%M5K*i^bB4Z{MV8`2`iHoJv_v@TvLu!FAnEmCR&
zCLs=Yq!UI?M0q?%2t71YWXyz{$JxrFl>`;4HX~t)VeeLU>RL_v6T^0n&*^#hUPI{H
z-XF#l4#;W5d@Zbrsf=kl!C@RN?;mG4e__vU%+fojnVt)o&8h@@28u-S{S&{z<*+9z
z4MOUaI02ZO-J^T}8i*sV+kO&xrz?-hhCi-wlepU&RoSk#NI=ed*h%l|cvIi%xl>xg
zfDn0n^-tG&;OzL{0Urwxe-lP@9U0EAJHAG&Ug(qGa=?85_AdXP?h@i4L?|grA9S30
z+tr-2)e#apvXxU4_S>P13FGrLRf#<9B>jlddx<MjT+f|yr{;+ko`5C*x(zb!RR*h<
zjqR}Ge(ChSHRe69e#nGmffiL<Dj@feQL6^+4I{U7P=?6!Bi(pSUqwEVT7Z_8W%3A8
z-e3vxn;hOiPoGzuCNLu%ib)v%RZVrh4^Rk8ewftK60ZnEzbALy6FWtMTK{JkA)|%J
zF8Fe?`K2_Q$L?EzaN~DhNc8J3%p7jd?qi&Dyh{Yi6|opFjaaay<z}iB{%rVY(}iQu
z5AyA;RgQ)a5Ki>%jefwB5B@oDdWGKz*e_jA^f^N_lqIjexj8KgJ$nTGqeW|^d3yVM
zR)`FGPfU{sUPKupb^_=|x|KIT?mY9rz}mn@w0T9|<^dybi|q4mm}40m7J82CWyz$u
zs_d-({o8nnr+t`t{DiOY0bfCL3lH1)^bqbKqK%{uAJwLvsNItuwF>E<VceLVZ|Fwi
zk15>-PB-9=ApJJ#x&{RJ%>X(Ptk=Bm$EE&nNlc>=Q62gv^X&zsMrz6EqR*9_*Ua}`
ze`b6-80&X#@-fqqMauNm^H(LwjDJQaYl#~GugHcurg3@bHkxj%%zxTuD|@cP9tV>4
zE$+5-`+p4<+`~!I+h{v6W$2Ibe+yLjnIwwt;qFToGN#yp^gBe<Ror!`Z5PvQr7P~4
z%gDpoiG)f6b=+{4HKQ{D@x_3a-amiPCr1&UnlMYt`=FajQCXPdn^Wa^OsK-uYj<KA
zo4M&goy6zBC=@Ep>xt(aHr&s)$xeECUt|aw(-l_wCcQ}~_}YAOE<GxB?RewBD}@$1
z=pEnVUDlWBGT|rWEQ8&<3v4kIm;<9RJmU5Zaedum@G^=6Ofjr}$@fe~5UWn=V(yjn
zc$X?QY`$%9va1TDnMNyhJu=j7J@kctFN~(5JF*J#bR^8ezPPB|yrSKvrZh(}sXT_3
z=b(Q?$}mmjvq2bpD+76@s@2%<@_?ANj0ilebeFg^m-B`7XlBLmxCl8i{{kr-Cgnkk
z52;{zOPn;~h$Q6c9v-g|C@w?S@XTw;2*{pbYXgf=U=NE7!Y^fr$Q8RT5+pe)9dS-L
znVW+PD(z8$A-@ni7zzMk8x!aQ9n@URALqe0v2>DbQ(^K=o;-tzj?v`zzMXVA9Z>X2
z6JIgDrV90=wr?*tVeZRE(Wl{BAmG{8W^VaH2RzbmB@p~g;KVc?Q=5`pRis>;t5oX|
zz`H!F$R~gK!J6|$G&X~(i0b`c8JA$O6kGDi{@Cv>rroOzTUy=3OIw)1kj+9UlFjQV
zPLi_QXGF&-Nn=MuwufRwX=3Ol(tq|;3@l?n!q)*Wo@Q~j(xF#>%i?SnSQU9V^>6;?
z>x>lwG;{sK$>DLVyZf#L_eD)fZmPGrQSx+L$xBLjN{+?85}+<vFKabdxh2rx0wfed
zw#jPNsYv9j)2lUYM5@VwW|GqpHG*cQIK7<r;g<ueN*gntg?n-rd&dH(E^U6qA~CJ>
zLI|$`d{+>Z)|-BDWe*ABwWx=uN(f;6b&}~LV0weIaiguqweo%YIt1{yc4==$B>cL<
z)d0RpBTh9Rig{}cLXE9OufF}fluKXE0#jc;QSP_AuQj6iJYrv{K2%ppy=yFqq50Xe
zQqk9Tda?zF-7gnxr3}_`!(|zreXW4#Ea)s(on+{K$tUYfC!Gv6iy{^J?qu$&EYDe=
z$)Y{{6>dT8R8XHfJtDg3QT0*}3;Pn;<npV&BFtl*O=z0@w#rA=vwt9eO&Z;3W`0ln
zP5-*iG{P|}rtnYrM#+UQbmJ}Be$_4|e`-Wk(0K66N6CDz+{z;+7?80!+}+phvVYjm
zl9Vt|ONiCpJ$X3ndAy#rY;dgbJyb}Rmk`;FoFp80CUVWcd@k8nlDC>rv>A~vo5bQi
zpy9RLECI`N+SQ44FN>AWlDjEhx9zvCYXDxd;;MGV@}nttkE0cJ1Cgc*3FULJB;1cN
zG}<;>?{ezHje)AfH__n-NTa!HkC5S*X2M#fSD=T(a$0}(P>3sW3hxKM5_1w-RlyN=
z5{Iyjtn|gt>cni?DGXcrFM}kv=&n6JSRf$zsP%jp0Epk3$vY(r<0sjv9fW*RAuqzY
zr>t#A1aw<{iJ)4_b}XGMziC=_<aY(y->C4hh_5*v$+Rtz)%<_;^=1I8nWs&?W5Rcg
zl~LrXTu%LPM)-92!|Zgv;^}O*zjFM`#~+U#f3?5v=wm5>B=c%fTL8x_WzW-X7ezHW
z5}UUG@Yk4&$H@VdR4jm4vQXpN9C%s>-`R?fOTjPFXzDET1Ua+d%u81n8f%0h5dUZ9
z#;4C_Q--LeA(k}rr-FRg@MvGu<6qR~1v&+PtDk<Dd4_NCM4eck{R}FNy4wR5H0zCO
zZ_#EXS4>w}hc)Xo1C(C54o{m!6taW+WRZ!m+7K`t07g^)Y|W@<UeM&9zGY(_3fqz}
zT8579Zc6?K5C{FZAPa`j%Ygh~y`oh?4+PCE=ocqvE2rY4?7*2g+-=etPSs(rFV_Gh
z=a`r}UH32ihoDPT_a${QJq_=L4y%?HJ-y+5SZQrbhw1=^X^Ba5!TA(p-=wXBwk1|G
zK09LVCk?viO5wy&+V`>qnkx7^$>s$;4TJqr)X^qH2&d`w7~=4|w*{tE>y6(BS$R(m
ze)M-Z4s;r=9-t|@qa*qXYl+T`6KxKqQ8$(xvHeT$IiHpeVL9jgQGRqDUs{Y5)!J-(
z-cAs}T^aQ7KGf|5+8;c=JTScg__M##GAvpU9(ht)jghg7n!J5Gu#quW<&N(dduff~
z->eLh{4w^8JGzCgR6^yMZBZGX`0i8_t<Yb-aLO$&gu6>KZIwD2E`rb0(9J!>-#bj%
zD-5;u=Rn4NnokLm^f<FdgVMk67Wxj+6*&fU0qUE%XF%GNt#ou6UsHct;P$6f%@p<j
z&_GN_w)9Y(5mAYDDk^Lp^%ioO-$Hi&+B345ls<0_&={MJEZzu(OCp6}`S$Jc%O9|R
zKux_rNJFsim{X%izwQwR4IG}9`_QQXgntyQ=v+VsM*yI{zK3e`jN*&8F=Z=#_{-W`
zmnt^bb@fN;h{b#8cPXphXMJx+;|Ehcf5)Z(_I!)Tz{4a_0utzVd@%xiv5Dwq*=(iT
zk;fA-i}Ye2LvlaHUm(T5TVcZ709e`b$(Q<L(dX%15b7K@MKfRd%yi)bV18mh`3pR)
zj@E~XquX={8gM@5#7=;DQ4)M7W)JbFfgE)O0d6jd|MWtJ?HhZw>u3Pk`vH-;8(TYQ
zn2y3LLY&Fm?DiT}%fQDtJB1g<?7(PSEj>}OV{Fk%aH^u&_O;%5hyw%p9bXadP$6zA
zZL|;xZjy0RSLTqHpe7;<cLvPoW)Crw1PL_x^v#s(5nW61nfH|IhtvU3vgzOXN}Ivt
zL16qE_k(VZ<F!%l!qu$j;U`#(k@G}G(3q`cdSDCA_>mPtoFqP848G{BV?-FIzC@1z
zGW+CN>DI#iRPWQ;Kg({xv?;9%Am}Ug-5L{Da<yB$8jgmnSa7uoA`)PvB|2U(M^6r7
z7uLwUA`_Gediy997$KV3iBl;7`NBaLYgUGKd{{y22HJlC3mhqiXp!@_IFg3I-4HtR
z`nn(m0j82Y>qp<#A1E66;U=lm<F7Oi{Y+u2$(bW6CrSR%6$Syj`3Qj__sICXw{}3y
zY}%4kh)$T*&OxvPS=BNT%d$B+@eStwLf6JR+Crxq7F(=^#-l2b;6U+}276WJYT)6J
z>u|5%6aCU{Y|B(X*fp8#EhgUG+12K&{Dab4fl=`gG!A(4Op-ZifZlOf`2ld@0KX-U
ztzNilR(&~prV({HV8#NJUvh1<v>!-)dGr4dOJ5lm_1`tEba#k!r*tDAE!_=E3H<4X
zr8^`9=}sx>uBD~Bq?hjQhUe#XKfL4(eAvS|XXebzmz**C8b)YO*@p7f2vmSlIFv@>
z-3Z4%VqNj;`ecK{gdg8f=J4et7?U(TRJiB^_mc4}XAsoH)?9ko5w&#k#Nz0k*WN`q
z`xU9sqiS4<|8;Ca8H3Cx<?zaxF$C1OmM^S=Lm^Djc;|VqThR|W2tBBM1b~g5@tfny
z&$kJgyLXIZ5JwA(t~X(Jg8^Q4gYjPZ`?G0YjJ;>>&in4KrkMh>ZO>K&tD#f(%2#yr
z+a(8@BmWJ&U?4wowKIjGS^i=+H@<9VQi`-0ZPCA?&|`raQmc{;QPB~jibz7L!=Glg
zYn#5c-ob?<cRCoWPZs;i-T0mmpm=ei5`IuzI>?zjxX|z7DE~GFpfo5UVF{EFAnCs-
zgpVKTOmz?yADpEw*__PUmc81!$b&lPW{6;W7HSt(?r`aC!y1^Q-IciiNfDxx=u@K+
zF;7!0%4#!n6Mzct<#YQNesGg(0T_(_FmCDlX>l!pQ+WQgm+8SnqLOvF&YJC|Vv_|X
zs+^^k*_XW9DBlcJrzb*@Eu(O#X-hY|i{4)mlPoD9SNS7V^{<7@_b2|9Y7!-+%VLZ!
zBli6KP4#_$!^3Fr2oU$59`%~yy%+mCn!!phrSWPc3LZtML@5~bG0Ykv1BW>87oPgI
zDhpNEN=W~6^HQb`GAlJLzU0vR8&HD8ppKV~YC^5uAiuFoaItMv(NkD<IiP9gV>*?8
zv|b(M`_Civ3<;;|8&}9WWy>8BOkM5bI%=xZ^5iG5tp|~}P@cuIchtUfv&4M%LLzPy
z?%-6c_+;u#o@V)r`69IV+wee;T4P(3j2cg~IfgH%&E#D~0wS-#;P`SXTAVY_H$#Zp
zpgozC@FhZ~P_##qA?%f`!r3(-T{&duj%nOu`WDpx*}#*?6;QvZnSp!^-PK&|qqzmd
zBlT5F*^A}V=V`kchqFqEKi6@$-g;&iq<xcQ4LFF>Z_Abt`!U@w`Xl*g(b@=C{)jpq
z;T-E%ZR0&C$@97AxUbqSeVD)f7<C0OPw;~kjgME&e&egd3jJF>BwnB~w@+f-?6c&z
zWS~>7M=qG_ko~SDWK);~?b7VEFR(KGCp;L66MwjXE8)KCR0C(XW=(+0eSRBYd)qp!
zs~S<K`qRUp>lH$SPdC}~P0vJHUUe?2wY%m0(O<OA9H4AgO@{sBlJ+MOadms8eYzAr
zaq328vD#3slC9ukgtyebcd!bU0W}R3M_j!UZ@kPmTlkOnZt%_e6}0b%eytVb7Xz*F
z?)qJy`(>Sf6o<de1|(%YxfVaVE(O?9YL4Aht^lK3?0<jZtLL8Wy-YQYUJf^a6-dFr
z#cFd0r@OFcTfQ&<YGKaXkm<MI;%|`3m=HRk*iuO*w7yZwhyT)VZ`@!o1=U?2nXym^
zneq}@5DxMP<|;|Ufu3zbm<N9MJ{4?cSL*)#o!pRx+pfEsM2Hf2^{SWY$|@>yBs*8P
z=!YM>%}E68k+c50xS*YQY1!a(;BDo1cK&hae(0C4Iy@lFg32QWv1foC@x7`FD}OtH
z0(yn~;_GGUsn?&A4fw6`(`<~eex86>3rlJ^<couoc?sa+0U8@HV+-0sR3t|zl8OF#
zThrEPy~_{MoEZ!eF*xo0X}Hpu>bbv>w5q4L7&3J!1+rJ6we83%i6mOLwZppW?FA;y
zj)wj&UEsoqOSutOTI5NBjhRyTWA6oc!i*?2KSg8V3d&+*-Xo&Px7_dGU=XxeAo{AG
z-3g2R`9mbP|NI2|;r8>i;KgeBACAM_v8~NoEZO^a9fsWPb9q0+QX1<_nk&9g#ySkg
z{0x5iCqk&<<tyd=7v!LH0-I?T2hfd$^-0?|gXuDQZ9G|CZ6B9pQ#s%F78~cRQM%a@
z)qUdnJksGs5z9^-Frk?Ouy1etz{+Yr|E*usveJ*cJ7XZu!}~7W^3pLpYxW#|?E)&E
zq6H*Ij2tB=6pUr~ib>&%pxmo;&KJD=PwwR#H6rxb(qo3i3FD6i65>E|2v!(RdtD@q
z8NMwauVpqL((Z#%Yrp%A7I5a~DQDn&yV}Zvvpbr2np7+;4;R!AsfDInCbYX8ZP|Y|
zL~%24!Vc**oD7y~{03{=EAoy0YRxfaPTazUqXKS5sMafG3Y!K6EKmGD-}=)1^6g2Y
z#TyPtFB0IR{c%7!|E|rtV}7#WSffb5*gk*l9_a|Oor2dYOWkju*K+RQe*k>G57U35
z%#jJ@a3@mer~wB+E>GWt4MKGAI<_BQXg1Fs#+kL5I~2KNU6<e~U-|v$JWsEx;i**T
z|8ay*FFlD`=$_;9X0SyY&(L(>h+HRy{D0)Mf}h6o*X0<pxlg527Qc5mXzIISouo&)
zd`N*m*M|*XE22*aRWB_RuNH=^?~JYnN2-dr-xz@9IY_a2P4KdFMMxBXr7wif+*ud@
zd<2*2cK|~rFMXxR-Q8vM2jp*@Mk$420*113i3W)asfGfR{M<tS>5zMHxIl!d-+hY+
zVBGll$knBsVeo`%lf&YlSPVF(K4*c$(o%Q=K;oUg)-aBX%GNtUi4To(MJxx|zJvU6
zQ(Ab`%2COdx&D#BorxTyNv|<lVfW+}rn00>awbW6J;Su0Se8h)u~e5r9lO~?_A=DI
zCbkuW@Jt%OsY}P?Umo}w{H7X?82<#2)!Hh>R{aNfmm80~oLhg%E)<~y53|g+-LwGz
zUckpKG<Roa42_~tOHZ7m#=X;W-xoyOL%5b74jm&hMc!KuM7F0Ry5IKM8W%iOjK{=T
zm+<W(;~UMIx}cQt2D~C?nnWJfoWRG`cz4mg(g0o+G43BDA*fFPtojUAOIb_a<D|?U
zli*G{rr(Y#UEz=IWGA9l@IE1LiC7@f<!%6c?GC<eBGNhFUS>8$|FBE=n`b@Gh?1kZ
zQqe|EsnnsC3|5R+@aX_{U5}$Hhk1(vc`lrCJVtD+-6zYP_Gebzwj%Ey;5`^jPI(jy
zlZ{22$+rhYI#&A=@hQZ{;*Ay`vy#)mV!0nelL=!zxix^zv**bUP#z*zVIoyc#R4M1
z?;bz^OqiBR9UIb_t1(j5$l&^XjI8U}4|{ahUsg#HhL7cfK;i^YtKvjpFk2#xL=u!r
z2e_(aPNuF^9;N9JXSgT@VK1Ps5PZ03Bia&TxQtS4OMp9b)<|Jd$8`9DbSC=+bSC#N
zz~M02?YDV_vs48L-u`K+sQjbfv%dLm75q@=7grY;J-`ALqxT-J%n^k<PFD>cEL+xC
zHYd-tQ#)+a6Xi!yoN@lDLke2+1gD|2w5)1YP2xJ)b1_aGG518-16QB?6n^y&;Um#S
z@uqwl8pSGD<7hDSdgU~<+LShAp4_eHUidQK?N4A#E<yrMSes=bCzU7X0X|3*FCtk%
zo2lMWNfPKyHnr1agl1>f{4z8Cs>!bJpIj<JrsEk=nm?4xwRBehQ*1TgxVs@FDkND-
z4oMN&NwLMi9+7`qsr>xSdSExS>F43H5m8lKQ&ea`=3L^atmEm=V=?BvDG_H3-2Ow;
z_&5{R;q6*EEAQ1x^{<cC|4d8;;g!Lrzj}lk?&8yH6AoP_*@BuaCWmc9HJ0=XCfz!@
zZ<YBqj&eR7+Y@!1iBxy%{^3G3LyQUbZ2Fu!VmY~zvAq}$>z=t7eDDy6MfS49j>U*=
zkU%e*vrm0CiCWbf<)p(FCyO0&t|XwbpAzbh!R+*4>`Eic?bS6Q$i!sCxW4raMZW=L
zI~E~)w#M&UH86p<ckRS$9lCJ|8)N<~jKlzzqZu1O!Q?w9F_tewJ3kDULK_4eRk78k
zl4`eYa5l(!FgFj$|7d+_A$dkbNtmo0Ql~N(&utg%Td1|ZnaRvZBeYzD);N%|IBtwS
zXCssb1-|;{?RD0D#o-kP9D26@B-*c78!sQXg*U7r?`<nzFg<%?&%^8)|K-Al=k6xZ
zLD16rX6FLLDgwvs05>WyZ~pSWZd=?0N11N4#M6+hA5T3@Z-3Q|JeCT!R^{4*V?`TW
zuuAp#IC)v_5;<bIiw60&aa0Ia#=HDS8fy;{^M+`*{8D!k7+s&x{CR`PgVJ5FSqJ~G
zedc^pkTx_J`qJC=Y!f2^%j1*6y{~(S4`$WzIx*3Vyo-5hLjo)-|KzZb7?*y08@?vQ
zQbwo1n0KQl4LQMBN`%!iLI6Z!GU=MDmMEJO+iRikeM;G*TM+Q)=H1F3L9#}Q#YJYO
zvfp0}{s>wMbCwbta@n78wKPc57|)C??ZCW>mH2&yD~i@LTCMQJ`h=UudRp3Zy+YI$
zYIEF5gn71^C_#Hx(ZZ_yJ*jBxD@b+Bcm^P*dg)UA?amftPg!j^8{!Y!-@i$2(4VH_
z+D5|qVP@qMw`ukFMjcdSkoLQtvTJy}%s~8P=lG@oAtJ325EF>f((^%f*iAP*mqVzA
zLnyEGo#9rOB-?k2_ICbanU%^TPu|6-?1uGpX?ldx>QQI?+=pL1q+-d--aqU_$oj}k
z+=;8vaL1$8K6(5msbB%Zewn)ba4ENdWCDXA?jK40g{@o#+f-NSer7o}H00`77%i57
zWL7$*IQ8$q6m!pe8Vpk)SF7jid-A<I`x4RPML_668HucffOt<^=($`S;(1E73%Rx1
zn!e368)<%q+OGA~-%*n-tZ}lKc(b)Ov=qy*u#q#8TZ*T;Y~srf^B6SU)k+4OzUro7
zYv;VkXd=|yi3^kR&Iwdh)SJ}f-<-@Fr&lIrG)NUW*Sy`h$A5GF73R>jJj(u`bFdhc
zXS^8YGJlt2!4_ho3|6*?{NbSQ2K<Kq+#y14@x0Kt71*3sQ}R<59NqpMS9;4V+?W3D
zm28xf3BbMABI#Ht8Nij9z($bQCSK2}PwCHb7kTeKb-PdC3s*8RvMjJRBp;lv{AuF`
zd3)~D5rtLS7bxw?!te*i@iM(Y?%j^XZbXy^wong$Mmd_PF@e=u%R1O4+6CL$JZWzg
zA=hDA!;+Lu;q47!S>m%HU~>(FC>~ZCq2K}+41o2O>N@4SIK@oaY>4@b(e#!`9$uN6
z|I12NQJ^w_o>om2{_D0ER(P)9hwPy5_~TE`SV|irIx7ne&Iw&<Fh$2Y@0X%!9MwYO
zB8=u5+EN!%@qy%qkM@-BnAaVSL+U;G2MO0#S-Ttljv0<T(qF|neVt52T!e5M|3e8v
zZmau(J!A0jTU!ze1p%%c2{4(6w|kC`U*M7^(}rS2!e|0Xi5<Sh5B;S(GI<K_duZD7
zYE#QooyFkUa|KX-q150^mAv|yh9&Ln9xV^S%5T4S#;VDWK-7UxXuWfFhs3-<M?T<#
z5&E1Lns+-+%5@a#6ju}*^0|QL&x7+m+_L5LukPiMAgd47W>KSF42Mvd*k@Ka$kY4K
z2lw)C_bEOKe8JTfW#o#0qtK~A7ii~4{+>i`&c6(V1jF`k`E=!ev6%PdZNf~z`V9jK
zds_d>(yQcu;<8|L+;SfzUV?MjkQ7@50s<#pXx|+j&6oClm-o}5IPEn3o*S^a(9k;s
z%-a`sQB%)FfxkcB>JNdKGe;mU*qVr;RwLk50l-pk<)aZe^k%cn0e&nY0>!J|8ngVD
z;DyVjM)UQzmaDy^O%c1)>t|Rf^nVeDtnfq|=o&!M*FVy>Y976fkQayn2f)(52yGu{
zUeFsBD1q3R6|#aL0~SM|4}>I~8|ZM^`0y1pGVj2S?Y9!2+dEAs0T3x((jZ40+@JyO
zpxLlclm?`=&c2!F1~bcyn@GDto&t#^3_ZjQKrSX=o{8gA`PVKfGgFu=MrN1Yu#U^5
zo7g^4hqm(oDvvs;?|YH)exH;SymV%H9t_&Ji$GH`tc<__$H4U#11HJ1VueCPkgOX$
zVgHe~s5$d523Y=Wycw8|M!r0S58+5>0dDnc&qd{(8vtN((8Qd?R{`vz2wd8wC6J_~
zS<s)6b>(kIUwf)WMQsvUu1+jwpUGNHJ7!4rd%w#2sIw}#3h1CXV3O`3^wD5M)(GB_
z^4=*V)b6<3NtY|Q8YW{iD~@S@1^C;5HBuJm_Yl_OWvR|YAn_}M!Dj7|*qB`Dr~&SI
zCNu*hH5pO7`ho=KT}PKs#lnP5hI0vbvPmdHPx6d@RK9tDebvbH>0fhN?p-?G9Vv-E
zLC52w`lMX{henRR$!FA;cxQN1w2Dlpq*1etI1VE6UdP38c+>=n|M=L<7W))jYcA*4
zlX&^q_5(DkrK-ds{VT5zZGtdgUf5jOk+XMAD`jnKz1O0Zo{+=owBnr$J{MY4cSm_0
zv1V(gc?uj?k82H1-OUMI;1&2hii+chq1^L#&P%+||B5k`1Hb&9WB=VnJRLG$!_!%B
zw|Tl5VR1F>&DHDQ^dRwA_v3^J$q~xQ5}ZT$+!;k4z3(g782tzJb7QU#?;^9WDxr1`
zDJ202e=ENoN2ggU*|k{YNbAIR_U(HdN_9J5Qb-al-#1Nk9<+}+`b`#&fynpEJJ#HB
z9|_(&aP{U6p(CjF906%=Rbjp_Y;QdC#R2DGCjV5iz!jPbav#cn7#RYaOpi2|wVWDS
zZO*4&n6j?tx?HJF!@ZZqrqrsD3J^{INY#0@l8LC~i8udSXmG{%dfzvH-?ujpyNO71
z?ex>%C11Y6Yk2K5UgK0x!7wptPUGrP<o${ZDvN_@o*-Ddg7Nc6LwipgLc`VNOR~o?
zF#3)2;7*}(B6Cl32!0RE8E@70M!&279)#GFMucWf#|u^e0!D{AQ4|msac|9<+wRVN
zirs3qfJEqD^TvoMR`^EeX9(;KbK3viWtz>3I6SPkN4d;4AU;c31@p*rG+mt9^brr_
z?ncuW?y2HJP1@}L{Los;%l~i7*OHjoYYvF(dTC0R8LG|vJ%1B&j)Q%o&2Y)REh(fD
zQar8FWbj^tfFC|7u#WDz2EoH{T|+=>SUCxqZdI>8NAnntarrMu)y8*TsG~fg<0t)y
zixci)hO^0u$_T^(=YoGBpYYMgiH=K-%}7RvJ>dCQ>f(dMMtgBaG#AyMzb6{+IJcu)
ze})DsnQ6<$vXoV@>yFFA#5>h3MRDRw-RWN@Y*P)o6h7yR2;7r&Cx0B+Um2#+Y?oBw
z|FHW|s2%2EDNSDJ9s3Y=8k!@)KATHG<@Y@0pyqSiMQ9wGY_FD;enH6gVffptGr##W
zI;OH!n5I!ZQpZ(?o%Vp_Syp=Z5RXrSqFZKo?gu_+L_$UzwZeQ>b&qD!j0?WN2!=>g
z$T+!EDUfskxaPJ-kwl(bu!ID=ILqdzkg8DkxFifvB~nu;uNu7G>cc45%Aswq_06wv
zGXlrkeR_|dQF$eZdy^>FQ5)-xmxQjIHVYq;w(aWHtrn|rUU`r)y}X$pzT+&k--)?w
ztcF4GQnjT~vrnD%uWS(X!*>x?6=I097Rio-oN)T?!6P`>Jx^N~{{C`TC_=UnFa>Q0
zpInGXHWsuB#gIi32{;1xJ)MX^YzRKKu-;c(iJ(%|%_Qa!R=kHH?p12*u*&R0YxLyf
zQ+sILu!g74i;NY#x)k38u}-vVjSn4_5jA2=#@#*fg0!$f5Ohk&F)d`IAGYT+;mvko
zL<MW&GMd(5@_;^1)-(MMa-lBaNHgIGf72nEHfFtzfgYMC@`f<Zw(wVQtizTt$%e2|
zx?dhk0ceh6dp1_E9@c#>LV|oXcULT2uukz={UX>KJ#;;1995m15+W%nX(_khgHkhI
z$#ti@c(RoFn8&*<`%54S)`T&+)_Zj6{OZ^0PX-af8twg>zII6`Votsv6Yy*V&uOG-
z<eN?SVss26vWdvuJ}IgX7dh=Eg3f*7sn~97UQ3R0o!TZ3Lr)^4kg(gz>9!yh9!dEF
zyC84h&Clzw>9>bQ%AH>Mo~qN-ZQ400EF-c%E#E*1W9oR$dQsCK$u<~z+G1Mzd^tmR
zJ!4g^Zc7YpENo@aGm{6!5bzgj0*%xi2kL6zeTSvm=k78tPq{zCy_HYpzCUR6pBLM)
zAa56SNGTPPWlHR@D<TrK_EhlmkSrF9*1nI`J&euzz;>Kt-xxL2N5*#Vy)nxU^EVaZ
z7XYimD3abz*h&5DSYqnnR-sSm!xfy|{g~&zQFm!n2G$n81?B#cgT536T_@*nTmN=o
zOD*~u!l))9qe?;k-$&gKI(ixK;l{RStNx3`pHp5TTSdWHQwu>)|M6pFGUs1oVxGQ5
zh3B3}C)RPDbFwPfE+TuTiNfVF`p~^C=tuz|*7^r5w2(Y>l?;^p1$x%72`}*?TYn*)
z^-!C6F1<YTG}adG4aTH)%r?Fo8?O=<ty(IuBGO!m+oKp9X*c+prZUv+2V#F|3G%Mu
z=$x75yK(YiMQVE#mxhEPUve+>t{j%TnIkB0>}5$Ee{fk4SW9$s`-oI&+0#1$(5Q{T
z&Fl+wF!d}2s7G-mFvRjvQAzt|Vuy%Oj*BhH*+Jv`pQ>~y5KD!9yWha>y%@0Dz<$1H
zHtDUP@yfM;45~|+wpH<_teI<5){%2@4N9l3y&w}Q@kCOTAx$?KScotb-kxnFPTcFu
zyrRW~j+HqgLMb!6_<xf@J$UiKD^GUjd-BujHsrJ;l5!G!PR7{S*jbDwMjL{*Jv%-;
zH<x}cCVCR5#htd@=X7~(8X%7V-$52EP9>^VIPU{0niI5}ekndNj~2v^OhX}XVdc7Q
z+oJ$DjS*)7mRpk!%VQqWgz@On#hYDS-&)A^HGSXK{qdyG!ae!+xmd{i4}tPQx#+QN
zp-c6Fa0scsiHyVWE5sZ#L~u?pxK4e<tFTli&l5DutXSp^R!`1i80(l%%$Q1_uws5~
zXQkKefh8x<VF5FqvAeftpGugFRDWWDyK`MzSPh2i5coML{~&oKWf~=clvU>LC`q{M
znRPT53kI-=4jfaXiCo}$+B-FIKVzr)4M|E)VQ=lcoC}JU{Q=v(x#B|c@or?1&WI=>
z8$AAJ{Sa?-Mb$Z9s3?~$X$iU4V~M_(V!WGFPYb9|v3z^ABur$@JLX|M^DRu{-FS%l
z_F}bz13vkvCBx-mxW3FT!fLnf<2HKy%Bt@hOi3d~hHDhce19XMJMW^jrN?sAwZ#X5
ztpo{2Kfj`WXafIb4mKtmCFFu0!a+JTfww^m<V(;(c6D%|4&u<>I>Y^b^zl=9LyYn9
zN0Tb3k~(>D#l15vUtXkt3&|4LB)|n9ag;{GF~MBmGEl2sU%8O`i6zR9S+XgRF;{>b
zZz0wV-z)snYpL!UjiOnaoE7k{^EW^i%QjXkc8A!SGQi!;t~IIslyey!wR4a%%*htT
z)xEj=fSrJ7YJe`@-fB)=)UMa`<A+n2*d*CET<H=*i8<W)@RXMjLR*1-l`YSE9SnRO
z^^3}#;^}CiPw>6&hWzb)nS9oaV;FOxo7Y#H(MG@F)-lKLYkyogV*y2{`Z@F`31^qr
z>%BK6Fm;oWr9Z(|yX<#Hb-&mv^8OkmQ)#|P02u`L(enL?$Z%iMN3l<LwXuOVttFzW
z7YZ<5uF$mP+BeTNa(;J*p9u);F*;jBi$<?nH*q~$TlCJkn5TI6<mzplctJ1+;$1ls
zb0Ctl_o%XKWk>(xa4?<j`54?Gv!*FJtF^-1$%s!g|1Fpe=sTa4Y*dr;@0*s6X&6OS
z`w80_m^I|GGrYof5$W6Y$hr3f`5H-Fs~lGlJgS84KWG*8^_-o^V!t|?c)H_ySb6+M
zQm~%TYM3!&uF(_pX?QX$3F_Pb)@$8UpqOZ}7LOEUOKK7kK}7(Rp4s0AV6e1=@EH_;
z$F4?xFPU{N{lmj)Y^}vUwC|QD%4YRYOm>_daCvU7re4{P3jN*Ha8D9neyEnew81~~
z!Y5Ryk_C5aA^TMjK<!z;lLn~_*a7Nnj$vp&M)+v*iPhfAsH%ugey(MI_jJ2i_Qadz
znu7|q+F|`*Vi2gZh3vB%y^TzchM8HBl~r>`^W)i)sYD?2{52Qffuw3e;3kC6f^-gf
zgEk}u3rda)B7rD8dFH|FKFpPR=9qVJ8a%Wfq;USX)ow8K)Dn+~?2uZ<*V$w-DTs0!
z<dV^i=6d-!`gcw?%6}LqHSI!i;&F^%0VB2cbR4V4Te9bgbkLg@neB%?FUyex=b>n-
zbV_{^?AW@-ts0T-)W1qBFYaTb1Eqi7YQ^-j-Qw|zNo@Df4X4h%$cI)8@YPWM`(1yu
zU;<6ux(_w)gc6BuyYV{TQ26)*vD<$FCxyV?i28Wg-T&b@Xh0YZ+DA+tf8Nnh#u~x(
z`WBD4UZoiSoam85Lq$dP80l_kgJhEr${)YvySe*#Rkp_6%`}G5{|#@^<h9gKF_4rg
zbFp&=rLc?gce7dV4f-_`3AIZwW=;zIJd%20J~2;zeQUVfmb@b;xumdkcmF+n{>Q{{
zd(jw@?$OTv=8hcwL{eBbQ&$YqTD+3N622c|{ZZ$>7y|B$)lquorniI(&Y%3!x%ua^
z!azeAbW>L-&)77>A(-hV3(iIP47zmhnAK@}GWX2qUeL3O>|@MaP0V4WBf?9_?J>ja
zeCBhPKZ;85<wx2tp^{Lzua=-lbE{w7E4l|@w!4??+@&8A^8|$|&%D}sM?A^IS3>Ts
zV2UJ%L-$==*JS`~x$hcrarx>L`5bbd?b_4!aoAc!F*-mIDL^yC<CWR%=?0zxGu8C|
zY40=lLuL1El(F9^N4|>3=hNS<tUEn4draMK-?0>MX;!>rVrMcgacLoVp1k~DddrEC
zMP-L4{OGj)%MPBY!}K33pcXM-MJGSqe>k7{>bMl}-4T3wrTf8qkpjlkzns0Ntp}#3
z%^ATK;zSMkd8=ayyAeaaEiAI}g0U?u7LwAU1sR})goi`027?%vvYod!lSEK2Z<PX5
z*gLKNw%yzmOaLE;%?{pzR2QK$)CM0iva`|_6AMZODZOwAbPAdqX2HQcr5T25%x`9d
zwg+fiu;h$th#KtLLVn>pL<4>o<g+P?Dvy=s&w*$8Z^qM9>!_q{(2F}IyOXElQnwbu
z5w17&@fL&h><5jN-(Gn)>1brQ_jJULqDHY~PwrL@YzD4JH)IJ*V^qWrD@bf15E*(%
zxNRTm)JeSc0tfFt67a5XJ)!*coAPt6)QoU+X(hTeALiohhkNOf{wJT!xt93r962s~
z4T-8r89W6!V1;yb$6E-DVUwW!I1uNy4l?umt+1|>V_59-vvNY{^j(xLeUV@4X9Sgp
z|9nwljLus{UfU<l4|nVFp(TMFu0zuXs+No1M-<yy?DiN`U)MSpn&fvT5pLr)bzSkM
zTiX7UTXtAw(3uEy5;&~bJ$G0>VDx*Vj9Ych5C+Va<pU*&5PR@~sv9tmX$WcM;B-%<
zR{lOCj)g8{W>D=AGMb|YN7_roS}n3SaS|alSOsgAW=#&XHdsz#yz%=8xib-d)Wl#!
z^!NZ3R<Zr|93z|;q;#UVy@Zg1^k^QKvq1i4IC{$9J*g8nr*(h8w!HKM*GH$rZm-{h
zrgV4xjr!hh9PGxuVSe?WgrqB&1GF653{eImTLG()ZWi4a;Mjp#_R=g$y+A1(JikR`
z{qh)OV@H+`(n-!CcPY{1A&nJeu9AP42V!G`4(6C%8?3um!-B4hdL)tAkZGTDPuuhH
zz``J@vd6S>5fr7md5Jx%qk1Wi`OwPNUrL0%rS@>T<n*q`=HG$bb)1ct>=-_l$80Q+
zJI1cUGMEtf=0V)ueaPLrZDH;WVS8q%ggD5yB~(0<5Q(1GZ1$;eu4&{xenu-A9g;Fq
zXB_52yXQ>1XU!Pxq*RIh_lNLQtDCX>$S~f*L%GAp(O^cq^_ZXIoEtHMK(r>1gu_1<
za~F&p_Q{`J%=Br1=5qTm8uVdxCI7IMcH%)<V9(TZm)5EOWGQ^?5M$8ONwRL>mrPg6
zX)loKej1?&-ol#o`8w$RoV$A`|ETk?_$1_iPtguK%1k}F`%ZW|^%vG&zdmrRfIZ;E
zmV2vLsj;D25^UhytHOizHMx9l8@mBq3O8das{A^-ePg$RUp)IgZTfHQnsi`+)mVGC
z5FbyBzm1FoMWQPhXdYAW>UT>%W5za-BrTY~@-x(aZY$0t4g_q5n&clZ(IxScz)`=A
zg9hvTmzBJ6$BoHBho4ppmM0@o*D6U-iZ`255W3etk){zJb2CPH6=w2&bx^l)j{haD
z<Siy`W1=T-l8@Io6Z*MHS&M6S!TgZ-6S2XO)-h6%vEb!%&)J7`(=Nixuyr1Oz6`3f
z^IEuT?!V&b>m_Vmf9FN3xV|11Fd&^`yGeCo^J9t>wIs=&>#ikRjzD=QMH2=gK+-v8
zf=w+w<pwQF_P)mVizUB5JHFyz<@XzXsTAYC)@j7wyJJDO)(x5a9Or*x4WVON7tMqD
z2)bK1;w;UuQEcn%4IdTkg2l55`w3+54#x)!<I8ZM_@(Q54OshLh3mf+QvY7xE6r>X
z&#in*d&gl!sn*ymgP;VX2&y2@8p*?z!W@6gd*wf#_5<DReNv9@*C)W}WWgSxWZN2m
zf%C)!z&es=8WrRs<X?*{p6!2XSV0g6FTVFQlLZ%;Z1w3^rq|>U;({WdA4`wTzX43Z
zorFr;hkCSe^rUvHX1(r*mPph@m7x|j__k}1bgNpjCUoukuV94GxgP9HUB}S576eTk
zT7vrzAaTinYd*)Fh$EgN;(}q~CcNUL=5Zs9+=+$gpx+u&#0T}eTQrhA%T7&h0!+cO
zQO?;n2(id3BLTLM1*CHKqgg1IBpB0zN5*)|?GQr(ER)HUYcd-{s4#-4=g%~D-@d`o
zpv&O>5QhND6&r}9WLuDaeO-L}KI1TGA|TjS@cHXu*FOxcfV9TXUfo+5(3+R5AT`yy
zmlSBncU&Pm)l?W`r|dI5_k(6-3IFrS+$!yTNYiI^vf$?8kIU%s=K1wu5Z<|{LLO8W
zZn1DScr4Yv@5A@-e7^mEusk&mgzL_4`VHFh{H!U>j+fq6UhVkbF3v(r%~vxH=HvF<
zW%=#;7@aA>IsR26Luz=Ijd)O-@!&u|ocH`bQQp6lx!E3zpXeaJG5z)D-EV)kbrB@Z
zhex;COIoaI$nP5xt`4Orh4hmX+#}?(I1#$vhds&&-94U%!T4S9349PNQojh0lp*A9
zaS-B&GFn^NdNqFZdelUzHS26bn-N>Y{w(=Z4WWbAu*m*d0wbP_BY%dfAN2`){ubCA
z(L?w;P7TGuY19yJO|SXAhr$=eF%=uUZMRB&!~KowG{Uv{sQ=EU`(fg)xK_R+p1}P#
z%KLlrv;T^wn_^EJ6*edZsT<99m3d>$j`gdJS0=+opi6*c+Ig5p91UThdeElGqWo1^
z%N#QQJNq!f;t-`FDiLM=yk0hWNhF6^BnOhZ^ncqSpFJ<M1Pg>S>qCXa#=RHTlh$jl
zpVd9_cav|XEvRLz8=z-CpVfU>4J)d#ELFo+u&o?~7>qqB3nVS0DR%6n5mofbZH*A+
z^c^+@yo^2+S!mIBDX^%ePc+Bep&{_7V~>G?trlG=9CXjRZCsbkN#)FV+f%`5%eua@
znNBtF-Zh`E=9#ju4M$2O3Uzr^eZeM(ApSY&*+{;k5JDykv9UF3$UxJ@G~-x_*;%!O
zV#8^JjXmGqTMmEwwx+Nx<VYnp#A#WgaZ~tLOw+O92rz;5-C`4d_23jHUg-S~tz<UT
zoCH4GFG~yDxErd2P8=E*`3k8PkldC7OaEj4wqy2;?60}dDe(D?wXA|dmi24$4$Y7h
zjFjrzY+3A^%J(WHVlh63OYfdYTqUx8yyZ@*2hU&=+n)_pe91wfq~`=JLCK7<8#k{0
zWry(mB2YV@kcbwFiUTJLc@860uPP4m-J2m#UAs`@VE3D=`I)Nz6gTp>+KvCruQA%h
zb1({HK5Y+4X^ME!UWT{!);*omBJ!7{y;4+Xr0%wSJ&h|t52BPm>oCOb0kT<WTte=x
za)j(USPzq+Rcx(>Id(=lFOZYSTz$U#_^(jzLLfck4$)VEpD5c0^pDjcymhi$yQ|7_
z`X!G9;MDR^nBuT=wZE%30(#e8OXoXiY3_zc1PX4X#MM%4tmD-5XP*trii@va(<n#U
z9ycr@x3xyJ&t*8>b4&}ZgbX#jPhvLElgAaw@4%^(9%csb`?=DK+2T>U-<ACGlI=TC
z-k#w4o-peF)fzXl!|}j_=B#)Y7N`i>fhG=k2Ui?yCJinwINo?Mo%)zs^Z4mX<k#FJ
zhA+YKdEv+VM;3y$<0vO{i;R0F>nYTtFZ^9ZZC(z;wKmc@A4HY9{#Y#J^J#q_1NL3g
zo~VSh-o2mn^AYHfC+F05!FFxf<uk8=wXx2Lv!5@;EHA)>?VAPwY)GGQJYQ5V*xMGR
zU)oq4TtGG(eQ{bM!LvP!Hrgp_bh$2WWl`4}b$gB>SfT}?4)1LXr-8(_?(E5NI?V6T
z%0Apk*!{X8#>Sq~#Z|PMM9X(r&Mt2ZT03%Hnw#Ko6#Fs&yIgHQKxt@a#HAH-n>&EZ
zV`ZopTu>kExAbZ#<2aA}O7BkeG<`@`BuBZRn2apv_04)j-;wYmcCA*u_hXmWvE?6&
zIoRZW6{-uhL5nDZp+WDc7A9Y|5OqwEO<=KVZEPYnCRR}5YfQGyp`&XLvsZU``RZ*F
zdtHR5b*Q$zc$bdCnT`sM?8#_oVfYc7Q_8?_nB<<G*y|FkP6oT>K!Hu&(|EVzPjJe+
zTQpC&+Y!LX@M`z<a6{X}vWm!v{o3ZG)!k57+WfbMMs8wPcIWIwU}iLS76J!oA-1{E
zzje_b4XG+2254T<>)V^}Rzx{kktia~pMkX_mEd-jIQ3QuQwOoTh3ZZAfNc%})J&4K
z$mw#1UV=+8qi7*7y(-n$Krun8KR%u$QevyQrVE1aL}Xl1TI&hdA?+Sgv?3MoQF$Zn
zx0O2*Z(_-gwy69P_m`Ou;neK%2-~=>c>MYygkp1!gQ)%77Q(>R&xVTN$-4mF0@?*r
z=AA1Xk4*4+dMt(~rq%jOV8UHo93PVxAD_mGkw*pRk+Y|kI6UF+cv!e02clo?v@bEe
zymQA)wj)A&T>9GdmOe9FCE91@4mjm$0@+P>vp^W=7Z5KN$Ra4c6T$x=ao1Pay<5?~
z9ct#)#;>)sb`KzVQ>*^a>GB+TPL#yUrYq{f2b&(TF{W4yXZ={@udwjiR5?|uK+x9*
z%dBOjQ*pL_f=d8A_LtzFu`l%hK(4a*Pj>FtAw(zL6O_qOeV;vSC&E1k?5VzcDlT~D
z>w(iBuhh3&Nc+i-&rKmzz%-S_Q|?CT!U+ASx?4dU9qy5F)qE0alYy7p-CN+#ygLsK
zrpIMEQ@INK)aK6z;bTrBBUx}~tI$0}z-Q#~fpeD{;t{XrKbn%@hMa(&axy9pt9kF{
zI_<*wZRb7L_i-1Tr%uefGq8RK2soypn&U02Zr0=ae#v9_d@gVr)}YX*Lvn&BO>zeA
zqDSK1nzK5#E-Y<o?W6?8y{ue&AZGfN=O?L^Mx0Ct;@_z3NZKl5uV^^{^7a&<izDno
z1GEex@wi?Qa5$)3Z{TgGEA&YoG+Ce9rI9+6p8U-<_UzZ*3<jZ3F)y|PGUdJNBxoMP
zxlcm4*jX_DzXl(X&pO9Ta6npK;QtM<-?Y9Ym&bZdrfk($SD8HQS6-Ke*NV#k3vGh~
z64xY11yyVsRc){R_Rjnp|5g@~L4{o;=YnG{PT{DPb_FR{ypcR1xjAc|8WQ+WbnJRP
z481XK)5yUC`?W=740hd<y5grHzS#+2Q?nBTqZ2M9<s#8S9IVSeSQmKiceM{7m;)+^
zOeh2m7uu5R+0BOz${IJ1!(fd6)x(?w2|-~wokPKxOuAHH$8Tq_nfFkB_>_$Q#|8VG
z=ZVhZ#iH&l+6%1v-<I%H$ep~^XZAVWv%kdc(iQr}Hy^_?KR$e6=9dZ0)XsF$&D5RM
zezJCdM+CkR<fCcyibZbP>0|dm`)N=yAL83)j8Hz`YTRTb4)$M(BwPe@oP0X9X$C5*
zt<-U_GM_UObJg#zgbXUA7`oR-#CUm3W98oYfc_}-<#6ubnkL_zAH+cU$K57lypTu!
zcXSF9?!KMbe!8au{z;$;i9K2l+Aa23?rY~lO6yVoK}Yj1Sb}bg1dw5=nmcex{<&8q
zC*^VEf|tIxP9uu95QX-evReMm!u+}7HGO46851HXiXz*;D`Rlqb4}obQr&fv6pYs~
zq}0^V_au4e7UX|41A58bF$}LMR$<%_!IsbtHE>mDTCXQ?(nlrZ-ZRUAzi+<sDs+=j
zT-_4>IIyrX{L4S;QgL1GV+?fRQ3<C{+0_Z(hkm(!0(e9>!8}N|>b;Dk8KU6*;$xFR
zo@0Q+sr7JyeDY2}l@S*4=ulJCetpD6kKdmL03;x9m=hC5m|utvgYW8bK!}&;n_8Xw
zPA0QlI<EFQnMYcVFz3$soz2?WY8ftt>HZCJj_o*M0!F2~MLgSueE85W8|*`KRF2bt
z<eGM<dHq+t|KVKEfD^Y~Pn3Y_YqX{B2=4He(>jRhXt14_x4so4f$`7%`3O!;CV+D;
zYk!=-)(s+U#L#ckhTMTe=H-ysgn+@Rf5E8?cKYus)4>`lioQ$#n(8I;dI@?d2x0mP
zW=pZm`(v@ct(d$AVjPkCy{m+1QDa58$D5&D{38cC3SiqLv9T?3CH##!Z-s>go9n}x
zYx|0BSY(Si<B_q)@ICn%wnPgMi|n58Ctr>Sy)BO4pAl?ld5kgHHX*6oVJ^@Q@I2%p
zkZ@|q6sENZ&4!z`-xu)DKo6uIg9W!cC3QeVc3tc7>8bUaEbAO&(QkXBp|s1=3zT^w
z&%>rl$L)FZUQHVy=>%<-q^3F+-nWKcdjGWI-t#<IeH?J>Jt^th?4P~ywklJ_sVx=%
z9Aa4ZVK$#Wtmdc9f?(Vegj<*HYkV&!wzBHE*W(<y|FUsHm7>tNKWf!89M&FsHShxO
z+0L16>YZ9*UV;aqhwQD-19mQTiWz#1@qD`HaKX`(M}xIs<m0v#dTg$@I9>BvVoD*y
zZaqOakD6a?2%-gww|PbSo^byua_nEC%s{e8MfzI|@&(bcT-fG@(^GBJ!tdjW>$x>`
z+iSXykR9FEGlSE*T7W(IEOimyY5Pig*N<@{+#Ni0*A6}9k&ovVlFEL$ID>!m!lBAn
zr})2hUs-rV7!~|~Yme%*hpi6BVV|AP&)wrAf@Z(5O|<c#QfP&5-We9NjeqHGw}@}V
zEvRhWFzNi1x3{RBT@ZoyHDG>$UK{mverFbgF>G&b1C{4O%JiHCCL6P>Zta|za%wFk
zxP`BrG*FjH92_eN?nLx_(~TzIrsW0g4m==Hob@21TZ{aUiHl*}FsIx`r-#%80xb&^
z<v`H5f77ikxR+6TUtAuTCXn+G<Myjs#;+Yln(xh^uU!kB?OLv6J@BFOBBicFR^GV3
z6=kE`bB=_(XGDqk>;TF7hb1$VS`4(3$@jUJh}CNV`-;c9J&ew7ucCDz<xd)+JQq-A
z&N)f$3XtxHQ9(XDxQ-Dz!9pSl9R<IdCcYwGQ1hTEU@s#+^DcJps+1-J;eWto&5zgx
zC=QWuwxC8Co-4nc^V^BoAVfi<_}4Nx1dZ`3CHU_=-y<USqmg?FSE>kLMDRL3F4SU<
zVXoOQHS51&nGha|KgKu|S4iJ5=0)!);te*+3tta(9%uDe0(+ZADT8iy1`BSItGvcv
z%0IEUYrau11@A-XIH1A;W^F?63aXvJS%}(Ax&9_IKUUi8pFKD9i&yn3)aR@Y6ChTj
z2XS2<(g@2~qW_KWH4>OJMmo&zei?wX4$_)sKKXb?n(fcGGw1iX{DYkKn<s{wFtljq
zJk#|H_m4i*uphC;?Po?`6C@1dzmMmu3|Kz()7^w->Zd^{@mFj{tNdo*IzGLgNcor}
zK`2b_27(b>ufNt6r?~xsWt%#{+PZn(!n+0PDzwi9AUHna8LN-IMdN^c2tUk5+d_b@
z@L}E-bDXt8jK0cu)l@$tw98{`Q-^PP-a^{$Okb09h2C8IcgsBU!#pz>>qhIsVGwu>
zjc~Pm44xiy0h+-OXjz?4XpS<bp5=>|Bfc*A(MK>cBlf=O-0Ce)4TydS)Xg6ZJE}wQ
z1Q>i-6|N&h_aZxpDm`Sa=AstkG8+T%cvCw35*wor19%Cp^^IL0i$}5U&y&xG$H0ws
zse<{Ws*@Gh@Y9|l<4CK)P>aEkx49o*ogl|nPJN}4zP5#hwq=*84}erD*@%PE7r%gY
zZMNp9s^#kp|2vTC9znn~AB5*J&aiMBIBURsQ_pnD3vsF8<~ovH#0|b|AIQB`vl?CK
zFB7+M9oga^O}hmWexFE*&*IdDj#Xk=OZDegMe!{SSY*jjqU?WQZ`jSa<uH!`YnYS7
zFswhr=A==41n}jXKOK9(Gnw9m{;IK*@NGpOXKHYT0^_~30zF11Ua~9Jhajo%H=p?U
z9UNvvdfhc7*`+icKB|zF6SpC8i0dt{)TNsi*fd|^Sqjyu;L)!Z82_NaC|It^Yb8jM
zy!#(lVF+MM-jgT*tj=g5P1z~(@`D3C?QLFPcE!I%U=`)^T2Axb02D%li|cTi;c6%k
z$A9Ciu3<L<Zn;ul9j2aetp}pXNCSBf)7CM4?PlPY?@jeN4r9Zx+5fHk>Ptvb3UEf>
zQ)XUDarTFa(#XZvsP1phyThi&*PCWmVfXc5vh(?6SwA*nz)7?>68XDHN)BKH^<_qI
zt1Pe)0}ln}5nRwapsUD%FQSjGAh3akdzQ@8D}jgYzN@v>B1byGP|zNNPG&>Z*l3kf
zdre0Lx$3V5JYeUdc3^w6<{{i~dR)0KdIm_dZR_{^bIOTGT@QA@qv=nR+S9#+n>dlH
zM4t)Gc?w3lCK>nhHbsE)TBJ^v0QJYBA|jpr6O}|`LBZls;9({HCGeIExLc7v;=CX4
zvNq<tU!>$A!#je0Bh+au;z~^~^opwt_iq<>s>7@s&_rJhe!>?q@?fs%g;P#Tbr_D&
z*Y)w)Tqu(!oM*!mJ3I%ai)NDzmh~C)jZVu~T&JQzof@>OUf%uP$J*oJDHEF3L-A)F
zYF0sTtGiXLYeju;kku_E1`@1%=tA4702jRTqz2S2zJo&hB*dWU?k^VMMa@+k0Fd0B
z;belQX-QUqJ25@=(S?DNeh7+vyn$metI!vw$bb8mvPqUTX}2L>K%<mfK!un3fYm3a
z)1)Vfp?0Tp+e!yDG$&shD--it`(_?Zx-R28`>lf34PM8Ou|nPm?j+44#s0YIQBJ{n
z-<EFf8}9`B!z?lC;=Wee3HD}9-8ZoLa9ST9+Dj<+I(i4Hp+MgQ1B9t{EpEcfZ`6ue
z!DduBF+z=|r>&u76C_*qD4SBcygk?U_fvIzokXA+QiMll3B~UH=7+sp5-ff<&u}kd
zD@*(P+h#WQB}(%si)UYIQ?0z)NetJE08%c4n%Yay*4Elb$<qeUS;aGzV1xyQ6>9nT
zsKg@B?*i_bsvi;isiu%r|Iyzfl#r0~+8Crix$B)@k<O;%?s6&?+U57Sgyw&yd91dE
zT&6j_Cm(H_j6UHqz{Jml)ffD`n~e3`fM`iC^5JRpCA7VEHa*h@C&H_y=5C&;`=vks
zNfG`#PB(h#JB9A=to*|33@9JN^};J0-tN6kPW<h`yFSfVp8Yb$w-H!SYHUz498Zo{
z53%wfaZ~OtKMu%rOV}6aRl(=1m8pb2SZ6@XO1;w4E~eZzOoLO#>}RVQj}RQL(zF1|
zDM_WfZ8de?YG3Tx!}_m7_JtyBn(x5PIglW33o!yBcMneAubGp^od%O3@(?FG>4RW(
zX2I8b^<z=rwbPVGSb>EL$MV%6{=(Z(sh~&#-6ca&u<85Z&=HSyvLbLOLEet3jk!Bt
z1s+HS*Q62Jx)-+~@of~Yw$-3ov-&Ul0FACpgiUss?J&Wg=tdT(Bv;_=qqMSD!w==H
zH3!fDMP56>rv-rH8shwEwu;6lB)N2W0Z&G#K;Mqw1W*Me>F&Up4WL$83oc_jPu9Oz
z*ey~nue#^I+n`O?5Pv%$fCg`s9oXf?@%68r_&S$QD0#V6(Hj9gf@$Grc~vx!Lp%$;
zRCdf*OIjohdk#ae$p|nk*6rTwV@#kcdAhEPg0Zk48b~n}oTVEL4(%j;lIfNLt3j>Z
zaWC)bowx2HBYT$f&NdN<DWd*>L|hiKR}satzmKOspO*!75T7GP*{(1D_{UQG-CMEo
z$$ZKu@toK=yS_@^d-4T$^P;%P)GAE!Pa<@VwgI}pEa0j%Dr%wmW{U;dJLv!Stsdei
z(~f^9_=izSt}63`2~RY4iKN>WtZAv1v54m-iDyDo><yxM!Idvfzx*szM2<_EwYtNF
zpJ;-Z=O&j?m3+_m2%+(NG;-kY09%Y67Ju%Xof7B|=fa#oZ^K|=@b71gWM5?dqp|=t
zcPhk#^}p;pWizfb11#bF-=0qR?pqC&N-$%O74yRaDI+Z@%q_@CB)R=}Cv_cGM~C%9
zVxZJHG+yd|=lKOVo}*q{h+}^RAGiyGQF)OnzPwLyB6amK7F1{J^@IP6)(OFOih2C8
zLMuXmtr-=rt%R!z!<LA!M`+g~;`|lqvZw8tqC}S`66x%y<tK3aA^dZIVzwrRc{YX2
z2E7ytX>!foG3B6dxK)izG+JRck}3S!A0-adj-)Ntv0H<kvJKd^jknnUH~CdJ()97c
z-^xKV)R-o2#v+_xk2`VQ?$J0mnmZ}acoMa7jnar^J$7!<h=j;k8j_o6m+u$pDvxEv
z*mfTL=TaNJ)lcV381P?ejFOgyelXkS*smZ(V+3JPfDhL`4_3n<9`{aCoupsxb1P}4
zs4{xaAdR7Nz6ZxJ0>?Q(!J+TuB`>Bovjv>@WQUc@CK%O*t;6w*w=T?ApNlUjn1u%=
zB{!z|`_+D}2)VUn6`fL$NT}fOqu3Ssvxq&?H%jc(cpP~rnCIt%tm2&ExZcDgB7RW!
zM?GNAUzstj5tJdFmGYbi%_9-PQQ;K_AgyQBm9D?F*S^V`w5gVEho@Y}8f7+B=&p@-
zl#yDst;PE{q<dHBITpsh$tRs#<G;C^L9@cb@2~l1Yxwr=!oufXVyOR`%(vnj9_^!?
z(ZIYqtz!{8dYvuT2KsY5YOEB6yivTHV(#7#nXx^;|L!2D80oVjA{0XCX7vU<GQD;S
z{_#*u_Ky{k_K{VFs{n5y0-8m0%8kM^GH49nQb@{!76dVk4aGVeU16+hT<_UpN5fwn
z{%$X_ylf}#98|i^)8QW$a2(>sBWV#E;~~oo6lEt6`#}Nc=yV5)8CVdQ%b5c?mtJ=l
za*p@KN3U5sXUrK6PS|L)#TZM6s#HN?g|2=Z=*1w$Yh^7<2J1xxr(Ek1x<37Axxp5P
z>LBotuk`|w4<Vp6%VehS){I}#9smN3$&Yi|$PVAc#)2{UeJ$0ez=Y+>4un8hbm#IV
zLyO*|)&AlF-B7~6DyygXQ%-6-{vY#ZBjKj$S2$jf0Zn%S^Xazyl|d`z@nfUe&RL(|
zm5q|VNv%R618&jmxqK@vLa`u{x_%Zm9LpEeHi`G<&k-AgJS4oT%pScgmHXHiJfa`q
zw(yR+l7-8~Dwv-&jRQjEWk2Ay&07{hmdMOJ%8ClUGLC5A6%NAzbVo+5ZFYX@vfdvn
z<}f!VEB8pr)R%IN73veRGomzazJs|>Z)T_=st%7eFuyY1VYlHgxHrYNH|x^Ft=%%l
zVhD6&`XyY<^RIAKy8YLs3>(cQ=1c@TRf@IM_q;WG1$2Rf5JK_5PC|BQU&uAyI<PWL
zyxRzMbF=KS#?+%1Rd7{;F!|}alu5f5G99Hbb>GN|V7PQtF?1N_WB}Kj1k2P7mcD-I
zH18a)<7;%C`8l%mJHzRg#)F<3u8m28*spom#P-2~Y)U<WP4--(VRhRPjzzY>FwF+_
z5R3j(pjl>~hb@99NH(&r#Cn99I1RZ<nhh|7&gnE99p;1)u2Roo#IQ)v8@)Aphz$qj
zk<P5BAl0I0oVE~Di3~%8c1wekwEaw<r*(nrt5=!PcAfMzy@Z)xUV*j{tX)&gDj;(K
zp%&5c(*piqU22Fcg^QC>FTem?7Z=Xns!~DDY=6Us5LOL=)c^+I{VO%ih~#P*nU1sM
z2@+8iDj*xft`Q?%&Tg6ej`vTVW%R}KKWr@NVd6H~aM&|LdDx4iA1AS$gsqD0z$Mp2
zum&%P(#n6UULKS8%5JfXcj2q|^<F0-n}UQ+eFXAx_6~su9(vP}T61!`%=~Qu^RrVk
z$K~5;A#U)E|Fa#j5icbB^o+Ni<>2Q|2Loc&|D)<HgQD!;KTs7Z2|=2rBn3(777$Rn
z5rhRqKw5eM0coVAJEgm8sij-G7nW|8Za6p3?|;tBdE+?a3mv)cD?asI`HvYB{m$HP
z#k^KWyb9f=XMS+@aBi2^*;kQ|P!&Y*4ST)wNj>cOM@1O52je9pmkIRwllbrz58p$6
zcODn%fY<z{X+EXL`t8-_(v{&>;LDb^`fud@+IdsHyyIX|XsJ{``boM=Z+yyDXUNf4
zF=0%O)yW%fX~;Iq-FDkkE0#+F7>EECvi>=}26f2r#U{e72vDe!yGKoe9Tj2n`9Aw@
zT>FY811(EY=^8_*c~gDwo?aF`Gd-9RFLqPshjOmH7|t4<sR+3Deg6H6O+pSypTDg9
zOrhy`zyoE5G|8&5fIRLCvtXp;9cNA=9z1`iBOM@`PxAgCb(QfDVa#h`?1(Tml`6q|
ziJ`$)@GDJ`)FBN*{im`!m4gGZDHBP7m_!R`{T;$4`u^&iFXzvIF~<lKzJLAd@%fhl
z0mNjJkycfIwz_+mF2`PD2r2ts+s)S%O|ZcbAY<ryH_TwSamd?nR=AnZR0iIkdi}CY
zVm-iaNVg7`R=3lY4);em2!R7AfLdi@kt>YQ4&1ZF4Ie;Y*zc`XE>KN<NQHh(W!O}m
zbKxU!2dEKuH36mI_c6;hUb3%LuK~3eOn1q?%zCz=gj4A9_XcV>Z^(D?{DtOyTphcL
zCTDZ=AvN)Zq-Srr1^WPvA#<xuJ!Q%*`o+7*)YnjV$1UHonb|G|a`$}wG8FMdj;rmt
zT)-l*yJU~5qCScYZx%Sgv8t-r$Fyny8pxl9x>UxLYQ1O{05F#3Ux&Gey{wvh@$Sou
z@h`zqf6IM;07<$tZ;L!NmrOKpM_Q8|EvIXnm-VF?av7|^xCgF@=4dztToAE0$#c!(
zdMoaC3crI$N$$-@yi(+1j>gHUKHY%q;=$j;W;5BdP)?RFh%io$y>8u~-hZ>G1O(l;
zSSGjrc=(jEq1wlE>>E8wd(6w}%rGp%z~YSrx?imr2oq*RnARwjE5yvoGID1nMn1oW
ztmnFzTcC+Br3$@-yCpHLZ(8#%?1G%ypkza@V1v#MK$sS7*`fLuTLFaK0>0zN0E?HR
z5tODaGU_;7q9FOTsX2(W6eZPDy;;|%TzdNJWrC}rTR))V{{u*Mte{8agR5k<BLGx6
ziYlTY1^2%M%4{Bz4bh|Vi^qozaIWcl54rY;hcao{vuhtOR}1Z02s$25g^6ZYu$nd{
zoTRO1n2rVW>jDvnk=j_&U925sWp-9N5mAX}x^)Npx4m>GL%^K+AE~0gTM3{QZgu!p
zxkse0C(mHalPM%a#uG)yq;PjydT0U(_rKta89$P}Z=D6M!u)P6Ywdt2hQQapvmlrq
z(M9g~{TG})yj?mEO@#RJmuG>WpUYfH*Va?e(BpkSTu<}u!)T|z%zATokIOFg*q=gK
zLe{@DhA+w@1KnqiK5KXH%BHo+ALPvPn>4t9sGSr}VKTZw?kmD8e5skK6p2=7l5sPJ
z31_6UhLjWV@6SV@B~Cl<*S|ajMj9pln};~dvFy=#UOC@N8x_^RF^dHQ0jUm__JAkm
zc>aZ8un)HMrzk?xP6l~MVu>pt*4OWDnT{@FY8JAho|&2D#vj*Ra-uf;?5#3lz}nmD
z{HBtk?MV_3K8+COi!hM9ZLR@R-}2R@`v50}kfa7lU^=?whMS`uYDz2f02)ZywT2MO
z^!op;q5tvyeiv&~55R&!g6P`Enl_XIXEc)wr_>4g;+^@hk@#|-p9!X_-)NNmoY3)T
z4o+6-Y63IYtM#Fr0G<l5@56xi9S~*^e&Xx@LA+qui<)=TF;xc#pisq2gD0UV%Y&VD
z>re71TCDSI9hhS#u~8g;n1Q={e#B7_uE;=U?L#r}!5FSOhO2-w6}3Zbz#3Xi2VL@p
zR?tDM{Gs@Gfc^@8xbH2|i<L{c%HdVo3qX(hrEByW_N8$rZBK<ZUCGdz49TTm9{!=R
zb;LX@@PnFh=aV7yze6V*!rZ<u0`ykMREBAjK(x+-snMyO@=({<pge;PpwYLT60=Zs
zp<yjjcU|swT-7hnKTB$(?QX$$gS@m}4SR<W<ypHkl{<;DnaQ+Kb&^<PQ9?h-mfztx
zvg!0A5q3Uu>_sz!&uLm;rvW0rw!G*!1dN}qEQP7`oamjTf$o$=v(8j=Q=3}qWGUw~
zrKnRo$`$a;FQPU*jE%w(8^O%e=7zn(ZeFMm$x4tTCk=JB%gfwcUBW`{xDobZkFqp&
zr^$%7@8^8HM%pylp|juW-sUe6*P^VFe%n%k{}qMFo7PE~sk@NHI(1k}%aJLB$tb_m
z8D6c<tZgWfuG`HV6==|noQl-WiecdyaSvUL2Jhc88Gk<IkxPf?qWY$yByaWYje+&I
zP-VPFj6^@Z?pwtA1D~cN#netA{cqCAmYbh3-e#5B3J1I8yd*!d;azK-W__(KR(X(B
zZ#q{IK235y1*ju{XJ$iNpVMZoh8)TLchaYk<KZ=7D+9#3T6ct&3Dxj(Q@p-ZJ2m{F
zgma&+M22dCR=z6Ily;06|AfQAoe9eU!?WZ#;BqflwXIn$`~Z<=sn;Fy_?P09$Ih?X
z-Kt9WUfb9-@1tMCNWTzvszVXM7Ix>;hcv5M-(<c$WS1B5ZQf`b=*SMiN&u(+#tV$r
z5(zOrW*k+@^I3Ta;2pt4goz?da>86p$n&dPxiWp+OMEUIq^E$1^VUR1d!PZhTDguN
zFFAonm8uEF@iQRTmn*C*QhRfhZWwDdX_AVda(AcwT4MKmnwn<?&+1RX&1ZWfH|5fc
zPp2Z>s;_gJOPdU8*Ta4xsm8iNWC&4Dm6JM*!wi(M`Kb7?O}R1dbS;{MqH7jJ81^yl
zZ2nJE8jH~aAU^IvImNSuUR0G4%DiqA{zP5qlN|TshGc`$WFkwYru|#Zt(CdVrk?E?
zEa(SQf}Le5i(MJ3CR)>YZm$C{g#t+e+On<o3@aNptM%vY5SL$}rpEIqXq&xYX#r{2
zv26o!`)rKtboSw+i)i94Fy;UD`u~1+uh_sTuR3VXwo)5=tCgJk2GRa^_L`zxu_Gg^
zCtqWBN!iV*opR*56={h7tTTa5-P%h^RE9a6;zQ~ugz)bU^E$(K+>SVOtH^7<NfUty
z<BN>Cc(>tvRL*Te<xbBMiS!nbOWFPD$jah%AW%MXjSNLi6GXUpPY>(AI|wzB+*Sb6
zt50f1d7sEa^OyMX@c{=1S-L-P<ur=EhB6U6FE5+$BFC_;4%Ou<7%Ur_@!3G~0#D6j
z4gO<I@M(P-V%+hfw(cgcy@Wh(qoHM2)$EL8QU_C0XSxve5zl6U@LM`i^N@h!0o~y(
z;cq;%!*8`4(=T~;DOr$|zIp4(e2xr-qVJ`7(qUr2@+|Wn(rUIEHV+wojtJvk6ZHW4
zBO0&l`jd8G#0fp_OQKj3Ls%_jAxkM!3F#{BU2-L^kQ$0Hu&S(}qH#8=^M7rX#cz69
z!f!gehiu^U%vea$iCT)wAl7riL-#TpLr<Po&<0<}mZ_bPz=+kTV|D;krepv(<rU3m
zl_7N47S1~@2Z$O=ILEdvKN0xNP$8t~l6W3aqk_>L55K~&Hgcqbu~tIAoVoV#&iae0
z=^0{MHF<QtmIh8MLi>o75OBa|fbBF!^jcPg7YBuh_5q?n0xU04so*G;7EMnS9DDq9
z*YGm?{Zzwl?)=$Ga``?<Huzyw6l$3q8LZ^Sqnr0a*r8qJA>$q&Le%$8qEMmD+?SI?
z!FDo8%>)Wkqx!6q5u<g%|7#y`$K;7LKH0&*=Cb>2_)al*i|M6DQ)aAD+jLlT+-qW4
zE3A2UE(X~dw}|hnF!>)NgH2`J9J$>BV&O*|X!xTpYd7f*#^cSk`_lWh@oi<mmH*Iu
zo;fyC5$w6To2(=hn8*lS4xHk>f2YY3)olLtmH}9S3_|0N9{-;&-j|3u%alidxnlB*
z*YqP90Une!(&PS6_c_z8iH>vig>H&Q0=K`%k%+!3`uuz2!@>8iUgM(Q_L|j(WIbs=
zx{vF=0PH^eg;&c4n7{;Ej0t9e^PDTTK7aXKxr^Ug!cp+e;}RW?^@#8Qaw$tp4xz0N
z=}4*vQVER1S$e30*h#+in!Plmzy`Q<O|M|hfO+8AiFSW|B(ik)L+U<&JxSMwTsWg)
z9;S&1M9$WmE&5x#;#kxvZH}rx9fsTC%qbjBwbtNno=xh#GSee8(<eOfEF$8w5Yn&-
z3V2;1jpJHlqu&{M;r9v-2-hEOx0G`LgPDNxsmH&4OYN6USrikuQ>8HGp#-E>i*+N-
z@JDmVWsx7pL9Bn0NF!bEGX`K133*7SjBW#qtxGEP1GxV6`eNx2Sq1Lu7yeqiVb13~
zVx83de2a!Sf2)Q6^`IYM-Gcz^&VF8wa~@UQF2V|y?e9KQfw(gSvEF5ziqK|i80%Tc
z3!w=<f6t}c<$`I|WCj%~Iq|3~r~~#Iz@(`DKq~B@ZUT@A33+eU0P%V;AU3ZeVDQnv
zY%SN;T3iCqfTzm#KXvM^BiPEPOQ*?b*d=MRKCa~o@B0{VT^8`Y<jI-BY#&*=H)kPj
zG(-s$ym8(;B_foQa;ap^`>5kP$~j)<6ZA%s3*2VL1cXjj_y7=oZ3xkb;Yjr7tDg0X
z&oS4lk`T5Ydgv&uNtGVzXh-F;Dr$;P#VDwLLL8<(UV6C3{Nhz%CA+r$YovcS_<q0J
zXK9D}wLFLTC-!Si+^}X~AXpcgO~u+R*ggYC1_+<nz`~pVA)2HfWPkXPc^;Wg%!Jf_
z0HIiOyz^uYda;K35H*aurZ1?c;*i2IXGC8rIP5olG7X&7cJGjt-1%34T1g6g9YqyK
z07vPG?@h2}#pL)x!*TYbXhSevCv(41FU_er#jD2WBqY?OBn2xRKnYX!NG9Wmw&1Aq
z9~QgaKf*vxy&!5RfGz`<9O>b`O7Fa-3LD-1?mK82s87A0BUY?lCCLf@d~?WpqU|1<
z#2{LGY9Yc|p|i<X5Z9(3`UXok@LOBMKgYig->BgE)hoa#@}$exS;}z5g+I2H*9!Lg
zJF2og)=(5@r;oY|(b`Dp@lSI%U1QH+`kSu$R}IY+z3yE<ogP=_AUkU-W9|a<ngaW&
zmo+(WUpS=4XW=&Fk1&#Rwy&5`GzF9Q!h)(OA?*$ks=u+TeCTzQ3KdlN7lgK_R+d*(
zIF!tK8+XC;j^2S%?(>!&s5i&}r_3(T&*k^4UYlmnMx)(%_H4DerOy-E?o~<YEJTQ+
zBkuW3?)W9$%cfh^tPj8T8}T+;3elC#dxbdnr+#@Aw^J(9Ok|M=f5RMOpcQIC@=~>z
z%fEv@%rvmMx+G%>1ph>i`?elYLL_>3N<j>?YAu(5HYAkjVu$*V0qy8-;?+s_M;sSe
zNd;l<8sl1PXz+14z%g9)%u=NcTo1?OLk<BfM6u_<UfxmKQ43%+0`9@0$%TQ~1wi9t
zNhE^2KzORRvn6t(W`QN_6`h0Wg-h65ZB#NVTOW{1f)BNn>GS`j-X{2Pv5{J^Jaxac
znYYU$3U#^DU^37axH9=oO9wUU?*=-Kx*tEgu1KQa1$s|Nv@}FHIFNq_@Y+uWlZf=E
zyj0V_{Q*f@qC@GK0?aXfa!NKXM90YES1k2e;TG7=?dP4{pr?R_1Za-hySxP=<xXW&
zCjS~kSuX1BP2cQ(>gqZk#L7t&kN@_5xM)`<MvH%Es$<41UTf2vCocRKn);x#`EUry
zg&n*DAKv?)qo$6=wlDeGfnl3WxxbZql!6V06?0X+2NhV=TI~3yqZF_Ddw8BQblU&1
zI%eoPjS4t5S64`_3>Zj+P_({x&R6WCvSuq)_6BV}d3Y}zDr&A6VLK5N^>>!JGB8Z4
zBpl~$<=H-w6sI=oNzpvtLn+G3R*ch(j8*;5^q70BY$ZeC93Ze_^8sHoq02NOv!zX6
zrBP#&2J(yO-r9gQ+j8}9b$Ur`heMvWw1%^elEnaafGmZf7_r-whZnct>R!Tbmg|H)
z13FBA4P9!7yF~-#u6X$jgxuVyy&UR`V*Syr$-f}8UTWK5g!|-$cn=UsJ_=ZD3*J3V
z9as9`_^JzX1~^6}A=-FR0=yW%9)BC5;f?;FzSlDQV_-6CDRf}ZuzArIErdL;(6pR)
zx8PEa;iaj7_R+6WZAs(9{YKeOnm>{8Oqwjuy!c<4zzX?s%5uT%sHSb(FGz=`B&Qbf
zx=~N~fGW8if2zA^Z%7=9i(dK!)>8cHHFT5~ntrbn%7h3LhXdKc7k+LKuOGcMeit9`
z;OfK^3gUPhP{=xOr!zve#^;Oh-zVJh0|*99ev?_^R<i8RoE<S?@z#Fv))GSiKDeR<
z4WxnQ`o4_^%m6uuJS}Tt%);7ef`|U^dR^0ZZYFF#+G|o#MoIWLp00qKNsq(XR6W6+
zA*;ZSgpZ)Kx3J~k@OH_#wLU2a0x>bCz6WH<LJ(3j6NgqTgcI1C=zA7F#Jv6!0KH79
zi{JpM=yXd64kVP~K5n;MW%@Dlwbm~gUN;>A+>R~F7S&-pb8$P{NOvwsx=?a<+6*K^
zcmbkf8u)<Rxd;#`udg=61vdUSlVny3-iASTi;lexcvlX2B0?qVIXq{;l_MWB#wu-B
zs1ZXuq7?Pwkbm8zhRBp9_<*0p2OoqX^8EAj<Vjq<w~CL7v1)DVjK(E3Wh#-1GwU9-
z7p?(aar)COIFb~Jk$SXQZ!A0r?%|^&FYc$>Z1Ezf^jDi(r`O;ySZBCIN?JYLu1j$!
z4`?XK2O4Cj!wI57-3F-ms-0h<ZX=RVc??^Tv+eXQfiKNUU)RNDfUg*TsCokvac6<*
z`MSIgEzz|-$^6Sd=ob1e+XP?Bw*N0zxVY%Sl<4?5;l&jA?Iyj(5djO$X0ujetX{fD
z-u+S8D^L5HC$|JoA1nc;cEQZ#g;URhY;^iH-D;;lU8nQDVMd4S(}xYXH%+~{@$C=1
z*zAs3TIj<Zt~6xz`zk8R%{C*H`d-A}?_z8E_JikyAqZje;<z#r*$v3c$zbw_>5R}2
z39JONB<lNyXRqMtZ!6j3&CWtw0Z9fbx)y1YYMP+0N^zGhAKi?FK42CQii`)03oO8|
zC6Jd=kQ%UhFQiD_{Vd63oYZ;S4X@jY3^40Cq{SMr4%O2S1A2-+54H23S=0{Ta)yoC
z<rZC%bvVw5#T4uI%Wu3r9Qm%FsAFxQw#0A));<A_VaQh%7!JjpOKrvBEQE3n!wOn|
zcOVQ(LFfKIsan|zW51tzeoBzN?EY?3r^q9P<u|u|08z23#JX{qpQLmF9aql1@cBaZ
zBihyhvr7LWsm3&)O$QBFGw{zmJ63JR<&kBa<;_8jTWZhI4J50oP1C?r&2=riJg04;
zCOLZmk4-4(xRLwuN+<ZMje}TT%@$Z)B8srK^VwTz4mqrw!ucNXDQRppcoEkByt!_<
z7UV!nv8_Pxg+;>6vMi7z?Pa3tMYF;;ddH{%cYu5<b2@dGb=~{Hbvo`)Z0p+D9Cf4U
z3JB7~?xw@7Zo<PN5hNRYw(es)4pD%6NyP2{UsaE=zBlsg4mm$;0CFZq?8jeuecNt-
zO|E;$FWh01wMp_PkOYgJ_R{i1k>lD7psn7z>!(kh3S>q(<V3kN`?vsXgG|_#go9C~
z2!Dg_ueo+4fn^o<mlF`$7sqo|&cX~;l3XtI2mfZbcGV{}X-Cf=^q;M!c?A-oqXK>I
zKU=3yhG{NP->+>c0KR8cyvQ0l$^Zo>jWEcz+Bd1SE>K_wV!q3+WMxC@o}|L8klzoW
zHuiJ!OS<Uo?WY!k^ib`h2JUKa5-uGX432r-qsnn$)E&OgIZLXxp~S0QDKwnc_r=9%
zU)UtLBU6^+FcL2l@V%&p4opN8H~s6wQcsFMH4GL;QmF_a{8cVL;KKpskF?zss@-*l
zZ{>l{5L~zhSox&*c&iVDcn__9fHT$8-ufyCsxm%j+R6O*9^K|?ALRcQ7zCjSMM3Z_
z^c*nN{(k3auXqmYrymr8I{`M10DS4-7%%y_R91q&ydpb1r=_=o5vf(`RH^L+2k*{B
zHC^HyHBDV&ysZJbeSz92fF%^yJ`2zKHLjIHpJUZf@XAQlpkz%^J+Gi_>DCRFZC5t(
z&%^$x3f4=CE@n)}nbtF9nDjPNDdTd=mt_A}^6k9R0*j;VI<Yk5cTRlJ7R3H}{{13Q
zEWSSCYT7@}m85Vl_esvQY^~V*hwD|obH8vWx#*8t%c9DTO8JeSs>cOx25uo>6lgt|
zsrx_N`0=MfrrmTgZJ(cA`PQ7aRnr+d`_U$mJd0d|{n(&MF+eKM`fQ*EIkpoL!zslu
zTuGjdpWHK7+w1O=s)vfMi!gu6Uj}n*8nA7G3;G*%hZ>e*T<Y$PD*fVV@!^p{QQriY
zsTEDU?#i8(Bg9FbWo~fXD}uyGzUI+VcLTU0;c=Q9>;_Q=kp#wMB0ZD|>o_W7!?r?S
z!RZJ^=XRrEnKiG3RLJ@5yY^9ap}!DI%IDml#pCT*y~$owUFVwJZEOMW-dF?p;QwL7
zyLYtSS0E3_BpAc29ow{~*U$1FL?LKoXTpXutFD_QcUniepFM<oB!t_OW$4L?ey;XR
zzWfCu$G^GF08kChLN4&(Qc_@S=Og_#1;l_5@+)^*3~uI6Qw50Z-p-aAB-3d+7p4gL
zg44X*+)SgS92KHwB0^C`@OS3v$>byJK-(>?AB6ifjLy$|fkN8TP2ID@a6CqqY2Q{M
z1{2Wd1GCn=B*Fq-<NUpm!8R%Q+CtsLhmiSOd%+k*T2^HCn_df!#-$i^(1u)9bP=kE
zwB2ttz|3{{&Z#JsP90oB?V~N+ul9b(%SGzxa6W~%AcwAFyH)jKB-fAm0QHQEXXyoJ
z;gN|XSr#-%`yZ?)Bp|OUA`T#j;W?~DAL)P<V&t-H$s)6X_GsR2Ku%5!(1c=Oq`K@w
z+LUVmasH>cldpQ8*sE!T8h~j9*l)?0phvdTA0O>Nd$dpqhc~6Op=wFY@?~^}wKsWo
zTHM7IH#E<{NaZ0^;Jmh4Y!dRd$+|pT37*}WbP2m4W;OwMqPMY}9anO^)PuM1&p(>D
zUS@%rsc+Xm#k_a7ZK<rZy<S%{bOtb~9?^+7lG_`@+aSCW<4!U<DBpi_YZDcRQ->R4
zmjoJMR01w9z!Le<9FApyJFMhE(W=`n5hy?7cd>pt?-KVk)TK-l35+Hk6z-`>^94T_
z#yP6T8WE*OgndzQ`1Z&p0F&v0lMl?IKWjO`s-8kpM%|?YK##PCY$+0+a2ds(M=@%@
z03dw_T;S4_v9`r@hf=4`24BD<+5oLV2bG`Wz$m-^SON*$PnuWsUp9$rwtVVN>YN`)
zxfJ$Y%<U~)0-X@YbxCl7$Tn#t_U}@$?;S0mN7v9XohDkS{?kbNxZ+HqZIt9kGvZo!
ziY`8UQ9LMVq)@W_^IrAT{Xb`!&()xyIZlI!w2`T$r`8uB_WmU!pZxPrYMw@A)s?L+
z;}aKd$LlfLySm(gfqd$(``oYk4giH=K!XujKOf}>U$J##a*G_3!i^!j^_+C~H>*8=
zS`;ySRqW?sC->HnZPb2w7j;q>l5SG1i|NHuS8SO8z$p9kDP{}S<&}%VsZaZd1v*i@
z9AK~Y>4a?mx7RA`+&%c=!^67hh<DiR!oQ21`H>XsoF?x}6tNl3HW7U_z``}leZrph
zGNHpE*{+5HP2eWC{T%CQP(b_2MDTX(mEz=X0FWA>U|YJzpmFqyMeq@Xt0rX7JOYe(
z8s<t_Ji@Asgn<2l+P${?9cDmFTU_c9-LuzFAneR1&v6ISHdMwPaEGOcJo4GrkI$@w
zEKzJPp@5&mbVu`<1<buB<q^B>Jg)CA1+HdP+<49x*-?SfiFPVgu1+r&{yc8w*&iWC
zR4Wn?DG!L<gPzq*&J?R^+Cp=^X#}DfoxM=+n$g-!&Keinn%)1-HN>61Y$I?I9Q5mq
ziojzj`xST#!!!U{_!93ibmxbvlhW-na0NGI+D@30I(>&XWyte4`nfz2^g$=?Zd>^h
z*tnuU0FX^UT`>oVEhmL~&0o3Ry#12~>?9w|ba>=Z)m{E!2MoCnxdMS<g35B9MSY5Y
z+H4wrzmga}sie&*)*K%-(J0&pIsjW%$Dp{^W1~UcZ%pP4zFIY?9h`y!=y(H1zxche
zEFai0v#a#vY;AyE2bc7d5+TAVBL>ByIGcmFJ-(O%^7;*Q&Km~WH#lI~D<rC?P7!~<
z<Y*Y6<FRY*XP`~+eiqAH#rE|5XKhDPSh;V<Ln?w~lLBKT4^B|cu*z`-n2Q`oBw+(T
zOYRl$;p*B~4@f5Y{u}W(XFby$13wnwXRc}N%iQ1;akrespY;CPqnmf*#?E0sGk8n5
z9_(GGG=D#8V}SfF0MTBGOb2%H7y!GkR7D{dll`-l>y}%C6F3NUUWyxPHP7y`=tqQv
zd;F;WP`iZuQjz8P&4?Reg1?D_WdSxRCE^gV=i-8<KkaRDNgX-%A~Ei9Rkl$%If@|3
z^F_)4srD@y8>maCdOzZ5p)F+cKN?S+PGaRC?-lY_euHBW$pF5?9`8^V=g^Kn{;GVi
zIKiA8qz`q^!aTI|N!pIJ`UTCS%fA9X^p3O1@WzC5$?Q_?GUwg4uhBbQC5?gNvAG6s
zhM@GrkiRiF!V_*29sG_YbaGZx;cUBq@MrSvyZ&`Il@XQgVlWRKrp_7hP)dqA2c{$;
z81%DqH}yUVLG<ZxMbVnF#bHf=pEp0E&6RQozsa<%l(M`CopR^&yb=Ii9`lDzZ@M5C
z*HclpJ>khpo;n7PlSXJ2CJjlkzn#cu-7m1Au-Jd+6fxMGd~6|p-;B3l(AI<cyj*m3
zBn7y&8DQ1805|?I?!>bUzcxY?%W8JoS!6f=m*D=SZ&f9|&M>A$B0kj>?grPSKf|m_
z4-!f0s#lKF6c6GunBhvHO%uL3|Ma#kiQe_ve~+$q>AJoH$)12IJA;^sZ^2~G;%{%=
z#_%$J31vHN_ZPJt@O~L$#})4QA5a2B&nZH-$3#KFCw7d`skRBI?brc7Nbj0YU)$9E
zXp+TK5{S9US+-}`n+cgegXeGfo+Nhe>;ck`lGk<4A2aPj+hw>fm(R*j27L+8LOm)b
zNdnTX=6oKq;&_72Vad+RzdLm`n%jVWKm!|?Kn@eGnfM{QC;C9LF!$n9&;NvXS-DdA
z@w&e3KUcs-gU<qC0T&~H)SM<|CNw*F=$@=-Npe-+(l7uI&IxmW1IRtKpsUmXu1|~L
z{i<Broh^$wk}DCYbX>b1zf&x4k_gNPfI}cU)D1|PL$P+{+LYG!zzOt&9??VpHG?Ye
zzJ3s1`A6Jr0X*K6c=VSL2raycn6-KC=h6$ny^)H-TmPU{VL9T=;@VN3@@W7)=$zQd
zU#nmKu*wK}`v}&57<>`GwB5xKX70_#WaS8|Rm_h%WGuh{{^UI%F|pbS%<d^I>X<om
z4@2g%eyQUL7;afG+|jN33n&oQ1k>*;x$gZU=#sRlGSU<5R{ue6ZTxCj;G2eBd&j>5
z`BMS|B==U?0N(1_qdagi^_X#77SBzr6VMr}oH$<RqF9f2xC~#S-)VA%y8x$Y?!6Nr
z?098)&y~MV4KH;%joILqf^16)t#(}r5Woe~XUP+4FPVT1F~r-v+;nGLqi);8Gkq^!
zZg^epyFsH`U#nJo6QCuqxiendB)Zqdp^LE5Iw^wlVC$gYUzQEEHlte`<#GDiO+Pqg
zGLqm{Q#r>S*{TJKcSqm@|Ea~lphm#x2ePyLpvx5)j{qDVJo*!4C@&T{r)5L{9*+`x
zO7+x8&Os8@<+~j=#ha41+?+XN_+Xk;S@9+z0^D!^6{Ei&|JU9dHdqmCL$3_qWn;22
zzqE<YS+T1r&T`Vn!6b2WKyaD?28c``MPIU=c6q3x`*E7?3Ppryg4|ZegZb59SO>t5
zcFAV&rhrH4HrJeRov%X+D$j*P&i&z?$)qkXTAJ%&|IOXz`(GtnM{9?$NWVb~EIE7p
zXtORY%Z~B7Sz(`^>u&4LA3e`Et!H0&5`S)yO2a_~>}h*`qiJ5~I(l_`?fTlzfdVBJ
zoZ0tB$KqIo?F-I%fIQ7Ub2i897L!`dk=)_ZiDN>V<4tVRMik!m!NEyI02Y)9Bs?4z
zc|sDJ;!TNuU_x<AdzWw&@vdClT@Z<5#$MwYe@xq6z8<M8SfB2zt_~r1_jZ5p<Qz?E
zhW}Qu{5&+(4nQal>l}%Z?2r2E?nGo|<~wRL7*@zhi#ezGW^&Sna{FI70q(H9W^NDl
zvbP5OzoHZ0YU*gSxX!dVR-KPh`nlPDME#^D76)y$`*%EiGA;R}hu6004r80Pa2JDm
zWb{v0S3pN6fIuWW|Mzi<0m4{`p;0+^f&U^_ritgZpiA?giq(>&+-pl<=6RVH_6#Ji
z;4jz(W`=H9f%J-o$=S!$pP;K}=6bpzwtUV287BoM#)lJ7P7LzFKr7IEvr=^D#jbx^
z{!xj6Ry#e-$AH=u&?0gKjRU!O%oC}Rjc(Z4Hg^dF8RrRj<WpUN$QFY!YRqF?p^0TX
zt{ji1{1(9Fk;%IHyX7Sr<n;+EC{#dG+@{O@J4|?O0++q;9~5^Gs!J-$<cU-_?*=fK
zC_Te3iJh^uDPsyLkC~7ks&NxWRr(fvhZ@pd7A|3=Q(AL?59xDOTdn&`-vi0(ZEzL5
zV4!7QMI|c+Ewf{~rFMV4nq(pJ1vW0*s`BMO`$O$ZH;XjJSahNNtOC(`ETaQ$7o~_&
z$CbOfCw3_{=wO#cbTG+X$|yN{SZfE?K>J<8kYg5aXVcaT+D81>ls_r&b1ODIE(=L}
z0JXCx<>9?0o!>?0<gKyRd_)3LrY=Akg98P^PtH7qw=LPb>)Xv>X^8gSa}s-M@CNXB
z6*SN|^5Kl&44@OW@{4?k1NXX?X_zb)x+ee(rv|D%+M}4>^>Jyt(CI4rtv$SqO~Luc
zdpbgw$j<>DSrm_;Lj_<7;^Q<iSQCY-p4an8m)Bx`BnzE<z3xI7wlP+Za*m_gBcE(4
zfoDFct7OPvs*7Gc#JV2)2+LlHcdF~1IuHc9*A}7$$O<1F8NkN|A;;nZR=8)bbT(a}
zx1htGkN?5XN3S{NF*t&CrnVPkhF&R{Pc<CH2>~XJW0g2Kze7ia`#KPL=f$#~LgJvd
zL;W^XE@eOT%TaivaqQTwZ^p)<<m1_Rj*DY4P-Lm*be}G8CwYXj1^0)8QT}B}i8lTf
zivi^J_(K8@WJ7i2Zom~e9G~l}4yXgE6Nk@PxDixOAHQ(!Qj{SA?<sy}cXBZHPhr96
z$j5PA46NpSwt&49lzF=Nr@@8!Rl?-0#Rl&Im-gQnhCXRP|Ja?5e2ofP^QVo!D9gLv
zL4)npwclmac4xc0Ts_l~R3Eu-Lf0`gxI<`)@^p7`c(>qTKtYId(BX@w=&ddf4(I9h
zd3!@F&K8opaDVaVMV$ik01uk%$4?Ac3gOW}UT32_;4RFxIPUp4AQB!JzXH`F91T_B
zAS^b`4)-f(MidHu+e=kr3!lWTKA!8EerxD<5^K>OD+kU}NPw$F0)|z&=RnFXJxu}U
zg^teQ>23}$H_^|EX1~`Q7QF*69*q(Mm#Qc`22B51HvpkSbT&%GQ8($aF6nD%#V;uF
zk8dCRrdOnHE_470i-4tmrt}7O`U?Ei{{|VS$~*)FCso@l?y*1*6$T#{{8u1b4Gi0F
zkr(p^`fQiS<A}k}5O>PTBOjcJ?<hI0k<;MwhgcImmQ_7Gvu|Q0Tcn5DuGoj7F<1f%
zxD?Vbcg}n=R1Ruy<ce!xEz+bzIcM2CUINeoQ)mV9`-T8Y)X05WScti;ZzF-o8`5t!
zA5qQE1Rb$BoryypIf?`|!`&j%c>8E0zo*RIo-eh3BwO&fW>nDw(GH1|bGhTKRn-;#
z8C2xN<z-dZns>G}FpYxmHcqtlyTu?Y`MBS6la!(22q_DX`HGh2o;T)*0o0Dbe=67Q
zY61lxd^QXo7-xKYTG#E-%yQ$MfV>g<u^3tY{YmA<8pGgCCcPx@-!1IfQTX10Xv!!U
zA~?65$SNOu%OOK5Mg85Ww$dJwoe?TefzMLY7^tnBYb)?3WUkkRU{Xa#d~n%<^LS4T
z%Fh&>uM~R#*K7+L;29JJ9-Qnj;9@?LO&YvfExZTBx#t8k-u${$;FLaW#ik<l-bQ&g
z$;&1o>60ZO)RfKfZ6rL$wQzr>npnSR8MxTW;!l7d+wWJZfbxEg98qTP8Kse+o9dCB
zlzsx;%ek7|lQn+AyXl|pR;>=?#)uY6`njxIp#!2DfU$ZFRjob(qUYo-ZHNwTn?3e6
z-{C_23Zh(cSmh7-V9A^aX?$Xg`vX9x_;nR7x-BsT1Zx12FTe&g-VI1diAE{x&m;>L
zWjepr{9D`Qg-O?gr@8Kf$H8uyJSUQ<hk81>Na?QK2E+w;(LIk?3jP^*s?B+o(vEhw
zR6fv5hGI@w@d|KQjnxg6bC*d8f1Pd<gE|ixeL13PL;?0P(X9*>TVNLebf!x?Cv7^8
zc4a9qnk9yPkbD-84c$y<i6xD0Bnf4D->%++CZ>+;KwYZFZR9%c=5oXju$Zo4^&r(k
zikg1JTtfGCuLl0i#(9+$`~n!s?J|EQb(cb(yuY&Dr&XfG&*p6|lDhUrC8ipRsSWtB
zzo5qi*u3~1e&L*Sy%RXsDXNCd`qlYf&ebU57O-(^V2VqpJqEM&`}MuU7hpyW`4L9Q
z9)MN$Tpg+d#ARuLxSwtAUtal%SD=i<xv{-6DpdGIa)jkqrbG(`f`OO5X#2neS8SLQ
z;vD7WnsQz^p+m}q6ba=HxSTJxnt+H9=3sKmyu~E4I_C#}DFfv?)4hQ<o*AHn-1w0Y
zBY+>JAg>pYW}pNy)`+Y_HT|pv@h%r9i5;@L(VvNQVHdFUW*+)i7eYKlh$=Jx`8L`?
zVkaCe;vg|MyS#2g*JLWz;$YIA{a^+wy!`S#rtrDk@}HROH{aDotA4&i<+o-PRKo*A
zp@=)P{|@w4XT5Sfpk^M!^<Eh9b-1RZDkQ_}d{Jgcg4XWgpUao4+BQ(d22w_D9Z=U1
ziuo%DG3YYmfB!%xaXc7E5msam0%Tc#>)1v4P6DtSgb3%b=l6i1KON2)Oy?Uhu5)<t
zkpET3dW!r?s7TJwiOlv$ekwoyh3=bdEvQrwvL)HeOZDf2-Y3)K?e$3Y5LMPtOXoHm
z!?*A^_+Y}};;xrZH5R6yz;lGpfQJiF0eeUJ*?c$_6C#rFzv=&2Fh`@CY$FT(j#+yT
z6)sdZir)_BA0FU`y3W=`V~*M`i~5ouxA=5_IR?{c=8!Zwj?u(Cc?#sMlbf(PUR<C<
z^ArMp1!I`|Z8jcQmPRK=f5H%A5=n13WZKu-UR=@6u~==h?Mm#c5qz)_{zp>fRc9@q
z{(Js{+o?-v=H}=#_12Er?#;-c2jg2Y4mQOorZ~jxB%5$*=%M6nWt96B#ox0Me`~8A
zcxokdl{CGpWnxs&=}<v?7q7$OZKDP1{xQWfi$lKP)%60qu5JExGP`4iIP)ygBL?$2
zdG0G-*DcxQsc$Dc_M>sQ|ER9<s0)We;*YlpjQ?&|yc_)V=cBH1qwQcsbk0AnNgN#^
zx2g1q1F@|)eYVm5(l3SAwq)yHD~J6-{+rKEeZD<%@Svq*1bwTh7@4cO7@2#gc@+8O
z?eeu4^{F}1(tfMQzxGqj%jnU(4`NxZEC<=tf|&xo49lK)g4{}R-nD(at_{|H$#gXX
zIc0C(&;bXr^=Pe&vWuFGh*(itf;vZO^6kU^ew9AQjcc%W%hV2u=(qV7Wj4u6H*@G!
zWQzkW&$k(BU02MKUFKo6L~w^7d^aM-LN|kb5C1iXEOE8SxVj<vFN||}38qdf7r*XJ
zXRFH(y=8o=%3#og0J4#zz9w^AEJT=}uE&HsWHy~E2DdEw^NzU8hZBCR8z%pKs;aNH
z51a(gV4zC3o6#AY_q=>76jo&0z2@--M2rT+M`eUZo<zBN#7qxo0-zF)=@1tZb+D#q
zNtV_oxuk*N_x65U{C2Y8`;guj+d)UM4BH{RZ=!&pBvy)hzl-JK4HfWydpBsx-7_3`
zYwtbeW$lrYG$BIt$#I$%O!$m0@&cK{Kj9b8he*|(GU4mDYhBD*3!w#%hJ5W9BlOh&
z={w#@^qK_IC5z-p6ZdQ)N(@2?=>Sdq1YW4{1|COEM56KKUj_1T7HN%G#PEgLgTLhF
zw=yD(#cd_Vh?os#bjD4n+MEqR9S%o4^Hja_X4>jWKZ`Rqq#%%+V#vI;c81`0y^>Dz
zzReRs(dT;yJ9r0+)ILysEgW30+Bd%yKexN8{Q_S^^jr}9B^#QHi>1tk1nqJ^NKAjk
z!+8G8`+bJW_rxa)+QwyH*O~3QZg;%9KMQvI5775R{5xsN_CA0AdlJk+-G*+F$gR@Z
z9e~Mc7+&43e?1at=RzTbj!R6Hrd@~4r*8As>+bVEmXZB8N`-x0*!Xn1R)x~5pvu$v
zoWzAW5yv+Tj1k&*oDFe!^K&V!MO0bY*t4e<)1YGw1(BRv;q?oEu(B6k6Wp&{aMqDX
zhMwv>t*W^1B14E3-9u`dP0DK&=L=J*KOBDhrd5!vy}J=>e6qv!YB-dce%Rss&j)*~
zEUzMie&X4MRlE?-%S(b>{JYD6DqrFh^S>x3perj-D&>3exh;z82A=OBo}c$qEFh}c
z`YLreyft6r+3$&XaBBHp*70N4#X4!O^M<^Ul}Z1iRD^v8zJD_iZ1(ZOQ+47-yUXKL
zIP3l^5VPFM$dtnuubnznG$h+v|HUNn=vc!7@Y|XP{~kTWN+nCBZdL&oX&i5;b{ML!
zsyK|RI1Culxdlp9ZSiL%I!9EtqRz=C@S%32yeb&FmHGLX)J5s9wZHj=5$*Nw5}VmS
zTi<T4BFTlXH7gg1wBL*@N;f+vEh?g0je44lONx8Bp;h-ZnVa75W~UO~xba~R%$ru$
zRPwqm&8*G7dxi)TgUJuvzb?H^?-UXTViz^`N*<J+B5-0znMnGasT^?mUy6IpfbDfs
zeoCht7e#uh`cW!-i4M0gj|Bb6$vXU4p$6Sy&=fCLpV&?9*cy{-rOE6<HGsPe!mSBh
zgS4MI7RcU=(n?M<ItIa6KRB{7aR5&a5Ww+DF}BwKt#buq9>RJ)GD7iJ5O>2u&j8*O
z(>5{%`kDbclhfo^XFQxKkE&N~svol)TV#AYd3roiP14Fxt!RyBKs)662Y6>!(Hxg=
z4Hbq3C@l!UR>!HJ9a;Nj!%d~t_oGcamakG~ermN{Y4&@G{QGs!k26z|UPmI@RVc&l
zz6W{9i*X@@yf-9(dnPBn0w;~#mTTUtKV>RWtxX5~nroui2!^Y{9VK;fA%}QZn#?tJ
zH+{9WzP%LBD#`hryE^x5;~A_pn*V(tsvK6scUJmWB5z%fwnk)KZ2P%wdO1TKig(PX
zb*Ff@lOy!Q-ac@JcM+{L=2Vs`tW>WxwAV^dMCi?F(tVHLtm!?7F}pHufw&6gy-OCd
zh%U5`vaokme(t5UAWyTvDHGREk1el$&pH6~EMttB*YVAT->G)Kk5=>JiwVCg$}ER`
zRSE;g8wyaPEy8m~S}xtJfKz31gpfa3`@Hr*KbP&iS6RXiez3W^Iwxk#EH=p^CI#^{
z*b~ld(KsimUNQ49S<X!-h+DjVfZsJ$-$;!uo^Ymy9Q8;(dpK&_BBM;z+#%+f6I}20
z(X~FXo#d$tuQu9cf8FI;^7Ztl-!gWih9r-l5FVNLil4`%DY4?1=k%@21DZ|jl5!ys
z|Glmrl&%q-suw>{FeLNvigee}PKdqG*qwKH@PmWBaPX)(YDuMqiD*|lhZE(T;N%Pi
z?jNvTawg$DR(xsf6x>{YG4Q(`BK1~}k9hc+lf87%`12lt<%FcN(Qi(Zo(aZ5r7y4B
z;#-~@&n<Ri_RS#H9S+B`Uo%1x9HZ&DumNI3cJA^^KYmiDn_n@zz+3AEZWJ4XXky%U
z@dP2pl*Sy=9R2^|<K$Oj2C@iucA9mP>~2)Gp!BhQKjLz-Op0W5#2fOv3^4iFTGrbX
zi1D$^zeL16A<%KL`bhX3oxbQw10U>Y4it^Q7BufSk_z=04fso}R#9Of$fGd}F!Z^9
z>;>(JL1Ru@CYl@RyR9yK5?mVIeA=WKcTc<!Ssyi-l%L5kjg=DJPR#J*&yVD1_2Z9;
z<p1X90(pvIONvnj<N8pQ#MP0iIiB0B&)DT#J9Z-dNu0!f1XG|jcByE*`h0#u0am41
zQf=P*In4Ph_o3A?#vwl-W<;LP5ias+)+u^q)1N4KezjA+)5bW=e0})ZH>qjJLa1Rp
zOC&x0QvK;>QV_{oWl*Ym+1{Qh;Nzdb1iC*^<c_+h>32)kfi68e3!Hfq-yZZ6rC#sN
zq*!cM`8Mhl<a19fQ%Nr^fWyViqN3-69faj<KdS$<HX48RjX7n`3LY(DGbH7Sb8Zi3
z9cn`}it-Ls3TOPr8)W~xy;g4Y-(PD>GOPX6ZSqvmhom3*Z^Anh10T2yaG52t-;A4?
zI4ytO4o7M3%dr-ABEIno`^z=Tx}$%j6FSS5xMz4)(rL&SG3WKr(q}Z$DjYXyeNs3=
z@WJJ}$Ap`H+J$7@rk^XbZX!bt-Er{ehcAP9Lww3cik<FYk9nEwsDiSoO}g4_FTTN|
z8xOrLBI^MHV`tQ`Wi1`_1n0hbZF|t&MdTvmfG0SG2GJw0W=zjaPfl*lMR#Ad0#?(f
zs^eoSU`!79NSB#<B=&Q#z9GllrJq{l{R69=b9FIzUQVYRHYY4nMwP0`?)k3L7CX7H
zmUYi|O53W(336TVPTHLsamIgANd;b-Qo1Pra{7`Ko%e>S@^9=SP_BSTfJgJj8!1DB
zFsVwS%cSuFIFgCunQE8NDR^F7#i{%jqTW;5?0C8VDx@MlD}Mbu4p3W9he@RCjSq)p
zUH<$~M#ogbZ2+hE5N9XdUz1H^IDlSOv42i*ANjePVe36J;!2l@l)(VnDCjE;^f$!o
zJ*KVSd$<Z7{MUQ%_paT#gAXW(RB-!d%6T|Q`;@`9=-=_FCH`SlP_jmJi13NqnK~84
zXed}{HxW-(Ei%URtT@08!qnXOkp{{%-R=Ga0mOJbd0l3q1S0MYxj7dK09F|CY%q>L
z^zz@rzoNd<YP6$7*x&RQ^_y5xQ5L9Y9h6pb+`LHIKN+TH6}m@rJb@KQuP#cndNO~O
z9ttL>2TcfEAMg5I{D{0zflOz$c|e9xzAuy>ifI25!@<4&8rt$|UW;kgM(dt|`G5VH
zMn$CtYR!1AU^P4`ENi?jqSWOJsvJDeoI+f+6I;8_8-kP$tl5l?oz@HZL&iC6iu%^I
zj0tS)t%nuK()s+t;{U=UbJwcl*XsInINp+@3+tkN(adeB&`I%zmh(v^(zvmaKW&y&
zVI3=tweRV9o`~`Fm{EMb#WC}h&K5;59oOWUqG7g&i<g=>&n@DFBAIze>AkJF`GBNB
zP+Hhow_5)o8r>mEY9=8LnQ2#srh(a-zNeynXgubhztp_$L1Z_i><*^n1<h3hL8G$X
z;*pd^4<k1vWm~7BdyN5iX)w>IQ~eUp^SmrAFFdI7sg6*}-xBgP?YFFV)^pBdh&uiA
z!e^Tw>poFC_u77R#eCQAGurxI!S7I{C0!%Fr(me-Xw>Nn+Nh^A=_{~;+Wl#ienD6Q
zHu4=W(<|S{+4Yl|Q*&*NdAU>DLZDR1rUsU!4E1sM;q!TWmxKUlOSM_|t|IO%1_s|a
zk9{kxh#T!jmt*-w<hDkIK2Qa96F@1K1D*GC#V;h99NOV?1XSpS^Y26wl0iE&DYX$<
z_fYxh)wCn6#oesUb*`>N?cg7&w^^Lq+N#GTV@-7f2Y+}O{7ob1r`J@qIrP7c=D=Hz
zN)NHR?bMTi3>+s}1r-NJDe$TE8^1^r3}DMZ0{I~eK>PM{ePwMX5)GaE8HW@*@CtBo
zJNu4%{d82IN>u>|`cbZlg~yM?C&?R$_WYPC3`s?OT)5Y?X|!1H@wbNEHNTYFGfm^I
zfOhXy!<(y3$pc^9tCMY;9Go5icGZ+iMnmU~j@&eyhctZ@bEwl-g-`z|rMW76lQVFQ
z0|g0yY$J5M>xebuKdEw0I5UbLSxL|~%!>J+VU?Fa+WWBn*IEf*>3ml?xv?JTKi}J}
z2ybG`g6K>c@V>P9==z`m-<)3iQN%T<7`gI{(L5)Z@@<2){p_wRu%y?v6YoEBmR)f_
z|0&UPx<+`e8d`svZgTZdT%E%aR(*CdHs(@!^TBIW_=$Oux{zT5z361{OIT%|E}XB*
z{k*{@{(=t+?h#kk{?^jX<hr@i7A4)=ae=OM^2c4vxuK3Yn^$dlmg-o-VzhGd^$(Y!
zJVMQAvx<-LRItz)bhBBGO;#-UX4JXI-+G<>n^c_#gJ3TU9^pif#pYJ#qKFfrpJ`t~
zAs%<fSr>a(D`s`Bb!=#L&Q?m9sp`yZ&HGXbGkn;!YrOKuy5Aax)W}hkj<YJ5F9Sr*
z4trikSss7CF-#%Uj}JWQGr2Sn_#Mz~a~e1zKiYZ%JOAp)a;khcc{wmDNEBt_`qO-V
z+IDU_(Z%2Sc(KCmr_ADd8IaOa!GQ+`YA<7$`cv0W8t9GX*&mfK@ln5cQb-SuyzxhF
zxa!Vks_vL_S!Ctan4gh(uuvwWh;g*Mz(J+{h0ueh^iR7fhK2liubd#Sl1P^#)|2yW
zRv$O+ub;j=1)p_X{~?|a4)^?%A-}IpmlPobk-~KCXmQ^2g`(rZBWEG{Afxa9YpJ_l
z^_YjJm<-S-t|%WNiUZf>)hjrxYbN7NX!}Va(tQFsz#EMV!`tk0c5Tb48CW`Q*+KAR
zzX`Jgvm2xg0|E!wM(H2VNi>1{Sy!Lehrb!1zVul-*$E)YtT=FSLuSjYM2=#1CnZEP
zHn`g_s%i7MVbiZ~6H5T~un?X|)RLVriI$A~N@J-#&Io-uCpYq<emg8`l>p3h(gYxo
zV+y&Sns&>*>j+7d$3QPWA%^?4kXmgW|6hd~(bU%rynk4%<;CUeG9nHzpI&rRwMoA1
zd+#yuqiAfbNMA*G8t3%)eX~uU>rbZBK$i*b8`ro>$(<toxr*yeDuO@f^?pj%3`~b(
zpM?Sy$}8SaQGYl9MQ)CnHr;2Pn8oYxZC>0bQU}lI&#I5|D=cB2ksrE`WKM$(o0H!)
zzr3j|g?k9MUQ@a&7oLEFcj9;U%xcdNwo?*=%f}-(f4GFhoX<@3D{jD!M0rAAFyog_
zivG&Xty|xSy=j%SCB3xD+#Wv_<+$oHz8<Q^BZ*CPD~QA%M&LK83Fqxhv|3YIm{VA=
zd1$9D(GHo%0!Pi?p^R;7Y~Wy1vSy#BBek}T&%LS4KJo*N5iXF|OEbD^j`Gb+W!b1D
z+{l<}W>?9L5Fa!)NrGcm^qrfkO$6;fJp|&n@d2e^!4)ioe1^aQp3+u<@P9m5RR0Lc
z({dVztNLmOe$z`#&^@O-Rv5!ps75y*D@wLk-qKG%u5it{G0w>vV1na%i1G|xoiOh=
z)34oW#kpqFi^_B}#eqZJs>p-qdV~gx2&}~YbKd{uNjC-A`T?x}6W46uk>Rm!EI$$q
z+aH)5!x;$)x`|d}wfe8}^av4R&$RtNsSgmuAS>sq17HUJKjk1zIHG@KAOMK5$Oktj
zfM){*s-SYh>g#5%#qAa(3azrhcC{w=CrWm`v9`#uR$0(-P)xXXP(4nR9M;s4%gG|6
zlpfhn)bwxbkQd}|lRxUx*?bYTwx}%m9`bucd(i|o?w87IhMJO`qq9|H>lqTN)%P<8
zWZ3k72h{7aom#TG$~y(o1k%V7&oo~4u%@XY`4(G~o9#@4wleXF>@2j;t)ke8CgJbC
zPgZi&`csz6s4_Yy%y8dbW*8fka?HOukNg^1YEUoHx)YWolH}1<mSiTy`mEiYk@E!i
z!sGIuSf8=<O8iD!e6!5+zKQAENj~OCPAkdzmJJPed*$gJ>y48T_z0y2{U@yHaDk)3
zb;;Ju;IhhK?)={1Zknbnb#e?I*Hk><-ba$TE&PpNC{T8DVoq>qV05#Do<yijCu*E!
zpqS&Y`G~><x4EF=7Zj#RBa$D`pZulV;HdtBz7gx_&AR^Gz&Q{vTk3TkT~)t%Ufi((
z4Rll%BBi%xaQR)}H<2d|^gV>m52@xge)>YN$_zUjzW(XesEE?Ll!|}Pb<xt1=Ju{u
zQKUdF<FxQ7-?=2RQY2GgKPxB%L`lr}z_RwBn&_@RTucaHhSd}q>#Ge1u|SjL#bX}I
z3r4=f(&@wlLsO({!lp6(E_m?4jSn&SU<w1PbF|;c0QP*c=Bome)JvzU*es3e(+t!t
z&!V5?9v{+vn~%_k{e3_Fjy&WIyqR^yWymo*^*tmz4XHK{4BYHh{iXoie+Ac+KsOsG
z-ANzM3Uu@t<D0SVnb9`y$>82}ogH~L4D5LhsGs=d4@E(q1=V+)@I_^ab>ZPFxLDCM
zN;kpTGj$1Cw{6qKUE7t#4j|kajrR+oD5F!E&bYa%z2(X93jr6ZCD|oNay4Z=O_lLE
zky%UBF#7)n=_63J^#73c-r-dL|NnTUlq4YuSy|a+W+owy5i-j$ipWag9FCE!B$2(z
z%$6CB(Xsc=JcncNbIfD=KJ@;)U$6J?`dwGo)jyT1=kxivKW_KixZnFLE(j78WY|?Z
zTbK`i@9(yTevxrte3QH46*bJ;<q-MarZ}54M&y#laTa&<^XSB93isX`W5`_Jd=v?0
zeB`sOq-Fm+a8}WEz!Z_2Nt<Z*O0NuW_NJ}Snl-aO-k>yDz^@!4r6;x<8)_5(`ens9
zD>^J|Dt2AnCtwa4uSXyb@(5nHOM88JICu1dELpTm+D3U(ne}GqPlP~*g+_5(XI41+
z@}GsYn6-ZGQ+}+m_+#~Na$)Uz-mFMma0?4kWL6l-elSIWDT){+pGO|H&z}b~8+%W<
z4`3@J0~p7TZYI>V?oK*M-t;@4;WWO#*r$^tM{n*NMEOT-yO|Ad({E3nUl=wU>v++*
zQI=SVim!=Rnv9(MSkRw7BvrdQ04arymzG*=+TPY6!J;Eg#4$zV@H%IR=9Pmj;=^gC
zLEWkG+=fmPPUHa<`tw;ETI4JKAyoXT(S`=1#lE%QivlYZ#D6nmFq_^(88%$}g_vSI
z0G1pe{)pKjWrQD*^N<3gH4F!Z=<O(+^*eRp{1dRgg%KmbS5uveh7+C)Iq1~IEUOm)
zT=nSzZvVpd1(m+{9-Kk;eJYEl^}n|l);5|X2%|$ItZIx0RG4EiOd$ovzB;uhhhIk|
ziTZ5;iB5HPE@32;V2T=tsMRLknh1^7;e0H>VDhoV#wZ{zs@x+RcDiO+__uXE`z)Ay
z&2HXBRx6NhTJ9?9{{Wa(%VG3eRJrX;$(yx=9GiK&@bY}eAEMw0k8`}%P6--#IX7~8
z2pejctvYJVu`R9H+LK+QP$Nn`b&rT0;HN58?Hza?U_{*M0V@AWdm|;b60(vx#Fsf%
zhqO-LKm!7d{}5N?A{hRfNN(GH^u>xVsV&_%!C<tAt62V%#Tyn8@Xe^vGP6bzvxd@@
z*s;5sqxZG%s3|fPubYa?CtQyAON+r*1%{Je!3DA)&33>A60C=U)YSYkTBl=zVWBmb
z3K`jNX7znOxKw<+BIL3Ymf&?~=R?%Fjoi-~9-IetUuYuus1&O@=-~`3(!;GHU<Xz&
z+)FIhyVz8O_6#FaRa||14l9$L5BCQDI+|$^DLv}2T%#T1q|#ZZ-B|tN)A(wVC5rw)
z4-_N?B3IU6yt!(1G@je;)rYT={z-47PIBDe)_!<jdvD2>LY$ze82z)Zr(iW!cZafj
zd?l@_<`snDH=O*zmb@>)CN%mkx;npDct6m3r=PL9DyWh7awPt)bL>rHJ>3dLN7-Z_
z=s_IY1C1!L;*{St73Ee0e#l6!!v9?m%r_QaaXB$UO~y)K18Rpy2S#kd_Pk>F*!;G`
zbrWY(*=jqc3Z8&@T><4}aWc_iuH`MGSLDy<NPcZOxP25^^XEP8*}PnONw7jp;3xN?
zzlfjHiF#1v=4sxq=mCBKt8l6XheJHlt+5~hA*Wt>ZpR&Ky2Zy46L<f`n<>S2cC-_X
zr9ovDTYIZjClOHxE<e@bM0WXz>-*j1A<O;m%^$iST*1LePdH0knZEfFo+~1V&fw>7
zA7nuG%a!P6PU)8i8A6k$?)}1Aa)aLnjNBDlYwk@OQ*HwB0mwF9(%penS&gmQFI8L7
zvXr%Z&XuSM<th>blGzMtFfh7E14`GS_IrIfDzf{5jC|KO6}ZB=_YDv@jjaDyJfpL>
zgd(t5^IQQ0EAZxzeTI!m$(H5i>WU8xe&SI?O3jf2&;6G2MJyT3S*Nd+57#8ZHf49~
zm9>9gui&D#vSG@5DrQ2paiZV)KtI$;H;#YJO;sax-Q}K8bD4GT9j6@V1s7W3LiJ;d
zr^0cr=dg;JOXb;BdF}KW1W=ZnWHb?N4L5FJG=er04L9Co(j0$yy-8IFab1*JD}DXS
zqGiMLGHlQ21X=fz=C7vk_r)^gJ;fSt8(ohJMotgoql5J_*SS@_m-zB{XVE<V*Gq2R
z?%KAE?aHNMz3$iFKQ1vcC^!){$${v-dsre8WOly46sQ8f%3M`MD^;9bz4Xx`k(n)R
z{nK++@nL;zoz{^u%Q<%aF35p8x<s8Nn!%WcX+h1j0BpIQe?$Kr%SWDl8qKkgjy)0Q
z*ww7t(U+<*c5<&)sS>w_6taBrZtjL%ea~h?VlH^TqJ{SjoSl>7{)V7(5H`X1k<LpJ
z?yU_4`MP}N{VF}+GGP~Ke3QfYOilu#QbyyG{`F_lU%uhZUuAD!@XWnivTeNcq0+&6
zycTS#$}^6x^s;nyXu&*ngR_R>83AZZ!uwNhDlwf=h~GJp-$-1+m}u6H<{;>zyfO*>
zEfzOJdwj8SoeDfl<{?~@ZC0ksS6?(MSfsUjvcX25%v6Z{&~7Al+>Y)>O|Gm-{eJcb
z1T@rLCuzra&$UirKq_}REw)okG^5HxcJPoIg)n{kKAGAfSre8>Wy)$dFap`$UiZ<7
zBfsogXEU`{dav&=d!Y10GxU?E(zdRcUb_j#v6ne6@^qDLqVoXfvS;)7-^2O%-Ya70
zpXQE<uqx}{UX`}yvK{NM=2uPkpRC*4pbKlvq;fOz(X+2zF4PeHsg?YSEzB>p{!s}X
zj{|_);hPX#KOu}+{V;b^9&l<|k^#@--{)@gk15p4k1@@`O2%KI7BWB*m4P)s&af#R
zvN9$jWY+zhttwVzBty-+Y_ZBZ2pTr7cDQzbqx&Y6gCLo^F}+eq&k@3nM8H+Q?->@n
z#1q)(edYVF{95XPV9@F-?rRH+#usPo;q;2K(6@16dGmoPJs0UpMquXF5h>6YbAR}+
z50jTIl&bv9(C@5!_(h*2BNphdGwj(v`v(mkbib|Lx>w>d6^nVG2E-1oU9bZu3AvXU
z$8c!PirlkIZy13ehi&=rY%+p{;Rx?@^bV%X4o^uO>RCW<x?P@CGc()#J)*;}Et;Kc
z5mGzp+dv7u@<x`+7dGO0vz4B~SNwt<(&QoZ3(PUgI6iZ7KEy**AhSwmCCHOsP12-Q
zif8KG%GF**rZ!#f`CfPSxIeG;2_vGm0~iHjQG!9F)g#x_fszZ|)I#>Cpxr42J?E!(
zNSWHTG|WNrRSEqJYscxE_UgNJ<0BP8q%_H~lwF4mMH?T_2;aY|p8}UJ947vm7FLNa
z@8#2Y!hwNK&=Z8`OZFTR_;{%E+i=dC+UeB@qqyBK-AXkzCj!37LET7;=ioybWZkue
zPFEzpBM<4!IRjy!y;{owLczN??`JZOBuE7G+E3Gt_}%t2on5rm*O@}zn_JL6i8+e0
zm@936EYQ9z+O_tQA<obb^I#Q|Qp4P(b{YE4vqE5mcDOXV4Mrut?|f(>TD|yPM+J^<
z?4+L7K2_meRrdELEcy;_cyg~cxiTXup1?g&f}j|R&Hb*2waa)bwj}kD^t2A%&vr&Q
zt5)Y2jYd4<sb_~dUL_kj%9q&EGqn6D!lw~M!Kz-z-&9sitj>Dy38}^erLymaxc$}{
zM2uZ2d@X==4oJi&`KQd6^~z&HDKN|<e=kuP-dVC3Zve|h2ZEzQfRa%9@dc%$a$=h2
z!l@*7Eq4DZmW=zXnGb$Qk7FTmXk~Wzb;aQ!vxC7EhkJI&<LjScj<UjZz2(T#E`GWn
zcb2opzK%zd_t3DhByy>>dubhvNq-<p_Gs(eyY|Nc<SA^)t(p*piY^7rTxI9Qu}z)P
zw-MwYkpNAm!iGS*HOYilFfrL0e|7TJ__Nz2ZlnRq@h@8De8l2{TOTiZL=>xnc)Xnz
zTo(WX<>~Pg{={;m9hBYt{CYdIdOf=E(QhGi+ufIJMq32?(YI3QE}5l7$a8>qY%eDr
zN(kT2U9H#_xhAH2eQ=>nbzsGhgi_XeDgFSVqNlCSzjK7)^7`P?9FYzc(Ack$_HpwB
zEs#_el)Q@@5HTZFkb~XnI5Gc9y<0oQTwN!Lu9`GhvU~(+UiZMSpslO`ygyg6tETE!
zDeTUYprY+(#~sMa8O*m0cJ!~;*VYEBo2@+%!)q%|$F5upi3W7KMv+5A!4u0z;N~Mm
zz53$jHvz=g3RPV5lU`j(8Ktm~RD1Lw#<8&I^}9VYm=3;?s2HDBNR7)JI=+N;w)c(1
z+uv?@bjIia5$C=711?`e=_S!aD$LU{I8jVLua|x>i31C+_)|!2TMvB4D)7NItm422
zd=l_`v4~-2s4!Q^-{_4795BQ&qTWY}kp-JHZ}n;QTSj-%^6Ctpa?d4msmbcJR`SnB
z6GX2`_}^n*ceWyS=jxJs46nA!IlEJ7*xKBZrY0<Rxh}sFWde8nIoE2ntCCL&X>?HZ
zoRC~Ck!hpLj<`n>!v9>S2U>o;4b_)X#g@<g7uHwrPZFgRG1Zjqhma)foEo~w3(j1^
zjPFO6o2QRK;CAT^g>5ve)*0n5raPPNx$OFQHh#Y?=qzqU$8&kPWL$7RIC`^CB`kX(
z`gvkccK6KS>?Cj3=WpLud(A!Hc*twSmns=f{;=*FyX?P4WGg)BLvaqc9Stxc>7deH
zDV#YbSG4!%OQi+-<=K%ZpLU=33j_~*vSc%oeyttnq1+N3vq7WTXtBosvT)USE_rS=
znlxPClPitl1ka=HHDyEbpbfNy<Mg(HwcAJD47~1Wb(=UT6Ilm+=QPlYk9=Y1bG~OA
zfO<#&p1q8I1ZQQLYqa7K<k1N`h5jF1;h7<({svI%eThZEqEiDD1cBrB*zb&3+m(t5
zsJX6Qp@0?+YBA>UTkM+Ix^SX-X+qd9K`w`JkPOxv`%4%{e%6;RSJrOjeR!`?Z_S8+
zeC0k8PViBL=W~~W3$oJr(qe`ePc=P{rcJ-gR01%^(ypv~?J@2Q^_b3F`ltPv)LPuI
zA1RAoU{t*vy&f$doJ2No6c9^MT|7BBE;ypyZ<sjAeVQdEr{RxSX@qE>W_Qm&TVQ6_
zvuJrTFax=7{_1Evq?pmA)lZ<KR|li+e7&2?mMP1+8v5cKCkER75WQmAL)_d|3S%iF
z8n{{+q*fpB2j*DRA)cx0k=e($v=7mo+gL!#u67LWs=O)X@eLJkzj`RII?tA|Q-pvw
zD8Pv>xU4Z*=ACNvQF`3&z&X83xq{PY!PRQJwvrUCU*3u(dV0VJ3t2|LlxfDKE?9`q
zW&?={f@5a^f9$k-=5YA!?jxm-5;D*v&k~UtE&cp4iFzlE$$D{oXb{rTnN-SMzuc;z
zHq!b9q@bbp!C_)uKuaT*6FKYo9l+Vi^=5j>R{AyhE*7xK<my?k0ls%lYHUX6@KoZS
zV=Mg!J*21QI4(=5#F%Ii{)QH^aHpDW*5nqa35pNBFVGB4O|z0qtd~{9C3ad-Lb;|7
z31Ct;jtwwb7iY=9+%LLWzm)l>Wz)x*2KF7xk+o8lN@r}nnpS(y$Mnl~89iCmZm)Gc
z*eYU$w#Gy}#QKwmzps{E-yQX@rR#ekiC@k8fY6QjZ0Rye+&cgxap*PLa4~AFPu)vq
z-bnc1Q=69RkfpGdQ$*wU-}{rfmqd5O)#m06XwNO31%hqN(Sm>j9q7kbK7;Xf?y_TA
zh1O9>?jF0S<|hMzCA@QbDz}<y0hAR_=Nb+gFrTv~DZZJorB>u{__ifQ!NQ2vWJIL8
zBCm9J9bGK6?Sft&E!}4|?#Ub~Q@Mf9jI@VY<1*W37O*?78`sr|{*?EXS)@qyk$)^}
zN|`mSu1d`-0y@ln5&>sizoayKzSb1>66(;x@%h4^vM<Pc?)!^5f=eF-14~!bYdNr|
zh9^^1w>kM5Lm5|8L`Ta!G_!7%ZPTrDkPY-H(oYJO1bgH9{m(O@e$c!$aWW&=-j0er
zRyqoO!2;%(Hf@5DfvD<-;AATCV99cV#eevUPlbwunHW#RFrZE_Emug**pP)Z-|S8e
zQ1@AjCUu-5Qmk;poeUJ;c#vOvPJ9^+fiJm!0FWE>E4NTV##JRgnq>l>0&S8!Qwe<2
z(CEyY$n4b;o<qF#<wMJWDu(6rxfc+KK<A3_%;s*x_^Ot#&9|p^$KMX45A!!mF4({E
zxmjXb9cPWAe}xL_?zPdXNmvIU*#{%%w&hq{`tt!Z@?Svv>8g}NusaG7(|^p5VZU-N
zknVSHH+n6KqOCf(V+>>0@x$(+#j^FE(g>HK+0qUwn|IUf*-sp&BhusCfp<(>m+@dg
zR4Iy%RYl<t+=!KSo1Dv0(P;t!wyGttF!`z#%i+vRgx!ph;hqFPDhcu9L}ceH8t?K&
zV=SGN&AhRAKOvBq_X39Wqc`5aB%LWeVtxQjXViXh19OiRDXATi^!5#>af2J7HOA(Z
zm1nxvfM;RG-sez+R$~pXhLVqOf9LZ#0zk!1KNZJI4?fbo?8)b$+I|;Ma_q=kM;+*f
zsA0?Srqr%#sj+4*9dtr{j3d{CD^SlffyLwz|54GxftQWMl}G^&kZPxn^h};GO>hu2
z(u518MGorhwh~48I{#ANbW>6?J2F-s1&}P5ug~(tS{5XI&$XWM&p0rD8khH`zF@h6
z3&9YFs?e=d)$XBYOB9&J-0N_Y+(QOjlp6Rn?>Ww2(G&%Jgy5Q8E8#v^ZTFqd1Fy`n
zM`tX&q9y0rdF<MKF1OD1s^4N?vM$|8Ah1IWM;(1@?){~A{^C`QAE@r<Y2M)Kw#rV9
zL8?LNO4P!_kHe)$b$*r?&XH}kb6^4um&==KERx=))=fu}`KarD_Fuha4M2*^VY?tU
zL(e3A5+YngrrsP9y~$Kc9b^(UoEwMHKr*`Avt!D9+g#k^tvE^k)dExMD#qZucApr!
zoqBuB-t6iZ#wx21!t8ZUMHZ&n_C<-vzGovQd$+BJ5X?vuu+cGA{DmLk93@78#o^)&
zFx`;^=llMm1L4qBxy4x0Pu(!zc6M-H8-k0xixGH)abRDni?nEN#b3H*Y}uz+hSxRB
zs->zhHxcjaxL^5sOnR1swlLYCykq;d9GF9t5;1SZiTv)11jSR?nB#67zB|lvgA<J3
z>Q0&Ot(ZO*YF!!9EL6LzC0yufeT^J>AVp0sK*KR3=p|IAG$gXdkZjZ+KKJgF_A}<0
zdq)FlD50@zn!zRM8E8WCK{y{;KCn(9jg)b5F7&Y;I~*JIs;k+KzOZh1o{;tN@wNqS
z&Pg*_-G_@WPU)@STJyN_pk106RIz2Y`n_u)fT2-8_0g{$g*cmvH_*ylyN*>{F8iT+
zxZDRZiJUG>@zQ%$GZ{;U(E10+Tu6NCmsp{69&2%)|M@OKrek@-5n9?(WB-bL|5H)$
zw5gKQW>oN84#uujR70Xnp=4P}9TJ(!lBFB<ESz3IMbV3#<H?>?f<a{Bv+!hQbymH}
z?Te0Xp1H_bJL<Se;em{@+!yhBarjkC5hd0iY5%4VEvOYGf4I+YOP4rq$;nd5JC%ZC
z1MFv9&cSbHWXnrX%X}d4hOaPh{QXF~p4)Skk_)%T4z3OwF<_D51z43~t2%Wq#Pgkn
zw8QADzw|%v(fGE}1cjaQdc9SMqUBK!`IeqSx`YcUZm+TlU{H0-&%8EV@)P0E*`8@<
zf&RQp^|EkdmJ&l`d-fL1d;#Ycq72W{yoZ&k1g8;4K~f02Q}Jh~mvi|Vh9uJC#^f^V
zthUp*!*YvFlztEK)4jUKhNr@xVXVn`VlXEYOU68Vi5{mfjZ`k*7#lp^mFGQrnh`Uw
zE&0}J3p88Z3!Ep<>L0M~Wi6`DNh!$1rPQy%sL>;-L1f5?adSwaao`CoSzz{<dp6B6
zS~rlQ$V0Ob^O6!shR?aW0A~7CGN1Qht0gT!=)R{$wYzf%-EQjtxh=qNlHbqj=LJ-U
zQ@%xNOjmlqOwzXHA8d!V>29aURyeT)PFvs2X?z+Z*1!Af)rGBhBk(fozUorCfE=v>
z?NI`6wPJgA_ir%~S0i^vJ?))_^tcH*o|2cZvNtxjFIv-O-KRg^Fc5u8a4%J`(Km={
z@mP$qMy-s+m<jPK70@eXCFhEdP@h=kEE8d6xO~N5=n_86053vmp3D;6P<6`@WWY`Q
z*8A2#m+LD(hK4f`Li<YiX~#SfhVfsY!vq3<4L2RhF{0}@G=jfnvNpB#!-qzD2FWrb
z9o?|TqxbV{V<%RGZ8=WK6-AUe022c?%}{Rof58(24K1RKHSUVT<3~^rK@x{^%mRsl
zc1Xs9o9I#)QV;zOkgII7-&edIInsT#+Wk^29Q*p)v)3Y(sdXp0pyBt4)8xmJ(VmfX
z?7qVqeDwfn{yu*1$Wem&z8=pIu`MlsS`7*)c6+A3dMHQF=_Zv~Jh6{)E*%1qf33M@
zm_sf+IpPoVdI`5XBh-SK1Q@^^vJ^+{v{Hr@9X4IsjtyK@4PUE|@I3nWvYX{zMT%Yp
z3+(~`?@9c1CCY&qZjT#-(-wR#wM&2LG+1VhGV6%vc(ZE3vt@s`XLp@ZBo=wkx}@4-
zsIv5Ue*N`w=5)a_B0uc;9PH&QiJtwC&FVni(TOpnTzm1SQyNa`*A;DzJsos|`Nz%t
z`NrN-`vvjYeKF;W=oXh_3c(wg8+x0;XK*3uA&UM5@{k>CQMEx?1Tot9+Bab-^2b$h
zJke=+yI_NaAW<NVXyGtUOY6qIR^T(_n+`&y2aR+#)fxDbo`^$)3xdMIXY#Z7ivfjP
zq3(g+De<w~BmJ33^$zZ;XJN9)**6Yg9mp^klT-ypW-~jaQ(-<RoN={98z)z=WZA*P
zQ$y-}nzy4epIpWWiNJvaR{qoTl~hts`}jMFUB5n>t(U&0>`G^VTjvP(&zu}|+&uw!
z5O}7ZkiH>C(LX%%`<)rLm06J@h{~RV?aQ^R4KPbZJ)4dFkLe}*feRM{1D#zN25M^l
z$ouIku*PNUgFEgEPYpt^J`yIkl$PkK(t?o*B|HZ~93cO+zbU^*nS3*`O|weZQ?5Xw
z%%Vtim73+B)8_P!+66;*$u~Oe#cIz^WN)4OtsQrvXT#zc@vh|Y^`C)uGxch_OE=4_
zgiPwMzZm}7rjl2Su^WgMG23k@{ZjxJ-!G6y8|`gs8F`#v!p6H9hwW<Gd77(V&k~Ei
z{pbF4BbUk$`Ib>e&!BpbvJ^4H=Sp(7VJNWkg2$$%1P?I@4Y`P_Cf`ib01>0UQo?$S
zjjylp%G(zu5b=5Qck#}z#?nbigLl@2j&4TVw+b1gSsi3?6H-65{BrXH|G)L=TQ!>^
zcl?=E>U5(F$8?2PpU$k{#oo7cklaN^sNz_WmoJ^QaEs2^QVI+g;B_?MtYSY#r-qiI
zn^mp|f3JZY0Pk!~tI17A`qCbu)1B!F65y@xe$Vm8czZ?-(bD@Xr_L-n0M<<8EB@Fw
zdi^qr9!l?UkrH#h`l<tif=C8!c27aGcjs66N#Ea=Xq)cvqpeE`rzDg;w~mar3l0+H
z`)qV!hPpB?wlf|DH~>MJMMG*+pV8PI<{`A>07l~b>;bRnNM9_w*K_3rQ0VT8sGx5f
zy0_*w#nMH5{@W9zq}^LB61|FF7ov{Ru5(q%D&vV8?9x5ndC)Zt$eM;u{kTp2IU?Jg
z{O;o#5u)Q7S^<?B<2ax>6)xu5^om@Uys6Z)SUW9El&JEy6z0)f;&-?|t+1lx)LLfo
zFm+&&k$i*WFv;GOq|gS9+-v*P?X!Yi;b1#0mK$?DGMAMxd)l!_Y9pULn`~K5{}2i3
z*fbNUyc~!x4i%>y;qM>Zw6~Ugl7V{}RmOEabKZoQtXk>d8hW}Sazk5|>txG|Vzc0r
z&I$ZTP_Mm?MLjSwGZn&K!BMR>U~ZU{qA%wj&=W;AIZ|S8G<u)Ufo`dLNc~;f*Fr6U
z_3@wr&*%Qk#zS5Y!L~{kKP3J6Unu4KSTgom8H}osvlYtbiU?N5Dv~5G0JI9Q$%asQ
z%#844Jtc<88~I(;dN-`qVj>v!MRui2jb>wZy3xO5dR9K*DxZOW2G?<a%<o*zQW`lw
z30KDfOwNga&|QE0?(J$rB8OLCS}+}!><JI%18jzj6zi8_$rkBBv&lX0kN@Ln(0Uk|
zH!tAZ?eFnxq$gKt3&G&iL`0_Fge=)VJ$e>;+ay6ZcX_egj9?#PtTQ(0q)}ga7yI)W
zh;w8ZyVU{Nti$#4*D0*W1GJBE^9BBc6)C+Wu{GMi@Ra|5;Atv=rvS@mpfuHg7dV$(
zZjqW{wrV+Ck`Gw!njLpjU-97($`T{QC4`(TBelYko`uI7M0#W$oezXHt8)ViyvcYd
zVxKNbDIxyis(t4#F}`b^Xpz1ol*F!U1FC4sF6ezjtDCn9!o2gnAzqcGQ0{X^#BZ<H
zzR}xf!o?*NLi>t9hszS}V*SE}KV{eJ?!mP@wPKv)I}a5jjvy3-D(M+QSRS0Ec4sb5
zT2#q@AbwK4HWncl%x|&kh8<1)cD)lVfKli1_;i@>5ECV~_P4zg#FC{25H134OwyHg
zw1NI2>QKEE0VfyOnGN$J3E??dHqcy8rY2a;7)LE=qdLU!igJB3nAc!IToSP80VM;>
zypwQv2z)9~4qw;@Z={chSQmZTG}LBv|ETdjTg8Ji`2+Ku>Xsb$5pEftsdNz)H@<7*
z77~T(TRy&odt6<b#N)k(4>+fQd^YonizoTDe#JlLCGY~irWS4KF(X+D)^w_tn-blF
zG3ses1D%`xuGZ*fXvwcXeBGjI#x*vUG%PtYK@Bzj>u&1r`-1wn{ZSVURTFsmzDoo>
zPfRw5L}X2~d=-q$1lV$vuRlzq(_Pdhqb;{#DkcTGZA8kZN*7csNnHIa3AahU@IpLA
zCP+4|U?rTkt<n<uqUD|a>O0I8fh8jFDoA~YvjS71s)?qt7RgUW`J1Y(q~}YvuXmHn
z(Aq+B+JH28a(C8@+L5Xq*BqVR)UIRBW>CRo0h&!UiL%85fBq$&csTaqusF`&E)b5`
zU=aOPR~e~TkEO1>PJ|^Boh4(zCX!HN6N$mkiq4ZVyYlAbJSr%$QnI|v-ZDH?NyOv^
zN3_#W{{xYPSedm_n0qvScev#7ua*(@kh714)K|O_+&(Nw-i0;LV_T}2m#C+eTDh&p
zRbju5Q<HmgPXR5yFi`uVLoSFr012>vy-GIsbNSpFOM>`C-->}$_rb$$Tlr~SYd55H
z;`8vDgVF20H2)k326eNAd>||vj&Pa|i#L0C^4*rqqe>4l%xNpL{=U&_H8mk9WlaT*
ztN0R|XW{N>)%)G*sd#j4uIC7MNTj&{y|#HGGmvtVKd(v{j)^{y(`#>$ofMDkii?sD
zXkTS;q)cDI+@EQ#rI+ol4va0f>G}XgsdORfBbL{>>TvXr-^nmtacHE(OzEP*n&@n6
z+(@bTuetRPaQHFLNM1OsKRb={&U>4mFIZU%`ebue`wjPBH`N5)#q=nS^dodT4@>S#
zDTPrAs4MBCBn*kO?jL5X53SbeEG~cMx9^BoDtDEX`g9TOl2L}EDFB%TUQ7S-4SRaP
z`s1$Mz?cGq^*Ee0pIX4OjLkci5+k&LFI0RH*8e4N?LC_3s!NtWz7%b{FxSRKPUOe5
zBYP$r+-RjY02K3?DT82zhO+{CMVSZV5gJ|EMaG6@7uKyQ$$<uBf|16~b?SkGYrUVU
zlcCfZNjy&uvOm1%Pey2jj-(<2YNwpTKh4`OV`X0PU>X#lLCd75T%a1Bc<p<g?k>tF
z@UmAJmseSM)V(A}82?XO_87EfptT6{CQXBCkDFkMT!&o}Uv!gE<{;(kdF;MG-r#;+
zsk3WTckWZ5tNcQHp7<6q;S<>AIxG_HG9+yq3B=igc1Or$<1#Wm?x>ENsS&adpc-7|
zjs0^K087(y<ZYM)U6qS+qt#70j$qgUk%Fy4`dh=6R=<<KUyHdAFP(fLwBP-a&E8+M
z_!uQM*LNv$i?JlL%kusqd6D<9Pl!fkGsi7|7`iqH-u=num-VdTNsw|h=`R|;Y!H_a
zAaNCHG8AV*2UByV<-S0&$v_kCx<kht)_3ji15o#P>uUJ8Etwo9SQ>?(`xuuNh9_pp
zeV}TK{LPA_u%02~#>zwm)07wyF0v!7WZVi6&fYI7zIpOZe|-?Jl%RrJEPYK#u*!5)
z3~5Q)P$t^pr2wc9<Uh{MlJR0?=ER^w31X|E;(!QCGE@&SUPJtNl<L^!p=bFzL~*D2
z$CG@TL@G9LxcGy@5&3U2j|+5F9yk;#RtDgS8=7sj(uacp{zn(UZ}80N^Caba5+nc5
zsCicFe*CR<-}9CSqTlNX@L`P5YTuY>Mrh<{v$La8bnlF*<*rA}YI6$A)!n|Vqq#1o
zVVZf&-j`%?A3SxD5+bs==Hl+S%Y2mESvCp0bC!-qK%A3{eBdQr#l#6|=*zSKDZEB%
zB26PD$%rV=l{(?>G8yYmC*&{tM@9z1=9-R;`kUahypIhIH9uTpM$X8yBjs}}4~a|?
z5l)?=_px_qP3|;bdc%oH4FG*}pJKkHJ$~b%g1IwBK=H*yhJI_cL1VQ}BupWSk#(k}
zRd887r>%ev{s!8gZyOUmtUlPhGAiiHgqtp_zY6$bf8=*I<W};Rv(Lf*t!}?^ad0%5
znNpaGUdgYh=i%z_<5f7e_6Ea}oMtSF<6<W)agSZ%SMiL{4@fOFIBR1w0>mr>4ZF^h
zy~(UKl}z!in3NrPsjEFGWvWFm8mbgvY>Kj+Sh=T!sNy>o$*3GI&th>nM}m{37jSEJ
z)pi2D?o4T-W37oyJL56$PnQ3p^8Y(53U<j|Z!m(D!(EV-FV@3r!teWp+TJvOHSUS(
zEAbX82=W)3c_Y1^8`RuQ#@gK2cyo0k!Eof2<eK>jgaaX{S{@@)#S&i(9b$7gjM`MY
z!3p_|Mg)~eM2-T>gLr#!0Zmp@t2R|`amn-a9^!F~S}mjTVE6ZmpO(Lux@<C=oEs(%
z)MleMfXN+spXmlN=;ni_-2nx-VK@Cx-)LF%WPK2mWD7?k;1n%$2iTfNANVp!T9dfJ
z2St6$jfK%+!y!PhB{j#mQmpqQ)KRDTtLx5O<i>No7C<PC8sJtK7IDgcfvGok1N4Z;
zuovX9Jm?E3irzfFfR!=Lf1m;~tY7f!KS6snOD2gGg>&}OZbN2nj-BZ4Pf^ygTqa=i
zZ^Ivb)d;h&d8A2q)k_6FKz|jmPF{dQ6c>^20v5O%gLfi*VUr^Lp)|SU1&iQDvRjs=
zUvC??(NdXwmQ3{)Fjtg0LF8J%bWgs+2=cN|d;uDl;Cvz-o(wnc42jMHI<($t55@nF
zr2w6Fdsr=ExL#4F@)vpGYqaW}YO9b~v4)J$=xe-5>Z@B8L3rPh`xIS+`yHPo-NnfY
z_=pB-U=7oE6%pG;PMjXjW3w=K$D+v*!$NER<$EeQ?En`yw-12u+rqPjw>HJV;FDfx
zq1rC&4UCmKiVZ2cW=<i>p0rHBhXo$hi7(A?8*2>Sv&}WuAK6W@JZ`}~ei1D9Yjz15
z>c;+T(vmiFe6rC0mG{kxXg=(@1x?VWWc|i!X0<A<C~8hfP-JErsnHkS9T)3^v~|@)
zn|nvL1RLLB1`fc#oM#5X=kvM5z!(hHoQ+=4fRmHCDm;Ym>|OiSQefZvz3QG?6|j5p
zs>+WKH`^y$!|tfZ8zrSgVPwip3T4xNUg^3F&;U?lXQ?nyx$YI*Leni{^KL~S{tIuL
z9BfYY>m!i`cdzO9z0LpzbmPWldN@4}iW(Oh-3Ng(pqdzWDtn#M$-IO}{qd@3FroP$
z0b0W>ApZlb!2m;;6Mi1`r)~*z)z87EYwGuP^O8R~?!x=KfmQ6)x|_=T=-VW?s)%R<
z&L?^8H99BEdU0;*Np88@_AbvI6(<LVsR~7+YMY$3lUthJ+bU)1nJf?&WK?^g5nLru
zw&x<Q*tFmK)|M1@OED3IwsT!(&7?MJTuB-u`8|h>(`(8;E2R8461a~$H}LCi97u0e
zwftQq_8r6{dQ0g#)<P$a^KJ~Du{JLF_j<I^9R}mUe!&H3$A`S!d4e*5|4R5b{#)$8
zJp~*;NDh^+-!`aTaS4S*bRK+!Q5E)`%Fo-!s^`*Jcg&-k3H>Pnkmq8hJE31|;IYgv
zY1Wb%MOx`y$OYn=De`^A;T?}taHLnIW@SvdVlTAP$BJRn+~6Uku63Glq47jPxHIr>
zlZ`FVD85+621jRU@-6jw0!7>ko&Hj(dgcpp-+5rRd;ko7rZ<3_<f|+SA<~M7iI^7{
zdOg0gW&XiNH)!$?;QlCT3-B$!&?X<y3KSRz1q?K(xFydt?#Sq-m1VR_pPk;HYh~Z{
zPYvq>qhF^w_~$0CL6YryKmQMclmCn0G^McY?8p1$!fGAHsxMW(P40RcS?CPr#;H!~
z4p`RegGiNX|7o^+Yj)>JzJ&0ZCNh&H!$VmEe^zM!Fgyz_xeymwY&2E_^K6)%5G>)$
zTD-+N=1k<Kbqho|V~+a03+FW}Rxj#xo|HX}SPxN$*Xf3fgIF1gUKK^(#t2ABj25S7
z`(mm~=L3-{35j_+TF2np+g|a9sncPf5ViL<%(XV>P_uB?`QWh5l_u+ru)&r7h)E_3
zndO3{x7RBxf+a|jFODIee6B65e4v4XImAYbcRC4;)wqSPyatSeIu)=>Lf~0veN?a-
zN@^|kaYv}*rPl%r<!#ooTbIl>8+IwLdC9ztxIjg87C)i_$vIHF27QNfu5)9XOryW_
zeb~XbSG@r^8F=GK`o924W~gU(u15@y|JQKCdT$j;eZ_(828QU(;rHwXfjnB{_z}+_
zhF>eh!*t~>{W;ZV?L>{G;n6F)WTsUi7dajAx$-CAE&u`+_&))P6o|(sD~>KN91lcY
zmmMr(L8mfSo8{1KvUH2s5c<&T&Y$G!Uto0F7|FP3ScN>YCVj2&R87rucq4wo;`e`B
zIw_2dvoFm1fygo)-Fq8HFK8;o@Q-(TIvG}vhkuZoGv4ALManVCH6FX3J<e?dF1g&=
zsjk_MQPGA?4yBr#=;`kH@#@M0dpRNjhKtQTU`xgd%^=eRHH#XcN+a-$u4`AMurjwd
zi47jYiOK~1{P2wJ&DGKm=4cgte5Xr0{9^D>$}O8AJ`i+ic{&w|z7ASNA9*+{7%g<>
zUIoEzk7Y4o$FBbvUE(dyW*1bh6@yV6rzZ;r=wkmGk$-v(Z;gciG~eIwjG5(3t8OQ#
zxV}oWOwZ?036!x#;V_?cp70`zVSh)*L=q(qO(7}0EPvk5f4+&iF3cQuP2c7MZTab8
zT3%z$3k_%JmoHvrF-)xLnh3pTM+G?^ztrtkD)N>SnbeasEw8z>@t6ZkiUCZh-dKDp
zfGNw^hB&K`xra@xkoI`;d-x(?`JYY$E*e0Wmip?G-HZ=lkpr#)0Y0oVaJ1crQCz#{
zvU5G8O1XK$=$boC*~_3bhs>%HDb+%V4*$(}jvq>506g-nUd4zyzRBZd)rfMb7OBar
zrmJb}kFvAwDE(#e)}CG_T~iXF`8E2YM734g`_&_|S?;N?=ja6v`cfIsxa#hJQtH3=
z4+RA7EDV(y+l@Z};8_1NT;EsXhoJ=%n=#CJ?^;q@w#7BOw$2$!%nx7WH}JZyyEY7c
zreVenlQ;;n;3`NQ=75*!oY966Es;aC%I|z037)Bm0{0l^F00%2X%?{rsnGsw|5SZX
zHBj`wg}{Kp**xCB_Xc$Nr?GJ5FmHjT<$`j!4SIUpk4=Y)Kck9t5zE=>o>;AC(&_%Q
zjli0e7eBB~SJXz351J+Pe=)FLc6NNHt!_U(b7$hRPLi8?_rfzd-qm|{PsIsc+jK9g
z{6duO%&VO%2zMGrH~q3&wHbs2*F;><;VcZ-kN~>blOZ@W@_fP1%RXy#`W#PgS?rM%
zdYzYECc!OEGfRrpN=VlVenxEaf0;5WMc77Y)PL`4aLRl4Bl)`6sc|>~P$o1ixCFs{
zRkKZ#UtmX#UfkE4n!GhQj!6lOrVtdZzB=n%GHf@Ev5?$lM6lrPjad1AJW%r$e-#>y
zxqs8bm&RyA>HJw&a7@t(P6(ng#d5nbn_b2z@Xa&z=*A<^Y|f!xZ705M&J~AqZbR5I
zMx}&m9@!!TIFN@DI9bqEoc%p|Z{V;$)7NQiky(w+D<Los---ie5`j3^S13qH92Zt`
zYbL0qdzKS`lId600?q<@F1ESJjv04XhyI5~F23o4x#}yP0Ja(%qgJlJ)J;D3;=t%v
zeQhnzM<?15RXe2BCd%K!%t1bBdqi}t>VsTYZ>xp*W@6t+<j!Ye>{f9p=Os{F4Y*DV
z+Yy07gj3H11|Id`$gCqRPl9~-FX&Le6k1qPytQ^Z)r)RRnTVrRwzV2(^@<8}E@~Q(
z|F=;P7Tm@aoFfZP)=S3;xc}FU&8HX~&B}wCSsNR2(-MaB8BFdxlA6>Ye45k)_81lW
z_nSSB>>pWMx~nK9NU&=}IU0w#<R00pz#_XveMtl=joiw=VC+N$;k*7~Ob9-SgkV_1
z?fYlYaw1eb6}U0&kmn6ez<#)fX2c8Bp-gLTyb)?btVYYp(3b=Vve3TVP1>G4d)^WU
zwRiEXiFp4G&@;3mj?Ty{5a=5!iK9{l1{&9pM{x3@4bNP10ZC4aYENH6zV%cB^G4nW
zAKZF)7FkbjwA?tDWdr!B1}MWn$KfF-1YD!vG~qtMFcACk@2gOxShElI2zfxWz*a5J
z>&Zs*Qcv8+r|Zj5^z>B7-jc)<*AA3{z4#YW8(}p$6Q?n<7te+bh{u$mdfPJ9lN`a}
z_=0wLom{(WPP;tVD^?hl-q@zSE*_M7m{gMpml7+CHBPJS(s^%_>H5W~i&QoohZLyT
zce;Uji3L^ZJD_|p!9az<zk^+*gmNcBq~`CWj<XCiU#ev-&@w7!bR;8}61u|p-X<W?
zCvE*3=dvDVAoYwF@l&C>S_w2yF9EOHtSaAO>7co%4OTRsDP&+GD^N$W@!7@pj?Ipa
z+4a%iMbST^|66^&UprGx*ytTVFp0MY7It?m=<fR5Bj|vs6sFQQn$rhXam?Rl2mVZ-
z*cqU?Pw%k!F-~Yi*FOfo9<4ZJttA#x`_~ilq*0t6qLWBJAIUI|SjGB9{M(FezXW<D
zKn(n-AQSONS8xX>7Y?J@VJ@q86J2TkxIc}Fc_T!DsYm?i8LspvH?t8Wd7ot5veCVL
zL&x~kD&>3!sZHj$OI`78!)5K60bOC^88A?bDL)IJ6m(+$%r`xO0~s_g;xt9Y2t7U`
zJCRzx)8lC#mJoX#x$-T!U(E)mV<OO0Cl1IHh<Bpw+3b^2m@N~QOky^e7ga4GS@nZm
zIY5c#a?1~g=%`{LOw%7UR*|f1dl~QI^eV}~!&u>^Jzt!(sot%c>|Y$3#~I8^(RbIu
zBL`_|aaCO3vPquwT2Jwp;)0x|NXPjLfNHyfBRn>_a&}qjXuz|ggep9Qb~jT$d8xEk
z^J>(x&8{T8w34HQI4`N(O~&^N1AeM77{Gim7SP$0#GyjbJGn`=G+T<Vz1`a%xQN+>
z<m5ktH4hc}01D=ggNLmA|H)@u<O0gZ=7#+<C6Q`c6ygUa=r`XC)qDGqT!NKc*<5OV
zpJ>1Ez}B;&y&}aU*wFE9U;&N;A}_=};k^!6vL(T%*WTl9^z<mR*dkrsnxTHF*G8B$
zU0(o%9R7TH&-B{L8ogm{=|YAxWEOqj5@(i#>^%yg6#=tJo{RHOiJLw~^d1?OhNrxC
zy4giwMP8eAMkXtbySi^T!r={2c!gJt84sR9*OXiWi@xj{5&#Ri?ppV%+Iy{;e)a0E
zkPK4IeCwM?@sIogk&Ptk7dJS7{0%nj_ytz*;7+-ljNQ)0Yi*XUij6)$rYA%>TM!wy
z1#jm7GZr@91wV&=0=ru&rk-R+AGah=bJQRY7BoQ>ioljR(}1^y6!MfKa8^L!yvp|m
z{{D|hxrtyJh3AE}Ku1sggivV(k(-%6^L-QZJ|&5Ds&E9E2`AFz9VP{AJ|%HgsFWZU
z{V{rK2B6^&k~i0-u;>t&j|v>PWy-P-?0oSqe-hd>Z`Ky9{<OIV95kLS^@tnTW8zuh
zQgq`}b+QyudcIxMk#n;qUnV{oo_l1Lz{?7T0^rK+_J#SoQ{+cT|HsS^-sBk!1;VH)
z%=j7~_E;}AksZ0H3^iTkZgW4eD$ZMu{NpX@{1TAljX4uGVY4gRj6k};<phYg1GggE
z!yUtKN5;-8Zv&e9160=I98Y|HS6U_+H{2dpK_zhQHgTR>z0IQ)+&XUkmD?LLW%?zs
zt-+ejh#O=ucJSSv4+lW33m71@5h10^l4mXQ;T#?6LC+Q|I`jPRj?I<+o7Y@Ho#C2p
zRMl~a!~}m!2XTwuy`JK2PK99q3?VlaW&LM8nbhy0@4mqt=#WxCF)_HetSA*NZVRSK
zD18iwUh8CR`j5@2s8IgfV>r>&?D4JKrre&eB>iZ}4ZhRjPbL$FTj*yCI7(>wOK^&A
zR7`^kVv!G5P=ohD1Q{{iaU~a4u}!tcD~v1rYsvIrj-Jy@nW?Y<rJM0K-rh!t1xc8h
zTgouj?HK<9YSQv+sT<IL_@Qlu|CFSHPxD}<WqfA7jsl#(WE}sydqQ(S_9SQ=m-=&O
zk}J|V1=`2#4vhl(gKpezF0V{B$6<1NKppjK^MFKN(R}%P2>sDiJ0>vxg(O^2^L5bv
z?Rn3;=U@!<a6+TC=aH(R=Pp(FPnB={d~Rt%V<5u9@-q_uB)1@$8x?dDU+fYJ)JPH>
z#Rk9YdTXj)^$+=RK+5%JX6u!{&D|2X$#MGP(?ERTXV;2$oJlzTC9ox$J9S}6O`>*U
zt0tb$XD~SFw(z;3pX;$vHaWa?psyLXVrl3|w&{3#8-@4~3?|qNdt9|eYN^7r&SGSL
z!!ADH#w2wG)au<}No4`*cb?Rn0wnu1ibxQHuM?SXpu_-Gy(x7TsvzFs0xT^`Aa!&D
zbM6raOcgm~cBo^$=UdTJuzN`~cgX;RkqekrcFQw6a>kV5M2py_ww}i3j#r}b)K(k|
zD!&cSFMuY!*W_z{1A|1WYX`tF|5zWcIKlr?+Tg{KI3wOnv7g<x3st`>TGX(s(^b}H
z!L}-NC0ndw`*#iXIWBj3kP)e;(uAB8xWSFvtNG_Shi(Kos2u1TwmVy^8u=6<32hK`
zZr_8Q)j02GJHfL0xXz<2>vk7IB;*J=_(N(Y-ZIrT+7BsbK6MFI9e`J|G(LVtf%$N=
zroravRc`E1l~O<=D{GKZ4%Uxl?P#j?2+!jIvsYenRvEj*5~3tNd9O_^G_wgJv|PjA
zvzH}VZI{=u;YlgL6R#&$GYaccCJ(k!l)8qMxmUrIPXho-dZ_b^3^y3UA}|6E;q`b-
z0WIAw{o(}5n+^)0*xIxPlbKOwMp^+Uks{}|SEU05##8~L1A((%+*G;@#_FZa7fQJL
zn9gLZ-X_Ts3eU4-*}%&(TGhjct88X0+H665q0sN5X!t<t`L8zRKf33Rx6TF$`7*IW
zbdB8fU2Ji%)rWBT|332GkTbK%CW%AQhW%|4hrM{b5-}Eisd}|EWMGxW|FobhCGpxW
zn$!>0gS0QI9p<s~(9{i9?CGFnS~%iv@+v>oi9FP_=yqTqc|*f9H)$88xBaI!2`;?c
z%j@1qeKIPVsgIkea*W<J4_c3y85lfjF7O_nYy)_Y613KlAjPG06)SUpJcG{VzG?LC
zECaM2Q5vK$=DOB;RMakO&^NjFeAI&y-Fd9I*CVRc-qoLX#yyF!Ya{_Np3jp2pUB^_
zjX{pbEVxyuCy^1+g@f%muo-mxIPNQWT4XO%_)pIAdDb(*s;Ho^;L0b)k~QX}lfUD^
zFm2=Anwtu_`2%&VI^P-j;OSS;uq!z5rFYz|ZO@co&Ug?ZhWP>9e5D)Lr8K!`gTJQC
z-?#z&Q{Uk-li^!oG_<M-Ut*~uyNO-f)tceo#LqePR6gpa{VfMFNfL(b5eT?z%LXpW
z*}A3bV3cw90>wY_jimhFf&(4|(iw4Ub$ztX9{Pe4ac`VmBe&A|lw_nIlH{kTc^|h@
z3c37MQ@C8WW^CeAZPZ{7$p(bBIN#)_?+6;YP;GVD^>nV8Q!tF6&hSVL4Q}-`Scn!8
zPWrlwW&6qEY{{v{;p_XSzr4?8v4G-zp2y_!Pz^+Mnl5u4t<~Ht^@v$u>}%?Izd8ld
zF&Fd-a>1hRrlXb9mcS*Ix=3^lw^|j)0&A114pX_R$;zZzI^<n^pG#o|f#)3vLJ-T0
zvrPOQjm1rZODOzaA6T*hp0PMqMtb&G2qje}?FdBk@h24;10OZsy+Y+W{;1u)a^^JH
zd*lkZeo+w6P{4%SoC!Hi<V0kyhU5Z4ZY6PSAg`Dksa~V!oUA@G8BCC3gywFxTq#tP
z*L*^d?sH0@e%nn#Ir9p*vLiqUjz{V%xs;2D0SB4uKi~F^#nAsg;#J@1Dn~-pL~!~>
z0r}>1Vl^AAXEua*I4<y`G0nyW9ffs(T?opo3bsG_Xp(!Yq=#hChFJx5lf1RMQLe`A
zK>}@iz#;<zGoYK&w>}$#^D%l(Gm=lW1XV04L!byZcOt(0bN%4Z<#z+(Vk~PR5pIbM
zdEUC|FdtRcElLSRA=HpThj{+4lsQr&tBrzSpYVd97=C&lX(f2S{72ehU$^}LU@(b|
zH35O?Nx^QytNQg@=H$JODsD*Nw+v`_7REDTM-2^}9j2SH6?KXINI!wS07IHb3h=(e
z2f#q(E8ivOX4BhNv_Tw&XY^`%0LJ@JZz?fj$y|6a4oTSDyz=4uZ!1HmjD=2z@7gC<
z4o`X`;3$X>Xi3ooBQugS<bTOm9CWnbZVVz@8t6sn3+uu`;N(!}e3ok8$V;s?R^<8B
zX2^zpi1WGZ;g5F6;)1G@3mOS`2xDLbYT@dLo?K6Xy<yuq>3@s*;^n`MEWolCZ>=RJ
zTP7f|0-gt1v?y0c`K0yVrZ788N4w@SOT71#N7=#BrMrJH5Qf_KE6t;tN;QadL{*92
z=ys8=n{g-b{~f2TLd|v8CnFz#1GX|fn;!RKbUY{O8x5U~0I6%pvkYJ*dQ4tu?RuB;
z%@P=h;Eyk6fD^3Dtl;*qZqS4W^unFY9!tsHzaL^;(>Nmav4HI;>k|0fz4%p6DnG!!
zfA9h%cHWiCO(p^wAdozlsOxjR>30y=ypxForix3VKn_v(6ANxpabGcTm>$9#l;Cyb
zuF;tvRpB<eWYM3sf06((fCZ9l^oJHXDT?<@#NYktJDf}r(DZi(2!Jk3c>H?e#7q6H
zm5XxJZvnX=l3F?LpNIs?N^L>yRaLl@9k-B5z{zo+51dOb%eWTAzeXL8s>$I0(!Iwq
zsO!(q<NSly*41Z@^w{MtUOKu0er}0*mq)_)TgFw1F*<dBYVsFd<2FT3<Jgv}B4E|i
z7?Yt&an<{UkbZMEu53+Go`a+sI)vzQuPMC%*Km(lJp*DbJy?J??RefVB;pdirJP!i
zM?xym!RIfSnYhZtPk(wwpQ<-AA0@@UcQ2<8)eBV4Elo@2zX-mXH%lhP#;4|cTBGZI
z4;=7U1oESlZB$E4vR%os8Ek}HR40vk4AULx?dALAvn~<MsskWNXM9iXq%xHLc^rjF
z7zHaNI5Mr{ia=TIV*W`mqNBXj-fSQqEm1S7%1~=%{kG6hdPR@mA36Q3V)BA~VFvuV
z_7i3S%Gw}~XQtvgBn}cr8@1xZ^qWd_AgMx=f1Ok2#{)q~e?NTj`37B7rWJ3=@1XEh
zu1=3$J$Ef%>}nyZ6s2!LTzI|bh;i0}mOpO4hw8TlMY0=w$Ytk?eouEGKE={Sqh4R7
z6yrzp*Tstsu1~RSf8~S4TG%1moc9+lCcLqrA_i*(h#MNlts6YxQhcAGr1MCkThw5Z
zg5i0Z<L@wqus-RD_Ggx|tcEA(>t4bC+yNI7Z~hnWs8b&@-9_?_XY{0!|6G6thk~y^
z*doPlvGT~y;@wcgiuSrFMYK-%Da@kV+4^cfUw?gt-j15tQboR6PmOrDhv2B(l=MO+
zLD*?3dG?FVAuek{E);dhDec;=4{s49__S>lp2r<orCfTm?R3bZx&mB#))@>}93-yb
zPK*e$>aHK>z@`_J)Vn7r2y3Epb`Q;KsgUjQK~UwuHE^2o;Sj=d3dU|(IKH#BrmJ#l
zY`YIKq9B0_79)P?knD+~ATbG6$?<`WPmc-mJH!Z`qD$9JD6WiTymS%)sI$`k9EzS9
zb*Qj$LNN!VNLtDD1IlZl;(+u!fWgGG>@KFAP?BXukW4$}&`f)~8x}e#J)uFvwOw%C
zY^Lcx-%8<?GeX0f2O6xPK;keWgUp)vd!}$gK5>R9hz#(=ce)<GsJKjtQK*<+yZe0m
zos6aJjN<s-bRKXIf&tEe>xbzST3cA|2#a9<&4kHi{uS!Y*pMgiVTRf}-BvjxOkkKw
z`AUe}f`?G|cJC^k#=FeJzCXzO*`?cZx}uW~w?F`onaq8F(&pXzv)LEnS<r8reFi7x
zInKWn?AF;epaVyoX~#3AGXtHgmu1#x53QTMyZ5d8H>^KLHNtjqrE3j0leRqLoHtVw
z4bI<1niW=nrvD;n2+r8Bda%2_RjRRc&iJVfji>_Yves}fKGhQLS>!QoXIV1)TAp$q
zc?lWxF&)@{3IcyERypcMJxYrYu#5zzFr$!(aiuCj?4g%fK4j$<ZcIFi80D$}YS$NF
znFoW_{6q0d34mWXqxXK=BAcmYR&s|BoY`6gv>Jh$C7PJm<mQHd-trPPn5C+hULseT
z!TGp~Z49JOWDcpm1Jove)&dk!0a+LbKjSa8e)<xM7%@awa8NMvSa&Ce8r|41ZnuOh
z&-T3awi`t8X|_PK@^Xvrs!QK3?YMt#>0a{x^tWdtN}P?3id&`w3r0?@R7>R6G7@0+
ziF>Ycbh}Qg?4`pS*8YMf4HJko%!31MLJqQGS3ZbWsj-H89+M4^F^G(Rn&7D3UB^F%
zcDNM@8{X;MPKhlQlm%43updnI9YbTT4SPK-dW~}Jdrb=~@+(0H%U51v`2Way^FS!q
zzkmFcN{iu?WSLOeLiS~{wg|^gNXRH_h{-x*PiiD2`%aQwWRJN~jeX5J)?w`XjD6>K
zIiGVr&-eK~{ZW6#%ynP)`~BM9*VT3rsT0Z#Zb={>hZ4K*Vd$vb0{{dyy40y&_aWd)
z4}NVv?6gKqVfk$D1e3~O$J-~LzkDxh{XX8qq@tQ94(5vDchxD6j@tK*24v_8O1kn<
zM}DZ!R`vNJmZD7-+^VHq85dMbl{Cae;)&)lwu;hSi>FVhiEr#2z9Lt5z~01W{U!6t
z^Q&DUZ2<mRHA>ELZ8>O^XsXjxoc4a~(86>i*@#${=i_+GyOw15gtqMKm&c!KTpcAL
z$NbAHF_5De<m`C02U^Q~5YR+<J$dkz6f*S5YLsFT)Aub0;o*`I)nx2XSM;X!>cuUs
z6ANAoQ`ro1$)v@;)CTWNaq17nig};ppqw9((<7XyZzPRBo8aa5;~?zTM>XPu$8|Vo
zII5LKC=9Bl5cOqg7fFhtRJ8jK#i=EXEvekR<f0+k0q>3ClKF9QpOwJM)d|<(w@cY~
zozEzVQ~mLuKQFI6-}?F#+<%4JPWwseBBX;3;NPLm1Die4nwEsk*7O~PTl#b(>ZNY`
zy>0KXAM>BnC>|8_l-|!<_BLKwvO9f4Q^$l$`uod0rPNsCYkUF~&c)M;9F=z+7E;pU
zC%f4-ZWD11KN8$lURn*U$Gcmxj=Z$BYJ2A(Q|0hr3!SITgNFx_LR4K4hBPRb!MSr!
zF(LVZ+B7ImR`TP85eqRWhvY6%{nX*Ii2NN%C3oV=+lwze8I^mSb3mZU!*M%*+)-ty
z)cm9scjyi^``(8LSj>6O;r+_4iSRCG4Mui8-0vF0^#<msz+QW}*-Cfl@8zz(9;e@V
z(~$^>m(N{5MJ7uMTf=b@4{u>YL9ha$dNpR`;!6{c>8gY{PCx!}@pYo2P}p4a9t-iQ
z=;`1wIcQp+D%(=#0VOs3_!$dlNy&#BNTq?xN8nfzOr{<V1u%A+8+;T-T{eU6(Am<;
zci$jCV2|hFRWPk;mo&gsOF^by__&{xlmGiM&{dE^))w0yICSpqlJv-|qqhEo^+DY@
zj8uWIS+S)<w{(@%)bI}vw9iOza=T88vo&QSdPid+(s<Nvk!vmS0_WmYk-Zn)Q5OUd
z?UMRaK~fc$+S41thrH?T%*xNk@Z1d8qklmDjC;mk$^6hxZUu(=G~mNDI2ZT~vqiv#
z)nX<-q3N3_%eWBqwz3EMIunCOEo1A4;Eqt81rKGcb*D;iZXm(HR5D|YnOS0(hK)a>
z;dXcMk^H9`rkxGThK1&N9NBh8*`Pf0iE(sP$7Y>YpZokDK_g#zKchQMd%iOhr?%VI
zv|RD<Od6pbxrbgfs2+1jCr?Jj9+P%?qL=l_s!~}%%ywUtiodbl`fPo4y|bOS2cukd
zA9VdEu}Tc`JB>Tx2~Q;H-@fd}RrBXWI)S2OvijM{{W%N;E`s!j3Hh+JFbRo3<(5gc
zlyDl<EEZkBL~hrIZvRlbvU>i`u*yW#zH4sIUq)^d6)pz}V%OZBsfzvcApW3!?KXNI
z%SeOb+nA^8F{iU|qB?=hb6L?iTm3;=`tgrJ0wqnLM&xbgO;r5K@N`J_jz$n_Qq<jb
z<iQfDuAx2DYNKSlw|1d&%RZg8)cuBA@<-3=DUT+5WcA08WYJ|}miIu9#Oi$;))G`~
zk{)ByFzN2s4JHX<S~}W1l6V?_0gK4TqIEQwi6qmF<;JT%=j6iuf5ee0M7&Ov#u=1;
zVl%m_puLK|EVpU2_l9hIzSfdiwvXLQ$)oLUO}rqZO3P{;hJW~+<6K*Q<vq30E}oWO
zj6+@4rm->6a!|leO1<uCy}h>cDhu-6N|!xGAqJ}H#v!Zf(h#_Bi4v9E$scN38D2IX
z4kxnoZNFv-eePz{G(qHuFFcLxJhe&LmE7qo!deITj^Gn64`F^%GTed@8#Jgqa2{`_
z_yi5=sj8R=)XCZtygY0dvGK5Qbd^?zrC?HBOcL6%OtKq&K@@TWFFv|+Vi)ld`gh&m
zoL{PDpdpjQA+?lSPcgn5&`)>bn8D0`f_sw{{_c=h^k2xMZW~)OF^MW>RxO=hga^w?
z++xO6Miu6tOb#hs^rY;J_a`sTJkjm-{Yq$;G;L*w`JBm!t8MdMVy79&&==qeN|Q)u
zrXi<_L;RH^wfQ!uX;9)Y)F0#S*;I-5SxmHdCdt2qJ!DEF(6P5i11m@?r)8@Qr<p1_
z$osi-PD-%7$FPY|BddERb%EITC(q$NB^%$IiX5&O5Zh_4&NtnEFy(e<;7WEWv?2~=
zS^1Gd&eVU06K`wSoWUpj*5_Tu5?-mL5>YlhiUkS9H}OF?eL1=6XyM59qsl1n93<sW
zD>IDamB&AlpZt_?7^M+nLJC7qF&rXL(Ew?ii5S4qL7il~XpxkYWr;yEA#<;qsEa~J
zWl!XO2}$*8yFYojYqVCs)>gLJOFHoF&K><W^Y&ibe;4@dQW3+tU<ej*@g!7x`HOm*
zkB`_1e*>9>rEYduaRPQnprsXSgE2aIxTd+9|8;UR%1dO%#iZ_dHOrsWsY%u4jSmst
zkd1Ik$uu2}onNoQ&&*^vTD1w|*q&#?PmXvxIlG*w4EE@KFfFTPz7ae+HS`Ae>~23H
zE49teN*&@vjiWo$y42|Ua56Ng#$?3#a767NsQ#tp$8e;^pY(@<E-%?-+&mDc@G{cU
zca{mbi5gX+HYLIA>IQ4Fek#>Q;{4S1g-4!kDWzP@rNQPB!NW$IqcFw`b&HUPW^$xw
z{+wCBe4(Y~uNdM;S!G!sNa8%M@%iQ3!C0*>Kr$CQ$$Cr2$Zam-bd{>$yTrEwy0&UW
zy;e&6Nrvm2xfpXZ%o03c<hY#FdoT#?o=u~!8JU$F6B9hB=vy#6>82^bgTwYp_UEJR
zG;oarDJLPl#+YEodVaKlOWb|8r>bioMsR_k9X!A%gy&+?1l{SrlJr|Ya7L0sc0Wy@
z$Smr}rjb=d?U4PhB^j(fUb|BDW;=`&a`<UF^~cIZ9~G8@H^J(i?R+Dn_H4FP1$((8
zdn3y`k{X@~Xa9MOufDwcw?4VfMf{?KyH;_YU991eEVe4oHy-uYTFIKv&br&$NH5Y+
zimd+acHlCS?xi!Ajcv}!9Cve%8SV<j|6<R+xl$R{kMy!0rbDQs;sU#pHs@!u9?3@k
z@~g)YUd0-Uaaa*nd{t!4A(c)=YJ5T?79oFvXfoK7x=eyy^leAKnKc=mfIMFKZ2M;)
z?XF=@>ddj1=9!<IW|ye5HWHlR{_+L7`{WU)K<?2?Pp4;?uz0-i5wj<8%D!dXU|oF7
z&AxX2bLQ-17o+o!O{K@8<FacfXi)cAh$dVp&I_a0@d>I}Ml~eg4>g*+!R+R2OX~|#
zQl+=+hpbs^@o{LwR5*=fonF$fv}6O9Spnbkk7wmi;BlyJP`P`!g!0Bi{3kU|;o&%a
zXx2gIL$^DZqcBt@Iq-`9&gTgpdQ>1uATl~Riy!^HG#Mo+o5H+c!XxeGn^~iA>YtUq
z`|vIf^>;ars$5rjhMAF6_e*U9uZkFacK~*fh-wn*l{GED-Iu8}T`wJwLV#X;e>tO?
z8tYwDJwDoJ=Q~=N$WNLKl1ituHS#2HvfxVB@UxFTz*xheVkF<B8n5}d8&wE8pvGFh
zSV_@?u)aN6e+Y9IhE^n?z4?*nEW|fJN=hKX6v^CgNnFgtS0osxd%(=)H0SxSIFe5S
zw2ZGR*3f6}t!uDln)9j;+zsNHZ@$1e{Cc<OzRg^zb(g$aja|!YeKO<TYMD@e5bY!R
zp_qN&$(ZWcn3~5ijTVPmlETnAbBqSSK%g*^M8HWv$Qa^X@0&S>CLBWFqSMdZN_n0o
zoHt+S>Z)_Z<tao;M{+SEC*C_?jFJpnZg9j0l3;9OG}xF;CLt!`b7tgJFkdGP>N2$i
z-Ko=<b2hzovuc`oGzF%spY1&C{U2<U!Q@mYqAbqcp0(>ecdh}PyS+D3z1z0DgGEsC
z{Ya<(S^aAkf8$aBh!okwR84j#g(3D3u<~(0Hg398V-shx6=%wqX!lEt@S9oo{y^cg
z*vD+{QakgH$Oo&`kk@rFty=j}r;T4pc2Z_m`KRcd^N(K6G&Qb;8P?IT)x0=sTLynO
zpI$Fx{yJgidVB9Fd;$iG_H6>)H-{r0{TH#Y5hhev2|^%EYvKN3Qc#?MQ~^t}en>|!
zO~;3_Cbpv?w<$V#|6m7sL0&mSQ=Mz1E2_<F=~G<j{F=@x<<pis#RHihHT{J%icwR=
zBU^vXjbvG1I$0kMQR)p=GvY~a^`Sz3tuQ!|w_N^%2vMaa=jWuzL+VO+2McBO$#pTc
z+KOH1XQrv#WAd^+=3Ff${>iR`H=?p5MMC}3#EAI=F%v8zn@fnsRx|Nl+c`e>v?!9R
zSyPb1UwT3wtz%+cKFt(9vuBv>_2oaCDDNxD0J8Z?m`Yt2tXlb;ylx?T<m{1kuMPC$
z+RcAq=pTz0j=L~;l6v!9Ja0)!hqHI;#iDuRaQE_S2aK=g)R{*&*_zDnODCtxZgt)l
zbaRNs=26jIW{qJ}(L_9&JkNYoqIW>>n0jF1ULCt;(9LzYP>)-sjdQ*BJD_3dK!Sr|
zP@+B0xG{2CTav=2iHARv@un-srOd!Omy`x5*co@-UdkmuTnY)Mxr&`|^JOJmU33qy
z4!GzixYBsF?1u?GijO_$DDT;>!Mf;?0~Bds5N~SW@x;in?9eP`e6F?9VXD}1rPyYL
zp3mMVPOX<wZ|(*GC(c5|sDgGH#zf3g1OK`-VDRG5qtGVER`|QbY~f!<O3cX3l#_i_
zb>^nrG4DsirCRr*Wp6o~?9yQ!!ijBHoJ8#mJ-?s<-ocVIh)k$SECMoY3w(;%iUR!W
zFp@MCwP=e`h=v|dEXR=Ql4Cq>kuS4<6+GPQo6_xCtxq0GM$yWCj%!{5yMj<H4IR;K
z{ulp$yHnEg=(ySI<|(FJ#u8E{C3JP;MQ%UES#oD1hr5a5G6*j<r^1<$*k9oUyH6P+
z@T?8o<BiV=X&34f=QVqa=M6%RMylh5ERK3z=I#&mg2Hh6lAwpjRA7k-u{Ui&@~dqo
zp;c_*N{+R|wuqY8sg4T(<&vL?LY^)OX*L*tuYA6nKXTcUSg!-LJwCzARe4t;w>BAV
zwOv)QwYyg7rDLN6TZ?_=9_&lHKjgYDbbw(^9`eel$XUTB@y66|3>2+4L92B|>rD@u
zHLlesxae~nViB~iwV_-N;fO&j!bgOdrI*t45$cqHL_R__P-nV?dnuJ}(XH!Zxacsh
z@lOpT8wn9e*Fg^XZQ*?BCbNMHIYh3OVrKfJ<$e@D=&G^dh+S8)sYfept4ydHOvDsU
zR3wd%VU3y@G-)H9;#g97`zdBGv00dgTrGn1^3(6ru*3whQ@Sx+nJj!-s?Et+>=Sjk
zo-@eWK?Bnm?55_$fALWu9l%F4LLpf6&e~-rqQzpXavB3F7D+fQi~8+8Oi4NC1Qy)k
zVfK(~%ZKGkdh@s;;STc-wGcC+uuXJ5Qlr{_v8uycJBjCMQdaJM`9^(>fWd_ac~8!z
z6{Teql8G`Co=f9rJuZBp^3-^WNgGld^^{*r#%|s90CmSx8*lgc1RidHhxgaZh-N<O
zxal7bam+JIh}78Tp#yl84jR%p#L}E{^YZsL0n!EF$NY7;`Thm)y+YNRFW&CrC-wM#
zPjjLb@OAt&K0f%X480>(8iFWd5_0!!h7;fF1+Tm&oyNn-;H5tkUTDv}*m$|f`BZDG
zk>u|E*S0WTX`gd4h2`lm$o5HR)tWWtqSOtCYiF;%CyiWpr~gUeMg@cB`iq6wUx%Uo
zY>NqOg0<Qb3j+{J$BjAx8sb*iQqQe^C10rBDksRxnxvb5KvuTq{&V`@qW(ue<Dez~
zF{<V5`>b^yuVz13=V&5&XGb|F<`RyxN~Zi-vY}Y`PU{!z4;{KWXb;$E^kA>udc~OQ
zg{ZZSp=a|ai`BZ#z0d|konEe1#v<oBOD=nWPLZGpD{2LyOzCUv+|#|~3UAXKQ@9&&
zVpG&P4edQ?Bo=KZ)P&1AY@!He{p!Zyi*wjJNA3ork#p=lvN`e0I_BlMY;nwN$&ctd
zLbI%*=A{^x*^X;{$SCu?Z0}26|Bky?Cq!1$8Fspy5=R@l6Qm5-g90*kvw<2=*P$1?
zrTbvxBn|51<;#^Ya%c+tCm+#599p^B6CCHX&>~~E@?^?LDgTx6-gH@~n96vSQfRwr
zqnm*98H6MxAF|L@BewDJV%zM+gRdMy7f<gSYwX*lQ{nfFOM*C_0+LnVP1)3OKzw_T
zNHVw-K!YmKkbG*e-al2~Drd7l&aodpaj8A9(rGBZ{h)XLaQX4k^aYB?;mn<XclRIt
ztb-c-vnJ9rV$>nekytKBr90xz>;sL#cuLP7)=)2_mU%|TUH)5gORM=UNxyVqQx*5G
z7>;=6q>38+k{ZDj?kaZE_d0KsoHUVIs$1|_`mTn0`GP4Co^hAwD(i&94)!NOY*bjL
zPh>kDCQBJW2MZGKj%7$Y_W7}SUY41ebSM;qNUl8`!jMivmzQ>VLac5)x)vjGNOV=-
zSoUEi7S38>s64jHx4UtB!lGis5}Wb8$cUdpO=Dt*V`9#y6X{_Lil2+TY}`{zB3<|9
zsqvmqw97PFQrgtE8x(bOhx8bJWFzUNUV4|&9|Z|M-ZkTvN0V9v@4yBn8;addsp`)&
z6K|^_MOkn3i4fV1|G1>I3Tk=C`$<>}h3%#GTF%eepVYG)>PYX5S78E^pBrwSm|3dL
zP5H7kuhmeaUvk3J&dp{tcGt;v#cTT33EX(tN9c=b(s0_Vu5c2}WR?3J=|HL;9zLV-
zvMGTDi@0}2;z$_kjDV;jhZGU)E;)ON7&?@6!DPj>eT{-&`yLw|pZijC6-@!mRO~r?
zzOaRyYx-p+2%N5VgSR~EgNCQ>e_=o8TepE@S>m`gOF(*R!*@l0ooJH5rMl+Nu_i>5
zY&O8dIV|24+lU%4TQ)5hJOucpV7D1iI16(wvgO1C$(k=SalJP%#r5G<$=A6>pQ<1Y
zFpB!SwH&oCT;qq8W#bBw7m*SJO-O-k;!jHNr0`8geu>z>Pw<{HJV=2q%t7JiUT)Ff
zCS9B@{oW+-OkH``^0>U9hRHMVu=G+BZhfF^z3IN>+KnrB46octh^`*%t!f#{h|-!?
z<jY^6|LFoJerE^+s$1t78k7^9*#C9B6tj*wN6y*oog7*;YNqrRIoS@(lEng-&nP==
z#dck#)NpR@)%Pe*i={O*YwBow{JR1<r$nGr(0zm%K4`gHi#9RmL_m(OQ3y;Z<=!gf
zr@UxE$22iAMA_`mzSu_lmNK%G)>~&CpU)N(iS*@8t>XPJ$`8Mfd!gY~1#n*<7Eu?!
z7Dx!V^PHM^_3Ix(8_#cq69}kGC562&OYvHD(vlh+ngc<BgmFZ<;BZAWkJ;b7wk5<_
zLx0Ci)9;PvT;XK<@3a$kH6usJJuI^t5k`ePT%eoLM8(_djWIqm6$AI%OQ;vbE!klV
zUw*<RUp`oy6oGK6L<$YrFGIZh6IwwM3Y#7IlZO2GBPrxL6{>`Wyxkh>q4YIYH^=JY
z{MPhgLIG+@^>%}8?Bk79RZWR;-}bj%57&iu)t&VN#<N3KA%4@F_`P$=9x*H9e>gv-
z70V878HygskWOp)L3vHm_<XPJDQ4mYM(6E)1kj*e*_X#)(0#YEk1gLl!PPo9$_IbE
zn(}6x3x|jMd#>icxE^4EX^}ZK>7Ny|sd|E)4G(7kFd39rJsL7GJcfyQFTm+{wvXkk
z#zfS$*IR4Y2$HLIi`!NsC7cT?OXcri2_1%Bmd!Ogs@OP_SqBsD|67zec}w;H>Jeu_
z+Olyo5jhu{c!EeUabk9KwaCZGq=DbmEad9M0)lX{lKr*`o`;7~$y6PRuC^0!r~*ib
zu_xw$;CAo=Z+VsKa-opi#gQo2O)c0*n^w%(HEgHSNyzTZkTQK-{|n;=`UDkax$ii(
zS&VXd8Z8!Kghi|~3CW!Ry$HxStooYN(oL#6!KzY-VHEt5&v)Hxf@-;z8Eb~Vl(<Zm
z+|@U?TY=V-XqRKV|B_H5UASKNeV@UT*lYhJ@TJ`S^qFG&m53+|^0PNxDk*7H^{4(Z
z!cj5D=qjy(%he8e>+N3JsVzUU4tnf+o+<9W=E&ZVUulKkxz_9V1s#@rKXPr`sEYmi
z_W524ZfL|!3<8DzJ|3>s<QZ$Q!bj(TF&A*>KtPYjb}d&v>5ho(-v}ARt99XiCL@}|
z34HKx{GRsyt$U@)+gzFPg2|DQa;!f0|9ANqjo$`)+#{wPkTG)pVm?~;g{t%UFZtn(
zlrtxxpVY+|DIsEX&<cwcLBsDaGL3|0+!t@_zL#RdV|^|QIAf3HDEY~$^M;BWQ;bHa
z!x0RxR&!g_OF_Bl;TYHE7os<uv&-R&3q~_mPZtD{jdmv8L-O^u^3GS+9n@iDGAH>S
z_*)Luk44meK<8~NqlO&-+i#RZxzGspDkz0EGe>zSh1{inM>5>U829ZMbWd@3jk_}|
zZlpIHcimN46~nN1L;cQ#Sr)W+od==R((usCWZSAP$fHKPccvv@;+^2}lED#pPs+{_
zpzLX~SyCBTL`HbbX3k}<CQo6!+WK;1tMHYg``o89hx+}CtJu6LZX<tYiqji-TF+jr
zd{*``LKoc2aEW?Exp+%-^g%Qzhg+5|@>lWjiph{+ijv|g7W`mA_rG=K5TJI_k^M<C
zoOu2OR@&g_v_q6-iQEA}<*hll#-s0s`@YaPD8X;OyLdfP`TsqSf6DnAQK)miQmbH(
zKt5A2Zh~mdhqEGCi79FlCEiJE5@P4pE|JvcjMB*Cu3{@SR$G(Q02NeiNo~2i-;e}C
z1N>;XGFphQjnP?9K5RJ3mDVs|5pI=Wa7UwF0=3(>8qV8RBU!~k&T6<vt{<cv-f*{(
zgs#_P=&DGpYIpHL8_UDOl92QF(%e{9o%Wj+VhTBi6<ybHLJJmU2JE@d0O~pXZWzwP
zE0iN76zOyx{@dK9tp)q6;Tr9dPiYu$8z?Rh;3qEn;u9z$#FwBf@F*@?V$#?qz;b1%
z2P2%C;MDk_wmju6i%H9jj|Z8r-hxnk+|TN$*a5lWW!erkT8E8t>vR2&SNpyR?utQ?
zr<40-j*ca#PEOQG7NP>%goZdC?h%Zr<!z%=M(#_eOD*a{o=o6WnxY|Y&m8ZRcI!`}
zGJ?DU;ZF8;(*L)@oO8g$+!-*-MNhzg0iUPAC90EsP~!Bso?qr+t)LI521?Y1na*~T
zWk1BFxZAF%U_phprDBsKL}IE7BA5-ect4I1n4COUaa1yLo8Tc~+S(KqZQ}6+ZQ3`0
zT6TRAzj#Qu+e<N$lLq}>43gnOJ%kfYHXO{DiL<S?AKsH#li74SKJZ!f7TG`n1`;9q
z1((oKD^^I^F~>)#iDB8+kx3H;{d7Cb`{4lCyC5C!nJDU*fG!J)&Lkm<h`FJ6+k!uZ
zl^;wO9{xdg@C1;s%jC%~;50TL*K`X!PGPkkNXqYZmJ*EP?n^RESdL<JP(~{u&$*k1
z#{%0t=^JOtV6LZV$Qv`TJB;^$%p?h%D`sG{VHr^y=`_dNSa}<xx^_(}5b1jJ-OND~
z1uLKBPLP9u>L$N08e;JJFgWqgnB<&^@6}Q^sPiZOspB8N{9ZQx2|fnb$ZD+H1eM4$
zVF-AjoIl`DNKDCa60*BB-rbFrOyp{Pc;IYnpC32r)~Rt4oDf@o8{TLiSmpYHNj*1y
zYZqPpqTr*NrDs7Bsv=p4kIU1O+=M%mxeK@l5WwtT3PVlS7~V)RzTVcqp4z9_KFUsJ
z4%6VDDn5U8!nL_qOm!;w<cd?#%=}sgjXVcXSgj>E41UPz_=<oB78A{=Qelw%j<|p<
z@G8TV-OADv@H%m9w*b~>$o{7<UTs<3^V$0XQWED0<ih-9U}e{>6Ed065xkSb268_K
z(Nmc_t=BIJLtp*r0!eMzmIzw8^T}PuOaq{@#|7i8?{Y{mbsHb?&H1x6oJk!&*hw9f
z-IrOPpJO~1bC5$%mjYyLpm4D^15H&v2icf>@AR7g0V1LRh@7rUxaNV5<F10wb~IRP
zuch|j!~ss)81lz!`%UncZ&u}(7tXNF+;gq|Xn5`E{&DwfiF)E_^Wn>Smw8iFs`9}!
za;WlWMFtwPfl(w^o<QUhgv%sYrRT2A_xUbTp0aBs{bY3-J>65c=~~sB8xlGRD@^jy
zF5e3xg=mvCYkyM0eQwYF72%%+CsuKy&SDXQ4hT)%c!e!UkN)vo!2CJgvY4AANv*WJ
z83Dw&-TXVK?P8WKJ+bZnwPc69o0pw0a7~@wu&hH1`U2l|=fRcLc*lX=+lrQ+D@-$7
z;Y;bZ)Y;b#P0t(hK1}_z%}KUOq(RAYq4Yp=;Mb&VzpD*{JR30P@uZN-$&h>!%y5<M
z$C}Y_{Rz7}n&kH@?ZfKVJzwUG&JMWhFFVAVY<G@rYMAHmy$t1i-D%$PTOsAg#_V6x
zu}`3a$q|w}{k>JCnqZ}8aMVd=VrQL#J%+a__k5Od-Qro3@U2f+G+mS0v@m`8kjUor
zb5}=?jhdeYhmY$P-XVhtg36(mp%3PITO+^&>xq)wB7)uW&z8T7`De>(aN*$r-x!#P
zRYQwCW~N1cgfHm1%8mZbqGbc?paJ(A(=}fSnh0d;MMvkic{zflk)Iz9v*mF!0llRp
zD%R*SJL%j2+p+?9tDVufv#&!Gyz}&?1pTs8T6ta_M{5EN7NM9S&I25BWh~+mmXXJ+
zS2go0D`1Q7h~-m3s-b<tT|0^9vh_{%s}q+rQ@_X-<R?0A)yvp#buo&u5%%jUA285v
z@jQ_O7D#Gl(9kry?_{}%V-`0smLee_ir-VDrXgRKfUIK5OnRdPCN0i85;whCdU*>@
zcx(4ZwSRv->RF+iXxQ>gH~wuRh$}Rz?e;c3Wd)yX1N_Gh$}&K3^_aBh7=Igf&!l>O
zsa_Y6cx+5~MNOAo)KRw^mG^KHR*ffpm}fqdNES|K{$~wez5Fy%{<k8L@<{e?TBCWy
zGWtjN;n(UujWlmOI%FW-z2N9~k7wvedrQ>I^9%e(HaN%1LO$c#X2v2R*Z0dbat}3f
z^Yp$EQb={wZbzKfxys61zOZQ5gGhq_<8?MxBw4LWeCmU8I3k;d-2O<CiC8NRrOu9M
z(-hSBUHyXgzUga+>AZs&2!0|GfQ-t{U~tO(+#nbO*(n^!uFP7=FN7wvios%ls18+j
z-M8VL*la@&F25DZdityv_ZKs<t|P;;nIiZ?tIfCUb3;_9Zc9S+)0qV5G*>UI;No#%
zU}8o-Jk;j8&uHpP{3tN_XA{4dcaWDh#*#MIIEIZi@=n%01gC%e5LWtihPXdT!x5NY
zDS23gs((EFFAAFr9qJu+t8Cs-Iz?yo8#gVM(VL`_E2udUb@`oYsM_raXWReV?*fL8
zvG-F9eFH_QbU{-A%ZP4AWYLh%u#GI%h9S-T+ALzlr28twN9vP}tCsTidZjLDK2zAa
z1H=?@y{U7zdEop7RnNV?_+&WU6u_VgM85qL7ET{fl`>uZt2RI6($4@Q#Wsy$3|2^h
zVG*m~e35yursVeZ<!UTiDI+ng$(mu6Im*mP<+}3vpvC7c^zWJm7x{_ju!)ZOaObud
zAdKBtks5!}T^F#bxo&N-5@9*j-7{Zi50u+E=P@B!kCJ-p8xIn>P=K^Efn0(GChdm1
zE}o(!=njfQT~uRk2gB3y1cAwY-luZR?jJ_0ZEw$>A+l>@%Zqd`3qu0lOFz;0h(v?U
z_>&rdRp_kNe+jRz11TK2FIa?VQxK8ug;ToR7ElJcmi8aRiO5{YZoKW-gsa*9ehQAv
zRGvB1^fmo21GjkdukprAd|+S0egki3D)uSVZP(J__pDVK$5S7Kmx;^OMw2*9rsrsn
zCmD#avKMh#`KvW$3BZ?e=1K&j%Ki+@WPT>i*>=&5;8Nx)i;r6*DsH)WXq?S$_>;Ok
z;R%*78~@JrRg4=RS3Z+oN5Niqw-JX_Utk#KnfLiB)u$sM)wj9=Xue3zsiah8-(CZ@
z2@z3DUNFn_Ts`o=Gqs;Q(l&J~E8Gu*s1B%1cVDc1y0O|Mx^*tVZAFu))wlC?J1Pp~
zFmBgl1XS!WThUO{vtxQe-$v1_*bs>V7i`HHp480$F0S^YouTMA`_&iVFmrzv<fWE6
z=U5XDmnTHt);vqg^8>Rhe&ddm5sD;H4s}|DXc4-CMdV63{ezVGzD;Vd;$_D4&TtAz
z|LHoaXe!xHXA54p!b!RBq!D`tvc2KV(Fzj~8B=3DbMh~5S^W5~9{%T*znLM}$Mx3H
zfEwbTg8T7Gj~3m0A=RWK$8>``RSw?@7A}^#nwolhJ)0cpS8LkqJ902>yHp6O?SAIc
z;7VnY?8UwNL;635qOIvs_0vkMY#hl%b$8?t3vy76%YB06Zf=e7=L9?!we3Opc1g2l
z_fI(Sof%Xp2{kkK3VJZYk#!|c<a4#v`2)MSKAP|UW$9@gz?S5Yr&?geHc{N|UN>vX
zwYwE-YN~TnKyK*qp?0U=;dP;iOG=v+z9qNp<0dwTQo&kp_r!cxLy9p0`H5KjH$LRV
zZV_?_zrA^k8{008aY2ioy$|YG<SK<}ggk<LTrbV|nhd@dyeI+<+;5lBWv@7M&@gdn
zx-UGnO~n?IhSZv{!fbs6Z+IG)J6;UZiGl7g6F+j19k7gd9u~a!Tuxt6eY_+glOI?~
zS}JW;B$GdN?B?#MhLtStI%iYU2>naJN%#L_asoR4nwc1j7@GKPj&_LsR-PVB86<49
zYg`>G{c66XMhp_GNKkUApOYY22u95-5_Ans)}JTF!hPfqRky3B^mG-Y-vPg8%DL_K
zWP*Uz5y41*)R$a(_|?bt*9YAy4^=XE6=_2a84prAvnIk2wJ0>tydj81BdQi!C}yV@
z_4u#y^{#(2GvZAMYsrY3<@C7vSx*Q_kjbqS@N}spIh~Ox-(f14)WfI0HtGXU7g(I5
z8kV7vp-F5LUCR8s9Kq%gyGD>>B5l}vEW({yq5)dI8;rOTjsVt<UU2M|!}R&v1NQ|z
zUd&bp5#P!G8tV&BxT?PTkU)?3BoSevpP5&P{WH3i{1HlY)jQSYC-Di3B1B;tlr8Ys
z{=~yaK#ZRTW$FoBdV1jKhmjOfLcW~G;fqnHg9j!%-i8f>2D|@9-T<3e@I~AY3b)>b
zT%h!lr)xXHi+WOZ2HR9k@(i*c8S5|UN3>QWrQ0d-FOYKXO_kFL#NeSZJD`k38e}H2
zd3^DCc<`B|r(ju~wU{#9VjW)qsL1Kh58XU96t+g>b+v8{POCh}l%4<{!ny9X*Cbd)
zlkCM8m}~?$aH3X_y(K4k+^zK#G!?Hk@h8-OqIx^Jc4?V6B~mu8X-wBSVJBEOL|@8m
z(^19!p7%hUF~d@h;JOym0qchuHe!zil%c)QQh)hax4#G!^(-dj!&fI8cBe$vd2Sdq
z?&>x+U2#I%5-*n9t*f*3P{!8<E5KdbZZ^)RxZ+ClUXi#C8IzQ^8X^*pIRY>sl<`4|
z_NPRUt8VKz7b{}gt-no#ljH~<2WM-xzkK=pm(ixxID;j|zGUm|zuWXL>E|(DKcQ`$
zarZn38v}>N<v|+`w?+h~BLt#$DQm_e<R1;vdQrF1M9q5)j!I#gw7=CRG0nMf$7bm$
zApjMezT~|S*?Y3kyH@^fsVzGCk?T1Wo!iYMCzpXpINi&P48+1B+ft;pQ*$oRB>l34
zD$gWsu}_@+hBq(4!Ol8`dnLMRXgQ3ZwQUIiu?`2!7PAoZjly<HS2~)<$6kh=1&_;|
z(LX&mk|Ik^#u5T<eDgzVojfdeUgugkA(XUbsss~T;-0YZW+ry<^9p@@d1R9_t1YK=
z^fV@`X6O4y@1k3~NkRi1L2Qg=E8AyfTiyB3D{zjdp(nIWZyfUK+zv-LU=bB(B-rKg
zaNr#)b#U?(Ss^y~IYQePyP$Zl1pcwf^M)35LLRQo_FwXQ-iCqW5~f{kiXSAl8a>h!
zkkM^imfZX}EGVs&As&%ll^WUjwCX}QB9KPN#6O<H5$9K~TpdE-vA0%wE)M++M_j@W
zY291CHd~#dgP$&2^DX^xhqD0B_zPCIwmC30DNyyu{pBl0xr~({kgj+;UNqrqndW?+
zjOKa0+4twa4^D;p*iZ&m9r6_L)aHKplR`2{u<s_Td{VKi^DpfB%LfVS-Wk<HMVjs2
zAR=d?XW*W?w40p~1omS#b~T}6K}JujVW#0KTUxLA4Ku>>TE&AsU~}JjT~scKDEncN
zE3^Xj!0|6KmCZ0|zpf*W<x>!xP{)xJ(Qv2m>~__u^_MfVaPYE77u*hMXw4FoA9!r2
zXNm+R8)>kqW!|e$r#llLz1t#N`Yl9QR~2pR-h$OM+floiMXPr1iQ&mtB#k%oR9M6_
zm=N!?*^9l8nn{}Pk%*b|w+-)GMZePBc^pg>o$8|=z5W8PCP@JcXSWC=R>7O?(Jg;(
z`Gjo|r2b<O;sZ&@0#5#<z&r2#vEBMy<*~Dm|7-P3t>8I|Jd;l{QrD@Za{JBqeGDsl
zC8GDBm)1Z2UzUBAYS5dXiKyU!(R~qZb>D5|Cq*fe1WV+^5@O~})+{|)F=fRAl~z5K
z;^Yl7i|4Y*b3D#N3xSj!b*jp$mes12C3qOFZ}t@z66zU}MncF|hDo*MtG2$jp=p^u
z8D86i(~}Acs7z(ybg5Q11Te~3h{7zLAj`(bA_ifk$TVzYc`wIg$sculrFL_+58Hz0
z$Ajm?gA-b>su<q$HUyr4sj1s?U%J~A{Y?A`YYf%fr$fO8m$Vz4Q@-tUX{kU65&o7?
z_KWrzpGYBolOYkL5ECw-#}rK-WWNd1>Cp3eq|o*(S=Kj~4`7drj>Qj#`+m|=9o_<^
zEQ|b;M(E;qKlB0b(~I~7u5pk_O%+Sc8y)%j;JB(>z{b?;L*O{+sHAXlHgEyeo%h)C
z4#6$CU6{~k8;XvHhDvqGKB&?=#*8XjRtInk%)cvpTljCVacr}(iQ?^4C#!df2b8<v
zgnLP~=F!=i?Vq+Z-C^|3cyN8n`O)&k=VQ}>u`?)>oteI<C+B#STdm4RU(8nzS<fNT
z5a8GO#8_X-^!FAeFx_TnqSrv4#CtLUnZ+YU9xrp18lRh}6Lzo7DN|iUAV!DBl6L1u
z@NQ?L8rYvku8wC?!hDKvYc&hx%mArnh7ff)qPL^HbE?ChSSF~QL*Q|~WAtvQ&bLaX
z5#bkffi;{E?tx`AgU;P@-_Q|(`ic4B5;&HPU{Qm{=1Zc5B!+L6;4aIDO~;94G<7(H
z@hrHL4sx}kZ(kGzFv_uvoat`n6oF<Bv#+~H^c-hHKeV%V=|g&!23)TvL*A3PJYs%S
zc64Mt3-VlEdWOLdfdp0zHJQW!;S%bF<cD0+wT+Ap)GI-R=U~~zx3rtc@^6~t+T1?`
z?*ev9o0)iOE;pcGhc0gvCjTSm>jZyc|AzZxNRcotv75LU-(HcyW1gtrofFWU53&sI
zH>^Iqan9dZt(a~ZxUX6L(Q~J8(r>r0E4x-K&LG=Irqqcry{TbSmUlRt7!V64>2M@w
z;&T<yqe$~3VVE-*0E;-BIZBv_uV%Q0Fe+cleT~w;>C&_CcC<hZd;T4u4yfRoZue>@
z^E_n$(VYeUL!0V-?Zf^;2V{S;ll{f?ARe&-uUgBq1ydS}<CkXc(>qk0z<Xl2gqHl{
zv$-In=C$#ND;<+mh6W$r0muUs%*+M8{W%kR3>Fc~hNpJX(rdnGc%NHdg&A4ohp08#
z3}`;)FKM7q3A*D!7)6Z;Qbr~q7NJIbZi%5vW<1ghZrJaoEC;V(EiwL?;$q~r?(I6D
zw@(wI<k@_bJVgKBrl|C9cE2Sh^U`s!mz?p6lpardim?Hret9ibh~tp7=14d?EVEC7
zLvt*Dt}qt_a!oIFZp>#uSfu$D>wrSv0UV^1@0m<hM8kRFg~r3$H!NS53v|>YLtAMg
z{wPTLMXFPG=RP=r!~+HYUJOO)dpzYO3(=Gd<wXUVgK7&fYaI$!AWf?q@Aw??$s@`3
zn4paH<-YL1{Pts8i3{KmQXRAta}e#eQ|)rE<Czx%NbIyL1GuZwH=b`$-()sre!oxe
zQ>%a%jjz0zK=^T<c$L=n49M>>p_s5S>Q=Og(4pRYSl-!CU8M%A7|Ev?Dj-S;x&LG)
zI!sXKq3vE`5xD4QpC#7-i2ic~&`==zBUE50vwDn;2n0rq{*%M3(*nKQ8;;2~A6OK|
zRdFYEfIv6xZ9QrU$fC@-09ZO~xEso~z{;AuFaTIv=aK8TL)HZoGUNY5m9H`ldfUBT
z7*R08#GpHIfM$PP0hZDsb}Qfq>=b5Y*Cfe1sq*Q_7~WT;X-HaDDYL=alecOiqU;OI
z;YlCVUByskFOA+)P5tPeK^h07yXZJ364dQeoV|7ExnxXV8D(H?nB<bbW4vNlUj?7L
zxBw9IGZrFiIKb(PGzA_?8j=(~YrX0-1-gpE%O7<`#1$URks|0Ckl&X3_8p72fdCm|
z>h(GGme!BkNO0C)f-xWaO*WaTjC6bWE^a;oO1Z&$Gt2{v$OG9iGfafa>TBSHlN4j2
ztX=ikM-o;s^|PHxS^OO!_w;u0$%&a2$^{oJOKRSAiRDjNf&oExdwh#K@mK~;OPD$L
z_>0qNhoF2B+&Z;DBp8Xfu1Y*54xRfR0zR)O3vt8@^48><xo6K3%DXgB5r6=FGMaLR
z&UV@LCNR{ycY?){Dyb#w-@mw+Db4Lzt$8`;0dZ8~zb<XpJ)F~VjsII}1zohp1DWfK
z5R`hU-7jY}#6s+_Gr<qWJU|O9M4oiBD;zTEHk6I9NEVZSoc5-`Kt?*#OLAp;w|lo{
zp5NJaATvQQ#l9k(OAweQIhD1nIhm>f!7lAv_FsVhauY98b~%H@nsn#mOvv*G&fl>H
ztbgL>nO%ozP}l1DQ*>ZD9Pv$7#B1fb;WEN{7Z}UE*n^=TVONokECrnY9k+FS3$=g9
zUl+V1NQxY;T2(r73pA?3Mbd15xcTR(>%tHiw(t%o%zws;;Up}sqY4TUYPC%uaX&!`
z?t1l}oO6d1L@mMIPr1=pG(tDM+-h{C!hOY?Z6h4}<dbRA7b^(>q5?@H2CKHw62Qqd
z$Kc^TiLbDX))>}p{s%`T??G%r2cN%SA8LkW)N<Vf+D5>tzkZ*{{z-41dzV#O-p{wl
zjb@mPe*G@6mUQ?(V6Evi0Bh@lFtZqsTJ|dPyJ@W}zj5b!T|*Tz<qUV{9s6*FcBv66
z?UH<(b}O?}ngdIz)cQ&LPp&UuOa=y`?R+In+OIfkNkj&XmOxiM)0{)7S>~z{m8H7L
zDnmKMN@*2`=PS=wzBEfD9;NS2MsOCr$<)n16#psuhvctWt{6!^;7~ds<gr`j9tOpp
zp)5foZ!b!VLL@km0*oTOjHt3vTaM`#CC6HLufk-<FPd`Lj1+hh5Po(vpnq*ubeqdY
z)`}(6yQmQQ6s@a=7BMwy|L%Q|w0tmrCC8&IU0_W#YNn3gqx@?SyFg1%#`fv`cXY26
zDXY;-e=-p%XCwmV-0AGGF@jAX4Qj9;WK62XG?C-gkxy2G*))cp8YF)cS9`;?=qnJ@
zntO(iq^6Hg*>K3xjX&smR3p9eWKB}-6%`~^y11%&eS=T%)0uMY)r9a-O8DUW9OL^c
z#71ffWdeo!-6X7IN67)R5}J2OWffZ;67$!P&wRkMgPxy1T7{(#_cq&roZ}zHD8oP@
z=3>xWP!;XeD^}J<5Sx@w_}q}6wP4>dCe|))kQ5$mAUo+^BXiIeXETUX_!o9_GM4Zg
z9Ons-DVN+NmXTD`dRKr{cinVtb=z(PPTGt1HOg^%o2RS6cvRsmrv?J!P8Cc0*ku{-
zXyh6TvePcLHowlFRm3KAg7-I@Y~Cd~i7|0{T5*kv4ZZE>uVpu2B~N-!v7ajM{z(Cj
zs7-vAdNFB)s|wD8$7xwvD``Ah)JZltc)886CVvN%q7v+iuf)-_4*sWCW5y4lU>t#H
zJ9_KWudUAaT;$CjaG$A73smx!?n-&vh0ANk-20KO&WDzss9_qRUDO}=1T!q6{VgvS
zOh~iyA#KcyiK-snW`>tyZx_|CQ!{jbN|Btq<zNopRRuE$eTEGLOzJpZU^Mt6depX0
z%3hGx2k%}TSPgEyV8j3n^<(XG!Fm54pMYbZr~`9*ceUI+5p?9)^m_qC9rAC8UFKUV
z#1^fEE)17-eD3=%mLT(S5=%JfWyY1!{kzK9f0G-b5RQ0%7+Lf`(;7CSklz&aVB?IY
zksS8bK1jjcc_?3XSaSG4K{5a1hSpGNu>fK9&2Yp90|MED&SDE~%@$xY^&Ea+>9?Y5
z8&J?BV?zmdL-Y#stPt-y#JsjOwEMk53d#F2LaDz`UIx0)b8Wx@b5*_Y{OB=*z)4n@
zu^{TCdCz7ZVEwawt>1GGU10*P^(rra%?I6Ur0C%a`ANN7KH?Q+8W)T+>a-p$I_vE8
zOVSVFzG<v<zE=H0=8~pCU2WFLfg=@89;ak4vLN4t?e@}p^ay^K>J!yTZN21JR5u(m
zSZ?96#)cTEsoVjm+J5Yrl>mP~<?}8B&~uCzaY2)(@d>xEXqQ6@3-JL{52U-w_L~xp
zI=dZAPwfhn)_%%iA}QoIg|?r;yW0tRL&&bRbGJVa)WvnK$pT}2kSz!eNU5k9lpDQD
zBx^eTyU>69dE>tj{qOx8vtIJGrwb|i6igIIys-JoMzvBi$u+O<9hzO9x<|W4bd{|)
zG+IF|gwVT20ST?f-XPv{xuzHD%~u~=7j!Kg_==aaE?`skFp!XmUfXrT-APjUz}r^n
zaF2X(Oap_LQH>xSgb+hQNh7$oGGi3`X;zoU0INtUO)2R|{gG9)t_wdVbYU@Ie}K%z
z95mh?qF-?dWPnU=PCaqI@krXD#|bIM<?I;v<^9>@N$491KBBG`6<9-p*)gC#!-=)Q
zE5G=VHIuz>1>6Hkiqxo5GMEERG;+)M7{@>M>CRWBP%IO1Oci|%AH;Y0@NDyB8LgWI
zFv-~o-}q!~8|AVuxcG&hO*5-+qi`1-M-#aJ3PxN6_B$u)Gc)mb`N}1mpnNj=W+UB?
z-`&A1+`DF!=Zn2Sp3j^d@umYLbih1Dmp);Ik9Z<M`s?nmP8Ox)civFGy2D(9!xpY>
ztxd@j{a^Ka^6#;@7$rPz)y6jEVjHhDM)%VcKs_5Y1+E(GjZ4yy$D7_<#ZOe@ZeI_h
zaGb-FcCS23276Z;(zFy&Mw$eDiwjaS4*JP9)v+Ao)8{G}abK32GesL-b;>NGB(#iP
zx)_+JDv3uhp<cd<!60wE<<MFMsmFS;AGmT7EE+0dAyWNCv_L>knPw?h1mn7{x|~5f
zvZ^vC$KO=eO0Y=EWD&|VnE2qJ<hn99tp)^%la4!%Dsxc{_oM7@e#4-b!5KH!P+SbB
zdp2{s3kz|l4JfmdZIor!2_Q<*AIsKYc2mu#<qiK}PJZg1AZ`Eq?}j(7tPwSAecp2a
zq7j;M1M1BccOFUTa+?Axn4|3AdVA~7xwlM0AtFSOYXc|~hNslKXs_La3GJ$m6_?X8
zh(KU6!`}qNtn0uf(a>x&a{g1phX_ckfk?8y*joo))Em6$!Q2M>_vH0*?7ur62wul?
zx&KkjJR4yJZC^`|^5vEjdV{;a&z}4W+p5}dE9d<!%Tq>JmVErkRW%?_ZDsLc<~8Nk
z)`E#dRE0<7iW!LDqgwPk7p4s&$P#MiRtPpi@DFanR}l}F6NT`|NxAKwX1oPBf=7d$
z4|G>V5gugz#%(cMOQX%Kd~pX2oHHQY^#{)6>KyC0md0EvTK$Q;%3z|g1RGXwo}teO
zB3KNnYMm1x+I0{xq(rFwCE30vh?;l{Wr?<<;&lR_Y+KTya_TX<U6juT^ct(nk7C0$
zSCtU;@FG%gm{cpbP<zMc)fj<ks|!*CHy$mFDHN-j8zo&si@9$+Yrw38o2rf=J-OSi
zjPC({Repx;p_qt^mBHmRrnUBP;EW;WT_w3-<XN+#dazjGR4-mwV>|Cjr-bR?7yB*g
z$Vd^Q$+`o36me+_%-QvGdwRVweSPQxK#*oog~hpoJ)HRg{MLWRPR5@8<Le%S&8?4c
zr0Jc+_>M*A>K@}(yYDR;tne4P+wvfUbGcNLQO@-{tWV$cEMYpi#C#}MSzR!+rmvd5
z+D3lVL&~60y7%SWix!4N^Gn4-uIJgBWu_i6m!_jH!I1^gG`6(rFV28YiA6-VuceAW
zJ{`CklD<Z_6~?>51ou!g#E$J7|GSx}ft4m?VqO@X^rU}x4m$eYA+F5pI>-QnuaU@W
z!B)V}f7$sQjNPd7=r*JL!`{gVS9f^vHx1*jfyJQGXglA=GFFLvz#>Ry01SWx+1Z2n
zQ@h0x9IJB%dgnbuMh>MIjEd6H<wICAOkut296#=q;Ylywb>7-*JW0oM4#)E)U`zze
zIdGWP1?iL5U*0JVK=^meraV$^p@frKXM>clbr`Q5O72G1#20{t#dNR`C@-gNIuOTl
z`2WHr$7w$>Y%U6k*#7cAmV({ZhA+Bs5i1w^WC%3h2}`|$eJ;9e!|`RFE`V8IroCy?
zSWo=%+iESoy;9nSi}8DDnf^iJaHE1HVPnR%q7-w1v=hCM3C|UMn@GRGc)GwSneI;S
zt&mfjYr6&@?ydpD!*eD>!b$p_b{Og;&oXE09t#={`7)9q{|U5<;}^n=*Irg8`z@+c
zvXRq+VL(Hq3pjx%6B9k7Qc=-WbVCHEuu?lG0#a0ZIcV#s>kA&bos@ck`o9y9+t`?W
zy{5@tdAR%g_pD9*$uIIae<GhGLq@i5P6L(_va)PENI5Xz26>S$G@_tmUf(_IZybcY
zF%kctS33dxh`)%3HVnHbUo8udY0I&=JC<M_^ROyzt4b{(zdAMBqI9jR#p8$CgvgP7
z)g#U+Vw9_UwN?c$9(QPu-CX`3srA&~1D;98w$+e47IDUd(c6Kd+eH)bhtRCaZ=8sI
ztg-AaA_BGGxx7y>iZV8K%1K?_|H>~_ny4-k;7;BhIdqG&|2Wv1D>hbL`E#-to|XFh
z3-yPgF+l-_;CRl442G*GlnAjVEbH$keh604nHGDDe==hn6?;ZQc2L78JeLXO3K{~d
zy`f?As3U6&S%(Xlff<vr$)tnMmW_oG*8S(b(w9YXtN!kk-4<@XR^#w`{-&_VEAK0I
zT+`pxBs8<%luoic^BJv^`eaaaZ(Y!1{mAQi7~lCdW54;QKX*pkW(_`%vG~aghMoU&
z$@1o8c!`zf$HDcX)yucz9)yE9a4wxBL~T^3CO}HM4A}xYQhe%#-n4^k?%L5C8>jM7
zQPx>yjjZ|Wd~AVKo|qInr1{Q5S9mkiPRHjT6s4B6`cX;_-2xwSVBJq2MFS(B;3AKe
zyv`zi(0PFg?fd3c1CyEMBaXTg<#Ap=c(+VmM9|&V<B8AtZ4h+BX28*=4&D}2T0kqC
zwX+wwwMTPq?O!$Qk2fa)y8?*`z>6=9{as%uOvs{q!s4&_zQwN4){s*ElwmKvCi+4^
zQ9-EBr;@aqa$_?PE83Y59TSfjtP|;)tv^Zd9b2o=+e#2GrwVcCZa(!v`K$WFEB$Cc
zABl?N@HQAZRb1CGgx9KhYxUCGD7hZf(h$?czniXmcoDGO7dAHtm5Ab$Z@o#QzqlD0
z<L$+WT{!zBMIMCrAo^K%@P{UerpM@6VW=Jh2UFsJ=l5c*F)CQXcxOtsP{-x*ou&aZ
zhk$XF%P`cn6riUmY;^!j_*_5mjx8RD@%nOtc*qtIiEdjTXArvBCSXI9haB+?4@Ts#
zy8D!1{oearh6!=G2Q+Fm{$>m=pFXi#^%;zfAPpqtb2&XRa@B?)r2MZydzJwRF5_^b
zULWo{NLn3>A%D+Aq&{=NJ1099*))GGuXH(k%U(`84g8+9{6gFT*w+B}Wn<OAN``Y-
zf#7Y7v?86J*4`2o2D{e$MyMWVE1W-jQ#TJU#+NO|9h2OwPD+*(srgcow5S`8mxSWq
zfHARU(uf9``#ZQ64ZNiKH5!7&{6Mk&WdFP|17kC5Jv@<aAXYdt6?Iv{Ak~-S^rg*n
z=K>t}cE2f9e}9W!9S^&lpr?xVv~?W%{+9~!A<H|GqIEPPqG0(IsD5e@q$C=(RZSK-
zmN*UUVc7J$@3BT@zvS10NF(~ISmAU-Wh+DA>G;u*J-ex$E*)K)ALEGMl7xUsfBgM3
zf=MA3+F}EEnRjB45J&=vZU<MvP~Rr&Xwh2up#`ng@Ju=-Wcu1SlAMl#&*%J}jkdYJ
zMOx45fxenHZR+*%!2be{^ZyUv0HL^Pn6qs<>XV9Qk>ZumWQ(L$L6|gnr*W6HP_lN7
zmkNs>V9d!N*8^;t8iAP8C}X60bwVP0iqX%sgpJ60E`Oi}f`esli&eODdLU|#qc;aM
zsKhNw#s|`dtKES)!=AkYMyEhy<>|K6-xM*i-P%I$7*T+9J3vJz&u!J42M!7<=vysE
zFn3h<m)vqNT#5Yu*!m8CD%|(|cO*L!87G@0Gc%c$k*s7TIf#gGYzLtbWoK{MGc$x^
z9oZ{;ACA4x;aHi!NAK^a@8|b>{mviI(Q}^XzOVbbulu^q8_+G*8U&Iv9Ql&hR8aV_
zX=7wosBawfjo4NssE~I2qtJWluSB-xw(qI@?4g<EtX?)KN<a1kExTyM0$xE^IJa5)
zvBjuy-=xinT($_|m6wfoP+**3I|`Az!!)6TAZGhl-8<)s-_Wf<$Y@%OWr8x9!s=@E
zf)8A^5`0sixMOl~fnnk=rTDpDPt_^9U}_rJt=}50!YKc9XT#<HAc=u|*Bm@|*WXp_
z38pZ3tc*VB1B2eNl>-SVNa>(Kgs`rP;<cO@F1~^*L6e_Gm#An|#ICsSxm#TomcY4`
z)uK<6ao=Kr5sVgjG!UYfwfxZWI<5ZxXit0b>71ZIy{|vzis|*Lw<Nr4A^Pvdo5(Rg
z=T_u}=uqv`{12pa9&T*9M0R1RvVwYdCp&(c$9I2VK4vW2M=x`&-5G>;JIU|>M=>om
z8o&V;`GIQjiMuVt@H+gdaPQh&e-G*8O8@tg*Do?hc6wnimQ0_1epTafK+C%gS_UD?
z41XlP!578HR@^Wc6jP|^D7)`gs*=RF0Pq}8cJxdd<l-^4W4HL+lrM>XTREe?i%$>T
zJ=knp^6@2vdq-bbB>=K;0c1)rWX9T>$nuB$UAYT=cJ#Tb?wh;AcmF0h%cpcS=L`?!
zsTeRAvj1)Q=!Nrkyn&v^P;?Lq_2T$dn^wa4^6oqQzxuq!ra!F*HOl7W;|n1aDE#dN
zr1f`g!OS3cA4jxb0+~pWr`m>&Z@-P8+upr_+CZ(k1tIC-ua)rc&BC2m74#G=Y$`uF
zzkK0VwC4_*Ta|IA8Y()c0g}aBD0<yJBCFN3k(C4%m^lAiyI2o}>;5PO4BkZ-ioaQf
z1IAp_?N2UX+1<Hu$c_4Hp|?M)El|HP(wH$HLUU0szPoWWs(I0Z<mZul`~wI|8KI|h
zE_Uv;%mOxQe4gL=t>qiGevV?Zje}|HF8hnWCKIUU)oXA6!+7wr;yT6(KuH1EDg1^v
z3D4>JsO<6l#Y<9Hj4df@0>rn;1%ARG1#a^*q4awK$G`YRB3Lcp0oehXo=UJ-rx}%H
z;V}w7U}s}UD0<$Deb#V8E4-M#`}o8O+OgUiq%crcgl@Z3uzqG`biU*ShT@g}60v1}
zhT>IXQ7z2LbpEbr(-RID5c8jy<5iAaAet5rIA1|zrjATSdd0W3jzV*)iDZZMeid_Z
zRC>^$hHXajrxz4gVAFdmT(NC4s`WH=mXZK1D|O3EIxJdi>4d&_E34m_2x`q)qb13i
z04_;IhYS<`G$CH1N&mp^(4(+GuS1TJi4ecz?g~FU@ITP2Q#owe>;&?qtM`X9nI~Zo
zFqMAIflx+b<>}rywY0iIvDW^`l+ke!pUO|=`MY7*AmNtahnAN0;fVr#vZLDDPf^t+
zuiGTu#Cvi@x~<W&v!!>Wl>tmOqz``wXnp59H~hu#L>x30zzvV|YAE#CF1qP@Fa6hs
zeh$RJI3Gk^5skE@0jV#(0xsiN8SZ=4%bipd$+jni_)HIK%fx&B;+ISjtXHj=>^gx>
zLXvLUdJFRwn8!{ctT;4--$fY#FB~_zBmRD1m~x-G4R8ttL8S6Y^AXQ_3OjK<{=$fv
zoAP_0&G|pkn#Jiq)A5|#T!2uvgtIe65c`X3f_VgDf%}KoW}T0z6t%!oiD6@x)w~|W
z^SuPbp?d*opNSZpD}*UzJf!qT8z0kVxbsTd9QXQGk1DHh!-r#V!@WFT7rk$;*PFgS
z)^EW$^m}ScenS!H5&>A3Y@U?l!&G$y6gto|^-IZrn~Oder^eTwtQ_Tjv@2=$^Q2z<
z05>z;k;{K3%Y^C!6Jkuo&B`b|dwSe{7C;=1+U}tGUY2E`C`FUkG11T2!ZUQ^8nFW~
zxE}dHN-Zb=Q$8i@b-hL{&)eX^wH1cQ1WKzgJ#`Wl*7AUAGH7Q_Gi3Ab@XmpmTmr3d
z^9$x1cn>V;AcPOw4B?RCN1tOCcIY=e-n|og;$Ib;-WM8eKl(G#33}nKk@lV1)5Ol*
zso=ca?RH%dKEi18zc9u%Fq#VHBXdNKr}+)tU4co+sYT|%r=_T0waSAE8tIj8Y`Yy4
z_ZJ;v)ekc}f=-JG3ZNk^8DPzVr_lbx-J0J(p95}h<>Ex%Q9kdrWiSE1*_FMVP<5Sj
z{)3pa-0acST>W3*CR;AH5yUJipYB|CS6*M22xBMXnQz!lZ##V>qGC$C=)xX9AXO@I
zBO7g~J@^JrA(Hi5uLGh{<?&tz5miUNH0r+@wi@Iz?syuYqLGzpk=V+^ZH3T&+Qs%L
zu~_OFg+Ad^Wy3L{FZMlMiEus)Qb{|m5C^$6Benb~M?6yK0TM~9`<ab?=w?ePmB(=Q
zWnk3jn{XhAF#Ct#chfWD{(qdAC^C#^3VK26M7ZIpdul-TTBox`Fn8Qsg-hUHF74rR
z4q9cbo(NyXo=rMPL`>H<h+Z^g=1hPh0l25gwn|bIz*j{OXmYDt9`ODTKWZ6=?R)Xh
zz<?X3E~JXqv$mw`%1!v{qb_5@8t;_MLSQ_by3{!gbFn(z5^<L=^m2}n`m0cDtpAfp
znH-vfF5vA&kWstS{C0OXx^{uP_oQamJn4McOK|Ur?Dx_w!#-+3burx(n`%Yf>rk%=
zJ0(<>UH<kz%hAk+Z*dW=Wm5E0Jz_t$_n`w8Vuiu$v2A2Lhlj4?S<GPAWS|zf1B{u$
z4<Zl&fEG$dk<VbCCAtxAbP}=)&>g@5%O}FLkH~=t%u%Oh7C!C%<~g2el<+chcMGXB
zc@jfFI-_=T)o`k8P8KtnoeR`{lp4*DO%5OeUI4yT^whP{f{_Pp)+A0}^+y1%8-HjG
zza~&oyuE+PdpuC86-<|6&yI9@*!Rj+Srf^u_%YP2ZP<tZHobt1c$c5ohVh9e#uo@_
zJImc?;@{9g@$_4G;NB3=M~DBa`<8I-oy$jL7={?c;8wBA#H9Rx03HXyzmm#v?9qkJ
z_@V$2cO%1u(ot8Z*$jW`g&>BkEyAGE8TG|*hfRIY>~Q_t{F0;Yb#gCbIL*!mpK+eq
z9Ve$vei!<zKfI#H)y`pIgml&SO<9||{v!5Dn(L|)&kH{j{X`(Iy?gNu((h5^;>`tQ
zm35oV0vaPmQa~v8tog}2Ev;BohBwjgbfBlU>}tdh&}%4poiI~I`P3$1QjibiKbRud
zpI#r#XQ*(69yJqN@-+nikWPoWJAZ3?rOW#6qy=1oS33^-@HZH;0sY~^l2mI5{F98&
z2KpP^>G_2P4D1O5YJqX+W;I%;H#edm+sSyS@-S74JCV`6YBUo^pN={{G<Xn2CQzdz
zaK&5M7*#C&!tmYM{$6B6U~O4%MRDjbOt-Jfk^<}#IQI14XZmXt(D6TYoH%f*nydP7
z(UJs|`4<SZJg5dj<1h5hDmX<s-!0VkZQM@WZD+|3&@8;_iS3r{*aX+~(H`K})cfsq
ziscV@cJ&>VcHTF<-`u88-Ym4NoZQ|rH!W4^n0w8*WnBEGqAPOZb)hSl9`=X%<{Fb$
zLPoJGU~n$gL1MuE=TtY2Pj>|o-_791o1HQ_frVr1RUQ3m?n#~5O#u?GT<%}R37u2U
za=_~2v~Dk*4LkjA8N>ZnLnOJTJgZY--bUgjt*IR{P{;qV$qCz`=4*zWThWkSOm`kn
zKIl0d%b*~$X&o8<SWI1CAI&+pK&(=Jd83p6!+6%XaH9uS2Qef_;`B>w_fv4b+{<^`
zV94tNyaDqU?TZ`#2Bd1Bq!mT5K89BN9!1E}8!UNxDUxeVISNFPVTwRo>oIilX&C6O
z@9Lz<z4QXs4My$!5xTo{?j!a0fjdb}gCt@m871(;=z&MrUn1J<!@n|Y@D-0<!*fQ-
zKmU><Y=%^#vuakxHbIS9ky&hOcU*OS&it6e`O=wuIjIG#|C0NJtmrSH-I4`VNYab_
zjvAHa#BH)=Ro3#2FSGS?rBi7GwNCyth3?KO^DF*8!qh6t`jzFW=uyUXz|t?|!FzEp
zfHe9%o|6gC^wED!sFHSZD}DshHTi@;D$e5&Gck}K1n7YQH%@S`UtZ$Ud-;OJM0o3^
z&e#HJ;?i$EM1ZShGXi^;MBz>;IV=wJ@dX}3yVe$fZbCpC@;#7N`m}1%A?B0s*|)T|
ztHWAS?ys0TJZ8xR-16*aFVSBP>C~SNkn9&iNOHh{nZxDJ+qZnsz}*YX&hFmOZt95M
z*iQ&%$j&{sz3nb8-yBp=wX13L5V}&+U*$t4lOczc=Koews9Nah{G&lqw_&_)CV6b%
z%dwFO`k(ml@Wa0o=9sxk`hTyqvKjpJ)#xY<1zCqY7r8CDZXLAF%Xwg70HWta<Pg#?
z`e3I)vFd>g7}Y=7S?g-Oc}cj|-x-+QrTySl`FV6al2t?Ddc=F`UIkr7;wM$`nBE_~
zH&V;vp=!yL`jQC@t$DC?s5tyU(?dJQKx4}_8UX|{tqxCwv-|kl=%E8$$+~+JW&pvZ
zI%A`^nzM2S&gV_~5;YCqr5B0lwcnwP2A(^`GBN4r9|f%Amt+{&QwM^(e(5H02<Qk!
z3}Lr4(?C`DWT*Aj)AE)_YT;Or(N_K$&Cv1fW<4+U)B71QekFwIB$7ir4Jn9dh(_eb
zeDQ?{Fl=i?Tj_rqX$sK15JI{JphNN&vH+R-1QaTwK(zyH*?63;4AqW0IQ4%o;CQ<q
zV(%Z@M|m){PSJzC0vrZL=Jh&)8aT$VrpH(nC&%5K43Oe7qiT<atIx=fUmhH!)`)y}
z4gAm1KYj<)tpIQi0WHbDv>>F32|AeHO8p)Gi^!yBoA$xvY-?N|Sur?%0Ew%2wdY^>
zsxtuRtJQ+-D&*)lP~t8T#eu1fYw-{Fxh(<mFzCC53g!<b=$HaB6?S5fHM97DIB{Lm
zl+M$CG{@aWW_j{$<g}iw=~P2}lfcDDNkP5c+{ofP)~ct^Qn(f?$)ud%!72tz96|__
zVPM;!{Imqj3P-R~eZYU`HEd@z{(0?j%zNL?&ea+ctL)1tM&lhto2SA@EE%K?S%^pB
zoW{#TbKE^P_<6=~R=}5vN54We*v@li#JNs4OMYYHkK6tSgRbLTC(*<J!P8ba;?Uqj
za1yg!Cjn-Q=^MYy;7c8jMO~L6c!MOqOzdU2ug?F10;XU5e?|@g(gCJX7rE>+S#iIw
zD<*;iCbv4r5<O`Q6%Egcnj8-Qs%8A%@hgvd^7f=jY|L&4A@8GazKq?HfCd7NSr)d2
zJ%4Oa-uA6Aht)?((s)2nE5!uC-Pllp;9n+iZyuL6APm&r0}NPc$7yx)qy_U@+Q?3N
ztb6iG9>U_uh~O{%AvkwP7$*$mOi<LZ%q=L7TR?bfTcJu>R2P3<;?rmzP((a!fA=c(
zeu-uSd%oAL>|0!pxQ`nX;#HazW$qPb<#I#1+eNBW_y+x)orSN__P_A<JzGrwrMhkv
z1HViA_pWv?hGoBX(mD?O4nEE(27`qi8V$c<KkTRje7ilKov-Db6(a2_J!Ac0Nfo4x
z2}y<j+%XOr;4t*7)~VWX)WU;pW%~76hL$4cmYL+KoS~Cr;qfw1S6hXxXWUDd*l794
znx3FLttVB#lg^qGV|Y97-l#*y9~=-fRogE#)-NkcX$Eg|0yGvQ`->Q-&me3@@<gu4
zHAp?^{fd7&ckjN&(LkD04jA{~LUv;P!O)H|+*J)w+M8_t%ib`!>tL-PS|6yqbxb}P
zW@#}2J&O@0qOj+Z-u4y?{Ee{0Rz(LTCirw1_F_kVgZ+=i$xUVYy@vfAfEqeBd4v+J
zuMJ1>4I=l4sPbP9r9-KD6~b1s7S&EZt@rL@gd6M+ziEQX`2hz8S^!UetI4CIxqUHK
z|9IzYtTpHfr08C~(G4`?_AP;$M!PcfGbY`lq?>nZ9XG0-qsfxvSQ^wwGKx+swZCZ6
z1bc{TL+RS!GZ2qgW^iwvI?xTtIB(8})1#z0U{2(~fwvjQ9-y^zD;rI|xPHl9by;}e
zcVTF$-b$BT6j^clC^zJ5Xb^({<2Qc(`~oTdZ*Ym<N&BIHsr!yUwp$n=Uf%vs3;><y
zkdhoVhkC`ng~Pd(u5G<JalV|)==g`d@k>DpYSH?5`#>8Bs;0hMP_-h}l~^uNM?|3*
zLH7eRqB4YkY$7uI`HYt(OGW(o*?aYBrSkMgF5mBHB5c^y_C=EmG(u|73b(Ttfo_rr
zShLWh@K>kb50ht)`bQ#|yM3j#%0{!B^11d_#RYDnX)UlS;6kxh$^E=TUG63T=|7JE
zg&b`qnf7*B8r36ffjolD^qzikHKb95Dz_#4Iv+5JIH>Zc{h)HC!Y|h0#}A*~_$v+s
zH|0ZfMGSsE>(1}tCnv^kiDyaNY)&-j>ZP8OM&ye9dCYfFLxPA;!3^g2Q}>J)2<Rtn
z(lo2oYa`0ZGI38rN1~`7|KQ@JnJ*`qko;dS34y-~0jA3;!L=(umRF<f^_WZm)fYq|
za(Qad<*kQm9r?8DdA;+h#x<NOE?Ssery8%f<ESiQw8xOW4_kwx`DUy6$Z7L%?)G+h
zO_u$gZpjaEEKg#~>f~3g@=STX4HI%TEM*q_#aY~%uxBIKebtU5zA~n+UxWp7TUgRo
zY3Ti8x;~pFzy})vZV>3pNLn_496F%w$B)lzvCdz1D(|({hP<WM>BqXc6N+*H&5RC^
z-l?$x->37?Kmr*%OE8yUM!MZ?whOP{E9=P0DI#v!WNO5wBjv9GcNDWHxKupduuEhD
zJ%0x8z)gGu*R<ET+~EO~0!3{`_&4u#VukLvrr*nof5$^-#q1SoC4J`zkUClsLKBk@
z{ssimzXt}s-=;Z{u5Q~*2%$ap#KH-(%g<=pn`p?;oqtK1F-3PqOU4|e2~K0$PhDqq
z&WvGm)Pe%CkyAQS5t9LS8E|Fc()9k56-XG{r%g`xgVCw2%bXv9E=VHX%_Rr8ccU)+
zoZV@~VW#GAZ^IS<slaS5zCZ1DQy?>8_AjvNS<b@5lQRY(PTyvwzw+a$HuQGhk6$i(
zA!mH?1FHFBC)vN1BqmQzqn1F=zFPZbOJdw4Tnmi6w__6!?qz+Roi=7u)q%0t!0KGZ
z#~xehJ4#?<whAhIje-B!kh<G0x0$@-1-d!}`m3`$Zr5#SV0ceZ@&+x5LlNSly4zR4
zxO0PW`0ws9TyOAGtps|3kh;Tn@Q4H2=1J2w|EhY-1Hd^NRpkRIP`9M`NJCS-;eSpN
z8Q?OLFbk|{V1?u`sXhLGg+RcZb4|~4{PrM;7((`I_N#<E{GW%&$D{2*>wOTQyaN1o
z_htdmj1+}8{qWdK*|9IKhB<teci-MMzf3<`XfU)vgpDY2uuHs8RR!`}ufMod9eA=W
z8qLGC4L#WX=K=0ELcrtiOx9x=J^XXT|5z4-(&C-bEMZO0@to1LdRQ?ys3}h{^hgcw
z2`2oZ`wDmX!+^^grI%2$vs*&t!o&)VB6h`lh5F5ALh&4tZULu>%WlUv1&ioaJ#3os
zE5C?q`6}4-QDq^7IrDM?wFLAQnoIPFMQ|usOv17=^l1yK`Rmf6t1#)g`hy|JV9_OB
zbe0&@YCePstq?ALJB$8CGP(6oatVK!;SF;`%IyzS3h|pU{2N$lJ55P>Z?_V&cA0-H
z9rSPgax)pp6zGP#axG-}9o%~eeFC2kz<OQVc|`&9J=<H2_+I{+{*=Gx3o&LkN$m2@
ze(iUBM|Rf*8Vi*{Z*PZ#1l}q{U1!5$@b6EQG=D$C+dAD}-X>i~J)Spw0_O(tRA=oc
z6^e*Fy6rdiQ2Zf0N3V^w)sT_vR^Df4VYq~#aHV<tL+H0v9b6PMf4shL#tdKfep#r+
zs97~_XSr8iP3p@p9-47y>*bOIMQbi9v2OI)A_jU7r4cVHy9^%^!=i{WU$hc*_?<I}
z1x8yv%#cBzwUSbZHKxS;wmhUdDkVNm#%x0;bkBT*^r@fe#Q4DXsQk%Td41ZflY)Wn
z<<sJ&6Rq44RlfQ}s811!E=Pp9Laap+O+dlOj)Z8oL!d~=EePyuQt7oG(;r8ON*5!_
z?LJZyd0fkmh+S{$uD<npBv{<W6ovH}7?d9LmBd1+u~c1y>>peYSP}MkZp|uijm(hI
z5^6|0gu?IO4Os2@4c_o(UZ=-$oxHd&Dm#_0i_VUH$-@{~+YmzA=6-Uv!8*1>t`Cif
z6A-U#eRuCu;NQ>MbDpL4Xety~56j~*JAGXd&K}~*jn48DPj8+#66f$rBEn?$2`w_W
zndjz-@~jV(sS9rzMvVbGh_+GH5*TLfa47KgtLcfm{d}u=zhT35q>K9EOtdF2-Hy`*
zaS6P&-%mdejG5~TnZAd->4J2-95mGiFu0(iu}qXZ&yXHFV5tFjkKsO=i7N@?c=;(T
z)$>Q6%#OqNy{a6F-k9uEeq~941<tOWNU$Wftk8(ZQL?Qz=FFbI&XE`4tFWBNhPd_~
zA(H$1a2)PSB;bSidgDEJE`v|#atVHMTq?`lj16`AqN(tD<gDgo4Gndy-8JY_`^Jc(
z_<GVssi}Q&g$Vpg4PpUK1Xo9^2OBZQYZ~7FC=Q##*YyvBRAzvyEHa1%hAAY`-e-Pd
zYe-|xrQ)ax4S_j|EwMk;{@+iV_TA-gQP^i-*{AWv`NdL!7ho|m>-1_`YPEd!lB54}
z(TltL3Ovt$WteIe%p0q%thF@H&h}Mo+n>v)dSd&&EPbc_xcrfRlzI9rYv;_(MAt`f
zv;HC5sL1NF(l_uFEksQ{z~9-=g_!-!5O&n=chC+O_xFqKuu}A^nrZ6ZWkvTQ<fO%j
z+-e!E9`tpQvYq9X?J_@kCJ<N-R?aEUC2`z6hei^;n=bi&D(PuW3`-h=XUN0ZZRSs7
zhy}VW6bHG_4}0=!Y30X>*`Pk3&fk@Ib;3T16MWO?{pz(f+Xv1L8~F8~;dL6?PF57b
z9%q%N>c!DTVI4kJ*##2`ELG=A*!XUfZ#9#q@%<3IM>k1efJ(*g*NS+rz3}2yJ1*TY
z59AQgPryGLMU7>9f}x<lpV0KUX5BznZWMul{VOuWm<kP=b(ekje(-R+n;Bs@H|jKD
z8+)&<R*C5dC9x&#-<m7R-$SZ1Sf@Kq@Sv4bbA-8%q_26mxA2&xqw9<N@P^=3D}UwQ
zH?3u_gs$(@nu`?CH$IA?3348msx-Uo6P8Y&^gFoaEKi(oeIHqC#DP#^5SO8zB>#v&
zvmt8d408qO;U6f`I!dY7troXO+x+x7(sw2o6-5Hza95o$8#)J+KFtyWc8k!K=Z<<T
z>ZDX;-pO+9wf;Vh<`RvvZba096IO$6;)IF%-feCFY~zmO0DT|QwmDfXIZ{k^9mZz1
z5AFlb4!nYebo1ADCXP4~;*<1KN8Ch+*-!-6n9XmIy44LzmuQ<H*2~j(Tq!9qA8ZhB
zN0xn^Kc{ztheqsEc%rCDeaBG5V7rxMM==CDpo<{%LokGi-4cUN(TKB!yY{KzZH7b4
zeTS?Ta#RKyY39QXBxg05JDVXSZcUt*SP|vTG^gGv+{$&j_F(f_tmZMx|8ukT{^w?^
z{QFabD=vYQthP$n4bj)@(GqNS>lT99iXiGUD2?*kt8aIo?5+B$L?n^=1n*7|in2Se
zRbRv96U4ibn-(Z`<$u`TEP76PE}EdH7PlaT-(GNw$Oipbi27$!5Z(Ni68s<l!4-yO
z;>h~_^ExV-yGQPr5*jyV4cRKAFpY$zs!eY`ZTMBMUce_~kl>Yn5BHA#{Dnf(Yx^Z|
z>X<N$b8v+(o?jPbp%Ug6?OF0aIus|XZsPNveM7f`U1`rgYv<js^b?;W2%<u@Q=uyE
zcDsE@*zJ^OrC9gpg;|;6LEt764a`L@f)p4NB8;7<k0Aba6ygdiC&K<AeEwIfM<FqW
z7__T#`Nq`Oq57^p<7L5xvL8#1n5i&ZkKj!whCt7(ye6QrWf-|gGMWEQBt8Cbv<+O#
z4U~X^;0j*t?DX?%&=QJ^pa0LnUgJcV7MO3*iKetsbnw9f@27C+EkJMg9aXG(mGR0x
z2;XZPtVQ-(OjkZwSvC|k82Oq?8wPgeV)8q>gCW8a-KHvvQa8w#_^gGE2J7MCMMSVM
zwglSSXmT!eOL$dZ+T7W=WX4)~Si3*N^_CN6l|l8`Ohal5kbVS|9f}?wQZOitxSa}R
z)(n=QPVp0QKJ?EdrOqd$ZdbXXQ`>cNBbDIIgIX-Xe&U^b>(42nZ4623#cE?G*C`B`
z&@n%ZU*x{K+`CV?ag=RmLjn?>cW2Gp#x4`2fy6UrPoxK%Z-NE~njkus3U$bZFs^tI
zOVa(RwxBQOwOKu{H1FheD)wrx<)Bg2dy<rAn*Z=WNF?Wb^SqTFXU}@)?<apgHx8$J
zfdu|1!U9Ne6U}JE=!?vy<uwVZGbTwbdlmnZem!X;a(C#YY7Oecvc4R664myb7#VC-
zuoYPQHo8@;E0ADkiYAiA5js*zO3NRw+%Wxhzt%$>9l`@PCnIW&<b^pAN^A&eu@%&2
zJpHSf?)=(~W@+`|_cob*GE?`bJup4<7m%uRpf4udFdEDMxr}9*W?5>}TXY#>^t-M8
z5cT0%f(_}paV9Ab^*#J~x@9;ULdh3_-lT1?Xd<Z%IXI+3-Sb2EVee~xNZe7IIJwSE
zLvRsR)hM^uL>x*OZtFy@Q=X|8n^Iu(bi{2xG~=ou3SV7}vrn9EKk*Y!5Q9zxidTxE
zin%UOK^WMUcGZnyAduD&Kew@S02OQTWbn81YcwYUzdXYt&^DRB;|JRur*gT{P2c*S
z@emuU`K<K6pZkHYdJVu~IwEWFm;&F(;|L9gu>70|!sc47C~WIyF8sM7QiBP7iu@#w
ztex%a(CPX~vWrDRYu?7>(fI$KQ>??LIj?^;{hD5Te{Z;1UUO+rsR|}l?+A^v-?LX&
zHqa^mUEww?RBv6zzgEaYHo#~kl33js%NT`X##}rB3@x!huf>*Q?vei9eSeRQM~3@p
zGRN)j$qO@z#4B?eZcAu6-~!5qRPdO{m}0T~$_`!yh(U4bAD5pDG-$~MVbVfIPX#u>
zs1=)YCJ7A}c;uoy!QlsHmqi1JcjltZgQmqVJ?Z=8$f4QpG)s`Pt=V@w*Ym5k+V3{v
z@MKinz30xyLJI^6gsQj%c{+^GDz2#p7K42Tf%y?(J_A5TiwwG~mB8sKpb?w7C`#0n
zV5AI3@8PS!6MGDERJ1f=&0a>EajE<+s*1eJeC_Yarl;Sp|M$_Oh+&zD|9S3FSj7nJ
zi~bVf!$|B)o=z(!15x!t;k2H}f~TgRPF}%^&2<f=2jb4kR$jTait2BLv=J<K2}fqR
zaoXrOXFN&P6R$KbDQf(=RH}eGEF*3&QxQjH$e|+T;T2GF5KHJbn543*+r*|Y+P;>l
zo_=4h3(eTJJr2{tkD*{mE&iG#_8{u_BmIfhIfGaZ36MxsBBoTHo#B6kyAKDF&ftk`
zvdwJG49;r6em+ac01G}D0EBIUphIXDLJW{^57hqo;DEKx<=1R)Q-hzwz514bZPQh$
z%S*~`B(&%jVT9r}xWrTT#_z)upG#p;>xM~ksQI_^(}X+zu~>$fdc$@P5hMiK4tWR<
zm^wCuEQo#r&^5?CKWqt2Ua?)~S7lX#4u}}yDLXN<>}A#=SWhf!sG7dZO#R;{oBiix
z|6nb4RXByDxjHfIBs380d%cY8VmwHB`EfUfz8DH=ZbfzI436d7TThFiArRj#`gYRK
z*tIw-T^-2*xE{AMC6+(P!OP=lHfJX|)o+#H$#&}f#axRagmoovd|OPgoY`agZf`9=
zz2)h_I&fM0iD0s8jX@FdqM2N<DqqX?NgK#z4UB#0drsqQ(D#tzJ}q4tp=gQEA%z(h
zch~ZEKcQNFdE@oD#K5fAa-5QW&n#Kr1f2bOemdRIO;MzZ4dROr0*%9}cNadeO`PGa
zyZ!!m_vds~69XEP+I#8oEwzM&wuC!aAGe<_zsFi9MTa33?z9170A=QdxH9L}9l_ZV
zwG(i()tg(m*Q@aZPL@XGcuhuc=Q;hV4tpX8IV~HsryKZt_;dqL4Yoow?1I^r=Kn7Q
ztNAz2!=xyoE?qMu=#ZU8xD=Vcce$UdLp0;ptJ!t)GL9^*@is%G$GC{>y0_V&?0Qvi
zM=<YG1TFqi5XBKFBoI_~Zm`EvDs_qwoKJbVo1<Q|ABse;D9}xl)zx|U8ot7uDiRgD
zd$}S>Q+>?8+lo@&0*GZFAbC%s`K`eKTIHTQZwNNlJ{CxPJz~ta`gSsE;o2LOef~Vk
zMLpbE6R8qm4vjE>E!|M;l219D`~ptci;MiS-VAX@LRx(kh%t9>AwnyZmydo%%_Q7j
zFr?b)`&<ShbOL#?y^L_-lea&c-%69APaQ(=oe39(adtc?rhjwFLELqy9r=5UGH5h_
z9#OlxzH7{i$i%%etdsIYUvyRR=W<90$$8B2W{mKX@Bedp0pF-Gt-+gKc*Qa**sUUK
zaS}M~r@3jOu%xzM6g1<7U8W*}Ocd<sFDAA20j?Q>Q__{MhI=6EiUwO<%!bhmDc8+T
z&lb)&m3x2hbPpw@uc4Prau~8i)>VHN)aHr{K$@s|#nZOx?1)D@YG3)iBEpyuM((|&
zzu^?%gE(@NewLYlW%}9JRW|*8$Tp<YnMD>eT0ZT04@P~26;g+`VP(uw0_{zdD4FG_
zVV=2@cVCX^B;Q_0zN0Q}_>L!!?cC>+w|;_$PJ6+MyVVR`+W~IY!2N6LL27)9>tKrO
z4;6viX8XlOT9xw~=#aw@<$hMg4D@OFaHWjpf!g;MllFwD%O<UytTQ#Qj@B5eRO08e
zrSa7cTd6MVf4$5>1Yh=(vfBxJS~|}Vkik5pYOqb^DUCZd2W80jIr2q>$1a+HCiUQn
zQ$DZZ&_}T6NW;?qDV?<vK{4|Z<z}+ZL62o`RA%xWm0I4;E5rKhD+jP18|&IvGW_xi
ze?QJQX&g~c{spQjPmz#qTmPX(m5Z`oU<)N#`s${Um|D>b<9oOS9ZPE-%L2q5bTVz`
z`3vWZ|GZ+jefhr0-qXQwPofYqNNdb)c8lg9Nw-a9Z*$&j`Uw3uqlSvFJ_y`G_;a$4
zG$}@C+(L&WcpUtsL@^ydrF~Xq`eS^equ_edo$5VL%eB0@p@K3{bA8`E+t2(uJym}w
zuJx^Ph`jTsk=9o)H<X$iicyK;Px&O|=W1?Km|k^d+_Jne?;h^8<vpt@TAzdm{j13v
z(ncx7(7T%LvRv&+FNBrK*EEq3&x?(WM(iO<AU(N`>LS=z@aAKcTtR9Yj-QMR@?&?0
z>nt3Z*y&DNuin#&aLMKnRgUmbi;-MsW^Wd{%gpfKQPkxxD24Rj<Ux``=QytYWn6@j
z#~-hJEagO?ndhJ%Jw3Ludxs2G(?OR@F=Z9QzjP<gMD!CJAB1mr4b}o01Qf8Aq7(%I
z4E{Io;MjU?M)YI$j8Wg;w<fv1Z4Z+B_Jv*tDu|a%hODJn2+=@7(xR5yuc2%&yET0u
z6dSX|5DwmnX4BWjK2lx-oRR!pYpMi}o_e;9nn8|#0`BJO7kOu6>y%LkB`N|>pARHb
z%siQ;1G^F*fjHRw82;gFg^Q;Y?zMe-xa)(T8kE~+hQmLtA)g`fcz&)mn0IcscCg5(
zrQ6z#ahFB4kPyYDIS6Sxi04hj0wdLPyMUweUNg{fRBEa<o}VrIkT@(QSde$q>K>>y
zlp`W}dyX;lcr*J`tz7LcGq$Z>Z~mJ~8RK3;L|>Hsf6-|e0Xq4)|D>O3Z-F@}gPXZx
zIXz4urK&RQ;8RV?`HqNen#laoyktk&32rgI3Q8R$nc}Q*Kp(R^LNJh}7vR^pRrWb?
z&HA}97zE<NR4KuAqOeS;X31Z#nb(}ioF!NnHeJYE`^cPC_h~D1lKIu8b&}3fkwaYr
zQ$ceZ9F{H-_tvwrQKuC6X0&IeZgEsMQqB;XehA?iUi38cj$$a*pK-_kBi84I@$MS|
z65-DQRj_PX5<l8p(|kh2?OTXE0hL$J_vSKbU^gFLz|A5SnABxa%uFEd0a~Zl32=8H
zX^%pH&w!O+!D)gFA`UC_&d@FY-rh3TK}42>0?B9Zw_C-0u`r0bsf@^fKhzECzYq0)
zDxfxBY*FGDOWLbO^PKJ7Z%Yds|FQV#rgojjj-V^T&AMemQj}$@=&WLG3&h7LrK;j5
zIDR4_uc8|EwcL$_)kmv6C9DFKTM5dqa6&FSOz*zl^TRUXVHD#p>UUQvl<y>*{Q*3q
z!=-sLplbB)m<?p3l)`y}a;>77(=hbIeb2W?K@rR<!s;|RTrsbqU$DiW9Ql=n%hm%c
zdeOhVSy3(K(4i1<-Qhdx)`+&xSjC2<7QO|7EVVq3kh(Qm`IDeU`pEiH<%P`<kp)kg
z=Y&w|$i*r5rc8l}j{;VH2eaYg2!PweW3PxReZc0|9mQQoo!TI<nsDW>(uUxTiq!RE
z70D&nn5J8URs|7ac46j2(Y`$>_)9yrn91C?=2y&Qv=AzPgPnpibxTs!Gvsl|b<~@=
zKLjbLE$@TxfQu*i(Nfr&=65l`HJ=K@-;9e?cOSXMs>v<sL=t>6)h~7GA^YT>@9pM5
zSmVyK^|IjhV_uE(YM}-M&a%pe@?cGrf4#eFDV(~EJxe5&5?QeQh8rynIu}I9T71LM
zOK)Z?$dNym^xNOnCiyb%KX{<$?DOg1UpzT#_M7&neyqZ{@~bo4nO^ys{Xs({DaJa;
zJK$S5<7aHEZ-^^+`KjRmx9MI_-_Ke882%lQoJ^HcJ}qxdy(wUDBFrHA{;hQVIQv@7
zfAT3V7$!xc9WQBg$n|!}vKVv&z3G^%9{qqqAh#r6V)L35qPggwh0R1Q-*}m-ebxSN
z0Pg6?Bi@!xT~lf}#}&dnY(0a-(Ep!;hX!T%`%TWjbX|rZ2NRd+Y!uet#>}I|%FzFF
z&vhR2!VaA`)0{l-Ip@2stOqvvT*+!86PBwp+o~iFtS#{Nau6ux#jR!d@PzI35won(
zI7?%aw#0c8)KqTV!%9*}BkZKyfXHlWrmuh^=I$9WM!mh35G@@ZBEI40Du95T`_Xp0
zN(7k5m)9}BaBU(h+jbcvtYu^eSCU`J2=`oRsh|w}cXFQCCiAJ+vUN3Zbky;7se5`U
z&C?~Ed$iJYS?%>)LzT#Z$Wtn}TFu(ktOge#f$zN_$h~Tk?_`wgs>4qH10UuiIIoEb
zTJeBeKE+jCA5tZTU1r6Es`y+vefyLj)Zt%chmB7k0bgPT0wE%bUQ5F8fU5B+=WO0h
zRpl3DB3#Pdt~SrbD=ow;4dw1K)Bbk`3H@Ij{%`O@nLdC6g7{t*{c9nECMU95ceK>c
zda!M}EZ8R@He|l*SMytc)2^fK*Z7op^}i-3g$D&z-=%13y~`89wa!cGWx0WJ$Gf<j
z2lH-1W*YWfD1laOtnN5V<_}@kMTt^xqx`<z`+n6fppH4WOJ?Xb^OZp+4k?OV_z!d-
zF9wtjn835gQOGyrfQ#bbF5al<F1@Qr3=<*7j9z4m(xLKZVm79&W)J;#X8TY%WUUN6
z0TS3BT~VK<B|rcqGuU+hB9@<~W5KEu`1XxgkKqqmWN-M<z9f6EwC)7!{VIcKZ!EZv
zhbBn$F^=U#%s!l3m1_>mvQ(z|-7%1Kt~>2fE3rJ|fHa8@Qzvoz!*zxxi^(*ZxJZQs
zOr09oa_rs)(`97&?v7?xWUpDH1zaScc-h7TyxN?}^=gDE<6|i;!e-@WYF`^F<77Md
z(cjQ|0g0y@x4e&JYflJmzcfx8t1e6`;z?4-@b8MDbLtq6u25{ZFm7;nuiFyJzLmsk
z`f^T%Af}y!Q~A!!t6oku`yK~Q^*qzm^vrs7)qoona%oIK>u|v6XDze!wb!+ALLkCy
z^S9Kt-N3XGfC7Nh^|^n=-DO52|00x0?EbjjqZd8RKX-QD(h$fIzqV|U;=T=jBGF-u
zX9?t_!I7hgH$KmA(0iB!3$LNyKL15e%bNR<f-la6z50Hp;W)n@+N}1Ax@9YmUo3V`
zu4Uyq)E~z*Ubk-iYxBX7C1fLx{+;l+Yw=#cE2nsafckO02+d8n9>+=7D-^)r$=+(d
zflFtuRMg2IUB#X<G>Qa<AH4Yn&q0#79n2%_Ke`^|z4?**VZxr52$N=&)I*V@K0^n;
z5f^~zw>Z@*cuc)Rr4au8jJGR($G~QNgnNdT7)IxlfP-)b2k3?Gy;~XXX5dx5%j*p&
zmH80h-{Ha13psz#lYy%ln}9c<nuA!1#fpdow(7e2-_+$TTI;uZlW4`4fW_g+Ceao8
z*B)}Y{!8CK!cxwjC+trSdVqWIDr>B2Q@(lBR^*);vA{)dYxwT<&@`5@(C&bL<gX}s
zx%{r2f=n{;-{io?s+d>1N;iF+{XFUTHc_45j${5r(um*ez(=fQyu+8hKW^q@1qB)T
zcopRWL(NW(J}*B#*MetG9E{{!-@7-H4<;;%iDJ3rQ#P7ujbZ}>*Pi})nFj{95d8=L
z%RPW!*0410OCPO)=a;_G!h~V%Fp(2Y+$@4cTEXQw;rpztPjG6%7Sa8bN{#)wUGwG$
z)c4$~Zb(yV4QIK1{DZ2O_ySkmfT17-fvG#_;lMbg5Hon_mR8jM>W8iPv>dC&ionSk
z+L@!Gg(ZS(=MmxFn#gs!b$M%7_cM&;JzU@DP~qx|910eXZS8D@JVL$&1&7~grL6)%
zFG<Q-iNcjo^koyp^l&a~k1KbgdSvbYp@7j5!H$BcrUDKSf(54e7Unj*_nonzY&0p`
zPN76Xa9@{7D4~1kWP~O=;#ZMm&bMJP(8f80IbVB@S9B><4jv$VX%h2QMf6_IDF%lG
z6zH=%I}urKJy$+@cM)&$*}Wg4U;V=Thi%L+>7w0;X%YS;@sLZP#*LWGP`2%i{wK3+
z?MM|KR2zW@^~w2}r1D(Qe%3*PJuT_w#*Z`N5nZy|r;@*xY13?oL__%&I8~E2sJx60
z>#h%Y%9+<)CvlWrHf;Fy-ts_e_9Ico%(|BQvBc~Ws#?9fT7qWyvnH?%<V2JPzFDF|
zMUR1I3sn@>OUqAOU9sgNtctfbPjuZdN4O9FV`g}Fmdv8W%(~^iP{D^H6zCjXUIk$X
zG>_D8E1#ZrOz-qA+i0D(DhMx?j}SzfbbRVT7^7+$;U26Di<Hn6oPy$P9WFjY4gQEl
z;857>SwgA06nfJo*r}V$rJKyDFZg>O8Euv9dFkQOIp4{=;$j_#<$ifn?3VXe4_7oZ
zgcXtEY7cA{UNofZwckcdJB0XdO*`|5;qH%o+YjjoLUxnleR91nkGSCpc`gGQh$W%}
ze&T=?c<43)@EZ<USd<5S8Vn-qJXp7Rl^AoWJOL1pR~Mx5zyjt4@+X#8!L)__I!E0w
zU@`}x(et7KOCn0!*cy>I9B3$=@^1p}%A#|i=o4J;wFG-Pz84soSKH?Q^T0}}M?ZJ4
zy;weq@hzMstvr}pfO^}R3!v~qpYBI~w;=NtHzcAIE}`3*(<o}Fl%i95D0#<WmFl)C
zly>kDlCzrhly~rFiG$uXpXx!pn~oo<h-X$U^d7?<upX{k`TvkC!&A4##LrSa_9A_G
zn^H@d-yKe-RA@NzmZg%j?p>ayD!{1Qs%)9fBj4P)lP`GZqB20ilCb=BscHX$4GlVU
z$Sss~wx8=e3Bj<@0Cg12P={;By~@n0BD%&M)@3XX?LV}J1eF1(4>AK!9ADGR>Y;8p
z=~QVPG%I?MDh@_my6+ad+ureZh;PMY2KD=&Rsvjis!Ce8IEkOD9s*En2gq7NR)nMw
z4FGSs0kqdpXqQRj(e8ilC3W6U@icn34u00I^o<-}Z+AI`V-JSw(2a$?df6u-l3)Br
zuh$C(KE95+PVAPfs_9#Ac(Y$>of(t7r4o*{zm5X!C-<=4`uk#wiBiuyj_-r~8GpMI
z;g<l+ao~^kSzpG1OHmKt=r?$nD!dubjT;Rp{y7;$L`s5i)~bGS=cm#GBEQ(e8O*@Y
zD(d8Uf_wJLh^W48Acw_v-E`Rf5mw}S=<i?ussV=kFLyA0-c&HVfs-L~#Baw4<8s1m
zKCdsstzB&++p7XhhiI)|w&)IqZx-6zKb>USswZ&!aNwnM#z-fU?W4OAqQP%Bjvb9@
zt0Kk~jY^y{#)-FFVZoGh8`;f3cXGUgw$+5)CO*YsI@`9-O1hH`eGG>$_rM4#rN)LS
zt3=@fX&O1{=|?00aJNdJq?`O)_k2%Duk~EJg(&#(pT-y{BtenZVKv|NX`kQVJ+F#6
zPw-o@7e6w_jnQSV8}srtMYD&cR4L6lx^}egkbtf}Osbl1rEo27MT~z%RprWQdhhpK
zarhot-Rm~6S%xt=%;gCV3XfHRS8PddZ#}pN;{ayug94a^>!>12onx{%`jrHFN++H3
z)PclN<{9M(b6JcxK_}rID=|Em>2r0Z0_zrU;2}T^d(MIp2LR^M!*z{WS)Q7=y`*jz
zFz12pNP!StFG5VLPVCypZjw4BSM~6e=P_>3@T=<mT3*jDXXuhN<b7QN3IUS<0KQsj
z(2HV|1XKqPkzL+8HRXxTX+8<1A+)NmJ)LD^vZ3Bl-a5#xT<+a@^twj*Szo!A$RRzh
z|KBD~{-e)9q@PW02tC*kJVkhT33%NQmyLINyGM|7*%3eK5%kM79F?uA>}b_=5N6Z7
zn4xQysg!>WG~CC9t#(3zWQ8$C?Dw1UsjqK_M8#JZd+sk5-NC@0oz%>wJ;T!;V<TV_
zzN@KOkolb3E6w(e*mn`DMLvJskLr0tRqqXL7<AhA?9!4>9qn8$BNh!sm*|NbN6wf1
z508Zh3F)u9`L&l$y58uZ*>Ro^Xpab|5gaD>ToGPwWD&g2{{sYQ<)?oF^xvKxh|a!#
zv_T)LKds^ED{G)Q@ozQE2ie`5_(2w##Mk96D7$d8h{;m*n<u<p>JO~ttR~K)Z;<Au
zbduUkSR3tIS5vt~-DQ3CLv`&H(YA0bRr|35qLu=!Q#}O!adNax6}gY)@{ruYE=z;*
ziFXhTm5cCDh!~bZ5sYui4!%Tse2-ds0~9f1@G$ZVa-LigEiIol*{BA;hMtb=cGrBT
z*{DIi^Zt&z)dNnvma9^MCU4``rnfkYE%FbNSa4;xj}a`VuiUPLz6lKta7~zi1LWRJ
z>K3L5Z(zEpxK7>wF!iDkf!jx*)0fPxM!TmyU*N+|2_<v+9Dh)mJ_oo_jK<b26-Rj+
z4KXoB09-qTllE)|?A0$)Y5x2jRpU|F9<==HDR?YV_HAzmsv<&*=e(qyGe?z^8#;+o
zRzZ4icXLBXYfRd{KIDRpu&=&YJR0rsAI);GEPeK3=#Ix2o9EZ4_YBEedR~tblGzrG
zqOo!&YI*G{RJh`<IL=YC@yFG(tVKmn%C@PczT-66u$0dUi*HiY-0317XLd<x(3%Ya
zkNu>mV+5Nj&Y@2M?P3B7ns-AV9ZG-H<y&f}iPT>iyk%Ja?z?`TUhutuU0jC0TSW&c
zLA@lF{HXun%;kEoT=89XQ}fNn6+sryczi-K8XBGFe^?Aml`0%8f4V4BnY@v;$BrP}
zt{Cs-kNdP1C^JI`NjMO26e3fYZ=D5aC=`)*ZEvlDH=fX9c$huJvLXvqI>oxEdfpys
zy%d)^p<+;jx5=k6?JtPZFO$cu&7oh;&uw!e^4~DPiP6)<ZW^HF*%)5cEaot8-;|eb
z0MbGoOV0+~y5Hi`=`K<dau4P^@Q*nq7AUa}E9RuXh(QCq2bQYX4z~PEP05lT1FA=W
zgavdO&EMn0&B?XvI#zWYpJU!k)M1^~_PB`3dSfjvXwmJBORcqcx3R6P=#WPc%q3#j
zkTt?T3pUyc0sS@V9S1?%k)Q#s*Q*2d41#@|B=%#s5Og~}TxTx~;raJysHX}dth4G{
zC_JtT716JmrCpSa_p^~UcCj*Jyf}soB?7ZJJyQ?M4E6pu)_F{MJeFUiv;)7=R%Ef|
z6rI%grLryNJa%}`ViUDw82xcTM<kW@#Nz6Qa&Ds64=WA61f`P3%zv{NiwLTGPxDh;
zB5dn{w*FBy1wm*w)_`=Je#fGnEVHUC$*{%q?E?3kc{jjJO!3XrG(K8r<}$i`Hdmxl
zE!q5Z&rDxe-P7{R!)FsDjK5l**ni81rfI$ME`7)~+V@DfqNSk1U8MYMJC3<dTboPn
zPnX22+%MKTo(lCSG?F<j4X6VyVgh9N?q>1LdL{#*P=Q3=c688kTC;1vNF`BS9h_j}
zH-T_Ajc1=~L+<+TVjb7MSPMh%ceE#tPU_*m-@Y!&tg7jg3BJp3i|p$D$qd*v!1cBI
zVO`V@eB+DqK3J?}XDU_CL{A;<b@=kkC54u{U_27nrx%d2!lbG%9YtWO=>S-u1gu`Q
zTEy?MXB5p$m{_WW3tmCV+sC{fUwIC3Ez%et`6gH-(d{SxeSg?;0Vv{niOZ<u<Eukn
zJ&l&T6sSy)`7byD8nfTUof@$gpFC0?z4Q>FC?>6(;rvc3hUQai;O$k7S)yA~(hQI!
z>=ib9G1}t({tpj&M_%ckL}a4NFGo<kwi!*9q;lI{TYtpbY{ocey+=?LwYc>UG{CYk
z(DO^vaVwd7#^UV9_UuNgHw7n;3oH1yj=a=WUT*QEg9gW(hoq3D6&Ws}ezoY9G}$HF
zA?}}>(PJtGV|Ti8Jxi_!Z)JwZ)xEM;<~R8mC+OeUc}nw2{xn^%kJAoUBXW>%?-LQG
z2Di=5-*N>{vf<o<;L?55RdT5>U1s_Mj{IFNzmF08xQD!|N}VcK4?j6ZWR4&98`3)w
z-R8pm^na&@JT@9mCVT?Nmoo{{9@6|+UbdJ)f(>K(VJ6h~R?T*AA@CAY-Q<Tc3uedx
z<6)g$&FR*@){e3G-GjCjiojqO2k)0jGa14Q;&@*A*tUvA==lOi1GiY|RH@#2h@mU5
z8SAPz<4*eBd&i}W@#9)gSC&g~hT$-?Dz9JaY$vy`Ua?3JB}_f~p`o;Vcc1m<d3{@l
zgxwQ)!%Y2i`0V6Q(rT{8y2_IEeOE&X|GfFbHvu-q2OMeqagkU{{@JhRD}Lv$B|PD-
zm#&(Y{p`!T*3I=<m!->9Mtp%4&*Zd8mb16_a{V>zOgP0N1A4C`rO|YCkk=K4pG96|
zZFIcS$YbhGntJvn{)38GTDq^RX{!r8a{UAk9pdvrJka_;es=n{$XzKWI9PBuYcI2_
zw!L-cJE^%MOShP|;Y+T&{*A}Kl#_0D>MexQMdla~wh|A_pC~+drf{Z_wOVDxB*j>?
zUQWSq!>Pm&<D*&ibyR?1ws8lcEK5;ZY->WT8iKo$tVgIj=vHA&{3CG0qheMgs<D~K
z`a#3j4<xq`v)oE7i01*1EnPwsKVYdURj{_++GAVSBryHN0@T(mlET043S;HA7Zew#
zwG^rvw;dIb7`nFyh{PuDo?orUwpUcc2o}i2FF0`ZR+{Bg7oy_p)S|LET*WhYtcsN>
zn{FX!2~K?c9VU-B@?CXBq>0drH)Oh?IxzQXq&oiIRn=7TVGt(6;RMdFOY3^Lud>46
z#IVQqQVcktAn_<P*!ItYz@+3*$$qrkFP)E4eE{U0vyB?q7|A!R`AX`KPl>v8uo7-S
zE_u>xxkgs3L7S7ptpXaGM$y}`C=K*A!I|vlhDGRPLW^(6AC=+ut*x)F#;gnnOTn9x
ztgWvZ;;yXl-Sk)%)JNL>GM4=L=&X-l%8QANh^70ru5rM2$79KHZ7gC^$-k$+3ti?@
zo0tAVxT<pX<&m+lhmtCeeb(sM1qb=4j>^=NS#yIHM#)%zxlyTWti)ydZ81(fQUayX
zt@G#~Hho+^*|rQ7!^<zp9E%^gb3Nr)<0yvZgRjwRY|-K((VaBaMlbo~K~h~I?|h0B
z?smI{qtN8H|NQWdWr5W|l~_pSZAF8FwLS<>Q__OwN93=G+>b{3A^G*sxmzn&riYL2
zWn^PPu;=YXruFa+EZRpT;m@!fg}NwzzeV_{-J#o&cz|G#<E}T?FlYRj9>=?-pdzB#
z>BfGa8`;{Id4~@bI;cu|E0o;s<ulmoBfH-6THt53>|NnJoNLS(5+AnM34I~WFj@BH
zv|nPp63NfIueY&)d`ZRA<0B|u&(7wDbHMZ%w}|kzdLw6!Zv^Kr;jPqpmnS*mO<tzQ
z6~?9R{y4tja75z9Ub`hM@w$}juDEOBg6U5P*UfkjuX)>WCzq>kL|c88*KrTFTC1yy
z?PP7<p+hD=&JXfl4xL?B%-fNKA;y=3W>LA#g{>(a?580cHAyN8)$gNK9*@e7H=#*n
z_-}ugVa?pI-)fYn`~09PuBOP#!8lYE8q`h6yMDg%uD0V{=6a%P2)n_U@(29M@q`wQ
zOTu3te+g6$t}&WlAi!LEhxZqkZVT@Mril|#8>TJr07+_QDDs|BkT3oyo3P6x<@}{i
zI7|1BvlW-J!V8`!v4R5JX7VvY`(kLjO)SggFy9I})AgGhduxKrEqT4+ldpOqst)Mu
zv=ybS2+eKm76+o=9^=J{-jtyN3*+FR5A!T#>a;$N6|p%Y_RO_$=oE7e7Y~a0fB_da
z;^O&DKbz?%BMth_sdup?Zo};4g9W-ney$sWIvBZ+eM`)bUQHbPaL0L19kV?McfRP`
zHQs3K4}NpTh7P&C5JHHA6zC#=kV){FFVIY}BcAL1l(6U$Ivc8*lT|YJ<(Ik|H=t^s
zd0Gtm!-mB*v1}b3a7{mdeLC@<t(9EuDRLJb6B-K=^G8n?GV2^AZb?dhX@j01`$8w#
z1-@MmYj!MkX!NKhH&J?A$MVU{)^uv)|1kBIVNrfzyEom9bV*2eH%KET(gFiWBb`Hc
zNJw`}3epWjr*wmKgXGW+`}Y4l@4L63`Q&l0HP>~<Z)qL1A9kdJX1lfZ<}@(L${H11
z$c7z9J`+}kk{Wv~GV2+PAW;~l?$Kh~+D9Vji(f)>6%!2D_t4{H^i(6-+*9dH*o!KL
z`VC!YzEZ8ot{O+Z`H?`V_|4#|u&NkT1#Bk9^T1BR==!0;WpYFN{nrwm-Z^n28e~<W
znx>4e3Vni<QP7`vxZ+5hSv|-wJ|ek>21aJpf-mBP^_$B`KKiHq{&w22OQKa%-dY3i
zD(pd_XZsF3?b=qE`WV9lQ^gj+KTyeK!xj=6nH}FG*AG!Lzmu(EIc-pQ)zOj^reOG1
zCnfxf$KndJer7zl5*$-)EJ!;(ux3LjnYhg<!f4kP6tiSeP||IJil7s>Ya}aApN6bd
zsdRU1a%MpSMsFzda(u(&da?GGavRR};n+)LllE5qIE*`fW%L9e1;u$XC$S~OGy-}m
zO2pCUTPm&n_6pyJBe1}p$Jh#!I&<oc_;e8Gk$av8zjafLN9M{=&+5IQLv)}N-5U<N
zzp!l(oG%?4@(=DKsD0K47`K3y_9T+Vnp%BUznh=|dy7Qu&nYrsM8ZWI9+5viM5h$J
zN&P%XTbNCCth&`QW84N`EgZyFQzwG@E4Be<yElgg<9mKwDj^XooZSLH*GZ_KiG`4N
zRzUJ^CDSWq&T~~ximkPGaE~oFs5aNztZ8@&Z7iFJk1#U--)c|BAiZuB3`FC_{)D7n
zbCIx)cwHu7>3aeD+YvzDvkAa-9EYfT-X^@g%wpW0zkHks%PU_Hbm;0Z1OTBtpLy5N
z4cmv>MTD!uM2Y@@xt0N4|Aj>Zki4Eh_l$5sDPy4SOGqMi(hb79xBUWD5*?4e*39$}
zLsJUStha}_a?yzb8xkX+0(z(gk|OAU!uy9fCA{9p!HPi9YT40vkS*nnQ$Zh(jak;5
zlJ?1SdIZ|-YwiapG5Xs0UlG_nn~p}hg$S3yx!4O6fN_xo&9Utv+sm^6dK$6Npsz61
zPp;?xY%{k9ZD^#;g4F?HFQCZn8?%5o6E!%5G%{XXc2C|Y=9CshW+ES$2JxEmM9BX;
zSl6;#pvFAqg}C}pNb`46E=K9`uQ*%PJgIY3S@(aJEdUb2bf`Y3rzU-s1=zh*58E)S
z;gH^J?w3Lpn=<ZYoB+>cR7!qRt&drWIq@GpC;sujtL51&lWy~8zcH_O2jEPZ!#62>
zzR0rsp^~Fx-0Xz$id4P7t0oXuj!NFb3vC8f!H7gJRWmP-IVeYYwd>gF5%aaoX~%|{
zTVmOU?D(NT>z15Ny@~D+P!y?iT^1A7X=}!+Bg|^Tz!J9xx%fIGDh=j=4jc3c?A!xn
zgTIie+6{Kb3`yjVdn~)j@rVQk$1X|V9EsWFEV!kuGuDsA4Uv8BYBHiB0?t)rp7rO9
z1(Y^UhNwG~<Gt_|%>dsvV^oL>jGN_vJdwPzsX5fZ`LUbN$sUF<sxGn5CyX?>1o=xT
z{HZbhUsB2&V49`lDY$`MY^Mp`>34(||0tgYyrsKztW`&q8vJ!)5Q^?2j&L7OM;Ml2
zhip&XRkP1p@AkgNBf9!V%kr&E>WUg1q2G6s%~dB#bYZODW6WuBGzzVcXIvroUwSzN
z8p6art{!8H4lPC*MTm+KQz08Hu3YkXr=UEjyMRVWoL{4JF~#0K#$w+!sFXaOEUpaP
zfikXnVpS_h*+#pouv#|hj^PFi`^yozTQ!Y^>nxnwv$L*aMfe8-vK$5jp`vwtmO0DS
za9k2*gs`T5Xy29D7vD*^+aL1`G`A&akJ_Bie7j9)(A?HfPOEy0uu-cK6l+NBA$PCq
z7!At!^EL;zGpa#FWMLWo5Brjf6)%?iS;E4PklX*8LHU>UT}#6ORTq2yhUvpHkk$ie
zqq2$SzoTD|GY$!^XF(}@IV^zCKNk#i9<1LVQnb|Dm#S}16BA;{#m)yPw-Ns(<(xL0
zrB37sc5?dYLi`A&41>y5VRNKHov9swei1DRIDe@GIdVDIPv>fIBKGY0BOL14J0>GO
zk<pZ#>g2`)oHZ+{H6UZhfOO$k^CQr$>y=wsrq1CP2r!i_so^;!ifAm6AbOfWF=&AN
zD`)wASIF&1!@pm*ERUc?aNq@L2w*qTL#lW$7`Iom;{<F%1Rl(}3_=93>>%sTA6-^(
zK?t5s3#+e5mO1Q-UwI*cT^`!OkB5{A(6VsDf(>RkTmIdtY{0buRE{d8%VpM+zJQJO
zjDq{oe*@w<Yo%L69>S@#pFJ~EW6oxc{Q+F2`JbXpD7yQI<4{K6SAF}1Wz+(B%$IHL
z@52PbyDVB7H3knrQnCHeJt3*->#IhOe*Cutr}v;#ZmtnqN)G7;l;wWM6l3mMT*$bV
z%zQ$(b4V~(Q~UBK^<PPF-<HcWt~j}L^Anpg*ALo17s#96l(AiAT-%}8)Krai67)eL
z95Y-|{5KOa;$kUyP<p6>*}Ut>sn`{_Rudzf45ned5G~${z3zPRB6nzA^SjyNkLQv&
zyzwN`UEwbfxfZxE4oj2tz|6<|YkGv;z0#ene7i(iQ(OC8!Dk0K?&`q;$BT9%`!in#
zg!B@keWrD*dOL)9U;!hoWd3@IS5#ds`&2EP0eXa4o{-KEL{6Wi+U4>f)!f;nC0RcV
zz<$hr&ggdfUc(XPl@0?vs<o{o$Uc})gtJBPo7M@A-a$)tfjPbzO@O7k*{SZcJ_+1T
zfggO`$^)I=BRrFE4t$v%k-eNE^0ZclQJgS%YTNtt83|Imld9|Ml>6m^zh!gO>~RMK
z*UWePAai%kv3Gz;u0#EEVRT-6OnCkKw!Tr^MuhpRnNbv>@H1IMwVR+|*5Ngp;$Y&J
zBI43gf?fEx`nS*8e_qQ@4W#X_vQd#lUNLaRRVUN=GZBc6>-@kWr=_UvOmLoS>V0Ay
zII$BuYvKII7FZ6N@?H225%>4kL0>{KlF0ICepxvEH2BQ(X@Qg3VVX}`zEc|u;l)4D
zKJQ-rV_85KgG9?0-Q}PPH!fB=cEf{~J;3bp=9b@gNuq<|`kke9(X`cz^#NSvHwb9q
zeSB5E^?{c03_aoEf_dh|Do(5}FxU1uW<6~eQ>xI@;Y#prJMA?1zfkT!*XkA=V=eE(
z_}FDSD~IkkTni-cW$}3!+u_XhNZ`@C(TWLZ?`9yp^HyFOOD|Wotd9nI0~2be?-XiZ
zXcgLMQ#(HL#Wc%bQy%P7WXt=4i7@1v>@8(@Z2L!mQMBJ3kScC#&p-7<&ADhomj4D+
zfc-04UwzLjz9xJ4v$nd)W&ztD@;di2SfKG=Th4<%l7Eep#Tls00S7Q{;hP{wnf?4D
zTkP940`s81y@X6{;~}d8p|+4sI!H4Chx^$VGLBN2S8p$g_kF$eTa`c84z^bX86fAV
zp4bZD+dzm3mJLW4ZRgpmhm3HD44({G1<xwuh?Ie76g-g33YO4vS;Fb@#u*YhhFxHu
z>{>Rb64yw2kXB?SP5IpbZU9dvlQ^!em~SNgD~d2z)|X4i^phCO5?{y&IPJ4NiI|6C
z=+IJW@sfdbTo;lUSx!4Eo7p$vYdU&-SWg3<R8PB9M8j%+Z>^Z&er>53+T9A1)G(aK
z`u5!NTHfkH<encoSvG|t6ya0f;!wQ6UB%_4X^i$l)ki68k5HZ~{op>3+wpvCk&56Y
z@({fFb^&KNbhWK`p<~t66zR><MS`qq8erTp@^*TaG<)}Z6-loTy{s(~Q~I@aWVg>V
zfDCEie54K24fX|<=Dzh~?<1LJ4UR?KAclwYeCdr8G9r1Oq6+8FHE+^LMOv@4v~l_n
z<)T(e%4PUz42$I&t*8UBB%X+gF7$(*y|i9rTKMxGr#j>Z%&TrSN7{08dM3+wJ37sz
zYcox1z4uz^LycX;c@;)+)WQm~$Vb*x<2J8XP3%*Y=%;V?cb@hWQr@)t^l=;8G2R6|
z?EJ5cQJKuKx5%%p-*h~5+SqS(`zN-F)m(H2(unO{Mq(Hxc)JeU%W(H`ApNpY9eUDA
zV~+6S>ERkhzw+|QeL9J6>paSiF#;_w+FNk1Mu!PTPgp|E80vi6fhe%UCUdaw{cjNx
zmT}=Yv)$R$pv!&uqWaPzxUApjVw}xY9y^+|%)KF`6UKqTuc-_kl@i12<~q2zSb;r5
zYgi(MXU!Un^|!)_qekjDcok|n{hCx4Tp#W|-F9VFxFfz1;6Yu$(~m#Yk-Z~=AAU^!
zmM8ZWo<MnO6)XE$q)uP;Xd2PG&^-k@@i1AsT#`p#_%ZSjw3#r6?f!Id$S}BMVRjC5
zIR29+6S<&_v3@`>K4GAKJ08kTQXRffU%Jn2qySD;HU@Rta<gX+5LN&`t0n~Bt!YiG
zT7EBTuY5*4yaw{r3xiFs8abYotlRE&zd#FRm!zX0_`)V7;R1bmpEd&?hbz>ofdasw
zK1Kp^IUfsJF2j2=fx0muAo>{j@VxJ9W8Dk%mot_H15GT;LBt5e4kOy-nuhZngdT5*
zEyU=Tm+Gh0C;SD<UBfq=Ax)rV(WsoLmA370Woz+|C%ycjPiMtX+e9Ng<EX|TE&=;E
z=cheN&;tDz6wd-huqmP^P)!k==U+>F5B2~aS7D)10FO)~?RPc6(m-6wdXf3c!wrms
zGlZp=(-Z1}-i~7I#@p$K;-jk9LHena16;ZPHpJYEns!>Q_|1?%Qk#h_rlzB!RTNHF
z(npD#ZYJngn=j`(<EpPjJQm-(Slr)!!RU77z@&`B2G<sPa)Px}Vz(^erO)#^=oCFA
znWkA6!J14=+L2@!A4W6fvZR6GceLE8lS10+n;<AXLKUlG`{Da0-n=joUJ_}Nc>84?
znz>~2{oaiMO6fInz&1NSU|8?#?MY*uT8%#2U=?MvX`t#w0c~wb_>bRjU2>mS_VcqB
zDDO0Ox#dp<n(_ahUOStKq#YpYtv10IYo5CM*uJ>O$v<A^EXWcI@br1|bX~QOg<s~1
zX_U*=5oK&WmU!<LjE#k*9LBfeMeNYEV47zkbu6}y*JE^yBPHOQ(hqbr|K)`9ZxO5~
zXJz<`<QFz=i}aGf>4JJDCyNE{4@di1`pk4ngXtH$!OC?+1%GyRl5)wh<AKDGvY|$w
zq7$~_urA-a)sqW}+IdK*ip^g<@a~IWC0;1YdPbWSX;Uu&|FmXJQ9|3@l9FMTb~NG6
z?4*#a!P~1dul7dN9Y@|5xWIX#;jB@SV>%ZojH{EdjTh@%sUukHfCJU5FHG|;(JVAF
z%IjxdRWzr1gco6wlTAvTP6bf#v)Z^_+H40AHs0KnK5eL+B=C0$Vd;H3+h1X+jV%$6
zUh*`K^LA*a0H@~)eLysNMd)k;0!4LS5g;N3-Uu(eE3}M!QU#YbT6N4q$`&8_k9K1U
zR8+h?drKjp1)9I$$oBRPQ`S!kU0hj4Mqy|2LF;hBvl`47LlX!ujAku`d@w{*+t={%
ze+dHVmyEN?wz9(6Vkw!KBX_0~EKoywS}j5=e~zvEkVb_X=kD_lY@W-lO%;DV*=99q
z!<bmj(!cN0{gz(bWp$4V7|c{ssAtoF9Q|Ji#1FY0*h1fI#%v0@Cxut#y8#7Y{yZ#*
zT;91kzWZ5E#GaPbM!zx9P`#Pt_8ey~$xySc4QEG7Ra`d9NHgR3%l+?mAXJb?F5z=|
zpq5R}zi&8M0K21ZFAWk6P6t$@!3-#nK<r;_0NjQTIM5Ctg$1N|JWU9juec|U2w&3A
zA(`iS(@15~$F`7jNiZ#F7O?s?=ioyzb~$^sAwXpnXb=PD0>BC&LWJ%im@PGI<ym~B
z?@<6~Uu=uLQFajGGr0GSETcUkI!D^U@+H~@tJMK`YX`{xg|d6d7~%v%ph4(`bwz)H
zik&ghs*q27p1A0yxuApRZPdRmi+G2xY!8POWB49De=P@Ac>I6qI`>Gjs>2(76;O<q
zJ203E5GVD2_}flMTtdD@u{;ve7Ou~{F=76BrPgox>z5TnqVF-5+UwGo(y|=0m}6c-
zi?GQqU7S@lUb8rgZ#e@KID@%0pY>hZg#SKeiKi`!f1_yI`MXlBXYqWJci%3~K57yy
zVtiWbBmcq9c=I8p_f;qYBkcIoP)cVh&LCGftH__zEUa<mW9*h}dE+7P`yZB`3)q3Y
zf&J-oI~uF^m~in{2IPCukkU#V!sGqE6C|U>YO25cdU%UuPlgD-7kBTfrQnL-znFS|
zQv@Cdu0D}j_K5fBi@99=U98A?z4b_fU)YrqFLbAGKhIPyPl|(>VgUiC1xeXcR|Y9F
zJ7Aw2o{!Q>nB2h=A^ZJJv)K%<9I4glgRHZlpEigyt1EP;7p9-Q9(jp$?=DOc-P1hT
zQZ^H~z2hH^ZOmLwen=@+m#rwH^wGvPc>^Q*ShP_*aNN#v>={et%xyN|{2n_#(d50M
zp1KlZV{y<W^PMuOTcicWOh4J9N>|ImRw()Wy}M79(J;G!nxA`UR+W2Y-L_A|qaDLb
zg`qt-LbZ(lwix|%9H;SUf5XuJ%4x{iY9HHee9IF<&BJ4S>x9#KRKY=FjQxqn^s4j<
z^tPcJv&61=;bLl!-q5AjN~0Y_ZC}OwNdY)j$j*wY!2vK|hJyOvha+peqy?MY8j*k)
zIw{w<Vfpp{XrMb)7pv#n%~R`QV`)yTYZ$L{-p5Gc|G#m4;8+bouf+@g?8!oE0lyYr
zV+2jrx^c_NdSsYb#G(F|?vV7xw*gtPoBJM<!*@~h<(^#3ofUC8921bY!ySP7W8k?2
zG{3FC%GT}1Sb!`ICO0byg{xB1JPVY-9;i0o;WppJ3A~^>lx#!e7KG9sE&pJ@``dCc
zSb{dw!O@Y<xMLI#9m`Rd0{3pN{kQcxYKw*YC$QPgA8w`smV^xT89-IIwY;TXypH`N
zFkop?1rl`7&lLsQOj7rzm=NtCkH-?Padhg<ex@<U&5S=`a6kSV!ryYU0d*LT5CN2n
z)_S1h;LkiJsFlLMGylEWZE~P3_#dhx$PTMzE*PW&Fo|Z0em3QZH`9;!uINX}(Za)9
ztpv#YGxHtf0+qK7XE2D%_beAwKSYS!*5p^Ym{F4q%FRg5vv9FJ2&M2ou{N>@50-~M
z2csk}rNo4Js)QF+SZh*SSNW92S<Joxr6LaGsxMixb6rtak!%}pVaYSpS^r*P{YcNR
zJ$eI^+;uheD)!rdk%mQcxXi1}$+?yi7jwDnchl}o|LnZH>@`~i`dJqf%F`9AJ%N4P
z>Msp$-8$K@HhBDUhrDzSrJqt;*@`yo?x(?tFoNomvjpUP%1^Ny`RmMQIFn2Qj8~u`
z-PCoFNlK&)(rpTh-*>jq6SO;(7AHsH{QW=}yIENBER(Kpl@4Xdt%8_r$zlzH1VT-)
zr2Jg@^w0Xz>!i*LNJ}Jj43dsHqt-ZYesG#pH;`(HSu_l*??&M7U2PGr@vz8Et7m{v
zsZJcl<a*A}CN<ms8Z2jI>&|CR#ltK+s<}(Ei<ZF*{w~NNUBSHrp(}SO;9gcrBa4~V
zcMfwKUFf6ZiW<BZBe?8>#lYG|MsqS>k7`w4eBa>>nb`<qw>UG>AbzRzk?|a-BGy*2
zs5VC8CJTeyOoi>AOVgo~8pPnNp;>c$j;P`AnWy(bb&TWrHcSmW(#^A?6EYH?(xSA8
z8Mea%f08kwe10nM&7*g*nbYswJ_*&qXJhpnO0{96$97NGBVWOM8@4t_X4uM-PQizl
z@@b&gKSChH6npxlnc=tX1oHIOT9(1CzxqKB0qg2YR4sTm6i^Z$<zId&jH<2*f8T_#
z{bflhjY9;Vcu9<PGqkrFx2p~KjX5o_A9O6S!<pEy4ySmz_bNNnbb7e$Z=$??zW4ty
z4gBmV;h58ZyEg@4mZGPf;K83Qh<K)7Ts1x4tyElvwi1Gd9<ToaFa(a{JYJ{yFWskW
z>|tkuyv}7|v5R@pJ%2PZ@W1vQ3#&TN?@oB7q22WhTfvfr$9dRcRQ<6#>ijq^!ZE6V
zV`j)c65!@&2S>XBH1dIxi*N|hg34l@crpJ!ED8g6spllmgHQ9Ovh~B*K6ZC<7pKig
zdB*Zd?WQsRno`ekZsatezXH`<_!*#|iuEt#5Q!h}zO$poJ@mSea&&gGnr`utm^Jgy
zNQ*ua99EWZYt7%TN@@Gdsl3AV3HJ4r<wNzOcAFMhezXu#De5-nO~Yg}qxju-$hYmg
zg5%XDn8npd!p_>9SwuWWLB8p{>IfcwRjn~?>m8r?c#o3oQnY)2%<s&xb~M#Z4ZfGj
zTy>F0nJWJA1FbE{-?dJ;_0AIeR_Av+En=3~KwOb)A6LXVBSxdv2N$ybg?CvfR{Yb1
zq+qJucS`WaM8LBeLN$e&JMX^T(^ZJc4qG}fZRYq~TpWJrN<VaRa7zTO39Oo5&@6KZ
zS8VbC)XplqmT1ak6HtNCB%}PUO6%TdEioXeUr}36gbmgEu4|<jAj#=E@Ulx@t+O$8
zg!kf$VYmCEq@8ck5FG*3v!R_XMtVCyx9mewx0m<J)D}MccFwlNX%EJ>Y0UjD=Dx`v
z==526GsZ_a2wwhac=%n@fr=g05Zl=0yyx3ujCDzWg}(jwp^>aaIk=$RvbI2P`K<us
zq2%wBDD>o7@8QT-adzYBsdEk#l90r{>URRX+fnyB>Q6YL084Vk>%GZW#6^Vy?X_Qa
zUUr&q5kz;ME%B%q^wz`mUI$yQZ&eTMUvNSKP<ISptc>n=bXQ#~e>8StR3h@Q#$dkP
zP;+6)wK$jRv7tVbyG+}!JYEMAS-XvN)LIw(Pn6=n+qV!8bg7QYq3kv=H5O&j`=ezd
zzl_qRS?>{Q;Q9Fz;_=00ZtWGB+C`BspV$p-0rC?*8ZaX*Y=uEG5C@vjEoLuKwp-^4
za?~-&A9sTc85{Iv|7$W-j<7r!<uI#CXt~yzL(bX~^d*uC8BlltoP!J5Hud~!wV-G0
z&ZbyKj6gI2n^(xKt~VH1n6kwcbWZ$^79+0{-twrAcD~)pCAwUT_6SPYH#=#sKCFnL
zsD(S#L5}xc;I2awgB&AO0AZ}u5TBKBfht9~ulUhcjeRLlxe`_&^m3DD(L0?_4GfO)
z=r$==vsp|k6Fz#vJ7Hjt#h+`}OQ!zS=-LM!)=R|?-NmXzC0n?4KM6EO!-M~kU$#CX
zEZ}(sQ6ti47LHJxz#7m<Mkoh#R_mKC@Ab%^jCdvL%vji4&yT!2NtUgsebwGG36T2L
z0M1|y6{Av5Iyn9N3*j-$jCI?3AnHdr8@Kv$qJ?x65ZvLg8U<aigeCLFnXi+68OzP0
zQ%XTVtP@@MyG?wh0Okg=TXb)n?M+mfmh&yis4@*yRJEzQw;kgB-A`u7n-6)s>Yr!Y
zOKI)C*1$dZzm_rw#Q08)Q7=AwY2oc$b+Ti+mS8H@_TQ!)NBa+27XHdW_Q;g=$OyT=
zHt!sEt{Ty`LZ3mpI5%Xx)5fo+7{AB#qI8MdtdXJi6`Ecw)fl>F1IA>ps`;(C@n6L7
ze~wXB9~!euEd{RNI#;g(JYOw~^#wkZIEB>TWBF90WZ=)DZwGbG?xx$k(%yi-J+kzs
ztTkoY<2_<Hlp4>w-c4eDzWaFY?<$oaeZYsM5DHBlGYNCOqt!JT|67-_0<El|ew3_h
z{Hf03&;JSA&x@13wNg}ew2eMYz|bHbDxKA7Ca#zem0@Mc5M^TYDAke{6I{74R(@R>
zulKrmh+J|8zw&y0>%O&U?o{D>-+Oh)FmTz{`nPX|@G+G7&02_YlH(>pkDVTG^dGJo
zc;t3-EQ8|zIRKp$J!I)VfX}2xy2-~%k{*g4*r!0}lIy#3|8d44*<&1)JCSM~NhfSy
zY1(0KrJVew&bw8uiL*?9(u#2Q&=Zp$V)eUpxIFCr*w85Yp2wKw-gi{0XlNOY3fKcs
zlHY@Cpc#{+M`jjxZb86m@Z@FEW(R%T(qAW7MR*ktI3kaB{T3tO9(qi?2nN)`SiT)h
zj?L#UCw2D~+4JKvPTD~z1GEg0+!f^(D?dE;F;z{dAsT-4MI@mTy<W%`IhaqL>Rr8$
zaSLzFlz^nyU;va-=z^va<$roaw=|I2QzDE_SxSJ76kHdsYK_E#;U#BeMF4Cr9NhzE
zf0#aXIE>(5Zod6DKMCS|$1|7nnqsU(KR8KoF`el?!5MZ6K{R=j&`Qp^;`GAn$w&L$
zuLyMByzi-A9$m-+xXgHIWD%6fHEi6t@492ZTvB-OVSNf5Xsyo($Jut*<RkmMQ!p0h
zi3y(C_0XVpz&s%+>9y^$3>OZ!=T@8|HrYP6s}89r+4X@7RBZsPg7}&7x)_POl!R*)
zA}nX4b?3Xr>}pG1ZyluDf#^6)n*2wBxAU%55RW|YjykbwxlZIV3%Y*c-v;bOpMVvz
zT1ecoLi4vt5sf@WVO}hfx9#@b2@*Lgu=`!J`yLJpsY)WbVn;to(*6R6$fC;YyqzLT
zS0N6r?seJyMjM}SyvN&O=+PN})7u(l;<}DuvnjKhTChpvWE|UUf&I5;xR`cqyuz!I
z#Fqx~Mnuk2y<ThN<F_FK&?~#Wv4qoBnGS5MYCQ-y(OrV)E5qYMI7##e>hM+9@n4xL
zl*9`wd~5TC*0!_5BkQ7mc}Xi@<LRU7BKA|!{SyoSEc8JwqFM07_c|BoAZ=)W;LT;n
zhRVI{w!dl|m3sGa3e;X$6MDHxaPOoZ9rlX^c*KUVZ6EJWUhT!!!6M4@;$H%6gtc94
ze!w=3gi;omK(~YbhnFT7a?4muSKU`_Y;47m#YIf$3M>j~3v49UBlOQd@=eRsR@9&M
zciRDbXASJbpg#Jlre`x>o<OQKGns`Z;z=@eG<PUUT49M$XE^HVaWv|!i|t?rD9K<V
zD`Qn(-JUk0wHSiUllu3NWmBrd_a|N=$Iq*Am){L=&H<fUi%VBWZ2HdkeC+IlePDT#
zQUbXFQIGlR?wi`b0J*1I`W(qqO?>lOUtM7Be6YP?AEDaq?j5znkt~-7#nlxQAEYY1
zhN|ogL_th@ygNiSCeM>tkwd@Xt>Ldn0uz=1Jy1jWd=9i$!2yt!Bnw4sI*6wVjn8kc
zoq0;?B9f|))7oyWbSDcX)kgXzQM{$gwEv1uO=V5CR3K%3RKzYj8sBccpNo6Fyzw$z
zBXlFUPrY9*O1(;iGp|0V%g;S)lYCbhpi7OCO?&@Y@pLYLz(YP&d3;z`pzo<?J~I4+
zVntbp;=(UyEZsdm;K$8CD$wJxiY?-6{?wfdjIJ><*OH4zmsRvSHx|gkZiG5lO~Lfb
z)`#!+MDnt3L9(`CGIv?{a5V5G^sYyUSUR^gNLmO!9`~q^sE7R}D5{r#{&WtEf*J<6
z@+PI0&{YM6FwGaJc7bK3SVuzH*Ii;;c8Vhw%~5G3yQHB@ir<*TvcJ~{oOC!kz7t2e
z1td!s`dV)Fi)7K%3o2WBAC?Z(Th_h@CQdI)!mkS<ZQCQcC$AI-N#JLN$4VgF7=&9<
zC^xx>`e2z+COV~HY4kic$R9i5@}E55uJy~3uaESZw84%a?Kk_LOG$W(Z9Kwka_kjy
zDtOKy7F$`QR2z<q^7ek2jS@M5tLSVBW||Qqs?%xoWcQk1Ic}ZX(k5HU5Eu}^EVwv~
z4+D&4*x{fK`b~iT!=ZSeY7UKrd+xYMW3{s8Kds8986U48B49R;^){OQN?=#aAFN-L
zOZIum6$TL$1>447ow(xH5rV?A2Esbrg>E%Np*fsAZBVuUUt9+G3WXGk;1-i_B$fjf
zAfPPPT-wCm_1^ZGn<rycXjT8J^&&FlRm1v$Bl(siqSl{TZ6p!h==*G4aQo+E51At^
z+$wgtdg}LM0CEXqCnh8C)(mG2pw(ax+aReO|7*IN;I9qmhy8<A5v<zQx@wkZbg;Bs
z19^B5?s=CM8f@EI)oD8bRy@N+In%61aaj2S?nLZ~T0VX``*VU$BW~ZL&$Du%+Z1G(
zAD))C2QB6`?THeDG-LdE!uKFWFs1?^6_OKShhGjhS4&t2P<Md5GceJdn{JDd{tF?E
zd1<+~(y6RG!X>!@e}Z`i&<l%SQ3c$#&$Hh!b^giA3jx}8k!a}fa0eF8<O&RXTj~iq
z(R$G7N0LPOIf2!=QjG|a+%<<}!&Ebqa?;<*7EE%KAH>E?GZpqi=`x&|6cf_0$@V^g
zvGvVDD+pA)-U;fEiP>C2+<lkFV&n(FaI~MzO5DOF$+@YxgV*Wz>Hr@Ri5N|;mlble
z(GfzIka4MpXyE+sddCq^OZ#Z(x{NCA{M+Vu_P1e=FB)hZQETMPLK)OBFH}1D8}J)<
zZ{drsQW+2zt<gn7KGdZbuO-;}#G-vCg0U<)qM;NNAz(4vx+w$hiit;~03L!gCQV>1
z6@{>yG&&j%*N>@G25{9WUmA`7#1=qis0ci_#{cE1hZHLEtz>~P*tcArkJ<G@qQ`8<
zmjMUz#IH{lPNPyA2#6=6bt|E)O>Wy^Wf)8rvOn#c-vHA+!aeThb=^VAjJF3N6`N%B
zU$*7&REXY?r4WX|P-)aW9V@W}f(0@0!_<JJ7S^GxTFB4w(cH6>Ja$ugPBc(X=*}CL
zIqdQ4TTZwPlfKN#`_7V>Q`~l))n9g2<aXd$jmK)mtOebipa&67EF-74a1W6ovC{eH
zT7&Q{zZ5{~V$-@+c9gCd2YX>+{%X{&UxQatmfcck22u+pIs9FFEIM*6wgUl4vJN0D
z{VyUD2qi4ytubO70fa!QLcp#-nhjZ~h9UfnfpRRhC*n{&+DmX1HMxe~-j0KinR)F%
z3Hce~!H#<0DcW+Y;W;3yr>#C>+R}*leg4Oa#bU}rfyKk6^IMMED@yjF^yL_!!+(py
zG$wD+hO1&7R_cMIDq`!q`h63w<+yFDem!UH$Q46OL*V&i0vdvY5dLLLhya9t?cU!G
z0JGp$pHq_ccz=0&<~L_&YH&73A6bVN3g}1JqgTq;!oJ$7VLY|xm0{^n8i+{u3#t;x
zuYge<Arl%T_LJfP-_(dR#`%5pT)WyJ#lI2=Cdbada{!d@6Z7^W@YY6k%mMbpJ2Adq
zO2;{_$hr({C2;pOd|D2hiilQ<yDWx=nAUh;S}dYE@UK5q9C@XREZ4x_j*F=;E&8r;
z#Uj?CPiWTGD&AF;?UO=t+!uyQm7f7IPF2HqGAnCI2ATSiNx2$E|C%2_jc0xY^OAG~
z5+)LMEKU8}7%5Cv+Gl%De8<wR1px+Ev)egFGLBn1Bz_&!Hu3L|N0QG^{EgH#p&T_N
z#*zl2GCTXmZz5$&OMkpoU=FtD+oUmsAguXFK`J{WzjGzo$vPNJHl%|_uGx}(Ina`8
zua<hsl@|<MFTb(Amhoca>4q3o)lqbH+u&?77YW`Oiiy}dm+$k_`{cIAMgCxNk$W)1
zh6oGyHm|AbiX8%hILFW4AwT}kd_AQl<A6+sdI}NV1>su^#jp#Qc`n{4v33#T8~qGO
z5|SMq@$&1Gq4pN~gzXM^O_?D6O8=f*4AJ}=1{Q`69frv`5AW~wA8%bgU8V1p9hVSc
zg#N_JPupJVjr=<G&O-lHo<Tfh2+zXYwKFkxdlNBS*!qLgXy;d|Zo<7h@jvgi3|~3n
zEyWS>GJUDYe{H6^R`(m)+l^2ale|O~#Ny8Fw)#>-pZf|~kR=vyC+Te~qENZPt$y}a
zv*m~64qxXPzlI-1?My>jr{7qAJa$P)i^c4$-sfngW>d^c)Y1TV>OGZ~6oZym_~!FH
zFhzVV*!TO}U~kR7ru<pf{og66Q?KXf<tsO3SjT^hux_*=a9T2m@*R;ur(ix^E8PHv
zh59eE9EWjDL^Q_7H~m;f4f>a#%7?zDylCdc(`^`)GYaZ^9VIZ9*FXQxJh!j#aGiz!
zQ)zFKq~smDu_?wLa{G0q4VMlA;1c#7V=*gNctmDRs9GONH^LKK)z#R*2Q6~vhU$m0
zvQ6w!JR0RxaY=igjsN!5N2xW=e~!ar|B|JC6SH#FL=+F#W;^RB4C2st(MI=m1Zs$?
zksvAuh9#&8uScXEmg|&i;_O}IhCP5Y%GNL}d?P1O<oP<RU<VoO8Tg0c5d1r!^eKbK
zs9XEG=XAf9y}<^HeWgUY4;13jSDvUZ0${9i+0;5|HiP|76ssBjjYtCQ>->q+keZY9
z>sT@(*AMMm{f?{8Df0ikd&3?EJI5Nb)S5ykFO}11ZTjv)N9Ntvs<I7}sH=ZsOr@uB
z>++5|TSpT<E!(Ya^n2#x@U|GF^rke`<`oKyF<*PU;luT*szlGPneT<B1^eH4gZ09W
z=u;%6LYpUKFIBZ&M2v!f)Bzrvy~qe%>ElOERzU`1#+E=~DBRdDV$917ASB+>Av>+D
zRhsmCzJnE3xbXz<s?wum^4xN49r^05^#WMlg|hR!WgicAfZ!USL$&9cs3PV!Cx#Fs
zFx8iwSQ06U%BA1fYF^xAnf89kp!%D82wQbsScQ~@*NtV63`O}3pj9w(6pWlzC5-lp
zNsl=Oc8GevKtbF#RBu>{{)J6%kf=g0PXzCDhsw8SmMGsN+uM6Md-;jfeo?i>ewQ_U
zyuC8}2Eo5cDwK(>yPNoWOSOX>n`2Y}^oSDtJwK61-7srMSvz==aF^3%h!smNrx!|e
zxiW{%1J>x<i4yAsqk)J-`)u#wrDM3j|D+yNEL{t$<6^t(#26VC4nOBZ!`_0^&4prt
zn9nUxm0jP^ohAmvjoiMG+GCbl(I*zuAr8FLdw?HtBgyV5Zm^zbO<9XgY|uNT_rHkT
zf0P>sgIL4CuHH6V?us-;8J^-+1q%w@W?SxYGR{|XZC&1AiTs*WLlpiWPS&8ZWPz_#
zz!`AT%E)D9xl_}7h#B+*%Co=?GwNOwlUgVM0E|?6mQAP-)Iuo06!6!;qac9iPE@q;
zSHCSgcw+WKqyH~a(MD^wN0VMqH~T_6nH<BJA{}J5m&~r`2&#s*oGW=-iBrrg@lkuU
zo7AkvAzEaC;bVK<((}CDtDsq}$va5iL)VjK3KWD__}^MkZdtaxmun2*W?{~_%{>3Z
z9mTS2&VlOzJZd0&R4stR6i8dgXw~ekRG%Z~-Jwi@29=1C`k*!@KHa$k6p@1BxW<o#
zfJ7>AuS?5jN@Q+LYY#cF9Mc~1kK7E(r1%kj5cqba^W&`?6+^;oCjs$}WlgBJ@3LLa
zLMdPyXMX~|#7P(pO!YH`VlMV>H1P1dmN@P_8FOV4&V;T-0iYLCTJ%F(t7`K1HK^fF
z!MA&4fSBWE=EStWtRnF3e)m^zz_^%w7CKG7fz{DEt(51)>fN!koi65Ofn9N<MfRr^
zEXC8aWW<%?rjYP0rcvD#sLK%|HUZ}mv1qw}+2Bs-bDQa7JYHOD2j5qHKD`xYM@su?
zmZ;?El`!rduARW9t`lR*gg_i;Bb5NSkqbQ+8i}SFNVP2ULerJXRZyy~m*uU4x0HPv
z?E25##5v_2G^jJeFCil;0~hz_#O#%;9^+dI1Hk|+_=RQaLFMDv6R2OwdWHh)B`m>C
zeN2G1N5E=ugs9VQ0Ywq}GQ|=7%!=`#j7NLpy}H_%bP-*}1LYlGH+Vnt?Os%0Z);T?
z>YAuEu~r8^WPa?Y#XRubeMfkV6ZM)bIU!&);C+=06W>k7R%JZKdg&sLYr#l0Hh>_q
zFZb(<C{Tf_$)e7f*2FHrVB7F+YnjWMfq#v1Z}HTv)wEb0|1nNCuv`f>DgVs`h8UH7
zv)1KCN$qTTELx=^`gn55^UJaQ?#I=QV-&MCO2%u^v>seT1wTXP82O3|sTcIU275Lf
z5L`%$qcRHcnr|BPX5yc!Lz^_QVoG)@$I=UM`~t-vp{w)5XHgFCbavc@!rLs6WW*Xu
zl(_9R*AN%5Z!=hE45o?;;5}*OzzkdI(AJln@6`Vko_>PKM*G!<E<=A;5%r<Aw?jZq
zGjPP%b~VO|DGSu3oKM)rBaU7fwr9SLh|7yxkYus8m_T`b7^<IUkQ+h$4`W~LHdAj4
z^bex0*`(LfkooW-BF9r%Oo}2J86Zor7&m%i%AAYMil&E$r(Akvn-x+xk2H3b_tp1L
zNX*9o0@xsNH*$%x_eppu9M}$+3Ac)0oI~x50>j~)GA0EFTw|Y=p=hGPCL2-k1l`g{
z`dI6YiP25l*G}QXfRbYoTkKF<r^vx!lWaaKE{U|fay0Fe^#<*p)iyawkzGPBCG=4>
zXs)`N8msj)9jDP%D=V38p#rt15S*du0Ahu2e|-lD@&4f1Zk1g|ilnUDap;Mka@+Fj
z#G0pLLwup(-K(z%f6gDL0oaM-Xv;yFZ#xPDc{24Xj&JuF6S!&Q^T{Ll@fHy>>m@eI
z%bMC|H#o80qL#X>&6Lcp+Mw!{*(_+>u8E1{`}y4QVZ)v;;ca1$iXl?<`<)dEN*f<k
zK^|AeLlbm6uiO?37M3*K29~((WIqR!U-Oqvv=j$aJK**=^KOVp(W{n?s+8*_mDL=z
z&Cdh>#bdtJ58@y8Fzr#l3Hf+6JFL5KB%WsY$O!7Lv<UMFmY-$VSDjWRHi;{K9c`nI
z!b~;ww_b5jN^CJOmZkYsze%{v*c>FCMZng*u0x;*?!*X3A!5wU$0juNcech^$39ys
z{jl`<9v9!ctNSkZIv8{GM5oD+4%0Jt`7%%<l3)AQpuA7|v5SEU?G-2dWx{Le&<qD;
z(#l?GN5-6wM%>gyajDNA<uGcc;il}aO>*dxf%fTew;F-~$v&qM*t&`C#V1$^5;!l<
zy83*N?rS&WXxeFL?#Z*oP)A;$?b#lB@^eahH1%FOPX?4{eETd9Ch9tEB<bQ^^Q-3g
z1;5$AZod>_>|qT&4i1Tia`%j&aL_^qQ=p{CgyERz!SF7<!7jaaiK{|(YJMyqL~jKj
zZnxx9on<=B<mnd_l;*UUGh6-VOV1D9mJ>~2v|%8Py1NN>EmTZ-@#@|j%@>FvT-&&^
zyE&pd!0<xkWxzG|M0OR2{7Ob86;&>BZnS5oe@08gV?wPMgddup|ET@-@M8gpg7khL
zD+HNBJRW9kz-oA#&t`wgGcJXkN<UUPtCN;Alvg;2dtXpvg(7TxPj5LfyLA<)Hq<=G
z&db&Sv4?vsiS(nKanV4ie{7nE+&-e5O-X{DTYeqz{8{`9N7wp!KNaN+wh^5OcF4PY
z<Mhv<6X%$g-LG!KywRd`0v7Fj%{4ogn5f;2<CJH%7=J_@$*Yg#?>5^d?@M|$MQ>OQ
z7ptS2Yb>qPi_s>e3D@CyC6n#R2j0mRIJcxJkc6vFN^9=y+(`iF^*I)_WOKfOfq1>=
ztD}4Y5!K<mdx6G@u|?#cNy`j&^tlA(GavmFnoe-y48E_!h7{db7@WyqB>s%5P1SKq
z&|+afAkRz12l@NW2p>;hXS9|*9-*}ke<FM1Pq5Aa`2;aa%p_-5fl0{JP0#+!5&UFd
zQ4!wUF>!|gP2x3x#Eabin5|eP((E~SUNj86x<{6oyu&<O{EbH;vi`G`a7{m4?14S8
z)+<kY>E_M#Z`@kJ2m*Rdfppg;)Gi+fg>7~C#=`KycCo|Js!RJh$v}tU^Zj)7l2Q`e
zgB<PeUKoN-1f4AGG1+Qt46hGQOA0pGm}lu(y;UMX>bA?O;XIpEFP;^*=aqSv+Ca-+
zqgP2e6B}k-0O7*#_$J!!N7JYhmBmI#KXzj%+hBmk%-OWo;n!hJf}eZ|A;Y$=YHqUB
zt<3lu$KJ9z5opdqc+9n*Y|N9N8{DL?kxINQJQ22+Zs}e1G^0eP`!zihHD1`!WZLdF
zy?Go>o>av*ZsCQEW+g^}x2PAmcAnD)wr(D!rP~K{p?+U&sA>QE+`Xe2Dr5OJi!^4!
zT43>Jqo{5su=!)$3k3*3@sWPM<YelOuc?DvsqdVuV-Twz$apCW#(DCxPZq`wpQTpy
zD%N7+D+en2yB2=FGwDEj3n}eJIcvfNxfVAxQ3zJGR9XDGRDM`DNslLxu5grcm;ar9
zCDKW--pNWNQ6}=a=ka7DMU?``SPgmCqMo@Jjv@X`o76f#VYr>5Ty_rNg-l9@svhyW
z1&0yMIe7l&6wQB5N&dM(%7<+0BMKXriVKnhOQ3pA4T0HN9*(z(d5@)@Du?r*Gsr<`
z?y%SHy0a3N@~=q*o+K0Y@37ijrC{M$w14R$)*{##9HvK`JJI3Hv-eR|BjzZL@w6|?
zl(vm*;>}7Dk!Q~}#WW^;E$2DhZHhW|no6WYC6Z(teVVa;RU_q)?qc`aS{)utm}lUF
zZ&)q<PTh1mM##`Wo7Z=Gt+e^JYf4trkp00!o#>-6!u!`Qy_zrAzPqc9GokM!6=0L$
z{6ma{`#q}@J&XtD&&&O2jYh8t1uAIm#ZZ6rQ;smHcrK``$qE-aGGYE!p@~w)b8@cK
zOj^p5wEWRgYS{{Z?d-mO$AH)}$>n^q`rN?wG1LCf`%kT;wyDNdl2?b@<k$xFY@*1*
z{#bQrlbn1fMl02M%S)6RI>|M1OP}vb^PyoOK53qhD`h{k#Z~V55kAB_s^lP?V$vZJ
zmlsz3mQmleCUJ{A3>-+=EXIws_j9rE9Q-f?YlZ6K9g6v46fR*mf@&J#-ym7txhQ{*
z{okd%Hi71?2!am2CGI4&=D1)b{&;+Jdw^YEz(zRQ(UhJdkI8Ph{jrzD)XpY`?(du_
zUcJg}#|0hUUzXMk2BdC|!=q1!m(CezEZ5h*ghgvp0-drenKj%C9}F`BPv8#w9TLDI
z1?%)BC#$?1_Qtbq)j~XH9O$z&@#oH2|9uA}z+ES>$g>y?^^<0c#u~@`G_))sA=u2x
zDQHQabwXu8e3(mB$;l5~+ppR9zUnmJ8NpB&iz{<IDY>J%6sMwY^GUDjfQ5~DoU|x(
zOf{rf${QETakEax&)4WYmC;Z%7jSo}p0)a}d;48ybSKAdgfOekyUosYJGBW5xmD)Y
z@PUWH7({ACaIknQ;+JTV(+~m9xP{ZqW*uN~W_jQfI1S<zFFE<<<~i#=B)w@VFYUUl
z9G!7)rCVGkm`euFKK5G+Z_|o62zY4(9E-jKKz(ipsX0LB1aKilT64xTz!hG7%-D=C
zso&6MWcmsTjcB7Pxk4*!oAl$G1hb3m8O&#wd!h>LemM@f4a5ZjpL(cvAnW*R9MQ0e
zMQbPp_j`ujRi_xRtJus*a`3e^=EXs65*eDm4DINm5$*d{WHeh*rn&yT(b|w@S?p=j
zLi44_rI!p7HHp^8U9HdjT@6x*gbkkwAa)T}h0JxngxPD8)w1UOk#ioY{(pYI8n{|V
zcHU&wr^4(FF$s7WY*Pl$7nhNgvK=rhI%qy=J>dwKI(mxo;lF*0SN_3)=v~SD$Yi>1
z%FzK?)||#il+Wr<%!RkxNfoaysIZKNFtl9-s<jpa_cbw&j?}cBWrLmarD0*$qE`-q
z61na@R7XC(5EAaydv_v<sT%G;@!q|7dSd!7!x}#uQ&X>|Yha{r^e_5QY7q{$`z4^U
zp)Y}xZj%aA!b_YRQ|u51(dXb8us!?};=?E=vKd<(!2s@iP*;bCUjp+1BpG*&%GJ8~
zeN*ntJzDISX=a=ouXX+QvlFGvwAL>sXWlI1YwvD`qB8kcUIK12Q{*vJ-Fl6Ei#q6w
zw8LsRs3ECfQ_HI(S|}0OlzfV)^3OzZjrLM1d(LLpc>(Dc-8B`gvmaaU+O_kVsttGS
z(w(5E-bX7)f4<#t_IL-OR2`jYGAer^J6DRppcQ|lg-~+``@&gN0Jk+o7Fl5`+^k45
zCxX}7iyrNPr}|&=FrtUnW*xmw(eJIyD$SM6k4oC36+w@oVpYN_?Osjeg5@(U^+;-+
zYj!YG?BBQCz6L4$<IaS=-Lw<9ZP53+Ydnl)V0s;nhUljbp442KHAsjg;(C@JP?G*J
zI<!&6*c5{s^2RfR$OFnbAXPeBwIz^woI8=HoPUsMkRBskU)<mF!p?@m?S!6aX!Rp1
zvRZ-9boP`Vp&zYoRFKSd%|ib1o6mwF5~|?XhUnW#R0l+A2yj6c@N-!X=vQn<dEi$1
zegGMF;F;^`Y9Bj<-c~Z<;jz@|G`;sAG($uNu5MLJb*T?EC@EH`37+@XK0nf*b9-yJ
zO{%Z8$iC9qg_a^meeA=hu;<3nA0J8@a&utZ>b=~?4lqosVZguM8mg7IzK&!zHN<w>
zHdw62Au?BuM9=souuQ&O<dhETw81E^VcaJuMtwZdmk!9U{?dQ=csO#P5&`w`o|OO7
zzMRH@HAeDTjx6^ps91n`>w|`UJn`@m8aq2-TldIY674sSqL|ql#lCtDzvLz|^oXyV
z4RJiLu{D8K75VK&N+<GKN!;2+<LFC>kuEhYr!r1hT3g2jyilZC+D&<nIZrvHU#ww0
z{3XTo;8AA;=emBKlZ14Vn&Yv5#C<sG+*+hEy@<M^f(Y~7MwrS=O!X2GCKXQI`2Ed@
z48*&WI0Xr}?S=06Fj`HCrZ@6nqNkAe=}dP@cv|#$io-7B-XUVWB<P9SUHp*f7sCzi
z3BJbr{R-;u9?~gLN=NG#y8GuloCgFbOGgu{gHS*{yTj5t#Dmpt(b4WR5o{gcfyGYG
z8sb4%B4$?WzfauWw()9(EtQn%Fu6^?zL9_#_vYgWlzRwTp?t=pnq|6Z8)3dm_6i?v
z6^-P$SVQVc4btgqgHjUSg-acepqzP(h4A!{J+;`&fz`-1G2?$9=HahxhIV%g6-;f1
zw+yrdcDKCWhD)!_q3FV&GK;#&lWw=T#@Fhv2rBfq95hH|2pz%mSB!-iW_&KIJZ^}e
zUDazJFB-6hP`2}zvX2>IdrHSaKaEE<#>}i*@|<RkMKgcw{1J}F>@sd9^P=rTg}GH#
zuaz%Q$<;%4SO9u!4q2U9C32S4apqcUzY?@?Y+OGUxypx*6i~Omu@|*xL+bHXr}3M=
zwOI<!MG*o9C?t#vq-bbZb95^1nlwE`ddwtUU5D=c;07kjCHvV3WiwPC#kf1bV>1V~
zp#Wr-J@WnWY$oaGBIL*ECsEjb6b|5%4$_oTA?(ML$+R$Bt84#L6Wd&~>zrQ9+|KkG
z#(Gl**Jgz$o}ld342PSQRyV(M<G9&k<*)2%W7Gc2E3ac=Hnj3DegK|95R=Dg%*lR>
zUtab8js{T$!jYptV)7a4iCT>lZ)GBX;6&sc6YBxv$L*8GZHh)*M-B%OWJA)5il)X+
z)g^-@?b!F!CP7(jFn2KFBj<z{ZBebm<&Q^K^EtS&<4Ve_EyPCCy^v)$^|k$X&YB0s
zrJFp4=NC0?wQ=63XFAVr#%v!VSjD@`mY;2`IM+(1bzZ3{&w7lyEoqifh1^gsLjOup
zyz+HZk&!2~EE<5+(OEnR`7Oi59_DLOxD9s;<nF0t6%TR~aPH~84{e7SamAd5CQBuu
zC!RB+Mq5txrd_x~f~+D&F0XM-(c;uKvQAbV)O^1%9}NAwsHdQxk}Egz?+dmPJkN#b
z!igLdElw}!8#Rha^=+#m0H$DHz>+ZHknp5$neAw6ezXS}pP^^BJymGi9B(L!UF1O1
zBf3fJW<lJZS@|v2gy5(Svy?t#+{2HPXJKnqC6mzn%86N#L#{8sIlJ3jtRC0In=C*E
zO+l_i#~J@7kN+J(!~pr((WFaoVSQqP-(_YTVK1m~LDC)WN!I(}ekOxHS&u@^o{-@+
zf#6xcyZ5pMRl-v4ot9G0QF(;DPVn%?H0-7<u)7J^fVC+2Pj{ZybS$}PCW@cO&eT0V
z&rMCtOqj{Mp6^gkLA68Hn%yw~_Np|<V)m)UsXDLxNmQ}3oe_6XLQNh%@sGfL|EBXr
z8_F32lFa1=@wcsAl(W@ggSU`<m#v)ZBsK4n$*<{>1CR8A;M=Y{Vuc~#NTLQn1{X^2
zCsC^kw}C6z^*G8lSt%T`MKxmUdHMv|i;&MI3~33J)So*N*}>e+6DKzF!2w!N_Di?s
z3*uqfoLw}(j|ltYvSLF;iACP$r3+=v1VZZV(G+Tlcv6egy0IPe7AX=3SG~^`*^mL<
zb)Ffa<0<dk70xDX*zX6jp<epqu*rRb&Pz37>~@K%z9;CRPrB(WFx{uSY{-^*ttX;Z
zTf>nA<=Ywo4pxuX-XjtE>tYqZC`;8UQgPMpWN7x4_q+;4?Hhip{AB!jc)mUVWfsvb
zJxSVrb<6v5xbgag{e+RTZO1kX)egbt@AAYWLN<m>Orkjh?}qn;qT5eoI8W?2gHyFd
zH|XD*?pIsvr@*IL5|K0clj0!rQ!2Rc3805A`JJ;-#HkbF>r<gnF@6=>Ti=}M86AT^
zJqYV<+j70~O+O0;{tr)Q9TnC4g?mA1>5^_xVnDjPloCOj0Yq9#YDfhMK|;D41ZkvU
z=<aS97`kWZ61a!&@7}wXf8kohn)mFp_w#(7{m%VBk4u{17jH3Lb|9KQJrepyzVfas
zw)AUYhgA&c)m0I-ry=3Z+nod3-T~&jr&9fEQI2Tob-W$7>!4xniNSFg*X<g{2>P{4
z$_h(NGtP0-V5**a6B34v21yhIJ|NG$!SANTEFDPpI6N2Dp^XS<HlK=c&KKwE_W9ZD
z<)^#3q7;=LWXAoSI9y|gE2IklHpK}ST;y0~l}OX`NpIek8rvJt0;BvFFBmRRfnUIJ
zLn#~;Ay0vSPkbogxN03@U8#I7&l4+_{q+wfN-}#Zp=ZyS5+?>5ggU$aI=dHk%q79z
z5rCpvUlOixdLdl|GsxBcBnm~=>@5RLcwMmWvcu-Wn{wI*4nE#mSy^6B?_&lR6Iaiz
z<nW!v?j&Ra74So`C;-7FlM2IpaDtlv1rcPV>F1H`hQ_zVy@8|!!P8G7pTGrf`^4bJ
zDXBdvYAw6TLhDGQGlOs>a8J-+IPmb@)#n-Ko9T}`bN{^+_j0o7AsasWsvMMs3Z9Z)
z3?8rLo7V)&a@NaaeQFk>7!5lK;IO)-gq`j^o9wF-^YbLM!00%ACG(`KZM4$m`g^8N
z7=nqt@vj}-#ZJ?2(ZOm`n~1Q~6X9R2#))h)$~mSnMyeay$62Ao%xoXArs*^ugW!p8
zL=GkhQ?=O0z8<2PWb^=Ml<pP6FFlvu@Pa<+^pXo2Fg<8B`>~PDD5{;Sx#G~I&!2)Z
zC>#e-TIgX*VGo+sDVXMPAYT?+y^QqrvdF<y_?Ovz$-C#wZWmGMXFal`m;A|YTV0O}
zp%<F+qQ*Fv_9<nRa$Y%qkvOg|iUU!eN-wJ@k7f<`!gs}LstNgTt?;fIDqqhD%2Vv7
zw__g9eJ3qf4BN7(J}uJ?R@w+Q^MuZ^UHShCR=MKHiX@hlNvK3(D`^7#z;lEj9ZVvP
z@r=wiI`N41CARxlsPrLl@;-a=@vrXq+7u2VK;G}T<)lDo98Ju`##+oq@uA}y_=A4^
zdq0)j{^pEK{BCD$Hr@s&=S2?xBpA7k4mq9pO?r^NEjaX3_H_GFhX8fdUT<s0a!kG2
z_}fJ=)^tbXuDMQ=^xpnF$ZI?|10DYfTw?DHf*^U{5^~8i2O>uDLT{reVU8Jb_Z!Sr
z3x7B!wU<ld?_y{?KST%aZ4VW$oFWFrGTl@!+ekRN;JfM2S2<6nZrBXcMYVTS-`@q?
zJq)=^^)x*wL%s$c(!PR!F!1t63aVeE4gdJ3YnhkRWMre6UEGcpJz6#T3D!;twvoNH
zRxu40<ac`Z32V}|jUE9f0;7ArQG;iX38704S&KFBe__z|Id)!BuvxlJtB>q=7vH$<
z;e_><QxkkO?Vo(P@P;31o(0d(x(*O;8O)RKjGY&YXiiBiFztHIxRLH9L0RGdUif2<
z|ADaL@xAZ{E?Nf_<FCu!h?H{&xi)%kUq*iEu%GO8O=m{#s$b%tFY{T8D}wwlGcmcB
z%w5Hh%}SX~t?xc~f|%Hi5?m#?@5^&OeLhp#un9;0{pdEJqHNy0sIA<+I~aI-Dd3L3
z;O~XT&hCJ(sqUY<by8;Dm1{?11JX`l(b;e!UWQ8Qn)-$sUr9F(?&np!0~sYiB=EK3
zr_dEz{#IL5dv=uqnW<F^c6mW>=|$2rjd(yQl+rO8<2s*0J7honK~JB0A+l;5o_|Ak
zvCFUP$@Xc2rd@sQ*Yj76VsqIZQ~3(US`B5qHDLFqD+cmyHF>kFQHAvPfvC4n^Je-v
zF!l|DQ-h5g^VK-O_*MIQ*L41Nbf5o)CHj^jN+P|nn7(7NchfFckYM}bHWtK_K6L|H
z`N9e9gApzb>_k~rY1F)%waqu!uPH`|lvRClc!X&S`Z?Cj2i}i)ln?0T)|{u1VT{{3
z>pX0z>_<HzNcuckhtZ0&N7>$>7aRL$Z{GWCW(+v~;m8d1jzP9-gTnZ;i3GRkPq!_8
z8q$X;-6vi~+hfoP-EEFc3F|(lA@W(b24N%05K7(CF5P^ruOu*yKOeMT>@6r7DsJD9
zOU?15EvL2Dn4z@o&F(n>V4bZqjh#PMwE#-kX4n_-w^phIePqz@Uzdjbt^Z$n2C5nw
zTwn+ncL)!62-hR!Hlv7xN#(uYa2T{qxrI^V`CvFyE9HGo(Sbnm2ap_hh@G48!$|h5
z=yS@%$|wl)$Ep1u!BCQ2B8Os@xyv~sFbeDrJ<(DHpFeEsgH-;COr}|<b|O)%3F)sD
zG2o<IDuCnR(Yp4BIQ`iXgs{ms5VnI)FXf*SgoomOk4Qqk?IO>2PW)nC(CU!Y6|+dk
z3bkB$LHiBT@slzRd7nZxi<rsH4Ll5f2FKlyzAohj^f=(vLDS*=?QlY+ySWeeePh^7
zOc56MiUI4;Ob;9M4i)SbQgPcpCGzXh*f=LoAI0W>JFK3MHF?Q4(<5IhOGjFxZ>R#N
z57T2SW3qSNMm8&t*oh}uuSZORDxqE9H@(teLWf#6B_O{Zd+05sXmA*!)OYN9ISggS
z_H-U{0B*Pc8~5|^gP*huKc`IX*`+x@nmzIdg>J!aE)I~i-|nB?YCVb;m*n4!;k44a
zF#7`hyqjNH&Gu+@;B06#NYekV`p&(#0eVQCEZ~|dT7*G4x&H}J0?q#Df;-$4c*%SS
zZ-PbXhFnzWvQzW-{BLNrMk@+3PXypZ<P-3@1Ym&jIHWeYkNb{Nylz<W>q%Xul;F+Z
zdEMI5VllzS9;`KVpMT`$eWm;9yFEj7n$ArxlOgZAzSmWa1*3MdHtZ<2B!ztqof68x
zNgP#C1uPqzA_JwAUMF{Pp##*t&4o`%-<`}J>Y?jdGMycBCRY*f7ICj~XdV9RA-pLu
z5&K;GY~Q#)U7eJpzBd|M1UabY%1t^3d#f6gHZG)X<y?jJ!rvcTd{M$a0Z%>Tj?mqS
zuXB7k6;%P-6rbV6?;n!nH_yR6aXXDZORIq*<@{!O@G{saVQAnX94}Y{E??WnA)kI)
z>;T~N9)4^b{?p&iun=ZyN|)Y0rcX<pokpzBUfgbnr2cMlS;)8ppCN%d{XimqRmTkC
z<U7%{_e*Zk*<58cZl@s}{kw4f;>s^?nuWOHW{d@@b0|az8*y~9(P{7RuL;Zio5PrC
zRjYq9Cg(~xB^}Z+fk^BB0sX}Rh#g~d+6*GqLCQoZOi+I+3@#4HzFx9?F21sBDFA(O
zbp!n_rgp@evY0GlY1r*1;i)$kq9uB~TKwaMT8hpX4}TbFPGB1Aey9+%*`p5k;C)38
zm3cw^`1b&GBv{*D$o9AH6CJ8s-cuv@aC!aT$1ipdpHbg^Id9xqR({CTpi3VPZ~WkN
znIitjy<()U^UrDI$BYo5JoXj}^EQ3$$MCvx?`{68;C^&{4we0a9h;UHAu_neS}Rz(
zS3Yw1G7O}`AQ=BkEBSe7BR?PcR`n}b(C$&{7w16Le}xRKMt3=$d1g*zjIRE325)4`
zh*`_7g`N|MFZzqW1r)yYytS{hX?f&}^s!~%Y`sHY{~c`l9v@HdcILeQo(CsGpK@ja
zhzy?tV)g5M8=)Um;(E{CtvsoY;L;c_=@hS<4Log1^f3N}hSMfSRo_CK^0{~5?F3W%
zt^bl9x1UX2;&o11{aP>mLxPEoX%NbfNO>nouX?CO_BGmRD)2lS?_0|O<7z3``6pkw
zv^nF5Gdcw~CB|zs*7wemdqSbP&AiWj08x27KkADijxG9r&r)L$F3!!D_Z*gVQe<?<
zu`C1zjOg<8y3c2wK&o(32binJ^RKhaPrY$&PEig<%FS6-?3^bBTl<Bim78o{3)j%B
z({Q^9ysG&t6?T+ExB9_Gwx0R8NHx5&T$=<$s+5>7Q54-WrgNEmYnh<*@3<*Vx60mZ
zH~?(tFf9Hs0<DiUL9IFdnR6G2>=?wlc2p(=^NI~WI)9Ia*n0pIQG!xs+#blcaZPCz
z0)9a?L4{q`M?9(`-%2j=Sc20yMn1nPp|NATA4=omOAbDqooi1^o)Kb3qGup!^)btf
zh9@whn*c2V5Y*yc4hkRG9X-WG%!i9v@iB5Mcf<e6mm1SN>9~Cgco?uTntQx-WKQMK
z5fxjZ$3SC1Z%r!@34KZUkisF#9SU?@Ovg>Jh02r&cw{Jsl42EpmGR_&FvH0DKr-#w
zcUebt`>%r<X&26N4B_!f7s1araP>$KmBG+#vhG`&j2A#NPB+)RX4FoaMRO|7!O201
zn`pa+-LcH>W4k%WhQ-~;vXiEHmqz0W5@R)@^pJ}d-<UZjmQmg937fXz-do#YV{H;7
z;Arm>NMBMsckjJUNCmlrpmlf+xHV648%h;&{*v@vp}Ts=5-d{v%2e5^d^ML}NIrd-
z<GqXPIsG((GS$}0Cg~ZWDD1G29`A*He@PA1i?FfW7?LiG^{b9}E;eq9wS$*`TKNG%
zB+~6TMvk1ou(9YFSpvZ~G>N3?y6v=;>hK}Tz3_7d<4wSdBIM<qLY?(s&k29mr4(O~
zKQqXVvEQUd!$eENYC#QM?~XyG0YP9B>Y?b-a+%*n=_X{NV=uF|E06n2OCo)<zm82y
zfC|9$N!{ysH?m%r`!)FDdEd$18{0VNt}PcWPa`Ql`|fbC+jFUx^|2n28OcCUN_-hj
zg)*+he*&uF?%!uGq#enZhCjd4Cf2p;9eBo4J7_4_=n#8aGv}U@PUk5=*YXoG=E=bX
zm0^bJ84s>6=Z~%~ce>g1<SgGs4i|na?67k_bmK59Cu2vT*>h9Ak`8OC2zIWpw=h6V
z>FjU-QyLaGZ<)$^*+5rf-ti7wXaoyOj>?ykQ(tW+?p@z`-f>akVhmJZ93!URhqdi3
z2f3XRnYEnmCq3l26#BaqZayC76f8v4s<9#@iV2R}c5vp*0DXG;Y<C3z!W$jeMec4X
z`Odn)k2V)vW2{wHu2vR(e<HjUCjLqsFs8%BTDMm|xVBoSAI!`-la$Z=nQV+`vkhvb
znpOh+G|_;x4tahJM1His<qFijo`%$Y*L%$os&G1AqI@PZ9bWsY!3R8&f32#x@n~xg
zM|4tx?M6eHpdk)Z|8|e@XhanQh0Ykbts(X>=Y4j|dP_th?2l9?m5U6KH-m0?t!NXa
z9mFi}H1d8DNY}m4gqpuN0Y&BXs2C4>Vktpli(Q=lfjq<Jg=m);P5=y2E(CafGkE%_
zOmi(6kZ4=p`UwOH6z8@TXqb+4{!kMqo2|rzXe8#^o{_-Rg_h1nLrI}i!_IF`lnxHx
zG)&MHu{9uMV1I1)snJ+{5*m%|sD_2D&m)<BYf76jt&PV&u#nM{ARhLvD;E?*WN0fB
zYL#t~w#a<ZKG;jx_~Q1hLgnV4hEg;DzlhfF?C|E3$3PX{5<UU>ziL{_;}5Oss^2&S
ziT2|D=w-uH3@rE-hh^EYtL;7}r3cjUJLv`pF~k9X=km1!Q)t~7LlQU&XgzGvizcZ~
z?%AOj14g!JUzzZ^c^i!5(loibbz7}z>?kjGwgiWE{_gB9S%mI_u8u&HBl5ot2hMqz
z5vezuvYJZPX0{EEt+PNM0zR`tidb2;Jh@%F(>4cH_aU*L$KJh~SUh@N*J4*xrD_-r
zEBx`RJKI0rrMWE|{kRKPE_{LhHmF?4r;}li-2Q>n>z5`s*JR5<hRz5luDQZBnU8-%
zJo;1)MRWhAy|SM0KaJgLQed8EhGup)DZwWWRz_R-70VEzF&>@O)ixO`X~~N`ns_+B
z$e*s@9<+tyWm9QRNn3%4PzUY&xXfLGFUEgcNo?ZV<$onvZf1<Y#W?t><%@FLBUz-?
zCzd&dH%;|<FX&P*XFI)pZ`qA_K~~dh3+?@5*`_+PIqW1r`h_sDJl1ja6r`V7u)dTX
zzf-jbL9vI#Rd$9d&3YEhQ`H+c!!KXq!_wuR&i!{lNe1gKHUHwcXOZCjWAMJ@&%xg!
znd#!qee<td1i($wtgC3a+zY??$sbI5(gB(K-2%VtzNPD#sv<KxzZYPWb8-;-1DCt+
zZ?zG?n0_7mMIvc=HvmNtjDc%wZS9?1-b}xl<LJ1_GN&xbt=QJ`Cs+T<)#+2${g9;k
z=xrW?)QioO;;!Q4b(%&TG&kuKgkk^VAEZQF8Y1`Xgcd*#mHVhT0bS_V<%@oZOdH44
zX#karp5;`-K~h*dYg-Nd`dv!E?K4*#2F-+YU+PoC@lL0Pmko?mqZbDaKO{#6eAEB~
zdUHLUO(yY~doJXm%zG~1j>`U(PQtQpJPiXeF(D|~DZxB_oC__(sb?Tp9GSLJ2qGNr
zUisC<qO(cHp<>W$peTV3whGMV8Yx*qMN9KtIk>Dnm%eA6E5p9qXn?dEw|<OdkJ%yd
z8k5p^Jj}`{O2nW!>Ba8LEwiW=i|U4~V&-f{oazYXHvZQ}>|3jes;=eiN)zw37fpnO
z7ZGQXat_=qwP_((f`+x<`}y|HAcn?NoYvXF=#qa2(9$w}ZxbV*Z2IH8H{))&k|7w{
z`xIxwrLIU_PEStj+H%GZPmHi``%@bDQ!5wIh=o==fe_(Y*)$GuvoNyT|HC_@Z1~e$
z<$b8J3vY$-3(s-g^wHBzD6dnGzc@vY$yqLN?DK`#!PXp2s>{C>m^R1n9TBvHk1e1c
z5iDPgZxgEB^OF|jFr1ab*59C=kK^hVYVAgT=g_|jAF?`+kyFuzHNAeyI;0nI3kz=G
zYKfZ$Hm!+G-o4j7EmWk`PoM-vG_f*Sj_`gy2sig(sXQ*{1)A+WbSeQsTqApbqpum5
z5UbEtp)O2>=K8Xnw&3gku}Hu~I3a&_KmhX!f8u`IpL|!PnAQB<MQ;(Ou<q*&4^M$o
zMDTHBZ)ta7G5%oqzvdly!}9}Jnocf6U~cLuVRNR&nAmY(9r5;IQCWX1V0>8CNZAQp
zIxm3vU^9^(S$9@^xnn;<CEKLo%LuA<*{;HCoIs%sekckp3Vtl|rsp%qqz;{5rnQmW
zqEf^OPQ%(yqGLeq2ygUp4VVw<6%(5ojr1jk-{JM)Oe|9%URGC8o_OMxU;Wub6Xw&%
z)@7gshQg?HO&3gHiN9-)a3n7bK@VNQ@C;HM9+O^l(I4ObYYxWazi1d2QKX0Nps${O
zt}`)b3ucfGOuy6Qt{6Q%w0bprN`%w&7IsvBTuqdb`jJ-%@B)3|Ki-UWiL87UQ7u=B
zn>^&ME??uIU7t5c!@_vxfOGu~n=&I+I`E73>yY8(SdPD^@%g3ZTyhTS__u60xC|oa
z1h6#<OUZU8{K0h7w`nm(BNXRa?EyRu*xNYxnr7NasrQdZSueWFu*uv))^5M_^^D3w
znEBgD<tUP`xQnf90p4x6$vfq1O;MDj0^f0$CkOuI%e*az%<at@pODwdlnMEA;hmp!
zk%=-==40z3581pV{k@+w|9E)M8F866#rE*(Rdar4gf78%j;oBZ3QJJiB^P<H-S@%w
zx<JbJom?S`$x?MB#FeX4O<_6zlD%qobr849bB>Y8C}9Ubeq^0GLqrM}?LHz;U@P7h
ze4f<!+XR2SWKZrsD`41AE)z*B0Fz(|yga}4jR6<!ZGKJ`;^e=(koNyZ?s!cs%(s0R
zxZU9*Bm*BLH2X2xJ*NvvcPn=3&a1IAu_>k%B2|)5X<+}^#2NK{*Dl<5^B6uMJU+;&
zU}dvz`V&@^Vk~6729+GfMD#O3QFM47k1Rrnv>BBN+QIwo93<0RXhyFIed50RuPQ^G
zmHT<l<XC6ocU+I+{B2sL%)}m(5e?Bq!s}GVHxrr*{PX#YtYNEg>VQC9n|rogOFYB{
z3Lu_cWDYJEzMgYsy+iO(M2}*m?vCK$G)CSex3F^Z?LF`w1*!l}2O$$wN)=KdYqlze
z0$gt<>fhbKA?!aJVD8T5xEad5X{!54`&_ORkS{L47ZHoFa2abv!Jv@4USQ&wVdN>S
zJT5J<iwL*8UjB{<B&-0&jL_PN2*Lw&@Z2q8MTpr$HZiPS1Q5qRO+7ay*9j1asLkw;
zluRUD{)y)qPI)O!cWgT&(wen#h=FhAdOEhxYfW>PxcL$4$}R+GX>$^jHI0XBTZtDh
zu+6&n^vE2m{dh2bk&u;?5{3D{>IXg1A?GnF30V%BreQWsWY+x{%&V99p8K{62_o$3
zR_cp=)kcb3l4oS?i0#oOIi4k1qxw6y5mwSs7Lzc(<y;pmM|&%R`Pe>tV|7^VhT)Ls
zCl89vJty<K+IhzLjU}?i=i?ujhdmrB+$(fU9C=bVwZX-a-F&kMwGZYcU#AM|jpK&e
zjr88gera|b=nf?n0s4BNyMIbcgU7I3TTUxe_L4(~K_7Iw4|mW~`m^;xQ46N_2UGDA
z<(4<S5DINTCLiTe<$^9*h@a7@0I9@pP?IC-`#d-p^<co}L?AvVmI__+%5Sj6ar5cx
z-xqSDG(!^E$CitVm$%A_Jk+8T-N>?5NbN0<7SXgk$|iR+#goPo=DaX-FHxoZyoYUU
z?`|%mZNsj4-V->e@Tgtrcd#(lebwW71vJBwF!8<DoS*d=@;%HVlqO6Mp3fSkwljX@
z9Tjhqlu(KBv6>xT6%iT4xXlT+Ti$?u^ZXq93p1AOi@hsr8nqMDd&*@w`=gHM4f2RV
z9@md$(E=hw^82?^Bpd9mJ#@!6w*Sa4NhA0Uz~tiPZe@*+FRRYJTFDy^w|c)xK_bF;
zS~K&>?AXOhZ3Qy&y7QgkScVJ}({pb+%ho+?y^Rc{U@W)eWDtiw8;CvRYXJq5>Cjhu
z+aL2EM$RnU#UDuvt%PUE(6?2Tlsl6zCui<B_)b21xz_XJMTDa0L0y#tJ@)Jr8}&hm
zRVQ73U#t__wKfmEw97e40S&@FF*E&k$)WV$N2f&N`9K_*Wz8(HJ?v8BNn4Hg!+ha2
z2H+QYeqO*RBzJ*HW&D=K<SyE(6r3DjZf3Pr^)8SNL!z5@i5~@C?lU0B`Jrq*h1X{U
z;MLjywvRLp)21$ZI%f?fFQ<Aw1ONG8Iu#zdrwvM<@gFUrd8$aQV5t;akQjU{&%prI
zX6yy5k6&CoglKqci*Rar&F1BHvl?wX#p&`vZ$Vqk(9GNDXIL~eF8hW`2Kl8LIV$hX
z*k7D*hzwfr(kZZo9amR`s}d5Aj~NHJ8Y-nIEqOg`An#pekJ9->xBx{33P@}8o!bYK
zXvwn(_sgJ-j*(58{Q(fYE){F5xAq*czkeM(|0U*$5%~gs9i3Kr2%vZY6jQYq+Ep74
zSuAt51ID4M{jbD*_S9gi5Q#g-TKhD;n54SN5w;y50;7ZSvhR1u#Yuv>=d3^je_qw)
z2Yi0ZnOFB9)s|Pi>{v1IRLmaA`cI}c(Gax^lE|+{p}MC?y(sj{MTN@=suOnfz3N&p
z6dW*$w-w@ucW_d!GGmE6+H|~*r!qQ1*3vxG1=Q=Uo7zo0Y1tKXW;A&e&hp<H@_a%U
z+G-GZ?&BtSsG{bk?lPWk6-D26`Paxtf$-~xlqc9LAvF_;jYVLs*{L-GBa9^OSM>*H
zOTnS<jN57^3%7)>8}>b3?0N|f^VEfd$wzq{shOcpafGnk)HTU?)c=H83FE-T*gLNq
zc=pI7es;5U!I$3%XS?IloQ=#XCPy-f`YSzG5YwJ!dXB0I&df06Z34Udp>QGjp{|J2
zxiGG;yF}R?CD^n{f-cnayE;T9qv?Tx-_QF3Sx{1l5fLQYfg`(G(6|6pX~1x^rVeLU
zlaLG)`jJ6uLV5cFxGk$gB|L>K^qU7%UdvO49UXc*8>>XdUF+~WaJJEB12oL%sHn!V
zF5fQ}O4}jkPYq6Ms1nDUWmaNS<;c#5<H~e+`{Y7^ml|M|NZ1FGzvPNO-Wwa)%dV{`
z*~#R~T@5S;t}J-?c|^zW?n8d8ZR~mBykrsX*j4wF7CP_Tvg~~FS2EaCuToTyMKvkk
zCMvM9F;MDLWP>SJshh>(TOC*7wBmJx)V+q^j5RWZ*-wH~pQ%UjT;k{qP2CboKwqge
zGN^_B3I(L)|CFpECChUcs^8Q0c>8VtxaMQXNeev^>pp)z2g)#8wlcdA56zWkXADuy
zxoLg}c!9k1Xr%0OwE7cbGpfA+(_<{#+yYL7sAWR1ms<L$z=v1oo_dxqiH&<z+3y<}
zDcmFrJsORZ;${k8>bCB@<^UeC{u?rXIo`yU!zXEh5^t1UAxNp0Iwh!@w~QIPQK;gc
zV~*{+onJZtz{x9j&E1(Od<)Kdu;GIn!pV%|n-MBXn>JdxN<M88bjfVr?bc(!zclJN
zGFC(E*kIC}ewnzX=t<uixV`X-2JDG|RN3dYP7><_;t?@i!WP;j4;DoRlDC1XLmOuT
z{RCY0Cx04kal;Tu^{mVd4&U=!gMPXoeD3X!3pjowx)#p5ES2Lde?*2AxCN$n_&E<Y
z%Pif?UD7VieUCas+13HnNardh9fS7&GWQGuCO{tn$P;m=*xL!mv{CIm_z~^wa-F%q
zb4>o`a4WBO;vC(lxv?=yy>9+fF+VkFHyKdH_+$yxM3%&DS?}(f*-3w9rPJ`7A+?j^
z%>HO&beI2fI=m*cA9|{Flg?;gLx54If3v_P0kHP2`UwzyqRT=>JadaI%<|Ajkhqnf
zq)c_rw|;DTZGaDuE1Ke%WETUDwwEB=o#h|zv7xuk*J$?)69-fnz(B~?DEtkEwYrQG
zqc?^BbS}U1Bf+eU@9+=Ly#HazQG{?b4tyRfR`77rG?`ngXd(^qIWI=8VFvP~xI@x#
zr`Ep~fTTt~_1<sqb^<<#rEf+ev(M|Rj<D&<KN7e8@h^A=-?AA5MGnWIdV3f#Irt7*
zS5=?CIjA}_{QJp4QMdh%YiIsPNlo47ymXlL%qlWR`2u89RK+#5;L+a{OFDlPUx2;P
ztPVt-4@Fl#FFrw_KU94LT#szBcU0x{1|$LU{{K2eex*drPnM--sOn~`a^bn9iVjqh
z?nXd7`#&Tn6=KF#O6o>7(NDoYO}(-WKldsgsN{uzCx97au-z>N6*_Rx1^?V^s~C}g
z5kClMg@twhJTioo>%6a*z=->Q*3xC_D}f_0T|T|U8TyCfq&%LNG391%J`(~I`ZMtu
z>ym-I%*VDX5Z6p6CJhp;i$dw^5{r79xzcm&RbDUSzSAJ*hhYrpT<2wbaPv%^^v3?$
z5kc*N6Xm<{tXO@3T409bGQ;ke;hP>gxidimjNQxCBaQ}^vjyaWR!$k*qE^Gab!Hh}
z5=;M0V&{cAM8Fuvx&4is{a<WcSD1<A28W8FQbp$J5~bD10W3+zV_m!LCvD>lR-5s<
zU8gEdYS8CI$xr_u?~w?+B-qXjLIopjgNe_ozTX|8^lhWPam+N<Eh+<U+qy#xi6vTK
zC6a~$%==eKU+u!81K#2fcq94xn-k}v{I&&Uqkj<Y&Y#KYxkabUXLI(y>AENr!lG=-
zW8$i-4gjsJyVsdU5O-l-aB|UR->&YW*6>5&aXk%{@PkeuTMnI$3hEok(^u=bKtWxq
zM7+a9kOy}#u|TCHSq*f4^T3U1GmU5);;3%z9F{hXj?w<qyH$5K@;W^2XcAY9b&s<2
z5f_#>&|z&<eLIHym}~il(~GLBGnp8fqv$jYk`%H2`x4eB4eMlqe#hyZF1+r=as-^{
zdj3<5F3@n;$O%wtleYEsrU!|^5xrMYyx<BH8QrU5=JU^%Q>6h-x~D|87?iL>e}_cX
zse{)egJB;EXZP+Yj2pGA!=L~0tU_=Z7-~HF1u}keWZn|o(ZR?5^5hFXpEFm|DC~hL
zZLnq<po$6{QJ>&ublhd)kht(f47IX2#E{XV4jf}oHJznb#WMrGNBG)Igp=a2Lz__j
z>2;>BC;n5Du@gCrO{4UK4BM~SrGRVpZAHxL1xKgRE7^>Hz+I<P=$_}&Tmr!?<pJ^E
z=F9_mjK0Y;OH;R!k+1)BH26%w<hR-k_>h!goNn~5Ihv*({;e*sOTs9t57UbIFb`=s
zVt15utxD7%QRX;R9d{O@il1MT3Y`@Q@jdW_@{alY6Z^d1Jae~jZz%igZP5Sl*}mcv
zi35?f8499S3$iGUpa@X6{Lfh8!Qx&)A9{NU5#)4{?`c|1yi6IVRrQ|zeJyd7Hs0VL
zd0Yz}iRnsAo^2o1PjFJmz-+se3hM6~ZBVq*UGybJ%1iCBB%V7tH%|tP!F&~mL--NH
zn2yMT8o-akhU2bLyS*Gz$&~H5JytzIX|kL%cfvm##oud~e7=N5>*H6@ps}ETVF+&q
z^sj$9XUN&!N?@TI?bP7Fc}-W2{;wV&s`7fGJ5aayi}mdRWw?j^!q-ntD6G(dyFl_!
zP-`l!jO+5Dz6}F~Ue)p#X_z}lF!ajD&QYC;6<UW)XA~XwelHL3hhpufs9$tYeW8Sz
zv#-~bel!h37jSi%7M%72Gd9w9%b&k@IM|r@F)wDzLQhIlLv*_FjSyVr2=y#Elm*pV
zE1qvpVgPM{Ke8j~hbH3782Vda1e1n5<;lCx3K!Z5ynIJrKEg-vf`a=Mle0|^c=$hd
zxO&Hv)$1wHs5TsuV{scjJE9ORO#wQD5etP7m1EBR3Z>S+_AKH*^eB1fX@IUWoBloq
z)ZaFgSf^CW2`3qZmQCzz{{f_Kc!PZWQ@`*RTd-d}a*Zqt#D*E{j=mG(6TAoGT!=Lm
zx-lwKD}}GFtjR+prWVS_J=jh5#owyx3*DIWxm-nsb~0&!k*uZZhrvwu`BQ?9!Mj2m
zP(f!6@1MF09g2P4z5jGh8J|^0Wn#_cAr;x>5#a4SK?S6IrbWFoJH<ezf3MbzFk~Br
z-yP&|F<;AaKchvJXC1PL#K~{s3`v~c{bLci*zp&G{CorDPf1iBoAftS&g3i&`E>zy
z>f(s6CZAreIID5vdZ@W26m#%Vo;vo)>yj|~#L`D#7~;E<`zr*=FRHju7b1EygFGfF
zarVM%09>vkn3SaH41@~nNwvqhuvDtCU_gvre>W0v4I_m8Vubp4HOY2}HA(WdhF)?y
zn0i<Yxd^Gg1Db-R>u<j8Z4?qlRYR?vdkYOU6lW#Z0(kc$Ep_!mmd|Tj-r7&E_XIqU
zEHyD}bg7ScV$q*8vxcg9MeEOLPVg>>Ht_%W&}{ensn%wNma?0aP~yn{Gv)wsL3c!4
zt3qXz;n%DwatH3yx%6#ha&#PAmy!C_ox%=1g-&qGBqkKJ`NLsjSt8Y$EeGjftK~eY
zT^@GDS4?eS+S2tsnhDyBH#}SD(Mp7%%?YlXEF$v~s5AT!p*2u(CiXA@)sp5+S>*I3
zLE$*=%vidJ$(%s^1G`EYrTkisi&9jjG^6{)OJ@im!<{S6Ay8}Ks#4Wljx0q#k9kil
zcZC)Jz>K$=>oe`m6vV<CG7*wjzt7U-W1l?ft7_3DXE~nB5z%$6V<o?py8SmYR2Tt%
zIrRyOfyw<H5Upti;J698r*)gi6DOU+E@oYXtcDP)?wb*dUgbCz{$k+C^UY*~&OHq@
zQrqN>quT5Eo1?k?Z9GbQV;Nqe)9iOgqf&0(&7Sv@;Dao`q_EDVxTCv~oJ;V{y@CE<
z)dSg5b12J~k0~V{65Ow4GkkDUvsj6QERWsP^J2e^s5<r)zn-DuY%Ys`L-%3B{`xR+
z+}$l|jJiUPL|E#UEh01zFXM}}D%*};8U`g`m563o<hD8wd>H5UwI2B)N^E22tg4Uw
zY!}w2kyHERE7^*Qqqa8w)IO(#`pUCC4B^yE2~dBc{LW3eVk2IOsJt;Xw^ZO67$ctJ
z#&o{FY^CK1jCMr;?e04O-uL17p?2h<Q-=)WEMoPXb7y9;Q2+2eE>CSjSw(lIPPNmg
zJQ8#xagS%#{S-_0g=k5|C^mG}BZA2nYp*#uv6_2GmoQN;IVfXJV%ougIxv%`<kkSV
zly2bt3Kr3SK~F@1-DH?PmrSD*rP?~0Ct@ks=D69@Y*}8t=lyTAZ_xe8x&CAgM7nPX
zA=k~TnsC9yvldmaXisBC0K|cEZcln!tUYY33_EZZj!oOzv$K(1q=?&T9Ys*Q^^<}9
z7bN{3*Mq<ZPVI7;RG^20H2&{lTBagDA&0CxQBIsaCH!-Tbcd0wOunqzfg-LCx;^5f
zHv)V&Mf~s>asPTDsh96s-;WeF8V7@QrC1wuNPC(D-J*<X0s_fho1`J|H1}fm^6l&S
zp`?oN2SHUgc&<+N6uHE~Fe7OA;Z?ndTE^LXT>&=bGJLZ~&XO$?IWa!gD0;nOg^yB@
zF&gUqyR3o`sv^y9`RA${!E1Z}TQjC&S#v7sB$C86K68|?-EhDL#CzML%CR1Jh&o5Z
zcNnz>h~o7GFk<tmf9rul@}HpouWeaJDc?0!npZ8%(_J$1adH@p>tie3rWxRh+yKj=
zP%5=B(uC@8QpFz%uG-y1+|4$(eM~`9Tlwz8kB-~4!Loanm>IyL+ZHmAE^^2AiF*>U
zGxlv#zYC3G96x05GA)B>fg)e2L|2p6g$rtM<94Q1XsqsE5&G3=Vpx_Wt*g<?P|LeO
zuD@XAH__3!LFx{lBLD_&$<DJktaPC+{r4<WDO2h7z(m);=ZeoPAe7Kq(th~gE=+|-
z04b<32Sco0eIf$|$)U4_-H5Z&GGaxSlV2=vJ#u9zoAq+~P8gDS&R3$YLGvSXtM89=
zC*ITM6;<=Z$gBH&%1_YR>w2?=;rVPt!;aRN#{F=u{eN&>LM>TuLP5Yc@}t+nQUo^Q
z=g+gz?8NUmp_v~z%BN<Zk6h$7k^f^i)L!(K4f}5fG2+i5H|2=jG4AvNi?=rS+jygG
zyD0hp1Lpc8T>pJulom?6Q4U`>FD*D-&?Q6Nqd=fZ=>h~rfg1X!`##fG>u@IC`Rr^o
znGZ-;KsvmCoG$+F7&?B#Do4U)`u68Bd>Z5&I1y-9c1{#K{9jtB?EDPXBqm1w8lqi}
zS||W8?-jyme7>X)pgGCq)RsZM<#Ll&vxSu^Rf<WSRKVGiZL(~ux7Tr-C@#sIFkdVF
z5=TAJ9kMVyrc-C=l`}XoVkv*Gf3{l0pZ(rYK}mw2B$x+&N89IZoeMKOt$cA0#EEE-
zI{<G39tv#;%r2^*oWf;Fx3K6qph07^O1%`rLg?bh8KH77sNX8m>1?DW{&)?K?~>Hg
z9f2qn_?qv$w@w2{N#gIU|6?|&{sxj0l=hfUiBuX_?EnitbX?64E;UV=^2dAApxgnA
zE2WN~r0wp$OM|^q77BM@*9U;sk=Iq&(leSeBK#}%UD6B~jj*^r`VRSHwRSykit+nq
zl8K9YK9=lQXEeB|&ON^HMBS}S-S(h)RDgTj{#30YX?D<wc2HZA7(|MQo#-RxrTVnF
zr%RcNy<F>AmySXGXuG*}3_Lt#`!m0kA%PUy`W)dqb+G&(|G<c=s(vXh{d3i4ihN#&
z?Q90Nci$N9b?qiXMqte3nf~I~)au(+*T8{~h0VTl@$Nb1UQ1uG;rDx+$57Ik9lZI2
z)$SjPLN&Wz4<CHUPiiW^WG+FTT%hS%HSUEQLRceO4U-KEIro!wQpiGl{8-B4xlvVZ
zzHzU7Z&#Pn-n@eYLdC`}QYni;*1WQv-2!3+I@&>wM(WzK5Z!@w6A3ev%CzHF0CK6c
zXZO1Vh)Dw?GxWj=aIFB82Z#d$L_#5GdyO<BCs99aWMZbW_D?s%Y-4|w%@@a^p%y+F
zJ)V{hF{2CtD6ze<-B?d>!kFS{&h}WY^}b(7HlOI8QEHFw7ESh3Abs@l%WWJEq}5^V
zhHm~S5!0~(>F{K$FbW5DH?X@C8|H!U(V>qJ96M+&f+xiF1eoyNOL7wi5npbtoW!_@
zzD;3mni8bhp8h;*?g_;1jKzl(@SCV@r*szhr6KW2@FHcJ*NZiOfEL{FL%NPyDy|S{
zBg}6gY-ryTi+1EKUodc)CJfKcv8e&SW_^GzQ!VPQ_==&?+$X<OcD>tq42cf-@28l;
zZa;oqzI%tLWP&EdV`2E+Xdk{iy<U2us?AbaNAgCBSN^_Dv=FPqY25mU1@!eOorzC4
zSMGR|?TeC30|wfW!TZYhb9jUuR2Ac=sh9}==(AponQw$JX-Wb75gOgxt#w(5n|f{q
zO#-Pet5~gVMY6cO*g1O?;kxllHu5E>vBG(aF;O>P^*dl=Kt+k(nMv#Z$+KzgCXZ3I
zDgj^BYd|>AB+IUQaqy+<6IB4G$fWrfyw;Y0JdK>mwBlGGrJR$ot;vG_#?patv%!a&
zwmkQkZ{=#S`_05fj;Q%zg-S?Ss3wlJqlbu!J2y_JMfYAH8Da{1u+9iPQA|MfX@r#G
z2Uh0z?lUzy?(iBcDA@VQC6K=morzgAATdt(qQ)w_jAJZ{n(^f1qQI@^21tz_et3qX
z{CS8gnY5T#Uz;5Ici*pSGYJ^SE#6D+va1yig|;;;ew2CZh`Lm_n)U-K|D@fOZ~?%E
z0Bo=3&TYpX?MYdb^kO`|;8(huL!Z-jyz#|BF#?Y8(PKi=im29N2JZ@*vy+7HolQ+B
zyaAShm$8pZCy-%yU1^*t<7j!Y96l{HZNBF@VVGgS)Q&zvL|DY}ew-!wr4c3h-I;&R
zy8fW`=~$Y7l1M5_A8O?}v??pbxT<l6vv4U8)x4hvX(ZWBaOhl`O1&R@mA|6)bUHt|
zwVePN+?6KyztZz)d8rCFVN}E<k|gU1x{A57q!fvbzVG~-3+g8ZaS)AK-qC1ffR`?d
z2LJ54uStVDoNAf{(-(g4GybX@E$bDdd2xHOP%WXOMu$>^@($sC!uF(@>%A^Ori-UK
z7uZ6ZI~Q<9hV02cZ<PSc-??m+;w{qO{JdH3?=0qZ4*GqPswn!XB1=p}6B_d0{+`$)
z4a{GwI5-Q2ni7Kj_`3oxzu@`t0T|?1(_YG6+64_WlrAb2KqM4<{_9d!WFY5dD3pD`
z)}&48*i2;Ob6X*@>!McXb%8>o#>R2?vopY@<=I@*OC}I)xK4^-=g?6yl%0bcET4Xp
zB)7!e)o`@5srNR}pE9P@N^zHCZTwAOGTa%PpN7pEHQDh_On%7d6Qk>c$<%dT?~=s1
z7sPWBz{rM&BacL%9R$;FNnB7_b?<GE^-p#wCt|MYxF2>LEKJ*z3*xTE+Gi&s+jpXx
zQJ3%#^{@rQY|ryTO=p$JbX`yB*k_H<IP`uTdlu2&-Bfy%ES<kjK~)emW1erM_cZ}`
z{*TqN0*9=q^k|O$G|^-gj#_!hb3+$WsWYMTPxsij>}h}JoRDk=L@QW~I1R?}UBM3P
zQ@1h^C*_;6K9E-P)cmyjig5Yda=~HuuSDX*0QuQ|wtpWzE`{hyc3ujTN~b+zf)<SB
zT$2!i4a&}6jj|Txq?^=bmBNaO#y(gHlKx9b^id%Cs-N(!7CsR;7*oH36Ek+-*xtiX
z*WT>l-on>VkvDtbX%`UE=Ci!7Q#~0$+afSrYSy=J#H39gYXaB4;QxQ;%<;((vj#eR
z+7rFn;X7X4dEt!}ZsD0jy1RQ;_eARS%|=~^Hy}F+h0&!AhKX_$N|eOwMpYM4-#Bot
zf4I~WC>*z&^_X{SPP&fyvLjl$N1Ix<cw^JF1!z68BgNH)N3$IF+)R5?-T0!PQ`8OV
zGMfiQMC2S0>D%*Gyg7~=>$lQ1#&W%5K+&T629;rh`oDOl!3XcI5%uNc#?sr%r`8P0
zW~~pLtrizOOs!AjXu$*xH!$Y*($hmB_58Q2YIK{(U`&9Gxg=n4Yy%RY&;J7Qa&d5?
zWbtAS)?nEED~=+Y65@KUIbl2To^pC9y22$+xChRWNo;p-T*3RXr^LLHGONJEUV_)G
zg9XWNt%>InW7}GGQ*EWSrLl{yC410MdM3M^`uEe@FHFjPG|8AOwS`1UB%~}lmQu6Y
zFF2dk5yIoc*MD&Pb|k?SGMyawB}b;fo4>y>-hQ7w6I#(2B8CFIxR9|JvF-sM8|oM1
zjq7Zp&!i4Dat7Z+*giC7$cMWVAvU*?^UZe5l-U$3M#>I{YlEPm-#yIjlkJ=`z+A)<
z<V}QhQ>x?7+s<|$m^1aH!f-d#?P)4lc&kn7VPc`w*CnhHFp2Cj(Yn$tH!~!f8qo+?
zq;(BpVprkPNpRC}SL4EKo<|iZi$}jg-9`(>!T0^gNSsZUL<svvDex5&tE1@(<|B$#
zZe?%j@D#@pYfm702h3T@vS$$Ppkx^V@V-&0IDQ<eE$oCrD#T@P*UFXGxZke(4QdPl
z<m&4g{03a80-sPRZVdRck(5-!-)afLYP_%Y#M8`+qT+;21o1j$$@2f{p18k)6PYje
zmeKD@G<#D8sU*ImCzh?0DuqlP-ETMEV7Ohkep1Lx{88SINbiRdM`v;(*a64{OUt9Z
zu3@mO^Rp0eQES@UL}sLcR~*^&^-|JTi|!5gc=Mz|Vi;a3rG)m0RmPi#+k&$~oQZml
z_t7(D!H^rzn0H@KFda=TfXVoNtPgW^T7>@*sT~QGTT~HYY?dSC?63pV@|A|C`mQfe
zzCE+_8)k8QB?LsJ6$>@tPM$`Xjz9jBGX3L@(K*9}^a6!Q=(#C>JbmKnrp`2t)WH=D
zu~5i;FLDbP)ob4Gz<qb(M|5I);N>ctsr9wafHr~V-1|6}Dy-{ZMwXkdQb~ezK8_P8
zetL7iC<4EzuatRzu_?5v{s3&%0OUnX1#!m?Rb$-lS&{Y4y#25ZJ3TmKBmfrizXB*e
z4DrTpwf#jJp@x#!-WqB%e<IE~C;y~KlCN=(n;O(D36YiitSBoGd_sgFW-?lyU8Zs7
z%=~Q;#@;05hS26(D(}c^(mtHMNLqo7Tt7woUGQ85QV2_M>N^)=Uij4N{vO4I?r`4i
z^euQu{~N0LNXHGu<M*A<D)tXyM(<Gf!U7?vx@uQ*!r$zJU@h}so;SHp-?@n#b_2<V
z>_ytLQ%&Y4duSMtsbD{><p-l!_-)Pu*-Csh34gdCZUg_IUY$x8)CXVgA9mV1)A0iw
zdKmC1#|C<Y62hJk!5TcY2#Un&%z_zj3zqjSd7Ls9d9p(~3bG!)SBKXPE@UphQfmP6
zVhKOXH+q6px`AYg5Drn50ruYQz7n+;=Av7f+9*I^q+)t+W6lMw8vAuDNo7k=A*o?<
z{DtDc`pF99(c@MlUL`>3e7O@Ii37juP5zYCX#G>8=lAea^u*{sZ|7|HR;zdWf){hH
zXujMJ>~HQ^IBtp<uM^YitMsFf<72E+Qov0uv)P?C&?laywgJ9RqdONJcKu(1mufF`
zo(lp8*oBp;(XzyNce|B2WOk{5-^D7UA9xp2oZ2}IeMo+Br|Sy$#^nG6c-!19I%a4u
z-U-pqtx&5Xa`G?EONaT?<3J`rU&oIG5tH(dw(r(5&f1MlRBd^iB?sqy3A{Nz(e%Qs
z1IJMGqxx-tl(pZNv**mfvJYMuosg}hYabA5jEY1SE#FgvYbM_bECpaWS~55O80ptE
zria?fkRaHeLGdJtfLRS_F&ti22v%5B&$CH4LfP4Nv=jkhe9iz?sR0y33i}~@t}Dl5
zV+UTX=;xEE@RKX2h95#^>awkqz?u*MA(8rt0H`-$sS-f<xkgXZP@#AEAeZ)Nqel-!
zq2B6ian__Qj0Ll|an`!O;`;$-KUPcLa-a3rES90(vw-`-Nr7eXoN>y#Xo~Dr*=9h)
z?B9zHO!^y_b2KqC-UI9^XlZitzxU`~DXxE(0W1~d-3xd^Jvsf+2zCil^80@O-~0Io
zw(0^ytGDN1ux`3<1<GiUL>?!^tUn>0GRaBVwHFX?4l?#Q_k0qJqG=d3n0bT%%bOF?
z3?fIET=Z0$PC>NUijN#$xKWb9QlP?LW>IJJxZ9i0@PHR{B=RG)NyKFjlUu`W8NsUA
zSrvR3w>`^sgzIBXo5WeZtq^gIOKjG{cZwJ~MU-g$Wa7##4U4pjW_bl~c)f!GVG%k4
z25f!WOK%xjOBcU8X_}dfmMVhPpPil(js;e;1(olUM&bFy3uSd$|98snV~+x2t%M!L
z>o{>xy&m9+QN;h<%pRqA$h&9!)GJYQd%|v64>2j6?engnzC`)?U}V@!KUX|EZ-uB7
z>>{=}3Bgufm&ChCvf&UF$m^bSV(@fs@V~DXum+HdLzQWL_%-)e<$kO4oKqkSp3_Jl
z+MM%)&Uyd4ETonEB$yvA;YxvsB8IgY8vg4ez#47TjdwY&#Kd&eu^VR~gdw7jPhJ2H
z{0C<S-9QG%vX>2SWwFYgy8Z!H8e!kyCunap5?!U|7Lay;E29=7$`GS)t|M>K1X3DJ
zC%TC99Y$-Z29gHKdj2L6GAJG5<Ik<y-6NB~A4e<|f>kPcoNmquoETq*c_ps}lNK`-
z?QHJ~ePZ<M;l=ul6-vcGhE!CJb&^bHyiQ?+m*;FO&E(8PZ`pkOiH#}>F6(H>E<@U+
zzJuAbS%|{yzfx|UfSyn;YCgC<%0xj#WwR;zl(rNO(REU{#YmVMQ9$T8)<~Bsl;NkE
zqjuarJ8rEcz~Vo%zA0?x1HW18X~y1jf@sp##%+sHJPi6TinqoD?z_9MKKmxt{-F98
zI;*cyeZJ_6T1TL+&@}jTh6aSPr1Cs1(PL<}68bmDqIUHueOF5rLiKK@W#PVYO7xmb
zWLC{TnQwRxH<1Nf)3M%&B>RVkU-F0Fe+2csB<xsM%BY(8UEikBNB{@$7ZRNS5sVEt
z=EGqvlhL*7Ime^q%TNpO6;jQpc~x?_oK>JkEHB1)JF@0y=U$%5Mi!E)WI#g00-V6d
zDf?3n$9tn+i>c#DCgvqVjpusPO_J-(?qf!r-1wf!!T)U?kn?<>LI@*ZfTAa6uMCHJ
z_Uja+PVa9!k(3j5iB)|^zs%~fm>R*`NxQTD`F4Fzs2*d?UgKlUfvWoyi|3kx{=bHy
z)(5W}dXo?1f|Il6-8N7Z0K>E{PR4ed-pM!wZke~iRUjB#bl5!ctV~MW@f??{CdNd>
zFV%CL$U~pJ;h779YMx#az}D@ieDVT?o>@Sx<x}<3Wmkp(RMazcCx^exxp22vsUPte
z9~6GGkPgZ5JKtZQ!+B5LoeJj2JpQ-~l0QDNffDl#YGv~{JZ5krQULlnSQ7q0?ACuf
zC&oP?Z7?#_H~PDxC&-`N5shp(Gv>I68gi>`Op!q7@*&z)jUn<EOWPE7M#B6$>!<ox
zl!_4jO3{@6kPVmJM)}MDHZG=(rSMH)yBLdoH$YVKsdPF?jt|Im;%WU^%FBPiup`bf
zEU8`p;QgxyhZ5ZG?KCb}sf~MY)d5t#&QgG5UeJq$71qBYaiaJ9{(%L+N|X&Urzq?I
zN{MzCJBCBVqU`7F9<Yxo&nIyEOZsSri)Zh^ICu)iqSP?7;=7CgsF{aa<a)5aTb)qN
zX1nL^!T5C~YIE%rV$M>aAN2Xm+!EMxClJM-eZM!_(e$rTxMYuIX84mawc~C$wqe!=
zo8rs0Sg?iUthRNDL}YxW(Bi$WS)h>gIqW2g;n6@qgKu`as|BR%nFDWPlpvr#1XjX*
z!VhkBv8&%9Ue?>NbC2O->o!hJHhO_>?>JReUCevTlKdm@GR*&CKx{xXn2L=I1BI@$
z7=tAQ$R-i1LWW!3C_?Z(6oEtbjsXhw(uJ_{nB?{rvJ`<MRLav2F}UzEa5K6EM<A^8
z=2M>N3u+Q4BUW|TM-OQfq?-SbD<YMJiGJ@2ATX1aQwj>ixHV+DhKa_iit!<yLjU!c
z>}KQJDuaGvz*7fJes~IR1`(Phuw<dA3kN^4A&yQVeHWp%r$lKG6?(^mvx$mnA)xX5
zY0&`CLXNC-+S^7Wq?v5vZ5kg)`M{j3=@;-gFz1#rZD-=Sdghl799=wdcu?_wY-*h?
zqz3OP*2ZC?dqSXvLT_`QqCElfWAJ{*o^cWUE(y7oZ=!DOWe0CKs9*U>3)cEENg1Yt
z^}=A;g+_H?(OeT+qDS+leTdlt1T<t1WXzk@5;jyefTFR%(q<8Ft<iTK-Ui6ds46>2
zDAuG_TYgSupAF5TgI86>DE=603##13GUzNST^+1>SHTu;jkKa?l0vXB$M;ar>*Es%
z3{MIRPxUXWC!qY&;KAL+V{SC8n}YVo7q526549DaHsdt_P4lwR6IqTg=ZxS`^S^yr
zw2^N=wd;)3jV8#5y7;;NmX6dl-Ys=uxaD<;Ff0H()xB=XQ3NbGGGSf&h&Oek99$li
z$d+5@@1;Js-dSu^ukspt`>Mn4R;j~#iUC?cfVkI7Znd?%O-Hly?p<I`*T{WK7o@Td
zQduig2Ih#@rxBcQG+h&FpV#R@W7BN-BKNx&z`%tz`&=`aVk^n-%${1EA-TwRabl+{
zdLyFLfv;(r2^<TpF8@jzmfVC~?*A@n)oP}ahf;m}vun=0dKZ1Y-I?M-Ya}cJxva2E
zavQk^q`upllT-cIty?|D@0o)v6oa=}2E7MT3mU!c4f1j27HNwW-(Z$clpI#tYUalB
z7=6qxIb!whQ#blQRJ~_7oZlBU91)^RM6VGoqKuzTlt`j?f@mY!=snCZO7ujD8ly`H
z(TUCsVnlCIM;)E0Bf4nME&u0vuj~CXALq+C_daW{wf5RSd=<RUr<lQBY%c0ZwIH?D
z1E=!$ar2jBXNCqv<+~PXFWdP#qQhy$|IkxUvV(}?C3M0tZyUl+3fbL$5#gT5Ii6@v
zs_d29hR=jD5@gw~b1ji3PO3{SHLN@QmZrGUizM}Jh5UNSao>1Zl=eU-x<ND=v=ZfX
zm+`s(AzAN}q6ZI`$rbV-fa^VM&o9Q$E{H7xHG8J|X}@y2uyo=Pd5`Vq-GOsYm^@2I
z$@zh?36OP#^98~u!+@x@&qKF?M`@Y_!g2jX4UiA&KZ;tH2@)6iSBIAAC}3~*uP!u^
z-b{Ta-@dzC|MazOT<!6-7alBM-uK>6BDMM$ySr4~!~T;$=3!p88ZKMD<wXrff9T<$
z2iJPe$699dfWu;#y}1_CD6Lf_c=9C7m<ZGn1<a~O8blUE%`MJmc=X@-58jpP-R1h{
z<JNY7Z872l$RqnyEYtsfkhx$>?!90!l1)P1<7U7P$F2TS*2cLf51nn7rSC#JPak&h
zSMF9xZRiI)+6&J;gcq!!*Xmts3(GYt#WOckce4L(xC~Z1^!d@~H2ri-$DfvLXv%QM
zm+9b$OeMvai*xQpr^R<>BrOs<z@L6{H}^i-^u>zJ?V{0(X;V<<8Smw9+Q|8I0!qzY
zgGuWM*!-mzhPzGcAN@5Bh*6L)|B_2eJScz5g!*BgAruc@8J*96;{|ed%m=iu#Ehs@
zSh&i&0Yo#t_3OyEG6Haan@1|fGS1O@BaFwb$9*!qvkc7<#<At^D7>e>_f#jI3IzpE
zdJ2Q1i^p?sNH@UV2zA<@IX#`zruBmZ;}hs#Gf5w=^;2c)BV4!u?59bN`@n;;r+#5)
zV(5-f<aTk;Pue(1#^7?$q(<pfdLf4<y`s^_4y(smS31>jUioX8A&Q><R2~ZAMD-V*
z{RT>2v#=J`;y99A`P*WLiMfQgwfKARN^XKl0l$G1nMq_Y_-?ds>&i%}GXCMv)G!c!
z@;k^97?HSZcQke@1vt&%A^=qtVcOk%GE3mE{kxP6cD+PbJ-2+)ETjQ*VzE7hE4VK6
zHUiW-C;fA7q`{>o0J$9TOtq``<;g3!rID(Jaj#hTB<OWgm-6GK(M=k_32u_%XzA6d
zOeQT!wMdCOUSIbkP-p^PG%N4d-lw}=skux0F2;sXU>{c7#Z<L;9@M_~6-Z=j1+%Iu
zLEUp6-mEHNs~UE|9j`PZW_+R9_}VPp<d?z3(<xWetk+l{J=eY>=m#@8R?lMaTZ&?q
z!GUZPo(^76+`E4$Cyr+^3(t%%vx@tUk7suoAXEeFnt30Md19wU^7{(42kt#Tp-!Ga
zT+8n}@xP_#)0mx@XB5ME;xX^hbSzxC=2dL!K;nn={{>C|OgMZ*ptO4vTV{T;6#F6*
zvAiM~Ik^;PW`<(}xsmHtx$OsuqfF6TJkrS0P1lS9JEd`#;m0o1g3%OWLMyA|$iiE5
zKE~%wF2!00i1z}j%R42kF8H|BZvh577My6s%_ncCZ5isSkwzS*leiIoPh#BLHxF^_
zgtW|1^m%yjeo`beUs7oG-)O1-GTEwL&B~4fu%_)1O2n-)0&3$y)SP4C^<7cqNuDX&
zQXUU5NGj?GFx-`$^EeKa1-@@vSX#A}596Vr^<iHokPGQxM=aY*4AWgc5F9A%tsMt$
z#X8p`(d^vx`Ap*}t1tvj$vav_86bb)bJOQOj%RlB4)^RB4kh|;(2YQdAz<gN+EQAb
z1F}yN;}$|9(c>(F^RFX|s)5n1IvJWsttW{U_qFb`Yoii))Li0?n4BVH{TLI~|B~;~
zc_-?!(k8ubMy6cif{6j(W#!%N{oa|*%D*R(e*KEmqO~TaIH1khcQU_3cp_hXC21U_
z`V8*Y+wcqgrCvm-nf{#nCE_csw=9mqsLB7q&l+FCCgt9QjgrqZ;y8Ga&mNw&-M_DV
zDh%o~u<38t`HXg4TEa=TKB8j5B<H!JRnP$7+zqdj-cUSNv|5f?Z5IBsnmH*?npDMj
zklr~{uy*%NFQ$3-#4;ky=2>UC80mkGYsVu0Z^#M=UZNBn$PRtbEzM&{ykXu+<>I{^
zy`58SE!ay1@c8Y*9M(B@t4Gbh>+ElBgfNNV)jB?FmNl&D*azn;j=PNd<6-JD&Zo=h
z@#v0GBz;krViF&>&!`pyX8!`Cf-7!{l*7OFDov_Rhv^yjbx~hH%j8nsOd+}`cWP4D
z2S3brVTTh<V7}2JJ_<+{9bA7exT^G^7Wej-7|NV`)t4B8M0j=3d0BN2x-rSVz}p9)
z5x^5<#hehurV~(^m$mPy8<H`m^F^jh79+32K;5u>^Htyqw9;Ua`6_Cq-RvSi$~m&u
zZ)DEk+p;XwaYoKBGtqc-gVLWgn1Fwa8vnrm(fFCsv%vF*n<oicZ+yFU|5@okhAA%*
z`DOzT@Z%oduK5WBgL0N>n{-V_%t}k<R8taIoXC>6xM0mQ+=f0z2bur246Eo)27uCc
z>7UYOc%b}3>gvCh236s1_ullXJ1xqKiJC**4UKF|Rm%`_K<33T9=+sz@}f(a%pbLu
zQ$Y4sYW97(9_<C!2cn+g1v3II|M}Na+7ywsG|)8v2E-oaeu}|y<5O|^#X0ovl%;=z
z)xd~O93w7*Vv*oNZLrI$uLe&Q8Q<Ke33{;LbfWoIn=kq=_`-buchsx5x{q2i)oYrm
z0M>2z0OgfCs<7|-Uypf)N9m%vNA8?<<jvUh>5b8|<fcjhAoxY5<&_fNeOcdUJCBk&
zVcEvoJW-~a&5c?4^-;T715q)LVeaB0n<20KD+DX7DpehH71ThV!S7dhL{BUckPxWC
z$a&9ZP4QFb$xh?L{Xc0j_8y9^k!2P7KseH$v$&a@8`7y{L5`7bq?n5oSgLWA(|oev
z=s1JDwwS+$$3>k$4Wwb|U0xIdu~tSz@ln(cPX;20)GCM-{ro5&i4nX~`*D8z%Bj5e
zL9TM+Na8K87`yH7Rn^s@^)|b*^5?#5J>00s>~a5nqKa{gtCneyLxB62c<qCD0t_RG
zOSVIjGL!#gFna}LNF0ng?CYW3KQVi<aNk^@^~;F{i!z$2R~IF(aufWSt%63zg}@(&
zoh-zkEQCRW;!o~Q3EmN#xeI5x<v6sCzvu#+dFex#6CCYvCAX+q65LfE$lIfpNX&L5
z(NGr?yb<`A`ibc6wJKZ71BuYnk6b^D?``Mm@Mz3e_3Byd6!cV+w+MYMH>L1I4(H=O
z6Zh9s(S-cW?SF^cjvH}GOc`1GKs$#{W#U%!w0^|v<bJB31!aBsCn&mOS){t*77P(6
zbgFHY@bxh@iT7*ix9Gl$#%)Awxu$cVU;suVaCHId9D2bjJ=yNL$5(IpCsCbutvtNj
zb|&@3k<IV39l9tBb+2x1zRzH(Af8n)q4w~zC$~@d$y5DDi`|TlF((;th&=ryT|x$T
z%8bU~P@qf?Xm4aKoA_pIlZXdJx*`BDg7JG*{*W$Zty0@dR|B`}TQw(hQLYdJkpqQ3
zym@WH*QJ}ke}l6imNgE!iWkKz_2<SOdVw*?bUbuFdrv(^Vz#t7$=in_vo_OcIHFw%
z1L_$*h5=4SDljMNTgV>8cKBW~OJz9tds4=qE|mPGNc-H!&tC%T+LS|ws&mu^*YcJ4
zg!4Wb%YV=htY|P8F__84xz@hRsUMa3Wx4BgK-zi4=<{dqHmU1~cQ(zp3ya-(MRPGX
z4f7qOl63U^tN73$!9jL|1%;FL6Sh`er5BK8a<0X!Gr!V{glSm9-c{UlhK0IqA^MK3
zv=);<fhL_jHU{~ocnkSM^h)*x$sM-Y&U2cTxn`?GHJi6iy>KUxYB+)fwo=hs1p3u@
zVkXNGzsJh^FX33{CRhu5IR)bg-cxFbl@M~P?~``dBCCEo{~I~!4>tS>mBgJmqdr>d
zY4qH+rbfLCSFzn8jk$R7MTdR#i8ZqS#d;oi&V{d|Wfl)FDJwc7`@{1uTFLY|1f5Mg
zHNK*Ae?KN3ZypvSpLx^d!h9jO!=fSP0*%}*f-Vd}`KHWAc9KCJ*`UbHbfdZkvlCl3
z=*r-!d61#kL#`hz)MGK?;D0yC28AScMttn8z5id+=2~D2^PvabF)1YYF62UP{+W14
z2K-|OI`&V#_Nc=ewk6X(u|=>^&u6FVk;uL2{z=yms->)D+uL;?`KUPg?f@)7F?@5p
zK&wkxHe+P#%ZuPCi;ysh$GK-t=%@7`!%o8PfgKmbs@BBaO{Xik(=Q82-&XcarKUmG
zLQ|UWJVxbKmpS%aLl??u<_h%<MlFJti$o0*S^1Xj-C{&#YxfJb2SN?aBV8Rv8m;{6
zNe0|A+oQuI_{lf#N#rN&JzA7~xM)jmSsN;zVi#fQnG@jtLtOIr!h~a&N`-a2NhIO<
zb}_iRxS^W6XyxzO#o-;rV*s3zj>Ir&uf~nVmK6kRrS_0Quo9iw$L9L!rW=;MyXn^t
zzGV(vB2_WNEhX!SOr6(8?uMEB%2NaOQmsnk_rT~akR#7PCmd+Cen&0qzQD5ahV&0P
z9XpPFY_V5Wig~GWg?mQpSkk+aCJrxfR#=xJLnG^(9Ns#u>=@8-g{bSbDH2;u>_6LL
z1X|VC@h8Amg|Nw+dt;?@Ah_uji096P70((_m*vs27V$OCzq*e$J*nH!2%J7cjlIs_
ztJ1SS(5Timw8Rm7(fOukq4Q}-v|!xs<gXBjC0zPDNmz8%(Na^<{D|oUI8E1A#F+iP
z5fOgpcX_qy{E9x4P74NFrBFEv`TLoa7`tO<Q=_`=7^_leoD2zi`<hklze#PiA4BSL
zX!<UR>$=M8^-$m*#!%eH5e{}nV4E%;^j~7ZA~AF)=RQ+1X8Q?TIUmCFe`!xik)Q^$
zqGXNfPNOy&7uVZ|c4ds>bC&LKwId&`?bupX`$>_M0uBq(U0HomGC8IUU69KNU<73#
zcDuJ&`*2bAdl+<lWyledwRvmOmSM07%H}<2Kpu{A{x-ojS84};gLJG4Sb%IZB6wzM
z%JwJrlY3`|!-d`mDv`L1!x-YOPhF3m%@umNLkRv?V}MFO=0aheB=s|P6&x8Q7KT5t
zDA%?3&PB&%eHu-TM_IDnUMjC4rzb!1_S>Jpn#^mqqK6SCeo4{Q`8(qkhgqWKzV#oP
z_<uAGOeP&@_;O1qPU@U?l0CJ+`S@G>ZHL?KU$y*QpgkLz2Drv*HnK%hM<p~|jkqFQ
zYoRugp!PQ-YLvWq8aVOr=U4(>`Nqej`)RT!CGcK97|p1K1W!<<Ya+giY}14e>`VML
z8!;|dLuXvy$z78f2uui87*GMKR7CV%B31tr@Aes^{`S7(J8&32yhRme>+(tWY@;=0
zPAw&Rq-1wQtD?Qxg#->F3V;4Z2N-z?hj^NV=7gGHNjM8lZ+~uc``}$UY10eF`<hsv
zTI3U+Z3CnLh(qN!EBZ?LH1r^zcY@c1u8mXLQB8k4{<vS4=su=)yp}$Ezs5nc-kJX*
z5D{>!%fl(PE{hnZCQyPA5PQm*^6*wO>}h`fkCa#~bq0=WyjX=*yZWS>#0Zcnfn0A}
zhjXrz(@$@ie0vdwfj$#59z_&%c;nwcC(^xjMX0~f;XUfnhE!*oU_l{WiKp&>Qz%&O
zy|Mj?jQj|t{55d}hNfo@e9z?|tr~A(^A(;=KFNIyP7GA-<cLbxx8g$OM0>52t(K*W
zFYng`7`T~^w}cKkI<twD#<AExd}>(p(x)P#HqZFvsr%Kt7QYX$6P>-?xbNmakzGtU
zC6ytmp8;#uz}wGBEBufGZ-}hAv|CF($T;ZI;*(I0gl^iwHHpaJ+LiB4W3I_jGJ_{O
zY-;whlZ3<X12z>tpW0+15WupQjVZ{E7H(_Z*RydMck2(>QKIiVmj%{r?Vg`o?zZla
z1O~Z3HSBcL86OG~4*RqhAzGNm7c|cz8e|_YF#=>KCwzs4a}`b<#`z-gyvniow-6}K
z8Piy<;l!9|Dm>k`tw(h^tQE39n;J1AsuW1Qz^#yE?JJ98HsT7~{i7>K`><zN6=2(o
zbfJ_@9t?0Y7~r@xthHBD6K5?yy)Yj+I?a^asfc=tWZ9-KfEmp#+rY;Hj@z~geUl}3
zFn1*qlc#KVKJ5x*VB8KAzUTmegN8HGVlOeANguWKCb;M7dknw+97W21K~bLWRQrYc
zN6ugW`_^*nw!Fi!FjH9u|MGeZ>e^-{+{c5gw88Y6c`O>Zfn6Gwk#%qm)EjiI2%6M-
z0JAuS;YufvU8J|C_Xj3kh0{L1j5Bh_8(hIWRpq`wFRFuSZL4%QTt?kW`;yAN-Pu5A
z{OWR}O9ct-wQ{LMWc1L!rW(r?d;ZvLZqhd`OiER@{wWE)6*~XmM8fc_oIm<}H!p#I
zau&Q_Wj+d?)y>lLeQJn~<_)7?x0jkKn75B_rg!z*(ix3&!j{=X3}5q^ZXIrBf<xP#
z-VHVyNmSpa$Lx-y&zk35jFa%U6@L6*tiltwm(7Zg%O-Mrc>3QxoW|g<b$Zuym{+x~
z#|IO?<=yqn#uK{6u^uNur&PaDhuePVon&%mDsJN5NiHQt^`)&>7QR6_J(|99!-O!*
zSbfGiX3{Hv>E?2Dvv`!o$iLZvU#qgEOw+x(bJR7_j*N~yK@JIrC+sN=J_gG-WkI^)
zN31<GJ7{do9<M0UkqD{~fI2PGFFE|$GXuVh(&(pp=ys+>BM;606^zuqU2EanR9Lnr
zZO81NUX(ePMD=P9!7{JsJ~Y=zCoRKSidkDD>$}Ri#SVd2g^M9>Y?LD4X*FG=Q1<<Q
z<pZ?3|E(yfc|Ip{d#VOrm-P%@|8B@nsvX4q*_hrX-M;a>is;w7M|`Sj<k_J7-&K0B
zll=V+qMvX=EtQrKuIQ0kk?m`DYLf8jdNhU03Fp4Z?vd2*LJReW2fn_eF9RpdMFZ0=
z#z23a@h4h}gCk0(LmD0_gd|=RlP0b{>h$e#gXaoAEw|^Hkpj1A2f#`i@~Y-%4|dx{
z-<dPg4rsI_PcqU;IIA-mwkl%oeQw$%SARDoOjqf|B8!46HLJjYxkcOI0gI!OMGmmN
zPTWv)fZWBSlhw-xG_`aI9jckm#v#Z6t5auK<76>2*|X8+Q$g!D&FbR*bb5Z35RTL8
z%3xkz1PhbIgh4Gvm=)wiZa}LF?BoUPBnG+@YH<?p5*jLANpvI?DXnq28lXMmxSvNd
zVijE_s2Xn9!HZ76NW6-WSi@3qynZ{wFKZrw#iU?OH9PD)^~;mz{aiMEt#_;y29W)W
zvhb4%kw%AMAS629{m008pa6<@;2h|5jLEfqb-aEPgYxRX!i?uel}?hUp3YhSMm=7%
zh~MwI7Vi1fIRkycO_{9HCx6ij=&VrCXTP|$vVix}(Pwldi&XE;=-3x!&CpEjG~$WG
zZofxG9!2i4&fyycWHLcjrojPPnJGsvuR>YDhAlbTwTVssbq@s;1T|8k->NTXyQB-8
zF$BB-Dnj`40QPi`KOL;knlgMK3*P$ii<jG<KaFkfrwL#;v|dDh%|CSP5fiUZ7#P=l
zMO3x5&vt|<8kiGIUqJyQN<2`P_OB}Mh-S1rO(3*aYnf)iUrGy-Jgu3_i$ug8ij970
z=B|39WqPgsJrn?+l#4%@4^G(LhNff}Urhs;cke*UD<dfx-AB?rqpcIQM1zK<y?c*}
zG1^<UMP>dCX=?lC#)8j(Ki!{2(&y4=?irED!DiD$S#UDMvtRg!#d0EU@*Wlxu@@1#
zC%AAAYpn=N3r0x!et?98@XaS&+EA{x;ta{_XkKL0HP@{FnWvFh`pSSH8MWpNu}>2+
zOw68nb?BMvuzxAk(cu1kLKT7q4;HF}%jsLy90=Vil$o~o6w%SZYKR9|q2o;8!=+xd
z&9(Mz6*?&1ej8^#zWxgO)IcCz%fs5Z^wB}7Bv;Y)bQ-GlL3G%Xk?jx<7WLopyBy3f
z_44q*rW5GZmgjp9acDK!y7}5(_Lqox(r^@g_?zxok@KF@W-G?$-2l~5^0YQg;x>E5
zR9S6P4Wy!TJMD>UMZ-e^wE7joxAub2w{Io*e)Edkxl;FmLTI{}Jdtm0d68fMrOb?B
zH<FX)CEeHS*Z;-xcQY;K!8m?(!i9-&AA(Wm4^c=uTL{{=E8e9uZ?^E_tpohXRoiBO
z>_qxaUzFHX-nPGn+^5%x0mg!VOID_->?Er|ZkF;4|0^6T)5kO3&_@XNnzSkJv^BZS
z@ikXZ<#=#FG-E^6dwU8I`Q^o(#E<)O>KL?%PQoSGyVR_d7fmzb?y(AJ5g~%L+e!d@
zu`aHBF(b>ncNZzq;DE~3e0ng`^g9^~K+OTuYZ4NWOKRC}5rvDX>Uw)kv1!lPINUfv
z)x7!nF-#k!5zo1P-gOG$>Ipj&;Hv1%5Ix{{d%NO8xJXh(#0Ov|>)A_@PyfZQ^k1O5
zJ_2LmIG~LP4?BUA@32&E$yeJd0<VY%L{Yxlv8sa6g)OE(%;{VFNtTf|_7SLyIaE8+
z0t<W6{CME~r(rTXRi#YP(CbsMD*UL@y1SFX+ft{(#efvlOc*&szqd0j!x-Tge8Eb!
zNbZ4QB*v)<GqW!$qM7{AGwL%Pcsy=7UhlWWXBNs>JN@k<zL2^waVi@gj@ymRKF!IY
z6?kBt96h*lDd7B=f48KJ$wdl*@DrEFKX&oTXr#2+W}m_N!3F~4=kU>R)y`-mqN9U6
z9Hzxo)lNQ~Y@adC1?VTjjNq@GPrg!t`4E$2O6Gx@yNbluiLcxhdO^E|5N?YtXh=Gx
z1}tc-v&36-yeQi|J|q(H7^&d+R-5H1n(6O)!7+(1C1Q`2dH?E7ExCiv!L|n%>TV?J
zoYWDUFL)Pg#U<HXx8MwJ%3U7bjhJ`Ut70!q^M9#XXRN)lqTedl;9)G7*c$kQRp(o9
zd`e|~=ncXMk9r(D<r8g<<c~^on6hKb(3NKiOwi}iG9;o(7BZ)Mp1LX&sf#timOEAZ
ziq@c{Q|ejDhmN^&Y`tgNnA?D%m?ESgTdJ>79Xn}qbM1EfD{`Q_jiK?eM^X+OZ|-fA
zpOsxjtt1BB7u%C=_|PmT(iL9c*lp{0F6OY_Wf3c(Zh<i8?Xe7_b4HDgkcMJxA8u~0
z`nNb3)bBzKPg0RAeA1XEU*Cb3TD1)h$4qcM9HCkBF8Nd7QN>&|-6wWid4Rn&c^Pu1
z_s;3=1HqV4Tb#7qrX~4^h?Udz539^J!%>;xM?w03wl1098zhrh*<RSIc3P}T^bAgH
zP?Q)A2?>(A7gYN-%16{D8@DqM<Jy?UZXR#oGJ?YpVkx2W-DZjb9~WI8qHM0+a{}Iz
zpKp2JTG^>BG8LWkt>^{y-T__`K{^YbnVjhAD{tJ;Y3??L8rLFzRAcNnO>REVfvR=O
z=>GQJiaJEH@y%{hTEeWm!4LdobO06BZGc;n3Jw1)jtzZ)?G8rur;vtWNZk_V7wvt4
z4))eVgY@BY2d;DW+^M{?Z^07DVVK_&GQW!e9?@)Nwv<msg(3DH(4mN9m(^h}biCS~
zmSgYy`@bL62KeHyIT6_Rz3Z~C<Y$^4q4+Z_BsO9%hzGUR`9r$;GPo@o>s&-%Q%(0-
zy50RB;MBcsA&^y%-1KS+&`PpvvaK@4ddlBd+Cp!4NZJ~j-H(|V2>4>34a>J+^cqFk
zR=(5KdnSim3KfCLKb_P!h+zbsZ}-hmT+?~*e(oRnhd)g$yK3RU)T0T$X=@T4wf|Sd
zRVvcoSqF4CXzoXlrZeR&;~ZPdQR&TBVgMz3z9jde+3c-|rdz~tvmRd7kYLoOKRu>4
zSq2$K@`pBKa<^VMOE|wv<UJrT+^Xgu>8ZOpEG0eDb9W+;*D&E0%d^)zMso9@`<1Sc
zj(H?F4Fd00b}pG_^@0LL3g}e7Q{j0XCAyedn(X!go1X^=F*S1~wa=#yv~)z`Ef_aq
z{xM_N_D!kCAKKKt$DZ`aUS&<#_(#i6Sx%s!HebAL3SoS=3eABX4>HQh3!TaGO>eT4
zV=)_fgUkW-%aXrfXI;aZ=MReo9&Z)7i5-3ayoS4v?G5I!^Bf&qLEC$Kn%}YA4P69w
z&|fNGm(^g}iLsca;Wn+I<Y8Ic1ACJi7le(Br){7vI*zaVm*B?)tG70P=;nzWuL2h{
z8o;3DhXV~d-AJA8itVy*2A)fk3IHU6m)0fNFL!)iYd_kndQYb3lJ~P{{U-ytn?(Q)
zrdN7?=>=z4beZs0TK)E*gD>m@NwBMBjF{!@SON91&piNGe9=iLNE2Ir*IeI_CtS8U
zVVfVXKK%;9-E$^&L=g9PiyJ~{-VZ3@T2Z{-!3tPmueGMjk8^KyTj>XWP1Xp93Narr
zFx&hH`Ti(Rr*OIS=H2LJW=3zb^__>O_!q1Sh&(uJvuiyYn{>+S@=6$7s3#b6vU1v=
z*e*7--SnL_$^ZvERiKcO07%li1i+Vm+S~YM-9o)WJtKNvqqWXgG|;dwVvq6W(~SLE
zcdQ%BQd36H%%-tN6SLx18%Uz@be!#|Z87Oe#LLCb{nYP^w~U;GnZztCPl1Y0wUv|R
z-FG8&G~z3%<3TpLEK7jARo(-bolMh$|60IFIRnR)9Y(tH?*C&f07j9J9Lus4FX$q9
zBK-<~u#J_LsORsHjT6i7Jjn)30k<hY*p8Jt$meAINs_$Gl#Dg@OG=)CT6~hraJ&{=
zWbyYo22X1*jY&2x)Gs-G?G*4Qs)#hA^F%Y{CPO$;NLtPJc>nqG@QX$nkLWS;(I}}4
z3#y!9Hdncas1J@A=jQAFM8xbRrl-z5Z01}ZKDAc>_}f9*;Q!rEYfTuwI96eusOYOM
zfdg>TAny4KZ9sSN&e1oYve53eFMT8eG<11~jPQFb)5E{~mFE8)^T)I|T7t@oEc{ey
zz(}4tEO0}F4%&Zwk02<8ygeKbnPIrE;1?5nbk>8M?)Xl}p{;myHs$~%K=<WJ^~aYO
zj~I{V`CbMN{0w+Ha7=a{M19k!5|c=jlZU3lPvA@FlmOc0eVdFrgAu*IrmB$A#390?
zM8HBX6|+T-vXPsIF@Sc4vwE+l17CD4NqaL?WYA$W`!eeC$xGnvgfHL$696^g+k?)W
zqMh7r`hYg%7^m3b3TnTI*!VrUOLfE;$%0F4UEy4u%VSe$i0cVe4u_u1bzRw!rhl=#
z+#f6X1Mzh_t58h)PY=t*05VCW<rz>ZLm5vP$gb!}p$NYj(NQmuoehx<1}3d|&iahM
zF(3X#0PlM?c+gya^q~`(1pkQy)QR@_1SM4T{ei^}WN}(TUMCWnWKobc3n^wrrq>}N
z{kHL&kG}-+O%*-a^m{8vml^jdbf_x38~E;qg)M6|-X4R~E6YE>CP={o%!DB+**e#Z
zp}yP3kEER4OBRddtj9F7eor_)xk5Cruaa2Ruy^qrJGjG#DE(El#MopP$pf*fY{kI$
z9F9VIU>6)vT0!p!seo~$9@<;wcAG={GadvCD?vSUUoRqM#rkKE@LE~PmCLqdh<Grf
z=*5fzN&es^$B}3i5l*o7=;d=PJ{4Bh1E>_h#x;C4w#jo*?6s~7?@Ae4fVZ6dr8D>m
zA9DVw-l|SJv0Vfl@|kwtp8sR7_I2&HVWM8@xdug<vpZRv4DT8{P%0i%Z^Ax|fi^R1
zMVR>Wn#x_0oMxW?;foAtgAqKPQohwEj8?~*PrYrZ=eLO)5Sz>2Nv@SS1@0obWkeu6
zL@&N@WzOXlD%)OMASUS`i4tu;=fZ^llMH9Ypa}fC1Qj;OF`A>&eZ3Yh+`*&0I6&S^
z;`Cyd)HXMU&WJM#VON#=0JQvFW&Ne1VJ`J-%L<nick7wL!RsUs-;r8Zp9&_t?Z5nF
z#ex-S-3~ox46~f)X$R22_L@ou@MH~@fXnpr1uXD#s)yZtO-TU;lw{Bjdvh^Vwx9m+
z(VpXK*=r!jI-X770XTW@x){Y3botrffUv){M0)heEi=#O(a`jP+YxE4hb1fuWe$F1
zr#=FFCht&ehc={h8#LtqYf=;TvVpLQ7-(8*FrCT3@ggfDF4HgxS|D@@$;-uv3oS4^
zjQG%@iW)8+u9r%#t}ks}BhE3liUkdgxt7JTU$7Dd<rkP$-NvHU<k|NKVpsX3)@%Fp
z%Qvr2-(;GK^d}YnZ4*-NV=JnxX7k3$Z@f^2&9ej)D#D0Cey~v6@KVU$dP{)3N;&y^
zD-z3=7vH{wni1Yv+e^QE0dIc}>%kp|KWA;UVxIvZQM}iCYPDwN&@c(Bt!-j%l$#x}
z9$uD{2?t0~C&eN&Lv`fV1G-B!2WK0>i>P^-z#rvHXbA}6IdeM#XP48bt;yf35r2?F
z(Mr?+Z8m+H^z|RUlom9>-Zt!8q3CCsv~tD_#_AmAO+IV3Hkk_17Wm7bhr7#qgs~l8
z<9g!zheVE3X!PFNVdM$x$#~H~bG8eQ9WLM6w}(;s*wpNYu)0a7a1?O)Tscwmdwc1j
z;Pk?L%+H70OHCVd#Vwdg-C?676Ypp_!(@V22m;BzvwPbbQ0_j<pxo!l;D8L~S*KmI
z*~+GgfpRf?C|X--f27)hhZHiM?`k34iAeWdmmsG;1#lnWiujG3;z`=8Vio3>VT=rN
zt!U5t4nK6;d11RVp4-(3h-)>OY#jH0s@-Xw9ZIe>Xkm`@XvWhnccEFkn3htn2<BE{
z`h8Z5m*e)v^2G6d{LPcKH~5db0QiJv@jY^nFbrV|R!cu9S@K9D(DBozL&b}6TcZ=H
zh@QI9FM(hEQszF(<RBP<*5egXQ17MsE06#VKH|6m^4AaGmRR-ta|9?5o%$R6yahFr
z&DU>;CShN02adE}e>Oe6cNQi=6_Wl!8AeIr3uQ+sllZnOz!1F6M;aIkd20o>?^IZz
zKKfOpu)H~=os@lqK5tf=F5e=ehvkt1pN{}<vI%C)qv)Fo>;(`Ttm8}h{N|rH!uE<O
z<Myc99_Sz5(qkA}&%f05#YH+E_Pghpk30XC16rj|8P9iZsiMP{aS=eW%fD9Cn%A)7
z_S;W_{I9le-Ay_XL14EFAf}aDeg#k8y4eVD8TENmtz2*_YRS~9B_KvHTv-tm)potr
zJ2q1Nhp%YkhEP=moR}luuJWxRA0<i<fK`IggQgs@d&1w_e}4ueo#vWQN<PztTN4f2
zA`QF;VvRf*$`&j2$rrlmETH9%zB?aC_6|nAH2aG;A-L7wFRg@dO0`xtu8hN~$7L7q
zmIj_Zq)s>XYwOt(p%QQ-xGR}sgNCCcfK!`eTdalGI`dbIvXuc;Vq6Nd^NFK#iAioz
z<8Z{{`bF1?pxUU_*Re*9`|%xFMkjbjf|>-SNdBBOmqlkbAO7ZGx3GG{*5L*vfRvEP
zl^(i5tGgL{6gs1>75I~aOmn8g=bTSK%VvR&B}H*ZCFf;AnTP;XpVZjbtz=XY%3uE6
zAMB{tb5z}UZxARRLBQD~5}m$R#Y_i(6OEb@Jy)gV`lKX^zjJACqlHbY{gwP25Os$-
zx6-N_7ylE|8{8FrB8ldsS(7tLmoYim|Jsp9n(80-e($RLF_wn|1X4Q{3agLrf~S_8
z*dO*iP&x@Fa%*_#)&Q&!dXp9VtQ+o*j#e1BuMSHSLA=sa?8+;geT7}VFqc7<iYE1{
zKjA-n<zUeckcfAHQv5u*^j<?f^BdRcIsv!z*%_@N@$|TxLg0Pzvk_VktwD7dh!Xm=
zS(7IDxReWYO~(ASv~V#jOVz^AaE+v=ex_a>`_Oas2ijgPz(WR_yc6lRz_*aee_Q(f
zN|i`;dy0gB3JefLdSiiIwvwR6YZJ4(#akv4pa5avz24cD%AnEXi7(}wC3NHKJl)~I
zhgucm3FeacjyUu0$)*o~=d54iYH&Dym?mxf@?fbcyi=G7;m^Idho-kk#Ud*ez>ff0
z06s#5JMqKxH*f9P+sR1N*KG~Y$kF$-4gR1;QxXye#r7oujYFfR;-AFB*9`I|x7lMo
z!X4@@XeBgT7z5<d4=Y?~=mm}YOMgsP<$fQLC1Xp{Pm__1q$9>T@Sxa#3$f9m;ql_0
zHa8of7=DCnKxW=d=y&-37v~J$;RrbX0)FaWJcHNuc4~Z1%OEb`b0j}=D5U`iNCePb
z8dKL>bnC!ewW3-9{xT}*;B*}N#E)%@mU~U^HAH@6<JA0t{kY`yaKDsq!X9hP-mY-p
zg6IQqG?cMe-2B>8KIuL-dL#y5>aIc?p+LhZfU5v{3FJcpN?fgU52ewF3II-%jhH*&
zW<<EFhqyLkH~O5$zruxQK*|(fY1PNb^@EXe`GlS9k$xi3`B+(JV$kZhtE&Y_?sNBV
zy5FD6D(?>Y4AqSjh>#3e;)wormbE;?#3(Zg5%|Vbjb8x8vEWwoj7++g`M0l)+m1c8
zHjVEI%^`q61S#mmyERrnEt9le?aFvgmM|!a_4S=mU<<0c<KMQu5`0iyK?G^Byr#SZ
z6c=<!<-tTZCu&8A(0v0<bbo+JC?4w2zKN|An(iC<#QP+C!M57~D>Ri-Ff9he<u1*u
zdp(|^@ifpN5y#quzl)F}wWdk?v)|8|R$1BjRddGit)|ddQjY=Ci4M(WbVP9eiyRoB
zphKRa;m?V2th1{8CTC2;1AL5-HSbgW6!!M166^2%(kC{{lO?l=6VUun3uh?At%j3B
zt9M<##YleN)6=JaBRm<hwMi%7T6sd{`)2K*P@+8S`!PP^-;>bass142?qBA1fUaKu
z>Ch2SJNNe6{NmGJc1B0iuVjJD9IwKeqD`;jo^;f>)iy7#L>r!Zf`juG8Ju*Ft2=hg
zNlF2(DvzC_ivgSHgFN5eP-4h_V3<4PR*Msac8(b^xyi?$oKj(v@O)KiL}2WZzCWh#
zO0nvJ-?GaqrC<5@q`s1P_G7HQui#Ha!XDP)75W}n4aWC(Q#D+;Ni{27vH%$0p%IVy
z=h6YT?mn<yp1Zqv2?^%zNM?k6nLThK8C=cpohk9LYukf;3W#UcrVV;Ed!?HB*ULjI
z_xYa93V|}rm<`hB@iu_<hQ|K#Q6)IchHkykyQ!Xep?$8-fvyWc0;^+mKSW>HLLR01
z5Fl1_oxBNbS|N)99F1dPTYHq7wPmhPyQMa?J~#Er!QZj8XAk+L%=8CX{~~&G^QVmo
zz_M=cwHfp2%8=TWkhu=cY9|)L4ZS{r{t+%GiX+!)+6jSvtoqB3Hts$ibNdtj=}cWd
z{w61{+i88^`yf9TmL?w;k}=a~_fQfkUXfd&w6mRaVBAP%mt&jl-vKQ0Suu^@%l1U~
zDT=~*cg)9U<bPO-fXlo(e(y0B#u||Zf~&en<t(0x9fu4dY=tWrO~hRGF{=oi1t5MI
zH`9^eo$fn%G66#oc3q`>+~>vj3k9L5!K&O#NS}1#AJ=YTT(FEXPs8;M3E{SK56gl&
zCr6hsR(g~<ytg-$mp6@P<<fGII6Bswca38qJQ7Zw+0r?ZieRswYCA3@+%67`Y--02
zl_X^LsW$_Pc%xyXp8o;xVEiGmERA8~S<g3^E7lc@N5aITpdWvS^1d3sM~vHegfc{=
z49^r_nE)GgpCR^!?qXtgd67oyb%4@MTZc2k=218f`aNpqq`6Q=b70tOi`Q3}w2NaU
zsEFLYPQfU{0ndcj9V&2b=r-rkeeBXW^~(>V$vdCEz74DpO<KlZcc?u~=!I)#c5+L{
zJ{>P5esMlRAtC+0r@@&Z)%yW#t3UmF-!H=n-Q%v%tsW9a+al_OVrZ?X>4e$r7dHtw
zH~sfj?oH1%i>{Bs2=8r&F_EnATkldyCEq>eUZ4ZA?5obzd2YZ#79>2YUWs+_GBOD|
zure+5JW4p#m-j3`R}0LMkwW?dqYa~L#D5(la_U~zmjvjX`x)v%0?ia20|4(-|8Rzr
zA#0M4j=N7Wh<be%SL!-iH*NU#TU+}%(4`UMcsWq>JMyN@fv4)4$c0H;jg%%RJ1ng{
zt5WFB+9qLozm^~UXRHK`JYTg{K02C8ZmLto7p)B4Qp(ouj}>|BY&;wy!+0ZM#pUiW
zv(EucfC}vV_bD)pIrxPsw&Qwm*}Mp)dJNSq?yFnjG}pS-GB@Uar-m+sE3!v@(oH|-
z#*i}jj*k|Q`yORrs}HWrn>3FBpVxmR3c0Tyx}xS?fY~gY%=5y3LP#M|g<bFVxLJ^%
z%2gyC-(m+f5y^aV!Y0JKJ+Ru;3CPM_8a94zyL@T46Ae-!g~4VH=OXfn^}gPKR^TZt
zB?b+c8d6Fst9;_D1*v5oyZ<)6?uV*3_R3Lry9Y|1UYG@LD*9DxuT1%j5Q;@--9a<S
zxZnGS{O&z|r-qOE^eX@1(6-jGXQdIMdy7<hs7}9LXhQhxuWMe2?wpM;ZKI_|;(^!Z
z&$z#=aYKcvigfJ!z%jBEp(#u`7;wV>>A>GJdKMPLod7xO!G;D_QYuRrw9KVO;A~it
zbMgG^!2q2iNI6G)fE?sp^&OQ$z*Y%)?|~H+8F*1weSaw{;5giyj~V~G?H%gnTo>sN
zuh{u_sKrj?UVWLVQ101#)2YSHH$fF1W%47CT5p3b3wo?ZZ66qMt(P32`lNxACebA(
zxhp97#AapnCsH><`CuqT?6XZ==TcS#LUjATUq~OAq_)oI#eS?XyvK613lFzDksvqg
zzo!2Y>Oti8%xztZ7(3@hDa8qc#xI#0v>FUF2%M42@C-iQ_5VqRny1d_>HCOVLN$k8
z_o_=FGAJB4qxe0%bQ5Jb%2i$}^AZQ~wWfXT*NV4Gj7|fXVYSsA<zl;t@b6RF1yhtt
zxoKj*;4pFGh~vRPAs|s3R!@>JXd^#WC1bb0D<3t7fj_#lFKtNS@#@kw^8_xk)lT5s
zt_7RA2OijmWhMs!nne=ir%ISWI_691SBr7|_QcK_$@~)y-3ax;Qufvv_h#Kxtt&L3
zekG)}eNKma5>-ry(Ma7`rf_ZSILZkN!w}UkWO$1KPnlQ&`Z*pN)bUpbSd+trvKe+_
zlg>f-aLeae{$AZ3&m;$C@FKiSSu=aIoAvynXQ!hry4ih3>>!<7Cn*D4IYRGm_=Q(Q
zKjWQl%_UmZRIQo;Ji=$0|0tZk;4ca64m}IRKk#A5_a0_%bo9b3w=^AY&Je39<UWd?
zCF`6YLX}dhrT2m3T5Dk6=4P}~`?u~Qvo$$UHy|{O<f$8=F(C*gnP?>jxG}G0-e#;A
zI8>2!?k85!Yxm~fc1D$Yq<^OF=pk4UsM0EFGLY37b=ppyul#ig@uX5o0)wrq{VZK^
z7X_9ceLuNm^zHt8>S_7lc1|lA`QtUF-;xLQ<?W4<MIMH6yF)l-SX)QwcX0PbMG>;_
zd@+Xx1L#s3M1zb(?z9+6ajh1nTEC-YAPKD&Cdy6Ozt2I+v?GuN?NP5bQnoDTZumqV
zkCD}+s4izF#RpMgmoe@)jl{{rFuHwC7yRw+=>!CT2p@ZxB$Xd16M@v-xHqdxhCYk}
zmd&m{7-IENr1H~xSBG@}PrBY&X5Tq!iF=wahDa92_nB6rxRlu6Cq4J`(lyQRoj&0z
z8JD`K_UlRSUAVZDi3n|dwGDf$l%o|I3&2+JbD<ykPcQw7xs*us>8(gc0n<-W{s$o{
z@N(5eRq1dOcf)kO=y=f<>hb-T>cR_Ogg-o6&z1vb32(cgy3+R|I@{q^L~h;AsO!?Y
zvF4IT(OL&T&SVNdRMeWwzb?8iZt&ukKLQAl4<y5*33fo|A43;Lq^1T7P{!{4Gs8T2
zNXv}3eN>%A&GB9tveA{Zvm!85@TqL7E%=R%=f%19Usr2nP2;KK)X|;%_Yp#*i8LXH
zo2Fb@2KXtvwmGtU3V-kO1w?)L8|3j@=BB*l13jcR`=a^EQr18@Ima)o=0WDrw9|Is
zcE!5UylV2F!e9vzaA&wUPxqOsaNVt|bGSzxa9NNAqknXfm5nbvdE3cfs@}8@f>Bd;
z#;@xub<t$SRax%-4YH`0DmPo`WjD3N)IICU9Lx9^AEKPU=ZXY9bYqC*FHRhc3^JUJ
zNwINf7)*S7m4|9t?EC=D^NC~q+ruZc5m#j{y+71mH@YGN8KQ1)DIIc#z%V8GI`sb^
zJsrJwJU#a0TqiEzT`5isk@eu)rJiRVMy`f*adqv$!~lSe*Zo3Max6|#Ng1A6nF@l6
zf_%b=`qEti(zk?lS<52DBXxHXt090~_0oO+_WEU`3N_FAf79nitFd+*v4$t2Ubw;1
zjh=kcNLQnyul9p~qp7WtD_qrwEfyk*rI9CNR9N$exCAQfGX}BYh1HRA<#*70)N5kE
z|HrBhq2O2)110!LSiW`o(Y`e-#}cR@C?H7lE?D9+LGl@F0}ohdbaR)X^Uu-nH<Y-C
zQ`&XfN*Q@S9bN`}oKurBO3vD((7y(pmIvV*U-`KoD_V;<o<wxilC!u~xY=#Lnap^8
zBVbB%?K?jowtOQYDdQXN=gphDTFHNZs>qbtB^#Dzo`ER67yndlbCQOeH$3fV2{3z)
z&Za^isFe5F5svN_%<Xtpoi!fT4PQ6s47cCtRmz1xOQEj<D~g4#*F<kIdz<fV(20|E
zuJ#msH-cvKC9e2;GSOGOn_X*oq?@Th4SK+(E&|ergSHXGRZc%OtwFKnAKr-|#&l@c
z$UsHGh;!Q3Sh{x=^YYOErn}i}Qc5u30rp(E8)~cQW*+{fxqs5>?pTSDsliCfU4*))
zV9(jG@S<Ycg1oRC&Lgn>O`fY|NbGOhD&GPZYMhBZWA&8mz&)XZ1K|ZHlex0i01}`-
z%NR;{2IKfT^iRC1{&Ot-u<#6^h(yjDPSX4QT#!}fLBd{dbOHA&kH_Zq2mPhhd(Erd
z(5;zS6>i#<qrd^cRKdHv$RchT{~NPZ%4dt|u2n0I(f+2pXXEl|S;VdJc^!!i=B($3
z4sJU#YotdK#Jr%~oB)hT+}h6uo_t0o5FE8RbXP)9O~i^z$mh$~>R!fuE5^q~+=z&h
zVpnnw)XUZ8S~@QO0w;34BxR@9>C<_U5_*nXKt_9lc+?3H4E>lLCkJex2V8UyQIQ0`
zMM=;G*P2x`@MbG6|M01@PsQNZt7EBgz%XogFw#T$-0Hqe<xYr@2GVI}$tsVmZHVdW
z<3EW*D^BKmjscJI9_^F+MVcZuq^~e`ki0vD{Bz^@-Yc{q1>$9b2h_$dgOb5X;s~D&
zlXdyDTWf)Y0jg1rN!4K_YxjNh{h5!0ByZ5<t8kXOY%O#j847SYajThcJT%|;>}ygf
zYgmEX8NS^~pGf@J3-pzVg|QO4>{edz2P^(h*q2+0)pQ-lv!Yu5TF%^(0!oW?tED9w
z)Hf**F(kY$au*H*=5_GGB$8n#ckY3w!AfYP>9^^o-YM7)Sl~<=vQS&T>wl+`f6n@7
zlZExtNi(vhb_tW)FIgm{^r(T8u9F%v8(=&udhF=v0K~RRAiwQ611oXxR;2qilCM22
z2mh~#T^k1dAw{1C{EAOH@wgQ+b<Jn;^-CfU`)`-TGQOX4-0pT_^OKo{iGz;J0-rPz
zsaCW!S8dopcl)mT1*h5GNohKI)uYZ7s+hC40JnKZAB=Yu8fXYf*rJV3&M{6pacmmc
zp1A$v@@tN9-mW=42C2V%`^dF|>j)4y=h$)I|M8E;1f1cpF)4b!WqtgLg<R3R(O<NG
ztu_&BIb5H{@}9=3ML<ES1gp*7Hk4AYTfa(CQ-Yp@YyRxEGUNCP&;HGZNSKLZE1rnK
zRY?j<%cRvZJ4<*!C;7JWd7^sdX6=ktC5&FK9t83sKNa4y!O(bmQOeKA&KPdydY(qI
z=H75nG$aJKlVs(pp?y^Es%@^fdGzaB^1dD{vgJ=5w#}9HMQsB#gpqf>-)Ak`P0vwN
zdDyESWq}_VhPZ-H3gBJN>s8^LG?{Ax$9~x{>fQg}?Lb!I9e4pUR=;!KhiT^xd-KoD
z2N@CJng{46K-*Trrl&KNZ<pL3|1jl_z2nQxDL(oOG9ejm3?reRKHmyu>e!*VOaZSK
zXa5ap)E6L(U9z2TsARp*`_FjHs{3uarPxjgVJkKx_j^jKGl+%NUYW`8TN$`{?#0Kk
z)`=Qb6SfP0+3^GqD>9sh?uyaMvpG%hYmPdge%blNhh8rBJ8S>wxv4+^ioj2gKu@Yt
za4pL6qt4}tE20R6liH)290Q-IoHrga_D^~TO5`_ol|yjC_#mklfPH1^Y|qT~Z$&-^
z)TdaVkz79XMsiwpX_^p3H8AH{>MSigqZJMP+taNM9(N(y*NfkJaP_ImsTE-sXJFIW
z`{pGM*D*!u=g7UzLqFr~Klc2{Y*pzG;L}KJhH87k0NJAFuC~A;c||NDdAjpEE$uL~
ze(HTbO)=ksH;K<-M4(p&?Npz^t?E#{^%00{0yvRGka}NG?X-5&?%tfn$G00QMbDW)
z)3A2E_rsmQFcAV`^{f$5EB}$|+aIT&*VXCxi{2EMM+>g60{?;(r&N3Ul`qM!?vU~I
z{WuKlYz(`3NJzfFYZ5#I7E4qOxgKk^W;+8D7wU$4Dz$%&vspk7e$tRCk}s{dgJPns
z$5xQ|J`6+V1<QUttnwT_F!7yo%}9*$Add4J`5Oxf5z@$OwvWJL!lQ2)S@tb?Pp_YZ
z12zG$o~j*8+?Bg}w~@~<)l8j=3zY=~ISH#z@N?!WtH{<b)<$d^A2Tq1L(_-f$`mGH
z4{iP7Z=3r%UkKbb<i_ie5oir&w!qf>m#J2~`7!C=VJ4}-q@o4qrj3p$D%u*YI8E;|
z4fk;$lson)@=HZ*-$9fcS$}x}-vO6RmD!eKEuzZJlPho8fjtvct_pGuMj?NGYp@DT
z5tbtHME(&|_r?BqOFlcGLIDm37=A#W<vxyYzTgNMnvVRs^U3Z&FL>{Xu$w$0-t>qj
zhkyttE}`>bwyzzC%Ji%fDs%lIaPh8e-6v1<zNDLBB7c%u{?}LYACmTa3`kT28~(id
z>sagy8L;OWcNyp=L-7};q2Bt>wliZdpJOk9rQutP<ZvA?1@$Q|291T-g#F!?S0<>@
zb70ZuZC`SA<`pg@f=*k3q7Q!cf(1g$xuVOtFP{mrOCM(GJV0=h^-VvEIq0dpk<KIf
zI+=*W=t9#u1ParhgS`!#x915MmQwD@>*bkh23*sA%j#2CO(s#f|H>F{CRaU^6Wj9;
zv=eJR&vetivL|Bh+ICmFU_i05EWRoFJdoy9;CK{xRSfsO4&=}MrN~fTE+F8eA0ylo
zeDGD;&4l6D7T>=o;1K{bGd3Rhzn;8ayy-ghX!>R6zTuxnu;7FnC!{<k%(;nN#Br0(
zmj_-9Y34*4n0(Jtds8u&lbMq8<dt8g5IOx)Jrx0wAHEN$r~a{%LP(`q$v@LoGPIJ!
z&K&Rd1}m6a(G@DNR$f<8b}DQ$w79H9x{rh&wo~F)^$=tn$~Xaj*5p&sslbsXWhyw;
zdb=7b_K&rOTFk~J5DAVbG$U+KeJ9nc73xnlvLJ51l!fx8W-sk-=m>yDOWHe@CcL{{
zJh8D0D1JbX(c5M>cg>fQ<_kmq4$1t|C)Z7c194#zSB>+t3|t3)I2}0;R6g~iZC)*q
zz`eDc>e-m~jL+%q3h*{kFCPXXlx*|&PDYqL#ox0f{7GE7XytPiD|F;RD7Dofi*xb<
zv6pgpyfuh%2}b=%3cxO;4U65-2Qr3e4w^=v)3k9}Tc60-y}<ips5|Wa?H|9`s}i2g
z&@ZxhQs|P%Fsv-f+WP`z1wdHGy#OTcu8=+S0zS`IK~hK3A%K{aE-qAuVi;vbE>w=T
zofZBDac-!(M+&AJi;NJXd@6?S-$Dwu=KN2tGAHP`ZO=PCI5>2bYI}W9zXBoO#ndt1
zYp5Y6?%Cdr`7;Idz{;22sN$KgLR`Ee3ZC6&PqrR!)%!G?N;KBDysKWkGRgzq8%GHM
zIVj0tWu?(bktC?swG|scCf?1uG`OtYppke$6GERK&j^!}cY8*>-~U<>0>Fjh?5^~)
z`_Gz1LFo{&4BCm9A6^ptUR%kV!gWXpr-_-wGsnZG?DncHTGzJbzSm`VRi97PU>Jdz
zrbOIxe7CT}^0)++jmL~*7Dq{CuBlBWrs@9wO=q6(2bP9GbqQ-EOt>$qm;6-iK21+J
z9oYXk+agd0x<(5B+1=rpS)m<?UqKKa(WY-?SYBW_<NJCH45~fdHP*WP0opDSEJ2T}
zT04*+c58iMK4$RXQx2=Z`pGnXkHID7R=IU50}Su(3}F@13Q!?{j_yVIf7xWR-!SoT
z^-p);xRgAL18!uwkSezZe{Wb|h{ox8XoiO;I3|RSgN~~g);kdu=ry#>Gm4B`SU)l{
z0Fu|g42U>A^`>R@&wVI)Z;kBkHcz2cOzr;Ntpf4qYU^O9-@z}v#2-FtCk?0REwod!
z)mNn3&s${xd>_C8x7XoCI|;|If|vKd`g%mI2|4wv>zp^m%+Y=I7mt)^(Ydv2j(Hmo
zhibE8Rd}oBOY82_kNqE>uEMRU_w9?QDBTDs9nwe&2uMo{2#CM{Dd}dTm6Q}DCf%LV
zupuQ~(z(It9^LUC{Qj=@A2=7|oacV-`%|}fJ<yQ}AqfeQErn5RsK~$!i^gDaT@G~0
zkb3#HSMSqZFiy4U&p044bVI~xCVqsv=b&W!!eEl7m=$OiGv677YJOB+7^XY;fnm_C
zH&a=DcGY!O@|971c49@<88N3n0`jThT;r>G$cz|LipJq*cM#t!2RvA@mo?_J%X}}<
zT$nKKl=Qn%gsA+E-C%_)M1l#FAlLQ=8M(<54XU$8SF@|b&_uTpCd&S`$V>~6W=)Tf
zP7l{&nC!5#uhMa9R&B4Z%;ZS0+Xl%~$k&}R%xY%+M;;gp_CKyW&+%}E+g2%jksd`~
z$iPmc^$u--#^o&p&^uLbn?G{wX<HtS`c3Oo<lE|%Lh+{QB{9aW2I%^4)jl{Nf$UX8
za*y%^(hA^bS22cSI^@WgaYyBaj{@!NQ_VdjJO63(?-W`H64b+?7`u0SvgGmUzK3#7
z0Ea>ScL)50M@0L(A;NTtA<1h!ag=ry@Yh{u-={hB6&hJTn032dbF*lfRjy6D75!kT
zU&pI6qvKSwEh<9YpBx?T%h8<XYIKi+%UJ^uZ==Jg)#oKxn;~dP$G6}UOo&%1>G7cN
zSkq<BSN{&pR9%b*qi-#Dw)1_=3{phfyk10~7TCdC+{Lx}>-yf6j~BCscWqk!;=5ti
z^Nff)wQ)-5$mR#GAzrgj4<7Rrt_p;BgmGEFSEoc?t4qmuGQO+_UqirXwt*N;GeFsK
zuZ<c+jqag?kF|?Qliv<rb10=u?A3Op&t5fAiI*f%o>wids(*Ui`u4q<Ho;h6(=FiN
z1C()`3Un7g=?#^fd+?x?C;a8y4X6Ws&z`<>^*l8hh1RW+2e}KC46&q)S$#?-YIeS(
zvN#PqOBTDfvm1%c63t@W{deC+LHGM94-TN0BL?N2AE!z+*{ZrzC9uro%`y#`KXEpx
zmToa<vZdxBVPcmBkiZ|uXy(aqF?Rj@kH9c-rNEzEhI=+>|5KzEhHrTitA{Dmh_hTQ
zQj4>EdOedS4iBfE0D>5SU&-5sQ)+765Oi`71_;~zODRN$9Om(~PbQ4mn%$&W;BUBq
zFGOl^v~A5)HLrthRm8vA@~qxI|9pGAg5+cSa5$0?d51#-qpu<zpnP!4FT4fD3=I$U
z_FbX@u}YV<?b<@m?ad>Fhd|W;Y{H6~7VaBjzE=#RJ6Nr_$J`EjdO1J)u%O&LtW={k
zNCqfFbGI`wsa`X=xe*tPhG!|pCLU1ODJe#kG=2JHF?HU<d#QN48~f<#E>`<CR`y{w
z(N7*~gt7?F_H9A(c?KRmYCI@nPu^JPa2QMQa;x00HLbSsMwXay<)xxNP4q}-R&u)>
zq(||JXh7iCbSWFU6cF34@AiHA*?%eb>K|bT*r`JBJx(>C>bQW(%PFm`&Ogb-OF}Yo
z><^Tr^tL#Ipf2$;>rde_L~{&qbzQG=Z^!<-5$3bx{tz+QH`^p5>{?U6jTN!sYr0F3
z54p^Huv^XL-2Gqk>m?-?5WY2nR!21RdF2`0;<}$a)L63HO?f&T0lfDZpeE=r!LgWt
zq_k!Oep_rmkrnuIu8a1h<u2Q1L8GQS7pQeDD|sdHr87|=1G#x;U&|)7K2w<XK?hfE
z>FD!8vL%4_4(0_!cbGQ@m{=ZGN{7#w;d^9XGgb$h)VJ|U?`Ud*?k|C-I0Qs?_hXkZ
zX38AVGYG1!u;9VXaom})T*L3NfW7AJ`7howT}P=TdOMFji=yWY%uNC<iJ}p2xCdiM
z6F>t0X`ldzjro$pD?KGMu&#Y<D5b&B{dhMU;<dA|{E(pB5MiekLt9tnQMhakECZ!V
z)Oc7%4{lzud@pRgWd1Q21vrYy<jFbo2ZyIompf#kVVw4jff1*c9Rshd<Wmd?ImkMD
z`RvF0K<d?^lPVF1(ri~|Nne>PWsD7YFn<e_O+Te-^LhZtqh%rAMGF#1|K8gSf~K*(
z$g{UAVG@^50xZr7%6wE^AU%VzmMw&(ws=Gvw%cF0z`&yes)Vmn{BUYUqPXKR-~4wp
zaeMNQm+`pkS&0wsy33JHYVv<o<u0}W7)^V3tLg>-3O6U`L@ZcuA0hYsk;!8RfMM03
zZ!GBs^jiO40*Z6FKHH3Xy@1`u(2F`uc8SZ|xT!Z$IrJ8i#KLNs%umc4zRiJ{Uw9m>
zR;n3ZUJ8yL2t};prTnehaXsJ0CC8etYzXjZbwB&pUk1&{nXHup9^1DNsIaOswS3k+
z6tf@yo=$p<YRAd~4;cPyc1#<opM0_BUZVN5xH}>iV<$2e=jq`}4j~H%L^xdu`2C3q
z@@s7Ucu(D$)vQ2R@V?Ho3#<bG$L<UiX0nP!p*3zZ&byZZHTBQ0-|XE=X8W69*c$y4
zD{RHO^F<zv9$GXUD7n5siX8t}g?k6r{Qw-uu79h>I?XQ^Wm!hsjuaaKE}2%%z`)bD
zVm&6dbm{Ng#EhxoH;XqSPD$&D3>7Y5R-OvOq;ZwnWpk*Zj|9)LEyy}0E}e-as+ro=
zLFD)5y=~vrjnkbr1)cSG`Q|f<#v;Z?RxaV~;@93sa-PR_REQKey_j=_jmY`%s_d03
zNa70}_N$s##q!7Rt9bGC28u7vwFlcT2PMBkQHUiKh|GJ@??A*|3pW?cQH@9C7h32T
zAkuyjw=lm9vI6Sduf@+#Xi-7dYEQ~do`jY7D!SBMbut$&WCg0<bmu!H`}ZyWrgM-b
z0g#H|&O0YMSU?5v@Bn+(c?%LtwiJ?liSwf?9}m6r@q5e@Tc3Lbpl=T5!o*~HiGm(E
zQzq%p?s|qx@`!0fEzpUIxj=dh<9(g3&iBGoX0FVF=oAxs?o*e?8FK8DJgsnz#Z0Ix
zDS0HN`)u{((Yc?Gj`K(N{MG5|NA8W+dMY0pfTokZjm#Yx7I>P$Hn7E#FobJUnPChD
zn2J~E9|XklJ<9f<(T|>CZsBb$U!pdV3T-p5HBU{Kv);J6lxTL#pH@0Gg=$Lal%92*
zDF=Ajny5CzpYTGxy`2!m3k_nUkjazRArzGv>VznB8U`jfYw%vB2;8=;jB9GP?;ycy
znNKfZ97<!gC*5`2aaIh(PC&801{?g?=kA60#m|>$i_@liD5nBRxptS%z}JO{O@9%g
zy876PlM&z=`(DF`v4{1Xl$_L6o3)>3)WHZrkKDbUv&(zIwgc7<H2sKOXh6kYVG^r$
z=e;SHsvdypU>qv;+1|mpK<mpba90@40(vo(iJit;7*9CyavPI5%eiRf+tNk~jwPe$
z!>pC72Tvq#&4110eBwPt6#1TH?}|svkJDtl+l}3$0d2|^Jh=lP8S$)Hw8xFy>2oRN
znd<YEMQH&N7tmZi4gCUu+x_*Y71FP39Du_w1oHDp9cwrOJi-7u7EXMVdmj|?oB!vI
z?~^<6%@Y(Lpt^Hs`25pMXb(heC+|tu)DR@Nic7Gn^%ZbjrH>n!(_X+1xJAyK74aLY
zd<%+B0pb;)z{W8C>?SAFmh9T)&#sN}s7cTi3_-fZ8ItLSBAV0By{yy}6;?7D!h?j`
z@g{{bOoV;L5>mTr?EI6<?RFFO>-8>e-L9cD%>ye!RXy+{i9zS}Tf#e;#PckG`T+hq
zfn3U#GCN<q46bhUc+fj@C1;9>p60gITk_4i<5AFLqnp!!wWF#~RC9k3*V`Y5OJNTP
zmpJn^vAcyd=og;-=998eMIQdj3!Rpt8dhm`692Zh%a}!Z2Ql%w<@?3$U6jI>x3-_H
zrPgBhGh6<xA{Q`)ZNG&n47o)#B>@HfBGZ!1eDYJy#>*h@&q~T8XhHHO?^#=S8&%E^
z#CMNz1jhqC2&C=u-SswLp7!?r7+#w_`KUgD22PD)4v8^sOnn1^*%bja7(kq!E2dx{
zCNDG0q`Fs#`A}^h?{M@lXapEl8slWQZ$D*u74P>m4k{lRLp%E)WJ?@Bz0AO*$OixD
z%h>RO<Ky7>1WUqPoq2DO=}&G}^QBZ4k}p}yxdTb?r0tf(5rMik`Qr(vuXuDin*rMy
z_cGK~0{4AqK!oHgh#fN@XKZB|eYnKoy$ZusRJ>WVbH-_lBNFq0AX+Dn5#u23EMt|#
zYDs(mpzovxa`=k2Wx}EqfUi18Fv#Ftu*;s;!^Y7OKM6^3r4;h)1!i_xYZqam9zg7d
z?MC?WbFuzYuQ7d`X$3jnrC<^F(IR{C_v1FJ3Ocph#vRwT`E|N;kxzZn$Ol{Ume1M~
z8-9tU=uTQ%(*5l5OSW*bGu^*y8o%lMYZ?Ks5py#a*lM&hauH9|xJMx%&L<&Ab?Yja
z*^&1U#a)sJo#d1?Gx?YV5kHon(^TRn_(YZ{JJ!<|(f|o7xeGlZYj8d*zEIP47@xW#
z6rraWR#{3qm4aYy3knqc!=?OAa+^IV=S*rJx`5D8wyrE0(_*TKdgJbuwv;9+Q9?qA
z`(lP4`@%qWTRgjvv%YJUdnADIwve~smDb3Gad#HBIfZDq*_}Sy;SUkA&LtaAOnloz
z+P(*rC1vmDcB+c+ZO?$O8s<sPaZIktv^q+D*D&(<5eI|-i2<ohB+{^ZRQDb8X`k&K
z$NLA%_%zX$b=86oet%Hn7bBade2b}%tc_6)=eD!-JT8?D`r_^OgD>_f0mKHA_f-Sz
zrcZ+w)`(*&o4h~ynk7W8APVC>nc(wrqh7Bcm-q0SgRvHq+;YaO6S_7?w5;~#f5%Po
zA*{bfn{kmUd>1kR{8_lslI`mwiR77swJO!1=mQ=AvQ&H+Dwmj}v^jU%ZwVw+yg!CM
z54h`%hlxNnre`PNS%A3G$>rg+dH~<pJjY*xkhE)M+`@z9;0sGRmY+EV9PHa%ba!Vs
z$iQ*y&j)L|$?n@fCF9M(ve_+FZ$S1fW%D7h6<*E=VB*l|Dx=egi3el@@4`lau%T1o
zrxfzQ1+v|byYa{e=Wbk8s{}L_L};29=^o9WqQRlcA6Kg@EI=RX`pXkTw?THrd0fp6
z0#bvP(Wf~4JUEUCq1}CBA$7DzI^T!zc+O;!d)$57`Red38E;$8-InGWV@gDh;1+>?
zZiGaudu2v@&I5bC1CE^gyR6UJysq|khgAr!M!v~*p@Be-fuspQGPi_1n#D|6B6STu
zKTc|0`>N=#QeCC$@eAu?*K$?GJiob{4F5E74lP<4YigH(1c~XE#+W%20TCwNv;PL`
z%BMtEu6IkotiN>2lgnJ|2u_b~Jyl_E@MV!yoj#9#KELyRSOhKulM`sCtp5r}2#qfd
z=K<~J@Hydbj3JbO2xObJtMm5aQTjlc-Rx9EV@cD6C8a?K(+fF8K2-bx^)EhN<xV9)
zNqSRbIied|ZiO2C;fxzjwgl6D5u_%R2p*TMt)h*P<uptTdQBUB2y}*NwHk1DQLo9>
z3B88OSI3{W1qnf+U#=#fb0~&jucryXYTi9-SAd{4*n~;-4vEKp7yS+n=aX`!Prtfl
zUMrN{S_Fi_!+?rHcsuZv15WMU<|QkHj8%Y~VtEj#-L)6aHB;v@P6J=xTk6PQr3ApK
zdd}ejdiv(+TB@K*tH&x4=apF{&IO0b9D|{wca%s@Km62S_o6($b}rQfeg969$<CQI
zRKMFlg!dY)q#R&6ZD~mWYxK4_5#Zc0oyFo3?|2^npE4Uz=oGR6ez5{>^hP)T($!O!
z89w+Hc2WfJ<=%Zmq5p1^;GjL{3v9GztyrC!86dO2Pi$B>rGqP;7j?O#t*cZPP^{ad
z=Lv>49rQy)KKKCjOZ)hB+Rx|ysAlTU4%O?cMw$wAFq!dgo=J~oqCUU3`2zFp6US{g
zyy~SjL*ai~q{_!UOt1B!`Q7fGR$1<6K=v=<v*O2yII!ZQ#_0mc%NesgEuX?$@W^tS
zKts1BN}bP%m*V4`{Nw{u*jTJs=s#c^fGAo6b<Hhtrtqg8rK|pq^8dDaWEtz=X=lCK
zzjG^rG=E<QP5mQTrhAZg1(1*B%yq<Z{<A~oocTDOkGEC{tMLsaE;no2tDfjOE$d$N
z{B;45y{;d$P&8nJodCCT39fUpDKmVm$m=^+dh~oJr6!xi=1%cNqIRrH5CcN}(ZLV>
za_Kbw5?wB!BaYo`J5)nj2?b78-f!PE=OTDJ%oLVjw){H&O~;Y76#~~%i9gQt;ws+b
zNv|uacmz<C$qG;$;DDf1S5;sWSP8<RF!G!AC1d=*vTG^}In{toM+6ut*~_lv=@h0_
z9!0#-vxGnc;3ra=Q9KmwBs$AyW)15bdpLd_SN10l{}qC=XJS=Wwbuu0OtD-I)BCnF
zRyse(zU|bSwu~6gX?WyviUIi#+`VDYm|0qllUV=NUlt+COIfdex?ni?y(H<X;eUp8
z*UPdR{hLJ?zwKS%!Eq}t=u1p|+uN>cee!lMcgA(Y96I~>P2;bg2GL1zn=R4YK~}tV
zy0Q~&<H8)CwCc^YxwezM&1FV2yp;`2DX~xn<4RhVhq0Iw{a+L&RjShO{itk4Ary`P
zh)G;8kiy_~YyugV&0~IO+02ArbJfKf1IAG?&iTtAM+E4vrjW6&9tO5nLtY8DUB*MZ
zytmMlFe1>w0ha#g|L9S?z`9AH7OFmjx@jRuUBejw4zFBJmk=RrEJxk6jmNGfmhs@T
zrdTgHw;&K9;gz~Y>YUy+L3T`4%ylMP+MRe{6K8^(N8k2zZDoUovVN4k&upr^Ip2f0
z&;<>5y;WMWx}{|}FspiJ(&=<UYqX;VaDR!O?J~YkpC+(47}?iAUzsg%HWjmUnV1RE
zYW*81ABS&Xi}zrs+7plvR{KfTdnn33DNivP*Cogu5U<gqC3piNxbMN`J81JUiI-D#
z<#o)<Hs$xzhBDY$_=FX~GZ1waAU1YioEb<@cRPPThzyWH`jCKvoo<cnt>a#m`W}%{
zN4-(nQPao^gq9j@i4KKn4U*->{*c`q`_rERl_(-TA^*puOY`))KbOLWlhHNzPi?(R
zhAE5omM2)Swv&`*{b6w2wwMgnXGyk8+jt%UvvcxW{p+|#(co`;C$<U_#RJq<fX7}W
zkYWy&u44A<C=~Oz%T}jHr-yK9i{E6VGIi%^a-O}GuHt3;e6RhVo`=7bOd{?xkdTlu
zR5J4<F0Lf9#n*9MTIX4WP)tOSQUao_4gV~&q;cC1A4X%3w^<p_-M{qFMjE_3yol*v
z{-<~B78{utW_U@$oy^*;2~~B4q>mT-@gqF*H9QKxfTh^$=~j$>?DNqeN-4d|44+jE
zf7j|R9{0+Nu*Zw($rj{R=W}q#Xu8u;pxIdACbkqI;d{Pc!KpGOJ^dr`J+)nBG!=N)
z8cv5Qz8^s@dVul8MhkH509rctDdF)QOBe<L8ljtO>7sS>0;X#1)Bc&UK@{6Sk=x<9
zN0p~}a_t|<Swnq%ik%RMF~L+w&ycBAS33u@h+?m8uSbw>uLCoJqJpi-Ni#D;sM#vZ
zJov&rGop;@gZ*KY4t~;zcds2>;q*`3G>$%_aF}j(ZLuly21PDqe`j&!@u)ZMi#%IW
zhx*6miK|u>U1ciVhAJjAK<1U)ll1q8YKFpW-#$_VzTH|EY{?`61;R7w;hBZq`G4+s
zGTohLbF_dqPhM2jXYFtl5RrjYYKyiVG2YY~p$u#Dvzos?llLVg4(C(!_&DPq61PqW
z>Wd*)z3WEgGTxFoo==Syxvws}jlP8S>09)gQBIX!WeZSW6!&h+%1xNdS>QK7DZK!L
z^OR-JbHeE#$#m{G@~7LcJ*X@8Jtf<plSpU<0u>}*_P+`ec$axtX?SL)XHYd*uD2?Y
z$QEK=<*9nOb#boRzWu1n8)MM7Qe_}g=V&ZX2l2^P7?eiIO2XW|5r<^Zh>(7xl^Rqy
zE=+qQp5`ko&}@>JA37k*n*tua@a1}uo45!FZfPTNZ0_nn+KV<Dz$t*&WhOq_?{0RO
zuk_I%8d+kLRzT@_u@*oL#Xc($dB)ZA;xn6<`1t)3=5?mn(qQk2g{0*O<*|{z1NwiE
zw~eI813NP&I6aU`y{Spf!>f0|Wj33$@r^h?Z9uuyYj(_m`raoS)9F4;7$K5d$qh`L
z{5*j2`yn8D@=L%(0ns=ShHrvxTeRrhamyBKOT@}hcClSRG+djU^3qgsL<o5OT@mMj
z!VM_yP+!p<5Of2s;l99T#8Baem&CR2AB>dAx9pEg!J?HG?H(@+MEK~-<5zjB+}am#
zEEbqAYF>q}@as>tc#00v83ayl-j+CdIA2}=k+T9ojeD=*BM};16~m>&UIHnx;6(mI
znol(Vsa6DNa)A0lh<yANj>5LqnGQ*hf-^jf8JqB3d(7O>j#*uCA;KdoQ2flgvS}P5
z3AmZ+Dyg3+4I`j(Wp;hN38^|S|C3*C$||+=*2YULn?CUz>l${*)#zu|Q&dWd`4E@L
zNnt)tE}#w<@W=y>hkM=1>AC+c1&zlw?rY%+lC%Ik=_WJkD_QP;w^i+bEe8%-6K6;G
zF;Aaj-YCR`j;F=I0v;5UDB{s@oR?TK{mIpST}oXQpw$3tQi{qSmXjZSKbR7E)wsWD
zS;Sl~BZX>+@27OF1-DSZEevKV+9rJjhOi!U4p^s|rrZJ6Oz<c&JEo&t8FdKda!r-f
zSCF;X;_9a6!B&!hSN?ID;!OEO;f}SHatBW@XQu~`5`S5O5eM4m>I6aPvfZYbz|!AG
zvfaP12~@!!_%7e5`%nyUlWiJC6r%2{@E34m<TnfhbFk`rU(v!ov(id}mwxtNfXH~V
z_Ez4y$vh>GI50QQ@n(R2D7FS*ZB2F={<v{e!07jCZi(OPdLWvIRi!njXk{p&W5|}f
z!evb4g&j8w^qJ$s`>Mn@^V)T$%!HfNtYn>v^o<SkBbWB$ys-NKTU7dt_81G$sRqLH
z!}coIGNukSJb1!@*(73b_4m7}D-y!{Ri5qUOEqWv+|%ysp4>eU&Mc8UUYX_``iHtW
zRb&}__je4_L<@zG(W*=0fH#EC4xXR5S7af7q5z@pOj4A(@@pu}(HZ%>N+eVZT6s5m
zA)x}sKbZ;f1#&={e~zg-Q(T#?H+b1tUVWN^z4=dm@pIqZs&5nN4n$8}FD@^Ay@&{@
z+elR==OXtn3HEj_Hg{2t@k)u`NmaN@O59#@#F3|Wpi4|dQ2q*Wz*Gkk5v2y`>$QL!
z&lm5f{-I!iJAo%$H4VWV(B(b=e<N6DVax>GpO@o3tR!l*sJs>Tfj-AHb)UR<{Nua&
zAU+WIlB=QX5b?|wzMMc#S8mV(Z~7IcQmI<rs6VaCFCnZl$a~o%&}@-N@XBK{iv533
z2Qett68lr)MuCL#JEIxg*1lLX9JO5Y$br&;b~xati?cV`Uiqx0BZJZZtba{`;^3B1
zamXhVa&r<toXgLR$sz=4#kVy?CWoA2?d<~YyFk~U>TgW{;V2GaltKRcyZGZZg_sa%
zNx2SEBpK?v)KEEJw3~n4k5J=I_W*a#n$q4o<$gY+OdiTS4bUh+_bD6nd8{xCf%!;#
zheKas7j^9T9o8Prb{o4{+mekg$^2DyTa|iM4PZ*Q#miJ%#jNZP{9f0mz2gjnJ^|i0
zbonZ-H(8a0i+plyGIXE|$Wo<S7MCU{hlU#om3{VYNCz$qhHnXG0#VJ&NPiEky?feE
zpOg;^V&Di9A^~lB&Ih9x%P~N3kwJT90yDpj6`6(F9Wh@<9zt^fct!pYgEZ~PO5-&a
z1$^yH(qqXCM3;~lzYPc5w;r_3mTZLqHM38d8Qi+O3ig&?S<S-@{Ol`!cla5UxYHAD
z-Ed65d)kZ^JFo(hW*;SggR?5>pN7zRf%D$gL>6JO7DubZFQkm_=qhvibn~GJ?#pdL
z6ViH-ncy|UW?daZG@u9@W7GHthwRA-B>O+%sTy!z0{8f9B0MgfeMc)6Fz30yMFOGz
z<U+VO1_o83Uf~}-O{56Yyd@2gm#=Cz0bkRDG7#0Iifoz56a(l{zi=)9hzzw4H)Nhl
z$w21)1ZaSEZVUocl6_{lMcu^mu=G^r8ZDPOflnVEdh>d~8V8p)<r7u}oVsydFV!H<
zO@kpLz?1(+xUAfBZ2*4OOJL#hQnvzt0)xihyNl{Zy=_*K{}~;;UwzC*i{KsF4%%>Q
zfHYd`fEQ)TSLQ=KAzl_^5%;kaUiyu;<6!BJ8{)rd(r91<B5Hsft(<S)0VG{(v-gqY
zxyP0UsHBp0d_!hqf$Gsx1!60E!>k%j^!X>&4O6A%NkFF7WSW*ybOB+sattsoKrh<>
zRVX0){!kdbe!93_IjFF7m<>pB03gv*+dPxp7IAo61*WlAHQTwo#q@)Pp*fmhatK4r
zLQ)t9hUSJQ=ZmR_8lE_+N^j9m<P`JQmCkQ4nh#TA|Ew34GcaMKZ8erRu*4?5{F1oV
zf8OsS8Emh4Il_G3Vks4r#8mSm*!T@zBtI(G7D&+E+$E=jYeHUZ&BRhQsarY@N$VZi
z{8oY7TDGPFH`ZrhhpII2wY>x)v~a9h<a8!RQ(RNqVTKahRN1M31x_dC<1<xA$aeOC
zjGZKu!tBk`J;(wjTsL{ok(6}6&T`K3>z!cmxas1a3Rv3Ck&#EQOryS)+jTOsQH}xp
zQf+BVw=Nice@grD!HT2lk5baOIWn*c_?5Q{@&&E^oS(`+oRzcVc`XAnk^^-OB=J^Z
zXU?KY=}bSoEP-1VfQy_mYBDz1ry#9LBn)s$C3ZO?S9CniE8+6Fr?$W^HbC+!^utxk
zv!#<|3I`pyhDo1JNLpTA2a+-(Rqw%*3He8yLO&yeIIFFA&W)q5-|C<K{^{kup`qOv
z2jyHzkCTET5AEU!^3#2j$Tl#4kvEZVQcawHz<T4%UfOz%{??5^Ap(C|M(xiXNVUQw
z`Mv^}O6&ganpRSw0|jpx=38z(da=2up94T&$sW=gG|h8P_=3A%4m(iqfFo|3D_y#J
zu~EaEa=#E_TLG*+l5fWA2|nKn{;uIC?6=U(Gh7n%5w2SC?(}dmZ);8}Gk;6BO+j_s
zd$yv!DPO{v1L69DTb4oNd0ggazz`q`p}_u?CbVZxrlXt?ZsXY9$_#&k>)}=%B>uj=
zGsf%hoDNHO(Q>K{{PPKQo8?3YqTOcyGv`>3GCTTQh>h)UPdxm6VTIFr6f&P5R^yq}
ze--p?Rs3@}p+a|fDde=LojRGS$)?S#njZc1R)?~%R2#v?Sf-&9-mVPsRC>rZK$zsT
zVuA=gXq(^US?vj5Ngd~<z>pjDe+0xe2Z?^bwiV3~RQZhPT#R9)a2X;W&_q_3*^lBk
zxT<&hVWLaj=e;k_+6kxPrAYbp*gpT3eGa2Cs^3>N#*(Iie{T4P=bv)y!pWYXO_<>v
zw;zmdO+ByG)c^Q)u7Fn)g=1A^>TawXqjMJ&IGbEklS^|b2M@Ara|<%g53+UDk2(0i
zs8TLR9-K%g9qI2Z2B-ZFgsiRL@yoS5I!Vl)=C<MZH?m+b!-or?oX2T;RNW<s?vcU-
z)oH(-Uh4I##yXC&pErzm7;m_#er);@Fd#sbv~9Z=Oka*w@;k<3!J%UR4r2k#B@09#
zi-qSkAy@E@or9&t`x?pHUQYn<FBl)Lvj9J3NxxxQea5l$SMiAk<mtxS4{clX?rrd1
zwQeps$;|fE$!c{85naDDT#@cQMqNGE#@$b4nm_56@_NrVMx^m0?S;-UW<)V(Is^j(
z5{84cuNNB!8#1fPt+s6%3&NgknJEW81R5l-Hf8(}AsE%oPP3lrg)3Y6qDQI-;lasA
zdMw7lz{%yHu3vAbndA4rH!7R7aX^ZE%Z@+e+6$hm*Z5^p{x{r5{)&Wx^A}}3G8g4W
z9SiokQvwr=_x46uOWp^R^%z<6{Ag6PR;`7vZ_M%2c3`BPk{?;#@h+_+3hJw03@6(R
z8eKccH%LjasTiOac370z?t^Y|NRA;*N0%bwG?F|~2g3$&XZ7aSOXiu^gx$7ag=1K#
zea@Xe<HeXT`@grH$pkNFET9lQOiH*N4oE*u{mM<hrq^^;<h185b-3~@h)!!z85&+m
z)-l`(deaoPI5Kg-s`b26*rgBM4@8;X8>C(t_qiUdznW-yYhP^&Z89+6H<slmM%I%c
zX>%HF+e8-E1kcyFkRlc9o~xxGpUJsC8+B{VoH^1b52W)H>zVCFuwvC!k<sbh%gOwg
z#-Avo+=i0GdF4v*R>c2%=U@kmP?8W};97mTUMDtVN+qEI+H>(}jm$hjGsEdI%Ux1R
z2oZ^pD-t`FpV@>feGgG4IROk~XWuO(#eU<-iG~ml^|#vD826FR`A7Fl_^9_7zKk3Q
zJX*cl%;LwR;LDxErIgfWKg%u3`F)Fj&LA^A^S5E58mGG8<&Uj7UfC4*J->F2LG6LI
zB%$Cy@X*C`CO(uP*1FQYUZtdGH=>2k5`|#H8T$+F_wtZHwhAnD&FiNq?J6a^BP+h#
zy(c{i;%unnb*~=si4dr`e(tRX0a^;%8mZexz2xj&{{%h8K#WBHEwJH}VSlaD*&uil
z?cp}Pq+OzW|LCM9G6q3YWb}+j3~XQ!%}lb)9yAlLw|f5XHMWw$s*J&uH+HNxB$x>2
zy3({$7H7-qy}>cT%baC<kp@%$?d;8wl%lM*1P<X4dmCNQOY&!Kaj6f_s(LoN2XM6J
z{674<4M;mu>j2a$E)cxYggW-Z+&aYZ@w)vLc+=rm(&vCjKXW;8c0s#UoU6-)dFor<
z6vxGL5sl<rssc4_V1q2k=!}OA_m?)*VCfg`g<cdA)LXO4hK-rLmKTYXYvzc+m$`T8
zb<A+0B5GByNSYRy&OCe^liV<sfW?cIf<^zr;nrhGsWOK*agb|G7y90<PNjiG<{IPL
zF=JX>-R!_RLIN*OfcEhy;hk~=_SOnN*+W}cf%Z8C#WS8YSLzV=9h5mwvH~rjnTWQ*
zDIDu4UF@z7u<T1J_?{G!RzP4c;-eqc{SDe_%6A)wnU(C7bU+HX&85?230z-Y<(MY+
zZ8V5uU$cCR-Iu2Q{llZ3tw)#aUkp24tR$+4D$t@CAl-LewPF*;QEpspFu*tPWGW0S
zY0be57ftrNX;?K6Q+d4nzEc_ccoi`!q)B^it!$j;0XYrZ+a*4@kQw@P{Ml=YUzhL&
z*Ge!k|D1J`QTs&mM?V5glpHl$3iwG?`!}yps)XH_2(memM5a}yc#2w8@$B~$ROrgA
z{=MA-pOk{UQ~YVJ=GFTR#o}7JiwI{HW8^=C^ta-y8anSfKo=_ivfZ!~zk#gsVqPCA
ztm1P)qi5;!+aRu(vqyt;?LAql)r(S(=@Kt~>M7S~%pUQ#(f-EdeYgPfKxOh<0y`>O
z<Ibg=`EEX|z8#SAI5EL9In9fNjapzZ7C5c!6Lhbn&Ov#-@RuGS0W#4W(8#wRSqvOm
zw2zddHQa@-LApt~gnaPiOj2okpy@5-3<fos!BUL&OY&@Pg2XfMq-N_L0Rrf^Wgh2C
zC$N}5t1>bWwm_gSs(y@Sbs4M}7PGuxAx7bji?PYP<=K2OJ$G3AJ>H7=CrGVqIVOI@
zy+g|l>w_nP_qzCafO?LqO27DUSMigXv<e?96-qVQYWYE;xO^M+Wt;{1*y~T!u%iN&
zLU{D($H54>`PmR*X~?Brc4b;}SMRI*&B3)7vgY68qt)bDX`iBwS&%ZTtz2R*%B>;Z
z>b0-@d11R5)sq;Q(hG2%Td&IlvA*nmEchyi2lnTeDXcs<O{?CZ_!nCET%Mz5(rQcb
zmi*6!ngOwT^%gf**T;mZ?GLwq6QLG@XfD)sBVfQ$+LV}q1bhrvkdgNpzpm3_x__|t
zHumtmuD6GrdZ`&>eFPQ)0fVEV+Gbe_<)RBB9Bjf3KW-J4n6t5HO871WKF%<sifMoY
za482leRj~<-+7r!6)80UwD8}7B|}mw#4er#jMb|@B4bN#+VE>%KJrkW$xv={IEE@B
z;v~wMS6CXm7zUAm-fK*1q&8O19#fzEHczC!qrY~qd;MFk(ZqPmF5^_`pTx%S8gb#^
z0iP0j9%bjeQx<n;0<yOH*@Wm23jd_k7{6}_6O+g{cXvr0$8Lq-{ysP0xbsKw_L%bu
zXALcjXi328GyR%O95J&5PpLg^JU^;UCREnK=`xzG`q`xl9LiPVIM#F}N_|AGpC#@6
z7OY5v0|CvhlL+-W*xeOLBiq*Z)V?|bs1^M^%BnI8k3QMCM<VrH?%|sldJc_nH~qza
z*C{sYi0WKGD6R!|U^>N!&c7z=7rOktxb{C;Un?UV*f~4XrC_^c#fNfo`dWEAn4wxD
zM&QtF7ndub3xCjdX@hvEnY5Bx!^<X>E@ByJPZGT+|1cv+1?I}#@dzSJ%57%?L?^^Z
zym#0dcQf+J36yWwmTTZc@hA;D9Ix@`UbzO*8Ma>5$h#_!%m0qgskpyscuhFmUo^Xz
z<YY2Vs0^fysYd^3^b4ejI&MSdWaTQiv@74}3KJlz&esy#q1{w-Ro_+(fs9T1oH4$(
zWOlLyWbrpbkdBL<&s@G`F)`LbXP&9_Gdp<bo4ePp#zp&{+F|<%x=DBFM=#E;%k@xq
zfHq+UQQ5YwPm4$zeGqX9_sYtP2kL8S=kv4ewv*=?k_vZao*91ss8s`f+lu(JDfASg
zP>Oks5FVUJ3!$Ske^Ox>^k!n5_tVCyM%q?3!69#Wnb)Xv`4u@qP#Y?*iJV-N)R2?`
zto;Pybypz@{=A>N6L~`N1e!17_PCp8Z3xi%OTA*4=NP~eu!}8lOfB5F$}me!zp}EP
z$fR;LsBRTQ2CS`qxG}TH`H=Q=xk_{?=`eTGl}ZC0$(5l0XicuRVPrrshVzeHJaG|V
zC+ctfbRi31Mg`OsP0a9#iV$cjD_^YbQ6X1F)-Q-a+*F&g#nQvoEzAe~3l6LwJjpn@
z`Sdh@GH}&j$xhp>^VgdM>#e1kM&CUFI5i<av@=UeX%Q^;x#CKY;^dI{=*jM2yV&wi
zV+gdM-q3gZqG9xS&4sjMXNkZ^jCYN2DlpDsK7sk7=kNj1x$$-@<Y0fQ{RBfas0|`O
z@^0Z&XT2ZR;d%VgN6dX7S+}NXpuw5jW;mIV<Er>vDL4?yO%Y>bl^0jMZBJE+KcgF&
z)5cv&MUlx`9wjeOb-$?&*bf<aR~K&Lb#*ZE$yrBoUu$-cm`PV|3m+w2TZbDd{IR`z
z>v+3*n(oSIWjYy5|D=bi0bo5@7uQ!+g9<Lm1T~STe}Qf*1TIN4mO>|ll%<3JDqnEB
z2CIGZ@Dl<(cQ5ExE@&tV)o7$C93&X$`SB;^_8U&mj&+)J23WmHA=Eo=uThu__2UlU
zE(pkY-f8_jSa=j@7buX8_p9QRG-|WX;-p{f6l{$*fAF-~8@^<84{vRYnu<?nFog69
zh{lR!@ra)UME~<B7-{4r{rT5SlmrT2w0!e|UWNDFuHQDT5pQL|?7d0yel43n=$pAp
zTH7o;SUWa*(18m#Bkb6-Pf&?2Bg|oMHE?OnTkkY3p2__b4gH14bz7omfmajI5hDYC
z`XeRVY_8khR|O5SV&2cQbJw%ycR6T#T?LLR`OuD~*1!_alYCedmdTaz;2k<$n7g`&
z=CiH^CBVPH`~pw0SQ7|DQK=szHeB~Hl4ya4iCNQHGM!p0Ab#-;CU$Z#*8Y;ZEYnQd
zS;9r1=xYbn{psp^<tG5@)gYZu_g<Lhi)}S?>{DYaiWh8DRq<#yESp*v9(fca{vMqj
z%ih1HTqkxlt9I)pM(K4oYRG66h8`?u&D-!S>q5=C&o)NdRM_g)2aoaHpg!8okKJ^X
z#rA?Dny}*bcIzU+lQf`MznkIWd@JW0MM@}VZ0>z|H#U^u8!XUc>xmCQ94i++b@}S|
z;P67SH;_^Ghs&naZ9b69SB>NS{a&s>@ImoE3;rGv$OG&$G9TnWaX^3hf@3}B!S^Wz
z8D9|V`?VybzT&4rwhlQ>31FW05Z>X`@z-I73CA%K-4X-agx-Z1M*Y=F&9tSZ?o+g=
zPY`t6ui!LqDa`DWnkLD#6~1^}Fupxnt1huvdzH#XVZjmR@?we%LDu}!ciYp(?Aqq(
zROIQ<KN)y-F3?2$fjODNWN$yr2kzSopqQy87ZBi1TD!JO^It#L{Z4zXWy|%Z4)ih4
zZ706e0zJZ+9v7unE=N$Jb{1zMopNVi+~Mb{*Y<e^(cC<X0w9~s=4_)xlaO`~WYA4~
z2OeDo5tXw1r~VySwf)B|{7(nYPKI^Wnd<N1u;yI^W+0fv`o<%DZ<k<D$d5@95*`6U
zv=>^+o%W7083cQ}#LJBgcG7QEAZ4D*r+EZmT^w$DyV!EiECg|W4ge?AUf>0(NWZDJ
zjB3igHJCAD=x1krjEtOoa6m9f-SzTdpKcMMF=@8AfRO5%s*n-<91suRJnUkJOs2mF
z{^JU^uvVDyQq6a~zg14VZ=;NO`it3sPw8~M(ObXvg_tJ82@1ghj0QZ_VO1+v&w^eU
zabMIFEl(zW;#=;{b85}ER??S8+a%;uw5fqElPsJD*0Fy+w;{g_u`Z~?yb_GQSi#<;
z?-zMobKu30YAOZzbq{V}wemu{Wf4hNGh6D#d^v6J3!|?FZ+$bqtimsK?7+G%r8JP4
z-sN#7-GjFt;%rOlaeJO_h>}`gvJD#PHfm*RG%%@4-q20l5Fz&+iYH@;{T@H&34mvE
zH{KE#A1oWzW;v@E_!y)zaTj<y1x(C2SuZ`$)uYU=W<~!g@PRL=orhNX!;^^lrtH`4
z_I_hU-E%Y<jj+8d51;bhmFv$)3eQL?2arDP5mdN9RzeuuZAj*7FN6n_9aIs)zZZ3!
zqNJla*4Ee_c#Pi%9j**E;D;FDxI$)$8tDBG(XSTXi%rS>D>g4R|J^|knBcUOkki;b
zd0e;=E4+`|V!iru5ME#A1$a~#Qr&hF70T1nnziJEKO{P1eDKU|dlvLf8U(5}cq{bd
zILm7>q?~3$*CJs;m0lU0Wa5FSf4r-^058|YQ?_YwfleNCn9&|gJc_Y$;xfVe=Rw<*
zw@`;jPn8P6Y8Y2F6cxl9gcYF&KR7%#h@}*h;dYyBg5<4f759yyCH*nw)Q9(N;MUpT
zgzkkjbN>Ei!=_vQCqUfZlEl{(x<KJhdpdxa>$ah$bd3=Ixurx*@r;6EE`94$hC2n(
zK*c9aO!ODSc-K^yk`i9Sk8g{1#{97@q>=i1_4_FD!xJ@FXR(*Qv)OBljRDQaLqdiF
zKUzo4m%%@{P<^nZu2lBPqy*Bfb%}<-7KKy~$|+{;2#k3~X^3A=_mAv;i~*i;x$Rb_
zO50?}XFOq^DM=u3(VT*c`D`4~NHaq&^;4&Zm4gWW&nAJv0RL6D&+-^`O*|Xv+Y`of
z8+8Ui7;qSn<6r2e3siC<0(2-JK3l8tv1V8!>emZ}vtKX%zyQ3GOib#P`dE7br_gz9
zvC~m@k*(zrpqKp1xKYvv#W^68`vNXLOG!`$pi3&FA^$^g*Y5OJZr+$|28~2i!rc>s
zq&uXY?!@FkoVf0d97J+lf&}Dza~lNyx)<CJN4NCAsxvJ)wm+nLt+p1kJ{*8%asgc?
z+gI);D`)$J2q+_&+1nsWGhUV@ZHZzpiPJHfzrb}2os@POC>O>xo{T&=^bY|KwEVX%
zCM067@}6Y^nbnDvU|K^%eB#7#h@XIgN`iB2E-yu@F0=JhxY+J9VaQqyhz|bfv;<i`
z46%s#Es_oXxW>pc{>7(9c}A0P)$R5nfJ1ls+y{18ak7RqQ=oUTP?6Qs=7;^uxz(_h
z`uc_Usv8-mwk>6!#JtNx>gI*8LuMCn6&L-}Z*DlW@V~iq7JiC-T5+`&t*%opO)O~k
z3QNci|C_z9Yi${mKDSxQ=}~0gd03VT8>QEqaO5FD&hx6F6tj02Aj4Gt&jud^HHwP$
zajAaBPU71eF&4+?q+B~{kJH$<DGON8D#q+<n(>wagX{YfBA5eh@lIJEx5zT;Xf&2=
z?tLL|&3#YTV9`Ba+U0Bcw&WLv#J^=Brtf0@k;)Ejm(1H<MXS=9lyy$^T$+CqLxh*t
z+@k85J$>ORu}rJcN-@Qpl@A14xz=@V_f0iIXA$>+Du5sR0m9dWFZMx(oNCY(CmW>i
z*hgcvA#Lws?U|%DnLZRtvBs`k8Sl^U#$1EoYF`CS$O${ELF_|P@CL6mQif4#!oW@S
z;(Zp|9ggMj>`D2hY1<_wJQ=W8=Lv-9A633Hx9+at-M;i}f1{H}-syl_>zu>`7~7?i
zRDN=Y$Tv+pn*jX=BUv=mEVl@jt3F><VQ=;uA#8Jz>qhd^9av#-@aSmAaE^Dk(ez*Q
z7^(<S_2n{!nH8QEur;NIjG33~Yz-f+dzFi8TD*m@5lh78RF&yY79S2^_T(n^drICj
zY6<~D3}eTub2Dy??)G#6=N*WtdqIMfn(Z#|xw35^&pBwTjPmUDW_@H=gl2)89P4Wj
zRf|g+NrFovVsjVPUOf11_p|WkujA&6e$(wK#8IN(tyeL)YdYJnwaJ6oh`T$UY=vD}
zZJd<ET<JWKm`IOYz|bz;Ted7Ar$}@nlZCq^DN8F!1_B;1HoVp#aJXN)h|q6S?ln4e
zw5d#iDs?&&ql_Y<nNQHZI<ts)!*E?yZ1cmv;s+u?d(oqL(;=joV~`aIzI}}T8VnDe
z2m@R1X8_^w0dU+I`Go8;MNJp=I0}|{Cv=mi&?0VwXNaMz-|SR@j9kLX^T@7_hs_g4
zgBsr;1Cwuej30r965@w3s8#{B8}J#N7^Xe{_6gs<Rhwca!$ISc%Lf^35FIf4*9+Kg
zh1o2YZ3mp;Dbti`C8CCv!tH{cQ8%wC4gK2BmfWg{I=;b6wBJz`^_>VgXodg)uvjEe
z2nRT|I)MWz@|qZhK!3Byx>bc_29=#3i+-DSkgQ%e?}yf|GiTKr#P*7QJg(e0Z5+X6
zHWM6`Z@TYz){6s7bDSO;c`B}rC(_!wOJn}M$2tTJ1Jr;g8u>S%7#!)g@ehW6M}+KV
zs<H}#Kj<qR6fS?_0t(PKJ^IX=N`i+8_ATUADqGIgK8R%w3KG8c<vo9Tu@fwlc6=jJ
zdWyNsoPV($cTAtA9<}n!`59~Ek{o2|m7F(_g=V^)SbO>^^7HRP&o_)oGA{?`2iy}w
zCd(T6_s>{gvML$?2>e>#!=nwbn2n9wx+QN``nctwxlp={?-MPYrOLsJ*AHK-C9qPg
z^akcT81zT)bwe0sI&VvBWry8N-93WGI4_e1QIp&y)QT9+B>`^GvCkij_?gvA5FEhv
z!RX1=$++4+O*6P_D6d>wIRs?6zt#VBC`SM-vV4s!!EG|~L8Zlczdg{<%JolZh2^w$
z2JNvtUXG+hMP483hCDsUiab5ko_#oBNVfB9wh%4Gy~<*^=1Pgxm7<k-p&Y*b%}!<I
zSwKih(v1YD^StRq+9G~^!cjjbikD#_yD;-#d@4Kn%rAwH`<kO=9nE%lwo($`(X@TN
zjSV)d=jSjo5wq9jf%HDL@PZ?d+**ItBsI(GPS9oQX{LaM#bqS6*%!|2ZanFnM094e
z<i8rR_~KuU@FzqLQA0?8)jmyl=k8WmAQBQB>qkK<zm1z8#`1KO*se(#s-MRu35ZCR
zDgl%L=B9Qu8Mom1!P8suN!L=h9MwY$i^N7xD3Xdi%Q^Y3{)r0&LeCusb_w|VNw<px
zcmGybA<G}RZs}~nXKD-cAJ*Nd6))#&V|VkFE4iAU?FMS)9u91Y^8+?yJiEM*7T2<#
zVi|zd0954L`@6c29kl0D)BA8nI2tm+rR=~_6Mh7meW9^6HhQb;zH9bSSeI=X3E!M`
zh6oSXI=90-&gjeiW_LXt4jf`*n39oBf9LNd=hnq;U6rD0t7_JOmeM;n`YLQt0Cc}w
zIk_`W*~5IOD1_689uqwi!rfGsApsyI)M#j~a`|$8FNDyClR_fR$NF%C^CdkTR<WN}
z*!)LyFHdKW7Vi1!WM{D5>n$*j%0q@bFI9z*D<9SznDCdcbGCL_1EHM228U$dg!hA&
zL-T9hohDtfOo<`}i`q>IsHH`JrkAYxy#qzuRKIZLX$Zq6GI>&gV;ldNp^jZ*bN1Ly
z@4o(Dw}+j3vx5?b;Euy2TV@`8wk%@OT7w2b@5$BlfQcqFTQ#D#Ubu(ri})E$T2H7!
zPwSO(Y+|-yQ^Z3rq<+?^EN~-`S~rt{?>t7|NRSRnRu)W9_XRvXuyBStx2ly;m4P|=
z0vy+*PoDSiw;+$^AvzgM4pTogK)9`ZefF+AB|VcgkK@5#PIVf9%!;V;=lRUF^$t7@
z|9Bc4^hj{)I}0k8q$4DKuag+ff{%*qzo>LI{~3C0Lsu{@P7-Ex@;S5s^;vBzeTTX3
zb?Wg({M@n<Qjt<pwM|>XW_$QldeZQevl|Bi=}~SHOY;Fxt~-k3@(GHW-5N>@1TFg*
zsJ16|Vc9VP2=^{H3jc%latj7b>7;Vy1LfLeqp}EgYmI`EXhd~|2kv|VX5OpXQ*bwx
zf`>aNr!jxr4!NhqJn;#S{%d`p`S`NDVQbks&?hjZ8eO`4{n6;k#*poU=L+xMt4Ro|
z#{g<NP)Ycgr-TZKjDF++pkBKiz$vG?kUk`K{%$V4-p+v<DD9tW_WW^11S&`?<fCCr
zA`GG@Y5LnNa3QhT?iCl1boT>Pft7k_|G{-G%zCp_A|ybFDw@w}3Fa~m{(9$HB_4-T
zQDW6=5WHEhucy=N9Y{DlTxM_%?=4b%ys^7bEqT}0si9gPw7|@c$_x`rckD&9w33*4
zdUfNXi;t!+Mv~I<tf0N>vwy$TL3eS%!eW_NdObTW&FSOk%giu^FOgy)=Y#(iT88G;
zA5H`^!(+sOek*-XGe^0wENz=Wqu+Q{P{9k5?X<V$_=O)adVhb=73OQci#pOWvC+$m
zOXuS0{SnG%<}L5VpCirJ$k_L+FyqR~E&aFUe!<CI(By|F<sI23;x4!1Atk3W!k`uy
z(xX&YHL}tAKoe^)yWz>&Tg2YZoV7;Ldq>SSNyY4Bw7Pguw)YzdifI?}zek|CEh1v}
z_>O;uL_uAmpiY}1Xgm>?VB1(3HSIr0m{=Q!&#-q%giGVDbCk5>b><JblpvPky3|(H
zS^BiDj6-RB0s&Oby9%5oMWb$_mJ|9Vd49VkxryiP2~r0fz1j)UG4g2!M>cqlpo$|U
zdX42tDveP`j`JU)m<ww)w~i*}HC{tcfDj5~6MGFnfGc7s#bayb7~GWdg&SEO4#k*f
z5rH&KypDN(<c_s)kOA|dB3`cghr4A|UeUm&2J2G*h>`7|0=#gh)mvqiu#K~0X<wU_
z3YS2**!H`^w}n9or(^v#w6KFWzFF`+s62#a^U6@~iv{Ed1F>1>e@eS!%mdq*0R6#n
zRaTYR;QO&$8kHV(&oV!(p6c*LoZ2S#G!B$ENbVO@tYE8}lA8ngLcH9Ms0#_hI;aK7
zFDZ#Ujtt<OZyK`!u(QcNHx-10HOqsb<|skbZ*rijEHwBgdF>;2e$V-avqq!8+s2A{
zcl`!7&GAW?Z*jvEujAJE;vc>N??;|6YlBA)Ja{gkkYn?i6Yx1#^{)9ExO5}iigQ{7
z2|2xd%(IAS4+Cdg{%m%$r{rv`5~Y3W)`R+3-sp3oh$`i<iuWf?q?5ZpJb)JfwuD-)
z3mkAdnxqe|k5kT-^q^DR%@dM>EK$s<tAc^Ra;Q-iXMtJq1ITHzMFa^YI_vAHzQBTJ
z3`ynL%KEp};F!y<J`u&m=Eg`FW42GbhO^v26#KLSu${P%pr}X0uUI5Kn-Gx>kqynC
zhS}lRi)@gFxiu@4Vkz-9$d=vWi4WwP`9G6;`Ih~nc%P5b)a-A83Ey&bbN$Q4j89Sn
z@6tX)ALvFC=~sR-+k=*VnON6vJ#T+LW*c6DwQ5CL73Bqct;(VTTv$p$HJGXi83|*5
z9vtoc$T~MJ3J|PRk9mA!`|1`=3?~RY4UZPie2l)jkwH2D%YE=YOas8CS~W}f9wae)
z+$#7YUD{Faut2>)D!xRKD*F=1r-aEtW3`y7CWNMj%2BOgyGW}>S1pcWl|3lulSB%n
zg$5hAszVunQsaI%4S4lU{PQQm31z%0Gs?Njs{EIQQ-+}(x5!@Scnajk#gWe>4M*jQ
zw-C!v{9(9$Us}K0kC&{k^BX%Z4nHoK461Utzg4&+CR+ak2kKD>Mn#D31jd-Cuq)2i
z!l9u7{|U8cu@UmD>EaVG1kf+Zl!JnznME)U<3lS+ul!e)zq8QV7&T}03|*|$HFmgt
za{|r$jfLXad<^!an8Xd=68)QGVxmoJ0`uAe^pik(zIz~)g_nfV$2!();=aq|p=f#S
z<X_!sjbv^vm6$K8Y^rVX?qdXr3euy)aci3hDg<_l>{6mhY*WA3vqUtWx$K?C6wo(d
zJt-&ghP89Q{cZ*U{}BQ_0%Uc4vFzA^rz^vI;4z7tra)*)(Y%nT@pGDrNGFHT@1aB2
zPD@I)24}`snGSuZTgknhi}_hfR0rkuw{G-<M)0s=e(q^PZRn-tmXb3m1A8k_Q|GLS
zT*IS@os?(I5lQy5NilJ1nwi_h@|J(Mai6}JeOO_mKN?%q)t1uJ+g60CAO_W@?ie2o
z=?72&Was#ZS!0}n`2P|09gbAKZ`?^`r%3h=*|H^MXGiup$jaWFV@5QDWN(?-d!J)x
z@0ERQGS5NCes8|-?|uIR&htF?eSPMIK>MiwT&okgCF;+VE8<53aX)w^${x<bggEeI
zXZS=Z=33_1PRZSR7Bk}W)E@Ed0PUCU1k4ki(Q6Uzo@_)D%1>&IoX@=gdq9q?3Ja^J
z%NEf{Otba6WaN56!iSfNey9TPD5GS=jd}gn{DF&`P?6nJ%HwZA)4{qv58%z^GY@KM
zO)2Nw(xB4<`g3#8oL!$(Dk=9ax^rbC1pr~@lBSw-7;DMjwnTLFne0__&c0{9l%W1k
z-^{JOt}1v1HB*3+>cv44j}VnP-YO||Uv2NX-l8~+mB{Ok!O=71lVR<tHK|OW6sk~^
zss5ZcE}pjYW7p_b?a;a>fpW`B@A=kl@^$wHf#*W_GI(31ZgxMeD+&UhAS%=7;$1hk
z_c(0Fl*ANW<pyVKT@8mvBaMxsnE@lw?IO7+rqHPzH~e$h%c?uo>zn@a$>){L*%f@7
z$9IYjcc%JWLx0}DY?Y_2l(<%wlKl%KcPZ7I%s5n-UqA-(C~eFrKN%65i|k*}ATdN&
z`1r0+D4}8+;<Vm^z?T&eqZ-1I!R9=QS={u#T0&c5`R$s;;4xurA3VG17c&D8BgbK}
zYod*Xdq5}pT-)_>B5{ddMCeVAO5Eeef)KCgGYVXY%GWk2Ces4Esgw#XmJt&a1=@%*
z7DQiylAOiER@=RN+CFi!d&ox#?=`7xU#cNbyEc<}g5tIfz0__$(Z8KmZT*ktgy)JG
zA<vl$3;;+e2)+%{v9%zh$X$ZKrusud9Ft&F;5CB~S^EPp2t*5@wSUePVZDL@6Uxkw
zH{3aRbQ{IIfBO;JLz4Xf2ZJ@LDCaAlTvT*$QE7p#(^o0Td!Qif(k+)&>wFXGkE@7@
z=t$0dV8ITH9C#j6mv%H>75H@0B07yq%E9V((*0B8)>a3nYyVvE^QR%#5fJZRI4B{(
z#X0F#c;&$9$;YzoL}yt4oxEO3ukvBE<tbp}{RJR>8t4SD@-TT3zefYxKTphfe4PI+
zb-JdGn%dhRf)Fv0liR``VK0^DrBV-A(gD;56UbNeZmU?<VLodFD3cfvQWEGy7jyj(
zJT<Yfgymn1R{-w`81=#Ta-|5f+Ts?A_j%sHkMnMldJUoerhmKAt7h%JD&zIRkkl3A
zIffzTYM@CNu7!>)PTLweB%G3OX{L1f7rr~vW~)P>tJV2y9n2NHPY{L{!<9<1w9Z$#
zq?`jL@{gd7IZd=IcwY~A3$PKZ@p@!Yo@46~>A~f~CHegFY{K5lZvi>Rx(X1$$+)b$
zZ_Qd9q%QFJS-tquj74ya3uLbKQfHD3;HTe)8XIIY7RjWc^?tsxI?^FQX`Jk;-*LDq
zmF&c+5hVDF3o;)NR-4?<2)R!x34f-Ro`Rp(k%J!9V&8tY6Cv~+ILxZ{G*mufm-zZj
z3hdE3w*acRI?pQW4(5tcyg9S6hR`SK{0xtiy>izk0mJSXlJ0tnKm(8Cn|C06#l*L)
z8{Jo75i3^k?RZ_%H;t^%!em0;R18*!Fx?zKgm@Rywb{9x^y@^Mv)^qmvhc0n6|$9^
zuO5Zp#V4gf%w`~WRQM`RKMvH9lh>Om@?D<>_am3CGv{Cr4%4F1Ta&ow_KaJALw;ok
z8J7|@nl|yYp5uoLPfdCrOw{9X)Fdn#eRjy{i?gGj85A(8<MT2;woF{(*?PypcZU~_
zq@d<uFEG2py;dB7uCsZu`CtUBe&hFph06*>Wq&+cui~*SRXcFo)pIsz@9qhVBJ#7j
zdlg+?>-R%zl`1ootTo|~eQZ!Eu095KeMBAmSPF*|w*oIlTQQCt6l<s1Nq#%i{9+_C
zKaCv<fPT)7r+h+K+|l|R!6HGo;E}7yx-L1(o1Vc~yfF4r^Uy~MvR}jHrJuDVFM7ZE
zBP4yW^d~5C3QpkLvW;Qy>p8li&m)r-8Mo3C)FcE^j@##b@}fE#%njz7EV8p@mZcbr
z<KLZw`F?y=2@cB)0~QLs3Zn|OGx_Cg&Aj(j?;Vq%${svt;}7ppQMR6iG3mm2lb9FF
zUv8Kyn5Gq<RVYxLJs3M5w@EbtYm(_v820Vp!u*cI?YcqqeP3}ok%hLv_{kR$mL6f>
z-``(FR`fjU-V~kUG~!|qHCOtvXtu6w^~?67R63E|{rT_|m|&5lN~+-_)Zm9xaag(m
zm#$~`k7>AdnsfNX5&wl>CcivAgS2f%U@SW)qbElI>{Q1iB3*dO-<=q&CYxEzY|!j_
zoLFOK(E%wp7ZLyu>E<wa{r?VweFJGbF+>OUWcGbSMW`wD0;{g`MDt27Z*0pX-15)p
zF}MXRyYKXM<9+FOkxYz?OMgU^&3fw}q_G5AyvuuMje2XW44z|=V}fgbh&OqC9ke__
zyma3fa~94OdE%8{_bQUF-}Ih$$#5ohHNLSw#8X29S{@juF`yLX)Sg0MCKxkNke%zP
zx|NbmKJeb_|Dwd@KtVV?Ciep*#+Fl)**V~h%Xn4CU$SGuBPgvgyJptOP9Uw6>N9Sg
zYD=!2#c93jpXpp(dRrzfDjiA15W^Xq4e!@aJzD>He}WNE6%LZZjt@nbqo#fabH=$w
zS1OfgqP=&5ePq>vN0;j%V9K+PnbfS{$&$+>`NQNx^}5nXtx+HV%<H&f($2!o6>#U{
z%|fFi!3eCyrW~`^vCU`>7yD7BQRA5L5D78zbYbF_ZDr}j$N45kd#Kk6pAbX_F(Qof
z20o2+Bw+(19XJ+%&;)ijX$pasuvpViAsk<(t)74Til+)$m+@Sqc2+H~KYzC?8(B-2
zx2-lEq+?>3uxGEwAjfyj9lTxE9c1QdtVebL&TdwMXcPX+;dvJnl~Dh|bIZn(B<tC_
z!q+aXnrgU3-`L<%9P3q;SGC0MB&FX5o<u5c+@E7+W9T0m*o~5ui<$oaCj#>3yJM6+
zT7taW@X~?A0}XGKocUa3WxA2>#CK17zjtHob`7bl>*|EuY3UHlwP2Ejh2v?Zp5oJo
zTc2$OLch%4o-w*vszeWV^$f5L%2L7gQH8@lEtBI4Z;c#At#Y(ixiL%-QhWD1aEdy$
z=Gl<F>(_dm65T9wtibxSwrD9kXJTQvRk_45bye`@1`rPNq+Ox{3ZJyyL|%qof8}Vg
z>-OS#@A7K$lV|ITcBFJBGi3c%G-ekt&-KNfnlPl_I0kFK1(h6hiiha?Zk$EBN@KI$
z11Rlgx01bK1TMB<fC^t`1JCoh>ce-&5FiGD-lSDom{$AAIMYd0wl$GMy-WnxDzG(A
z3hqt*87|*fg#Y!+BPqGO^$<B24I*mw?<7zSd-6lSV~LQ)`Cq%_qWqCZ<IIS&JFuqg
zF(frSjpG_bc3G_<>s4`?s3<=o&J>`;V!0>4upkzI`1AqYQM1@8J_Xg24pN^G&dV}y
z@cR*?*(O1Gb#HqM7qyo7mVBT*juS{B2nwjfPXGz|g3CP8KtMcwWzMA*NpY3S-5-m$
zd};c6J{wFl7COGgV3&kP9j|GlhOUdwxm&gCMp1ycK2GBtdf@SN@`MxySJfXsZ0eA|
ziv%f;y$TVX?1DFUK>Yvi0MI%0Q9N>x3fJDxR$uojVv@>cxc4aiOTXjq&=MW#mVp(c
zou2Km0E3lqad|en58cWl++$@r1HBQ>d=?DlEBwZdqKB{GybYzef{@O8IsA-^Vn2dN
zJ?_Oh{A!?FLR5sFQ}|Lm9#)RkFVSDe+fiG0v|5X^obF6ZwyupZ?3Q3%WKycT%c--g
z_TpJ>!j9+sdIVt$;@S0mGA{+iqK@cOR^ZYL|4gfMWvCZ#pwrX5``JFZOuuw*Hx?Zk
zlbG%eJPYI@OH{$H+)5%<e0^Rh1cnf$816UKR2(`f@+H~242c`3H9L2qlRfhCy%G-|
z@icd7J+|nEt`H^CFJ^ZKtq`5!*$<0WyjaEc1FMDZwb~N=DXMJY%6fLTRwAL1)h(09
z3;C!C-BAcT`OvLHTCsGt!&IB|lU0xHRe-}?MDMqPem{Y{q*z@jlsE<bmL2@<&lnNg
z_})s;Peu{rg)ZTFRHel}Q^`-b7UuFyxV!J0TXa2pRxd28$cgf}){l*Cl)5Ys^)*am
zr8Ly0Pc<2EBIfVEN61GVcXu7tBpx_ly^@#dljwDz)%D}G^~DS5Hn=~?jQ<TYw8Nq8
zF)D{VmtCo8s+t_BJWtW+om2co?S9ed=gVBUlWncav1M#3G2`A%f62-t&&d$z@#p0^
zAruEbBGRAzG1POeR)@g~_`TS@lK8S`fkDXt5>3B6N@hhf1YxzGU?(-)%H4=Z85&}K
z<H2)+7*22&T4S6QlN(aTwi6J;daLgJiItU>mN0fA7#;gVU?#jyPLxG@oUo$-d<k}>
zd%FRxaBsnc*=Gk*WBT7gBqFON#)^V#mcpB-hCh2Rn4|gmF_poW2;<*naduDGIqvE=
z@e+F?yno;$aE5yc_Z*b*5kD^5%lry#e%%Y`6Cogt>Zv6ev^m{oy9Z;`>xZ|&rH}Uf
zW=gXPHUM=PcZxTqs6HhvJBwBJN$sJw>gI5N`forH^A*TUxuBVo8=c980sYCgY@zLx
z&7EjGCBI$Zb(R?3Rh5%n3~AuQW(*;$;x#EfJ2b}$0X(5cYi}ZY+UNP_cR4)~@4ba&
zI~aRAM+Z4D^ocPk3UtmS>=EEmXX2H$7lb4DPo;_;bagCwur5FqOhaUbUd-AYMtBMs
zvvuwTBA%HwraeIZ;Z4B~62kb9*i`1>U+p6=xGS>4L?Xxq+Gr3R6CIR!(`;Bzc)kgD
zKJBAsbR?-#P>m*umS}3J{|oGW(h(CPNLv~aNQVLuX@s}51{YQ(w~wgy@!7vPvPYZm
zHkAk&?g`pIV%8rRO9A3ynl<n_Fk*Cv@s6~*u*f)G%>2G}IODabwoDgTn`F;2weQt7
z_H&D?LFfA$Eg7z&6BqSHji)<ybd>2|xw4y`uq&s+t_J_x1;TN|Hv<Y^nE>G}4<(&&
ze}JOmpY*N2|H_dIlMk5OnAfdXg8&2daPIbVEzia>)LKFNmv(|EGb2K3zYPU4O^dpr
z;u^YruCJl@XWS2Iosn8%H^bw1^yVy|Tw0F7#G6ZmxQd38hDN-`K)+V(ELp9<A{mS5
z`>P28dzd@>LEj=?-vriA-lCzXe**6oZm5KcAkRqw465JR6dua>Q=O?c^-;g>vh?7g
z20f&{f(=@xR`pT@P4n{5?()IgG^X9XmU2+nM;VE`9kqmS2@`S)CN{D!T3^nnPJG-r
z=_B6lFQ{`7ul$pJFABl-ur4G=36IbG9B(JmVXik=>jV3(^!_7(Fjo~78!EfKtz?Yc
zm@I~w^F&&X#%G6UIcG@ui0z;52;4Wf_N8=|^4eLG{8QaGEbh+>19G9YT0U`SjXk(K
z=Ed)jxKKh<p(`ISLqK5wM(wgMsyqdoJ|7@!u>|Dv1u<(gX{$r`4A{RJb4NGWneKRX
zCP!5&ac?`>ZkuYrO!c$h8&(44W7X5rC75tqxG^XJa6x|T`#T4h?4dRCR}Av>T~Uu$
z*@B&~lI3LrR31=o@s{Fw7+vKg$j&#z$C`U*Yt7Thf96-$B;5b_wPJP1GH%8#&#ZcM
zGwE<=a%xJdal!si2IVpBe~X03Zjv*=qKK&ojhk2q`bz1Qku87;%QH%_--h>FUy3T-
z6NB+(KbY$?Y!GRNwT!Uaae52yb*-iR+~|MqQW)iel--<Ry4|5zU6{y_(1(wbb4Gqp
zg&s4DxuoR)j(wMSQD9`q^0TK$K_?aQ>Y(GwQ<*#xpU>rmPa{0W)PP9vG{rF-_O+7c
zv#;d}=|Cy(u_-k`+x<kS;}!H6FA;K5hW{G@S15t5ynJ#L=FvloD^5#l3a9YV&z3x(
zI1t740?|-Cj4`8|X4Kx`ezCr_4m2bB`S~;AZ%g8z#mwL4O$1P5DZASHze-><n}A$=
zwf&YZ%e{;M2Bj~&Pl7izAo-!kI?Jn_71Wl4$zLDU3dp%jm){dO63F#BdLR24V_t>@
zq3#PU5_h*p^#j<ju^smH@wDFr)qCpq2luYz7eO4Nw-BE5bWF60CzW|oN`{ZXCe=xW
zEPdlVd5YF3eEoXolh|L$elRu2ZJv>lK{2+aUi1Bfv0R=V*JZgN8#cmUsaRP;NT^pq
z2q3u_o?O7eR<A?TL+ASqN*WyUQ|eh0Eiq(1_Jj9<O>Cg?kc*fS<k2x9O!F5NyioK+
zA~quX_=+mko(=&_;MtXr<zLQ;OsEg}uo~d-S)0RhinFTMJ3?(AQ8fa$eRX$*nX_ZS
z-FT|ndW)Z9WZcy^Fv8`3Fv8KUHQ^YDjYUbi67v?*^`s2ZLMEB6bCW+&>Wy{-(ffRl
zWXUz?hah!y(&V=r^At@QL*l|NPHEQ0nXn?;NVQw~dIJ*!jvRuh8iy^x_4x`)_;hjn
z({h{uqzYN|tmvI(Y!2l|hxMl+Z=RfAy{cu^*o~17A*~k=akk16r|P9@v^-vC$-M>-
zVoQKDbZX9~s8Yk1N}3zy3)2bzT1QH&^9&P}3vhUT2pKei<=9&cVLpW-V@EKFYj>Pv
zp6G{5jfos^?0%S(&cPl(v<v3lY7O(E?(0JLh-gf>^3e)AI;(0uBsV%oLPb<sRpO+)
z4oU>th2*EZ$H&WxtBPz=Fj7Y4WAB~iBYUVCqtP9`ZD-UGaYPWCh4HC#ip!#MfE@tm
z9D{3n<~VhJpiRra3HnSEU}iWl3AVz<+#i;MR3|3fhYg`SMA-_sQYU?vC+}L}1tC7K
zaZpY4ju}-;DlfZ|-US`M1fm85g01roYcPKXIoWQh>%PQND-a%!5(Zvd7{{AG>}Ts-
z$x9p|UJW)+$bNvNsUw{&#}cHL47&eR(-62%&7Im~OCEQ29rNq3_PxR0Uuk!~ijbEv
z|Izzibf?mGZ)d2f%lo-0-2T9BMvmhGi0vRAC5@A!*yY>V4qx^C7zf;Ijf9Nmy_-2v
zVl*4+5pk(hWX`kxFRz_T>2C}FFT5aRTfBQ*{JljlV>K*d%fs1dIm6zA({JuW_fP%?
zy$B}m+k_>`GTJ7252WHNLOqK&dQyhru8uiIl+2=8LR$-(TO8RUcl;TXNede(nE}NR
zj@}*p<-$OW^jAYui17zZ3DIuU7aaH5G*q~L9ra|Pxk5UDxlEXKF|Ban@m!Hl9?B}r
zvx<Fm+n8S7diEd@QwmCKo<RnRzUUF=7T`503nQG?Oqov23JEl`NKVSfdbqXwnV=F6
z(@~QaSq4dBGh(2#QjKx~w?*Dvt?Q9OGrV+xsW&ClcZsUN;HWvaeLKybyw1D&$fr1i
zUx%S53J2KIRO9vm-$hOYsjqx}i3sq4TQ3{EY`EWaZz<8gkkFCC9%0!uy*;WQs9)fi
zYB=8VlY=zp)j!}t!RuE7VVZ41BQM{B=(}KJlibA8>ocPTg#Kn<iY--rFWMnr^Ytvm
zdfz6#X5vrEg=wqzD>}zMY{zZdp69==?ca|aCS-!pAW)-3MEZcBo*5Lac~6II4`oxH
zf2&=PA^$YHyQ+y}mCVKsy|*Yy&7H%a`Px~-oOg&c*sGiL;FM9eTEne+(WN^1%F140
zR$~33`jd>QCY8$vYcK!pzaxBSAh+w3*qtUFU%(L{p<>kC|J`F}OXt$w%4AfMGI26t
zeWHT;xt5Ic)pZdjZg5E44cwq{27XHfypy%xoIIoKK{dWTY@UK@OTPn_LV52`F5ZA)
z+gK}9`l=rU0xi2`IGRPI<t`8!G<rGRCkYzG{}jfR4qYb_17J{6ZRw5v?@nuTa{Me*
zpy3+$^^TiCahvD8BhNuz7RO%+l(-NNTYxgq4sqF<j{q)HRs457a;A9Mpx=c#u2n)z
zT2?Bbmk92@=>(*cx9UGSB1nuY$0ch&7Y|UPIw?NQ_;GQ+iozkE4C7y<uD-o9$Fx`#
z9vSs_sxv$;MO3?ko{2+8kAH_E?2PURy&>&K*I)A0jR~)z${sK3_RPM4(M&-n$j_`e
zVhs0dw1D(PMGV9KghCwl$dlOvdy)@1e!oK|8g1MzL9Go6Q|DRL-l+id6+-NXZ}A3(
z3EOhE;^HR;QXi!U)2Qh`;^tUeSDS6{5<#$cUcntRa_fUQLWf4{86wHB``Wznx35fE
z9K6#0PY_?smVp7BcF>jyd*#9zDDEp3LC0&8%gYwYSCI7x&O%vkU%c3`wqr0N>FqPP
zNDjmu+){Xr-_lABTxL`xM`0f!n>uSQ<_N=V^u*=}RqzjAqO)(mUIp|=Y{j071fr;s
zoL1i&;oD^|<hy&LzV2JJ14CXDZO_>uceld|5yhP>+haSa_k7f3m=Ete)Sb@^bVc!T
zB$Ma()GS|N{<i|g>?VW<DCw6tpt7V%AmBGXyY1;j`a27oYG2zYx0&Jj-zrC$HsgJ@
zj|!h(TcdF+R%OX~{qh5onAfF1PwrDKwyqK`YqDBCRH}!=pZDlMv*Ql|o*3~r7B;L%
z^zBKbfPoJOyLxi&-H%heRkwzlM?`z||9V(^EA94bu;FU3{{xIPpr&_K#C@y&hEQKB
zxZU(hzk-r425(!e3;&&Q4<)JU_2=TIn`eAkuWi$mJqPs<LPuIO+5gSU0o3C<Q2Gt-
z2UvrUs59*^8s0KJd9*-~6<tdt8o7zY9fssY9GfTAlT@dOosu$nwu|6`h=H(<-d_Xz
zZj^g=0*T=fUBW_jty#|36PW*#Y?0WYxWc3ho9gU+m|4DIJa`cRM71)_9#Zuz9r}pi
zC>C)Dnvga=UFW0;8x~c%OmCf;z(6VDf}7EMnJ_m%$JS$z@A7Oa<0gk(jN^#EDLf7S
zA8L0MsR_)9m0Vk!Un0z?Mpy<SVuH;QW1x_a+t;%^SH(rD@2u$ZZFq+6w0frt*&kVC
zz+=8gY`bq?@{}&qu?vWCn*VdFZw%rX{2f#4WKJon2P($7$b|(6Yf|$*NMKabsXsbM
zESXL7dbeMox5-;)cdw@V$Ar{eqxMyGl%Y~WRNT=fK}rO|oI^Nq;kt$!*WK-rCo*y2
zztl@fHvg#8+A6`pNIlN<zC(PoAJ`m>QDkG}c=*ygAX!6+`*1N|2QsHo<($YR=?}?^
z5P@~?e<;)GA+6MIOorJU^;fh_1>EGROj?zMq=YLBr0;w*6uM=+xtYTB^DT;Z`)p*$
zXc)$riQuUUjAOv4G4Z`hNyy%Kcjb7S2-yY4;Z;h;=4%5=8K9nxh(SPt=HO*yJn$l;
zJAh4)%dGMJJNtZEMeFL8{efT0*G{EcGKR#1m5f)RJT@i2GUD}IsO{1PA*k3k;OBDC
zzg;>k3E^eowtd;bT;A1@7wmi!QH&^h%Iu$FoUf=lVf2JC#9U7@zYuM>+#b8=@l}U9
z0NhNZ%|hBVkQ4#z>`|iltAmc1N96cnuQ=aPIPhWd3)1qh3*3<knxGnL|Bg;XP~f@m
z>%X9gqU}R~8%Li>LbivAwpM<=H-sB)d_7HpgqeA(=u&cM{z87pz$usunCvy=pq+o<
zeH}@hq%=*CSG)V*Gp4RcN#*2YQhZ#C7**W@%o8N!Np?hbn^0WlgNT{F(L*LcHrXHd
zH#3LZU424avD>6ta7R5XwCe3iwZ>^R3weBG$gmZmq$>6M%#FKPOubw}vRWhh=K>Hm
zn3ctNdI$*J+S=y+T`gSS3sOww;9?+7L(|+voH46H<9t41&ITR3hE#9)DHJ+#PfgW1
zP?aC)G!?4F?3F)ihK*(ilk;*dBN8<Hw3$#KIMCkPK|Z0G#mW8JEb&}<MVD{riPZ;J
ztwF)aY_Ufu{H^U=R15s$MJHUsoNl@Rww4*{dF)03qh*Pxf*d|o{xSE8b)8wKb@r0g
z!nwbBt}dIk8uQG#c@oYmgi7G66&T8$D8Nyn@E!+;NPiMJKf1$H|KHPvIg|zb%p64X
z+hQM&e@N>U>HOt?MEU8{_A;pF$uJUHw6LLop`+rX^!4I1pK`rxq&k-5V0(#EV%19l
z1~F5LepCE`iQ_Q~c3B=X=4<bN(_F0#78wFx!PL)P-5#alLc(N`7$X%s-lyHXPRUdH
z$8x6g?gYsgu?S}6`{G?u5XsJsnh=s`_{S#8d`qD&Ph;`NE)#-eEHV&V+_*l}nKL|@
zO#=d=RGDh_Oj_MSLUxpj#X){8S(e}D>y8fDCp$~3f)0`;bmFSysrH#~FREyEok?d?
z8SL%azdnd}wHXo+S<zG{MBTYkZQtV!FZ@Z4Xi(Mg*8-DeSL=$|VJ~=z6yB;<C#!L_
zg9O!>*W>*}^<%wrTP$4nzvg?Aq&h5FXATBHhU9g!q4kevC%)7+Qf$nx)AHfnd>Q|b
zGvp;w?VY2W90p@Wr9pARM>1g_1CA18y6d2(r%-AUH&dG?dWTI3SHBqeK$g(9i_P|w
z6}t?`>jsBMn=^ok`0wDLfF8%9%W2>;CcQ>{@7F!&UhOhJUw<C58*S0`&zhJ1;o*VH
zXfy&JXGH|~WCBI~qkQfB!lE)vv1H4>+FEv)FRm1%<6D)xef*t3uk-1;Zw^QpLr|S2
zUWv8%*8smneT`%a?gsCiyZUOy^BAM-y=IQG;h&}vas6bN<A;6k8f?moAqm5c>euYG
z_akf+j{us;$V>CkRpjS_s>n`*XqiqBu(~V8?ia6tDbsk9d*x|JiMaMJ-v?jc3Vw3x
zge0wtEnuQz&0t3U{`)N(rw0i=Z+Q%R|5;IT{ZzVR9*<$<#g3OXxW%&5Ht_y2)S=nL
zSRk_J6{J45W`dlj_WT~$Uym0~=4ZAHUX34ak^W`&+rXgJ{MYs{_#J|hwWO@1{i?XD
zH27$yLE?}{i!Dn93S04{DQ<F2<6IhUq3||J`A>U+cLwRK#*^L4<Qmh~@b@pMi+{rP
zj?DT)ZD??}dOc<yYJb<VT#VAoE2LJa#LIf}?&>4_;2+Wtf<r!e#Ji6TP?-L!=1|(|
zXxd!x_5wDA*g)=`+^@TTLQd;-`M!ViH+noxc`R+`!k@;(UNTSa?PgS2@cDiAvvsy$
zaK)JANDk(R-S(JzFUafvHTgfe!cl$pJ4jy!F(Xi+U|Nd+ZZ})=AfZZUt)@zcw~m~J
zls^rlLW(Jyv`DSGO(+DlI$V+hj(`Ky+Qkn95~0KVZ)rRV6LQVs%8Wkny{jzIBSVG>
z`&cVirVfLeIDj^(7MW<Zma~&5#FT#jeEgH*o_=?Vi3<}UM}vmL$$?jltFlr<y~)C1
zDQua%!O8<ER<yTW=6w^^lwn3hjM%*)5M>7OqqJXC7AX6Ai)}1WmfX<$o5_gtCDe8h
z09U3IcQ7Ah#535#d<zYxEW4Pi|Nb5-^6s{6l)8j0sC_^1FQNAreR!gF`&*PkZ5&GB
zqw+<yRuP{t3XM6*q_jB_oZaha5;Q@Moese&O7-aRIj+02MYeKr=1k(F@6?Xl^}G%K
zeY)rVmxeH*dIml(N<C{TYn3=`Fc@g&E%+pj{lWaFgycPuc+=vk1oh8-$wGIX!3VRm
ze@N)BaNb1=yEuUvrrs;ar{cf%qttF^!giICO&^;QOP+ke`;+-PqdqQdNJ(tPwt^0P
zg-c9>kG*?ZiDq3!O0rfH>KP4K=`u5Y>geR@<DK)n<jM_ZB{l<Izgr=<Ea6c5NU#6f
zD2`)sLe(JbolcIeSK`3$xDi!257lao;YPe~d8Gqrc6qmMxV0HeBDL+g{mT8u>wXIP
z-<+6*%{^(?0<|^qmJ{X<Vsm^w054{AB==4Hxk(x~oxOpJk@QjJ`><R?jNw|NLJS^|
ztF4ouc850II6Jn_d5-P{>~Iy68%ge$1eGW5@HgDldVP2W1&ku?Ywk&xmJuKUXh}d>
zfPeXa0%fo0W=G2M0egC$85*szR$!bkTHKcp><%&L-M4}OMSkO7v?qr_3p3C%Fw>to
zo<q-0alr1h)?PaVB54VH>J=(F06Ct$`PT5q?Q;#H^1EKd!#mUa9Gje?%Lwyjz`{(M
z-90IgOyaBi<92ZZtfc0`lJca8){kGmS&0@F+|$-&gv_bgfLpJcR@M6QF=ffrPYYEf
zBL8hEjZ*hZu-(>uo{FRw@inqR4H%P)8ey4)`C1CzvNm@Y<{sfR!Lm{UjP|+m;?oLx
zUFBoJT}uhTB3RL9h6$55%#3JL{tAt2L_x{1@{1ZB#{|S}2uY5`d;fr76BN4I$`S0;
z$Gb4k57>jnuN92jE8zHjM)Kif05uu)@DED^$zGCuv5U+T3UX>A-zO~6%=?Ejt!JDe
z%EhM{uS>jpRg2xtg*T_Fhj-~!QLz<j6TXLK3~KarO*R>CaQ*BZ4=R;bv%mB|e4yNx
zT;!&_^*NbmSAzMPM0kxQ3j$DI)S$<d*K3@Wp~wD2NW#TF+r>D?#Rr}GU19LrhYU^T
z!FI!7B0ZkJEUFH2AHwWXic8?-Sr~#e7{YXxOD*C}4drWb9CJAxp?9yd)!>Qu@4`M%
z*6-P*_tJm1;~$!}JRIqp%VW7dYGV%GJP9<%k)PF@$=*pd4)8Te{f*}fH64Mj-ulUZ
zh3?}aLNdxgv67d;Y`B#YCh<kYf3{ZcAVD6B+FJpNWoH&#!xkRntU6x{7`e@OzYw*F
zPNT7Zw<KYg$Fyrxe?p@0-})LnUT8AODfRYD9xWbDjO#y96u)5?{R<@0m=|-p?vN9;
zq^ZOueKP1z6=A_MKeA;cfRT@c#l!p`p#1O_tNyv0i&(zN?xx#|_mL|1sS<vOV|8iH
z#1$lDK0qMPpLG8EQdR4Vu8eC)^qJkRh>3C9v{Zh)=fG(lLt|Qy&@lZCL@Il7ElA6g
zYO-|(^*j^VOtee#J4$o8{K7j>YRiy3h>t$b*_70fZBfAC)?x0`!i}4!csg=7cJZ!K
zBH#1YN5IUiecv*d&`!_mklQ7i>BQyXNq(fHdPy;*oZ^fi)s!E6@*m$m(NoToyO(Jn
z47a*IZ>{}l7_Bmy?vEt}nSI1sZ%Tz)7t`=rOY+uxdEyO|@e0gcqu*9RI}dy<xldvL
z9Rc|_^Z^Lsh3OC@Gv%PvTc_;=jF~m&VoQq_CPI(u`YLmb3@5&mxD2!lNUs~pcl#>T
zOGU7*z6nSWQo6^j*9lP_%|7a80Swz}-M!zrap%NN1LKaJpnHKh5q*h`6#E?HiRA0d
zEgqoOANJzES94GM>A`qW-@NzXw%c6$7%s%d!qkPS<ZtRqU5?Ij>NjOlTjaL0_6=CX
zQ35uV<)1d(G^C`j;06mu1vZXgGn-b7HY?rwU<BIbQHFIK+wQV%v}5NkvQow?wk!-{
zxjk1d58=IoztMlSUV6H=1y7o+q<l!ObUy6#{aj_kDe%fxOWnw^!ppgb{Js9h{+6Mn
zZ`L-iw_{)Z9+JXFEp~r&<vfb_62!jCW-SjoRiNGVCrMy@BVG}JT5(nmfOvR7ywX1z
zYm(s1-}GP%+{d_UnSAUzu16fFjR0B{Sh6+*`gry+J|ZOSmbJd`_uC;rQwK;mU5>jE
zB%+_wC&R|X#kUh{&ubGkyNxNiA`5K0=UiNV5~gRqgmV7Hp%U%43HMxlnI4`xYoNV<
z_lYzk?^9d{5nxmWuY*6bR;n={XuI#$zF<D!@sn<nw_72fbT0kQa&q?w$nd^}UFwmd
zcO{FH(+VE_KCD8xgx_wMvlNq&D(h>sCx-I?Zzm(p5kMp#>W0mx(Kjm?f~9;RH^Inn
z!i%7d37UnCx*c4tTwEh(xj-PaC{TKd7*3A+KHmjD*xiU-tOmDNX`v<05!)SW7p{kT
zSPSgSPvPlGC48^$^WT<%jB^%kfCa2`KkF<2b0Q6OhZG@;K-n<l^iOwNpAI2t!$=;l
zU7yKGz0mgGYl=Zc5xs0^FCyU<Xh@uh7*TE%07*B17hhodMB{L)pKX7=nTrRc55Jlg
z*mQ|Eeq!yvs2+yQ{43j92L}Uhw#jWR#zmD|uuLC<W|*f`F_s{S+<GU6TRqX!QmZ7D
zA1#l0J8YAn|KxqGQ-NXe`a1!JIrCT0!T=7v@9qM*Eqn!@FI^!G?AS4LH2+Mt=Zsq^
z<At#Jvv+WL(28|=F6rkmOmCr9S5KX)V=C12IYp*p_!QLpZ^H`dD>ilDR4ItG+Hbor
zhvG0ek#ZNW4<ZEu<|`0%p~P%e8hF5rh$>HATehG=_HQxbMYVBN`vw-SPsB2R!P^IA
z192_CGKUVypDQI=yEIa#yaSB#qn;N5&BVQcy#s~>Iq_}v8k!3{UYm@06)f=&dpjX3
z9oHDr)Arv0t$=J@PllbWLO3F;^kn*?8%v4u^ugU6i~*j<bG&>5s?|aJ1l4VGa@BSP
zi$94O;}pw@#`|xU^E@510%U<#DK<(RV;;IVCv+806oBUC@shzVag|=zAN}}))4r>h
zjEk|!Z4R5f_tD|=--qgkx;2RV_8!zL5kJz^X1M(fQ&`utulYn%W)-`Eh?eJ5k<9C<
zw)MbmJhYwUStJ>EBR^y&T~I%2wRMv2<24xek~Uy)91g2^K2KHo$0(o}eqFt$?n$qw
z(PcRyTSP)#4>`p30w9|ikda_b!1bpHvaZ0E*0k0NvaZ0|{O;52n%G~ocsxvU;OgMe
zwJ@c?ir6ZDnR^WxmU_1D@G&v5Oo6ZZVPIm7blAEH-oiaF2hE)!hci)}LE3IUf`hR9
z9R8YmG8+1Vm7E?Z=}hlw5$2IrX4_S|ND1GMIhNMmYRm=#8&Jr!L1YSYpA4&!tIHc!
z9Q9K~;{nI;S@@YGQ~_4?UcxiHs1hHk@EskM{jyuuo_7t&q~x^kcX+~H;hl!<*m_q0
zcsK%s;->rvF&4E%fCimH<*u^l7?bjpJ;GBcic>~fbv)j6zuQnJGX7wG>#hhdBvvZd
zD8VvEa4;6;-ud`h9_ZGX{JQ^Z=rl%t|3%%Onvapdr@2x8wM58GoJ>5SVTkptE6i@H
zBG7J#jOO|C_*KC>PBomN-~2=MIQxP`Z8oDk1kHPcMMB=byPW~ZgH2G*v)yO@srKsq
z4RJv2016#xI1t{G_=qdrD^FtN1q<R+cQd7B)!Eb7W~$-yt&JJR9pGiXlh2Mh0F3Eb
z$)vBjjTYG;f`Qp_3=?-vetF5o8c9;Cg#ErP4jGLM3wJkZDK(%AddFBf(Nd4vAwY)t
ziyu7v1&5box09nlcb@KY!f)srjfw<!J-f>NGgz=E)1UzNx{k?UmvTvm7~uu%%Zt(s
zU(5!tb#2SfxjUqLTuXB@Lg?GY*(RQ2_fPtyD{-z(%giyPmvib8Hfdy~VHd*4i_hrk
z4hOXtmkK^y8>e+I>Yl36V>|fW`kecLD+X4&oz9@67p-L!o%!HG+hAYG9>)pnu;73d
zEwS(o+Dm>&nTAqVhRP}CGnzQv!*{FvQB}P8N1Wo6Kkj$+sqEwPY$;`A#`v3K!x`Dj
zLm)vJF+5>^eyl7-vPw8UC1iEfNA62eVeGr3F3=8dHP3rFt=@(%rvFh5<@dh8{!KFp
zHS6<Wym}i7miPVy*W@u=*s+xeDU-YJy}alyMOR^i5wW|`(WLen=8jpD{#2AjPutb#
zDuvi08L^4C!sb<f=`+i{4X7jrRO~3+9>>8z<r4O;33POokgPrpp;dihasgxQtfaCi
zd1_DLu;-YFX%PGR&D`-(bIym3-U?ri<`&OehtCm-Sj&VW{W_rVZ#KT<(c@}EyEGs3
zgN;Cxw8tDaquezsfLrB%BT3%G_jj?m?ThgIAQSo4rv1|e8|?o2DXi?TbkHN&!8}Y#
zn8|M}5XvHdH$k0;MCuOD=~%eCnC$?ZY;y!JeW)2C<OWLcZZFr_G7H1vH$PIG0mtmI
z`F`pOAFV?x00LNUTdCt-<KPWY+Kv6GP|HH^rb%a0L}yURKFU!^o_HXqa#FrwEFdzJ
zIox<Tjej#LI18cW($eRj<+v#0YhbGX%n?%P6H$i@WqAF9a@n@SuUUfpd}_oo;EvMY
zCr}MH>@UR5RRkXhev;W%6WO6C@`7PXC9Rs+b(cK6)G(5fdt~kM4qx4Ad8uM!eT9M0
zx!?A+GN&ZxcY$2`!<54K-^xc?VpFQIzqL|g94bpF>?PZDaQCq09pWiQ<Lc`h4MNe8
zw!$cnI*|xn*@Q2lg?)Zi<Ctn1-)(x~M)zotihkvqPLAi2lg*-59{xq)v=3X)g5@iS
z20CtjV;zmemX5901R|Yku_QF?>~{W#c4Gn}HfeN9<=+i4BH3{FZQrARA0b1}f~i3}
zy^I**@s&hQVk$H5fQW%VtIoin4sIMWF}{IRdQ7@0ml`V+$Fq>5F0oL4B%T%5vro9Q
zz$?+Z&)vDW{E5Lp(~<6Q!B)1I$09ybh0mfzd%p9x^^M~A`s{y>M&KYAX`>wTU0Qdy
zk6(*pb|k1G<u_8%!3OBu?hDV#O3Xp?I6G-_K5LApfU0mu0NUXX`G`d<#H7T$&f!iL
z<rrT`PqTyhg=oqRaoXXPp<BaSVw5oMWwqYG2W)H?mc?&o-c0MKa<D2FEj+|nA3w}D
zO+1d-?RT4;<C88!@h4rToY~~xJn=miM0FYVCbiSYz{KwI`ldr&@=u26U|#$X{tSII
zt(7(j^?#B9YtD~!6S#P?cCPP9Z@`5(dZqADL72qj^9p)*l3vlRcNcAITTgiqbIx&B
z!dN{q^Fa!*&oQ&U`i>rD3IujU3VD432Z60_O8UCj5S_MP9$Hogn5DMaAC1q}HBy>1
zf~P_js>!fRg3{PXwU1|?7}$v$Ej?O&ZGH6V1>&`hZ{nDuYQAQKHtVa{eQ);$xxwVA
z5<xGke({~SGqj(64&cL=@4|>*Tn8I2C9mBnC>)?Dgf;Q}WieU@4IU9B8vf~^o-$*w
zSh3!37b;Sj&l1<~*WU{@9#?-lCcp2XPwl7DX!x?D%-kfZ=xH&^;jJ$h*{{DNh^1Qp
zfq1;YXg$ieiq?$EzZd--2{g>OZ%ppPo(GBCR_wBRxTeMBf0T{7ix%Or%`f78JaxaB
z3G<W^GpsEv&WQvzsr@HB=idm=z&-BR3O!~IinE&sMFX#(p7PKg^vECFP11?bF?U;&
zz_5ZG8hhiZQ3{^9r!v;OruVXh4$47@Oh{z_Oza^B?5TZjlZ!zM>%mbafpoUd&eeFT
z&$@dS=@7=P05uT4SactJ_kxe2<hfTyeBp};50V<K<iZ7JCE!&-WO%PqpE@YI`~<r5
z%FEb6<)ctlmm7=hGaOWIO0wxv6f<I_5+Fst{HL{lvmX1v`5O|Pkz!8}7K09;(G~bP
zK)GiXeofhT^I7?dT(QVtRhM!Fk@$WCsFh7xt$$7qzZ%!+)pp7!oi|g*M_0|BaweMj
zmBR_nAz7c^az7Z^(AfSF7!oo<kCUDiaXV}D8OcwDlM4*g)Ot`?pHHWx!mIZUzbkg@
z>*{cvKhFA2rk%YIHP(`=mY8i!W?hdUku6r%HS|_Lte>jn->Z3QSxe5ryM;SLjyx=!
zNm;Z$KJ(}7<cNYD-=9g-C1Wfg?TD_3&bXYy(7;-jf`V+^;)meo<{7IkQO@=6Y*CEF
zDY4F0A0F#CQ8YUYtzhdX=m-@D9hXi+B_yH5xG=(vr^p6k<QQmMNkQ*c%-Z@s-@l(p
zqta>asc)g+rG>*<?#9dgCw$lXV~|p@{#`cuIukGHSo8m0Ey>#lIR|?(q<X*n40PnG
zPZS?sq>f0IJ$nE<|NLYtdgMxGScddysA=QJ!i<?gN<PY7Wd5}(m&1yLe!9NqUTOXy
zlK4j~gy+cNjsM^KRNpS#Z~ZyPyv%-olc;|i;|3zuLbBMXCJHd(<*+Rp>84F36r4Tm
ziu{DP^&sNU83B#HHbI!L=iqpZ1$(9-(vTeL?K++TV%<6|q6YqD=~u<p?XNQ9i;(m7
zNaG#!z+%GOtK+W>iG)mxDtEwEUhjyox4m#{+gr?=(@0tSI!i$v&wgbOh{3$}i+pj;
zRsT2r{l#k`G}_0y$cW|8%}CP75_}le0UKxuRcuZA6^jb+hIZ=S=CfPReAw?u)kYqZ
zOguiT-9M`SjhSL#n{sBI3ON_#*_^jHS9E&%J2)+|<WatoXh$joQcMw7`qL=+v`d)>
z)ma+l)L)JZ@d-z7_IGeqZ?EiN+~L8Rl9W8w!B|`qS^8xq@5D-Rf`72KEW~sJ*a)7p
zS3Hy1((9et(R)8~WXfV&9JFM0o6bo+=6Qfc%|htNK*v4y`^QQ8S~n|s+(~%%ggKXq
z^FI}M?=g$wNf`sezhq8cELVi)E;Wv$;sZ$O-hf(!{c`h#8%|AaqtrU3RgBTr`24m*
zUv0bSgj4npIhn`F!tJ+$6$Lo2#9bQ~-!|rNpXDgYDwgeQ5uc=%JD0UACyyWq?i<#l
zUGHTUND^K+F72ejTr-ulvWOm!MX!y29u$h6XtJ*;Qn@GSX;@FmWf_>`c(;VW4&xaM
zUKbjRbjj%EFuDIy;ktn5niap`ZS7r(CY>J)JdWLsN@>TY?uFlf<2Hw~Z=9#=o2qc|
zxAxKAlSwF8Sk28y7BZl}%~wM8_SgOjLWz1rr^7)mtO1odqs#0XdgRCaUx*SXNXVx3
zFzIult=vrhLzg5SjI+dxTRz@7-n}&4s>8FE<($4xeJwUDuqTz}_h<+RQIPr;tRXDW
zOM~6oi;r0GrAvm<1SWoZVHU>tZKObWqlWA6Kv*bL;v*kn-Lb$YPoc#fPn*Uj-wPRw
z?izum+gf@}4MJpLZc3MdkE{HH#b26@Htpa$z;grIDJS1wruyTp<pm3+G*nNl5;6tj
zs+-#DrE8##d|~P;<e3Q~E|;sF`;wgzplB72vIoIvVQ!H>I8#?e445@@dA)GYtdd0D
zZhcvL28kt&Pkky|)>Q27RC`=7A&q~QAJ$GA;SsEyq^Ys{j&6BxgT1+BU$g`XF>ML}
zFCiU*6>M=<gGSwlRYCUeKbLj1)hCg6YQhZ^SnDKT6f^Mu{%9#9F~p||z1!86b@SOf
z1PdVsRk#;C1cI?6vK55|N-W4*n>{3IZyUU1`9>dY{+=?P<8D=eN(tXv)R@?1*`7wa
zAvT^w)#rJyqM3hhPijQU>F~c>&?j#kjyhQi@3)Xl{Z+5tGDqR~(@{wX@!xQe3hE=*
zy^l|bkW~#2kTQge7rys!P^8{avwM&ZNVhaaDZZ<FoL`C=%LB>GL!GUq`nk&IS`+^3
zGZfCnfpG;7cq|I&>P2)qSZ44zCwB2Ac)8Vh=LtR_;PQJJpN`)Fqvugr)ciB#91}Bb
z_mYqvrsWpf=k1E`@KIEb@-3(S(Moqaqi2ZnzqqtoRy}uER-+HZBO@5`?<AeSxqdfu
z1Q)4izP$Tg{(0@;eC@yQ{6?*y#o=~>`?qlDVOwewB~&5~eaVzDl}YVnJ<4XfZIYU-
zlf{wr*E+H>T(<qq49zC;u(VmMXE*%~>D1qUHM8%17x_y}CH))T=;hv%aBS3g`IuyW
zBF3s0s)y@W9m<IC->TbNH8lTSAx>E|hT7qZ$9Q(|B?KXwn;>Z_Kj~6j&0s*^6CDs%
zV>Ev^NQh{Vm)e++8_$%>F)pgyMG^cGzgw^>B(?oj%sWp+Xpnb8msGxZT{u>W-j(0W
z(SHpJwKW+L=iV_{blOdbeuhMWgXOvE#;6)aUN)tHr@vOF!LwGm)B^M5PNaWZFWj}^
z6>H;=OPF1WXCBf%@G82{H89$dmyg>US}1eEk&*#lP0}6ueO&dp=fuiJY4E91_gl5g
z{Nd6ccy>c)w-%eo3W+e?EV^EE!zm*gNeo_|ns9Kdx=7yWj6b5UkN@KZ98_o8=O7`Z
zB0uut>nEYx2OgQz?J%=9Zsd0%p%I)xf)y~h4D#4@Fsvl_IRDmmkL)lfNv#(NLP|sj
zIa-*oF+%|R)=dS-g-<DH)ltcMlWBtZ1o{d5HV@NB+#=X#eq?o&s|eeUxY34H!t9?G
zvr$01O4d1jeL6CYmp33EfX<O2Cc|-Lz$x)CPtDLBoGkSWG;A2n7q0n~7Qxs?Lm(o&
z`Em4UdGUgB(N|3Lua=gA*Yyo_qHXkyG%;sXKdLEFwq4;tE$QshKOyR|j@!U_^iimE
zBg_X~J^*owy1NInN9EYeSNj$atp=nU_!L(!funVb7jnNYmhB&DBDVyeTZIT>*PX69
zEw>9UhOnD|SRLvuSH2>3tJCG-)G)N_wHhPOh|sE{>$_=ku;WI%Jk5yUVgJw7K)bvj
z^GFFw{%853l>Bh<&bDj(0O<I!CkV5~XDN<`TchWbE&|f6T20p3L7qOpgpfQ??##$2
z%#N3PCm(w;_)F4Xv*!32s0HK~zV}fWKbLZ^vvlC8-FUJ^wTV=@>{JSx><P1A#oBmr
ze{JN@v1RkV!{*Ev3&^GYZqW__YT(ePs`j;!J{{@h5VY*g{4TcID4*v89z+q}#ue9p
zAmSO*^_mEkhnT3%Ch)Z{&s9kn$%9BpR)FVVd1vK6zmBs4>W=M8+~NKey*Y&T_#0zG
z&o66&qkk<oH~Zh<0v`xR_Gi~Ko0`4V!uela+djWke<dSK_Ag@I&SPgux2?=~6@K&b
z&}Afj?egn6tt6n`_IA^)Nl_INeNVxNZ+s%n$_KH~IcWd3a#4YqBY^3hHVOaE7j}sw
zT>h4~gx8bD?LE1u9O5hVxEZ}$D$lnx{-%_Yz@{;C>r}s0q2&A|#+~Q!z>Agf;X=#)
zxK+NZV067ZCfClz9x02%#Xfi`0u&9ii0*BOUCCFme4PGDwYYJLj6EP&J+XNu%JCZQ
zZ-<CxT<1$EV7H~TW+AnCTD~QCt8t4@oML%9RJV&EK-+acqJJ|bz||ueu~T2nQOBdy
zGN_3?nBSXWBJ?69&=s13QNe<L4{18_s#@xfyA0b4&UJF1X}#xQ96#p$6i2d^;JKC+
zy2K>FUl&38A(2qWSE4#Xr;QGEuKO`4O1*m{e%tb4KO@Bc#7t|N^Rn(^$Xl&C1U%pb
zBg!vEE<HTGHA(dqVNRQQ8zu7HqwXAd)}dEf{@?Z3f|Gn+hncFb*sm&~Vv!kk6L`lP
z_A(9KV~%*o`|Z350p|{0-Af^bzx`|q>3Yw=jrd)|@Uk@DaZM#6aDh%>B~ab7ZFSx)
z_;T<oamS7LpvcN})9<<#6n8$GDFY=OX+FCfMEYO{Re?0ltR!{fB=cKeyS)}(_LB)P
z-ES*|mALxe;JT6^UcmUfPYjI`_O(X;_B^5-*wRb0xHNQHMPO-crw4?DUhy7-I8cOz
z_*;X2pQ3I)hG+)FD2gs(s@$gZl#}q#Xg!H5CFcOvU406>$d%{Y5h_!4+!j-@y+<rs
zZetSmb}Ros5mOL7AdSs8=?>CdF$0MuOvwlR6Zht#cj~KFun4@41OkrJf{s%!VToB!
ziiogLC-u0~Lat_M>%yQ~0@v4x^J?u6+14qzAshAae-mae#H|(7@p2`-IxDI#1j8##
zU5!Ot*T{Si&5mb(FKa7Ax68TQJ&4mBFBU@4?z2}$#E`g(P!4{D9Nol!6N@{eiEm^1
z=cs$7VpK!?gk`-;Mpj@+uj$J<cI*hElOc6M9g)U>P<Tj$Y%`eu#<@7o^`}Z46c|Wq
z;Eomum)K)wQAK6EsOL$AoVbD`%$S*useA(Ii7yY!c+JZ2@5mlitBv7Y-xcZpRuT`B
zIXaLbTNr?s#;i+1*Rt*kd1aKKkzEXpIpfE?D4|>GoT{huzZx1>nXb;&t*(kxwZ4}Z
zzSQ!NyIb*PYrc9)J503ElINWFE;%W(gHq?lv8pI?^VC%ywk8#RwgkRo1?VF6`?l#x
zamooeS;F3>P4@YO_%@m5(d<B+tBa-&#RLc4%nPPTr$6CnjZfPNizH4nrE{dI3C3v$
zLk>Hwr^?YgAMNQZ|M?R7nGSkiZ_QM(ZncFZ-NE8IT$ido$glI=o;vAZpW;PYvpOMr
zcD=$tP3$0QL2o&Kxbkgif(OQav2p@Z<!1kCbC73OL8dFTWl;3bXcYU=1W|bY6%Evz
zK3ngn={dkwI(zx6GULG&1Ud)fOG!oocF(%&<#NsPau4q62PdV*%&(nVo}Ls<;A%F*
z4q`G6`gO`5%~FX7$@g??qDe}ULh+)q0=*{}=049+Cz#gJ7GvvrifJMv+KJ24Vh_q!
zT9p&%-Y{?THr_@k4dAGD*64QreEEsfm3}gB%RZA<_hnCKy9X=#Y+o~FX7km?qRNvM
z@c$+Sf<!|c+Arf5sK&6Gv*PyQKUqq$f#|Q^?LQZ0{blYgf3{+agTKhB5rU^F<-&?*
zR~x>_ul9(I<c=n3UmbEzNPl)yGvctDyFczACVQQdOHR=Duk!JCkho*sns*DT{(;vM
zn7Cn|Fwj1~%^f!Qk5i|)(%_9^wfWwW=6u~gJc=UCw4Un(MLhYpoy^&(^Mumd^}oZP
zH6!b~C8IML9Z4GiR)dQn@U~vMn{5juPM)VWRJiZy%=rAWG)%CgwC1*Mj4k*<10koC
zN@^LWByehUI%5-QLA<z+(`QPFXMZ#ty>@a~m*U*;EY%jkJ2!xB{)QY+QB^m5;3{_S
ze`kzYvg`KXb&37>zt{7J(#!3m8j{*obV@x%o5hsQ-xAN)HY}RqvE$tvF|643%-mRb
zJU1aJ6)1i3l&GL^3H9MdD%pINLbLLi{T8jW_0$`4mfav7r0aS?KHj<wcZ&L#N8A)|
z-!#1L)HD!(N8;dpPP^ved3CyTk^H;h#K!bH(FkJjcbtC#SMPVp6<$64S*SMOHrYoP
z#C_KO;?lV?@%7Nx2+Hy(YK?F#E3Ar`+b);Zb#!W6iMnJT-YPOCQtu_TQI^~mqYQff
zf0%j;zb3rze_Z7S5&|M6A}AstjdY3<qI7piHz)`j9TG}+hk&%C^hOKPAf1Dek{hF>
ze;0gz9>4EDpksIU+;g6FHt$Sv)W{Y3QLdtEh{RJ4QeBtk0>*5sc4;4Uc|65K{d97A
z><Cr{6WBQ1hbGY>FNT~H)~FvPPuMn|Y$UR;-`lAVk~{7h#suGU75fQtnHk<jNz0Ej
z0c>)66khX^fldAMz<2^hk=&zAk@iOqW!y%)TzQj|#lEq+%0Nfnj<XPYm8_+*EGUZJ
zf6LZ1R(Rj#@HRgkND5{*k$FGz_E_+%q5Dtru>QT=5$G<0{QA6AWv{2ZSZSy+4v6yy
z0N2!AL{es=gkk8BRxxC)uV6PJk0X|TPOYr;V;9K!RATM}>t@K|o)6~I-qvt8!SmgI
zif!c__cfJ=PrdKzo!j)uZ}^pr?j%6bK50vR(vNJcb!%;aSyaJOGYolT*0*7Ap}~B6
zUS4a&wPh9>1d84N=?uqAx57xlV>8Aa>(f)m-|F7ncL@|Z%7D>Wm@^|ms62u~gRKP3
zG(aAM>Q1do;_JBvlEj2So)J8_ys6P^sQ98mq-zWI;#`SrY~0zbCyx=kcM(edM3^G}
zLAD~oKGKI2P8ZFtg;ugO8{w(=21Des;D}I5U3wX5dDk?h2|52D&#oj|k0KQ;TNBd}
z@2jk{P~{b?dKepOKiX1!7k@`~@;#zHYKpuj)*gS{3Zv;vw>dSfx{B;qM;oOWZg*6H
zgo6$|M|=r{7uba(iQuG%p9aHEnczm6=hZK0ri$ig<%-#m^Tnfmk+Ce_4<a&)8>J%1
z#^T6F;}F!|U8N!2O@cYfzqHs2sPcX}_^nknp@?)~piPUm^C>FUzGx=_Q$>6Eme75^
z)GZ}y2sXby(mtVkE8vohy2<z#I-EnpPxg(b`GSc<gZli;;vJ<^alxGR{*QD=&tsGC
zA>YLjNwUU2w9N7N@Zx&gx-xU_x4m()YyMvWN_-FKOTwSe&WY@yN<>6>c%6i7x&pb@
zaQkM`bswl5@@5p1{uo+)C?u}c*`M&C%R5g#ik%!6r6DHJ6cF7MeZRB%t{Xj9E~Of<
zujL6M`C?1v&D;gv9<sAC-gT?9csEP&u&FpN$nO-JFL#UbLf+n5;nLuIQE;1B>E0{Z
zy$!PKyDb(xQ4EAVujaM08qRF-*2Y7FR0MqInsp$}lkKNUZ5~L&gD*WXsLir8l`n=5
z4F3~%jf!c`lcs^6&3sIm$sF3rc|k%keW#f?T49=a)`{A4x&e`Ji!YNgF@b!-;G||p
zHBUY%m&}q?N}SKY^Tn}Kex;t}yq=h`FML)+z}f7HFC5=k^3p(yYjvhN_g%8<@9n>B
z+BJ9n9#}Jrs|`?RPMi-q!Gmoaj-PbFWZF`lq69iX_r{47<LdI5#pR6sTgnFd_a>k>
z)n23av8R4hwwMOjkhsui(F_gSYj|7|`RAi#R!lBBXrg)jvB-r2W#NJJOa6|vjUJ56
zPlyaH4*$cjvmk-BGin*MN6$<9Kc8&ZkLoE`9TYd?C8}{JOLhC~VTWyK&*O<HTmn5D
zqKgj<N}31D)6#}-giybh?20(|q#o%kT?d^g2P<FSaJ2w*=>-8o;UUuC*pvd#Q5CGB
zv_fo88l2g?epsU;u(t@9_(3b?r}L4<dxT)5*vP@CM<v9W{GqTKu^k*tKQ*fFb#V|C
z<F%0R;@3x~I!2Q<Z>XMM@x6I3kkzHq;D6RCNoGgonGWc?PXBF#nqIbhYUtzzWHOVI
z75pSTKa#g)Ji!!XUiWxd3f6~K?{LesE`QF((joISJ_v)&H_KmT1Qy4z23>6V4DCJf
z9CcR$%N#Fa@&isU^H-~RTL?d;M3zZBdNw&1#K*sXu5HCr?e`yl<Fc{Y2r1%YO#T}_
zJI|SzG78FK=|I`msT9m!_=F#lrDHkdL~XA_v0Y9JI!;=7Dna37Y-yJ`1vOG?#srk~
zF>T`N%@%6q&AnSl_qKK;=R^1WC(UPGQPc?Y9E9_LC|s0_sPyB1bK2WGHjJES6)P66
z8S<^s7X?Z(J?`5rjim7m9o2ob+BnF9R76*v<Ix>uAnZp!=~d4TY8vNZ`CUI9ax1=E
zoB63r@?309`}4?eX#?nwYL1(c;pA?7i=KRE?O<}Rj_|gyw>Vm@IM91PA!?Ga4fn7g
zbeJ?%Kl*dAc7?=}ZIrXDg8<}z?vA(6Yw*qD+1mMEwvIZ@C(uim78utXfm@#A?RlHS
zH(~P2U1<IJe#`KBZtsL!!>P{S;G#nJJ-%?8`+FvTt^5(R!ci%Z?~Ry)PJ~>glFE`8
z^30UJ9?U1{SHXa|lhHwuZ2^^HRF$`(kqCO>d&5>0$UE#g%|c?l44B+XTo~x)7C?m-
z<o5>5KX0yE3qe3_-sQ!_J;hgZ3?U!*;<mZJ6;mBpy`IehgoKfX!J9JwJHcR-aj_2}
zL44!1Qt4K;>Xr8JMYOEWd(DF8mE?r&oY2qmJe9+-Ww_Mm#6V4m5RWWF1wANW=(iGZ
z=bghVFY8S-{mh2?+VY-!;9boJPJ#}*)Fuor{M_mO0TXXS?0yb&dy1>k-NGu9S01N>
z?3B-4e)(UjipLwgvLFY57yx+qu#nP@u%#IiOD5A3*`v<scq(9twcqxc;a;F@!Yw_s
z@C|yAV$`-YzTqo{bufRMZL3_?u)9K@=(U$y|0vA4blZD+ytXx~aN8_l?uATYabijJ
zq};+n9%NMLeWRSgce2&uKybQ`s996o_0o~+>EHjoyUH?BZ-YyM{n4~<Yp5CEuqP>0
zNP`P3`V_T?sDYhdjWEjN@gtT!jM>ba)A|Q05oxJRlrP!nu$%hE<PLqTo6ctcI_;!?
z@aufRqYb}XbK0iasoiLtvhlFSO>(^X)l5L;oaq-x^JCO*-NGEF750o~KRt*2Sm;Tg
z&47UFMWGEM@_-VxDWYJ<$T`>c6+uqF<y#9Gu9B5Gx{xOQVtWhqWA_SCH~tAr`6kU9
z8UD937@lIBc^EvS1-`lom`(8P^d;568FoM-Rlse7lnVneTQzNhzRNnE;kc;Mq#D;@
zDPIz2*V}uPmVDCR?R{u-|BErmg}#yD*L!Ql9aoq-yB2tLK@Tm*A*!dRJ5FbAC!j{x
za3VDjQpjV1T|->~lN>43EbLC5lw1wnR>dd@DtP@m@Pb&J=he-|9UQ;v@03)4s&N$v
zHGx)@4#kA)IGevqs|qs8ZEuua9Bd6u#Ki2gC=T|uBt_!r&o1U^VVu-wC0yJx8=2l9
z2?+T*m~oz|b4yJ*SoMO5*CkAxwSZYni{9Uwgzt$=*TdNq0`B{=UWJ!G3*V}5)kIAW
z4E)-QQQDl(rc4kQ+cLhtQ?)P6?{&jRARXnMx?OwZtXr0$f`_ke9%w_7f6znVd^C)5
z?kfpnb-ix4B9dZ=u4AV_I}F9+q_5fAbT&}q#6EId>8b}ewABChdcTu*hJF<DnmKdb
zGG}3D6KvI7Ofb;e>W9Z%k6l|vc?Wf+w^RdNF_T^HAyVf`x2=|pPB~Lc(D>xi!L>My
zaR2>YSM^o|J6_q=tApNkLmbz9EymAbzV6|j=Ca=N6-$pXj6v~Wn=}xS=g`%<wiHtz
zS{rG5G#4(W6*LU-pO8tUF1?24fQY#o7h4?t>C+`nMddcVuPh?-%Cw00BX0}^2B@UA
zb#92X&6xdKpLaT%p2wdq1&1o#Qz;?69;wjc_G7utag*hpa@j3Wcu9MtHWJZoS(E!1
ziS6S6+L*k!xKATaNbC9qFdjoY9G<=-yDn(p6IJ6_Wo{^zv2+)({XXuje$j6*H&Ugi
z?=;q<g&z{P*dhMM7ZV;yDF&)*3%*o)aJpRc;Q8bYNZh&S>Afk0dl8Ytv4kE6zXpFD
zRrOECb1c-wa;w3Rn--C8;`drfY9j4d_6>iw-Z?@6Zt@YQCe1AQBjnq8aA&Bcy8jbU
zp*6g7<oLGk6FHQBht@Sm5Kbzbh+o_Ofh#cn<0N3gk^_#ECZ@$fJi7E%(#sZjIbXnj
zIMR!EQ6|$k5wRKy_$|F|9R&D?xqh}C6{i+QPxP0ri;^`y`T;t}F78J)?vf%=M`BQD
zYp0x7li4rQ8uvf{aBMatw$$l>Rra1+e{mjSDy#DLSbmXP@;%zA1Tj^31@V36mg?^h
z!pvYM+?>*<?KfPl%aY)D_YgS}&|k4+zrR1iY`k7QAZ*_@l9P3cTcoRvAX*EjM$(`+
zaAs3p)CSpgN8e1;JZxCm)T3;&Z%8O(YaA~Oaf7N9G!i^~mRdTLz$zh0GEw7se&~&$
z!N@T@W{C<N<kJ_*xo6JWb@D2y_-<I8Ox8=8udii7T?AKf%joTrQy%rkICWd*MQMF?
ziR{BUl7uS!Ba9Rj+KP3CirjU%S%my=W1c?}%5I$2NHy#}ZCcj_pp$oVh)H6k7W|u$
zi%Nm%Go068tl?CcJGS{yp?YUljr~c-gYU4Gw~bp>WL4EWijX6p_c%Et0R~ybr7c0h
z(n_(ma(^!2S;QHIfh2AagDl-REqcb@d=m}pxfu(sp*zcv_TAsOeK_lj4FD$xa;%)(
zZ|&owzhE*+=%!Ovq}T!-xCG7er^zkUMs1s3;!6ZG6!hf><-wbWfi9<8BByiFhXl1{
zt3B`X4D%%Jr;o{nH%_S{IoSmo!ph!FI}XXJrIbj;Z4X2RtJF|eKE4X>>j_9)G>AP;
zpQ;n)Q&1^0?w{nDV|9N9z9J=AxBQ~x+6)20dKrac(q&Kja0eU?xM;UYS~y$hHHdXC
zE3!pRDyHefj*N487A)4Fa+HtWSsOrZJKMe>Lb}+Vq^E2MKmgIz;gT2<XAS}co)dH8
zSIb~$OD@9w!mT2s&2fS*(o*$DK|1Du76D*jZ^fha?Xi>GG@d}rBB-EZW^#K`Q~bFh
z2X;flrry}Sv_f|gc2tq%^Ux{i5fGSbG^yRj&>pM6nQytpDnix%!+76BmUvHrnbpun
z%i8M!hG?E&A5f93>Y?~!D@sfm(F8OE3WNZY$%=XEn>F*&F%aTFR?y>Z-Q@n7p#hPL
zZ+~1sINmR4{eDLJtyNK(MOJ2gyJfd{_!()JYSH{*&Ay6;UxTO-J0k&;;Y@$N>0p9)
zCYE<2;rZZD!mrELw>d>LTe@-ng49>12%<f%=?H;jT7&`gDCrubHkF392A{I}&K-BL
z{Z_R4L5O&Ii)enWbAoavx1Re3Oi0x*Lj8tLDE^5uBU>rEBaOWP=f;|(udTu6ySeaW
zw+}?1y;Em`+s0bhEMUV4mOe7|T`-e+ZM14nfQLVyfg!)Bb&%C#M7W9T^-TG1d5hj6
z0Cm*=GTb$0g5RE97Xy1jC-c3Q?!N{7e!(h&cIUp6Enh~R8??1bZZA2<X%lD8{X*=m
zu6g(Is%=NnFu+Q`L*h>CpQ~?t4*zBraSxM9ipU5~{qL(O9z}dhf`^Tv9=IUiNo94*
zC`aQo8w-vCwv=-w?0K`N7PGP3)XEI?QiC65Sp4{8?vHUj)*q500=&F}3pMyl1jkRX
zo*fx^>S^iYI&wcQ(}b3>l!U159hN#+Z`IcaGx9qRJo{^@{$z8S?9Q)QmlCk1{x&DY
z?^#P!x7z2>xJ5_XpV%xP%Ffwo^a+gm4oZ$&@+OF9N0RrIPL-Yu_PV~yC9Il0b-;SR
zJzVx9k}1P`UimeLVBiMEB)5F)l}lM;WYZ8H0>NI_{<PdwHDWq>-3$$ZTK@Ai$jJTQ
zOmaaDh<`BYtI;CvZ-e_ss6#n!IU6??laB3MKGNhe6QHNI*B~S_(69NK+x!+qEiSS7
z!^&88@@F0n!~@~b_62OlHPp}y)&Jf>urd~aMVr%c<}Sl<{%+Cwk1ZTgvmU1Dfg8hW
zs)`8#G8a1zf0~PRM%!&$+eL1INc*?Fl_Vet;W50s4W?V>{oZhfcQiw@<83i~NJIdW
ziGvtqgpaoO)|@N$``UhAHq-zoICT<=&9cjC3W?&2c=7HB?tzZK-v_Bze@z3Bk$+zN
zbrY|nRr*NIf=#Jg8XYfbI&VPCIz;m3_}$JN+4qU%l@*#{c`EsZepR&Xe9Zv1!f7ka
zr+5y)t7<nfv`;~J@p8Bba!!0%>;aHm*ugVl_nwuOfjN>lvdY%$fix;TOjgm`9=kA1
zoL{qrFI@Px&L!Q{gdW*OQb=B4ogk!iwYbOIp<egvJ>VO>xj*ZAEP#Z)B`Hr7)=Q7>
zA8nvAJ<7!bdt}&5r`GWlCz|Xz3P{KcdNA?1fqecAwf&?7x(Rn4$=$ip1rvHS{a(rl
zcaxP<=r&5|9~=0Gc^%GofajPEHb7ocd2#5ICqF<GE?VtIz3PJ8;gv!F>qrZ|ch3#+
z>7n;XI#MQWCXr_a4p<Vc*FOg}@wwymD`T0~@KE#a7Jpo2-er`DnC&93c)>zNr~+e;
zn*xfFd5uq3)9*Ot?Dcp#pgK3!4i3(VyNu?U7-nNt2abb6i8~v@iueDc_zlNA3K00x
z9S#&p*vMR3M1@@XMiom$oxx4w^aoB)Bb={z>Xgav+mMZ6M*~5X?tV24f%@Xx%%JL+
zD0KD<$-C5lKHIg0-+U)$tcEODc?w4cdT-^`)|BPG?9cBF8vb=Mkp95_Xz2T@l={Z`
zgsrMgsBQ1me}<LYX`VZ{+oY(Aj!ut0JYXkMgU>z^Xe&;BWSKV?(M`D=C|;v~nHS?z
z16T!BfXdwS$6G=y8`-H8EU{N+4>ia*jrmImpJcsZ*!tn;C-7!38L}8!IN{QpoFX@s
z<dOJ2y00mkI^70S)}@sYBhJ<A_zWhF>7q`{vlQ-bW_{2Mr>WlDnH5<xQKy{ZxF+jm
zH2z(#G%)ZZrLHcQPe_*DlN&IScd)SI;m;N@k2(A={hJh+AhS$t!Psr*CAr_9dhDo(
z)8MLxrD45!`!T_8POX8fz4kf8B{%5@kl_O0mQr6bmg6y^+oTNkin^;zp6We@e`G`L
z<0rZ4>}l2tGW*QLfV`2IT_w%LG{<K?4sLP-wcj5kB_I90ix9h-4tET&4AVP#UYBNG
zDmi84UB2K!b8~~VXpwTB;KZ%{`sz<RU#esu!|U-4n{@5;(x=B{z`_^~t{C4>LBej5
zdKq1Lk$H>_liF)V11X;7%(cg|c@mRiW81p5Li8`82F&tMfD+{AdI|?nK9PMbMt}MX
zW+V&Vv(|r>&eP0|q%Fn7_alz+FO!07pXO9PZH!6GU#2YTbs2bt#_~oFC*9&4mmy=(
z!FPm~L0G_VBvX%rk_8)Hllp3*o(PxqVj=4&NvNAh$1kc{MxwdsdEbMt1NxVxX=bts
z>3tS*rPL&7<ZzdjaN{lLeoek(UgErG<4c{4GP0H8z}cGO#>0#iBg-kvL(>iJ>%;n`
z4aUIFkl0RFabF&RAc)pwIQrtb2Ut#dCioME*8<B_fF9W_oI6fk(1|#&Hqh4q?MYES
zgHlho=4U5z(Z_J^1vpS7<fX|(^cvPCCF~>6eP<_W9s=8hI*lYlqTx0H7N~~)b3_DG
z;3oTGdoYCfEBRT+_B>tf;dp4ncbf}=F}OUQ(b>yG3)d)V;ZI1&n3;Y=)A*ZT2a23n
zjCuVtAKEJsRl>&F8J|6RDGA{pT4B1GJCE@=-Hyv;YWEmVYIgJ2<Kbbl1FUk6p5O;e
z#sEL3wa?V^fNW981-!sIylMQNNsvfnvfw;4B76@%lN4%KU+PkXKbAW$V9*^yFfZTi
z8j$rKMoKYo=B6QX=k4!>LBikgKR42=sJWXncDnsOThR7>i^5-(7_a}@y<Xc<?D?oX
zR$x7V5@>?%AkC$HOg=n`NE2WV5a5V9GICfPwtk@tc_m!7)6^8I-p-c$t}n-y)=eJ&
z`SJML7;b312}a8jI<h_=VlWH$E0HqbS9zu$Rr<*F^`->=^Nwo6%7mnpN2~>Y2R49b
zf5YrBA)e=K9n0mE=qZ6I{3EJQd0ar!FegTvm`;H>^fyTK>LPXqa|oCpPb+q1n{+*2
zV=FGF4#wpSWOc22`abaZpoo8c-UZj}3bO<>HhwS+2LZa4HJvc$pEY+Yj@$Sxe>!MC
zpMB)6tWH0miBV(~Om^ZrY<q9WaA%`GdXLkkD`*ubNoJC~#+|<AxP0u#i%mMc$uElr
zlwO~&pc@uaLyLp$j2&{Z?=P5F(qf#PiUkESCn6iFIw6cp(*bU7vz7R2?#ajCe(I;E
z=w@)e+;ffL^UF^Jl`~QZNptwe6-DgU>Cp6DDe?WF!2JEgaKifPEhrq9lMfvc1HmEY
zRIqlSb@R-we5%IyO!<qC75sjGgxsM&g$pm4L8)Ua8$9y?2Vh;^ef=cyZ7(dw=~3}P
zHxv97>y&W&@8Hsx`^GbGJT&=$_m;^hs!}H888(r26x#baQp{IBVo4H841yS>z}n8P
zQ%=7=)0A{4CD#S{dF|~PepN#3qvC_T6WhTD+zz`<whfwJ?;-xEp9&ZNRR7&b?*{$T
zLEt;jy2pCIq<1lKY9d_0rw)<Jp^o3>Uj2so#k_J8puNK9#r`UF1)WvCYIy#$&mks&
z=I<F-{mi9tM0n}@+kJ$M5d5*IPWgn{KpPc%BkHGXQIr?muW@*0IJF~p`Q`r2@IPYy
zMMsOt20(TNo?fxI8Atp_?xTKkw3Re0Gdz+<fiqgpE7=c|@7_uSBj7_f-j-v)CZ`8c
zI-|mx%KNc71F9_17%2-ll4@hQIz}L0W`P-yZXsye@~O36JQPN-*Nnd`B}4w><s@`H
z)n?~yi<!BL*AWv%w;E|@HQvYo2>FFsd_HtcBn-+ObimG+_yK+ai>fKf;gF$x&QkWv
zq9Uo2!=0}(B3oIL6D8p}!H^a)?uGG|yM}9BzH+Q6YlUJqp_%s#M$Di=CvueX(0n#}
zL5_IGZ>U{C$r=bidNYlv!n@&aG7pV==X-cxjy)wYbR}Z`Ug0%~m()A6l04etQIw)J
z4@petqMUX-zMuvhSFcDA5a{^*B>!{xk&mXE>%$sDgYP>=8_M70>SDBNgT1EpHJA&-
z>hWJitDd#Z5-yv!SMUT+beGz_ZEnd{meDq2@9ARZt7_AV^jv>P=iF5E{bm1UY0dYS
z44$I9WKChz5nXwlc$x1hgAaVZ`t_wYp*w$(9o-23z<8Spo-<+C)ot|IQa#(V`mbmE
zO2n>Z=~t>9>Z$DLftieILSOjS^x}LQ>z#kaSNHm*yv|E|5imiW%!oqa>0R(kOi*X+
z1^UfI2;#89Mvu8)MaU;H+#XHM^*x6Bdd2%^Klrd|1#|o0-@j*GcJO_$;g2M-{aH4M
zeRk}*XE>7LN3@pC)%eNcyLHDb_Zg7exEH0!#FdfFjX;v;lj*|UTpnVQsg?~gc-dcz
zw5auxs<EErC_rN;C&b<W=t^`#fS<crBu%J@X*DCPCx-WJx0>_d-Gw<pQp1!%(Vjjy
z76<$9a7qOx2ZO(0koMEpo}YMdHbOO<%-rd}s$9THu`g8HO5U`8s_!S8mVXyW50de-
zw$uHHkkyr#^joxug4sI<L3svMuVdweb!yGJkv!t*PzvnUtn<Yyx{b^aUI?V_L~d$8
zZ`H+%P=5@+)F&?g^lgY|lY?Z6=~q2*5qL!l+-Ii4=eXc6Rh?ebv8jg8(DA?&7~s3n
z=t{o>;B|RrlH)ROFMWFpEO3@Ivdt=5gymr*0t?=B7@gTCs4S$TR$IL#gmn{5bR5}a
zQ+B5o`0GssyP|J;I3BmNR9-M^#(`(EZG6+Krk2&GPoiiqkF%WQ9P*n6L$rmvhs|{9
zbMs$SH3J>#|1fc8X{hOl6DjyjNzB1qmAZBa2cy`dBP(@@(+4*Rbyn$X3Rm#fi}L_F
z<+PFww=vAnzj3aLEiS|O^t2w|Z_y=opcsqEadJ^#05-uq=_Q_;0=?2bf1eKs5U3BB
zs5CKgc1ez<tTGuL+}u1xnQJ+Nxp2ix3$nYiuh(1o`%Q-VV<@w*2V{dM_$rCd1gI3K
z&0!$It;T0bTCyQPPhE?Mcf7<j;E429zfsh1pCHOtP7dJ%bjgSk*|Np6_or7v9y}Mx
zpDi4RiOQ$yed`uzYan6p%zYLb<ngm*=VshiBbkH6K;Ym@R<^&PSmTAq74pdoRbd{w
z_<G?UKS{V@*<eTfQ}}M_QlV;ptoBr-Z@9o1E~+&c`ZNMv$ud~LK@VrE70RhxPEDnx
zRd|v3Q6N_%A<Y)9`<>#0p5uQ=?|dskp2kX{53-E-@mAP13!$$~Uy8Ph&qcFSGB-)H
z7)Mub{pyr6lm0z4u`wSJKCdwF&`=v`=b>H2eST+PVf>++&2er0VFeK)eG{AI`Eh|X
z?^fd=0;@exT+nL2ibr0$wKR0fd)~f5yPPNQzpD*D_%40dI`g9>QbfGCMdUrC0xtsK
zYm`q?d~%;A+PpA13i@uB%`tV`5p_z1<1<H+I_GFLA{z9^BJi<ZXK(DDwv{vBC0Uo&
zdg>BIzB#gs{Z@g0EJw|A?Jz9@UXu1U(1{<SF1O|%Xfh&cS~^8KlpXi`$d}4Z>o%ml
z@&X`5DLzFhOrGjue}=iR%G})2Iz>L^LTs#O;bxy5n?WjyF&%sXnfp$FKRB`8-N&jv
zfdh%~9Fr<^Alo9Ums#3C<~nWOz%*3N&o^Bhln``OQ|`t4zu2@Lud`@m+~UkSEY#LS
z{%o71iZ6J{(Wm(t$mQ$Xe4e9$=D#xJj-_{>aSc3e$2dShjghU0WDp1WpO)wo!9(Mv
zIZmX)tFBaKfE?4IE@XB)X)uhe1wtgWh@@D`h!#SvhKV1asO~uc(rn^~<ouYy)6+E@
z);Buv95=F{&lUw?eTKgr{P7oB+{sufLWIqX@%h6!9iSs|WkC#5fH_{q)BB_%v0<!#
z;7dM@c|PI*rH)Bh|4hoM^K_Ql`>&d*TeNIa85_IumreH>`4{Y-UG}%(?|Uh4JlhJh
zd-=fEhrqL^)m|&^*r6P9xMkLM9c>jT93d+VR&HGTq;~1xdn7PU`Bsie$C5jklQzxI
zIz(!YoI{2LLW_j2=qD&soCCKFI(I^T4L@WK&O+!*^EOafm8Bi^Zp#5lsXa>Gc{4M5
z_&U<7l@u|l*4a#3Q7R?mSi4e!R&mJ-NMt~QzGqa7J>~erQc?62lyDSCERQDdA(A|_
zmcBS4jOQl_Y#nvUnHr0hkw5p0^DTZgitsOw{Y*p?)yV{jnl^Iuf7Ls3S>a@2k;5$e
zdsYu|l^HWTgEfU8NF?c&1vcW3&HZH0)J9h90_)(CvJ`ie<sq+k-L)Gdp5Db=SW3I9
zwrvvWtok#`df2nm6L(cU1?&bpdDP%T_SsjYfXQ-v7%DOiB@PW2(0SDl^Z}POPw&rF
z?AlN=(khC|f$^l++l`MWNmECn$Hed9v*Cgt;t95|ILs?psTH5U%(}<&H8YjNVu^ux
z%_sG=u)?41>41QNaL&E4gPMRB&~fHVhQT2Ihuwdp3|A56X5%$B-+>lsUq^l)2y9Mj
z?GaJ&51i8Dki*t(BDJA69wTmCqE3P$&v?2SursD3E<$5sM8dC`Mi%LRs$b|m!^06k
zPo0oI<~-H`bi*e!<9i~<ux;<Esi2a(6KAxTWXiVvsRJFSfQol78%b`omb%Og&H8Q}
zY~Q*PNWJ^gFJI2N=5564K(n1hkYpMquzDo48X$1U@)Qo*!`|3CD2YQ%N^3dJX@dFW
z>u%2f1eL_@Z;H-CSJe3~sj14|FqfiWBGoorrD3GWnoNI)fK){m+S<N3ZY`>Uh5G9F
zJ?m&dYb?z!(5j2zmkbbq@hlD#o-PUnCtC1D?t6Una@dxWo4+hRTPbEq;!i50;5d6u
z`gI$GX%^IdKIe$uUfN{>MXL7Tb)E#YP;$fA+<lIM9&WaY%hcaaO%3mrNU|=h*0(9k
z!!fK>CgG2K;k11h=s^ym?jfeWGB5`uo-3=4Y}*0|;yLh1P&?Y(Gjx?|clBJ#Az0#T
zETOu$6UnYceS61JefNjoZ(N`+y*K+2$F~<cg&nS%6nO-Ym4g46;Yb2yhu)n$Xc6jZ
z@n@9HO$<e`ti5e4*RCtQdzrNUc=4U0PK$*YNKnhNxY#m&OHAyisyTcSAK_0k=$xr;
zwY_P*be2xnP<09K&9R7GCP2ECIJ%t!)e|FlF2$MuJ(rSM->$Z_zx@e&UXv<?#d&;R
zrn|-CMt}fV_Ff7-$|Qy6gh=!H1W9P(c#3TvcIWQSH1^MrYb<viOHIkX%6q8a2$Yd3
zd1*OY_4Z&cd}X#uX7PLgwi2fOl8zv^(UlQOZoffG1&2k}ptGoEAlm31S{Q731qgiF
zQ!46f*^P8SPXtkI6Py27*ghmyEoy9-VfMTK_5EIgiovim|3=8v%SVcpXO=@n&+DN_
z1brgGWGHWnnR63(FUY=kOxtNs4RhxeuhKu2ZG#<uvv^M{xK%*id0+#d*4B5{M{`u~
zMi2o3n#W0LS&=M&eZaWVtntN4EwrC|uW~?Rn6kD&vShMMd9w=(BjSoY9Fq?$FTEUi
zg-9g#m{C$Ud-IOSSBR3!VX_SuBs2D6>o^(b$xoVkSBvxst$a$kTv8yS#W3dnWTM0X
z6(e&O4Ax^yQT2R)K;Yx=;4x0ed@W}V@dW1`xht&xfE=6ei8(|~b=3ppKDq`c`LvVH
z9<p8VpQ?e}8@UaM-fGX>KdWj&IytYi`$pI2T{}B=Wf1|pCJXgZ{X4jJLRgn;x-+g9
z45?ndYx%|IPKwPX!H_lK<98jh?_dB~I3I6n$s<1N&_fj5bfb14_~Q9e=^q|cAa>mx
zp`J6rrLJfhZ;1+>hA8C22-**?w|G!tG^R?Nyhb<!tfZ?w0c3xjy1i@Eqly;{?8<1<
zHV>YcpL!?ge%c=RJhq2;O%~YP+8nVL+Jg7RiV{#?vfJ}gRi0CFzT2wAWnV=93oiTM
zX$;4>86?D=D)4a@hZtQbPxFjeYSRd?ZLYsJ^sUe9V6KsjkeO@c9ZsfuC+i2^Wac)J
ztw2wUgyGq>hk*5an}|mJX=th1q{ccbz1;`Dj758MAi|}2)riY1S_-M&TW<!_dTD6H
z6#Kt5Uc5a9iz-d*;A8Uo5Gs5N-ws+N9RCukS8CoJSdz1SI}N@&zanDyA)v3XU4+t~
zUU=|X9fVw>l0h!|OJIdn5>L35qFdYPqpQH!dx#}@Xmw~qv)Jg#$2Jd*Z~yfocr)P|
zF`913Fj=WlN0jA{b>QNBWjjN9M*6*MS!DA0#kV&MY^weqwaV-%`|JL^d}459?&ug*
z+33f^rFRWr@x(CNOv_hwHQhNai||(uYT(z2B{(kWg&B5M^+Y2NL&<SGKwvE-5NFFh
zBM8#qg+~%Ee&FYtxF)Qgjb>ce;OkEZ#ChA9($MbXyPb6oM?;jimd(8l6GrM@?De5H
zRD;=oE=$wjb~Owvw_I9zgYD*|QYz8X?2%);5t!-@o$BqTmMAd&iC-mP=TfF;YCKT!
zx`O)ZuQr21342Ks#-1(nsotzINcJ>+bayT>Ee`V;00<hK8^65V+k2KrhbQ;(7YwG$
z(|I{R#U{cN+@Pigvq~avpi2vPq&4lihfvu-V#7+6=6R<xG<BRX6#2h|+DwwIWt~4#
z%e09sjNe#u+5G%Xj2%3!1AK<qN>W;cp<lxWZnei*j5bMoM_bL0c{Bop8rdcAK<Lpm
zh+w!@a5)JrEiUvECeJ=DQbD2J!cufBn(+fT{SGH&OU=Q4Xxcm#xJ(S1_CA<CPmhal
zacu*nSeP@t9d=_zw0<F#WuSkpnyMDM3{#4I*GuX1!?cD4Kc4J4mYo@C!d-YmF?La9
zrXE1dJ0^tVqx;=1^K4yufe8xx&;8lD+2}Wj{}?Zar3q4F<sjNmVTrl3b&?~I2ZI9>
z22T<{^YE>7*r=S(@SmpmWekoF{{GVP-GHjm*UsatF8hCGe1ZRy&O=rrr+{{zaz20I
zE<#cf+Wx2?{(M#BQ3Z^ihbzpH<}SON&Cv6Ydv5lnw;nr|-pNj#`iihC^xevIY{FP=
zePNeEm<2W74Qt`eoTAELMBP9&FD+whDZ<xI=>G32>Im|D`VltxI+ByRfSpp%@z-+b
z9wDWY-0{5n9wt6}raf|DD*i+J^nX~bc3qq=4L6YCt{=1_Rb=;~!SqZ^_+v+Ppm@an
zV9~YXi;cH6%*4vub28_Pi9TeO5xw)EjUa$h6t1W+MK7&OzGipcaV!4s@4r0vpHWCV
z?c86J&T7)G5|DF+uTl39kY|hLMyWfit^i1rkqqOV{iI#~HpRe0|DP6+A<dB)SthhU
zhf9~mIinMi8w(gWZ@D#pMt9!C<UK%ksKA3eI#12P#Fb2YS;KXIFMJ&?OgKmN(VF`y
zWmDlI?xQ!u3}>j+Qb1euptNq+8pL6qUh0NO&<Nb5p2MNEZ*HswidoGNg0Wmsdc$p_
zF#1evI@SyFR;&)8V=Xno#^z7N(<`W_zPkO6+veX#u&c+dezMk*(&Te-Ozm!aEJ2^1
z(_{dxk0sp37I{Cavo))Nxh%d;?G2Rmx<1qYwYB+pD9@ieggR6+=C{TA#;9vvS3Bfa
zK|0Gtv!E`pf>K^JB7VdBzl;69K&S9OB<TMIeggC5=no&#;B-9O?h>v+ACq$vjg2T8
zL9oQ#YJcJwG-JaG$WD6>9u-SDB1Lwkv7`B3ErJp9vshI`eO{=+Ds7J&Q-5gO1}MAM
zcr~EwxPzj-kEGePq060;IhxC%H#`^6NGp2^4?-T&rF1_ug_SRb>dEr7!_H~9zsiX$
z3_GDTGYi;^1C9zW@br{A+jbV?-GhZ|Om@gGgYuQxpER3pd6yvT{l48rD5<}vr0$S2
zXy6T*(j2D~V_%6qz&Y;gZzo=}^5qd?ipV{496Nh#54iNm`$&cTTMN&op*c~BB#2*X
zbL(RuZ`BBl+Q7@ItzoFFHf`^D?9l565zbP6tK$3MUAIKs2)+<cTEgaW2=J|}4Bb}p
zjhTOJU{J2SQg<c==p7!X2@(%rchi8|v8jIU`t{hS?tD~x7bw~HPaig7{ru5{m+6;f
zjN_^!=p4m}EVq03vNH+i+PF++<9I!P0Con2LGgeONRB*bgHxxs%Q2w`WNxhQtirc+
zEV=?e(FyifJ5-<c+tbrn+V(h`y*o2*)T}i3M(ATJ9iG&DFdn9^6p^GLp6h&)Lepyf
z+2O@Y(z{pmmwbg*1rfUk?#`TsRjt1`#Ja7VTd4k)*q|Qgh9clXVs?3!JzLK=Nb-Zy
zaG3kQ!(gJXeqxfv(}&ak>;TQRpa*oFAh_ivZ|QE>+=!TnijKtoxDY<?xWX}tsE=m<
zjF<@pzDn;dOGdr-m_rdhYXQ!08Xv%LA^{eR!THNuEl}<`jm%qiIg42x^A>c2$~UD&
z_2{@cBJv*~U4}hZwe|PpCsXKGqLn;!fp&M-ecKB?<v#)=ygD#iq(UpGpq-tmssUP?
zBOSP9t~V=F^mw<eV`AE-EAQYXZY{IQff+V=jM?Is+zA62nCY_ns^-Tf$B94AmXs?S
zAS_YFMsKZfRG|;N?&sfG{$p>=TPy@eQo9h%0iOc#%eXQM=b6%jLAcJv-0J+t7S-gY
zfIyy4`AMrh?Og^Z#uAV8D~fM(<X?M@B(@Fy2g}7|I+@`DmT~9#Q+Qu-@1Je)DURqh
zF*mCN73#7*EkVCLj!$$)$?FHeoNdPZH-AO6vOnN;#WOv8Jq+-le0=XZM3vzZxZQ-l
zb4;?#@a41Biy%O#PB(Yk9Pivlbsn118rJY_O+x#7%Xz9re~a@x^?ckNhi;1A<^IM1
zbY=&8zP{mG8myPCuAonO4f>SOh{arylU@Tp@P>IiG!gN*QD(QhLE2}bB#0Na7F}Y~
zo5Mrr6{PX{80WoZ_^o)TtG$iokaipzz=PFBzm1+Q`PaPEc<ue`@xC@)03HGJYbe!n
z_)b9nsfByD41;YLSS_X3nd&Xj(S_2tnr>X$3s+PA!O;4u|MG+gfN~%w0O%}fFgsu)
z`CMl)9mZy=>CC>j(8lnCy<1R#n!b@r0mn+M;as6F;2GZlSxw;>yHZDck%`7S_?niB
zq|e4}U*S6^S10(XTcm~)Aj6||FeRw!qxUo55ezh2S1sV+v@P?t^}ymvd_i!Qn8)$!
zFL$a_<({TtO&a4g)mA90%|EY*hsKpH7+ittwlV}ARAPrNO`Nuy6QMN}2yAu;a$nzl
zwnzBOsw_O>PdZf+P188X;1!S0l`9~}oLwNm(%NWi(CHv^-&>itLdfhDG3Z7bt2{4D
zu+GeB=H^8D+HJKnxH#1$IjUDu67S@7L{?GiH-@Sm9i&@s_Fl<p%+7!k{G-(j$Q#Iw
z#4%g~i%;lZL#x|?fBM8OcR|Yht-__3;3Bmtmb1+20ez|9ATsy3kN%w2pxJgm>!L$T
zWA;+ZE$b`Jy^mPb8R($IngP*WC&{l7^=GN&`T~8nK*|SH63^!Gv)1N!9h~q``nZcJ
zG<19P1|sr-QU1Y4KoFV3c_&#X!+8<c@s{27cLA*Orx;%bp2*HLIDva>V`@H2J#cp1
zvF?VraMdgT_cl6@2bj))UMMSut`f?1%sVR1+6M$~8Y_*5wXMz5E;><8W+Q9!e?`4z
zf2|6;TCBQ57TBtOH-vKvmS`ETmH}Fd0glM!K7G9q?BLO5jcfDo@-V1h6N+jNP#4cb
z0ihy<I2WyvGrT7brxs{C{j$G07&A~3-)z$tUr}d4=R9S`QeThZc3K9uL8bhRnF;xw
zC~Wr*q%~w{6@Nx2cwE{!b&if}U9gQ`W~k>Gmr!Nm8_S<CnR_VOm-$C({d%~@I2bv_
zk^V^VM2WC7zfIg#l&x#K9V77Le1A%tlJY&*!Cp$iogjv!VUcPR*^fp?<qLD?cMbbn
z36a<;Z3NIG0K))@W<$Vf&$z(WX{d)l6Ev|ON#hhrR9E%M!Jzj~EYMcx=K`lIbJ@y<
z;#yCyX8dG_#I{kD?Zy^=Q<qlA<Ij>D@JSByqmQ{1%Y@Rq9N2Xh-NiHcE4MIXg6xzC
z&!VSHb>dA!J<5)0xTp#un-{*i&9FZ|-i3d9)FD@NcJn2Ij0w(6K6>Z$+JyV#1})-4
zW>W#u>Gc>VRSW?*J#44<+u_2e?WqGT3Do(P*~(uiJSW~&l`@szq__RFUrdR3Kkum;
zTgGyld*IZh`o5{uWOs1trRZV=M6?+(ln}Wi*gfG18bHwgi;o)tusl>F7n{X+d&Xk3
z=c$~*MX@xcTH^nX@Si8=A8G9YcI$?3rt7A~9q^J*Bn)@Mv*iPy0X<9%K{wHqx0ar(
z#~(!1{PLZthjck2WGnD@jd)5}V+_RBgX82Cg6kx_XvRh?PkFGCwb9MZf9t;H9V`y}
zDKQX4aTyoqtlOz^P!)Du6;#dK{y@+zCwx`|i{uBMPc{rNIV*UacV<eq97I)gFp_)W
z(QaPZc$`yI?`_=;9$;)4J?3HzJN`!@{VpVO^jJUX`D8~)E)!TgM|1KE$cNr;x~QfD
z-cnmzMwSFo|Md$SaoSBDLSz2R;s3aV)fmCyh~D2k`?D9A_$wWqa!($rmfe(p3n>OA
zM!lN8npMX!Hx9j)mI#(~GaW|rd!ycC#uo2%2a3ArWHs!28U*_E!gw@DRfqsYErg|a
z*Ij<MG*!p;7iG2d0)iZPdkhOG#4`SbOeB(|HS5uit2{j|{hZs>d<@I0`~x@0{d#B*
zbhPJ!pF9#hCN5jQgqr=UY+ux_0}lZ2QG8X~XtCNhbE77xDh6b>4*Ar8CVOgn7!>L&
zWRKE}+1i(f%LrNDz`efN`GtW-DEZhK8Ccc2`Hjd3-*deVfxGqS&b7=5Qaj0u0IxA{
z!V)-pJM0{n?qUSE?+>Jwk%<kvD8%Gz$_Me$|K!7(40rXSYj9&mdd;;<K#yVvJzK!z
zJQmsD(%w`7n2X^eK><VFn==aV;Mze#XyPBt$TVp!hv)pq+?NavH1?L8-9rhSHRV4!
zC~PuK&L?5?#GnxtpKD5BChaof>kQ)lMuZHf$qdXk?TU7)%<XIM-ArA-)CPL%in>)Z
zV7t2d_GzDkOqQr4+`EP#s=;tB$?<#pP&yqlN+J#9D=7mVH;Y=6%{v|f|J2=N)E9}Y
z3k6;-Az>|n%Jp4G;R3%2j~qD_WwjG8N$CpJGcU<0pcF$2Qf(M}|D^EMg|y6$&gd3U
zm=^~uhhCaW9s>lf*GJGlRq-;o9$hohe6z*`-jDT9@aOmc^E;V2Q|*e-MiSe5c%1N!
zMlT1NpzSuP=7VI#_8-9T>qNd#*R780Y}O`P|Je@6%k}HEcZ;Mqsa#%i^K1_V**kBt
z)lO~TO<8OH*cONNTpcfC_AgtVAj|v&Ci##0Wqw;_e}FnO?0EcOu3sZQ?`{2j7c?y)
zl~dlaPYx$xLw;>9g;0(w4dR52heFcB+cTbrYt0DF#To*npu^2(N9YDICv^vCu|cmk
z3)294cyWFM0Gk8bo@waYnsO<4Xh>)mr|OCt`7zCD{kBDd{v`kK#q((T_{W^gWm|<!
z$ro(c0$Lz=%#O;E!zxmm_lHR9qV~}9g5#FgyR<f49=y1Y8!rtj$4)*<^|jB44l5R+
z3yTOAkQ(@V8s=Vy8Myr)2)+JllLA?TKbe82gz}G2D(Kt7+$D%K7bPsO$`sC1i42=h
z{B4V|Cg<EF81-D8S*f1ey1%J=Y#$NGA6%oqwW(BwHIU>Xa7a`q@o$uk#|6m%c`v|E
zITfsAIy>!~f6R7V50XF4!1}pUO1JUth3@dENaLfekDt0D=y^x@4lt_0Ph<uL)n7U$
z1o3~$One4Q@mcv&1aWP7dmAMY%m0vXuhMJ0{`}{&>o$UPbOAu&55kH&fr{^mV3QqJ
z$^Gz9Q{6$U4$_skLYJu<F=}IHdV?F)1f+cp1XYkRt|p5l{Rc``Y7mp%m(=yY{Ln-m
zA3x%vw1FoFSil`OIf*?wgS<@fp1_~OMV7}8fy{_wa<wbKS_A%&nbU}UybecaGmK%P
z72`yGs#S0v;_|A@<reb1@PLB3=P2k=-eY7q(x7sLd!I}1YRyX*i@(QO1HF~Y^BQWd
zUkQY}3~=Y0a;msj&OcBuJ_N&MBGHO$k4&ghlcm;hyW)*Txuz|udql^3S<37zsv(Kq
znOQDF)KYPuBp9@j_KtScXIwHh00RO(H2?wz2lYy0hCTUwR%(S@74=0ACXl5(bUG(7
z@p!e{x@89nW+O69s0)SL$4#f}<uM?rhx&G(f6gZu2ew^w*pc@&j}{mLyA~<r;UdrH
zp+{XLAjZMqDV$jmI#n#X=}LTntkmT4vgxF`C5LL6UFcxK$YZ}p=qE=JZID~A{?r*A
z^Ej@6+iqZ2xzS&(h!UaX7NH;iL<j%Cd-@nDb_+oFY*WwK{K9%aw(L9+df{MV-PcRX
zDKEAL<R5WPiar0;+x*_n3JxM4`B~IjZt>KzO&c6=a0vP}9SVMtKQqyk@SX!Q77Y=(
z-zM^BoUoy)k=7nCSETW?Jor}5RI7Zg2867YHrdQ>-A0SqMAegyWJd%2fB@Cvc(MZR
z66#t-=aC`JXDLGLtWwzSajyU^uCJZ#>2#OcODI;ksBbdSe${CCF6}E|LX8p_vx9p8
zaUrprS|IwQ(^NY1vrqnpU3>h#&A^d@R)~5VwE@dZp&45K?>zfAg}`(268qvg=}(d>
z3fAMkmeew~l1&&5unX{u?&`(?3oe+4LT<+Zq8bojlm5&tqc0vRnCFXkQO&wy^EXEK
zA1{=yeAvoaY<zT`)S0zddM*5U1HF6;B`)&=JR$<uad;KoK+l6fhXuR%(rZpMgu6j?
zMw0AkjQ{+6K(UWWRN$@9`Om_Tfl{i%u_o+DZ7<$3cF<D7)v{|9r<~yC!1A0)>GicC
z{toL^P3-TDRmp&L4m`><4B@vUEVdYjmu%biY9(06LaByhGEoSqu{Qy8e{p9wSf=Cp
zk+?3@Lmn6PS!>3AQ>j@ahLPEt#zS~{jDaIp2rPcFmfHI&=b<zoZ`kn`)*+U2Z<$s4
zLSfu^uQHH<`ZEOr&FJ+dRCw!2^BZZ|4_OVodMsV4=-@RR(al5kAG_S490dE%ib!Im
zB_h(4Uf8cKJ7dUP{!Rn9N5+l}gj^xK#*Rkm;LKKFO;hUUz*nH2$wI45n+jr&?9R=B
zuQn0bXciroezf4+MJ#0A?Fo5!J5aV@Qj4velzwR*J$h6f<G2WfxMsV`-xgv1BYy0b
zeR43LIZu|%lt-p=vvYY1Xq?YykMYyJvWR)p+-8nz6E8{M{-Y%&I;6pn+06j=_^(MO
z9w;S+u2)`wD6Uc$R+685!6kiF)Y~|yAwyYf`<<`-R251b8ylxP871twANt>cy<4qB
z1n)17594dHf?dV;UDA<0<{%OeJSL?u+s_Z6Oku1`LFVWCJptC%ChmdRhMhiIbRkpa
zx7uC9i#zFl{mEr2axAJ}=LTM^j75di0Rabn#m~W@+WrbaN1S}T{Tb5TTTSRi3}7z1
zcxa0VKX2LXn$&k~Gizf+4F_1I6*DOjSB>$vD}BG`68U%uP}x6@k2st<OXYZ=mw2YZ
zv4Lihx6~OHg0$ITL!sfJOFqnhm?fcft@Q6QQYK=ElbI;ZdZA`AOXGb3$?X#qB0L%9
zVpbAYl2JfwapE4mp=lElE~DC$rbE5OJ4$6yd~N<VS~abV0`v)C=-2#WS?s)M&<m40
zuinziEgvII<51oMt^{#jLpJre@q=0%fyU*Bmw8x<lWi{l<DPN~fdylEac;?O!GK{#
z9Hcs(;(;))Z@mjnWGGs)8EFs-#SpjMNrLij@|dVe96--g*Bgg+INDIT@0T>N$uXN0
z2*^>T4zr4CsZ9(2Z8;oRz5@Vh9bYl9KEMpiNT~{D`vqI5($xVJWfQc6EUz~)clmP{
z^iJY|3sVA9rb6>^R?`!MPNp8Mkexpn0A7<X^|V`#VHXO=b){fpOzebwy!#@({R>2V
zun{)@+2YaJ&(O%Yb&WK+^y+0gk-wRCkW3uIZ12d@c|I18kuyN^ucZK;sFXkh*;}Lj
z?1-Yg)oP#*r;7hfDEq!S6Tt0i;b>tA3#M=@Z{Y(`nE|Fu9;E@+Qg-nq>RQ(g7;|(E
zRBiD^DG1jJkU-FjhD_Aih`#Ic_$&tBGflx}hm{nMpfURP(ytlTfaYRZR%7?gEkS1Y
ze6=`MhI1BxdK%wE&S9cCb<GHzVo(vHY|8OoGs?0x(kvNFR(>O{sw1%%*8ir9tb5<C
zOHp^2l_D+jJQUO-Fm;nL!b?A!^P7AKus^I`A1KsXOD!{JmabQQ*?1LOguP|PBGpm7
z0%}rhsJkW9ox{vkS+0!9>^A3ns5_&{8Nm#p-sAe``wRuw|J*sROLFE!l}Va5-`K$%
z$gxn8tz%m8MCNQvjC)VF(cGSf@mg!AJTOZ63Or~_jQBnf8n7_IJOJW@gLocp`F-$t
z3K%-714atm9)?;e3L;%LarC*uk7O<TuiW1cI4O(dHr@4Nno^``-X04W;AGZ(#j!xF
z0Hu>thJdJKh*J?ztFclRt^*k7akdU)U$iqTElB4>?{Ms1!xa@EYzE~Mstc+9*zES#
zxKuZeZe^8K`rCt=@E3O^(xiF0_&+oEKU2?^UT0T0d(UzH;>c7|=$P?B+31xfQMIF<
z>4;>~7z9%APssahR7LgwK|}Jmk-0(op-g~z%BPzY65RWUSyAfOax#08$Ci6PXipZK
ztwm>d<M3~rpj$jE?s|XeLY0VBDuHkD1bI1kd9QH8fbZ1#@p}I?Vj1os196|~vV*Jj
zs;x4#m#aDNR$zcC5ZE}u?s(UQjPc_9##uZkqLup2ZU(I1KNllvAs<XkR3ZZex&tPP
z8^vZnWT&JWYG68_b8k^o@6!YTIbbdb#tWL&-I*%_bp$AJnU%j}ZivKQf2DynqCj*d
zExQY1hvbvLE`FIl_ol%A035qXe<6;(!HLt*)L_&jdGq<(08i~oJ(GyMmZ07>Jclc8
zj)ZfBtv8z18uFUG;rRB}n=ZFpnYp}_%J|NC5CL=~D0Co4=^_vSiEaL=&)%(8LtJ`)
z3td!!IGWO$>^BU3TDy6xzg(5p1Go7RAN;Px2pd+w_WaLu;BXHQwZQ?0op1&uK9sqt
zRzMgh^M38k4X31ZkX0It<@_m8*i7fjU&y7!VF3kFny$FkI>YtiRS?bz6|h-#xow$b
zIzgTm@#SIWK`PN55Pbla1&%cHJ<#kQ?IZZ%-aX(vl8T~csVq9S29SFYs}f@aB-KsF
z2x8KGx7R-7B&`kv;(U1wZ>Q~#A7}tElNi_BaRO3kFwsD}2>-%pRIdS0nJ94x=G?QU
zk-V-7-@39Jo#CuNa5?0fPBtY+6XKI_q3#P;6km3Vs(uv_7h8PyZnV;jz(^`vTk3sk
zN7>PnOFTE?F!T-$rZW-UiG7XwQDS0Ne$oZPPoy>XT~3a_#H><N-BVOCaLdY8A958d
zUnj7y2Y_my(EUlL;qzr9Ih6u>R>1SvxhMGvC>gjm?aKPeYER|fagfU2iK+fih_3FF
z`~PY~M8<X7$T-ptqr?Jb0Z@+20b(Zs5R{m)(xe2DaF^>`r)d4}{Ab%<A~SjjmGt5p
z<*5ww$-}Ia7OYYr9kJtZ15w{J^>vEmRt+`5dqzMJyx`f}qmA>M2)N2RqplUG7OfuX
z4Wxnvt>C3=mC@FD$o2@auVj`k8hU=;f`r{b7(B?-A5~(%H5oW$VY8K<qy#qfn5-Rg
zkr>WvXGj3`@wY6L-?-e=jvo~2VUY5wwrQ}0LHq<*8ZmKg{tu$N^A%2PC|sTb8Ix$r
zAAq&^IMk=GldHRqe|v@`oU-_o*OZK4!+xZivU28`+|s}wcr6hktJ>X(MrVf~iRT)O
zuCE!l4w<{1O16*P!CTWe0C+<cQh|rMjQ|H>1-is_Efuh3JoNWWOVCnb(~qxtRWBJB
zSyb_uD7uD6PaQsa->wzgG9-{!khzZJc2WO-g>6^Rj)HmHX>CNQ?HoVl|HspJ$5Z{j
z|C6#+_SQtm9w#%|nMKGtMA;ns9LFkh$}TfbWQ6SOagLE=Bzw<uILM51?5zA=yg%Qc
zzxt;hx?b0PUDtD5_brABleul`F~wPNJw`P8v9<K?pEfr|kv+)VImzFGz%BPh#|{)+
zFQ)JJx{;$frGjoR(Vy4sHhO^Xd}4*+SQJYLI`VK1d=+U1Kjv0#)imbMMH@*F?F-@4
z9VvX7WvB;_+m6Z;eAIxywa9=wZs=n)W*sWhZg3!Ho8~3ReuA}569(zAoa-lrkw`v)
zTg`XX1@ZbqoZ*p`KeJCYQr0Yt1+Ig`S2nd!E~g>S&HzyetIieaIxr%!eGf4B2=tzy
zKvyf80Ii;nWc%N`{LMv0B^lgbV2Y^R0;uXu?}ALLkw@5rm=IHoeLZG=)mDKgMBvJ$
zr^_Vu&Vc3+!Wh9o?Mt#951E<&Qn|b?NX?wvEM+bHEG0fk)$x4B7PVOkqv<64C&0;V
zU#L1r%hvTX#Yt6I$d^aw)?;5v!kHr;krlO0W$`1QvE0zKY*an&fvSw=2lOv}VTI&~
zcB)s<h1IiuoWF;3Qgz5NnNki@u3$TRe!&Nx?>Q>)r|@#JNZ<P-%5sWVv}6S`W1SwH
zIV^o_IVQzfsl4>@x%XI~^1ystZhdj_>%F@Hm1R39NN%QDyQq<u4l~+Ln|`C;qLAgY
z^TXMPd#(cWyNHcVA{V@{{b%ekF%*9VgX;WkY3r50)d*o=My^(r{1z7Jj^05F8Ci8u
zyfT0K@pH(tjs-vKAhCm?6MK$R_`=@v3f^@8%0c3$_@~M^S_nqfGW#&45AmXzKFZ4Q
zo4-69bR`JJZa1zri|3m`)o;VGqQZOML+QRo5E~AD-Eqs+upAzJQpkWE!5ZLsEec|`
z;5j>VamenZ+s-g!QFADqo0SdM$cF3J2oXcey22`Nb+~|K6h8+BTk`g$cnVfMko@a1
zePuT&oRh%kg;JXOkg^APO7hc9#dBu=sM_wkwgps0sBna`Xe6}YwSY?A^{@0Yhhp*l
zd_AV5B*4#4<L3t@HZU^~`q{QUj+hO4O@^+21xq>8D#KmDApJ4xvG^tUib&dYyHI(#
znh>}lEUa<jY`zotMJ0c9>0?hBL4EV~fz(Rbx{q7Yj+%Y4SkElTQP(ASjhK6T6wQOm
z7qFDp8cPW@J9q&*j({#<X(v<D{Xw+_(2_9_3%XfBamSv8)uTfl8B@WU9_|&~6l!|6
z#Q1bfd{dG)<>e1zg*&VW^0`03qx9PB4`yVLecSu~Zw^DV@5aM;%Z}6?f*A?##&nW6
zwvyg)+*70adQIOzwc0#TMM%(u65P|cANW%PgJMeGK`aN?#dZdn=N`ruu=Y~75bcME
z?&&12@z`H8oHT5>XMHS}OfVJYF6dhAfEwjKMgIjZ4r=56X**9)A8qh1n*Wyo!+{%p
z6A8)JYoM}q>ZXD0W0mR#aG+@o$HBX?ExBb1%a+uLl0%h64CM>(d3;H{7{*=+tyr<_
zZ62Tb$MdGm2DKCO<XfU}8v3i)vnA!%phkD-*(x@D;a2V^x2(z1@&JBhJFj4HdAw<9
zi!ZX<>8oki!(mVS;K*?9J+r}>K7N+S2+@B-heH7=tt(yJn;+Z=G|j7isQYVJS~lEi
zHWXU^A<BK8x(AY<pi|awpE2%ZEq{BN`DZ<|^I&6Fex2h^<Q32|Z*^Kpx6xRVQxCGM
zE7Nzogn8H9d2jRW__rM-ty1?VgE*dVb_0(vn8|T}2HcCsy$P%14;t1%(Q_qEGj>{8
zICX<hBPdv>3)d|;w9T%8sO()=u-{p;lf;47!&+4&(vdi2sYG$EWxc3U6X3Go*b4sc
z@InYI_0v3*&r2ZX`?DWH#yh$hTeKkCiH+yY-d&s(4iSsJ+q9xp^VsA?D_jU-oU6s6
zy=YUxGP^!c<<_^6_wTqx&CY5rzvkkr>L~6w9gNE;@z!^B1$}zaxvs6Js7Ej<?2mmw
z@niAQdF(whZLqbW_*bBo?go6jaoP{ynD+`}q7+?69(9XOt5hm3H0H~T3}m2zyBF$1
zEwZjN3Hi4R{_C>$9G_6^JQld`ulo0-{bw=1#4=T{u=)lv{DxbE@$5=Qa>%tzU_+f0
zmtHzQR6SNw$hyNqGs77MiYqt_r^e9>m<F24tPGjW>h_TfJL;qc+o^vlUpx)mV5KGC
z$k1{fz#UAhClfe^E*ICpp?~RbErJ$K>iQLU#Ns3v?MN#{uzIkE>|nBk<i&@2()n^6
zf+L~9-DG19mCB_IRtKhz?JMKO&ti_b*;1*bLM6omYS_VTIR*K!#FPaRNPR^z_(u{F
zk+SjV2CXO?&Q%QU&``>vRi8AzURdQj%7Op&MP#g5jP&NaEZ&p?9CpeERI^mn=wH9x
z@P0O^T19Bl*DAL7P?hsTI>mV)=SY4uK!9?<i%2QqL)*Z95SKFWdvDV-K6wksEl2i=
zizDR~YOnh$)hNjiduHkO2^iC8C#tBGYisF%Ldr^-WyjWGpfDa3Q^(<K?!C>GWnNJE
zM9idPA1l_9vj4pJBJ*e=LmNXu>lI039vYe&DIMX^Tz@b3tWc;Wuj`HV+<&ZJ(7FnQ
z3SSAwQ?H9S(ur0#bZLn;9IAF75?+4J%jez&b1d*84rX}?JanQZLzaaM-0t%x_tcE1
z<Xi?w%&2ba^<1G{fflR8xL79^UEVa#e<v0HQw9^&vCdhB(qUHE<r}n6oaWDGef0+4
zyLkDg9RhkB52{9h65>I?pILX_CIa=ihkYP3uI6D4XtDdj!&-3hz=+TnY0dG|;*b}Y
zl&`Ahr<F^Kx)pNr>6H%lJ_7pX#-w)4cNO76lX2kV%&>yPf>GyDCE>bxQGBn};nhV+
z5v;V3SavX<{p|gE1%g?7y1(K_e<-Yv*&BFE0N#+3^^8~WDfKGcx4_)PGIre{IK(Q@
z2s*nJ%t8^uka@76#p2u{R7=l!>HLdJmCPH~>Rfa08vn#^djBis&ItEHi+J_-Cmre|
zKGp&5oVVl0B^o895A6}3A*2|jIi_eQbx$cQb};VPBf?(MPUURlFn&taP`_+XR&Q^f
zL{#pUO&gv6uq*5x_Q;gR?j47$KSQ55uME1ccI+p4@mEr(7lJn5M&@WCsh^>`0>o00
z6T2JWn!AL2duqJwAh&=x`uVnBG}gCs2|D!-#2XLlMI00@1Otitek)J3g9b7F-Ssn3
zm+2SmieVtuzS{gGa7lc9HkstZ&fEEn6-|Tp6Bb-^Sext{?0vo6#)S=Or3kz6_RksQ
zL$2d=Sk;S&K6vtd)8gWo^J0+hjWh_TH5=H}r;i&G!PB3&W)(emho;=Ws*))^#4#vv
zvx#=y>I$Lmvvqc%u<=eLGjL63<`Fz-d8JXH`AYf{)g*e6YAdJJJL4ys-_@Er>^x6J
zFvvfcsFqaA+kuQO-yapN(wQ`Bl&wxBB&(RYWj*sy>q998x`Yl|r1Tnf`xN-W<AiE$
zV9io!#^(f%Z+P`MH}3j_^k}0z7K6XSZ6|3O9`WN3mWCZ}V&oU4XQUP7X4-mDCPoDX
zWkZo#CasvGw=6#&Bhtfw{?;`{^P9S9F1Bq)J!olz4X3Mx`$X1=k>KSRsCRU5d;t@X
zK+!aIgQKBkh!o+j;~14*rzAARBvB>H-n%8RQ{l-yJd2hrPz45{i68}5git!k&0e)}
z#Rn}>dFc=O*RQrK!u#)uB$Tq47Od$z_BHv?cFb@7B(FRg>^wqUxd`!3w&G(GF?8`N
z_Kz4kbp&-@4eSfAi6Tr){UCmWx$<?LBIS)MxU6tI&B5=N($Aj@vN9FD)dYfDm2*8=
z=<kq2$ylbqWDM)WyP@lnD3vF<?6eSbT2Wt=1?M)OU-FjHW;rVKc*A^lPJxh6pTch;
z%JjJIkfE<@OoyyeG=ZOB1R$VBq&voixNy5?L22hLtI*VNx@l8_rwE;8C+M-~l4tXk
z05AbYenh-_PE6rcV?HmeH3)8)=^wlr%db$rx-+2gq=5d*YJ+*+qV<Z=z)_F&4*LF>
zvj!QwAoSh6r&~gcmQsdw+4AnKKoSwWN#1X5YGP0XTlCWFdc3E1Q{wSLjCZH>ZK<pC
zY2^bYBqT$R?`{4#oRRK#o;h>JhPjt^kkOH?QCF|%9`IKE#-dfSQSNIYW+9l1D3Y*;
z`OZ=UU#anUGeqY;2d*|m_@WF>BUtefJ^X?)njT%RJ}<T#r))?Kb$^)Z#`NKjlzcya
zwiaaNGK!33nz_x}x5FazHkUf~k3Uk@#y(qrmo}=XCU=Ev4=B--=L1(??^k^8@opxs
z<70bRe)86ki-e<UIN{}h9FG`|4Q+N8&+~C7POCn~z=BSx^7lsY1_oJ;NRe0?jyo1!
z34#4o%n-$M#e2E4->^N?nI<rF1Zot%9(IP&52Ywh{He7reljk7_1kSvN^O$W?D3QH
zaWik-xnBFGzYj)7BV;K`30=&IbH|<<R%hzox^EiUR?7)p_A`0~tBw78(MO!K>{;y4
zN3Va^HIzPSJuTm`1xB}5%5=OhNN-}*##1T9(dE+C_hNNAb&q0<&FPP5O`PA(x~v`D
zCmWPDy$o933!jUmxrpgihKtOcw1LeAsS`r+*eJZ7kpb@19Trry{~3e^hGo@^7(V~U
za8^~$KYVM#jLSN9N@c7R{rg?oi`7*olF4Xo@JGY<``wFNlaP|7*OS~8^(vKBwvudM
zF|>eL>uKjJi>h2Ws4My9rcY?C(J-mdloIsnm(2#to1N+YLWyYbI-?kRRSYfH{G!J}
zN-WRaiU5_EAxq(EizX*p+0o*@*z6WaqrdEm*k!_@BX-vh3b)gogB@k9OIQxfcwXbL
z487Yovp5F^zSU~&1a?9W;-K3E-D6*qB8(AYA27s3JyC${4NP&Df0jZIL;?fFBM=%Y
z9JkHs5~t<g>?4!uNzD5f?Aoij%XmDSO7fw|27<!p;b%sr?+2DCJ~R2Io(~tv@^2L_
zSvLJ=3E;%MTVkRYXZyU(yIyJRc8^#Z_`=4bBh`FIG(7>%dI@d)BXtLU&>cP-V%--L
zpV#;T^+sIlOKoD8Y&)=QX864Ldg8AuyxLDc8a^pr6v(K?H}v9Vp)hxGiQ4NKyo&yA
zQS>vZ<BYAH2}P*Q4|I<Vv@Ci%iic6F;PGDnM$~Y-McPJnscvlyPO+38m{c{tqJiSU
z7%T~AKp!31522%r<dDEFRm}c3r4FGYArr<GtXrmo76`oE0-TDBw_!ENr2`{inC49b
z(Gfn36YT=X;MZnd`i+a$zw|2Irg8t%@AQU?<Y3%l=gCus4q0x(Xy>?)^qxZl=P%|H
zi-pFXcj{6f{|*uDT?6@hS-Bj4`gIapHh47$ZXO5i)JyO->)ukxV*;Sp_Y_*lFB)kF
zi7q5vJcz89V<L_DC3xFD?}=pE-Iw{m<JLWhS2+TXQkh6np~lDBQnf5HTQs~gUP*J~
zH8k*kEytKQg1sakOj<pyUt$<fS0dVi@Y3T|vrlrFjh)*ZPt>PLyYG0Vq};PPaGvQu
z;w1mC?$Tal_a6?hpud?Ede^vx$isy}3N|9`5UibnwmUT9mQ|CCH5Q>PlRGtrSC+r2
zJmF(Zz89{^48zuG^@)Dm$~8a<KT23XMa#dmi0%>Aum`Qn$iLrd*FlvI6d$igHQK-q
zy3Iu_fT2gHA_2Jp&&T!9qWIcsdBZEFRDedQF(T*H*&v};QtCfxYnG9HJhGO3r)o*^
zGOU()?p5^2&OAeJjPz{R1FME$7COiy#$^wq4RPMmXb`tlONGn_!2vbJdIL8IHpnTw
zVY4l!K|+=gep)TBy+jgn|GNte+eXY579M+H!#6Ok!vR*5tYJ!@UAjyHj5NRjG(+Om
z`Ps<GjRrn3H95Larga;KDp2J=>5$K3$#8C7349pdRCW_XL*m3+gW#hoeKNCit1t6Z
zh-^(e=5PL(H?#RxS&4(`KcAA0t#FpXIG(ET*42yHa&i5Kf`?IOJKrbXLW}UdqYS<0
z^=Y$(Xei97_skV|=j|y<+A&@cBJ|WVDhVx7Ph#q767kE!8_c6}RBTKb9L(;mD}umS
z6vx6cgr%b7_lMq!mQw05dDzp5My)s4z$9H^o_kA~qYbVZ=H)$?w?6t|v37!<S<x2X
z<|sF{5LOFgubh4Jqq`FvqfB3gC0hy(7GHZVVFTNXeoT<uW#d`YsRxFxm7&WPh=T|>
zA`n|>y!mce=};u@AJj=wij*XPw?J#<D>t@yj1tK0-_%MRe>JS^dMNlW#f<-nB~0wN
zbAY9`_YEHYfSY!Sno<>(MR`IIdQWK(DOSLE9}YmIf5*}DQ9?}>9mKSirZ;ThHpc1o
zKz53l_HYLMaC0A(_8d7XgbIn4P<b5^to=sGeWibqx;j%kVE?6eP*P24|Mu%(a*U_7
zD_x4?)iPCo_Wx=#^+oochxEM7tw&BMzL0mDPH~-Dr<-QA^<KI5{15`%<>>y=P`MR7
zW6PWW{FZX!x4#YnNvg58W`;l#>sR~bZhvXm9h&bietAA~U>MvxB+$b`D}hmabO<<D
z(N1o>>|WyNQul+-#L)dg)XU#vpDB0Z1$*n<C8>6TO_21o1XHn`GvnPB8nUTCfs_E9
z<iPkIPMmxmKM>cfJW1xXBSC41^k!U%zpBdzt4sT8Ff2-%wuys3JZ+&#(9J4WL-%*V
z$5iDzbpfNB7T9vU9{ze<26fCxhOtEjCiLW$JUk$mnrp!g=B2pmXBM+H^;{fncH3Xl
z9#$(WKG6&Si4s_)(RQ%lxUS#*ACFfdZdWA0kBm0r+*l22trelB+RfGHDZKiM%yhry
z5mtI>?GD{lVvVIr!rNhCAbBm{m)2|jWTk+aj<*p1L%C0EtZM9=alJ1v$L>+Mpw0|@
z?^j$eDMsh+eKwq>6k5E~a3nThwc`&`2PNav7S31)OZWQ)d8*WzQTv?te$t)GYTML0
ziP;RY2P$7|2gGgTCa`$5%b(ylb;F|6NINm~vF9z&G@U4Ybpj-xFKn#f)%`%m0vxmD
zn|kP)SvUuDNjPzonjjT>e~mcrc0I~wn6uKe{UzV2zi_va4eTt5s`*uq3)>Dma9{~{
ztA)c3_)a=X;2=H30R%o?l#ehy+_ncBZ5#-*7FGGO-YCks;W@wn(zFXOr}+bsVWXYA
zmT(n~m+m+WUaKQ#CF?|({y6wo{(cx0@*wq7j5;Rjd1RkazmB_{zAyNmG0m?<Gy`+9
z1@s188#qwk_DLT(2DOp(P?HwY*9oiqLCjO#uCRqQi-#zyDm12yIdoj+3vpHYBKn)h
zZT@5`_;7p-v1E$fwV>f(AyGDuC|ww9z)Q1o_yZ&wb;;jO&gEa#*}*%?_c!^p$64>V
zvo8DN|8E2#zesae;B(W@UBS?tgF1U!QM&1Dkg|@*@TIt~K9#+k?N65FS1ScGe3^>=
z=6aFNe+#wFW?}A%SWEKm-xES`m$A0~EuYxvSYmCJ>@v0$1ID>w`krzTi$Oo<R6c)x
z{@I@Arg{A0b@0kq@r(`A-`&pCuV(B7%k95S*C{yBJ@-gjsx^A{H~Y>pmbm$hu=$HP
zueoRbWm(5V;s|v7JwrSQ_yu#IMz*jrCAa=NleyH@T89=own|h8)(OdxxH%ef2JYR!
z<Q6qx5Xogp6gcc$<TC#}x%1;kphtxZ%<8LJWdQR-ehzmA-n7R8tG7B`T!XiAO=SAr
z_e28Dt4Llq(Y}Az#ykE)Ogw0sR#bQd?ORBkP=cxb>P_*Y`8tyT>PsIO*|XpofP8<#
zRVYQK%n=c+W~6tpmR9>}#s2qRLqZ8_p>(TY$@_@ORu>U?^{rHey2l`(5ByiMDKAR)
zf8_)yUo2jC8=;I*4H++;G!4tyxq-c3XJNN-d1kSyINa&KhB^Q~$M5JoJGsq!Eyc6r
zcxI<@`_}TkSdxUh1QpmA-T9Y-(~2tj4{r=b_ELpL+?iMuF~A}N%}W`We%4<ZN}Jjg
zGT2ZB2(t#ks6KJRnP4xw7@AViu3^9UjzO#J=%5&nSV$>U(h(*LU3|ys61?gPFjmJs
zr;bVyjEpw0H;r!=WH@OB`u^y%;e5~DLYYp}jICL72-g90Opl^L@yrA78Tlu{!80)j
zxpv>5iDVk50V8Fbu?0-ImS9c*($>C*Si$RmEfJ4JE%vfwkmV}9Oo!bfg;1JTXhAou
zXUtCyskh_br^9JQNxrgM`(PKMraWJp8l3@PC5hujw~gt_0>kNUmci|aO}=fkYqP~g
zFkkDoG(dXUx<Y`0QO1q~g_PUFO#eaX&#445cbMXf-J#gr@4b8K(@Gqxdm5fMDL3w_
zG~w$fp+*}y(DNn|0#40*CZZ<aPK|$hrTKZ6Jk(ldrR~(;im(h4lDPoRwiuVmKiN?k
zzZzV5_fiWEdDW3Ao=7Y75l2<@v2Nk4T&&h*f9>EmXcNf^yQ}&`CTRPiRA9VqehF*T
z2<x{T^}1#KE9s&8@F87Ju%rc|_L<1f1ds1MLy`P5cRs>yyLTN`vHT>>zM)vIhvAGp
z=1Du&cU;q-MO&860TAyaeITBb6xRdr0X<7GeB>@r*Cw~Rd;pagZR?DNdIt%nP5Wvr
zqv<tS*l=d&XYSx>*3us-^vY$7eb&;jRSK{(kfZl}dkmmcOX;tinXAm2mP>yYd3h?t
zMB>F}87#Z$&i)4=dCsP$o)i>3ETtFwc=!|Xu21Fh><2Yohr0QTa{W4tWPMC}=Oq&N
zs(0fbmKa=3MX-)?@<pvE+EjiPBE|ha3&r(*#$ltTdsP}yQAxOV%Dx@AN=^N2zP#^&
zM+WP-TgRz?)H%JT^1N^^eIudS>uT0c`7$pJ+L1!EQNt~k5}c)O5dgCnx6N5E_vxgc
zT;hP36t9QkUX`ou)Rs3L1{UlO_COv=e*tJFW;F1B`|^Oiw>!Du)lB60iG7*|T<?*j
z+;CmU?xqMWL4U6_R$TvY3;@2bfkv04N0m~!N5qe|UVG-lp_=Zj3)0czd{x|g$Zyl?
zwD8>(w?O^^0V7JGvT@<2blS3dTNkD0kID8a>u*ZpHG$9bk<PNHzJK?-idE-oy?OTh
zFCNhGPs+Xqyxz#<`$<P398FLm1GB(jF+(-2AFsy73fD$WOAQ{onq(!vjh=i3RBqnC
zt|lM0AGaz=qo-5Q6yrql;-%Mv*QM?Z^em3HKF@k<q%47kT^|`an+Q(MyRrqEAb%Eq
z<u%g>%Ei)voOK?B8=2L%#7DJ4wq+(!gC{#FV*qXKdAxpgY*zT<M36*X5J~p+cs(eb
z^_-jojsjMAr$MEX2G4GJSwd=^YI13|=X$@8LLn1NmnW#jkR8a#dnQ!CaJbX>%e3!f
z`}eTot$AZJ^z|cL4U^wpQ`?l*iH#|YckIu=ZK?ANGjf6HLHIj^_}VLLRGjGc(L)>?
z19}S;ue>Is$(kYMICc3BX2x?kU#kUfTr=)}!G55&6ArY~83(qVTr6?^-F1w751U4#
zhBJ(i_Jzm2Q1O02!B9rYlc=9ZoT}rqBsOsXze8_c>R&mQePqUYq$iK{EO_2kFFUwA
z&DAz3jn?hioJvGH23Y=RcMDCbGb2K3Ox=h4esE*L(+-B-0put2T|B6hPSipisJ*C9
zz$%Ck_|DWC8DGNehz!p3-jBUhpq?{=zS}snJ+Y$#d^N34C`klJf)Y&@{tA|PWUonx
zqg{Ba-2Aadxh2PV4eq1e^a1LDd%C}V{ugVmC;zMEOVNPnM1uegBT{%GdJMIiv4@8T
zlH7Js14s3C>PJ-i+rTx$Xxq1!if~8Ak+(XvBrrN9B1z~K`=JfP(Ti>?H|A8*?dYP>
zd84oKr0KAgUbb1QRdEzcocZ^w&h>{obTZpo#v&9}lH~q_XnV<?+fHG0&_nB&Qy{Lu
zfuZcv8(P9Q)`uQ#MK|mi#BpOE1N<5EQ_U^2N*DH}GE)t`OuCMGSSH3lSl@zr$wH<3
z+Q!hP<RdGflDuW@h{ymJG;7QpFmH2L00azxj-GzHMT#2?zr`^pY?Lhw-8`jj=vM7q
zxi5(p*cc>1KtTvl03Vf^3k=G-pjU}+A7(JjorE{+{Gtc^uN_?}ULo#{mRT%Vj^>mT
z@;h#AlV>7VUY}k)x~KjS9>4SEC%LM$2!~(Md7oTKSpp!A=Z+0)W8FoiA(?AwJ*Vxv
zvvKX}@&9#76oihT^1yRIonuert%K8dsJN8NSx}z$E_iS6D2G}}1Y11ET=1YywoK)D
z-t|$e(N#GOqBi8R4mjZQvfp6kVD;?F_>05fbAQNuR(D?gS;a%V^sfvk*GDg!muOq|
z{8xWU**RY@VCnSD$yjzOoB#$kZ1xiXc||{C08UwfYPrUV<aGQa8zB}+-0UDqkWa;=
ztYKf&g8v<j;q#^vN>T)+=Q~L0u9{^Eup~N?@9Wy$0&UW@E55%rK|EU9)ER_KbuAr9
z@SY8h7|9t*-uQf<#W@eb`j9zd3paul#Yv&j7N*#zGXdi|8fUpH;3BDfmF+1%UVo#3
z7|`@x$R;~3Q42Q%5H&(0uC#2##;;_Ax%uaB5))?IFcty_Z<k!dO&<J#r9XT6f%o$3
z#MesND`e_GLE(%<*?x^s-LWwUH-DRVnSW&7Ip#WD^<bPXTVW2_c`|#veu1sEZ^r8t
z;d*&6$NhT$13buf1QZ}c*ji1-^@w--%KcSF&ieY!l*Sdk2ygRBpYsYD%{>#nH15VH
zzf36baSyxWY7L7s@Y7(7oj8;Sm+)eNf2hJ0Ci&eS5M`riq=)Z923`i)l^1_H&d)d-
z2~@KFrFeUpxG6;^5`!dzrL%ltms<LY$Eruz?|xg#k_Xbb-tg;A&K>e}0)Z6g!w#PJ
zYg_=X^Ts|c`{-R6!G@y&Dqvat4b5a3hNNBK0ohBk%0Ac|kqdsw;+99#rX}>*vr=mY
zoyi(2H~*EvK_zylLlpANb&j)~o}brE6AQQ6pZykmbE1wElG2ex|Lt*H(+mMvQ@F_o
zfb0h(6v@hPT~=ps-)&5kjub^PtP|qQ*=TX|_ma-x6+`{3=m1OJ;sI)hOB!%r?QITb
z5|aJCrO_}Y35-ws7~1ifx>4wjs=W)jCDP(u!>Ym?saE?lx{Iije805b#QYyi;3R{V
z9|l<IgO7Nt$exCX1gpq-TG2~o{LKc>T*0(i0b5S{vknXyrnl}HdPF6n8FIg?@wNDa
zWev89d)dT<-+o^P#(+O~_J$KwoCMl})vLDjcST(=DsIeG5&~m{r~G*y`g|d6R(GxO
zsE7;{`wMnx=$>jmBjLv?G@dwSIzvF1cCxJ>j{unRx2CY;4Q}=wcF)x%VDe}VZi~Wh
zez$lyFMcxO`TL1oZv>}<kn}wLa?wQE!D$+&rZ52N0>VXxj=tl0)j4K6*>_zK_l#^Y
z^5qZIG(FC6z$)>(0APUOWe4B(=N|2K7z_{s01tEPJEORGgQm`-9sw!zmv$I1BKEej
z5&lV|*+0p=d=Wj4j;4Ua39EfVb!4JWtrouAtPv$mw`fc7cu{dmmE`LrhL0*FXnTQ&
zPb~3ugs};$T_9%~OU;E#2dEnd{e2V~HsjiV{10(@07(w$s)IznJ&`EH!G?9zf50A#
z<tP)9OZia$u|I7mo(=MHjGZ_B09yPSc*I3slkhK-IYmG%*Xu=jJd|nNZ7KQJ74=B-
z!vvOu={h#Q2e%`P%__*w2k|vi$H7O8W?}6aQ2)q87a0rFXvedr-(8-*R&PEBsF?`W
z4gZBZ^?aA87o~+vA&E!2n2d;%4gk~FszPVyBom%N_<%Z2Vd}(V+cD@jk^X)Q7+Zku
zC~Qgv)E4&H%kG~WHp7>~T5yxm_`e>4pLZ91|0!8zvE2HG-wXa8V9FX8a$ijR*v}Td
zDv5qJ2e;J^v$oD=N)~tva1^PQVy7KwrgR;jIlAd#-w0DbcARSp(527ZYCgn><Nk=F
zA7FI&sLCuGLi46t`GVghM$wh+-#>De3owXeWuI5#m<vDGUU)P6pM8?5$*WGYbHTNQ
zr07?t7mZMcxIdbPk4EjYrG{u|J$4wI75lGETKqSXWZ|(>2_P~A^!J$rzyEnz?-jtH
zQipP@(^jdT{k=VNi&LbYt39e`_jCKe$q6!bA3tpjYST<=z0GdYsIL7eypYFj@W+e(
zw$=d7K~!Dp1-a(*i#W94NRjX3xqwyk23L)WcX$UCs$3~k?kjmlJ*`1lipP&q+(*fv
zu?@I0tvaBR-#Vzvc+_t*c1+8@f+@1omBQ#85z{mj5N`@*uNq;B+Ho7$FHv}3=!4BW
z;oB2HMLA9*p6z__HMhR2U&iiX5rzOXduenob;dzh`r-HY<Su;n4&oS{7uoudHqY4+
zQ-D^!7yeuD$7-Jo?DfCbok5n*@3=x4M}aN|iEX<mt=MC=RxYuc80?Q#tOod27xCZF
z7@+LnVA!yxVigyvMij?E<v(?55?PY8=eCVHa+XFh$3IVq6TVv!oW6jN5bLy_e~C}(
zaZ7L6!sb9j+#ZPbBHS(1#oZ<YD6?-+N$YG`I|K*|XZ;x5h{Rn*uiVOn9z+2yE3&5W
z1Mjb>&67W<g4mDp4`;p!8Ey+A`&k99v<m`2=<JW8f3})rIp$b};BM94t6bIy_%mwj
z&AYW3ab+LxVY#G`m&Q<I{GHO-f$Zl@=6L>jv50A7HoPNlBPC)1kbzwseJc+dX%tPG
zU3<+NQN1K(89z!{-1tvexVzTYPRM;KOAXRz+vK4J(mZ0r-W`LDqzn6do3ZPX#~y%J
z=F|9tdG34!@ERY1C*;HUv#2KV*rN4dCq>TF_fdvTaRE1#Nx!}od)%TvuK3lY(q%@{
zu%JMb%%nWtXxOuT=f|7L4BRO&eNSf^WTg5`xxr?%*Cp@VjgwvxK|F(iBYXG|gkmvt
z1WhAgsEJ!t5A)sE!f}r}+vh&1-0St@X9m=e<hi>XoBfId^Skaw8}tH%cS|~es`t#P
zUrFjf-SMqQPy`>H*%`}~*IYLn`qUmu44%E~mVUR;1Uj=)@$LiI+n4M0&c3JBo#y7L
z?A9;qHo>QqrY0Ak$wT>~7X8Py05f_tJMJ8*2J^hx=YD}wvU#fDrZ|jyk`2u0hmPHi
z{w1?Vl<75b+EQV706@D?r#Z#5zM#@yV;c@v8l{)b2W&ri471frcRKa{F5aX%5i$6<
z31jKDe`syjlGsa%bK?NRLo>2KTZd{(X}?D10f~GW_E0f~$ysJ0+AWPv6nNsJDR@Hi
zjh}`B`Dl^FI}Vp%$Hr#`1<i7qF~M!U6siCdz*KIwI>LNQsFp1G9rId4T87YXL0mXE
zCV-jM0jD3dB*lsAy`^M-j6a&R4bOZQZqxzQJ>C3<(b?QqW2lyX{)Ox{zE>ZE40?<!
zmO-;eZ3XkTL{ZG-#B;d9UZDf2DD;qV0#}%wKT11N@;i6Ifu^Eds3ldycYI@Bw|Vac
zAg%{pkhLnppQt~nc(SI8seNBNCk@VjD452Agw6?f_M(1T1c-A@G6z)w5Uz#<`y{+C
zV(A;sin3o+!&QgikbGPJUvI~G3+)g!p$v9z_9;Bg297Ago{Rn*;7B&exU^kjwFArO
zl|Iiqc|KLMvdK069$>3fsFr`_a6aha{2uRppQ@4bvlIpKYRqoh2`UjiX$SL-{<vl(
z=;qXowdi=~uUG9qG&Rem3jgv35jeO7*qrFgf-l$3r?YjigQNd8ZGTAguGljKl*54R
zxKewFNCl~~^G$Ye)xu^a?K9`L&lyF4!$-9&Eq2`Jp2Hw<ND2MEfLRBySe*mSD=XX_
zCx94-zdZ@=Um~W*r?%keAYKw5@Fr+LOuPoD=fJ246h6ivM;XI`wyuO74-l9=rHYaj
zeb~(n#*9C3tD&bLxvB1I)5RHunmzflvs_bYJXI-eWhzuPUldnebR#H>4kUL=#Y!yj
z=px7uzFkyv9uLg%ep!$2|Hwj77F3qM=H-RxDHfICz5&bBc!NC=aE=L4JFyjz7I&`$
zpx*lavOVmS1<=gL?VWCpvx%{p>H>ljuVV%IeN`PfJT_0oY=d6*>^M2<+A=te%zij>
zbe9~`J3^CC+C=^k{!_$a%RUaTcNs<opr5vq0Cu0@K&Lr4V557c2{=Fu#Ezbx%}x{Y
zWC2G)dv)3%3n#et-*R8k*~c;9UBo8CJHawL3N=gWJG>Qj>EFs|NCI9+Vvu6!!ezG=
z(8jalcCRbV7US#ut5!>4k_GUC+x`bOuw})sOgjs!v)ZGVoMFw7QtQa<WuLqHI#1!y
zW=`Dwk7#yD^nGn0=>VgMbpo1|$Fe_R{;1~)!@sWmD4;w7>{glEa;pn%;}8`WBgt2m
zlhi32lX1nMrQlspplKE*!2qsr?jL#`CtTqFclW~G`2ULoQU?J&jN4tay5M!1zOBRK
zu$#6MFElCcc!%|6G2~LNTLI6@bjcUau?mFePl?K@R@q(jMRqHsbn)}uZu^-JAV=|!
z&qU2!+7<nfzEGO4b;6LWDvhH;%!=l+4UH?@PJ`cqjK!|yC1qNSwb>`EH3C|+oKEE6
zKS`G0eQ40?#NMQc2Mxgp4)Lt-{D%Qr3-Mz6`5*tsNlWOwG=LcYEohnU<u&;}KarEx
z%Gn}DHJ)`s$gv?7MJVA9l{KZPGM;LX#M1qy{<jgKG`sYm>D0W}sbGjp=dL$%|CILc
zOP18C0_dZ^4bX1c2wKQ}p*&J#!kbAS?ei)@ajOFbI2eMuj;p&=fAJFb0|<Fz#9%)E
z!9SN`5Skn=JGqt$*PP~aWOuH)u@2mXZHT)Ye_%V7QSiC<^3(#LxX9oo<J%#uA#SoE
zDn`)4W!v1mCQoJ6GQsG!psYHV;SE69InV96*B7uepoNZre8>vOl=seMO29@@i-7t8
zujPe*2*NkgmDOpu1ugOCdU*mg)>jr2aG8)H^#EXdJh0g=P*k8mfNJR=<jD@us=GQ!
zA_rp-tm|m)SK^CT@o)WwmtOCs+WplXAI0cZUomvo8z1fLdo<GkvdNPBRNBe0A94dM
z=-~uU;q$-IgZ`D`b?vc>^#ctJb~5+YZkt?rp1&jSKtTwAxf){Vbv%o3dtlJ|=wY~5
zQl{Y@KlSB-KnbP;<s|!?#&;#qZSk1}0jELg;pV%5&&=z}+3GH%JwI>S@IC(sy!z)&
z$9qPU1^7l6j=xAe@2%NfN0#b&J@4oP3xjw!1gIn)ibQ~Z$AdU&A<ho;C;<1zZDqe{
z0(b(H6&1+3Rd(p7K%!^JYLj7Z$-4AGPFeBj1Jx9ci;A5&4hNLh8_#)+o!5$tv$ch<
zoz^?kaST)?j5z4CfgOYC&cogE2yt#D0mfz#cAU@pe<@y<ty3s9o#0Xea82C<CAaHI
zau(B9(S~2=<`v3RJb)^#Sdp%7wa@AWc=@97?bpj)ENj@b;;?Ok>ye`k3hEZS94Y*-
zntgA4^zzIwH6NCN&sHeJT;-U3zDGJ-sw3rqJg*>KSLK?w{EwmWQ;fpP1OM3UhQ#^q
zIQ5~bsUSzR!1m(9P04GL4;rKPA;>RW&WnqnF%##uSr;`Q0eSk`6H4B+H;oIiZ9!l2
zd72{p^c~e#Qc85sbxDn6L{ND+Q|xg7`%xqPJKssmyz7SABcb%mHuI%=m~}lY*G*q>
zoE006D`M-M6lY!ltXZWhy`<}h!ESF71HOI?t1%X49jvkZp=qtRQ2K%ki$!-(6`jim
zALMZVR+UBrOAU=e8g{gEH6|Wp{^$hNSQ@|Y{@J3AI1efbm*xL)Qm^rPN*4x@<5pt4
z3A(axAo`9($iJp4z*+t@QkxkqL?-OmtR-;IXf8OEELrm$3IWby!&Duti13JR+^4XF
z30&zXrxdVv%ZbNQJD_sW+&xiYj|<S*hC9)6e+5r)Oq>~~J$5(kw}BJ^cW!JR^e$iR
z{yPr%D8iK1AB>^M;h}wypUMd6jNMl~*gHkWUn$sk$U6RMkuL)yR{lPAzTBG09zwV}
z3X_^Q&*oxFkMAJaaVv7(mb_mPtl~=?+wCllp7v5`_eyPVIodKI1RbGe*KTG3xP~i<
zCQ|y+%p2%v?56GQ2ye%%rTeK=fDZ-W;h<0iw5>?=gV*-gy0?^Rute*!{uB?vk!)?f
z(^gc$0772ZxjQH8I%`~b@Gi**>H#T|pki`eGNAJ@n~S@*7L|UXX1o1GM4)XIE7l~~
z)Bk@SGMg*srf96|0E#d%jG7=aY(;`y&H(>1IgE99&CjS13fyq}h_LA{3l;dIY*Dc!
z8y2VL+FABR_$hVyXc7&)#30zMITZ5i@D(-QAU$Q!sqb4aeX1F4|3I#dgCksAf&va&
z-`mVEah#+kx`$wyYiIU2`}YNDUd;d)QAN1H#b5V+38`Bzsq3490O>2mh|DCe8Gbmc
z9os>w??1KpgZdyb19K!lUNO}_%T9|C+@bY_pNtf2p6x%9b7LD1pvz8=Eqn}6e;)c-
z0;GTKRo@|F=|X6iAu?|7Q26^SRf+glnLB9>lCiV=gA`m(OBoUcVNJ#;sPB)R7o@%S
z42{3}r;vgxlFl6kc>2m`ymHh07z9Ys`?VB1E^I6kv`hy<@QQM*NDf3oL3_%609m}q
zAqme-{Ww$gcd)6zV%GZRZx*dSCau49%w?BZ845<;8+;4@SSMP6e>6=@<7a`sTM(nX
z)Y6wJoxB<-F*(X{W5&khpXE`(o@MU-pVe3dAZahWj@*O(XQ29E{6F{P|CCEUI)d%b
zCZ-x;4G%_emGt56$TCaOUv;lHeUdnrAaL>Zx%&*0N}mGPXnTd<IuI*10?<~`HuALR
zY<UzSB_o2D@M|%sJHbwH>jitQ@-F~8$Zd+VCCB7t4k|kfW=rY?C-_f(z4mEe?=`ei
zNz$z{YTp6@xe@ObTd?+RBG;lJY`AF^gth~tAFiZkA^^eO5Ac{DkL>`BFt|JH=aRD@
zTYmCPk>~rTBmtLL<#X9_(yT`tY1AtKsUpZMBK5R%?$~4yw&7DI7qRxrf7d#)@5?G0
z@C6UHvZgo4TPtz0;ff{Dsi}fofS2YCEd)VV_A&ALBO^-mjy(h2mc7(<3SEa|>2O0*
z_iMKnjGg;`>(rlr@PSB9a;ZVzkb9dd(-R1YFIH9b$&1q{CX#*nI#II6P4AQ%?)W6d
zGi@o$pDw*&G=Exc9=-G#u*N@YVFE)d{~<2s6Osyw|Bc$RPqNw1C5F>iu!!>X{OL!_
zPa-aCRX^+7sc$LW`t!GXgF*5A1FYX9{iC?FYP&A^u!QD`tLMsEcLhF|e<8F-XzYhN
z_d)V~1CgJQV#P@~{>Lr^h%{51P6g#cWCTt(0jKv4FD(|akCN&*b~*kHU>6L=J`JZw
z4s%j;n2H27vV-G-+jNL*8VY#;a{(mxZ)&_}jHA~i8~6@4jFD!_9nMJN2i(-2n?g5d
zY?&TVry_iW*RV>B4{2DhI3VjIN}Rp3*m7@H^On;HkrK)INFS4t>-8wY@L4fK?0s5)
ztw&2$z&HXzn~8%a@&KB25!kyipc5_q`-nqh&V-(nYe_u^50Kx@5h<boHRx;r1*^(G
zthNTE)PRnF#|f8MPseWaroFg+`89V~-p8!EcZr0Xr%EykfQ1U#Y?+S~HF0^{?Dx5B
zD8nuATg+T&50U;qj_~j0bB>Te3PMB9%rF0^%>x<UdMwK^2P95u`LX6JGyu1BZxs`a
zawJ(>D;vl1)t!SQbd~Rx5u1LC>k;H`SMI(oHg5-PmAyn~w}upl$`UGq$e5j;kWq4G
zJCl@oXo4^X5MyUT`Si2i=D<h8g(Q#lq<VD5od7;^RB~e4@XK+lc)VyqZ-NKls^l9+
z?N+^vSn}Zn?@qkvP^Kd+9A;tSId+3%i`qJ+FF{5$0<OBRDo|b#1UlvPiSPE+=R80Q
ztp=6x7}2Z;yz04ebqO=Czb+XPuse&rOcK*A$|V|Q-0GDL9TZF3bW%>c3+bSRBx~VZ
zCDF&V%n&|a0wC#a-YxT-4CSNMfD5yWqaEc2WpNfa@vK_)nlD=c8?$kDxC&LRwuNa4
z%fm0h`Yv5VKW|M@oL(l853f0F`2yU%{O+M1UfR?LJM8d-8wM1e(K@m+*c3!%`TIZj
z|D`td|56)3P>J}xk|}_{b^%s_kZ_O`;eC&F(2Q<nL%U(qw*N7pzq6-XP)>$y);-T=
zV(vOr*Txs@NA-Pk!=Lupe}bk_&z6<U+jmuL1YZN_E-VXae1+K$HnKeanjdMKF8&Ob
zYFj?bNm;p`xBWdSa1oiSoad$k!rNKE$-2&d(v!Y$`tIvz3E%WS$kdSsTJ;jT>WMd8
z65Z1#rne2Jt?li<`q*VB%~?=-kH0FE$f3$wm2;y!j;4%%>Kkbbu4SC+$<ra14#a^j
zR28tdA2x-mL0J>X;Dxq;AVvnusTsrbNSU0IgU<MRr6eJ_gSh^La0Kgtiw%ZopS7s>
z1s~1^p)POg`n;H10xQSqP2jqAPR*TRJG`H*<waNk$0LV-r?HCE)xOKoj(=&|#p#Ds
z5;sH*NG3vxJAfxdh0vQC-de7(afKomoW~5ba8IS)<k_$<l^z)&h}2r@QeI3gBzG@1
zUKHmL2fbft&L@$j8hmd&Gq%Ku+riOYz&RgrFuvbSg(+gdrmp}ne!8pcbWF2daOMkZ
z05~^u{OF}XB;htSEZOnGb}|V<C*RyG*J(vZ^r2P3VSm&Els=+)&9}I_jdVO1EaqBj
zsilEYkb94VKa`~*q{j3V*kzf`@34YCE(AHjfak@qBdE(|o^5t)cDmcFinEWM3oS%}
z3^wI)^7Iq<=k!CE>7Zqv^Sfs2I&NYrf2pr<c>~x}S}lzNU`}s@QasM;W_21jN^3h$
zrlY$#sO0$@Nwm823t&M9>WXVT>hDhoLO|V@5g?G=Ia<HffmB35bzZ0F@|YAm&dE=;
z34GY1=AF4Dpt)ToY~3L{^;QzSQY28-(I&(2%5IfN5q6X050g}?rPaX)T1fWqPUo42
zi!iIKg0e9pAUitt$*yokmImD9yLJ)b@65pHa!!uez`Vza!6j<IXt)pb$+jh0{GI)u
zfd!UNif;$Ol3E`f7cE}8FSqP7tu7c6l^80yk@Dwm%liAdBnt;hiE~M}oCo#!O)=dV
z3XwU<^;znpbI-GJob*G*JQjxj?#7dEuV`t8PZROLD!6a7=TAlOz%!)iZ@<_BzIKry
z^80S5d>nJVuYr3-*$~(Vm;hiHQE&o$WD`Vy`_!W?L+ao6tg%f`p0W!`ruk#-!Ekct
zpYZK09)kr{x1^d)z?JR_^MyWkguXev)6V$Xs)zIs9<aIIh{>qau8ap&h|Qa|hXs?<
zLbUG^N@)rEyyxACdqMF#0(jgcUVd?2+-Mvosz>1YxJ}K=H5t{XLUjO84l4l#n@x!_
z*YpCRCH^gnq%9)KH@M{9-DL;wzVUiDb{blWpw>H0)mOkTLP2jAnuraYK{G4W;s2$t
z^5yd;cwY=Hbmkk1SENLwC`bbPOXBEQt!(X`4-39ehls!adK2ushSsAc=ar`^lKI=I
zUql$b-xN%u8PEe2;L&Uq^0zN$@Nj(fW&W6M7~NQ%tpr8%7>RqT!|hyTCz>4KtS$-g
zTmL#O_&wx3{Ul8SP2Md28v#|Y8IycIg_BV{(Kkej;%VzUJA;rL(8tlBRJ@*b(o*v)
z7&h-k$Adp(-VmAJ(xWFAbclvE4eXXXnL(-6W_+IL<d^wN$4EN9nx&lF=E40LD}Nx`
zFDvUTf1LI1|Jos?o7Z2uR)KvHu{6SgOQ~U1*A5I~;<yc1<D&J*CuGpmi9l`~)Z%+<
zRC-gpi6RDOp?r5r=_JBk!iqnM928ycu6xiTgg=|Y!rYaO2HFmDHw?o~W=<L;Cl#cg
z4%((~5P+)j?(IAeTyNZYCQiu+?|blm$2i>Nc`k!7m=!QYzvEIB=lb)?CWGoC>L1?v
z4pYNHI=h>M`{Xdm6~9LWd(GFNSFdr{popb|2QBM24PctH)?b-`^|)NGA7vXU1&3C!
zhpH6~J2gLhR%@bGL_Y5rQwDF=z2C(8pd`&IypV2iP<T|;u@%8S&kQ$K>K`Imv-tj&
zqj7VS**!c@vS*x(r+YM3@=DB6<{O!DNs3}hSEtAR4nZW)KkY#QkJrI=EjGmUGh@OU
zS@Oub)gO;Nxi7vm4vuVf!F3VcC}CcuaiUq@0pr<{-$5ai9rGcj4W`IA`?wBJ-NbV<
z4UHbI-{>rweCdhQ7roVV`A<60{%UL=u4r@*z?hcps?EN4bTB*;=^kYO%hY5n-;nCp
z#fgNrdyHE_d~n>p_tiHXpJ;%lDIhEY;p*DpdPARb>xkHZ+uo(0?nuUi!q3Say`IZM
zX5VBvX$dLb<WhkErEHHu)(dqe=WE>nGd4zO^aoPqXGSE5E-dOC0!}HH1|&6Lee2x=
z=2r(v1GBSMV3m=C?g(E8@$Ka{JJ6hO0u+ehVGk8yrQsl|UeY?n6wolL=_Qu!zw`0h
zck&$RUocat<ABQPbj4m?78h-rUyc_xqAXKrctkL#>=)5k`pH3XZT>A#Fw`Ryzcc7`
z?Y_bLlXSCII{!-B-z?{cEJOy4#Eo%%S1PCbHxk&S9En_^a(~>ZsBtH`UgNZ4l1prO
zLbP=b#D_s2y(LQLp_O)I=tSl8`sZG{*J}fg36!`O)P(}fLR+R8cT8;9>vvNH!hhye
zD4WLu6nI@9nToCYp(|Z9f4HTn4E{jGM%Rw0eSuNYqI3><ifDVF-zEZ(*N*L+$b9Hi
zj84DWLIrVYl%e|5*pHQr6?M&@TV?wE6}?1}a5rlX+=#Ig&H=%CUO68=1{;1()faZ>
z;9=sEBhIrCbe8XB=xYHBuB057^DmK)H4Bs8q{!^DG)LV*FR^=}`5K|&#?FtzO%(oc
zUF8?y+b#cR^8Y9B|EuTFwyS$0=cV0R8ZGs8fwmX0R<Q~(&|~`s1Map&VM`_DfNcgq
zRF<2a*7udN!4xqi7OFMZShe!E**BLn^^ApXjOCi&8>B^~G?;T?ZteT^xYV6|<86*G
zy@|hJ6mdhZ`R2cIWoLOLUG$?HV(dRvX@gyT0lC2Y3p1w3L6;G{;5MwBQB|Y-%YTV&
zOuVC?2l*Hi<$e{lm&2oapk|%%7W&-KD2v&&=yKMBK63<!3{AhHLizRmBIM&vNi{IA
z70{;$90E&X0n7%HD^Fr;i)xtk$(m#siSfb>tTFkUqiU~NW8`0Hi@3kcWXalCng0e-
zh)ZZs6&(3YjXAzHOeThQ1>6xj=R2dT9{};#imhv`!Bu0r@-*#|Ky4<K1vag;=$Zp~
zF$Za=4}hAclz|(cibE`b#Yg4oz_(*T<#8fa{i{yjo{W$BNM}y+5$siWbK>+L-0@()
zb&<p^EYDL)Cd;7Slf-}3moKsz7v=;@&ysCuYPepJB2?E-P5OA1Is;fg({Mw&pev)Y
z%p4r2n1K}$C1I0o#~hq(67k34a5ynqI8pd~yY2@uxR*G8yQfY^RHmM<`N#FDeKzu6
zBerOLp=H3DVnc(r9ipJ)oA=&po0!kvMmlCd<xl;G9bmq}stY^&0L}qcY`<Z+uYI?N
zy+a?-e{pKFd(yZjJM(-e==e9FKdrs?TbJY9LtD6slKe?qOd=b8q#ADitN;*%4?7bT
zq$q4`{RlUnZ%f?xoMAk@X@5l?gpQc%E@k7H91MUt0q+&?m8>PH6ldi8jRE$E?=GVt
zcL@(!ob`b^&(MW@<3xr+fOPH>f~C<v9_tK9ElCgTip+nHp3XweDtX=Ly{#{0{mmq*
z9#r;d+=@g?c#v-V!_Mz5PG9~JTd5;p9auGXylTtcC%s3^ligu|mj5Es$};D+&fxP+
zNMLpM0BgE?k={12%1&aQ($}5f4lXexUyHA8pMv=03mSD78dsiH{ob@~+jp7Hl?cC{
zZghL$Y$(DG9rdxeXy`Mbfs*M|$U<NRrFwV$yQmyP26E-GzV%N!gg$r~_*w`3<|@D3
zB^#XJspFX9w{U9Oh@!!uxElc`asd}&T(V64Qem`+hdbx&9k`KQ3LVCCdQ)KJep6Xb
zibt>`3Q%olIhtAj1;A7Gx`aPS4p`@}$mMun%dxKcVj-GbbU9R>A>@w{BUm9b<omD|
z#M}<eBX?bsu{tf4O=&`5!l+oA4YzYG5&3T%AG;xnkw^BiK}-N`A$ltmuQ&Y1HlLC9
z&T5AXRayi85%o(zhS=e)E=%bsy;_wSBqd%7c=#0|*UD6No{(sf;(ZCupR?p=G7y5s
zSYQ}sPJ`omh49jR=p~f{#Jos0JnM<%e?h)<fpcnTMT4=zhyxe+`9_u`TCEkBU#<hD
zA6pCBUL|CJ@!jQ=d*QGc^NxI|?CqU>E!(YR4qP}<xA~AtjxOC&kTr9IY`s$b=eeE_
z2UZ)`d%O9#=5i4rn|6wnn5EaoTg74fgF;481alrvGQOx;?Hm-68`cYGV(P&5E;6GB
z{WD=Kn7@GgQ&7Y;@*YO;*by-nMw>%fcKCAoH#%=>&E8V_V6taeG(Y8u;<X8RADlk)
zNcfsym92jNsNofY;TH*6x)xHfgrB550fVx`=v<3G>bW~4-^^4^<1U@`u^jMF8&RS<
z3Bhs?!vI!W92e#a^ETYx#9n}$T3|hA!HKMZ)C>QH&-&I^L~Y(N2gfeZ^alRL^)AOb
ztyAcd0Y>_D>rW&fB-I|mH9m(qBFsuyZa|iD(#K;TNijYLhH!~Kcdx5tlm7p8JnD1M
z{{NWz3a%*Iu5A@j8YyWI6_D;Ok(QF~?gpuWp}Rpqke2Q)fuXy*nW4LekdF7l`}x-T
zu3x}9*|Xz_z3sNpkDHj#j+^Y_&BZVO`6L~KT=Suq-zVU_9WFJKg6{ZWEy{A`cD}{p
zo-HnRyWVlA2KIQjmYI1EfD5AVc^&=%e5fQU`u*V-X%zn+*`-q&gD8?N=i+;tC9+)d
z3sp-ySug4GU5kdivd<$7@iUScwU};y)t}#<G~;+>8-M}K-x7q!)QDmX0nlzIK{g)4
zF}4yDkc2=GR=roB)qqtIFx3yJKu~JUdCl*738@(JUO#IJ(xra02+y1cXPEr{LMJ%s
z)*#cLDA?$`g`J^dYC4gznoBRX&EExQWg#Xq8M~!XT6tzy`GvWPS(I$&HwpnDfF^q4
z$AI6RBWn-fdJPx%9z2bAn`htS!jt-A-Zz-IBHf`WarC=s%qug%QHG&pDkT5@6~Xbd
zcN~Ckblh18-*p8qZC70Dd27>iQp|F&(TS)!*`b7x`-<V0|L>K7ra*h*pPx6+h=J=G
ztx%`6HrU!6oGI^sn`plEbKuXc-m-&eEb=lB_IO&Z#d08gsN*&XJVV``^Nmfs+fCms
z9^I;ru&fp-$d#N>_bhLS<5p(I2k}t;<+yA%k3Oe$`kA{ygm+Wn@4~vz9p$@?=Y1Cg
z8}+}>B2xt1CT&2i3?AMGE%8jNed#rkw?pcuuOik35yA;|MVF_-0fH<z#WK41ikjWo
zd?ou#s&Pu(6+W;i@o5(A;3wQY>s$4Wn>5ho0xMO@u$LzOx(UrSd#^;*vp4R~tN6I)
z$30g=qjuC`S@KGZ8Z5UdkE2Y++IdN}=Op&v`Toad5Z83+f07dKAbc|r!j6YhbPM^d
zHeq>1C;+rZxkn;Q%12ASyk?cl6^{U&ZFg9bX!^bQj1p3MJ@)5+GvmaJN+IIUh3d|W
z%$;P^VcNnuN*0*><bMd14+6%172Y|c7G-ki>R%7bj$1q+H`m|ZKJx!|t(G|^3!#GC
zN+0K$-_Kmk50u7r*^OUpmjwZ`Oisx6RcI)zymSeBk<XtDTy%zgxTr;oe>X9|;$i0~
zZZn0Ntv2tmkYuf%FVN@iN_2k2m1*O4f?+dGTv4R!jQ3R@pYtTTxQn#$R$R!7)3Yr=
ztU_o!3E#|DDp7YLb@uaIB<x;sccNp^ND#tt1xMx;f?W@@1i&UJXtwiCC|XeSUD4MC
z*&<IKh7a>JkF%)nmf-G@f4;IA?IeTXX*qS0j6i|%wkQrhz>Z<$B*30K37pkdBewv=
zCUTeBbZT(B=w*W}^NA{->?ZFOgEaP49m)OpcM3>EU|m3UPMqf2Z4EeszAE1-{zQrl
z#XlM>M7$6u*$F_ChQ$-Zl&RgS7vQD_bTE4QsZ@Yj1B7M7)fnt76)j1keA{H^4xU?7
za=roHN4^tP{L{SO%fEFLew)n{j#-AjdDsarVXAx#M1FSrn%6mEqU%Tk^RPKZxgL^k
zg=eWCJDW@UGi2G5=jHUT|GL5!jQ@uf?l}J^oJ}$4l%7?_|1j4x(vp(Zcv0X7JU<2l
znzzyL3|4!1%_T$hxX8fI_nO7m?Hfvl&SnlHm(7uaGbdi0YWNla4imCUX^3z0_c@N&
z?`1<IO>lnt&*GPW@Uf+2Yog6L&B~8g+w&dPuI!AB9Jk>kBLYN^4Z{1ljIl?kbheZB
z1jT+mDG+i9Fb1(1fF4=e_zq^WOSeo$y#f2MtxdsLSUFljXH4d^2@$6><no4&k9dqb
z76oHdYL;C9l0tVYt!LdXA#tX%Xd1-T9F!QfwX>q=6osOvHsp}koT<$4*~mOpaZX@d
zTK>$`#Wsc)sGoA3w<`VrRMjp$Ad4WiZ7vdv5{4M$C`q?KMd9d5a;Wp6gH~q1nGzV`
zMqE+QF1pLJf35P_Gwau^E$j0}J0BhnR(|qkIRNT5gKhm>MRma8Y83#m`3AS&j1h`h
z{`*;Y;QgzhfMHY-aBV+v50}q~bcb$v&ea@$_-U22p-!26_Z8s3tmV)$!(A3jK3jN7
z=O4ExC*t!L8DqU#s-yZKj+1cH@56vBf>+gWUegl_=(8+<1u~K~JF@&^(E`UYYNJh)
z%I`Kwew=yjLe8y^rcKFp5y}7;JAr49Xt-|cI7vm`0G!H-V;wMO%UCWiEXH=S+IDts
zZ8)SoDur&9y5lbo`K+2mWRoF0=6#g!xURf53{>^7x+B}K)_A8zG1zLWeGX15R6MJI
zsUQ!;-;H-0Sb~x;N1(OKP-wi5x(+c1#JrcN0`N8N+^<kUzQV?08L!`Xn3`$<Eedpf
z!(jjJIoh%A79Qa*P2-*?nF?tT><eM}=MIU*Y}r(n^5>-GyS4*~Q|Z>tKCjxn&Ysy~
zqSVqq(+~drLjd=3jDl<*iY^Zt4vaeEB`T`Pn$*FMUM^U7(tD_Q`@8qQ(Dv~Tc%q9h
zeE`TA`>AyX`i-`m!$hmPoZ2Ig<1T-|Iwu*0U(irb{MeFp>)J`2++GUqWZRjyk5Hqe
z|8Y`CbW|(o@E{nO9#a4l<t2C;CapOkTWwo2(cuilAvGLv`sMRx<B)@a#8jI26F?*-
z2lXUbM<)U(NX<%~%+ULUX0Fxy9IL`MS?j;<J?sZF+tS>@CQDj3&jk*fiJ7yT)Y$>F
zvGY%_y2H9Qtd{K`p}1P%81r|YK4#sTd6nbUeHA5od4GO>5El>mT=pJRgAO))-#gig
zXZ6wq#h~!3a?uLCSStHQc-;_Z9u8o+r-_9C?xuqukomXkvZVkXdmM#+95(%j->q@~
zduD*vT-Rvg_tDGZ6MlpF?>Rq|KCJ^zc_37QwONp(sM71X$D)@$_XsqD2UP1#uhCC(
z3d`skkAT@yd~%TXXTg(Db_#PbSasd2ukU|xjqnuLFnSiqV}a|_I}4Zxagn-nS)rG+
zvDXt+(qz=G!hd}E_I_Q@Ek_6RIE}`%+j(n|b^+MLpS<*`0OIoGYmVR^GfGn+URYy3
zK0Z*hFm*8CBz|iIEFglmz;X$Y0OEm!S+QT5v`jE0?YOglJC_#Awwb!L;ZB`zZ5l96
zx_4InP}h$eH=BCxqLF(|j?Sb~gX4udPlPV$7+l6A-$7?y1e|op{;<J)8w6ZuiksTt
zn2s;(?&a{aX!U)1^5QWcd1L>ilU+c~gi?!SX1YmoSp+4QmU(4ww<P*=OGf*06H4E4
z5Xl|S#0OxV-*b`Bv(0YtWTtj0cXcjX7^d!`s{_$$)=Z>NfpCMY$~J7s8bxq%UoWt!
z0&tMU#_#^m=>e13t#;b!9?bWUZ?wOI>NP)zdJh2!!6&VXh+2nW1`4z?oDi$@X%0K?
zqjhIM8aT+7h7Z_`PMU}ftzct8U}w@s-~Sq#|8mNcd5x{`-`gX0-f9HRVkMQgmbWFS
zMuCxBqM*7ci!GJ<`yoSrzNka9s6F)E{Kyn@aP>!vHvqRJW5B@<vJ|D+9c@YZ*i&A*
zJw#&~238cE+xwFjYker2j<8~te|f$Rqyv{pESgI|gqC-9de*J5=eV0>F0F0<6`kpA
zZ4D8d+`-IcA*%6<nq1R_mmnP1N)r&4>#+Q|cb|b2x<wc*TCafyu_V4ZOb$VCQrHpj
zKGNcGLVEGExBMsZYuQ-%lF_aJ7-+W-{@}lgKH89tfjw25aRgDM#RmY0&94giN9nGP
zU4Y0FSOBwZ1S#Z%%#*D{EkV`7r+G_o)6fklQ_w7Ss`WTjINM$rC;xK~UA(<>i-XA6
z0;fBdd<S1yS@Bc|qJSElYr2u|g$Tv7gMhhYpruyK_9t;D@3{xY%b&?NmXQ@-8GuUj
z`q01FfvV;x(hH!`{=GN+zcq4z=jHgJzAJ0h^LF<Ae;~OACxoKJa1ig$#CNRF6AWHG
zZ=-gA?dg^UiS##Z$(uWbZoTJuEb#MgJgkbWx#@lmJ5Wy__EiBKc!2UcL4VETrY!&l
zMceiY+rNn@QWJP8nGufKBdtd6U+CEO$B{!HAT(?cU<@MC^=xBZ<%+tJL6m)J6`QDU
zdd77k6t=UYP3Ga2!M5a<B{b6^#nXl`S;!xBIy=DITk5u3bS%$+|5e!oaAD$9zZRkg
z^&7X5FIxGy-s1S@?m)PBkHdJzTATq#RyPU>VB<jw#+TqP-l$RGBdj_MO?gV8Um{#H
z-dbYFrSG*QM@zfeKXsOB<XqVw0OGP}Vx};?KAWik&dbQ%cB4l5?BK(ggy~uJdas&e
zH#F0^^>=aRe{+H62V5t;ykWNwp|K+et!DpT*5}|~y8a*L_iwMu`cY*ziq{j-fSpNN
zz3ekc?`_gPLzdJPO)2(^6w4aC=v*I;*I@|ELyYtZr)28sf4)?6_uRrvF-I#}_?w(*
zI0B_>8-PZl;@Q)>mz()fGO^pkHE^h@7}vPq!fu+oiws4N7*UF4a(XSHpK9vaUqac!
z{m$@cHutpU95ZZT=weWCa1KdVh1CnFC;*bH9|J<<syO7%CY9s&LC_nl=*(TI{mh<Z
zz|2#m{C*mkcb7=DjJ&^~ZhQneCu)Bgvm+}|oKD-d1?<|4=Y@Cdo#Ay|@FU9Rrs~l4
zA^{5!`7nPwI)-HE)^Q5cAEWTHozxWeJxT-JU_MUFAlEp+dJCZBX{)48yMUM!0Q2QL
zXyWbdh{y;MPpqb$bQt1K<Y3%tnQ#AUkoB(F-pC?8Yr8=1761m7g_{poA{%55Ek$D}
zbR32QF=r-DP!XIKAiM0_{li&X&>NUTF|@p!n2{4pe?zyC%@0JVV~SJyvinTrezdx#
zN>GnUXU5Voob&7^2#S0>%1*<mOOLraOX9znbiN{%`E-<ZyOXw}rgurDe%8ggJZE-%
zUG3es74BY7CUrD+*2=womY-`E)N(#k-~9J}-Boh=I-kwc;xPEj1E%MdxAocf>F(>A
zlTxdpFXYgSd-GVK7dP-yAuHCT6UvM?_r&!NeSHxjncLY-s<YVlMX`@+SNf^*fX(p1
z&S<^i0W&s{zm@p@ywi&D=Hmu;*>At)HVJyExVm^jOlW5BuFKgKHr3IB#}^MKH|(Ig
z#Sm-Ft&L91c$i74;MpU;-X7GIkZJtxh{=_47y9H!y~nRdbx#y%=DUqXt-DXi@BRt{
zY`&s2HxG@!;#JeHw=56Qczi|OMc5|osO8O1ZY~rM>tz@VTFWbf9f<X`Lei)pZ&qY~
zt`563-%|FoAI*Xqn7`+p4Xje7Zt_gKS<Gd#y^g?nE&%uu+>ZV*8Q7tNdaEX%l}E8e
zzCv^F5ltWP`E!2N0|?EO((ro-09E7AHEWI9u@C`l=p{&^S^S7W!^`NfFsc~HQ?K)M
zkr<!v`ak6QKiL1Va{~-?02T>!U0h!Kl7}Vww}Hutg20Xgo>5xcx?<3H;4N-}Jt<nh
zQ6yhun`qiq&74QaVVSL!?hl)wOJc_$f!Cl%%Kj7^!1#8oi)Qy~ivY|5(aI+QDsPC(
z3sXn?i9h_IQGg70$Mklt`2|h>=MF$8b(*_`Jo=IsUEqx@0tT>?V%j-m_qQ+O>&gck
zU=Bfr2oheFmNk4ZZfC1GT0dt`{T4pzqz5R89Knone?>4g#_tUs{)J-|rX?sYoeQ!B
z(2y0H(04^qmMzi9SZ^2G2EIFDgkE?`86<=10@BZ@rs1m1;gqxZ3}5X1!At98dg8Uy
z_X>J4DdaYuKaB+<`?ik=niHt2x>s$d6O~2RQZ~q?=|8q84xZd@98@_>2(gf|%ORr0
zE8GrxowXqhW(!V=G>UQU{vZ|+h(t)X!kmtjFVpkP$<!wN_F)X8d4JER&fs%rvs>=h
zVQF22Itf4<1_*VLOOa&xiC#_3l34)@hrafOPbB93UN@GQzWVGoIJRijb4=dscq6}4
zjdrd@hNe!or=6Yfd2N|*cQ*U5W_cxYp@aBgjOf7*)6;2k1b0V>wyJQXurc@X@jRG#
zG4;^;-r=K{y_VOTlvW1s+e}eTbo!g!NgHG79IkVg%!<ODJ172!KvXK~?E3q3YcB6U
z8FitFw;3tALZ3ZZJQp_TY%P}&@K=UuJ5#Rz+hz!OnP%a@aymNIQ$T2)%?fJ}1PbtY
zgB{ZxK&42E04sO4d7UrA;$KYkC+fZ5##jj6eSg?-yQKYVn6eWbg8*q_hKRR{kyl81
z@AoCH4D|OZuK|8i?u~t}l_1D-)TrgPy@9QhXFnl)>=41!RWUvz!4C_<qu+{F0722L
zgq{5FL{n_RM8VVmk9iiL_Z2DB_IY>>Y$gJvb^+jkzpXhwsju%5DG0~1gnBI-?Sn4!
zjs&fOxOk)O41M>xr`?bv(?b-0?nD(X<2V9y18k>N!qssE*!}=CT+rSiE>t537;uKE
zn2KwOj9GiKx#cyjBGHU{hz?kRmgM9?%=aWv`k3!U%Fe*D#PiptSC7@MWY)6Q`-_i0
z$2=~=Z(c5$*$pO~f38qK*v<S3wf!0E;}iIvAx-X!6sDNebAGepn#b3m+3Fc%q>!Uh
z#TRA!jpYqgas3|+S<i-UN^iaD_;F7a6+DaQ$T0{J4ji0J%)4i^NI~FyaOa}&vm}>4
zd0D_0W`zYK(n5))8K|_5I<YgHwJCWW=jq1XgW1&immq~<vDz!zr?c$K2QU+Mg(j$!
zysQFPFA?SZ{MhlXzzElq*$I>HfV^s$*e0B6->=eW!>wAZyt<Y{!`HNkuPCQfGstVN
z_PTUopNK^`*W3-A3;v$2^4(u)AC3zO-VU;h<RUy@xa|%F@2PO5&IRfG=$oc5g2)<K
z!Gy`yA3>KB2gR0H3+Z{-*};-Sf(s?M=nxe0Zy}Zh=aowAUpzjs%)bak*L{@Vg!-wf
z7^Lv(mB;TXQ@V3pcVfdzt83J^hi81A8?90Fp4yv-Cp~NXm3_ix5M0^gaXI&>$}iPM
zY}Aov6e2Vz!bMmljbv@#DTZ;?aCqrx#6)*h=V2Jb=+492x19$ajg~?_9)AOKjfX3C
zNFyJQegz$K4B)8vi6*U7DXPz?MAzv%-FA;_8m^?FuLeP|`o5EB5J}MuepL)%8n{l}
z^lOsesQy7?f2!C4Uh1qkVLo>+LShPP2y$CDlD4X1-M7X%wnmn?ZEQc_I<{YYrpe-q
z>H3f&0P*)KZa3;Ed5Z?IG1Ac|qTOn7f)JkS@7uD6x#8nStwFt(m)D^P6p+z;_i>>+
zz3!xfWLbq!Nbv>S%t1g|`8DOmqKXgl@nIw6WA4gmyU_;-BT2`BW*U1Fnl%oL4y9$>
z&c2j;>?aWpjOG;ka_@Xp6x53R^mk6-byv=Tq9fo7Z@uE-n%f3a^o_>%)7p<>gxh`*
z-nt`vOq=Y<i;-t<&#m2-Gw{RQW(SY+i>eWw5r5b)HNOC&FF3^FQ_ZH9j%${)ttZ)y
ztjU@n<Sq#E)0uo<C`*Wi7Wj%lGi1jMCv9c6jUhU&^;`)tOw{}RfwP9ec2gIFD=R;p
znI`sv>})1STN1?j1GcN|f?**i%Hs15=AC?Jwjg@_s#j<Uh-^kFwY$kB42o$*l9=(F
z^|c3$;v|FWEMxIGg;nEtJhCZqS@VIy8t0*9Q}Az;;^2;l1(F(}g%H&;i;n>pS!Uj)
zeXAU}-}g@4oDoIuZob&swEWHtQHl#z9TTY{EsYB{M%B!6f7VQr4WswiIIuJP^Vrox
zd?p_x58hW`yydy{(7&k8^hT|3@wv+$3ww6lR-X8vn-+}WhtW+!;;nx%isz|>yx@Dk
zpNSU~niwmj!x{c-o)nHU<N=;5YS%TYRW1jaT2a`VzX)t+JS0CYlY7ZUNJJdkF*C<R
zE$ys9MBM(9puJX7FRNgP>moZ&MiWV5xHaIAm2rhZ&EAOdqFMd)DKteu<65ay9pE`o
zA~tYG1`|}nY5XXb;;hjxACHW!oMkFa9N{S5!m5mV=gP}2j>IJ1yrU$maw#PB4T)(m
zP;H|_`uoxTE}8ihF@M%?;9w5TssK@kl~3;Y0avm|9{#!xm(}TrG|waBs&qPyd#cC^
zEUljP(CI$m`Qt3_*^xX*3SXyneuWL=l}tA&hglBfyb3HrhQk6k^sqL7HuZ{u9@&M2
zK5VAajC}0p?9!^-&I=0L`z_iy`uis_9<~!se9i_X4WixF4TeAbA?~!zAGzFh`eCS~
zwd5^U$E~!*i1t){xXZ<X_RXV(4whXESDh(0Ngr`*0C0){GX~z{_U(+U!z%18wmFnn
zh#q{6lnfsTz&B1Uw*2Ad5OAO|riw94RCKCTt5GyU`#tZyZI_Xdfucg1XsI<HI8QG(
z-o&gR>12pZLapYWoRP@_NB3W#a?hk!XxDW!?6(B)NIz~HO}bvPCz_=}4#trRbfBh+
ziBcKb{0sxtR|d9SW(26e#676ea&!A9mW-#1dFfCzIT~z;PA1o!BHy8#8RirPg4;f2
zMg}Zm^U-F89iRw@?Gj<-Q$?>xzu+D3RNrwcz7Y;`!H@b_aPAmvO@FyG+nkbx-EKAb
z-B73IK)7$vDBAurnQoA%1bJA$UWCKJ(RFzHh(;y3^(e|&rF6AXfdj^?O~VUw<Ba72
z$1xylJ{B#xmn?Wd(u3nQQW7(Rgan&}PEg}67aVJ#-ilb)$5fA{4W%Y-3=3IrWjFU5
zsT}DPmp81=(}a_~to*MwWnZ0EWe#J#LIGzp>QnE&CB?I--j9UxV2ea*STTd=kpBLc
z94)9JEgXE5kP{IQHNf}vfyTtY(KME9U^c!o2=1Fw>#;zdGm$VKADPSy4eeHN5|)V<
zRz0I66lzjn!68Y(kV_Nn0C)LU0)Z0k(8ZCCTu!6^vTwgy{Y65%Px}hX?}c4$tnE}~
zQ1fZJ*WG5!GW$+_^4$l2K{nfwTblsaJ|iNuHl<e?4sBLni~o4n{bI5y56a&v&1iCs
z_JJRDG?4-6@)Y0MEWDvr87hHC)foD&o_b1G*cs%PGLO#GI4`W%K!;*m^_6>PDHu+c
z6bT&qrc(l{*vmk87%iPJC9O5X-?D{J-^6eF>KZ97rQA`0aI!ZWxdB|dNXNb+Fmh^$
zknMWp>yBHuX@j)h>mgLm!8^D&?XhmWNO{27ce#f%ln(E4X;!PSv7Y@+SEcDS)08MQ
ztFiERc+>S^?57{-AU6<pm5bwAOhpcCFA+gP9nsMs&NL7x^%aMb0`PS=br9PcmYRrJ
zHynr@R3dg7851*QH`{8gAFc%_IXtdZc=xRwO=@ToF*M$^ix<kJEEn~Aseae_AcJ5|
zM^&dPLl)|t5Q_1@k4LyvXt`Qibo-JDg}E3}&(aeszXeHY>OfgP?S0m{BC?2Dzt+ln
zT>ZN~jz%5Pm`~w`NoE|exXh1!SU$5c8H;)Sc1n0PMW=+QMRniuXPg8rtLiwCw6sb_
z=N}-}j=EU}tp-jo_P5NDH<1xrvX#xA-s-RDw<x?&&q79x)3`AI-2PS732$fsE=ihO
zj$;a$HNA=(oo9x>O!=*H?QWs~oEp#XY9HL=Z{BJQ`m8PmT(H7lpbA6xqk0tPJ|i?t
zHG1qD!dM_Vzm#dWnA>TM$UVIK^r7W`=Q(%bCAW9Bp1-;tvjd7AUEm|fIgg#H<k)LQ
z%W-qwVq%6;-td;*2kd*<9uI`GN5?kkFh*`5&#MA5f0qdsWmoxpoi#)%z3-<cd1SB;
zlTE*<AicmD8tmhzE`SL*nH6LSCJ`9(RipTmg{`LmKLm-oGTw1?SYby05QG>9xVW1P
zw7j5;b|+^m1)2B_qUa`OgM+YP>tz0s!49*NVxVDTE`$k)1G7H!?eI^}=utceMqEc6
z_Ku=<syKXWNX*2+<3+sb+C+D1z0JWiA>naEd^Wka7&D{4kEdz&s9&_*HAcs+$Sc^V
z)nSXN^q=3oivMI}_A~AmM!xl$>Xdc{eP{6c^`XA3pVli@ky+4Az`cVQUANAtZ~u=j
zqm*LE`1DzoVgb3$rTC=*Pq`I?X&N@n8#qD#^0a3L+u?<qd|Bk>j$d+O3;8K_MYyUp
zDreP%?Qz4q^|Uw#VC-V*<Caa>HieKP>zs_fbsP`<B%5M`PGH|hmReX4oEWypS5tN5
z#Ripq#iKNUXpRUK>v(saK-|mS1Q*m@13&ekKo=?!$hE{$>fDY*IDZOQ#k%N28O^Lx
zysE}eY>hwali2^=D{Z7IZYe2_%Av&B-oi*?`1!_>&VMiKLH5f&(pv~=9Iec62JCQm
zqfZPJq1YcUR?TAdwXELW5D;2o)iZL*N8cXSy~toVF0&!A^)$6@KQ#QCw$6k^P&-U4
zwLF*P+PRYv)bxyPcM^p7z*^a}QGWM#j?|F&r9{@S8Rl-Q_3~&NhE2QsRQNDwn@I{$
zXYdl0t~GgRAFKgu&ZS!Ls2kHU`*~-9(AR|f8C@{u4RP$RP4VzDTX<-VO60>-ppE9a
zY@eIv7i-8z?&R)TYv9^<IPe>ayeiV{>N1glwurVSNFj~A-gXvH)e&y|`b*BEC6`Z+
z;@}QXFI;NXR8@IxKlwmAO|^)rbf-unL)FZ(j*%eP)BmVX)Vx!gq>0bdi*UP~s|LgS
zxqhLwkK@t`G$R1+g?vm#yBaw98TpuN9cuBfmVfThn!OBQfe#?=V82<1-D{HTIu#@_
z15%CpVCr}EZYE)KAmk0P0U%i%WLNcaU=s@=RK&x{fF1fThs0a^H`oYI9z?w2y6vpf
z_8PO^rqgZd(y!sx{KVP2Aq}WsHX}MG4Cc@CDsMO#j$>1l6TkMXVsj5G>B@qsLk6*R
z&!-G<V0z@6zQOglrr+!2omN=q+zwn-l=D@_z~+MjYvf;+xtubj6_YUwIj^WWbwkW`
zlQ^$}VpTdm267AcO9(x#BBJiYoR4g~!RNUh25(??zL0!hcu!_zA~vkE?u2!9Xgrvb
zsc2--4S(|vl~u0li+&n;5W%*X<NjQ@BPAr9(gRyOIM{W`ikLk&DQs`CJD}~#4fq**
z<YO=d`Ze+s;7JG->?|SI$PuBEJ-+@oDrGIm6WAK|HSMNgM5!Z)h@=aq<?bfQ>Xp2H
z%~&sZtjX@l6{bX)0cKEQk61r-83v|G3STF`#uv8!>;emYK8MnSHTEVc^{f&&xt3yG
z&Zyl*svgCx)Z_?V@0-6)Yn)6KSylQ<)H>cZI6vo8M+idB0CqCxG1au6U+Z*x27F+7
zwNWd}Bn8tKTX-3#+o@irGuktzm<8_{nNEe0HBpB3Wm2-tUw<oq81g2}tY7@K%^Hww
zVH44H!DmY0g}aF``7)&cbouaJi1wC|zSQ)A^@`#Qa|yP(vSDsKI_`Ey&Ta=xa*Glf
zTv}Qond<jhibV)7GnR{nzlBdI8~S+~*+80xJ7P!u3ajnZ*o2p!`4Q*rP*^QT-D@5t
zBl`$+!<!YuzdP@Byp_G)Zxoldx(ylOwEL`=vyzt>X%)qV0A$Rk0SXKXz(2fTdjsPp
ztbiuMX?f|GXaZu`Xz&O0rYh=|m?9@fSespYNq?|JxF1fo(@ez85~h|AT%BcU$NYXn
zIpCJq)^nST4Fk?wdfTI202g??jaU9^4SQ9)!HmyS#=`pTI9`@~jBJ=SdBdNOPBX%<
zH6)gc<!+8b&^q5qT!98c7tb(hGrMl4demm&s;@O1GwWiFQ-$0=mu?;HatB2R!qb0z
zf5>1zD~gS_6q0UxX(D8c;&{NNs+_NAzxZcW)Rk+)7O@4i8QZpizaRYJ9ptE@*<i&X
zRxzdkH+wU3fxoA+iFZ@0of9@~{*8?iLY)d<=){SKKcEH72G~HxLre=$9+ccJAran{
z0j|Pc)Q@f)7uOhCZ-;WB&fHnof{ib>_!ZVz$njG;B*eu2js}(;7q|msd~QdZkxQ~B
zNH%5C>R1@xGvumMAAb>4X|9Tfhle-4J53hT%b7)q>3U5^$oOitvhrc9T$`$c7%h3}
zj4_}*Gr!MDWc+#LwDV;P9}YfsiQP?4C0(^+P4j#f({a)BCaV-q5r%hiT6w-D$p*%i
zhbB^9$A=P^f1DeZ7CgRrjt>_Fe>8FJ6%7?gxeEM+Xf$f-6i%SS!dBDqdi43iSLdPy
zU!fG6QeJ84@@%V*`ebQbvaf;?1cxfr<iB+7Xm?HK6Kwxk#3!WYo+D!3Ed`?FjE$Jx
zTwE`9iIbsT5YyA__e|K0%O&3aDkYVJm#2ZLGh=yXj8fvGmB!n}<!jBU?<2_r8h#PF
zDQ7h~-|`uQ8QU78D&@kLxerJ?1ogNsE_geeQm(PJ!!vnOFe0-vXXjJRhGw#b$8t>U
z;W#Ad7$Lf+$S->zH@dX84Ds&Rr4uUI6P_(^MmtiI9{WWxWnCZkY6QW(oD?9paR5#1
zdi;<Ink5uva&4Qluph$mT~(?{MVI|fhHr#W&a6OFwhxZrG>qW;JKR~VzeP%{SCgCg
zm5~ONh}%KO`uwPe&j7QtjYji*B_<6_;9z_fWFC1*>K1wu;o6!-A;i2)(JFS6MYLmv
zOfB|vn)}WW$*zli#@O!x!fAbAvh;_3+e8hilk{AJH{bn1r-Mgp=)QBxFS6Nt(ih)p
zj1&~=&N3J1T;9;jF}KahuAcE&{L3-#>XKc>rAYPsqCBa5SzbZm{x`ft&9zsZuLXZZ
zRu!3?y*PThb003Acf>_A=FFx+@l_cam#KKYRR3x`nd0Wub32Ii%_{WuX_fGMppB1i
z>yg$v=|NbfRCy`fyyd1eIJb|=3PU8^2I4pK*Q|xNg;rHE0_URNrf&6xcIb+Wvu>lN
z;<!#T+huwlyOM&Zu)-+D`GgMCsg&916mI{pJ~TW4E?g+#<G^HPpHE!~2Hy!QKYc>}
zhUh6xXg*quGT)(p^cak=OiJT_=x8*(!GQDxZQ6qUQ}|TB^#nB>B1WJRhh9$&y3?-i
zRX2<HB9Hzpm5IDUv&(C8e(QNZrc@{wx2Tzr`AQU(upw8&dW9h_uXvckF=6cO(hX;{
zMbg4I0`%_T7pNaQJ3a<vXAY8wj*7jPwVqVzxKp+Hp__eFVqUkCLO;wTzGyu+!qd!8
zwBTc}f4;hUX15~Py4W(;N_@jtkvAnNb8}Mp$fQIX)c44DgArqZGqJ?e<8Xj!S8+z^
zLAUsPbYP=^9J>xoT7Et=^VX_3uenNHFFAkqHxol8LL3w4;xZ2vm1gW$en|2`%1=y5
zC4F_yjoiY(3P+lG;SQ<*HaSNd)iCi8FTU$WMGHrZaE)1O%NM8(-acvESej;33ZfL{
zT;d}I-HZ5lqBCjj^3^}&%f^CvuAIHYh@81tM0I;5!f#y09~209!vkEN@m?ET{GK}+
zl>upBGP$EZbp^Qrmm$bZl{+2WmVN0ZZ$9c{GED#&KwArzdHOAB0DfJ-LG;Z7B<Bs)
zz{^DAJ5iqF+~&bb2%DxfQuzmNxu;$@KNOy9_#%m1OS7Cd&@4A;JB%k87S!(3{ifo@
zTv|QRJ(d3`_fGxM^QM)dzXaJ(a3-c5RDbXq+qOzk=AaSit6k9`w(41<8Z)z?x?d?J
zfrgmSq8P)2iZjOoFVi38s@1iK(65erDCM87FjJzE;8{OEQetjN6pES8^G}?RMnOST
z5Iy-vZvGB11h}|H4LMOVO8welrB&e@?245N2^^&xQ@Qex+CoHptPcwg@=0Rg^kQgr
zEei;i;Q7wmv(Vp1!K0zjAuU#0u0E?`4((QrForbum-zcS^u^)kn|BFJdiFk86czwq
zlvrhDbLHfApIE?fDdh=<aqvn|xV?;Dy*=fYh@pR=8kdfh0z1UfgQQuyE~ax~dA{dG
zUevg%)1U@SM{BHTZAN5Sv8S>CF()Mt8!%dsGg<?yF#dSsp6;P^c}u#X2Xc`^d*yma
zA%SI9@GmwOwwO#6I;lw|<B$UDx*e^dVT2LEMTi5ay=#j?!YHFZ`1SJIfUOyeuEP&+
zrdzHE(zsCP&y&d4`6}R7YatY#^@s>96srtsHA1H&^&yeJqIh1&bc(bRO&B-yj^|eI
z0K-uC&4h=J#fTEm^+ivf0M0RwM(Buc-;MmdPS2fIhHE|*{v%2kq2?BTfHx{U<vnKQ
zqE39il9Y3@sg+XoZW4z+!373lQbLR4>aa$KjnNi!Og;gCR0a?pG_J~5(-FL`1|@oO
zURiM7jfd7G4w1z~UYY@vz*cU+Kd36&xW<Kwn}xV)G>9r~>`P*0ztdt9&L-p~;`wTG
z)`~pDpZ$xBZ)+Odkmr4zkzMI-u4{Q;U?T2|oK*2#0rpL#sH}RIm%W%qa|ut#S9BU2
z<Az>RguBMA&u${Rb*O}aTWd%_ZOC&@b%u*8WbqVx%IeFYrvt-+L7UynbmEF7&m!Ir
z>rilB6w3t}!YX3U;1^xY5{LsK3SZGEuE~R@7p97#7_Uu$-0NIk;~zvVMa6HSsCT+?
z89BJhE!UGxmO^hkq`wB@<D`XJ8f0mv7U1fsqKtDe!cc<z{UDVAms77fjwv7#Ghsld
zih%oV;n)wdB}SYwVXZ^ZP_&^J^MeY)e;rPgCw-h%y3FPT^ad>ft|~N;yndn!;`igG
z2J9n#VSCbssY+Tht~}@9b~5zYHNDCDq9eV@5Zh@1$(b-jXSY@7<#a}`|K(G`QRAos
zx!)$^cy3{DMg{7Y`@DYra(*4m3F&ISGHq;{Ur-!ZQUe0=Q6WC>?U!fYlRnlpFtlkb
zt#OLPc^2<cl$V9*r7#uH{ZYAp1_>j=O6ieNw3+0HsKhs;2`9uUlM6pGNGWko%kAdG
zJhW~8A=SeK*~GMo;YKCrI|&6PXdLx81(`HetreTmk1r~@iId+*F4!1zVdSM=#)sNS
z5MO^8T%WelJ75Zt<)&t%G_<fdh~7DCZ=PFLc$w%JMY%88HfQ4vwI1ifsDE2;etMp~
zsN%|2V_1>JcBF%K_bF?9c*o4oi^$v!h|rs_>-MJrrZO*cYOZ8KA>0EuQVz9KgN<4#
z6!VgEBx^R3l#i#)-aVSSgdFyejCj2AX6!ekavLcDCn9+qW$;U`M%$814TbPG-8mfn
zzB&8fs1Hm){of98vDqYvlish_@M_(f@T{+ji6Jfe;vZg@8ddN3Ok(vqnNMLQl^lRm
zKjCD3_&_=Ek|`f-=4WIN-#kI!`Uj8MX}^K_bnjHZ*hW_m+8Xv3G>Yy8U51`ovs_li
zgPXQii<7v1t!g6oQ1ZKG*g~F9`YbOUlKlBL#7Dg;L}VF|*9dw9y@S~C2k9pIF1`!Y
z?Tr3DDNQMBN~*=EI3n#_5WB}-aN4SqmRN#4gUOlobsdg$JWEk-W>Qpj89ivJ5T+ep
zfQw3&2vVg2>izG4%g^tgs0}+m$ZK^Y5~K|Q*-}tw<SeVuUDtw(LJtM#(h&JLuo>Uw
z7dhu>ijxr&V;|ynZmKc^+NN0Di#e_5AM8rf0>Z*9qb0NV#`17VgE@bVN#>Y_3yP(o
z@5a-z+{iXNoUhRf^FGLk0j=z$#b`_ihO*{m?63JgTa<{pa+@19E{~Ug%WT}2?N<LX
zY`v?t3l6@21%Rgxe`>$w54lrOze!-HpbXNk>fpp~K0`V+b>nt^Ya^o|oUic02KlaA
zK)jkFpbl5cBb%1GRprBUVRFfhsg-p7{a?v8{xjPEj_Fv;>Ru%&L3rZLV6a0J<MpLi
z3&O2gD8+)Diz)8lv7t^<<w1&SQN9fQ929viY6L|;Z<<99a~6DuU|_RyP;Y26*xWd{
zdgOnsE5i~L^#=Mnz{~a4^lhnO3XeNpk|@i@o`jIVd3MZR4Wj#wJo<2U<%jgu22HHp
zIcYD|okS2o64ci*S8qM97i3D~Ue1;?IA<1Nc(1XulOIgBRd4x|bTcwx%eGfK#qJY)
zIcbI3b!rrKBeA>5x>cuc-<Ez<pzR;{MDda5E2uT#3Cbj+ggs?W7>+E+8x-S$y$DLe
z(j2m<me!laLSWL|V()J^CH94wKt^42*gJz$b(4rRs&r<Jar(eg6hpT0mCCbGLjB4i
zdF+q40hdj|>hf<_DM>*;WW0*UgR7IbDdOD5%oJLRc+`e?s5kW#LNn0otEEN)>W`2u
zgGx*@+E+M$h!kbwVcNWC48HN~l>teyvT0s4qM6UHvry4>KhkdH&<4;DQ4}qOIPA`a
zYZWP#F?grz`VZVLlL^Quq9hMBiu{FpH7mnQWJ1XXv6cOd5gXmZXu*%4wJ?eTLZthE
z=Hqg)IOI<NL_!?&$g?4!-T|hiIF5d!tBg7Kq7yMqW!pGuu6Xc1ca2Pmn!fEvtpK`N
z`1Ouxd=}O=KZC~NIh%voqOKtW&qFmOo{Bcgx(>mYfEiyc*jS_0ZuXff9*FB`N&r&!
z6SvMh#5L3%^i<uwG!IP^!GpAl4r0Tl*02)qAujd}_eo=mGGdR^WzC*qy1p^iX3@;j
zAQW6;YVg^(r!InM-|0T8(V1yB;ozIW2!w=COof>Hk{rqMLShd;+b;mIfX?(QZ+StI
zT5rtd9romYg1W87m^giX26c1A&LP{OUGCjb+`d^m*Dda^WR?S}cT81$9f=8r`SKaw
zwR6arKcJ866idTzJ<aBxImWt>X$Bu-C&j(F{rMry<HLbkvc6u;;sxwOb&oFRcu3&L
z99Yg$$bL+oDOz)TIBlJD$5nY;DY0DbjOesK8iQ|5jQ-I?>sfwbU}~d>+@XlBCk()V
z$Af116h?O~k&o`^#KBv27I<ktS1!`_h|bVoI#jS7_3yvOSO!|l^J8?c@71Z7&(ML1
zKAj5k4-Gw$0h#&fubU*SN`=T`@Evi`W=6iNJ5jw9dQJ||S~kJ=K<yS!6I`DhT<1WL
zXG(xG(FG=spWs0fU3TE%b@HobhpTax^_fpW?TLK+8x#8%%N}&KZY<RmwxmBnS=7Cq
zbBEfkeV8Kju6Ta%;0>x9@-?Lox4fE{cu&)<GRF#6HUrQ|f{l=liMa}FiY`mo&-A)e
zaesbNVQ?yyi*00F_zQ4N-vW-1%B%tkBIH$(V&nZD8n}WrKYBDPf1XXI`)-i+HRd<A
zjzTEkA=7xR*Ae?72s0Yq)AR%`#Yuv^bM8LViI6$QiaY6!G=1FGjX9YT@QyL-S3DQ>
z0*dv%!cpzS0RXx4Ymi!p<`6Tb9gB+nrNlxw-g`y%McY-P?vBA!Cye)&mpi8|k!7tu
z)>l|lUJ-!w?^72}D8zlS*q4{Se@W3Xmqq>Tcym}`11qRz&txr;EMMi?$hW*wlNNhZ
zmX%;!@X@-9&bML7z0V(S2LB=dz!rDKFt!-GS5b$AnywFAHauJ09%D7WxP|`Vxd<~6
zy6jRr`1V@7X{b6#n+l6JOrsw!vi9WYI<ab@bI^rt-m{PCrn;hG`1bqa+z^cPLHaf{
zmGOR9I|MpExUpDuSy<Z4sDFp+u`juXa-CP%YfM)opbK_MyCX5oo^n8H5W+^+q!!dm
z-CQ$@sylQplle{V+^Y_*E)<*ARhi3b&~YPQOP21QqtB478f#ZAH+Y|RJhkCyiE_me
z*ec*I32B>+AEP0z`mLf-XlXjCg?EYKycgt4&Co-YVu#c`zAc&fS@FMN<>_DX1vI}p
z-vFO-vbS_M>A<QpGp|C1$ts7XM?1$pKz8Pj34WzvJjWF;?>054I59Qv#^3blvs6Vn
z(;Ce41KD#Mn_c8Q1sXzk6A&`Kduvyl!WjS%PlV=^G`rFrfNz8LOPAZ-R&6^CP%2CF
zVE)a8+IIRR?)HSM8rnd1R1mxzs}w!Teko1g;=WHFPw$-#=1PEHxXCm#iVW+Y5z=gz
zu;U#0D|gJ%{)p;RAkC_~`}mDcgA&MlL8i+d-JRfXF_+T0eqJ@CWhs^{np8AyWwpEh
z9ZkW{-7pj26HnZ$JlCpN5wT?>0JkTeF%C2&hPy#Wo-2Q3HtAXGQ>oqYK#oR3zE}Xe
z^en+8yH7G`3k%ki;rk&N=WergOAnZit!his(~?J1o0<FIAG&z$xFC~omh^8=6w<x2
z;TYy3o6}(Rxq&Gw^UI~)8Cn|^$9*!>&tr5LQZtg0#M(0_ml@xY0Z!W=A%S8HFCP-C
z+o%vr7mEEJ>tq8v)=GyN?KU_>=!d$V)H3=Es+1ssbou+H!kN7~Ord?4!$BDvgTK+)
zccaH#Fo<NZHk6vn<s0RIv1g?i72m}dB-VB_aMUPklfb8>5ix#_8{U%TNgghjdpaBh
zL%k7A&ky4XEtPi7j_el<bxBh02bjV4%?BtyqR0Z$?kd2$ovV^#a`^WjCGN!+AsS}m
zk1TV)mWzai7SXoUm?&Pstgg)D&{{1tPmXIFfGp=kc2&y0aGm(F)SpL8W^INoz5_ti
z#})ogO)VWCBxzTDzSK1z1fL?=*?0bR?r6%V{vTjTOf6Dd*;%^GVhW(r+Z{?#D_7QY
z2AI(r9$R!MUa>EF3V=lBUnXo=>Ku^YYNhY8MCSY3RDyt@%*d_kPxX5RDhQA$5>T1w
zK&Iu$o<2z{@dB*7NKvU{Kh&QB+N8V15-Fcu<TcFvo1=FdD>G&c{^fS<FOLMSvdjbV
zZXUwRh<L}Q#+BUW;0hhXb;|dzEtoko=vMEGxz7TdUHj}P=Pn75kBOr*ml34bR;M9F
zk7_L2i37nq3AC*$gEOW%h^v+OjR3?B>-&g&D5dBZJbSxI1(EnhTcE2<UDU1i8@YT(
zH++J$Ze0)(1)?MVv?_q*j7SN2Ee+})Z(%B!=e4UHNg>~v-j)V!o7|m!A36T3sHIPU
z25fHH&&mbYJ^J|pP|$1H-|QMut~ksnmEBYWHy05rK%ij-W|k5Y9-YOKm^Q1p*5alr
znTLAG*13JKupot9l$A`Lm^}$Wj3(t4>?083#lBQRzGE`KXLdq#JrtGpV7<gz>*Uq?
z@Ue$t>uSZho24Sk^+QmDV49d7Ob4JJO$-w_VwG)FgQ!w!hAH{EMAEuT88&8K4ERo|
zGUTxMTd1X_l_ji9nMj4b3K@+=krFP>tI99yFWGm7kZ3V8+;K?5*m+%qZ(n><NPAZK
z;~@QKzd>uJQOP}k?&qkP2q<O6A?y#B`IIMAZs%KxuB??a`CJFk3KwaH49HD*-X<#s
z&{QzXG7NdqCf2J7vhBa#a;Hj^8QiZH9`fiUhjziF7ye==pd^iwYiu7|D__k!bGg4w
zU$Adp{6%@_Gj4TxWy6w`CdT&;>)T+}g22uNIn98}5140v=dHs9yp8c%0>C08L6`RP
zNA0W7`}wlRjL2TH=c@v{pv&7JvlDD2dZ+bBnfXqm=4v}^+$^BW&qAA^BK_fTO5a5j
z+|%N${FW34gV><QIbQ_lRXLBsh*WGSWB(N(_K3xw{tW6|x0Z+blZHl;`saeU$lzr*
ztL*Dg0)+BSI=`t+H#!2ar}+7|zl{%uSld87{TTSiA*XYN?c!EOME`HCp`jJ~O^H|<
zhgojwa`74S9S6qeoa(=Jb4NmLP0Ir=^Hh*#-K!W+vPmCQZo3P%VIVaM{k$CaoLtYO
z-bhCZI@qb;oX$j^KI=rKV!db8p!j@RwjdB3;rc_{O6h3YLYeG$y<@BE=W3lA?UV+M
z#Ejn?)O6iy${Mu@-lF@#+>{U@L6HNnfAS;6YNTu5ATFMR2ndtplnfmf=}la2V?i*D
zu=CwbxTonOPO6GMV*<SBb-KpZcqYBMMQS~VKG-e`JAy*;&t(!S7#mvb<9_MR4s?O)
ztD56@JvbBz56Mjm4wuQ|PStNUi|}eJ`>wo=7fE5sT3Y!opnsu@vx`YA`w@ot`LaWA
z$VCCUCMbXBVB?k1C=Fwzc2^?4DSZJW_o&_Hz0(kH^S<fw>K&D|=#TQoT`}PafYfa!
zH5|MWW;@G2R5H9ii~pb*#7Lsiujx?q)=^g$W3{zVbBD~iX^*inIo@@4pI#QB42G5Q
zyq*Lq<rfGsxodyMRnC@?A^SV`Nzo^ka)%wwtUg<Rmx<2Aa}83<FL~a1cH-hxty-Xj
zYIXK2l-!afiM*pj&*^J}Qk-<fF%#ZpNHhLgT5VRb<?~c|cI<Qb5nEtZ^IBn{n|a+L
z9vNmSxPx4ZSPwt5xn172gcO0veGl6EDGBQHccqbf;IkQF{-JHeAhzO#Mu*Ggfz%To
z_{8)yEw=G-;=2rq=e^72VP|P(RhYf}C`{p3AeHoaB8N((a7TmBy?;Q6Fa>JHJmZTD
zV2NQECYU_NX)1}hF)z?#)OuLJvOv0RkD7m)!|nKSbVb_4hZ;TtqlsN<eT|M%7yybl
zd>bkywPd-9@D~gbCWEKQ3J%8fdNkiXG#Hj`sd#!n>lGA<JzH*Y#f*d>&4HS?1nVmo
zZ6ukRUX$r6qZU^4^(>q~$z^(TI~SCLsn1D?oi2oLROg|9V(xN}pS&fWTyPbt@)6{a
zrtd^NW(IKmB6PaBeJjM@%j8I{ksS&GE_-btHF(FBA}~<(NjgS{v}LHf$eA0@v0sF%
z!bt14*m(gi^Q5N%dgytIMLVtc36j8H>CH~|Qtnn2>16ntJwHC0(L}r{Z4nb)^6MR~
zML7GS6R1Wu{?%KCamhB41>^OHRCbZru&}T_g6>A!4>C9?ROr7#Y7!$Oy-Yr6oeXi2
zYhZVTBdBFYZ>zUW@j;=+HgwkG_WR)z(;75@JUDN?U|N}h{z>OHwfO;BI4B+bO5n>M
z8FNR)>G`fU>1V^GVPM3Ys<5LyQ>(akDAyYKdnqhXats|O0nc0H!yD>~j0_AzAV+>$
zC1;WmMlKx{=DjJy=+M;`?>NA9lKZ7Y#?kOflc97ks>nlU*LjQNeLKssbx#vPnxd^>
z<7hGC$~4}+CY6*Ds#4n_T}x5W5ll@*V>Uj^=_j{5CXQr!bj>1vP}_p_hCkmOR=-r&
zl}9#g@zbL-(+3+6%n%!8)b<a|cRCSSCaU(bN)Be%+2rsUWFhLPjSV9NdL@=sXYm8a
z!J&7D>`onN^ybqaKLx05yfXoF%p-Y%46Gf``GSnctu*lA%H|%N##}eDiFlB~ud9@S
z?-WMpb_)XHx8MYTZi#v6EAlbc8<=oLpp+)YXL()o>iy~+DqU#Fppe>-0I(=;ujWZ!
zG#aA~os&iireCd#Y9WCe#qM()q)d3Q2jDkX^csDpvs>yRi$2M9Tmhz#WwE4wlwYu*
zqp3cf#mYoC<$PUtN9knF6eYD^Ik^1hs*g4}FhG}N?e?t3wR=@J<xBAWWRCQ=Q=Fe~
z##0p%)^*cd%6cp|?Ii;)%}_1#0xr7{IUYlT@zab6I<z|CY6?ou-i*ua5!Sp1DMqB<
z)b2fRd?8p{(*ZE(`7!OCeP*6xKuQZ48+~~>_cvQ_V6oNIR@wJtPfpf0Ok8^`&$D$E
z^T+dRg5RG3kVec|J1otj`qaBcUH>a5_9flPcGcYFz3MagQG)jtG{oXaHoR74UZKBu
zR2pHH0a+9;j*=7Bv7|#%rwyt;C0lsy+Skpg%RzrK6001!aTJH`MB-GVD=}N){pn>!
zS8XGY#2<!h{v4@KyAKVMuUx6;@dPi@sgAq)rEg^v6w;6?Wg9hEH1-#D?bqzUm*;mT
zdUys!-{3hQ)gFoat;F@TzasJq_ioj!uSY*(WuM6awf}G$tV7qJ;+&zC5-q3Kg(Nev
z(HDErS?K+1InUkHmdNQsjy^e&i@z%lRg&wg^>W!L1mOiA{x$9*Gk!!HI5tD5{?dzl
z6-s_g=JgtYkN=S(1wm%{NYl=Nc`itHeO|>kWE2qd>!E_+%&DI=J^i;jWV+Z>{LN?-
zLm1~tiO&fK7wMR25kD3XHlEy+20W7O5zs#+!XD&R%2H?a=R5u3?Cf@wOLcZ5zorX#
z={B`vPi?2R{{DG|&K=qC=WLvZMyUA!_KpC=GKBssh(FIr#=^^A&0QymF?zLf^SU*h
zbrcsW>}p)_Ruh`sOCiTsi-R|9fHb`^{8pf-0GOt96;MrVHq(C=0+cktfuZ-&LXDYC
z&lxNVRu6a6@ca6b;XozJuTIe}pz@~2?8N?Cz$Mt`Njw4Ef0ICP10eIPFIi@`&q|tD
z-$Ay&g3x>3D)+0u9U9AU9S<rB3}?k~-%D0>s%5tto0mYcd)cI;AMpcQ7sy&6HOuHW
zZR*<9wSiYutWzs6B4h$7Tp9C8WFg8Mz9*FruWD%tc)aizB4wsCzCj*6XQVjepMEs1
z%Y}FwSjfoXCbTw|TJar~W*#P$`o_RV8rpGZ*^9%0+tg%!U7dC&Jf4{15<FjDeAm&J
z+1eIwZBxMY6}2^h#s*d-(tBPKA(6F|aLum}CBjH@5b^HqRFyvd_a1_=_4m7DLl{kZ
zV#rK*)1lwkKl$wT5C_Fh1mg~)>$`m5)IE=rP@!}=Z~8UWt|O@T{m3to>A}v{2{y$t
zqsw>x=eLS;@g5_xqqsCbKBDc-7<SqWtJT?`+G|(K@8j-aUqAaWHPUs_Wm(Y*r?=E(
zZAWi+@}}7BK;7Bf+&U3o=^pIqn9?`vuX_#}vmTo?RfY~zhrnCzx&L7%67o-SvZnx9
zuXJ3cF|#+bp24c4{?riqRr3E>y6T50zptr+v>+`Y-QC?SEiEk~-MvV+w6wHzcf(Rk
zcS*z29ZN{p`|$a`|G@sR_ug}6=FFVOQu#A-OTmu<ZL%x^G3K>7`;+cr^uC-;!GO)1
z&zsR}MU&R;Worhp>t$xaRZVSHG<^P<!eJ~#FL(FR4PyO9DuU>o;vE80(;185wO&54
z=5BcNC+)uyk2j2gb55l^&*=$9%c`7fyaDTT)*N@&U9Gb6AYp_r{UnCA<D0d;%m1cY
z_gI*AEe97{VzzRm+*JPM=LmeshW#$7MM+#Js*n*)3VD)QU0n49`F=c?Spjxp%++r=
zR4BKsj(<<s*4ILbPt*ys%C^hv4rKYqh+R?NL<2^&+Z5jWvr|b-PC^F5R3yI#><RYe
zpv~#N`%x0;TfNK9T4!n@2@qhM545Ayz*oRicm>Q<)K_|zP_HiutIbWFT;YCe1aW-`
zRv=fhEXcWw^ZFiSdlq=1)!XJ$ztwoqI>&`o-0tGq-H+B_-|DC-cPRHCO2bRD9BJA*
zJ)UO}i2~*ylp>P57M_n^O~m!~qe?!0^kC>3l4ni)%0cmvPZ4^yE7IcoZkNqOJZ%NX
zl_!M-*a@9{z{NbP<x*$dv47mZFu-Fr)Dw$;IbUN;FSV!h(|bO89|=q>>EqrSDQEPR
z41DOkr2`to%g9icc0KPI;a_lpQB}*{`}GUlnYcrlr{1Tt85QvlT9cm=sBlOft~1X~
z_3JEwv%UY_l7^TSD=RDp<f`K#C-wUnT5z0OOQW-`-UU1-bQfbpwlPd{=l?tk9JAjj
z?4{1Y9Uo!Fd;YcC=I!Cl(<DxKKE@IC<IE|>;5v;m^}kB?J`KQQM1?{40jYr_okuPf
zIm1xY+d-!;YT%3R0isuSBhgopib{xuW|FJ+E#$UtgL;a=edNFR`KS-e<UgOY4&ET6
zsOF@bp97-h%MBA2gWOXBoJ2hpjz;oTtNWQG!~+pb^QZCaPW@jrA%)M#W4O+hB{g-z
z?{@P))<L-*0=9U%6~KMOqOe$O!vJ^B6-l5&ip1<^R{SeVaL&bg!@$@|q?P^CNqU%;
zv`sZfKxn&B!qvNwg;kaM#<^;+_3oMk3RivhLoT?=jP?@P{npONz<zd`qflrIMFW%#
zD?3vTk%&-93b1He)b#)oEUe)y(*<H}@ZlDShycQ&1n5GLB=${rlSTblx4e??^eq-k
z*ulme{t3VAq@}Wkh7qRYjs&7%1j%E74|8jp7K7sC&q>pSdUedK-h+^s#sAddXjMLq
zRi#swmVQ}Y!3Jsd+IqPKo$m5cmFe)xq_~D=ognXDGD+znZ|uCg08MpYP)Hj-c9`!T
z$98LG7oZQRWw!POhS6^o*Of#q=Z2%n-|rG*>SHz##IW6WA&vJY%#t2o92z6pD;}Ja
z_}%BTqa@)G-;<^T&@YQ_wvWg^t168Og(Fk{<IEVuh$oor3hn)pSh{!8$lX`BuQGfF
zrAs4t8p%JjXv$w>hh>a=FodFc2xU_%rHy_yVopZ``a}-r)~M{Y`iuk_#7Zdbt%{$V
zwnEdTM=$X<aFGCI{~3y@>(1<(4uCxWl;jC0@R>;a5TKKh)ZsmOHvKPI;On3<OAv(K
z{K}Y;?fYG!ToxVndknxVgz-s)^N7H01irsOo2K1Ei03=4N%M4eb@2q>j{)@fRH43M
z6y-PxFCCU9;Olpd+C3uwRl>s5Q;x55@BQq+Ramwq3RSGSlQA7FC3qQ$W;xr<-(Kw4
zYf&7_#CU+eb_sS*1iq&vf%?S6=5cj6rumi*3R7-Bs5xTHaF!>{;%a=htvzP*a`8$#
zI8D&W!k{<QWxw+WH@Ii#Y|sgTVaM$=1lI>#dJF)c0_2Y{2JtwFAeIb^2xr`WzDmB0
z1|L2;i06R#s8P_1z>Px$6Qu&n;{CPJyW<&HTHh1a_S(%!fAMa$2i^B9_PvLCppt`c
z$4e(_c}tupaX-%(*4OlIY5!6U9`An-0Iw^Heb(KKp?k~4qgB8MKK&EOM$Na6MmO+x
z>ydnHa(^IAe1Z0biJL258XsNbHM1(USIb7op?YZaA6S<zr<hzgc4xNE2vO8$AauK?
zEt*&*p1J3*cbb2=6is@lgO*h8cAwl=di$7aN7)^X3_9z3I7V7R26w~m9J2QoJ$U-6
ziP8o~`XXX&%&|6F5UH_SS4sLwae<i#qb^Ha&yDbSjr;d%y>HszCfO$2-EFD3{Cbe2
zz6C5VsH4;oFZ|<A3cWuv0LBlK7gI#IaV}AGO4KxkvNWS&8Lj~2Yvd8F72s83mf9V}
z(ZsX942BO}^pcjH!FE3USvcOv)BJIB%lkTPf80|IiFIuSgY*BRRH|6e=2IL6&~VFv
z9HL>}$Xw#$nce)Bbry0AKgFuhheM>L>~7e35wW4j{+G;jbY*cyC|Oa_#iVKTY1|tm
z81CD-HBOSgS4?->pI;cFKBi&(oWNEi@a+J;Y67)X#0NijM7RQxFV$piZWt?NgTr)f
zKqkP~sM3_3Wijf=Sw9GWmoqS`vERgNlP3!>3sP=Vl?D~@5nSmE{L^(R4VKRsM`dOx
z37q1NqLYk|Vj-22?*dBCtM*h<;&p>Gr*h?-#Ig_weBuZ15UKp4IvDcep8i|7O4<!R
zhk^SGOem|HFP|HPD75^gYC1p|0rIy9V*s?=Te$<KO>opdC^s{j-Wxm(%LlcyH7{g*
z-k9O3lqCp}vQsVTg8hVFcsPUB_g6;tcFhH`-!(o>)olRTfT~qLo}2?rjP@@14=VUn
z(P%F%F3YfI0_9NAQ-{anrk11z6oM9Cp?EU1U^(yUMpI4=SyFs(`aUdrz}x=e@W!MH
zQzD)#lAqUrT87ssNas%|xFu)gK)-6QB#1zlUA(1=XwBdi-do#zQv+^dlViZ)40sJn
zCsmYR7{VQV;WwJ^ox6I~OFN@LS9CRhTbS*aPChuuIpjs%$Ve*T;O+g|auapDq?e6R
zhWe8xD!=P(_|;Iu`YsKub4jV{`Xt=0&)YNbkfgIIYgzF(X9y%4qr%;{8S3p4Dl!6;
zpQY>;-|Wze{En}~f_@#&Fp&`iQT|n*^tUvg6Tg!EwEr0vzJihPEM+{e9<6U0^aIXf
z6Z2M4PAGL?_1Dd}xfLszDG6Nk*oisA@_t}o=2YnTyu6=S+|1^(=_>WqfB_S|TpVFm
z5#u$?qE@95vv-&4lVt>~!{!0l@$0H1zU0*&DDFGK8s=7OkJbLOd;~_1vo1aAVeZ$}
z|4ztsQP;r;q}Y(<ZNiqvJt(f`ES!N($GD#l$0O7rbJc|XwB3<tGSp*}{U0bYhIxEk
z9!O0MDNc%wVU@gdD2m09JvbgI&dm{U06hAEWklQ`K-d}-_c@noJCToMyRPL6ZKZCz
zzUBoIxpF82<{_np^2@d`w+h9kxq{_b<hk%}>`LmM*Amby{vr<nE=R5)ca^rY#B)k0
z5-diWOqKwsS5+y=OjSL%BRjpZ|Ar9pw-u$F#r2A9Uo*h}OK^qS=zfq%mOj^rLs*GZ
zkbw&^5oK3X?alrosRio3C7}#?AA-KljNc-UW#y22K%y(Zl<@!lrwtvOMYd^S9u$x3
zrkShx*>Csb6}HWDJo>Q~PL|)}x2SGD6HK#1b)Q;JPU7RZKGKCJ6pXePbe#?7Z#*X`
z@Ns*5`k?u9BI<*WR$LAy5Y1Qt+RqTaCbQYfFXxF?4&}wQzIN`kAM!6(jX`>Bge`X`
zo{^ApEifDS##jLmG&OaX9Gi}F!R7ajBWYLM=wdZpNN;%%j3Fr~u8IGvBd6<FqZO%K
zHK@z>U?!TF4CrPyw($|OYqY!#|Hk4zm=|Qhc9tpRKu>!p-mkJ(zJOc*%`FSooX6sV
zACCL?-LuSca)9{|zywv;)~QLL%~jo)DT+ysSU7ANJ~}KQk+X22hz8ky8;r<Pj_y3;
z*0S2WxJZ?NRP68i@j!_3L~-B*DSBMSkLmfR|NnjmZ~gc><<;6<B%II1uYRtzTDl(x
z07$xxQ9yvBsll-9^^6Q^91qkAnK+MH`U1Vik;rpAK&q^Gb;7t_F|Dxp?@ud#>Xf4E
zCkb4qR4qj$`y6?((~4_S5D0_nUtrlE>mP@o1Y7KA=%vEsRcnBT##=EX=Tt6wD)K@?
ziPodaxuWAvGs!SmE5v;0B(~OU!A4_P<Tl9*#>QL4`IkUP%chF|x}0=|4<st-mCGXV
zrUUA2AGU9?PI|FOTBudj!zA^%J|%@)`5p%)$r_ji$qF4*C``WM_REaajWvaerJMd|
zJ2HCzk6ISR7UVd<_9uwjhJf;$QY+fUic{~6o43vQ&}o5vk2#2aR&~;V(K4aS0JkAA
z-^xi%-nk;t3{coRw1wAZwoGU7)(ZWk@{;A*Zr_4E4X7C=l7&frOtH_3V6n+GyeTCT
z+3{|41Gh}3e=kruaeTf6`fL%p0@Vk9{xdA`cI?d1!0|SlOfQRR;S*9X5oq*SXRz&}
zOZv~>C9!#y&Y$u)1y-R&UY+I44{ZV%8LshP)!w<>DA5nMzd79S$|%T&Sw7pqY`zD4
z=L;2Wkvz;?qrE<toomIY9VXok@MSkM{I)2q`@n{1b6wfItzs9KuV}$E=q!Q;@f4u=
z4|VfCA+usnegr^LlHYcCK-Qo4z!V58!OOXm2XGMu7JcV(y@IKyKJT+J!Ha|*MZ24L
zk3C7HkcpGG0K`t?yku1<1zA}!SmxLmG`(*+@I^+C?!~KVP6mcE#BQB}ajs{AXH&am
z#ERtE7tqhfMurRrJpYmy@|JxPEE$vM@6Z&IlKy!vty$M_7JEu3pp<-Y%5}smW=$LX
z-k_Od$O#Av=boMZSXJ>{9siLNHW8jY6DHr;ip($>D3f^K7Wm$<ZfO~%hr8b#+3`=1
zd-{Ko(!^5|rY*p^pNhP0K-j<%xkhEqcCaH_*+jN!5O+2{?9rjITswlX>1D<!@J5#+
z(OsBE2{f&_kzPm*+B?4)kJ8XMqoHa1=&p^n(d=ve`!vV;Js16SxV^@*lD7GFWAQ``
z9a!8P;bkiBt;$#9lT~K&27Tb+;EN|~5@XG~9%HJndmpS>58ouSY<BnVC2>Va-L=tV
zX~(;l9*Eemj+!}2mguJEVCEbLGpCwG_zcX%oXCHI=dz}Yc73-g{;FY)`NGB`Lk6%W
zt7bUGP7^P|rz2PU^SIefIRphUS52Z!K0X3drg7Oth93t`nRtaI!F(Uc85alfX=WY_
zy|dKg-2w0=LLOLABE2_~UWV&rjjBn^ZQDIw4(-~0H-6sVd@9Q;XK(fn+|zv@&3+-l
z$2raB?!Ch-)7BLgNCln<{jVedfIuF@-XWlRFXZTWvl1&o43v#g8OclZqM0K>dkuc{
zV@z~gW2nqas&7#*sBG^M14JwtCjiZLc5h=q<9j5rth69tlzT~~tB8Y4YLn&kf!eYx
zH01%95wublIC%&D9rU8Fn*2Mx^8C862~Wh@DE>ocsM#Pf=H&h4F-dc+iRVk6%@uU;
z(N?zC*37`TMjq5C{iuWhC8a0wvUVHyHJ8iqgPsAd?i^h&X=>%qVT4LQfPQq><<Bzh
zFli)sqe}s_oaOa~jmJgtjqn#WN%Tw5M}qa0M#8Qj{JVoiJXz!B@7%1>RE)hq5;wx>
ziJw6GtY#6b>W^^LMO7NI4VdRF>l`qZS88Gaf;AxTY0uK9<m4>M7V&)-5c+oi!P=Y-
zR?()LdPyo2l$edjuU+V%ws+?H^#%4c&D<+F_*d7tAeO)BzFhN>t0Mk+kTl*dw0yXC
zXL4G+6~+Vvz{3Sa3yd4m3Wk)Y&2otdl$E+*n$3C6EO^z25=I6-wiPY8^5&B<@FNPO
zW?GHwI7;V9{zhf3bDh<woX$U`feg#fS91<IF+D!Nzif%WG^Uo|QLqTb$8xbcYtpG|
z{FscEZ&C%LH!^QRb~gb%>oShEm%s|^H><z83q7C5q)w{3QBXn&F1026pf0&_`(Wyk
zMm?W)VFm2D*1o}=g|FowJK^NVX@B>9*5%Oa_<LsTzmfj1P@Vr*Be$>&sXRdtg6eUZ
z0xN_}1GQ5u90*V@3U#Cf);V~fiD7}%;OVa7;)xp<q)#Wq`zP=OyyE2Y3Ei#Qm%?55
zk)!amzkixN$Zh;OB{}<Y==iRJ<lr|0HTWLO@Y@bxd1yM&q2G;+oU^edJ(a|UzOM9l
z*%vm1EbX#if+Ec$?0|4VJOzGUqUpP4s8j?2hM-9lv|p7t4hY^CFES|`_|(YX{84rM
zo*0OcdaB$yS1{4CU`|&4?q}589(Ritt^Y%XV(zf;V(2>9QAhe?QPlM*l0A6oWyt_Z
zaunc1v<KI3^s=mYBe5>p>3!(ZV|v$@6yYR-wZ%5fC+rOOeoP2s=B)>E%W`2+El_9n
zaDwcLJU<%r`)K9mgsa5f`uLHP>Ej^OOyIfjEA-Q?n{5YL=P%%{)XyIr>UAL?0+$8Q
zDlL-PlUCYW&}mg%XuqAJ@#tKtdD9E@7bLvyYb!yZ`&EKxUQ}zRxh(0f0yt~qnc<JH
z0>6alx?G2WOG+C6b*5;w>83*m@?DZ>WWlrW7=|#doebvo>>$1Om}Lv2iJgQsesZfz
z9t+OR$+`3BA#@FkPd@%M#<99*N7V(D)f#Z)%dq2oRKgP-S=fmZP>86>jnmFTtabVN
zBag}e**jn&<zcP_(cKCau%E=@nOUTi08s3EIbW?v$3Ittv~m-ht~<LGxFl#yEmgIL
z$4WEYchTlw=o~q>-Doe0bEX{xFfG(n2UgE#p$=JU7;2%!#wC6`K5SXptP|xzYaM^J
z&#}nILllq<s65nBH4#o-rp;?P=`r#Xlf9TOT(S=7P2L@rIR8~C-}KWbB<N$c2-tHo
zRc?5tw4@9W2M_$sRUy`Q57e@Yp>x(!hxW@mJ7;r%^Z%J;V*^WKPba14+P(S-HMLjD
z^$P>6LTSeA(eRN?j=t#V5e}Dsb!+|cWaxDw*U2^dRQPpu^>#Q-+S-bdytBUbRZ%Fu
z(LZfk;WJ^)qct+v-|F{JP}NzV7NO&}O`!h?qF}|1ppEILPep2-G!%^|o{qglQ9*mN
z^9`>~3=W0F4AsnBl-**1$O8Gwzw^E7EZi4o%o1Ct^ea1u>9&@A-Gy`QwTK)0d@Ku-
za=ahfg%WAXb>6mtNzpF=#t6sK5w)RG#iF<I6rbSMUah0(scpkB1aBjOd_BH;Bivqd
zW%uv4`7B;uX)W9MD23}Vzzz*4TkaLLCe`Nvh{9tZDJ6MX?bVZlO4PUv7~-$mGo>4C
zShxbo9rPuGUbnZ8oB!DShwvk$5Rk^}zo{RZ@U(nhi5QETjNUpCRyX~03Q?}ivbDEZ
z!i5wgO{ivo(_PMkzk0pu0{jW$=JxUR)JBC}SJ00x-)IZnk=**$(SZ9h&t~p2)=y)!
zZokd{c63ox$yQ6{8A7{@#dF$z&qkz+*g%Bp^`9WPbavACt`A7#tp&Lwv>YnOZbu#H
zTR=*KM8J3J=rytPmXiuc>(vVbJ>r;#JH=#h4o1q?G=sOv>|4^Le_EdD-EMr+JpTu5
z->p*<-3!aqKz#L`Dt?z9*ok4}g60BTg@PLK8#lZ+d9?qD3hIrtF<}>4uJ6RAj1p0U
z*-{ZlX_iIRD1ja?_qLpHV_iw@Cm}+n7%8+~=lK9r1D*5a`WI5vtaGX+GJ|7|nu|2G
zmWxL0Mpx~dE5o?)hw1lFWO>kL=xLwv=ZhD4Mm_vU@7EWHgBl=RwR`0`n!L4qLH#F!
z8Z7&$qJv_S!K+t2-UywD%xo)3{EGce`FpoYKXY->6)s8Pc?GbUB%ApU+}KPpTD{)~
zkow;R+)69JL)E3E3s54!EmiI{Z6E4c*vk0hpe8GE&2H!G4rCcG<l2|Hb-0{aD&Y0=
zl#NSPw42}UJP6T8vb`m@#JSFSUKD<8*%h`(V?s)4xbo?*dx&aH#BT@6Ns*4&4<PXe
z3(vBiFC(ZXMiS}Pb-~y`gs&J6yH+tSi4ycV;pb6RpnI;F;Z^YZyWO!Zf}c(9?CN$o
zmdHnPiRmDM@8Ip~j#`(<dTrMklmjPqV0@p?)<`QEuT;faQpahH>Qm}>a)5TK84>TO
z<y)a_Fn0~CLs)7w!|-up@fBhNN7UVj0(|0SS}&^%k`!~IO)3jx=)&dCQ=*{@5{~AL
zMzV$xXT6IOq(Dr`MLHY)4PBgU4LXkAmXph60$fdHYuVHSGm$I{Wa0u`+-*W*-?`Nx
zo_v9&Ca}IMVlC6g&k)b=LCMDz!!0g@Nf3N)U`b3szuFsLagqymEGVzYfcc4YO8z+G
z_$U4jjUB*@`u2`vt(iRte_STFdqpEOKfSQ`>ofg05L9235&ZMvO9np!M4<#9U^zLA
zG<UB6o^v>lYIF3Kk$sD^QUcrXnmmt7{eR*7)$-V2RuBl^CMn<eBCfaQYXfuS-z(mX
zcvHi;GuD9{s+@&7`1=p|inAWIratq0_Viwcj?KT_a|J||s97v#%It2m_o-vTtwb?R
z-VhYN0iwS?e>I~j);hFSy4~Qy+)V`pXm-$SC$+#p#h{hE?;15AVX1)wY!2gg9$#qj
z6@&)&V@HMi1c6-*h9Ght2WIcz)uTjdWp@-AcyY(vY@f%S^y<z%T@B4_p#Xi|pEPXQ
zqu<!Yn%$)rU`%slU1=oMpNtV_#Cz#l>J%Gg;`qtE&!dDHk5PCAKBYVY&!HgC6q3V^
zxvkZTF$LAIfo)11)H+^G<^-YG*?+<w+zTSuga%K1q436Ihhy6+CliP-BL>ioW%Th3
z>Wb%_ITDVK0*>u|L<77ie^_X;gJGT5J^qjK_>C3T{nN9P{c&@VZ(vWq+!{pO$w;oY
zHzZIyPhKu;c#KLq@xjL{<9Sj7Z{pg}enXWGxr7Ur!K!%eF3-Q$v|qf#26=Br11n_N
zHhu`4vTy^GVV(P9kpH!Fv5{sLBj$1$GvR6Kgu<P7fq2$rQ`%|Y#!822tLTTxkpa`4
zC!KRx&WPUS+dUF>b4&g!NXUUkxFXTdXjisex;^q@)ykq^ZJdYK=A-~ka{7q8E?w!`
z;SS{Ilr@lnK3Aux5e~#I_87*sFvq%$TOCzE$E$BVF#Ik^P}ie;2Ry5SuIb2Ov2VFy
z^!$nnlnoxWx5so_Yyj$*!!`JI#+vXwGx>sqi?ORs(7v8I@(+st-w!~%q+t)pLda|f
zYD7tyTlMAExPTMFtw@6#JAc3WY{FR8vJY(S!Q?qpuvBglC@m=!!7`=Dw#9b^0rdlz
zX=}|28(8T05rtH2u)OhbzgjpCnk6tfLa7bR8a!U+zrTf~iO4$CdA5{-OKI+P<U;TS
z9UPaIxsKXeG#~x+(z0|iA{zd19svGgV9b?@;3Pf89q^!~RI6m}aNSH9pRII#z_WBb
z*=qEY4hRF|&LHD$;?T_DeE9+4i#I-4ap)g#R@$YsGq596hN-Y7{wb9y(F$T=?9dhk
ztH-C6;L%tI%Mq&9Xr<>Q<(1TOT3^Vw9vUjOrK3lG{VmuUd4E-7lg$3$vpncV19I>0
zzMsUsJQYY55x^H6!F*vLKphE{1(`$Qsc3IiB%O1xmRpmzC7!aTa>>DaI<gKQVVpb!
zsUsc?9c4I%v8Vu(>9DAk!Izz=o$nNsL59iEg87zyVL@S3;HZXOKq?c`9wA2i@-yoC
z0vJy#f;`hDAMF(4)EpXqM<nePV68}ycp6K(G6Y9xa$I`j3zG-oe<+o=xFYx@=Kvox
z*Cuf6fq^-S+ZHqEip_lMi_^cc(p^fik$Fl|AOBzD!U#HzgE!l&YqdB`A@XxD<A45!
zT(@A$*6=%*eXJ_IF(-6S0F?dVs<{L&--@c+r@Q(;hpk>kqN@X}qO5f$1NVKGss}GX
zE(&lxwF-VZA3xHJz0F?{29yZpfO(nlE%ISS$3LOgDjc+}M42ZWG~T!=V5K_K?l2Ny
z22-?J1USK1O90{<EYf^XcGyG!FJ))dyL|V?$JVYzH$XYF=!%SGg{vOOiVXQMR34O^
zr0h4a#su*`?s-L^w>N|l_Ykq1$5NyTW`$nj{I?n=!=<Z?{CDSOkX)h^$cnm|Z5@4I
zWIPqlfbsw#YuQ_Oq`{Qd+jH^`Hsg_=3I_0&nnn(et6L2X(GI$04KUX}sA#De9NS+T
zIHz?#jgOxPg=r@@dFzxY)IChr-x%*OH#}mE-QyjeI;FiJ3E-dPKv2l}ZJMFk)16j?
zgWF(%9)9ZMVd0YC59TZNpyA`eP6uu80UDYV5ZX*Pn!bkbQ>KikO+M`#Tm#q#ZN_PP
z-E}(i4n=)bn*_!?!}o6IBw3+zCI`QdL>Nb<vcmQ6R${|USZ#`w^S`wu9Yx-afr)6k
z36bS}a^yR2thA41#XxN^bK&RU>lTBH_va}y-|EVa?7lLh;9X{tLGCwyU3((KL_=SY
zu?^%taAv?C+i(eznP7%WuQ8!^R&xjbIM1S1Bmc9aYDXF{XoY7&g61M;U9l@!2KaUr
zII_Dl<iY<Y!}MrWWzleFM8b36Nn4_qcB1mQ=POO!0ki<P7e0734cJuFyOO#ly*zlF
z-popg!-`K_KS`7=9QrOQ?S6?wRtz+FGN<N*@oXH6Xz(!k{3dYe@DMuXGOFx*J*=~b
z7IqNMReobty!WG-s+I?))eBb_>oWP)xWTjaydBVSYU@p@zV;luxSzynIZQjpy?G}-
zA^6VCJN82a5JLV>0V_h+-;xNNCI@G^O9ShqrlyRXX|#>HJF$_RwUF6&M}Z-N7>1GU
ztUc~E=ivqCP)%jY+d&8RAqjb4)_GY}R{C_gWo>TpkqmZ+Ml|;EVQbmHBWs5YpcW%~
zABVj_U;leLF|okueLC7DF|4DoRHI>#PTrnStEzwv8e<!#kD$Tjady$y!H2X)CSfl`
zg-1B~1W35(&`X#nru<qVA?X%;8P>p%Eg+tsUN$xf7(s+7H-&3OXh{qM=M*2n{gNQz
z0>k8DyP|!-Jr(!nz&|bV+F@>Gv(mgsIZFh?MoROrYV}ock$id{4i&w}(+q(c#z%2v
z|B4+8{%Wqsci<fOL^?V0gS6unb?INiD(|-*jUj?h(^ybpO<5se_k>OF{btbhXIpT?
zThv7fa0>yhyDIY!<s`r+I__)84(7Acc{QML#WkKbA!51`!#V_Pi&~a!>;^c!Vw?~)
z(DRMnTM9SVoUqua7g|yAGLrgvi&37-&~)pud=nPy_yb%7CBYYP-%O#dH9uhLGS$69
zk0HnQ>Zx`8vP|((poO93;Px^&51V5D6M8j5$<fH-o4m-HBWps;mT5WG#Jr+fV}TT1
z(6yW#U{a{u%(r&ssN1F__Myzu-(n_v_HfpI!<nwzHB}$6JEg<*!dnUzt79>P4kQX+
zIjMd<Q8A9gkm8Lmc$Fs7#1K2&mE;SUTE1JdOqEW!(rPj*PMcw`MOa;?#hk1bd;BuY
z%qYP%P(`gwGNny6qb?0vUVNCUxO-Y)8TS<QTfwMRAT>|sNw@Es7reOg9Rubxcu%OH
zf5(Ws#*)x@We|JNOD%wsQiGk1t0u-mh{K#nKp@Q=VC&Jf%Q$c?JV9u@^BLh+^Td=^
zb;2D~n?OJ^C>aN0wsZj$8^r<T|2n{GxVsA7I`MfLu>Fk?yhFtO);yfEzLE&3Q(Er|
zo|}|<{rK#IXB*yjX-n<YNaXqbUS?fYeFBtOjX3e^(e<bz#@)uFmZPW~{n|7ArR-4=
zlrI%9My?hOmMMJx8TWSqz>G3F(biGT6VrcoBq_m;?>vg5uJaJN(~_C;;3|C{W~BK^
zY1y0sKB;0mF6UQEK*v_1IMU~Vs*CwpEM(+`xN=cYN{wr9xo4JwKmx2elw;ceU|995
zI+q9+n5l2jSfg6QOx>2QDgapxP>G!2CwLB^)D1cV6kli;ek<}gSq$^G2`!2|$*-tV
z7Yz^l$+U>Ms&hf=YRb@D@m^wr4Ssp1InI<!>{o4?jw&;^pUfxq;1FEipFZ2Q%<^;*
zDncU^GsS7uB$8gUJZFWnWBSh8C$C7ndqJYWjuNUA0>#!es;t$}3~=Uew^Ov;s9#>l
z2#DSKe<qR;4fJIm`)Fz_s-y$0T%F_sL|_b#AvE^@t`V$%+mWyXP};cq4Js=A8FOLg
z3gVku--fwXf#BA&F{VfRE9S0BQZusr+rap%|B64fn+6Pjj^2Wh4OfZvGLK!|;3eT%
z&p?U#20<mIX?YuMf}ylh;q@CZZHx07b^*SFNs;K&ab-}<B)24B>3t9AOme49TQ<mr
zThiRf<|0rLu>JBYkJ~*;IeuW*;KZ?cyr%C_FWSsLUJ3so{AJ?1T_9iLz5Tg<u$Wa|
z?cB*#cNGO>)>e8&Swx|4?FPGF$Z4pNN_l0#6`!~PxZSQ7ajaK_Q~&J1g@Q$uL8|<Y
zOn~3$^?4s)7nl6sX#aD(S0>9h!+->{I`(Iew}a;Gben*kV7$&RJ_Vn7)`HP+GiQcF
zG`(!Foo+Xd#A9XJV2ewd9B`Diqu4iP_n(9`iWwypU_EPj1MnNH>FRsdjYhWejz*BH
z4p;CMAQnpF!osEVd)RQH-@^UZ3f$-ILF`u&(>mUz8zgDffLNW2y;h0KpWXsV)5K84
zjV-~&TuUqQPio~?Q7CBv_KX>{Cl(|1*a%RjRZR4uO=~!MhmN0c*!nA=_8rT?|644`
zS_$29&RL?1OA;He{$DlN62eH%e#eXM?8o!kL3N(O_VY4dU5dV-J|IZY2q6|2eftPL
z?oMXIU()gGTwU0Xy_(!D87tA##F%E=3SN-S_w!aI7%v_SJS4QsNXo;cN)DUg&@S|`
z`l}}d_xfw4GQ#CITGszx{6{WDe}dMj97<ybi63p4g%93~dqa`RS+_CXr;5?512?As
z$&92n)G=)Zcj}jW&g9e&>8>`aO(Osa4)Bf6x-EzEp7iPdCr$v~ov)oaKOXxRu%g!-
zk&(@x9)e|4r;d2sJfrsV9JPj;8FmXwYTuoR2oU@}IIXKeH=)Vv#&Nv<`%Xw<+HCbl
zf~V%7c1ICSub=y+XF7OQogbVfr-f8e)RUYD?2#(6tqU}5mHn*n8JNolB_nWWy&+;P
zXzbo|_pS~KJy5Aj=qM5=3SEuv(W0?fu!Oaf;io4%sc|`!3O>#v@b;#08N3X^{0F_K
zO*424OM2(H7v_ek=jsB?B1lY7SxEu|R;t{;X3e6#oWmK@Y+Hn~5%yCTjkTU}8jsSb
z%1n3;@<>jd+ByvPn$PvNLu>07+6WG=A{Ja#>FCh3^*^l)#|rcPX|5ZG+=a2p&HF)*
zIB)zNr8AU8Y~)H#t+GUmZll?JTy87k=T*Qt0(eJ0<1X0{e>!QouVq90{kA7^)h_-4
z5hIg$D@GU{*@Gq-i>kjh7I^kzm7|}#%c$PCr8I@fHmA4-TQack3;NmpisxSFNLppI
ztF$1tB-N{8@rDQAUu|Z8=O*R(|DdrXNV@<y+?mH1InFLdr`WBOZ#*u0LHGiv-yjj2
zsr`S5VCP$k?~z~{pp8b^YgW1&WMJ;z$Z%m6VDjJQrwyb^@~^^lfPsfo^HM}u57KPt
zgD;Wh-RJGq9;yg(KdqSKTjOY0XdV0X);up=<K1&APd_n%3F00w+0zHmI{le7=x@%K
zO6lIMjKu&d{_7Zj8Ygi?aO?Rf4;1#v(nt7-L7ZAy0~K4d(?fQb8JcL>0Qza$8^N+5
zioG8Erkmiu&|kbP$QG5d;jLa<@hxD{m+R{w+x(M=e`N^5E9A{3W>U!AkzN{rIJCV!
z?i-)j`r|ndEM^&CvXBQ1VC_t7n4k3O0Vj_j_w8JQ4sVGQ)W_kC%lv6551D%cGU3}#
z>w+gLK;^&W9FU%%<v(7tFy-wksE)FBPhH9}=S`=ABM{bKB8yix*jwKNS5Hpq&+DRu
z=pS`cOD+RxwTx7KJKHA!R!%Ok8boEr{W@-BaMoZ2mKUUj;4Ah&y8n5x)8^czuIV<f
ze@};`wa5BZ18W@0v<od?%=}a#6vWrj<7Lb@Z33*)lv4PurB;|~C0YqO_f`K~kB0}f
zp)>SiZC`@M0~+x^wpU0`m0ov`0J=c>?h(BAZ~x1fvBqa-mPdE=q)BaN8P9txq*fr3
zE}7F78sm<Ue5?j08mFvA40a#<L)W>y7L+H49HdRI`1zdlQrJ<d-E!~JPgb9}>x`!K
zDM#NyheZ((2I%3LXWbP22hlCw{<tB5i81!J;=oQq-8)9x?p5A_n=tHik8eBVZ-Awo
zJ)IE^UdXVkd-R3Qh%NS+f4tck@pRa^hkPy4($~Fp_KVNvFrlWY#fHY`N2sHHOB*e}
zC2cIaRd_*>%MthJzaEQl<}d?z)l_*+E>*D!s_VY<=U1>)Yulf+h08ea|MK^7en=ZF
z*!pNZF6?{gLBpUNuK4>LzOe~+e=FvAsP@1s>R)3>jbi?3*Isw?41xCiNp|7o7hJ3{
z%?Rt64gLDD3P;vM!+Lf*y(MQxb!sJbIbc6pSH@wTQ`PZzX-o{rFbbL)ZjS@5P8m6@
zf*dUO#=}H2RLY1!D`@T%n&1E_z3$RCI1l*D^Epzmh0pN3>h9B9Sk)Ue@UGs_0Lh1r
z)&V3|;T>Tro@5bgJ|_J1iq`bP_#(l>V(vc4D9+!e{)=<r2#NQ+%?l_W85dkqgubqg
z&LGRJ{LW?e5xRS&E%oPfQ4i9aC<B)S=I=-oRQ^9#5>dn5s}xNd0<075I2p0cLl*xL
zg5lO?yz_)B61U&XFb}CKIMr|1l>ezJKJrqhFMeOc1zBd$$wY5i-KvrPt0r$15*@ZX
zi-EwRoPuCN^CXId5-gGZ*_V}Pgg5n;^r12^LwHcRdwHV#iN{h;I$9>dU^HYvQlfY8
zAP#kOZtSno;M7k}SF9l~=`CF`r^1^3(G_FhW8{T8eIEEC<2ND;Um`ivW?D}j@49#Q
zd&k|PpY3QN&tXUAE_@QMgCX{#(LwmgFdrK5m7k@61&yhBiCQ`henD|hp4wwqyY-P^
z1zyLk%_Hu)hZ+tf7o}@qF#_*=FwksKid#2O{p)MP%m<n_0%TTz0Vsk<Rls~?yQF1n
zZB_r?Y`MO(_q{{MhKlU|x^q4BKZk7AYopZFl*ZJ%6kr%;<!n&kiObxx)iN2=)UAJA
zXG>v_3z47aojx?IW`_`UOF){f97CB-G>M!Mr-f}gE`k4#-vHvF&Rn+NCO3Evqz2fl
z&nVVcOoDhrc%WNnr!~oM>{|bjW(Uh&AGPN4qAa|JN;(;CE;V3QkP(DoL1TMWovtMm
zZrA0X!WJX8<dbMdos!$=a2T4pqBOpkRWv>e%;&A-+&i6nH&1xwi%|+|YH!?g1=f<O
z(rHLYaq<c=wQ_*FDvXKKn`ZJ1c~XDfd700nRGfy)@rf?;T-_X~4`2>eGOTx2C?{3o
zK120?WM48U7>vz0IlB%T_*m<>YAeLl57&P~m!a8x!}KJI;YrE!@BPb(7v<p+!$>k@
zJE@-$XU+F-6Vfi)Z?YDA`j?X2ucby!`H!}WV(~s_RJ3|kZ0knL#1+GtT68Vl>k0Sp
zb#QbvbY%S`^u*umf$m*t=bo6OKiOR$%Z!2@zqNh>#h#w9K&+7!Q$;>>ww2=KGfL5;
ztou2y#TYCQA2%&N;(<=iw{okmH27h^)e>^BKB}XTMha8LC?jU44WWU5?H=(0n9iCJ
z7ui1Uy<wjNhUO`{)+tG(`>$5X%t`l?^&Yf!SB%T1kefz^C+|(j!p<Q-;ezC&dIKI|
zaCpR?5q=sjBx#nlQV_+3?S@jFUQr$O-h8#GxPF!>+?09Uu)eyh-Og$)3d?Xaz#nWG
zqLy9|muD?yZ+<64-b(o}w+)X4%>Z6JlE<bz2>Y$aHP(8Rlc5YK6kp~5T2HKrgg)pY
ziwnt3d=Q^IWy@$OHTp=K{}$wfpPlJ(NcgGv6^deoVr@M|_wr{8)Cya;L%Zibn+;z!
z)gq~IrE@3gN4v=Ee_vWZHUG}Vj&tT+0CAnaKa{~iNu(>EkgI1a<H6#1Uwu*&)>51O
z4zahD<hiB4;ky^lWQE7%`}GECkCqLus05r>;JztHQYk;M%%@c0%ucnU;>*06)<sKx
z|M?<u`Ucc-8dVyS6xfD;ANxHUk<a7f%el){d|D0)9QB}G${Q<G^|a{-4dZ;W8RL^s
zH<+Cp8f&S&Om^bJatj}s3lAIPPI!WTNh(ZYvuEw$v!=q=RY-%@UFzLKeG$~a#5+^1
zRlCA%rdNi4IunjL#v<rPU(TK*HsS;a_dQgRJC8!r#d#u~4Fgugzeq1U=d%4<%|*)a
zcMcZ*s<uvYLD{g3!dI-2D}?8b-q=&%WpxKN`r6g~*_rA>F|>uP*sG;J`?+t51|=6Q
z@&7KsBBf&;(KsKJKJnXRMo`S&C>$_Kraib$G33~?lv=PdE>Qbjg7vGGhu(GB1qn7T
z4uxfP9-`}<#E2+qMsR+u^Kbg2D|4+PsEsWKipM^G!daIlg87hx2VZ&QR(1xYW^etm
z907`VGy}YBLI9<c_#m9^_Xn2U)0t_L0hy(}T1qD$t9-xU&u=L>CA*0X6*HudJ*zbz
zD-v1t59o;;2JM+g=WyaHzf{P3m8?%~nBNZ-a1!oE0)M+;3G?iqD>gtqGPM4+%3@V`
z3D4U$ixHx{>AVur$63Gpd8LfOvRyZ>GB(q`MP3T^mEF9Z9WDqIaiX<+U{933Z}7l{
zZLoTdyE!%YT=417mxZuIxR=@;r$1RcGnBkXLCt3(V^TK%+TYc#o->l1tbaldem4K?
zDopu<CI)JLk4w5gRY%DlFX5&axPU5dooTQH%e*vr`<VMUWOvqddbyBbl{R|a=LR;i
zA-gmMxEdcHTnQ`fM@d8*B7)rUF`*sSeJ6nYa?JbK3|m}wXVhd?Rz;e|@#;DrBDHVn
z`+Zs?X0{YpeP+AF-b^MvsG|K-T{9p#iRAvA%Jn8SR~g!2Qw^N*anQ9kP$2++zn{A>
zrM*G-)}cpL&F2;GiwsZDgfQ0Ssa=1o123?mW}JK8?nLB^;SG!kA82GBqk4#Iz80e6
zidK7knbd^$SDI^bXH%gap8i>*k>ir@hXZH#W8*5M%-LAa#uhx%f|{djsHSdUUulL7
znx4T@D{h$^$aOQHPk#>~avq3y=|q{0XEH|qOCb9XS5a+MS05AcNh-Fg6L!+zFfJoZ
z?xg>8ZmF7Wng%tNT#u3S!!(YmorrZ^jK&^W$_2?MG4Jb&9?L%!(Ocg)?RCoAH<m}d
zO~SJ<e(ifNMf+i4*1XzID*H1sW^T*TT|h0R?T;04&fDse!*+Tb`Xy!i3zs<OclqF*
z(q>&p5-KGB_(m~<gi3mbW+R`AmE+h2UYO;P*I#rrCD>0vzNs^}s@1-=IT4S#ubl~I
zIKbf_znNTS_=32-dNaG$J;3UGj=&>SN;H;usWaPU;vrIY1j{;Z6Lv_Rb9$>>pvmFp
zFXmFQKeW&{tiz!CcRsBY3%^0%_J^lu&w`3_O?!;is_#C$VQ0Jk=L>WxF3NRjNNWTV
z>%wQZzs~fd^5W9wD=zOpSVNF1edAhOXv>FX;>R7p@~Jsnr17XR^uaav^7l0<Lhv^3
zgIwFZw!WxT;7_1y9>6XcY3Qx%T~$+c)4ntQdQ4Ceq=!HXJZ44JpH8Jz<_F;miS$IR
zArig%vD7Ea25Kr-x~=CfHR`U^1Ps}EN`q<%I_Vrs(VG0Psk<0tK?{0(5T5gbVtMx3
zGZ6xN_i|l*<5s~sAjyW7E3qL7dTuxngS6_|fL8(Yf?%nKjZb77&c!K%As2D^7O5&q
z^x#{5!odll-)=hc7Zy~d9^V~ZzKgTAm-3aZWmz*(c1V=N*)lE0wzvv?0;$sN?b@_x
z@$NS9gN=m1Y5C2IIkltt9#&yh`Ap#TOA`iqlwkSvoM8n#(WOwcd%MfVGreKIT`T{C
zoxQxR2cLo`l*-G#u##_hOmc2<i+(ooq}6v7J9dW(vK9<?0ZgVp6`1D((#>~Fa%gC1
zoPJZ*o#acJv*nV!RO?nb8-2o+wK4avlTrG&PK>DyIo;^#lap7zB*PFqsp=2ruI7&b
zL~_WS=}bvZ4_46_X5mW4)xd{4(2S^=nPN)Z(=bpqH9uBRFEsD1xpDk)CR*FB;^$7V
z8&&F${{o{{q(FgYT^Z+G&1{<VL!ZObpv#XYQqFIXDx=2csT*sD)i1pp2hD-G<nNT^
z1<<I^W|omxs9xEBZJuqN*dfZIMHgKIScs<T<VjIkbrGa}R&p!mu?~F89r&*fV>Gu~
zxCyf&Bzk4be&ltt@EWM}W$su|1v6`NYCse){*H7H+mV;@%WT7Qo<fcZ2jENtkAt^O
z0qb7@R-t9yzI<1niV8Ao=PEG^!_~+2M@=Goj`z@vAmDQO>i)>`X$?*8W!<&-{&h_g
zC0gseQn-{*?}KT(L7y9C;^4q(4vAP*x(W-=#oxHsvPN~4X?vt{I1FbSiy~>!KRrfg
ztPjT~<xq>xqL!}~T2i{0!6ztdbcR4LM%v#EB{|4SS}xBEi}kZB4*ld+P*McoYQ^q+
zp{Soi8h^Hrq#u&3xmU`!=0@r{q<t3VPsJNBl}w^pu5%XN>dOc}vb#vJ#0!sbjEHm(
z74SBlarY7Y2fnD1Oj>s-1d@1L5F=Y+J5lCqPfQD&k3(aJ;m@Vq4$x$@^lo{D`<lD-
zU?iWG7=TwYIg+KHc;ltMzi_9JA|MwclbRp*y)=J8H+IYJHlyo4-dPguoCD5YA6W04
zajJ$C5yUI!SyfF9PU`$#BLAykt+1GCA7#>7FQ(W2$wb>t7P*q!qJ}kX)CW7tI+Klw
z@Vt(?A4do&7Fcis)&3PaAlf70Ip90@jXH+nr4S?|!31Fge?04opP#yhARqIo)=3Q4
zkB8v4gLerlx2?lTB84dm&D@I9_DbOD&2hhE<-7g~easgo@s_X>RXaB=x=BrDX3@o{
zLI#h0@dOFSMm3+-InPvhs3L;2nW<<;Axpeq@>XYDx+=<tM%=f6OAa{Uc!r`BAp_WS
zt)2{sG*U=}0{^4ds}^A<e4$#GsQZvm?~f0r`N2M2d<|@OE;)hd2ixYBf36SFl;c*Z
z?S`N<gdo*>gKSrfQCnvw+hz%_Ur}>T^eW7POHL^ok>J^yPJ}Nja4vTEPVaC~E|bGK
zrtPn)I_Z*vJ_^6OQqLK(5s$T28xvAM|6-VRX3w8)?A+hutZ5EckBYl(6;Z>@fn=<u
z02-b1wFk%LVwze@|LxRE&y9`k{+n@We<b`*D(mK%hVH*otr^Vw)jPqwciH+-%WXEJ
zoON*e=e$5Ez*40&&u(|DRZZ-ZbW^ka&Awii?ik)5HjhtVkd}YlF}R-{LEXBJkFq#(
z#(^KdndPGx$&|kCb{1b1dYmTdY&|n={ppT9<?bqVS8-)J>z$9;KfE*7kg1VRCrvG{
zE*DLIs}6fNEna(TEq|eWt$RFdW=F|p8iHYIb<!H2^B${u{1&qKmS9ZbbYbK*Cn3nU
zEi4>#J$H7pw){o^9azkMr8}lC>$z3UL2S%i5OKv9aHvMR4_d#OcV!<CJniG3-z1dN
z41d;C{ayZk$08!c?8lc{mUYe7Rv4&voqC@ytNpd+GWURr4k@SsX5Pxra4G{Qy4#&B
zn_%`5x+7&P6t|Gkg!O=^<iAN`Ak7Vp`n>GcK_!#)XLHNyN+cNXuWMO8do-D|I1V!M
zUvo8Fv3263z||H+_Sh5$y=y;nTrG0!VtX=FL9U#vVsoo+d$OQ@t_tvNigPb10F59{
zjz%8G={bGCWLA~2UWE$h;H3XGV4A>-(3RKbS$SfX1;s1mzWXN6Y2}MLFr4IW>Mihz
zvAaK4rL$Avo|9j|v9g{KypC=ou!iR>uS)lKHR9GdxB8c2<blM<Jsz6Fy3C$kQv*?e
z7OyZGe0)Yk)^Xq%ud6Wg!z{3o$x;U?k57g9zHR>iHkxl!$ATJ4rCtA)u(+f)+hn8J
zc0tUi_`%3*?|ws?<v%j+sA179KDJmTW4%KBw1Mn(7I`0{cV~ZLZ&+wa1aSMG%W<|&
zCp6lJIt=2`2q9Nk86|C0_Lbi3XApv_SA&n=O&r|TFODD#fAm%XOqc2%s|+(GQVqH9
z585RdLw)c-c&Yo}X~0rj`_n$>C}w>g*~ABpLLWRKA*Tg&QiX&Szhre>oZld`MlMh<
zE%)`zdv-gPqaoQ-qscP1u$r@u#ijp;*J*>2m)&$*Ftm^Wem2mz>H#uQ2CX)QuFY~U
z?-B;t&Q0Wo%^?n>VkF?#d}5p%!pZ1Z6K6$W@W~N2#&?c@TldzIetH<2HImm>Ac+*Z
z3OdTH3Lah0Kz;r$e<6y4yVYxKGRm_-FcOFQ3dSJ4<u<{&mVK|2>70XPKSFNLgj7kd
z8pONK1C)wE;EP51n4{)2je(ijf5RmlU|Qz@jt5LzU$`N`oX_l~w;Ph90D@EW)~RSH
zDrimI=HfW~4C)3@VEuUgdGF|N)LTO)pHzNrBMIf%-BgzCy*x<LRK5~x+LQvuMc;il
zAjcS#@1c?X9Prce8LQm1GY&(7t3+?H=sA4eKq?!rN%2d{KfBMxh*)BXwl>|OrPE^^
zoE|)%$*HZ!_b8u3DKYiXq(~Z1&u66QP?mOQB#9Q89LI2kDO?~n4QwkZ5{YGh2GoJ}
zZzf(Hnb-U0%w|Wf<%+I^S*1oiTb5+zaQbb!><fGb?zj3Yi9(6L)3>L|gC*n2@f7S=
zK~{Tp%!K$NQ<!ZU7o^89QNbN;`mINc3-3A>uNp@rzVN{PSeWQzS08}o8?m8Ou=XeU
zR@aa?bs11|bm^+v$_xa_K2=`dNkxvNo;juA(!@Re6rq6T5#ej=u-U88VeHv8jqbG8
z{sGzq)RdIQRZgx$UVy}5&FD)*(&}C?y<Hr(;W-{`xjU2rggAr>JIspLCUbZ9JLS0K
z5B+d_?20zq-gXUOd9_3b8ew&J_Nw)4YyzRJhqP13t9tETE3n0&drQO51h*7<pAz}g
z*|Rb1npVjj5DxCi%)Z6vTF)6b_bs`ka6yxuIULSw7Jjm75~#2g$hY|56BguNi8vsL
zcL9mD$#GSsDq-jB8lla;&UJ4Rlb^IEnGqz*!0MvZ5g7grGy1y*Z@7D?w}}qnx@s_)
zwqAlBwWpm8hMjb!q`5Xv8($nr{Wz{}XzH&JHbK%Dk%6)Ri+Zo}Dlyvqn)ZTd@B&#{
zcYWA&=}RdHXU_PxWHbuaGorm_zangVpu&G6Jj*f~5yHt${kKRD!1F_sT|&W-0&DZb
zq4_YuMFKpoWT?*^&k?BhbOC)>nMbGU7212MN;%1F;Z-lRmu`{$`RqN>Eq=-fYJkW^
zGTlXR*i}T98Nx?<Yr{q)y`gg#EGGtYIdR&0Y4FbBt>zS3Ih!7{Ss(O**)+=AUGc(1
zpOBNfIbvxl&AXIm$l3OY{A7|_-azyP)2AH;CG$HQdmYDxd4O!i4}0%XJ~)<Qk*cEr
z<bL5Heygen%dmFU0@*Jm*-bv``*@W(p8+{V)-N;e2u6WJvm{z3pNnTIF!E6`jT|X1
zG7L%vRy8f5LSzIfJzl$ybQ9H|$*98Wci#bbAZAXVB6*NE(_%fSb^BjsYqff4cy2=z
z6n)g(8Go-+G_x2F*pUthFGZorjA+ZEf}z*r(!rkZ0#XfPL(@xV<3fjA@?V9VT2X~-
zN1@%vsS8o@tB*zGf}S~w_-BFBCTCp)nP_J9z@5j@M&FX<cz79BUPnc<MjBW&`xM3b
z{#*nFyKlKbS@K)BO8LXx2W?|=pMQc+KfR54c-pe+1*FjPX&g(|Tu=PqH;ZpniS#Cd
zZrd986trF1i@8(~x4(Vu9zGultc&U%aYTOZ1l}iqF9pY+r_dR)kxL9`SMBzuePu*_
zkll~V3&}>r6TC)EJd4iw;Wq^X_G19m3RW`xwO5oaex_OTG2@?&cUVboMgQU^y7F6N
z)g<0UVY8I+5qw43TLEAj_*4eSNA|xO5S@c5R=Xwt8c#<$j%#2aL@+kM(sG1?ZW8>O
zpEZ8?R1nVH^qQfjKD|15<`n>?Rb~t+h;*zhQ+0pmW8(1`75`Xym|d<v9o*MT+wo&f
z?iT81V^Qa-OR=4%+>CI4sosy4?BHQ|W$2%U4PN{`Di@?mK56Q`bdc%0R3Gph;Znj5
zvYlsG+dz=(!lx50H?EJtbe6_e`D~KpgjZ;~dmTu~FjlwEo5sJyAw;5(;SNp5qPR+*
z6+&VN06-!0%Y5$*S+W*5mk&SgxyGEshA@)wpP()o>2jpe!YDG8UDyV=f39j8nyBF!
zjnc0$Hu(iCHuFm00m|n*bMj85w#4tRP<0uj7IQ__N*hY`c%Bd&B5lo{AXY5rPW%~q
z&9nlkYY=lLx2J@e7!~t+6ha8ux)Q<*v2QI!uI!REn&q|A|9d^w4y1VX9W==KC|JS#
zH$i`~VvAdUG${4(=pvAO)WR`iSijy?G&mb7NY)3{RQoyTpzMmL&xS7UI!%O(Fco8T
zNfzcr^GCVZ*!>?*XB`z~_q}}!X^<9>l5V6%N|f#nX^?Ko8Kk6<lJ4#XK|o*t0Z|(1
z9%^WT5v1#P^!dK;S}Yd->V4m5?|ogLYoA!EuQ)C@oaj`EAC}1e_KSy7I(R{4f>Khg
zt;FyaL-q}>Blf+4@8H8nZZaCsv;QRBv|(Vjk2vF;R?#LIjcb*bn$_+>GH>l@?gfp8
zjVnI9B|8hqpRU3?(fBD@9Gl`Wj`_Ym7DHJaY;&XRvzF<K1V;hOL`(!{-Kxqr{?4Ef
zL0NU~3L-;xO)8=hZSI|;$)~BkcYafiIW(Xgu8ZoUQ-D(oQr(K2LqGfE;?$1o%0>`t
zI2j#J7aPRC@$xYrgbDoXtJ6{On{z3*%VnP)Fv-H{w-xR(!U^ksJDp^Kv7qYe=OaXi
z)8`wX4EMfo*-obhuLlwrsZOGbS<k?baA>PZoPQXjU%y05)$>n9c|i+DadcKuf-_)R
zgd$9|z~Q;GAttv-Dx4R|*BaI<(`1iaK0ZQc<EkY+{pmpCrn8#(RLfBM$3Y$Mh+`^c
z|CGX^KrI`$L7#Q85kxGgmA+R%$0LOAu+HLgTS_)mL2ft+DX7WHP@>K}!AEL!z{q?7
zG+JaZ{5J!<74s0h%_LovM-tKp<En%HZ52MVu-Bd9`hDV0HxnW|{Wc#(J5AMN!YBGF
zXfiehtDC0dgH$2OU<zH9H<U$xigjG21IawP{ghMP@j5pttEw%vh`r@RYaqaAUu(b6
zjc@U<5HMj9as8&!$0Zb!RZC$p&<0--9L7cLbeOm{#ar@ilv$!tu#SQjuLELKG_|;D
z=%}uf#9yH>=*(GhU`Lg{t#>9$lvVPm5Hl9}gBd>T7v9dL&IGl6UT;ll=;=cJRCKxk
zlz%J|6R*Gw#2rJ5uV>=PaU{`BOxD)>50q2P(VE(eWnFFc4fero;M=I%U{tlaBmazc
zc=Us9Wmu|Vd}bB5{B$_)=T)3&e((ZlVD{(ecBK03>!%(1y5B)YzeVh+{5Mr4qw4Zt
z^I@ntiDV}Oe4G{SNbp2CnoWgG8_qi=GG2CJtClQ~-q~-QPCGF`?lqLLb*d-D`pn@J
z!M=(_1Vj7?fYh4+B4TSRtULS3K_sH1ROj!#V+jy@1Vd4McwgSg!@NraQo<en4C0CM
zw_iZd&m~Dh^e9}~b#Ul(-3<vMN0i;Q-_H%?v)aY>O*!uNkIJh~8!PByNkQ2*x&$#a
z@B(H}rb~X`eA22F>HLoEGBm7Ru_}F^4`o#@ow8pB=SWMVs<kus8U``|01~4i#^4Ic
zU?{pyZcl}pmopDX)F&Z$LF5|qE|)asL4&n+rV-i9{#LECgHNYiWAnns`6oBd>0YxR
z_6n{IW3m@N{>XlyV;f!$8pl$*G^W<TZTz#uShAg<T}z6M18;wo-nJ1{n73+(4?g@6
zSE)9k1^304$oV&qrAzEALO6?<?K)dBN)kwH=z`M>)5=A5MR4|pYss&gAF<xyCd`^2
zh~+Y}Tm2C8C%Pq|ol6(d^=jqcV8|#l|CI|$wkps_YfbMOwK-B?{B)Wu=4+_+*WZon
zi(-BQ0<Po|5y6Iz1Z7WDv=aJP>|!($tCDyoG77jfM5jHKJcM-y55z|<rhefZ$QZT#
z6=uFS99)b?>-=c!l_DJ#U5700v}P3(-bZRjC{o+dXH7nK*Yp1*t6<zom`mvw=}5k@
zr=L<BDi*}5a0B`w>ASJIzu{a!xekUf1)pZLUPhyC_z{cp_%+4Y7&XhD>$%o8=os8y
z*Ty>tOKM=asYx!i`D+tf*;yh#_jY*su16+>=&kSwXc_iYts3OuIyKYm&?Jb98y_7j
zB^4qA-eqV1Y+JESPjkq^{sE$q(BL7C>e*&HF?r@&tI}XwJG1#MH|rUk*pwIF@MO9M
zSZyvsQE$}v2ob47#*Md|c7)ff;hm5dFKRj<C%<X~RW;MG@dwa8DshwdQ5o^aa7M+n
z(~Mu@&|_c3p?#rxi{JIgxS3Xwo+%|FZbA=#@BYXb;}0$h(Tp=1C1N&p{n<Y)I)jhm
zAKGt3y7I^Gs#Zu)#;gzNS!H3%B(ILY(m(Tkm3NZ*{62@)ueb))h37$X-N}0v-a6B5
zgNl?3$zSBSIIC!wzzD<D%set04qm7=VNy89P22DObKpu;R3ydQ-$m`&Ng)IOc-~gs
zm34k!&GVrh?Wz91Zto;%CQu`J;FTTW5&BxyO=EuRx`XF^rPxt9RV|Vn=l0|x!cOTn
z{rIv3i*mGes)moaR8y8jk744oKK3U?ANi0|moD%2$D>Y((CR7#U3V|}sRHW#zqI;_
z&z|_z5$<`wFBPk%7sH_monHrz^@BEMEhBxs-Y}Uqa(8D}e5}w&%Ky7vn^DbUV)p+0
ze65IBz^T7&7h$TFsI#0p#z$5dkdB@;fBjO5KK^?walM<tv6NycK>p}(0(tmg)rcRp
z&#)2=K`^S`b>F3OB=_<uHGB*7-X*?2F%Jd&wVyDd;#2mHao{d^@q3Wrn-`lu*MBtJ
zma~ZJK|dI3R*3A<>+VuNQ4fx&xVKv$hiS+ML8p!t?>JH}B4;z39AMHXytCp_GqW{l
zs90H!-D_-B1Gl1bKQ1ZjY|F@7jyt9D#Q*7I#e;W$2Um|i6QW0ZP%};a><{XO7P*KW
z48aUaPl!hOi6gJW^w*jDNv;E3e9Rm&@sMpNl^YmkZ0muNu86Xh{7<Ju=EU2s0)3*C
zT_Ose@vYGB+2by4a5$UIbLJ~uf)It$+?}JE)^19~B<^rRtCEn4Bb4tvFtalLm1w$(
z=r*~+A6aSO_Appw6k$f}ml6r$xcw0&AnWMvSjTW^rspBUspqGjZ8*!>24bYq=@6el
zicMWUzbv}v;*wpY{E&ZLOW{j)bE`~H&y^OX!4zR^pThSX)46RMx3X0iA_jUT^%^cN
zahbnuqMgZyXx&^ds@kzAu8YG5f}+{EW#+4Czl^0l8yLd!jdg4@ommH}0;4&i9~Tl5
zFLL?YY}Im-lf4+e!*FeJ?E7G-N^j#u(5I9DqnLBv#@6qn#@{{7ypwk52@!2Fu!Jr(
z$)0<$djmw{ulUT10}V)C!brNbl9q>2=5_vas@BU)G%H0k4sU*n#pe;zBxq9BD5%|@
z#5iJJlp^1ktz+81?f(UN2LIP0#H=h*fk9!B(%-LE;%#kU6CbekMket=v<D7k%kC1&
z8s08NmGF<pBaN!uUAs0~SH#hJ^pw-oWk>FHfIZ;V>JkaUw>2_zshJU_dpr6)7A1rI
zaJsyxu{ABzcPuFoh}}M#w(j@1McyYG#PlxuGr?U#;C-tri*#MB-2;Q3Vk?Vn1u%0Z
z7}<7}>g}*tD%&Pi74eg5_**GfH7G=qsa{pQu8KCViT)i8Qm8^WBc>OP*^b-FUV1uP
zoAKZCue|e9>Wxa?y~6pJSj<%of&BVoMxnX<^nIO{Sn6F#@I-9D+1GsB@q6T<p!Lk_
zoJWsdb9*OFp6tgqcb{n;=f6<pWCd-ZeIZblsvEaXiz_xM6pk9+9C}Oi-#m%tFwtai
zX!dkl?gSnu+Lz(2duynaj<*M^SG50~6ltc?<jaekav8z7oJ=kIky@<PNo6q~tk+dN
z(1hi6l0LsQQnLH_BpNB<rstQ$Z@@V?rNBFxuOyI*uwL6sh+IRco-~gvj~KnaUyJ=X
zg?H&(06W*%?(n!OAZ+?*l+?0);(O~ReR>><sdy2~G-bCgodfCA`^Ml|3H#k73AK8K
zpO)K}4k^EvEbOc2=qkv0(<1j-HIv@FJ!Cs?)-N*~{i<K4IY5-mXxjSd0M1WR61sy2
zQU50w?XOT}QhJ+hi>VpIY6DNZ=IZ%^PourV7wRfEoKAms9%3W!Ta<n6EX<(^wBR&t
zMNSQ^rmL5xMn23D&X2rR%-QbESxUQLCudtJ_*CL>QVkK^Gjkd05XF3|&jx#{V(iM^
z?nbZ4*r)cJFL8A)+km5Gw#|;-+DrI$dR4!kZsnS2MSu}3cKoY<`4eYV?^0IL*oagv
zmuR8z`?#OP9eF>wez*j4$K%GeMyPnpesk;x9{<t~cl=V${J|XIO?S8iqZW1Pb*|eg
zjx)@b8}0CCx%aM{Ko4^{U6D|e!p4beh~Se>W#@cxPOOkQ@>dX&^ip?~YasrA-Z#T?
zfNk9|lzrS=`J=@Fest1UTNHJr^Ao<Ff3K?YCH=a9iI{;ut1h#}`5@RfmCPctE6kKF
zBBALZ^o(k5)x!BfWHdQ1Vzsih)3N*VZ>tC#K$`Q;w#zVW<4Rhy`){t?3%M(muUC!F
zMCa`R;Z->@EzuWOkPt7-V8Ho8l`VlnzLAtSlg~6QP0F)kb!Dr*Z2d#CK*nZ)<xK&}
zo&7m}zH^Q7>X7DlVl<9XXd@w=ZM(C(!4Mr7a7yv*ZR4Yt8n{*GbOukpYJF^AmImv9
zBF0Ga`K9wXZ5TzWUR8^v2M=jq^b>JAw(;ld^%nmYY;UtS;MKcF^kftFai924cvSFd
z3Wjqfii;5On!uQJRLKcU3qUCNu)jOM)GX^sTa?xU4SQ!8<eR-BLce!g%^?cA78SZ5
zzx%sKm5<$Udia$!0dORGq#q4G$r@|eFLb1l55?k5SQ`HGX{?K?4)*l5U?>36AMR_<
zf6IRcW`+a6p$?Sk77hoj!0E6lI}{=96@xR<!H^9>1Qq>XuFHk^VE841hEp*r@?9H#
zHmv%%zq4N=^=rj4h;DaDVn4iIea_0<D>y;oo<YJ)A6bB`1@8q%G>@*XDF1v4ibjT*
zEidr*lS-6%WKHjPhu%SzpUfU)eU2WgZZ-q;pZ76VXz_{d{B10Wbj&Y0o|n2UNkWAK
z<1DF>{Vrce4aUb|#nq1`QX6_4GWWp?4jf_P;|SLZ)9+m8cUPK{Cp{tf!b=ZcFZ0!}
z-%Ng#=SQVkzDQ_Y2<av*M$i5GCNvy;c1$8OvN|z273{{)!a!o7xk}qa9d-TKb{epE
zv^KBS8B9)IFS~neY}4*(sGC?s09Lf539H9M=pu}d=1^}0F);m(XjuD<3cj8ua4Nvk
zoKv2fa<!Zv{I16R`@Q7s*Tr{8QbvndxeP(ksq4Zw+(Wh;)-30FO-<^TzB$1AWMG_k
z_dV^rBs@+0lvtG#A~llUxN@4JqUV#NrYsXIF)uP38HtqEl%K39$0JxliIIYlBSLVe
zQ7a0FPAr74B>Jx?z7<PYO4+nf?r!sCO+;7VP9$=H*@1N}l;W#pgSn+S9ws-N%F{`*
z=40odqxzKD3vBY)Di4EoS%2mDb}OXVn4xyn>HJZs>duNq8b45$#)aU4MA|(-L{R*3
z5O2OvF)prU^$W>@@C6Xa98g0cq2Pxk(nVd>Nu;C&n8UKjD|!WLp$f#4cl<AEtjUK9
zi9ZN?{n+>+v$YsTH1d&c`OL5(*6<>3_e=0CPre$a)_Zz*?ZX#xoF42Mh{GTH?*(uf
z&(rgLq9+=7*O%U4%#e4e1_Dw;_D{-P9pB(aLmpRXxBN+LPT=NuJY`wmyF>5$M@c*1
z8)cn2xNV1gukaGaY_8_`c@OxnWX`(o>BckSQEuGFJ@Uj4-zpvXn3jaKII}1qOl?P;
zJc}MtQGagPp7kU9D;u&*_&qXM@4?_^CCtS$J0Dz-d-d9*aj)wE8`iK~-S!2lZ`68k
z5^lr5s8FaAw_zhimOda?buUwwU2*(_+oXiF_fX^qydM#>t^LY#Mur*Ze3Qpj*Y*Ed
z#W~4ocq>JFQ?%z=$vf3Lv~V_;bVJzQhZxG?RtewsK1kSfqeVo!Ye}03pg*dJsS~h)
z`Q+gXt)!v-I{PHmLTr*%IO3n{EG7vfpJ!|e+9yC{^@H(oXrLH;iVH7|f4u*deFEI$
z?Un%~1-!b1v4uCnxW{{o<MLb1xVpD0=zj*g6`iVRa0-9+>qG(znIowe_c%07-N?DO
z|6YRmYoq77d8S`}R|;w}f+f{_#DH@xpPg5S+q;GA`3s`<eTw3~2^t@@H~jXKgb^Gv
zVXmMJ?Iv+&%sw#Acc`-P>9j$;>ZzkTtTVu{%ciN=u@eJ2f}SsM4OyF+PtBJeH*}CF
zPhwPgzaII<1BsXYVVPYSA2&ajO*&<cStF7RiACkBT}u2^FoKS4vvJMG|6bWjSQSK5
zGunz%IIM{16-u1;xpuft0t{DGYX2l@R#|K1j>A@6yYbaX<!vN;{G;_%9fENcjtmrb
z+bkz((-yA(@4E1_^`Y6`P7aOtYhACD@c&r_cH$qB?&2J}THcrSXy%FCG8?@UYg5i=
z)Qr{Bz3T7i+vxN<t@y4kw?T7y6=}9}bG#<K@-zkz2$ZrI6d75ZYrHJ|wlS2t_z?n^
zT|aDPJlb+zwyTc+n;`qTu?3BViSfr$Q<Qt~C(9H@pB1raa@zfBrTo38!pOV=DuI4V
z^jEKI()uMWS5-eHJjvjXY{AGkou4i0&Y77~m^o;e$^xdtgCXP?-1f2iUR@$cD#Tsz
zJHWc_C<en>=Sea)zY*l_-1i)mpT}WKsGB_(H48UKX{b^a0HZuzEh>ti6_Eqn=U&v%
z8D$3Lpr+z$1-DR%mx|c+%obr?w7i56ok=vMWuu1IL7KBz;WjF|hrCH$*5B~}rzdNN
z36>>Bg5}5#aPfOyfJ(&fy4-y=ByO0-5m-05O7D8NVV%_2xrXVoPciP=|0%q{fw<;R
z_2FB_1MqkNHru_sL2D(Rf6|uf9Md413|W|_vF~kKb9cmKB^a4XIh*?RYK}9{{d)pR
z6$o{nFOiVWEvlBuC8jT40*ds2E65WlC&{UdBW*NfL=%;6Sx|9R+WndZTK{iSYo?m-
zt_|>Rt=vNofY33#AQvWx<pw4T@n2?+^PJ4aY5D&Sc5xEvrdL*vXWgY7;MreWGLo>=
z`MBFmUFwf3EHYjYD1?WM@U=BMS<3oWlPaXI?L5tGv+E1lum?O`XtG>pQT&yTTl0>#
zQPW;hn1r!laLVxJ^=6_~CNREEHw`LJ?mRMXU3yb;<T*Yev9Y48ekj6hJc<c2mVtec
z^9>YN2It-IH;tU#@a2@`YIB7bK7P%}Qi-=FOHS9|y8CF&n=;m|f`5p>G{!+LrPC5j
zw)#c2kec!9lfsC*OJ4{PO<bv82QUuU=QI3uNpCJ6a%<ue7$7gQltuFG%WV(vL=dGg
zEZ(IlBeALKwe;2TXfX8Up<)&&>tMP=ZY#DLB!fNg@VI>i1}ge=k?v{58`h;~K(G`#
zRnNBHj4{l3h<^ZNtzVOGRA3!oS2FN8D7m}5oqx@aD%{)^8k`iXT<-YnasT9adj-w+
z?N^K{85vU9AEYwdRX4x}(8@qsGaInebw~{6221Q2eA<`Y!mfQ>=lCZEX@dru`z1R|
zfR`qGDtXoaj@IY?Z!WB)KUiRxOZ%SPi$P6h?<`XvQ=sXz-56wEW8h?$@Ehm(g<VU=
z$OIt4ERj-uO0CwE3L|Q*PVG8M`y1O99OwnU`QwMLJ`%O4|0e<EZSi0*XCNr&4mo_X
zw;S8W+;tKnvw-5m?f^`~P5u75hUIhyX}o4JW6eU}MgC<N81e7poYqIj?4nJ8zlYvr
z_T7YN&tP`G2b-Sea58ojV}AQwq3a%e{ABd4RUTn~eH`^|))G7NO(S}-44fXMMHu1v
z?jbh4BBE5txmv;0$qWk^BtMPuagV)8=sX`Tqpd6W;(4U$M5on+8$`|Ulmf#b&pRI;
zK1E2wTkpe8WoP$CR*W9Hg)Pu`Bc4e^j{*)QMjh8h4%Fbd@V2j>=!ll(lVMbS5DEM~
z3E51GeG3ZHhy3fJ;FB8<2%)i7<~NUot-vdE`j1Bf(m+77wOg4)w^N<rZL%_3gJzl4
zLx|USyPNH_J8T$A25?BkCFve5vfUoPF(-S4NS%TCPjz2b#6nhrPe(GzKmrZpKzy2W
zFczC`Fp_96U!<MK^LO5Ut>Ie$0caVY8909Ggxm~8`e<gtd7w09#8h!dNBsGQRWnqX
zSZjvr6MkekD`;U<i(e4NxI{1mu1&iLRfycut@XRT$jHz%zQCYZvJeHkPBO3S-OpKa
zFNvaNm>QrwV1>=M4dPgHgnu1W&&1A{KNh<ioE$MS5>9|PI#Sl9JCtBwSF2G;uZaT$
z8oaK}v+65m;wK}+n}EOdnwZU&#N)WG#~}ds;8JypdS0<-V9rqEd@I6@pI2igvotx&
z?n`1dfu&8M9-Dl%g5iu$QQm2znN#pAIIZ8G@WOY`ElkctyEU>tJeIbcKdRvSdwl!h
zuVm?^XBO`pk#=1z{9)5(ebXP04cwFr|3LeQ>ePhV5<8>fgD-=Qsn^BcYa`>xF5(at
z?O{bt)IqcuJ-%Kt6GuQFEB{|A*DW|DdX-TF+VrFxiS5Mh$(HZ+-m%oU;R(QTYg(16
z7iwNij`qpcSK6abZ^y;SvuF)AaC$g4HdZveH1KK1#Beq`;7lG<D)~KUSdlzKgos_Y
z(0=Asqr@mK2_TLWVgv?gFu@lrq5|{(>|~a0=qhqU?UdGglbr@(O$vDrCE*EcD!YBb
zhq|F!Vf-ivZ}$EYpQG#j!LT2&cD1b05&;3wEXtHwN3X0J5^HUFY^|4Wz+A_y6q$8E
z6FkMj<i=`Xmujzy!;##t_FtsR^$LA8w`t*8m6}a1GLeP5Y&QB5=?cOQRV2R+oHFe=
z=sF%EHJ+*J8Uiz*g0=j>?icjL(SK;UvC#5Ad$!a<^DHt<vHU@29sd_p-ikDb{?7*9
zV~6~<FI7)fnd!)0H48tsgq2q#n=T^L>@aTnwd8rVHRLm{KHW60Uw_%8pMh=a(lw<y
zjMU7fwLxD5zDuiscm_|$1Vhp&t2*Rh)+r^g@6|h^?Sp@ALjL>24gRDrh04lpZA4SF
zC=*wETqax9Ny606oN3Eb;<m<(nU3(xa^eylERDpg`eWVV<lY<1`X&Bt2<`vFw@!J`
zz1j+@BtQOzHO}9lV>r`9+w33VoC<|KXkxzwAieW(5wfnW;r0dYlH1#0C{>DC!795j
z(|v_9d)0<QPcVY84j~U7bt!deI_YBv<UkxE9gD!FnX1#_V-q|_De$%2irY)}M+|U(
zOfP5@iU|vx#>(-zR(J<at@fx+8O_`4ZY)|j=&%b8yPE3n7Y3i9;~&)Gi*_KF!MX1x
ztfvg!?Jp*49WV9e+W2KIUv*_*iG=%9Z)*hTcsAz2R@QL7HA$qi7q(XBu26+2ypt|S
z4WcyJoFb^I9(iTMht?YNQ>&zGZ7fT{m2GgE*iv`E)qQn=?L+PPcaXubU{>_%9}j;3
z8PG?c!^wUnD3@}j77WQk%9>wd7)87T-NwHzT5HVqJTh`!`{A|)7Td+o7RbxpryAWq
zzY=}4@44zagMU$W0pM#DNt|mbNNvokz01GRDArHRTeY?|)j3!XOF#LL5<|i_xOpv#
z``viC@b<ksXg~D2F71c3U$)?Nq!Acn?==|vmYWBkrfR%ioU}6u-Lk@XSu8erkkQ>*
zfUAAd&yhb%!9RON#HW}5{gD&rFC8Hv<s5Q)JW`SzuooEpUmGn2D{zB-ppFt3f88mf
zrH-*6ctZ^eZm-?G8(vYV)bh$Caop}HwHvh1cavdL;OT9s+hw^kG22EU!Q)-7?KXu&
zGH^7yfE>)T^LQ_q-U`S)8BF`~C9N(h6`e`Ak+ajq{`HFedRsSTe>2@*xgHo}jDT+6
zeb?rkI5cxzwXsSd6tyH~*vIZwXx2Pr-YyQmH{fYSq4(3eoIw^Df~Kz*qcZ2X8}VHi
zbj3OjSpbBrpC8LI(M~K$rUJA)w_NMC5Z_6)(-+BIYSM|pp<O^s_pz(G|0c9I4{f|N
ze9`fxk_IQMm@H)<H2X$W&pkVfH0aqK*n+|(s`x9gGT~knuUrh!gvRRlJEyMWm(XA1
zz<bg>3-%Yc(CE4F|0$(dNx`6GZ;Mh)pH!qeSKGYC&;0e^bi5^FLa_;*nz+$0gn)!X
zK3o4Dy+e96Ql~Q<p;QErieYt3{u+u_M<c|?@k|!Z=s9q-g8z--L@S%%d(>HVmuZ*U
z-!@P$DEx=hs|UL;eI;Q;%PRtx%J1K$%r0Wi$J@Gk9lAUAJqrOn)5{w=crw=9D*^o%
zv@46g|DS@V8Wr85_S&R+N_i@qLtT!fspR-|8q<@30+A+wgqxS2nvjs;C6ifI6d@hf
z^`DJ1&icEgOXjW8O%dpyuNE#cxHL-0^%pkr`DWKLYM8z*eWPdl=o(>&#mbJQ9;#uu
zIJs)vAf#)q=KPDRm(l=i{Es~qsfa7Yv%3jJeJ45eV_s2~=)K$pm2^_k{Ubo>1jXOH
zo}lzu`^aqk-XkSblH`h>1l~Am{q}3Vafj*E#`frH;rN)Z6xZ|O<v2H!7#Rya3jCVZ
zM~C?*&9v<v=7OKsSDS#`z-X<n0IGXnhVDH|YO6aq^<LT;F1HLU#5>byuoNGICYw6p
ztS)ms-i7@RdYiWFD$<R6^CX+w01B@`88{J_M)p#N+vs#oEFPA$c#iYQ+C=F2rinw>
zBQts^W$Lo1kYw~2Dbds?kGOFD_nb4|?8nyxL+T8p_wwYRp7Whfj}5=9n2Laj@%XP{
z%C&A|fj0N1g<r*|x`;!PaZp3CUMrs?DK{5TVVlXFA{*HAzV@;6ze4Y9rV=1#Ru&7H
z;35n5$}u<PX}e`ys$XS(I`}v<`0Fn`F;2>zpXz=WPkhj2wluA`xE;!dZEaNmvn~E?
zdl9tV-YzChCtUoH&(*F771BIUn3}3TcMLqr^ddPJlwieolbYK7Bm5XAUU$m_?@8q{
zfmoJL+x_4a(cjT-wKqdSz)~w_2^JFGPHTx|_fKz8v@U$}h=z?TVi*nE0XFj)l+Z`U
zZPs_NQh5wctjvMxMfa(kU+HLVn}X%*7|GK^Pwo=qFI^`Grzobvop5yIwMW-wy&%Gb
z@o(k@8joV?|K7?cJpismIBr+}V#Gt?vlc3iI*K{R0WMP*+qo<Wh{5>9$h>)-`Pk%f
z0lNR?9~+l3RAaO#V@(T-Dzk`z?vt6rI#yB4TQjLVLKf6!b*o79$kEnJ*)Kc2?8d?$
zhw*ru9<m?vh{OnQZGnd_KG5;3wFQ%YljGor0s7nnNX^(ggYR<t%`NO5(<$)@Obtch
zy())2x==xokOEA7kh?UxL74oHQ`ii4^%ad}>rXt(?q8<o=ml+3>>0z4iuwP!<{=6%
zeBG|Q-YtIK7NaaYLEOO=50GtIh!b!?$~9(3Z;&~@L(lRR5Q|2mFsp71H)M$uX6umg
zZ28SgHHzJ@fyn?J02#D2m^j{J$dh`Zzvyvu55;|a=dTV1yejB)73U3A%+h_<!4OT>
z!XRkL7K`!o=VKho!d;3l3LQUqo9x!v+Rd7pWb>bW$NpSLoV1l1m{LwWFsG&IH*T>?
zQPNtf7x6bmW4yD%s7hniHyDL#+@4=khIwy2F+N<V*gHm2eVjHL9Q`mrvzyQSB{;`R
z{qmLRa*=2c4@9oKz=89*9iNuODTQV0N{wZxh{XrG6<?mY>~ca2mIvE*eSK_cZpY|P
z)Bk4Gn*XZ~RN#i^?UpE%#G51UZjlj|=Gr#|Lr5LOEXMiZ5j}FW<IcCZ+>J<lfiNU|
zJo@MU6x_zN?=$ADHh7d3UyJR3j}OiY%UQix(vWG_gHQ49I6`X)<Al6iI3N7&r}~qC
zCLYXbIbo|Il?ZZ6j&LQZ6XbS8z==-Z@Knl#XM^W_3+W5J8DgWUdyGr(NUh}B4^1Rf
z`-UAW{0lCdjKl$P`ww<2WgxCpDo~ubc`MYNsXU(vCpc`~j=<Sl$LVm$fOmCmrcv8Z
zH<aiL@8p-hydRU4a4cQ2qu>he9BW|E<{TWuaQ>|8q2vyFjSXXaSAN~0$~<Aop=QBb
z<YJy|nF7cVD><D*2Kox(e5_y-)I6`^-3SR0mg&50{Fb<{dyNilOOlx@X_)Mm5Xu$A
zwd(L6iCwxI)Bhq4@*w6OkhlRw#7QQi5Ygf*dqq2LxY<q|e_f3H#^<ukexip_Mia6}
zX`^kC5lyd|c4ih{wujQg&joro@<F8^kyUgUz<JtNb*R)ptIWxu(cwV5j?2mLtIyB_
zAWP3zES+19f>YXf2@y4{Llc=IEjIjTQBgAp3LlV`gDG*D#x_kqd*1$>_r`bx@2vi{
z3qU?;v{6`}8JqQOFQu$whgp=)RG(rc*?3U{SaFgxu8zlqeOQysW4`6f`o2M&S_)@1
zdi>VM2#GztPt^1SEgz6{-F`ZP;~}Kf8`YLmgjVI21*%(vUp^RIpPpA)60h}tHOeQ+
zDeG{p{uG7B6w5<-kk+!AzQ2(-+l~r_igW{$^WW%tot3%=wIm|#8VVg8iK5Eap-9N5
z_aM`C2N{&^T;uWt0qMDEWplS~H+#=sN8^kvlaO;bk~BVZx)M26Z^aDtHJc%lZUMyV
zJj4?lac$e!n)910Da1ph&(l&?GD0G;n6#L!XF9ul&u`!)X4n1g7)7R>Ap8>gkbFMA
zua+m-h?D*{pV-o@TtUr8*IaLI>clWTDpc@R!P=u~*~r{=d6DJ~0OUI)O$*lvGur4k
zGpeasHg!9iNe;p{Ao~H-BWg9?XFzcT_S5#GL2Zjn8ilhDgbnzB2|l;^WgF8NzU0aY
z29?8?BozulbAFtN*enEC_)ACILzt?hi)H#cR6#;8TlsT>U8gc`*E3eplX(`znIxjH
zRO!aB=ql~#`($@(_j*5Gjnbvt-TLeO90h{4v#wM`Nl7f($ra+=HP7;*gsZ`fyW^W|
z5v7jj)O~gvgK$(JwmIMz_S0^<li(8yW{vu(+Ki3<kHg4AG9HUY&T(U@GdxHe%%Dyd
zk}260CKVsbEaUE<Q~+5738xyd$%oJ0l7uL{|B~m-ZZflFU{z8?7hsSXlI*4WT9nto
z#mq=>!3S#a_K2;Z#gN#|e0KZ02E{N39Tb~?49pL9-WeBJz5yQ4)b=|61Z-oKKOGeR
zT4Q3ib2MX9{pUhoCZQSByXf6}0qC3dw6u(2#l^q}&vIr}oW=+TW-ZR&{&BYZlWhGB
zCJkzV{Gr>X_}rqs)rjoCmF(^n+b_CH@-a*3_A{M>a&k=Pu@hZ$DOhuM`H;Atj|sSO
zD~VQ`&d$eML;*&xteYTKYmZUGc!$zM463QMO3Wy(%q7Z1_GbwGi9=aw?1eS)!A<_B
ze?2ka!l3)FPTZH_ZUtTQN$Bhk(yNnUM2M#907&)9e1YoUII)%?ZOWCGaN5DRd;Um#
zsc*SA{YN>>Z}#m9{n>Ts{WCfg2o!&r*#hy}aEK##v3Y8Z8GE%N+_dhwnT{!o!JUSI
zun4sVk+V!tDo%M;u4&MsoZYY50`le&vo{5Y63HVzT8s`<@49Na(K^?nc4Usy=qA0)
zqC}fKP;^2s$e5xdR40?prWZM4FsYPEee=UHQ$ov}?utKMx>tvbUG2V_An-^)hOK+_
zyz`OKRV)fWN@9<%6Pl2f^xBnHNS<JH_AN?{pYLbK_NTV#rjsQy{*;YvhFN{}cAd-`
z(rd(P&*JvVmjeytZVeipLlq#?)*S<RBqTS~F&H4Rxf#fvN+}xlPlCV-x$u^*i+Z9o
zI5J?v&06|!(K#v0qmXT2jKtF30!@FmtR-Gkpa;Yal4Wq}-%SGcZ_a68w^?A|%8qzV
zpQXED*grEH+kkxY*e~KOf@juQ77*drld1e#V2b@U@Ok}lt;N?~eFBtP(w70m<z(9c
z-SX`RXhQzS{+41*KUe$AREU-CfCf9-kHkk4hNH8l=R88>@AcZOI&5A0dJWsQ{?4#q
z`P+0Wc%~U705ja#|3U=LU+=>5T~e=BI9qQivdIv8d4fUfDe>H4sql{LXXy@zvAiyp
zK03{}>akj$F6{YbWCKiR5F}m;a}_kP$4T;c_a=cc)T}_Cu6w%10wf6UDAaym?uN5w
z`Zo3T>KB*0f?74{F<L0voaXqHY69FA*;HrXeeY2sS#fT5d_#Bl8j!4mQ-yxBFMs@g
zU-4|EBaCHYIDCapFfby~A34>r?fQ^;WFir{Rammiy<rzw{bDkXTbhM80N6EqsjqV%
z44B1iFxOi?{&gwW-k4kjPGBB$h$=d}N8dJw3BA~o`>}&0E3SUZ*lerDE4S^v0B;Z*
zHf2DjouBr780lECNNCVwaqqgF{C6IM$lxnHr*A9CKW@<k@5MbQw)$l>>(1rV2u&AO
z*w-NicOwbZuHublP;!xI4b*8p&F61GNlo@#WE&72{CK<*(g)8e5vyPtNza;vnZ2V*
znQ^dY4FSzieKSQu=#J7?B@29|W08j-*vp^vT>9=l!}#R~BW0MQB2zuh9iT!Rm23DY
zu_}N-DBA;&#OPzB_X_vmg{H9n3!R9U@XM+l@XT^~Yj^-SdtF}pN;5qS@g+2JzYK&#
zva8vLCL`><o!$sD+HLk+Xo1*}t4B`<Bn3cW(2Ikf@)^?+*Jr(ybt9vD4k0{7eTur>
zUCoyTs$$ECEYDDfXAJPmk?;00U9I<Hp-Y4aXS>H>PF-EZ{B8&0__T0^PP69axg+7A
zkHl;R^Eqz}!{J@t-DmJ@83?871Sw72k?Mr;;G{wh<-DF0r^TexiURXQ`y*N-JEM|)
zk70(_)8i8D1k4qRa(Z(7f{-W0Yej@Nw(6z6ERA>Qg`-oB3HyxZ<KqI1QWL8Z;x2^#
zQsgWBX`zZZ+Zv7Rr2Hn$LNI45d71^+1n$cd4>(6*mUrawEQ)D5;+vf3|D>f`RwqVk
zj&6D~O~VIR1JVI4*vTVaHr{uWk+aFTRoAB@6C|5DeTNf-`GIz`X~lIMJV#g{|E!cG
zHCF5+JZfg}teLK9cE8}evD1r#9~dh}lK9Stg1Y7sF!HZin5iO6tz#2iAnvKmI9!qJ
z<or2a*6{|QI?zArdeiO~LAGPgwGWs=7wAC~<lg*O04{#O-0ER#=W3f7!j~{Fj<YG<
z1rEOy0sss3iNqXxhXNA^JUuLD-S(px`0<r9{Bj)ZjCO$2H+!VuEj-ULx&JI_B$_I<
zD{Ri}(;p!Xs;r_+M#;_rt;iP6MSo4_8NbifZ^H(Om*+(3L@WftIBEvD`&fA;dq&hE
z_>z3a1G9AqJg4Vw7~!AZ!<S;BXT*b{%#LvHY?PlhuKDYUj~$T5J~A5SqK_TLD_KBY
zcoGlpg7RH0LO>MoeqR0=Y{D)!irI;gb-sKOB)cAhJacGxZo+OgTzm&s@UtQu)Y8h4
zYNz4z&i+lTn$|!A6<t$aU1o;ORXz{0`tri*9NW}3P+YJYjsmk+ZaZxpOlx>zrzQJ4
zN(w%rL25S2L%f9LV^oydtE_ixGVNK!svn*@#i*oLC7}!kobVR}{C~P_?@s6vBHlZC
zQd&?WxRC;8<<85uU$mb*FS+wyVcoeTnLB*j$EK#x`9?^_L*7@qx++lZy_atLPf^m>
zvYR{56IK&JiJ@Z7{xOnu8-|Wa(wuVkJ}q!JFkwEhxaU%$3lMZXN7Vt+XuO%*FO8p0
z5reo#=FlV{EwH>eaeYrU%0>miT4cZ68H8mPp32-6QDah{(WvaT`SgU1ad!EZ1EA!U
zbi-r%LbeaP?oOj74ugg6xWSYaWy0M7jUEi~gh9hFxnCOB?#8Hf&AXPybBBwsFxo+&
zw;hz5_*#a&KO@}S-&~^K|L&IO`I^IbxMQD5TBTY?0V@M1>8)uCcjNIx;MWE4hH7D_
z>qaAq(~3#0*g{rCAaLOHu*HJVhngIaM}Ss#9SixL)CcwiJPU(&sKCta*VgasuYOr+
z+XhK4f};1*{5j=q51NM#R@6O3o3GPHo-Ceh8-!8EmBcRHJ*+?Sc6_G9P^hT9Jm!FX
zIbZ6V_q8}E%U}0qq<bo7`s6b>k^!23$e;ft+D4EcjR@AX5p>%l1ZSC0VSl9OyMmXN
zla@WOuZ=8Y6r#{;B)yk5GGQV#4--l;?tC^eV9(hqgrPoYn0@q+jPUV->%H$r(9p(>
zEeWQPlMp5MT5dj!pz+`a#{VpyJhfX|9j8$NSlk}>FweC5X{E!vAVbfHAPrLp>!;qk
zgNRm?SMm5nr#<V?xO`oOLhk4Ba4vq6KK0+clYvSN;ad^|>)sd4e0S@)9jvX4<(!S5
z{YXO9(Lv>4L~^i_>*DR)+5M(O(VxX^(o)-4>L95lcx%C*GfT}g+RfBake7b;g3Ufn
zKbh&*K!T=Uf)J0;7KM`L5g&0rG1_x4c99*WxNxg+^!xVS`&hC{a7<_TZ@}oB5g_g!
z%;Z|jU6!A#F?OIDMG?WLRraMWsLoExtDvM1Aqsh5YpK3W9SWJV4S_5G8tq9|;uTeK
zSqM4XP301?WEWVnG~`kM<E$2#cQH~Ajeui6LVzVR3yC}N;}@!rVYg|2MJRw0MxU}E
zI($Pc-ow3LlnQ|$SIQ*(IfCzqtEet^brD+@8TcJ~ns4sev|@U=fa%J!Y-G2=2p!1o
zeuMyw)}~z~NZrmyDb6g&>@j~j#xbaccQ#t|kINqlj1f(O^v##XR-w<sxVsi@*npTx
z&_5HsT$nL-Z6ef2X#h)A-W(o_j=$Yj8YiiXD@k6ri|AwhWw=<BUR~_6^p=NLG3D;U
zq%ywIm)*RT04HG*Cr?Ya`97z4S0?v^e^zaXgm1@{`{WbWPk|14RFqwmc`X6T=+R~?
zcri}(YqM<aUt8u|_>Gq)-!)dJ4*!S)Rv>`WL3s1Qo<b6X5q-bL(S#B1bxhL{P040g
zBdi3hU;xu0<NO`B>*T<l)xUvWwBXax*R3F;5f9aCoVl-Q;XOy=n6Qu6Wp9%G8Fa!A
zO}+b_%YT)Mls}5~H%d25EFjt?`@wk-oiLCfV!8~D1D39g((sMoM+m=>tyt(;b^Em`
z8n+_j`7j+^TooqPJuPg9XS7LE6Og7novk%q;jL66wf9-h(fkmvE<B!JK&h9pNO2Hc
zq`a@+@Fhqy3e}#mt*H6xIbUiBNg&;6to@LT0@|r;E1yGXr4<AG6D|Cf^6-Mw`vZz8
zFB&>RWc&_VS$xT~Y=o90!-d`3m#9VcFh{+^l;LAtxYhO3+4rK>FajFN9{cBdx~`w&
z0T9bzqWNcVf*j#K_CyiA+FfFg+2w96-37#d?L)E;mCE!p-Q2`XNZwKH3L3mMq=ydc
zxb1?EZC$A$<4FMS*f6!?QBWpQxmx~lp>Ide$O*N5%8oQ=S;V%QQEIp^ym*T^>l5}T
zKML|$x8mwA#jRd8jUS6|>2m%z;?DU#C3}Nicv25F@z<BO>v-a*-Y6pz(Z+|H5~C|$
zKRJd|^xTMEc**^|b0%SSot69X>r$4zENoTp?s1S>-1{>{w86A6bj?W+V=i@6Q@iLJ
z0|l2l5Ji61Dhj`<QPsZta1RQ<cF9oEa91n1)_D8`?!e2fns)#FJ8vsQAv>CES=ec*
zgxWMTEM`gI4%&@r`T}m&7_3QVEgE_p+4}HcKc5ahDg@UmaJ)G2@ACr9@$!xb?x{%F
zO=sU_fkR5!hyX_Hv=9rNRUAkbjpugNIu~z$y+YNb6S8P!uItUZdm0!gyx9P}@gY5T
zvnF|Wd^bs>NEfMU@9_TA$zp%-?^e@gu_ag^WnJrZZZIuLoOjQ|0+@gKJ-U!iCw#jb
zk1j=aqVeI6tIEVkW&JKnF)MsYW2*^9Hk&WsFb)WsbN_t0I4CDGZI4`g*zeQ#JtNKU
zkOOG0AbH8(W`Q#n(y-#;q|J%dApStg)^eP3?(O3?Nr&)F=SfCA?Xin$neW*)#q4L7
zECC8<=rVbpVfQlJZzz0%toj;~ZX<(+>pg?b7_06_Q5s|~`%`g{q-DO->AYCkf}WHK
zQ^sgob6J<xuyHvwr`M3kmh5L&w;ImROT{oO4e>PWUZhz+VD9}-LzLJP>`X)`L)gJq
zIYq_W#d?pPe^BjnS$bi0&daKsH^us~d4yKB-_q>j4z(9WtUDk$a%8JmtlgFf#JP4W
z!~)Q3zo0cLtzAom#&cv1K;O~tvM;b56gvUz1w@-sPB*-=Gsh;MN&1q1j=O<_JXfzp
zv}bD%d1&F1v6`v@)1qUz9lT=Oo(V);nPomPzpfR5^ZZq!Zi*V)y0(0;kM6tPfaPX4
z&7*gxc?js?$kC?iywpd=R?B<Gcr@*vH%m!y_aa(VW=c;urjx1vora@(KNd8vi4J97
z&$uROaima}-Ugs#?BWkd%HGaAg$SEZ8_)QJNb?g-{y{K&6xQX;c5IMx2m%Z+P}CB`
z{(iI?v7!@AG<SEoZd0FZpb(VaCr!c7(U;w6$G`TgUI_>5GBSyaZ0=NZIM*t&p{wM}
z?m_N)&(Zo{Wgq^S12nSxb&p}yA4BE71^+uLabaDQ2-;)nF*A)1AW^Ax$X<)KnW$#b
z_voDZ)2pVp5$D`z>wRQ)UW=Wf9SN;S!pg>qV*uR<F^;}}fqBjgVuU2$Q*0t#1$w;Z
z;(Z#V7WKrJw=CD{`xHm5mN|y*SU3kPsr|2;He!00wT|cbTxZI<kF$*WdUyZDk)pP>
zWPnU&K~S=Ewt`P%9)E{II#?%F!I-8%*RkCn6!&AiQy!2AWQ~MFHFLA!!jPb5I{S%D
zN|I*9U|`T<a^tMvDhU8%7OW@%+s)VlP*!O3%@vs3ktQ*pm7<Y(WE<H)lWLL31j}(W
z5AD6prg-YX?l>^Tf(83t!uP+_u8{kR{yqfHN;2u{#R$(4>PFJ=2tU9GMs<J@X~Wb~
z<bMK^(s+qvV2#YV{_oWv+smPU+ZZY`P(5#2oAtNPi^upI)K1IKX)q5yYLg*iLpaUp
zJ%&rI88o#q3jDx2<f=8Q*#pC9Vmf<4XBY+MK@1UMkzxX*dIEyU{vh7&c`XtM-IhuK
ziBVMDKoqZU(BI(e9pv%$hu-hUCv)_!oj?<Ez0ho!cFd9Pwc29101=2e%qkxj4Ibo^
zEJ{nW+CqxKs(3MS@BU(iI9bWv<s-BMy19Av(gULFsjrFi>mIUi2l{NdlftYR0}@hx
zefHx4+pN}_k~^Df6lA2@-vj(mWr}!Rmn0xs7l85Mlia)S_G-vps3aWFW>gFq=lF<i
zA4b*mjr?!AEnO^nB-Q?WTjOQv?_M;0e)&GCy1$DH>^TR@18Gz4;TCcR6zTSby_RTT
zQDju>aM;T6y)QQM2;FT{cQ0!19m|QOR?1>DQt-!j<)C1Q3N>Oow;5g_2>1v$*kl&2
z_~a|)h?DKc#0~i=frbZ6CHG`NBxho*@RzYA$i7N5J})NT*p5(EyyMT@x$-aAP|W}b
zk@rzu*d~>i2;^ODAT$?_YH!cl^I3biyPty#7vEfAteM)RU>G|=fMr&xl9U+mWOk%h
z;6vky;en2Q<HbJ<uza+xc^^)2_mCKhHZ*ve=wT#R8G5gM<B9lt0cVO=p&C9C%pqm1
z6{G-}7BsZi!LW<5C8%4XJ@D*mO%OzYdhY!9?+k{&DL4pIETCFXv%FEM@grTy_<dfJ
zVpXGC8y$pEtBe9T^Uw9rXNSQQ>*_wHVs35fE7*ICT#?1Z<hEPteRVr0wo3XIJKLUh
zVC?JLk&xba@rQ*rgOv%Ml!P|{>ZL}xcj`?mTc2Vx(0&rC6_RY%yio=bmE$-0k~13V
z6(k9YwT4D6?J^hM*XwQ`DPRL2TBAWOf#Q6B>mK*!Enod%NPyAw;lte<7iQMl-_;{^
zGn+}u%qp?}lFxve_XtGujzilF@ObSwto@D>kEu><%csC^_Kv+vo?7s|!zZubDUNBa
z;#57?>?2#^^tamij9$DUdB@Ah-Vl3&G8^&Gv-uqEBJg($VFttEg!2X}{`O<n{5mTZ
z9X;H!`{U_L1wQMwV?O4ZH~~SERFedMtMows2RENqz0LP5N*H-;^?ARSDW@|msskt`
z6iOrkYc{Z}7t^}y20PfDC!euo9kK|bx*`fr>EV@io(=uee(_f5py^_4O<&$al`rFK
zWR~NEO62!`d9b^uVNA0j1x(y{YXi5^Fivqbqe=->U4rN{i<AYn5iq??T;UYGJ}M`8
z0-i3#1kN~YJI<2<-htx<*3=Ok?vwUjW(A-6OBe?^!)=!l1VzgLzXMQ{l<|zn<p~Y;
z<2$Wu2Yqfo-dQ)(!IAwevh;PF<hrF<Z15FJy`c|(-5gK3N2hb<duDoEKe>LAh(B(l
zDcl}<)$*(JHl(v4*k6m-?$pLDG)reI4Xs@Pi49`oQ|5c@P8AGG4Pa2NQ0V{uAhVjY
zuPQ#4;<*9m&?ITnLIPCDy+tw^0Ex<-F)>y_qiuhVB~4z3UpRoF_9v#*wcM5XzlDR~
z!#$>d+VEt+JU}2I!^HcLJ;Qio6W2khJHH+G)Zy(;-;Ac;Km$i~tXBLv#dcr$swS>3
zNUXR=(<(AP*P{opGS4{<z?!lJL`DtI=EFf#36_0Sb(Z0vMJ-thBAi@t2}HUwzWTA!
z!+C6>v)`gxHt@e|;-=Ur)W=?VkMJATaVe)IM~RbxlMjGmU6|b77rB&Mj<-)<BD&Y%
zV2FYK$gcad(Gh8LqtZ1HpH=|9Gz{Vio)$|q(sV^VyoK$p`&6AZe_B)>p}+C?g`exG
z6@ZJc-mafml3-aT1=5PQgRTBbc;}zyf;hG4J-P}<V)K^OyRao;CMs>Kq_rWmIkV(~
z;|!ZQ^0q2+$#S9?&QV}J8JD=^-;sJFIOXE4VvG(}%uh^s3bn0#+wYH)!;dL@Do(eZ
zam8O4_9;$>gIFTyMgo-atm5oTZIZ3J{2!~AQpJI7Ve3uFmiCN5Ba5%Et=(qxp|Yvw
zFnBq9M$C09nb&UO{;mQ2;fBVr2>+$dqF#=oBbktJxa4hB%NCez*7WbR3R#rMJau4g
zy{;a*=tPAzBCLW@W8CyVyrv5dR;|{2^_<-JL+|}3QD8NABXgw-ME>-UUvN*yG9Od7
zVinMPYz=cZ-jGsLrSEA%r#9?+^jh+7M-X1M0!dEJx0h|VZtjIa!K<&WW#sT_Jp=yy
ztXNckMJ3Cs;7r$cXIoA+gf-0b#n;QqP5GzRR$5ZDcc(lSb*q&zo;g6gYufxqe7Q*n
z&NYubgmZLLtClxeyew7MYu~)JjA)P)zam|H*_Ck>JiQM&ZoS||1}d?_VD%RFy1Twn
z7xOdMn%Lo{zAl+)d2ruLdEjB)Z@Ejb*(@=IiJhtAAYqgY=_UC2pKH)92fJM8?ly+y
zoD%o?0e{y*dvxuCE=SrqUo3EKhhoQmQF)o|i>j-;*Ttt45Wm$5gelTV;U=+6-0k08
z`a^0b)vQn|6aE=t)-vYcj8OxTVk7Tm_ToPYgnK1trj#Ma!#6r~XbY`oJ_;k>zCt`8
zK+qFTWCoAJKC-PiLfYk%eveuD9Hu_ye8=-Aaf0%qnOj!``J)CpQK<8KSkQRg<{NT2
ze8ZqCgxizg&+^xM6VKFb#*fEP=>>$(?mOox%$V;+RElh$8NpsXVe5f_C;;9Af2k8j
zbMw>1$Yb5!1}0rjHZ8^Bsfb7eC*E>J+ZvQlTVZvprK?MzR@Zy`X;Usw(*(hbt+P8P
z7FP$)dWF5`t$zI7i}BAS*x_Lpo}mAN7PGi@IEQ<1LcxtFm}&ntMa8>B1AF_a`hm=!
z@&P$Bug3OY4$5BDN*ESujAzF5PLvn3!Vqd`JMD^PM2A8AXN}u1R49jP!^k*EmlCVE
zCY|UKY%QlHH>}vDrA^Z=#zP_CgllUE=a4I%Yr<qi4K+qAou<)Q6zcl+?84(8n(n{z
zh`_j*4xg%7Q8V5D9gDc0_Qb;N^X!p9*nYKUx*6Pg@ayF;pOQNiwV6O7&CK=%jm^cl
zf#vf?fK7ju4eetr4^u41i>UTI(FPt}#(-lh*LH6YJA6!TDp9lJ;9r54O{(k<aGoxC
zsjp%CbBNCr*so{M{zDYyVE9oegqL;#+gb_R8LNg<j0|y6Q%=TTSbncE*&(xrUA1D_
z&qTL>G~9&3MEa|_w4<8AsCFHuID5Vtdcpb9uT2U?tjYL+Azio0r?2K6Z<!3p@q9xc
zQFSQZH-`Tn&0(1!m^!%=R_aJ9v(<7%iD%~kmHM$<&1c@q=adnByhNM$orw1Zjj#HG
zXHWqFX}O}%PW(OXzV&1SYx};?R6}SlpY=q1OLePc^^IjJd_(SxJLZ2jk1%omsbwt%
zj~tQF)oyln->?XktE;N4RxarVd$73R(qJ66TVmi7q0`S24F2Q%%UfA_nbY;WXf8wS
zqzBHPCNskISY@F!I#l}@UrltsNeI42ll>)yc$8`>YF5E5>Scj)8l!;enJ0)A?6l-m
zEsuv=nVp-HcejU89QYM$+UZR+eS{YFZT~bQ7uV*pneO1_-i=axH-38}-g$DleGU&p
zJMc3X`E$0sDE176Hxxx9im+5coEpp7GOaFFTvbO@Y&%f7fBf_A;brd;;u+~0T;%?N
zx7BhMxfL}KG=2`H;4Uq)vQ=_!+I%A!nf%#0gNm=X|Bhb`okJrh%K!0@cI5D6q6OP|
zh(OVxE9E$%l8b(t*J|04tltEu=H?TgOVtx7{z0}R;{Ly27(Pd-S6DD~gzf+W%=r*F
z5w`Fm$1Ib$z^lg2qSjpclmRVracTX;^5ul5YRAQCdGjNBP;=C2mN`#Rytl&lA?-sq
z?f9~u-!K$`0ePeq%fzTAhwChP=(BMI%3t(`vu?#lc*;2U-p+$!iRjuNH-hke>G;d_
zYk5f*+n3dmnJ;Y^{*S2lj;H$l|HoeqvL!1-A$w+KXJ^mI-g_KbhlDcA%09M`y>~cv
zWbe&69D9U=?De~PecrF{?{@RQ8`tx?9*@U;Js`^xr1pgOcRnl)2Qk;|nVx&0f9%~a
zYT7bDqDLeiGBs(c*9V7oU2<KCpAVg!oZzY$^UrvoAc_nZm0NRN-Bnlik{S9vHzUrq
z4(}a}j{KFS=$=MsADK1s{42fyHsTFB!Drmf(0(dox6+Rr(^NBPl~8;Sgi18cJ-rv-
zACi7BfijrT_iDQ)Pp<t++~HDb6^2Ff5<S-5h<qziqWoUxcgCAkLGzQ+w;#ZFz_W%s
z-$p>3ZSmVyBF^a<O6+lml0aW(0kGmI1I~ulcH8HyzHWPz4&-t8v>fPDQVXXst|`#;
z4pdH8O!HP;QvB-}2HDTxNU?l~t(O=ci57sD_xqkR6*zovGe_r4pCHHmD0D0|N|uk1
zr(=GHav4!Btf%qE_qrBt-#fgrD>?Tk2W1MdK<a`X+Ee!{io#c6`jFV7l|C(e7Vg)%
z2MisTq!^ei+QysyW_w1~#EjFh=2GcsG!QweV1jU1=x{M*m1O>=ea@S~-!c}9In1bp
z1I=7nvGMEg;%3+bCIyyc?$FT8T%C7n4n0O+qZe+t;r)pMT|$tK;V@vtVy@ZB4um#4
zmTZJd<a15J)*WPE`p#qpiq0MdTdV5I7B^LQ2PW_q7ATO1*$1~hAclX(;g5tnE?Ugs
zgm@M`+KS86RYenG)!ToUN^3Ql$Of|8)U-7GMq$SM3vVsAHF-uBCh|jW!H?rPw-qI|
znJTzke$n->UhA?K-_p<~|FvHp%rZslZ{z!=QfJk_@{_Z0(L0#VrJQ%(SRbm)TClJv
z76#ck^bJkJ(se%0Gsx2lYZ>UAwhW3&oP4S?K(Ogl9nj)Y3}uk|#BY?%=*7i3{glp#
zLDT$$Vi3+@QP9QWA?@H3y3O6%9c6^a&u>${f0{Qo+NtN7)O9j9=VUadN5)j5gt?N<
zd84(7La=pQ*8a7VPP-zF7dP7m9zR6-kTS7_C!}-SD?^FzKfK=CEE9vHhce7U-Y+(V
zK3)~mJD@*jnt6znv@!8YpM{Ce<V#V*Ga|)@r(gTo!xQN@7X9?dyQ+L-ycATH@%13B
zC1#k$*#=xix5k;j*-!}G9v^K0L;V}xep#|EE0$C5?$g1Se_MDg7nTNNT#J!!4^%|J
z&CDg`6$y5K&oGI>CkT{{-PQ^jYr}jB4}^s_nEjk)#68H{$+oe=RgUl+$N2FK%0}|`
zk!|!*a%m>?1Jm*AY_g5X8hEa=Sv}6*i`TYJ8Z9o>wI{O37~my#>t;lQ?1{-$MoFwv
zp>;m(^-Wuzp%JH;8CY}9u_A?{wPz8SztOTzV2xIp{y$&&W2=v?RtX2|3UHk-bf$dG
zx<7Bt^FX=1=hu$6f^L`p8;7N7h0Rz~p8Z@-nWZ$Ec?%7m5(WMBZHkrzul775v7G3g
z_9NGE-EU;Z_ROKLr7^zd3hK5L>_Lycb)1%vMrJKWB6tnBv(2d9AJ4KW0#Z0YfeS%L
zdCT|uYw^{-9in!}SAD>4viMRZ%x{Z848E!%Sl&M#Z>@N4SGDXOT=6FcFT-SHF0s%D
z`r?8<GkN&mk+@!M>DsfSA9?2+2S576TV64fSyhLOt#Pj4+VgYNGNL&Y7P**<8W@d~
zx8S;Y<9)se<#f}gbIr)S^-b~QeS#{baNNrxc>A5QVZ4k}{fobS^E-Xo9};MiJSmx$
z=rQ=wH*3x48Q7m$p0~r%g{#EPeDEm3f784l8f$)fG7pvn(ZfS25B)sUc}aLN^}`}s
zD^I>Fc;{OhJ|4?jLO%5?OP}1f&XO4&_NOh@6Oo81Cdq#tj>DfV<*~&TqWe@$X5JAn
zL8HXD#8FXB`p{^$6^h(wl203yWvdQ~5RZan2oV;^VILPuMT4&?8zuMGs6;{P=r%a!
zVC6_2*O0efG*5cxPRgZ4)vuenKay4%`f0_nE)xvrl)brm#eXX`b2()Oi?))zh(Rdz
z{?=oMo{?~4^Gy@I4{)w)`Q`%}>i@mYILF?yu-{`&`n3U{U}8_d7pi=>%$={W9Hr(K
zquO7pLwxfCbdb2N?u9QR0X(o;y~7$fVX0-UeDGv~q@*vHbSYa)i1PGsXd3puF@@z@
zrK8f))T`<5Z1?pPHR?)|_=Uc5qcB36Ea|8`_V;Xhf(yaXQb^>4P4gm@jO~oZk`w>b
zG4R4)e*7EoehNeHeeofuvA{GwEZDTaEDQ75k=-?kDf96n4?1loUuXxD6aUW)4Nv5y
zKh$raxLHbdAKoNrcR%^70OyDK_d3iIlAlSKNQe1X)!`%VVg~L0d{gaVVZdWdEoFS@
z%!OaBuyr>OFaF9A1KJ0<`W1$O4as%_G8<rPsj3*|dfW>O@xI=LdDyx772%1(z3ovy
zpLm>&y#UfNG!NB2m4li+>Av=)Rg|LoH`Yo{l@Wy$jYV^>@MHA5Wa90DFJNdN{NnBb
zwScn8(~BDz^;rk1o?!+WaE4W;y$ppi1rT>7hVH&d>-35L$%!)>=^<}9P8x7Y|J5JC
zySiPv<IJLtW7??4f1l@e#Ov6wGhs8rNX0HnPWz&u=+_kQX+FnLFbsSR>&*n1X4X|$
zn)%%Kn*J<y$lm?$+ERbfPME(uVUOm0t-C!|))HDe9oZVeW1{x8bVsKt1bLCLS|n>z
z)CHsLQ`3q_Dtj2smHK{fYrPvh$7)G>?@L!lt8r9Rtyg3_e7J+^8&1ta0$^DrRz1PG
z89ko!|K8Ri%@n4OXv{wsLevetiZC}`s|CK`io-YQX26cAZmQ@N*-xBl_cxGTx8st-
z>+~%Vl6m7evOBpXZ{y}m7?8R5wK%mP3WlM&;9MaE!y*$qz-cEkZQ4sb*xR>UeLQ{0
zA3L{4_Jh;Wd-J0J=#MAvuvMTq)Nzj{%;iiU<Xzg(oy_)-ucQ4)QOyXA^c<453GCcg
zF1G^S{-@&cbn@7TdmJdlgPv4)kf0FlKJpPVFbH0$*xe=&(rf|t8bmDSYQmk<&c0c#
z8(xc&&}7oXtBD7%ziNG7SfErW(??q%NChln(m&5Q#rWfk>=w{7yB6@a{hZ>BR+7uY
zWF~DW2aRBDdTERb%)hg;YEOEmhFF8GCiRgq+C%s{G06Y<L<Y0)gyRmq2ZKL<*|&4&
zTMM%tl_<q{6C*k2bkHjrIyXq#>*}<S6){{*QK|jPY>>7-(Q@qYadApX_N<o|d$4u*
z@yF3!PT|dz{{dK1yUHaImV)%`naN^m5M^6xC8b#x$DY@J9@H-hjI?|!-M8bM_<YEh
z`~CA;!F>rnV=<L`gw>=VrE^18Wzjv;#;T91>Ov}!Vs1647m88<nwC-V^h2uKG5+Ss
zELGS6FUVnW5Sjn&*BQeEpJE8Kn>97yD`=Xpvb_5Y?kbrWKfg~^d)8j>V01sOoTUzc
zz1WaLV&k?SywQ^-ez-Ko$mTvjVIOFd2h>OBXh<u?Zi4rr@rhNVluK3iXME%R<li8~
zaw>dAJmz7r@M8=Cc(6VAZ_9+Px?bil4$J&@fBX~q(Abr<Kc@4{NFeld>#az!W;A+_
z4W**3?grAihqbwESFXuAiZiF{@Ws_)4#0_NQ*ap#?WWTtB~gVwvXacd=Dx@ckoP}s
zSl51Y5S*9lJ^5&DCj^}+=sb<%jBDS$^KAR`mphEsLk!akBE#DG#a-mv<sAhC3}4L(
zUwU*T_=(JBwtw~Ww=o)S{(F$dU&^4tb`3}V!i}Zr^>ehAAvr{k)(V3q>I`pN8soJ~
zYnT`t)pf^ae0BG!a&HVTRvboi0%&NEn+r&M%7>B$F01=&Dc|d9nvXhKU;ZC^0HXKS
zB4Mz1m2|v6h|=##>2gS=D=2C8ybBQBP!TAeesTKi&rzj~EEFOWXgjg&R;xQSZTyL)
z*%eEI1X=ze_i~bYR?Y)7OC%^#WOD)sxwRq&g)1s2Yol&yF*P$Z&!myQ1NW=&QS28-
zy!Rn9e^B7zRpE?oEeeEiP_c)<Kh)}#_9Cnx3JW?#6B!?h`x?7!X?BQ|Y{7l1s*?O$
z?b}4A{&f-j>`a47dm%bk#U3mK?u*hlXQ0T}hi;2mK~o%GPO?_0RH7t2XaBKM>qo>B
z4>Zq3i0dRB_|9`5S@woE7cU_Z(jD`5esP5lH9z3-4A~iF(y)FCg6?BM%mY&5g3!)f
zrqO6;n4RC1Ltu)Xx5dbyL+?|_yZ&8mu<AiSo^IoS=1u#3WW&4NG{5CQo%)wqsgwR?
zA<2{JI#`-ka4817Z{BuZ*I%ELA8>AOenA<zI>x<M6XccITLbf}8%Rv7tSgR@{c&F~
z`4f4yVN1zOJlpHm<l8~j6Ppf+N87w~p}u%<xdwYvvG=XgUp>qHiO(D@#kSo?2Jxm_
z9Gc$}Ry%^{=x)N9l=K#;u&+EO8J<M`Q12>t)NQVXa$XBjw^~Ny!$15RmjNIRg78Ks
zh;!>mv`_N*r1~E}6QlQ8Wuo#!HZ;lm4$qzLsWHM-mNs$`x`~qmbE)iHF<-h~R_l3L
z-aFV+{pmMV>6r1ypjXvXeZm3v?VYNA3{Z^nq|Sy;Jo^X-)eO)NR}jOYPh!cFC{~T8
zV)hlc)a%$;B#ed_F3o0m?GJa9!{v@*d#eg;+D_4wUeFmVS-6ka0jE|b`9f2(IQNmg
zuz{L33HDz91H;aDMNMLr=R0`t42{pWCwOtY&co^+w=4c{jECZJaI}||JahvpdThc5
z!#WaH3w$RfPFmb~JHIFP=wel`br@1)8cx~hFoDO|DaT8q*Snc$$K;HijkV6e{S73g
zdKLa8c(W#+sm1@7^mZg^F&Ce2o6-;gISN7C(*(Np1j)hgWQy*H!{lSTsgEq)&;AZ(
zx1~;=ecnv#_{6w#^>wEdZ{XT`@4`svQl1icjBGXX<$CYAIl|=lb{1!lnX#m~uN$85
zf6XCM<J@*ZGH)j_|ML$trM<*}x^IE9w`=YYw7;6ZTUYy0ZQUeP9XlqcONy=OV1B|a
z5qbO1+;}DVxuVA3ui&ZdzO(tB{@dPvf|*y3AUv;z&3DpJk#>hqx5JYBUclFD4fAgd
zUAD*yf?)=22=xNa!Qw<0?Yn+E#~T*A-zS1(i3}c}ef$p&iKk<DXL;}8M<)&4`C0vf
zN3MM4tSGg?>1xs|_uyv+oT40Sy^8{r*79Oz{mNKgWw14Y@smPcb1Q_d+JL;YKs4G9
zW5Xx}b3K0X_jk$9h?5NE;D;Yda3u5MA%w|{FxuQ%N^a^m9S-_qsl7+x@7-Rh`3?FF
zzfMe(7lVH|EcoqcMlrPdLLmfA^D2q<5mH*k>&~2JT|X8?>vknBp=-fM^I7YjS-1BC
zxJA=*cw1EHCv;;d7>dfor_)M)d}!Iz&(LST&Ha=%BYo@f;5IOBTK%%v>+b4FJ4~kh
zxcnun#=H4+aJ+q5leYng@@H^IA-(wB4ocp-#sR-N%EQdw)VThiD+lD?k<Svo?2l8>
zg9a}Uz5G`S+e8m<lx_B;k=u;j6)E4=D*nN8xU3C6rq*uqh#GN<>ESKUS6)mhn-7tq
zDt0Z3ZB9)@_vOH9p^3_eseLjN``aQpWa&ECM@0-6MX@%-Tm{KQJa(UgyEgc;#M!K|
zjEteNVxEO9HR|+=XYx|lIm=cyqS2Y9R*{ZpORbPj3ea`m{xp-%JoKP1l+`2QJtu6Q
z@VYkd<WCvKiwX%p&gF*~{CV1))Qf0czxpM5>$NWNU(1{@U=ID9rSdeDmgng54?qJX
zrV`c*m3n;5%QU?J<j^7)Pn|mEbDaDqJ!e>YzPg5(ihug7qb~U~wPAB{9A^krcegCT
z5|YcPurje#uZ(Hi>ORZe;P{^JFpU638Y}NAVV<)uL0U5-ok*|bwUy)1Yic-VKz2MO
z8~4XUniU^!I2OAHk?c&iRPL?!i!$|Z^U5fJqE4c)0BdbT4o$DRKnpdl_@Zt0Yc*6J
z3bvXAEkZLkxlLRXZ_28ERIDqO=}(9w+lO{*v`|=PZiKbNhvk(I;a>x}{Av6X^T}=}
zKJdzOviq~A>ZM!$@MHoMQ9w#(Tt-D#HBN22GIL{4$@l`rpiLsS>*|M<5`yjM=*en`
z<i9JLXdZMlF-1ec+UHKVUk|TbnVy|%Qd=tPO241e1mG<s2dksolyNf-S_6#qG1?v0
zYZ->)?KE#1Fq6dQMkW){akKzJ&BmaKFlKdbiZP%+uUxaw(D%y9azBA`pYTBF!(G~+
z!P0ltru*`yTT$DUAWLuP11T5kDfTh8uVHK7NA_yg3L8<$Bg9Q8IaUAB1VeCNESS9-
z8poctce35TSB`UdrSw$ikA4%GUnYU`MWV&};#sWh|H?ASHaBa{i+g&4H6>O=g39|P
z`$|vWj6S4NXwh_UDZ5g3(j(*34%Tx;uB{hSH|j=J3|8CU(}m1z8>hQMcJcsVRdahj
zsW<p58eOGYnEu|Y7iK9vKHI06^2NDEm$&2c_<HOoR1u1#=I7ihRl=-(>YCJE&{W`W
zv8@<KYNK=5dyvSwGI=a^AHFj!ix2GD;CKa57(G-+f9GAA9X}yGy$@B(JoIqBY;UjW
zzh^GvmxzzrP5Vs`Q9_Dp^@7Iq{UWzPjkM}M3ZH3p$jqL>e(~p=1BwIUlA0@Z-pHxO
z(X#M9l?1OeQ0)WT31O?sZUFj%PRo&&qL9H_Dh^#5ZFF4srA%<en(Yic)4VY(pKbFb
z2VaIkTWR;jiGlybfPe@%JE`_nvC7Si%QJa5$&OFuOrp0rWsTG1=u;M(9@xg*1C}rh
z;-ioQ!WDlexbmFd?pgMU_T<`xV!Is%mzoyf4S$k}ZNFuKukBUAIkW+crHHG&{2_OB
z*6Ts4TAyKLgaIuI@#S^lz{%U$PF7d(!Yw-maG`zWR$qQ~hIl`#{LpzhH04ok^rirl
zNkpEZPYc)IvB9sUu0~x?>gLr;*52HZ!>Lc98Q+Ae_D&!-!_hIj5sw3({hz}qOFdMh
z<eL=-k(}4o(a;E^<5%Cunpbn`1rH^iN{Gm(UJvmb^~W4lTLys0#L#sI0IAHtIQDuh
z-6<iCSDZ=SopCY>NO={n>G-SPt5siYg-y+9jD1FQPO5oSy;3h|W&^Cb(VPZRc&KY1
z3F7W~4vGlBKo24;F6B8Ro&?dvIC>7FAr;sGc*o{uUwGY&55D;~K{*Z`yBj(Od*uZp
zeR!kCo*bX=-9b4~eYh#_>u1_C6gR?O$u(#4gqR}k@OGJZ7O5Bbj+q324-Bg9rk(AE
zuM4WoW#CteF$C%fa#wONBRbvj@)@aRtjeLs11B2?r7EicWd=bd1~1VuNgTp%Pcbtk
zDXje#DWoMm(7C}E6#+X;!_eVi$o-fMe+9R(zm$~QPq$qq?(jaL)pz*lutSdQ(1XL*
zS}8Wa#NTwfKlW3IA<x%#bxZi*+VKuUWxm-6ARIcT#8I9|L@EaB0ce}N?O)6il=#@9
z9&nka!L&cd;6LGLB>wbi8g2GcmxE5ktwS(=b2#wAM)IZ5!t~3|9hYhgqmgOPdLvs?
zX%EybXJR+|YQg=1qGz|cW<8T?#Qo_vwRZZo@AY<Z-ue&9F0wW%$6Qw~nbZE)V51&2
zNPnMXC#fmEJ^ndIZ%lSTf^><clD6s5oJY78W<|vJ1yd4vUuA8{)kVN^AAM)@0%&D?
zYaPW#%?rZv$!2q_$}pc9d6mPHEkQn|NRr=jf;~Btklt8VJw>-fWpv+JVl72};0e95
z*K88P%YyjzUKOggRzzAqt!T-*2g6PiNxZA%`qV~>aG&-$d@%s}6%z#*ekRti#{*U`
zhJ5#85X8p&Z_6Kqpjn0YW9qM42rhi;O>Do(-%%PDbI&5+d-2FGL6X|LtLayXglA<P
z@NJms^)>H_tIcd1RQkS6UH})wc_ldJq5HvOmV2U-O0Zlu0Mo=ADeT6SE=Bza&5?O&
zdHt|%|0zn0=kGQPd61nzwTc*hVyxNAzHLGwqW97bAeD3+jS^Re68ZNyHtp_KM~PNN
z?xF_f-`wsY3yYR{Yu8rim~5LA%7G?W<Ci@0q!Na~`XW4Ytw0Ij{uPaoaf$`0m&cPh
zrFZblckTMLVDX|cbi``<m35N~ka5IGS=FzHf-qf<UR}kPtdj5MOFw*TG>=l0DpGef
zI_pBuQ3%Kh7-b!^++wo(VL=9e-rGr<6uUa;Kn0IZe!0Q;Pw8A>^f{r*-S}%<nT4hG
z6M4(dYB(y4^W8!~#xCga@>hm`l-A=c8Ed|#;o^_){A`RNs5B%}%AVNj^gDI$NH*`=
zMuYi$*F&VmYp+7bh}|*k!gr3=?9NMrprpb~myS~lLZ`iIupxMejtV1sM51VHt_C3_
zFW$cpl`;u=!D&y}6bcOu+>S=mPyq8Lg}00teDTdY&_e|}qmflY@KvkIWVi`$=rnIf
zN9N@MJ#7C?dI@vmgqIk2a_9Y@sxHNEgTHhWDZ5*rG)U{bVzokp!*81NO|S3j&M%QZ
z&sK8+ptb4OiTdON?NX#sNRBDI@1jh@C1`S7qTC=&X7cia@;Uqgp*J84|INTazz(f7
z{4cGH!s1gIH!@@239+`HR6USN+PF>Lc2=_^6E9JWJ2aQ}GI(aq+gQeOz$8av-&%Xt
zbmZtuAy0n=%Ihb^0jDO_EKB!vPj36e$Q(AqD>OzW#;!M|AK-qid;)D^zbAO>$*Z18
zOeC&4Jonyy<cc;aU~8ICm+KpnN=VB2#82pf;CR1S;U9;@2ixnubIL)k9nkd;-+t}p
z`DMrD<96l$AA~`zFPWtjD)4@#K`?7@_uU|kKBf;nmG}w0``~wyMEqjYKf|XUx!#l9
znSuuG!x|(;*LqWe*GQ_2Kk7q(I(aatx#QV!sedbML_463#k(4CwO!=}abq>DzQmVL
z0LcbMe975f&<<s{)ZUX}3ogJ7fyq~z^ZD1W-NIl}9T#+$iOa$TV{Z>J(ofMtVhC*f
zl*sVHU>Qv43Uq$e_{t9DozyKt(r<sm+A+UE^M0QOtQklvVHMWUh^G&IespKrXH$D*
z-Po(M0e%qElBIr0n`leE0l&eYo>+c~D-@J#g7e8|64>$zsZMvWxjgm*BB!aU&gis)
zYqK4h1%Bk`1~g{){Kh~=Pu?S@V?6zW9urji2W7SY0jQtHW<kZ@llSJ`rcz00KSS{8
zy(=<&<~v@HIjuTC#kjuIG<VL7${qU^!>REh6)qhX?^9ItQofhoCRI{bA~kDk@zn<P
z_S?<bO*b^FeULl4;Oz#rnSiHjr|O3Lk1GQg5w*fZz>=uC`!7khXu4Lm@U<)hOTPKI
zs~!!HX!TlFGvj{U*^kXEDlQgj|Bj<9{+GqW*DtPz=ClrF6rDYjl<L)u-Z#|JnXs7q
zV?9YI_-*#)YpKJ{sohk6N9VuG<^F<^7x6v#7SWu(6Mm0NH`U)wh&Jk1eXo#n&8z!e
zBNa{mz<*F}P<Q^g{H+`5%YFNr9Iz|5k#6E0amIHYlZW4h%V#9UWyCtX$h-G3IkfyX
z?Ew`xamp;s*`s|}ZMl5-i^pKZkx;LPestPhk$CahH7op*g(8uOQ(&Pd_E2jL2FkWl
z<n*9lwVeXQgeQe8GSP~61o;u!$bH9mD42^+HZBXJF>ak{86h1Br2zf&7xM+bl(B^}
zf8VOAGi_2q9DfOGenMX>aoz-<AH%$JI~0E0H_I|>Yk>IYc2T4^zHoc*W6YU1kac44
z`?19=)KUb#N0UiG7i!)TkeNfW+INP;GF+6n5?G5;z8UPkBus-^Pts&|ix5}(NPTqP
ziZI%7aDXOi#?x;|-Bd^9A4kabV++&J)y4cnwcqmI>-5PXBXfZ_VHzBp7Vght-IALz
z%hc0UA9OlT3xN-fas-(A^u8)0?}W#QLEiH5ol2+zILzvm*O&K3(v7oU)L_CZjoyKN
zs`=?pzjiDV&ix`T*ZjWlN0BC+RR65=4#zdWa@i|t{`O}^ia%%4)SsEBibH!oRNg4I
z$hp?hSko<Rs{>$h=~u*T`tRY9M*7Bb0blMwk4}Y_v`d6vA&OGo=n&AKMt}BRpUI2G
zhAkT<UR15?&zjP|>m3yt#0>qEwIoqV?g+F7obzKc(z^ZU7mqXz08e?ycZG|u+vBhE
zNfB=cyI59&FMiUab{6)>Z+n2jpNr@)&_N?ks>A<(nMfeZ3cHKdP2k7#n)P@0OMz1t
zcjD@U3QJ*)kZXHz-p*`IZ7Tf+m|L#FS0BE(8Syc5TC%+iz@4?`9ygfRnon~Z_ngFL
zR=~Ue2}Xo0{I;gkgvnlvV;o}mcHVcIl3P{`F4+$}ellNwnOOIFvlj@d=q#9>C3uJr
z`hA3VGc@;>SF@`|L;rOuDPVC~HFe(OwFrFLO@U$<ex>MU^^QGLsLY7Sc)!PoOGd0;
z#6V4l^qqa*OID)#V=_9U3CZmou@7waKb{4*J6sn7RKm3%UlZHVy9hAEYC!$K(@fma
zG}w(h?$Mr2^{LjZrQ*$To{$#p^IX}ySd$6YLF#08S$6JX*wFd4=wATkFC7Mm4WntH
z5LxN8tBi6EmAIoXnpUFiIjp-^KVgdLNpVm=b92f3)b!|9J7I<uvZ;=Wq%rw7pYXXp
zR^UJB3KzD=ar7<-9mRGisI$JJs)#MB%m1S73mQaQo>Fx|-oB79#;bA0)*b>pC(Y6>
zT<e#1?(<ED3E6jRT~1C}Tp6<nMt=Iw(dT(>D>>phlaxQ8Rhn(Cy0eIXHBCAb)NXdv
zs&+cl*!Q%*AmNqax4WeE3qx9+W`sNXlW?}LZ0~<VY;>8x)+w+0$0;_q51W~v-;n=T
zCbD8xV)(fnvMSES)pH?Uh&x9)2OF?$B_VYWShT@+C64Lp)vj4rvqVLgI(^sr+e&`Z
zFnS}Vf&OYagFNm^n6P)2uf2qG5a4+{+2ygh#=#^2L_tQ~YPwjNk*#S2dMlBGpbsbw
zXWWTJ8IIQ~7d|s;?^j3vB+Rwmp0^5o4?GE5%^|V~a*^!bkz1J#pC?#cwR;4omvR<%
z0~Nm6*_%y$%QPEp#t)HM&<vFEaK&b27<~7<+riuZoe{L(M0I**PkOg_c?AlaPCwYq
zx7Y;~-B*r^shw@&TtalQueHY*dGdvQ2UTD-O`rGhn{XadZo&Z3*c>sMl_&l(K*0y#
z^+!ZVA?kT<PIbb4I?-6J`ACQs>6Nw}5sSN;g7>Lh#twPQYp)y&?_UyasSY-^T~76?
zy+2%bixU^9yhs-QRC+LO!lkKSoKK6b&JaMTDt539jwYmBS3v<^vHe*z?GfWqFCm~y
za_s%0rw4B|24BrIj!2HH^%!$D`4|E1eDTY@Lt>jq%PX9L`||D%jW9L)jX%-T`<R~-
ze|zu5mX#InnqQMDx+)#==aTP~->91mjbgb?zC!uiGB?fNMr)g7@e{I%OXvp*!u>98
z{tQz8Sby+8&0p{ZeEIi3A;wPabiEA{d6`iXY|c&XFCiJRx6*FjbtNz5hlXR1h9(l3
z7x^eRYFfC@-rd-AP<J+ce9!ci7gdWf7~(B9XhUYn8U#Snue)ORnzST|-OgyTF}E_@
zWoW}@%gep}C8P;No~!ir$G=-lX;M)lUOi{VFb<GkiA7d<F^8b{X!hw)V(dXsQ|ppp
zk)LSJbJr1kKZAADuIC>J6Wn*N9YKVoIeq9ojF+4Q=KxdYbo|N8BI8x#M`0cFjDwf+
zR%)y!f~$pH61B*l#DhHo36Q-te(?l_aSM6b=e?M;xZcwsghPajO>s=%-I18w6VK*|
zz(xYezJK&-8x|z?)n8GNND$ly#7t5j%BeIRT{snx%l(NBi;8~%H5T-HuxFIinVOTx
z{k#94J*Fb+L&Uq?s~^rf!vpY6WTm#9Mp(_~oJXrg&pV?|M+@&8{5^91J6ChAmHd-8
z95$wi96v<Q=x2~Dy5aCVm=)#T^K;CWNO4bQV2*-%zIpxmWuha<fxf3)LN-I@Az5Jm
z0WUA-L_N#nfrv!4>%oe0GCmi-j`Y*Q@r$}Y8l>!|-y8+Y^)(k<c|j8(fcyZ0`@>V9
zC(aT-9mf0O?!G^{B{d^kQUOSY6>-76v)j-A!$qa8<7Teu3p1~GGQ6NL1luS^x2mQR
z)SwB2qy9CED$b!{F8WgVF=;&8icNpJZ_ZV1@5^F~LCwT+tiThUT~6Wb)3&*Mg)#O>
zBI9rMb>GgfElpCuy~MT8z?pd~UX6e}E6=Jq^&&Fn-oQM*5bE5rf7ht|%2Ty5&EVp-
zwNY4rQN;o0-Fb|jrUH?<AZR&ykCyK5U>0Xau-`WDw$;XR1it__h}uor3s(VJF%&gA
z;L~a0-f^$U0x^_xqxe1sYbCGa&v@&J_CBiN1&iV6yGwFSDTdcv0*N;LK;n=wAd}5~
z+Sv#C%ImwUR=FL@mWs!9EPn@)kF>`U0!H**_mqF*s{t_(0@9PZ8U%g%45CSFTywAo
zpZFvMR|<KFnjBQc8;r=;d8cIsC-Ht)6j8p_P!9UP5kN#U!B^ZY8uc`(DSCLFq}2fZ
z^(6OW&Lff{2KVobSUPEpHzl8?c5~?*jBn@oOiTE6UEJQAdq#9kW)!o5d2OfBV5UUV
zUS4)%E2@TL5fd*1<*~oJ5hm)<8%cnHZoiFYYQ9l<9_Ulz^ngj}lUr9NG;{zTlFBt{
z)cY6ke&p(9Qqp>;h2RfE02<^>sxzVP6Vvx6cQ^Q{UN;|)+CFT(-^Ob|a~onoCDVN?
z|NmgMr>kF8RIy7%bn2G;;>aeADd&D$hck5=s6z-FFW531dZ>wyVG2W&cQ*zT531HW
zl!Gg(a>}4Zi^NqvI_=H<nq&%Fejl*Q7aj4FXz;`a)x)Y*;dl)n{afkeJoHTdBt0@-
ziOqmZOYe8OQ+RoelXAyFM|drb_#|)R9wG1T1^o5MTml#FJzjeDT#Af$_@@n_fCx!1
zTHgB-T0aePK~#pXiAfj6Q^rJV(dI@9F8$RAtuIo$^>2r0QnTd1k~yED0@>AUe|_2>
z4IIogUq?~S`~32r7AujXlfAr?=7%BbQp{(^`+MHf?!j+u<sG5r&-QKp1y;U4hsyzV
zx%A(rZVww3+-RjCQEACDu!A4|k2ijJ-ufpdmhXviZd%_BHAnGZhPof=BjBiN$-!4%
zz5O-S!axBk>UIRCyfkRmmT<!f!hZU`g>+kcd}uVe$EwWUk9$iB_d`6YrPK3SL`+N)
zi`R_`*ucp}JK=iDo{s4(OKfMUi+bJ9YcFeh{Ym57x*Ojzk&VP`@?ZYiZBe50h4w#F
z_b)mOjHg6!oV{Rz@aCy{!MQiVly~SGo+K=}&JRjO7QAA}YcWC%dQOTMkf+z|S-u!r
znl}O(Qf7!ReDO<3lZ6&EeLnu||LMbm74^FqQ)SpT{)ueQTAh~OlkWU;!(5}_oSrr}
zTRA`c=DSR2FAM9z>11xOhZR`Om?s5j!}weFoz(XmATUB_y6?G?p{Py}bPR$((kHYQ
z0o(rA+5%p~63{XP^Uep1kf-D5Z#qPgqxd=g!l`j4f(MeRdT-J&1dN?i(oD`9k-zK5
z$dy6z(!WS5Au87q`dM`)GLP@nNABiDt~b=p%V+B$^3Zdzl{I{b-*BTqrf(V_yOr}>
zRO%)-|0~uPM_}LF>#_0IuJHlvLXftDC^N(T?dK{+H^M#rn&Jzz{RT=lQE8c_&z55&
zHTFLWiuSfuayj0MAs@FH=}vt}wf~6-`TP_3{ZKjtJaK||Wt0{!T<6=;!Y<nv_}N;h
z^(uLeyL@^`?aD&&=p-d{LDANxb~T|wEMH>Yi(j@+%tTjpNMKklQx29=(v&UcPqO{G
zmm-r-@#Y~;QI|IkDtYdatIf50iI_72UxwUt<!&oiIERwO0sZQ4jq%x^qo2=91v_?-
z2^?5AM##3F9pBkqyuvsq&B=v*fA_*YoY|xA<^#H6oc!_NYU_W?HYvJKPFXhLQST+K
zb0M+z?3cIgAW#jy_{Hf#>=pPz`RT&v8|;dNvd1<-|Gn$JdLS^Xu=3sx_u9`^npT)4
zv0C<>AwJSyN^IWD{nV0fMrsas)_|bqAQ}8zuqERF3)?H9a`^P<M%2s`GdF-g3f8H$
z#-ODLswF5V3~$~hvcN2v+dAhLF0tCm799!O&y3jMH>vArnr_bmr(Q?HkeH?^2I(#?
zk7P}8BAK^JT;N1|;#Ljv7%D=6HuMl=qO}QvUDB_b_fV~1f9PucL*yyRA=y;?P1ADz
zelaZ#D))f&1W0%}DgEn7_k)G;k&*=Xd;heS2J9Qx4wp!Q1!`RcS$!sIUM$VE#fyA0
z_g=*>Wa>i()KAMqcoh0DD=<5MKG?Cr;yNPwcL63kb{!-ljKKZOk*06?D(2RcPsj!Q
z1m9r37dWstmvl%H42XmtJY~(a?K+fH3Pr2hZhWFVRVDoXx`8F3t3lE1lcMs5b;oXq
zf4@R#mnkFD_G=d9ji;aN-i>!UG$?SE!&1v*4YqJ=r^#;8%!O(kDedkztP<SMVK9F;
zWw}3iEAZyqdQ4;PuPM@nfR9yei4ZGa%<+F(3cR>o(<-Z+Y#)ri5gdR}U6l)plfrCg
z4vf$9D%I)fF4G9+Ny+OM*tJJrH1U6bPZBR)vRT=he(A)DYJK(}_Z57>Ja=hj)k^PJ
z2$V|N2X1e#q7>Z$=~bs3UHH(7SyqDIcxR;9Q<hzeC_FT3(<5ZiIb~kiFWOQ5GR@4(
z9iz8?;DCuR|I_p%r$|nNCw`P2aL3+gT%OeqJPa-)+7A#PK??3UJ4IgK<S$uBX(GrE
z-DdTj*rAFNL9XNyr4Wtb*Le}C8W=fV<5pK9<@S+Ea$uckw%#BZ&^+!O?8S67h4#1M
znnJB3obgV*K~4V%{k{06i|Mwv6KF$Wo9Q-Z!L^sG)O)>(NITM?{#lsE7m4|tsPt^^
z;E;96fL}j<KbAMre08wbFvrGQ9JgwJqgQvi_RSjNb$Chn_DlvDr;Qtl7&J*3h@e5<
zdj|i-THx)Y5Ey;R%fp#eqg3--k8ca5Bt6SZYSq+L2!_)}*A%4V$RJfg<mnNOF~^`i
zCNJcuZG8WGmkl4o=)wKytF5ri;AodDf^zXn)!}~4>Wh-*V7|u0S(^D@8SGBLTgUHG
z4mQ%h_iAN+ALi1rlJ_-@FC!AVYNyCGmB?`=o{S#$oLP;iG~z0`TKq2JIY_jSmghL#
ztbEV-^A%ND@S+n}B-j1Y=}+7Cibrn(s%w`4L$LY0T+>z5q$D(J>;weq2)c?s;AW=!
zuPs+(>>~G+6R>j}%7d(*Zt3O>b4{7Bd}9+(aPluJ6qW88R6nd<%YK>)X&t-X#+v_Z
z$QC#Bd6I}n$RZ8aGf0_1w3*i!_f79&HwY?hnrbYdj5!b(bw|+)W27$;7ysy@@EHg(
z013@IQH-)$?)wXzrbGN($)+=VRau7~7L5_Z?s@tp>GvR9-pOVPmt7_6mbN~iN$2hm
ziC_A>Uht`Yn)fvgSnuNNj7IN~qQC;M=~n+gM&Ki2?9s&rV#~G=a_R>K_sEp&@}eHw
z*p8FyLu<Z@uM{W&rS^J}Y_3`YINga(D(bGw+MwxX^W)%Bqr|c&LV|z6b6mimm<>Ps
z8yt-d0*6Dv(|rs48feBwS!TzG>PGQj&!}1fr<or6ZU-s${0(QJ(;wV!wKw7#@cxcu
z8xOu-J)hm=6nHOyCeA6pEKi5@gmAqV4w%R1LuV5dzqNI7q1uQvGB)!;ohmrb<44JT
zDBQCDR1~!M-omb*Dts~kR{25yIoyPVC4qJ>C4;SJC0N)cR{Zgq(B}_VY_)KdxwOYD
zjPLcVZ2nH;%$#4Hgj0B9V@6XjtC?}_b2Se32`oRrgVp7MrB8htUqF=znA(9jA%KD@
z@b+DmWaH{<>jszqNd^J9q97A?JHx@0I*+>&^m<kTNRQ%PEWy1?I&{Ab3mW%pd<HjE
zIe1gE|Cj*52B?RKnRMFCLRAcoGVa+r<<PeJ9fBkyN#3I)8qW@qwR+)uuOKEAi&8h-
z3_#!Yg~K%RRLD-edUj9ni6Brc2*@m&X+Tb>nizd%qnG)FB&78XZ*O9(+HDOd9_hi_
zx_$mhSNltZL03`1-_~EOqjH}^-GPT@baI2A$(h`LQC)S26f`F>9)e|F^3)aI&Yz^V
z0oT#a#^{FkcI?yCGAp(-($<N=lB!ipwpkZ{f<wQKw#!rmRaJpVYHw3aKOpO`EVRzc
z4)!u$fm6<;17=LP{3oyo@JRK$K}4e1(q#Jd^vQx!!oll<M7oU_sj@|(`+@IawjoDp
zdv0!C<nD8NrG7)-QiHb{)Hsx5Tycw(Tqm=qyI}`O-;&a>C0=B!HzoSx6D+;7x72-m
zI0Fdxzhm)T&BJ$m%g{Pb&l&mhj=ycP!#pX)u>!`;4o>Nd>elLcBt}lo1fA{(iT|B@
zJJ`2ry<Crdaet-q-gh{ozQKRcg#X3y%+~Zr{rnt@x1lV7Ze7N$W9@3_6qO}alvzT-
zD~^&~=VWwbg%#fFFN<`#_u4D2)c-Z%tjS=!<v<uYR=)eK@YDslSlas77;OM~7tip7
zv}6}Pp`KB;lv^BRhl3&<oHpJzo`ppWJzN#w{pAe*ic^MM(s*r`acGc#72Ulsaf)S4
ztkq+1Q$2<=GkrGN*)%?7tH~#O8jaS6ed|;}{*uXz5sk@HINt)Q6%tBnVmIRMHSD7*
z0%ZVL0Kx5Z_{x{(aGGt@aa0$256k<esV`fM77pZPr)8)k6~WfxrSw9MUM-j?wLfMM
z`6X>Z;N&8;G%(+sr;LFjyviC3_-peiBdVYL{>`D&)i@G2zLC$BFe-=jcqEOWN*@Y1
z=e&sVy*Vxw0H5i{zp5h8;gIrm+32t!ecX+&V}jLwDdEuhcI+RF;aCFW3fpH^y*7^U
zxpQnqFAsp9>UP)X7jfnTZTFiF(b^dzo{w6NgVIbL>RL!fphz_%U8x3?I=82{Rm!dJ
zg(l+7A-Q|Qu62th-47pp=j`bM@&vi1Zhx}TRRYf{`iech*`V}+Cfv*Fy6S{ava2g5
z^-O}vvr~gn(v1UcM6>P<((85Y4*<s1t0LSWP5X6YTd}pA4TxST=9?EhuM1DkJNDy<
z8Wm}um?Tz{o>qvwD<$}^G$&YwmCK!UlQiFp<bt0<8W&YO4^zwCfGS*(C}PT<eK^k=
ziO0}dp))ad+EZ6z6J;d0>!u3k1Jsi$hB~cACWJ<v8Gce9O@9u{psS?TBK<#2mGSG;
z@_bMEI~?+Yrk||9$y#r6bJ>&_UnfY4bIfXR1WLs1Q<B$a?gua`%=1!Um3yA-fO(n$
zZW0bMcsg;Zkd?dKr%fWT(=c>P`rfUecYRp)I1X~lz7i>@JY3u&lew$$OX<LxXGiK%
z&`?l>4_w~;owC)QbG2V{zHFW#*<Zj@(#u9?H+@}j7Ds%^NC@P~JU+#XnPy4^6kJdE
zU(v}a=^^Dt_p?mz_HRZL5|8cF02Qs^4K}UqCme84!;2$fV*j{EXk10p$q0(PIFKw(
zpPX#=@lw=r&%42qr(dr{FxEdFU?-aaDX+5Bcdi)<lAR=|_L<ca(h50*a>&*ko?AS{
z-0Hw2$F&K`3>!rT`QNOPD-oVRUjAv(KquM<)dYEVpGr_shnHN1hb5<{JC<Wk!B;W0
z4jiP7YoF<IJj>s_n~>yxs`^R)bsg@c)oQ=U?l!G1#FV(eIZ0I-DJ~(L(cR|tuESsQ
zznh9fO1|6tbMK8^7>Q3t>6K+Y=IRiMFmEcaZ{5&x9TkS+oraA*U2IN%V;~3m=a}{U
zoPRm-6VsF|v5a8oVA*G@Y0ST5eq4Wr6K+atIcFp>SklL(M-}I4jO&f>EgHfy=)dcB
z;gM)ny&A)AMEe?s&6E2VlOIrG1o@KxunaEFpp`NI=cw7+Kx=j=AsdFplm)_`_MC*F
z>j=bdb*)Cf0Dps)m1J#Fy3ws*;iKR=D8>}^fs>pUZeitKjg*T%!xNX2E-`o}b;qSp
zPqE*8Z0;j)ysKhBrXfsR*+iT&_8}f?KV$x{`4RA$egKYRTNNt_f@+YnIYtCLNGQbd
zONocktz?$7g<`|QiA~sjl4_2K8};6%3A}(j6psf*c$nW1cvt}g3Ggb5`vZz0hL|4r
zNgmYx_VNrJh=?(=X9k;7ojsTpn#qG5{?w(wBM=S`1YPuh5n!Z0Slj9Tpt4m<&~*ZF
zGO178BuxHIcNtAx?B=h0s_c1WP)=U(6R6A#6ILBnX1gxNK14FB;S)Il#sabHzZv%S
zE*0{OBDGlo&PC!cZf|7LdHwajp@;#tj2o->AcVyj`9L7uy|<b7#0c{BnxlM8c!8uq
z=`jB4DP?(HaZ;x4+qd*~TRtEUIxtSqG9~Q!%Uthr{T$C$5JMZovi3_eCHUUZoiKNm
zgLrG79x0CI(2wZ7tl{8bUf%Z(dIHrt8*!CU?n1EN%vHa7x;sY+#<LGh*FnY#fEcC!
zn#KPvO+h>yUD&5UAr^T%e2%O-zu-8VSqRB903QrN_te1iE61<G)~?+a&wEkz=nd@*
zO3bn~W;45~A2uIH=aVP7mJ$9T@Vz&mZHIKwZmXs%Kx=*+?6mmW>qWsi`XSP?{($B&
z*oXP|k;Ua7j{T&~-&~f(r}sjpyr-d%$FIMQm<&;3!rk!@$t7w0cvJ*eZ*WyHMH73!
zGX@vPYwyStQk^|A;iCMR_GZFt%2R?~r0ANeEG2`?^^KU4yz57lyEQX>J#1sv`ShwP
z>oxW*N35Z{X=OiYMXcNF7R^6HCjwPlILq;I<>W%AjdY3KdsD!h>{{3aS7%_iZ}2S3
z3v!eul;_~|)t<E20eg3aUymo5N#1QXFiUiM|3mKdgK4MI5XgqO-}GN&q|LL<C73$;
zW8EudQ|FI$V*JH#)u~ntj+CAdNZav^byLwR2JuoBAZqw~4|V?ehv5Rq!Pf<-#M*O~
zPz+R_ty|5_A}T{Rm`L~JHk!M?IDbIxnBw3AWPEBEgz}0<G>?q2Y>Wk7oN~@qu*>8h
zWH|gtVOWb5OXOTJv2U~oOg4GVgOT&UOaK(f@R}jEe=+KNrqDKi<&58Mgh%_jyQHY=
ztgY@Z^IbMO{X%`QK#ZEDGQFr)2W*0D@0Yrw!`kP;*Du7X0aAW*9(wy%U(#vuY0qv)
z&REl#;CuU&KzQOio(M_E4-M+L$Tv%8K*DY1I#QnmoqoR0Pmj6|SU+9|B%)dNvXxU&
z1dMJYw=c}?4Fi44yJxL#nAh0~g5~_|ls#-rWHp(8&_njL+1`H3g(qt)6oR#3O3wI)
z6Uz+}jMqEJAG_hQIHrjh+h|rl?gti?kF~;Af=z=+GD<lI$KwUuk-6nT%7<rjMa-*+
z2rzcaj^SS5)gm}RQOKU!X~&0nbyB=k4HDctyGeytJgpNQJ*!oz_fHpan)0n|=94`_
zBUUNqatrD6%?mF09>Pz6uiv#Kb{F_LS^`X_$BVAHp8!4t>)m0}|L<T7mZDC|K0&Gg
zh@5EdkDWvW(z^_0`z(`Hmj$@TISe=l)Wdk*WbgAY3kYXUlh&y|h%D<lkt@J&gqfkw
z8>PvhBV_3_R02%+$m^GF&aShTxRj|rPjmav(DS{(GV>ZbPo(mJ>yPP0rdsGcZ|<v3
zEvqg&SIMT6NIScZA6U`4t=xBreaMf2*}_c2#&9gvOdYaJmGK$+6&rb7a7)`je+%*h
z;J}~KoMDFbA&=z8qR0tSWNd}{cgFT@Ygqqn8S9V+4(L54H++P{ABLi{AAPfZ$(qFT
z<laz=lvVF3f3_n=Yr!$&4=Bsz@y9%Cy38T_C}nSYf#IUymJr7o@e*Yp-H0N=LDQu-
zpLr4%mh*P@NQ(tUlktKCHKGO2vA7B?BYt_3K&pt0F}?LfT{R~}!&d<D(m)5)X4?9t
zxjo^)7<oB&VdH3KC}A@)sM@nw6C)@DV90#V7|}B2vsuF6IqA`c#<CgH9A+2zjZ|Dd
znXw~#=o|dWN4g_V7F=a*s2DEpF*WpL{DJ&<?es)Hu<S1Gjn!J;LS`K(N;ujKpiy<C
zqD(j&{$T3E*wQS<EhLp0+I2!T+QWb5%G;Ru^?Ipee;iD@VRL0`4sA8K#I=-tJwoRZ
zc|mC#y_N4<TE6?P0)e&7NZQqFOZvvUw5ZmX|8-Bn!mndQ!h!!WfdiU^?Bs-adGK~Z
zjdk3#0}K;_7FJ^o5Xx2>A+ec-4@sw9r(DqJk*n-|!;f~JS<bqi+=`~4EG1$Sr3lit
z5%lE&VK-i0(v0U^Dip4->y%;GmJmuH=gyjMa1>tj!k4<WEvQ|MiFk6a+sd>l&+4;-
z0Oxjz(rAlqmAlBlJ3tgW`X~194P7GnuQEj6%hN=)o}H%mGqHu4VwLN^ynM>dIf`6*
zv8|pJD^ugpmwl23yhEe~ieY=mm!*%4z4OqeGr&4M7Qfy*OpHwKA@PocbS)cH#=v~f
zoW}6mromJATxqCZ1BWN!>SC{{%|==Qg}N49{hPfC@|y$;9pM+=yVs)|rb`K~y%s4Y
zKirC-&||{cm%2U-Z`vhvbrs8e)oQ7+B`&kneG1Sayg$~=cG4)!$Ne9hVItl5tyYuD
zckFRX<nNVNATP6Rt(L$4nc6V1AZGaR`#gU|B2IrzQ~DfOmuE9XLy))VMA+ak&W+Qi
z%LG-+-e<?gwnim^sdTW{*kcJrc)a$6v;qO#7oqE}t^$};K)zcBX&rGl5NXGPZ$)*j
z%ZIv1n$MHbRQ~sDPrMjAX~KIivL3+4`rhB{id%oyIK7xGeJUOhWE&}EYdy5}LO_CV
zpfxpdI?`hKC+N;rW1zs}396b$U5KVtZ=0VfK|wHnS&UQGF{@}HWxt%u&S7wbl1h0O
zr-YiTUCEk$a-?`rAB*j~O?!8fJZCqJtMH?tk`L4vCF_s4K{{}IQ|M=aOdt_%9sP0_
zEk^_a$<xHXYTh<GUqoQT6Gj~BU;1fu&Zn~-Rw`FQg-w0auH^;iFrTim$-?H#HkdKO
z>IV-jt-satm7R}+2omGU3mr$~;_s()0wyzx0*&lO$%>C#QyI91G(Nk#t+b%ObK$KD
zDu5^n<TVpK6dP<ux^9XHpF29X$|t!i5UP8oUKf5LFCkA;3tZ-fZx*yMTGbgCHz?Af
z%qXT;B=&?|F3(3Q`PDuyb89YrlCRpb&uCoLL?oOq=Fk3od&@}a)yi&9?NOyrK0vX%
z=z>xIO$SwnSYlS%BM>_&SJA555euQ{z}xSxZVCL2wQzM-iY9wvz1nm^XmL1wjA2ik
z<jEf^Rl5pI{@(Ux8Txnyx-11d4GsoV59-$>ss$~zpeqpYF#q3{q`z%2b<)f(W)ljh
z#Ailogqu2rc<#9%76D=aJxGAxkiS&$Sq6aAmdxiAeast9zkO{_Q$@|fMJzor20_?3
zyxB5va91UEYV#zofWvkuk+hl?4#vXaRS|%z9HJ>}s`XV%UjkW}54*}x>y4p>K3~TI
zlA$>!%rTnlOYHZ_FMxdCch*cnm?A)%^Z2rA(~rSBGkj1G6f~cEUv0_z`{(`|PQ#w~
znDS?<K6K4(xi*xI>is*JGGjm=_}^f;v}axhW5aoi(VNDV0lR{Z>3X$Ai+nbP_k~<P
z!aJIvGxv>6Ec-|+pBQwcmPAiS2q3Q+;h{u_DeFwe6#go2(8)e9QSm3cBmRwK7uwg-
zxy^!yqNF?q_s<nayDr$0&c6tohpE0q97d;_RE;|AuG&7!&sG21lh{4o$7=s>m+y}c
zJK8l=z0DJ;KpD-ZVLQuQVvEHgFjzm6c!mrT*|N*{j(@o+cu?fD(l3D&`RR$_mDvkB
zDjpZBqj8>(l&TGS5(WxzIQ}$<ObPyAo$&GZE6M&yn-yx%ACJ$tc!jQcYzUN>!BX;?
zD}8sA&mfWib-!5zn)8^;ZHPM!D<4VwM=e=FV4I}#2p%te{T#o`FAWZsZ}ee2v^9E3
zxg_a@Wc7a}{@HQ<DNN1NKu0$BuC}4WQ#e|X1q-rp!b4pV{p-%gE8s+>CI85v*UiiM
zIEn^^Skc+2YOgCO1{6Qgb;L>OxHYB$Rptw>P4@6nMkb%<TmsJ<hyOiD5Z==3@EGO0
zA5gMxeA=V%xWhn3mE=jJ%gjMWS>&mVPv94EpPZ-!^Ez_d1z<~r*UbYJN0wZC4hbAM
zz(?oRzAhpd)n@LR4HXN71v()=A4h;!l(9$0rCK{6Q$F(-cDbNA=$o{oPhURZ&xt&B
z3xcZp@4)8bc$`y8&f+6d%ULElq++UZJ49Xx8s8|VGm;xRw#cgTgqcu9QN>77-}Ba^
zC7*E*oo-&JqdKSLRsvNASW(<sRWJneEzSpq&b}E><lpDi#%i%vpy$i<Mo0>T8I;FS
z8(iOTjwlOT&{5K-Z4!QH6JdI+bYqqV!w9V2Fp?Y}UK!?`NO&ci&rU19^mR~hcq(y~
zjW$zAjRQVgwq5PfsWy7H^Q`nAi_3>6LI#&Gv<dNlIIt9hs*C(9=O4CpYQMY9h~ZN1
zkp(c({l$O<YgeZ1REow)<9iB{li5;{n;$H^>wxO*p;bQ+bD20yw|ZifWK<*!t}>+H
zG4%r(I`wGp$Me~rY%X+Kg!_b%y1RbFkC0rpy_SbNm_~tmnw;|xpyBB1fB(3n>2Wap
z9T0nh3y5O)3kVsfOb$FseHzjFQbXg<epn{Bf};3O$%e;A?(y+uJ))a(3bDeZLf-xV
zi24e*D7)?L7Zs6ikXBL}fgz-&q`OPHyM_=X9Hf!%kd&0J0hFP;LttQFq+<Z-`X0~k
zyyv?v{s71Q?6ub&>s~2BW(;qt2okW5Ki0c$0a<saSN;sTl=DsxIuC6BnO^55=@s_q
zba%mFK7~|u@{GFO+x#6^xzGx~n2>^ZG#($Oqk^<_l0*SxM#=FZFnKDBT=5>|+kUQ?
z<T+g=dIElHXnc1V5@g=p@_s?(u0CI+im2pWE0Fq9v>99+oPpA!!)k1fa=J|SP1N=p
z@6XNAjl!Ny1RN4xjo<s{WGA!upuYi+?4$RavVrH;&U{<`gQ|re!ZhOKl+Sm=@h#vK
zSLg!)w~E{Gh>^YOiQo>jHxg<4scqFwj~uARwbBw8P=FY_Oi5_n?sizUXWz)FG9mWV
z$K;>(ef8yRJZIqrJ}Zd`!R!$a)d**%`?P=esT8PVR0>TMD<u~)l3$|ZI@{Es{ZeWl
z`r^&f+B<P0$DTKv(2nmh-=~2Ij6D<@^aEQq{ti9Rw9SuA6fxNO$i1foIzaf&M{C~q
z)rU^jF^Qt74;-tfrgpqu;ulS`_5fOWM9^)#sFB3Am1vU2L~QjgIzTL}#9BHVl^E=c
z-=6cA_M-(Wp1$y-duDrHM;<@W_DfZp<oCSfQSrWp_5R2p4o!Lp<c)eS&Wkm+lW<OC
zx@gtf?^o!hI&YWi#L32Pt-D3)d2#QTNz<413_i^RF-nhHslD)A2k)>>H~||SamI-T
z;EcNvBK$8P74s5+176!wlG_<Jm#A!cwg%JriJs6oo~|sS?N7(JGGa=8fQ40(lhKxn
z(YTC(c{88!qU*Fv1h_Il9K#L|-pj7DHy;P8><GA8(ZwM`9^@95xuLJeu*=-1eYaYH
z<g4=Si6=YB`rx3IpEhUAw~tvAzkdyaiM;potT53kBXr|`>k%hrX5v$D&nCRO`K=c)
zO#l;#z-(`Beuk8}(6f1y0#N2DwMpt)Y^9&HV<qz+4e2(K>aHHC|3=3asFyKtdtght
zP(PowHoM>W^~;Wj6_{LTlhhUw^f+y8lVsW~V?-VUS1^v+BMY!Z=VjJ3@0kfp3tZ&-
z$X`srjPCX2#BJLiK~QsNVh!j3`I>>Eyn8<n1Rn8pXKC~@#P15?K0P_&+HGC}&WJf2
z6@(4glZOAm1$$5~*(kEr_77h}13Ifk)l8-YP>d}<dG7`a(;5xb%fd)HG{Yi*x#!I?
zC6AQA=eZRmU_BPrhDJUYr9Z;mR2d%qKw_DN_fusgjh#5(QG+(h4tX`g<`+9koOx2E
zzx)N5LjR96FM$ApfH`&glu}4b2QGh)mlq5eTo;90@G%jvnm7a;<|LkA0rOlb^nhZL
z{!eF6U?k4&=OGIH#}6AoiNmrJB9&<@>kS(dKYv7KNm>-yVs1Qn!6b`Yo;4Zt*3I)5
zA@7$C#q$G^n|6KIpRIL>XD&w4LC<^rnUR&3YO80wS)5tlq_*(d*J0lW)Hv^7pDC_N
zsh0CxC~6tz69K}we>EVdFs$2!1Cj>vi^Y!<2ozJ~{NGU`AnQni1pVhnfo$Yc6+u43
zNz+jc%mEemYD2d#9&nE0S4zw+%U&JR%R4yFO{D6hy+L7e9_{k{G*M^5(wl=kqHi8E
z%TK(asXN4n-z{K!b7WPaX_=3b%7OVvyY>3a9^}AX->@^wnzqizwt^bo#5N>h3c%;j
zc6h}vMXY+My>}M&U-1i*$3kRtyeF+pCk_-8PlM`L?)ut)`SGI;x#25gJ^`$7Cbjcc
zj0iCe;zKiF#mq*KK=Gn9-0!*R2F1b6Khj_|Z8tS-(=m;1R+ou8@#lPAJ$k+Q>KM!d
zl4x9=Sz~5iT|m-^1jvj9qjc@w*~}^`Zn|+2cMW<tz%mN3Ln7&(3|eqhk!$bC6zYvU
z*NE=N5J4qVr_8(;YC-ujv-J)PHH(1JRV_jA9{Dm9x~dH3T&kd??hROe#(jl7JMO4Z
zRcw~dGfuUgw1F>|`*<nk^cC`V2ft5fh_Cru!3W_1swzLSH4TaWrbep`pb$2&Ar`Oe
z-llx7ZfANICP^Ih2neNox#<~BQ11P%5w|9wP|M;c9*~GL(hB+tn4F5+*sV5nBi<nB
zE)%fMx1KIGSI>g3M^YoQ->B+EqgUzOeIFP5$w|(KqV<p1NsUk;W|r3mLOQOV$LtqV
z*l86!w55I15WE-l^Mb@Whh2<;Qm6Pgr;HodH1}p7HGY@WNvudrFv7V4(q<zN+b*{?
z7nVhQW0L>#wW<ej`p8o+go{{bQX&n0{pqOh;B;x1I@A){O$;pF4%9M8Ef-QUOfDoa
z@uT0%^_QRtO)X(?%D@XT8KC*hYvwz!j%jH8dS>t0(s>q2l`Bh5BF1XyeY#W0+jLIy
zIIw(4DA`}>(9a0sVwTlDfTvvbbpu`my@ub&y$PC^St^)t0?e#y;TO*-!Og_*kc`?_
zFmHT3Ke@&8!)LBDTYD5AwrB#2KKKDQzHa@*{?o_oRh#>C3u15~;yj{F`qP`3Uly_A
z&l}I3pkakXcMD#e@~kcA%7f3i|5+YL7PQDRxa+1i1tQ(rche1WvLhFcpp`a+qcYtX
zz5~D%DSBw8xjJ_bh=mU!26Vg~X8=zr<^pUfla#0_o*jF_-X?=zu32OZ@dfOPRAeeK
zsKi*c6iJ9IOnyK_5G^51T&=ob<eBmqC$d{`d$%-$G*TP@qV36o0#VO8W1J>5zE56{
z8qCl3{WUyBVJFjnJzhk}1pk7u^*I~xrU%177yVuZQF*0gUA%Wh-qQV{HTWWpIQ5cY
zobh?*(qFrTg!`I||Fj>@g1~=Zd<2Ol7r66(8h$3*s<8TTXk!LDbgG`?#7YqxJ8*Oe
zqCO^55SVvtVz~;v>=SN^M)^GcU;A_rk?zUanNFuGGmX|6g6kUJn6%`>0OXzNDSD)I
z12TLa>9R5tICLm?sEv8G^^q=?XH`-q9Tktp9@pAR%ee0<rt6Po`=dd16fg48*KD?G
zF}o#Fgh~|Ib_kH!usO%{{rJ(Y36CPJ-Xw)H&v9%aQO2FzQ$HYor4Rk_fAs5@P#|b-
z0*Flv&<C4c&jJCy0<n6(7O!g*U4m2;3Jl+>x)i9Gg@c?I7V&{~>0zWsCTpv1;ey%a
zW>kZ-seWK1NUr*K$Fr&hAjxS#60TOtuk~F?3WY@0eJXsVs)worB16n5O~=(GmA6hG
z!Ot{+#!YbWS&h41f^S5)AS>DTgTMJ5NEOw;jW2C*h6`ctjyG<x#$#@6>#47R@$Fjp
zofcZm&5ke>XQ!_J6(VPP$A*PA&L@y%%ewqY0z*03*xhRtv{;7!09A5}s~?i11L$6(
zy>mP0&Bp9me5ta|otiRUz$A;BR{3@DYee2T&#;1fQQBzK2j1iCWm?lpPD>Vo^R6Fl
z7|39R`uzA(zu}jg&>wG}!!mwUW8;~zM4uft`M`q;%#VkGamB^VIwjoSSNs>1k~*5p
z{s$??^NX|J7T}(DOl%?Ua2Q_CzY}S%w27itk|&pN&D^HRb2uIg@|yY_%{d3agj{LQ
zPVXnwfebO5S1-}(Zfl(e#E|(s<V0CNryPAC9CXJn0}ZR;!0Z9&LR_&F*#7vE<HOhV
zKSsW@=)iTjuw<Er=HJXt<*>1<RuGja__1oj0ZwM}h-(MfC5(CWlNi38Zjw5?PszMW
z<8?FyYo|H!m*bKsy9G!=a;j=~?a*I`O{g}(x_iQX+Fd--U4rPgw=O<*K=VwO`4bip
zjH*o=oi)jc@dJ1L<7bdq@9TY1jBtM1+b--OF3**2EHF~3Z<pwq{Flc7goK)e3;jiK
z{Ov0^H;J&4;Yp^Q`suomU&)D%Nx5+X{YI(ou@Kwj!pQT0kf6c*tUD`Nt8@%1ZuWq8
zy}Y&mgr{wv54UMk9F=bFA*)<E%J3>h-i^k4zSEGGbb3=BjO|f2;M3~~YK<|qYg5EK
z3yl42d_;7QiC?3ypiExS3izGc^vw+O+580VdF#;TX7nFnKD(`o@b4Ya^(x~^*gGqm
z7La^g7DhFO%Cy{3+hV`t25=M*{Q`uj)qF8_c=eaJ!V_q7k_)VmUa{V@vL8p<77l=i
zi6hoxcKe(sBOg-!cd9d!L`I*eVx-^`hF-sSPo6FpNMhR!1ICNpTJN7#v2EeYt6!Ef
zLJbG)e@Tz&x}~^MvOq24@`Znaij(|k%<aCmNvy~Nfpj7?b?_kF93V@7*2Fmp?X-Fm
z#Vq@93V6Pg;fb-<Vde^sCj5X?6Yv=fx-iD4QC8Q^r*Gk=`W+O!fZjy;;*%rp$e>w_
z;pCk~p5Vo&o+l@rxu|o0$ZEeR6v$#()gimP8T$<caTF3k>wPh{W2z=H+2ILN0Qg3h
zSzbkic;m;&s$&l5oHZye9PL_8q=wAkvnS<_*O{pO>D2{%j1Px2C(Nx6c^#)H2e!Ry
z6y4=$S<RosfB5Dy2&d2pMT%C{b$&b|BUy@hr0eh&i>aU}lu;53t^a~4<mz!}{W#_q
zR{E(#o`5P_Ym;uK9=DE*<<soDCH}7l_bo1zrsh`ue%XP(nLZ~fY_Nd$j7MX*N2{j_
z=lv+=Fyx9FtX+1nJ<l4-AYSOMi{CXbVwJ&{5G^E(neauwO%d30SLv^b5$nJ8$EIdb
zNM6n*RRxEe3j1e%FFBB8FP)Zzn}RG>olD*FoWcl;fBWUz1f2^%^xcrf!}LdIlW_{0
zYb-B<3?pr`zKtOV5m!k`mnYFo&6s;GBZ@_41|oijta(YTp@jsejSjY}7CE`07}lSV
z{^2M7nFc-PX4Llcz6n%FC?$n(86Z*RWpO1;QVOS?yjPUbU0QTH`7^ml<hJZ4jaGqY
zfey`&v7d&6h4?C~4Lpx}v*Zb$Nd5gouHv-b=)3mr#rT5gmk`gKlBkj-8Jo7f&Zm)L
zcO8F!K^$aU0c%e&+Cj-v=c`i+j}g1BgyZwu{JbdA({2VUAq=M*br^e_0l<>jd}E?;
zIL?7%v^#={^=IpvA--tznda++w79U-lJ+~A9V~M>&|V+A!(Q;S0RK@2aahpI_k4sb
z>}HD+-aOXXf@E4k9$QWKx`Lobr5I*4uFaIWcV@F0470s~jYaQRyq`pnf32l88bMh&
zQPz!r4_8<)J)79kQV>Xi`s=waFV#KS9L23kBD+$JsDjm(hyn{MIY)J+)K3Bb5B~5*
zwY6RMa9t*if-Wo?;@c0oc#(X}T!2^^=QU;XDUg}xb$qcjDs~b7J<tYN6vhd*JpxUB
zi1GBw=DX<CNa(e_7p2bRn=FXl>AiI1EmP9M@-uwhCHH2N%J7NQ2F_Q6tY*?>9rDsg
zX!ls&nAG?8Rra4!sx3q<VtK#xc%q!)xolRGN;ms!Q0sGd?5r{J?V-Ik!+|YK(&^gx
z71Cw(-7J(Klvtk#G+l>u!;%r36K1%&xc{Nx_vY0MCsM!O1hZ->CEM<m<4)@aUi_rm
zKgK+cn^a~3<Ko$|c_U`s8SVzGp)a2O=dT@m+3OZftaUD}s_urc%;j`iSAK6iLB4<g
zs0rixJg-`3(@`n9<z%DLHn>b=nDGc7R7Z96t8a7k*afN;J=Y-som+bsr#a#P=9^ic
zpVM2)c~FkZ82`WrJyuXva^m&01CM#s-8;3_F)F=$Q%*2sNV<uR9c^bb9d8GoL>-nQ
ztY_O@sXM#^P_Y$9@4Sx%9KeHk`{<<Hu0eVx#_C3WHLRq9CRXf53xRmZo8rqqB#BWy
z(fumZ9q4Tyxw^{LMWQKSOKUDf1qfQ}0yST{3yI^1{oL!AFrV?vP&At3fPy#Mk|T~K
z1+gM?Qj&mJDbC+?ZdjLvWl=(W>opSQdjvQdrVo#=Pxw>Ps~d?G4J+0#>;-Xoa~F#+
zkIW#_wV!SBitkr)3bD{?&Yetwg&oqu*?#x7@p|x=@1ox3{IYGG6N967s0(A7gmW+m
zmPfN|O^Aa+A--APe@05|ZfE%ed#kYcry~7`m1s*uTEbqByTk`)eErV2yGD7_+!8ze
zIE_xK-XsB7ToIXB&qBp!Uuq)s;|V8uUKZVrxJt;rX>C0S^(XJhW~ov}u=5duZoGk`
ziwW`I_J23@i4-2u1f@+cp-t_`-kpU$9o!A6Mq{O~Pwba{$M1b=!d|4fyM3T$f*#L4
ztf5e+(@p1{NabqSPu^dKTsakongCPApedYRltR*+v}Vs~%%0yb&Ag(7cUk1nQRIXP
zk7(rezNPJeAU+{Va&M4H%1PL~$@Jazh_qDUF!M3~HxUp)bR5^)QalL4+Pi(^wA1_T
z$cg!tAQjv<9})ncAm?Z`@GdLA1Y0r*JI?yTjgKPG{ZfAFt7u`3tH1pAEbIDIo<{6^
zKG4}u!`Z$`H?U;q#OqQGk`}lFZ@}kXS>44{OJ1oSiUFw;==cKWQh9_?w61R79$tI_
zP#UsO?s&kzHs0+;M23q5zo>ZmD@dS?tb3*=xZ>gE{u<~bdWpL0O>ano-`EI5+N#Im
z>OKERrj@hK4i;i?FAdA9_$-H0{YSLk8^)A^ij!@z9e-oD7rTU@oDENF36lzrnbaJI
zSEY~Q(6`nnJ5_Eg_NRT!z+dU}4vO(;Ofc}&xMcIcX}OJ}M>8hPqkai8lC~^1Jk6Tc
z|J-&<puQQ|aWJcJUE>DK3CWI<o7;pj^W;@Z3}+sk0D&RGgDL%OTzjr90#E-_Z=Xmd
zJpP9x!t}@wi4!~L3%dJ}Iq8<T;Y|vB@CjiK$B}!sOQZ1xFJ0YmqWr=b@E*QDE|HWU
zOe6k@VD0)eX4}01{)cuj*XLoI+*UjcmL!E8G8PzDJE(TD;oN~=@VMq_4030W)bf7P
z{ULo+0&0|$7dh2_!?SdiHmF?hIv`ZR(%fLLXbxOilb4B&Y;u8e(c>}xf>&pU)g-8M
z<_I`CA2wdIAfOfZA$Aj65G(oaf_%^#%v{r7eR>Za(98DSb<s}=<Ad<HJ2L&#N+tOC
zYxHM8B?hD9ukmu5{wNO@i#E2Lgj`qrZVMKK9)6z{wH?t=@X*Qk9R$@5UoUO7tw_`Z
z-l+C<zt?4c#IT#@YT_jUsKV>9#i2w2f&G`T#NbE-%`slq=2Q8=eD`tj^?~R6W#x>(
z=G&mEn3Rh?&CHIcC&Ae`P6AZeqZuQfFe|ktqr6fH71lT9M4R?ZfhK;<2k0UP-_O|r
z74YSNz%zN1kg|wRvD4UP8}K#QBNO0ZO~_LBAeWB!6v18T4GUDt+af0lLl6t7UL3db
zhPt<<1r{N+2gu_3<)?{`Sh1?gn5gz-8@~&@_vV$!Ig40j$u-Kw%;Iv!u@cwC2$4Vz
z)8}a4Ic_AB3i=FxgpmJx*fT8OH_eMXLnNs0%NVH7l%L9h#`g?T3H?Of4+5Jsv%h^w
z=+C3%?w|}-V3FuAA(Jm9lh2oR1-!;|InP2H8Zj&q4vs&f^B*#w=1C39{20OEzABzU
z#m)GvjA%#J>r6ykXhw`RNt*h3kq;Z)i$T&9;MaOpzzJt&dvB1Q3*9U>FjAWGL%-R9
z0q6S60}xAiSA9Klp*K!qr-<#PX={h%uICTlN%-{Q=5bbG^&a%+)=-qI@d$!3bG7<I
zJ))SjGq%QXpqNMRaZX@xC8sy!!QkjCu-*x#^i&|g0G8!t4b7s02dm-M^xD#%@5Xli
zyco;H@jKQ?;ZZS2EFqcgY_-06A46rz_u)%T+$W1(sOdH=U>p@5yPc1t!g+=2`Zl5H
zBul*aBlHEUJamh7x}`H-tCT8#;>2qD>aBA|*_DOUooVHw7tvfQGdb1Sq5me&$~{a)
zmHcdFbYJVNru)&6_6{wT&FcY2E(x7Bgnrd)EC2c#-jjFtoL0|KKTs&`jjKn$9HK<;
zrveGbQmK=V?~Tpi3yU&+FZUBp<$0EA|2?nAk9(-UWR*x-MXkL4Il7iP%rou#yFef>
z>BOt<QS2X?yH=dyS0<c;8d2<r-`e}lRO&XNA?EYz>7%Y5PvrMQ5Xb1JR-fOj{`mel
zyT;lRCPGSiZwynKPFFhm#yj&G7I1e)qx<7#E0dfbYLtnz8sE14lM$7u+=?oDn@|mq
zDw-1evzEBrlyDLdbRv9y_F-tY)E`X+?AK_E?e&{!lw6-c%1!K$y9LgNEp<*jw=dqX
z+cxu))cv<@CYOz4udhE{U<JZkWAJ7;7RV?{PpBes3~oPW>WGF2M&cgvP{NU~q3v9L
zT|xuLl<7Zox?0?|nM5m#a(K(pk)h(eR7$Q*Ba{odW>k0v`nvVUj~gyJt{b>iSVjHr
z-hR>bY0{y!5*9_io=g8nN)x~7c|5bC)W*!x(cz?v)bCG#xX$dg4SV627?`FAe04_F
z?xS}X%2c*?MG0YeP?M&yi70jg@6sOiMY`Ck1;(R{+~XfA(;!Y4xAqE@nj2@_Y=;xq
zl)`CaG4hgiBIVv|Bd~zX0eqFczjb{Q5Jm%!7iclauZmb?n~?1JBv0~huY>WChm=0g
z)o1S2pX!7_`^+7QCEd~KsDfNQhBtHisRgN4>`cOnh+@2zH4HJC*Aa51x3wN7^6#A-
z%zF;$8f#btg8hC?6XiWLTp_;PuC)Yn$m14FEGoJ~6j4*>l$)|)?KWUyp{3S&tsJxL
z@oYgIv2VlbQPaTQjn-#FU>dPhnsHB{{exvahwbhA9Ze?1t}jI$mD>}WR#$dbM5<`^
zio|08&{%=so^+d7Z#l5wGyC{-lm}>?ypX$V7DWURy`yk=8ErQ<_pV*;jn)8)S@DE6
zSr>{ifnttCuGH|Fb}TwlX48&LD^BUGKfFShC+#k`jV%<9ww`-`ElOq)pUN$W0A<>Y
zmiQU=iC}N!(e1HMC3jl_A5LQ(fIr9z&wp?8ABab;fWK&?>&nTNhB{V%nq>vfMv{ed
zT~Tc=k3leZOQfNI6oWq^w&mx$>R%VvqtwsW1y7E7O;0H1d`(y^ZGKio-<Mgkt}7H!
zn(DSu4O18HO{M8s<a~-fG#x#?ev22n2b^BN<9M!9<qO+^M<&8*EW{wQ{U)EfX-m=V
ztdzUAqCzG74FA`oKJ$3-UbY?iv>)FYDvBWWMFsnK?2*LzhgSBh%&dsPnV^2Gd10X1
zD?=%B6F;C}Rufs5fBO5oJ!>DCmRoS*{rW06XYV_mp?1zNgLs>WK;EL({=A16;(P#;
z0&vCc2cINECTB37gB<L}8PeQ8nN&?+GgQ#{+ON{j8`}}wrE^qLhB!F>L&pQV32N(F
z!ju|~sLl;xh7J)0sqC;j+PZ~Jt)wePytu)6f?4g4)v*33mfr{?sHy+{+~}-Y#L0QT
zGo?5+fo@y_J7^+BC4$9x*bc0vcA|R88DP+t1yF@a=Hp#MsJCb}uG^{)h5W4qZ&Om3
zC=`#CmK>Aj-)Hcpf4C;ha}Pt@txFDw+6s(jMg%@BL!42X#dMX_FptcC1{;2JhLae3
za@^xPOgw71VGJ#zk0$heKRdS0y$b+{(M^2siC0aZ*+Hro=!FyPb9BXtX<Rn%E~!+5
z7I-eX!w`#VKuH}>)aw5L`|vAh{vckpmaJI;?<#^rF8jEd(v^Q%@a)<n0#cfkP*|*P
z<WqipI|xzSZWvBE0eu~&SvJ~J%CyAy8$-<MKNm7lCCIyQLlA!YFVYx5`^cGXLs5#1
zi(J8~9i)GVN>Zh+-L?TF&QmR1(m+++0R=2aD~UNhD^?i_2LwKdpj1@U)#5Zmd*E%D
zNx+Y~tNpUDpfn28^d#fwK@NUj3dn2$EU9QGVuvd!!`JY~<hdNIJ$6Us1ZoZEe<SFH
zDBv=Ac^yx^o;f&L6J%2=HToBEFqh*WvFn*-AqES|*N-ZKLS%2Udq}Alg%n8jI$C(?
z7H#bszc?;CzM4oOs^kA^96Qm-e|*3?N{qxx2Y7M40S#<Q(-jEIB&x(l*YhooEAKma
z*K@d73RHn~#_5D|#B_SFFG{&}8z|NVMDLcgVfD=FZKv<SgW__omFe^Ae6G9%^sAsT
zjoCdulYk{Txq$}3kUv&;i!W$?Ogqx)9?`SLX03oJOK%3mY`*B~>a&c_D(tnpR__Vh
zvB)&LzlNnQJRchot&!LT^IVpFW*1vg7r(JjoKq25pW+)dAN5%Tpe1Hyi`inEV&?d<
zqvE%5P6>nHLwys2FRCNcQKt@8%Qd)2eTxUwr!t0T*pJto1|7imynHjKZxt>nb0rA>
ziz<YlJ(;rzk(FYTS!4E}{dwp=kfby@zQPI9nBPCL#DAKXU5znrl>ddchI?y=F~h+e
z*u-}2-}@Mr^ex|+mj`RMU47&xrJF1hiBsIJyr%lJa(=a`q(a63OQS?F@URmiDopr2
zQLmo!J?_zbso;b7;9zd;2t_c}p|W0rMA9o2t^xJvJ+sEYHM8B<-&YOyNJK4f*P8E2
z%9N9Y;j<A}@A&)UL&Mr6DoRtU)nj=YX}aryFA4**pMl(S0s2f4d9ws;M<8BaiZ+EQ
z>@Z}<`qjS5OMt`~0w*n@n7t{Ef+*ou>>D3MrxYMYR?D(|4OSbf57NUJ3`Jbh6h~&k
zR?~=y1oybO&zs7Lx>p*X)_TsA(A%cks#AN*a=e*wd)Ow4g3qNBoF(zrigol=1Ao`X
zji=<ehyryxc&!KdhsrqYM*V?JNN97DtajbQu?HJ06@QPwlUdo{yxVNo^$<~e%4QWl
zB7Pp;HOqPL8LAEuz3Mq>KyH2tR5dK)-0(~^b20un*8N7k!>X{eVvv;Dyq=;#sU{+q
z5kZ<tpWAZsRF^uMa4w$>B#!nk986I8*tRmOkH)PeW)T%WMyXQEeV11n|DJ7-mXhg0
z9ofg$Rg%4IPU9$)S3qXN&Sc;)xYJk9?YvTnf3ztzx^Gl@$CY#55OdRCEk0Ar49#G3
zKNvRRQQD!ae~K`&12?;XH!RYM`SHgM<hGRSbY<J#CRcL^mlI?=l_@8~W&aW<@*ltm
z+W_?Da(ojp=`m5@g3r$qiG)?PE@sbeoi0(T`ZL^MiQFDi9RiI>7r)7vRx~@Eoyn>T
z*t-j~S@!-+8!zWak(%K=9dOmYBg9Zu!0qK7YxJa;4Q1Hn+hKE$t4<c>TL<9>L_j1y
zB0!qsBKxyhAN+r1Tqs$-#C~pClOdXj?Vn1N?4Bzp#}&9TH~({X(5<KS`y1Ip$CY$Y
zRM9K9mD{|I`QyyeBoYT}iMb>rrNs|-mOg5VecmJeh|G=yw8tA|H+S2vfz=#&#3Is#
zXokczMJ{43sXSd2@riNcZ@+sO4p^1o7A<^LDX|0aMFSOWw#%#GiZ35WW{0A(1~?@R
zLaLL;6@sd{gLy7L-%byV-EYfuOL+e8tQc8L=>;2w49^nSk!!lqrJQ1OZURP3R-=CG
zhpYkAVk4)j=<>|BsS0g`Sty)X<tGsbXv0<n%q%RomLv-YJ&m4~K*XEklndC-=(#oD
z*SR%8l>p{mC);j@OiPaRZ@V-ObpDyF<V107QS~HWm%?Z^g->7Q*iavLi!*dCJS9WX
z;&d#fQ4@|TZ}P(1F;+#c-!Ji@<`#oxxP**Nro^retJ)txKNs84VM|KqqS{QC5`OM+
zhCN$WAGB&-dcK%sk$ZwU#j5BL3B9Y1H6|Me4s-VN@A$ovwEiv*&#GKhk5@V~PXvoi
zDs#>-!KAUiXDT&(B0`T9y5c!c)0Fr@;5AhFq>ZdUap;s52iC5Xc;P7sAN;XB$9SYF
z=GqMqt`U-h@4>zrCv|BS)~%>*z9f0xWPgd-v}%HqZ$O(9%3u7wpj{a5eUa5CD{aa*
zY%4HMafB!Kk~@WodvL2LP?h(>9;*j~l>WUmj~$7E|9ZveLBiptj7e<ymom*ozv(F^
zbL`um;p$Kgedvm3xy3DIb9}G5Xcvxd%q_RvJ4!y#zl1uWbhMzF|Bb0&Z{s+yap0A)
z_38Ba=sNRwe^SrD>3Q#$tPbDc>Y6osrGiy1jsSo)7y=tpbd~(E`mp%n!wrB4?Ml#w
zOU@bZ)jt0BS$vkbTxm;JyKWY5ZnL(_P@OM_L#V)Z{H^a4xN{J>%wm$VVCR`}oQ21*
zrU{gcn^zQ&NB4=_v0Dk(wK8U&*EalzZKIGhE4^2|@0YyLor#GB{r5uNxJTkM-<`}A
zJqLJQg%{N^tCH+>Pu1qxRO;UcJ@D#9LdbEC;1qD*>JagZH6vR(&R!bes6Ax3z#H4v
zkPCo{tAJeOl-B4xTu!7UO3&H?^wnF{^&9?ADKzgAf0VEzGRxSlK~TYfLsw0hNC!?l
zpVCIc4{C@{$F%tpz@r+cywZE@PS(m6GU)hGPk*@*;yXY5m+;F$tTb2J@I!C3`i5r?
zK93I=?it$PE=M!(`Y7=xuX|Y!iu4B%JC5CqZqQ>>-KKAj>gCN9SICssn5^ws{dV^F
zrAXAn#mBIqNTh(-y;l{y;9%ZjQQb<WM_uD&f^KN{b*OY0LWd`+dTFF$qJQR?P}0H|
zva}H>EjNs;r^(^_B7xRW65BS<03~wU)vsA<<a_bjDHh5;-?v6{a=u(p+m<$pbe@*9
zd37kh0`C0G9x-K7r4K&UY;NTHE}(KRTk!19!kN5%Jn$p_+n|QNFk{Hwr8e~rw~IOL
zrpq0hB=0U!l5i`QHMTcbp{S|mkmelG#txoHSpiSK*{xrgXA!pS1@gL*S9u#vGlp?o
z=NBrRiW#+-#x#`xcCPjxWzzfBkH8rTsyQVtT_LVsp4c5{xZ;ZrX(wCh_EN&csCK@d
zCOzdlZ6e`^+JP@-Pyme2K-_un&jM`?g9lo)UC>?Yw9EJ=2pW|p7_Xg1GN+qRui}>_
z8YK5NAskjxV^E9JO0xN_SdBwX5Cok$n8F=jZ@DRSwwd(#t)LQTm|R7&RmPYoqE`wd
z9<yHhGldL#3MvGi;%Lalp5@CLdndS^!9NuuydqYa(^*@%VbfuvRr~;)FD58vmDS5L
zV^{@^X9&`X+->N8##tH|=;w8vyoq6{&Qa6Cil0q6ZmA0h!=JzV?AZ|s&<~90AJM2r
zjZDqbG03JaRwJj+Qjo!;->A0y-WVvHetO>%W+Kp}BD8BRTenwbW0EE!bn?^maN_&5
zu0+*tG4>P@@ki+(5kD4eLJ<+7b<4{i{)(pyx9TQ(N(FMt(&^T+XLTE~q@N583Yse4
zv9mi?1%W1M%$6uV3)xW!L7AQ8i5^%a|EqXBQSi`TrS{<Kol07xAp1t*y-F46_7&}I
z(tycAWE+-;Rx0pn+RFexrCs6=$q+b<A#QCTdDQ|Ncj@szp6$dz>0hBM^J6%!5KTs?
zmh5@+Q~3$hVJPB^sy}cdVSb;AJ~;Ysho}f_FBv>!i?CGz22`w9P!@kdeTS-j&|XY2
z|0-Qz_cf{ymwRvFCWX>e?;&F;3Z~QBPdRqnFtsG+OI~~RB2hVEn4T`m+Dh0#BUf(D
zGPolWNQ4;HMM0xC_(vAsbn;|Z5FyLZTOIy#s=@h>bMe)LU>kf&X7~=O|53ACqX4x3
z1v)qv<vY(<GcLN$_u~bYKn(Ly{-B^&z?ylcaY6~1l}_}O&eu`~?uZU)n;Ls6X@(Om
zr;Xp2ONCf=-AdTULr$k;x;JFL{8W~Dgp9%lYBo>5VElxB`SycuZQ~GMe9he&Iad3b
z{kMJZ%7)1wa9_d7xrFV>&KLO>!FXkgQjDkubqeS79iz_+89Mk?6E_#LPrL==e!puU
zTzWA9SF6mO7yeW5u*<OhPw)D+nrV$_5biZ^5}JgtD3`<(h0Tq<Gw;l99mw0sls?GI
zT#@fz$Ui{#F<1P)ENtavA{GBHNsLb8s5To3)#bo>!+g>@>t=vzuh;43Xk?V;BwMNW
z7oM}nkDbCC*DxA*WZ{ce?sdQ)Zg31G{B@}bGrEJC2fm!Ei1UNb@IuWpmzINJN?q6>
z=%(<-cRjP4YafUv&dM^$6i~rjVL1$)<Ai^;tK3}^e(0bR*jMSu#T16UTD;^O7H>dj
zT6fnsd*Lsga##X_-XY~XYp#JQ?6Fyen-Vy4`BOBhd%RZ4HnNDp#`uJqFIM(4=O3-7
z#i333N&<r3EgWB4RUQD5ZA=5Zj^rz~b>xb~Zs-<^@$2UH3}i1aya)u<K5>DeTue@a
zj!6@xPH44ZBI_V&tRd*n%Mf%B)qv#hnMO}50;N8^9jwWWP4<cGc?`%!1*|lf7H{<D
z=dzuZu!mRSfdDXP7dJ8cNuQa4DE4@Q%boZrp)h$xw63pR$<gi48|lKofRTMuZJzt2
zVX8dhO)Ad_o|6^T6T42bORa_PK=?7Lg;(SB(?ofM?h)@St&+X!fM3|1=_`KI#(Ed%
zz0O5K>BSU-cZlvYT%X3@rIg%cv#HW(+&T}twzwr3K@v!%B^cqH_`)bW&<<Vmo57)A
z$}ceT-^VjF5WU1J%rS0)uGYxg0sQm)8lfA#?6;UxKsbB)=JU5AKSkiaY?b8;rMVqz
z#0JTYmna{EnCq4evjNT3H@?}oO-r$YRmAtNPfXHTlz;w*`Pvj_NIvFDH+XRh@IY!T
z!<wJ-6ZKxUTsy)(&*Rib=lhzg@k0Ui()X(`emTP08tNO7dtVIkWrs8a&*ek;7<DT7
zmZOzu)xwQ?=<FlL+n&!aa5lW?)YwPo-vMNfXw^WyP!n)baeev+3i)tul(|)+T+Ck1
zOYuM{CsX1wGl~^#7p|M>ZZ#=tI6vVW<toC9Z~$&1OD56R7pDflTWwnsoB!~;@Al5X
zFiy(Hm>OPECi|hprN{9c^^nmllnd`0-mwhjQ)CKfovu!sqStyKy2otAo<qn`BS>Df
zi~hS}^w|W8p7o!yB~(<_vP9^Lk^8(a=(pz-vG?x@mz1REr5O5m_Fq?R*`yCA^o;qB
z)0gAp>*o4^Cw5;8w|@48BUh?TcK#_OYxV%5M}vI#;;0H*^`=HnvnOOv!uw$V_!sYX
zM+H0gl%j)3R?bW84|y)BeIsyzs*|Sri>{V+{R^m%@p<IG2YI5iz_tiLDpjuD!>R$k
zdyvSATdlYda!yl%&+Uv*FF!21I52iw=I%-vSmPm=SV+d-(Ft0oX}YOOI#urw>Ev<3
zHuOwhZ$TV1_{84yzt832zdoqXiOkzt-r7wWEqQIPUJqy^nSs(sjjMJ4665shf9jG$
z1>;QXsFYQwp4<L?Mt!x8G+|2{F%)oGmQnMP|D30~4nTdt*~cjd)$Y{I2DgUB;3@SP
z)PP2Rf*QFDH$EHVHyfP&%>HYZPJnaGn^T2Hc$mN1elER`V^Aad84{rGgJUmtb4;6B
zVP@YDz4@C~TpO~m02B_lr0J+gPo{BtN6F~{HI*?CKLdQMnTrXSSm0(y@Q0G1cv@3+
zrWadJctCUHUKz#FSD6##>`e<qz&%{<fq^q(j6S~sq}Wf{MUr|!<prV3Y`PNRa<y)Z
z594uF#mx`GVZXiV$(jLa%MZkBK79o?D!y!ebdRNB8+uJMT@Ww>xJXDqu<n#cCiY)S
z_O+*5>2s1xIhk16=yO_{_A)=Xhm&2kZRoVAhe63i1oAiB7<GS8MZ1`~Zbtuma-mM$
z{*H{k9Q5{KMj=aFZk^|sqYQo}!*iSto$p-cE{zQc^@eI#KRv=o0m5_V#Q!9Z`lvpY
zTU`p^o8JrMOQs*rcBg;OG#)?sZVT5MID{^5MNhjKTl3Qdj)be63PCNr`cIWrOS7fk
z`&XRjh!vrit+<G+D2Sj2;V8xks?+=YOh`iStm&>5a*<Nu$_}}hiH(*oSBjh0K{ftv
zhOeH=m%fN}AqD=^ND>N<5o-*&svadf9!<I&!I~l+qMbk#I=H)$n!PK>fU@iE(6m}E
zyNbxB{FB67>aWl_aJ%V+{D1@876#~1e+eX)C^Ua_@F-7UCJ4%~p)adYVw_w;0?-<u
z8W-Gvvj)gK?>b*#W6Xt86_}1Pmqr6~nxxn2R=IBqzRD8jI3bqA#8<c^tNBSkc%e*;
ztfOwT?a#Z>jUiQ#_EeV4ptfE5{y&N2j5Pjj&fSV$gImgDr06e{iw__X%9Z_LnFW|9
z4wYdCT(_E+VQm)9KL;0Cd1V_pZn?JCNiqzV_4V4Hj;6IcbIXj9+bdz0t=zYMOYFxS
z{6XsgrW!h;{AGJDLSd288hJ1JFU=!G(7j(ecpicw0m?0IM%4kFFmN-RiiNb82$w7U
zh3_r8UHx2wGJqXw-<WpTj^i7PiP0*YMXpB5d>_zKJ4T)yzEYOWB#n2Rw##dYaX^b_
z=TpYd*fKwyT<1G7K|9i2K17>t$8_qxQE~D0Wylm%gf}1Fw;-%(zy@fp%cv5wyWfrN
z53$6C$8|XwgG}QS+&|9~=U=XV_`P$K3BKuoBHP)!ke*Xe%Eg;+dLaYacC#=CVgg3Y
z?`A>TMr8os()L3u(&*+efUIBqR=m~#_h@}#Wa`puL9qz{qazy8b^LCuGk5+U-r(f;
zi6JlzI~)NTo&ZJ_{B0!(YH5@THKIN*N=L3}!P+0Jp|w(R^V(;XuT7Xj{g(h*s~qg+
z@77~WeL?~0kWR?w6}cR>Eb`+ESS(~i07wlWgzBAVw>`g*^wQ;62)A)K`VLI1xnN>@
zO<6X&1uURW<b-y=#_C$eS`gnuv`BslVSa6(#Sw>GZ};&Yl^%=T#X5NlmMxV<&zaRv
zy%)LdMcf6(>E_<^A1_}PU2e(_#LX#2H`D<{(5s0k1GCa;T<eRocpC|oPkPJwz7KBo
z8)*L(rwE=X;4R1X)?QaLcd91qF>Kf?0h~P$H8?e!=#+w5XQ<w^)@mZlc7+%kyQ>YB
zFl|8QH|YT0v|~^i+mUFC%7Snd1}^|~elwP~dJ_6nrgT>FxvsX+A@BwNR|?#tu4NQ&
zvr-UweMc39MIITND00#~9rn6nZ#Npy`VXZp-EHytpd5Wyx~?~Wk%(TjpW#4I-W@+?
z2uf%rmXY|k^AJ#N%wsv!ID?%01y0?wQ?`S?LFQH116L5WXycM`ngjHim?oAcwR3IJ
z9L0Xi#BjT)Nz}cP;V~d7y1?2yxl|?idZyn#QIP``6>5uB2nM}p$kQh_edY<D<N2n}
zE>g}WJm(fynj}^$+FSkPo#NwjGTy!w+of{gM6?9QPK6gE+ok}v`+i${8(+|C$Hd!$
z9q#<t-*@)#hTprblU|RdqsG<DP;V>Xi6flkv+~vaekG?+MTd395}F}Q<ifuE!y01z
z?6=iF_%3Pecda{*%s3HyLjbe7o~nfZl<w+YgmAB-{eFJ6k<Id7qKCi=gQMmLgN$I3
z5%jaC*O(XZt_?&2)&n3^_qY#Ry{&>Ur^ScMglRxsscr`FXZ%{|v4LV9$+(dKJH?s#
z1~F96&2!UK>@&AwO8n|8b<iMbb6H4Fi(zOluPx7qDtzw0D(-6X6rcbzn8JnycH3NO
zs<{Z^sr}`?i}z!l<4xp2(6m;Q^WU?jxDn-1!Id=}>x#pM732&qWO5Ow67Npb%Lq>!
zfcQuuJ%%9HV37_d2B%+9<mq@zEvqgGjuuUd>7}V;f@Y|2mi!AY=kC3)6k|qwP|HCZ
zu;3S<cmq)i|2#M4g;E?-WWiUJ3R_<-Vm*83XCFXA$D859qkQds3!*6fqPGduCVtJm
zTY^k(M%kCrjm2fr%sfl&{Xv$4BcHOv#|LTgnxwC6XIcpg#H@D2F@s^OSl-)lX_njr
zu>x1&CO-)&v-TI;SD$}wSvdOi;_&lhCtl~Hy?9klSwR0IzBoHzp&B+wAV;Kao}xPt
z=CN<gC#Uk~9W`}4lbmPKOYeN7l-nO7_AgF&cS4}=Sqp*waaqBms>t<CS_w^!mTeGI
zmvW|P9TpkO8P@m+A63VsrOJ&(A0hs!uXrlsmaH1_6|pjAwYdPzm_^ks4(RLD_--G+
zvjvP3Dyr?r<ublc>7-ynl?bs{Dqv!3@B=*jg1bj6vz1&0c(+PHP*?E_#6ht1ERW-u
zQf@GC$4nlVx)|Ty?`8lsc))Mt=Nd!mMl+m(T8b#1k6$zYFMtAu`r-^Ft1YGh@+v;7
zaow9cE(~Fkd5bm_RBS*gRjoKRu_9W}e~1^`wje&dK`?(?O1E5^zc~YfDlA6L*QF&2
ze#1Qq0#bfU5j44=j4fQN4J&CTBwt1TM?D`sm-9sTG&m9za~V?^<IA3VQKJIhiUGO0
zJjk<N78HcWB=vHpJtD;LVUpA&^_O_A?>!cjO#p|ck1ME|wX2t<L}qgPOQ?qH{@ex(
zb>#u9>pu%tnvQGU+!3ZBH?2<=0YgizE!jm|fpaBkjR^G_M^ztDQ^!Li0I|V93j<Ah
z6q`Ig80647z?*>yoWjbSsxA^>(VP3Rz=H;H&}ZyV`lf0AcW}I@w5wO2J)){ka@uNK
zAHE@|ag9?*=X9;gdom~$N(?XIa7SE2ry#xxMB`Niz&{m11YNv2_g29Dfy~k4fprDE
z(yWR}*i)omiE(W=?gc|27fSx*xUS_?rp!JY=up>{yG9ei_yP2<OCAd$hqqB=yL~#`
zi$NWSeuEpX#IE>yIl|f>nAO-3^Y2u0#VOxxl~jS<v7RYlDf8W3Wha+@dSsewD0J%H
zO+#B~4K?G1PMG+<aS9NgQ^4C7jg2uz^VFfg^XlSL?z9FP5L?;K2GXNcM((E|OA6P-
zcW_2Qs7M;%F8v4{W0*cI1d^zXy|gv5OI~%Z%&QV>;G`O0QHeV{KRIK8?NME~7PF}s
zoLGKf%42ujhpMXbMmsL#ktitWn{R5)9KS~qRvyht8NBfewBEy-@>kQvq72VACue^o
z+jJq^)#M$bF&jz!)4W{eqJ=rrW@kd?_csFE{mlChCy2E|E$^-Lk>Wca?k~8!lJxOk
zH-~fP(g@~MR!MbWs!e#JEt{yCHyZ|{&kg=RxheW1dFEmJ!!p|p3Q|b>kSW%%?go)_
zY&XIZCd}LPDz3;^I--*2j<#-+x-lV}i~&4zd>JDsqV*gfgRg64^WcCrjkdZcMChbn
zaZ=XqC$#Fx|8gWId{E_0fEu|XdJFK|A2xO^LC|#(taB#5R*r?M(Y9S{vpV|K>t<j4
z;ppk)ZsVNf?AM`_`lSM7JE<rw>QI8*j6A@t!N-{f;ISbLL$XO_K;=!J5>?srtP%Y-
zsuc}{3{p3~^VnkZ>r)60cWOy>QZ4s=D2eRS?sHTUfMvZJ%nFD2^733Cy@qDtL?p_b
z94@1}TLv5x;a^JG!wtM%c~>H`?dR;W8DO+x)9rw;LROzC821^zv|2j&2@uQT6gA6I
z&KAtj=Z)`4E1hLDi43!LGVg@k+X#E;8q9zH<vJ<*h}y+)<PP$m%`XT15<Guj|J*%E
zEd@t*rfaUgx<BMu%RJCLgm`m0no)<GEydcJA2;cqOPef4I&PhSCS02(Svsyi2e<|+
z-47u?e_*AoS@Q0m3!3g@uT3)vtF#ft`IqsMN<?cbnI~K=p_;IW^fB;&=)L?t%+IIq
z(UG_ud$0dE1qx_)wXHufAD*#q^om18()*}?z4EcF0-G<r&kf^+E4LC*p0I^a384Ei
z3*#QS>;Sw+BrlW-8*DIHy~*_4bkbSav1ypiCu8<QbMBOK7OJn@pIyY^zGio%)=_=P
zYv+s4-SVT+-rGsB?AEslRnsNG&%`!ew1LUMsD5ugx+?8qL&2TDj=wJza@BI_HGnP3
zIQA0$KEif#*WhTpUEz*9^|-`X{S;8~ITJ5lJcl!KY^>NT*2m*y;N)z$0$79hGhjir
z(#Cdy221uC$~kzygk2e3qwcMXyh<O;Gl_7x<JoVd*iV8e@vF_9SQDpO_C$;ZbWQ;2
zG(=Z<B6!;<=9e`4L|z*8(lIDNnVf#<hmhEhnh*}c!uGW6*K4$aqm8A#-`%+BGU~YF
zW_&@U9z-4@<I{@q^SNU1XICQxvpRs}QUF-ULa^h6*6l~Uo*zZ2kW>om4|v*v=6KU-
zFp-1d!A1WgmfwlmMsglon?hD5rvo}zJ#6(Zc5OoBuBT&9DI98xt~5t>xq1wb58WVq
z3Q@X5)?iF#Zj!{9F)5~+MM0~ONEJK${tkO<e?b+@_%2-E|46BhKy;R4H&whHvz<s*
zS6W(ju<<y~5tZI**3Ma=%|dCKGqi+TsnbZ?=-#Aptv~aGzWTQMzE<K5X^HvKLKL|I
zZMCR2`L<$o*4S2gv9JHH6}o;v>XG1xuc3l>F>|()BaDC-*npDor5VG}Tok}>Rx>S)
zd>w5S{mJMGO$Vy$E*1O$9pvhMn?w@5d@l>}h4b#u>WO_*(t0;V(rfR4md8%@Cw(FG
zjSX0(ej)<!T)!U=oPM_xDB`QF5m>&1m6yaC>{ukGd~nQY^h7~8yWq=PXNq`sky-sz
zGb8`A0=!T^Jr<Y-z7mm5mENFx96LqRXtBIQuBz@?8FS07`Nc|mv9CnUD6{Wjg}dyY
z8@l{nTjpgpqnVK+L=r%LxuJ6i-YBF8hHduYV{fH)p2GHj{qRqO!QXFsXt$_<X;QPt
z6ut%yk$z*;dq1ec^EZz_A+*1lD)4pyIo%_Kd6WF5^W&6YV}my1L;yaqjcJQ@sGhTo
zhhd+;6|1qQJ;@$DeLB<r?W=D<=^0?c4CaLfPq!Z#@A=PTGB@Amo(K3vHr<dp*Dp~8
z=Q?-!;Cr>-z}s)qZ$F6tx(n8^?X2J$n~u87c3QT@lRF5}5jjBo?vpba5PvMol-K^`
zm%W7D=kkOV9dZZjPoO&L6lCjfJ!T&hI%g_Ju%OqBHI?phjsw}`h@Mh;?wo1_ODD-r
z;0vSU`=!uKmfO@j90$`Q&)U^Q!FwuVq8aFL6?lsi`DGu+^5r>$I3EQ=MxZn#Bczbc
zye%{)UvUZ<%C6=R(Q)lc^8z<uhsR!QghEc{)Q0yGVXqWlCL=MIeA-&Kwb@UlDikS!
zK|hcNuqG2xVJ37^Yt^cW2kbN;07+TK79$gwTS6J0!`hu+%n9jUW1-FS|6Xv(p<@FU
z?9D6Ql$c6C_aKQX98~v9>l@tnUViz@CDKWmGtP9c?Ta1*YZ)Q=PEo((u<Be6ORzyM
z-m;5M#GH`W_vgnPGW$VnK8S=Lc*Fm@U>K30)P8i|3%-XOj+u9ZvB4#V=>;T>_+mLY
zJ-?1rpUCgX07hsN0VwQLdQ-T5x48tT_|nc>;jf|H^yJrloG5-Tv+1S5tIJQ3qc8u%
zBH4fgHXv!Fr%|qh_<Ct}Z7!Xr&29Vr1{B=<2k2W%u=B3-rh}UbTV5TDT-9?eSnEF{
z9E<Lm&lE_azjS$FhJzJ6Btzk|Lob{RI6nv;`)qCqId%_Yfo;WAmAT{FVRNxRhmn8M
zOUZy)Y(GPVR5?`7ZQwA_v;Z$7Bh52sYxQJBNE+{(3w#m5&d#I~V94zm-|w#+#cQz@
zwo9<0g;$Pv%Ul$Mz>iebi;QD?Qb`g=J;DL=A^b}$eWxD<BYAtcYgz`}D;_5F@<~q{
z);AihkqOlSi!tnfeByvYVCeo`wFOaD0oc}-6|u9pF74;sZ#QBulzvSfMV$?P(scBY
zD`)6ZVjtNmLe^YaI`0hjVVzVMtQ^kDQvzHlKdxCA!6vFa?8>e#R+a8w^osoPgYtL+
z9gbpZ<<yaIWE6yyW^!AX_oUH!5Z@E-g<5yqGFmeWX!WA{Y&in5?{;Qw=jt<ok9Riy
za-i8lw*7_QH$1t&?t=)(MHOF@3Z8IXDM}Z_2X+0id;S&!e)f;;`G%`Wo^#E9^~q;r
zH|X&rHI`{n=VuSErN>{s2b<SD)8Ve`ny{c)SV(8I&!MAF<C#+xRAbM;iBaWVvPu0I
z3&`Y0eQbW@Rk$^VKb}>{Tv0CKds`#vPk#5cV><Q%9!hUuE40OnKgCj$o#>#WYJ_$B
z&o-eW0?r*!2J|U-%68M!IwOkcE#$4?l_WOntNK+@efk>96TG*_HS;nbX**4m+Uj@8
z6v5Ei#B3eKBUU^0e;R~-?$IP76EqgrGew@L@b4ezzxVhj4W0s&;a~@${+bXHv!kOV
zC5=BHmLitrlLBnZQfxL7KoJZ=nga@#*+tXWiE|5eV&*CXT*anIX?6WK2b;4$){}sP
zEu~~Duxl>iH)Cj9{)zix+g7B$>u7m*>*hm@o!r0uf$%#g{eJALRD@1{&8FEPjfJ_2
zL5bq6bgUEoduy~X9_i=G8Ihyfuc0<WpT~K2L8c!J<#D;SqmiDPcOwalr9iqBgiapT
z?h5f`p#djNqdI*rYANCA2=70Uhp+JTNF7a^)QhS1ekkqv&Aa0!aGSLj#0V;}-vMCg
zZB-0)-nh!RC9y6$moCjmExCdFdbk#CwT086w#1535~lTHd7@}z!jLgl^06i<6}|(c
zvkf5XfeX`;${b`b4ou2!IrIR9`n;LyFkZkH%&~~W-L$Uq2$rR&v_j+p_SHM7n{^4-
zpz8qvQl{l8%4$ziK2sAgwG5V#CB&M^x4-|f0dltdDD%|BO7yAE0`_&fC~dp06vT>U
zZ~RMz>FJH`wnZy2(KCsnSHP!8uj+}LlI%gpaGtpunv;dNA+HCXdK^5)ColA&<c;Y+
z6$p7^^X8E`HjOlU++VWhu(IsxQB@YC+w^3mxN(Jbjp_eU^_2lpMqRf^7^F%`ONlhn
zjfB!IAl=<1Lkq%yv>@Hx-7tVKq;!`I4Ba!d^nG~m{d~XcFaH61&g`@H+H0-Dk80|!
z&x#?aQ&-9=qN(l$sSd>PeyT;atHAZm?Y$B-jh1o&b#C}L4UJ`&Zk&qre@3FGHQ~QX
z*7`r8phsFd4^xCH2uSAoD0NNBxqgae2`(DE5)|cX#)qc<8W=L;1!NadBRG*>H~>DX
z`N<)c%orjEh{GF=LxQR0hfp8Zy{$rw!;a~`04NW0WRCijIMrtDjgNrJ;{b1#_)%~{
zRAATr$E&ToTp^{v3p%l==~IH1*yVy&N2sMLzxw6qjP26+?PooZ0`tJ0>5^3SL+cgv
zn16fW><wh-9B^Pw8oylwB*5%_g0<X%0P!Hr3P6TsrS_${>Wi-=Fhx2<2GG`iLcFa(
zar(!Hsqm%CS3B&3i!5ea+W1@$vwgD+u1uRE;gaWhjA4^gIrwK=tF~JWmLP2$_G`k9
zNcTcU`HAd0!>&o$ULVPrQF7-Ht2yhgQSYZU&jK{A)w<UV-9vJXPW#38ZuzNg+CLY?
z-@4tJR46gow6EOyy7+E&cfbjP(=cyTpX@ys2h+gr7sB04+8b`*MndR}ajrf0Mvv&4
zJEB@wC}Nep1LHbORqZd2_O|-Jrv0gnGgkK1iW4z2mk?;$e2oaxu<siT+1bJR4J!6f
zx{(g~N2Bj!vgrTDyU1Wmm{Z6gsMDkK2=60f=F(VA86mQDGV?Khb%lHk46qK4=g0C~
z38tb6f>vKCTSaT@6n_*D)RbAcG&-E?44piVb9`IjF^&YNiSKaVy?tYF;{N2?KEfRb
zxyOX7mH3BKxIm820%X{H1#@6o%U1-sFE!$65N^2uYK3AzNB?>kx2&s7)vo<%EDFBA
zgydatRp8H_dh2s@*HICd<D1Lge7#7OqoxF27{$d+do>=S$<jH(PvB6era6(Jp1oqr
zChIGoG^^mGTZS+iVf&uvh|oL80Hf!_@1*zvigm!`<8_iY&W+Xi#%zjvpTdiGA|3!o
zMd)L2304~l5VxQu=V-E`>s2~-LO*jV1WblNP-r~EvTB`(J2QXh-gWFa9{qYCN(AN0
zXxsCEY|`dgZ~nQFg<2w)ml;Zcby*zCdkOxO6m|ezt?WFhPylQF!NaDwO#8ca6*jNz
z_6f2Xc+%^&_(#7ub7{_zPm6(dLY7QOcb}SBW?iFC!i@7hbB(oi!?zn)u!hWTK{?b^
z{@u>bU^+4y_kS)b^m)R$1ydq7+4j8JN9VeT#VkU{wTImluvRtYh!+&3teU$41R}ti
zP+O?^MdlC9C~OgugP~79^O%D;Op6KXaoygFo<P2n80<e>S6ht3h^232nU~Q3*S)*C
zD5?AzIK7MuaeM#?5v%n@*)^|a{WDZRR7-Ptn&8iv3N{^kZ#(rfleV{yNpWJ<kQ0(o
zdL4e&Eop`Eb?3rP{^V%GSI*eoY>L)kQiBq&bmLNQ&osRZzcN;gwn5qcwP6pBfw;r5
z87yF<L5U7+eNqmJGv_~zUdtiCv3WcoPr1dSG9+ZlF`8^%Uc%k{T3`0D63sD{So?F_
z_Ui*vy5rh6B_6}vTg`trH*zuIJGR7_ZX3X&DN80x!I7zIbAHm5G;p81sYBNtD1Wxt
zpS$g;{la2=_x!4x;vL}9EpB2qjA$aB{d1K5K#CJOH7U)I&0Y-nl^n8M#!z94nxuQK
zMaBfyMR;iemcYut0dYjzfLTgba#qoWCvS97yAM;dM)7cO;A7IAw)O<BH$$};x4?rP
z?BAXBwu%I$p(1H!wUg6y?Gz=NnOP;gCO%f79#DL9z(YbU1Tk8$)KjiGpvg?&S#CV-
zK$cI>3)tEU;vxyH<>0CxoB^^0po3?;9Y#>i8AU}N_*LLAi&VfGm2B*+N!UF%RnC$n
zF~v*avJkw75o*u94NK8m1g&zLOS&RMKu;qrm*BX$hE3P<RY8dn<p5PWO(E|78kmkW
zse-OAyJ_QPX52<`ur{gc>}TR8eXAa!hU{nTKaX0VriUBOTQvt-las>bp@c}lvqY3R
zUvGC7RA@!=AEMU^6xWNq8mc097~x;#nXHa!@0-tLB$hD6>Q^J0?XaQ9ZS&f>Tebt4
zns|&T@STFKeZe=x$2FHgoM^*o`~hL}T&IeF&4sj{Rd-BY-*A+gKS7xxbdXFqegE@;
zc7~E#)(>3ID`MKiU_u6x!SUesIV;oaF&Zllh_WKZ^Nh0i;Tw-wQ8b>ZEHAAj_oZ~a
zWbCf+y4aQxvXQZEHEzmZ!M#NPzA%^g3}nn8!EK?0;+M<2z8r8sO3JFc4NWBgUK!2t
zn0=SDGeyr~*))6qbdxEbKH0@MMeWqBEd0{2LAPX2{~PhyA#8VP)Zv0E1$kb3-nxh5
z*?Dp&&Bp&p!$<4>Z+t1cLCc^p!i(8J#@&HS__CrUX@6i+&Qma1$jUhWX_*Zte2aPA
zP{~Liag~dkAdw7}tr5^heA*i7JHjhlK9pV@k}kC!;H?$rZ4=(S;@{B@Vjpd=wU(*{
zgchR9BRwa{9YD&vEg!56AfJu_Nv2xYL)t!DR1`q|_|<=%<(8gp_B8E$qm{{<#~93g
zi5{48#^rT<Q#5LlMn;;kJi;-s&7(4nwFE+73sakNxVXHXkOf$9U<34_DE0(h^I&gj
z>jj->_OP+Y^A`|7fnC0%=9<8T8bBV8(Q-UU!Q}D^x*%*5F#n}%*(nS)kY^Y7LqUJx
z?cnerFgV$!&tACotZm>%ir8UQ{;IMxb`L8b>rK)7w|`h?x60IC+c6Vc;?FGpp;=dK
z=a+;<VffcZ&Q(ppq9Esi53be|U(+j#;8Rph1GGsxgtVeFeh%9x1P{IYF;pH4bp09i
z1aO9t|G>)7ZZ*7bK4QbMKMd)%Al@%Nw7Wd~&3@D3>Z1gBfB<FH=ceTfx)JJr+-Kc1
z&-I~`zU$9f$0WoZqBJ)zDPohYXP1sXYo5H6;vQw0PcvrrbeR+CR>#uDhuM`knf?tH
zvb#;dg)mx!@HKkF9~6tYKnC8cXF6JACI+0sZ&&3e*HJ&?G7#(eE*Kr-M2;kH1IxFq
zM!e+L+C8=$SC0qwG99-je&*owvBju|?KbXlXU@Nf;K}mn6VjoPad}xVovy%RV6Syj
zr{>}+&a6Nmm;Gaf)PAgXH7EQOX#}HoIJWkfH$c{{0@6q9$itmVT7UjfJp)&kj|cGS
zx!1yVVS`Hl(`>|J#EvY=;tJz7Y^6x#oD)6*IRFb1(BfFxBnj{=`5yff4ThunK>%9~
z^ko#h1v@~d1GVrgrG3U69o!tQz4&CY5skY`fTe4>#N%QZS+l=kFpI*x(pKv46EuTt
z&mn9b+PzykiS5Im9iggVV=OCQaW!vTuJ2JMC>#IWHLBI$k@lJDGBmgEE@gD!v*8kz
z?eFBF{74V+eF+lwTbDO)%<TD=mjG_lbt=#<@~0l6f8$$=5!uuYTNEN;9oUDy1bg5C
zqss#Fjj_tf>^0IW<g+|hjrd2on9(wnw$ywANbN=JmbN{6kbwVn4u9P2dxM0VGH2Wr
zB#~7fU?&8mjsp3@ykgmeKiG(LtDlS0g6V|z>~kpql0X9JCULRMrZ2Q~u8*(Oy752f
zm+NT#Ir@11u-lOf?bQp(ounV$y5xCq;$A;@ki@BEPROq%-D^ojMx*{~BeG0BnFW7&
zCTPl8)al>+A=`a*ky;jR2)HlaB_~UO6Az3EP7>Udiv)M>Il8xgPiWAD+G>VY2p5OE
zfw)@KDo6k49NB_M5Z33%A}MV*z;b!XOVqW@%HvjEXKwM@Wp@b<7(*&E2Gk{`ToGn`
zc@yQz#?|&Ln;*_IJCt)o#~M!rw4G1l^&$ZWt00@}(%_oe;>mT>^;(kU_?59IYG6vD
z9X%`YK!&G|YJz5opR*|`!S1Wc`bqh?RxN-%CWKzICqk|*KyiQ{Jpms4)1uNClu;he
zMP<vMm`(5vt`U}JKh2?V9FSRG<_)u-LdO1hbxHVUS><|6of8GHlmTK~nu@6xl=<mw
z0X?BY?UAo#vCAZ1hm-=>36?nxao;4)#`+zu$!FePPRVqD6|nDGaP^4(0tg2sluXjO
z4$nYIY5x70jz|7%$9-qgdi!n!?3@4YP4O81M4={B{Y&LpHnSr7-NIQ0)XnPmn6F^I
zY^w9{JaZpP7m+ZMmj2|nf)WOtd)24fd@#3QWcu3ecG^H4+JlcU`GEpnDt`rQbSUvy
zdOrKd0`yR7C-;Hg-6b*mZ^#4dLtm#NIj41-cbRd7F0pv`sYVu&gxto=26O>c&}hY?
z*vN%LBA1^T{{c1I27i(QzO-mMwaU-zn5Wv#@9IzjPpec7-#YIvO{J38ztyE3*7#mi
zznW;8Ze}^-H(PIZ62uTYi9D2K25#+p325p~Y+^*<`(w4p#S%o;bSuYu8ex(H@*@%x
zO^>xTKHRtmu=$wtaqDr}J4MEuYPfLodVJ%6b=>fr=Ns~~zq#tq#LlSuH>(a?mS#pE
zq}tg;3zKo)Er5!(>qV<S>kP<)niN>2KwEuh^s)*20B5+euFjbX^wieL9?zHA{^^~7
z+Si*ea|S&||C}1n*Og;Z`xpQU3ZTAlECGE!O@*7VQSws&zneo_tND9sGDP@Sx!PUN
zfVBcZ8)#<c?6u3rp()<;LR;~HQePmv8fOXjO694Z=!Cq^zwDpp@_%LtOB%fynby7C
z@6BfFtOlP1>&$Q9M%BBUc5fyE%CGO;6k@3C!ZYH@6ZKetc+_^Z4X@74!)w0R$)7IT
zG=qL`Xrjq>{&yRsa{;kgA_WNGizf1yb%Kr!h-Q6Ma2#{!5EW#wba|LPK;w=-T!cVW
zN(0RZw<CE*ZJJ$KRxa&WE5IzgUN?hPiB6Gl-ZvBX5?w-SXWjO7=wHFE!X%VjuJspt
z1N+7>e-qGQyuNU*rD9O#{t4)UCuf;G1;00Kgk4<7>MUYCsS?|LItKrfx$F7E(d^wS
z@9-({cAi;~@M(6YPeZ^{5<)~aoPLYy{x@BH3&&GDY5l*%Qvdq$-HYqhr^*bB>vZ$L
zW-ShGXz#}bsBAeNVx@9->;Db``f_t7Ilvq-S!_&olf`#A_AoqI<FL;cj((6#(no92
zVg>X>L5=Z%SKWE^!2npbxetgNx>7hZG;iK7w^z^5Qhp3!90q8KjCfL^*8}38r7X2i
zrdEOd#L^U5fk$y8z`$>M4xHe3j+?r3){rS$C+Hy@0=f)#m4Ous6lnQ;?;yofVZ?(V
zk7?waR^Sl=XzNbQvl6#~_Z#yvS_R|_h=Njdvt0WsTHY_mosPx<3_zsQ)hpn2QNHo4
z&5<KMYq_`2H(hH`%jX2e2z1WIZ1oiOB_1tdR@h3!ro8Vy`!xoTqqH8+*K0oK#k<W5
zN;2bWx{}`bJo@k@^!m3cg)%dJG?uFLs}frg?-IR%@LCP~s_NBHM}{lcf4XS#SgaPN
zId#C98WWdR)DcrmG~?EwfDVY8+u`}}p}O^;5#^Udb($NO{aBirs67xD<H_sR1Z}kc
z2b{;OXQ!8K5#D?I-UpN_9X6tR8Z6D_VHdDSY3@GVBT<SyK{t%pw39kukTXfyxmHV|
zk~1*Nd{$QDsl@;KR<-ZOpTScwG}kP?`CEo)!q8C5QQ(|D<u~b;Tc2%hU?~KZeVwCC
zOL2}XE_E`I7e{J<gcvhF{P0#|P@IXC8wWOfL=?nAyOgF@E~$VhpV1GHZOoGj91BNe
zZDQvd&@Rm>;jnW-&X)KlHE0a%KLk{qnwj>Pbnis}l6_ORYox|fxB5B4sDw3ks!1}J
z0Z3@aINIt3BrTU4(t<=3<e^Qd+<$2Zl4<&QrvfS@kd6;f4M@>gb*=GHS}^w(Z^xES
zvg<iP`$yNr8d*I~znxjs^ou+NrpIKaBVd@C)7y9u7zFheu-RwB^HQJ+tZmoyL!v-~
zm7OUG<aPc1vg@c<Zu|Kb8K);s)jO;MFGcQ{=L@~QJqI~3k-uIS$_^J;7!VPqV;}Z2
zNL9Ayyo(I=bC_oPH@{Y2g?)#8==Flg7_#EvzC^AjepRA;-)*fqSYux-ln$#5o-VeV
z6|D~FZ-IGJ=8R35-Xgy>W7(8(c*RpJsx`3>SorjVPospT=?7*oU8g5b@CYjMpN*Q7
zxy@35%QhWnTY($dRCWWH`454Y$PYamn~zy#u^nH^8E|${-}s`N7o5&rXMatcnWNNr
zx@)++(DijUGbic3w<<C6CwQbzkEYTGQV}~ku-jU}a3dA+I`zG8&QixNcw)SWVgXU1
z7`J8Hn))|w9T-$X8&;$WlEwWA65;k#DQ){EOOfA7GmNH&hd}loSR|mQI&3Vxe=4{L
zk}-i8p?`hh<w(l6KRG&EL&D`rh4B_e)J2zVw+EnKCO8t3uqHUh)*e7t4uU=0a5u?x
zpJV`YJBb|NTTG*8Z(f=OB#<0@!dUSgZz?<g@&H{JK&Ox2@5dtAJ>GxQcV~D7JN8~^
zS~U03Y#V8>X)S?H)Av<q05A!VHGdc5q3#z{fwrz1W$;zmAR4{^17c=n=IC@NeYs1h
z6*y4OsTJtJ07NvU6_o_+i<Lh%oL<%(%^kaWSx?lOxsHRI7k7UFt>4fVq%M?y$xfRO
z_)m4YA-S#v9k%nJP1)(V$1?%M;EyiU%`^US@LM^R+S$LbJ5haY2?MdrxR+N22LHFL
zD4IVSCWFc2d9?UV7^1IsV1NP?Fsqd@Zta+*Y(?%38&_+3NC#<V?;J>Uk36OXOincA
zK|Uj9e_t3x#>>QwQgOxo6B5P*)xOvA3egk+RN+Sg+JGAytmCt$xF_W_*J4!jm@iDf
z;Rk_hl3_}t!iw9*IW{6RI+zy^NJ0T@T#tUgv`!72K1lKPDsnoic_s_hV&DK|UyIo6
zK9{55#{2Tx5TcW=-udekpqMEmi)5zBYvz#WOZ${SbVz%L7ub+?!&=^-N9@}Pl=PfR
zDmL&vy5QIkY0YjokF2)$T34=<!T-T*US9LO*Ul!ni|GL`_4kIP_s$Lz?8^D0EA#|a
zwUjE<Cyi^Mpg%}Ks3tKf%>M_xJ`1i$2_4kY@}a~Xr!wPdxTQMPmU~1&AdVI;ue{sm
zV@PFg-yGNToWz8u%^t{ms;!#<L@a5_V^gnXqeY%O2j{97$WdCuYOY<L^Z`Oo?ljh^
z-+$AB(ijFD>=-}gEZdhzJSMvf4UZHI9D8NLM1D5q(GcTp1|JTuvmzF~2l5cAHoGe5
z|Lv?~R<#YE8_c@nZw>*+=F@i!zDfmjX={?o<nQ_gUJPhZS<VnoBW%Y%Ck?o6d5j+b
zuVl(Yn2QhZf~=(|PIcKP>o%~Sw*v7U!<GQ%Cp)Rp&_~+2sO0maFEi!fP-x?ZFaOQz
zgOt6PZDjiCrCu^11x~~NOe=vd%O7rg7%9CLAEG15AT;U1D9ze3y*#3p0?@5o5UMPG
z;)P=XvdNrNOS?CG{M}}ig1aaTMD;+i7Trt%3s~GRlJeC+t1Gm%Toa<32uW>|036gn
zUKH^EGCdE|BF;QM?_nNC9qPF}9hB(fRUq=~MW*qr4G17q`&2GfJf!G_eGgCtlCAt&
z!3B?HU9x_#ktC^}ywVBiyEt!L?=1%ufCh#cqu+JC7P5XkiiF7gZB;bi4=74afBrf~
zz{UgovG{$WdlKc79o7>sAydAn|9yg?3(tZzDSYD)K(v}6ns_IPjdMq<f0twRrJ^%*
zkj^ny!HDt|)HX`daTkXw!lz<iOiuh^7f4-UrG@AJTIiM06LwaC>|j<vPOgfeG=g5k
z#--cOW}Y1lnn^m9UWMvq9Y9DLTgXz8vG&u0n}`yO%LM?I(^$1Dj9|-`I;7D_#iA39
zljrsDtXH2_q>T=QHBAVYuNQA<;Z3)effK(kCDT{6vG*C6+4fwLE(8HeJ-)N3LlSul
z3o!A*8Mxg0Ik2nUPk&IerUu1&u;Vz^V8^HpB71>vOv5ZkIRi8sVD!{gft7To?G|{;
zxN|X~_mgfZoM#C8{i8}fnGw8ovk7zWfQRZ@@pF;IHy0ncKht50A!{^r_{9{g9%<gb
z%wU?|YFm;2)}qRe_-~BqlKa3MExB{U4iypra5x*anQsQ-$|6#DcYEIa*C!{l8Zf=W
zjGN-OBQULE@E~Z*PbM8WX#djBg`G5?M}IH?lvoWYu`pDga<2uESB#-8C;qXXLtlGh
zZ{HF=^!iKj)_*K$mA;@3m0yc%d1QM+1k0M_6>Qd^*<PkEe4?Ckhy5LiSkXLb?CW&y
z`if;B>IkkN8JFie?p3A}9jn+CUj3>%S#g`Tbii{%l-GO7(fCKG1~Xxa38zt7BBg`V
zp@1ao_%9HS@|pkSm>-=dL~IsW6X{<LS1jj*EyX}`p8<sSYtM^Gq=WNHci0y`3m)A~
z#d0(X?dcpK`vu@m-Vh5@9M%o(+}DkcV6)Gcmjmh&JsGgBk5Ymm^O;{A{S8aVYePUT
z9EfhAV|*oZA2Zr{g${(5PY(Fi-ZZ?*UwA<zHBStX>tBq+MON!4+Lgb2@c^(UuF!kV
zT3aYXMC||M2LX~_jw;+V*bv~u06MmC#r{?SmNusIrSAsF$jqh9VV1N`!2}0E`O4t<
z+Y$QaMO6F#uHom|X6}6C?wZa?nrHWuWt!`%CV;M%eL0@C4o*CW=Zk!yXftcP|3paj
z1IvMg^1jV0QTW8<_`uln=;AomF25<1+1C<bkx!GP^PTQlKtDlU+c!-J+un^zKn1rU
z8jM$&HSK9q;R93<-*G5gr%%iSETPKG*}kBBK)YOEJ-8GpmuNqB>mgD^g5x+r3Nr?N
zya{OSnqzcu2J!+>!&~%+M>C<5$o<H=ESa~hVX>1%IE*7n+rYb)eEo0t3ipUz`3L43
zY>05bzGi&XY<qGy>sQlWrowz(d}$I;p*Q6dKm_c34T?B=Iv15hVKV!6?-xmg5ICYi
zlpoJFV9VKGXQ_gvUi?j?Eh`~aruc7r4K(Jfa<ecx1~^h>-IPi~vl2S(-zGq%Xp9;z
zL$sA)j2)gnooRHniBEcwFMEB6;vApuAEc??HL)o^^SUUK=&$^NtArOdRI$Z1N}>o8
z=Z2)df;kelKbZsk3KxA}3KoH78Lq}Noe;_n=d*WEGOe~sJ>SObg^p4-028NGva*i-
zyaGhTI%nuK>ij#AbkDLiq^){B*xCs9?ic{5?2~Rv>5F?6t=`}6Yhb>S+<<fP@`(Mo
za>A{mJOBkGM{6cbJjg(?bw#Kcis0r-L=WnKZ_8nPz~(a!0)({`cpxs8XxB1xOSnjw
z`njwrwnGP(mpCDto{~`w+yGGcs12}=TM35M2;o@FIZ0+<brv<}*wLY$7f&#q2#o9!
z_VeC-%r5xSgYwzO+*O;M3lkLYMFoZSjMr}w-8*1Tmjo*>e_|a{@oUqnE%_It5<jio
z%Hsd+l*L~vyqaJyL{;?wq7eN^*&i-N7IoGkHF-cBPl=Z_FIB{2)o?jn$LhFR$ks8X
z#YT8`STt*NjuQzQCOQ^`Whdf0PCRhMss%Z8ii~A@?dIn@(muV}+9LBD6X}4h_1>WE
zn*F=gT^xL=>??6#%Ce9ZNu}iqVCta`F0!xs7PgczTLzxxdCv<I@~#ke6!p<SO8U|(
zGnZSbcNa9|%$Z=z5~0=|yiWD-<wqvz70RWsZ8+te;C+f2QrL4^qOzw-0J2;(M<?ET
ze)N(aSU>>zO4HG{N#{!e1BzxUCnIMLs5p+XjjKzea<CvW7|^rjdwGYDQI{-4RP$7H
zm34~ojKmWGF-Sm!yT8Vjv^BImcC&htB}27rp~$8%b}r#R`WJg<TqE&)SGm$ErZynH
zB|-ZScoUy-yvWR8K;t5MVP{A_u+<HG_diKuC^NJk%ZPUDYKwg}-RZ1y&AF#8{=G{_
z;=*z_N*L9Wku2EHFtkNCGA6US{OaEr5_p3jpy6#a-Td6WdLCuCau$nwBD2B}NDyNe
zE2#%QgbOye75YUWWX>$9MOX%$7=KtJAS+{co^0k3Z!JeXXd~)=kTz~>h5<QZlzRXd
z9X23u;VVie&*i48jD;3!9LFPD8}H>NFB8ULC7oTNCBsj;N4L{l!Sx&(AjA7m5(Awi
zAQnyb<y`hQZn@yDkS=C@&FUueyw1Ce<HxoggM!ErmdHu=zSGHDAfJL-n$^p~?@-62
zzHJRiE>mv-Fu0={3G9}H$KH3JfO#$7l$!Iom*_E#JfjSdSGdsyh-W9Sz1`gMmQ5ZZ
z46!S%eO3ST;?zh^*LrdO7MuYE09S45NZh+BF-*os-$e(hWg?o^m#n<u7Ob3?&ONTp
z-_~~M0Ly529VaCNxi$w_Q-s>8Lmsh1gX>SAp5hTG^4vXcl!N@?szlbQaqd1{0loS!
zbE(-?YDf7?G2D}4bVwP<TcUEa<oXmyUf;h@RugOzmw?}CoO&P52$+l-6^CFW+AD+F
z(A(_79VYP>2^mZNaNQ?@CP#xR-Zg+pW%fa$91E~(Bces{e4)l&DylpG^O0|*k+!yT
z_Xu6SYDvD=kG_})wZDt~Na)n5==<^0;!2qJBL?1{uRFUK=uhcXKdEHT4SaZs!23Ir
zOiNJVxT=EwvTD|ArtHV7&N5@}+AU#A1nXA%&l9gdlAn)Tp2&RP^t+JBwEP>Hd-4S1
zyo0{3NP&UJ>+v{-F%O)&t(Vg;0QGCXe<7{Dclp}b>dCNHSbbLrnsS4t1&kYle_H7g
z=Ju)jV?@JcaXV?Eb1zRC#gpV-tl*T|29*=DepE0YGd6oG&f)tPQq?iAO|Io#D_9!*
zWBiPKA0(HE+;B&>3jqx0n8{=Eabodp;fAEXSGA3mSslmfk~oP!vTdKT*<Jf*Iey)z
zNqJqqbw7ywh|ksAOnsUJ=2vHD&Cgd{D*yY;fg<yl{1M57-nXTfE)y4S$i%gZk)vgP
zL0Jq|7j_}ec6pS4|BxP8mUCl*I!9TAr!spw4OPJ@=7paEg(J7;=TZlXz7w`4IMN{l
z;Y)4svsA@^cj!9CPw4uF9-Yh=*qDG$G`fDzkQICoHj(8;fntF@gur|op4Y<A=+Dq=
zC@Ur7NQ9pxXGmiH<zyUwBim-_+bAWM_H4oUMlwZ^<k3!qVHV2kE>hU`rdb|ldezSt
ziB?X2hrfnU5*iF;s0?U48473{sP;<3-9CN)sFz2$eCS!1WH;rV1tz|IyGY0W3f7^p
zCc*(tWgJMY2NM?_vXP8CR57+(WhWcwc(@YYkP}Xi-G(j=y`KQ7KCLr_wp!8PuUBoE
z?{VcOQoZpWyJb`EVV(?Yj_7{D9n)&S|LB%GfF*ESe?lt}B6T5tsy6YZRD${XB3*}#
zR&Z92i>y93v!a`?=kN+U`8i>fxY8AyajQ$~*pKz)4lrd1Af?S-=lNIMnBkRo=z3QZ
zk%MaR=GBT_2DwuiZ@7|uyIhgatS|*<tu+Lsz$5>dH9859?w=K8QI^l4y_w)WgpXly
zq9zySxe(sqdKXSxa<INpSN(-70Jd`<5EdQqp41=l&EpAhVup3dBu*l4I2YboOGy8f
z^l0cQ$!*)sYIGxeBB#mK?Be(wcMB;?k7a^shGOAk6cX^TMVIMPcqT(Lwh}LU_J<yw
zY`-rtZYyVg&IO#Fi;5I>=M^ZrMv<Uyu2A2-#G}j6wK6z`SYB{SCz6s9nmTO_(Vh;Q
zCFNc*Ahb)wyxi+0Ck#$SGGV+$Cru%-pv`$V5$0i;uPP%|_t!EG3;l}z?ZP;uBi!$P
zr+^ffb$zLovJ+oMc(7VKX&l`Qulpbt9rklq|9fj|pU}K^)5{tkfh$bMj-x`XsEScL
z(HU`E1Y0M4rRij9hz@tVnS?YUrXkwD0&8P=IYd^WJ<WS-%g=k;dmJShK02jA$QV@U
z&S^O(5yoXHiw{HNg)G|9HQGXLaX#DmwFwk4(5H-t&5QB!ih=Jin&*(1m{U3O?5|?O
zVsAB4&ai|gTa7>$tRWs8^-3NvG3qVV=&82DM-6f(DooJEJ|VR{LVy3#m+6jrA5TZ7
zMjDpWaU7cxO(|<|QAijBzN9<pZc2|ehrOM_l%Ku{W>=?U<(m%k_+p=PUR<C;%QXH}
zo*Q+*lwS7utYSeO^Y0ufjF#5(!U5DM2m8hi(SGZBF^#-4eQu6tH1>NtO;k%;J1cAM
z<uIzJcP;SzI*y50IIk1>Fdd<XW$diw0x6F+s+aonS(yPX)xuPpG1kiV6Sh>+?>LTT
zXfBii`+<MX)YyIf6*3)5m`qDXmzwp;@WT!b4R3@8M4RX{*J$iW*>{-JkJ7~;M#+?^
z<u>Y0B=cvp3sd(rYeJ9zRT{;Az{M_s;7$$~x7$K*u)*bH_jG93bdC?<wDIjQNkfD*
zOH`F7lieuz#bB-(XxQ(YNX!jCNf_M*`koi%1~b#iCy0-LnBnj}zYyr{6_OGkDzr{9
z@)LfmjsT#`?K%lP^FqZn1EJ4uJ7kn=ZjVB|sy;>9dr6YL458fb$>5-oVDq7n<j8L7
zqZcA)@4eL$2CdHfgcvy!FH0NtNm>7P*UO*aSYgeVKLqbRT_$0I!;fgCX@O5+{PA{~
zpRHe_!ts(c)Z6LdBnQG3y;pwDa~sqJh!|A`vqXwSyZ*e9ppP$onYB@vOg-V37^?p#
z$Ri|x2sg~>GY{B=AvK!2`PKC{>FeMudG0REbdXa4A34-In%SA}H2q1<a}&ozK4Ghk
zo$ZqeuXl+*e*Bp@JW}Gsi6(G*!z_i6KsFSbW+d^9L}ooP#%1Lm#tSi>+@^Rth5fI>
zW~}@Dm)whAu`S<~b+--faZT_NCjLmXZvR>NqC_Z#L2?dB(@u(&9x>O6JS>(vDVXcY
zP2B&Q=RPi_>7`GLar_&Vp55@n#@kCi7*EQr>AYb+2{uBM1m=f`!g1^%OVz7$Db2kM
zO7qyz0KO83)Dw}79$%Vfg>pRoFN82E%PPRRaY*2;GFu7$cdeu+61Y!eMCkfT`TmUd
z8USa4y}Z6h2VUN&m{)&zQxXTXj4}b;Rvk=h=Vz=;Q^%v+GYTOrc8@F}Bv(5DWCs24
z;g3*xKWHbJ!Anl_F{BcD?Fdq5PGZ>f#PsbZi^@|M4G6h;evzVl7*i^m1&z&cYl^6)
z!a0nBRzqd%_w5}6!!$u*dy4{t$n57~0|O^~*hUjGWd0i^N)0+^J!6-bfpYh;tGb2&
zYqQe@X2=hH>&cbZtnWTxzWXu!l=;Z4d@}-ZpWWlW7Kux-yXWYZog_59#y{ze@vq`2
z%QVw#)&jh(1RnP`UXdC0&a6U_Rgj7W5*L2x=256Q%_(tk3Rk`do>8bv2R`VYW`j;c
z$;tV2X7RCJwMvgrF%bcm+U=iL*X=OUswCe5xZFhJ>?+@V?xF}vTdR5_mY2u!OOQ5n
z&|#8K=(SJYjZ$Z>kS=gNqSZECu-W>BTnm5OIy3-UOnPxCQ-1!%W6BS!Y-!_oXxi@+
zUMLye2P%yKzq#H=m+B3#YR$h^$elkaleeBGkND=?y+qgamZ-?g_yZEN!=`CAeFst5
zR`%Z`*vkaCen3+{fM?qTe~1sXQk8=kBoh?e)|S*!9TW17EaKqxp92dDp_Ru!QPcEG
zS2s$EE@lj!cOAyeU~0+pkQ1h1&CE^$?ggSgl^fG%+v7s<7wZ_9oyonVY_ztAcGUFt
zw5hHXTz=VTC=zeQH_4j%t(!?xOA(N8OW2J3cx)~{$re}!m3=+oFvSTQ>vSV2r0#84
zw@B$bcAa;g()@yH^yQgU-A_EBZO!7F7bO4vK!8^;JXR^C$G&3m*cQ{oSG{NTvGfxo
z;Z>HpZ^1*npv)1LX}gYx^IZ4Agv2%nFFobNqe%JI?YI4mw7U<yB1J`n^sMOy7~f=4
zVn2X`edr>eP>?1%9w8(2`ulWi+aYzGkJz+_n!#mTtYKM!++KcWfw!7uaLnx^Gs5Ce
zZw&UP)jkfXVksAYplCv^b-i=t{6IWz?Qd8{_;V~rom5l@cL+O+Z^?G;BsJ2D4+ru0
z9XBLdacv0?n%XNdyu%B*f9=_cERf?~(}eg9HgBc~6IQ+t*kdrXYtEQxEq*?DwcOy5
z`Y3*Qv{znKL>JyY#wQe0y0T>(v`rfL%IPfs(2b-1SwE%BM}fm^sNkRYCT}~3s<do=
z!SQH!4SM&NExE~x0v_Tg+ilMkLC&6EV(%aU*Ulj(e?c%G@!W5E({G~bAb<S>Se-U6
zi2he)e@w{`XH1h{AQAekh31x|wwQH4Th^jn2O?~-@21~w1H~OGg7=`suJW2^=p^;c
zu-;T(GU--34Uu!ix(pXLK)Npj;TX_VRL2NS2(53e<kq2{5cL+%Sz~shNZI0nrS4G!
zuBccx;DT7?<k#)IF!#bJMEdI=;i1$72Q{X>h~Me%u_=)W$B6WBH*qje11(-^6yCV|
zRul2TS;wE=FS&U7*)OzNFg%06rjKs9A^yysleQo{$L!5DOAwwqGt3uIj^O6+KZ3@=
zXPeL}!_r3!*2Ty?6;BT}q4GeEnkmynP~t(a?R(}6Q4vZ1)t}&1j+z?5Y{Vb|o1tV0
z_cu63&Ep1B+!3<KiqWe1T&~$=8-Bq7<zb%fX6z;Or5D~-zL+BQ;)6?VRJ$rZq+4=p
zO0E3K9>P|ywI`O=(xvt*x?^=Md>kMBE9?p)6i_zL2W6Nc@I>L9HMNS<o;G*MElkpL
zyLvSRqzC{ydq4+gjQuREMpakK67+Dyv_6PXdfJ~y0~dFh8*yaA2g%)UMxailU(c_7
z4%r0}&y!VIjQjC9GT;Vs2&F@ww@O#ERrJxPq*iEhOe|=f+F%!Q0hmr^@*N6rQgAfl
zJc<;UH#u|EST)LC)cU$RqasjsbLQcE@m5uftU1B?I;xA?wliCTGNkMYkW2==c9j!2
zC!|mD`0zKfK>XMu6+ZlllpWJztfuDdV?ZF2%JK2k)cm5Bngd^aW4NYMd2D*$r#H)Q
zf%9r~2G@jW8E^m%p;<^vAVT4`A^^QDJ18VxXbxd^Bk=@<CBw>&^XD)6_=L3z;0|<1
zZ;BwwSv35vbnbIHEN22fiv^iZgb>eBl+kAz^y0_~OBM5dX-wEI2`blu{_WsMKi)T*
z_*dbtc8^6G3*Ioq_04UZkw}mAo73e-RLQXRYpGJq;Hev5gXm67<E5vOe(}G6C~ieR
z=;bD}KpFg2ytCA<EdW-{YBFGZl*)=#ws;m92p_h9rn0rQ(mpf>?rq9W&RG$cRU)M+
z`^k=-6Kwxe+#J5~%H4Dd(Iuy6ZH5L~!`Z=(!w9vt#crg85`K(G)wfbmR%_soyQ$9_
zWrTWmZE*b_&sIAZHeLwclMDiDXD<Zf$8Oc5LR#EW%O~$3+l6Me_Z8DVZ?Sl&VBD}e
zdDtnyQ7NopKwH1V)62OGN7z4Mx)KKZ@Z8@a<xe;LH{dm@GlyNQdRsy1ES8uNkwZHt
zbC)jLS6>4cGmb9i_Pd?TQDUDy0~7bZbTYW?#TF3w=C5$1Q|Yo(63(jC<UVoISn8X}
zAbBL)P=aJBeZ$oO4I!BDPDF3nH+CETcrcf@SK?)d81F!7lRRZxcunvm4)@=2He=7D
zVU}H6IxgDF*0Gf*IZ_@@#HypwD-y6n142c?#BHW}9G{7#siGmjRaKjr#4|8G*6bU7
ztF9w>#ej!0KE#puI}Pn$Tee|=FFun16P$Cc{%j$>3+&m44P9@BOM=v2LN|YInEeb#
zB$u7pXk8vh<gHSr{^m|)`kZ)FijN}2`$Q{q&(PKCh~1--&=w;x(-ye;HMVZHWG{Au
zEQdX-H{`x+y2wcq+6KE*>5N7Hu|2;W1#&>k1eP)x?h47+^NuKi2nCM;EHGa!c$Sjm
z`{I-oWRsE6je*pFT-?zw-$Paop>&O;8LN~#gMhein6y5`+t6<(XpN`@EIWUJ?OJqV
z#`dNjVNswwm!X2i&+SjbiT?;%Cu{0t<GZ@W;<^eQVy8NNn8Q&^hWv8Cb?NFE*?V2h
z_GJS{pH=VU8;A!Eg};m4c*j>(YECrP=>K(=H<_XGy%XbCP~~W#@yz$iW7xn)8!MHh
z4x*|AYE9#x2#Y2kksFkba;#D?PKO;&eX6)JiBfag!7$a4THKSRw`{n{>fGjf=)~6m
zIBCm`?uGgImmUj!FweA10_ZD^lpWX;hV?-8Is)H5e}|H=H<0eFSUI=-moHPk+69OR
zh|C&Vjqi9>pM9*>bn;)B7p`d8cdJy&iN}i?q0#xu7M~||^0hSDN)Jep=mCi;5BbAp
z$zk8*fg_vR&TVilN^CP?0QHWEy+CvoDsxE!hoA!0V}(^kB~k=$SX>0tTFqg0eG)-G
zBliY*<plY3lJ?Pmb!(HEFyi#e)_z@#&By){kEr#pU*kKprL6##0CXd(ooi0__G0j$
z%*b+E;Gu7hcRl|nXma7c0_4>vJlLMIMaLQc%m-<AuX%$Jm5sW*!6WLQN&2!wG4~Qd
z_MT}+ZU04eUmat9FVZ)An{m3n1sr_b&Lq!h42Rj(o?YvU_zRdk1M?k#6CvDJ(g$<D
zcK5_Y@5CAVH4N#JA(<B7p}TkZ?;!1}b|AD6&JYiFFJf%O7i`Dn{V_?&zGngmp%3%}
zu!DJ)aTbu<TDRie<)#iUtKD`>p8=*GFbH^K{E}QA4<dF+`MPf`uvu&qmpCIo=%xYS
zW}(4KS6d~-ZqU}?X;+x~QA2wuQGylvw)B0wcVzj{KGHAabVb-u6S10)_5fWR0VSFY
zQ1a_?m0e9~*NVW*QB6iTM@_Zox8X{@Cqu=W5UI068gIVu%Mn-r9_rl$&ojOKl&lnH
zvcQ+{<=k%z=U(8)K>U$BIf~sXHG>(g5+h-{bs1A`u--=tB(CE}bI`Z3$FRq%b^5h6
zhx7y2@Hsc`ci*CTTSU`rTlTLxgZH=?{*1fxwt1L>BO~E2|D9qKatU4w(1ndNsiWjH
zW4+8pwmYW@eK0Vg;9B+v%nVdz)0#bLOFbutnYoKEZ!^pm{^!oyC}!JaVy<lDGdA6u
ztQ}O<%NH;bar3%}d4oLcKPZ?*uAb^99PH}z!D@;-4!r5_Z<h8%4zoXf-@H)wW!Q)h
zHR0(oHWOLvFu$`wLs>Qx;0<^92pk2KL9q|=kM*cTY)6`>8Alg>E)}wmKb7NNMNI)v
zn=m=3VS3#UO|wHHdsC9dv$mZOv3v){mNSqZyGhKRx+5|0HsUhFOd<EfA`{xVwg_>V
zhv8#jif5#>Toz=wZPx!C-ia*R7hO{~eZq!bzG|$l$#5pcLT5_MN-c!fPe2#oW==6$
zfOWr|$+$j_qbEV`D>CS|%31zbk4tH-?NToFh(gpPhGpq#>d>A+L+*B9E`A%iZ~PI(
ze`$=bb-$v7n<#y}ewW8(*j6yAV6p#cAKKL)H0u_vHuC_J`$ws<1;7<M;PqFr(-^=V
zcXnPtZU;JYdK*F%Jp{jC4fo=@+RuS)b5RLGy=Cx0T(+QV4-=5LW%cOvmwLa#71ijU
zRN9U5CEUwoUe0QrVvLpRV-qeqocAGIYsBOze;<zrd2?DxC5p1qGMWbg2iB~A)gT>N
zp)gV@xY%nDdo=`Lx1a($KiXFY91!54l7ux2&^_DF1u<x9SaHKg%`iU2W=y||FdhgK
zWs7dMBbzKlQR{Q?UD)@?pAK#IzqM2Wy!e6m`Mjw>7%(c!SZfvyVVhy=abh%1n&Z2y
zP1<o5r>48CgjI~{`Q}O%?u`ylzm;L0{BD_h9)Uo<Fs0w5;VJ8SHaj^!OIWwAXL@!+
zrB1T^?%&mgB7;Z9U)f2*;o?TaMmwl=g2f#O+iCwE<H>2_5p<+NO;SW|Si=v1^Cje!
zLPO6mw?PLS+TG`)Sffv|s&tP(m;>9KCG%~vPG@`y<^#fKAIo!Jcz+yMoAg9@(`R}W
z{pA-5t*`Xn&b9peQThZ=PTX^HgR{Ku>O1F&78%N42GL=kb<WsH!FfiU`@XB)OAUtN
z2}srEjmO}INhHvl+vZ^$9WAWD)d;i|N^HanmMKWIL!!QpOg{nlJX%3D2JMw#?GZNH
zxDW7*4UdsHLMU)YVTB$%`-<b|WDRO?mIMP^X{n#(C6BvCXYgn05aRyVWOmG-|2+00
zZ46#wAroEcx)8!;6<rEV#JgVP>?oCv$GP}}z$Z>&%U-*&Ib|iVd-AVfQ7_FLxY(u?
z<VSf8fRE=)|AK+G$&sRXG(wY;htsng8(}zQd7eCX=N$B|jt%6-tjs#3p?b*#k5-%}
z>PUt}w;oC01Bc;06}m?$A@tg}M1*>)xb-mZYRET3{PgJfDh07Y%uLD_zf+PC+4fb`
z;e7&r)G%bMgT=fX;?1Z0E@y#Q&;&GI<KIHurk+RWI@P64TH*>BY_)j;Z6zM?4#jp{
z0B}<heE8*nH%B?BoSIg4#T|WkGmDay%$stv|589sJX<ZP6z(D9z5gg~*ikBJQqXzi
z<(L>(-4<gp4ZVhvd{cxKuZ`qv+$Ud)8r%WMug-50?C64cl1IZfaI(XAet`OBsC3c!
zQoSJ<LX>G+(Uoq@XT&6tA|67qrO2Q+`q3a`X28#(T|y9P;nVl8dMK}1%es$}&~%HM
zaiTf64VcuPvHxjXH42gJqa{ikBCE+x48q2hKb%bhqO;j6*phC>lSGU_7Q6kb$Ij&z
z^zpfyB9va@Oaf$ReIpOFF6AR=_-x~3NTNmyM7jjuC8MAgqiw&Z9Q0(7Vku9`wOCWF
zQ^sB%9ARjWva%>OYq@Rc=t?s1fRe_$7De#3X3{8UkT#-!7-vGm>-hsN5?i&lX5I*A
zHl{)c0cw#0vMn9bkECQ9X!QUdWNAQHW^b0oL7q5*-ckSYo89Eo`3A1Oe0QopqV>#m
zE`@GtEfu$8puvpJSc4R&lE<j}@{CU~#Z_afxnR(|rKE({Ge~iXez3fR7zOv0o8e-b
z;g)#JCja={X?XQ)zD|h(16!f_cIvUjJtsjXxYo_^4&zxPVsL6SvT5?D_D3QdeOv!u
zHCMKQ4hYJr-Z}bOo%X`n%K3**Ol6K}%T;057fy&QHajIp1bO%SjU!HoowfKWZJcuS
zvj`I3-rC4S7Y)=1@JkWR&o>sQw5Gr6(z$^%8M1(MP+VCmfYTSZZymz;i&tjPgx_cG
zy5pUBf&oJER^C8+NX9w5v7ki7gvdqmD~qK7ukNjsb^+o2luxr1tq<?HjUOQyEV(N8
zGxOU{u$GDx7Ld4{s_SZJh@b@IQnl*<9>TDOgiIqHA`99%A=d;d0)YcbzbStOOs@Ty
z^|UE@FJ2wnSObN9A4a?c$ZT^yc`dVG`E>LMa-A@f*-1f`!S)hu@l&=YuGhI$Uc~JB
z+v|EazPoy+?gEmx6FRy%r8zp4CMT)LoW5!W#Fi?W$W{*G4k#UYdR`#W<y}&Q-H_BQ
z+~!{uQOIB9d{377BMI&*nkoHz*{G^n^kPp?H;wv<LkC&4K;q{{vN|)~qjecl1Nrxk
zCR$~pXovK~uOw6JeY{ct7NP{?Y4fM$u>4E}_Qr^pmDHoq1EBpipo@Eyf44iWA!2X;
z0vm@uFrRO26B@h3jh=_v$o0{=IUB9@K17-c-Qp$?xSC%RxF&MtaHgOB1OsgMb>X%1
z_s!9`(Oy`ZiB!JM3qQlb+UwJkOy{%BGJx++gaZ4q`w8UXw{?+oFrS%pC-$>a1@V*M
z#Y9(Uo|kFAbmzT>iR#{*IkeC+cgveT2}?ZQ@WExR$ojA*Ur>&btiGp`PtyMsjxKod
zXO3z0`<Du*Ka+FQYMr0p=dFUO7_1~|JLY?jy*0B^KelLpZzcB66kHC%2RVAwudY$0
zYQvCb|KImou}R{Y8lT-2>^+&+-EDDmfeiiC#X-su5}l}3^;+sVp1#uKU&upgTtt%f
zi;FzkC6J=1hz?2mWFqIP9wFjM{%h$E1B+xw(dQ~Tmrf+Gslupc_<;u=-q4*XD&qM&
z2*Wxm(DhQgkr|(m{!KkX`PpNMEra7dyuO2fryrxV_n3`^Drvc$F#{U}?ylk@=(VSd
zgE{2b!TtrSa6UY7EJyd??1Vpnc<bB(c;x6Se3%VNR!!~-_2vjpVHLlz{od;<c*SWr
zEZs>LW(Mq#3TYk3Qnw4gbo7u`#n3IEk{Gm=+@9kx-R<-anhO?ZZOHK--nNEg%NVSD
z?R2%`b1HTs09T&{=;L-21K&oH`O!!o^7QphX0Y9J{Y>LHAFhs3X)LXfW{O~<?Nts6
zo?7)35hsfOp2MhDc@9ZjU!`Ydvp0o#&N^WtB(g*{8Bev-<<GyzkeoW`oE<Jp+<&=v
zqG8^ilKJh4490DRc<v|wWuFYa@pox<-{{|7ieNzEjzm)Ayn#p|L>up}+G72W6IQ;}
z;<epuQ$YAmcL6S2ZG<^Dm^{7vzHi;-4~E9h*D{*4Ilb@0D@O<2`(O7=1y}{tqg_FR
zWF?zg=~%XLx07x8OeLX2KdtCL)Kz&y$jBDiN9@nx=C!`x*D1ta4Wz;}A&jF!wO)U)
zcqDNV2B;-yp~d8nN<F_H)U}$4Ec@iE$Y#GPP+=6FWvNBC|I!hxxWbc#Bl8Bqw)*y%
zaRNHK$+dPh)I=2a1Nv!$5d&b_<VcR70eypeWA4QLM4GFxF)-HBijy+Ao6Z}^tikxU
z^`4J9PRnvUSI!a2Ow_hGwj+KBQFSYN<Dybi*SibMj1{;<2q^{9$&R#bwAF)x0=YRN
zl*i1cNB*zkUvr;c6Odm#)v3rST;Yo3!LZ40$(?UDOApoQOH=^WJtu=j<foDIK^GCE
z-5MzX^<Mv4>%;V!Fb6P7h(dIGDvZZbz!%#jFnjkEchk0TP?`UAdf>&kz~!yp%!3nb
z*shf*^_B*=A$)ALgcn1JQg%oR-#>K*9pwq0Y!0<)x!IqyjcqK4^ivag`)8~zS81K@
zNm_5}(;H=dHzimdw70cWQ||XqE20oZcnDE|n~jHDn}M<k9cO?*op?xJH!=tGtZ@}5
zb%7NzPRy(PJ%?CWA346wZ2K!Pmyui@4kjqxwk7tuD6PU|6-pNYz-EAiN&%rO$%_SS
zeIPjQQ4D>MDZjgiJw;}mRnIyFqoq`S1X4j?LpHr=N0Qm=Z<jB(i9>@HFkI<(^}eiN
z-K(W@Z1IM~g>w~rs8to>-6?|ylN<ai>55GCkF<#h(A;uwcD^MUJ7LM+4fogqWE1U;
zC9HxL8+`E<yK<ng<1}zU1L-;iiL)vB#7ugGd#mqkLE{6oO-X3D=)@L@1BH*D#0c}a
zoahMdxp&Bz5aAgQ1L4i_6)8}x%WdXU9>b_sHO4rU8105P<5f7AN1ylP{wQ|Xvdnz<
zZ}zVL%xt&gx2~UFbs0&|eNRBUS`=*MiI|+c)Zk_CF!wQL(0EwQK6+q0gh*=ke<Kfh
zBKfdz5bePlA9crcrVE%psR`JKw?8KS@t*oO=$9NeI{@*hM?AE^#O2Q$!z=Kf9)u7P
zFs3^+b(_<Dvb7Hy4mKNvTioe9K}qdNwwy1U(C)ki_TSg}gzTd{TC8`Xk!^H`qgeUh
zE<&GBz*Kxv%Gi7Kx>Iv)QA3D$-Rffmd1c#LA6Y~GmGajMWBNl}fUwlf8M~V5j;&5h
z_-WnqLC!C#<~VX^cHk*d>zX|1^d&Z;lLP?ee72SuYQPF$joY9TnoV5%a#+_Dlr4AS
z%nQjQWS?|L1f}))m)&iPBd{BUTKrXz%70ou{|<dv;*UwsDLHYh;+PSRyMN*KMpI^^
z*_&Vp1MZ^2-V&2?<osOe<!Ic+lgyQUeI31=7l}5EdpXv|!vY;GwfjrJS`5HQGRKFd
z@Zn=_7#bHuo5mCG7g9&E*P~%XBC<$D7Fd>`)>l<;Ws4Z4Jk?PH&-U`})?<_lMOLa<
zN&R8F%;K?n-!Z((mucIQmV32fw?-eObiAUzC>QbRYsfW44B^U-0@+ia=sk{hR`Z~@
z9Hm*#x^s!Sm7h!Zx;);WYbG7Fi41|9XxH)-E^1B^EL+|P4q9ttC^jcj{H>|_fz4~w
zOZ%^`PG+B@JjYz<-%0)s&9*e~+dBjPP`7U^h98Rk+79%(z{ITS@|$SDmJ!Tn4q^?z
z@?UQKQCM*N34+fAtaF%Z*^8Y!n5J&*A2?9}Z6hkq4grlKm8IDD5}wjqrs5DxwVdXP
zt#J=bgLkwWfZ#=uXP+Z6F}>#zE$lr}^-IgWw{QAe_{cA+@(Jhx%=ejjKXWHlH@#)f
zC0~k`Z6XY-{^zQ_FK0kvJmj!mpTI`+6%@-F(l>*&a3@7PdIb#OES@>P)z#j9W%;B=
zo^EEBq1ZsL$)}MfU^V{%*YWp(!{*7ZYSNUzbjY3NkDA!h7tU@p(ql51)m^u^{Y(-^
zJHHT<TcqaZf=8pQTB@KoR?RQJ!(k+L;jsC!t4{=C;o_tSO6TAief~`1aynt)cqdnc
zDX!ddIVO@L6%Y*nYKf8;;xweVDIm=&y@0@}b9QSYbo?RrxqvYGiTxZBY~RG-xcQNm
z%N#VB@8MwsdcoUq2Oryuvk}h-ODrV1%UW&Jg%x6Q7ScH~<pbm0J03^|yku(#AdNou
zr5o_EjkEX`Tq|{6?|iXOR?=CXC!M$Zm~d2zgOc}t%giOz9gVmm;>Pleu+=ZG#23W2
z7=_$ZZrw8*+v0mYq^D6;p+r992<OWGL)BNXMHy{vgD6OeNViINcL_*$BP}H*9Ycz!
zAYIbZNJvXFLk`^`4MR#ujkM&qIp1|1&&xkx&wln=>#n87R;rr&>+1K%vw`97d<P#^
z#2fe!%@n4wu=JT{QQle4SqXV?8|4otuly4$HJ&kPV1s6N`NyEL&47OUWW2C$xetaE
zA;&;z532+Lg?3a<OvyWFLP_rMPvx;m8JAXpPBp#AayUC)@AJ_$A`wQKv-*|Y#f$Gh
zM4lz%pN#mc5dZk>*Wo&%bgzIuKU9asWAhw?5Is-kZ5oZ*HDMP;dcq4Zb^bflSYm}A
zaJK~_#pS;B=<FOo0@=&TIudtN3^)@!t0OwNVZ758g<HG+TonZE6R1k+%)OeLxjk5U
zBes}^pGU4)qQGgs7KFX~y|_n)kiaXL7VUVKeP!A=?GFhG?7J*(A#kG}UeVR2G+fv_
z#}%ad@bSUZftk{{t>=ty_*Sm@j;ey=lBWCAxPQjr{%GXi91@HwBpqYM{iL=5@NyVy
z0%9b=9c)|Y-|R@^#dZTc3^hpCGqZz<#=+zP)$VLX^kczyK4`UDjNem<UhLbG$YBaL
zWppjzwC=QnF;6-iQFy<FXxdtJJ;=gkIu!Q1e1a7_%s2IAJ0A?;Gml`^vDlba_!JEk
z(TpPP)-Si%#HS&cWyXH8@-7z6ZY<JF8zE2M##Fxlm`<r%(^A9D2=gve(f3@#RV_zn
zb>*DJA#n?p_@CEQ^R@PMWr*NLR5^4EtMx=go>6!aA`Cuypc0T~5Pk0d6X!rG$rjPL
z0=9*5|2>W}iE-1>DGyK1BfiT1ezkr99xBB(`WKH5s`z2H12LH^G&`IDh0FXWl6&b?
zzFg;5x6BW=tc&$@3WzXnTs~Ry?tZQpeR5`X*WKgulragngli|cNUJU!`R~30{QHbA
z7?K(;wB8);MAUXzL^XUY7!^Ik$Yd{7eGX%tuobQssETlc*%3fl6Xc7D4!8wj^GPuI
zPNWlV`8b6(t}nVqsa8?`A%8G9;_7D1vpy4^$Egvx2R5vTMcG#yL1X*M<fd#s0hWsd
z&0CzrO!vP<lA4HjqjhT>+Jrj!o4W)#qKX@syc=>Mo&8%tUS1wP&^y}L)Ir{7>nQTW
zhhXqLklKExTt+DODPA2Q@^-DIY`#)-_*`#kR6zAt_rG->+jkIz!*L$}_v$Wh#eRQ7
z^qMAChWiYzj@J;mtCCRjg1yxI`|j%<NayOq*^JAt-RW<A1+`TnVJrL>$91ystquc@
z^6^0>QzB{}{`+Obt+S+DsaM2ac0wr4C1+Fw&7y9fk2zNJydRg{D))&pZ;Erl<g%KN
zzu$Z`b}9I)^+``}vY^dfpl+&T=opLw1~URayO?24FB%*W-H{uMdv1oO2cmbPLoo2u
z1o-OpB9-_ozDAX=sLC^J=yf-neLX5sJJ_`2oPtJY0HWz_*G{iMpC2F2!OC8DI(>-u
zL3<*<6(wFund7vHd|P-Ro-aljP$6<yIkaYfe!z}l6Iv$q0p42uVuuDO5t<_`s2Ap^
zDSwtAmin}{Krh>G7nc1C%V~3nVMmsL7aTlV$XCD8qLWyWw)|i$Uw22R$DgdW&_k(9
z8zPH}p`O*@4`Ssi>$@frUyb-(t5PM$8NVB{@~!yqIioB;eb^J9_j>Fk)waXIh)0J@
z>k&JUhhQcCbg;a9+3RTbW6wLsh6`qdTOn*-bAhuF^w-x<yIko7(`0x^vn8G9^m0!h
zEToH@>#nYx4n6WzJ-byl_0ej7m;WvbQEXd!qt-6EsA1CoIV-B!5P^*4Jf8}q1nt&L
zoXbc-gd)R{UTtx|M}v|(KD)ofMaZ;U*-Kic@l_Ds6be0Zm~eL>$Q&U6=sm!ez4ZgY
z1MwdoJbJnRbJCW64t+R|Yx{cacEX#Y7k!rLNG&EkO^<~-bR_!AxdQsp=SK07=GaEa
zzgK(8Oe*3N2Jo^3iSwUzwLH9}d{1d(31W0`7&^Eq-Ld!0WMXtk_DxrK;*V5yTR11k
zmPYb0gg4H8yx`VpG!jFf2gu?A1L^*cEb9_0^G#;k-+-~(qvadxDl#orl~V)Lf`m-F
z(mrkN?`F=TvtzIil%Zl9A=5vKK(9FFTUafq-Zh|U0gt$$D!W#neKLe@*=F@8eF&A8
zc@DI-q~r*xvtHWkodh?8;)B*{(Zl}3o6fR`r2)<)yKi9DS`mz`@ZnoAjrK9`r09K8
zSCFt49KI{|aUwFsh*9DjafZdqvgR1<T0(htw%ku!zW@W!n5cNhA^-zJKMexlqJ}o_
zSFVi!Lq~$+?4^XLxvx+6KKY|oLxg<W&zUnJeK_an!$aK;X?p%;>X#JeeH3a&+15u1
zda(6xEfcc|w3|fCe~snz`X7cCUOcBzgb%3ceN<F!d*7jlDHo$TvGOq@00YB>wQ6?L
zl5>=~zl<PhyVKh64s`+$OIRaM3tS$@V_kn0@%U1~Z;gH^r)%1bcRlOgzgsDvvL&(~
zsxaqKFita??p#J?ET?74IG~FOK7d(gmyovrdw}ylY?S{GolF7W5lr{@#fIW-ecP&f
zo?Pail9xLypqn1hw>oH()kSz^bVrExQkZt4tx-5ae!*I1bDA>c!5k1TqA1KRx};M(
z8|{KFIEN0$w!&p~WiyLE%eddNW&o2hmg{^S-~>jhLly0p*kejS2Q;u);$EWNfOfE{
zSSM6X(BASD@o7bT<_`EWhg8oY_Z1J(Rr^jV!Tu_Zf`r`1^q{EfYbKlhp25YLqAw8+
z5QcRk4bg}R31`vJhc2O8oS9CsuB5Y{Hth9^axNG7JicP^+zbC9FrnZY&Os66vvHdu
z-A?M8c>#p5HS4veVL)P1PV#{d!AGDvm~C*6%4p)sR+x5m^*$n}%;);wF}lzx>efn+
zbkSvzywT~hDNNqm+HO!`WY<~#)5K`$JkzeoON#iw4IaTblT}IpO5F~Q#sMG->~msa
zkstCCJMN(5T3a0qjA)M$od6U_#0nMi5e)}eVL}aj*<ZgL4I>&uBzpbwg<MMx3pWOg
z<-DLJiF~y4rJr^lfV0Hh`bw7w$5-At&v5F&0P5rNKU#qIym5L9%3J9MiGxen28pG!
z>%pQfc<uBa8yuFaK=c`^5y%4JDDN2Xn<;?)3Q=4cpdWw6M2g^3K*Z9&$`!V%Vj~+>
zazC&nWFjthz32Qsep=$@{dH|a><@l(Mazay^_}08U4lODdoXc`Oc?0)e?IWYy`<6;
z%kS}qR1XQFP?DZU*GUkl39Mw8hC$&wnFafL9uA_~oaLka4Utynb;$+_Pcl)r#cp<l
zrc9!J%3E#vcfMCtQ9+*V|06r2(X8?Vgp*2VRLBqIRx^JyhHJ_B1BLN>L&%9|vpB3(
z6+Blr6)UnS{=Of~oF5sC2<TRqL5huW>3vJNF4?++`UpES&rrVe(c~k<Uxo;p_<C~+
z!|s%r>tgL_f1M|;83_{s>?dn)D$Gund7+^6pkVyySu$!bOT0Utz{Yde>FO$dN~&Qu
zmK<jPiLr1czI)|zZUt5SL_bE#gqyP%!)8>;5&XHn;9eGpM|mHFoKeJko8db9(mRXb
z9PEz+CJ|B%vZcq6@i9RC%;o}TfahWc_$Zz_z1L$4$bCv76fEa3YJOHYgk(_Ws}8B3
zm`%@HCt+rO6cw@bNc|-4K4S8IdRsbDI-1U<EqfwnPiXmd7SKL0$d4M!Vb36-{9Td9
zbF3ni?$ytq96MdS3R`1*wYKoEi89C13Hhj?zwRFu*A~}ZTPx&l<=(+-c)(TfzLQ_*
z309tGD=3no6@-1ePJ{ue$-d43gA|Q1sT7Uic@#ry@vn&lu{t8o{qB<0=B%x*MIiZ$
zNB}Z0YJIrT(MN!rEMC<X7q{Y;eTBX18w*o&kZoDY5TcjNWTPORO?e+^^&;uT5ATH9
zG|Psh^PzgrhG^@7Nv*OXn3~q0Lc}D{z7Jk`y?KobH5m`|*4`EA6NU1^LhCh-TF4P=
zN!>tqKmCjt4E2F{rkJnx@x(^7wg0lH<b>Z2k6GhgHMR@Pmam+=Zg#-jnry9IXL?Xb
z@qNs5P5J|leoK^U0$slXPxON@bgK|6v|wD$ee@EzFA4hqnZ1~KBm>MA&9(!|8A@e_
z3Y#|D9_5!hJtyAo!*=ET??>*kj>%{|)~UiIArsD9_<K&4!0GHqGtlx+#7h%Nn$i1<
zT#(}&yeBgS1lzixL4YMti3pqXqvOEcX}{I*sdvF~eG-EyoOcvmH=MUjxM1=K<Y`mr
zN4&`;X2|dTsX2X5$=+g`^a?lIKef|Mz1@77usGyud=R&{kOU^J$qT)zC$vO#ur2CN
zhh{^yfqsg7A{AXs)r@hCZ-$D`*aaY=K(E*N+jr{g{)l38#8h+1+MV1gctson2OY=i
zQx<dA`+o+q(m9D(KKa;77%F8kb$<|09<{)(x)HRk-Tkmqi;laQ#*ruK-BgU#RTQ;&
zCIiWR*z_GTvr(AeE~vn_`~m>WV{k&>NUXQZ#no`_0AniMf|83WsSxUdG|_`t2+oMy
zXTRrR#dlmLTEH({gp`L=Q8v9vG~QORm-QlAt;2s0G{{n!?|mrqcj`V?k5%lUX)w+0
zRHReBF5z{A55!tNx2g?gTf-MK-ZsA1oW612G{O1jZ{DXajW%_^$|cOTTE>1Ay%g^6
zr~LL*T@}|S6gQA9II5+!eEe%21ME)S9$JU#Y$Jl)r+-hPIc5+5Fjc491Zl&=jNqQJ
zFd!f@Q>{pz3HEFtpqxMATT3QHQD`?LC7CaMoRymMu~0={cla|_%}<~VQm%mkFyte#
zB6YvGgZ9hq8}V632;(@=?0M#F0G$(1JH7Qo>?tEk_q(CfOstO2ea}9%<Y_Q>szMS8
zv6ScJ%+?;V5ZUGswQ`%-!M5~MgXP>cZrf)=BcxdanJ2=9Mf$dMNH`4Q6iz9h4Mdv#
z3R=TBtsCHGa~YfMb#9JU8#dcF-MCZTjdv{-PEDDtd~`@<&$xg6`s|)W2*v)E$i)wk
zQ_FF9(t4w$uQtGPFdfepD3C{EBk-@*_k3}26rnux5QPefX!>N7zF=q5I#i92d+y$o
z%vOvl!v(vvfZQ5$<HH?rQY3~0m5A(zb&(WJG}%K63;<1Bvx7+b%Bl6U-qKf;?gU(2
zm-Q!LNrV!+k;T#4K0Qh04Wvg6x}~Q~$LvZl;mO0S?-K<;+powX16H;vtkEAYX+f9d
zJk;8#&!}ykikAbpCBz-K6e5V53Y)coc$3=-2Mc}f7@$7_v(4AGfngD-%jFN(K7p3b
z@WpJR9z$iDWA6!rqSWkb7d%-hNsv~z)7{u@@8~WdpzSSnaE}bFFlue$K(hReC1*d-
zCKwu&%RWn8|GQP9(4jo6H7-O;80zEgC-Rd{QF3<Y*?Y!FGU5<T!uQc$^=oJ%Kl6Er
zQat{9JC|pIG5S}jmy(O!3_HdYm1^USac{?#kG>3g-gQO9JbJ=pO7PDh0Oytm);@%X
zK8P-<w#I*1`I|^w?<#wBv*d3h)(sFBR^FcM`P~u77&eeU7iu`p(7el!U(cH3^{=G?
z@H|pnA!lary_UEzmaar^xWh#-_H8A<&aMC7lEx1M3V}fH?|+o|+)yJo@r&*KH^09b
zfXs}87+_W*?b~_f8nhx#cqjGW??ukd2td_OoPomMpGY?wL`oMI=2g6vDxtNdJ4r1o
zU7_ckAo7^K@+CaF`spvMPcJmDq22$P0xXp8`lwS9#Ao`{lCI!6w=>=T;VrjM3#Pi{
z`B?_5wFvX1FMoUroN=?;MyKx4=H~vZ=(jdIj0)Dfc6uAW<*ie0wpHf{PXXCEA`|bm
z;2Djwe-w$(6y&*U^6BCpK<qZ>rw?nSZ{X=`%1OnQp3kk+!c2C3o`ni7hD>iwRM)1R
zFtqj&@)0CNK;8zt)9SN?{=stN|CzU<zZ45g<$;0k`Cx??_V%J4=)MvT``x`OvKn-K
znoubaegQFcHV1M9PNZu0e}uD#ki@hgC~Vhw;>`@p0o^WbXi!Q_G#0$Ek8za6xT(j0
zJbVn~U2=WcWp@&iYN^BhE@bW=yHo<Z)!)XyN-Yet@6Y^?h>Ut|jwk@J5M4P*UYVV2
zaEOj;#|sOrUMxKDINc~IGPbr()iW+2z-y2Qo_z2Fjl{>vez)mE^}tTm`me2*TZHt_
zd4k>5nx6^O^G!f~8x#d-+CQbe0h;lq)@+$5YW>;!rdQhjMQgkRu3Z0vd~kolNtRtL
z&-^pYV?rb!by@nW_%Em;(b+!FKPCt<$OtTidskbyHy!U!RrOqtLPI-{xp;;F=oItj
z(}a8!XrQxb-{nocDgZKFVSD4EzZgWf7CX4WH(Sjb3UH?PWQZhis!OX`;~KZ|`Zw9j
z$@a388MZD3-aY{~4rz47SSf!>uu$@6c5(N@9UCf|a|b-efkO}6z(QL^%qZN7A?MCh
zFYBwUW2ZU_M9s84Iy_yX&tYj(4>s!nIpawj1_wsEU3>#fU<TQb*Fif2Vy=kHUSm@#
z6#SW!nIDJFhe0d(Pj@C;7r_KabfRk<!VVt5?vha_>RvW0fsD6(2E(6)YR>(&Rm0T0
zjuO2dV3_m9MWrSR&5IEKMn8!9g{y8)_A0AGK5%hybh6{M)s<gu+{fhFrc5q}dHoj!
z|GJ$X@@d14YNYj#|ERO+4He%T&WN1*-%GZ&>2ewspjI4t@k@#UNsR>uAQuoB<$Aa#
zZqQ>pb?xxxdQ(RO4Jh`ZF5&9O@Fgc7=R>15BsDG^O4SUVMA}35vtaZ>-kZN$zla^5
z09_1^VeIcV<&c)V9moQOT<d$s4=T?M!$-b4e`hYF2mdBLpX?I|r{r}0ZW+*rOX6@|
zEI-==y^Ua$9n4G-;ZgX9nj8+za~Zfp-Qs)t{lA@mG1SRk&u9+lYO<>Rq)M!Jkoyqp
zI<O|#)KF%=Z2W2@MDTOoQ{&uM?UM75FeApmnI*Y$x^uO9Yhr@+qkE|+qCGnmsX+R%
zKm5xg<FU9%&JHyznMs4E;{t&yL=%Fp3OVbz4TKibMq{O|ZqbPon5@k3VfiLop1-RS
z))zjy{O8_5A$yjV5_a>RUQ<RN8`yT51Bx}6fhmxi+AEf2h(OuPuXoj$=fjFBbcNmy
zX0VM8<_<ck>Mm#M)96H=Rk3d<ae2hX&dxk+<lq$5;eL5}e=#1k=2l(M?GG3a<aEt>
z59PC%FiD^R;jbEyK`AW^49mC-$-UjW(Na?eh|rTXmdS86yK@tQ#eAXa%`5^4o)o#W
zFIa+2e;|l+(4vF@Y`Y#8Ocb}iJ6Yv`(!_^Ftc*!rk%*<Z01+Dfbic^~+mIW=OM8>i
zck=du$t|gOPQ%u<4$Uxm($Swm8AC2=E;#|ep~8JvFwJ4D+{3^T*%4ucA|2@sLBAiK
zN3eMCuHlI~@ym`lgAOQJywvvcV)e;o^pp&@x1~30`1A8K`{diT?og4Hs7^&@M|CSS
z8{hwy6_g(0X`Vn8uh1veG7~h7k)_70z519(lUFy}fsT;mU1m7+Oa&ARvv#j#ep29)
zv`Hp4J^j|cUSEW$UuP~hPR!P5AJD|UFupd2#1yU&i8XmjYyQnROeUyj8Q8G`nhA$o
z(Ny;Mwh0g|U0v*tP%+a&d8#P15?+1>0rqxBj)?{h&tunD5IcP8vJb4%(*VK)D35Tf
z2><P@aJ|TbJK2^5h3SA7u5+*J7r>Ul*&Q^@j&u?WyE8-&bu7xu`<LO@q8iKV4-N3^
z==1okI%iwn^HG>y)I%R&{q~UI4<$Z4n3N+x{48TnoC?*`5|ls@;_`2eIohAp<I)A#
z5BL-$1*h0<_UYmbtk9MYk}RoD=>uWGNAA<HGNF^gmy6!=j>Z|;Uz0plJvgd!IKw$y
za6o6#)BJSezXHu5OKfVtH~JlzSFkH!kZP3kEig^1c*1jVAl$JL_SC60-4L}o9dRF#
zzo}|{aB=$uwvk;nGMQf3Sq3@!sS_Q)G`eVWxb4co$uS+N*L{qd5GdtrtndM`7&rd_
zXy?%vZ_B(}?I6IM2W%i{)r$2IX1*aKwLgI%i}9D(!pCI%<T2^99{~^W?5%Ie@1eZw
zQL<pDiPm!w{`1DtnT2%w6Er#8_E{3la0Px-xIY>8skSdad@*T#5$yR&U2yJ8e;bml
zV5<K!GfsL)`?Z6fA|itkNln#v8G}#a)EKc-lik*5ZVBC)lPNf>a~fyN1)TiT{J(3o
ztVXduF|PV77d)3BbT2wsgYuW45s9Kgfjs9s`|q;cBdHt8#&U<Y%iP5ps3;hic1Wcu
z;EvYtM}Gjm?c<5DWT5jFW@jy=2aJ-aw%`5!!d>i4TML_sBVUT9{T#GmsDAo(^S|aX
zXxCyV`##6d1)qB0RGWt|t1Fr`1kB>si6nDDYPc+9IKdbgxkA4P89N-uW{{7f=QK>R
z>q2iGBjt+wX|mAdJr;yeRK5rL$PdcP*99wkN6YkcnGGg2t`*+v`LOtTm+kyuGlWN~
z5hL(sRz6_KVWEnh{3u{dcWEOmFhA;fkUU>|+v5IdYte%LoyhO6w_@9-^iRC}1K(c6
zt|J3!qr9I3Hh9do3lPN65|*K!4y2*rw=$v%icx{xaK%%D)C&B{czpv?#)(Uusn|F^
zglfVHKOJq+kWhGl+0yoIpEed&VndRjFs*c}z*;iTGDMokJ#VLh1ig<!mZTngXmYFO
z>TGX^Qm)&f`3H=fBwR*v>-fW?Z7m!|sXVv@MQ!p}Fi%Fqz}Wv4y_VjcobPAq%nO75
zhmDbJW<w+Tn&J}y!}Pq|u+vJS|ICc;ZT6=zsR2pTQ)i9e^H+v6kEn54`Pf#!l2|}g
zBMeS{lN^K3J!M6;93nq@I9-f5AcSd)FdJq%wF#?ocAKtga(*?B|LgD&<%){AIl_rg
z_w8ZU?-Brmkl1x~89qB&*{1|nnP!odzhY8NfA+O=Hqh=wNucnYapE4hI(1#Pw#U=j
zGU$<1gqBTZqn6!nY;kB{yHAp6GNqK{rb$S+-H%G5ho9R>ZHSX2bWrM;y`o+o<R%L)
z@ojvE0J7h@iDjkPAudJm)jh!p629e>m2k(fA01V89!~_k5GCgML?=Lr8ys9!)%Y4l
z#`k^^!zFdc;P8CfyUuMVU&n!cyBYi6Gx-859!{a!@M<zbp7;E$+>P{=PX?PAt(FI$
z>PO_(QfE9>8j{-aQAHOaDKEw#dg~v@wQt5^oh-eR8YD)}qyaXx#gi~|X-WPOit+LA
zv!}QRrpNo5K+?P2CJIe$+o87St;veTR$FL-0M){sHQq|hR^fyJEvVGmr@GFbY2&6C
zHLD3IgqdrL3{<x_<u@cnH}wmNrx+Hqs+vw#tq=h`ur&b1Q`7fBH>HP8O%xGt$q_(m
zIPcu0>;_@au@W`$>*b@aQJmNL%kmoVrxm&Vzd^@W7gWuD&JKr0@R@2AkyT)voT8M^
z4CZ{>I=K1iLe`awCsA8g>L=~W^d6g%PsmwtL#ois3eDU9QBQ&D5u6Dfe6??We+SP?
z?X(Kr3T{`SV!U&=_xWdhwFZssh?dJOy-&fRZiZ95W1nuY|BrOIm!)#WnlY>T?XdBH
z>ookPPRr1@pz8YzcIlCy1dah4Vf3Pg&-wtkiboep;$UpqW{#CcgVQ>wjr~qTH$D^Q
z%ub`SMH?X$>izQ#7YFGhlSc=@7dWrFoIy30HW&eNhUJYy%m{bDMtYyFNWuX65kcJ?
zPDfj+ak(Hz#x#XtnUsfVfi2oHIL={mYymFr?;GYOiyIR$In&#AX6q^Mya3lB|B-s>
z!J$w-1l%6ditiCX<o!x8c}*%^+}!Q{kj#FZKYy!6m?$#0DDP%Xrp~vzuf?jmfcavM
zJSfMLAPMGMbJH=J8G2K``n<{b3y($UQcW5%TOqM#?S2s22dn6cQor1nYYYqH@`9kP
zJyP8=Wmp^Sm@Ue13<>52Ip$uYmdwn&lc1-}`36gJ$oa_Fgc?Hf?{3~;AD^ql)4Gs5
zJBp;GxSrz@iExJ!ldu#6m$=iFr+*(0nVZUe_BH&0*W55sD)T`R_>QH1aKp|%a^YcU
z(uV!{11#ebK<^~H#(($GV|kKuOEn@E?)MUh6A@opeUb{~`M%A09%s!@OeW6`BZy9B
z;`o8!B+!K`_o0<=G0RX4Mkavz0aTN~06So7^=%c}lw|z2clF)96_>LQUjhZ5etJik
z-&yX#Y^Y6M;aRO$?Sr|q_$PZ$Pu?;!?Rkix*$~Y!&TPlIykmR?w+Sj~2etVQF9w^<
zt`9CCpYGfk;TKgc<gz(;eRTt)Ct2V516(1!Wr@nL?O!Pv?>owz-jLKkVnn)mKrVKw
zs|4xb9`pj(!mvv;k;CeJYtdxjh0F(iS`O~C(qQ8MEho>@QZRdvl-pm}vAPy?28cLl
zg%@?Svx%9P7E>Rl{xR5!pTrjcyniL7X~dHKG1)9p_3!J9J2_W-Pi<OaqIkI!Q1c4f
z7;}+cg;wAl{NaN&&zFx!^7=H(SOKm#Zh+I1@fQq`=Ap#NV;!i|J&|UDDCX&GJuW%Q
z1v}ItezyT<hE;lyCe0s6>;CGE<3Lvq|J38k5bv9#d~a(Sqd(N9cOniuKA0Jiy;}Xs
zkVqf&T6*YV&3pQfdwXrWE;-?5Mfkr;kbJF1R8i4Sql<Tex5AigoG2(~xo4xt2fF)3
zfDk(>6-|%OKUZVZk#=9`c3GREDdgiSlS&3)Kq$qE8S?<3bN7`%XFiG60`Z}L9^qow
z43y%Axm*vGcYiz(>6*AZ+g(oV(f0Su9{$IwaX0dS^xs{yBHC>r3$%X(pvn95_AL88
z<?l??1{$Kq#prdj*Hf=82^wBjUw<Y;cx*3TbHUJC@#|MljF9LO6Fsx)K8{tL#t$Ub
zRrycFx&t6+mLZ=suY)xY=1TxF<Hr?J?@bYsod4(42mMkE(%d7?=I^ot99Wrh9|_26
zR)HiXr_<4cO0Fr$5o1Z?Ni{F)DZpF`;8EDhwYeLJ9_*~1P5q30Nd}<LuADc?Xk%_J
z(Y~~U;1wzH-q|ZchmjWVBlII5*5ukd_k;3Fc+U|sdDTAqx~7@dyq4otANn>A%vKqy
zuI>g=ojE06B1hy1VO*Pd<S@N?xrS<aerw=b_dY2z(rh%y^1(hDG<sNsWEF^?K%IfM
z^DsS02ykg(Oh_KJYb4Bi#=)~D>fia90pvOelt;5nhiAn!f2Nzqv=01Vxx1*Ms+7F4
zdMChq`t307I!|?$_KkmtCeMVx{HX1&<airo>>(37UfQ~8QK$)HJ-()OzxID^dXyU~
z82%yN=|s=!TBj|B7Kk^QG~*pR>3y-4!)cPg5c{y}JAUM)_6T?>J)8dYr*@~g85RUg
zlZHXTOON@`ie&3!=LySNUl@ktpLZmF>aOBsesF86P4bcm{?#W@4NH@}x3j6ibTj+0
zivXEZ5j3p<*wbztOcbmYJ%r6#Lt443og9v>WyefL%`sn%U3~Tf8+d>;=15m3)3C^2
z+u54H&-IaWZ*bCDgND1W1s8P5;)KkFYeR6JxMwsRcCD5f?!7;3{fIqLBF;I<mcjE?
zjtFa|*_AaqM^o~r89msRR`;YPu;~MGNiidTqc2KhP^M|Hu#<xn(HtZi<Jge5vnBj9
zD);ll`Oo*8mu3QJs7`@R^V+OHLjx7#e+=*~xMZsah&J3ptC(NbBHQ5V|7H38d&k$0
zbZ4=zZU6F4EfWXC1}+$;?ro9NuO=_25Q%x~o8Mg+oHN7ET-Fm^+uLk_=~!F@TvD6L
zr6^oy8Ufe`@%?A*AJPGXo7v#`XZNkKXfu3)y8HUaq6X39UV%~JzUZOVXMeVCS3Zg!
z^H83Fp`4}Ax-k8FIR7d@Skn!8ocUqJPIugg^dr!!vI)Y3k_F6vR6aVh@so**@7D&B
zS9&GXrZ@By2k2EZvhzY<J5fDBNY0Xt96nfNhg3$x@?;^kYe|a<R(}aC{xFnHhY34B
zj0gTS7dojNLSd*DHxXu4rTT&k=WS2fby=}7tJtE(5Cby2n>a*o)wIU-A;a7^Tz#SU
zg)WXEk2&hlDn69mJPVMxu*cjnQKx(V=+dLWo9N#I@Pm*iJI?p-@Xu(YKU0c_x;k<3
zJm@&5vDQ5Ig<%+05LKyNFW1xkTumA-GUA>{36N;?JHb9&b?ujlWAp12!Bx5?*|k61
zFu$=o80pkc4rn7lbb~lzMLjd8e$50NW?)5ri$2f^7|Zcd)XEd^Iu?sCy~4D@9^f{X
zaHZc@Bi3AS30*yBlRfZ`e)nSYEi<h|7YI$!k^PWTHV6aMG47`{JYfDXIShm&_e<7?
z+(6!WA9PxJ=#>-Xm9qoo;iEj1wJ%Bry-KFP=H&qDhPTXTWHcI{{94-(&h<gqoUWbJ
z(2gP?>c+PvH-4a3sAiO^s$%(zI38gs%A=rB5rN3!&1@H(B>*JYtt}`BM@5id8<-7^
zg{3ta<zaIA*$h8nCVMXd^F#A?H>Vf9D9B@aPMBqrkS88x!VX*>N4S$Mk_BVvtUJ_z
z;G%r<?|9G2kC#<GJ3i8WN-U|KS)Slx%MB_x^8-BeEcK72r=u&qD~mRG4UPhLPb(wx
z$4P1w>hYufZa?QO+34_o%~kN#WF2--y-n%)1VVRw0qp}v27(Yr`4MDKV_ZyiR_5<{
zfT)Z4C~E{>K1q)2r5?z0#6qKns6coFw^4!!9kr!lPizJZSO3fil{YZ?eScZF-<7l@
zYv2C2U?9sl;3%u79VtzIkYnGK4p6wEGKiwG@qE1I*w~lC&RM7|i}AO=32%C-xuQ5%
z7EFyE%Lh%xy1K6&lbT{*yba77s;EC7O3t*?bUZrRE3r1T(@pn3>R1h<Q(o@KXE1M7
zNaPB4EI4+uIZ@NbD|fH?aa7NlXxAkvXqJX+)c2C1E=_4%K>B34ndaRUXWRcrH_Ic3
zKC_U1ZKDWRujpQ6b)`J+@W=a~Gga2INRG5y{uN?0G1g{HN3w4WsJyFC!Hn1QulrWS
z6`G;%bkl}Vt7q$9Rr$E898gf4M!S-|iYBjL9nwWQ%%`hH*uYmw*O5-4&km3|T(Abc
zYQKkXXLqP=cYQs8?a$|f8DM-?)b<9(^tYg7hFKkE2BiDwKhTYnQk%o_pJXfORRjhW
z8MAUsD1y+fsx+-zubxYv!-r%DXJt^C<e8(+D#5aaf<K1R8>nZ6(nO%)Ty$!YV{&%x
zZfusyd)uer26@{D#9jihh8G?$B<suvlaG$R-1BIB;i?9$rTyv>rz4@&K!n3tS>dl+
zB;0}M5*geBdajIEpmZ1uGmVBR_AlUiTWRkGdLE#8Vd3vs-GP~*9{&L|Cv`I%zOV;o
zMs}L)e&qIuee-$q9~+Lc%z9H_w&~_r=eJtVlkr6+0^mpfMEtvCUL4<EN8;lg)P3hG
z)ZtWH=Feg8x#xQXle#uiE)Nei`orQXh(J9^L0|~O=2e!(?}yaKu#YW(@DPbldVCpY
zE!s#mmUGJ5%0s6;tI;q0W?)O+Q@^KgEWba#Z{&fmE^WK-2(TNHG<zU`I~18U3g}sw
z>+DFb(Xm5Bt&77#NbbVQu47^E<W!Y6()VzE$nncZN>?+qFwqxjOXvCX1!!lX(dKi{
zxsOXq!T3g>{f_5KM4g>YFG4}`-t><skFPOTJ+kFou?(2Ig2kavEgXT5<)ZNqPs^v;
zsidEZMN@`LKn^0^#aGNosW@5M=KUh&edQ(mCXps9T8PCq9NudhDW=}iC?(($mmm1=
z(xKG-@Km8a*-&zvy3Hy+isFe@)6z84Ez18bQBz<Yba!aDoHxZ|&fILPe5Q3o6@T&^
z0MthNDQzr%AJ*D)A6yGiWW`g~l@A`CDE!R`*6&p4_Za^!?{<s}hOk-ZA_sREHVV(k
z)bm^X_}MQ=uw}BrvtuIi%fwUQeHj*<OxcjX6?{)}=X*v=hC!Kr!UEvwQSoOqxCfPQ
zga9s}tNFnG_4_0(SXuogyJL4by>3#fKV6h=8r5#ri}#Pi^Ef06kG}i_$qzuLvl!y+
zH9(O$g#Nr(dI+VG^XgTrt+r6eDld4_jO9+X13bytm$zPCmxG*&H1@0xuU(U#>Xh8u
zp3HAyuef6T#LkPsBj^q?DROsE!pV|aROAJat(MFoF~WYaCS*&m|D9bgOP%3j*>crI
zr=#Vj`0<y3)6+zMB2VyroyTu0kR!ygmI8{$Dcj(gwsyxxToQTKnvxqmZ+#q0r+$6E
z4>($2j?s3<b+9|rDe@`wJsTxQWNa@+lA3n5?Ph&H+g&UH#%I9REB~hJ7sMTa*ba0N
z7rTG!Zbp4t@)Xxc26LojtPpshOHK8@69F6Gb3?9bv37EV;(vrdj8SL3AeA#@g&(o+
z^JU}|A?qre6TT$An4nS#fWHtnVgawYz?svS*Q80kKp`Ce+A)ysKXGG9w&8gR$12B<
zv!H}ouO05iN)MTP1zlS>e6!B=W<;~x`V%UHJt8=n?S6RS!0>UTJM~vevY23w0vlzI
zulFZ$eK1>*A6oZ#rp#JA-Txd_LIC`$n-}$4DWL=${vQQhIwKwhdRU6AiT)3Q9(qqq
ziN^b6#4FLEi&8GBkdW~EIe>$rE6HL$|M-;#-oW$tPgIh8G^Wkz#rF~KN=Lrh_g)f>
z$eaBtW?l%_2YE~d)R8bAu%%-y7_;I$ijJ2A)%VP0dr{II(o9QLmkF?;cYUnDcgka;
zn|!T**hQ!7a%ZBY&fS3=d(v|Q)IV$mw?}+4odd)?@J8tZ5jKduB8r*>wPdqJ<=Xkt
z!B`?Jx-=d@0cSRldQP9}pUAmnM*^vITzNBw!zZ6!M`yRMPXOEh>?t%CWd9VXs&?)K
z_E;u8z1V?-FD|N&U?=L}vzLypWEQqd7Sv58{e^~oMv0{sK(gH{B_Ys0m+SWOZN4eU
z369Hr8=tdPqQXdpN3O9|`y*Q5Ln^u*#+!}Y^Y<_iI-uYG8T<rop8u{R%BdO?w{k7u
z9hvp@6Du|bmiSdcEe0)*6|H5+aODub!~!NPbO4!#X45=^w4C^6j2j2L=bC=ViN#r+
z;WIlo3?Pn#71{aYrqBy9_|}J}{m`YQ??7$MIfeC~ki>Xrda~_c3D}F%$EwSqW4ypg
zcjbkWdwa)tCr!kI?4&#EeTPNa@;J85>pjke{r40IK;fB#ogd+6qZEig*+ckzc`19h
z)!x)js#b4lZZPz>vtK-^ghJy@naT|mXn9fZu`HK23GCwP<R{39#9}>*MSpnCp?H21
zbnsQU?c$=mTpDZH-Q<ja+KOkHl!y1tM&{Ddj3p$zTUmgQMxd^>`PG843=ixZ)(y7b
z(tW3RhrweA&RZO6`A@3+Cdm<mu!-s6Y9`mC>XK}?AV+DXVCUw}2U_Th*NHW;vPbH5
zQ&lzbOBhaTD4Y|4f}2KuPiKEO?45GV85k}^Lf`CiQ)2u(a&y5>t(0H+2WRi+9Syxo
z%gSHU7um-N=Mno2O7p;?AL=y&Mc&sH{*QyxOSiAGSBY5ucCm1*rXH~ymgD^vER;e^
zmFG2wxH~{@l@9_VR!*Xh{X&->$Xy2HwIUkg89{DFW4?}gWM87cp#s;YJSNK1*r|^V
z_SXGTYLpQ>Ef@1j0_-9Id(w@DF2?#s<@g9v7=<y|19WFkotGXW<A>QL!~77)K+VIA
zDWr(2%@j=dSbBn#qcJiB)z(%X*w7O-P7BG)KIpyJdE+Z)W7NhCBIC@t$p@MKQsO=W
zY0jsCUXb?*RIv|8{dUY2QXU0(V2X0;)_e}!7BiFW8?KwqrB_zz<!f3Au^%KmU;k6s
zuXFG9J=hn*fQ=&u?W{8Np8rx4C@AL~y$QdoK91mX|EPHqEoWRn_>?*|lc3ol0%Qyj
z`_1e|&a@$I`jF_jA+bK4l3F>5L?wWZG0jPP_g6DiqDU}QMMVbT3NH;Tu?5<}02|0<
zvryaRl;ok??|=vN{rbr0(I*1zE4P8nHzWx9K5-74GY|MRhk48k9Oti%x)jQgNZvfk
zGQt37*0fLZcAB+nUOHU|?y%Dekq-@c&K$t^kHt@OAAb3v2ZHC%icp0|Y`_~%*m+5L
zXGs`$v6D{g)2Sf%)=De9m#h{L#=115jh9#*mumoW<T+96_iyFl@jBYMqqiwkD7{SQ
z#dHN{PGUr#843@g7uRg_Ck?qnpXiORzA0c-9(0K)&RD&PeYo!b0grOO%X49kG=q7x
zGAFIPS@Htq!s#DV+qU0+!$kDC9NK6?GQ+-_Kt-ZN6dZw9tNl8i)xx#2tYMV~6B!7+
z$UBQ4-ax!dy}cbFs_wS-0--9&)U`xR4YDjwIca8!iWq2?7i6X0QP0GI9Jkxqt^<k&
zhf>_BQ;h(mz<>N<5iZ^{|8BtHyOg#7d*gYmsoGVu^Quvt%O&;<@ACZGj?>}KcCC&Q
zzr~?(rNEXcgK~Vm+TQ4*MxrmhRpvOQYQurx_18Jv2aZ0P!QAyl!4Sc`cyBy%L~+XA
zCA~8_j`JgW&Ok0svG!vGKd&WM!ZRzm&19|GA{AyfJ7Ohg!MsmaDORcz5BFGUxp(78
zA~%~jNQ%!3J#g6!r)~;FlTt!{m%b2aU#iE&Be&?%GWBp2o*xVH3eT!AHFt3Mo6)+$
zQAP3Y-Lq!^u}n(n%=DYTZ2HbLn|gXNI;X?N|KNYG;|#8H*pOEin32_oMp%rxCPB)f
z{p-~5H)*_33qAi5E(<tOx}~1}&qpDG4!UWo?lXv%3`!=w*Kni!RT7rJ(-`}tGB)um
z{OGuAM?j?x<%W^jbzHtBGp!*{%X~MZw>TclxtY1!&{jad_@TZ}wNhQ_E{E(COL=e&
zBZ67oV{yl%Mo;_s@wYPjxI{b1AtM#hPzO)c)5;C3@`ig3kN6TC!0<wPfZ%~)Fm$Is
z0>Qdnkg$1AS(gf2o)|RPP{)(RN|i8PSj--0YED`od7VK=NF)WqXDz+2UKYzVEKR?-
z9V6=fw%`CW9=E7Q{=MEuDl|TVA`t-!7e$-;tjyb00%Y>6)^_wE%e`7p>Zxa*Km$V-
zoR6e}#Yi{8jAr>n9`^1>oxBuWh%i$3ZFBwi`k{ECwyeEJa>VaAVHU4>8{OI-WxnnV
zQRb5$N}s$1-*Fd``~&)0a39y3$4fed#pgoZCF@x~C!<$bhS1>)4H895nM>Ls-h#eo
zPstEc2m16C?~0Zr-9A3~F;9M&X0PV;RUT?OvK5f)L86VS#r_yf4c;@przio8*A1S2
z5yvn6WMr#jCkLJ19m#)_(|H&3JY>4{_mx(Nw|qQcYw_$M?)pW4=jrcG@4mwfPop_K
znW;?g;FyxKPKQNp_RFD?);wu!#*LvZ6J<R)>$(RC8@i0zxv#o&ty{P3*C-?&?xPAn
zOFATf6EfEIsGJzVA`3-7xw7}5l59Ngv(NVCJ?zWdo<vZvm95vP)m3gp7YNW${QGWE
z%zIv@%4Mm<Pm?Sm`A=(HYQ}k|DPoFVE-Z11<Rukz3BVG@F#QIvD*EubVB35!Y=(eQ
z+mz{B36EBdAx@nsLYAt{X2F~L%@OklA(0ot1jOxR0<a}k;4lr$TWPk294A~EXMWA%
z+)Q%#=xAv1FtSt2sfLlG{L&)*tYu-njud5`@=*7s*}$m$G-s1<lAebas1qyN70}@&
zZGBt1Y2RC9MPuc<N%~i#zMPfXH{Ex&0w74Afl`<LAd?ps{h(Uh-aVvjxDqp}M+87m
z3x4$m>`Zz`nX{SmBp~;765KgUIkBOuqFt+=zgiD&t&GIeleT?DNwlejDo|%J0(LAg
zV~*8@f#tQ?s|CD|W6#YNlvckDx(uk!oox7P<5AmIoOQDA61(bFA0rI#$X0op72I0i
z{<~_G6=C!RsW=sqnI5g4Ev5PSiR7ALX<$<d<)4_xRSq$)3OWRge%|*LRQ478=(kJ0
z;qr2tl<%v338#idpHcQIzt||3?{wse(?fkXIo20J-nKSk`o3rG@Jn1($mMlPgn9+F
z*3b36zrbt%O|HWU|8k80tWz^7B11WSA~ai*a(FCa#*11s=Z1Up`;mHU+0-Oe&PPrL
z(~o+L*AC^gc*C5!b_lzijSM=UY8wa{(EM=53+91+lf?EnKan=o8t&yd72q7%mXA5e
z8*@-mLd#k8j+AtQEov+G&lnsAYxtu9Vih0otT|-b+=wfs!+=s$#+I}|9{cj^fl}fE
zPh++*t6UH6^}^HpkoS=t#$)HHMd!y)jtE%|NmbQ23hu=)X6lS@`7xE`f0{I0`A~H!
zyfpU#gTqHPQ%B`IDM8{e--2!1d1vos*41|O++ThYa)oS3g1`dqX`}yP7%#~!;w&)n
zxM93Bj4@*tNqSm}5fO=34%hX@`2O%w;tX?}7Sg*kunh*-QU28rMVg-!A3~-Ol2|%0
zY5D@48;7NzeinhPvUk~s=^-SlC7zx>s&sH8cmX}7(&w{IT*+B__dpkvppmvjxc0e|
zaQ%*;N80({-+%Llf{)J9#{Se9)4q%xiF8c1eN?UrLi@_r#YwrroVoNC0^cZWPbqFb
zAl_~^DkY}Wji8=4&HI$}kYg+|RLhoOF@yv@I8Ur%wb7qY_xwRcQ*CBmB32W5p5lle
zUho3VL=YOLkKFzQvuVo;c7<AoU4`rt+^qb%+bM3!!{lL^>ZZQ~-gBp1C$i=pdN}%0
zd|5bgP8@u(%8yQE=sr*l|D*of%3mbU7@f^tt-Bdbdw*DbE<Wqp@{<1iuVEgqm{e!E
zcpX?lkJ)?)5|iLx+xbEZLwwfGceg6vl`6bSs8}ZkR3MAf(ZG&SGX*86!RojNqDx5H
zqXGD#d*T;9^<nEB`&Wix$9498J;o}3pTe<sr7W1wkRI<E^#;eo4Ti4V3@;p4?Xq@M
zAJB_@UmY%O{J>hC8k1m#iL{wUiu?c>UFKz=BuN&mc)nB_t|ana#*Nmk=ljCa_|5*c
zVzq*ovR#y6*n4`5=_l!x>?z{{Tt+FC!xW4i=Onpi5jIHwnc!h3S(Y1DlK^`58%yL=
zzlb{>Dlk=Goe?*n;wFWuD7x^yb4Tj&vx`qL&;~%3W-i^Di!mM-9N?`@Y0n_#5++on
zY~Ed#lu$+;Z<d_2^D}A_&*OcY`_~VepMmGf19ezTbuWVPI)Zs5Xp=oXsglVxRZHVL
z@d<PZ`rJmp(<UbM&s!kGef51j(h_!&of!x7<#XRw6xA+DHOpVt)d+re@Ypcg65u%n
z*ywO*1&;GTdU_~W&{noNcHHnNG`(DGG@g;8F5x6gEC>~)5krv4_{=zPrX$x{((JY@
z_{sI$iIKVIVfXT)8?Kp0iJh0Ho6Q3ZNUIYhb@In+2=C*yMfDIteSp_00Z$@1VnNZg
zn%6=Gtu9)yK4Ma+4Rix}_=~)LoV>w2H&lzNJ5Qso)Q*DVaK;%@;%3m+CbS;38uV4<
z%I*?Zy_IVH5+qUh0{u0I{leHf-x2?jvn1!H0oRWjgWXlq3OWB@5>!jbxGA(3zO$6j
zRp}w>C(E*%pI8hvWc&7`C7vo1Pgh+H{Vn*PyBHYi^J5OG%QsS=k`n#)e7J7y<qCIM
zsR6r=*jsNo_D*ErFE2ogP*EV>{e*_R5?4IriKNX`fw5`0RIMi-VNEVbh8!fIa2~HL
zYKJ6$F}v};mscoCag=5sU2i6ozns~4V?;#XD0=gGA(YPZK@JgT<@Ae9Y_kPJRb^pv
z*KcwfQejTGi=c_-T$uRcaDH5}Q%&<VUx?T6JdtJSauylbtZ`@cv4XUk9PSIlBUBw+
zzLu4->LQiXKzsjww_uJMP9;c*&tOSW6`!L+PG1qw9xSgqh%!jou04O%naKDSwA`sX
z$p(h_9AhwvE)V%njLAVNQXM&io~lp7X-uu>ItpO=zP4Tw$0~l}>BLn`f2?Lca`@yj
zgTi`qm8wT;MJ|8o_hew94l%5x)DLyVzt*$>lx=>Dn90|pvVS;Y5L%noJ@vj%0;#tF
z%K}hY-`rX-*R9)joi=26ta-j<0G&+_G9HC94rVJyLoPV@d&JX(L+3DD=SoagRdrhS
znsR@#1dnXg2*3o%D*;vqL;7ymgs{V;IWgh0hVmpC%q1be`ZJ|m5U+F356dHX^u$X~
z^N04HC()OOs^YE#yT8{Phr8WyZ*R`w%SoZuO5CCoCPhAsVDG`Q1V8MuUc-G3_h6s?
zz{+E_hZ`2z$8Qqg4lR16F~!EBJxR#=cZ4dy3SxuDs|rb7Axo>u2Mc&^MB5y&DBfZh
zRFPfd^FKoBO^o;J{fP)88Ne(cMEN=w6j}8ZhYQ!VSttv-Vx;Et9P=#u@+}el>xta8
zJ+0%nAOxQQRSPonbnoh5B5cCdkDng2+e<>G9E`4&$zR4o0NVE7zt~4e?WuD&KeVM^
zPtQblUxO(2@?5%aN={Yrw{2IHO9D9W_U<kua0%?8aIX0b*>;oiEs(av+)zGXF?}Cw
zlway&>+=Z>mQ@N{!aaySadN^vD5Oto9YfZgE)6EQAN^Vo3kkQ8NGB$H1E{XSJ!rJc
zCH{=){pkWBLv9gKo%$&~jpus<CDkPy-h*0WY+`eR6o;^^S5+gWLYsPwtvMR*Q#j72
z7I#pNY@}d%h#+J9G<7xUMt6zf@6n(f19qX@bww8p#E87LkY)P5RGLrw=Q3_ylxp^r
z8`3@IFKe&q(!1S;Nb1?IWq-zqZp!m6XM>^~>&Ap?6Xv%esogQ$ja3%uw|6h%Nv2&z
zmQhAHZ@cNCF>CDb$h(q}hp90P{!J|$9`~0$1q08qN#5G%J*8=RH_-Jz-D9QY)u8*&
zhG(4aBSY%tLye3228LtBCAa|F_$L2W;Oo1pcfX=71aJ@Pw-&FRAh<`q@q_#!$7@n~
z+_vMPI5I6`SV}tC-`f>UA5?6+ifXp4xnt15{n~Ii19z}P^u6jEv%~xh`efDx|GfH=
zviLmnQs^W`lv%;lJjO-;U43{wr9<2o%?>Oj^DM!0{Q|iHM3P{{m@*%Yv85Z7=Idu?
zE|?lffKxEXyaR7D);_0*EFr8!kXQpcFpFAb;~o)pOpYd*_Se+DdGfLNuu9BLp9y{e
zTHYg}ZU>__c;%6}PL-C+#oPk{_P7PDZr2vK5aE=DXHX2QXxk^#sHRF>F_i^kc-{MX
z&QIlyBFY^M4EuN|c*n6n7@w?zQce0Y&6(u&X;+yeduw?7$($eA(Y~o#_Tmzi@&&#!
zvhshR8mo}ajY2jhz(yw(-6wGO-ApdwlL->sLq%|QxfPR4A0;kGTdU^8n-#6&UWAOM
zT`W)I9K>XM<NHY++*I^YA@R=qLNS_Wu5u-b)8w(u)K6%fR;jd*M?^3&;rjeny}1tR
zJ67gy@5MieraiAWU5qG3(bmT2lw8ytDWET$vmfA>{<Rjp9M0OXaTTyd?aSOe%U2!j
zcd)wsotBpjLFH>|+m#NGZ?FG^5RoBajUYc*(jq2@j5m5;?(Ohr+#v($kp84Ot=h^j
zWUZ43`?^k*sTAflOI|))BZdwJqh7}_^0DoTm&0&WgbjW~(ut_)s#g)_l2!-wYcN1?
zm@Sw??sIfRs+nfeGs@H2*vZ~izwmg>Ch|4KTetC0c9(t`Hm+F22#u;F-M#hqD^o3M
z#Pl1Uf*bzu|9;yj%b^|3wk6{aUl}TbGM)QmfwJjMOsa|5=ReXxf({{PL&xTEKMGzB
z59nLM=jZ%B5W0YxEQrgg*#s`6cgt(Oy|YKT@0!*Y%lw7UVuSs1*Q8CghnP*!BH{(a
ze@fTBFpsG`_O4Jd*5FP%&ZcjUCTaNjU9K&+Q{JvU)-UC=Vb|Ie?U%}5x+G!0(5D&R
z=u@>5-C>MpX)77M`777C>qA8dSv2-Tb)nUCZ9bfxt=3n$8;M09yOaV`wa&-?bdz6K
zth@@r;k@~!;z2T$x1zn-M#UFYn*DO?v!-g8jf5HpLjjmL7Yf{|a5!UyuOeO^+|Y1n
z{k*ElP#yR_-<gkB@k}UW*fvW{10zImh>aWby36zHif0eQ_gd-Wsx=hna>4(BwgZ`x
zo|q0DIe;N?@TB`mqK3;_xVR0&pU0r3ap<^IPw5mS0;76Me1y=Lsh~vRZTQM$Xd7~4
z9La;j{Tfk)I>MDId0R;z!wu{4+&m)We>1l;7Cm)(AyUI||Ma0sX&;rUFR^x}frUug
zVYi@va5=W_m-XY?BY9iQ`kjv5-*ichG{&1E??ja%sJF5P%bTuBR1!CIF*tr+={BdU
z!qZXv(&^#pW70#H1IT^T!$2EItNh`<CVVISN*vuX9!AO+XkM?N{1ZmYqFHRn)STza
zmg0(<^qC#|M0Zru>Qze0XVOuz`b(_2pfwTyV28lDVFemIy9XU~Oj3vU$U0iTy2ukW
zJUTibd@9dcUhr+QOpBO)Qf#6twZE-Fi7PtoBF9S!eTK3>cSH{~)3RY>%dblqdH&rw
zlvft6ixZn$YqsBrhOWRDpwdqB2QOe-fR+?dN@g0+>*9Q+2<pc7Wq=jgZbaYw(Z2_-
zg!|W(lbla7LQOkV;L_ophc5ZZv+%|HKRAdDHk#E+=d2K(b<I>&-j7;hB-%rHy2(ag
z`RN(AsobG&_om!T%@!%UwPr`&m-X4sqgkTM-R}d<wye`wG2_AQ+o)Qp!VRlwe}(?C
zhj@dA5vXvk3D-X9!Jr&JVe?L~)OZ*^K<C;|bV(;8>e|UN8>Zf2N8y5zkB5GvagE<_
z>*ZSRCr7@qN?FyZ$}Y;O)(l_$+z$TSS6@h@=rF{bNwi-cpev{boujAlKc#i7hsZ7Q
zX?oKtvjV)UZEOk@l{5C)6p708lCCEbkRKdqS*;X%%gPj{2f4V@*V**WUz`6YNgd_s
z<zT>9k&=>%{QpPQS8zqSy>E+(99lrSR79ktQxKIdQBb-BrBh;t4(XO|q(P*lnV}p)
zx<O)w?wFw){+si@Yk7WO;4II>p1rU8s=IBpz8-wSCFzv}n|Ip+|7O^62unZcml9LI
zcGi8OI(F|#tv{R3>N2_UZ-M}bEe#5S`uad3Vw=cSC{z$ae6-kEck+3A?(sh5VrEi^
z$pcv?!M^aPCD+W>y_A~91TvH&vH3oyxI;tvE8t+$-q305bq3Ea_`m8-Y2#2>4W0n~
z=Q<AatkpGcPukCzXi>MATp+eki5U1<19>Tv2@4Py2fE42Yag08{C+1LsxX?xn_H&I
z88xjc`mol7w+|!3nIr_4Nk!>3S0z_*JyT4UPF1H)iBBEu%wpvl9#1I@g3W!2zx`sl
z`DEG;$73cvIiu{!4v%(-GoBzPOvqEB@3x}6gUfW-4G(fq3roA-A`?@q;H+aS6dJu-
zPn%sBc9s2~1L%II?$!8#)7;Ng`hzx$mVOPcKUrk|Qul*8r%{;)qiE?~_)Y8@xi+r&
zjExi;ISn$DhXpk77L(gBhUj*?yuHa#6lL-7z_6=aORvU1Wh>V63y(@=TJxAu((Gg`
zofnP7HwZ4NhP$}qcU|YzBh*9su*qX*|KY3?fJQn_5|$`mia_&KnNAM0CGD(3<fdkm
z9g1ktO(sxclQ6(`c?R#86qDNqJSr6rkTqD9m=Dsi4-*m_ygW3K=gX*^;e3yuF=3GD
z4>hDH&q`7WG)<z;q%Q6$t>REh-7<Uf78eZaR@x(|asMK$A8vA=ZaBX4@g;w;95m<L
z&)`TTI;`J6806L9>7(2YMN%$b@lngWKF>KHyzSZUEoRaz)$P#KixZrCyTrpfnf`;h
z^k`*e|4wp_t3%^|BvXuJi*6V!oDVS?TM!a`uc)?7;nH{ypBrAcjR<8%N7+`sxU|fq
znfcB6Zueb(>6dE?p=L&ccb3{jo%Zop6khnE9of^tRF)2KL^+E6ByksL8++Z!ZY<K!
zc~2VR39yI_=E#mub!N4)JnKuaJT_}5tBF?axqP4hGoRcemppPZNE&>~z8`;*NPA;u
z9=i~Kn?ruNW($4z;e7=Y3>CGBcVHz!)Zv7}+V=8%HcdKNq$3xFl^s3RF6{DXfc&)+
zlU5=c!9*w3Yy9>Vzc>Hwfa;4rmJ*yk$cq5GY^=C#C!x^zG>fn0=5NV4UC|zh%9%EH
zt9W}<PqZX>F1UN?ZzeFlA?GBW_Mz0sx0j4F`FqZOKVN<5!8*6(ETpbFM7BjJ&DOXs
zf2I$XSY5B$1ye;&#T}0~UMFi+H_1!i*q6vL7krZfZ(rV=G=VG6g(uyDhnZ_!enDr<
z!s^rf-0iYxh{6$V3Wc6~K{(5Ug&UjX82ZUpM*?=LqjRsv6WUm^Ov{yBY~~Lx=1-^B
zKiYj7Y6{?kuZVKd=SnvbBZ+^An5d_&7HjD?xL7zl@s`Ec5pdlDu{KyfL8%Df_N_j*
zZXOnd%kRF{b#trG>}6NK_JUcU6sPdd(K1$t*rA*jQbnI8F_Q=x%RffpR7)z3%)P(9
zM`%Z=_iWUYD!L@ZJRjQQkN?b7;x=#(Jhwd4dClCR(LbN;^lt&q-+3)FAaQ!hX;~*B
zIpnduhS`3vpS{K;paYeC-a6x#ob9;&r1aX9|GoJaIKQY4&V}cENA<Sofd2p>JhMpc
zDpiM5Nht3SEKCJ}KQnm+uMn}a$T&<w&O4zKvrf2o+OeE)t&&7*6f6T~ALt+fF1pPV
z+@`P8j0e08?s)yvaMoZWMCMA_e-(q;I?87CwEQhJiKcHnuFZbolY(JTwNt4STx5sl
zPi}mFqNOuaMfEfUpBl$d#k+_jPY~UOqIGK>QULG)aF^K3W&N}!>YGZ>$LE4|B8P4|
zS9~0~5N!U(AWvcM(XipsObW)PYTjvkipn;gfJ+V~J`e(_p+<$tp@MqJ`KF9&pYH{E
z<-n!Yhd4Oi?uESbt=GY;6ko&=GyUTiXpJAQL_B0g!VV^@AA(wi+J4<?W^G>ZrnJ3V
zG<Ns36s(?$+y#(9C~rr^l0Ks@t8-0JTsxxr&`}mJw`JyEZ9C)lip9OHpaTWu;d+DK
zbGC2$9%XYqZ_SW6I+8Kb#E<0q%RamyGEBGaNLb&Nrd4Dw1Y;ghP*m+8=Oi{86g979
zwj%y%%rKAC0#o3>Z#CkFKI2HFztV~*t$mnAAEzp=MTx;L+?m-w$8?^QH5-KMkf`fT
zGbV@)dWPL_BA)1)86npn#ZL`do=v~|LTKB8&F^(O>2FbgxP9zl_6vWLo<a>PPik-f
zykpJ4@nH3y-FH3p5)w9sDxN|eE8AO^5hOFSZ)wKwCWffEJ1l^T0g3oI<x(J#p0R>O
zOvB-n7oXdPo%vr$E>s#ZUj-=~|2k=B;EQqE{Gi)2L0xU)8fBuDSSA&27W<q3CdJ*l
zfJ+MziEmgq_jJz^_8n!$IW(DUj^oGj-O@@$VxzK27_)OXDa^;4IaQ;djO(~@KZtxB
zz0!iIXxRX@xu=-Hvbo}l1bFE4^WLsMe}DNmK89-EoFNXjsZAigoP>2LgfBXp8V4)f
zhh;lTbBrZ+`t!k$x3dI{+WSCn&KNKJ<#fpSUEY7C0xh*C9rCD$*l7QTeqo{K6qC9j
z{p$k0_cUnpnHl&-Su?+N6e-5t^jmG@{84Eq7@*0)LbgM=?0a|TP)Ebl-p{;cwM5kV
zhNaEZB1dp%xRE(Chk|Zl%VUV0t2h4?VTs5s%Myt@XogI`CT9W9?~vdt<|2=ZMR91r
zI8ne+AV|${j)+mG+4&Wh1i5f?tLELKdy5wmcOGr>cFUSvErwbalK-nVfN$?nx(GhC
zzTyb<(&sQp!EyZ*+i|*}p;%K1`?DwiEuzP?47=QHG|!~T8kZgs?LBo*6)P%|MSQQI
zC#199qE6%3&*)sOr^Un0r{}j|b{eN{=zEtr(agA;8%QI_N#-mV&AeLNcJFjpX~q4^
zU#4+3(1?fJFg>tCrR_-6;Ad6UwSb^tC)LZi6Dgd1te(kdWNbr~45*!9AY4A;L4BAp
zlddQOulbuDyx8+@;wdEu83ddm!7QEcLAx)gkN~3n%$ePpo){U``=)hKzZA@8VxiI4
z@BUC3Pa+tf_Nq4btLEE(6l;xHIb8galv<UW`&IZ$+U5HuWJDOxRzhcRGAG_^3@=pU
zg-h)eY<XGodb!0dThZw6f0+Qz(=u|j#v}A|Ubwk!8;}5P?`ZEN4{}?vS$&m&Y3JR`
zn$yCiA$<Y`T#r&PIft`e%0gxDOKp=5^TFT;=o>Uo;#qfYJ)kSzPg>I|A^y~i)lM&O
zgClqGh}jj8w&cvl!_jQvca_iRJj|-vVsYvXbJBnWtwpQH(q6-WE9rIfVw0O@>@)wo
zP{ercnsZmpenRBQaIHgQ%ilALkt8ur4>Wz+iOh_As=NI|8iY|p<J^&FDQY~lPft6h
zMI2>%AJKkpCP3Tl+sF`d4O>BCx+9%V6l}hR803)NW3>!$&pw?^<S`q-34gZw|Fvj*
z4`?9jBw(j2{VR~myrRb!*>9iVrDN3jUhj5U3TvBJsnaQ*F6gvv-!SC5t5_G9Kl3@!
z)QwHR7eMvG6I?(zm}zxP|I4D`h3A-V?wAH6(ZzpK+rW}80r&*_Na|YztVw$Z%sQ`S
zScn4V+K^66WZ6E0;8h1YwAxNcGIqE)r;b3XeVmDG&o+Sy@IWOo<Y!`O9yKG44)Rc+
zEN^FCDcM$^-|%*<NZpMpS4%Ct1y9_qP5ALIv`Mol1t0iSB4wb8z(pJP=OT4;Q*0}i
z{{92wm=wosiH<miWXbVSq<KjG%^Y0xVR9Wx`|o!>F27ISZ-lF>Zpk_~dVnm*k_LmH
z;^;3m4cZ?c@Oj{iPv@^pBzZFdfjHk-U$G#Cq*-ns+z)pvcw<jQtB;K?i+1yvjrgFh
z;)!ei8>FbmsZk`+a~?KcF{NS<IiC$a#`uh)23ba%?;kcSik`@CSxcunHln=Qe481t
zW(1ptBrD7(xW>7DKAEetq&zR`n|O~ywBp&UJw{dol*Xk>#{uM3(&$AAY41e%j!8e}
zn#<f)M!<$&_0BwTsTdDQz+Imwf&(=@SmDk0#rQ%f;<CIGI~s+oY@T|remRcGgH#51
zPSwq%48+q}#$>9cENjVfU~A+2zTe$>gQAvI$f0W9)>W?DYywaNz%*g$e>(AC`urie
z<}Xg}^J{Gjm!WpP-<fBLHiLT3tnGcQmAgq)@N1lE8s@V(T$#UL^Ea;!al=_6&Vt96
zZ6V-Xkq+*T^&K*~#9yJ+=;@l~<QG9awmjam`iBbD^9gFtt`F}MwyAz*N{Wi5WQ78m
zrcv82tE%rV@5UF`Ebj`fENTLD!v523#0F#b%(QS$fyi`gw+5z5;8#HU7@&BevXbP?
zgALm#)WYY+g<CID3x`TG=$GESinyaeQaTa@)byTW5mWU|&1JA*<40|P7#d8JAtoOT
zxAu~IX5MGHPzFF)qJ=^OApM`94(|(GB56?`^b7RK)Dl^XfXHC(eZ?;pBQYq#B&hLG
z?J|pe02)?1%Rz-gb=I_5=w?yV^9&SPw_ZF=P7S!sf6<Ns*h;YDHErY3FdERKvg~cd
zR0COujT=)%oGfr2Zg>*bGe;S;jGAzB_mIL<@f?lI-G%&TiTM<R?;qiw0EPBH7pd%*
z{Ys<s-u8s`>Ap}a?O*1F>~C@3sZ7>9eDnu1nJozXpgizAk%|xTxR`nE-UT!HBRiF^
zz6J$9KIFk!$V%mcO(g9$Y1^KjzL$udQ%*o#<Pq2!Iu3-QXvC2xQxBw-J;@|W3zyFk
zf-Q_82xU0g)*lRt(MxGt<rTZWA^ICoFmcW^N`>e${W>N$@)yRmWYB%?t*&4Q-|cUi
zk~Q}^&U;w9Jl%(}$%iy)T#MPw#X!3=>BF!wZgj;8H-|EpDsV3{KC08xXqB0Mx}8l@
z@dsg&<sm_zpSiR~Up!b^LRp0ULy%fW$E`lw)1Kav9{L&gH`Vc^pP2Mr?G#c+fuB#-
zO2@g%Dzo^uRt8C@-!Q<WiPtzXHUMh+rb0gD@c6qeUf9p7n-SH{?j~j;)IpEM6@}Y3
z5H=nNSt;(nXY+>EExmNUBbmHGf04SE5Qo`*1#S2Lhgh}O!yYs+**N#=(AgI;S@k;N
z=nufIdW8pJ?cdBfKAH@kzhZ8Z(^4xS1yWWCapn@V3Y>`B(28#m9)l-?=Y2w9z#z4O
zXiG}5*j*9`jP>1~JHy69fiEmwktp5WQ-Ls}MDXC$-opKuK}dXhI;Wj5HF{6Y2AvfS
z!nN9iJMojBi;p8)bYA{Y+wvLhY)-azb|P)Ca-9xnZ00N#1@9MHdGnGuMvD&~w&?V+
zV-M`{$&=n?2z%8F6NFb2(4x2$Q1nN@t@4kF&WK;U(%diBJbUy%G?63-Am9GZaJ-v)
z7I~05OtnzuM;IT}R&H1=6%NRdpWHkof)j{#aNjAWoUn*~jEmj0Ks!ylkZBX&pl(%}
zglClxH<U8~a?-5LN;{xWw_iCjv1WQ|3-ZA|4%g06XiZD^NQ$hnn^;HA8@TxXsyjDc
zq_P(IXSmI*m-^{XB1{Cs+0k)@P}z6Co*5I<lf*FDNO#LKzW~%6KRlqAs<efQcenxR
zukf!bK^n_i>#>bB9SCuzBe3lw<kBvldFEbq^*WsnGTWvmauk2LGnbbvCQS$i81rDr
zV11=eDB-VOyZha(q|cWbYFC;ZoVO#!(^k#Az#my&p8bgrvsL27Z0d=e_J*jhrP}3t
z)7}Fa3g*UqFF6GvH0i%qURD>NBQYzrS!o_*88Eb{jAb%^XW0Ty!ZDb_C5eF7Z=sN@
zV2o5dq3wuSsAi`a4VHG&%z!Zz*z3RxD;#?_ZQKe!K>6&>sJ%~*cbn1B7tox<yfG0W
zy5DxTG-*pt6I`%ibX&+XO@@hGm61x}wkgq2SN`}3O*r*;*1_XVvpyl*zh~B4xN$FX
z!;*)%!FFt1TdD82jllc2KZn!8nb}@0WDClE`~?){z#Y!#;40vS=k=<?U*6(@FKZ3E
z9o@ynQ1Fi~viF;x*(3sL!T&K_1O$}y#o|zdfK+l(7Le$)v_KDz2QqShuL%HbE9+Z+
zALHFOU8KLUb0RZS%<HyIiH^4iyz=_j*LU{BIDclx`guB~mDk58o$0O6^-YNulNbZ!
z=1ba;;Tag8gTROqXU$cinGh*&J7Grz=+=lwz~+Z`hJYWxRisX!dp6*OgOdZ>jdLx&
z&YuWW`Vw9>ZC+Vib5S$mRH2DG7~5`47IpV8zj+r~`3ekF_LgYr&NDB`j+o;+&kKF#
zuz6bpAF=W*j)@Jwuax^f+4?@#Pg$|uRA!)XYgm!0lE|^;_iZ2t>}<lf@yTgA;}~fE
z$J_^AT#V^1<?5+;{O-Js!bW=j7>kv5yA27SKNhwmiiF)Eo0u04eq^WL-ZH*YYY6UK
znfI@7mAbf9|DuH*n1sI9bvPZEooL#fPaS~Jncf<*lm>-bJ384-b{7#s;{iATsk(CB
z+t`-G+upGZH?yrjj*>YWH_3e#lypNYz|jkZks3$l%zxtGLGoQj<;Kz3#sR6PyUIxM
zH#ck@ID~xJV>AzV(`))i-TX+^EpGE!s%1I?%|`(xZVj9U?7*I35Dj;OlXFp<Da&jf
zQmF-s7{QLqs^mByxz@aEVI&FzRNnp>{hZe&%a9qA1bD50qUK4VVMVm?RX)iV+z0Qf
zezR5nG+mbMS?lTjN0=M_Lgqzw-jbh=#Iqh?9+~E9q)4kP$fxI7?qohEY-LWipTW9K
zg(4_V1;8po9ca-VUl84_P)(A*XZ4Wgc$=>A{m(hjOWvyTyC#U8KN?6=?HCVJsu{M*
zz;IyDHGvX7sCZr=YnjEWmP_4#E^=8L!~_4A41j<!mZSwdXs|&TPBZ54>`Du4b7{ER
zi@Hf^`ZNlEH@UANeZ90ncBSx`Mf7Qzc~VJD%%<6~2;TLrO6k6F7K1rf9TGnpJP0M4
zVUd{7)_AQ*%U}jZ|CaY19NWzsyQPzomctcAB{PBOSj)C~9c9fvPrK_~?*;06uL-!A
zT!#BDK}%NNo4sv9v}si`_~%0IyIfs<4GOQF96uBS_@rF*4WI$k@nic-<_v8KQVe9U
zyxx-KcVGfIfxV=Hn=9PR)$;u9*ATCJ;lwG@bj2ez!Yy<<c}aLBKB<hWz!YO%%)V*?
zY*i8l;{91Urq5{H?b%)4vA!nFV`bF0zI7DRdvb?SY=DSC@z@VZIcRn`BuO}u^%oU*
zi?=zW+1zn6c4gF1OMV&$Szn}aRh(0~%qh}rB+!~=e~jaiD=&w#AV)!S0v>?ZQzp~T
zvboadwWUKWB`bG0Re`Wlv_{VCC~|alMadA#2fPA2&7rGDMBUqif%m4x9wXT6RF2MM
zUmG;-$H130b?9Yv&aCEnDqtt}dXC_*RNLDM=*;v?9EciJR7SHY{8C+b*dv*K#K)L+
zZALh<F(fQPO}roXcca-aIb0fbtV8O7y~xABqy-iveSi+%TR{5E^}Y-n@3UfK{S~H|
zC-vh1k{mkf3z+A3oPcJL^M>ePnNDIve~saqw0`>Jy8GIX1*(?-IDNixuJ^-3-Na91
zistfVf!iwY`HMbc$7ZbCgh|^QjCTA+`^5+zed{gYCF&9GYB=`NH=-5FFPygBYGG>E
zB|j87O`QLeRX)+O6w4Ctt<C@U2$uy0J>F>`$qUPmq$<GbpJLN)9Sl+=KPQd*X1m@X
zZqoUR5&ZfxX!IZV6tN(o!5Pwg#U4mz3kJ2KB#i>$@n-^2RcyTy5p(pr9yZXOZZ2BX
z_;!msHkZoVFZrJvORgwRNp#D#`ijjcz?;Rx{aZ`{i<RZRP?XNhvAXpT<wW8fM86=X
z4V;RIA>YZA&w0ERmd;K?O%@%+&~YlsdO@e3#f`dPY0{26F}M=sP#2a^J~kIV3ve-n
zL1c@e4r+jL`(Q$`vtO58s?=6F^ByxuFgjINr=94ycJUZ-R=9}ljIy#c4Dh5&TZ<?-
z`K0g?oB4azBU?JIg)przjkjLN;Fc(-4R#J_Y>$`7I8Fit*5{RKlCHHIy-fL0VE_GX
zV73~_r%}8!(4nuan34hE&Zuw`!OhnC`yKy~ad&kxBJ0^-F^rn%pY~UdJ5<hpr_i#m
zklRr*C0_XD4ekQ4v`4L6QH(43f!cnB<RwUn#+~0JkB4)X!ayCo$q<I9C+wnV?!sgB
zQU&ih5BvnL#aI@du@LDArqs?lz?n$PFF&uhd+~hEI0X69=h^)t4(4+u0Y#xk#>VY6
zhkfuu2-DazbBevP&q&GWzcgj5<n?!eSqkzKmKYLSW(d)J7^BXhe#!O4a%~L(!$+JU
zqlKOYB<!Dq@+f2jV69+H1YDDXrc}fwx+LfPdRuzrgD}9kk#q6}?AP)-v<7GxYww%1
zV6>TJ@GE%C8V^2EPNuJ`>mn~IORzFVNEhc`@CNt+rj=yU&Gubo(08ZfRR0o%JJT16
z!8b&+=N6&6!&y%}SAD-eIMprvQyG*?elkxa79^bzE>G3*m-lN<e;mJyqB^YrK7oy>
z*n->SoP>E3B&H)q;jg1U_de=ZjHcHTgyZO=J?V`H>~_jaUUYK3No9Yx8!@2j@kT;4
zpJf;TR^!hd?Y`MeE%pO2^P(X*vja{8)9TVU$bN$tL4!Lj)hk8M4fE~<2V&M^GuOO|
z%o&NH%gaNRu4JR|sO+!l+Xc+9(fN8DBlwHgny*jgrg4?Ip66&eZq@z!)|RFb?pbQ0
z?~Ld9vX{($M>N$>*dBGZcH`l#9Na95$$ZbD<X{bT&@VU%#nK1Svjjrh0G%CRf!)53
zu#BA4B@t_NopXQxV=;jrfAGc+xi<7>(^gQT9c$bZ^Fhnc0W6K(7;VTSm!1B;?45M1
zi{qq-cB86UO*i0UbA&fis9+~56koR8i`e-Uqu5+x-w}P8n?svXJSH!R)ifyKS0Z({
zLnqga-)Zduy<WyETj>WSDM=D9Q^P1ohs|(0`U7(F1{nQkJd%{VMfD-=sy4d>cKjk~
z!1ed{V9y$q1%|(`{KrS_k;ULvdElb@gSxfA<(f1w5dv{Eddov>hs~gqQ+*eI^!z3^
z`snMK*<Ai}4aQe{#-~wOV9g$(Z4(6Q&|Xtl_OJaK4DO#VKb(lvUlCVIUFIy<sVTod
zJ7H7!JcmVYN~6!k;xQHe2J5~hM~RyeZ3<rdJt~vo+TRucb?LHuTDdT2r{DpJrTBGk
zNj<Qz8+{(!Ux%f{(Y!=>h?XrU1GIZ49M|}&H|A^@a~XPlq5}!hQinP_+uw*w*^L~e
zxB3d|E?+wU@A~&<*CQ%U`V65g|6>U6pq^V#&m$MUsSt>RV_=6{p6OV^Cj~4T!k<rg
zM7^niNxS7y*ZzDMa~`O@G=ES(Cu7QPlG6%Ta;4dR!fw73Ty!u>Lw!2$LTPR0Z+8>o
z6=199+Ops`lJ7Kr!6T;cG(+3eKNunsdzXHyQ%4b(YsBQQgTz}r(o1BmsA05qP_AFM
z>D_mV5Zj{QKgdQEIV1STJD|#(fa}y=x5i}*s;glDjEd8*m?OO^%-zShtG&JUjyHu_
zCwp>S0pQ^K0Igvc%szQAV|IkOkPJzd#Cr-hgj^kbZ2(%=!(+*}-)7Uc;F{9%+iQ$o
zr1ra#MZ#c!5VUi#d;Dq}_D7OF+rq1E%+4=9bwu97{+j5T?qKCl({nn}*wW$AF-3UP
zt1{Ie9xnHE$V<(BVHz)n9swV%{xwRY=7qaezv0vN`uyP+Np+*+0ZCd&e($-Ztu4>)
zc-S4or|lTgc_??hIl?lOm#O3lLn3RsKIi+;*OfwLPgt*HjKkK1@3Jtn3fkrB7DV9Z
z+!8vq;4C@IqTOEdJ1RVpXXZ2+CN*J$@j2V>losatF{X8AZQOSm?hlO3a4|Ga77Go!
zQ<Pa%SV8XuxX_Z)(9Xlt=iImkkDD^i2=DyoP%B0`hxaR~{F$62n>;llKMGP1USxFU
zNZjJlEt((|yzp4DdtiNS3%-h<qi1Sb)V{JF3aokYUhT(XQxZe75ybf&<0ESQTL2(}
zy;gU`gnOPXQj1@eEk)hLfdV@oh=Bn#fx>Q&_%1Ec=`vawtE`9;b?fx_-F9yn)IoAZ
z>HXdjYn<C_vj%K_m5fXm*9=u7nSL5kiRkipo?Je1%LLX^Rj3eN5KYl!f7n+ddb7yf
z@>j|yM5rgXWi*758pQ~9tm7kKoYwu78M65Ys&P4*oCRYcgLc12crveUUZ&|#>w_N3
zDFSo^b1AdMBLSU(Am8j_P9Vl=e>7X}`_r(LV`~oE*$yD4*Kfw$gxw~LsUCt|YIccV
z*`ETRqv(eV_lp_}WzHHHNm}r{utmK&Rqz~kX9_TxAyw){IPz|;s(8nXQNaMLvnp<`
z`DpswLV_>IKX2;qr!E_BA+<o%VC<8n=VY?TV+(S${#+jB@mWkX%GV+Th4iRVR_jP0
zX7AYkLn9+;%ye1)N`weQ!Dboq?&j#;MthVChp^~raQ|q3(qYgXG8~2c0(ONT^aT#X
zl)@l6x=gJHNhwe;jZ{N~26a^E(RlZ!Gh(L|!h>?-gek&m59yhl?dip8AK-qZoo07n
zowIfu^>2(~nWP<fa8dbMu;F8hK}xcYL!XzObq5r;J?U*Fk&)3$378Ra$vLOj@JDDG
z4p(~$D5l{-IVz&)!2;!2xWO6WOx&E4Oz+Wt<e*4{QX6|ami~v1DG91QOOrBTCc%AD
zSy$tk<hhF;j3;cdN-DhebGPrw;h$_^$<NXXi(q&k+X^$2TtMXJq{Lze@!32X4-}rg
zUsfBD;TsC*oQ?Eq)a!T|=b!J}2ZIJ{O2&5{CZ|63ZyD^#51<sY)qat|W&=;zk0IuZ
zPb4Z<zQ`*2G{~!m7EncqtkC{voNli9!npFfR_9D~aP*=xVz14DAz9mqY)obQZnU8F
zzw=4?A|XxtN_d{g!cs^5D^T-fU-G6CFp2G7WIW8=ALWeWly_eAZ24X{<TH2IOmB0~
zxBo`m#E#^j>rEIJD?e()4@1$oMFU+}1EZ-e5BPKC3%#TyT-g^+&+d264uv+>#`$%L
z6h|wB`?*f=)QD2++Jlr%QOtuoSKni({sf-NF44>t9@aM};}?ICvkf?UL1BUV5^%&G
zeIzRgUyInu>%dGtRCgo5fdZZyKvR&d$+H}k_kt;M89iG$J7DWIU>!Nv3!o&d-^8cT
zAJ2UlH=D4LFu^$=Dt?dX?IokLMbs4bkQ{&AM5ht!nlmSrR%~rZ^c)oz*f2BP6H9a`
zL%OZm72fEhByLJ9hpL>9n7bqH1Ac=??dWXcD=N;zR!$`wN(nZKj!5U@=EMI06;xmy
zWQF1Iu)>@~@fybiyv`D#QJv`jL{Bl9jql6cMLI!gQsL+ip@4m2f_}WEX^<TNU`2HY
z7Ko1Yw}U6VGiNwqx!x(yc^y>B+oInM7u+`^W~~iODeD&>b}FBd@KslDf`2VtRIeJV
zsLYz2`o2XQIqU3``eKr%x}mWz?-PiyEzvv=Bn7x^-gyN85=*dosKh^VxV7QVm@a2&
zJ)6M86EdX9fr%A#cp?yzL1}TR%C5fx6reN3-EFX@tNK-M%|RsizN*Y1f+GgXgc#fw
zL#*1}?8#7x<l(W6JLB6Z%sd_^55DM39IL&op>DJ<X_I}!L!*SZVwYQ&yCM=@SU5g}
zKZuNRXMh6X->1IiG^%Z1rEZo%D~pyH7b^NTtKU%jW^V;_7NBkJi%V5+7C);MbgFKM
zzqUyo%+_4?SH#|j)uk-{_#Y|ghPyx2-aT=$Va!fF7sxr06%*!KWS+_wF&o))oLfU7
zjI$T~B;Wu*5`IA>Xh0~Uli!rTXZ@gs2e`L%A&qiv5@D7Cd;UU8wMRB)YMZ>*yH-rP
zfU<CQA^Alqcv%w9voShl{GG$j+WShACa;`B1`oNn4)qseDHK%=m$$YQ7*#!|{~_N}
zyX$`Av$vN`?@4G$d~vb(gnEBgYj0^uuSaUT5ya{9hffyE3yaRtLS+GjrN?=`(zv!n
z$P|PPgtvA%RjVAWgGk8*hF0*jz`hUB@nqOEy~(>5E4T;HlbVK?F~wwR5N3uRy3;j>
z%d*FtT?`#uB?|wkZ2+MxyxpN=0f5Ft#LU3g+i7j_Wcqo@MYbZr9s}{GSl(%08s81Z
zLU?#C+9v?fK7d=G&2BOrUE-s&(<FDMXGNa9q3`ap3pQ6oLpr`SB+BWVL>?Z7Nl1BN
z^GBo^q!^{YcI4YdlFb+z!3$sX3H_(=%DdEi%Fudj#^LI@T}pPbcwrHzy8XnY_He5G
zLyO7)`)J5RtDjOFuk+L$C~m^ddoU&=TP7t^6(7`X36j9yK+^0T;|QdoA*S>Z66(Sn
zlH6E`_0Xj}DvgifM#D3HzI676v%<Ny&grIMm?Sh90_El&5<i}e@=Yn7%{2G%g+S&f
z+^+u6Ud^ucwM*h%29MPPfj)Tc0|$@t;p4ooNwhWrx2SJ=^kV3>ml-&oR%Cn>CC|fH
z@41}@(uG&nzwff4pwE4Di0$!@+mv#-Vl>==UAW}gp8XJ6g@(m#@>nyob!9{H4mZ<7
zg}7yUSCkbsszI~h#1NE5Fu4pWx>@P0&Hw7|8QBa;v?X|c-+Thx;&N?G`CgkriH+<x
z&&jW+%!@#rEh7s4HhNFQ@m#|e9;ex|lB{vLwjGFWheWTsJ{x??yn-WYXz<19!^5(D
zN>8!-$*D42oh}w4OTmxb0c_#hsy*81*Vte;pX=Xh;&e|9E3qB>D8o0kXTY*@)$4&1
zygi@vv6;3awQjO`Pyro2(|;21mnXSVcFV5j4V{Qo!nw^+R(3RndZBb~?>Q6OTv~Zx
zMx0qSC)np2KiB4;+{r~PJM1}QR(?(=2)CePdN0usU@07k(J`)oe&U9k3&B%tPh{?h
zArdm2f$1bL#p3R$HKAEm%_RwcuNsK5**koUkg@oOC?>_kubAR<-AsqiEnE`V4xs`6
zK@BGDB61_O#79{%V#5Mh@+h~>?dF!MKxg|@&ktdoJXE%^XRZu4eNFUpIC#Q&K^M8p
zUBXgehowT5c0lRv;kT{5IYZjmci?7@_F?hy1unTX_J!Keyap6Qm51%ul{AonZT%&d
zFZ&9nUU{?PcEcu*c+2~2@^e7U<Vl}S45l*9d*8w$^6p3?ArY0#d`Tkmo-<zzc?&X7
z_&r1h!NPOebs%!u_;$^A5y`w-&z0QTX~sW1Hl?R5|9WG6`T6Um|C*9-{J~ni>2<bt
z+UAt8ui`?^{LE>~s63jhq4;O7il*_@(JjImeQ>#>pB|JvFECBU(8yyi4~ks0b=2P^
z@53w?LOB$KMJrex21mGIXg>H%5rpqumdg}|w=JoBN_zMuTCS?(sY;*tkHrTiVvVP$
zz>0>N@W^ZTHz4~-HQtggUnaVpnJ|5X`t-cC@Q%@0s?B5=KB8`LH}P!E%6ZQj4ZQgB
zp@CxP74`BGWOY3_Oj{=)IG7@NG?1K?qH)s_#J6g3(F9~@;7lpKwxpp1;bd+t;GYn0
zpZiHR6&{MH(3nB8spE&dn<kCBOIW#0%kTjo9%YSyU7Ry??&*8xN$NP&U))TIw}a6p
zdBV1P=v%xQZwd8n<q4{2miyV78wZSt*!vN#rnCbGDbT0~d0iso@0niqO!=<&f<p3L
zPAy>?pb$1ZLse7~Wib3jiJOYmHo;bt1^OMKUGduS+CW^Ody5O`^J?rb%vL{viS?h7
zKdJQpx=Fo&n-pb6F#qwXdcy;LzQg9-pKm(ZRSi2quw#v(QKBo+pcM>6RH#a!Ippiz
z=ll(ZKkKJ67KIUK&FAwC#Kj^x9%pWzWLHmyB_e8E6sHx9NCqFFiU9<sz9}Km%-^k}
zgk4R$4veoaS8P+`>nk+4VueCC&_XyGx(-FPkN2k4Gnel!I17PyHkqMD<4xAsxLz1T
zRSePfFXy^r210nfU0#wM#ZQCkH-gvk!b^g}?^!rYb7-R5SvVZX=!z==>8Fklz(O)@
z0;m%X>O8RRbsqi`lCY|0<(9OQXxw6zIGP~n0OFC~DX10M>+-#VBG^J%xt}*bwU0UM
zwciyRTBb6mA&h!DlRr_p8C&9$UHobI;newY-w^D+3*^S>`QYylB1?k@&hukp)(3l6
zNxHr)qJO`+Va87%gn`oS9!8{He`(#H%7Wy0z{`h@-duM|;8WVZOT+mA3^<#gppq%+
z5cjbc1ZcT|H%M)ecqL~)@mENnjZbx)r6&yMVfUUxR-rChL6uoxO%cC==Z|MOvkW%B
zqK^`{&vjDw=skq^rvD5_vrwjQ3WLBxZ~wFEQ!O`nGv>bOp`HsOB04F%tNom3U7E<=
zvHrprrF+bxt`$!nghs2s$!c5^%6z{vy*^SsN?5GyF%$y<UcudWIv)NqyM{k-8l?BP
zIn)|Nw!qR{1^pF$uy!7S$!mDCCqxV2y1o&V@_NT+xm&}S7YrC~uJIW_I7hkJ;|w+R
z4^1kQ#ghd)&o~1TTt3@YNbPNv%jVLMh~ArZy;u307BZW@Yv}H+S5X^Bz`T$pz3eu+
z;odtqmW3a_uFe`7Uv=a}vISdU>%H&NMD}CS!=7C&T5tEyIRP<CG^XzF&D`ARSMWqE
zW?wdDSP|Fu+6DXzg_p1ib4Jlr&;In}8J7A33|at@6ccmpz!y?TkmWny%8h6H#q!?p
zWofo~h@V{h+OTCMMqv^`bG>rjM`Vc5B7Qen;A9~I`V6?CiCAlaZF(tx{Pcq9B5bbs
zL^6G*RbtBJt8_3r{NV0jfKIjzTGuY0<oA7>=+@vz;=&A7+bgKr<{^bXUF(7YxmrC+
zKx3T{muwM%9bWS%k!nibkjZMp7Y0a$@K#|yu`?{#+s6%|cHVRTROrjdoypJFj4zNe
z`NTdDDaTs+=UTiC#>0Vrg2d{)HK0RFFBB<(8=Zgrk2||)3%XJF`)o#SNQQb=x`Cd;
zancQdf(#RmYqDUTc>{iK%uBNQnH5`A915<7lP-?GPM0jiMW0ELZnrf}w_@6xnuPhF
zDD(yF+gFQ?ji>u3<Bob#UddYp0)J2RjkAc}te?Tkoc<*{%06=-)L2LoSK#uA4dpTH
zAk&?fk82zMZ{Vwsu#_k07X0)slS|UW9<${J+X79`2*(A^H+Cro&OFb72kw**{f!dG
z>Fk1un1c)0dCvi-ZJ_Vae@=HXqT>g7Vi25$9yGy9i4UutiMidHFVr>5z!dc$v8zWZ
z6ye8J?c-K>G+|I)`H+HH280$>iu+$FDKF24ga#p%M`6pUXL70yYFt11*`K^6XMSLG
zuefZKd%Up}RD}Fn=Vb=v6cK_yY7cz@QaW1iR7xlW7A`3P6I-}Dt=K^e_k{kU7U0{|
zMSGUcF=OewQPs?Qh#yodu|9c^0p%lf#m8wE0yY`-+gJ;?HW}QbCwbwkZvL+|kM@Zt
zI8}-K8?A=ewD+O&ouGtK?pH&qT;w0@{<G3=Eo}7zlD9PWPnw(?v;tf=|9;%Ej1Tq2
z9}s8ehf(85&0=y!%Tg{iyySF)3Qj5vXA3qEwFTfQt`M6ZZeSAR4ae>{XenopETwqT
zNB$jL7oOP6R4?%*&FV-9Y?JxG3frSg9{%C|+O4wa6qc2h&N@21TiQ6LpiYUnr{8|f
zgt<nQ$!M4qoyA%2L#9&ucrGAvQ(a^R=JTa%w?5;fv2G!U*!Gvh2}xVtC*T@XH_K^q
zzG(mGl>fz2&B3y7w#y`dvSvvS@fh*}yH~}zaZ9Ens{Ty7lCD@@fj@icOdOFyj<D?Z
zoAZCwi_?PvcY$fEN$9L-55kA!d?Zy>^ZRUe;bz3mgipY{!ZJW%v+Q1B1nnesqv9i}
zs%)%R&mvW?9?g6^(;0D^D|J6T`InQf(CocCo1~<-j=WwNu!*5%WFJf`coz!19pxy7
z<tCb{zsN5$<GpYN(~rc@#D^YH%+uR4Vw!qK(rTzrt89OV${S~lj=7ORdFSHBkUy0_
zzDvtk;L<D;C^6~}N9I79Ix!}dQhf6jc2DP9T8DvG8xT`Dv*hg90N`|7!f?^6n}71_
z4_~Y!m8emi4T`+*3)GzF)$j7^fQ(pO-K@Icnf=;}G}~iv?q`H1FE5=NeFG1P1UW^D
ziuzCb@Xy~wiQNO`Vl$Yen+T3%18I3+KgzCLty_{d8>K#7O-3*$=soHTHCZ0lZ6POJ
zPD?%$W^OD5W^tjwZNpn<E%JF-o4$NQfeByXeH^PuD~jt~CC&gy6b+d|w?ty#bGSe3
zlVVHe&7X;WqFf+?`>HP0LDX(7&U}`7>|6?IDhDwQBQR1>421|;@yHUy`{TY=)B~jq
zSq%V7gZhW0Z@H$h6tNqdRF1A8kMol{K(Dlb!Dc3i)c~I{jc_J)w%6_aHv34bej_7M
zNnj#<-=LT>G^P^b*-APr{3H$3Zpg5k^U!ebi|EHZxb4cm^53F@=Dzzv;)xa+&^t4C
z<*@UB@2)a7n*_vvnAuvu6S4R>2b;jQgb)o>aVa;w%;XFZx@SL`pHfgoobVxlmm2^q
z(*Q^_Ul^)EVkhfc;W7)TN=ViDHk+9s+`Q3&oysM#CG5B~9UOsgr9Ct<9KA<ReVnQJ
zy0+X)9=j}5>qvKP5Ey_mN(C5lr9r?iKY=duy_LBTE!y*@wr>o)NVvRv>>su#Z!?M@
zFeyG)%R7NCe9_kpu1F?oFkDXbVe&>Xp0?3KVBf*L56-PD0Un54g{L&iaUVL_--ub)
zNN=v{>5NE?$*S>pbydzWw<UGH=<b3$0a3c|UJ=v`t|1*d5Utsz+<G@Q^M-The7!A?
zfB&1F1An)Hy>#W!h{5?7>w_ij4;>rZX1^$vT?g*f(Ef(cU0^YDop3E|KaiK0%<inx
zAHGF5OYUqC#)7$Pq;@<1rpU~HyofiPZv>lLx#{Q4vNV$0<>Jg>2_q*obLRJK_$Mfo
zqUMlb0iC<^`DF8!J2T~l9$p+A<S1uGV1rlc%~Sr#4-hb8#I=lT;5wB4FaNZ=IQ_j^
zJC6@NpmX)x+biq{CZ^JNb)wBQsmu@tVx6*gKwvJ~<}*St-7&>P_7A7gzW9%kphTtZ
zhPu&0m%R1QW`s4<Z3ju?k5}wiP3V@TZL!DmWW+C)Xs&0LhQ$}%gIyo1lH!!Gp<q`x
z<e^K28FUL|B&<L^2hBA#IHOrGVHBCPVN)0~>Kkq1S@`Nr-aH|Wj4lbS>o@~~{cgh<
zvA8>*YQY3}fy}rm1STmtnhq*sS+Vm=4UC3)CyMig9o}hy|K&UJ-z?b6p4knD<hY3h
zx6Mz>0tb5y2x%IK_GNQTnWu5o@>1(%7=`eiWo^`^J5YdD8fKTl1A6L5-%eHyQVQM0
z48JjR6q~u5_yudg5)%JBKV=7fP=9d=7;F}aZm@RA#&hc>iP_SXYH5=cB^i9D05Mkd
z;~73IePHvZqeY2axXrxDoY(z&lNRN^Br@7<*@{`03{WZFCZgHhro4vbXHJOF_;)n|
zv!^{Eyp@-%s4{g&j45pHIvYpX<>K<$GgqP6<}0W-={<=cIDf-kV_}be#qW?CXkyMR
z+^i`7y6Si04fIDdY*QzD-J@G2^<qc%7DTcT`!GscR9xqjBqVYu%b+xa#YO)ia5q1V
zUO^fMKtOuIOArn!6s7_o4{HL(DZro3K-3kWW+t`|<=St4P_U)zGcPCjIS=;C_{{86
zqr4(^0yxR=U3sG_0>goCR23Ul28c=N?sR3b2tM&freIdO)3dL-R8b^$CkDj0D=7LV
zgTaU2vp&*UbB2;i2uLtp3SCm#2zjeVl)x&Cp<V@C&KzqjXS=Gu`gOOlpB}y;*Ph6g
z)t<I|)){Nlo<0ss1%l|`hjddz?hGkxOvsH(Y@Xt@Yhg{!`Q4%zm>J%d!hivn3I%%I
zNGKUM@Zx|U_1c41LK5MxG!-8ogdChGM+^LG7wN|kK?4{y^#RI0Na6`eJ|pV~NqHXl
zk#heYxvx8RX;zYfJU-Y+n2K&|j=bYgGsZ_>^ZCgGS@tEfHW1w;n`O>TWRdLYIbV0Q
z8wGV)NL|uj>5%Vh@*8iprJCv^)bC>f@XSX!i@a_mY{4vpf~X61_(z$;{CY6DsNsRo
z9I&~T*^V#>zHS#v<Cx?YBU6!#TlV4_p{xFrWfuGC#VyV=c;ObZH`?R@%|f|3F3qO@
z^LiszAqsI?B@xP1P&-1jPyUONl9s{I?u7yOzQ9@T-p$bXQB-`)X|oQqFLLmp5L(R(
zmxx%=(>(%mL(hn${^6V{#2)9Pq~W9FUD6Z9^xX@R=YMx=-w=+9YJFOgRo$nHw4E){
zG`o}>8XueL%#&u(rd4=%^L0@VXcWo<4tr~;sjTeEJ^&l|ad6+fWN@+gM0>eyetrJ&
zzB07NQoxk2*$qR$HQyEEOgC#i4-iV~p{NYn=2{_s04g^)4b7QNpRH%Hdi6m*f(QWX
z%ON2K<i>UgMJKDCB&e;B4@HI&sfJTSW<Qw(VbY8(1QtSi*`HR5m5I6lgWk(vhE>Mi
zQe|r#Xbl36^9%H<7()la=yqfk24OSlmS+bEYZl7K`t_*jS5H2%>6e4et4PjNRJifR
zskzxW!&LFqMLgJofsGFqbmmnD9ekAa05+Vg2A^#5nnNdJWXxw-vghYvGXcb)+)A+;
z&*O~ikY8iCibZ>a&D@imnVOg=hCSl90U!qE4b&z;xmdQm{&H7e&2Roc;g9nZVzBgu
z1UEHY`JoS9Yc8avvBqu%+tOiF{)VA$5DA8|G8PW|JAAkbbRu^(C#KbmElZA$Erf!0
z7vzrYK%me{fCeM)Y;w=b1$jNrF&LXZh(WnUGT=whE{981d&aK-jrJDetWU^Y3G$qH
z+_YU8%JtkFTpQU=rx(Y?-73#^$$b~-2{{y|_oME?x-ay>^})f6OlN+UFRdvb8fpG1
zjt1*u-gPyb9bAa5)cTY$qiK(-l6Mr__p;W0b(rgnyn7kUmh2zU{Ez-6iK%DJEjYDJ
z+jS~=n+mN#z|{)Q_hrRgl`Or0(9^hr+qJl*3eAHdEWYj5xf}oJ4304Hfvy;M)LPGV
zj2Tq)A@1ytk-5!~2!NQLq-i;uHaGW0K;^pO=Y-4S_AxcD8)a%34Ksw$>UOCWxrTWw
z_~2l?UT`wyUkiRDXvr%}rer8a>3Y<xs6XT<6yHpux1V$*de&7nZ{dz&l=4bgx?M7-
zG<15^k8*(ud~NhPBX);i$3A>@b9K^LV@Q%@L&5d2oZ1Mo$_T>wL_9p&Z=Zowf$fKP
zbn6Tw<~g=zBa9-)|8s^znh4^f+$-Lt4<#qlM+zzbVO(xFGp#nc?KfRnJ$`|%Vc{%?
z%YU}_cGy$M)pq|;oGJCV_Bbdr0SEl>2QcepH39_6Vfq^llHkd5ebc_>e01KuQgYou
z*))!EPQL1jnI(ctDA)%a`K)2PBK4c9g}gP$&RIJxe_ZA+ydqa~Ft|#*&F0X=bn6Vy
z(cQ+=q2Y%-^!vdkN!+*CIaq%C<K>RW6k=bGN(xUtmBVJk-qbu>!2_E%$k1v194d;V
z^Pl7FKBLHzI>I4?rG65%2rpY}Z!o6W5OV1?_7iYD9oY=F{yKLdlevr|sY2W-68LG<
z?DqSDd(}thYhhYH<YS&GxZCt75SHTCY*hW3*Rg?`XPWRwRdmRBxuMh_B92(!n@dfn
zP-=u!MI-QSCQcxCa)`?w45;&qtlXW3YnGIVcr4JJ+Rne*5OJhP)Y|_#UBD85m`CAJ
z-lj`~YT$Gs)6%_k6(oCwc-Pk(YL%yc@H1|DV1wCJi0W!l`D25biD23p<UeIt&5xtI
z0!%6zP4i@}l=VKTS%0NVpdP_?TCVM6;G4>m>6kZOE|?&tM~1o{P1!(-4xSd*pHn|%
zl8lkL$oatiP2$PLQdFwi{S}7j-4R<`BIyCVJ9@1Jp#;R?v`%EM##H;;HAoxCn?TP;
z>*_P;;lnUXob&qb{*o2>1hB}*x+MP+(j3VLM`pITvl1OLsAC3DJhL0gKJ3QLV=t=k
z34{AT!V4=+mt@gBREnHNd{we3txI8Yd*3~L{hXV;-9Gp6G?tBo*IXbOIh=Y=UN3dw
z>2NwDx{E!{WuTNasL}NC`q5~JA|G6b%?0w2U4Ku#W}dk}Ouube;ZJAS1VxRgaXg5j
z1}=(;x_=)S342W>BJZ-O%=#M+3>>j@!Go_v@}>HUtx7%=S};;?w^a!D;;ir*(hnFl
z$$$Q`N>KNb-$z9iy4<+)Hn%>$_n!&nn}ST9Vy7P;FZ34oBPG%kswbFl1<aD|@$H{z
zm`OF}Ft6DDr#r#h8cWgdx2%f4_M6N?k*s^<?6-x^&~M*bhRzqo8s}8rr$TM<!*gi(
zlGg(t%WOOwJ^9Ipt=jjJ8ZBkn@F2{y?HeI&**YQZ!J90X-Zecd=$HCNZ_nn^><i~e
zL7_#(?|aOtw|KX0RVD|1UEU|cWCe=$deNJ;5|{HE#cMC7^R&FTHw^t&D5`7nVK8*r
zoK>1%Iz?AeLl*pAz8~l&fn}=mQ~Ap8W<5JGui-Va@z3_gQ1NtcF;@e~nb!yyTRUuu
z5FOtEuCMK<2*uB}#)pekX`-sNqWkoS1yYe3IaXl~N(x062!TpGffa9lfKW)g6;sU}
zhS(?m%xs?i3hxRj+)Ub|C+>=W<(zpxKNHi3{|C=3cP5Tn`%EbAAoJEuXIL0!{BTb;
zk!FWpo&XZi+t7n#iB6!<?vP(U+Ey!evXYrTJ-xF({?}gN?QyeFA*L<2;T@Nb7R^rZ
z;a(eF%UXPe@!L=VpVGS#ZA$yTnV(!t45(3DYe>$1%+u@)s(NE+G}kk=Ckyn^dqfKT
z-xvu=#7(AO<Zex#VYVF*icIwlFOlAi!{#p1iu`1VZWlAx@D$9QJFqX%w0P9i>Yx!T
z;}#{0&bs-G#f?9B@u~RcF@an?o_GUnr)2osF`R^P7CXVq^`B*OJROWr8&W2x`u9*G
zFBSM>l6$s!nM-w<H|-nsv>xnw2GXJq<iHGN2-Uz7ur+7bm+hJln<_I@{;JT;+P%6s
z@K%|VMj-BY-RkWNhcj#z^9n_EKI_7{i;zWWCL#W=pY5_DLZ#onB6ciS*xw24CRhh6
zalf3*EOCYz`g&JY46Xb7wS3tL!{LPQRu-!2xov(Af}$qB+KWHW_L$D3Mv4D$Wu$sG
z5mp;ba;m0Y%k*E%F)=^u*vdAW>1`{}kKZD}L3#ekL;2k%w*Z{N2zvA(K*$v2rXLkU
z%jX1SWWH;!6L-}H-4r?6yd~f|BK)Cw`1kKgMSip?VyfZ?#2)k+^1;7gA(l*wB@{$(
zN>V!$KC`E6m{r$E6l@XAJ9)aH;#ubCY+=nNtqF|gpBpo7x>33FQ0VBnSBa$){SZ#T
zY3~ckJIz)Wme$X^7ZyNRdA^%Kz~u}>r;+VNbc%F*gUoV&F>bnybvh7r14*u#Nx@E-
zj`ogC)f_S@8lo3)1bb9EA#)QRQQH>R`naa}sQ(o;jR3B~lCPw~w#NdQY1r!cY9e2}
zB*KzLG0eHHK6KIjwy5iU)Z|PKg$Fw-aEws1KKIc$&I?10sII44Z?j}?RS0)(Y#r?z
z78Q`vS+>+XsDdD0v9}JPq$Xn=d|(ET&@9uoLcC~Eq`E=dNR^}0w=|mn0qA6_$Ybbb
zOeAE3G=)UHa*R^(B$~4L&^%P&xkYeN&oEPbYttFbS_-rfg0*_|AyoU_du9R$Q!~U}
z--#83ahBZqhd0L85uzS{yx9efr(pEdsPI)Jy%BV9MKI_L6HVIdsW&=W@6LMl!uTL^
zXq~-Z`^+~WH_*2p<(<Bl&#&@J1R3Fsx8t$ERI7W(id70d9}rMz^(2n4m9im*Q7m7l
zFP<-Jfzv7QeU?My$S|7z52_E=^byL0PFo$sq>78KTsB;xNb;7II!?TbD;oTh$2(p}
z?1(x8M@q;dQWXJPi-xSw>Z_(E_5Gn^EfV2XwXdqye8BO}@M~9tQ)hhHH(7g+<pP(Y
zgY6nTfk^)6wvx7+n%#8@PFrh-^-_=J&YXt2IORVZ<ED;#qg$TsnbYYEs`yar`c3c&
zpdViek6aGf`xKWvn^0vunW9j1TQJ|GbFi^J3SMmcx*mp(*m*EHtWq_0qGo)I2z(~=
zcRVumda-c;x++mKZng=0z6;hXA-V3(F=mf=Eh3W=Lij)ka1bn&ODTXf>E}*xi&zD5
zOiVq6czvxrjk-7P1NytB+|UEi(sW?IP6wMb!LkTkbgfV2#Au9aPd(1^IJT;dClhf8
zl-ZOava!`@ymSlKY_JFB4Ys^c*Sza18W`Dkb5#vh)WgRzWdDYRO5%TdCt_;-lVsXy
zAV>Id{^PfGAz(y4ayw&Lu_D7a7=d+1j|-H~rlvaRL7QXw9`>eKUg>}Ed}a)v`UtJL
z-wspuPp;tyYyTi>gr!MhoJsB0B{^{}qi>%q45o633N-y}a%fjF8(9RaJd~@YKz;<{
zR}L>Mk!qJ1d)HxNVS8}lgX0$ZT=()q&70w)iG0PoD0uUvyrC1V(#M8E4wUCMHA7Z$
zXf8!LHIJg+-t<04+#$eYTIiC3A-Iqj*QEai>qg<>oqcIBZs%We|Jh`7NV`MO*qR`B
z=FV5mCQ!1j#YTCr^8^x*KAF`z)!u7q51TT`av`SGUv~}+T9hV`mZ1?%`og>YfECpH
zs9Amy6x-LM2hYzCTd(HsY1v%Ee&rI5yc3H2X)=SQ$kfL8A<oV&%DYjhV1vJ@C&q4<
zra!jGFV4c=upQ6mA4B#QqlAKZLpIvP-qTn3+XmWw^QhHcfu*q3Uy{A8scuFnp7Iy#
z++LlSEb>*y76<qV$E2%4V#XCj;NRkRP_I$DsAmnWdD6b|S~HC&lv5;+cujFpmtU1l
z{r{-??tiNP_y0;uR>%%zhB%qWmYJEd9jla`J<hSIY!X8DR@OntIL9a}dvA`t;~abQ
zeRzL<c=i1Q+-}G7`FLKB>$+d}ar<t?!P};q#NIpmRxuJH<`MSp;qZ#tv-k!1`AVi7
zTuHb|2AMXWjC#9Ft@_%<`(4ApJ)W-*W<2$bPM~pn>CA)%jnDA1O^_)N`}_hFbArk|
z@%Bo6$YG`@8+~VW`4lAeKr?-#OHGJbatH>Mz#1v7ET2dGgRYe9HI=DQ**a7)uh(zm
zI8~U%UC&IT3>%KlpdA8ra#o)bHwM<h)WteW5O|Ojs2fQj2w`<s>RZZ48t(>0`*UHU
zGNv^PVpVMX*S!(s*qA`kwb>OsMGfM2spa^eC9V5@-ri<O_To6`9}s%ybB0&zV{89(
zntrh20CV)RokIt|Z_^<&=V2^SGoNrNz!)h<V_5hOO@;F^Xd70)g&#z1z1EL8JRBO=
z2sA;GksOvsxwkgyPHz6VWC<+aZzPokO-SxiQlm#<AZRi=bikzu9l?#qn5%crD(V|K
zmhHORL?xSipP}jy4&cMkO^A6q0h(5p@PbX`+;S)2$hD{@C+QM*9I_XinDfu6MA8&a
zlpJi$5kg9(RxCf5-Jh(!UPx13k=@UbPpmoC(A?UtTv7F-IuJzD<rUHp6Se$E9W?dx
z(3pH7Ia1@6rfBSIO$Z<D8=Qo?&3zO+TKNBbQ|qo;w618^$qi4u@zl<s{F2ucz-L@4
zlfGk9<X9$R{Zn2o?rZb4s~E6?35LX43h~ewH@>)j%Qa&5bz^p(YO~1q84Bg@`_cHm
zp8dID)LTw-w(uVq`pybW4&lcVOfv!Ahm_nA;moklI?GB3b=6{>1xVul$K7QH=(371
zyFpK>z}z$gXFTM?E$7<GYo6p@uSM3=+7RRjI)dljC{XaU^P5}8*E+sr?xf_miBMV9
zub;DjKe^Fs9d*zhB&**3<vn?q1+(-1eRISJm;1<TMBeAA*l74VAy!8PlVXm@TX1c8
zY+#1abfa^}H~OQOy+FZngH^*gL&jk>s-Lp5ChH>0q|e&G7SU&79T_p6$!v)citv@=
zf8$stWclceb7(BuDYi<6)nnN!#gJj?YJ-AOP_IkFv{A;d8x6kJl<`*91}2rQR8vYC
zEeQw>^~bdx`2tw4A+aPj@B5NRWEabgZ1j<oXnreS%@NmK`Q&#6Nr`X>&AxhSa=pQS
zb^OZDAT6Q0DxQ4;{*7o%$c=;5VNps=gP}<W#qI%g&GSiQn`i`HwacAAxF;djiQHHs
zVvClU`A7W5Ws9x9CrxwNk`b(glTW`aaF?RPoIA>@KUGP>5g)qhrdBK|3E!eEAW`g2
zSF3F;HsGAO-{g%zeW(HU^?i3*C%QAd{hOF9QEM-{;d-x%WmFaiT2>$mX{9uVPcDK(
z;d0EsuVN0KYa|~fsUcFdwvD}==Yy3WxDN+v*6yIXaY$fM_CLz!RDb9QMdcV7n|h~?
zukOq2g$!PeQW=C^3;pf&6h}IWLg5y=i?jr80dxqj=et2t`WzbLLU^Arx1G7M>pd=a
z3bj3L)v48=9xm4#R#m>Y5xygwd;{hGWZr8P;Jjm+12de$yclLVudbFXpLuSMKCH(#
zrGBHY-hK8L6N6ru7KqL^-eoPzsOLXqgkn4OVqt&!gQrC>eNfdd$YAn+)yD6vQ7Zmi
za+Zsq+lc;g?!I2fn9PlO8D`orSlo@xVCG9-9f?3)Dc($zeY8ja=Mid#&Fx(ZC6E^W
zfzQtWi}M@YRS&Jo`6S%t^+pu}L6SpP7ub+S8f5nLQ8Q~IM9PNU4xSh2?AzN*Ke*T-
zETx#=@#UJ3rr14(?0wsBMw@v1gn*EK|C7asGOPP-d3BB%GMez?@oHw;myOJOgM~pb
z7}@+8@X`By)%dYPkD-)qE+vKm;a7q6CB&va9wfXB!KS3Jc4OtvUig78WzpYnw!ss%
z6&8zT5~)|@_#$cV+G3mict@%hZW~hMisCAMZxW@YpYh!N@h9qncln^Kry+&XcXXX~
zZ`ImgH^?vq@-rjikVW&_gFr^z?{e=H{+Kt#hU3Oob`F{9lsHm<jcJs#@!UM`OLLY&
zwX#5t7y3ShOB(Po5vBW%^|tyfM%_8<XsLEg)iOPZzF2y{`|tUFCG}a+)0{u!P$TlC
z*L<b7$H%Ujb{|$JyC@Bu<!%5l;oD1iR#$)zSWQG`2xew3dPLr=Jip}`KYct2C*p?F
z{rR(sc|Mpl2yq3CWZ>)uJ#_b`>j$5APGZk4+T$I!X$wkcV;w}fi~rY<dsFr9A4Pz>
zIX!4QduTB{UBgJMdPeT#cD3D7*AX$nU!^#^hYefz4-8tl;uH*XDC0S91P!6%m*N44
zV#%CMI`s!_v&|J9zu>je_c{*tqC2=e6_ZSd+2Fo>_F&Y}4j&<fj>S~9+I7*pmntLl
zcpmB8?tP_1*Y9q6Nb?RqOhQCKZ9Q~t3f4$h$y0kb3ccdm=UHXrrSZLi=sj1gpf+t3
zw<w>ia<xn@$>@WSLMmI8x&>;{`gHD#-3n(jwYlR7jd3UFQC||QNm-yS_?famCkhIp
zz3X?6ir0`~-X6nJv_k3FOc~7qGfy?$uU-AF={dLmD=L2(aXIyJlqP2?*?498UV<Nd
z=b2QvkMk;KKPUU1^U4wk8q6{G2Em<)Agkpk6pdmvlMx4LHC@nK4AGojLqXYSSq;1R
zZ#{Pzz}G<8I6>90Y9vs*UAT8kY0tl94P2z4$F;k7RcxZ7A^^YDcgI8R0P9W$I_bbE
zmN`sSvZ80)I^gu)_<3i|q&MTM^Sn$B?ZF_|z@QF1IW2KVjYpV$d1_W<c@XXCq%`lt
z-8QkY!l_B1uZ(GW@9Biu8FO_*&rUt$#q`h_@Af{AL7VViq9X^9v#inZa_1HI(omDa
zyZ5+0T8?9OzHwQ}L*A-?ntfn<kKI}~aluYDkSfV+yT&rLGkj<=CgWg#U{6I`)o8;O
zUj&WNZMu7<kPc1Zy=}CrRYtQ_S|Df%8)msryxL10;y1+v?!3b}hBn;h{hqL!nH^K*
zwH&8Cu$k>Qfz5;4V%_ZgzY^4cjWx5DCjGe%|4sMbK!4?xr{dc)75US<dgeEP)g8Fx
z-l(~Pn>Ffv0TFHCK-Taf^fG#4O0E$lTB9N@wZ_z9T#rm9rH|I8QWOcwHase@X~C69
zzPr+R(#6?zCM{cRGC?;;Z!3`mj=-{@&c%Lqgxd@#GiT$epBcP=3my!)>sGOkLw*Rz
z0E0uV;UF6lb3BJ;!civ6K)4Y3%8y!P@1RzGa}MqE1m#nwzZ7;wV%YT6sSuHo-4pvE
zYhwqK_46`SZt>|nrhpU)llIe1iAK~7UJQf=(-nWYFcNRGF^XR}^Kx7oO1F?4a;uZ$
z0G^4au`8A_qXH5?v|>ce<kjasMPsUzPCs(x!`Gi?@fjwFn8TESoq_90ZLFgE<BH%M
zO0=t6(fzmSB#@HV??2Spxp>GJjPz0RCR+J=^Z#6lv?!U4$f+&&bMPYVVd3}e!Yz4S
zSET)WY~fJ!j^sEw=(mRuv)uG=OTD05-}QY>c@-7%M}M+Q{W>T9@6?|Js+Z@H*SSd-
zUsYJ5*FK~rM(*f;pE21uZ=_@;hOf~DB>uwLJr7yZP93Ql{740#Z%%P<Y>ZF+dH;(e
zNt<I}r7HKJdU#<e1y&M@_P%NuT0L;erw;Q@k4l0pE~(@*CK{X8hBYJOc4z7T60MDP
z5xJ9ftLv_hg&&Ts%(GMzFfCIZ_|+0^6t>p7JLVndB>FBLS3g0PhVN}E--Abg9fPbI
z?XDbpCatJ*i1Hcw9^9g+1N;?K^@|-{LTq>YWw_`XbuqJDjXeUEN%`f^A*(XTNL-rn
z-tMKYsNt$M5}<TqE!rP-yJy`3q374^6;|6hzKQIa)G}zhtzJ2tF~yittw?m|(bKE%
z?zs%lOrpcjA%}a%B0`#;07l;R90?tjH=s?-U~@4u$3_hlKM0nz@OWm&NB?^$PGF8J
zlKL2ldjfpw_Z~XD%zd}{FTMH7&wvLUGIS5(uX>k;Ln^4hwjn5b#PS6)(_rfa6z^k3
zx+9uZmsT`j*9oyVn>X9}y}CA#*1v7O8Y-WxDRoTU%B=@$XW1$p{)6;z_{1Rs07(9y
zdDuM;d<pHJj?ndjt29DA$@h!SvdR%?TE>cqEK^di5bv8h{D$KyD%r7j4*bG9m?S8J
z*l(Km3sXkHcBO6jUxj_uZwg7`Iq7f`<neCP*#aoIZk(>>PB*|+n%;|TGkk-WP8d0;
zcZ$`4upr9hXIk%_VsR-2C+p40;5-1slm^`9>&Erqq`O=@!>hC4o0V5Kj!O2`;}M@4
zo(Z2YR4QQpWZaGZGQsL@e1A0pqE@McZNZ7T$T|9rNZQI22M5~9JN@b#7L8LF-Ci<}
zp8QFreyewdXZe}PtI7e9-OpXO`*O82elLSi<(~Pl^S8rlcld58k{hcFs3qZ!$@J~J
zZT~XFpykFr+5|?;JdK(MO9bWs&;{FuZf?&+SUCKICJ<#nMF;}M{_A93`DX2*3$(&I
z22V8-N?x>hzV@_D`sr0m0$G{rA_A&DikCKobOkVLk~a4nPCS`)nr~QcBoocfX8gG=
zSZzsf{SoemIjh^<)S<?te)f6d$7-+s)F6{`5!9JS%S+I0q`1u{(b};$teh=TIuhXG
zfYc3!)4Pu={BlV9i39mpUoou%qWrtN<3JMSnk!9L^I6Aa;qw(NWW$1_K+Zz6J81c@
ziEeqCAYj%Q$HBDPabUu3LgNMb*1!7*|2b<EwBTy@bM`E8Valoqalz`Ydr_4}ggv0L
z7OI|8;qU$$^0-w6cCtyq^-*3~Iz&V7`-~*DNBB+|{>0kybYSo1#oe;Z1FJBDkOlf$
zdj!z!@c9Jf-%LUO9bm39VRy6jc^sHdc%ww9B$?H*Pb+S6CxN(yUlNQ)DXE+Sf>I_@
zkpMS<@~n4D*f_xxms8XRkfN65cMIzruX+<iL<)wKvoF*A1BG7^Bi}4isbXFjDhpb?
z))uDY?6SLlNhFzgjc6r04#^m<^St4-DNR%Pw4Ebbr{4A8WsulC8W<nCARM>JcL~Sn
z(qViUd47AT96T}6NP#ReSQhepc4CAX?{P~Fu8+9ga=ooRQY4PQJX#U<PT^4<vr=}v
zz<t00oG)~7{sfszC$D><s?5=yeTKbnq^*2)d`+3ghlAP6)`!0iC(nOEaem(mXeH9s
z0Cbm2<OP=j-x_S|{cHds7Dz3|X!yrsREhw5oIEk};j>r;EpUw%d<<HY*<{o;bWCEl
z%jlajq%pRbG>?oBeWSA*SmfwDMehzihwWoCAx#5c16pvlt!!>)dNsgh)K$5r3=~7K
zujXa7MVLkVFfRaB@cjn!FKJjPO-hFoj{!ikQXYc4Xx($&>zSSOJ+W`k(x-X;E817m
z%-A+AYA=XYjGVzjO|csi<s3mSy1u(Y%!{V$L!riT#PWgVuN%dBp8D?+ZnkhOGH5xB
zdt!?UpYCn0?eb6?7dn2Z8nA23DsU$w9ztnz@74Oy+x<p$ifJGdPEZSe;hyLXnSk7-
zNdJ=#Dv??)JK`%s*LV^Ww`Oam_4_%nF_5VJPIG{*f*zqOZ$FTkwhuDWt=@gYhVg|5
zQaRRXYUffKdk;w)9BfiIu8;CG+T3a+2ppk++W*0^b?&pY#Fmf7u)%+GdX8%pf<e=r
zl}|cKqt^_(-%_NahM4~e9_XYe)miP!FlN!vZb!>xo$Q&of+hfy6`c`@j;G72IaRw{
zxl))yqd_EGL9KY228rD#JU(uxxk`KQY|ya7+&al*`s**j1n<&vu_)q&$?~P-jU$b@
zL%J={OQ}~5l?`SNBMlaEX1itodA5?W0I;cB(93~^KZ<e&bpRg3u#wD$J{iXGRF7|E
z96u-O#znJWx0aj(pZLhw$_0(Eh)nx7BMvfV&j1bdHhgA-c#XI~uKb#_|Cf`Afr1a&
z{175sW<u)cy4GSYvyYYmchrbfxYyiV`fT8N7mZ>!z)Ah^S-c8*6k<%)8W>+LeNgLK
zhcsQ|)Xrq){6!kE61&REQGGf^gTW=28M4Yv;8X^j(F?WC))*1q<?iZPBl~c;cM+me
zZClhWY<4O>8h!?XgZ)P2m}<<Qc@3_N#C`|Y;_T}i#c~{E)3I60*{eo|J?^m}?YJ$>
zxI3<-7sLkcd1k!#Ew5&X7<*osEbj^DTW<+U%z46g{mid|JozC2xZXFUd1(?b7`Fy&
z7YKfvpyeE@_-3%qw1X5L&y+kS*9YG;yZfqN#=s%<g-y$Cyf$9(%m-?W|2*9*=kiPu
zn&$BgHu+i=--=VXv~bmxw6*|st%jmoo}^-E5qgj2!3-$e!Zj~ZRx3}CH=843V(t11
zhor_NjX%$aldd>>+IbJq4Q4FX`T$F#C+S#XB0$COi~*Nmeg_R{66tX?WnvWzFj_h0
zTNYz0DM;wLPG&_io~$u;xAuvoN+Qn5-uP+KWX}i>!)xn&d&9(JXZfYSF*_y#WhOG%
zRSxa24jO-NkL%yy(_-w)_rW9q=19sx>p*I(n+h<eG!BK@RYbv^Rv&792OafwVU~gg
zqQmk}RUvnVbExe<5kk6frj1D@IzmHKZAYz%YkIVfV#Eg-^WkC@E3(VQ^<`C#?A*6W
zu1sH_Cc$w$DGM%Q6_uUhm3*5gudS*UprDn9^cFh4XKS=2z(C7NH6@~3AQn_~ZrpoU
z04x{!`u*y{enRQ_vpw7%<G~sJVRzzaEQkMs4@8BVQx`w%-Xs~#MM?qPrRNhidO0FI
zy*T%2JIGa_!EVQx+m5EEHOUM=k<6CmQax3NV$RGFy6Z;Ph#tvz$NoTq8RGzKwVUh!
z!b(ExaRyU{Tb5K{8DQV^9zL>=`v&WoYr1|lUjQ%Zw<;~P4{!rLD*ZqMEfb_axs^=H
z@Djg$@HZF{qeML4Vt9|vSQ8nEB{<AJf-5ev9<JJr`nEI`<NWE*$)v6oTU7%N6kR&j
zV%M`ks5xw{fsS$A2@RzG#2o>EGZD@1*{2}76V2I+kK*3K>Yyh$+*fTf;3o~Z>=!Lu
zu>|d3uEi+`^C8veI8nyqa;Z92Hya5GNynwH*b3b~*}W|a)wW!F{&SGAFL>?zOL|ad
z7=zbNLngF>y6J#y0amp6=;v-hwY}Fz1p;;$E!*<Dyh6xT*2MohhbxDC`1j|DQml(E
zCo-cVuDER$$T;9IU~qv!u5T5N(Py8NonQPCdo&-L7f{ni>a7<<1kwLRJxtd^L^py0
zdYGFoQ_|iE%Bpy1DWUW6-A(v-Lgh&DI*GMo#?k{*+-Xb!*p!vyV`GD8$3McyHas$>
zX-cFOr&J1Iih)%2T3hcFdmTv+Ft%br`*VP<mUKFkVvO^u_1%pBEN;VPA(yB-0!GAL
znmUH-pE|KPYAm=8UVL|l(i(Tv5J8Z&$xkLUguffW)%COQ#c^J?2YJbF2nok6N-**y
zeXuSO0rdVOAMV|oYgkU@x2KxGM^Rv|Moi;=gX%ycvPz9TG3eU8hVhKV=+tjWann)N
z4fP_T*zgi%X1-4(EmTTMF#>Vu1szuV?wmE^w_J5pzU}SiA7eRxNi@nHmuga_?fk2h
z_e;SaGAJ^t)Kdiut1|ge>z}#Agjf*FF^(^gb<wepd}?g;KL!GEdzJ65RBw=L%b!2d
z*BD0nJi1SMapznO6I2ga6X^<cl?5)$Hr9yOZhEggJhN`}Tsv-NWSJ!AUgjE_J85Ar
zV`=;`7{N0iA<HHE>P-{Bq{ep|HCchTBO8dW{@YyInHs=i(#nUI7yC7FM{dbz{WH2X
zsprSwd#a^+Hb=T?R)2y^{0OunyJJpo5v|{6bBYjY`l*a@TPpVi<(+&=WqOBwscs?2
z**t%nKg03|>YQ}$*qdZ5eI1G`A-q{3f5)!$i!PGv2hEm&Csec~-I-GKPgB|Xpy>?u
z-ILU<&u^Y@M*26{T@f=BICNh}$m5~4b!|q&ORCo?H*3Sz`8}h<Hd(gNrGy~ph^=kn
zbV+plm-^3?6hjBLfef0*?h<$B|Mk@<n-OcI`oK?9$u0WZyy<bpcfB^Qs4aUsMuT~C
z6_-I;x-8QXAzPZTh`*GzD9TDy%pQ{WUG`N>Mld+8X{%L+4`%0Ox}12H)mLA<z1@mn
zSBSeK7!-7nf!Sb$0(BI!j{W2GQ~MVqRMco()#X+u^&|YL)6(+#^2s&f2C<n|ZxBgL
z??u&HyX`_XL)(qk2<)-Tr@<%sY~v#BQ9*u1s9SZMu_tprpGtkp7Eihx8_zj3X9A3<
z1_i<2V^d)`)y~<Ojlol@#lH*5Z%i@%I*qZ(R3+jOXm~^*k(sqm0?d+_t}iRfeFO|>
zP1Do+zr{vz$blWZtl24j4|tCvMlECuY1e$B-xD@p$&04lG*5a8v1s;yS~;>7A)9W)
zd}_`#O5YD!=-lQ^vMw5E1l4=VOSfWf$_Y5AB<Py!NJ&}!ws~1st^asYS7_w*$$&=W
zhB^|MBO(2oq(1n5Yb96FR@PB=_w38NlM?d0Vz~6{xXF0W51QG$VdoVz`Pq!I?UO!%
zIuJwOrCY1QEz@5&R!Gv-$#YYJ|4r-~%q?amV^i9?FaC6and`bGtJ^>Kq~C>1`>}h>
z*b9KaB$1}o_>}5BEUac`41;y{^$qm_Gw2C(gd?f><QsT!=L%R$(tp|c-#D%aI~$$~
zqRgaliJFa#JxH3B@8PHJjZsB@x-&hJTBpI9<}$Oms8o>TVRvxs>V5U}Q6kw*upve@
zs_)Pi?D)>lsj@OBpUxavKpuED>3rn#JG(g*x}rS>--o_a2!6SxLNlw<L03NXx)L>W
zRuj{_4QGIkg4Yu0IAClTaTK-Xc-hn%LM5?m=OglBM?OF>l`4Q<sdNKx<}uKs!#4s)
zV#_o0n9ab;FweLaKRVF|h*bm>r;Scm1<@lO*us@5Gs(1Tn9L>~kAe#$VM-|D&|qfe
z!NAZlSm11^J-eU(^O{W{%TvcDu_)F+D1ExC3Yk?;m%rHKh$>}nxo;G4Fr3SR{@*P2
zx)u3!8qqXo_ZkDeR$cy>t=u1Vh?XF{L#vC$R?gi>>Vu``rf*v;MH#i!PcPD6Pb94u
z{R0a6(JNZ>er}&zC#!mqR2G&)s{1HF-bp$nS&Vw{6YDuI`i<ib4`&~G0))-;hUajr
zZSUW330g?L#&N3^k#j$H9gZHal9u9q4=jNHiUCltspo@aT<Yi74qn05lRwW<?)__C
z!1&YxkrwH?cWh<0ByEjwoPnlm*KYoaarh(zEunGTux(R@m&uLesS*0Cy%r)5w(x3u
zXK79f<z2wkXno2;QGtt=pMIHr+LL()ndc65`$1qb^g|CTnpcyOd@z%6@O*3_PDA05
zXMea){O&BP4Np~{^Z(j%PhL!y;N=|=2HWx(#*LFvjw_BxC$5<WB>spNFSc@VS{WTm
zG>t7$Y!iD-m1<XC(w_srQGUKpZTvXvjd|jNk<&m&9!9JsNZ9Q0qV{*W#}U1xbpB#d
zeuD3zvFh1T>+FT3ZNj(UwhAO;S&e^l6Tz0h?Pu8vi#EtQJzdFBj#oBT?(SOUnM2hj
zCb-;<5O3QEklx)Od{z!1u&&!+9T7#L$hGiz(C9x)n=3P6GaUqDIV*F6Xp~G>f$5s^
z(40(wpS$-IZEMRgrQmF6m(2hQ>=VD?LrALxatcW3!e77f{#Nr8gaq6&LuYX>1FV&<
z&3+YpAoRCs93MclH(I1<zc&_D7oWcj6~kq&=B-oRI`v4zutpO1hjvL^<-SlKBZ*!E
zq=C`!s=bW}mMzDSa!Bl64yE@4cmJ+g^0Dud?lpfQ9f?ia)|Wwm?KqQ9wTZ?!RY+kQ
zj?7BseGN;SiWhQ6&gKks^li9-KgsmP`v)3+(9<E%&{!c3EHjqW?3z)Immf(4$g?wJ
z$QsiVs9=5k>0TVV`(t(10aySy=<x_=H_;;)2_;<F&M9WjOatLzrf3x%s5P7Z8v^gx
zM9)yBYT!{(UpknXh$3@AB&aPP-@Wyh%)FoFP9jk+X}2}O(ZoEPz>?IE2U3RBwBT^b
zidhhy#=5-iQdzQ8+@kV+2!T`bAvE?XEYup=wl`FKE5qT`^Uy=6{MztV+AGUD|5d66
zs)mF8c@?Oy#kH>gTMn%sH9F01{VWqMr{f=cV@|+5a=!woIDZmiUtGUXOx&RDjRd5z
zU<^P9g^x5g$p^Tme%!zW1;U@aS|P9^J$v}ZL~&XQ={dh97CeCZipO`~*|=?ktX52T
zrj<3tQ|9=6%Npa`WH3V|k;2D}HFLrsKIYy6L(z(ju>!BMdc)RA!y`Sx{;Otxx1ub^
z+Ho&}AZDj7#Qj<LbtjIf1JL9Hy|`rvv#5t0>r+51iXk|p`nDu4uyN8QiC!7ozqH-#
zm+1mPE>q(PO&eWV;p0}jcuURQES~RT!&<s5%Tydy^2!gf2VBnuW|R^yG;`by2m}WX
zmV(a*Vssh%<NuWS@o0wjCakCIxQfqzs7r33%}7%A>I<`9ZCXq`E7RlfK;5?=wQMN9
zci$Gtts8PdT}5Z&(%O%SB?E%b%E6tvYsv{T@7O-NS?rpO{;8_d2yk<FSzk=YZNkwZ
zzJss++VJ0ZVDXEJvcInBqK^w76XghFQuWenfoM4}MxslaRDV7~_J`-jS%DzKjSd`A
zChQHmai!pwcA^;?u!QDfhGR{;cd49n;LdLmd)^PP@eGDrAor$vVjS*dPvS)kft{&A
z&r|!)`<Nl3!}wfFrEiNAu#H=73Cx_*tjxO?wkq6nMt&ZcMVqBx$=I(A$Ux&HwYO*X
z8}^)9nV?>)b^#lvGy`LWC8Gg?Y-gUlQt{fEqqqcD&6qHACTxnYzHuDiZ}KkJSzrCB
zgYLGJxBpvD_l3eI_y8vWj+{L+4~M%po0q?5H+N?L`-93h;Eqp7sIT5HP?KE7Fx47a
z$iwJaS61!`#`%iYPA#PY_R5y76(as((a@aJtVEcAkl57l6OrX~)@x2a>3D7gZ$FdE
z+-+P>(cjG|>&XKkWX%%TA}xl`$l2H;hH2G2>!X1i5vn>m9%CRDLmajBO}E!Es%y~L
zr!dpeNc2&2Pt4vNT?^24|Mw-}Za9RD7y2GK$$_A(Ye}Sx_L2tQ?<RYGrwN1HK<MVa
zLR5C)`dNy7yn-pMb<lqwcq6KB<-Bj?jN;*Y7rdhDV^dFKd@4SFm{%kF!TaHvGH6He
zzwOs~xB`m}fA0?~x;5V81yjEFKffLc6xvQRptB?k&4novfr!zDB|n3$Ts*Wvyq-0w
zo#Xd8XFJ2MU_8)scn(2WYEJzTM<T`dh}zbPd&aDkEXvt-^6{Xv-s3-h{66%gE9yrN
ze!lE*Il#6Ktjvogjv_Ix=}<=5^-&M6vuF2yljYz(C+p@fq}66U?XcyD5!;`>g8fNp
zox1_g!^mU3-Z}*j85%Inr&%HkUW6d)s{Mz0zBLePS=}5aL>?sJv-M}w*|#Kh2HNdS
z@z{`E3>q5bQI-w9ANi@9CvWmDc2@1wo(prK;NiTf4!>b?q!HH+iNWSfY$Z;y$YcdX
zIdUJr?}hs_sP&_o|8x@*$^G}(uN*#J*nSURdh<XU`LHwl14u*%1^S1QArtvMj;gbB
z|I(&M+#~4LV-QS&nF^jAk`F(2EN^;6J+jKwC>upuzL2nC>z`~e`ll@h2Tr^J-a%WI
zf-C}2PlGv6*P#>G1^$d9uI|U%to50Zi_bW|rAIjzVI@gXqrg|yMW9pcF7;oc6^Nv@
zXs@34k3GOh&q81Vg?zjyc*+JNXl*av)?WdD?-#l8o#CUzuE8IJnS6rvs;oX%J|cox
zK<!d}Tm{Ncp9p**>sC*XZ>chW$YM>a(tvT|Xi=R{sVcYElU<k4FL1WR(Jgg}<&@Wm
zRe}xqMgkg)krl$~7KUOdOwF!e$G5mt@sk*ilIwZ^XR2iOw@6Wqiy>4R6un|q`TYfd
zb6klYd0bFnx9lBpYOzdGKu<a;4|w#@l7^&^qNZYIHPim)fzKXsz@DXnjO<wqcLha$
zB3Fv)yFSK~73S!Xv%Ska7qu_w>-L;<`E>!<qS{kMS%nOQuyPU`ds~&j^I9(?l;xin
z<HmMKCO2H~5{4MwP}2XCvhbc+`6VDYlwB}<+G<f9KKujA7x)0^FKTwMkfothk9pI&
zFD4Jby->Z(C@`CBPd(z$9SbNj5tt$PEmv=8yiBR@@=xsTmw_FEl(PG+91Bd9rzhC!
z`MEvu^Tb9UcYYX8C*>CR*t-wguymG4B9($lv>jn?{k66X=ZPg^ZQIj>Ez(hGvD^uC
z-eDT=^r;<o&|}T7b9`<3tGeIwz{IP9q}T?K&jllMO1#Il+HZGg&6Sq$h%YA_MxjkM
z7fwv}EyEAe?9eMpmpEHQG<?wt9<=~U&;G|Qn#z~#VLo1Ou$(VLl_`G9-jU8TeBg_j
zd!E?GFZ?F1hXzv|>y43X3roF2R4L92aN{4XojTh-!j-h3`HdOjxo=B0f{A;fee0_6
z3`+5>VOiC>P4GJ@|KkZKA!hNuP&_n+^{>&UCw&$E3(v4{8e<&r`|uzy*zD5Fe;Bjp
zMl8Vs{eXW>iR-K3Kd+%K47>!dc;VV@zn$=Qs*S1_&J)!#0W&TJc$*D$^bBDUg*nRL
za^Mz3Z`8uKbE;nO$Dwt*U8+4?MY#Ktxf%<a?SM`WGxOkhYj7{DTyEzojft1~5Zz$k
zkR{g0uym|=gJ|XAM{T27a?T`QMTrb6?WYx|I=pKrT5E$|RWDML*c^BVOWW*jN>+g~
z$1DEd%(T(~eK+%vsGB)7Zd3{QtNiBx(h=sQ;Bsm$F@!1?-U(ec0^>qAz$Ac&@gtD0
zL4>sn-va%qm=C^~{-+4;gW(*eoOA$vzYOI>hN=xP?`MxuT<Bt_DwHu@w!g!22ls&l
zfI;0pB-!B6d}-|OI~6lUXB)~PA%bu5u3q`jx^JZ(JsJM7TMg3L(-)Gb{DH11YhWNE
z6(lQ-ke{uDL5}+pr)?0@+sNjPe(B$LEO7vI(;Eg9RLLor?l6npMop~WwSTkzyrj5Z
z-;I{r$z-fZ#VA*NRXZM_Xgexyt@&H}(s_5{Dp+{{?$pV(V<szC<2SDUUw}CMr`vQ}
z#jM~`6OQ<1h4;hco(%#k@F-7S!p=T~e~^l4S=;x&HM)FUQI3bz2r;imvZrtKx&nrh
zlw!9QpNyP10o8zCM0ESjIhy45Uq7Mi>OR}7{R}Sm7F`Wxp7o^_r$Nj<4ncX;xDOpe
zmaqcom?j+3a<af4$*2>u&;wg7E~G@+sDrS9so;ev|4U;ua1rE7qPgORPhYKAMZv)S
zi0Xf<Bm-=k<wIC21$2Tei)H!5I~q>j!6)_xq3k12okckoW&^1BeR0k!ubgTY|Gs0B
zBP@=`C|$c^^SZiS?uxAlV2VgprkPoN1i)czflc?MFxB}4>Df$nAXU_92?OwsI^Zg_
zvrazjiJ*xLkL;j%8K7|QYw4obKOqiRUP1Z52zMTN6VaxfUVf{~!EQz&M;pYAIr%Th
zpXhbI4UK?(1EAa}j`nw>g;?wjK8A=b23wKJ!E$)oWj+7No{a@un1Eefl>Nn{*4hv-
z^s2<3LXma9{1`yg_?qXn@ti&H@y*`!g(KJU@zS3+g_zO1pZ&uY8g4!`OQ>yAzv}c5
zd=A$oeU5AH7w3PiQI1^+2G$fNNhWHY)x#DDr4u9g$3o}a`P0`5Uf(WwTv5{oY3}jV
zfccNH<wuKYZZEO4psE37mj$a!gzdi<are22m~P=+hByKTKV4=Sm3R2$#}xPH)ih#G
z^czp)+fX5aBlOL7BQ#~1t1AmH0&+J$e+j$!224{@H#Y}Z%;yF)rec#BulO5Xt=_Y=
zO0wEq`>quR0)hL=lSy}LP=MCmC$D==O{$8tG;&=44J<`uqFM5EedTuJN}f9XeXAl7
zmRD<m_<Fh$kV5-k>F{%%jWBa?G$$kZrDD#9nLfdS6>C;kMF8LZdHPVogiP6qT=;?C
z?3r;bN};hJjBxsIz3zi$(AVE$oxDbat={XB?8NN{lut<;T?iwGytc;!7<2BA2OR*c
z^GtFa5wB&=cGVc|19+vhfWXQJTSn~Y3o(1WLVQ_2BOcwGVe_z3XIfV?lO4t7dY5J6
zLk^Y#oD_C#S{F4czB=!0FC^PI{Sv8|If|Y=i(Y6Z=>j{i(iykskzWdcp1uw<ax!hA
z@0qbAVTA};m||-TV*rXkepak?;|Zi~J$wQ@Y1pzyPl~LvPoCjZ!eZR7Ud?BB&N9Ku
z56JQM7vgs}<LHcGIb(o)XMY~I54eyokYr_m3(YOVC@eadj`v(V!v3-T>JmOU=tAps
zch()f%_|P|2F9FRyK<hjH{CLEB86fiymvp-z#m5}|Jtz=<+_S#a_Tb|7?>RTWooTn
zKCBKw^fIVDyC*WO_20w4GAf@<sf0C}jDUVz+KLTQ_m>-9SNWuEDF@^kiodvZZriUj
zPGmA?^^t<*i6Hv8<f<C@X#B(D*=HA3g!}7}L=nrKxTQx81z3XF_)SKrc;&%@Qo&9z
zMxGy9k@CUEsNTL}!YI*w^|uYUa-V5kE4L*<pdRvEeRsDUzstOhmtV~`3;_BbHolGK
zO%&Ew$NTR>x*(3k@LwW(X0?|Gb0)QEpVDS5eu=8ew>**RVc(Q%_GO|@CpDm^aYNC(
zVf=Qo{BdowoVmF#ScMB4Dv@WCKK^WOR=&nij>uE9TGV17y!u5Me(h}O_r>LX=b#1j
zzy?)2&9B8))o7vfZVwBp4+|~Plm9#2qUwDoSB0UF9|_~+8vxy{h~@Mbv-;${tLp2*
zE_s+4mfG}8_wj~;l*XkMU6~>eboOk-$^N%SAIqyed6Gbep4_voaFPf{Trktf|F@$?
z1t*lJWy{1V3y{Beai4z!X3MlH_dG?O8BCRFDnn_Ls#v|;4luTADIqO#-?Ab{_CF?H
zP!V2Sqy4{Dk=2#1|6(7#;YV0GEdd%qIo1`TwVQZ{eSo4q64}hty%U|;<x42l#jb|X
zU!#qKJ>kVFo_>2sd&P??@15U$nKPEgFd=q(aXK;=!^bvcY1M8Ss@!0y4q6lb+8O=4
z0^mUi6<;<CSrKxbdZZa*)|1GLji0aWm_n>Zdj7#7i!Y<<L7es!{yG&upo|(!=6hju
zGVg(g@Dk~dz8LS@P}HB|jqz@g5id?y@&fuwyEwr4wH+32BW+bM5%B<A>SjJ-l?WB3
zdRKH}+g-=Fy&j&M^E8Z1%a<aUr$ktZMm(?esGETGYkAv6_vFFWFLITbADslkEn>AZ
zp*$WsyPG#9?7M5%KAAS-*g`g%)6|EHJ^BLc2#i~AxE$wpRcMBlX#S(}#d*Jw;Ef?>
zBGZTHzhBzguH1*3shP&fykJ>oj3dB+c&TqeVE5OELzc2*6OVDx)L8O~Bme=(l1WRh
zww!#M?epPBYheLXI=0JoMYbVO*J<fAYw2n|67nRN0dyvwr&WeKulz<a>CcaHvw(KW
zPO?K|WDukM*(dMCBH8F&78lu2{&}(kW0%_-ZfJ8Wu(5c_!OU_MLj}?blPyetodFln
zH0|;gxNbW{ce=_!j>ALX^d6P1@o?SrqT8=a29j<dTz-3;Tu66va(Nx1vmHutE%Y$;
zPO)EEt+{8v9BNn8Q5J&*(LQlN3ml)?O3SESS7ppZo?>nPD(}W5UHq1Cgzy6o63q6!
zD|JM)L!KJBV89y<KLi3fz_{(~BAC?|TdiFWhty<+>1``W9cMC5wnbvPqR}(%9J>bT
z(eXZPmJ6?l_W^^BGj}PXmVi6qp&ix64E|`vKU=I(LQAgi1GYr5gco|6vVfs*<i11Q
zhD!|Tl;1Juvj->rxopVN#%-MG@58pe*Nq`@H}l~H*~uM|6IOfX8{1lp{aLKzKx;kz
znFsvOpA{#bcNB=@-vWA{??=cj4%>PaiYJL!{2BN1w++Pwb=+O?4xcInwRl|tb+~{h
z7Oz1xBcRT4Rm*S^lcpLZT**^Hv(+=w6JO9&j}extoeAl#X5Oia+HCp_HASaYl*V8k
zGt52TWvjMv4GrqG?!~NgcArkW;JV|`bdLtb*T=2Fn0{&cxkO|9*d6FJ*oBrp!3-Vg
zxVyty?b|u)iXVY)d|^@}phS^l<zOGFQEpONGokyPrq<cuS{4b73LtJeJ#W_L4a@U>
zTSe8wGvyJ#^MRq{jXp*k*T5F#I!`{}baG`V%<X6HCQ#@E<mM)m?s;OGC6CW-oa(!4
zBp}~0gQgEs_gW=u;^MFK!1H^NU1w)r;<9^oPbyZza%=gmsN??u3QF)<eh8=Tw>B67
zdB?ER&lmm%@wAN!AZci7bN6;i{|d-L0gb}w?5Fi!sth0Ztf%b~k7gOZI1<o_Ncdm1
zcFh|Fw{KKz(0=}Gvp1r#WjeL;>_MJFS|dp`zjhaq<wNim^m&2$&Kv$B9+Gzs<QkfD
zNDKSF#TiYkC5|f;dy54t=at>?72!6GEL+tV?Y99wGoVnTNr2&Ca<4~`K#r%}PYHeX
z9mp}{+(c0a)AZwA6|=5?YcEwA@WNTwX5g`l)~fd~eN+4w8ycJ3xSeyQc+P#o$@0LH
z2)oRRU3!anleHo-@n&g1bwb`rQiWLouS8j4C4ol8T(;vG9b=JXlphaXL;Y5!?VG#@
zPpk&QZ9FWzTY`UTL_o9C5}VC9OXu{th&OnA*a|=~=lc3k!c8+wvWB3QKh>uPl@$)q
z;gj0h((-t5+H}^$d8_Z-|CE&mHopmF^RxZcC}me}74ApT^RP<~TE&c|*&(xpzClVs
z|Jf;q#)3xeMAsEoOwCPj#$`2(CGks*vGo>&bguIruojx4H`LI=94Rc1AX>P9ZczJY
z${Bc;mJ8{tu@*&xYjb%fs5y61JfEqJjBl5cfj`0&oL<^pX|yUn?>j6T6!h(W(<z#H
z176)49hIWX!5nGC?Jjlh!$!tQt~fV(Z$!McU=K>rUQ~I=6hQR&$+t1Uw0e&QLvQrm
zeSiqt!U~Mc?s$;FJjY1OG`5s!|BiPXqFw+8Je?5bFPWhQbESEtHNVZ95zuB}f6it>
z*pqBm@1Xclc+BHd^B`whB^%!_Ink%6Jhu2L9&N-G97$TR`sqEE38lM4PQ9H?Xuxtd
zr4i*dlG4qi%!+7FDq)eV$z)7ke}bm_f<DpQGxbl}2VzJBq(zf)`6e>fdy$kMMg2QX
zsRg=2TIu<;AjAFGpn5v_-@fH?!(|m-d5(PF6|8PlZ}@#C46Cf9w)A>u_bzf&+}}p<
zO>STV&MtCxXkIX+g`QE;dA{-*M^F>O{r7~^neg+!YcdK<Zmxlj^hQ6}iR>?`X5;Gk
z)qexXvTfIY71I9^jt@(A=jdD?$v2+vv|os|meaQ8#SXJN?LGc_dVQqVFG7Z}7?QdL
zG-*0QAzWHaO{5VskdBVL8$C_e>|()HCB36L&4)ILLf0GDzsRSQV({P-!6vZuR2vXt
z-6*Zuj$L(s&H*pFTt#Eu-yc(d(Ub{Wc`s2Luc(GgP<w>ld=j+y9?YL|Y?jy~a)=4f
z4BGjQU<_whE?_HO%18}3-dZ(fy`EA&hA7$mjsfkE@r=~W^RABSzE|R5SZNt{Hi5w6
z-WhUoz~Op!@Stv{1?kpTD%l9o|0L(dnyEl&#J*1Q*A~ys%;MJlTp8}CsC|c54~|H0
zA^Uy<)l%VK{j;!Y%>Vb`n>)P-S;{iBh7X3vn$4|2S|C|Y$&2n)0>bEBo=;ojx!jb7
z1@4xtJxR{BC>0_sED5I&-h$JJ)}^AU<2`(05_q;GjSu8^?NdQH8;74CiWkz2tjUf8
zZ4guqJ12xX-cc9O!k*W+@IN!?-V4|T#sQ{4lip2L>oSG6^pyGFuwsXT^QFy5(HP;T
zI#mzCsV?g(Dh*H`0TP*JEn$#zFS*VUsmi)!QvZZEh*H$b(LB>*%7zzx5si*=*IlR`
zkd)9slEvo*<OVaGQ74qyPvY!~7hE^SWx7D&iJ9HYj>{K7k-J%#cGB}#&%MdD8c<gg
z4B(V5l?eu%-2m`C82m0@4TR4}gK<eOCO1)Rn@QwC?nItaldH;|l>YS}{EnbS`qG--
z&s2wx`DyH#fboQil!ti>r}j0kcymuY+BRKya-{d}3|SY!=AO3I%^sAbslNDlxP{kB
zXGgtbsRp;s`A{5;u*m^+7kDa4gB{V!>5GTU6aT0mub{rj(VA!_8#<)giL~00X$uWe
za@@!tp?~v|KoC95v9mIW(|ZS4zdwOYtm^fm?#<KV5B>Z{8p*TVpPiCUHZ|U;3~?j-
z(ORYM5L!(7YzfSdA6>Q2r@OVLV{!#PWz>hN_1RF)u7rLUD<q@;yv2naj^lsNGqL`*
zrQV6+-j!jZF2D_lj>(tssYorFjn8j}O+VPILCs{_0hXf-zfB+NLJ$qm{4K}onk6}B
zqpxuusm_0e8c}LA#xPP36k#zDP=--sB8IJ>M@`xhR?h9QJw|5l!45V|Z`8>Xy)0aq
zqVqVuA(i9_G8YV7=f}xtKGDrL<tUuCpFXZzQRAMIDK0O&l9<+YUFVy}RloN_gkG(r
zpAaWx`dC#_#A?W$l&|@T@)XJsRk-^jNt!Mzk9SBUa^cy<O(K9bR>Xh>;k5&QWLcq7
zr}@W~r_XMYl#@UbkJ@iV@2LG_cj0IBj0ts*OnP7+N%y#7#?sk4%J4<=;Mc4-0+nKv
z6<;0tmR{}*n(u>n<`arQCRyQ}FmtvbqIuc9l(i3h44-}|A4ydRt;h&3piJ#=#oJ;r
z{AehVx~1ci7YEct<E(Sv&2@f?!sBcllfId;TFl4-mLhfuus_2%`o2CEe9g}t8P(Gx
zep4N)v<ISKc`h*pgMY~r8TX*1=j@r*ect8H#OUa_6e2QbD^;kCJ)gkU!PPp&SbAXX
zLxR!lYB9j|%n?<+(t@&$h9_OR#=u{NkA&IqB{_bD2BNlV=FDvo-wj*1UWPhMy}1#8
zabouOwWf~lqylUgslIKOFsr5~P;8&>uLHUh4em?L=oUuFUP1ZH<nv8LDJEbd#;->@
zNpL<Fndb1Ie0rk8{G+8oeoZKp{b(l+V2Li{v4=Acy%EsF*&975x7x6nYJDlujI0z|
zZ{{w0B)g?A0HaweDy(FUw<X>$|3fx;MV=l{-y1F=>h<LpRWNbeQSkGrd0$TcXU~cT
zvf{qpAjAp*g_6RXw{l^Ng~VMKuMseoSxUv~BMl$_-A=$H@K!8ftw=1bouZ+^{BoSn
zrNfM$w2R|opIHgcE$nru41GOQ(TQhs&szYrO4#&SDr7OPzy`<%<ZQS%8<Ox_q}(m|
zGm^1p4M;Ws@%E>lv^>)$tP3^n4!#SUp4q)7RK`-Xp3|J56l=bGK#OTR*!+`x2F^P;
z^|OBl{&<co@bIJeZK3E1tsIb$`dk3*SRf{-KvXRD+O<ioeYr?p`E{v`-y@A3u(K=8
zjL`p!KjE7%u#CYavIhc2bWqNF&?Bw9bKToebIE5q80XGo6p%{7pLy~?VD`p2o+x9K
z4!Wv>OB6eE@=0K?TyjUfXm7<Y?r`Q84Mtw~Zx$rZ%{~sSn@(I;x|2><YDFBrX&9ZT
zsL<1r6pDwEA0LwAW)dD76a8x>aD^_&P-?e3TXvy8^BH2EOojRUXuMe_;OXwSNj}?_
zfW&WIKl5Iyc)fksUrxTe37g!s8$n%!F#w1_+W(`;gJ%EXmU_GX<Idx)hm)ZP2H@3a
z!t1$eQPQ<Qck{h`1Ao=?Lk*AmbmR)wR{X>H0v?~;0BZW=+K18QIURJcbUAS%c5nW;
z6VG3I)|*ZJx7cuCaRR?@1=5fuh~-|1LT|22kuuZ9QIcH!e0IAu6M6FSjOdVIkH%2y
zJ23;m4faS+POta^ZIB9tcMIO<P5;K-ce@o>vj!xAb!sF~qsC1&7a_cTKg=3^1G_y(
zeRFvGoNNy{-6bzj`*zru+wTw%DLdC@TT6ORvV*lLy^JM@2WAgCtM(O3mrB`=kiWwt
zs$H4@GjRF3HuZn-*y`Y4P?j)PeF-Pccq;(avii=5g^$qb+v6<${l1vP8D@HfQD3v#
z04gcR!x?D`C8W{waq0PNz-QhsJ^43q!8s<(?$Wb{xlk(%OT*B@SLb?BD>B{rZ~w!J
zu;|ae$x&^+J9rwNLkhSnl<i=y?)Eczw$2~J0=e`ys%*vezeVzfFT0W-XZ-06Xw?Pz
zz0nJ2tJaM(hyB)p!NvzgoL#8jIOGaQ>i(?)7P7#8&MIVyYpCZw_U5$@mPstDMiLdZ
z5?5_~9aiNdAIV#ug%(u2Q#gFPD^e?WljhM3szIO5N#)9vQwfGOI^Jc50?-x<Ud&#>
zru#aqHRjS7H#KIkuUJJ^4$3c0MIAh!!~p2`CoKp+HMVR<4G=<}W7!-X&7p2p`^TtI
zQ`TZVX+E@as-*B+l}}@2l)7G>sgtj`Fhs2G8@&8;X{;PvDYH|jMZh`)<Ms*cO5MLJ
zy>$rjOJ+Rwo4Qub_&_*jYdouw!kQt8G>g0yI7s|ujLr*}I{u}^QV6M8c?kS`2(dnK
z=q-6EtDoy37UJ30oL}vk3<A2FXzYbok&n|b4RcZX$eE1DbpO8(oC2)<1UA05-vmtL
zH?#no<J1f#ZgbZ~UFhZYiwg;whDZm(Px#Om)W&=}h+VU~aOaXJU&VH@N3*9^h{A}K
z@3ljAW+6*p==yLqd18Zvwzu=??E=jBt<Fp39{w_5xNUg5sy`K*86mo9sc(Mv>aMO;
z%c_x-@zJk8JEx0m=-BXHTIhh{z3T}7iWt~#AIJDRQ<gIc6~baELARPB{~S^V`#f2?
z(dK7_cCo0ET<cC7KJ*Up*Z}2jr&_TX+fvD_e9)Ycc8)t}<lSsD%mKm676H9CACV-X
zlq6=gdEX~+0Ci{cHHaNm9Z}N-_SkBpQ}`%;UUPMy;eNXypoVw2VP)`pAvn<%pCGZc
zwbN)HWS2Yo>2kc~pM!Ug@UOmLS`SEy@&muG2`>rAmf{q=&>Qapls~p?1omFp|HhbX
z89IT@?Hf!voS6`9Ly-<8Iln|bY)jH-k{-wQ*DzZ82n*<eIpORWNVf)`**neJoViKw
z{X5!nWdFz*Q}r{HZE(lLL7{D|S<bi2Cg*J}iZsogznCMQ!4=6d-lm9(*B^Mp_jt}7
zC({Y2BY&n!JfgTK0QlS0RB08KvLCAaoDm2TYUAy&(NW@$;iLOED<Jo$swB(qU6cZn
z?8x!vyr4I1+_e&t{%s0zA|pq1Qt>}TzlcXWj7vZeu+qsA9@LsYPsGXWsk~B4Z+sv@
zJ-2boM1L>)$Kl-C5OhRebz>_|G!Ev6hsO95)lB(blIwR6J7Yk~z|~<w?tGZ>2aU(>
z4sF9JEFD;f!;@;ZWVkT&6!WawiH_kTq7oi8XEIUBTKNl9Z8v~_)e=Vx|7*AA)_0Bt
z5}~NwrG8wCZ8x<L+OmZfDmI5uI4`VF?0)v4fHQY9KCT84H(H~9_%&t+??DMyu!W=F
zLBNp+ZGmoH^CG9DD3|N*8I92{7{*K)CHhE4ahZ%+0PhK)2fm=F1+~w^H3FG*JqS}P
z=y()F;;o)4{Y8tsQ{`7GU3*OSNc)k_KV+$f?zef^x3sqq79kzfG$TKf98`);Ik2CT
zcPtNY5aEDlk|hwzPY^=52g9jD30GV8fSz(e-m~tDr((P80N^J`z8#FP0V1g4^(mv*
zi1_}hhq5M5)rlZGo0N9Hxr(|knIg#}spmdvKY`^5BlJZh%GA>;zjE{H&PDc6YjKK2
zo_s!)?cw`T_Q@Bq#^OCkpKkuWV;N3NPe`8dK*@JL={lN&D~a?+LJl#SN^D4TXS0nY
zHLr^w?V+v?uIb=Vi!_D=JqL9({CTICgDN$+rFk!fmimEIYPI+~d#PeU_bz80y%r9g
z+vkH4E=^lm!Zk@H-qp%GLNvxU?>cGtMdsK9WSMFyZF?Q`TDYU|IWHZ@R{TrJ867~h
z_aEFf8-Vn=|H!EWcP{~Qk6W_O@B^`?)=$&YlPH)GK$V|+jlybCBoYvhp23atHwdaN
z+mC^tDZQyE5)&(bjsVjFuRi*&D(FFubKUGekXs2JC}nLqxZB9Jxb~X}dMZG5O@q<h
zF+)3(2*z3MQ0Mi$3)@WO>@p~VSB~TQ_x55&dx#_G^1gdpduu*eym#3w+4+YbJiCzf
z);mzEMR5^gUp4g7vDCOtDl*ry7aJYEZ0`UfGazl<eL0Sxk`~+VX9d#%%5O7R!{up<
z#JFLk(3C}%x>A;?Dkt50uH^>U(Y*)o8;89QdE>Ua-u7-i8SMYxGUBJe{l43J*8a?P
z35E^cPFc=Ll=Ek07n^{wHnP6Vw3A&4$(uljXeU;dy>Lc!SAc%Cj0n3A00=uoJriIq
z;WqEKt*hzvmSnH3jWGpOflY<>wz`SfGO)Rtjffm`h{y11WV&0K;{lCI;0REj4B=D>
z>q`Mj1Xw-QHG!Z~n#r9HQg22@?R8~8Y#=C%9aH^&)a7dUZrNHwC1Rcb!pxKOWF_Hz
z<x}njFS?JUdnJ=gL8JD8JJe{KO{tFr_WcO!@+gY<ww<xud{0>9VAV^=F^aEFYrJgL
z*QgsR_0QemMy(Rhp#$-<^Jp<|0{uWnxCzVh!SSufeXrMdzgt;@qXxK+XTruN(2S8F
zA^-s!ZX|pPJCgGNV!t&;LwOa#c|h$4UNl&+=Q@-Ac%FA=>;EMNviPQvtEeu=Q&o+}
z<DPAV<>Df&>&vg8I9-4fft_QAHc&Nqd$1_g<dMlz0e(nflyIK;6WL>2i(?4Z&!PpE
zv!t8f{7kSSh-Q)<eq76S`kH)l6Oh~gr>qi!Pc^w40E-FVn%&L+N7Z-uQysoxSCV8U
zdzX<YB;(l19w8K2hmgJ3Id&o{tITi^LJ}(5Ip#5vz4zhR`yBJw-lyODe%@cdzre@y
zea>^=_jO(Ob&3BCc&ZGC$v4CMV)(#574W7?B72|kT2B&JUf4$0_A;elR9VDe_F4UR
zyUIyCXRmaY{;qcGtkvHI9KCD6mTOc?4B)fNR~0*&6zky@8&Oefg`%8Z8l2HYO354|
zqf3H*d3<EWj9Z{M3;EP>Oak>W;oXw5`NgBKm4JJZplr~Gn#DlqQkg~1SV>poxZ~tC
zEm0<fe{CTzT!r3X--_$BaueUsvVI-E<1&efERg(ugCk+bq$aphSrx#IUqK5FPTb7;
zQ|Ge#T}=BePLp!r{&QXmV|THiI-fWv%DkQWREzbqji`Ek^sh%<PIo^yG^QvG*x+v4
zmzv$vqP_f*is5(v?d+(NvsX(ZA3ljP^M3X<A6c7~YPx7Ii}3V-P7;u{gw~5pOP>+P
zbGWL)>S@`}1pD%MMerqSyk%*Oi*)k$n3*%ZW=T<1nJJ!XJnMU3(hz;YC08_|X18lK
zSJTCuOU@>F=aNLpMx&OMY!xq4VYOJGWgpQ2iWccg`gLk?Ht+$8{bZ=AiZt4aZSS5+
zlis^F+X$kcTkW5$!fC}^ld&%g!WQ^3R&&z>xS}ALu#t*rMYz1TSUm|Ed2L6Wu?3k%
z?%F(x^V1){cgFy)Nn74>Eo45aUoP@xF_(lCyI9Uk&C#&PRJ2v0$v7JXRndEgy`Duh
z{^eYHBZ>0+)Ei7^t!jxH57r0zFEVA(%31UYGhM)IaYMd1skp6r5J|axe)AIqMlYvE
zOTQ+~4{m3FKS889e1W}bjl6ZrXc#&DZeE$=Ij7IoWoX&`!^T#mAALIaiI4dk`9b#^
z+dO{B;Q@_1{}lfZFQ4j289DUnBzMz6wqm>y!d;ZHmod@ZPCA;N#k-q=%uUBF4>9CI
z>#lB^rL2WL9Jwc(A=1;G_{}S|g}9yUC5QGR=$hD%3FiHF2eRC9c{RtN+QQWxyQ4lu
zLAJf>TIl4^<kG-Ezl}^7L0hvChnP#ZHR8Xu15@Q*q2OUt!uc)Tz_|TM*`cESarbjt
zS3tjF<l3~B-Q6K?iG~TEJX0RKz&_d2MmZYvjbRSYULg8?*wf-OiZySL?b)TfBE!5p
zdsU|yA!ysG2=B|8V4dqaCU=!<h8v2ZeDC-Y!m(y1+vA)zyt*}BV{Z&%7}>I5-j#F_
ziP<-ZE1%zznB-pe+#OTMNf1M<Cvm&}{-xU<Dd5>_M`pyDMeS*=6kuXB*m-O|;#+2j
zHIvoU4_Yxkh-JUyaHVcOCo+ieAg(#FeqQs_=0x~09XUPn*)`$FkER1t*(!8x-g7Y}
zaWw5nx}LP9Zw%?Y*DE8>Is24h64*z<w7U$F{hSK^yk1S}^Fl7MkIru`3snu^cnK{0
z|GagFs`aG|`9z>n`Z~MQ;9Pe)K91eexA6a~vV=Ipz3UpyYl2!l;iM<>FQ-{skkaHr
z8HJG)LdI~50H4nvMRn)MT{oh$>W^enp_M)jS|m72bYw;xCBEk8s(|xs&N=VU#-5YP
zuH6A?_54Cq9+xiESef#|^c8=42*yTkc6D%?<33#!9{gP1=rvnb&6T#cD@&(0M7r2o
z4r?(&f6d_A`VXfccJ}Qp_9$v(;A^7z&AgTdBYrwl0geqY_iN-O0+t@CUBf^6sF`mO
zKJ^vdwe)lFg$gcZi^Rv-oW)+t*k0io??IIU08kjZYtvgK_7?N$XIoz+2A_3XyZUu(
zjDAm%P%kB~h)~9baE60Ryy?P^G*NxSujK;srB+9yW`Yd`e=(9S{gLdcpS$?YedRJH
z07Q>I+s>|6zT?ss{Fw)~oa4D#yAizMy-xpPV#npkQ1Kk=Nh)+C&!N6qg#pXm|2^{t
zLsH(_lR^d~e(cZTqfjkWD{p$<SmlHm2<ilz#w9N-ziN6Oze-RACmYf_&ae-W{sJqt
zhnF{RWE1alQV>jfgQw0~Qx%w&)J#rU)`P|7`*x+8_k)b9Y)|r^7<)eX!)J)Sg-ROx
z_@rNqKy5A%;b`6ves!+5QaUd6p-J}yA7DQ$L@t%Fe76W2@q(!ZZy$7K$A`IX46r~@
zqLpdw=im=XWjod<K6u^XTC7vsCM0p#D6YkynosXjh@DDQ?lR(N`HzX%2vd{GAazRz
zIDNVYy3>BE{fB6+6L9mD_+-ZQBDA$xZ_UNn{_O<1ZgItIsi+8);!-nB1sxU*MJ$`!
zW2Azk!jAQnFoC<*-;jW_=kHz!sMJ3!qhU)7awsg+Q~Q%}B6pnj`vyJoEce--OZPLJ
z0k><=H_VeJ8Z8MsB}jso*PdC4-n-rizwKHp!59O#FdBApdk;)sk_{g9-&4QvT}1*5
z>>!?CIHkt*VBm~gW+}8+yF#$Q&<)mc9aBz@o1c(#4c6siZ}I>9^U74kp4l`}xZ&K;
ztVt|8iN~|-OZLto-)(}ex?FXn)LBZy=L77+2?Lj*C$yEtxl65bMp|z`P&=uP_u!kY
z>zG}h#ygM2FN<HQ<&UIajIRUt{9gHT^4+D5#Dm!)UMV@6(kl#3`egg>h*{^-jV9eR
zcf2|`&C96u5p``MwgpeNHJBRHevVXSAJ%%O+L@Q3Hb4;R41giWqP7;(uv0s6Bh)}0
zqw=m+Y&<8Y_-#8KQ*FOz&KD!Ms&~O^x9&JBdJ`spsQ$ht{RwOKY&*!4wnWVCSD0#e
z{&eC8^{vFB8{%9wQf{7do9Q~hTlC_pZ(ld>lJvuyB@fe@O*z?SqPf!piy?^`x5k5F
z%Cm~pIM0z>w6Jc$@leg;v1Vg|E~MG^qUlP|qx&mH29=bs!A`v`uw7>|j_i{VuWt;C
z4@j!bs$z?rxmWiS;rjERZ!u4|xonsF9vI>o-ccr*pDaF`$V++jAIVB8X)Pwd1ld9R
z2R^uSHhEe|IaS?3fqNBu87`YD?@b{4Qhv<h2x<Z4ZwFjTMxV`M)WinN-hQxhq)6FL
z#&3&lC`fV%zI4c+sI~>;Wka!O9daIA;&W*?se5?s!Zg_Zw3|!Ol!~~0W$VD~3S=l*
zc$Q^c`izQFDuiLl&8oS_C4dq)_&OT(*4v?Rlb3*E_J5YQSel69v-Gz85m9c{gCq)v
zL1@L6s<GwkoM>du-%N9`>9>_b?>`z9naZV7I{mze9$4jv6I6+Dg9}%-zqYfpby>q9
zpc!_6k0hbsZ*C@`lBZ4ON1Ltqc<zY_ranB^-D&qCzd!eK8K!x`g80Dt_OJOU?)2q`
z#%jMT4W7f?V+CR^8H`}X8`VpsEJ-MU{!~pNlEraMJuDhE3ht2dN@t;S3*oqUHtzwB
z_2tfs$L5ysEh%+F(T};=|NB!2pvYgvY2H)W);~_M<Rh6%wYh~(1IZSQ2-fvs3}1qK
zP{KCgE#LHy8}8Rlxxm$*7(!+S(t}5hZ!XYZNBeL8c>{r_+bDZ6l*|q9`FRg+%x2rf
zo_$dGp<~eDLS4$#82_=2dnc~0lh}n}RHEDMPkXgrNS9hrokwv3HDcMxt;@)*eA|Dm
zGdt8rZ0^?rRSZQBmZz(8fNbuJhe5!>Kpv@=N1uVrX%IS=Gdq^q%XmD;W7aio6a^`v
zz*V%tD_!7($5DjB@DV9n56d2DhsaNCx~O~p<1s!5KrM8GXYuC>seor|$g~B92|C^{
z!!CM`+peCyefBP9=ULRN0E+h7{*7*4*_E2bN!;lxnM(|DCmiEysPo&h5E7h$i1)Lq
z!plAGbp=Q^(_dO`MWvD54=1Ug|GJVae$&_Ur9UBRo`P2fH>VxydLf<nCNxU6Z84dA
z>D2V{MCoupc^t!kZ~H5utN94ywlsc~Ck3?ZNjsE(By~E48t|OqdE$An%F<k>DG}k_
zap@=AvSxSYPDjH?wte;|NB6>$m&cc4>WHGn-b7C-*gI!Mp;2|ipw;n3?pE}KzHyCJ
z)qI9~rRoWr$GvV%1+P=}wb;jOWGJ$h^cAv2cYfbM$@4oGk#DQRj;r^GH3h!uz2j#D
zyh>G8Z75li{OGALuP|!3Ah)Z^Y@3sNp9Q@-TyLjXVlWW+^KpB<u-mZ+o#vIjZ1c<E
zkm<iEQBKTImV%c)msQ=BAePK-6s&q4@73i!)kW&D6|9j{Z;6Y3cu=~YF+v@CMd?M)
z_V!m|wI&s{5Z8Dp@sw5mU_}-^yCTPXX<GHt8PPLuJN=&r(*}iyL;QX3I+pqhv`@>Y
z+h@!s?)f11Et*zTE7KmJB;W0B()Fx0=CD4sgc69oDws6-tBNCJ<`1}iJzv28x7BR_
zgfD?w7c>tQc`J8;stR&aJRRY}G>SF$fv2)V7bVYMC4h$?{FIus8KFfw$ztdU9Fsz&
z*=c3ahY@;lkAkv5nX^<IfB)Ldm+<3&adr;6y3`88;B2uDw<ra#Upcqpc2&-MSfY{m
zy`3-dPMsJ;aO$fm1<{2^EL2OYZ#2pef|Gj^zbV<JRPb2UB4<7|9t~;me3!3y(X+-I
z2S!oW(s7%Jj)Z_DjRO}yx9w^7-6M(C;}-#O*Tx7|e{(O2Lzbqu5RA~HKfpL)fB9?t
zJqfgmYBOiGfc#{$kipgWbOB|(xJ|B$7-5u6vt8sTpMJcH2W<(DlS38X`OlQ#*$0$(
zkCHR`X#f5>SaN<4QG?+jWJRGZ=P+TdiHJ^$N`6?k2fWjaS(rl7{zjx`u|<;{OC_<m
zoj1|t52&<IxQS~0oOiiKm^R&!X>FC%?M+TU27*YA{Iw(Dnz!d~B?BrYr(gYpW&FN{
zP4JWpk;P@6j@(V0<zkz?!Ixk44k95baRY9<&!T#Xi|g#s!1@n+Klr?VKa#~8Iq@Af
zpbkByI1L52o5Y&+Pkdi;Dqs4G?IKJ*<neOvHG2k>QEg!g<K!)nDbhUWRgaqPT^bmk
z{6P0d;#fVZa#L_X{>AgLo)h9zL77ZL4^5++g_3>lNiAv#Iuo8}jTe20;m<vr=pIXE
z^HH6OYlbaPx%D3hoX}~$8PL0z_~SLToNzr}=s6^L^i(4pcF}P%MVVL70s3Q_!_Tx4
zA6q#*0C)BI<d?~VMy5rk8pfmMCLG}~sa9kT6Xu>86oI8MF}+o0abmk`WMBHZ>YaIi
zr;y%uVyyJK{h?+mg3HUr)g^DsGKEEyCR6$WJ2O)zTX`HupCU8vp{_`YTDR5R%g^}x
z;$gwMwPY9Wy7jZd?j%B0RI}~=MC4Zm?V?zN!?j&|8<*A6F0&<$XTV$q3)3QAU<AHl
zoZ$Tl(x2S2<u9M*aLauB0-;qUJ8<?ahCU2VZbd$()UTQG{pagE53LT9PVkak>~vCT
z(A(0qp5%Cma6BT(339S;e~h_hHIvR~aZ-E<1^ly?wON0p2bpBi(h9Ob4+lEJ`D$$x
z<Rv8SKJ{h|m6?d3ScZ^5Dx5O(fQ)J4coYO-zRy7>bOgdMaKj-ak&77><<4pcqkG8r
zaB^%S_#YB?bSQq@y~=Cq1@*j-B`;wdTR)$X7}IUDQS!Rvszo?V`6O*tgkrmFDRClQ
zI`b*U=#*?fuYUYbLcq$L50J(upvFLq>vtd@Ep~>lqz_B(0zs%I#WMH28%@0upTswM
zik_HWI;X14u}{3=3~N)pS8HsYd<I`*bQ<m)BTK8^!IaEmW1fIE{zOyT%Q$g|?dAu=
zC-I-4(2U<v{%SW|&R_2-Nsq&o@}&e59-zQfZig!aws+h(hj3AZTCzaAxQ(GG7B0U3
z%lJ)w=?gqX*pEZ+IC9sFxE%r3e;#?nbuC}D&ke_G=2bU0l}6rhN)mR5B6CEzxJpMi
zVvgRGwR{8l5lQ4iHLB7nL5=1d<r~RXwf;}KW&3?vXNK1DeqwVMI>-6ayCI)k!;_CD
zqlUU<H0OpY_9nl$z%rviOS+hwQvw4UH-R7JBiQLghfi+GnibIgda3{$MEpHylg~UD
zJ0VEsZtsFyllKVzRo4ur<yv@;USvj$T+Yy+iI;G9P0!BF^O?_~fjVU)$#)N8RnOb=
zu*&PoXz3&YwBto|nizVGTe+*^!<I%*^o`t^4+?HoDJFxR$Z`JxdSU5-LTu%uV}$2R
zc-w0g#3+SPtL@fnNo&@~DB~tB^Z<^3$Xi*fTy+q%miGScJg<Rqvc!c0^7R=x%fdAJ
zx1)F|G+)^9cBG4!npD4mjx<k3O6HZh&2$k|bsWk>w^n*p#eK{}Mphg0%d}eN5O)A<
zg#H+)A4e8ii&6RQ96G`Or4|}sS1It}aaAq5LkA*B8m3va3BTdW9-D<*>{b@PMMdl=
z$>(HTXVUxRFNH%)m_W;NY1;nN{mEW=nVU=W8jfVSVk8Tb`8h(pIb{g2Z=LUD!qkLR
z42R_oDeu;l@3Kc5`hQ!qd}P%HT1pb%jcO9-Q<}`^>C;P6VTM~LJ(u_@Yc|N!sNIU8
zpEMg1JuS>WXgszB8(YpIW$ZK?%XwD&`sor5u<SV*O&%FfbIH=>U7_cdBY43GUp8Zy
zD>0Y#-OEY%-%v4BJckpq;;V18F3OkJw^aT;jF%i|$SssoEWOV1-Ht9vbSE+m-g51%
z$FSQ7ofGrH-B+wsz_KDdy7;P5_ZzITYg{Y5=n>5&fmq_`WzW-y{momF^$FBZzpZ_H
z%Bea?t1XF@AP#sWy3lbiUfjY^^i62CtL-l6?bE2)a83^+zK{_HL&5~A=Err>X^QP>
zuIf;J=bu<Dc(3cb=8ddai9-Jo`~?mq)9yR=clTZfA-R?=F>wDAGj)L}$yR?hlD98m
z>8U?anrZGmhsE==s!&=ns?-N7Q{F6?qU9;zBU1?|<?;USJe8p|Qd5HyXpLL;_Qe7T
z?$*KP;&9NB%S0!CkJmyYwQG^aKL{aPnU{>ZLZ+*a7vPk*%$nm`C`I}x(pYonl`6V+
z`033B_BDw%Ju)e%xBfGd3)5jP{AE|-O|=POG#L}&NHB20P5uH4dRyh2LBX9NcT=q<
z#3NufjgPEQr5x*E_yt4O3g|v!SNLlEe|+_&V#YY*{(9H?=z8wNcPMKFy?gDicI%!2
zKJ!!N7?8<V&KuE#FmcK=K*O4ByNuz(-MmI_DAcF7!d2HxZ)=WvecK_IdMSnR%_u59
z-n&Jk6#~6jcP;5ml;=IA`i?qPt$u)JtBn$`RCiJ#oGz+Y)at6B<R$6vFwbJYowgkt
z%jz9<4)>gc$|}yBDhN^;?mcsx{dXFEX6Sbn1~FmsKSQnc)p*IokFgncf50?+wqD<^
zw-s9n1c|LLE8j-sVft>NSb*AMm_le6X+0|Fw|jy%aDY?&sZQLmC69M4?*PHpF}KYD
zoFgBPX-Vv$2{-3}(f*Mr%dLLexR!oXsLBtVG|M#oZ-;BS<q=?ED*W7XJrfb^0J<It
z*@%%)A9t?{*^VwK<Cemw?{&Py6TZD+*ev+*K2Tnq$@8)$IPBzBcs{+82yUZ^C3=Cs
zF)@QB#R3P7+HwKHXYFlcuoxhWUL#L~#?<rcZmY?A0vM{~Ebm4>Ea$f4sM-i@MiO;U
zU4j2?qq^lXg^!8rEpFGy+cFO28veXefxSh^2J!5L=Dw!hM`FTgD5WgvE*RX1_P5jA
z3Fv3gi1WmK0Ulg0z!k8${L(>AlLu8?FUwYWWw!XqWQrL2I9(HSmF;6xH+_;!<K>Lc
z(e&fyK0k-Nd8L~5Ia+@VDKAlJZdx>Hlk9DBden{mBPRWk^MvTeV+s4z21$r<(TyKZ
zXB9m#u@Abv(TY|xQ$Nl()GUZjI{~TRj$hraD~nJLe#`OFnzkeXWRA%ELMg#)?zsio
zz(o|{D;}9Tv0q)J74N3@Z2)KifRRweSXE>zE9UMva#=pWd``%&)LP_{&LE?auJ_do
zj;}@ZcQx<X-9qeE)K%#f&~rEz6j~fOiRmn@?+EGrT>AuNoK``zJa@}x*zGjpPXG?w
zGkc?vDYZ`UQpkH4(h4;uf<hW@yCAWr3IMxYJTlp~Oaxtw;rKm?dnJz|ENn-uDPn>1
zBE?}I8r8R8`*I4;=_cZ7J$U1$cUKm*=I?veL#BhB(!L9(V)|_xQnB@q<J@{NuS~%#
zb#f`)CL%88svNg(AN>uj>h(U|NkmTZ@$>@OJ-Yh5<7}MyjuR^hJXCXR04eF@)J@Z)
zc_!HX`-aQORUWg&hWkhPPZBk}OoDCYumE)KupIfhMlJ-0{<qkU?tJ+1j-e+C5I&mY
zLUO=-_W$9_j!40NQq&+mmB<yO8-o;^&kTc9+N<h@rP`3aO;F1~xxG^)duI-E7MRlP
zUqIZQf;Ef9cYT2!2OP1C`vZ^Jtg<8<4_uVo8o}WhWk=lQ5YDhQ5wBhL0IA$*!@UPd
z%_dcqAl;z|@eaw+E6bK#Kxj&(d*&nx$Rz1Cxs()IgcS+Z@LE>Pymr23Vu+Mq992O_
zLfvlLY_Rzo71Jgb!ZBZ8+B9Aahji8Nql8hwx1JcCMuGOnZRDW4CjWz+-O<gaT6|^#
zzs&F;LaX>k3)6!+86iPi@vH?M=%+7!rLJ&+7vEq%u^T@L3=mIB$W{kk)&6|>!n6Ae
zYJ@BEemIhOmM@uO@5E!Du)5yL`l5LHrQB3N@*90(<y-!QZ1%Rahm&kjugl3!V@~$n
zMcA(D`RG=&Wh<8V6Y5VGY~jJkl83wq)Fzo-N?s9~^n{RV0vtz&{#WD0!)-s?GHs^%
z1%LG$=I0V{6f)(x^U<BU=euiE2rQ3j-AA5ceoDAjn%s{ta2?9lbpOS}yLPwBqp6Jd
zJAA(srg(liWv$^Li0C+Y(-=?L@Zcz~zypt<CE9B(mX$q<tEsg$r34du`5l0DS{2#$
zI>;{Tf=H7bA{WHy#+KdIx>+UVlp;=MEbu4jjo`LKnml!5!I5FYz@mT6G6VXlrGORj
zO<!)qS|r<w&Gxy5x}?4|JM(_9+vE74#r76w)+Wsxjl#!Xo#WfUGK8-RUP*eI-QJRT
z24V4oIo$FOhm{Ir0zkNFJPJ98cS)Z24##W0(2aEAQkivYyLX1o6imPCOrHR1GaX1x
z?^Bxre1v1^qgteH&vD{XjPmb+P#ewPGW4t}gp>U*@hDr;$d8ECuW9d$`id8)!(tKo
z3qd4T=jmQ-pO#5-`u4@17DLwQ-4iuDz7*BH#zN#>s06Dok*@ooBV)#@1k%DG98S1A
zSseW{*E<W*f|Bk(q_9^5y(oRlhoU|e6|b?JN+;mgiyM*uP5?9hT!<!NNWhf6B(vmk
zpZ~X704Kc=$<DTc&c$ncT8xVB&`-sz2mFmUYsIhLE(_<AC0(_g@Snn8uN3X5Ufx$_
zBD_0%gUQb?T*$(9Js#;&3N)8I?x1T5{57t?B$#SYUpF?_w|{_lsND>Kx=Q`jEOIF^
z(Zu;~E~7)tnexA<w7F1IN%*5l8JcrmdC!sa;y-M;{gHf-RcHWUMR-C%iA9*R5b{K`
zdxbG2>G%aJOiakdJe*KFRd11Q?19*<c@;E5vB7p8=eQUu&=C$vW5U!r!Ue$V+JPU>
zp=T&Eiixqgw~<(vHn_p=GMmf~A1Nc)36y$Hg~LLDgeaWh6!Y_QAM>xM2$fzwReOB_
zzX{dBQT$mSjL7zayr0@EmFP7*Pgd2=G<U{Tj<aP_ROMF5Y!3QdFcWwe1h0M=RZubQ
zM*Nr~MZNn@iS436r`>IjJj+y_V>hlp!No-$x3y@{osWP3fJ;4Ec_mRUTpe?MFlov2
zoBw^bF8qj|A&avPvA(AEiIB4tTW6BES~IudO|oDr&c(FLWakGPtuIbmOy9IUV<&gL
za<n{C_QJyBL(z3G^^!0<0!Z%5SEkt6p(D3$$TYdoa5+@*JS-&7{kV1<AgBPY3w*#j
zBVZ?U3P17Y7(zm)^7EgxuW83FDEDlv*YAav<vlbA<)VwSaA;K775w`xX1UEx8&e7*
zsh-klV0sMk3%dY51RP95oUF6AmBIOIZ>b7rCg}NV+3TegS`Ho0E;Zx7xNzE#eYXqg
z2HyI9nM>g?k+|fl5nww|Dd-FQAj_3I2k}yiofW-brDYsG^(TvCJ!~A{l2i5B$LY-&
zm*037rEQmjuS}=BGrFipT*g%=iz>Pz`3ijBo?a__#t9pItn;;rl;mvI)IpWt)UX*E
zklz1>QoS#1uIFs+o{C<}RenY}DekG^Nz#_|Dui#l9CCg;X9A&tVf}_FQp0o=K)u3$
zIKkOu7Y)Iyq}RfM=q0A<jvCFaoRB_YkomW1HQ_~g^aro>@XBH@d)sPz&IoAoD6z)v
zyw9C9sfn=nmX-$K7q~t>STo;xZE4BfwVVn7w0&fa{UzHUqz%b3_d$*ah@hA!J7q@K
z8p%#+MzO<F1{<#PwAb4^kb?Q~zUp>{18Zj<`+{_JL@ra+Bmy9}WUFI|Kd~v2YREcg
z50F^HT7LRWh~6J2Ve|f%vh`Hlv|zSA?HlIJ$pb{fZG%k`MFyA(a@S6&+WSGl%erqg
z0={d#PRDU(>>nR~#?<oqIwQqfk&YmJC<(Q!4C-|ATOQZu*=s31@|N%EUeDgfU~dPd
z#GQMrN6R{K>icy$u9>~|)sKVi48Yy<MN`hD=~*knI`ak7RdFYF$3{Mp&kxJuJCC6m
zN6``H4WbukM80B_O@5EAPdJo+DEcOi8FNz;_=*&yYB3f0`SZyndlZt$-O#Q5BULyo
zSpx%jyPErZFV?NwjCNf)7UYu^-sy0`3YMlcg`pq*;beZ;Hk{_pXC8WzLbO!7U+~Tr
zA^Bbk$I+NAX;{njQSj_l7^R?(fx~Hu3QT0*XF>MM*XksCF%GABS>bv{L_p!*N|}C*
zj3~;w@!@T}Lq@7OTQd#3TC~-_fZ)>;=HqKwQqhys^VW=cCO4cxz_4<dPTZqUAdOm<
zF@RB9qPJBt^EH`%L(R>h%iT|!I;#EZ^jhS{_DrfZ+_Fo%W#t!RC0~;+t#cOZXJ`|6
zUDL38LYC$H{{6aHHww+Yh%G61O>F4Xfg8ctx&y{P973hKReZ}A25N=b_Uv;PuR*%T
zs+>hzs}d?c{J|8u%hc<5E!4pF>RpS+Z?#vtN*GIIWmHtRVj@&F$>sR<wy8RN>7qX5
z(lZ7SEtB&ncqz>ZKDdX`;&$C6gglhPa_5g>0E^_sDKifLW1<ww-nGst$JljG3V$gD
z&GNf^qN`}WD{o0T(};PdHYfOb9=(C^B{2IL9X;)4z2yf3jx+xPrVSalP%=XafJ&Q`
z%xu=5hepd=6@=xI<5ZdQ)w<VURE$Kp$0EJ`2p)8ya;2PXplI!4*dyua(xEr~sQ{0D
z!DV>1>tQ^oZMWTp*Hcc*Xk8nq+?zZJesEGj#_V{F<(%+G7;jUJ@O>Gc%nX%!&v1G$
zy8WIKTlD1GbBD$sIxJcruaaBCL-s;^US=g64~^ax=lW_u)-kB?fQ~S{o-J}6Hgf@Y
zqsXqc_RqjiAjBLHzUwDeHkHJ87@U@&9sJ|4et-5qG<7M<+>}^2q{j;7vVE=i#~VM4
zesWLJo#u#CiIy(J4Puy`!*3?mM|Yoxaus_oPo1~IVW_W?cE6N6tvsu8Q~dWTIeE?p
zb0ZTSgiDTPGDg(%d~8y&OYwCG+=UR7rQ92_S@S$zCzU1}rDx8TNg4swge!vhd>2?d
zo2kbe%Yz2mw@8moA5RzmQZC;WUWN@%ZSUdIK~9+`(%3(b2lCDzDD(#NY^Zyj_5D*0
zEFwRws~hj>T@r5Vaklh{tooIE)^@vi`|uf<AikbY_yImxoEeiyAlIgJxV>91=OBG&
zX@<N6;a_&@bRHJ77_ifYk4r3HrdM^BJ&HFBI(_tqFJYKg%@LTjHgfp|hRU)Fq@$6)
zGMP@RoZx#!uEkh`RU3AYU{O6seky*cnvpo1;W-C~?0_)I|AnuYIvD;ud!4$uBPyW0
zC-{2N`IM|f#JBQ|vTE$!GqBuXusx~kX(NHl_-nTR)%RIDvNoLHFX-TdJ$k9v#L8Bi
zS8MovCP{RT9Cz!@=N#N^@ruS5BOc17T&bR5&!Rmts6#@Fqr<mFOQzydu=o7JsQga*
z?ux!>VueEW^zp?*5-Ild<?nY5HMM;*z-{D}X6~hIthZ2B%}r6Zb-U<~!Dn}Hcy<ad
z<Y2qhzrgZkUGIdP6ML;3K1(uo`&Rp6wRW#mRbI$8rqxr(`rq4r;lm3-ERS;D^EXf0
zS+xDod@#{X2mc|X+;7suetA_X`dK$vMhyE9Kv6K@2jL(uvC**obhBe{N1I$X{y6_k
zcO0)F37&5ABwIM~w9W3Owk;ggUAaskPLW~u-488We1$N-Q#8g~c&Z3Hj|Pkx%lg*J
z${mbc>>?Su(0#>!N~+!Y5HR{y$=$!0KF+Qrx-~tjd{!2?coIsqel44{Ef7s4&h;?u
zx}g5Et;|@to@KN1xO71s!SPe!HV?y{eYfhR)fc%>JQSsl8|B!z=z7nEe}nrE>?NMV
z0bVo$HUlvmEG>?W7cp=9Sec6*s1rqZG=I!5WL5>Z2ejIOgefV2l!6`D<|+_o9xsg9
z`kJDFS>#P`(K_MUSRUn;80&lGBUX08t)QLx8}_01QUDF<K~(h@{llJI{>0_yX<tnR
z3ZAH+iOcQ@^@o$RIdzJ$m1Zm6DE{=^3-}~Drlj4ve*Rs|FIFA8n=jl${!AF9k$aGF
zCU}&8y~yrNXxUsvbOOoSen@ipzdwXm&Mo#^^+iu3jrd=DM3_uABa7=JH#Rzd@L8~K
z&DAUdManm?2wT+(W!&OBFsxwA()3iG{GH>9WN*%?ahMP5klWq9vZI5u^e^<Dd%tL&
z3B~XhP6^4H-CRiGs}8i5aE+y^4e9AezP%Wm*Ot3N=(i|2`=IeQ<M&^-vTxv{>inN-
z2s1(H1*H&Pvcsx*Yo^2PkM`zPw!aPiI<FJ}(XwgSY{ARaUfv2i@gK{bm*KYRhC9HU
zuXD9c#K&GlWVmWza7l1HXyvHfl&`MeGxTy;kvYXx957{4?g9#JX@1`kdk=fkQfUVj
zvi%?J%DC9P0pzm5)~+6PM#J4Zj*E$Rs)8xxekgaQG$Jdm8`LiQ$SQZiEpag|Ag8;@
z5@LOnfTf6Ky6shERP#>N#0N)-X+NaA{u|Q7$1BNysGv?F<qf!=6dj3(+hTU11vbs9
zCN0ZwFKmW`lnup)=1qo~P}<GZhReyOjk%MWn1HK0F1mZ+?gk@|l!{1B-<~~Ombry^
zNPr7sYyps4K4r@(S{&KUWAG8>pMePe*NSwMUV)Dg&~FGc`(w#1ZzgHZId{!f<9wnY
zQD>`+g5`tkf$KA7WSM78ITZ>_F<bO%j<J<u%e>yknSxXlxb077X4MMMUj=$?$T1OS
z%{Kzs1LR5Zvmab-EL~f7`WMm^gR#}Mzfv`FuVYgo@ln;Tax0{~tboD0;2SQY{~(q~
zf_qsu*~^D8{ncP6wgU25>uuNDGK`#Y2SOONavzt+i*Nm27R03b%4&awin|bL!I8-Z
z1YAr%F$G)kOpyZ|P9f(fN#B_;1;mU%$^t12XDEt_c2?O7*V5(;NPiLETEyr4O~7TA
z!{r9;-71R8G&ehlR4O%+Qg0EZ?eiO-4T*IrnBdtTd%T3tHd)vaoa~u|M)>e0I@~&<
z>fFOn{T5mV3Xnw&B{|E=$nLL-q(UXfm&Pr$y-mMb9N5kMBvAze&+bT=0R;7QdvS7U
zlcN2YFEdRc_@>VNm>!zl_*93)x4Ad!Sc6sAa|a&oI~n{B;2OXX(3}`r(hB|YRDqt0
z@1w{2`N<%{g=aPB=GIgq^jqiec305HTI4k0EJqO})(9d!_PWIMAkm`$8b3o3;i{bQ
zWbK)a9sBb^`8(Y1bD*nz#N}5hbW|%bIxz<{4bE`?sqrX`atGjb1|kcOStQph!uj8P
zn($_Kjps9$z%~+p;*ga_ZV@3VjNjG-yzJMkybiPe@}7D|qccXtPJVx)HmM<QsNOE8
zda8#UH+%ay#a%8LZZe5yExpkmsd^;G>K7I?_fcHkqA{91-S|gWuWr5MgTL|?mp}N$
z_B$9c@)DjBZk*tK)DHcs??5SR=`A{Xh7ngS{T}qRFLLpK1gc6AnPGlNu)TrYr5k3N
zF-t;8%e{xmSSyTjE>fRcfWWiC&O(=xlBe${pgu3_OfFrZeW2TfY}&DO^s&WL1J9NS
z?gv5-1FUAmH)UJXJNM6-F=b0UANp;0oe{qkJ%D86v)`2UhvLw$kEz%W8`tE3YUTXw
z73uBuGRHvK0snduk2BqW6pt1IojjAJ?rojf8&8**=(!49obSZ#q-L56U%{l<Tv4@&
zcwCAGywKB?*VwL9?2r}(sO@z8TNnALVrLUG4eHi0&8(PokR$3bX1ly&4{G_?^mF|?
zMN>jc=~V%BJvq1>o=&+yTv%3H=*vwH7Y6ylHj!5(2Yy~{NFgAbX%ot{5{Zj3oZ9`x
z(n#tF4-skrI-|{Cedst+jsL0)TaVB)ky$IYB|8g;hN(I8GUDVqa=f0nJ=|(Pg-YBj
zQUpadH_(yW6%CY|{8{TI!wtXAPaPh^b(k^hQL|mYuv2Ej7)0!>mWkP~$2rJRtcsi2
z&J?y@gVuE2=Pyf9H@lMC`RA@xwfSUe5E|*yejI%P2e-4%#peDkIfvadL?_*8l8G8G
z#Pn^q>fg*!<9QBP;xLC_Vx@k${aJ}gEgWhBWP0;L=>k90d88#Jj4a)P#Ij;cdC4K1
z;P?^h&n_;Gqertm9_11?ypL7lC1;8_p4|Sf!DCr@m4w$Ti#t&3M3tM9@k0AQ$~z<-
z|6miJ?Qw@7J(py^56FNQ)D&PQjfy&oP&o;GzNbwUd*$6cfa3(vh3QRiIvLJaAG1L1
zy9$aU5AERU5`^-?k|#%+AqghnYw#922YOOSo8Fk>Ib&!8evHNraDP)~=HrbWJE+vr
zHS52!4LxEKXK$iz%#;3*2z*`uchO20D1E>0F6vvmu~+l6X!(M&-}@!cSU~364Z{iz
zVA`9MJQY%ft`95ua9)|~dp8_%-Se@)^$?a)ZGotGX*Q=fpI>9oo&8c{2!fX9NaJe~
zn#x_cQX4qTH5?WTR7sP7W4jF-T)%yHU{a7`Cx$pWUoaEAW1tlPFx4M}zULOr?7}uS
zI2W~b8(UhT=uOL7Aj_6FuX_Rj-7(){4W8<QC+Rz893Nr>cEjR|tHT&#eYIZ1-w7N9
z>bBU5!H*Y&%;#1gk>oVQC9d`*?pzxFfJ*6KMBJT1>D98NfCQj>lJBtI#L1@1GA~xq
zqXjWi72k>v?OAGQPKWTK*WLaHpRyn*+CF`wuk8qCZxB!bd^yU2dIP*!0PC=YcLi}3
zJ7%z5LZ{VAqT;1?zXR&}OEwc#CEz%G#rOU4Bk(Rw_<dim<YSl9n<ac7JhoUdt*P~G
z(5wi|hYLb%eUZnAWD!(H4qWW5W^E;*!;vhw<V69olgfRzQq?o6HW9Sf53^!<wuf~g
zEiSCCj8#-30MmsF$?5%KY~QK~-==@`M(;j*5X;-K{*m_cfqqnC_M#W*&g($G7l_nZ
z$gm-uhAtl(5d3*NzM%E@8ntxcaSdX@bgBJS%<SG#!%(PU=t^NfHz-UHw{`$X1r}4{
zYyh!j@_hy~IF)}9`VA(s(3$q67HACG6uG=8h1z#gMF!xRQ8EGwu23jgk<Z@AHnb8_
z<8a-Cy?O|Jq?6J9K+e_oWuQ?bzVK-_mxFqN2DkrUc#%sd{qtY_jTbZ7q6}hp`&$>u
z5631DOL0Ia`EhUR=>cY7`lU#m!<$}72=n97J|m_3*r?mTueDG551}}hIPU(pE4v`x
zye+?!?nw%p(&9^_PDgoQKO?wm`kWAA%tVTCN+DrX-q;H}`);V_PFRwcSiL}8hFotL
zk82jHqIAiijtTnBQODbClDDvh2A*3EB+&<Fq(pScK)Gx`S^F!KHSDqCBEa<v?X#O;
zmA=#$4qL1tcYZHH9p9Y%SkawV4LU=X&Bt+e=|X{~a%DIvTN?G}==|5z2KP_aYK}`I
zpa19&>L{rYb?wIIMc`Z4Lx_13Q6gk9nzADRrou+6l*xn=p}Gr*Spt`(g;7TL94Zua
zJ>{4&lAbm<g_`IdR5#I|ekm?{=dac+{iT5h?mH5s2piAIi|RbJ+%NXD5(YR1rkq<y
zz#(s;|0&M6DeoxlPqq!_T}&xR6m}*Y;<w)p{bxYrlnsHrIZo+wIbZ7b^Wv5o^QD~1
zaFCa#W=o5iu$`;;%_+qgO*~sHM2=&QOOES_gBV74t!<$iFV{ui`$+EE^iFOOC=>uB
zB!BGM-D2-IQhMUP-~UzULdHKjG9Lj<HFtI0R^N`z$;(8Ir^PpD+pBpVxMb=pnxsab
zef-#f)ICRjOnGr1W#nit{+N6v@Tdm)N5P&#40Vq55S}J4Y0Wur+jhwOo;L&QmSZZm
z+gz=m!VTH5Zy05uH3tAbWmaMsy4hCS1x5cH76E|b>b_qYc1ld<{q;&|)!TR*n~94L
z!-4enR33I`<+CST(ol$1cjz>L*j)F#;1pro9aWMt@P6@tQC)k?@EbHWdprtjCio)5
z*R`!uc&+nw=t$t%eXgpb#Va+QQsJ6ur*N&pb2PyUUTOerW+6hrCI<K+u$Olmbx)qv
zf=m&x;{X=x2#I@Qo3=4Q?>CDd<G}Ma0wl%tx`U4?gsNNoU=3rD7~lUOh?XL8`K`R3
z_i5P=n600`qROoNvL3u^Cf)S5&}8j5B<6q+!Tyn*l*QRTBW8jql0_U9Lg$MKh)02x
zi|GVZ<CnWN^Gd<#PbOpRg548a)Pgo8=1wi%-K$ntE)Dg2T&5isFhF;q=iidTWa`7L
zRecg!5zj^e00I|kjs(xtOc=}0QMM)xm=9yJ__1n5F|2;Yr}Q%{!e-kTr+0;yM2zOB
z@U)W5T8t!jrFhYHPS(1nn7!!!{Vd_fjAhW!7eJI24(swo8efLuDfWGLMI#Eg9O!y#
zf<L&Ey+ja2mq$DeC{mqRYAJ=uV-FLs8{Rp#_9T;|cnsU2f9Cgn5?|*xdJTG!t*44W
z(TEM>P2Il!X6cQ=;~7o4*)A)&O^W<Up*Hg$LlU3RHcBrYux4G(=d%Y+lk_(k&_8=l
zbwFs#W&;y+-4+7vLs_R8HBd4T?hB1}Wnr)Jl$i28knlgPYDoD`kM@I=CoO(g$Dkmn
zL+BtPsnm1$B>AuRoS;k)0~N+w>7K+_7GXJdf9Uu<LFZX|zRN(L*&5-%+81pZzxLL}
zX?1hteu*f`M96_XGAb$y!tr3d$*xh&{K;8QE_fxq9oeM#)0dq-8I^U#b5S3};F4og
ze)IkeQ6dcN(0IuxkcGw{IfzN!AdT@EE@f<YrAp1CPtRhM+`JduVpnebuDoqKh<dTB
z=Md$)?8~LOX%silmM;96OH4|=Di?Wr_#HEOJTRrODgWx9x9_`p9vQ=_V%_OW1`{(_
zS#B}lMssgOUsj0<xrM-h%-wSnzzYeZj5E9MAJPl#!pr3UI6fGFm+VdtYc2QXjP7VV
z?8yZ#wy}w!;2(;6K5xywUXbH3X8%I4s}1LJ-aB4E1=eQ@ei+WEola#hMZU-K#5!F0
zu{2a@Zl<UM!iM^ie7@xfDqMqesSDM8-tGH~)DWG&KAq1!(#XXJr`u{WU94Q2rQK|3
zE~RweweRX!NfSj?1u;eV+WszqgCxG{*XQ~sQ=Qo~ya85}PKNKWE%wt0W=sLWzaJm-
zass~@&gkkwA*8if(?pMA6|Pxq)iHAcs&UXLQ1M+(EQ))S8M112;xJ(W*8+t}0ITB(
z=kuc~{-lDd|E3IRXLGiylub$X>RYYHvWh+NE0XP#s;+n5l^fm(+4NG;ud7MZD=TMR
z``V@t_Df(viWXz|qvU!Q(VZ4n%wE_0>5&`8^zM|5Fse`;V{z%!{8zUC_64$D*6GDv
zU$J1*&mz8$fCuS+eI;JWUO8+-LJ&=!@EpF_mh%cdf#Rp{H9^1Nu_-Wxram_rcx=3G
zqXI(OrtHy?K{?$KnbI=@LsJH{H_-l1p!zVw0s?4We%6TA7LL^=Ee=I&%>G$;oRO^L
zw+FEKjVzF1HGUc`My$6Pa+~t#XK>T2P4g~%@zos%-;o9QRa|cAGk#sL-tkLJs&|<2
z)&P9q8)Ssz`puH7`EJ6u$Bn>CX;JyM{W|m!F;{?1P|RInhGe1qwxY9^t(pFc=-Ko$
z3$orDi=V6<UIa+lB+I!78NN3*H%&KcuAW(0_-nHOHd=tu{|FPtRRe0$ti)YHTq&xm
zW#(EuXJf-7j#BPI+zo_mDRQrBIwC63c;?DJJmBwt&LFqGy5Ea~<`)udbVamJvS_lt
z*<?6kShWrn+@&!)4W<V;y8hOv^CO@@F}`iCaJ<{{TRN1g_llw_BB28B>aaP({_Yb6
z+bf%-R(UZsZbTt7#``O#fgujop6K~AjrSX2O&G)N_j}kCXI0R=z@O22#(bJ<Kz6cd
znzeb&<4pJ;K*z!xl@eU9IwuGuyP(r{KMeSY@ZYZ+r@fzQGo5OSp|Fydu7Z%`RQ6o<
zDN0-v3U?@0!MN8A838Y%(sqX29qFmL{?BxxG@*9HMLIeE*~2p*LK<hfAjyR&Hv0Q&
z0_6frAZ)*D-Rhk)qmDyqSuo#*udKcnp+9g8Hw@h?HY7A*OzyOt>%QzlT~j&mTUQoc
zAmzok)Es^xxuoB~KXc#g=AuN1EkqMM8_AV#!ywGI^jnFTu__{gnF$`f5mpm1k#ejg
zDzf77>9$v=RJC2n)2)ug?0VI+)^}4cU&@r@DPRaTbXr&TB0v$??l?fvcw=Ay-Q^rL
zLdT@MHp*EQ;_IehIK(M6$t?lIyY`EjHIp-Mp94LF;qNfa7um;VcyUdP05fLmL%YUN
zO1l(SUP@)61NPP%Jlq7Z*-oGa`N;-2X<!?tt1-tHt1o88e-N3k4ol0(42wI6RQZ@N
zMZ+dP*7u}<{@iPYRmyYG$4p83!)_Mu3-rA)TZWBg_JCt8^l=do!9}(%p6sA}IeoXJ
z)g^qV>VMI_CZl@#F}Hkif6+8!liuS@{hu#5Q*V)&<fg1IcQU6s641Y6J@1}k{Cvuo
zkQ1fPIk#U^&Q+?|p$Ly?z}vLpvu*8pBk;d;&YQ+}a%7z0WDDhHwUufvuqQahlJ5gr
zb|eAeV4k%vTtiozp_oZm>paL4_`-l)&Lf)2hsF~pIwKd3qBqNpQ$b+$Nmgw{hThG>
z0*ix0hb(C+sZ0;-$6gM1Nf9yBhm=co7e;b#%cKj{xbfJeh2_#Gd{Z*+X}Gsyy)QIw
zlZ=;fHywFgQs|nAP4{)p-|ILdK4w`fL~DS@5SLQg+5COr%f9bw?NH{XLw7B<%fB7T
z1lHB6G_6o3kiQbdX;IXd!m%)VLAj?4cdL|e*C@r@fke@&Hj)m{XxzreJ|zh7^g`c4
zCd>zrx@#P2ebp5{zu9XJgknY_E?2%<UPi}Dd2lx!vwEe9X6`No0Dk|vpTcW0m1T*8
z%Pwq(r*)}aYRiK*NgAW_n7LRJB6pIaml-_q)9Utk<F=f04NSSLt6a}~SK|EX<W7yE
z`|%u>cUed;ix!pEdzr@Zufg}f^u7f_Aug`F`ZD`ndTq%*S$(n!K+)yiNa70vt>Idl
zW9tP<eClZ{w)Q~;<eUOG!@X&H`vr8}AsFmpfL*bN1}1k(YVlvSM1;RK(shZ}6b|XE
z!^0Uy9_TRk3UuRdXcq2KLYb@n@5C$cVVM3b=%{_vaW})i_8_^~22S$ZvyTiK&>NFs
zGUZ#WCy+4tK}Ag}ycup*Mos+y)e!uM<=tJUN77%xJa1R{<2Ba2D!+B1GgAC~yID~x
zY@~jX$1AmU>Y=6xQ<EmkC!qfwwl#a{kaggflPSlHUKQU-1twpecpIVCzec^sTJ38w
zsT+N|u7f8{M>WqI1$3`z&`xr``Hc0UIYNwcsYn%$lq2@L(y^yCpfcETj!Muo{fy`W
z<ff3zZ05QQPzweH{{9?FEhY3m&y>4%?F-H2SGem^-pMrr0XEyznO{GLerz3z5Kp{z
zC79<|6m<tj`OymPt6X=#3)!JW%ju&N#RK?a3GJf7pT2$Sbhh17F5S*T-sK;8c%|;2
z4u(X^4VIK-b5MtbQE&^X{VQAY57X}kO1)^BQk61e(FMogu@=3^7+8ip@HJhNutKnj
zUzv{Sj{3leBiQ{FN<vbw>G$pOy_Tz)IUS_^U04(5bWv~hh)aTBi%K3}asLF<(`4{*
zx#}AJS2ZKH>nl31N<{GE>cVE5V8oc1x(iP`H_k@zH3MWr&bC0orz*t^)L?6;m0w4-
zT*Ep>bZ?=_PDpSqB>ZKtqk^2e1njeK2Nk_`7VYm#BH|fw>)S<O1=#c@r4WU>vuJB%
zX${A^NMuX_v56Kzd6&J|(d9TfP;dwt)I<Pwa6G<1%m?_B$y%qw=>-um#ox&N449Si
zW;O(?5&@Z<mSSdYSt8<eviqHt5mTau+3LM&#K;tzdiFr}uKi-NIN5W4AV>upSC8tw
z!YCh8$4!UL^})za>&CX3enkvNJr*3-DTh22eod1M+(CH&JG9<N%{tRUa<jjm)f3>_
z7iFXylC&3Hdhx~S^QRj2p2dMKa%xZ|c>BKX`G%fKgTeMXwUrmOs^19B9B~iX|IAlx
z*aTTb!-&9Ayqu}>TPqX>Mq>=Zb_-~ee!~Hcc&r%vxOB8L^^yu`{T`qckJQ-|6iqjB
z`WT+#K=`cWoh8!|*<LNXa_;#^gWlu1Y#31bI-rcld!k&9YpWQJelBQb?Is645Uc@E
zo+)$H#L@s~Z;oss3r3D=xS1+E^XwH@JHjLJvz`F!F4M9h*>c`hhW?NtI3(*up>Gvk
zsn+vv^cAQB5wmX8a&zLR$b)`ADS<a7@L->E#GmOz!*2Vv?Hc3MzCV#xU=UvU6lkqr
z_}+x_06a<Z8MTq@-v6-?WfMUqrGtT(-vI;mr`W`hoH=H-kPbQkR>f-1)K2=-R6=@E
z*mU)cS5$<%tNTn@FhV?F!Gt+BwH58!=lI?g!V$L<<C9VFG!h8zvT1I4Jx$f|b9+U|
zA!AF!PY#&^($qAh$fZdc^6n5UA8ccm&vX8xIl89uw%eK=bxNkwVpc|CH3wf6l$v}Z
zuUY3vYdUHdKJxz1z-%Y^1;(^vlKi4VF?Wfy)3>KvMp5%gSc5y8<hR#5hCmb!(0Bd+
zR=t662{5)mT|Mlcr_?IzS<=GF*lG#6|BJ3x8o}WQv*VxM+x){_VpHvUm|syt1gCX%
z&MH$m>!I_j?}pfY3OIg-Ms8e$Mw8UrWU5BcgW>C_%bR&d_T~bc!8LQ~qrRNwth0Aw
z;UK#+a#$C&i4j@?S&m?%*|RO>I_(3Z^B00<k*hpp-S-RBijZSZ0XQ76z&Z|(@gDSF
z5&(@K1xZew_<KTHMKbw>_W{E?VOmzHzIHK|Oaup!=}A7zE+7oc-u8t&8$_jWyZTU+
z@J#1zEk4=q7ZogiNtwp#xwx?Ta^SheyjtY4n@FW;$lm5whwb-}N=F^slnNTzzZ0V@
zj=-{!nIM+ME!REwlJ8VS&^CDxC+E`3`V;OaG)W`uCW$Q>8YUk8iJ(-mD+KGE0e{3q
z3toym$FXmGSIz$u$D+5L&RLk*>J7Uf^UlI(y<dnea2us`nM6)Z99b9Ny6Dy^m)3xh
zK`mcx*;qc8FSdhviOOz%)teOwEAVx+ZfA=^hLYNHyO`Glv$+5LSxM_ea2S@oFJy9m
z7iGe^u<PrE4tZ2MeKj277!ETUT<sM&(mmR}A%=RJDYfcd_h{qG#Wpxhu0b<vt(ULn
z6pH>>;pYTzXT<<DpvZPI<%U@oSSJGwI~(E16}0L<V?>-(z64BO%rcv)@5CY!(hR=D
z8DTdKhm)W2Q){-^7K8yEc-|sqT^?Iy;Kw1ebK;#n$1wm5wV%xDqT<%-fwiPS57I_l
zcMqj%1s2~4by$kD-q!+_O*G!>rw`JLCr;M&QsVrdw+JQgXwpvBcL|LQBPT@PkDQpJ
zkp)RM@nSNTWU=5tK%Zw@Ig+K=Ul3FC?o%}VPB(9s!6ml{8p@g<rehn0^?U$*14|}!
z<eQ%NwW+%9&Bk0kXLw01ecQMG&-<UKV#M(zSTCBaMa?(yi--G5E~kgmr1JCBzsAZ}
zqCRiKlJ4N#n#y&7mHGdWLF>>HGM^;lCtZVyg_o5*pdD*#V5Qt-(-tV%nc53^;t2al
zUXlewsE11yAgXth!O{asfE4<&nQ9s_TC;T>s0wR8E`jk!fhmF+vsR<}C6g&_x|~AD
zZ#S`&gFzZHoN)JGK_Gi1$xw27JmiFXw~y)Yt%;tZI>K0LNViRo^nAp-E{fU{2?C#E
zu?PKevS5y}=@Z_$Xl_R6HoBW2Q#Q44VqVhM3gU#?$Z^l<fu1`bGqn*uqJAx9%WLZE
z7@PL_!Jng}4{`e0^NC=A9Th&ICHQNxn*};h!3Z_E%mNK{odJ|jnbGqhPD_z&$3RG*
z3$Mab@oUtD>s5IZAu&o-K#*ILQ{Q95ov5+y)7SVF%tJSA$UYd`cp*K7F`|V8aa)Zv
zdoHi;z)fvUOhX*FbsNss?My}<ISf=nQosmf`GVO*pd77d`0W0ZPWJc6<Y;_21&|*<
zsr~<t&V?VEDVkM)Px{H!{xK$;Qxd1t<~y*C|Gj>l5%Zl1x;yEmETUUWB&V1XXRa2R
zx{xo8F&#O)@_)E`3x_7#FMe1>L6nd#5s^|5kdg)!B?Y9V27)wf^hR5Nw1gln-5@z)
z10+Sddoa2;TKc{GzVG{cp6B-;Z1;U%*E#1?C+-YJOHvZc2;sKnms%U+DtPc^WDB;S
z?UuysxQ@RCiGVhWeiqsK^adCc*GJq}adXR$M}GWWUW~Z6lmy#+a)(kaYx$1+e6jU!
z7x;?IglT?^7~1gXb(3$YSYOL1y`A==#5(PIV%Zb#J&zhn^ktc%-&41}dht-*9q1T-
z3!{Omo5s&MTT)KA^@L5_<8;pPKUppb)Hxlne5x;m`x0gT?a^2UXRW1LaDwR6z-@+7
z|4_YSC~d*j75f}zj(lCL9OcCBcONy*S{1*me%sR@2&P%2v6*zq^j=F{vTlliH<mRK
z4-9`UGEIl>-)@YeiFh~DaS12Ef%}cIj9RW-eq+At4j$2k6#B`95Zxw!cQ3cLnd`fe
zlL{<{;U{{`qaZz)0q(=Xwf`_TF<4^NYt2>yQF6|ZpwPqF=^5ZD1VHCa{5|UzE)9Ai
zyQun~E)hfi&Qk;4--C8{zq(Z9>I)swpzAgR;>fVZJ$Obk9)DmRzjbY30wgZ5BMY*4
z_Ix#lPHV8ko_ou81OeR17S~hGpm9d3|H(+U_h^J{fhH~UV`#%3W$B!wLYwbeE(jV>
z1I8%<vyL$Nhwe5UoI$D<Kk)-C#d}JI{>l%*ju4X{J>GV%e|IYnHKl}Z`!)oK21bpl
zO7Vm6gHZ5!+SdSaLpv`2YL@D$oHAsxldmG&0kiQL%u$R;wl>KRJukznhG;}~!;vCC
zhTR<aO9sa4c-nEAlQ)3@T4?VfN5an8`8&X1=<wc)W#p>&DlAcyE}L!;lPMQg`;a9G
zLlE1=J+^AwF>@|*g}>adUHKO9YKr0ISWbHEpz(5FgT60%G&GQcD=F<;@-Gu6V}}qW
z$Pe^?W(qoiIJ|t6TF>yVz1uXnUjbxy>}Bg>iU7pEt><B#FiOH;sBnMPTEiu7>2Y$i
ziWr#JZSffiFH?8J8A0Z{ldj&(aG+eZzvk3{(Vvr5zcx%Cf}gob@{#!1`f!mYf&#>X
ztkmc@xP7(VW<EQ66r`}|{gG%V*zxxnEb2gLzB^-cQ3qfLBbuOJf6bjXGAdiA_&c6T
ztf_oew~LfogkQpv_E9@OHhZN#n@fnLZCAD}(YRSMrHH;n#4bt{hzuB`;8unS9UI11
z?zGwwf6Jfzlyw7xwcKL$pS3O+6O=TIpzlxES`h_Oo|eBN8fMmck+U;7XPHC_&;@VM
zZhz5ZI$CLpI?RAC-g!U`Z*p3bYzu-eQ*HUeStc&@@_-g>PEh{gMFBI;254o81o`hm
z6ZNMSjQ(_cVMN$*!5ygbqlrlrO*51J4iMXC297g8T&D(R%=5O17&ak-H|Wpw%$w`1
z$vKmF2>$@6>))Te*KJz_OPExPp3E??mOvttCUFCRF%Ace@rp>a0XkyEVCMUqrtkZ!
zp3?*`1_oc_9*=yVR3Sk2CtEWY!P`ms8PW<`jk_TqSE_c1R#$;y53HUC=Ryp*KD_TS
z00fbT57&*IFRZ3S&b8j9z6SS5f3}E><n5pDRjX;QdWUgH1;QVSb(vKIqSnpMINspC
z-%zj>bJSjO>gx$r6Ae)7lMSBONq9Px@X-5a1;a?gU#WmwA4Vtg5hNdBaywLM3tbRh
z#UfJq$0s{)Xc~<CNnv>(;C?GkmRCybm_0?+K_M7(F55Ly5@MMyWBA!hl&?4t!sDR?
z75%1YIPIEp$VQLB(Q-|2_xYZ@&H2==sAgRIS<O_fY8V*ZqC?!Lmftm8e5AY5VqiIl
z_bo3SZ)n<GN?VxLR1rFlC<}0UK8htt40r$B-+!cxtHj^yIhb=^dhzgW98YqCw*&$V
z)Bn2F13@s$u2S#NhoWF?DZLW7yxEtl>T3u=r^0}FPaK8`Wcs#GCHHz>jgbW6v+1Uv
zcIv9Z7K@7VQg)TCYJ7Va*TV=YdC!Px;4SHAy8mT(Bl=DAWL}L*(bl^|Ugpsd=;$L9
zZ^^~;UT%jxbD<B>%vKpry}t!tUV8mrG|9O>qRxhANu3$QOJz|;1O^bO9K^p6+`Gl)
zS_rK0tNrM8>az21<`PRQTQzOE*PkQbuB3Fds@8(VzhFd8#=3PUI#5LO*r#1NtlZRz
zFRLole^n@D3_Lw>E$rvlj_+ND%uGz)iK@$QW0;R`qA%`QIAl@!&F9W+OGLRwl^`Q)
z3f@wSIoP+kZRaK7DBm0HSY4>PVl=ZTOKH+IEAiMqHlPR>T>5rox;qcMJl?<gaDu8$
zbo@c7P4mfSDT-$Yb;Jqs-UgByuML6Q{Qj1`kK5NQ%9NGD#BVG&`D*StN%_Vtc&|P(
z8`U$p%>G|fPr<D7Pz05WlfrTc-(zs{ow9*@7qwdmY~y1WBVzl|F?Ghozmings8A|g
znhH_==o4HHDvFdtG)NdDfuNqi86=wjuCeI8()|h2u<IFT+J~qlsQ-B|I(lQV^5pH*
z6{8`e!TAB;?M!|C11IEIP_7WM0=Mx(Gw#g;k{@VXxFmaYh33NJ{AR6RUSY?<N#iT(
zCayinX%l~yMg4b6A7Nll@qw#q`?jOBQP0a_7|^HjzReyPuXw3t(BNwF1h)`ypjL|%
zZxBMo&qU1xh^n*W3^EYXF0rT`)H+B|3hNm~PYs6(p;*gjBW3{79!T#^!mTwzhB!8E
z8LMq#0=DNklnMRc8|3v>Y1`5-tLPO4!xrH?jPjk8dVT=#@U3w!Rp!8+IyuQ;$+D&#
zrH;d$=1A{u1!sG&<O-)c2FOSRtsDZpNVmY>UI$#@$C?2^s<n1868E8O%_EN7YMo?v
zY1tbiGGFVS&}>}8XuwHfJo*Lx-H0Psa|gBxRiG8M4+iM_zfzswp+k13Kh<mU7HZ!J
zS(u_^I0Ud404&=Y0q2Ot#<SXc5#T}x<xCOf=7<YHY03LVyfGuUzc}?ZB_ku8ejUp4
z!0NCZyxo7QYAd0BY^3;+6rV8w0WZ<iKSFh?3zJm4N#EI2QDE_02CvHbTEhp5dU~%r
zoN@?k@G)G)vckfW)rH|vl4BPK3dARI8~C^LB^PNbsa2>LT^O9QN6DF^hBkZb-N|sr
zq`1ANKlseF1d4L7Bzo}U`J&w)U>+6%J7?3e-AHzv1S#(E2Zi;XtT@=(7VwK$vxIZu
zxjjI+mALokaN?qJ*8j(Ykbu!@wPwjXf?*2Xh~&>5l#jz+^ihQY;w<gZ?{&`uz3U+E
zW;xah7%-1A`Io(3+(m*2F1e|nnRYU(KTEeFFvm=SvC4?Tj62D--~A&ykZ;9K3<BVT
z1aru!<+JRCGkY;u@z*U0QhtfK!7__A4?PL}<9UCte2^6~=yT^#sDyI#8p!?!x?#fq
zb5Fg)1zX=RS!S>N1c4lSfRi%ew57nXyx~)6vo`H$+V@QjH@9U`dnrKlW`N!@lhg#p
z@rkb27j_S()CxPU?a!Ep^pJ`PKz5ugf~{R@?+demeX4fr@^BqMHD8Jg5$~=^97E6V
z7Clu58J+g>3npb5MK>KRU6ibPL=ktn`a*o;Rs2Bg469))`ez^wNox0XZtXcik&FJx
z!19Vn=Z-BdooHVmoB~T*Z?~#2^BrUgtT)5e$8Y@PpQg*U;pN(L=sApCa@E`Q`g?UD
zB?3nUL@h(UwOwHYB^BgHftOzx53kS>dn~zjonccWT3RC5QK9?5P33>>^_Oe1ty18v
zypZSBIBl8P5_q9}zTHD8rC*6=eWr#;cOvhaJcB-EY6MwtMSRBs$4*z^AWH|i566#s
zX#*20D0Ow7u(afhJqd~1ecK#FDR9+cra#YiC<V92q_72)k8hQ0(3~ipwBc`KWKNj&
za-M$o$IpqDHGcPWQR|Ui`adt@5`KC%Yqa{A(}~tR6%c#bMpBDz2PfE`Br%$sTKm@;
zFW<s+uY((!frLtqjwRnoMJPSUC4W7A$*#b`Pi6ON4>rZCudE@mTs=Up1)y~G_ddv~
z<G@@B<t?(?a$9eK)2!5h4;=&pHpsk+R*`lUB4|E2D;rn~m{apqzrXtJ%v5?@7nuCj
z+){w<YeKf?*qqGsES3?oSxbN3eV?yBs$u1p39Rr{kfDk3ezXVBK5iHS&q54JU+90n
z^AWtI`p(vX1}a><oJVltv~d1QlwR?zJJ6+AZZSAU+S#AC>T?H$NX_R8w<5{L#6)1*
zi59WH9YPN%PJN-03jJ5zpFx}+oRH<Y*1{y`f}w->49^vD)|V2s%Ta2sm!8Rjk>yp>
z$H(V@B&Q*{h~uH-iTN<7*PEffeSEkJQuG>L?rafur~o}|rU2Dy)>+p|I}o9-#OyRl
z>mZ0P{4fKiGet_6q)x!p_Q<aO>+wrJiN5*vIcNRt7Tq17(gjdI$k$lhPX#wqvk>8i
zgH^ySNe2W{1-Es%8H8*Wuj0(nldsE7JQ;bVn7kamjcvy+K_cqgF%gg7U3ma+NGfkA
zl|MRN^Gp5XkKNo~`+?;Ep>a3Bi1dtsD9*QF{SNts$YDQI*kH(-DdN5QCnY!>ej!rP
zD~=ff`96C0J<#ECmj&JExZLMgpR0q!km~XPIsqBG=eYM-v}guDajNpDSj%=@gM_qP
zkItyk8=$+08og7ASbA7eSfWCc1n}K-rB{WsBQp;2hgwH=5%k898q4xmP?KhehA$|)
z3gO9nO9H1%+mg>acXE<f-Y!|I0C7yRb%{c%f)urk|0V<^lpcnNCOCd_6fci}l2~Ks
z2x!iO%@gUFgKmM1Kci6J*WJ5Iz=qYbJF#oD1E!!*e_Z-})fS{ixzUn6+eW&-@BrVo
zj0Xka-)aZ12#}%z8=wKc=O0;s8&_$S9dRmF?2#UEvK)g66JpSb4C%(*>p_1hSVFXl
zK>`uyKIlymj3uF3cZ)XH8j}5EEyLR1`BEH*$tnV(RKHs`R&Qv*cNni(kf^rf`C}O^
zuy+-0xHsiYb6)k%rRQ^%fM(!zU@{;IbdMXX`%^oka68cqi7)kD6*K&Ooo`Bya4x)}
zgQFa7^JacyXXk(sbAj2l-{bIPl65=vJLqXH2&&j@zL>4MN9%c|cC8jye`WRZNpVFC
zvCi}9%8X+4cg?6iyW`9&N_R=A6|eaEH6F&?Dt*WM_E~jrO;3`NAo2Disop<EyLC8Q
zT$F?Rc#_y`@~RaHOo9V80TMmh5UO<;yqd%_`TokAFK#&1E5FWtu6-b0d2nmX-Y%zq
z`q$y=^ycSns6kfzigCVYzkB1b-z$yyoLgT-eupq+74`D-wu~z#37Z<1gGlnxs2^(8
zFOeZq6*imFS&ZYXVGE;e(XEUgXU&$v(B6mozTe*wJkIBNNR$%S<z%RBkD2wL+KF*N
z*2S-#;YpQ3N0|lg*nQn)@YwC-S;0;PGoY!%%N_`T1&>d6{)L-{bN;YxznM~PnS66I
z0#RWR`Yk7RVOZ~WF5T1}-<aIq4QA$4X2xC84_MU*Y!<)HjP4>Ox(-?O%-8VfXgjZD
zV1x12saBkpUVTpey&T<F9_aesyffPX(L8v6vn)$hI=|7-ecs_;SDCHkaI&_IH#Q6&
zrw}0eVWi}e%ecIw(7o54d6e>+P1iXs34gS4$iTsqef`H+N&nGW!JVot4W468SC7;}
zJeQe1=xzhC-PI(pgqtE65ob9U&@|20nK9H4J{^UAKU)0yDJ$${sdiO>Q-G)(DePSf
zf`CxvI&#hdS0CA~sA#C8#K7h%pRJg4X>=|>8nWvs!+j;`iLGmN2t>2k!*l%L<VDhs
z492tUHHY+wfx|(>tdrMxK&M#YsUj&+q3&Sn^0Z)w%2BSh(5Uj^%_z|xUl74=t`{z!
zrdhdyjI|Yh-uq&kH}5Bn<UZ=bRjL1WwP{y%w?S^6lPK6B0oR3yw_9Z@7!>TTeX^2Z
zFiMT5#|X^e+p16xgi#$<jd;%fn*EjGs?kx!cX~f?B|FdLPd#`rF-(}8Y&~(2MRB)_
zNkhYM->oc+Bs%4C!oZnxKwJyLYcrF$L@VSVLRcq5^n60o?X|H_7Ea!p#wz=n9n?AD
zXYetUD;`5yEY3NF-t&zzVJcA8o{Oc^^RAW=Qj+COT(V}t(5T#NJaLisSPk^nKye;Q
z-)z&QIe6O3Y0|?N&52@fmaMZUY)-t_e8L8{!GbTp#0mPxu^jb^mCybbcoPkeJF>6L
zSF9Iv2)`j^vS%gW?LS4QhywHI)O%6WCnxjgk#eeK1p6P%yLF_(_U1al2>v~C87=u-
zS$Oa_Wh39G7%C^MK{w7JQs)4NVLFwU+M&zO;t0)k`C}q%-HVo!Lx$m}GtL4Z!H)Ne
z8OoJvEFb3S)w6rl9MmYCUbRKoK;yXe_SA)X*82Igp7Yja;r93qpJ}-Jw!Tlcm$G1h
zd;z`2Kgmd@3gx$4u%?|}dn}Hq*(3Xf8M81{g;H&Un&T^tadX_?&p(-oVV6|B=h-_^
zUXBFmv$GV|3LoKPR}+V89r#!r`jxNUpCC-epeG>}?U;X<L#iQY1TUjiQdiwqR|}-K
ze2Y|a5C`gN#z%giF}%7Vb%oL^97QgsLg-1b+dM*Ra<k7a`HY;@cm-YKM#I7VM#+5m
zvx0(<R`n{D@n(FUv5I5&Qx}(?)w~r;@>WgHrZjvPucStvmz-%w$~zZUPB6spD0J7~
zSD`IHS};iI$9i~PyJ@uN=-#nlXlXU0Zx#Ep<YkGn_L!I?8zD}T%J(Y*lR8wlDvVl<
z0e^L?Cv-bIj|QeJg>$F2b)WsvMP<Eyoxy<utQPwv&)GX|_fY%BuFf-q^rQYEAw&Ak
zDV*vC)Q|_WU7`q?bMGjaAFVvxU4J1JMo%i3#YmhS+GKa&NMf?wH^7lZ9(pORW!hR&
zxQIt<{zhX%<*yJO&Hnve>#<ZXtNn+D-a(SyzWL;Ja5)#u!nCr@rL#U@9$n42(xZL#
zL^Qx7<3Rl-j}-$ZcbZO!$SnL-4CzB)Dy#7#Io^zcC&|ydJhF`s(eI-@Baq807)YY*
z0Hnjet-X%V5Zy{BCWkL;&&YH13Im7cG{0to1OAHN+S|viNo8~M(R7Dnv*bcIVe_Pd
zAnLP;q1y70?!pKwx80q}RcVQ2Lv^Zp?G4)o@s5)q%%;=YYBUSuYV8TRXlm2rnqo?)
zC5X$jRS8j2ynCHB3xxUXOPijUt5I(34#O&rmy5t|3_#mc3$$0b-Xh@Q*l%EAR{z2F
zid+iey0-8TwaxR<6DYQiPoMZAzHm#F5fjhR8OVvkJ;cyVZb+(hhVXz>@-oNPeO#jM
z?Zk=|$g_yUPHXRMQ8wG%R2@j@vbGC<DZ%z9o^DC6Rr&TbulDENm=DpSYYwagPCq5v
z@QnC3^1G*3CyvhM#-+Y4jJ0Y7(vKh2y|nJ8f@C=V^yg#~rgf6JbH#`vXg*(LOteTm
zA2yOEzVg~dhm~!q;FH|o*`KzQ`|BLdGK?BNog2N35H;?{eh)nwAf+D0JI;v<$szjI
zp>f_UDyfSiXhnn#LR@`Ks8_+^Cyn!|X9+lNl4Ly!|FmkCehKEfvz|O}M8m7<Q3m;u
zXA{oHPtdc9cKg+^hYtX)m)(x%ydhY(=XXAtq@`6~QYDyEe0mt(kUN=mqk43>Aq8``
zMZ#~BRv>4cOd!p7dv>^v2u313W@z}nKzLMlBTw4N>ko1F^+De{6JeAO*;$|rith|Z
z*SnSXKz716pjUAcV#K<hOXloe8nlBlO5MDq0Aj?On^oAiZWJ4U{nj&+Ju$ZI?fl6+
z+MV2dsaZFx*mWw<JeYNrEf(5MB@xSVT=FI|cI}?LJ8X~Dw|dLZY9{M$bD|oETR&VT
zDS0DG4{`r#O0HUV6A?(t)J^fw`vSgA62A5LI@odX8ykOF!7+;T<@mjsX}7p?68@lV
zgJ)F8fIAC$E!Rlz)l&jb;n<eH4qOb%=6jir>dDEgERWF-{4eIVesNEVyXKJ0eBtEN
zB<`D?**;G23rf}(eA98#69Bua+{!FN+*i@$zdW5TUXuDH2K73Pvb7_AA*_51FYkas
zq?_#qk+}*yko8k%eqE(i8iH)ujB3OkT*;@?{+A<u<EphMU80y7V%&7<@y5uGux7nx
zk{;I+S2Ee#AaqdU;x0W#m;qzMEYmi9p?-lzSJKpo(1^P&S}%ub<-k|nphZy6cZ?9t
zf+L~?pbXlZ<}2zE84Hnp8Yr{eg|^f*uc34x7uAbi&byA8!p~vqf~fH>hA^n{wd1H4
zH{RsQk60iW^;NYkv-cm3!q_jlGgpi4=Cj>`6FQ|`I+;O_2GfuCbBe3;Vg+_am-zgK
zq>#@F^b?jd4jf`o#BL!--?HCf^R=Bz(D_cvN)jKI`P2J0s1Pl*uTk#!(%GsEYMg1_
zUl+9s7HcsVA(*ib46oMdS&g;ueUqq#QFFIkyOD(L)+3&*E2(oFHFkZ6UEYVT8El8c
zro-r@ZLX^(EOT)epMv)73<>f}qViDAWTcXjEy?!Qr%ut23p1ZejS{dm5?3?3Of8Y9
zosQ`0Ox-`vIC~kSY~Xu@;t8ED_8Whe_=BsqH0L+Ic-ccpdFNOr7B#f%Y>Ch-ba5JC
zL3Xv@b`j`AV~IFOwj!o*You-cI`89Spq9WwA1?E^SNLx;_oP;l9`lMCcXj@;fi80H
zxA^UO2WgidRXf^TLK2dKt4s`uOuxOGPtcyCLSS`bMamYc;&5@q6q%?Mm{G}$MjlVE
zco>%iKE^Wl)eu&sq~SzRE5_4&yy?BtWAiP{h&p?p6aHD2Qn2HkO0}dU1L<0)sEOF+
z?nd)XGu@tVjXKoCC7Y~q?@-@Mk@r+&i`OrEu1Ezzg_g%E?l}8Y5ln60q5Gu3^-<dF
zNe&TT=y<SDxu1JJUcx0^A#I#asJG~c%_CIBPd*71G!N}X+2UNHos>LZjqbAg{pn9v
zQj9TgK<r}Jc0$@Kmm3`XJ{dwELLN;vQDqck%a*tqXS?-+FRW!P5|~;Q2)Q1n5kI!?
zV(+NS!jdwE?Ph=yc!MVD)bmY{@@LKrK6AR-ANsG$qh)3@W3ECOE(O33pVdApr`r<9
zO2`K-idj~sB3u82S6}8Ms!GHRmh!B;^YNUA){?uZGDJ-ZNBbgCHWEcV07dls$yu6L
zAMzbnrL^W{baVA*PVLPJdfLz$(-(pddoRR6iwXeDcmEZ~Xu2HLrN>t|-YjsEQQ9sQ
zR$Wmlq0TDN_bSc8&AcA#baDOf@q&o%qX;JA-(Nr^q7C)p<)m=qC#oxfYtj-$R=4`s
zn})wS#U7lH;%d`dPgaIQeBcMKz8V=u8lE(81?Ulntq;N8AnKSU?B8#`zS;>ZI2_VD
zpYRNrxi9Ibu3A`}oDJ_7ka#%10f`c{a2h@uH5Q48oR9j&NX+=QE$1W;v2WgCw;kEo
zU&ZIj6+51XFmB5dL#tE;^DHZC4=^3q$!Mwxm6EB`I0n-ml=tGZh1%*!!O9Q%5*s20
z3`;bMy;0JFoH1!(lWyxVO>U+K_nY?yu1_?Mrtlv)+!CEQmKC#G5lBJQ(z~CGNl`QT
zy?V;w6)AH<W>4Goo#P^T_hg(hDA4oPXW499?ecfe9=0$WXIpv82a64{^JuHkkQ?G>
zYm&Y(;(Kn~x$p@hzNf;@pKRM8x05}(n_d!_h@ZQ6XQ==HYmfevjM37!^SAQWe;a2h
z?^U2$Oc=C8{9m}{%K$#a+;als1NMu4d2-M;krlLX*y_JGs3@r~TU@Nv!0BB9ouigD
zVjo)Q<OW5L43_vh#aFezm~7_FIdSB{Jg36kfj15NmSBe^PE6|df|fTW_J}Xm|Ln#|
z{7hjq%Boq5Wt5(o9~wAERb1btBjw*}RH-USs=e}+J*O&Nn{8fbK*5~6U!VGQW#H%r
zSWWj~ac>%QI$9l)8zXVH>=w4DVn`vaD7yNS;pM2WZ<8Jc$J-29*OB5jqJsGB2KNsl
z$Dg_m><mSf#`_BI^$&Era>XxCKMfG&xhVpZD_Rn!vF&N3FJY6iAXOg-K=o#)EEjxw
zK^pbZ)+yzg>y9pg=kV?LMq07Aj#s&O(}KE$QK>2r73=)=5tmmF#K!I}@U(&sYLWo1
zs84CNf{un@`r@xIWlWQ7)nasYG9ynh&XlTh?FI$OX%CE&{90p$e`s$UgN0_kc+@Jc
ztInd;@`hCaFn_|Ppv0l`WMsDeq?-=M-go5%e-)4!BrzCs&pzw6i2>5ae^04Tvgd+Z
zY`P_ks`&OW44);N?XK7Dyz$DDch9VpC{c5)IHRVhHbo5DB08!r4)AhDQZ@2Vev8D(
zilVpRK(x77XmyEsa2+h^z-~I(&U`0#;*{9Lq$0v)q;hnB<kSlyv(qz5%9-FNe<P<N
zKOcit+^tcgc@6pNQ(6&;_}Kgx-txZ#a%lCES2FMUCyayAY&zVwpGW4{)s$bp^IPB5
z^R(Zo>Qm(Di1Tmsw?{?7$n~&!HSgX2O;S-0(M;F8woSyDs5-Bt)1nk#KdNbtv4<x}
zD(;Z^IN%{Yrt1+3h{?ck-t(iQ>`|*cXZNnTUq$MJS4unDP2O35UJZ5#^nT$Lv@vPC
zF?L4)dkKbUr-#T{YwrIsd-^fAuqL?oSA?;Y2y;gF6&db(?+v%3B*(>AC@-s7Z`sOr
z{UQThw{W^y*2>IJzy7-s*XBGOi00h4sUMYpsw;&>V_RKr(FGh9L>&%F!D>5249`)$
z)CH|HalN$|hSP<cui7OPJg?5nqn+%I!Sc=jN+8Pn#vxjU$cAF))Mt)Xdp|$H9S1}O
zWrRMwDDrdc5*5Q{>C){%mG_Ht{2GP&mPgi&JzX<<iug5y4o0pYjF|aPoGuZ11~5+6
zul|JgUg9l3-SmtzFwpe!c(UGiSnXCB!M_B#b(&Kzh17lhopx5;-PTK*V1+&(Zj-hY
zF;FMm7?Ofq_cS8N!HF&pCEd3v<R1RDFlr|*>vdV}^&uzU#H#ZfnnMf+xkFm@NslR4
zY9xzhhYGzCF&hZLKI_llc}!=8`L$6tjC`BDACFeiUG1(l%UVzd<e6cIdijEC9LRTH
zAb}kq=URzAaYhFj6Fop}+?DLPE;H-g+x_u|&C`$7iVr%pf=bZmlVzqAk#Y8EO2@2u
z19h@Ch-et{YFqyZ^^+4V;*O9IA*Sx1+m}a8Q_8NKxscf{faboZu_5#G)kDxMFc<eF
zNZxMFxttL3p`e%|f=pG;BJ|Je-Hv-<3nVsIWy{|x>l6jBXrq%{m(GeG!Pd0-kNaIT
zj9}w|?z%<q>CXkV(~ixneAQWw=U-f$AY_h)SVXi6>aIz4?mF|S!><~VGyc<uf8n^Q
zXAH!G+YCpMBSJ*fP0`7}iTOL$JQYfNRT(kk6xZ?DQ~0$c31*3|Y4wQ0+KhCa1PUEw
zjOXDj5$r@RATG+g{`G_3MR{XdTIVXpt^R>U!efb{Tbzd5zEH%;?PF-%d6*WwdeIe3
zzSt#O8Md<=9OtqXe<N|ln&bp=%h>bI&i%4n49EKRNc76yAN0Oaq`bE8(dh<PO`0$x
zgg<OMN-ZS2MkB?bWl*v5;LamdeDdE#tv&&wHa5{GfBszi$oqi<hwpmw-XNxgl9u}|
z(bo^M6TPqLR7ddaN;pQ%Vz^cmHY*^G5Rr!!xyJbt`+(bfoducUr>38Q($>;x``mw+
z!+c+ih5oYIb(B>Hue^1tv60I)U5A?mQ0!v4b%m_^Hi^lD7i<?_tQ-%D#*xWSr(q!b
zSikfrLkbp5g7d!JyZ>IN&d<32cr;aEawl9!s&b)3tqu9xR|n^8_P5IX+q=?5L}wd5
zjw6{~7T9TC%O@bEAzHh3mXangGh5BVW4z&xmNUonZ;!L?bs<-#NrX|d8F1t<9w;_-
z(QhYDm)bD3%C-m<Z8L7G2L`>fZGkh^i2io>I>(#Sklsd}P4rZ4@Ki$ZRPAq*wcjji
zt{fS46}>pRbs??YNg(=gI)sPIcIOrS%Hshyzqh<Cp47$n3V~6iy-N@&fALv(DoI<i
z1HXi_h)zRQ(!+tz2-|U{&O~*+s6lIlkBV5EWZl~YFROaloga#Tancm2I}16r5kd*U
zKtWX<w?b&~d4Qkm`(j7_dfKOo$^b5<=cCrf!pW#%$5#)yH9zlaU&r!v+U;p-;^r1$
zj#oAZPwkf!A-0I|Mrt)&kNWo_fltw>6^YCztYW#;w{42#*<OMnIP;p68r1oJfSnbK
zk?x%IDgy<4ilsJC{=}^ERx;}~?hcVnW}Ku^5`zOUoe}renPD4up?RKXsdNsIpUIAX
zzwz?CE(N-<p-(Jxk4hZ)ddxcNnq+SKyeg!P%V+=C1KDd`GAFC(e%WyoBsBkP6nZOj
z;GYK&zFS&4-)T3su1g$CaG^d5mr8<udY>%pq^-@W^Z=N}4Vn{UP-pBNC#I)Im<eab
z`R=?U0_h=7Lbqa=GR{|^adLU+poU0^2je^L;HJjBg-_Jt`BOA+luBS|yyjkK3^ML5
z1Lz$31?T|oSwyvysGeT_!f~-=Ha}!ni*EL+5eZdE)?iy)kQDy};~86)s&k5g=E!|s
z4dPxmTg&vS8hEO1(96jW2M-~=$fMY<>#IQ8B|ow^R|ZSe!wuRX2ASqn6Bk5q2F)kt
z0+1<1QL_quMu4%DqDdKWVKQA>pKp|6zJ5PCE9q$?XPtS@VAb4q3bSOu^u;*bF*LqC
zPpTUKao+kuvzK&_pZg6vfTiEaf2jAn3njZqz3Kh4*y7DF^Xtk_znB%QiPYt|iHq6#
z-SfXt#F@xMoZqsXVO;%15_Kpkv3s7mU|f1U|9VHWIWc$gc6nOb4#JM+_*$jwSs3}<
zlH-P9Mx0bfXN_X_YcUpyf3B>%Jf?X$S~4~~8lAoll9eU(JBsTM?A^}TGM@_-_e!lX
zwZ4JK(qo30FrP44DWlS_3uy;QaQtqI4lwB4X`$B>T-#+xkrn<#MR@&3?LLWA;>Pd1
z*462x1S+pJp2V4{@0f!yt;5zWbSgat8d%((Cq3lNjnw^P*Qt~uKXp1sIhw=Q$Pig=
zE(0Yk#!`0gmOg)QNjS==x*bn1E+MB(f0<GJ;d>=i0(xg$(7DzO<stygrJaw<{W3pM
z(AcoUUY7W%fc>2|g~Lhx0vK?-4M9+y5Gp9UR=6vqs`$rGiWI>f)jK1<cD3j3WeJ<`
za@)l)otamAy4>$C9;Hxg@m&>)*DV;Q{?^EhSmpv+X-ayQ-3VqVHH&s|xX8RFKDfOb
zD<Zj7$A}EXeB>XitiFfaCgUCPIj;{WDVFfv)-Ki5PA?uR^C|DFYI&z5Q9kI?!@<9g
zN>aq&woxN2v8Y{*liLq|g<jjbA<1IplrL&&w^|#_=jvyd_n0W)OdyfpQeKZ@=BQ)V
zqx^DlJLx~K=NDNn*5YJr^aUfa$ph)WSEVKoyoI;Dz1^)_L?5j&-8l>ki;}{9hF>Rv
z{U(KJ?#xM*cs&{qK9sFo+?ia1^gc;7R4)*|Pz(V2`S~F>1Bh|^wb)Y0HUUiB2xO;&
zV2{3tO2HLbI52f#y>`v>B;_Vo@UWQ-+sHV?$!G0K()+|a_38`mAML{ZMGE0{*^oP$
zAs&o2#BAI;N)vS@UV8TDG?HXIKJ@`fDOnp9H;>7{Ga!;94`#}0s7!9*NSKK)>%jLs
zw0I+mnKsHjYA4|rsT#tkvn8`;@S55CdT^NVf-+D3_<D$T`uf@7ZR~R&OIx>Son$Rg
zXRHwpyVXqmsypXJ=;$2E*j$Uip#jY>`@Rg)lJR~=(9<g@7Fn9oeVDx3;?!`-l}w7!
ztII0W!qy{CUUTTagXcg1;ag#MkGQ^H5uFnmmxaU;&QJt8QwSy@NoW6dJ-C}ms^shM
zZd@#Cy=MAJ*HcfNS+evJ6Z>#Ehv*5cw^i}7m1eDY_0GO7iXq+e|E@dlbq!xg{?v)X
z?}*E=$qs3v8`9=V6db6|x1BEfa$yKFch?q4;U%U38Pw!kgsir``ymo_%mqi&z#^50
z*6(b%n7=qN4?q$TA@-+x&gHsuoNa#}4#g}FeNC+yeJNZVu4|bMg`1}>^^)?ZuZp<0
zv@(h}XdEc0&}@1WZKx^gyhKURL0qCOBu3EoG;T>e(3m?g>29l*_Jjf{Se|0#QEdH>
zsH7B{jiX!(_i?GZx3XS=4+az&Q{jD!>%xVTRu-Y64gv6GT3gHr6qWcG%Ry|!C1H7)
z36ky^*2`OR<7<;t*7qkI-CBA#N+6B_zqW4%>`(L%x=S}FQr9zp)cYb!0RB9YE@6H9
zC*!Q^Cm|MKf;++kyN5&8r^Jy3bl#~-Nhj|qX0JMnfPsT~P~!lx-XU1IXFb_r25d_q
zT?~S14MIJ9@t+r3eGpDo2NCV+|2sUl7d((JcQj?VCr;-{JvM!fG@IwbGHPD?FPUK%
zWsPq}y9f`5K*9`t?>!(%f#)<G_5DLYT++WJAoAE~0^02apM{jlL-He;wPRSUb64Qx
z;YW^NEdf3B7STaQkI`m=9L~NYV#($p$Ei!@c*0G1i*rv+Pd!SO6Zf{_3WOyCJ*R3D
zo5_LU*Y`VN$h`Fa*U`O;xrE-#cP`{MO)9Eev;lO?yM`x6=*mTfiJqOIvZdv?jw1rV
zG2A5U<}H+P`bL*ZxH0`+O@{3Sh?p}t_ujEFWr+K*S3JvMR!maDZ+XC%Xw0hOltCS5
z{TQC*(0T{NO^Tpo`8^tBn^h>QvBb8B&8Hv5?V}))sX3I(d7p^BR+HoGT;hac5MS4(
z)e{aZO}|?1o_^ynee&(&7~Y*s1{8Ygk&w<I%{@Blx&AlJOz__5($DLx6tkg<Br_JD
zip{@97#xL_HFxirxmlDNoW7k~?UIarZ7jsVRoa#8VR!C*eX(zo)6Y{va_A((vWs&u
zp}!DaifrnohwN#6ZmXo?v0bgI=X=BcIcHvdc`p1Fwcll18!J6t**9OF?rbUkx60hS
zUN}KF>UhAqhgrR@9xGs0ubI$${ouh>W@&itF!Odq_=y51>Lcj9p5lB>-i>DAT-Nuu
zo>s`t{=60su7)XtH&E3hOzrQH(NRxh0tq_aoYNu!jJkWz>Es7V{0Lwdv~SzyjnulD
ztc{(d<?k}(!;_C8>gm6B=kxfE56rT@e~v^8%7i>IwWXtaUFomuM1`5n=edm(XCq88
zXtQbo)M0=4spsY?B@@CbqlVpN=zNvYd7?>~rx4b<=Q?*SH8M8$(~8%eL9#yBBhZh}
zR>E0YrY&`ozy#e+g5ur2ye;OHdQX62Jv~S~OTNaf1mNA0zf7uX$wY@&zY3>tKP)Q<
z2`;mDyOl)Qj%iDMF$`Xqj+qJdWszBgWxN5zV^KKaBkf%Hr5;$>PZ3Rtl=b%%W4iYW
zUWfIU30Y&FQr!yLGV3GmYp-7txRN4o1UePnklrbqQ_TAqx!$_Sg;Pb9+c~SyT+(i8
z6ieLn_j_Xv0$oh1+S&(HRkuq1Tsox{^6k7~=(}%}W^g=;4j9js)`%59pYNZ2iATvk
z^!T~^pU!#+k5Rga3#)oxt+ihr22id6Pg}o_vjC;<ACKIw(Wv;ln>ht=mcN0_>ZOVV
zK5E_#G~W4=`Dl?3Mw;3HoGI%SdcIlIQ~4D;o$FefWIR(}wom(@WvrL7V-jEJBZN-$
z_Ci|CMw7ti3+z_V9ych|dBrm$5wW~eskN8jpGK2z7W6!MxczFs+P_yZ2=g`OQMzxA
zFZ5cwd;K?zs#O3S+PW4}<`!XalfkLES=UI=bNq1~2)yVH5T!EMwv51@-Bz)_r;iwC
zOu3zM=eSZSwuF}EL6!&ib{c2AlW$VRipaz>!pBWv*t0asZmJ665)rX|>p2f!Ig6(R
zTie}(iYAOH86mX7w<4Xl7ogE%Er@a!GdE_jva>s?Pd4r)1dKQmCmeC8v@Qy9sFs0I
ziKd`6FmW-vrh|oEMSQdlQvCmOJL1RtRW;||c&XjK^B$`nWh@yUdvS0Jq*6p26D@zn
zCUY?(RwHH1D!}pK7GqKWrwh1y^SfPU+M(J+vzpa9-<#)B{wq(=rham*%^k~Zn6&3#
zEiZn3gO7f-K4(Cm@B(St$ULvaSQyKJM}_C1>24wu*b`h-bYEAwR$3cpR-g6UWrtM+
z#q5JT9KLRIh0bS|%3LpEU1dLs%EyaJ+QVy<1C~l)g~&o`Hw=Acfyx@^=V?kqZ${P!
zCZ(b;>3w%12&|s3CSIBi4e$L-E>Kpslus$2?$IB<zZGQ>PUsg~|IlMw1>nva8RkE`
zv_b%}P#$C@))>O$ZkY)D!-<^Di9PhNd{Wr)4UwD~;In6<c6hs1a?<U=t(2nq#e`oX
zmlng~HFww8b2YN#qtFaKp=k_1AcNXT4EE+Irfk&H(=n2+`?2;kj&JuhZmz>xy1(OW
z?7BV6*bVHD#~6hM&k8Di3prdV_i^1a%K+ySNMX}u4AVqUJjY-!Nq&+S1XmVM)m!(%
z1tQD(z+=>oA7+7wR)QSP4Z$3^`kw>1dEmBhhV(7-pkZVFo}~0g{CYHrPya>=|MObZ
zu9wv0Es(ZvR4gRVuKlkE2sKCfNkc(m5#ymbKp2@A4#VDKr^%W_qERh)FeF*6U|Vh`
zA&bP{Gwnd`H;5j6V#L5;O@OY}7@pi5ICok-#WXm2isoda*2o5zM-IhAyYT~k&=Mli
zWuN&i1sJY!z1H4m<peNt8imx`^hZ4NH;u@5r3-sE-1}B2K1;p;@PqKcMOEtGj@~Y>
zijeD6!_G8bl@W5W6Bqr|<_l<`2cx%_IYK}6Dvn?K2=9<M>`C$ofOEAVgwkkm*-@gP
z!6#RQ5S1cVhV^1ckCdIBexxQHwO(E*B7AJ0NhHP=P(%uAtDGYZGkm5sQj^EGTk!D)
zh{x6n3KrRk%ciTQL4<~(;Jk&kA1hu7bt#Oir(Z}`9z|BORkz9O>JLucXT++Al(BV>
z;gyR=5wTj2a-I1-2B(t_*P})cOBYnB*T<e$nZ2*GeKC0?Hu(pYQLW)wxJb=7mPg%o
z4yR#)oH|~kn^M%Nu`Jfc_0nUeA9&Q<`S*E|bksnH9DKAByVo!78kZ9pYnx9tbdyY2
zn*@xvXoBeaNR62lAfiMX;w<B_Svm=BP@e`SE|1EVqctOfBV{8!51juFxWuZq?1E%a
zgC->dNuhHC;kAdHsaW!-EIMpYCc`m?D>|E_B>X-2S|TS=NDi%!qF1lOp2fk?xkh&E
z&JZOo%FU^pCUmk|#_e*?_s$I<zi_{p)(k7u=6Imdi3mN-KG!v?bRXX`sk#<B9-r$V
z)SMVwY3I_NLA%##%TmQb+ZETfYE;`R)13HK05imh*=tAiM~Ba5ib&Zcv0MP^tKPt1
z>@N2!r5n^AGyt3_^^^cb=E_cdl--R76QRY&`RYq<jjw&stR}q2m7CNFAH$KlX$^&M
zDS{kHPU>eFnIHrvUl#i$Df8%`QQi8mQI{!dOKz9%=OC`1NkLQKPY^CM6XkSZY#T81
z@(U^nf#D5)?03(D${UK%QzF8MNeT#Qr$^B~4u-C8&9W&uS(<c7(KWMLxQds$(b7x7
zs+x|z{3DG5ec39+ic8}<k+EQ<0*OWFmtMt?m?(l9*sPR9^ZGYnTPHK~uAejr>Nq4K
z;h*lObcLS1vwDKb`<+)bre_#0XSl5yb|TUoB3H+bPRvDaF#OqlW4CqfC&u$(NI!o?
zd(pa!eLg%Ixa_UmNm1^rUP%+8YR1FNggy*L>G~W;yC$SEhQGuKbOhi64<#;J#uc^m
z>&E53ZJ+F+7AOnuv|668-nvJImuG&z_?!iT((Q`Gx+#$OhXQQIL*nS+s(XKL_y1l8
z<PmCy&x84`SKhLGigFaF^xXbL!*k)7M6t#?3}Tcq#T80<x#wlGO25S3HPZBt!N1K!
zY6T-_7&b^EPdO>-5P`9qFFsO^X59NRU2RPS$={dzBkbr#hH2lA*J--<HTP3w1^S#Q
zOru<d^P-GbM{d3NE6T8Y+9U>*>Iu17wBTK=6;^!fcR$Uup(SJ1Rbzu_kJdF4{w0*p
zyM^x8)&DsVc8wvH+Biy&Wo>EbgW+Ff$dsv>yJ92Gwk@&}Yb==p;NRpuM%6B;r79#M
zG7LwLj}6FHn-dN7oT?XvX{rr+`)C7@?Rle~gn7$Zu~m~<{JKj0fqk4PfF(!S<4hwA
zky+Sb?4g8Gk)^^6V4c;vg8*y!o3Q}M(fY?4Tv?MJ_Ei5p2*suZPF4VZdcoLHx)ja9
z{Xm`9v(>%3=-aY6S?vJWe|&%%J94%_q^ip(%=`$Ym}DcIp(Nwz<})l81jir%&U8Zr
zHWEA<12)8ZnWL(H#q{LyXzSAEW*#Xk)hqv*QL(b8$gp_xn<D8g9f|v#p(xKzQjLGY
zN2>jZN%H%j0u2@dMRw-9hgW)UkUqWHf+rloyHDe<)Lr&Iq6mM3W->DGx4H1@RFYx)
zd%#LHUDM}pODrlf`%ZQly4Vtph5jGj<u|Po<|y|p2x}8>V9@m0v#{h$W8P>=prIH}
zAds}oF^wo!{VVkU_ln}x52S6$>yii8$}}h1-FF#mf|OAWPZ3X8y@mJ9z)ZiybPj2*
z+s4YjIEik8=g?zd#6Z7U0AH;fl$Z|nMGKV_yZm8=wi@yPZAJ<}iHG*0#wJT*tlMgg
z%UW5D;1^%Fn7r(+0^PuK+BmqH6q^DWd%`A^(<9j+0sCT7CZ{Una3tmUFP7OEQ%zDL
zEiAvAn5Lt5iv-7K*^;qnlWG0^Po<J>%dcLye5cmdY75_MB{PJ&U1F&6=LXx*{(b;`
z<*c(*#N@NnojYv5C>rD$!+VwsG^_Z%0-4&v76^DP*6ov%GV(b5o;oYH{jEhF4i9du
ziV9LlI0#bq!qJmX&lw;PL2olfcS-q~lIRn*dbMuc%2FMWQ|{=-5)Ca6?D0)#b}$*Z
zy<46py^1MkuixZEzZkoDNV8J5plGghnGH0)Ch?G?KGQ!VQXd0mka;Y=HE}2-kbR(x
zQQt+aLxx$(Gx{q}*J|#CT{mX^qhts{8JB8ygviRuzg*cl0E9CM;9Va5%cRuE+SF;~
zB#NmTJYl*j5;5@uvriU!%;o#AF)^P6_XXa*@)xE~OfWfYl(~({a;};)n@NWBW_yZK
zOt{&Wrn{L_6uKQ8iXXQo+fICfn>Z|9NStR9&64m-?}Q-s#L(*lk({WrX}--oKPDI3
z7YdVVv3ZL+qPA>K_HJ||8$XijnLdA!e6pf?_os-#)!`RBwW+nbdWDe}7~itjyi0i&
zRgKlM(4!yO$4-lFn;^#2+_WoHMP{H&gBp3^@{s;0v>FUKNuB{IhkWDSDwg~bJI2RA
zP{<COFh^x))+YN}y?@p{iS>}BtE+C?xq>Nu@uSx5Qz$z+By97nl<V5qX7H}gSN|K^
zCWnR%w$4I1uY^>pVjHVDg#ArBgko=bIxBDI7X5gtJ;BaD{OdP8>v4P2P`RDbZy#@k
zx%~AktOYm-`FRopuXQphjsGBt72t6%F&5<)MI1Ul2qD!SPHld!WDn6eln{@-V^Fe5
zS=y0k_1u%*SFIjeaO87;0#tPU&zf%!Zj~RKhi|HFSSD-&=U%|SqWT8Zm;0tED>r_~
z*Q>MsDk!1fAqn>kl=q$oT;+E-1-jT5Tj{Bp1*9-`DXx1pL=`EjCwQph>>No6M*2@*
zU**L!ak49;G0P*`6*joSklFLFc0VY>#xw55qF(hzjw3AWJ7A4%GB3hqGrz{O71)ar
zt_#(@e{R?Lgap^ucYES5z}@!wD6|4pacB%knQU#1H&0@KL=g&d9r{>Xjqlm7d6XK2
z)^pXF-Ypn>2yLx<tGvtYGs1+iw`sNe<=t#Yt~x;%=5B=WXsZ1jjS}l+icca5WwD8+
zi#(_UPd|-wT-!1Dc!v2cf?@&D9C)e3>c<n-yBF!)!j~&i8<)^^iBHRWudK3Dg1f5k
zc&2JiQ*{{dJukTXOLfJW9uNNRvR;P>dLbRYEgIoGg^J8vgf;Ta!(%q^#j|r=E<Cy_
zrl&xRRx0nixbFtL-P`|X;u5-|^Zz~&Uwm)>B+iH37)n1=1{Inq!-XxQ+{ET@rn63f
z-a12}kGGS0It^@*CGLCzNL*`50ZIRrzZlHo3qx<vhPk&IOiywvrqgAFR+|gt0@3cP
zN<XcpX^gF)%;A)v>Pm%uBUQgP@2*Kn#e~5pB<@ntj6pE-WYY_xTj{IDdztX@Q?JgB
zIr&vT{*)zwot;jrX$k`U%a37?P$Mt_R9+M+wb1QE_vNmJ;n~Mnpfbg3gut))WyK>c
z_qqogsL2EV4yPoz^zon&UiEaCUC2vu#S`Pbm(9^3fS&WNyh^$cc#g{VUhG&q%u@jU
zHUS^$qX`4K`IVVg!fXJP-F_9^|Ek$)A&W6cTDbJb+Jdk4)#?_1KB+#NzP&lh1`X%T
zyxQj+4|PLuWM`5pd&P96O>@5M3zjJk{$BqtXX2afdB)=|E6}q}u3zY+H+CG@y>daJ
zV3^-GiwnWFkv_*6R5edp)-PNe{_nT0#J**Xn9yxf46jU*_<rk-gQWBv3-hk80u?4^
zecBjo(w!pkTbFdP<vE~qw&Sh`=?z~by2g6%K#Q|g5&e_BQ+D#b(L0^h-^zPLs%x;V
zeQYO56N86L{cy1<--MFldmIVdHKlL#36JrX;#d)@S?Se2^jh0x%wdn>)IJ<1l45XR
z*J%Stk#tI#L{ABp3r#9CX#hM#-uHpNV@k+G|A@*+tq)Ij4NbY-&tH1MDnn&C(dyPH
zI-e|kd&HnYIs*x8sd7%$ByA}MIhQ39H)894mCJ^CiEc?0XwvF6y>GEejOSGlmL8p<
zjQRDV{w|)TrAGz;t;GH#nDuRGAuP)UC`WyFpUJ6~%42rsl<#Y#(T!z2ES6X$e)Onl
zQD^|biKDvuX$GFhu}z0POAtZI0=rfjrw)noip_c6<p5C^_7eE`2HUE!3H9jjCnami
zKBw~fLCW6n1&YnYM=X`S?YDO|wn%YgUr|Xn!FJ$(M!X*%uNT)=9E@f$>Vr<;JGMo}
zfA;5CdC@+U5g0+%rkQOKe`PB|e}?)hORAz6G14N7$Uqj~j|<EzPHT0>#|`^%mvwGu
zKJD~PjKLm;OKfbN;aSOn>O3vlkRBrnohs0i6dKy>qse6#ucSGZCr*u&W%R24VcC9$
z`&C8)ZDR}+(~144hy4{SF;eGbC<aZu5gM0wb;Vn30t}m0l1xkUg`(kfys}00e;fit
zIilixKf|x_GlNrco_n;qP)=DHT0&h%OS0SFaz)H|SN-Ci_W=Xso`+v3%NNwr9)R;S
zvz0Ktf++cPxN7*ViJ#1fWY&2<{^Sn5xjksTK|%@TT9VI7Sk>q4z!QA7Y+DE^%&{r7
z{?UUWd(yB;0<BH7C>eLFMJWD@GGu_=<to>eg2#_gbqoVcS7y?+d>3ElWv?Me%KbyX
zl~9s-5a#sH>_<7dj|T^EvM@OJt9i;B|9@-=M54TxFA-P`Y}<=&eRewF8_zEurY*?i
zDo)zxPqTZs&s1vdLtebkhrp1$-(~&RBwog-XFAM@@(u^1o=E3`$aNqzJ_9%}=+W&E
zUdCsDU&k(KRgmKVf*8A%Xt-{ysaMm`n}$0e(Vo_vztJo50ZsQCOg-Z&hU=V+`?e=j
zh8BpKYNry+DBqcm@iJtf4f%=UYd(88o_)A3NFpAW`~}<Xspw;gqVmAqC@zhxUO)8-
zX#W*anFMG&Z+WS;&D03PGl3~r*f~|R%9=1x;NAnTN>-zId?Tc6pWGl=I0{?@Zymsg
zxihLVLFZg{g*-qs+6)C&aJ`J!E{jy!BVl?BB3YRx$kp9kXYRjJx<$nF+=JUm0jKI^
zO&KRf#?=4$tT{mREDBIo$WK4kUKs8<4oJEK8abC5l#}$!%e`KV!Y2<4DIVbOY(1RF
z>f^&BiE!J(uQ$MBeG$5mTE9MsdsqwymM%+Aa`K7v%iPJx5l1LubtvGg-LW)mNTSY+
zor))b(<4<)rkO*AK4>KCX7L#4reb^cU7U!P%|zw2K_Ar<Nd3>D`DJGP7I)CdEW;)}
zq+QwY^j%*a5s)DN#2<h}-Ucg0ca^V(TBRklb|XR;Ro<=mS}JBl>ZIqP$$fQQ1k}?f
z`OX)qvdOHOE_^+!P6CjoNJE)<`;7+J=kqwyd6qvqNsf41huDeKMQxG)f;I^hYWG>+
zGIDccs6#LcL`3cmrBlie^!u30*zUITuG?iEsMDzp#$vO+a>wxw?UvmP5R^A6q?Jwd
z3{KfA5?yPxJ6GZSpV2!XYuvc?b!Ga2Yg9xR$#MbrF7=!@$FrRV6)TVe-13uk!w(*d
zRTajzN_*r0`fK^YwN`GMJo%=<>k3B4vy64OtmIfKi7&a+y%!1mDGKD8Pe-#FkjdN{
zoocR0DxqFHBk@RUBf<0{FX94-i6_s3Rrs>1UkY7sL$#QY+G;w^)I|7V<eq}w^~wmw
z<v2<$KhyZE6gv3o;>5CL_`>vJO5A_Hd-{Y?bGGO#Zen!~e%%|+F--uK0JhIwJm<_X
zklss-zFS+=0leEY52$e~I0E3#xswC(=nd<N=P!ZPrHjD&Vq8@}%7-2i?^_>W#fMv&
z3N@chMB`B_zphkTgKnszvR0dIeFd#FFT`qg(QLP6Iz<)*k9#No(R6Cb%SsYsppzX7
zN|SLW1+$&_{Od=AO6t=84_9B|7Im}ttzuIaAgxl;-6;YJ2uL?bcP_BIq^OjXfPl2p
z-MzaY4bt69cPw2?yyJP^>$>lA{)4@KvorIZPyU4guqqIg3n}{a<w!Mz`Cb&(d0jg~
zrcpJRBKY>X=@T2nbFY}KvQBeFTF|Z1#fMZC1_&8F66OP*Zd@8O`Ms(}D0w-a;M#W%
zi5tXEce%Y_gSIf%22LATWD<2&0j#^BqbYPAV4){1sv<Jpmxe^OWUn6goyW7jb^inr
zqrH(>`~a#poxNby+?Jq3lxrr<<U4YCJCty+ocpA-Wq;&jCAS0XHk9~ES2Z4=y(*Ib
zbWl~Dcwv%*VPYzcQS6U<Y`3o&b_rx>k~-a^Dd`D!A5BBl(J`})B5euT%(DNcO8k2^
zEyd+4Uk+=wU1uoBU>c7I&N^ni`9?=6^sKe*+=RxUxjj2Y#=UJY4TKe!YGds0?x<Mh
zVfOJ{3B;SDV@3z7^=;YRWj9FAP30qNYWY`xmDNvjYXR9qoA*ZXq9{D?x@Zx^cz^Qs
zUd;xjNB#ShI00k5-kQmb`cy;}2}vN^3Uf<Ks7kO8M{)f7T1#AaXsm=!=PQ*kY)UdY
z_(18T7LW(M_`NqcH#~=ACNYmX5IJ)hwkdN-x|}9K6cuOf@sO=1zGSjk%S*|Lmw9<S
z5E?j1!DKG9s$s{Ta)H-041FO5N=;RJ0s*Nmsf4D6YyJGbl2eTCHleLJCM#&Thiz0#
zz1aTbJ7kT1?$6I-hOemI6r|H_IWPPdrn=i#@g_%xYrfwPJ=u}IKu|R9q<+2dj?4$F
z5lK6xSpzR01qcV)ZqGez7*q95+k8O7OiM?`hB|9QnI;?X*zrkpvuImRFHbMP`6Kc6
zQ)^%db@r|Djqq^=NZRV&HGLj~(do-ZJtc1BM%SCIlSiLyN)qlR9|zE3!j6!7gk1le
zQQx|6j_&Y1f*zDigS$OQuD1S_<4*%epLx>5nuWR&<(Zv8AD6D+B=Fw^9x*@?+62Vh
zggG&z6XW-UX~LsgVsa)k2-k?2b+Rr;b{^{t3sz;`K<#2KJyzjcAR0>gj=_1Z#}0nZ
zfaj5SXL9`BK&y4Kj1K%%DHpo->D|D-vv<smN&K9VFz^0+Bm3%*hd?p|D03EL(-ooN
zGAFDEc=tC6lU%8AtdQe7FxB2U(|8-SY!<v<Q1XtBX{6mLXqlbVKv83Mke=ji&cM5{
zUGv&G1-nT83jbIs7lot14gqm@Emi&OC&ZDDx&z2FqORwDeB2VpimNJ|BL{&E5I?o}
z{MgoXfFkkS0bBD~u79_Z+f&B<GFj*Zt?=jW>^Q>%6G3Vs-z|EIvMBlY#7Yu2LBaUC
zrt9_H!<J-16W*CxtYRay6@GYZ10K)~Bc==B5d=?7CO!|R1dq<C`$tF%OfKA7`E(dk
z7zi&T_1QK70+fOO-86)?xs}E1c!jmV6|$6L768mbd}^16+4xz|D6_bWw6roBAQ83)
zbCy?%NAc*ePxYyqJtbeIhYj-&3rg7%gz};NYDu2(<hYbP&x*kV3j0Fur6C~H1#<1F
zavXM$L&g8aGlLcwUf!y@I;9<e-5`r1|HK!FxHkb2Ed7&QpCx6{2w;Etr^-2UT!8*B
zdB#nQP{w*vtXPN}=4P~z*IUDU#9HO+Lwrctxx|w^8&&0jOk(tt5eeuSM(<n(E=~gn
zU!DD51HtNdbCP$qFuBtcl{%fsyE{y`__3H0qq3-{1|D}UU``XUo2FrN(~^6orZxm&
z37<`pJ`?WsiObO~GXqYNt!aO8TFUa-3(*Fn8-Kia=vJ@hk|eqwo{OK87u6Ka@&5_q
zk;feZ%G2!5bL-^-v$Ld@vh%~nTb625s|L{6b$vdEs+9}~irsu0(6gq^;8D2Wk)=C5
zD19=vKf%S?)v4aHte@d7NNw@YZg>{l5USzCY*60oMlij^x%c|ruy@AJ2mP86Zh>WT
zdO0W_VtV{x_CTV0(?)7*W&L_g{Q5Ky#FZT<@ZE+z))?jP+Zs3);MBLpT;eX(9Nw5h
zRmuE>dBaT<%m)fJucDc{sS<D1<<?{6lb%%-ekytd>@R6Pv~XkFklh>FN+0lbquB<_
z9?3WdM*Ok^4!oL`WxX!qK)PJ6`P5*}NfLYv11EZm8(By6=-CUywB=XKDG{Th)`v0*
zh`ybk%#!!q{YAo>dzl?Om&nD7zOS*g5JbMi*Y5*2{APdNmq!mmpV*EC76;H<#Tra}
z8GU%k*pzT2*}bs%F$XYq6l(K{fPZB|dd3|2WO>1woOJJ+r|4fpHGR{wt$sUcRvF->
zo*S_{6!}^~9bmziM*9cC!TU*8%LSw))|dVb)@h3h+@SZ#&b}v@ekLyamO|Z9Y|k&|
z)_o|c5aZw$@%|+P+@Pnx-ai|i!if}?-*Xll`sedY5Wgl?lMO;vcRx&?&yhB>w(^xL
z1qV_IW@L5qt|I1)p%p36D$m4ckvMljib{CyugNc(?(R)D9&j8kzapN~^$u#ewImi$
zmxgg85Iwn3IB?#6BDe950?CQOw$Oq-04yg$mj@TihU+)!Le*D~+0L=O&(>-aLUv`)
z3x)Z`0%hb9K9^<knKP5Qry=LZmE2%F)XJMeS)LW2kV0mY)bjxJ<b2zr>8!wK@;-0W
zqX>aFo1Vhzxs5Mo$A?r87Gqr<E9KEeF|2-1F$BCwTi72F@uRjD@%`xe8~IQ=V8SZM
z>wWc|&7Ej#)*fj(L!3Ou=udJy_xBC4kn}oy@5%h9vp<hy8ZDaH71$eX+<5K-1}VzS
z<Npq!V!0wVy%R|udth=DMt?1m3DXx*&wc>LT&2^1{uxFEOlrg2WE*oKtphy_t>%iF
zxw)?}J#Ad^qxWq^kG;tBn{IN4hBFP|W`y#CwFvl^Znxd|h0`4aZ2;Id+1L*c27AhQ
zmY*J6-fk!vS$}?Y5-6^m3U3yF2g<!oVLmdL%xppj$vrfcw^YK;3xXlF+00t**B!L%
zH?p9zN0p<)S8W;l^+W1?1c0v0r5cqe729upiXjHb!f$e@&#TXt4*E+#yz8B|2;8{8
z@Wo=6vwo7!vl%_#mSB*0P9rw(av{eIeE#tv6C_N2RAj;S#cy)%-WC?$ABUZJX)_;S
zKF&*|J^^MFvtD9{)l#f0InrU$O;dkj2kZ1$i?asl)4O-(nR2YSkgfVQFn&2SU?t%9
zoqnmn-ZM%HQ%>`b?R<BAtw%CyO`xFTBlH_V842YE=10=8*=k-MZ{*gyU;i0;;bcxN
z!)3pCp&a(OsH#Cc_6cn*ziXJnk5kJ2KBKET<y$R8z?D?3ZIJ#5_`ASCW{xHW*4V+|
zv8~JB_^hj}&)}+e&)(^NIIkjhX?bbm2@e8TNQsh9AM^{Hdte`A(fu177rvXj6WG(_
zt59%Aq!fyE*e=Qw8GDB0KNSIzw%1Akt!3mzs<qdZ*hG<{fg~4P#MxaL_kY}W&Z$BP
z@8VHwXa<Ek>Ys|&_K5MbEl+I?41SKPjIG=4RFBuch{a;&32PivwHSdRMkh7S9JW^T
zP>+2GZ-ZMqyn$b*HE?&D(vATha=xjrF1gui>#HuTo+m2?|Dn-DUa|1~{gBSp&x|h-
zL*llr1n!TU5ahHDN2F+%Rv7ol4oD@C{>wl7C~Dq<0%Kw#-N#_^GF<=kDA)Jg<g&hK
zg@n0^FZ5%xC-Ms$B7WHt&tEFvBebFge|1OWW7K1OUa8I6x8+fOOx@aqXQ;ua4vyWN
zBHZsA0|_{RZdi>dN6NyU*&-&NO(g|x-m#~D9jzqF{>C+dyKz6WoV$qqk9D%4%;-I!
z{2KGinY~}Pwh`<q_|uph_FowHH!5I4)U+~i9lSOCCvOF4_N{CVulwyZHjPNxkBZCT
z{>>LFn9DewGSI9a$zc9qT292Cnue9>J@`<>@NiF|R>x&*&0`(Kd&8v*Of{Yr>Ah)N
zPV{H%17tlq7UJ7u8{1d3V_2tX^NTfX7rQHvsQ^Ffcf$+FAoopT3%BdM$7KD67yZHN
z={QA}z|25haVpLN)45xDnk_2P$?H=}L1r;%0+andwy49gGsHzj14Q>zN`Q8xI_%zl
zS`>@Zl#t2P{Q>qc%bqzK4Y*ry&{F_4A(yOr{^wPF-J6=Wl>zj24;K_Uk#`}En~SVw
zz=%_hs(r^=fIPQw9468>`&|8)xh~=5!v%f6y@%t307}1w9Im&`t#*$AwvVbLMin(;
zW;&W=@0Ca+^A4fVOYhi_Lc0B~NowkCx1vRboVnqeTKVBr07S<e(Z{b^n3y{U495zw
z+j`-D+l`C`CDtvGvHQRNi59w6N>-X*+e&{$=v`l5mM*I?K|5{8FqZY;0D%qgdYyI|
zv^)Om;mnEK#x%wmA*_#?zg85`3Ujq&K0~lo6><SnO;x4d#XM8b&b;Q~hO(i4IN~a_
z;`pcBCsxPM4@zEU-Jh53V+~eLBsGqsQoF|pgt1X<Pf>XibQc+lj$n&s##|0UMJdW&
zn=@^^@>vVcQ=C}fDqhwC(){_JfXCq{@l0YgY|8h5ywd}NpASu2K4m|eoQ}uutekuf
zchZCUdGYOrWId#|ib4>FT$)8e_oX+xBNc?Fcj#q{=6JVuG?1#3tnm8Lm0DuFMSb&4
zH<DfMp5mpHO9Y&WlN0%<`P9RjzrQZ$>juCACW01u@3h&?Nx6^!i}9V-l!RIWCaaH{
zAu<UTG=%*>n@@k=wdHS6Cy94&bRs`<eKTLULuOTtG?&(-T%Aku^#HCl@|)RGE!Mk9
zbs!rd*n^RCGd+Foq_AKtG4Zg@D>*5AqGM!Pm-BQXX7;Nc{ntu2px#!AM$YeP&wRbr
z-GZ*hN7bq?$EppCt;>CAx`lK0D=~N)uLL#D02ie8`R96mmiK%&u0o2_;0voUi+V7O
z%nD$QKMnf&J%X3r-gq@tGk{lu9S2fpFJygb7$AT{JNGZ^BnVfXjyI-1OMx8TBNa@6
zo=(cCq#1aI(=0ISbe-n8^J_nhCqw6*AyzGZh0p)T1{PG)|Df3wdi}&8OiH6i#_w{o
z^zfKoJ4bHM1G@&Mqx_mbha(~htK~KwJWatQF(#F{8@$p?%BrK$Qtqo|Vjp$M(LBI+
z39X#J*luPksonh4K+0K7j0diVv4fo=g;J4>kL&v74tEvDXl}dUp|>fT<U8dCw_5Qq
z9lH3dwew>w;1O`<VM9dbBLIefo??U0IJ%1J>2lV)6NGJ>=2ve?X%@i{TA9SAqL#cW
zu%c61jgE5+GM{(jw|}*FSv+@fB*LC#;dE;`o42?tmC|tN%ywRzltzZ+o={c~HSgfh
z!dQW+BF~8!qJ#?&KjOQ%<az#&bn~O_GKxF$Wx(o-)&Ttcnjs|}IN4gnh$^sj0EONg
zuLYXR{@oe{9AF#t8QZbnZ1t$A;tu$3iPmI)sS@N;cpc?Y+!i{y=7u<+T@gM3H?fC}
z6P<-i`fQ4jN&x(4TfwBx9=$q<h)}}iO*ySvi>>`SFtW~7q2~fp%(_E+ZnmqKi8fS=
z790E!mHJv<g|d9(v-u`rF@uRTY)C<rF#p>?@GiTW$ufGUwJY;9;?eDyPkXIX(ljUm
zi}KS6XE$<mT-6$AR9<5mLP9`WryOu%^pDh7I<w4+U<|LU9i7ahISik7ss>@gL>&FH
z0@1uiB*@oz>|q;)!TRzaDD1Qw<yAF*N$R~f)Xt6E8Hz;U9RKXavR&`y1<{cpQ$V8=
z$kA&yUF7WzXSoM}JvLbFlc!9d#fB?;T$DSM7<!HW!ju^uF2eqXD1rOc;aT0Q_Ics7
zKF$MT_Nki<Vdi6NevAh`zLGL}$JH(2b}Xlfhh&|GDF}W&LRy#o<s>-w`$K2-azPt4
z_LT*~e>Q?Cr?0xlqUe#>*zTOg&Y3PX7C=J_%q`e;W&m}B(;M`OA+0PM5tDchFHGbk
zkx8$Wjz%;A9rR5Dx#YF|3MJg1K|=WxvLW1-lBx+=|Fc_JnVNP?tXzcySW(SGd$1~x
z8fpz<w?h&25_IFL9-n4j&gJD%g^TNGxfT{xJNqc!n7p&*)Zvd7cKTx7EwnijlasL;
zelbc<8lEHM6Z@-zv_vpeciH>HFIN)?s+;bwJgBDu>nY=%UqR+2O2MUb`N#c`<j{ss
z79GNmBvsEAEW;~WDChtSWYiJ7U(*}Hj{AfM#oVJBnCFm}7{SP}U1cL#WN+ioUlBP<
z)~ZXqp<hb<^tG0x!0!Y@_SEa>nTcEwE@8Po=c#sc0Edm@VcDB`0-aRBYIEtqK7G9u
z?JkG!L`=*;#Tr&<Q!W5`QHA9*f>oLDO#1mBlhd)+-riwLKrx??{U&Mg<C>V!V>Dj$
z4DI9LkKde?u;z7e4Hz~Dya?DXaifV)204SC7PhDVDnEFO15096E*h4;B=7MzIqHko
zg`HBQJdCYOoXC2h2OASwCvWqI5_2IL`H-@{@>B%NLy2RW>_9&dp{ohES$ya&yK?sa
z%jto>f_(u;R-p(GpGnZIxfaA4y4jn-9xK2^KZ`1gDqsz^!TU|W1-$U+LIQi=QqFa7
z2;S+7`+a)vo-K1kHSR?y0}hhGVJJ3xsa%ZPkdZ2d@<(vovI!5$=G0eRBeCu@<|&3h
zHu&6jY5YZvL6d4HnV|t7kt|G>0e_S-Vtr}eltA@+=Q0FDTy-P_aT@5Q2!_-r?{9s7
zF5pyMQ~UE32zLaJBS{W1;YF=P+Oy&6Y4vzjW_T1Jjkv(8!k6=4CnJYhiSec7gJ1pr
zSus;on|gW>zf^+iGE4rC^htMXkj?qZ1-(Lzs%`Aak|fV9byFWv+s6oh@?V3><hrb#
z#7tbnFgU7I#X&mcMKQ!t^!Enl$xGUemUDi;RAL24ZsCUg0xk~4UQ5yK7^evmrG^>r
z@R5;7sA!k`ic3!c+y4w)rw^L2b3QY3yeo~l+!SRqq}6SMZ-Md}h@O1?@1r~(kXR>Q
zZ%Vj<!os7?=i#oXLSLE!U<7b{xC|!TV6Un^`LUhalEkeeyeG`k9yX4#=)~H+i8hjw
z5<2x*ew|tNOlZj~w{KomVc#w7PnGOW`zr^}WrEJ#S-1blSu;o`TJuZLvK!d?@En1s
zkdu=+uNxcxLDljCOHOwni9^3w_nId)HMxOLE`E`nefe7&MvY*Pe0_+(Ytu$fG%G&)
znfACH%%@J2?x_KgtBV>tA}a)FZbO^LPR^{8CG~zrF6VqXl>-ewx<`Fqyo~<TS<-vK
zsz$dm1zO4DQlsMv8W?fUG{4Y?{OS<LSP?Ku1DlnL)vkvwFWH@CCkG8pOQKpFQ}GQA
z5<^Jp){VN(cGq93z{Fq{>YOa8mi?rT3$@3>@SUxq*2RaswS=$^2F}z+2^V|mq-Om{
zQoWMFT2c^s0Bm(Z%zyb|w(Sz*q|g$V%Zm~?#Y$j(%nDtE0dsW1-^*PY1yBNKvCDtX
zGzsFzA(P_y$bu_=kw?(thz_m+#-g`$VC$4aXP)jl#Lp>2qo)C=Mr&6RKy;;A4?^5=
zZwz;KZWPVi>0%W0ev^`;zj{>={S6y}8N;fq8}phl!^hRwik|D%u#^dRXPZBOq1`FX
zl{vHAe17H{C9Ua(QsMtraZ|%?briU}%I0!rbQM9kO;8wQwO0?emhaL3_OOuMoIZC{
zjJo3d<J_T-ISj?j$c^MLPm(5+Z2=M77u$MW^K{eKxchc8Re>S$g0v~YxdXf9PvXVd
zrW++{472l6{YgwT61=Y_(8PR-Xr<yDCvj?w#b?mtFnjaVz~+I^cbX8<BDyc??D3Ac
z<c=S!)M)0o=Y>Bf;aWb^fkb>lfxuA;PrFmGen-JTkDJAFKgv4K*T4PMI{hKbXp!sp
z3+NsUUXFvxjMffh*vC$cZ3XYD46wtw+xET1C>KoaSt91PO5A{saP`I9_|V`fT|)S6
z57{7d&xYbXntj+O)(t)^Ki|s#XE%QRWjF5rvovmZV9~tQGD7>2FA8~&b>yFRM2xI^
z9Y(k5DutcN1b6{h&;jN;_*%!Je&n+a?<jbE=xPRGcSi1lyqz=}kEzw!27}R$s}r}*
zJQWq-OEVQ4OR;wj*tW=zGeJ&z2Z}9matkusyXLep;bDKN5}<nlpi*bO)VP=4rCr<e
zXS6pfN%TG^saa`=q5>~#!z<Nx)f>4gkZou2FZGf3q=6-MQohaLOj?TV1u%!aLt&J8
zos7=`^L2Ey`(fJ%5ioLqM5y3hZ^T^79d@#@TTTDrRps{7jP=^I=)6qepK%2iRtr0b
zT7`u>cYqMx#<7tqzWioufe~_8#9A2ec-BJjzz9m4f@J;5$ho_{0=~z8mt_j)lN7Z7
z=9faAPfk3H#XjZj{Y32m!98V~n=`MW<KabF9<ltW%XX<!$0$bm*O#wgwj+=oDT?%i
zN?gbvHAHz94O(cY+H7U-LRAGn7LD3n!ss~J=w<3yBp4zIBV%piKoi2hU7MQ%H}Wbq
zGc~K<m&sKtJs+ESRxN%?8#hOpKt;J5hL4qz@k(pn3A;p2QtoX(MJ43YBX6Qc#%ESY
z*CB+~q8D9d1e=aF%ts^Y8U{tcXf&05>|4To{OMY!;eoY2{0)Yc^{{fg0RSew%U-a4
zPNC5cRq_e8?acKVuTrjTba_)EG^Ps)+unY{q8?wg23;;(PT_bbOQfDNsviZlA`Xmb
zx5*Ow=h!BhI_6|JCr<OCWar{nWSZp3*X?S*AX*w7x+t_V*GEFc1_RuTD@)=oK}ud~
z45|5@Vzj=IMQXMDY!wR)q~c4mnLocS9mb8^z@vFluUT9FfN8j5^?75hrDGlM<unBQ
zlMFE}Qo&=$Xth;~<SfVD6K>qmX^OJF>0vO5Y#>essw65kHRFh^SNmbe(-u0Og)ity
zD^cHOikqg~)x=PaZM^yvf<m3XB7=+U0yP@p0Ty<Zc}Y${&dw<t_Y0vc>3p!Tz8|eL
zx;l6Gbtv66;b4kfv-NZ6(@EjM=^PpVap-^K_De>iF%X3Od5h#B4mZy$zINB)8v#k8
zC{8dRhNYu3Xl2R$-?O#8oa3+;QX1Hyb`zAg9Uh#YR{K3gKL=5Lw#~s$fAx^yfpN*e
z+Nz&;Ylh4#QJx!FL4;jb{K?>2c)g&kep%LI`&J@a`UxXlk^Y63qFp$mzD-tPTf;Bj
z$;({jFBRp}dbC}@dX-U_ny>uFBK^3H>WhZH>8W1}^OjBVKr$;5IzKk#j_+1W{X)H(
zL?a0(?!bH>bX2xV@zO{t=C|qBQ4#*9=mJS0L*0|Zw#_;s)eofXuR!$G*7VgAez{Ke
zq<!geDfif+uZh84TWP;{K#F48+_cmlSs$3OjY--Sn*oO^G((2fwyVo6{rO7mXXKOY
z^!ln4zMBkgwR06dZ}$|(Z!7>Y=-!iR9Ci?0Fz~jo{zbLF1qBarLwcF;hmtw{*Ja_t
z6jg^4hOxN-jXgC|a7~tjorMiZ``;bawT1Q1SUFF<Et|_opV@JygYWk0mni3K>6V_w
zK8}v_GDS=I)Bq}Hk<(d+XCZHY^GFsQs`+GJS$IVbREzw3bQ`-@{UUD@L@&X}*7`Ho
zFYt+g^iXK@cOdkob{^b?7!RWqYw5P(Q8KA8hQ>bb%|Un5`F-z~U;RjB;Zvf6JeEAI
zoA?8O_<E{}V|Pnc{c~lVl}!8CWjEO(1HHnUwgSYEhlP>?{MU^Y{?4Z*G$KJJyjtfa
z8@aLjj|txru~<QWXc?rra`iU}zlL@W4RB3eQ~q>W>u@-uc=2fkWT$oGvMk^jn;Smi
zpTy4x^;ut+d}4cnR2o>E>JCj-!?D)gEBX9?Q}4ioEc1PtSN~g4Fir<iSY_9BFXqwx
z$2}lmNCyPt5j>4+{C_oDmgWuD(GM;wK@QsLOf)ci<VU1&W}TYdDIf|rLFR$<F)zY>
z#hAz1^?ocAZ5dF%*xp@U^)|L-W{tPFq;t(v*%l3fH08J&E5gi$!{@tw5#Ak$5@SgG
zn?0AF_p8uXCY{w2t-AAYO%9N~_+eb<%0cyEPR@4NtpDA*jH1}i6UNGy$GbqpunD(|
zBVJz0HQo<<k4hwb_0Qc?%-rBV`jBdcUydLz9lOza%zO80WF|u&T7o_dr9UWiFts$d
z)Fef#0nem=teQ#dK&6AbBgXGBprxFx6&DR2Op(EdHu{ZObv=w7^v&!Qq=A8rW`Uf^
z&gvu7rYSi50Pg@8f(m`9stVT$qEwj$CfwqC+sTtFS(|scJUF(e-nWyq-yXrWF9Qy!
z(5+}n+}1}j%_fUJU<6o^I9)2c%;r60&Y024fJ2&usUa{;7Vm+Nz0|yE7xta<`RT)t
z_RpW<??m=iMLsQJ1nE>l!xBP=Z-DmaV4#xBVDyIUCR_aG2H*Hu&#E@ZG+DLB`-`j1
zq&vD~YuHNh*{dpY1-G=+pP3Fp110J9#yGe0W#5e-)XKW4zB6u#m&&NR{!rP9@5%1P
zHH_-VAE~k|c;B!BJ)cdaq{@DGZ9;lnr^mMT)JiYN#%lsXS!7S_jbYq$t-(0R22RKa
zwZntPA|_c`Ro8o}%Bc}TuNMH9FK$gJt?kTu{}}u3!?6TAKWI)?yIk5P_bdRLn3(It
z&Ig4hKzvC2@%o3Qd+fyk`m=6Fg0YGlEZ*Scr+Zdkzjctr9@49aN{oh4t&^HSH2$)(
zFl1;2E?8A-mFiw)0#l`d3(nm72W|LG_?AQFc9~3p1$DOE)6==&EN^AGOWP~v{w@)o
zd2*nOdX90M-X^q%c}%^AJz+mB9Tja?mA3><450_hI}7$zim(E{EXC@qN{ZdKj52-2
zNA0fbtAXfld<VU~NDhq2MQ7sKUdsBP{h`JeGP?sOc<g0h{$qlV=1DwDyH`}Zdb`6?
z_;p_8gL~acUfGPpYE(6jpNd*Y(cYCFZY^At(`(TK;h@il4m4fxKjyGb{`xe*Ku^ZU
zu_bgOM|$wxkR)Ewtyg<Uj<5W>_(jiO<72WSp#+5J3^cLQY)fc&=5f^PJLJqh>PDfZ
zhK!6>-^nfBY(d=J^h+SEat5dtackVrU$5<a<@EYKUb+(9u%pA@IWy5Z^)s<-A`Yqf
zaET?nCZAZhwe=;eh-ja5d@kmXh|H&>mF;3upKByt+r<xO=>2!RBZfQ-0P|ukf_Wk+
zNk<r#EX|D?L|C#TJma&J+Z{&cKeMb2zV$_4$n;`6?%f6lp~!z7gl}~lIk7ei5SGtF
zdtUfU9?_{+Aw_7o69ed`6!;CAFUb8hNvIoxr`cM^*=w}le2wos8v0t^TO`Jfl9?>8
zJ<X~u#TBjcpb)bDf*8M4)Cj0cpG+v{Nwbid3@s|WGSnaU&bW#CnV~Z-)huPg3$CQY
zHwEd1aabs2v6rMWAEy>+tixbrm%T27{fhbGop|Q^q*hH)AjI=A{_^Je{goq`-FYpx
zvj(EaUU=?}GzIFbULHP+DdT}bY*+JGnwT{QT;f+D{EzW5Y@qXm3yIMEE004I&+*P-
zS9V1Ue=bcmwcf~JQDVJRr|Ynwg`Q!Amk+|=G_DP#b}-88pXqj}?1scqC&4P7#U&~~
zBVO44;=GEFx((}4?D$$K8xo84qA%{8m2c0rA4#1)=^u#_sYriMN9wY%lRho@SlGd7
z;U4n#%BOyA2lUvEGe-=`D~4h7l*Lex?#xo2M@k7n?Gw)c8RCwKuZ+RZi1kF#s9^Vj
zXrs0&D;hYU5&nmaq4@NfFOP*&D$InH=!SydPvsI##$5Qoqm<f&AFT))_u~LwWOd58
z=ur0&U7~Hu>cpuiuUXCCBwfkjU}je(w#AXJ5Nj#HiY1WV;#VNNW@m*1;mSZ*g;Z7b
zW(d2ju^)&800}&Y^Wh+0?Run^M^OEUMCET|uax$k+ZuM;frsIl_v<p}k8v4-Njv&0
z<=h$s%4`p}1_oBoQkOCO$X%-CFDNguBf|(8|4ZA!&B>fVC--qhd76%!Xa_QayZ*5@
z9SPf@6N?V>hSY$|HCA!9!mo7`;(v8Od5eitiLqN%cK>O|ny#Es>L_tY?|QdolT89;
z)$KQT7;dkL7i;Cc?0*Y(8$s)487JS9&|c3h?90`#cK5zcQF6%CMt!&<jXbHK`wB@e
zZ9!3?vXy*i9K&(}ORa(nuR|U8T<gB`&?M5Mjo$r9Yyb3JF)`5ZGR&3LHmb^5+Df9?
zC#u?c@_?`G$JejR>{QjiN(6C5*jEtG{<(xst~WpiM-shD56+;Y3gA<`R~=?QOnp&N
z-NyTNdV8`%fFl6f=^x86wl%W0!-H<1id8(_W3sm@Y>@6If~wsL5jjR$_QH)6lXki;
z%nv@YktF|~Y>S*K^tk2)3Y>zeFzX(LKD+f3rBgai$vQ9l)R0_t_rE<+fBALe@rAMn
z$8x-Wh4W=Aj@!-no@6lPpf<vF9Qu@;Aixey#QD`nhDzxT3wP&Hj#+0{PX!M)Mj?e9
z-3=P9IFSOWHff?=_)0o`Df;{AtOlL$)|0aC4l*w*qyTRhFt+d`&-A&FtMb^yd!6Hg
zC}CTUE+o5M%u-IeAJfBH(J?K-c~ZAI%sdB;`@2?h^lY`@j==@EHt^>omqB1pe-i8l
zhKoF~=2OW@wDi3WTvNf;9HTl7o%{k30Q2_-hE=7MoV1O@qih;BWjE<WjDjuD?`q@g
z>%^~jAaMLira@SI?~7!VFzUmulx;V=PB2gDXVzi!nX#c4J?u)X<4Ae>gOewVZsI7&
zKEb#0SY#rI5d4lz#QcjJn7u<QhT#6wQ#el1P-0vl`7;uuN;Nb243&#W;Q`ssST|GW
z2M60#eH&Eg?=UYMyPbQRKTroF;&~}!tr#GRqEyHPU4|)DO@I62k^9t0pURr9i$uj^
ziSV+jwqJQZ-bAAJl+tExGC%@c7ER1zE^hvBQ#t{*D!H>NlS-rTLal-amWu&8d0%--
z|0KAArHCV17%DY$Ynhu|idkkQ;!T*x?|PVEq8NU;EGcv5xmj;lNM%tqr;q`ve3T&r
z`|I`NJMnH4JI)$I?|!p(_XwIa)sw)Ow3BtTwAdNn-zz$pqTS<9M(baFUV8@Tcd8@4
zdO2Nur!~>n$z#63(!|mEL%qsgu#R(eM(LLbfR__Cvm|1Oe4j|HutcR1q6yyYZq>Y*
zFjg3jh<TizqCI4{VJcp`vw(ooQ}gqY-(`$IY7dQxJmge}C^W~Ux>`4U<#VT;zM*hS
zXcoPS3JUuX6)fXY@6aJf^*Vj$k=V<@;Cz+X#n2!1Mdfio-$h@^??ubLB24$MeZ%>S
zk=&<i&d{uPW|Y{<^bLD5dh!_?!ZXHtyeg_X74GP434;9j@Eq7>58Y}USxD^kHtS^Z
zG0E|zq8ogd)v(M--V>C6RVQi6fXC0%o9>a|FIT65KHFnrsWIiRzQb#do8OX9#q2P$
z$4gYNFVbOQdZXZEdZ?I?T`&@frww}tq8mzUJBbgfrm4Lprpsw;uQeqQ`NuZlvGe<n
zQc*#_DD()X@$#U}wig-wL^7%+=)k>@dxB^cvuF%&a3>LOjcDJow}(O1_q;tc_;cJT
z8=PEh?#&Bt`Ih*%6=0(y=jrvx93^O8UpaCGMPt2aiaow)Ch>fy45{gJduHU3f&_&e
z?ZHC>kurixbi!9kG>8x9wgJTo9SK6EGJB6u!E{CZ#u+&9-YMlhp8LB?^<!qj-CK%m
zvu_5zfhZYod56{>53~Y4=FML)Ac5ZhKi?Ta|L^bo{7TcFrqgAUxe51G8u;^X+dSB^
zdFf;Be&M#xYTVAvwb<hAmH?c3hxUA=X!}aS>6xuCANa=B!jzDay*?b77{|l6G89_{
zoxZSszQ1x%<Km!qaXfR8pb9pHF5COyTV(K}rEZ2IUc9+(uEspJ(()dEjr=PA?Pw07
zJ3OV0GK>?|L#I&Zj{Y|eP$TIf5{wqQb}mUTh}@v%F#ZL8@;w2{aeIP5K*`E=BuF+P
zh-k{_nrzx{HwkB1yr$RHa!B?v9P!T0zK)odjLw&!+k_kmzIL~E-Fi-wJS=>r02qD_
z<k9aRbOPr1p>6xf=XyQ1_+eq)$WDiEo0>skyeSVXnRE;)A$9UMRU}@1&BFOsL#XI-
z@M?wVE(Eq&RhesCF~1`X{Lywf9Cu`_y7&0-G2!E5$j`YX;p3q{N+zXyNjb0hkMIbc
z`r6$oQB>#psv>BFsr1ZYAr^Hqb^%XwzOMyki*V^Cr-M5wci8KpVyq(hDFHk4U#p>P
zgp*e}dtY|1u(VBw>1O=>S82vYDlXe8^!ZSRnK0N4Druq+ec^<MiDimkVC~i~Jb_}6
zUZq)?n=2Cw9yZN_yf18Fy}>Z+4rZI<<8}SWxh?5lJ#ctuDRvF2eYZ@nuh6({%vLy~
z^Ltwo8`tkob8>k+@>n`#KKv+3+B)ZCz-lzniOCo*U&~yBVo-UKjm@`E*XH664+{SV
za&?4jAJFUf$(J17Q4T(Q{1n~2%VG`^Xv`u<tK|WLKO(#m((|pZVqwpF-mM?Zq@EQk
zVKla-er=Tdw-5AJ5(OWgELCTpCg8IZY#Dcu_bqrxnv6W#wyQf>Ze?f6k<isnjrsLC
zjGIRcVU1t-+f_=Na3kEfNxql7iBs6UzgJ9!B#($Ll*o@s_BqWK2hy>Jysz*#_i;<*
z5$m?r+vM1Uw+_o>2KR-mVKnA^+2R8_ErWl0rp=J6FokeEt#lpH;8xhs@#9xr6^j>p
zYt3yJ&!54o*#E0GSAt$r5+oKAT@{JmGakFzuGJoUDL$rhA&;tlOS55e$KMkZAVM=q
z-G~5v&XlNxW&h)#UpS*&qtPvg_V{epg<kHzI)_J>hP;aAGKjiGqVYs6WL0?$nd>J!
zm>&>YLaz95-0t~w`HNLv{&;;+ULeKFY?s5NA}>!0&#EwS9~XOE@!V6u+$Jt;B2%+#
z%^a2`dmqMRj67QwQeqbNUSjc%Tmszz1a#mI-g=7GU$s_L4gukRIkm%r9{0bu?UTxS
ze@>U65%pe6cRE9Hr&slmQ|!y|<zInD_Op=rY1*dX0yZ?gkIILkWopV4FT>pEEloMX
zie$;G`vsJ-PT7!dSsM>uTl(eH8hwgoeGs;iKV8{lT!5DZqp;0iWXu>o{+@iRsX5Wf
zxFJN$J^^nQ?Z2`lvFAK6iKJ=E%%PhcdSP#3k3qH!zPw46<9(I{?ck}gq$T`)$5Lh1
zcF%i_UnMQxeHcsBfw0^!=-kgtSiHC{%6|M`yWy2lQ#GVF=!#I(yzCZ!OX#CIjZ2#X
z$D-16>)z>zoMW0~BM#&wCzxU5%6SHFSR~<&@~%Y6m`&yBsm4I+SgJBNOX|`l3pQN6
zp}_n63yZ*@dk<H0!boy5T6Fxp-36*289MtqFWdSdODpZM8;>$m)tH6HXqi<y$&<^w
zSQ4^gSj(6R9KN$1kAsd~eNN<RN0r`?2vLJi7Q69dgUdV#nz}JK&P9bPbDT9yl^(8Y
z1!ExY0+D}EzE*6*&h5}1!LkDx1z$O&A+Ub}3Eh%Iev;Z+s^QneRf=tE^93Auz3d){
zv~mL7Qd<)j?o$II*dAg&19!-R=3fIji4F6qP7aO0a=6Y#9!rV01mEi(W-Xs5DVjIa
zU^CwN1viel4YO%4y3|cnKR@0-3le;c_<1#feuhJfIs3Hw?mKezqX6o|A*=SAsf*RA
zx<F+;3@S7sF1Am+EzknPrY*WpZ|xjaWq5#0T!in!8%cU!jzkFHl%)S!S&}=<G}v>l
zv-!vW|B?E^S^eU#mxUe~R2)wsNr<9HmWyxLlF)fiDC<25s(6$L!eDPy!~^(k@Eoc<
zK3q7W#fW|4RD&T1Ab;d*_8Fb6Gt=}bf_%W0?#`m(0na*Z<)|Adx74Gu>jO#cr{s8J
z>U|8*7se0uMVb55&PUuNe-cyII5vu4#TX$$V=Yy*90*}jbac2ea)u5L2C5t)Rq@GA
z3)7a6#iT4BceAD-z<LOBA>$I}6qJ?sh2(8&ryw5na?Pq=an*i|XpU|^N10F&qJe~{
zX<W>r_*PrLe<;whHSZXg*f5Z<z5!$4aar1(iao>V#wONiPnln5RrvhA%{w1Po>4$c
zsmYTGKsm<a_8;=t^w6wmpjHMVT|cIdt+{}nQzyd1;{B8Es|v!)nBW@%;Gb=<XWzD;
znv(QFy(<gDEloDQ%be9;*G_)QF&`r)c)?1(Hhlnk=j|{7Q4c^P``KIc6Yvs0mjCCH
z-bpK6rv1Ec`zxCU`89UafYk6l50PI8Pt~g*d5^@YF;9~zDE0^l;r_pO?8kQoUYI>v
z-Wshb-s;X_Wq+@^JQPD@&FsAKg#=-LSh8yLS(gJ@w5bng8dq{PqYD*~gV^jmRDe2P
zZQpQ<vzg|Xe+rL~X||wU&A75yEMb4{W|11R7HDNX%qM;J4azyWS2B0#r4%w+Wozy3
zRP&Zbb;|Z9Zp~ms0s9RGU^8$Ag;Foz+|xS*0`7Z5lF2H6H05A&PF7Kki`0;=hfyGp
zx_he?2MGcBUHt{!;&P2h*j>yLzt2@_%o7`@X|ScJosOea?}|L8(1|Zgeny2Pucv>2
zI-nzCjQh>Zt|qHEJt(k(AGMzuB#7Mj(BwWkPtV#dOb1sDwV;ZUjf8d_U{-xRWm*U2
z4B~|8`%7R{;*(E&MSg!m#6J!w4*7=EQh6ihc{+#pC2=SHxi&ihlz9IEl&*bS)UwHt
zpdsO5^0xby=rhEHN7Ow@*(h&}v^DIN5+`lR19!lQf;#NnKGagl4(=-#_!&h&>HgIH
zw+ubM!R$Ng1+q=2)jmk7#{^;<eEqGQmUs~1S?-69B!#oAIM9B0^BafFgipoiPb$6-
z-ppg23Q}|Q9;x&_Rj2Zd+(2cu>HH*vB}+R9h;fmk<!mS9=Sawm-7*#Bt8?~9UwWd%
z>>+aAjxhb%TRA=aVUORm1mM`HIfXkNh>n*A7b6As@556>OeKo%nFLqTjau)KPIV<_
z5o0uil1UA`N<!f@18z^)D{HT#=me~vM{0`m>J7ZSs(9sDobhPO^U^&V#J&ZYYZmzO
zdcay*P6-~5;h!tpy2{#*e&R;v5tO$*HoOcjioP0g`;-;AJG69B=sjg6QuO9qc$x2}
zL>*MTc!|S7j@@gQC4R7=oRr$J-^j9mHH}<eYL+c7@wwOdQkk^%={SPvI8u<&t*S|=
z*XBjK^baU%U7`1_gSjjkvj?7NY5#11Yj1&^JW~QB^tl^5e6Ic$aa7|%lUy~~wR73-
z9}6PeWvIvdP?d+^V=s-|gY=p-c`Pe)Q;o{sWCK1?|Jbt`MGX=kq;5c++LV!ZAtSS$
zFrB5E+LgY%Ve<z(jfpaRy=<zci^<iI`ac@e`9zlK0M^(e)ee#oTBl6blYP^)5jy)w
z8k2f!B{=r29Q4+7&}cx)MhX$<{exq2bD8#iEjL=~oBsSJ0KmJzXHU*1r+QPh{fxAp
zym7MX&i4Kgh}eH#+pQXGL&a12{Bh_uaC&6)y%9Q3BdN7t91cF!5fqZ0<&Jy^6?a4I
zdVLSA6@MoD^A$)yeQjg=Ol*P%-R@O@HP6w|$d6g#esNIgfT?Tf(e1Nn5Daf&t370i
zuTmQ$2<_JWj#RzZi=F!>MT?oK6^5}?%UQ-zWf1-d-2A;ufF1e10<UL+i}NBo-FgbP
z315J}zTv<B`pvWCj7E!|GDkL_Pe?LOtglcHF^GsQI=GKz(?%vAv4iTcN67{;RU=5Q
zfYjM4b??4eD9WB}AsEe>O#c>#2U@nw81k^1SN93`L0Ic|V}N*6><ZdXh6$Rd^~J=|
zeY?h<p!YgKzaljhffEj1ypKYkYO-5D+0q}ih}q&+4tvCGn9>xC$s!o7GELU0d~Z!%
zwNqYN%TRzeTi`jv#)ha0m)`{~=_`1cm?Yd4e<-8_p)N^}O+@=m=k*gc(r+YL6sOC^
zXSG7!;;NS#7j%gTFXOFI8bv|2bwMc^nSsZP)?ljq6f!pZ-1a;YYWu=vn<Wcs>*dtK
z@d{YUwP|gqx~7|M4|1V6PF3>TL363gP(^(s8jbS+U8a4~pv5!zN+SG))LHL}!fG0S
z$p?Ds@?BP0bO8pU!VVwh=gT^Ixf6tLIhM*lh~ayhX4llE>++3Nt#i`Quqj+hyjsd8
z4*H4iF+&ER`g(bGmQ3q<MIC5Sxd}DawrKU?&eNXz|NQem($1-C9(JEK%AEEGXZhri
zMC%KRFH%zNO33dM<2%IWDXoxg8sDi+tQAw~*Mn<P@*^wEh@iasiszq`@(V|6wEdx?
zs|_w`Ylrv;B5)>BLuOWUS~T5b11oLFZBWj_deTw6`TlzbWA5+x>4y~JBRcx|1?Lw7
zIg&C=*5Vt9+=|j6mv;^77Djfw>kj1T_ggV3ir+cX@E109edTo0BSgtBz*X?`*aJ!n
z-pkVCtZ-GqP(VX6e1<0da%vNr)Ad4#DX}gyast3^+rr?tpdmKV7xvdLn4S$EdNee7
zo)(Lq8Y}v~SF!gfQ}Sm-ST*(&vs>b7$lN_7&uquv^M^6godi|w^qIOMKyxfk-D0>v
z=zvOKOeK^+LZsqt+fiy&tp$4XMJ!Ks)5&0fSbs9>)}6X%@D-N07jV@sp(dNuJI|Qh
zoIb`s;Yz8^Vp8iQ<X5kj^zV?SaYH=ZKhljCkL)~<NOA5(z>`N~(XQQkIe#bXZaVfA
zEb~9BaV_%al{$t4Icu{7!fybMXSm){#Ofe}#DJUEi-4WYnksd&$PQJ*Yvys+W5bUG
zvF%cZ({X#5s?8jbHXKZ!tbSCr_4|}xyi>G;Tgj^{N4?uWxMB7F3-3|>i|6n48i*LY
zz0!{219Ya+&|2E*t&F+$8{{(p3>sF{+^N>eD0g_YaL6{$j9){|-WC5ga`bF=EA54h
zQ~A<OVnnBm%hgb+ojVo+6AazWRM|66nRB&heQ5xYIhQXAE(DnAx;wX+^m;<@i*%gV
z!@lCju|V8Ke4&cH-Vk|6t-Qh2>d7YdbLjA`!-3BQ0J*)f<<}nQSRQUHt6Ua3CLwTU
zN|>^$e`dz9Ts!EK(%b%3eZcc}{nn(=Wu{!L+mD4_vC{$BR&|G_9eY$s+;_e#vO-!A
zqYL1lO*dIqi0975r^C=398COB<W+03GSP-Um(eoxB)cto@gjFcVZQ`9zWBdq675rn
zA{$wFg~on`%B!>&nsi3V`V>c|Kw%b!o@Q;@xa2TDc0Lx3M6>o5F!mN)>>FM%=h|D{
zgHR)k0REG+;k254w>7DkU|Jkwc&Vo8pIq?vGdB_yqiNbP?eAcOqVxDrQUQcZ_y>QE
z#t`@aIz`3%^cn_Vs$G?z1QNC2LX|sR$e!>zjQy;(O=w)x=T2@#Y`(1bBttnQ7#bvn
z{-D?Fn+YGavWRuFodbf4(MbLRd`yf9l1-(4lOTbzVOJTm(?Bo%OD?A9$x@CVUFhC_
zqQ15hxrLXzZBKM@kcQDngf$GrsvI?MwI~9lL8bGSj&g|x=lnL-@=k>{Zc(G<$Ia_W
zl3zx4Tt23wlk{8QcAp)j`d%^{F@@<1G^hq&T8i5x@K*l?K61ufd!l+rksU;Q4scC?
z7j<@M8GNybpy>cX<vQiF*Aa{I<y-fkc1|b}=PrS_oGR_&M&@(F#G~l~<-^49d_I~#
zp!65?`{n^a+Z+2Yo4&-OTE)q|`LEzE9#cu0e8ys${yGZSm2F|WoBByM-w5Uks+%@*
zh?JYKD;Z@c*9r7J&kH?%dYClH|MKdYwxymZgby4+P~WnYcPjS8b#gEAY#nd0mwkEm
zHrjPIe=6R~x#8SHm&m=w2LUSuHuwQOt0XT>aJ)roWt<uF#7==@xqD5?Tnlb7PZxQE
zKh%6&1Z7LTOYjRN7ol@LBK+mjnSD*2Ui$+G4v?E5;m!IyHyxd7ZV~7YQCOj}k`*ue
z4!RtfJ27}-FJ@XUx@;TAwgcyuL|XGwyrDmp>kJtMhji5Qqmz7oHefR<T;*cFcR=b=
zZo1u%A5*YbMQs>1(TIS13)skL%h}e;T@}6*4~Oz|_iFEKt_h+N3<w_bF^Kz5?jv<I
zP!!+!lpKd9H|dDFcbobm58aQGfMPd2Cam^0ee64!USn!YneFsAAP?Reyigb1L6Xa(
zl^T(CO9y0~ozaWang5+UW!1UKL{(?Lg92*~egd*~K~QeD0__35zc~z{UHfaW=C+|W
z;y8)DGw0z}4s&M#ql2d_s&lx=<c=kMZ1!X~9y_Z=t8}+5wR?}J%$MZc^paGyG)r&q
zmMbIF^lb>NEa*cQQHTx>r@T#DhH=HF1Vo*a=AmUe;Tx)6mPrdu7BQrV<&jKx;*u&~
z#}0kge56A+3u#u2T{k=16Km!_Y$?fMTA49hFh4iHC-U1<?f{`k`kL-LcM<sQUPAu2
zOTRg@SFhp8WW8u<wHbTI9@3IY{5T4u&#qJ(tW(2@bN-`G8mlygib!VfA)oqY8ut~v
zX1LctB$O3hE|XvCs~)qjPgkr;TcB_rvpQ|jM0f%Qr?a1BVduAl&Su>99+E@p2M_|~
z!WOS4qn?X|j-Ku^M5MJYQ%mj*Y!<VJ9FNt}m3g}ZY=lLnlO0*(`xzxquQD3~sY@<!
zpTxL(-gic%plg)jZ~cdOA;vK1d+_}2{O9?5?b*E!U+^;~JID_`6<R=2@}??P?35);
zSdeRxlr-5>K7DI8&_bXD-yJ&m)qM2XmeF?HYW<Lxcvj_kmJkaZV)N&c+a*$qt!Kxr
zq`afX!K7(&w25G$(EJe=HFEWA#Z%iJb$8U<I(<3kp%9J}F`-QPY1)IVKLWOM*`b-m
z7s|pF3_Nd_!sqmkisc#l+Tmo<vJkoy<sp&xima0t4~0h%ppFvtiDW}SH+8By1Mc3j
z7W!dWSb@^M*)6*wS0b-^5P~}+n}0BLKdu)68Bf9JNAw6Z3Ez|MMp(g;UQx)WE9<HB
zg#0cjTa|~7eYhJE&7-lSR{F_*??&_kyKwj0K%+A~|8xO*#GMs1$9qSnKlbSNSb*?r
z6BBNlmI8q?c>2;83Dw=v*Sw%<`r%z^ZI{)!P@%PhJ07ret&NUHne&eFW@0pgW9h{`
zAwbUgDu27G47I*&$M=6+LXNGi0gob^){aAB8`trWsKRp^(J8g1`)i{6nXph9YeK(W
z4hQRf<iXcchhEU(;WpTOWM5WJ+HiXLUz3x|3E2e9eiLB3U&)&5dA`#aXd~*C*FMeZ
zE0J{U94X+rmR&?w#ZicSsbZ<pIM>CFD>5V(PA+W@*WB(uTK4A`%Oeq|vVbXx*>)8?
zCg#=L<t3W$w0QgFtDbT=z|@I?CHy50w&SDxS8-e(y|~xrr(qWr+`4CDA;<f5hCOka
zJJMKY&)(XR-Ut?j`&n;<uuzxx!sP)v75`4)3v(79n&p)RrCVfzXPT=QnEC#Mz;T3a
zv-F^F^+0FDUv>w;iyr>5m$1?(!F%>;_@q6e1AE_9;?dH28+CSX2ow0t3g;?L-mE#4
z04kvFUC*2y23ce1XMq_A-zv7ahUYM{5I)}LbZ29_Iof1p+p3TJ8VVmKx9cr);)!hH
zba0F8ZLj59c8EnXcJE(4Gl2to`8aYndY4G(b-M*^uZ-cWuy|$R!QE(3@yfuP{-gUJ
zCIN~C?kIiYf6Yd+pEzU1{q=uYjGyVsyOwAu=NEL@Jz%;*2+Vu&a|sG8l7jqRsy%}G
zB#P@zSoJ3PHp~lyN%y1S^O`J;@~ljjtV-nCVJOw;huFNL&hg2OP0ZQEO@maZ2V&fp
zP17f!Aj;bKRa$Cw$@=zhoZMSc>Q;SmF~4THy0p%h<lWJ;S0)aGQw;9X{tqnEtIoF1
zXpY9|bU(xqM02;1+}0GdwlWwm&K`gBNn{tl^g!phJmX^ozlc?w-gBSxQc4E+F1MCj
zamM&D&J$h>(2J5Tv**2loNgY{$BEVsTrpwaADWkx(dm0OpF=mWv7-O{aYAvqqKYPh
zw+RunIIZ54@NSd7g)Ii@dpt6m-Eh49;c<-n9o^hhom0c`@?S5>zdG0F-E<?><scRh
zzFROsh4T7DD4}B|n|7`#qk}EJXL!XCuDW$n8UP<05liR;>;jA!FG`-6FB@nu_`)L+
zYt!Q81T+c>{G2+l|3@f1iu@0u0A5bzx9GfPbIakKxv?7;ME_cq4WkQA@_xUON|G(l
zf^&)epsCwN5jsLVr$+_Qz^CY{*9Pr7-cfTI2PHVMwGM#C!Q>Dv4aH!D4UdLSYTJHo
zxPclWq4HOFAXau%^dr@jv~wMayZx1+0z6sH-{8A(Mb|?L!q&}(AIwi&ze!5pG0o>9
zU|P+Y#4nonHlO-d^R=#g?$;QZRf&dE`jXVcv<DR_$=a1?u`EFq)nDd99Z6>OPhEPZ
z&s^08;w{sdQS?_@oHTP*X1#5fH1=fT=JeKSk)tHj9T~Iv?AD6iFVS{S(IH{G>sDl=
zqyva{R@98ZMJ0euuHAw8o#H=o5nkPNeef{x9cG|*x$Eohgd}Zi@L?g92m09rRmDxG
zkH?zPH!00-lEE2iD34apl^I;5Ohr$mUVIII)j*VG(SHJ_kCX^XySyIF7+jqvN2EAO
zCBhG12p-#ciilrsZm7<}W&hF)m~Bej9Vd(a)j0l(X)lr_;#8W=KB;;K^xOKDg2fh}
zYon3J!6#y3R)DIe?C3mY!~JJfKGObrDU7hr@E;Z6mNfZXKXU(=H?Z&!oi^asjI{^U
zX0!08cCx?Z0+y&rm^0ht4%4<Zz%3>}XS0f<FE!b7%(hKEqVT&C_9uqr-|c<~FFUrx
z#w7~v{y(nXI<5(}4I5Tbxs_4@X;1-?R=QCU1QC#sW^~8sZKMi<w19wgNtZ~okt3wL
zVKBN!56SQHdEf8%+|T<5{J&khuJb&P^N4gJHt>T3bS)ND@D2oM?f#aCTKP;2mHRZ~
z;7kGSR*3OlI@ASIxz&ckfdZHDB6FbwXrYiM==1Ko>P9zsEi$N*7Y;kjPhUU79PZLg
z_t~ZDR;F)>qay|y=H)>i$zYXPi)P#tBc|lEDw9bCG@XJf6{}VNjPG;GBTkYM&bwXb
z^f3LJgz>K(z!!#YSbU{>{Zg0c+n_`YMLYccFV2~&iJww`kV!6br(z?Cz_BgVd;7_)
z{q>@c&tBhQLlCl^Al^I#7UIJipTh;gHe#UI+G6CE)}8aGKUXym4_@YJI;YX}nJnkY
z0%QgGG9XBl$OEa|9q$PJQz@MeibwA##sc?gU{1zz^Y+2Vy5o~t%Yo_(n3FBME~pfh
zr&VVdi3&N^XSHXA-b4VTRpY-0bH(e*MzbKwUokW7z3_T)B7nA&I_&Rs7LOgOgrkz_
z(`9?cG0Mb%s~<~@v;CXQi2#F~L$V`To>h3?h?{XgLA?zeIZ@9@=-#A4%pg5ttgfGS
z@3z3+N;Z{Cfp$BgX)oxoB79#ey4-weD5yIeD)f@`=-oH(lM96)xr9P12VCv8UfY^M
z!g#AO<{!w-gUE-d`WZv$^!3@B0Wgn=aINpmnkp@iQD;;qRRVR@Z!c~=7E2n7qh{Ki
z8CWtbCWdmbLN#eI+;R2WW}(6&%CCw<rJ{w+9B+n!&BHjH<MW@;AJ5q-FTF{<yYAB}
zUJL^!P7y1jhQ5`Ko|U^t1Z}(DARI`to@3vT|B6uHHecb307khZRglP52poA+uLfj>
z^LSb+nBFL|>ecGXhYHVe(kznzHkr5bfSi|zpgg8zQ(Bth6)tM=kmtMYg|!?q8{IR~
z+c-X)(Q&>T`J`0}mU$}L0W<-Tyfhd$mR<;#^(vx94Z!yQ#iAa#D4dZYx7Luay^6|n
zU!bZW)g|?tpNm$u7JpCW8H)wu3urJ8`#^j=u^`HuXGYGUYKo!6DtiIuVtdD2C9EX3
zN|vk<#MNa+QQ6y>!L2_~*(Z4p9;q9Ms$@Pd>0;s@iB`<M66wcsxb`U~mY8*I$y(Hf
zns7-QY<#U0W1cggFU-??1fDw;&6I<uaXtK;$K=6dv$0%oX4<$P^mLE|VXwSg(TOkP
z3!6*)zd)rQ6`#}N8)AA0x~)39*(OSZlf`#HK={3kuMMf7$bY}$1@kl1O|9QXI~!fR
zDc$M{M6{hm8uOoS4y2XENrjTEkI`X%<j&}zkp)p>+hd6YOnfL%N_zR9ybJDcII!vp
zdK6Z;WG?QGTzvGX7a!Z`un>VI59(m;f)>SC<#^|Az5VzG{+!uUSkm8~D~~lN-K|BL
z8q)1vd~1RfEO%gM&-+ccc+7tM30-Z#Uk<b_cYNlh52~(RXSZj?c}$&RuLszsCQ3!&
z=_J8kn(JTJBC5L>d-)!4JH-Y@kY>$las|J&x}53!*V*FaB+xR^Vo8h1UgDu0FF}rK
zGt32D;6kd2(Oepxdx!#9NJB+xre++60qw$;`Kd=zU1B?Y%}+5=WpVfxSyT<&zVDJ$
zuE<9%i#o!fWZ<?^?7r~59Rn8IcyhYU16t1u<MXT8zseO<$Di;H{ub*gIlC)Saeu{~
zIku567R*Y=&mrL}J8dK-OXTQ{ka1Lq*$uaWVc;@&H&euCNucL}3b*N(Fu|dxI8vUo
ziwEGPa&wq(=L5reS$BZrts;Jb@a>x8c^kl%>3`5^%7U=jt=OI_{@O%2C|=qj=nbX-
zQ&L<pEyS|Xh$J+fB!nqqw&MEh_#AG);85dEY2>u}HbIbi@QeJPoeS!p*xXETMvPZW
zzESZFo^uS$d?YNcaVj+N6LH>n?%zRZwj!0Er?U5$1)9Ixo%qFn<{?@f%7OH%1p8WV
ztu0710>b68!fkj)nJ0S9!hi8l?r8_F^tZ2EE?z=0PEr4Fc~4iYuACTw58*zq{4MZC
zic9r32R_C|w@i_u@F==HQb0iA*T6Z{fIJ#Wd35E*nrR?%Mr^Zv!{5^;d}TOD&+vR^
zW%6kO@}UF$Ufm=Nms7h}SJ4bwox+%~YR?*<sw?6$Pu4R^*<U%fhF5ypm0S-4sBLw5
zUR2)`4Hez<E{p5&aN85J^RWHT?IIf?2|<gk0m3GSJh}!hZOq(k{ijC*JJPE-m5Ge)
z#f)c%DZ;=F=}kz&LK~YM#=Zj?iDi`=S-l;fJLqA*4Vo*7ED=NYPW6z8s#K?&VQ@`c
z5{B|*l@JDetK?t1a*&h=n*F>vt3zPw-Y`H*OXq|i;#((}<oKAK0c09pTm1==QY+p!
zOi()4*u#Iac2%9L+I~2YPowg%$|!jicJ5;xo$;JK#sGTk6?({18uk=d>Cby>KU<)0
zLr1_@%eoB8n5cfny#KiSo>Lx?g{#GHOEYj`k}dm%p)C<jvork<T%55(R2n!!u(ohq
zKuBAj$G@eO^BDR&D{>P2_twmr%F_xgXY4<pRVMxiWJPP%mMB+OLExUNso0LDhkbXR
zp>(L{W)iSlZe(pS+b!=T>J;suB`$Lb+Ykqmlq6(exq!4_{e_J_KIAG!%JQ-!Fbr@p
z&tlgBOU-M|_32H{EuCgA9gUojtyOcd1MsyidX<VarE-*Aj~wOL-}K~r*!wnalCN!t
zN2g8|2^-imIS^IhT(DiTd*bFng*D&<$p#P6NI_^6DGf%+1l0!qs{KWO2=|75GZ2d|
zp)l?!h^5H&FX=HL-J`xYCs-JVLeehGNTN6Xp)PDv1yK6bj-g`u8@0hu_ZO5|x-=&v
z7vIAw+tDxBkPp~A3%ESYcUk3Z%U?H()tKEilu~d09Z~t7Dz`-<%kje&tk)O25M3N4
zEKZkLr(i7}_<Bku>dW?c_wUHI{FicG*d8~06vBC6HMwdocv*HqD<#Ypt;h;p-~Wr3
zrP5-|#qn%fYutz$OvHaH$CaJC=`9&dwXGXIoP~>>@oHi7Mv86@eme)=TVE}|yq#m9
z-~E8yGQ_z^_wB6f`&lvyu8e+L8vb%L9DC`rOI&k#%8#-G<A$e-!9<^+xvbLddQBhL
z+}#x@rBTjzgNlHR#RWN@f_^D$_F+wWhdeILF30V|8EIFVFpX!4pczl)t#_(ltd0a6
zreA4W`E(>VXsu_WiCq5(!~_T*7K{SCh8+Q-v4nYSNNF~)PL}esCs7Cd1uft~`E*lt
zqrlcFi;hpU`7y^Q*wePIFf2*<g0sbCF1LWt>gbkM%>K7QzpxltTAlr_qq*D49#MC%
zaFOm5Pl(PMUlaH5VRE}^$^(L@J>pu&Xp1I`-Oqc*G$@|kuD=~PS~92XeEygzV`dk1
zQ#lH?N~jKY7GvyC=j-v>PvKOd(L}L9{yT@gdcBuJ+Ks>qQ*)BQGzCzfvVhPz;uVt_
z=W7{~o%h=M--J%@0aI_0=rMc^&?w!J6O+e;Y4DDnKKt(lxFR(dF$s7(9cxBtI^BxT
z8R5Pd=||{e3IL6Rp4V{7;~p)DM#hnu!^d)9cMX&cP*oE}3wdUMgIrTFpCsm_zH%t#
z{(%&G&f}4MZeLgBo6p&&)%Av2w3%iwdYJ7iNm|@JZ_vaiMQoJT@eIfhD0+RNj&;Gu
z$D1Re6MV?|f4EGA6Dk8>H-+VWweKp0&kOdTnCs?)m4^})?&T|)>jp-@-`M0wk+XBz
zU~X6*cn6F<%Yg;%lDSVpcE737n`$WTX$<~4QqPW86)J=gl7v5fh8jQG{()V3wWs^Z
zv^rN*z=9++?-Kbn=RT8_lxnj^8bc(%0ONz4t5=;p?gTeK!Pqt5hqz(G1TEnsG`gjI
zZS*qa=UK#3S7HR-<FrDSd{fa>{N3roe;!A{@XaW3w*RxX5H{<WPh@NDRUB22pfk9f
z+_|01LSgkoW%e?p9mf-oG8}5Lrd`gmBx1*-5?2u3YX)Q8>FfVv#<TYJ=`wNgxQy-g
z6`g^@c6yAgVxHz>D-D3=NRl)!hi?QO@K9q^WRM+$7Gkk@u<c8lbZ$x6Z%*1bCu>Ww
zpV(nUx-PFI{E{hp&k8(syp@bbZhnr}A-MmftFn<}BTQR%E9W}x9~_nPd>6;?%S2y_
zk{s^H{KhY>Or?Xx%K`$Z?}yJIsOL6#S-Uu~OP+rDuBkpHZey9Si!dE1yi8*+fxj{r
zL5?oC{Dft#YFn%Fg^0zMP*6TGKYhRSnPY&?mMsXsKHw7dqAoy1H-Ue6XR=vNB1~9B
zY>sh`{WAz<7|ee2u`=o=e9dUok+_eLtWBR~u<Klkd|c|dT802+mDuh3y8S^%j0-4^
zV0`gdS>cc3>9Q5d&2c(ZGDRVCJw&bT9%uFBE!%o}dTH-+%}*d#@AyIDq^DFUp6(67
zMxu#?co`ayMhe|WH#(5~DZ)MNd(KP$%NX-``N<z##qizv-tpX-hGpW{3`)E_l(v+w
z6O@;Q{)wneqTUO=1H2~j>gcJZVb(*QTFJw-XH`IUl1)6rXp_J0PIe&TI%7ABr^OKB
zQo#g%sjse?8<j>ipH<3yr>y_8&I6*IcDvPu0HNZeX{_y1tFBI@uI_JnAoNOvl=kxI
zoJAh9REH5m6XYSY?E!HV(z;|-@AoSP>FV$xUNK=yX=$FD8pFV19zb<&WCIw4rl^PH
zwf1Y(!In6V&j=3S5j}mfe!F%SjMXo1>QT>bNBvdhf&Xqd!$2P@_%z$Y<6&wf;Je5n
zA4oBmer`K66SDmf3QaTLV`=-pUwW3lOWTT5%MPVCj1YHAfKuds{=H@XjLL8j4TVkO
z|Mfz0@<E)89b^o}83m(5M%pVtl-u?m-3vZ)A+rVU7vB4F5~i?TuR6R#q}-?8TY$9$
z(t%QcRsUv|BnsfBe<KoyavJH9wcdw)MpzC)`FI0CgYWpig;#wv=|{xflH(hu@Q*O7
zj4EwznN8a#eMOuNq6d9nEv?AwP6=o+i+3RTuwBXRt4SWk?3vFnlQ~q5AI3%+K$h;<
z0+DEi`HfKhw7lc8iq3}4lT6L^>mRuqnaVzo()(>gbep`Zi)!V$i|XGC*V*BVv<V`Q
zJrcl^!%%8hKH2u?+5%euRoArnR2g0cp{w(Z`B_h>GIs*%?#8gm8!d-2%nn%3Wf$hg
z>!CMpC(ddc?te4+RQ{Zm3+dV>a@xxvG)O4266z4;DO=UspTj;E8nO!>;-j7851t=N
zzV(NExlU`{)pcalEk$Q4qZ$iQdX?i(sM)k*LBds^%e$PWV85_w1-?MS>*Xm=`sE`G
z#jJPha&VT;l77}RiAjC{61U;QwZwTO4oIfR?hB|kddxl%Q@E4cN`=wSX~G<v_77N2
z5mIck@<!&<!!cp3I5uO57hl`qnx>dM<o5r*^P_%oE|#WD+qYgbl(Eb|M0wTwM-tJR
zi@q7?Kz8peI%X8m5aV8-cMH@_Z8264z@REcPpYy*<uSibP5VyAKc)mVfuH6zxm}kn
zCc=b*VA_I&RKtMa<wCzho-jq;RLZ9@zWNfXKkmonvf{FD65K75Hc2%oReJpvPGjFX
zuP3DBYfTD0p$0$vO!!7h<qpk6yr(XpYs~nOKyUM-R#mQ{k>u2BfQvm&;vI(-><v9b
ztl6c|(qXQFJW+NJbI&bOTB{Fn6oS!@SH1@Q@CKHUx-!&<>JlIE?_6#?Lpi%jr!*qF
zZ<-Vvg&xWNycjRuzWGr@hF}s)U7w-iR8agy6~yw+MdH13Dgrz832S~}%Q$I-qEJXn
zIG~qS)e|Zbb^vjSHRXPu=Q^-*&CTn)OP>=+hr4#c?7crL>@OS>73b>V)xH3mS@B`K
z|Co(CUT=)}-{!O*!oC}nNv`_7Ytf*vHE$RWIT{TCWKk|eU3GDMKIS2BfQB%cPsvn|
zEBKm$Jf7jIBE+>X@3oRZU80^kWKwNpBUF0RmKkQ<Th$QVy5NCKs#TnU;fLujYqAT!
zM}FgTj)sbq+Yl9g#P&!us|GT)XX{tT#>+?V<l73h0YMM!CKIKgW~|i@FFDPYC))=z
zDHDy04%gxoLsaRm1%@*pt$iUOBMl!99fA_kffe~gSt%Q2@>8|dZkE?H#H3YZq*6G9
zxFm=Oja;Z)C3@K@6&PYU^H4Im&X#O##@JM`y+Wd*`rTh~)eVv;@MffHJcB9&&c^HJ
z6|ql1&vuXA<y{>e^@hvZUd*EuU5#lC)!ZU01mf=2HxbbMAS1#mE2eS2En^xP-fod<
zUodA>;>98zC~MewDCW$N54FLE`x{HCGlS}Bvyj=#h@1If@U-^6(l+ZE-R|&=EPa>k
zTiNbt7m=(fYq(D1liMJO3nM*~WqMmnOU|3;^P0J7o`i8@SWjZCkgttr&3$Cj6r>nt
z@~@`Hi~Oij`xY~=X4l^Eyti9(<+dI(Ch{<SrYUGq8^hGQb5u*%VJ|(=cokCKq#m4y
znNe4F-&UaWCQcqfMq;*{j9$DY;r01ZKsKZ96xfkR&WLgaQTF)`BMVV)3t`58B=^(G
zit>{2?T$XdnDEm8MFF(~tXRKphb2YE(NMUkx6wo_fYkyWnD3jw7yQ;O;_QTPZd39N
zX4(VHW0XuWyQ`7{_SCsTj3hvKi=-sdps}HgW{|l*u$Pk0RU1Q*|LV&*$KA<5CaAP|
zJR{7j45aj-Lx|!#__Ya4UFq!8^tzHR7VXVd{i@5e0AYiQ|DG#bi(45Z-|E$5<#9m!
zILH|CS@z0W{i&Hwwi;9`I4_D?9r`FGm1wZosE{H&64t{`*9GRS=;WeEi@<>*ON>A1
zlN8Z9%Yjc)WlLL@0~1Dv1_7Iwu#M;F8jR8#429vn`=HOE#YC|1j`97EslgRP*6MlU
zwxoQvqSnby(5jrScafGSy$zq2r5is|CLVaoTdS0XQ6fYuuKfM(Pqk44OY02-p3+st
zUVy*X`-iW5*Re2jiotjMG0Vyycd?V-?z6rpTH|-eVyOha?N{u9w)N=smg`n>uiSOM
zFB6n{Ufagqf^@7YR1IG?gErhg$+coD*G(#j>pEq^w?Pb8tN_1dFt+t7!~|ZtXuxOM
zhcsg&8i)!>7VZ~P#zoz3>B!PhnIJ$TT>@YmWn48pHW$CJZhadQJKw!~pFaxri1sbq
z9E?A=ar*d1o^7YT)cx1PXihWdZu{@X(@q`8AV7Xt3=5fQqz>8*7oSI9cH?5huf<g7
z0uG;o>hO>1F<&NzUC~*+Ysl*iyI)0o8%gf@N@^_FY|H7SziCzvPK|(xG_OiV%-S9I
zNL!XK`0SOSE`@_Ta6aFKr)U#*dAxh&C3z|9|2goiBa(AHI78wfK$AQ88&gBr&zy6=
z5b5ouK=gn25L%N-|Jg%WuiaiTi6aMKx75D^kUv1L@Dd!2L-s42KfbB0+CHuq8_2|8
zwhkeq$9L+JLtlIN%A*U=G?0}mLMWC-&m-fZzKV8yfAI1$xj_8iHIVZWbRHqjz$ACz
zF6!wyAvIFg<!K|^kpH7K^g1?7+fr*wgUI<j_Dbb7pFcm-*m!3X_)+VC{YIuz{g?&=
z*fDwg&|g*-sX@AYzjq#MQS8cHkC@&Ps+;Ezek5m=#Blh^PU@HZhC#W}RN|xt>3JOp
zz5td)WgR<h>7UD2E0+!{yv!x)y3`dD#EL;#4*%IiDI_kl5YM<!5ioDibM!URE_9;#
zxR<<Y17DC8sH-wZVX4>J{RmQ;L$3SL?uH@9eYX?SN;Vv0rcA_tsHJ;!EP#ywXkw{E
zVs^CN3VbNThUSNoEG1GmQsNd7>Q!T5o|qecO~PtFVwY`y#EBKFaGOwtZmaY>4Djsh
z0^)^7^$~&l*=TF+bwE<`<p0+LRNqVM5J%FMv=pbZTd^0l-04k{QFdAWE>(P<;UPJE
zVF>Q~96i-@w5AV;^BSCZe5v0J+BHTo|EgltQ3vbf;`GK@=N-t2#xCznEn{GDbp=O`
zvi_u3hIWCK&qR36a#1M|u2Z-<T^3)dC#RibUH2!ED_R|)$JcS2w_FQ5s|sNY8Qud!
z)Am<Pl?e&gROL^x_N|v05ww_Gdz%3Pq?wkK!^_KzA^gaYqI(}7<ey}HKJ0kcOA|MN
z_e7QYK$HIlcwXx9p%zx}Um_k#(hWD1x`L}nmHTt52l_RQEYsTJ+YvuFg6*HrhDdm0
zP^&cbR|&Q)Nf$gJ-yxLwuMjq+&skfqV$x63kE<P5zx;OYFWCI29?;vk`!)VDwly-<
z#aoXzJ@*3I>y}nCKTdU_AA3cjfpditT_OxwKJm4)ZP{SUzOAC0r5p*Iqs!2i4h8*~
zTXovub0P!CHVw$@mbyh&Il;qxJZNR_8aBpOMhSz{+c%*3*I^i1_R#1%0aGueA0Fst
zT6JZW&v!vp03IoWJ8B(@P+wpJ*k5xK>^M_yN%-UCaOles#=au*WkA*(KHGIX5cPP@
zB>sUPReYheyz@9DVb^q;VC;nPqNJW!5=4pvb_Q-*%$EWw?c04HVr;Bz5^ztyiAwQn
z{@coRO$I}Cr{k9(9=L6&Ghm$2w<S0vJWlE2i=-bh&b4Kpna=e=iM>1O``uldiT%>c
z9gZgki3XL&QaZFsG1x5b5O5PD_t_Pr<Ns<KOyC_=FFl63S9e2lh#dLLL=1Hxxlyk1
z;uBAI^^NZt5y#ih>}2OGwsQ9vpOy7~Xu3yV7H}tk9QF-hs-;A1U{oB4y?vl6+fG$(
z`>1Lf$Ne$+Q!Kx)YhUnwNuUit@V<fQhbRD=mhE2VW@Qbytt0YwWK-jyKKsx|2-wJx
zMbM%fx5;RT!JEJ}^M`&V(uk7_!-K3i-LY@<`XZ4iI);iG4*P7jdxlR@8}e|7BCQ7~
zuXRbd>3<!`@l8AI`#5PEx9ja-7vdkeGRn|bL}jpz<d^v4-olTPLjRo(AovG$Th3VV
zJ}E1O>+sKj{OKfJ=K1v>{e-?5J6h=ArTZ_jR)%GOmJ$?=tV&lO@6r5P-~Oj$-fgl!
zpM)6NhK-n9>k>wq?3esf!ALIIW&u6q$y>?-%EO36z@!=9nXeGp-;CmpCdSpWzA|ia
zFSva1komkQD}jVgBE*8j9Z*w12+QkyV(7XF3TY1?C;?=5*!Z0O(+XF8z$FIsR=~&@
z7<D2+=08wvOotQLXVXFGXGo0uHslu(hT4#YfdU(eYiX~T>!f$C7``fBCYA*wg6OKz
z!Ql8u2n;OKf0SOUBUGMsXvFQ`*{w0=N1)ZUPQ7twP%Ar3t2{22j-ZkY0h2ido9(dO
z+PLmjQ$6=J;?&6G>dXVK`G!~nzT;)}u|X80GHLc27h-G*LzdN}pBkF=7J#9`{{}+~
zSg1Vxo{dceCft+rSsYxeJIwgil|v}WjC+h}Bf(u~{4KutN2(5~^mpxvR1ct9aS2-7
zil=@xb%SG<S8!gkV#%|Y$Tk)792RB91GwERxBxK8+OZXEIL`;wl@v-|7D%S3v$5QJ
z=VQ6^;=x_?Em?z$?>FRjEm#0rL3@M>pF1uceRI%xfmq}EyWthZrU?IuRpJL;Jd|Ar
zw`+S?&>M;rf~GPIZr=>0-nTp{=bf~C6u$PQhpzPGo_&Ye!{M8maG-E-fbU+%{BeSf
z_uFqwmx%SME5hGAoAkV#xQJ`Tr;u#q?fmMcOKQT!>aSUYxQl8`1=bpMqF%L*=gb1G
zG8}d-W56Ew1ISHF()%2|Z0AResbH%DQWn#qkyhQ-fy(uB4pr-D6Ehp5M`od26JKv(
ziNnNKf{I(GX2%CnkUgJgg3|S;QNkk%82`l?8j1Z|UodXm2}wlRo(5z4f_slDyjo@e
zHTgMAxi@}-)z7vm!2_L0+lTy9BG1$jq71#$!5bYwCHdVYHIWvS>)wBt>yl53=9!uj
zvJ@*)kZ(`-UdsI+*!mcEydT-ogbj)`#v$RMcySVFHX%F++q%?UZHmaa92gG)M^v3!
zQ+WoYh-9x*GYK=HhqZxXItEbZ?(MiH7x<}syvxuA-K7@iS;Y(e!kAmM=A&~~4=i5r
zUS*7;c43LL`FIf6`!l;LNPHrJFzlLAYr33HsqVvmc_bGDf0sqe{S2h_9HOUM$D>sW
zX|^l3WiZO~pRVM9{2Xq>*wL3k2q&)#Vej2hLn&rc1cs_{A=EA4>RbqNL}L*;;4QgJ
zHdz!E6))ZIXgUcOkNwT@)HvmRc@JSj9dL>sp}bDATS<}MhT5Q2cTC?3qeFc9X&aZi
z;mjf@UZ~9HdE+JbGYM+bRCm)ZuZmT77wZn}vQn1?W;otZ9W|0U)|xoBM$<}B=cQHx
zt`L}H`=?TJC@}PJ`9b7D@lOO1^w8cP0h8Tx;O$0oV-=fGQ<K1A+M_RHpu%deTThZD
zOMH>>RnGJcS|`u;_rFd@)GxbusM+GUI?AEJ`=}&+fy2)-TmS#!VMXS<umN-3LFfQe
z(}#b>8h<Ec(;<?eb2%SX<L>``<FCEY-u|UP_}jnQtecX|Xmw`4Xqnlm!KAgT7_)%5
z7PwnQ#MDs|)iMxI*mQx-+*}8$Wqn<Ld?&+R%o;W%it?`Oy&&jebKYRh;(os>U9rA)
z<C23e6icl9B-rqV9dUY=XjnR5obF6NEuFkv?&!`rc=LE3+ph#Ba=>-t*HcH=a$Uqs
z9@Weo9~;d6VpS)`y`?CD%u9;|UtZMaaD#!;Et6FEKF?HXhY}o8yUR?CVF5C(h}{gs
z<j`HUQbnh3<B_So6IvB^IiT4EqZJWvN%0tRv)1}Y{ND=+IV-!VXVuNfczNF3ac(mK
zrBcq6=`M}E4Q&a)>)Q6t1$(;-V%W&cuC8`}v`bU}N9zN9P_2D3EA2C>kfGmT5ew>6
zIHHWf@XY8KgBa2QYXxgNIdK>Frq%cel?7Q9_;NU3MC2{rWWGQWv&GtvPYj5B8m9wa
z)Ja>I^2ea^`u2T*(%S|ex0S>>6UM@8_OEsJ-0KJF6caVM8#ZGkfPG<PdRQ;^P=)ia
znv{(&kS)+jwoEun20jEtXjL2ik<`%H^z8iU{R~Mrb5ENt+Y9@g$ttKxZu@|WOMQm|
z((uPnx=cia_)edSTLu7aQ`DaH|2{2DeziHddfWaAm7vRI>=hw4nn|Ub#nw?{_i4o^
z11ve2>fnI!6<*FUjtG%9QTfKdz+ML@#o?<2T;i~@-*-#GC++xg!2<VE<aX^2X5-CI
z55%%ggD_e6AI_4%$tuDcF71yX?<xHo!PLfMt0l$EVRZ-VV-a=`5yDnDl&OJJ6OB1Q
z>3!MVhN$k}=SP`cD-pEf3v6c$mFR|kUF5$f#rz`hJL!;OZQ>(OZYr9qR{-bqI^X5Y
z=gbMtV=f2hjy=6Dg%_E`3;}SCiKe#Bs%Ylw7P^KdcL?rrKU?-mw)P>dh{9g&O4!sy
z6W|CY5v^)%41}L|Aaho~0yI?oZAm|Wrl&-RoDJM50JfWHxcHE4u7BTIa1ZFQ=YN#{
z*)K~t<VS!Y5{&%hdttwSUmK>Ylf<FO1g)ft+z~7jr2t3p$S=^U(PypN%+}pCfh$Pw
zH<DSwJ@v(sZGT#t><o<W1EhR-2V5H{i6rYqoW%G?WE}bXZaOMK<W0|sdUdh{@Yr$L
zseKdZY>n%?Zdz<aQIe5Hg1UBj>G&gIA9myCEf8b^aZ_VZ*&E}Ul)8MbwEm1UnC8|b
z+!P_oP};+Tb!&*H3<Pjj_;-ug9=+`z#q-<g5kFv{T1-$*anEdBlk=(GVsS@?+`p#~
zj^{spB!sICwxDiBmi4EH=~%$Q-n14i_j>$ksgXMtl^Fm1u>|q(J@{pNE5Ah6U&K+P
zV=rb2sCy4JVYVj1Hv(X`QDc08zMV7z3Fv@Xp491*Z}c^e0D<U#*p~XP_CSp%;~Mr(
zwB*;WeLI%4Ee&aFo>9$Mq4)O%zW|FQJ--NTK8vy4-9+~|;9hKuNsdOj#D0^9lzDb+
z>I#UQnZ8co+^6Y?pW<+3OYRHVSfc9TDVNa`K**;E7qRdL{-~#8LAaMHd>@NDa_gDW
z0L|O%zneD>ZPmy<IXmjhR7rX_4NT#JZB`&}5`anGK!>pz7JWNY9g$cCE(m|~j>Bu5
z5Ac1Ofm1-YhKM?Dp}+@j7aV^rw=wwGa&Qo(1LOgp5$0PLHQ9EC$zMuhn74_g<WKaI
zT6D}UHMj2keB&ZDfDF2Y+8lyK1Xuh5jZ0e1r@r5`j8#!hNV99W+mQ1R-UM0hsrb;?
z_0LUDlz(-<a(Ym;xwrPxUe<F(De1jVRelY2-m;Poj5HXEHh2$>8JunTZ7)I}_0}>}
zxqD;x2?n8V+r9+YQCqo0@1wjb3J*sFV_9enf}EFCga$izfG4-EjOl29wd7L|-{Uo(
z3UFw0po8XJe~N0{+U30OapUfUVa+HB2_au%bwvbVZ+G>-lJ;l~sR$m-wmG=@6(Vg(
zv~bTEsP8Xg6Hiwes_9bjwhEXTwYnq$q3FS7TtKA&GY{$n`Hq_^w>5JJs^CC%`3z7G
zPs)#tQvpTih0#}(^&(=(mkSpQrcI>CzYe7S4SYm_aQ{yx{3TQE3gC`zo4i*%8VkaY
z#JP>vIw_U`4}5-RG|~@vtUV)hMG}$<r2fup+Ul%vTgqXoJSg486;mM-d$4X~uA-ia
zklEur2nzUI4anaeZKMuYFT!3PJ9UKb55p7pg>UZ2I_ks145S5UylwgmfSm)Aeclse
z4xa|sjCZV}qaMzW?7r(f23)owR~9LFT)6<$n-scEQo?H^cX@j@xMC{Uo#@x2iea%+
z#u7v^C&$@5J>>1}M9RN_ymu%p#KHU&01>FGl4Nvzk-ViZ*MGsHSBtG0bdzQuykJrY
z@f~Jlv?TX~8EgdX)Q%ns<qYm@+l7wZrI)$9T~2jUbk3#1dbu^Pa9~XdX}SuLU`={!
z{6MJxruvm%w+=c3fL-hvn1ESoJp%fkgoBAC=ROtt=elr*l}~pY;+hZK&p;@JcvM_s
z+p_)Ur%F~t)zjFx^_i;Trk8Tv>KzUT)8@NxAq4YfRyzR!anYqH>v=?-nFzF2;jeCh
ze}XR_jGy%XI-S{n6!7C#ru&PZ{zSyS0j^Pil$*y}a*4ZVZO!;QO%x@bfNg!>O@@)~
zDk8s!){9lw^D)4G@Yx_QKq>@OMUSMvjulEBSJw-7P!zm9(!d>bdBHW4_KZ{8U&V5?
zeKyKttYJAH(f@m_Q!$Z4aTtEKB+VQlqiBK3my;{|!>lRh3FudBDoqNi{LOTwLK4>O
zW<OT8`L&OE^j2vtoM~}!0HI$HGJ^9D?KtRd`x9?UFg{(sy|B95k~Ba~&)Wd!GX!#V
zP@Z4L{OCFfFleNul7!dwW%d0OjE->td9U=cm&H@Hgblf@tA++YVq<O0dBb>j{PC1*
zlP?Aw5FUb5E1s%Ggbyu=He*r}y(ADisvwFK`k|n%YV+aQQKj)x@DOs<bgu?GQ_*ID
z&Q5`8nV|fMzjrGtepkV~Pd6CaJyIuaNCBRfjqj~p#Bw1V|CMSS3k2C_A-#cW@8W-Y
z=$BMJ3in#>X`9QaN|co>wNe5mS#F+9iCT-gq8y4@2GexW5h)-H>|7^R(c<F^gMtzc
z=QVQQ|9YmlNJK;qY4C1YW=B=EznF2DZ3C_IHmMXw9mIv}wOLYt&41Oo+mrPNMrg$r
zo(o)rA<<LR+HK99ADaR`iU-?eSi)67?$J(CK`n~BB|!ZCJ#4UX5F9_uHx)$#xy%Ry
zH?nnSUUoQlLhQ8odn6E8u9)_Da}H}xc?TVK_k7|u0%Oj0K9(fW8o$?)^f|T#;(=gQ
z;m%GWaw=U&5Dy(8i`99kKDad)#{B~}G_)f|u#m}*dy|;IuQA9>RnU(`o^{fAZN202
z(SF@d<vUCRaqB5=qWDmFEt#8G>3~Z3eHvIoMn8&(R47S-b+6eIS$O`IKj4W(nbAUT
zli>cY!ijN5tY8351pWxWh~&mH*0%d)0ObGsi{ZNAuaL)NDGwRPDqKl<&-Vzwp$=?H
zp_XIb+bhOcB^5YdMlsF5eQ(W}#&_=Z(aE>m>#2Y7Q4Z{(UFbTGMu|#}q=0swF@=6p
z#k3B|d=+xA;AFb-#({WnlbfMA#NpCoczR)wm2!veaa=xTF#;xfiZt*$&;!N=AlxH6
zU!Ic!A}Z6$^Hs+`18(B%*s4&e<2!7VNGCb!T>Fao9LOkvbBw%gjN6gH1CzGLuGSm&
z-R!X_0q7?O%Z%MTB-4F@%vgX51I{k6RyszO`|K>lyzM2ytwiBH$AX6p_ms08X`!7g
zIHAv^_Z3#P2)SKP!|KEh**V_b%EO%R4=QYQf9I4~)@S*}ULJkTR*Mza#y9r$xVY(V
zW5A@`<DCp%Uf9e$dzM#GHQ0itjvB+X;5SI0>G+W_*e=UoB)B?=_akUUEluk}G_fOP
z0Lccnbcj$hX=eIzJg{u7_N<Hxk-!NRBvy@#zkR)`wiP0S40(J#vht><QDJ%3BSY>2
z-&}=*r%>DW@DypC$xT+XV(d%;McY_<mQY^^U7|3z{l)N+bCGM6oo5XO_iv((63dLk
zgS%_V1{FjlN$jH>q*ck&V-NCcbI$K_B%JEk9$v-#z<P_Ea8=!m<7Yk^y<M`l4XZf;
z-h8)83lw98hT2`VYmY`5X4Tc(#yW3={X!CujpEO*(V!CqDa`$zo$7N*&Fz)^2Xe@*
z$<XHJ9Gvs9K#j}C_Fn6%eESS_E8h0hY>G-yg?9>ALj&FSR<f`+lje;rYX`XcP2jE~
zk74+-`MC#9flF$or@q{8&U+d2C5M9QNfyG!IIbc@`-js#w&_mP%uMXxpjw8H)!2&b
zhwcrSyYy87ZT&^Y%ih-N=Jjf>xfQp!zVs^xeIx#W?V+_>{X(w)Q08jJQB5xAa}VkM
zt%~hLR$A+a%u9J@rz3*}k}!Mht}8!^ehHyIGoIvHA@EUghUW;i%B#btzE$Auu8<ZL
zE5O<2jTRU|p3fY5bR@nJ8AB>`B+f^NRj<qp@A$AFYDTO7O{txG{h_k==DjHV?vyX!
zzvpSj>am?=L57VHL(-xGJCZ5FWyH`uLTQ@jsdmy~3F|36PL>;8pfe$!m3~$ogf);(
z64sfU-dk@|aa%f#83a<cd{vQ8ru?dO@|aLGQ(6Cx##0*-S%yoLZz!84f0UmRz}JBe
zh@@xhM02ylVwso^H55b*b)KrS^LTdgDJN!^Cdlnb@&b1E&uLfyRd7Pnj!(~yL)YF<
zW8f{*Ar*MTVGDgfMHe^~?bH1==&LE!rIo1ywp%U*%&?)JoyRwE;S=OnA%TXzYdv8S
za=p-4sseMX2!Z)+8BaFaqwBw}9H`yYTGhWow-uR2Ab4}8?phIb-8>l0_eOr1#`RL?
z%!;p6T?9-kbtp=&CHW)NXUFZbuR^HeOGDgeHa`uN8Ld{jE%V<iPplnqq3fDuEwl8o
zWZ`8!j1pGT;FX#<MyZP4C=~yrP`exk_*8}LhkinhJO5RTHIlvLYfMD7SDA4S$lnON
zo${u#<VE3Hb>Tj-1?(?=1#JdPsc2FySXzyZijt0U@>3ucJ3wbcDxr1PFmG|n#DA9_
z3aT#F`$52kl&msok)LlVI^?6E?ta&~BAFL2yi{`eWl1t<4+|@R>*NIj`whr5C)LdN
zBYL?2)M$6{#XIg`d%Hq_t(E73@@|*wqc+bIDfP7X!_p3Iy<)Vumn;zqyl8PstX(pA
zH??GYdf}mC$KA(CIW5oHyt1A|L_Psha>q&-Jsk#->37ib3me+E^JoW#4kGk#EBshm
zI#C*BA^TCy{pXFX@I|1e2aKN7y8StuN8YD9Y-c5N+i%E>^s26|T`fcoM!kJmkyc!{
zy<TgZ^W*A$d0u{nD<56o$z%We(7rT#|Mec<EzF8Oo8>=O{Xbf^)hy$YI^VDTOnm-2
z$&r3m$G_FPSu)ObA&i9$1<y~o%e3ymvvDWW@bu~_kxDme^tZuR6z6x?<bKpsUYZof
zvW(a3j^4Pfy)N!7n>Ce{@F>C2VCV~-pB6CV70$jys+2fr$LSySw9D}FC%|$0bdd1B
z{Zpe{nu+kQ?$4UnP#VWa5^GdeW`tsi_)1|7ybw*coZPu7a(pN1N{Lh^EHA5W|HRly
z&s#O*Yo&nUvuW9q0jCWb3^4)ZAXkQt$`y7o79foZjvRd&{BSJ9s8iM@4TbYIigsM2
z6=(bays355A~$i7w=|;OR4n$DdN#?L$Wqx`F&|@gTfJUE6d>y^1Wr_fHCCrv8Rtvo
zrNMW#`1W3`>_4A=R%Vviv-nQapj?0D5gRpz>t&a;%cnX=;*t?YYUzH~l6SWhN7N)f
zR%Jr^NTT~BUK|!f&F@*IQ)4PvO8EJ(#MtR#ae;8=I_xc2|Mc!poTr@HP*BKxLB*ab
z&hbt-7m_4AB@v6ov6G4V?qHry7a5zy(6Vo{Xerb(85%K@hmZRU+ss}-mz6y*6|{-4
z+VY90vNnr@rL$*=yvxrcraw*K85<A^usVHK*{<Oar>%?PXT-XFbs?k4+9M5+4#iNL
z?e{n;7M%E4cfJIa@eQUzgLig=@xLc=g^u-3JHZTJR@3+&o-$J@0}^I(E3;X*Vc)5T
zD2r--zC%7jk2n}QakmmJrM}_E@2R_iFCX5rw|}A@<oICBa@cbWYCTE<CqZ-hj1f6d
z+jBZRU5y?-U?jI<$=J^sP!UNm>$stZSKd@IT1hj#lgW-xEn%FC?4<3u*v@t?IvBPm
zIblxF`_;!)yW<6kTFeUT`D_BWw2p$Y+k4LPh+2>r_qLy}dKQYq_PFEO&x9Phs*RHN
zdjP?)SQw=)8oImuZf~;E&b}H!M^#!ev%#aP(5V3rk~@3mil!_3xqlzpvKh~o&l-$L
z`dy2isb4f`-|^Ahn^(3dzblB85vdDFp-HA~ovl_2h6)bIYv4Txnr;+neEi|*#!mRI
z|Lgoe9v*Gjuxhl#X}%nDo@xl$A%l$PrTiuP{w6iuvohlX=E_!4l&D7C1}JM4b)wNI
z_yl&D0dqrwm7Y6iIbN6$X}-jfw>;|-y?7%UN6#{4JCS}vA})%``!z})G8uL@v4ZH>
z&)_`)*X4a-5})Yp=Ka0;gMXKFS*xck<@x`K=G$-HXUi}DHCfzNx78etuN8(2>wgK*
z3Op>9%5<=fs;WGFQf%c=#4Bb1n|Gk{urQjr!mHVsw0$Fo$s&xP(5FAg*T`ElR9c3C
z@>A7Y7_$P^0YBA~0~It44cmG5FB!`St!IPGlDBP-l|;7NXdpK7ahuRM`gFYb$Owwu
z0d{zE1i6V?a_mz*Ab|)^KiH%4Rk!}5Xc%u9fVcg!yWGEX|G6qZU756iG>2+PXAB7|
z$1RU<`cg`rMr>9NROh5B8F4-2Sh~dD!e}Ij#C)SwHsY7Fn-D|Rx2>*7dN4N?XhU=N
z<O%9+>rA@2a5rLBuzx|>YDt2-dQ;pZt0F_){iogw0#qM;pS3jqNvq>)Ho$`SQN$dA
z4dc^6<dV5fS-=>Tiz7>FNNnDbr-3<bN0V}mxWIOzuqlD!<DC->?l`|!F(s~qzzOpP
zGg6612a(VIFZ*GWR4VbHDL%6LboqDc`%u>gP1WgvpIYqn&SaaKXhrF-v=AT|jkwfJ
zrK}jGsv4%MFzN7Ah1vG!FqysXUl0RfBT-aIkoNchodqHX?S0tg<>Y#U)~#KA(=faB
zI_4x3f-VsOlFWNV;f_gR+0zX(BWVpGG6umMa*&=cmmUb|uRnXZjnRsF;g(+(v)sHs
zKSD_B&ni~;H~5NSefE}pSebdp-b^66?3($@%!s&30c953VTnd+784TVmPv2{S#sS?
zA=rwZI<bD%z8^5~RF#LGYQ6llIzW}^$P?<a%5=Zt<d-G9?ye7U30tUMLf(`)dbE^X
zJ?~fjE7qblhr$s7cS$j-w>8&p#ZJFid>KNCBYOOm@{t0S0?q^7rCe?arNgDU1ld$j
zY@Mi86mE3fuyHdm8!Q($={vi<RJVBk?N+n0A_jnPCRKFI{0P&^t9YXu%=zyWprJD|
zsb&dp*A98LAJ0zIRdY1e4sjy3NuUlAxD&%izAU(dN00ZH19$Ip!bX>F@n6QEto-m<
z|BBrDz)h}Xgx&}aT_6eyt@gj`J2mQf^ye_r8aR0*9t<&Os%N&X4H%@so<Yc;q1qmn
z_`scC1x|fGOztbDtP<R`rrbWSD}FojA*L7?LJkijfG~JWT(N~Wtqt%KA`_0vN5_ul
z9tPE^oG?2HbL)n(Ff>tIiqmR`JYcNp`W(emp7Z<4E0qUJFCxewmpWOh{|E&8&HUn!
zJDE~?T)x<x+`Y?iP$Le7Z@D=2b-y9le>*K1=Qw<r$}#o^c_FFTKwooWnW`}E7qT6H
zVE!C0C%3ySx7Qoh)a1n);Ox@mwP$bvIBt&+4OV79iGwG-2V7SpLguuSgiS=fOLE@I
zUPG-1c-sstHPI~!ZkQ7giJ?PMTm!m`b18*|0=s*(rto>JBXvq6HnMIxziE8Pm8w6n
zYYBAR+-bV8{a{jXj`^;b@$(h3*qXRc%A#V)BGWFesk$DEX9GcvilpZbEnFIVzY2Ul
z|1yUoNcOiujx*#tjJ$b_K|nZ3TqiG9p}4%?@~oy#m5o5mYf+@HYYcmAI&#{yKl#rY
z9HXM+9ii_d=kW)E|5vRU7mK`3Bbu=Iy`gWI?-!Ft#Mb-Uc)Sp}lmgqo51t&MQa9{*
zUZD&2*WG+L?A>G_nZ44V7=5Mi;zFn#U~1XnIirm`8B1-n?MH;7lSu7}5lRGw7n?g_
z8KbqA6(d@?EhD;XUkn3%eqz4~CzpP@-{W<oZ_vQHm6&DbpzmRVS#tU=6WBK|=J2y|
zj6|X9Zfot3_$XoNFjb1KLP_3Y*d&AUFh?26&>w2dLU6a$F5|2aQ`9l7^@-BGgWpUb
z$-1!f^#@_g09gJN-2_<6&PfJ*kp~m5y&Ax4)8K$I$hsHHvC#!+avbTK5kr_<@;W0b
zI*1S-HdOlyhQZgE?#a*`^enBiMwb)k<I3|@9(d7n_rMtdXG!tPW5<QpPe1q4pn^Gz
z-s^T?x7)mJZk_b_KE3!&qX34BljIiDgv-;A>rt?F7M$2s2%&C8KZl3$jz^7}M)Caw
zR9iO@{2Qu90QF}9Q3~xrq~JrM@TO?w;<5qI=l|Dl<ipH$(omLa%TeC~>b&RN91aDu
z1r$<GrG?&xJpj!YbF^t&)#IUWPE^#8mZ!Zt3AwclJG2+265QG3a6Nxndy=>SD9MRq
z0PId5cBCX33qAq?mt1@NI&YQt(8<OHKj0+DdSC83b|UxulrH@dvt5mr>BxX;1D<bt
z775*Y+cpEm)3eM4nhN<Nd&rWD?(1-(>7DE$q)1lC{?DVzhSPqg`m?>Y30ATb=b>9G
z`qO?yNeb63j(}M$=%Yb*sN9PKsyNw>5Gihur)SsQE9XeCpO_a{VX)`TVa(3VqxI$p
z#wjO~EN!tbx6|+t9NB3UESkG#VR+|JI7HpMPo6YYTs1R_Y0W;#V<r6YL_eS67!UPf
zed3qLKc`4ol7-(^^<T~Xba%wHvtBF6w_&Q|^X6*RZ<;0&j4ci3la<}FV{3VQL<cIi
zkPR{LvV~`E{$!V3y+&8N<F{vu{(<ZkQ{VcM>|XD_`sCS*$~{-A(F0F9-mIRD=`*4I
z0d0%`LSv@;fBWLt^xZ+DW*Yh0h$QQKR%Y*MTQTlfD89B7?QKhY7!m)t9fTr=E7x(k
zqQy7IBF%V&P+}!MzoF}%9+Vq1qqP~80g?@ud~<^&CkN>Iy9cxh`{#ui1|uhaejirb
zYA7OH%1eba{QJn$U|;)7{~ZCzJ#xrnX}}8lb6c~vi_7C}-y4Yg>uAhr$wj`gBme%#
z6pN2<GQ9ffzIgteQW7JA>^;_B<5>2Wq=0D?@Nx<ca>!j&{ki%__o!;|CF|X$@c0p?
z>h;dWw~W+~>xS&<Gfxm(2#{|9wB{8qW|_Nkp7CmG8Ta4kww!7-Z=8s)Mmwq&mhzeR
zB6-^s`B39ak}eXw?{9a#S1Z5s-r5|T!Ri~?SS~NK^wvET?~mu2&vT4d7q4!?KFX;L
zu!~R6=ubW@-ilJ`4pYaeY#;$g5_TYy0$X9hDd%GjS#iCe5oK(Mj(5&pRUM!9kCn`8
zbWsg@SkkwSse0TE${k(IHPR0|radb$+>U>A$Nrz=IGVfG1<#meBG9s>*0I-GNFg=8
z!A!Ha8WtT8nHQJc@vPkVyHNPs`(6RC@sc5|W3hE(2pZ*=gv}{q3z?z~)?2T)hQ8BR
zkH+6aZ_uTadrGHbS^YfLu46J`wLdZDX5f}bNcIfj=szy56FsIc7g*u0&JtY;YO4WV
z0gFMC{}7|czPh1$jOLN)?7;1c&A|G$JcJ&+<4|a=V|9jJ5yJ&(M^pAViJ!FheZ7J+
zKi}ez^T<WgNT)W=Qn(|X1_#du+Ihr;C>DB*-7SC;HjiG&YdHeDG`K#x9wA!%eLI$~
z`F0G5%H~ji6OMW3ktx#gyRC533rm9uQ-lba9Qn5!7>Dc(S|8Lgt%>UtSW65}iTvpe
z4}WYm^0M8w+$_>FP(Ob8YFa;tt}!25o0{YZn|~gMddWJI6MJUs(-Oc{Nquy&-CxaV
z)7rot>C`tFQ1wm%7Z-&R&+;f^MX;?TuQL6?kE7M(LN)W*V%f^$5k-R0RDB^=Iuf-~
zgvr|X{<jzYX+F5tY7T>UEZvG2v)XypJMV6+>UqvoJH;Gbol6rjpG^BK>LY4`4>dJ_
zoJv4%2(ODwH@>APy7+jgqiXBzM0C@;YXvg>yBou>m-uDNfFBLsc&P>Ev3Gg8!BPtL
zTBbmrg<thz!KMeqK?2Es7|EN|`;qYOKE{5-S9$7wlym>74#|qqcs6)-Wxqc|@($jA
zVY{X}kP4kB+aV72VD$#hMqzX?#%)pE)-SyE)r`8%O05iLQqbDAKU;%rl%Eh5a0KVa
z>98TViv@fv4ppBU)9OH_GB@JsYNg7prO*Ys=JkN{nPA~)Q|-+*`c*-QnucPR77RF#
z1-4D}x6H(mf%={mTCK({6EbMOz+DTGjXDl5yd&vldGhE(Ga<u=3lBt<F1IX_PBkOy
z%%^IIvJ&1*-ut_n^HVg+m6mtXJ)mtYX!rh?#ig85QCm|)raP=ZG&Y+rYw?(yQnz}Q
zWw(L^rzH?8tRjIEpy^G7M&UD`;^=3i5eUPRe^+%rECpRSQbr-XT0Ua_O~`X*QLkk)
zC*(V?nh_D}&foeH(J-6xeiGhTl)mmH=_&C{A1_r!ki4SHIV{H)u}+&EfcIN5K<}(;
zqo0Ndp9Da+t@BPRi_(Mdj#;tv_KW;!s{O>S!qu9d%B>-=!tbidN1{WhHcf)If00uj
zph~}~sZo&iBbA2GQ$}%oWiJNXlYz}*p8>b*0(NFBn^X9b)%7N%k7vGrTfbTMaJ#b*
zb0&n62%DdY34kfe_Dl$)zJF=;gOIxgUmn-JWaUv0>eL`v>I|?A5I@++rgUuibkW1f
z^!{lSYyn_6Kexc`R@8`^<bQ2T9iMw?_OzoYd}DqM+XXTww6LTJ;O)*I?IeQ<FBr_S
zR`u2^>&?v3=?~DyH<}1Xxg(hzZvBo~nF(UyeP34twZmMPLCUWmO4MjH%Xf{u+&EAy
z=drhYcwP(IU%&M%wHU%aWaZ-dlWy_-HA%OB1CLk6uYCL=e&(BEG)?uW5+AwbR3ryU
zzXvAw$teiF<=Iodu+LmHt>Pw00-M*+iqpkGV$-R8sZVU~s-dS`WhCcV-;7z(FS??W
zlvkJx%Ch45)2PTC+Xy6kTDcD^W?tJ0WT?ZCxje+#zx`XP#lP)ESqI%I>oi;yQ7ku3
z_6~E;c+Py9hlf|_UdZ&R`gY5G%a!~zlWWO?eFDl;^v^!-8tW)6r>u%kck>vN&~cBn
z+C4ks(CJYT&a8>gP{+1Qi+k+6S`lC;@(mj{Ie{QLL2fWrYl0ps?^O%~$PiyWr~}-}
z@UD1Mcf;ZJCZ*n^7-F19RMm5m5;h4Rm(3=riXU%-60h4-47QK5#V3AV^=7v+<ym4;
zx(mT*sXpLLs?EWaG$E1xkz49-E>hr|p>xg_TH~K2p;k%5FqQs?sDqBnR}C=8-u8E_
z!Rx*4B<xJ_B7?J}tZzD{&7Y+vTet_@gRg{=1?s?pv+$H~b{v~%S1ES+^-aaC2gU3C
zuX|ue5GABEr`Xa&QGeg*M^&k2QSPSQ^c1FlcZ>#I?&I3|BUOMVJFIOj?uMj)T=z(;
zgI0U`>+{)IwpM!*ZCvF)`0`Oa*-WEJTr1A|g;<jG)L>{=yr^Gq0n=RQ*js#v3K72i
z3_K`Z74u+6=!H`<B8i=NdluG<A-P)>Vu^d~6y`3_(OF!nVQv1}Ls^4w&qhvS&VyEd
z{F+nybX1}R9PL!u|9ZE#Wrn{6OIzLaM($(1QXR~ZJk^*vN|-Ggm-}Lw^G-P(32rnv
zp=uqGsWFxjb}(#^Z(H-vMbgcZVtsBdbN{6`^mAZ3bPa6dmx?<{ix5x(h*tzF)U}zR
z)FVSkYq)z5{&>KBbYhH9j1Hfd^}3h7X!wilIa^1a%u^_AtTBD4$Y?NRs!~1tjuf?%
zZ~cX0TGPu0T~1zA1s~+p25Ca_z*uU+G_Tsvte)7IhVAJU5DMjx60ALbgR{!$uziR5
z8t3Hq_g)o6FIkJl|39|gGAin5jT==FQ7P#Ll~6#sOH`x<Bm}8J1xaD(nITmql#-#O
zrKF^r8CpuZdtd-*n4ufq?OFHU<9XNp;#b#V&wuad`K9j^&9`rfmHj@JP*)dN=R#Et
zVmnDrcS2U<z6tPPbB8petGjpRS{L2a6XYxYCk*4#7ze1X>e-R@Q!QBPC;XrUh`O?>
zbgT+as5x-CKuCAOq$<DwCzc;2xQ0qG!wl*KazcaglY?$rveLT?MZFpG&s^06HeUCL
zitAP;^jvuC5<rsXESD;?*6cjvbIYm}MWWt6cyazD@0-m&Ur84s@?~tF^S0xZceATq
zy^>LP5TQ}Tqx9z&!xDj*a%*C)sSlDdO;wHG>eCk286e1E(-JqiRj}u;9c!iH>@4T^
z-XqN6gLIk*#uiZhln@YWOo3V!frF5nHpeqz274PCGh1$L3BBxJ%Uhn&_=uyGduj*s
zw;`7qFvG}L2UMEmx6iCX7T0k{bO!1SPGA;mZoir|a4$x=uN9rpKsvdQK`f!dF$HiJ
zCLu5xKh1&=dBm#^4-h1ULM<Va=?PRQsTeehzZd1R@&1o}*P@T|)TZq5l3`)IgF!Cm
zA6x8K&!B`#iVeGT^>Issev^V7HdTyC6AII<f-y<X{Q1yyJR2l%{gc|$FmhX}EfzvR
zilnYQtEsHT=C0H=LYb2o#cp+=WJqxD>7W<zb3G^Zv*Z}F;EAUi5~9l;ui0MI05XQY
zMSa?Vt2Y?)RKVxeIZTV!0Z!|x)>%F<*=j6GdUN3pwhEYAtSQNpx#)(s60F%1ohL0@
zbIT54=UF0ceF7KZwV~$-E609@XS1KnK2#BPPJQwl!!(JbucCMlYmE5#237iS`1LeD
zvL!y1=FY+U7!wH1OmqNUcwgvCeEW2^|Ci}!4-eKO)uS10a*T|?_1hbyIkUE{{4la&
z5_DWGr7oOliMUWhizrIjErD<1Mkg~VUX5%|^rq;SNSG+E2VIx|>Kfg60^Ey$JIe9Q
z$Cz_DYSdjUCNIN!)J$aRwZgpSK=1mEa4UmtS{0kpx6|?)i811yThi~g+J0tqV}AE&
zeVeJ9nwi#1LzbNm`<qcEJW{{!W7xGg{ajt-BAG72vm@bNE^P1V=fslLU)=NYqiWj&
z9~l4VDS643R=XVaG7P<<#56~IFOQx(S#Ywy&r3JBGwzIQI?BdET806_8i-#-AK#Iu
zt-2UX2EZ3h<q*yudiW!AbE={IwYWVz(3?y8D=g^_`ugH)U+rN037K}Nl1^T<X1&W*
z9T`;VU(n`<aXkBtlB6{5+}&H4);#-i+m_V2#WN$q<8Fzg07nNH#Xa|>x#T|NJ!;t1
zxv)NDut0M{H$4uyk$Y}gt#qz{6PiIsOV0pnW9YN_?#o`LcQM}JAy0=_CSt{OGn*(&
zLtfy}Zo;;nSP!F|n5dkmZ&~JqmE0fkx?F=me|1vphrqg}(ET^W-^m@Es(n`DS^j0Z
zbtUwj>p;-b`z%>UqJD=fEHFoH5h<&xi&fT%ezA}z-?gK1-)`I4yV8m<H4e;_4$}*$
zVDh;T@{kcA`#VVDoA>RvMI86`+@z6Kbtntu^4eMK_{I=R`CzQyuEMFZOPRQYlc@8d
z83KdGqrKEIy)(BDW=elfsX#EJ3jaJK6)hzR91OJ?f_<MWaJ9#!YP@;F?e+F{hXtAE
z{>l=<_QKCX-|jj*W`YQtkB;r^k^=&wysj#fY^zHo<d1-jO^=??;KpVB`kG9sNGzX0
z$CnAleLI>HvF*(^x+ki1)HaJ!qOHLvaj}MFEE=;@$1NXtt8TtX&tCo|gi#kL=;bWx
z&GaR9Q5UTYo;e-D(?UXEH%2wsHeY}T<=o0(ut%a8Xe&w=+AIHqz*k41r9ipy<N07I
zeAn-6nk59?`hLTqz*1PW@SIM0nF-&|=c+`B1P|XuyqlskiYNY=jVOP+^B<(Dk)ruz
zKtkt-?IWUCzgp#f?ZY7!F63-q1ZNSLSWv;h%O^|m5WD-S&3D<ZVCCHtPxMpHoDEy%
zB;o42^F6l$p4o~+$MKstdr|u4JDRcLzU@06Gltd&!rsn(VnOFByn3LkP)4sa?cTkm
z4Ii)0FK#jcvHV$5=)5Jrr86~70ioP#5M1>YjWZF++eS-$MSB$n{&N`bk{rK~{)o(C
zwkc`Z?xae-Wz8{cYhx1#FVulAw!E0?m6Z|~meOAifVJCY1RTV=WPQ;h{=AT{JN2B@
z`5KFr2}8eKhQ~oE1BAz`mwbB6r6x6dkM4t-PEJJFk!xcV@!2KBOe(-ebYV6jbQevL
zPqtN>MCL}L?OMtij{vJ?VE1Q_PV3NIABk~${z09iFmj(hvUTxF_!fW7Ig4*l-5(y1
z+=xzYQGnYopG*u{wevQ28fd%lb3(}k_LlftL7G4nf+(rA6H8yHv4el$h5}223E!r-
z$BkOL+ThUf9PC*}BEnAyVppe%2{D^b1J!j@<=Vl46*A`!can@uCWk}LpV&#ir4mW+
zkCOTJO11Xd1u^$mnszz22kr-DDRDMGSM=6(Z*)c>?E;LKuXa(e!oWNd9M5k2&Zeh$
zVOn(<6}B*~J&C%DFsF*#aWA9Q=$`CzDlNEpT3zzkqnxJAlkVqo;)i{adH0WmybSH?
zmw^M0YYBv1EsZS|?8yosAiIk4zQ<)>q6hif!aN|D*r)#-Qpx2WBEmU-q|1Wd0Sb_7
z1m4QQGK^$y5==91L{PjWg*NSZ^-zS4YfVA6;>)R#qCh>-LRwTDiNId<Zd?eaB^=UR
zxa2!|;yH~KX(MDboF5if!7WPdieK}PC#Wt9OW6{TetLE<uS~d%%}$i^gOc#-Fz}>x
zj2Tmws)f%ag-#M<@ch+p4U7RGQgKo{W+)()Mb$H|*fv4}eMl|lhwTRVo=rz^9jzM*
z;Ph`67wyBlw0QNJoTJO4C=7BH>l3AH$m=Geg1Nub<5n##C61T;yCqAdpbQCKpX<CC
z7oM)^^v>_VttAaho;VTV^6r1-vrc%*(MVcN#DmHZ<Ej3xYm`RIQj1A;Dhb0g=}g&A
zYpU;D<Agq5K-3>v)wyJLNAjvO8|Cnm&pa>)<{jF*R@lSV{1CRy!rHT@aG~<X6Lhw2
zs6fz+OPHO-mwVfD2;wK(1r@byJyrh_@0ailj+Ksr9g399EbQuUGkcEG^m+LVg6r+6
zd;n!AzZJffuPSeN=mM|SPBQRySe}sBNP`*`VWtO-F1o}%dGq(|#|wjB+OXoJO|kj_
ziU88w9U<SZykT>a`7uJznnvq^R$sVK{O-r4ZYz}=QX`!G9KeB=QN`;=mnZtg2s|ed
z#L|E0Qq0JH$+@VPg^ovp{+Moj+C64i<o+Ufy01ADeW8f8Tab3ReGAsbKVdny+3ihP
zM~ZtlReij=Ov0wvEqW77xzMmL@gmZ#BH>9va)LhD2{ooSq?e<(IeSeAGHS=WTGtuq
z&?h8?>`Glm@F_oupWO!0fa*TqOurJEp~kDwtBfp59H(hjg#cYPmx(UUUVc|J)x56}
z^W%&AYx`I)3$>-2##4>1-<gQu#fjw>E%?ok1B<<9Zd$jT1rtX@;Bq4RzpvXgH&_f+
zq`7w2`8)0Q;@g5^LcPnT?3K5-75;BJ#B$L!IQimVOTwjBe$1<O1;c82!voMsMor9`
zm?opr4~UMUI%#1ev`d!u6Q%`2YXuM0kQh?T-}6*abQvTibwZ_lpoh%AH;`yw2{3FH
zR8QWD51Uze$_AMnHYtccAM%XaKMQbtKGbpoAsA^;e1jf~zGd39YT8?j8CD~AW6OIX
zA#P@u5TA1WUgFE`ABkXGcWYN~R_E7iO=?tJn&f0YyZ&pd{OMwU3y+csY-@o8(QPsX
zh^ooMtR!P+C=hoSWyjHVBviji^z4v1av(~AI*<rdK0>ShYMtwdu85II%Cxm1Waj}`
z$nf5opYNf0)z`St@mh*tT&DuOeiktpaQ{uGOow_ry!JH_QyhE|ZZvTRlht||^F`Be
zCcV_P_$HSlhDzcFNV9n##HHf&RH-`)y{qcXF*ii+aW!chjI^A#+SMi4Reb(>{FLd$
z*lCL(PF&PM^ekwUv*be^vqy&8mNiz|N&Ur-r%NQ=1r1jX`6MPa&0f96FfSpFq{DoF
zddR~eOdr^KPq^8Vyg&Q{v0r+{a`(n&Q{RgZN>1OioS>cxnM$^atYXK?%0GnkDlGM&
zkLfY5-@qw)Wt(S`3Qm4x7G&pR69(&(8ETIDuVOA3AroCcn+ba!V0;9(7A9lN0GgOr
zUZt|L*gh>-{f?=L4vUpmO{P4Re}`@6j)6c^Ag-({fQBkzw+c%;dzl`Aj$=&%tdF|8
zEd0P_$DOzn-}68U?>en`s-j!7+?@Zx;7WP639q;0Ik`_G(uHf&3y`>be;X)SM9?y7
zJ;G>?bpW1s0g{-PUiGt@PAX-r;G3h&!S#;>S}UPOXl>L1@jOhz9KIvi%EUPUrZG8p
z)6YKF1CPT1zzph8y@Hpm=WcRL_j5d~yXt6A8hhYRJw{!&AYUfT^<I<cHqM!Jk|?))
zfahBHQ-QTx5@tBZPi;x54??D<eav@8A0Vm`9?%<x?ssE$=croJ8!o)|E=hFcwP?N5
z>X751sun``jdcYtbbJ55L`PZ26<R^`f8PeYTchDj*mcpH04|==uLsLT6P|Q%;T!lg
zUQUNBOzVXJZG)!|UYZntcfUehw&<alBfA{~#Hjz-W9X`+d7GKle%Wxedl0yJ&KPq<
zPPv$^oW}P`$c^H6Xgy5j;+ytq?FGp_c*+3z_i|g`=ItnnL|-I;Wtd?^$euo=m2QB9
z6%tlzu#w%I8G#vBG`N_h+3jXsw~r6@9Ke~DbaTl<C3Mdu{2=I6#(5I@zXn}FG!Cy^
zOgys1J=my;s5T0@m2L57)g!%knKW)Np6eqg1?t9Q-B$szoZ{Uy48EdU8PB-6-}aGT
zJ`kA^npO;)wMHri>u@wi&~*7@7QF8eiW5q2&Ni!kA>}JATO-(Ld)4&$B<>{Mj(!|W
z-jwCp6?t3H&|efD8zg@;w`o1hMd-xXOCHA2UHC28>)o|F#`eGYLxz^><K%mx9zLx%
z$7=Z#)}0`Mp46_@_u;_F%4c?i2&=fy4FouQbd-4SPw)AuE@gAXphap;+(9Pge-Gq+
z(rqOEenHty(UN8>EgG1pia;epmf64^be<f}G7>GTFG{t$z4jYw#P|gO=tgV44`Dau
z(&wLnLy`70Xv1z;C7#FGRXyY6v9-%y(Yr4FXF6QqlkVnoByrYqCj9(>5pQ_+22>DB
z(zeyI4;EW7MpaUFnKACdf!~aUWuNBPO`0C>7I=y~gntixB7s(SI6jUmi)neB(LB9<
zQ_1;-ujjQ`ag??8&ZOeWqA)r|1>+@%_A<TtcgM&>!gd%i^bU{Y+;v}kNQi5p;d%X8
z&AHh%Fah?emr~>;P2abxf}s`_1{S|8Y$j`H=r`X@nF=j#sWDG#7Dr#%!JvIf!*a*C
zYdI{AX#}K3-{EE|A2cWoTf^h%p|@8!?vb$W`H4g`ZZ#JCC?R|Oxd!`XGlpGulgk5U
zpoU2T8WVL)_lhZ~@KpFtXg|CTWt@L|zNy%$XCFSd*F{f<XznqtDB66RUVLO1g_cF0
zM8@rMch?{=aqmXOcIx#0tDw77L@=8@Z@wl!Y=rPvLsyocpNs_DD`*V&;-45fAt8JX
zmbsVn4_!#Xk_Y&5>c1L?5!k~E0t3;LQBibR3ZgxoZI^)v9Z=WEbYYjLz-FA&`lU}+
zMoF170BLf2g{yfFKI7D26~s|>zq)Mmrq=2ElQ<grBq{xl_V8VCO|+QyQ7}d((0vYR
z=iVQa5&)w@!d`gKm^6K;%R!m@zHn8u6{T#O;x(F;O=>u&tCgs#I#U0L&>uptk>bL7
zFlSd!G?^gC_oWb4v}$J@xTC6##=O)OC!bd%m}Khz<PMwsf|uS!Pl3%lKyD%_))$a|
zzoQPneT?C99aFTUAoD@`6Y~k^5nmxBk}jD&sf#i6@-novS=#@8lJh>~ec_M_??j7+
zL^NP8__kZAk{t_>=;~dx6tDea$Bu)m&{l*I+_x(xxj_c1FljySZ};7VkAF~wzqaZL
zPHL-5_b9=xxifu9@%=(Kki@kVqtOD<|NRy&S+JPg`?m0dmJj?!Y1jem4>+T;i~aCt
z;RWvHQpwFI@BiFQ+*SnwwiKH-M|*V}IT#t_NL5NNo-DoX^$5Pniun~O(Qz1U`N*(4
z8;vzb{fs4E%O;K#B+RI|jMoakA#a!Idzf|^6EnGbGk@+m%%$AOC{ugNcaKiLEaN7P
z+%+nW+5}fxG&WQQjI7TjVGjMeGrnm$>>D1=m+Pw+xP%}&o3XC%QZJ6=6}y4L$t0Tj
zBet7ghIQVQUII?KT%?nVjLBhCW7ukRXi2c4D(8`WMAw)c>)?{`tr_(LyN7IdtOG4A
z*2##{dSmS-74j6o6a}2m;F0Aaqjy~&J??Y1l&qq@3$(i$84`VDiYVvfq!SgkWHQI9
z%A7I<lfmi30XyfbGm`97J@|xh60mq{6nl59eV!0rBUjfa@%`1)E#o5vOVi^!IXb=J
zJM<Cy@bg4JvA(~T3m>9Bw-}9>Lu7S0V!R^JZ2pL)3hB7m|GkucQfYW}aK1GdO+Sy<
zY&pj))^3mndN7hcT`B0<aM0i09vhHtXP}n&mNs$>)x6Ld8o}=zQCSQWfX%{8rrC~u
z8ziy{NS+P%6Dj7qdHP<Ie~cKi&D7$%_(avyCoB`|_<A_u{kIparRyXaRe)Qi1bS&j
zjY{T?#=%O_#;Y>Qt++QSNR@-{4*Ix7aB&Q}^$RR@A^-lObog?$gWG1px{&dID%JTD
z^|=Hl->L5?2f%9Sp*;mb{51{uZF{)H9Yi(E{pe53-<6yDNqyYg+yI$EHV;tOIUQ}=
zNl#l-%u6c3CEG9WTKg#?#_f6@y-ldncHstvbi9T11&C8wIrLX}cIQbrx9b66B(qC>
zp&GBuQ0Ac~H_+<{psQA|*ExM^lY3k`55iR{Juoat^qL1oppf;!ibd-|+}Ev{suU?(
z92;7v;1?%>U)W`|mtueCdPXZ^Z>bC)vGo5#Xq1*kgHNI`^50J)>D9-~?yr8ER$?JP
zb@;|7G0&&8VYolua>X^*>Whm=aJQ}C*nWUL4aO|W<?qP}6f8^49|zFEBs~H6x{Fo9
zvf0m^LF((5zCB{ksdtqA<R`U@l%cz$*u4;O;Z5YFCb?PB6|ynf-Y>Az>)pm9%_+aj
zZSvu>W7B8f;bN?tPDil#6ZLngOptZ^*hCR03DtFJEsQ>~Xo+s6n9T<2Q=M{e7t&n%
z&uuEt4Vkxaml6Bx0TKcvI3-Tp_`O&)(WaY9dIi*gEgJDmdfNR;yJ?Oisipq?TD*;^
ztv;yUGagFh>wO#NX*kFyu<@07)1hEQ{M=nxUFO0D>-#NahIH0AU($<;;uoCw>+Nw^
z+3h#&J0{<0h6O{xv+%H7&$XBaXeF2oYEs5)VzATRkqB51Xn!`IK&KK~M6*|Tr0*LH
z3XmVD{C=U+-Td&B<n!j-m&NR}NExjPb`Y6``MA*irE+>`4K}sp<6$>dV`Vs5Xt(H{
zboIaIaC>cbt>Z#@FH;?U{*;tG4=nihP)Voywgrimdlcy}_l|SQhL;jBnS~N?Hvj?1
zGWL*7@z_!f+(5V3@A(=hzuH+7dmV~WdVc_9hl{R$59j?pTX`BY?UxM!?teMUsSPgo
zwaLJN0!ytfLywrTdnDKx5HoE7E9&Q9Qjt~-6!$S0EC=?6Llvk?G-Ip<87d_()`VC8
zz<gV(74^6m2ofymihEgn?I^9OUl@(QU+bXdKg(}f^=M$g0N(QXkZk!t*NS&+Wx#>R
z;z#2mXJSj=E@@S>TjgX`W>I<m@PbS=y`~`FWn0&tP^wD1nT)RKPnbV2Mgcl8&optK
z3KMPKxb4p=D~MxdF#C>kD)Q<?>kCWgDA>`N7QQ#V6t>A#-6tH}la8r#IURHPX*B2x
z(hpN~O0-_cuQTj^^|3U#r4CVsYt$w{b0vabW6-~M=BD_MuNmCESnh6RV#%}}Pjx8f
zd$q5$!AgnClt}wodTT4y!(OVuA=%5S7nIyk-5kX`Xx!}mN<kwf)10~pI~!OGx5pXX
zgMJQ&uFiYs{LhiSQjT%%4_#}W95#}gn<T>?*t-eHN)HYN`8Y>i1Fv~Ne~uRk0B}A0
zU~ea(Lr$%&YtOWUi<VtYwe8Nrm$Wj)3Pwe{7)ONB9zBO4gY~lk;WI0WY%e<6?dV$~
zFiJCN>}82{)G7RjoXN2VEC<mF=0hAGHWepdZgb%sYF^jqwgmO#9HaI1^Yrhtx%P50
z=Q*QL-S{3(lW&{{@2=408{}n@p4HcyPN-FxcL#q`4-5STcR_6J@Cu=&ZW{;0CRGBY
z%i#n1b7Zx+^4O`}MX`>ON#ktHgmd{}^$sB^-k~HE!HbLq#ere3tQNwsTd2eCZ*Si@
zm;EG2*gTuour`(UR;E&OKGaNoD;c&<*>{Jl<kKF%G=0wbrox&dAv?FWYMp_2qNmR=
zgD}Xs(OaL>Ml<!HP&(T{6v2r#^CGxr)ZOR2+kQ$t6P!jp?RnO~)Hv8MPRQh~QKR6q
z@gnG6M}n@t`hO`6?9aM5dys}M{O{U9L!~l+b*d5?U`c9F>}FiS>|c9&f$xs!pg7Cu
zSZ-GAh6@+=euD<Y*0G*7FDDQ{rd`_lD*5WE!Jt(>M*=<A$<v!BJ5d^8XaZ_DBJWnK
zf>fN5W3h{UI6$Iz<)pRRRuv-;b!18Ll=pfr!cHa(-IZ07xF^J{v%Vg+uLqeK0F*=&
znbLczpQ$ZsBDrE#M2PHp?kr&ix1zHLa^C$uroS*G?U|iV*%s1D5d8{X`WD_VKgm>j
zNcW%)Q7T|7cV=Z(ZDjI0Xk|VwEA}&7?8KZ*Ybb`aIUzl5QG)?;RXu|~l*nU|Z!_q{
z*}*uD;jf~bQAs<G2Bk0$1b9&o*SBlGUNQVIb&XcF22#}9e_7>w#IS4U0XJuwdVTd3
z+OoE!h#SiIP#_H%giEj^Tyi{!Ys(PRsD}?Ba(z4tpk_t2P{z7o!}h`2EpapGfzn2#
zw(=rBb=e5E?VI_Tzx90n9uRt<;gF}BoY3TKh!=9lCf%9rrCV#XQ@0%_VhPVd_CE_D
zP19@Tn7g^KI5{_C-JA$kDVQ@fa5?rol0B0B2RD0;U8`v~Lgv%xEN5<Pb4-OVUSHde
zWf;}M=jNM`vU&<SRc{wqpLa1sY~e&`$=1oO-lIAFewZ3XwF>Xnr+ZCKum}FioCD65
zw(vWiEi$`3R}&W$PwrwB!*y{#)6OHWgwC~<c9)0zG~$&w4kU0=mh36Wgn^=|9XpVI
zBZON1re4(}SI^Ve?z3#O-NIFp4U=$yySSf4R?uxabjZXt=N%Z@+EfgvMy#J+oq)gd
z)+wN!TP^?sz=#Xy&2Mt}_*`1H0{Lkl^&L76f$#u{d4!<}ft`<oFXRX11`t@gil+_d
zENva#e>O4g_B0YxO%1sQ=JA_lX#j#(m-z+AlGnZ8WvnX#i-z6i=?lk8u`!mACbU0@
zG_Ky7Z?5@(6N$?zEZYZ?g*0RoFB7DerTe8R6vQ6!t-){Ou8rj7t6?@gFc<ubG0e;Y
zhrf3g{g?h2Z~L4t)?AP+nO>kH{_pWi6VZI*o@(yg#ff~eT&v%e=sBQmuibD9Pa;ra
zORmjJVP=VA7CPMFZ&u&q->_|+tkWKM+xyE0POjQ0ip16Cu`Ps1_w43iGd+OblD4+>
zd6Np@)7jSLAT25{d=EY$nK!J+fC@C;OSB_kUNBICZ5BT}?P^d85N%XSVoL{is71XJ
zPoD}unaN{MTmF@>2gQ#EJ{tuE01YL~vO_%95n&#~<`K_B-{E$aRDHFMr`->Gb`!{U
z!QD}bJqzji_RI2D6W_OcKibILd3p47uJqs;U)CNZwVd=Q(U9zO5x#{>a3X+aUEFX-
z9B@w_3e{SCkK3rrq**rY->_3<xV%qLAICl~@qF1N1ljX@_&5t4PZ8@LRBxc(E00>g
z`F8-br+8!I<a(fBx<h-Z7bVnX7KP@Oh<gdCy7pW8(_5Z?|3;?spkW2eZRdWPT6F?6
zQ!TrHN~@)ZokrM^$N$ZDtR+fp*Z;c{ezg~Voo4-;C9G5z$0EOb-&Pd)yQg(7EFi4D
zm;O{qICS(W5`FaTZ~yu-fg9vZWYiIS9y!(pybd`y)~bNDSgGc(qZ#ud%?}5S0_bXI
zyZZLzB#(^mJ^w<;IIdn#cJ{IeYucJ>YDCDaQL-EH_Z6X1b-Y748~TP2$LLP_0*Ds!
zcLVDz%lhHvZmUURWlxFrY5*NLZ3|zDSuYI^Lz$EFh|SrS57EMpfEUCefUfj6z98~`
z$Mmpf@|SoQ&=fxNM`hb#Sm3nnxg)W@Z;0k>Ia__s1EA`8F`#qpK;%Nml@x`9(Nf~d
zohZPf*kjTOP-BPfOt~F>18P(eU05TKkltWdB%*$twOg^J8B})G7BdC6wEKABPu+gg
zI)w~H#3MGqsN__%whXg%I?J4qd%SJ|?lLRuDOL{!nvIyf&CN)(Os>ah%HT%mm={H<
zFNV9?t45Fe^yswsS@9+HE9i_?hMA1UZfLHKj|>tflMIVh$8;Q#6ZT8(SKG<;0)GPS
zH?PGZI~v|B+pykbx$Xbi-oLtmKcpqQs)1w}ses3i1J(LR?0FkD6O;V1W1g;X=TB<J
zgHaUWbKUZP_0)lb43KHg>1jE>l`o4pqgA$-DWuLdug#2bWN=cTW(A<iBds0G%o^D)
zOa91jrosyUAPi~N*rS2aM@$xDb~Sl%e~&6Mg8f63)oSg0Tk@ij#yt5_Upm@|&s)U)
zCdWobN*pQ2J42{VPfFTi^(S-w&7-~b&pb*~JIhTZKCLYYSVbIRv$1u+Xi8|>V%Ji&
z4cZ`$;-(%F;7=xeF=h^1ZSOEJT3-_5S7hF=hU$Vz1%R_%@{Q$glJt`Oo|V?R?icc;
zmdso7uAP<`nT};g;ZJmAcTv}OiB8O+=5AJl<kM~S_v%mm3LYD9u#CD<Nd;H1a0~>O
z<HR|j4@3U&Maklf*8Io~M2!W=Oq#{E)%xGNTv~Ep8ssFf?s#LMv{jN|7FE$dhRzo(
zln?AC_sW4lWTB5$fI|efcY}!@^56OR@TMbSqzT8$qwrJ?I?ZCP89{zq%Z!<FQR>QJ
zGnS*l1-2Hcac%{&-A$110tyK-@(f|C4hBx@a$;!Zo-^?-Mzg~`*H->b+kJ1J>jHDf
z?J0^`Yx@-=u{InpLQaeSFx*&0Qof>eX|0gh)Fgkf=v#QX;CU0%v+7&GDKaEj;x~PB
z7wC+k3=Tw8npbG6hB|Tje>GPZB3nf<5qf!lDrVPQbGDHQK$93rU$_A#EZrl>&?%b`
zHdMorc!WaJAeAyEH<QzrVnT9kSoGYT#CRGZQqdq3C=+l`k#>q16Uqe0@^zyIzQWC*
zqn=Jrj?M>pmcOiRYA#j_`-J&FUgvP+e)_&kdDfGLu!I2Yi#qK2uQ-6L7Z**slx*fk
z$kq38{krCu0#p_l;ATTbo{cG~iwL~NeB`%3pPCc=fPe4|K-Bpg$XIU9)%xC2Ayhb8
zQn$a0vUiQxxP7}khaMylqB#(VK2+2c6J`pI*{gqgu7X)ne74wqkyvyFvn0Z)bN=^K
zE*S<|-tptE!QO2e<we6wjCcz-w5cnJwa$mFw&%ZCPDgc=6_Y^u_X;pFZ}4k@U=kkv
zJ|6<+@MQhhU<Q`pbMx-yUpsv{PgdG`N1nAwW>$;@?k3$Mx-3FDY4-&8q?e>L;JA|o
znBaiE$Clpzuqj7{GEYH=u<PRCar|S?JIq$>H;^9cnM8L7<N8H!!Y+p8J}6a~vCB{K
z6<RE0L1A5-)$Np;=|pq<j8W-K{x65nJb7zP&XK=IIAPWuVoa62$f|-lH9H!1c{c-*
z(odd8SDeTT9C~uGEf<vZEeS5oGI4pl`w5h&$Q?}w%!h}+nG*2b3DvNn2QSCInK~I7
z=ElV2wM5%$$0@lE!g0F35ptENWb7aH?K$VgZw$3#jBwq_;lo-T_k}L)$5|$>=hk19
zK)E~Kk;n9;_v8xkyPF>IpP*mVznaE9>V*@TX!RfI(6CR>Oz-BaaiE7*Z$2Aq7GP<-
z!93A24=erdx+Bt+a1q+Q%=Ve}%p(8Q(!Bu&%-GXGz87&i&fnE-$wPEA6NZmwC&_ml
zruVn$7rUK+^NOkVp?)o!Y+)$oQ)}?jSyVOW!Kz4QHD{IFKP_wS_r_c@2SR^gqhz8M
z3Yef^2M3P>%Kh(VBi*BtwUyR(DuU)pg2BIaVb2s`GE}qElko-CtP4eiAgtv0PW@+h
zvGnk}A_$G<pO<SFd)9ovXkHi%85xY<c|3E-H#q(L_^xc%<e!sR5r5d#2z2uGIFrwq
zE_A23h<-Z74N)XpFKeE*y6?Ko>h<t+I_3E(lO}&RL5iwWi+yvnR1ZEaG!8JD#guI?
zU1ud?6P0k!Y1j+iWN;nyJzF#dcVQT)Nu3UWrSrT-lKlvo*m8d$=M!7TZ`>n$mTtn$
z^Y&M??Uc@>dtrj9Bi<I?js69vIM4pm)Hf`gnW4u=ldZTcu={z#2|)P@`MiVs<kYwM
zbvCi7A6YlLD{;(C!T0)Ynp5k{Pon08qpkZyEJ)E!hNfvSSnWc0!P4~Q4m(K4j#0n3
z(N8am9rn(7;TH-yI)|fUGZ~5F>(e@Sc6!ty*6;X9dV{^~dO-U}6q;?t^xtv0$T(H?
zZoC0$))cmCk}5gd66BD+GfOA}BDvE((zA>kFtMeXTbSMZknIm`I9J-g>&pnvCSM+0
zDGN*t3$7WV41w-$5V`!ftoQ^Hh-@6}{V@6Q?sA+t4AoDhFNkDR+5*b<4%q&!h|gsy
z46_s_6^Tvy67kN;DmL!-ReiKOcDC0xz@6A0m;S<tVXpYdNwOz^&M8GaE;*6k7NU$>
ztjA^|!O(|X@K%>Tu#9;p*??M>Mi`s6s3a7Wb@NqQ&8^VYpFsu8_`#XgRaB!$ae4&>
z15h>2=k|@=lcz!tyySLbItV+zTV<!2zWg23DVlaO`tVg{6D{+_&(ii9g$|KsJ9Bo+
z&Z$lU({0M=g-2SYkJ1m%lEuHi8k~pex*EDzReZSekvRlyeUK`W3FsH-KKZ$JesucG
z(E!;NObs-2lhsuOVkAFOZC(HzU$+(%5!PW9eUb0F!X91tlnF}`6xvDCME?$;8kNC=
znCMb+0}102X|~gO!Y|>1h0$ysGQC<hJ4EBZ2dB*j|3kABib$F-g0LF2K<Yntpaq*S
z1LzCx<_Jks-LI7St5(OKeg@;T*|8SmJq=)5h?FNME#wyot$e~aIjCbWrBj(zUboj6
z_qazeB;}rc*TbK#{o*%v-u#u-p=Sdw#O3*HTiA5+qlrbosQVc-=eYWE9Tnqi{pvh~
zS+8n6f@l)KfvvaYgPnEk3)>7yXh94Q+wL{0^;{!MtNWWTeXm0=t3n>Uq~c#i6gz83
zThg(_^w}}adhagI#C<y3K>C$Qm{TO4k>Fb2phYY;jl(!_2Dj$B$KM{28WG4w3){wd
zSt&C;NY1v~s;!jy2nFNy@8LJhvl|VUF?SBW`Zku#g&l#`9|2p;*Od6m(uf<w^;ST6
z`cZRg%DDM{t5=Qdot^DKouKIA>!$)m4Xrn_&@L;gmzN*S3m*j#CJiu_m;FFdY&dOY
z(yqHJ6y{92d8ff1Zvz>`4;PdWFH=bsJ3Jq+m|v?U5S^XzBKLSy#C*BdnqnTm{!YX&
zX?dWSy^~riwA(Cw;ZFqf%<6u>9CR(|8wK3#$v-CEcIigya{+mGE7e4=U$OkUV_|Z|
zvJ|dr>O*PJ$xoh>YpgOvyOHTiGqJ|;mFcj`SMb0yY1vP)dZL3qmOt%`S2s0f)5z$0
zv3sD@iL)Yhwyg>F%~dkR$I(*D?(AV^mC@wObXwHidAQ~q=0Ml)nQ<_@|L)s~FC77~
z-YaH9QJx`#1~!}kEbFz>0_wwK;(Cpq$vzw(pOvOo6hyl+)eZc|piGx#{%qFXNt2^$
zdDFug@;xFI=k4Ah5(^R=SLktX_C?U3e+_&@*EkE=$g$<xRv*gSKe`F8S|8=*>4lQh
z(%2gMt4*BjA_Z)>dK0P%Me2nhb1-Kf#5Bdu*ls(}Yy%P3ik_YgH9$5F8{!?W#cVzK
zRDm$l`@rW1y?Zx_a+%|`NB_9vWj1f0Wx4$%9len|%&w#p;AC3e2+e%;ahujQE)P{O
zr`zb)CiUx~vu_a0tK?c}NA!IIaiI4*Q!ucx5i#n^#_lO~vE{QG2FA8p*2xN7;ebLA
zkgGWL`~Q3}GVg<XKrp{w1%c|)<Uv7m?HAj8bWN!ZpzPb^t=!Hj28UGYKq=l#k<WnW
zx=3Qp<cp!ZK<xEMON6CDrkz1JAhyPo#flklVL=-#3$DE;&6&2`$Jwj=iZtvS2-iDL
z2VRr~2wi1>)EP2Rc4N6?ER0+qv}n|oUQBuaOw--An<-XPf{b(euJpeSd}14C({NM$
zrOD9gpG(lkzu+SAG~U`ZugOD*hpLQDdyDI>p(4kYGyD@G0`1ZwOd@D0R7Hm|gE<)|
z6a%=)u+3w-^&!T?v=MnTIiU2(i<;9R9f=>{<$H$@Jz%+Ux($URg0@)eCyKTB!0a_@
z%h)f}Lc`FeKED0C$kUnW#rwrashQQYFD?CUh{rdWUpXc!yj~W1C3;=vZ8P|hT^zB6
z%`zF+q{ZDb(gI}hx60=n0<4Uz6$r=V(WZd>5_!$^q`l5+bIf%Q%a5R9Y70d{Tx<4c
z(D><g*G|(*%*QSCAjsCLQ-z$zKL6(&N;D)}3S?`ZbXrKxsyUXQ^j9+~xqmN3Ks}p3
z)NwTr1vwF<!(HS*(Ro7Zb4)l*h0s-Lh%u|<uVZ_RdyrGEq}E_oqLqZi$49*_fEmbS
zsakcfS9%x6(0OX%Xf1kqQ~`eN%yO<vFEP_4ja_xr1Zlo`aHA{~5Iz49bva{O-WmzA
zK9dBYm%?zmTDUm2N%)Vt3!J$9uW+J|u4Qy<ZgYnq7HqQQayJ3ZL{;acCB4dYFw0#l
z^BNw@tcSaX*@41W>WN68VWd!xE4YtI!A5=iza~ddJS{R34L|A6I+yn~kRHFGszdM|
z^lX|<z6EyjlcA$DU^_8Tvqdr5iESshEp6@M|G0X}vb3l>Qq&T|Zqd-|{Z^(-?pO5&
z^TliGVbd?Tp*Q`RGuZ=f0j(RU68jBy%8qlv0d%rZeh%ob#n3TpgB}0IwYRy~%3hL6
z67`{`gmySckC5d}R3g3(q~jDFsEvWe{2WZ7oiOxaHikL8;HCG)|L!>PvnsaHBP!1Q
zl5`rg1&gr|({g=C9&+==T-u_Hz=g0zm_3Nm(?4`*++aj=`HecZI4&i`)TGgZxDL5|
zYu4>m5o9bGwnYe1|M{W(EE|KRQ!X75Tx*nNU5;ltDh1sP(5F`)lTPGmVKzU!A~O7N
zraR@O(yufbTTICz=Zaih>SWe5G)X0`c3DevE0l}7Me4th!Itp;YwmSSD%;@YPwKE9
zsTyP|WnR$*OOL@`r4{A=c$K$92QXV}+)FG~U-lf2i&+F!^@3=#eC*pLzVnyTU2DNo
z83snc<U<pZ{fwPk_p?LT)F0ZesgE@E56*5J38SgNdDh=Yyp5euA0n0CXQ8pC4(t)t
ztgq}h22m=XcrmRNqYN5-t(M=eJa=?VjWYLW<X@FH%#3DPk%8n=$G8U(RXtXAY+``_
zxnAo|$hDq&!vNnMD2OYFL9cm2d`Jb(8;WS;j?-g+-`+l!nNOGHB9XI)4wgF~vxxr`
z&f#UyjqL_Caz7TPoy|p5FzfJ1jar{J@6D{&Sg|kqhY<OH9~RC6$1gN{DL?yz0J=v9
z69slJDkfu{p?BNiIv-?&rJhK@iSd-po~N1zVAF9@H`Vs^wl~;OzKj_rfs^_rI<!Nd
zgrE6U*4a>`hUe-9gLnyToZwkO&i!9V7(+qB4#@<ai>h=rC6lqi*tYq9rk|BAAuw8G
zC<~ptbCfOI{80qu+~KcONoE3!T|{y*Y9TpvvXE>hcSr?zjD0b(r3>HLJ#r3A#0p?b
zB!vkF+UPj-c+?~aYfmWc+|Dz-WJ7gUl;mI;)_?pqPr~-Xd{*f{;4`n@;nt7_4O1zI
zCAF5?k-m&+>c*ds;^$Tk){7Q5HouKC6;F8|6#)s%S~jps<dq?T_}}{I*m3g4bIHEJ
zOH;Qa>YT3kUJpW&?qY%oe6Ncl8OwKNGPCu#Wl!dAhOId~C_Zt^#Uw_Hr*mGf1$8j;
zvQ&?K6PC4x-A}LS0#)UDRJ>o|$T8kcA89%=nRv3g2<FviHanuJj=(CDAxO5fDBF9Y
zZ6ktH=l$nGtM;Q-KNoT=H{u1$lin0RbvB0r>zQpz0v$~^1hk_+;mo9hAAJ3?*flh*
z#ju;%wp};7ON0vBw5Qm>N$F=si<#OG^LqkJQ~rZB<u3oltKKkyTo(#q!I~{wV;Xk3
zK28vv14zL$1M()P7&1&Khb&V{jj`k3=;4j0IBAeAz-|@KGhC9aOqV^}Eg0+grva~H
z*??dCjb9AWiss)#yE0k9>F^?vJK~XAW{oN;>`n?dKrMU@T<YYD7iD6K2JgyLxo9Cb
z0@jYNF{kehl<2OQg`bU^1E`VQO6&V@PThs%vE1X}foH!-1CbxuMS7DQ2IW+g?#Z-z
zT?76+keIUajtBR3#O!#Qw(H|0==#!V4yL{A(6TWgb{YDrG8ki5cd-3BF8A^o0^{xG
zn^f;mM<Sqwz)Z0iK8!|Je}dH}M4+psWR4FlZv2}*=M~*&Ya%YJ-J-%foc15MnDk6x
zRO7s?BQu<RFkO}jl7b~~){yq0)1K1tJ?NHqUEO3{CK{)Z%aWIXdxMb)*mQV@;W2Ae
zJN1&#=wEWfz{sdF7hLmHV7p$R&Jx6mwMrdN!d(^|fQitEw=JMjx4^4UhVI}Km8KVq
zkBvgJJMk!<(sS+mWsENuYns`FZTS?1N3C>i0`Yb$-g0)$c4Jc<o#z4>di=E^HtE@D
zc{KslM|$)b0UF%QyN6@Pzvx_^y<wNddROWY#nT0hq941Vq?(z8Q0A7svK1-?%U3;~
z5-H2h>5f0o)CbzWrA6g9#Rp$M&8u8~!YG@)s(6n8-sAauZ$ByXys5+1exAIxO-*kA
z>?r;&_jy;QlVZ@-dbLN-C%TlnBx{+<J>OVPPUQjVqjj9LheC({R^*!R1Ga!zF2v~1
z@|io$oxw|r3y|%_&#Nu>R8quwaH71Syw-jfZvU+1@25UYUT@~s_sQ4z9>Ma^Gq=k0
ze%+KBPdsU>YIFN;b_aCeOkyCxvpJYI9_Qx$pB3XmL!BVUT70>xe78UwCr0XgSd3Nk
z)K18*II%9*2X`mKGv^GyeyV4EWn`>JHwhC?75Gb)=XxmWHT$>=-(=J$$^?k}tm;3j
zbGb^TS(at(L06m<vnU&jZdAN?Y&5tqF)MJ^W+xUZ7ta4?=|t57rfe^8zL3X(i&q3*
zkAUj&&u~I3xC=Kz-qz-a2h150rXo)ToYV1vRzNrur=(L5rI-75HL!NMHZq8Q)5?-A
zh~oUoUN)aZfW(>*gy&nIfyGkJYPs~1)BDOFx&Z`e?{2Y>D=eZNDzK@YaN5jg0#~2k
z|D?NMjokkE^&wl8q*uNPFKxEPTeX#knTPAay!#DRF8ib&u2=6}NAMvKTHBjnL7#az
z#g1|>+<-A5uD%!GHeyL%44}%j6rIY2CcG3~!AsM*3)2NlXSfdyNI!GZ|HnO|0x`PP
zeKK(Kzn9IUo(6^GA_13kJ5P?j`@f^ppfaCkDn{j;N#AtH`1`N7F9anY#8{@JKI8tY
zsTeY<&w4R-JWEpW29gDgpCl(r1>w_KmoYb$?)J5x7oRh!)ueGt+%U#!zPd|`b%&kb
zc!0X1y42;FRdw+cTs;FYw2~ieJZR>Y(G!6NBav?^bYeJ%W*Oxx=y0y{$MS(Z`CYPa
zz0?b)--21F37uz-wo?b%Mt>W4J}`uJAY_ti)q~^v6T-VMVzL!qgrJ{s=IW^V%3UO|
z?@olf6}8AiTaW!L;Qb;~Pxwi3(n6SZb;zlTC9Y;hYAncb4`#;A4ulgUg2Eq^J{n~G
zaV>;O{t1xrzj=$UV`I+V<K(%;XO^U)7kQZ$4lVsicL37sf+@+<x=CCD4AZ(L_YsXd
z4t!m~=_rfGkC^JR-!{kv>E}AXZO;6_WJ2$28bd7!y(FTQ*?lT1e&Q^)amL<z60HV7
zW_Q=F{_!;ZZ<xlV+kp>CBd*e^!hc{U_w5#57^!{+6<Yc;GOh&otj;_D0pH(NkFAy3
z|Nhs002c0%=ioxJI!(EgI53<)JrI&}lJ2Hu=dA%V7h^v!u5|L~XHcubQyVxdO4yU=
z^0!0&T;?wm7$QHu$~b;Gw91H=&YB58*s0}RWlA!)lxJhHZKe~$vP`gRn0bMWssW?a
zn53HKu9p1L8(OU!i$C)if)`2uGVT4y!r(F~6tmnB|ELgV_%bN!E2fRBtW9Q+>f<eZ
z#qmPT1UU9+!=03DomCY}38BixsV@z1i)Gp4DDBkJYI*^>R@FzaU&kKKz*PM}SIt)1
zNqz?k8%}i<5m7b}tc!jAins4I=^^u_6k-I1ziRCyJpJs%<)9c`NML>V>e)__C>YpU
zyg(Y}w*VkX5B;B;$_NOW>*)jVg@5QV1)U>a+PqAqP>zO^89`{HDrN(YG37_}KmJ13
zfg16)t`@Lg^!}f}zSV5sO;uL^d567bkryFV6<J_&YX-R$XA9X*1CLhYl|N&}==E#j
zU7&C+dC46O^=Z~OaB_FCznNuqZUK14eotJ;1uBcQQX05zfKQ4kV6yR3Wc;sNIaV3z
za6i`u-Wi!IhbO~lYIE-7uGpBxAH4Pqk?IPlLprw(F)EmYE^e_D+cGnqHrPO#o^t6}
z``Z*jsndzcRAhqlBCx5MKq{y90$@B#z<5xcfUq#v@A^2uO!^l5ObTcX1k;=|m(w;E
zIouj??}pT7dG{HHPdKR}c$*W>=nG{6GLgKtO7bb@qriP&V{ahxP|Y^;o%P+Xu4(Bv
zSl5&BSKF@vKS&X`zUH-obhrXHbS9nng%Mc6tF*W^4@9Vn*Ahi0KNj}4+IA$E4x@tG
zwk@^yN}jF{WWHyIruBN+%qqpH>7^F<I<P%jyTpW<>t^**!EA_%LwUQ_dN=Seh@OBz
zvIHB4!2ganQUNAQ3)f_|>=+C)jmj!(Q>*gNp`BFeTF~9_yRJU$44s|E0Wja*;yDmX
zlHUZRbA#kPBqz_LdnCIG#s_2<hEvdkNA(rQ!b<x2(QKPi$NS!v3;aC~lpPno5Oa+=
ze(~qsL7T@h$V^Rg^r`r)%0cpNqz5Ktg+wTyNiHEb%Y4HlZP2Rx%vRuNR{|G)WFjm(
z+*iqTTiUgzM$!c0nNm>t+Ag!+b@Y&3+~wv3x8{WEAuUA$38*<8v&6N+m^_O=wocsa
z543|V3?^)tN@Kg0_TI3BwBbs2GP0#?w*<TzpIaD*E%e~;GC#GDhspBmibZ8-5TWqG
z!)J$Aq}_iZS7?K*e`^q-2>c0iM)wD9;Fg`*_kQZI|9s78=Se-o)6zs-PnCHx!Pt7%
zrH3oHgV>SoNaz%Vl5L}h@B_-bQp)40&e7Co2zUAFUvqJ2YwZ#bg%Q37*JVLUHPt*=
z0R9C2f8+;$Z!Fx*=zk`EJ=~kX=vRQh*SBNh6`Px@I35XHa&#TF`UONL?9;>ObkJ>M
zmA26*jVo#l)@@esX*PqhYF8QqH&j*T=4OKL%2mj&<g$om#UA9R_g010Mfe{OlQ9j3
zBf_NZFPh`_&9&E8tQOC*&W4-&f4`MIyQQ2fS2nNblV7gGE;sg>$OOpV58BR2TI@e8
zxNA7Li=Yjo&?4$&@f|IT9zynd{ny?M$%Ob&UkP3JpEq>u=t;*aUbKf`O`+5R9?$|L
zHwp|KtBfc)Z-05qy%y#vbf|IBv3XbrVlvyntN?jejov9*$D_!2%fs?23W+!^$(IUZ
zal8w18|sQ$=vtcYPoFTBI%98W4Yl@YeYg4*I|*bAfjz8+Z+^+|i*@r$3wM*ds$#*V
zU2#S3=rI%alMCQ5RSx=%GzNhH-kay>fCu~DvrqisHzi^x0%JP4qiMm}YrLEcvm%9d
zb@dp_?zo>?1)o1z+E9jO1EU*(sZQsVoxJzu^CuO20)%TbO31?3nEXiyYcrq)cDCKl
z@x`lWvk3dE|Dx%a-o?7Azy3XVa`@&ygo@r&|MNx_SKV~BR@||2&g!&wb8uueTp>{K
zNJ9Z4=TUOjI9`Ue&o2Z9%Iwy?_&#2dq%IHHn9)a-MBc|#Fw{QC14wPH0gRud!aPSq
z=hk`p`R^O|5<gHY@A9*H(`#ZEhJd|uIOJs?cm8W|08fs-CtRJYGJOYEB`t~cX$rw)
zGC&w-X_DoIs9?QZPVQnNA3zHrJ?7ox!VTTxweWG3@se&SiE|*uau#Dn8v_f7^``@~
zhr9fe{ls3{dA^uxK-6{<lnC)2YgQM<^=$o$X!v%tIcD}pZA#xXKPH{vx7!)t^BR=j
zZE4mPIg5Z2^|SAV0e|y20WyBTvo%g<u<<yU?{I=r?Zm{Y9WB&B{2C(wZXez4x!e!e
z_t6D}YoyJlyMcy3D9>cJuGUM)ZURUlSfV7qaf<0HS|-h-k`IwuTrDVz1Csr)MG#N&
zKc5Io=ZZszH6?TmQ%CvNzIg=LBhN|y(PzGlr>zmH58U^DZETid#o(mUr@}1Ltov)b
zf7x&sKnNzs)Bq$YYttP_<LFMzfaJ$pDJ?*Q0Ft=i{R-5e$??_e!#b``wALxpS(}KK
zTvd#h_3JE-HC$D`q6!oJBd)P(TP|60yfZ!zqMXRRyLESH6L(C1KVfot7(PdehFzV>
zibUHCqn3*ZfnqBY&>S;cfu&B)mv2>aE?MtyTD?3i!L}gjNT4y_x?Z?&4PV9(%2ZVD
zh{v@1_XIA14<qiT)~sSU-vO!`5h(D*%r9$GY2%_7gYXrLsP{b)I4zhpvcB;O1|u9G
z*f+hbDtu!YgIe3H$qORXxkNbNseC7?Pv=m!ULHr;=f)SsK{fkuN!lgAf>QL3h?GnB
znp<oYb~<Qb??LcAXozbArPe103B_H~*q-kO^X>jr<++xaKc&m$=cUt(wNG!3xjyK%
zb|kAd8@^Atr>1IJX#orTzA|BG-2Nt<o=>Qj^Jiu21MANQ`VkA|{`a<DOqkprMj@CI
zw$hQ}+l``9NG_LOpX%l}Uf_K_r&fZ;x3VNvANDxe-F9$l3t_5WAUL~umFYD^B*_ip
zI&Ak^d7EpT+y4B%@sc6qB_SwZ;=)_+(SL{H{-C!mHfkQpBFX#Pg^7#zGxtop|Ja|J
zu^oh61@>-nbfmQOm&(2XI%8A$9Fu))!J<4#@9*BoOHf{1V1>DaD7mT$>>DElc-mWb
z(%6QRu_EEpurjgDXksT;LvH7%q{W=d)IH6ym#`t`h$|(;XSEtVGGV*oF41!-{E3S^
znI<$B`C2SJug<=l->xjelJ-t21dAt5YE*B96OXKviImK)dLi=l??|~HJ+tl?ODcK2
zk-!xeZQp#7uZ>m|MgL3+nT{8N2phzXJ@XwnZaPiV!RT>P>5E)HFYe5G_u7vLYLkw6
zT|J4At4aMuD!@9$AaSB9-gjbSBxqS94X-TmGvHnt<#{@#sa?Oq@Y$=RUVu<s^X@#c
zfRudKI8X^o@tl9aP<i(5^h*Rv6g*aLfAuBAn4M}__f^=pI{l$jnqgvO<!xl_f=m8k
zu`0oF_W6F5OW{YeQSRh#%x>LZUkN1jGPR{xr&&uxtz{+0W@6DlRUot^P;T%qcb~-l
z5m^3z_moT2q<7s79F+#b?j6hL$+U=>B9k^gCfSEVWsN2Vo{>Nsm+-bOG~HwP+|PKq
zgHeALjt1kAk(ZgbNRIH4Bu7dr2Bk4SU_`a>_X0ip9<BnW@wWa|=<?!<QvXTr6%Y3a
zo_9Z~V;k@#-IN7yH7#A-#_Q!QZ0S21H|I?<tHLN|m=L$rW%^`jv^;0B>_0zIgN%rv
zQx%yIni58H2o$lq^3e0VTf@9Amod>t=+r3G5Gl0yZ-Vw>90MvGZrpsb<!3rztMrn4
z$>9D|X2kq=&-;R)Puam)X|ii9HvcjAFZj+oxVO^-m*S-}j@n=c22c5#di9TCGAA|0
zRcb5aZE9ZkJ8Duh5q7s!J^Pq)Pt)nVm#~5#)uwtMpz({q?ejWJ^V__KokbJlv9l|T
zCVBMvZ)D}SWC^p(?i7b9DB~C}oqo#FG^;mtknwt{<#Dmwy=;uwQU|_d1z~9O&a!jo
z?xXF0^ZqWq%Ab{<`s2uJ6d*!o)%7xua`?WYe6rnrJ7|scuA_xBXnoYZX$v3rnJ)6B
z&w_P4!eARFConPF`&<(PUdK+c6M6l!&WjZBV*qxCdcm(3j!4|~bbqUCY_1sizF9>w
zq=7-=>+3?ubx8EJ>PrI0&7Nt#zc-?WxS#HsQWoeusGI)MhWoL;T;Mno9Lu1b(*oa-
z43tQ0x;J;1xZr@eqA!iFVs>-0-lXmSaP=PUaBgqZaGHo{LG*S+@7?H9l!PE5h&CdK
zZiq4kkwlcJNAEqN6N16a5S{3~&M-O?M(^c&&ih^Ob<Xeo3yf#)eV28wweF|UmMR*W
z`_oUt%LNrFK<xmHOzSIGhq*;7Yr62M4DQ=SujL6?VH{;7^oWGJPS#5;xf=dX<XbDV
zc;L_egiW2lI?hA^$SZ6`U(=`I>Fq(r&a%;6dq!vv+=1A(d4EiL0s29g$Jwg<ua5?y
zy85==c^>HUmv@GukmZD9juaqXLF7NNwg)Fs;M*s2H9bdvq%slhV?kCnaOA^eka+Bb
zY@B(eK5IaOSFr(~GTbB)1xi851-iwdT(|*BuQHdCHJE{iSj*C5{vh*6g}I;nf7VUc
z#Fq5-E#wsP5W*5O7eVF(rkx@3f}WY<a{@be9E_^M?ft7&PEj<Tedt8>@_2Il#*uVZ
z>vbIG417X{TIQ1l|DM$3p_6}}`tio8<%W}Hs2t#c_da34Gy1*^M1zvpbhGCg`JnLK
z2Ra;{4yB1S?g_(LXL|3IG_(+DSV<fCWga?M#+qe#{tuO@;$Wy#^D{Ov)6NHD*3nEu
z<OU`8utV4<YMKnLFm>^mf1U=w52KYqlmAJN7F{7*&CPgu6uWl<3f?jjyfyazk57rM
zZfsiFC9~2v>RXmVay3oQ8{YOD^O5Zp#grnP#?=%P$8yn5QOQ3`>>5kzH3eUs4~0i@
z$CSpg=}yii-C*rhgD8y(ml0ePX8oO_pVyf*PfU`Q#dsLn&eC!qgZN!uViXiVjdw>A
zp6@<(^aSR3^|Y-^Pg8xt7M(v^lvrfNWKSn^&DYpm83mnu`sNePH?T&&xX({<lu2?G
z`Uh?m-RS&m#NJqF%W3(4ajXXmZ9=YOApKlUI!EP{^10pgl6Yf57?2@$55F^xf5K<$
z(J`@8p+&3l8cjhWLy0UI`V*)2oTsGmNV)i$U7`CAY683lOPKd<kR^wN+Zg#xr8U+e
znAYIt6V<YXspTtYNa5NqI#|6nOa1#!M$fyf6cDocNKpmcfO%SZCcdyu3!y(Q7{r#a
z4H?-xe!y{?U3;-mcC3N~uvlinb$xbL43gan(eU*eV$MWDo9bTo-J#yEy+vp2wYYzS
zV-#@lU`)@c#;8*eUwvi5!G)P{=Mpx|2UH$Q%CkVfnbY*^BBL*uns`q36Egm&)dKeo
zn|59pi2R1Xcy*AQulCM|-<6+Olbf{shH=YY^GrZ%Hq_^Z`fgPtBgyWQRV&6p>(IK#
zI1UBk0%2x6w3&8fCKmym3&+q*i+p$ZLjqyT>2@~?F>uBXcx}TLIzUk-zVx~Y?=Q!i
zQF_&ZVdg5|EHYGYMlI0|5T3u5s}erun-g#q`x}qVUb2M#Gub$Y&B(e^|L+TV95nI!
zbpJD^*6>Ba{jG%X4=$?*=tgO_(a2j~)AKW*sqqJq8-A$?JP=D_H@j=3oonRP1P->9
z6Xsy?$I}s!R19p0-ubPw`htX80J1o7RPCOyFy8rGemTAS1$>jjj{R#y^g$9L?cRVq
z_m!tLCbPrM-wtM{ynM$V1K87f81)@Q)aiAv3I+KOR4|yWB&IH9=;2?x**2?WXzH)s
z?R{OG!WZ@U^r64A&~liFd~T?Qy})K$ZIUQPC)q3#-)DuIFXkZ{i#zq7k$L)+f55He
z4Jg~UH9c70?n}YG+!IgI|NB}+p+SE|Jm^C9QY5+B|ET&(QQ+fcSK89S;y!1hI<Q4}
zGS@!X-bl*YPRl0J;8n>z6()bCfyq{8()*VX&Fyweov5cBTG~A6OAK?_1m4rk7bUU4
zW5>SdB5pu{%~rCKZc!|SV;6kRwU{d>m#BpY4lgiPd+2>La+8*|XAAUN!x7%Dvm1H~
z?&aGZC)z1%Njm&}LuC7(EbUsQS>d>{kr|8gjg|Ry*Zk@e73)0~+`%(zwiQcAX3~MB
z*nhJ6AKGUq+kgWg2wkY~_spbys6Q{+Qps#pq80dzXMfbgm1RsAQysqw96_~hC)UVX
zOsKXQPlRu=H`Bo?H`zZdjtnWFohpLi9{ySc$!cB`u@#{p;(5bbY=}D4v4}4{QJjw_
zEUo=bcjgY?wt|m|@*<mr+G^n!Hcj_$M?6W6ZVd=UdHWf+U{KY^WkHS~sE?V0KIXnn
zn$2p%zO!*MAqH*@*Tvl5nG?&$w;3c`0rxEb7=hG|+$SIS<BaFnRBh%i>q<1aW_#`o
zR%vs+P(>|ev@SwT;x?zXgP~IsuhEh$Jk=a1ulE(71G16%#=Hu{Gi(;W#&*^|(gy9I
z(*AxuuHkg$*jh{HFAUg`UCoX}H1e};sbI{-O8?#owqP-I`K%6&ERjGv|BWVL=|KhY
zieoaC+;ywvu^NXQ<zIGA=dn)p4#@PQ=}Q)@4zL&|4R0qnV7|{o<Oj0<k8-F953!-i
zw6d}1KiFe-*ZEQW!QXqb{k2^?&u2K5j`g2kIRtX&H4lAe1vlv}judxm6XyJv%P5!2
zBJIkQqn>a720ahiF22aS;%En|6ZpEHVe=iI>K&^6%z2^wCRO8(5!L;x)ZY!X%xGHv
zRd3UPA|!QBz$?A#$NlBLL+0}l%mCcr89$sQmN74pYZlZdFU#;usWuA;lG7Zf)w<#h
zH^>&PV-=gqFq{v{y5yHoZ>aM#Mz`P6^yV&Id@DR*4MrAf^qFI~Z}0hwsmME1^{(&`
z&lEzS<GUZmcRSlggo3V_j0#oaE|!NKecM9me??&K1t$TqA}tEd1h$$D1Jgk$$hoa%
z{cP57Zh!$2*=C-+5I$=$U_RVP>R3DHDMR`FX}`9r@@PDvl)6kp-`6=l7YK#Ewk_EA
z&0`bDvK$Yc=S@x+R3;OIizSVm2OeI8XnF_RsbP3Vo`TU4N?rV3d6WkPGH`w2B2m>V
zN$nH1+&Q?0f+(a6`9vYEyIcNKA|UYo)ZT(lY?v5aNBy82^;gjUK8sSiZW!>bCQ8)V
z^1XmssdI#!JC1c2RU(IG5oJCo*>OBN$`EjNo}C)6%Zr2_0(F*J)od@|#a?4uv=fD<
zntubC>q)b7rBpIMVN1z2=0&Vdd>QUnAJ-5{#n|2uPfro&07BW}2Y#u{dl?_mOJBdK
z44b=J<io5Am_!vK=DXWCbK;c}-)a%7gy5F2UNLYbc1*SK<sHDp<A}c(5BGHotd8UH
z+jQvu5PKBIL_`7xi>xG|aJ=aEr9L9_``F2Lo&DY|=C}adyHpOfN#1hXHlw@X1d1c+
z=u@rjsk1s)awhOx@3f}-sf{s6Qr5vSEwzvs`|9_Xkh7>f?0w=ib5)-E-;1G1e>&&2
zb96~Jce=<<A5B~fp&1kAT_f~~F*ogORMZv@v2gqh-cL;Susd}76pPMUg6}b`V@HFJ
znqreQp_U%uX*i`g@{P<o{uyq%ErMI+mxHJ}8vpky-;gQoxho0BYQmXNENTI*4fdqr
zA^P<1l|R|7!ZiKowS2T&WB#*s*~6ykl}%8G`;J^@#&Lg&v0ea^yTZo6eLt+u)UO8m
zYx$-J(0OG$!CNuYfir22Z=r)F=91_q*Rjr5+s#{X4n6)@ekY?o;H~gTHA*nw2nQ?x
zw;R@J1#awAGipJ9PHu=1yom?RC<`NL6G7F<5umIM@a>wX!3Z*%xrw!+Ji2xI1kK1g
zC_)hC8%#U8o2_?JFiMy=o!7zDQ|XaW3mI=wh4rHpL?2+G!UaV=aQC~vO*J_j3{3KZ
zW{!kXi@T1oLL|h7(?&Jx9lo;WZ`=|;fA5{=Ta2RRTEjbu9cAUrbO;&*soNi;ZD*rc
z1U(>9XBliuavxL1mX*~#eq;D4T5F&D*An{RDRBp3w|AMjh_e0sJE~)%AH;(x8JL<J
zJT?O;c`A^i5O_EdUWE7N6XAFZsqBq3heRvS3Nz*otVl1C?_V$20Uz}`9k}6*D!%3q
zzw=>9bL3W!vDVm4{Jfe!S7BU%n8MBd$9UiuOSLH|wj-x!=woW@9r*|cdvhD$Eb=Ow
zsy|rLn5A|@hJ?;4@~j&2YVbf8J{I9Vs8+hOayMl?_Rbvs(OhUhXjsWB#Ko^vlWR#J
z-{yn2$a0uiiPJDGMN!GyE3TIT+BZkPmO2ma+`Uj3lYBcnP#Vv%slf5v%u!w}{k<Eg
zRmTRsHn1DD@}cbU7cjHdbN!wa&x+fXm^*%rQLe45r~fBL0eh2ljCXIx$<48)bST+S
z^rwnb&KBCX`O=>|)xQzvR=j-3kzBd3gCYx8as(fwTp0jo)w#WJ4bl>9jMI(!6SG%r
z+j7bwsKu*%^z>_VuplWmC#J;Muas!{$@`<YqM3WAwBE@Ghu8?Z0%eyJ(S!;Nz>n!J
z`0zic!8mH{t_XxKiLSZhL?6KEH1%hfLT!+Q=gET&@aY$GqQx&l&9<P&3&%GJVSw!s
z^N5gnYIxi#_Dd|3JCl(IlH<2E;bxT&AR+<(@mhQ+c(1?imdU_-rk9pbPgCEKDSrQU
z2gk$6?B&1p&qflgdOkQ$!!wb<mmkgRPZ-?loI-K1JGylIA-J97)L2^)cgzyLo%r}F
zZ${aAAQ-a}I|29l3<i>)m&I;$h2{gIKev9N7ac0%^JqEOW8NpUAT*UX#=b~Xopa>7
z#~lLL@bR;ijLUD!Z}dGe7NZ9X8>6|h)oZx}&!y4z%8=hLZv-FNL_jxYBynYKuy8^6
z9^x&V+RRdVyP7@cdkW(oxY7Gko#N%s{#b*HGvu1SWU~6qB>Ja3GxCIzm^wz0s4Cgh
zeO9G%7yqf8j!pAL1+Dyorq^h4_k89j_1m1fZ<5d6eVIN{?*J{aJq+RUx&}-geKJ;e
z$}iuMr-|S_JV!qQ&Skd^N8eDchl{}XN)SkZvv$kv&38}OP9&Mm%%a$S^X%M|G7VGZ
z0Mk&xSk{l6=+%wY?ZjSN+~Wi}NOmRsi8b!wbr$}I2OpkXmTLmV^nWw<NAE%=jGR|=
zYbccu=T&8fNzOgzu(vQ-)q}aiPgS+SyPnF!!?Q5UvlpA3Co-)%rzs(%7iQIH85j~x
zpQJGHJ4jZ0$aC-K8ZC1ZYROcAReysSLnAOL!cbW%oY(?KKJ8!_kPq-LEnJUf`{RW7
z2?Ia}%gvk0>7YfP>tN9IdlX=$5^@xE=*I3r+27UX^_#)eU4(koyYxIva6DxDGhVa-
zpWnnA&EI;lw?Ea}pM3HVS*^`gXpn8$aHovo^{JXlE9Y}XboW><9%~j13MPO<T*QTy
z+&><@S^Wy!57d<qE+PNNWV=#HsZs=WxZdzs@1-ikYr2?H&-cxK-%vp%_lZQMN@Rw~
z#FW(12+Nbna<di$I>Nd;d^|jB$ubemo3SJcP6oNTx9esK0A|LK1JAGi#DI*u+mRuh
zN_2eUTkf@W?|N?$P64Odx4@m3#8Cpy^>5m@86NF^I5R2z=d=G$==Y|z{gds1s59m*
zG7bew)O#RreXr}Aq0|I3CtnkypUKpK^3n*^S%?y8xgiFXhsi<LcnntLdstF-Z&ICV
zj$RIdRM}r*rf*vE_n5)Ye0c$cb7V{!=wp3!ZvvHRLRW*s<1jsiwsptzQyc2Xkb1Rq
zB@U<VJJen}3fk*m&0S$<8cLB{njU7e&AE6>;Qu6yV!IyD*F|kBr&OXG_V`6Z5PG8m
z8kmcT@7<*{?!PZL>oG37-2ym>mn@?eF*ktP?8A}z+KMb%xO8fX&!egvWYeM6?^ilV
zu`nars8I69+N6dp9D6r7#8`~lVpn8x2SY~S2kO{>+AQzZGuLkCQ;Wv7vR8y-ItD3U
z#^^b3{?c;!am`M#D>K1W&aKubX4FTr0m(nBngU72AG1;WK}Tq#U!?lcz1|(%_Lf;R
zIv+F1yPw@UD8?KB(Hg1A@lE{kA!tlt>T~bvg+Vfi8jkBDz_F4yGg`w{i&q9G#gp`i
z#-X<+%uQ||G%OI14RbFrURi&u4V;x>42y!{6A)jnUUS<<Jlu4S{^q|e#V^Iz7*YIQ
zt|)SvKtFuC6}P;p+jM~|Afuo@tE>dnphjojclH;Zl!;FK+oxJXyQ@0({~)sf5i6(W
z5h6Ng9c%H@^UYFZGz=`2a?~<tDe~Do+GDvzQS-cIT7UMznfQF|b%Ne$!DHvjA;i{!
z7U(;>jVe3Bs!kgpgL@aH?N^PQ;*buK7V~19R!!$?FDUKDix%ShYQzfO-}EV9P*b!}
z{***BD)8knl;cR+-lAuhk%CzKhEVM!$cme1YkYrARI=?5VJ~_|B!F&(6cSMJYIi8h
zf`q#;eoq5w=1P_aVNm0Fi2evIVFg!XNP8@#*_Xc>-vBBd5h9fu&^8p`|7;diXv_=T
zB*3R$_{Y1!A)c6>d2VvYv8aNzAJ<3~^(bH89<(mh6D&0jg+jOUk^QVKbXhF8v1ho?
zOn|oI5?!cZt=@FQ|5b*hC-GOL%3bSx^s`Ol04Lbq7Mz@J<)VB^G;{;|V=1U(MVA}i
zwD$j;!;8D>!{x`ZM*}-*b=s0zf}+ll>9OhK-+4nc-Qh3Jyc@b-X6OTg{E{82E7$dc
zbxX9%qNVYik*`;EBD1KKZ;it<Uh&LdGoHI4<G~G$i@?O-GC{iM3g$2*vM~2-oc(v5
zaog5=X*mRW`XziOhMeE&ehYw|mm1!6Znza#o)i<2Bw(37(;f`kBrBLqZ#93>%4+)8
z6Yr5@E(bfI1QZrzqcA(xYwiA#(Us2B9WQEV<<BurDX!OF4y>vU$z3s!Lw_>;35kN?
zZh^`E=Fq8n%X$#~st4Y-DQ6_0PTG*qece*x*}hocRsWQVH0*u_q{b5l%E3pbsd&&G
zpfl}e!V_!PCC$M8OT)}m+%y&{fj)+VB$eyG{HGl)9z0UyMc;Xkjp?BQv2D6)&e<Lw
za8#__%cYOh*Xc=VdMd~Rcg278OORuHdce@Xt@sw9#Riq7etlcWF86NG@o?JAKld{{
zzG{irmx~UVZk+eJe1VHPtGO&c+2upJIPO7{k^ckc&Nscmq;=SkX6%ra(+(i9@W!Ij
zvYp*Q72P-SEMUtw@<e8^`UHVhX&OKvEAiM9^H!as>}fTrwK3}fRwgb_SdG_xVtzA9
zsb4k$DVH0-p~breI^eGod&|_k%|M1w%qSmpd%h2PqW9BxC~RXuwcNlAD_Cmt?cn!{
zPDRBVl~j**!}8a^WivX4uxq(Wu{%}HFmislqqL_$q@0hg_~gzHtPI)q2FI90tXWVO
zGc)<XOkQ~ZARD$+oswuTiGw^}#O?+olVhP}_VpLfMzp_w&D{U~4D8#>(=Y{Yz5^t9
zq53;zv#jth0VE2-QMLR1v2iEThYyD<zsH^Ai@=*~VU?2y?Uh20bpl!z(raKg-*KNx
zP)f&VMh5#aOG53y&2b>r2pPJWcIPy42qHdYhYwF&<tPT)#LNDbFskc_yb4OJw8s9S
z<KhGb<oYf;OIgCjtY!oIJ$8a!dYV>KYgVA)at5q<J`xmHUe}&-T!q8(z;Q%v++#R6
zktJ=)+E*K#x|DAXMyPNQP;dW@UDsZRL>W;orWBX2qyfFywgWK*0B=Q);zzeP5(%k$
z@?RK{GG|^|<>{gj$SJTA%+!2w=S;|pJCd-F`);^bd2P%A2>PdD&)}?A4=27(_cP#@
z4e_NQ=x1OOSovBKU7f3tZpz$6xUl&%fXM$AMZ>uk?;dZ^y%|L<z4DZWk#SM2EIv;4
zE|TsicGzN&3F1aY{2bl}D~lmvn^&3SU6#nrWSn>`NKW5uD9G3VB?or0{sq^W*zTX<
zvv>JtPmFD9>^ov9ue`m<g=djAS2i7tW;KA=;hieYP)#XE?)lE;i+$-QW)vvuW)n#w
zdi+5LOzlX7W5LH$tz$ddhNvaHOzFGa@&wyipAqXB9q*M4lV5z}PfA`&BjpQPjLd&}
zrB**nh_3APj<|1iyW{C$=4u{y46m(>#{SCSs%W3{K03(B<r4A@8P5yhQmznod#vxf
zKDMcy;$D$kG<P^mFR4JshnV=DfG&lDjakx~_ZVjOax1_~DCW<b7ZU$Djz3ShQ(l%L
zEcH9DmVCkvOWterRj4%J=kGitMs3{S`9&C6?%6&}vl^~%_y;6eWfiBy4#7P5rN>Y`
zmVIVrkfmXQuft8Yd80cD5o<vwaGr4N7DeXH#@h>$S>tR*<-~&*qOng=HiFUXt*^_p
z+g{>7te6EYIY54{x0)+@gA(5d4eK>LCZvLj@Ro5)ks@{5uW=;K0?UnMjh!#Q67Juy
zw|%Q<_v8zs%1B-Al<{wX!TWdfc49T2a)pm;m^3x;=exPm&3f-_GqG&?K6-7B)@8%P
zP#V|3t$c$?P>6=Bgd;hyFB9rou%pA(fii0)n2n<v3%ldmgfEjXmM~E&?{SS=4Esf;
zcCf^C$p-y!TfFkg_nWM^rz}=pUvR4X>>V^9&Q0ecqtL^n%xNrFp^0`ixD3uh>Zlu2
zNo2wKf#fO-cUPQ6i0{bu8gdc)az@=6zRS5=pPV!6x@kJc`h+i!q*XDMOT6ObHgM1%
z_=GszbO$}-BSO6ELJav2Y2^*)tZTB*And!eTVcYUg3yjwP&OK~zB_MOW|c=7<>1dP
z@6F0IPBR9GmuJp)SEA%NQhv=G+YrQoZ<E(kBeMuB8<tvP{jkicIykob#ChZrXSl}6
zSN9&FfYe#tYCdm!@X79!_OMn)LgUg!`4fpRP^VesAG^=(AQFIdx(>Re>ys~f%DZuk
zfE92YYI7}gAz)kDVFk|=q;=PauTah%e&0w*VZK%tT!x5@5oQr#9Y3mn0+%b$l<>hF
zr*=~*#Mzs4jDP&fNY0cW6fA04w*-^4mL%>4r&kPZdP%#$;uucNjrF>G$0b6L06-6{
zkhXVge<F9-ru&JxMA+Jkzc*0NJE*kMOl)$_lZ{=wA<OE4k|ZMX9urRY_USNfp9nQo
zm;4iEeZmtv0R5d1#EtaN@U~v`CT`cszLn5t?aeV_2K(%xXFR2V*P-a4Uuhzy4oP=)
zdI0sE-JX(bC);CqdQkNM4zid=yAAZTxZ^gJQUH3#f1XB)g_d11#j8kL?C&Nq&sYCU
ztuOI@BkN~(y&nb!xonF*+jZJ=fCV)AA+*f7WznKX_Z72(52eMWABU&z+`=6O@5)(6
zJ_hCzXQEf?QaE*BUwuBl*DuDDOt+I!1z&2iQxKaM|Na%w2u57GATq5Y#SlLp1M^)!
zT!e6<j~@$Gl&0JKuhwv6dS`4>)Ke75t3aE#_+^*{p3Dp4HN<Y_6*N4))&fOj>U=hk
zMw6FjXo~_2^0UOa9${&|xl&z3Ud`iAq(tN2gSglLn>D?^*1KFkX0cs`Esqf8#D`Gz
zDQNSd?FBNlbRGA!ip?$^<^Enf9T1zi{q5x=)*R-(0&G-8zus^DUSEU>DC0M}B29L6
zEH}!o6fQ|k+AEBnZXY<l&p954|I-vkvbNgP{%EF^s_5SSV7SZBx$VZ-?W=Wk?MS*O
z2xw9!ZEk~h>a9GRHMY?tclSR0tge3;3=IT26l?I`XjZ#}r0U8>;oJWn!AEaeW-F1+
zr?!?cGCrO+R|4dPJZjQSaJW~v>Eqc$P4>Zg1@z_1K19g&0t!9N)x=U(c)`6!c2(IZ
z;_M7eH}b41fp-1(pk-Nr!=30^cIMuCEKMZzIN$e&HrJ#_`TCn9k8*=q*z&DY#{Tar
z3f{+RCVn(h=yvYJ+=OJFqYUp$*+WtjK@DQhr}9KaO}||q-#6o7A)5<oJfs8`P*d;`
zDwZ+Cb3|+wl3taQ59z3CDoAO4ia0&{ZcyIE28SVxTnGLTu%k_yJ9<BP;6rMQBb>-u
ze1?V1OV7Wb&mV}YZM6J~1m^UgX<qe^&{GgcZz_n|ANHB@$8p-Ag_rc&2PP*F8;!P<
z#3Y`Iv5X%GI=<=;kfo!$%+xRQ?u{3#ABAwXOZUH?X6QM6IwEc%Sl#_s=U;wIVfhvS
zaPB_v)y!xwM{iv$<r=1mC2O361*G8~JV7f}ZbYn7O+S*JN$cErSNp1hl}2`ip0Vt0
z6zkmWkRzxZ@g+bs8D5M?89H-_URQbPHvy7rGFKcR$Ml{2z_gdSy(6TN{nz*5nt*&l
z{g)uYEtP)6`ChGJ&_|$?jUn^NTs>$+mytVE79K=WkZO&y&$Ay=m)vBbOeqOZRJjTI
zJySU&3gEmz<=j%H*<@Fr0=Mk~op*%aM2FcY4c!Ks8@3c6GO<vuISAW4SmZA5Z$2$S
z`u~+8X#Xcbel5~iWW>gTqzNo|vc8bQ614pk@^j|`C6N-wWa%|rLZY4cm<hK|V$t+`
z+;S-XqV`ZVgl1IwvANfShP5bB#iEKfZiFF>or3sI&`E6i>%#nWe@Gg?{iaN=(i+St
ze}41j9R;aou%`PD9hX#&0&Xb(*E@&&x>j;%XKMShC-;85g#pDdmEhtI>YejbtBD}b
z&p@l1{UmLEBc&*Uag%gG2fRPUqa^bt?opIh-EZ#L$_)R~VxWdMiVdS`-lDp!$vI2>
zfn#F<DEB#Ey$RS@N0;xh(2-T3S1ffK>iEY(?6hcx-S__ag(a<j*IL;8n%IZpwj^o5
zn95WNohCjIF7O?1X9BeK|NDA=NL#k#=u}hKyOWCV?cXpFRPo#K0+6lBo+et~l6IXe
zH}+tY&50aRCyZGi|4ep)C^vnd-RAk?5wmQ)$DlrKBS!|GMA*1h!<doOC3P9)0i#}a
zz(7TG!q*5+Ep_R-ZNMXIk(oa|U7V$wKCW>-?x!5k!PFG5++=jGP0gcilu+y3^I^>J
zFi2y51~;9k(~v{2HAQcVx;grg*gp?J<jdZ*p4iigAu+MVMS+=%p+$J?EoNN6KYVyz
z2iQ$%hPm`9R>>_wqOpK_g0^)Ho9M~S#Or^2>|KFO5zxQYxd>HL>uZdWKICOxyhy_H
znj>s9t8FjqUu%e&7aKjhmv<ezJN9TFkr2JS_v_uK{VQKu<^j%Aes68%=9~t@I&(3X
zMyxftsmKW3ihvJl{0A9Q2J(FO19p!=yd%wO!2C}4ndO+X&YNxkVEloP+_<XUH~Fm&
zAe}SQA(`@xL(I}jbPR0skpWuFkll`V#vQwEZF_D49l+{EXXnDnZ<$H-V?C$kO#g<p
zYvau=!WWeU`512%(4}FCQ+eXv?`aljt*q)#%x`A!)f&<UZ6$*S2Ic()kB*$stxmwS
z%1{m2D5M092=)YedBE1S<iJ@5Y|$Svf>PbTH@hL?>l0-5rkqWwt@2~yIe7+8NBBT*
zXO7v=&|X{Rm<XWG%9*gbtS-<K1Ui6Fmi%l0iSpU17tP42R!J3fY(=SdpJ6D(FQfAk
zx^g#b4?oDZRv3k{N&4Gz6?hdG+H&lC4y+;r25!MetRpZ$XqZ!YV(8~NKA+B;T%Cy)
zFG&o4swQ2bEw<t7fz{I7dK)WO&5YYs+k)L(-2|%V)29y5`dnrdhZncv>8sx-2~yVn
zN#D$PFE+X8^nHh{#lkAwTAsih14sx;uiv<e)DJRV(;9WJBg$)aD^2<rFDN%P7|P3?
z^eabFu4^f<4g<-CBo3{iyZb>5o=3<UGxuvH{Dn*8g9DG~CU#im?$B2y_Wm#J?A%a|
zzVbQ}m9N4(7wX$9N$9y^Zh>!0mR9tw9fZ`WBs3A3yJQz&Lh+vynrW-bRPSKyuS>Mi
z?LYE7L}>OJ-4#~6rIrrafCITv{<F91_U8Y8OsT&L$4kDe44A!ziK82g#&PPKu5jm8
zomJNAPt$7J(r7P*d6=ajT`nci{;mpqv*+wybc7@?l{u(z>ss<k0X5L;0DeJ6|K%$t
z-<EcS3G9cCS?kl(@=Pi|R|Wf2)5C(4$0<{>kvqYLZc>gDTUnAEYp!^Sf9lK0rSBPc
zl#P6@KRHX!3r_>;+lJhg8{M<(ql}p;qOImK-K^>6t&Z-*(&eG9MWKX3Gcf>RDY5nI
z?(>1RsV9h)b++ZfR$ZIh7&*Y|t!Yr}or~OeR<mEiQ*9Cx&)DguaG!9706R>t8`>6G
z?_)JA$Eo!VTYb(sss1;zcghcS6H|8f%3$Bp&IGmn^-|xyE4vezTTg2AEGMq)M6%)x
zcF_bzlnWfJHM*p|R)p8+u?is0V!0;gc;T!}HJub&$=CfQfDx8bRq*uc+eA6Wj=j{^
zLauU<l8$#?G9uHmX6;AlQexPDtK^KQ(?N?V^#XKXJHBD7nh-!JeZts(?#{s|>wF_m
z{tGJ;2U)2?Ysq2seB!$%O+srl0EzWMQ`oC>>&spu^vii=`=2yg11?G8vN(LyWsgIe
ziq!QG8jtv4=!XMs9f`{V+L@=;Kno)#0$kbxj}1{1!BP|L4~?*}JlYA#w~M1p2&GWD
zgD-~iM(kGm0Ej=%?iNES{?-Xcqc;U{AkMEiY1&3cXfbsC!B)q8hXPFU-+U72A|rZP
zM(Nfw>rXYGpc+cj=u^50o5mOx-f@&KJ*Cn6m;U-aGxHKEX&KIrnSCTMjMY{^Eq&)U
z1Hjz!Zzbp@Uy$vo1z%$Beh4a!siq7qr^fO0QR5uO8G9C{ZheigpE|se7NNx*?M(lG
zDll(K$qsGBdGI1m=b&6c=9BSSbmDrX-l8S;HLeDMlZ}@Hd`#V>0J~sQHc5<dn66vX
z<}$e6J^DH9q)#_?lQ%a}`Bqt}2r^^|>lO!p^uNTp?7!59IatD)H#;4n0DlsgSqgkv
z-i!pebFdXA3y(VI{%yqiCd=uf4w6O1TI|;h&I`Vl*-`M_t{-+@&Zy;oX1Q@!^Tqi1
zugx|ay6#)x^vcIq63QW<G*6VfSz~f`(#1tOW@p;5ycnKU4B+Au(&wFv0Ud_N>|ezc
zJ&F-S&#n?*GuDyBqUT&3YxC6f<|0mBKy)%51G5t+hoM?2Z;&#i0FEotP&yqm3?GL8
zw=o7?BH$$U9UqjtLeKWHr?SVsnEovlcj3EZhmezrV>JK{3&3gWJCME;!I_e0v=Y*0
z-U1O1SQY&8r(o{Y^6+{p6+S1EjxFKX!Kx=j!S{iV>KXII@3BYj0#gymsu6gdi1?Pk
z4E_)Cpqz@kbj?s<!~}y}avo=R>Yh{>Qo<S+`4k+e@>ayI`z&SkpiTEM8OM|<|9<^d
zjRjBLj(LA8?It0LdB}b|Q6g8X-lPm_vJT(NN06IN_x8Jkja$$zvT~%WVWRNxY{dWK
z!T=t5xf)jBLG+-|=ild($^?pc6TxMmt?#;}G?OZZM(1%~2lq`JY)w!Qe+0Z*9HDJ3
zc_eItn+5pVo|FIsqS|knIagusQB&eOm@LkE>ZcAcT=!K<b>9w)iMTCOAHeVU?z{cs
zkeZY_Uu)InhASN{Gv}VYl_>XoVVlKwX3?1|1K!~^T@Q7@p+>}&n;65N?$K_L_HcJa
zp*77%Py98}nR8T#hb@1UJ~LT+=7Fc)bnkQLluDfCuRuhBVXdeQOig6+?)?d@aWK?Q
zeO^f4I4fY*ylBZp`i?a(w`0I4o%&T5PtjaD@?@p=lc{w7cE94&j}zzZ{8M4UP>ock
z@+SC;{ClsuQwO!GGzE{H7Y1hiwy)}G*JqWXeq;BFoZtNew2*aY_*kH@f>=@KNo;d~
z)Fr6Q?t38A(T%Ze{u6qH?)wi(VldK{2l9*`u9kq_Dx6{l?KjrF%DG20xFeIvr5p$P
ze&wZIA^py$tq)hjit7`DBTZwINH99qz?=ox5B@);ShnrU^RZT=uxPM6YEPM1AiOH`
zs7x%IeJ8T~8F6?Awej&bR5q{AuVKYE!)}$u2k6KmwJI`)PBibWfon{p*Tyi1)K@m}
zphe6o%sb<4l=kG|Q~K_f^`o~75%2tM1*D5CI;bY%x)d{?pT7(#kPbic4kIM=p?mBD
zJ!^-vkZD$};jfu#SWT<_BbFC#zeA~6tIh`UZ-YO0N;j;1Pdr5NA-_>VoQyR3vUuQS
zrGU6l?afbC9KEU%x2{E5AILr<y_J6~kmuULo26&6+@%J<a60?3pbOe>oKEg|Rn%F<
zvk~`mpVt<KA&XN3ZA?U5y2`W?qSJ7?8yl!76R$gm2LSbZIB^EpgjRcN&j-W}29CpR
ztRrFiYXlM3MLgaR4|0c+1`y$wDWpOMJ<7p}K@#-@R~NB)KO8Of-n7ka^H<R%Vka~p
z34W2NI*(t6{}8?fSFQa0XHq1}xJ%3*MD__6PcU{a86A8e>?VAM<GjHQKOfDITLb0f
zf3o}isMQsFwuHJ=8h~%Lr93xEglQD4m5*&NaG}AnWE&g65YVRv@C0KoqXdv*-`j43
zlz_he#T%e8@!NRGe;Ns(sWo?LOaw>uqcx-@AjrbOmkBY|!j18$_In7E3feKjpb+uQ
za+_~#34{B1SCPmIK0<D7S8$T8_a-cN>vP65_z(OU^&UI+=DrrH$%Ho4d^=L`sNrDi
zyDWNeINiQgr~gx0_wi%D3P}HHe}&R0HsY{1lqKkgSwAb;8XAV%N*zdK9NJ#N>Lw?Z
zmABJ@hF78dz1OSLCE;}M+UFRBp5h;}2UgsFEY89{-+zjue@%BR@g?d~2iB$JHre0M
zXSjGk!D;0@>PZ`*|Ke*0Unk|u1@mxcm<d0e{4Gq!Y`5bp#PWlj$*gVoaDgnD+qp6C
z;??{0YAzS|G8a?zZqzfry$|NQ4C)7NuXi8YNGrtx#5bA$d}ZFAGX-Cafk9`e@crDX
z+Kw#~PzXk`Z>cL)8V%n3!8un#Mq!2UhiLgeF=ZV`g|3d9uw<D<hHSq@hQpj#vX920
zc#iqZRg*j&u|ZV(EzESKh}&k=!cRifYX%b^a<Qx;BU#Qh*GB==HA3B4#7hc$wz@2M
zT*Pc&9=^SIhI`Ma6k)hV@BWgDpl?QfkX~rb1FeQ~lSi%HkZWS?-cAf#5|wN<|57K0
z3I-*g|52}2k+*LaewGFuUkYX60huQqh&A3=z1-&hKWOjXz+}^S$GI->pHmXUZb?44
zvBW@a)}iZQ_iLx2DiEoKtE&LUxA8)k8#$PrZz(Ak{vtp47MShjH=h9|c&SS4j@%p|
zbvsZIrDt!kl)5C+1uP1!{J`CN*SuYBcEG^h?M$w}R8kGUC<c8;YIy8aDZQ)ibl<5G
zm2!(-w|sdqW&#~d>J~CJY}({yZvy&}T>x@RU&Wfm!96E>?^_<2b@4veNJ4j)0iyQP
zOXhzM<0EZH(J|phNX)qxem{x|C!W+#bvB{=g)tnPZ5+-n2G%A@0yiCKL4X%=>9=0m
zQNVuaT!i;uY?Z_rMk@w5xE2~{15>UL8kh~={=i4+J&jIQaEqr9x2f{M>&t3t411_q
z!k0W+=#f=az6B5Es)o+EhAU7K9oCYMCxp7$4#@@Cpv(I&g}o#8-z1G@NrXK8B%SdK
z1+1+F@eoHp$F&1=vs_6LZQMZr<Fl2u;Rs{Jt40e!y7x>p%uT|oo>~m)KdpgSuhtaB
z1R3H1m}V7IDmL43^Q`@Qe31a&KEG10BGrs<T!g(UF<1j~s2k<xU<-5Cwwu&~BQ*4t
zOo((8tOFjf?-6OxmJkli1fe}7W%>=2IUb9n=FV*|vaL~nmf>pfH<Q(fv7V}>cBv!=
z*~Olh=`<MWsKo}Bqc;f=O(tT0*y{8GF;R7rMA1HT$$_5Ft9JR7DfHc}ljm{3h*0A{
zquLi$>Q()W<Clt>X8H5h{4@OlZtSl^@a(&b@#TDl>|Vt^0IX^TeDgyL`fE)EBUUMQ
zXW<$VJER6Qgg&*h9!$@?3+jj`%dZ&*u;I2-0kXB!whKApsUEor>c7v<j^l(9vVjRF
zF*f@sAK;$2cc_n`hBQEg#6<dTfHcJ`>?Y#J=xVqpr#1Sq;@OL@L?_PD`|^1vj=)%B
zFt=p%EgFdRfK9XvhBdv_vQPgYU_#&v>_~v|mDIu$Y~NP$P?pSc?ekQ$r?YC4rA(_i
zuz7rhEpuu2Avk?iR*m_}H#$88oNLCsW#0(e70B$!*c;+i?n*dd7x`iQfLWaRF41pw
z!h`Ahsa{pn*{E2`{91b)B(N0#YI#dR!Ti03ivXM32!?wsE5``X(%?6MWw~^+in*`n
z0mJ;YXX%nZ=QpNQ?p_Y{6zGmDmKWkUTJP2k1|z##;pE(K-F9G0^p91`BkLfNR@9V=
zIN{9x-&=o8JBioCz2BfB-ks@De)^S7S~hX43_m|@o|>dWJOEK&R<IX9q1AE#XZ_rU
zBO6+D!R-|7)&=TCO_`13+7fIGJKCFtpYRYO@|A}o=)zLNZ%5X*kAU}6&A;<IF+Z{_
zIChvL+yBnCso<8$5}nVEk5`HJ2$GI^G2YyeFIt7C%pZ!qGfOgYMq=(T#9;0Yyp9fB
zj>#Y0<lJyQ7Gj3plpNEdoh9+@r7NtU(e0n&C+yWI`b9*WSa@*K@$77h{am_tER)gV
z=w!~;;<xk^tD^hwms=+KO=OmI+Qp0uJ=+}}#b{ccxvqohP6y$!?*eGcn9{9nER%j{
zi=D2wbhBs<!<I+SNVMW_!MGhsMYBldXktp!?jSnPOv#DUrsW0=|CeHQH98r6u(f|{
z9K}UJKtR2%ac_YYKatCpC9B>sF{m}9l8vUXSBpjq8aYON*ac76{oeHaLM(QVcM;Ji
zztj`Ebg|zN3pCiWXrL%>kKU<TfrE&z!Q;@O{~SuZ$g5(Z%e6&`+$^z7L5QnM<3!N`
zVH^+!aeD<B%Ou5+p_?oe!#S5nijt7^dt2*K<2GyH;oBk&YUctCOJCouk-<0MQvtfQ
zH^1GRVg3zM?Nwr}$k2pz0#E-S;zxtwB;=ewW|tO82rFQdZ~k4IE84h}0rs+P)}{D!
zA5Qa!#zvI;;p`BOGCyO#d@XmcHJ6<g-v?}M@zTBM+-|g*j0#RFV*)ZS%Tq-j(2O$^
znV5YdC}%k`N2!NZ<VbqpwW?7oi5xoLaMVRz824?A5d_F=7;n4%vAcDkO=i-p)fvOM
zvg#0`sdL%9?FJrXg<5(tvPTpz=VGh)ZjA&?F-avqkjFTua)3hkjE%KB536EV?fj)G
zD0RSet}Z?u5e?l#H?@@|&;M|D(0AMU4sEL6TFs0T9Wc+95Z8hKUjfI}am#0b*Y;1;
zQTU&z^Y@>Kv!Ig`Rihpb1<2~j_g%Tm?6baUN}_;SqX%VTMkfOK$D%b#4ovKsF{@xG
zfL<tiKg>Ibl(B>eJ41>IzwI>U2Btg|JX1$W#1-h6ISJxja$Jc%*(R##-dX-_?g@{h
zv|o45r*x?dR16oP@YVd8@3Rlwr&%p$_kqcEFeq{NdBOHEmO9*Le~x-!24!VY`ZA2_
zK>Mcjc-Lq0=rzmg99LT4aN}KBnZb!+se80v1T9;Y?DzRA>q=jQ3MI4v#m;A%bhJ2i
ze`?^fw19rS0iDInZUypF@>#dw2{oI2zOt<^3KBMw&l}6)K}J4zs19XJpkV;L3n+<U
z6$xCTeOCjN!O)RUIF$Od0?Xj20LfbP)tk9>AomV6(n0135j1&{wh~|X0R%a5o$RLG
zZd4f)4!FSWlIZqC^dXb!S60`TDy}xF9!KY3l7N7uHko|>qttuHMWI)g@HZYjkRgEa
z+=8BqN0UgQ_aCQv`{F3s-~PV}GwdJ*@eD4kCAch<4>V%GXIRCHiR(9}>9cgOTR#F|
z0^0{+?_%*7WthE|^Al5FLsM3cmb2d7#{?q)&R`+_n65xcctJ_K4~>Q0HTJl%H<h7~
zZu&mhx>}$y>CF?r0BJp!_aiVl-VZTJ%GL|}>zhX*0R`3@7edx5+%ENFlCltUvQ2}D
z?uK-`_U&MUEr;KFzRBF=ROYV+tku~xcbyjWMV>H%UiDan1t(R#0Ys`e68o69=)EY>
zMEu1^OHpu2X3cH;zBMgBgdgtnIH`-c5YwZC$1jSO@>G^`%HzrlxuRFAFP;etE{W*9
z^vu-#0v%t_VJcKr_17}yWgLS(8*D7m6O{313SYpaNXP7`cd>yT&cv<L_j9FYyVKk0
zaCtpJv}-?qHNF2H9K*JuaFCbYWIn!)#20bNL`ekmtLBYThy$xauBLIy#-IQr;C(xX
zvsiwsJPBU8-YBC1q}F3{0=6zDVp;aXPNha1+WfD9p5WD*<61+AXZG4y-y7I}Fr+T=
zm<UF5bm`gb6C-wRRRsP|e{Bcd(S4^Tw@Ec+HntP_xQT)hKTj%g#M2&sQ@C?^?nyy-
zQ!cCQ@u$?BUtNDgU{+8axUZqV3BY5%s4r=6n$Lb_-~@B*<okQ|C@Ec!+J2{pRllsu
z%U;GgV0CPGe@h=z08pbt&QkjfiM0{K*lc|JhV{_bNPdnN&MIf2c!>wN<&ip!!eVY9
zbm;x!MeiG!&X2-+cY7$%#U0tUD><81VlKaR-(yi56fH~KD~^u^9!V+<RdUv%-U^xp
zw_pn+w}xGi{banbSqQctUzKG)*H+-fSggqpj|3=u*160W;?)-ks<7cAy`Qa~L!{ce
z($YE~4U2+4C~s;sDrvb`@*Mys8NGYLh+HUO^QI<?=3R#CWLKtW<62hWmM;U-1YT9U
zrE*jd?wfQUcM^RjZRBxhlo%9m99l$HF6lcS>jwv`OHvX~dBh1QxBmow?L>D5;U@Qv
zgNb7z(0zdg1p%ttj>V#Lh4E?+32goSq+01^15N|&RRXQKu)s~f#&ulf)a2ODYl@Nl
zG0ICIe{$5*<%cuV{AJA}-YcHVOng4Bqkp0~Or`$dW-RC``-suJzf?NLn}%%Rv2fhp
zc&mTktX}s3qkaxDu;hM|gbFvYrKwE-?mT()vmJ!4OHo)(*Hd^)?iP8aTlV->KJA6g
zxv$eu;{%`d*y(@B#U}Q!aA2w00R?fX^g`tj&9HC&*%O9U3K@{lfmEAFEwJPlYBpEI
zhKo^JkoTuzex4{}EoXCAl*vP{Nur~+j{z|gKz63uug%UI)5q}ht!}=e0ZhCtIo7G-
z1@=FSRc-O;pgDAuZd;14Gv3rgdQHGN0EH5Se~v{}5?%5NQ_6~iAaDzSD3k!dDsfQh
z8S%D!*}6VwM9=<tT5QMRAu<-H;Wx48R@sdvad!EBX27tEE^UK7iv?vR$t9GoTE=Yv
z(r?Ot&*33iobywkPQJQ~T;SK2Vu}EQ0YK;PS5uTyNF6~n$5>w>Z=e;kwua}iReO<u
zJO&^`ZMrxkfYP=8D3aivVDW1FcS)1`=e+n`v8)!)qtF4$0(Z1btdDw<#b9{~^sS)2
zd|-lDEz*>~7E{MM;<=SmY|J}7fo(}3uh-tG0U=u)se#hp$kbfNlO=Fsb+aJAWK2js
z(nK#n$g^k_>m-TO2S%X)zOEsOHm@i=xkwLGhxRppODF`JOE?l(>&(jTnFzwh-oMO`
z6~_#5@B~8rJy*^%n{nvi2_@$pzUL;lA%F;zzN*8l{vNy5C6h1h6VfP(XS3o2tc861
zCcF4H{dVb63WchW#?z0C7ok3~Y6mshL=M>b7W@)On!lv7sha@C!vq&xr)@9saqN+2
zH>>4UDQ;ld<+=XFAFJR1p)PYkM>R(yTe^lN>g{4<t-*;rkVma(LaE2(jo2f9!Dryw
zqnUrd{Iz(o%6Q?JZc4FuoYSIEP>5Li)YSO?OdLl|z!$y6vE%CM!jqX`<Z|ZcNqh(U
zYHF0F<JhTeb%QB^HRi&<GM!>|x$Bn2chgOTMu0ERW|;U%w<FkMf<mJY&YyYsfz2Sr
zTkGecLx->bwhueE2GQH!#IsC$`287Mqw^4Regf8|WYRza4ddB=ptnnPcH5agmW9O1
zmGgLX(*ToJaSig73B23nSzcUN?+^@iZifXv^TRP^DP|(|V|j?=d*u5QMn!FXy#UP`
zs76oMhkj9HrV!G4_SOjt46>_?dy}JGz@Qx9Aq7xRJIf+xowR&K{Za;LRh_bJNKbng
z#7?VO%kK-BzBT1MAjVLX6Mrqvk8rFEG&+$`{V)MGzdf2OG4Cjn^mKTvrgEs!8a{Y6
zvzPdNNtAg2^`Y|2Xh4TT9KpTOzzf`dx+B}D?JwL;xo$@zqLv;b0Num9w31ons@BPc
zicd$f7nr)S{`>KP7MS^&(t=}pDO_SVdFHEU2B00XsDI7QmLHrHwQv!P<K=^X0~jYm
z(+_psCVI@*D%TFVvJN>3Jx)POSJSM(U$w}uK6uH0F(&^Uuyk7|gC}Rb{;P$Vw69L%
zsoEZ(Gz+1bPwDaJcS3#B@&)w7H@A5CT2w%veM;h`D`vKX8Q6z3&L6NfO@*nFH>nx~
zF_w;gDvy`u9=r|sYVtmS0}Mms-TuiN<cAjW4mh_=1hUD*0J!MVe$}OKZdH_3D0}j;
z@a^*Jo~Zh}&Xfj&+*FUg{WRb!HCfPxw<YU8skjqnixw8W2b-(8l|+^xbNsMrshMc@
zn_fpL*a9LSQ5Y37?o)d{*$hFSmSo<skfz#hJWIu2K$4TfEJyZX&z|9kWK#fDAD9cQ
znC`wcXOYbCZ~J3#XAl_*{gA=!_7GV*dsc+Gn3ez*!^0EMK{Xh_XM}YJ{TJ}#|D$91
z!II8%x+JTQSuFfwboUWli6i;!%>pD+Uzcw?YM7#;12{_GCr1veaEpFGPE?8BOez>p
zk~s<AQrs)_v=<IYD*YPPPSeD~==jcaN|>eo^S&D%H%q@v^9+?vHlmLmPVHae#&iz(
zzAU&;rC_D?ES?o9b7fCOWUx61W`s1&Bit@g#$3gAw-lr0svXP)Z7)mH6{>!$QxZpW
zF96;KYb??sn6WZ}LcGYKKSPCzhdtMPwfI#oOHdskosr0GOafg<cg&|_m7MSPzrOJk
z?&e5!zot+j3++)XY#Ry8!yENVq09QdYpRiTmekC=(S+2Ud~IfN3z1hX^N3q$DDMg3
zAH4@eT9JeOk80zQ@@4Gy?;SJF5BAC9HjVbMrWH8SEg8xkJMku(X-@zS)Kt)(R3XJ%
zNnmU)((m1S%N>hv6PPLOGywiL1^B9;<KUqCD|RK73i2i{-Di|zJ%=Cud%+EEBaedt
z1>EfkemU?}SriSCs0<#*jqYewh-LHA!L+`Xi~;-@D`~VnCv?-nd3I+;a{re<rgN+g
z$qYFkJ<J8nB1#jW**{bAXnV2_@ot(f-X7oXm;Fss$yp$9<D`RG2mk9nB4cjA+}sUm
z1P!D1%9s}l0*oq9)1)!gfuWYv2*%n&Hk>Ro?nMW^sk@A&N+h^^ggRxtIxW<a5KtpB
zEz(f8uC)UQDWdQP1B+oR)SkfJD9TNYQ+@VrQrM2SEFhS_UUfZlSjm3CS7YzH99qpv
z8Bk$HftC9K0DYeW+Cgb;HU!Kv!q21GbPZI^jDH=18IPr6N~P;VqYq*tDA^Io1(-GS
z>!*#C1Z4=)V(@JD`}G27Cx6Q#jEcB_bg*TgdDIk)^iqa60>ViixGrZ0m8Hv6-yOJ#
zd4}Xq@-tJqGPle7)%i;AyviT6lE*>~pMn!((IRV>cZGw2rAGkL3Hmp(T;nBA`H;pM
z$=HJ^Z>n!L(x%?e{FPg~y7a@Ofb4B|36+Ca<18A>Mcbc`%=XrO<JASS$hntLb73(4
zkG65*P>ZvHpnDH8>vf^rP^tMT(1eYCj#)Z*_)veK_a>Yx{riX6XI+?|$<?HoCRku8
zig;qTFE%QiM(tHIDiK>t`uk4z=G(Nd#=s`|@65P$nZx-Zc*7_5i?6|kTOV5YwDW&x
zHV3S-rh<R02p5`H#U5GJLcKNmyle!VF2$P_X3oB`(>yl|^sIBDRhvn-d(UAalgH|<
z=Pk?411#?hLGhjzeSI^$k|u4_npS<f;%;L5l^HzZ)V~xr_n4Q6P!F{4SkZsYx5#i6
z!G5upDmlk-i81J(D{&|`3LWJ5bGi0p!`&L^Cb*|DpqGnM^)r3>`=Dh%B9GQH-e6zw
z_+|g9mBN$#EhT@4S&1@`KI?wTILfMb@6zNru^2CU?1%FXfoE8AAJjTv88Y1Qwf5(e
z{i_p4zk__2&|J|hbF9+!5BTi;YFLo!%8((JG?P~q;!%RR8=`-&TH1SG-F7AVQ0-MU
zs*(PCX4zh*yGtGOv3r$HXV<iN%VT!{-3uUg0!S9Qi(WO&0r^nJ3n}kLv$-x&Y#w03
zvb@>p0{}%evZ|7Y)F)$WxEaWmfEF?x0&u_A9DPs4wWM*!v5ft_s~O9wgmiplzOwK*
zN0#0I0&I4w5CP~@6=$L7;1~`<{3&DMk=Ne_Z}kN-SldxSCvRCjy=cT+Qxbf4ys*C_
zmR}&h8FQ_}KO`Uq2H&b`Z6#LWFJ!vO^I#LsFi}`a^$`Cf9mQ$tie6J?$sRn1BhZEc
zv~XrF6EQzG_B%Z64y;5pGYYFP6DBIk+lm@zBBs&@f~<FY&HO!n0-DHd&NyS=HguDY
zLH<1ZmWpYK(~6}kd%xI`L~9q;fMoNrr(tZ8iuh>^Mc`jgU_bTrXJOxv^?<B<as;i@
zQDM^tLARc+OFmi4kW{u#9?v_FwSzS|z|`W<ylji2rFcu^lDFpm%GwvvV(1tCdxuPo
z%PGrt`OjZ-Em|VHXE>zqk+?k8PZr0RE5<^lfo&kVnV_p;XlpDZz*PQk7Wtdg!T$dv
z>%ITk{@?HM?q&3eqE=N2B_)VG+gi12k65*LY9=wCt(Mj-irTe`A}AUpD6#j}QnB|)
z#NMArU*8|zeZ9W_fScPr_s4ZV*E#1pm+;=dHF37YnfgUj125ojjE?>Ue6MA}#w@Ij
z3O=Vf%xOQ_l+{ZtRUF8xmrN@?S9O+RHZ-NjSvn_D_k1wGl<@PS-KZ1qg)z30HfMjW
zVer=USci%9hC{SnmJ+nDc@Rly#}#2`_aG#n57N-^^U!pvLH0Ky4VcoaL&g=|85Oeb
z+A)5(0BlX6{;F;~R$6@5LeV?68L3AtY|40h0&pyEQclhAwN%}Tg=S}(R?brW00za(
zWxW{qP)X%OEFBwr75jG#_;i%=KPz(->)$G^$I)wyKeJ|BGq*-=EGKrL{4Y`xk9yIJ
z9i%}&hrY<3kf6xa{@U46iUiLfw<IL{(Ca-bh2A7@Z|Uv{{y-98cWy*Qaw39SYNq&j
ztgRE6E2}R;^&PeXeloyJcJzTDB8$EqrL7Ueq;TzY=aZz!cSAhvNR=>BNU#QGE+jr2
z*TrHzgv}YT=JEW_-fukGkCxvKEqK0K_5=IT8tKDhv?QKhbLdX9#KUyIVwypaEnEx4
zt+lUP`4i^;m|UPGncD>Hrd(DJ{rj8x_#d4^I&JSC=yIa`#>~S!6@heK7dS0p_4C_q
z{S{z>%tNU{TOkJvxRb)R4LjdRd&qmu0mib8V2k@#dsF^2c)g+k8w+T}fGIg+bA}9m
z1Koc6L)8}T4~mVN8Uh8(=?{(~7rd*~{GNkm3d*WZ0#9yIqwQ4(`QFYI(FoHe`&@<v
zbg-EGXc?Ahz&$f4m91PR^%zs{t5th?AkIaL11o+a2V=1lJ%0qCbcCw_K7wbXH{PqM
zW~iwv6fx?n7uXOQtIzi~K`kgsm#cmtl$efZYj2cXMXAbfYh?A>F!Hxz@8MH_#E`px
zw$~n3o%-aZS%T)qeAH^xR+7VR)q1JtPT$vEeV)l;NmfqctgF$7kDiS+XR=;nbO)l5
z{B17*`t#`>!}6Mb_hH9Rqw%|lH7E}Dl<aOL2md2J9J}FNsA43uB^g~ge0t0w=*`%h
zVCgHTi%EOHXC)jBa_zmu2*gFan+N7DEEr@U;HaMBXM_v>f2hFBzp22^X=u5624E0r
ztE=z5xGfJf-d{p22?S%pIBC3uiJQ*H$<c`J?x^2Lb>1%kwTg;+$Mh#k_lYM|k$o%0
zPhKFuP&-;kO#$xI1webA>|s@Yfb(ULl}|og;{ZjipO<3p%}{C)2btO`)0kYQB8|58
zue#^wTJRRykVI^EY-Hwg-NoaSQ(u(C_&BuEYnQ{VBHWNG{7go+jWn9SI-)j<6fi&p
zfdZq}LHwv-jfWo%{6Z)K+kzCgLT<cbqA;!JDTyO?+^P+17j1r_XmIOdb_&hCbtf_H
zC~fYZM#%^`b>`zQ6LVV6W&^~lX7XPBu41-0DUe8{Ib*^eC{I|_kX}xC$UHU!z2uIZ
ziM)K<vn7g73*eqS<iO5fs%cyCvbxbghT`$TCUuae!}bRi&8kOEPWLiDWeA2+wicGZ
z@1O8tA@I+jC`NwbuJy4%CEC}`XJ58i)?C|fM*+DB=p`c$elHDp#H!oOO+U!^-RnVs
zHu0xz#LbJ+H<Y9B!1R3>7Xu{(2Bd?eOa9+8bOEF;b1FpnRxiy2Bko+FcS|zzUF4`+
zZJ~c0ON)9d@#|^ri(qtKveumJZb8L~Ow96h>rn;+TcJndt|k69+zlXACHP(d_M1)n
z?&<s558YxGnX_I6JT)s}^zSZ~&hTi}TOQe)WI;6pvlMr?>a{$mIGt*|<Ro08<8&&j
zJ5U3fToCH=K_C=hS`ROs?)h2X-`QxZj)L01*|>`Y(6G|A*UNz%X|Je9(?N^v*=|x*
zYygHHqaub~ofs9vttH}!ORNBh@Xz++S=tb(TYHxZ1Spj1-f+Hi@*l$)a~UNrQ+z1w
z^TuW9!EiaecQq4p#lGjw)3ndu6N+bcxi^B$dR_NgOZL5EzzYF8e1KYH#9J@xDW9lx
zEMgQepm21Z6=1?L>FZcJT9APb>_W>QDlI{iJ{cGl?rJF@x;8z&<|iqR19xqFByv>T
z9;qHIOyq0AwS2%?vUIsb+2Ga3KT)B}GJ@wY=E9BIj9S?U=e)Y)gQ=Td-X}Jg?ZkLo
zCc&5-w~r0QJdVR02w9BEz_;1}7YEPZ_02X*>qD`0A#0>P4w$_JhIdY7+kkMYKeLw<
zluKN2bg~I%Helpz00`+=o7}UpTY9Mkt=%fzwR`(ie{}Tu81F(s^U^)um2DL#PH*N=
z62m_yWPzE^1;=r5+J3+@U{*uQr{EdrjHTdj-Oq`wyetmQFY8eOzk5FZzON24CJIN%
zi2}J(GC@i8H$;jiq+eDk^Gf|5lVR#Bd?{6g@N2A>rGf)7YvSoMErDHLVmn6~vl?io
z>z<5e4x63(!r9Ks?FOVGrn7}4@eoy)f3z2SWcdU`l)l1yS&bjA-&`FO#odG+nQy-N
z#Vj`B6AoTD$@J6C3VAo(x$<We;9axsJ?}S9*^Pf+y%-ip8+r|CWQ}vY%4WHFdk!2e
z5qV?7X1{V<i{MbuIuh2ZNfX%Hp%uG@J?zI??%*;(DDn5J{Q4RD6Y;2YnzX^ZncrOy
z_jUV&1U4LFqLJ8OhXzLFwzncxmy_iw!``1Efo~s|_<<t#(rNn$%xz4<DWw5z{Tb{3
zeL+B5uin=<yJ(S(7$C1sn*(3+=b}8Iizzrh0P-O@5l(T8B{l(^7}16#3_GXOlntPB
zpZCkFU@`-LSIwCX3Do?vrj+O1o&Q8z%f4xL>RnDw^WLRHJIM&m>tsJRkL^BLBys`5
zs6BnR^yyC14rN<`-p|O-34)_Z(Jxz{q(k2NoSNF=)h7kemfSf=O}!jZ4V#ju<l~>2
z%b*9N3GOknb9=5%0$1@7Kg~iJZ_lJ3SIbE{)QEax;%L0?K6$Ha3}O_Wa;1pl3C^t4
zV@pf@AsrU=^55=xDlWD>TjUrgYV6UCS$lDm{!|x>fiMR~uc_ra%@#m6NNS;SOyo^f
zZOs*lO&+=49PyXTz!{7iT5fur%it#oYA=DJM%cat80bU}dPy(5ADr|`h<?eur=UKx
zQ!SL8`Kc9LS;@o&r=cP)#f_;ZqDjqwOypi;6{FGrEBI}qSbPT#X~PJlX(`lOYFvan
zcfdscNKiy^&>#8zt(-gy5bgTtf8U&={_S$_XJ~?WyUzQXTR}j8MXzrobj<~5|D}^v
z-Hq~hoqaBrv`Pc%d3^v_<HAo=moj3fvGB}9%vKkSWi^2|T6cVGilqZd*X5HU;-loy
zatZb3PNFqNeM)5~MSZh!M5yQ3uh}QEGMdKH-|I5G;#rzKpt;%u6Enas!PdZH>YWx?
zP;CF^52q-GPWloUarxM9Up_7=5U+klmD*0y>K%VSQ*|7l*df_frWbXF=40{@#ZMJY
zv#+{w%pppMOIy>E2^Gys(vZ5?ie(hA0*{H+_{+9$ohsO!LGv?gy?PaDKYA1fxa$Dp
zX2~rUf+aiHWUBF!%j=+|clNlgN<<zH5C{Rxj{vh+-->cPk|NKo)(dy>2hGEd0+leN
z8t^pG14|!w#8Thq`MfEZ5gl*hRuuRVk)(XKYdHY(-I-OzhaoK4#*cl(s^%vzp)AB?
zAoj;QV%Kk(O?Dp%u>JKN=yH=)$3T0QCTZ7X2mNt|pkH9d1i)BOkCUB0cSJhrRHS?q
zGwO0u@|uet4c*IUtg_%I9@Ts^v~WxM2*6xE#qV!85_bn)z29M6&=;OKUn^;)MVquj
zAWYgol8>4!CtB~;KH@BRuNPlbczk|-K0}-<e*El)Guvr^LHo5z=c3|y!hHppo4G+z
z$@u8VjFmm{32i%p>!R?%$;F2K8+RCm<9`2J>UEE2Db7q_CiHh#O^i%tDRtw&m2-xO
z?D>cVHpi>9a|?v>(f2b-{+tO2m0LrOOB&sg-vzBXIQ^~9LKN^YNE`-DNzArMWwLnW
zHn1=CdRq);?B!UHlV=&~Kopk1A0+K+OBIMe-f@3<h?Qf<OGo8hu8(Xu(lQ;8iU00R
z&=D<czJ6VMd*C=W;S(qG=Iyc{%I}g`mqqSCs*UVH=OSkp>OP(XZN0J>s1F)Q#zx9n
z55E-+eV5que!irS3%&t@h~aM1^^nH1ufc|aj#IMFe}R}96*zl(>ek2KSE5?%vero2
z#Bo7XqI!0nkQmDh#*2TaxLrX10EMHBtPSFl4(D!V#@?$5a7Spvme}@s)(_T_%f;(;
znh&}qYLzSrck5!hlKr(dSLCXS@;9>1Vu%)JmBiV?b6~)}-sm&KsmP(A&Q2@&K*g&3
z*)0~;%CKWgR2WTL;3v6n>wYg#<GBo&Z{%}}!&)VNdErO<ORQUQV6Az0<?==RaVduX
zqso>tS!-a#i=S^L`B=kx%e;;vbU!B)(P+Sl?;3bW(6or_F#%d()5LRR))SDMeK|o1
zlVoXj+kT_5n0`Z+-PDUfV|vD0g=6SJ=|IO*c<d}pxEn2s#GTHR&Z~8Jops;CKGMn+
zRqw4DN)Z=ME>O6>Lw3XpOvi+0LA8n<#ak+$D!<ZFE>TE7K2}^d7o17WH8f%$ST#Zs
zq;%@iSO`8yf*P}he^aH|crm6eGFswnka<Yb=4fm)xPF<DxEBBQo~19>&houVGPgBO
zFga<h)xJyZt!I=0ghvS2eOR)>TlF;~X<I?+|2~%s6A{S9)1pPji$(uXKlI&Cb6!ot
zC8q~yW@CZyK5$B#N+8`5yV>|8!V_URf!>VgSI9s2Y;b+9im-Hq*KsXTwVz23(|ke<
z2HDFzNPK6$KBo5j{I&E4kaqFE`(>bFNvXjWhupT(w8ql=;DO%gwvKMK6oTfXS>C!d
z=}|vn+~$1tTFnA)CQZ(%n9%l7Na%hA*xAAkiT9zMo0N-V#7;)GWL8)l9{W|OwK~jG
zMOLfw8<;gL_erQqRwOhd*@~_o#&Y1Kdq_cwWK$Wh(PYUmaXT0_DaB#QHM)A`v*|!C
zEjybOzm;8EDE88}7yuf!FFz_1T2^0-N-|q6tve0dE-5~lwpywu>;c(y?5P>?s#wMK
z(A^^gKTHr8JRM2se2bE2o68FwV;-9E&u;Ee?qQSX-3Nn8l4>=cq=V7<qP?k5+&_yY
z@DA9BAd$O|P5LqUn)uoI<^LKD6H}BlRX0{8*Xp(!8WJK^wlaPWP42ZHM1Db7LSkmw
zwzcjtuO4XksWxxce~)M|U-92N4Hl@}Sd{}ke~-NUjWIF5FdJ;%91=K}TM|2ZgQru$
z=9SuOU(e!Y%0B6qsZ4wY_4V?Jg+ls<RrW8pESNtlD^gU;Koc_;fBz{aEd()nw)US|
zL1Ft7hsPS<rX%mjxguS-Q8i;&mhi1jZ#-5Kn3TZCVq~R1({3?I#>C!_rtIX`k*%3`
z0m+TM!sFoZlL}#6edT28H&lBP)Tsz!#}u?R$Jpuns#c*Oj%?BbU1R6Ea;xNQBGQ(i
zeqQ>R=L@?f!C6Oj;GEWSr;@lv&wGB*%R0FFAYP=_h0=+V$V5m%S>Pu!FmfO`l?>#F
zX0iI!U5gxkJ7vpSYa}x<rj!_z6}L&GlNFQWPlED9EoW)6Sdef&pZ#ip+@b4-eTC(y
zT?fpMzd4iVva_~a?g1#l&G3yV`pN8~r4$q1;OFH<$9Im~s)X2mv84ey!z4LjnaN47
z*VHqUJ~Pcx9oNrmke=sPb-F-TE%~L-q3U99y>gI>t{w3LA8t9)P6OMiJ(dMd7cYWs
zZTT<HGAMWJfq%9ol@s_i`{-r29_-<Mk{HalUWa+LbxIc1ZD{B0Unzdm_srZQ@DcId
zLVk@XZubFdjA_oiY)pgf&WLB}kkWXu5!*<8kJHIkNz>W2I%6VZKn2fKj8HJ)F{mwq
z%2na6^wi9xt4=r!8bS(PGLpR_{o9xm+%!+K@%a41;@PG^hV&<fa*S78IZ4;U$r-kd
z=yW#vvTufYAA<|MEE|@WNy+bj-88oyq#a$(_Op2wq6yBA8$00WaEV@CRU@PGolxL7
z0Fm+c&G3hz+=RASh{!I`uZwv*>mlmV1-(F(iL*znPaOjC2Jk+Wpf@I8&rgOgP4310
zPc`xB3Li8#F)ptQ(Qd%&nL&c<iuOMq_{q~_;r4ARs*#xEEju7MEgut=|1lhG`P-+w
zF3V^*JMNb8dwYA}D=>nY$8q?SL{nZ)xU@m=r@Ngp?6}lLO+D?AnJ#|(S~BgYX2KGO
z^$1IsH0`_DrHmOMYk1&fXFY9~^fLc3sCH+EFa0?yC>~H@fHi79y2ChgN}_8kZ-Yl{
z+jI;S>8?(NnlO23_j&J3pGlV-g78GPRDRzu!e)|D6i%K!IZiq%oY~DQa4)N^K$j99
zvfSOu$`bItMk6e&Zu>ezbeitTL^QH7*_ixUTx+7L;*#OkLi;a>-%I&zg*iF}WBC0F
zL=O#X7C$7QndG^K!oWTuwpA@~TU^O?ETSf~#s?{Ji|EXcmIYkbO$x<w^9+;tti-9d
z4PU2kpul;4l7PGs7LUT*SzP#9&J^Q%0snV0muMsHcapmnpTVaf`%{JXhX<##=5_gd
z=C1w=EP=Ae_TKic0oP(?Wkm*SijL<uGxYpxwN>F?&%Cy{OdV@-9qs28`hxGL?t-@O
zrQHREGP;NgM`3V3cHwpSgSOqY(!{K>wS#u2i$xN0-mUirS`*C{l0MB(m#y+w{~0rB
zsj*r}qqmVhIg#c7O9mW90>-c|?V)sh!b}w8-<ipqq5G?rW2nf2*o4n>JW^bp@SQ8)
zqMxH#$I_EA#}$dms3Lir+xEcBvV$EmkPEL4P6-}38_jiw>szx3JV%@zkgxf%d{LiA
z8jwAL{=F)8aoh1tY3u1ckP1xHCk_!Kvs440<x@EOyolnJv5Q{bp*bD*!z9K5$?NrS
z<XYRdp#nL(2d#*p0qTD18ur*Ae{cUi`)aUP^H!fviw3f)x<=Oz;};5qpQWo?M91M+
z0VU(VDzvlqxA{G;$ft(QHe6W$@v|W>GJ28b{gzgwpGvTh+~f!l>rfw&zqj*U6iPN{
zoPdSh;deePpNXEv@#}cEL|6#c&|lZid!#w^(!2Qapc^QYzgSYtJFzq|P&A-6A%VhJ
z<_f_0Fv|Utv}ji1sU#fZrbA0%#&b5^_!?^Zvc{Uba;pE{vD3Pih&Ff7Y@&Vi5@|Gc
z-rNp3_5mjf#l3r+7~+IuuiHtf$W}R(h;rFqa2-e+%Je#MLyfkpAtRrCZi?IQY7~Gy
zQ*j`o!RIhMxX+AURC~@}qr#Xh704SQ`$ayWu;LX>u%xGQdwahs*GHe(_-7q0ha8N?
zmuXA)XwBZoU9Pj(p?vFZS$nS7W{~mq@~Kf-Ddx0!e`>i&q8!`g*DSyjx1TOUJZ{27
zQxUoKA+5CHoZTKFvac}mtEm8z*aL&6WS(aor|Sr3ChbWAXyx6-$&i=L7$7I#0ZB*^
z6)P>U@b2c?xGt(!XF$fKp11cKx)OaUw>^Uj{^A;}q-i03N=AKKOofjp%Zv7hNtxoU
z_HAv?)V=z0y8Qjh_muXDM&VmcZ|QpYm@N5g<hP)^G4Hb(jYK_9Ve5j+^_mQ6%Ok4v
zILBX^<vzbxxfi;>0dH@2cxeOfRsJS}4Ev+z#ov{lPb>dDb;Uid=(hN_u4rjd-S*jh
z%y;AWdK#6{yQT6Q(W8y51V1Rwr48xggbdmKek6o@l2%(4+AqZwzSj4vhhro53GiHs
z6pokASS$7w_g&upd2($G!N2b%h;x*#|A^w&#HN(sA!t#)i8mo+d*x`Y2LMW*(`Oby
zSy98&D?Ah5)2Dkscw8$ei=CDb`}w|CrRn0;O@~c)f9rFXDnf}@$8q#bpbB{u5s83?
zCfOs|JmN*aRJ8GjPn=%Y&sK15(N}bc00Oo1<dcl2$;}q7{!hrGf*oA|K}7zF=mM-8
zPOgh561V>k{{0ZMn_m$X4&VO`K)ZZmd1)P7xh@B&)wij9*11<ECuMo4snVZxg@x80
zxT*jJPvVj4QSuzfh<TC6FvZwO%H$=tdWQFa3g;lcuata^>-ELL=b(imJH{Zp6_Q%z
zB||Qv+bgeMoj1#~Q<u$+DyP-x19rMpiQtP7@`<GG9Tn>Vdh^PhKy?j)y9D6@rTtpK
z*x;?gLa2&JF|uE&)w6GjqM(xa0iNN_i;7&wG9pg|dJeC7t^sJ}IsQ12jr7G8$ziws
zrN^dTT*gj1hK7wvs>gwTiTyL@C&v6INw}S!u0tK*X8S#ANvF+Q@g4}NSLC_Bhne9v
zBnbB(D(#<dthurKdFZi^PKPh<bHQbc2!2{*L$lrN5*-`=)1E%dorwK?%&GGM{vLE9
z+jwP=+JW!&N=i|`0^BQV8)p!QYu+BMuVjKJM+idBl&QJk_RzeZH1?&xY<53=|50BK
zlG%Od`*U+svPCbv;~&C+B~|eHs%&{aCcS$`_SL<kr=SJsC*E^p_Ocp1Zin{NZ0j<U
zu2s>anz@A|yD`YP3cqvBzX_~No31*DN^@z(Zpr@Bl}k0Gv#dndUOO<)2TRtze_PFa
z4xPR^;LODZ$iv~iu*vr=EA5wnja>rPcoxfpWmbZznnmyKrgW&dE<3Ocih{LLBzTy#
zSR6#|*JzFOeSL%>GT#+~KOQZP6A>0ZjEY#`UMiN=NJ$&>;>T>NY#DO5t|eDkXML#3
ztREW7{Rlu-+J~T$$o4x!bJ4F~$M;gHzzsg&e0pf*n6jWjm)LF6J8(-i8zvEI;f~K$
z_jkj!EM!Y#mPNBX6cmqz@K~J=3ZI^YM4XiRB}n99Yk%;a<Ak{0iPOsXU$w&7jDg95
z1JXuf^?coc0L`<2k|g2MM8v!vpd7^Il9P_-Wd83uUzng0w(PUJxpt*EH#uQ*vr!Lm
zUUn)e1sy#_9-QxHJl(%fU7(1q)fR&y_lj2cyQ<H>zk}lDJ8|HvOa$lp$9iWv9N?xo
z1SHeV?j^$r^T5yzdLQi8?VcIUfW)|@VPQJFdI~;10`0KKGe1N@8-)-teK`ZHq@d@p
z>utUiG6TZ7A@P~zGpC>CsTR}p=j4Rt+znNcd?xW~krE=qLg{61Jgb3Wg7T{sqq~-4
zr>vAjk*ymIj_g^1z@<2h#3}KgZ!J)rtb7J(*FJN;)h~^>sk}8R>izP9)JpDvPUZ4b
z$l3tM)uW^fr>Dd<H@N*BZ8wNFO&q~|i1d1?BxT9Gjn$$U;p1r6vT=5*w)LdSx?B9o
zJ>l7YciJ)GAwfuO8&jamanUwz8s);eSdua?I#yqf>dHV2<wL0{iORB&r8d-GNBW&@
zn6@>7V0cZsS#~ntcQ>O}Zf`sFS4RlmT>l_@0*|-ESgigd{A~`;hW<!nImdtaZ1vV{
z$-I?&pW~(*KLX1Nz)n(f-d~jXWj*use(;%^9O`w^$@nww+YBYtu|wC>jt$*`Fw*tN
zes%{58+o~6$9u~Md+zcZw#ry=xv?0o9Cw+Lcx%QW6r*L0+qFTic$>fJmET%;t^x%w
z2+^|68H8JEoztC&FS*?AE*;tKHi*O|hB5}u!IXNOB4o4VWeOY(JEEh#v&{ELNGpF{
z>PIT;G##{ZDS>4X7YgXwO#sV<9`fP8`v8<a#ouTBu(9GcF)`%3vB2i$sKz*Y_p+(m
z@(>`#JR|s}c4L(Q;Jjw$fd?9sd(YLFkDKLjH7=?jRW?oIxpyd}9w3tm+h==VxkN<1
z8es%6S_ed0&y)ZScwl4_v=4h$j{BeDkob@M@dm{CBKX*IejQEFTd#0wxSKh<v)K~=
z^Uya_kwQlKffWeBvpMh+9$=8eZI)a*xJKJ8S?j)k!?>lfvDdJwS_#A+uy@*NYf-zj
z6rOR=HlZoGUn0t#j8LJFXk`Hdd&3Z|LGJc>*9~Y@F6Czccewq5Mc59l^jJT(>LV@<
zJNa$K+<Q2GMoB)_3$O0c))U9Vco2!x;eFbMw@;XF8<5UTWZH)wS1`nlnz&H>rWc)%
ze81J(E%{|AF;>1bIE%LGTlJ-<?P?h&nS<I41FEz0UW_})t3rgMt88Lj><fH{_ng^h
z25%?is)Ek4Eg#g4Xy<O^3Kb|6s}S9_c0FfNQ>tWlmk}53yOkVnYkAS3avozP7A}KU
z+_4rel;@q%)$hfiFk0nVln?uaoW|mUV0V{J28J&V(UsSedQPIfo`GPCM@h=}{-ykt
zZ2+rRy$81Ex?oS0_eK)nzCM|E&XMK&TQ{gkn=6t7{X8_(nKRJY?=DNTN>ZV>!7aAH
z{Cr!upiDVmsruJt=76BLVwCL6%l`<6_fFK=_W2KFXea#!7nQvDDQSeR631=PMlS>1
zHlpdJ_Z1?BXfdhvD6ZMPG2ZM`w7~e>RR?PiW=f)e=vevpnY{X4FA<!i*TXga^DQ<2
zFVJG%E+3&Tl&trC@LWW(P#?w>lm<_RVnUUAe&4l#ckT`Difi+_KUW2ko=k_y+qZu<
zH>{Y;xXGB1KQAB~<1gW1rOz2-s7oAwF{en${eGpT5eD(uT%)flm=E?>smkKjdu~JN
z<o!akrih6Pk`%WO<e+}qJLy}uP#(|Tyt^IsYgS77fqf+p<suU00v<xD=53FMVw&PG
zei<0CIE;M;M(qVb6a-J8EKP9Fj1Yv&0`JG|-M>nNtKMuLu>Otbsq$!cYYsB?<Di0q
zIhOPf;rsbc)y-kHONLDjxhctGY4Rg%%3r6|AJupusoHYP=I_CA^J<K;F;y`Ga&X;<
zbLnA_K3{aq$0AMfD@&bKi_?nG@vxaV|AP+1e^55`tau?_IB6n#(QgY^q_XA7JeSv6
zv!~Sas+jZf8{vDn)T(R3iJohoy?()~Mqd#uCOXg@3E`g$nki#&&l)k@Crxu&%dv#L
zU&SrzoyiVR`>8Z1U%N~2&IdIf7dI;L`1EC&2m0^%V{d+%uxNNR(?>lM)A=D5`#xa{
zyZrl&mO-vIcH928CBKWE?e$tEe}8QPtH0Gd$HEcOD=+0MI3%ic@UYAb%o$6n{343q
zqeAwJI8WrVj{0k7fT-MOoQnraa!}s<QEKLfM0QaHH`Vt7_k^n!oQx+oCt!`Mi*EcV
z#N&)4ioRpiu2^4CZf)|h-d`tuVIs<wpb42z;gsUwoD<5Ht#gy81@zI)RoPd^$qCkS
zoDM-O(FwRT`5Csb2(4@ldh>EnnheOsR+bK$Q{wCtVHy-LU->Vv9Ze4zu3R8?Wvsqx
z^ux`TO~*!|1s3{m4|aF}Hjty9os#%n7)NYIx?Jm_xW34C7RmpH!Bb+9u2YJ~f%^&{
zO=ja90>u}QHryNC*9|uyZr%kl0-$vXcr}|kX=w+n_}1sbh7#4cz4vv!S+Sy9P^o5*
z!1k-77ufe{)sc^cSC&bi?T*+lNy%oxc3uO-_Kt<4t~vk?dI@%-9CZRBc@Y}S4@~Jy
z2_GjW1>!Jr@i?M75dP?>^#LZMGiDXx<mOQ)CgQUk7Z4l_TiOV6X|m=FWdtIoq?4yK
znJpfm*2eyudq#*IzmkEBwFUomp5NK4{bKb6+LG)|M|3ZOe+6#k0&NB+KM>JZc)oKo
z6`M75$<QNUITD-)*>}D~Z`<*HX_Y~ygEoUj-9b-E?~4uIJV5zqp*`8qu-8aE!#FcP
z9PJIbSa`OY!+RA8TRnlInFf{TFM+pUzzSHJx8VpNuDx+1k?V|UXCl!*uPkkqKwrr1
zo?>K_2Y<ZVYBL}H2GAatB*A_=P(j>U9InEoOQUtY$Fy!9wp;@AZr-ZnxwOHkg*8L^
zAZWI%G9@HUWtGvJI-FthJbaRT=Ni1&5uxneQ>-s|A0TL_CWb;8S{?Eo-HjMq>3bYe
zUi>|&dpMtLKS^;M5orO0_h*^<H@#`l_^jeHMPT`vPs?s^XHzd!c}a`dy6gC=Qpl*4
z<WA9t#dB{PmX!bcrkiDEGt#9RnZ$*1@sm3HJil;q@OMk`{c@jzS<@NVgsckpp)gK<
z`IrMYT(y5`6iaow!GlhN+s^|p87N#pSTOc@3AcSeV=`Xgs9%e^Pg>gDo8sDh*mZh-
zKBsNaA!)m)@U?gp4~M(`ywF%@)t3)bV~5>j?1zLK$<ZCZ#LKhkZZDM_--Yb^iN|Dw
z`d7`Dh~r@)uW+wWDi2i#u_pfa75wfjrO7r}INRDrb$+)u45tod3})MLSk4(OVF8dZ
zfsdIWStRbVx6tn6iHo$strIzcUMlgG7DvuBbkGRhFtA0{psFs{d%Nbx^{j2*l}ndS
z{r>@L4)w8R?LS@Wx#z7$OWnD@{~n+OriSE3^~zb22V=wS^`2=LuW`dtFu*@W*QZ`m
zB#HJ??m9~79vP7rk$X})9+Y>mmzv4u5h97M;_9aZY*p|o5qRr%&{HzEn0yfe#zIIJ
zKov0qt5gCN^VU)%6LD#oe_4w!{PgWlqwWo32wWmU1FF_Zq!sf?9>jj-#){;VOSo@n
zSY0{D)2_aHhLV?5cuH(p=vEqI&G3BZwmw}!d>g6Ju10;EF9p&e4d3J1=F+M%;cu$(
zDG@r8+%9DA!xStqZk8Wp3^w>*022PKaXwba@_BOxtf(L^3uScQr7aF|(bApDo>jiS
zegfzezUIj&1Dpx)`}%<Rm$ROYZZ%5!rCxB$4~@g{g(A4!wia9$z}sHj!K37uV>qr&
zUwB6g=wkx5|J6)9bK{#n`9Trzf&LFEG!UV5ot*s^27%|$#Xsi#H8%AflV5T?L+|!d
zmoa59%)^?I|89s>;4_sb9IS^lTCyaH+d!@9k*#0etRUQjj%RaMex_J69T`03a{?-Z
z`ft~W)knM`pjQ=jiEnzD{4I%wTzyznIYkC0Lmwg@)dL?nBQCev2Y-2l8o0ES|5t&y
z@ST(Eaky7BqU!dQ;`N59^r@kV?^vSkS{_;<X?{6_cd7{4ksy%h!tyG7Ht!~{AN{G(
zq)ojkx2^4YohLItE6b)QNYfUBZNJ;xQ<>_CHgmZ-ZUi7PhB8_?PM^F;yCRsk`#5P-
zgX~H4y*VQ#h7-O25hU+IP-gk0l3vPeqQeQE5z6K^JX?6)rf>D&gU=OVhTnr`H|t>A
zci}#i@S37u(eAQL@$xq34MgqWtT@(ta#4i$PYqv3+i+<Tf0@x-e6BuQJroi-%a3}A
zP$WPX*q16cmh)WMR)3F81RZ#e9jt#863n}4o$PW$iz!EHd<54bi37G-q`g5E{uEX5
z_5q>zX>veWZS*}t6|(j+UYWnfAhgsEl^t3Oek$D_a4k)UTt2;XA4tYQ>x`KxO<=Ef
zVCnn1UIA;0t_b}Xza~aSy(Bj(cc<*zp3Br9H4n3&`#~oS=XbVR1gkc!5TWwJF!xKa
z5HRW)s^``JCQKK$8TH;Um^G{#W*x{<u~`6bpbrMQVc#SfOGWX?g7>firtNCzGq2P=
z=+HA}AQ<y5p(;FuaXsyh=ve3voQ*v}F1-xsndf<1sGMUT^GbepKJMAM0-Hps+;^Z_
z;1hg<NWDwYR=4=w7YUZ-UsgeS?fnrfY?Wm4?xa6A9UhdPLv;A}(?R^ig)~?Tn3nIq
z&lme(zi3PoY;~>9xq^ZkkPTm7Jj}{M2i9#IA87$hfdc#8d?t%D0+mz$H!+dC7)Njc
zVokF9_(>lO{=&kGHTAdUuJ#_d1>o@6Ehe*Q8D!sV@?fs{Yrvy}%kpZh^LnDIZ^{t;
zWZ-%F5EUEL+Dl<#V$*;6-k`s>S6;B1cruj3JNr@;3J1VpNU^sOvCszZ09@6gE{DsK
z;HnSJAKkbWZWU9Z8z0qviEjnEH2&4-xuiZa6K|#gu1p4GG;V%#a7JSmZiSS8wK{Mg
z&^@FAS~IJ-{^%IcL`3XcKXIJT0~DSDO<HmVGO~c;iX<>~k4w8-xaz90FquGyMw>fF
z8e+P;Ck9US$w$yVwJH(f1$@MHq5vfIHS^48oC)X&56zCf%<k#o^lRB<1dkfjLwEN!
ze~%9}Dw*`ud4LX#GKewWks^PbJq^sR3*0!>Mh|-07b8MUe|NK{42F^(S_E1R-W{B-
zUF=gJqmhJtDhMWHjA0D+;3wKSB)-J8jbQP9$FP(QBQz&Hz<-m(ydoQ2?Zg&}hyavw
zD#$Z}R1%IAgmNiC{Fk}5?4~Y?hu<cW@we%eF%*2}d|(CzyBYXYe$5LW&m0_abl_}8
zVji1B4@E55Ib|T?kIfrVu%#0Bi$w=yT^_%iro(JWnbd7+1n(E9=bkfDH{YlJ>$PR-
zL5otsEh|wtvbWy47Xb5i!IfUU>?y|?R2=xO#Qo;+uPY{QZ%0;rPkZ;b<8TqtyUoa&
zht6nYb1x)erSDe=g|8Hx5iTEsVed3qzFkWmi=pCU%J|VW`{G+T%anv3LnSr+H~Mu4
zbomS@4nfCQCm+Z$nJPM@gR5(x1lrOomvyDI1FRQ)R)Y^J7z&#@g<i(D34I=)?sxZK
z2>!MlT&>G8xjlG#DgBe_U7<{abt5$`GwD()?YpmkZmd3_6Tu(L0irYTL?XyIBE=Nn
z7jGMG7e&C_S1e>k=N6G%q7!i2?}mKTo3m7GH*oeZKYMkHD+g|>7{|;^Ms5INDN~C+
zUpIDA7T)v!dC}h%X04hhRyaw2vCcqT=Df`3=<mX`xNvgkuY&vIdx)9O{+Dee^Llf)
z%PZ#FF304!*{)cqImVy%s%7nRBYz{xjL?2qF<IZ=s*c0Gv6FIY$PN5t{DfM*hVSkN
zv5HyF5Obgv@hFluBoB_zc1hh`YoFy-G4>R&1ydh|C}IX)yP%dNmKbEhQyCAPO^)|1
zRo;uMV8O}ziUV$qhfnYnLIi#$!d0UlD!7u$X0NnEMYWUUM=z@hbz<MR10!qjuM9Ck
z>w43{+>c^KTq>c`yEOcJT})=vk%oH?d?o{CHh5`lG7u7oPCH&It}mVxckpvZsa00b
z_k&PS0Hb4R`TdsfT<}I`W$LK%KVein{dVH?Anm(y@OG}r)95zhUc}yBMu7FH9!rYp
zii1T+pBlN|200ar8xh5Em8(;giaKY5x^uHl_KP<6fj-%$VLr?VF_02nowXMVF!R85
zHw9$f-fcs<L9AT|j2HzFlIQ<LNH(hvtz<(Cz1zZnj(Zc<Y088-IHjc??Q@k#oIj&v
zHhuNz$BmXA;u3vPM7>7R?~XWWi<j98ZAViF&H$C?7clP)jerA(AySuml9{x5NEZCn
z^F8%Hhupi7SXUCJFC?8|nlUYJZYV4VRSU8^ar`!qzYN-@7R0gG<g*Zd$i(6tQ5VBd
z3JXE@Fu|qKE3E(`K}P24@Gn5EGt~CFk3>Fsyjd)}+Nz7JZ}LM(-zD6(G~!9+vs}7u
z%eGg&IbT)Eax`(<a<d6^j?Xt&r8xX_D}8>`9A)Df^!S=wcii<czYhu^zmcC)p;wDv
z%NP6{o2V~p2qYcGgihbN#6oD#C6pG{&6hZgbeY77XTzAv)Pw#x(`ElO4;?(M(>*Ma
zbA6Q)ny^&%<wHsMY9O}K#IkU3k*(Bk&5TUj2Rk0L$Jq%q;TH7n{nsnEdW(-~Md?7l
zaZO`9nz{>eQk+2<*-C*VfqS9^EaR`^u^>klvE3D396sMt>YTQWwmG;ofZz7cQ)T;G
zE*&nf#@cv?<9MomkKk4k7n`HwapkXhOkX}{dbKz2I=Z)zpjCPKnEf`-t$Ia5Z1-Fm
zJa;<V$x;xPDu$bhiJC2Wq2tw}vK8v6?)9bEkJBVo9(d?jGd`MlR3zocZ815;e?7gx
zS+}>(pRz$^>)}0?S#_lXsp;)t7mu45An68pF#y|N+Qj7nhmedimz7-!U(4ise+dkb
z2m2wLk$(=o2-=Ln|7iPse!D;WecN~#()M39!jI0q-H4a+UeAgsG?^~zwSG`$$>_f(
z_X4@5Lf#y%wFjEFXqJDtD%FSG^usD@b%tt=*DvN(CdbAcaX-@8P@7Hy0}96~fE_Bx
zxGJN%v}YEuDiGv<@E98xLwH0=l4!Pg{d~^YJYbwJPs3zq#OmMjI#0uJ^2S+n77mgX
z=W1T}-N}%V^ECaTR)4f9l1W3s^b5MSt!Pp`mlTSw@na?~S~{ZBUG1I(7c9rnY0vT3
z%u@8SpVdreCt?Jx{hR(}H}_5mbRS^q!oD*d2Qoc=Qxc^jQh@f&jd_l0fuuM&{Tf_7
zP3b@qu{eJ)Uhf646q;(hF(0Agg?UTFvWv8nEj`_m{s7A8OEMs?r}-SWBEc@m6(x8e
z@>`+h@GwMDCQ{xdtNK?|w9g8yA6BxRsaeH+3l_JXBSaEfe(bf=B>AVslz7L_x-vdA
z5lx_mm_zcP#)p<!u%wBEib!-E^VR_<c07ZT$BRz6R+EmY!sYf_3C$^Fd}@zR3GiE-
z9~=pohILNe4)E`xBKqg`0JJaje`sGX4ish?CI0KDhT4CRn>>f)hNGL~c+w%-&omg#
z2I8QaXnY^P)E4L{`+EL;rw)=m?DfULj&*Kfwl#9iRqdBSwQGAya-8xKj{p`2#`J4C
zqG&iP|5klMzkn!FpGt4L-brHY8$DM_zHk#0L?S9nl>-bgZdkhgm#Z={yY7;;uqLNv
z<Fk?}HftP9)K<_iX;ioswvxRlI1U{0J6XtgOjhwRVHncGcQeMx#de@%zTGMb@`74G
z!ieipFX=(SMv1phMMKJ16!-<wttfC)+NkTY*Iq9+P*ZJXAZsW<RO|7Yz4D6m$GyR}
zq|{_1sijx7&FWvc{2{*`w$?9H1!$ia0<dH1)C<P=Kux?r1(PzJ%OQ~$5#Y!Cr<iIi
zMlCyqCP`Sva~C)ns5dMpJquo~P^nz3?qwDo@L7FMHtgTtl<B}8_0}fg(zsA7FD(Ei
zDB=IdIB<YetR*dKt!ZsQ0m<Tq-a|W%0XO|yy$3FbA}Bu2_1PU(i{$u8bQ`GyD30_w
zJ0aHl_iAg+Fo==9aUrX&Yf5V^9pk7BoM(av?keLirC#K~@rG=o_<a|w@2I>()B>CF
z3WE_P(K|eM@O$h`31i1G(_LT-#V%z0@;3EGw{3;m@aH)4U7Ad{C80Qvu`a9LmA;u`
z0XL^FQ_FobIJbg9{+_DHE%yOZ{nQ|^q;sF!Kw6u3k$2+uH*zDR(bnCqg_Rla<P2-t
z>VSJdXLw60EqiRO_h;X7bF)M4^}8$e1mBgOh}zGFbU@5kZ5cKH+EXNRsenj%5FX~%
zhvgXQdcPFN(*ffhQP08JJ^|t@G(5V1VnC?h3vq5KKnycCo_7Bvp=qux7L*^ljQ|@;
zaMFF-hP>T>Dg*418{tHf=D#xP(?T}f2rw<v1hbU~(K~}K<npElLxdgkqq3FL$hko-
zx<JHiG$}4OIX1X35mPX~A)f{q_lz|eNVnbt2}F;-pu|s1=eu@$VW>-KF28QQ4q`KF
zNJBJuo_09o22{=093rHqkxE4Fmn#p?SiacJO|+9n-_D=DnelPk*TFS<>Qu<4RH1Yi
z>5TeBDh96^KDEZhW%2|kgR~@TAE9W5S0D60bwmSi7?ASfmk?x!l5&!f`1yWsA}L84
z_??%ZCCNMFzrDOn^~u-(5~D4m<ak_a*$=jhc6?L(u8*(Zr8d8TjUShh+#mX-^5XAq
z*BjY(B|^Es-Vm;Kz^FR@oTIc9Y?u^rwtsrcv%ecr+E5!(U)k0@dgE+h@zZ;)IbfS^
ziQOlR^?&oaKF<hWMa1BZ+wP!lm}*DYA@5&U?7}pZ$8=}5%&SqAzcoBjGcjN*TU<FY
z6P9u7TJ9x7-++0MOaoT-O+gir!VzkOle$|sdx#f5)+x>w?VkI%xqsIC>vSIVSY~;Z
zx%5Q0TEl7bul{Rmze%2GL{7x!Na#LW2aCn7T@NMXfdqUaw>9uwi*~w&Me$K}eSMB%
zu#$}O(|>l)Jb6F(WQ_!D`_{f4e-6b1&7}*c;h0pskiVDRlJv=}U;I~diO-K!pd8>Q
zZQ|M9=A`$ZrCK9;pK}>&+JhJ;JI+x9>I`6H@9)(oOJ7119DH{%#0{5*(nAHtVP}Q&
zZ<6J(%(@=w&*i`F4Vcc_r_D#LiahDz_zrlds^|8udNr*_&bpR@wqD)DvE1HvAKr7<
z*fn&LBYscBRdsKB4o~1Z`@U>^>MO=bekkuJk{A8~B5waa$25iQ@3{x#N(`Nsqvx(7
z!taQ}nrcgxrC^`-ayZQ|8NOo3fMvw5ZREnL=Zgp*)OwXRxZg3ne2aWQd^YWAWbNM}
zV|}!&J%_kjtSES2^eRsdxCaPD0jJNH=M>cRQbDK*aSu1cm-4iw1+^19WXDv9Bqpa2
zweezF(QmYXguD4s^rKH=g9kwe+JQA!-nu4y5MC*5qo{q5w+7Po2`_bJr1riw%r+%s
zMF(Q%XMe}|m8?o{wbsvjVdtf(`;u`J+xVE}q!ZIW;zeB8<MF-S@0s;&&P}GQ(^RkK
zOLFH+^y3%<b7bwmD^@L5H{Kh{#LAbI67|6oTb<(05h<)RX(XkO!JSh2kgzxmGs@x_
z*^?h7d2`#ng=8q+hZSzm5RN*_>!`+=K&6iRx+ff#{>#mG;iZPNlOO1ZIy%iiiQO~n
zI7HH6VgwE#(KQgN$h6aeULIG^1VJu_XE=5M?yL{Gdhp$E@HCbQ&AS$lP!zq!_u7#0
zwgv8wh>t0vt1oWgm6i8S<;9m3)}|f--9N2`cX1a<pnA2T0I-SZV6fSNm$!{4Lp`JA
z-TJmJm?RVfmS0;XOX?1Q{eFs6gKXMT+qWNe@dIHxfnHw{x~2)mOl~ScIZGEN&PEoX
z0m=eapv4bjN`u()*ZF?zh8Mp_g3UjDNuW7M=$yNK-^sq!l!+;WT7I}3Q+nFozmh}{
zuPsxi8^+ln!4FYIU;W02s5Kx`GCTVhD<0~*A#{3q5^ni$Vt*HNN?H{dz;eUxlv-(j
z>Q8j@m^;E)asY%2UOgW7#cvNM?J5i(VNT@-({}>G9*l&8g>S`aY?}J87EzT#9PrlS
zb7{S^jLhj8HFAG1`nV9V36R#!v>nNDuKJg5r*nDns7HGb<W&Ef%-(dg<I;34{197s
z?{-Us@x}baFYhn;=HFVl*>2$H_vf4+50}J0LRzEJ=7Buts%6RGOq#NAfF7^#GE9j<
zf1N4Gn_n;^)<aP8_Q<v1I}lA`D5DuT)}q+2BPp?LvAyhdew-+8-ZFoO4OdKL%w?04
zkV}#-T(HEZtaRgH+%K0gWPg@8EaS&9pyWA@ZGE(Ur8}6NNXWp+8<7$=UJS5=QNmAW
zpDuAenpH<i1q5`2ob>|EA@ayKK#lT0*4iM#j}6Wh=|<zi?N5(G5le4@6DGU2Z=2Hk
zNrf?P;0+o4QNK#u)tek668ZV5NO7-l2fe%S8qXJm^hYR!#iu0B4jBIgc2HVpyLM4K
zt#d_tYiYg0aj9E6?PkSE>)UI}-Mgs2daMf<K4~$ka)pmt(bh#gwxpJ=YqjA5M993_
z9HmJP><C-OxGoA2&_M^58hX1jO#8h~-_dZT#slpl{=|A9feT0vgSh-wBnSyXJB_;f
zdjp)$0FzmkPuU?*^gR-(;MLUODZq$RV17ZeH)O(o&JcKZ0fV#&$VI;^^=JZpg5p$k
zNnUbuym~VC%{RE$LLCoVibMFKixCdO_Il5^0S!Gz*L$8UnPJLN>&LKB)J(e<D#2R2
zJbUt-GJsNeJH40Yhr>f}TNb~wkbe_IpyWDPH-O?Q%rGChCQ_X(`5EOv4M7r0Y>*S%
z?oY_8&x|VeexJTN4YZzlyu>o)0@HVhW?2R<Dd$KPGBuXU;f>@L&cNCAT3=Vy(y6VD
zR{|NAc;w`&od3+#=UkI)dP%ZK+C6b<*-0_XGU45}-d{@Yg$w^W5Eo_VX^*_WO>?PQ
z5b4&u<T&Ze;%ue@fg5_@oI7+UBbUQ6Wsg6Ja&BCMG0Rjt#>)oFvAjM>Ul)<kJnLON
z?{+>D5O3<YDMts9$hmqQ{k=CntBz${;x0iANP>J_=NpHpaYA{i5`t}Tk`%{n`!We;
zpFhs*pw+k=JZQ#*9ZC*VJ|uWVZD&Ua{5xZwpw*NCklQPVc4ex(^wjMsOf^=Ik2-f9
zYTwA0zAjo!k}1rlFilxwNGoe)mu*rRw(XEzJ&Ndi2h$&1eAPRtw$)KIRlgPGte{t0
z=FXRk3Z{nd%D`psT4*)l^w(23Yok;N?+7$PG9q%nrg)_K!SzS0(V(wDR*TjouvZLs
z`X=^EAlMn{lDKrW12D))Yb{ox-%b9)94B`n?7NrYy1o?+sw2@lYLfDzf4@lqi~Sv;
z?-u}$%{>AdUtz-^X)Ji3XNa#Qph^+Cea+Ge;^#E)W=9e@MDxijpz}6Dc@ub)W^=s;
z=wLf1BEBj=I^Ptx-%SD5hD6xP!Gmm+fLaK)N4ngd%d_iBy+J}ZBL`l~I|SPXblWIu
z7UN9bhCsu@r0Z__BMJA+e)uIloF-Qj1Wkffm<c7#NB~uc32p$>Blsk#fmqF5<il4K
zODigmI)w-ll_Fyh0nhBMR<)t!Ko8ev0=Blm<O*?vZev4w7rT2kqmHFt<BdpdnHC*7
zedhFc6OMfc$8u|1>#Ydj?0;NZF!yDUb?k*KGk=(`6BOFBoh`buu~_h7W>VM5D~~x9
zfm<s1xVnHYuOV=6yYqG*2ia_glawHNJIa=qIpu!5V@Y@r)bMd_`)~c_!t>BXXdA^n
z8~y!}&uM*p^|il2R(60R_}TtHB_DeI=kit(gdI$UBOA)6IncSz+L6Frq<MMj*%)FV
zvH8Ncl`Md0Iv9Bt_F?5<YavP^*-T@;G}RA?XqG0Bve_}UaFlE)kVjLy-uH_N3P(~h
zVBcLcY_d_bL62P|KYzH^JYcSSJt~pLmb#RR68>lG!KI3alBfQhc>{w_!oE=he5vS_
zT$(ynBe~)@0Y7Kb3wo=e-0<rC`{p}Y`02xAwToaHYTxw@*_u*Ik%RSdeMeoELFd=C
z9T(V|jt3+GyEk|ZH6@PA+`)xs`VAC~Hu=`4pxmNXTy;V~*0~!!-XyeSbQsB$^GMSc
zxu#7Xt(pPacbX0tbG_Zs)R~gUHc)!3H{kr#N*QF4)#UTY`4;u3%x^ikO8oD2v??s0
zkDiNI%Fw52yRd*cx>7t(`dqB^)=O6bQm;@n;|f6wE?DV<mIi$lrfGEs@vMLe{HkT~
z@@BBiLo51oHr;Ofjmqp~Q*u=A%w*c12d4y(EnShkcA3W<6EFbz(6$HW2OZ)Ux@|R6
z@KiKLYnmxrJH~&!zQBY1Ty0ZRmTL~-Ch-Gn-&Y~8$2rnfH<Rx5VQogF(j`?DcG)DL
zZ#``!zMQhIngDcAA2$N3iVgS!a|3@IzG6JMFH#_F^r<m3kt09#n=eF?c78}Prs_6~
ziOG+X)hhS+sD-CAP?lzJ<&;^I#6JqmLk-vxc8drps(%>PqPGxt^JwSvd96y<h*@C=
zmtpUX-SoP^KMrPhT)j)o%x^Tmy{~c<OsGawzmBD>ZkUv9Nu^ULNc7#uiMqI=Gf1cU
z83>bJ0Evd9EG9<viJ@+Q_x*hkTHXejce)p_ScROuwo-DY3_6m(at<CGhB&e5Y8<La
z%G>>SVQ5Y?19aDl<-CNZuWg(q#b%!w0wsTrbcaj3`|yMlkc}NPZ`6A8Hk7I0)&ok?
zN&`Xub0;ht8o+FtePD*MVna08FeQ4ye3&$NRS-wdRl6KCMe<~so9ur`c;36%_w(fq
z1c4z1@%CG9#r{W4HK%yBZiigp;o6_EdbpNh{_>3+Zv?_R5)l<KxTAL9I=b04z9s8a
zl%y}>f}4|39xk}U#wLe1>YB%3>8`RbUALIFnZESqfgF2_dSx3yuh%5$H@foh;APmq
z300Jcd&@2^wxD3GhS4jc|7l7!uH^%%iyO)y;`bZdqgnHTZKN|W3V*<1R>KO7owZBn
zw7#3pq;PH?kmX9O9&vbJI2I>J%T`?Ub;eweY}iGrj|Yk^tcwe7z*)EU&<!1s3%F|$
z6{-YE_dChaEaUFx(}3E<w{p<{mh)|+|9KcedZ8ypQr_}^&RHGZoh@#<lY5I$RO-Gp
z5*JdeFL9r)?Av!2hY$*5!!PQ_5N<WOVu;H*WliFDmNo@g@u`<GAU6S?gPzL_lgSpm
z)xB7;)1p^1lg}d&6HEkBKuxBk1e{_qZR*sgBAH&i-18pilV@;?o!suMw5Uq)xdO;t
zi*WgnjLQtz41<g$Tcq0{OQ7Qz8>@b0K`vn5l@u`;F+^E`r|Ej)!o<{@!*}A9EC%lb
z_7beSrK_%bs>w?I*>_-0O2vYZk&>Q!k<f8JqfVOs)6=e<M7$u}07MM+ORZ5On{t}6
z&PCnT)L9qzxal=K?2+RSZ!m6ew>WGyx|QtaVM9d;F?s<AeW|-Qmfg^S85kg6Z7&|R
zl?aI5c}vgz2+iO=$uCd_ga!orYvRYdRQ*}|ge&}&7OVZe8b_XD!M&Y_yno{Zpj|ci
z)aq3D`nYC8Dc%&oOwrUn-_3MC!~Bi4i?id=?~lXOf7?z~i+yMLSf+&de{8*VRMg$O
zH>{$fAfSSDsFX^#w2FwdA|VW+(mC|Z&`K%Y9a7R=!VKj|jCA)P-3-hS($DtyJm;MI
zKJU90fB1)swfwsGwXf?_SJjH*0#j}K7Nbdy#|x_)s&krr2;uUTOw}F+rXQpMFv<WJ
z83rPRRt`=YRljRZ!S}sylk_+pJdj^wge%9an3y$JPAJDtK7fR)dDv)qK9d=Im3@UG
zqNeW(Uv-0%sLlv|Lgh^2clD#hR-O=Arm2#1C!mWc>bgn1MmF`%=m+J+j@33_iiE}E
z23R|e^zT#+RQ&tS>1*|cX(TEZL}SZpmpRIN_tazMZGDd0mLwuk`u>Pw0gX;Zfh5+I
z*P%RCe`dQIh#E5aj#@_zvAT3+!7lcf!l#NuXMu$TfG4C;@xD?xh@+^MP%ngR7-E2d
zfaOzC%DY?6QxBRPc6@?ve0fzPmOnvZ5M^y%bymd_friYV#Qd|5-A<J2<S)L};1dhv
zhC7j^SGYl7TA7S8RRabkX~6c(1e4mPm6&2W^Z1~KVXqA6Kx@AgWb2&QsqR;%0@3X2
zGzC)fdOflmxMdCmIylUw6;89^VhK;3MN9?fky(V@;Q9kreCld-CTV5P>@{T_pNdO{
zZGkle`_+&nAh<uJ3nSy3;9+yEy6;ikSTsmGz{sd6oc~jS*PDm&RZ6`pZ<I@0++$h}
z@*+y-`lq!k5wVZpiUvZw=4w<1ab-Y!DsTQ^S7K`wst`CbnpO@hXwTm{rU(leHz@zy
z(tNkZ1Z2p)NCW!h^+|$NC%sr^_48^Vh6kjo=jj}DOAtUP`$BKZgSDNWs{k8@wcB6e
z$bnKa7c1g#^FUxL6|-Fexh4GsuljU^gt7dxvyLWblS6qvh4=FU#bGZ%JU^bwI0yq9
zY7<jPQ-jT&IC|9okxYN#Lb`Z<rnQ8nghY1p>U3lYb+vv+$Ck=TRF`|^Il%-!C|nyH
zjZ(G)qM+tP{h!$VAJPHgp@*wa+NgQHx~G(9GHhz?zN-4&TvPj95q2X0CMSS(1Am#%
zYJYhnvZy;%5H_`DsiEAT9GR;vToGmMJ#)=8^(;jM^_#?uF+)6M!JyX+W*BndtCQWJ
zTPUmQ#<9FDX!sK8=G8EieY;jaipeDBQtV33Iu34`MDB8BjoLXzj+05hGeljiL=zi&
z7UD47pyz5|=A@3p0AZS}C9~>bJE!lPs&vGFZ2pdMuOxNCPa?$3Ao4E4nj5kDNuZ?q
zMb${2qAL>Wot_uFnLwh_XJ%&o(;__4!QH9LM?0^4wwM?LdD@F4u;JDu*A4NGQ42X}
z1o-N*yLAr>CBMaES6WsLa=w3z6)9v}*_K?TBXm!Cijzvy98<p||JQWeez{^ljA0r`
zWk5mpiLK(Fn_bpfWz*GTO?d>5W>+s*35wT;OWjxKjkbm&Z=sV9P$_4*v5^_4hg~N&
zTKY5;k{ot4qaS={PeX3tesKP%IVTxMDA>0QA6Vo?-r1phnA+@q7WODY{y<XB#Gl{u
z%z3f5ciZa~-fgMq@!Kj7mx<(Z>B^Jwp_#TfbJ~i|Z;hELB9EL;1n$sNU0I{l@6q2K
zaC!yA|1lo2Cr*`g4WE^+4<mv5cHpXTbjz1~A6F~aC^y4U7MMtUysZ4D7F7DBA^8uK
zgYQGDle2W>@sT|7(ZtreckOeBY?^g7!9W_GL0af08DC&%H`s(=n*cLkMAW{WIGK%G
zTFuMYGy^2;i*qmGN0UiM@}F9GySoy^f_sZAErVGO%$_I<{qwat$n#>M78Lvmtco(M
zxcX_zl-i8r`5e5|^ZSV0{7Ka%@nj=Rb*%wk|0mXnN@k|Dg~}k(gRuww-+zW@8MXLE
z_g_&6x;*%~^#U4#z*<_8k9I%6s>eNg!>n>PkWDQ%f4ygpL)*(a+nU2JGmMsN8Zq^f
zF$s3%^TMe<84el$?UW7)WABnQua<Y=EJ?N1Pzoo5fok-h7Wd(oW3Qd(Iz8d_&F!CQ
ze$B)B>#j0!Qp%4mY$Qa)es!WW;+Y(r@iJN2W#HpAZ*vp#@#NJ_OG;v|U12^SGO;f}
zp-cfT_5<a@iD12|tO*TUF?4UcycTxqIX8GPJVGnl6vyAQnRx}060)v3WOohsf(^=p
zM%{@<4HHn+kth*h10f-l$l<kf$`OE&DRNf457)(Us757wO636e_Z-(GgXVy*Z)#Fv
z`M9_>zpYc2_oJm0=BhK)baJJG*ROwm>pvc!Y0N3d9!bo1ns)v@3V(fL<K?qLEBk-S
z?k70CV!|9&dLCe$itT3ZB_90t7|#T+N-Lgx!?yEK|A69LpGHuy#b+v!UxQQ47!~`8
zezF+gyb?xXd%Sg_y!E5TaBEgXKS7rZEeXw<hY=CNUiJuru@rC!8p;5ae4#zi733n6
zRY}T_v;eV2Bk^w@cWuYHb1XAf(k-h@NZ^-4+q@Kg_1H|PE@|Um9z?+9mMaz(&wQ?W
z+&r?pug|z6yPHGWz!yda+tzK3kC!;ut=ZhPJk~uxiVBO+rS$zN@5<pgFxGqoK06@$
z4p0GkEsXuTnMaP!Vnre^Zd@bsy5?>OEDQ~v_nk$bOQw|6(UVVa)uT}iAZim>#*%uG
z#q3ZX0*Y}@v=skWQ^3*Cy^DTb=)!;amdXKXIpOm@H38u{ckHBE;QG8$>61B*{1Jya
z$9BT8c>A%r;s36_WF?m$HmlHdG9~a8^#auob?ok+MZ$BuYXYl;ge6UJ+g|1Ag%rs2
z0UKY>><90lLZh8Q<;B#tK9f!#+RZU{=vIb8)|Hb7aZ7iA$(M1ym;$|C#Da$KTAlTE
zO>Ik2BOga6qq*K@9s$T#)ye_%CvPyo)7^fg@DUW@ErCWxGdS=E|0&o@A)4(T`vy8)
z;Ae{T5Fhj3e?J-;ypuy$L{7?e=Q3|kxLI>MfMqlSd<+HmYu^JPtV`)&A1ME%^S!)0
zAAJR5F44J}%Tv4~JA%ylp5Nvsgrc>4t>I{`=WMG6#4}KksqbY+A2OjKvT5;h7)YoT
z9~+_$C=C4&qlGY?0)8_gv-^nd%9UN|<-R{0dVCmQ>r`a7TZ<RY%MJ{X=sO%zzB=VQ
zd*vU;_V>-(hFtEUn(rrWk3_C1ul949{|RB_Y5Gr}kdKno&QoYe&XYv1vq=WgVh5Z*
zI7n#!?5UmC4)@UlZYG9~w;BlZs+ElSke2O{sNn!u@oQAIFbdiZ&mYM7Kqc+R(*2!E
z49W18F8xN+d?m?Vbm7=$&*X?MuB&c#&m0`k346DAlgJ6^p76mJaPqFd)h*Ps30rv?
zlg50y&H46&Jm<24&~Mi70|-5VSs=)Gq^X!pcX%<@0z?~}8%PIEmw0<T;`d+PKH>yd
zWHif7JQAg))v$hmf@p$qYv7p~s(R7=Mr3{y6CY4~Hoj8q#cJu^e_{OdU65rb0b#rc
zg2ERO*2Zwls8P+{G+3bOQn8+KrD@Kyx;U^pEsZAizRoVML36ETr^?7mX9nS$X_wfD
z;M92bZLzOeB}%SO9zHd)Le2k~k}z)#IFOTbuao)r%)tA5y!6V3YczW}r`=<TPlbFG
zMr%}Mf{l8Pu#+<-7pIDa`IB+4n<cSZkgunTo3@wY`C09i4l?$2WPBl|xgJ?NnM}di
zt*Z-{=&ZVcG&OOym=be5@&GHrkD6_*{b|j%o?y`I<RWKMZzsIW=;0XKg^k4zKW><G
z$eK*9%2Ys$kAB;;3uT9P1L<KjVviBXX9E+AoF7<gd^tRYt7pRI_Pp&{30OcNmoIQA
z$Qq#xWm_(>ZJ)rV+`|nY>imKO0eZyiDsq>tE$hiq&p8;u$=1T^5q}1mCFg1MIt+Oy
z9wo`$g}j5Y{;Wb5AIj6n`Aq>Lq~QE5Z)fOWnPN96nGYj!mS3?SYN>q#w;zKV#-k?H
z@LMQ;K82`Sy&Bjz{ic&RtbA8o?ieJV#^x-=)2v5$i%C*=sJ|nKp4MakB-1FQap;Hx
z3>P2ZOy~RJ|LY`Qg%<drt@~3d39c0Bw^$m7#(#AH-_q|v-0h!hZ9#S$_t&A<`23v;
zkC~a1CRG<5a#w6d{x2Q2E6e<iqLsAAxu3FAeSW-Mp8?y;)5f4{U&Pghe7F2_J7DG6
z2y;p;n0*xjIJ=9!-)diLRV_MMd6mmvKw-Yo0?fRV9zF+^kF3%#Z&lxKwmg*w5UtHZ
z3YcZj?a5D%z-X@IHuOebBM~4kZsM{@7g_v7u|Nw#dY}tT0fnZ(m9VvG*@Qpn&L79*
zH~)m&TUluf(WTHIs9O-xZ=<H%44t0)Iw9XT$Ycw(l4;`f?zcrY+2L@MBD=M+eW%~T
zS9UzGWB4L$xH7hPilCieP6uf0w1eo-ZmnMgJ#A$y$c}Z)9+i<13hGJj_Pj5{+Irgc
zNZ{ypyijhpg(|ddDJSbD_W0eMf2m@8=;uP?Qt~sE_uzS7VnG}W+LuJ8@UdqWXN*f5
zX^%;ZqA}{H&(K4CuIb@0m!la>TJZM^HRrV-&0c`Mpfj2O1qpA}Gr@2z8>;ZwqB4N-
zES#noqpX3@Qw3kb+{%#9E(e!;-lTTKnXEhYqLU#4kY5+M+~*O#lgUox-aYjCWxc#M
znC%e_{7Bb!Bjx;_c}k<W^=N|^sGyFDEjpckL>2KpO?{H=p_Tj0Cw4p;2M<dGKl{!W
zLzEhw-ydx)lwQ)lr}>3pC=)na6iW`Qi0CD}U_Zi(OE~xi?o5PWi@z@v$1E2Eh0k?h
z60<0)3Z?Hamig4aLI2~(yvG}WIX7uo$mp}^LCyHQwvmlSEHdc0V_`OY%Wg2HfLb#I
zSOI<)Q7D*5bNbx7C(Mqs0ZL8|6XD+kZNyW6>(?mS=|2g)q~12y{)Pfb%P1M%??O!e
zSF3BDP4d=C-y1<RDp*M}>jOMlpd5DbK92g^<toKZu`R6kP)psMHy~y%(A}}^mj(ob
z`A@)16fSuc`AjC?>d%y{`)usX)=L^tYe)tyu20elpCjvvr};KmgJvb!Edk0;2jxn=
zeROjAGhI$zd&9fejjAS4V8WXS7)^GN5^1u~s21a&lOqD|pG*(omqolX7JU@PUri@8
zjmU#8xxB=fldE3eS!Sdn4n%_7nco6Y%O&yfZ997<%As5GNX)L?sru4%z<Wa*c<3!6
zTbr7;8xskuL)Fmz{owHMl(cIh$sgWs=>4b~I4tHV1zMIbYX(jKUqCk~8etyaj?*|1
zM{*iJJ^#+k7_k#GM-)PvD$##k)3tImjlbKht8xW7pbfq189$s}PQ0`c@$ZK%0z~9Y
z?fdoq&ikzs-wR-pb0#U{P>X0~HbbRnwmVV5HNt~C6)x9CwGWJbQNn|_Oj=fZ^`7hW
zUZ?Zla8*bB4q4oJ6UsYL9>@dFyrLtByNHI2{*4x@q=nuM1_>1A6urjm6Apy?UOE*T
zyKxHwQH@4{&%UGSf~T85U8xl|-(h^ukFsVkgmw9}U)xs>(?8Se=m3sJxW>}+TY>Aw
zyM#x|E7B{9^G_NibqfaP8E&T30!<%)l184creSLuJToElO)3CN!0uV+W7&W6iFiez
z7?llCW-3r}hV6}M+Osw;Z|oG%+Bd16jGf#ly*WG^WLEL+v!zT~WCHeD)WP8YlhJ~`
zo$E;jwMtQ=&&c>T&0o}}g~-plyZq5GXXUbda_;^h$Kt8$=_gh@y~J5%oqaQ#G;zuL
zRMq5v6S|toCJq4)Ze&s^mzXe5PCB>bBq9bg<4E7Oo|C07kpUv*(5chO>PgM5l;G(*
zzw)2V+2cY^yUg!^+>Cp|dX=0PKn}1RyuVxzKX>tab@zW#<rzggKB9P{YNK~cgkoH-
z(rm2kucg<*t>l5C*F+wmwev4<DihD{YzM_nXHHHdvfvH6QjC4+PAa{LL{6@~DNLJH
z8DNP~$ii=*5Wvw44FpaY^-EGQT@{x#xyW*vGynX~*4su-<wlbhFJKM@3eck4ps$^r
z9vwl{dJo9TthR$N^}VUB7h1R;;1u;5Myg?~e*}$Kd{#+B2P~6M^`ZdOzT1AsKvTUP
zfBUfTeBs5KR2Ss+F!JIgkaY?L<!dIu+TF1vaiThkf4m+60NZTPwTmOhjs*Hs$Xs6C
ziz9UKyR+mF;l5#AId+k2k|OUpSrM>Q#!Y?q8APri1>?e9B>(-O<%vH22*F3{)|b>}
z28N`i)cCoyzo7DXp+sZ{WE{}Br}Zm}HnoVDDLsP;4C+MXWxNaaJ(&v0TSXzR)7iaE
zdRaQ4*%U#gR0#*J{E#Zq596-4yeq~JJvKP^TX2<kzJ`mO?E$Zi(!=RgD|r8YgZLbx
zQzxOgQukPPD_)A7nRV<hg}k`z{W`<=_b<quJh{HYXx>P5mf7f`T}Bx?RrRYcAhZIR
zE_qH+qvP4x9&f2E=q1YNGt8G}wp2947>#5F^HvOM3>&c9me+Q3*zyvkLSXL(Aa!va
z<2%1&BHtQR{rL55WFIxD|KAubk{JUz4}f_Bd+3*4wLzZTvN874F3}Hga1TCAS|?%>
zyoFA%c~qdjsut{nktSN>Q5~W`mEWz>L<Z*=K=Ut^(UZ+Dk-E`8?cUWUKdLvQVN4Zs
zhg-GIKD{!6TnkfHZ&F^IHlbyw#fGjL6ok&P)hjn`eD}<dXNR88o~X11Q4YR?w`?~O
zxzQ8$@o)6(Bl_!W01yQ{W}zS>2taT<f2L)5_&$;1Y6Jpnz)3;hfQq+CLK73)dAhMh
zF0MWM-ZQDT?|ugIrQZ?^qJCjRuFlc1uv4GPNzS(N$_L*CqmeMrXc{m^Godby16wdK
zZ13-;o#-A+nmm!59aXv9mOtC-(tU;*)~k_`2Ht}Iht|q|Gv#?t)c>8{(^=_s;nDT&
zn$!0lW^dE#gN;!RXbH-e$!B=S+e?4-ui-w}rHMd9;XHy%Hj&1bI+glXp?ik(^9SyN
zaYj|)^a-v5T_NT;(MR%t@F_{ah?(Pi6Gw-T|5`e9p@6*MT^cvygFLKgMJ3K7w-iPg
zjsl2R-fdtQo6AiTR{ZmgWKsne=lyhRck7pWdqLG_g`Kkk@6Y?TTwLCZN0M63!)Ll+
zi5+NPkrUe`><F3-tzqQO75yPbJ!e1aq80PHH%o73(iNaDY~aHcX4-Cq?$mcZ<$DO^
z-d)6L;-mU$I(%?MrdcqbIl+8m^!zaYV+j9}kVcg<E^LOAnB>HaP3!6t>3KcN0c~kU
z>Kh$kRKTXy0AS0r$y1CvfpJg$9R^thn~6ucFf2{Kk2=V5f@fVdW-Q%C9<GAWyt6aW
z;b`mg8nIIP(PK=e8Q2e@*>Lx7d;t_QuGuYxtJi{($QF)^r%cKx@5QukRUCHfdH2ga
zJ9pXEtl)@E80E9xh<|BkVBboXrXpSskQpayS}bh#=*B;3$g;tgH2T7IaVIR)-+k3f
z@WX-^xxf;<)_j(ptIIpNTZ-}oQHCGLOFC``#ViJnb#nn(a=BNER1PO!MVVx-&un`I
z2w+|4um!E~9Y(A?=a#vly&viR?@W;hmy}~gjQJf^D}nS#yk-U9YTo|nnam5E-U_Il
z5Wpseh(wehI%#{42re=$KWtTfv@<(9$YX^7f_l!N$Mqm8CyJ9Spf*f#x#8{4c>UE(
zocg+u^IcnQMSwS*ugbX0t<_R`b(`2**#J_36;U`brvLCiC~WN<g6wswjD*N7T3HDX
z*CvfAug%H)=F2?h-%h&<_qGDej!QD!#7B`V+b977H5=|KFj(hw$3_C~lrVyb8ci0}
zQNs6R7YjEi@9|oi)!g0$|5dRX&I$78@UNz=-FCY=3*AZm7-tUS<euLwm;V(@=p(lj
zw58diOsETY4qqLbHjXbpdn}P%<|ktEs+1Vg8Re_CI_*02HruOjKNB)Me@kZ40W_$<
zGZR!|k><O6H3}vdAa>#avf#u~!m5mVWtp7YKy8$y%k6p?Ql-cvjo3SJ9-soto1OOi
zKBdxQm12dQfRHH{)^C`Us4&^C`2Oc8ECxs^<K>vxnz{PBfqJ~hgjt<dJ#x#aheErV
z_$eQm1X*O9S^VF0g&}{#7LdpAxA9-Kb+_<RW8xh_wtS(W$2z8oU5koW##jff?%gUr
z3dbGn2RE%)dYhdO(hmPVM(bIb>8SrUFb{ztm9RV@n3fO0wSs`9Ef{#JPb*_d*bve{
z<fMtqq+}mPuB0hU%rMY8{1ui(F~0heq`BDzjhCi7S--plbTFsfhUsaLf0=78*uNCS
zeW7XK<5u_Qw&Oi*>NFyKt4qqtobKtb^PoH1-mO+DC!S!Ayl!RldgeT%9JOA3%p$`|
zEm#3wUSkAtJ>{nB=be$dSp(KK2zx^?5sDOkjjzPo&|X?Z+SaVKJA|=8;4tK*!#>x}
zjIsEpzWs}eo@S5gM@g_S0HR3Ik;bA9IGBb1_Rq8pl#n5OXKzUqjEm=Nk2jok`3!yq
z1rncv@1%Z-;xpV$^=>A4>u>+09JxHSl|~tV-sqo&tfbV$haGXQ;OR9>YY}9<onO`f
zD2<#TBxSa>FPR@BC&_oK4UP!k1PXK$>x1p~I<1p_=+XZH-RNI|%W0lr34L-#RpKN+
zlxYdk|0W4D=219+Tw&H3@q(RrMJsvuL}o%5f15rpm<co=*w+=zgPHX_4Ool1X5U6a
zXZR0@<pTMaJ5rda$^R>C2OS_e5LrFu`7?!=GH_&_yFw9K(;6&8+lo{JQ7^GrdD51m
zy_J^=K!pbc!fy>YCkh2p(gJP(A2P*F{j&BYrhwl=k+W)Pdi`BW3|GsRPtn^{oUY|w
zE>{c0{o(^Y!F*;@Q!9^_HqVM$snR4K=UHfc2{(}G)=>t%r+<Z--m7qhi1@ypZsn%S
zYd22@xMzj>Q_Iu+LHf!aF~JH@D>rM8UVeb3tWE2%HA~W+_{|od&!Q&TyFloRq=4i-
z##b9ULF$I5Bea9_W@Z}wA<P3=!+AMm);zCIId0%23l4k(YPbFaHn6k*M;P-GO9HqT
ze+1Y^C9BsTB8TkkY@`}N5``0&W3{R?Ce5Ti)}|iXj>Xqd-m*!@yv<$i8Y9hecdSVa
zNxbksxBT~c<pJ}QWy;LaKC#D))9uMGrfeB=Y-)~bAHIayaLVf3d3RNWW?W5w4$H*p
zYNJcW_9_DwaY0cS0FT6fWRDRyUo%3qpI*vt7^yZRvv|P#Go-846MFe+#3p;3<Hc9b
z*Czy;Zg)R6=-+|%vXsszk;7UpW8Fe4))#X!WoLg>IJwc_>-sn(qBD?Urs=BgyiJG2
z0oDcmL7YF(HkY7M{&d(VA(W6MC*(Tk=A?9xSWHC^o58}FZ>MMlbEbB@zO200`?#+;
z<H`I?4IWAt1eLYBA6`cN!5cMQjd#+9S@jE6n~+5%L(Kzfi`YuLk?*b#9PjW}>>#x#
z?pdblC*18^Qds61uAnzG9OPw1I(M8Yu#sXTP!GpiA~+Di-q{oL&n*%pNQma%|B-B1
z2`%Y>IgLFSQnH@7V+2e2gR0KZWA!vWx3<v8rKs>)npF>)&J+`cKEObD5m<_&sS^px
z@ADav{fV>b&|00UAc|_yGfQtFQE4d&(psi;=E)Syv~ybRN&t-MJvNkNCNv*wo74*#
ziGsCD;d%~4-Ip9WMk^mRbn-^6-)okHnljk;@{wq2T;wd(RK(Cx?rsr+P39HH@blkj
z$@o6qz4l)}9ioKtThZ7KzmriRBbNtW-|cVj67vm9A^DTXZEbTT&EY~@iNc!|Y7+No
z6I{aJ$7{m3?{OlfcYS^tjd90KSk^+Q18P^IVCH0eQ`c3=CNI`slFd>7y=z;NL=$P0
zT;TfW``#{3wfFcPz4DTK^p(>iw9q;_L#}R0-4kVgczlrx@4%sta+!yvyH@^3uccDS
zuwkn^=C~bhN_vCC64JHl+ZV0K^14jhH5?<KkY_LWD0(p@+X;_4;Oku%&qmr#AN8wF
zqgyUy!vZ;6{K!@fVo;Nh5S%|=)k!IB^5`b{y3L2oVmk)qis$&WLgQz!^rYcoz0Jk%
z#<pH8ZQ7~f<K8F0CfRYW3y4l>4CE~80R7%jR+!&69SGb#9W2bQ4l@MmnbH1`gu3=7
zUUG6Bu1r&k{jM?mz#>}H{<f(5s3g>!cZ_hWL0KScR{rMYr~macZYN_QP=adI&W#+d
z>RgkgdRDBDm{+mK&|~5jQPU!0;{HhvtwL(r{fxgJ%Q=l?>AWl1*-7Tv(e$|jf8V(=
zquP@Lg&(Me9LxlWp`-)EQmO*tY{4nl)j+RjQ&^>{wX_D8dKWL5#_G}Cm|Zkg;7fIG
z<@u^l!@b=Xyq}M-roDthwu8`W=<xQyd!#n*lfS`kSMsdPGIv<ss(n04iRWnR5>>zV
zsOJ<@a)<TLDKXwYLfqBuVH!7^kVapf%WapNG1tPPn|85xi3hAgcb}~HpWE5~IgE3)
zaEw?rSVD{+nSq5!VxlytTEwv?ZU$@;68OBL#t<S@6@+kuKj7Ez74yuv&1F{=nXcv+
zh%tlM7-NOrW109-+!)E%ztUjsn$Scs(aP*iSu)(zWnBqM%7v2^^GP<F#>e8adgIYM
zzF7a=t*4<>H%j&N^KYekBiQ-P4_dpivAPW`V&Jz}gN<+hbD*zPOg|qe8D5`?E}=KX
z_Bp-Cixr!;AmtIyq%%+KnKU>yYB2seK%TInsJd0$f_$c?J;~ee?oO!g+NpAvSp1s5
zmMV%$jzhVRY?s`b&uRFT?CbA(-WV9;TO$m?90h+_7Ov+iU7{LBZM-y(zV|rhO-W~1
z^Cc(b?%XHaQCcidJG?tOc!Aj_njo&bVf3M3)O9u7h)X0YspOkPs7i-oT9{Oe<5I=l
z$a};p?Oo?ja~tmQKk0d;MUU`Q7;Mz;pWT{=N_lo|-cA^sc8(HL|Duc)Bq7kF>sITH
zi%P_$js|VFo+N+QE`+Z$zk`GYz72rov>|e(a3I5zfq*jQL<nF&FztGxm^%$O_DZyv
zz*c&)Pakh}{n=%z$CIpP-Gj^@^*mk<zskSuJ<d_0$>M3@v81~2qltN9jq$VhkL?l#
zJoRbSe^rRTr9z{TzZMJ*Z53&Q2ZwrKYvJOXYWnfvCcEYpbQNpTxNU$~{hKJTzV~O8
z8b9hGQd~--9pjIxSnd`{Qg!MvVG{37dSB{KL<Y4~`rAJ9{DjY@B`SThgGp>=yNz01
zBWGH*`A`WfoLGFOw*O&He4P8cNvhr@w4{77FC-woZ@c6&d|5S`pj`m76c?(y_G9#D
zWKVmHgF3Huk10q(?J%9Vua{AM`B$P2%Z*44A4ax}JaJfo<Ijq+XI_LRT*N3rb&sk2
zppbsQS_CU5#ek={p+YWHcnlTgK?Dy>qPV2_s6>3*hQs|8+_6(<nOeK1o&9OpWXg=!
ztm9^`T~y3j^4(}jVEfjc(04{dp7$bEL%UZH!J7yjF;Pf|{5gvKiH;QEx5ugTJ};tm
zu_>+il`@ys9Eoby*WwH%R&NWBxx~tT49aX|?FOhx-_+@`>Y}1Fr&PZGIJ_F)__HFL
zI(}GJ($PG4Sse2U4g8RMq)sfAbPE0H_ATQA{z)C7QM=4dt|b9FqK48!BGAw$Wi<Pb
zf)6TUEh?_jVY?Nv4K{G}<gIyA7&2iUD2{bI287JT-B#IF3=E%fC7IF~ohuDC)}(Z$
z)&^?t@|KxQs|Li2kE@!)bwAL^L>l^8cQiUaSC!R2tJ7dVTRPdX3Qb^KEV^gRo!mJZ
zO*FlB0eYDL{<(f(Q|!d*kKdc#Yh&pABcfivhLDfdyEG3=X3$GZV@VlUza(Ms?y*r%
zR}|_nHZ*8@SnMGw2J!%Wx&WAzupqtQ4@PWaq@lTyi~C@_?c6u(?(M-Td+h59nOn@v
zsdU(j4aemJOT#s_D}Ui$SUVo|00E0%2(7$Bs@1U6oYKl7cI7tZf{vQ&slNZWod_k(
z{K#t)&rME0&gRR$cj&F;dH<m_{wlnIbiE&$9)XgVZT-i${uJ|&C4vSgl{RJ}O#xC1
zDzsUVBks|s57NeM!Eh>R3eOU5mW*~h7qt)E(8$oX+9q2X{A5E8wWGo*Wz&;Ezc64o
zA6Sw1?{4klf2m;Q2`0Z>mTF!!V+tp7Kwaq$R-0LR`%%c+g`9Unj+EaoUg|*+-^9IP
zWOqPq$OlxTd<R|sorLD~^vd%I@8z4E;y=Gwi7Pf}ySlF!a<3ax!pC>`EATlq`;A{)
zS6@E-ZGZrgJUo1uP8~ECm++h?PpIr}3iGwKV<I`XbNln4;cgw_WplipbQdxgD02g6
zMf#9T$#l^(Hpg@N#$<e)e1Vp3KWUj0uZ4!GGT`OA3m=v&@K6pTz0k;<fu(0)5ifGt
z0D`A}wP$B-EJU`sRFF*M5G?y%KtTbVXX$LKyx(kE#rK~kzx-<FVFP~wy<``EVcty#
zwaK}>U6NZ~H)c-#KhNLO2tf`$M2j`b*Ka7Vv^I%m*x{ER85}Fy&F9FTI5vRN{qS&9
zrEM_?Jou*7Cjxu(c56=3!U<P@+)ujfuEr}kiA3AQZxRFJo)9XT$BI0s=!x1*2>N0B
zVw0Eu6mMz+*Y6w!zH~f?%0gln?|81peqV*D6-Gv}cxxz1<hd<wD2j-T&)5;WW>D5A
zj*3`jhl$J$YFW}h8m=fshDZ7)XD<tj7kxyl9%pjRyu+~E#*iG|qQ_=ZV%UMtc`V^2
zGPV56x%iAGy3<;6;aHDe7Ha8X;g&-nTfJ2O5i|QSzr{NjMxd#EfY^(^07k;E>DL(C
z+`J|GIPOo0$Pg7ulD&cDWBk3$5(XHU*^@WR7Ot2nw7<rC>EYw5W~VXyxSj<>tvcRq
zj<T_i@yxH4iYflw?b|cf5)I`7J$edD6PHxgrewnimc!-ZcYaS-Cp@l?4BPDVoTK+k
zAo$FGwHptq49%bz2?l3c#4^IhgKg;7dG7IZveJ{8U|EJsM1Pma?g%i|S-&l=A+>OH
z>MU~SAp2n<N+bt27b354+$Yy*f7rCCeVK;4DzxsgF6d8E7E%psaDQ!Q21EMWuTjc1
ziP@q42sy=N!k3vsasP;DEr)?e#X!<f-v97)LxXoMS)GJ9z9@sKyuMWgRb+<90)j_*
z2Hhi?&5wSG+&N96EOXBlBw8p&c5dc`58VF!yp3`?l<5l6_nP!E+dvN-Y+H2?o3SWf
zxFfO|<k>xUTC9M?>JJ{f)ccgkUbyYb&%a$Rj=GYF>7-AtEv-TTiJoXQLhgleLYpHx
z;LF|1j$~Z0XC;Tz`=d0)_kXC@4pR!vo6H~FMzUmo&go`fL68=>iM?}AoOS8C;7>x>
zy3~s_26!iBV+pWQyf@YA@=Hkp$HW}pp0Jj>&DlkC)>1l=eEAUw)P3*@7<DU3C8&JU
zE>@HWe}joxIm*&48LZmYQ2(zgUIWjfTVAsp7!O&G+cG5MqcISFQ)qiMJK!DQ>FF$*
zQ#z*Zf_#vDue(o8X99Br9lZM7;1R+=Jv7`u<#}H0ejT<eJ9Q_<S`?{#1D6)GLp`-E
z__}jTDy9NdOw-PdC?{vD74X$14E0*SSO)0ekN@E8mv^<_C~H^9?Z?bctH=x09iqlb
zt0P7*R|wUOGX)~sJ0jwZk+3<wQfQA^LqF^$d5)3MQ#2&Ac{C!*J}Su60Om}wE?(yo
zuWiMaUMsBRWl5Ld*McO9u7BExl#`40T?cEG0j3PrS-q&qt`$7XO4o(npr?0JW3st*
zz1s0~;q$#bmUP|tS^2-JcBDbTL4y>Z5_az;Hj}~7Xlf%gu_K81Do(E>s`$^GHuT3r
z?t%CMlhl-&TG$*(wdU6-EsLKb27(Rl&8m_q?=L}1#_G!YmX@zT`qc&gdtd>7FeSP1
zRYg*JWL071;pn)#2NNfBMVx)XBvhxD_7YL$Lr&FW>htSRVt)}-6;xcOE+tq#m#Js$
zXDyTJvtrby1MvptL$bawDw%UtFMQTu`2qICY%sqmhrg~)Oh66m!&M3U80>u-RcOb-
zz-ch+Z3c(E#l;2Bl0{7Ns;TgdVd^d27VL8?z~i_-=Uq^x)IS`ZA@9yc3LSplMq_Hw
z-6}(UkEI3EBeS%94Z%0G{Y$Ud#z@&XM|(fs9T<Jq(iv&9M_j-xm_AfGxNT>!S7K+w
zd_64Y+cHng+H}OMX{Ga1T*)6@SJQ(+FnioXc)Bl?3s_trNTwo(C8Tj-`Pd5Znq4QH
zRaPNle1IF1Woi2JtO$Z~dnGNFmXClkw1Q*gQ{D4Q-n3*Q1BC@YD!t$(hhv{L$A!%p
zWRzVr6pfCTB6ce8<@?u%CG&vy=(D9tu4+x$<j*e3>K{?)dQImG|2cN_Z^KEodKFAQ
zyGXXGGLgt<b@gHrMnp8duJbx#@nBh9rDw9E)v`i&qNRrWq3C-!Oao7CgcBqY4iZbp
zb{l1Tj+VR{@WMCNC&gbEzrygt{V42eMT4^v6po?RuZZID<qC+OvR@{{sVNys$iv<^
z!D(8^kC#<V4hL=b?!~SYmVBcx$q$I%moOUqWkf8#+d?C>q9YjO#r;gC!)AgKLELnh
z$z{IwxUQ_w(nxv!BXxhN+(F<abiI!q|6}0=;;Xs4WfkDOgPFSm%pY+m<3aTNy=_#$
z&7zQ!B2-zE%-H>jnMWE;EB6k}l0>6&?iE2?(0fYQ)E&@vj264S##6Tt8d-);S5O9(
zTmrN2wPCH>73<U2*BRO;kHR>fCg%l3N4+s|N#1Q&mR+49a!z(gXpn@G7ZuU`B$T*a
zD*JikU!(W84DHcaisgaeMz`V{dMe^?Z%>u)tSAK%>~id*hMwZODODv{b(d`d^mk<#
z>xi|Vah*@^e%fzw%fw0T#AL0=)Nb5>=D)-~qs0y{b{%r%#%JWzogVsI8G;^6#PJzA
zc5urt(GE&Bm}G&U)FKIhakAr<Zj^dsF9~3;5DZR<J}T)IM>20|j%+KPS&E?)XI_^l
z@0AhV1<TNAp=`#;qow+YH<}Iuo;+m7Nv)h<BkIw;lFp>Wy=XUsC+#0l$=@zBB$F;8
zU=`&E?mx9vsn_IQ!GulN`1)$6WjC#@PnPC-7h>tj))P;dlD*E!m6h;klZ3`xx8M?(
z>~Dm*Dg@yC{HXIsw!9$=(|c*Pj};9?-Q(xJs6UZ)>N@HBQv{wu0AL*Me0`x`Y^A9$
zX`U$ZEQcUf7mKNUw-e1N1qc&}wm+hF0YSKkJrQY@Y5G@(Cs4jIvnCqlf;6TSK~YWF
zAwMCo55N+6B$1uJP`0ZZl=*G%<4na|X|toVlXAV{xglxZIDDUGX(0KU3)Qwmur>TZ
zF9c?$^_oB*06QIo6KVjq)JW^C0q`TeYuhA<#mExMfZxA&1$Tu8*}G48$Df^ZyJGhO
z;&U9t(q^lPm$;W!-%s>%pDxXPaWmYJO;y4VG&7ttX;MEIH2f1sN=BeQed6a4a`D(Y
zBQ7N&W<j;QG-s!<B;61>Lw*?Oe36NCbD!A48TRHP_8HmoF!5{rl24yq-!(<7rIn+c
z@!E1cMb#Jb8d0ef_<O&XrD=Pj46-Sg43$AN?ge(-(GQd)8-f&|)ad}F?gp0&_Ctv@
zvD+rDM9d7|`o3z52tBBzH6LHlCYSR3E45C(X%xe<%HRuGmDTQ51D4ROsKE#0XXybj
z<)~4l;BY(wo0)F(UkJxvsN+{mqVSE-?!wTQBgF&|8H|@uGwkjJqd>8Ci&qSn6*h;e
zFXDy87@gniHt|%~^agaK^r1ogz#S$|q(s~&4)Zndr^GY{tJF&PEdlf~EJO@7PK$H@
z3oekgWIR&i9{N=%p7Yf}qcCz$&nO^HwX7w|HVFh@ritx>b>QgZr>H7y-Qs(N9K9Fh
zrrWJ|Lcfphkthub@w%$85=-x=O-~1Yuiz-NIZr3FTft33Yb?EkO}w4v2fxT3T{<N?
zdurxFOeE*&>`5sH@67uPT0^LYk9XqCBFeZJRxqu^^L*qrKG;pK!*z>}4zs-|7F9no
z>nTM=fUDZs@G=cUirUP$ZF#|3ZnEL^pyf7P{jy3`@A#V17z-`4PQE<xa3)FU_j*-s
z3rfY()avd}lkDm@Ja~s>(DHHEoJS-24=~AMsDyttbK|%9^+xH`-Lr-qd(8CJU$Bg9
z|6<`yy=}EfrqeUB?I@8+Gew-NUB~q>hMC<xO36^cFKpb?<gVl!y<QggcOEar?E9uy
ze7fJoO9XE@^>0)6Z=bO?AZ-Y}s*I~gi74C?z){}I{oW7bim6b`wb_31kcP`D?fxj6
zL8Wp}UjcGrF97Bw-;I@DS6;_ySt;J(JS`v+?9as!s?x_PJKa7kcqX}U4tTR%4)VGS
zN^sq=9zN`Gk=7RUjwkm1Qo7M9>8=pP<T4B6S7q%{DcUis0I(7k`V^0nyt%|gK_5CB
z8CljtMbE+a3%nkT7L;O!GOEm}ORk|=_vYa*WhIDS&wP4`W$Gb#^=*Tdn9~Ai$V&_o
z7+<K^pckcadUv`VK4Fsi%U?oAgSldp0stoWjFmbsJJxDE@pyA2Q2=W5X*%4zXDJwh
zDYn?4VJmgFL-_=VDg1b`BGmNY=;77>2I`*P%r5%U{KtSIRbdr1a10?Ur81CGj0=rd
zA9aj+5L(ABh?M%ReN&o*tc$B;iiz&H1eu={pIV2enV#IDM?>yMiJ`2haP$V<EXAg3
z66ns7#B84DE<Cyc(IeliAK@pT-LzV~WH^B@BicfYSM(Gt=gW6)#i61J)?Jg;N7Th{
z2mqUFZMqB*WVHzo@f>v6xXF1~atxQAd5#Td{yac)ZsF^3bA;omn%sgjrJ{RBl)lr<
zpR$1XXrag_?9-#%XEVy?S3P~}o8QeW+<a4i{>>)}HkelXAher732$eV29wGbQ(*{w
zKmYt@K|=V<5_y%dSN|h7)6>BxwQQ4>DY$|>Tzl?OTmoQW{(oU+VyRLwyY526-jwdt
zvH=%L<VtAEZv&$r-w=+5U+tu>&BO9%wSwz%X`}^$Ib~*(g!)&u+BpurqP(x^<G(Hp
z-LUN?)P1th+q2mzQTgrvZKa=6%SyLjUHYH>$D(p$a*SxaL=Se}KSjlPQH88j%I%O!
z7Xz(B3fcMhX8~x%?{aj{8`vSe;o0dSW!MV5zk!Dy8zqQZFuJ9rYaU<B9jIJ0)VOl7
zp)m6Hqshfz>)qJzE|285q~ZyuY%T2TTWa`{_i)|7N^`7=D1rB_c1=~a^v3Nx2J6Xi
zFrd;K9+~V4I18Gm%F9mNW${f3=&+_zU)EN+hd!8A!jI%x%hoh$Y39dC*EVfZH2;~F
zIse^$19Z7_N`|y3<!<geeB3OC#+K}kZKwfXDMQ|vshe069uwKfJ~noew!nkt$JHof
zH#-P%?olveHa^5PiDxt_C7f4HJI?(4$F(R@n+p-HPrpVz6RIqTEQ%l)A6F`G`3;Mh
zJNACOWJc*u`T>6Gw6A|TVafwbQuj^*KAK*JScT6Zv%(7>JFwFm{&NEFzSM7U^wiCn
zU6#Gxtso%Y8#eoQA}o+|I7*8<y;g&$O*Ted5zG#I*~XwM!NR~2IsLZ#Au}EG4`$w)
zT7V0I+s5b23Vn#SPFG8E;(FNLFdMj_BmXsacw6Hl-|4qPOJ^l@mLF+GnSawY#sP7{
zop7pbLc|cdo5ZnP+^{7UYo&XKv&2?b8!eLR_7%gj9udVJ=@KdTKzjbM`Cyu{7{t0d
z!b-O9{t>Ef_QYtE_{5iJXp>yE#1vjDx3~4HZRyj2sP7sX9pHM5pH4R~@S|KGec8|p
zc3^Kn>TL-20@(`EvKJ6!LGQ88USf-B4dWJ4ADDu{t^jt-R%+d|ktkMqvqb2rWJDH+
zy2qufxHi=hUGysPX5a){EWILoEb!QWS;8RHr>MTZHWFj%Uk}wCv2Z_&Sw1}|GY}H$
z@jCL5auT0rOsK>%xNFFzqrsamFN^zEr@>bq6Pynbh1LedlZfkjf%QI2Z{MxhV~6Rm
z7A+r8yb3lOlO@J3DJL5Sw*8@-B{3*@F;uhL4O|5Q{fyeqj)HHTBf93^0VG3PAKmGn
z@~k=7AGK1wS8D(3j+)-RW~5;GL9}0-Ex@G*XiM4op_v6V_Z#**p3mo`Ur9N6DMq^e
zYr1^LqAjuG&)ZlDjij<K7b-P>o*(UVAZD$G@V&_lGEhsKqtL-C&Zp5ta%UM&o4lH5
znwZfLlBoFCb5XTEX*7)1_HdhDcabBGUsW};Y}Z`&!UOgS2a)SENOtBW1Ib>9a|7fR
z1}V@BagC~-ibj>xdB|7#7a`wm^X5Ukf0(5T{PGfilM{Dcb3pFV>ztzpx^>nbYoU-+
z8yRTVg7R3(^}z`@m^@x@WF8?+xa&Hu`c_s5;darD&>moZhu$IQg=041`ztP<BLwk3
z%d^TCQ|Y??Kua3ka@BB6!fjf&yx3s^NrmH)Ojkr`W2bEm@?p$9X?Gn+JEmz<V(D{e
zw^<O>2KEAABnI9gVpTTDiuKPFk+!b8_PH7zn1YF%VR}T4Hs0dTtwZ9g(bUw_WW~^H
zxHK_T->g*KyEOf(Kg&GPgc?GrS24h19zR5Ij#%BPbv{_p(bX4v2$S06Im)<t$d7w>
z!h8HIQilI+dvv_I?xfcVf!aZY&wYLaK+J#;9$NK~TNgv+%>PB1^>6eRGEmU-H8g5v
z#4%e)PY{kcvSGP<DyWh)H1aHSNieAkk`&tA3MAS?V<Bk=Gf&6_-|F=ti&DnxE*QFe
z82S3AS`{>D1=---Ug0a~`^*w1^=Wr2Wtc`x=wL0e5}vSW5V*je>{(GYuG*Q15xN)Q
zB#h8rm^1lt)b~gKs~wxi^mVe6VWyzDbhm$Xad90=f?{c|>nEPoOus-2hwf}zef)x~
zG~mR7WAn1C#zt;E5%NQDM8j^!g;1o)C|ED|DG^1-rzu7=Ikp8BS}9^69u3L&)zQ_=
zpeMtSmQS%KOTM?O@8|xV6RVf_gsadh9(ICYM=c~6*7UI1W|&S&94DUhT44(VMrEPw
zvU|PB9>L%mu3IlBKT^{#j`VUm<HVb38bZTz8_K!GKZ%>qh*Q!5Yt4g7I-UFTtmc`0
znWxAtjs&Vcmy^o4ECA5qXw%k+eBZ%|<oE+eiQ8P|0&2lanDqg+r}_&R4#x>=XO4TM
zh`+pHx?N$r?+e!0x-70vo{9`MXt@;5{a;XXts-8}z#-V2Jo9_s7^7I^UTqpSOInsi
zLqs#rH1P2)t-?9tfcCyj#$@|aTFCdql!q*J2At`Po$I<7g5c_g@)&c7%sutrq@gP>
zImLf;uETfyWqD~%hyI25*T9W+x0xbAu#V&r(j^5SsGM7XNL=}qs8^i19-j8#xu?OG
z8`*_Hr#7{zJVCD&oKKDkoL2C|e5BNhK}CC1&-e{`tbrx`JZvXGjCr0cSHC-4vhcAb
z8DH^02S&1F^++7{gHcV~EdDHPD@s9E{qJp<><ozi4e@g{tEf`o00_=?_$rJ>?V7l5
zgZAIq7fo|x*8g)Jk-|<KcU|=BU!Bqo7g}6HJ-nTWG7c3FB8+5dX$P)2dpci(o?o4|
z%lAjX4ot9-WwY&R(RYeJWN0fH3L3*rq=bJ|)E9!7@HyT$4c0HQg0CCEU4VdTPt(|`
z&K+9~+|QbP)|UHyoA(-$%gEdU8V8iPhHg%q+8x*<J^Ch>Lm|2rqsq0t=8n_l*G1cE
z@1~8ad;c`Uxh)qj9D<Y&R`slBgMU<)9geg#R>8-uM9ch>x2kxE>VlOm#@3Fm4Fv_H
zz0ulqeBGN*Z|DVEVHOrQPbpJ1JE%>zdmWNiht?rf;Odj7BK2jRs5qG1gY0bjx8q`F
z*=rlH-q9kN(d;KZ&dilBUgW;1*^aW6SS8_|{HCGJ@hPzZ>?>hcx9p`ioXH%oeaVhX
zS)41h?t>M_4e!k96>p66**abh&S5HtoyFqvHqPeX9zN?4@lG;|fL#V#Wi-B=6)vuX
zOXm`Mo<co|e7!uq-(3sXw(H)G`?N5uehI0CcRh313$D5PV|tbooe^375N*+6acy0@
z9bUWQs;rB@RGBpoyfi!r<%#VrlZ0A+1XeuSyk|~D<@=IKqj)Do9jBwW`ZTmkgZ(N1
zFstxSXTI{;?W37KE$p=xckO@5Gsw5*jhWr+Rs}_GLHEk-C5&I}Hy8ug&;V2-hW}k^
zyz9Bw!>FBZvz?HTf4q7XiuZM4_vaH;Tb9@S-W*6;!4dO|gU^ajye$I`0PxAS`FZJA
zN~*l~kI6>4k@Y9iziowT#zT10K3SUyrUkN6tbOOm&^`)09Jl$UxX+`X?%FnZC3!nI
zpf;NgC-GuOBGDZH(CT~;j9`p2=%o$USz`5cMffNkZ(ro(gx2=wXMkoG;w!ac7l%^b
zZ%*+qD*L`w5NAeOXXc14ARP32nH`Q!bFLx$|NPo{*+zUyRF!q%I8pgJ-+R&d`^!wP
zww*~XAVO1ic37v|{X7QW7dsk3=9jw_SVGTbezSB{-YJKWgm&XX7pEHsmP9n68T83y
zh1$)vYOA3j_;$TBNPFkwNY*m5Yt-@+=^`&14d{dCvV;*WT$qUHIe0EVrPY2dfDzTi
z(;2qkc$LSG<K0HB$Dpv^W0Ulw0fv;A`vHdC=!xeUe7hw#Ux`j_zuQoFn?>WxWvd;r
z%?dB|Ccd=Ew)C=(1Jm#i2Qy`X`#)zfH}R_m71=bL9Y@A!rwk>H3`?m?s|M_cl7}Za
zn)|xu_t%5I5w*(D-TOyx9m4}KBjKX5G+}#W%Er1YEi0r@D`IalV%DYD=I>O*y_nSf
z-AvG#{fb;rYGgSMne3-mw}d&g+-@ps3D~O4egaJ2Xoj<|v#Jv4V71SS1NL@omZZ6i
ztZ(X}$gt~h2UDbe$HPa}73TBm=J7Rau7m)XRZERE8SavW{!HdD^4(4^<Oxo2RuY=5
z&mZm5T3s1SkBKCeC9NKiFqEKL3C?X;I7nn%8GFioUh-V&0?uP387J}C{5M3P9a=Tw
zfPbXs@%75C-9e!>xF>~VINoTK>GYV*H8MFWm{Koq*p)zHk9u&+k0<Cc_ex~Hntw5n
z<FD0-xc8Sfe1*4*pY`PHg&alIQYj^$+Zlgr_*E2_7&>LDJt|_JQ|a7IaU+~dI8<dL
zid{GU)Y0sNS&B`wD2Fn%tIDMosfYi8ntp8SWmtA%FvQ5h*-4z$+u?LGFC(QcAn*e2
zkVabQeEGe%ROR_UtNW+B$*i(OTv0BgI|F*fpSUgklk__<TjbN2?iVV!>p~S5$&y?Y
zqD|a^9znZDst-*0xO%EHad)ZBZo1wop(N)QLOq!b5Mk8h)5n%ZliOG0ne07pFRiKZ
zP5LU*x^u3HYvpK>z#WS9-0}?i59c%<Tc#>b{8&)qM<dBklrJdbqhgy=*q@Agubu;S
zspEh|7$cHR=h%)zun|sA?y#Ur^7@F|=goN#x%>4M^JDCI6=&p5*DHdT`L<nXO}-K<
zO&-HRwaBlMnpZiK=V`Oko&_)$W5P@OY+-3!lNKL*QjsZd_^yS%W9ZRg4iMvj*(bdH
z{H_kYTwj;X4SI_Sodc|G@HzsfvKQySz@wCKke<_><tMmi>)NW?N<wg3;zrD_-=kTT
z&=)t~|H(b-azIhQaM?CfE+tQcRXjTq<1H;DBdM0VmDGH#UG?np`1f}K@v8Veb{lYw
zw4^Kf`4EqP7^8*oCLQ-08kMi-niW^Ax5i$(@!27YQkW^V?6^rX=$}<f^@+St@T&$w
z$kEZ*E?R<_O0ih`=^r%yKF;+uzJ&Vg(B#t80aOkKHhxwNx*3#ycv!DoxuqW>wwj_k
z9&Bgx8o%`<<ba409-kT=Ouda#bbnx)s#dQyy=W<3nW>$XXBB_G9F}B5Q~|%fMM8#~
zxJ<+J#wp^}ey^OfSlPQhZUAn+Ymu5`DH{6R(Rg}x()&upd(p&Vysh3F0}+XIDX(z0
zazFU#P!w~oRGDo(8$V6VN5XXZYw|`Z=Q2}hQGJ7@cVQl&A3BF8mpzXK8X!;5kSD#6
zoBx5f57=;T?cvTr!+h(UpV|T`y*>Iz%9>P*yu2{9!V&3Ved9>}z<9mi-lTJx%KwdS
zcPiqkrF)glf9q-Ix(%!IGHNOUnp7#&Z(m64WH&kJB<!g(tY;z9v*+DAOAKMAx)(yR
z-KHbOSM2G^&cU(Fz3`Da{8TMX(f@@<_Azbo)u{e)q@k-sz+j6ch4t8ze>R(<7dxv3
zdMDT64~KrOBW@xUB$E9Y#|#bLMR<}|!ahOQ%hOGoy0h;kN=7^AK0}){4Lc|eN88nu
znhm(V#F<TLUXGU5_o6cd6b>+AdMg^1rFWL8MySnix?x#=FI+Mtp$~p@GDfJBea|t9
z78SmwpO?8b&4t)}N<E)*r<=P=Qk=pGo-^93Wx1dr5k6YQ<)@e5FMD~W6i%#Ab8^{m
zf8TG{vz$WEoe?gMMU0KU`<f!Yd5z~WeQ636{#U*0q4{#ymbE1+-@Q-v&`Xx!>W<9}
z{7d9g|000ps&X&nUO}&|2b{P$s!W#N29m=d8&PKAD6$uy+|UJ~vTyhFNdP$W9($k(
z?cduXmckWTf;2LsfCHnPZvRNs<TAJ|c&|P}6ql~!NUBeq8AUA0uO>JCvXw)Ql1kjA
z*xj#s*$CH<BvY{wxFGs~xTWtRP&lBW#~;75M+!uT*Bj&Co+TVM?l`z4|52`90PKmC
zp?146@@(Zx^JUjRZtDMst+()N@(tg=EmZoWNS8{flv0yckZwV`yJYkjDWV`CE!`j`
zFdBpn5GFCYo55g|Fb0gy=l1)1!r$-p{0-NAU)Oma=leKL2{qmIN!VMz6=~Xko{5J<
zTyeRqHAT$UP$Ni@{H*8x9#Af+CplB#cd*xH1!Syr{XS{TXr%l~_XKpwnx_p*wl%SO
zfkBsV%m?lVOA;q^{ECICo?G+%WO@o9-TuvIC^~#KFJe8z<f9g1uq#W?(FQ9imvqDQ
z)a&TQ^7rU-Zv8L<ux#0|{=q9eAFah*d^9~;>GV|}&UgI@8U-~nZ}YCZYEX{4ix9=;
z+vqKvGkoSRIJOm}@ctIE(1)1nKaB|d^x9oPQ4!pRsUpO%xT8xZ6p!kJ{3qsy_V$;I
z7G7lsxptQ_?!Siv5;&z?GC%^5Cxu~&8sP4`Q_L>ehVGShn9m0l!#j6RhJEZmnX_*?
zF`yp<+vpf`uqI|Hkg)$z9JfgcGUp;9nBYWWPCK>X-E5aSrm^m4LQ5eGZi$BSNoibb
z%{r@1YX&0|B)mP`8zyu!@SYtPt-YpP!t`&$oYx1P<ws;O&)!AFqH$u6#@ey8?y)gL
z3{mSn4dvaU3<rGwl&;+q0Byyh8$W%Zpdq>7xj%w3ESK?IA?x2!Rye<K?$!6Ee3u?*
z7%<|vsXqa6+Tr^`Y$~wC`kf7esdt+pSE;x7(cu5o4QT}Id&A|e%B_vX2k^Y)8B;D5
zep}6s=h-7A^jr#LxU2EcA~lDd^N*}}zhHQiu=A;Tt0=i&4feJh^C;--5Z1g--nhRv
z+W6R@I5E;Mkb+-SKU_@IF>aZW>@1`tXn+1<0NFDh_gE&HH=GRWC85*icV-L*`s+Fd
zBIrG7Czs<N7srfx_}O3Ptq}X}Y{5z!hE>3!vnnis@6-X)eQXMKSZ<ChI(wJLpU%kN
z(nu@_Ejj1lUVbzL@4Hd+y4gu{pB?;ENF+J>53jD3$8@3yKIM-I2h;)!W0Ru5O#gJS
zv^93a&CxOpzfSxv!z=kcE}+B_QQ)^2uJLktc^k?|iaULXBy}(o`;?rv@H=d}7|j8>
z8@wcXt?&Xk5rwR~V+sIH1I~FTE3ZD(1+I^+aea(q54-S5%lKk4N-tjSbU0vrG&HGj
z?;mN6gq#k2tFFNg@8Bp*f=U#8-m$m0fxy@#a1ZamIFoM3`-4$@_xF07Dk=uQ<FKK9
zxPk9;s@IWs43xOiU+P9XkKwA*x0sRQ3El$0{)2rBB%`tS0FOag+%Qm!{(u_1gFi^h
z*q2`@--##M-;QU?sEtq59I5ka7FR3Hf>dEXN33$3jUk}!ZClw5x7KhiL}7a~D95Pt
zQrNOE;%&Fm*91)-jnao6ArL!l*PQ&iSk2+So=0(cGG>`&;&I--c~lD!P}}*@K;htk
z$hJ6SzwJ2tp?5&YO{sZv^L4KraAs(O5Emh-5X%chrFl9QPfi;Z!~w`)oGCb%JLGgY
zHcr`y`Rh74eOF;Ira%y?Vz#&Kn)Me#$8!Ari)ED2Cb4Tap_5c0Ofc^2CjA##4I@r=
zlt0*SB;H6%1zuMK*guWiBI`;)P!Q)>|JoOLVA9i{e8YUUcfBD|E$w2t(s$!vST^H(
zi;B{v3}@G&)#Pkp5)*cCIT3si+ZxM^y?WprD#O0Xb9i$1U%dzs9-QnMIC-J{4t~BF
z4ajbY&^w<H0=4#B(h(zMcr>bIh1$*q?UKaMr@BojwjZHaneEPUSQmX)`u@Jz398ll
zsacefJ_-(sOhfh#q{{928)Gu2yi_?I1R$uD2%~5du;_1<QYdkhU$2;{G2dACd`wko
zWZH&1nnAx3ko1oZC~qNZ0UI0m`x5|-o7yFjf%}!{x9GUZ*hdE9Ioez35)LZy4*<};
zHW{I6x9yI7qdf|ng1|6@)%>&tzvAN05w_0}QuC(=E^U(F>j?;86PcWY^JOxYnT41!
zG(_IY=c|b<Uo{!t)&7ld^Gc+y8#PzJrmrB)STm>;lE0N%g~;wB(9G|^*Z>Ow2L56k
zu10|NcJDMTaeA*sAKx;#ZlY50$r3x|liiSg-Vvw>6no#P9f#m%kZ1T9iJqACixi}Z
zbg3GQ%XYWl0O8rk2c>BFNllVU#c7+c(R2cEc7RY=lEl1fBkcHDlUvg5f=AQ_36iU6
z<Ts!`EBo|s*;V=>W=<QXI1!*<TIN_}nVbM{-VdR()I82|ZZN}z73>A)w4mzNK%xGF
zN!f%S(e@+I#v`#U?sCtm$*%eg)C05bJPa?%P$y#RD^E3Dg-5&;=!vSSyCaL2o+AhL
z=o6yxmZ98eoo!IwHG=n1A?ASJpm4R{8o-59jccRS7+bb=blu*r+pSsyAHEu|=woiS
z%2fR~5hUYqyo9Dft3Y5}06pg^1*}nWKPNg_*XcL#(6$;zM^uQk60bY(dRzf-Nh_@o
zx53jqEbr&eRZAr_VvQNtb4HG-!VG<RVNXZNfGM)LX&}AeM|h>O9GJKcfah_~$!3LB
z85=BpRNm~-*a(2>L!k{OdoBuD4aSy;*m0r;()WGPS(T(iI%7iTVcPj{peEbpTizc4
zKl<_nWGI(yH<Vc^w%R}TE3G-aZYBlf?BiiMd8@9^I$%JVJFR~^F>m!wXwf@hVblB*
zU|K4?v$k8s*pF2uH~ac&G??~MvGe!;_O^(alkL}h$kj|I-4PgP>^;rvyMafM@p~*(
zedD5irSh80Lc|8|)xs%W6rEtk+C-fj0x?k7-Om3_4&Vl+GgT6B>udwh+YVWvSBxnY
zM+=X^#n05AEq07&EGZtn=&iMYA8hl9Ah@rat~*lj=xfaD>e=UJr%q4+13Y)W1gb9p
z&H8wm`!w!W_=t$@L$x|_0^+}AclA#P`=0p^91G3{n9CR02m2~+`-{o2*3|-Hb>PCQ
zh0cTRdJ&P$!u^h2gq)+ZZPp~6Nc5*iO}z{$8;SXY{rs)=)XbVnX)aDVu~6l~T09Lo
zSSeAYLbr-;mG={NJ_2K-gbsguh#-2`Y)jjSJpL&uvKo=@u7sXS;j(R%+&cy+gV&<P
zaV#U<lnuRSl3<Gw7w2}tL6TJ7vhhaE&`C+VkH1~ovEi~Vv=3wMXYX_XW-lq4Vn!69
z1gAOSXq|}bp_&|w*A`Lrfht^O3{(pW{O|La8&s&KD<R2J%*ujio5XK?Q_$mHK<CR!
zkk8#3lT+9gn+hZN1s^@I6WTB(zWuRfpMSaq_jbZD9k_3lz9XEmd_Na0XZ3{;9gh)P
zX$G}zFXuTFd{Fm{Yr|+W2RpO%+$;|}!Wm4JlB^O=%|`?ht6dr}{c6|IUh%Z6JA6Y5
z2JUmC^A%%Xeh7~kl6z7VvqGxrgLZ4h<8qOgXk6m*J5;;vPr(Ki(+9d^#3o1dTu@;~
zSVkG9Agr!uFiq}ip^+6vi7t}TJDLE!xhA*CxV513q2YJeUQ#AjSTz{SF<aTWiit(j
zi7?3IOPh*%0rvxn`*uK6T%`+p@ttO)J>XG6BAnKs00Kh#3<_F>_5xr{C!w<|lQ@A*
z>Uw`)jxX2L=|x=89pSehU-7~;dnp{P0kS8w$P+#FDS)DWSF>vKyH^joom%*8mFM!!
z0K=J;W^do)=0<m0ujNOH#aVi>2?C;(0QS#$2dao~@%UV`vk=x;8^e4a8E7f<PbV@h
zTsCDiIiKq%j6m$}Z5T$C?e0xyVBV?h3D!*60=kuWquqMzWN$>8!`I1ss3}`*m;MA&
z;h91)Q%8zFRt|R>IkVjRt(oN-stVYkM>&{G6ZgM_o}CX$J}EzeO`$2~-H3)bFwMzH
zlw|g!QJx7=>Qx=7$GtFp5{do{2qb6*Q+L$?Bd+#Pa8nx43<8K?clz$xcHv^RmB?~V
z*i#J&+-Kq$gAAn6{SUMKF-!gNdUx3I9khA?UJuwe%2w7dJ(jeOnogTFyXQ8U{WnMB
zybA3b?0r-ktDvJ<kTt(_a&0!`BYk?(7>cl*Dk!^9k0iX-jALfOcYk;)vg&Eb3kjLJ
zir|e!UiD>O;Xz;=1c~uOzjt)zTX|l=Mxi@Nom&H0>vQ?pSr+JfnWJn7-1l$8yGdT3
zZ_@Xc4O4|=S=)UyckAHwBnHi$K0!-hFD)qenOirr8{*H7G}n52Qi1Zy*YpwAS{R|@
zRwMdzy&FV8ZXJ+a)N9ZbasBf~e0)H+>Iw{z9qaz8wSdK7Sf$87rDo69V}E|(QCait
z^U?$tn&Bv0#D9{C)2#F?B%(v!8uHol3F=?i*(E*sMQulb_;WpSe7uz}edta*!Jyu6
z)!EF88z`uRi#`N<BFdIKRu-#yfq~F%A_UIE$KWgEh#rmVm}5dGKwbvxY7NQ`UYkaO
zjVp3V1eU)RHSZhIXElE1im#)+p!-<qafjQHlY94DBtpI!rnkfKII8SpLI8Ts^(SFU
zrE4}2uUQdvZ3HeAkZre94ql9^XdRTEVjW8UhULv!o3F+2w!5OAGj^*mribJo$!7=U
zI!ffwlxCY*N<lp1)mO>MYIq6Xeqwn82G6o^yiI76FwA_F1UUTfYV4oXNGFvPNv;3j
zhf_bPn$pzLifDmiirSH$+m4f)i?!aUkesKAltskRyTd|;kE#Wm##=9R#n#8z&_t!n
z%4_E>V<Ol%;tScY$|1MKPk28u@YQo8INJ}i^k1yC0}sLKh}6q_2*Qvezqix>b}VGw
z1tY}aMcYoFfxDmw=tY)*F-5l+rtc<iIp-z3xN%*>#|{!5N#yg0G9}bj^na!lU5<5X
zcKG5VZ3>1(ul7rWQ~?7|Mx)1}kP0Q!z0G@h05yS4G4SSwWtKYMsUi(27o84racb{{
zm2h-t5Aca1H*kYHoVZ*YBQ0RTt}>AItTN$;q$EOo+nPF!E<_?!fmklY9bhW7{Pbm7
zN3|5qgMxvE<FL49)s~asL_sbAmObU^`^yVn$aU-t#fn`&`I-8aYtYt-(Sl|LYftLg
zx!4Z~<}rM=T%*AY31<e_5*_^Efk>;J4@Q|`S@<?N*gs?;TYA^P$Vztb>7H*?=+{t(
zC+}G@nO+Qhg-yVTRQHmi*XHTR;i3NrNN=5zyyD%qlV;1suBRT5dyiO0Aednv_KM@3
zq!j*3)b!f=Z}iKrT?M%&rQ#$|qsa`El$~W%zY%M9@1L}35*2*>9ba=F!xG0bo!(D|
z$DI@^_)r?0xx1jtaWDPlo!6~gsa`eQZ1mt^4b^}9cX;TV31L}jpNjm>@ABL<jw?LB
zR9^bU#Iz88SGPR*siNT-(?58lG1aY)!$c^9l%uc9MW{x!1GY|gGORkI?oArG-T9U!
z>2N+E2Xj#iXua*d1JfKi%Y!U?x<4kmOJ`7i%8y&of6{7h1DrR9-II;SjA2O)^E=fF
zk0_gZ$-uyB<a-mW+Y-734tX_|HVY8uY(tTn;XoaH{7r_ayUiZMvbwvJY<{WT%DjZ0
z2*_#X(bk3Tqlz-8<e-T;*G1=$!=uvLROq6Y`88{pMuQ>#(9erV2#|0An>!)&sA%@j
z%|D&|h8=_D74CI?qw);%%z*D9AInSj|BgZCcU%StVoT2>CaIV~8ZnWujQ{nh-+H$3
z`tD8y{~_A7YrT8^3A;b)5cd01z`z?_`%W6$Ju#}F&G{RO!1Tlqt-3uy3sURg1w`Rg
zv}7NWRRVb23mG*B`Y0}4r^5c+=JIs1&d?k<AE3%z2;(^oC;q4Zu%5g|Wm}W=>tmg6
z>3{C`pLrLIXXHg|Pt<Y`phw^6If_6;@e({X|CyjN%fAn1@Dwm=__~nK!#LrelUu!7
zc$&O;15j`R;QG7yzVGQ|4|3XeWbthq?jxq|bF#^(O4b=$%%?_MTVg0{z+?dv@gG?g
zij-e)=a57W*EaE33<oxGlL9d1$*;!4A9Jg?g4>KgB=g|7wtoOdG=N|?Cl-ZPY`)u#
zVd+-*@_oY^JEw4p_L=bmj3<e@1|8v)bxP9GT#n}l&aL2_1=8VpP)lIilnH6IK}iV!
zbEC(b`-w_i2Dq2w7VjDqxg_&MsqUeNr2*R%!fbr#U~PQv8#?Iee2f-N7UbebgZ}>?
zd5^$&y=iL}13GlNU?O*3tS_kCe*54sfnf64P`4yWuejh2H1*ZIPuI>Zm&6p;-<@;Z
zvVPOe%|)Id3!hvpG&*`W6NEfBOG9(e1`wy)4akF@OVb6sEpcQYEXvXwD@H9yjQp*}
zMuo%|1)Gibss8&{Ux9HYeNIV#F=U1W=CTfe0GuR@sLlfaShZQ(_P9d(=*f%*?NnHa
zrEi$nKC|G!z4&}!JvipEHy{n$o+xu^WJELf{HZ>$anwpZEJ&SBm78TeD}DCFE@`Z|
z0E^S^RXUZt$mJ+@$ug`~=be7ksq!8_K!>ho=@1tMXByVV+PDtCsLS)kM@y8Ac0Uu&
zLuM+wr@WQi;5*H|X%ONwqeel5byZFZFY6VOd<(efp>prT_6Vz?&!W!5SH_*d3qX$^
zWtStJbM^f%Z$FQOPFI>#=aH`O(W8N01R(KKnF3e*xv`07hJoKq!6-XF2#}PI<purU
zWIlL91uZOzf7y$z?l&gByAv<{sAWSl5Eb64qe1}y297CeJJ#o)*=!Hqa2XH3pnY%4
z+3?YznHy49kG=T5cF<=qrDL{`(E(J+@ySVoMspsVc9u)Qn2kq?ibI^aX5@*)bt6`w
zG%nirWnrRey92*yIgfPLDE~PG#i}nhlKlOHPCh3f6E(p3hdWtbgo<();5V9C=Ep5T
zl*}M9smF1-E})yA-M19tYV90{M|@VKt!cwy8N_^3`n-g!8{}a0j(Sn%P;f@Djdkj6
zAMNeb?@kgg_uo%e$s%fh$ZGYgI0{G1hK8x)WtbA38@EXK#X=$vT}L89Atr1PT3#&r
zhU>8UA?A(G@us>>l;I_=BfEQe15V1-ecP{GtOa3C-CyINug<T}7$j=Yg#t|7*&xt4
zgb+i!Fn7a&@k4~I;aHhb494a`Wdk(11YQ13q~<ptJZx@jp6Rx%rbeu(b`b1-9I$zX
z5cR@de;$Jf95mwl(J;o4-Yc_5!_jv(II^lGvvDL+QC|i0<$Z%DyNE4@>cEBL<Jcb<
z6(B-8o_VDE*-I40+abGQ;oj$srh&wJ&Ck6+wkJ8l=!`WR>AVDQi!6RpT+?b9`qtNl
zfaj;GIW(j?BNa{2llH#>-~;#-)cI!2cO=OaT&vpnd>rNfErjVGJ51to{Qy2`eSEae
zuw%Hl$owIHCelv@!rufU<DaDrCri0|eAK>gp}`~f4m=WYDHo&3P3^eC25XuAdNVYV
z+Ncrux+1XTT;*F;A058zRx9GS;(=wJC%ZjC>x>EpC5i6{)zP%cvPycc)3;apl>UQ{
zs+ju}<>o<?8PVk`rZkJ6McYY57V;9+7rie0jW`yuUbr4#b#?Sta0b6c(}H-AHUC(5
zGWURDr;6@<2gn(o7Wj9mx#lNF6gAO02hiIK$G0v1z>*IH!M}EBCJ0H3)@Yzfr%Yd1
z-0A+dy_BAQXKd-_`@DsHN}wn%J>dKQ=>A^iJ<ea_O~ti!9P5e1y^_d$lDe%NdF5i~
zgm=XSd1mUAzGoT4>mJ_Mp4%QJApJpcYhL}S{yKOWK@TR_Bg!|r2x5X2vIfAO{!Tz@
z0IR}8ZEqT^4wylGhb%O<8x*f(tDJS44Y&y*{(Z5<Wq3BVq_<(qSZUMi4YNKcLZfit
z003{YT#&DLJ=NZ3*(Z8uFiGv|2SSu4H<#ZkFj>!tUdf#H1D4YZBE+9UA>BKL?_;rQ
zNNHZcBK}slS}N01*hE?zVAPpTB(-$hhV)-HlYQ<JMZ%p)M~M-&dDEgmR~_20WrZM2
zlt4XPiOKMQ9iZB(RLK3y?w<Sh#^*O_@^}xoN8g2lDNoo8j*KSL4a>`P^B-0$2GxD}
zBOZOV;WN953tFc4*&IFa3-i5@73zcojBXlm*WX{|aF$v9b3-f%-S1>sotMtwYYR0P
zetar3?sG13C*n{x^e7<<!Y<UL7T@qj0<6`Jzyt5f<~*ej+F<m51=O@Er<1Zl8wLrh
z?9QG%Yu;3vjm|NtLK^(KKYmj?{s#xxJ?acq|AR6I8qPzpC0n}5^yf9YYX~;)PU)E|
z#4s=wWPph(;!l@suMi!nDLZ}X7cU4mku}OufP3-0P*&+OM6<v50VqABci{XBRdu_g
ztNFGPNh|d8Kb3Da?$tT(ruLlkJ@@J>+=)iH?xPmpBzmB0^M$ON4rgPcad+rwh-;AU
zn_7l5Tj9|`0j64As6^1as#>;q@889TyiH&^q)}PkYAb50jld^9dxdzo2*77<92F0_
z$tCU137m9eDv5m4*WBTKwR~%^*GRa?YkP;nO_hnE45;(W&O1<d8yl_q*zO2;5Rk15
z7Zb4GKtO`~C_0bzRV?KVwYvt%Tw=TZC(B;3tx|_jmE{%>@>X(b+yO<)?m?>;<vujj
z)bGwi)aF7Zx?cq?14Z)!Ufd&1pwY{>f?iGck+~!vh#dKy2L1H)Hk%!0GvPw}o`x2^
z8VKy$p>Yxb-{ZjlA=li4@%O=H|8jzmvvx#T9=)}bX9mK*Tm#Pi67@PtCx?c0>;v|F
z%ipBSr7wa7PN7lx%RwMP?dHwsavLA%Cr~}JlL|U8`cU16iWA)K-*x;&BAY~Q8MDp#
z=*}`Eu{D#FcP4cZ=<ce@z<junEA79n2tMn{)jy@xt*2sfUmKzU$dcY*Vkbuc<qMn%
zmi;Jfdo;$yeZ=EvQg}4x`+fQ}h3=-J1?b@X3V=}p#8gI{mZK=H>RZuzb=_BXJf9!}
z8~p1}A(Qq~an(h&CYET4A7je5b^_zx)v2^@UOMo+WHR>d<C$si_58y}P5_GUT=w<F
zo%owmxX^}c@sQ!`^k|OKpy9wjNvoRhGN9mazb{j<Nxd&vB(YPnCw|92#du%#&fX(?
z){kpIn<QGpG{JIK)@Tvr5%TA#w=BDHa+cD4Lh#K5A*w&UZ~;^qi9{FyfE53GTdAXq
zDny$_|7h0D_vG0PB6F;Muxuv!&z_YQFZZ<o4rAPiCaVF#kglR|KvP=P_*FUGWZ2D#
z>1#RE*Vy-9|8-rl3~#|j-}CLHppj)&{ka#_({w_DU0si?7(t?WoPN$38z%0Q+r=k9
zNa-dS!B>x+-#TLL6&?+eDj(8po`sf0YsY)+Zk(kJ<q4;`#S{1~IG1~vcWPX`<!vv{
z|GmDty_ciE64wo(jC+*;Ds6YxxIC#JlXxh0X&DMq9@USV7stobs~+1G8oSBNFc0`{
zZ@R=u%6fNX7cLllfN;u&5w=mH2o4t?0M-mm@YYvqGCz0ex#+nBMi@UtIZU2?%2-M~
z7~i`8$-5}QB?&{$C;l<gx`ST1sgNcICR&M*^=<Gc=Lhlu%FBvRV3)ywfw9D9!Lu89
zrh($a(tsAqC@&y&{G8tRgB#i`Jign<Wn+8%RlCVEO_Y?A%S-o-qQDB+AhHuraUb|k
zfTU)j5jY3Zs2Tu8_Wsg3s=X~m5LU+QEhneB$vvxCLgeYwbvx7W+l+glY2eK(!|=v+
zuKu4+1?H?t<`>Og&55Sseu^AFbb4<&zIgADbSdJw@Om@3<d?7@a#R1Qbtn_x`uvNu
zwK`bW4s7%<4FMD7t`!0}AU{oBvG2Npvu+6B+6}r7xg4hI_nBVk!#*Gz2N}G)Hwrd=
z9SV{OOq)L>kp5Fu-IW=-b9?h;qb4_O^+6pjzL4=fH*ddkKu$~`BWp`UYp*m6x~2?>
zi9|^T*&Ox{#a|aELZtqr0f?YrbjHdjYK37Nr$#!odm=*VXumo@#3oyPI^`Krv&#Io
zP$rU5%~!r?-z-y4mmsjGB7+uBG#r*h-YkUJ#luqNekN!Jo^Q8KiK5`n+y+R}^nN4R
zQjx5ThW5lrni~c$)EEIgSF7Y+005#h7oBGl)U;Ki?K?%!_-L6Uw$K%s-|mHfwc}h)
z>u<Na6f{t{(L#LlqK^t=;r^i9F?kXq6o9_bzLdH#h?q4A;r)SrOF(>9+oMqZv;SIz
zMNe8W3<sO|+4M^N7UgAWm8jW_gaGmR><-27dwEXsCe*#^V7Iplrljt!XJzGDV;+v|
z_Doq!J;|aK>Sr|UC?kE$U-iq549`XQi)U}%CAjDu1N$poM*Y#`>2p6*%ct0K448L;
za#>zAdTPq(=$9T&4S0tD!}l6IqFz2&`PAo_#hGf*!C;Cm51wsrh5oWuhh^H$2$zTu
z7r}(58;27gWrUx1XI3_?_5s63ogd$^;XwL@SeeUx_jp)x@?!^$8|p27IaB`|0F8xO
z`{)B~bE^*`RIdjtH0kgV#f`Pb<_%mWxzwDI^Y=1iGqfg{Ga5jb?(thRN`p!Z@si53
zYg5N2)i+MsEPE#e1Q07z<4o!^b|V9>BVw7=an#T2w+2cu<OO8_>71Xeq1DV?KK2od
zJHK#$f(xct<LK(EPM>2xcWaIe1>rqV0+r?*v0gtF$-%KDXrkF5mj*pYb|6;60Qrki
z56q4Wx6KfwKNU}%U+F4vf0X3?W@B+rf8r(~&Y@HqYSWRd(LVisd8)-jK^iP|+PfG6
zYPkeuwE#gFyvpbiG6IeK-f39MY(JxEq31yx<~)9<?HAq=bv8_g$5saRyt=4}HkJrf
zXs#&N>Q-VgFpZB4ExE_+)q_{t0#XZH#&)(jQAXcT2phW9d2bY)8H!e`eF4w6HS+9Z
zzS+AKq0gi>1aBaxZ2hCj<d~pS!V#vUIqd%vzL9vK;R+|FqJmdSW@Z?@l6XN1y{q>z
z!lXTex+fK*)rVCEIvdOm)t)sl?XM6|6b6uNS~KHl1feav4VdG~1`KPw`u9@wO9F=S
zMnSEi$$+cLr0eM*Iyhq0k;O30sV>4|!Sn?p2cq3*fZVNx1H3}6u4z}~LGa~zL~BmD
zCyS%c5dc0kTlqX{O24fOn8|EM)M=KZc#y)?n?+7OHh&v*CDfT5^uqY%MyAP)eC3;n
z=k5^S>1d#+x<yl_t>Rs5W7;jLQ5b;gF}cWBj{5$V`>bhMpP6e?0{$vmZ%dp`>$Lpq
zG}&z*m0MqQxT^V{K?AmW2>ib5jBn1NgyAbkhvN+wg;vPl26OUigADvy0-SB8=NJ#E
zTeD&D&X4t@OBp-R*wBxMeBslBo9Giqk&OTbBIWc+5k%<Iq3Tnmi<4GZ(D3>4+Oy$~
zNf0osjBQOg#r$`ExBf(v<mU$qw2AHv!mz_KrQtsyU@kP71Ipz+MQCE<G_q_zh~ZY7
zyd6}kBTO>3B>OBbN9~O+ke+lix`D#pDoa0eir4uAZCbXTu!x@}jo#dns=mGT)RwBM
z1OrsL>w09XSj7W(fg3>4eUhidg|iL~@n??|X88AfIy(GT`SeQPF*SQu>*oK=hYxZN
z3Xom4oF5S&4H%pLyoWDpw)Ln69cQS$7^cBUNa~JFuF3O6hlg2*G$!>)$yi=-U~*p{
z_EuNltbWke{Ey2M2g<_tf=Y}A_{$4-VgAwyMT<k2F5jP%7^eY=gio1Ng<>xeDUlbU
z$(gLeh~9zu_db(s(2&UJU&?xdk^46y>r3P!MV%!^ykvfX0w)8EyOmlbgCu@h7idE;
zY&Lr?1w?x<gBx@{2zH3mLWA{tUsn*knE7E7-Q0E6SFI;qGcYQCX0XLM%x^IYK#3rc
zS%BXT&$-X%<glI1G^9aMwa?dh{5n<q_+B&IJ1hD8OUbM>Gr08S20*aJJM{x(G3J`S
zNy=ca3-wUUEosLHz}Ty@u#*(%K=@zLLI62)n1Z6Gujw?%g7nca16~vkXDU{m$RA_z
z%G8Rc!~8{RxmtcakOY5ek3fT0=GblJlN!+NtjT-X54i_Eg%?059ltAx0V^MBqZ1$(
z!^oB;I+U2z^tdkVVEe!4BlmmOGhePa@e1FO4g4}(p$g-OvglrVQxUzYsX<q+FV=0E
zu?5^>m$;Kc!>FykoA23|0m7OmQ6#<Ry=eN=7F#(a{DR)}%VxFRz&>BOQ+=2=><%Cu
z136jctL)hRJ+GsxsvN%fPXcStn=R~7ap_3-mN9b2@@w*q*;}X{33ez-O-2Z*0uyx$
zs|bxr258t9qBIA9`5aQ5iBMX0;6IbPO&UdWu^#-Y_4R}r+c*$ju@RmQoLL4!{Ev8=
z6aZ8ZCPLv>gJ$rvR4?58Pt1G-b{+@~3VHproG)ioBbtmTboyewFf;{b^TJf|U?dn(
z)(L%&PCx+Hnl~3)LMUMPoS7t9Dj5_kE&>8-m{$XpsapOzCJNE3BS(l84(QR(wfVx%
zRWB%-&Uu-gv8$7_9a*$ZNMtCsx!q727q>F)hj?mT*_AVx3TW>8dsIH8r4VB5qYUC$
zMAj2e;o1AkFwq)*$0q6aeHeh%*hp5a`$EH+uvE2S*~|pHjW3^W1rCz@Q-6Oiej|YP
zRW}@k6_5Yo84f(!WH22dtB6g&Wxhz>%BI(V$1FJC+v~ye3qhBtxOHiJQm>whG0Oq!
zo(~`s^T|>`(*Dd(e`D@RO@K`vPGSQdEf&a7%!Hs$&FYgal1@zOF9HZQ;-m0Uzu6sN
zNzCeLDshY4m)+3S#U62FOt(4=__ZGTz(4x=OWiQpMJv+ST6B$;fmkN;;mxKwJRb~0
z%F?3*xM(%zmmOzg;u5-pvM(@%B>4kEX+TyRNGbxj)Mi_Wk?=EiJf}p3)brzCd+_~J
z(T$37K+l2V=)WsNH1U&w9c1yx`ZnOu@{6ZM02^+-&)p7QrLO~X{eFxBo3>bhW^#6O
zZ<6Zcp!lQT+kc$Ar>)Vzso<yocCub{Xy#tRb}aU@L6cVdPY3TMKv((eH**9uO+~wT
zk$OpSe8dpTYWI`rK9&&iz7qYWc6PAEJN`Zl2ZWBb;rA;JIMsxBr$XYhl;*Q>s14xf
zSfj=TndV5I?<BikrVO@F8|-WUE2nj{bkVa`jCVWw0OpU1RhzyYz_L_lNY}w=QXmC6
z3KLzd7DR7?UB(CzzU5_;yYaWF5c}FZtOluSuhlI?R?y3U<u@J(72r>A>fL^xQ7@Oo
zEZDmpmvad?*JOAR+9~K}>AhQda3$_U#86Y8FT#%IeIHJ};wf}^M@CRk5TO!_$xLgw
zP0I`zQKJkE`&C+SqEE5x3tlX2XC$5Yk(lI-C#L+r<rap0gCX#fpE`WM-@+2vlaCIE
zntymZL>ZdqCSB^O$S(8u2V~71&rhO*1Mlv*i~tnf0nLx9#>KyK@=*!FD@q=46<IHA
zgWt2?$*W(J40?&)zq22r%?8wXDOGTRPY`<>0lb*S)5SOx=1%9@nNiIBnJm+xGmpAH
zoec)vkv3VKMTQABC@J+SZ)6pM5wIoa`%cCpZ1Q|30g_T@#<;i>K-BoHZLO#Rwp);h
zrCt$Ka&2nrLro>{`nH&*70s8;G(Z=HI7^s~Ax<gUc4%OwqS8~ews=m}=$|J5_yL%{
zf!W}EiS@$a);Zy^X#FU^HZ)g0<ourEmG-Mq`0>HBe}J;s$AU}v((z||p?a+ArOW1@
zO>XMibnL7q!ygn$4QX8B0AIx<+NtaVU&|8DeR_>=1Ig^0!{5^b&~<jxq@l@mLZjlf
zucbXkR<atxeFJIismBqY)ED1*BYxgsgOtqLaF6QjjgVD%*bcV|ApTpGL!JRqI*kQ3
zj>Gp;YW@Ob97O;?2I$MP(VW$#sI%R2f^h$^_|#VGUH^eCHvH>}9Cg0!Kg(|$7p*V)
ztOPrKO|?q3bRbWpoJ4&U*@7GccPB<C*CtzcHJdk|0gkX*Ebq6!OyP>z+%XWSwop!P
z1|(b7exWGt0IXVv4I-DGMqUBOuNT;{-eEU=lh&9?0?c3HXUH_j69UfE^hWJ|<ePa3
zA3)E@b1g2u1>g1~SKWxdg~}%zezomO4$kEy<YDI}{-3c=!{kmAn^jC#pmf<g-QohX
zVun_oNQxiqVRc>G(Gs3=ssr7{Y!sHsWwUHl11X|GdMA$%eC}MISvoeq^Y&*IpCn;k
zteYe*DcVtSTdbevhh1LZvLa&85(8(>nA){uh$gl38~p33a29Wjv9U)-ohpNz%v;1g
zD?*bmT~DlexkRBcg2$(uK2P4$>;d{^pF7+cYa`LjNXEYpx5YUV`LA3x+Mo6@>(^g_
z^|U!EG)<*xjceBm{cUyMjZn{)CQ<n17Sp@Kl^D~1F{&HMC?)Uta$l^5Akwt&il**$
zrn-`N6HRm4dFj<Gc~1`PY-eB#26G>f<MXT>hu?@05~65%uxVy~U_G}b$Ecs7dH|Yo
zKB~S)!BI(HAt(J|%Wa9fk@qEY8G;F`uRO>fUBUs!_Mm=v+XqigjvO1*tWREwS6s+8
z2X^nY9IPZ6O~Q@v@A=v!@X|KhIef45WSU+}E6%o{uDe$$6RxJjDPe^pF!HNkcxIvp
zjN@(@djlz1ni-aC&6@A0{1k|Yf<0x{H$FdjNN)S>{^G^;g_>-xH=Pj-ibFskY_+<&
zdb^UPx+QGxD0JZ=HMb9kyJ=NMs~*Qp!D3Af$J=epYQCLsMckd~`}J)@=r4%{zEKv%
z2BB`v7Wy|G7QWCw%gnd6_o0|Ai+f#d`|yUIs9Qzjn*sjBJ+aO#S$mL}d8EFGi+jT_
zf=eU{k^SA5@NUNVLl&s$#}Sn?zaV0pZfC{96ykn^CSKMP`n3Sk43q=)VSdHqpS7Db
z$JsZIHl?M09WD4*cdC7Dw0l&%Y1B(3SfxU9UXx1hLM}B^@lj|OlhlNN=S9t6(MzZa
zuMLW>xAUK8mio7*nT?$G!a3psCb@-V22Pg88NyF@9h|y7HA!!jzBM|Vl;nLcPc)1Y
zDU_Zcyt)jc&zidW=<LXTvD%YvxLc(AksRW6$E)3J<`1*BcRhyztC`-bWJrbKOMhVZ
zrsFiV(LN__fS}62aeT$e#)*6Re|`Cdg{o{z#>Y<XE|$K$e^j<jav9NbdKL`m9qzR;
z?k+6CV->7OPpNL$JO0tVZar)?C^mm6X!egRVf$FXFYdH8VtMe8^X$Q|Tyr9Il;17r
z$0-MuNzuJBW=+yan>oDooU{w5Ij6tx7AN%V1`v!lK!%@u2Ho(S7oKHgsQko(9r3>C
zw<N-A&f?9zY!sBK+gXjK1RzE6NSf~3aBPOvQJQ#XwgECV74gtpR<qtYPj`|*q$a%i
zzm6z<9t+0#U)En|U<NEn-O=B=p);^ZXG!52Q9;ClVG1n=7{-COrALGI5N1!HsO&@b
zP)VWSO$+V>sy&7GXAjyX1p-TCG=JRR)`~pFaghgxaEtDjgdS;g@UPF;?SMORZ>u(y
z+ms=WF9rSdI8JjL>k;ASw6A;$3I3MC-Dv;m>#Q9A#`P!$rWzdzYQ>ufrXOY^X7x)F
zT?aGEM#han3xOhNgWTZj`Qr?zUHFW%eR4qR)w{2Ad+bReB^*JP9SJzo7Kaw?-171<
zViq!Vc0N^DYK?h$Wvar%1=Bj$V;VAi-$yG>oK=H&(Bg0lU|Rl9M!KeOb!VdqQ~ddY
zHx@w(n~KMqG*rGo!WU1PBGaUkFkYX{M3Gl7ZB516uU>ZOF&sL{Nehk3erV8|TEm6v
zEjX?+uKKfz#d;N7>?`Gh|6}py!7=zLo3c@-rCl(fAS9+XDkjPB29Uj>hDe{$!+20b
zbARKz=FT!4xxv?a2^>N@vyD_80;VP38dT(E;qImvylQb<tsKhRd}1QWN@x?3*Ktfg
z(t{kN-3)?i7VJKuSHFz^XOP~<SWl09u9s|n8%OHlhmuLIX;3!NE?Xq7=;;=z|3Xye
z^wQ1+w5Ei{<@u79S3!*w(HWsoX&}w*%g#wW#QS$D)8X%5=;;0_jk#f5Q3ymuI8UJQ
z3y&*53u|_L%|l#r<!j`o5o7(P64{v@fPr%ftMfCoIs|#X;+-p{VR9@fbuN3vdikgs
z&Y;TYt1sx`j%&RJ4Z8U+`E_EeRJO^aUUm$`ys4f2#C1KZi_bQ?Dt0b|N}-{%{zWou
zg$YoOqHU0EMf$lfnTl=k_RJTH!B<oI<t61q6F*o)M(=dp+|<LgrJ9^hnhd}Vd6`J2
zcUIr*#WP12J~BV^#BKy;{xs&c6|~?U|HuLXol)^1)Ad~kd3>dveTqmQb^<>xTFWPX
zlDaS+bUFgfz3RNq-1m|*EGJ|pjS!$`I~q*)P4H}ekoWm3ox8WD7!?YOMRAc8zL%zl
zzP1X1E|SX8c`H#~9dC!#>DMN@mswgdp9in4^!4FxtMT8E*B>ZBU$~>vWe3x_k)#bY
z^(kDrdZ{F4qw|=e=k9tv-0>cfHWFfC$&;HPuRE$ynK<d%OM_<x<NdW&z|K^j=b~^k
zZn41D0;}5I`yZe1?Mo~4@$`|(4dq@poN*R@bNhF)jhyo9&u@>%=AFo89Rv-)=`2il
z4S;w<n*?a9B<gG$iXKcr<g?6-NW?MJ-zrCta;Z4*3X0Ab{fE;cNsKWJ7{iI#wkqOX
zH1|&5dZstN0Q4mBz{%`e&82_rXDis@w>IXL%fI*^OJCGV#)X=R#shl-gI2z1-~VTJ
z`Ff93|Gvn8JN2phqpl{V;*q<hj83J(&*#BU?0;G`k<*)I0t$$zn@aN~cjnm0q`A+s
zgR~mQ2aMVU|9`0v;(^O|Xnp>dK|D>d2H80Qo@3#6Ce1+jzdz<5E5xvns24?8dDv`m
z!wn?q^r3hNWg)GE>U9mfycTR=!0#OzWi5{^O9bmT1mDEC1f2kWl7yo8b8E(BBva6*
zwW}20je&2sf9>{=cjdkNhJc15oQ8-FTmCa&>B9zKV|w5EqzX;qonP){ey#BLZCR+m
zlc$hhCy-|6PJ)eDm*>flXFx$Wq@0ezRbJ!2I~{vcan>(hFvn_m_37E_Z5O4G#mSnk
z{?}iY7-Vcc>=z?evKHf=8!}o|9(~aMvhQw?lKi?J44V5xO2>1LTkRk%>Ry5{NlRkc
zuq6E2iJ9nH)4}zWg{LVfr|(FA4;Z9%jxbXgDgwB{zO41Dq#Titr$d_0C<Yl>XFsyz
z;mYaK!#kX*v@AHndTF}Tq2uqN!LkQQJso~J=cS#qo&em$FS@N3{WCtqj1MZk1r-c|
zP$3t+uUI^aLJh2HPKP&|pAAbz?YOF#6u@B0ye=DJUAB1Jptsa!yH%;2_CEibEcR67
zjbXnadqQ0dblLR9V-e5Z<tg(%nO|2~<Lx!6*37;69pb4|W(~_S^v%41?zDEk$1_+M
zkQVkHo5eB~-ev0??#aoU0{!{$JB`oTi#Jk$Ovr{5uUjX%z#W&A!;E?JsC+QOBV*9O
zG;(z2kt%Qdd^kUHdP8o~??)EM+NX#nW1$k`C2txPNAAc6+R}~;vcE`>7`P)G-xeFp
zl(Xa@4JB{a+6*$Cxt)Q}?*dVNlm3p$zL;}&#g()BAl>gcvg+hXIu5HpP4-Zl!3(w{
zOe*3w=3735t1a8mqrd*)RYaw851tkHf}AblCm(!zj@O2mg+IuHpLq$(y>$uCFk`1$
z&oZeFeIHsG=WKp=llNW?bmY8moXgMMrB%09r41-_lx>F42s9!7=8PG{h(%QbG>Sqb
z#X3B6ZUGIydn_&kbN^F6AYjw`$v?N5eyRC63S{US4<W=Opx+RipjRk()pI<J8jvBl
zW>Yv$MCEgbxyA~_OZg*xQ<?gPE1U!qSWsMDwOWsBNj}xJbDtvp>hpG4^aX-77P0kM
zI{jBV!y!j#rpIzb7w_4F+KfirQMLS@*)^@r(Hg8|vj2d_ce9`|yG&_l(B?l<!mZbI
z&M;j^RJtKC#iuB0vEd`bb!(|&Dz0S7$^M2^9EWiO`cA1#GuK%t*Y3Lq!dJ~(8n9bb
zy}=40G2QcJ6A{~#k}3Jk`B)33%G_-3RE7}{YqP)Kcsph@diVBfrxU+0)6j&@I(w~{
zzUyASt>ds@4YrRA%~9k)v+Skz{@0F+n-<}$%q<sK1uq>9R7D%xq&5uqa+P^uV-YiE
z#-UFxeq<lsuFNTBY_;b5&o)`IcInq(AivOmB6_8tsb^-Y<(1rS+EvKUZTJo^<MBry
zupEe;*Ls4Z73O{pCLV3drXL^K^L%>F-`Es*UjPvrdxAyQKc<gSLf@b1R2`6F*svrv
z^RWL#$MRvg`5sj;$x<-kG`+od<UU7s_`D^NT|+!y_fP8;7owx?Ml0HVNJ`{YZe5Gw
zfaKWQqN8*HqJewdjRvdUf}?(H&l@0{9C$8ZF#rbIpl9WQDMtGXi+~ZesT(E=ed_9i
zhsM*TG?nYyEOqwT@j;4Q8%IZRt?GOSoUiJ|R<{<RR0GEJ=p(2pKN<S7x^4BMN|e}I
z=erp7g!$Rh`xjG&8qw%+1|_34`om=n_a0^EDUBcYzLR0n75~1gC~<meI7!itu=-5U
ztbe`?*C}ob$dATWz}3R3H8yJq*7S%Xd3U5|GC3xKzoH*=@yzh8fdIsRMqbXl{8X!V
z?(M^t8!<|UMm*kj3zu)X|K}cVBIk!b+M0}bR$F(+b4eho_%LGZYVc)qw`k^cr)bSq
z&l_JLBRsGWlj*x5(qzgsM117LE?qaKx6Xd<5hS<DjH(+5#_qv`oPx1Lr<_Zv`O@*J
zCVTR0U5#r&T>J_6bSH>n%vLOckA7RAY8Ef(T{FbjyEF2fe+upO!t@&gKMB9BxEflv
zs^pPf(Q2%%%|jilr=S$_f#*T*Pd~56bXkld6mNJ!EBl%1|0}a7<+xR3?zfQ^9k;E0
zG}AK{e_u4a(r6$o-i|0NBYq{5BrtsI%W*YXZAHeBeOd4Q&>_BBS?z2m@^s>@twLqA
z@e0(#$%piN6*Q87zykru{LqHJoxnGHVwQ*DsjpX%f}Ve1u?(j73>HmZIuNJkaHTFO
ze-*P;$Us?KZ54C9_-2GWyL^uSDNRfY{F8p;9|deKG|Gcw2Y+D`cGL)&)?$hau99U@
zsY>XrY3yc1;6Fmdf9#Zfg@Sd+K10ALSa8Wm&G6!AZugl<)SlMnT*MKU_kE(FYS4(8
z->5rx-O`<g>OXez5JqUyvGRvhW03%#X4r+_G^?Sj8~?eNrcsxZw7l1d{95G7d?^iu
zSr{gY*VoE{l2HHL9MUG7aG1H-tZGVY!!UgPZ?SY)Rp<TOF@nFbFxfwwCsO+Tg9@wB
z$h5V2=nI6!D)h=tbwHer0NatKs7I&MiMwwP3PdeV*0<(t=y6vQef8irlhymBM=T1H
zX}x}aEtKij`HX@c5UH?4E4&klom-|%I}KR$@bfqKIS8bxX$IefqH`QVejKU1*`fV`
zmH>8r+JDGkkXc<tI{}q%)kjG2iH3eGAyQ*k0}ZbJq-xD5d&|8ASce%h^npX@70Zst
z1t>a0ygqC~IKk*i95Dpt1JuXr9ATmUq6?tOhC}q0XLF_e?Q)BB4rjsgrzTFGA4Eiq
zQr`^B=vO;Owv3(_?wQVH$YPA{#zUOQ@CpP36og;|=8hBorgrY0<)!pAbGwf;EK|zZ
z8x{)&AdiWh<cmU&X*FK+)<pc`e|Ptg`%@QQgj~Z;<m^>5A$eKjqp){D=bX}AobPI<
zKB=b&un8bt)2kMzy?0c?AuYmMJ~qZY77phWTN{y@uu3>;p!@giv6<H7V1ZE?GW8lv
zeZ8_CQZxu*%-!PHs8%oPWpoEMA;12<#iqF*mU3#=NeX5|_L@uPrTSIH?~b8XKCEh~
z6zJ-}R>TXpb`xJYBITd{&+jWnh9@J(bdFS73F;h3(Ff?{-V^LD%`elkCRw+mX|9sv
zpEuVg#}^_mjROS`V}C-g+}^C3j9$G&R%FDrX4;t=qxJ=zK4Gu7PC<lQ_7ZE`f)e`*
zBt3dxdq2cgN`C@!MBzsL3r|-reGiYVK>LD6r%}GGjSF^LyNqaHg9*aM2gEiGH$fs^
z({+?)*PaiZ`nla~Q0#e{*uHFhL(~|3a>=;*Tp00)5Jm>3>pW(dbOtAvYMdTBr^;XR
z)uV8MKxDn&@T+cdY;J-bW)46pvo>+26GUn>w;yXxk~PTtrK6_XioG6M*U7yf8>DzE
z@&a`RG@DMq3!B;pCr2XE*`QX3pb2XUu;UaJs~4xj#@2jpVC!Y8-PIiTvTaXlVtX?~
z?ve%Rbg1Z3zX)Q0eePQf1=<D#mqKoa?7Pec7JP|Dgmr!m5!)q%uZ7oUlfScLgKW5d
zI&Yo)2Uz;}5C~-lReA$0C4aeBq9F=XI79OOeQO0*9aa*mkqi)hv;N$vUTL%aI|JoD
z%e~v!nd9dv;^)#o@g>w(A-T~cQ7Ln6z^r8B+u*CmIP@{^nn^j$T_P7B&=Y7;^4xGO
z#I~&?Eh+4A;WP3I852@pJ@OZ5E~Lg{q4`Z#A;F+v%*87$0>DW5clhMSo>2dsU+0GG
z7YOb-e#~I-4_E>0g$oTV92H%sPJ1PKu-{jRO$u#Aix==M<&ls-zxx&k%e^#@hm3pW
zf1|4bh>0=#&Vgj0Y%91t_5>LU6vbvU8O*~*_RamLO1(5HrXEw4Bxz+9o4^rvkUtNE
zWXs$o>IG<Xg>(tTY9+B_hQsH*GqMT}>yK$GN^Ff!f7-0tA(Ol>$kEhK$qo|%=hjN1
zG8CTp@h!a_$i(9nuY`B&Zric8lkMFK`nv|z%mZ8BIH2WmuT@fbrku6>V2&9cbgLIV
zz_7DapN!xVh4t#RNZ-Y_GNhXbBBSZ{c?IicUhMB{TFsj_no}~jlE&+Gv<mM$WW;kA
z1?Hedxw0k`^Q^oRWVa1=5ZD+QpymCvn9Zy$5xNh&&Fg?zf~8WglOGWtCZ-x6-9G-o
zCGJP7fM)wgOnUIJqP59jzmnheEq9x8d9kvdUco(G(8TP=ixQ5jUGX%M%ui(%Ltl6w
zjc%5LTMtDjg#?QPWy4U@$JG!%9AhTSxhc0)PWiBe1hd)oxNp}oYlo9o*%{C{HYmv6
zoXSCZ`eh52fiyM9zLa<J<81lR-6JQtH9y$UtXt<uR*9UR^KK*={*EPLlr*bic1NCe
z4wJkbr$_bQe82`-v*)okRfb1U5^&$tPawDOooTzN!M`KyL^3z@6i8y<%w!tw#&Z>K
z|0t8u)-EWWetPy^;id**%M$!+j!{Sg2o9}MQ9la+w!458(H}Dh;RirvER^ywiET}T
zMukXDpbb;s8iAdAOb;&lb_S>vt4iFPuD5AbHKecI0&}UQx-~tbYNLBm0_WR$yTe^u
z7iJip)bmn&JqjQ15rI`u#v)7vE?o*@&pTv!y^73?ao&d?kp=b18TTh#-v45#C;#Mp
zxSqo+VNPt&Qds~^kN{&C(e3>2FK@Hs!zA!N_sv~E;u({PbgUW_jmxr=XJFi0Vqn~9
z=-Z&owatLPU8N$TNS@G-5YmIA;vr-%T*9iCdHlld@d(qqhtVZsGZasV&c-Z{mAFp&
zD&k`2t@`_R-wkd(J12{OcTpM2`tOzeJ?F!=@F~@WGX>;{eeqB@pj13#K2MQu*-|UN
zMMRrhm72DY7F;QMW_9`7dsEFuG7k_SU8XhInpoVs*a&<sXH_9Hz~<#iBFb*}Yc0#C
z3tV$>1W*%L&N7-7n|UiFG38E&&v1{ptEqhk?tEUpNfPQKqwdyh`x#<OPZYD6w+6qM
z)cB4}gGVm4F#pR2^iHV5SJ0{Z$7@RHAmi#YwX?dsKb@zJyiA{64Dm(Xo1Ww8`XtWz
zun%BLO6a)RpJwH(YLWt<qOaPISBNW|Opjmpw%lF!3%PCUENwb`e%ZO&{taO?Jyn)1
zWFV6yULS2qPixE6>vNW9`5f_<PxSp}qitGk8duv+e3Ud`Z%C)l7qRlWw)!Wu5Btoz
z;F0AYI^453=IN5f@p+weu5!J82yjm;W0~lNOR==vKG<5ttf#J_HPvRQ+q4G_rvdW1
zV~8YN06A54qdPo(c-Hth3*x7Q26qEK#Jkh29nSm)t_fi_j*7!>O*)UJxM`Cd-}t@D
zdz<(rXjiAzjFQbQfv1`D&%}$fd(G)L2gSve6Suzr=POacC9ItF<{*FcjQYIU5gpSn
zjJ@glS^l_hS3*hpVnpL|sIN~7tBr~brTwQ9`o8F6G<?{YttT?^%2%EHv|#1QY@uO)
z#mIQ&{pH{sDZhE#^em0JSA`JW`k5cc_bq#g94fu_H&lWlyEY(drR@BKz3q3TVK^6`
zqR|0GUx}<kR(L_l&_sN)Y@^{@SV>9i<MfR55BuAXg+xb%03r1pMUM_*L~k51qDzR@
z^Z-F>RkHFGIe5Q-FnwGj5S63KCN|~yO=89i^Z-@&L=qb=#i1SJ%n?qVJ$#T?rX^FP
z6A4jnJR6Hwx5Gz%h^s>5q$pwKb1B&Q>gQmLis?;rYLj?bF2ONQSy4eFzIb;QVDP(s
zY?4yNSX=48edh*3b?Z=pms3oqVWC2LY)_%;<B{xU_Jx$U3Dxvh2_idR*p>J8t;R2v
zDg#fGm~-QkTO-vsIP6ePhuDiGr=+vOyKj8^wP~z=TSug!o+_fBK1bBMQWWk6>hHnK
z2#IQ|y#9k{p}2lHdj13E!g5fBoIkyw_wq42)C!43Et$MD{lBRC?r^I6|Npy`l2s}~
z_R5N^lPzVhke!3fI4J8l_6Q|g_DZtHk<B@F$+2Y|>m1~8$T&DQhu{1De6Qbib^m{^
z>-=$E=k<C%9}~caO`^3VIRVoK(HY*aR(x&kGnONLIE%^q$HoXwd)TcCmt%iBbZx@$
zv!9wnqzZ%Xh6%+%87#`&T1YEG^?EJTB%rh|i`Qq7Z1W_()BVEn(qBL76_l*I|A58h
ztWk>$HX`{h)6UMUdCRY4mM)9Jaz-kqbY~dX8A90FSSIn{sR=P!B=<nEPO)q}x~%?-
z|I_$|OJ)ZnzU~b@$762yk0IR_&yzq6*Qp08^@h`4KU>bs^r%cn-VcIQ?vs|X%^gnH
z0ymu%jR;~N&W!avy*S(>(>C;is6+<0m17Q5`jeS1zBR|mEkw=6B`s0GG~#q=M?MAq
zQ#NjbOy>|V{Q{p84Kgu-mh7ws<J#|PNSjo!V4eide?3;|m|_rpRH#Ki$&8H!y6j7_
zVSU7vvTw)TxrdV@OLYA3XS_m*#4@J!k7zkUeriF_XP(>p)Qs!^3|zssfMDI_GZhCA
z3#WJAko1Oj+uvJzUJ1Cm&&XETFl+56QET5S=fANz!cw4jm!-J>f1A>YJ=0Q(2ejLa
zb@0H0rg0p_ma}$mQ%vm|U@P5p<Snk~hKVO3n{NPo4v=sF6sV}~2Py5k-JUpA(Eu9{
zQH^4zszHw)-D2L{KQNNiu&xoVw8!dQBb2e``0%L8Kl<ad#17*#Sg??%@TmM2%Zwc+
zA{iU|fziy%&cSpp=v5xM&qmawpOpXM@iPWk9w{r}#M124S5Mx3<@Wg>pR-4Nf5|O-
z(X?Lh!dB1zph;BfOPV^boYKj0kKqfW(i91K7rkE<E)lv0h4dzCe*p2=&THnqqN?e|
zO?%(9YIW21@S~MqZJi0<%mqvS#grR5KkKbBMG)#&jFHoCTbcR(9iOMRB7u?18+{OR
z=2G13oq$vXp=ot298$9l0iq^}wqo@QDD|K^LPr8=VKjc$0O(9mND;oSk8V=$O#I;A
zw1oi|A^g{Ne%^FI6w*BZ94dJoKFC9m%03}gzWH6%lBw%{q1!`>|K$1Si3{B7g423q
z$FVO1^%}$@8+(|O1SL&3{@iz1>d12SRkYY$>DzA8+s)(~<lB-=>wTv}{rOdYma}PO
z+MC~Q<)Lo>NY7V~KD)MizTUD<hO}YMnQ*Cj=9EGFx?i?z^CA1Gn<2&<tDOT+Tn^~A
zv#}1ui<>pQYB3DfGOYN#3Ha&To|MLT;^say<hl&Y1>yuIt5eQ649Afgksy;~7yvFS
z?Bpl9>+jM?C*xA1tnavccyUVkVf-#mRYzG1t6%WUmD3UQqYuij*zr)FiAhrejjZEI
zSHtkP_qQB*U_U#ELvg;zz!gAe`A;iC52ZM6dhITcxjy=tqchLr#;R!P`e(sZ&A%_L
z@-1GeZ2S8U{p7~YB3%P5?6m!`6*Nnrp3d!*KS3zf;zJ$ipxqj{5LyRgCGX0hW{jp7
zo`gP|(NobrC;aeRNhPrv4(Il2q2a=6z%+7389XG^RHKk4-8US-O{_GgeCKNG%OLly
zE-KOoQ|CX8x{L%8-`QSFjO;z!OHM22iC4?57WPD)d|5fvTjF7GO~hd&3MrppVCVrY
z^d3^SP6<7L=+3wY=Q?x#y)#naQQ7oT_@qr=8JtwS)#qqTR=cLu@E}AON9x$EtksMw
zAMwc3M4-g!EFz0n@=2E@<Vv0a6EF)k@}hx-us=49xR7dQw&BtMU%%Wgh$=s1h{g|U
z<f3ni))v_tj@aeerA|(*`O=8TEuSTkck1#FbPK2605ruc9-Vi`NHGKUYnacS_nCb2
z79~}+CpF$QMT!m#2mbyeY^W8ze8z>p5PesH`?7H$@dq*a=l)Pd6zfX03Y%!%0T`dH
z*rrBf7?R&%)+v(uBq?oU>LKHE&gB~-{UU$d_m59Hd81s-IAm{rt9aB=bm-va`k;0@
zcL4r_DG1I#^Z}2dPlhRK?5~v9HIHx;7)rpW&zybbDEf!q<zyH3-^Apohfa9|k9_73
zu~6Wgwa^J3W>R)@!<Z5v4f1sMnj9iI>a=9DDXPA&77Jjg{lM;Y#!0h>yghQI`h4<~
zj5haxfgbARr{uNx9emdp|1{QnIddk@Vm((nw~A$vY?_?;@8QkPBH?r85223!w%Oz6
zeWyZWW&F10iJXYTSldp<rO9D!N1;i(s-}bPpreNNZ7PCaD*{W+GwE=R?^n>8yzrbz
z>>Ef=YPm@LZq@%ClQC8qI<#c{hNe)+Y>v6t^p{CC3xMsYUuHT2SykPgZ<G&l33THi
zHatRRnT_9vt!4WyTbDtdEmb_dIyc`_v$>UFif^5dpIn1!od5C|mj-pUx$;Kw9-JnB
z_sKaS89mZ^3dVg<7d~F}`k^Q#>HD0Eeb_vs%14dNG0*(W8d>cBYp=`EdK8n*jBNz^
zM0j9CL73H3{}dgLrEjw44&D_0M!z}vqjVRR=|OM&15|4+i6e`&(+{6M0=uMxnItWg
z$-4S?bHsF;&G)8eT_|RSIJBg`^;@F@{dtJ(mO~8Dabxq1lTTjPDpzZfmx6f%p6qss
zIW~q_K((Oy!DA9v|D>Mn$MjIoLi7>BatR#H%;`0WSv<_ulG^(Y*67Tdw&Cp{7aIV!
zYfeQH1~+xTZw_%cKWwtRY~d3!b@f74%>H!UZR}EnZ@aQ-*-8?6#Z5AAKBxwbQB1uT
z`A(z>^T@#$WVGvNP$0Spq-WJ%eNP)dI2DnmyJfO-P;vwSJIS<C?G59x!!Zf8-8%#0
zmfCBaf30T_t@M;Eozvffq2Ww`8_cvS!eb`?b7)1~)jcDf`p?jb-@ri5`}DS;!U45n
z>`n_Yhyjb*a1O!LbMGUoBaI*ZOlt)RK>>_=<O3_UH!|md1WEe@tv6@C)3i9KiS14L
zc!qIex{OS~>i7qEE-BV`v>(){>KCR8jn{cKgp*!+KuWN%+f?qXA2U5wRM#E?NXq9G
zzrk%8Cx$xwFmooUCG*dUjLe3`-pKj;39;HG?aA#Gl5bdtDbAij{^;6m!Q53XJ~-)~
z*U|bPAI;`>lUwB&g}~ur1ZMbo>s5u+LoL579l)kEnY<j5nEhuhvv??%u6J|yBh$Md
zV%W}=d5!_WWqOovn3mWd&)5nqBh?0iir_NA%=CHo-k^=)QZl8=csIBn8#P7Xc5xVr
zS(mJ$CJw6lp((8<TOl#&C6+8mw-)GbkXDB36%8;?yXli_`+YXrqRbdAdYY2&K-__)
z<a~dR_uzU>%fO--GbQEtw!>1Z86I&pc5qgGpWYn6z~h%md!p_R)ca)xLr2$*T78@x
z;%0TWz~>Q5g#wFig&~7jVWaE1SXb7}8pDhJPg_Ts_(8Exw^66=6O=vEIZV7t3|=>=
z;2?^EAYeXhVu(*>nFTmz?z}f%NmdqdaeA}8*L-&qA5+*xHY|vg{!L3Z+;aD-ndYT7
zVzNomeK~DvSbDb;ee{}O-P=o^WbDFyP4WwFmpQgHB7M<bbhcMpV%8@0iFgwN#Ug}`
zw#dtg7s31DiEbv8?=Ghy;gah$ABDArrNe5M_D$@T%~!caOep&%zAQD?+rf+IErFfS
zp)<vzn>qYwyIpl>1-<R&1I&TgOP8=Py}i2w*c|ipbl6&x4Z?)HUEr1pNR#HzcfPHp
zYjgE&snYdV!n=q;qED{loTMA6Y!ht-x1P;l#$gRe3Xd(7;>Q<!OYh+Vr-4O|3i8bD
zvrB||2<o%}FRX+*WdxoDiA=sl^CAtG;G0R!ks-%Nm?BPoXj)9WA;%o115-|S7xno|
zvuTek>9@cq=_phXlQ_8#-IW~xmI<OetKfeXDDlgP6Q7txB7&27u9F6|2~4XFkStIV
z5*~G&^s$7$s0@9>;IWMLSC%1Qe~ZJ80~Kga?&9ug2EBe+T6e=<Ne4$|n|#3~AI{%C
z%yc&=IEJ;@taseG;w!#}DPj5Dx*qV*j5Q|YOQ4>=xF+^8AR5WQ@mM$rWG+43dYs*L
zggII;?ZQf8Ehk=Bl+kUPL<9fxcVwFShK{GcuLf>~?^SV0{dpfB%M)2k7JvpSLN$R&
zb3>B`=AbrLE4q!Am0i)GO6JRfE<Uaw{t|9}#4`clZ@3Rfjwl8z4mIz?mowdc0SZ!c
ze?Jaa_=OC#;OiezuYuvC(0K2u_*qw;=Q+H2*_y5n{vk!m#OZr`-Q<rnxs3HH(s;Y*
zlJ~&P)<<pP-+u4#ss%Zh@*I{Nw8)7O!p^#!AF9PK|BKYk{@B(PX-T52tCHR{RB$RB
z9O%+aDbcj#YJNyP6r1p|_h9T}-2H35^Km=$VT+jTdxX6(AW^3L!-h8aIZA|&{Amxt
zf*YV&^2`)HEdux0Oq?eM`!dYD13WN#lDk1Kj(bA8*9@$sHo2k(@wY9Pb$)B6*yS1T
z=8-?~_QV)E4g=ivPsf0jvE&Hh_d9NdIFj=4sYc--yJ`3WZ2AG%w&Td|OYw`Ie1){r
zoEX8jGHyzt0SlqKa=E^46lU5S1vWW7l1Mdzn0`4eW3Q)I^>O^G=IztTf<SP%Bvnd(
zPd$yJR1kxl`zj{#kb2f7mL|Of4~!Y9*JJuN4;g2vq38ZUN~{sn%JN-QGoT-1WqcNI
z)&)%qy9n%O`}4DyEykPr8TmD3ujeAd&JHsmi_tR~JmOOKX+$nsO0rHPsZmMJ9o&VS
z{ah!laG;A?*Y0AsWa?#M(o(V{`a(uB?zcjatyVl!KRgfuHl@nG)umgJ%dAtgxYcJj
z=Bkp5pnL{!0M7OUO9i1*m;hx`ucM`jbHzOTg0NNqzzD4#o%uZlDKo&>5Fe*Q-Ng|&
zp{L;WZC<I%oyBBLb|XoU;4bmkd&1t!m-r}Ouq|uy^ez)eBk5V8vDfdaR7+>-tn%?!
z=AQ+mebi(TC-C*5D*Dycs_!ix4lA%H%!QbJG|s4{B@gKJ9fSWQRLvjtUpzE8icHf0
zk03q<WfpqZd*{x=xh{rW1dYDj&>4)c+#fm`0ctbFkbo;|M!J<E5_&Q#ioCfHm_l(~
zZDny|PtmT^5^C1guJ7Aa+VE1aYI6Jlacb}ybeaou1vh{!#$#|f^<+gq^X`*M3v=b{
zQ(9Us)M2trk3o=le`MfrD@k5q$+P|2PxsXwWgsL42GZE=s+->&1Hhj;$Oy5<+=0m5
zoSImfsNiJlSEnBIE}IpBzLE4oV2Xd4)tNN*ELL=S0BKw{0NFSNeCbES{yIWe1A^<u
z=t7MhQ@gL0Gr#)>ZsYoE>)PDIvlNYT9!R($(@MRna8XG{0E9iHoO;&pWgr0hkqF1O
z2s`T%E%sT;Vy_G<A$)g^fd_5<L_b?zklar85ASQ7^cLf7*r^&{kyfX%|C@DyDmZtb
zQoz;*D_O4PiI70KKzSlv$HHskj3-e@y-U-kHP10GiCq{%O#JAR)`GZubGxQ=HFX(s
zgm!m1ye%x_gU@hWivd^LcnL^BGcGpDi_<x8QSC8qi6r9M4$K+J<#mj<JiQKtwyGMl
zA9?!!k(~0Gc6#*mRUVDgnhVx*4o%zQ>RJghn2w8)^ALMq3cfAp+pj?%(L8CC7^EE;
z@^keCgSybQA+MZDgO7q<NshPmfNdme^gI)oCLZ5u!VP{B7x61fL+YuqrnyAm*vJLB
z;Um|t74S~6Z)TZ$aHqZW^2Zl3VQKG3x@Ro%Kn%3Rn~M|Es@7moJM0tuwx7s4oPbsr
z_@wMnS32^6i7iK0I1ydImwQkf8nVGNP@_`k+L3(tv=2lh$6vm!s}C*A2h@(OTdOo{
zi8<8Sk$lDeNOGVASKJ4-cqbK2MPTs5>h%%nn{Yh$Cckc8do=PINl*4df;sP$`qU`w
zcMR(?OZ)8Jy!g*(=Epy%=Q#P*PL6~;5!30FJ0#KoRZZt~+d8hO*VS1@B%N<iv^x!}
zJo%>$9A`T3=*#g(D=T}NCc(u%lBfz1?O^a|vJ+4Kz#D+-0RV^;JzX~EQm){ZXG8Nm
zOKH7v8%Y<&LipMQkzT9iM79}c0HI)uRS*vyV6j_**21u{>zG(|te!#ZY!?w2H;Bw-
zhp_;Zso%=x1o7cj`$>1O!#%AhEA4V4^9o+?lk=5Afti5{`i&GyU%cK_vCt4MfsBf<
zzFt$FVDYAn@n(=XDk~X<1Spx!uRXmx+iI0xU;KcNOs1AE>Kvp^&V0z=IIvLjxR(dW
z3M>3C_Wl1(^}AjZt6r&8BU$dEhxui^_8m#&6Oic2TJcBO>p7$RyFH=+&#!*BC5u^x
zDNVw@&_UKAqWabXbLFzq{OZyTmbpZ&R&;WIs9n!<yeael*xCqp-{Q1h-4?%>mh6m@
zzcuSavQu4t=tarCdTjz3m9AYKbZcf59t1dmHTUlA$i;E_tBhbZT%jjB<l)#hFr2XI
zU6@ss9yeD?0qoED@5?KGwODnJ1Pwd2og#TBUm}gP^-xh@<6vX&dIVA%(1)^6-{1O?
zEZ@dp8T7Ofy*K9`ur&(xr)FG43~jqPr#H?YwtRyH=0dYH!G<HB^Xk&W>U^b3&~nnX
zPv3rh(dYOGYZ0y&ZLgNTiQ!qYl$sBnw3n$n+~g+6u6cPU7sJ(iZof<#l@$GxCMBK~
z<5D#BY(jW-;jkDwt%5UG`kwu^Ge0KQ{)R8RScg#c2cCfLgg=3z2ioUHdjPV9+e+})
z7l@EmrWO&hd%hhEsZ8;%^NCTk{c?~jkO|@%&a&vXU<X2+vhjh%i^6YE>oM^<UscVL
z8pn3d5_G>i%xsx#L(ADY%6;dg$ZyT)s|{?aPhkK&%CG<@h0^2=$k~BnJs$GFL6213
zI<xKrFUM&BY2GCQ*i<jMQh(Z(m^}OC;pOZ19vS<q6!FAI-7)W?6zk1ryvRkGGYFmB
z{SOmJuuVNrQmp?ig1%8Y5V17~tROx0a*aBNCD=-iVm@~lx_;59#2NZwh)lwRk>hl`
z!^;)(DI2Z;3?e6fq}9)ctD3Nsrhvje@FsQ|;uV<F|F?o9ELv`lUa1mKJ>aI#5vP3U
z<iP8aYT2#dKU}FMXk=X>FkWxuyd&8?sKeNd2-Qat#F5&&HRfx=A=Cqd!iMayoKe^{
zvjZMLdl8og&{eLaoby#>iJKBN1<yT3pT<caEBFPhfBoe)gJraC56!<8V3qxlHgaH_
zb=1@lI8C}e^W}7kIjdU-YZnpd>Rie0*^7u|7>IRclQLZjJaZPod8GA%aLpo<8gkve
z5f0bpnt6h8`xfKBn|c75*J%m(sy+l9kNu}Zhw?-pKJ=YUZrT2_tXQDp`Zy;Hs>HM9
zv7f;g+oM57c@XqD`dHlhcz)lsfGjm3LfWb*kS$hz!l#aPWYUgWq&XgOCyY*-O}Xtx
zP~xXriy_6ifEUL{bCUg}n8lpSv;8%#7iDjYIILv4(KW^!RQwAAqVv@$8FL~cu0#3T
z!dFlTAd?d0mqqz}S9gHQKugOdb;(wVN_ACciR-q88sdBfTyGt3jx?cJ9zYne!{BCH
zo#Z!n>*EU}rw&|@Aciyj+0)QJ4vrqZPZ{plvPa18j1KgmV%UKwB_q(}mVR`ZWD=PS
zhqUp<TQjB%=)gn&RSx-6MuiK4<bNiNG_v`FijxBP%aqvP0+u=vMMcVd8R<;wl_86*
zuiMm2l>IBKmb3%-ZQmuAgQdF5{|RNW7>tS07Cz>J^8z|YPUxSs$(CM0k%?)r4?H<*
zL^9|9pBAqkJWAMqiIS!!+jM(K$S;|4Yhiu~paxA|e}2$pVBxRC2ibC-kAWcoNtp%1
zQX#8UqhH$KVuW<NNKUc;!?bc0djW;=IOKRRR~y}X5yv<_;O-a_l7;{gKJ`|;N4EXg
zVB>&MldbOJb$}fsc<%%A#zi9QYtS5QMI8CscRm5xmOUXEY-3C0E%ftbU6Fhzwu`<a
zR-T(JoO*67v_!Ab4CvAQxpMYFb>r{C7Ap~@gKo!d%D^lF1fJGWSvboKhbyLdz)jgQ
zl{lHF@+=fPphRvF8<NV%_WgSEu5gpVL)|%-hbEK&>-1h=j0s==#{npLdvJ{7^!WZb
zsC_wdIZpCKW}?4NL_%6k{D~#6=NdUZJETEH=%17>0uh<#?As3bmx22OHniPi4SD$W
z?Go3L#y^wAs+e!Lb|p|UGn$hBj*dZBgX3@fLPXVd@x{4ScTm*e!-w8sZq<&NwLZ<`
zfX(+2<B-GKVOX8mg!W|}gGFYxog_;gfZrXj#-dFM%V!Jj7_VNz?HgdP_<`zru}0Iw
z-j}oVt^U(nfulTNX%qeo2iS;lz(ev?nM=Fsis5Uh$Atf&M|{1+ZMRIqw-1&h{#2a2
z9o(-MpBU-S=rH5uGULXKWbRb~lj-f(7jriN<29wm64i89%ge-nk3#@ZAVGy<){}Lh
zm#h7F&M1o9`hK~B>RkTqUKvuG>%rJW7|!U!A2_NMo1@g7W!o)F_;5}}nM}Ox5Z|WF
zGY7v*8ZoxWue_Um@v$PxJ<EiIqj&{>$=%L9b>wlxqn&VH)U5ldGpamjoSbkgc3+nH
zF>n+BpjzSZpr#bTmWTwCO>cDP0;>1EZ;SgEh;Oi8$kK_yyh^|Q<W!JFCJ^1<F{emT
z8$(<2{iaLGPPCoe`7(LU&ZYWlbs8AhV`g{b%j+DPpm5N5CBIYCqoemL!LXV*al2R^
zJFzRVk<gW3wAsu{82EN`sS|HUzr#_L&CprO>cZVIj3F)HwD|IB`qm_tYRPZ;?A5f)
ztROzc#aUO*sdXgSkN~o;*fJ0GG+t5$`}R5K*4SBOqD6251E(oKitS<bu|eyx7}8Gf
z{x_Q%GFyu3)|*K>9Zb8NzpVf+D{O8HoKo@vHCw(w@i1E~YHtW9T5eoK^ohd$!2k3G
z+ICqUA!O?v{7bhB5syxs>I#shksFTowu3>`F~+5cUw{;vdyU{jm!W~UbVA1Z-;g3J
zvTY+;(hPpu7uZvGwPpzuOcafzsf|C}{eQ~X>O0>XIQzP%yVX(vMh+87lb_ti3kV^4
z3Z!eBw-O&W^w0VBQ;&ED<G@<2n+rM>CuXNkL&?1`Kt%a8^d8of$<5QDQ?hn7b~ssa
zF<SW8j@F`|iD$x@gM_!VfEL>9vi+oTamOlmQwEN@02>J@5-P|e!tDyOr6GjP0-FY)
ziF_%1{H?yNLjM`-Sz>w)uWBo<Lm4cK%lHCx_6AcO7nuoy)P=t-$qC8b3-Wz#VOU7F
zsULj~4?P{rX!nypVNiIQ)_4Idl%&`}k;^@UxdW%VD2r+$47fVT&5@97iIThq2Cb{}
zl4rnmaToNaYL*o&HYbosjQ)B*^Utze&gu{ofQO1SUj+my@9lba+qM}|;zv0#{nGwn
za+0Yx$Dd@qjuJ0_8<d9|G)iaq^1ZH{v1m^>Q<&qUBv-&-MfbEeNL1A|vbV#Ch*>(E
zZF8>@N%S;LPou_1oYh=@pnpAjIiRNIJasE<agx$xUde7d_JxRjf;IK5SnQyeglIC-
zN+AQ(2<UpL+-*{&7$CO9dy)-R>4BV5Cw6DB6kVj+k9k3cPXbp??<n6x&c4l*`&u=%
zVEXE&GU5?J@R2q>yE-%T8Qt*dTa?!M+{Se+LJM61_WM1vrLUv`DEU@$IFYsf^JQlZ
zXJC^kFj-E7p@mq=x)ks~O#=36-)<pX{)WF2kR5G!jjyeMl($@x4j@2rdpLO(v*a&7
z+<+}*`X)GYu{HU4H!sLcqA`1E&t+@tQ`C)u5bP`^7uN)xks9-3wHDUPNWq&=9bmY@
zbgu0GZ7gAnSA%an^|eH)%nw{vA6TjKG;)61Odr(pyzmyQTPb5sP4zS3=}_UpZF+DF
z=r9u6$pVvnblg`MFk(=23wRN0enUOvIDRG^B?(f{j9QdL{4;+a$D@=>>EX+*luxR0
zl#_Z<8BrRyJh(rfBjcgO(<V7}X}=%bT}!))p^aT0eDa!zmy}{~NIKl?Sz&db4~qS|
z$_)o53jXCARq8rVw7QoXIHi(JI#1j7OE~N%uTi<HgosB^()DFeL{Y71xNLf}aN88l
z`E%(F+PvvIsZObAyprE>j7bjgl*xb&;@ga7v@s85DGmLe(!1PKZmSNQntU`<xb@hx
zq_E2LQW+Ff-vW>|0D%4>yH;yxx^jUY6~FOf8_*&8v|OAd?`(x82+Mv+6AmHf)Yv0(
zrXMdrzBYdDLe2vrv?aeBoL=iH>5Cta#eMHp55PeP^{rxVrON8(6Da~$5X)hJSY3rA
zT=U4qHdmecb`M>~KXCE$p?mJSa)gm}X{6V5^1TDzp8JmwQM%M^kG9{$8#DnV+S~!d
z@e9NJ<Z;WC#74}tS4hexAVs!kgJ$3cPnoIz;!CgZE^|+|5%s;YtHw1S<KvUZJ_eeg
zH0g_E-<lw*3Xf@K6|#b^-a=AD?ooy+v@C}N`|RN-3jo5q0By8ravM^EyFX1#VL$B?
zY@;&ZZ`&9m6=b>tMz}l5F=?>bDM80qojUZa@!nyMSGom-OuC`@T!yJmOe@5mUsaWp
z0JDW;OF~i(RSG%}?cc|abon+GAOMc^1!Y;*6T<mhmE6~c#rA7}!cLd``=8#k+P2^9
zDL!gonRPg-&#NBy;WYl!VKB8?o#iHmH89PD_U<4S3h0<W;|4$Ch0jC@%t<C=upodg
zDgI<J*MZ>={|7E@ecZPH;GHQmd$<3t{>O7m+kgwq0Ho%fkX<c+tk<ol&+h(?=74Yu
z>LeT6j=Z{|448n$knTwYhj*~~d!wfZ-@z+kl{RI$(|y&Iwr7mTpLT6s0>5SJF=t6L
zei~Us0&b6oF6oQ?(sKt<e^AG>4N)6KQxaeg7o5cG1Tq)&ed|Qh3NWa5?IG8@k?vDi
zq@6FzH=AAeg(;RzHy-y!1JkmbpMI^n85z2weL)bV*iGM8F%;7u##f&SaDnGDyR*8n
zD>1nJ?`q<mSlrDCL^p1s+KOWie#fMK5|E-yWXhl>B73`zW;o<K)T{3ilK4&;S^s8F
zrzh<YGX{b|sJpO~sui?&u(2~wJUN@_M3VZc-kgiwhmaewN7KH1V?GrI_0|@d6p1hs
zjM4Oy*j4<bVvlV&BnqEOdV5nt!I(;`nBr9Gslfj&sn))>ul15zFl#C%c?iI_RWUOD
z!bN4-+$N=EWv$n?=2G*6hU+)Hd0T-h)_s*hSp1Gyd^T{Bw|1sR7E?3HoEL|SgZbjm
z^jy7{#-x1CLK)$ECY%}BqctFcTD*Jqz*q01{W#FK`%Zy=4K?~Nt4gP*x7Xvy<F;GM
zX2<52HwimTxd>F(&%G_g3j(t(tnuN%>B9+&=eZ_|6w0Y`?AKlZeAuBZBNWZ=HmH-r
zVIA~)mDdG$H@343w!GI#`*#Nk>~hvO!dhAtXN-zcKWQHCgT`?^)Hcsi30P_~u_eFm
zRN8yk`(<Dst_t;IGQYG9+Kqtk<Sxqe)|FToyV&*|>C5JiWv<Pi(9SpDGN?T}TnpGs
zGPetLhO%EB!-0q<LgPf*iF-n^ExU7LWToi0v>a7MAW(O9>gD5HD4>@F!Vrwhz%rrG
zy@+zXH;Z>B5aXKy9MVIG5v5!!Xh1I`8>3!a6J5cAPv=40<5zooT(3Z&ZWwAl0w|Fr
zE4{_HCmwIm+CN`#=X}J}1gJ*g9<<yXg{kqjXa$!ilk9or%TCSWb+GeJ|9K=t-USl7
zgQkL?U$de%a#2Z%m7GkVSn(N!V0I8P4!)>TSGq|@KkRBDteukZZmuA;$`cqpnngt9
zhS8i<>)v$DP}Uj`DVC`ip{LkZ=f&sO{}oHz)$*tNIJEeF4WBx5Lr16C_+=G+VuVXi
zxn20$RXqrbK_~obQOeM9%uY~5<YCJCl=mPYKX0L6C2Cq?Ncq>M^U}C~ZCw$L9k?I2
zorS*~qQH<lZ6A-FHLSdw;J6v0i7W^;#CX-&ez|B?o8Mg9JQ#_fZpO6jM}m^i3K!=G
z6Oik}2d7w@e>aZ^^i+kSPw_3gsu+`i=yt=tK)Ic{`=XNVO)rG*-W{`c&(O?{U2j8g
zlMh5z??kj8_GT=pP@f5S>%^PnjaKAe^0O>Zu=^*6X)a-rq>OTTX&aaek_|n~d4%1#
zthH;-6;3as%fS0bl{~N6Zy4F+w^!tlmR)OjDK|}Lt&qa1+CykoYchelX_GHA&yqVH
z*KtQ@O;w1Eni!OeR{>mlk<fQZR{tVI@d5X+mG5*NGO<@b(a!eLh&J|D2vTn=2T5_k
zZf|^vr<cS(+of^j>IRXsw<6T|E8MEe|6LGX?T)6UOjJm29+^s$OXrH?5eGvby&3=B
zFRiYYpC3hwBrsJP)Y>4v+{ob;l^u8pST8>lbp*?PP27Ye`#Gxw*6mEyP7Y^-hAG84
z#~7dL44+JUVbl)z>|;5*BCvvXhk)MoD9Qa}`)J?4hRcQlV4r+!@G&<-#T_!rZ1qOF
zIOkg(p8_Gr%!7}9E*YRk8zzmN|MX4J?YbAdG#oqG@PeSOF^5lik3O!H1xmmuQQK_~
zopYf9H3NatPkh97lY|h9e?)Q;VbHzhDcALIu~?^efSK`htylFpYmmCCvvx%7d8wK%
z+aipu<@*}+9CxI_{&QkHDNjx<cYIY(c;CKdrmW}WU(ow&dqWms-&Y$0CQCt{;MaZO
z6C~@`o^IVp=J>sXt60ob#i4r+elv?3VY5XUX3Z1Ka2bh%>jAFl+%$EViowtjxh`Pv
zgZs-oeGaE({NwI)!L@uxavN1x54sci`If_mu6g?KAW(|IU-UUNHxqX_`}vPq4^R*H
zY$)?78S|&+teL5^10}2;r>rfSsewj&+K+V7f3p5_tKPWm8L;wN-bgnbcp)-|Kq&3+
zt}zYKR<`H)jrd_sLe9jkHNcsF>K$aWUG+~F#&4S4%Vw(9sa@D!u>P)a@7r`ixE=GU
z#I$vSwAJjMEVqc6#uO0uyi^7PO3b9wka1I@fY^GOd+xJ~!za<yYQ68O%Pf_MyL0lI
zqpXbYF|8g?QmVG%)+S9~`Q91dRG-8LCB#O-K-T_CwpHIBcq44%rb=YVAAxI_bB{`P
zpJ<h8svjIY?;mxRJbPAKNxUEMSPx+}tYG>>m+CK4EdkDWkkS_T%QU}Kx}>rcung8G
zL8?LZzl#l9**h%qZ#hznw7zl(5N7$Dk(X0EZ*^Q6AM&Ba%f3Ub6mI;ny#C8=X#I!f
zf2Q?3u3dmL=5_=7+s%b<0w=8}?WH(n6(G3!^ze9$vVx3pz<t$S4P(zQAzpqJXXTM%
z{u0<#qU8*UV2_m7WoC;Kn;GT<#0S{5O&4Eugbx?-pJ_*z-se^HDWyk>+2>22TL4g3
zhOluDW;FD05j1>!O@=ykRcL==pbL^Y!Q#7;8orOV+gNCS>SyOj2Eg2qH1yQwsG>Ij
zTj`^;j0mSde{Roi7|tHz`kKi6KSLiO4cT*^@Z)B6h*|EH;aL#H`bE<$vUagom%s7r
zljk10>QMz*_TEs?8&uyH@^ipA>~-O-P9TqoRO0Q{a--&U?{La}skKiYV<L3ugOXP9
zsM=V3O+OxSup}aiyvhmVm}0J}9v4nVUTJuP#^$d+4s6<7eR#F~S)XvqZfz;pcwxZd
zh`v8=BbE5WBn8NAkOwv+W2M=rIH|=0fF}{!q<jUvVeHU_^pd|m_ZlHDqi)@B7@HvS
z@)JVTJroCPr$NawG24uJ@VzRyEzV`_f4f^XFBG~q4sH%PE1!DmNJxsv)4MqD8j~d-
z^A>kYgCH*rXNh<BJ7=t6<EnQM33uYC5wCn;YU==W1~}cS3v&Z<OCc4n*X2O9bYG+1
z9z4xqUk3tC5LADUr8ThX(lnNXD8MrT0GZ`pl9DEO*FPGVDT;@_lz3dK_m$+r2yXHc
z?#U9l>~$eOJ)JXpby%dbKBYy*=5%LO@Nh0Vt>fLkL*1j`5I|ksWkYF^nQxOW#7(ah
z`G26-)URidQU8s&B29`)%w6-KLi6XrI;>~@oZl972EwtiMK;Fns=F%@)J)i`!+?PT
z5av3*2U^(hdr0w?g&5?!<z6IW#iKjOa&WPs0I;9}Pg@@Tsy0*y(Rj4~9!afjt1Zs*
zk0LsM__|;fZG!EJ4w1!UU><&VGlkMe;*Bpu;q=^=cwSro?8N{zk^`pLNo>mj+HTW9
z@wPCtSLmA|_a7c3PBb2$zBxPAWdt<32EBjI-&#0+Wqvt2kL8dznClRhK>@~b+57U5
z>?zHc?v=URsOdxiEnm~%nw1a0AkA|QND21`@=mmo&;r+ihzh@ae1<W|@phAoWIw&j
zco%15!?tyN`2~Q)j^1UwBUwuYkIB++l^8~74PBa`+#f;$Srp^plOKC#aUVj|-M@?7
zXQ_@7PS`9wx%azOAK~i!z{U4k=|R07wcV$!x*U7|T1QZQBh1%96u5X`X~;Z0EF+^3
zUEke{Ia)m$xSrGM5-fIp=5M*lT3GUegZo0tr~lF}hmGhf=6LF`Ma$EV>uz>q-N@Vg
z&s*%|%OfLK--^{{?Apx!4|&~w>M4Bu;wjCzPL3l0l=bp~Jw)}8tU6);5pd%K9i=uA
zZf%yODceJNB_r?kFq7Y4^*cOz9uvcJfR*sXfNR}6Q`}^@02f=?gzp_v$}h>&j8-BU
zy)JAxXdkS%6+bu<Gqt4G?iX07<R&=RD^1ntBi+G*)Cv;P1lKi)<EW+P;NqC~&^!5W
z3DZHDA23&+cWd9oqqphR^@(^!um=-N@<|o5`5T?~-R!Nl=S8<zo)f2q+>O+<lA=|1
z4GN2o6;A^Dxy4kd!9KorYWr76j|P-RuE&y?-WFDET`<LM7=2*VlMCM3<nub+1H_l|
zVEIMr##8g%s@Q4LfI2~@6(I@3R%Q&GZdExjEo{=7om?jOI2e|Vy*ZxZ5nUK&S^Sum
z1rzzt*Fe2FSDtk!D5T=-c;k`nNZ0R{$b^h+WlPTvCHg&%r}NyNZS?0nX5X@{is+y+
ze%3g*dypD_r@nmLU<#gu`-d=N2ll`WoXx!{YLvFXKw`}yxB8#=Dzj$zkYaBGK-xH+
zOnF+nR?lqZg4iNugUOJHz5!lq6YGxGeZZE7a1Xv*^jLGObM#U}g3kVBp($DU4w;PF
z*1?Lx3`p~4B#|D71_wkOypEQSoPBS17ih>z%g+aT$7gHFW^lA1^f<V)gWje9rtow#
zV&z_oU1&gqog>I%H;zxOht3DE=5b2>(T+*hLYdVV?0im16{ie#E-N?qST31Vo;r(4
zvF6;=twfTZFi`&;BGQYdI#swBcePBZiu61%Ej0G%_TbZ~7YUfvqZSDm){_?zZ=V+Y
z6>4={VV+YEnbzU}kTWAQ-k}@L^{Tr8XB4<mV-m$pjpr6=AvE~PT!w#9k$+KD5`e1a
zMY-sR$gsB{R<q4KdgxneAuRSx`oOc4f6KW12VlBliK9u-S|UDl@XokCq`P2mgAGeT
zMnHTi#)w<nf_#Rp<nT5F;RopGU^zpp(#quqHcH{g3n8^Kj1~vOzd^%S|B($zcI2Lo
z5^em=qc;yMOt_F>K>VO+Fce2V1S4&-ir{=?<pa%HXP37&cNpjSV2X%3=|&qYaHRoH
z#=5-w{MYGwb$0S_4(qKqdv~;g!#}%`wX64$fQUiMaW)B7$XTEx8Py_&Kcdf`enE1?
z!NKsR)IZ)@KK=&opSxl8dP8@|41SM^RE@oZhi<oYz{JvWq2=Ak{DB@J6y*?9xTjw;
ztFtGPJ*wZJHT;%r>`5kScj-e_51t`DThWYjP(mskZ*)D{4%mQ%y1#={{)x^>VGmO=
zx#Q^P4uE)(`bhnz!TgMTZA+p|URDYcE|^&m-cXwF$_JxV9LP%k<#0_Mj1YFNZ04O6
zE_O5dAu<{=uUJwEliLY^kmE$gAOBR%m>pd4sV(vil<`fbB0O{cM6<}k)jxD}Q(7>1
zyg^METX2Wf?NaM$Yr{%uL9+L&1idcYJ>4-x+kj9Ck6xRL&wo}V9q!X*y+I=tU};Wk
zm<Otq)WT`$UW;&V7>6}jUp#T89uO{kgav(a!?w#_Zq15}*014{FBk^A(f~B(e_`Yy
z)o|Gg_QPaq-1?11?b-r80gRn+UaYnUT9h$^E1r2Y(2n;qCxQ_klG#3S3K?c^c+jeQ
zV(C*?hqFXl5j*z?VV?cmgyKJ#Uaf>KLlMlViCeJ8p8Ba3FzEscmZYEU=7LPuv!1X&
zJO!8-z^~RE?deO@<|GQTC^9?cepMSksyQ5IaZRBCOJ1P2XLb1xr&?EZtu81*Q&SJ=
zm-hFPuQr@<bpQKRvt?;js1JBj)9gOu?ysqVqOCuqqVoh5MG7*Q3%nHC_n5~3tWVZ%
zdNNz^0UucR<#=m5`AahLH~AJ#a|mSHx+$3vOy66m2{IgqTxX8GwAA{o>eX~2r}W`e
zj%tY;&ArzdwV~dR@tV6;?GcrqkdvYvmywX5trK5D$EQKM8c{ODBsM$aTUG>QnnCoX
z=$zdC=VoOtI~y#<LxFizYpU|fu-1e8h}OazotIn(*`N}xfoRq^MYi`d*SM}QQy$Q$
zkpu7eo|VcVM1jBzNkbvo=n?Cn2LY%o@0#_uJgRwd3S4Y1P{FIB{w5T|l7NL<Mg{D4
zTin`wkrt4bjbbYBmWr`ZAgHL>45;N8J9;mxAR!_Cpyf^2h8>_bDp_`l&{bB*hU$3L
ztUg?y(yP2ut7vbRH~g0A@?Qf@uL;%QSZD7K=h$~<_wF??OK_V-LZz*<#*;txYSJ&+
zqx%q3fvp$)cKA-l>B~JHmD`^iR*vNNAu=5&8B2ofLhL9lGMb&jGr6u_U>M2Zxrr!M
z(X&ITq^fa}Ei-`uhES8M!r&wA>UZFx5iNv{W>k7P6dQgNjZIq#M%~ScV24rWmmG_W
zA)k-R5#o@$0$U)q5enLph>a4DHi9N6wc+K(smtw69sjs<{4;zR2DWA=L|@BI^V)7B
z-5LO!eDD#x`ft+7@cnC+>zkV%hYG~KN3ExGfEFO=`R=dvgW#Zaw4+_&zl1yBIuenV
zBp24+2eYj{kny%FzVi$5E}3?AFX+J=0D~QrH?djf*G-IpD)C<y84z+EdG&=X;7Nn7
zc}8R4%Gkxoi;J8X|0WG()-#B(`1F7hp6EdB-U;LqmHACe4Q#eyA49m14J{H=lx3h-
zjMuX&ZNw{zCHsYNT2idpOx&Pd-!JRh^G1skk#y3<>J*xd&oucC1e)(C?6+Tb2t5?=
zjha1wyz_ZKY|%L0L@z6QGyEnxFlQ=|>ldOl7n=OSJzr9)J>PHM34-;_O@m0$vjL{J
z8nqq(Q0eTo{E<kyk#H0nKZ{Z+*m=UV%fb>*EkpNo9iE<o1n@7y-M(gn)-Bw<V?oiY
zkENB*r-3PCsxp#%ty|c8VjCf;kN#fUTo-k}1&F>0c%^q*%Qj@wbHlPX&hT%9?n#>_
z-D`NT55UP<l%~9JR>6&@G3itup&7wGw-PcsvcSwU>FDScZb_tFnq29q6=17ebB1jO
zt5`KpsQ}BlR#3~6kOTCxn!x|0h!*y~`Kd66(X5wm;<U{Gy<+9a`2CR&{q;&?wFgIE
z6u)&yg$o0p=v0~PxR0%ivb>{Hut<8@efo<L?4{T0;U$~<EsFFe`D=x~0o14mT;>w-
zXWP;%z`opKEU|HW<Tr^u(788pOkBz~3JBgZ_jrt%?wBs8vtkRlLiE7|V%pkbs({-?
z5}0M|@_~z`5EqEI!`@Gk3VyM1a0&)V!H0=%xj4zAfxzeE5Q!@TVOlkG(!qFsaN;L~
z2^VjCIEVG4E3r5O4<KTxxGB`oE86o+*CM$0mtrZOe@R~5b1f~tZQZV(cbUvJoX3fl
z#YeQNtWUer;&vt+1Gg+9|D|IDiOBUa#5Ba6K68=f$`_x6>RZoS0rICxQYpM~+E;{m
zq5Lol@J$NlW}lXBI(^6nva&XfZ}{{dBks&`-UW1vwBdd!myHQXi%tv|p4IuZb@9oV
z3fB~Pm%&VtxG=uZ@yWZNim<W_qZ}ayb!@j80uDGmdetIGl1rJqW{Ewo9-G-z<sH`X
zNsOps_IuhI2Z!oL@$jLe-V;Fwz0Qdqc9YZ4@i)4_TQ#?(O@nZVj4Ijy!kVDv&kAoW
zb{4hV$SG0g3Q!nLAt~w7EaAc*R{q$o9&X7P-WF`jm_WAo|3`O{bu9+Yay`o|G7U(m
z@I*k!X20?$FHUIqZU!&ADw^a+XKdV?w%~QGWl&+5^EN32o{|5PQm^)17E=RQK^WgD
zJ8onf2(;7wV4zRwLPrTC$qNs5w*TZYDZHujg0fd}gKUOrf|R<(<6e{i0}j}p9XxCB
zVkJ)!s7FR276UDIliG*0-R!V;bD-L-9(I%6rT!jRX?eo^yoQS@bE_(P(%b?5lKH`U
zcEk6yRw3~Bw#0|otRe1<kB8t6K_yS)s&Fuz)nj8Iw9T!8q}ziT?RdS}M)TG(m`#h|
z_K9`|D{_D&S<x+#zKXhAb=2+rS{c6G85xqH8cA((jrER(^bdn4qx>|m?TMUX>PsJk
zerf6=<VmutSHSOg`h4-=mlo?Vse@}k;NN)ys*Zleb*%+y*e8<uR!^~guK`68jd1W)
zbbU;)*agiF3~X$kq^`ujqL}UN##XgYZ&z1p3S%onxB=t_cW1B4pyNzrtS!c)@@Um{
z6A-}Z_2kvIIJ{{aJJ|S+)%N%Nu6kEgnuXo&G&`e&r#M{SWpdU*Z@xJaa@<pBMKZ-U
z`e#`&V_(ZY^Sa$_$0N=1F+PqjACe)-nk*U5m&-Oj32;O2T6d}D4sK&|u^*a9MAeg^
z7JT5?K}&B{(Z<kGf^3fifkyUs_#P)h){QNb@i*9Ms^HF+(RNv;vtT{0*3A`IRfX*i
zz8lYFEFBB975;6Q2nhF0>JODIvH+Iv;Nkn_zdpocT#9tc7&T__uuk4><5ljT1ZQGn
z-la_Akdm(Z<yMjA`sxoPpt*(N#wx=-vgo!Y<!+1jIME*2*43~G2}p<PR*i5e-a8V1
zUlMHxM405X3JMr%oi_=2Uo3q_+Z&^0YZqS0G>K9ZwDXy;=(58UN^XK6V5Z6v7CqL|
zjh}y!sK)w5wQhz4JVs-P5A_?tH3^y6c6+CErd+0(tWB3KnZs7|8a*=J9mQW<zx$&f
z!rR8i(92t-E3F7v5=hM!){gupZBh#MkR>U+Uro9S>^mRs@NNRG2z!AYLwB|T{MAsG
zX6q&u<1NU-O+e0w%eS@-*iYuI@wX$ZfqdETr;U^abO<;fU~_lb!JesOD<Kf<dmM?%
z>Bf{>ELA3FLvb8~qkk1^E5@{xE~W1=J1iyO-gx=K*gKIt;f++v>j<Z1LQw284;Ae0
z*{{G;TL<6Q?!*LnneRROGsRJBX1qR?2mC~(@2{-J>dhu(@3UApTQ}INZWz?eiVpWf
zHb6-@OA(m3CbWl!=xN(s{f}gS_wBc`0|PmXHidnTE$|KFH(Duj4!#^Yl{ge@1C1(V
zgWki%7xWO8LxJFOxb_Vp6@|{=2F8r26S=^-k9;TvLJB~&tphICyqUNpM6&6Pv(}9$
z+U@cT8^lyk%wJc@uFh|bsw*M~mX#wKO?X}7)n|RzDm}M<B*w3$%cjnLhL)B}d-J(R
zLZw)~M!t_5v%ECRZ1FZ(l9rr}^(#jwWvj{OVmB1EmFHc9RE~eGl)d));;t{^hQq_`
z`T;C&Dv35T6>q6CJX1a{IpOR?!Fy31>|9EFF5lTh0N}prWloI3CO;4ZK0*8m)Qo-1
z6xU39_|8hY7>@y{4LjCdB((Cdckxxb>aHzOe|I6Tsa!|+7!7LS+qK+`v&*p9DN0?a
z&(K8V$;i+;yYx~zw(Fh+8-Tq%Eq_iC9jmaqdKcmhd*aY$1)iSMQS3^rKemyN7&JmW
zAlH$WLY@bMr1Ua9O)+z9@9393TR|Vc&iytF05bc^VF9cHY5A6nH?l8~=(>VXvU8K3
z)6I>yO`MYLxGxIkLvswG%watMK@E3|PcA2nUH3=&J?%YXjD!-IvTD0M8>fiBlvnhq
zwttnIb{m(xr7?50sV-@FAT*NSIy`(}d2P15ve3_@<Apo<-E8~Y{#v+fI-ay_VWZu+
zIyMt|Y5xh|EIA!A(MHhil|fz~wA$Nw8lpqx!%kHb8np}W9~Jn)8SG^gF|H>{%3`19
zr|ZQq7WSqv#mDvNB2Zj4Io&SF)Nv&Tb?0hfri{iFNQh*slV9Ex<@*%pe1_YF<wRYf
z&ji||T#}sn`$r$HMx+B-v8GYom*PH=^?y9YYVT);EqDqmjD2O>@{;>1el2Dt1S~5r
z<XmdkjM*sr#Wf-4k!d36C%P9PCMv}$_G>Vy0t!;hKr7onq}<dc-@k1miku9o8qVkZ
zX;agPV<CBBUZ?xLDTK_)_VE@chfAI2kH7pb&$j>dZ0s+5`R0{re<#sN&*N`$R{XzT
zwr3aLRJiY#bPtXIy~(rpMe$Dy8J%kQh~4zAPF>lKj-p}lEZf9Hc-Vx#^j*vF2%45x
zTcRSe2MhBDTQ7Z`D=(tekU%atGgQ=S`OGJ!KyHKW{O*V$8&5Jlm%}bMAAQZvv*J2x
z)_`O)(mc$Zt{lyV3~W~+c0R3J9`JpgeE=qWSvGtGo|lz1Yz>8`HWGMIVdtCdux-5u
zSKFm>`;FcQy9jv>F-?i6{&tTNCHEa8Kgh~BzWei;(xF!O^vmW4aN|$<L#PKLEs7`5
zMoY|VL+C8|D?c>0y}oKiSPML1%$((qAw$S#K%b(rDvpt)s{CC3*cs_<Thg>PzxKl5
zCy$^CMIF|ROSDuIn|VxIM5myVTlYVW`ocdItTs_=qQxt6ne>|_D@rm{0_{bZ#qEEX
ziEXtenmEfOK>Z^@u0MCTp6$Bv50~eR*1U4Gc5pR@n=k`MVJ5A|-(nDhJ~1CsxIF7$
z66Rl>grHxEjR-Jn6t9Fvj<#+XcqGUjno{h5ZOc~%6DEtp)d>S9$4DUlO{CAN$m%xw
zYquR%o{|_B<pkvUNqkd>v$bUY3~SM7|L}5eVEd0+;bTOSCz4Ke%fTdtwH)W+X0`RL
zOi1DSKwMPJZJV)odI+sZ=xrPD*!Pz}l`4G&hv`=RVIoGscu=wQPIAQkh=uW#S_gPg
zobF8FcVITUm%AHJ_xE|><{1g5Zf*u$^uceP1uZLAy&RF8z7=D@qjnLv_vYvp^JrH2
z9nHM21KV`UF7{p(@osbQi&k*9AOi(K%Moj~*baUU`ja16y>^#QyV+caEy=-`AvAr$
zQZy=6=)6R-$=X%&JVy|pX!1itS`nU^SFjM<B2kwytt@pQoMgdux?l%VZm@#Z@`I2s
zl=$vQ7MCvqof4JquOrbHA`;?y!lp>dgBk}4?YFKn$s+i>0#^n6-F<&(&ZiS>k)GvS
zqP(!N>$1|2=q=6NPxgGD!pMGo8QA@mStXleY;>&?5a?fOoz-=9zrS6J5=CzK_(-LK
zC<+H>T_D(I+$NNIA2x0>PD`ua6vbUw5q%teqR@YEfRJQ59J$@?^8T=|3AdN<i8wW-
z`OrY;3DRVVaRkZ82~r-yGWw?S2=nUY?JY~zbdHRVGyqag>=g3pFd`+|K{!;1J9B;!
z)Lr1N^wqgIN^M>lF18RMJo^(-wU3b{n!bJcQ0^s#_h6J$7YGpzecpqr`u7age6kO+
z$>^KsG6K?z0gEW4sVZo@Z`)v<dE(ec0j}_5rf0$x;wEytX^e}2hA;b|z>GdHA$KNC
z?4!Imo(MkDXQ+-%EC1KpBX8SF$u*nCK0MbVr;N90Og!R@=#%k<zg1e_nqTwuU;BjJ
zS-9sV8<iv%1tsR9=~%;8x3Uw3Lh#h96H-PtIjc^E)k>YiWZ#Sb3}*(;jNBMsi{cdZ
zXPDXNdeo|go-!oq|FzFw58IHm)+*QvkQOO=yBwyk7rbHM{DO^2QQ*aU>#wB-QzLKX
zjZRU@!Pf3v4b3GiFAYA%L|pkv@=H(?8mhj*^wvkZl`f3`ux#yV%`4=$CYSH5V9qq<
zLl39U8Qb*%{p-6f>>j${VY}wRar$=6H`5x|g_WtrfE2v^*4K`{fm)MZA9vhtE?A1z
zMmxy7LsMyBFJ{~i8gRX+Z((WhJ9i!&?X#d!%s#n8Lvg2bQ_L{N3x*ut5ZCs~mb~JS
zfzw6jtqYBh(e9dN(w=F7p9d%BUypfBkFQe^fW|+E7X%+3cTG8WgKp$goV%j2VJ82w
zeF}qPUvzMlZ2v>f!!HL^dkFI7O%QvBpzz?QI~Ol3CNF&6{jm&L4nV~sb63xw3~^<V
z-fn)G5tsWX5zEqyk)S2I&2GCH?9%Ab#tu;ZY_xj>?yL53cxP^@z8|N(ey;*0Ed@#Q
zTXgfE$8<(5i!gn3PyM-z^m^>>!-Idr!^gVM<I-EJD*T3D=O~pm^)1TiE4=FEI^yux
zkvT~G)o#$ur9xw9dj9N#ZG;UH8tf0=<w;Q5auO=Zy1v>$jEu>d%>B)r7F;4=!v#gH
zjS8?1M1ao!A6f4mPj&yt4__szj8Y*x3E8r@N+?^#L1t#wu{mZD%HDe<+2e3*=OCHK
z-W;5R9D5v&Jr2Lm^}QeW{pkAL|MZ7HJD>M!Jl9LDF6~yv_Z$gvQAz=Qf?{ery+D5d
z?oINgMHdxkKfznP16eD4c-nO1PBvds(~pTy%p=B+`KZxWB-;YKHrd7n%w?s!)rtlF
ze@CUpg2OdCo-Z;FB$58n?H?nZoX#(eZG=~}$WICZ$L-V>0|pi5+`B4RAG#R(l=P(R
z2k3kqA7ol{ESSBK7u{HtW$iuY^wgkt!Y)15s9mMG91VA1w}}EPsf#3MY5qDvUnjo$
z67N-Bh-$^&;!AH=Q7>=@xUt4N{kz6>=QIPrbq|^)HhY8v1+F!D-D>k7$Z=RUR$JT0
zh(bFC>06DRRDc;s>vjkt_KvT=fAISexa771+D^$d_gySEu)UM~ROl`_<sU$!JvEz*
z^~i;VX2*@|4t<Vg-fuWw`dL)VR~rmveD|4(T1LYKaEc{feL(Jc(Z=B+nSo34L%P(v
zDKzs;ev>#l9pBKU`lHoDm9+Rj{jN^Qk-mE$8R2@Z?}?T^83)rHYvRTQaCKYXf1ZTV
zwQW{0N#=NcRrr+f1d^}=88bcHKs0sC@kQ+Yz6YG4nzu8E+HZ0+^MQi;Dk=`?LV-Vs
z)N~2$I%6UJL+DX!PGJeqezXprLTlT%5+)80@3YH9(TP4uF25#Xpyj%ejO|}apUIvb
z>YgDfG!w3LF{J4`8Z83<m^Ci+8tdKP`LS_G-|Z)<{l<o@tvQl}!>O2gh4Tb^P1=Zf
z1f4g*05fvk#(%d5J}IHF@BI+Le@2Yo;BUGofB(oMTsI5knU{Dyad<2xKuK5sg`Fv?
zMf_bSF>N_dUs7;9ADmP~q)pe}LG|r8GC){FWi{#3k#WR9!37cV->?tLR}pit%H5|v
zd1v4LhQyth;<>lecvP}`(@ue}iHSnyEjnPPeZdj^MQX!W;*N=W)<XV{M`}1a@CToy
z=A+CJzwyrSt<mtr(g|S}VC(M$=XQIes0}M;f<jF*dR?*Ky)=4NkbQZ%gaWw_g@pd+
zl&TTwoDq||@#uQ9+pj0<g$skRYVX@scAh_P@1riD>Hi!!P|>(&O4o_qyQ*C$b97(5
zt43b62Onl>Y-$V4*1{DK4H}GrqsCds!ztdF-P$Vu+>JiE)PtAIioQTsl#I=Euk1Rh
z;Ex>D@BygplKbS~7`Mj-K3N1f3*^C2Nf!Mhj7PjzX=we}jGGbP4<gTqyKll(aC)&x
zbjOvwG95sskcF@2^-CH-#JfSqfw61Hv1bFjzaDy<9FE^YDUNvZs=RZ(l?^W>2xNN2
zhWL?4w<84+=eqcSrXL2t9229yDND8+&2DI{x74p5X6=rhH0!IEZ%U)wKB#muB<+t}
zLp+ACVEQJ#Js1<R#Ljm5OiUK%;u(@%mV$ja8I+Of`%%dGt?<#>>P(~jSTB&_nCJfB
zLc&xisH{G1&f?Ekj7F6y8}zxEaJ=@_T7#+F#zeNSKDjF*J@99^Z`qFnTdExCPvOxS
zODs!2O~n?)(uf|rb;}F<nqmlA+tD93qu7eW5cKheuO6(#w$Ta7KJrobN(JeAv9~I|
zZb^&CU;~QC>8(?BQaRI~^Wb^rU&X5-rlP-Hg|`DxU;o<Dg0@6+ziyB0?q6?=_1zSd
zXg<-QjBZN9SS>a4$rfAhnfzXA26X<XMWmMzR8=F&P19!*l01TsTs&0kV1#0DYcgI5
z%pK#lv2B-LDN+yL`a!C<TP^&#Zxp^r92SVWZ&)+H2QOIRP_KXEmNfi4+muz3lV8S7
z<CQ2WUphf0dRR&d{)hc-6~>D6Tb{Qz7bMLEQ&fbywvG<u#dv9s80{g}y|YdVCAB^y
zcr@Aq#V>A|9F<lXVD=Ja;w9(yDSZX(EJ*ZSAG3vNyMAdsso?`5`E|a+erA#(bEu#d
zb=3zut8Va|$0m)4F#%j**^Z4$Mgsi`+V3Z58PibJIDd%29zld}kbiLto17#oF(#~L
zi!dfS3+6Mp`e=4J()v%}CS$qdGps<ZGspk1?<y-(yorGQ?8N2<|ATutE@eNLXPI$6
zLo<GL30bU)zipcIKJSR^MPy2L)H0+n-rDy#VewyWj9iYFN@dqd4DDg`@JV^Vu+Yie
z^vtyX@j>3km5~g5#m(Yr>ij#&X|I6`c4c$g;}mWHbD`3OLNRM_B`39g>mG3;S&)>_
zeNw<n(5FY|XP5v|NuE!U<1pLZG*fAfE`DFfVA@_6W7?#ShiUJY+Y5SST|}97Sg-uP
znETGM_oObA?tO#%6Epoy6VXcErF~EHX+9KtU75(u+j*hC)>Ifz1N1$A-gg~FefKhF
zG3E4rj(NT)RyBJKN!n=KZgMu)FcETp-OO(Rin-5}aVzS*yhZZDN%NwOoK6x$`5%Ij
zSNb4^D!JAu)v%_kJGyfIdBIuU-{bU+xBP4O6wUW)TYEkZl!oqxlc>%CO7aWU+w$Ja
zLCwz*k5gEq7sB^*l2WO{ho;$R(yq_=&9uFr<Vl0r5W+uv`ga0qPbTB{XrM4GbjTes
zR#NR$EW2bQx#3OY_{aJ-#D8Uc_qOHd%)<*Iq%`N(g`S&~3&LWE&umKRk1*oQLyK7k
zHA5GqD2z?sklRD&uP2Rq&aXHdhTl>CJlf^<@!j$5$+$KCt0b7`%i1F){0$ifh;np3
zWa6TIA|L2-ttQRG*4ni%ZI8!X&;xHUSux9Kom8*jDxe<F`o5n*sN(}NC#*h*)irah
z1e&UO+9c6fRp<&w;3f_l7dC40AzvMeUG8QD>XD=*)7U6Wuz6WJ<lEVO&5U=HWFT;q
zLJX)f<)FrE&adi)=B6^*M5?41#1PLQUb2~D-$FsF6VKNSng{KN&m;4Md}?hL8uxIa
zJF_-Sx>tqk{c&77FKNRNGIw>^RPp8il+y1b_999wItOd^)7(_MC^1lpt2ZOl9;;PH
z%ky1R^4dg_{QAc22e%$Tzp+nY8EN;|F=2kqKA|HTlaWs)=e}$!0sogy|HMX3tsB;v
zooM2I!{%)dXl-lp&mud>*SZLXFjaNh{*5kmA|H9_(@inKcG9eVof`>`?0&I}6Kb2A
zhF~j@>-VLmaIdl;FIB^IV*~fa+z%(^p1;BAw=|pSEo=Kj6W^G)_52FGdX+9-lyg9T
zi+YB}Uul2MS(g%ZdNrOSVL;ki<Y3n-S!<gW(Qx%`l$NAaeCnV7G{H|18rV~1%GI+@
z>5$!#-7&Kpg4g?ZL!U&e3?%}aU!4}p_t-2@|IM|obv~(S*-DY<%FE-fYDh0kJIV%V
zS(XGN;q94JIfdS4yR*v9aBJ?LjjVMqZv1G-RUkPK(*D?2ur}#o!XF#qmh>B87Z4D2
zq7yt#DH@Wp)kX}f8f(3wI9*>8fN`3kGr3X<6)O)<e?W%2F$RAiOW;4W`hOas#OsSm
z_ZdkkS?15f1Znp|`1(1`6@S);$MvMG3Eyg;#M-=;%IEz4yz0T7k>k-nc_J6xXLX`s
zO%pTqj?EbtNJIv6ADnL}BU}Jy(}gd|A}W(k%Zwk;xi`*uA5%J*=qhN{35-p_Npr2;
zlEpks8~e7?UD&O=cg&M(9)+i~u|=VI>BJ)b5&9_gxB-;Kw!~D*>Hon_+cz|gu7G9U
zJj(Z(7Ov~<2k^eEcC*9u4if}ZFS#9=9SW&6WG*rxkiAGo8Dvd;Kcwr~Kb)KPX|7km
z|KVCqehMt%ntC_%>Vx`pz=*E2atWR#!K*&?CCOA?hNPsghFl>7R36P<^i4a`B6TfH
z;3+m8v2N{pADnalc9%4m=U3@*%suy(Mg0}80m=--^JyP;6N@+#D76F6?Bnko+}%Mp
z8?@~L3|@;leOW5BltGb=3q+jVR8_rGy~gK2E$nXS%VcM2vhH}g8HWcp`fe`e>QZl|
z+f<o(uu%&t#D(PE;U%@jFWWs@TaM~DBmdF6*<!l!UcjV(kkQ}v7ACZEuODNz3BVh7
zwZ)7zO%<b&*dC*K7nz41LwxYd+$_;ufA7xD0FQ6aP5!QDPp=&pcfl^`+F}m>NQYEf
zz!*PVzwIU@A;#D7K3xf8>**V48&l+#J-B1J^oeDN-eUk!om~6IeAuQPbvs9t!O9}2
zm9Cv$5eb)Rr>{Lt;pOS?yNQ3b?Ap;gh}mk+&}QvVk{1$!kOPwgMyeOfZ?w#a!Ysar
zjmED+k-KMd!iW}OA%w$Y@IsbV=*=P|9A7viSVG##e>n8&fa6IucLj>gRxfM`2|AQT
zr+m2|aQ8v@FYeW2pFO1EV$7k9P;Ugqn{eonoL&7v?TqfHTIfK*2akc`6okEnXFct@
z+A!QVVU;j$X%gl8HQ(PHCFBe~=zMuQOd21?rQDK2o#X$Ggx-7Y9;R4-0l3O2qS7@G
zPt6?f3VX_?;Q>v1yb~P0!lKYU5G?3a@Ux+AvtowGK6S$C+T!QCL<l$*GUhCZ1F=G;
zmLWEexk~rxKD3$S>=0Qies@JdahY2XfdfPpTw&U1FQ>rm8{=RV`zjYE_YU<6ua)i)
z@H5ZPnl!bU)0W8@c1CQP4GySaZw|>MP94uVZnT`69dwdv&vI**wlU9E#aJMiq2J!4
zYh72gsJE<c&wGcaKrr5)-TacB5KR&o3>jO0fJJNdRc-NM+@*px&Jnm=wkU(*pW<T(
zNpxD*!iVX&!t7s|B#10Da7%pmvG?w*=kqZ1?ILI%I^3}(|E#6`rrVEiGf+JV8`1{9
zmd7TpzB9!z97EFm0;lH|qq`qyCk}c{bALk$I%*-3$Q!HiZWw+QLB;>`;{R%r+(DEy
z^e4oeZ=4$ln;))+D8Fn0_AC-)Y1WKKJAEhwF8rDy;_~HMBoC;yjK4_6AEq}gHS(M!
zDldDO>tcy}`R>BX+kep}QLr~ll!``sgbTrrC3e}<V%CLNPKl38^M#ySbkLN|HU+<7
z>eEBM&l7A@_?J&7@l;eI-ERaCIp6kn(iVx4DxJWo_0L{)^;aVE+pQW*o_dSw6s!}_
ziZ38z9zME^?*jqcu<*3JhwT(4Thr><>FG34r@b&{EJF3|-nF-TovUiw$+CtcbMtnf
z+F9MQiZlo&3k#9s^*lcU@>v?qF=})`Vj90x6tTnlC*vK*kD+Bxflr8Ml__rDw~Wh`
zS8s4m1)feaC!b;}YV}q*b&<DBuDhRqDQ?k253=`?7UTyFt$TiV7*LL4LPV_%r&Q~%
zBC%@iqbtI<_wReo?!R(R$yAToD5%BdW`i_V_baHx?GJ@+22T|o)1v4~f|Wdk)$Mnq
zVtGv;T{<!OjShP#IfL}v-~SeNlJ4r8bNWy(M2{vtHRa@h|8OT4`03ya>#wuPHFNc;
z31V#k@ghJ5lkYeonCbB`)twzXu!_Z0)~W>~f0vYLlt+s|-2;;hLpTpQ4>SE{zUuqu
z3klV!uIsG<M4uhTBqtR`FMZ4Q^Q#E?#Y>9w1a6rDY%=tq&d6Kettns8y>&&O?f8wy
z?aDeiIi1Ac0q+7Cui!oS5w3uXtv%)JABRoP%@~fy#s%n?HY2EH>5FBftGlzO7zBbQ
z$UlFmJMZQovKXZyS1QTXKI=Xk3laH%H#eMzBz1Z$<>c;xmnyAAL~H-9XE$Enl8j;3
zXdBY%U{L!SeU={4utbmLR%moJ$$q6u?XFGmtyJ09I-#LvY_-3uw7uWAld%DBR5owP
z^a@;C-wL<zL{SwmR`M+E*2cO*(`6liB9+o}B=APK(lU5-MIp6o)@GfJAGASz%CUTr
znLavMHI++jZ~Jky)s|e*$XPiLzQ|Sx{zyuTaR)N+xb4)xEn3Bcme#`dy6?1sLBP?j
zkYsBZQ$YN+Tw}3|n-*5(TZ~t%S#~SP>dKAV+7su!yJC(aG)xtI1oe0B8#AVXF<!MO
z9Y#F?M3$&WX{{J=s{R>7Oe)z+2)JP-Dq1b_b`N3d30EHojjx{_(|Dg^Zm><;RN&+N
z!Z4AIdmxd@rbm2YTZ|-=j=FWiTVG2E>m1nZxgPs7QGK0P_UdQ$q*VJEU&cmZs1SBT
zZZc=P=19v$`g;J8(=k!h`HI_f%(0|6pv?Zm`!g7e&aXn;j`#X<y+n*6YBRd)#!lqm
z!bG<YzomDrWm=i4K&xc?`<YBt`(#v*ll2#)dVAQ?slKoL@peg_{e>@;oT)^LG4fln
ziNSN*F|LikkM%-*r|iiR(3b;Xwy<j;7E=3^fVo>)-X8izT*iGgP(YPIN(o@&fLoYX
zWdWwm?nn#hA^Lcn`kkngk(WB{9p=ec8ND`(&&#Y67r?M3SFv#ST(PS;@4>ZT7F*$)
zkrpk-9>WE9$#G0TT6@opYOi&elcDeWTgLOefD&GSp&)&DvD%e#P4c^?ERZjC$G)1y
z#sK7Yt8njcj`*>C(N?oVmlMFFlw1l&40n<98w`F10y3d1y~Mtj-mFz0Bn4h;c};n9
zpsxkUuaXx981H=nF$(;7U^EI!CjS>Ze*jc7^Cepc-}!in1~YOV$wSPDDV@e@FN9+`
zpJRCe0xeB%yW-Qg5E;}N7p&^jb4r4C?)uR1a&p>v_D5a0Y+jcT{};rM4pPEoOAZNq
z+4;C|>jR?iNPy6I>r<%MME@(?XYP9*k-i>V-r3q5z0de1*;i{LTdqghuiLwQN?_~T
zI<PqUQFFR)ZW88mZf>&r54R&`Ng9`qodEVdMSFN*Xn>t~0?U%6a=1`_=I_ukV^I;5
zt68~4+Mer=eNBbis8HbIZdMzID(<K;?Des|nIIT4Vj(Zp_@OKfVwc+aWobh+;Ar1g
zn&@1-AO2thUYbAP0y@7o)^2F`af#4h)}B_3`SJ+tknduhc#r>Gw696CSE`_LMvhW0
z1~s!kdU6I7lF(@QDsztl?*x{6zAAiFB<=lun%dj($IYiQPnUs_tnvdk4>s*XeQsRu
z|HNTQ9Juyz*~P6gNoxW_-A$6F?os<v_Vjo#IYw{q?wCkOxZq;*1~4e&?KPM`+wTPw
zEyzx^e4v|J5JT|$T^14h$hX61OK7aGg#og&Y}uXi2$XI<Hs*=aCqK4}E|?=M!H*~>
z;un+w8TRp(kHh_zKchpFjaJ>#gSAS3t0gDB#V?*Iu{>)rFnLU)oIPIsyx|*a+9)KI
z_Oo<|vrijh_B<i=BqK(=n{Wmo=}LUEXdd5cTPuT`(~*OTWQ3t)Jc+Z)PowgJ+Zn*l
z_l5^a|5e|gQpLH=>2?gkkiTDRw}+G!YWT(^jXX>2IsiWWh#Fk=h~FkeSks+&oTWIr
zheC<S!LH=s&i&9#x&ZU`b)$R%5TEUi{pUG?V8@lgKRJp~M*DrH+Pwj$OB7Ij!c{sj
z?O`Xv@ku`bz#(nfNI^p=t9f?nqjvrKGZTpqZ!zTL{0Xh5QCPIIAUIw*qxG5R#Nct%
zfbdZ1`W_kOnQ<_%;sd+=yh>x(&rH>iNRJ7B%_g18-?ek{T=k(2o@)NMPhWh$2dPA)
zOE~0r<$v60&AAQ2j@KC5@TJ}i2pb=4Yb&N~h!bls%Sm%+rESlsix*?WBj8UVN(CM>
zv@+awm(J|a&lOj{R=W;&if9Ju5I%bA{TKX=!gaJ0aI&TTB4nwE>KLk}=2U{3+@$XU
zRs+QpZo3_{2sby$;V<lt(Oo;h7d3GUr+W!0y|5*=$*NFOJrSHe*V?MbeogGVz}dV(
zPz$xXc$~{lpT{i{G{%TW2<g2vQxylo^<;9Fz84c~2bI7*CHrE_Xut|U#Q^C(tom*~
zN7C-8#*#{`N<CSyw{dta%S8>}C4&nM^-6h))3@!X7Kl^I_TA?{@`}rI$-Qp<-956t
z({IP_6^D@VS8~4GedQGpgZ=#If6;Wx6K1W4p?<_qj&@7(a`zRpU+McTeaOu;1)5)@
zv7Ht&$ls?e9r}fg-(7^e<1PAunDB^#K`*!*Osg1)LY|q8i^Bgnhp83P4Pm)LT1Api
zY07hJog}SqYhS)`!nG;MvO$Uy(7$%i@&FuEsA20Vz4v9BG@3`MVqul*R6^u8uoI;D
z!hXeD9A!<kB9^~98Pc0{SwF?`d5N5-Fkq~z15v*X)BSN<P}On(w5>4Obt`{XsQx0G
z(#~~z@hitNxC+d4HkML!?mu?PWq<g^_2zOPyXzx4EnacWOB+Q9CA1N*&3?RJGdnTc
zvmY=$Jy##_5GPua;k5yokovag#Mxi!N#X9RIG&yB3E%jdnZvovkmy43rXkRXP&!4-
z>NQajK-bCmu9~uG=jCE>iK@YKvW=vNIgK2++?QyM(5dbc<b;Z{lgi7JAc_Fyb1R3@
z4W~Cv5X@6{Nc}cM$y#wKe_*Em#b`I)>5X(L{Ox^moVuBdS=VsJ2&mvFrK>K*Vp}cC
ziw?dcd?-9sV=U(nRUUuG=}>VG13lf>JFV&+VuQ%F$8qtUUUCAHlx^|7`BE<XVx2m4
z)99FA{-%20@K}mPIkbBg`Jnq%!%_f2|5rypPYoZ*fg0MYdR^aS<*N$V=n4HJLY@W7
zQUl0F`POzo_>izD?lnGLes6PQ;9BzpSeT@{TfS0JE|0sJZ{TL!0B;cu)w7dUkt|SD
zGdsz)*+J=rVZ?tRQ8pJD$@)9*R{lJIw7lzRgcNIX{#%(CJfKMJhH>$Hr1mX0J7uKk
zm!CV|q+~T6JUfM$4>ijj3Ta-pZXUpqFlySyF`!;{5oVw|>rN*NtjzS7U-41pk-jE%
z29G~v8G90^WGz~4_FrJvsX6^$;@5BJXP>k<*m+*RVcWrESi`1;FTiXUge@NOy?pEw
zsxHRf&y&g#+y#K@jmnF~1^d`W@d<s=75e-t*2v8QCOwyX1)rf;e8C%RV764_mOpmP
z_WYmXHW3ddf`C!{o8ex>x9n|NjH8$+*qjGfp^SM7P%#Ls?pTm*t=sNJ!i+qXQITx{
zx{o&xs^fHPwq!2ddtPuUHB(8nFTRZd)3uWvP#-G&Ndd%ftsJiY?6oB=;727YDP~EM
zPvAjjWSe7Z;t_D6WHE_svGsVGKfeMPrGUWyVo&Ri7b#1zNdS1BH)OWE@n8yk3nfk&
zJpZDi=Slrul7(y!=L6LMRtYr+P^fCf{F@MH-Rukz@0c!vd7-98ljRBY;v_k=wiy0C
z9)Y~GAD<yeV)ohCpXUatrCM0|s?stotX@v%A<cL;Uu;C6y`<C%JqyVO>Z-HFH*7LV
z=<mxbk9!m=uh<Eb`pKmase8;HLT50fp<bP|$0AL|mqCWl`*!0U<Gpd!+}X8KK{9E1
z)n4+H!+vFv>X*k<uB{yQAz4d~^u~nJi@W;&!->o}ssl&pGMeE9{x+<lbPH^K$!8Vx
zjjq6Re%({Lay9x478c1Yj_TZwoC7X)v-P)Fy<f;0ps9*QKZA1<US1>gV?V_f-fIy=
zWJbW^;1#u|wvRbkoxE9U=&N4Fdrc@%vp44zR%HH*ZPyGnkX^$hkAP}oA?LBBI3J6B
zYo81;97GO?J24oVU8PmEj+~mf`hbusMTl#^O9b9~(Sj>3@mQU_TIJ>VJ0a5YzKYAR
zc78MZ+hWz38Ei`}*=y|FLoyYtHg}c7adxIfSwsXUwHO<LfO2wF_9`F;Q5QpItU<yG
zmEP&jAXF?M38|}U$yj6UW>!VH%=<kC00J#A7|Gsb4Er@H&wr3YhU<=}ao{ojxGNt5
z%jSzYKg3Qh2)DJ567zO=2ZzRq1-F_u#tsx5_bS7<C61L$1XNTii2tNo2Z(V(5`btY
z;H|D9jNQx}o;al6TI)fXWTg9L4OTppDCXfV3Y%BWE|HVjp=Sx(G#jU+fmf-o`0r&X
z{=LFHZR}Wugn*3qwT2r6`gIJFxoLpze6Vu~jErM}&p#FlpNd?U3<K#uTjlW5_|7h=
zY~xiCq{n{4d?(f42{kevkTAgRD}M1<RYghra+oawAjS^N+mo&F_c~ddZv=M8w%Xq1
zm)L|u<3Q_3y416DZK4sav4dyi+lHxR<h(P}RL7-@gh(t}rdfpvvu?#bcL+n(3!us%
zFEB|9sHES1Rt5v5>}T<HpY@FhT!HRYIOj1UDF`zvxYQE}Gvvnh%g{ppME5BGSY9Ol
zNAJ-rquvAsIWGDs)Nx>TCmgHmSX<RNB~uAcfXL7#X%95>%4ll!hNo2j?Br*Mrz-8_
z{YYkq(5B;8K@`0WJijvLz0=DO5(hUbo-OOtpv~TQ)oU~@ss$o5dXWfI`E0Ro@hSOU
zOQd9Dkr;8IJLa?AGbu3IcKF~?g;WTabq<9z|G=W)BK>h?S!SB^W!#@IW!Y;h#8bOJ
z`O{Sc@;LvQO5e@Uf8wnYdK>{b%&ffIeIka;D55oPcCiyARfdNh*I9E?mAG>6asUb!
z4*v7nx6+HuA=gN_afS2(L-fBN{q3^4g{O3*Ji@V3XM6PXNs%$B<-Y1TaH@zOdToc0
zP7{z8d7;Lg_$M3(dJ0J?vI=cBtRl&)J5l#k^<3fX;IIn;bPTH&aW&pv2Oy1qU+Jz(
zsMvwImQV)3de3&vlG?r4TH)$|+%a!KSPr9crmkO7Z1FUzMH2U_ZqgjR52fi^aANO*
z+oH;oS32KX#}fLIuYpXXgHpI@2rh?EKr?h)Fb1ACKz#z8&D7;#)g;=iRxj>A+}ai&
zVyw6|T`|*;U<Qna4yhm?6>~#BXESKRjzmI5-OJW{X{%?Sy?qxpi$dvRo+gS0_U;}v
zo#QCv`Vy&_i=GkGe<S0mP5m(6UGE;Ler!Tl{lothI1}Iy(B25>c7WON+S@9uReJ<d
zeQh#1`66K3FNb8#snxz{NTkRGa96x-hd&sC<LEQI)*xfj{TUC3?D2L6AKm8m=`OIz
zN@DJ{XHk=Z*)FY~{bF~}efGQq_N0~rB%e)(d#}Z|KDgFSei#hM?*Pcuf+|0(M11c3
zeSE`+ic;DYn;2<HO0pb>7TyW7ul|KRAt1QZ#>~yzbp8EDpL*d|MfXfk)5O{yhJA~J
zLh%|=n}KZ@bpCv0^FJw<@vm3%c5!*9MI4Vj1oCENP;t<Q1Rai`;`At+-}Wq~>DPm;
zlA6U@Z_Z$QZU)N4arlq3N2G@6J+>FE-@2t>#0nOcxPw6&nj1tU?vQ!FOREAQ+c8G+
zfbijLw+b7zX-vID&ObB5F@rBTZFHr?4p9A0z>n5dfmDBoQagTTBgy(@zsH}Rkh-YG
zjLfiWx4+FVfh@Lh3UVWSh<>%3Q)+{Jo~t>?98hXb0!T7$vL)PW?@nHMD4!j-z~xJA
zHhg*!9?Z~gaJ#+AuI>2#qxYxBuWd?ep%c05m4|G7yG~#poM-6%PBc~x(57;DrkN49
zZ;oF~d$0WS+Dn2K7SD{8#xIQh1Kx_((UzC7H^;Pg!)>F4$Tk4jbbdry)??{<;|`K*
zv2>5(D-oPTWXD|eR|-3%)y(@i4XgHJ6%AYnu|Q@txT?f^g=K@pgkVlABSY-Hrb}V%
z5V70tvcUB%rJb(O(=&1aF8!7?xD?<YmM;eXfell>tWw@t+!(!(bb&Y8_ZJEgzif^6
zUDplLA@L;#a)RlTMLA|LYHv+ikqm-rHxHA)FJg9uQfZ8|lx1c1AAUHpN3Iid6Vx|>
zwI^*cDn;nQir%q?{eR+t;-w#3k|faP#V(R7q3?!eV|$6`-lyz8{H>yq=%#hPg+JeV
z@$8Sc^ubR}Ek(Woty_F@+U)3E7@V|Re3f<Zw5WTHnb5rMo*gvQ2tgjtBTt`w@gvd#
z*><LHgz=^QPjbmj;w^6vBnvE<)}=L{F-VAk_=5g{#^><!Hx@!3eVrzvw6|@eGx7|j
zHm_a?N;(~WN{4ZeLu7E;VMN+hJk6}zwoF}nvZt20LP9*Sw!ipeNx`K%g9>IokEJU6
zE6i4&@ur%(3|IJa_<A~+kAbmYOL(|rBU%$4S|!q;>AYv`aGNzBXB-HQNFjt2zau7n
zgYaL8i+O4a%A~-{mw`}g>?LHGDgSQGW-yToRD;%(DxUVRovxX83Mynas<f}nEtOE|
zWyy#eThjGgFXg6%{RzH5SiZOlC|z=t#&C2`Gm5i<ONw(lusA*l#!^I-1HHckp2(nx
z8gQusY!x-h5~ATL6sr@yVe4NpcXe>dK<u0uCE7z95Zi1r29y$N_vYeyfhV1>RO%hZ
ztzsBzl6u{+zzS*oKvrMiMpVrY1Gr=RIRtsGFkw#-9TOJ05?c&8SqHd8ErazT4;#0K
z()bZblYwZnS!nxV??W=Sw~tJi&nhz|%!?%dmbl@|<@c{2nT@xR@jql$GQxw%|7GO5
zLasON7HqU_%}5UnEAwdXdau3xY}9X;*_Si^<q0x!INtZ0l{c#;G!sniaFJoN|M1T|
z{gC>}!Qxkvpk~U|%LJwWk-n1ceI0!7kN9WVZEgnIJ&dEViGKBB^(E=%4ERPe!+5iy
zZRix`eq}7y<0%MN5P?-I2B_Zj1AfC<RY#6QX*|z`5ozo3J#@mzoD6-A<5if#C2Jk(
z3nb``@-0Qj{XQpGhn&1^lojtgaUbpufq-K?^D;DJhM|PQKCo05{Sm;gMUWzhx3P$v
znkN7EKwg_CyySKJ>=MJ*ViTLd`)vG?#~ue>vlE(eyi1nJZq=4^7hPlid~{PDw!iiz
zNzQ)F#*3t18*+}Zc>@5uFNhs7IhQY7wBrGlBx#C?5g@U}z9VOB?Hg_R9wQS>a2jw@
z!C2B_2wV^^&i)LZp^U`Oh^Dk-K{1zbC%-n~ym`gYl!0C1u+0g<cKchOl&wY6l7zZ9
z)7ggTV|0?4%K4BLScZx}#t2h6Y605dnQx!kZW-!HQGXfeLa;XlxO0SxDGr;>G+{+Z
zB8S=0SG)QO>vxkbemB94B-YR>8dO3N)Og)Y|MQTc;UZs8NHA`~Elxj$;_sh4sKea9
z=kb(YCh)dH3dtdNSXNi^jY3Y4!$g(89OBtCU%?hecC}$ID;N~_lymbXzDX^GzSx5W
zt4F!3^6P7e_2D1>xlSB-uzhdso33bD3OVO2XdC)Joud&hG$qr$jn1$}Yr-CKZraCx
zXyf{DxIa^yDB*jliO9Rt48N$1Iv=r0>~!K{{?@Zn_#^t0O=HpX6pm)g<tOyc4q0Ry
z0UyOPSZQ+XBy&o!Id;+(M<2B>+0VLeD>`14y&}1OE<zzy5@r!bQzZM?23*WMd>p;|
zCS*YhnWG@aS1&Q{D5_gp8v~jCxrz3+a6{BIM!>QJz=A9L0l+d0nA=|-Rvgz=v}v3f
z(U4ES`s7tf^1G2>xdcpJk7Kz3^cYB;l?v9-p&&1}y{Ry}%Jd^UrF<l|T62Vlb1?Sh
z%&}SRW0hVBk8MP6vq%D*K3hy?AF&SHxHrf6XRfMQ(uefFzjO5JqmaAE*hfS_`!req
zgd>w*FAyNgErHTC!b615tiMFfsRbd?%Gm(64M^%Ohiz}urH(R^rrIh9rOx-JkfV|q
zVD%v$RvbyY19ipQ%Dr;pf1_@(&=eFE=-CI0F>e+>nkuUCTdvDNuks%&@zEU~bd&xm
z68YyEfbP4ryh|*+x5`b-+a8n9AY{)fwXLcu>^aA!gYOxvQS%J_kuA|9{_AG$8wZf~
z<r>>QSfduC#(ZB0v1r9T&fm^pvN;~eQM^Y|uVRvk4RNV6I9p+^mius*pUrLBDV-iO
zVD0VY;BCNC9m8cj3@4>FyPe#(qle`>B|fwwb~SH-ZH4Svjn2-*l?%51Nj3H?V?<gQ
zA3sNul3%Dl%H`unLRWHh!mpqgLl1N>x)YjXt2_=`3zqvCCyhto%qkePqr>HeK1MAB
zBF6$*Pw&`RQDgHoPFJrF6%i21j`3nnyu2L>dKb^ay@*MUpVetBX7#kw=XGl(P2`sH
zRoVYavAArVB=3IwJ<_+P;9$biE5=5%`WpoP45G~kX(eullf)nU%T;^5#*KNZA7MF9
zP*iMRSd;QmNtqNXP}%SF$FyoJXeWA%##<AZ0Fz+6%E0I6D&GAJpZ?)DV1=0E80#vZ
z6zB4Q_@2!F*qo^-xX>p0Tjg*%V~!DhUFfgIpIQu~T;}}p#hWk2+S=kl+fET~xtF+6
zr%L8gKzt;lbI6okS{jDDLL7I19@0(BEL)ymw`V!N)JRkueWBl=kK2^ZP)h!npm_@D
z6<}=l%#8=4fhQk3s~Zn0NJU&IJDK_j$x((+W5A~ak4)$){lVV;@We&qI*0-9eh><7
zd6!S$hME_<Q*nr4iMc}3ndjdBJuU)G@1ge$n5QZX%s*lE^lXTJ@M9?2(P>M^!XWqE
z3(QN}Wd%S*BX%>VepX~Vxkb+&T$-h<uM!`&>(rzE6kKRri>gAredc)iI{vu*6k(d(
zyh*#|t_|MQX*W35L^^W*bot05reb(8Jv=y*RJ^ErEGe?Z6U<}kGjfYwB?4fbPit3U
zT;ggazWvDGa~LcwChHBL?-IocO-SKA>y<MSmLVR<eFXfckNFlfaQu-#G=$toPP!y>
zGv%(X3yfPi8mSzuvtLoVlR(}@@WHPR$H9HuLjS#Cs(Pl@f24jh>P#$eIZzA`JjEIF
z+Day{(h!Osin$xzg%a#2|NgyR*1Z(ClLl?n75zdpX<H}^2~S-dNZGdrNk89f+6a&7
zPLi$o2Htmmb~`lXCGHtD(N^kKe`yG1DX_w%9c4vLzrejxA09Z8UXC#t{g=;u@W+Sd
z2b>c0&y%LX(CAIb9odVE?}~|l#bhW6wpX8r{jmU}5{;IeKAQi!2&e;h-T`@P9|arC
z4*4ZgH`qw&3h%H#?t`?789&7h&(rl4(3BkzzFrlpKgSw;myb11W0-EYSEAC_cQpwp
z=-0hNiv5G*zd8+E4m9z@blk6H)YFAC8m7<k`dg9%#D}A2;;PyYtlFCuzyT64vj1DO
zEC(gytiAuV^!l7rK@Ii=@$p51VG>cDmQ>p4c1)u&Oon{-sPQH#y*hK*C&ATz*PXXk
zD3nt8WwE)dy`6?25#nte;_U(Aqj;KEs|u!Oa33~TF+wskzBZL4S1M&>aG!KnS!GZz
zmfp6G<`!KSB2<6IYlw}1T=1NwOKNdU{f0Z1a{<%f4u~j!#vf}t8sz@q0kJq`tv#N1
zSaf@^I{qIxXg1VmHnl0=<h$Ds#xk|BQ-tBa^9qWJMnCv#aOU9Hz=|GvIR@*}er~&K
zj_87{zMwpS$y;m=K(96X)){PEP4$K=E}H0>+pM9>?-p<0eOIA37S^zs-#3`iT<`V}
zalKIh*mz6tUClfbgw$d?fBA8*84Dl=!KFnIR9*3p6@@-^LBxSc*=H}a@Od8fhSmN;
zx__5g0P`Vev2evkgv}p?8KBMs{8R!wDwiN-rD;vZo_+zs7t)|XR&Y*xQa->Nv<hc}
zs}Ji(_Tc^Xb*QtV4c+Rdm1gt8{DGW@aDTY&%th5I`U^HH#O?E??3CF{H0{@&-iEZ%
z_@#+_Ea%s5j|Xn>J?9-(WBY=i&*Zz1iLQWrG6$NuSyN&r4z-D`q!0C4%@!k9$ryXu
zukr>wl+phb43oiq{irzf8*xmM!&v&v%0~=da-g%+Xg(CnA|SakMjN~k6eZh!uDsez
zz8_7}-Gln}$%&_Etc8)c#U)Pt&I(~%Q?UiK+Dn}EAZwrU<mI@ZJJ&Mve}d<FKx#aT
zwRIO}CkD~4H2t=rM){Q&->zGuE1FWxta1flFDAQRwJ47yv?<NDY(|Y&`p=2s?Ux#*
zt!R(C^3#Zg8pkxp0c`e53I<FRhoPF1wf`6`NBqVJKdNnielic}q01gIoTWh=m&zSp
z^P@*Q%eWySetn@+$DBwwQTt|yx-~cH^@P@Ro;RkGKz9i&3%PUrK)J2FW##nQ#lZ(p
ziH~yoFY43~J4_Ta-0Jx8eqQ<KzkBG_J_qF#-eU&s0s@<8y**~S88d8!d}nXk`*MGs
z!=PC!`<6RMI8f^{-s0Jdt4_7E>oc;C;5SQ6OywT)_9nUl(i$6GXS-Q&>0B`OT`ke8
z7VJh<lXYPz;8HVCuyIR{R1s>;WSu}Lb?HrB%xzx33op&~3X2yr0RH_Twnshs62CL5
zkHLzHa%dg05A2?K6wo#!OLbAY#IB2R${2InlumCc9(2J!WE*U=9UMpO(K~1rq!iN=
zQc2i%7jjppxB3!7r**0=O+X6<RL=X9;^G{8^>Kd(1NPLvm0s;+a1ytJLOj?&oIEW@
zAd~X7x{b>@!+oyVPmX@;#n=CsxohIqW^*mK$r|_46lRNWK1Y4lj#};VXI<2t&Ud~+
zhVwh{f6Ck7FrVTh78!ah-@a+;>K@(7r<o|&><hb@-u|9r);h(wCI<yT;{$x{$yoQH
z11BFkj7FEYmznox;)W(Kq%tOBsFpu^3h!$7MQ-BT9lOpy*6UkWkDuSEli9#P!AR(>
z$x(&^t6OCr=6rv$4Qnn<_}RNR=0b&lrbL@^)llFwx1tF(FxG_|6HyI#!U|Hzk!Y3n
zj2jd1Q@|e{24URb^~S{L;8tb8F{JFfb!obC<F^F!W4i`oT>vh8)9vo_tJzgLv#AX?
zau^xEL?0fJ35OBg=YuD&1yFH2-{e%~PET7@n-zd|3020lBc!yNi@6*zhz+%N0e%#B
zFbG(B*DE74jJ5FcZ2a)}v1xy?0{3F%#CZ*SD<%6;#X7qA0AcYmnDb}GZiZy}_uQ8_
zy(H@KlsML1oLV8kiaKu<iaV|S_-0s{Py2T(Lb2>&fh9ViApZ%7^J0I7*!9eN4QVva
zloLe{Hka|&NGACvz=Beg5^2~zw|c_gvSnJ6T-$@UV_}qD92+|{bCu`TW9Ru@>fUSF
zaj4NDe{@G_ZwDOIcl0f7@n2^6aXoiWoP6^l`9xMD@q2G1lfLJDYu377@x*7D>n}`%
z5mhMow>mEl-hqfuUM}%-DW29(m9$=E2hGzB#)(}*)ohHa6Yf=+UTf~78`r)(dil5>
zUNEzog1*%CIvoo)3Te>f?1{ZNHHIKVY(O&({>Gvc_P+h4b%qm;b^lriCe%ZqRyf1-
zsVYL(ig7%G+0s`Ra3_%@_{rHhm~cSab|pntv!|?j!-Xt0>ww)$I7S+W@A%VfnLA&8
zZDNz@0}&**2vz*C{)j1_s*?;_c49Xld^bHai*924o-zhnQzJ3J22jJeK{kLKWj@~E
zdJko);JH?WrK-`1I#oQpMpSMU3jcH)ag6}bmqXJ0kXdT3*TB}zQ9=v|L)ddNTE((+
zGDoWLw0JgZ_V_aKwW^scyaxH-@HKXm4f9Y8{^zzLWB=@Z{KF3fdNse`29d|45_gyq
zoGdN26Ro9=`+heLU-e(kFW-WC^T|~Vf-?Dv7Cq9XFdUvKjPv7uLy5i<<BN9`7v2`S
z<v6<aML*|XL%$;aVyfP&;<k)v8r-ajLJbxiIQ57nVaa(UL`A|=CV2v*6~e%6_w`{X
z$^B)q5J#CrxrB(h{iQ$F9|3I4zWt-C^Rrk|IJ=a-sgHO0I-?L`{hy1Qp+`dPzFZpt
z0vBHyN;P^<QB?U?pvzT2H&=r?lPcHjyqKBH;7T~}6u^n%5zL~Z$K}kO@TiTI?Jp1#
z-=fuR&%3dQdoE3ACfMA(AU-pCo)>se6gtkzPP%1C(}5=9doA}C7`Hr1z;;Yl%Hel)
zoY(JRKHyJ^j0xkwePo*6%=P9DHXMyEjzVEqT?hRCrzp<=*hKrpsSBHqVD-t-lgkr=
zES9;@xxyu{zK%eB1<sxT9z%US*P0-=2AHrCA5(x(PsJf;4%{~sIFA>7e%SS$+7*7l
z^ZrWn>W3yvZ^gsRGRo{SK4d8s0pmUSaJb-N>_5k&QS%Kek!8NL(omy?Tl7nNCUw8A
z-#S%(nf<CCaJCHX4vxHRQr&{xZY5`&GFMNFzfwNtLfnXd@`7GzRj;-DXiCR^5>Rzj
zeFg?@z%s(J0hzzBzXW`xrmT<oZ{y!Rg+}dbl(wr_(tCdeqBc;w@2r#A{VC~Aj8!gw
zd(VIEJRkHcKc;{@=^1Maxb`Fv_0VXqA1Xc_Bdi}Pwv1!6<b7;y(O4NLMhH>92AKr7
zhWWSQK%d%)Y>9lYqc@V7?EtNUkXk^zl<-I5VbiseSp+kOtOZEgE?Xg>fsbY5G?(|T
z{+YS@AZs%{Gc7a3ibev6QYHgL$(irt$!Ko`0QiR~^h&`=d)az>Ah>2!;&TicjxXQm
z*dSG`{3)1@9dc}frz1EkImGgjVGijJWw)pM-^AqQ_&pHk;zm~dVTuC|`vDZPWUK66
zxbFspps4*uY=u5+m$v(QflF(08A9x0>kZX$QJHYqVA5mLq`q{(^rGirq4@W58?SEb
z2;-GvbSb?<^<>56&O^T={$l+n4$IAck-EZTWKgG)K>FjpuJej@i>bV}ZtRXL)t|G$
zQqA9FPE+dDnU5hhDXqCjQ;B_(iT5IB%!-^ks7*u@mg}!-zh>lbaopHCIA{*9zf!&V
z<Orou7>EiDJ(dBSw3yDfI9QrMd&f?EJKT0}bPo>r`t6VR3^8vdu2P!ZAhl00hpiYs
z)HIH-N9cZZlMP6EUT0X=kp=f1#l|gVlwh-~lki9pH1$oWS7JWpDtGPUPEE1t?3v+q
z2}Nniz+{eV!Z~dZ)6W0L15SmfFEI{gsRIOFWrV1xSTPfzLTYWju+fuvWU{_VPtX|w
zVm^FsJ`h519c!k*p+h2?r^mIKGh@RWM%Uu&OAe_Ui(;(3Ck8(shE5%tJP4jOwg;=%
zZ>(GvFIqw{=$?HFjhLS$HINj#jD(C;bnvM4qo1VfXi7#@SLxLGfrG_P6do`=$y0SI
zaf_ppg1C*n4l(8g#UO9`?388a`i_R7Hx*W7cF5})*Dq{O0GNsEQiI&awbVN#90r5G
z!=I8Wtt5fhe0lx`nP4_AzId{UHti){8hkc7c|UdvNUh5h6v@lzgKFZA<-LO`K`rkz
zHMy;yh&TL+K9&YE?fPJoS?IRb=y3g@<Ymr|3I5H+QC*NNvE{s<`?fWxwfrhFf3CjZ
zPLXN!Oi$2mOJZn;#X35EbG2}VgQ!m(I1{Yxm6h`x;mZlphI;)gv(});@T)C}4Dqy8
z8qWt2s~6AaLrkhAEKl;aGPT>U2))F3*#TYrfKZ;p3(<?4M6e%DM?VM!u%q>GLe8_A
ztOP4p@%+P;3!-J<t%(;ha~e3MD0m@V0pNr2t;uY9J(>y$4|t60egUd>`#yWED>>6q
z=$Hw5-!hTra}n?A%0v#taUGH~O?ZY>p*hP4%VA7>XmkIknK$5lV_u&<GYVE+akBNE
zdW%7455czu!09R&9rYCg9iRkq^!5k<hCi$4CX6y7>YH>;JC>kC;DK$S<#pLEq~5{e
z4QI%mY@ojpGcIyGkK`q_hn@2aB>-LjPnd8kMQG|nuGcmh`9h@DM=rGCe(&ck{-d{%
zVXaBV`itXhUhwfW1#oJxATIRP8B3*VK4>t6ZW_aaz4Cm-z`U#QfpcS*4Gh@}9}u4;
z`bn0Fz!0<;+n`<G<*0EgUvoUvQ-A9s`B%9^>!67tHa``_Ek5y>DTDU*>lf(J+la}b
zP2<QtC;l$rn<I`09O)&4299hQXZpb{;Rl-Pm~6R;-(UgPq~Brk8Xv&@R3JoJ8siJh
z)l;Ikl;f<w_$^H~OkZ3!rw10n4nF-nSuG$P>V~t_Z+`uT*7MyU-dRD#t*V7CTGdzI
zuA+ax=0Wj^#?#ivw(=Ni6J-z|4{))-j|Xr#p%~wi;!D1%Urh&2evLqiyxsQs%fUWJ
z@dQrddSA^h8N+s*2So=w<$Ov9*R_>|Mc1vWeXwx5F9ViTU9rkOp1r;Al(;y-k;(WR
zqLiIB6aA)9iAyC$&pEnRdEZWftB{WGaN`iOI8-BpE5U}`MhHDea{HQi{S4n?!4=L_
zb0o5b+|e>VuQeNge%?Agl+)vtkr?>mZw<@ibFvx6V@%(hY_9!>uLcKPUC*4coHhQ6
zMm(>8xzzIIrq(LALYb_XMq5nO82S%k^u4F*NlmM8_Mq;aMzJBls1TaxS(lAAo8t@&
zMum;{O*V(9o79D-Y^gcc-?7u6={29`UIdkR1yj<HS((6Md5QW4Utme&X~=PU<ox<*
zt1$2glM0S6Etqt8Vy+D0Y^0U`Zy3f752V%9$B^g>R#1E;FtCtt%;RnkZ3-Fz@1;Ci
z@A4Zb>Yn(-2O0z@7Y(k?d6kIjQf1u7E2r90Tc7%z-I+-xUGUl9qH*_87v9N695?tB
z4ApLz=Fe@<-SMDspFIbbEkU+Uhl`zSw^MxIEBiYIe&7{i4XB%y(e%?!XIaWDqOwu`
z;O09dTT0yAx3!&)1bpIIPR}4?KtyDAyx6yFuh~$q7&h>qUiZ{~`}C1bBFO?<H4|Ql
zqHEH{7MBTNFRzSLp|FinGO5(FOdZ`M%t_B1lkW@GOYI2tnuszL^GWDw8R`cfeR=h|
z<(IH0=F>Y;e0ivUQvQT6=hdede>bQj+G_6Son6w<wQL>`r}Tt3p9YIxzAt4#?<Zx3
z75%o|XrHs<S*n#@g;V9Wqfl(9UgjXGYM!n$#B~uIWwmrUa!N&V@gNdSX`CAIN$*m0
z)wjT?ap$?43U=8B_XzixzXU)blvsLzLfEG=eq<t-)kLokBhDKy;*)5x^=@7Mu`)z!
z!sRUYJZws^T5o9!K+tK*TNJ{&#(=P!bZ(jp*JWwQy8y?BRXOGzv#IMZ+nKJmNiIpG
z$elI#Qz2sf@m`wQFtRS3iDdp-<J3zVTpdcJ><6tNqH=fQkx7@jaz=fDkKFw9*02LR
za`tTqxX>-uO$Fava{}P(B;Q>d*FNu9#i*b+uRo`wf$tqu{OgC~0&0|w>)jN$f6bPF
zW--yV;-D^;Tac8jeqqNZG$m@8K*n5(slg+Vjt=SoF*;u&hNjDSAj7XCd|u;_KM17}
z12L3vAuFEA7-{*v?k#s}RumN&{H0(ai!MCaF)6})e=C*8Z(l5}L%iHCCzd^=iwCsK
zv;KE`Xh62Dx$~tc4)y@q|EQSZ|6GiHBhYiz{NYJVSpoRNJ6a~?Z=~{XD;ZR0${;qb
zC#aC7d4O*gVW=u|GyB_}4g(5l`fYaJ0_spx`i>>pC8Lf9M%UgxG%B?%kUIKoa9QxC
z(G_hGr1gIDwNjg*dkUiFj@=Ca5GhNLsJZ2n5;afG|9&-@5isbRd$&GX3JG6Ps0Jfd
zox1m8(tNiWI*OnsJx~A(KC!d8>nk)WYV8e%UC2sE)nnO7?%)~nFQWFNglKA~5O%$~
z$=PMpmWggH2@k(9PX;m79&47CT92STRZI)j2p&`-97=eA*7%?6`uDbHix{FrJ*A{O
zzZm!N^FhVWHK1fl832|J^5&gOzLbJKk$<%2Yloe3Y@F55cG<KhfYp&X)>*^&oLgHj
zlVyn^J~4jG(;i%3*cx`z`z6jt*nS;-+3^`+w|X<wD+{Yu-?f6J!w@+BUw+FSNt*6q
zJ$~<z2&6X3*o&gCp_}XRFCg@z=46H~7^J}$G*I9nDK{=&sEm(BF#efCxc`hNSw{ne
zRfxFhAnW}5=~&9ierfohTwru-Sq7Z)*Z;Ev+f)Y1hZMi7xw7cj#j{-G|I@dU&1iAc
zCfaae*l-XeCGtk}6K(OG%lyJ{{tYzBie}rSF646c`|)zNfk4C#^7}@k;;_gFMan2T
z)%bJ;unV3dei}CJ+}|}ceDbUBaf3q$#V*^bLx<pnp0+;gpmy@|GjBjOMttWoc#&hl
zlQmlZ)3J)O7+a{=p;O9r-|McP=L!SE{i+XIgd&oE#fLZ;oFW!qm+va!je0t<gaB=S
z8cc50FInrjcVxo!W!@i#dP*XA`jrZQb59nYwURDhNQa!55v%$WmS;jz9vE*YLwQQi
zAv4<>-XGm)tfb5_mi?=Qp4}3ktza2GTUT~ctV3zz`Rn`zUrsUYcL!NzC*Dcl+sk&?
zrEoVTW|u|}#7UZr+}ng+^YTW{6N>A2v<>5@G(C4d3(9w$niyuXEhW#zJx_qM<P7b0
zoo6ojmHC_-zp#@5yY3^-k-J^(h;!Z{sXQUon8<-opC=$lr^r~58*f(5$SoHEi;FYc
zPp=qV*SmcUr@-1#J#4rVr$6qM_q^q;R`WM@FCH^N;+o1WF*^U7Fo#=_6p~>QVtp|>
z`>;}F(xmG!FxFRP){^7@dXm1kJIHPCfxVTp3Kv#6zetE&0OjtXM>iSHkdu4BP*SHZ
z8-R7A_V9c%x_*mCAmeIE`Z<MhMnjjId37i%4f$@5dmX)_>TWc~V2;^X6`Pd$Okzy;
z&$+Iho0nE9U)f<cDT}ooCcf;r9<W*=%dgUVtIxdUxL$jdPc5>&gu-;|&v~uAQ@rfF
z0Y0RSxT#W@*04r~_WzLe6%JAMZI>z{NGl=&0wSdngQS#*h)9E!v`BYPkRl}@-QAs%
z!VDnYAk6?X)X*?PckJ!^?tc3`yMM!d|E@UaT<3Ut>D?soVcb++eRexP*)((f`H@Ep
z1)9*zRjq&e!1;LV`uEY`=m?&%%6ax%6_qwo1NPSrKTke{&SQ5%fTK?;Gh80J9~*^1
zp*mNF!j}O!zm=9sd+i$&!m4LZi;uNqZukc7rlqPU&X*xDZ|3HgcnxtWyZ9mlHY>Ou
z?LwoRQ*3{qG&!klS8P_v-l8ur_P8?YY!Ghaf~zI92Vnb|PO})qoVsxpw<FAqrOdj9
zkNM7A_fGPHUhYmo$$^SS4{(HDP=aYX%Ju5J5g>G95>+&V^1=8QE1W2@HAfa1*yh)S
zdyobk*s<1SXaZhZ0KuB=<kEILwWi)H@#LRf4lp=DQho3dXK;(ipTCA}e~~QxH1?5(
z&yhcij(h{?Y07sPfkX+t2rZ6=1NED<SmJCarePk&!`sZ<PNIj~T7bU|n}@Ee&?DE9
z?XSMv-p;oD=}gOlV4){Nykf%<=$e;3qAT=Qr9VlM60I$W-gDboG|L)<s&qfD$!}gz
zr0z-n4E59%LS#zM^k;SarLU4mN2M_9-KslY^-iy~xX)?|ZCdkLl_$1{LP8dk`4uaw
zRKs@ybX;L`iGcr;h&G3qHhb@{3z-1S&_?adc9;)PH#zwE@(ud1cSIu*so-%lKnX3<
zPnZ6CX6d5@U(Mgs?-*y^+!S2y>|FU(M~od@AGQ5xD?|4i+Vzd4b2;UmElmh|uxK6_
z@yA^RBqo}#lx|5u$@@MNf`reXH^NEB;dY!jZY0`P9-VV6h-3f19F|bIo3@Kqd<LZF
z7H3=QpG2AQKvPzvh8P<R;Qs;GJz?_3q~f2N86d;GzD~Fxm4vpZ^;5*>wd$kgu^=+7
zI83)RzN<MArgbh!Df-ab^VNyG^gnSZ6CB~Y1RqzF`rLpTVMzI<v{GL>qTDbK_Vad|
z=*26o=O)?E9<z#;>!v531-EL4WKzfj(*KBvs(N<0ie!>Jp7R)M6C^BO^zOXRP^~^Q
zh59PC{%2Cr7}Wx}%QQb67T4Zd&hY~yod>AwuW867<;Dhdk^phpokuzFAWK9#FJiQB
zV*Zw1pST3KMdV7ibTfZ&I0rrkHEoGa&<}9ihOW4Q@mKHW-39NB`CSn-M@L?J*1Tzv
zknF;l#Zd3+n3PU534XxcKhluj7x^zymAjyq2Ps?_e=x^sI12xJDm{~wFHWXWr#8M!
zyXJ6E^~fH;9|Q!WIbM&{L~->vciES1xsqyv^@gHaS(X)Khr>h78&Ej*4L0e$GI@Yr
zOM|fgofn0I0A=hlOm*-655Bf}^G3JJA9gNopU4})38nVx0*uAa#Q#DX&xAQSo;Ntc
zP6iyZ(gk2QvkmKjaN`wLT*4#|c2fEFlkpkeg9E>hZ@@oN{-R4-ahDS=;1N+GiTcdu
zuV*75hJS8d6fBm0Psvs^%;V{))4TU$pAH^|z=#&wBJ&-Fr_CJm`QVFguMYfden&K0
zos8&DnaAs6HZrNqyP&$6Z)374Vk8QUu5TxYd^J=eBwo6xBu`7a{Lb;HCX!v`mreRr
z`Ke3DgVy;Som-8%6Hnduakty=TYeRK<e0gDlKXKCP$Ymv@(*y`#|7v_oI1|Jk}>p2
z+4C(4Hn{~WrsA;uZ|`$te1-SG29Ewb*6CJL^LySF1h-(|G&+Nd2NytT0p^K!r6<ep
zwDJ{EM%(sP)*?qW3xJ0rJ>c;BaqGyov^r4^ZI@rvgk$I*ij8?AQI&JjzoetmQ2o2U
zEB7Y;*5ftD2>hK^dNS9*Tu>d>C9gUs1FHb9(b|4|0yIRtk*5g@9Lp&%z0pnD3kCUo
z@D~J~KWw!0r?B|{X0n8aiVtaPSzw`jZGb-ASBpGqGJo7H@Xhq#5Adgk@LsvF5AtNP
z!a#n2l!X8!89)!Ozccal9&jUnJfBW|gjRGzJC^&*mcPufXYh#9@3_p2N>`K0PkeUL
z`mpDqS@X#KgHF+WiY|By9m)95Sw!-6z&hQa;s@N-giBlsSgAH(U83YmHdHHrK3z+_
z4xsTrKA~Qj{CdOf)t<`{@%3Qk=!ytr(nKrmTRI1Iid|%rc6C7Ei*GIP;@br9$kPw^
zui`G>71`SC-7R~y8aGcx^+TkWu?LB}-Cg`ti|HzRp??MvE&0p={3iv3>^!;(Ug!FY
zY{c6(4Lm|Ce=xvRBAabg6X8ynETH_yzjyROlwi&}5~ZO;3FE2Z4YxP|TQcz<G-!1x
z^lOTeu&>VPJL^4}35Xykt3KY|5MEaA*|8>@szZoQi+iokdADURsSSWY41_ITIz>S$
zhS1k;m758A4sUMNUb<Tj55GWj$SVg*4cu?iw<Z>!2TKwiiv--}(lA*9?iKJnt;3}b
zok~&zyfZPUz|^_zBcuP>SRnZ&;{4+tTi-rbWs42{R^$U(pSBMk7!3=|%!26@8*W+&
zDsA4$fA3{0;;jDO9H+Spl)Bkrv2R@K4rr(ZALofHPbdV$0-D0)UAfB?$%kp}IBzON
z<GAphc9CX<$Mold#LWi2VIfp&ZL+5XxBrPl?G60gc#$F8`<B(@g{wXPpKM~9mvP0e
zT^uoVqV^aLd_Zsd&NDF0L)aa@!F%G`ERfQp72JMo3V@P=l2Nt%zAuve<qRqkPtt$7
z=IC`}Zwa1-t0>!c)#$Nagg>YZlp8MWbY`1-qOh)CJM?q*xRSZrM6wM|+SYd#C(+gg
zQ2E1O$kx2=?zhdOI-ON=xmOi$lNf1^G%a4RFJ?CHR{UJ(e(r7Uu~fm%`p6Mj;71Hs
zz5_;*|E0GIHhzu&J;D~)e&`ygF>bZ(c}Z#ljRt@j!|98=Z8Mg>BsjyN4Q)O?(O3wY
zjU#cvl*T~Ny>6y33ud6$F((92!V0pgij(vdO;{fQ0s#=?-=}iIfSiLqu8Di-O}TSb
z0K~mW2t9-NuQqjwW~$2womzlaj}^2xIP~h>0ZtswXc~OH+j+#Z4rvF)W6ZU70mVfE
zrtt!ClVpoz(}BS>wdXU`G7Y%?y9`JLAh!<&>6weLHgYPxO8L{8e9K+J<`oS};fp~T
zarLd%<2W8$b;2+5eE<ATm4R=(z~chz^u1caPQPdN0QIR*h*_M>XQLUF_6|469?R2g
ztE5h<<?&!Fxp-dLLUcg9p6P7)WmVIbN$JjHUggWVXQ2mg`;AHqgavC!?tfF|mtl;s
zq65q%CpG6_HE+0CKuiU<%I>9DiSY^Y-D;-%RC|ZnZu+hb@jH}@1&9_6aQq=ht^t5F
zjRF;$s`7nr^TeO%9?Z(%QF<G5^CC%U!+qy7%;oDq?Q?ZXIz0y0UPHmi>|ICv>-pR)
zT&^@?rI*Z_vyqN3jqLC$tqsmJV{d~_#B75}(36e5z)f<TGau`ppBJ04^8D4s8?IJv
zdP#QfhIRU+p#xyoKzMvfGv7gs&1q^0;3(7q9Qxe@4mde!sNcWn3$Cx@aMSnoWEfyu
z-LV4@kBGl9a;~w0`SqAf7kR!|ME{OkprXNcO<G)AYzhG9w#8;ZLhSX}$cd3ZX7366
z516@hTGAs&=ILGzl7yemA4PwGN-+POJJz{luSOi=24a7WIEF9;PI}#tjbGrT??~Pw
zCj^EI%r#P!vMy)jDE!(Jhxs_&kBI&@t)MpW{a1yKV#wD5hu@{r*1bpKRC;e6jYfMz
zQ4iWtfPqrS9OI5Vc2%;gkP}jX-8|FNlX>;H!1=55?!tNF|8&HrdyAE39p>Js`0RT?
zBj?saES#wx*PrV&8T5|EVI23|FCo-g2$forh879x!=bWY*JhgBEBe8|@a$9BH<V1R
zP1&uLLlwx&ypH|%!9sm*;v(0}ujY^y&Voe5eD~P>NV8S?5Rce?k+i*c`Z3(5&^{Uz
zwqep4AE0PML5gGhPG>;QVMW&D*i;U=&bx`OGd5ZN>{p^3*R#(Ew`c%NiKE2df)$Z?
zmlswr(Wp;XyXzdUb&4piHAr9_Uc5UAO;jP?i@~E0PCfM3tA+<xey-l7E|LA#f@%yE
z!!^?-E8@Zz^>f>-1%JUs5c)jQlcVRe<MK83_E#EI{b&tBvZ8L&t8Jf$l}hmPKpTRU
z9XGeN5;XT&e!c6#X?W}iUQug`mF(sR^ZdGa#g$7{4p~rOXifo<i>;QZCyL&yd&+Kn
z2g}nB&u@jW7YQN7aNPg7^edH|(Xp)Zy#JxLbA{Z$oY};O0z3A*@A-M(*Id(_efCuT
zs;o5!|DA}2wTgxU(`w^qpB-<X)2j(q4!VgVm=onUQwcOnvC|XtObM%`q)iDlk4St(
z;%8N&&EKYdEK5tPvtT_8;J~;*?hXALS7!MfMkd{8Umsr_OGpRW5k?{dXWw&x-Xo|P
z99%qJBxJDTg_}QB(iwX^Hzt;RPqrL(2`)K!4@=W*AEgrQJfC8j8@J%8L^kfTzD+xA
zt)$GF`)VynB5~u>_pj)I;kXE2b{Y2k=q;9jg_Zh(>ngf;ZE#rId5|ii1!9v5<=Y>F
zzpR{HurVKv@NRYq(_<)?5IC%}26u#(uHOw*d~2TCk4fDxe?%Mtqs|`8T=!Wz+<P2)
zLddQNqI|5fVpu0(>UK;=gMiESz^RR4MiJa=`Vk1up_!F!ONgr$1T9kV&1uEgB^Y}u
za|nb}jKrBj7nBJ%z;&m;kBI1~3YS~cUq}lPq(^S1ySw)gO>&WsKKQ0?>LsEsL@oB1
zH|j8R23fZpw^Hu<%HAme7A?2OW)yWS)kCa0`!%)@eKmQBuLXLnNiFGCm-Q^WaxH2-
z&vQiZQRTPm)TiNJJVCb*wr!gkwnLlFaO=s@74yEnM4$Lk(AHAix4u<gj$m>v!tf2b
zb<pU$fS1e{N%xe${Lgy>wz~+Hub#>^6#D`$sP3hlR*qGej^%jOneyy%t0%qs*2X(A
zC9~8uV=33wr@NL2{#;_(r#p4~3eizRJ<x{5+Q_*2@2lme)M`{G%To`*Dp~s5M_(;n
zj6l}MsX@QupU&&T5vd+zd02*FdFXW1<J1eyIopP&O?e?i&r_I$IdqZ*HwOPnF>Bfn
z=l4Kp9#PW!r{qU2ueBddikoyTfL=!V)W<qD%m)y9_#I)|hS+B_>x{GLFer_v(tAI1
z%r!P^9v(}yjQbUjV_Mc`?JV~@LkIr+Q~)Ke+Omf)zLcPcU8&_hlV;6eb|LmI;IyP!
zXW6WVyNl{IrZW724_!7!pk0$cU)b$0k2yW6(w&24x6O<L!|#wdHN(VX^}9Wag+!7D
z1C~ytqwrMpUnL@!kRUD|IO5n4Xs+FgTSbM4m9u_URJYt`5D>)KrN!6qHxowShcKI{
zik0<of^_&0`S#X#-r_k%(^ZJ%*@Tf6rPXD+5ol7v%iqp}w_P6d93nI)t`!)HXGWPV
zp7}bh>}91NIyET`js}M^2e{(eg8m=8xyezJHLQ6nGi*pUn6?ip(o=fnPFE^HcbHNF
z!ms)ri&@L5b>us*w0^!~q^qkJ(2g{W+$ARGH&Lrk0UkH0UGT5Ctk?VqU9@BnxMs#!
zus`e}V1hon9N%(fxM`y8b~gkYWxSNNaDOv7l@u;ir^t^;XR6-1_<`|UB58Ccm}{XV
z;|dQzH*n7mo2^SrXvtf?k#(AJg1p?w8~E*YabI-dcR1^3l7>K6f$|zwbvoKTmqpIf
zXNr;OMPGN}rDbIg<AoPQ1cZ@I7}wIlnakfhyw@`eW=3f4N(Zc?XAy6DBGM(cB5!|U
zquqc95rN6Qi3WQgJKGPr_AR-XN+wm#ALxtcxQYM4*c`ajow|F&UAPssp>Li)Nq*t}
ziQH-mFWY^_v(a%J9-bCYGnGTS&sL97#F(H#Ohck?ilgXTt~MKwf#=aw{;Y=+)L-)A
zwWf0~uN~{;jFgKeXdJ#PjDQ<KY0BS{RSpO&$j9{vl&|gE({J_<2LUgtr|L}GJ2+*N
zp*%KGob44=(9a<m-0bzjD)T?5m?)^lpAqjYvin5MYd}DKj%WL?;ocCAa%Y!C8zlv9
zXMT!fW-V@MPlfr)7pj#tI!jcq*`F5cZ#F1#F?g^GQXcW@zHI)sU9S6Np#dx!Ahehq
z+MvmY7#z;nhBl_ex%0iN33&g3Eg-cz3t1-<a7-72NDti&AjIUEu5RhB4y3vBcxkC!
zSd$`lmK9$>FUx*&#Bk4V^0!nN4o1|e>|x~$R4}%22zV_i9W;egMt3h;Gv%XZgudDt
zv|wQE9dJ?t#=x#oBafS1I?7M0a9#}`BMb~8iYW35h=^&aFnNNYYN2SjFJT_t`ay!|
zEJ|5MQRam-K}>5j_0ZeFNn$NtKzI3TJ7e#dpA{MQM4HuNtAUutAnDq6|EPop?Fq=a
zAqhfA;Ocm43K5bfM8mev3n&wf&^{S$43#wRMSGr01~l+gRbna{)(C1UU?r68-0!Rj
zx<x*J#=Fe;A{4f3*Rx+{Z^n?3Y-$%T9@lc3f@p~{kILm@V{gzFLGJ1x|5T?U=qS5s
z`rg`j1f~4x)VurtJ*UM`XVq&}+Oqzo91kTEIw5;RlSDG56iGDYvK8xRXyKitP+0ua
z2qa6NKqrS-DvL6ElZ8zNUSCE|eA$Yj=R5D#>jguKyOT9DH&dFty=W?DqOa+w0Q2{y
z-#e9f+10WFr^m&}@8Kna&4|JqIBLKGwH(rhv4l>L*sn?ToZH!Kl)7((MweI~fp<T%
zRbrqhnkECcN+qm5w1cc3pCV*8=YG_ihfn|5kV{1Q@RXas+@eWh_-eT1z+2h(k?I@n
z0e+ngSHMe3frLCijxiQ<cVn1D3?cyfmAWCR=kR^_=}B%Ck1+LFqU0d@r^NO_Ld#A=
zgEk?x=DyFiE#&Bdfm(h6QJA`{U86<7Hq=c4`>PHhTjH|55%M6F8Wx2F+u~=Zv74dc
z2mUXc;7?$6E3jyInXoV`j@u1wONaK1Lu{7M<}A1>kQ34lnHLZPkAz(Fp{Jp$NB!o+
z=WZ)<pP#O`x2pS*w_s>;KtQ9rNA^b;0UV>ELS)fCmYav@^F*pv#@-OGq6e2bu{(#0
ziyYo0fm=Jp`Oi{{BOu0=Z&t^`+5aCt;Ivaar_Gsw&24c(u906x_rAx{ti`4O)GKB7
z1xv}jsJ`Kd&>C)#beH*BPIvMIyk3W=L!gwDb3~Ndx4dJ`)3YQT@;n&%n=1mU4|g?d
z8|*Nhv+0-EJuX1V*2JL)mf!8=?e#PV_WXQF&qUyBZ$v2t9saBS@#62Kb6X`txSl->
z^eT)ubzTJi_)2xx@+xDm4jF@a9x37A^&Cvg5N%b@`6`BPHF0xU=9Ojbd*CDqXG!GK
zxno{cl^i6`k4QFQ&mB-Wq}4J;yx%bA2=&g3qs~#QO9li=?s`Mh$us);sSH-Gg$n{-
z?+I$v>X{agyYl<oI&vM3TS)_l2bD0xbA4Yn5fxa(p+^9Kr92RZ_Wr~UJLc;r-o%A$
zC<Xvpx&wq^-3H1iL2Gn6L9zq8(7V_l{B$_|#hOXp>&bhcYJN)2{9e6<nAt@X>kr^n
z<4+5UJ5=GY3q%VGz4x8i`pfT|ZZ2b7SWmz)DeO`*q>8waW0RB9(GA{z*1K;kKk5k;
z<hC7a_JwJbIbLT`UTZ?!m=Kvh+YoSstCP#eCIh*N^pG>{KjEf6KyTA4WszYAHLAX*
z+vV!ebLMF3s4#czke~|<kGj1rU&C9u?im9$hHI>3U-@@`n)hzYReX`gjqdLs4I-i&
z3T>wGuSA-DcN%(^g8BW4Fna-|@!AxM@`1FOWG*`D3u;B_;>{UHPwu6ogp6c<Cum7L
zP<`(~JUod>@?*T1d!_#L#N3!uW4lyH?`e59Cut63G{!$GulHeo&)Qa&UHn(BfpZp^
zDB_7jXc|^YdGa#8RKnsNfx3TS%-c$}y`p7h8Id2apP6`J1yzYjq@X>GY4HBZbB5f)
z+XTJDN~mGiU+}_WR=Sr}iZtS8v?wkGt%r|Qhz_<V6M+Kwv3PS^QLrc321vFOKp3WD
zP}zVjwm44wJX(s%Kaom0a9o;(sza=_+PwA5sked6im8#V@;3$gtMPsSBsvOs*}k<}
zk`aj7^_yk&R}~E>=fPi`ypppc_g*2_H<x|txL+CS`wX?`uDwc`DX9pTmJp6rJoz^u
z@{Lp4lM|{t<-nxO(coZ6a2KEGlg<b3A6)I9D~r4r#)BHvghie!>$Z-{DNm$*!!9R8
z=k?EaG8va?b}nJeEjEmp7L&Suv~fo|7{gyu9O-FPzn*9&eIZCRIYw9Z#!idFD4u;2
zldX2icW>vsYT;x#j=|1705S)-X`#4T-<fYIHR6xcc`T7MIhT$L1fm<dt@nK{Eo(KC
z24XMtxLD6~fn}gIe8)bON@OAOj_ah?T|BkE%tdsc+kKJuKX`8FGmCy?Jq_o*E>Jpx
z{)#^B71XLT>NjzKu+OG=Nk&|k)r_owdsj$7^~|N#g09ek#Z9W+kEXFZq8eVlr(^}X
z5JVgDLtl!hIK_#lh}GFoIfV%^@On6~yV<<956tiSaGug*MY`fXhNAvG5%Y~56v~rD
zeZQ&t$uz;2V@eqMc)PUR9%O@aBR|jF5IFzZ?uJGU?0YE&K)Cwh*D!QT1d7*`k&sLz
z?~c)|?H|c7tG$;lzbYRc*qN%D`S0xZX?Df<mLOOY&+m3m82H_p<UpOw>%adasb6u}
zQLT8GA)?0hbjS};J`zT&TDm(jmaLk<bHAhTU##|rk80M4*3sY)I_@1|+0dW&++x=s
zj|(4-Pw>8b)SVuD{y3bYcl>R=b(qpc1x`}0u>;W=8JA6auU^(ojS9M%vwr77$7b?F
zbtft!F~OQ?D>?KeVZ`6R0`ht#h4|c>G!&_KH=WW{OTOo(Gs58Lg@vgbB&-%(#r3uG
zOozli>I3>uCEtOd!DRm|_o?$nsPhJD>OeG~`SYr!d}VbOr7Muwx<^T^+??{0{etj%
z#V6avtApT+kV4xShr(gQ>RQJB&#%B(BPPQ>Fwv(*^-YR;@48y3uAxCEg)QzwuB?H{
zc@zXlfUc`YjoZ2;(w<@I)!zs^C&@)*y`V7Ape+nF^>v%EOytwX?tmi?!wp5!%Q#OY
znHy~F1%VXPDKh#cV%vU(eg7`%L^LZM@QKL@w@0|wR?!T#g|Ds!5u9jvI?$U)?JETY
z0ZV|QPP3T@3S;>0bWR8ovfr_4zC2!am1`Na0cbN#s*RcQjzc?(&vhiAcP>(4Ev{`~
zz}ZWZpg!&HT+`%)8l-wotM$n|!s?Nul2Sm=^Or8Xf#O?}0zp?U|B{YGgtxUPE*c3K
zf~X9hFF97uTtW&K4m(#RIuXF2NR5W!j!+BhEXb6Ep`MeJ9AJ{5+aHqF3%PgQM>7*7
zB3%D*3Tn48u;$SZBz|y|Cw5DLt%X>bOk}E(O!rs{G5FE~j9>!+RK~DAjqQFMFs#Q-
zu5|27T>w$S<2P_hEI1)ksE_GTKb?goStEUR)TH=%+{N7`2!80Q_ehYk-j(mxlQc~m
zU{RfPZw+_wLpYdarD^=!G^IiwjL=`WZ;h1_RaRZ~1(7}5H@dI`*0K0Re_7oWwzh=3
zfSJ%#0EYE?0jQHFHBJ)=sqe?P+u{Sj%0e6tg1l{XAS>+a>w>G#+D5@e8BP1(!2EpF
z__z`t!lnYG`$|Wxmlv^Kl(ipjWhqew<0?20U%2Gy*<43*^}uU3R=fe@X66~VZ4Z32
zalkNoqecm<VY%N$Qcl&7gol^mmT%*$hPN>h&`-3GS+v-{*V<q7MZ^n2QIsHsXJS;^
z2?Kmi<kGe!H$yCoTzqTe)pl8Mp9wcI&e?4+2q6FvQIR$>sEJ8gj0*1%y(I4`1ktg*
z4S8_?dj0FaWLk{=O6Y^M0@02l7iSlzXt*cSigxhX%A_Y;fLEN*S-ocQaaj!K#Yg7)
zQE%_KJi36lAg}V+U14OoYvn?OC->sFhT%scR(7w3sFC;Y3f0rmqD>jOtiVGcck@=B
zi9|ii$5zXm@?lORdZnB)c>aN%Ow8ZszlX%~m9L{tFJD+)O_1PbMR8-glaFH&YJC(-
z{$(pdc8A$#%nkR`lwwMKes)ubl77lfBjE%xh&pUCgkgrJxUwzJPy0Cm<<aKWES4`M
zi{7d@WoLCD2iST9!^Q1$%OW_de^HjpHS5*JtP1>c|G^zyRI~d=c<gz;)K0C+>DGv|
z6ChN8ca33h^;qwWNa*XwyJK_X+eGql8!f91aBa8vmIG|I)^=g9N2Pb>zBbb@^mWGH
z?K+p^P1NK8sO?<12ktxsKNZ6n018SuG%%*XU&TS{#Qsjm0QfW$gQ9h)5W~@*kM<KW
z#qbpqH<v#f90~3(=fachk_kM*7UT+>{8T<9_uC4~IF$ZVy8)KOktt|5c&>a4*aupu
zL>zJW2C&fH6V|e1v^2luJ0L}h)46g<-@m@;^Y4#{UxMs?rOYun8dN3xQkjE3Va*`K
ze8hFur@2cGm}u8c>Qla#$F6>Cn-Lrnq23Qu5LMC>Q^a~@<+<>im`8o#-bfGqcBuPz
z3K<uV^?1|Cvy~F^>l4O-ZBdY<j=?{p&QCe)VPi}=HJw4tn@1^+sTkK#+hSjw=+GvS
z2z&98T-Z@50WZS-Jpg7NZz-Roa3*sI>!`_rBM`DwP*I|#+U$fHWghE*cn$uxA*QuA
z25<L&Q>H1sLnnF{J;;A?8!3>h93VRR9?J`|eB@hZ#*ct6!i0>Wy80_KVfpI6h({&&
z9`0BxjUKJoWly%##?Dx@@Gi7)w2{ZM0`p3kzS!h~Af4Dy%MKuQ-nMi0AgY)tv9^~}
zZQ(JjjK9`p${I#-Cp2yvQ4Q$h=+FS7$t{Z>=!8l<Tu}sYMGU8{QWOu!s96m3V~+Ja
zGR4ZvP&Fl!+wX?G|4vJY=FEc_zM1?x+f0Gt7B%G|yI8TFzAX6BSO0qb*5ZgZp6Q-Z
z*>2~POvJOgGxf4OjEQHVQU5DOx<JO#(vweocQ5+y{42_vFsg*J-2=dhJd~pHDOcBW
zZs(y_w8V&w=01{$yxr6Rjh5*X8k;#U&TU+E4+qKQ(KppoHygabZ`6fsjBh=upZwS^
zPI=h>&eOZ&;$&c|EZQOc{N9)A4>SH1U0W}got`qV_l?U{9sqC1sb*h9*l+DbUxH4s
z7u$^$sM?xl>^U!`K~wzFXRjw|3_9i${Wf7!#v-qKG1I|kLJ&E*HC2rlTw`pYDHFt!
zA}kmua>u?8GZ2lyYbHWYOb@E5`#(2571~zT(O)s6W&tB949wg!%aEo@znCtGPW&*Y
zk-80kIBe8&{vhEzf?A1lQ`Z%~v+vFmwYm5*jr+&2o8qe1GQm10#<6QxeVQWn)D!DF
z2aghN<<S`IWqh+<HleNp3O<)&zWL=Astg>yewnq>NWSmo8TI#xk#%6txL5!`)9jy!
zO%_l;nm*x)H`xcf0=^d^WW^yP9B*(%x^!#b4U)w%j|jg_)hKGu0r^9Qdw1wTw^Rld
zUSECs0pa;fPl8NG@JEriv~4V=zfx5aQ2!G_-VWfXrxqR?+|dZ2QyE4&p1F6ldyD+*
z!F9`6(%CJovvd`i_K&}nv1qS56Nt~BG434>%CyrWh^ljN^~iU|#vbH-(@XE8g22;<
zO2cMN1HK4uXzM8EGQp)6J+TD+fvLa;S9sJKAf;9t?Yd{9gqS|zYMPq<5SE*m5W>K4
zmAL%#SDTKIAB66j8-TG^Q=K<Tt&d9CPr}4l!@Z4i=6e}s4x)@}J~k;SfmO~cjKaXG
zg9{Z~EH{o?i4e|}Ldr*MV!MOdQ&2$}_MwpvQzxjR32V-RnMJ|jy9m_vntny21@u_+
zkhjtL5nm*IWSQTZofYgR60}D!PLDltF!-?I_PM#@2ClxV#zj%m_tYT2%f?~!8FypN
zfHm7>#lUOl*X)})&y7?-+RcM59Iw;kh4qBS;c28KxI0A<YWd{49Jfig<l_%}SRj}1
z$FWz(e<-;|Zd<T|FtAMUzVMeQ3L!7@Pt@r6*12Chf200N`nROa!Q1Z1m*P7B*`K!R
z?~Y$uQU>EO$#?cLyg)ktZEpk`3*G{YHbBx(2<>3_ZTbjwXnjx6=Et$F66}|DWeLVz
zYL$Op3Vs+_Y@R#jkq5o7d(|~6J19|*7tMGXa_@tl+p58ZCghAgH6{*wYe33YjNXHt
z4X&Y79!V3ZgUnm8_{mpXtDBJxO?>+n9O8FA8-7#A>g5(p*i>AVV_>9BGO8;Q@4fou
z$Op0;BDnxc5&zVV;uCx~!vZRizM#*L>b;q$6A*LIPp1|7^QAoT&5OsLvT;h9<_IG9
z(5pLmDeecZt>LyNUa7W*dPf7D7fI}oVZN8DYJ_a6sw@qvH|?nT%Phy=CMAxWPEP{B
z7QD~H<Q6WW5MWivY46G7qV%IPpTk7<5Cce42Z*Z(Q>e8ISR5jmre)rcmUku&K#NzZ
zw(#ULJ$rI(D0U-2yD<$57LiKi)WbF$rpiT>JyYTeWI~V!{wV28w8<Hz4!;DuxnFa^
z=5V$K$s6axohz5b`(=ImS(wX8xxe2MK*k&@gr)Q&v^5m^5<@EaqsSmax1mgJqOV>Z
zw({ajIY~V3fJd_c#gtU%F%vPMbzQ1lUm>?@F>-Y@u(hnsd!@@E?%C+Eh+1n64w?9I
zvSj=xo5783%Z!WlpPvn=lPAS#<EvJz`0+!_YdPbcArvMV{tY4bnipSpEtzDv9FEwO
zVZ7$r+%J!N(p%-tVJeSx_AWH~^!ml=<WHIxlb`soK?I4S!RE}b1?A&8IsH7H?@hja
zRDIPxm(9LmDyEdyB?|-K{W5j5%fz)=Oc@>|JiL0QW3`H_NAz;=bX*qw^UvPebUNQX
z$n4I2beLaj+8<Hn%|6Y&#eoUA{i0kCCCw?Q8L%@L_Hnb#u4noieqm2beAW(KT~|QY
zf5#2a8$)s9aV7;JAE{b7Q@45?%;Ck!aeNZWzs@e+^N7HwXZ!b$-n^SMwSpwe+o|Wg
z@RsKS$vx-zpmx_vq`a=mue{jZbL%*7xhGs>5l^nAoccQB^<?`;pq;r6&||TD<OhF_
zfZI-G1F=56ZFdj0-{(PSv+_h*H1?f8>{$H-`|gkpIGE{R0e19q0SjFY+gjyYx{>t{
zE1OJ5ni}u}Jx5x~w%kxd09K;;6)j%E-K#=9TPyBmFNf3AE_b9?dk{C38{ywlc#|Nx
zjjkdBe>wULz`OXy@egDycC4#M*v8v+C+}Z8y|>BvFWns|ikRHhqmlo552+V=Qnq|k
zuYOVYM+5FaqJIhFq5qN#MWqidNDn_N2hXiob^s*KsheY$JTtN7NQKnmHIt$EU4Ddh
z7FdvoHj-0idsF-SFShvitaa)#!Y_Zo#(Tn?J|anTuLst?v^Rg~;3jcLxi0;9iPmTX
zPOg->M5X$kl=n#RwZ}1I*CE)#x-#nMOZE+nw$5-lwer5OEH^tX8R>6^OkPJX<bc&U
zrI!tJ$URW$9e=cMrX?N8`^oP;#4l<%B{Y~UDg}f_*UE-z7!e^`<Xl*8U`NO)rBt_<
zn)CJTof}pE=G&V!=42!Z%%OOhC;{@m;3UTI>hxb8-1^!(K%3iL+b2h1-7y+{+7ix5
zm0$6_AZmLf*7s+oQc~Jr(R}^M>QNB+i1StiD#Ld+b=pXVv7YVoPlajuvSKnVLOzaQ
zKucnx{?IZRG_&S_KAy_MkRl22T>9+@KmO*g>%)Nljwok_w;u<~Q1gxPoF0D~cn(Yf
zBOz9yS}V*;*6ClTgnj?n#yo;{gzu%_aovAazf|M;dc)xRFPrE_VOmQvdSqfYNLUrp
z%Xj_7s{?WtmsB22EtqD#;a&0Is7e;@e2*V-{%&!$EL=yQ&?^f678L#6de7T9SFz}E
z=qq3gUVewMh&0qvybxEIFeKq)Rv3lj^x)^1;hjz?cpt@Nst&ldd3U>LhE+&<cHh2{
zGK6`Nj=EBK7eqZ2(HNZ{D@F@#ctm5qZ(tNSQnum;SpTM8ujLV=3n9k-@k2YWw3TW&
zHJCntKq_?xz<~dxaZ^wdu!5XHNhp*ubSu&oqCLfC6V<em^197m2sUzFxAX}zD@^9%
z58B0H@bN+Lw%lUB!e#u)Glte!Iyj1~{IqtvM>2Nj4QzG?T`hs^-mx3lw-bwl%#na@
zVk?hj(WwOn`__GSFmz-0zRs<QcYvxye@~<&T66Oqqqdp<kiww>FY2`(lR`P?*S_Ga
z3l8evt4h-VRW-AN;A|6pR9RkZTH8oM_UcxK+qN3UyHfd&%2Bq?g{P^JQYxn|2Qzyk
zb*L8gmn9zQFZgaBu7ZCIEyDhFiME$}&qFk6Ajr9f_phoz_Px|mZUXyBr}nIa&rlFl
z$CCR}upeWW9DZgUsuiZu2Tf5pFR^=l%P@?q-J)FIMr`3a!rt#4jREwaf-*R%?a9GH
zQiU`3hQ#$78M1J_Mn8J#E^AXMrjy7UaN-hWQcwZ9LiA?<M1mF9M1!t}aGSYme}#xF
z26(NQ0$HHV`(w1UK<VVPeVHB&@ODZ0H70Wdou4nTPsib$@OF{v$lJVhu9Cve54`xY
zVIQN5<LQTEa{e6H^@I{-SB1p!b#>urXT^h#(&mWX$3MSH$N5Wu#2Q^P5c3&w37U7_
zYN9+6@!d(W-Y=3!v1Lhvc`h2m5V_2a^$yMW!nSeZsQ6PP`GFn0tDUAi_c?L1+TCvK
z>yNAf$*(P;5)lX-Ipz|u2sto8V@UoFhgOP#(fiz_fUAL>EE6kdd?#9D&qpJ}fMUk0
z-uk0A3&570ivEa=kc|(}t)Xn)4Q|2Sb)5+#BxSBQuP%zIdB>y!Is7ChN76YrFrD|>
z-r77?lGmI)cz{0wmw$Qj_}xFtUlY$AgX2BnyTEF;gb_=%2%BacSaN&K-nSwLNH=7P
zq!smrR<o``I`3G(#%}@ZK*&8DFxX2un{)PrY~cm*B5dU7LwC=*l?-nOZWasbtvK>(
zE-HqF8XxAr&$Cfer3iD5{58YcUlCdU6IEjUzOC<bO~18wfTnLFW)E3BVWX6i8+lO@
zz3b{^v{XM&$BuL~!Es6>N|NrEd?7Jx4k7>(tmzN^Jv_yiMn{mxQ3LFl)4|_eOxIF^
zj}pGA0jgXLn54<?7)6=DqVm28*T=jyaDA?w*=B1%*DBB5BOtUrH1goognnV%$rlcf
zjuR{=UG-GntF8Yl6Y-xMd)^E5EJ>^So$zx3db?3`QqaucVCNp&6M!s}Me75h<kCaQ
zB+;<MRa6Wnwc>4nkVO>%!8~{LrTEpAu|PiW+6k(EFU!|zA>H%1=g?s@hW`B}HVtEX
z*&i0sA!5rEFLhIX6JQNM11i*}MZ``;(tr4~?$wdf0YouaQ|e(x$CnNv;6F?g8fLux
zuj!(abvlp~IX(g)e0#6zcQ%k6-|JkfmkY?8;2!j^3}MkPPQcZ9HB9k>yKmF0YW?)^
z#=#3G)L(XguvZ?l^zMwTl?B3dEByM>tlCViE=+fbZz_Q+n_OO5BnG`o#5ePGTSeD@
zqT<O>gq)t*bnRf1F({!nI-)M!B;+mn=1ms&Rq2ZBRUKg@h<)RFe*H}gxuS4)7&Azh
zaHq9fYv>|4T=7q*Fyd|?6$;qAoP<@wl+tpe=~akE`u56a(rbT73Vd|8VEbc<0LJ*c
zzHrgOPj&N2y!xyFS`SETM%2GaoHIsJO&88=XDmTxP%Gxy^ulK&{H6=x(@|Z_+v?{>
zUwd3#z18=?&;ezc>CxC*PVxMerX9GNZ6OhH{p(Nj;sC)(y@E<wRm3)|U}6yPHCUZ3
z6tK(9oJw??IeCoEXgp9d1&GeZTTiPKm;F~6CWf~^b(hu#L5U9nzd$ZylLZi?coP}^
zq!`!Rr6!rS)#AyN=IReG<5LDE-pULBFg^1q*<K5QglcxW+kuc0koK1hL;HDC{Igj-
z>5ls~1HpYa&>Z>HIVu}-%r7;H2efhkT~y8ouUN6RF}a8C5|Qj;FaThz%_XDD-@Ir{
z^XB{842Ef$`=(Ip*4KFu%fSxs(&C_e%H8V4$Ds+2@0%cBndp80WtQ!*dEs<X7$yJA
zJnwX_gNF;ORE@dpCBZ590jc-Ge4AEj21iizk8b-H-RRR?EP17GxAp1IrMpP#&rqc5
zgZ+^QwZu-@MvP`q%E8v&&EGS_QJwoc?m-(P>i#^6ySll%LxNhzln}(T1idn)dFeK|
zGEXCVaeYOnEVtmcB~kZI-izD$*!3PP&o4OA15F0;;C1S8J(R>hnM*!0-^v3+%3Dr7
z8W%j34<}wXO9~R=#cQ<s614zQt?(b4moCP9q04qMhgYKgaQobWbHPL*8ro#Y@IG7f
zhQHjZY%%kV%YKuAv$C1MUi`lV%?qMt5Qu_54Yzx&%f@N*1@r;!dW@1yfIPXa2I=`G
zaNE0ykOaNvzT*k=dM~{jp7bTH)-R<ctwdaU&}{Pc?Ny|5vZlvDOaOS;Z`YaPpX%b%
z)<3UH2gZAE#}DqgL`f(r<_h&XyX-xt?^hof{?14$)@Td+z#cC<K5%$^#;{k-N{!uo
z*qYYyopF);-n0w#5&H$>UT6eQ8}ZQuo@%_Q;eG@YdaIOjU$}dRHc*G@A?<FY>*6}<
z@I_o4-zdQ8CSs)9h~IpPcQa@ZJ07I`0ktA=1!lZ^`gghh#95|~4Rv)QvB`mB_YpeO
zUm`lvLe6>=iKmnjEmod#4~)7oXvJu-DsfPH<=^kduC;K9WL7`~>a49Gu5_tpdGwK<
zH^;Ucsk!E~Vsnc9I2+HiH7`tlQKp<H^vq+K+;c*=sKXPjEfrKB<`>+iT^a|QD<>Bd
zoF%R^ToeEyMw{!eos|iOKgaTDFun3R{r1w%RT1!SOozbr8OitA3Vxo7|C302)wy|N
zNE9i-gPar_Nz*1<*IzR)d)7N4hdj}j`TSc@_;+uL#BA%481Bs<qvUV8h6+)AEe+Ti
zpeqq@gmfcqYTvg`_AXCqv_OoXIBR9JK7H+$769%^r<m{HCjRG*1xvkAq;A}#@tkR-
z#IoYDn60c=n{b+@$BL3^no>%B?2c=$SgHDcb**g<Ydqy{jnn$TUSS=GUwISwm`Szr
z5u-UXCUZZS&KnqyM=+HM+X_>Ce)F8Cd@HHM=jPd;q4BL(VOj&2uS_z8HGvsdq~$tK
zNNKfe>V961{*kqY9xEP>$n3sRb$)P`nBQhR6p$3|Fv4lO3j%mMJxj+n<nI~Py`uEc
zh{@Nrh3t4&$f+XD@1dagovX%!fp`b0anX-o{Owoa`e)fNK=Z-RK5g&C@kVai((2HK
zu2bO-=$WgNViml&gVb?7E3fE*MvJ6|WYXJ+GR^{_xo_^UZvC{nhJF*F8h8T``>m{X
zcU1jWkAQ1(asB{4YOv%tjBA7VX#&3c`mOpjPR5Ct2wR4)Su5X)^5bX3pM*%<UqXeg
zZcp1J9FG=FPS#P^LK*{sFs>xeH($hYSU_Yju!B`OoMvY#>k~<wym_i8^IPdiUs6gt
zpy63#7Dea0CK0!|eWlX$`geok)Dl4>{BgL?b9DF4bY4k@3m#rrp(Gplu1(@B5nVcs
zx>(6oQ`QLp>z5hCl}4JZOXu6YFl?p|q2~1+?=WQf7o%p#V0|j537E-ZoS#0M9uEe-
zmtI5vDvL+zMSI7{L`$3v*_W?-n?;3n*p7m8KrNRZjrutoI`bRYn*yDo$B~WWc`v`$
zQDo>R8t_s2;EU9ck1tyd`OKF2<#Y9nNd2fQt1)8RFjw1NdHPzg4B~|h1!z$c`)9m@
zH6&FK;A4Wm#VytFGO&w!t&_kCS1jZM%<uFx(|(ly)RA(#Vosu8=92g&m?XOHOP#=<
z<l^T&qrqN9ak=q#d5eSXr_%-C3U?ro*74Okyl0ayDNpSU86)kS!Q+rQc{Lv|@r(yR
zbMp%g2KXAK6?|reRc44dt))cPb0&@y1oWsUAt=`^alzJbvIl|QspLqu2_KF91{L`f
z={-68W!7f_rI!F{>oki%0HQb`88v<N5^yomHRh8;hmUkcA=JQv_JFcr6_#I8dv~)w
z&=qKFG#jmLaz<{_3x&E=afOn)zgq%!Di67$k4k9`jy}yhOT}c+pCuOV(-R`O%H2U?
zV~m>A_q@u)V{@sN)k8K&L!F23PU|h0Q4Kg-K>wv;1X08-q?*5tBO5v7Mqt)i>d!tp
zC6-41@iNmHE_r@hwQ9gk;H#-DprO=AmrM%p@jS)QrnYabrv%1n%_U7q!>Y^A9YLw<
z3hktB@kcMJ*rbX)TSCbckyAg+zIXnS9RS3w5hS_As`s|CJ#q?YfGDM#QqXLrPX<Q_
z1KK#0N|e^x&m^@SQPRc(0IJxVzTl8M9u6j`lD`{BgRT)$-ZP)yUX$IcEQ-57vL-gM
z5hjtWpC_oL%vbvo2g<M(M{z09&gZ614YUnqrq?6p0dhLHXvf`l7tkC;%=nMk@R4du
zxr49Ldw~}iuCuFn&gToy_pI@uDdE;=u%<yD${ILD7oF}&O5a2}0ju%j8)L)}+X4ur
zsv73YQl4*K$AX(EO1>74gM{1QYFTk*$Aawn8z{uWHu?1Y-I4&<5+!t<!odBvQ_Zn~
zne?z^%}xdFizM%|*kn&n9;lE-xR99gC#1fho%_|V)f#+)d0s#xT$%wfzhmiIW&4Ex
zM&Uv+b@!5)`a}BC=cciQhn;80@7LwsCy!J4TkeFgT&Vpk?^CjtXsr6Z_@;d9>Qjcz
zcgkg&t)sG2pETaE1OIU^g9ZTTi>0oOr5E)qM|SZ1*dl3i+&gqwo`;eXySIWh2@+W^
z7*7;`LIz!!wi30)l~ych<E5Jo6=syiQbl@Y*QxV)--iB-EL*x|OY0L<rhwxWO{orm
zq_h4do7PQ-_!V(c@{K>4k~tPE<(+DH_db?-=m;r;<v1DUQ}rFI?jk<i%2dqcxeWuz
za6=z0O{6|q@Pl6?cybmuxElv*+@3tNdbHUIgP#YqpcDh?rL_2J>LM_<&fru}=*!%{
zc*h4dptSny$!E7HY6je2F*6q$(1tuuGhpHPE7{&we9vy;GlR<bnrWZNU5*c(9D!qe
zrq^S;%2VXk2+5uqk(FPRg^7KEm*=Bu=%OI{ypZB3YB8Lh!U}M#4JjwZk^M)0rT@4O
z4o`!Kh7M4A#=Vi~+ZXvZVJ@{TQ`Al{-l~xBn>e5j*8MsCwmxy`V0Bxf?83lK+Cq&2
z>2Clfas5nW7fQa6S}6`m_Oj>fD|j}jLQP-H&5A3i*K?e4AUNOhjUJCZDW?Fwl9-|N
zzc#a16Eb%H(FH5tVOX`42CiiQzC_7Dq-|1)rz#_pQ-*nP_yf=t)$HHLKS^FsGThZ>
z8=wHr#dcZdiBL~2(LZuuMS2>8Y6?Sw^>K^57c4iLX!VcC0=ED$e`I4i@a(Njg+=NS
zviO#UMUYj?n<o+z0%yu?&Q5Y@AUm^_0&TiFyZ5QDc!gQyB~lX5p;jI4wRSqU2q`@h
z?Iue&(VE5jF*eM-;(S;8$hArcBN_+C;K!EUy9A6AG9EBAx~w2oL~U;bgc&A~BwHMw
zhW@@P){1Qi8gb3Nmefh4IN(<2C-!c-2z2bPZZPbBA70;KTO>3m3v322{Pt$fYBaYW
zuI>vS7j0aAz6IiNz&a$Shq>g8?!qm5Tlr%%nl=UNsWaOy@BXx&E*@D4WyO(c;LLy+
zOX7W?RysSy3F5pH;!BK4r`Mb$I;;{arr2%G%1@6wD*-x1YWXviZ_NKNRj6R7X37_c
zzvFN0``ikVPm3Qwo1PlF6B1=@GsysJo3QZBOg+_@;y^>8$o;9>VKBI}Pf2M78TjPt
z@xSa$Pk9rw$1`kTOoFee9U~>|br@FG+P}%0JJ;M_$gR?L>jAkvC*6?4)N$mYe~gek
z`N5_8Lqybowx_p)bk$<K%AFf6Ky*rYF=BIlykc;7v>?Pvty1~&fOc-PIRy}BF|Zp~
zK~8n*w;H}I;*4t9=%+Wc<t7E_z)`F3<ERVRlyutQ=~0j&K7`Sv$CNOS>1j<_3?f)r
zuj%(_>+uZ8{7&2#43(TrQ@|2))p~l6gj=(zS#}z$PLiSl^F+@Tv&gQh(pj`-)W<mQ
zUzM2Y`RIqM&Px`M;*jxcHUm#D=IURH{5sZo&QQhv1+&fN=S8h!m2;yHZdLl)A=9hf
zK5Lc_Bc&lK|B-TO27T-c2{RPAHu)931%D`H@#P_bnH;r8<9WK*N(~99zUJ)IwFu&K
zP<dgVo%)_!U5HNrQTPaF7KIQ6fDvH5`hXVSLx=+V+%gRE3_NLXB*AJwSF~DlJENGU
zH<6uwLiXH0@XXiBD4=0SrT*`A#Te>Ekt2QWSO4dqWquFdIf?2Us^#~72BVj>_8<dk
z=MgK`c4=!!15;>KkzAP5moz08gr?wqmx$5(C&G$j5{z{0<_H(1n<+OyKpw_F#dmwA
zl@xS_x}U!L(5lU@LPca9+wjvg6+pQF!RFEU$xC10wE5@wjVB+_$bwY>L{5*6fcHz$
zwkp;w=@On>tUnuEK-nLCNNA-nDB6-TnzU&b+Lf4G*R^tjVysN-bu9K@yH<(q98cMd
zbp&jGZ0p1Jm2ivRj}mD+7ob5G?yPO*-fM}K2wQ9KvQ}QTXs=IM8=hYR_7RgW?R^bM
zBxL$T{)Zo)M1l`&ZK*|Q(3pBz1!};d3{<)zqH20Yz!|bV$xHV-DCX(85wz#J-iTyn
zr}dcuL<<=$U+BWgOBYrGbxSOHqiO6Erza>1S01~L{I9}?Z;G~g#8ii|iLGzjuF8ka
zd$KnX$y;yWqSj~z4Y?}$%07?PF<hUm?MXzWlkU4U)Xl>r011EiPXyzEAiGgQojKxo
zlWgBhu*aHo`pmc1pmN1;fY-9w4hH?CAEV0sN?kP}llvkU>ryvlL;Pv#w!y>@!s`nz
zjs%yqYDye|AtlpWZ#*}y-*GVAy{CBBr#$|lPzqf#ID(JjBvE_pT5GHe?KFw@>FIgl
zMfUG8^RfDFd%nY9Kx0X{hL?WFsI1aNJi~D8g@N}<-G+pd@G$6bWZ};Z{n5rpu0tIu
zE+#q3j_FIzm7Qg}2XuUou(JCWOFa2hr1nq2YX&@&N8ABSJ@Q95%=LTu<OfJS*)SzC
z=R{#-kk0x^^6;st5M8}INFQ?}A?TO3{(h@y#1(KC1z31kSu${VJG}%br7U1aloe#3
z5G&1XGeBW#>M4#mJ1oYJg3a09AFV@M!)NU2C(<d7V#LQHg>?5S|B@`KRNZ##I!mXD
zeC^P}X9~ZLFXBFLO!T+bPi}_;*H9|MB^TRYKPHrd07O}qo?Gz*SQ&8LI0s9)DM-zV
z=-5RPiLv7~oNdjh2xk>l*G8&qmmh!7o0eWgB#A4^D5x(g4btGRgS+>Pe(Jlx#$qnD
zYU`|vLkDJ#5W2+sSE559QIKmObIuNO|Fe<7H?H|7GOo3GClL+bWBC9zGL~F$)XVId
zMy=x160y%Ofa{*BM2GU3)(|k^>mfbX9q?Tw8OK}Z^_^bmx@C*)u)Q{m*U>-8r8#xJ
z+siR~Fd|BMxvKE!p9{KV6U$WpY=Zeq62;6?DK23VVMDF{%EYcB`JUxnk@b^B3YI5N
zRyUJFD-d|yqCEpdl`D-`Gb+=MugL}mDt!Q~DV;t<b*ftd5Fz+jEuSv`stiol+%DZC
z>lzJSR~Mx*WWO$bfAqq{xVV&6D%!_H5CLa}N%?g@f~{nlntu<QOTFuE9@m8xWr+5?
zZQ3kQ`8c%tz|3?flyY^O?Pf7P;TT&*n97;mU0kA21J1<x%UfWoyO}%x?y~;f`G9@u
z!}$7fynW|TCBoG!r&BQ`$TIjs-Tw)I^IPGVReq-l;M**U*hf$`sbLJEDwDL-?Rm-%
ztVccUght_aM9k_kaV=I~sRMS<wc<WbW^p_E^e8$I_)5#TYW-3bF;ifN1}98f=egCn
zr@JRl2EwAN>V$!VwAcKC$M{>9l(kpSE8nJ@j&T2ST2PS&RQ^w@fYl7fWNzcPvGUnt
zgqx&4b@p2)D_ylBa{FcoGhsOX^Z6d{TZjo+I3Vr?Dr!Z;v+}bC9=Du6j_Y&pfL$C9
zLm}JkRR8`+x2BHu{}jsGmOvK9e}?R3r<~M<nEzgM{446n!j3sud^KadaK6Xrq4kh1
zUk$=U5!n~iZ8Z^;mV2H2Ia+*Gi>EP}2Q2yH{StlOJS>|*L_Qvcc}nm`(HbwEa(RQ*
z0jkm{%D?<Xro&}ScEay$t|FOc!DL>S2Z6CvZgy@>zX#H5a-R0p1dyNd=U0b&$j6~E
z2rod55`pe`*!xb(v<xD6$1Yy!jhXM0mK`uWJ-YEd+CE%e_9K<bOE*Y{z(Vjooq3Hh
z4T(K~f5lW@jPd?~6U2P03g6JNw1`)nv~^4>n@RtxwaL3rNZXr~isCFFwt^bBSwAwa
z@`V3jm{L!MZ_c(Qxx_~NFS_0`EXwwY1634I5Ky`i5RgXc79^yVZj@L+x_3zx0qF*b
zrMtU!32CG|cj=CWrTaYZiR*gb|2c=xeBl{p?wMcAP#~#&wmoyN=?%#HVfit@wE?1q
znbe<<f580%=vu8RQ2poQpq!dDhF2}{rH{hUHiJ*EuQVp*H}~~do-T4?yU{#^oz@1N
z3j0&0Rg6JeDi(H8oYv|wWJ?6=vW=b;!rbCni4#<m`DUveWlEcYVI9Fz&;G01L7%pb
z;f>@`Q6&l%I@iWz*G3`NU8=-5UHMyagnvIt!}HJ74f*~!HNUPMb{JDKJRTyhRNh<4
z;~9^?X<;BY47=Z32q_yHKINg}2V9^(rPgB^bC8Y!)a3HQ)&eZdqR@O!2uanTthdsO
z^SLkt_uQeclk6aGzgeaQ%e?-RG774Dn})5OOUBfb#3pt06%+UHS*AdfhvAHL(zA+0
zk{W-x1zTfby_XI-|DdCj>S?MmW#3|u?0KTPy{XT>t)03e=xi@r6yuy}lVb^92LPy+
z7}btB`?uUvS3v^F&E2)NJjVF0$iR8sbOB!Yu*4VeHW!G|GpR=0>5{ttkoF^v>f&Uq
zP1t?Jf$z^j;Gkb#J>)p;+ywv~$7h~-%wE4jscM#A)>;5U9pg0!=fhntPh*=A)1+@F
z_OYj*0-GKrC$Wd{PROp=E;laPrhMx$r5RElvbRHWRX5cPQzYc?nL|FegV0HUjx+N~
zQ`MH0iglSbVC!AjZdF4Xt$GTs=-q}hT+6DgNIv;@Q~%st&~ZEg^m^59tEFr6)g{@z
zkUrz;wv4a{MC$$Q$VnUFK7y%OO44Pbdd>qIWBRTsa)C*nB`vfqL+fJ`yTp|WWekry
zNY)5A$08u@@n-K!zioA*K9{A7DLK5DWb><qx9Wt1?aQD+*SM+s7AmuIeePdGs&A=~
zM$vE=)RObpS(VUadCLTGlE|;sHC^U(7TfgSOl;s)$s^}IjAtKKbi=-x>i%l5iWq1n
zJ{^UuuL6B1`Y!<Pjq6IBNZHwV-`K2>Yzl^BGc@gI=Pj0{1%W`a^o=*F(IyTpX5^uw
zhE@9WzZ(k*e=NjlGsD055YqK4@xlQ*+8?$_MDS<o3;QA+Uk<xpWIbQ;W1S{cRR)*X
zW8eU*YnsP#G_q6yNq~j6--CFt55Qvk;0oj$D$ac{gD*%4;IX!RdQuN-s;*%W0oNaX
zhJ49uT0*w*8nm_Noy44$N*S0eJbC}pqdLZ;{VzuQyQsi`M-d6j_$_7sfKnh?Ct4PZ
zLEioMG;4_X=E1VN0%l}tg}dT^80VKJ*e-9%?W)pGIRSS?vf;+p&(v$RWd;?}1C7A<
z_#sMW&X9G`MS`+@jBfO}K8TKIQeo5me#KaY!3z)7eVS6x+(^WvxLOa;^n4dj{kUM^
z?@PU#f6JK_tW7FBD}QDlIb1d+R4pof#6fPX(~dY0GzG76c;zKP%>~6PBy;@@l_Dnp
zR@bV}a=I-IKJo5q7P%l%;0S#od0jXlJ=5c>4{U1}bVa;GWl3s<;3tNT{r%Z$e8YGI
zBKiV;Y1UtBD4Oxp88kI)=$wu7Hwj^6H&h0Q?d{4A{w5Sx{CL~i?idcatX;4V6*WG+
z`P5swcCZ$6t2aFwmq%EUu<^dgyF*v3O^LRw!|twT8KLiRy!q_^ro(1{sVc^U47i;(
zdVFwT4rC1I=}ByVjE&-J%QB81z8h%ivRk$V5$oJ-BbWt-bBoWt;+_59Lw%P0v!!q1
zR{6UfSSW(J!<v<okSxYz!q=8le^sZ_X~77k&6MjqC)n<_xpsvC*1w;aOT}->dIL1x
zn-ZT`HeDFVTZ?0<i-l#m+ya$8ekD5|0>s*UYq+LAd_Q3+49^HP)>h)0wgU9Zaic9}
z`y83g2kDvM<$$04RVjPt|0wTQ^q*Yo%NsbmnmT^~Tu|AmLh_8h0=Bv~YoHeny*Dw8
z=9i&>|42`EFtb<p_1+g3@b#?^fIADY+?}q_t!Y83&L*}d9&90gdx@+Ve{*)zX^$Lm
zpiX${ucP9c+M>`jABa~&XwtcAj!g{Euu8N-$x@e6hb|rNCg!a?lC;+MQjCgPPc$@t
z#8r7$`KLYes50s>h3k0HMePCzU{+oTX@0Oamq)B<U0DK8`O^i0?>|v9l3cpp)oiku
z50RPy@0?-IoJqL2Tr(4vc&LP+<Ad<E{gX3h&|3%RX?~XcHH7T2O;W`P=H6s?F~!ag
zK$#5?lbInHf8ufLzLg4E<u)35NxE{JSM!uxgvLzMQh)Q^$bcFNoGsk8h)KRTx-h{D
z3-29Q^ets)O7~oYTd-~<2me@OLe<!;KJ6`Jg<yBn(fzl}#w%$#UGT9h(?%<Wb0iW0
zGAI^qC~JeK05H&)aE$(+f|_Zad8rRXEquo&4dtsYF`~EUn}CKnPl)I)Qrdk_&Zqhf
z_ZQz;8?Z(1XyTzT1r=N=BC7j<S(kn<70-XtLYuhg8|&JrCBwl_7=pX~@W2oqm;hZ1
z5U$;$zPDMk;;hl2ZFR*88Lwq3&Bi)24ck08O4)z)nTs|m=mGaE&HM4Q*wfrueOAb|
zg)vHh*k7CAwRHBl?aa(GhU@pC{f5p)KJQo`bQoZ<8kHV-rr;K(e8E&ZUtJ#RNRHtP
zSW0BKq{FK(RfITJaSmxop=KS^(E9CUA;}1%?ZbBugvt53i|s}ZpN-XZjE`^Zz4aUb
zR<X=~YEHMe&8uA4FF-y9bWV0}9o_=BcY$4uB$Hm2OM1+cux*l$L#c!D<lV|s(+MrC
zDf~;{m^WYk^zJj8#i%=fg#u}EkHc=If{>2kw)X%-Q-4KlqA{>3Q$+<}<2>$<uaX$k
zY8SZd+RrPiHU5{}XC}=al7FNI5qXhLbeok}UdI<I5_C8E-sQ~)*E<pl%PtSxC}e>1
zrz*n*$B2>zAP?9rL5ro8v|_0q39su)Ws-8CPdi9S6A(blCT4f^LRAhMrTB!uG`!|!
zq|5za;p<)^lICxc6so;48r*!%NsdgiP_u&k=7>YAS2e~gP+CXGDZ6Vxk9Neoj^u7b
zU6H$nuBmxRgno{`<0arNIQl5y7yE_%-U%K_I%7G9o_-R*L46b}wsGnZ(@wbU1eoPb
z({m`FtZy=K%#0D&&!%DIuPuj+tIE$+H%maRrd-<4cSdXoXuBIV=f>#aLw=xBUureM
z`F`_OlY^#XDBJzZQY+>KuhDjIrxe_}ioS%6b0$=v_H+$@-!-Iu{`82)K^oYG{{d-^
zdwfu~tU}vogHEdE=OIi~kJ6*J-SM-+6}s{lnEwgIS@7L8_e13b%p${QW)AhK`Eb3L
zGbJ>PqB6M#M*9F|y9u|}!X}1;{HB?z=gLlggI)k8v>P`+@AxFg)x8UPL4fgZdh78l
zgUg$9+X2{fs`TK-gshrUt{vLsx=pJb@8*khrA=qPm2CdEY1;Y=j`rE%19IZUCK-RQ
zE>k&_xFN#G*h4>>s<h$xVRG<5S8sBbo7A!UL^Ju>fb1>q7a=iYRlR?(+N{L!hl6j^
zfUWNhkA2zTd9JMwVhqvt62<)+`(vsbqe;JbpS!Dad-ah@qZS0c4ge1lU^J=SD==no
zU`zMiOf|4mw7e&HD#_f+uZ>OjUQ$3A5guL+>RGCP<MPI#G&6cw0dOGk#V>t(Ycle&
zyFHCll_;ep*|GI<|6OssicLVDT+^X>!|inuVU@=iF;Mq@po(SAvGC;b?2SNGcYtH4
zRbwrm754<{H?~`EyEe;X;twmHJ-umP?dNFr`luJD!)fQ_ULT&6xlF;qBlbS3w5ANw
zpXO2P49Wk33@<sD3Oc^)M_yf>wV#!pSI`w1R}*|F*+d}3P`;GLALdl`uT203d1ZZ|
zS*q9q-n!OAc?I-$_=TbPTEuJyTx0P4p6aIbZ|mN(OGW@~;tT^2q>=r7628~tz^@gD
zI-gciLw~2H8uCp5>Q|-WOGDC$+vz={|HSe#=3ye)F;~}A@@_`08#=tYVVPQuUEJ6&
z1R$hVb6PbM(Whex(Hr4)9S5pra3ond4D#~s6@b<JynhsZ>W%a&)2Ola0SRPEl73Bq
zmj9Sq+)+Jt&C+USFZ5Iwq&nhOZx&VQ2_6c9J|$}a&KE)PBLfnkf1ZRbU>4(U8#Sax
zh+KO&&nB+`a#QdiU86pLN+j7Fk+2~;+kHi){BV~UP)V*kT+q)$-O2L6UJE;K^xrY!
zdmY9*)o8yQbytTq;Re~rB>o3}Y!|_Mn40APL&;e~HM_+ZY9E*X+BfJyc@>bIBb0Zx
z?(XB@+TaqyaR~0u5{COdfBlAX76~s8CBB~QmWo}M(_C}^ZMF|C={}lfj^`y_Z!6H+
zT?g)zDUtv~qVWZZN0lOlE*skXhs{6!e{5lXnK6l_kJtnrq}BUXMcx$J*@zj^4}9zZ
z#5I6eEzkv+YLQxuaDHanDTUshG64bqwOVWrXc_(=3rxtbXKqreG$$czRyiJ5sNwDm
z0rOIKkZ-NgtL6Wd)Ub2N-F$58cTP4J#zHGyubB$442>#SKP=xm8N@+v_FavqkGyv&
z9v|$Ljx2`e$F4bNU4r%T6i5ZKC8o8_Og%^%K;SudxOTVyovuO}e&FF>hu4oB#6o#M
z)8e=^LlRfwU#kY@Z-Gk~c}&3L-H%E&C;OQIb?Il!c6rn~6;C@F?AHuV-piwg!uux`
zj1edrg5RJy6xmC=(xCe@5}_w#iQ87a<jTAzA&tGeyE2GEz{?BM$BBoNp{cHDyTa3s
zA-FWHuml#_v+txV4HKZmr&;5gr^fp}aYX|`4;+#XCI8+Ko%)UN|7oQ%%441%?}%q&
zwZH^A#YY%*<~?>ssJHKynv~B?>SBUKHH|++1Oa;=e5UQ(iNuNlYi5$zU*OnS3e2V&
zxNwm9|IcxuYIkx8>&iXG#(4kyELlgsa|vu(%FurovHZ;KQ-b!y247{A1M14lj*t?;
zbY6?anGiK8VO^~zlJ>0L!sZpA2nhNcFgv+osG^XjZA$%SKz4N-5paLpp*C%LG%T9u
z`EMTb`5OD@?`}WKz%w7Jx_-4<<nTwvqFu9MYx4nN;g?lmie~|FhPKVp_6RFc4qRoy
zE!ezAP=2f-xWMv=?^WSN&AH)|djo&D)$fS`zjjaW<pOkuj=!9h0WRrv>n=b6(sNG>
zfVH3w)z??}UK@$ce3*NR4Q&X<juhKB$fOT9m&&pTdNxQt<H1PP@c<qGfeDpUGFw@?
ztQ6-_xm>t}zWN4N7%IDa{9^}8vN1JO_@3+->yDPa$rE2LT}NRo4wJPAL&b)Xs#38Z
z4AV8@F_#tBoq+pQ)Y!7Cs7X>lhNk-nUIT8tqL*4pe&bhhte>4PfzqjaOHqYtDJK-C
z-N~To|2R5u(1JIYY6J*59<Be-#5~l<{Ux3RH2F5eMQ;34ctsw&k02f<zyih%do6TX
z`Y_BP=Dhh8iWb1p86f{O?<=}UJTV8l@Pi*UOo>KmNRu7ad>vv?0vWA38PI7Nq5M8W
zYpM(ubvjb4t?@e_!J8cueX9yn0Q6k{#q0$^@`_>eT7kB2)m@EQmdE$Iov>VwKH;a3
z6eGj^uicCM^#9hdnGh8RW1RzPcRq1P_#JV2EC9YTC;BrZ$uj>KsyuDXn@6;WaHAPZ
zD2%0RGXZdSioD$0)aTVFZ*8BU@&w*$CFjq85rxPvvd{kYW$IpmHn6&-@93pN7BFU;
zs{bzAwvhX+HOee$;=gQkHbTz5`_)~gl?v*$X}#4HogEFb35lF+v(fX_cvFv|5o4Lv
zB5Z4|dQ$8FIAq_0rQU%pvkqCH?s$Vw0fy#<%BN(8dr?`bzVM=kFRsbITWxX&n_pfS
zlCP>fkjuZk$-Y8qUKZkfNv=Bl_O|tAmZ^?=M$_=<6z796FwT0>Lz)HHJm$ORfUzsf
zARa)H0L8T@<a<G33{yj2f?ft}@>EUdcrINOIBWEAFZm2O7Gc&0dp`-AB}etN!~3QH
zv32esouV=2Qmvke!4<P7V3^FUKc#Rzv=1zbGQ4v#X{`fs8$pWGrYUPG4;@U}cAm^o
z4SKw6GWc|%q4lO!F}XPYR$oVi&n`VXmrrSQ661zEHKQ!OJLT|y+Yb_}9|JIA8k4LL
zZBLD^O>@cJSKd}DB;xL3RjMZyGoYoxk-fixE^eDsDuV1@n$W>uz%Z+D(TachIz1{4
zfVSOgeVN~pWqQrhfJHs8JRuRPfU!I(n;|kby(Ctx#i<JQ$&z8|2N|O>%J<<mqI}>`
zH9+3dv}~jb*an&|Dhi$>Ow+!(&UF!kt^w}ki*5y*ne9+0rSY>jOgLvs<W*#VLb8sG
zv}3Jy)sOEmZm$Y3X##7Sfa+%3d~@_cw802irX*#=Q-IV;|80f1ECpglbxoI_aEs6D
z9*+rlz*xA`0#3Nht-Zp`nB8pNCo`lk=+8RG8$Q)=1=^4P3?#%L@`Fb`1!X45kNddW
zG-KnB<Fhr)F7zY&2cWZiad!rYplE^zuL6?h0}?o$Aq^xF<R3pJ0wAY|VY~H*4jnez
z=@rrJrLj|Un}P&IKZ7*8l6HOoYX&ZLxT3_zsJ5yxZN-VSn}+1o+fqKD&*mRh%w1wn
zCap)|50yq+TEBvbye4_t;u5XaaXBM&*=uH+=!2|$fTFfj{oGpi?{Qcvs{GLg<px6w
zAX(G%{8T3AU80|m{lX@Bx3`p8O}<Rq9ey_<mP0SV2R|-0$sUvwZ`4;PGoD)iDjyw}
z>iyTNd!cyMLp+qvddrX3Jz)nShX0J4zO~F%=ySRO-p!Ah+=s>+kl8m;j$Sa27(g(C
z0=+^hcT(W^BZ0;07Q=0E`_q)KM<hOB-wp`R5dymM+59zr{M9FtzdJ(rcx@bl_YMtm
z#)nN*TYJ}K%*$z(f#pvjE9Zbdkn_NgnD(*ssvLn_xxE1;!@U2^X0`7IO0y<i@5pN|
zV9{YVt+rv6_UtPv+m(r!H8h1SeYAl8w~2mXvwvG{Vax8>S4LNQNT(OK{#5_%aDpUC
z-ugJd1D<vO932~8hn$;nps<?<0mNvZ0;Mv?<1j4KYS%s|Y7G&aaQ~p^SOEtx?TaXN
zu#5)!M2l*0f9&yrj3giuzq=4yRNFF2K<*!%8a0^seB>M`-~cudu^BKj(7DH}+5B(_
z>g!oBshnQ3a~D|2MwKBO-D*kp1XaPtA^%o@daJw}qu+buB?2-0l%|cIUzfb_JPHoY
z{c|t8nSB78^3wARUP-f;c-u170e=zt!r^e=Dnj+|=BtP!T0X@-tZVz@*s<7JuIrUm
zS2N@N*eecb*xpB;K#|M7IbQBOyR|$p12c7GK(_(3aNoz_x5L}xTq@)Unx};HC`M`V
zK2XUa?$|XZy*PKRR@pev<BG0*X}ZFNvpMt?DH`Lu$;8O>S;J><(dCOmYEymS)UfhI
z-~0>lQf1w7Nb%sL9XT&QY&ET{YZkHdcHG{W&AX=}7t(s@I<D7bw0STI$SUw(2k;Q;
zB$ZpW$avrk$osxsxHOCZwcxt9atUa4_ae**>V(p(FX85kcDti0`3Fuw0`l=2g7;R0
z54$E<-@gMJd7cv`9qa>JzM}s>X{O_o#~f3^E%pu$#&+9((CzQnrQd0JPkOidVa%m?
zF<<=|!@BPKVbOl}spI---@N2gFB!-6_RNrWWj86~+EnZS-WdJW+<=)2?+Hn&V{W<6
zD>r)~UaTVcMTx0>ohz-9uN>edwaovorjQ9_=6i*w3xDaF))ZK~+?aL=Y}Qb^OkI;f
zu%_W-ym&+;eyn+i+-^-Tj!$hZzqRSQeyY%E&#+4XKiJ%U1({o!eWIAV7O;04P(jf0
zBAjP)*ObvUY0aW6q2!~P?Lb+=hE=Dd=2kASuY)^(@3Whki80HuJq7Y7G5;|97^_bL
zM-<?jqzCq6`hR(O&c2sFY63CXHy=3*V5_vQohp%Pp4T2yMmAY)+jz5L_}3BnF8Qni
zo$Oxidt=Wf$}Hb5pNRZ;v=BwX`+$$WL7~@w_EV(HMR_c*kje(yp+2?e4-ulWAAgsK
zC3VD0P<_pRVbr@rTQ2JLj#bQ1&l_<EK2M8m97M!xaR&WqA@f!HM3U;GS-)Qz?bi#O
zCA+t`6=;?W@ldKuL^j>>lus+4+Mi3D3zP!_QA-DxEHQ^+bB9G6oAkvw$uGQWCns1}
zp3GO*CLO1@u?gcUO?+-nfkiyk@U4%K<yq`Ws-y)xJk(?8B-PfVVk*}Y)j3<D&*1bH
zTVZ_`H4R+e2~0p_hE`m2$&&YvB)aR4_;;SY^ukMt6(yS%H%_pBiCg^!6@YE{e_~I2
zuXFfi>#q+6OT&02uU!uTTZ6>?yLw_oT%{eIz@cjlpk6ut1niUQ>y>+#W+9x`1U29^
zNP9HjU-t8rL->(mns$3R;cZFmcM(9N-Q#7Y+%4L=$1IPZ(snI-oJ)=b6CA@vw+mu9
z)LQ-XAL73F?XPSPSRnFNJpj};eZ^)yEAY5{aYXer9?ZSoet$XpQTo;Q5u>I2Z+5NY
zev*J>XN;7tj6;F7|NeBPQJxX{u~#hc*q!J-9B-cHeppZhMvGs+zNMtW{f~Z7H>)la
z_0WidnK9i<H_@2+gAVDIsQtmgc!PycYSDmX262h_mg-z%{qzhx0JxNyIt&x<qY{Ka
zwYODm2b4?{$Wle)4Hqw#?Ovnb_zU$QUn&@iMw7(6;3vgSmj8N}<a8SSy@LTi{PsC&
z|51miH8#fWRK`9sl+-tV?PDVlE*`*@ySmmo)fdLd`P5HG{@-LqR5R!e&QpmB{fWc3
z(;XsSsME#G-7k;Vo*J>Lv2)p}b9Q#?)x?&3h9LUKgPr+h*IGi^)1&Lmp|AvOZ&l~z
zhk|scW>m&wgy$)r$iDa{ow8j6P4|)W#;^Q2$0UB<W57%xmz+;j-~3jc>=}EtUUNyo
zWhiqW9!jK7lr)IVs4D;69+&9*7Y*nxb3Xwc^!*+*NQcP!{_MW_oCSe6oh6C+HheIr
z{<={2qk>eQvUGh}yMD#DsK;@dPZG2qDlp@5#C`PErVqG%goOS4MI%k2-LmODluED4
zyt=>}E8MuzR3<IQWhch`nN3l5a^w}4Vj9bv?NJ#pn_T<M>fs0`DyNuUIOtx2vd~oS
zmY02a^zYe3!tK#k#NcMei$S4aGGb(DR)1uGQO)o;+TL^11~#<py!O>8LN%<praqa|
z7lzlvJwJFphc0qbJ2;vT-)gQ4R~nYH;hp2kik#1trPIF}-*)b23-M@e98yuUHCC}d
z-f=@Z1PC~&nDYAeZ-_#s8Bd!8R5y)sCq#J!ekHh$Um+^blTrJY+O8~mA2qZ;zr-mw
z_PkCCr*xh!I?QYG>`V7Ahi@Wu{KPol+uW@`YoV9&V8*86?;wgiI@iajVtw$hpKqwN
ziOA12m@!4o4ute5T){Kzs=tp^dSsagzhk*s9q5V35OZFF2Q;h_LX|@ta=5q+Fcr26
zR<epYX&&O)zCV1PO|O)v+`!u}+oap9^0@4L@g27Rw@;aw+yZPN6uGBK@gm-%rY=sY
z`(b9OtM^xN8v`=Nw8X}?2p?4~qmz|g%+yJ-7j&{R8-ag^)1O!E+~URasl$#(X*|y|
zM{}5c_@-PmJ2$V}=8v8S2=)bR1fB`fyhzgg#R26g*Kc2d**+EG7{0cZARMCBO-#iu
z3696%ezSQtI(-kGNb*ulHQ;1qf)hS0KA>)#?h>~3_1g6xqWjwKQX6wGK+A$Vufr@>
zPQ<<`<gK7Y3C<PP*ITa@sX=qydy=dT$Qrl0SRm1Iq40EKw6ESK;x#YIGZ|8!nKaG6
zfl!Q|7QOrSp^3I=-?Mumjm%iS&F5mTPt3oj?W2AM_po4`01_6KKyl%`c%b76-p+s4
zLcZrG+<Rhp@wD`;rY1+VwqE=Dfij!HY4!<gp3Ey8r#Jr!&4adc{CF=A;WA|J<*|IM
zkcEf$pZZoQqk)3+dd=Y9A*OQMI5U-nyc9`{Z-%xwGaD^ylFlzX-|t-B-dqL4sltOa
z?XYUns2)up^>BXAs!@?z<*)sPfbn)NDWDT>e>H+H?y6}YX1{*30=M5;-lwP<=xNt*
zGT~#|9;3DNbIoUi!yogHR~cQcbXIMMzQCPu=gT}Iq#%*5R{X3kpvyh*O1+MmPrb&6
z%8o}woIW?nqhjbz?E%zcON90FWB|yb?Cc`|HLmSrDYXR`e-=J>zC8$}kpAxQLj@)w
z>aOO3Z_uV-H?h^Vs2>3stohg|oJL*71G|})_Q(%zYYW+QSZ+skM}?gUI2%>{_vJHA
zH@7-3=QO!oX(GPWIb>|LazQ;9iH)1mPAAdml4E;8mU7;e*>}<ByCU3I)8EOEzH`l?
zciyv$k^<lrIUnC}+j?W|3~ug%!jC4UOiE4T+6$AbzRL`DZ~`%IT1`aBypcxJwX$BN
zUU<uf40C+m<RRLD4)XQQX)gte%>Cc7c`&2-tHuACF8Gl0cPRGeO7vWri0Nd>^CaS~
zlAEkzyTFZeW}R-KpnyDQ`eJWBiRZW41Sr?H%JC~fX7+Q({nvif7aU;M0;<Gb*agYn
z(X$h=>gB&ia={TeS>%63X%{mUx0DCSRGc+}9~cqh9e6~I!EZ^7+0ZLVx{l6oDoQRR
zV*GFn-Asshikg|bT0BoB<g#riTaC$~^p<ZZ7iP_0`EZ%BaOdcu2RR_%Jft&iKP>Df
zXuRq^KXI>Ivc;Ct&FwPPD7F8uaB07Q`e)n>LQd_OTX)K6yXA$eA&_lmu0_MuSkZiV
z-M4BR;_y%<q$jgHdtV``33-DoE<{j39k%UDb+xsiaghylrJ^0@u-<&zi7VdX^}&i%
z4<Z@lwG@HmAbei5EQwjb;j`6oqO36isXL=k7Gw#tjv(Cw@tUXigMz)@_ZDxH+tHSc
z@l(?bKid(}mNQx;*{#2saSa`Qy11TW(+T$b!U`$>U1@SR|9$E!^%T|h4#x{UW^l~&
zf5&8o^{0XWcUt3ZgNC{K6TMT3YV}Udg7Phs)~>oIY)?PgC3bVrSxsbgVf9?MHr}<}
z@X{9(Q;<YA(w`t5*xDaBaC`}N7a@H$WOHx3AW1_oA85Pv;T@x{W_}hE9Iwu0{0#?g
zjIZ$(DV-12gP!|tA>^rEiwv?<8@x)LJoXDT*1Vgp|D=hLYYaGTyP(O$(?=jcLzC<+
zl%kyO`h@{KX42YW{`~fa4lJ6orJiHi`-2M}AeY;gGcXqHC!F1IG-0YF?5=S+pu0>{
z>rlc;e1S937MjObMuFE!M*u_D1i4#xS%p;<cS&nl^f+?!>roxlt!aiH7j;?M`hA>q
z)1yIF><fElKlHImGfv2jy_xe4BX2UI`i-HYr)G6LmxC+^7NZ*2Gplo}fsmXw8-u!=
z2yb3)ZLsy9GSL;O9(8)g;ZjyaDfi%X{Qgw`fmkir_{@s|c~>b#xsl3tXk?*y92!KU
zW;a&Nf>uo=P2~cfnVR46WYz0__zP`1qdAd=sz-QizS?+m*#8dAHx$$=CR=}4lYuAw
z30|}ByVS-Ve-(LI=E=J}#`m$2l{4~VDVyrXt#R!JZvC1A1@qVCe&dfW90xexTK_DG
zDf(`r;D&X9iN~jU5dMV)r937`b1dA@LMUh4sZCt%Oz+Qsi?xec(>A~$7=JR{g%R6{
zBSJ=?ZcR={yC|!8+$y~cefjbHp!i~I&Gh97=;U2&(@4RB-`THkpZ0jQ<^nl%A!;(c
z7g(0+`#-6Li5S7J|8(>V4ztkiITUn8{`svbtZ&%r)p8#g0RE8ZCJ39Hwxn@$zc$J^
zw5JeA_fI$+`@V%1CJ@lMO+Ro<0L)8W7BDh#!NRamkh5!0)oE_B4F@HoOynYhf6j89
zn#yVw;Ubszek{|)P2ElhcPQe_4&H8~*V=n6t2M2vTibhWXE%KW;pOI5MXJdl_dy$O
z4$h|4n*q~QnE~(%6Q|oUW9`qc2L+d|jJiFMx9z+<0wZ)so;}TU%^v(XC@8%FJ>#NJ
z(+!IcYm?>yKdTJ0?C_zut4(r(>-H^MaQ5<jJN~~T^ngnG1h;Os5&ZMQrEykwX<amZ
z&pZCxCmP!#4iKNL8%gspXN>^a<^gj%9cy*IeU-E}#4h8OJzeRi<o)Cwm9%#0*YSLl
zHJ_k8$B~Qymf#45&a0E&F~)~pV6)6iAwjg~;k(rreC{${V^7FsV^66^9Um>KEFN^T
z!3{XjrYkMM7h9UC9jZv(=THmTu&a8J+TH@TFIr@&iKBkz5>l$muU<Eby;nK-<cyUo
zd#2+TX{E1*I~bC#SF&iK6YAz+;F<2=*v1|8P~4X#Lh20W>5Z?{_N8IIN{Jnro4965
zP@c1+&FgkiCs}!`$-bBydyDiwIqSWp&BE0<=OX#Vd$DC7QSzAXQDGip3LAPkncFGB
z(Ki}=PYr)>*OhYO*AsZOKC)pf%?v_@Z*AUY6~WG&kpvU-AMZg0&FpS7YPrTbPdZ>p
ziE9F0yrk~dOT3ezg%zP7_$pFU;+WhWO(`-=GO=X7fe_(9v2krz#85e{ZqK|-Zjwwq
zR_=$4PC#RPuA8|l`N^A||G079D_;@>R+*?KlDu8t`T@y!XxTf^v+RZU@339mDTKo5
z3YwL^&yo*X;tQOlk|k-rI#uQ3EB+mkcb@iSrTNw>pjZ=ZNw`2aBtTy*F*`I;`(^Ss
zs=2ZwNeyemv{Sh`t2iR=?JC8BW#S=0vu{PK0^?hqj7lONw(knF=FL3KzX$@?n~<nX
zhjWwC!?9l*)1fnVG(MX)PKI2dIN5Hr$u8SyV~O>o8dHMW7wVyb`|sETu`i_Lrx(V^
zn-3{PQxwTBjm>1sXuWv5$Z7@BLqj|tEY6hviBqVXoR7{HjRQy+D+^)$;9f(BWkLQt
zYKOY<+-CJCb*DozJ>mYSfGEg1_LUvmNI6Sxk}sFOR$?oG$|-bEcv6T`M2Y2c+x1dJ
zr-f2G1fG&IbE6gD;RZr-GYgnSdo-qdh=Y)m*APi9;DDg%v4|{^csZ_jH_I3Kreq*X
zM<3gsgxvhnQ!h<5+2J+G)L*Z5+Pw~@Te#I5G?&_3Q|R4IZ<*+YY1?ttqPWBsjo%W@
z`P7;5g_Oysj9Aji!b8N9?4kxoXYk6hGTU#Ae@Es)i(f^P;@aFfHy5TAcfMVYL7V0i
z<-b7H!yWuv<<etvPm^KVY0JTLt#&b9TPnAlYc;P|vr+fw>;!b!!tO4_8ZYo7<Mgj)
zF_VBAA6*2qT)LW=*aW!dSLy37PH+K{R}sdetv6nAd2cix#w9~q&FWg)L%qOckA#XL
zM~&;&WccHtIBbK6OnT87%|6-m0geFm7zW`%h~%NW(DsL)+u&boX4noAO#xJ8dR>0x
z77^ME1;ub)*I{XnR747B__4Nvpk;l;9H;L>_qC0N7Eso*i8i(Sfd_~T%l_2#kwf}b
zvao>{Pr3fW+N(cv{YC7+OXB7XqBS<5OL7{8)Wj^NL}oMo%;5`-T;S12Ih>MlFPC52
zU#2cDT}ONy+29s}JUR#`giMnnZoY7$m<yYCUqE=n?D5T<NSmEL+dde~rXY*9Lah2f
z;=Z!$ILD!YNT~p^y7JGgX?qDfyC~c2^1plHbQeMJv6x#6tn)+X!?k-)Gc5-ip8>u~
z5P{%Bm9Y*^YY|Tt%E)n`ihyR|US)T+af=M&>wki^B<lYcrin1PBdT}AR}))U{K)#x
z^Q{vc#`Z$v4d3OGN-D8OjLC2w(Rav7w^3u=<ZJjzwc|y#!Yr@tx(~qvVp}ggoZLZf
z)F8aC_k{5LX43!BX#)xIr-9c2%;9+|qGwZrB%6l@r2ed@yp@d@yY8P;LgD3PK17ud
zk}qvc56`>*GGyO4_B%Z+<^rt~FwolmW!~iAACf1^I7C0I?NiGi5_Mhn`C&#xZt(@m
ztQ2&dWI*S7W-DFF7WGDZ$ohD`7Ha8I69Z6*23|r+ETT^N!JXWqI|sG<W1%j!Lb|X}
zmsz=eO}AVTheSz|3HTX-o7pu_;VctF`R$n_L3p4XwnClp4+#(69go%)y0_=Y_8Gmf
z_9U2gw1<TxDj^t7Ckzqn8-}Sydkmh!UQmxJt0xABli9#@ce+GSGw-%%i5mHHF9XLA
zS7R9O3rC&H{A{Cg1PQ<eIAV7%OAqt<y+_%%osn^j7wZ}RE+2+yhRgq0v@p3fuwWqa
z1ZIX*;K$iiB%U53DUSol{vDows+=}2dk(S@d^ic)j4$=fRM4>1PN-m`FFpXzDJVmI
zQ<vd;mrSZ{{OoW(TGAegYIKiT+KK#ei{Q7Ub?LQPzxEsgJ{c3p?T}x_CyfE13i~kE
zj+A^f8EplNh9vw6<@_9rBDQZ?1t*$FEq5ItF09rD4@dh08M3|8^;kPMldqD`ubz#%
zjD91$OiR7!dx8pDz{fVx)KEn}XgZ{|6=CC9(Fh~wWy&v2EU=Z=NcPGIN^}@`H*<5w
z?oR`&SrLO0<7uQBYnxBGK09~6-m@b>#Y{6{b7{@X?HesPJ8&0{)N&O!Qz%sGPReqy
z!y}r!bgE9(7ut&B*EH$&$XnE^GwQ)XC4w~&Mj7O3GUWXMx4^M|VEDNU2x<3w2CfYi
zWa<h;*faE+UfYqk`d+EJq)CO$l=d(<%+g_T?8PW=d?zzzLl8p9f_TQ`Ky%CUbPBf$
zWRA_`4aXDChXi)M;d?Cpt|mU~#<5vHqwkmDKMrI^1Bm^kVnGn}Z-)En|Cxa>tUkJ2
z4L3ga=o@AGJjoP>ZpD+wQTeJNufcbau6hByIo=r9mqQ#rEy5o0w8-V)pd4iV&7=XH
zr-ev&sk6rSLB`U}u@Vs9hy$UJz}dQ}$$I>_Otj9*l~Js^k8GrID$DYKOXUNoR1emh
z!$7dk=lc9!m<5i5>%;TIv;(W>Q-4QUncuRWRk69^40m<JD*d_dauniq`s%XQ<9K+8
z#t#}2TKGXjkY;Ncq8l($0_?|gsUbYo%IiVxZS2WBca46Alt3~K(Gb+F-<|Ir8HrG6
zEd$U%XxhA$t4N@iUr~H^B|D$>LD)%5fJO_Vrd>%V=6n16es!!lD9B>=iT7F{u*Ur>
zQ*Po(r<8K7*)^#C$hXr|201x}_Ep+3Dh>A_0T}~Rg31_VniXAEl{8&zid0}oF04G?
z$)1-a|LbgHe#sw$@!mS~6GU>U{iwe`2h;G1p>#19rGm*%G@`s&otCa=(PCU@z|GDV
z%ke@R*Z>4Qp!|J{E!h8F0Q28@QZfFE5O;rpkn5A%<AbN<0lfw7%Vl9JpR+e64HgZ5
zWM4MB$jrzdYwoB7U8!qtE{6-<G|QG`{bV)q#e7CKkLmr2<4f1Q3IiV*K_utJgwBby
zHrHoOhS;p%@%QzG&MQzq0n*>97x`w?BD5oKcu3Ai1(49FvDBn?SUdv?Do=x<9X`Aw
z(%73*B;@g9ifJ{yW%Pn;O!>1t{uNIB!;4=GTGLxqtbE01Q*6Fs8p%eS$VK(Z%e^$F
zDD{&%WXe<T1pA@PeOqKM$tL;V5gy=_iB>&T<pr&y($MZmx+JvB%4<f7vwqtf^jJTy
zCldP&?`1sggNx>eEC<Ky3$3Zq*@L}I5~kVv3<6JF@J(0O?KW*cSsm+eG(X&=bVWK`
zLh7>;&SMug?5sA7R5%^<mvh<d{2uSZ#iew<*vYmS>pM2pykkKaX?S*d**L-%-}5bK
z#_$F^oke&xb7L>!wwOQMIqbqg^<!^Bbw(+1PS(AKG=GJK5Ng-9W;!2swb>HxHXa8*
z@kMg{Y5w!)?Mu{ungY>Zt{>he2U^~V{PU21$}DWtG;S}Vl`$MwYOxZN(f9B_nXa}X
z<PIb9NtAeQsk6C^SL;<CtejkAkVg^aQBPDu$j48I8_s#bSE?ng&6$H`Ea#H(i5Knp
zP2Z#PJnFYao*7@N@K57Z{|rzI3G(}|?5Jp5oA{vQ$joY6ztu`01^HkxokiSat<1ge
zX^vFHQom_Qp`WK3ruXI$R(y5cN92;+JIgs)RCEwJ>ihUuDdHN#)M-j?ic>|C>agpp
zD?0QO@?$~U=1d%YmK)S8_WYYxPE7VjCcEhNvKpPlp^UDITY;!xT{X8aaN4XxW9P*j
zITUay%+6=T`Y4~+_$&2B=m1elD<^vH>Eakfk`QP}&P1k?XHqMNU;@0TAYY_kVQ(lE
zIQTo+;IoWKs&h6j=wHD&vMmB&CI!BDU<9ZLlOPOI5Ti8ydo;Ze07RvB=2cc9%Wlo&
zd`Rno@kF4hYsXTFej!<x(`d-cclmq4;U~bxy*=HR%L4saTK-Sgw0LC&9~z4Nn0Jd6
zVx#bKj+N2^sFkrB{qnrPK^x?5;na{;$#YKkDrhDSN*;+MkPxJ>tuTHKiVGLt%r{%u
zll-Ee(S40SOFzIOoj!dU6WvH&_*j<rslE3fo!KI?-*F6i7=njYJC9U$fbZ|pi7lce
zigIV0mst+yicrm>H&|mPO;_t`+>(BY27&$FTf8V1nlTI*l5xeEmn&JL-n?&{UtWsE
zucr+PW?N>NHlR)vhaLuP1maKXWZ`m)^gEvd&wfMSDGN${13w>E5GmrASSHC->h2OT
zWGUWSpE^)Tx*6jQ>SQ`sIT7({4Tm#m8(Ws9rp#Hx1m~1e^y#(1`#>Z?I!X%4H6=48
zb<eG9`!^Suhacz)TVnYl35Zf8M_s0Yq)ACXXDk%lVnCO<gu0~Y0AQ%4{js1YIJj5z
zc{l!ozLL^+pf~&WK7Lfw`z(j$?XO+ezV=6E{<miS69Y<&$wr+up}?q<ZZ<Q#3)w!v
z6)CnCAl~X9RUAS5`d0Wn`7gUcEjKb^rDq^Rp7!6hZKm%P<M>la(r<*zz<8Q<i=!Pt
zzFzJYj}Z&MBIPCPk<5sGKI%{s!e%mAuWW^<bM4^0wtxG%@0E^^|BEC(YkIH%#RC>p
zLZ$QT@w5FT3(SxkcEOY|&BX%Qo(Cf2GR!0^pEcG;cI8LGY{_1;^|1G|TsWv7ej*zw
zhKGY3SS)6DeO>P?id&+h@Ab=xleJ{!AZEjt6k|<Fw<-@%A8To#9vV&&X~E@4aUGM<
zY@*VUl7Uf0_iZLEK`OA$)&q{wtBQ~FyB>t+e4e9jE80F0s;R{!v4qC6g(=~P)aJ?g
zN^ERqI^?46WEZ5#M>Tl>PLU!L0P6g+QDkVu%84Q2+>!d%@eGiFa~>?;awIVcls6`v
zvomn-Zw@N2sj$MuSOgs2OQI47;9N2@+swe~uZy;H0#Qc}-YIvbV;gg?;W&@*v&LUI
zsW>hXU@Ie3n{LrhK}2`ThHsnC;X)ss+dtjgN)sanA&YeDgyXsWj{AQy<$*hMj=slJ
z%Z0&i41aEM-638!e11BjDgeug|1+Cko#U3+TWg}!oGneCJQlaHi%j8rbau>vi7&83
zw@ZC@J^G68JNnVSVV-FE-`#N~p~L4iB*#u=NKew9w<%gP&Hb;>1Pg<h>0;8g{DCRl
zJjx^K)Px0XU(+s{?2gXb9xy$GuSQDe!GD!rG#fMW^s&!BJ1LRL7D!wIORfP^&8B%)
z&W@+Vi)6*eBQ<~ARjsu5O0{kr^%E?j4jf8=^GLLJMVb$B;ynsA6~!AjjRcP?9CT8P
z6K~SB*$PBWAyZzK1@a$tk^t<iM;G~Kr9#|8y)yo>ji>?$jb*3)pt!p^r|-Nw_5l9X
zsjQ6H$38-PY^~w%^}!WKjpy%SePrzpd=bYEncNAwNf`7%m&xzAh5s{rj_>T>M!7^*
z-ULxXT8x`udA9XZ&a+<qL}x-hhBIwcXHk5hNSg(y^Ign}k?m6W=Reb@?Ep5t4gNY0
zKy2?!(()5CDO~9o%-5%}9P&`IqwB70+ncxl1LBBD$<XbMts8TO(OQWyn8(K?uszHM
zKxx(1NBs~b>Pf#=q)mdhwHm@)mYL-2&=<0-gGwXgReV_N`*tIkSwl|X(A4&gW?rgF
zp!OWN@NmN1PO9hKn`}}F5)AF?$kM~CXnkW)LJnWPE0Siw{Ueyg^ln?%@vT6}1}xn*
z`-rd#eQOz+Q7Jl7@O0=-_IP;o_ZY45H~GBL0M}9Zw7d*8#fwp8)GxdqW^#640k$gF
zs{4t*PKCw8X$KCN;Kv3|!4naI*=9NAy(NECU~?U_S7U}o+nAep|1dOCiP`b%TllpS
zTR8^^u2veA%GoJP)RCon<F%e+50_r)I>hAmc1rVUxpqu`>;i3*{53?!R|Mr183X7n
zJ<0|QkXF&>vC>HHT{xA+hLIXCN`UX!_Z2!z2aAEgimH5PnD;VJopLCwVB3}+X<To~
z!L;4fZtu}4OY%jq&(fVcpAS~KwA;AS+?c498K0rFBB8C-S#VYvg3P2vKc{T;QgFTq
z!C@Wzcj0PNwV3@Fh}ohc7>*H(p7yLA(dBwuc;{F**yYq<!`D~Z@-wl7WqtYfZ%kwl
zRJH_zGq9Ol>ETx*)ue#$ob>yR5oJ6dhokAOw!}m6AJ7-e^}K(RO<aXe`@*g&qny)Z
znC*10xghU`gg!$_4aVZOZ2j;veOP|HZG*bQ0x&d@8RxKP>F8zMdk$8waOPinRGwf+
z(BtXh9{-$KYN*Y^VP}V_S<<&pK$~IfW9?phqJCcrGfeM7ZBZad?TSRHi^lXTf~FxW
z+N)g6LiPHAZj&1S5Cf#GM)Q*~xv~3WA+y&yww;?ccq`xM!{R_3h=@GO?<A#`R=AE4
zs)k5+=E-KNmr{c=F-UyYLAuKSp>42P${AN~Z8;t8XEJP_r8o{YC!$@)FrXa6FFASQ
zLWZ>w1Pxg2RuqCNU}k$00=vC^I=T$K!Lqod=~Y@fF;v4{wrYaI>)Tv8WAnJs-y#0t
z$(BTsBObHfsn;fNmFWzwHe!SR9gzoz2qG0{o#uU@g93(!NgV*mi7*z3I#9K}N@4Vr
ziTgd&(hzuYO^VPEoFydn0=H)2o`<>O>blK##ikoQs=$=d`N^vR^$__U_)^`$j`a5$
zh8z>m@-GlQdwsZW@FQY6tnogcw8(1>#GtoL3A~zy*tlls@W#=?0FSc72b3G7g+tz@
zg>oYtQl<ote&7rMnK}9%4Ny}&;d@;Zaz1I0eqtKmn{ycuZ$?z0?LOz3Id6%=nX#J*
z+}<#Xc~qb}x9<WpRzr-C-WlFv&f8p71iv@1ogu-j?UBbCrGLWqk=cDoS9;Ok++$5Q
z#P4u=Cip}aY*QKYYJmg#N{3zG9|F2tJ|f-TZjrh6L3!-JR|qf1CgO4Qx$j5^kQiqX
zHmad;;ME>_(=(XwaeO-FZA2lWg2r3-vLUHY(@%X7>9G*Hn%H4~e(`{L1uX;rZSkG_
zwm9WO^W^j(rY@3Ge!9E4JH*r_H*d0SP$ESkCruzMh9z;s?8_Bq&vgLJe<A`l|GdCz
zzRo0fdY51Zq={q43;Q#Qc*A_6@2#u!$qQ7s&ISj6a~5|D@=WFaFW?zG=w;MaRJ-48
zB{rFPc6$0KMar}HQ1_lFg1LPYT8fc}ffo)S$e?wMx&Z-mdZ@<&^_%|B{m+8;d>6Z6
z)ys?BRL5#uj`^aLBT*z2>(UyKr^RpG1u|XS1rF52e@oe-`4$M5qBTJng%at(@<k4B
zWZjC|^=0dp9fw%0yW;1N->Orp4bsenOK?5Gmw_M)50?no@cvfOhjj!sRH$6v`ODJO
zdJt4{QrjFVa$~bPIuz~2ew=Ep`4&$L`7XD1etLS<Bb!9v#OTkL(Mfg6(S^ItgfVxG
zo-io!LkA6l3s32kY35U3@yetbXWnQ}$lGIkJzj@y5$+Y=wohXjTs(24Tm8pw7MLQ|
zp}Sut@xDZW$J~u}*7oVBa=6DnTdH;1;5DuJZ7I~bSO-&(p+W{oSmu+0>(`vB{4mxc
zn8FUkt!Sm=7NBU~FaP0d9<+dOr*xb$n|^6gTTMLCqwJd}QVAn8;#Lmztc<BWsU;ka
zU)d`Jgwxs7V4!lLl`Z|Fv`ie0nO}@F$c1lxJXE5Q{9G#V!d+~)-6tcg=`jm0yR2M*
zT}}|!H-1(z<r!|?#3hhf=D87Al**R`**9b5`p0k3r8$aKKL60+pSG^*q&*mTonoE$
zm%PW)-B<jlt*^fYt`?np1}o5)XdM8+-lQTvA5AN-H{CpMWyt0pTG;N+Zu8H=_mA^?
z!3N>N`h8rbd}`eNW5LDtg6_{2B}ZIM6IJVaUbh}4)&dE&p+4ES#rZ_PHPlj|ihxWM
zR+@cA<gw%IHb!knA>#blExzuP7h8G~mg4o*uL+n6iE;mxERwsZ$-TWu7U^IEix^IU
zK%CIN3}|~n-f~ef$DF~R5d+@uw+ZqUk6p*I>u2H-Fim7v`A>271y~{Gfmo%Yei7Q{
z6($xyGV66}158NuK7%hY=e9x8(T`HtMOrN5J4N1qr^X?amn<^p6e`Rxr)m}ukrIk+
z1KaU^qZ3yF<QQljZwfcb_puSL$BuUMw@+f!F2fwViq(~xi#DEA#HIXOMCFijGrQ=V
z-Yh{=6RbtioomJ`h$Ww$ZZ|18`j~Z^*OsK}tLwA43bu#Ea`MtWtD@Bkd?M6#OSi7I
zZ3(P!-p~c}XDa?y5=}xOFQ<$aCswxJJ=W1Dqlm{&iOBjcI^$?-zC(|aM?_#tV!lZU
zi?X5g5nv`s4CjJx6$uF;xp`Pa!<@e>v?#IP_PxGd{lqefU8pI)tNp!{kh+pQ8AsRm
zpvKvrZSU;)BUHe5gV{NMVSR;!7Gf1Y8wn@N939_vzWui5t;WWMa2QDlTXYOfmz%tL
zplRtp!UCknXDnbs5vgfRj0#Tj0RFVrf}OJF)bmHD0u!wiUr~xQXBvgmB<;3!L%ZaR
zeFHDJudJqjPrq=V54N&t@@Ra=GB~af?4{$rv@qHd1%2IUzcVST5i=Zy2R}G`_ZMi)
z!0l!8!?r-tgXH(S?^-a#7L9~C$d`81UCKNT`m{9v0gUlq7J7Sx$6Oy<m=1T*bK+Bb
zZz#pO-=O^CFzN9;pVNcOleuPJE2!0=L&A^or>$tk@F*?(h*ll&C?7zrtZfp;N}Fqn
zgO@Y8$K-UjmJyC)Ui_uUdB-({?Mg}ssPLJPS?8U3AY|Vake@~6d6O&&)6ad;T&4Cz
zb#lv4U2lo%rF6q*QIhg3qzy@3ORfVwvgtQd8LVI8u#?%9bV)>_?HH$A(ZX$HTW>#r
z4zpj>;3W;2K?MI`TBhG23*^X*zuW@XN1V#EO?Pbe892+Vp`&OCC$bsuTBivG{+@Nj
zK~;pQ8kgt#(BZ9gtcXEmM^trju2n_ZGj}V|;f=3d!jnO22HbATuR%LA2*Q9wmj&<`
z6cFMRcToA~sYDdRQEksWu5qG0TmTTD=&)>P;JT|5#DV5IKQ8MTfO$%y@^Mh4ECR4@
zxUM{Hwt9I`3-~z6t-R8--Z&vYk;KYL!lg%pO8;9R52L!&;0x0YnjVdqu{}!i<5ZU$
zh1euNVWUsIy#UM7fk&y+mgY+wZm7BZ^xeOc>T?jGiu3UsjyKQyxZkEc8|c0TNN6Q;
zCN89%@OO}}gJz_%cxregC?O%05KegKQzG5V)@;UA#HLQ*@byjA#?qcf^iz+(z>PpF
zsLj<r994jd*(P^?k%#HZ)-!IRVriD?#aPEsSMp11$s42%Oe$2ImVHu$`o?J9hX}Y*
z@%+zHMQd89{xjw7n{kwPKM48G+<t4z;=NPpR}-Jyk)N1XN)eKl2^cQH<(Nf}3^3%=
zV-*6(UorA&yC%<o`2hr6FF=*AWJD{`x~!74wYUeRYI&o6giDO%jH5)<I8RIOM2>oM
zZ|<PaGo1<>)KhX}_r^l1gGtL#Li1})2}Yc<+%ex>mXPLtJIw}Fg{s}2FYKPWKi3Hb
z#2jUQe#z$mh)FwCIj4`rdt!I@BUW$;`8wLeZgh}t3T+=VcRkAoQtRBMJ|~nc@8RE&
z^+Fxa#x{yrr%CB&bTE`Rp2zU6xCJ$rIi0u7yu`PpJ%1K)p8q4cGIn~B?hpGk!me*x
z3HMp9?!3j?R%pqMH%XHyQ|bCb2zJ8Ke;Ll1%%~;<hC|MP-e>1%)aV#4%j1%(`aHAF
zMphKWJ|z_ME&FZ`dp@L<Ay3*|9WMelo-R}^-3ATCri*9{t-#?(4-eQNqHlU|$xko?
zR)_hpmZE~x{bhZH_Gz|dAJOx$D#%ppw`ua}4S#C=vU5J^hv8B={2KL7kb*dY35Tqq
zP}lLR6LIKiC_Tq%cLVco07Eu4)c)RXB!gFV5?FEA_q6Mr9(!cs$2to;LrqOG8!Egm
z6hjX9C-f83NHa3JGFW|D<T#2oSrgI&+p5dnLeG!hsiDs7@mqgj<#tU*1Q?0qzaJV)
z*mo#wy6i-2lzJzso_Tc~8FZXiJV)(jvkn^kA8fr<Se4xu?kyq>q97$DEsb=Cl(cl0
zv~+hUB`qx_Af1b@wdn3{Saipt7tQzh|4v@_-X|PzT^umyGshfb+`oIw>^_uq{hXJQ
z2Sjhj(@Wx$>NB)GH}Ac*lQZ2BC82mDOSRz;M!@hYzxmMD50>$RD&ZMi&|AtrUhwuJ
z$JEaf?3&&*v6GCKCKrL&=hlc%y(k0inD)Hxs2+HuJckq(J%mgi5KYJgb|&uo-w?`T
zV6xwiVchboK53tyEuZg6G%W;nDpC6#)4urcL3-wfIw+D5`~w=ArXH1{pf-yOREqIS
zbMvCL6bw?PRem+*l;i{)12KXS7jtf+_DQX*jZ@NCnLL~698ZQ|qg4Wk!bVP(`SWrk
zw`<_R&4lMtwK3ywaCzJV%V_ZEz#X1KnLm8oYX7$z3Iv`e*?aCSd%-*LAMPzKGC+6Q
z1a|V~Z(6ymgGzn;Cu3**?<}6slmh#}SfZNB_j+9_KT_Q+Op2JiCfv%HzNkr>E7;ZA
z#3(yHRMO;)A*D;O_<&|?Q<&dmE%)M2IHftA-5!y4!hyE`&OVJczoT0%ry*nW?$LGg
znq`vW)p<(Qm4y&>KM{8P@XkjL-K>*12}}2O`VTBf!oiXT`8yMEm-PR)KvO1T;}(1?
z^crM6w7A)zBiiI{CG0FCzV#4*vFIIkD<5Q}B%<NnJl9OT2VYO$dHkJqQ14uDcBv9n
zs2J5UIHvF^{_=SfVv5}Lc2dVRn&{atBCKXQZTP+6BEo++Bmld^S*~beI$_MHM|)td
z&3Yms6Xf+U6KaN9qb2xDjNDFEochtQMyD&saa4LxVk6sfNu>Tw%Pxe$=*@y#QqptP
zA5Y2f=8NSxz{&~cCnHSpX=>g3(U#k_z>>pYE(5oVlZ*Pqp2#9Ve7D}-1}<;%ox3mH
zeunk+cQ_IqerRU1*N>4bN|T%RBoj+1qqw_#vdLG2jUFD{XxMTmm?Nf&$m2$m{pUF6
zGCn^s6@&%HJTS46#&Y}rBJ?x_OGo+$cLSp4#V23n=p{JqDVFtQ7rVKk0l0GYe#w6>
zho1JjZkjr$*mRf2T{d-=Su&V38Cy0R#iY<<GKP1muJv^}4BQ{C@b9KcNW&s$5`oFw
zJilGeTj1PDmp>qY@cfW81=b;kF$_U`!XRn6=lPq<jvxVfIS-VDr;bao*5Y*X&TQXV
z?Zg!w_u&K<_GeoF_LNkuVM}d49nspng!-8?mNGMrWxI#%<%I0M+$^s5r6o$~>>nD;
zU(VYi!f_e>zp5K!ZlXUQ`X<BLPP#S_qojjM&x|leELe;;M-8w>UaQh^uk}0-y@#j~
z^xzy(YT9VzB#MwYPx}AKH>w(8!^<wVXS4ifjaWa?{dI5G$f#2W#d4Hs5WGuBnCjzG
zu~!(N{EE*2Afcw9wxUn`nV7jR6V(Wud7Iv(#Q3*7MZ4>}-c`(_!-l^6?bMhXu-^8p
zMBW>KZ~)qtxmQ+x_g>xY(UrhL$J}N6c^X0s*(0u^8SPJ1tHUxSzem$-8GX})_$kA%
zx^t!^RA1j^J%%K{=}xfCMsVpibD+lj)%EGig0J?~B|-&nt-+QRXT>zFT<S!nJI=Lp
zg1Wx-DbWduOfng><ToImh=B91jQqo|5F%jg{R1;yYs`=B(JIO8VZ+J`<aFyX&(^J-
z<!~LSl2aN_|4@WO@U1>8vMoaL#bJ@45DOH@*8In0hvA^lGVW%Ytm;8BR<Hme!7<=S
zY3Tw?#-mTZ4S5rF6}pS`0>=_A4H}2#EiGS2%lOH;xs2U*<_V_f*-v;0|9_9nvlA2o
zg`gan<E@U9amL#(Qq7~e_$iD*rB&ykXf<^^_8$th9+g}m5oYonE>u8O%k_HYI8Ly$
zUSzm4mTD1}tl;;U+m;LASt8b-$t^T_<JYx_SvZt1<2g<krRagpMb@p}XO8#bgdw_q
z8sf9loAZi_J0<TgtCsoWC)KyRIJ>_89U~uXRx}F(k`x^hA+Py>5F0}wzvz!`g%#&s
zdk^QtlQN&GH_2V{@<t_B*V^a-%1<D0gtt8<T(8U{*+9iBFJwSV$d4yQCKyrGv$8kF
zHg`q!_V|jf`DuJ8s-P}&G$Gq~pd24~j89}LX?FRELsK&~4_8xfMu(5zR3ZY~$d#};
zxVSS7>$dAl^;>DqgI86>y2JQS?j<KWKek(}C_xz~%o%X1SU93R$fPW6nCJjv&2jFx
zyR%H<Nnl+YU9mVeu9X$Py*CI{P|IE^+e)~xjzV3~gLaPBFeiOj0Du@yPR?K;A(x`U
z_^4Rf2QY?Z9XH15;$t+R=3}z2DGx&&uP|CfHn(vy{U<R0*`pTX2}*ib@z0LNEM&iF
z{~XycO&JN$vGqr2Hv+Oj3TMwtH-4hux|n4ivrXLZQZd8jwRn6^Is#`x>OzAaLMr0j
z>4SjZqhe^AWozGP_N7F}cjK5YDG?ie!!q+srlp$fk{1#T&iNuK1vFmftczd$N=Vei
zWPKv*_S?_n5)k!F)~H7#&O1?D=iC-`p}3^eF?VX0-j?n^_!e=+7%W9ns;@^Uy)zzL
zw_l0m-}IiZ`iH9#M_b$rzXqht03PH8Bqo;BCELQj8M$%1v#T+ogI(`CK(Ki$3U=}K
zapR<nJ8uG7Gs&n$jXJ0O0v2#Wyr%-(C#cW*$R|)Rxb<dngR)o3@K&jm>h8!E`*?Fd
z7hDq>7OLsf?>mX(;0ITFZfd^$z*c#KE94$!4z0cM6p8Z+WTAxd*YnnU0(7>}S6168
zS1HIKsG%qn4h$9jrkG@?4{%Szv$B97d+eyVKGz-LId(QkW^i9#i6F33-eeF;?0u;M
z&=y?`;e^wbgSV$hD<qBDd8CwM?Emb~p;lpGc<mH+m0Q0EO(XPm+E4W)HmB4HCLu$v
zmeq)!(>Q9}m^XVY!R%w6lT9i*YnRcD=07&yC=h+>?8+nd6Fz<Bjjb>+3%ge?-Orz4
zgPVcg|K!W<vEvSl4o7_(L8pq?%0=4Vq90Gfv+`kofV;D#UYPSXr7Y9k3W#nL029zI
zQn{P<<7V<H+#n_L^(hbcS5GI+E;Ur^EtIs9F>SXB<&8}5kdY$Kbx8iq9j2mz5iZbz
zpsspH<Z=f?(*{)Q_ngI5E^&q<eXJsfRX2K!2kr=d*<$l*3__ExEJ}3QGJTCY{n<&X
zcc~@7CoUw_oha?DSy-MHUSeG{Dq9!6$p#*a&@jv#cYB@u{NSYSh>r?J`_L+|hW0J$
zmFH~oocx_92d<|oI_oHKeBMKLnH%hR(!D?&pEP%Y>_8y%@_tC|aAxqVCJ(?5J&~;z
zJHb;Wa+1au_=k&FChfpQbaW2BswV+J_3$nIYII-!?7KGe!Ny7?krok(M*#bNvHafL
zhvy&B`Pm8rCtAt?xT`G<$0x8_$=|-~4>Y?c2WYYUO2m$akM?{#AH-`an(2!azVK~3
zQ~99=W<cq6#D@8-`=YUyqelhneY@K=l$4irX-sk_df8PJMY-G*G5IA760sec4?!U=
z1fD9a+8<ynFnkc=PbBe;M;-2U_yN}u`SHKI=L0(H)qb>MPsK=t5CrDqQrVAmJZ}xN
zALdQD`Aa+n9=JDO+(!jFHt-Ak7o}$2Xk(Vf!*@uFRwOkctA~aF#TJXgkifT4MY2qB
z-prjgYIfcXTYQKvQG1efaptvYd|*8w%Mk?Y$d^{FXDVs-u@YM`oN4z)v50W#f$NOC
zp$B!}rsAIo`4w!&QOJeXW7%f^xy0mmYC7#X{IL-#WqhtZ2-e7e>t+w@#?M8r#8t+-
z+q`4G{A0y$KTmW@#_LUK$T~bNhwj4eBKmu;W%up*pKb>@izAHX0CN2J>1o&^>4|Xg
zyf%(RTox+n9*|6GD>1ZXiTmPa0e#Y284B9`=eV?CNKDBE*Z#RN`-UecGQh}18Nc01
zOXI4fchoAj46aGTQy6DAUHgpe+h9dQ;QPJ^MIGqv6o3tLx_adN8^BP1EM|wZeER10
z>zvcL&sBBppR>tl$$KAIS8iT%ewC1tL@UY0fvksLUFwq4Lojkfg#%-rv1@pU(49p~
z5!_ctEKygUN)bpKGDrRqF@zAsrgwH6f9s)=WGWwRId0A%L;BLz+ZsQ~K>#_q|DG3a
z`XWPP!ymiksZ=aSW9WSttg3Y1Jfk~iOJD9?-iny)x!W_0V~Mrp6|KZFRvPB|IKhmX
z_0a{AGA2#UVwg?KpfTKTw9wl6%?+7|D=hA-`NT^fi$b~>2~NQJ0d#yG9yF>p6_q_E
z!89Bi+syVgeRnbxuw++g6#IF3L5lk&C9D1%UdPWwpq}P*-dA*P-<$Ahwy7rryAM9{
z9-(6`h_k44L|htjZU9^3o_$k&RVP$yhJ-v%rcoKwUQga#y2NjjCL^@bJIo}l#IzE9
z%L7~g_l{XiH8tf9xy+znhx*2U+AAhVFMHzBST}-t0eAj{fyJi)4n@V^v};2(2)4AU
z!8{N67j6iF!XHn6<Z_Nu3s)fL+;}Y_QIwR{X8^~gzy$DY$T)!TrDAGk-mpG3=vb;~
z)=dL(K$>JFdsk%}T>v(*&u!dU>_Ol&32Oif8@L}7NpaEcO@=Z$VPZi0*>TE<6pp3L
zm56YAV*-*NS|;qLQ@_AP>dc(8LEG2x$TRZMgdNMj$(Hhm*9ytYSw+{{&|r?N-kri@
z%Yg|QryBMpr;=nc-hyF@komL0Ip#(2$eLw8&CzW}$Zla4*D$_Q;j7@;>CJ{z{V4tT
zMqXhZp9h(G8neq~F?9Q{6*D>Kc0nC-v(+s+2ESdQ>hur_Y(*VfbdbrA_`W*|%jF6H
zX5jDUdj2J7n*cXcxfOLAQ2~$Y4(qVRl>~BBlAL8ffCFYKCSzDT@^k?om{I{*+<~db
z&G#^i-JFo?78kT*#Q#<>0i<$-2X#e;LqDz(Pz9dD!?g~n1eTmWT525Ge{S`G3#ML-
zlg|{ANpz+cd?L0tCs%M~;S3c2r4ZgqS$-i>_Qq3bncW2Cw2iCAbC2hH9hkzWiFgNR
zsigI<AIjy~t1W%iE)5bJUYuW^-|>IbH3`1Fjv6<4mp;F9R$gw0%Pp}P#qxrd0MSEO
zF)+2UI$G|zR50@KtQXf?3A2*NOMxf(?>R(=Q@$}4k7ytcYtp_*rBQ(kS=eW6<xM<q
z>qPLy`f|abfb{XWgSk$*Yz9Q%Phi>yflRD(oO@2Dds1H~{oDQI9(or`+4Zcmx_hYC
z9-%Ej_dnA_EQn4DC^&0ED;eegumD*}jUJDZA^qe7Yh$LZ)`4OUdh&>EHj`hROb&si
z=s*JN6vzfPeUij`=w3F$niN!Y3+2>6l$sq}Kn5?ZA=H>Q6((=<t!(J^E)H9!2xeRm
z;5I#}C0D$?*aFPI-0|1fMIBR#&S<`#K!@Ztly&d_2vJ&Avg<|$XOl!c)o;#5vB+(v
zP!&=EfEk|3AR*svxaLRsc)J&4Q<LY;EmgCeH|7#KD9A?iBuem#4IM%CL;MwCoEI0r
zNCqm&|HNp;V<^c@!q$)NcL^X{Udz!|zdJ}(nK?*C*|O(Y|C@|o*6AFeMe=>QNskEC
zydQfzqD8c+ud_^BYPgmWd6R=-Ny}EbD}El2k=|)RkUD@7HSnMy9c13Uh8$(T4%#zy
zU^te0ViT@U@KQsx?M#!PCG#;t6w5iWSy%obett4dovH2A@?<V6Pu-F3%DDxuL8^Oy
zNpOvB`Pt7_SPB!OwK+T^Cuu`->pYqg4p;#24<T-@@g7Iz0ltG?9^iYoby!^vRqo&p
zQ~9is^M^gu8Fy}0R;zj^JE;3RR#WH@SfdDj5H{SElomEM7@y+KJPff*t&vaOBR)?u
zn9A-1iP8;D4x*1adK7e%k%>mki?ghsD5%4)u9w%H3jh+(6S=5QPbP=%t3YZ#^w#2}
zI=CHJFYNO48WvNsme&97Pe2BGkvdJ&sEQ>^$iWc6f@5f1ws^UsQL!4U1MrIqvn!A&
zE46@neGQj^4kuHY_FfK}w;BsI7w8N?znfh8uRaGSdpEP`d{N0lA_KCqjiS2Rgo=h2
z&`#GF;c=o#V4;N-4y*tQK7@=E8D*a_lr{_^_q@rXuK^dA$B#O|rP2JcvF#SmAbp5r
zXF>&L$ch5oJuf2nKRYJ|h|xta^<NGb_$bBBYZ>L4B)_!WSH^0=?k4Rn*ja85F|n)&
z-&X^g#nmqCIa?~AmHFXV9rg9a+E;M181ghuaNQgcx=%-u?j;}pDN6?CEKDOpa(h7E
zYpK(F+<S4|U74V)J9EEN!Tr5G!>%|C$G<-6g_lW0rAE4HR3^S?+QRK>bZ`<c$}N*H
zHca3r>kQ+WpYn7qt_Jg&pYEco4|HfSA|8$#3ztK;Hzd?NSm;Eo39s+*;?`uHFJtT_
zGiW~iJSl^6TTpT5M@@66LTrDhI>=fosLM(})*n8c*j)<wHLmAWGf{O7*HpZHwW{(1
z9qi)Auosh0ZS>!rdN$_>fMI~Gm|rYtLE<ECWAqPy;?Kk<bK!7v#bwTspPSG<4@+VE
z5v}n%bnM=xZp@@Ndzot2Z5@u3LBj415W}|j;o5vKK)W&FCZd=y@L(bHi$`s~_g0%W
zf0e2})ud~wL1s4=sVKaFiS!f5htn#M)p<q~dhRV{SGZ2?5@ee#-|C+zG2P~yv{%lr
z4b-JlYMid{myTcz<7uLRMwn5oH#kUt|5zpVVd$osLu!>+Kizmt$r~$ji*L(i;?@M3
zD4x?em(vSn<1fCcukN3!1}~ePuX%EE0u38&ewmq~PN4T&XK)*@91C~^)FZ5!lRcIc
zNp=--{ohX6><ZS)(RE5E)LraM;_cDY^YeNU$2+<>^E-Jq16GZqCTrH62hnD%OZ$+8
zJF%7HP!$jd`%gboM#yWDDW73)IzYtxkg!FVyDLx6$siB{19u{-A<^CpHB`dW&-eW!
zw*YQQ$YPVaOEmfznRK*i*OwlqY4gt}T-UFjU4}dG{=WTu9!n|Znk7d1i?~DO%{YSN
zuXEb>5<r&3F-T)w{ekHWu!B*?%X+nh!!yn^J`iIJGrd-FA-Vfv&_b&GSj24niJhaQ
zr&m;U3y4-$U#g;ecp5H${cqW6gWdB&lNIUyccB+a7*Ps;e=KcOWi@)!TCueog!5~&
ziTLnMr4H!i$nGBZZQI*5l~K7apSiFkLhz=gB%OY&@^AlqCTYf-vZDQw6JNOijUqeA
zCe{-?6%D=2<_PEU+XVq}co40ETP<OU=Ja~0YN*WTYAxsGsb(6hA;UREI<A*FMZrHH
zK(RD9(O>aRlW|fHBn~Rb=oU={4Car;9bkSA7y)itWgmEH6imhe+kb#C;u+X<kP?6L
z^cETOKaGI<j$}rK`!q9Yvi46VZ_W0N0IqJitKgI8ih3OfQXB>Rx@WGT7%o*nru~N9
zDO;PyuGEK}k5D1VQQ`jV+%FS98S$UBufSyC^}d{O2U=BQr2zVx&_gTmyx}&fPn=@G
z4~&G)s@^gova3&QNx&AquS?tFJ`P77?#;iu*;<Sp;6}6)=cXT5Go1jg5$@YtN6!B7
zW0R8;JKSJ*^VfkwkO<*hSr-JJ6Cj&i6!iZSkBYSdyL=m~tnRlqSK{8zBhf;ak`$Yg
z_v$@lF<^^As{<v#HdoqIElc@szVNU2vY6TW(oKtx2M-qkT6uG%?+0dH6`QnsY4NTE
z#6IsuU$!DSX-J57Tb;Xiy_|gqvHL2kmyZmMUc2LK5}*5`$2>A2GX!5~^1Z5oVDQ7F
zO$*PRq5%NhPSo<8ARU4LmkNVe$9YvM^K3dsV&x7)rg{$0*F4=lvM#WhKb**70JMwm
zO_4xU*ZzSFGp<v1a{<JQw)fp20J5fVNlNiGJrn}oUL8V7IB^Y?@MQ&gie1kz-9Jlw
zzZgc_@gx_iK=+((Q3*r)5<nv<orBv7TQ)7b<Lth;m^T6$3><*uiCYjd0XMpmr`l(8
zfi%E^>Dh}1b)SNx)b)3bm2XF8U;!{o*Ni^rt9{^lm7;s3OtO8FFa9v!dYU;>-_)d_
z)!Zl0xZ1f<`wPeC)O+P-EMgqVf5np3&XFq#W-qAGQT&pdgecV~U<7!|jdlgDG5W1z
zkf#AFMQ{F9r)ta<k5zbIQF2-G_HX{BLx>bj0gFnZ?8C2TF-F0&JBM#w$4a-&ccPdw
zf(T7$fZ=f;bI^wmKMa6GDkr{cw$#PnI$J4lr1HQG9z~Xoi%-n0vE3st#x0PW_@ozh
zFiJNO{aIKkVdxgeI+D=D2Z%1!*%i{V+FBkNG%>HKyy7l$ORy;mkMOTR4=D9OHP5m>
z=ZaG4J&WfCB|YYIcr<M>2*H1q%GtmUEww!4d%7)yQPCvtLzF8{|Ea6ncHR*|z5$S9
z18Q6%jH5`BHgUV^_pRFwZgvU{)ANy7hw(C?ph5q{`5JKDWgRtsaL9m@US^2Z=nGB)
z&8tGqc#59{9{}||Qt_S(5B~bj&6J;vQnH*Fg!xy|CD$lA$xlv?yeX;>094)Ro8K)L
zWB`ppIQ^~1WY<)T%96Bh?dQ4ayVR}%+XdfDGM5066B9i9xHV1thg6LR169e_C0TZ3
zsyxIpiN&OY4xf{nY_k?Dv3D9CO5wdap3(Tpi^mgWBa<@DC1#EMd-IQ12CdZ*&RWu*
zS3MI7wbA^H_P>h82~Y3l8ETB_FZotqc)}UIS<lC||F$!%x3L;q=Z3&&84$~G?hW71
z&O!KRUJFnABRmP)gac<k0>HiRVIF=lrtBv6AjT>G4Q)7J1N_zk5!D4glHKOs%!k3m
z)37N8T6Nb+_dp-R`u`RJ&y2h~JbMM7OQ{bPVsnz?{YpT28}nj2Q&~CYQ`3@-6RyAU
z9k8u&>q{!Usi?_pThFDwC9Qe0`q~fCod$4gkD?71Q|3U%m<n2JbwZgfOP`W4am?7*
zr8(P&KVNyys@G$e$XXd(<j??U@1Df7Vbwnvk9}#eRLQPDuzo7*EU4(qZ30dYwh5Cl
z#?`>jqZ<j-=43b`b{qCIbq6N*2xEBU008>P(Zy%Xu8_L^T-O&!bO(!WE+f0#IX<wc
zD|YYHG|XSU3A3D$yCTE`JV0*;CGSB9q0_VVq%NK{SQ;Y_s<ue3L^*pzi`_Mi4TCXU
zmVM8jaEK!Q6)Msg&hiBzUG)*ds04>`JbwmfTYwh_y(nS(W{q4`w9>>;c6HKABUuIg
zj$A9BQ%e{D7LKK`M1se!l}F<WQ+E#wP1#k|P-V}-{6!P-=0npz9@1xvKTnZVS_g}}
zhv_UI$`@C70Kd|b4d$%7ib=N`Wd)ZIa5JK_rlO4qi!V|cy#Xdo{1v<-E!pShoLk09
zB?MZ3b>n#eko(h^tc$45c!a-pl!+PJ+m(a>325H5ZO49K>iAd|J^zQIc(^O2mNPi}
zFXj_A2Fy!P1Art;O2Ld1)dLo;Bb8tRj0oc80!-6qZ-a>ukFFy*iv3FIN5^G@Xoruo
zy_eGiJv>xZ-^(q(99ye!8kwAt<CW26Y;Q``I3q`vJ5QWd;3j8j%Ny?%WPn&%uq?z4
zVhdE4bWagR=a&W6Ge4@ab3i)+;@v@~+$cvSWtQ6y;dwl(dVwQ%%px#a8gA8C0tHfI
zCK!JY^0D--y8l~eM|Nj`*i9{nCjnbYfxzE?w|oFGaymek0c?1a(6sf}RELhsEQQEi
zp(p=kz>>{s!>@VMXTBDBtp$I`LpXrm&p&bc*~IR`FlGMXtQW~Bqv_V%vtOw3h7%p*
z)QLeI)s<sIDwh02OOa%wtn`rT{;`b;IZKVwdpe^W%PIp=fuxYzaQRdm4Kw1(Kc{)(
zN<+VwoOqo*I8;(CMAwEz*P<N9k)94Id8+%G!%@n;bs~T+LeX{YvE_%HqzsYUvkZH(
zlJmj0zGs2WLh;Y&-i&5Bp0+rwMKI^wq^O$%W3Hy-M97xwoOp!^BEoXqiW#o1Z`3fq
zy^+9fe(btcwUsRXR<8rObMZ{7v+*}k2WAl9DS>^pM7G9><uXySu#wXnrazsfRO0BX
z`R5Xle{yTW#CnE;4ddzOE%(Ixe+dYN3GT^H{X|`=_pf6gkq?3eeI=vCl9VtZp(A9l
zOM$Vt<CC^#W$(SbR6TvGXfcLDP5er9gq%Xi7Y_iYvH4;XBAoaJzM=C9cv*4?{>FDM
z5{|+9&w`)4;K7ZNrz`S`n9eNHI%$H_o*psymuX_ipHY=@U0c-T`eP(y?K+XH<T%Cz
zD8J#*>WRX6o#OGSbF$wEz@cbLWhaYK%ot1@+ML+g<0pnYIpi8N>)XAu$08NLrWchB
zD;zey@okik8g|4$L+5HOt>f5~1chsq>CeqOe&>R9VK7L#tuUzeOnkU^jL4<%boV?g
zwA%4Wb`rOZoP<6Bb2NWK+OgoqCw;>_lhlTnl8s(&pA(ow6Rq*(xOpk8Gv!9J){R~N
zaVuZv&$0G>5rgS|!DHE;R-FOhpaPnbfX4ud3r{2?7E0D=Ph6`yp8!Ad&+HuH^RpL@
zRb?Jw|1^%E;X3>S<9j7?l%&D?HGSNa6i*R(n@5RJ{hXBKxa^ew-_gP0lve3Vu;_8u
z-`Z3zQuo<5SrI<NU?;d&CtY#2_?TRq`)Jvc&8b9(H(eCGY24BC`+T+kABRAIdZz-b
z<M|xQ>+F%1UK2!s!n772R;P^r>My=Ew%J)Wb^W7=?fTvN$4tQZ^kbViwG&}nD_LT)
z1nO4fx!^|i9&+$bkh~Y1z-#t>oLbXDNVfyHYI1?@GG$!{x2bmY$@0X*&|kSsE6UrQ
zcAJVrjFZ&sVO13IWs@L4I(t;&33blAe|sQ-`UYzIT!DlpnLWDaXNv*hbj`k`>%hnO
z)R0{=D-)08%4ZQGdEZpZX82RX^?K$9bKGoa8*Pr(^x{0y0sg<E5O_LxFb4J|lgn<^
z^-G_uM}pUB4=xsb!7%B&>bhP=!h%QIolbq=vj>>jUqdEf$Ka~J;XsG=&~Xa{{=P#<
z&Ukb9$Fn9!cAxXci-;d^@dA*NRs2R1$9k>w($1azy^R_^kcV8ZcL4R^_@Rlq`)`+@
z>8~0<|76br>K`&NM|z}pHpJGMHVhtxyb6hQ`~9r>fjcyu$ZXUB8$Zo~)_K6aZhrOm
zm}#Ft2%f=wu<H2M2-hwDt?J?kIxy0xJ#AcJ_i35$XY<=09OLiSyF!fY3}X$d@MFO0
z>E0z3xhQyO40WA8>a5>dmbBwOmX=dwzBRmuHExHO|4>huTKj36t?k-BF1tMc!%8oO
zbnT%K@lTgh6rRE1X7`R!^JQs(Isy9`xni=}o@pyL`N64x?I3B<vzX5yyX2K<izMQo
z<M#jz%l8+m;8hBh^YG{F8_&%5P97JTmpbjxXAFty-8a>3lN4z_h9>F>Y5Xao_O-}O
zw$obJ#3=P#xn;+)g%;{S&4h=(j#MPMi{qq`iWN{rZs~jXZDD#vFBcB7f5HIT^M_kA
z3B`|`>$}^Z{4<VZTgWh40FT~%$NTZJ?Z*&Vf}Jj!caDHd#`2#qaa}Juy{J~OuhKU+
zPt9gbW$}R#C`P;nZ*C-hq*_>*Ak?(Y*x)I92my01*6UIp*QIOqzxp$RJ#cJIM=S7b
z!iWOhwtXnS13%b5TL^(mj~I%)>)pG!t8MaW$)E~*ix0Qk2qnrM{p{^Ul1yiB1&Ckp
z8tVd1fH5`ijIbVY>P0~S7W1#LPXP4QP+WytvW?9bXR;0FpqGNCQq!YSlI0o@AfF=H
zJJ|k_yBnHd{<wFwRta2!EGim{8}4qHaP)nKB3B-eP8{H?)K|@K>{&n7UqA20xI4Ot
z(kk6)U75+VDN(pYI_O%LLoOE94I><e*FAvy8&cpokS%7wh&S%ZGcW{Z|3g%UGF&sa
z2#hpeN}cdQ%+EbW<$vkzb5%@Cd;iCPmaQLy2%x3MYu<*?BIn3N8<34-!U+C#)L(0g
zE}6cjTy`SGw#Sek_<}qOL)UHuMk?)>*=sL%E_`-5uTBk%jA(A+L9s*C-s(@ItwC_^
z`XV1^jyUdtdWWmMwebOaPKX`AhA6yatZUNoQaPU^-_=GCEj6d1TSy^Ra!O$U^W$`z
zGyiI{*ejns2=0O44cvgOIsjVx3w<eLxNu-pa}CgbFS6|k{P=c=a6&|VPUS2Iq99(>
z)T0ww&cN`3xIA1#ms;JVvYf0ITa?oDcm|031Lx`7UyoMOOO#RIl}7+2W~IGssqTeE
z{V_W!R35dL{iu(xa<ky^wtI<d|5~Z+{;3#ygUle~I`Sw6j&a?_(1K7Zx3i2I%yZtg
zjfG{~5{hR~Ky}!1b$txg0q(fef@HG;IRL8{$#j{&ze2Q78tXC#Drxq0x>y$;fYH|5
z7ptPVPYgZ2@M!(~Pe5pE{hp9S0LNAmeDh^XjoDV%pbM~JsSBt0@e)v>^~(X1F)8q@
zbSu?&H~x-eBX+LJNKuFz8Q3b_Uh7BssG&VH032*S506;{U|7zI=YkBUFV{lebHEI-
zzA)p$%aQ1Qv+(hMiQ6om0nYd#Y~$DjUS4@GI(dpC<ym-o9p8`Qaj3Gx#1oI&Dif_h
zCv_vd@5XN_I-d3O;Opx2_a~zqDbtBJX^hn_aZDLQmd#(bNVr=wWP>b2-1pEcm<F@D
zejeC4LHnl3Wa%N(p@7!yJ-k0+0avNBW}zuoQEo`{enOAYyI2CsY{5UW^<DxR!h)jU
zkRsSGxc&nx&40V$Hb45j?QODHcjXxyk+{q}sq<2fnmrys<%VAe&o9_7z9?sW?@}ma
z<z-ds9Y4y;T(Vj%Fs#c*|CeKH!Tuy*vAVUAlb5Ur%#Lc$-*}$?g}kKVrEZ~#I}4fA
zphSJeY0`e(EFk1Z?oTOD-E_027q3SlA@?qKo4Zz4e&6OkZ$W%&zKEU+k91;4&dDZ7
zRmW<!So!(+m}q@A|BPkidP`hp=Wj#XM}I9N+*!#G8z63R*uwwL+mq^sl~#Grac80`
z&^+h-LaMYuQOLVQJI2V6`c(&OH<!_vtLCk`Z&a;d@0Tw;^-MKL*U9D2<oF9cr#!72
zU_f6@d#;HQ@KK)C#w~MAh>$NSEE*N*gfDvdT3%O}f5m9<&{R}f`r3tV&&BeR*0_=0
z`&#yr=neET-jf5SlLw8GwR!xsuV0^1&$HP=a4h1LF<eGJ40PRIgUkPv)#ZV>0BPYv
z-`E}%dy%X>dTe6{zfGqSAxm%{&l|rWd*N@mboo3YjL82))fT!Dmzhag4U*}>0flCQ
zZO08}<>0vXn}pbSDv-@>kC8DW5oF(%pkg0zN986kZ><5`=3+B%^UXE$B#9&KS<As=
z9xxg$yHe2|_U8s!7vrUAk4X7M^8g^O)GXEu10wkw=rlcK!(K|3^*7TOM!ypAz(OgD
zQ@&n25_83%<@pBk3|a{&)}M1!!1ja^HFy~3&w^iApMm>pQ&MUxhHDGZYaXKL_@zqm
zk6RL*<9*CEL7*p=_jW$wwK{rb5%Ed-c$$j9<hk5$n&}1ckEUwByjgYo*z)A!!M;~y
zBKSU5Biw!_0riBY#hZ^%A3%f-=LTv*K2LD49rg0Z;(e9iRG{8)Z}a-sJ1|_hRU4}3
z?_syKM?KF~B`EYqUdvy?dH9#@dvSmKx9Y)C>G)0+d%J)om73v&J4`Csp6?{He>HUY
zpDx6+XGZxrS`;+j>G5sH<vGbjK}&v1^qf{eY9Q16(R4!1pvbq8ZD>|X#lnu02=ZZ!
z#WWEZ-*n-6MwwLj){6z5P|^fO1BLIjez*J%02+>J<S{)DK<+#05YtyE3RX5%G4@PO
z<k3kz{k@_HC4%OuLuFtu4yU7#EWWf9@$%FX{?fl#^V!z2bo$_MhRkTB26U{5Wb=+`
z12ek<vgBGQ2pD~?B$Llkl9X8PSA%T(Xeqa5y$?2lg%>JF<jK^kfOD+=nIKlnIeWf*
z!wC0}S&?y7;uJFBi&2dZ^Cmd0R(4$1$mxdd>(4k(+V40HinP0K$Y}nqd($gx-3_jp
z!1pGOS!~Sd<89(2Z5&EVf#Zt6P-N{2$rUohMw=@iy*Kfs8!}lYPp7WPrD6+M?+`L*
zk+pw|HMMS;e#_=GWEJO0X~68D)~wfP_1Q^_abDc_`zPc+tK-nxlXIAqBViVxk_vm}
zWoCJ1{J#t#khwQJDjbmNFqH(i;mJJ3wzb~&D#1L7qmh@=FKrv^G9*FumxiG@&}mUq
z+J%<4J;*8k&xJaLu0u7Xlsmq@kaB&kJ8mNo@#IQh!$o$a-T`iF^38HvZqzaYU_Hfe
zfHXiGA_;ZA8l=qmsHWQlYEfw`<|@0@wD;ZJjQZ%sxAN1%N=13cvTy80GVap@hs?@(
z5#2{szNR^Jg~Y!^w&Dc9d*d$)XCTz6#K~EMYf`y|{2#(D3l_o;zkaZ-epqwS-lKWY
zFFq>QigTZMLh`!5xL&qkvKZ%vO@yCc07Kb>q{UC4EMS6=)KBoIC%A9kQS)N(8$AKE
z_qop*QoqZZ<GjoIj>QxpD<?+Zj(%LO!j6mMP)1+j?y9gTvI_V4O&9jMxfMK(cEY#g
z>O^ZCkm8xYIpht6!SOfAfv)ru1H}JBC6NTwMg+zWIyObE(SPMRPbcT{do?4YAjWqF
z(wf`YlzX#kF_U@(`3;GyN0%0okaut$skC#7rCj0sQnWQ4bV2v^pEq0PUrFG!Ycaf1
zL@z-@H9(H#A@aI4Ut68eVTV>sY8zV34tRE+41MM#%|htIVRZn6)vpS(hX=wdiyExe
z2R`kN{mBmEqFla(O;n)DAU5uuq<T?!c}IEj{JW{yy`%3MW4R3)M)kThv+5Wq`*T>3
zNR07@C$o>3y~%xaRL-5~<%&IfaJLyon+0FeP=6o4%%M7b>}(!cr$R$v(aevpDHsLX
z*N?k1q3F{VFXMAy#0IM7D#;`zbuWLDUB-An7bYlfnrK(kc`r8NRXER?a)OFW)zJlw
z2HvW)&`2KtxHzD((bmCCAZPwk9&fv?z2lCqwwXCkgG<*#A*PItz}5Mj&eg#23_f%A
zNLB<N<?}?Gd{WqKPN_XsWWqg`4?0c-xqo~p*VdoWdoUYp2kF-2^;!>>a&5W*bKlXy
zS3QUCuuSp&Lj;Kmsgmy{qW&4vO#Gs-Dp*A^)m1((^rvm1e$SpZqCE|$9?Mm<^nHpL
ze{k~hg{}gVe#>OCoYjb@5M>b!O#u~#Ab36A%i9ifPINLX03I8P#d!cNTRljJmfIj1
z{IE0KOMLL5PS(J9u?@WJc4WFbt?O~uS?#^TcbS-OXDFT1VW;Ncin~roY|Zq63A3$6
z&YDKjO>3M(w{OWpbMA7B*_8$#@4X#?QU%GXkL?G#QJHdiTl!zccjIW2t3@huu6xS6
zmCRLz14khk9O6Hr5Vn`+W8Av=<8t78@(0LJF4Vjn82HG=J*qu36yfs)dcGq|bM~kR
zgcM49KM{LHXa*{jNH>3SQ21=Y)nb*y+O@Lw)^KLQ-orOVQs2Dn29kGW{rIl&<B{uI
zm`Ee;@Qg!H{725HGnW58IsN?}K?7HQ5O+4NT}#m6Xw8)dMDM<<HX_9bD%rF9{zJ3R
z9jmh3K*s1wyvjophNX6*qe@PY=Z-WV)jp4xxs<Kx#Lun!V$$-7K)ybT<^_xjn;FVA
z;HiLw@;g;=)GEKAcY@JnEE!#4E$UBS+Lrpq$QHb!DR9mG`F(q}G#>YZokjEa5-Jo}
z;vM3AB}T9+6Ta4M<>G+p^U=xn>3XrZv+^TNgZl9V*^yO}=iU7aUsNxnN2mgw4U*Z~
zQw?Unp@XP584t%I4>J#2yaVxINx#&x&dESlX}iOFxi-&Vc*%Hs=#vW)xBVvC{RNS~
zs-cW1o+@SGF1qz2lnmBn=u3J!&mPX4>%UXxuy?p^<vKUWJog*4mW>f#Id%*ECZC{<
zJ>V(Mr&&^Aec)XhV<;S%pQO2$taMw8)e>(s^Wxv-RGf(;vM_v6C64IKYQ9<HS6{sG
z83{x)>C8&@9fge)vzNv|O{>FW^-SoKl`s@$w7_x~>+Yv!K0BSx_jb5JHE*Q?Ns*dD
z!Vg1~mxG#vI5E9^$?o&qrJ|-qf(D0bDC;K8M^@)=NL<p&Ys2&qdxEt#A4Vx0F_V}?
zlDA-;12eshp>iuCo1B^DXGARy>B6nwLPMs0Dx+GU$8xNp{r2?2TzHq+*rj(qjiwJ9
zs*ro8;2=RLEu^V4cQu;gra!;5-5#8_S)*<G4SDfPNmJLKue<iHtcsD9$OgsxarLGn
zud@RdJmz&gp10%^lbTvERs}!+zg*kqa)<UvSx+Xur@uWj3>NS8RMVF>>8X8sEOEkZ
zEa+hY-=o^xeP69M=qa93n_mh%9c4~UKu-f&3+4CsY9`FXhPAu%rCL=aY3V40qMwAZ
z{}V;&<qIn?CPqt4SLdz$6=scTEI!u}CDt{`g59n|V=Xll2DffyB@cPVBz|>xyZzxw
z<+{RQSq|PccNW3sN~ZttoecUU$y>XbaXz5S$(gRLYRB{5cHydWQhqp;xGZd`Z1&@Y
zpDarmK5EHnTSUXjzHQdBb4WJ;jdA?cG>N&qAx1F&6kw8|(IPAI^;5#{TK2r1qSd8{
zlxD@8NS;@+OvPW~i=B&Owm7^WvQD<u`09CspQlroGOn4O4u&ua5`oyyzu`D5q)0Zm
z9?TW4QX%db_}EvV8v~60-cnG9vf&qvWSy69w5Jqi)5%2KgygX2bsta7p-*PpH0Sq{
zBCu;5;{h<IuhRw7JXlyn8$K<gP?UGeVa+8dWI6kD7J8@IdBI7j*bz)07lv-UvRlDQ
z_Rp&xemqtbajx;T-e4`<k~rWmlGdUfC>xSqS*7mA)u6w=epQrN1N_fSn_J$qe>~Cc
z2eaaR=D1wx@v&tIX_~)1^CakbTey0G4sP*1yzpOFn>G`xTFrUgZywW)xaQJstJ0r0
z-9hoz@MI*Wipt%8hayG48uT#M5kWMQO_EQsxY<S#iX9G#6CY6&p-ZCLgruV1UwE~Y
zAN=UBW2)Z^FPo+@uk|c+R(l~dUd<~;tJl%XsHYrx*VUveH8(r}E}-+0V=Bf`Rgaa_
z|583bJ@4W>a*$oL@NO7G_1&)tD|Ua1T=Jc>6d?q1PtxmlB-cWhwFo9I3w!Jeq$D4{
zSP|0MdjSb3+5qgQ*SRDV&frDoZ}{c>&Dx<*;mX5(19B-C|FTu*Ykj@tR=T61H)5ks
zWzZ`p;d>(4{<X#Buaugf74s|E|6NsRAW?6dKoV+&C}b&SX5FD=7`&?NwEDPs#MyVq
zui(BB&ogBp_E0f2PJg5GDjMs=3F@$AC*n=4_`;;9Z5#m{IeE3*9R7BO|6Ljn#b;Oh
z6tk;1guJuzkVr0~UG&gc`5G_&{uu7h{C_r^_UULz;H}^DJB)Z)de*;9^Af3kgG5mW
zk!P;3x?8^Cw!PfTM^{vej!wbL+(fMDHdc}?rP18geH~sl*)HGgihhCNv|e>_iU+~>
zVi?{BB4N`YC&RVV7s>?&420B5!6V8IO2vt(t$xOp7$39AqzPmwWkl0dDL)U#F7s4^
zi32X{M*~h=2WiPUu%g!pL7LiO_IFmLsW|fS4BLSyN_*pzogoN}j=L4KW8O&r-1PYy
z<JWpS?*@_co8^R++Iod4?E3}lzh@nJ6~%coiW&w^%HNyWbNI8BTy=2XlfLp?K94ta
zUT{kLEyY=4#x35cpxHi4diXURdo=EVzz0bI1%r+FpTHo7o}`Ci5hTSDx-rC3`9={v
z#&G1&D)e^bp#YnaFCz~0u(lOgyLqOgF~^+l?RfCUfL2J;DNA!ixRJEoXB%!D=ibvH
zgT?;4mn@hx{G?96#c8Cl!ip5CsMAZbAgZh6)PJeU2$4Y;ntHc~tR=@jH;wz9@WxL`
zy7Q$$D@;us$R=_;kM6RcdlH%qioYy;$Mv~7)U+*EsxxKn=%xrN3$E+Pzk%F{#^y;G
z&tfwLSS54SHx;HSIpv`lM>UbP#)Rj-OVn^pt4k>vV49Z1AKMxhFOV*J)I~K|j$smE
zgbt&RF*!DE+i=7e^jq74hH+2EiF^uA@L&3e_T4%DdUs$v`OT_ug$A`AZKzZ33gv8N
z@4}WH8^gdHmn{DTxqxH9Uhy33`!{!=y(_Js_pys$aLj<>*C$XTu(cX>+<t?5n^!v4
ztq(WE9>++<YkQini$+KP`@9xvmGKYiAWQx>{;w%vn4eHI<JTv7Fq)v|eD>Gn>Z}_z
z0*4_7*rAkRt6v4%zS`!<gi)oQ-+W%f)ATQ0J$U2h%XWt7oNf0m?@aZlj^Cvs)Rn%0
ze}8fMJs)Wh2N+C2e_Do0Y0v-uVd7DkI$1Ao+;gMUL<h)VJM06M{8CC<=k$yxk1R`)
z1@;;EGA5nzQ?YoW3A}MT$x5=yJt<O6U!$M!qI(Je$+4p=dqv}(>=2h>#?*x%p;N@<
zP`xhiUJGh_^QJSaqH>W-2fs(trk1O6b<>nu^>A_dK6k9L$xH40K>}J+!|!w`_`S^?
zQ&BgSqeJ^&;?X6bChBGNEM^+2=|DCt*HZZDCHvQ>&tEuF+HrrKnNAzLUGPaOYUV3!
zhL7CULgI<K!r-M~?IHroRK%7L#w*qsYmq<{O*JR5BUoS8YW8;;KY?Np5Gh`oT2WZn
zyfZkf=KLpxutA-P6Z_$+AVx)3SdTX2i~QWKV5hVrKXIO;thA1J1hwoFRfQo%wV0%i
z@lv#I!3huv=IQFUUIKZPZbay>ApLg{I)p)5$#zV&hn|PA^FRu1&@)Yc2rv%T=fA_v
zhnCsai3c^P8lksV2$MqAQu%8`-yGP-j*rdD<^>ks87@1F-(Dn3{-Ps|^Kq%;WivIJ
z#j2WojpxP@lQGnK?+3z-7ACTP&#j*P%X-1?l1(g>!7-l2_`4@_<y&>9U#`hk#{?EA
za>K<cstRaPmXA%6&X*`W9R2K_t_b;@;6f}uc+ImEOY%@0WAoLAA)RG-^WtUse4~Tp
zKJ#Fv-S%+ez8_~^3VpSKW85}}(lYvWPf$^5ABMTX4?WsU)O!0c_r4fA=H-#1CfLPN
zX(+*;-^q3{Ls5%MJN=64HbN)r&dfK_VlBUpoZmv6?eL!?T6A;z#0Rlv?nNaK{j=Eb
zCaO|VEAc<+^q`YL30;#s$-oH^Df8JQYZ2;=3od=>->nGPM!b?o=JXA(dyhw&Wq&lL
zTcBwdoJdW!XU`LF;`-Wi$fdKS53GKCCdEcyP7`Pn(~K^VQ1e|OEfno<;&2e`;1p|H
zK5Z%%2_x6y+EbrZl9nn`LN%@EaP;8b=sA4mOWk>*Uy>Ag`1|U1rxo?{RcZ%dfJF>d
zdAq6aR27V3ZmIL}&2!wKCOcK60?oN7v!s37q||(C#r#e42zN0v6I)2RC<Q}^E;>jw
zKB_ycz3~IEJynGf!|F8KsW__B^oAmrM~Z9@QyXwRBYSo^b2qbT3wGZ^P+~tgFKJ&t
zL*cl)Xi4x>`&qIJ^l73e&HmD?ignQ9>V=(mGW*`J>56&da8Me;k1r#AV7YpG!7GCX
z0f#TwHC886-<)UcmA(pdXad<wg3k2jooS<jw4$STMo%ySM=4g2&}oNa%;uo!qwc?9
z`|+uiwrxiGz&+&|I$!zUpzThUbe>uqExx+uYDthO68SM5L@0x5YW|fl_p5R$*C&=I
z@d)@Gu=FAE-{joy7(AOBGh^&H3HIs4s7>Iz^Fsy&$|DB}=`Zg`xP2eGw=F;q^TRX~
zVyszpTPuN^#Rmn{_@R9(ySg41-!W%u*veP;`vQ&+EY+Ms&|9KO8rNz*Mcrg;(u<vq
z&#!-;71Y|$oMenOeV_D7V*`P`9n0+}hb>YNM~U1Jm-;fT`D-(l@yLp_L|1gaYj?Rd
zy!>d)n)uW2$NC44lyXt0=pqc)dRZya)ea_aOON7xlxM~8C#d8rewY&|q-*f+*Qcm=
z(`M~SNzXtJ#53xD-Z<An$ipFa#rx*ZlY(X5&*9P9ho3ZR2E8x`J<XH_02Uti-vRdQ
z4&IT9>8;+)&ik?vVBM8T74I1xn=%%wa{9_b*|Pnr?XS<h&9jDdavY{K=T@`Dd_k9c
z#Qxi10=ErvoVD_*sT|w}{i75AMt5Z+9a|>67m3^o28fKUw+F1;gO(3=dHTBTvsl9~
z$BBLck8-3WrxXwR@uVgQKe#rB@(@vGzUN!c1N*9BV6e{?Zw_j|`)SJ#Uta@u!FV>V
zOzn8A|L`sQvC_(QHM(#E21PXZ88Td{bQzxlALv7A%6Rx*tUn4DDBJNIAK9p#rOGPq
zWSm#^a%*Mr3-7$+Bch-p8pw$4JCz*KIi!ymjTWD<_bhR|KAkJ%ZU3s0lF+GE=d(gX
z$(-{YmH=w)Qd4)rG%dwhVDU2Xvk7W)7fUewbEV}t!6+}+Qgc9f8mJy$hU9tV$tI!k
zA~K27vgu&NwcekEjO}FOcOAm@`7lJgXjU%Gxmj&A7_AtJ)APN)d0u6ikwbh3_A;GN
z$l0<@+4qt6mvb2xaQ;+eQ))vLN#1jiUk~Y(IZVM^$e_;qfZZ;!eyaa)6C)(rCv)nz
z(Ai;aCUW<WN)NW=QXIvOEt^DPxe!X$e?ri`;;Ok0fBb|z7u8ziolB!Q-42%k?}i&V
ziP$Yf)!~UbNyi{CC2&5a-KR1MQzfwAf^ro_2-1$YENz-T!vTx_xP0P7hzAwiHuP&P
zSQb4`(H><F;t=tzex-23fqdlhE*&-Qi1y~sBN{b<fe4L*4K2R^ty%f$M`t9^^1RMy
zlb-H!L5dc69@*8WKkuR^nO}0Av_w$g&8mDuTTA+mh?JW?nV?hLYB`?n&$f$0+j~E0
z_tfD1!6fqqV;=7wdO$Y2W@h*&B%<hp82h;P1@rR9A<Vq~JoC%o6bdEobfUw`j_X3+
zwMz@Nsg957S5+3syH)dg%iS~kD!8THt+sD(DXfWp_hi_LpAbkId@{jjUmIE-YM%7>
zI#U_k-RmidPOZi_vldT5Ds8BUH>F-i>>ew@U|9wd&tn(v<9*(mk}_j(S#)}DU%mAA
zj(jtuS5Dwq$lDPf!}Q~*j^xUB5=yxr8$*%%yBJF1Mg;?dX6gS4MmNnt@jsUb>_DE|
z&9CMLt*`irv;5#g<C>sg8#Vh1qq}j+uz<W3ijA5FczFOW_3LnIaddD}X~$uBj4Z>d
z+fpi7&nH<-I^#6aOFCw41CI~Y;Obb+nvQZh;wZ>WAmqS8WckIX@}@^Bc9u(?;39pV
zIMj&`c}=!UO33gz^|Yav!k^i*oD3|;cpuqGbs{Y65;?Fzn;YLHjCV|1uE)Nrq<ep;
zE<hZqK?gggH8u^Y95uMcY8)#z;P*5?=YLN_M>X>Du2=sXJ)9EPp})lbNn2Ih*>&&3
zG<S9Jl!~v-Zh{<y=5nGul-Z%&W;T&4AO=kpXyUyOVpEEDU2@+46ego?Dy(Iy%%fMi
zv+XXf2z#@PiuoC5nbSA5eY?M#w^NCL&gsr}#Abwc&QLe`Mz1gA;@)gfv0CadEQVII
z8oOW0$cu6DjC`cOxJDb<8@Y)ndrA8w>Y8JbLBN3XQ~>t@E0gWKR?Y){z=<X}i8aj4
zj_~nUaM1^b)uyVb=9JO-7>Siy@?{Hqcx|*H@815z6$wb#{$W5v*Hk%?GmwJd*160`
z(c%ls&8A_}e#S^Ac##;M`Sts5Oi~kin$+=Fyd1W-j*S2)c`<5Jy0@IqMw~PmcA>zk
zAnbK2dRF~!-^)gplHQRSjmB~<mks{K98@hfa!}0w^4tARVVd{p&mqKEuc@X%S#OM=
zS_~dFF?4dmL=7^&5!t|{#$H|?H!E_NSd?VSWo1${6>%Fzu>nRWBSH<y(-r;Y&nG8E
zlq(9B>L=QSh^<(M94~im&-2D%RQZb(<vHk4SJVdf;uRjsxgBbvoi2H>+N#VPTXOvL
zZ8?^o900w$E2pu%H48sNlhbv0V&$AsK{)9y2wbbVUXRLx)oQ48a&@JrPKAPMIp_<1
znt_;+)n^L5Q*Vk=vS!x#HNQd)O&9+5610mM1zvgw?<rTV-hS0Ks9{tJABNzGZPJL4
zzNQV??u|&D&I1%fJeAZV6QM@K(GghA`lWP&0todx49w)%zVmX4>{O|2@!QJ7${~or
zuioAc?R++vzIaGBvlZPmv4}k_wnO^CG=x6?_l~f!z12zWX!9>CixK<zk*C0m&b{%&
z6_Q~)6|I1_H`eR4{s@nK&q>W<x4tQPKG;ZDLfL;gXUll5#tNwZI^dsm=r(Ykp|rOS
zsMEs`R6k2W`;*w-uF#p3%?G%GQKm<tsRS~jyp?$94{wj?tg9W#S4R^ar_wPN%JZ8J
z`YI6~mrO@jhgM?->ys%(+HjeQ<Zn@U-FOD$P5!y)R4gTMJ~Gvk$f1rJvJ$fBWc$q;
zm(~P=oQ<x43V1As|8*`2L2-v%0J4gKyL~r7_H<jdl3l!d;U?#}ydm3?36mD~nFvbM
zY)Gv+{zxyY#Z?_~-~UI}TRuefe_g{$Hz*|?Qqm3$0tyn63eqqjF?36pfPhMOmq>TV
z3@zQAGt>am-E|*-&zsBd^9P(apW17$z1BKxvEiLa_%-d0YWZf4rIj~=lh%9-ea`R8
zqG!+=k;S`+IW25S3d4)Eklicb`bM6-M>ni5&$&Mu2r=c?TJu-BuoLa|^}*eL2*SW0
zV!@<jJLBr4Sq`iQx)`8GZ)zI&%_Ks8cH|$$MAC#)x8)(3;~oIvQPoePVCVC%kH*e1
zteZT$`;)C})xLEsa>D7AN=%&G`B@vy@%++(TqhBvcm_NJziSS@UhKxx1^4x<9c-e-
zmYxhYws;F!?-Mp565ooS&b0G43Ae``xhSgr8R12%64ZNm+k!H1+qmNv^M#OUrtLZ$
zZzrRi;D!~nU2(bZCP&t@1);w95lg$0j@6>_n9f8m=GtSaF>tON4WvpFW%ehXVz-HJ
zRKm5=<5X!)<9_)HVwM`6;*brd$l6#0;Uv@B10=tpV^jLDtkc!(f}^(UQ=3LoevL2Q
z;srGnB!c4BWATnIH)7k7_=lzYWgHh}DnHiv7z~*jVF~)dqL;sjRAMJ|gBM9deCT3t
ze~11v7f6k-MeD`4&EQjrKn$(bfS|*RBhp&B^CNcC{t{S%hyZnWXXPB6{j9W^p%SGD
z$coX@9)~Gc%C(2Qw9m{z-Fnu~R}F4Js$~v2;km0|zkA@*SHik12NDl1FZ-2Rw&;m7
z1Tp_!Y9XoNdc|~@vGBfOIHs?+uOZNDiNJl$bJF<OcjsR?a>n3Qrf%=<i(bh%VO4aZ
zMUy!(dd3H2?<VgCVRG4AkE9aX@M&>SpUrIcz;p(X1y~yjC9k<2y^bH)_T*&@JXwQ^
z5&n-FEHH(9s6{mW{w-F{%XK#H`xS_4`16JS1;ilp{(GLat(REJ59J~dalzD*gDlZK
zCwp$^sQc8IYw_kbp&hwEW|hs#lPdEcS&9+gB`#i-fF>NOJ%))7_>ymCxVK-KDO4gC
zkbd_3FYWtIPXDBJq$;M-_K}d814Y;4<Z05$16JT*8%pv?b;;b(Fo|B#3FP<U2S?*s
zzff4jXg==j8eKDAr-2&=wF$YdEHuTghVGTQW@dGqPSKCjZIHDxh3x=W9W7fmEt8j}
z<p$TEM#DM_S7EBQgat=;IlVhqJ-91Wki25hbP)#(0ME*dh&*4+D_!^X`?g=g_YUiV
zjU~V&%_47#re93+MdjBDjPNF<1%vYKs`{8r_kVukZmM3TFdz<h=4Q@Ucf#Oxe4pRl
zpDI)I<3}_}+#x8afY(JW&-(?<=xb5vt0C$hxVpGgNQ+s8Z72t<auVcx08|VkL%HTO
zq4zu7i<46qDecX;S5pK0av#D-G6Ej7qI6^LQc1yNV|dK4!rb0+DNb4vW651-sjZca
z2n^=(Lgbl`+s#V17h@c>aCqKpMT<ALk@s6J3PMCE&0Y_0Y5t5kuc+K6<)m7A@CvJc
z%vkn`bdZ*lQ~Q9DA=R1cq~Qk8ymhf?R2DY%{uI<-NtVI{8Ln6+UQw=lRdy1Iio5)&
z@=0yn-dU>!Ar9k}q3J@qHj>94C+%u{__l(DNk8tU-i4RdcY(Z%yqa1MLdKMqoi*EU
zd+A1szYV3X7;qnjPz=Y|7Z6^JrYaq+SKAplfjoWJkK|??-#$7c<6pF~5M*1P!$1@h
z8f@la4kKuVB|hhwo$ju1M4-Zlww;H}$mV}otNBcOf7z;|5WjH8rzi|#ol!Hen>YXv
z8MN8aa5I|5_KZ|;=sdRe6gMNn_wncp8(pVL`lZw5EqZXyfrw*GYmm3uHq`5ErGGDo
zoN%@aC4-<Jr?wFn$2(qu%g<ea!8yiSy(J?Q1N<*w%hyrn6!*P1QpKD+*q8Ka2$<2F
zujS)#Gk)>S3?iOU(iJ~!*g!ji)1vZeW~4+(PKV20l6CD=>)=A>sgY6G9mYT_dNWfN
z9t%2_`MynDpgGYiG0--`=X{<{c>>yi?SIt(l!LpOX#*#nbNj$<qW~`<DO=dXcb>ab
zy7pNU=9}9HK~xHL=6q*&6}f7WwgcOc$?<`=E3}PzIKoRUzg#wr8U)Ewvv6WtU0xcZ
zI`ITVMmC+}j1f20W{p8h&Oa+9Z66xE5Gc+nn8ZWXTH!?`LD$LnoIP<s8e)>>!a#a|
zP-A%Fr7_3vK>N+J8_`HMnqUK4d>lENXCk&u2lIq|x;v7RI$Bmm{xO>DmoXaL=<W4o
z8zt+r_^g`}Uias<02*&P#xciM>T_9-e`tE$kY@UFW~ay<SETGpI+~os&q@}Or#mBt
zPlKFK^O#HjuI*=dHmtcrFbo%U%Wnma&7P*}fW=JTSoL*A!Z!CryYut|pN9WVf}Pbh
z$>Z1O^|l*D#?GX15)&Ev9h*a#Zm!gGD>n2d_4R8G9*Q*UStvG*luia&FKGso6%kgX
z`f&d;6FJOF!I9(^=$(o4{@nVOc`MHD6XCqhj%tSz0($f_>fIY!u4Amx8G5gAdjm$a
zV$YGN3sMfl?fC!S10Mr?dkroQoA5IiV%sGeo$<?;?6*5=HoLfZ%@FjZW%B9JYOHUv
zBt1zeW?xKfZIX|Zn1cPs{UBX%=U3tLY;3dQmk&+}E(h!)Q7ELPDc7MxK(o5l8*FhY
zNcBfKew-Svk7LiY&^Z7$WJ#EZ!%1P9-Ii}w)@!;mHnhs$3=y(g-q|s>dGFW+m<f<?
zA3=lMk7Wz?MAh22IH*S>b&S;n;D54Slq-Ggmp7r6<j>szd<RdXm07{mt=EA!sl+Za
zLsS1_Xh>I9@7`R*5R!OMBJ{q1CojeW=R)|U8}6$D8{hPmv2D62w484@`?rS(sSt?7
z!yr%t4!1vZ((1^?<5C0Ygon1BPy+AJm@YnJ4)!@1a?B-A{Bbj7hdaZ9c5h?R9J-H}
zmP-5VsFg3bN=xWBf$GN7@61cW56;lWBu;2t;at$#q~!evn#_0g+>Y0a>DK0U7qMKU
zq6lZ>Q>BwXjX5)_Q=fGR)5Kbes|yEzF)kF%>dVwoF&Or7RZqX4_>4aXU3RW+8vJ!X
z?2%M?@p*#4ywjDcx54x+i6GZi9m}S`WWs=g)0>eXRrm1yRYzyZC4sR8xB4aWq$KPs
zlrg$qE#WBR>cpqA$n+k;-+4=XE8VEbR1JQPv6xU?rY4vlv$5pQR#IT}YEt+pHh3=5
zsP41F087C?CBIiPd}8Xwrhr3aVjzy7BHhDwy%_}6RP+h-jaDx=9_3q@QaF3}jcQ&W
zO6+=mEi4$IO=sXg7Ogm8k2>jh5J7tFu<U!|lTe}18o9_TJ8fa-ZwMGEli_mflRkmD
zRxLz$S77<m)8Q+<qhq)t>Fpa4^V>3w5w(=WpSY$NkZK&(AdB-kyoRBS0IxI2e7?-*
zPn~SqSk|`tMU=nGXiVyt?pJ-eX5r;}L2M$1)AAuRk*rmL+r`$g_gmPg)klz0QT2xH
za!$!(is7GC1TN!0z#F<j7*o+5T3m%~Rx}pCuGZ^Jt-GQ&D#Y+SLIhQ69pz5_YQUJI
z$xe<J)7n3$qguYGp<?ITY7xyl?}+{A3U>phAoEo9C!QOuW)kXoT2-pA&(S-}t+dS5
zhvpy#_5<Ie_hWO+_sYtu>u-jawpbUF=uF0)AJ4ld!xR$^7x!BBw~9@ZM-a3YbWr#4
zDHm_#spHICp7n6xW{K(4<Yr2I#P#joAp+xNu|g?P=^$dm{wDx9>(lJyZnEL&%1gC@
zq;6VN77ciH?a3AcE!i)7yIITQT}$^@k8)65^Xqqx(^~*0wOVyw0`JO699QY%klTC}
zAXy0Ua}pV}saw3w+V+jAq4pRFr!uB^a;3&|10T%!^4;yk)R!Ydm5ky4BK%&%=QKta
zi}VhW=i9-=Zw}HD;gTg*_65te03o?qepgvTq{yY%+SVFbYZ`Ul{@vjuwiw##6sZIh
z2@Vl=s$7U^ig?4-x<OT*sd@>El<8%XCiKu4;%5H*bbl=M1X<hCqX38M$!x{yC*S43
zP^3NSsW15IKYoRP%(a*<*(t)h0%JRp2EoAn)YuE*5Dp9|_PRY@(LIMqh&3@U9qUnh
z&S#sC?S2<Z(-oB*%c-#B5WXYtu?{W8?AJRJ+Gqx2jd2MFSzE_!eK1Hn#A$qzy#@7u
zv9oLmsWe?RaG8mIq6<qEGH2*0scMumkK|oxaG}-zIc?Plmp_+fE~oI?&84Knbs(Bk
zXGC(=q!2{&U_0~BEqcBh-w^RCS!xLkL0fjhe1+G|4(IUj@lb@<vkG{r(k;M!ljzs*
zlj*J5%|Mac(0ZLaA<UaC+RbRx&4`&a+cFVr5r^q<_bErG(_P@u5a*ab>ycB*{Osb-
z;d(h)xZnf81Z{P$72x$i)_OH%HV*;FGvv<B`8=|swN0Y3X_#8rT67dXNdKVgGR<yp
z&6dr$D_G5*uRalFI@Q!QJX4jto-jogE7DiTY+rv8d@xVoH{)xOe{z_iE{7Fg+U=wg
zOYBfxwlMg$gP`y^Qls1KtHH6)?w>F4dHaJ5*ypoh(u07_``E1zj{43*A}>$Ok(2*>
zIIyZ@vV6lIO^7C&tsM;{`>5n}lr7DSv8@4QPrIrc@JX|6L-e@k99+f9eQeRsi8TR7
z1y_hvaIZx@<mUlex$+e6O>}tFQ?0Eb4@e6ED*zr`1;32j&ajCbT5Wj^jeu{S>%Az|
zb?Q2gL;;RAqqS-tar<s$7PkoXg`}rob!%w`b!m+@#n&&DJz%n*!>@F#-4|LP_0onl
z){HOD!sObgG!B93XIbyh`{TEJLCM)qK5voHUL~l3_Rdt#Up-?N)cW93l{ct%=MuUx
zp7VhXk=wu3WIPuTkZ>3gY3hO?Sc(T(mEHwQSY}mN_ss?BpU&|ai13*6n?EpR<|p*w
zAqR<b-`$6fnA?fF8n#TB?{9{SYf@;*mGPjBvf1i-Hjdf4eX-I(sMX(@mX3d#^=jIJ
zo=Yq3lsHT#s(Hk9k!;3I7+brHRVt0xut1Y+9IQ1ZnFrElR8o0LH&U$T=uDBm92Zd2
zWd$zGKh`cS(PWd_xVJmwug;RWH1>JSnGC9Rr{~+IjkS8B59X<o?4ZSKL?p}epBMCM
zNCmYWuRl}lv`zKWT*I)|@dncrhgU*wXnL;q79BR%0cpj`aO7~wC9Om<L~}8WLy+P9
zk$9XOOR~TCZQ#GPfb5a6d!aZhi6VN&eU<i-374Bii}SNNt{#pHOvbr>IR39gDKXw>
zRH(bb+k^cyRb)PH<uL-HqDGM*OR;-!+HxLKVuO4ghKJ9sQ!tPfwAY3-04+*3XGG?;
zBcU#yM@(8a4{RTaf4MX{KC$`yeH2QUdn<YO$}bCA*zxJ3D7|ay?jc;A9GLXARpq48
z5X9KKehup#s7VqVB{TGHEpPV!VTeH#Ij9k#N8Wtj_u;YBm*$}KeW*+?HdJIT{mKJ#
zv!}1^!%F1Yh^7c@xfDk+9UiP?DPgLP%&4A|lfi(!$|jK(&(F6iqNK|evpQnh;Lrf4
z$I^)he+KwDSzcW#SoxSI<!Ysw!XmJ9aRBo|)BEn?x@>W;{#*=bbDgY=xhk_BoLo#(
zg5*tQM#2_#K23ZP?6+*OEo8R8aG{;^E3&lj`2?!mocs&q#l#3-8XlI_NqeQq&GG}y
zdwjZFi_KVEMT_oe$&`{XcXh#lQV~tMTvkg020cKCv+P<({>HI&>)6EqOVtSzMn81j
z8xUwSSyeNao6aG*C|PC#Sa!aA1)eS}=J`p;fM!w53?Nh7oi|HyxNw`K+o_K&{nXrV
z*y6SafS+QwGNtcA=85@!+R47x5C*@67-EUfGkK_uBtCh2F^-=^#b}}ja~UosEUL1g
zd_@0t3{?Jl0hSHYxT_yP4)e|th@X@DR@Q)=CC~bN*CxC6w;Hk@|9Nm##F(~KGF&{v
zAcKX@DUb%axAmPii51`NjnG~5dyvCmGgbHvU9)>deRZ_U!MNB6{a->Ln%QA|;h0Lc
z{UKDoZ1(;Gm>IFo7fX{$Tj4M$8xtD+wxZ=im|}>=HrOe|4zpb7V!=oy>WPfJp}9-*
zq$vAU!qO^?c;IQriI9}b%oC8qdRnk-V^K<(NHdDdmmd>G=(+3+j0{&0D<S!xjr9^!
z9=H^sgmy(1yu?POqp}C_dizi8u;(2Osk<hot4Fh~wl2AODI=<rzKVe~^Wx^lNAysM
zjzUxxDLN}CXJzu7jC11H;#(D~u+g5*WlN5R-)J4*|LSy{M9zmB%NO@r-7naMJhv?*
zXC_DJ{@AJU&efBSXS^XblhyJXUQfa05JZ0cc-+qd^0dyNAd~pz$8<7NHP+K;$Yie*
z?_j6GA}%e1emB#2#n)U<U~A_wYh&u)XAEp7fKRZwI`@EMtKTxS<W}!zao*j`>b5U=
zG*oh#(R|)17>23ySai-}mnq5(0ybU{e87E&Q02R;8_cA77Yy#|+Z;H}<~+w!{nFpw
zXcU5fB98x$$SJB7>+Jds&o8&(Qsi>RX3Ow%q>F0E(H77Bv#*b<sOnZRj@_%q+w$#i
zPZLUlDWjwTo*0lPEWwL+C9H<MYreZ6fc;Mv`n$#DIT`UxRbI>2V7>;o*i~I85eydk
zmsN9o#m@iRWg|Ar_k8?jJu)l@Pc>tWi=m+!=KEGc{lcY{J=eR5U74}%4(vPI3g(O{
z&S2iR?0@<M--^32418%`e9Ta0#!q!_H1a*{ZbDKfsO!7FGCLz_W6S)9hX%bgQxxv2
z_Y2NdzdL?<TL0j*a+0M<gRcKXXp>I`^}Tu?x@P0sH?wLIMKdULyEbG%6Qa#l36qg7
zBj~}f`6&9;CqCJA?p<Ivig{VQ2=mJecWr(X`k~+G>YE2*(a}Mc$g;*=X;9}#&9(nl
z>)0+c)x8twl$Za^$ioWK<@V5*o_dnevY=JA2=!dIdx*cu%B=Gm=9O`wk-HI5rvoYm
zHnMap#ph17e9oDUHn(D=kK>9|k#5QBU_Kr?!@Wd7|L_;o-Fu<lxn1Y~KDx=8LL}=j
zTyB6RzA^D#P1$rgA7Od8Lf#t`w!6NlpB8!SmX4D8Aegh#a`TfJqT|Q%DV4j`#cjeb
z`Jc@tGNmC}QXoY%lJj|`N0BRl+ZRyawaZ>Zi^Iy*H%(Ns42%P?1iWEx)d8AOc6s|U
zZY`;|zw97pqI#`V{X?8rC=VtJk3YZ0G7t9DL`BNZy8taey2%I1eUYB09lBD3OZ0k=
z`(zd*Rfu3N{2pSI7wW9`4n`XoxF~SvZ6b;#AC<MWM8YKXuy?$4*SkdTuq!`K5nLoY
zLEkv4U95lqt4#%<iv3_@V*%(7S-xe{K?4Wx*$9VE?*rk+N^aBMSFb0hZi&J^#;1du
zT(!9+lcY|7VbMG!Iceb3P|#u5wmXjN?1%T)puX#tI$KTcd#98U8<<h<n|21syqWmf
zp*Q&}bQ1kL?Pwtp^!8i+gygLlQ;4QuI&nabh=Fh_yOQ6_w%vlS4vd%k$sE_%Q>yK!
zO$qr%prpLMd-r=jUApUUIdiez=MA`}ET9tRttC}1b6AazQ!d8o%dq7pTt@Mnj`Bb%
zp=K$v8;yW6%iHDy!bX=!mc--crp6)kheQdr_-MOoJs#HGGWD<3f?z@Jfw7ClmfiAZ
zJ+qV*o+}-Kf3_@2^(|BF>4deP^oS!x{?eFcIZ_}Vc7NPl?13Qi6aqEht3Vh!_x*+e
z3N}vWy?f?;71k<CzJa@ICcH7XUKaIAC`5?)gvVUxqAZ3liYv=vYSPfg_quyzUu%L$
z#dW|3H<w>dD5V3}O5T+*jbvF~iE~M>5&uOF!Cgy)EY_2C0idy{dSiMoR+lH4FSSAv
z%ld0+SC85i=WMufouITM?;&_5o>tw*Yy#lZjaQfDr-4<lU&+0(6L6B|-Nr1O;Zn)W
zq$pgjT^KZ4HajjGa<S7+GP<``eS{O2%&nB(N{l2vhX%<Q^>0WRntq6_jjE^O5K-2E
z9(`~>->jDsuKoRMWJ>teXxGzMj2`!+^2R<OXJPIQi9Wx&uR(mB-#LmiWuLaE2@m*+
zbJ#%!i<Fdy?{N4!tLWBQoHC|wAD(%%Qo6&<#AlwTvDQIKs-kToKA-MEC2#Hxagq04
zDqnLK-hR954tRpNk;yabOxtpkvTe~w7I!*9#Jpb@Dt-|nk>Z*DkZ95xG%ILWA3()s
zhW_s+wW=_!vzDuj==>>KtAQ?1_FAh;(kY^M94Wc6?nLN^<5F>Vxk1dDVnUpn<rQun
zJ#=MnZmL|9a^;6bYaHWtB>PdSArt!s7KBLrGxAhJn2xEdjjMIKjP^vz4F1~K{f<2M
z{Jl=07X5RXh@k_+!Cm`6h5ox?SzRT|XQ|HWQ}n0%b9jO+*q^v4eqDE9i1`Z9Ren8W
zd!^|0>I?+UBRNjC7R~4O`1<_=<o4IqAa}bE`{gUCl^20}gyp>GPq`@4+a_xpQx#O|
zhxFs4-MFT1po7mDCl5C8W+sEg<NM4Blq&0E%DY5Wl+Q_YtbQm@{m?{hJdKU_JVZ)d
z-l-=SS!^J}^K?-7e2CcYRBZKU>Z$s!HFD_U`Zg{tQXGAU9aLzCWJEg+O=j|T2X`X#
zV93qe+s#O7w}XeHG+oM}JZZjICp#CAbsU!WCFasl!rA7A-uDv-L}lf6?>Xo}f;4o=
zd2J(frbNWYAcK!%!3;-O@5^o#Hk|_El8NviMSu-R+YG#q!2%5(KzY{wUN(2+E*)QC
zxB}XIMDbQYp>@y?pSNR>d+C!n%+v?dye!tGq;*!wk3F~=!iZ(Ccu5OpSK|x$z>W44
z35TbLD-h_q6(;H!E}7)+!?}JT?}eCVtR9HUpHgJHa5512UXT2&%un7O5nI4hkZbP9
zvpq?BtjtguM{G>=?n&WqRMp;+T$Dk{21>%H9D92`agi4q$Ja3%f&ZUc_wDIB?kihI
zr=Z51`|lU%bJ&qfn@{umP5}WO02;ekwh^_|^yLexR(7M;@DG(nH?Dl+e0ndcqB=X?
z9t2Vu&hak{PJvSW^=W#~#>6(6XWo4N!uU_u7C=H@B9lmY4Vr_kFnwi{k}jSoKni$?
zQo0^`ij-e{y0UX$TiP;XNlcEn6d}BZaFRB79~7ktCEa*53809e9&GRmN}Vx;@mOD@
z4vef0%ry^VxS|^N`S++VS^J*PKYR$CAbaaHc24+2r8An!2YSl>n3h|ej&*I>!fefY
zx3W8igBP_QivIOkM5wi+Lr<*9i3T;^_cQTnrx4k#0-l$}ic0KzLB!g1dRPtQ?cC|H
zZqAMUoT8~4T&i1My7yE1>ZTveDcvJAT$IkjFY}N6430^4dJ3@4+LK`xlyu_!k}c2^
z-nqLLVUMhiyyE3k6??6(XL~;{i2u2#M86KdF-ZfOWaVo4wskFR3#iw1x1nF9&i<%Y
z9TmIYwka(8z)mvR)_HL&{8s`*(_3LUt6~QbYgRr6e-b)J9OO6q-=|eTvGHJIHV5pB
zxvC+?M{R(J9cYEaCSqO8kL`RS&+=zZOfg@VYeGWban0W|XvW_E(POJ(3S8LO${XRb
zaI2e+{ob^nmx%~?Ax7@nBtok@JK9!oCo78&L~_I{M?hUiD4ZhTc4C(YYnVSuF<o70
zDSclFZfCN+HghPBK3Fgl<=GiI!<oooL_+lJ(ypiN*j^UvxY>S}aX~gsFkjBz(n@l@
zCm=~9Pvv|iKz@_dt2hnlgB{-&3~3;nc&e=_JtL&cyqs_aDxUv)QfxT2gY5QYxk&?G
zJHB@c-gDh6oAv}`kK3D!N29uVPgSnX?iF_wWd@U3V@=V`U<?UFr->0-4%a(;GZw^#
z^nSz2S?*;lQY&bmOJi12y#$~OIy{^B@veU~A;<eChUAt#bdxW}rCx6(>NqjY*gkv-
z5#lamPVD=-S*d6z)W0k0B8Tb$-{j|h<%gwUjH8{~@_~0tvDvm>bc<euHfQTm982c}
z`G9n_5E3T)X<~rp8j$DBq@DL)a8shZ>XZ8N<VE~@_9|%C3&H4v6=u3R<x^jTw^3>%
zrDv>ik*(%gnR@u=$=Bm&IO<n^zaD+U9;a;`;r9lHMC<}U)9hd{yTd>J5%XLru~*ma
zpOF~an<$j$B-v+BQ%^2*;tY@an3-M=gQ>z!q)Yw8;i}flG`#m*?wuT8%3~@b2s4%X
zJOT&HLURKustE3OV;4k1fU#Hrj}zal`<uz<(s=vu2u}+80%SO6w(gQO#)aKeCaFV5
z)-Ej1SJm>|@Ou?7bGy5*B)>AV7aTz0oS7c%yzQLs)}|Ql@87%?1Alt7hp2S_g0Y4R
zOl?T?X+$1A3Wu4oxD;x@#o;5r>I34@>nVXhy<beD|J-vwxQq4^p!=c?QFMuxxhpr>
z=CN@hhuAfcGn~%GD?4E<*so|DZJ=3K*%-K$k?Ul=)n2in*OGR!O!7LC<|Nfte9a;L
zN;c-Vuj@Ze;hU&{!1F^0rLLa}#$Uvr56`Ng$}S?cJGU~|+;2<UGUB9NMEhaRM5C|#
zTA_NdOx>vo5P&#=0f`ncDscW(N6{ySPaMN@XlP)_&NS4Dc2Nf0BMol1Kc<t-H@mfx
zvBT*^(@&M|rGtc^@LvgbeyqigD>vj9=Wdg+cOLfU&ncF0z+%E;RS9@43K;jqA*9(M
zrO$xU+lSvOY5&>y=n>n&QQJsiRKxX}M1FLd4aWjyC}5P>NFkd+cR0Wy&SA9phSrz+
z`s?>>&a~vhX4B7QBauEnu)0ME6DlSn&oBOBY7=q#4U9Y^!J<7WLi;QtQgGsOAhZ7Q
zna{!fs;MpDrmz$073OOE<3;|;h)*@RcPk)Gma&h>BmTDS-}eXY&GeIZSb))s35BEl
zE}T4t!`;@b*b%c_>o^5aWd7uDN?s?m4~Wy6))pmAikcI+&LCdSuHK2S6J^=hFiu_>
zKJSjSfV}b*QJ=E=)!Z4is@F~j)UMmp@JyV!YzxuelDTNKJpNW`r>%3h<5Nl8Zro|$
z5)TVXGnZ>QxTx6ASQ(3?k!Y^@TUd!0rqA(1Pi19IgJwnyZ~EFaYPQYNS|;&G%epyk
z3zn&f^DNpqrpRP!jue!pD^q8_QztdOl&mXW>#a{~>HQhJuNzzR`{%g+tCgqTV1QG-
zIn#gdoc(6nT07}k8nkv|PM++3;IFnQSpR52+`R29lccxs`9;M9i~BhCzYAl^hw>B5
zNnn@mI`SgfK&y``9+np{k%~c`Ma2A;1<y8R0ap3(a64Th$N->V5q|br0W-AFjb60(
z=Ig^#Xcp~_iyPqsfo4l!^T05nsFy*vV8naB%ByuA+$X?5)1Z?xP2~4tOAL>LKYiop
z8!^l6YK>!05eh@fVf`hOpfRPZHzlfEn;?IkyB(I<Od-)vPQRJS`(D@JxdE3vNcp0x
zuZc0#Dze(r0kKCAR*j>@>&vYa`E6X$AFFyFk|#st5P6z$>*j0#j47-%$Ww~|Iy#P^
z6Tno<vqQrP6Ryqt#X85e+O2A<zq}m#-Gg|l3lx=r*BGcTF3qez56$QsQozQ{FeFOl
zkFC3ZUuF6jlzJ;-hKfjLl*ytO8xjv!Ge-P0r-MM-1n}~rVNQsO5li=Lj3yn!+}CHo
zoAbU4dL;g3Fb$Xx8Fo`efU8|p!D_Q-=k2b2<hwjl)%=OcII7KB0JP>mp9Oq*X4J1W
zV_|})pbKvH##WP9g;K<Zbi$??<0U(T?9z{DcQ!!yYnETE_-TS&1U@|N32LYXq}_My
zza1QKzqoDcc~*u0V%ST71$j;&j{*CWsVj}hlJC$Ism`Qfy+sJQT{x#Pi}T7VS-y^l
z(?o6E)9UN$*jiwO4>;r|)s$I=M+itwN%+_r0XGM?$gY8D3M>LkNWA0g+H{w(x_}P3
zhuE{ei&~*qUMKR$sF?pA9<-|{{ZPBFn$E#%jPVQ!jIHRjl75evGwPbe^CQ?q(gTX2
zP^Ux)D0J*pY-fq(&x%>G-x=Zy0C372^NL|%6EXEMJX3}&B=4>)f3nO*J%0h<s4^tK
z=^ndoElw)9o9eWABfphX7SvS&oS^LIjYX-1BDxIALV#0Dn;NeXC<cJN;H2p;U5>={
z4xE4VSDAD=^K|eB_Z`M!e-wiWVQk3;KBjo|kJx)`C!>CvYo}BKknfNNIV3m<mU{Ao
zF$ja$LC+q{Sy|9xH<mDJv<Hg)D_kH<cSRR$Ya4s|=?~WVkJwE*eV*!%i76UO^R@hK
zhGI8JK~I<eR4E*y3fnwX{_jFWftQ-sBKXYrTW7G!e4S51nswU@JMj~Sp1iN|EhwTn
z{G^UauXdtp8@$W?Lf{THnF|1yzv&X|pZa$>n3VRWR^CQki+81-&{E`=BHQZ+{-@Ha
zHYD$pcr7cKw#eka@W2*R+;rgO-euv<KnDCh26Sk2RhI@-#?JeR5Dxd!u;Nq_yJ$18
zBFuV7mWk<s0S5&BxJTOeXRtYGZUK9fI@th|t1Mw#@Bp1~3KPCc!VU|PEyJ1PPyxdv
z0Xe0Q$wa&^Ahgr?uG2hJQnW89y;|v)ww;eYo0_J_<Zw{M40|cbQcnf=)E-0~AJP7)
z+OZ!5hwv#GU(tzD|4U)MiIN=B1wB*2iH?(h?%kd+@Qn#Af0J`@BiHwJ5ZvA7OFo#^
z;XqdHFm%w9<%<25t759vyWFtPx;I72wbJ0?u&)M*d#*LZLC_&iQKHSxD|qmUq9WM=
z!gA2k_xT_ImMR-`;Rl=!=x`@4d~_LU;CXtBKoA6W<Si|EeBJF{*u%8<mQ<3>l<4x`
zhX;K5aZKMJr#^7%kMpc0e&&9@%mmrCIJ`5!Y4pGkUV(=aH{NUh8U^g)HC3)Z0SQXE
zP3`i60NpG^)BkE-_by(Uk6&_sXnL2-;(fK>B8O76M(>NUTJi|;WWofUqE@@HsOCzu
z3j7T0cbH4!*FpdA`&a=acpk$;M9}DgYtfz!afQ@`JQ!`vNw7E#{)n$mST4#~&Fc-q
zo@5;AUN#t&p`>wkA>dzT^HBCVa14U8Ra*;&=930^_iQYFT$l>%i7lbY2XsD}cTIrj
zz`Ad}_Tv{K6`M=PTYh=&-Hj*uxo{}QLvs0nZGzaTnBLBoIz@^KkURU;i{YHgdM?2i
z%CNkm9GIOUE<>!0X?&Dr)&_1j>qu4{-1dR@EUr!_@d~ituYu@}HxF^txjz{@*x9&k
zt{BH|pKJs!lxzb|89;$+Q@Ve822H}@yp;WlZNC!!T!&XXs7ntS&yD!%Q9#@jIE2~f
zD_=$e=nnvML)3vkIr@L`%vV6DF?MZ0wu<v(Z!M8e!!`s7gDe$FJ3#?&1SIj`_fr&n
zXR_Wwz=2r^sd<M7`z+SBeF5J~baZK=1+)|gJN#wLLhVDgFVje19}%U<aGX@lm4fo+
zTKwiARX-imJcB4VVq<<NAN>O{0M^{v0x9@^&dpkD&YqcibLiHBpk+rt1;_}?Sh}=v
ze4AdJBbDEXVyX7Np9-UPL)J{}i#%Ve0qpUH)a6_tx<!Pp<gGhiT719=Ga^PG=dDD4
zfnPuIp@s_`*UMrK-LQocE65sG?MER4=ZI@o?XYTAhg8iYvJ7&)G{~@VRY6AAcRn{v
z1<oiQz`egtaF-!?w^)2&`BPY*d|FTj7xkaUn!cAMP{+~aMapk1k1+pu!#jYi0H&`h
zm}g$cDFbfTy*5a>m0z#@n1BCz-Rl~GnI!!lcw(sJF>m(IId-p8_Dw)4))dQv{;L%4
zxZr6Qy&mZ?6E8fJgF3bQwp7AuBz@NMWu+V(%5#k_0WTaRX7^#Pl)bhhbxq@`QWl^^
z1VI7Nzi(5@N{l%|?QtzjFRe;2!Y1C`S(vs3zAg=UyXF5bq9N7UB&*livqP|Yn<KSu
zvptHV&B@2dRLb)O(bcn@09C)fx}l=$CK)|QA-ACaD_tv1KymdJ!|o$mERP3QF9u?l
z{gPF?>jbFYOKAlhb(;2@_=i|TZVonxShq5wnV6*UuzxR;n#1VlRV4+!sj#nn`xEN~
zG*hnle-&|~6hqU8cWGZS!1LWyfVx3LmytpxNH9b?s>F9G-5Mvgu4$(rZ6-YxR)M{5
z<FyGhW$XLWQR*e;?hYWPX$vXNXZ4mBcF(R8rE5YdNZXczkR5gsGqhkWCk&?=O&7r^
zR9C~B>>eJv-xe3#UT+!FARTwXe)^w?A2n|}vWc_yECYlqU%n1l%e3%C^+&OMZs=ER
z_5+m$`n8KXq$vIIhxs1v1nrMq)2Ll6e-K=O-X>?{bxkb?@SMkN^=Fqp`!b`dxEe?^
z@ecKz0DJSEC)$^5wd-ks#ValIPj;gF^=qs<JEC@V%zqDx{K}h&?_KhsoN-U`?yS;y
zq1`>3xRYR1gPx4LDy$FTI<*$n9Y~dh_aTF2&#jfGn;*bS7~3o8-^o(qbewq5+Je;;
z5puLa${cH1s>vnMF*Cvj>88q+F=yo`-_7)=z3+YmTZY7<FcT?aO>`(b)$|MdXqZa}
zbrv8$1B4}HzVeCXMHC7Aokf+n2yOD43<<ePrQmV8o9HwXQbBQ%mAIrS=7hVvc6Fft
zV^)gzL7a2%IDg9CNYF5Kbjhki1sdRoAhrpXNHrU81oF8AwW3!RAZ6T@1=RJ!iY;wB
zk2os*jG3s2(_>TnBxGF$tE}Y8>&XFXjMFN}K(XvexOfjZFTpudu#^SS{2xAs9z9qd
z4jpZ%2ZRyj6WZ<88tEbNX)1Q*>40)Rm=|}2B-9;V!^ksboWO~C4rufHtW9An_pxGB
zY*S>X7jcp?#s*ER#c{k6o6)hPD>d=34-meOhc4+E6TAUH&(%WlYG(YnkQ8BRbY>f+
zf>l}1h%5iFvc3zrg&;E;=~lo`s`k!B0da?bf?|tLop6*F9btvPwqi%ySe%V}gR#Jt
z-}S(1c4!ZfhOn6Z5cVSw=m;!~QVN@Zs9pvAM>62=45%+z0(SSw@@3J!3ACIVT@EAw
zgw~lWqGBiw+nl@hBUSl4v*A1;1MVQ$d7fJ@`ojas+>nYY_|w(+UjfeQfvpf{nfT8s
z#379MH*9U~^?xvL5H1_6_<L?*E9Wz>5)gDBs@WV<uHn?Qv$UkGEak*g<B=B_t!%qy
zM)o(NfD9s50j#D;u4*+zRg@uO#N)N(staJ;gz!a8IeJ20Gb{bDw&=aqt2<}aa?hdP
zm4dkn6WEQe8<JT=Q+j*Z8PsVkoHHSI&`e?~2?KB9whY2-{EdNV({Fe<qyudhssyqi
z@Os+D0CDXCr+`;l2*#$J$E^f}#O1>dGn=FDM|b9652N-z#VJ>i5^3qRTJiM>aji^G
zkpe>+#UKo-Lc=2I#6t$Acc#zT+jxt3k}|UU)SLXk@L}7OM(5t%9lueDt)c0!xQf)2
zOC<;X$&hp|P&I~5;Xmur8}e3dw2Ue=@J|+!em`DQ+Nxn?xYnI5?Yw-<Zn}idc7h$I
zL@72uvbTIj3QMqgoR?rn@>>1}X5WsL8g;63p!|?!;UVU}0jOb)yNk#`UFqnK>JrIV
z-lmrF{KZlJ%zZcR5D2;<7E(E0rg5BNG9z;S2xAU^G>1#%z#Cea%bWI2Dyk?wz_HOg
zKQc@!NcjZ6oa5z;x9_Ua!$l6QU$@=X&kt?;UD(^3XYY8PFm@m-g!g|Q@0UeLGn26)
z?y6)^=jI^-zXkL@0(xhF^h7CHG`kw4uy62NR3^^vb0XkgTwHslW>fT6!f_r;>D2re
zp$gFU?lq0^e{EA=^MJI<{0G|M;CSL{J=1dlY|%mRhKV`0O@UeiWq@PI_9EARg`!9e
zU)(C+l{l|_?AuxmT!Jmn5~{&AMdvzfq0R239CelIJfP*Aa84n`0RmT|dX<NC09Jx!
zIkq1<Sr4Ve<g*ukV&j&{Ro_l@U?sq2quZIg0mz{~O6wzjV{T!f+#W9@@LQBR^>~N#
zSG+;Y5!GtD_8$1SmwV|HkZJe_$Cx>pYJ8Z4=0K=C76l6BFy1wE1;@}v%?Ef??16eV
z*@nwlK7@Y;%`tB8gMKbF>T3^FS~r-TAnX2QP&VJo9+y06YG2~;j0^R=_HAC#7cfrW
z8H&^LCvz3d=T!NnkN)k6Om~PB(Kmq{=(L$V;N=DWYy&>|)5U24Eo4skqiB$6L>R_|
z)<=Fx7hsvygK?R{C$|o3UmV%A;upf$dPG4p0!s~h{+aDW6cmS?+S*22;vQNZroh&E
zS#V{)8v6oP`SsDpVtv*LxMhNM4KP*t8uok=wn^`%GaQO~c_%`OBkcltM0zXrh1z1b
z1ZC_GAirZgy<8t`ImbAhISFRO{T6tBL`xX=Qw51MNI1pqSd1xuB%ZB@4<Z6fV&&wm
z3>!OZ6c%oXZALTV_Cf)K2WV#CU1SG8M@Z@U$dN|qc~xUe74E!TDq`K-U!-hHW9q5Q
z(tK6DfT=3^%u{3G_`W~A@=ca(D?=V5|7nq;0#@@4Wqistx-9`RcA%}hm?nh=<r5=~
zktjWMjw&0WnlKB~VX(GpnJyCb`4uAsZkeG|#G;a4VU`vYl+3HCG=<>Dy9tz<<S%b{
zi#8-^8<W`_lY!S#J*Xv_Ge^5Q0G+*7U)DvXBDTnO6M(1z3}{*GMUr8l*bzxjCj6qx
zoR4V<q?e{I!55D5MPeeq9M#1<rA{o11Ugy5{<1h+>+-_`+Q68ZPay>#PcqhJ(k@5y
z+lDFsF-y7~AoU2y`nXX^t&gtE!9W1HDX=Nw+e@+}Z@^;4uz)VJQR#1kU9NbTo=I`F
zfoy;3JT&9b7;+5<V1jIHaxtpceaO3}ti5|ODb#<hl=SkSI`CaharN4Dy72+?B!d+y
znwYBaI}<8(iqM_B3t!ru`r@XPxU^4)E2G^Ysf^4&A7*PvOP3ckX2VHg(_7-r-5=pf
z92};?6HSQM!p+f|rBPR(Uko`gT?70eka6R)hYuM4!j5NeXRY+V{rU}v1w?E6E`#5%
za6NiU`GpQIzpWDxDr|d|Akp*?KjDxvc7fueCS~v^(KQ6=(w1Y{BdnnPuJ0vhPoqhW
zrmrvqqw;M<vTST`V<zIpZET4=hPE>>pMQoWiBAjZy9*-5Y>v2zv+M`q^MFetRpShx
z)RAe?`k=B0UU^mWsKZC*Pm4A|K|)fYzl1dP9{-DCdN%^sPg{Bw9m1KUg&>$_t_CW+
zMO${B_w#g$xJn4PT7~O;4r*ysw$;o~*(J^d6i`Y(KadS6IxKu20!`(t?kLN@8pIGO
zx4cOEDQg20c^ElXb$98+E@+O3#{PpKonu}3MTF(oIy3j)PH1<_f<C7NiD%G)8)NU!
zHLQEwYL*dr6@5$c>&moXVoF)18Yn;~YblJlahZVJJ>Gd&p$wIgmTe)OmbAbn<@@gH
zWPz}wqw8gHtcz)HuVXzRHvV10%}2*3Fcqi$k*m!4eH?X?G4?{46it70mtLbeHeRAg
z0byN1zpW@m{(A7dWkSOt;Gb0fDmX2z{GY<37t(A0c)pm**dr`5b3}7~$283q2&n;r
zu9kPmz=OQvQpYm!Mr*%bmj)&%ZCe0?A-bW26EYIh&(lvG=p@o~SppjpaB4h;0ZJyU
z7_gOyn8%6L?B&o@p5oN7vAkco3kg{}xY)*d|0o>`GKnyK#DDko@N~25I+T@NWQe<9
zcvAED+I1wE>yk+}JDTS}3eEGpk_Z%llq*;3&;|WTKViSpb^5C55Nr#X5@Oxv9*$@t
z&zB|ZNj4#mrp~K_c3GD5igPM8+^r#FcTVbE-DtV%H2vm&jv1^1Mz#{}s!1R|2+-+&
z`*U*XBjQodtDa)efu@u5M3OUg$hi(J!LYP~YG5xIFwL2lqbH2LQ30(?s{Nv;vy%F^
z9L=p(RJ{MThpr*-eVrMEY986|F*H1Vt)QYcRz&A5j20a>M**m!Rq;L&b)zbPfrbw0
zBJjjGzBYzu*3ZBH6uW&(T$wD1!hId)uT<|fTtPP`+GSRl=p1{ZiUw*`7%Q2qXH0&y
zj*bU=e4+vF-ZBFQ01zPRY9(NOtK2zNLck}dB88x`G895=H}^zAr4i7sacZZgnS?4&
znGF@G7`A#jvU9u$7}hITT_!^be$KlEeufDrQ*c>{1vJMCgBqF1Q+e5CRU6xCd>@bO
z_=;O>3ZXCEa4}vk=e+C<qAC>MrgOt?dGcv>Ja9#=`uc&By^5~NdU0)&P}4F&*yR9{
zlEW++_wTa2i6Z<IF{zDH<f4a>?i2!k91snJb5+0{%2+IRxN9@UXu(_Lm+Bpp6dGE@
zbM$hUyA&7JZ}O-^)CWw_{8V^q8{Z&?g7`Rg=T*orMH$@rqIVGSzWzclAHH<pLYlOt
zvY3;ywXmbZTtaRJUBQNZmaf9#$O`z<hlkx-x`8-cOhMPfIQi*rMZ>QDX<(Kc6Y2$C
zI~QyCEKaRI^`?D5%CET8*_r)u7=40m`upN~z&lz7Us}-n9Jo<kERbalfO~_xl~?{W
z-A1Gzl2ml;{M3L2I-8IZm{b;CFZB?PhqiR{9RwK&t%oSS1IZ7#$_%2t{&y8#C{4!<
z@Mntf@_R``W&o?3Tj@0p*ei=_oHCj6S)NPHScBnl?%nCzr~ca$${<7=p;)_LBHQ4k
z0+E9WcJ`1@)1qAg^2`Y=ozNIFq2K5xz(=U<CS9VVy`2lcy&ZZn^xf!`Yw{pwhIh#7
zd@wRbx^^5gyP!ju=Vg8e%qlHJi9#_)JN2-5HH0L8QpjIrww~{Jmi#3+sD5w)b@nWK
zz?Hl<bUb3lt+6GjgwXDZY@wyw*Zx|-+VJ&8>U$xO|7O)R-3YD5K2BB^VBVkved`Gp
zh3Py9#JU;O_}BA>&*lV-Gz(`px*MmGl32~XOHZ3ILqRZf(;2Vy%|W<iSWpHB|Fs(e
zd=zCgnzjqAIJCSX@Tj_IZPZolm%wmy%FyMo1u@-#bAq>}<jX-nx2&C{Fria;Go=a_
zX^D4T0#1d)h64D3YiKuq&LzV`C_ec$qp8q#_AsfskR-NWd9UJmXQKUzJ02^l`l|5I
z<y2Hoe7u<|?%J+JkjmcY#}fV(>%D~L5K$gwMIu{i8YjeiAP?whLan)TZrR{;y(3xf
zZW4_hQX|us+r~ve5wOT6Y<HfJ0;FxZ+?n0?zQ!zG`s>RR)X;KCZ9{S>g}v_`1V0W2
z&2;P0N70167=FIWbkKO{_py|F)2ffaa#!T&cBV^SDyzj{zBh^hrtl5P1?Ktpki5Ym
z+D70@cyUn!@<FF2_+EI)sPo|p{`rJF=&k(~$jo`*1?)r7<lnaXD7ddpnP`61-zFFG
z_=!r;{3~;9;p$h<53ClQxu<_(J!NQCY}G6{KFvcO#JR0Krc9u9CpAp@YlzRujuG15
zwun+szYygbh)}!Ap#Bvdp!8%Z02#v9<BJ>ZycN_31{iC-&kqv56|=vtSCRfJJtj&%
zIYXrsW~0m`37`hEJ~o(t;Rzu|tFX=ukK#~S#Pf*n17>6eOX#?D@6KF8ArAYR5EzQO
z4K=`N4n`<rd_1o0jgEFB@8KE5`@mP#^pn&Waq;;Xon&S>^H+<MblYXLjuxu6@8~0}
z|0zO2a!lwyZGmJp_CV43#Uinni`dxVNAH1P4r$6y!&6*yJ>-g5l^>&Qh(+w58J?1q
zNX@SR^BDv8b$rtf@y%;hc9Op2h>6Fb>D>r%<>ffvWFc`s=l9NP+Tpl>__*8&i21w*
z@;Dz%4wPXjP3MOPk_QG_7zYQ4>2vmXS*18JUt%cI*s%$aX=qr&Q#g}4M7>!`m32RK
z&H6<cvcarUSO_b{;QPl1_xtH@t@I8STJG)CJf^QpN=&d;(yB+6MMr!y^1E#zCh#rE
zH!3H!f1D%&s0xd6F$zz%W`B2n3OAjW@AhjfjV}$StD|a#@yY*41$Bev7-NH;f*Cjo
zio0ge+8s=9SA8B5OuBz`hVOEZx|t`<90<mV;HS>x#fO}-+8YejpKicr(NW7I3D@Oc
zgs&am&W<ixD9b4(t3Ol@43;r5ZhvAXUJ=60IEi{9h|rd(Fn&I~`+p;ezdZF1ODi`?
zFhO$Wu+7XWuz-XGdP$Wg%+m$KO=~Y`e2%Tk{&46s!sNLmyj{KIM!?-2{efoOmufGp
zqNiDtJ-Oy32BJR2mPWcEPX!}oSSf;@8gQis@ZFPdSx|4K$gGdBHEwx`iq9CE=IG(Z
zRzT}sZ`&$-l7qKC@Yx?&n@Hal<_DEzRdqRD^`6*-v6vtUBGFeGFlFSFGFC=KZj3B{
z7#MV+g@MdXf;vYXa}w)oJBszZ8!~7qKd=V;>W+vd6?!$C5E6gnpFBnb&m<?g+JoQB
zg36Z!K8l`Va=W23W=9{+5`~)-{GmGDaD9<eqq$N(C%aC%`Tow*+(Qpl@4>H+C4FF#
z^cF>A@c$-azXy^ZKs8a&Byg7Tbj`JqWs$C3QFN(G&&8Jh#(YMzv+BVc3jGndoM9|f
zN06)9CrRyh8OL;g#S>)LH)OtVbcDp!r+LSB)BP+lZgAJ_i@0$AEq&n=j8pwY62IYs
z)XR4UDl%)<?96=Sg<-ek-Aw_8-{|*g(rrqVhnnSDA6}*@b!n<EGWV<Mo%i2>LtC$?
zC>)awvPGVKCg3i4Rd6yMHPw3#%5Ui?bki4WH~alEZZ84r{>t%<-CM@k`@<wv>@8K=
zqR-C+#i&%4VB?~njjLme+z0f|;)jFh_X9hvEQEP7uBTFEmVO9j{j!+HsZ+WZSZI>&
z6rW^S)NLJ-neb1!na_ZIOz=43hCTeVI5ANj(6<^HV{a2CL)Jg<jz#h*=M!l5b&tS?
z1njCc>+~}TSjN$ddFY#WJ4#O|`{oz@Ohrf;0!;<4TisrL-&jf`Ncs?4C?g0kwQ2VI
z;`+>~LFwuo3w2FHGv=tK$idfZ9N7029jQN#`we7nx$WDSq7$3_ASH<)UwFdED^0;w
zsHm-i6HD?B<{3u))BGl-v1{D`@i8iV?t>o%3qkojokKphHp|aa)A7wzn)hJTSh0(m
z@)ul9Bv@q}v5RWT+%wUKOjMM?dmL`Lo$u!$hhgWwS3}DzAuS!B3LLfv7APfN&41qa
z&y-5?pm#2-te@38!sxVO%L>B@0f`}0e7u5e6=jNB`c2I1!we92d?R_9YB<oa<)8oj
z8!Pw6pGoz;ZfN%q%=*cunb3iazz5d?(|xQAruJ_>oW$Jc^9eW{$pt&QLJNxHMnZSa
z$`&PEIuu9wK@;0YgeT|KOjMTQ)0BNoi%?)`R!zRw93Dy)@__t4u9$5?UP<qbERIm=
zTw6+HXwIfSuWq5NZ<MW@_SCDXlGzlL3|q<{+069=cPYlt^{JKqK)grZPA=~9;CswP
z*}70XIM!_0tK6v^w6rIGs0uBLeZKu$-W^mBmv-U27EL@S*TK&%<tn)?slG-3^5SHG
zM$5e1UIfDFESLbiM0zhW8@-MhZ;;nK*a>P&`#ZJ$i73@M5%XVZ!WZ-t*yl=|lUd`&
zrcN0j4E>w*VMaLr_YggLh$pxFbo3naPoq80M@7N#g=5Q*TG_h!8v;pRQkKV#TvfMx
z)LG?ob246A^KfhL8JWi3ViIe!x7Y`<TF%q=odQlLtW_Eusc$drxYI;Pb^3hiMxxYs
zO0u%P-8u#dRmDA>;JuV=Y~G(<9ir^}<(Rr1abWU%IHG$wO!6J+V5roP>R}`1cW=0$
zT8iSMcq;cPK4SAeGoEBg;qg-;xz3QiZs1)pN?LXHsNum5HQnH<BWP&HW*3r~ts=6O
z>oB3oG1Q>8D){_tchl_L_ik&1BOU*zuiHs>cOWXf^AiKwX1CqjbhaUd_1D5of<^bA
ztv!nG>EzDeOH}t<uU~4397u}kS4X?ExZ(eEXx<w~r8}E(vEzxkk=sY#sn<=>*cT>n
z)`D+3&D{zLgf?;B(iui1o2!e~YwXyi_<G8{!h10EWb#W-YfMq2Yfa(vb4d!PG)WEJ
zO>;5eV!B%IOb&wSof=?1^(*=zlsQGMeEU`d#uu5t4RduRvOBQL{$<$by}zK?Ctwzj
zS^BVQZ$_4pzdX;44gN(o=Ww|p%OCS$v&xrKkApfqo<RBl&Ok?67vtrY1a)g{ts;qU
z$493^_tcO=uB6jRdf8WuXD=ab77-_n2cM#vtkdyRJud7#tUFZ>9t*lknEf1`-67VT
z8$UT5e~S`yoSZJr%0X=^j@Wpq;jw#OZTkvWYCV1*w=eT;z1NW{^*^VkRVtTY?lWg}
zxP%8q+1b1c_s;p6m!xCzXFF%3gwr?R>lY+SY%q~wrBh2Yy@@R!WCZfqje+vQkML$f
z)o@tnn(!nIypK53-f22lmdx~wb~C|_wO@51wm7<2k==+KfcC2?tOpE8y&^TZePb!=
zlBFx?Gi_Pylq})6Ac~sbsIK>f)slfvpA#!mL^ml^1yp-!;9aC3sP?9A0qpwi|B-c8
z0a3Qm+V&F@RFo7DP`VM2E~UGh0Yn-Gkj?=qDFNvQ=^lE>p*ufv7zPIE8oK*`-TTCE
z|0kT!;(6Dz*1fKKJzd<RmgO7hlc&*%kM9%Hh^aWAhs+5Hy6i0H^k5fcJfB-_7*o#*
z2chQS{aF?P=k1mG;kfsM2IjpdPu*3L399Ui+O_s3%LWN}A%#9A!R8O9+-e#6gE3+4
z_Lr}G3Uok<Mf<mZFTMZxRBYT-fR0AAH^_DC7*l0MlOqLlxm2d{xy^uQDwO<mTljpo
z8Nkhk+U&1>7#{o5<Br$YpwK61bzSs(>Q$8L=W<ivn&NRiF<|AAcf+^h&R~3&#?+CF
z^rXsb*tmX*W$(y}XOzQrFox@N+QL)T+YHZ1#<}FtFXxKR4mruol*KXZX9*L1H|ZU{
zb4?ZQyt{<2?@@TRo9De2xpp}H9XoijO|x9NU$*hq1MdN{<E!l2rQOH-7a?nYn`DBX
zFYFw7?D)+E1YK<11<pS;$@Vp^+BOZ6pU~T75a;xy#xbJ!Uyg9^KkCTJw(leR5!lP-
zyMFasM?HDs*U<-USs*)dW+~B37)RezNqV7izW1Mx>07o+$olHQuM`?MdyGPNOf#_~
zfA!ac?IVFYxLlRpUWMgc0vr-d0awFrr6szxz&78kNDGU(<H#$`&pFUgh)W(3P95*#
zDFc7O302^0O+-7StlG=<%tbZy&8O6SDIr-sD5-$&6^__K^Op=VDt2mtv@7}6DO9{@
z&}J)D&Q8kUQuY<RA0q>d)9nT|om?7=`o?F)67N22p4)Nm+c}|5(`~)3ts`-ooZBj}
zT=Lu@|Gtf;1UU{*v>n{Lj_ZI@j2aGCtH-Ao=nE%s(l@vbL!|F7hWa1i6X0+>pi)W>
zoDF*Ebut<i9%tSvaFOh`m(SB_ZqeCaUj86n_J-JYwd``(HUd-IQMBNe7w*Q82xYs&
z0rc+6(yM#=7p%dG`kUx6XY*3t3#h&Ee?GU{yVxj08r_PQ&1t{G7Om+VEjWNg>VB{*
z5@8D6Mqj=6;f;<ARqmPK@7?G*J`4%eZ&45obnvWF-iDDW`%)-NI(68clJ6yVK-pMI
z)xDfX7m+DLBCYx;Nj)d-y4|h0)Aae%hJv#h<pzJFYxrZIs0F)O#a2V570u6V515%n
zD-jHWr|#;oO|Gcqi29a^+xc-}=!vw%H!gB0*`W|CWBn{NWH2aX(6C=(Hn_2N$F%0I
zw^A6Waz;H*pO1hjwX*gTUW$#gK56lBi7^(Yw{_*w5O_vz0zpt^O}8(vMqXkEf2yw#
z-9c|_+b4WRLfP3dYK9*~hXVTs`Mx%kjAvPp)oQ}F=B5)`sGWyDDLno=LUA<A$ughT
zhx>g&iQd<p-em}Aw5?08ejoN0XVlPxn4%db#N&R+B=%#LOF9A^Rn4I@EZqz%H`(c<
zI(F<q8ckq<^??z~6Yq=4K`Ym68%=^@ksk~5NZWEp-D2V4W<NwrCraoDLqRruR|-!^
z_-J+LWi=E;>0r#uBvTr+tjm4=zRh+vA1Fbl@K}YsT`l-ol{Di=wh4luN1>0q7uq78
zCAyh(XtLH+|GC~gSd;HOYKq2<&nxELH(Puegor`{<<#HIeS6};Td07|5yw%gRP#Ke
z(D_fd5y?C+K5(9_ugye$S=IRny1!LduRy$eaUZ+eCW?VJu?M5wEfwSqto<?l=BAux
zlG--iTHHA>gPgiv$?LG^P;vkJTl}@sm-juN2wN5U6nX(QB@%6Au$lW)&K>$SvRcr!
z$mN<a+q|-S^dlrtXYtW|AG!^w9kd;%$g2MVPFplf^i*)1TY4B_;N+@XN@SCdeJ^72
zT9AXodqR0{7h?^LiO`E`Xq?xg)!lABO}02&N=~Ct+>ZUUWiESU<B^zdW3S^$vebF@
z#k9r(%U}Vnybjw2t^NMtn~dxBZi=6M;$sn`K*RBsX+jUx`<;mao^;b|8BT4!XTV`X
z+duM-?sq9__;pV3UEFdP5ifhDLrGSSEuFK|Jk(?J)!ccIBj=~I)f@85-Tv_FPMZHM
zt^*fV8ZT>s_f|UaiTAFMbYN>P4S86ZU5*ydypMDE<52s#RKfoos1M1K=qC*oUGq)s
z^+$0xM?(@uwWebYWhg<g9&&uni!V8B><Hb=&RzcSPKq8Q^)Uo?06blKP*WA73*NPv
zXxxF?2w!70TX2!l(zByPk#|i^Ap{?>k&%j`t=ikQzD&H^AamC8h54y@p_^kn|5Wdw
z=vdy<r7Vc-5fN^A;l}DfONtJTvS^dRwrvs6^vrve(3DJ@2%imm2xwM|O%0QiX>>Hf
zUX4zu1sE_SaAgO&Ew)eCBil6PPi^f`=JczV1MTQ&5TBE!d&Z9hN#cL}WXvhBqb{g&
zk0Kee)a%%^Yql7bQB9d3_*UR;t~kM-79S~)@H35e4p%$Vg4cWH-rIW72yHHpEP>{$
zJ)H{N7J!uYxc3KX|B&4cWFbR2f2!j_MRw+Y-;nfq$bTg<mJwoOK8PPp#?6-6V_SRz
zvz#M3CDr$Nt;{?(mO~Ji<HFcQHcFO6IL?~bfS_7n^-*U{EjC>a6rj5wiysuZeB7ig
zX)dnvbuVn{^Y;5A40^<_Y1(A<5Lzb3Q+F&F-xbg`8aFMUvE&Tq7VYX@@cUiX{BDme
zufw~`L=3H%Ule$DP|`48fLq1oEL~v0oGKDsMt+OGRLVkANWAvBbYBdeZI5_l!AQPJ
zzueI=(Al^PpNc6PFkyG%(Gqy}m<>l)<rx0mU42VuEU)ePh>Sakh6~rJR=5x-B)FUN
zAj%%7-JRYu+!2sPr^HDUXrI+S=ijy2-5U{+$ZKMHMwBiI`{nm*Y=O4#gnIp--Iv-l
z?MeD49+iQO5%|5d4PU#6Vg&v^bNAv1__KJ(<=2=6<5v{Y5r(w7Hp-ZC2Qrr!4g!*O
zs#hfLu~x74$@GD19&Ko+KL0i2-)3tf!Y_7-cQrk>K$Y}1!>te7f%O1Nor2%WBEq(T
z;TqkY@~{=Ci~o^!%?OcSh?W-p9^}DQ2U}Uv==UD(fzAlNY)<DDZYJS2Y9*6B{B}Gu
zc!6bst1S;x797&7s?@8}xzuYI^T~SuoI2WvyzSOEhmiEz*iuObb1<lD<C{7nX<I-w
zi|{c#U0pRW5+Qmm+)OL>R?Jnq)$?czQ?CV!ujBT1uPM5Fv1*ms=u$gw{CTee!C7ED
z$g$jg<r6*1GPyYZY|ebUM;n}G>+iO7U+~Ew>e&=IYi8e?p8eo5<r?F6Dtv>iRBf<H
zkMrLF`xq)7oh9~cKq}TIS8{j9cA^ia+=Q7jeOQ~8yb-?sU~WbL$$;2QR$!$mN_OjH
z{9Yn7l2V5!ogMm^v`%&#_SnLIkWsR4H7G=WtodR@``2%@neS3lcW5J<qdu24O}G|}
z`;5Zp*d!^6oic~u`LUYR;_keTVgBR1!E&_}Lg?f~8n!?WC(iiiGoHGLi1X7(bJq;L
zE7a|cqtEKPSZ?vZW*R?SWIt82RH-5=w3$<HX;Ve`%z^2$$hHXZipg`MIEAJTjxBY%
z@BQZ_OpOHf?XTVqfm!?)LxG-WwAl;kUa7hb=WX*5cn>id<S<E|cq?IenuCu|EPY-W
zAz`R}7WNM-qa%6y;=yfEmT#4!B??|U52Dsb(ys0<DLRN7E#gaVEXB?PHub+F#{j9P
zAQ<#=CmvDo&WpCyL)Oe!Cwl+73Et$gk)x_+@N^Gv>7ea!lrm6sNauymxZDJ4!KPgH
zAO#D`q)?f@++Iv_kh_2dc0SYS<hJ?LHkZ#SqJ%be+GM(3Q6RCQ;ch>Na{cYj4WV%_
zA-hB5lXY&g<2-_>WyA0;M2GY1+?o2`<`(t2BHN`$hSlv}pVyGW0zuVx;b@EfyN8QO
zYh!0}RHC#25vmsZe2P6kOYel5o0@IU5^@sSleZ-kuX*@B(ORUeb$CM46VBFS2(_E-
zcU^29KLCl{d2WMnz`nC+nzJ{fwQd*sb&Gd(+f5#u!}w!TJI?o|xqL~w@{tFw#~2I!
z<Ix;N&8p~mX*S5w)Df74*TJUjYcKLE3HjgAQn~#4kH5coA{S29zGXzJchgDlnLY68
zRTD<;Fzfua<du2Op3v8G_U8*^l`>0$W#HljMI(sQMS7%s&CjE>J0}`kxD2s`q1^8C
zk#l6`bi=SfXvS!)SKZzI^4-u=m!~(OzMm$==$N9+M!IcqYRwoWTQF?_zo4C3th!r`
zR;1t2sO$aB8+WFG$j9%t?b{}g)x@1s!tuXy$J&USYpX7#Wg4(CWa?JgId0q`(UYRw
zAs^PVslhO@d&82Z;cu2@l<;aZ6Pe$vOvT@~=uaq7sxjQmzcdK;i=ft@*_`JsO-NhU
zqmjG{jMo`PV3*WLb`B)nq!o0?rv7qLhqWG69Sf1+uO5B~V4$|Ue8tfGpXdk>G=4df
z?ZByw53V)ziU*^SQ@{zVt+Em$QOuY8?xe60y0OgsmMR5V!s{-#44d@S&$xbn_aZY8
zM^ZUNqN68OCcI)b4W4+z#kY*8S0qK|JE5#TRsGQ*AbB)Z*bq)a!qKgEqYyFMU2B1X
z$I&DIf?^Mqt%b-h^vI`VrFb@)JYQIvVXwYWxS9!;1fM&GefOcgfsFB*2E;o3YmsxO
z%Y1&2v*1Jd#iVy+nkfq6RAL;PV@Po|PDz4K`i6lnTDDa{))nEMUA4ax$?%RxfNfzD
zJ2<Pkw%w<FCzC#UQqaS$x;m@5ENiH!+?fZ=Z{GZMRQtN@oOK2przpi%2}+P;4_>#V
zG`j0i7C74iO$!@&-=1sg49PNR+za{rWbW)gCD`QKn~-&`UM`$rNThZDp;cn~o1&PV
zA&CV!a|hazCzYXy6DfBUrvvRKf|qjJ9RpZZ|27U0x4<v$s7t$JT~8ZRJXtYSZVBhq
zXYK-yke<;X_wW(hsrtULiwi<TEajRJ89!I|g8c8O7$-=64tNe<w1_HQf1~-JhV#hX
zT6z>s+OIZfXjal=OVaEXp^=o?zdxv?%tj~md!9|8zg9*_-Vc?1ArKugB9vOZS7l?W
z?@|DdX%Zpt?3J}ir6hjU{ww4OnTyi1VdgB%R5=<`KV~$hXS4~p^P7O|l@-(<z7XL(
zX-Bus#+ds(OzS2z^oV+~GR;TNnt;^L1H=_zYks$5Ls^qLkak(NLsS+_=d38&#M+U(
z={kC}h=1+-<Z14Q|1{XLRFj={cd`*E4OU%i0Ziiy`R#|gD?CS;F-p-2vA!>{_XL2I
z7ERX$E_T}^Pyjq$!?D|N6Kk(wR!Cp+@Vd=>wTrHu?9)mg9FjD2D%c~C<h?5`&5fHn
z&VGMKRd!Y$lBE7lE+MFyS!q0Ib<Y~^S_Zxvn(t7WDt_Ul{X4f}Hu|N4g^eBT5mS=9
zpI9&>S(k6?GgOPfkdkH@$`EN@=)AE*JSPs4eHJL5eMLy{3eTxwQUs5JI>=3g*zS5Y
zy`8flYrFxF@Y}PjisdPuD%**+v<@M4)+S?{x8J{MUdjtY1*x>(>8m|ke^CuWRIqdM
z19{(T^poq$+apVS&AO(t#62T6kgEirlmEKRliIqC0=&P!#cvCo%Y|ZWr3v5@dR$B4
z>2w2FZ~0oFj6{m6-YONloWa6dSjC}=_)c8{P8~a2ER+-yj9q@tB-gjXHWHs{(lMIa
z$6|PWDP+dk#43=O47Z+FH1Jz~3VjsDx8Q#3)-R-UP5$uqUODbNifFlkTV?CRf{h%?
zwUn!<4VvZC7pdQg*?fJv<NMCwYz1AFiAQ$gag5Jr_{sE#|LuwbIycgOJ=#>}dX{>)
z*Fu}Kii|z=mV3L|)36{F_lvLpiZ(Qp0RqHM=c(|j?Q_j^R;&qLsSXoN0nh<~U;dBk
z72{UtM)`y(w$r$yAd(0oj{f$h$>Sge9vRph9M_+4v^y}}gS`%oqBW@<oDrFf?^Bk1
zc?eC?q4HnC4+;2Btj10F36pgjnSc0YPpeat>~*zdeO>!OYNU?8Ib)q7vFL8TIM0;i
z>yl6%Zks5?ZRgZkgawFKW6KAnOx}rm4-S3^NBcIiG3hQR>qPD4{&YjiOx1(I4;!JG
zZ~fST#5HEh)FWxkJ>p^<a_GzNNG1PC^CC3;JC6LO<+g`*ZP%mu=1!A|0XmzzMGN*R
zcfEJM!Vy(`%9@K!#F6$Y5{LghF%86EzbTIagwxB>9It`2N3NCRNlhHtN+8^Y+<a}9
zv@5Cb@<(=GC3>oUN<ic`4(HAzGj7b3Zh(;$8WnJy(`P!ma^WZ~%)JlWLT(33r?Nqa
z->N3@q8?2x*>~^RYQH#Hi*8FE5GN2YSgq6^R0Ku{B6r4YyiqbB54Cb)ybE0^Nztso
z<Mug#8e14=aMbr1?->PQ&&M)_#>ESJXsIbtEQlw}0(&i8hpM_hF7oY7ZQJ~wxMr0q
zGYUF-6<ahTh?vykRE_RW>#IA6Y2F6Xq*eq<!lAq>qU;;5yR}EeVRqsK2(=p8BGm5@
zP4wQ-mwP%&&|||Vj4dyx7fV?0a3=-k2Gfw8CO6!kNL-XKl=|T`0X-))UXrpmKj>%a
znK&w8JlVSOvv#$LAJU&+lM6N;R2@VX{UhoEL%&fKi`x}63L9$ymYr7&CU!1kaplya
zA%ONEx4sL6%ZF{=u%39vaj3pu)o9TYDAR!CG_e3W7*(!vIA&aK-`|j_UumAf+`~U<
z0{b1Trf1zb$ta&RrJq{&k3<e_uB%V-{Z!NH4h&S#n3KjnQb^$1-~W5q_mM+asTZ$E
zvZa)*AbaVPUDO^hvdfdI`sszR6>!!yTsx_fG(xHQJ8B)7>ty&34%*t@^g6R`?@l}}
zx=A2)XB@m#J|^g$7$|-MJd#*8)N5lPlmEo?<dJf8_=IABCiO(;1+?uTUcr<*kFES&
z#D%bN{ITb|qOPtD-;<Mvt})hT6VT<yB?fDa(1geG>eorChAShMDj#M%2BiE(4^;4U
zGm3|yuboBIAPv5k0>fQDOTiDA-+Y$~UhHyjeTgsKu^fcR-u_1R7<N>2lGOVp_V~i{
zF1SyjY+N*WjUK$dI;<paW@FMDVQ6%2qqayLo9S^@{b}XZFvcZuc{cPTUstQsT!D)H
zp3J6)`vr@Cd66!k<MP(=b6{rrzq-67(B;lMpWMc4M!$#-qssaF61XRqU~0W6YO|##
zr)Zi}QWVry6V>!dQLyP$OFm&XV~w7ja1op3vN+*|5Nom<CO;bl$zfP)D>XtXHSMCL
z>+m}Gl2P`)I##q7?yLwO9rxHfF0rat$;E{R2r{9{VUuic^Zp?l9YqWJOW8=`NDPZm
z>fY0X(nb+lZa)0UhB9!y4g9L6Du^75H=bjxaWGOgmm~2-$3?vowYo*7XyFO0qOv5W
zl<<YPM~NZD4WReGBngLN*}aiL53^Uldm<tB<t`l0@Ran4@&}`zGCeL^QJ16VRIy+B
zFh;Wcwr47x3u&G}?Hb*uSoOIiwi7!DtUhL|+I@LKVR|~iGfdyy51w#;cAn94D(CtJ
zMgpr%t)+0PyK@$*PU_=@Er0p@wB5^l>b6!4!q$kja#=&d(+!3-$){&2V%%)z){6G*
zRmE8BW4b%hMn5CIN*jW?Zy-WtLO$Huh^cHB6t00Qt-8=cj2HMWElaJ>BbVAKLg#pA
zyhB-|fH|!>{T82_jZE1bwlN1>lh{L#fYHJT=*?({>kazX;lCOw+F!56%B+#OPRZMi
zXO34q5rS7k;b7=8q3c!lQDfT&GD3@OH7Vmg(F;{$?Wa7}n&iO8+R`yL<J~SSBuck3
z?~g~X!9U}E=l1o??yZ7<X%tRNhx_&@(q24c3_V<S$yw0usf1lD=1*y2570$%<i!gs
zmW9r{XvZPG_gr$Yh31d!<FN3I@u3&*7ufR*-+g@Ci7zcRQWanR^>r}~b5rijrCw$;
z&6P)1h@ag@nUlW-#cwgDLC*vUC@)v0(soLy^^jWgR#Oc{h?6b2O}2s--`MY`5covB
zsCMpJPeb9QWMSftK)R`hHf5Of(#6u`jNBS7^YZa95^<39kgNRXK1FMa&904!uM$xG
z_6-YVBMH1;{~oA1*WYrK^V_+E`-!PH;Cr85%<s&z>LII23MAJ#s~zqft9TD$Q&Jzj
zr2`Xq*?#iRtnOH5UmLA(19bA!Q&^>H$>B^8$dYfB;Be_u$NWiCxBoS4u15c*cX$00
z+PZ5Mc*EZ7&{k6j`CcnmMYkE#A8Esli--TXz|MfM78W#SYSfo#PXw93M(<y9<|zXW
z`o*5@Bzftk<#a=-i{aJrk)U&@9)818!==IhDf|6@s`aM|Yfp@wX0b(})P}d+N=&P_
z^%5)gX(SjN%-@w$+*g~!0|nC(a+7&fe9+vP?L0+YpooK>FuzH>E*KMKZG0N)y1Jg$
zr?h8EOwpQFdjfNqU}J37b5pN1B}+b8CDm)NP$`sWwozGGpqxn(x#R$$%qAMjxXGuj
zks7O&UIFwBaaZeep~<4+W33=l>{w>4224wu+D!ij>F$_}R)pzo?^r&z^z!L01gjc>
zW$gHa=s`U%QQO`3la|d_c4N<(V%y)}6z+}GDn?#%S}eQnwJ#=f7zM)lMfjW`UZd?m
z6M*>%6m3l%MfT(v!}2k8NqZ&L=MG`5Ru4V2S)M5@019q>f7acMnRzg6Q^xt)^>w`_
zl3Y=N15cWh!0_*jlR@@ND3~Tg>w7-b%1pj?5CrIY3E)2$E<~~;@TIFP+e&wNw;@XH
z(?*$?MnnPi$e<nU%r#Tw{CE{KayUfx>?p6$_x!1c(x@V9NU8a$Fnj%%t8>j6G$P-H
zcM~*iYZqn-O;F@D$Lg;kT_-PnT3JD~ywldbp!z$#P3ja`;<2q8JYqYKHZxm>Mwfbx
zQqY~K47K---+%7Olp@OaY3ya?mg#Rr_U7Njf$a2GE^J(aw!D<{25aE!-$@7KSec?i
zYuff<Dhs@F?ud1sfIGiuq#=QY5xj?<b&osnEealqfO&zBQNx7?S22pnXVP2gmTYQ|
zC!uZ&7|Oa7;9j^_RDZmNz6?k3UK6=tK|JWobvSPN#m$1rn8?4E?GQZtmyj<R*Im0?
z;?)5YxcUE-9`~Bt9nFnt^M-^{$32IpVr&ry0o*Y~dOX59DSEnt4WIBggT!i?88CGZ
z5DrV5A@(Ci%RIhRslAh9D=Ac^$~7iNqGWfm6b#WnhFex71yU5cTkbgK=Dal4dF+pL
zU>*t>b}g5rfC&+{2huV8HwLS%GMT|0R}`;oC^6SviqIWp!I>g!W9g1qN=@VPoDaWQ
z>}{2LCDffN5kxD{d*1%im`ltF6S6S66qvmqYTW=NgRixv1o^sf8BJXo!m0lsY^=RI
zqRP7<J^%@Y3-Ri$R#vxPwwYnBT))yNbk}xT7cNWL2dM+C6tJy!H%tqjKf%Mt#pIuk
z;|ex1)MmX@c|?`f!9xU_<ae$bDk_LiEak46LL*N15|6U^eByVxgBTTXEG_;%dEdrO
z`Ex{k2zfH>rUqc6&Dmp9Vkb@ftCrCsv1&8hY6AW>JuZd7f4)T7C$0QsmOJL8jgTKu
zxC0I{>u*z^s;3%njf#>L-0x~GZmA-=x$Ol;ZTF(aV34IMpyU;7o(>+htL9kZM}>Fz
zbqC}yz7<G(YXEc#=zr4NmosICHDh)r*sg$5r=`T~@`8YDck1};sSi<j&-w#$o>#d=
ziTA0Hw~_*$|9fXFCU2Q3b*_m=WRTqeLWBz5(WjPj?)vN0ZiF!JTfcpYpKhCm8DwSK
zX!)l@Wxxh|sH!BpRgTGxy11FrmI~B)gE0?jwE-9I^QEQn5q>%He05vHw6>2-vm!7Y
zQEg=O#YX9*i8Jpb24kH8GywUJ;4-X4oM@ctq=e|p7k@{t+XT=Ngi4^MjvbjVZMz+>
zzV`A&$ug_ATGX0aQ65vpSAKh`5PLl5^)7?XmyKA>=&pwT>z0w7Q|%mqqR=(|0_Est
z1xLpBvV9$JbQ9UKFR%8d;ElJnMV+Ds4KVf~Me1$WDvP%EDt2MVot=feMyOkUOq8f}
z)PsB8$whz>GHZ>yH<){cN3)b7O;{H#1TU35d}4~JGScy8k8JxepbUsl9n6Vc*2-WS
zNLE#4EiU`+DvSL?Tjw(F3Qzoh%>=q<A11MvkEgT<sZGPYoJtHE9keVDew0j@pafEw
z$>WAV=-IYM$Ax##C_mvjAuEWyn9+f@8lQLbRWdJBc~7STvRHc+z{9l^B_om^d&^rV
z@p1Qa*!~Vv-20XH28&aT?BlBM_Fl|Uj?4A{vPN=~B(pvSVyo<vWF*&#bsm0`&=+dQ
zq+Ak7*j0;)va>Q!)I&Niq6P<xHZo--&5gPTot%mtMDPVKsmMcP*W^!nt4D#E(yab+
zK1?FQbjq_-u*nt}Ghy4rzaIFqN40OKGb|Ap9GMy5-0{dFxX1-zJG&}e=!CM#%?I$3
zXdBNU26fV}E~Q_oCUnzuK}w9uzAB{3lr&i7D7DS^ae`a6>$%3<E1Bzy@Mr`l=#S7J
z>FX0i3TzK9o_HRG8W|J{)@6@6jXfWnucuz@2YeOam%MePOzF>m<a0?QEyEUbz&jT)
zPKFaK_cd7*_H%a4ZO?9jQG2HJnI(!9C6vI04`CL1{B4cCbg>2Z@0jID(*bnZQc+sB
z0?j>j??Q<T6~k7WqHXk_^FhmvE2!)zM*R-Am3H~a+EbOGS=s12nG*TGeWwYxor9Y*
zTbUYqvLiVK+oG{whnzBqJ@|Nv`T=?8?6_%m#5^6Pz*rumxlVMrOU~hco$URLF=Y?G
zzlNz9HAn&!g9NzewR;=Ll6Y1O`1#1gdRVGcC=tY#R{%L@#gNwAP>Ok`dz*Rp-U0vw
zb51L33ILYGyU^k4;KnEZS^UEVsLt#Df)4>-+8_Cw&OJf8r;GOjuoh5Q46lQzw<Nxb
ze88i#FSl6%BNxA87x+{MY`N7^Y)>IoFC}BXNfJ11GB$&UsT<7Kjm@r)N_q$NWmBhJ
zW{PQw7xJuVY+gA${>1WktnS6VJ>KUbGmx98o-;kYidR_aAKZuTnn!?9NX6ZGCgkh1
zgYYOqh^>5B8Y4TaL|u?r_fB%C$bf>Y{vI0|Z?`}+Yd>rcbiq$#q~35&F)VFbB2Qv=
zi@ed>17_%D35o)By7YVVkjr~sT<tC&^<qDi&vpNVvxh91yYiLg=Tytrxw#^XX}xX^
zZb<t}9e6z;!VR6&)eK+YfKpCI5g(!9gC|q-+usxsJkqvl-Cw21d9yr|F&sIsnX%@F
z+~z;CGt_*>6#FB3-}KKhQ)>6yCfQ+in@p_R+F3UfQCt25?eKloD8UJ@&Kj~}u(v($
zn>t=i|8&`XaqyAv1E?6gT&FX7pHFb8QGC6D1KCE8LxO~eRtdr7x}O(YQhpTtPoos~
zw#25=JwdcjQF2)*5b4mL=b#U$W-GWZsRCH^N6%y4Kf3i_9lD=rL@Wy#R0BIwl_^1d
z0T~2%Fd9Us?&}lvG@5OlU<8}^E87bJ0+RA=>oFPg^we3r+Nz?4v;Adl<Hb5WDe$YY
zH`2wY0AcSC^yb$VAZJgyAxnf#M+J&}lgY8>Z)3e({Zh#61QN6MiAZAH5LDhQR3(f8
zPTkLv*~M<SWAX;fE_8U}$vM6MwcBdt`dPgzMHiI8;GNSkrSDAsHDDPx>VjCTz}|2c
zlj}N9E_@Z7U;fzRT{$}^2On2sw^^}e*}}@d+I*zUsAuCk<xwfNPUAvmZ%bmSh8l8T
ztM<L$)uz8J_%0%1ZE9n<nq7ED+JC&0qhB&tGss3A6n2rFsq&wLhW<vC((s<9tLtb1
zG+r<J;kq=ZL5_!4{brZtj%H=vsG^E!afA+A+0eY4(Tuxx|2Tf!dF$J>iLDT1e{--Q
zFK$4yLG<WmkTGbTwfB&_#X5!n9rPRYOE3E$Dj}dCg`JW6TwB|5$Gc%$<n(g~4G!b@
zUX}-_1*B(Sgv=hl2EI$%J@8n)B5Do>u|QGWy(CgB$9&TrmMByqv#_arl{k^+!b|qf
z0wTaeRUAvZEN!O_FkR-oyX>tETk1W*giMm;8I(9ou@7stLjoid@AJ}8wIs#;yYIe`
z?uQHN0jgno;m5!>zNo_GIa7!ejgXdaV|;0oEzND!Lll2#k17dqfQ}Bsry0*G#U=s#
zIW)X{2zhRd+GWzlZ#v1mTf-K0_9*k#%iETHgw6hU@ZzY%q*iV+wsxd>OK8KTs-{md
zW;j3-F;raye6f;xGcr@z<+ht|KX7j~u0BGW>O~Y}8%3T)m#NJ<U5&ANGG#=BY^;e!
zJ2IZ0V)OIn0Bg0XUnf1cp38ly*}q1bOqEi06P(%n496o;qK$jtJMA*z*)wSAJA)(P
zPkdG6iKY?YoTsnTF;ic*T|_Qab@c{ALq8nbESheO=K2S?DfxVt3gp~ZA1ms%FIlB4
zGrdbhH3Le|Sn=MQ8>Wx44JOo}QSztjb4_z?f{ZjB+46p5v2(YXl!9k%cLyBB^0xr2
zanO<}%{Ed0gW+9oZN?!_Cs5!4-N87r0uVHR&pqGWNnbhDA)W9~u6tlyVj;?2&0Vnj
zxh{QP>xDrAPOSK}vTEM~=I@~0i+g!-Zl<Y-UYME(0n9`c<)my6DRL|Gz#;xUm7KZk
zutfQ`K;W4!L&cB&K0cJaK;p^u&fwstB-<`SD0qbOCb&1~)WeyZRiQrj^pSZ0w;flM
z8O)nWx2}N&RvszjLBgg%)63OhaoFJ!bl7$FlxG0_n~~=j^ZLAWqH4+nHC5^6Y86Il
zvO-H-%qIA`(4QohBkXzlHyeP7?2%d*wZQ?f+G8}3Y|A$*)X{rc-vhLpMeJUkFqY>e
zZDzh2e}F~xxPFG}x0JcN57^Sq+3U;?D1C!>@~hPm*IV14_$eAyHi2*SL<sIN3g838
zl;_t@CK&1V{lNETIPew#3s3#QkTvpK*G|~Zw08ye!p1-w2k`Y-bX@0)&p&s@Stcf;
z;4-{+`VYIxLpQjY^ga&A&i&1+T<!2|nkV@tr!Ac{<gPk(4MhvpZcE{LnZ(-DR1aNZ
zSg)Vv9YTT#X42GSGJHfmNYF@IL_K&I5}aVEJrOknB@#^AUT!_pEPjo{!2n8KhBU?9
zDd4eQ8JtqbxY350tz8Te@qC1~E5*1?WJ3s*e=ks;AG}=VVwP!Hmja($^J@3C?7%RG
zyJqE>&#6A11sf&Uc-P|t#4|x3!~)`V38H5;%u{qtbNWXngpJ-1boO#{!%wnN1%dvH
zAX2BX6OoS;*72ni)N(TJ_K(e_+&ppP$n6TjWrBo_3?iNAv(YG{M$tn6%%kA~zzt@-
z?Iy8x**JFDQ5QB&y_@bDziM?XN($}-ezH0b765=Xw_+k@`cE<YEAHjA5}uPfzcwRd
zl+a~7t1mxVo0g2*u6SXpq3qOfeS9>0TjTRM$yje4MT__hn_9m_verD7FnDjurB+BM
zh04Qjz6Gyo*R7Ra9P3?=<O36;2S%5-aUDdB{sqOtJQ<^4BF151KlNN@GwKTtvAwM;
zEW~3%yWYsKnw>Uq#jKg>vLOQAs#m2ss0avXK2+jJ_S?^6Pg{syiAzyz5r`t493F4Q
zCN8esc4pSI=o|DL0&lD5w2XM|Z?WjQ;aCmPZXeI_ov(XHoZ5)G^!c<KEWQU^20){*
z1UV)7t_*L0dr@AE0bk{kins?^oryG^Jdc|G8xtxKfx>@(`1>WRmi6iZ{p|YUyg*|7
zy!xYELqguT|L+#~%#HsFSw_{WT|X4KMuu%v9$lsvRSWZKm8#l3)|-kC?trHb9UddV
z=%BE;HK7_T^_sIKE3*ysXMhqK$oJcW(v4T%m5x1L($##@WUnkwRBY!Rfvd>Iq5pBA
z4ZVq-G2RC&tBSt~B}GD`hk64FkeO>(DOcaq3Lo5FhTz)<;o7C)Zr6LJV^CFQh|n87
zWWJzz0|%LoT+z}D^Ch<Z*TBTg5eLJ@^lQceixCwE9xt=bNkTr|<*FO`s_P>eae&L*
zt}sZaz!`C(<=|wjG01B7qY@jpaF1bbplL#l4idh=>U1azhEqO?t>pdn6B{hZZf~7K
zsTxq$S&?HSdLzL5r5ry*{z){kfu*ZCv(@FHOmcN4@YKQ<=hmF7RfS;UQRep!oWGM9
zZHV6fBKGqy{A7wy$;tR&!KRcFT7BSS_L}k>!k2rW90qsYTe}p_39<CSf+qC>%Q=z2
z{nBH5dmTfg#)fPekcLSGx?HjvQ3-u}%J!faCydqTb1RC3uP7d)8S~SvOb<D|Bietv
zVJ$aId?NL(sa1QwI;Qx2H4Ui}&_yXJq??xRAoUghna>9V4E*cY)HlT9Mqrtcf@;lS
z{gWVH(Q7J2Qem=EWz*uJTN%!~`LX>)Rg=A)Pnmdl#tlJ}Ab0oh$bI!{#4DGjnLc8I
zR?PdE(ZS<<6?@IgXp5S<?AnYKRSQ7f^$8#Rz{fRk<=Q(#AKXb>I60BUO_1;Z*~m1e
z%(`iB$lL<Z!E>ZI?OjscGDY@Rf-fZW6c)sY9{e4zI11#3Ky^XN5L*{wvbVeguuDwE
z?8GXiTDl2y-L4*vMw^CZ9Alr^Q7yEEQ=m`&h4!iK<ir0kv(uhCQ9fx`%5-!e92}3#
zoR}_95vo+?$q>W7CMr+f{)agkZHzo0NRzFjNi?f20Dg^%9N!R}@es~X?6oj^gme4l
zYq)Uwx3QH@12p`9E(0~zR6qhr_lw1R#Y4_}^tv5ryHktj{9NS{ILAcheYoKQ><#fe
z0F+nHsu^ROI;ghzr+giqBYn%QaueiL_q+UoWLG)*8N)I#*6WS9J%j;+gRD)=D^GO-
zgp^FUC>MAApOVc?9QpB)VZki`ShskO+4i3@K8}}lZH~StEZU>x?o`q;WL0?j!G^}k
zb`<?s-p#VHFNKMYh43cuKkD}Wqvkd4gu0|65H!NYKr|~Jm{?xmmm4g@ynVX6SNn7p
zwO@C@$&Az&b|vR6pTMu?>WFJ%;8HLpmLJgEwF{_vEb{ur(8^o+wY>;=Da?$H-4FNb
ztz~VeNO`ug#uBGg<b5x=2zl<JJmY~2KZ>eA`-%VWo6r1`QdfYr1@Jyhu^kmq2nx#9
zQrI{dq3{GrCbq(zoiEm9sPKF0iOCo1i4n36K?-Uu5X|Y>g7q97k2Ok&DEf>!>J+<s
zr<S14h4=27PpDZ^dgXoQ#pM^XQ~)_J2CmPnO;w(cEzQ`X@3|UtEL!(Z6Y8Ryx9eT~
z1--jxf*9`U>X^xgcC7pZYvWm@)}Ek~zUgI?j~~=nu6me{<!yeSR_R}kw04Def1fo5
zeu-7+%P0wo<rC!gl%smf!h{B5{`x%FLoITg<DJpkgYaukxl8o#)0|Z97}<56Op<Nl
zZ2r)OWEt-W*50KegcqhvE^UA-IcPC)WnNme=xPL}>7v6O)1b!_3P%6_Vf5N1(cQ~2
ztBkPf%Io`+4Ii;XJ2H<tVIJ3e8z6J9@*||YK#zM@<9S7j(LKqWulK_)-uHh<zrxM%
z)keUzw_(~|DT8SM2%Kg6yWZDNqRluXg_+Z@Th#bB>%*Cl<9V`MfH%+U+}}J12;j<T
zF`97{??LAfDnasM2jZCZPV!q!CQ<T-yL@*#AzhbhZw5fiM_=8m0Luq$|HOAD;@Td!
z3+1D?A%z=1{;={Fl7GkNp4>A}cX>|<p2jL7U@WY^UTb5Px_JH%t5rxs(G2e~$EkY8
zKdCkW!v!CRy;kKTdqqbuA`q2j81VP^Sd^2PC%z~Z2ZXgT=H0@sHQVf^EihTX*Ueop
z1&rWj(D9{IX&xnDGhZsc<<W>IqXDZ6Qep4wjJoS1f6yQ8J;h-3hb068dXXE|S>?Ml
zPLQ&?)y=_uPEjW(Cswua{>kjV?MIS<5f2;OJS4ajk7P;~TAv|2Z0Ek&GucnsyJBFz
zv=>w~!~mcFi&OWB_33C74haYG!)IZ=d5@_n$*nGZ)1Fh-{~&H9JAk{kMqaJc1EVKL
z+Zy9o@lm3h-L<UE?M~1gA*D$GLurfT!cU`Dc=`^%tu68b=*TRAdC9!~74F?tfo}Bi
zNWfc$Bg)wNzoYl7o<JyLJJjL}0FO|~OI7!l6WH7tmw`(*-_ojXb7V9@l=|w0)XsT*
zAe|jec8Ji5q98Mh_&J}lVAphT7DeX|JbIfQ6hYmp_Y1D6wL??$ENs=sUj(RzlA?@)
z&Q8duWz2a#=()v?*p?-*v^Q+i;2)Wzy(2i?aaAtfeWGa0i(_afKyKm~_{Hkao0s)A
zcA^01({`htdB!~R>8$?(U52iEw3BA<49U%kS$#5F8BsdQaPvJFfX4RF>&u#Db5O79
z8P5eNi=<qg$~V|dywV*jZRBYr^Si=*J=>kGCcq{!0+_<ZP#g-AnR&gmJ!qzpGpB+s
zX1BKihQ{uvyHkKOqWo3Q*9C!X4lnvP#ie=t^+LXxvHEz<e^Ry@PrLEXx(zabHC6w~
zV{(2S6SF4=S)m}gqb0{MYkh!W5k2^$Mo;Yk1M-z-2KJ}Q8#Y$2(QQE|UhL6%X#JMb
zs#SowOE;Zt7+$wCpqb)M#qYY4x3)vSWF7G6zE^2v)UQ&%Jy%`S2nBwo9<BN|blL>q
z*)t(Zql<~-uSnA~O&oF$Ti8P+7UFB4XzNfh+l=u^dX#AI8RV>))#bHZeH*bwc>cgm
z$p2l&tm}xxFvfTy9j{apN6gT4$+v&#b!0`(`tP<kF4X{5O_k8FA@KG!;0PU9c{#Nf
zSsnDpRRX_a(mRQ_{m$OfGSI{D@>PpAX>B{Q5;v0D)-}fOY_F_|In8s_(!M`3=U>-=
z#it8%NtPZj7?u-vqreWy$Q1i{+gVrZ;|vY^e^2OBQ=K)AW1swe>ONB4wZZmhV84!f
z8sw4`O0eA6eU~aV`g?$%UDnjFdE7!@P6W88x-A&=`G_Bau5B5g*Lx($mz3nL6%Guz
zxfoo*JXnBqADsYt>AJ8~X>j+}Af#Jto%YC_=W^Z&dl;Gk)+E=myH_*q$}=j`I+~tw
z#7uI#cy0ad?3?!}_l4_n(T24rM{?N3+O;0KQQ!CamlS7pY~20E38wKR`H1V|AD{y}
zKtaxpgZ^f8J*@J(5|uuUtJ}HV*w|&?13e##!ttp4T=_tfhB)`lyG<tvGjV**v&I1w
z=>VW;M2H;x6P?QHpXla!R+;(7@8^NFhb~`<?lV<kggg9bcHMh)H1Tvs3zSNZ+7wn<
zo4i{tlttNnaq}J{ZM~KG9!&gqyyOB;aKXzqz%cI}{V+gwy$k+T1Py-UKgG5TO#1o>
z`r{6U1X`I0&>bTy!v!7iK_V@6oJ=F@g*6z$V`pnXT<tSgL;Ce;3t*JuQtlqAE2^>w
z(w2D!1W4dU%=*?eu~MAY!fQZ9!6ko|I8m7w$CTCzveXJ|;caX3j}R2RXK30j%2?vT
zL{yx>^33%;;5jVo_1wAreR+ZPYx46tCz-UvcSE?ZBsJ<o%!x@qups+-zwltN3E@45
zA$bxk)v;W@DybrbE&fu2v1`V2L=ia{c}eZZb$xTNcv0z{d%AM#Hv(KC{-o}1iFG`f
z4J2@h3gEE`d+?U;5S1>8Wti{Hi~uanC13=b-{r2l`PU2)?i@#6DRd;NmQ?tb;qvLj
zzhn0Mc~|uuefb*csP`Wt8_ud%XFwetSW_iM^^iRnl0MGD^yL#3d!&;?0?jPWg5k8R
zR2euWWKKtSIjXn1A$TR!$a>rU#Xk$3D|4W5nra*XAL=jwXrrQ&s>=7%eJf}np*1N}
zx>q<yK@L3<m_)P@UqXkd+%!w<Re!b{;p`^TYX;fW$BhlYz)D9!_xSrDzj^=?&S5gT
zjAGfacwaux6F>l^A}Tduz<BrW=IAoAQe+WDt|}%%+qKFARJ2hl?vgjVeuD-8Ruymi
z=t_I1{o>`QVg8&shr*-*N@|wvA)g=_tbPb^M+9$T@#09<(MpbZzM(i{4T;<QDKx9U
zXvyNV#htD}VuXO7EwEc8P8@xalch>;TFwdk?-6@k6|y$pL?aSoLBB<Ms?~2^1_tWI
zXNX!m!=Ac|G_^o0-bBf?$n3M~wsBG<tL(Z#I55wf-Qocd4!b*tmhvzB(TRJ!Tm1%C
z276r3CFtmD!xgl7sQh$AuYj{s=#c6Ra;nP|ygYs^sS^;ip6KJo+L#u($bWtHfE;&I
zCuVLg+H&cWfwp|D=~eDTeza`(<}(UnHv6m{qR0m-AfN3AKPm@1Ms|r@4*@$7P@{&4
zKbO8=0BK$WK*l#ul>u|aM|Y}UKX4OsIqS1tvLW7?jYHs3j|Pn^(i4lyT@9)@$m(we
zu_)i5Sf4cm`vZUi<gAN7Yw~I;bn#*dxB}|r&s~uNPFRP-?0e5N1zamn7N(7Xt-by3
zSE?altz27|ojP+`UoHM-LcghfhRl7*+B=!6ORT9X(yQ{`s@$HNUTcBTvv)p)Dq&x6
zMr$*@de)R-%0r~g%$(d8n<xhmX<)?8#nMp$`+Aq5o}x5PP_cbtx0BT<38%ed5w9oY
z)H4FrJS^Uw&W#73Z4tOW*G#%;kZ380zYA-Gt`iSjdEF-)ATH`&M+O0B90LjFuCn#A
zz%g?kByzADZw}W`_`t1RVO^>H`kIs{1o)_d8@1T<h^Jq|Tsau+gYJejt;{@U;>D?K
zyY*mb?v~!b0EXPk_E`*g1`UsL)))D}?`3c52sm@3M}44oJTZN!Vz+0M>p6@pGr5@n
z!RJGUel--?SW>;LR|jt%-fxc<)?~wPY6Zc4gTfoWjE6MdzV<QsJ5={RI(Y1$hgrPq
z__E>^N$bqCNB@DTppbw;%TOrQCW>&tWRdtH)-bnY&5b%aW5$1WM^tHSx@rft*Q%uU
zg=>cjhP%8OA~Ug?dB=XGNW;Z-zxtN6PL~;3Tcy}M>!nY5Bh!cmNaLGSY_g{KS_bX2
zNeQ0&$Qy`%WU|6Jk~t3$z<HvA(&JHrfW^BTEzKl4T;J!-PCx=E8jGw?rxEd0L4SOm
zUQu>ONr0a|{sk}z_EBC?rAQzn4gHxKBYhiFyrC{8azY2xoZk*w1Q8<Eyz%_c0UzcI
zg~vBXxigMVyENtU6m>>%z+{}$g4!fDr~PXWzmRCpcSjlpLO8Wt;Rp4UpsS?0rNy6>
zXO<phRulRLUNaCQQjDQ)_<_yHlBdTRBG_$And9$tHd9e*noYox76~;aH2w{_bc9Yf
zDFavvU~Y~sn~Gt5Po|JRwVL^k^!7_DVM1(Ckb9WM-in@SJR(;~!p_nR2jvB@?HRs@
zZt)<`un|p{%b1!DA6{9_;%I=R{daR_I|xNwOL3${iX-pRq{y5KqE3(UP4bOivl@CG
zcNPwcwo4dq=*|uIH*1+#$Z?3RzKtC*k1#FWvks-*#YumdHAgE2)(j*w?T3vjZ2^ZL
zhUVe%){Kew_r{HW=luD!al@Up5nZ=PGRis>0XNj@@!ES~%WwV%Zt=iqTljx+@ki__
zJz!i-A_Co_0q3h6z3SSB3Y?RvO)^Bh5dj0SY7w#OP|Zkme}|wqq>qPUB^EnPycd}Q
zG_xfjx(Kih|F-ubbyGug<feOg-+vU2Um-u=$30a~w+rhE87;4O20B24(=As3q~63%
zQ^+;RM$~SU=&7yTFKIZ_jeB+EMm2UGpvSIBGV7Jjyt#*DGw`%|%k}hQ(TpQcN?%n}
z5vH?0^GnSr*D>g({!SwvT$)h$T$fpYrV8Qq<)YSfh`8$KDH?y{rCxZ&L4<|lmT$~p
z6VMDG5IGLKn(_(c!d}SsKWG2ynytJi-{f9_h3qG-n;NFW=Y2YGB7h9EnpXsLG~YKU
z^~Lv=0x5vBD6Mg*>d0(4MmzFc(dUWSwF@Yu8R(}d$>$9=!RP<OBK%Zn0)-RP!Z5XG
zyDDa6Ryk%PJz-i9;O(5_$zM_QVB(hQ`hdadWH`2_UXm*$TK0g>R^D_;W8+I+X9W_e
zGG#o!2AlHOSzw))|Mw)&+`Ezte=XwgbNJDU>cN1i-s+(pCR_zjfW{ljGF^4JtKbdg
zI|qZvsW>JYNecF7j!!t0Fyf1C2K_(#wwqVR24Dc@C$r?Ye*oWk$6t3Is(oO)f?hpj
zyDEEe_Y~lemZ>}v-S+gF$}>SrW-a|-yK_91Gc-H)$uy?$S2EUhX22PAb8gMLUkz2A
zNNym|@4miZ6pkhJmX3@7vid2q^oe}ID`R3mXj{KEvS!NmI?;4~rSPr-q70P(E9Ggy
zFny{($3}W$53GTWwz-H|C>F2{Mjw<90HoktfL0cvO#}}SJu>eR<(t-6o75H{1G<Oz
zeany~d2caM!i6`<-fqkn!Nw(WC0$%?<;<~uPb8&qnLiYL)=97TTsSjss_YmmjK`pI
z>0E=Jj$F*#J(w|*K5jU2^n0!M`tK0_a_(oLQ^x^JcBK6}fKw!LkD9gLMjH=TOSV=+
zvX(jHm`EmHQ}tWwOWRbMKDG8;?FG=}0MRR3Ryo!F%qy*j36LMHQbxH%+SA$0qP<%6
zzQxR6tE93E*O`#lp(rg{GC?e(l@?a!TPpkC205SCv-e)^E4?&mjGKfLy@GyqwR>c7
zt%n3u2f!M%E}gh~3H}CQ$>`^Xw}`wz5VrbLiNR-RrYA!AIr0CM?Xiv7G>WNh*1U5I
zUR*&W2A=Yk{@i_pYk#0>e|hMG`slv2rBE^5RNids7Noww?Q<)zC;fscRvf#VG(2wk
za$*Fys<9tWA+!X@!0WlM;>S~i!sO_TU@Dj=yJ8<d$ik06Gnzd?kCSZyqRfx8U@?GN
zQIk!+7QA(unVX}%5_UvFhrz2!G3<g+{vAfSpWdMs8nQw&n|agofPW8Q)TxujqQ@kl
zgmIi?9`fJ=?Rry{SWtlcN<<AXRoz^7`?J>r)(CZ>_oX5uxN7rt(kkw_&qAt=FSKyd
zU(&F43m}6uD?*R-UpKq4p8Xak#wcX2d`iLDkoC5INi9F(X}qh%u25*gtrn{V+d15w
zU#kQR@BpW(AxiAs)DarRgpLu5vw3WBEl`)thLiEfzYl=5y%9d|Dleu|spUcj{Z-uM
z{l9T4DK;(2s%M5<u#?U4jy#G_1xmi}U>y=ltsd`JYVNq8%_8RwX7Wb^7Ot;dJ<kl%
zpI+AgWO`F|dvS2GW&Mg*j>fMXkscrfMfw;L&3<Ugt<e7g-}_2Mo@43Yljs}WU({G%
z{CBiI7KttWb~MjwxT}zY{n^Qoz;frP-}+`xUupG+UxzC2yaqwfhqrI<z%8HM{tQTi
zWhQ_sg>n~ANe)WB`j@yIyI-%*=*J&`bl1ZbSTZt{O{tX)nOJXvUD!&d#fAH7-lpEK
zZU?5Ega%5zGrZwzMwb(th?0NMSY6*7$9M#)o!x>F#ZLPD@NJH2>MUk=rhbcuEalzP
z1^GDd9_cBBRt%k-0W3CPMv4H>GwB29S^Nw5vfijnQfZUM7HP&YW7az;6OqB(-0u}`
zH#rTvmfz?u7ZlJ$d@_qkH53O|$b_#`6|GB&(sBuIA#H+k9Kr{k7c-P|Ibxd!H7C=!
zQxnld+Ka4R62x;|;P^Qc2w|BgEJDB@*t#?6iX_70qWbW04%S5*Vi5iw@}G_s0GLm&
zB0u8t9?pm?V%y6D>!O{(wAFnNsa<IELPSJ1q#sV#Z39a=G-~MgAKDMvHa594x0lr~
zSzTCLzq{4i<3jkFWY-@pu&<|H&C1NU=yS&;vnK^`eY%}AFka{+!;>6b*WZS;8{sbw
zt_@ZK25f7u6mGkT0&*?mjosr+h9{T&3vRc>ID;})Y)?7EaWm(OPG*szpw%kCkRLzt
zr#YaxU)-v)aDNf7;1H9)>v&O;g{2MmE%?3aiQ+HXr;b_HJP<(pUd;j{KA_WTj%aja
z2K?5cI1gRwRXkI##LR@w%nx`J-xw@u9*bmVkj^;{^}XmT<7^sy?Lx6UFTFr>o-Q+2
zZF&D`t3{dp<)gpPmx@|xKC!*fv8Ft%_(jRBd$<&A2V?DX>ByF$1+)$s!@BNE#~5OW
zw?~y}B~5&UC|)M$^;CVT^~##lLK<;ik619_s{!`$R_1PKsYA|(z3ns)*HQPwUxf!i
zpQTyV0QIu}Jezp+9<pO2`2J-7u+b2D`UQl>ujc@HL`Pm<tv18U6{&SaH|O+Oc`Jhe
z+Ge!6{IMr@-Yt6QpO9wBU<0vKCGuZ*J1@5LdBi<z#3zs@4|(&HNpKk&zH70;gTmMx
z{68iQH4qXsgDpkqi7#CtLTO0l0B#=_y84^*TWo1+$q#irc8(wTzAL{tax}DV&~zfK
zYuNj-GCbRTWZ7y=*#cEC1YVmzNn(EECBiq$K=&%W$t9VxhDj4Q_lx)ar}H4oN3SyF
zYDAd-4&A-ByQC>+=g^F~9(P~nAXa+yN?`83SS@%me^pF72;E&PvvZ07r(cTDJdoZe
zk^$#|KyuaImvTiXFz}HMKosAg*O6?ige4Dy*m@E*4{qh?F6WN~0qZ$;m151V_5A52
z8-N5e8qXU1Kd!#QEvi50*G54^T0u%cKm?>41nKUjk*=k?RYatlrIGGhnk5vZVG);F
z7MAW<x>@e|z4zYd(f3a{=b7)!d}3x+cV}~*c)dZ@^s+AqNJ0k4fhiddoAM3sGwgV4
z{aj8#@J~S3(x$TVoBM<bdK__nE6g2k4LYj0CBhM)E`?m<NUs3^M|prOQtyhR|7B+?
zz;NILrct9`_uBnwxj{z#zh6t~$^a??FvOAYzGG{QZlQ(rz^0N_uOKK5-hlTA5DId(
zt3L&BJ$>boB}QwO8qwy_QQxNZa+@F~O6t|!!=*wjeH|8l5me7#;}^B1-}udJ)$95H
z8pT^?UYF>Mp?7~jaBo+%6{z=hUHY?*Ktj&AJh{VvYf&B(BwY}Y63vLP+p>%S*vB1Y
z*(;i>NxD7=1;SM%0k0<m5PK(3xh@8Ej=r04GC6dBFR+e-&9bjpaoXhd!GxH}9yvhL
zziD;dFidNF>M!20XeO%_WpNIG(<EhOCOKeQ-E8~q(;lHFcg1_23L2ii=;fxg96g>&
zd!y|)=xN9QT+9lgpNv3NDs#_PUw#-pZpV)X2(tlY8ZXtuXrp*X)!7z>2E$NOz_R=k
z$+;g$H<yx}^qX*wJl){f^1q3UrMZk_p~ip@j*`r+jChbDw-&b#fmgqOKPsK`*c7+p
z*OmuH7GL-uWbbjseEh!tam;K~mHD6G>X7`_(8<}tOwv>N1DL|gjf>Qe(PKqrKxP>P
z3SY`uUWtBrCTnKzn<f4%#;8sFdlFKN2d6N=3F!pR?nNx0E9blYgp2g+85u<=m-276
zoKDD*@!_Io`1oGHTKd}nC5X2m+$6_Lin$d-D5))fP^<B{?BNlBWqj^1*;%j(b2fS*
zJ>qNN_Spe}UY2ZtN05}Ub^F6pSqi`?ESoWA27l1u+9Pzu1Z*Kn8a#?I_XCg<0V)cx
zh0-^-1NL?4ujET#n<{vD%2y3r0=ynHyvVbgO<TIG6m69#XgOTMhGe)?&f8&13_z?I
z`BBgqZNOHP0lV0Je7WYPGiUOJ8$z@lOR3%~OJ>uh8st{c>cDT{BbL<HzT|zljS#+i
zTWC+%QA)e>Z+k(=&Y+%X<F5?3T_$&dIaSRla0Rdr!O{Rg?|`X~__^!;JP>8bgv1f0
z&+wUAVK9vyLmtmqZQ4M;X9te7kTu!j7+Mk8Dv74bq#hm6YBpHn11a*A8te!ktoI5k
zjKi53sIN)L#7z2jF~nM)sRbn@+urk`QLhab06H9){-+{>wfe~~@1V&8Jx!EG=1JS)
zlCqn5B7<|Z`tX%Md!=Pxo)AI2*k}fI;_qZ$U{PJIfe`=1mzU%u<b1e4&woFyLRucp
zHa7rk4^k1;D=GVn0YS7xxL=vRHunw6Mm^Z=^a?!Dj9X|$B7ev<n3p>-C?VlsXCzZd
z=cUYs1Iv$wkc#DMF3$y6TnqzVKP+B*tD%-v$(bGSQxPr<xyu?vgu}%Di?<&)D0F&I
zy~~QhTo4*odAm7#_gChW+~+!LhH43J?{9H?`LFwF7p7FeKi+RoDN#JTmzyv(B_H|r
z^`l2j)DpB_V19}NEH(=x$SAS6dwFDp*^zTN(a$c>CS#QLfU{^Pd+xOTe>OpjR5F;>
zC@iA21~NB3=)k~mtntVx4;*mh&!?$md8jzJ6{dal=aOUZYWQ>8O+MPe@q7`%RJGRp
z5vxjyhBCM6`wt~}6SJPXe-Kkjf<fg+f?Ta*qT3Tx=R_7y(9&_gSRZF0{ln9%;)XA=
z?{0UTFPC+iyXaJ|{Q0T-jV<^A(*4KWPx!!te!dE&M{}ZW`6;i{J#Do~H22&=kH8O*
zM^VGI8{8Wf>2UMOrZoFZ<yqou1{U^W&gP$I7Tt^;Y^n@<Ht~inh7KLX>AwdW9E^IX
ztO-u%D0ADVL;4=dH<Bz3ks2Ia?Vix&Ia?K}F9{u)um|s?k&uzLg|Wn~y<iRz1YN9S
zIk$s%b~cIyO|Ry)?AuUU9O>6T@mQP36ygH1^C5@f%!#rm|13z+qAS~?T&M)T)9!o`
z*z&M*NR^Xl6=Uh_`8M5zXrW85?;9o>E$q?+7U57nO-Q3R*yR{j%X1WKOVh-jr^h-$
z+7!O*LxY}(JtMMBB{|sUw4LSi3z|%5tWk=?ksv3N-gu3o^?`IeEosHz+c(#xs8voU
z5b*Gj+a0CU$0L9HC5rM5Oni7FRTje9oLkpOvdh-_X|%_{M+Z;Q%-9Oj?hvaiROL}L
zS(rm>veX<_Ci&7L#?;bED(qevSD%+6VR+dzdwR66+fvZJmyO}DFg)df70!Fc(d0qc
zsCtM-8WMhDkEVdsoJeUpfVfdUjW@a}mqFdID8^h#4)(1x?U3J@J0QlWEw#+SAC&^a
zBdIU0jr@=QT+3ZuK&8(2v>rwa!~V{o-#4EgEGlr;pPbem7M35U967oLOWlX=(sihj
za<@K99Q+m*9yD)f#R$nzQR3?>^ljdmZZs+Bh$7cyy#Zdb(VBD%5ByQXFlDT=Z%n-e
zbmu5GwT0>G9Kj!>gZn6FB}{(=TFf-|&YN$Ja*E=E=8&d_{BFnT(yUBL5?k=A8^VgQ
z3Fg%H7I8WIk2k!UN?3)NH7j)eF@s}Iv4DN^kt?0(%_6qlk#%LxvvIQNF$FMUrHtF1
zXQ&hz*+c*H*W;IIWuc?L#^$e<#pY^SRJu-7g1!7dhI^gg3#+yqO&MxHW@87(8RAos
zOW7(k?dL|-S7N3iUyMe73>q7UXt!=_`t)A-cvaV+Wxa@ZFg1)5fx3B0-Yr&1hv?eo
zdj!PASAzd?@BDAb$!eRsx8`P+1FBYMXOGs`g_S$aqV*-XL(cRaSrQBuTQpY0osVgM
zO&pv=H16NUMrTsH$(oQSJ#$@1g5}?o;Mmo_iwZ3hv}DZQePm=4`-TCdQOFv?efpI>
zK4oylBW^8YVfXcMCZ0SU274;nF)#iNoTcCa3Y3Rxy6z&qaD1ohsRwU&1p93&gF`G1
z6+68;;xz|e5A}5R#kImRZk$Ax=1=M3bOV~^ob31X>xeusb{P*)9(p9Tj>#ltwM8Cf
z>Jvy{)2zFJkJ-m8c@?*WV|U%Ydc3%5u34|shOeqN4n-0OWTz)~ajWXrP;?KynM$``
zc#uxcw>fdY2pTKJYeBnHE5#%15^P&?r2Sp;ctpeneyyS068s+<ele}&<3(gn!J^T@
zhO=dLN`~@HQrgQl2j#XMi?w|!J#TD<od0mK_{l56`&X>Eie+0Yrnwg8=_`^uMU5g_
zrrV87Iy6>pxw8UBD#I%U8Fp!odXeUuKRmrpgwVvTQm?bX_K9z<m`)qezq=tb75!b_
z2p&CYrJsK9eJfH{@q)*Q7rFyWDxbz{wFkMJz9Yzt^z$tjLN*MVZ{ZvE#YUEuvVjFH
z4|NGhzXr+wxu(1lVKnFMFg0K3PnT_tL=C8H3PB_gKHgp<HNtKS;fj8=DJjnjWM*yA
z1&RkPwB<unRSLY7$<r#q!rpp)yWqySv!h}n{BCJ6H;Z-Crgm87okn5#h3jC1_iN|4
zKPgKId10>~TSUjF3s65|C^}yn`^F_G!mp0;0A4&z)03TC;iuCNXdYX-Mf83C`>lQ~
zm9F<+<*Uo7_h0O%wCotEgiJp<p&s?w_Ko4?5pQY!U0Z&rb9D$JU_C#gs2V1vf(`mu
zu47}-=2l$-eB!Sx+{Mf+y&Qzf2I|A0OY!2bvaVh<o_cLqAb@R|YnCaL7KpvzpO8gH
zLAsZkqO5<o<|u#J7N<D}<w(EGzj-_xoFfuI#UBtTiE%*9Du;JWm~S*~`>N|MDzeiV
zGoo`AaiHCVCh>a4QOcYCS-ZX7Co+WAN9>I&F+~Pj89lS@(K+Y)3K0SCcCs0p8{YUP
zV=X$^oxFIRFgyZ|-ZDgWcaJw;$Eh<?=vaLrg|t;~XfSzMP?mgY9Gvo9(fa6_Vug9d
zuw?iCh3iMq<51$GDgPSHCA-QEk){OP_KICPaU+|j_x^tw{hvQKjvHh6Dg=@a|ML<H
z5p}|dmn04O1w6?FBVZM4o#b2vy7N)wIu~6aN|AOAU3+p6?*2LXDdonbYpq|gHSbMI
zM0089ps@CM;JA`}4ly4ZbUv2Q$cfV4Jx&-Bs%l0%TuAYSnoGpRmXro|lN8RkeW`dl
zV4+jnjzC@!p}Y@P2~CKs+T5EyJ)Uhi`II1jZPZ`hEB%w5)N<9dsSH;KHw>)ORC*4Q
zP%*7VP_<MKnxhy~#RL!+ChT3&+zyTHG*s$6aXp6kv5tySE%|%N!k)k=x=>L~LmARj
zSp$*O-#F-*{y5eH(iRI%6K~rfpRK0=9o{T)ZC`IsWll*sOK6AlZ*^-2@3BB)EH}?U
z?Lv<4u(e}_r@B-DOxbPGRTUAJiOxxX|F(~%?`@)2nm*7G)Gz^sl3$JwH(1oV3{swq
ztpq#nuN0d2@}s;ZQh7NQq$&E>g3^H>n|G*>Vt)~I@G6UNr)37k>Yv6M@=ITgP9v@R
z!+{o>k?}CNt*TanZzqu@48)pRPpv6HW;|E`I>56_;7ApstM3S67&y4z6w013vvbIt
z`F?_}^hFM-^tTy@>NM0F3Skjj0y`s^-lx`_>bg=2Zlv${yNXY{NHmci=t8#ix_FN@
zy+KdVVW@`vO&i_9EvgcQn6>235!Hm@nyU|tq3f>-;mU>;F3+bd>Wu~8*Y|}_$p$>y
zIFR@K!yQ=AV>z=c^6SKcQW#!mluCu$JDz3)-PZxS5JJLAHQ6qauol0IuQt!EK&&UT
z&<+&m>0%azjJn)nA>rRov{-T-WcVjuPFjO8%-{F5U}b_be!N3A=G%n%^rX3Bh3K-_
z&!ey4pT-9HS2BGO9TckUBcn?k{TweRDd74@IrR0uJzpzFkUaZZ(p<5VWQ+j|dy>D#
z#?&DWj_*zsG`KAmUo1VOO{{llahdCSsB)FNYWXZN?!}O`164TM?~Vc8cHGsh9ck6(
z-Qy6B&Hqd%P?Y_+-}dFzPR&}aKmQ5{LpyY~CBVoU>AZgE5WihD*VYZUtgyJ&<#Q>r
zKoq2=)A!50<s{azdd+t7iN!RJTKTCd`>HR~MS~YbqhR{!W%OfU5`Us|R{^-R?U%YU
z;T3e&g{Y`E8m`a$DrBvgIrv-nnvp!H8Bd@+=OKu+R9=w!5xdj_t59(PL_@{kS&hZ0
z!m3Q812|9#KYXO@e2?_sWe&Gm-+yL}w~ZrhZOF>-+y4M0x}+f-zZe_KbQL~j#$Kpk
zy=g=F8t&=tfp6}g?2Z;)IMYpo3MKbI6Z(B%@qcw$pMZDA3QwMwSQzq##btvuYwC@$
z*r}PPNlX+0p#SI{J09NdSQ@Rx;hEnY+1^NcF^)OdXSyHTcB1WAvWW8p3wjz-QD>yY
zww44sw<xT3XCG4>i0Ew{nX5e3ZEC&zz*zJR#pcb>^!gg&aP}Qq9?vdwd)vObd;dIk
z!raXIsM75OXw%@9>(P%R4<hGGdEYc1#Ltn1Doc2~6uv0(KS$5^S{pPr>pwXYYZDbG
zBzk3^g?@AL=#|yy{eIy?b3fmhNx>+TFiUQ#@@`S%wV74PjLyO(sGyTojPBBVd)@Og
zX55qaX2TumjDNLTS4veKw0pO_-uDmV`FDfccU(eoG_JM{TjSXh<%-Rmd_`y|H_U*N
zVQ_8q_8+o{lKPoH3KCJ&q*ZJ<yj?v8U%%#7A1$wi6rw#V##Yyb<<r1)KL>rtLpT*4
zL+p-+i)u@E_^)@CI(82=xjcg{5WY&jF-d>8vS*3A+h4wQ6U-*LtCBUBD@3@r*UoR@
zmN?zkS<!TrdK6XFG3GY}6yA=;JY%tP$g~wrQ09Vu_4+2MHoV}w)4;AV+q{4I+m%{B
znba{~eR=fp6aX&jjY3<xKr-YZrIb{32pg$quO%$ih24lXLAx>7b1i$LA_+gZi?w6M
z4X?(uwXZq7;OvB#{uoB%ZWY4jY(_pvSp_op`bYhe9hr~vwY6N1=X2yrp?ZUm)4+4;
zE%kP-eN>Bcz`yCw+#{0&wep#Q07ZGB#9GfQcQU*7LO*5&VZe3&4!L)$v!hFMY~U#s
zEvEf_rw_u2BmMMLC>|L)ldTx?wN)C@nyiOiYJU2$NkLJtGN<_mlWV$8ZtnPl)E7a~
z*ve+|+Qgw&_GP1-3w4ZL{|KyarFD!8oQ@$Vpf+xo{9N-c&*G2#NpO3#k+EW4?~CaB
zij449CkVe-)we@PZv`SD#JeEItn7WQrW{<f!|w;?!`gugveboQGehRG-Yw@$%f?hB
zHUpP=boA^i8;MqYeyk%s$SM@;U+R#)wU<4T#xX~O3oey=(%tOA&q<%P{bJXWSRW;S
zT#qtjJ2s}n(cE>>O*Q2fj!&Ubf7LbM?%`X9EOHGMtJ(q+9m9l>b#s&0qn$fOMXtCW
zzYrd{|7$myDf51Pal`uqi%EPO#}XF~Q9f}Q(`u+k)kscKIgWorQPonAfodWiW6leQ
zNZ?>#XSW`av(HQWe)aTcfp7a{swAKx=0BCAiXSbMFLz`!aZASsfcns|rjt`G0kR3$
zurEP~Ip#p$9niUhw)auq$c#Z&FVlSAAYGPUKx+;T1Xf_Ug(bH(lI$CioTDPZ*VRdC
zn0m@<**eDoMS@|R?w#9=2~<ZAT>9;(0-_!1IM*NTipVh$L+tMNs`pzth*S!FRUTAT
zc1crZWA}6AhuwTarBc#Lz;9U<x>RBo<9$YnLix4!SYGXc4S<3}2!G?57l;<Xj2l@{
z65bp^D2j3#%2KT+kew$qO~Sv>rHeRc@O_p2_Yu&Mp5VNaBOd|I{+@+S6DK>v&<0_G
z4N)Dcj-y}3Gi7K0%j?5$f!9BNoWJ)eS@ZLFwF$dePnP(Z6yKHwLM#Y|-m*EWn>D#e
zGy4!EUz#OR8Xc0G57qZqGVg<_)oyJhnT3<*yarM~zN>v6*kf+r5;rEKLt~j6k5skE
zQGSh0?KeB+)h8G~kPw)lNum>jR(yETpEP6UdXQpO2O`9<Z!fk_qagP~iX0Hj$?+oy
zdy51R`S?r(PE@=+h7)rvc;v{65};{q($^*8w~e)jrT8ZGmKMLw<xdT`yGJZSx9aX7
zdX7LzZFQS#b!_oExl!<_ETPd$q?4B)Kk&52MJngAsj5?FrBAI1L!%5TE_Y+1nd9EY
zFB=ioDv24Qy9TK*chT5Gy@aowsRlfmY$&5)^!}$fDV`=Z4`c9gf?KAqQYy8M+~^aQ
zILbL3aRCRb(CR_^Q3ah$@bifKpzx-!fAo&hMDk`R9mq2Ek5m$qI7gkKkTFL(<p`3}
zB4NV3`Fb|9-q2T2^?YcV?9H2+piUWmE04DF7LAjGGXG6WvGb#0dcPa_3b1+b`H_dA
zz$KK@JPW=Gu@M0}8)fkBlfc5mhOpgPBjX6P`R)^=vyJ0BenBT$U>x;U13SI$vks0}
z4}KQv^JQp)eMvsiEAtWS(_?|DQh_t1x)6<}!N`;~$D}QrWw?AG$8G*4NN0;g0T9>c
z*Oa#Gh(lp(*ODS9QrRE~+WcBhsGQDcvbyLL@pDR-1^1cO<8VFWZ(qEVUEgwwc5b=f
zRj{xL^v}jTEMWKI_3OQmO|tnom}ic=Lo4-X^lVwqY!g0n)_&M)XDIWvuvU7Bhx%qf
z)~P_tJe!N)7E?(Y6`pXhv%j5g*yE8XfK4fLYq-izU^{k9fSaG<aI`H>riK5nS;fG+
z&9ZoQ9oB+EDOdRx+eYyZuJvO|j2$nfp!_WkyE)V+laQ-ZH1ERmWz@>=5ASSS3OEhb
z10aefO2>e=S%)j=@Qjj6Su==p!zI<fgjai+Z7p%-CGX+MJr3Rht&hdWx<}N0ZAu5b
z`s{3fyh=XsXB%EKvKeddzkhJ^<cl50E}8C9&Rk5^2=%({WPgL`8d!)!5H|AUbdSLq
z_tc7&ZIEqY28kci*ty4{9oSHb=!bXcBccPDE~$&X(#1q9Cj{_?Vglas@lj;6OWz9~
zV98QQ+;ne7CQGT}a=yCVxT64yikN||_27Kz@)8j1&m!oh2j^Y6p0w_y{qjTzL;+xs
z0^-t$VGhcw8zU^(T!loy<7kDyEZ0@P=H8yPtW>4}3L$KUtoKI=IB>&KBIoy+!vFe>
zXlaZ4WqQK}MCc?#J7>?7h{!@w>M|WDb&LBIa;xcKaDcW3lXRbRH$jf?lnCt%43eUv
zv}v(9)4IRIrryB1-MI2`1#(|Hk+xQruQNMvrEu4%QJV>ML=8imALEQ1c4&xm{9k4d
z<o%ih04}DrR0jCFaHeM?Xol@;CgkhsoqBuG<V@<?ijm{(ozG39FT1*afcPC--r4zv
z=q&`yl!@r3kD>jiX<EM@#yg+%COD+QlL_E;_%j{EYPtCgI@x!c#?>?-{3SK?VZ}>n
ztrZdRbt_@^+o?|*^=r?GvJ6K*D2lcY)Cuq1C;x1)DTEIomu$wv%&B`pUHxkH6m=nA
z*z(b%QopzZLk1B&UmaWgEP|YR7Y7Jh$=eUCiU01rKYAgnab0uXrWZl`>J2Z@F<z7m
z!21)OLRBWP;lLY5L_2_?EA;hi_o4V3o|=qMYqbJHc_rx#!IcfvFD$h|+a!8)lJU)-
z{6DT6YoOX#&8cT%mwL7s@dB@O592bpIa3J84(4{#@OBgTIf#VDiG6SO4O#GwyOyR%
z)!fR6n!sU<)6$6;C=XmzzhFDAV1*jjR7L+9<b<z4@YI_YWp7J8a+0Z7Hr~V!s60;b
zlrPLQ23Tk4&cU_t&tF3}{;oW9FWp!<&K)c}2Y4FS;jtfKPfbxLTdtXdYD-)~l|JwH
z*PYF{<Xj!Jl&w^Xt8f{t*aHJ#(U<;P8O!Kdv~82WQ!F;W*r?GAHvK_%;0d=<_FLC;
zYN|U1slxK;dVowmg|w4_JOf>RQqlkY^VB@PC9WzNC*k@0w!hd%ok^I;23sJPoSb5n
zBYzvdoAQw}ep9H(m=m#5XR1a$0uBr#U|C_yZepw*75<HAZ@TDG<kSga+=VH%GRKqZ
zN9nN_{y%DAcH%+R`~Ny9zRV)tJsYiup7w&9!mF0$=`!i*K1i4)o|^X@d3gHBtA;N`
zF>|kFE8TYv^rz0xAk@MJq!r{b;sMGP!{ARztXw_}-mZtkx4uJ*O(H`I?B~!HZjFNu
z=W-2W&5wbK(B7v#aNBskeN>7eHl?Hq-Pld2QC?ji{i`Tu_T>5#i9y~{ng|6*83rCW
z^B>K#nY4`Ir@rUeq|D21Zp0MUS`UBaV@CUC2DThqkV?8RGX7P~8`%TUilNphpkB#B
z>(LHopzJt|3?G>@A;kOd|5vO5wanyHZLcNot~;Dy$pqVP*Q{G0*kdY~+&{etu^?3{
zCrfT3Pbv>7P2kU#p#-Obni=_Mm*-g-Ff$#)52}qF@x&>X7T;(W#`{4~1>?7e7@v!`
zX3Wl+=e@PAO4_Lc;>CApN&JiPie@J(TV#u+56HvVO`SurqJ2-T1C*#z{L57gN!g^v
zp>A=?BuZA%`)3Rx27uJ2ppPdD_F+5O!!9=hjZ<Z|=<iUH1pD(}Q~q)s_3HSIVEW*-
zFfz=ql@Dg&tqHAnc$?k=19~HDGKnZxc{g!>m--2$)*4S*l@D?|k})?Yq>mXzC;0xb
z+hH<CAk_zlCJM9PXrCbywe^(TCw-eAUIV#zZcx)$5O2w-zw!REH}(@KC#DhQmAL6;
zG)yD!;2YD%<epVwd=jA1GQnZxy1wu?z51~<coM^2v8>Vgwn;;`m1nkU<@`s`MvXmV
zZC=OL2I~Hwr+60h6=yh=FL4!-$2^n?mb+6%aLu3WBQTvQaiEq`G9DNy1Y<1^WLW{y
zuq)Vrf6W-)(G>K<x(YH34$7P?PntftjNuTu(P4ONebABQ_0#VMmx0JRNyV3VUSnP~
zv^LT)dww90eFe{C3^)P>My?fI%mVFr^V(cOL1oGt4gxia^;h_TvN$&f`3b%uuC?8h
z8;jmxNhXv)vQW`J0o=-GxpwqdBC{V`I&<8gE0~17LoS2ktHJ>lJ0gn&9x8MVD@Bp1
z!GBf4rny9Co5fg{eZi6=C)e284fwAu@WLJTCF+~FaGH5xsc!4lP!ZyA+3q!Knyl*t
zs<`VG1Av(&TVv<A%&PG?%0AnV(rC9-9KQGNA6wupEt+M%Va5s92#)3tB<io2laUT+
z6l#<fd2+cOR!<`p@5a~ot*&RddSUUxJN!@l`2)}o`FlYJzG!ri#ug{l#T9UzcFFL9
zj(`L8sT?LvgwZ*$<;y<}y0QW~`2;p!CxdH2?kJxahu!YB;rlSl%*Msg$JoXXMe*y^
zR`$UT-`I^z*U7@^gc<!L$&aWHRa8;8gF+|FZ4>n|*WUb^x-Z4geB%u;F1^wr>Lbco
zFcnu_Qx?VCXZ^66HG;Y<9j?{EhUv=H7Wk_{{M5)?`S>a3B`;IxpMyD_{PI80DA$t8
zsr9V&sx2O{*Ynd8_s88#gC_<x9W8G1(Ox+1Pg7C#nOc*uB_$L<g>}d5Qss8E$Gv+&
zD7?4+jmyWeRdtC6+O5Z-S08`=aRlpp9w_t0l|*wBU$N=v@Av&q8`_ek&%%&=2<&-(
z<|hVAACocAbQ1O(Q&@d&sqxIu#Dy2vcF3~nHg~hWg4`;70$Dgpf!#yU6-XL?e1>ad
ztfhR|<-NCDu+vAbDpW(xZ{#@PU{!+CJ>Q{*_DX<roIKcvwx)jy*$j|6b|Fv56#<pM
zXjjp=%8tl6cfRY>Qh@`fF|}S~f(r7GFIFih;?Jvjvp%ui-@?75p7#w%({PC333lVK
zIz67Eun0Gp+>-%adU(C%q@RIV4s22a-j>p+md-Xs&FW{QEXeEAuVNzhrGm&-RFJ<-
zV5?zP8AT=eODXxywzK1k7M1r7Ah(KITUeP-I>H&?Ds)?MFB5|pH4y5E2P~}+%pB6C
zumX-eAXI(yThU>3`QD|%LL;-<`WHFUALD;7t-Dp4uyO~u2pV3JZOk!ssk$jTAu0+C
zSN-wZh7?vk1W}-(rp=o()b|Mt854(;Ns`kEB?ekaA)?%Qk+r7a*f*0M&1^DY!J>hm
z+W_WXwL*9QzOu=)m|iJx)y@Rlx}(4WMyi3vwBqxH)Y?tOXw~rL3zCE~nH-G;SIOn;
zud7|#_bke6vOA18>T6aABSW~BcM9I_0SIww69~I*I%zRrr#n%ndq+cMbrb;2ar{uy
z=_e;D|H;`1ayWEdhcEU)?1<r`0dp1NxD0CbmkVcONjP1AHfLwp<6C9^mQQA4^338}
zZe&rvLq%+ZqBHVz5F?9(FAsV?-^}O%gaI#q+Qi7{p0Y~SR0v*~EE^fRuag1QM1?o$
zw}Z;~dgBI_#_-kF`(CG~Z(mA%QLk1c4N)m)>gIo3DfV|9s)c;}HK`;vE9x2NF4KP?
z->AG*;~vPeuYereY&rAbr=wtE#eOQo(avHOdu71B(HaJ(J3p#`cJvk|C<Ad8xvtO1
z$UYpLCjFJW#2Z2nI;LigLG#)&x?KyF0qGUEe?3>AbD-D>*Sk>7=ibw3^V&<XG+rK1
z<;gj(Tp`Xoyq!5&>IJYJo;=<qoyQma{3fH4i^|AS9DkP;^77DuE|n=|Az|gG!VwMu
z?4B9`Mh9vqpY<V-%YII!^jV`{z+WiH@RzmCd%a^|i(xFzY#1vOMg%$8^rkjAzzYdR
z(kkIkT<7e+$nrQ1DfagZ2lxe=Wp@Ommld4+lE~Sct{U8S2;pb~&@|-$O;~`Wsdk}x
zm?|YlfW9KN1-(J>HrF!sfm6%K7d|Qau2tqofB(N*<I;5P$*Pg!kGBuf`nabMqs#`U
zm(w&IsRnFs;v$%`b^A+1bL2wUx<s2<N)f~A1RQ>^(&?Mm5b5!7#k);S7ix9o;U@6@
z7FgEMDsxRUle+|~o=1G9m%Dx)HL>67#t5Dz$g24kr{;kwTNTsmz`pq)!uG)AG2&7=
zF*TRG?ye#)f-|aPSA&FX;EdA29uCJh%DZFauGf}PH^g3sS}#0(*(07WSnnbxUAEqV
zf-OqC46yDO)jb|IF*j2m-Y5~F@-||L2+b-VTC)$r%<f)2`Ld|l89vC?7`G>R)N{H3
zNbQq?C32?&+nMjota!xad(gkeiixOJJJ}yKb-GnZ?M$u+K|T$a_lyr2cdwqp4O2wL
zDYB`RwTuXyd~9ppKixb5G{Ezu>}8|1Pr#Cp6MXZnEwe2?gYW)fNf|FI1+*R-GZ%Tz
z`~72)D~(=hCGrz1J58ZvR79NT>G#jjrUMM0a&w;G!Lv%T__8he8l!zx17+thHpn8o
z5!BeqRk4xgv8^Q~<<M_Kxo^$SD`O5t(15&u)ry@D@kN#&PL)_DEgQw}K^bpIf>cY7
zNvMtY=UxLerOGi{?TJWH)XPjW@b%T+frMsEW<~a_aarH482MGCCu@9U3L9f#<toW2
zI%4c7oPPJnn<aO860rkPtqDV|G+gaJ4*N=zVcT{dz#O~0I~!t4S96~))w5q7*oBAr
z_8XySPTeL-gIp8VL0Mj{yQ7kjbXb22213&Fp*#gGfIhkV=5lRgo;;0M8PyV*M*Nim
zvfowfU?TSLo1=+Xvo?RyqIWl4?fYjsFaIq6pb?G&T2$dSvWl^Ws$Q}nEY;;J!fu%T
zW+sCc<2w`Kmzpm_6RrLZ)ncKn_AsgzZ%HQPjVoNAqj95kBIokGVY`x>kw(QF8|gu(
zy#CkDWa+$J1v)rZ@O1IhI!7|*jCnTgD?6QjB=?N_`Lc3r-bl%5N{C0JaiRCnU|bm>
zs8e`dRwfR8yirpMZN1FOnf_sm-f&+!sC0l#)~#g(U&0*V>AOk(X&lw}3V6sNI+N#7
zWZhbP9Awn+UfhHgganfx=Qwfu)I49%8$B@rkER~!tlwC__w=Qk<aC+**vVmE_8C|b
zp{P%WE3=q~wWGfiW|RUVvBcvkdm)p=>~*FRQe5I`#UN&+!bgU?5#r=%tHPsxU0GYu
zfcU<_m36bKL(54Vu4(H;%lR`nlQrmLIw3!4BH6;&ieIqs2r%1n9)~LT0-&tDRBGSv
z;YVY;M(yo~;7{%{hLOdoUL}i66o3Cou<0L3eg*^f(_2<eLL1Z@q{{wxPSr+UU+3bD
zz;EtfY^2{%v&$U!HpaZT%j6N?wzC+=<h01pMymNT7*y;%V%!VBVGnAU3SZn{jGuQ`
z%pFqkr+ZG)i96UXarJvG0*uWUbFLdrDh)fk4K=b2d@rt5PL`)zVvlo{b*OXt@KzM>
zP2v7Dx`zrRYx+%#+#JzI(l-mwvOzEeC8JF<OY;3c_Ji`0aRP&jk@&2X6C19CY^Z0E
zQ9HY$P(UuhDH;_XWjZnCAWZXPuC%Mq+wcEKgwM*&AM{WSR8<zD%s!53d2B5S>2}QB
zYJdX!MkiPG*A9m7Za<Zr3G??0{A}c9XUG;LGH%GBcZ_bZpEK0%2njD4_n49RXYs@M
zx8JY6$kk*N^@7f|ZW>KC3mRl%&WQ;&6xhgPM1AtKuJW+GYPvulq=VPrQNhG6RmIm=
zfe+n4Wm~QL>^2ry7*V^Nudke*VA<OmqhMZ0H3N!*iQk5|+Ilde=_|8dt_{TCkn&{&
zP_U~B1Sl<8g`fMJR`v`1KHjzte1(-f9+oq&e9)AVPSXG2Ncuvtg(uzCZsMfQuAm{)
zdKds|6}2TyzDC}XgSfPJQiDM8h?hpGU)y-F^a@f<UUwCa=DUe0iX_}}`-R1R7`Trg
ztqx1~A4zJg(Knheh+@sbR`Tebe1EG;kJQeLCH4IVy8}0<S@d>P;k*gWw^CuIjq_DS
zBM)FBE_+vHtySjacKeb6ix^p%ez~(JTiKc3KPhiM`=_)#bRBIFzG<P^X2E+zJq{c8
z3y7BGpm|fpG~sIN?R`U<>{hbU8qe~ph@7d8S~1w7Iq-CF+=D{MI3W$NJK=HcVs;w%
z2TpvEO0%%|0HDyxJRc-Ucxa4%SxzdC|K^m%`pmYe6A=(}fui5~Azv|8cwC3=wx8@z
zUR9LMZlyCQb{=PYkFL0*gV*Vtxf;0ng~Bk~dagk6)A`%Wm)GCu>TL~&Jyi0PvedW&
zlNpUhL-c)S-3EWi7<=nWzpA~k_<RuFHBh(HVz^|7M2|00!8&>8il?j(Upx{_F>KqH
zzw|h5V5d*l<LrP1$l{n2Z)-CeB|%P-^OwVE#m-;NRZ`rdHk_|SOD#`TWKF|Y^{t6v
zS{rTAC$}dPCi_87nguA8Upu&c|Ex&@P~J^!*|%)B=OckSo~I4`3dz^lyeLQDSPQN=
zZbb#&T_=i;BP`xhbKOAi;YPZwpP#V1HCuE$0{lT*VpCsz_*Z)ePwku&!l%NwQE#ng
zQgPz0=*}U>Zkdoe;q_O8J1&3XY+$BK%5T=>c@jf?J*Y#0_bF(NT&dsQs$mnkiN2P9
zCe7VV;&`|CffR%AY{ySwc@SPd<lF-2@S{U0Er>gOx^&jSrr-MJs()hx9X21c|LD3D
zR`*m*fWw{=;=-QJ{8vefYI??9ugZ-1B!I1q%754y*>3F8^5@sa#<%P$U7k0>(!836
z8`}xON|s;SeNphHQPvUp>{lBK;e@``^9?+hu@LV^sL;b6)I?y7vv(E_VO6fVg9gK7
z-=kg-iTs_%zHc(8!sWmh2G|;p`Fynb+^oZ;RKxCp{?$*s?JB_OQBTVw%iMZ%r+ay%
zd927}0Q{KXOqi&Qz-QCdOi=dI)L^%iO`sNr6X0R-p<!#>22akm0bwAw3nGhoS#W+W
z`;fUK%m%*Nm$8Ls!r=1T0sTJ=;N7;9W^w{43D2)EFAyHXar;1*ritknnryxamc<W@
z9n~#aFVbo3|8u}KV>7gucqRl5qWxD0m>Dp*KI&RO<7axLyIcw0oO!+9)!&`6q%<F>
zd+LMaJ}I-dH~cD8G#WSz(<3G2Sjd{`SBpO(Z<tZ!=10O&nW1)u`LPp1=@%IMN1PC)
z_Wl0qr*X~xh7xgJU3CUT(D5B9iw~ZA!Q6oM9O~Izv7I}@E)%yba2$-_{kF^9pZNK2
zV&T>;Ejq(2T2U9aMsM4e>^B8a%TvK#71i{%4*MO<^4{<}^fiQ#u4S^lEhoVtDxUF*
zd5??S`Yv-KEnnYH-S5~8Jxl|i+?dM@GfMcPC98e*t^A`Kt!{#QS1{xY_#1cQ%F=vT
zaJH>z{v`(Eu`UXT4;Kq7V4bGTi3HYWt-=&vJvAtEZ~2{H?$sqeNkD&?a64$>+zUTm
zdeFWe@W)J7zCS4=@{wdI<)>gC$2h`qWeA+4pZ?jY=Gu9&IlfnIIf%~z0v5uZXR=^=
z5|T@PCL6ftnP8t@oJE$vks2u5DY$6spR=S7{)Wm<DzQ(m9Ld}Zp3cJ3gA0+eEu?sS
z-c;L%Hyg`z6;jG`AWQ&@nUD^i{4p#9=l&imXhoIh?{K??iPh}~z`(|D|7r=o4N(i>
z3dr!~b%Qil_8+nBDnm~tXAZk=ap(HOy>rou-uwjRKh7MF*2l^e>4&iHKAYia`eh?L
za?G3PPYJ3)#=3A;Gw)g-qHiENv;+RY17og3Y`j&(azqKX!yBA99e{l(OjDmVv3JGn
z^_yv;I1oZ9&40ej8u-v4^Ccq~Z;dxS^PGHc=MaS~sYojSPhCTNfNefv9zza<@Qo|8
zEc1>2)_1w@jHdx$4JoZ?L%?vQ3seHnSxTj$SP*|@k3fXzcvLrYkoM6;UZ2=poP$d6
z*GUXi_C&IME%En$$kSFNw*ivcc%01`*P4vxk9SQipx{xRsd!OdW(f*URrI(!YeU#i
zMR3KsFakt@|18qJrF~!TA>O|1h&91cohEg8$NOFn^m9ws`s%uPRSxo}R9E8jfT1ju
z;|0QJJCwr%d*o{xWso~XTN}0en=um*lK@)ki#&p+^=SF{O5xLq-k?jU73XpKlyNob
z_s_HbzMBgVRd@KF`%~$+YxS5(v_Ja;j&n9`^nX(5BBpbfRZzNkXWIqa?R5#G5~|YP
zvaN7?-XNHcpDlb>9`_8Np(sS>nFilt(74@Lh(h6+Bkz=&W;hqb5Sb@3S|m8C1vrKd
zsR)=ypF$*Llh(fq7);M22QB733=?=&O6Mw;&QX4TF=c4<uc2>}9H1@7q;En?+T6{S
zsxFfiZoKd=aM<qAbX`1>)A^v6U%^w9P2&!iPyH7!gitRC|L?%kdc5g9T)-W|s9^MJ
z&XEgn=59m)mR;y+v%B$@W0m$Z#i}5;+C`eCO}bHss2GM*p#q3o37CD9xCQ8*jvNnz
zd*`Y<G}0UcH#X9Bz1HJxW()3t`iB|<79#d!9P|_ly@go2Z3U<)5&NXBfRz~}XD>iD
zwAwTlZ%}%MgI+AJEK*1VN%{vRV-x31?z`KE{+tA!ys+r%4!e2OV0B}WxpN?wT6lj&
z(~ri2hYqD8XhSLCT%~Bn+?h6EMrGqlx95OZ;dh<=q^F0k!yn-v_QBy|P0qi?tqEeh
z2sRySiloVQu+)6>0tRgST*Se`1*DL@PgqNdeYBp7^9Sl7khv}t(y?b)M;s6THR8eU
zFHNAo9SFDH)zftv_2+9UB?VY-XN&$+^o`MDN~d5**J%jwJ$&;g<>o#!2jn&0A;Wd7
zj)BrJ^O9sfY=38myt`Y8vpG!@zz+4N*=DLxiB~HsP#e+05qgOHvw;HabvCgUJ^1Hu
zD9an@aThA}{S4AUXkNTDkCJW3MCqhrncvU@VA$8Zvo1VAuJUvPhfW_0>is`E#&3xC
z7gnKXU(aOv`3X6Sz8oxyC4b)^^}u)!#+<&{vs!1N;x0v}+~9Q~l<F)DFeuc3`}-j?
zrDXNR6aRrbGj78t)^3x+ZoxYo@u~JIe6>4RKYGbKPnan+T(y6Sji+$&mP^Sb$_Y?6
za|ugjchs(!8<Wn`rswv5J7X_BWBIrBqLJjRzCWJ-KIdnvO^oOhv8MMwtBtpev)^NC
zFc?n}A7T@FbNv-@H;)9eT}6r>4+_+;X#!=@ont5xJ=YEMN?`3SAQ$hgxXZ-i0&1uc
zj|-i&f7BysNT*<NcxDt}PnSsIvT2E{C=zE7CK}}YW3Fb<9*Gg3rd3yPQ{DSxx4&<v
zLa6Yvm`Li;L80~ftEeLJks7y*%xRjziXf5MQWvV}l^T~*N3AB|yDPd@%&i@HP(3u6
zCT(Y`?0Npt9ISS!&N3ab2RZBwrT%(@Y7GBES~^G7Bz&}h>;kM*sElETMc5PHUL47N
zo90T8g(K+d$K3N!Ia+xY<CA^I-cG=%Rx@(bs~LLU-RHi8N-qm307r{#*b)4*{uF4m
z28^}WXhq|Dj=Bbssuurous_k}QBWfc=ZJV4N8P+a(6pVkN843`0BOFJTSTUbys+gK
zpa7ZegaV!Ga1phrUv*V4z?9Vg*S{jvUl+27kk9KOb9bLEwUQG04p593XZd+LbyOK)
z_-NK`t=DJ`=l}o@U`W}Z2wd=+csp8&-Pz8?gTio)lObYPOqSJLhVZNdO_pPY8wH@&
zQ>RcpNxal0fAu-cD>Hw7t^%wQwrnvSt(sg9;=}tNuF?{{%5!yI?(>$6ee%F@Vv*me
zn!lMieaa838HMOG?xsw}kEZ-%V@Mj^?Womlu#tzAU3w>TP;>TJIJ~V*wwcdiYNhbS
zBikt^NrtJLN7Z-}3Y;NI|Byq)l4n&-{YoXbcoI~vj)WZd1UDJCZg;%js#%|1UBC$*
zOkB>8v0Ccrw4>`McJB}OTS6ItZ+So&pW&%}JoL5O?GC=4ebP3$Uo$h!tbV;~oNey8
zVX)8IA~&~^*_Q-h#>+0%o}(+o<>i%U1NbCk$?J}s1CwL3?KN;tq-5K}ZHu*-Wb@4)
zMkapt{9eIK*BW5Rh1af9F%j4c5d?WpjEVaRKfSTnqj~%)kdgfJoFXz`wsKEK&eY`F
z!}`;KYt;X6l58|tTm=4?q{E7?r5SZsWnS|;{o4VZ1MXW%ngCUSQmq>kEHU)~=%gOU
ze%pPTT+yYQAn}tMvHlIU3@W2Bmtp0SF%^2FEm5n>kB9vu`;oqlkM74*VL#jb^9GA$
zzW9N@a9iW`uSiaNDE{$%BZPc;htf}SO}c}DrFBcq`-bE9yEwMAukO1@(TY(0$by`#
z$F}bj7tTko+v)L*4ch!u47?lwV<SNJ4@8AZvJI>fMm95gpC*TmXF%&NoU2BDt{6qY
z&8r~box7F2POFOQKOO}(6mnURhDJ4ZCc?b9JAH3Xe<`?>SZ{N0vO|W1^WOuFqnMDx
zMu!(uA5~u7z8v#&(*Cwh^E)iV9W*?vcnqVsF%HaPqzc&M2$&aeQbP^_czDV;Hn+bE
zvFrof+IiGH4y?R(YyZZQ$+=YHK?A#n9J0jM&#^V5W0=o7@^H-AUjqzG=`5Y7969`t
znFSE~)Ejm&HQmNDgI57A6)9x4)MEngG&pt{{!Z&3H}g^kRtH4mHvo^~n9neNd_@iL
zu=D`l!KB@|j|5o#7yppH;tHqIml+AIK3iV%9_$95>hbS_r4ckU>v=)V)HfYF;QVl#
zyDpOfP;3KN#t1m9k%|)&34=3ju%6XL2#*G5<15zY<=ROXgCHgY>g=;=$^xCXF)QG#
z&9bscx?=0H@#Xl7`vFyC$;o&Y8x?2P4=nrI3=B8%4L=n5bm?u$8rSxW8*YIw%vL9C
z{DsPuVwe*;Msa0{DP7v<Pe1v?`fcR3W6=637wcm=fYSkBZa?{XokgmFxYDceMH?+<
z@e@luMxqGDnjS9)?(mFxQizG5CT@1By@U2wmr(&c{T0yh^)ah#=MSDKY$~4f$Hv02
zMgAsKp{AxCfdGtpg*0bR!~NF3r%H;&fOt#vQ(<}~9ybioi_78@w8$rC!mC-c1}qE{
z-b5_-dDoUmZ+>X2ByY_>4%%x)n~(P=JJHB;pZ_{`a^#aEYwLwmdq8a=lV-rrI07ao
z@H|-s53T@q@?|hYRCE9C?T)+4x7ZljYNN=VmL@*2H^@y1HZ`K)WMSs>%L)83>s9AG
zVI2OS)E@{WnZH^%2FMCR;p_11Zc+1W+kysF__TO3ASgpUeP2~QC?4hIDwP_)m{cw_
zs!@+(X~%GY$)xyqZA4s|_-aPH@*4)v7M>5T0IVJ=>I<-F;C_6^0Xq45a&i|x(0w|8
zgA2-n-W92v9p9#+QCpcm8*^^{1R=+Ue_su!Id*E|ra`+*=&ym1J`=5j%5hWxa*;QY
zUGytVA(`WIS0%shxcxcp@A&&}miR{SD!ZEm6QPu-VT@o6>9$zCycUDO?M0oj-*mY6
zeTQ<IZ`nqlha8B>h0I1?P<qS97R>eButVJtqu#nq>2=hIsH&>kQNZQ&N~6l>sy^zv
z-)AdQZTClVfxl!$tRnj{V(WhI5BYZR8yF1GdVNe{mPQYeybY>^;XwsV5ka@1wnTw4
zF66Q@nNsnyCaapDj`R58Srz2Kic#>YRD#GT)0pVOIKD*xbsMvNlNo(%2763LpDJ~f
z>XQ-W?R}~$w+5Sxo{^V#!O?uVwMzxnmRVCnY;D|~XyIq+QycYwZ<fN?q|AjPdUn^!
z?`s*4Lpo(Fzazu<bo{ALm=mh;rnDRPmZXaD2b*S1dyZ!Rfb5U2O=}I*NV?-cHNI=E
z0(h$RCSL{CdVtyEb&lGI=x<kA;Pk=^57%|wrzJfBEtR|$TP`HgSsyp~1O64Cii2}S
zrQg53E_}X((sf$TRRQ=Bl?Glp&k9*B$|B~d=jh@JT)l<}cRpZ{ud|;O|8h!b)UO;i
zA~>aioZCqW^7J~tQSN#N!vB_F<Zm6GU^FxRGrMSKe@Zv6s6qm|eKZZ|DKr@}g03D6
zglw{xI{F(Z*L&o7l6BhB#{0{X42DE@UY9ZIag~G4j*FXCKK#`z38{*?nhcnOps(b)
zI2_GWWm6=Rp1i;;l`=#qL>TsZWtOOaBQB($kdY`Fu`pFN=susREG%kuqHT`B_?}!4
z!WeQw{*I$trO8lc`4!(S7Bp0rUDD(%cfx$sR|(bzKwj6QOa|G_me;1vQ7p>g4=&CE
zMN=f#O(_9y^oqZRz@=Cl3vXZHU2GnpRqlXPYSbN^|FhSi9V}z8^Y<OG%CWvr_8rSQ
z)7forS9kBd&fb2K?UcxZfB~7(d7@=5i09<$w(u-7Z6;hVpA+QU{-qUWtmC1X3&{X%
zd5?#2C`DIQXOfN9wgHF;M=rkDq|zCSMGxTl8^oxyTShZ8j5$8(UA^PD3^zPWK$}xc
z0x4`^#@pmw7_Lv_)im@I|M%iM*Wb9F8-AOr^4ZEDftS1R-ayK1N6zzt4-*zwwyU&@
zmqNz~X>0u6$oH;4F|J(NH8+aM3|QMfMQWyog0-!YjO8D<{uvC=qL+*#$<qAuDo{Qm
zxoywzyRjpppX@zG{iJEc>1M-2qzmR{8`??qTm|p#*%cY|U<JV=R?s&we!Lvz<W$2s
z!(z}&_L&N#vL&ihfhs(0uw^WR+dt{;1ivjA6)2jZ(z#-OXUSa1)yxQ7t=bC_M<`e|
zfS+6leTnh{I0g>9<vmjVyYpjZ0%i9PHp+aqUuFvyp+`CS!~tb63hDttL1)Je*LZ{+
zy$5zjIV%sNomrX3&~x}XjmZH`lEtJiInwVhb;AKM-a+O4=`U^9hS!w4vp=fvC(Wp3
zn?yEKx956R{D5AJ&ojdo#wD!fijm<L4k-(hb2jzW3WIv|VSN_1P}^PhhQlxszD$cr
z*zjpkM*kke?a?K*ed2#0;tyEy17loc6_*=Y?R|J#O2IADs^jmNV)Xk5Xk@QR#HMNk
zH!2F#Z=6LNWA`L{`GLjU(yrA4Iv~m5Vu2CgDi5_veFX*@(k;&YMI+5%3)@&_^BP+G
z4{?;m+MrjyQH{)tm5)4g&+laK96_bcOz{9iIKKioGZMOzI9#NafSJ>5<$@h#`$W)l
z?Q9qvVfM!*4=g22-AK|1whFoc%8?bt!%l?nFxmEU2|{AbevnM>pR<R}`W8pP9H*v{
z<ckzXCPY(Gk7fgXgQ`tCqZ4LqHE}f_PRSU@!|4G?>Yn6`+-`TlibmFm^L6E%&G25r
z0t(UA+jJTnzdyhD4+w1Vc|N4^EB7r?UaKJxYwF5lAcJh|R*`W1bD{nFYq~faHi(X9
z$YEIh%%W=58iCP&epWBP3g6P@+8J!1u0@w?f~~%HAd5!R_Y)PJ3+B@Me6(N-<4O)(
zuft8>P2@=bdr0)Uh2~*M9$>XeXxQS7__lgCu=kp#LtWb={v`Pe&C~Gn<Pen_f3v-x
zR8%Xu22YNti5qX<Gr!$}Pha%Sd3F4lAx2wP!7YRZht}e(IeWOK3UM?Ofea9(+U9Xu
zZ@{z9KTac2E9@gqoBBQZ<)fUCQ>&0e7KXkbIz_?qXqWpo<7U$;dP4fi3~{4B-7Z>t
zt(ai|Co#%F%w#Ozf9vuGFb-u%{>rwg$I>0&<Qd~W1WR0MBA_01SXSA!e3Uu$3w@Xk
z9l0q&RI~<8j!|tFus^V~(_IF=^lS#b4$S>0ft}%(-FIE8tSo9$NT&_`U@A{>ggKa^
z0G4B0*u^SafAt@n>FYYtGXF9@7sz^ZUKX{|`f{22r-IllWlQmKir7ZO&at4oahZ;t
z`Q5Ulq04~(hHF;7flNc-FA3c2YYlZXQt;vfj2n2)V|akRV~ot3WI2d&*s}in1W!T^
zb--|v40CJMnbC8Rcfz8l+ku)fMy#l*$Bu4%wiz;%5U=3<e%HHTJyC{J8#CX8?T6U5
z$V9W$Zt>u-)HtcJKqJ7Un#P`YoMz3V;wB;8k5`InDIW<BDs@WAppI1DKJl;t7_@^_
zUZyngq~%G`f=0hnb6umIXe)hKNkcorBlGJHdtTosuOqMhkj&LdUtaw7MeFB((=;Ew
z^jOq}pw9Qhqh~ofunK*|esIC5rG*jkfD;*A@1~NXYKgDH0nl^Cqfd_1s(fExHu0vb
zDl_!}B;M?r&=Iv;8+g@cvcb218XaVZ?Y>Srh+XZYsVLpKpO0}glJWuam*_m^gQE0S
z&EuK2pJaauUn_Zbvj0xY=??bL@ac0mQ5!i03>nIRU!=D(Y1$iH<<eNSbaIul_XR3j
zL&qbfeyFcQ`4jW;;V*V_%mWg3jOTNE;dG?T$4eji<$_yl{Rd?OL=Jj8mQ|LQ2$F1Y
z$qo<Lt$ur-hSEoXE<E7<esRjoJB{&u*1&m8^n2##9#4+#iY2DbYQSco;_LPkYbSCb
zpQ7()6M?QYsQx)+^KtX@mq!czjLn|=yD{AOMD;<`+YW%;_<A-Ppa9Pu!?Y9kukjuR
zB;QD8DV2-OVC==G{J!A9cuLK{JJ(FvS1(M0MH)j0pBM((OD&Q@9wHMKbk)j<*)f2T
zKv8ww|0_-r=<058klcn0`N{vG?yaNZPPVqu0Kp-I0Kozw5D3~>qd|fOch?||yF0<%
z-QC^YEkJO05AN=_$xP<VoHO5h=B~TeUGMh?G+kZk)ZSI~tLJ(4t}20r4OoZZQbq7y
z8=2l6uuxZnG8AMyipJ#yPsW`d6ihxM!Di61lDBK58L?68q7&;w|ELo`&9PyeHW>0g
zyZxBVb{R2k+4L~;W&vg1n5hM~=xXGiXFPMO)4QIkyY1shPqbc8|2L==W7d%SkyBF&
z7w*5#my}PMV>=FXQTBGNOW-45z}rq&gd)h^WY|qty$NJ{gz`jh4i{!Itp{g@=n<3C
znM4+ym&X~~x@_3r{6Ix%73nAdhlJnda?cIC4!0aS@H5k~x!6A$bzeCt-Z?40%7K1-
z&gwPu9891-ZsiO^G1}tDTN>wRggk!xV#G~q*w%UGD`gETRDLPDvEHn7c=arSgi$fr
zusq+<#NrA@D0snQk&f8tbVnP!^MU~YHKZ$d&2}Suy&((jeC72`$5{T&ZPZK}%22gF
zt1<`qf-U$t?%(|9;r{H|qarv-vk*%4Jlxv0MwC=k<%<$}T!*HQzw5UhALJ<^x5UQ#
z5kv4kwDJBQ{E7@mj6%@|!_W*7iu+8wAv>@65=BAVj2BKeDJgwVNhMYI<SjbFS>qml
zd{RwE3BXbDCBWWp+L`siBC+8nSfft6?nMO=rD5uSpZK~p0kT|4+L~Jwgy>3VtD#(j
z5kjDz6RlNe+O6K}b(;Zab%=mfAqGIaUeFkU_!)G*y-UOx$SbD2ZB5$tN6$`^&BY2Q
z^Mul&&XmJg)YimAqI=<A%)3I-6g^KRuIB;g;T6bnH0JaaM;K4KMW`qV`4%fw;|6*@
z686{0uvsoGS0HM{Ad}!u!}Qwd*K<l+T<LuIK0jNy9v-J@z#^{n7&0@>(V}`-?aa+2
zuV97W0Nfgi9Op49^q6W8>irP|)*feW#Tmgd&6@3w3X-6)+QYlDwrSo}?H$SjpLf%C
z6v$H=MCy0v!jj1i4VT}J<`u5RxuF(fOUhZrgX+h?_q2nzCM+&yR3)vC6kEcB16Mg!
zLb{BZM(FGT8Mw0Pj(7X39G<GL7W&S&MfDY%uvT=QE*w{md_<8Pvcy0DnP^*DS%5T*
zpZ+q{G(e!GC7>aA`h$*vh4GI<y59>~n3(@4qyN2(nT3vq;a^pOzZbKy5m1YOOmwaE
z2xu9=Wl{vx{Q5>#APexTk%kqB7o=sX4I<#+K={1@c8TD-(}kdDUp8%0{D6%g6bToE
zBCK4X+7eYbB1q13P|A9EY>P3Go5ToP30nu9EH<hnzRX~>?&aGCSz*d-h@1&ICvS%>
za=9Oc7w%a(cnFugiS0PE<M^cI$b?}1_5ecmoCNb7!znGcakzcLzUSh+hS{7nX<Vef
zovK*Y2pguGnG6oUL%qh2=UAa`coH}lHABGp1{b|SL-nd<(FAI0=l(v%TNOfdV&??>
zuS62tFSgv!SPfz*uZqnPJZ*x53Oqc}3@IStAmO}YoaZ_|2k*P2_1wFz2wl8BDKYyP
zUMuvW?L$*{zw3j3?4uPb`y-Y{KJ`?(<;{Qg1M?qlL?9rbmI7ItT3cv=ED4^xF7;F-
zV{Zl`pq9|k1wFkJ1!?PRaGTl@DARx|Fw)WyFtO07K7GPtVQTibA8;FiK-z!%iHwE5
z@!x(Rp<w|su_AaHB0t-}V`^drF0dq^ed={71aN2mF+867{I_vL_eUAi?`2P8Lsm+V
zfK<=Q%8ZqoT1!Jm2L#XrSr~$hK=wBJmine908<NHYBB_B>EEh?zxvk*{g-Qgd4bEs
z#MBC0)mqc)r&mPuO$-shPSdg?P$r<KVFu8G9Rg%w0x&Z%6EM&*0$7+>2pGWSEOc}P
zstD9P;A&5Pqj`G6ZEB$n9;JUO;Ub`YYPl2wwEzLNAi|TGzqf_%>EAqA`R^8Kn`&7C
zOl<VQy#mlOHKx`Efy|6R8Wtw{Cc4zxx^~q1CfXo7fS#4H(cjrf_iGkDeeZ8Q{Xg1B
z3#13I0GSDZw9EiTu#NN#Gyo<VAOVn$1;F$VZTxA=-`V(U^8aZ@)BPNV|9wU$DfSo7
zGa@Yv$zQ>)3XJ2z!NhK+H$Y-;rElfyh4V=hTtD)W`9<mp)7yrtU{y1`?%EtlJGoEA
z^m2WBLiJwZ;lbw0<qEHaRn41gVueHdZ09t#T^axOc*D%)qf=u7dQ4@b^MO>Azpw&N
zxe(cYbd70$O3Kl8_msJyMlTU&R_n^Wg9-;$lFvAHiEz`d0w*mg>=Cv}PfK*o(u<m!
zr1IBt%0T6KAq_tdAs5k?uO1K!!`r)}dML&xT8Fc;DX=%xmHNFWKBMa<CQ<c~=v=BC
zbEo8fBoA%M>bi>Ren!o67~L&l9&vPV+C)A#2`gYIQ>%C8Qr;ZhEqE$4o$5X905?fx
zfV^y!Kl1Pl;_VxlKF<kIocZ<f&<QplGYE6d{%9_obN}#h@^W~o|8n(y_oQcqQ-)u-
z#C@h#mP${4bOvi{5Gj(I#bL(p@(p`qN-x*-45P<e+{vl|nCwd0Bk;cHoM;v6<O#^s
zPS!M>huUTTlpSAqpg&q<8nv`@^mZ;`(B`fT@;8>tV-pN-A@BtO^Eg35y>?9f2ju1c
zd4x2yg$n`@=%^4y)n8A}5O6m5zH3CstluRez|d^U4$^bVckh*t*G|Oepyg)>)nS!)
zN^JAi7s~*c94?z8Pv+&MyxGi3me#}jmJBUbth@+?=~eHQET7pk@bKB?^W}Ji3Kf74
zDr)&KdPmaCxgta!l{KA8kKNj>(rKC;SZihN?;nHU#|Oloi`f!e!->I8AInEVurABe
zFFP5J8I@N$kmHjp2tl+HQxAr@E%-jk?f+rJg!|n|T60BBKpj(fJK&47bjl1Ho+D%$
zSAk$Ep8E&_#DHI&x8rMyDuW{0vczPZBx3+1%e<s#=xdlD{<(DWoaMZXLrU&v)R_cD
z;G;IDxT}mml!%lcDVH`KfZmr)65v8h))>ru2t3kk`z$Q@oWU&~oPmN@&~q#b><Oq%
z>91ygALlW$)U0$~VdnYK_ypSv^{v_GD(s-dAnLR*QNtq=qS~Y#U@EH1+SwSq!6zay
zXhs@&<mdI9!%A*MA6Dd#0rV}Uq3kadEhgWy!w|J@%f>uMbTH}icxeR>u@*W!(#96r
zDr;|F{3zYBzC@Gr%=wvaU)E`?@S;Y10lLR-Lc6RCR$W=<K0X@pU7|xS^Zi88(2&M#
zZUqH22J82zx<)@Utm_6?V$=nNS20C7@&0sB%WZUt&VJnh$O0z2nd7Qnf<~WREwt?A
z9|FagUtix|8mm%Utz1&=pfMh2e}JOjs|jR+vW64Dqo;*T`SIWkYw^6BfC%X-YD$``
zqEf_Mq~Ee;Oa78-ou~Kp>y;eCPZG+Dr>ogebfA<|d@&at>2O)_xrd+3^_8dX%S9pD
zZ9gF-4>w6W*2<Kt6S$khytT3(4x#R>vYtIw@z4wl*Rd!8Cr4gTDciRYHj>G<vqNz1
z9yB%XN9!tAG=_ROH*f37rC^@dVh#Z9N<z@#f`HiiB^D&#iQ^<M3B$;nFBlK2p}KS2
zBw{XnOA9erJ=`(**fSt4`d{5eL6GLWtmSa!|ICOUmh1IAZ2zLnHnIEVIyXb#K#^nB
zI>a1<sd+gJdsOH9+Uo%0`f!uRDl{t1{GryG8r7Sk>l2c`0Ov|*AwosGWZ3s~vC&Xp
z7@A9mG!%-+VIlNck3o+tHSwYHZBohbII*veoe0{H87>a&zb3@4C}|v4YN9l;fZBrD
zy`)fR<h7SXH!t5uHVijNpIXL#s%qO0NITAC?I{%(Agvx1$d+(tuuQ4>u{BO#Ad~!l
zHeCoGl>Po{ApBb~{wc}z_KS<$SjEQq1Xrr|Ltb>Iwe>zmj7=fdSNt4OjrywjoPD5V
z-b~2460X?dBW_-83eHjXf_nvJv~_3y(sXJk&tYUfFuJ<Ad*zD@9pTa4)@OAz?lG~e
zQZ)u^T;CjY10OzF|AYM=4MdUOO7w*Q%4}q?>6H8gD?(07(;xm$Cj6`|yM=^&Hrzqm
z`t@imQm0ziHf+kyu*p1u)9Ae(YZpHAN|U^jK3Q$U$BEV>TPhY37M%|{IG4J#t<A$5
z5$x-UW8g%teS61)uwKtZAeO9Q8T(YOiJp%aKYJd}+sQ2|o4DL|k+&R_BTm(}bJ3dc
zC&Tij5FWRd!N`oFtoX|jG%&V0<2lGC14E+5pH}0C=E4%bI~||pLMFDU62d;izk&3%
zj(KI?sj@GjXHuo`27Xjaa9_m2AZIo#X64)D23y~Yl%D+!sqQxyG}X_;iPgrdqwKwi
zb>iNokP)RNQ<a{tm{_zorSX~5)ujO}TT_;8q{C088`@AW3kJ52BhXeS8)-S{(f5@)
zw)K6NQ7Sxe>|d%;;ql;hjx={lnS0lAF6hmTJnY5heHRF}#a;bgbf|OtqQX8yZ$*3d
zu*(U1QCYp=eozB#PzNdJ(c<<kmdyIn6Rh|*IL`7rz)(h@eZoCb2tT2L6oTq62tv#F
z2L$<Fj1+&O7cfqIGUu<*5sXg$4Lbe=7eBcOGm!R|nRLJKBpch4nPM8oVDu|!O!xHW
zH-Mxdu4w>9d`|_x^A5V-P#d`5Z<xnZy*~h>pz-fGT3%lpOjziCeyspVUsn%|cA1~5
za_d`JN`NeQOpVP<O`bsT&r%*!BU1}$GYu_pV|YO}`dXmR78>?X0Pzn}qxI!0B)=HI
z1_rpy>G&8|@xey?f*Z~}`~Lp%amkhD>P-(4YGvJXOsJ8~NG^AwrN;~i_|z?WV43S9
zN(EhJt96H$D=GbVt|^q~7fAGFzDhK_n(;@9Zf-01-o_u}u&^>0Gjbm;AL%*2wZYhi
zc0IfebF({O4IjOv9sW`ZZSjMNa=uaPw4GJg?j_*XRXixnEzHZy3l&upl4*9N0|PEL
zi>B*Y73N~fe~v!7zmBb6PN)ALo&MV}{r|`5%G829Jlq<VAZ>!59P=mRkrvgkG$i;r
zV181PKf0nQLit520o?PZ$F#I;k_57Ix9Zaoy)F<2*@j!3{@#K0Y;$0qYaarXOUAYe
z?{VK^7L{ZUGWRGFo3+c7^7~kE?vBP&Rn(bjc9)kd7X*U`T=+5p)P%0G^pEN28LDZZ
zYAM(^81Q0SK}AeEWUTLz4sgEshYi8UExt8}=oI|?@ozl*ixSZ?{XvuHei0m6`hN}o
zU(bQR5Dm*G?gSo@)>fcDk&VA26!d>4D*u2`09l?$6PQoX0cf5$6FnV(i5|=^=;#5o
z|CCSsHrM}yGtvK<PyB<X(1Ljy4FNs4K~L<Bj)n=q!oWlTq+$8T?2YdK)RJEk#(y}~
zL|5y-IrPsu$3L(FET;hI!4D*QdKLiiiJ>uqnHoLtCsSkihaRQ>jr{+oNB{L~{41~i
zuPoHe0%WFP0p_GsT3{-#p>G1Ru>3F7l>T4OgkMkI|CyRH(SWHb9k}CwKdC8@@##Gy
z0Ua&FKc=SiKPUHp(r@}-v*#}z2%Z%GZaBC<slh)~x*#j7Cu=ROG%Tz@+ElvM`r4rX
zX7I1+`1GIrgPsO5Faj7@z)KzN&yHrGqXmF%1=~*t_{Sane~=sK|NIpA2Tl2H>d-PV
z1L(j*j+P1RaWGt<Wqulp|4jJ!>EXW-1%Q8kp8USt0)Og4f4kWJMdqtg8VDw;L2VwA
zK0~C8(LTncfe8h^3Y|wn3grov{_+8~1nTx4C67?ih_UxTf51VPK)`@Ov8%-8N|xc#
zPBNhLk^1aMhT6mZ{zgbl%5hXlPQTKR{#{~;_7Mg@Q>*=<$3~SU^=1wNZ(_h<OK}A`
z_G@Y<pp+0O=F+sE)3sgP)};wBLT$A{l2v{6a8d6B!56cRp<Z)W%-sxah98u2et)js
zf4ii9aF|rij~D?|&KGil_Ye}}-6wjmmlI4k+dkT;03vS?=Y)T%mo5*)1T0&984w|*
z4qLYGz|<ssoBJ#+D}L8>Bfc9m@-SP4r|aEnL&jyHQB;XFI#>Ge@;om`dJ~{nRgErT
zkc3gpQ45o-v6@83&~*f#Qvrx>r=dSsdUxG_LLsJ+rPzAhWs0~^@A63HdbxXP<$8MG
z($A^p@);x(knfFLXwhcP#}_a{5!+n*QZeL{Q|S58z0xzG)Cp*C3e80HYpgXLw;lt<
zH}Osr;0$)7>ayl_%&R@4uPMYcbm*HNMQGW(WsLyEeL@Tdn3}M{s#lY%Nt3v|GO6|J
zT(Um9I(Kr0$ozJ3Up;0Z!!<pN1`!N8xP-}1EZ$QMfN0TQs=wt=f19^xGV1?~j^B&{
z_p5`dyO?6@I?ac$`Y&7@fSFBGV*Y~-{BP6Q<`M@@n}_h9+ZQ5_2UKu44WleWFE-c<
zEewt7=!UWaky$vlIc`L+=}IW*0L0k=Y{8qr;;jt-1zF17I`kw}8`<QKL3NBNrgKaB
zMiY70Ma8F+8<5Y{`P}p}n%WH(*w0nmP=$oZS4sW1aJJY;+BP`78M5jm)Ih<{QThS;
zA!%aUhwzq1RqKqGkW~Ff8f(J_KZ-Bg{9!+7;dgH_YK|qC!+g|BgSWvm;JwJt^mRqw
z-F8xK+f8Td;e+%&?W~ggvg)%l8ay9BDk~DJWBl%T*SQyo-Lpws4Jsj+JzBIc%uIFR
z1M!w0*^7bi_%4Q4p`b)u4JJ7(A%+ooQ%-d0uSF!w$aUvmrUL0V9wdrsd9#oEJg!G|
z79EzF0??PXY{=*U1rM_LA0U%&SugE^je@HejmExdg!st9247eopgQ1s@`T8f*GKQl
zm^z`G2VK^bI&-kbj#Tzt(OhxO9{3Xm@}2uR!V_SR?ICUC#jZvw$WLLdnN9h5y;HIM
zp|M5>z7p}s>JIoqJ&CMv31qlT)fZZ#7gOyjpSZ)Si9fORY){&hV)2B;Com<|7!Gi&
zZtdG`yUCvipPpjh*kI1=ZG&bB0_ITBDSGLWJM!=`&!$4by@$)pq$MxPRtR$p6_#k?
zv4^2VW7d=vSPz<cN%3iLhux1mIo|`5^eqeLCuq)UG^<J^B)Ip%SQrRDvT<L3Nqpwa
zoG$Dsjl~vz^gP!5Z7Yo(mH_>$UXqWd6&tWy*pi{$`dO`5d=G)pbJ%-<ybPqo_OUxa
z%J|Y3uu$Wa*8M~=!f_K!QwO4}0B9@ZSW%sQ8R-}FSzcH{HPQ<|u=lW3sLEtcwL5dO
zkKEb5%2QB83J<Q?9^ox$%VQKyV+{9|%{$JH&OS%&?Fyv7%}>lKXxt`MEPxT?-WlzI
zpX>qn^v(lBvIQ*`!s_ufH+)nw1;2CoQp=q{qE^0>fM`SrlG3*O0sz*%5x<F!`7}WQ
zfkgD-8HV?2M!M{lWI7$6X%~CQXD(mC>i(7@t*P`1|BiHaC3SZr!df}n6af3BfuA(4
zSsK0d_PrC;$AXP{Nrc#uP@%dy|25f6E81CDbUCtGLpww9kqr~c21LDl_r7-*Osl;Y
zy==aRMYEN68yWN2RcP_7?`ONVl`fq`U;7W1$rfaNrhbQ`fpk8bnIxpQmJBb(eK?wW
z8cK9sC@3g+2O)iCb6H+%PL7r_UfM$UBOP6_Y|ETw_4x>bFmUFJTI?Vzo$;u)ZzT%$
zm_*2)<W};)IqFrDXp+ZP<oxmqj^8=8;n(VQ=Ogkt&l2i^!lHyKuqIU;WVR%L56{R<
z&u<u7l|6;$=6zNFW#=L9_$$|b;W&&9sp!#By&X?RUYJmZ@9lk+h*!TVBlKsx(HwoL
z3Fjiw;16_N*_;-UWUXCMiQ?uD&k@^)F(eh|MKSn{I(_-zXIsf$dtO|)80nlbtSu+@
zuqu8CRa}XTWo&%y1{qL0fK9jlY)qoH>_v9H?2x(Q&?xgFA)W^uqjmJc!FyMRBFWf{
zXO~~~JdzODvl$E#`os&GJu(P@3P-W!L<7JTHAQ`xD(5Pc+*aG}eykZSNPi2;DI8Y$
zgaE0@96KJUG77QezR`tZ+RDJ$!MQv}>6RoObZ<siAH>9Bn;d?1-PY6-x0?<fj*iGB
zylfH>ZzPAe9;X~U2f#N$XkOES?lxbp{X6}qhTe1KMT)_&?fzvZ{&oeq2Vax<S?q&1
zngxbhkS3uV0}eU&M{P-g5|ffnJ}hu4c|{{e!SV2bFM|GjLzY$6p@g+Bc|vvaM=NQs
z*GW8zNk^qOmpj0FtXQSh1jJFS%p+!H&8Kw-XU)&VHf&QulPD&f5%3Z}iGTRWvxN+2
z%?w+#smLMD&SgP8zr9&NnKf&v(xh{Q%#>0Y^|iN4<l>#BDUxHdTYqrh3wv}4qM+oG
zjyJ2>OZ`JiJN!HAuoHI9Ul}vw69N1+P%Lr*4c9x4N+>CL?T(g8ndE~n&*`NHtY>s|
zCr;GjB_t7djRN_{+Hh{)aLSD!no4TCpSGm&v7#i7uJIvSAM3hth}UtceU5CLTiwbj
zGKEut`!;^Xl8JFa<HVk#=y}paFOK6)Ak_AXe_LYgpt|$@9FxN0L(Gdq2|y2LdK2na
zh;{-ggCM^~ke-Y)A?_WylVv7+#CSDU+m`vY$ajNNO;aji=ABn;v_4v_k!vTm9FZAy
zp(q=U*usZ5$t5}V_%k>RjrhunWY(UId|3`j((Q8&>L0T$e3eJSF7H1-Aa&g|Q7*`I
z0zV5$PsNGx)E^U$z1-AUJ}yhKiq4M21s~5a3VqotJ*kmRUn;DylFi69&>T`;`0(7L
z$3RvZl)f*bGZ3MhDuKXKmQjy-={}?FMAw&cnURB;8OE=y%G}HA_akz8$dFWI*FwZ&
z&8FMFhKlLMTZLqOW=q7Kv+K<3$;>Iy1{)rm>Vh;6|GC<nKKY>-=g^CUbWG1<au^RN
z-HJd4Nlqv_Y}{cilFn_UrG;<MhF+In(b75&cfN(H<I<Pb)jxD*y6Vbupm{zt;(tN%
znmXnRTP&{;JL`@18LM5$j>ym<k5P^|Utx=ARP3-WvEocMJAroz&sAfQ$e7RNQ69<O
zuQ7z(zF?L!C=p|&{sNEcBQyZP;=&3<Oxr(=9+`~~CM0XLWG}84e-$zqdbaN_<Q1hd
zWMJ)LQO_^Cb%l!9t``}%GaqsM_M}p}!B+)#?S&})geG#q$u(>jax8&R$m#nx4TB#Y
zo)5#5WhVBCgit%p*5J{tSfS5v<%J%6yL^PesEHc+Pby9SD`uvQ@RRLIA^c>T;FsTm
zlRt?I_}y>%#7`*wCmD_IUwrOK-S}S`aQ$6I`)TT5Wwf7w{4WvMpK$zV1eWn%Is)*|
zl=l~I|LLFqj@t(m`~8WTkQSCoa^LEO+*NDn)eiC5xOr1@%e{-B9CeF(ROgK*p4-Sb
zF}Z<=%g!ZNSB?(OBr5oE%SHXw6=mafg`$fqhZE;rpgdlV29$LzieeErHdJF&*;`k9
zF>xPiri8KZm>g5peD6wLj0&h{`!PA28&f4$R#Cg=z2;;@y3f{*UF=ox3jsW4?Yk<6
ztP^CfH?W)-r+Sv6b5dSR<p?V3MiLD~XG^J!@@J)%`(Z!wNy3|1!r67zCzLt09f-Yd
zS9Pq*<>oe@Y-keg>VzDErtW-hlKY8E7-bC;pWaT<#g@(6e=hJ+;y@OB_%5v?ajU2_
z+{asGCM>4-&nEN}U4YoFJ4kYzLyPkZ55KGB5lKdJb?xkpp11u>=qqhhjNg_|rLr$B
zTXr4y4uP(AkA~M9M=0bO;QNA9+Yk_EqpWGWt!RjRB#zY}j^!GCE~TM!JA)5kT8tE?
zs<C2E`&y?aPHH1HCw#Ky;PZ)0)bBjVxg|Hchq`R9aHp-Gap#|IvC2gWM>^NBeA?W?
zMuH=ctRm5$sn&+?viM?NQy;{^0jSSTEMVbFSlY3KCoPqJ>E-?@^Js1<zj3D*vRw03
zW|btzbUd<SxPO5_5)sAV5WyOooQ21@Z6YV#;rH&o##YO|Q&A*Svp3l3YcwAxCs;+a
z@|vZ;3jXjqP=z%48rO}~Kk9tn7Y|{j<Qn-s#f%39x2Q1Xi>|C*zw&~6H#hOC6QH)m
zxmVR^BtqX)L7&sFq0@b=!HWb*;%{j5-{Q89(gvtvfA~1dprHp7m>SXajnK&sADkKF
zy`>0sVeC?FPT;Xu84O{G)W*-6ZZB{=Ny%6s5k4gYsb_Qu6zO^q!&+bg$KtrABq8h`
z66zrL`EDZ(!$T8B)e=A5&Q#VvEj2>tSScEoe-wqx8TVW3l-;oVthH<M;GI#m!Se!5
z@_CGQeq`mi7#S9MM8qI{^BoEUR7k(ga<cb_$mIM5kV&l7!FD13L1IJ06z5eXIkpWY
zi^6+JsG>f!2S)fP0-63GUdHt-+gDt#_Bg^7KlHIvaue!`p{OZ}fG@JsnTl*E@NmmC
zx+Z>KLy<>}dWvK|g5dzoY&-Z)I?jUt$&$ZV<Fsq9`!;U~qi(-u_?)1}^IcxTo+z_Y
z<-kU74-^PKD9pZm09g*?JN`!B=ps|&(2I+K<bgI>C%^IY1$lZc68aWg^YbD$iP{R~
z=h63QKB0B!0jT3M5LEm=t2~xj-~8W{X#?&DR*SR(Wp#opKJLaEx$y=?);i&#W0B8f
z3;8!d!(I9tV$oQPWO260)D?=7e_$)d$yb?Wi9+Bo2dKsl<KmYCa%CJa%<M}j+-Vt3
zUZQExFdv!5tX#9Q(^D{r(`Js&hmIs8>wJPk52jX<-;%RBjxqq@(P|YRf3_I%7}RjC
zx}#ykbO7w^GAcPqZD<!Y*-*$Kc=W2!Dn)@WuE&+M%b(QP`NHwam}{p=@9pkv2ya3?
z9ZO>GY&+?kM~UcHJ_ytrtTCunrCJUiBF>Iv8WRc<!wr>fk2Y7VS>0qz?}k+N$QbY8
zGK-4njBRt~?B;d1c_=})FRPx(iA3@O2m38<T@Z}gu_q3`T>Ut3n<to<5Dj{IYL{_i
z3Jv`+-l2P+-HYn--hOOk^0_F>5rDEm=x<`CI0<@&b4x#s?`k&7tr_YE1zEI!qtDU>
z{d(gzHVl$5vG={!`-8!T&Q&7`36ATlR8Hu7qQ?tYUQV8p1`462_Vv<U%PrLJVNst+
zDg`qWgV&APNzk@cU`QX=Zt8aSUdD9zYrS$9n>iy}Y&>zk(D~vn#C~tf-uojqEVY=L
z*Ifd!B|>FjXmnIy?!#v$ax!IwQiu9-4iCJhsjEobRY@69QN0vQ(vU%<06UpRmgJZo
z`T)DL?<5U3(w4A?%HPS}7<D!9<&-i&6(msmJS*tPv5WZ_V{0$3gg)7UlN`~IcjhO%
zWwc52DMihCNY^b7@AbMCapNo*5goaP%!>V#(Z`KCTIeiz%nV!1#f2D$0)l8kyKjqV
zz{}4IOL$jPtY&_k=G<DoO$WFR6##XL^(%8PmmiTPu`N=2HUKU0_9i~VZX20M>WrdO
zc4V@i@-0O==eY~xfT$^av@h+_j4{ibLzJUqCLD)trFCbeCv%|lw{IRH>7|tG{&Q&u
z%ZI<xZ2lK7&VOV>{aj@Kx)%RJ7qpDPKXiVu2>Q#aKSEZ(pUU5VUyCOcg-zEPk(xK<
zuTTo*(icCWeqoD%m{oRr#*WU8;rynaYWC5UR4^=j&zxk&2(c0#$x+*H^^}P0@p}1n
zz~kGkXbMVB7l*6U73IcRW)u(O4y|t=BlNzn26aE&Y-l*UT-lvhQCizS*h^SfQ_ig8
z6jlKMLn+aRE$ulUn($-dF>zRw5m66gdNw?4f!gwogZl?U39Df*mg(8pA4=I=Pmj(T
zwHUv`f1epu>=UljAd5q&TUD2frZh1@Q>)vDQ3E*EM$~MJI(ivNaanM9XNb!3N`aT-
zala-)s7xxRAa!k|qmz@5->~QoC>GHca4Vc$zZ&>=i3$tB-ufukDzY)+0?~Y)vvhXF
zBhilQ?4yJpze`VZVhq!Z-Y7|lP6^|!)HoJ|<)i{y-#rxF53Vr{rMNuSJ6#@qq+8P|
za$m}w0FcUCzehp>>6pJO#|NJbH`#GJi{1&qs&A!6WUM8IFkFDMODXado{`s*s&;yX
z+hcQ0d5N~z8_l<PU4(XG7bUzI?mPU0Yj`>>PAE#}X590A%bgwa>w)cyor>P~v+(}X
z{3|!L+Wl=<+6{&QtQPbSNwY~+g$FU(ckfSqjWgFNq?P6nY#mfo<YsvzK653@r>*gg
z%XSZP57k_XO{^w-B~9cp<rD5U9>+NQU~?|@f)CUk09RYx(EaZ5HOaK|-52-6PTzf`
zc>_!XniqK=ksdl0n8-bC81jP<WpN5tMs1+Ws5-{<a}y*rGm`NjQ;XWL-`Y~D;3}%Q
z#8aAKD9;34Th*@yW8fVZuWW!KB>LWmu*@72_A#T-<?H0+d&A?*jO4%-x78&M4@e4i
zzFb5!pXqQv`r2sLX=6vCn|J#OZgD))An2t7L9STKw6Kkp9BL6lk#xWe=A~b?E?ha4
zdh@$yIoZQ{VWywz*TP735WMNU5c5804C@U<TrkYOSi@MAD<yK$8~XTxw}qw``a2sj
z-bp*TL{#ENa(sS~9juSY9$dxTJ6#bgU_)mIUMy!9nmGvH5eH^$ya5H^y|%j^qRq=`
z=qt~ETarQK!)$Iofq`>Gt?_P_12baGt(mjG>abScJob#TOO$zDL?a2KR7}V|e%$rP
ztT<y`5mDKX%1K_tDkVx0lD=THE_Sx;szL3L>sG1m*OybiiLVm!Z>L2ZZI`k$Yp`4j
z5R)_31Sfands{_?>6_JpX+qbndbKIBN=IKD6cGsQwkE_9W%nmOQlYOeBfVnVq|Mgf
z6b^fJq8(JB&=-&-Zk%Z6dE;O5MNyqwLl--1WO5XbuFGR)rvik*eDJ;;H$;kN+A)gF
z<I~#??gfX)oL4ckMEMld9@RHuu(j6dyFE@qop+7Zh3!tBB%8ur@>6jk=HshAv%;&Q
zme!6k1)&#Z?$r?N)1qNFapvcPSkm93B0K6QAwjy2Lo0gSSk+bIB27CHRq-kf;`#$6
zS@B2JYf2GbZ{IAgj=3dEGkmgfpWUzIYe|9?uDVQ*X@0leW%0IAh~}${44p?zM`d{G
zS@$l+^Mb)?cMKSk<VOnkg`#t@px2xwP;EO!<Px0Su(OEE7p)sryOXl+1=;AC@}Dh+
zujM{@CPoc`{P!2u0?tZpQC<!Y);$p2dAWN*(4m&jCBz>r>cQ5Df1On>8Mf1{(3?^w
zhNC_y+)Yg)DkYn&#;-J&56$w3rC{2uaU$6hvIX?jTS6kq+Jz0q*rVM5y9uleOo|#W
z&aG%ltFPInB-7EJCaNgLyd(EZMU1V3?I5)0!26LEKG*0@gAMk#c6zT)_MJ^F?`cD3
zB}~t}h?_h_F}8IgQO}usWsUs%A>!QenB_93u{?3BT>WNGB<6JPfE&mZXYG^c<DLt9
z{?lSR7}O&iMdv%OcSC2$(hKQao3b)idPx+Bd6Nod9de+WCbXYPn+wvKiUF3J-+V3(
zS<$!nG!;_JGdefFdT-O?y@>AQM>-wC-k6xYrB;}eXYggA5DmEXknfncwhW|GD?v#N
zEJ90qe>+jOG|#nnzuSWDG6K6MJ$)u}SPh+2uCTLsm+<l?X=g8c0_nZ3Xo8s}V^eCK
z_jkZNP{pCnraFOgWhWJW$`3Zn5{IUJD1Ka{L6@_2_x5crwF4SyhHi_#^NjUS2Zka?
zS_xn-AeHh^)es{Q9gy_d%`=0B8K@5_O`8z4)syGmo^NQCSGC+hMnzB(guksSZp~_B
zFd|TdbbJN0JGl|$?T|Nue25xzTCGqp5_omur+NShU7)rq)greAi}Ib`SjS|kz7_jM
zY;=9#ERYI01rsM>dk%b#>#n#<-Cf&TF*A*J&P3Dv98OIl2}Dm3-f0@iy?zyfQ85*x
zW(tjw26hzl#mozh^xY+C!{zpL=qRg~V&CB-0!AJ8(d)kWjonTJyYI59#G>+)BRBN!
zaeTz_<ZV<#AbcPtI>klS#yCHlII??yW9W5qd>*Mp>`&Hv>n!B34@a8DM~jhK-N(F@
z)voMR-jTr=GP^9Yy}~X!bO5K%@lZc&UR;y0cP^23u$ZGiaGaOsszPAy7)vr3+1(bC
zl=qHE{Q>tj?!NDDK+C_Pvj10rmM1jwSJ3h+x=PDJ&+=s7lb8Vfa|rU!Io$sqa{Z5t
zXKPE4#XkzTGW<EV_z$9-Kt=`tkdX<TqyPjkKfTg`6TDgI2pE7202Xi(!#_#z{%O|V
z#5o!Mg*^XJ@b|ZfD+3)3IC}yd><33&pCYde^t1q4#{Z8k`5Wbi;U6kDMG6BZL`+D{
zw`4z{<+23sArYZ$jNUp>ges3nj|}LeBwTVvM&@D<1nx15qQPkyzJG9f&nfv}U5a+}
z$YkFcIJU%z((;0)32(5(XUQaTO<Tj^zKqgxIgsa>a4?Ao$<=q)Uhxvn9L^Rf3Fect
z&XhgB&&5z49MrACc9}PLTUS$OH;x|`KSPne(!%kB9rEzv(uSaXE(mJ`4Wi?1WD3Pa
zAjGhcr7$HgRqQL-uR~~R#((&tkiX}S&dp~KM`-B&9fDK)z}cHd)ZQ!A3&@97frebc
z-W5z2jFthQr#6CaFr@C;##M}Srw@s_LDvGom%TynD6tI$-xF9?7-BFRhc41hiq)lC
zwx~x4C%$bl;@P?Sts!jmM|vyKOndCtPX6KYg*(1YA;6Apj-?T^poj+>lb>6xD5P9G
zH`aEG_2BtIROw0|3oM(l{Gz$0Hk3@EnJ9_>eVGn>ZqaIlQw&^(;Qiz!@s5~t2hQ^_
z1+%oBm`3Vy69(iy$594B>r9g+#mjn-aoE`01o)or%&QNg&x1UsKlbqK=3b$VtBnZv
z^iHzb)Q|1%jD2%Aj{FJ*Dt#8G`^Fh_EtQc$U(k3f3r6*WWzHggfdFHP&U03vPjWEf
z$U6b~s1!~^zh$p9bo(tfr<cYBsO>S(YaIUU+{FIz5SH0lVJHkQ66e0(z79M!y!gDj
z8s>1U@si-^mL{AjxG$Qfhc-_(@5JaGR?E76o~}B31R7LHmAAH1GiI}k;+4IEUvxQ{
zyNVDI(T`5!qfAh-k0tJENW>BIwZk*D3q8A`*s^zIn+<!zNVSuak=EAqo0|ERZ1M}B
zHGv_d%`o~9En^}yYspvp-wwLR2}_WatiIQ8b9oNCrFC}_K@Ul2i0c*yxbH=2C31Bv
z+EZonOA|ZjQgsBw;iF0m+-e(?N$^uQ*K|(Pn8bC6MUC;^895DOzs<0Ermr0_0Zt{4
zDo`Vvl44i0PGn8st?8s<^N-sAOAMX*z8>7lP6j!>)@0BevTfSBRHpVHX`=lCDWMY+
z`8ZhVBYJN+$3hN5L7S%sfzTdYg{>^gnG1>A`yG|zRY70H5mknB9f5BtXfa~K2YYV|
z>Ju<dCQE@$E+b5qV#Rcn)_F%MJd@X!BUPh!shL`co6Q(el@{GX9eA&bc8VqTGI&Fq
zT=dJ7Z(R#`D}^5<B#A_=($1QVXUdFJ{PWN;<<M`mlCh}5UntBrO%_+;9Lz;GSEYlR
z2xK`<9gP~zYOrL*rdIa=)Y?tGi?k`%%)Flgn0gu$iXFb7ZyydsxTa}Ph}msl<-Ogn
zMREjGs0=mB5U4-I?=^FI0K84?<<A)KxQz90OpDs$P91pQZMR!rVN=J6d!f|IhHx{A
zo4ZG?y@!DS4r~h~;Tja9E7B^PVsA9qEW_=(8<7ERr^I~Jn&rwF287}lWwKpU=Q=_Q
zU!KQjU2dM#9WFHUns}fefg_?j1ceD1BS%BFrjHbE99+pM<@^1-A6sd^mTky|SjH`W
zScAwa_w|HXpNiW0@fOBr-<f_zEg|L0LGTZvt3r|4QH##ueTN8*=Gekw0`VGflnKtO
z_<lI8WNI}-%MU}Ux{4l4|1meOvO`&F;v1_1vyzT2APz3s^!1@ByW!_GZf!-aA>4c6
z>WqgAPvsq55lb3c)9)_cy9wI~xFR2gZw=Wm?hlg;*{hSU)(o2r06=T+iER)2H23%r
z<nJ$7kisBDDZkgJJudjY<LtjftZ*VY`_HwU;a{<ZpR1D;!q0`_Pw@lr=9^z+{(tdm
z|9kx4r#XL(A29ruTL#Wt{k78nTwI=(d|G<CKbC)nztJqf*?3^&@ZU9yDy5#_jp|nm
zm-1V%-a0S7j(jyyYFvQAIch)ZJDNrug4%mjZ`35s=Z!YmD$^y%jq=A3<6CT594B0P
zjB!E`q;7F>yxrYzF&n?#sE$6ru<0jVIc0~>aXLI)S`vF}$~iCMFRaATY$6jCDE#uB
zB3YJ2e^1TE=G&DL3j9N11mR}OXsM6P>WeYd{2R(A&wJ{UWeZENQZrUeot+;+*H=Sx
z=UQJT4KxsSg>}g&%{6-iGI`uxAr!+)YtPI)>*E>sL-&OEZ*nHfxvt>W11sj!Nj2q$
zpkEC8H9|lsD*Mm3R663k7%MhzfDKG|uA4FxHPhTYDaZ>Sz<(Hb9!1nHdF(%9#ZY$6
zs!$_<T3L~&bQ|#E$OnoijzA?FJEp}|xfv4v!@efl;$8K+e9bQBuJv?r|Lyus$VN`h
zBLuy_fowvO(gvgjag^6c0v(TsM75gSDwQ(IU`~E&y22bZ$7`cCM#R`rvDRB7maEDy
z6ZU;_)n(9H`nS!@F>OU|^vL2!Z{(&dy;Bue5~<$cz8BxeIY=<fmU!&e9kYGj?Zt1<
zqXa#qaKEBM9IFsS9;J45R}_p8NA18XrSm-IRo`}D{5KbsVSB^7<hdCpnG_25fHoE7
zWk$-E5j2V{tS~kZG9oqsce%A9^O17Ca~EvYm(&>W8#hudyCM=eoBoM+qBccuoKG^2
z6|eajA&}Gd=Nu{0G-_-^)tY6KeYy+m)n(xQ;{5AJC?tk8rQl<}&G--X*KBgReUYIF
zH}_DLQ2mBOndhtsj_$_c#mVK-sTSH1L#{Q5vJi9NVRr+y7kxEE7!(+}C6h~bUuSso
z&sFQ@9$9Ajd1tZNdH|{W4ixM-s%+(6sUIHY9mOqOk+LN*Dam>(ZolLj-x5R);4=<e
z-kgmVOt^ZLl&w+M;<z|2J?IOWpDdkmh;1GwHtkBEuID&f*W8<Il^a$sIY+KHPY6wZ
z$3NQe;fy{erus#9T$I_&`?kYA92<H7POjb&D{h-0>gRO|_Z9lG^TKDmoO~4N0HiJd
z^Cb6WYb}*z7}nfMKl>S;PpGe^Y7a_oYuIJJtIal%((#`-X4sUxqv2BISj*c1;<kPC
zodt9)&kv%Je8{KV>erpd%OJ#o@mlKAMMBea`3|)efYqRk&FF>beuVFW<RyMRI*{EK
zILrcXp-ZxZ88J0fw>(Qqboe2?ml>B(=o?hvI{^W5B&Lo)O-n2e8Ot}GPD-k8R&V;?
z0(y2*vAXxZzQf29W&xov+)(s+f;uGgXts6bTrEOT@eAIr{Q#7`V0cFRlAkBvjQ3?1
z-4D<H&R9t`g;qYg#Syt&4^$}YG073j;AjhVAA%1Xw7Rt#8`>H(cQjbhJ}S7oGPunu
zMA%F(C0KoZyWUZB$s`7$C%)>9i!?F|v43XZoxP~a9gm<zC1p>W%d=P+ajUe!-A*Wf
z8EQ5YbY}$2`Br^WW-nsJ{TYSV9YoArysztvO<ef~yeM6p2GUG7l=G6#moalq5yZzI
zDNVUC3UHMmI;YNAbHg7zN9><%1t|0OoF%J5QPfn8CCyQQ3ZLODD-Y|J%k&8O(g&Of
zMOG!P*pIRBZdj}+ttbz|p{uV@(oWY?8Igy_AVnk940Pfc1GDX*jIs3yy53Kuh4JTF
zj;!7;vwIA(njN@BS!<=mKuo_VW*83V@Rbu2PYZ;zHCakoS26r?S(d^~gNd2z{LJ)Q
zgzxZYL{L3AV}zInJ}JRPUsJ1J<&4j0wXY&AF9Z8WRQ6Ha>_FFs;+-KTAGSu<OZy-s
zEZ6$+E?~}jvtr?jR;$zST>Bf$p6sLnoT^Zhm#ci)k8RUAnXlWlP11GkZ&i*e)ULjl
z28HGLKQmrV5+ay!5~{)Qdu{V@W&n6YK1(LCqEtzj-6fZRcLssh>&fn-f(_@k5`k&n
zDXJx_rOjdbUZ3{CKUS;cal6?k7Q~s6PDSawORPoH@!B$~f#cYGWHmK6FjdMJxkP<g
zAVo<7lk7{Az~ljqA>nw;yCEa60|-GEs(Y1zjZk)V3R#}G_c-pVq3n0FI@&(zoL|0~
zm}n7KPM8dZir8Y6+rO6L5Ap*Uk7h9p*DPIs?Uk6^QWR#=JZw|!=`JQPexo{kSt}TA
z%Hm71AkXgkJ#ktR*%)?890mbrT+A~kVcjPjYgC@FV|}Co{={bNE20e{(B@K<idoV@
z&iS(2_EKj28r~CsQL8VItZ*LpZBY5hvMsP|*?l2kqu&Ur#0&49tBG1N1Y<fk-_^pm
zW)7;2ia*_575U+$Rs5pz{$>#xkN*5YGY~On|KY<&2wZmwt->?jw%BL#byewWSROOA
zGYoXu(Mb+P@H$M*$~6+@xTZDdd2U<028o$vX@1mOy|`;wxl5bw!(4>Lp$+QHI5E5;
zsLWHrve!8XpG(!Gq^0a%-+abcT&ekfSAtGhGl|ZbND57s>GseW|IOk-2qHZTmGKd>
zjeJ<olM&aKEGoI+Q)OT~CV$haVw|mI6sZ)xvs>HZ^7L+l4LN+JFH!KluC0jZo9$do
zV(a!|4$>d-tM2`{eJaIwF_5$$xpI!R-(=AVP+q;Gg<*f)mF<|_RFv~k(!;?v3!!2W
zeGKP$pQ$ZBe%$<0lJkpxu>!J>Cs=VXS=2touZ>{}C2Jmvsc2i|3lTb)jJqc{KF!*M
zZnI&PVzQ5^08xgF{THF-LRgI`@WthwXY(B<ahhr~jD<%?Okyx+EA&q<F2VVJ2eYM)
z*H%zkQPf`1Jkv-G#VKxMV;r0#SRN*$gaV~*<;hdH5wwhG2Hz0KP9a6fFBu+c*K=Vs
zl=mEI-QhD#4uTv72yykK_3S6t^lTZe<U~gH-CwgFT9P*)cbR@44Pi{BZDSi_54}{^
zXFIeJ$hj~&r2gDAlAEY}-=rw+Aud{%vSmYJ-Sf=4S8bsrm^iNOP%=T4xxTM?W<bAa
z=w**f`0-{&DEm%1RB2E{-AJdx6mDk4E43}SWxERe9X3>$mun@k4&Zn%$Xsf{Rq&JR
zoJYE90w16u#p&T~EMv>&-(brByY!)-$nP)u&`;d=Gr@$OhW-!K__zAd(?*q_0ulI^
zA;{wAmU!^l5a9g=)K9X|Z)y180xJEdjaW}r!L@YsjX>&}AWJJMGYbtZEAZwj%fH*&
z!ubDEE~00m12EIjgGCue01Y!(E}{i*OaLeBGXR+Y;2k&rNG<|be-g|7V<!gVpXH+8
z(`y)iBI|zukCpp__iB;B@c0UrKjRV#4reRB7&2V->msxwbey8<bNa^?II@UWRQ<*I
zg9AuN^0)7rdwKdULzpV`t{ySjvNU5{@9l2aM5$X^RGSxFni|4iXT+2&-Dm+YFht3S
zu^OfeHNP$q`)us?oP@OK6-7+`;4w5@cJf(+X`wdbWiH;GL1%VtuXqtG;);2LyVO*4
zsI+isyyW<}d2(JeC^Ia^r_$=c2_kPr^<yE>!^3k>-MToxunl!oEy-`+k;S+Vrzc-!
zK>pBpp*tq2*2mAsze$`Y!&bgz_ld8t=N8hSiz4^M@^`0Z>K0~?7@(ez`V>8#e+aWe
z58+r1lunauvjxdOv@Io{tPyuprfGiH_7yr+ip=-YL_`<<NIu^4R9dbNIC#)ipw4sg
zdKk4YZ|?WEacB-&7fDv_&0q`z`fz-IV0}0XLTwj3&Y#)iXD(SOpApExRKdHa=nB%;
zx?CbByyw4&J15ssu~zF!wLMZf{8)dmt@ip7t*OU~Fz<lT4|dIiPEYWQOM9_eM?twm
zmgV~ab@`JCYN#@^w+u#!7BJzT&dkeQK!-wyI_23!a`YpF0rD7S8w)%Bb|wA>WbCz<
zU4^I}LP#F&L`9*n8@sZvG6T~pEf@qcFn49)Jc1QAwB2z+ljZ8h@<-W>nz@IZLK~;r
zJg?_0_`|8j`UIIFd*|i##1}5aja7Yev!FOQ{f6d;2H~-(-9L_UtkVb66ggG)`tTKK
zdr%uLdPYLys3)qr%QI5CJ~&>BKG#$*ow_p&YM)jWjXGkA)n`zA0h6rga=(jG<MfaN
zQz7^Al(zjepZN}D`zD=A3fjV2HPl9IDvMtsvxZIXlO2%sTi+alrE)($er`VwXJ$%#
zV@H03z9@A53u|4g_~L<wo(u9wi-X;zBA`X@z%GT|_-0<`Bx2-=s?wBI`=o*na+JYZ
z?j86%uiDHhYqA%G$(aO*uZ6Z0^v>fX-iKBc@Dz1+^KpOuRyf`srbAwuYT>usDwKD~
zU5;0Fo^1PEVKtushESGOse$A0(mo?MvgVCq%M|=Lst1V3sQ-OqAankwjTB0m2tsI8
z(0Q@)3@`@YDT-lgY<9fOU%GD8AH-jf7Zy%a?ANlJ*05552DeE!Rcyf4Fcei|;QtYi
zdt&0f_9YG_@?{cPUwyiY^;})Lnyj~|n45HT;%FM<bX68woMTLI$G~EPjFfbNjm-;>
zZSXcJM@&{!o80<lYav|rIhPQqW@3mm)5_0HgV2VUmG^im(z8u7JM~$L9V-C4hzAYN
zY?JmFlO+DC+omzo-PdhnMIQ>o)GysyrO+f$B@W(HVt>P*l+!Vmc0M52s|qlGIn^W(
z{8FAe!djiXDHtN2!jQ9EvixKk<CALqG0}=$mgJ4n$FRU4ayhM;Yt4jMItgE&GpOXl
z(c|0G(w(l{*Y}37yd=pqh)(2Na0HK;P&)c)0gIX}+(Lmq@5_OgsJmFzb6?3Q2EV^|
zAA`lJnX~dHwapTgM~()<aes4xy1gSHh?%o$<sZf45PN29DeXN<`hsf@CvF=Tn0P=F
zNsxN1`r?HTf*WX;;L31n=A(Zq*UK_)!kVcF(9~n5<CyIw$yd*K{vHhS67YF)Cd8*)
zng&v9MHLKJ<En5xNjW+ohcZYq?_;Z`l=@ID-S&qG^lu!3X_dQv_zq6=c$UD_8zEy}
zy+Lqn#|_pp&cNb;ZH*kBTUqN6ebp)|BX_o8Z?Q3rG^M!%y|N`2DdNs5OozDTMArWH
zW&KA)=$Yk;e*YuAD35xBnQw;{Gkk?Z9S|3pAxT{&^-(rdx77I5W*3xmtsJ}I3F=d%
z&kX9vVa_Z~1ChM>=lFNyX^WNZ^8weUf~uw<)A`PK_47w_e!jjAZ?WlHV7$oDP_^B5
zvQ;?OxaD}_gcQm@5mm@4VN#FkRlLZ#Hvby&vE|d}I!)156AV(X#4_Q1Bwju9<Bjx%
zNH;vAu>BiUBh-U28MCDKp-JYk`fX`b&$zf@Fud3{k17HTDy$)H%`5tl(qFMsL&;Qp
zH6ryn``TpN(@Ov1(LlM#nkOxKPR5P5XS@9Vr6?YIKbEU^ZIMrCsY}{B^?;QenE416
zX~`&A)0E`4^llWIB2frf!sU02rxt^a)H5eYy+|8TYyJa+#U1vg^?f<M3(V_6EBI8!
z&<?ZXi<vbn=R9IHN=0jW@A8Yd`~9hC-fXu0_{PIu^ajDlB$#MvWsjG>EZQ7kc(PF3
zP@@T0?hO4>iDj@k;b5HD<6#_zPJ-~V3mjAD3XyNZcH}Iee4URV>BDju3Qo4np<@yM
z&|hAZW*2e!gGaWBER@O(Wvw&jP2O=8z1!Gp3tetoQ<CNGx^AuXQ<^R|_Y&j)fm(op
zOu@?c#WL!YtI0Z|yGN}vXE!!>>Vv`AB=JKBzYoT?tdT7U&?wE;^&E~5@0*p-`Ht~B
z-a(qbIxrd?Y;!>VRvIz?9M6P2mI+=gzV4D7MuPRmXh25ERGFPclHk0*THm{9uzjR<
zFr6j-q@^0yycBaZT_7Ne`o3<)MQ}H&yjAOwXO+2kZcrDawWnf8QY_6iTU_*>-^j1g
z+f&87N5FT-JwvSSAa0W*g$H7m4Ov{%WB>a88Wr6G!Fa*y+-7hA3OM!=7!f(qybgyG
zTg>}fuVR=b^Mr)FR-W#xY*QH#kDxf;9<HR(mRw_vGyrLncjkHW_`|~dXU5=?LEY|B
z`*h~-I4HCVDC7pMhg-qY`u5_VUXbV()r-DVB1^shZj}|Y>vM32FG|w}E9*?R%|<+1
zEy1jZh<eS8EnEKvomraf$EQfu=m<C~&W<Ap87<f*j`Bt3RwowhW*!kLwl4PWWX(H?
z5<lc!Z@!RMS84KYip#A*Rdg{A`X!Lk3YlT$amAjE%WBW0cq(dl>ys{DjlPeZDQB^r
zkbP)kLCee^sk49eLDvBaYZ1x4XGb`{=*PpBiKH~UI0=hiVtuzqnCn?+)4Ro{V`;8I
zod@qCuN#)R*wR6=2sa@!^J0KL9)2_O>9UTOsM$7Ntf?ikT%E+w5Ble!GnuvHrYNbd
zQ04^fn1_2(=)AW#WS^F}+l{}0gE|68Gwv#7vhmd`=as8gKFwp_E4{l`ewYsL-{#@e
z>SuYGOBN*LaQiKNzD6V3CXP)-_zJ0)_2T8@LB?B<dsmrKa?9O!87f{7PuHDI{kO5O
zkHOS$4{V4*M!bnMS+_+}8sQM1+xhmLCgirUp-=SI3-K_vmXVU01K)H5QX~;eD5}2C
zZp_l$K-Pwgk^kWGGk+QOjUkYl&#`C?Ym}!yR@~W`VbG_-M`#t|A~FwaD9A@t5|skm
zJ!FRba}rI553Bw-y^SNu|3lq7MR(Td$=}_vZQFLzv2EL(bZpzUZ95&?wr$(ao2O@v
z)||EGym$Y(%w6`){#EU&@23ptU1C?~2te+W1}84Dbk9?L<Wp}kOccM~cgQP5v6(gy
zH^>j3TYfhNbl64$ogXam<G&s;7s^$$#7Mi9+h*Q~r|_rcl4^gAk?3dyy{f^p+7jem
zG*3sJp+!16Vk(UU+OAevIO|Mc1CF8QKx4n_ob8I=qQj^$sEo(d6Dz@PQz!cVb}WgK
zH0$Cy9h`Z(e+bWefL|#tnz^qzt|e)`giasEJ|`<@Pf^D9YtUj1b7S^)sh_mV;0|-q
z5}mS<wN0hEBdbV1D-7IwL_Q&4fO3N|v)UDlnw2D@SPYFFiC>WLbU1eXRri}xq{0$2
z)Pj+x;&Ks&A}dEhBVKKjPJw0>1xMsg%F6Y(a=kNATUi3)W*SOw#y+%XA_&TF%gW9o
z4=`KeE_giL-nEmo*cK<GZ$qsJ*Yf=yTY0;c^qsGJvIPY%=Zh2i3(e0hE>C9%36aAf
zMYWJm?U`An`#+!VaHg^%NJD+zWW!uCF~t`^*vFB$DmN~R1<xOe6Exkw0In}-E@hsU
zbj<7BpA#4TXF40+SS&jSJZ+Z^xb_S518VwRPH{J)Y{B1cjygKyG9)gr8Yen-*nu6i
z5YuSyH2B=6cJ{J0zbOTk;N9yWOg}8a^D@54*c3~1E4AB*BVJ1!<j-mbq;Xq>`Z(W+
z_{B#+?1cxe>ME0ZVbnfL3g5jySpj@N4zpec|4)PX6&U|lq@V%u$K(7{+Q9sODQ)=k
z9RHd&{P9WuVkZB%q`%B0BOUAC%_Pe|Eb`wQk}Q9E3je#E>Q^6)-2bvui+|avibp^+
zChIKTTFh)mK4m}2Dva*2Pg;KYe4^DGY89E-<G^i=M5&k{8M&ADaVm_DPya^6vzyb$
z#?8&UoAdLRkB9wZarJQR4X@LxW<^D&f_U9C{kqWao=I4VkC&r7o(t-v72`r*ZtBDT
zYX_ssTBynL-V$Q%@~YC0@^&-ebHEDsUZd=F>7}*mQ*+~UBL!lmBp9gtQK1k(GbY6k
zykb{Eg+J=CQHS?JJSw}og?}2CJ&%BU*1Gqn7gP9+yfPemMpC}~^^oW8cc0?LMPS{2
zQZP_!;|rantn_XXjOdw0R}tZBWKer5hIcmI1&#fXIynoML3zb~l0M>hJSyoy1-s{b
zeGprkr{#PCf*!vSAW0?+h+Lz<LnluVWnHY#^JjFr3*JqV9S;Mj1(XD4$y9^%ah@Kw
zP?2ACnA;64^N8cQ%j$bK%H&=yuF!j9CjxZEx%Gq>?e52!RA!a7F@SxpBFjfE2b*V9
z{_6$Y0-SI^o+C}xlJmL@QU;SZ*gz?8Ok-efuC(@kM(If}=KFmKi5orYY~~R+jZj7#
zf>MtgMU@A$>-RqMT#j|hZ*?jIy(--W;2yo#eL^UY&kpo^#sp~J6G7ledRS$zABD)G
zm)AMwx(@012QXF14f{0w=DtPN_F0<>_x?gcmcv6+6tC+&B}(mLs1r$w$M>uEG>YCg
z@UvI@o_&OMogjqs{dxsQUKU1<WqF+BW%fbWn@kkkGV{jV_W&{Q{JHj_W?IEC-2Ahf
zVM99&hCI~6-x~dBDm`-0Xk)Bqvclzgh)V0%wRqW1#CQ14cAp1dg(2UDutCK$f-PvU
zzWpdK>dt$#z!h?haghr1aPJHYkYj$SsUu!#=UL_txXtw9-()mUyC&5tIIZ*aA-80h
zT3E#7-OkbnXoK$?TCvJ_B$2F-9o1?)aPS?r;{baPbQik9K?rNDNUAid3k;qDo10%t
zbl6S|6Pw^%uB>znk6cM=lo?#SFd+uLg>hY!AyTCohr0fYscT?Fo`b>Po4Uzp%%jcO
zsFRCeI6VfL(%^-a1F!JF1!Ey^ONnpraP<g`<$wXh?KH^Sn`Cz+io@lz`H3oIB>5#o
zo9z*Q(erLZt)GFlD~<={R)#~ShS!dD@^fClHb$y4u8vJs0&=9dI1wD;WB?q^(Z%zi
zuJGQ7<$6a~)%v_}ys-61Jzy+fjOu`$gAV9tKh?sUeabpY+pyC)t3Yb{VCgJ#OsFwO
z1fKguAG$a#g~upU<aNggKSyK?9fvZ&&s(Y+9ed2f4`AY!Vm~eIMkNyX(5H(G4{PG@
z#+n`Y)XPJRS)%Jc)vu7w4wM5RPr4v)l8I?jwrLbA7w()UBO{Y?(c^!-e*PLkRI`&O
z?gnl37myckrXGL?6^K0jX`o4u&~IgKSkT$Y_%z3^g|2^c`5TOf@qqpyfbou$EI!{h
zlJaof^mTyG!g@&gBp3uDiqNw}n|fDkvh(sbKX#%1n+AI(PHk4aCG}P9eKw;!-2A-R
z5Fh<FuF|+%cX>|PoymI!O>5c99qq91uAOtX#!8A?>nHOqsaJZJ@%g+QWSARG&ZeAd
z2ai2%OBkAOeXbSXCGn_{vR-oUyepB!k<zIqXH8_TcATgiX|JSNx`E@b#L-L!h88vv
zjvP3npNTvkvF!ahcay8Q@NWuK-6Zc`dyLxNgnzV*DI0?OQa}w@o@O0TDz)cPgXwrk
zKP1UlDKtQvHS-GpZagP!eNf3<oZBKlhcCgJ-e^01t9K<k*2Yh)OoMf~Gwqn;*tss%
z=$<{>9^=Hnb{%*w$<oo;Eo*ioVfzhWj^RdfTU0DR(CvUP?8rRVBpe!v8}gh*V@u+G
zP^{l=sWPec6C$SWdAr&v8_-a4i@Py*Z%~64*Pe}v%6%H8OIDd02I3L7+LW4#*kM>#
zjJn`hTM`bm5s;=pJAuYmv=`1o<@NMZ$4R7G45NC&X+tuFNrg*Gu&s8J9gLR~IGH@@
zSa9Yx4<`_tXaPHAeRBxQDTGSp_smlk0eJwxqcx`MY2e~SQwHQnPK?^B_4HUI_K?*Q
zqkgdQRYj2JvMu}k#I~b(n$F6iORxwJ5r@~0IH_NO-MH(@gA=9&fMXbSSw0PvqM?>$
z@C4Fd6mde^;fI4$b6-H}a8dgTNu+bVitj`bm)&1GY3ltefn*98b??9z*5Wmm&M7lX
z?TW+-^61LVw<P(@6zbNbXM7ijsJnUo^miwXQ}vmxcgry0$AmmutcB##5!V$*N$}5v
zsBC9~Ek}x1`9S7E`Xc%1$Nc>7`J7|s=Etu<2$DR=pZ24-7G;7RlPwhtlZ`~rjb+R@
z&5*5=dWZrqTKh&6quOd$gn-vx$ljNv@@g<63L2iGMr-AnA`KB)LU~XYkb*x*2Uv6q
za(JP~pkok}w5D3wh;Mjg(o2e0;<Fn*Gktn9>p#1SiK<VN(q#Gehgvs9b~<ln@`A4@
zeq+60yH|12aQ7U(!MIDa1GNLS-nQ~UZw{bly<aK^MH%(!9OZcj*DkkgZ3U4p`1`NE
zxL@d<w#tf?K^cDk%zVsLis*yh_}X^#Ofd@)rxYJoYA9Q)ue>RemN361A;OZ-*xHzA
ze%1BrERu_h4=^&1^zMpBsM?60oR}R^sGDg*trehVSN*vNNLchsBLsG>h}1vt=yY|B
z`W~TPj;1F%jJjIg6rn+U=XX{G|6H}kW64#1SZK=EsZ61#;)Bbx9A3WPEUMLET?Pe4
zAeYrmv`7%2^4KiDAd9b2f9c|K<GfpMH(=^d5j%s3Y$-(K{Gs10LQv~sRS(Kph&DTY
z7W#o~AsN7j2Z$MBe!^}65m~Y3$@1(Ye$?N`!tI{4WLTksM?5%b>3%7(oEfdUYTRjo
zsyh`TI{a|TF0f)r%nBEzr8Ko~Zwu<w<SMLoNXjsD;}Uq!Y=mKO)tzY%b!cH#(aw^N
zZY*pE`+if-6@w^FFzu?{_5|$(Wo(xvb3-P~n8{~yw?p^oT&P=%;$3`odnL3+*##Or
zfe9QAW6x!16AWhPSGBNA3TR!2$Evhay?V7-Omv;D>Z>Ycwt^0q%33_c(PnAXHyUkD
zzZsxt3vQR2_R&XU7y=FhUyt37uo)p>k70HexVZrJ7#ii8MTMqI`VDq4&aqh*;MF{b
z$Mvc&ES0~iH~Df~y2VHF^2G#^Oqvp`zJtpC0%2*gs{<r{eJ304kz%f;G3x;GO}g@s
zO)n$z=eM#qa4&-r-*fYX9J=TG*PDH-&2`&PR&0pAVxZ404|C41IxsGTMOa<0fA3w_
zt-WV`$wU`lftrLpc4LsakGBdiet`L0S#u3UD%N;Gg+B27*2!7fzM}Hzq{TKU4X;x0
z?>Z|P)M)aDI#ouFN~;;Tj8|D0JA5KyhKMx1^!3%NX4$X6W`{TFBLa&kks)CqixA{(
zBMhNEp-Dbb=M<}HSfHK&v}MMn8sW`24g8zkMltaM`L%k*x4pe8$z70!CKZ!pBX#QF
zC7|gOlT%u&&+odmWEB5K#sBT}=fA*p|BoIP|NVC9kL3PWW&XFy4+9Gu-QQv!mVX$K
z|DVXIe;eWab7=G*G=3Ss8o%^-46KYaEOhi=eP22nI(9q;Hbxq{FFN9XQuqDy@Bf?p
zhV^fj>o3;Rf9E%>e`PxVLA`1G%W#}Ez<;rhk3c2ksJOoycwb~%;w_^mYeg%;{d9m|
z`s@@%Ruhs(&{)5%hS!0_DCyU~o@*W2)EUdY-juNqTc-JZxxRS~)Bd=%_4Imv24SZW
zroHUEpTsjpmYi6|Y+cIt9qhEb8GVh~$NdU$@)i#Ae=|FGZaegMPC5g((cD`yY;0a>
zbWvX09sI;_t1zgz=&TrQ|FCoUbo)7CChG&HdRQpw(gwg7gs8st<v11}lXPs>6SRGL
zP9TK5fQ5lwi>`$)KTOaHh^z1zIH=|N&w}3v0KdysEduKmumXYF8gFPPWpzzaMu;9u
zv?J!-f#YFINa|eDotE1M)XABf4$8|e3-=IvBA`rdmo#fC;^VVlS+bN+#cbj05s;)J
z1xzvYzOs4-sq1=YVRs4)eBZYKSZ5v4wNMt@%_sLCew%;|!%R}?GcF6(s-AupDl=&x
zRa&`2UII?P8O8n7_QVYQ+HJc~!3v2BgtIXOd5IEjDyN3;>L#PAC?djB#(2s%uiY{&
z9$t7_QXJ3u#&S@cRL&3z8^99$yE594>9?MuWgarc!iwmG65lYy@C=lOo{Mo9Nf^~+
zV`<BMvvklKy8d9*fw&mD#FGY3#@w}1ycU?0v+z8x=%~H1_!m}`o4jT019*d@D9|IE
zeGxf9>B4=~(c!7nh>78~o+%u^<#4e-yWFb;Lp`u>L>k{|d%LL07o3Gc;KW?u1tFD9
z+UP~}@C_?fgK##?fuiufx)aL$C%Adj+4sU@e@UCl5*d+R@TWr5oJu(7U!Z`PsRl{M
z%5)mqIW9&hR-5G#enl8q7c3h`{g_6K*+f%b&<IphtjyM_<tC?KZAv(@kW>3ZvTmi(
zD3eq$KC0nLb&lJt*}Xuagu~Lu{l8F!urf{8SeR-DZ48;X$4rol-{HOk1XU_{R5Gb0
z#t?><P4D7-&JW1GuCI(pvWOdiWCKp{Z1-2o#fuJ{C>?NP^F>JWfD)bbBIWlyMWFA=
zs*teJ-$tT3V4&<}!og6aj|}7`5QsSC3xK0E#khs1C5u;R1*(9UfItPK?Jzz^u02nJ
zhJh+hNn-5yrqOzi);lE&U_oy=JM6gW%0)ZW?8`N%$*sOtZYcrTb`LYfh7@3^nh~*z
zt(TPhRHiBy>PnDffND`jESppst@!*_#zKoir>-RH7Ac>Kl_i)!8Z-AG{$3;&lwYN3
zDnXjplWlZ#c8*j`Dh01^rxTDJ^4$Z?H;XQyl02ms0{}2)f*JD{cV%BkMUlANGq1Ow
znHj_Sw5f8yj$qE{(2y&mj<sPoa@NCZgz2WLvUcNJ!k#RRZ?Emn*;34|lVxzHTa-n;
zoV0>|{0xNZ>(^wrh0-^EI9q|85k1*S=6khG@=eY;7N~9tIOLgdauLkV8Iizjd2*8}
zw=rQH^hW>J1B|o;>{ok8KGRYSKge0J%h0uTg(^a?pRy{16NM5d%qi#RkrrDzV3hkH
zxQsA<%gJG?5AyJxzawF3r5b12Tqw3Kd$TFMa*)q`eDl3+^~iYjx&<BJxVZgL`WZ&F
z2#qmgTURcd9&!eptC)y?PBfis5+BzyU)vi>uy)jS2F>CSixCvr<+Re^>Nb7OE+)wC
za-K9@K7UTDi?aou_>I2zT*oceCvooPv44ad?Bhg97#u4OvR@RkF_J4WW#h+i!!)IX
zz#=5$9t(skTN^~#m6Qm@`Ggl~`yXr9yBnkwUU`vpfMmW`Yu~2hd}Ey=6HDwocA^kJ
zT8-6KTZf2aSaiUCEaV&j*9K9{y|b*2S}2ce6UltmB4=@IN6R<j6N+1S`Gj7IX&Z-{
zo!a!9LgZ8h6^fL4h*@;n2_~JkLWBJI;NRGB(9@`h>9bgyL&#FT{3G#^bU->xC4CDd
z8z5k~I}tc8&q4Bjldq~WFnqhl(w*<3n}UkNc3?Qo3$8UOd^g{X1|mFSi4E$uPAjoE
zhMgj#)jZTg{MrliNHiYYql2Gx;{Nn=1SC(1yfuBw#$y=-ab_kt$nhGN`ilV`Y9d5M
zErvNJv_#dZ(>iQEE;S~U)fyVLo$F4^MC%73_Dtf=pd*|L>%vvUZE={@l|<b_*R{DT
zj*yPYEF}r(5<)Zs659bPeYp2}+eP5!pMpF_1TjG2_iP?YCmxSfZC|qSi-XzDcaGW5
zEF+;K&n+&K?Btkt#m_z*NJ?$MVhSWN@r^|!ElX%5=6TE4!e0c70@&U5!|2Gu!n}4N
z1{Qo{oL%Qo9>gpmQZ<>q(PD&&_%PJO2(B>#Hqi(Q;oT&XmFC#QoRNjT9#W@g(!~mG
zyvuM`BokI&M`JP@NBK>4`UX5**EP(=TwJ)Y`x)t4m-LyKEf0Z%2m5{H#GkaHv!aw-
zWsh0sg>l**%fP1$vF3<H+7%Mf&ZHJ@7Q>n1x%0FYXz-5Y$vKbU``K8jh0X&0^BG;z
z-Y~I9F6Xm4Ej{VDt4h_d`!v~Uv~z>$S&HfKKH0-M8ez%N#J%kr9xdwW5B9zuSo$Ni
ztR-WrRgLS^T5NH984)gIQPp>%H!90irTSdZufO<^Lj+Ck8Iu=@)t2Y!!{xS#VJ<6M
z9<S>!xOi&}u1{7sa_o!O)phbyE!WSw&pjK;3`91bFi&Bf-7ueawaGjbPLP*X({c^o
zS6W^|NiY)Xash0|tS>69SJ=5Op7YCn^Ezy7XPed4;b820kNoYKnIjJbfw&iQRvRqt
z3(AD-e&~5~K&27NcjSMpFHxYplnt?cyqhYyXt}F5w3jRkvxQEi2)ezgzRe~!L9VWw
zpFYQFM#-s$1G6&}#(WIy*pj;ibIjC)?jLr(d+(oj8p(WEqpq*cpNYv7KH8*z9I-(%
z$2txQm1|rsi;bqwc*+~2S$ni)u`=yAQ}P|P?9AA&2CbbpSUn(!ff`DtMKP8(u%g?q
zzG_a-0OHD6v8{rI>Q~!zPez}R<eP0J_%hjxv~Ri#^Vc{FUlt1H7;^xr9COp#J3u<^
zipU1NX?xqclSC2To9A`p<8}mzd7}$Y4y!S!Nw=N8<}aqb_YQ~BAhK8IAkPuvsxKFN
zi05DXP0p1rnbFlLNz~IOIe#ep%u^0R{JrCcYZO8nx#HSB*YMlpeEIvb5-Nr4m5?Vu
z6S*BiV5Jb020s59q+B%iRG?g#8U~{&a-WsJ4Wg@^C`OfxguR=)fk8i`S%%g6qylWx
z9nC%2tp!)}oMG$}&q_Iv;)Cr}d4NkKeAyBaJ#XlA^+&tK+O5?Ai@d{QE_7K+f^fy6
zho2%WmRPRTMs>QKn^rF2iI8hUVL%?!K;pUQr(2d`6I5&R`>-mTC6BW>WN;znDlAEv
z;@wWlI;d3}0IsNaMJ@b(%cZP?3@B%Bw`o^-^1X>K%hO3y)WMQsQ-v+s59M9%wE*aE
zIHcekJ^%z5<YLv}qoA93>iZCH`&luR;gUoiS&(<lfT+0A=-y*JNaNTZLO*<f{5rQ3
zYIfi)j?{b&ztyVgY-D7H%+=?Vb2XmvAeG=!F1+z-6CAN)tcUE_W|#i>_#POcVR4}V
z15>1Zk+kVTTPj4v=GYx2J>#;U<$HRCl%bTfg<2@cZS75|20XVcc8Vx7iM1tuw8f%i
z)g5wrT=UM-a)g7kGEK0Yge@M6AbY{loen2xJA=Dg4zofjVhd4iCml#_Xzn&f4|!x?
zQ6xQZ0M@^1Fy$*$l_2rc!a+BuUp1tNuS!NULg>a}7lZZstYpW1h@RUuU(Z3(q9Hq|
zNIzdrLJ}7M#TP)5QTE1>I}WQ^+(WDkXO;0-97`8IcrgC3+>J*+fm<@tX?g?w#)Q9V
zQ8l_yC}ymo@Z;n=e>s;0+0X$w?Itmrz%aCjn45oG2#$knAfY;v#3v{S*2m2M^jxfe
ztAu?eC;!#d`a3TD>pt-R&Yi}e=lIv;<c~x77k~E0pZuxe{nMEy>pxuQKa9*DithiO
zoQ$hWS>1lIB_37wU?pcCLFtf0)1RtWy*C0g0xgQL8$P{~MPm>wC{0(|u>*Uo4KxtM
zVqkG+K2H17?cZNvq)V1&tGqhi?sH|l+B7$`J9M<fNb_W@I->?PDJW9q#pxal>q2ur
zbZpt$-(6mwK`R_)R?>er6lN~EuAO`)x%RnIotuku>73S8;-q+@zCeE=uFL0lHyqba
zX^R?hgJk)BAnO5~zAF~XMv3;!16Sk;G=^AO(efy@uezH+l%<gm5dT#4H*3k<TG?C|
zepX~5Vc^J$74P?Z(gL9q{Glx~Uv3RNCP&P;xH#)H(M7C9U6AAm!nX~ta#(|RcOF^2
zK@k-@Y%vNNlS{$kqcuZ1zGLtHi~2I2wtC&Mfy4}K!Kb~PWO|EKmx{1b=UCkVVE3r8
z$V|ynrEyh|?b5w_MHaiBgSV7~s}gqiUg?OGxi6#6A}NfOq`$N<zzwIZz1Ywo<LvIy
zs%SF^+#Ncm0(1^vZa<k<SsM)i0BcP%HO>!zs+%0_O4}sO$LCw1>cfZ<d7e1<n}$<{
zX2yh)#uG<YYs1s^9p(=34osoHnPb6m|M$gh9W>PN;Bi_`UgJK%Sk(QFiTyZGUEUv&
zg*9JBuFTY(6}qWTY<vVv;Qor$mym5@92?Mg(2#xoYf&sQ8)6OFi7xn+^88Hv0z0s5
z_l3%@0PYs(=RJGpnWTU%@0FbiZ?bP|USoAo*P2SKk$x&Vi;~O&g(@`tv=$;NaGSPs
zc9o~u*hW#i962wW%j!8MIn}cE;bNTW(SaD?V!a@A{Zo7FW}Gn=AegA3OFf&$!CKe1
zEY_W8LFF6!&6t82XArr>Zo(Oi!<s;Cr(IPNR(<48oiu5-C>%SqNDI;ht-%+&vbzN3
zj<Vb75<eAUL;Jc89jX_hV!J%TIKZCF%6wN&8o^4xAD^xx4=L0Jh<PcKy@FXRjhMH|
zOj(e2akwuIKUY&e@Nh>X`DU&?!%k~>J-;p$Hl^gy<1QGVGAW=?Rm6mAarvC39;d?C
zI)=lux=SZ_5Vbqy?x^fL{M4S-)S6aj4%(uAiqKBXYZe>WU>2IJ+GpTrnvU?E(2fIH
z2NGK+A-;24N%iY%+`x?z=nNU=xWHBNX@fk5BTmk$H#z*=(LQA1;S4)j7e(1Tm>*5n
z&<SkQnqXV-`Gns<#m^#q7M1Sg^u27cp}>2-w(;A1@OWcs0dV%kroxu!djHW!j|&*W
zUUIf;a|so>6BjoFRY(h~KlLr=y6cErx;DI`ZL|K@o`9Sv+XQ;O(LDH~Z6)z&u|!su
zXqZHVeRBZV-0%0m*T}FGE57(jzhn=`NH?HM9DMgE6a4<h`7;({vGPs?(}$b(!Q4!C
zx^P0iU|wA?Jpq&PEB)Oy8mAs6A|nHA1W?rebtoBs(;<qkUOs<QsdX{CSYdXS;Wh(L
zf(AM42hbI;$d$G5lZZ@&RIj*UxBAgncdgS2Q8uZ2UQXCO=P_j%MXJam`gmZ_RDIOx
znpd{?QkkLwAPVZK$?viYBYgF**7@I^001CbgSPtelP!*hNltfNKEvWY>(#GE4E>bt
z`b&c$ISn{8;$j}q-)bI3@j~8T4dl^MDIC7J5jE;S+Eiz@cL{KA4pC2v+}iYHR2n%@
zzn6So&AZO)Pw>rtd(p06Ak@NR&3Ox$*dr;Q<&p#*($n|8PzI@2%@wDcKt#SVCNL{b
z;aUj#1x}8MnlTiI`CvTd_Pi2u&5N6CUVayj4FtU333pdB#&=|vdFz+CIs25AhMH_p
za;z`-F?byS<0LWw{#Z;@EF8Dm2O4!q^KCU)0M*p^*|C8S<42tu)*|-g;7e@OHTQjc
z0+1Yvn|^sK+*t*|<xj3(Z=x-CE+mc;LILKiH8i`b3IT@6PX{%HC?6l9QI=&z4-d;8
zX-D#*`~d<NhMRV4BjvOU^kRL*h^Ka>$NV>;wLpW^hO=SSlN2)|Sf|^ZrWZV)MQFAh
zl;*vV?r)+{Tr>N14?FFr>4`r8dN$Qy3N6oWU!C=I4j5t=kKHi((?_Fy4v%ePHNBCS
z{Aj8V`Z7t%&KQ}pD(Z{yS6CBbiX|U^kKMv%?I|NwW~^#vW}ya<44#fn{=DARRBkY5
z2Vog5(e4dowDIPO<kLE|v`{O5tY6}J5F*L1dq;V#yS&@7JA;)R7Gylnq;_ldCD$f;
z5AZ<Kz$XRt+?{g3lqoNZ_q#P4R4Ml%VY#0#bR8{VdFs&`uMZ1x2+AuDTAGczp(~lq
ztKr&kTyLbA+(*Nl@iLO+8qv|h-NsF<fp~Y<pHx3buiFpvsLT~f!d2HmggMezM&1;+
zF{;C+ie1<&hnSu_<V#4p#yq%-C&5;N#hUTZY{P}|pk%A}mlU1$NV|Q1COHrjOHj{E
zP&YF_i@VEC*QYM56}2l~J+vZBH>UO;cO@oIGTVW%F(>82cx-tW$L^n7xX=<-hiy!6
z@d-@p!qdfb%8jl;vII+eTR_|U0jt8L>@1SfE{#kgMZSRa9J#IS5WKA{JPNcO$UkB8
zYchU;TyT5>b(zFjDv;n6sB>`ZFbPB~W5K!w@e&^-UfP~XNyNncAU<=xW>8|KvQtK5
zN*?g!1i0MBWxkap!&cI;P7ECym#QhVP*++~Ne~dvXx#9;DwD)st&kx9MseZytsqPi
z(i+o3kU+?TAo}-7X$dM<k}Eet%Do%Ffg0*zmN?V+R!qr|r;M2O6V5P^%WX_=s8<&8
zPqCNP{2r!<vR-b!R{XW<9-bOM+RV6Jm}7qhpl6`Lvp@)O^$v-ccl3>@4BCfRbJ~Gr
zY~+j;3c&<?XMuV*4Y6M>ji>|9;x)J$XMURu{XLt$@;@HXHwW~=d5yk#^?sYIlX|qV
z^zVF}*q@M=T&<pCW2GQH{F%ZvysGiE^CN%xR26sI0hq0eP7ba2IS!HuxHAyCMTMh1
z)dreG?Opplec0Y*ZTIJPOL;n0d&m-9Yc;dL&+yz<U${gdds(H3v#bMf&(obZ^%Q)J
zFnO=R2wTNMAiUsS;jh`(^X^k?GI7*{k<XR@xj<h)KYyE3(PiO6OPP|JnU5sd4UCDq
zF$c}wXA%w&Y{l{q${Yk9jaE*uABC*G)K)EUYul+x2<e_+9BfE9%MO56VWK5xfN}8@
zl>C8CoITlik^)b3zO~phh?{w^Fog~Ee8)Sb)ci#zG~msSS|br&bm5h*Z7ty%m~<K<
zO@>ECo7*0`UOOYsDmh%fA07!^n+``mkZO!wfcM6o5s3rMcO2mz<61b68DmlGwTSjV
zeB1jkp_?>N$Olx73oC?hIjFTz!lOdkeO0*4OEfMGY4tBVM2jv|6a%o0a5{PuUI(0-
zdqo)@O09VU-wz6-umQ>aMEixGpq(&_xKZ0}^(5#YxgRU&z|Tk4i7Was9pRlMKb!L*
z_>0^!#zl}GL)-_fkf|a%lREhwDHfsY4^sHQgIl`13A6qxvS%R<Vb8#8PJGo4=iNar
z-=5Sij!tevX+JqfwN|M?9gX&Ubs029ffvGchaP?Kx*|_q_OyJ3ZNC0-|8EriUq=*w
ziQNAiDas%D{jVzhZ&fA+7WTgr;8_1*M*gAF|L|%5ca@%@G9J0g_C<gre*>78B_dY)
zLco!P_^fOAG*ds+FFi1ktvvEjiHRkilQFK7z!{DrcyW8?=i`#{_`LC$CNW5Vwq<yx
z>%KU;x^Qt($ItG4F+Em_<VI*-((SI;w$JpV4>^O5?=4<V8NU&I`-Jk=ei2%c%GAjh
zGEJI!rFvI7h^=q#IDDxzvofOQ|7_54`fzi7ufs(4)>QmH#K}Y<8aB@+7p#bh#Mihu
zi+bHU#7G7Qf#ea~7RCWGbG$T(oaZv~Bbakc!Ir!(wR0t#H{LN5NEus>t&hQrOD1dR
z6b?+@n!FvOR6%qv8^gm*mnzSo&K$Ghc_ROafux`KorDVLI?0}%eFDQ0>)0HJf&)Xs
z2PmEtB5^ZZ=QKIGOTpuigTyh;e^ulhR+ATsUlyMiLG<!|^`*i~1D4v>`RWo)8x2S$
zMPg)1BId20E|{%TgDianW{7Hwni|O~VJmAgj&^Pf!EH2H6>dhdMlAt1m7MaI#Rfei
zCs9z{4)QMVkHT235qhD_9vd#m%{-DgG{?@3v+ZA-85eL`-_%CCz4BYPQNwT-cp8Io
z3D4pnIS6ltNIqw-r)aHRV6|ip!SnXDGpt%l?mAYColjq949lmdrsp=Pb6f~ZTmT#<
zW==KJcAt;%!6L9z4P5R|H$F&C)w8m~0x-Sw8_oA+$MX{e#wQCDFHjWfl9jnfxwpD)
zmJVINvDURv4Rh0>i|f%V{hmS<*c3y|S|+ZY*#l*O-XolcYrCaN!2zL+H#vz8AgQOr
zB9^ruvYSX2$vi`-a$y4N^hqmCvSHNeAeVk<M|MsbR3~kYbEK>S+Jd*CXBydv3-UFX
z8I!Pq?l-a;6WGu<eLZ{j2B!NVW;;!aY?I&0Aa%c*DUJD~!3}PqW^JW)9!aZmbxico
zq2d~Ez=bxeBLfIiuRIppTA#h!Fo}4G=QE?@A+}2Tz+fLnUgS62#FC2=<mIR1rJl04
z#qjB4!HBjvnt7WAYSId*YNH}_5p(HnsgyDh%{^~U&Opn!9hZCvREPQ2POun16ph}N
z<^%@-A4DWCgJC9E5gqE>%Rxxa*wFr-|Hg5H2At#z)pZQ2A*h&){Ol~Q6_ZxyDh`zq
z(TL1JtK^Hqc{;Ip?vE|yM<~F3e2e%_C(ndoCQjU!@toP*`nmk%QM<BlELDkOJumI>
z4-1F-)I}o*qw^7Cg}n=#Co2U*>aZ=<B@p*`?J|95Fs8|Id1_pFoHsYSzc{-f#bDtm
z5QF%~=T*U&eTTMOmb+H)*w+9brm)0Qj~th4rKIU$cZ$@6OPqhcyTcL8LG~uxL7l=&
zy7^x4w<cC!!e7rDMPx?i@R+3LNlbHJiT?bdNQcU0f9{ZX6zw`$44g${pxD^wCdeY-
z>;vfYP^;{##OQc)QZe30W*L_!jI;_p>EuD8q1O_O8EmxK5*9FZ5)666{X-pP>S$ze
zLoMQ-F~U%7y%jmTc()}frY%jQBixYb*WxIecB=);MQa9hSHjI)UCOTw`h-Iz5Ql2V
zlJ6OW`JmD{(?6YAKZN@swCtYc$}!v1pj?w}9Pf8F2URKypEKV(1vBXRPdPWVwmQ;3
z0Aort@&3&_{%=9^|B-k6AMC|HZytY<p8o4cik{(XH15BFS!{p%7WGe&GTUD<^M4vC
zv%vg039KZDaRu-LIcXlE;RRF!s>2{+3~T-#`>Ep}Po9>jRC$sHBnr^0M8PVAgVVA1
zx|)_o_5K-PRnm2rRb|!L{?5DDrk&J1F?x!?f#@<m6S3&|dAa($d*1pZku%|VH%Y0q
z&PALA*{Z@p@8yZ({f_p<-fZzzai)(F)eL{?{e|0uZ&2bva?z-xm6OMp2=s_?ZR3;6
z!~N6o^(g*c*L~hxT~S<NqXbFHNAak0PO-MWIl{icg_XDY%$l_Rx}cpCLr0XV%Vg3R
zKhLfp46nv%C9B)^*E@w7FY1UBtyw-RN{h%>mx*Q-5C~B#n;LxP{p0?!YJ}TD?;dMR
z`vE={HjWwGm$t6AlQ$RE2grcIXaC^%F{?;NRIu8!X9=ZK`t9iD{qy#*-m_}5?D8|s
z)BQCe-UdUp3%b_PS3lIiPZyX8JZ#AaYA*v@^s&ynuk*QoYcQ~4rPimw9Eww!aw<!?
zC6H|=u^`Jl=2Q^%8L{_uZ%xwm1%1~&h=~Wlv*WhKsqSH{`SM~THcK-q44Nd58h97M
zx-T5ueSM3`u0O>3;M-|+d5!1NHJLNuG9!Q<8BX$cC1X9rDNusp5D(E%6mSj6yidfs
z91x3?TI=hpe*sCvE$^dS9p6>L&r+nCFmF3S8(Xg>Vak$2EK^jh@cB6J{qd9jG{~xx
zLV!vxYRq#kAbN~6)1=@Jd@$uT1qJ?#vG7{R${{-zqmDT@H|<OdIBS54<Gox%!<wTN
zmr&=u&>GQN0qtZ>KML{$-3KLP7xnqT>;|@qkNWmOZD!!U_^=zxv$l25AEO^m%dO?c
zEXv_(w9A{2XROm2?^5F<WR8a0Ctbo$$Z1U4hkU$nV_+a?#zU5Ryo~oVC7w#gB0j{F
zG8;d7D4k17wCM@MQdEE;mwv+;5pPynp5WWb=cAzUl39E3f2XxaA9BwGXsBFUa?Ca4
zctp}>^V;;g@VmxxB(6|vL8oXdNoXRU{yyCk0QAKhffB{l{Emu{6y40!R9mLHu*54h
zqmGf@FgK|bI_eWO@5@QrtUfs*KdLBYrnq;Bhu>#k_1L;*Rr}Cpn=R2AEFxRpVIRLD
zz!f@*a>ySpUK!^KqZH0e@RqXVPA{4Yiw=e6?X!S44}QX~r!w@a?-_rY!Aeu39e)w?
z+8ybXO+f?MrPYmBDSW}xw1@#_U8F?0h=A`G3tJD7!Xc0ys=Xs?a{o<9y;!h($7*Lc
zXnx*OB1{^M^jg9*8k1Q^I0TY;R#-mBv;a&3!>rciXV!{SX4>UXY`_<NhBA48a1X@!
z2InnU$&EdJ3*-9z908PlS{V#<DfVBYguu+qEM>}Kno30FkxY4t=-w&(_oif$Z^I!6
za{N`-3vVlfW#zX{173>uOpEHJ_Eq-wDQ~^xV<cFVRzf~2vA7Nv{-%2K-m#CeGsWo0
z{0#7NU`_Q<B1E3_SDDd>bvgP1Ec|F?Zw%~&*Ywln$hUxK8j`G?(1lQkEevgXrc|xm
zP3$glL@x)^CqVY$U+J7WJL;}=CkA+_=+U)v`Z6{KBqvG%XCm9pHHjEkj@7qNF4u|0
z6#H+}Wp@tbDXO@Ru*_PqmX!Cb-Fd{%vxiq8skvgeF8sK^K2w;0=;6~$PrVIHch&7Q
zcNsBmgmStZ)6g%8LYcGH1&7@vq^cHP5lWgH1*72t8Rs_T9}~|?YL922OL8t<p!@Ff
zC+}HsmM^uK*ylPNf!WM4ra>JXDD!9oMHlSy)K?D)7yR|{tgn0Mkm|p6rmGf1y_4nj
zLKvATFOHbA0#~&Z@Lk5&Rh8A9R<GE$q{atE%qS!=Tc}dh+l8=X4ZCN{ATyn(wgzq2
zUV|gWu~|Rq)(F+roq`vHGe5Y`smi+CD3vj}z`hDl&aBj}%kw48BD1GjEU1)wB=y>R
z|NbrP!c2W~8{-N?;5P<Sfcge3Wn4SzU7O-vu?|H(u{sX)dJNQX4W_iuoj~17>_*%n
zQ-DL?a#t!t_BH4;dTX=qau(OQa1r_Hx->Pug~#%9hrH4RP4|A0&QgQu_XqzXpQ6_*
z`KBSo?p_+!n!@Ii%MnlMJ|=ELwb=mOSk3L@>(L}~5U&dla6VCN=Wmv3urt`a)l~%W
z<(KDTVWOY%F)T(zR~o<k4>bF4bH%G@rY9_=8$P<(dA_AC{X`?pLD?V`M_^ExGqCyO
zCjKmOM=aKn9NRZfV&#~kbB2qe%}|e&#(zyL$vIIRR~C>=D2d+K3wM-tu1RxNcRfCs
zt<!QlRc^IJQ0M{gyKow>QrF2Gb7#6LOso^}CcquvAQGd~iUdiIaB`;)@XyiOY@`<D
znx^3R)kg8EM;4T@Q`%Gh*tO^*4=gzn^UA}jd@^5;Wl{<(kA@)i`-G}OAN$~RAA}^o
zX;N^Z5?a`el3*P^-5;)4FaP(<yK;Q^2lW6e+^2(muvn`#kC?SxJYAfQ5UKi7kfYmu
zy_m)C7znS33Xvy^Ow%GHY3{OYPWSejp;Kv==n*Vls^)yU`gVpb&LY+&tXW}&w##(>
zyw<kFd>0Z-5m$it-!j~(!t_%Y1<@AX21>F<Y9*KsQl;~@M>>r1KaU0mY0mU*;A^vt
zE)jH1l2`#Miz}WUXXzPWV);-2?g04&b<D*!Dh}_1L<q(ljqRX}irv!~e^GY^*X3$<
z@Qmf+Ox|`1gMkOlw0N0ZgSLvI_WT>2^pCdO|HG)Uzc&j12%vxQ!hht?pTvrend$F3
z=^qaNpBjaKfg^sJ+M77&|6xY(D@zK{8t54t8~wW)A=^KPUjIprkm;*2_!j_z?$5O7
zUtox@S;W5v8`=NEc|^89Y={5JfnfWGl>NK0|3XdtN22dsT_TF85xV2Cs+gxbRJ8q1
zk1+FFGdemRXm1gbBTVb}Gl>sRvXEF+rIW#MR!q`XG^AhZ#MjRu@q+KR-a@mRL2nS?
zNu8b?Z?;pTlR>km+px4G0l;@RFSAF+8OqrTp%YEOc{el#Z)Ps<^>0@h3oFyR$KdJ$
za~RM(FUN!X_cFe+cOwK23=5Lr(|Eg?D5pu66y$95!wMuKpPg4fJ_E%+Zd{)-nTj<-
z<%`SY^M<`|nx$qb8{b!cM@XoXLvqmY1sF0W(V%Ot+}20?*p8+U;q`Ann?CE}v6>=?
zXPvf!$$Vnw`l<PhBI{98Xb{E01pkO>6GyB4-IJ%hY0a?0(>ID?gcu`~er=9ne9Ad1
zKr+3DFf;%#{V`_Izx=jpi#cq8(C*=B1?PJd59%v~7kBY|cs&5|o*&q6*EBQvOY@sD
z#0fDu0<nTrMtPYr)q!NWyz*`GyM|3ldsb)T!&*^2YaFMF{Ymn;ywDgxm-4r22w(Eh
z=oSbm<<c<U6bD^~h;+R~Qsa^`W(hZ4dcsGpFz%lZya;ztQP7+nCE#xlzA~7o&f(ET
zpDX|Yp1p&RS{PNTMN-=VoDV&l=*0VJ2iNAFW+{<Xo36M^H!FDJsjF;8Qa0_E!Ja{q
z&Da^y1<%_(9`EW82{N0eLFkhgxP-=ehn@hC7EoBH=4(4){Hj5xh8;`Az5(XHX5~uz
ziGs_IHM}qR`k~yrmQ029q)J>2X(0`Vm+^j6D(gXq0n-B1G#U#EMBy%IUz^~thp5GF
z(#k-_+h?<@F-vRx@@i~M7JK5{qqx3l_~~1gLnXXg0Va7)Ah6`89a0lW7>?I2Pi3vo
zrTt)MWmIB}kCkkmIjwyc(mTU|lMuhce?8iDOVPkI%AC)1X<=XhJBZ1nN*~mAG-+bm
z!rU_MX-FRcAHjGBO9X^^!|%H&X}XK`bs|>BKI|jOG+%XZffkhfG<~l{6oy=M&Kj8N
zFU~XByiqmS=5Zabu#beA?=8V32Ch9&wa8}?>k32vvpo|@Wvo>Kbkd9!b%;rI&F<c&
zH*fY_wn&J|#AqGkoSY0(!r!~Z*CIgS4Tmi?|D?Gmo6^-lI;Y5?a`Z#YctXg~5<M?f
zo!GY#eQY^b<hHDo5#<JG;<HIFk|sq=TF;hT9wA+VL^(lyZ?=@QVyIl}5*m)oQ&7Fn
zEmx%PR5)jlFvD_bSYI|iOe}S)a><mC=a~tuz%JUhhSbI$(4n7QJGlh!IE0CIc87^I
zJrUe*mJQ6{QT7pKtiit);x!=j+YANzXg<wsPP!=qgsq-2+wWz1!XJHmJ=Q2pRn(b7
zYxPE}`#_T}2ji-8CFajy6frD@=oBX72C`xl&T*`Ojuf*n<S+?-X@HKIrX7g%<pG|0
z@N=H9UAHUnR=y#|j?|b99nfP8`5R$?wn^U%fTz3x86+C9{m_@k=kkS3X`)@}e>TF;
zncQn~Sy)^8D_x-<3;7F`jfixy2Mi)uEbWmqx#WS>mo9Fr=UNDFSg>U%PfU|Ay7CY!
zqI4wvVxlAT;!ZWaG*(NM^q0!ex3+8nUjz67su}dWMkEcImS{`M=)D`mug6u<6f${E
zBkpJ0QBHRje`=}aL_L*hDMq@u8a0*$k~~_*sUT<B{f%N?ARG4C$&*{j&x;7MWsT`0
zujoz2j|T+-H_402i~TL`?P0JNmPdYev-nyk2)4_AuZbr~Ab5JFgCD~%E}N&o-JvO8
zJ5>~ti`$IvhZeF%R5#+zjhz}nf|YrhWxFw&M^wy4aB|9BUBmb=K}Dps69m{f+qP=f
z*-`rTv<z$m+?zwt>4nKBO_13(vRChRhaI}57b(ccDwuO?uM<Q2@_unvqOJy$&}t&>
zE#vIjMLy}p2lYlfPmWxf?ro@V$*fg;=O$e<G5N4%eI1{XNc%3Cm(HRrLi>Q{B0VX_
zbQs|#6AmXy0Pk?(`|mt;Ux<o(zj0Y~jiamj{MfD=d4O?M$BEq@RFKe1#dj1s9c=#(
z1KAYIb4qndtz(D!`rRg5TQBBxv}~b--<tp<DrmCNl#u&l`(ti}o(Rr__3kcH?vON{
zWn1zPXa@%z{b;g*EWb7ZMi)_4)u$mel%B^14J(!qo4D!$Q#HB|!T^sos-Hc8)7&ix
z7Iv}6K;<VF{UQPPp+CGpu`PYN^D`qNva$dfu0E3M6VDh2i1?n)=}V{`S7O#U9c;#)
zci7bXu~gYl841k|`q+EkfMl~U^<K00K2`YTX=#bMfj2D&2GOS;=2r8w-G_qQO;ud|
z6B#ueAfBGM7KT(pcN_z>R(3VKx015NenJ)_v<Svi=b-W{7PM-3zQ5kYwP7WaBxwzi
z)o3nBw9^4=u9FwAbLY@30yfiV!cfTk)<J1A=Xiz@EJ+aJ29#;5b3Rz9-KCJiuv*<%
zZH*(sp#B~UOAf+CK_WKC`lQbbU-0{fO>yQO+2T2+#{veh(JbN?&GT()z+6+^4~Ev8
zvt@P(OMHv9rZ)LX;D*pLBgdxcp3$4G%yK7}48hH_rj0?O>h;5Kmb*Wwn}5~alpV!&
zj=RH?@y6<Ohtz@K7}FrG%A8@FLOi*5!uOU&d*}lKCEhe8R=3*d&mt)iq56t7l@eo9
zR$Jx(YG1UB9Sh!4p^o0QC<4DV0HQmWTWB<HyT~N!my#rPR|~Lihe(8)ZdIYazW1>p
zV7(J`W#;h(>~TREJImBviLkUAH&kan^}h{5hlNy_u%vLRIow3m9z7XC$54hXJ5aiB
z<S1NFbS1~6BnCKOrS%tpPhgMB7Y*-E^omEY1dQ>@<1cS@QP|g%RN>o<nNIo|mpATt
zV$@S?;@meGj)V0&E>6}4G;E&-__R^qB4DQ0_{atl&~WZV5w4O~AZPS{kcb^`n(O4R
zO9;gA=vcx`ZwokDl(X@(z%x9(8Vwqob<mhqU!aW`jqmJ;l%6`q!EsfD(UHU|rn$}E
zpDH<)W#jbr#N%m~)Fy$gDWlT934eT!B~Lk-ooxW^$I48Hu0ljDEdBJeQmL_MEttN*
zdRbW@P!5r8bsI@FR=4Stu*-~E=x1eRXheScjkLBf<+f`p*ZO^BwSl#Id<4e52y3PN
zYTRPo6I*OeJ!WoObk4rLj@YSX6ZZo;OP1XIf68aJza=pm5Pt;YKb_UH{R7|i|FE+D
zZ;0=o=lIuh*dN*XuTuMO2@?Y&+driCKMcg*)hYX5pDF)?Pm<>v!<Kt2aP5B}zW8B3
z=;)@xu<;u4Ky1NmM;O?{0VQdk-xY0Q#1ZD#FH9fV8gz$#$;qEnp*$DUV$O@bz4DUc
z=DePp-Wn0M%A~FD9<+jDdlVTyJ{?{q*T|Eh8&t12!ui+H&nP`U&As2qiJM+qJ3Esr
zMI+d=@2yv@@4|-5TK9b8&X2G}=t-(?KMg<SHkSYOHT4yY^(BgbwkW5(z3(1~%;DLI
ziTjL+LrbZHi&!AY%st3dSsd+%su2qu21Erm-Nlx?x~@5x;Qd<811fIfSaZOw&m{@r
zANJrT-M(%V=HP``qXjeLO(sHj;!O_O69kf3xH(k!=n<1}LZQtI2oXie?yvhLy1>5W
zLlSd@AT%If{w})`TQ~Zf+=8qz(%I2IQxMD>Sz1rkndvy)%eeb)7lUN7yYIHg5%);v
zmsIDG^T_mPGoVq4=~IBnOT?w8G!nOymjjR0hj5xl=kvab`3pAY=eoOW0G!ul5z*w7
z{ADRybVRsk+|ABuy6Z33k<x_K*y+eH{n71x5F5`lU;ItVhLZ{vXhIqKSVZ^`@UV6|
zDW(<$Ithr<fhQJRB)_@qF6LdVc#XT}Gmmqcn`XmE8xi*lR~o-VS|~p&Y@o@<XUW2_
zwn(+|+d>#XUY7v(%T=}b<bc4z&VlZtR%X%d2;mw?hc*z;_i&mCF&jq#w;FOU*$K9r
zQzK~hY2t@EP;&OVBJmG1<AB?IT^|OcO_8veDRSlr6zY6dB<j*hc$}bpCJ?|qxvv7}
z^7cT@j%%qU2ID17s5X;2T@4v|xCKzSbV1NDpzxu-F9g|d9Z3ofJj%Ml1gBKxnQBDa
zW<DcY<hzo+f}IX6<3k|3+a@)Iu~P~9c<qL;l70|)0ab<3A5zq&4U#1R#;i4Cr5>45
zvkYKQGZ&-n2KQs*2BuQ1RW$1+>dM{TGxd&s2Jzffg*dptCeEuRMfJr#;01u5E)m6Y
zNk0o~3{}P?!>^1|N>I4CvrrG#*l*W3<Aqa1BHkSK@zR!RunjBW6&7J?U4Geq7WKso
zS6kqW&y+sdJ92AdVu+C0ey8k0gw89H*er#~=7vpWDn_`UlP<fjnY$7IlYozq-@up2
zw~!Sh$mYl^aRNhn&Ejd{arpxBq)5UACKmq2rItecY}w05Y_&+F-3D5vg3Ul2O_qb+
zmq=PQ!iK_juE0OE<NqO#FZ&G$iJ$kI1@nh2yuc7*s+>0_W5S%qHXw(rz!~vxA&w5R
z$;zK$Hw$11q@$%`bUuti#PU4Nx+?we@#V!B%He!NM~ISBajrusVj&_j-QVw`fW?(_
zo*AwSMJ34iijVpf(W$Arkw*C9f~l;9e3fy;)A>?vn+ep&XKpyFzj43L;DG4N+=^kU
zZ0uX)Op)CVkI>3sqUGnNU|BlDp0vUe53pO1h~Vlx7DUe#{J22-9MOol#~h}$OWPnF
zD|;xiG5XE`ak&=S(1udKzaNt*lr*|APq}2PQN3^EgW^49|CE->-IkRQmei+aiA!<X
z(-*ezIjId;QKq_D>%D;^hCqo3tQ=yd?Bb=iub;esKwnpww3whBDL}QA`>nO7@shqs
z6IrL(1Fs_FK#3TmdQ^-=P;Unl)K-OQKNsr`i)jDBrk<aC6G6P0BfJ(W$0TBbrQRB*
zt_rjRg?}35J`_TX6s+G3eiq=Koi4P2ujwua7>ank!y7(^kDyi;5?Pph^c>u7ssI{d
z4q>VMmYa6Jh}c?VD}^mxic6+bfp6Nn4|XM+Os`9dpjSd)uhZZ>v7%ID*(+VHy>A$l
zDYwWZ+B){lbIjLlt!@>?@i@6I3=gTJs{Ry^7nQ0smq*q*G6p5m0H3i|_!m`}EF|t<
zC5_2=eL13M`yWNc;Ztbv5aIj9(!evZq?AJqqm&E&+z|u;Tmp|68_eF={CQgw53!4r
z%6r=g>Eo(!`0Dv&GCSsXVpC%26+&>LlnhrM3)~)Hz~~H;9uM4~fu&r%dq+52fcvQn
z7p@%lZUsSc$r;zmyro$NQ3D7msob%I6!OaO`To*IGhyUW4By*PHPb|dI^>fsO~-}o
z)txUHg_nq!0uI!94X%z{S7dfqW`?k5%XKY)*h*vVodG0xi2#Y&QIam6eWXujELBMi
zhKf)Jveo%k8U%mlCa$Qg%ApOGI1vhG*U_sMu<c_ti<HCMRU#+D(VZ-360tTaL`ATe
zD=Db;W3XQgofon>s+le{=+AO!7YY?roYkygq!?nIkkv<LfCwm9yDCsQMFSqRVDFvV
ztQKw>MnyDGn;XG(CtR*J1;7?jn<IM!hV(W;wr~2}oHd+%aHLn8M?{3;saP1Dykv-P
zGB1c8=Na>y4+Ad#f7HEIRGw+ptqlZscXx*ucXxLJ1a}Ya7Tnz}xVyW%ySrO(hh$S#
zU0vO~d;EWmu}{A5h?gUtdpy8>t-0n}Gr<+}e!naX!2SX`l<m>Q#<i=I1cU*qr>3kK
zSjegJ%m;w#;y0Nr4om_K)W@64Wnosp(=Iz6k#WI;CnS*P!mF=7b|m1u=Yh@m%87}j
zz(hbRqdghvQ#q#FOEt=sfJETj!ve;)Mnz4D^etQwXCdEFwP-u$(>w}VgnKS0$&&sA
z2`yN}9dnZc1Iy2bmI9)$_R<wNR5gmm-KF1dUy#(4HuJ^^SyI0o0)CL=1lpqFz9U{w
z%UP9FppuNVHxwQB1X$N4xsRY?%zKH%TQi5j)sq;T*rdZB%!ca?lLE<J%+dzw7;m}U
znu|R6_em}{LyA_2et((aaBOZ60w+BWK7hoE=A3okp#%jnDM|Y5Aew=?itm+|kj)yy
z!hGU)A8}!JZXU^Q&!i@AJcAz(2JN31Za#J+V@PbcqZ-07*U_B<?q!Ac5C&w5jq=K9
zl1E}Y|L)js>56ElWOtu4?&7NL!LAjvcRt`c!RsWZ+CZmmrRA!?vt1rc7O*15j1y7q
z-FfZ0VfJ9co<`UD<)KoCJ*}f4(nRjGux|^swzjuvY1z#ARY3!Ibty0^;U!00LaL&r
z+KaLPBO?*we(<rTvipK;<!BeqyeYZ_t^b|huelD+^6rtq=KAI5e?i7S8@vBII@26~
z%sl){mc#FK_q*cC#LoVw;`$Mh^rxrlpV>wqYj$mIpc#}28N_W>Y@r!M2(>u>(X9Tg
zp-K2hyb;sK_%$;pC!vj#m6i5y4e)=ox;g(<!u=ciD-$~lJ>bIw#R}l0XD4I<u+y`B
z#B#GTGt#rOu>7q#?%$8_U*@<u|785%n(qI2lD~B{w%=yS0c`(yw0{+J|HjdnnK?fa
zpI8Z*08I3(A4wXljI8vGEFa%9G1Ieha{Rr+{XVbppW-s-pG^NRhqJM<b^Lg3P6m!{
zUyVPY-rU9#`Xj{L(2-E<A1@8S$w|-r@g#tcR4iry)5nuBe!Rs0$0zyg@8YjQ;`d*^
z|9}75g_gAKIvZl=Wz{qR<k(KSfL?doCf&4_!Y5u(&IVa`324&fpYM|~!eMd6UdvJO
z9599*$f9sZ*LFes<KCOygx8m7UeCor{QTB@w)<E5bsbwDa`y}ZVesptA-iD#&~K##
zJT;`L;fDw7=iJppL&EIt(9V!Fl%Q0>Gl}gc++!DOz&8{zeF|&GWW>(=iwV8;E3Wu&
zbn)xRob7y9>>I-5U0qx4f>1Y<l9Xh13Wo9EJH@iQ7!6(}vq4010bp3*44y13QU|aP
z2M)~NzZDw?<9^@%>cZSUD<F%U8rSxgnKEP<>4*wdt*gICsgG=00o?nIj3W0YpU$Up
z(UipeWD<MKOrJPTwUpf?Hm2Som_Q{|Bp!$gChdXSMtbnjqtAM{DeCFs*dqwBp!}<E
z^;Plg!P8wQ56evhGWl3Z>Oml$&P>;QTIKOARo<_?@7+psu7TN(AH{?WDj)nWSRbpO
zqM7flZm;m^KYIs%u~qp(HC(=DJz;5$Du<A)EKgr5>3DS%WTo*L&pg#wnGLBn9z59x
zyS}D$$7I)3mOg|T?3eiMM~GtQ_voZ>WAplIa)41{c1;lU63X%%v~s9#t69^RRc!cM
z(c|<rld!osCCuC)1oSk4_Z+b4UfmIv<ze8oQ|SxD>JqKJc48Ft2o3E<1FlZYEAp?z
zNY-TVE>%5zdQfd88~P$I%I6yMzC<i<R!J`-YvXv&#AZ0mg}>`A(PRvXeoA=0LZcHa
z1=frDt(XWvFXsCO@@Xf)Q*<Bmz`-h4H1KBq$Fl~<E_W7|WTldmgUGuh=4<I^p{7qt
zm}`FVaxf^$J1Tm;F~A+C&W_zX<73V|>mYlC`>?BPMFMa<>kP7-9ztF7h~6o>Oy|j-
zKXpQNS1x(D6Ueh5$RFGdVkYjEAyUuuPD=zE9c6!r+sjaSZ<q`vIH$Oyj}@MkQwbd)
zMqK&n48T2DVL*|&zu*F>a*?m+<#4u!%c_xjlteyl<H1XUNbDzZA&AZGBM#pucLhIQ
z<cCTp3Ao2Ttd6EQCyVbPA=GQ-YvkizVx!%nJMde`2ZM5V2CY+EBHnDaO)Eldii&KG
zSl|a|DYlK&5;+Kg6;uqugoMz_Lx6j-85|;;(Xil23E)1`j<eRk>clq<-N~-ch3um^
z=H1T=GP8SrQ;6a|PVF=-A#5sgkvRF-4ZP#Wnlr?gM)xI3e%2!^n#I6IUUPjeFE<cj
z#B3UncHcXKNK#TvyNrO#{waQox!T4ST!Mo9WP}JN&UY-m<t1pZ`0S~>`+)Cjio&$a
zfE|L3a-(9yo*`79XF?v5D!d`n6<S%FeeV}vD~?rWU)X4m^pp5<(E8HRoA&8tJN~}+
zbxNe`RjKmF79TDS`*nU)4HI$FVs8dfLJYl*RFSlAxx7<Y++hl`$jy=R)^QvMcP63@
zCn6LqyP3jAHlFlav0sGCiapnO43&4{%2;3MaC#i7=%%2udPaQLbs|^yT45wI?~)eU
zPowbIu%dgkS1W<dqzdneX=It%VB1dmA8gE}??z5|4-AMBb*Pj>_4Tc7n$G7&StmYo
z;Wl`$4l#PpzIt%}2)kQ-RsDGo5sWB8eE5Bgv86@m^Gj;%T1$zm$z|G#wxGj0&}iP2
z;<1D0@y+yUR|c$0pr9@t&jTomfo>Ye*cwutWE`Wv1@QND_fD4hOQU<^_!5>>9cdO3
z22{?)<5I(dA0IC0!IASM=1PuqeCdNXRw6$<1up41nQ%CDGqwGbLfPmU#iQ>b`m@qF
zAfiJ^w3AR*d_#Se0<SZyltJeJaM=vN$R=wGXJa&#S5qxMqS_LMecOuSF_yoUe+VUR
zpiwl_Jx5TR13I`nI$0u<L{dt_^?IOSi!N>iHzE;U&?iTz<OXcNrdIr9b#TXYPm5tG
zSuZyW?5(HunC!#_Fs#A;_%dMQ_0Waxw-^G9V6_=BDo5R{Py0%U2}hyu^2>`)Bq~I^
zX*?9%tr1^p!9S;qMY5NKpJ9KCn{dlj99E{fRb3=xC7fKO3qRTH$D<7693D`ihoo5=
z;9nZ>C-C9~3#whVjkG2S;!{D%HH<^E*nJ#cg-XT`fIA5(kZydLs88YDovA>d+-d76
z<IA~d#a=7e;w+`91bXD3^CvtI#Eg(#5}9*}GkbZFEL4rxy_MObp1N~#kinE`1NTuZ
z>fo18JE_h4;=|mpav0k?{I+eqgOi0vy~H!C&Rf~>RGj3(bl;q`6f(^)CD}qsdXd=L
znw&k|Q5;8A3mb25gQ7;%r;%q0F|jb?sUAh1-C4<vMkng{<5b04sOTo&7%+v9UzYdW
zi8}$N3P2C|mVDt*sR}@_m&8!*=V6biL<4Nq5+9C~=`YggvlzSCce3y}QAGfgm5a0p
zQ3uXwVt(iRD#sZin2Bl78>E>VFQsF{=`w$a$6Y`}M+Mi5jYE~#ASRVa3a&l@gh5z*
z!4a_|BI5OfI~5gol5z*cI4hHrD?@+Mlog{v@B2uEPLeG%Jv1aoKFr~{=h_C=b0hwa
zTPNKDE*`1+^w*9!?0D|v{awmvQO@Q&?~##_b#D{7Ns-YStkKYba0mO2kN;Bn*6{{x
zcQiy9WaJMm9i(>Zg{=fG+w$?71o7q;?9$C8hu#|CdId<>9VqX|m0>FOVX_r7?Ult7
zmjw?TCYTf>EsZSOfai&|gJnjVQ}Y?;Qb&QDF`>1=V%2l%ob(<VRtHfmQ;dv~xGipt
zuZ2<<3SCxx-!PI0i`Plh?#^c1(I9n>^UV(0`l+K78sD_~L`q#xl;)ZVILWaFjcRGZ
zOss`kRZLmIHDS8GXI>$15DkuZ*6T#^!$;h>cA|eloK>Pjv!Q64U*&4wz&aNVY?eG5
z@BE2u85^k=U0vwA2u8!kF$vlW<TC8H9ghD~KMVlEGg3LB7l|IbeQC^d*rTp4qjp>$
z)&u4ky(k*NNs%G%B;ln=Ar+x^)`iW%H#nijVJm+oiiJ3d#5{PP2#dSH@ok}4HDLku
zu>s7dk#W)~cqn{2W4sIC+*&ouJZ*whIvI!iV2~jnb2vjoviyl&06(%GzM?KQ7g^fe
z4t?+L1o<UaPfRnk8R`o06}uD2BuKhPS|55u_q+PoFHC1}IYEZcNIdq1xu^DO-y#n|
z?vY9LJbGc8QlQ;;1SEHF$;CwoA}nVF9P)&VwVLKuQH?76<m_rH{B+8v)lS{4>V--U
zrtB*3c^DeAOc(ZR(_S>EZsShfa9hi>da91*mmE&VM!m8KB$x6|2`-9T-&M!U6P{#W
zUI{*O()0hbM&kU_e4z#XdmW$z&G{QMe|-7FC;QI{?BDB&|M8<7{}9=KKh?jB>>teh
z+p+$&y82U3XJX-G`?DAVd~BxrkMipO6Vut4>DfQ5F{~eT5GOkuAv4=YRmAj>Q^Lgg
zvDfPVsbT<p#GU;0EdSVR1z`N`jr}djUpgA+xAa)`ae@%)Q#wLMMx82{J2gi?{IIMS
z9#XJ4>0jQGp=q(kk-BYX`5J~hcv^WxR5vJ8v1#%&n4~{D^1`Dno-X!I=cM3$D%j-9
zE}gkvfcLNNj@BnWQwa=WmN)uC_pV@`EM48%JsouX8>laJ!OQcj`~~WK`4{etHm=!{
zJwcK-A-LXK*NNW3<iDQkUy#IOTJi;{QXyE`%@LzkNp*@ZZdq0t`#XBR!TMwHVec|Y
zf=3_J;VTHv-}oYLck8#|Z<>GqP4f@-l<nPf`5<+;Z9Bowc>$7f3*e9t#GFWp6xPoU
z4VzzQXEO)>LFz+w5i#|30|=!exstvKV5+Z4YjHKtO*?D}TH@_ot!$8rqtFnLFwxY!
z``Ou5gX+<Y8gi^j7|yQZzmzOr#ImEY-U-0LlF|-spCq@gR}eybgLf`>ju!Zf>n_#1
z-oj+N4EMUqT)G2JkG!RB#_0~|`%|sTk6ox3_;i%zWeIMlpBl@}hD2))-o6IAdZl;A
zT-H>QU!V;PD@PcS5Ccl8F*L>VAQT|vfT0J6-iTml`;{xh9l&g64()3j+C~p+nIgCi
z9N6tr>3qmwJ6Ry<o1Xn-)HU!rmbYc0K83wOuWUYcPy%4^!uf}~i;5cJdT}BRn4R7#
zPPZ^*uG3T|Y-~(37x4~&hh83UAT4vH&k?xd94g&wex130sQ$&iv$fgN2Km@Pn)PNx
z9Ypor0qDKr!`^<oD59IF>6Flqd-@M3>|&AW#jWVPw(#;*VK|Ne!oV85<Ky}e#``#-
zsBjxm2qXO;Q3sJ+N%h5KLqg#(!{NHw7#;Omidk#CTQK4o6B9L#F6_FQZIS|1ZIr8E
zC!$M+{vkx3Yn8!TdL}|YzW;niF7`X)o$EAWI8LSRU2-d|-M@Zrt!A0bIyzKXz2&Jk
zt-=7;$Q$At{sN)Q09Px#wExp3%G{_3mBU(DyzZTDolht<Tr`ea454*GK@jRYAA~G)
zsR(a_vJ%}5w0BT7>I{%;Fi$KS6)8}z52GfWCd?-mjG!qWSf52^3g>+#K>>l?#VKjN
zffdlPl|Z;LG>7zDkHQfdA}YK<a?T5${v=d56i<AE)~20@iE(mcbZw_C<uxMi@F0if
zmCsHInffC`siLDWHqWOf!o+s-`Lk+!7$J~W@+AtBFQ;lQo1rO`Pb(Ln4?mmU!6J<A
zdz!X3rt(4%=Ud^Y6^l0mePhX0#kUxFQu3I^{ZyQftBg}Zbl92jQ-(#Xu*ovZFy{=l
zpyww!`u$ttS5Q1$QOBHs%k6d2TEnHWU9yW?dX^oF3@6fiE8tAD=)$YnTrDvenT&EY
zK7~r{6MFdqDZbRB<iql^$;VkwoTcL3gjo1?6;_^{A&t>Hk?lmtJ>xj{CUHS#{vqB`
zSL;CFArm4Ed{d{%RBcdSbq>ssLhf3T8D=mx+$+a4j@I@n`MI(?oFi}0wE4>%P|;3?
zBku-P$N_W5w%#K>Y-$A%36(RwDRsVD$Vy@ww;=^X>vGh5EZjomXi=Gxa7Fu3gCDwO
zq_V%_Rw*Bg%(F#x?O(PdV`5YMPT{2lvtYa3Dey{}QY?C9E2VFJ2_Yg4NG90K%w??y
zvc6E&ur+BVUw`gYZV6m3yboqmR5L@?U7^zd91kcL)^J2KMT)99p7bImWf@36Hb`c+
zDynYi@>O4jG5T7?>q*xTyi~<aoAyPnurnFoM$6rGqt?H+((=mIBKfB?azL_m&%1j_
z$xXJJ@kP){H~Ts+_2b)CnN1x7J!^u|bxJbHbTnxw+K-q7JC~*#@Qu-hf$=r}!ykH`
z^bqllEn{+IT>85kMeTywH@QyZ>3hdNOggFA^UiPVpg=>Gww~NVJ!WpGF&rg(ZXP&V
z)oHto25tt*62}syE)uTz`XM32PqMX&=lLL|81o(&=v7YjL{*lxTCT>03ZiuOXTS03
zaC)W+6~qcsN+$B|*(evYME-~vgxXhJsC8G>%Tdq>Q%RFX4?{|j65vi!IdV6kHVwG<
z4e^{p6T==$D&uH(j(f9_D%C7p;*(QDiM%I91b;U=YXMa?KP;ccJ?=<~jXW*Go)vD$
zbF>21HuoO72y;m-7;Y+~U7#sJgGyt<8!4XU=0UlS<?MH3c;#8a!H;g2hwsSE%Aht6
z6{cF@!xdWjG?^jcpC0a25c5b`B&3Zb)DUKO>&)AeMN<blSfbQkL2j?LwSJDXJL;!~
zEKJ3ZUC1@*xY~Jf{Cz$?{0>HmL7D^j*-9b7VAYrcO$N4?n9BEf(h2C`aV8#`x7U5`
z5$vR2$jS@2Y3_Zf9KoG_ga3kpc2LsaRfH(#@?(;+NWiy%5?SbRXYY0*q1K9dOXf3(
zR3Cl<(zb-lsLONqg;VJssz+>9CZqVa$0=h^*-Mrk?|w2!JSbUl6zeiVd-MR9Kgs2u
z9^3NGda3ZS4FQ6*B^69BgnW_o%Qy!~%(TqjI&Mig1f2kiJW5-Cn3Xco&v{_5lfYW9
zmeCbR5ER_91xqqVothKAf(tvMX~@A)%qyykH&u7w3=qD|NJf7r<UPp{zTCK|@vVV|
zDl{%S2{cD@ZPFBnV)z@4M(Hyn77pg1%n<PVe0u4X8u626lZ3Ea!HCMVu}ZxmA_2fB
zWV61<C&C9s8FTZmc9N!v`*s6(kLG7RK|4I4?sSd<_&Td&rUH?C?i()=$9Cv1T=kRa
z(1|Ab6Tz$Q0nm)y6Po26-Xkh<;h32uwxQ^H?mxujOiM-;^Gf7_x5|WE2C3<Zt05x!
zAJE)HRcu_%g0%=`tJJug%J=3dt#{ob3o#Kk%oWdPcbb^hzL)4a2-GP`*b06P1wL*j
zI^hQ=UBw%!OBSu@uW%y;C+7+(|8g$%H4|mWW&78sc_!xD|3p&22R8kIJzCIz;Ml)-
zJphb<4QBn%H+%eXlz#`&KdA2CNc0b;`$Oml{8Q)$F#fB0{ZIV+yME*^AA`mpLhUQn
z9mtsdlRP2gw)Q{p?_0)fA+He(X>zBx>2QvSbb=3RRow)(pFwz>Nf0wZu(0=yw}v3a
z^%kDjQ*mqbR2c)!%6mhrkLG**+>8rhTakR9^`I0m)1Y3%g$m;2poHnhoWtYK%ntzE
zxw=vkicvD>+kX*$yptxQ<j_am{4jk$_XgK%y9_#A)>1Z`#y*n5cU?ZkPZEXucxt|f
z@eXS$6(x*kVyCe{ewaS^i!Us<)}{wKCcnXEegNR?tkwqres(z~v~UxEsotyBc5%Tj
zmdsVWA@U*LyKWQX4CA`uFf3Q>B^^5j3J8^y6FC^s`l(VC&0>BcH)~wah%`XGFstD%
zvAMGAM<0ucOlT^&(0R~^YQ@LC9^`x$k{!h-{wDy^XP!>Em;PMfm5Ei(8~)hvHse#m
z>Xo<0nfJ?~=tHQzf{VVx%YM%w_5AVkhqvy#Ki{j{{m)Nq?|zZLDu4KbElj;9onvW^
zs)qP4e;%=w%JOPY%1X;}SbC~0HyYBYJGlBP?CO=;9aB|P<$j4aG;A2QKP;l8q|Xq6
z68S?wHVy<e!uCcGGvBZ13(67ny4AQbfn^irVJ-BB(&MmXiACIn2)=~_dNkx|Fqd0w
zh<?^iHRqe#E>!b)K`S*XM6$buyuH__DfwagsMFxeDtmd0AkqmhU4XkdpL-GGocWwR
z^;nJ0Rpf0?LUwdYKj|}3{xuB^O=0lVqaL$_%NL+oAG3+5`TfK6QFOopL6c}Ihy`yH
zOk+53ue5>5Yzr^S5QZ*8`+<IN-N!0iDV;IbJT(EOzAKaD7<dW=Ed|N!X*#oaDE2FY
z2MlNrC3gkHUD`HBA`VXL>q--4(yWf;>~+7JKAH=X*wZv;OH-9#WW{3Dm-ytR>hW@U
znmjt4iz{2Wl59>6?+b9i5iSyD7Gc(>J`5j$v!_FHyz3zT$WjpZCu9nr#+c_ijWNb$
z61P7LAE>-pWBU)Q+@@J&!sZOO-8${`u(h!SYlIGPGTPWibMyN@<wL0^^wN3K3pTE=
zsl9xn%?NUeMKyAGMi|}O!QhQS?%ihdB@^?DoL3v7zw{v>CJ|!;T`EwFvMoy@17!-L
zTGGKze?IQ~x#CqSE@!oD{Ee|*w!*7Rwt~Q|jk^ZbRiv>8V5)a>8sEqqx+1Z5nzn=z
z)HL&MW{Io1LRn6tiuoK^s>I;sthk!lHML~P9I??AT#3cbIz&QEnwD4I5y1Ig*LVY&
z$k$FUKJdFr%z$V&?Ye81QaiiXEW(f=GLFq}MTP-m!PR@^snH;B1_eP(N)7Uz>a#5~
zU1Dp?LFJES4}k8Rg<hc2E4{MR!3vWi$~vSa<3QRsO5Z`Ce*HYhAqTz!Gu}dF0bf<n
zgK1C9JM6xc=CT-Z(=blks1yYYIh_~#Z6y!8oz8%bVIb^=)fP;=sHh~cxRsoKql?eM
zyEzKh)A_G#pBTFrHnN(6FE=Z=6D0=nk7ARr4m9|?^{74ON$5JN{b=uA0zK0j(b*z$
zCyds2L}=>8vxAmBu8Sd-nmHuePWs4~yaB}#NF1ZKA}f|eqdHln>2NLQ!d`nLm1FT8
zwBm&sHsEi;n%5nf6NSn7!<7h$YdW*x^egBWB%*RuDz%NKarx9{IlFXa?LFnSDOhb>
zCN?JrP6f$*<ta&;pS=v%w+!T3D9N0?2se-?%A{D#QOG7M1C(nOHC=!CJ6y37TPf0W
z1%tNnMcL3UKN|JWPx?;O>8^?*B?y^~j!fBfCce-15dR<=1UpZTk`j^U>jA#6Jx`7m
z1JZ%GKu590FzSNc)zvuXgnzn}^G^NP1F6_IWfm2qTaf7;AFqU$r+h6<IwF<HS*qlX
zWV`T-l!j?3(cLMbk7+VQVoe_0goCz_3IEAqtZgk_W=~~4?2s@m>?-EmfP6)+Fga`t
zhOS?jl}@>r=YoYe$(g5H+gVxzD%;|OM^;o&dXm7SbQ!DpLLXX%095Z3k}V~TA&p74
z+~6FXo%U?*Gr+3+z$2w4&G_)g<3?w7UgAJ?$#fZba?xhQ54=bEjZ5k?d6@GQfa6gB
z0XovM+Ae7Lg2WYH7FW>Nvmi(tSqk{=+xMi`fQE5NBBWIWafo(RozI|XdbpG16<P=c
zIFb~~CB6>z%y)fixL9<urm=I6s;@|KtzhGQq;~^1Lna#s1ZCvf#;a@dzL`ddmep5+
zOO(bhk8<!4(Q#7YbETM5iPGo+2#{0XS4T}Y&8>*(&4AM!)0R=ytfWiccbcsUdFAe`
z+se;jxZohHKyuF=WDD2g8iOOd2|xRT6%@{tpg)6Ed)^rNi&b;;r=n;Y+Bdd02o=RC
z3o0*a1pTJ>ktr!J&O~_c@;H*_E%m88fUMV(%6iw}0_v%|z!vTXdi=PP&~e?-FB>@s
zaBl|PY&~#&RlCJl_{|*nN-af1y_Aypp%mdXC~yuG>gyAv9F-NIobA!MYbIBWi)s*7
z06^RBBF!OnA%c#qviuN0z96_AI{QLvC8iUS9_BXFIzJ@@eWESz9adtn9*cTI;%(BN
z;5#h~M5wLE-T}UgeFZ5nZj1a=b1|cYs6Wzrr|`_r1BOP45d7oisGy=28cz7SetmiM
zYMQHE$x#sOS551^&zqAztu(9x+s(ipW;^*_VyTg~#}9S=5tKHw``>Wtude$4U}E~`
z;MpJ8^MCQtpS^P?Mi#(dQr({d-oMP~0|0;95i4uE_u+_rRlh<AIEd+E(9`b@jR)yK
zgPZO%khga6kbpkdd3od(Rzj|b=5WRxXb22cLnfPu$ruv1*Lm{-6PoG5;d?F~Ao!SC
zry=XCupv<A=S?{Vqr84<@PMm``)&Zc_&LYlkxi@<C3<T2mZBh`pl@a;@!R(VwgZJT
zhTZGrQH8I_tQ|(v5!kuW5!x`0yUJ`}O#}OM>3L_t_J<zBhnEEET}m*u$@7#I_Ia(u
zpJwe+b5WAt&9rbt*3D^)3ES_GR;0C<n{A^SzQgavahC$K;x<~^8Ty8!s!DAfIF#~e
z<J9K006(H6iqZiV%HahtRYpdNc^{K}tg9Y*unu$%U?Te^Od9ZSSL$OtOr;^5LUUt)
zT+mex)|8UIY5%B6Q0$P+uiJA#Akx%2@zvWYkq-X(?4kN-w9$*oxe?x8zZ>*Ry5J-%
z`Y7TjMNW^sqKl|_YoTp+Tp-1D)05Xd!u`rr*_3Yau{`ygi_@n8h4&5H5<YFoTT}y6
zHnj(FI(cs$EqT$Y7W0FeQmdg6i?SbkNPG8&;KJT&FQpe9g@*Hd;-%`M&L4nu7di+z
z{Yl9ed@tRT5!`LtoIT6|&W7o*G_rx4`mhu_!h`6r@_ttIrv#=a3nYB>^LIIM(ag^>
zu2zM>6Yae<k9)MElf4rCAAt1Ur%7`%qtFoU)Vg&44lLZxrrLHkDxJN^Q0h1I;@uk9
zFhlj|kCB>D)&%`4vbOikLJ_#&vQrd>nhxm244~v@R4*`wlvVfvNS2wVf@nH=!KpR7
znq`&Isb#`5ZMlIVU<o4JAeiw<_{;Q0o~fUO8hlse;=-Z!kuls`l-wof<cG)Lb$;IT
z^3i#@#qxKqPl_;e+n|?na+gYaBu$VuEE5_+!ZduLYRK1SR)&!mt2wXq%1YqC%k`pq
zJXn!FOIxX_pPqQ0kp)ID9p$(OX^NlU%bOR|WxG#6KF(mon{WDPkK<0sw6Ss%F{=he
z8y1?(?2R$Gd0u9wnmSWnFe04ypY;=--S2S>uR|8f!POG6w){c?6ku7!o7N@ZU0%+*
zIEb`Ck}<4GU95noc|+r-LCqgY##5*^W{q-M5{zMY`d7yx0k@N68{w41S^<F~hanXh
zTM~M|k##PTP(;nc_>0IX<7^d{+zVF<a~W<j<a1fsYe?m#$8~Ngt!OjA$(dN^OI2%x
z-Ox-FqCdUKjka$c%F>5ZL`v7UU0yLe3O{BMR}ObHK43l`cD5UqEi#2#1y_O$``(S8
z;mI4J5oz(Z^S6<)KgV*J8Nz7`<mVh}yi*A!pNJ}#5yFw+m0>NQS2cwA_1*ZT>=f%u
zb^~Fuj(bhzD$&>sFj?D<GHa*FT&7r)c(P8sBq2fxi&*64OZqW3&*j0zrgt8LAeWom
zAmkBH(CYIY(b*2FLVrrsFGj_$BflbLr7ci%uLM#6Cr1`P9P%v5MK4g`OW4_Xsz7Et
z>5#>6|LXLq=uCOj`!h_Y$l(4_r`5?=llkGTq4O&q25TfTJYy^S;}<DPtFYo`ELap`
zEAt-37)L8^OIz^@bNQIKV{IEt7dVMMEupXBe9rVQ%deJ(@kHv@#Taf@I&SA)1%L}X
zmTioNnYJw4IS*>XTVZ2KqK-4Ui{d*)+JxS+gzHq&mM}_lhQ{jA`<l_2Z_DQ?8pj9i
z#|OrM@#%-@XHl~*F*(i>WH$a7^juDw+?_-lDWp~NS^y=<m*%_9V_k8(8KTvtHxAAI
zs%X?MIeJgoa2;|=tW3r45d5#MWrxPO@o6Z7KfX@Dph<lPfDC3T-3s+4HO|lRdHU`L
zu1cbmC}MAE-3aX!u+A%(_6=F;94nNP{&IZpl)v50X1!QwAA~(SgwTG}W-Mf_?$E^e
zl`B&d-Rb^>U152?N1BtcGjKXS1}&$%k!z>VIc3rvt;wI*s=5@nCEY-qHtX$0Lk0f1
zMBhWDRPq`!uSoUbYKjm2`q*F~ZzQISZ9d%9QF1r7pgJ1tE!SC6TIvvWcjiq&BaYs*
zVUAOPr*?3r&}}BaDpoB@E&32*LWuE5l#yXfe9^t->!_;zsJV|gD|-}r8YfMfq|Y}T
zhth>8d5KV)_T*yvFBLkV`FY33h`{FFxO5=1qEHfVm;9ij1$+PP^8L$e^}plt{oM!l
zuWhnFZq(nz2>=_@KX;%3KD=oE*_#6V*0B0py{VBXTz1%xag=$4h+Hq=2w-=(7_As!
zdqz)tgCjkNYKG_c7*tiIrP=hgi)$G}g<|@ouzZQr#C-Kz;~Xw19|TuuNta80hE7_e
zN4pw#&9_=+Dn}`2c>)XOvwQ`ng5!uYN7T)N0QHTzqaPm|Z43PS`jGNf6s4@6Vxliw
zi?*;uXJE>5Vrxv4ka&#N4Nbis$;*^z)LMj`t~`cJ+toDQAIz`0?+CSW<jhmKRYk?1
zqM4v561*-vaN6pZG{_7wL?qBF?y^d(Iq|t65v3NlfgQhC<F`TNDUkM1wM?4Y<9p*w
z=hb{#!!oTvPvWseK@_KVi*@Wa3slbIt2WB#A4y{EC08iBPneh$j+g|8hYSr!poC4b
z*vCmytbJasg?(d#n#7;-hn`u5s`^d~65wc+Ez?}+V~s%N;6B~8Ox3U?XhsFr3~JGV
zHyF1&3>Yxz=gWB|9lG=1!hXecC&-sjE7|VJKkxQ1o!Ohj-q4`IrB>cp>S{w+prM&t
zruk&&0^M;lK+`dXKfQA3PK=PGA-2N!1q@NY17Acr4hE`0%B588ybHPo?!Y$DAyByb
zbG=O$+-9A((FP~5TL6;H1=-?6(pqz271AqL?S4lHaOVB%J7|TPamA51%H)_8)Hx(x
zgB`ecaeg8UBvC|?e#|K7B&JA--b=5Om1CU`J{*v*=F#_Kl7yZBeA@YM{zb&bC%xj-
zysQ917ROQI?xA-cu&5@iC?&FlImivW7yWF4{8|k@XV_>ye=s-}ZLOHljc$<$VmBdH
zUUMO)Qe3sPwG(8|k;i5b$PSLP(WdtU56VxEXu#f8c25DO6+ygLUuw#s&LVg+tH0r+
zMXQ?E(LFIkhT3TkZ!6nh4Zg|g2O9u=WD=P~EO=EXPh5RwrN>yQ4cbo7i<j2ogWY0?
z@$e?bMmQcJgK*BbRvEk^hqS33)0|4}V65c=cU2a6AQc)67>M)fOJX%VuK{WRPA+&2
zJF9d(($HD0pk}OZX~N&sUG5HGd!!U(PJvNstF(8&K)9VWmaR2#UotY+IP+btY_SaW
z{~WYX*$M}IAwyhmS!z>7&Avdrv8Si-eNpzHL6xHvDmefEZ(88Ygs;v3Yp9n+A{;g%
zi>;FGT{$z31IFU4XqIT&ia^=D=P<cXL1`15`vL?10w?c7jF;W&)5?$Wt2cdTX<*HT
z@C7E|7acw-jYamWzlo-*(vMP=g+j4k`G+e*S{J0>bcWrv*jnex*J}BAa@sp0=hi)=
z4Hv|#K*jKxNg?QSW4ZR$b@{M>&SsRv6H{N~g8Qg3Dj(wOTq@rDBF6aUe&$Auk<<MY
z81%9&IDGFVewrcs>OCmVmznACIn}8r2@0oz1hTMDJ;;nQpv2Qh+C3V<JmoW}<yW})
zhQ0=yswvFPiqgd|i4G!bLH0&99a)$9WsZ|?#YDv3b73{M$VhUxxm58vZaS|gJD|80
z1Ks`bOOcBAPl)(!A`B>=J7${CxI#f%>S31+FZu)Rt=KO%4Y_7@y{)140G6rRi!)Hs
z`bm~s-#C!sIu{YQz!0I!bS7S%TM_TE__-5a;lZSIj0wCiSs2aR$kv=N)S6&B`p}LL
ziAxaF^)C$RhoMU=f{PVR-8bEj@UjLrx)Ltm-P8mOW3azjF!9aNnJ^=8fj7<Fje+AO
z6<d(nb}o%sCPcL2#y{}35tFlqO%3HU%}}N1&%sy?W~498;2#!u7-_fkf(vF;GV&`b
zELBzmD4(;z;zp$-(bfA@pLmAK^N^_AtIy^aBo7k;2I(whX&tJG5v9G6$7uZ(AZum|
zz1z!g(T#}2JmS<%Sjdr=O^DHAQ=Ojyv~TAA)R#|mVPg5;W&}mR@Uc}>t;u1IuZ<7&
zMq~^s*_eWNQowW$x7>mg)+%aGc$2TIQ-uYW>@IoR*qp~iVsY!CCXi1;wC+|w9578D
z-@iCWJ_*KkvKj=!6+N89Xc@YIMC2d}YU80Vh0M3m<B{)NRL?4-s+2T(BQp;59ue^m
z3~C87e>qvm7jncw34L`46BZP9OYX}_oe~`#wK9^Q-*Z5%)W-L|JMia`n%5Fw*5c@Q
z2z@CDzD>x;8D8QAmPt2uBi}O9Dw*?+-qbu&<1J_^dHT#x`E7@QF;Vl?oM2M#M(aaO
zLM1qs_UZbXBRaU%n7}vdrRwzKQAUj~Tk<MP&5H8K5P;*8XBctCw#{7#UI3c^d|ar?
zGmuMQGHPlrVwovm)_EIJ6(pV^+j6e#MS-k~9BbB*Df1MrNw?K>T-igq*{Sj){p*y)
zfCq7+8Hx9Xr+9*T2qgw{D0@{ZcRde-Sr6GPPwa6%n&M`coNHu?y(;nbL!cu>nkg8I
zDPpJ`H_-*mFZUfeQk?+FBgD|Asyy!4CuXEjM^UX&3ZxKvN}_nbg|_e|azyRBr!8?k
z^k?A$P**n)m*cp=6b;6`^=R^&$-QqpsJX$zg1)_q^kxtI%sBLBQab?p;o6K=Be^60
zr(YSrAhLl*>;DUt0RA$${I8&r-(ln5C4t{j<990IWc+9HGyw3I*6~kkJK$q5;O|k%
z7wO+5fe**bZ<4^*Cq%zMU~XsVJ2e&ogmB)5jk_4s<&L{cm!N!7%|e13t|&_wKVk<`
z_~4J8Ni@S`6BeW>KZ572U^xG#$(D&!`*_k+U3M0uE3g!g&xJ0tnxp~|3wp(Lq$3+B
zedrPU^>e(^=<LDqjg(+s!k}l#Gsg9sbWX9|teHC$oEn-US-pdP##4ey4^!EfTCSJ3
zgv&2M`QGn5uZiw4nxUDq)J~-sL=r<xqU=dtm+osJ)iW9jkyo=2eHD&LJ*^#w-*Efm
z#A|)I;LBQE1@vNx^X3g(#rHn84&zVYeZFK|G&9dNHU>(gi_d^vt!sL#(IKc07{yyi
z5;O-XS!i7}SrdMk45PRIO%ULQfqteQGpKf0F~VAj^!pKY`6<B6y5Q5dK#F9WCIm&7
znXcMkfW3R3k60`w8&|PN40Ik*p=wzR%)ZzHBX}^mA7~j?k!*p*omhNs_sn)moqDrN
z5CAcbM<|dX0|svg&+svUrJud!f%vrw3lsR5^ces;_mqaVGL$Ko>{(U2X||*6Z5z86
z(lSxG_v$gn>(a75nxqj;wHl;zWYSej8y)xA`}|_p;`$j$2gg+c$vHpD8!A&vGnw|4
zerRVlE$sQ3OE=|mX1~RkW0w1fZqLlNM;+F{94r@>>V)TOY*mxdA`Q`SZSgM=^*0$O
z-Mk?6-}H+I1mMS`l_Lhym-v8RllX)*)MxMLf?Lw7MTqVVIn%le?RD-YykW%{r9S1*
z8~Q~nrBz=Pb@)uoicDA3GaogFiiP1y{6g0ylGh-Zv7o25>fq}o9b^4kWxD4o(<E4%
zKc@4vGd3iz)kGE6vs~LM6ZuXlgtqg58TmG~*dn7iWMg~Nog;H(<-$7oM3r&W)N|iS
zdU$y<8satyQ!^WsHIfgIgxge9*_OuY_{T67)WVJ3To9xS+S0b%V~bXHD>5ESSGGB5
zpkrXur(izue!)akQlPfQq?$eemp|)hZl2?!t6D8-NkgNLKv^<(5^i6|`?d*3m7pLX
zX-K1oRo=TBhTe)cR%x`W_zj@U)zasPT$Dym$KblLR#~;j)zN7y9eS{vlBzW3RDiyT
zN#|Uc;EQbT!Bvp(Dou5vrgckCzJF1F`Pj5-+G5-E=rKD!V8>FBS|-IjZ0Z0?zF&ut
zmi)DW`2a}OrP!AH$O!5#GXGOgrz`w$_X(BxTrG29zR>kk!hEIuYW%><AXh=g*q#~5
zQMXw2WJI+e${C~snm{Iw{+i^-yRMQF?SSDvh{(J7)YVr4tC-1KbDibgqVJjHUVO$u
zj=MMqXO5@1>c_k~iLl_^+}A?ypteTSY%wPOJg8=}^qs%RI+Fr~i<jrkRz#2~^_ozs
z%`>V~5b*Aa>&S>!FtOr9H<f2qqRzfFUhEioyQIop?WK%~uLm(u=gF;Pg!(pv4&$O?
zkvrwh5PSIwAl}G?82^}pEnn(ppmLTaNU-89XS*DC9(avesu3Fu46|2IEf!{qm;X%I
zMjCWT)j~G96#CewIt6Fn@zh?ho<dM>&93XLD1gmc_l4-I6pl2=0yROdpVXp00$9F>
zJJ=gK7$~wEAt#Fy4qptY#SZS8RsolGIz^m7uxFzz5EhO0cTKrH2nB&v_s~gM+UfUd
z0dC>SRt0&HX*wjq)i#T6TZ<*;%=!#}m{uN@!oGyF)fQZFh?8y7im;*xdmpR=Bd+6r
zyxOF9M?_=^Y;MKz#}wtsQ3!2(3FX|DQW55Fh(dQtfjAU76hg=O87x7FtvpfWLdQW+
zL{?AoMaN#@TDqCfib5gS37Ed$`Jxb+MkOb<812oX$pUhDF3By86!IC+pWm-^jA8^6
zCY2l-?ShBDKf#p>8!5={5HSrKxt$|t1tKynj&8@4zRY+k6#T&ILaWb4hGr@z2Q@u2
zS%)R5AGpWFAms@2?J4}UtEjW_b@a7P2vuZ7<!7h9L7+_%+A5a)LZJJ{$56D~1sm3F
z_J;e^Nv+8qXl;DzxzJH3YuzZrK-z}9HxZUCLn+Qw^j03T!hL(~5o3M^qsX{9rUQD1
zQ4RB)@I5mrX7xl9v1*~k8C#b<mAiiE%!IhXYN6zznSSUEMw<PE_^6|{!C;3vp{U*2
z&jdUXhJhLIvqL8<uZ9{qhMnY&)XWLLdRBeDU*jtMx10G-KkomInZ-XY-2dxl{?oSb
zF-iBASP%G12>F+r`FFM9Z%mzik&gb|%%FaZ5P;PwN%*<@VHM1srd0qzP~LhDKMv%g
zz^6;t{s~d^xyGq!tsIFX&di)6I+`SI%k|gt71Y&M+t+Fx8Gf&ow;I2brHLQrw?8R6
zGC5@Avrnz1KJ9IH%qhwD0`fW#)aT}sPxc^yrk?;$H9+gYkdg$hPj>DvjY#{j${@CJ
zQt)6q!b<!yqcQ|>l$|88ZG`Ys(T=c7JfZwN)}6v1o~0Q|;F020QcmU^xGTifpR|ju
zBU2Fv+vH>A>N&}|Sp54_eF5;$bRP3Sa7WPybKE1sDBqQ;<%f!SvZND8z5xfL87Jyd
zTP%Wi)2T3x!{D?VGu*o`#e+I1>Pj&kD3&AU@zn+Pa7RB0CIbZpK$u<^zQ?W_RG(-n
z;+)d);>&V4Lm~+=_aUL9Yqy?fi?>92RRjX;iB}+GIEWhhQGS3eHHLERYE4)LNm34q
zPHQiPSSmf+c}E<U`ki7MgT8iO<?skqLl)Xzy9r7R{z@pfR$`N&2ncrV;HMVAaVu)+
zMIs}58s5(mnMM=@rjIDz?8&gB>-|XcG4*%4Zt)UzZB_%G>=fi}2qx^UJnJ*uj=0&B
zU_JK-LhA958QKmco>FWh?N0Po(&DIkh{Xlbj*`PftR`zIjHQ7J@Bk^we#9WLI`LfC
z6hlay6cv+BYLR{SJ@fn&|1ds$m5Dw;0x@g<%6Ofk9VR!go|OCwYZkFG8_&>4O136p
zUd%I8qCM>bQER*gYvj&GsA8o&8CgPmrgzNIEs>N6;T8%QAlZX-c1Rz6jx_+0)phm_
zM)WtlEMRmFOJ1cIS7IJt@)9Z6qZbK)Q6HS{jCzO&#Qha07d_EnT`Mw(uku>Qz!2I8
zRy<5n9O{0zoutrS5o@972)}`)eJdkmk2}Ja3C1KU*6-pne=gv%U*saG83D=*^(xBp
zH42ExQ12&wi?Rs<>Xt>Ec^ijQ3(=4Oe%dP}85V0D0HK3obga<LoH;Tc$YhRmPrDg5
zn?dr|REnXKS*ht$=+V>p5#`S9-P&E>p^MD<mKER65Ltf1J>7Jd4A6!tF9Kcr1~Q*9
zFSIk9XW@~u=%!gi6iwiJOEaTa)rK5C9>h&=JQK_l?i<x>9cS2#Ge|BpVG3jVrHL;G
z{R0L`BMvqz$l%WAsF2JV98flDdvIivhZ@&G<dlaZ?Xo8YV(+PlPgTGlX@wYE+IV&u
z$nt6jtfCny1F)P~aluiHhhtxV#UE!8Oo61RBHxprxYDhj(F{7%lwMRe#tX0E=+78>
zblB+AI99w4MCy~Tu8W4+rohwB<qAq}c?E=l%*baUQOEhI0#mn>LWIM#H>aTxR}|f#
z+N7ZCU{e-Ku=46{;s*R=E!LCT=}y4^PA0eBcT+>3JX-%{me>xD8PFi{1&_)}p5B(R
zrJp@IZ=t(06|Buh%P`hN2bbkh<hB%9R&$|(0?iuB<wusvrk+x$7B^8zfN^AzXlupC
zeut8cL$J3Jk=tE?R*E$BM6>=-QbRgrCC?4XAWhc`QtPy(F)e`retw7v);4{33sBu`
z|C@et+m6WO#RNkgT=6>GKGU97Kra_X6p{(JZ!2qWlH~B4u98A~m`4j-$f>vdlrI!f
zYAs|t7{SD?7Qpt$O}#1Z8iF|tkK722CUDV8h8FXCm>Tp+3L3T_A6UEnq{0ZlPb!}(
zh^ilfSw1YY-`&FIy`#ap**MNL^$CTSb$n{~4a>=x*89#!Ck&4xpM9xWmL}B&6W)w%
zUVV6C-8*d^7ZP@yj3W7F+_pKt#Z_htO70@qQU36ngxMm*<y&1u(N)mSkO$0z#i+y6
zS7)*5qm<^!Ufr)!Hr%@c3n4zE<wD#Yr4g-&9KO{)B>mODET5*OUxHN&9c@k`l!+=$
zhWG9}%{Wn|Tj4ooP^=WHvP<$hLhC`NP~D+D$qwB|X~NvCk``#@F&^P|=Hf+CX{{wY
zg7|13A4oqU#_G?j2iqkGFGlRzz16?D``L&xKm-<kax8a7SrG2;c6KywUt?9UC>GtE
zt#aNRqlARiML~p-#S%j~7>6#xm6J2eK!US%Tjq3^-_2KLb%-#p0yP=miqPg8@Q$X2
zm?V1r;>%Q&<}`U>%__vt_sHtlejpE}5*`K(>pwppSVQP0iyIv|N-;bk*n8}duP9Rl
zmXG675U<_`%5Z2QY^`n_e<jCrWSa^xgnOkewS;*1y%;3f(94*ahxv75kpM9a`cY0I
zWc9$}8}B?eSiFM5)3Zs)RJ}D~lhI7FqG}c}Jblp@x@e70^D%tE8U_pu{^bVBE~>S%
z+3z<FuZ5TAQI%%jjToqxh6@N3vkP_2r^Z!KQx4L#v7>J*ws{q$4ewH+{3NE}bWc67
zEd<cNAS_RdDIE8drFps)WXdft4O^Z&a$KKo2D8_qU~`YbaN^mTH9c~K_lKq&E)6WT
z4bU9xR&ygfX2ejbXVv;BqJJC1C68=T4{FaGjai5hhPv<I*tevH?`c?P+}2&-JI=If
z5p^3L6F!hDYA@{=?+j|G5Wp|^_`#UoQ?#~>bv$is`vU+6c|aBQKn4|@Vl#*Hi;nFB
zy2Gffw6G4o#P5G-k<eqri6$M-Ls{=FT(KcM)zuwusuZ~%&%<>$^Q;FX4AFTXpFfrq
zlXe~NGH|_uy|`nACIwwz30u)&@Ynn*3MAEZAnyR$F(eATr3Hj1qsE)z4a1?@7;O}x
zn)@)l39%<zg9avO|6E<pT_S}S;maGmi56`Vkyi{AMg{3V`Pv#>DzEZu30I+cPe$vc
zf=T*1>#k1vT4`#)p%gY$l+n*}W8qSK!@Y-gh|*pE#bys7moqfS!7jsvpv8ZE!Ff3l
z7>k@+aC5qLInXO<4px2KP@rYboruep@9ZP{xf|QhHSyR3V9HCv#!^!+eq;Vq)t!o5
zGb}y{3bue*u6|c)B%~y!O@!s$DX0sWEx3i^zv14W#)khbxc47ZQ~<!AE(|6nmVd@4
zd_*bym-f)ddfvY$#AuB~?Xw|w9H}2eq>=k`Pg4>$F)=pvpfW=AQF!q1IpS0^{PYr!
zK_VstG@aV7F>g>p#-*q*CSgQdzPB>R4|cgYhGP{H@cr=KI63KR>l^!#ZkoPlba!{7
zTz1&5CU%t3evd+m<~e!C*5R4a=~312;0o5ByGU*hm&EXX_kMR1EvEoI3anN;`GI@l
zi~O?mGM8nP4tlW=$iY)no<%Oo1KGOHzeHdxXa*>!7mC%4BB50Zuf>eJCKd~+7$R7?
zWIwVSixV}N9g@z>g&-71kXQx!CQi)VP2teYRip^cIw+&3&<}vHzIJ{u|8x*$;srD-
zR`8uk<VLN1>8vcN9Nwkjpxhp703>1+6=sB+qJ5eSTi9S&qmYK*P6LXqi<@4!!+Ox;
z`ztgNkPeuCb;$9o_3NPu?&kR!9c`>X_Q82XDDXsnc19pnhB|gfzW&Pv|D5~;nB37w
zN+1HFAho419m99YWNDhnnuGHCyj7^h2DkweUF$+_p1OqQSOdTivLx`FG!=e-714Z^
z{*-ZQo*<pIlf9URfH~D&FSL%flb7PrSK+VAkPnbK0t>TvSx{<VQtE~`gUmU^LG}TN
zN?Cpj!x>L++$B%G6nV<AyGRCKTyH)XU>LUCw=^tg4Y(3!WV6r4t5fCVveEPCWv?`3
zS=(F5>&@q>SXw@x>sVN40%Jdm>Obhi)y?bHRc4(`Rpndr`eEh3io(2sKs<~?qoWVd
zsLz1G^tN_m;5hZHU}_pmM>Mr4)lZ_Cka=e|-bu(NfBvz;^`IPj8+&S%-p69M9tfLm
zND=FR9hREVJG}w!FrX~rRNpbISV;0hlJL_s_LR*f>}=^7$$<=P)W;V8evddAl<ZvC
z9se0XjE6i>AZwDeNGlx^ac<X02Il|Xnv)<MW7~o_1J~~WpuGvUqFkYRCUN^kDIc;J
z#Qf!EYN2duZY8+!p^$C<=W6WK!`+&gS9gTHNV#H@oO!{n1e~C#TO*!od3>rjcb#UZ
z5~!0q*<_h1MoKY<S<-$+*-M%%aV<>@u(Rqm_fn1u^&$RgfpuNMu-w~^RMwPlJ+|8Z
zGTTr+J#@n+CN`5_>6Uka6A+OhEtuPi9Og1s^C&C18z(azJTfKKR-sfU>FQ$ah>gSK
zA7R0PR!9}8T~nZ>O7+S5`99lT_vndVlE8_$jbEr4B0_2a52mSP=a4&Rs=4%eYs{s)
zltzp>G79^BEgeKWq=YjgG<Vw;>zdfRT)(o)S%~i;hbuCpHEuMd8Xm6V@RI16e50<W
zC8>2v@>7(kXUUT4iw+l@^*26rn$50}`ZTNLTyC5OOmxrIM|Mh{NwtC+OlPrnPe_~D
zE_j-JiJZK)YT-t4i}}FCS_{Zw_X1O$RG`a8OY@j+3vzcnc<b%)#S>@Yh#o-<8eMy*
z)x*K>6_H!^413N!2|8jCJuox{M@cfNrJ;`-_w??SD;y7-UH)1kdr8LQVPo7is%>G+
zqBE$klbJXfN^S;ZvgpRuD<ugFBh~Dn!CqA0?`3oOjqQ0587HgNH5k1~$@v)fZoMHj
zrN?@r7{6rTZGJ%eYWFk5+KJutMz#DDo==U3QT(==5HRk%Lm9vP(L<R4v-W0h4vl%Z
z4AcsozXMt@i|~*n2G_`ObA+kp04Zw+ALpWWXX54ZrQG)=!NyCeA7SaFLBrLuJ~Jil
z1ov?`MyPriQ1zy9(PL_hv1pNInfYeqR(EDBvP!^=X~W@t)9Yb{tn=5~R*S6EJ0I(Z
zGmk#(64x)C;a3I6kFhJd0?)pUiz{AzW5fsbqqlKGw@e~U8F_C;cyh=}+P?1MV2)np
zHqXA9=|#B@0qSmpRs5(}1cli}K9}A-^!IBUE?b5((Vw4Qe`M+lzPtRQh9RsF@h-?o
z37N=z%h?alew>v?(#%<#YK_liD6Lo<`n2;tHIK5iwX9zE*bjJ76Lv2kW@W0ntx#jV
zFw(07F*g#lo@(B$`4q5|i=Fb7Y}Y-?(N(qI2_xy_v%XEiz<VO$QyI~fYd<>|FRlY_
zpPYnM`z~x$DsvQu71d@>#O^!QPDkdf?;N73qFqwd<#ZQ+%w|V%XN%e-{sqmcZ20@D
zF^oq}a@v+keyq8Ac#G{Y<fHjakJ103?wr0W(bK0Nr(@f;Z9D0XZM$Qe9orq7JGO1x
zw$1K0=gge<%>33|%<cRExyW97t#9pmsy?;B3jpbBMG>h`59Y%+D3t5ool6`u6rckY
zYI^224Vj8cWR!uk>i4q8e4VRi#${4zUT&41+0HwoW<VGiZ^of2h!-S!@iIwbh*go!
zCYjqd%E(x7A7Jx&InQ~KX7ptU$kjOcMO;b<gcbx4Nn(goHtvA}c@i4pZip*oklaEw
zN!x~=@$w<`CQI)^oAK+AWd<6>dHzj~MbA_j*Qzw5y9Gjg_<&nKe-6i0g7VG@Inph@
z_%W1Vd6+sCoew^gDptLTX+ZP&%K{z3&%-LnMvC$sATRG;S1zTjb)vx_)E1lg^rby^
zRRL)ef_0W*u(3q1kxywun4y?%9Rv`;VnVNxbS#)z$SYs6hZj1k%}%X|-fz1<HG~xo
zQp+?k6yo=^F`>IixJDm1ua%8ek}$Dk&Ed&CD1P|^-PVR<jDLRN;xMlJ+m@|qUE$Z=
z4r8vlg-qY}TC$51H|_n6D2b*52?F2OWY(0iB4h%MbdJi_jroVe282;dZqk!J`KC~I
zz!M#X@tN`Fmo$!ITWiTV3j^sp>$_!*S#zl6hKZA7wCu)!nu5#zQ9e(HjE!0$%tjuQ
zB=+^N#rMV|BBWdVg#i6Ef5J7Pu#CDJaYgQe1UmT<&;{TN<y5_GPh8N~`BF@g=$f?v
zIkgy&l36(`j1YpUXU_FOzX@v8U-!QPh?79K?Zk+(6YG*gP!98i9VkoAHv={=Q)P^&
z5QxRT+Wvs$Us6HYRmqjrKw|N8L<mI|a5neq#qGLNmcSV885)y6otS~m!=W_09`HRZ
z!O*B9453#_j$c$Z0d+y}YW6Hx%E&$ku9n1x(vnTVvroWjI!b5T<(XwS;JN31BIwXN
z$Oew~@b6#I+AU=%XX1pk+uBJV*nF+Q0`0V_9E%{f*W;NU`1RZo>cAa3(K36n2Y^5M
z4UCh7Gx8tQBlG`67wYe1@1LUZ-_625CE=gVCl=<vn@`MtyP$uYh0K3~wf+mU@Lv#B
zjAK}x{@vaD=O7*6Y||pKN^A9@&4LamTUW4Li6to)&Wku4x|p@3(&<M-J4U8m);V+c
zt^>uf)o&j@cP9C5UF>ab6W^N1gW;WApDf%axGM#VQ8VrF#1C|&y_PmMTnRQUD)I2L
zqI1|pD`$pt0Rk?rU93TQYUn3qMiazDufxq}ldqRLMBqF`Ek+Jb-ZW;Np~AloZSS&J
zDYa`AOCl6S5`YgrR~W+9Iv-aD>7x?C@!E2PYsU*yU~NzBH{$%8O}-(=?%Fk9R>9gO
zkmufa{;a!pviSjD3&KIutEtQ`v&c<2DSAt7pl=mi{7JeUG5<}fyGWVwgLW5rs*FhM
zNDwkjG(pBM3S90@XtlQPU{m^!5r#~@Y>F>JPNSeb#IaIG?>pV-HuqL+<5_)SM@eT@
z&w92KYF_IY_r8~ixEye5PWx7`kB&vxEpKgaHg^as=SLHvG4uD3Y`@xCK#1mjo~)A1
z%uBx!!5J%w_{QCy9??ClJLxGW47KKFstzoEt}OJg4Z()o%33dI0kFjd1|`3V8k564
z?y^p&!rP&v<`{Zu!4DF;^4>>qN?e!oFLeMu>b$COhMpn4E<Ha<x7kpES8xG)-uwwC
z8oI@li{M(J!28X;od{zJiD?7iF}@Lj1XqhCD%BzV=%-FG7avGE?PLqJII9Ci7ZDzV
zH640O)nu)MK99tZM~8G_z7YyL7K*HbX|-1~hHNfCO7)n9fhP5W1SBAEWA3oxwD~#F
z2%@1ZMgvdEAE^H<JwemvBss(QF}a@_yoHTNfuZup%PKzd3TePGk|S$*LNR@3?cXP&
zOfHoWAJvsdRZ~z3m{_rQg!)9+u3u+vR)wHrsD$4jYi^pGkI<OG({;j%y9eWqj;1$>
zGD>>JnjuWsOhy;VG`oB66oH5df||132Ng_j$KZJsfJ2bu!mq9=<v?T+qz%SrGBUFT
zWn-kB7EmPKjlQ;tX4Q#Upt|et15g634Tnr(U%+KEv5oJhKXLE=QYnS#^`5SK9l1=@
zVa(jY{x@b5PG>l$Ias5DBcN0a`wl!;ixg>12-OSJ8h+bh6f=zlm?(ae*q2D*q93nj
zPo)=B7DD7WNe7h{D6f?kU@MmpE1R3ip5)otEwieP^aH3qZZU1xuREFR_~GzeFop#@
z>G5I1N6N><T{LUEqy@b{2C-WGM602HUc~lCXIdivgpT`Z$@uWqp;p5e^K+Sciv1!}
z#T`1Ij~1Dgas)-g+|1d?9u0rAZqtk7ATxb`Bn+S30Gk=-9QP5H){R`OP-(a{bd#lt
znb-k{WiANxWt|AJqxs#QErc}NI<aC*&feK&q^kbt$rdmI!G(ir0^v%t20JlsBiTf#
z$U*uG-#)G@`CRJIou*ns!{s$3!X4XpWCs&i?|X7-QIhoHRS~T#OV`D<YO;+b%#LcQ
znTA$0T5mtFV>+O?nmn6eS8UIsU^9G#qIM}Zt4tg@iMdpy&UQ<>VtJJ3t%$%TWdbCA
z+6r!iC(rxIMaX)CQ#@v2Oscm76F$VOLn)h3i$RUHqjA_?&dTp=yva(<+aR0xW;9%)
zCGof0%9l*b(vY!ulxc@XMzSn<)|d3tgL6cZ)G~4N$T+koxZ1&EZ$yg9l5Ly?C!|kj
zZh;X^Z6Q~SZ=WtD@(tBk;E-@f;SGQOQ6yK*qXPeF>SMbV7p@!*T-k%eH4tjlar>Gx
zGA>knzw}vU{lJeYDsD4bL2>T6eRveD{Fat!$dbWELJVaxUcmIb63-CkbwcbV>o;R5
zFvhXl^diqo$bDmF<?1t`-tZvW%v5?`ij`qm8o11oi(L{6oc@Q*I)a~vx@3IB5w`k2
z?5zA&!{RFNUC6~6u$SL@a>AEM58ljKqI@3Oy!+bH^TFMcgoy3*@OH$qLI6-P<H{9}
zcX4>2l#r}nDd0e_@zW6XU%o2+2xott$>~g~DiRCa10J&h38r$hL1BoQXYmMje++a>
z%!(t|O}M!h^*9xu@)4vznmdt$RW54~k~p5&(zqmp+JiaOY4d~|My4T{%~r)pfJM#$
zxngLb1Qenl9GuCk>Qs5E=}9Y0YK7m{notgQ=k@uPz%4W-jJc0cC*Fx1#Fx3x;LYSm
z$oIN2$7SO$ibQ~#>>z7w>KnWJ+>Ep^IYND!Vg0;{ZieRe=NpA37j%P(396Yt2_#bl
z@5(@;4ou?c>Na0xa!wk&2@%QUnLf73>{7TB%?3)1EafL-@@0@lpJ;`-JVwYs@i_XN
z{5y4n4CUm*=I$ZhOC#hfSfG&$j%ARfWk(suH<YLqDvr(}u=?2@`Dt+y-!oR)Q!c{w
z*~b-S*>i+{g;~N{B;qCTT9A{tkESn-3Pe8C9_T0$hOHg#=PQuMI;Gl)^M?f)eBEqj
za*y4O)jm=@GuVGYUNcTIO797#TGLJk6&A13=u7t2^C3yw07w7IlYSLz%D5+AddRwZ
z!|sSWbPI^-uxFWders7o-l+0eBqB=YjhIFrnT`b^{e@|DqkwI^Fn5bjY>FIgk^s_E
zNw$;{Ip6wOx-7s82Fm%GGW~6#;qGS%NjpwTMC`U!g-A0+qCA1~rTH7Jq!{N@$a$a<
zC$3GldvGubEhMw|z5QY^`uQGI3RPV_i{n?|XL*3IZz3NbSm6lWwn1c*H&Hek`e&k!
zQCkgkpLK2GC$Bhk9Qg~XxRjTY3?=DS3gB}{Vb9ue!te=GyFZuW2abb5J$W?ibSpz$
zpiY7;V1IRG_-(?MtrXYiKgq1WF+BehX{kTe)BllKf90Z>KZDzU{EL4kr<nhCAOA&W
z{b}+27c%Q}@anIdEbTu@ppF0F3kCdKCFlDGVCb`8E-7`-l3`P8g&9O9ozBsP#m^7W
zk9}^-7a&-;9x7fqO2Xx@xcn?nT{z!^4)5G}d;dFK$ky$hwcVSfuzneroq-IDD(R4X
z=_+JM4_mkgD*u}74+^NyKj1<MQayYL?Gz4f9Y?;cp|U<t&97)|!`ktR(x!!$DW4S3
zZ@UB!-dGKAB0ni%m|=CF&3}whVx3ECA(#`Mx(h<d+b>sz^1#iLDNw$|{!X}dtBi{#
z26urBVv|lK{S4+-BaVcX@M?@@TRmV=&~0e6N1~GxYZQ9$MuZq=(y_CKiKYNy!KDA9
zdm=Nt>)7G{L<_yU-U~$h2>~_OnJJL@RZWH-<x?3l;z;eu^+&T<&cnD~xFhllDwogm
z?b3B;diO9VkgT;I5@{aTE-%~!o>g1`0*;0MXAp4@wIV!YBz@L(aH?L^B0n~S6KuhO
zl1_oll3z*MWof0oAB+9D%fR#2E{8vylZC(;^Mlg|)Lv=&fIKa~@~5J)&5Q3P87tM7
z%2-1?Iw2Hv22EHliN`M}GK1o#?n&U8=+QYqgu0eO;k@ChwW>26>M>P3==b7ow<&j>
zV{$Cu13pZZWEk@SX#N2TZ+5+2GcdSe&#2^HQlPsDK*#<)!xOA?UOL9q?4gGr#4P*2
z<|$Slm+w1oL~3#-m-BVRIYiLcrt3@+#|Zt}0q2+$j!2${iLsJPt>Lk&eC0OFs66Nq
zqLEm{@hN6Yg9lHjZL%ntI_P?}(w0-e`OC`DzhCf1b)+`l)(fgyNmu=^=mH1G^=R5y
z;fVdd-tY{h_IF~f)QX}PX9S3p^;;X?v6^BJIZZ{hrUObiHpdF3Td(cYCaD?_En$nF
zUj$ErI0&PcVaHnAb#?nvf}o|fqA>iXP526Js^s5cYkEk?4A14{R>c@5`CFHbqRrH|
z)X$(Mv{U4<`F~E!JlNZ2Dki?fI>6C7!ikQ{qL0y(4M2;)i(+x_N&5qpQ@RHI8lvuF
zw_Y?Z=8z2`?Zu~8(Y}<rDt(7&;q2lv!VJ6~B^20egDtdm7!b;<TTY0i#HmWr7E5KV
z_ZDllgsO6ZRl_GEIFmK25O(UzW|1mWWS7l{wV4}+NrGe~CCe1{(R)Ktu&D0Td`2gL
z*<*W^R<&9|A<DgVjjym49`N2W&sz#~K#@>9L~vXI#HW>g*0&oQ4zZZaDciy09mg%9
zIPp9;e2iL3dr4YU+Q%24Gl^QF<}p@VVe3)z)kduItMRckrZGk$w}3}z_t+XQhc}=P
znAnKyryI;OKonWl(|0mM>i2R>i>>43FJiOc0NSEx?bvc#=mno+a{8DumBcHTh_5RA
zQS@&s)xTA_8>gSTw;aReqO}giVU5P6Szz7t`|sDW(Zm(BR4qfsa}Bf*uQ5mQBYz_m
zKSd!^<O9soKV6)01f}p3jaasf#2517wRjBsNT8(jfLmu4S=O&)BvZzojj}xlT%LAh
zq+B8e-L<@)3<iCT-%2}gFAJUME<m7VSSJz)&nXnT#v<cMI2;s{@nWo(qvv)_-G$U;
zpLH>H4_fl!EwgKL2$YIyF3=jCqV#-aS^4385xM}sgm_=wA0F{sKEg8ppgTY{Y<(n?
z?>7|l4j8(U;^4gMj6w>0FD<5@7hW8y&Ba3qr#l<M+r2Q-gd3S!R?UA1H`u2VcOWNb
z!dl8SEw}anYEVZCtnIGb5$Zc=b=VNY2fzF=bZ~6pnlxmxhwj?HXS=WX;bVgMzC~o$
zGK9gbbM8pC6v$y>nk(!7{tJZoMXN2Vt81{MIJEu~@Kt7=#=Tko_$y#%Bi?dl!Kcyu
zEl=Cd`U=5n8JVx&=f<$C^;9d;TSt`hTR6Gw;kmnt;=~;EU^qG_O`$s0XS~}B$1r_n
zrh=i;Cdg>`dOdDeyv!D#2|ypxsZnu1mW@i!4FLUQw)Uy#;(?)_1vwsuPy!GY6g#2X
zm!GG{RcBH6FdKP2r`Nj=-as(Yi>=`U!(EAYy^bNM0SL;Yr)AP@VeRPKXWDx1mrw8K
z=16zv{!XCjSJ39HmE%F}pi)|H9-f#^dBqd)DRA8Dph;4jWMxg?keKcG$mPg9g=H<j
z=tWBvPE(y_eL%4rP1X&~fH~^#R!~G&ry;!|9dZLd%p)~|kv-)LDoR<Vf1{N}R@eDR
zV?f2p2N%W2*UmZ%h-Vl}2H98Hp6?o?xhz!&*z<5b8CxR`aw5mW3u@5(hz)X_6u>$P
zV&@nC(a^5s4#k{V#^u94<i;Q?$dwrtA-5}~<%1ny=X5Ib+M4Tqtqx9r!sWCWihc1^
z{*wXy2q{h{vX{rp^x@cVPXfO)y>K8__`)z1|DDq~V{eFXeB53YQpgWt=F}xW-xW3w
z7fAy@lo8}s9K#8Un%^ZMTFCmq4Tv~XDwlHQ$RdAL4HTCP$N(=|@M@-N0n&`X@7UYx
z<Lk>XvD?qFBBz}<T6)e~`Do62_SI1z!fX4s8%;-|anFd_dmRs_Tx;zlyjjz!8r)D!
z6U%+x+9lS@NP3brtDTOBO)bYx2J)hIftoavKr;EZ3)7CQjfz0}l>GAVYZ?p|JY!OG
z&d(9)bsOm6S%v~<FCw3KlzW|tw#oHrhtV$>dhB`Ys{U2LpMBW2EWQF;7-50gfN4XP
zNT1)pQVXHE|4B9d6$ASpIc@$ahW?Lg`YW@>%*g(C#+>DE*X?iB#PUzvzPN?8lZnHp
zda^cfG7&W~`fhAO_{p4fbaF5;uz_~_dGU$m*<*+8Jo?1)<cH4-RDWSill_dCJNe<G
zds?<#7!-A176SAXlWhj#5;!M}XZzLNY-re};_l7j^q9BM2~j^hw=-iXeLS_iv?y<m
z3?FKr4f69ba{9-XelZ&*fuVi!)1hH!S1?~>+uOsYvJ(}P*(Ea6paT?3?uwH2`p3Qn
z=WG`UwMydXpowx=w4n}$eT$-0H;JP`ml(=uKXNqh7wDq(DZ*maoGp-NOE?W>l^ik(
zcj0~P$gn}Qx2nwvxSo~h)8ro8ZrMow%$SpWGX|E!U6i@W@ef7C`h=2uGiOD!jR<9R
z-~Fh8D3nT00{+57&V@DekBqtb>?mI0n7IXUm{`S$wb}5d#+*340xGh;nGjRwq!HEf
z%lbZ3t(L?p&n5yh*o-t}B6^l~YdL}XV^OLeS05@DuBfi&P51A@8K?d=t%MH%NYAaj
zuc#Jxk*8ilklIbkv-1td%lXj25d-Tz58SUhH$U2v_Nx@*ZvwME&@~u1FfS@2`AsRa
zbJJQZ4evG7#zP8qD!z_lZZAv}B6k{(Dn}iQOsBELY>aV9s4W;Fg8AUv@RWiXdodG(
zT*C<Xt(I9N%`>Ux^oy4TspZ6sw%^8eiVI`j!z`|6q!{@QdDt^iorRfp<le9a2hpNC
z0Qr<OFiAgtrvMT7R47P&XHCm2oa0J9LczaLR4%O|nBu2nQ0BoNySu?k79N_v(jMN{
z)=s(sghLN$D3FfId#BKe=K^7xMkJ5oOrjq%2I$fLq=-ag>dN=Jv)vT~f91WrGc!PN
z(dJChrdWVuIlXi^*KrKfhfHK`jQ`3_Co7xrH9dtg@oV~$P<{W*nZojn|9sjSL>4bd
z2Qoz9?LDprXz|``qlsC6q42duvoSOMi>bivFH5_l-O~DC-fA=e3&l!z%mb-o(ob&J
z_zU5LHvwR!H`~1(WwoTMnhUl?7Z+-z$b0`Wdg>}jG}8L-U$@%nUTj8t=QuGsm;l|c
z=PJyfVpoz32VmSQgDQR(NHns0<@*D00E*%&2XbIiRyX6svagx;P)vQp1$eb-+ns8(
z^S-#7Yp}FtZ=Y!yglKJ%ifvCivsI*K%4tl8Csb^7vjy4r3B}SZs+^|<HPj1T*6ush
zOs09OyfdJ)ijqA;KFFbtl{3YlNNBmMx%9-xbi8RF$qbRxTdq@D$(O$=d6+FlB$=vv
zI4-(T?Iqx=XrfX@$Ep*4Fm>T5mOOR3E=mDWawTuTXP4tnpH8$W<<)w!SSbzrnnym;
zBd8KJ$`|mp#Ht8TyKU^LJ61Zxe=23c(S#dQ>^0TOx#+%ebnDL3ILa)WivjJfl`v}5
z(w8uqeXBmcl*EqaQp7J6-+&ssD$$44Q>`Z6b1w}sX>c}C?`GZNm{hz1FbD}ok>2ZD
zCu&KCA9-_?5EtR+kmN5Dy6v1mQkI8%mP?{~nj=V44SX*A5tc1zjTz9f5i?dix(?*N
z#BF3573YR^oQ#nlD=Z@s!znU~Ck)+a1GiSeF&F>L#jtdCZv>GNK`{YKzXVRNjUW&m
z7!Hh;nIUulFLY3WJ9&U&0g+w~k`9Fm&z<<CDT<3F*b$jjF84cqmN<*|UEKYIMrnrq
zs(3l!jOJxcsN)?wc0+ymA!^YLyJjG(wI3W_N`WIJuS!ft%)V_s+$;~WQG-DLhSQt(
zx||$glfvwikec%*#2Ubl`MVLqEju@me@vkk68Rl_Lx#%P?u70ngr_vvdu&~9=+fKg
zK%^b}@+$#kyDa9BL;Sg%f_bCYX#Q!ZjE6-uIRSy)C454DK9SyRo7m8#=g=&RxQ2(R
zYZp4>91DlcRAh*@b8gm2npU0}Z2D*1y$mdE4gV;|j6R#%(P*#i^asfamQh6zBTMJg
z7b=Q5mXvSlSlU%E+K+QAgBl~50a(hH2+EVvQ`-D-ra3LtIcb7ZsrrR?9FtH}@8eRb
ztijnWUicGW6L^TMs&{JX$5}a36I1GY#!gHgse@DMR>s$oEWObz-1lwi{p`G^8M~hL
zEbKX=<T?Q{q0MRckeu-LENuQm?^UM60(*&Z$qrBzeIxI(7l%+?<tt+|qFAtNK<X-v
zF}M@(Z@b+n%s?Gvz5QEkc+YrnzhB~ffs+mum;Te!`&T6Af8^=?^F{slr}xkI^q-}3
z#{X|vu>9@B{L9n(-vW_8L*)DH@Sh9a*94fAlBZB$aLNLf{vC9)g789L-Ouq&(Ix5M
zo>CI2v>Ff6FQr`zT|YyQDyl19CnREFKYx8dK#cwNj*m&Te|{O8xZ-emUYgjLo7jp@
z+yioPd$sWycem<3{K@+QoB+jd)`FAO2`k`ZR{7us-kH}BTOl?(w)u;d_amPuF~EKp
zAugYu$S3UmV!QWxLlXKjaX&M5?@Hn$(Gzn-fPdpXfeo_-wQxFGdO`$@d^q(00qf0Z
zmL1MLmv)&|6r~P@KEe1}9kAvPM@sTU3rqu#(9}l(f>leK*g+r=as4@A0v`?%!_&*n
zS|z#oRdDqOs_Y=;V)#_UYdFfvHLY%R<d`ga%}|{s<)Zs`gq)$fv|uFo#B*SD(#WD`
zu@NnY$uHR37U3^>9Ke|9adNE(2*N`guMODAX?+XhI09brzmsNe<*FD+UIh@o=!P7A
z_e#2YzdRD&xx2pF3C;LjJ@L!uZtolKJq*IHr$ZFV+{ccq2;Mu%542lZc8>eDL|47<
zr75`#`IfJBHs(h<H5c!H?3dK}8NAEcuxS9W2YsUAbiycQvCj*gb8><0P(DvY?~J+u
zLiW6{IzLH*Hn^JRv_tC-*V$1}zK*-6HjlITlEeP8L~Qq(<Y3NZJHs6aIX-3fLsm1s
zG!h7huA5K05n$=jbG51`=QgZK;@&dy{0)NfIbd>rXy0J*mb3BsyXlF|I_$D$i<h#e
z#a((&kAs@`TQ~%z)gy}L&jH|1sys70w-Agh6Y*`W_M(2jJzD*Vs8cheYOg3;1=HP*
z{C$!6PB+LR=N2$*(tKY-L^!MzGe|v-G9?p@D;y00Yek|7Mbt@1K}Y;_N}^i)n@>6)
zL~6v|A-3VB-jAC2y7Lh9Y}v0T*qZ$2=2UGaP;|9zBdz7pd$yX<LX4+w^IKmJSTKfW
z+1A_J>_i+Ydi{vG+IHB&@m)l|jYB|nT}<bbFtWtiO>cHWSZ==$*C(E%ktm6L8vDu#
zS)4wX=Pg6Sj`oyv#0a#9XGubhwMGQSxq+oi5G(Ag!M}^UmDQSRH#D!tQ;vjXoR}f+
zA@aAUXI__aPIs|}z?IOIb9Dy~3iz#l@%JsIp92}{XUVSB1PB8`NbF*Ti2d4I+G$!e
za*!ZTiA*rE2%oEQ;+o_?u8PO7^O*P4i=lquK204?dZ5e{W$9G^+RNl4<D8!=3j;B}
ztS@}quSdvYoTtoCFTb}qEB4)R7m8#&LBx~KYe~e7N(z-i;Pm4aag#@B76m6qMqU(6
zMHH?CBU&t7@rl#Y0<6JY*m0%^)wcK9wo>^=&%o+*jmy`;Lv?AWxhmQHs-Cb#aIh?i
z802Zi-zI>yX3t9TFU_-*R{koOVJS>Z^Eb&h@?|_yb#?h!V(c0#+WbA%?d=%u=^pQu
zsv^<{hb6oUO^LZX!q9QtRd%JfQKM>9^KiZGVsuy5ktp5rL5l0{jrQxajKdI6dp+ku
zDpHnJ)rJyTD`ZrD!R=PCOpM7MdQ2nv(((%tEUIH2{7N19{?N5BM(}Cww3fz&PLu&>
z+EJ1)xG>3+BBZ^{cAVHbaO9HP{=Auz2{v1LfP#_dFYgY=V?q-i>GReFz_K*KXmDa3
zk4^H?C8)s(dme1Vdq2c)dcuUE*oqs1`y;Sw`k6jGGWKlwl)czorq$WbURIJaS;6VC
zN`sMH&M&MWm-3Ef`p!WG-2mL5+%tW{m413mT9NsML#Lu9<BxcjxBjQ6Qr-qpw&J+l
zrAddhr7CC-3K|5-_IoZl+J^w7TzVZby2|v$m;Tmq6CMJt1<Y+#Ljq?LK31lD6*gAh
zHGBDmvcOUep&6<gPfgv*+2ACLl$*HZOK!PHX(qAeH$12_u&onOOJi-xC_EXwR}@iu
z2-VD-1Yo71^GE>KZV5MQ1gPd^R%CA3ZXYjG!tsJahfam|1}i8C1y)#G5}#88VzgW8
z40Vbza!yEs{R&btRVP6q{g%BKfOf_8?uwY{g!xC#o^JL`q}Za)P&WKmaN$j)Ak;L$
z{?3o`sg}Vl*3pz2knIa)53BfC;vbbrnoD$@dFG{a8d(<TW%!L4XXnE0QZu%#Fu3eO
zian&>OnAT>fxBWs+&{yM`-P^M$?m<Sb<Adl=d0q5FM16G*Ay)KX)fC)(%dj0f9`Wl
zQh2UojFpJn7i)=1LEL0H2GqQ(dOBab*jY?l%VjwiA{C)Kn<T<#c=;=V>CaP4vb8xV
zS8_;cj8s@)A$w9nM<>L_qVOz<-d7Cd*q_?gKZ(7liQ#~Y2q`M*N`0jQae}tk#3_;S
zju~Aeo`~}&Emq!qa9$Q!Rft0$M4?|X8KM8?L$if2C61L(IA{}o1ES6b;lZ*lo3VH>
zgI8qi@MX!R=xKKH{;^WFP06;nw9|z}r!nKih9_-!@G{6(>FAE2nDse1N;V~QwBh!t
z2=bhPUt3@@OiW6-2ye*8t*3wG7h9`W_pyVIz+54dBOJ>W^|)7IN>~B;A;3GHfT^h6
zl4S0{-wBTOih5eI5c1o-QK+%-ufaBQK&6b?KyFGsoesXlQfFaT?e`NE&*aCqBwWs&
zF{`|_ca{x-HNZY&#?LsC{bc|u7fH&{hhus&u2@2Cou4g#WQ7i|tESgnGzbO<<l&?V
zJJK4<bA8Fcaf>gJqxGpP>o1w@S{fVbSVPsOUlKdA{OX`_pXdFw>c#u;AbXi#WZ;wd
zYhObA8g5Y+tz{%ImRmZY#No6a4`RD&x$iYd6TQT5&5kWp)%))vlSiIqjb?1+xOul2
zO9~@a0jft1kkFgV{e^+F1MQ}3!XQboWt1pqoW9x8dmo0GN6kr?=#sYiJFMS^u-e76
zY&ZogcO#0FX&zA8=x8EC=#q@;ebi{mvCTEw*|TJgd9dY~x80*v$;MUvS5@se&^N8V
z=}`GB2>AJVWIifR>4x9B!hl>*-{3YmOrv(DZ%+f~noT)JLagVs=~fw`J@OE&EYqKN
zilY^38jIKjm)6#Is*e|JU>IR;)fx*#@^(?}4K8>h*M29{(<EuKT{~$%esERY2Axp6
z5;oiLw+QX_A&(M^eP>NmnVqA{wMTmcWg>$x7`JUAtMAXWrJ)2A>2l)=A0rF9j#-_~
zuPC<))Ddf(ZHnzQvalYzHBS99B8cdEz7}|B9xwb4VwB}?P|*Lx_3TfL`G3UdUvVU6
zR>r@VLRkJbxc)_q{&7<KuLwy0vd)qB1o{Q`S);xw2j*UWf1dq>XpOk#{wk%QB<}E_
zp{Z?>{frjEXbf2@Zk|HgxU)i;V&@93Q+Rgc`_mt6W^YZKE7k8Y<iTG@E-#HPOfylX
zi#|h2nbEy%iPu`Lu3I0kU!_mBZ?3_pR1y_&d_LLCu1`uLpRETrC+5X*<N%?;N}jVe
z*R;e{<`KI1z$pozJ=dfWf=ksa1Bf&jIq5Op(pBTc>t*ttU>m)+l|gzq@^a(zfG;D&
zDZ0$glvAys;09yxq<&%LAFZB7sO(aR(wDaxL7`I+$L2q~4TRLogULoTLHolbbxHB$
zwRW^WiHcY!Q@bWn)lkEhd_#5Phz)h2kjlh8q|ix)>5qI(aWyY(2kfzHq;8&GF}$Ky
z6zw2QUvg%te1n}d>zY_d$4+|QD}qefQghDZV?)4df-458{IE?#32-9{f*i0vSSR6i
zT!rEvVpi~<c}}SIxe|O>e}_D-D(f6iv>I*Qz=3Cq<!(~W+LOlD>YCTH$+}X<8wY2T
zr@h5Nu8AMRwE>Q<LMV_@FB@l1D3l`gUOg90Px`z(4)n8?>oZfNa%Cn>LPqni+Cs7j
zN<{+JzQ}1xb|63Ua<c2XkBdsB4$C(6N#%sb$%j&VDM&KNV|iBPeWNTQ@D#@4yPEaY
zQ_EhR=a0GRX8O<_bW7fiLRpm5&g)!y_m}YdP7^R%gCD{QB^+iOvNz)Kph_B#=7VcM
zu#*M23_}-%nD-gBEgJFm9FP4xJ_@dX142P!XD2P>u>!hk{{eBh+XnD;BG5vWQYtk>
zoh527Y?UgAv^7VmC#k$1_Bmi4H(z9U*y&8qTn`EJQ9`CZz;mo_&j{_d8k^TXSoFk`
zDI7UPfuGjF4BSK-M}~0-7v{buH8!<^7Dn9@*99_~22lknWS@Sl#4uA@%$u-wGH5Yq
zG&_D?Ps4%pi~<SdaaL?;tR;z)*3JuM8H)Ls4T1y?+f5|N&|s>>>q7Y^RcCcQ=yus$
zW8KeEW8HRYh{+Q-h6Ypg-ne%yJ9|lhTS8h?BW^w3kqeksz%knfeJ*kU&ZmOMy)aKI
z0ctA_5JR&87^yts!b4Y7*acll$!}NWe296leTz*><b&CKE8}HW)F6sWDt0Ik#f%Bx
zOfL1-498LqsQxm<bwMAEeF)LS`F+KgN_zF?3G&7Z7lrZ%6mE-n`hlC2x*)C#+)-NQ
z&QClEH2LLPHquaBp~p6RCQm>d=oOw{>lJm_NXWvEJQUFWMq6^A2f0+b?QP;rpm--n
zw?Me(b+bDk2v08Svh3~LDaKcpndkM7m5<t2nD+h91pq<LiL3d$*@HM!uFLuqYU*P0
zZMk%kwdL`YqAu>HVljDYaD~8Fh>Iqw)?yD!|62A;%kB4ya$Qd`rduL$2U23@lPSIY
zxgvjWLkDK%gPgh%1a4^V_{X|XJh%vhmEGE=df&tW6C-rr-rde4#fx8(6wizFb}a)G
z%sSSNoWm|X$r(V<d+dSommhAyRy<}`zYRA-Q|gn6)g!UfxV@Gxo?wz)Wy(y{)->{M
zB)E2#ee|*nWSqi23P^0N<roG#HU79H4ayCkbKNiQO<;Nre8Hl9m4*ZEZIy9~UF80L
z$($t|V&xfrRr*>p)Xq)d!LA1^@81{c%yP-xNzBEVx*fQ~m@U2VzJXO!k3K2&7(x#~
z)G@yb^RlnslYi*Wy=xz1oYda1uob+^^9%V(n_(h<quPx4J?9o$DERC9!7t{UO7jvk
zJG^GT>+ckx>E%4LaOS$`)2IvvF$$(wPI+hwXID5*&0;F#FN#$@-q0xuF+&Bp#@~KO
z!R?GOm4a~}IN1EEo=A0c7Qohz#>PAg<FhX4cSpEmfq$6CX9p+y?dxAqTdKgHZyfU6
z*w`f)eXu=HjrJ@*c!1(0b~Os2o_94!brv=IJi3WVl?Um;7+O4ugMAj9#|$owOHHP~
zYDNkdRTq%TIk&{h>pFN=8x$2LjX9b&^sL`&>MP!B8citYn1RAZCO1uCrfAc54n}5G
z{kw|XZCF{KypCZ(5P{sTg0*)DNE7CD7i@A}Un5?In!*~QG*)L$H5{DXy_0N5!~$Lh
z=Ydd;|LYkh1+VG;eE?>Pv2){k6RrtII|zGJDvUF9!ugavoX}B@gGnEWA|LKpJiZP2
zR*GBoR!W7M9#T&@nP%BwM<tWN@35I-V@qWDWLh&RGCb<?##Li$ic`QrPO9OE?R++j
zXvk!rB_>sKw&KnTs$L|G6?rfQg>kByk_`cBalO+r*0fvH)I~b27B+UiG#eYpb~)Jh
z#K|)*5=0Wcw5A1C()}vvkM;0l$F%dCz_QfEYb^~m`O@z=Nn{W1GJFgSm9)C+3AIH5
z4-=!fl?8p%CSk9L#OX4{i@1wG<8P=L%+WMLiM1fTlFtJz8cgG{7hsl2VZBEFRQ(iF
zOfibM3dx7Y5ZLS$v54o+sVF%kR3gWF&efQd;F!tWWn|zFo^V1)qF{}Ieu5G|8W4dT
z<mE}shVZ<j(+v`OFo`3Ou318~5X*&95v#vFJq~%!UHmRml!!FjCb-8K*%m<UCI4|D
z1h&0845X@s4q_N19<G$srB2E+F}4!#Inm}A6M`^*rr2c)i;kxtUsu`2w=)&z`mBQ&
zcrpLGyB<b>zO<G+MhIKfb84@-s_0o8UZ06*<*U*dsS`Z?{dy!6|0}9ca$X|i{=E>L
ze#S9kKVnM(#9lnsuFFk<ElMh)_=Y9AuH=MpooZH%t-;KBEyq)(-A-#T3<l1x-Cc0V
zX92VOt5em>hXRmvPd~F#{pQZLb^7=02bW6jac~angRaeI-0bP#@!BKA@l-<E>CT?<
zv!FDI6lU!$dt1M|U7#a>2Z*D9>l;=77tNjnDH-glD_M?icYDA54d&$_za{-Gj^*`H
zO#CRZl*G?JO0g}3-KtI8Q3$QHN@UsI>M9qAo%m0(@2|ws|B46shno98vhS~W6f-m1
zzsSD7&DFnUAM1Zho&Nubsbd7%u_sVU5Kb4x`ldW!4@!?yBhO`<nm+(jrkto$VYNnp
zy&@blgXO&8o%Uz@{<MYSC~VSq&rm(0lbw{9jBhwx?OW>tHk}@<RIt+U-@2A;7o~EI
zrDw1>jw#z^pa3DoF@4|kWT^1Gc)bD=sijNdeD^n|`sQ5Wa*u--rbpE0$iM<4+i)rf
zIwuR}Ka*1u4%csST{oI0w+P=du7m=3VW0|4(977d$aov2o_ia+BrNt~$$P1>LJ5Uy
zImd?6JSel<fKh|!c(#GS)ZW^5G8L9d{i#~Uw)%PB*##x?fe>iMHR)*W7qJQH)o+PU
z{8pi-7GAB%Nj~ZhYsHtrj2kW|G)P4+&UZkm<Mfe(M-}DXvet%|y=+?Gp4p)~`Fy7S
z)_w=?;fL1yR%D;rFU`wd-jbN`J`qG6q;_-CS<1sWGmj-tc9_2*|Hc1%6mv)%Bvri1
zXR}QazPqDt_(ne}BrUkMZ>tNgOD(!WRwf$uc%5p0I3_+XFu$&R9LZA7rhF~RMyz~#
zE7eQxiPiCUw>Pd9!T_+vexoJwGa|R;9_+ik6b*)*KO_1wR-JBm2`ppz?y$8%(1fhj
zkm*tJRZChX+CKekIX)k%pXz%SI28=^LbfFiv5-RSCKK~<1*PKV4|K8VCu5KXRv}hl
zBq}~;e;+(`Ez`?lea&K|c0)5t>L$$Y!FJK%4r5(@BQ4{6>$(az8!XOI<~;tGx|1ZR
zUd-uMgfb2R2Cjfm=BCMdyOj~<uALWmd?#9m$nLFRfrOzrZr(ZbHDW!1O}O-G&!6sN
zB*=kc#<8hVayf?Tj`6@oYG%~fWSYxFldQy{`@u8K6*QJ8h>(vHc#hpHND|{u>-_V2
zN576`jIyIUN`CV{rM1FZ85C_P<S`eUozUKy;5?_DJRu@@(=9yO-&~nFEn`f(gu65<
zlo`ITHi#Wq8i4*l4ieF06?%#kM0w$UDS<`*0Y)`>-y2RCXYBkO*VVFfWuhZ!GG%oH
z&0EDO7pkYJ9@(EiYev6CKfWUDk=jbDz=7guaK^g|;%H6>k`8LOtGKM(pUPA%NNGY8
zEf|t{c4ts@M^C7V^#zgXd>)auGl*0|LA8$^9GF=!99{>W@Uh&$?}1w#lE>W7o@yvn
zAEaC~5*1lc6o?7X_yvTEx}+vz3{NRq%fPiKhoTPYnj<>&x)&OYF&eM)^)Vmo(N_Ts
z?5#Ld;Fux4M_|8)yfh9JR)iWxzsVV2);yK-o);){g4kuKx&(~8peP_zBG2t~DUzw(
zcP@2S;D8A={NfbTy7(7@Y}+R*=}IeMh!8HX<H$ayopj}hkQ@jJxRu<n*Ob@^p33Q)
zAqZlhIu#2>c#j~tCXsAMzKFhv{xAlLI0@cv<L`DL-ZI3XPzol8B-iDD?3fj10zy{%
zWo6%<P@leQ1kwGz>!Itt!*A6$92wa@Aw_z*H`x<B13|0y0@L>mh3hJ%@p5n<^al$&
zbk3F_RK^{2II9*(HX4wwKbo45RBrhe7fL$vFx{<*xr~q~()ev<FCwQKSZ&>{*KXMz
z^%lP_9c#Xbn5N{nd}x@aMA^Ip*S*;%TfVdK?Q}f`&P{Y~pV0R8)x98EbFJr4NQLt+
zE^&)C@a6kPN5wGMM&W$nk7sgjUc7jKg6SYz`1&a;D{UlNQfoSNQ$EWW>>qg~MBWzz
zl*<DlNA@$%qh7Cvn1WN;LU6XA%-c6Y$|Q<GZA3FW$d{t4^CfLDNNTPa0*VigP414-
z_j&O7$J?W=(Nmb={HF%0T(Ngt{JBbL&QrM-J)VY=9I5X4j3PV=TtKUAp=1+|CKz^A
zSDc^EnzLWRH-*KX0kGWq7XL9E@Dv9iiLj*pV!i_|tn7WzCdf`#%HEbvmJOhz1>k6x
zGyS~)Mt-jq{XV*~uklKX54Xs+d6PqVRAw0cc_G*C>dGLQ4xC%Q_ofvstqgM2;&QMq
z1`HWgwO1ycd&((~wPcttzfn+=;NUV;Mk+IY7SX5WFy)fJECZwfvqa4JxI7wldZ_*!
z(eBMzJ(469ic}DeCms;_dDpr<%_uO~tQ7<RrAThwvOJ;hTruj%tu|sJP<ZcLpDP7&
zq&7nS*QAaG1qQS>oXWG)WNwylA}3QVunx!*ho0No5Tz&PHi1yO=J|@Xn?JQTrg6L+
zCaV+9_{mbt<EP!?Ei+H=94$LOr*baqdL=q|$P=4t$tyDoZXC<MNYl!CAEsL*^lqH`
zv1>K-Q@~^-*XLkWDsCON#R)FS86u<4S@5q)-F7OI^X7vT;A0zW4808@zYc)Zo|+rh
zXxMib<mEP)=kguBIKF7n7^?5sS7c5<FcvO5&=OOkvCD~tui`h>;1bRv;ltwOduAE*
zAb91min>~t>IlhF&CYSJ5^UGcR9j1P!ltN1o>edOn^`*9I+qnv?L|NiA64}8&?;eJ
z&v>dgV}or+W7dp+X&lbt&m23tKh}A^=mlQ;448`U7-p}6tu(6eR03RXPJ9$#4T-uV
zn%hmHP@pBFM_a$6E|&vNup9~(4^b)NwA<2Cx{)Bc<T(m#j8vRCL{}E4OLRz7Kp~tq
zXdI1PnXBURc2Y^zV96U>B*+YmMA^Ir8@RtfX4#ExcEz86jG0}k$<a$FZ81MBO{{lW
zFK%jXu{~ore|d2E+OEfJ<m;{0l4;g;Of)+(QWyWR%_#ohiX4D;1)iL`sef?MGrEHH
zdd4#Wr>~3Ay{$Cv;e!ABn`wB{Y<ANZYK)0-y{)*<Uqxkphk~k`BZT!Yy)u5b8ZUK>
z$BB{e4<E<LalaW@ZUM|VU0GqSlV9+NVbw5v8~pARI4_ib6c_I5bi3M;BI=Y%IlLvN
zKqda7+EOA5_B|#8J!wyY!9<D&k=7-U8A$o<<hg$Vf){`xJ&=8q4h-msrIN0!6yQSJ
z!tp9qe!o$JS9g-w?gzqk;(8e;ecv?!fr(D9m{^#-iC|41G7LghWX$yVfl~Xh3WXx6
zy-?`RSR4VUt4Up8>ztAw$=*<WGAp>GxJr4!;2Eeq{7<^^ugul|if;T9VfJsp^gqSm
zKRb<o1JGFi_CfzeH~w+Z{;%x9zt`LhLi>FG0H9r>A6FiO@PTnP$azRY|F!0}R_}Vj
z8Qq2sD}qe+$rmFieJNmo;RE{Eye22b{q@}bT<f>9XZTS6d@@tOXpWi1FPowPDJ}Ac
zY}8lYEbN!)n>*Us&;qi%f4WBi;s(iy6Ikyc$nvoO69drBiVdb$5w?yrxAna4*dP_E
z5jza*n*Ua4^s0z>4lN!47z>?{;RMS^rl&`$X07?LuRl81v%_2Tsl(ZSp(Y*ch)h2T
zeeJ>-7Fw?*ha0x@_T^}2O3(013~*jCJ+Rn{#We=Sf26chSgFv!@oUbHSAzoeq-mc&
z)8fOrW;h+gHbDs!JAcriGrn4%%hm=#MV^?Pm3!-`KhPhmNn)Q}BVF~_v^DvXr=+W-
z3FdHO`#XJKeQ9|~GnFJ1=TRfaw8MZ9R?2@Qd|81uS-*y>0-YA;&P^bE#W>t_p=AP<
ztpo*|9y`$)=fmw(9A|OU#iReh?Wrofhbq#k+_k3oyo2&q-f-%T3*i!h@*?8*kd<6m
zA(LS<gFP6Q!ycc|{_um>&ja4@{JeFFBgd|@!>q!394y+0UrG1i4jV=@L<9gbHF=QQ
zc9N%}TqZmMtp)g@p8g!Kyw1R$XpT&p{E)hoCi+icle`c0IPxqf>E(d;*a+H6KQ=a$
z1iKlPZ8^PoO>TOp<vJ2Y%I?ShY-Y9cif)L$=LU=jJP4kWEy0&3=|>(SiM4*oEjT1*
zS`VoG)|xVpBK+?Znc4Au&4b|;H|XYw?K~!MjEc`p^kcg*$d`kQ&V%RBL~y7y9LqUQ
zpONBgqTd23`227scpP$`_fv09SH-kDbJtJTZ@UBm+1VIZn@V%p^UqhiQRqS!-d!fg
z>6)h+ndCL4aa&34Pmih|w!}30+;CCn^=dY$wwGVNf4gf}m<$7mU#SdrJL2^uhp&%t
zihQq>7|*dcyU00HZcfD2MH?2{%7j;V>$nMFn*3GZCW3<MOStKCZW8_)Ms=N!vi<CK
zb?oHSZ;{Ia_Q~^(<im;(_RSUZcH0VjYyx|F*@?^vI8gDEEH<)^iNRd0ENN^j)p=jh
z{ldf7IP^wm9ejD_b0n<W#ij;z={&P-qRA>%yU{^=W#<`QB+CRHa3DKF!Vad{a74y!
zn09iCJ1Z6pa}-8U_<G^h(gOQxn>MS5b7;Jxt9N%xA_s%BkuBIv<MESiaWd8+FgCt8
zLp>RjOJ;E{K=moR8>U&C*UZ$dh2CwaIQ>9Zaz;=Jc`uTR;|JBl4PM8%pcNH~qz3TW
zIO-|M6Y$R#FX9P7M-{<9TY=#mwVCZR2rP>kB?{i_wLZs!AN+WM>})(F5NrW4LpiNg
zrDTJ@_UiS=2ky*4jqX1ws6P#~zMh+<UXjkXuvlXRz5fOeI3*pNNP{SAIAm4v97?B^
z{Gjia)Vt2(uCui*V@ertNk~+hFmF=_fR<tM7P_vIPdH_o7D`VkG0>#05lEBqGTap3
zLnc)$_8<_9*l>#%Y6xOh?8Frgp8|a02sAILoRy_@g~%JsEvrN(r4}4?Xp(1Dq3Sdn
znkHHbmCw|Kbr_AB62m)`FY1;oEBT<5h-4rXB@IOPU@wkE(=by}&|a4=tMSFth8H*z
z*z1!$1isVBcHFvzt~#n7fWy0OV3?Cza?G`lBN#$S!NaB4I&l@_aHj%B){#e@QTZM9
zOjH~NE=`;&l=$Puc+>4q&#z@r#H4Cm)QOkdGz2yk4o!AR*yl$Sv(SQJYv_^`(>Mfb
zj9=aZo9C^i*A*pM5^PWSBXY};zJT%|Q~Km(xu~~;I-#*TP2W{)uvUu~F|a?eiU{aE
z5d)(7=kWn5hQ(2U2<lpqNO&A;{_f!g8#~LSKAcScbnViQg+#QsZALH?kgX$ay+G+m
zfzdC$dBJE+E$YY_Pc3v^U-i>t`FceMDKJO2PgQkhk{$*?6Un)i!}JvGdR*A(I+t&!
zVBFM5gCZ5?D2XCZTDLP~sl&0>qd5HeNwf2!d<@r$xkB>IcGlXajtXUeMA4QbxM@LZ
ziZDhY{k*c|t}PyG6Vjz#*-p;B;lk`KQs2Zq4igB!5I0IPLYXP9suw|hlx%~x&yXld
zRitRV-~bbkENQ;R)rpuX+5Q+`-h?-5<Je~m@gTR+L$R;|Y6JFFX$Ws2^nl-dye(x;
z;RTd!+JQM+9YdiWHVN4xseCQ6WyoS-Y1hVRzrGvsIbBrGpPm2&t`isiOls};>#J-k
zFzoh=|0t=8fLW=D!eE+d{^H=yyvWw<6kS((LsN28!*s>&C~)Zefi0aTT0Hs8kbRR=
z&FxE@d_A27S8Y~O%!A^b=#G`pq{^T&zfV8uk%G0GpU!5Z&vFxga8m<5Dr#qsz}T9l
zTUOHrG%x7)u}i~Qw4o`_>;oGcQ87Ys%N8fr?`v%@UhOtMITd<FE?8Qiqx*n>gp*T;
zxyVYnphbMDub95DMr#Y()L3g-MP>%pZS>Flk(GfZAP7L!Cv7Z^4<A^N6pW30a#O?0
zkNw$`%Z~*gc7uyEt^F>Wm_M=B)W()C;kY7mv#{2d`j@#AT0cKKvhWso5BR}9K07sT
zK-st*n2}65<3Zm$@i1NQ=t$zlL4qkn>KO>8kMPRWN^7igdJ1*Z4=S@lYlbWdmT_&g
zaa?_Cs*c1*z<Wb%S`8mmK(v81L$(Bq5f4ja^~mz=l>mfCi{5`wPON_;xBe#%t$zxl
ze|Owi|H}7$2JZi+L9qU9CH{+Y`qQubFKUX~6Sg=Uh@EFtkKp5z*V%&l-N_f9GjIQ(
zK@@}*e9|D!Ttjd#726W6scOrXg{w8f+Ia3JuHxUVeRXz#?ythXeL8M24CMeCO#Xk)
zyrDt_?cD4+WjN;`Duz!s3rT$PAl_}<-kIBdA%UXdzexaff60l$wfit|doM&n?Wj$+
zWnOdwpAi|<L0Ck%3a4yGi)*5d<`)=F>oP*}{oVYUL`$hztAHJ@Fc&Ly;0}A-Z?q+D
zwHM1CDfUA|o=9VnnYi!GLmOeA5MKiYgc<j$DwHOW7Yqz~@!)6AoSBFND~??kc*Vk~
zsj&^vE=atZ6y&3-Th)?TI_$IANv-&bsA0q9Nd<bX>*X<F3Q#cEipFx})`&WMqgNBN
zc(Yty-O(MbNWIG_Nud~F3jIR{ZC4GTfl=b?)OiHxZiv4V1!aJ!VMpd0^P7U#=*TcT
z(>w3v4#j#pQxFnpi7`?jMG_;ThZ)wV)kZ!6eQ|vO*x3sj7S<$Y-ggX*9FBo9>o=-0
zp9t>$@;zJ)%jD5C-m}8%aJtYz=dMEtJ}!x5n4Bz3nKl^_y)d7BavD+=TW6a%&PU(O
zkFVrM2#^sjuo@!rskT64!Ix}|To=`YMBo@c_m;-X!r7J72Cr|0Fm{rW1*zg#R;@uZ
z#3Ezf_Z2PW8~NBDRH0xgL}B7Y5rxbpe)!=OM75Ad?lQS9=@}a5yqcihg&?S?8_9tw
z%;a9|(s$Pm-xK{>iAnS@eDhlH8C~;Wj}0KclrDl|e1qi^B@}~FNnpq-!;X+`x$4ZB
zT>8H6A(y|%JU1LLOUbNASMt3mZ`31aW)G+1ERBwl6hN8vlfYIl+f<pyYxE^uVFM;l
z)2$P#NuA@xYhHWp<026?Q6aT0(mA7YLBfQu0rI=`6fs@;pyHBPc?4Mo3rLudn8_6>
z`NF9)l}#i0khoX+T3A2a!w<)_m%-_=DXz(eWl)WEMn}1I8_pQA15Qx6)bL%(B2>`@
zzI9TERU!NQ;JuTPr3BIp?V~r^O9u*aG+q^hT`N8Y$=8#NGa*wX-D`f{OvOP66R(0Q
z&_<dplG4J%=ks3rYN9efrWu$@2AlEjW#ty9fb*|yCED}zq3W>D7U&9N-)JjMGGrc1
zm5f!<$fO+xEg+`H3lee6bxUQb9lL1oxA$a#Z__+J`++AYcrPq`A6#S4yzhMPov)#r
zFam&0-<(_li|efgwD6qAmaW@$BkWQ&s_p#c`Qa<+%~v-XK7=?lMx79GmsMz-qEMdR
zwXyZgQMQ|f<Bn5IH)*7C!rFKX_{NqT#zgdp5rM^)^Qd-eTbX3@t;{LQdmdtVqk<11
zq)>9&|3}?B2UoVJUB9udj&0kvJLuT9?R3zwZQDl2wr$&XZuUOk{`UKxyYH>@@A)T{
zHEYgP&04E6e``GB8N*ww@4eV4^!2C2l}}OE2cnMd3fDosGKOD8SUY#!!BEhLdI&1V
zY}n&tz~gc3!WTj=mxvc#w!U|Wxi#ggJIyw`*0&>~VXj`Tej%i_VrO#<S>3qS%xf#o
zwi|gWb4pnfYK(SUaB(Fnh_-}CI;m&<-Gq&J#pr1H1lLQ(_FT%2Sc!KggAHwvHnqx2
zU3NNc;TZqQy+B6gzJ$;xOKh4Xedys{QsvD<tEBf~-`8i!tTxfeKs)>5gpTZcs+2!R
z6<BXsT-vz|2}ZvMT~guAL#pKZ_K3!?1X`8eirCEkI?73pvq~O^8=)5FxEc$lRU<1#
zgmTV8)$idU2wBOIU$1xf=oEfIkJ&PYVrK#oTkjrn8B22!D<8S7cgeGd)1pz`5xO`W
zy~h8CBWsu}mjm9SX8ca1!h=pbT)bmQmP>F-uu{H3o~k~s*TlM5H^%+8j<x49kh+u)
z+$hRtz{#kEl~r?WqiFbMQkEwVCL{?aHj}vC{lfIkU5Xv#J1bwe_MTNC_EO@=W5XWJ
z>S$m03&KsJUop3${|evmhC0UP@WulOZd`{^6T@riAl`@TSFwy}8486#Y;QZ{+D7kS
zzU?ihqPL_zw3|i3eE_NIs>rSXbkl%)Aj4Fio{j9A^z&+_#G%;MgB<R_7G_fXHZ?Pv
zk15!qRGot@fdA@!&o%m5=2I`mT4p^kx+ZeHeZ0_Co3|a<qHtOL?Kh~$bGc>>Avl9#
zI_wLJ9b1}Y>n@%7!hR!@J9OfUW5xa2M>l0Gc#rC4WvrLanI9Y4iX6$kJWeB;siSTz
z-?TF<O>8SzLfLd_Y4*<>;`11ri@xVe<#CjW*7<igY>;m_c+blm^lahI`9J8{e$Nv7
z2KLyq)#HGnDMsIYgfhF+G|-vU<+MV9!ywX*_wzJd9=!zpn&fCT>2+P>kOHq992S<V
zC9q>WCcXwV@Kj!HG|eskl_zIeI>%ygv&DzpOb$4{$}PEA3zn!M4Wr$|E@g`84XZgh
zGv7vQj*?TTVsfedcy*%}%Tb=By^lf8EC(Y+FOX<>k1W){Vnrh->A+{lw?t!b;bret
z{2|BMChc0Xq`s|iisspkZ(LoBQf269q$*OIKiNAnyQb2<MoEn1(3VGUxZlQHfO?5A
zsSU`UKiJwZYz#PD(`7<jh5d6Ho643In`;`J2o;-biDs3V4Ug?pu*(P6!`Ael_~kE`
z)qjcd^Cy=48^8Qz31i@3X8Ge5|J-0;{#(-eAN=yCZuFn<%fH1eRCm27WjEzQ-y!V9
ze>uf8@V}g5U;H9bkE=aegE~lsQkqY|lD_SU&C6@kQJEe4v<bZK`D1=CX?`)GoVRLW
zvP|cJ^99QA{;j0KxEuxF07iLL5_H=#{7#vt^T*|;1O<&Y9NoW?7NmH+i!*(wP(aDT
zdn8wm1Vo-<8lw{I=6{z%EtK2KoLsq0y0{0Gdq1|l;P4Dp5EsRd$u<ze_QXi<L>O*j
z+6bY-r-Ncp(s?q^Ng80Bot)P6z!46E(eMxIy{ht<;>QT*?U8QAT|bq}M-hTM6AfUJ
zNY|Fb@E@h@3IE7+AI(}h%}A_wBx^9Lr$?NpWSKKQC%B(LqdP+iApks~Cg0OYEYQ9E
zt%tEvL9~Ih&IKVq0tF5M9i_EmqeF%h=u;3xVPA^urdJ03q7z$4)~e0;()k05I%I{c
zZHCGFmBj2x;a%~)<>lM!+2Z^wJoyWB;AaJ{FKWW(d(4>`i4#SivK93mygBZB+gzqF
z-7*VpV&Db4d7~vCuADX+GP*s+qtdL0)8Nn|W-JbJNeqxjPMWDBXlW8k_P~>32ZTTK
zRXkQ-3lJNo!*btB2C9P^$N)}Ai-o!w(bu+uH#0=xV4KOTn*1QOvYX;};LsbW{tb8&
zd2?zQ;WrPUx0h;G?IA-J3%2048?PP&I;Dj12K$TI+T61S)s83+RZ1L-4waa~%Ura>
z&hB#CR8&y8)^WD4dRip_t$I^}_MDTcJ&34T`&9pgk-BUcvD)4-Rl5k~#s0B0p=qUQ
zzYx%TdS?K7P8uF*VDyY{MD@P8Mwk`c5xbzFyCPCUVF~fB`r1$V!=_nAKUB``F{W}4
zOX`xlSt^k!8?aA*Rajx=6;uzvqiUtKbrGw%ZyI6noXS+XoN?i-)IPjs3UET@l{~hU
z(O}L8)0(GS-19ExJQ|?IqZL_qw>op{a8c<Vcvj?JiRRsw<7_HD^Xla%l#U#zbNDxu
zlY7u4Uhd*1N)D!8D&_Y(%Acxs@Q#P-gE*&UrB}^*;@)u5euWxck_ei3ZH})o<rR*t
z;oP-xaBHEmAu~2vGM)3QLn@mZB=+5iB1>@wWcTf?aHO$DnN1Y-B2L;*8Vx3f)ESsb
zu(2gs7go&<xD+FK!EbjsAWLOi1>A@{yF;pWKbM?N)j}6m3SPUFlxZVBd*X4NZsDAr
zsd5g<*dkOz=atXK^pZOOXSXtsybO=NOP7>oeu`^en#^LO-}0Or0n>Gn;MKZsTrzsa
zu)}LiCfw_{0~~C3ZxD=4D?s;{q2@VF?bBpu7V@M4A1Ch5S?+lWa>3;Xg8?*EX4Pof
z$_DtFE&ULkML<4!Y3eNdzCRTP%<4wu+1261%4}dWej$25VR->nOJRrpU9-`6nRGRC
zj~SUiF^)P$aBnp7k>&IZ@3}&&uu6JtH~j=_HZexC2s_$KG%xUvv<r9y#Kz2GD&u46
zK_(K^ho2&oE4RP)LWaRn9KY8qkM~_UL<QR6!yJd0CEq2GE*b<ytlriD2GJ*Qh|29*
z!?dK6juIbMD!s0(Pg0mqMWrf$31m%`VKF_xEP<TS#s#=mhca5CzcurAn~8RJ6qL*;
z&)F?2uIiD}?>8EtCsRx5Z8*aKpa#kW;oJ2Akq#JoeKoE`<=3dF7hniCc&<loE_gNm
zsKF)Q^YGR_<TTfCh1V?FRdN{Uw<2zD1z<k(BhEW=p6sC4Ux8K;%Rablj=SaM+tn7>
zj-*Ik9{F`zGH#){lh?}7l%o}hQ`sFKB1qLR^|MJ3TssR28@9z#u)X@{ZSBuRBcKFm
ze?Xm~uB=#?Hc~`(z8`3`SEZU;J-{E9+}U76J7>!;Rv85ouKIlNu<U%MiFwaunKoL<
zpmQrww$>7qHuNQ$@jzc$Pg1!pCBhCbrKa2%YE)wxp9^L=?-P<risYTkdiC_)e6iQR
zB^qtgkC~9Bq>=sW+B@Z5v<oNkKiY}aO_8Qe;t?a4zS*2B1$U5LbT32j8VCp<P7@u=
z5<WGOA$a;rrW8xbuk0^Zk(}DI9mP(?RUx?!VC9g19<!%(Vm&qL1vsBo(v~z692DpA
zjU+~6&F}@Lmn~BlieMF%lAdJZQVsbqo30oXN_Z|JG&J${IHc&>f!zE2ZoJZT8Fh&G
zrOBG3?ON%v(^Agt57=22(QiLw2bpQ%T}(ZQ-qgUgWXGuoM|F<Cnpbp2(N0dawc%6Q
zmY+0=#B}R#EWyl{V5&`ETwdeHdM%~k<{`14+c);cuZ}csMUsk15{^E#D>10H{gzSJ
z4Grv|ESuWXH5Qc@=%+@W97ll;j?bMj2JU4BHb6m^8#ettUpJkV&^3@JZ>6(gr|!)0
zdQ&37QSx?nv=uiihOOwB;Zd&C2JVBV`4h0@S}5|LVB#<D&VLI`{F%D+zsE>_8I2g&
znf_jZ{HjL%fA{XP{4rblkH$!UxXzI}PF3#k=*PcY=OCuUGQMkmFwtMpn9gxLOVE8u
z@2@44Xla(QGvNax<t|p}uq7oI?%wx=gFY8?gxi~3Zx9l6onCA2EpelGzk`a_U&Z2j
za`$fTJiNv@DdMFmICs%-0$nJ!*Kh9Zp7*)Fs&_|wQU6uF8~du0RD_2q_*K2TO<*t{
zkI-hg=3V3cOdF>FFMR_z-2Eu_(dUscoR#Iw=lA72rzkK|E~WjlA5}^`bv1l1YqXQV
zGD--SLLgAvtCcLA*k7U3#n<HU1IcdYJWp~F-Hrvx*<<jDy}DWlz=?oLr-QI)sQx3l
zi9L8vWCpMTRonbNGA`yrq^%s06;Q3h<SV(!Gy_>v7YUM9-jsU2Jj*pAef%+Tk>5IQ
zYj)Qp2%#e53Q8BTE1$@xo)o?9WYJtab5@Oy!f|c@<0&^*nU)zB+%qU*!hTvCM5cMB
zY!D}G?5h^rnUE1A$N}H@&RY~b<GZf!W5h(Vz#?KQE@Q1u=<^sx`{T#7<dmwDyDv3@
z5Pldd)}CZ|g{*afNWG~x{lp$m1iG9?@-(W)dq(gG01m2&BYolgF0NIi3xh_iuVZm`
z_7I=31=g17GH0{wq+6lkgRWujUP`E5DF1RYw&Rni8c}oVS6+<i4X3(m;MLD}1$Kf*
zV7}L`$yalsYTkTtl0YXc@FU$oWd@S6vpKX7vkW!atVIY$^j7NvKKF0&$Qz<vYI8|2
z5g^0qgNK1E6QNrqQ%uHC>EMxCk#2dS-3gan_}^>-NF^yM;`NoUOWi3$$r+ZclBe;{
z1!4OwE1}5kqfEX{Y(-Ww@YAca<VE4)pSsDO5(IT&zL0<Fb=np_QU^|UmIDx&z3_)A
zpcg3IAnYdn;NlUh&((S?HG^*D2v0>XdQgEegK6vwpLlXLijSE^{FMs$3}c{i5*GU%
zzp2}j8P1}uU8FXaIaSVQuiDso`O(XVpyEm#jGED@*2<w9U>#r`vLnV%hlP7yx^`Uu
z$B3s8T{VH!1%u`X_3A;_bKM>$m_`=pGz`gOv>Q4iRYW8k3s&Md`*>ZlV#rF%w!MQW
zYf);9iWj^LoOLH27H3WOaLs`pkhX!pKC(UEzD~3pDP<_Uf0;fKuGaqIg6^(=?CWX(
zBH4{t%fX{Yo~>8pCP~&37_!Ktf`6*|5B|0nH5dC#u)uB<V0N7!D<*UurHzvi?Gko$
z+2s741zSO2hLfl^Wx{v5EbtYVKb9R(T_V<Y6Jo)}%Y5TukeVH*J=qd0%|I9vwZ{SF
z^IKQMOp}44^M3xikNvTt^cYc~WX+`h&FMJ<vAe4&YS}83Zd_#TfaWawn9Z4d*lBDz
z279gBG%iH7Pzi5c*s114Y09#$e+3my>)yihR+_XO=tB7+rNaX4L=k9dlb=5CJ)+8h
zX3|24fbxPJ6@NRMI~;3-3s5@8B&=6eQbuQ(Msrk7Rh{pUQ|z9-d^a6sik%8z2akSN
zcQJq`f;o&Ob!yj?REPK7;kiAs8qK_qTs0hlYs$W*wS~WuZ?7iw&QXmXOH{FdShHub
zVZD#iBVg!?Tb0@-%mkIsf3nCD7}F){X{-xsrrKBSoAl9m7iCSoo}rN%On+RxEc(>g
zhS9b088dN<?^*uEa!h=v#Er}QQ`;{l)&YnRnyR1H9=Y?FtyyN=rk<#+YJ(+=8D5TN
z0+?9Gu|MG4Dw-dF7_-OGI00k**3Z-tF@K<?gB2N6RttZ0oi^&_-0&#vs4fmegqT$`
zum&RdDdCCLa5q-sCq`j)A&qu1tjEN3w7kf`;$!&P2BR!ne#XNn*3T$GE9UcBF2}H%
zT1wIpVFl0mI;P_Rn7ulK;06taZ(S$%n19|Z1#01K+|+1=(sOo|!<o?>tMk#FJ;#@G
zUc3W**mwL;^gA+kgeK+rL1_c~bLdwN;wkGvf)$Pd0iGFkM(qS+R0Aa}EWU7yJ?5kG
z?wyh2MB#QMH!Nw3tXl15E6-F2_oz%rN4>vwS}WsQ3K&Dsj9j85-`QpWDWl})_^tt0
zR}*Rt%r%usc#oo2k&SAT*YcWSz4w6${Oz)ZZ}m0iFLQjHQ|&ZEDvB0oq`u#tDz(lW
z)SD)<wvUZyhiy)`O;e_rZX+Pv1V-LG=8Ci76JvKXHT|kI_(yh=lw%O%Z($<}0}Eri
zOQYgbibD|5E_RZ493|zAa$MEwCCo%qmX>VbAU!mss&Zs_W^KKoZM??JUcRa>%|AN3
zMK-t3;e~g5Z>shW*E<P%Jv(3bRa9TVsXt5}Wf{H}$+JwQ+AHIAluG}|8kT(CIi+z@
z2cj{2S7WW86{#`uauaNO#}M0o!&)_O&}IntjEp%G7A8F%mUodgw!ONTtpCB0%duCs
zhj?Bz$gKWMg_~4X^j^kIi`Dc*h5JaAbn>X;x77*zbCrj8$gys+VU4ak@fJJP-V`?-
z4=}egF6H^vVeQpZ+#;Eq+WLatsd@4I9rj-dTuxsJT-n&{jgLuRo8;R1eB8nN1#Y1Z
zo6JOQ(xG6aJRX@+_tm#ROwGQ-fHk#|B9v!I!a-1u!usah$tJ&=L_>8-UT_(7aDIKT
zmXEo-LeP>n8NQPeYlUE$Sl%2IeGJV2Vc48Co!y`se=Fr_`;?&PSUBDXGPKWh^O*9K
zV%GVQJA8Y%pRXStOyDg=siUWma~@pVp5+<<=j0#;t_}aT+VJb({O29bw5M7~VRitb
zVq~SU1o)#y!^fvAXIn01Tw9KY%_Shl{Y!d%!dWCo34y1FEM<i3GEx@&YP!P)wpd#F
zmq6dj)Wb<Mfp|dX+sf86kpC4kte`+){_Fc4D`@!zNQ93URp1S;&DF*;``XWM6*oxX
zuCI2@v!dvz3XJBjMO<`zNG=0@$NWnOgUIVtVmm6bHW{G0h2#y5AFz=f8MlPV(SAwW
zxMG`3XuSM%z|M(!>|<??XI|s{1du?%Ob#KJJ{{*s{OD`p8uB_*&#YV8M<5+ctDUh=
z;kQ;*_0<4D=uJM{wuiS?@HvM-U~ZTn9R~ItutZG|TlT1$XOm6OeB5uKj)%IS|A3Ax
zf9E^>SIp7=B*Oo#L;cBv|HpyE{C{;QmcIqIzjY{<|2$Rw&-9GNKhiS--KDy+f1ZfZ
zL~BHY*+bZ`tQ*2JK@)$mqm)8C$*Mh%y9Z}oifAvnMj|;cuR{FM$9pzeS10@(a$U;D
z$Me-IVBsd*<7CjKEbE{|@7<fl=>a!6EC-p*yJ0L8uZeqVCf|2H9}s{jl`blvBM{wk
zP20!OyEiW}a?pJk=dV&8$Zh=7OVV$JQGxLt-(nwy;V!@5NKLjz`?&MI`69)usgeVW
z6fYPyK+S<Y30e7!&3u*e1k6Vl7VA4RkB+5ymoBacK;<Ta?*V`=M!C#_mz6+9Q@E0M
zj&W~j<Qs_l7U39Y$VYOV!bY=FgC=}gE&DARI#P!Po6TuW5=O-rlBd&^1ZO6Qw2P7W
z<4hG2FIMmhA|hxeWmlrVgj2SuODKW?S5)R6!d%Iw+c?&W)4fv?!_gE%Jo32kdo&wI
z)|J7Do#4ynXbe*1AI#xYOd4y@qX|xK8`a?x+dQ=?g6PwFw+Qz3@}TQ+qIdFB*ekCV
zH9GA0RNgN3zOknX+(XE+e%u%u&-8|*d!R_q%j)OqW;R3LW=*M|COnI{W;O?B1Of1q
z;~2J=+*5YfiDeO?gpZQ8_-`F-c6RG`gf#LTp*X;Q^adk#&$#6xiTmBj^vj3vFoJ!O
zcGsfjiF0u|VpEX2CUB>c_jAuxCIuseiO8rTR&T{S7wd6hPx@sD`?T}ss7v=qT6!%#
z;|d3_y_i7?ylHO6<*tR2CHpD;;uvljJmq%a<8)@)D-=AK3k9?8ffz;EYftPTJ0@bX
z2XITr>3~ij`958u3G@!`o`32PbBav3qNw=0H|)~xjI8j=>}Bz8c6;+k)Q9Ws4Vv{G
z80*vFDLYV(??McYxuT$Bz9nWH=bd1GeVfP0T96{U{a2*(h7s1v7U1;<%d?srS!-&8
z3Mz0CsUK<>^Ke^cWi2?DS)JOklU8%&J|QupU+HE!8eLv*WxHOZgKJEC4wEFi!6p6V
zO!<c(#M?4J^ZEu>rgbBGA&F^MYa@mV@C`dn4@WJI>Z=dKg^>$uc5dBJquij$EZ^qV
z3Qvi5>jLe|8CQ?-z=xYoPv+6aU0P&)sZ%@g1#DiolcpoS+V@FuJKcp8D8hcq;Cfn8
zp21(i9IS_M@sjeA(8tn0Tn*9#Qp{C%_tS)?z6n8rp}>wj1FBM!p<8btVoM<j9Mf3Q
z9PhA7=#ekkW)H{G{GuJs7QQcO%VYMLfcYNli@w~;Bc5nV0=OAOEG8~flIanpwW)iy
z<5XeIj@!ze!Aiax;TEEA1E2cH|DXiQxPgfC=pX7dvUBmqQ|##>5cqvTfkSo6=}e&U
z*nUPJ2yP8`f4#-=`0I&*YuZuDZ(wI;|FvQg&w?@Lsks5qy-}h&uETXD9%daEFEst|
zgjqdJ7bPV%q0K<+6kro2#j;!?=D$1M)|bIHI8AtQ6j-B;p+`mXuMQKd04rd{r%p&I
zdv%#{Bmcn1Tfc=`Gp)(I#k6W?%!bNey4i{ZGiC-GbJR{+DtXve78H~DwQTu$*0Lv9
zjRHnRPB61J#mKdeth_`<K}QQeVLk`>igYw$#szS%49g`o(Z?G3Q1<<=C<|#l<Q(E}
zroB9DP5__fB^3ve#zWk`vIE}1RNk?hB~4#af#YIxM8BGE!p=L;q+l*h8uzs1QXkpn
z=|Wo?@(K14JJ=XeQ9{ZS#0eE`N$Y59w^4Wr2@Pa<TLMAw*IooG7YK~)fsF!$DG;Vw
zo3<V#*!OlAQ$)}3Bw>^8ZT65#9`11JZrDXV+P50Dr5no*e^?(U78*M&5W&c!q`mxn
zu`C)5zT$6CKn|J>iFMUbM^!vE&?~lqRwrRDX>|LEp46z-Adr-eL{2UB++u*OoiApQ
z4#b?W5px=j`EBEe03l`m>rc#z`w_We4q~qK38;{hc%F#`R6gP$ZN2GZTN^yO5`^h<
zK$8c(ZGPf_lEC4hiF+GZ)C3C}UTvJIgff>owUEXD3Ceth?e&<MNR5T*uN+;9nBj(*
z(tIvZw~~S1N|uhk0w{_RD7$A_9{W#}eT~$YD3@sfsGNkR5w0oh96F*aRppCJzKU+&
z&6u0Q5|6W^X*J+s=~T`$LMWf3>!6#G&V&3xS>&{Q1-0EJDiTF2EE+1&rsLAT3LHyL
z2J;EGFwOk&Zrr5QvP?WHYCGnWe+KdwJb5bnzdCsZ{oIgBUQ0L^NqCPa;wVCOJ^QwT
z<f^sZNgH^Tkoe$10IX^2*Julqa`p`kom}*V(L+n4f<Gy41ukr`0LVmsLA7U3K`m(t
z%kGsqo-lrB%BQ)1(Vc@H?H2ilbayQp>DK<Nx`UBWydGSQ<lsT^7Hc62O)W|T*<PUU
zp>;ErvK1CrCpdvj??F|JTJs~l*hFli-D1CpQ{xCGWkRkKs5h(zl{{+vn5wvWlLqW}
z=L7`gt$v@FWXJX{W}^l5y0DENgEKGVWeXZu!?;HBF>k57KHc%!25U60Vs8e~uT2zu
zrHyu4ixRCMFv@7*397X{J75fP)7`O+u5CgK21Oa_3|yoZkS6y@#QnJ!WjQP#ZMv81
zTv_R^4E3RSSse#MwuLDF2$M`A#<_$=N@K+b6e2$sBqmdjXqT8mLOVpKti2Of!uMEa
zOfI5pT(k*h6G(j4rJUhQQO|{JxpVb8uaqKqll$3?h`P(G1@P$cOgB9mo9RHJiguZn
zD65d&GV8vqEs<%n7DpD)ra4pH;JLx87DjK&gEoelN3ivfRhPK$(k7Q*(cbAJq-{Qr
zkLR9`O&0daGVdS9n>xp{d|78xTRM#gd$~Zyn#Ejw+Mk~O{*U=D$Lb!74w(TTLWMp7
zs3c3(b9|Q~4cqBd7s`rW8`buO2aYL0sNwECIxo9jO=1c<PA4SqNa(jxRFU*(zoOl>
z!YjIo>a_coPIVz0Ra>{quvQh2+j;G3?moGHiPanQ@;!U>MslPj<oRq2F^qZOFMHRw
zM_US<X@AhYzp6_6e1d*P2^Rem3;tzD`Y(|Y|3tihW5K`NQ;dvke|xG}{?<qT2Mhiw
zLjDIcNp&fky{{0{$uAZRrVMol3Im86L^-N3{a1+Ts*r;2<4mWHLaya=!kBdIvLh1&
zwufO_{!mnwp`;Gml-bMgEk*Id*Im6^r@Y^EX=Ps>J6zH^!0YQ?xVUw)R8tfpL6uDM
zZb?X=Cl|P_QF!$We|V~<Fmo5c_NS7vT7T<c3QSX391+wvlLu=Hx-6@0dXeXDNeXM%
zu(xgur}zjV`gk-wC%DVi@5y3lak4NIkWX5r%C0?BTw0yY6xU@NeET7u*l?HFZN)>&
zWslIL83#IN*W7YOi_k0)C;!r#UU%&nK|E*+ZmkmDAi8Y%Wk+Xc8ZI*g@}N39y$>Os
z^QO~6`vSv-WRi@AptB4t&LNUiL7+2g(-oV18gLD74Kt$O4AaZEZhi;`={Nk<5PLH%
z-VcRVuZs`#ViVGYRhll{pY|3VJG(jApB+qF&1TKHL^`v-AJuxi9$g+^5Abf5C)1*`
zijTjWzqvR75*B-1Hd#(ieWkWw_7#eL<nGNcY8<y5=Qzq(pNcxGvuME6(LvbQFrkm|
zTq|9E*<{}133(V|5}2356mz@b#=`$9*&)lk4r6EAQZcA}RejCVuT1ND64Sr%pb^@O
z3g~_W>)vL_T6X*~7t-IVdrGgHtit}Fmm;F3rWyR?0QBalj#c3&!l;oyYcu=7i{Gyy
zU(uSQ<+;LJY=XJEdCFrMSXq+AGqktHP4d<>1of&m4PaE-Ar>}Y2%MY?ngEwL4aB34
zj#qO96!o3^=Ab4-Y<vH@`l>HPe%GVKJ2cZJs7R$BRvyOGXdTFr{=1+hUz=%RqLO;I
zIOSQ2>IOy4o&*gt^moBnX>XyFyPL&O$Qj%{ZO;Hp*~kK>^)`-H0n8lgpCNqyuwT%h
z6eCl1x0@@;@Ue79L_<%mCu!=_0b;-9>Wr!J;CD6$!5f)zQvXMV&Rui$<ZuqNJ|24i
zX`le>^)BPk8&IJ(rlEuT%_o_CDG@f?VXX{TY6Rc*z>y(rWM4`=&{n-5s1pFJ(bS$m
zLcyUkZ7E4gH~iI~9Xb+Z!^S4U_<JsBGC=^8`#lPe=T#RDX{=`5^vI~fu@^n`hfD?W
zT}u6$iT3^USfu;p?l^IRtP?Eng2#gm!OIeq+9Bv#rD$uDZ!l<!D`q_LeO#g8hoy;3
zOxF_BFb>z;;q^PWEbtVoH`<kHBkv>)xbY?e$-1SiiwFFDLoAQgN?FiZO7qTYBJ|v=
zIVuO<Wtcs7ykW(JVslT-$Xd`M))3?BhR6hoL>7*g{f4&9eoNefHU%`W3nymlvB(Ql
zTjGBA70qXqR2j%)IFy)vJ!d&~CEPC56L@5O8fm?TS=)F*LoP8G{kz>CYSp39xG-U}
z2WlVJ4$}b#;+5ccdU&58`n-N_P<98IkU)4+RIE1$E}~_=xj+Mve#s)kWukMBCq1@W
zuQv8(2DF(|mh9>q5$=J%f9}{<mER3Xv3!IwIZD&Jp(pnuuvBfx!FPoN=Jczp^vwr9
z>>Nz+3)bHnR`kl(ZdIrzC%GIUz>WA8j|zxJ4u)V+Km(D$idkSD6fGqv9okwKxa<^T
zpBRaXj3f^2Rt2ifG{}yimg0`os_!Jd%V5MMAL^rDuL0#xV}Yh?l19WrD;hNOPDI7i
z{BomdR<q~XAC%`*iVud@OIeGV>9e=*sbxihWTDVVA5Q_Kpu$$n5qk`PrpZ}#0Gb|0
zY;E5&k;zVd2~zlKydfU609vuH4_SFd7$t^kr}nCuY;>5VNZT2~HYzEK$LKqzAe|-C
z@e0Q!#AG;%rp2EwXS-4_p@t3`UK_b#>kmN8zH!sK0Y2VD*$S{e1d=&v(?OZ5%DotI
z+YH=ZiJ@~7g}BAYi4aX0bJHWozl8F;RY8&cMk4T&>1`i1Ne7N`@_yg4F)5=Q!eLbQ
zB9)MruixAmnPr&LJ@OX`Y?!%u<9-sA{K?LCXmYsZs^+8DOabqFa>}Z8L4@?Lwn{DO
zG9;7Hy5i{j>2#-MRAZTq7+HdA=4GNouFi`D%QErd*hYiNFM?Vs5gAo-EBtYW3AP-9
zJ-m97k)i}bsE;O9IQ1wn*(~}i@(iS@$V};8`JzdYa2-Ty0}Hej*1BMG6%3nwnvCk&
zEBKU)3o<}X0XMI7Z5^N)ms?)bh5ystql~-iwH?WcdhGpoX3NTPF*g*5`P^xB3zqbj
z1s0wPDBC;PLH?BJW^(bkTUM9GGTGIO2Z*vz<*Qs)6J)w`TGy#HqOInr8pIR4l8g^u
zm|IZ7NUu@S&7HrP2@{R=MDzBZ97olByE(_(mKEU5c;+Dq<KlJ{NIX<j+%t}-T5qrY
zMCX1B=iv@3*xJ#%nCS>2fx1s&iHo?Rn2jMPkLg6feIrEJu(=mr9JEBB<3YU35CvUp
z(D5ES=j>QoZp!`h1m!)#nfMrdN6<}M$T7J&ry=m{v7O^a_Z^Q5ef!Y`$;T`F2(oql
zKjFt;exm;t{P=?^{tZ9=GCwh}v;RHCWc^!X`x`%4|I-Y0^;K))CPc4Al{<K9#eOb8
zp{_A;WPBR|kiG6JMWj{u-(Y7+Z{DR#{ZcLtqC{@WW#wRkc`Roa`ZXt4SI*v@y^u$j
z$eV&Qvz;Al@800EbS|$&zdNyIppbj+?i@VEIprWIL`>H5^KNKKK3I6XQoP>)0kE|)
zD*=2F`LSBIK8lWyZ8CC>66Wt>Ym7~Uc^NOfYrS9eSOYy6T1*`7KIJdouuN{FzPtDo
zp^Y`{iJB#2&4<EJP8#vE(Z1$2vdWrGs|K)xqQ>s4mzq4OR=$P+^^t(z_+m!FKhBc*
zYl7^dU>|rmXMV65ia7w|erLC6s9mn(1+?4!!`L0E+{}DZ_GRo2JNd)dZQOu6uckgU
z?Uo%T2o#UBr>m#(fp5gIe6uQv@oa^(&a<fkF}*?&1ro+ju)Z)k9bmB7(Gkeu;6C5M
zPC$z(ZsSLoG*sSns(QdKDUA`nM(WI$<nS_VGtL`u@~5@Ch*FR6GQ%i}%;Ih@U7yQ$
z7Vk5~+ge*qT%!u6f1SW%KTHKf`*(|SN1X|JzI5jC?pX<JnK)8yxqS#tPp<#IvqXnu
z&EDbL-die11egX*%Wn>fTLp)7x(`~9#;o??Nx2)ZXpdNzySGR*7()+_ZpblJiVpxD
z@L{n?{zIt?Phbz{arWpqU2>@D6(<zwlbz9MI&G+K^ty1#hoMRBZq|*BGW2EwZ{$mL
zWP^_-{a)|IWW|*AN%W?mh<k*DfRe`EfoB?bvE$+hraO4j2wM7X$fQ-+w+zOgY5SP%
z9M>gxv$1^1mucQ7<s<Jn+>x-73e{K6@mKnG&q-^Dwo^P#a=iARFcoCjCVPiNX)Gq$
zf<<olA-z%Zt+2>StXt4BRahdMwRu1Krw}0GjDW@TV0f_l{h*Jdsx49~;QA^baX{|P
zp0x(js-xf(f|58}&RqFGhw@~u0rCs+b@0+u=1+zZ94k&XCQDYvdua^_lg{^^E9Vuh
zR$;Y|QBgU3J8IYf3E@8tr?HdkjD5rP<J-fKp!o*F#IWv8pC(w4lj#+IJ3(`kRM8`_
zx6KMAS-yLQiGX0z(Ws!!9POU`M%;7(da(rrGt3`5UzQkX3om|4zbU_EE{@;H36n+N
z%Wk4w7&Ca>sI+^;G{X=A?dLdL^>kly9xVf`hgWL&AuiFY4-|tF2p0H)JEqsm%}2Fh
z;j35JpxN6YPY<C;<Ga{U(uEhah2`pYG}Ptj^m^d-;oS6qw&*D=0B;Q3$~#}c^=KOm
zo4h<3yQ5W7*4PFvdp%Pz;$?A9zY0`u>?ObjZg!bNMW@(z;}H?+b@<ugzYlR>!X=S0
z$1Q|7fF#yDgpDYMNaueYO%zTPITeG(;GJ9{ASP+dCCnq4J=UZrp}t<iZN|j>6PKfS
zog-7Y$Z^DrDm-oRKF4oR&zf!sjRr10B8JTI2}*@W23#xiu%M<)tA0fVFoE|GbrO@q
z^F5VX$Bs#*Mv}?sspgg}2n<(Uvg+8~MW)_nOmTUL4Xc&?fgE7_Lvl14F1J4Mc%dLv
z`Gvd6;a2hm`P<dK5!khfdB|?=1D@8i&&!KL<F(t1)63zy4fEpb>3S5O{B&o@Ri{gq
z9L)XZJ5kl1x`bP3Ns3Iyd(M7b*5iT$Vgt~M!I5QAoVC!at8SamSa3>~M7jB$r0!Nr
zsO~<Y%8YXT=s8AaxpkvL^%=~WVP6tz`a|zJV8n;?K#uWBC*|%`L4Ve8b5%oqTPG68
zCMFQw<kLXWw?j=}nRd%%&e2yCHz4{Aw;fLlu93$qiOX9pb$_UZE8Jnr4DZvAN9a};
zo6@Sv1S#RyZ+eObpRbP49(hHjn{7k!o9!fPY=!}&ZAZGbmD&%9cgCTNIr0duI+XhR
zLAHDaZ5G3d>>F&<2J^`n8<-Rw>i1t=%Iq*+Eal-vy%@B{8!sidv9*zLG9c7gZG~wS
zNfEkq`|!8#Al0=RZc#HE=tsbea=2N!(lYQ?=Zti*lXlZ-{s*F>m!aW|i086#p-q&j
zu0#p&;*@SdRoFWu%lH&nn?~?d63g2y5|dx{IZ@`zP}33RnP9_QMTGlD8Ab)airDAo
ziuX1!;j6D&<-4;`>^Tf?4)BB!ndM>}x~@QjuUQs!WVc9dWq7p`!XU&gFuxX-o(9s*
zCmV`m{BlkDQYxoygBnw6<B>WxS3+La`;6#3Bew9*8twdyg$Z<jD99z#nsYTB3GUuQ
zdeZ2h(eq5=EX!f>OcRtigxRNs!DhUDl|8@gnW5J|+*~6(d%i5KH0qyio`T+43E#tE
zjNARO_pVz6W7>@RyG{#G(O^K=ia=x(oNDUz@2&-53BWnuIwRKA<{fIo41d&zqm~UO
zw1F@8@0KEZWf<8Aw<d0^e<y^%4mdEf53eYO26hVT!f7hF>Nkgdawd!5E_xs!sk(1w
zcy$<b`3YdQ1e^9t$A?_v7mN35#=bAYK7S``NAUzeDnPb4x;E5Pf~o;;i*{Cudqvks
z&ehax*rfE&Lh-l00QP#v5>-R;eFR8xl7zaT!ism2#xPpVR<|aC75!!zywOsXr}3=B
z4V_<4GX-(XQliPVY6~upZ_=%<kP_WCxYQ%=%_`A%<zET7AK|<v`6MOLwPmf&T0>$c
z8zf4Fb#;Ch)g5P_te_j@sm}SP25A%J63hHbTala(4m<_9leE1_9wh<4Lx-X3aJgQo
zP|#G%J*;t7!1TkAcktv79w1dAi=pfiP|gZ?H48*$0+qz)#XXq}m}2}ggV$LiVDn&>
zz)dALL1eDORzbkjg&A-_RORqPT{++#7(aU%rEw?2>C0*LV2H-S#0EUf=GEZPBXTnK
zjEJRvN2W{oD-T@7_C}@IDo^GUP{O-Sg!WdQvMUX=<l^>L*32P%^RSc1s@-G5@KJdw
zit$f6&H6R|s{T@x^n2y&*Gk?pAIybk%=g)$DUTUG4&CAQPRMNDNPrW=k(|PpLf@B6
z6gk--y`Ii8tG89PZ5CoV8~B7(v#sANp`VhN<R<<zY+x_JFn8vVb7=+#q9T`}p_%gh
z9C-2mY2`OW_9IHDUl-(KO}A0ya^(5iGen<XY8tyK^0$ZjYv=m9dtk4l$gzQ<q^s~>
zZ+-$eF`>Zx6K4M9H2W{X%s=Vze`DsK?D(&VCoB6OxA>>?p7n3}?tftBf8G~hv&)Lm
z@v3qJACR$~)<x(W#}4XFg_#}HpSfb~u|!kt@kfy~OT1}HDBfwSwipD+G78IN6j5we
z0v*+v@5jXxO6-OAYuih$-^Jv7@90U8Nt|HNRJ$kkZ#8fzf`X&)Q^!9t7dBgyCf8qG
z0Je^<96<oW0ak_pAMsj~vM9equCkK2nnH?TYsQO?x(<)UupV&4=dPWj+q(2;u7@2q
zy0WZce{CseNukTRB||wkYhX^h)y3}Br2-lgMEyTSE||paLhMHz&|nSRVIX_#tc%}V
z{%atHDBKT+mfT*f#A0>8X&43-%B&j7WcU}!drC7u^HAX;UWDTSeWGbC;$?`HPZKA0
z2*eIU;GiJoB%}QUm0siO_YFr~sH_Z|Bpe?+Gx3Ejinx)efdU;>_{5O4_I1wnCekyX
zzH#-@fR~VwGlulJb43_M=JmyQ5AoJKw`9zIceZ$7fMNBOL}PGOfW%R|q}Etd%af=R
zT=ja-du3NQBsf<$BtL*#CgcN%tZTi<OUN^RowU?yBpha0eVm=4GZ_j;i-r5Y+k(1R
zqwGz{Lfl{5f-v3e=nC=iDEdAVCDjoqoMntCT?SH_(_ZY)W1`=h?E~1ko3S!YQOw7p
zQ3zgIq7Z~1oI?qqe$Q&E>Ypl0IKio+)hOnpxK8AJk60C$N*CLx%NBi1q|dDrnVg}E
z<k(h^UfoS5y2z6GS{GbL6B#gY(t7D?9dU>`E~vr~Q+I9{y4D}vJpx`0NEi!e+T7f%
zB{7%@<?G+r`JHHyo^sCvTN_`tH%r_)MN&on7#>n_!U@wN1aw6{a-y3kpzs1>XTG!5
zf}M6CCw$&>+QkjUTV0y{yb)U^@zHoM>u2ew_zSllq7v1*k|6x#1rn$tr>lXHV$e$l
z{Z|)4jF^09%Fi9?;M5$5yjPAJ@U=lB`pr-L6nD%}`+HxdN})=Kk}RY(J7Byl4{$#D
z7TYyu?_46E!ry#G7+I~ItvV_`iXks{_aDG4@3Ik}<ri`w^N;VbcoGIuEum&8X_U`0
z!*xxIGY-gZfV)P;hDB<1dTlKPZ5?B`KR;6Y%!9QdVa^mmkdf7fpG-G0O)y91Cejf`
zQB2nH($C-4uExzGML#76^oHvBD0bxv`a5Io_)IZwy$K;cY#^|+u5r>LCpg9-TXjb<
z@xM2--{$ZH8jGN*KYt|NUEs}N{;1||K|H?GTHK66-)JaSUtgj{tl;X29C&$c3u>6+
zxaY!g(^k5VU0E!L2vU>pHZ0X99dYMGCN4(@{YkcjI2giMF?4eyb?OcH1J~eu#MUhT
zNuV@~@L*i;h_4swKq<oswmI2bpM7kTO+oreyq0tS*wAA>Jq)@+zr04u$<2RWWR#NV
z`zf9gMpMkQF&3kO2`yY|!IY*_&Tv@6y{CLgwr8-EyqmuWiA_{O#sD$2h8n;jPXPXT
z4t1>#74tXn83ohIvMH2!2>q!sG@MlYviy6iZ#ZV%@)Dh7+}=FkhF5o~^;XLm778R!
zPpLmhIgNTN+LtaYCid;>l^krT)J#N|h=Z*Hp24ywBC6MO_d1he`|e;+?0-s3Z40nY
z<kp;BrJ4u1(Cm*5fq9S+=_Cb_l=U7<`ea_sE|l$gNy=trUEiu7OB>;eJx{YMic2C`
z6*qCplZTC6E}J83J@Jk&o>Q!4$_gyES?07|5IizIw@0m6K#m!vAWJGhn86(aQfGDN
z3*LRjRWXk*HnTZ!2q;?yZY?p3!`Tlr@grI)PA~-M$Q+fEq|@JsX#`AQ8go>sAswS|
z;g<4>B;o9Ga8*N&v>4$3VA)}0J2y36RILavf*xoJ<hdWf;ESv8k=5@N=<HR;$WscH
z-f7(iTr|vRn<FgOheYk&6KPmKfE$hEXGMMC9SB}VY;;hM`K^|i$c@%``rOg`78aX2
zPQ5&-4&`(<SfgaRfhkZh+2ttfm$*Fo(L~i4OSxv&4Y6Nyl2GAj;AdXwOcy5`l06c}
z5DiJ><tnmwZW)m*TFGw>47{4MJUHySPPi_$c{7$~Ko$W_$=Nv-XA_i}F2ey+qWv_i
zu|p<vH6E}z*W<B#&IK;u=2lGo>Za1*%KI}X|30&)pt-Gk$DWbT&1{HT<e)Tk4A*%^
zUv7Yw&&@TAWWW4uZ~tdKO6n;kb5LE}0?7VO#3!-79@+O&iNWf)q`~PPS=uw=^by$=
z(|9&clEdq@vwRu({$L8+XTe<HD#3hok8h_GM0K%a{0D66r|<W1Y9sXXmg02{dpQmc
z)FgDaD`&*ry`YrX8*HF<V9WLC1;Cq38>1SW@KEWp1g*Q9-!0eEH^b-jM_)SPlEQTM
z-$^NBm52A5gcTM0`MpsXZEuWs1cVKS-Q4EO2-%q67HBpbcC-4Cy8PEK+tAKWX+kYe
z%Hbk`By|gTX=3We!k~)<cTK3FZ|&>GMlDD5#P56B){t&@keHFZ6~jV}$ab;EM)z}S
z&y+Ohd+_;WMqmb`n24hrRUT-$OSV2Y>}HLOmw&StKxIfzYvL-7@(w)KN7eLhUu|{@
zIdk;>1H7>QovZX;Vb}VTN&XF9{xW8LtquO&&dmD1#Xng+D<gb52`lD5?(&D5?bi#{
z@A~FO29AFmkT$Y5aWuteVEvZ@_jTkSnh5_mQPD}?@z0ATtn^Hb{y3syX83g_Bio;U
zSlr0W#MBX=_0JcAW{wVWM)pEBR<<_QM%Iq_?0=juWMgS#uV|}hVD!~vFCio(sOMm0
zi2tXJOzV#YhQGTG(>o(kI1mPOE^vLf7=ajxX$=)4VFa8B1qlWGe02+?d?AE^00D(v
z03j&^cL-9y-<nA&KTpPctbQeKJkFZVpPWCqo>BfT)qG%vBnUtdg!upYq3XM6!?)IU
z`-tcB;q<!GU2;muI{t{qhsW#f{P@9FR5?`2PlwCrm9pXXdChdUKb!PvYgf8J-_XA~
zs&Xl-0B(m;46_HW?jNSOXrzRnLPxuq?~+Yn8dNY6bdtmTcJ2<^kXy^`^+8wpTl-s?
z-LE=nL}>=n8mXT%Q;o?i*_kl{kX|wBzu2s`sEhmcDW(!yio2}4Wz^}SNgQ7$ULt#4
zDYM!P@ZL@aPEDDQfN=d;Sa5y-@2tx;eRg^a0oP)zlI*6;nf5iA@~`4ELrzsVgRh7F
zL}cXO7N|O(vG2XKmxT@FyP;hHr|IRuv;hr5VJ5=;Rl4IJreBsjp3`YYVn?RXtco02
z^XxSt@QBN^TreUXB%i?)IBij~<7Aqm*bV_3M6#HgO&G>fVm9sw!BD`{Oh(_dqw*UN
z(0%USgQL2y{eDPucTNs%g*9hkk0;nV5Jj(&L!v@d=vd~G9%Tx(I=5^m*H&c58y1th
zBH6*APc&O+H$SkElNy0?ZbA@nHh}>QuyGi)XLDa58>Ajd7*jBkv~<|n1}4I4q6<j7
zdoHduU7yG{ya6z-5ZVZ!J^Vs+upwx06Y)g+q+y%W6uJPBDV(*raA)uPglbg^Tpizt
zVXzHb7z=i~)>;W{DvHc>ra8k<_AXch5?3y(ZAxl7lWBTz1&J{*K_5Q0XEN1gOaoJ}
z<JB-NI#I^SMy00gvLF?}a@g--gdtZ$FiO@5LcxqM7LMCBfEOHEC>k{IbL{kSvqxuC
zI0Lh2n8kW9wn;UMK5qKPUgq2;KfS?p=(V8yYi~-MM7!>9v&(={1u;S}yR-mK%ozR`
zZqw?vYIqm39}#yx7HD4^^@jS)q^#kX^7<Sywz3kvvEg7>sRGH&_NO<@_9}$2;d-16
zD06+e3q$$eZguCTB_e5b1&ETxCtoKr^@<lZoPcyR*e%Em=12qGY{_-A=TXZv9T~8O
zP-z&DDWU0hciYep*LQV{W0z~Q-<wF|&JDv;7sl$Qo@TRi<lfp;Q-fbMVh~UHnSL>e
z5Pg-pav9DP!W5#n1cfy!b72^CxBO}(x%2z@QKR|>^30M8Elww<zM_s|KY`gcIbL1g
zO|3EfWl>QK=0Jt<VVK>3ngqQ!WgJlOj%fLMSEjs#_Sa*lrqD6-NM`3VGXypnfeMjo
z08x{i>2v!5ITCCi7?H8cr>TegE^L)^YvmS;h2N^eaztVoZeZ!^^z?t3fgEONO6(33
zw{NM~2El=cj!&4jnDO9%_?Ou?qwl@scunE3#QDpJ4Re?6!Ip|Hq9xd!van>g2zAEL
z&Ntsw!81k9a6w0Ei9{MZ*|(>i4~(2SEsDlet^qjCzH~e{<94gcXrSx>GCW22ITgEc
zn^D5OBps`gcUs-s(OIQxa^~`;kz@v;`Pd7vN3ys_w_7G=F4IKrgjQn&gvU`g&@ihO
z;I|ycijszrJZ56iYZ)EREQCtyT`Wb2x|&xB+h-EA@7iZ#Ej<JDf96gcnJ$FJ8QV$J
zHxhFD=_c&ht_?jpvBnk}r(;EPCL?M}Rwys9iWndm$W6P4en&GZX(Yt%&SiKe`&Q?g
zu(S8dx!yE)#L1TJQb}PRkvPvPC}gqrD_Gs!(Llu2&QIwCDDbN{K)7&p!vVMuw{yTM
zkXH!WY81u4k{IV=hKT^j!r8Q1QfqG&#4qRRsRfWj%)pe{ah3!ogR329ra=q5z^{fb
zlnQqgHhd-Y3c^n*)L=l>UAIc3rEH$q-nwhrrmA9*KGi(t&@n{L^5=@SY-X$3Y2#71
zdVX>9*B!Yg`0b4@h{2bIWMSFL%oxlxaCulPRW~jI1OMJy2<Z>A%3sf%zuC{+`l+=t
zJzR2FKBE%Q3<pDJI)VEC{m(i$?iTuT?&<KKp5=eJQW#iRIsX0@|JMkKoBMw}=>F6F
zdG){Yf1ZGhji0{bBjArJPjC2P9uW*tSj`BneKoDza|yw@l&mXRQq^Yk`PFP_(Q<sg
ziBBBeLZMD=f^O=wp1hx*+(OL_&hL+(%ugH?Bg~Bl)ui2KBihSuxEsa7@tSxmvNfHY
zTL4@+g0>O@kOCO&``vRn-D-R}md|0FYA0xsas?Ku5};3<NCJ}tZ(@h1Z)GpuA`{;3
z$4_9*<i5K8V15(~kcM&EVogP?cEGHVCOpQAh*O><<2Yat_ntaepkf4TG!g?+M5<Ug
z>BXe^2KZUEf7?D@M#AZZ(!@hpz&H;zYzLl^&d;t3v8-^_Df`Z@2JyJFU+$bTgjv^D
zXEwCZk{c!sw1;G9pttBvV%5KVbCDmh*O+qg^D+*CVc^sk1uaIJ^Kf#ZZ{xiESHFYt
zj@$V>=qFXhen{0S=6hDWz@*IX*O&X00dGna-jdFFyfU95<IeJpj=Vy?lIzZSP^cX5
zwM&uAngXwW?$|G9uE+>@(Bquctd)`suaFoQ9tze#H+0|YBsR=_+LC#-HWSQRKLjZu
zV;t?n42o&FAQLdCB|}Haw?X{x+{kFVYr5=54(OgZkvANUk&rsqZs^V7nS6{enOqRK
z7q=<WVs067(jtqAfW6H<9Z{p?BV#jugPr}|F5fMHIXR{Dp`F~>-d}+WUB8!_ur-Fs
zyhhURE_LE9RFk;}zn2sFJ1k0F*&w1`kcoUFS9}nv{~A!*VbUlIIbzeW>w?fxV}JGR
zsx1_&E|PBiNG3m*?<lC!9YhvWKrjAfCfweP?lJe3I43YQK^G85gN4lI3m*t`;4f!@
zTw}|}wj>T6DUA;BvZyEwg&QUE8k>O-#@REd7lTY4dhe|}UaES#ms20a+I(1r48GhK
zIVymLrhhUgz#5cyMf6i%W3ss=z2K$6!bhh8FC#m4mf>1H3~nw?k*IN=aRD_}MUGT^
z<vBaeXpu#f?&u7`06&qMJ34<&jbjuUnB}o>k<O<C{=IzIp#>qA7Tj_dj3uLN)r0pq
zDUT5HWM|J+T*ypO%@~z*wFq{l-{eBjn2hPVwlQg!8^Vk;Ar-c1d|1QYPJ({w*+sA;
zIiMiSVTM)(_H3U~Eoh~-fnY1%k^|a+B<f~t=5Y`HUQK^L;z24m>Do>|rqU}!xti1V
z$vDk~m`lhWUym#Ic^WWq+z+0pp9JqrQCf<ZdXFuZ2mh-Vfvhv<J1!GKItnFM`+B<4
z4W~i(;ZhxCzKA4i<ux)|glDurxJ5HRuNbVSeF(2Ki=ElRI{yr{G@P5Q{HbV0y~KdK
z6nrw|3ZY2}F~K1zQ}Bx!Ua&HHk#h~Vhe#|<Kl7Ja8ZDM)<G9xDAX}4=eG3r00hJGC
z$D6ti>#%P1saR2*g9P2>2Nxu7W~+1Roq&w|sH|j|zf>Yc@a)P3uXI9=9W5fFU$zKg
z<L!|(@eoo1iV$WL^ppsYq+pfj=E&nOfSIhKMziDQ)Ax>rA4Crn)jh}omxWk^qO1)S
z_gH%ke!Tdb{`HVP2fYSTg+Fou&^l!9(=cMO(dC7PK(m6j{A4{LD~0s^lJiQ$ki}AB
zXJ|xiDk4(Px!cr`IpZ_?aV$i-Zd(gI!kEefrbXHNKm!{YIc160B4=Q|(uk^lAM2mG
zU|l9B!}SPWnauq}AOl6O8Q)|uk;X9@Ixt<+p26UR4I@>l9SC`qGG$n~GOtEV3M)h(
zkXWSFVz%4`S06MrCommdN|p8wE<}TfHM5^F?!n0`39^}ub!M#pMnb^7t5zP{l7CtU
z`;!#_M3f}v?PO7-sPdyAVnG$FMv*H&+kaJu$UzHvJb~I!p`Cox712(H+8_hzjQjtg
z?kxlASe8X$EVu@j0D%N|*8m9~+}+*X7X){A5AK@a?(XjH76`82g6w_He&5NxH~0N}
zKh~_4n(D6UsjBX(>K;66FX~o+a;*X4as)brIWA*Fjw`8YSqP=m==8=kZRmu59!QYc
z?DWn+f6I@#$qyC_iG@5jQOZ@O@3U-K9&Wzvg{O<~?4H>&Jk&+)g(nL;b{hAs@yNRz
zY;BGc#5Dw&#(t)5FvHB7^TTH0a?VeQ-U?4jcQLYnRaF;YL9A_zLQ|?x7Q!7aKLgY5
z`W{moPd68~qo?**7X&gG4K;+V)lB<^d@iix>-x7`z$mt?27YeJ_syqGYdgQh6Ig>|
zvg?LU`3&2xCkX8`aJhSeviYZTYde}N9>cn)?3~9AeRoSQ7PaGcGfDNGE5xdu;pXWZ
zPqX&TWBHvc8dF6|i0f9479_n<@YpHT$r}Lw5C)&F!K)j~{GWGvcI%q={!G!go%ZhO
zCBu<spQkyc>v+D*^j;W;|0LkS(>zAPG8x=ti$3q%deq8{TZvsIj=A#|pP#r7gE8Rw
zVEv#5_;yQh2P^ISJ5Bm`)aU;zCjI~1|IYHaSAw3E<=>y*VEyO*cX=5RLNX&eJ1Y)a
zT3u}e1AQ7DeH&AKGks?VV_RcO3mQusLvmPJSwh-pNZ{J^Z^r=Zzl{ceFQ)k{EG+GS
zuz#<Q#f&XXVQFQ6>uW+)LV9*)8b$_oLMC=r8a7roLIxH(8g_PeLS{NP8g>Q-LUmZ$
zPe8Ees1~~C%tuQbJ$;*hmhchMzjR#&mR1<JjE8+*DgUcCf3N?aCpiD4NzYQ(md3)t
zSkG9SM%U7uR!?8w%1mF|#=_XbkXFyo>G!n#d+7g&Hbw?E8a8?+LMBG~7uuNV*=ZPo
zhZ`|5G5jxRdvU7#j<$bWG5$SyV|}qw{MJVCJWBtvAe1N!SS)hDFO4YfLS>3(r}3h+
zZX_z(IeLN~XYLm6>W-lqJ$Xn2<BaDNCYX%C_=r_VkdTnxKd~w6?>>3vCGY{<I3Cy@
zgtF#?vBj9nNWOEF4~=$Kr)x^=-0ck^*vcp`@sw$lhybTqsr210_8u}PE8}IRxZxB+
zU2$_*KbSP}r@&QM5*b75hFPYlh26incU+u$*SB!0pKz8Vey8l61S2oB`+{cYm#|06
zBJAgt%u76N^o3!N?sd|SOeMssflUl8v~T*ohiXR1@3#d{6R8&FXm!AG$V^FD+Cvk!
zTW!1QeV~4DC`rBz9M^R-m^c@^#E$FdE2)G-PE`~X`av_}#lxFTkcOu_nf5?(@iY2X
zjHb~V_7md=^5y!{mMMF+8GVnM$HGS*0Pv_%QVgq(V(AF`>J;Q+A3<pp%!t57Yf$44
za3XPms;?gbI+Q9BbUWf+BOPbwCXq!*2pGsCO8im>>S$bJmN;RA?275JZLYdg#1iNf
zaEC)f*c3ra(OQiXMmF8$c9?_m_*Cz`iIS@&rn)nfKL{M3g<M&~mB#=*A4+p0msHit
zm#Y#M7}1w$1wq;&AtL1q29(4{-0zFHCp=jYxvd56xN7$ofk&)<pPZ~hQD{WCYVUeS
zR%+ABl-{l>Jx<m5?i8~dkNO01&1_kpKc`Yz_Ct)DN{sX(i8DgIEa4GhYFAvnosKGN
zELJFXabEKzGP#%zJ1w-#By^%=6;t<FPo~nO7PUO<P6d>pUwD5UanokptGjnGIr3vg
znn+1W!8nODUn4c^(Gc~bCN)ZEIBIRR68$pLeOE<b83LP=6iUzF8#EF&u}_+cUvXi4
zKGdF?$|ax$cyLdoLp4p=kC`1TkhzzfcO4}@HVeDgP*<xkRXEZQ-6*}L*w8c$qREf>
zBD$uv+Zx7ZwxiS|-sZAw4Z>j1XS=_@|8B(jqKTc@cLZUF`to=YYbxW%oEy8dX05tO
zQ?Ts%h|US%YWC8Q#;-UU+-6r(5tKshN74s-n;>^?%?1A%u4%x5e{TBtuJ}M3RXTME
zDN9{7<F%E?m#nh)rP*)1Ty8E<h}4hJ+MTgnRP@at^QNN?R~JPdc~94xm#*&Y^D=%~
z9!rAZaGUeq=3_y+SU-}CVIs(=Vq>{byl-@v%MC;FM3BivIP`EL7`rHqejkC~!L~H}
zst%fLw{^L`ndLwo>Gb5}L{US1SS2)Uqcvfd<n2x4<EvJ>vbo<VAlAQKud1;0FVa>9
z`2S)ggjN5y;QMzN;Im~>M&H)b-bPp7mhkyzndhQkhEA!!OqJsLKuP$~(uq*@`9>Cc
z20~VL2K5)Cq>ZK3Z!12U>FewLwnomz*!;H@Qrb4p#?F^$#An<un!y$*zyH;%PnH&T
zK#=FMXYuxbT6157+q3(bo$=qEXx6`#*|UiMMHHW|9Z*HRXeS{{IZIetenM6H7j!_&
zuCfXtJy5sM5wbGS0k0PJW@azO)xT8++rOXOzwrHc3XGkRhJ}!YnTdv#kePvzhKZex
zkcEYb2KWU3Om)4iwtpku*?yx)|A;O|b`~0XCidS@_V<hPk0<rtQASV4M8ibL!pKg;
z&iq0fJ8<H_!UWV|tbaz^3kknd%WVHt%m4M5F}$e0KN++CrDFayW(>?U41bLoE09bk
z8lc1DkH+k!`@f~@pDOvkrt8=F%zr}H-&UJH9I;<?(bLfYCmFw9M&N(}Cmn2mI$*ze
z?my>IZ2vSA{WpZYh@n3r>^DsN-@S@2gfRoBivM6TI_5uSvX}1vZot@o!|cCdvcI?T
z|Bu3h{hxE_zn;_oOcxt)%KPsDV`iuOV-9=i|8EKVGwH$nvN-tXfHBiE(6F*G{-^X{
z|G$zR%q%Q_G1;^5U}k0hV<uyNrr@`v{h9FiPtt%>@Bf0d|E2i&B^a5R>Hp@l7utXe
zmp|n*_Wx>5&;Dlugyla3BLf>74L$Jf`ww--{=XC<f6>Os@)xVUkj4bmD1Rs$UnuzP
zu>F|`c~R%U1K0j%R{OsaAq@1tSnYWs#zx2tT$uf-G6U-M-@cCwbbls8{*y2!Cg2kH
zH;S5p?tdvo{u(nn))!V|r(vK2vKl?hpR(F73Vt(Y40L}cMSkh|e~uXo-S6ih40Qij
zQiO?};TNm@MH}7odisxa^)C{BOWU7`5qj3=;r)Xbl7a4jDMem%8WSt)3!^>1k3b^`
z8|$Ak8Ux*bAwz&4cmQ_zd6xV<Y4|I8fr0K1?E<N(17UC2ZTzlWf?Pavom)V_L8%L>
zeprAU!I!~1DSX3fd1^n69(*U6X7V^T5&AJ!0uak;0I|`%+R|K$MEUgOXPI*o{&cew
z?*X`Ja0?x|>sby9pAl+H3>hhQ>o9z}3a4Fh2i%0GXH11(o*sD2NT-$%bj4tlRM7zL
zZ+Ch;9>m>mH*Rll$NHf@+*p)Io;~!;gs*sY2wf(-0SH#q-v~!+INi)WonEx?xIgT~
z^SE=<u(+V!#R3-N<v#2$yw{&_Gd|O-qv`AKGmk4{7~bx<uS`!PpDpH4q#|*`W4<1d
za9JY4A3?f_GSu<tf3<2{cl49sCnI|d+|LzjcM?qeB)5_44>Xq_TCRrp@j831`)&Z;
zGY;N&)R!4QbrW<i-{&Hk21!<M3odTOyI#Iej@m-WmHMDY$NWC!9N&%d)1nT++Rl;R
z5k^O&0FOn*O67ukT0Au=bMtM4*ZpdeW5MeBcI;d{<=v0~sueZ$fDy#T3|t`NP^6<%
zLQ6PnTYt-^NX2pGw!7e4^X9;Xyl{W~5||2ta;{-7*PDv4d$+lP2v}SVi2$D4n@i*N
zB6iwF#7x;OYkIJRc|C|q^YEgZM?b;n%CBRFK?=kpjm!k#pQ0HNqGBnyO+-mzLuS$l
zs;~)8Z$Ai~g$^z=LHomF3w#riKQ7Ge9VIGzqj4yPq~g{4Ce38ah#p24or>GTzT2>_
z2yai?l!<z^z`%XdgrU1%v1fEUv`0xflF^T3f+*(8APBrU$-r#&>)BUM0br1n0uG?d
zLHiwAzJoNaoQV@(F@kf1(9PFzHOxlBRm3`se0wz%PxLLijQV818Zor3*I|$-FDp*K
zrkQ48A~*I)=g_(JlCZ_L|Hw#Gkca&Q9UU#Ief^=S5X}z@c*J`ry5FD`i6OAMAPHFx
zwj&tF%X3XF%P}^(Pauch&4OX3w@Sg~3HT{V3Fe&wy*`MvB2n!CY6CA}1?oWHmevdl
zD=XhMQ+nm@egT)qZLwYsz+08xAT4&)Yw03#g&bP13lg;0X5{EGC6r<cu+L)#L9%<n
zgcu6QZH4URii80el_EK`od)Q#lK2W%=ha*x6tT_FnZ8u-ir%}ZuIr$sdcFlS${cP5
zmK6&tlvw7@;ZjTkq_MGxJV=7{rZ#6evG`$>fl!bo<UmXxDM<FILLyQt#ItBWhUs(_
zoeT6%@uzyC1hEbmo(qum0TH6WHsXagLo;LLeWU$|&YD|z?pv!#vVRynnrY2(_pwpL
zIz|4LNQIOpNmP?RIRuUZfMU)pZ>Y&n+H57g7ra{ugd(apD3slUtKijhKuM>aA-z4a
zL3^TCKhIOd5_6Q=B9C`@n%YtwI$2ltxS#ebVp;lrO!}B&F?;bXIc%P{iGa`NA&U*{
z&2`by1`iTXqfWT3BU8A?)xq_p!B}v*OlD&ets~}2IS4AClRQk#6F?J>JJJ*FtQ=xn
zcb+n$=A$2m3u7pOhl)J`zOGMlDSrID-e$WKx37H*c_gKlh_5zbF|q@~%=c$qS{*#9
zn&6EaTcR_gAkpnlbFKL!=`T*r2%1_>sxBIx=dbZK*;o7qs~NTiHcWTcpx3Rn*rGU_
zr8TzaLe`)kuLT3YA<3#*WTl*d%Ti^NPyYn;-Y3!Ht@EX_Thr6w52v4iGZuyT2j94H
zB`Vs+-o^Gk49Y7_XMUN#sp}0f;YPQj{Z<fy1^kmWZnX-yWVgwrGg}2arVkFXn@kxl
z`zDsbu#p}KeW$#g;MB}Cm>dS@6d}UM%b>!pk<>^Cc^d}f6tP$7M6t@3D_Q}jr&8k+
zjZJL}io_s-F(%9GyRiZHAs}(^6<0tzGA{PX-Oa66Ep#ND6Ew<pMMBD+8$l)=6~w1^
zyS)OZ@UJngP*f^{w(4SRV&I+abY26|^mP#Cg5gKif_uW%Vhz&y7JPxKFn~>O`-DNt
zOYiN!-U+r1h95Nh6ok!%M*j%hNF~*E#xt@?6hh}z@Wr2EyIBVkiMn-i3v9V^woa|J
z%LbJ=9<~-b5vx|MHH%tj$p$oBBIK_Bm732WTNgZjYQjYtoYT3^1f_vh!ZLlEf;nx6
z0d2$Gir6SqBrCv6a68c<anaG;!0q~Safr<aeq?~XKIid{X>6mn&rX(G68D}1>P+Ff
zYrvn1n9&03wEagC5x)_OWAutgZ?bwrm*tFn)BVGSXJG#77bmT?3j>X^BhlpC(@iVD
z%u;CHbs*0dXf2N!O{jHlLn*N{^F{{<^s?5AG4zGV3~8FLq4D7vQ}4LIlp+kj-$7fA
zY4I~KB?k5Q82e=mWittdeqE=!evET+Q2l{P;pRc+?iDmbx9-BQMaKlx0d;Y_(qoeK
zKZ8#q`Uh<onG$JKtq8Fxyv82(#7;z00({!MaQj9>RzbXzQtA;jqrR>SWzTo(b&l!?
zf;5h11zC^Mi6ul~Q6Tz?%B;yaMHYOZN0BS`ahO7&ljDM0=sxcpHE?+arijj<n_wI>
zW{OT7pDHTfIuKE&9n8R#Fl`$b*$h~>+Wabm{)64Gl<M#TNk{N|CNRgvkozVf7sB^S
zTfUGefP0KCvW-{Yh>@<hw(tw44Q3~uoB^#c29>;55G@0PgPeTpo5(<&*&_Iy4)SJU
zKY6g=*o?lxz@#RZC1Ps|ZqU4Un6YVJG+##vN&>%24JVRCx|*_?JC154C0H1<4|7eX
zU?^k9+EsWC!4><Jk$koIe4etDw0=TI-UZD4^JpTPmAYTq@P&^Pt$?9StLI*hj+$g^
zU<F4sn7bGZ5WgZxz8EYUBM?h#IyqksX{OMjBEEvlE#@-MD5hd(AN9UEiZgPqgJ!mQ
zbMO865_aG#DBGh8s%7^F;k}@n1>^E7ypEIfT9PaF3t#Qb!03Y-ECSYR1MT4VWO3+&
zZ+oQ1I*FKs6RenmHb6!?6@nD3@%*^krKJ0qH&lq5K&1O%IM_*DKr^G77G+VN(laun
zD3^s+(rAY{lf*yfXd#~GXGU{(Gm*H+jrCQn*KG?*-<abBg=J($HxcLvN}n$Acd9x!
zPo{reZ_xfO(+iKDdPuJl@QzNd6YrLj)m`p%Dd;N^?5|?aXq~!R?FbY(e)&cJy;ep!
zHCDEI-=-1`_XRqI0z=O5e4|aDil8u&ILz2XZG*VZaEek~ld7#ThRNVpy7EA+#kU(Q
zs{Qr2P9U~D!clY)3aHQc@M;TXurg;l0aE1f&Us>&6uxWH4hujXmvzWegyts+lPD3|
z{zF6z3%f9BH#oF%A#)t_Lohh0_m*3>qkN~AH3h)as|J!;39hM#2oVo*U<|W?Lyw1f
zAMC<{&d#Lj9G!p8d>W_&R62c8D#sgMQ$tk9?83<{0kvNR3^aweW#`=3ZZKiXkpc7!
zCa8Q3G8KI&IfX;wi!wV-LiWnsS1{CqkX!24Vz)LTqX<g@*0d2z!q$W@V-#B0LkjX1
zs~T$ceoZ2ZlJAPm&Udom04ILdm|3)XVqKv?UG$}JA$R;4H&7#O`fwErY6f5$XHM+`
zD^ydRQOeCofXa<6@>#h7K?}z*GlB^6Drx!8BUI$~fL(nlS4{<=l(5q0p9_4SV*{q8
z?N#M&iR!g7hnoXR3D*k8Fj1Zx$ed|VkIgO%+ptBLEh44dp4L>l^cgj|(z}wE+~{x=
zawuL1I<kKK1jwBl7h?lNDGa3NOr6c81H3%Ad)_<Dpocnf#XGWQl$Mk03UH_-l4JDe
za$1RwRTJg;2&5HNCF*CGX;jE|_jA2zAN(f8V#9w}$~8e15{rEsmM)_ZgD41>;~G;!
z>D8~4m|ccUAs`)YB7{w#zW|%bppd&~mE%gLs(=++AwpG7$^3b)7OVgW9MwO2s6ZB5
zY1}14zMw!CThUc!M4|r^HV=5qA!nNCTsc@_47FfEN4df_Vu1`xX#$0QkrFY-E3Ykv
z>cK-eeN?dTF|SpN%do@FMJp7#6;cuTZq)0dszPF&IbBi_+ibA&qBZ5#V<|NUW>=>_
zTK1D{l!j32cac$YyzzR^c-lWFqcF&jH}SUDKQ?#btr81rw1mIbQV1NdIz`DCc+Fv~
z*tLV69<I%wcq<$%pM&Bx#aOX#2OT%UmWtxlsU(l{R*4t22zb}4P+6R}y`l1DlW!5?
z=sn9_y3tc%`80|thLDTXMI`b*mVfCcA41;jE*yq$gH77BqtJWT<JDL-QgksQ|Gtby
zp!QBg$|Eyothx1R_CD}*ZK3yqNZ{t@Jr{TiOmS@6m=I%x@!r#YXI<^E6DQ^hK?|>J
zpvCyGX;TIdXB0=r^g+A9tBwKg#)Y=F-r5nLK9s>+UycrJQsg3Gx~U7jK9mr$zQlqk
zVkNO)b3q0PLX0S_AK)8Nr&U9Q-6+MmL$8Y%19ILqhk<lQ4s`3PxwvdXv&0w-uXe$7
z>by?y;<mGf=u+#bJ#X!T;RnU)&he)X`|4DYX&^MZ4jlw{Fb}Vs!aM2Cr+xmV3k7Wl
z9ekn#T?o0<G`VdEHK33-L=4FspO3A?9Fj$na5^@iGo*YQCFBRTq0~?4pb3?IXk+}^
z=Eipv*)3(Xk)GIVgT!Q|Ci21_v}dB`ehlG+jguT;i9(3@g&(h7o#TZEp>^>2PQ|@H
z-rg~wV#lMja(OY3qSHJ8QUl2<Q5v~Cm5kQW##cT!6n?yQ)mD@d_Rut4M;~7au1^9M
zh$|`p3oKp(Auv;ve9x~;N;4xKH3rau5Hl%kzyglaLSR8xED&NQ&B^yX>&s`xtE;n;
z;)uuQTYg~jf>hz{Lz7jJ)!qr56qBrnrsqq0)l9Ze-$hm+>1shuFzmBHr>bez^8lK&
z)MaO6vxTPYtj$;GvvbWfN6lKCp^F+)jZa{&RGPlc*IdlRXUslvV_LPm8S5$2alV>1
zawI6fGt<Xuw7~xnZV$#kdm_Keljb3ev(V)C_C#rX;M1KRv&HQCTF8(pS4uhbC&8un
zgs{#HnIY6gF$ooO=BHNOx$<IS%I=@L%4~G{x2f?ZlpqK!g<>kSgZ&w+i=Ei`P}~~d
zNOyNr;}6f)7Y4yBc!xW3rBoPCq03eSZ*M1paPH~APOfoc)9zYR1>$>wtnBK5!Ck~a
zGBle9HeT}F_!w>u;wNaEt`6*lY9KI*mmQEvkvD_<Q8C^MKWd@4odbDkbpx1JD6U2S
z>rQh@e2LM0AadQG7)Yd4Uf~J_pH!adp;qO(AH2lMp4daia-w|h8?eP-EWOb^<OG-J
zd^IqCur}&5$8{NNKSH)?u#sWAlN@-Z%X(T$<h>%)TAuuo(I~*R8TUv{D_-mB`bU|n
z_6$Mg;|JDj0N%q$__=usMztig;zGK9QCRZLJEpkugx3g}8u-(B+ex#$)vRCjj2O)m
zJQFhlBHogQL&m^Uck3>H@+R{l5`|O`hLna!&jOPP^Rt03=~iUL=|@4UsMHhs#O_BD
zeb+nwxr?FC0GRV4(qd826b$Nzdq-<$NhTx(F+`_iMAkD(*xhu1u!W^uE^N&d!<ofx
z=U2;x(@)Q&6S@9eZF1JzBj-o-g+$la&n84H|2sAinBp<E(W@x~j}JxATPq_2?^Bo8
zm&%X8Ms#BJu%%&wf^5;{Z!>!)_{&|M3+wdc_k!_dqucg@_s&b1WQ}10>hyriJACB<
z3c#4IDPIn)i`@`#*`-OV%ygRxHJd4_d5)Y6glJZ)1QsKGdmr1p>&a3Eys=7eVh;{t
zp;AJVa1lce2)tMf1fGf#$f9)_q<#i&U<U#hy)Ob5kE+V-1uuhi7oB$%&0Tt>6|*qW
zdoV71TpX-^w_Vh4*1(GesF`zky3k}^IOfqaSU`A8oO1vLQ16l&EWr6_F3&g!A*~Fe
z9u`=2Icnmsk><iDeH%ok<@;<o%#hU>BH$QDIXW=AoYoblM5|rVeIjv5$CBu><%%^g
zRxkU(r;DP6^PppPIa8m+eb}t^V+-dMFqf^L>wy(aL#+rIP_A_7Na~4|9MbZWH>4zY
zserIONJhkwC7@zGXc6XZ_hlS4BPsvvmo#cc6<}HDV&dC&ow1czJRPG&lTTO+ch!Sv
zDB2Z=C&RDls~s(*$)mnJump)lY7Gq)qG?mP)a;^(w8r7e=Lwe|=e|!Rf>C<dkq>$|
zx!f#}BV2xFfF4d)ZE->D(*?_0B=>ICIg1P(1_M+ul_*f@)vjF-1e}!uJB)S(BHbRE
zh@CYhg|^w;z9@8X&KKo8;rcn-vTnC3gKb3l%N27EsBd>4%C;I%5x~JDH|`GdEH|`A
zQ!A&GG=|%z=N5N<oRzVC)T^Q`y1`P#sw+Y(Yt+aX3a8u^KiEGkZq#gFh{CLmQ{0&%
z4v-0*bGaCNe<)9<sE^lHom7U;Cug$AUQV2#csE51ZCN=8IbcXv3|VYgu2r{c6yXT5
zCOkc-djsD+<$VFKU?xtdvhjwmHbN0|nlYhV)XKmqOiLA@6iztrqoe2Ieha<bfO-)4
zNz%Uo{Qx^;HdKpdg2PLnS(n@E2X>kJz9HR(L$P75&Q5b3*8xPkbR$k>TAP`gl<<dJ
z)<tUN@UICrijvceisc6&@or2OwGF^(BOQ6+4@oSG0ATg3#T4Z`0tDRSVPFTb;|))?
zh{;$~5x(7=VWX`qQ@kTc#o-qpgcw6Xb7TSL)N#hAv>%}R`40;}o{eQ@XmC%DXbBV%
z(cI`H*X2gK(GTuV89cxT9pIovg?Gb0ntXSM>@ud_Aq{Yc-!rLlha{eVZQa+i{OQ7^
z+8v_nUNniF0D#q~Gu)H=>0-ae9m2ck(qHXt>`R;Go0$=<PXs{BM$HkWX$OYoU!hRq
z-42;1Q-CcyzLodg%sTLz8N8X*&36W-H$ILJ-t5+_e*1V<(Iho7cw<x@QS$MuquQfC
zae+mO-Fuc#;O&j}%Ev8u9VGP7%@J`q39-Y5e6n{u#|!x>d@<-0z!Yu)9$$D9t1T+v
z%q4V1fq+L`n@r)G<<=`>4jxzS{AkmC@#~NCsrall?~dtJOlMel6?v~7Iq#07Mdqu6
z#^Y5+^D5?8O^dR2mN!JxE%FZ<s@lviW4|r+;E8`HQ&k*e)4lUExBottX{M615z`fC
zZqGEXW47|my#6L;sK_s+0<cic;$ke#QY>oIud`7t-S=s(*>(XQO9sQWX6QmMrlhDC
z2y|6lR~S+`+iXrlm1U;-YCGhJvo>@~A8n|pA6N@l12j=o&UTnXz>^1YFK){)w%-Cx
zh0jPDYKOkO)vpLu#T~lFTDY=K2L05pL(G~=ata`QzRu?7?lZwCysyumc!ysi(j*b>
zWTrA<mjrQusy=P}I{Y}BFHeMPK3XM}gztSEC5QO>*jJ`~ra&S8aZ_^~-HHtHDdVVk
zJQ96H#OMrH#OO-ZU%!gyG^M}D7`1=jEVsYN9JRm5>@!@=ub=MKf1lO`!U_EUVgJ#_
z3;yS}DE<3J|H2P!<6mw4v%SCD(rr?`34wx}`Pt*W@<u(q+N*eAWT|Ll%<oubVs|I0
z`?y-e6qmM@8<Sh3<%g}I3eTIxfwhNoG8fC+CEDZUyW!ia8C+LKbG=Eam{>QR{N62f
zf|1eM{S9mt1ppVH0L96zlOOPtA0wkd=5GA%+)W@TeGMPdGMuM+808F@LgIvR`I>q+
zfB?dY!`;JDz8OTMjsUJtV~DTAV+p>Oo;i8BoO|(W=jQBO8NDKRj3wqVQN1{YKwyZ}
zF4k)$OHu^3BF(>gH_lI@tVHgH*~^G_MEFWPQiIo~h&L_67`>PAdnuT+SCFR_u#Tw=
z%-OG6o={S%0`VA_i~}Y|O%y%3K5bA$7#gX+I)gB`0N%p1^y)0ctcdq9L?`rzI^oD@
zBkU&3{^2uBE!-xyvVtd&HUuCLeCTs4_UOH+OxF#(X^}7Ol>po8E{EO3P6A@)iw0ta
z5AEKEhcAYqQO==_FbU=W2k&FyqVR2Qtz6Ayq>Hc$mIjvF*aFK<y@H2Zd6%h4Vw-ul
zhYH}~si0}Z^JrC=qz$zQAGW<jHMN+nrj)UIJGwH*Foiqo^2afiVAOz1O1s@NVETs^
zSar~l<qWK<#row6b%Kxd8Kz1yXRXv#X7EW_dNX&uw56=7Q%d*aH3jCD<w`+V4h6th
zD8+DaL-hW>$#t&fz?d#v+(FQJVIypLf2^B^bAtGt*@^+w+~!xUiV?)c&hy44$=T|&
zWgx>H4cf5w$HhJvn5~!^Vl+v!T;j2H-3oGMorhNF=A}l$<e9CQ7^1aGSC_Z}+1`RP
z3(GHa*4$8`oxa+#hViowS@45{0XLq0#o91ci1y*EjiFqZG=}T(;2Bo`rMRP@JeBTU
zDd#u3xXM`v!|6UL4BV5!GbJD^{~Ruk%P?DU5y}y8TX7Z26S$vsGmPm6a`y@U)cf-#
zM?2BZtD~3e!^;)H>AB>M({(`TlB3+;mEjLB>0g!9PQdbTY9~SIH@bKDTpaJ$dq}vl
zzK2zs%TF>^pL8(79g-z0s&nh!NpO7|466iCrb!zM%~ir4VskodU|%@Ih!+i}RnCSR
zDlDO}oFh2fiM~63<7{yBMt?!wW@NPaeYixRPX*}+S-Y;;N{mn*|0-8c5n6a<mEtNR
zyuG|4AHM!XVMkuE6S$%>zHXN0)OE~|Bj1NlT>uPMu^j$UxgrW`6t>Zd{TOI2qrC6@
zqbhLReaxZ|AME5*h^#VCC;<Jr^7)c;)g~9%!Ig!XvP8Qj^09HyYI_Yv>6O+~N3zw$
z<AC<|WC@PX5X;|XRfvpA>}P&3D&XyBf9GG7UWvUA5g<21&10zF**L1gH2&dne|zS5
z^YjF|iJ|zrU~jg+J+Z)8yO+Q)V5}W5IO5q6OwaZb>;n9MajgOWe?@XVd*NT|Ujin8
zaKO-xU-`e_fWghr`Cne%=l@^$e)$h&{u#sfZ;$!^12KFrkLo3|@Lw@}zg&_3M-1OD
zN9412l7*fAU#Av6JFNfqSw55c_l|7l=ghA#n*ZF9%|QR+nSBQNYe%*!t)Q8<oj$+5
zuB9Gu6F2`SxnIebIL3d4pZ~}9Y&yDU9DnW41_p_|WdFw<+O+)o4#v9rGD08!kFD8*
z^-yZjidSs-RVGzoXG9WyzKRhHpOmx}1f=!k%0tRwwS7UfQK2IgRQX!7`!ReJ6v%zh
z-a<e`sX(J(N5=Ag;fMaziVXhlE$=G9Zso~BbIZx~1JBdbm}~7w-A>w0+UcU}aI~SR
z(*gSGr)0{RQV<6bKHGQ_kaFgVlOg?gR3ISb-@x7AK|q$F4p%OaTJeo7<If4SW{g{x
zQ$K*LHXIC|Jglnkcx=s43$&WUv%NEqY&dtg?a8KQe+B7uqWB0k&O&x%@@Vrgpm|{G
zke)U*!7>R62I^AJ%Z;l36-MfW3fV{pglUWs66Dey9ON+Gra7+&YVzT-=7W^t)q;A<
zBES?5<l5oN(vdyk^eAoR)*lsQq1<vNO>?I1L|xs1{3&CgG<;=B|EhH5-QoDcL&Ij1
zBuGo^l;*|UO~XYgw@1~?G}-Fw)d#@c<;lX`<Kx2}5}wo3YKE>q65vN$hU`-Ww~N@?
z_o&QvW9OT1Pm>CqMa2a~v>waC>av*mWo2dAkSwgzj1!Q12j*~d_N%R)p9t_coUea~
zG=*>SjNe&yOiO|!UV$Ecx#w<(0d3HCIEtLBnnIL{Dz!Z+eRD1UzO{78b$Ow|^63r=
z(VbAA(2cCBEseWjW#OCSiL1<o<9m@F(38HyhaRC;xH~<|>qEsbw%n_&hm&Q+I;A_Y
z;fj+Z9=_(t8bmxU_w~(!i5<DA;UbS>OD!Wkc$PXn`<tMPDN_~+RvudiYkP0rhkI}^
zZ>=`zG5QMY-fN!)O#p!O{e{K6_h9j1%3|ZafB0w7fqu&7vimg=b?yw$+1c~+ooWYB
zs0-(v;78B4w;Z}oKJ4^;iAiaR0B+V1O%)9kXn~^jD)Xjnl!^n^>(5Pk*)B)!Cr#WZ
zM=R5&Gsm^&kcn59?huPt;c%>%cl^B+2Y{Q$ir}l3B7g($tIcbLVb;o%)l-js$&?Mt
zqUx+U5Ah1sC*mP@#Y3c~gfE|5v$e^;2|;SXAeX39gnV5IYW-5`VWXwLcB}uOI=P;g
z3q$MpS)*yC2><*#*n1xeM0&h!*m;0^hL!+)vAnv%u^g0_ccvT}y4B%<$;sFCfnhaE
zLpNx;LefzP9U-2~`D!~G^n)}K1-g4fUX+k}t%bQQzLXBW+$}X>M$5_m6gLtmGVW^o
zh2$lE!>Oftymi5Sn|kW^Al-{ExZ}9FTGlGCWi3mx4smhin&MBG>zY-K>FyMi+ycy;
z2%sr5PfU+kS|bnsm>cA<YkX$|HHgs7OLuHXT&pK4d+uC(pDA`!q=kkt2{?j8oiUdo
zj$mC<AlaT+kJ@>+FN#?8KV+!C2EOV~?%~px?Y75W4;!=})DCFt?;~}rSys0!#Nsw0
zWqRTpXbA4kPv(zt6IH+5Fcjp_?iVa1Uw+aAo{xG%J@FkY%LAvm<%iAcU5o0^QW-=I
z>l^_vZ_pjGFS5A%baW^EGzCeCcY6uhC!iGl*jI_z2YDC6;A!!(AM#wRtVq$DSJ34+
zqAMQvj+;%dp1K}QFqAJetxYaK#e47^(;Gb>Zh}AMH{;(luWNzq-hNtO(hWxEr4+kr
zbxjc3N0}*?PCvXoFT~;dJVYfb#Zol=)a9=kA{0p4Qg?PF_x1hBd1!k(ExqmoE$Gf?
z=aa=<v%sKJo(F~O=7-yM6%RsHn00#9T-&v1@I+h1;^?W4Df?(Ihqe$*GE(0j9Ze|E
z!5FKZi=Re$R4P+Nq(nGyGe}@jk3>d~EheI>#Hy%JkY1Tt9pZL&?U~;J_sGqU^HTiz
zh~uPcQ28ZA;B?>k{qA_z9>)v;58&F`+a`?$mGjC8>2*oLo~fnk*YBSQXQzCGJ@O##
zl1Cxf&<^tqjIBrEjlJLzkS@Y6*@NK`V1gO=l8TO?StBoN`Z!Eva)nz!P=$&pTPlUi
z2B+NBKdY&wIN%B6qG0EPLwL7w)VpxFxTwe=mgHZT8xdqHD8&THwYPoaWGKGR`WjjO
z!w8G$ux7#6?}_Gs_99B+gX^?dzkv<;_zEcwiZiMwbVY6XkmKb9AwLrl1vHBLWmNQ|
zGA98UmD%0A*pBAh)4TQ+(Rr$KJNq`3dR}Vo4dAX8RBmEa05P??E~@&Hqrp@A&4M0h
z0rS0ECSW<SG%p8gKCKyWd(h1JAlcXg$9vrdw*K^a;%PNTMPf%&?22G;59(nlX^lSe
zEvNgb_x`p2wg0WZfRG3^?EO@xyHqp?zh1uN_g7Stq@$XoY>PajVmnCt9w*J?0t<5w
zhC+URk87VfIipRrrN=&KOFfw?V90o}z;7GsWFtY~s8@`~;`Bg6GciHpVyUXrLwM3C
ztJ6)+%uKCR45jBiz8!%D4V{}lO`4iJdM|h@^j3!`<8j+$Vf?{8-u-mFVZ0=S78gf7
zZdrOoRP(5Km~$PENPFDBmvj@U0^^COcmD+9p?a_d`PBcusGQ8$s@qc5y`mu6qmves
z<3#O&WdF_a%H&13PuK08dLX~g@h<K$D)yEK;|I0E@{O{>q9)3<H;+%brdiscpdLqa
zN0E+cV@Ct#IXQ*5hrJL<d-u3Uj)F5s`hJ~<$b9vjU%?l<TO?c@@2^BGp8Q2DJec>8
z<_)#Wjo_Lzou7Q~IUAbnGAbSw%6Xs2$iI1J<feH>e#icdt0X%jB`G^1tT~^}qze!S
zk0|{PngbwT!pbgyVwr^417qgn)ink;#n~0X6_yl@?x!D*Wg#ycyR7oGQ=8|#CFGXX
z1&j)K!wJT>wGKeG2G<MLcXzwAe#Yd3#5}jBRRhC)s$b_RIc(YC_b^U9pOIL^ckT&X
zh$l&Jk9d4rsz7HvDQG?rTdHQV)`EBY6R(B`lJ^$UBWdFj)0XD#N90I}aoK^D_R&@l
zy&sfMoSQ4kPuZNkqq9<)vYMD?`3>GVmn>lW4_+4zWGz||F*+dkzCxO|u5n|CEXx%Q
zkBD(H=b;F8j^)dUEVFGgJUE`&8q3|?oLG&aq4th+R!|2=TBC^5D{YXRPKKpSug^Vi
z$H&ZzTf99ou#U7g%;BdO+Bmtiz{y$08JF8u&8b4E0fe)&T2Q#hT3K(*8og_rTUX!U
z{{s=HZH*!kwG0At&S@TbsIvGcabj^@@$%eBCf=_kQj)09;}H9%q8rlv5KQASkY#Bx
zia6ur0dbHGo=nF%+LWPI#;Zv<*qYNb4O;qk$|fMl&~~S1=-_*mB{V9Y=XPakqb=7(
zm`|8vIFAc;k27!Y?tXAu-*Fzr??&Q(eZ&|~y)NtZFlceu8_$aj08t8P=`x&`m^W0v
z2aITZ6qeLz`35{s1Mh=84{p&_X^P|ZlS+Z6(YTpN66@Z5nz{(B`^d<BN4ALaro&~G
ztj)=-X1he+LkmWwx($H@Tf%8xlq%>CSMyudK5FXEz)6Ga%pFut#|HvY%Er_v*Adsd
zW!EQwap2?UEsCGv50wPu;Ng4f5wdko8`pszUU-1v8$q`MkG?+kv&U6cdG8Sm{T(+&
zPCfgHSGTKkU*`2&@)r`7!|ztY9}BZBy)2b(^=|uTqQ_P7Jg$~o(0gR+s|RTc)-F$$
zE)KvzT|pZ3vh^Pk(gW@^-4z$EF6TOVVt^AZJODB6@~tg>{VQJZN7P152-*ZUocOjB
zjGC~--X083&S3B%BR(at!S0F-#+lJj(*syLw3(YK!RxqFuf6yraPXxvSKLa2*Wzg(
z)VDBr!824)(s@2N@T4XXunPpN#u(Rb)eIvS>ehhxnbb+Y0*lE=ZA!}M)u#TzaR)s@
zmbx9&V1>UDe-NXfi#s7djxi!N)n27X8y<VvEcwb0Bkf%eVesmwaE8GEiS%&s1XU>p
z^aB68jf=&rKs?2_H}#R>rPjbtqb*-NdPl?U5-8;%TM2=M3ZG|WyAsTB!Pw1{dK9ZI
zvo*Gy9`WM}c3>zEkbCQ*4@JNs_Z*t+m>ssw%AE|cHT$?4G&+65|HfrGpWL%UT2IEc
zQC3yktFYMYvzKSH)&>_+y>W&@h!r0jFu>&x*B5?9%$0cjQRL~{?!}1ZUW;je)?RUA
ze}o$~^mi)W$^O_5<Jz-T<ofU6@xCY&Y@OC+M2`Fl51U0l9<?XZddVgd;=X#$AzqfS
zC@;{5AW&av<XDHCiSB3F6{W$cY)UBc6AQW0YlA8B#eNptR8dpC(&w@r#Z$)Fl0s+R
z2sn)W+@5%yDNehb7IutaI5n6y>N%%>^-9!Vm%z%m4QH#bpCkjD|DX&ToICgCdeJiX
z2UU~s#2_kDBAvT%J1k<_dU=bhy_ZB)Aay3Kx!rON6>_m-j#|&TZTpO5L*Yu?i2;o(
z45#f=9d^`HCnb|Lzo|2aEF9DVysQ1;h$q_WULT$ByJf}-s<$BV1ir5)&JTIYlZO&;
zSt-Fv8{7!Glwa>(q7Imgn^2#GQOT-VZ@=EODp|yt(L^UvYH%uWF>fm<?u6lF8=a!G
z8Uxd|99bKdVi)89JLprwBfYlov~pJOHJb3kLyY50YCcwYOW;I3ACcqqJ_Bw>3O5#_
ztgCebvWS&)2fvQ<4(HpYs|dz8=f2kpp;6#LrIq&QGQ)18?47`PF_=*%lqYFfi?Mqm
ze&-N?Ze-E~Zo1;UXC0<+fZ)1R7(_RS?}i_E_h*UM*Qk1R44Q=GCaV-9PW=@b!1zL8
zOElRU*O?Y2E!_2ohVnZxLl^wb(~K!I`2{t+2-!G1SVIKfT?mo<_d2_iKl7u<A|)hx
zhLU=0yt=GDMC%K~VdU651q1|xdGkjpsGI))sbJfZ&H)vi=*ZNaAfYlyr|vH==8vUH
z&aEolm?fPS)j|zur||8|XN5Pw#-H<Z6#qHTh&q#vHER;G$X1BfjpPlL#yg~i{jtmj
zD$Qoas6z({zKo6$4@Jjy*h#iyO=E~z5W8$v46hPv9lZ*RqpF^SX%fZB_C|3<2JbAN
zg@$XYWrZcIKm5LSbwOS=xyWhvoz*0r^x#h`gmfx6tg+<%pfdVk8t;xK9|$&n{``DJ
zmbwRkuFY^Za!BCEH$7S^ujii7>@ke0uaf-zuzuKpgNL^Jd7O7qhn~TY@3w~&W)Z-v
z+|w;gW25HsQn;9}$F|G|_w@oUiGn<qoSA7dlyE~(p^@V>f^ckN`-(SG`PzN!RWwme
z1;6Gj@qqCph?J%&)H8tqKWcT<#(Hpu7{Bb}<4TcZiqfeqi7N&W%ImjX9&bJn`e1Dl
zVKi5bjIl|Ep|OPbu`@U6NKO3MC(xcFhns6{dlY$!NW+jFW+usEh!L%;Ffd7cDJr@?
zu**0GS`%-SzHA&s(YL5IkB!}#pum_gQH-l&WBjZgK&E)JWl&mm-pvlLjh?p#P#I4#
zviVw$6HHl}CaPY3J}AlnqV{O-pH5TFhPOU0t7>&0@j-A>-U<=AL~uh&49p#1Fw+Q`
z1ik(~@lDGH`^r+P88))YN9+WjW}~1@COfeX?`iEal}|MwIG4%OmV+m!h4>W>NlTpq
zafnO@@LcuR@cy@2lT7XAaCCv6PYh>v8^3py;6~=Bx2JrEzWCvlQUME_5$WtJ3UL~H
z9EMiQ#vaW@fP{9ptwWlBTGTtlC?LBV2sSe%CAYpE7{Z0ap3rR;6t9Wm$4ET^58pqB
zN^FTwzZ=3A)U&5e=$6S;E%<ZuV?CHlXLtXc4Stp6N21q6We}%Z8)&QUc7pZ+E4k1a
zzO-Qs`Gf{TA>*sxHmOv&j$s%i)V8zg?}DG4R329RmvW^GQm%;yhF0XK+GS)p8Ig*x
zzv|T8GS!8wVcR6To34tT{iJR!R~;m&#7vs&(KlJFhSm@bs8e0EkE)F@MO-0cmze3Z
zZTeceX)t|Snaf&im!H7gvtmR?vp>*i(afQ-Ra|*^jL$+uMleez(yOu_I2AwrBaBaq
z=#tn>&E#{<xA$ht;bV~Vb|bF^{4Ef}%|O9~K1fzK-OtV_%1=#BXDm#6=D0LAScg%O
zi=JAbNK2yimEnMKa-sSkkOVg{gwI~bM+&_rv>FJl&v<x+-rK&|uKm%siq=lHx}znS
z!_|?oI-_`6z~65e%d84d#d1xF2WPXy#Fdf;N7paSeq=(RfNPEWnA~LtV^!L-hPL5K
zHj~J87Y@@7T1Ugjx|Uneo?2&R%gDK|c1AU;G5eV1jfPfYtliwVShDT#>DR_KBj!*k
zQp@wm(j1LKUam&TOm)+8nX}q;6)4141l3WRU*#eWhU4Ar7Vc&#Rc6k*vx2hjpkPs@
zeY<d~%yj6!!=u=6SUPCy75~I}FTiJL*C-qI8o<7(z&jlLndjZ)l5>+0n*uzASKT)|
zZ9X_Vscg5K^AN$?3s>*G;e%rf&`$;Wo;-%1F_uURjx{cXBx1TTrzB8b&qIFNBy%`^
zBe!5QKy{g;I#rY<#Is+W+ZiadumLSCF$jFFci|7q<98<`&N&i$)B?1#(MIHRKXK=}
zc-q{4a(aXfw~0@uUeeuv%`>U`Hcw&J*Pg>DR2f0i-u;TmqJ9RAAI1sxTJ6%BKp;@^
zK$0Q-KI80>m@Bq23?`DyM2mn8DUWM-XtKF_>^e>s7KO(;9{-ep5sIZ5@6N<+yT^Af
zbYts`y3T}mPW~0ETP7di4t?bGyw*^kT#XOpbj;=M-FrvtpoKU3%B?O_v-;csR(nCV
z8meyc`cem>iuhe=?IXGG?ENG^I2^wG)P*AV*K?>;hL?_K-Vf1C-*={K-dr&j>6={7
zV4+c@d|v@YQ1o;U*=7>AA_lFl|C$`FHX-to%E=plt_22iV5U?&RJ7jQ*il73P3kS0
zCc@05Nzs56HaQuWg2I|RnKNzGIzrFuhlx_j$4$fcpTGt~rAk4KPue{7)QU>#8ybw!
z^7R_AOA42<Z6~!JgCewRGC5EoDZ(`z9B<ssZz4LW$MqG&tJ5pw-n<s($D^qnfw%U}
zU{0NwT`t@xV7`((ce%p@nL{nxJ>9M{HEd0$`O#Cd3OUq%M%-b#C+{*W9x9+514ZV_
zND8Bx<8S<^qw@vU@pM{7cZu5W>amcXV+&Su4Pt5mRCc2x%tqFGM=bbztN6U9QI*CB
zzJ=#(SuEy?3a6)O31nsj&3D^Irz0U-svO`MlsBD6peD*N8W={zCO@$Fdi9wayz7eX
zWoypnBXUW(o%o$AngVqlGP)Jhz8S?+wihEpq|b7}LG|9xF~~TLsBU#}@g(nC^UQeR
zr?Z~h<Y&ezVRq^=l2=mVae3r2&ibz}Mf1YlZYK{zImZUxK&#HM*G#`J%V4mFMt_xo
z3PpG%qK2g?g6zNG)|W;e?!?(#NijS^mhI1m?a=2lc4|`#RU+vkOmS~ehhPiGaPQ>W
zkO!SSoT8!wfx+|r2`kh4$=ORS#&-W$CUnWGvvRpSNTj-mBh|kda9@8{n_OvgL~Egt
z7{j3=2*Vd+2Fl>f!$t9yHW_BXWM&gQXhciFFCY3_Jt{G=dj6NOF`C4&)5tZ6Y6`b3
z)%C%$fS!T{Ha)e6^@Wxtq)GI9Yy(fl92m=h0<N10VbTr3V1K;bYo=KTXB;n|b)qBO
z{_kNt^{fh-0mW}dZ|0@STBLWp-~PPjaJ{q6i8pl?PnN7NW&Zx@<IG4*PYkJFlyQcH
ztv=kuVHPZw0}cX&wqr;qzg2o!r@B&rfwK-6L5Mv9g_Gkr^%|HwX#Fx0F_}9?h3M^D
z9b&N^rVZf^@_S<Y5Dm%qmjQ{|3gkx==5)<NY`8n7;|I(Opw&~>N@LOoY9>sP78HY_
zIzO4V5I*}WHV)Emn<WH>6R@m*JmWuAl%*tTJ9{_wM)(TsF1<Nq?d<l-B`O&Z8@wdm
zBK4@F3OquTy1jyyQ*!?%I;uWD5GF4RcQ+Vug4ZocL0GI})`9S$lL9{iH7r0Z;!06k
zJ=^qc;2RPRP-02Jx|9X~SfTw{wXW!@V(M1s@oV4V>^am13cf5KUV*e}Z<WvU?E}sF
zZmc#FRykOz%bcZ7>*G1L_R%pBW3^MI3hUnX6S;c9oqoa<nA&i3zGk2#B%0Kv8xKz0
zZX|s}AD3|%C$hcitLTqCRn0+>Ct|;<coQ|h1yoKKkw<oZ^$VlFN!}*g|00lfs(sQ6
z#u#!W*z?^azo%OfUS51he%WNVhbD-<bF6QzX5Asf=d+EAfW+&j+cLbVr?S?_jwZrG
zG_^2hUPGI%05$d!s4L|{lOPR1;u&t=Tk9#@@4TCBtZNotdU^=w$&YfSc)C7=7hLH{
z>6%B38pz|4aS+{a7TmtSBHOkWv*7%A69}po%QTV3@raFG-26>{?2SlCzCPU7z}H#+
z9``meLXXJCQBl)Bze-zHuMLmtPGOZNCZGE0sVAry)P6B0!kn+6p=TQ?j9$oVIls5e
z8>Sum;RI&D#<FOb;I%7KbItZ82pKU2&Rz(~UH&{^tebz`g$3RJ>}P(gKqTFEYwpcj
z_Zna6xM2M{Hq)_rl+lLEyJpF8`(w)Z?B(%CBFHSu?H-4s0kB485KH!!H7l1^-aP#-
z-ZvUBPs}D+nd45>eN5WLxnxEUQ$MoDqT>5SH4L}RYvT#iNl{;q*bY$cJB|x$aGqvA
zoQN-6!~_sqfNH6J36_*Rl(j1;-Jl8`vypO>tg6IANW>gijguOLb{lgpp<}Xk_H#l?
zpN@|~<Dl43|Ktcyc1go5{&hM6V6bN!>}vMfVq^VnHHz<i-f^|O#>Pr2WVpV4J(K_z
z<rTM<onNPSez04$SCT`|*s^O`lmABiD<K|)PnyiwLp1hM2Qc~7tgO}^o|i~MHgB8A
zD{C}C_MG8nR-^_SzV#1Ui}VFwX{>PCJSnS#KFP_R)l3A)>L`%k(MWG~;i4cx`-dpu
zmkOu5T~DI-Tx8651`?4=CInxy?n)<%bhDZX4mG~Pzy&a*wOs8H%v0)vssH>bD@#8>
z*c=i<#xvjy_f=Lt3S<SXO<J%?i0X|g+-g$wk;9fi`V=0+YK7oP3fQe&54!iyaXHcP
zp1gtN^`6Rs1LL`Fhidzx(pekLaxjDZ==(3dRaoP~j)PrhX&(dA%V<fIR~uIN)5hD7
ziUqAAfnUbi<EW^@qX}RIyxsvAz^LW$h80!rhGo(Cu@&CZ^}DBiy(+dTN^YIMY;Lx0
zf5jRl;&{aYQBV;!0WnO}jk$}^c^yLXrr8DBhK4#gDNdkGFOQwv$gG7cu&eFuYi|=%
z63~g7S3d+b*B{Tz+~YM_ed$m;5k6)d--D%0AXmCW!hfD4^*}A6pNe%Yg^jLRRbLg@
z*_hj`_Bu4)T$iS@ttT&7fG?4X!a#3Fu#V6Dpnyi^$nmZQ^*A%%xG`e(+$UD?fJ|`q
z-0O6*cPNQ9r68Bp@O5avB5^9!7UWsg>n+(7SFoPliPP8^EuPy=GfFbHkE4||odV8*
z{X_=!Zl03z+hzPEF_-;5=V^!#no06GdsKKr)chfxr7H7a;KC~J?(Pz4=HRRdh$^a!
z`5lO6);<$SUWr5dFfj_p8#Dl337HtZxz9UOq`Q`lxf#*4Q7}=zoQkO_G%J%%5L7hP
z9*@T{vyBruE=GA16Q8f~W5xM>Y=rS)^a8`(Ehjd-(~)mihbEGbBdD1kn)f0bJ%ivk
z?t)=Cbo83_**D5lA{H(hQefpR8TJmPgXarDs03sAA}bSQYwh;4TR~YnX;-9{pvP4t
z8{fGqoh#*yRliJ1)Wm%mE^?ma<{Ix+;~S=Hp!|6o&ukD<2`iA)4L(&-ZpJ_oe$dq&
zreL<n?p;6kF*O7)fqNn(F+>^NaoeF_-1lgAmAnHawO$3d8q(Rf+5AdZRk9!F5|mO2
zTUBJgJ>L8&50_Yjo@^H2|Kan7)Ock<f*BR4J2P`AMOfGNqf)B@PAM}Nl-r#nC-iJU
z?f9&&hTR^nfvSMAK$6nzDDs|-+M`}hCSxCqKU~I)MNsf9ngI>Gr=A`kFE+LU$ZZgx
zVF+u2C(Z>^(t$bBHV;}+t%v1fU&lorj6_y8-N2deUXkqSj5>4x3H;qKVX6KxUo(En
zfsG-AnC+A|mzma3g*h{Rs||R}%<DP)uzo3d+jsQY$VYVVySeuqDv*<iSP6+y%2v=I
z(=wX@F7;h^{Q5!6)#>Zn?QZo^p2fZjgXSi@)x>-_@i&r$>%wvQv4+<vOyfCK_rmeF
zBYx$iget;;LQdgg9tU;lipYkWO+2ms{L!UjNl8I0H6R4`G%ht_;gZ;KGbBp``MNcu
zz>{U0zc;FIv>naSmZhr2#VJ<d7l*P(w}W-qT$kK3Qb@QO4&vjoq@o~Jn>*3e-XZ;r
z=_c&M>=S|ESuz-&Zb>yJqYVzC!cs9OQ}{9%HF<Kz>JO{IrQc0e;#-P=_*1FR*n)`>
zGj<1e;J7%t&}38gD9aDw!cOjvS4+-R?NBh*S2|H)D-~qI-mu}unawP7yIeg}B<r@)
zpEBZYUWkLxrD<>bm<{?*J$J`EqehQK9rK@cSKqcesYEB%cB1LgFOpryIS>*r0uizP
zKL9sC$iJ#af}?<#ENG1mpTw{;1Nee-`pBLmM)I6~ItB0UkaOKxbtIA&U#vOu1Ts?R
z-LjcDqJvnDyY+7m#s7cckW=owJ#<jf8eaPJgJ7nIVi7zzCeXtdBY3t2&}xsS+i#kh
zJ(@dS6S|R%6lf&)Q;-D{Jt!Hk++Od<O#Ovus5Yx)ei8aTIH@RQWmy$GZ7>5ASl*l}
zo#vRhc&jDGw%zg_DxbAPuu!M72@AN~<2C_UGxrmHPos0MMkt)=Nba4i%vH4&Yt=qq
zLgi*`6l*od6P|=cnnpp`7H|mtEw(c)laofM?xqFWt*~YK6R!|IcsB3iWDQY8#mCPM
z)6hyNI6`0IekOi~<QB;mJ1H8Mf9#l5v{S!4Z_CdH7HotrikUyXbJ~6AUN{6RV#<e|
ziA>B+*13K7v4Ox;#7({whT_n%<>R#yl+n7=UXtoXcPMmU`I*^~o^<bh=hM9n;S2?J
zZz2jZ0AY~PC&l7?u9D@!jj+hX!Bu`X`BcX!G1&!vLfG>#u3E&2uCrd8OAzwM#w)@Y
zOB6gTwQkh=Yf{MI_{=in{;0I#FzLI7KUEUOR=P7t%x!wuI@`da6;YY6ljx6sKGz)I
zwtjN)9%r@H!Z7z<NEA4dR@6a<k6N%;_H1x$Y-GG&C)@#r6s0+l7w0f_lMnu-c$LB@
z0yW2QiCX)cWe?W4{z^>Mnk2pf1VQ-@4L(!yN-CtUMfg&MV$!wpkNsMWpEg$;WA07P
z-k;XV)b<!ramR2BG)^^XdnYVICi^)8-=yvlJlyF8RD`SyBDp)aHutX~O5-u#P79uL
z22G$uH9RP{+{8Iogk)thx|o8lB2@ylnKn8nYTzEfm)KYtV%b8$+nuouSX{0U9qIH?
z-U6IiBgGP^lxQ|+UhQ1vkSD4#>Bt8TnxWCei_>ehlmN3Im&Tni<8y@PUUlxi9GpzL
zBe}WDUP!|l4$1riOl3>!*S3r$U2LtgI$ca#{EK4s(vm#MTr+Ec-j=lKU=T2jl%Sk-
zj`5fvt{*WmA>n@5P(ue|%@~%`_iCc+Md(t#9_%gXD)qX(c@08KMYWvJENn2Bk6Pg^
zy71VW2hzq%w0JP#gBJ9ust#zYuCuV~;pR*)9o6fJYpD};)fKTn<1SkOSNe+$C^pWC
z4&=paM26?1JaPEkTXATu{q?*ayTvP+(|FAN;MWngmI<#X$TMAh=6Ze!|3oTQDS&K6
z`ws=@?tHpAoU#&I^Fau7cnTb5tv0c0QOubGi|qp=1L|uId&s3T8{r{YkM8B;?;MQf
z*Mu<I@Yyo%XY<RRWY1faO+0l<r*%gaWDN|oG3)QH)p0|-w2bRlezfKp3hP!!N1vss
zj#nk-KJ=wNSn1X`i7FImAY6(UdTd)<uEYJQ!~x0vkW8bIdh0}aytADd)Ucfzl4o4Q
zVi9!SgwR#^H^(yPdhbrh+q-z<%rBD;FQQMN-afKSq3Z1KcP-zHt|6#~Vo|v~4!FsT
z6kG0E3Wq?wy$uY?aN1<E22n?py8B|6xg;tp(J_l^!=XYL+bLaEwR2V(lmLfN2jp<R
z(ql_mSw);g+Bs#E4C|d$>3KM~tYLk(m6erkcX#)Ovn7wIGDA*|;~O;`IqE#t0Aa$C
z8p*Yk&xy%&k<m;;4a#Mb-d2VUSXNl?QLDcTk`c6M{vs)@-Ih5ZJ*K7SbU<?7!A<*E
z5R18?O%Nvv>iflfmM%X}OW|?S=Eb1~Q%LJ%;E}ReJsNBct|!Lt&y9uZSQ5=L+9_4k
z2^^s@!%3D^Ytjez8zY3uj;eB(=)TE?`VJhb?adl9*M)QiWoeeRon2w;owNBkxY7&q
zI_c~WTYxv7kHpKf#K7R<1b#yD4E}^dxvGl(WwIO@sE;GpPYIhvsf;&8ZMTn*KK}e!
z`td`?+dsGI*O*1)mvHKGxMazuig*iP^y4{|1#t`D)4vU=|9cQM!yKaX@7>EdsVbSd
zU#xBB<ykS?p_4#qNhINwvb?;?=emKY!1*Jxha7!%7MGYOIr3tpuzu7GIodVHC-Rdl
z!|e~2do{mKly#-iJvHux${J*}UTTLfrLN{<&7UuE&%Y`9J|QNJUiOqxJ_F-}usK6L
zZrn}zyeEF;4#Ix=Cj8n9X%boc!Wo2dd6v(nJJ`amdyPXo?BJp_m#A}FfZPGw1bQoZ
z8Lo|3APyYhP7E2>K>|67#1p+C)5VzO(c?#SRNbwtd&<?Bt)$8~j*&(GtPYfK`|Olm
zYw(H?b>)ad=2$04(o3|BF`MG2@(j7Tscqh;w*V&?Y$6RNPDFdOegxw)=<|;X>zEq1
z_uE9}bY+TrR8)&hM5#R3Qhky^G2_)1;M5DGW!Dw}Ox5!9+X685?~!`z>GBr9N$kA^
z*d<c@;Z<?o>!Y8ks?D}UTWqv%0Z4iqS%sv!F{No)EFFb?4Eg>A8E2`^O&P#{rbp}U
zMqirs(%7iziu+~=*Fs8GhmX$Ar;*XPLtB82kk*@9fT0@8Ex_%s)pV*wd!d%qqQjs1
z8wyM#w*dC!a>a7CrjTDl-AfIgToo6aEq70)C7I9E8m!@%#T1qWx*CI$X6G(mXkn4Y
z7U0&oZ7KW3)_o?h>PY%N2Z>)4dn0&z{q=nB4H?V7Vn48X124PaI$eFJc<uQtd37je
zR$6&al2?_{Zt|in!0DQnEdbZdWef10jlH+q;?bph$YKap>vO4n=+@?2fQ~A><+_91
z7U0<lZjv3l)HY<zXWmmUjwd%X(a7zNx`w^m0Et}nZBp$EYOp-TUqi4GNyoNrrt|Ac
zhdNv&L4jKUj{khcCN4s18Tn*1BpI~Mvp4^&jZMzj0$8DCk8?#BrWuBj62_PCzH%q`
zO>+=(f0*s2Kbl^1RQ#n>L`kI5hG16l$8c}TKx@341a7YILhOu&j1sgIKU?K70~Z}5
z*J$DBtUy80#J1kkb03RpIx0R3_QR4CFqyL&IklEK1CU@p3>}*%UbloVxKs??-EdHO
zG3UoynPkpk%4^)6c&AjDlOUI$L#H9s+$<y{ptbo}Va45F;)k7dEtvE1X0y32hM!zX
zz0(I|6_~l0R^@V8YRnN1&@YXKNJp-Y&eluD^#z#&XZneFSN?tXq{o6WDtcPrq)I?|
zZ_Gct_5%5!wlM0j?x*~O@8($U^y~$%hw1KIaD1q(J{CLKS)ghbQ@rMkU*fVS{c2;_
zR)I@G6KYu$Qn)01nv&YdVUw}Bccz=;_(kKJk~DiK>In55)OhyIMDT}=37HkKW=R<I
z*R(}++?%C`V6!d2>(xMF?j|C-T;X0)YW>1&Taku2&Ny;F(>ZV@zYNFOq=|%=s{=&?
zM?e2R>^<>Qowheg9>j7p<XlKD>H1}L8%Hx7iaA~-Ex!y2I7{npS{o-2y07NYs5`h8
z4qxykNsAUyx#mgTNgO`c(1ZAJK+!B3C!NF6ueQUjw0%elbE2E)Qz~-<@2=pz4SwXl
zY4;nPT3ayGe8j_7fgrO3a~tu%4y}y75I2$9_%rXC5fx0Wd=h)%hfFic=)!9OYf9|x
zY$!xp<TFPmC6@Hgq~y3NLU{yNaKzS$Q+#Kx3qn5aOk5<!8{=yI()=jcu45hMT-4o3
z<K7SM4NfBOX`0B#=A3WCRox=#Q*9(%Sh0p*7b<T1lNVCRNN8dc9?ldN-BUQM4RUbD
zas=UXbFj&p!=9cYF_e^jA6wspVHHr$glaS?u!R<%>jwJD^91Tq@-3B9B!u8}(%JXF
z{mp`V(xcE$*k`6^nvY3y01er&WjKqStEd^h)LCFaPEkC~5^kPW7J{qum;L%*{W$Oq
zlY%&WuR4c-Z2cf<#xPc05E6i=3hf-CjM(E1iYy0D?GuWJ_^srkjbb%}ybUjkZ~Zg3
zqGhZ##H<#^k?!bJw$^6S7;%~VUX5omb(6{APd7CdN3kc2tKzU>s_NZ~11kli^Y~L~
zs7;7?5u%)kzoqsx&cWL0(%zVQ0)OFEwI~gGcMS&;cnOO&raBRv&Ik0?EdXYDE#{U)
z^!DGw#PKN&*SLrsWMt&Ug6$ERU8`REE9zCorkX;#;?kr=#8QJ61Oi{hb<u}^bXsyU
zg!?|r&BU2-l<Y>G?o1NY9xZ4GH&pBySk)5v5mC-@V)^^Q4C}NZerKjdhx??cDn$$E
zl|`v7_AYq5c0x^tSU03#N0euKL=HbLOgU$;+1c@`p4rzPjtuo;wj{q_4<$?zItltB
zJ>=yIxe!P3+^MyD$ZNR1<apF0@Xsx+=lbMRxR!H7&%kG$f}%v{@^aFFf(Qlm?=oM&
zJKnAazQ`F#WA-&Yrxke+Ngl{3Kb+7oE=E@sE?{1ealq3*`L~?-@{&i5q6rZCmPB7{
z?}=WOAk*J)y;NF+*tE&Et7~;3{ttcHt`<O+%_~2jXO7bQ7@Y)Su_EaZ(6BT2Tnk(&
zxlf4#_mVzY&N?WTZ#E7GJh<V*o<Blo)+8H!RkUg1$xZoYYL3qwZKxK{1-q}t09nna
zD%t!KI8~sDfido0#%hyx<f_n+KT31DegYK~Q6~#>_rZ}TOdpXA7a`*Q<VOjUr5D?!
z=XJawTWp=9Y5W#SP1$GSLrKdnH*=jkMzx`vI@g!&g!W-na<L_CaPQym4yRmh3dkzO
z+2qU7$K}m(ogsuGr~5r_<iq`^N6dWV;zRBqr{qS$rcDY%RmGtXYD0#3iYDvFmC2q@
zZ3h-szRGot8A58^OD=j9O)m9>chW5b-n!~2o*tg<P|KWIcJ5m@O@DS=q?M~lUsnWS
z<!T4UhM!IMjqf)zWF?o++r6IGCQj8-Iq`*Ad<N$&vrg&Bs(JicbiJ-KowDepDBm10
zoq0~Te+!U8IoCHX)3I{ra7I>FLH2CCDFgaw-r^!uN4+Z)qA?BD>t+t?&joJ*{QJwV
zQEt^PgQMJ4Lx{csIo9AUfd1@3b@#yZISJzsFdvWx0Bq!^-p$WTP33_sACq&7Y7%ql
z6EXO%H;$}RAm0{Wjscg?G6Ww;hZ3q}S;H~#+T2Naa6d|TU>%|%3%7M9+%13vC@U+g
z21s*Z4J8p*X4#u;x>_*0e}7e&yH=<^Y0P_g@<(?v996LF?qXiWhx_zX>*6tznM|g4
z_Jke}qPM*6jpYJ^`NPU<8&}lt-o<JvI%Osd<rTBSrdmxMf)_ZFkYi=Q{yctvBfq~E
z;-ui4Rpx7Y84hWex;K_9x1L=5VUj43cs&-gSwg;?+@k0?lF_m`wgi$rj#s+VK%WHK
zIwZ6&T*hTa4%It^6cD@I?yiOReO{)H$)aMm-{__F=Pev7(~x0q*A4_6lo*5`U0F>T
zKL20LZU37vJ2E;nKm|7lV+7&t-S&2c!*8LOK9(=y!4MvqS});nHXDz8Y0DPKe!Kd*
zJ}f51-nUiNcet_}7D!WQX%;aUv`ovlJ*f4hmUU;<(6=?-bi92zom$o%x-_x?lDVDw
zO5C~*@eSpBG$OYEZFc2DsaUpXtrC&u-U9<W9B}Og->KF^FW8SNt>Oo0j!j3T!O>%G
zBp>^T)7sn<3qIU~KF>X|(HJVY3`2jwER9L2biX0F-JdZGN2Joa1?UgTj^#h3qJrU^
z(Gdc)wH&S1=UpC(C@r0%`|1@2x@w%}gKF$P_v6<sc(GAXjyZT@!MvgkjrtyJmu4ll
zb%tI#Uh@HyY^Q~Y%`S-dBD5wyFhLLXH03h|N57m@h7z%|eZz4ilymDsveP$fp&~-S
zV5hfbPuk$xM|RL&H>+8u&77H&<_w4{%>eu6W^abllHG?ewLR13Jozi+!#_#5)4;2Y
zKH5oXf~mnITf-BP5Os%<m6SU);JQ<#<dd0_`pZ?Ff)tep4cuiV`-%zW+C_(Exl$(u
z9Wl&Ca!$oUC1ei2H&8o3|HV^&l~Y&2k%RHGUDzYWc~~=IjfoYFX@)bvZ?YvXHfe6r
zm|`?V;9?&v<g)o@v!`y?+X^w8i$fNn!QCz!6Q5FE<I9mVM6&GwLeqshHU+i_OkS2z
zs33E|hlVgh0*+(jnAOTnaBOgxPl$SH;-qxvb#ET7%6#F$hMH1=7K-t6VpJfbGpBWd
zr6rS0Uu&kKT(<xov#HpTpNQvYk}iS*huC&8rX68VCh$z<z_%k$7KL}~>88m?710`T
z8$);oL=w9O?NmZQ5{~e_e+rHApj1#h3Ipw;#4`i&sgz@+FjH?i$=v2V4CS~y+QH5x
z-K%VmFtGrYQ25L!x3xegYZos#v+gQiSnJdQ_pT6AP>hWSm-8Jg+az_Va~30(0(^>A
zVtvA%LGD^N1eSaBn%}cq{A+xk$9nU_K_bs0AD6g9g^MT_hAQ}{)Bsda!u7!s({5*S
zeZ1HHyLao8oOvPZ@yhBG3JVXC3r1hBcex(y@aUdvXvr#Ezf#PK_FEn#RR?Zz29AKN
ziP_Cd3K7&dkUlm+IpXzeNPVZ=8V)kkbq!mtC&CC_p!6QhCi~1BUdc;<PioyP87E5%
zK<BIFH4O(@%4CPHpG*>S(N)B0`tGOJ@g1Q2u9hr1D*2KcQDNaqPxJJ=*H;{0`dSJ0
zReWe8RSqBAVa#Unkexwy$xVoo-evdLvh!=0Y{7LMSkHU|slK}hkG1~J*zGNGRlOiC
zDzNJWj3@ZK#=DEP1$Y=*wKsOs^7Hb#?sdO`Ig!h3-XofGg0z|kp|0dA{T$J{WV^At
zZj$fYND2ksNvu?IShYwl>3`FtY$-eM@B^4D#+`gxay$pzN)ndBB8DUTi$R>UC~tZ6
z9hN?S=;yi>D}OL-uZmY4D8n99s)v|IRV+Is^`dIx&lAc=&<aBv4OgW#X!>-aTSUB9
z9kVZZRq~m5QL<TPZrU1P*oe85ybPMnjH)!r)MT}8KAb9z9BfOB@ES@Rm1}0q5p!Yi
zU2eUJL1^q|B$l-Hq>H}>oV%l>qlo2Hbk)<E3eZLfC2f|4aC`%8M8jsd*V~b`P}e3`
zng<FM#~6>FMzRL2T*fB_b?vLvAd!l1zKYHoy=!{b^0Q_M<7M@%S?ARk#$UUfxEOuq
zs1CH`smsw^gbuu-F(cWtc~y*rF~|sYE}J_(YM(pTauWw!5$(5eS?Vve{~E3^+aj#~
zJgptA&0a^lNo850pT8>gS3*CZpxRqrl3U0;o>Oj?RkT7f57BQ86w`;OEHw${r_2Ac
zH_OLyR`ggSdUL^ko$)->6uk|_L_flXB+a0iZ+7iT&YP<yyzLxlQM7TdXXZ{K*ZapS
zTH?~--46F2Yi%w{ojF3u{VqYptbO)1E33zVCj(AErFI(JU2nHrnWd83yREkX1o-i~
zLdh0D<*Q#-_({)PV1=pTY*U}7sdpr5bc7QQw@MVPSsu0prdbYAClpAgwknYcI&*j6
zm+}3l<?5}ego1C{6i8bDV0vVB0U8%9Huz9#z^sgtRKMld_=+L!YM5ot%lbq+fk{cF
z27F+ptd-@ikCd3NI}^45AwrG0qlZ&wuUASgaLQGoO0P`1vZ!26@oHgI&PcOwDp$#c
zVF45*eOJ9-Y#&7*kFe~}yK}=LFO<VuwRB3dZwsdNoiV>u`P?_H+ab#?wz1j2Q?wSE
zYtD6BPehVczBA!?6JNEu&mTl~Q!JH!TG;}qtv5;ZP-{aXoh?9Tr~-#4cjrgB;&mCY
z^^_9l^s>du9S3uR`HrJXfrE>nxEVN*{Bk4tK$?i>Znx5On!>Y$TR|yT*Xd;QRJx$<
zJzJ-&mC<i_3hQAJt=5%@k3~Gls8g5#hu}{?7=E&vh@7lXGTeTyWeWXmrH^%dG2J1|
znx5pIEGl0+npy3@zBk(xYH4|XQ;B(67RVi47F!PqD;9L{b8(f8DkMhf@<Vkmu^zt_
z@hl+yGP;#uAbbm(;f1kWb?H%l^$uU-+=WX+x1L&~JJq)U0`pcqq(H5Z!CSZPCy^*X
zk))uCvaEEo9nxBH^xW+iB&CN?^4IIW#orgZ8r#asbVjqi!zG)`ozZdX=^d)3{R3|p
zzKMvi)dkM9fJzIN*nO^XDsFVW_iME+00Y>-Tpr4S3aSQ7nT<;^S}}SM<)oTR=`$-j
zZepISX=3bYS_XZHPz4{L&85?*@gZInYjF?nKX?>65QBTHs$!&7g-7S5TPM0bne6nw
zi{S@bwTr5Sd3ou*9<Ixd!^_ZekJ!{D>Vxdg>#=$D@s54LqlBvC*ky?+HCoj^doF`s
zFf&KmuQj{66uuF|1+oH{-Ms>NAP_4#AOP(oi7fI(tL%}~VN@;sEq4D^>U6}M%eBzC
z9{A0aVfb9ooDV4p_b9!?%vcwS)nK3F^5s(3t>W^FhVb!uDOjzph_Mq2O<hatdC^FT
zykQT4P{fi}xf@ni*4a<|wtrQZ|KnG69UHyFil8ikH`=9mUK8BNbBNJn1XetCfp#g<
z9K97DGsk9c_^v1KTb9Yal+lX!sONV+Xkd_=$iBb=Wgz2xuVdi*4T1B$MP9DDkzTcL
zd|2Z(Jej%VhTy4z$t8-Q=}2SOoz3XcDGm3_0_4G&vQQlEc!OtS=`8uqbzf5XM9L9`
z5LbeL4}ErfpUK3t+j}+AkI3Jwc2U$sR?1N^SvWYvk${7H4OPdcjH^SW<q6!zu@>T3
zE3^H+nt=0_Hn_B3%lt@a%NL<*zLT*FJO%iDf0Aoy=}6kh9ef4kFdsr-wJ&CtFgo`9
z<zUB^HKGu%&<tO2|GA+P6BXinx9FJ$xf8~3oLqMcXy`;7PCU5~(roHxn&>n1>}rGU
zh?b?IK0a8K?gjG_T}qbCoVAFzj7sNdnJ-XY^^C?L<f&m}Mf5YtvkE24uz83YVIwNU
z3pV);XEo$>d?>L%)o$~;mM<vsjAw-rqF6Iwr5a_DAmJk9PYcRW4k0;RVItczYJ-zo
zfXZg7xA(ppd8ENx&a)Ib-@LbzI2a}y+h30#P+H#tu*cv0#rM*O7}aaDMsiKK{&Af$
zuQ*)1jqN;N(6T9;!l<`R9-e(NK%R&Wx2r<7!JSm6tchtb_sbQ<RcoW)U~F1Xylm8s
zY=zccZD57mpQWsn-`ntww}=1pa-|0Ww~%ChAl;va{(vpFkdzcUvY7F@$g+fBnA9>N
zwt#1Kt&&j1tm3F|rbXqZY;AX1b}hVL*fKxYFQVezM_ZR>NFE~wS5vDw(aF6<u>p0U
zt3Qi3?nQOQ>0FMsP|UkWy8d9iizYzm1a<ZZ6vtKg;7z!GUw>Ik#r1T$w9GI7+QES~
zUMpoVe7e`hq56MQT}*gfYgkW#yXF(heWj(9w6Y4Etla`g%W8xC@zGgCh`hb+!^E4A
z!I2qX5;!(7kgBbyOvF!1H||a^)vRLhAdY9_|9vzsvI$=_hB%B>WUIJUhs<;uZX7+~
zZat70b<VP-2a(@amX@?2ESM5ja^NfcF?+28okilvu*fq&rHrXq<+@_Cc2Sz6hN8*Z
z@QkwV{KQ*IS}WO{(=$|3Rz+PHaB(;sK2br-h%4|Cib)>C;wn{-Oy-E5*Y+!xyTfXu
zNsmNd9Q^wlXnE)3&nAQ|lHWg~lbDm{m{l4N5fPf5rH?`=9FmO9FTSJJ+_kj%12^Pt
zl15!EC0g|macFjpe8|qw<d%9+IrZp(5h2-tyFO+*R_(mnoMgN{Ssa+q?s7GKR_DjB
z^2_UtuArgXy-`1ii=IpgpIQ#!QW@0BoS3I2HHqduiXRY>T^)QG3xg?eOE&gs)RAk{
zlG)?9xq@~3?Det)r>|cxYADJ6ykM_+10KK}=|Z4T_eaUSp5v1IHKC#2=uALznln88
zFwhql!61M2YL!$tDKJhx<8U0SP=*1%Vo(%F&}ILwcwS=DvOCFEyu=)doFd>K&<SPQ
z_BY}l1ulT|tpd@EB*Za5+U^r^g>-t431qPA`I2XI$DJ%^afAq4zU~$p^sFqsrQP1H
zV1UOWkeL@@yXt5@B77y~Rc9BEQ}3jz1xuS>fFzqP@|bnEy{Yp&OkFOtC03Y>qGI3l
zT4${_;fkToY+xIIL=Q><ny)*dlFbZ_EQ&MoYF*sDTarHOx+y%Il;m;q87}2GNgi!)
z<_h;fF05@h76CV-_^jmQS$5I^AsNx}sby_L)0z0?^&7R=NjN2_*E3m<3^cFnW;V;;
zBRynV$^^sP#qIFe;({ZZu0KL+<WJU4P%tE8zHeCsrwmFC?$4@ruHD2z>(Of8${Z6J
z{ii7TpTI%dIeL;xn|O0@K6(GeK^|L?rd5J9LSxGt)yx7~ONi4orru(8v3cO@>#T?f
z_eA`SHx!(ATeN6TcO+OVn2J6)ea|+5NW>0tJn!<nYf#QZ%eAsbR%O0AdDB&ga?CHy
z7hN20RI*8E_Eoje88np-v|+SZBkMaBlQOa^&@D(*o%br<SonNYP<21Q(9GdNG+hJP
zZmse>a)UKvT<?(8Z@iK4G+qb0oV>JBy5X#j<Rz%rdnR_63x;c!>+Ma($8m>p*Oca+
zC8$VNCEGz^{feE}qq$_A>pv&^_N6}<?Ibn{l5_YJIU@Qo+Zy|3?Q(l)PvE2Z<d%7x
z?)K6BIz#S+q2dbaIdxpe0JdB+UPH-%3PjJw7i+j(rKJ`#leX(x%a8kv#H<r{(;d{i
z_=$*n0RyHRcgnLa`zi+vtY!?ayUbUM)~&qAJvL(k^nj;kX1bb7MDr=L@>(y$=EN3e
zA3||>3*aBTc*R@DDUc|6*bdAmyiT}2M?MqOK(>A>4pp*9%#kl_#f7mfoQqsk-!SRx
zJva+zGJ}O+E;L}}DE#b)5iMaUO4qGnHJEZzS*XJ1fTuKfL&e?|V}(iS21P1bf;Z@f
z``yzGt@+gn1S;2Rlk$2C@G1Cpaaus%Txg+5CX6SSQILr7G(%P`x^&R%AuDSe>gZF+
z)@}*+TNPHxHc<<l`fe9!(R_^x=HaGWy7#3c=B-UU_oN%Fq7yuCQ%Ft~WV_7VbedBK
z^JUhZ?MCT6uepXR3%96<BEA<oZ=A{xlAsTiEeG9Q6<HJ{uJ)LPZKfn(n-!WYKWhkw
z*3*i}d-_`}6%6hcIQtfiEQNC8-Vz7QE9HvMAR#O1gl}r@x7)ihv;%D5X0+*3`fGNT
zbxLzZ4FcJR>9+Q^XFQz>ylsTVG)^V;^Zs%Z_ZLHaTsi-GPg3VvVuFF>)XL~Sn;D|*
zD;AAam$*^B1<-im*9GK&;2oR74)8J|5ogn%SJBHqmd08kJ(eq+?MPYexIrHWI_t0L
zl&lVy21OI?=X%Tn8W<DEH!eKa>iE%f1|{e4D^6YKa7Hb3l1sjux(#&ucrH_S#ldXo
z1RQiy!xb}xgO4sT>a7vj<@JC6hT?w!R?8lY69X+?v%u~}-#$)#guRD&se2=Fm7!?D
zcp;9OZmmk$cgTR`Aw3>kE8$E6QgHNBzJeAdWZ7(HQA<l9h-=i+KGl;0hePQ@ZL+g<
z#NrO<zC$-ca>d0bafkr_pQG6zMq)<=B&N5ueidix0xeBY)9)U*q8bnpWq#ofbaZ%n
z$x$Qo2(G2F?0A}&`okQmyG+K2!t7N>hdL;`j^nmgcSpxU?W<|Y^(lk30$j8nU!q=C
zyIPd>8u!C0JGf8wWYc0r8w;LmPz4IrHdR~vv0u1cR?9xubohz#4ye>yC1YRa<FA(}
zD?jXJgC$=9e*YTs-W1r*UPmFc4mGL`w~HZ!JC8I7mn0Hgh}_x|B#^UGW=efD=UpEV
z<{gMWM@T>`n%}MNHOF}CLy$eDR<vy09+dliW;MF~6|wGmkNF$I+MGfm`Y8Up2kT&+
zOw|1zg}NnoFQbu`BuUE+nTaaAm!t}hhd9+c(Z=fI3nVLH1#kpo3osfy@ksGf{+bx8
zrEL<RrgRveD{5L0VwugZ&GF8C%b{BED@u7a9!=|Z$2DDRUr}w1BL);TW744i4{vWC
zmiC#hkK5BuGi?)dJc(v=IgO3h7&XSY3(QQDn7B^0aRHS^6BQAO`vT%j)2eZSCMNFU
zG)ApeBt!u>a8gA|5UCqPP>3QDR75~U6!oi}Ip_SYna-R!+wZ+D|MdFsZqIYy?|VP@
z%fvoz@=7Bz;65R?U|xS?jA9G$Ys~iM&rJB+A1$^&lj?w>)>m>+%ZcmnWbyGbC0I7M
z1qwb#!0KGAtc9-@5R$y_lf{uL5rvZD7czmff4bNn*OFa_{qoIWQZf7}Ix>`J6wYcK
z+e84}FRvjWAvKYoJfz=b=2v;j#Tx%hl2;t2s3)}14TGIaR+-v=5HoOsl3Q1+)l##M
z^!2+_Gbv~|qO_y~<WgA_^tk=PXZw91Ab8yCJM}*dZ4=874`New=BuL4Rk=BK&cg{y
zuP{56szBVSqeIH4`(*Ro*iWqY0f3_Tr)ru$2_t;tnNIvYJ(GnJ{@Ubh`Csi0!$=wj
zVTP{p%x<~&?#D`WMSY<X&<Y;(M$PX-ok}_6Hmx`0F}acZgE~i_<N>*Gn?u5n7YF-B
zb(F=WUiQvI8h)%0*{W9VP_Y-B>n~8-{4CeqXr*-}5%sQa>V3iv0D{c=*1A}gn`G3U
z!S~cYOiI#i+!IV`!dPeVbPZJ7OG@QKQopr3m2H}x)|I3}n?^Pd#C=^zee9Id5w2zu
zg^NsPi1@ROy57JqqiX>F2{*CG?fKnb&+xzZ7eS*%9*HcSnJMw;sqR9OIyy)>a|8Db
z&vVpw*bg<vO&%duv9TB+CPGiNW!^<&_;&1-TarzMX>d&(JX++Y3bL}bK-%7>`+~bv
zx0nzqr+kf3RKd;(N#;bkmanHGp%sf}xp>QQTH>1Ebr14fvx)NNi09R3DYRc-?-ZUm
z72kGeOcFOBZugP0WCcPl`LA@->bOViI4{02H4Ex{F}AXHt+of<93?i^r$iHClb2y>
z%U~*jkT4FEA<3!Pp;*CMXS&;rf37(Q@@{!~`}tYk#3aM-^rmBw=RUs+TRP6XuG^=r
zBGfQ<Nl|R#by77ufUSHs*XSrYxM0AUpAWIYnR}%bwtHnQ8SRg&@&1rnQiVTONmlj@
zB7ajW+c=H+-Q3K4TG#TY^_el|G&|(`SDScr$nGOX(PK*D6i8=&A+w(=eH5DD@U?WU
zYdh2gBDNQW;bJ}sDkIVA`}0=T<?B~5*7S%n+!0i6cmh`Ij)zK2ylPKa#A9_GK@|%b
zHX_d<yKL>n<ViC6$)z~`wLx^?tO^{IV;Y4!1=&4wBC$J;9Rs%`)F9)mF`BX%xI=j&
zuO_p968V1KFKnP+aA~uH^|?Dw99E~fwwnIxX<#W`aN0dupP%5j8#(eDa`kJav5xVL
zNOPh(fS<KeJ^tf_WOayMPO(Ef0)zc-?#FE=jP4tVy3LB;r1+K7ef8N<C{KfJ<?H`>
zTKTv3S}e^Pu{|CqbvH9~J*+L{^mh}Ri(*Nl(Urv8%)sV#g_CgoP!?O88@;9tb|#a%
ze^{UbCnn?yvlX~~ICjtAq*}G5Biro;dpavs!v4&Uw(d_xR51N>!Y5IVpbAh>oMbET
zC=xpr-CO0-A*y$DE@VJNwB15*09Y7TH%6+<pbkJzS&)|k?Q|PG7EjZa8+sQ*-*3Ak
z01GJH2!rg#-q=0a2GMT=`&*MzA8hqhOssUy?=!y5tcYrWO=CH&*Z<N|a<!I~n1SPf
zm&bU!o+2N(nJws1M@q++fe=e^Y)vmKc{<6B^Mg_zA6@@(NpEkMbMihTqrzn@Y=7XO
zP$pSdsLmVi8MK+##?O~njOE&Y5<TwBBz`|Py`a9+hh`*mj}fWZSaBoaVW(1$EVb~a
zxsS6VwDMt7JO|~!(aj-<;8x+dPHFSGjt*kNo`Kq9w%vidmK&<>f0G;$XIykwh0Z8A
zlaI<A_@;%}Tr5#+)6iLR)mHAgYOawoc&8H^H|~TB?l%98t(m)=8mTVB?24ElHnfiS
zoC3lnm#619dPh7n>o1gjVPi(O+9+m#^5S#2EFrx)AT88)j*3xnG^Pcf<m*Z!leW8E
z>11RXl><+t8|gDPRrF5dlCu}-9eQe_Pk@u#ofD|tOVBsSZ}lZtG{Ba)ac2B|dcEJ8
z><sgor?<TLp@1UV@Y&fjaE6KU?)7T7YUQOZ$_dl@(Db<M8vmT)@7(Q5Ql%Qn@|)X|
z)y=EDf#j2t6RVq9xkql>dLoQY-RZQDoD}x)UzQE!r2dEo#Y=j;f5%7|yb{YET2d@u
zxuR8U*1e2-r4XT;wIr!y)Sf}Pm3@|K+}IXpY=bkiB*T0dHet9iGBLglIM~KfcNX^i
zuU<3$)7vc`6@_x3bxhU5#!_qZ7hbTiLi&)1@g%nnaKR`+9ESunP%eD7spr$=`4#Ly
zeDfm4`e|0Jp6i59hDTR23k*HBYf#(So<sEf{60TOOltI~^FI53a@L{3P6eN1mse^1
z)0&+org?^a>xbTn7V?#thjJTgZ_C)0Rz=HnZFMHN<P^AKJ@2p&?xJb%wHS6W6k6KD
z5vAd#yY81gg6;z>Q7kaautM6?Up2ARPJiLCK3T;c1Dq&Z;=gtTPg3lCAGd9^ivf5t
z^Wh{5YugatJQ&+#diu=2ek7p&TW{ZAz{I#LMD(DKI4TyHFlNUO(i-nm4e@y1Q&D}$
z3MXdI;43l#Xi}+tK8IcZ`r$t80y-I|AfiOs2*nco7NG-ySg2<gK%f=}We%~Hb9CeV
zfq|LFSB}kRw`inu0<T1F&fQm+cDG~u2fQdeTkjm9CLo{Oa1>UweCL(oa;9n;Xm+7o
z$f>Z}Gq5iAN>zJ0hI10MO1E@5bY>BLwF#ZR8q!&)khykV9e<aVt4D2>j|oL#q?i}j
z%Da*#uY&}FGqd%}l0%Dl`|OxZ$n#+e*K&SV>g$-4+2WqmH&5-c{X>Sbv9Y;4y@yI5
z@wtc2gcp|d1-_jlAPW{QF$g#pbheHE>8lFgAxNl;gFU2PO1mb_^zePM@jO0l=&_=8
zk_IP=kmWNH(d(_a%YoDi<T<ZriWFyUGJI?|tT*&kodWX3>nwcr+<I2hF>k{Hix#M9
znB$e5kb0$4EGtRpBx50oR%i;vkD?>fIYAZTa_~q`3J0D(C8JcUYM4!1$o-{g8T#d{
za}2~6yr21_bsMQ-Dy_S_hKwLlNeQ|;Y|!G^<EHa5%p0%o{8fklxesTHK$9h#dgmFb
zCYWnZ%`^3Q)f8=w%yY<_P8i>W?`&{dmzRS0Rn@7A6qIMp35lC~qh_w3+RqY^%0f%-
z>t8KFDGT~gH9SOg5_y?2Bad3^EHE2NP*oCe??mZRA=3f@2bl^_1*u}EIG_+;F1Iv}
z>^T00>BFa8*;Zl@&7d=bL+ySwz1jU{FPFWsx$H69h^%dGX`~kvlt0m|uS3YHM`a|G
znEK_9fA2WsLyvpkX5lO5DBbPIq-r##(Nlbmjx75~AI;}8%!u`IfZlP#!^!Y@s<1P&
z0u-F?eRRw#3Ina4+PE8(OUp&)K2J(H6RJ3QIco>`F@0nKl|gXili}v!9k&OFe%<i;
zwLJqL^-ko=#q|Df!TtH{mWQcn&DZ>8R`r3ms+9h_K@=iZ2CAWWmAMv$1`gG!f}I`V
zDs6c0$b;<)qf05pdN>F&%yd2W$5ivD$i?)~h=e<mEoA6NiEI2{FEbw_<FT)@+nXBc
zrKP>RDQie6t60Ei<b+<x5(5Es?SG5;9KA5LdLXJR=~}(TG!JE$tM(VXUV-Akp&BLV
zmtK9cxl7RCFZnwy9llw2xF<F?Ilh5nl_v=jdahMWBa>TeqNA-}KB_M}bjV#D46osC
z2PaT8%>0Q}iL;#}Xf^T_c?r(59_saU;oxJ>u5aXB_)RyY-6HpLHfDT28`*sC#Yty7
z?SlK^(DpOIRHQxV8p2PQq0~f7HA5hMet~@}W3%a(H5ezm=SsE9{bIEzrKH#Bn2EZH
z7ENX}7c6$7Ji1iD-=m=H=b!(KZO(tEy~XPNAwIdw8vbBr;zu5F;nmEmfz~hjkAXrW
zv`lQjj+dX_yL9x|39>qWdx-0&$id-I@21O{+0#>bTOx$1`(?y2ka3le_((raLpM>%
zT(7+J8-zNZA;0xt&%nQDyAnU+F0c5oHGifrbBq0G{B^^Lydt6Xv0_#2S9=C^t=O0W
z>Lf7aDJZUa2fX09%U{ADZF(jkofwy!zn^)@&ri?ms|S<|Pa>V~D=SP+@1(AUbmIP{
zdN5N3PPcvJx7J+kTrBD&5K$qI8e{pirnBU>D;xscj{yhsta#++&fgTXbL!=L2JgX|
z_6$N+Rpr)X^4bO{0TF`Yoh_f7YwhiTa35vyUiA_6M#3ILI(BVna%ZG*-lM+l`7on*
z-TJr6xEBzua+?OQeUrd9Lx6f2iLQ;ndQQA1DhvBqj;}9be(=Y;`kPO@ayj;(P^fdm
zp25S!;N!7u<ofg5w0<rrwnIpxe~^aN<t0-XhV&NM{H{mnA9DEh>fI$|43_c7<Wtcx
zeg5wDP~gXU8bL!eYe^X1Gx&I?6c?_;IUuob+Ohn;;k=}2(PBX8VSl<Ew&$}6$t5sZ
zT^!(h6^W#{we5Jk3b|PL{dS5RacS_W#ObREoTB%6;NntCwp+a%)UtE47ZS>}q6W<U
zC<pk4U^a=T-6$ECqE%Z6DW1xKa`Qg$HxroSwz3;?7Fgqz?uhmsH9|AB(LFq+(5hKc
zzQCb=<T@<>(Wbrw6&2_I{z#gD`wL6k)S9@eWcizT)vE?5Zfs)oh1rvf@}*lmhJ}SX
z%W>?1aBVB{cSZj@>-GQJ{)seM7e26tJX%w^-~@JLv=#&hABnM2TJ}D)TaJJ8T21I!
zjw53%=N>(U+C#>T?Gk!ATHP?Evzk=XA^0^n^4-ORTWz;z<}*{S(n`%t&2Lh2OE!pu
z=%7c%Qg%*sBLQrEW3Aqin|hM=tM#{y;lm*me5JhDZ+=W}ccBatY~=$cMNF?GFdXUu
za#?HMDOFQWG@~KCrcZ9soqWvt<Nl$J^}b<LTEAba*(Wa(*2U1*P4<Dtu`>>1B&Q1R
zM(5{@SQn>|^}<)O4O_4<CVH)SF{2S45$<?vprQSr{9Et-xvPd|E1v|H4xG|n8uA!s
zIF6k~)&OtlyPn-5miy@ldN&nA3Cg3s^n_QDDR#`&&DI}~V<OKJ<fdxV%<N6d1|u3Z
zuhgYq%w86E?zpuIl>Ub1J-UXxJV3X72s~kAA%OuS`eqj2`jL;_T)((cg?j>+rpad5
zdG<qcs#_jnpgKGXG?3yo&*(miDxM=~q8!Zhu38ufDS(_Lh#|(U79m(lpu46zaT$&J
z^wx`eKV7*U+(jBkcm4U~T>&0DdzQ2t*&tp1Ks){U&&??ikucWr@47xx*!`-is{QS?
z-J7xdtDXPQ3N{>-x?>=d=7BLy9>K_%(l@21RNf-~*`xxZaV0)>+Rs7$ah27#nekOk
z+H=JtkK1;f5ZR1?U@q#B6c9d7aWk(GOi6M9qnt9xw_Ek#IFqC%b{N@dHR4?uuI@cz
zIbh{C_%QWYG+F&3F-v!(rbKetE%!)(L-E8w1M|&nJH4rihEBf4fL0dbIB>8ig!Pa|
z)<p5x<$M+@oVc6${Uu)d%Zv2zJ%gphIDn;}?94Z+L6ukLFPJcu={3BWImr9S-NnUO
zVyWX;zmt=bG_mRun8&Jd@rBwaQt1&?y01w7uXq0N7XxG-u9@WxQ~-y3ZoSAar$=<#
z9UN$QatN^cLdBi|Mq{v6RWvv}eC0}JRefP0u5WmUF4peegfA;nwG=}qd;h4j9c~-h
zIo^rAv?kj!NRe9KiEA~Fx(2^Y&@T~uMR-M?r8zTb7z#*{ujz*a0PyTt!2*2i&XmHL
z)yfpgDQ0=iE;Dh{oZ0-%CHPgFgHoY1g5wy;C+P73di+y$J0Yesgp4cP_MYAbk-zLm
zg1Da0*_LKP<2`dq)9KG&6nVjLrWv>~1j<iKeh!{dpv%cbR3=#gA7+31ceJtw#!-Yt
zkwZgP_k6ZRCNNQF+sfF_1+{$@4nIgY`9J>1YksVWW#^q9=5<6|-Xg5&0}H~|n@^4Q
zxTPw_fy#3~#Of{Hdm#@=QAcn;%sa^>wB*~uQ5dO;59GAEk(Y9=T-DqeD6m65&2cDW
zu>&L4d5Mr6NJkNjsoLCz7R!%ZcmUg}V_XrQbD+8@B)vcIY0u|tyHp|-y4N$r@>K6H
zxw_ijrz1ufrwZ-I`qVY*^^`uYErE~ugQQWn6@nPw@q`3KIXz8Jx#Ew80hY)kx3^Ld
zN@(9KTM_|u;WOOQ`Bn=XM2q|k*9=Gat@}l~dAukTzw4&rYi_fW#w9)>{C=3~yJI4$
zu1Z0O=(9cpQ*735&SfKd0+aR(@_Bs_3k&S1$hIbyI;9Y-@fo_}HU0LIFIfZ1jp@y+
zn*5O!8L!RIs+nl7j5<r8==$cC5^H5kERekvo>CMa53&OWJKyD=`9Up)y4I|2m1&~R
zeBvxITXH-md^kg-)+FTR3$|3nkiOhtQn+t?ay2^1GdTEY>2m?H9-uh5?6+1{#Ke6h
zv`;J(#nBYPKJJ$x{qMbF1KHKC<1V;eT#9Zwf(|<XW0x644-UXstIt(9RIRW$`rH2n
zbYq^KGB<$LrQT*1n|N@Z-)84X8f`65QT$2*e3#txVV#=ZmUi?+%_@mIC)K^DJh{12
z$EdFpva`15+L9|bE(V{oe2IvdTHV|s2zJdTs(Q|sIi484ruf&}pm7X+LB?#Pxr)YK
zz!U+21nslCpFPb~nDih0A|u=HF<ulYk5@ps68IR7_@=p~R?Pi0=c|G*`F(>65)X^}
z%+>^644H<_e606Ahs|>>ZFncI2reFa)HxFExlyG3CgMq4qu1!SO5~g5E<5rMD~rin
zo%(IhUbpm%p>uJI9Q>w=uMjVY<I9oVOBSEZaS=f4)V%Mye~B0WP99*JS;NKb85nP9
zK4(Op(Lv--uTAUx(7;Zb`I|`e`pkUSPJ8pbEkN-@I@FRnvcT4ea;MK!#r;MUqNC=5
z@EY-&;%Nd5_U7|;N`4ciob0&?m%nBZzNp*Xb$d4Uh?u8tGYLn_3TP=H;q`@F%=3PE
zTuYyr8JLq@@YM@c27{GOb;JdC1}@cnIVXvEz?4|r>__b{%yN9*XH4aq=R{PTtOanL
zJM@~?D=vM5wS^XKNED96H6lIKQX`6{heg}!WZeGI_FtqFVjpXQs)o79<97rY?3$HX
z(TdtDi65jk0w`#cUgcW%nvb;V`b@(Gc)alC%z}6d)8D7XQSLV~ll4g_d6Le98iGp2
zJ>O8nrjrV@25p#)4?0xRj}t0{RA&6++8+vw|L}iRf%sO~;z--<mTLiLIQ10a<lN*y
zOG`efEc3w(%Vgtn+THAssSPJVzmdu($f3ecUQ|ww44<q8U0c<4V`H2fOu=30&KG%?
zlGL8vXGKF;?9uZ=;1DWw4rt?ZRV}4C2Jr~To^AzJ%DPLU{*d$gBJzSQB+xI7(Uby9
zD=)u6Xem2q7uKGX=^S0b#jj~5`%5;*0gln5e|ZpMW<7>x0*0g4-<~*pljsN*<is@D
zIhFZ7?R@T!@T;;(V5FvYw;rdXwas{fK5nQ=UTlILe9wjO$3OM+!)(JC^Y-}Bi2;oF
zBU<!63UoB**a<1Q%bIPPU6?XVdnvF^-!R3f78`smoSqzgQ3g*10?;QL=ziS@<F?%G
zD|yC5cwng`&kiMi(`X0#^6>7stbem1e^zl!gh@`(f0Y+7DrA>V_U#$yRwDBB{xa2g
z%fLK~6!1wE$A4!zqh=|Z5Zjk$CSI^@BqBN09Y*3z5T4O{C3vbWt9fuc0yxwj83~9q
zJ-MEKF^2a7d)86HFak4^MqTR3#E0T)or5b)A=1(afSF(Y?2*_%q8a(!rQ1#C4*;jR
zR~p4veD2AkMjP`Gnj&eE01vAH^XeNG;${ot=ChB6YBRbpXIz+Oa!NUa+})mcM0pR{
z`h2!?D9N&*FQeA$3U{=h7NwnPUP)#o&sS0xR+4;qW_`7pCrI_BYs|oeSMEtr<L94G
zFZl_ym276Ri^7EYLc$JXP-#*qL&!F_@EC*pw|aXA7LV~Hn>&dfV2?1^y--Nh1DxUE
zlairFjkX7(w_$A+euJ7_^|&|hj11`73)%_K_mH2Cb9){CMy|>MPv=<>3VgkNk6cVx
zf{!`QzPM+aHTI|xbCzV0jn_DdcuJ>B%kRYh#b~{Qw0sFqu53k%79yq)ZtH2QA(s$I
zvD??o5+n7`Aq#fdN=Z?D6eOtslDSYQn9iVW>;v2jmlZ}@vidf4exTS4b&x*H-Bdvo
znnITs^<&rNjO>zE)b5htf?(sF8AFpDLPW-WB`&p0A*jj(6`Qx|W+#+p`V9a(Sm;~w
zirWzoTD{8Zzh3`BF6k5p7By}&6CF1=y$@;q$9fZX_6*Vq#|Hwm&)&nlLe>AUl>71D
z3j}XnUrM6<_+|!>O`#`+)<~VMHNQ132o~p6h&p*>X3^Phy8@^gF<c<5&1`>PL^{r{
z-h4K%TMFnJlbfE-*<9~PHM=@|n?l_GFQCiJd`53ZvB+8i`Q%7%z=C4Qc>u@$zM{`R
znmpcj{H~{VF^a%3ySnJ=SiD_#A+L~lq#5}!(dfl3T3?#mPR=~pC9?y17!gQ&s6&|0
zQo>4Nmn}gHsawN8A&-r_1$o!gq85(mX>i`uvlIZVw`h|1r7oFf#}rW%1FMh71e|G1
zqcU>lO^tMlrt$90k-p+k6IsIxGqm-t!^dZ6c9+?#J2k=gdE`9j+{GPKHyqHP+#(IE
zEa^Q-k4k1J)#In!m&wdl(B;|7&&8`dPtXk;*h%yy<b0bRV(2k9p$ynPg=))ENd~Z$
zq?o1)pAld<a}VC1>SwMW6qLsk@&ZXtQ0ZuMr7}FMD3V4U*_xUAI)7~T;w(2(v8;2C
z3b2$<3kcEGDv(p88CW~eh>g=5xg#{PYWa_Ush<8X$7flYm6w~c!rmvEfu+#>s_eiL
zrVsPLc8F&ihWl<D?j5fLym;dj5IWhOFUhd>K4h2l2dU?-vRGakq2E}5TnVMwco?%<
ze6{4{%>@BNg35v{*q82>ZPjr%nE`3`#DIi(^{Uik>Fbj4KF{GR!r#r=)u0T+aFy+7
zm2Z>?F!umXuuhOUn&<rsiO!SG5z@nC9^6KcSPCBXZC1O}Ik-t(ZfPI1q%%V)HpjZt
zMbP`o?Y0v^d95SgE;O^-a<9p#j$k0&x>0pYp5!_dJ&Hh2kz-soHa^Hkk0icAB5|Om
z2iH69M%AWy`-?8AB3*~(1jSeP3@keGv(2v|MaaZ@+&qFz^^MZ3KnDO`L;))I_;QDb
zVkP%R(r4m{bOv~rd`T@1ys{Q}GyOC0_{nb5p8C;|Ll*)C@Ru56=6-U&On#EqwAMJM
ziP|%`(*M?y1wfRcYp;3}={x9u_pZR*qpYei7Soo!k!>?D6vJ{<ol19<7GV;Y^}>kv
zrA9olONLGD$Y^ZjUG6pi;?b4bDV9I>yZIa(Ap_=^!~IkP$?hc0<M@ZpG$Z^yf~*jd
zdsbc(ICrHiul+L6;ofYQA1Hse3-4JpAh31YRG1+=z?KTv(wrDIRe*qJ(iH2NE9LK1
z)$Hf{hF`t&e`z^jyz*ba(!hSZm}LFb4MESWenm0!&m!31%yKz(wA%X9Ti~qd$yy=g
z#Qpa3*+GwSUfsxILjX8H$G@*`*stWknuVN-3I=}%ML50PH5d0ZC-kEcKQr6rhv@!O
zWZx{l!*3CxLP|upBj5hf7`Zx{<L9Bz<t1sJVx)t9wNLg8PIGx0$L+Blo0l3r5A@p{
z&7lGtFn2AqkqBeAjDbT7s~6b5A!IIh`AVogk3nLPiEF$^tYWAkmj3VQ|81_7PjsXD
z4$bkvww-lw7zZ~~z`<gFxY2=mb>5`--UBJwO%N=qt;%rXw6r!7Zg9G(4=ww~-+g~4
zM78TxzRD=>S0bTURoa}^J@N6BOm7)QDPFppg_O16IvFix57_38{iLW-BixX)V;~1s
zKJHQ=R=M;mG?;*mJp*^3_$VBfT)xQ~mNFe{0B`^?%KBZOonR!(bK7{MMa1JX%GZjm
zF1yVDU60RBG9@x(Di9)=a&bu+4lGC1^3|*wJ9;bvp63x{6ZnnT$hh#JDU2+Pj4a{{
zw{!cI`u?lxpPleO55PVklQ4a6)6`%apP&a)xQM3!^T_wf1lSfZ7Gv;_C{E9jNWF_2
zD^VaEo75mL$1+GMXuR!hzF;YrfPQewP2~E~)s$$tKHT>5^z_p)A+Pb-=TuyG*#|K(
znUjj?zC4SH81HdAv*PG^omU8pNak&Wb!RUn_a$8~nrDn}J`aI)ci(8F5_~^@fwV}q
zGHVD94*et)>gx+NY;S5m4PSzP-k5yrC#ke5nt8ow+|1T!e*i2jKFHVw(Or9>)OuMR
zF(D!0O~R5K2A`drm>lrWMI;_?-zRl*ZNcUj!sJHan8xU{XDua?*|Gm9;r?^`(A_*_
z(<vA$QC*YS;UDD8lAD~@R);rto$}7bXtQjQY;1=zQLGKa#EpETWvM$yYja*DLsB0K
zm8Ww~Hd$KTz^dFkz<IB?Dis#ADb`vL$f1s2!8Bt)4N+>ZeDF%jRI4!yZ|it3__%)e
zD3*!Y7-$Wz|BhG1AtmWjAtPwGd`R_~WM_IRMVR?OprR;0EGI?unh>RpHpdc{mZGtf
z0|YGECXlC9lN$$=+rRsJoBjPmk?RW;SLLr8lfBPPm_8LAI`n-E3w&pq3p!RGbB<ut
z!h~aTX?=7zIrIrtt#st_fKOm)3x1~FCtAzC&7nSIA)+js*O1}#$V#QyYBy=uBd2;&
z%_cwGGjJmX@%pJZv@rHq6n^(mrt4?xNgR)RgzS$SwXVqUIztE342r$eSG@l50^a~}
zfER_>ji1mibkh2w2d_W?mZ#QFua-HbrPua%d%HlR-e4ZckW})d*U)h6Vp1&LbH}^>
z9qq&@bp&YnbaSURor1H#(pnKaeQ7MR(+WRoRO4w_aH4sLr)tIKPE(4P5wWxmgyObB
zkdl~qTg`en4v;bXg6d?#Mq8lGKUWcDJfq`U+1LNG_-bTI1$@7Hde5L}L6-!&&#!kd
z?aLP(@e#qbO`x2$+HPPB#S4?!x9j7#@lMwd#6=#_76o5(@LN9tkrwkUBx&o`_vKq6
zOjT1->f<KUEP@o!ny_@cajt^qaJd<U!3?jbwg9t%d0)N(oXOl}jQ5m{q=r1*Ghi&I
z)RqJXLM~vcvh=Q7c>&rjJEy0?o}2y8LoQO`&xV%41(qz;bO4R&9`K28=|r<^N-TKM
zLWE*9(wdk93yRa+c(rcVZyeOR1L&x+s=tvuy=M@SG={eF$Si)v{-(e>uTUVRv=SQ&
zPDs^U?Doms9&diqdRnsRL0S@h1h5<P?w&!YnyhqUrDuLvU&DbZMexlCO_Yc2F|(zx
zv8v`$OZJ<#&c4%|&dD)+-arB5-SeB0fqTXmXPHqu`eX?cENMh(xAvp2QmebbOa0!3
zS@S{M$J|o`P1(=$Qui02Vz!`Z$8(J3=#<FAw=Nz|uP+*oX(qj3j*EEhH^_Ru<4#MS
zLmTGnyS;oSiRZ-+N+06HI-JzeLxJ|T=3#{jM3Oa*LZO_;z&4bKB0qs9&tW{`{Sgzy
z%C6L@jqlmj``n>;HVb>~ou#|_PzwfJpE<yUEy*R+l8pQ0bk&#xDDOLQsHVQk=Vyy`
z{#V=Y7l93P9)ShZGIv@fZ*-!~Z`d23Tf(n5_2}t(0(aj?6~AE=b?B9-7>2J1-=}pS
zO5-1+jijD&o{((nT{!i2bVSmqbJK;(*zpP=ij(~Li@;VZNC;Wi*<n~Sn;q3Bb?#Xr
zq&<fvZ)F2^@5_(iYS9=Q?51uv?yx>?Ap;HscRdef;uz*>&9nrFSt0Y6%BQ)v!DVhS
z0CGK{#(c)%k0~?Imy7G#h(&0KV1p8Xm0#F12<Z=80>j;O2z{!G#8rgY=3RIt-+Z58
z=MxOLIPM+&PEE+`gC4%crgpbB5X<1m7<2mJPhIGKlzk$l05e58J6-ZzBLZEqW#cP;
zZRWGWbf`fB13+Iead9!m&F1_M%lcG(x%-=~f(DvJrSBQc`I&4vIG#CmchGkT_Jd|W
zxweu9S1E;xd$ecjzQ<O;Jfj3I1{APoP<}T^T+F#%pRu*ZntKLc`g~#l2Z0!RoxI3r
znq2s-DCn`$NkAs*v^D5Va<5Pc;L_K>$Wk&uJ<+cvT_vYaut?}C*KD(*K}5<K0D)A|
zsa<6nZPO57t~RI3*6*{zr;wK_>7~~{ze0|BRoN6(u*=t&I5WG4T2_3cjgR+ZA__wO
z^Znl&UDf8>|3Gd&Sw1wRY!!BA?Skxwa7|!O69!A2MJR*92^(bfmD`f6=?BKF;%3$D
zw(-=IGG8RP{KXd{;DR48oSLx{J)hx5_p}<RZ}LjYX0TJbthRJp{LFW+7po#L@#IUA
z*D5fGqL|yF=yPi`o<`aEQ~&?Yy0-i1Ga`Q^z#+dcDA`Xk-;F#;w+EuoOYp(r(3r0)
zsZymP0h34%_niAmGLCxqicP}U78Ko{KWpoW3MJx+#|l2mb??{(%LFWFUF3P;h-Q0v
zG%_bQw-$MVICP8b=&zP>;#t)0YV-!xDFd&gT;fi`u)CLu^9*Q%F)Xybz=ANe#19QA
z0}pccv0}3oT1U{7#l&6Mpdd;pTSQde^RqU_Pc!ZLxr@ukP<q(<&hP$?-1`@(m?~Di
z^IDdl@w|&1X;xYzf(^w()=TTEuWV1jRXb&&+{=2M@F?urxlHQ1+ww6|FTT?83Ipz<
zgwNA@8OgIuqr|EX$Y!#HphV&)m)SYvZP`cmBSOwr@6Gw{UPx$jPh5}+_icBd#zaZ#
zF1MO|-G#_flx4;uJl#|=EXW-`O`p8I4h1!j-kju?S8Wm7yNe-#%~?fPb9d@${04VV
zgy27uxY6?Lw^7OF^Ab&QER6{0-8$2d(N(NScl|6eTACxNeu^2NKkG%_oC&9vn;*?@
z)0SdDAztvZeQdIjgPKBQl|;E*C>ll({Tj|Fn@H8e9DA<+`b!T^Qg+&*<~4cYs|8*0
z>v@m<a;8OR_TkSec|X2zl15n+G;RwISrCDaD4}*+*Sc9(BN7=io4#;1^8MHUK{QQ9
zrg)e}(X{RW1rQW$p{;=k-O`=qfF=~g1zoA)s|6_k-km*zNB25!chewqRQ3GC8~lmd
zC5`~{y>_-!4ZkbUVO0JjnP0abxnNAqYqmcrXcl?yTvG2;Eb@byn9$lek3(4YF_$0Z
z)5kcenj*34jOoz)xNm55zdm^AbE?1#gIEK{U2n=%<=t+(l_XkO8S74h7raiFrB+L`
zc5Oq>irl-8^qsC$NX!&|!PWbq!IFlGVV<D%^2luhu{(_x%4CCIc^qxbDIg%F387yz
z2wv6!j3u+CZg)Dk5@u42=~{mtG@;Ci8kL-QI7d78hVBX9$Y0542B(Z8ZPh#B)Qb8U
z7EB@FwTpAli>zNxvWf%EeMD$I-A3{>=y4<5C#18{*0|Bu=s<9LVD7R1M=~bB&7OSV
zT*doAk*N7aM{}MGcKgALEy6^-m+Z6TTw~_Es!HPF9VDD4tNezA=1Hk#I5YoB#g5X9
zm=nlkB0=s+mSfnWxebs7X=r}YJSx^phiwtCx$0AhV=g6S2sxeN^|+JMU`3~Vu(J#P
zRmj~AIH)7zoMld&6EM%>z|N#g#UnF)c#jT#o=w<+4e%NR9#+I7?{l7ADDv6=^kn59
zX-0iiJLcVp44DIa<<_WV?XJ*;$3tc92S1gOk$DKK>>ME?>#l^LUSQ`$GkoW1AFs{3
zAF;RfMLwL*Ai>_edClselB>rf!Y)P=%l*ph)rI>Vq0k6xK@?hF-08Wl9d1ar9q_xw
zBax-{`4X2rqp@7)4v3`Rv))1*d1K^t)rNwoaT<!});SbuYeZWcEU(hSp~S+i2gEO{
zzPGE|>S(T@zCD<NZ_u3HflXFdjLUNmcaTQStf}F}Qv9Al*CHnK9f*)FN`!{w<HOkg
ziQ#DZ+Quu9@K;ss55By!;r`$_FILB0{@0(Ly825;^LnaqchBG@x$NPzRGFLf?nD#K
z?(&rEQt&kI>EH(4-qo01rzlj2MOAfPPzf7Wbg%b;R0WeZ;pu0T>g-nOJse+g>TI1p
z2FQb8l)*uE0y|QTe&@S8omuW{n<d>&lKJe~SK3TD5`cDFikEav;b;1Pk-ukf^SKtg
zF~bo9w!I6;*H!pkP|2hOmb1j$U{{asqX>Y^MZ|;FixT6glMhF?LbrRaa9}<msE<Cm
z`}33emhM0Nqkn|~Pd3K>o9pG(Xwoq!Cnu0GPMe|7SH@Y^qb7H~U5^YR5@9)TW+LPe
zfCC4=N=?rYof*6{yNOl-WCaZ8Rgsu!<X@wU8GuVvHSU02@5%N+c(dD)T7fxU)$77r
z#5C~x_zpp`0TBIl)`hjs!8hou?nk!3u!j|eIIj~-Tpnz6bbM}&+_ejW7?xwpPk%ni
z<3EiVxc9D`Y9A`-uSNqkfQ2|3K@@w3xSKiP9~XHsZqI-~s$DB}s!h8051*V@e17T2
zzZj4A+aq*a#a90Qrrpk)5uqE}?8B+fY!<joXkTHLrAS!R4*}}74lJZ*`S?-vbFZB>
zx@IL&6Rv)f>`uHF_-;6Zm9n{=sV2%s4=SS(#91y`cX=)vCL=i>uN$A>jq;hTE%}ws
zD({4tX3VH)MgjL57EIZ}$V8OC5|v3-ilQnn-kKc1L7~PMUo);BC_R7D3tWx1++TKW
z+`Rs0e`k9d9@+H{EMX{DVoPq4pH#|?T-l^@vGD-$iwB9_`!PO)iKX-}=}<2{_cJl6
z#tL^Rzh*mY0Y>UT`DbxHz>qpfH`E+_hXC}8R#{DdUe4A!&bqzegW^z-grd1U-|ZU$
zM<}WXQJ+=n1{#RaY5C{+J%e6`d4|?b8Os(O8Amp2b@m_grS2@XsHD%^IDRW@Ior$K
zZaP)7``{HLX)B8mFpBW^!)y6Dv9H?rLzW&Lt!^U)k~OmP<^D6nDej=R$0MDY498`4
z4Fx~h2n$p3#~G+0f5j4C_#(Up!nIRLSmV6NxNk-UCsX4X6<<rc?FvU<yV>1P&%3vK
zU*J{lbCpfe1S6u#X0xuPkpv%`*rX@+Z0SDlae6{^c0YpeTsqv<ZBCUYZwiu!=YN#b
zfxE%DFK5s4`oD4v;WhCl5iVS~w2&q*i*cDL97_7$X*Ukk;)FP>k8@c0baH7l*SLe3
zgh)r;j2n2l&UC_(x~W)_2im1RX|pTfU&_Q&6Fg$6Q=E?7{gA?XxKW%7{_Qd6Eyah?
zHtSnI{I|)|KUGX%{;*cy1HP#7614-C{6Z~^2`(b(^Z8DU(#%b9enC)trzWIJQDNd0
z3{$LNzH44<ok;q&-u&U4#Wb-6Miqc+S3@9x7H1ucFkT%(*FL(UdrcRG@!6sWIpa&J
z&bro;DYHF;e~CTImVMl><CP-+0W5y1*?N(GV+jE*nML;Vyf`TS2J{9@x^O8(<<f@Q
zu8eluLEr4llClsj^z#g5Vs4B5`#GNm#I8-PzunS3(#biY1;s%xuhLwLb{d#dvsrA(
z{c6arll@3w2D!O6kb7c0Ys9i>HXYtLnB3zP)rf%;n2Y<&#YADOsm+36DJ(~e5Z@4F
zlK8XX9o{usKkX0H^VcZDs>|58*jp~^sP9k#=kMZclDmQEj;wT0a2EJ1JboaIF#zXC
z*e|Oba!XM{*<v#{so-g(U1U*;nRi*)5+>9F)~*df-kw*@RdXM=+$*g|mNLFTs3Ke^
zIma7q1A!t;PUU{4MrLYlPH;Nf&s-fHV7`0!^s5#kvB2c;$=2hHf_FWl2Z|nVhnjnY
zbjiWP`VeyAChGs5KL4pL2nD>+$yd`e++s*@u%UlxU9Gm=%k5(HfkUNVd1uIeP=tfW
zLH>D*IZ`(6U9YN++f5hTTF_OOZqt$_%%aCN^ZPk{!4_xkF(}afWHL~t*cf;s1d`Nw
zS3BTaHyH@O+q)WQOnW!LuT1p7x%v)cyeIn!P2bdC%J$85;RvSh6#i7R^jVc`MGW;`
zz|+NTrtSSs{SkuQN)-wyJ31(9B+V}Yb|T7~6;ZywXtIks0RezWav5=>H6$gD5k~h*
zo3RCtkq!*p3X6DW&yvCpPI_^F5}E~;xRKy<jC=2%|9s$!M*{_hrw@!ik{K|ZiB}q7
zzZ*C+xK9wdXpA%)FnTm7w)g7jhEvId<054Jvywk$`Q#+!qDr9Y=q`7RF1~83f{X2a
zGmG|T?m=Qz$~=Deq>8uE>5Z9r66@A&7}cX|@b*2fHf{G|v@{ltf@hh4{!V3_A|U}D
z+J_cvyJMrPH=m0zUTay!q0xO6Hs!t3&9EZq5WM9Z$cB1g=rx(J%%8K(Ex|)P&FFm(
zAe?uEItyq3EG%XBSYBN{Fr@0TTYYi#+*y$)<bnQ#^tpt(qT1N%kGsW^h+<UP$jck$
ze*gJ9CBOPxXL@fHr1b4?TATxQtj@Wk#`lTavZj@17ECA`(hvD$Xt$8fnlU>_3@dzf
zp4uWRE8-FL=9|eWdFVX@yO&!yHX;prBMIu;bomm-f{;TE8JCu8oKE$`-Qx<s-_B0n
z@xt<KqxJ`3J7X*QE)rfFc<cZ+)*B7NW)EN^->|*?^yWTn)Hpc-e}awsyzVx6A2uGm
zGCNOO;qMuE&YpsMNKZm9>=~?6obV5tQcHi_mbh^YEj|e@o?E~8Mz!SzC$_W@p{8NU
zp$lg%HDDg~@$=hc0-8^LE+wm@c$xR?{-WbYYyPGWq3XafQI{gBR7o0%W#<&LK0*CA
zi71Gi0Ed3ZqwY#$ZEIRCF_f}<&2WGmi;{3gz;=R5cW}*CKnMAb$o49-cV{7BOXD-8
z6=wjqSClMzQWKdpM_x@^zvQ1HyHD|&o*$bb6zsE;#E7_x@tWxVD6!TJ?Rd>sz{Qze
z9IGS+9ef>zGqXMTx<AZ^fAIAtGI3Wn`JYr-=5D<H+kxQsGYg2w;$(f)QGw|rZ>0?+
zD<M7;S5k`|zS>#@Dsooo5~YO-pCBuT4=sCXEzHj;BP%(d5115P5%vkKe9^%sUg>I9
zjZ5Gx6HBE%u_j~Ay|=7JFAplV_1?!|m8Bj+q1071d}U*rgB{;Ie1gazlNFoAgQBXA
zXr*zw{O)LRbYForKHENcD7sq-HA8${&nd=E>e|Vk8HA2N{7BNc`=uSsdt+R>a>{|e
z+##MwC&VxCCi&z0XeiVWfIhh-!I_-DYIA+ZGXxa1kB1ci1!`C@F76@o0JoTFamTiO
zGtCh+LdnF~oLi||ZH=C3T`%X2jx&tl{>miL!gXdI`~)gXw0jb%oU98UOv^N?sF12f
zwkO)@cswn}UVDyK4(fOl58q7`h7;BXL*F!d?XRQ*(T;0FPH=@tir~{S{W2E;wHeG8
zcS%lV!3|w~_~6q$qX0Pu5?hWFc+zOEwpL?kFn2io6i1Y%bxZ#Oo(9E#T2GXS8*)Hj
zQ!Oz)OE3nRhtB^clhA@aD*&7uin2>YyPi7c(zeX2vWxm8@1>Squ1k()qcf*Cy)AD!
zLEFcES(J-;Zt&leWq%y$y%>5uZ6s?{INyw_BsZJeANpzl1FhmzTiKoj9cq!eIYAWH
zr&$C@U{-P9_k(`Z4(*2CWs<C1h%%*j3!Q`qmHg?<V9Cj(GbA;R?u7{{5|U9m2z4+p
zHgel{GKrut4K@Bo&Oi1rhI($oC?Ku{S<IH$Q{T&<{Bevek)C+Ll9K08Sr96`H%olO
zBh#D*3~t$QH}76(0e;#)d1jx!48U~cv`rk=6>_M8;|Mk6kaAldJ&ggJovI(%`4@7}
zg^@(bDaGmTOF4w7xO3~d069K}kQ%bV^r}l1=F8hookiQ7%EtSeyRi~8mB_ev591X!
z$hZqT$AGD$qCcejWv|zVL%#fxrAexL;{*Lo2X;;2M$zqbv3`hC7YEqYo|H$THfW?M
zG7as#oTZv&`h}6kO)jJp91orj*iYh~`#CduKN00R7x6s3<CoWLeV^3H_(s2Qs+Ona
z<!~;4mXrETPT<oy-s>y?08o>S>fIo0bbD#?Y*_BycD->T)`~v?&P&b8O_hY*hy4D3
zsW9XpXc)i2D}NRmk8TZSivsf|Mxd!ra^m1F6+X#RprbrmXfv`kK_y68qrQg+WukR0
zNb}&Nj`GT6@aFSzA(cdnwtae4Q}OCIe&gXa4Iokl?n5edQE6L$Z_dRjVJmq+F=F^s
zx*GM0I4SIMfIxpgr-@PZCA;;ZQarneJ585DDr1BjYN=q|**VQQeXWzcy11Ay+eD{O
z-amNaC^^IiXL2E}@IakxWMrgLt*-tQ@o^J#o3sdU1O|Kh^9kOIumjIt3$rIc1RTP)
z@~hC$BdC;!3fexM`n}WR(M)ZMrRTz)!KY7AwFiF1hs-y2iDq92J*(ga#t7s4l{L_F
z3YA}2@;KWnV#>NN*xW;~p;JKbf1N(eh>qRQ3!cN=!7JXP*qg0tPc%nKcp<nb=kc1D
zo;g=lnQfcm6UU0g0Si!v^TMRjO|Qr%n5Ri)>zuP|x4fjb-K*LwFpFYt$!5Y+7p%J7
zQ4;DXZgYtlO)c?b&MC5)iVG8sjzL|ju}-EB!{)#YA&4Z{kK}8-{k#q40WB34Da!9E
z<T713%B^eHHMErBMs7*c*{vid-l08LAQteu*&7{VZPjxDCYDD{(5f0?*NZ;-n^LH^
ziqow<S?Mx6>W=_pT1B9*&pMMg10lp$t9rCGA^M}o%FmA0R0;?w!NA0fqIh0KBQcRw
z-qn-S+TxCXx{$JV=r@TdNSHpR&7;+n^K6Y$?t2x{*!-~nTEI7g#*|P)4<R=ons=X3
zT}5%*`QX1)#OIsdHM^2$**1l)NgS~Fbepl>Onv)Ba<22>o7GwuLb}_|VaMWk&+7$Z
zV7OB(OO;rqnXkFSeYj^35>ZZW)>-}4ljPa4oMNbnpH3ZYV)_}yuR8^7>zCG+xzAQM
z+d_bO+#TYuZgp{%MIt?{ynE~EJiFo}1`PWctAYFN8Hm?#^)#f3DeVRtg6ewydNx_q
zoz|r%SKpo|gsYj|Kg863*F%qTcfL&6ktM`VVMQl#^lg$>oM~HZ9W>&#eVl#o_k^Xg
zcguY?V;A;GDYK*d#uiC6NyYj{`sSiQ0V9J!4+`EN|5>@huYO*xaM0c!ICw?KwC0R^
z3-O+D?3B|T+WwE;)R74S&`VJGcJ6|azQEz$wKZOoS4}N;&~GVOu<P=QB|u&Cqfkd%
z2_~C#9;2n`f%to5)@lk|b!tNsBa$I;aX`=PMb)cqVW~u+k>rf+8LZM?>H;_V*0=ID
zp(Y;}KCsnl0p>;(4`p=c=9t1+#h$@HdE1=S{r$ik=B%TL4nDo1pA>MR3=w{2b#_2J
zeSZdE7T_7x(-USx{Gv|w{R4mkrjVj5I)zpd<=bK_-zaT8H&6EJgZ*LqXTXh#TJIaG
zGZA7}@@WBhbbsTY;CA45cIp6LfF(pJtvHlv^6{PlSW9*cw(?2SL~zfH_eCk4hY^x-
zN$16p+`1BcWGnRi*gl;xp-1e`cjdELCPd0U@PVMvmO?_uYaPz<`-Z4d>-hw7SDo+n
z&U<6M&dSXTt~%y~>Buk1s(I-~%Sm;@Y^SLDvWgt-gvuc76aO9dQrG=5x2qa~Q=QlJ
zqCBc*!K0#_!QaUwEGJ3S_^;)O9j-6NdQPDck+imuwor%PDncCRx#eq`iRv-BTSu^A
zzZvn1|0oRlFSUOnOwi)S&Cca__uQ)*|FMQyek7dMfmGzqfsQbj`1T8f{tZJ8#lIl&
zb{$dtm&aj?#NYPxc;$FDN}Al-$O^L?yfw;^8cAnhVqa#!(ujXCw`3?XaeE5%UNyD3
z8(T;Gz{qJO5!c%oy(Ig1Yorr?rdJS=MDZW-P7VDe_;4nN+)FA5g&5~C%77>d<N7`*
z2cL>X-Xx_=spGeD$NQ)dMTlrdXO<IaJnqqbHn!tT#LAANgx2Z^=bKYZCto$%MY#9j
z1yN-x)S0mE0E#plNRyJp(@Za^#Nxfyhp}D_pEQ#f`Y?w>6aZCRX<MpRapV)|yJm@Q
z>*Qy1ychZ8rVA$>`3J^`8AZ_yEV<DJI!k~{wyt=;dG3t2oZhgj^W=WJ!m@nQBl#}&
zQaV5Ewj}M6A7=~tjm+UxYhor=b1$!!BV{3j)(e@WFCH_B=XOVs9}w$2M|YgYvaAmU
z-tF<a4L;kQ8qJVVNk#yP%5zF)wZfb<k|<?t<4slJSCzJ|k*B<Q>n%n`^wdQ4e-noN
z_u8eT&P6-~^@!L!WAw0NLRbl}sFrSn1v?)O#3~@lg-(AsCfLR6!M1A<MH|g)LNTI~
zqj+cgBio*Gfc@7~)}erx>zR%na@o~oVMzMi<E5l;nSxiFW{1Tlb6v~ziG3RzAg@&8
z`sJGkcwJs^k1hM-UDHs%<kM*D4_YIEAn)Tb14Xobu+1%x&^-^FtcU^LphW19>$h2O
zu-L*d;ITZ(wqX;IbgYn>FgxJFA$3$oZ`bB8z|>PB5m!Lrl1X_rQ8P<EA=R6$ekYTo
z36E-@C_T8m)Jr_1>M2Gxcp&e43(R3HtFu#Jt4@LMM<pXP;kKtPuiL4lxPUr+rWSro
zhuS?8wQH_Wh=mU4m*=z5IaRiegnXgCDTnhcdD9LousJ5kaCt7&=2VlA_c=A&tgXA_
zcH2C!&aC3?_4)3^PSL!CEl}MrwfCSX#U}Y@FyV@|c>&vGiY;7NYvWjVU?t9O!<p@U
zQMy#|^pudB%_eu(P?4E&UOVA-8bIrsq&d6&d{Dj5b=SW+V{biN$K6bs#yObRuK^@m
zzb5BXW!;O+-j>nn*!XH;oWoa3;tK8!>hg?jR7J6%N+CJs>m3MQ&$GmR&3}U_X8O}f
z(q|kE0zzKv2`*+iw+A2}tJEr%&%FA_36^=b+TY<a+m+9oA+2S4t7c9O?sCRhHAr}j
zvo;$8O^LJGGjL?dwkVm@OZx-~CG4kSQ=kHdfF9b9hc7-V8gcbrmY1WPz#PjDWNK%w
z-3-8HtS`{}?xtImrJ3Z2L*lllyJ7{QJ~I{F(b3;sjS7gYD-P<&-Xy?$q8UDOOdsCM
zzp|qAN|g<?7FZ4aRO(h%W*<@Z=TbMPJ%hY4AZ9;$c)DF)jh&j}_?^5MlyZmt5Eb$W
zD+VF)dj{p5ZT>`9(U_G+0Phh9O;?8OeIGE;rb)I#Q4U3Ha~F037mdc93#_ETaIL{X
zGjam7eMdb!?7XcceMuDLW}wHl=Ixj~7dz1>W~-``h*O<z!z5=`_d{zsV8z#T7aY3H
zLD=X?lCo&8hAG0+zge^P7L(TB!h{RsQl0P4-7jKdHt2q3x{I?+sO<u$j5=CuhCpr9
zH?J6WR~G*HYG}(g+uffYq@8??27DKlysXKFt-xk0@qFetxIPRhp&z3X2A^Q!BPjJS
z+38;W@=!oPch`zl9Q(vE2q)7Org!=2j3-&pA@#~Qr91}obVn$*;r3oxtCFS*ZgQNt
z2jhT(?5DVx&X7)GDIC1h2RCb218%P*1&oUKkz$a@5L7%Vfjzu9<kx#jabjxb)lb5&
zLd6L#UVQTj$)cADJ?z#XXZWC>{_#^Ljn>SNC#p^JN6hTZF1T{Z9i%K~!Mlf(rKout
z{Vd5Me!pV^veN0FwVVnQ`h{+dwCS*$4SK30mX<s_P+$tyU7Ba1Le0IhR6IUS5l^r+
z&s6;Lz}-3SlC=#kGq&pPR``HI7oRZSxO!(PDKuyoR64~(ih`Th)I-+?@<kJhJH*5_
z@=}?3-T!0m&7;ylv$Sz*swy>Im1UenjdA-rcC;*mmND+zbjQRbZe3bY11=RwG>S;v
z7ZAJ4?r6k7M-yC7sVr(4MS`+u6zs$xWe_PvK|vvkV$dL>f}o-wR#l(hd^O!O-RJzi
zneUz)PyX=8;a%>1p8G!c-oK;>U+?%SY=+~f{ckTm?dxcXQXileh256A!e?xG7TGm4
z4-%#?vQ;<ix*<8n=UK+zT?F`^%nV<F!Pnp@8HM0z(taKiQ?~zh`y;&4wiox(VDnpc
zkSFIyt0#wyLz7_jyD$IBXuto;3U07b2YeQ})z+3Vt&jx{R?R|Ldj|@2XRi10$t<8g
zib61H4>BBcBel8v=F@4Um>=)>u)AT`5b=O63yrp{BOkU@@`U~9B}?_rfzN^-Ko?6?
zG27vbs0fuMX*3QxF>3C;XY>@n%INWLmHVTp@c|JK7pv7Z1V6#)91>erF5|OiOQzQt
zjGIq(gvrT`eq(Nz7hve3D}LN9{Me4&w931O`n>AfBq+uvJbQ%RlO8<XJ{;d`d|Psx
zry&}fKZf}GcBd2vBu%V*y<`8h;f9SUS6$>bduCJFIw&!7o#;`8r>HpJ4M$?;WGbPW
z(cnxY7W-bcoqf1!<;<ILZaonf@G2z(sBbg78~a7<R3DfE>*^{7G_>D4s+Wz#_8^md
zs}>TS&|NUd<DN@{h36ZTbGT0%Jmjp)*@G}vib^AvIlC62zmat%U>Dsphc~HkC3G7*
zP^oWQJdr)YEZAzX!N1o0b6{Ys(SK8-{73uvNUZwF#^51;kMaq0LYr=<dR#v8uU-1x
z{C3^SifEekE~D;?qty_<&O{V5=|27B8QGsL{c`v|(?~x4;s(|dq=$`wDeBMXmEL{!
zRtu@gi#kv~Cu13+6+WLNsG-SP!WpJtdsl<msL;=XDT+Lh)>nF}w=S<>1eUcl@6{OW
zMnH(*1pxPc3^q6#^kL`qyNF03tlDioiNpL}Z)W8}q|t{I;m#BFD={-m{&@iK^yDN3
z%nAxiqEHVz2GeLw#F(Z;%DRShzP0p_Iw|c*9J*`y)8)blA@?GC+jG@`UEaq*k`p2i
z#1ZPpUz8j|blzYa?yj-lV;ORNKQ)SZx>+~YAN$J7%R2HSD`1qW%Ae0^t^<0j7AcfU
z+dhGn4-4(Ro7S@y`uQx8L$nD5m4M18XSk?)i^<k$T0(4H{f&Tvhl3&-56MeVz$dmv
zuwUiRk@t*l5FCu*Rgm4yT<0T)Rvs$7zyTI7KnkLNzLzz~a`R68x@kw~AxnHfH}N)~
z<DV%qJ>6*9X>c|ProP8rA`e^Ul!KXQQfzh;a)JP{cEhY`SJX!s(`EZl3%~u3gG+z1
z15iO+O3$n7<MKxA1e2|1d6=SoegkzaL5**<;TmLscomVgB(#6o1GqHBwiX9`+8jen
zh|Ou)0Gr~?nW?*irQO2K3BzHi((fWA@hj>b)nLDQ%X)RPe@IQ=a`0Gn`-Qa0VsD#A
z(q>Y6W<7O0QxE0>aehG~@&4^oy-_I-A6{i)R;Q!tqq-@pU>0h`Wo)zQWX-MR$<8Uc
z`JR#Q%<<t%)bEzPijyh2=(b1Cog*J_xI1bq`dU0*ze5Im>ovnz?_sZbolKg7xu$5;
zDxjdbxg9icz(*pR%9OFOOTTah-AHt}{<H6XxTvB2M80d<J6ZF=;|^YD7KZ%VE(gKz
zG;T2)7-c6QGgFQhC;)%YFS&7`P;?&H?9@;q<FLnvQfCw9jXUc@$o1no>mZwAWj_i8
zoLMGZUGG=Ihy7>V`;`<o3e{_-BDVTexz=;qtfDX41Z&SdwLJ`;FR(1yGh*xlppd){
zO7h5_5nbs5`I|fVp3c?eFU<rDbh)7R2fEzmF`ui$NfJuP*LY0|47h=QQoGGZWG2p$
zK=NtM!U8BAv~72suoGZh3HfdAnk7AF{Q?^6Fz*%n02LW*@`y5kh8L$8AnN!ypO~-f
zS7r_~-BdUFb_(9EYC2wJ`ZlL3Gpmj&BtJaeAk%!)KMAGRY)5UItxs}{)ndn#$GsS7
zPX2Tx3W!x!ie-a?AdwSaoT6OBL;UuP3UGiH85ELBEItu+zwFV!g=z=3(|sd^zdQDS
zB;%OgnEMj-(K^vvry3!<jkjf15tlbEq+;r`MALG#O`>C!RnMVv;rM*!jv)G2g2^ME
z`LiUF3D1kIbZ`yLtXN?8<G~ZV2?4)gC9z9+@fNVDrNiL~r=DG35{F0aW({Oa$z36<
z!p&8xX67WRD}9uJg?PGB6;Q;9?$4K&uQ3TkLV1mwdNrcv*;fPQ2GZq8ig4U7e4r2<
zfZ8#V36Xa=-4P|##`}cdnNw$^sHTwz3x#!)iHS8NFnZKV;Z9itimw`u4&(+0D`3}c
zvf<*f4@RP|DGPSL3QR^wmd;|b%KqV}&pR@&5u26`<#+3dM!Z?mB~|@)kLpbm(Z%(+
zim5Q=U`K6w2X52Y#gvrvH`ol=+6l|34(Lj7Ry1bpMZ#$jyjHagNhH3?8^Qrv(fHRs
z!hrDpsr%gcoP=m#j^0z=7L6XVdQ2$nz*)i$ovo!5tvFU_r1uscCE8`&Pz|7KQ)Wq}
zB66JIp*#vbBDPNG(8Y=AvJB8Pa~nv0@n?B_@@w$9mS^E_GNgBuM=gxIK(BQ0Y?|oH
zruER1JD$rgqd)DS1@*{}O>nBmM}odp7KMjw!64u6wt;Dpnd6gl-r>=w>`rQS!V1AN
z3jkDq+H+wHX`TWNo@G~7>X~x%VnAgtqbbK)@}<~0cJev=H(420_AOXDsL5R`xBy&9
z^$Co&9$bl`w?TOBpXfFrhAnw<`PzO*N$Hcw{V{|t(k3t^<#P1?$lIF)Nc^a=v8M1;
zW_iKl#K%#(j_M$5S!|&%vec{%6?}JWLb~xR2z@9NfB-(9Oib<@^gZqn@+ErDC?FIp
zOF~-x-{=nWpV~k5j_bo;ZD2m3jbwSXn0B<EPr+Cgyi14PP@dTG&VK}7n40R#kGLm%
zpxCe1iRoPU=2lKi%-ao^S={hs=bB~X%FVGi+R$)faqavXC#5tJbS!Y5;s_th%@SBi
z6OOS`=Q#+^tlwli2f;F?Hoa+2*XAV4NaX#yJ6b6_`u6wjn}Rpp<(uSdd_M6H(0D3^
znhQy*W;Z&<PI*3eZuUwKdO-WO2wFPuEzKpt?EM$wB(1kkDch`Uf_YTsOI>kf_5j)<
zYEu@AVmdyhrn$7YkDa{7FSfnNwW@7O>KZ%4&tU`pZ2ZmNo<2P9|0j!SDku$9F{|Qb
zRia1nr)1!u3c_RgP=B?}&JBi^tm4j{(bVcE{96Dt4=<7Eqob8u^<M&0NSwf2c9#&5
z`PJ-lp;ohJRNi<2g7~t($9tSz7=3y~esf7B+~D&DVm;ejQ_7T(`JwbtL{BG(Z5J!p
zmN*3iH*2;CqGw*7VtdoOor)WrqLtvplkU2MD(jVtca+C(jrljkr2+%;+E5e+q3@2;
zIJ^6A@8-wJKsB}{D5JY`+uX|^Qpqtu%0H)ai&m2F4Y?5vL@S2AOf1igwv!EyrIeW6
z+|ry`p5q86W}*kP^A6#v=UeP9tv6FkZ3x2cY2q&%5joxZg8`--Qr)_S0GlnRu?w|h
zud4$$@DA1Y*aABA_<BzAsnP-T_hq=$jZ)(}z}dO8Cubgc07Cf0Q?z3pX|+(C39N8_
zicLv8sp}nHSSgN3N=L1~cI9W5CY;MomzdzQo))$w*0+GN#-FVD#I-@wZ6cDnN8TSO
zimveXW_%ILXBFJ-BUfN?Oh?zI_gt^G8VCQJWMnDQX2)OPlEHvmU%fz2WiIp$N8N8n
z4DWXBv;p<eWF|x%p0dToAMUWkS(rPN9yk#e(vukyRU?m4x|6y3J)?`dZ9z`P{9<R~
zyobwmCNq(3?l}_RmV^~i>>2*Sa7%q;f&(rkRZKEbgw~VNuuR2AgH$TZhlHw}CnbDj
z@wKYDe6I7AZoa>u0)er`^lwU-1VXx+->#Ev(q(|J{??wokI92aqXi7UEcL5_OJz7v
zABX6-V{j|*`JuW!qf{^pB%Wc^v8yT<NH-;>9jBvb=BbXZZLH;Cc<o91!Ax17{>1Zc
zg@Gc#PDGtV_$rSE`QwjbMaSlK6_n|D$ez(htc&EEs(bmE(}kWeT_^X|^%+jWs~ctI
z0%6O_6I?Nus4qR8n!diil9|8uHsffzwj1xz%vU5L>+1>2BGJIjt^Q;%4Ic99-9mpU
z#T^(?L*iL`8~k4m!2$h%;Ba|=RG(u)IiIw_r(kF|F{R%aqS5g4#Wvj`KSCH<{xNuF
zIX&x`C}G6bju@t5e1Qr0?Hawcl05J=)NNv*5Tx?jNp!$Ep7>#w<B$2ZAa!*_=ClOh
z-;f=}e3s=!0uPPr&!O!mw}Q*KCiv62C@?`sSOTUrm0Dk9-|kW(mw2If;d@4*8;d4m
z2>+IkUM>$Z8k^vGWaj$2#r_FW53PD`N<+;&PptmctD?Bp%e=$h5%=^KW0u7iR3=ig
zvN|gZ44@UD6ClfCSwYB*qKi(e<hhgQhs2*tagr&fG~7oFtJBP7qWYGXKjlA3_R#Xg
zSxx^a>HYQkOz@vK1{-<~f3uLSC0xXv&xGDkF(7<fhF_Y=8kdH3^wZx>yV|MIt!h7*
zJ6gZwbflTA=;vlWkBxeAzAtknx!LCi#g^VmL~SeT=`GR&RNo$$*f(XX%UPZmpVN;h
z`sl@;(FJWt!<;v(Ek{<{DXrPv{-b=)sLhU5aEHnmQDQrQTy$(qI_^yo;7#|;q)a!w
z-Ed=kX4!qw8?EX|b8p`)lac|hEv&gGdq!Cy*^F4LzLdt#$W1%v^_lDDu2*r7+h_hb
ziqPEs?dH;M&$6fH`TJk%@4UK!w~=F_<`^F@FkK8+>&Tz;N5td6lgSC-bn*nfh2?a*
zh>#kbVU4}jo#!yDzQC8n=9nPC_m`Xx3ZGMz?sXZl0Jy3z{h!HET9v>$t)?@m(Q*TS
zyV2w|*LUm5P4dW;V9g2R-Tz~U!;?ONL2vc{SF4!+s=X)0`&*@XQFG5oUl55XJA`gM
zzI%1{MR^sX$KZkZ-74vRsS#N_b{_|#eU+KnN3?mN64mzuD5xN`bX5d~B%d9QH1*yo
zYBQw<&r{kkhfn7)VyE^y?IUOedwV(B{!hy*u*h-$r{nBaW=e?Uo9EzEpD?Ti6TB7l
zdQRIM7G8L=hnxX)#zcP9g)`~A-pm-N4mtpfE~xhv{Ib-^IaKR6H1y|;9+k*!qyIj?
zzhWJ6n*rQi|APR38iAx<R5XgS8t+}@e(mw;4_Tcu^r-RH>8TUaX58XnnuHwJzDT_)
zsoMD9<_FQIUe8LU)}J<q67+a)dB)bBk&lH(dtR+h8SCk?BXS=}>9E|#GI2W&U&*Iu
zCZuX*7p<=Q7Fcl<l2=P1sABWw@tUDZ4aRamu|;9jjeZyxDlQZ&9nf2dKp=ql3M8ML
zR`|(r*gB1hrJ>~S<f@c@8W=pn!S4hjEUovr&OcSFp~=NUp>{4g2t{DPQ^)p<#ENj3
z1a=*h%iFltd^)bp-Pl>=jO-z#X`37`^Y0TNm-#=86K#T6wE_7)=OHne6a0Q-8{@6b
z?Z3&44A)d`_FGjP;8ps1{m3xnraTcRM%J=%zj`%j1&z(66zK^l4YT9}(DG2~W*r}p
zub9{Q9kw|KyT9PRx-X)Fl4vv%Y+pn*mz2COqPm+QB|s4ZN=71KEuM1SFJKT>ST&rY
z7DOy1@#Kvjr_-{XLslYLPO<mgG+Qk-Ok*juUKP`CPDo*+4md_SdC?Pb7Fb*JPTQpm
zjDJo3X9oO2Rtv6yeu_6uj9k+e1un-yAPPPWjh5Fl;w8bVp2xdpJ?IHy4_C<>utQW6
zu>^#pu-36OA?T~W)XV+5BfWrg2OzGxE)IpnWJF9ED96ox!GM@gX_+I%=nODbQ+p=z
z(0+d&jI}pVcP3tZtjSRg+%)VZpRz@O6t6_J-qr`<ti`Mc`Ihb-p#UF#iZ2xyUI>GZ
zjV@?E1`P@edmL@b_Kg1UZp>vn=G+h}!TyV6CcP)5MjPVZ5$|&jkVKu&j6#ssEGA_>
zyC?hsO|4ZjmHu&JL-T#yZ$Fa!oQMC#eAlkCO0CvpLk4oihgI1H?~5?4WPExb1Sn80
zq$q5@^)umgL?&nX$NPL;QQ+<(5>3x{MstJE_&%Ognw2*QW<^_aTtb){*yX@6vH!~A
zZ#VCP7NuG*9d!ZmOqoeh>dwxAr+K6ODyWb$Ir-$(S4|EDY|}$=aYcRzps+iISaJxF
zF~>?c!S_!}R;Yn|!=mI-2(Iv9VN%k}=5$tNLXISkfk=p%mv+<B-Fxh+s{F;w$97`P
ztHDr0JIU(NRA%m0#;YRFTj26*1L2QN9L4b0`{eFv4kk)9V?J<Wq353&2rNA(U+nV{
zJUw%|vG}v43}JS;IN6E0>zv;tJ?!jDYv(sK6=ZsJ6tcGfZ7nUVRHR_3BhM++8uvz}
z3*B^|qpv~Jm`POT;LV6pQg0pfvcU4Z-*kMuCSc_D+aCGdqLFhCMCgRJo_D0)am37=
zoyfu+tsWgyUJg6#c!6}BtX>YuR<+<M<&9#-aq(@rQ_x|V0HiLx%>riSw_O^z+7TLG
zJC}r@XsyrK(o+<CF=+cNd87#Q={kE`ahLw<B=*VaML+Vo`@$ttk^2pE7_qF&`*;6P
zwT<x(-f?hMSkPk)Dvm~v3NWWdpjvs!hqfEUo=V8k%9&;tX$xGuXLQ~Xg7~LjAK|P|
z2ZY_6pYIU|N1{fV0a1hE7?v3=g`7ALUSGQ|B5S{TVL*ntswP0XzRPQw@$IrDmcJn?
zS(O47Kx$Ux?Bv*NA2Ja(prW!uSAa9U+g{Dx>Q*en!gI&j?DDO~>I`5ndC|Ki57tqL
zwSV153^>MaZE|si9k#tq#Fko=Q_IB<2xsO8u)eDcEM3(7{))l{{>;BpdTV>P=duEM
z?S;G!+ktO9FV1>`xG*{X%JMujc2b7Sx`jA0ShS)N-%>z1XO%GDs}Quh6Y}*&@7K~z
zY5iiBLXC+GVG>7jOxh@(&PNxF2UY9((z`D%;itg^<+_}?lilmuprjf@6m{*}je8i9
zv>!%MwDJES^Z4(u1LohQC97dLjv+W@&TdFcrU~Ad2Ld{2&nURSub|`dYHWHT3!(zn
zCQ|1$8Qe6@YK0jAMj%zu+Psj#gdPGW%sU)nM{OoYZo$XvcoIz%I-eZ=-a~9+N;>%7
z6JRYA1X|5+tE(n-MyA%d`P-C9yRALKOXqSjQZjasA48TQvv<nJ9&8JF>mD2|FRf>7
zp3?cFP*$uViyp_Gt=O#h8gdpo3qrf39!XTjq1fX&InU<!0zNb3#Fo|}B<AyLOd!wH
zGN#p}**9MfG{hQ2N=&&xUfO-KWG%_@rz#-i$&>!;uA1#)iSCM$P8+$-ARfUAr*i;l
zaKu8QT~;pM;?1lKF0c!C{w$$zLUT(~%dZfu($BTQu^cE$h44QON8C*eFs}X;_f5Vq
z-oGB#;~-(X_0MIKxb$kWSj_))tr6{UhxstAM_FaJ_{%P1pL%pYan5zPs5OSjBN8xV
zxcB6v8dCI2pLmsQY3%z6DP@_^a=ZH(KZ$4T3Yn)fVAbxyA@l6&Q;f{(LlEIiZ+LN8
z?j4OJx#-Pb84UOrQ*m*ojMF0XHQwPvh&&F?9kf4(BO^+{t^z28<Yw<EKAqt2_N0KG
zlz8$d3E0~KFRO~(j&*bGVGsA%c-(6571nrc2P0V8NSMC`bdEoYnrdNc39%FwG6;5P
zr%RX;Vn%Q-@q2eZ7qwuQ(l=vs?Kpce(v;Qi%W#TJuYI-!eyQMeH&~Jxp3CT95TG?Z
zDDTjAyl3b^?M_ZkCy$i{fO<WqXT1^pXL@(QKa#aOlDRK<-^@IT<NRE=@KY0%>-3b%
zQ3AU1rhy@`;6OgUnL<Fe0VP%p<P1LRua>{HN$ew&>R#n<tQ@Q|>mLsH!kP5<vNQ$<
zHanC+v=`-WthOMmvz!?myMk?+U{rUR8#&(*a<4F3bCBfuxfl?fRgl3ge3#U&6?zWm
zD!jExK8pD#GS2o>o)sa(IOZpeXZTD_8Rm!2WUo=mUq$^e2Zd7hlNlC7za5CsTl;T)
z`8W1GFf*14ut*dzQFcmO%291tzz45xu#Ht|Jpf&fIzywZN_I|-USy4o&K+)0=;J-&
zMHU6VF3d*;IOf5|x$W*x<%`$3CJp(`)yS>m9{0}^i2pLV;jU}HFO-o+4t*x<Ijg-?
zLxI2Iw367N$og#?6Uy0T2xPg4Xr8%AFU<C=zelpH24Hc0EfoTrKLF2amlDX5k8BJW
z^hzSKZb3ApZvnsbZN9G`%imV^cW$q|E=DdI84mN2LlxSboONiLj72064A_0!oEVaS
z3o_T#d4p5!bg9EPp9Cg!UZ*Rhm!qJtXP#aR$X&VE8ID`fq_nUyw8{P>5UyNIW?`&~
z-9x6<IG?{^CbYRjcqR}C@Ko(a=_f<#WLMNUlE@z-6h;HQZJXDbkLUr+<Z_lGbl5ee
zeZ8;I*&?Zy@ECL~QPqF{E9PSx=CVwk-0)(&9&34jWBuzX$`<I(6w9O~axLE(k+<X&
z^r7^%&|5$tWe9tgMfMyekiYFo^*Dv|V1;^cE2dD;fkQbWr%a;@fBU-r2m5#V^6zar
zitaWP`I_hEuFp>JUtAr+fx&>!zZ$rx!!2+s)y>|4yO8*CqFgmov&LvylFhJRWZRqL
z2)eD1NZ*X96wL4EWa29oeMFy|)MjrfErogrvM^MDO5FT>VS5cy2>niNjflm!?r=9s
z0nVX!)3H)Nz4bk5Ca;gj=)2y*a;>u5jcfePs5^mB>U4S%Tg&m`TFaXvdO%YA7390Z
zdqZkFL?5i#^7Q)V6OlEtZ2|0GdND(HaulRZ3-eZFd1Zufdk8GP{UD_JaEP|AH#-Aa
z{YE%Fz)^2H;yb*Cksbpm<bwfTecX0L5yScSEaNt7t7hz^s3Z7YzQAuakppo%R0J*Z
zJx-x~e$B85F|5-4nnA-NXv-4^&<_lYpl`c8)=y;R{W`XNo%{3{K_f3cuI{*x_|MCn
zZNB>NPVW9_XGVIK8Y8xa`j1AdJHm*v&qv}2Z_9=VWA$!?W0SJHX23=o2Pz$08V+5P
zQD8Q%1XOBd$Me^Ew~}zwtQx}3DgEtr20nCkf(Fa-sMzj9Z?JB@7|fW^?~cS`nIL|n
zptrnnW$;M+?YGlK_K&-&vr-Gvn`B*sdqxrKwTbo~zx*!VXFG<FIyR|Q1UM#s&sQ~N
zNR@@srZwQbM0V2jW511c_vA}%INSDJnBU|4OB>afRSgy|mv8mO#*eeyxjj8~ydp;M
zpExEB9YI-uW?oT4`vc`orSx)sBGZIb{s859a@tEn&DnT%Ln!264lqvW7WPFj_pBZT
z)N=?a<$Q_~A~tM}fSk85-{TkWYLb~2s;B^8K%l<@=n2qRlloqGZ3_*3DAq-NozC!w
z^Y1tE>GG><7a$opkm$J1I@8h11$gGB>MZ%jxU_|wzrac7#c>P-m@V|H_fTq6i#pFK
zcraamJDhd@nsCVrr4aaIK9Vr}9B|jB7r;`M`-XsJM}5H1svT2h9G%9FT=uF9%nFH-
zqpTeE8v%B!#z>dJP2fSp@!8;0h^c&v7A;Bs#`$mZoqc=XZaKYqA+IMkzHuY!CNW~|
zI0TQAIaucxo+}x0YmVFL0!8;bG*&AHm*Dr=3x&zJM1q<KF;3{<M<n4BKHY6y&{_A%
zG=6^a&^}>bQazsz9~WZLTi%;{Mmu>ZZo+3EthkH;ST4H4dtsgt-vhJobZk>u23ftx
zc#a4%X+s60rK^Gi9n{Y>O)dr~;Tiy+AF33v4NjC1J4Hko{t4)^fTri*a=Eod^dIJ2
z!hDbWNZb)s9zyXn8#uz>T}jb#Xq3Y3T3En&{|e8x5Kj`gsjT*;lb*ZWQyU1b(2V(0
zp+-L=1}4z<o&rThUwmV1cRoF>Q2^*KPr?d^Z1AYDA)A1Oe!S)G5`JpgKf3?grZ^XQ
zo&LPaJv7#x9rj85dMM{<2)_V9u0_3Fnpc|Y@#s-$4+TShCk{ArTWq~@rEb3f?1zD2
zR*oUrO^N&J$P;6f{i1q$8&DwKD0{avP-*}^`JYQWd_CJ@^GVY7{d}^D05JqtAPcr<
zRGj>6!Qa?76GZQJEI+mm;eJ&x+N4C~;mS94?OF-w&e~R1T4-BZ-pm$7{kU&#vkQ)V
zZ<PL8#$a|cY^>Z1j+gC(L3CjllVD_QZys@x3#%23H9d9@{{>y&9!EfSc$5#YE`(I2
z8BVUN+04AFrlFzzo{h1qhWRzV`T*70(lbR!I$G?L&=wp7LJK;mjh`~hyWH{g&KpB1
z$||Qc><>S-I&bs|4Tm7x=L3ndOLfcW8^dWkxZwJ(kTkL=@9=O>L*j2)+zb15A!jW=
zvQ-yi%BpPedWgke>DEI6ug_CSz;X7*7$ab+>)j=Fi^q`K!vz*v7?iXnD)?N==Et4;
z+HOMLVUg6o8e(=wrKi1~!$pE@9%O#?qJWcNy*W8P=IL~#Le8)c`oo-CYb#4N=~!~$
zvs|T%jhE|<zCe%@Vw1cu$tiAgf`9;wG}?vklnz~1WoR$B1D8CQVudh3^;H9u`ys$v
zA3UK=`7yv}%nhJSJ%0@F8PX<4Lx6Wo=$ifqGPv)>EFp>V70g)2qR)4;<D1E>$Ow{G
z&!L@Bp<~Ippkp9#GJxQz+HCUci!21WhkUtJyJuAWZR0~^0<#c0b`@aNoQPdUg5sfK
zJ9^)<jTIlh<DQWNy_^>ipXMG@@vcIj%zGO0>MCNvY|qGhG-(O;MYmIfsO1PTl<{z>
zV$bLV-SyAX9oQ*&NC;D-XJ|bYg_|fDhlVI{_!`>SohfaasCm2lY?(2o|IK{ywbg38
zceZn=LP%j_=t<qrF%2w{(~br`<(6GUhq0?oWAjj76wA>DgoBxA2>S@lZ1qZJ!!p;s
zbXGg`9Re;7?u;E73<lc&ioaQLmZDIAn~)E_X+J;B(Vtmwy(}5Dk(@}Zn9D~x|9*5}
zaCI6<w0Kw|weDy<@fGu^-=itOv2w%h7O|aT8w)Z;OLQfyw(7q>Vf&LE0DoU}>bul5
zs2U$V;@3!BT;;n%F5#9oHq92y-JZiMP{7^et3h{ZXCnBUnn$B6i{)V>BlVxSUVR!E
zxvakT$x!BKYn3&&*@m?yGF~XTT&?Q(EKlJB>Oq1*kv7ZlXf9yR;Wm~$%)@8hpPb@W
zqh@{2K*y4BedvqpqjTFVc+{TJ0EI4+T0cmp*e_4f9WOO)Yge2>6|Bnc7Q3`<vx;6g
z&U7<Zv-T=?({%ygIDx6iUzVZ{A?v>+7Sy6PC7FxTZX9HRy1RQ*ywDZNvKtq$4l}%J
z@h>y9E&a3VHZh`KnhV>W-lQy2?Ed_ptw+R`q}}bgPkD2`U}z{S7JKu1`N|QX-FAJy
z0~Qh+;{ql=SS~RkhV<gB`Z5v~#_p3GBI>h~)L**>-!K<6fN3vxKWQn19Pke(JTGCJ
zeey5`l{h+Js+yGP;`wVY2IUd7AyYacw{xyOXRX-}1-}2b5yOAG>!h^@+n*X<yQ=6P
z_g&$_)3baVuTnabIR>WGaWFoL*+P^I9B`<up$<YTdcfXCA8We92h~R+l3PykXU>_h
zIhn>T2=5p~8^Y4YM6&pi*<+xzUHU}Btv+_0Lc9zSm{w3a@8x>$8QC7rzGEu#J4;+C
zh^znZXD9Ey*m;lKJa_0z)m1y3wMk?6pPsxDpaerUp(z2(@7_fLPE77<A^OM8sr<%Y
zulIK0u~X~;Rc+@i^Y&;wxQZ#X{~#ogYt>Q-rqI@-MwK_(IoY>1x8DKpKUwMMU^FtU
zplMeIN<KVULmKlr4@uBd$=nGDh^{QaiIdjPtdEWfq-s)XDo-?U+b1yG@a>g92t{F4
zr(^;~a8Wd+d1T<a*l_EMiog2n+3Jt5X_FMybuRvt%Qa^3bpwTeL}vX+Im?;g#hpDP
z;p&WdLaJVat|WC>dT!^DH)|;b7a*8*d6ODa3)tXUIl|*5*ni0<=l1k<YjpMQFCGR9
zoG_mtdG3@X00x3B*L%5gCDs@?WVx6H@9AZ}zep8Cgme2J^Yptj#L_GrYiGO2>#TMd
z-?C?P5cU=A)hx64DH~;a`gm*UVedp{xgnaGdhgd|`J6Wp;=75I?I@B)yX|*Q$$0m}
z_uv$6w$bw2Zf5rfOIf}AnV<z!IlqtdOa;V$3C;P)-UTEu#omR$!6^QES7TRfeirXA
z(+)x?90-4$U(8w<sDj@UaWR-TTIfyO%DN?WSeu#xkv;*=H0y~ZtRoC!0-cTRA(kGF
zL4PejG-B=X9MhT=Sxk72hTv;O7>haSY9N!+ZS6klt|6awjLoKJ%v0Q5=PIfoQr6cg
ziR|QN@($OhtELKikDrOjD)kx8PQG|^19s%Z3Ei1=*t-SBrU(079(B>>^`f$fplGkA
z5d8CS(T5!j;W^%Iog&l0U?0>HI!VVm|9+2kjayjNR`MqfkN!*6;<D4z7G8DGT{^g8
zE@?eg;Ndk4+P21e1MR3UVzEM0L`Hl!qAl~mr5cpbTBE_3x8mWIBL4Sdf|kZXz8Fy`
z)TY?LZ*Z{VO|~04+FIFmXRw+ZsU8H$3zJ#VpgR><CP~n@ON~X`IN5J*|F!fCzt@sl
z$Sstz@g_NrSccE><?@MP`RIl;4=;MbDZ~#YE``4Hvh}YHO^viW{HIx>i-=`?SK+bH
z6)g)e87k26#o~~wkI21OS?HRS{X#?*%F5RIbj;j7fp(k?$(M&s5FBC%5Fp?2GV7*d
zD(!AEIh#eOyObukS`-B5{<aXzLm&O!w4Or8L0X@;oerAwu5Rp~+uV8Fr_In37fMiq
z7C7&K)n&n{&%-H272~&W|HAc3)8D<u|Nq<HXmCU*qBD@|CFSg@$UB5)oG-^m;4Vo~
zR3((*qStiDl^x7{)7*xjNr46g+`}Y)t1x$O#RdOvdyYpInM$0kcF(MwPwa6c18ioN
z3g99a^}GB;x(jgha-@ml4`8)D;{HBfb=-gI>JNp)C`<_8Isehkf7SObpC}OS7KH+!
zhY*F&^HWL=IG2N4ifi!(UjTEwK9sUWL|`dOSchh1`9FCUGcvlhW_i2Xq=`0^=@UcV
z$i8)bN+jf@beul!63w;?4%Y?d5+I;>{+0tMUVO%w9y;C^e(BbB?4k>PYMfuz9%&gR
z@_~COkDn#4a@v%NcL{WtL;}OVubSclW@GQCm&rRK@6E3jmhx+CZN6AL4k-D<EK#U^
zey)U0NCU?7G7}3z+jH0F-DUSDTj)hG9skT2alEi0u<2d$@FEEGzb4?KTRf*57ym7L
zcQ_ZfXXMm2zZ%Zd($Nz`%m`%8GwqEhLI?_y3<0$rmo7^zzN1cmE=Y)7__v>R3;d^}
z59T|UB}Z&nJZoe^ZkP9DX2>7_VbVC2N3-j{;`VHZ2~ibQ^!E%bzygfc7rd<QaN}*u
z>$vuK%j;}XVOS{AIg00^rI#tBX?ztW$BiJGVGDIW*P8m~^LGOh?(#dRlw{id1vYkl
z0hbK6PvMYA1zVj-oOBJHpwTv+H1NR$C)c~I!8deUyU@FLE2{8WS*KquiYE6#@TJ|4
z`IL%$QnY-aoYDm67F@bR9Bt{JH~Q<N4{Zyq!$B3y*joB<ZKgyxG5+G}5QSEUv^~sl
z=D_o6aN!Hg@D2^()WXmj`Fo9eHIb@3MG>FX?nIRhRrPU-cKG<aMZUSao5}X07nQ&Q
z(IC;^r<`HAIbU#)GQH3h<yhq#1wPR1pxd#rLhBW!QC$I72(GxqnKc=$UOQg28Faha
zoJ1mF9>^B0<6h@A06q@yX=O%@t{;~rv%t9$#5NYwvfWT@`6WvH>c>rR#L2o>8s})b
z4p3rUU$NEKA`5fkW;yF7!G-S=7BU4(oqbV`kB_A_d+Vbv&JTrr$uRuiH(#Ds%?LJx
znh0M4TsUL64kUL9As}d&JMb@KELgO6iH#d61V7Oq3JX~U_CP#UImJG01+1!?NoFCl
zb9E<Yzu44KFp%sk&dgO!Pc)T{yzL){_%D9&Q#nP1pUKNLzb}S^T8pj{szDHU$Jw{y
z_X9YEd4J$YsN%wqz;M^sk<`$NMwc{C01#0SY1;hnMuq&B=B3Ha*;q}Q5^+nTK_3FD
z{YOSF@3+RZeXTpQz)s~^dj}OzgN2lDy-nhuF8epWRRGhn;3SMw!Rn|qrxn@}UCD8k
zhWHlSpxFLQ1#*1TH-%WPY3awAKuv$Up0oJdoJK@FtZB<r*@OYCuBaDXOHO$LKoMfE
z)`3(5UErig_A#L*J9fT}{t6fo+k=hAZYXcdXWHvWWYCT$OAR%<Q{y``ZIthTNu;Z+
z$Do2lshi`~`uu09uYfhax8^z62T#YURTz+*KjU(lzjA9=I}wHUAo>L<ky&<<7QIbn
zV#<q~N#$yoOG#e{%eg;(W6rHh(BFt9BOM2)K8HrjYU_&M<JH>)tF&6i`xX4Tjf~tH
zCh-#LMn9~+*PQ6i?P`>;aLIPDR17K}tZ+Z-*7^3eKdsf6pSAV&`~Q*Wt-sT3+$kwn
zDb0?+R~&+?aZG#Q@bEB~3D(c_7TcMtx0oEwmRw#Ow!-XtbOyXzpH)}uFY)(}3m9Cu
zgF@nPZrV-X{?VDZ@b6Z(N=Fo1aGuC3r~7cgpx?hOS%HKAV0==*qrUXwl|^{wgSxe7
zVxwQ0^$G*#cww*ununHdbT?Rqx!#>%wLE-C#6(Af4u*gSN=)|4=3ODcL|Zx$62IBU
zQNqQWoiiu6H@O7^j><;~XJ7hozh!}3bE7DRNK;0D7@M>Qo=@CwEMRQ&V{1G7zx^!P
zY3mghY-Ub0CxVi=SoMpR)-bU~#t&bisDcb=7zq)*9Y{D$+kyzsNgvGb8NC-0^K7o6
zBPf%HI(LDpq9RCEib@T>0@&@i&8g>aW$?&I_!w<xuABSkNT*m`vB`HU!ZXShpur#9
zvwD2kde6v{tX|%xr<s(MNBH);5uE)U(VVY!1&1$eaM|hS!ESA?p4qE`9M#(t9YS!x
zVXG6g{!WI0pB~ocb4n$fe`Ck~r5@v0ZCa@6OaBbIHkGn?T<Lm37?T7?I{#_t(i-cw
z4~tgb&zS6AQ5BmkOZ$i3B~A954CE&iI!Yjg>WaGhP=LymV^i&<cm&WEIjI8DME=JU
z5eE9_0jd~Ci$N%>>@Kk>lsYlo2X3}Ar8&cu4W;PHcYzU!_nRDDzVIg!^I#C}-8s_R
z3$asYBw2r&s$s0`#$e!yD!=8+fq5N=ViS(NAfUmfp9SVBQ|QXmKfc}_>?J;LsT?3R
zjryH(8{)^ENAobguSO2z=1%f3S>JldNU-$JqhHsZ-Cms15i*4}YR&2M$lj}$>VSV(
zYEbll;ibofbpzV#^nQattolg(1Pu}j@KbFx-p<F^45sG;`<gH3b#$DN900{nYBt>6
z0ak!8k4O+^RKRR)YAG@8Xr`WEx_l*gaaqblS%DQH*#wA{ELn|T|AX8gEA{p%8GoaF
z9wHrBsD{9tM+B$(af2cRS{BX-CA0}%^B|!a5#1D3{+ogF`<+#u*KDGY&&md2jlv>?
z@b9f0M$hZQeEvAb9m?E(-iN$R@Lg9xlbR2DO8Z}h5>uJPN=cY+_8kUD%d>KZN3~;T
z&hg_P3%B%UA$t2UcQVfdm<gm39og4vRYO)TgGudSr=u~S@v21SMXrlqPr8%B+?sMn
z(zh>C>{2@JZRT`6rJtMKf`HAA5K+nB7Ph4O+{|VjikY169Ok|5$+IJ+A=2@}%rr$l
zCnL0TZlJEFGZf-Y{{>gwh=^@@YSF!xGN$G>eII)P!u$Q0fr^z+5AuC3gk@z}GNGxW
zU&(pSJ;w>v(e_<t$Omsb-hWK#oSVymK?$v!UQP*lr>Ht~<XP^6^)(A!0K5)bK+)Ib
zL--ns>RP*y=RQa7tuJoOaR6xtI*`77pF`eE44^>K2dtooW6h_Je-3W8^vnPg?;2?3
zeuLDLz7X^S0wkP0wela@D*wM^?|-)3(X!wQgKQkRaN~&~vXsuu%-b#xj3G`nlP6{F
zvi|BUJD*U`8RW)L8m$@Dw;Y`a?$~-g<J{8P#9ZP!P9QWX-^)8r;N7Q0syjnH6yXHb
z$rbZt*EY|MaGB{ao7UY5kuf*FZ?Ld(c-V!5Cu@k2>$Q7EH`UHwm82Ernz?O%S9ubJ
z>hE(Ikmh}2qQf^vrHk**00CM}Pg9|<T_xeJN!e9bJ5P^fj=43?Tyq|qaUIOYeA4<t
z6{Cnfp@PV`*u-s+s1`|R&`*<q+r1zU1)^Fp8>1R1Cl8=Z9Kk<NWN^B=N+J(H8|uj~
zN<IWsIf1ym%K|l?UmSiyuuPXZTwK@wNh=ZarIb$SJK-qCl7EuiE^&&*k|RwmJ*A6w
zX+3r>QkGSpB7J5%<h66f=p?7HpfT!R+zy%I=H}b1?Ir|khp#;e=lS&Xo~KbAMI(Dg
zJp;41tISlRd=485mK9ifFiVedy3>6Ci2y=yV36X_Q&vI4JN2&8s&^3W{3xIZB0l{x
zL8n*$aogyxhvq2irl!ZLzAxcWm9PQMug3$7K~kPhS>$(-_P{mMohVx)tS$v@@|5{e
zi~^0uYkKNzejn|{U_`RbFNYIr)`o84E#w)|Izs18Xs$=1GYaS<Fl%JNEDm&ZFwhJ@
zXvmi@h+p3eiD|V7g>2%0$xHhLNW4jwoRSIX1b7G$PgHNPS9*Ol`bI!6H|Sh6TF}wa
z?8PdlQWUO`1g8)h{&a2ELf=TpRA+b!BLqt!sBEw&t-kru4cQi?N1rQ^<`p0#lj`b=
zZHQIL5dTYC8HUB(j<S_)4y8}7N{R3vhU-G%{BMYATJ&;up0N*>S+o)jck^6%|MtK-
zWjM>?=q#b__5-{FYcW-ld<wi7)Az`CJ>jq;EBnYr#j2-=SI0wc*tzyCw0e5!@Nay8
zHA%LN{v#~zaH6z(8tG~HMA$)EQzr|NGZ1@a_s(3;VS>zdT-+jH6Vhrjm$L&tY_z3)
z^dd>8ZzY9k?#K%2^5=&tPXbD!2Q05MeBLlyN$pd~t~zpF!^4wP9mj)K)^C5&_q&t7
z`+M%8!P&-p{Bd+@z6Yv62AqqkLTrNyQc4ed>mM<q8Z|=&S{C|V+7vOBX99yq{O(?|
z)fY=n)rY<_kT-y(KALa7yxsUdYUt9=X++SR7eS7LsJzMRO`QqgO;T{wdU-cY8P%1Z
z-0l}j>l*8#jna=+$=MUQLJf1=S7tMZZWv`tp@%{!jpGZsi9Luj(N2AlPN$#qM+-rZ
zwTIE84c134Ki^e9wp)>b!dSLLX+@FH#&dc0SZF<;uB=)jUt=y7zG0SHY616(ba1ul
zVjwlWD^|0ad*$VW!L2;{h!T=>q_tODSW-DqFe!ZwiJ}rO-8$+jb}Wtjl`gY4hnPA)
zBStZIT8>G%Au(NU-<7qWhy2)}M)89LW9*k(M_mJu#>cj%rvG0?s)k#+MSSWxf|+&K
zjYMo}ZspGj_)KGH$GN<-oSd^~RYhy>-bv(55XsAXRqhFvF`e<1JGXc7=8tLLtyy@I
zH?p5ypArf=Fw2<FueD3;g1NAoGV~~LlirL-If@+hG7G+$Uie2Yr0@=RIpL%C2SvXs
zEP9c~N3>m{LDbQ|yv>vPh#K8!7MJeajXldGmHQ1BZeMM`;F_JsTYfZN`~0MCD=BxS
z`fXVC{9+!2=*_YWk6y1SYCn-nYdnmdwOg->E*WdrpXIo~^6qhL;^R<aylF#yuXoLU
z1KIyo)*@K`Uq1_KKMpypbp}Q}peW%&$IB5vNMV2KTgZapX*ZJNu}gqDn2fOeGIhS9
zK9?d-%NlwIZdA`xQvzID(2}Uz7EykpV#rVoCiONbJR(h$VAAYq<x7g|qbQBpip2hr
zMvGikzt!ytm56<HmxtT-515H`3KlxX>>rhV1wqVTWI5XQVhK6uyQ06kKkv)<<*$T1
z6GCDVzt-@}KTV9@*YT9T8;-I|N<3-XH@p)VSR_kUX!eZy*V<%k{I{Kw=<rjkt5=km
ztYVYq+JfNo&9rgpTJ%y!1JtycuYkiP@m7%h0vRH7Eys_5IyOJR8y`B$ZtOx7^z=N@
zP%TX{7GUYg35sh{yH2qi5*hLZ{J-qFxX@c{Bl!hVlDpoue&C>YcgFIvwAu1_%5ha9
zYkztJm>fm2+0-X5D&PIIDMyC>zornM%WKuJR>Vm=F)q9GmujG${gJCVPVE8;5-#xg
z(7>g1@Y(4peb!it*6VQh!sZsf1{2~9PPSu=@IOw=X>lu&<sZg#j3wbFyD645m-1cy
z$Dk!9q1Z<-;L%U~Hp4Qk^!-8kt(_=}!4(I5=tjv==}A(S4IGGUuRQ}|+ojQPH#l{h
zY^;E;xbfU=;G%&V)mQ48jgei|eJdPW;~!0UG9c*f-{mXc$3q~XV35CTWzZ@#E-jZ$
z>guYtwmj|<;Ult(owDneUuJO#kn>>L3_5A4qeX4z6c)gn9D12O96y=2wP*CFiN1u?
zdoY;0^?m93pwGJ`B1E9U777kK3VsEyH<y<<fsEs;M-not&Tg+HF<YMMe=XfAhS+?_
zTuRIFh=B?in9z(!(7RWm@IkJ9mrI&u)LjRcD!Zaq)S%-9;4JmT{Ln=wSDyGBUMyI0
zj?_?ejB_7K1I)*^8jDBM@wK|L4$7`q+!jBvHdmt;h6K@KrkZ`t+cM?;<!=f-qMZ)g
zgHBPY1g`??1i1a24jG-uUt=K88CX#d(F2ztBHpG0AQIEhI7(NjV{i{kw;1uDzruS_
zUGqO&>G2QQd*~b@U??Zq1s3ugl(g03Tw<M0TRP}^)bhwDBx9GsWuWh)g2senB5U6)
zztvRnlpVEcEqR<|q96O$Bz)cLfF!;;@7v6qU-f}_VKw3>nFT5l!>MbL(%j?7njMN)
zRhLMivqkL`8m$NSvRf}4vAP@g@_w^-^uCHjzTe0sk^E!!*T3e+CZ+~f&Q{nAs4Vl|
z8@#!?6Grv(_d&migT^5;gk)C2{!5U=E^P{s*0UZDt@ejV+(8KdWlEJ@X73R=cm1Di
zeN<|4amLRS81KbMxYad6_Q1^>R6v@ae0c46bK>M&VwZ1H^F>0NPeCh8;pH#Phl&;x
z)lEe`eu|1-<AIE5m4tJVDwe=}5n&BGk0pJ@rm}Qi8~~1l>~86w@s{s@KPHe;GE$Z!
zAgE)xI3VH&VFE&Dz*$2$x88Y9rQ`}Reb1;p@L%_g7&6}(Wyt}nSWmTD#XEfPY(+i^
z{6m*Rga5>A?{=+kYW`{}`y*_~{efTu00XnoSVl-S?T-$Z^-**M>?e)p_V2f=PPs(r
z&cquQ6JmgdQTLm`bOZO{0r~w`2r#rHApJGn-Z?TJ>VmNH2@Z+qGG$fQQ<B#uYa$yn
z$r|r1L&?Rj_@jy<&g8f~b^<1tg^!J<9d|Zu4oe@W6~0T0m?2;)2#?u^>5l+3myoIc
zoY~t@llG{Se@UtQWQZTCRAn>$80FoSYQ>^%5we>hZT>9M+IxSz;Qp}ru^)!b$814>
z`yN&$k}782{^U3R>GuM9Ty=AH&e`s}g=<z<$3Zq--pS=!JUnyPe`Q55VQrabUM{&K
zWJ97Y10zk=5}Si>Ft0CJ7vGg5Es7f!)&~z+2Yevo+$_T_(3lyJH&28N+29B$^1wl4
zLOf`UE|n#geD4?VI@4l1{*fB_3)Z+V|Km5a`F;IgW)nk)MRqhRGyu4bxIG=8>vfuB
z!d@s&g?z1ZUlk8#?HMII7f)WQeeNx{UfVt0aA@rK*10kUqX?DhE3qe4RW12LoC~<G
zGq<f2__N|sv%6`LkVGESttms=E_vyi#D>KE+76P|e*X0D{+`Pjx+JE}dIuahE@nW*
z(S=0}+uunuMkKE6w9sZUv!w|`mvt34>(=tWYTB(KFHl^Bt;6a)BU?_UkCltOv7_JP
z^(;OayA+BFeGYDxsczPCx=?Hl-Zs3p`8KilvSj-^jwjV^*>5Z!ubT0|2e|Zhk;db$
z_FL)vTNX|__hO+}+uw{b7t&(m|7iPmpta3!8O1V<?McBLix|UlkE>t%jF>k;u4k2o
z>;&BaML+f~?a+LlW!(&XJ{{&unUebXjZRUt`hxb&7x-3pRX$Q6ZejKx!mz@scTY%%
z@S&u{0n`se4loA}o^3uILyG7&1XZ-JAq+dj5M1^ZiBY7>e1Cs`>ldyG-?5cjfsurD
z{It>Ehw1;v>|<KAI@)G*+K%hmZ^lhEtVgj;$&zTn3xN4dt`goa7jJS%m3BT-RsplT
zHd9#L;TTAC`gP7`v|^P!D&MVVhVD|Af)hYrk10UXF{W^|i<{|klai6KljGaDIb>R)
zYgO>82QcZAO<RsnvbTK7?pk`CNnf)lAoh=BS@<b>hu5}`F4E{-l|0CByoL;sQV5Df
z6@h^0s&<NT`n^0X`11Bl!UVP%NnQeuZL2P=3Ep&1)(o}q`VhmSfrKy;I#*Ur>+cD7
zyfLL|rQkxYc7C_)#r<}m;Rz^hqvG+jbnwm3lt||?r?H{o$>BkkX_>v^9NvrcU9mSm
z0NzWxxl>oixI)<uZ-i)<=P*9QJW17jhDxZyra<pj&^oLDA(7S^@x-2yon=OVbpQ)z
z53}@aMNpN}DK0ak$1T}?MZHX7!}3KiHw3-!OX3K?>LR`_WjRkpWMLsX8OIf_`4+B1
zr2BisPwLt4(qw&$Gc#<x;g8Pwu1RPM#MQ5umsSVL$;_);@Zp-jx^HU+6rJ+Zuus8I
zrDnCsA>pZkW$&vTCm^6bqg&?xMNQcic}PQeWlvU=b}P?nZfk236>0BQiCt?R;n)wV
zrI1wJ^0H{xOxV*E<#PVhh+1#_sZ1F`wXx#ERI8N+e+xMUSO{&X3%|QO$e&mj2xvRb
zl&qxo#PToF%F18u``FwvOj#L*99YDVZ0-j3`{;HHgd2fT`=G;?9EdQ0=0~<af@b|s
z;p8I@0T=~MDd&@1AtA4#9F1KKri$4!%1f6FZ47Qns>DmXNq(Qp>A2;Q*ke=6jO2J^
ze*8xs6+vbt_8i*>GC3r%!(ol;=L0&Wk{nu3h<_EmdGS(Re%VMY(2e#~|3z4`9~2f|
z7*u>J|Fqd1jd$C(YMAHRnl6Joh;&BvC73>dTAQyIfaq;LbsN)P?7++)4yd*e2^IuQ
zIOcl+v#pJA+s<WfpxhT?EZ!fh3azrcL|GFH7@+t~O63QfTohv@!?sV-{dY7E`Pe2}
zt+W{9^Q9`tyR3%rp+G^I9PQ+{5|pVYxZphQLQi-fQ$TLaOcEfmU$P4$ohg;%Pdwa4
zGW`4o-(^mVHHQN*d?FUwfXe6FYYpzZ;5w&q{pj&$*9hx3XuR@j+Q6x@rT#11I^^hE
zV%S<>?vr8z((MrR<!vp#mXNw*H@5i<kWY=>xU%{Hw<yKQ?3)6otb2kbV#NA#<}}rO
zvm0G2xYHlH!L1&K=Q~59s}@}JF4b@_*Xm5*w*SVQV6wT77MC{YnaxECE+-V-!@4p+
zL9zE@13qD9Z`u%<x1M|Nz^vL54thV|s2lU2QNlwE=$nRbb3#m=xxt1xF3=V3onQXr
zJ<k4{?LAh1f6HJBbj|nnpkFA!3Lyf)y$I5MVf08yt#g2@i%I+NdAKl{;&3#j?7H8n
zhcv;o#yP_4ow>`c=aJPmEz_nGiHt$Y;(&eR$}Ik~kv*edN<lZ7kCLMgMgn{lp>cN>
zB@}whQf!~yC-LHjY^vHGKgEPxux?+n0u6>B><-@Z>&ozjKDLhA9vh9-CEWvRM;d3`
zw<2ofvH8nD>Hi5_5-A3<3p8BCVrR;8hYAfQ3yn?UtUt-aPhx!h|NOIphRpPpW!2VH
zo;y+TX5cENMF|Pvrh-{vyV2}Q@mUs{<W5%ruPA>UXm0Q;rrsdCkm`L1XZu<}=JHI+
zln{{OV=>mZUM6-*NUe1kT#kpmlrOXkW@xbEGItlzBKLn&_vT?~pXvH|dOFjbX%ln&
zrkcg=)HG&NqsAEbZDwL(;@WEC0tOOEL<J=7D5#yL6O9^ZVj?OoO^jNrNKgS6z#2t@
zh(u9PP>kXd7erJR7tBvPoim-edV0=$f7kUrbDrz+A1}}s-p~8I_x-%jd*3G!(XXm~
zHei!G1LERDui@4i1#2D-hw3Q3vXyZTHm0h^ZU$r-ur{;Qy?v3E$cDu&p;$ZOA$e|r
z;qxyder{eokg<bJFn}eXTP$qu4x!Zh^@*WVmin5CS7y%Vf(>j6PA>WcQ5g#K#TcIu
z*WDNC?1?ZHK&X|ksh8?Rrl4wWMC&3Z!#(?BFc>s&zQex2q+JA!Y*K~h6YFM(B+r$O
zN{28t{kNfG3vdc2R$>-#gJa0@Wz}UOtxnDJ3Y%onQ}alYp{uuA5@hqxo%FtcgSq98
zY}Lcu++#rhhl^?+TZ?}&TlBgZ`6K)4_VV6+(FAhq?LM1VKUS-L1-9#p-`;<ugO|{5
zAe3pxVN3E`v>3ThMxBpFv77kqyY3id(pyP>$@eIA`|5T#<mvfL$M-spkc_iGUy~eW
zt+Nk<1c-(UA7kWDQn%;=wyF}AXjR>^jX67EZIjsw8+gU|2=~kh4VxP+_b#1QpG(NN
z*f*_!kJZ>Vso+q8)O>)Lo0VLX3-gh&z@GogCD@Zf-k2JFJ?HF>3r?^2_4CzI=Ao`6
z{^4>9X!T~Sh@zUeuc)TuEqyaBQ_pw-nz<3lYTfqcx~LG|=%OebkRmwd5|qS!j{WI>
zgKv7TVk*qKq7ez02I)aP&p_i@v1F7HKh=fx@Tdc>0fZ$2Q<t=9Zs9O1w~$eLh3&pv
ztx9Cr+q_J|S8G<Q{a@Z2Uhp7`iskmh4L%#n2#X%iyr`0XL|<sh&YEFFOY)NUW&Yxv
zSMj2AMpA6SZ2IEk1#53;72_N$J1YzL@%7oZ_DBj>z;HBF9H~C@U?u=qn1j_eKfkyl
z<H+EGhec`_DP~^ptEqIKcB9WZWUgxeN%0szC?T~B8~Tvv;m{la6i<95Al4nu^Zk{`
zz|s$tNU%C#RsWBs#s>Y=w29$ygt;wY>ylKl^8ZxP_x~#1{dkd?_;5DO&y<i<-u-$u
z%|EL<`IJrG0=8&gq7^v6{G;5`0=!Kxcd@5ds{uk~iPe`0i%TJ$qKq5vmOZc8Pl$1W
zwXJ<`_cd-pv!8WOpbI!+%I-pgXC6Nu9J>@ZOHo1^Y!0Mw^Tr!|GS^RedtXtu%G;aV
zDuNPS?KsIc_NaT@mkHsOj9RP!AZ|OJ8PZjG*Am;J+?Z}S6Uuv-X9#q6<VPzUq6)$r
zUHG$WV#hya|M7K8f63H&C+ibGAmJ}t&O)#Pbc({+Zk8UxT<$^h*5EU{vjdc_ZM1v6
z{5x>}KL4W%M@w4fA#W??4Yol!EbBuxmH7etF-iy1yxn(KE|OUU?tCb0o}jFO9=tP?
zwf*sEseOg@yWWm)jl#pYf7vLjb8+*gjFRB3P>8iD>iDhC*I2o0u+RTYTD_xlbf#f@
zmTP%nu!-&UuHBW1eei>BtyjpN<yu-r#eZVC=4la0wzJdMH<^V_nV(SDc_L}LxBDK4
zKy8AcC7}$L)c3;k@f&%G#qs<YHa0TTiJoS;)mO3Yn!fdUap$sMBWT>Wa8tZ-F8Gfk
z4jfH5DnG9y7Z%76?h#~FCZ8QEZYMa&b=7b8jXu}u<IfHF1e=`3nZW##h%r7v=FL^G
zy+%Yf3ucg$D?HJR@yfE_t5zC~+er9p{h}QqIV@LbPO0|_A^%wB)8E5=9nrXoZ~jsu
zc_%w6M+L5f0zA?4ii-)J;u=~Z?W!t-CIMKSl8j8DqMN~IbSP>Q_yw%uJplMa_P1_|
zQyr}}^L!t8fc4Xb1CCs7f>RBBo$t4SMvqko8eJsI;jGGFY(3A$`P_!U`pg;;{l@Lk
z{+@NwA@)kdr9)lu+fj_<mEFf62CHWJjgrFZZ;p&`;RGY+NHV;2b;9bYTf5ajM3mfK
zB~0*LdSN5w<mk#vs{j6K&Ci5^DRI%msIr;7ln~0TNKM$`8+1j>w!N+T5Phr|;*(l1
z>0=)8GN(}LL{1ZpF{0M1zG<V85IqV()n@P|mjWU+#*p0u=}?=R9h^F)#(jzq4mT7M
zEn}r;(T_$)^C0!;B(7hRX7JiOATzX0aI&ec4Ns)SYvqZq267Tx)(n8+UMC~KdY%`K
zv|{38A=ME|7+~OTF@gm2TdYpp7UjoS0#AG}_pch4M6V;q2I!)21uXeg?IU)?(Q_i`
zmv4-n-KA!^IXjEcQu%tK8x2ViSs`lf^sW;z=Om%vn>l;eV1KwFiyhcA4$zsKJ^9~6
zkar_{uC?E>y5;^(BA$PIEY*kv-#X@DA<(z4c5{kxsK3dtup++}vBFom71nOaau|l&
z$BIP6<m@#b@uPEa^uC=32V8@wDrl|j5m&lXx{f<x+x@yZrE7THw-#wkF9!q)D(+4p
z9auHMi)2I;0U+e~!WSmV$HtFr-iMC8E^r2CGb%T7!QW^-e2b^4?pGFg=<Bm-5&Cy(
zobm;8x+C-L>_X<h=6PN62!2pi1AV|Xs0Q@FZYVpKqeRuzU-2^A3}651Z$8z<gwp${
z?ax=(uCDFjo`;^)_+Csvz{RdC^xJ)`*X(eOgM-!jjjnLUT*p^o&KuWsxzj9GJkwz&
zHO7%B2fIaNJ_B~yd_)G*u+E$IwMgwH{(V<}OH`_IEVIL?&i@*!nH44C5<cFT9UY->
zKu7owGwX|+Ko%QTc1r2#z~e!WNj8UjfZnEXi8BQHaGVaEc4+sz6hSs2PqGfHAj88o
z7{JKRPz_q0Cw*0PIBP>QO#fNa5CcSMtIHjTjY(CBwuJ~U$Sahxq<9I(jF3ObGwU)#
zY-``{J85$b6S7JLn=$02+tmIzqx-x9J!3nAS!cIv?XT})*Vr*&xpsTF89kaAQ<>K>
z5j9kGDw%RS7B(dmvizLR2H8%rE-Q0|p4^UE+AM`=2a{qH9@l0OqrzUaN(B{UO#~zT
zoZ?|q>^pz<(PQTsy8K|(F-(M+8RW9r8*lef7XITr?2~IT!zE=#o$!P$r`6rBUc25>
z?sxzoF{as292#&YM4u4RZpN{+i>b1Ty<Q#hz?T<U0Ob)3sm2ncWAU#=o!E`FIbN*5
z(D-PbBNuP&%Y*qq*uY(uPmclch_(k{RcB{Zhig0PJ$&_ik|qvjl-UGo<s~5Z4TT(;
z48k}PBhSgj<su`X5SeY_&ObiWne72Q#v7OjU|KqT+^>&O_ot_}Lf5yd98p&8QrNc%
z!N~fy3U_DIr(^XSqJwmF?Cs5hnONDYsoRp3UH(a_b<E@0U~KO;54>Y|=D%85#)K^~
zCaSz=mj^Z73G@v%Xj+oPryGoq+Cp%aH#ra0yDUa-hW1V?%2E9LLUGPtG*v5&XVTdv
ziyjwt!J0h>XL=B>Bo3LRJ$z7+H)SbdA_DZ9wwS=8lI<X^9DzXIBMhDsB!+lMjNk67
z(=bgA5Ezd0kN9^pFZ77%8bAn5j@QcvF)_&fSw_Lutf#H&#jQ5sI+vUs44K-UlRGjM
zs^LW7d)X#6SX)@^;^6Mawx=wqX8KBcHxj1*>I6q}c*z{)TCJ6xWq(Xf;UAOyR+RsW
zadKeH@sd(AIHjCsW|S6?dlTA=PeC5d(5xIv37ESxd&;XHi$x`&^Q`RtoncEyjsxY(
zGylEf>;G^Zd%F*uoRV4cYG`0`MU+*So)_uFES7nkl8$o>^4quc#Sk;Io}jn;awXgX
z_J^T8#RzP%RbftZ$fl@ZVo?va**MRuFBwtXF=c}i0c$2&>|xKDN!6+!-~l($X?Emk
z6Y!E1P^@7W7&P^m1mBmPcgpk(%#$UP=arkswUp%K=iNPSVe#JgBVBn!SRk+QCdYxf
z`vxvds%~t3rTgekr4}_rMJE{ds9~$_zwf)XN@d${mo&_No+7JmlvpDkW+9hXf||0<
zh`5Cs`{EbYYtEa3@4O(6e1r${@9xOHqeKf#b{S>eF0dh?rIEY9CY-YSe|Le+JpusQ
zjM;^(|DK49Ta4dqr8y`jvkzj3VmA`nj}?P6@Ypyv-7GRWZB`=6)m(~C2OdkDD4w2|
zb&vy*U;x6f#-J)@wYtF>JAf$d2=E_Mu3?x?wOjS}3SO1(8UfXc$Q9G0h_ho34VR0y
zFM+@7pxVhQlp#{L<Z~IQ_^g<ms<lwcH(MJDYNPJCX0hyxpX*rvm)4idO9%w;PgA7x
zVkNQF>di)t0kO~=HtAWIW|EuLX`4}NCO)UGf;p&Wc7HL;?p9_VnMtX2BuL$!E5#2y
z94AKWy)<%UCGcQJ2T$w~1Jo?bT9%CCnqk)o(kKnD0%BjiWduA1<y!amgl};0Cz)1u
zp8n>KYVM!*>GY@oXA0fVCsA7D5rFg-nc;z}@*iqxf*DM)jol2U)y57zO&dl7IV1le
zlJfqcZ%u%NYA5<pr+QE9LisnN*b`OSm&)d)RcCr+N~3VXKdEH_tOOP#?O9=J@-0rT
zop7COP!jbC<5m+{RCdv{B;L6ZGO0R!Cu_(w5FjKze<Ow!cvr7Pk$T+wfjvly(vejg
zwzK+p^!pKe3T2)0JZ9krn^aeqZOEiD_qr@Qb18dCJ+!B}+ATRZ$lNuAvbB>-y0Bho
zjeD(p19Vd)5Q-ZUBHr$^N+UpL(ul1ZN7^}%av4xiph;JCh$0N?C%9*%>ej=Lu9>V=
zJb!vA5u@()==tWqYW+K11`&>dy%%0<l(W;VSnrQvD;e%=VZtiCXNCw688VLx1-OHV
zSc!+wXDh5usb64EzR{aQ{Mv7D)F;_2Xl48)D{9u6*SioiSyb&*M3|F|Fc417>nov)
zqhg+Yb7Uvhtvy6T7aX)nk8*K$?N7(ki2UT`>HwRn<R*w@e&;Ld6#@c4Deml5MF`jv
z{5WL+I9JR1lBRZuvDJQu;H-<hR!i}gcZeAmICrwXjb~SU@cm>(>R0o|A+$%qK?N|#
z*i01DaAcaajEbs3z@)a<xyJ{EcyKuoEpvWE)Z8lHY3+4W?j6G!ezK<o+~5*y68Wg=
zw5ffSC1`gS-7}EKRm#l{{qFyTfBgT?_#4M^uf(xABSD1cNByh2DBvJlS)$%WL}>qN
zS7Fi0R8=*(00OZhFD^zBE;i0_{jL_RF7wmh{c^h1T~7LJv*}l|xmI56)N5^Df%A!~
zw%Djqd#CM;MX-r(VL};!4I?IOfW^vA3;{*dCz%P^S3}dK;qGp4q<?^1Fy3BJK|hB9
zhB*v-g^b)CZ>aFkT*Cl&k$fsQ+ZrC0YS7jfr8{9w;~%S9dv>jUZn5->zpKVxP3%+Y
z&8)}!v48Uf&wj`?i}Ou1s6)wOJR7P%NGaP&tw_;PAkCM6ZO-nD`^22r+Oa}b)5FJ{
zm&>vu1#2DznWf4-B`GqlX;qfHIg)~WAM#8J2@VE(1NEvKoVxCSP2#86VOt>`?z8AL
zkdTI+rnE~n3{n~aaI<~+q>W_JU5RKY%Bla62y1h4w!AK^|C}$%I|qALLj~&OWZO&p
z)9nt`<;@%DWTi5nKu94C<9va1pw*PQrs6<YWxq})dNf_z^O~q@UqV1R$2S3Cm6~>R
zXr90AV5Ehuh=M4vhUt#RhiGVhUV%7+9v~oLd0E<SOkE0*q%H13)vC<+H}l=wf?(jP
zs6$k;6W+*w{Pa=A+kNr=C+cT(O3dV8IZOFSc3X;kC@~_0<Zs_y4lE@A?M$i%-tIe<
zZKg>Vt2WO@<_<FCbLieZNq|3xo}TZ6!Kw3(&K|x{)9Sl-nb(NK(k9zoBq~Ir1M>k0
zC1|)RQpA{TuChW0<<q`F$)z<j)QnH(RE@B?Y08{$WeYLq9_=@R;FuD5U&dzv7fKY`
z{838-Ml#ZA@nNzWkz0yU)eQAF(7dk~(=M$S3Yin(&}V8EFVRV{{AQhn023A$#LTz*
zEDf4>)J-HL#N&V?Qv?t`{tvEh@aLl*Oo->WgtiK-3|HcT>goi1|ARRXJTl_R`hRr_
za-i<JbjicfnS><o-%WMBRNblri%Sc^q?|Xp2&S!e*=G$ql9C!pZC;2^Cd^QMSZk9U
zfCw1b9lA()R9qvP|BW7bku*YZ(K!pm;6YRB^t^+tB_gB(8fd^g@p#TIXn6a`u`kg8
z0j8)C?!Bx8n^;JWcDT5HGxsMkf2izYyYAl?GkwhvJ1{Hg$N&pf&o_8+opwK|W$dtF
z)hScA@WgKMs3jKPz;xET{|4*&%wBDSvxo~UohE6^6ThYHqBqX!7CyJ%cX}7MJ&(O~
zSwXDyE6Dq`#~R+gah5Ssa_tDT;#)!KZ*z!EJ>YRv&o}?{M;&_s(WUjSnq2ICz1~qx
zwIQ{07DJJBY59i_>rCbed~C$kqT<|DIwQ)Sa#q5qyK^Rr5tHYh@?6}uSXVdb=AH;!
zWbY<B^oLWM$ZWRzT0&`0pY}TY!+XR^;IE0tXy-IUSS}eiRvj?{%QF4r{0B)S19HLF
zBiIYIt>gD*(kmV}hjJ4Ocn;04S#iVis>)+Fq^ex=mO5~vm2G6H`YEeW$;@z@i}j}_
zQi1$v+R3_{sU#;;N8juzN^LDWUVEBYN5aW*rcPU8fohjcNW<-J(IwV!5i^3yP{2O^
zJ2TT?d0M@k2xy_GY(<a)DSh&lsJSl$5vC}BdLqATD|xJ2?zwzVTM}6Vo2{(NLhm=J
zEkH&hCUHH@Y^>WFl!rz|iaIZEa0ovrT`g*ww{`k<#>N3y7LxF2`e{?IB7{OQ$0(JX
z4?MzJbm**X<DIoAm0Wwj!j+#M`r%N9W~{A+=};O+mualXO%)$6#mT4T$5Pad-U>U=
ziRO?F)1&dBZ@O|HRh^hGE<XEnlV<F?CEku}@MjPJwlZZ7(Hx0)0E$oJ^o)}?8*gzR
z4zqE_UfyMI_u(_gkF8A(ci|zBleX8pd~b3euKiF*>=Q$G-tLRWRWQ&O-UESQN9;Rt
zwa;%9mmA@@noeJDq!@^rb<K2)>=+9|_f#_~oBLtn^}{t28H9=aS0kMAG4|;&tha|V
zn?#h_;Bp1cyvksM%6SgCpc$M9VKWpH2VHMeVV3qC`HxW_kPU&potRv2ZZRz*CaQ2(
zp|oS)U%#i&y717;YiL{jwCW0jFQN9UfWn$~Id2jES&3!hY#Ksuf8NAwntSeI{B{b}
zpIA?mD{;oDasa>IuN5K7e($%NjWZ0}AS$IUoX2pTa@Gq?L=QDob;8|5K{u*R58-$!
zU`=`mRpX>Pp5}GYfkv-mbfgOlF!=f{RO8K&9&&jo%o#n^`y${oj5;5>>X}FLUZ>)`
zZy(2)=1Ux#40-MCg`Uj`7;M^_bUK9?!%$SfY|t609kg6q*x(xOplf)i4e*O!TxjpC
z!9pGr0Fjh>Ke51eH=+KhqQ93=BO|iyxtmYgn*`$~t>m7hs0Lq{>IiT_98>X-8(2Da
z%1??;yGXCSCJkbcLkiL%YhCi-2V{dm^9}COM;0;lyn%`lE~#{Z39WZ_FUPJcB3ojJ
zF`|XI*4!<zu>q8ROQtQx9Y-c=NU_~hoXN_$iQeK!iA(76<N1Iil`Zv{zz>K{<cmZC
z3~I%YFMG$m-RGQ|s)jC(jBt^~#ha(Y8_t|(?c!q4@}WOYrNi=tlUjFUw=A<-uyNRJ
z;fY>>gunX;T46R;#cpeJT-Ysc)_20@ZHwRZTCdgXpmx8_S8OVXQ-6;*{y8IFv3eW>
zDx5g^atSgtFd*X6C{2Z!y;_Vf*xFaEh*4G{kjI5cB-cm$cHiNV?p6-1cKmAQLm`DU
zU~;<kj%PSLNDvV*=lJCsA-LLhx<(@wr&(UZf-IwRXX>xh$mJ!YNJuld(NB=pzEpW6
z@WPw8<SfUm&z*Ic7TcN5g1~RIWx48d%P)8{M`l(btIggg`-65;IA&MR%OjFFc#zgI
z@8*A{ns$?yb^c59inf=3yF356H@g)Xfg<m9m8=<5od)noFaSD)vP%XDz^M}*eeMPk
zYdZ6B=3@)!pJZ!Z365B)Tj8=ZagiMaQPkBTjS0fH`|fimNhWm>O*YRmq9Gg}LQpbV
zMSgRgkl8iF39lDhNvShUg90<=2<cIba9Gz*p-;K30Yb8;f4)29(6gVJiv80++kdUQ
zsyTOa&S5RyMZ<7nz)*><DEaxa{0D1WC%_;30T)QaFQ?fXwpmex!41-ghb?=(Al44#
zx^g_NeK9C9lHMb=%zAN-&8{#ZrfXlbY@O6=L5UzF_E8Uou9W>mzzQ`VMzkG#AoB^L
zY{CGc^Lxh{nP0CTVs8D_OyYoK2vjpMMM-i=tg&cyVb>*2+<!eUMi^(B9n(GG!&4OU
zMWu_dR7H6z1)2_Rg_9v8#Lr^=28R<L=cpX(p*3|AHW$_dX5DmGqG`)%JKwTA0GLB4
zEx)Qer3@QX;7~<vhe2844b(2!kNxa&eY2;ngJpJ4295P_@3J?*h7G4nx5CXm^<T!#
zR3s*TEw1<u*+eT5ak4BYUX&k=@eqCzLcLgKz1bw%_@jRQgag0fi(jUrZcVpXq&#cP
zM$8?(_rVVEQBnlz_9WYo>DPJ=w7bQax+PN-Xn>^;yKKwLO|4cX*{3+Brkve#&t~@Y
z_p=uB^bR=HIdbsUzI}TFU&Y16+Kr9Kt1M1BhrEn{j8E#U1tZn|7{k&w3=VXwGkwA|
zBd4hP8i+uw<eON^@ClfNi<Ry$w~W7d@$GqPU2vE<y{OlJ&Dzdk?%;fRHEU(nt-&)9
z`1K-MM!Sp9I|uEuu6fsBwV{6wX~nmRIvuW2F3OFwOe(wQW0mx%YUbU$<xXA1IwH2{
z`E|Boaqi&bdN2QKAw|BnSKUiv$YBf>WhM4?R~<3ikjkWfa$O|q^oi`eqxXrh==l`u
z@}Bj&kFdE4CiCeI>F{&sl%C~E6W2e@VH@jinfd?je?^x2)&Ah*BSwRmQy=jYMl*<3
z2M#|R015CA`<gCrFsNxmozes-Ix9p6_YV`qMN^t@KF_$Yka^(}J?rv1t1h!~feQ}3
z-wcSNJDQouzFs)UKT1*F80<Xec@SxKhF}0SK+3;sm)lwcwzdSM2UnwZzJ8sAvUae7
zr$3@JElt-4^z1B$uZbrl^vsO1dMZIGY}N|84qCL3gDBr_rV8j~$PSUo)$Fdi^zTli
z7bJ9c;O(Re57#e*d8t%Sq}kn!jT|<n9i&h8jS?||3%<^Y9cy|`xt9{Jo%pTBk$?2>
z4xH}Iv>HX<U`HI4LBE!8mf|-vuMsOEAsvr*vQmj8Gp3m5dFjm6EtcZ)*Rq+EwWX!t
zuVm)}+{d&s>*aBetf*)J23cbDb{`9E=Cn>`D>s(F6x)p8<LM=vE+h8#F-M=nWcetv
zNG|q>Lf9RKfrJWpv6TvZQi1N13amkvSgh->b$tb72IXN&+QD{jm>fPaCD30xx^jbr
zwSpVS{hVR|-uyDf&+@2$F)N%VRrvunix!)Dk${mFU3jsQ;N>+vI#RS*TSEj(=jd5=
zxlKnHH;u=tmwPbE7s@nu#?p|+F=cVhIOK7=*IY3U*8}(Boqw*mx3)S$gNL<Cfxf<A
z+;CTI9Zu5uCG-3)3HRftF%&U4%V|ywW%Xt=kAxNrH}H-}dIZ?c*Z|)p#L~^O`|>`r
z>GBV4jN%jX)h_CMRD3Yy>=ZEuT&`(;qUo6O7H445pZ@g_=T}IZ-Z!@+;xx9LxoVOb
z8x|!N^Wr7~&RkusIIdP;@I?)7VT&GViJ+odAZX|w&;9=f#l4<w-^2?a&%;9q>)?y>
z>*EVtk?e^5(C5V*_PPcyv2MuDhp#@ueX>P%X@%w4+pkhv{%YJ{HBdi6DKMR@uAgx6
z8f9i!OWQnu_se3iw-Yes*@vFcdJ_n!B$UqBVMHPsp<&NB)hX@lHi$4_Pm5AWWx~WQ
z<d6*;0Mj`Rh<)86?+4?@x+>XkCaDNwy;@oA5;|pW?nW%I@CCH2>{*2K_AJ8job=Bg
z#BYN%bw+LD7ly=y<0kuS3JLDEgYE80=v-syR{4_!x6f()#5z?x9WK^3-sos8-~&V*
zCn9YL<{r;rlNPu0qB85}XJ&}(Ra26DG0|A)UhXK!u*zM!O@A*|qBj>h&Gu}Y+4zoC
z=j4R57QK?qT5O#!<`u9FloIPnoQZAFkN1$`2a6UztU7&JNjwcu6JdKA(DfN+(b|k(
zkTLM$rQ}sEL64cAuIH^)jQs8&c3JzMiSF|qo2Qer<-R*>-?W`b*J?`>RWOy~)yU1n
z)xvvu!JZ~BFtWj7oN>Ej{v!@1+`)eF)PkAq%LGXqsARpr@AYhY_Q9q^I`+54<z@3>
zbcl4U7&~xHdV$fL6wj+mqbNMWYzly`mnT~?J-?V*cLG_0+Qzbsi2jI(t8(|+Kn5vp
zT!FWm9c`MSiSYJ{hXMymRa~yj5m6E0%&{pm*DV!k-0gk-wms<G)hP2HanjBgGh<_-
zS3-U(CF{WP_0nQ134MnQ5O%O0s!IeWFqKqOg~mKZmHFqlt|nq0pE6aCpD=BxVva%0
z?2c5EVsP33m{*jP<4JJ5`^m-AxzFc>xcT=~j`G7>MmS!KES^6zof_|7o9Uxemmy&O
z<Ts&n{4-!AJ#)c)Faj^X+aeM<fBM%N*I&b}afW@z&~LOc)bPyb)QDCaF=ZEM5u_U0
zOs<eZA=;^NLXUU2FISH`jr+>sX?`Ivzp!|AA)<8S6kCtVblN4}_FJJQkscn%w5ro+
zQTDx8BW%oA#YtIQXuA2ikftN-Cv}Hsva!Q7WIn3Hp~oj>JAhvZ<IP6|gFv2!0T85_
zBh6Pf%$hN_sG1tEXJu9IQcHk&)?r$Jk`#^=Z{qLCmuILKOZ`zhy0FE|Ke2o5*IisF
zlkUGSm}+@H7*^L-6NSQ-43!IW=NM@DYVnpPH%94Xr7ayr8nS%*kI&XLIa>jDce)Cr
z8p=z>5@dLAK*XcaexwrE(S&KbZY$_9A%!IJjP34gtO#s&*d#n2SNWC-xpy3`?x?f8
zl@d?Fy?Fqbt2Z<#u=SV1P8CXlBJP&Evj0qZKd;Wvj!;RTG+meepM<=*9=pYBpU{(1
zePfbR->K@H2aOW5xgI;qpfxfl0cf|3OfWJmCQMlOgf)luYnXeC4v{`pPyAip?O$3F
z|0)F*%37>l6Y(>evp=}A5MVHOdJOilHYewYBV1vFn^U}SBk>l)HnM6J^ynW>bp=Yd
zz>^EmlQqK`p)~~WXGw{dCN3x49YalIsuWAfr#^eVSyy1;BjICZq`B<(jM5~014ZT^
zx*-l;8J9&b{3Z?ibm0On7dx5e`FWa&b?pKVE;cz*S>n(ZT1kb;3LY`CUh958RJ2{)
z>Mj-|D|-UVKbfMK@1ShTx68+WdgstjbUClmhWyaHq;JAm_tpP`)|I_@pA@DF!F%6!
zjS$Y*l&DG;<2R4iFxjVi;Tyr;SP?0P(ztYMTWUZdPgX}rk5pU!fsYnGrYK?uAJvOB
zdkwWY#S~&p(Oz;F3!BwBk>l>+Dw{e8F$D%o%JzXn2i}ySMO16>qpF%CCx?$zF>UhR
zi^%$F3QBoOW5HFWMn~-gR{67U6gA+)Fa2gPy6{2wOO}o`8CLBtV&W1rE~F!p@t;FU
zCx=|K{A)lM*O-+yb-lP*FqOQWJdZOW2BOC)HW=INu1ming#2w+!8>8o$V^DWwjojO
z5C6=sbXMr<AJsxqL1bse9iBO3q~UVuXWEQ_xBD=~b>2{$mr<g8mk3PgDa)6D5!GoF
z0U~09cGNq4-hD7w2!<I6wT4A@g;h8!7iFmJh&ZA>*}pOH@#+%%=ANK(p)^h1G|_>+
z#VhC)78fgV$3rQnFMHsaOZc75MJz$+x{Lp_P2HSoBT&l07NzXj#TcI;=J|TBOn{J*
zE24=#OuzWK?e6^sknUnD0=4m4yQDO7ytkQ#*mfws4@jw~^Y&2!;ZofqnFfe_hPuJ@
zMX$EI8nx?pDn}7GhlpejXBkpahaKREU4yc$QfZbm{?Xgo+PNl~KERI$gIymI?NXZD
zmfP2>;v?B0r9l;>8N){dpb8iuN<$k)`)~D*uM4e9bn`Y6lO=fuiZ}R^E%|*<aPrOd
zigz>0-0T?rtKrIccSn}cZFSXHINk5=_8Hc~3LZwBfIwy$%Bj-Cbilf~<;}zAsh>+5
z7`opt5VHc-6<KfI?)$){ln-8#DL&*Ia3Z$7eK&-#E#6YmBCQ?Jhk}LBSP$*4GcDmQ
zO2I+fDHgU!33&!#<r#<Up$yDvoXKf1rOMJ^_bFt>gvm|XPwRd?7(eKC@Vwe?$F*eI
z!7gF^VlN<S)Y%%A0<oA)qj&pFv10BcqLnq6qje95@<-3{8tR-c4oo<2z5g-Pkq@t2
ziv7h#+7oI2Xs*(5R@03=?oOQUMNAIJ)^AH7NMxkc>G>3?yN^FhAtH~<*Z}bcDRznl
zoMyzbQA87dNGhcb|7~(p%(|Hw*~r9FVDx#(&4mNn8mjfvIVHgDTr5AW+zwmJGzyWX
zVN~*mX-4|_qxz~7;NRGN1+-H^18t;7?oTs5n^vXMzB}LeW<BICK%SK4gJ8o;s{tDI
z?q9!+8C1fvLXTBux$SOiHl%~3ih?n-2Y*g&CQnbSXBOBGn!n*L-OQ<Oa_rB#vG1Q+
ziRQ2INd|Nnz%cuMX?2t=fyRp1Ro%*wDX6DqUtA#V3Hx;w%#pHoYlAas$aGJ?#g)a>
zM6N~^_Tm@b+tCCkq%-j=M#s)VXKsh4);qh|t-V<9C=GRBB&0NZf7GYhwq{y-X*$tB
zD_FMMt%fRg{ANVJ-HKyu7-VSRm5^0eOU&!IYl1mXv>mj-5My#h3lt(u`gY$nIZTW=
zKM~j#3adelm+in#I&3!8I%L6A4yw#=smqrupjZ(Nje4U**=YSEuF@#s4G}GM5ozX+
zUl}IkRrcF0`o}&v%3Bkk(|r54;COP{@wu|CIE88<0HB0LN+E&(aqvY&in=Z<V6(i3
z!)z=iXS0T`t`CfBmo^hg=#XY&lyFZCE#wECh34IKzDgk~_18RW(xvwi{c(aKUbv1>
z>wrD<>nWH*iWZ!*!5eRD7#Om0n6u`O20|t5j9h<jJXrq;IX7`NB0prT;qAT{o<R{K
zDY?#lC0?w~$=ym<m2WhL?i?o1l&obADNBEDy57;}CO8hT@=P0?MyFE~0y@m<>}-#4
zWzvl%zl^KH!z2Z@5rY!EQ5<2M9BpqUJs}bjqjsbw>Hdni@mX|W>>y=Z^aG|yA`PRZ
z6cUda*-~beU!0KWR_LjBA<-DpMY5YQj>|?dtz5*BrzRL38SM`}J>rIPa;KhgPRTvG
zx>?ugU=xrlD8|`}OsV*I35k$08WHm89L+hghk47Q)b@23Xt?X{BNmwJKK=bq8V)g_
zb++$KPOQk}Z!a$!5F-&Vz%Ihx$RL+LU}ttLFe*Mvg*nXcm?<$fzk}VX*UpeymlAY=
z28`48oDTev$t2>sv~8W^E6aP$D%5#AMaor&PO>+_opYRQSUC$J{cfUjEzay2d7>+}
zu!vY`%C{@ndavUVdjNgOM++C6i7m~<)*P#<Wk+AHZYac3P5k{a@#3On)qF%4S?Kxr
zG(bex1xpyr%#b%i3{)tuD*?NBr*+|6U4OAN*;s;3Z#&*@)ZTtHIoba91Oy6=RI#$(
zGrmgLb1|CT(?a#@>)Xa`Gwl9>BH-DDV2BWO$?j%DPes+(B?ZO_aqR5uV!wCrnG{}O
zll{s(!%w>fshN{-udJ@{!bv8PPFo$KtA94+Q9U8GFDOn1K=2}d?L5hd5<x$7sGP>i
zBuhFUN+;~NH)t^aq1<7jR%g^593^$O6RL=0Ndgh(!}^QbM=tA!`!*hyX3KKPhDZE=
zqsinCQSBKM&i~6;>OK#f^g${^4%np+Aazl$kbKx-mp<)ooM8ljuzcVExccc%r7C$-
z7DX+8FrP1pKzhNZ@2Oh@F45G^9<?Qb(G1I2U|?P|i*8=X0Zfi|W_j>GZ8ecTnO@I0
z``T{0tCjcqet+FGMJ^pPyV4Vgj4l5xyun=xVKh@}QRP}>G#4O%8OAQSrJ7ZBzll+n
zrcmAeO%B2VZ6zb^+8d%SAAyNEv{zWPCkh~BC{$7*qgoJmAKH@<CvL4;dzMO&<!$x^
z{N1hH->+_MtZccZnoP!pX7#r1d^UH@Jw4?<);p5Xj&>QY7#B{g+|P^b@{w8<bUQl|
z;}TQ0Jw6Cr8V3fA&87$97+KZYmi+J&bKH+pI4^mwJo|0?>UAb-iV6s6t`DK){%|^?
zzxShWkfY7*&Zu0E-v!G~;}L+8wHTtgkc0ntW0qgCHba1TT-ha@4p*qY;!HQ9Qv3km
z%4dA>Gqdq86wVB%SI&Q@7A<3aSPe>q8TSG8sxK>WI9BYo2$tDVK0bAJenZkcVQt;1
zB<@s9RO_BXvt>;{HR9AP{jS;)fS)Fs*;A=RI{8h;>;}YoD6r?Zc^CMGXHd4XuDg%f
zc?Om^Qx~s`wz8_oW+Ke2kV4!|Mw4&MF8_5L?<+o6S!7?i?S}W{`0W_sI-M<ZoAmKW
z=*hag(7<0|HlUIb4({No9+)q<f8wH5G}-owd?65|*762Gr3$aUZXRVrN+p`Zz}1)p
z*t*<iCPs_vxw*oyTZAfnk4Tb$p0EVJ!NplcbC|p1JY&bsJN4U5EIID^f-X0KJ|hPS
z2UzEGm1CyXx;az5Q=yVhc*Yz%GC?rL^+Q!ved%9k_zO?<Ap)Se{y&6x>O;(<qN1Qv
z<ela5j)M7|HB8~#eYNzSxl2j2!fPHlnO&w4aT5=aI!u$4%Sp7~ki#el%marStER&e
zQ_BF$RCYA$<w)*)>CA8J{G;OXcX~iZ#p;Y3Gj{PV&JOk&c9ZHUI_)&+;fO*=ze|*H
zb6@d*p}PIVLWagcxv^tuWqH)*in=K{PAKZEyQ9}YH3o<`M{4hY!M{G8_uc`gIzVJs
zo`LxfQrv*S$E5p~`T*V8IT>o)^u&eWd|7gQOmy_?YHCBnaWy+z&q?khqKgrpEI6K`
zz!dCmFAQRg;+M5T{%PZ#kVU=P!8gkl(mBV-#DMoh4GYVi6=Y6=>tXqP{N`}3Si@~9
zk397PUm6CnX4T3k8wb0!q@8;i$jm47eo)?<YklGjckHl^?Kpg1j!P|(yU$mI-qUvW
zOi=2a<wjxWLIh3sAkJ;B^P(SaM|g%L;Xcdd%}@9$ZkJ}x*$g?KfYxo+MAB)WF1_9N
z5;QEY>00dbW7#{Ep#zw1$%J63MxMKtJ(~OG`+`{37e5`n2O_%OpJ)pZS|DPIa&mHt
z_YSB2tPvHTV5Hs62JLA5-E2T%=NYH%Wdm6@_&ui|vO$AOh=&_-P5c1X(sKWRHe=cQ
z>lK>SOB6WP(&O{tE|8RMLUNxyp+`ih#2v23<aqnpozGWf1NCbJ%B-Ci->4QAdZ#m;
z2P;vo&&;d_WnxIG$yck}Z972IF|d^d_0Ie*)m;9$@7y`nLA9QoC|{b+53^TFtbO_O
z20F{IO(I&-Q#21IS@;G$!nwYijh{Xj17Y0>dd%l2rb~@88P%9mr;uj|&g~gjg+nzM
ziQ&EN$GIYkB9wN74UySHevO2WA|GxUp~KBjSWBfbdC*a=q+|Hugg;CQG5kbe0PT5T
z*VP>hzs1EDPsjIL>BN`ZGtk?7BeqbAN_xBRibi3lh?B_pjsyB1vaWvNkHRtYpNhZu
zYxm852dR*XZRlB^jfE{N+~77fkqaYRR<3vY-sBaodBz5tARLMm?j1#TZ}$bc;Ir<@
znp;fE<(Ul&^5RMDaqrTAM<B+ADe}CiStgpYN5I$c6uR96_#_!@V3*RARO27Ljtf-M
z_nRGdN;-Qn0ot6YNkpE)5YVl2+9m{i!UCo#Cc0IcxWx}XZpfOSZD4=Cx{doTf@vhv
z)#i?YFU~_r3MXk{XUUFhA=}Pl_qi^lin-B>^w*p5x0uZCt9yEWt}_B&kQL39x-;?p
zFM);L&57??{peWJKfb98Jr%NwI$^DTyDxtN_^buUiy;(`mk(SKE9u@QH8XPsR?1rx
z^i3g)5^1Rt_xcGI*R%JBB#zaDtR2(2z8NPh0!=J+_6zy8$Ih-8XM#VuIhE8H%CH(T
zYF>R7+FNmlJtu{nOuRKP*rK;TZ@&D5_g9mYx?1*|$ow!{FCHmQO_=7Ds5cwu_z#6#
z!pWVwn+)Rildi!G%bujvgLkrJ=9*lw#7NRgbR3&;J}?j_nWi=JA2-SoAhII?0P_hc
zB5NTmA7OvMXQ^e-Md#v6iCOpE``x_$w`8k*|Hk-zzfx!4mEfkZ#E-s`**C)HO0-*r
zCEb_Yjz$Uq(<7t2*y|#;!?Ro5!bb}6c;_Efr-~=U9VYXdfT+?8@8Mz2wXzak`$~r0
z6^1h?a?ON(?q*d&Omw%zti4>69}dHtSZ3_MGl|+MpK{tcoY#5uyb}+e-Zrvhg?!(;
z-w&TF8sigA6~Z^7+!|*YtC9u!w;;l8Oupd3V#Bkp$zc<S6SWZrT+rR?gwzM>zqp<k
zVv{H7l+TTmVkH)RLI+F4{WONkzO?d#Ip>{gCeRP_5dHEKTe!bF?tGtp0-fkuIC)kK
z@dd>cl=81o-0Gt9i%|8Uq`v7<(tV8ugHaY($sgm18T6i=Yq60-1G&>PX&(Ufu&&<e
zH%i!;_ICX>SzRrT=~rRK=(u~_yD&7=h&?4sjv?kE9%4v%2;@{hf>BRh<5S9YTM}z{
zc}Q~~KOZ&7sP*|>1*#;Oy(#~*g?Nllh^0@6xh0_6D`c;obQiZ+0)(z!9^e1$HLuvL
z$^9qh+!ZgBu4b)T-Neb>8_ldn&DKqUjJPh_IUvbQRXjW!O6#zp5TG6&AK*A}G!Qjs
zJu7sU$GP5DOybW6B5R;gQo!cpZ579Hq<ok)Zcij;2ZQyfRF}!lJ0|gwyR6SA$Th?x
z6X7{Usp(y_L;Fdi0-0M%n|YO6Mp)8Ms{Z>9KpWPg7CpX^G0w^wrEQ@NdWj^5=YSX&
zx}I?}v*yq-*hCksWF$ZHbL{BpTEJ|{jF4NLxu{n?_-3bUI!!*JIT3sW+dzzhIDXVo
zzIV`WYd|65VUaOcR;p?YJ>7)QrdUZws&%&Q->+;L<DG5sbuKkgY0T;o#hO1|86%R#
zd&lIbZ--D8>+%ecm?WMyFOojRFg!zhhTLBBBET12Z;4o;+ehPJQ(dGx24`Q3*nUp8
zr-<=WtZW0AUzjq8QRf4xf&oIvGJyA;kzeRf__gB?o-i%nA!fP?zMe^Kx`cb@#bO4K
z&bA~_l2x}M^}vsB<V~1R*M#_OkJH+Q2wGS6kDf+GqKsSQ??ZjRd~ILbn_Tl*fPdz@
zd3mV~$AwhQM)@VFLxY|jt{!M5$G>o}%GJ&zk*59EGMBU8jAwo=TkE-&mw?gOl&9%c
z&LxIq9p)y4W8~;<O(~$oLd~wN3u|z5n$@i2w<d@O7{3|VqWja@2;ZHPO)SPeQF6G5
z;DxT9Se=9LwNnS_WPEhAu({e7(tJq>xa5cDe#k-%8b<YA9O=(`xg$51K&v0?_?At@
z|NNKi{}Q$V-f#Ck^}Z(fs(y=M^vV^L>MUW$bn;Y)NMvP~*p2A7iMixlc7HpCSm%08
zl{mGzatq*oap8XdySYMHi_0Z;NV11$DXw_9s8}iH%CzOa=e=i!rjm(>`cWcqsyeVs
zbRO+&lQiL-#H{gNS7-09jp4yRER}4vx=K7xaNvRMj1F?z=IYH6zC%gBFG#!6a|V>?
zcNO@wWm2(fKWZ^reS{zDy^F;{{<hC=zo~k;!>pFvN=d6en4Tt$v=BD;?cJH&aVtIt
zXi*Njrb&lt7M8A3-tH5O{VCNV3YBT;UipU(kBJj6A)Dur{FMoy59ay2Rzp;0$g#@F
z++P)M^{wwjE=;adEjC&+FO|C$>R|eJqY%a^_o3YVW>~1UPPaT>2e@>NAfcyJo%Hxw
zBj)?l8wW6PRaB&J6vwgJ<XS|csah(9p<s)V_jcS0x74`m@>Du%kYfa}JPh-@82KYy
zRM^>hM*j(NzkbbifH#|WsgTxw=MD=cpYu(rW?RPchi7Oy=`&!nAjm@3(VY5!k~$VM
z<>?o)WvemQIrvx=pMwNBq#ev<3*Z9%4?D9v`e3mTWhV)|5`q-lpe=rS1NNQL^n#)G
zF&q85?%VE)VMaJ*>rjoYm%223P3U>7SDFbi?Kn(K8)d>S*5;jG><4T)&|g?tuu{qx
zmsB4}6^f+P8Y9qAv|oRRy-)y_-o)iJz)f6pBgvBHORA?s)E*{UNbsQzX4qE^x_h#3
zA3yBCs?4S$2;G+u^1dc#M@Q-@2E9qX1lT}Ig)4cNJ_)?*awgBN``Q*y_t2WULCqX|
z{hw=n7)#Iqu}ixVp;ZZsjlIDkH#L>3*xBzLxJp@_<vbMT4nC?vzyQ#BlJ0kT3m#9V
z+CuM+%{kxC5e*Eo9hxx#5gUm0$zdUTf_bg1wA|@=Bx#n?F6nuI7I?m4md`kshh%s!
zo-yUy(e944LBHVG;*VTeDQ@p~QBy2Esi{hF0uqiASe-6dS&ImE9PTs`Y)U{iYbE1|
zz8gH!K&eCb^qb7Xk<@3a?O}-XJB119LhRdp<y0N+junO+biy455)e}3!W;YI1%Vi7
zxS{0k@x{f`Z~wVPhkqI<IQ+&?X9WyubruHOodGi8<kOaw$u8erIDb;Ej6f-cB1Sbj
zgi?$qGnpg2;q5uI`P5_hllE$5<gAM<6}00pFhAy82RFW!Fc=jdmq^gZnc;c>F*~ax
ztBZ4-$w<qsXCL$2yr4GyUyArbW6ehk*{5<<!z0xJW>1psgfST&<*bK8BQuEH;XH_V
zcJ1OSi@4Pb^Cu4?Nch9Ic30fwQ0JXcpuye<*(6f7N#x!LeWqA>CYC>pu(>MIHH4Cb
zF0d~jIQDye|HRUrztu=F-vD{5Q|LfL=aI2d&T;Ya2X=?al!vEY6zmu~O;Nez!c5y6
zRSG*Zlde03JVI6!UGK3Rn;>fdfnmmKD&8!uNF6^RzsA@Rc4aHzVHxAN-zcBe+`isL
z%r;~mNM>apw9GU7#Cw;jSjqriS$E0mjf#q4vu>qOrjj3P4Cqn!Um2Ztn43yTQ5fWj
z$;!!W6IcXb1g7s72J`7oU48UCgZjnK%+J4A7EVKP!h2mfrBS=HC6T?DDp$y7^3ci6
z+o&nFKD>1mbMb7DMxkETr&p1<ao+EKiM$p&NHCsF_Y-vi-tKd9T98`UM6~bNDNtHK
zNj%y+E9H4(&|@}W@G<eU4{HyE0fb~Rg$S7^!axH6bq;posp~zN?EX-GD92gdbd%Yy
z9@6B&m!md#B@k_l)DmatNj-C(9mueV`qbm?zMl^Kkn!j)*5Fpy&+o3|R4(2c*z<!e
zC<#++6E_f%R1XmCokp;;Xeqyc6_%jFf4W*;qmXf~oq0g`^365)P)R_?JEW2!$;_Og
zkA_X|TN17Ty|I4jWc-oB2xnW6ySw-J=z^*Dz4i7SJ_c=a0Xvp`HSR`p56JSFeWS2F
zUTTg>TyxGEXj4juOC;83S{TF<PzkfJnq*d6_oOP@lv%x3FTaNQOk#Qvfl2PlHaIaG
zS)`N^EhpwEndsi}<9wVVXV|9f1bx(&T|6-K3vBLy<JVmLFf+?>f6YVXJUaj(bh(py
zK-{v~P7pE@g1;IXsj6F!cR4~tzMN$vjW^sZbE9a2v1d5IS_D3Lb#1=piu~rVn3r4J
z#;xcySrpJMP;wX4xm39u-||Xnx^^*|bLZFc5{x;r0_gi%8|PZnLNq;cPuNgn#(v#!
z5OW@@duoAz7h7qVa1o^m%FU{?j=*z}-wA=VF8_?ghu|pv%r>;_JoZf33WS}l=eAd+
z_X{IOR>kkFpxqB1$-cY?#VN$o0PP^7E=;ag{gdkf|1?6<+iRQKJZm;gvobBT>q;-!
z!r;I$8ZAL=8}sHh&ImA?Lbbvf`@^yhWTue<4}^s39OuiVhjYa<t@HT|;4nIvr!vhP
zuQ7xVSG<T1tE4TfTFTIusBX5fpyDijc!(O|6Vw{ELuUM*uz_Zn%=b)Rw4C6AixzY0
zc_gt1VQRk5kqF^ZY8eH+<;!O@N^uB07vj)A;=Q!aF&}NvznRIO`@7a()9^-FXPz}i
zwAUXqu{&es!)%-hhJ+5(!T@67+kG})?KjA_IYDvTnX$Uebd8*(B!onY(~r6OQ;}D;
z+cCKN2{(&yZY~3P;9m4Dm&mH2DcGS4Q>d{KMK8$XJ7nA-41eg@;SEGKD1*MG+K{7I
zB-Fjqy5DO^jH)f~v>l)*`e(f&%#JW@2RF_En%O>L4P$nfp-~6`Ve@tfIjopcjrQ*2
zuZB96Ogxg%K81%2cf|t1Uv)mTI-Gq;sGC*Q#z|d`ONG>XD|v#TqT0D=PIP8MqFav&
zbta^ub21-jyzJA*E<9FY1+umRmrSG#YaB2LUqMj0``dlZLc>_0r9PnhV&snk?Q(s6
zv*<syFP)mWKlpYZ83#(q{Ng8x{a?(=XPaFTv!`481J6vonxZ7^LJ?Pg`BB-Mu3Rbw
z(=^9%TDe~H2;JH^Siv4Y%i6?d)$6qlzUd2gc7atYYWb=^&AYEC5`-0rU(RpwAhVB@
zv=i;QLaJLci4tAiLoqaOzt}{hQ?8U;%NS7OdqV}*M>5+=ae(CaJWXpBBeWY<^&tw+
z#+KYr+6OPDR*R`_>1`?1evgV9fHye+c-qa*>7nn7>xXil1<U{Q?(g@KMdM)FiyH&4
z(^Cx`H$}Ax;NU;LYEF|4*L&?)5~fe|NJS<+K~^Pd4rmk^czjSBzXbeH5vmF`8W=O>
z+rMP3YW>f~#N4=7#ti(LH*>r+v&_|>NG79-?&V6v&u(&~OJt3dSMF9X7osK>P3!a1
z()qP9*pzvYkoCPXxtLQU7{lm5M=5nj<&0S1R=}`%0?_SsLl5xSOcK<i($w|}_YE#F
zJN(5xY2N%n5Oz}LZHOUk7tX>~-88mjI|LJoAK9eR?8E|CNFkkPPfl&V(di>pb4wDV
zxVQgNd(QvyfO<Sjw$^;m4U2a>1TPC8MuVSkrXB$H#6x)?Nom8CEtzmC8G)!TZU+=K
zWtxrac%;}j&Ivy(>d{>=V7$BcS;;@#b7$qP-ekx<?5iw+03j`!7>QOxbo;YUg(n|6
zxsdfyuCgk9_I2A~po4Q2MQgJA=2mXMYd6m!t*n?MpRO=&7Bu)>Q;_h7{*)heTjAu*
z_~_J`ZHNbD;Z=HIb#t3{jduCnKSYf*-&XUQP&qtCYa!HPR^6?k6=pE<z*bvgseUx;
z$_o49*ZOfk{e=I9=}}`o%f`McDi3}@kco=#QIhTFB}zAJ^xJ&}!g@9h=of&<i|o4G
z@%W*Uq{T_+x7F@Ix&6APjGkF1jgmSkW%Ye&Kin$BR+xq|VkTxxy5^zJ=4R54;>4Kj
zKQ%(O2cFb|%Q9UL@T28-sjDLt^ApzNjZ)0iY4aG3;I5#c<AV48W3_pKV6KD}u7L3i
zBU-II!V_=NcQB&~fKi*ciK}wY=+vKU8Qn#7nU_#<uv?hSVYbI-LAfctRs%_N?D@p+
z?LIvhU3j82^YmRjoj-aCcJa@GOnZiKdm3m_Q2D<R;~$p;Q?}J%MZ@ffHoArLYEBst
za02qM1W3dBZ-rRqN<U<rpTAt8fd9t&6jn#5@pGiliMbEATqSl&L|NZ1nZ*b;wHp`X
zr${R|*tr!RCWBx6bbRk;MW{loaq~PWSX@Sw1h|_T;fM%$Dc-&v3B?YweRfuN(rU(d
z5nx6G(^yl5NJq71xX;7OP76j<n$-ZlXD|HLY#TmPNL0}J6Amll0HZJ^Cd^6_da%x*
zN;#EZZi~Txem*ke_o~B=mMALd@%o$xLhsaU)}h|yyFNnagW4P%(!=BM5iIpLiY+2H
z6#8CxwXZPcG2u+l#x@qOXuQ}2da&gl)n5qu&+8q|sgCw2-L*2^cs`&l9hCr=!)H70
zo;i9}m~e}W22M3syYz`6ip>;!@S)jr6T<;joI!CY{r{ux&EwL(v;AQ^ZPRI!m~k96
zCN8(JF=LGyW8AmSG>M7pjkYe}(uk2LAnuBw_GxAkS8OzKUnX&DqDWL0H=wB^HHcJE
zP%se1C5VWqETZ7gbnbI+JGXtF`^WQoUbp8T{f8Il`{DaJpYwiy&Uv35BmWH$F;u#U
ze^T}hq5;COG^=IPqxmb1jlQEvp(+WNQzUFzBsr$VcN>VHEez+n=5-5WWO`Q{=NpvP
z{05@lI5}N<8rnzlTFC6Mhk&G)7&FM(_;~AnQld(R$0J{{+dLj(BvHAH(kIJhrWaUd
z=fmG9lV0@*@1`b{nYo31S1p@r=l}$F1K9Y^(1++rUhi~GSIyNJ#2KruwEF+y%$@%Y
zR<P=d(QRCGHA|~toV=9H@E=4vtG4hdVWbpLCj+&82(|7UvDHST@~b=K;l{)#r;$;A
zp^T_+j>MBq(ao*IfhPDd+8{MOj}YD_Wisz3fxMI4qhZTH?SYOVAUhr-?np>Xl&Nb6
zPKBq4*KUh%PS0?trrodD99pDHO0ZYF)!~Xxk+jIL)uCRve;@2X=esRW*!0OEw<^rG
za7l52YY8q|5C@r^xJzBuOAG`0&Pp45^~&eAt~i~U%h<22ow#uiLE~Khk)76sul?+u
zvmP29g$=3tOie0j-9&V%bY0lg@oA}4ST1j5344ih$XXDeP`9Egx$&XW?wGe|!`Eq*
z)R%Y8v-zrf7VZ1g?3HOc$@D<S>-cHJ&6#SoUH8UH>)y?$Q!)-`xZ{o?nPgpj<byE7
z^BL%wH^Usl%d~Jlcti1f_U13F_gm&;aG@}LOR|LN0gx{}$6hO><9jP7%VL1XawQc`
zz|e;Ug^e$z-dAA%R<tb5^MjZNiMb#%XiE3^a?3c<1Iin9jGd{LF~+zyMWi-ZK;n7~
zG2toIKb`6;qybo_)_~xL1(*Z?trP;F-TtvvBGjVC`mS&*0V1%R>8QHTr@N!jiAouP
zx_IWoVogmGD8v+k{fYuVh1drur5DU$%BXLD;`5P|wXoo%O_Y<a!yRef(=}4xtDH0g
zm=FpC-VpYVaW(BcDpkzQ#8gg7LYx;gg2$Yp+k{^qm+3fZpF~{a1E)(1@O`--tctq+
zPRkw&<(^FC4$(XT+%q<LA&E9vOfA{f0%!(9;fX}QPO!5Ns(Jn6ib@BreZwVoseY>)
z#HS@EzeJ?<9(pB|i_0t_m%}VqW>!)+l2&$Wl$iv0m8bTJY^x|3Wp%Ci<eB+j+XKIA
zVv~T_$$gvMqc`6S(QPt1{XFF)k_WC{ags_z3174#xs%YQA!Z^KTO3^j^W~ivQZtqq
zHV?trf#L_u!PXy4KWrL)ir9CelfDnOl#7xYFhavshepWlT3B3hAmwzB+Y(`XH(0eb
zK^)8ybu|dxLjLx{tG*J4V!uz1fjW7(m02dd0|bwk0e06V@pUWAyqOmMfzB1HYpqt1
zuXXRwi8KKdzy^Ahwr9<MX34GMzSIzt7KGp&#z~K6b5rUf4k8w|sG@hszS#=|lWg4C
zn&RfJUa{TU)wI&d2S}#sw?jSaylu1=p>4_-ExR0BLuch$!2%zN-Ps<`Hc}nnUhlQ1
zay>e3<EZ_|=Z%WPY{@R|4Gv#Kt9ef^q~`~0nXLHd7tB(9A+p*VhJ-+$N*?YDAudJO
zG76l46$ht|y5L1v|G8Moz{abc?bhub%3Hpv5#IXK9-|XUX-~3XjwFI><6l9R49^#A
zYpB~p*~~C+w9%#gtaVJz58by&7DyYB>5AKRLINAn<EHgh{S3(O;~#fB;YLEw{ByJu
zdfUN4QSeUwx$i;344d8@p3`;Gg*7oqvLS)3G#$@{-q`kvfUEaa!FI^pOTEKy7~7j~
z7+b~|JZ?Y8q8p$nj<1%r9m~~Xzgv4l*+$ED*r}Ptw+8Q&{m2F{7nYjBv)+3j4HljU
zz{<dtcrP&B8*+1MTe9$EweCA_y+8IgWd~#{D+SzNoHhNs-a8scdf*PN%6KG>j(ueA
zPzEnYs}#g$6|5{|Xbl3e&Q?<NYpcpm4GZe#n2yg!Uh@+uF9Kv78>Dh-swE#PXj+E4
zNB|Jc=XH{0s!-7b3<*0@NjM&WN+~-+_&An&tx?l)O=7yL!Z^qQ+k6g=A(aQE*opEK
z{<*y^KOOt>=GvZ&?wU~W0gyG3c$Ld#RxDO$$h&#AP-69N5s2m&hofzBG+&N;1}!PG
z>{Ftfk`b8VIx%W4UE!4C^FZe5{8e{SR>c^1a>0p>$H^htozOUXV|6MAWN^yIXfz>t
zD5*@3_C?omUFVP^ja{eqRW~`UDXbTHO44JGo@hZdkReULV-s#^YZKQqjz}HW@~w(g
zih-uR_X5Q6Qe&5ivMKuQNt$q(TZ4$)AzI)KibFXi5zqKIMvl|Fb?0AbWQ!ZB7GP2q
z?4I+1&bPlxe7t9=*l7RHcAcp=?K<7He3xgCS1oS}Biki_U;=JGOLN8&dC{wMiYG=R
z)#Izlaa7tDZMiW)eYv#^uusXD*J;yFd++AeZh4R(`d@)5_;w+8F5wg+B|B}-ZY}Gx
zrPnY0V$=pxyzn%67vG)#V5J`wT3<`DzGLHlWfQW5aoA!R7KiSXc=yx&jp%p~&HuBu
z^PjyL%pIBD=0<%pm>c37O6vG$ufMqu*URuV8|l+e3s|<}x=$c|8Xmp=t&}ppv47+g
zPw#m;v$g{*$p<>Y+r02TvznRCP|g?~z6+xDx=8rBr5^++wxeeVA5VCs(}l(bgjk2`
zwU;M+$$!>9^YkH%E5@eCwNRigZam;wYA&qKB=GR0VgbY2GgeKl4GRf2>-Wnm$sQHL
z-ls2(r_>~KRz3V(3_M5Ohf)$&dN)!{&<JIgvWL+Ihpa<^XP>M(lP>JJprnzGfKYHj
zkEfjS#0ZGuc_$?QbZI}}SV6W1GhQVFW}Zt}-mXoiE4{^m2Rbf&YHqJ#SDw%4%$TVt
z@%A1;;wAZ`3DLqM69+W38%csLb#>jv<{QuQ=mK5~Gr!%?jXjsPq$;}Eis5^i4+WX-
zIfwB`8qLtIO)mxSxlhQtxW7W**5jE3p*=3C6q{2Ic4g9!)VaBP;rCmu&<|*6e4AS+
zuGLBp5PX;i<1wH`e9_1ih#uGLjCbAoFREw>yPI^oOn9zaSI@iH3v8j4O>Nbp7;A3+
z9N<7_@9cW#mfjwyf;tkm>T@-DV_V;J@79=LUZ@fWC14&aI$`TVoPXe{o7imSU&P<N
zqF3@v_#5t^`6Y1-NcUQqr>&g{mzzVu63b-?TwbSt)+~J?yKwmPzx~V$P-AmEea3@w
zRFrRC&i7!JIk1g4`3V)Dwx&DTbCZE*W5I^e;8c6jD?ADl-m-_UcO7c~_Z3%|*?UDx
zu4q5I?nk4E@$=j<nUmt#6sK0$$%x(U3CJA^e~ju`CRxQi{ehWlyGTqGZF#0l2xV)!
z{j=@Xs4%ob=;AhI{jKbz#IZQc?6}>rxjbvg68%q1;H}}M?pys)lr60_(g9}S4!$ie
zoyYCFB#XbGVzKDz3vU!)bxksgVu$Y;SeF@kq+?nB>8%g|+x<#{9<O&+?;pSNuD?~2
zb8mVd{V-d5UxX-@SA_!9^BK)A626m7?rfQU+P?sdF+6@gdUc^K)}|uSa<-#sb1s?7
zo7VV@?liskecF6iL|fNg<DpnA90`ftUcj_tB6i86Y)FXipLaU}ETn3xij=@_Oke%5
zh^K+igzshKe?IEbzZn1?{&Jzi3k45aqmnyQuy^g31jNJ`+vzKr7B=!#um2)}2z2}l
z&k0lTyTn#EaG6N=sLxlzST?oeIw7~S+q^(9&#=$MXgW{~g;S4mEdMFWV)(d6O7KI>
zzmO0A%k3o7pSC0I+6}~y39H)GzPwzA$zD%MK;vKe_R}7UKi9}=`SC+ZZ8-tm;2BK&
zX#cZaOV6NHXPgRSTl1=i;ns{Hdf!Y|pcM@PNOtdds<LQ=k(@G=i$(HD*kaqrh$p~N
z_rHo*^JZlM$@MXBkFt2IMVu@#RwaQ}giEWuqFMH?gfyV#Xu|Fmqf((gJK$Jn0R>~`
zTetns%n5$a@zVd~r{Hy)BwK9ViX){6X?`(hrMEE&zF{vo_%~N~SR{b0(!?V@4bXoD
z*9bI)Mc_@hMs{AR%t5c*W{(m5F`;a6RuWZ8G2@?_ZnJY~C@lDh;qA5EtSqACg(S^u
zsj$dQ8q~y+9F7Y-ewvA@WBFyuW|sy-<?7h!>8|t9X+}ex%<unIoG<2=bX#=ZGJdgT
zAWZLphBhjYfa*)~#XJmVUZKF_MdteQB|NH)v{L<8DG~ZG^&WX-Hl*AdisvyZEZN$T
zEbZiABdT`^t!Yb$Y1jR8wfcgP8Yu8@#^<w4$N{^%LRIk!ODLq|KvVUX10=5{Tw>P;
z<01%;9LU*^_6_hLL+MHZ$p4sDtoY>jKXK~!x@~L6bsxS$1pZ?QYyX707B@?ZMaDP<
z%G(HCuGP5FC{o=5o9a}E?XM)~KG{Ax3TG3Dz>NG8q6w13!{_uVO$f)ZGf!&UNPuQ7
zWSdkh1Gw{*OCb=@pBV4}XttAmz^a+A)9wEf7I1+3=j7)XEo8cO<ygMFF|(Jsrkly`
zWUF_bAo|TzDi|lEjV3TIT>X7PmkD9E6*=|sRAuUS?h_7OwKvWX8Qa_oW!*KuR%Z88
z^+_MGh5Tscl52y;E+7Z&DNCJKoQ7tYpS`#8(tWBs2Q)v2ZzkTAS}dz<Owzn^v5;tc
z<iIZb3}xWz#fnS&?Bu_J&GpyH!hP(^&z<{AdZ1jEoQ>VaPB+~6>YN$PLAdR|pRbot
zADO!dE4Ix)--pSG<2?@`84t@$^53Su-kgsnWn^pJW6ZkRPGwfNd8F7cLo%fmPJW16
z%vx=PLp*6~36F(DSo+J1a_bi_r#WjLeDPZXL0j?vQ3DbmkNi=KXr~~r2m2YqlT;dL
z_b406DytVabfi>Nm?-I^n<vE^Y4fce5mEqXQt9}_NmjhXgePsI{PZIB8Ven+VYx1D
zhD5RLH!GU!bDc58G-*2XQ}(2nch4n7YS@F76lycE$%f(=awL&@kp(mhfb35Fc}{OA
z$f*6h6jZ(*Ew;qXBdLvC+2$f~h;&nl(G|$cK8=1<)YejU@vSikUl6tYkv|)Gby7ZX
z|4+qmT7K6LKPg#wuQIZ46Es%mC@wSnIL6Yys_7Jn=F2z?Bl$KEfD)%|O1`?a|M#8b
z;M!TC^M`}wj@cSSQ%Rk3Cv&iZ$jFc<7|wFX6kQ)@E4N5yLoud-4#5L6W2iY8a+Nzb
zrrF^06Sik($2?cpNE90+^Y7NaS+#8U(PULms=KkP<|%-zbsZjoEOk=xE&@Bdycw-&
z<JFn2(d)aU3!^6Xc{8~4k0GP%oL{`YddJ+A*jW86g&VfHgovzUvxj_;kedZt^MY!r
zd0-m_8L|&FdLAV7=gV7R$Tv-;5I!6CruHzNjbl<FfPF5@TW?#j$58=*`5<r;6X+wf
zI<+6~K0<w#;v#jXRg6xWIWMK=L&r>4mEM2v3`%Uu)dYC8#3-ILc>24Y8c^p<Z$8Hs
zRj07svt%uqTg2NE2sf{@O6$($5MNIJtlsDt_?vch+S&=@$(eQ%i)8FZ3Yf{1EZ>7v
zkNGi!k`aR=?3p4i!n4GvIChp(9L#sU@ZEt9+w?kS%G32l+Fr^=-h0vDu;_DZ^8$wb
zJs&@l%T!EmL&qY`%YNAxpxl4ZW5i0T;fW?1OX{hs-oa^m5&ha0E^&42MXJ8B4Tg_o
zq};w)4|qT`R0u6S=Ildp^u?cp=X}@3Nt<_m4H_Lr8iPW7+nH{C2M5o`XS}u@)R%vU
zWt)byPwpQPI1~NAWV_?J$4x>6-si^FfxJnfT&$Nsh$?ycm~TLm-E4zS0>ccx&TC9>
zTYa~6a9sYb7=QTbZj<&KFj_*1bM1J-rkbVi*jA<gmEax~U6F|Ft(?X!mN>S8zr<*+
ziBHQbM*terDWv-;Q{%5D9qv@E*fY9QJp&Sfd*gsPYq$ES#olXV7iJlEcDU9K-#HiW
zq86bCKLRG{We%vP`hP<#u#S$$R$SZ1F}6UKnMXRoPjL3}o7S~Zk|b&7pDkWZ%`4!A
zuXD1BUWQF<liN3fwVboiq4#`Z=@DAS)O^y&6c3Nt6Bs6e^J)&miOTx=CSDewp3^#(
z1P3i>JQjL^C+s-xu9p-F`~4-M8wfyN^`s=R^nh{f;>4R>;hVE1gMXsIGapFWQ}*-P
z4IZ_R-d^ZBZtER(q_ORTyhwn0R$Q#>BK3CgPjAU;qQEIHUY=GJYMS0hiOllvuln5n
zX?O9*`}gwT`3leYd~ibG`Tdzi<W*FKuqvdeu#B<F9dsvqR~)-J?4bYb>lN2ywWoGy
zm}@^0E_S9^&%Ky<c};!42T~;#htNT>EUt&u!m1(Ztd#mXq?AR&04E|F!|3?l?6NEf
z#If0OVj@BVtNMs5aPaz55ePf!TbNs~RxXx*{a@N?&A%uq{H9bb{1TqvM6i*(;!sg@
zaGA_EY)DbIh^N?C?`KNF_rB7v!S^38O==o;FyM7cQma}RU?T&x47j*eSh&5EmVc|g
z454U_eK{C5Fzg%p5Mu>kKRkqDomU{fZ1=;znMLewGe=C`87~XD^yu@ol`fNg^s;6B
zJ)3f;-l<7B<clJe==O-BP&UJn6|?hIAWQ0=CV?d-KevcPUX3Ar@>9<Zya;QkC<~TH
zlWPu=cS;31VcM?eL{?hkvpGVXY|7FuADO7qFq3R@ARMRgPL)yBpNCpOSkG&d3)b+o
zHjP_D9=xVV6Ye~KO{~<E(s--GXR}Fg&-q@nXyepd)660dQ6lt(d3&x+Q>z>NNS8Kf
zWV^m{l;%7QtZcHDq@f;?H1ue>6gc{Oh1@EKSt`aFpCO0g7_#`};>XfCv6UX$0jl-+
z<ktd=@riFD8>Q~wzs>=%_KYuVnJA9JGMvwT6%YG%r`2YGhz!WHBGQ56yBL`L&T=&g
z5~=E8%Vu5%wH^kZ107F_;aF5;N<frHrljd>0mF;mco&z6<2kV*S1btb6K;qVyhlnz
z^p3R6xi8n0pY=^!|G@B5h4l;h5gI=O$)WlDjU#oIO)tnLQK-*aF)_&bBJOPSiPB;l
zAxcqp={jK|la5df%IcG<j?+Z4$V{?ll&*J-VOty7MdF{G%(f1fD)FntO8?3&lGJ$&
z2~gn6e?xiAn_#otb_{WtpxG}_{g&QHLbe^k*@seO(BVNz#r)XyEIo1c#u{47-=OIK
zVB!UdT~><|)u)YR`+`ytDUsv+?^}iv&yMAGLC|qKgSL@Xrhk_5$sf86YIC3Zv(}T7
z)sSMl&(b_UUAw#CKI)aIc%}9;46i0&ePsyAH6{QMpAxs?EEB-JT=$8?M$`mqUGJ@w
z|6$~z<7zsW_n#HCK+wGfKjCJ!$12QD#nCI}v@!#m3QNE7D{tVE0>`|4_)NQiJVD1~
zxPT}@`?~n%0!}ruIgZ&<y>hl@qutn0`)7uIRKp7enkzrVO7+^``LnjAZeD#Q5w6GU
z>$NjBF?kjD3OHjC7`)3Iv5JxyM9oB;4jnYktHEE;n*S*V4?k+X_0Qq!7P!lKWs{%$
z($c>R$@5O!>T`L@%(Zn(PW8ZwBl}U9Jm;&EN%C5rrT6G6rkO~*cN~OUMo;ad6<*GM
zptSP<+1&<F5ou+2J9@J02<eP9oDYq!z1hyPH>Bhf5viL4u9wmmGvhD9H*S%o7M1Rq
z1U{`4i|*Cuai7N=hZ>ZXfscE6#RYhYDLKAh{A|qk5r<xcm=cmKlS``FaxW3gKFtJ?
zo=N3xEAChC9`%p5%Gs>#%`G6f)O{hS@5{7u9J?au8fa|zkmXV3a8je;PSw^2)?eoD
z&5ufiF{LwYZVGacXYtf-M^M**YKu=fjQgyKO8S(i{S(?o+<uT_f0ei0v^)6*awDz&
zFq*6r$Mp58ctmuU$K;=s_7LG%B2}7Ed<J~FSxKz3y-tXAV_xrZWBz^VS96tz>I%k|
zs|EVCS1m&#cMcEqH=Juh1ii<aF2vd}ZWWCA1y55qAR>i~9JyVd93wkv<u_Zzc)weZ
zmcQdGu1m|5R6SO|m*v#{p5JBQd#*Em+6Hnw0bA*zMqNQAzm6-!dmHe;?`nrs9r#Cm
zW+%|1iPPv;eVtwt_l&Vo(34t4<4b9UEil&$(YuV_22=LqBZ>HCv44f*!0W;FmECJn
z=Z)V~j8KupzFZ|f!8i0UosP8zjQDfexbZg$H4FkkUcPuD$X@U?=gt#P|Jm(^=&NiI
z`RlH0)rtXd@hlEJPt)hmpkvD00%{7Y@vtI+K9EDqdRpJe4|Fbl-DPopan((kI&Vqv
z9al~*Cit$b=?2QK7YBL<y0OqRn8z;_k9W2=YcF}7D`72UPk0vyWqWQO@r`73m-i6o
z2;t)e+A6&4d<Ec2PxRz6l7WRk-6CF9q!%HY^jXdm_u&zP$IkGd-GA%Ue?HG!G9<_J
z@KJEB)=nhpn}9$=9;Q`ocnp$(;h%BO`?7d>_vmX#XohSwS2Of*S}1P=6QVl16FLR^
zE*IFuS!SNhfLb)UYPu$0RH<bH4>?MkI!9@4DXCbYbW%Dn06jp$zZ*xXE8evHqR@QH
zk3-B6m=8}=gZB>~IX{-rbvjr*Z+Uw6^5PG;ktIPb*IHOtfrpe+d>%SlVZ%v}l@TY%
zbB;p6%+&5L;vb!>se1=Hz3FLCcH>6g&Tu={ybhe^DJ~9s7eqlKR!FF!JP6t@|CRJ8
z{eFL}Yf@6Rw^P~MiR<xF!LYMkWrMssOTra=`5eK78>`cxVrAKR$j1(aKWOS&i=&mw
zOdH60(rOcVVuMP0*}3iIs3JoE_8eUHVo`|7{qoP}RkzCppDn)Ls9M_XZzmDUOf#}E
zF~%e%BA1Rd$;4PiDD4bqN$^UXx&!Oa!7i0=Eju`CP1Fs=(e7~~roYgPpU=@%0^qU4
zg%r)A-QIhFu(}r&s~wc`*;JPDJ`WU}>n*C=!TP<H?S<CQlVA31Y5qb)V0sP_cD>f3
zoKY^X=>mer>^uDLdq*Efg&ydfor_QY&Q{6Rjv22eanpZ|KY1t2dHi;|QlG*|MKm9|
zce<kj0zNmwO+ZurM2*1bj_+a@ijUaYo$tr`f2PJBQ?jBhzUDUiOq(?iyQuGVS{O#<
z0uexkxxcW0s5cTTby7$w%+ZQ<w*7?voc*3k++-lRJ&|*6I=XLoD*QkPF_ml76!vh9
zH^S_Fk=7eQAK5g!!LLb9JkS|-J@4(f-T4Jw0=-F%pC(@I&EwF>j`6!)df~;AdT{If
zmlmJ=f3}_ff3Q)t1tmPAEI8-yRm!2z2ZELyTb8Me_vxqSna=btRJHt}vJVZ1G2JmH
zlzY@Bz=2NCZD>Js!>b)N<j$hX%!`C~!JG$Fw^<8a;~z?^Vr9!obD60;OH}W&{1zRV
z+j^<jv2hZYoAks8nCGsE|MtHC$M3pd01z<lrb`<LXlgG>tAQ-*ogy@<_o300Dogoe
zHa+IgwFy((0wvxzb?9#?1DTA-v^ub@FXXoP@<<?i10mx)*Y~a@5Rtbi*_*@ubI71O
zs|CXL(wR+0xx>c#5?SzJFAuk#6u(QqUB)u-st>o)<5nm5j%2;l3Na|a#GdJXqlx+B
zeDs1c+^0LgyhfoS?ZZ`A#rEw@2WYkyDP)dAK{7_R#LG$3@B~5KHkGYQmbD&%T5!&M
zCfa|t!`Nv{VAh2;KF~q)=ZHj18E!nQGmh9_u_~haS80u~M$OR<K1b@KQ-P-ObG?AP
z&OKuobkJDp;JM$kg5L_#*liuvj{V!uyf_9*s^EBiBTmRt=A^OQ7M8LsD3zxC9s$jP
zwm@V;w4>97bH%|Zyb^3_G9#($k#kIM+-p{Y9<27T9pc%;5}BIR#(ue^h`*4ce$X0k
zS252eo%;xc=?RIh>7jzZi;QmEnMkS<HAF>;dEU<7-(oQ2hA&sZwjB2tTqkE~`J`tL
z(g~lDkfTNAsHBctHQ_y$DFfa}M9)%PyhZ0uokgcA`paKqK`+aXKHb{EzUw6HzPfrN
z&E2Ihx<)7*<#1QBC|TI@6y6XpCTJBB%hD@?p!?uCK*#e#+?m#Rb~Of~?}Qt_68nbM
zaPa=8bZIr`TCfH&vqyd;xy<`=!G`$lj^XM3Mdmg9v$UuHbg$m__sgw#$BX`lapvzd
z6ar%O+>bk&mY&7J7EQeGkbY&GYu^Nz%zB;okUFXH?4Sll@Rl6n#=buUODnLt2P?{a
z<oED+5_yoZrIj9As*4^_JquOf#m;qKo)!N;N-_R#wi9F31vNE4mRP90KPQ7M13&e$
zeH)-?k${xDk*bwgZha(hbXI)3mYTNZjKQbmK|)R}UYu|(x_oC9UAW?UG%ZW&1|Tc2
z@1tX5`>h=oh%fvDkh@UsxtLIaDc%aH&`#zlz>OZ+n?l-;mu?@2n7M_zhgOSXP6c<X
z-=OUL7w(>Ki+<6+w+zOmK=kBTodL*_4;0Q!4tvXZJST;`TTz3SmsBb*qBJf~$`5qD
z(><0i3e2+1;{zg%D#_*)bTrV*ix&Y}#Z%tKB#POVUM0NKrsStI$QkeANvv`6oj^NR
z8+0#p4&xn~TS6d2l_+Z(wGnB6-E-Qi-H(3e#=D?Sw+diO4y0<$^qXz0X$NHCxq}>*
zw2b>=YP#hzb%>C;wK(h$A-#s<Ta5NZM?OkTF-=*EFFS79n|`3vCc{o_2_PWe8e=|7
zQ`qk90Q52H*pPB(8h2*#c!kyOX$$WiL7T!YtF1feoLBCr6YJnLvleDz=2%trGDcOR
z!swfdPh}81ueE6GT`orBu?@Aqo2c?(d4gqU))?DKb3WJp@himxzn_SCIQgoNqy?2T
zPN_YTx?rTvUan=|vnjY^i$7<6tQ-j%MxUeG0;e9TB{~zHzDq<`|Dmw9eM3~WE4pio
zXx)F0*mQI%+>Tczz%g@1qXyXfnXPt?U88<bP?ztmk{h{pCBk%7lDl7#@L5QVPZ@i-
z{mEDNxqX`pEy4F4_Csqq^s}oZDFQE9Mlw+XmhCxYQhn1m9tv-Gqu4KY?m0GxR&|1v
z-J$oLEPHT-VFSyi^%I5m8!Kbzw5d${XjVt(^25XI$yO9jI>SpFyf!QV{FW{v{>5~4
zee#V?x7Vee2c9G9MTRGASAo2)mt;F`vc0_`cjNnHGy&;A=Ye0<-5=;r?%0m5v-jIS
ztdK?C^<`$4^v0L~`Y_&Jqm||+Cu1!^BGMvqsrTM{YWTy3F-el$Jw}D@1AjzF+JjD@
z*~EJO@$TDf7^WkSWnMrS1;o5=Iln5%UGUo5u7ms>NB*b13pZDXG|+32K)?TMi!;2f
z?>|Hs{g`){XEFDWhFE$S6k;dqK%mtZg}R`;Y{@a+Ns+M=c=$-;`+Mt2>(PA~$s<{X
z#7YQ<J_;Vak37(MTU_)5+S%s_wtjgmyuQwLb%+Ood%o$YXL(0XL@G&I>{!q#A8ObM
za|+~<Qh>Prv);AC#N-Yg<LR@Y4#q39%?jIypUdsW1JCcX6Zs@(>aq%#MU9|XRlO_Z
z&JNoz%NLrjtwkgKT2*FYO-q*f?^6?&xnt2XU_1##(<Qh{?4>X;!3G+AL%6Zro{wIu
zYMnP+HDD2!5d~XoUYM7R>3xYLnoaE;y8_2N3a{Rxm6fp+$yar?{PV1CNv`4HQI~Ud
zcL%-wzSFo*1lMW>`FYEizw$c1ZM4SM<g!uu?W)IfZdvUII`2<MrIlBBu_vw(2fy7}
z0frGL*nm85_@BlD<lSr)#-F=ImbZTf*~t$~^;pT-n|lW8(sd8?N=-FsV~`rXeGJY_
zmTx!3PS=w;jlPf&r|?!%#~F>AC>LG(%3~LJHLqngvp20Fpx?oW937UEOMg|;ln?sU
zgcWk!I)NHNtFZl;!zUsQfm6;s{QG=ROI>^e7;1qn!cP7~d-AK_P&Lxe?f1HHuqO#^
z@##mbub1{X{7xm|ZmFe3+Sk=+zEdmgWX2%35s6624$1-i@eO}0@0CE~4!56-XA5MC
z06vHUDenb)ACCdQP&R##oBK$A7!r?LT~<Cxgm0zzT|K?e`}D6B39LzMek~VA93&bP
zZ1d=OvYp_dN0-D?6iVd7>6z!Pm^&drli26jqCQ!$7c#Wru_agv0d51>QY1HC*<`!5
z_RHH(Cpi^4ElhXHf<;ie%aqw2`c90dv(1L&4@R<@Job$37qGOIp{zs5wD_?=6qtkG
z=c3+4NtCs>mKELppu)1+7)4&CA5bW!)nzt8LKeR-TEM{{Jt{UtBI^+FT+%w}G1ykY
zAiXSB7NF%_et{nO=7ApvQ-)uD{BuV}2PWie+I~?}kSIq`vbadPHPa_?tX*YKGRn-~
zr}D`+TtSe$873a%IS3ggk5CsqfY!UrY1>N1_c^^&dy)Cpz2Byp5Pi1>_RVdcm<mrg
zvUU%2%<b{_R-EveE{t(?UA7&U$f@4f>Z8@~`N-Kc3rbbXz+i~^+niG;LAJ1yM74L_
z3|i~a{#G~A9|noTz@P*CP$njExpVjGF*fZ<@tMkzD;ewzg4^Yc`jM&lK8EHD6Z^bP
zhyKf}`)9MqaxZ2;`aY+qoits)!8SYEh6mxLRaHwU*&_2&P1F2s;o<LzWT#|N%MA8&
zxt&+yYg!m*z-OaLnos0s;9e1KAuP|bQ<s$uc|lzlS!+WhH1svmOJpW?dF&4I+(Q^D
zLUMKD=?>T*lAa%!GGur(5L!FiZmV5xV~>5GiZoRAAK$MUn(zaH5_j!lQemiUkf9Y3
z{W0e9#K|jswP3awLxwfs`hGhN>;Gc!csqO_H^pxA1aRyuNL8ElnWuxOgw!i-X}1cB
zgBIlW)ZTR<vFz_2ma&|cue`w;XZqEW+{hTcD#OwJ{Rz(rUyszp*FcG%a2ku|&&0#c
zlna~u`@)Pz=A*Ac!gN_82;T!BhcUYmKbHTqDnQ^%nm6VD07Xqr<I5-JS0L}dEln^M
zI;($~j?oEK9Oz6%ZgiFSRANs=qT1FEbdD=~5FsTT9Bn-C)F@0GnrAsZ-2+L3>sEG6
z@To(|YYSs_=V?jWlTVy+q33V_mVvAlsmW4%f0p$&rcU?4x+D~oUrtZ*$vj6vAu>I{
zhC^9W`>24#1$L2Ar5HTW`9lS)A-j6-!R*h)E#Ce}9%xZEx3l*|yu*B#;}K8b#}M(<
zwAt+x)ZbS?`&(j-H%<QnUS4)JCHK~&;v>tw38|5JaOx&%<sqiHd;xJvHQ`C}$Kh=f
zcZD?fQ*2x;6A(hV3k^@ZSt<t>5gkOUp@|@=ad(O<!Uln52toJAUch6ZYIR5X+$9LQ
zH)2m9ms$q}ZDp*e%uZLgC(UCGXsPx*iFxVtaJS=LP+7tlcSdWjv`Nr&8DXyWuSE3p
z>X(FVWw$^eo}$Ly<?JrtiBHw{PG%s)O6*(A#RA%hJda={E9t}RUfL~C=Nr(LY7xsM
z@VjR&F17{0V%DOo7X}6kXBQBR@VRM*<CtG4s~8*<-xxiyQb~=q!{Wb!CD1A<Mi}fp
zn^f^KqiC0+KfN#bWXr9=dQEqR*oPU%Pm9nbQfze=oTo&E-53GLn#ZOnfi~-$68An4
zv_F+0TV)*GpxDi7(B}tUqUP$gd!pREPxcE73#t!Is&C#Q|D_k?h&{`5U>ob|g&)(a
zY9H{;8~`^Dj`IvT7Vze85bHMtqmU%IFe5D#UJQ!1oD^1_7~wqGS178CT3H^t*RY>u
zbP3jN&0=kwSe&tNqCK5&Z7MV}rg3*|$_d2_^r|C?Y&k7EQjNSbDeBTMewEEd=Ac3w
zZTw?QG35}`tyMZV{+!bUByN`B?G@3(7mN_E_Qt_V<bw~$34a5+FPvKa?)Gn}A^cwq
z#eW0maiRD^JSL$40|~FG!7)cdEu`L$`$yP6vaX)-7r2!(3n|gP0>gU`0t5JLiLk0-
z48ZRd8tt1piutkZye$RsEWWsXlRH^vV~zi@!zVHwI6Banfrmv7HTv?71;ADV5}|Pt
zdm;b-^?rB5Z}r;t{&uI=x4#@S-lIwZp&U{NAecasK(0XEs1ZW^_e1em2F5{V?hWq?
z>(ACSQ)tQexheiM>#-3H<-PWD@1xj6g#<nd-%GP!HSeFERW-4{@7nwmVbpU1Vgmzi
zyLQyQ3*+0Am2e8Fqe7X~J|^v$AZao};>;zkb(`lZ-Z$TdW7c(ko|1VuU5MpAZvr}6
zSelkZT!^Q^YnQ0Cm9!jyg$f1)5Ds)GQ2J!&ZvH<8P=VvzEH_a3$^bZxE{z-tI@eol
zfXr0Mrpb6@UWLBe@#^&-CQZVk)Xgjz<m&k$ivCP39(N^|DKawE`#uf>5-O1cUVOhS
zb@N;kW7&6hASWm%??r%&?Gdzu$H8qzWJ6L@;>eb|I!pC(J>(uF<dVOTe!Wp<?}$$Y
zjiKcj*)3|~t>Icc{q7FkmtX!@>!X|{MA^081tDU8FOt)?n=0fi4iuk-HQg6kjpZMY
zwyVROnak{Z>T}m7@M`tqtj)q#JFPZ%-gR1cl|f^vO)*ZMCB{$u`_dLjsSEVtvnWxO
zS!8ByT&vhVkx!_N?%m1CgNk2qpVx(fb!{4Q>%*RRV;djP?|7Nu@fR29MY6;=T6rZN
z?iV&HufdROVqNiwe4p*Od7(XQJFj|q49c6o0?$PUJ+?Tz-wRJ6jFs;yRYC3o+lf{T
zbl{=1(QaoQ%*a;@m`a=!b)d5fH=mGoMhz5b9V&#orN;w9ih08%+QwpAZWIPdm95aS
zRn<)lU}#=R^;T$2N^}*i5>K)T|N6i2WWQ9s;~f$9G_rDIw95F0dE12H3Hii~s*icC
z4v2o$9rAK@*DsWS8A=u*zG%t9V4(_yWcAv^f=&(da!pH^#KiP{BeCt1RnO~l?RgF+
z@gnrS;xH2U-qaik;RQAUxL*wf=GE9Q(z!LFj$%vve)km{*!|NZvK-VoBbv-4^UuT0
zqiYaRA_&cL9LA#iM9#R&h^3)0rtS3tLS!XLBIgHRW`J=pbKn!bYlQtQwM6GPF;?vt
z?45iIN?9q3L9DdPPdd~0j5Q<xfzEc69U-_B;4u|m30-cv4qUiE^8UMEBQ>O|p+?;|
zp>HFDTvpU0BZtChUgMYdf##-YHfI=7AR$7PE!wq5N@CXW=Bgl|Wz<;l7H}5~zdy#e
zG1G_vET91yDHbhudBSp(vZ7#^`R5Y;7r)}$yIJ4ZK~?x{XlU)qO78^Wdgu7zHx-eU
z=W5+AD>O7k;yz89nQ}R3tJ}IBtk8y)FR!i*e+3(svDAS!(8kES)N@+_X&c%_y9jAc
zLI{PoGKv7cJQvh#9u@jQaG%IO{f+Dht`%bXMh5yZzCa=bust9Oi5^cw`Ql$;?!~}B
z8)^=nb$SK^I`R3=J;!fjaG6`YSA>-9YHZR=O0Fuhrdx=oIDNd_lApn^<(-vBd%sou
zc;K=76v>feVi`5wy}dB9)o(Yl<#?bI3Udd@^c8B9cNqy9<G(KF7ar(z5ULw3`Hb7|
z+}O1@EW|vv?A6!TH(iX)li90BD4)beRt0Y7)x#xnyT6E*mU7^5N5VkWKQ?*9QmLoH
zwXwQT8hJWf6t2u3%ILBw3gJ<&V=|s#zDbwf*wloLh|?ksmz^(VdUP0d1{?;Gz{xrw
z<oMpL=iPS&#`cGRW806zG!P*tddwcb*2a9fOvvG}24dT-n`q~P(=pOWlbFz(G_Md;
zJ}NTH8BJb(wjpc@1KCKWs1;r*9U#cduaMT+K4|6Ks^s^*$XEy#>2@!=(b0reQ)r)4
z#zn1B)nb;F3&Pg?>&{F@GYMOcC)xSm&k6e|jLTTaPt=HVg1N=|z<+ro-de3VYahIu
z%6~J8qbGXT=FPybExZ(x`5!Z3H0BQ8$B?Yf2sdowswQwABaFF^@6#=%R`%*+Sst0l
zFk6XLo`RYLMw$f_hk{@9Mv|Qf=cluBnkmFV?8wf0Cu(Q=^9H!&yQ8RlXJHN;fM-m5
z{CzMeaW_H98up_mbh~b|Of_qlFLimBO)ugusTd}X&s%A0uUOO1gXqOEK+}|)G}G0U
z1oQ*+wo;<p1vcmFdG{{ZHCQmWEJ^8^zebz<ueZ19wvjoi9xy#eNWEveb!!YEiOiO9
zUMO(~I(PA%T*3M~-j4lEh8`xFr9%kYU<HRm5p4EBVr&?DK{*<?Y}j%Td(V0JTJdi5
z9|3@B7fn>IXO8L%4mC1-5gE{Cy^BSl`4JZZunNnd!ozGsuzcdXSUR!F+Z%tKR`+#l
z%I%v&nS^$IKZF>BL#bBgaaxDOGc2>vVYK(a-%IwS1V4!|;a9+qj-JWNN`RTWBVLPP
z)PbgcXvtO*6w9PigqqxB5=tah(1qOLybaQEkH|bU0c~7E>$qDT%aTDWJ980m`vV>0
zx{r94*UL!KguO>n!Tq)K*?Z&S<ddHJ_qize*w#sjzn<Kuv^~sceoWu|68U9bp7`Ht
zG;%`vfAi>uXTT!3_O&iXC|vz$a}b&Bo+WjU%m9^77b*4$4H*9$hEj(>Z4`${6-7QE
zyR(U{;>2hIT8@WBvw)YCTbK?nr#)q%L`&DdUicz0`YTZ&z?EMu(#G2u5zh^$@cJ#!
zQJ{OL`g*{vZQf;Oh_SMBYB?@bV|XO!^-JlU7AKcuEQh)lw~BAnAe%NMH~+1%xLFSR
zK*#IzuC@)5)om5Y$}cx10gwMGw!(gNHuD<6;<nBeog+7AUY;O!f6wa7v4a@B&mPEb
zHr?WrRQ#5y7DSNVgqRHha-7i~*;$V%h3rkL5I!%Cn||<mqHkvHspK^*@z#P{dqFjg
zna-CCN?u2UNBf_})e75`=1n3pd4tmE+7%g{r(b2lSNtQR>8}fGz_m1!=;c1$XA6s*
z1-D|rLqcSTx6{;8@_2TtNqo+(kls;i2MBYDXpOJQys!>nk9{YiU!QOvH9l+QSOPDR
zm$Xk*VTG4oYX=x(@LQt5jw$RLqNQzDb)aJn462=>?PzCTW!i*yO;jSf{43d8gxv71
z@UhiXyQwTcOG~>mu}MF@n*Sfgpf`nRZCW<J%;*QyRpjEzfHY}7a+%79Kl=6y8DrX{
zRBZ0`@)8P<1dd)Dow(LIB>F?QK~w+hic3YB<_gwR;8R4`Be`=Tq22>8{Wcx#(Rc%v
zRJo{t`$>X(9bB;ETb~{73scHRi-oPE&eFo?qbXdJk7+Yirh?q@L(e>K?I`k^-Gm6c
z&Sx~q0FdxH?i-;Lg*2fG;SfRJy{UJNV+#JmZxu_u6|vNYNb)gyFQ~youQ;m?mnCr-
z8p5e&ahDZ@6<_3@K~0NR|3q27pcUb%PN_v?##dCG%UPJ=w6D(bn2AC*n`VybS;0eO
z`U^qU<JnU$hg79UZzn34*$fiCa<BewHkz;CXG<$+`!3H$!j6#g&Q#k6ck6kMusCeq
z%a4Ci2IkOQ35xCn2s8<d<LGuB>)&EBvuQ<@q&*+n!@)3Im{g$YdYD$L<@Jsx<JH}g
z)&0zUpBX(`3WruZE8(r+xjaJKkbfRDlo66L`7I>=IgRBs9wbDV5SNItu}GHJYH9Nc
z=J-{DIT&yz|K5oa%Wwa?6UKJFms6tK)c3y|S1m3-+fjzTUX;k}yF02%mV5k}0(w61
zPqf<-F5gs(R<LW%-SAH_>r6MY<3q~6amjlmvKg<?6Gm{lY_m#e3H$7No=dNgwmTTJ
zXt73W21X2rquF^MfsBJ{gMMt_{aqb9%7B_tS!v>)NpBu|eXF!fzhSBgQn5f3@n<s~
z)7aBv(3EUUF9i5eEOX(y+9AXc`Z>B<90)`odgt>^`tv8#nPq1Bjnr`JNCx_YAb3_V
z$kaYzYX;NJfs{6#@Zd->zE>l|0WSupU)m36WEs@mTXpo-!&ZVU&-bnJcvG`9ukfr(
zPO;>i!El&7<gB+RN_ML)(wSbw?hBYrP+a$e7%3VKbj~s8f1s++->eMim(PfT{+$4Z
zm+;1-l4`_s4v)>3=$+b+`FG%2SCidI@$LO+Xe0k6WEIta@oH2Z>>aAxOIOX9estAn
zO!80e;`VEbMz}1!@WPs!#z{SMM2+UmNkO~35wn)pEVsMFv%HI-_@&>1d5TO<7<D@?
zxt_maFXUA%+sBcu3fdw+A8tCXt@|!$CK{M!bi8$H$nmkOcJL*-{)cKcrlYyGlIZ#Z
za9=Os`6F6@X8r*##(-eIf?e96B+my{y)`1+w>w?Tom`Y(NPq;#dXR=LVb1JY;ydFQ
z<*}*pV?4Sokgrf<E)uWyg0Ho3n*LZd!B1ZF`0n3-tD9fv50QL!j_~>DYr*jSWq2;i
z*h08Duv2F9a(6HP`Lpr8eDCN9e}l4dT^M|aX#?ZsMrNI;uq6Bq#mGe1br^0)nbhvJ
zFmffSog$?e<s9hzZhV<FJ^ZKx+l~o3c1rc+o+*f!f651Lorz|X+SkVNg(M6z_vK%d
zf~;Tj$zb9%K_Rtb1VKWa;B!N{WJ~Y2X-i~}8hftyJxCtU)tim64-)BiA>p=7r)x7P
z3xlDwN6n@ymRZj5$dfSB$H+aekVe5;Y%kF##K^q8qxJ4N?)3Arch3<a0Q+F;)g%Em
z-`tuh1F*a${bF#T*B*P~+duqwPvXekmqj~Ly=h!az<_thK-xEOd-KoM7Wr*=`L5M!
zQhl|v#I*w$LP}WmF1I-~?(ctjWMqVvU9I^Xja&4F?^FdR&(K^iZh1IcV6fNF3c?J&
zC$POFk5F2>h|iOG*>4GV#Fd)<A4pbX<GXRQ3zrhQlVlDs4AlM!F-c}l#bYb;=d_T&
z!95qP7DJ5L*3^m>m#BZ9q3?k0MpEjPro@r$Q`uQ6&3q`ex1*8#87cl8zQf)g6_EhP
z>Y_s1psrSteW}56OwAGE+3}p~z4waOO!iQmcGn(GOu-ryPtN<a)kC^)r+8H}0JLPD
zHpE{LZGDd20MSfE{?Ytn?iEeoFko7YQyZUbih-464mZVs4II8;6v>1rL`oc{TVUED
zO9YUe_A+<F>+K5F-48TY_N6TI;Iy(w%6qmpCE>lV=>Dp-shVdi!#PXCb-LFuvSnI%
zCBdV53xtRJu~|SiO2j|A_Fa#7+pH{}%rq}cYuFjK1;+6f#T&3xlD@0W26%o7PZ}Q_
zI+nNXlnVsT&(sC_Dr%T@pm-s|MmNSMtYT5I3775lbu@*+qh%F_(9FF6m>%B-hzPTE
z&yFz=L9<#9zfAw+Leo(D>nHkmU2`V9YTdv6kDTPK26e;qY1BFYIQF7f*W<MSMqaIG
zKE>X!F{rZci&C^k_}xH`Ry!V#hnJc8XXnmt4&8^2#0L}|=v*7gsEW=oii#lzTDNQX
zr6SiY>Ag$hrTY2<9lN`+FR`kIy0DO#SbXiR8H^0U<Eb;R<hKqWLt1mP?ujHP%Z6ou
zaQyzF2iOVTVasN8cvtQLBOIV{2Rbn}&AXY;&NIM%XRIH5bma_hWp4gAdA0MF%#U*x
zk^?x*z=2ac)p!{2G6M$mp>`yWXX25{10C-{Nd(cje*~~+a-vj@NgyYk0G+#wZ;OW^
zQ~D)>O=FB#%m6X>G*`2KK~emXN(&4r?+S{avxk0B-Nvq@p3_}vl_<JUhUyMO=}sKB
z@jQu=f!x0*kXgQIdiZe`F*Y*08$^C1Nasi^GmYnv+IKJzLwp-}@x!;i1Cdvv(8$Ef
zuB5->Xw8Q|Yh73Y4Q`Vd0N%RA!%b|ATxoL`7`SH*Z_8ffw-TRirq?t;Z`?!H;laYq
zNkl`S7g!2}$I~|Au^UpAzjJjHpF^trudaZ5{E7_<V|z^fYdO!`OiSOJv<fHS75l~3
zo;Xtb;)B+B4sIV6dI$>h`M*C#+SPsZ{41}FKF|Eo6-_L{RK4{4$@R{W5nfENQyL<S
z^0)Qaz4M6&I)R`u*y$}}@uj&Hr_?P3BthyT1IyYfjfqJII{iP;FhQqL)cwIssb}Z!
zt|GWPzi?kamiv+9QS(fLje}5QAdW`*gdF3>Cs5%lSQ}cL#JjQ|LaIgO`%N9_EFES(
z27&^4@zZpVj*|nutuE1zY37xb;#Z1`o4}LJ6oJjNTf<G~O7jM?1(eB*Vu~CWl&!RK
z@(&8k?>-LwkMr|AMhB1$xm_GOX`eWLnGLajW7`o2I{A4AI%7qtQJ#z(7zIDwaP&!C
zxu|rAb@=c5cUETM36iQx5g?n9490+&;Ns3O-JD?SViE)!<%tWgh3KQeia%Buh|-0>
zw{2XrHGi6oNrK#&rwu;pHGM3XMpj>BTf1fuo-w74gyh}Jx1Lwx@p*N$oaic?_}|uS
z%a#YS9?Xejf~?T>=!BAn>r<ITJT)Wm1Ao9Sz9U?*<Ep~I)+KDRyD{8LDZRL!cTqGI
z6>}I7%yaopa~IavmK&mhMf2F+vCX}mx-iSC4?EykL*M8cYrg}Xv|1}jEUArHWK|L+
z%+Cr`7<>ocCUyuRq0jzFfP(5#`Tm;VC0B_5(kqSgaMc}Q{-s6cOg-9-S3Qe~w<Hja
zTU~Z+fS02Ojjieo1~VfEluyJ{rq=Yd4D4Y4y>}ooz@%9gZ&?XDHIzxR&x5{H^i1uh
z2#aGjRol_lUMCvA6cvhWA1<m&*h+*k4YmP}hZ&JMjuZrUsW;|)mU0jpoxC{a{h4@y
zx-F9>71pnp2>>&ea|L4W2FdIG-zX3ByL0y!9e0n0#1iRGzW<_=6Lz1C3j@E$%s=X{
z>>4Fu1oLbraA7E5FtmzT$0=IQ)~2CZ%c_P>;C$AHcLz@my2QuVr0|52+dm$GP(*he
z=Hdd~Z;|eMtM$nrKg{VbuACKa30bS%!siekkG=eCgj4zwr}e#62Vgzw&)$2*gvTq3
zwdS5ed@!m~YwPUi#J@%eO6v9xhwxLO&^UaGSiFc9g!=Eo0AY(r1cEuKZ#y)b0*xKJ
z<8>a9yxhsMJdf-0M_7C3a4QQj9p0Tm8vm^UUihx{vQW03I&|VKqJ5yZWi}a#`rA#s
zlg(&gB7@K^dq_&S7Y6d4>_y?&LjqIC3G&k@Y}1CD=wjcd+Bh8#gLQ<R`*5%_%hd$m
zR1CXSq@-To)r@wzv4GLto}|vt8wFA28^_H)4JjX1m3mB8b|<uo>=O_74#kMtWbnBE
z!gA++pvOZDWddSvEBoYEeu8(A-(a9>_0Uz<>M;h4<*Rkz$|o_f?(diOa+^a8{bP2v
zZ`=%Xq!2TXD5iZ-CRa%=41@}QF70qRmoA3vU}TG3m83zRDkZ*dB=@NCGCUu9T|Vkr
zdFn^a;ZS@*5&O)4n3uJ=QlhuL^NVwEFGdd(EDrFdHd-XYqJ56V6tJ>TR)2qbC|8K4
zAr5qOJvDCJrl3{gy?pCQ%tdMV&Nle984ww2quOX>&@yZvHf!yik5cZyZC0hSQyFvE
z97S!`cGI5=TcuifDRgC|j?f}=Y!7|xnoii<It8fXZZBg8JMO^WZC5>8Uu=Vh*lW{C
zV9iF${|zRL%fiyVR`RZrK$Gs_+0nQes${wTVfErbRWQY2G>y9>E9t#0ImHtgAI7j7
zP8v1=7T^+Io10f&VW5`Wy!?8ikG1v!c6&WBe!;D&u$nfp!`@fC{9(*<5IpPv(AuGy
z%YNdGMJ&;gUSzibnIe*UwLPz)QCD&U!G%2H+w4e>09DdI*e!^CAB3>~5Zb!$2htc0
zkQI#P8<M2Rvc}0#fyi<1>P@Yy83=otF8(%yVp>KAmk}Q%Y`e`a&S<c#-K`)6!$iyX
zuP7prb8ol##%-54(?1BE6&oYVPOg4Db>H)xcgX6oX5TkS&E@T((Waoy{U%omqOHoH
zxtr7&8*7sT5fXwRCP6EV+Q~?lgk5aqPU{)i?IYlErPw^=|8V!EVQHRe+jcrlrcIMf
z#%MN|X>7EqQEQC5!pvkbiCYsJ7f@*=(I6smS3sDzX=B`=iHQp?G>J-$0yPS_uryI5
zM3E{A3JOtN;(~~Zih_PgXWnJ{P2Zp2ar8TngTFlY^W58cUiW!jcS|CPhN*CR^BL2E
zT_Ni%wqGk)H6skTyIRpkTrPRQcU}=XVKPWg4;x*qFSZm40To=|ZZQ)mDIeY-7nc$0
z52&qagnojfwAKLtNSlc?-EROymNl+l#>kR;BeJ?sqWF*FDmm?!+kR77<^PR$cTJ?N
zW*?ng^;~c_4^WgZd#4EoFrgm=lB-*H=b!szs)dpe)t-d*bh@~7xU>%brP_b2rY^uk
ziy*dpZ4zahsIta+IN~a=iALJ}Xuau6;l&AFiRIji+)^uJ)I44eV<u`?LyZYB-M0Xr
z#&uMcyy5uqVYU`S$!F_|%mXqgjT8JLONxL0AW_jYhSi>U+l<1c2ZO_$NJa7Tk(4OQ
ziegT}sOd}f1fBa{)wW6Kg&AYFkU}FWAh$#?Dp;~AC_yQ?Bu%A;WKgU0<EiaYQ)?-3
z`1oMI+Nb1L$s)>(L`qz3=tZ>ir&d#c&?j6g)mR4}HzX>6{(CLSw8u21T*}{{4?-)C
zO|zd)3V^Wg@?(_pkGD<CH1PB<yj)87l7mmvveOv!6$Y~L;g2DS^coEh9!GZ)gx-Y*
z+C3QJyAwR9pf5XaSp?Q?j!2&;G^yLNj><FTn<!IU4z&x(zcJ0Ue0dfQ;f*zb%1@Ce
zJ6^yIQ2Db}LOtK{lRK+V#mu-WvNLL$Y}s>_X8A&a{<0YqN0^AUYnBs+Sz+CFGDKZD
zKej4qWs-(Ivsr=+4#T~tV}1q|-LjkF-}B~YYE<!WWcLJZiW-n!Gjk*Vav$)M5KZF-
z{CwI6&B4ch3^+R-S30KRYP^FIA%ANES|wTgR8c**K3!Gtg0@Z0@tmLI!jRyM9ln(T
z>x|E?<5#-#6ltVsQ)l0~c#$|>PM^tKY|g^$nqEMr{rmB>Cu)?1@<M~luu1W+gpHY+
z@TCF|HSS>9mVF=wu2pt3H`hHZ1BjStR>GMrr`Tj<qW(;%vOpm~ROm|I5XKC_yi}*H
zL9eEyG_JE)kbP^^Ewzg}Ok>K|Hbt>?Rbtb9<-VypidLWQq&x9feO&IpZHR>h%{r%8
z<!NOPRqZ_Xu$4bm)t5Mwk+uZCMmkiQpI+-9aK;cUA5*-0as`KT+%_Rs`UcjOj*Q=&
zzj-8cnp<o!Vy;MZEY++?rx!P5Yg<@1T7_QUEV(eF*>HNo{(J_jHIvLHSO(Tb+-V46
zUU{vO3nH&<o7{WGtS`50$6Q|94C}1|$%LEzS&T~4Z4>u%#YtcOm!JLvWcW(h0SPEG
zDM9XT{qps-!Yb46PuV&rv)m@ppfY;8P1kbXDg|d+2k$zuLW$#8=E3K$w*EfQ;j0*i
zzugR$K6%PBAj)*s+{eq;{|0f<AUVA0V;6R{L1JTP{WjHkuYIsjnoNZNMJFqYZr?ow
z%WHeyK45g{NW+<x=T6ZdyY1?^E*;`K6EX<0>fk0eKS7Ad4rH0@Ye5;5xygLjlXH{Z
zxAoG!gFe!~EqRUF&02}ZTa5Kx+<>&vxl`f^_`dj8DzE%wo6!C#m8ExAS3prd%7=zw
zc1M<bBG%5fqI9>V{<L-=RxgcvXFrrv9oSZ0IRgw_6q0v3(TzuEOB>`}Y?o(KwHN26
z?%>6Q;)(kFFiTELEh2NdI&>=#yGF5xD+X(hN6<BI?L7Nj;2^OxNb<A2NBzeaZ0DM`
zoNs4om)(wvqiZG{x>Dysw!T%xubwJHF0VB7D9u_O+T!HH)kZgtPXufQ(j4BE+>Qap
zJql#RVf%1Y3ijwfuOK*j)ceet>_;{$cYeDbWq$VgVc~#*U^bI+AgiEaKIGmkyCG@X
zC+s3D0m^|KCoC{Lqlh8Fp<-wGlmq0$f%XftdyuDVTcZ7|CYI13pJ>WzQ&0Lbmk_V&
z$a9F7q|8szT^BDStg@c=v$yEhV#mGT^2jgJaz0nly&hB2kH1VDXJs%=d1qriqD}Y9
z>Gk>kL4%BovgYnXOLB9bLpJhQzQarPwn>SW`1X@4<*i}sfokr>tib5Iv%4$WEqA?`
zT=nv<W2hA)=X(8RD>L{MAESph)Mwk|y5`zyBl?Tgt<R*#Jk&f>;Y}9gQWClX=t9m%
z;}txQrdQpj%gd9IrE18LaZ#R*ns8`QR+e<V=HxgV2^ua*<-5O3^>eA4(L^N1Dh5Z&
zLmqiG#WjZ%N%@xbKQ6V_(rW?m%SWAG(Vs?V)MLINSPZ+?R|y#^d|OxRGVyHj)!Rfw
z$sxC!hi-(eu4779Pa+pv=N@zKDY6!$8BEI;G60V8iaZ$E<U8Kpw&gjaz!--%LQVeI
zX3^!_Ab!leZOAx&QAm5-=nT-=D>>N~+D-Oog!;ysv#8Q1PQkmae7_p^QP*s8=HopI
zC#NH47bhuXtL%hEeF{9TT54-CNa~IU8)yfr*8|QZA{Vn8mzs)j1-W^uDQ8vL@F1bz
zGvVNzaTKma7|a&ebBB0%<WxclM8wsfkKk9GXjxXh4fB<lU*u^g_$Z~-#Wy={JxW*~
zF9V4GwDNC)MLVswrT{>HWQLQ_HElVr)QD7HM(oG;>1m0Bv}O9{?`#O__TFSej?(Hu
z(oJHMQq_F`!8xb!<wok$76Um(o%flB8&uO^+mb_dw|v%yDpE*^v1lPPU4y7>C2fgH
zJ`OWR3oaeiw7mXzv4yv;)zLd+#@I2p_RLpvj`)dn!a?=ElA;-51BRXgW}-nlRr<-X
zJUO%PJkf7qK{D+0MC*eE<j=OP(N>_8%!Kx`$J~W=Z1mc=r`K9;L)eHRv^j&#0+4oL
zq9`XuO~r(X=VzC>6R2<hJ3Rl+fu5TqaX>yI$)c-x&uRQ9KOsWLIDVk!5p;$gH$Id+
z&P*tE87Ia*D{k)2Tj{<S^~t-t2PgD|3+XqtzJ85NAu5aHkhY#!*L`4U!V5aWhUXN{
z!u#(oB=w=Yb~|2dl<z;Aq-f?PWV*VIcqY9yn(Y9+;Y0U@Ic`U!Kl33Z!O`bF{bxQ@
zkBVlz;X~6wS|?vhRJIzkQBGV>r@JLVc63pDPh{zq#{{O4rA=1_=KMEo%LUx8qdP#1
zEya;O{Ku_J2{%-u)7ehK;^FjEdrx;y>>Um`U_$iRZAs879w61*vMHF22TKB7^vS7F
zt`RxCDa+sj4QhoizmVF5qP;|n&GbZh^P=IsI_^ib{*eSptP_oZV<n>{d7Y4<0o7dN
z!gWfW8scWJmo__%`2C|8+1`ivq!}#=B=e$|-f6xn;YFS*7sA6C{%39VPAaPmI?Zrd
z(1uP4p&9)Yvy~^-*EW!kGFce+V08>zO`-QLm%^AmNVvQ?Ls0(^f%SH9&}WaNQ(~1x
zaN8Gm=6qw0cVZjBF1|JiXesJ1zop8y{}b;XnBF$o_;cD6`8?FP=D!je7?e@(p#NdX
zVsu>ks%2MtE;TY7Kt26!N2Va(0q${fGvWua=*DH#&Kg92ly{Cl@&sZTtzTX;o_!HK
zh&^2~fjGom1{oiZ)Ou&meaVc^di4yyTH}PKc6&ux2k6chB$dZ4d3~^L5|S!49UO6!
z?(BJ0Awyru4_#3QR{9b#a|<(5MA?uVUE_j@IND@t75-GRjw~^o|DFBOnLRa=Esil&
zRcT$wl%m?>RmHQBmD*Rc3+^ADIeSvJ#tI<~R7={4s{%~BC0j$qxVgIyhShKQ=g$Fb
z>`Vn+2_cd9Wh(t{aFD}-{oRg9uaVou@uCMVW6j3)^=sq@h!xqfFJ5z~lb<bRq4rYh
zBQ3A+#~4B0MR%ya0NVJ?9;x;5#|rU2c4TUKGUyAsCT~SZY`mx%;?={zF$U<`$W?lO
zGciz{x)szK*M8-l{n($+TLJ>oOG$$pzoVDr4XctNaI!ie2^|!OKjK<jfgKPD)%7=W
zjg@pHiDrqQpfk}!-hTJjv?Cm@jpt{b*CnIUJBBdprf@!!=At#Hdkd4VHm_Eo4^l9m
zF)=XQnE%mMD?9MrJjllrQu#9gsC+}Rx~ii9t=qe;-w?p9<sIQ13-)wx$@+XCXOrVu
zb2hPpDm{RjTh^ZMfS+~MvraAc3ta%NwK|*b)%4D_27R>hR<{d40Rs8f;B6iDy^V4z
zYymMbSh4BqCQhj@(Qt-0emR;x(0Ci`f%`iBgc;1oaq)I6Nopq7lGV&amQoRf=kRTl
z)oA7Q+~}W3T`3jRHKjS;$HK9Btx6);7p3@HpXn+o#gWQx&(_p^xhZ@8D?|2oMYF)Y
zo4AKww0sI?DdA>&Yub!_IT5BZq(49h^Lr(XgG*c1+}C$sE1(;H?XUC{1{#)<Bi*f=
zs&EjV5=1JXkPTnR3I>|j41-n5>1(CAKU?M1&cOO(D`*bkUEvCyqCmOVx8>aGh$t)X
z{dytT=5fi?QH3G^ETJA}E~*ysgVk4V%HaJ8q~4H&GIT&l5B-P#=>^5e=<Ha=9Xi6)
zyrDBN_N|@I)Y_G_wx%(V{^Cr%^DO6a+jRYgsnrP(3t~SewR9m^9?v(snJ7G!MX_*g
zI17*R?Kv0+231a*lhNxT2lB691JpyiJH)ldzYg$WqP|Gp$>d9TI}tEo*_42v`k^z_
z=V_pg?e2o?IUHOrEWW>~aBYZyk*s`%kO8I1{bkM*)x5eQ%ehJa{yuHItO*=CSeBc+
z`BK<iF+aC|`C4^E_)9f;GhAl%8x0`*j1O=TE9p5A+WP~da(C+&ucxSMJ9}Y9i=5qp
z7}5!ERI9y*`qUBy-bh=x+<x$pH^e;tjhJcqr<iem-P@!XRt~+U{=m;UO<AvSWs|MN
z4+mJ;&^65TUYtc5J6Ynh=4uauggLc`^Mc_}NJ!9Sl=QJ{TT}3k0MDhQ?6aK{mA#eI
zI<kCZoH-64QR&T7eM3a4`BsfV8`rTswji~vKlIZmthIYmK2udU$nQ+!z7OKtJTzC+
zUdCf1BQ?9-)a!U)JdQ>6Y@VGoD$X}R_Jcz%Fi!LWp@E+bmo^02j*yqqq?WStA2yrp
z^(mbxF5ws7@5bwh5X-qYJ8*M49RbdEYv3ywc=5JLSp3Lq<YLjnO)a9=n<aO8zvKjO
z@r(!!zB4RP%C!dN-$lp{C0(_9F;MdNeH#|V<YV|@*W>`X8QH3f0|M`n)ZQ=*rT+lo
z+gd!(6OM$@H?uBF$nfevj^ymkPjSd_ZGzw@okOAKTWq*H9m-4qhf}N+3(ZDAcuIzL
z+aynrC!Sc8PMv%uBAhPo2y|c-=fTy`^57#cf{}Nm!o*eS5NW($M!fz;wQ^9w-<BIQ
z%ty__e_^Gw*ev&0p}VCoi4ssPE(wq+o7WxqVTWZPE&ioDS@#s4<keVZ>&Ad*t2x^y
z=9QE=Iot=#9h}7L*)$Rz7Tt?|sBR*hzLT3<1^%`p#}&QGe3gdQAcH#tGUYqCV^emz
zA=+%?`}jdT%<yZ@!W|c$3tMnuZTx)F!DoZMp3l-kS!V)5Ti017uiWc{$JS2v%uRJe
z%7gnd2~Sqx2}M+3pKsbs&gHW)EltTIC4L&kQSV9Gr5nPQhIHmkq|faKGzdXhyi&ID
zy0IY6TCqa@qT*Dk=9JbU;a^-EJ9pag<ChGH+a_l0;EdpV;^CiUe64AAHp~4P@n|d~
zPnI-M*03%r9JiZp@?I(WR?ZEKouOXVVxbT94x9%Hqn+a(uRe=ViAQO!0f2Q|KYn|4
zYxT3}K0{z2VPS0s8M@-mf$=s7o$@^S1}iC~t_^j!q)=3>3_L2YxUzI(?lNX+Qh0$V
z62EFp<%iGU;-xn(JV&Jj%TnvV{7oMC{wLnsMfLiW9YU*b=O+g58pPOMkk2T->wqX`
z6Vgi=RnmB2leYXWK%$`6qXH2N=m-ol-(h7()=$Q`a*_e^-oWAJu{QZFqtd-&t+X})
z7nqb{afLE@Br<dYR8pgz=$;3y@QYV#12OG~j{xWJdCW^H@nlQXi&q=`ujoyS77Jd6
z{!xmjNAEd$!<JpHVu|5fap-t)3rkbnlH9*}c+<Law?sM%O4R!Fmdpn=zKU(}+}eBW
zF&%+C$QL9@%E4Nn(CJLhhs_LRTyLqS#KDQyNKeBzmMrtcU-$H*f^bUrF6YC4_``Q5
zo{Y4#wa+G`vJL`t$HnytUh!R2G%#96l5z+A{ot3i<_&A}Gw*~JU`pO|p2ymhj?Kw{
zyInjzqXBm<$I~>(D!))R3x4Yu_rOJ=ectB23k@QeCO-MFP9_!w797x6rIu|VAVR`1
z2NfpEewE|%fHLE<57j|=r@bRXlz2K%WRY<UmfM|4uBuuI<0fEkHv~fMw4v<>4e3b%
zdcE@bC$@^Z!x5`6?as$N=OVQaU%aYvzpr*H#FQ*Qql0=fg#7u{0(AJ4H)v@5cw^4e
zbsl8z$FIKo?+$%;Ns=c)!15%GF0eB7&zG;^UYO0}<X$ClcG&fnM4%PrXbk$C#x7nR
zSGsKiwyNEIzDn8AC^r@#!_|%tdu(bH3~CT01%AJ@86(}(8*J&dZSu6ugAUy?O5U;Y
zQU5Ys>A&z{yTsu{yYIW*iL;?`IP!9m(f@I##wFkV{q|cKZV>V;4e_a({{Ux4BE24n
z#NhE(!33o$JthwFtytD4+P7BWo#}Mzgr9!>8WXu3{xl}J)Vl3RX_lp><LT&F*`|!R
zS!#=2&WYRYGG4Z65IRMW%F>$l`Z1djDBSZIwY(emAB?p?4YaJR!n4J9M0W6pwRJ;V
zCOwurMycQJQ(E0~?QX)E=|BF@5)<#b>%ww|CsDu*I9?MCuU&@g!gk(cPp#{%K9I=o
zREPT1>UB0q(A|h?xh*P8Pz|&_8WR&^YwH~lJbSjt^sd{(4P4patmEF?>C{cEb@5Mw
z3O?kMW>sOq6+wchEjO5b>tp#I(6-4QP&5g5zx$(=F7b~V9f8~$YadiPg?MrEi}G}h
zILgn{)4?MA5gd}T=<PQAtnnWAtjo39<9XRus3l>M3dZ=8V}VxT^xG;{_e;DBoD0fl
z0uezex8!)!hV}FGmY`(%MsgTSZfDwkna)&s6pHMj-TB9m+309}Qm8h&FuT&^y}ge%
z`n~SCdr-rIGJ~jNwk=s(@4B`tcTacOzerkrvj|k2(>zFyS3?;WRn&`@*I1A}h<ug%
zTvblD=$d#IQ1RwzlyxuJ2+%29oe$q1NWt2aREPG_yVO|_3+czvGKmoLfTC3bI5_O>
zxr*#71Z3d^-Qjr}?)@9j27G<1(AOp1R?bmE??8&TPjrv0)pgZbek@6P>^NG%lnxEG
z@x#0I<1^1=VZL@iO}Xk|;m;MEcbc!>CLg0A5IxT2`+Gp_P09Mw8RMa(>*R#eWEH9V
zZKPqVN#16vwJ3Sdmq{tVKW@V%*j&t7I($&2wzzGPwlwngTIt1w4>kwX==m{j=F4Ui
z?K9F2iA9!fNhP}F5Hqwi&Q6B1<J9pA+nBzs?CHsQ>eRT)%#@)08N`a3P~_>>GSY+`
zZkLeWEMEW+ICRUh615%;-8^T}cydmq#~hJz7y((QT2JgVZQ>&`yD&JMB8DC(mr2S9
zqiVRY?glZ?-~jktHg_0;iu|wg27l361w0r}cU_e8p?5iZoFE$G^hZRZv^n^Oo_AZH
ztWPhaBn66JF08F`aCgM(6{v&htpz#~v(<SM=r?VM1|P|?-^#qx`&o0)7%$+U_Ddeb
zB0MR?+>0-3etTgyK}v^5i~bi2=QZ{&;L|qMz!tGQAV$!WWQ05hhuR;44-j3eF0PLQ
zbM}5zmyiX(*2_i9U^@itUP@A;_22@25|H<5mRdRO6&5=>^`NlI>6oYbeSwRN(M<&I
zqtSc~oO1EHwm*$t;fC)Ec0PWvE5xV<{i1r^HOuSr+P2L{UcKCNBzp||J<)_FJh$Uz
zbo%;-!`?D_tuHpr{Jf~DPu4=)UoM`h(dpc28_6hIwWq?=A^<TDgSa0l;ubb0w}lpR
z+>f2~gYlf1x6B;w6&)xD<BDKa+a}rX4_uk;{q|Ms!m=juHMCHcp4SWT2O;VNF~rU=
zen-ZROd3l3dXf7LdKElwXYY&c>U+PSD_wiORNI@M`EL)@e=~U3?H?0(;Ozvay)Q9*
z3^MpRfmV6+JReHYok^{PVF)`yR}4+H+84_t-RRH~es;m3=5G(JolffoJmE9DmO#a0
zUfi#nznrzI68S!zyG}SrovN&rR8~2~A|i>K2i5ml=I-5RYru2!2{%rxHEdXU&dXTa
zCOhdC)}Y0~@|y<rQH;xFPKr;MQyvFWFwQX02oA~6Zj4n}cOJ8*37)W-3IX|DJ~wUl
zaz+46K(fE|{@}>R(!IbRW0~kN);ce14?qmZy4)FEq6S7aqzfX`1Q(;%^2daY{})9$
z@Z(!0{d?p`y!hl){t+{F%9pGOiTqhs2feOjD-7am({0HCJTZR3<t0mW7fc$$?v0G8
zBYmb5WFa@GRw+AxA6{~+>I({qu7cbWxT&pk`9}P*^Yr0m^Ctp-iH<T8FDq^UF&cRF
zD4DlpusI_?v=4BFj<p3qb?Qx&L`Rf0#>;FOlt*uWF)@8W(+C0!`(&_1s5mMv|4Q3k
zr$Cf^B`WIJ*(0nq#G>`*s^H*m&WA<o-uj+xlep4+>+H?-68M@_-qvfAxeyXkRAbDC
zSYgZ;W#Xagv5`Rm@LA(m$}4dOcUrOiY8ekLZ9D&u+5JxRIIwxiM`NQ40H;_V_$rRs
zwa3Z&HssK@$!_NILNI?0LMojvQOKzHD#@gZ?V8p!uK-rwR530z;3!C|zOCf(S7}Z)
zoj1PhRw@m?DG7Q%IMzN^B9mzh+a}Gif^8F_K2q1zxdGVJ%(wjE*9YClx;%%+;*sDl
zpp-Z#zck1@18(c((X!MLJP^H?4@XCQhSbO9^<?i~G7L~2M^Nffyn5$&*-`k7Qlc>S
zEjhr#ff|ic|7S1SZT!QTD)iSxiDWVpf7<Ur$&I|}p~3FJ1h#rbGSt-TL#K1><2xVv
zI#1bEzTR_x0s&*dlMZj7U7UTlO%8QsC6%Y3dd}7(J7=$#hhj&!O%yE%7sb)4W6lbD
zo(&uN&EmgkrFXtv0b(oX65C(b`!VaAnsTUKIBQs*$XY1-Eal)2{7D|=agS=XF@`Kw
zx@yA775#0?AL-12U#1=Sn{L5_IIhZq%~YYZ=Gv;gbv|j0^Yh?wU#iR90#B`Uy(z&D
z2k1Ln(Dc;3qr9zp%rh9qRi0!0R)fI*i4T`48@8io*Ms7|Rxsa_RGa{f*m>v7EYWb@
z+DHl<jCIMCmC=*Ox(QD7w`oz=`9)9&{Pa6jsX(yk(w6=0sTJ~9b3x`d)}GI<m*KUh
zps@Sn8aGl`(veW2+&nU)dtNU#TbiuVt)@4-?xlD+dfhvvkG4<#naK>d?7{6uzhN>j
z5&R{yJo(Q|rcoU~L4Cty{1x|E5I0LaAZM<CwGc(Eob~m1wW0c^+RvdgI`*@LtGSCb
z=Z<KxGo7anhM#SeJJ2cdPyyyXhtq{_NGsr0Iab)l7WJoW={e4K`v2)p_p|BzQo(kE
z7uk|*zG{j}^b3tCKiF>QI#Ib90tX?CQ&g1FY&`bpaU9iSacT2#1dJ>SG3WRzoad4=
z+ogqyGQ$Hp4OVH{?l&b70S+_=%*A$Fe&5JSdDYRBW4pWH3t^5!Y+2HE3KG9UVns97
z=~%H`qkU&hnTh^@JJ#yB2h*}Hc$ws?XCAq?oNYXjmb-1jYh40w1|9ClR-Ra0!``W7
zz%**xm8{)C{yWD{J(W6m3y~1wHQqgMeT?w7!t=AqhOLAwdw<N@W_po^Gi)!C#;Q#|
z|Jk?JJ}v22J@OXW3ua~}?yQ#$){rwYnlm&iL}0*>dMj)zyVwlvv`Vd!kYN>=-~;8c
zVpHuApDJX>)%^6WPv_zhJ$^_=^xXU8XqdregYlRDW%LMqoy%07dp~ar8m+U~8?H`1
zoC$Z4@7*_e@OZa&sNPf&OJ_3-2<4nchHZ;RP@ekS^>J_5SW|oGQ1ZtqUusqh45EO<
zuu}@0e-OYXnXXk&Uchgg+*@i)RgXiL*q;_*f`f3)3(|ijA7)iQ%ow7s^cyt6*R^*h
zJ&c7IcdjrA(TSEtOnC?2hcBp}5#ehjBy&j<yX%_+V*GdA1EU9?CxfG}Ou#5U84iSx
zw>Bzh2kvbgQLF?H`o|7EL)@u0UZKVtM58FE(PrD^7Uz*pc>(-dJoRQ3mX0_AtHhgs
zgFhVDXYIUCB^cu+WY+0nS=@qb`R{~=VCQJT0l0aPcER}f-)en;|HLJf{L#&{Xbx3U
zr3f;8;(>-h$!+<Uy%9;9rV;s9yH(pJe^4<Va~y;|RpC#e?Aqhgz7*6Sh~Rfmz2?y6
z6K+kZ<S=;57;3tZ2Tqtd`^eRk9egBn*~dI$!;OAYQp~`FPYs`1k~;c4pun929WKlT
z<*M5FA&?PKBX2n}8p&Jq{p(|A!rgKA$6W)0yloS!1-d#iiB5)JZk-8!w4Ne0@A@PN
zKNn?SRYm8`MPVZ2KsUxJN|T`*9=%Wc_@-OMV<$l^bMAClLOIddYGKzoaQ}U(Wo5R*
zWqRq{A^73U;ZkCRubr<Q#GC%dLpR>O_V2CMc1I3R-~CDClX2WEuebM8-Vf?fZh{4#
zD~@6TJHWyCE~ng%Vm2%G=I{5AoRQcHoYQR<&IU)`D|PFeumutb!_8s6Vl8Y?xL?jw
z9EG8buxZ<=V)92{$>gQZ^Ix($g(v;AVcf!*8(N0XgH5rmcc_j;1OZ-K1A@QOc#@%|
zV{^-z)e08ZGH6+m(ht<)sX(Cy+K_m;(lFC_@hpL}MatH>f&AR463*0z=)<kr`K#Sl
zUv%g7p+EpMKhwaVP0|sv0j4-}DfRDr0*y~z&mb1S&C(Dspi>gp3?AlT?m`S2>x0`S
z$RCe-0G0D8m;!#U@^}e&|JnwE!n@pdifF)s6U4}mMa$gH(2v7*)*~Ek@DhRIq&Up1
zX-!`?EVNqf=`nH|^e2Ni`yZX{1J9WKTIAH^ZSZuqntv$q&g|>*kPR0}BqAeOy5;oE
zbc_LL2P99e=^oQ-?U9G74bcvVWo5H=yNn;b#@3D7Ul5eQZ;x>3N4<s2w4^PUbKY3?
zs&4TF<cPdkIcz&bgxuC9IL6fX`3$5TIG?I?ot`fGc5EdjLCM9+A3O^{50+JJg#@y)
zw0c~<QpLSqXa293Z(qY!cizM>&!njVc{d}~9*Ic1$?DW?laO>3!zBR(a0s-VgH7|m
z*?=j3@Jk1o6V;v__AF)=OPu!ju+hqgc7$GsUsZ3i^Ht5W(|ThXqdvzcD|m|B6Fj_Y
zh72sJ^RoYs2{)GNF0XFW<v}e(Q};3{!ild5iZ{*_xglUfrKB+-WGT|-0{H?1h<yb0
zlJkz@ylKDX)0ltY148&p#vuvjdMXoH9-I+kH@==27nDu)zdd2U&x5hD916=Md@9u*
z^qC3F3$=&U%;Y%Q-#pVlWNUxzY2t%9$6&uw@?UlHA&@#4J}zf!CY;AhyIt&ATH9MK
zDooRd^C9XH<Xmxy;H#s>tMG<;%ZPrAU%2*ACLUro)r6XdEx={Y$fWk6$D4qy+x)2x
z`fcSGf!KU;w>d~@rUqYX%c%FnmQCt5jtp4zAu8C~6>bEC;|P56Sx9q8aQd22LHc}*
z{Pp#YB8TZ@@rq3UbS`!Rv6e;{G8TOHbjCcwZ4y|dv7Cwe`#(wOdpLMb_bs=;t-Wr(
zmLo-OBFa5RmCLtGk-`2wKtsf~N%)9FD^#+sQ{zSXO2U*gVzSb=!d<1m7}jljyOUoz
zW4Sps&~4ecFqg4yQrNK!A*Gj60LSnDY|#mSY%cKz!H_<Ow6dgx*~xWv3E0;s`KloL
zjgDc$(-&FM+%wETj%Z$U-hR~2YPFb=)3Y@=(R>P_(mLN#7E)T(+a?pl;c?}pp~{*4
z;%0FHh9%D^B#;j{=UDV6m~BctvoUETYiq#~S)Uqo)S)r|!=BN#5=Y+!TrSn(z97dR
zKRW5#6IxLE6cP`6SRWr<Oza7=*8~J)<gc!Ouoc0TN7(=QUyH!~0`J<a5R8@&2Yo-f
z7Ylr33F)~3>+f@R?nF)*>$|RNHqe73B4-F4gC#tEMm^~ZFxWMWaJX4iCO8$Jb3CGS
z1KFM0%WLT#tM<b^@nEet1-A21(&v3HAXi@bT*aAHCL2{970{rQ{rz9m|GU;R)&@)6
z0qVv@<vEi3dLm~m$*@Y2nMUpT?vDNr!76x<J(L&R?JqPy7lsZUsI&61_WUU-C4vYY
z)4zU|RdH7jy)}!${fB@Q3)STKp<Gi`4QpBsj1J%omLKd&3Zm!YVP`6qs>Ii%0jM*t
zq<{I9D&fB&yz}lrlxIg;oN3eZ<+jw3zTrGkA(`*^VY9}Ak(MHzd)9Ot`{a5}yFpfx
zKgOQPdUcSzZvew5j}((H=oTiKExsc<@r+|jxAnQ`KKb6g1H-nMv{tXn_L1ItU>ehm
z6WQu5b_+m*T#Cm%dNT^;<5}4!ybb9K$2)$`7!~+uQz8gQpxyrIf_%5*wF#c^fEFZJ
zQe1!wxj&ixu}nJFRuTt&u(Axe7{3@5)~IybHVK*#AT2C_m%tX;D6_3OzkAeA#TJ<{
zg0Z~84s!hh_k^x6rQl|4GiQFOKUG>h<)fXb1%)`;i*0@GQ!hd+AFZ&Rtgf&fqIGmc
zM1JTXiKemMdk*xEFM<s?`{<wH@1B5Qg)Kmd+}t+tdXTEyz!7<kw7izgg~X)SvHbID
zLddr@%d!0xuDK*QBsnFHhw+#RI5o72+%`FqD490jDz@?qhWf?W$%gpxfse<B)cVHB
zYQw4^{}{Z)vfb!j1K3+*>zU6@r}Xyie!egzlX5uIHzryPO*Jn<ZMvMwE#V31FKA*w
z@4^x2Fc08tNkg5<HdmkgUlr*|V2EudK2D6MQdq}3)2?SC=6W)y0H-H9N*7|f+n2l+
zeo`f2NvC4OVDTIUH2%#jZf|17cc}W))+JnvploAALoi9@QAayocW|n4GO}1iCRieZ
zpZJK`_B~<Wdm+D?ws%I#SV6aSo9P=VaT0!ZL3aIHy)U=5549N|Xm;Eu@rnS%h8&U%
zX@M0DCjYY6eISZR-2yzBiAIx`&e~=LxyS9;1%mReCc+ebBA_uY#fk&lHhH*a4E?g@
zlF?&YJuqr2W>MiFIkT^peC$Bk8vJFFgpu>nA()F>jfPGua>obLI*uWiC#T(SpZ-Z}
z36ui9OT~z8GZYeL<YFe~=v}Xh39NNl!6j4Y$io$k4_@){+_SN3ixeNqIaU+Sv?uK8
zS$Tx_kH2-P{|0*yLf`1qVNicGWQU?kVLvuJIK&TVaTyatyiI)0q$B;$td^FNjJ@9;
z4BH6nV{MxlJbN}G%AIiQqYB8wrdTFU+-*A@*c-eN(M)#IUZ-vN!Nntk6Rv4%scttH
zVCtA!1cH+AKzIvaZ@j`e(K0op@%QTl*{RfPC5(X7pR>^37O3N+t~ErL)Tp`!*a!uK
zQttu|?b8`L4bGMvo6;2$5=xwjio!#_bD7|Xy!#I#Jl!@>NC4VL8WaQuCCB&Md%Crh
z68jq`6R-!#%08xMdO)ujE<vdDDme2avyPNV$fcyV3jVJ492|axzW|>fD^uTCA}UI1
z<|0d<j<XR2H;d-l$Ou?M1k7JDc=6HSfBr=Fku<CedZ#zu*3|&35r&fBFxj@r@ET<w
z@Jh@48ncoWyKVBduu<L|^GIN7{-5<Wot=TO+|6vR#;|n~$}hJH@Pxg2O8@%O<vs<I
zk6Kq06C?~ut;1Hx@H@}1bE*=Iz$P@<&idk{YAG76gx?Y1EYSgLgcEI{TfD|MlX)h`
zspmRCw^q%^D$zoy$^UW=@W1D$7NLA$eXm+MMFLnw<)OjI>G$#+To%B1#$c<Jx6j%J
zn>FO_5E+6beHd;1TrzBZWb11k;rr%VjBA^yriFvsJ9A;84d=RESaFKLY%lV6^ljic
z1JY=f<X)1SV`aU>Zs290*4J~Z(=W8;7jxvK6=&PzFKIY38)o%|lx9bItY_VI+2@mS
z395cr5~FmbGIEZ8RYrkrV3z%stHseFzJGgVSGVEveP+TX94|pToRYLmczM$A*yDJO
zR(ydr2o73c{9%bKRk<x{9Pv5Rswb$^<kkgk0xRdxEn8)LXK4F+Oj@f&T0^=z5<Qfj
z6h?<@g9X6?bHtsB2H9su)tN4+cV>0)xa9wX`TPdX__!KReBQ+B23O3!F)WdB$Gsju
zeAGt>DQyUbYi?f26Q1%ULKy)?`DWRaVQtM#<;Pu&uAKhSD;;UL1BBwS^f<>utg&Hf
zcLcAMpLp5cbH!b!*3GG}(jPIa*J@OJ$0L)x`0MPu_tS#UEP+_H(Tvw0zS-#N@;a9)
zqJsv;z1krbo5kV@=T)kYPvMkLTI>16ZtyA<Gc<?ne8p6{O=}cKq8!^!bW0mDxMBOL
zg>zW<2G^#p6Im_2@B)F?h$a}B!51VQY2HX4@5aON!#eWE0bh>Pdhn{)?Oi8y-L$;f
zqWw=pZ5cnledj*_kRgD`O!pPoq#!AS(MtjJHRTQFsb5E<gT<|R9M{eDgb;{R=3<b^
zMBm6WZXK<a0%PnhNV-?#J3gpaCuGnTC-^rQKKHkFNd}C^Bn_8=G0EcmB`rpg#jsw4
zExYA10wA+v6LS#)LbCxOcJTJ&o~;0EF1-5no_P1D&dz8mLLmnGoG)s#uWar_Eo(tq
zc0@ha8<4;-Cc)!)G?X6euk5`$O8p-2{Y~k#*Sk+nC1n`S0i4`Fs&ma<10L#BRMa*=
zOEvKm9E2CNL8{}fW6hoLcCe@Dk4HPTt_$2h>?xjt4_LZBOL;&PsiW;qqqGpZO9EUa
zARXXqV}uE%6zlQo=h?pyyNC9Y_gNeO&h9(|I$GM&o9>m9!(XM%Cw|ZOrc0kiY>xjl
z!f&L(vke**Zj4QzIy(qi2hN85P3H^chkc*4u(H>oh<RhpZF-dyES;XIDD$*9^n<V#
zW3Yu?AQ4YM5An)*Eag77^M&VW<O@VpRblFHw*Jh&Vn>oB>U|%DWKZ?XsB*{>(FN72
z^bM|M9qoCQQyx|D-)DuT6o?WB1@8P3M^<+D_zH!-WK7M7+8P-ai7QXn7_H_KPgd%!
z4xEsEwh+^>F0y|%&88e-MQ2fH_@s&MlHX^0Iu%)jKppdHbc8cWl~*Y=&!@4fEULTR
zcqZWCPbB31arfgc30a>_=7$ca)o!^olJ9LvPzFAo*wO^0Q;LKuTd>;)I|X@Qi#VgS
z;&|#IU_ctz?(xg3uW6q*#;7)mM`t=yJnGbo*^pb-g>ceoUluIqe$`4P=j1>~{3JUL
zVrk=$)(HPS55NsS3fDFMyq3S4^KIWV0c^T|NTZ&nAwLc13J7b^j|=nqTvR1{E=rF%
zSo6>4uCFKEY;Rp27uK+4o&fh_X-xE)vndj|5`we91UI$kaV9W+w{HmZnF$x@xYB3k
z5L>GhKg*|x8~rf)S9eVlPZu=n=iz7kgiT}2Rf?lhJHT-w&WCUODP<Zt&62z`Mr+JL
zLiR{F=LNT*mM6yq(b@z2dz>rHXSPl1eK!NLx3t#emhXPG2LT9>q6vHk#K_GLjj?Tt
z$bAC>QM9?awiW!{A-l)RKDb@Isd#_k(-p`U%NWN`<=o2kk@nDu7GZ9_9}elZyE|kr
zIwLQJxCIK~FkUp<t=cuP7D%|=iS(HuZz5lD)E*l~PLbycb1c%gRx=IjtH}Yu@P002
z5ac>ozILZ7MlrK(QeO9<s{QkSHO<9EKe;)aMZG<xomn&1@Wy!}ZNyRU3I2<lS+E!5
ztL?b1X+Ev|GJD%({n4_5Th(U26ysnDJ`)&g`$mX#b{fZ_y4<6J+!y6B&{OU~DITbt
z{}|H?aR+(bNo{Cd4PsIaj(hLqwGNl96NelU+_z1li*xmXCxI8HGAY<6uQ5%T%yVgu
zQ;fosVRSNCpARV>I~mAXU4xNgj{+TF_y^=S>)Bks^960Q{C(4K{HE%+S?A^d#ye57
z(IsPE?RmnEW#R+bpg^|%G>qd*amd>?No%cX3SX8E@sPx8<UW)>Mi|hx)}5#4S`HYd
z$?Y4X?z4LaTlegQyQZNsXb5m<342PxKQQQ`J4ZEyHbq8$ExVbZqO~_-b;H7(_?yX*
zi8)S>>0L{xQuk)}B=8Oiwbw(C<K|gfMyUf*-VD&<2Hp%RbcK$*s5lX1nvhWlg?LnV
zg$7sJ&2}AZhsP@#<9k4iJ4Bi7n-Tn$car`&f@=?$PZ_NR`-R>{znMas8NX4sSuuV3
zGJ3T(lb}ep^v0vph0CPVyJNUlwBxm_qK91aOW0hpMY>}5s6)>c5rs*)*LpLKm#G1(
z*tUJn8^KGZ#OR}a&hO&^8r{HAc(rQJPj8Pk%nGa`t?kx5@gu<w<+g!GGD@k0W4IHo
zD*$W(YO`s&sSdQN9X13VhLTb&8WtRkmRSD~w<=+5QY>C^rL3S-6S2%IH``iY8WWfa
z@X8KUCx+j-cvC*S)P?o_mdHQO4|JXvLh0#?(ZHr;kH<QG(|O~B-<r3XFi%G={4(&f
z4ynPwxcMuWjJ)mByQp$y-ek7-?1pjQ^Rz@qd-TWrE=QXuX-i4yVI&ZE?!?`C=Ws%K
zKy)Pqlp+0sbZPy<tmExj{Lu&H(?jEKDe<9PH1fvTtlb~*v7;<z+Gl?EGl*F1=$Nvv
zVkFJ_!ivW8K)&+c_^EU^2kY92u^M-n7KlMV5alW7LUGEQg|^Td?dFQD3x##rZn>@Z
zmz>z~Z#HCh^jOAbm#-sh#>m+VpXOUEX9I!F9tM3ZmXrasECS#^=rN{5)BreJs5yHb
zE;t@_&eQmTu+_0(vZa?QZU|*8;q9OtBhqD+x9RRS74SfPipw<P#s^oPqBsb#r-MUq
zm$gM<Xz-3H#`(=_QW-CDDA`ZMukw~CX``{Pt13d4V!Yz-V))@QT%)Tp?DOBYUFLsa
zoqha`zPv|gcuNM@PT_PXe?NHWAgLA}-y<1p4hRTd+8mb~-9@OR*2dnI9koFrwQecB
z%Fk2Hy#wSQ3UN3=YDMt<F<B|CD*98lHlgR-2{Yo>5%b!i6M<ez)4YJN8gYUBsO!Lp
zQ>ZrF6TdgH9n^}=@9$I3&m@G}d#0|XO~r0(W;)!UXd&a!u60V0*-Y`OdGG*xuK>2x
z+SV-|S<mFuvLpuP-YRj>uKFKTOQg8F&%j|;TpJyDkyYvA5Lv>CW7|2bCWWKCshJ8Y
zuaP!CJ??d@fCR6Y;heLxKE|8Q)s_b$B5`?Q_9MF;3m<Go*vDseooMoSQu83cy=&W~
zXndT}kL)-ump&MI!^Qp>*;R}VvI@c9sR}0K_xfZTptw-6`H<?VNYr(MR>dZ>t`66F
zV?vR~f3hHYw|H6x93e`|V}!w<<ogxQ+$f_4M8Hi~VtMx%{Nf@73?-w|!ExMoUVyQU
zz^9%k2Jsi~n(qHeDRAZI-y@7sIU;cm%GRdCsi|=i$oi%lu&Ms^S3B+9qbnuG1Gnl?
zCzs<z=XG&*w3<99ld!8>k%j$KYdPI@GAu3@gU&RZ=|{Ut&TgCB$&TCdK~-k=1Lw}B
zXDRNBwr01cZ@tm#<O_t!qA8yEa2R3oGBQ_E)VytS<CpQ+osJ8&yN!Vq%Z8+qunaJu
zw%79xaY8!GPw;H)!5H27_Xe4I7sz?HW&Q;vnMre>K-m{hdiiItIfx*q81chm`cm_z
zyDB9<#H`-Me=}osy2}Ul<fJ2z8MMI`zD_SdMP-RMFjLG<sbwpNL~k(~4nCgZEF^ln
z?H<h!wGqjem{RMg{8}%*bF@_b=#7N7qa0V*6u15Vp-X>;Xruc(U0aDQ)42;VF|+l<
zcs*=vqv&GeA*~^J)$!b2?F(&LyR0m&DQi8<5dv?%KEyBo%R42h%;<!PiEWdIMkG1s
z?{g=v<Vy1tIH(T5P3(J-x}^wGXh;N2=B6zD2gvK(ZVWh6=V}Idvf=m5oR#}(oGZoC
z#!>|+Uf6~9$vMJ|$mO^4)sm)c1Thfq65rXcBYfDhq*`j29>Ik!v)^Uci>n?_RrcD&
z`NXGgn|yCZzFpfR113Ej&{|zlwSLl&8HSP=+=Mau<cZQ}^p<8yUt%;H!a3Bo`2z{N
z&|9junPO1p%o}+1H*zVDV&JZCv&(Yz4cjJME^cDu+~41sEHU?4e|lATak8V_QhS}B
znIF2YiJ;8HZ_(+9c$uA%q^2chB`1|%`Vpa6tG=xFh+-AFc!M&h=fr|6gB)e1ee-WG
z=g?Ugo9Epp-S4X!mr&xb))*E;nt%=T7kAd^ZjHg12yKRX8H|bMzS%9;c*xr2Ki~VK
z!Ox~B#R`%AGHkCMU(w?Ep&7Gp+I5-Nbc+iQs#O3LbFxt`!HmNSyZ_^_b>oMG!BS&M
zeSh}#^F-14w75e|HqovN_AI#-crAHl+vL-U+TLc6SbscXX~R~X1e)9PC-#MY<6oZz
z#z-dCDWj45V0ZG=%H3*m3Cjp<lTj_`OQqxo0NP;8x?;5P0>cMs{`}=99O82Ntku^u
zRlz5E<{|kVb?u&jlUVP9@}%~rdq7u*Y)U|@4+8MTGJe|xS>7LcMshSI@9!V{&z7FF
z4n3M#5p_)JVR$rpXh2rRToQ91WbR3XbuORUi0huKMfeBv>Qwlcl|?<3_0??RfdiLT
z)?9y_TFgrxiJd9{8K+vF#yvw_70CdYA7U%A>Sf-%ItcfAz6zbrv)e)*$Ot;~Hn}q(
zAS0JBxFKRYOf{uc?)otS!K;4(i<jS?&?<1*1l%_QtP513fv<HJ%lfL6VMryG6#G@t
zwVrGLrrEz~cx3JI_ABm}sj_?nvyHoZQgY(L;w(?T65$c1u55>hT%r&jFCSkKTvQbK
zOPCoZ&(-<g`~I2a8?Vv%)!xlw1V*pPXZIBFVH)_HOgt@E4BuR<2xYR#1UAQ>;22d&
z$e+wqAWwteh+tR!9$@m_5-=QWSA61u5z5NGBJdA|m6%@?JK9UupZ1qfo_za1vOAAV
zqTGqE)ke<uE0Pu?yP$|JTCoN9I@*;PQxG?|O)!{Xr&F}}bDxUAK9c*yo{*s-M&N2t
zmgfE(-m^v;rEu###r<@6_x&$W{uGbIr+tE^E~TTT(0|Lic#H}2GSK$6M$nP<+<GL<
zLbAew3Lz&VVoM4#%KKMpTFu`Etp1#pZJ8^`DOSNv1+dF7kJ=deL~5-ftHn^fb*PMh
z27mlUZ8U;JlkBOFn=|No%SdnHY8kJ%X+`Ff93zO(cIUX-O<N^++9zbeTvlX7YlM;*
z8XLTbF7wPr^=Qk(a;J24mc{~7pndlkKin|b5X$-nrn}BF8(QQ9gq0l|jaBqTmoBrv
z!-O0=+286cWAagw6?UuxSkgBM4((GofY0#iUCS0We@)lDb9W=jx^d&yKq8(QA5t)T
zQMdO{aCi84TYa>9-7Qej+A}geA8JN{2ueQg-!^$RNj>R^<i0mMeIdEeIVzg=sx|2T
zNU8eZ9Gj<Hl^!Uu<M&2t6J(_b9SCq-e|WYxt248DE%$uaNn$F;JMb5Gth{qK6|%8&
zVDIM}K`}7Oi+Pw%X?h{A6Kw5rUOc4^*C<+MUc#Z2qm5%aCHI?c6F}RGHjVK;iJ~$s
zJFWxbeypj_r*rMj^5CpRDAz2Z$(5*jR`(K)W(eS+oQUK8qCxZ8wx+MA_m7K025k<$
zL<fZF5C3NK`~NN8b)QxI2hE9{Uxz}XP;g3W()#SOhrKC9aJAt~7-5=jZ%V+OwkvcN
zK812H`#^GwYqg(VWs)xFjIEA;Gdc_s_lcum^#u0%NUQhjWsex|;E#Sp$S~=;<Uj<j
zBTE_g`>fEoQ(tx$6JzQJE3KcW5v-%E!0*i!K|YRCwK@b8(F9s>8nM@x<DJ|%O(T|2
z99%aRC-XvE8?QB-jgbP13ebffk3v3$-+wb5rau7Pc6vBCGW}Qe+)b<M2?NB8bRzy{
z)x#LRdIpiPRG1B@;YD!gIp^RI>n@OFP_&GmEalM|!!VSB&UOIz>+&z_N{O<jeXjI3
z%g{g0a;wDuQs8?N3u?SUlpTdTzdbkU?Bv68b2mG=XRd^S;>Zl`>+5C4{B|O&YpQt-
z?~Oc0K@OK8fWX^ASow`>&7yA%I;2*8abR*}P&z6R)-~Z<e@K8<WF^Vft|a;+tWE$v
zi@@thUeR>6-OIb5B)Y@nLgH4f?TUxf?eS7o##0PdEaod&AZ4+9BTY+H07b<`Q7syO
zMf|3Qdr$p?I5;xmJf+}QwC+0(P#yJEUVme4RmRGVM}$e1;JSVLT#&=yG{bd-i@8xb
zZ`jOW$ND&_c}S~2iPO@5SeTtloQpmQSHJ3LqTK^XpOGw+$5|O9dZU7|ZG!H;_tUeN
zNh3Lj=vJVSV!Y%w4_CFDb;xzu54X&}_mjx?&&na$>+C)5>5?kH8b<4$dlPjxN-NM7
zI|f%4Ri&gSwx^&$2rx$a5(bE3)s8ibP$*_*Kt`S}&o6g=;9o7AChzSUQ0%q)Jk|Zu
z>o4=M?pEKlT6qnr7@#GKD>DLEm%ZO0ctTVk3AiMuC(AX<@Ano>JL{YRZ$@qbtwxv!
z$jp1qh89M041srb+az)K_uXG9=R%q@!XpmUL`V9zbw8xJ?CbXprYCyu7p-A-ey&fk
z@ClCRXO(rgnm7A>Ept$5qx+D#{R)_=e$=@z2AU7mQGcTqLw^l>98VMaCsS857yQC@
ztm3EauMQ8$_>n^{P$rD1w48G#)i+D9D{MF_osM;`pGkA7W-zcvthP-;Q7QgGfmMHU
z@Qym&AC6O<TwD|20RFih`X$&kW@~+(tu`TzDw$mSC<fI9iSnxErB>L@sXWfy#Ax;n
zR3vhpo@ri9w5Y$=<U@Ziy3vfqL?p@R-M66ojh;8-YEKMN0G`Le$A%BM|5QQVC5W5l
z2ByHZ7)DkBiytsu#utxX+FuSD6y({`Ri6H#l2!K~GW&<^I!?W!1{UTIZFti>IF!Ol
zU>x-JY>@lwDO6lhE>EBxJ{rSd!{fzTVhAj^qy4M9_(4IwqLvfcc&FCcSZG{t$$gGg
zd!x2Z>ihq}q7_07=1}7VH9L@%%~l6C;5^cu16K7EuB*e!WVPIEy35%Ax5)3K?e7Yj
zJX15~A}u)g&m@e~GWm`8IKK5qb(3a{Kwtdm*68Bol2o7zEoSu}DOM#Tx*XUi?owXP
zWI_C6Vq!~j@%mGYdT`jtz;GTfIjo!Gy*@=A43g-^^(QdJN91x2N5Z-Aj9qgtCV4hN
zV$*Fl1*j-hM-P8CMe8d!t3#!i5ihNchG^)^x1Im=EA;WCRT*h0`g@%;7(6pL>$}H^
zvM$R?Z@5lc0eU){uE_LE=P$cmY4FPrHjFRmw#4O+bRXbi(ja6@sFiC6tv7Zi=nWh2
z)*3I-JY1XNn$KWWe(313`bp&B>%wL8CDJZ)iAx@Kt;VZ*I5EU>o>~0M1c(oF?y1F!
zA8uOQKNAu{Z9}8Ut8uI_Yc+O<ZeqpF1%!|*L^YVU!&+-nS2M+DQ$N>JFWH@-oAFB9
z^8nMjCx0rFT0cOE@m8>6MYmVILFiRpA`qIWKc2Y4WvXy^2_=7~vSNdHF;E^5#FPg;
zh<{uj0^hM(OI@I=Y#CD=OA3axRGOlqCWNWC=nmj?qva>x{Xdv%{}1uIT#4mQe%ckf
z{zLE)AM22$Mz^tzl6)rp#f<F#aQEg>X_)J}xINu%cALbUY@^0FohDVcHA;<fp4#0c
zCUIa#TaBXFNTN|hoCiSdZd#2)piv_#4$UCMC{m(`17NHoF$9UCpr9B<A!-m&LBQ#n
zz0bYpbf5EEYu~l*y6d;^w-#&h7mM``@B2LO@VuTcuW^K9t?D18Jd^egn_tHm5fTOf
zX+=W5cXu@xIh4Fz-+M_{P9hDYh0BC<9)$-G>9Vi0Iq?QWast1`tgeTjma=6rmLq0N
zL27l~n}UDcmc2ia;c7}ANUJ%qjWutxqzSm;RVC*lY;pRRBf65~SVq-M@-6Gr8lnm^
zbg7}VrYHBxqHAJgqgJ1^v1~kY3tJo{2;QjISGp<JI+c9tLT9OA!*LN4hzv7~t!(wW
zO364Q+GKmvQ_4WbA`^+}mds_2w1&zX^e$dE`z9vG?6|~YkXjL9X-5F%<Qbgi@-Q(C
z-?Xb~$hqDXlB|Gt>?eu4gKyO<{(L8$le_DiW){mAj<ZdY7g$b?V*6-HbHcD!mE4eF
z$Dbfw23NLRJUO$S{06?f7SX9z!ChE6H9~9=KGLMg$30_RqFBJVm<|Z6JyCvQ>v(6{
zrX5Hp+W*O*xH~LV=UQex1kEyt7cnmq^Gyk8&ro-><9m9}d8g72dpBotBEWGO9ls<k
z&+h+&NTF6a7!V%6ZnV$fD_Hkn;TY4<5#z=OWBXQDT`;)0qeg%C-yQM?N5+Q#F#Xl5
zx=XBUB|%duf*FaFEc!In?3<>)xkvvQAL8fQFv>Rkrnabl^I3_t%}G_-qa0y|Ye2G>
zDweJdvID};2788CjIZ)tR#|&`SB0&KAv(YB2cOezaVZA;s3YZzySFng>_dfoqMOCf
zYtrnzJw3ubx}34oTanA)WW?I~xZtjxgdUwiA%9zytnc%c-vO(KJuF!0KK*GTH?{>S
z-&GAT%*Jn5QINx4l`T1;`P|;+iTCX{Ze>9L7iMRvaOhf;<@2?uQ@t)l=*jHBB4)E8
zkr8uuaOQI7ZnNJHnI-DCW7S6v`i|_oAYF4|4ZkM$#;+;UVGoZQMEIQ=6lSAA`o6{d
zNww`;MPjHIQF1g-xsVNIyDGhyv`?b~S|n2u|I|(5|K0MnJ~`stevTg#69b{Wt2^|)
zihXkkUiPLH{%})`!0>GQBatTdZJcxqestWe1$<s=+?@S-knz1Lj9FSSg*P;dt|Wdg
z*>-_qE@rTf@Q*tQg41rUpD<E)p&RDoHA&G$6GR#S6Bnv9>aYY5jQ9XAll)Ib776oA
z|C+yy)8D&4R;|+39j2q}mc%~3BX$0R=k2JN_CN^er+(k=dCitzLhRV&_5@8CV(pc4
zW>igKY}<&DGxUmgBLbHJ293))Vq1yLdt_|c7%Q>%0!Ib_5Q;nK8|%QFUb`lAZ%w&!
z%TM29bM;Z;XnDeoB0_RhK7DX4+rxh>H`2`5w=$OjsO`@|*DO^%;*-n2f?CB#d2eY$
zrX?LTdv{ngRK!4e+~XIuY16TLdNGT9i|nToF2*9!wRQjbMOLi^$HbSLFB>&B-`pPG
z=L80pN6rT;^J=(>oy({?-?mCvgIQMlYR*$}?4&YmPtQ7*j^F<xxxBLuDPkfeM104-
z$!jxu*CAT;w*bSt4BXDv!1npAw=-Y-cL#UId{1xNQdRP!xZy;6hAeO;xtf6totg=n
zQKRvRZSl&|>g=~vo}gtLJiba$*enaG{aQS<zicq5Aql~7`iPg}==gEFi&c!s6Q1An
zJ^!{^5j}l<WRi;-$7PGF82Ri!^C$bMq+4*XicM;}Wi))KLR(tpG}@JNec#*^T6>0$
z?2h9eAb^)c+F2hN1t`EV^)cYrzilsg|CGve=kW6lOOW72#iAI`8eGdNX5De~X<}{J
zAzeV3@`TqD+vZLFJC3Mwgt)r-Lgy0|>wPd`QUAf~*t@7&j3K2YqRsn(E15SVQTXPs
zY?7h#dwQHyT@Dx2)NO;;wscU`E}bvksKlF9v^9?qnEr)W-?IS<Xd)1r8*TSPyptta
zS2f(Byx1_j{PX`anW+C*zfa2gZdQl8Gcl{>95TaLwh7_4yaF`yx2y1p?sksY4+nki
zf=*As13LHgzE>4h)z-Tpnn#Oj){N#oxV)G7$GeWN376320t`FoE3<Pz$ANE212D+W
zZtG{D;ZE|kzFRJH+y4>wdNMG|mH=AclpmKg&?IjjxZYWCYt2XZJy#+Tv<8!&61G0d
zs5Q|fMNB985A1?My~xu3O3G02?$x$nEODuzMT9>i(7!a4SI;T4yXB3Cds!z|%A-)~
z2D`kML-EDSvi7VoI=xm<8_GhAb_IREfPm-6HRXQJA+qFe!D(scmJ}az_b~$lP=s)!
zB+T;Qi-=P!qv0cPFw7YbgdBSdaxQQ5kQFX}ypobbSyP&S`4DtX+8tI!w0*wxQo#Cj
z(2faxeiPhL#G-!R!7Mil2;~HXvM*n*1{wBP&}I^|FVDIJp02g=$YYi-<QfLJr=_nX
zB5*nOxbHdHto!sb9#okFP-4Ey`g9lO3ED(}LU(0!=k<UPAuVEr^l$&oA<fOVJ8Qw7
z`6Z$jQP|y4;j77(%%Tp4^x(3z1;~Y;&apqF7&VvIp-aZ+vg9-6i}pLaKg}ca^^*=j
zCIl_#)D6caq=%vxjOZ|IepUO@>B3vL7iU5dZ9i72H+1aV5*-zTsbZR8EuENYZe&&-
zpWEg$yo=aeD`r*XS{{3+ue2jil$(4y>FCKiODN8OKKr{)pyzatJ-t6=SU#>ZfuDf9
zTKfGG*!r&6Zp-FL^5E30fW%r!&vK0IgP+(jdCG}}Te#L`+|2;wy+7`7d+B&Jo)B^~
z)%(bh@Z?D{*}#nTfs00-*wvwYyUgd^q^At<>(eRk^r+0|pxbwD*nIRNo>NbF81?^1
zxyNtU2dA2K21QFt%Wvn0$OG%!aOCQaKT|B6BAHfta$>qtIKBo=F1Vnm)9Mbp(9P9a
zclZi_<>=XtkBTQxLqdo-LA4VEe_b<?SYoju0+ucZCW2>z(%LDgQ%7v0YgTJ3uddZj
zv>_2W_U?f1KVJ?rToY5&XEt^tJ&@Hza^KsCiaD+S%v7DpkVyDyhCQ<+pbo?*aeB^W
z&vKH)#*a3w2H&LWKwfYg0;%_Y7dj<z2?oJOy2m?-PmWOsB07pi=F7s3p$IUxaTzq|
z+}5W8;5BW2AKZcxbG<0=sNuVly>sp>?}Mjh)<F#uw7@POU$Y$G+uC(a>6OR~KDAEm
zYS+9;6r7V+%;3YV$gQEF5R`;oC7%8;Wi%?PUvcv_hqYEQpKT^+J#0VKQ6-#nu|7rp
zXgFrb5f|cO+h86bGHkg)K-+<+vukf}zJ2^(xA}SQpBpB6=!XT)?W1+hV^!(yiDb(l
zpZA+$XknjVPxJGhe9Q5uWcdqN(+wURz)@qtJ;pDu<HvUFxyi=Gfn7mPP|#tbcQYm_
zg|pEHoT0W+BTe$xjR2)&A^dH5Vz$`+$Dgj`I?G67bw_!$dSryC_d7hsO6I-hXEO-i
z&fH$W(Cy3P!mJbcGd?Eq*=xjQq_}LMB*y0R-~3S%Y;$d9uK4zR)&{LNeq%V-p;-a|
zi?4QcnisFk)BJuUE@(Vpe1<p4xII&`?jKJwFFoGzi<Hm3ywKNHXnjaS6hq7PBS03H
zBTi9yWtEgTsgIA5b-6*s7%q|)W<`3Lf`Z#O&#X@23mQ(5W)yE%mL-!+1Cin;{<8Mm
zrzXA+wQI{8;!S@T7}hmn{^iSbzJEj<*QJ#)-jO|Bg&yA-4zzE%ssynp&4p~qLW{w%
zn%oEP(n;U_b5&ZR_~Z1L@hS@JsB?QjU~JnvsZrm5SIP|VEEZ2~;E*7EcVV21?8`ON
zqoh$fkdng)YT#BP=N85J_Jn?mmdq-NyGijiB6Jqp5AHgJo;vxiG3Q-H9BZlV7~gu4
z`*xqUJYp)b6aE|j;P%|`4qK$Ss?{DPk1`i|Q6V^U@(S2-ILP4fDt89>xKp^vB!jrj
ztayyljRZ$PVl=-5eZ~z$G;F<}w+~aj6YK1sLpn|)!m~&yT4uuaq2nn*7+asKYE2hS
zFgeLCOHJ94lX|e$-jO|5H<{2U9{%4gJGj~yj(O$T%j4H;UF$c5JWhi8&K>)jOg6E`
zGZZ-*TMf0~C*0_V2J<@u$zpHS;)Php5}Wqvs8)v2#j3yNn$b!}U2inkV~XYdhPayI
zeWg6VDc6gQwa`EH1d5*QvcQ#OvM{C6<ggc$?MiiHM%r9^_Na{o-fmY>IzFvg@&5`t
zx=)=soZOwmv=l4|8fKq%jdQ7*gb<hC)WO1u%ibh^{<}b-_z}~&bhkVGYR#hCpyT$q
z_`jw}&glQxFkuc~GWG*eoYn4!%;EjPc9MlA?x<sGr!v^52D-S0P_ZscFh@@FwD#~1
z8P5@lo%i^RhK#xxTOu|e@}P@$cfkPW^K;8g5d-AM%xLdQv`|T>7Z>V1H96-c;P7A5
zZlh10%zF{+Sc<Q=QGfS$knwrD)FYqo6Bf1>uTlgiq;}%-Pp{WG<v&Zj#yV==>^j#r
zH_5&!mmydU$N>MS>);k<XG@fo;Fu!(jhHaXp_f_5K>O0l!KPJ@0)V`QNF5`@=j$5g
z_M-C^^sb|$!Cz;!Lsa3vB2s`aGM-%U6jWh^n|c3S@#Ei%K}C`-v1i)tg^g83%GLy|
z5E|x<YAUPL78PMkAw%f#)&O_1usV6+ou>VnVC;1i!0I_7>UlzX!`CpG_|5drZT_2;
z7Eyb|)D5|1*JAz897)7%Z3gjS>CDh<p*3KdMY(0DOcA95s%JIgpCzuHNztLW+N@8$
z7jC(o$-;aFj3+iB)Qr=eBt!Ns7tb&UvoU;RC~*;VzUWt2k&aBNs2V(7r7I`=@biG1
zKIq<tq;l*HgEYn1+$S^6-FD3#cocbthV*tGUbwAR%0n!9EctxLY2<O`h0lPPm9rgd
zF*O6z?mMMNokwFd?6;r(gJ{MKDfB?$E4h}>q1UEIru$K*5u#(IRcWt>EL`!IL32<?
z^*++}CW3iK0rPnfg0BA+BX(PGY0bCf4cH&Lxt(w2zW(NojD54!9vl%L-|^_ip5Cp+
zw22s->DGM;kPskpRiDB^L&A_CpGqmioF3Q`*4IWPqpOqS`pen^s@7xZF#k~%?i_!-
zMx@#?vaT6)tO*De;T;-C!5&UyV1pJYEFuhWl)Efx4IFNmCtik2Sg4GlD5BjtO=@js
zgpk_b+q8hOHifVeF{Pakgzsyko4ZXx57r^vF0;y{zx3m{MY2xZ!tOm?bZ>(_$(Sc%
zf#iw}Mqr6%ew>}Sr}yJ#Y&_c4PLb-029Ub)%33R_(er`@k2FLl<dzCh$XZG9)THt4
zn|J<A(6{1eOsVN;xxlyWz$3W{=bK6(u-KFNTGpZb_7^*IV?~5Ly~wQ>HXrqP1m1bJ
zk8=v+jO_2AI@e!w(Otj9^&uAeafZuAEUZODAbGxVIYEde5<y{<X79$g>@R+MJ|Fu%
zp7u?`ziGWcmvWwvs&k!^z%Fy13d$w;o^8}z%}zQ+O(9>yL3DG~0CSR2ji~2A_xJQ~
zMst0+%m;#b4JT3L<9L;r6(8RJ9MTfDSS*=lHXJ*bSFugmu|HkN%iBKUEtozCCmb;t
z4tty(!66K~fge9w8SJ3Lgt@K0h@RtTK)YeCTx`B)q>X>hBcLpO(78CH1hTp0{QB=Q
z*x)6Gfn{*|jOVj?rTm2w*_|z&-cETN+n3GfC}(6JvMBXF)##0)n&}S~3tjW_?|Wor
z`Q{H^8zC7#A6=iZa@Rj)rQvjO3|uIwH-?%$EnMVIkz-WhYVR3~TMZMr&?VQ4pbjsS
zoWP{^Ia^1^m4plnfJIQJ-BC&82^5~%CW(GPW#|8Xd%D%2k#RDo?M`rF6`#!4?BI2j
z*Z*XaB}csk2bn5k<F5X7k8EnE{B1~y&mpp}ug^F87E8%EtszB7`x*{6VU6B(_VQK4
z>adT-%o+$&!=!T=^?Vq^AX9nkK{qQ2(!n`-O7z<Otx{ao<$ZI9-zvV;n3WP**?UJ}
z$fDf$xJA&^Kc36f1i^!Gv^=?2>Rc~#F<Z+blgfN(rpEyyYqJR%+q`#NanRt0X|aoL
z?0;ITi9rM$x8Pw=&U+KoE*zrXr<7&r04*-|K4y5gdQG-NoIQbcz?ld%i<q=en45PD
ztstPri`Z=j$F}*uui0Jvw|_7Svc@j4K;?WcWno;*CKM$O@5b(hr(AzGfUi?wL|jA&
z$LaRbrUE+5oS_M`>0i-B=gNmY{aml;u00=)mvsXtw_}sAta@H<t6!mjEsJVBv5uN_
z*FQ7f_<6{tGC$$Wbte5k3xAT&@~t%-Yr99YzR@QAzaO2=0auSP$HaHxP?e>hLJN<3
zL%cIIL_}Pt5Xrd4F0=A|G&ByEnRF6K4_xf(u`O@Ij2h48l`W$Wwj{^y)L~tyRs=Zw
z-s`T@A%vGo_hlbfW*4D+`8Kg9)M>W1TTLA?fmp#WUvUp=kmkD1OfKd9$YVd>5KBRc
z8LnS0pWAVVZ!Ac=V|u?yhK-W_6P2CIk)Fq!66T08owiL@UC+|7Pdq%lqj{07U;vI4
zj`n=g8NcmoN2sZ2iN-8Yr16@Tt8-8c1TDTzPYDp{M_yIiBPTmVb8i~BJ8`|Z2j?Nc
zJ-u4jJ-wH^ac675`~vTXf^DjQ5_Hw)@$$ElwOD$FM%+HqD8ajzWXdm!Db3-pwWh3b
ztkFPN5Wf{wB`1<1Lvj&V;xcG-{I6BX;YGw|M*~pkh!ZIE9T*Ome_noUyLNX^ui3z0
z%K+u`>^BMX<9m8xdwQ=GkLe$cQ*>vwy#pIZoXchHyRUHYjcxA0x$L#<RDm^UHv(+C
zU>W=Dz7G5B#!^tRtaB&YZ9XL-k2gmu*;-1i4ZWOt!m(fmah-#UaNc6AN_({}(T^rQ
zfz6wjdWz<t(<np6PcmhOUqG_=mnHo>c7w}_3q%`w3XF3S*Lf1syKM=#KpE_IIN$yI
z7Bl0kImzIM2;`V*4NnEYc5f}f#U}w<mwVgY%%Xa7W#xVKd3n}0i^>Mva?8wk{V9O`
zE0kh3Z{NBZIoy||o;x>Vr1+qw_6`hfolj%m`Y;!<ozDU(oDLcf#9deE$WH=A!Pzyu
z=8H$o4%ipg&$^-EAS#)i(j8gg)}qZ0ON+LMXT~d(sE`~MLg=-K0Ap{r2Uv~3|Bu<8
z|2yk<0N-aRQ9veamBw#$b=!Fncm_gcD#bR8eRoMVK$*G$gc_${C@PCofyyd+smpJ2
z4=R>Yx{namYjP-zOC70$v{|@mOAT)m-I5?@^AyJJ&En4HdNoP@``S<{8r2yGjr}46
z5SU^P8h|CEq{Phj%;w#1IHVdf910Hs+#%kAe?Xiux~i~rZCpf!(E;f=8q~5&>1gBD
zJ6x`+9pILR;dR)mHw;MF&$`Wo%wOcdwh{Ub+>0uA+OhU9OT!oQ?VRMas*@>_qM>|w
z-69CAh2L_Kj+MuV|G|B5+`a#17lPMDp*uEYMt>A@wuT=q9uz0<?@ciyluc=l$YeE+
z`LarqD6113m5ivsLM_zKj13a*K2seDK-}$1%>I@|C6?I}ILThE4BtVe=qNN)=ha#O
zOif-OD(7p%8XoLgtkC6Wal!Y>35XsZQUtv(Z)nn8uy=PsnEo_L(OTFY$+r_VcAe%k
z0xB9&cv|R~7$$M<_w+Q`RtBl!zFL`|U*<<0rQ9l5wof>pX^VY9^ZPm>jMZy8cHA+0
z_|hr~7WHOl_fWmL!h+Apy%bckT<6n_=T{DP<QX(+8q83#K=_WS&ICDt)I31to3Ny~
zP@SmL&W(g|_+#%K(&gb_o=yzf9BC`Q0dX5mthGMfl8eg7+8~6ln%^Mg)>|fw;K1u8
zcjq=8he`I#x1l`H>-n<)c-9Ba2=U!AFV&iuS{nW|dxk=;SA`L1S$|G~$g-z7^;Jvq
z2sLjh$=WWe`Zf_7l?RMKC8z3Kibt{hDc#PKL9?8cS;}Izh3A-qKOu{vLyqluc{xat
zgZfTSR9=L}oXH|(5reap$C_@>?1+MK4>^h_V}zaZTZRjES;seqJ>O6ow`T>m@`~3J
z2RJYg-#)w~bi@F3Zh#N{E06kLo$4FEAy3b}T@<`+S!DWQDW$J}-IA*L_?(9I)}nEJ
zx|Q)USIT6;k-E*^W!%}#T_eVG4}Kh8w|*Zn+;D+lg|qoG07*c$zl~Z=gldw&YSHYO
z>s0tdBdT5TCcAP^@4Q`^?E=uZE;sHY?#t+C?{^Hc?sU~$`)})$EKO_!Di~fB#Kp48
z#>Ja!#Kr6yVMohug0R=9Wk(`eP{04_Mxj-^8#?P@8<@`>F%M)XccNr$D^2aB{CSG0
zlM@tJ0LyKjV;WV{LJs_}8zhI_W#u)f%0|{P{$m!{k}Ua#bV<LQih0R-;DbKs%PkG;
z%>usO?w;eQhEL{hJ~==3f*bYtpDLYssE0s5N6~tD+X>8a5h2YaVRz@#>$p|gP7DeX
z_m_Ft7L8mp;;1>K^))E5Y9@gaV_PrcAG8@5KMDwZwhwu}TLRb2c~EZ)Uu!uL@|*Io
z?PgrGbBvfT#z&iiJ`^7WF;0`kK5+k04G9r_c9GF2^#D|jzwx09>smZR-fqCdW7qKd
z@DJ<_S<KWfd#6Y<>F;Z^=Tf7$;t-(%2Iw`Xi}G(CSbQg%IOo#olNQ<&;rY#;-e*z)
z=PH##ZNd)n`>5aZ6(y&$Fu2hThMgGO9Vm9jOlhjhYoleCbi*-mgLb@J|Ci~}j?J%f
zkrdCXnS{wV;-{R205kE&5q6m3h17`HPWP8b-IN3Kz3Sl&A_+z9!=)u$BLAa~$Yf71
ze8WM%kwFCv!mlsxlI9-3`ZFwur^L*4u?|)6M<sqw&zyWTF(;!<%d~@vj1kcg{lV|v
zKeMRc!=*pJzGy)jCA`lUX4B+N2EJ`w@`Up;H5Ql{Es6Ub&uoE1bg9+N(2CYeO)Z#P
zWs>Y&h(83qa8}iI_;5=a#-~;MnXIp}+*`u%<U<$2<q2T=)8JiKR)U!F^gy%DwQ$+~
z<AhY_p<8LdPZO19gLU+JVBrku4ms)O+fgVY0!svxAHh<vzm_AkJVPbV&FATY4pJ_7
zqX<sjH^}68CNK8}x~=f`QeyTTInuPFeoT@h423FQv(E}9hJ4)Ms-=1H_(oMPU_ymT
ztekcknD#AK*<9+anf4wR<Afq}1NUyiBijYk&XMPd!YP75VedWp=u|yC%{nq2V;5FD
zRa>5267oB#aAMOIwHQQs?ZFCj$TLmik%{rl=P977J-v_E%A93r@I=<enY_)z%h@%^
zyRHKIayGM4>;ejxeWS}6R2fNq($GTTVm)!31oI)xZl}m!o{ymj=2y=Nj@UIO@GBS$
zfj}PW7~<mPLI>Cx<Z8FL+0@i><0x!PM^9{lqa5&OcQAIkuMcsbP*}`Bkx7FYl|Muv
zqOtWmO{Q7Y@jf`%6J%{qGKZIT#pr|^ELTAj;(B8$gaSjW_7Qx9z5nQlxP$m`u}0Wt
zL~M34FxX}+7Uu=!=Z{)5$aiMG{f{h>E#v3(c~!LE`jmrP!(iMfBk7E)il|Jj32l{`
zBCc=EwXa<3_rKoQoXtcI0ADh629KM^>ptmAo0f^EU$IQv<%YGW%63sm8PoYT2~)6g
zNC{REMrQLr-h4}as$aOL*T<kPw-!-y=~48S+%(>X{A|mcb(dECxDQXf)bOJH?y({u
zc!!N0)vm49_@h#y^sb}i9owv(t8bpEWc+<QBp|FQ&$DE4x2-RHv)iVrlM&`MYMpw0
zb~8;-vY={~sIsMfRJ0Zegzv+Vn>F7MgH`nX3r1~RHfmgUbf(0fgeC~B_doA;#v6as
z`^)~<OZo?^UaLKkUR2Yr`^bQEnjk)Xm3KO;B$Ht(tZs4ytLSz&(W^~}D{QIM<H%p?
zx~k^gXzp$nK=TI>YkTn#XN_nOyr+k%PJzx&w6pRRj2Nuqa^$H?^_$rZjgDeFzO99A
z|Al|1#Mpc9jYT>Cnh|D-Es}L^dlgiI*RQh8pDr)Rg*_*5$K<%M*g9Fi&p{pl{#hU%
zOMzA8*|pH^by<6QmV&7FO4ioC#tdY@1EH)Lb-{5Z8jkKeD$XPaW+q?T1XOk^zwIw{
zm^vK@C>{hqy;PdQ6{l=mIr{5*t>2XtjXU_rPyBh!&g~uka4XP5d+t1`#NMVOz(lD%
zccYJtF&eZ3q9cNNlMX{&y+P{E-LG7Ob!pFI7VD8V3fIos3Q9NVvE0%z2#8^BEG2Ts
zCC}p_tr3AwLBBfPU~sN`K*qe2fO#J9rn9LV4dIYSNE+Z1#FiPRloJ>C-Mr^;uWeH~
z1y5n-4}^7GEzPkl*1p9%CRGjUpqT>0VXgtS^|R40&g=c|K=6j(=s4|y;J|Q#0P2^}
zyAUbVHXErsRA)58376G~Y2^*Ha($mxFp;BLYG8)3(+H}A`X|*2Q%z9=PVAWTtDy<Y
zX;&GK`vy`ci3@>ANF%q^N7A7k>fkB1wf`)qtNoLl-S>-^^6cP0N-4Hotd-#Sa&ra%
zt@KtVLKkl1UQhPr3HoZvK@vLZp@bGVnxt&WlMM{i&h6=W0QqSKXB}IQJnr%-Sa3!F
zTB(4x`;>ghBM(6=$}zQSF2-?{wi2&%?&2V_1^R>jA;wnd`n3E3^`<&FrlGuHW}}Go
z7GjzI>>tdD{I&W|1u$vrU$1e?(f3VaxF<_nfOj7D79@tXgle4T+O@B_#pCSaJ-u&W
z;hF%w{$EnJHycfqDfBC3Dp!|ZZod!L!x11~8(zjx0`GwN7=;OnhFq?sq(D>KiHf7n
zjf)W?qmI_`Taakzhvs#W6CD|9M+t{SzGZc0S=L{6k8!#)b(GJ-8Y+cnLaaR_u%z)z
z<vt7s|Bz60H6?NREo7(=67A!0L%=PxvJdENi=o3X4tA1u3B&6i1rUu_o(B0I;UYpB
zd~HUBTe)ApGC2eCwH-Z1SGxz*5oK(bJ-q;tJrP#tA%tP$N`~^3=5q8n@u?gdy-Qu+
zk$cYgYDKJd8Z47VXDy~8syE!t17ULenjr5xfwbdl=k?&cjiC}}m_IAOYK<h--M@Q%
zF{ycD-D=b0eU~64-c#hj{W4V)Rx8ZjmTG+;(D3n$03$h+lfBauZ7!dobfhgXBO?mm
z8#D6_QPym;4$upKlBi=)PS>gx{(?bxA;kPa*XN1X)`}PUYA9?V<}-Db;%sQlFi%xZ
zT(HwRs-`Q%Wy`Jax1`)ad%8p=0fS;|3GWX<>U^NZoNy(>n{&Eyy*P9xAdcxyk;kvL
zULEq6G!C6xngMFSO>ELopt>{Y(JNi27(csqfn?X5z)FCy%gBae-VUI-&4@&ChZgA6
zY$OMGAX0VYTx|a!qM<pU#>6S?!@_9g33a_?EZqB-IaxZHpPJkwK#Ri~VT4M4Z<`_W
zmIG&uI0fPP`UJQ4)_N>Rpg6Zx!9*Xm&}g_d(bHpcF|sPtc`d}{(1hIL>!A_{Pmo1G
zCYlEt<r5#|t!`fU?%!|Ybqjp{>peZY5ypLpA^>#&05*LLFsvqRKp#tMKqhKyveQio
z6-I1`wuD<E&kA9dh786JOFjmmCO3=dzf9fU_O)ldT?F&4w$FB;LR-y?2R1QTAXh56
z7_zp&1pSFwE=xpyDzb1bx#r^3;O|bahdkU!UUN!VkMhOE;oV<`;gD5YpCdM}74ArW
zxr|JTf;H#*HpD<hZz@Xzf@9B|gdTNge({@#>W5#A@Vt&ZX58PPJcw_8F+Z}*ur62A
zb0T&R)D2lCFrhD&A;p@VEwR0-AAH?A!>LczOYn{Yj|tdAuzi%7O)Uk5Jx=CyHgV!H
zgbztJw`M5BqnBr_?BWTv;M1V1!?vb;8~Pv1Z`jzPt%o*8NdHuvLGNGM#?7sssS18b
z*;W^LKY>uYn%gebdJ6YJaADk6X=a1Dk>eC-(gyX%?U=46tnodgZ;zLzPRA`)4Ej9W
zj*Cpc;C`DBk}$W4z<uAZCduU<TpbX2EEBhO)i?igm^Er03NmVon9HdL)V~rexWRUk
z{4hdNy*)AVE-Fna9&7g-FL7|!aBexr;|ys{mG>yHtL6Wxi}2LKj_1@|*P$K%#a6Wi
zPTB?%&%1ez(YwPQ!@%lQu|%oaJ&>SuA!fBh11i>sjz&Z~1T0@)FsL_&9G>Gi`a`ZN
zcs?D=uFfO4^qI%PTI?t0u46Us-Tp1MM?tH#b<LW*uPC&41nFT1$(D$fiCXRQPQB=|
zjm)tvm?S+aH!vn9=zVYS*dxDa32g)aL8`LtVXg334tCpMET$HDLVIetkNo}4(`y_w
ziY(dzud=)I>!i6p^Av;=QT;S&6&K#zG%^h(`(EJ0ZJ`g=52*$7%3vFdR(`Y@sGR`!
zQ7KGgY-(n+84u<*-SXmqMw{mJ;*_|)N*kH%MVF(H;mT|<T#lS@nx&kXV_&|(MC@~c
zfmv7J_?=+L@u!fbp!z@b|LdIlE{K;03VGDcOS9g$s_^+%>cxzD!Oaf4bD7L%8P+%D
zXk4~(AS~?e&}?9_fNe#v?9rIhs_<mjpnS;h0@JG)XSP1l`$y$duSf3bolBjvv2AGa
zb{o3ohn*O5?-Ex}(B@w2o{+ue$YA?OR2D!is0B?ts9=}vs6B%MOJwco`5<K!ghUQF
zzOJMROmq4;8;VoWkjgn1=!UR*6*Q=ICM79vrJ3ipP;{}5($db9>2Sr>bfexsO9e8w
zx|enC{K&*}$|%2wm$%x4K4-fE%xUfpPN(w}E(|720(2vxT-b%qPvMKc<%Deh{3GTx
zgdZYIr{DK-T7E6;$AaGZI@AW^w8rV(m~8TO(j8?i6CuPl&Y|{kKLrNlOykm7;Kb;1
z(#4FydWZVu69Ps{sCuVlY~mChf+TdT<sm@|>>YOg;I|DAyhU@9EaGDW1LM2SI=NNp
z+jQ4Irw1iYHQ+t()g2UT_dOAoTQ=n|t$?5IatnNkt*v#C2JxI5iLii4`{>LGatz*z
z(CGc;Y<GhX*v{I%{y@{lZoMDgz4!vjhJ@g~*yNXF^X`rn^94+5(}HoIAsc5zyWSW!
z{?!xRsqdB#x$PUW>nwVcW1ee`WK9IDo?8z^HR1g7&5%`iY;`ZC?98%I37Rn^MFiM^
zw5%;z<i`O~fxj$b?-(hI!yfC{yrNQbSc&U58+F#Ug+w<Z2xv2S4LuUQ=xR_n)e(@6
z9`UNIomnJQW^>ybey!mevr}kdw7&ms@%a2%muBOBN>gPu8EowX6}QFXBXXb44H>cv
zW-deot0<R>p(f0k%}eb?t>qOndwR|#fB53xd6VPLAJG*mX#St<<Vx_Plm<%r+$om1
z2ktxO?2B2J`PO-=TMzFiZu$BR&PB`-N#dcN@p=H<HxRPq05B8b-qe2udeS*TlCr@b
z;z)EIzW3|blajcYGjqi=(;Z%4uhQD}ZOX@`ox`40BSS0ksfY-XP@pLZI^6O#r)2nK
z9LoxtZ&sn$h#s!gJ{dOP73YNzg8@~`=5R%X;-i24jWhY+{jpsGn?I-9TzT_aVcMAv
zdyyg_BBg{+`sWEY&Bx=G-X#c$CzJ`Sd^0L(fksjcy(?8NDnj!Nba$^0%!5hk1XoOx
z2lSRKCE$Ec5&)RF(UPCh;P5dh?!e;uEy#2q{J3(BFrwTfp8;HwslV~)y{~Wze<OZ8
z&1B71$rDir++Cz@pa^Tvos0>Qa`(ug^qSl=g3y@1PHM9zn{TrIUJ3I5@9SSEV>>p_
zRE3saS>7y(hy{w!bv=kPl39`+k46y>cW2ASxfae1r$cMAR#!OzowTMziE<jg_=uB}
zpvaJY6;re-{TxzCk9r0b^p3NkER3A)bxa}aDWFW^Ka2JmkTlwoV82|gCu0TaOBI8Q
zTycKz?Yx8avpOugpPh^<=(V~}o)Jw5s1>0j=JFC}`=i(oQF&2MUvmR;Qb3Cx9$fLY
zdujExAmdZmCd7d<^xY-s4#-U@DM?p&3Xxl00)xxLwjDw1mgsR-RBhN0>^2_OaOj@y
zHQldx%?$x>)l9xwc|0WS9wC<jo~@T#IB#|afnjcEBGgrwXEIviT*qbT=$1)y<sb2m
zI~XJ@!f^N{;UkqtN+|wcK69;{%U;PsPtCdKdU;OesZFm5$GOp;U2kN>#6Sio)*uvU
zxqf2iyZXd{PEtTc<KzL;mun2{8lui|92u_FFPa_-1m9cQX{e<I%HvDTj)cT*SG0Pl
znGc7e`wf2?W#o5mHZfNm^ns<Xq-R|;jF1rhO-p)#a0`JmTw~%48L`&B&M;86$l|h)
z+K&)8*o9cx-T1pIk;3$VzfRv~WmoM)w>V*D7U(wfj>&cBDdZtt78Pei0%rJdcBbpA
zhssdS8lSv9J)?S`ljIWratg%Aayn)xA*OwHbjtQ0h`&IO0|i0J=LDBZB!FMA6aQ${
z`o}Y0r#E~wzMauIoEGfjc%D8TRhn7r*=>4d9RvR=scvoQ?OY9i1hHc*Kem6<h^SBw
z#iQY|x9dcIzwR#$Huj_1Gdxhi@={Fu%z+9{@=aCj>9qVf-}usO?L`H~_eVHxYACm~
zdkcz#hD9Tzeemy^;sR^K`pC^~B^J3TP3k#;_34S!^W+5<;w68B4)YJ&(}NW)TSisv
zIA1D_8CqxLS9v?$V7;3poeJR;x_I1RVhxwejUvPCj9FNt%Yn@Za0jsoAsST46S(l+
z=6_}Xs<LV9N>!v+9v*)5CVU7bnl^PmlbAa70UR0a!u7u~<TBLO1QKdfQ%vlkVjdFG
zKI0SB;!zls;d*eq7VHrHy_nTQC_@26Z@9$zlWn<CbR;u%IdKl>SAUue%2d*=H46Vp
zN3_Y-i@f5y-Zsl^7<|#<?e;*}QRly@@EU9uVfa>Msr5K{isz*67B9%((tq8A<WB7j
z7#}Kslq1?CArvW{QYcGSvq{X#-p&}hxVFlStWJ%E{>1=DnyM<&iNi5LIt+>OoQLnG
zVmKqyAn#_(o%z(zseAw&kmR&#_9%OK&Fv}pr0w_ikt&+V@Kj6+$S&v$)q%j|sBc&^
zr83QQl0VR9JYu0`Fw(?lq#-QMocuN+?zW~>IGJ*zMjP@X9vYhF)+flrp_YR7^d9FL
z7E*J)Dv3JYU-+b(%CRAF`;vX+)j8`b`{PufCz40s3i?r%;jZECaqYXnOJ!}wOo&@=
z3u2b?u^>PNe{Wpp+wP|Sm66orWk}qiO=izSoQxff1lphnTN8x#;K}%i=wIOllPTF?
z{?~uy{U~t7kUwN7LS(+20LHdNU>hG&niIG@XG-k5aGJG^Hg^r^ugE(9Y1(n0q|<aE
z6+_g%VgG;`SN}9DW79NY-{iCr>bFjG$&G5}dMSl0%R4s(Rhy5UyzR%mPc2z_^8EF)
z7cHK&2aJ;Y*4+uKrZ}V9nm*<lACJt*$(ix-2(@*Rl3@@}YDq8TNss}ysJF!C;kCbu
zshQ|+=GCi8Zi_Un81RO8=19#+@v-_eyuz#ik7|=hT!#i@*@W*qsC9DVRk=ixn^Ugq
zCt;8HFJ<`P-5Hzb(rA7muZ#T@01}}s(hE%kE$$3Qnb!(9XjsJc))QJ3zm8%KtMx=^
zTvUq4?kzXR#MeW>s-auncKa8dt9fSyEal<dHjg$MJp+>OqSm=;tCfE;_ok=!dvF#(
zlhi0#Q${Mxi9>H<b%YOx-P(CJ@h!1^W!7Dk4o4>5@$I*a)15TJph_F4H?XJoo&b!?
zq#lNed*8Hp<FlihnYx}^f))@xyRIi&fE(|NHeoi__!=B*^@b%#i14Q)2uO=Ze#==|
z)?a2=l;gzXo6cv>y`Fd5p7}b6p{@j)>9o)Uac@*^4+oIw%8qV|i;Ds-a!rSm1od++
zYLAfSUs&qAhqDhl*Kf!joeC>?B@q6CDmAlsfkm;9D?>Z!y4f`*^7>3(-VU>C+}591
zicb=aO}3o9f{xeSdbxog*0&sY@HI9ufk&P&hYp5WgDdCd-pgoLqT!~SJzK3K!$La&
z3G-|NV$<b$Mo)>0ed*VnTMk|tr{L<8eO5Ei#9CZj!v|zF;;F2gRTMZV&^}zF(OTPT
z-FNo%F4pJ<U9%N87uRY)UiqI83$y&P4zI$XiNR;Cac_N^Ev~kO7qzg2koEyJ1sQOT
z9GH7YaiMK)WWEiy#;At94Kp?$nlDLIY=q{PGLCP!yQ8%(Zl)p|bn7(g=`z^na8o?P
zLpnXR<slSxYbmau?|a$_R-)$#(edVeNDziGm9R^!U>GX^C?F7EM0`lq-u23zS$+}#
zLFcVw9$;whDTy)6h7Tj+`s*w9jkl@5+HBw2!!ZtC6%_J3>)qH@a7T@}O%|jCgc^&=
zHjt@&94r-FA&<SS+*uKvdId5yfjQm0O<Z3|pI)0+HZ(ir`g&-zaU>lOIwl&Q85c~C
zPV9qiN&)VK$PEzLnKsM5%JAxZ8XQaA_bCAZKrU;@ku|;B{R7Z9Q>W|xhsR-<gk9Ot
z7wd<(hHZQ(b$I`Y+y|)(kKysALoTjSC|aUd+ErFt8PA0|1l7bf%FDDTCrMFtxnEzc
z$<14IG(dVUTJ(-B9j>Jr+Y@kj9qUhRTYh-$!Awp9-*Z@DNOp{jB$$`kxjVjvaufmi
z;LBl#WGVZ;?R3<Lm+w{RwL24>#uqoE#dGc}E_-?fQnx!#xOGkmun@{lCpDf;EQ6Jt
z=GKN*Lrd&!5$4e0bnpuGy`}V+Z3k3u!K`jiFU%}vHpea?Pj<i^O>h2nEwd#6WPK4|
z8GVRKY%VlZCp9MZ0>ZU-;CB8izveE`MJ`vAf16M#erJbU2KeJuMa1Tt)x_p^dY>)o
zs@w-{d5s$q^ung>akf3DzHI4jzMFQ}f<l-h&|_25B2k*<RGrrIeCh=z#CbVlRAkhD
zvH$aK@clKqV;iYo_mDL=2f%&`eWSvfuiRMl309gnX=oigijTS~WB471Y3Y3%3+x#X
z_+G)lf@pMX-Z?EEzO=lulnAK>o#@F<c?*qW`66QbYPuZf8}Xi+cXA;_XdPMX(!i!Q
zIu;R%#NNT+&Zl!+boJ^D7S1RlRMQqiPmLKuD~<30IkqlDrLgxK7$^{CFw@H(FNuAF
z#=n8iAbIvec?vj;-S*0Ch3~JV;sQx!i2O2kS*p_1sD3@tWDOLog`v9I0-*s1qc7`z
z{58X2Fv!l@yY*lbB?f}T=g>k3FJ^1}kn;kf)N$=Zo0j}`NjQ>tC9*5N0C2h7BoNYj
zb*Cq|Gq7A1zukLY^G*k`&aZDN1MmSm*>hwj?B1&h9{s^dSn*`MV`0o)Ct>PxtXl0D
zupQ>`S-6Ywp_$PYIJ|NZh03?TiN3!Gqob>2%9lH7Jp-Z%CdDV3M$bx@M8`U5Myu06
zu9S@{j~s{n_VnJ*{j;R&s-on3m8Frx!MmEOe$setu6>?yjM!0P;vNXh`pWEFprXON
zEn@emlH4NuL8K@GZcqQ$*){qWz^|e!B{}+l1V#j{5-l#^AhU4Lm2ZbgHFSbjGIaCy
zo?e>w#;u<wg>UMDoPMHWZAN=&n2T#yW_k-)ACO^*XB&D&e@d50<JL3l_w){b`O~VS
zx$jbM*lL=vh8{hjoW8~io9mRM1@Y(HTfVN|)~eyhU7zx;;j<R`<-I?a#H3Sc=hV2&
z(z3*=`dXgacKn|#!uYqP4<iOf?Ia43!U>lRwWG*ru!H|uA~cS9Q}?d@u>*fu=%b>;
zqA{}7=Vvy2gExE<YYXw9aqeJ{zijG_1w3YR?kPvQIpp=>&X#Oe4RG3`g`WWhX<-Xw
zWDGOl@XuFkG8j%<<qF317mLwX+>-E<Lj$o)%Cn3MEm`74H2m07YIbaU5hD=z$5tP|
z;JjvukdF&o&6ctYKREME{?|IfgYK-B4CSn}ou+msaKEY;r&HXMoa|vBo=d^5!{jfV
z)bpu9KAU|=ej8Rl=*1B^xMyPtg}7xTh)yr?WsiAf((@a=d_L9&h^i$`NmH#IAN!$t
zbYhczXUC;LBgUQuQ==<(gS=tWc8<B-tQF97+YL^M(ctM$r#U>zeG%pUi?lKI8mI8n
zh-$~{EQH7+AjeTSMz;?qF8dfO{xIN@-W7c@b1l`(=P){iXI_fsvR5ahTb?_n<@U?&
zT8ESN(74H27!>3py@QfBiyRQyVN=ifoeuYBJ#ZM-i)61#s!bzy*E4iC1ijPjR0uKb
ziRE)6IH=V`2(z+oOL$N5QAsGZg+F3Md=Rs54O`xIzQ;hMZM(bs4*0Htza+b%r7qdp
zE?w@ZBI6w#T+3c9Y-Hs40N@|)=~?y^cd0T}3KPdz7QCH5Vm>!cy_X81{-^|3vJjyg
zbO`-+s+p_ZV$v?_N;<j~{MG%AR8U-#&J%2{)sz5B<7C}2mD}xjkFB1m$m@8!;K~k<
zLCb_~aNDoz@1}|%P^`mUB}lZGX_6erbXs4RB<9$`P3O49stz-aQ|La5XjI;4goD1W
z8niFcm6OVBK6(mS8m#}r-*<EVf8W&q9pN6&FRrQQ5QI@tP#zAy8JcbgaGh8LUGHH1
zc|&T)MJ_B(moT5EMjVfOG4r$y*b{LMnMrvnPYSuRIE<h5XuHGQH-r;Z${FCDIr3R<
zbB$+EAdG`lvx#l!e4o>l7PXS@r4(anTc?+NfoVV+T(gJ4Pb{8!RDN?B!@c)|v2RMw
z6G_~g5aI(hokma>Fnk9gL(m&lY^;dkd41-(tbSM08lM=IR1I5t+l0nDfh$!9kJ$Dm
zRWBv^0xqlS>DH5OxuP6sYQ`gB$MkF0-Otw$IbJqaDRb>ImZXv#IVNBXES?)+E=Lq&
zzDf53W}pvcYwO&%L)-a6GsZm`uu7837k|yZ|2#&4J90<H6;iuMP$mp}SbDFD`g_N#
zQV#{Msx;TX&^Ia_4Y<9O<a%KD56a_q;N3`>2}tN}j{3S~ILI$_S8f;Cr6xk7jZDU}
zgYpZOf_#l_`%*oo>I>lbo)cYOb6B~7TN|XoOsHL4i1sp3&T&e51(#7-)i-Kq@KwGy
zZ!G!To=@F~3z=EsVExQMKS*QkjZ3{`NA~m%Otku+(<aX1y;KbUw_q2i;Ch##(X{^C
z+md4)4%AD%wVCx1RnIlt;7m8-l-ZG{$S6bzmUFY8@KQowPsh5J#ZhzhgZK1;(BUKn
zfbbk#$&9v4J9~qkOnD-tw)`)3g8c_$z0cwP=Yw%{%rS_*I;i;h=+`T>#oJ3O*m(^q
zv(!`F=<1fs*mdPe&%&eXJ!7k(&I}9DvC^C~!6P^Ou+DiXeB1gf?<?j}quW{bWemZo
z%QF}$1%Hw{CT+LZ<oSKD7+svj4d)iq8P4l54d`W@S^u8icVfZ~LH&d-ZS46F_0~rJ
zLw=20v!*3Kr#Mf{E0(U&v~swl)$Hq?sZDZXz>UN_H5K3F5&*okt%wU9{4KM3P7hH0
zx<-FrV2C-f>g@+Ub*~r010Q*klJ`=?t%(_NZN<M#m^p02X1M@8GV6B{OHKUk-(~n+
z$~f|#WTCulPMxwepg9kvqkC^l6!E=0A#UOq@bnfcY&~TCbhKFz@4EVL`lEc?y!tfW
z*p49&#gV&CPDqkxXDB`A_w;VQ*&LZiJ;;0Va%DM|0!<PqYjX0Qc3ZKH27<o*Kkuae
zFD!P>On@qN%>+^M(ESkIaNMQ3BWl>w9L7vtw+JmYlO2JZd((34#R5)b1{WmG1ZYb5
zl$1rp-JWMF-_GU+NgUJpE6~Bi4v)qdQD}@5epDQ1q`tgW8wAb51(B?rSBa>#IF?c4
ziFFLp&#!!p`*0`$3SUeN>4${DKlH9cjWy6yXW5`prEXiG4alwR5}8ZjA)`f?qvFus
zS4J>aXGW`2z}5R`Gc{NvH*Q?aUfT!AoBs}pck;6}5R@P=&HJOFq>REZ5@wKhM6|aV
zeqYYwAbq_~1}56PhDN)xZW_}r0_4zY=HofmxO^FOR??p@+VJ~2-3PRyi+dgdEn4r0
zLjOgkPQ5Nk&052;-g_aXsNG7}#i-9?hhUxy)E;tK%4k(67^^b=amk#$+EbO;4S$jx
z)*%R3uiDc)*lQr7&5zJ&$*BkdTKjn{A9tN`WCrx%XW>ai`_g<eK4mmm7dq6h^;qz}
z7PH7`oYl1z^}Sq0W(dbP8{pn!le~#ye(K`N>otmMGdZw1vNJVzi)Zc5I9>Hr{OmcR
z{80}2K;^_T254Jci_aHlxLy|KGF+RJA(W>ehd;^_Zmw&jf)0k*gQqkBz!9jY@{m;7
zsQ0yj46Lyk#u!!gbau#N3S&aO+CP+HI))2#z<$!~v~rE(AG+)0+rz%hQAUg_gdxZO
zDj1G&H0li8%~YXa3I7}Okv`iA88tg{^^M>w+*mDRoZwKoa&TDR@6IHe7uD*Sde=Q8
zEqIKTBcCw}C)za_MGSmXCs_(=+7MZt?UqjJFppwYOo9NB4anU+Q|{xostPTz%(8mW
zd*1HF5_1{5*pVQe;3BSxEW#am&SzrS=zU=FXrBas8md`?&{2SWDlG13Tz1*N9vpbM
z+<U79cvbh7u(;2NjevFQy7D9T-qSw&o^+*v&seD+c4Lz$&6U-vbx8w7d4uKBxGeU}
zA`;qJ@p1>eQ`d->;yg?yr8_cgM>u7fIY8j%dXSGPg69*Swi>Q*GPC^Tru-<HvTYGG
zF*g!<)s~3Nzo?QO9v>k$fA5mbKw>Z!5PVl;{*O|(my{~v4hJ~^@}brW`k}uAnKxsN
zyN;)dKOc9j;CretBFf2RoK3rYNj3Gmume_uDO1Dsd7k%1`SWKpZQa(FV6*Q8LVV+E
zu9uvP=tW#7K}YxWzOnZg(5~|r9Y}9Js>1*?Wp#^70W+>&u8XKRXbk2_$_Cf9VTw(F
zSF1NR2@X`|Q?PbTNV)TK1TPV<pp*p1bO)v6Z;vKkL4=IyA9#{_L!t!v8jPJNcb-Q;
zt5_ah!<Cmq?aMnlF6{~m>gITD&F+rb5tSTy#O}e-y7An@Jo>c~V>!$dA|96~`BuLg
zf;m9%427?;%Kd-p7ukCOR7m5^40$$DUMwKS{&A+GTfyt9%>|MgS`q$-fQ2C`9wX+L
zn6t#ZYMEP&uzjY#n7p;(7tAXk1du7v1$uHtQ8&kCEoC{Vk(}=%Ibt$Gv5m^*87~c2
zO-m@LLHeL*YYWhKQ$?#ojl)Xnwx4-Dw)%Fz%Mb{9eaQE0AGs2lvrTaG`FR$B{mRnz
z*}K72Xt3B_1z(uW8;NH&7(VEtwDGMO*)Az_T+F@;-_%q))Dilw52k#U^{0$;8Ciih
z*CrkFOz%EgkZ6e(JkZUw2-j`jPnr`zON7MnO>*dt{DhVqNLaeZELq9i*c^*QVK=?)
zmM)+oB1_d(eS;bGCq%2BS?yf(=}0MUUN9t4=1yf!a1$h~3$FqoKTIz-PCu_zl<cTz
zzlnOj_meJX_lG6S6%PmAF=i7-vQ%$Tw{=cg2P{#VD50!`m#-z8t2dbW=rMMEyewN;
zNqgQ++Iep&`b(8p4rE+LhNoNFl}l~iU8GYDz|s5yL9bN_#4IOUwExI^C|iLxQSUma
z<<~WTRos0FDSq|ORLc0D)(6o~JUj`A{@`xZra1;WNv+2(c)p%_#ol&L&mw0|2<R|L
zSqxT9LWGGMmo4nRI0WL30fE-JFIEuPQ8y`XWz^O@ZQ%8qLdAR2KUUG0=hZA%+@Nvf
z9y(2vpMGwhYx6qyF}Qr)Bio}t#PIVqT3(XoU3Hxwa+Mx9IImt?S^@qL!<#2v4ulun
z+dfa`MZ<wvadrNSti#--UC}Gf|KRS;!_q$2wNbmf+wQg*j>~Fd;;>h;qRSez#5hlD
ztqdj+WmOxEpwfsD6%pqF5!$BJI6)(c6N;;eVvQmp3OIo)RU}4<RTLBzBZvkKA}A<0
z<e2WYhqKT5_USp-b-uIL_gokM@z4AI-e-E>`?+tX(E56@f9gc9xjY;rA_zZOOcC>8
z_eDeUYs>vzfiR~}^USAs!9P!cP@W53pj&LSvm+6pbAxWR_83L1H^!Z|y-yd9UVAw@
zu+f_g?oa1<_s!Va^H5=qietRQ@##%%(1T2NGXWUaxC3TZbbU7ddjE^nL;29Zs#Z7h
z0}Fc5{=Dr487E9x=hI^qyw(cBKg6tl)gPFIjDMZIKHPpAhB$Ia#5<AWA~bKQgl?)Q
zUbxWKVPOA-&VA}Q|Jb5OE7U{(7{N2ULAUQ$$(anarfX@Ei7q*#ZqD0*n&s$OZf3`M
zvqDvZ=Rm|4K}qCo)wlZRXzE|y1^nu7`7ks4k12Bz9`0xq!S=@-!-lMzT-3Lan{Rbr
zy$~@9w&f*`jEIb6m!zyl?PZ7lycgFOPbDNBLI<{Wy&y=Q{$zYuXaT@>Ino9*)z$@L
ze@%1mz^RY96nChfrn%D-*mdv#fZSIzW5N1Rkbm1EGFKxP6rMS^@K%wMWW7qV0fo21
z4%%G@m&ht@Sj+?`4w*Ot0;Br~YZdjUTj~Sx;jnBl!b&zZDdB;P2F<9nIyJT=M5ngi
zfwW8Dy;&8$m5tp^!q!UZrV;%jV`Pz=zxK@{3$?Z~E~>3g+oYea9JRBmzuu(JntUQ3
z_KTiPLa;s!nf3xF%s8Lm4J9FfQeS@lx`gN7V3dEgYK>*d+86tuB|=iQSm)D(3<Jg4
z6{VWD(HC6ZN-!Ui+^w{wd<=cn2J@2M?>zO@yMX2V^OM~D=pSCaxZr$AcZr&IYet?L
zHX9B=7wL1`PRvi~Qx`k3x!4>fd5)t$7mffR!!0VCPtLwCJz_So=4czV7B?JuA}X*E
z+hhIP;d#|^(5iS=b`C1%zAfzN>h##Bfgxr2L!5_=Lo0}}#Y|Ur2P?rt@0$G?d`c_`
z#2<<DL?%Y}DdKl__jay{z2Uv670l-j_bDE_i_W2&TPH>N?tMS0r0fZWYfPqo9m1}|
z&RcGJT1Vbzm(gi8z$6(HwNT->fIb@mfQILLtVFHBOJ^254SHiw1Iw{L)52!Mg|bQO
zduIgBe83>VswVj-Z)kZjY=Py{y*3BF^j-T4na&p#Ts0MYKTSg_PkWtl)R#eWHp6>E
zrV+OnwU8aF%LDs~Uk)YJWDg@@F&o7lKmD)~mHM#o$Bu3>I3Ta7oByqNuU<4~IvnEa
zZlF|<1?|bHT>#a}MnorBG$ZlU(LK|Z3uFbq1p1z1-ZkDSWJRhQtYPkcLelR90J5D@
z<cLKCD)SxT#ycsRSwg+z!=@q4%yIo@woZdeOoCIkH@*~H;d+bvkm0?cOU>~m<74MJ
z$egO|b3gwFuXxu(2QL(iWH`Hf<*yE<Y_IE%9V=(d+X41J2IQUyKK{n!{&3-u{KQ@C
zi_E?z1J>$|$%p+L7@-XxFsRfXm$fSn{$l=3HLX~<@8iaNyx6K|ItPaBwN@~Z7y-&O
zQDO&(xKkr|D<@{>hxAvg=MCpzR{=QZfM(2TS5*?ne4=L;*NC=$0)B5uI?Mi$^2UU>
z^V-|97uyF&<vHYycSO3?Y}N$Sq*bY{Wots8c=4}>Z~eEk4|qzb=q)#AbUSo>%nTY9
z6En$-v-_Jut>osnI@k}j!Am-?k{`BEV^KjZl^Td4Bf(Yn<n={E0EOx_|4nT>5L6*-
zU7azfN7mv-q9<9}vmo9$$<&<@eQYvbmU}45ekF_J1#eD(gxWd){m0tUNN6i)x3^}8
z15wb++QmqT=xK#>u^~lKl6Z5P@qaH-{ZGl+O&-aO<6NREe-(YRCYB!<*H3hcv|0XE
zGIb78QJY1E^N|;`so;+;Cq~y_Fc&F<+g@2eU(G<c5L}-`Z_tF+e<Zo_gVN39dBINh
zStt^^DHjR8xBt;Jt&z<@XV15B;L#OB-9xJHrUqTg+^&u8qghUEKyJRzu+b{6&VL1M
z{!AVI^@_DGm$33<Rl|DiGT~FyqJijSOCm@j+dc-z^RVvJ$hlp{OQs*IVuW{s_J?2n
zT`b>nQs)im++H|Ap?;&_%&@w=SDE0Wexs)gkP)=c*1}kgo&X2>SU##*t-7?nAo!*l
zZP6C5+j1Sx^T<Jek@?vxvD1~Od|jU{VSbDfg0d*hT<i%S{$_s2Rm*V+t6_C4a^SG&
zdmO#H)31&9_uI1gITE~+mUMhzJTF+Y6U$-z4K@+#WYs|h<pQN$z(pR0r&;8elU#?0
zXW{^XqBvITz<_?o2#l;dJsDjeJKUobB`kSi(q5qYz=r&u92t!&EXTm^k9s;kByoD*
zn7qey6ZIukl9vS@sZJbwaqZFY%cy+E<)4=_;!?GBzRzWK2L<@Bb?<6D_^ct87g3|1
ze(IT$f4z|oYEQZjx|NhO@BEwa51(LF{=p?b{?h~cq_4HG?$*O?o4?3ETN`I2h^7eJ
z*&S&!Y;{LAFlSjjWKk>`3*7Of-ftW9nd+I0f9LDe+VJZ}cN*yf+Y%&g&zCwFMNV93
z2!GU#I07{+4Yhm&h)RZEwnNp!k9@SUxb@_gq|G`Kc842vyU9rUcBRexnB!ly$33mj
zlH_hYm&nd@1KF&@9PHglW6vi=MXbZ6Ia<CjhyLAaLfx&oKPm@c<wKL!rq94vGjHv4
zYNs6B7ILSGv~|gOrL8-jtL1Y`*+BSiu(x!_EUI*pcb-|q9UAqO>pgf5z)VI36uh``
z`*TY)*jRRKk+InaO?_iB=G5AkxO!7ij{a$bAz_^K`M@E0yFL8OPQc6d*xg`9NsY$a
zvZcbI+3Xj<?N|SH{GMg|uV;&nIH&ofzA}C-?6C^tkB9)H8Iupw!EQ*fP(d!4;#P1F
zD;&-CIIjNVUudmCI%Q;3z(a6)`6~*dbVYDYZx|{m9W`J4Oft6d8b%y#C%NL!?A7FE
zX=utABLd+^EhlBBHE7)QE!V9id6*qzO^>Adv|HQK!9FE1ce_%O<ZTD-pmBTNdNp3H
z&v@|F|IlInyW5c<fp63vwwqj)K!&;JZ~zM11T{2Fr{VhCXCvW5fnl3{$Z-w2^2Q-`
z?LsF_1)Iu8J*2%ziJ+@AyR0>jT4VN*q=Uz1UZv(+Q}&N*(z>TV8_ZEf>Uqc!2;16U
zy!QbRN1A6tGerJJ_5c%5AhA}iQ<|Cun^D+hF5?}<Lta>d|DhW#kvCc@0ra~J1+T=<
zaX~<MdxOtd<drip(G>(?;P{w4o{7_S<a7O=kIW#bv<-D~h8nlGgd(HAZQa_g7m(1U
z4cj~%s=XO(i2TBs1e&wTFI6UkMlR{qgcDFp(T~y!omms6$#wg6gj){b2XRr^i<;%n
zpk+%sG-PW?-b~&%BQSKqQP5?YW8w~@K(r3~V!z>)v|<&N6gnLLQZfX}WEBFMNmGj*
z%S+qs@o5;LC1WR>-4mILtr7Q?Jy{sG1&zm08Z(aK6Q}b*$|P6H)Dx&pUu5bO(s#d<
z;woA>-e`xbZu8wMB|$=fA@w15-BbP6mg>UVkIl5=_>WYFt3r*iHY1`%Gp~2sLu7xD
zGq<qi;1&7eyH!6=hb}%sGYU@LYfhSyyK(57^5NXqoxk=)<8675_``aB1lGIyA-s5b
z6Q9e|*_)MT7|N`ecS_SwdhFuOziGGi>hW9ipwW&mAJ*p5e`^-_Wz2T>aI^8F&7XDl
z(VjMDFREO9|FFPBdkNjyiQ&y2y{1XM(YZx;SR$5pVzdwvat<~(BJSAAFjz;P>^=$E
z>CW?zJ8?yA5QKP?fD`j7tt6H79F>$s5n4BOaGuBx!ZpZ~Av_4zT%Rg!$S>hqa1K61
z(EJjvkr;>_t91mFwX+E2)~D?OndIutKKxPhq)Jx)TG=9v<a{kH>yDQFQX|Tj9!>up
zKT$Esbfv}fiYLY5#$Fof9ymcKPrAiuy+z!jbr0XP<b#Z5{B&=ja92thy_T6}TRP`G
z0=dt{_a)6<-os|*mPOVzNrqbdbgNM5XTdhp^oI>R3#Q3G9{Y2~{D+f~S<#LZ`FfgH
zg#B~J3cIe9TX$5EM)L8cE?t&`88Fgl04j)&Na&9x?Uk3hN5|JRWPM@uriJrx4d;mt
z4_Xan6FD$y@0Rs9^)?xLR!Rr}Z*{`BNsa3K8$R`4X=9IlvvTBE^Y*L{``u?qEyi-0
z>GHB;t8vww`FNR!5j(L2rzUG_c04o)z6H@Myw|Q8?5!LGMG}&mULE-p$9}?Khh~=8
zc(Q{x_Nby-pXFm$^m`*DcOrikURD}Dl(cW@=93oM)Wo^OZyyS!di4?euIe)QNsyD(
zr)CkZkb~X+YZ`twSvDN6j>?1d+)ybB9Ba0pNIn_#XQ*>l|I{^I5xSb746FIK+sY$R
zbH2C>VDyFLyKm(${U|Ryf04gT@??zi`4n$SAAN4(-A^}fXUAYd?Ss|xqvZ$fQ@Ik*
zRZVn+%QoJaJk;{M4dLe7ue&GubI2k4JXIhz$l=iwYyVv<-EGojRdGD#JK?rxP=cmr
zJa?^1-O^KN8^2z1OO^#(ON!l{cK&2z|KxmhL|;yk3gtC<YULKfMppj!_+tKV_7OJ-
zz&#3Jb+(32$<v~z-8~}HZEpB1bAu?S><591McU!Y3&WDBUa9L|tC;98=Q|gD0cInj
zCN4j%@FR<RL7;%iKv5pl<{DHv^cGc%exNJLZ0V_ud%+qE4*j+UKGQ2;=j@Uenx5;4
z^?vigtgYP&6;cNtV=NbJV1843YZcJPEM6gkjmSq@nRHGx+9*iW*Eu~{XrC!tK2N_=
zEZWX~d@&fD%y6apw&opITCfX#ub%reAz*@VyClG+1^sz9;^;`)>}4wqCyKu+?g(Oc
zRx>jVclgm`YYDg7CU?_bCqYhcWln5M!B7$}?`COL`^yfvL^ujVqQTC|`_e(n-M&`&
zPz3kvgc=*pi3>qS+D(bI=n~e?ji?fPkG-ETn_*svR<HCHojv+1MN0Bzk9}c_G)1k9
zwjZ2gXQW^Dr6I${61Rqn9deC~=uJ(>^z<8(P)w?j6Tq;lb7cHgXXBuqT#0_y{k0Tk
zam7$1s62GZoiV~EfS~t=T#5mp@P3zN^G6$$2b-?>+-5mSjD6qv&PsHRsLci+emEu%
zR-v5k2t^Ds6qWF@;lvoeO$3Sz=mDHcrjT&Qf`pO`M<5=U9od^WeJQ=ktG%h49jf8@
z53gu%ASEuL=2S9-#m;H-75FfS2g?>FPfYa_#H!`s%^TCdnrJkvo7~WO<nb86zh2Hr
zK4?B-MWbd(-rb%{-j@dnQpa#VR^n(`kG${gP*(yb;M?WsEtnB4aXXzokzB%a*=w?P
zOlG~*wfJMVmnNJ3yegy5{|@5b=c;|d<$fy4`r#Mh8R4T4$H?@p`ibyv^dk=&n*5+e
zwyHS1ho^S65aP%ux)96La}z`6Qxl^$ZbYQ712W8~*}Xxu`tkV{=b+9t@b{DlO4S^J
zxFX?EdzVeGUG|*;ZIxohmT2o>=zBEDxxqwX%>MZ{&=wyuX4<l13mD%y-bw$W^LeV@
z(zP#zt4^O*v%EsfJGN;4$4G<I+flvk)_b%^I~Hov*%xh`Pea(L#H|<i90LvgZ7?X{
zPR^H8PnoxE23c6|69#2uXVz!2ZIPa-QlA!*O=NmvEI-~rTTP%*UOnJU<U2pjL|fyW
z>*bHtD-x^*qB%c3Auu&Pc_QzNs?lZ!j4+)NO-eL`+EW}M?8jdXJVelZoz>BovyB@+
z00##Bz~-m@!!x8zyEyyu{u^}F3;*~1N4p5f_Tqa(m4K85e#v{f<YTomuM*<Z=j+%4
zwmtuKz#1zvEm!>f6aX8M;QQpuQR4H{P6xF)3kbocjaN{HvVsJd^!mW>1ryR*wOpC}
z!!R)ah2NA4SGn?G>kQW~yp+HB<!Cto7`5k<DJVvqk=?BaupE+VAEbAC4W8sjj!$(@
z4cn0X>}yXv6JU@NAgh8s47z#qTt@wkafaD|da+fh?ejBZ3U`TveP`(9lUk}(_U@%T
z$=yilq;~Kg=@ZDr-;SB3eM=RcpIUniiWK3^f1bO**G^OKx>P!U+*47DaBmJCb1@&K
zF+kPc*?UqB_l*hQ?F}D8K3uFDDgii>Y_357peofbD!~Jyu|x>~Mr0?XY*<CJ-Faz|
zmltyrwKd*Y+`z?)BR6NBVvp5q?R$yO&;s#?d%((%>>GM1BK742&Fr@$+BwIro^c;$
zT%I6n+ltXr@?0npy33aX0krrH=98fP&U)`zH;T|;7Tx{`-W%Q;;w|!+r2c(zhW?-I
zyT#6G$xxK)?EKe?$D#ZqbMRpsY<fb6Qhk#!IX%JYE12i><EB$2?4pu=%`9E^WIiDK
zlUHe-3GRX>WUkoh_w~nT#sxrAW^*n@nt6wNa(~&?A#pGL_tL<Uw<C&OO?Fn>08iI!
zSG5YIT&hy7eJOy|>|zf*g=;lwJU6cM+fh%<wDrv!TCaYz)?{BFj<B^9Y{Ml(ekUT!
z96dI>z=TN}zAzlm-l`!bi|bn;TMazN81vdpTdJ@3XfkeExC;Yi0<h}BAC1}PHM50X
z=<2%e1&w&op?vOPj9V(yE$MSrc-*}|g#YOK$5%NlKZZ;tsy*Uh#I!W(kik&s;TU|b
zAY&22jRu-wdwgy!!(irEy5$oI^fTs9s4~3Wb`R<|)e*96;*2ibnD?kV?-BEKdQ(@v
zU+AGrh~FU>i33POP)|5IL_<V|=xb(}ZYi?f5fCrV;{DVKT-B!9w`&Ih*5m^xm>XQ1
zhss$YKg~wLjmugs<iozF24<DrndT);GXj`VHJ`r|oi~9iQU|xnPPchj`9AQfY}6@B
zYQ_CFFpdI)e$E_qy|d+_kg1O|HK8x`0^FYJKjel$LrJ$n=92UiTUZAb)<v{zbL$m4
z&$F3Csf?FPm3Hi26ruxNQ&lVT%i5$bdHxIPh@uF~Uzr)+8EtQ&_0Y-T>CpG3Z9G5;
z9Ev#XvbxNRS0&{>R?swx#ui^%ph(AFJ@VCY5gKe*BMw*I-R!?dr82d_sJ6l-?eerz
zFhtIcrMSe1SmF<v<=#AmHH}v3%#0NE)4~5ZAB?%r(~@;BJypJKgq10k#Y@kwMt}1J
z<^$*cw9n0jiuLF*ze(Lvb$gCv;;Bc=()j(ghsx;sl{rg!cVUTWk;%=cXSGL_L1*~f
zDBs>J>I({*%8hV+B4;XL9~;K8aU%8xG155mD5Nsg9q$wWxHMd!{UeS7t~^SHPehmV
zX7-LgTW<5C%N~c>E9G4$FWy{AS!l$SMHPz^-<WhyPVfmnTB&ZFlP;{gS>pUUf4Xh0
zRnl8{xQ`%-6rU_-X}G>pZ}+5$^`V`XTl}@v8Rz>B6fv!+lvcW@5dUEI?X)L&anA9p
ze|j_@n$h&0$SOnAt1s~Fz0Q1sj4P^z)||BN2}fQ?CRsAG93<__#nNM{PliELaT6@0
z6*0mH_nY@ct#!TvrOSi=^0Z`rg;L+YRkWl_-PKBtJDOSMTA8ZH?+;a;4>^6LQNIv_
z;frti2Zg}v>7y&39~;>4f%*PGf1Wa9oF&>aVLnhu*QxDgIj1?E*kTcxt|7mlD0Fko
z4FxzRN*KR?X21utJ=!k7n|)muKiiyltr;WVU2qB8Qbs@M0N)emU9jE#AnuJx6tb@o
zve-nqS}f;Al1&|jHb1OrciM%V3lA$Bz4(XW(wALU_w`#b-h5e(?<*C3IB`+KY&nkd
zY%w1)BW$nFxZWEC2#?PPB}-(TK_p35{qR=&-vm#dc@*uJ8JQDUpAq=jD#bSRk;k_2
z!Tlu<!YtaEM(`7okub?(`=0!#yOPQJ2buayD=&O%quD{3A|^U%?&!pco*v5VzIM*{
zxgdv|cQ`LUN_%tY8)5v$I`yPvq60fV7%{!daeNSLc27+8t$DS<FR%V(9PVvj>442D
z8Q<*94clbqi6)tG0B8VHK&-zQuCEvC`*%jZ`k(EcVRjRZLnlGehh1I{Thj>|jc*eN
z6;Y%H-De|1&j2Ftv5_H@9slgu-X+|K^dSVUrOd4oVfWdS?LV0LHW%K%v%djT5p7Rj
z+iKVjPv(Y~4hJsjXsfQwn8}VH6!hZT-vI9c&aT}yXAjIBau}UYzvl1oFG8OolO=E2
zGttlhjD$tdBuea`v*-i-5gdm*iA+?jThz|Roh8qLB<T901_A3lRj9zug7Jdl7*t-W
zxFft5AIq`-ovcGoS!4f}PDFxT-CVVNAtrl=zeHO_pM(#YZO+?V8{cFLG2i7HU&~kL
zzWnHgktFo1S+VX^XoTpmR(!H*t1zUdEdRK)$)Wka3ZCZTOKFJ&Y3YBg(C#YFX3{0*
zQJ+s=bH1r-ljk7*2KIfwu^n{NdU)s~*T;MfI>iOuuXU%v*_E~=Yr4zYEq48w_dox8
z-nfg6@PhY7`FvXED&hbqw^5|86->QWPS3CVSim#@9K*2aAg;G>0=r;J?Lt6fLkq<8
zwI|VjjkHTE;9w){k&F2I>4{-}dJYvpn~1c_(_oia5PssVHhu5KWu~LVA?SG$yfF^z
zXqy>6rwe#+>a^e4=%$q8%gcUDU}_Y+sn}0L3Pa`FAS4aEgx3=CPPmpE!M{OxesRv%
zes1>XR^BeZWt)EanL`wC<%4TF)Dxtpwy=HZWp&&92Sc(UembPu(QGZ$*|vS5VqY9z
zTAkShkFGEx&cYTl|72(P@_(Rm`k(Fd?iQhxveH|{)&t|@o+{YM_)Po5HM4m4Mv@h{
zJyErwVex<?qlCkc6uc`;PA5NiBl=QNRc95ge9#}QQ~x1=Jz3-FHA77q;9**tbPsBm
z3O>4c3H4$f7~dv{VYmr6{6!`ZPJ6Pvb#DG?V~X$9r<s?_Je}SpO(@Q*<q<<I<#yX>
zphA_jP}P<nsfj2FJ}8c#i2A~b3Bm17c%hTy_w#IDVGlXqax&DdPsRPHgX-H`LD{ex
zJ?7^XNj(XIOv8T{GhDGTZ<n|KCx-j9CvOgZSpMz5K|tdNTf}uiV-;=eX6)ISvIe1z
zU$?T=lkJf=z;m?pq?}`*_D}!rjme;bdbVbo1#q2s8hL#qaW>nYpJvR-J>r}fes_E{
zdYjeJE}wc@?tecmhS_34$B7z74z?U+8vhy;s_rCTsjAbG?F%uCN$b;p)fE)J-p>y1
zS`FOk&a0w%cpmYNvjYURd8gHLCPxqIr=D@_xow_{Y`ElkMf;uBYrUg4jJJR#j}YkA
zZab2^<dH4~>ip;R95|b}NeuV|vSaLQo*%s@Dp3@}SwU4>X)+PA7U4L!0r8rxG~>{p
z#iK%;ZzDqiE;ol@9pdNh(k=&oOQ6(|e0VkS7R?zt_S?7gkfuPOBnBUL>A5lQ*?QiN
zb%3%$Z}UO<C>~Ezmeq`GHvL)3*syd33h=kkv8_SKo<`LhlLF*7=az@_{+)p18Yn91
zRw;_Q`%+wxIZpXOnch?Fg|8l;QYJGd>G|B+MfDYK@|cUakKba>f}(>45hyER%-vI4
zEQfw`LB6@&@0oAKP0E%$ILYYZ#m=&4+DXOvtnIx!cZ#a|+23qCyQ+6H+X5jK`zN#N
z$A9w&7w4<FzID>l33=Ct>fsEkRDCr~*RjQP+qUZajwcoRs*-B)FSQcAdKp{UA$?;)
zF(Q9E_QvEXG2Aoi!|EpM75l>_RpSKV@zv2y#c3$1znJUix5PhLX`#>Cs%9!p(e*Y)
ztzc(7mrD-1`M<&)(}Dd1hs{GgWsvSIpop-%-|<+RT97#4-W?;=&GE+mXxAH)(>>P=
zTk4=11@&spjXzw{%(mGC%<@0svX(k{+2>vKZ7-P1GM|Uq#eTe?5PoR>NFoTrR!f^N
z2Amm?&2s^@x#-4ctJ%BGzonacGH~rBfH<G5O!^y>le8MFvl$TfF_>H*SRsfiPOTk0
zi@}yXz#lCqC5$buMoYuThtb0|eVXnFgy#5zn9Z%!?9Ljn=Nl93Lg~frfB5Pjewf(%
zaC{DS4eZIgDPR|NtY~XC^8KK}o7J`1qQ%T6i%B16IY!3OA|<-k`NOhL`lh)}8R2;;
zy9EEwJFU{)D9#i?(2+-z{Sh782^*QjpVG2422PjNbwS>?@Nh!J_7tz}*kE4-?e`>8
zw>eMV8xtuL5#_&<4cf>{9Y8J4C@Bw$Xla}3ke6(;A)ZR&cw&Ed-xhOjMDQ4Q(s$z)
z&qm#Tg;-_|TQ)+QFijyDn8G_kMdm*CH1ZgB3gxnaLe-`d5n&tp+L~!bG;&kW8+Vg}
zztFw<P(J%Ay78bXhVNulLSngd4un(iX<659YSi47MtpV)t^L>}U6?eDmIT^g6|JSL
z#x*kXyZNs%ZGzHUKKMtw!GIBLK!j#y?>#|mb(@dRX1M<HT(h5BpY^EhjY)tC$$J2o
z4(H!sa%(Q_fS6}<9V+e(7jF&`&p4J>^5Z$qf&BaEz;F%<8WuCjM6B-cpT0%5n`O@|
zZvIO6n(eVhG&JPxOuqmfcu-hG6uqq;-V(bCP|$#cg3uu&>~?6jzo+tzi9`JZ&)GRO
z+2X!KJ=Ng7J6d?==`9*F<{T)DtFKFWVWS_7^i0o3#X4TBD&i1iy3_ZRC9*Nyh1-4a
zDat#6nTVs2yTq%>i`7+p_hHDQbV0jRrJ=I)j)Gov%~pS*sx={bCCzIpJHt)4m7#ZB
zL#h&%`0X@G-A=A-v{=k9=U!*#jSH=1aP?8p)Mu!hL-h7Si@`$^ET5@#IW^Lg0h4VG
zm7GBZ%9*%>axx)#uLt|2jt&C!zrMA&=f1@9a>+Zh?1nq#=skDlnZlqx8R>=$I<L;D
z;zzalO{r)l!&9OX8mTE~%i4H`(Tc<!pYu)ViL^Xo8^Z3+bMieJnq$RrDW5)VVbdt*
ztc5<@qPqaEmW^a^#b(%c+iuY!L$C^&aZ1`&TGzC-N!#>X0LQv6|G<6ns@$0A@@cVv
zfIGF_9>dfuHjEBHt!c2mfdT$}i<ucWG<Kb?0|%t|!keP}&>?BC_nPbqPt$Wn3J(FX
znmTID0ZUgEjStuw<GO<BuwCkj1Y2ZUUl7^UfRMU|q)bGBD5eu5z7Q=^bYgvX9ip4$
zj9i%CrvYV%dm^%Qj%sLf8^nCcXZxWb(st-Y2<zZ;$Jn(;yw%Jh){O4#Z0%qC7pQPE
z=q>93F0Cq6vr8xhG}4}F$Tc%Y@0`6k6eqGnK(DFW0SV6l5=Rb7cNA<iP_)@swi-`Z
z@*l$BpKmU$@%@!q(mqorML#;UNmztn!pVIDlBvgGlY1q7@iZh69w^}@Px64b&D$j#
zbM`C8tS6umIl%#;2x@mvFlP$`uT%wf(%`+XH9dZ={m);`FzG>cF#1p2wa6RmGv;el
zAi7F=PBi8C?X+(bI@}Qdhf`m@Yp+WW_v?FaP*+gkF#K%O*0pisi#88-Pkjj=-@k#$
zU!7rD87)zjh+g3qrd=m|Ez}(xHeDv0c~0!sw!}S5OPVmWMdg=X7Zd^zI+{kxqUY=d
z34-$XqUx-BuM1kb==I@<!~4ie7~K5v5-)xaiOpuBB>1qKN;}aY`{SVu^lvND(xN^X
zR%Phax$G_m?^2)H(`0=WVJa(Um)ZY~U;W$)f9!u_4>Dv4vJ`PfcSb!B3@jiszxq3G
zeN0R~uvsHCou=nUjkpR5gbGt%*_1ZCuOKqQ(RHZA&2LY$$WM&s?31&yOj^Y0*<W|u
zR6L2DmG$sGOLu{tH8NaGiN^rfLOTXP+X1Jq@tiktcK3ScU0XXiXo$3e)||+DJMqA#
zJv<0{0Xa;RnF1OvgD?3<&$DUh2wIB;?Ex}T@(Tm19l%WETD8MpX@v%6f5U9o99J=U
zBLck#%vp-$QAI=KI~<ifLal=mdUwJo8ag(t_s@Y$!W)x$Z_)4-+1UK#Vx}ApK6{Jr
z#&k9_168Go@?xKo&1L6e1cdn@O)L!s(`Qwy4kGP4{m)W+vjNSd0MgIG#g2A-UP~XX
z5DEJoUxF(1btVX{mj|W(-~sXOlVRhnJ|UYWrq%^@30>S+ft&O8NweasuLV>9MhH$c
zxO?<g(`_QMIyPcCNO|Frvl#_Hodpd}!>q1>F7BbvW>Ff`>O2!)>YN+(MhxXT-x}P1
zIU3#QGBP4!50j%S=Vb`Me(i~w&h*$Stsqa{6!&m2Z5HO*OvK+=Ja6zl%i(Zn*0s<Z
z0HC4S^D~LA^uAiMtpb);7}1cqIZT+2=?sxpwu&}8E{Z0r-YPK^y&W_WO?G5e-P)~h
zv@+Lg)8-u6&oZ1nbIH(b>XSiMh2R04nY|sM8dNQ)6mEPFMu@E>D~9s&MZtCQStM>K
z33+0^z#R-po*4A>y}A-`1tfmdooySDGPT^HI~EW+qezt*>a)LB){3=5xp%6Eaqg~}
zOeI)Qu8-<Qws}EY7?Rne&MoYEYm~QDz6uo`8kQjGa%A$8E(3b~=9XtzS9z}mvY6^*
z5D1Dz9K(B!A)~b9ebHIyubj63fRJ?D?eU^`y1xYeej?N+$x|bAvYMi6FtNOHR-;DJ
zXF+Q@&&JJhBZB9t#}@Q1S{!+UY;DP@*r@b3TX>sP7Abpj#CM}^)H=1<ab-I{=rn{9
zS_mCgw0#^w?E6iOo!+-(f)Yxl5yL0;DFWf1>bOQ1aMaR}Op<g+kP$<q!|BNyPZtOy
z5;D{I1jZi*Xm2(!gN|IdaDTF&Gq{$hJrS|0C`5z(eCv{!2Ez8nK`xm$fRW%;{f^f;
z8L!@Y9l;~Io$X-0Me;84NY*kWHWw%bKo7DaIc%~<V$VibK%Zg4AGWZ`Rj-1f*+1l#
zR@8O@H8{`iyu7m`;N%NU?V~U0&`ZcGyUq*9D@IPw%-WL-&6>CPBFnW5-G8!)=AO7x
ze?0^7uINPPx>h1?6EQh2yer0sylVT*DRwMsvj6w|omqF9j9r_)OfT2bdx|%1d@iSB
z=nXMI3{mLLwk>8TL{Vp=2!RDP{BQGSD=p9OHSsP6<O(YLog5YH0`7-R2?@2%{{5L2
zb)H9#-WykB0%o?15y~0|<i$~T&AobGER!g>?VC_TvT<)j>7f=|#MXmSGN^W7zTc4^
zszWy&qc%l{JBMVnLV&B8^Oh~SGjh$yw!G;JO%?piDr7e#7XZs*tBG^9JD%u;$MI-o
z8V0jlXw9Z`8rg&{ChH)fxN)&rJ1`qidg92%J(q)^Hg>-E(u12qOz0T^@eDF4o7Rkp
zW+X;e5Ja>Ve~@Uhn${9uRaLLp;v0_KUc!W<4+^N{!NVUf4<+r^UqUakHxZR;9b`At
zrza({Y$r!POizMjY50MIT+X@Bb3@PVJB%8ZBm9Q?B*J>Di&6T<q=EBCS$Dl(vONNZ
zZ0c?aw#z+IxpWGcb{q@mv@4}ZNSaqzk(Mgz$kz9!DV}~)?XdipQ=*6eykzGUJ{kN0
zxu`S}7X51UnwGT#C*aFydLtfjmR|~mr$<kBwwfE|Ki!qyH}t?h&%dG^*#nPTQ3<7j
z+<b^!(RsFGf9t3VPwKX5f4E83<r2&D;)c<Bk?pyvbw)lrh@`J<*eZcH^>ow!L?5dQ
zxZQ$*7pxpIHKzmw+C-IJSDVr~#VGo-M18fE*uN$lEwB?x$F8tfI!^ss-HZRu_RX9O
zfGS$-?4A5s;S+N%I>BvX(Gga&@OG+UmX4;9Z|r7e%5Wvo%+k;;zE(Fgi~_WV$qh-@
zwStE=V}2QgG4B((aHg9s4mS<l`@%ql#5_r`ewJF(Tk)xUn)YB@y|$XP&>@pd2yBzO
z4XZl%klBo3{EbP)CI?5#5P4L$>+8Ihe{-t6gft^dgHJ5Sv7YATVP==SF8d~t=9#H!
z9&%2G8^Cx=TL)qo&;?`XBVztt9@261?J_>0G;VG*7~6Eyi`(5X3g8Ir1NXtjzLNsv
zVrv!^ge5e{1f-w*fWnyc7&^Z6^R1G{VKK_T@E?}wzz=u8M~9J^l74wrm8`qO&d<47
z6H}613z^k>?SG6vJ0KB_K8N$;w;LT7u6#>8y3!Z4h7uPoBYVbbw+6swlaP(U7lB}Y
ze$Xyy`*3eKIehA%RvxZlHwcf4CQPyHj|b8v6=O>|b2g#D8!lcu#wk`RZx?lA=$eAo
zWC0P0iWU6x!>|QT7^5^5vBCbLfhUX$MVn!>r|r!w?l9x*-im7a%3^RrGvh$tjZI_1
zaK`Kle2}pn|1~dKPpDa<k?NEsTOA-dj~Hig-=6BYcxhurA*jJ7T)X73JhvB{p6}{X
zGLc+9x3CV^(2Vs>58Zu*?u0!WgYkMi*UA1Eey9Zb{vdJyCbMVPR0m--D~$>HH4CGi
z1wZ|EI~o7oiuE;hN+gx&*bFrF>|muXmxfhU7st^6$eY768!-aNExIP$0Q!{(vJnIQ
znlT%nHp~Bzl>M;#n>dse9~4LMnx?y$`4h$(;Q@IzSIL(#ihj#<k--rwTn2o0qq?O0
zAOm^(%r|qa{d_O<-&|cgW;;(-Cb>?mSlxIa+?iXe8^XhpXG1F3#AD@E`w3=f|1-nX
zZgnGu%c6fU{N*USq)+BCcZXH)*o+AfNA6}#rlP`U*!KYyRZozHaZMy!L)m)IxtZgy
z45rmADYjc-9jPNwSoIjQ!?O-5+-a@y1Vr!|F5l$AEY6Aq^kW2lfAYqe7<6%P>W)n_
z<7x@D8{EmR;b7<wa-1Ib7wRjlIz112Uk-LA%b&cccNti2>}{zG#9QUvE0)FyZ`*g#
z^FY!ms;*Iafj?Ons$7c1*!&RF=PC>>ugdUxV^TKBp?yP&r+%6lezKtJT;eTNVpz6r
zHOUh#hp8-S6`RVvvK8VL5bo(xX7?MD0>1PhewE&n8%u0{PtlZw{-_D--l^`{&FiIp
z8gjq>I6a=8Ja_cE7b5-qIw!p4;1IKT_7>6hEt&X_o0ySzlOm8ULyNRd&Rpc(%@DDm
zP-BXl;NiAfZ_wYEC`?DM^jS66#ovEpvX6*NR{BgfD%X@+uTJ+2H|9a#n>rYkPmAmr
zrPo{S(My~>na<Ig84k*q>J3iF1lF|`Enxzjg0sgtt*#SO9Vm5%oj!Tb^ZDf~B{2UF
zDd_#%^TW|1eo|Q3AyMroy*EX?<7trYzzLg^kF;^}II@*}$gAD7eBemv`fOX{s<j$>
zzOO8sc?$lVj2TPZ3FBiY#I+p_L#0&4d@FA5(ZGVczK#P^K$L!aXT*D-k7cWg#VeM5
z(2N1lrBtDvVD<KoowK3lwA0hGG`ID{5PW7!o<gI}i_Wruu2dfD*>NVU9<lvoaT#+I
z=c!7{B!}(HUQbYM?0zA!Lmg-5sC}v(uW%z-ll+1@TGrPC+8XTqF}`*;>xSU%nDp98
zEMd&8pF!wyIMxc<j%|SUJ9$>K&fez$bmLc9r!c`9TZZux2`F+CCddZ9|FyJ(|DElq
zPnBkgkBwjm?R@Un#PZ9T9OuA*1X?rtQweJ)N8$}$q2bK(zBX<@Ut09ILos-?K+x<)
zaPNG{a9(aw%$<WS<|{!$ef?_#F2Awi=%at>W>(vqDAgKBT)V3pD(}tO;8j}pro{-r
za(;OS2j?wRNWMPEW!@HxIjxiOF3&q#D7m8X*(C($Ab~i_J@Jrmgq09^2&Uw$ng&P<
zfl;ONUrGCY@Q&96w5AG8BBBBNBLC2QP}Vw*Rl`e<sj5-*UnOXF)ScIs-<V|SFiHRN
zs)753k`e^Us;ZwfzU#8Y`BWJln4BB!VzYd8gW<-^ZM#3kKFUPSEOQ4BneST6p-F?&
zoVncL8g9nc1LtJT=k=3q<wVtSkI|4$Y^Z<VL}|YN<PA+gygDD6tATD5*H_wnNR{$d
z@t!5oW#2*s!X#vY5Sw<d^sHobQHO}MedK#ufZ87sbk#R?Js%0Re|PePe!&wG9d~+$
z>f3UeD+&Zb9HWBjO6xDq@Si^Ti$PlR(u)jT$8MSa@cg9;cx6`1C)wFLbC?_YEu9t{
zAiizqn6<4%z$WKE-<-`g=8DMOC#K|E`7V>d${#&GY=v?%b*ytRef=@IZ;Mni?RE}_
zr)>59bjtojFgv}_IxuD@>j|Q9&gf=Jd}9*fGa4)bVv5FQD?hw#8{Zd_@;UA=%I4M?
zX8SUWhI*EIuby}adfX+hzNHrj_C5LSiqp|%*VEZwD>^)*5;SU3AlwECCkNbvj}lm=
z-P2gyb{0@J94%D*iL}S{EcvHj-a5Yh`B!<%KX{X5IWLgmc0?dQAq^AZ@5j=!0JUa7
zGt(S?O=a;SJ$HQw)>dCr+1l`jSoh5y|M&7<8#5<;=vO2t<UVhj*(I$KpdX3ouV4I0
zKirhWVzwk1cU)9qNRJf$cb_)uBGXTLtdBPP9_<O@y2Z^Rex%eWhP&E%u}w&vlO(Gq
z{e)L1V%Q1u`m&VP+cYCCz1J4L`8~r0GT-JS7cm~XyfLY56&~>ofeH3pS8Z&(5`LJp
zVikt0yVty&SjC+_B<FfXBMDXAeN8l5!a_Po+PR#*K7V_vmzS`XlN8rT5(-qfs+A*w
ze{p2qhTop2CO_KT%07}9H#z;1{bW(_OmkvdnHR(9tQ#7teBTRd7ulVAP8E$T?tmKW
zg?>dV>U4XTr-?7tZuElf8_j+gGQ^gIiMi4yCJ7-E?MY{oVu+4GjQnu*owVrNI`BJW
z;_Ry<wA$_MXt17bKCq$jpf|Pa1>2}S2=ws7Y^%`s^&Lu$v8S^c%!4`;oRP3quP|VD
zCyM6)CG9<cA6H*(tPe`9ZiG#K<M`do{G4nvt1H-R7kq~F9vn~LMq0|llk0m%LC_P1
z^e;zgN%vSmNmE*I4?QWIld2%gT3Zf(_5WoI`=4bm=jEB6XZ>D?JUhaqId5e#>Y-<G
zk;ZAI>rkO9&IcVBunN7Tl(wy#-<h9#xdUGUprmegjwNJ1ajVnO-<%G(ZIvVJ*rLmI
ztFIUL<~b!6fdW-*qq5@u5JAWF7C8rwk0nYg-cpdmsFNL8HInuX+k_o1_0-r~<!fuI
z{gR!%+U%prZNZCA^;0i>P&DL=Ai`0A+=jN>^js`Y8yze_LZ3^;yJi5jbdx7Jdq%>?
ztLs*8Rb5WqZKIzF+;JN!fgj>!b?8%HSkDEHU_;^2^VhL`x6fcTw+t*tDMMrTuYm6V
zC_VZj_n-*8P$AiCYH4N&v9sU`zwE{=)Kl&Cju8PZVUoV!2FR^3%pk&jRSP%B`t5kx
zz(^#?)O{fMb>6y^w%LUKNu}{?(A?O;BNk89c~5NeZEzkMbm**%4S;O(HdLY>Pc<a}
z6LPfji2Gz)rGOdj@+182D@t5m!0WZvNs3c7V1`3$c_tCd(_dDrRIzof*@9#Ig_70v
zvP(~gQX>(-mVBph;`rjG7CRq~haQn~nl?LRqo8|Q`uYt2d0#*94E*@21-Naj>!9`<
zp-S!Em^k(30+;xp&L^QxXYbSAUK`HXT!VOvHaT%)i6i;fYb1I6gtg7s@Xd$EOv`tC
z-<g<QzKCG<zA<^{wzG;-JCtkaSbk~nRy0VYVH%coEwJRdzR};lkiYqGf>Nc5exy7U
z^*MjsuPyxt7pT*02$Lcj753<POf0K4H;zlitd47D%n{F--#KP%lI`%`_sLW*9%Fa)
z@K>K3vnP@XE2Veoyba9QvrEf1!KZP~gW4%AuNP1tIXQMa#^8W1$@@eQ{KkamcRkt^
zX_hhZUmoKB<;>KIXnGs7tw&;Ou!MiAnp||nBHK&)@N?3*_NX#s_TCaJhjo&lV+8mm
zpY`G9TXk+4jBpV*Fb~s9vHiU~o917^CI``eV4}tE=jB9?`4<Y}s~$Yl4i_F7bX=I?
zfu_>J5=a)1a64}iPJ@9yZ#Ua#r#kG3U+aJRz0Mr7qV=&IwYJQ4`n25z=i&qgsC-hT
z2z}fjG@!4TVaQ;m<?fjV<rAx0M_y^YuoO!{Q_Z<BmR>8bV)+;iNS9;%?FAaklv}NP
znnfBwGrz=XfcdBA_5S-BuXh(d=nj9RT$r#rX8TOakO$RPA&%@HH>e`53Yd@8U*1vA
zZ+V|DVwdgYpAW(RCI6<dj{fspIy*lSe_ko=;3ub-sLX6UG7Ubd!7zfj;UX`gP~+kU
z!~HDg6;;hRusp6^+Fs7kPk)cUvHQjZ98d_`^at=>@=ez=KL{Go*}n6MT9V}khn)Ui
z4h-PMRIk5|tyb-O{b}c~nTVjw;Nzph-DTV7LjH@1$>~N`%D@{FO>o_Amab`qKE}9h
z%|-h8Hpcwf^Nk6p+xf?h;3e_V!od3*wN-|;6JnWXQZ5yjzVGs<lo>ymjgH1zWdzUn
z>(7#3OQr~wTd$yXX|y`|`2M*Mm3^VziE$WYt1E{7CrW7W={BYsWfa->4*ETib2z02
z8jM;oD=u~ITe?HrCrXSoAK#V|dUxQDUT)IsZNcDaLUxl6RcijmBq;Uz(1JTfRD5f)
z={tYl=Mgs=l*bkdBR>uIsM3tw5PutBI-1hE--}wWWm`XA1t%La+}2THBy?3<e19I)
z0?a`X&xdUG2BE>f5Bxix2K;|+-$@r3Nz1!g6sTsl5h*_@(Y5YO(vzpMnJPIk8z$ql
zkhborY(z=0)}KFG>vJW&pBTSUmB3$%WfvSShM)%1EYzl^Eew3ECv9UU6w&WK^V4*m
z;cPIfE-HV-(^dcYEp~?M3B1)1T}c#k5IVIkWK1&Ad#S~D=bul*?!Vm6;7DP`^xV2b
zU3RmS3J-(oVLhOawLru6y1Jn(m8L`+EAejOJU&##*&H7U`<nOg*-DxR!i}1!pv5JW
z*HNn<FB10Fm*2vpZ_zdIVTi<UuLqnR|CfJX=6~^Y3I2;E8=wrhlty;xqYW-9rO|yJ
z21>>B&|kI3=`L=pE4xPvsF5s+Fo_JQUYfU6UBo@pA*m1dj!s|$B45GjeCtWCcHV|-
zQ*9RicD0;3mDN6i=WA~$qlG!D%~0-N0dcExST_IawaXSLgckGUQw+0(7u~&=DfGQG
zW*MjFZ_f#?D!OrEBGsX=R@O|mf#wDvA(AQO6^?Tr&so|XU?xb})%PZ+^wMpguZ)Bb
zyW6sFqph(IISCah(v6be>Dk!aQ<ZdN*knn#?Aj*v8r0^RXi5zY+2q7bZ~)dcXc(^g
zUxx32K>uMiS<5Zogq>#YTnM}Xr{>19?|b4%GsAyPmUm>U6UCvd`*asMGIqF$bcSw&
zgSl%Xyt4PV%IEAn>O%+4Grr#+(7~G=&H6I~Ohw%{9!Pz%ugA}nDo%fb6;*k*ofEZ*
zMn-qDfBVfnBD3$C$vxtAW&bE!oNqsoZ=EP{Bz@1NbxA2SnyqOt@(wkgorf<8wF+T3
z%xw35@;oN1uc$%xH_yH3e0TzT^v^GM!S9Wv_O>0rL!Jppe}6=#c9C>76E;Zi9pp;T
zWaH`#yEx(RlY8g?jlJ`6-%qmX(QOrI+Cv(`EEeM-rw{-~>z2ao_nM~Xo@&4k0oc_A
z7}Ck<MUsyw3UrVscRe;;7TE<{y#uF{HVn>bg^%J}z`k7k6P2W*%D}61#*M*qZ}k_#
z&DUSYyrs)J|I28H^{W5dvEqoLHzv@|{H=f=TX7%UUBKlOv9@eseMgyOR+71DX3vsS
zIm}G3@nyO#ZFB89S)YyYep8EgY#a)=Uw8uPdJHZYq+nhg7DU$Vr@lrms>(@ben51s
zyK1Mkl0LLGpLAd8AEisb^9b~Rz%YKWH~_I@-KiM?fk4?sMLPrh)!*#BQ<v^{Kf@nb
zujykjG**phPhi@fFWLFMXEK4mW{gaz^?0J#;a9w{CTei#d+wXi2`QzTLSC)IHB2;&
z2#Z$*j)<w^{3ZVepD%7ohbxeqLaC_MwKsP=Cwde4lPGDhdPX;Ng{vHYk-qY*ua$!Q
zu81DF`N5x4rkdrJp131G9r#1Y+jkJS(|1Vr!vc{yQ9eu~pMk$3OZHumm0%tJiY^H0
z^TD4rwH1N6AY{x`oA0aQfgl>rA3iN@gztunTfs_wHDrQ|7rrQ7$%8t(2z#>z=jfL9
z-}e`1c>1T=KR*XP^8*T{teN3FaHb#?*1LhgR#Z}|-*9@7)E_?n>YVe+&ZBMrmIr$m
zmQrpuToe|pjCgdD%W6bpGw)lsjuqaOuZPv`T(+uC%QpJR+Bf|hr4QF#%vW$<?Xg>k
z9kGh;k1?JfN8^61M>iQxez~|j%&yE4V8Z*pof&3an*;iGL$|{{>VY%*-?o*?3w5v`
zJWI!#t(N@k?-tz|;_2Q$+iSD$JvtIollDb_31GP|r;U{~C)bV&vx@#}Hf}pR=b|zZ
z!#xQ0<v;)b<V62-?H?S!m$_!EKpSg`>YGJnxC<e|67*3CHvgG1ZGk-kh54qf&i5KZ
zyT5o3p{H({0f}{dOV_+@VXcsd?jOjmYEl6phQ%>X6T1S7TdJpAA^HH#B)nfp9)Z!-
zsZs_ew(%_`{ogvys<-4C_*K;w(BfYe*bYK}PF4816vHMupHM$a3>J4R4h<$<q7A%;
z<Qam1!mS!hnuT^N(>rAE!MWA>rJpVS_+gV^VYKEv`!j{y(@*ICjihEvU~21mo`u{g
zoBiB(ztxQ_?06A*gY@NpUhzNSU`^Y>_<vkY$NHZf{!-;yiY=fVrY8foSdMXxw1PJ#
zw6vJF17me4#Ubtf-PGF5W%tXOM?*7$Va^^RSr=%g)>R9VVD%ojkeQrw{JiYa%%Ku<
ze8GJpiv>VXZ=@Wwq<k(q78lLf+#Rj(tJHmPt%4#Xh?IVKK;9b@bM!Xh2*Z^~WpeDC
zebxA*&-g2EOpfveshO4UP0X26P@mM!ip>}dUhI&|4UI_AxuSY02-ef`hlSA;yoH9y
z?cC-#lvnV}nJjP71jqT80k?xJTTey)0&M_+z}lUb;{zG(vsn)JHj?tzie#AEx0fFe
z@;@Bb^s;QEVSTneboPRozLeRYH-Bhgw2ZMxa}L~UY?<%1ix_oQ2K;fu6Op+4exK#D
zfIRqO=SjuOt<+e`Jh!wKrBhZqD;4b}&iM7Mi*HQ+)V=j>z0-Z&$?Uvn4z)Kt^3}p}
zLV1jL7<-8+55Lz>@cU79ZL#lL5x|XkDybpZXWF_&`W@o9EMKT=J5=n|KM{Q-h67g4
z8BiDy&k+6XVygCT`6)Z^g_m1zOg?;`vt?{il;cVUz~ZYL<#ON1SAGHhFWWbOPt*K9
zkE}(6tR|&EbLhUSDrxRVH$}{)NhUTmDb~1890k5-|EUUH(tW?=v$m}Kyg(ZdmzM{J
z(~p%Du^vmWI6HMN)X7n-QV{LDAuOVh6Nj&yd;NC~v;B1@lm0xu_&AuW=lX0@u@9Wh
zEciJ^Dw55$?Zy6bhJJ`J!O7cm`_`T4^3(2kdircEcq^NUM<t5;a`kGo6_(;9vR4iz
zLGeI|p$ByKuO8<;t^EQ&Q3wT*3~0`+21BUZp}SIh8?2>c<kUIwAg*+xu`hbA?iFh7
zBsAMu4um-sp1GpoJzD|AOsTA?o$aESRMkr(QgJ)3vZ;{g18_lDrS<e8)(o#*SsmE$
znsI(!A_zy~&`e2g-|b5y{PUXKDblsy6OW%sz<cBoKjGc7$@xX4;PE1#Y;ldJQSdN}
z{PKz&NM(Zn6|r5#L;?K;ul_HXPs<j!lTX(?-HwKp$PGdGNBM*cU|9Mmxfd@{JEo{t
zT1WYLVW)6@dpp;zy#G0QY^|cdV#e3Kee{3l?#;uR&bG8s&QN-)O7VCQQ6bPJB^*SE
zh|E*<aX@7%r36WUlth_Ah|G|L<kSQTn3SMQ0aA*93L!>F!jPdTh8P1x2_%p}kc7by
zLkJ{c4j)$cefoCy*Z20<=lM>5_pbl)Bu}2-Z|%L;de`3jU9UEFf<f}=fK*C`dXq{f
zTW5#(aFUnYV1B*%lPg*^q;}aG3teY+VP&jmiiPJRk3(?euTpZ{tGA7k*}g*GGkHu(
zEZ?uRU9VGy5GVb6qM8dM`X*F{I_pneTd3pRpBpIa`M2-j$lA%L+2SkK{2vv{c^$;u
z6kj+ykZb<6c(`{n+D*hmV!-|S<%$LKVZ*m`Bvr~*NMCpyyGVhUW}9{%_R`bbho=<{
zlwuuSkSMP+V0r4?FVcJ*1iAkhLH6oOi6jf;V0Ap~eeC12XZ@)}8?V@2#E?VbF^A2^
zEr(>cl#pZXB5aE2_u4?v(UJ1X{<A$jD?6|!Fk}bz+{n~o^IsEgC@is!p3b(}%#*jq
zrGuDLqKy@PUus%=zKb_2x13vWzeZ|#0RQo3^}dMg;BBMt=a8W!>Qiwp3x?wh7<CFj
zC$yVTK*RW^ZYh%pr|W=ghQg3<F7OFHoYa=0kbvBf*p5>dboK-pqqfn<ZGO<EO};{4
z9Lwk+7m=XqG8?{miDjhw9J_3Uj1nx}ERcHHy5qk>{;rBnuN(1>^}!jOpT3--@28vL
z3!!(DuT<uckrLSmCt%x%RcGtyp#BKz<IpmwTwSeGB86HiB0%U6AdJ}wsb@dL)PJUR
zp#pv1eDQZ*u76+qS7%zk?JW78)g17C(QAL-47GkOoph1glO&<{PY*W@iQ9o<ir0~_
z-t0{whoIXK%_RhC1v5HTk2+d<C|B95b#u_;yAZvw{9`03^Lea3^ATd|eg8@b!&&*Y
zq#JF1E#>`nF5pGXz@=$Uydg9oC)}`YbZbN1jw<Naj1x_Dw<IR?21v!!nuUn?$yrRW
z*FAQ7+3pXwZXvPGF#jB)x68&#{4$8p4sVR-)x8Y!n#4()u8W(p=qMRZUoQmK!x!eK
z2MUf_GaL1PY9Gtn$c-{F`s9E5=Kqj`D_0Eu)FdLjZL0}?#oC{{wHIDRC36r6*T_s>
z0c=vSlWVVFk7w@+K=^m0U4oa?twle5*H5cpC)dpHeUB_<V|M1#Ybi@l3k*#b(vA!7
z6KkaVxKlpSQ*&%Hp^w)HNY|9D%n1Luq;QM`)2Kw)Zy19~v?g@is0g=GBO*(eNre$o
zu_QU_)`#NUd4F$z$$FM>Jn$T{Y{-zf+9-BlzS&s!3BUst9(J5_t!sNutHrsUeF3X0
z<x9jmNv(2UgCwUm97fpsq4S`IRd!jia4Uxr$S*=w<m@?=VZXdq?+QP#ZB(R57<5>0
z!_Ax=WZOQhd#U7OR^6z#;8QgkF*b`5cz*-?EX)aKJAwTq7|nU++q$C7v2dbr7UmJK
zetpq8%02UW|F+SedEc%)=J%t|vBSZ@32oL-u4%!-vVCO@E1fI#D?zE|<2FeUUr1+f
z9nrEXlRl$vOlaWHrvT$6ubC;mXZb<M+WtvXC^LPXje9+RX<Btn6|fW<<+FL&Rjm_D
z(DA)8{rao(=)SS==uZZnq8cWSjB@>8>)kz>TMvhF9Y(Ta942jp(ohzz!$WKiJQxMg
zfKP~KN1xAWm<=B^!ix>`Y^kq3AasbCFjTT%;wZBIIcY(Y60cd(=UCcgG1r9-5c~6=
zfPAG^W!#HH$sI8?1?IHhE0?=6C=i|$nvMT*-MqSzV>W`e9E>d4AC)lKMW!bZ>F}V&
z>*9(nzmCZN+byJmt-te%{kz(3;}!D;F0=^Tp&d9tJP}@_9mv~~L2dS|&bB|lafgJ>
z$v@_>p0x$|**-KFaa-k1#$fT}$%6^?zEFroCT?|E-)wvyW*I6cEN-}|_p5Kd2s!g$
zX!?<+u{8I+vjiIIV!LaWx@`nXN}ML8#jMpxGs!<REJbUUiq9c5M<VYwmbiLB#ogOR
zyQL!xr5eWPBM@;`cQ>IthKyZfjs-aQd{19nksLb*o19%G-mMCoJ8kdh1u9ntgZIX<
z6Zmxy3on*mQ0#hXcUd><;s~RsPMhQ4xC3C`jBzNS{_tZkY5Oh7+&g}rt{J|AgtnxK
zSGJAbo2lEo#{Xl_{FcPi`uQ(Q)B4l-AG1q7@0UQ`0Hjscvd=86Ju*Z5VJpcwyo2D2
zOV{5QPdN8yWcl~^*0-&ro~$SuT`QJUB_Ti33@6GNhQ_bSKiJX}&v}J*gAcY;Z5#25
zV{DDvmQkM$D=pImgSA2h;>(<mXWWgWCpuuw&R_SEPV=?G%@Du$f`hCR<tkk`@@T9*
zGIo@?IO!Ygm-cJ9^+8F|>KStc;M9|W{kZ+-Wsrs#l1vP0+^?Qb3bVPDoOpv8H#XLV
z(btDmMtd*LGzWUTkg=EP7jzsKh2NK)2H#rv4Sp9N@s1xlyHu6k8msRmMXouZg*aDq
z?h}$aiQx*uSREsAHga6xey`rqfVcac@1_;qy0jB+B<T~*c_kh<f%BBP|AY<z@?SMe
z{r{c)A$P$n1a%^*XI3y-hfa7If1^6LL$rC=0dhPEx{gADuPw)@H1eIvV-&V+bhtkS
z5_0U@9JuGUk(Pt&lGAZ)z#O88MDp;;s-VF?jrPJWk}#o1Q0wTtL;Tv7LZ}(`FwOq#
zfP+R_Vdq0GJcio3wiH&@fPHpv@%@?P#Y$8J+pHk<U8+^R;RiV+W}-6$m#s<yXV1x5
zK2<p|u{X5G<S5;o!8g-zVgB|{A%=2Id41>U+bV#5m2D5gM$m#RDq@cMz10OKs1-|x
zpuV_4hoY#>*in+nX*vga<FTG~;(=NR<$|KC4bS|4_WBQ<@teQsOn%B{f7yX`Ghv!`
zcjf_!x2I*y<rE3aX@7S4on_&urrBWtTY0lrtkaD4lFLlBM-!4vOkY4=vWPknP|@6n
z!7ERo4o<Z-t!B8A6Ii)5531Je3&B{6)s4<Az{_cFfw+@O?(B=>tp*NP@M_K3!nRb|
zXm6qKo>qRoj~&4{$!%xCKc6m`w2aKLgF(4Fg<+VM33p+}4OYt{=uem*C)am<S3ZT^
zOB!Lgo}l#2jrA7V5bd9qv1J|D%HCp@c_hR-;AXFCRvm<HCl`Asl=!4hPnZh509JV$
zrrm7JU%NUne#9x)+=*t`5H2%qz<GYI5V{$*5-`h$fx)N4R=V+n?BH2Ik#}Ch)*}kW
zNuRsG+T^T{ImenbEL%L1G#eT$);A7)5Dy&Y=f{De2fcSbo(gxg7)=f5Sw=?KCDbX9
zAE+huw5H7vM8&(CKmFY%^?!%`W^a3!0zO;K!02(?MiR~XVZXhU_>JDQOw#lBLztrp
zErl*9^jVuP!fFu&xh)3;)(<|;rMHb=#v|_mSee<}RuM2~WBN50br!o=_b0J;DgGEP
z_1$|JAH>I9>KRCtv2*Yis|Y#4IHX}ImJ^`QdgRs?wRiI#1)U|FXz24j6Y}}IT3#b{
zl0eM{12KM<gUFd~Cm+@A4Ye#65tuva{!3)ooULD9)=G+~M$oiU)uF+MmU1rKsURfs
z^J>&ZnYW8PT%4n^j^>gV{{E%%wU1do@PduidZ=T4;v^*N_Z-CW*<pSp>d+?o5i1nm
z&F)3S5K+8mB6Y;$pZ^2T9Nrh5PPTr^PG%|q-d<HgRvpz7-$1@r9o_o&D9dAYt0)vK
zXIqo=U!}hov}jN5wQEd_yWLHOXJ4z#MStFl>3|GGc@4aMhx4tzDmd)AM!e{ew8DF-
zF(tL6S=OkhD+h-Kdv5T`Y|Zg8!e#@$to`X>C)ITpQkn+eHah!Gov>618qc?C`Bh5O
zdH%gp`m2;?&J`{5*QO6O0uw1s<#dvRtSykdGmgt@ZUY1oCY)al%ne&sbY0{f<Y0@K
zL4EVt8=>^PQf@L7P|JziT@%T2MoU1N`z%Osifn$ckhHdK6yQNd{5aztWR(W>3qH>u
zDI+M>L1=bdNLf2KC942)aG1$%kr$PXv^KjAhzCQP=|Sa__5mjgwMFtk`Cj5{>+g!D
zwH|l(28R|(x|tmH_2#~MDU(6jDTi;D69>Ry(yLtD2x(DD>n&~N23(c$zW6&%^ZyRB
z&T1nW2Xt$YBis_RK|q0cl(rax(YR+)KoyIdoXzM9g_-z2*Kq&Al-<2Nj>s7v<qReY
zz0Q+AOH`&_EfBSan^_ms^l?U{=qwinRs-*#dZ++JBO?PI*;`8VdAv1#vD1uL@0a4*
zIyFY-_b6`;NPR<tqnHjs@14o*q<q*O{-F1$vY6sm*EqB00GVQ<K<w_5xhoQ4?&`cL
zf6N<iwcMTRTIHmd=j8C(8~1BW>-V<N<+{deo0KF%cH^=ypA+{!<0BV%WTdbjW4Y|o
zlytLvRDKF1EN==e?uNju%90IU**YL#+Xy&%X)f-K`eIe-XLERmQ$y`e(h4W((P5U?
zIR%oh2^(35L(115#rkd=asOv~Nk&G$n;ju3U0TmI#+OrLkHUV{uP$F}+BRadvD4kB
zh79;Lx6#MZ(lVW~c2Ih}2eQ7ue*r|jTa>*CFGga2<hhVES8|zq^vuRf;uM*5BC=Bq
zsw%DLTQSLnh=8<RQBlmKkwO`tTvPf%ubaP<-C<#<z!0U?OiVVxFnIDJ4x`d(V>UL!
zk16W)oU2-l`BL@AFF{!yWslQU9`HUCC9(opSeMeX;e?kEu~|4y;&s+>!+b72b~CoK
zJ1r9OWl9Hwy|**}M>*YYj@<ICAW?c$Sf@x7TibZIsllO+C#dz29(Kr^b-;kDCAYwx
zn6hOg(`;alM|o4lLP6i*u(A494cLqj&9vhsMWbOLL$p<leu)Q}5WOlvM`nqfeon<y
zrJ7Gb-W-XbukP(Hlgtm^5fP8{>(x68w?CJWL4PjvrnTBfbko0Mrd%m0{QdRe-URR>
zai=l}rfeIf#oCk(^+UIf`sa>dNBhjb{$64DNrtSwGd#N*)RC;&XkF?pWt-K><u<H7
zkM+f*ui5CF=hOHTncGI;t@WcxfA7WgU$DcL^k<{)jMcVnqc5{910K@V*}eFzWOgeO
zmS&5%Ju;_lgvS%ku1N{*ivp019l?#*lZfm@c8XVN+RTiVj7+<^?_i;>K6lZ>bn$9S
z3@tG0aX%VVO2y7&-Ya1XU-KI2<a`*|C$@sBPYH$Y0tIs3lo^9007de|EUihz!1@mH
zGPnLLcs<JFrtfp(YR#-mm&<G{PeIcf^h<&LE8~g@Uhsp?tO9v6lS-L-oLTR_<?t)-
zd}vhYP7EC*?a5k)igImzC&AjPWs78AL)7Irma}?K=pDlf_OE<7yU`R+hC%nL$rqOO
zPqP~amK%`W^&Rx+OeCuO&9o9U@M5aBIH8>kP+E!8(?rIzO=}>E1iA~zI6zPr$<(ug
zgnuHPxBLxVGCo|#u%X?i!c7h~^#p=!yaEFQL$cqm|0bFp@^v>VR_2=N9;vTr6@~mF
z_HfYSv3GgkM6fJwzB>xd<^j9s^!ZMl%~W(c;%mIYatfA2yRDY+{0^5+-r<OS8-tsJ
z-mMV}^w)mA6~BbW9=piGNgeR}itg8K#P<4ZWDb05@OUm^U?STTh@}PfIrXjatk00M
zqoUhl&X#n6sU~$6#CXRf(8)<TwH$4eG{NdEF@N_|yTSKphU@cX&k^F?=m1*tR>FR<
zec_K?7rQG3%iBhu4A(WR(r#?1f7(ztWE6cNn+LdaqcDG|Sj{DbB+8~6Bi&zsb(_8_
zL`i^m)@oCzUzOqhmI=iv{=;<?oW^O{#6(~IBj&IF-eG?TeyA`2pJm^b?yC?s59aCZ
zIK{r@ygZFGB}sXM3V*MH-O%tzrS`tkOTG0D0ENfgdEIXNpHp>Od6ORA!j*L=F>QxE
zj*f6fyj__Xr&wlfp9jm!6c#iOTH#TyRZT4QW9-wSze4gJr+e~l*Z9F~f`TTJsM4vN
zT#Tl@JGIT0)vTvBCS{h_Z9-iSG3_aZgC)plr`fuqdi9ZwL6=9tDcEYCo1RxM%o|tE
zuDd<p3o*obj6DSQc~VB!S(%1I>X&oC=YzxZnm9PJN1+u8e2@v-_)9{_L@eK}n_8Pb
zcO?Z7(W6X@bR5Y{*V{X}lrN5s@PpqFLbHA^;elZvbqXBKx3-OZfM_>PvCi>(<=%xe
zzUm9QSZ`z$La?go(|fLpAXTqxMnv<*&VBZ{^^L2V>L&LXzuhe`D9w9+;uPobaIP&c
zUF1v^RsW`tpA~a->*|mT5fSi=su>{Vk}fo5j?7zJr3IF!LF?G2Icy}v6<*|BkV;sr
zvIS00rH`fG>2vIJy3^OcT!bh@h<fAdkmP)&rL7h4mpNLXGwSOxAwMK83oq%_5CTx(
zS3=QfuhViw#ZFM4=|z{T!Jz)T|MfWa_p_gLX7x<#;m-XplQcUS{~2iPq;B^|HJkn}
z`93ULKl$lR>$ubY*>@&5RM3`;m@Jx#iFG{mUa?Ld0yOw%of)n%x8Ud<ucX|nzM8)m
z#lcx#y0_tWj|x?C%aE<3JnWGx*0bDX^O5ATX*c_xCE<j^5+wuvq6?$8-MvF)9nGMn
z^~bB^T%_1Vl^>h>KD<xY4RLP_Je%fi_UW)^>FYUnrepXORR7l#B2G<fD<^?lAZn5r
zU&GTPUF$*HMtgs1f&yX&MJYjJk9!3}$-gLAUVV4s%gg_H!L5Jb^uhbJB6LkvM)Jzu
zJlax2P{v0u(k5IId)Cgg*lgG7Hb$mOj_zpJI|rfA81kgjwnFi=8F;zFANxZ$_*~r6
zY%5<>J^Wg0FU=MHZOh9P_gUYBeAq6uh=jlltKWv&krU*W4?sh!^>mJ}%-kq{Cytms
z$*^a3rB-@3Kkhj@J2b|raRSA}+EunvN%=s;K%q-QDZ3XkbMkLEA>DVPjS|O6il7J_
z?KyWf({-s(W*j}6>HrQK**1b>Lx%nsDj3x@@bf0bQ!1%&)7Knhi({&M!w4x7SK5hO
zxqRao)nWhS{I$P^`^Be${4C1M%tve0?Y{)Qh&~#7l%+mg^QOhB*R>ig$z@;izk$O8
z`<9#&6)G98w0d(fq|~7)mt|OJPLz-KZW|E`o)`NkYa+9(<*O5c5$cQU&Vj)`RcTgE
z?z9vT;ShVn@)CCB(>N)cl7HoFxL<7QdQ?Nv42e?UD~_CiQ-dcAP)maqBFie#aE-tE
z62G{K#&EpKu6U(+N6!JSZAz}$?*P>OldXa8=flRH_w;iH2b-DphSLW><B{l%ow!r;
zNpHoy&Q=T&FR)d;qH^WH&c*4<>HLj}FaE9f_G~nFxB)L;7tFLpRcfMc{v0id^63v}
z!sb?Zy-U6>t?yI7x}`2ko{mkQTM*J7zlXg~Pj`!u&#U$pz!N76=6%gi$7k5?CNR@9
zjPJuH$d|+dSbQ=nYv5r`tZtwH2(h0$7!e%-iPX|<@mL7i^Z0$v$YwAQk>$?_g*3W@
z^fZh)@~Bs^2<OQ+rzaH3xFA`D`p8(ui7QEjQ&p|iw)BXLO<(|YC0lKNhWKnfq-?6)
zdn-$^aKe3UBa}x}Y^*exkF4KUqt1h_jMTH;3Ykj@YG?t(6%4k-rk<J{Z`0z#Q*z^a
z{f}{iBM(z<(#Xg9;KEx=-hQ7I%6;<;%tydNSFdyREs3kK4KRV6;ZMJ)3pp&baAdpm
zN;QEcNnXf`M+wwE^_0py5;JRm4qg}sT9(IG_98CUCt<F=7!o$<vd*WLuf;2I-}CbQ
z8(kEaQX?~A!M?yo?MV?MWwZJy4CfX@QN2rbt%R6v+Lbwa3XJ<mEbfb26&lZ*rQ9a4
zSwEr(R_{f<9P-Z4BKPE+aqO#3RV;x#u%8az0^d_Dp&hquhIvoh^F~OUXhq5BXtO(q
z0)lY5U7WA?-inPW4Y=$=`x_$R-_LeW_v~Pyvpt-IJ6n*SoP*<rn(t3%l3t~>(bhw%
z)UE(WK)AmRE<*&@DcWYkd<8%MBj}k#I(@}pXbv1pn1di$S!$C7By}j%sl@E?eE2?`
zS6`%aenUs&K~JGCB2P~@WuM0LB15B?jaRldfh7Rz>jzuXB}b-OCoSquwIISnuEkl{
zKFhW4hx;F<QYixT`@r+TyPvtJe_8s9p}$>cPjwNFQb`93!o%ZSR8y{t_&nVAbDnA6
z%tt}GmdAth9Z0(D&@8Ye_&QZS&tgS1#R_>&+eYSObOg$OE)Fun_Y<Uf<a#Lq2Ir5w
z20UR;<7~f7pJ|k`JjH9ypqyZ!8Pc%q$jU7e=$CLS3y*_OS0~RIdzSX<RW~$Qn7e=7
zDMEyPJ_2l~&a9TcdKVc2(*c7ws?P{m`(bD2#_E|4+?4Ekdo6Udi&8TogM-dJdE*}Z
z_^oG2n47yX<jez+$}((dlvBFexz$L?b2v;@Yy3L+cuNSLJNkIr2!V_F#l{w0&z*Ar
z&r7%dd;5&mX6y_*Mzh}As#i&|=A0RBEp^6O3P*S78<;-ZMnMHL<n?AmcgC*!E20VE
z%;MQ?qZBT5({ipTw=rtVJF~l3U<Fu?_vg>@B(K8$!EQxje{cBOt-$cIA*swkdNlR@
z)QUD%pxGaM=1Lmu9JY|>t<-ND?Ze(*uvm3X5xKIGA~cZM_FL2Sk(sLo^C4l=&evi5
zh!2MoJK0ZQvi{IHecR}8$*~rgjLS)qsHwd(tUPeYB<s>t<rIH%+o)t}AY$7nVP#@y
zlCf>{=PJ{&u3==#Bm@ys-fJ>BHpy89@DHi9qO1@Am5ji%f<DP24&-1sU&e@T<G=yf
z+pTD@W1m$|{92$MCt1fBnD%0?wYX~RGI`uypnh8Li?@rOO4Ia3MHQL5*JDn7&BMET
ztg1EWOe*R_8NcS!`>))(%V`AdZ~ewX$aykhM=FDb#HNHqYo)D$hLP93ZiI~8Rt4}w
z%KnsL>Wf%X%za7Mf^>xgQ$e6#O|4<PYUJr_I9u33wbje7>-%VZhbu@51QTv$5;#ga
z*h@TkN%TR!<V5QZQ0pP=nd~MGIl_Q$5A$t8g4$KDz(je50wt<liz<4+v6#iNj`Qii
zs6epjGhkD%uXpB)oqQF3ljYKVjhEeBR6(<83tETK(6cWx^3N{JPCpeg4-?GHg&poN
z{4s>DMO^4RsLFL}jd3|qxLo|8*(XRrJ*AYE$E+m;g4SARkwB8xlNS)zy(`(CAX^?J
z`Uo~!BtOdBV6d>1nLEv1H$~h;aYkk>z^;Z$jV*s6a6FN<$AgkI)lDInS>~cw6~tX=
zSCS^StCWI{NV)M?Os@~jBt1n+`gE<JmXm`Wl1Fq8hbq9;A@H@;<TjZmC?g9U<B~(V
zP$}ND^}tzk;sV_6!tz~|=*kN3Q&&bvs9&g$LoV_z3OF(Mn>g3_*F=M=6PI_M^j1dj
z-fD*l@FFv`TkNu)-{4BVCV4%2y9r|rp*CnDV>u5}6Bc9yC>N)_!;rK}wf~<$z#nYS
zT$Pso*rU2)`guZ}Vj<B6j;~ha5*E?*-X%`1T(@BrnNo~~zLI#3skQ$6vD!~foNjU0
zAJ0!-%B*&f+7Dyw0kyOS+e00wry3av<1{txbZ(U?IS13tjXzGh$;Jzov6cq6k>(0s
zOR(D$%2Jd`KUn5&XdGsn<4>%p+=SCAlfKz*XSwPIZSd2Z%j7(}HPush4@di=Sr<gz
zE6sXjO-%@4Uah<?5w#jht0EM|HCGMh*=ymev7a|VEh08$cm9_-avnZ^=JecPi5eyX
z2GWC3pwtjR{)uIPOXaqaZz%EmX+$w4sRV{uHXihg1)^fQ%`}Ufh6l*IL(B3JCLs8+
zTp<SX(`^Eh=151`hh33rnZweha=iD-Fwb+fGujTkWqBz~(Ohz4U3Q~s!b#|WpSuQ=
zl?gCEY4fjw$EMbpk%W<o`e0xp{2?!f3jum($+PUgON1A|;<-uLFQ9kGbHpFs9Hh7f
zeepL8?;lYBpWdV!G$bszX1IqVTYcZ|zE!jA><qgxLbJ*gXts2z;cBasn$3Ma4ckV)
zn|Z!;NNIXoG@Btim5FC3pZQBUdB#sRP)9+mZ!~>j|7Ji13rP<BVR9I^ZRB+%#e(+O
zA0rKgU)YTH++s6^8aVuo8>ic&oqxQuX{@L9*3OP<ZZ^$6?%C{%G;tyT*wv{}5}SMU
z?zqf-@I0EHp3yRW8#hM6*;6juR#}=K(C~vNeHf?04HSpT<6|<vKmCQdVTJ(D70s^b
z8cn1p5!p*(YE$l0NUyk)+JtRnM(bABRLg6tgFg*#8~vaGjpN)a2(hwE=)w3V4EvjD
z_@y<hDGZNwTg7Y}*-nNp6j1)KCpVxsM|4mc$%sa6Jzr`&^$yHlYEIHM(}K4QK21Wy
z<#k&pX+=V0xjL|14NxLM^t#$L;fNaSzsC95_vio1yO!pjtFF&uN5;Af;~;USi%GD#
zx>IlY`3~^Fwp1Ad^x;gJ1RfgEFk@ke`slYO2koJLj~P;9!u0YDc0<+dxLgqpjxl5?
zZ~-xErz8zI7HbY3)@Ndbv|zt1pN$xU+JOX8-RNq6)Xp-;&07Mq@@A+B?VQv@4&TLn
zWH>rpQFvulWp&m0Iu~@atF#0h!@G2o)R-uYz+Oo6F7r=2<l{cCY9hF>yd)3T%b<+#
zYPlwavzJ*ZTx{^-Tp8(&#0I`s3Jw@xN^s@?rP))-LeG{3mnYPZr4)Awt3OS~LIa*;
z1KzzwihgL~oA%2a&?xs#P~4qar!YUN2IWc!(<DZ(9$le%-r%6u*S3)M%}zQ1-8~u{
zJZ^SvF(neM{!PuBnTzYNX#XOvD_!1JU8CiG7Y87#!X1yyFcoDGDD;ajk^DzaI*a+G
z&EU!RzAvWOsICm-PyB1_!w2JV(=b!I-2HAFx5RR=88kz(FI}kvnhkt+{js)+T>~tN
z0qq3qjakJnF`Ldcx0UGeg{WrYyw9PxNJ&0<Jv5(w|LgHC@J7bWYGj2&{J2aHkJcpK
z;K5-ar)j1F?R8jt<3Fuf^WSeD`9E1Vd)z_uTm0^uA?d*WYxQb6JlWq2-|N#HaAnku
zBBYoSKbc!pgVu!T&jJlUWXuKfiRUu<qWv%3vjq5vuBmy6s~m}?aT=KOV1yG=8Pk1$
zX&(?e&SaLWpBI`qHQjXOe0+hFBClGftm^!*-w+YQzPMRr%!A6_HK}XMaFmOab9_~M
zR@*!n>d)_U2t2IY0VLiG732?ucjLgzw{ra(&CzBK4|y;>xh4ou6*0F*>Lsku3<<g4
z0aqz;q*H>`ryp1R3s!5v#SPUI&CulcM6U+~jDc8(!b%0aanbuOaAqc{29$E7{e@WS
zN(-tETp@n4m9qXXjLSnJlvfWXBjI;eH9J|R6t4|;>RJDxPkvkVaQKk?`}t4gcT|y{
zn|)1?Gijf5a=0yAC<ifPwJ#SD?j8j%NZEq+F8h4^QYtmY{WQ#e-?ZkXH*f~$MQ&CE
zvspFKfx5VLumPhHe^uom8QChBi(N@ei?HZGb)fTDKFqyLxGHdDsh8S7*@*!T*xo`{
z^GQ?X@(QVL_;0!ZzRbm2g20xbP#Z6QSm?1BZ7bG3Y(j>aByW6KreN6*rq0U-`eIvG
zsu<CI@Q>Fv2A;pAW-JA<3n#kMS3g;Ko3j<6e#(0*eT+VD3AsWk>Dzg)F^=I#?4<I>
zFmHL;AW|iVM8~?V0?3ET$ujq*)tnQdezGd()u7R)O}^kMX0jB;fA!1m$*Z4!_ar-M
z&4<X5iTL_z_&e@HiWHl7av^+I0LX8I#1cq!_xl4uA1L@xMj*PUXRF>;wFAf5%S(I`
znTktEdfQFGVOE!A^+{<4@eNX=pYAibATq;i@B!VOAZZ<FWA?9?8+<VtF~T7tkzLxl
zvTgKaL*4GM&W9P1G5emlbQ-M6Mkbp=;yJJ02`juX)wH(vm2YO&bHG=&3|L5+S``cd
z#k#fa8MBLiqt=*byFE?Vg1=9~{4SBYZFF45L#(s>Cog~f$J6uCN8yK-RbV{NSt6b}
z87GIEtf*$%@y1?({>g9f#~3BoT4MMYxcQFWqbfbOK*znfZFKXgE7|ZG`C(*!OB$K5
z?bDU*CElJ!YoZZRHGV&Ki95$bKKm9;ZQpAl&|T+$pnur3pfg$afniInKXg03i*A}G
zcT!(ZK&SGX+9LOtcDmpJ!40ybZ-Ovcc=}zKYim%-g3@19=pAi1K*a8<fAml%I?uVP
zfF-?yW4QA*`%bI1A`e`P$LTDXe1=S*XY(F*g8EpqpNbqk>S}GNrK1d><~1`exn3xd
zx5KZ=ke%P~jznGjC3-}iA7f2*)6Tt;ZX21g0WFDfbuYrandB@7Ys)^As{{ZAPU}05
zzkI=^+wpVJz3l=4Y26yq=t8AsWG*dEg!Dv90Di-s>|l{qi)5pzC0fwJNx}p%1J<D2
zfM^)R@6OwIQrehwVqnMzOfI~w#5r3?d`YpeT7JTiZw>5QUZSwmb4(e*C4@1T71H*U
z={o4a3!FN;sJJ)YS=SO_8)IoH43SxB=Bg$3FR@kl{mlIzgmmwaUMRuGQVh1iEA`&m
zx>#VLOUlijf+!zbU`oU9`<yUN#1*^EsPj>8Cg5yB$-o;Q7&*UC8D!y9wktBtsV^h!
zhoe$&_NTCL0Gbq;$&!A5_C{A?EY&U~4hHtWY-6We?=pcj4}I}}aGTlR6mmj!qJQj<
zQDRPQg$vpm`aJpdR4;@wl%ePG)Ae3KPcMn)Tqmt2A*ObahB)7_hh58?Zdc-=)2ogl
zq4$Tl+P>UKN_O2wR#gsV%Ohhs%*J~$uKq-;;dnSBtNiBXWW7afpCK6gc!h?veyWOI
z<}SAO9s$z|gB~&XpJD;V{s(qy`)XyO4UAu!RKb8<Z3@x{r(|90&Yp58Bnd22l*yzo
zpy|5ZPdxpOW%vY7LBYWYys<G=F&`^cY~7&?BBpgmX_HeeU>V$vQ?e_tl-*Kz@W?q*
z<Ga)&7R}9o1-G>DABXsm6JE$1&3olda(@<wU`pPBnXgbFEQCJx=d(TP`(xf-U;HZ~
zY?>-jnLNcMwUfwnQYp(LL;qaP&;LAEb}EJkmNR$C?7fW=UAob$ET5x_e$-(P;|JoI
z4zv4=0To4HK9<q?Vv_oZDxO*zjCONmqWB9Z-wF!@IU~`7h#n+!XxnJ9I@)9y<9tBE
z>bv_?5EbMur=u$}PUS3)sV=NH=7){&%KEfwGwLyNVMGV~?kzC_cjev>1Z3xqTM>=b
z)-6<vEN23$wmm^LSvbFCzt|q9+K)!%kT713<`TJSBmE#xgB0|=7C23F2!K;E?oRO%
zM(30O8k2JD;?>|G9pPM~lP(OFpawK_;)`Y3EGS5frUPoZ^N?BbcwX~fhKcj!oS2W(
z7NR#n*1XM)7H?MZJ57#l+(TqO@g2OPHQJ?Zt8)pxcWEtWFsONV2@8(iHtLlJ<~)Zs
z?Zkw$!j*3aVsh{)J*9n2cJ);Ap6~ShMu79S5w0WcjuPi(;ZL+4A~^RgU*(voJkl1c
zzTfa7So&-mwWPEsL<=si_!ho`+}1%JwFlvUPD+jNM3vpa`&vEANL{qZvkx4AT8NN#
zq>^JKlWQDuOU<?s_S=#lI>B4GI%wit+|bbO0XSIb5K$QR#sqw}M+p0%>R_@QvGcnf
z)XvrZZB(j#g+mo~JI;)}-<nAUUSm3#tb=HHbN}T#tA_Z<YPaqi>`uJDWetK6D_@G0
zx14)~>TR&W1?3RJCjG*R{0+fR_S;4;JS_Ha<v(##01Qq`?$mZ~$c$x<-FFE38V0D_
zg4E1~Dlxgq)+LY8*tpR#c^ZFh19f1c+j&xLb*EwC`tR$vjS$iE+eRwoRBI?IZ#Kim
z&o>bHU^+u-C0lVH@67SWDz1~ZjjAn2Jqy1Zqv!dCUTOEz>uIO@nv=JUcw^!s59~&d
zpc@(vPOgy(S$iw7-$9MNhu5}^!jHirTi?J-)z{eF;(sO-XWhB8T22(&SUvePoxk@W
zL76yt=5s#Q*BJ)GRr2`*2~P<Jf%>qN)or7a*=(HuzU-lS%kvbe@7>KKkvMnNdJe>x
z#b4v(67?(Ve;IEhre8aUiF<Z3aLXHLeMzs9!v}#5hKV_9BR6Jg+vv~K9Up1C^_<W0
zY&F$B+$&!C!gn)6(<yp9V<6?dYz)6-7?|ArmJUgNF#F)zVSJRf%(|teQ5f}Ei6t4d
zc&)xIA*V7i!_4g9imSVEm|bFUWDce=ewx9dP^T=jV>B(~WJ5`cY5Co%HLZhRB?E_B
zC=#)IvRH$Ave_Y1%-U_E#8AkOugABIzD=HoV}af8r}*nx+eQUU_Wf-m;ESIA5Mf`(
z#nS}8_ppiIyxEH4WR&fX4mscM(lW)%bqp^YyVJaFwC~l|#Jw!9EYrpSfujYnSjY*<
zGQ)*@5>$Vm`T|GRw&cyOkcZKch+7i@Cg54=+qDy$uA<Kl6l_AEyK9ao_k^+YB?I3%
z9MzIC6VRb^7jRy9om&W418@<dv%Z2|r!G!UA?J!{4R&>e1BT^LKVZ-59IrD%4VoSo
z6}i%XcqGWvG2us(E5kqj<$VkdcKT9(kd1v4l;l0r+G<RGXK-uEo=;RkTuTi#i3_(F
z!m15)*{3gM<t)H}_ekZ9+s&6mlU)m8ou+v6pi`m7Nmp?{&Ktnt#kkwbcU=u5*HXlr
z5Ia1_>ag&L`&^$}wsIh4sOqkDD<Xw;ns;%_aN?^vQsM5?>ks-Di6LNQ?l9WLUVJK*
zVR3yPcZ33Xls3!f47lo?qA|||Hl(F12o>bjWYks;KppG@mSJxwb^8Ex>S1VH(ZEw`
zl;ck_x+eFUn>Hg;`Q5#)G5`a$B3k4@PJ}I$tM}Ns#pQbTA~}j{q?i~R#hn*SU~_2D
zk(XRgXk&Y@Sy|WXC~Prx?$kM@fO+wNK3hs2=Ex&+Nv@iaxr7Lks}>$#RDp))tyCB7
zCxBy<5*PobSn<EtcGm=^^8#eNOE);hr5xmqrs%RddEYP-E~Wib`wHD=&*rJS>Ok8f
z$v{6ctv~i1E5z|4pV}v{qpgEWxyxF_t#+Ua2GZT`jjBGx@zhdD`MW!HE)<y4iY)M~
z^reeWkoaxOl-wt13OGc_N$uO4j13!e>o{|d8?QDgEXI3RB?oNsr*b|fA^<+)l0$}s
zpg7}S`BSjiUdnea_9ezihwaLYlfu{PG&3C7l~om_QcSA^e;_0Q?~;O|ROk+ZSiDi$
zc|gBBulkzPLMB*j4xF0WNx0mL#ERxiV)n+EFCu8ow}MZ&r|qt)*)<0ASWa(nSXcsB
zvvVp3l=wXZboa=LxY-R)GY0?eNr9!sxsu2F*;Qrq50s`XolnBZ^CALH=f4XlG`1Rc
zw1+-yZ=zLY)7%hIxQgkeaJr~(d6Yp-m@!$HG@f}L%mB5KiH>2U|5skVy@`(D`}4o<
zeg2#MyhU%IAK9~N(u9-RA(*5&o(bJGlHj^ZxL!3(rQFy6wVxaS2K0c+mcDP>Q($-i
z&S$oy?+Z)YGWVGsmdQ`2G2ITfu7Tq6W)Nk+j5*A>(j1;;=NRT6tg4oM{&Bt`XftE?
z#gwh<4}%Sn4d+x~NOAq~EmGNEXKdPCGZBDI%Dbd+K-^M4RRgQ;oE+FTsyz1L#40n+
z+wIxJ{{AG)uFa-JG&PpW>&|dwMSoh{TRfTMjK{Ps&JOs!9T^=Z<`w??p1u#;an*0v
z^C622^?puj+ff_4AXT8buL#S04moCP!wQ)}hu0~6>S=MA+6KJ~bMU))!=ra&>X~TQ
zG{dA~bZv=_F)w9ZC=9_`oj~1RY{;&|{6mXpFpcAsIb6+yMm23UWRH>e<m>02O}IH(
z%mt+6COiz5MwVTG2jlG{qc*@cn0+Ng0ApF~m%({|g?M^RH7B?0MN;2bl=fzC)r0_p
zmjup{RsLVi$Gy#ZKB?stXFaMcDHcen^?)WC(@?nu*}Xb=P<e3MXz&A8FtNlQ`Es>R
zQT%|58=-j#>2-?u53F^hn1=trS_gfQVGmi_*!tW192JgDx#zO&#$;M&5Na!HxNG4o
zzkeXL&o8yb#}G?XZyQnn{9E>xxm;ng8aPh0^7A_q*=#tT+v&dmB-+pgn||%8Kagsw
zXIz#ii)9`I71OqRVyYr>K9S{F_7~TklBPw%E_5je0))CI#_|eftn`Nay~Cg_&ntu6
z3+sHV)P|JtvM-YbpUdc<5?q@vcDFyJ7NUwI!U3zU%2qBHy549~Vi}o|<k7e_z(7g=
zp?#r5=7|%sFRy2CmOSFvHG14EUiI<qHFc2M(fUUs6&2<zlwQ_yG>(yFhf5r<O}9w|
z;bmR;Un+nm?rtZ0dK&_e)H^FDCs$8}uZUOH7o|rX!09PfHNJl-D}>UT7Z`m$3x3`l
znaio3ER|0KE%NYDG*zFn(p^(czPPkpxBql!zaezt()BHpT`p8@HMr%kNH#u$qnmSd
zyQ6Q3-Cu-5!T7nh@rkQ_@kz3ZDmQr=bcMd!*fT&eScjmF85%>9TB%RVlt1X4$w<UK
zk-{;pA&#WRgMbag-md5lFLYk>kt;TmBb)WCBk)xB&BlC3FGv8?W%E>6Cr0I(=~rJR
z0U<lv8jPi^y-lGj97;h&!e;%O$Om*-=EkLMqX!83JKC$jWq5_{s^o@XIMh?g_h6MZ
zZkd(Eba=D)pAC6GXxOQfby?;uU9pctih{_L8X)IfjBu?rSxf<_{W?{d_ZsO>ncosT
z!Jv)GG3yo7k#@>lcgfmL6r?^yENke$kl6x^r@p%}A6zC!4J@V4c?F`xhhwal6mjDm
zqD_6U6f@zBS}#HAD`Of&pxAu@>-NRV)9Wz(+}YFzTr?_NQ4<2Y%_mcFUSJ3UPi@g?
zOqbT`Tv7zky&FNK0*yGLDGSdZq465%Fxc3OJ$c#q@D2=06BYDxM*Rb8YKA8f$KKEF
zJqk1B6qd*w+%ui^+eY|_E|7%DP|QtbP3o#&E-s%|Mt?Jpsj2fix8~?}(DBJzMf4W4
zzjHG@Y1BTxQhc9vUy2f!7TkDzW&Y;HjX$s{kxKK8f<A|&ui7j--z_{TF#Iy_3;dCX
zrIB1=-=SLh@r3xKKEV9W{9rr}XK!GH!~X~GuHH)Zjsx%%v+}hdK(v2=59;Q~L>C^q
z>w+PZQ%Y+BF*k&o{Ydb9Q*UkOaqeq?|B!1nIk5fRh@eSg6I?hSNbt@NnN=g~L+_5$
z0@Nvo9mFxMy{H&ov97B9maL)h#z7lsQvK+Z&Cx9WA#p^U**qQ)G#&{ArATr==HDRh
z0gaDnB>B@o6BlY*^G_TJZk#hCKAH-F9D4y4b0S4~b^kuF*LozI-<i|C&@e<+PhZ8)
zs@;SWU4f&Uoghl_J!HRp0O#N<O-c)FBl&*Cgo`8cwdT)|&MP&9WeTB?<4V`sKYI~3
zAyY=LP${>@>Gzi`!m}&%&!fkv<eE2Sai5E(lB#XN&-+%DQ9DtdtURPu>@B*v8S>0K
zEa*MjHtd~B>vkE!2t89%8IB*P#==}>IpS>1c%BvT$Q3~@x*`?aZG3|GCxPr=xU3~6
zW~9We-~1c@|HhPei{a-(_C$+JIZGWa2Q}R<6Tg;lAb(cDWJSXa8P}&#V&hS#6w^qL
zMphsE=AL9I$k9>6f4y~axO#sj;;?<=LpCPln<}Eo45e#{Hrhp;d-Vo1%ej;zy^sHR
z5ffrPuMQ5;8_d2@4*FI%dPN=_X){i>GttG3%G(cfIdNS1+O7Cl&djD<Cpy=hUO9(#
zTlv73o?qy1@gFhZdDLLPDlRu2VGlcpjmyZgBIYyrVnkH`y%Jm%K&73n?#E;-GB`gx
ztcN8jRa5nS^=Na?HP{>;3U+XQ%Qex{yxT}gIre^ov@+bb5#S+LDG4okBbd$rE|-8&
zU}GtD_GpavVp6D$JsN~{!9r#xDwB}^D9Cn(AnLMm7V@R7YhYmDQs)tI#S4FYzN~Ga
zFe!evd;hhiF8skyKolKXU;Lqd=i+84_w_5Q!d++HuX6-UCKE@{nOrJ?)W%t88@`OD
zNSJmd2j1T*(aeA$Cx-OwA7*V@kl{+R#&KWVC8e(H)8X8GEwEKomFO_R&!psYe*E2N
zD86~HIT3VplF7_aNNH;up!wi~s`<@S`$J>wz+{eVo3%SD?#}EY#y)>q`=QhFmOgKm
zCG}ieDK7*=j>%|5^Gs4FSV3RYm;C2MXZ~aRBcs6#&M2p+x14WqXpFcEf7&Fmj12Wr
zH*{W5d9*HrXGb<y5x#mW^R=}BqkP#KXvtE)XO!IVavnsTc*BjSYJzIt@d|Y7Y4fq0
zqt5bmL<nDwJzl@xqQT6ZvNL2S6idiA&JAoF#kC<v?e1!?9~JNr>RS+|pWI$vOl_Gf
znz2nDJH3+f;R!BD;zD?@DxCUPMQOo$!?sa~L#=|H^Fg5ebeP5jwX%XZG!@Z+-Zo;N
zKV1=)lL#)9H28f>tGY@$nU<Yk;%oRGO!HBHB9um~^1$O2nq^jX3v~H*-St?sl*)|V
z2|=_E81~Mu>M5-uJ;I%=`YiYO=0Ek8fCq#*d{DY$!U4)eu~%<nJn^`gZDQrLuHU$-
zb-<XUGF*G>v$qJ***=9KeZFtp*!xPCmk&FI^K5<~J9|(SXs2QXdFtR_*S|7k{p1OJ
zT0iE&BFN}zQUNSEeD~B&6yNAKycW<{+T73?CvyP9z#dq7vTYPr#rag14tWw4^ve)M
zVr4b}HoJOjxGAf0s;iNEE^S_3u?|OrJx&cV)gdJErxAPt^v;-_nY>yci9NT07#Z9Z
z>w&rdwxc`v0p4M-WLn*a=(Tq;DFd4J_trwad$MSI_q@4CHQ<G<ieX)T?c7do*0m?!
zopx|(O3=lbQhNd=Y*<j1O?#U<nWmB)(<{J3F<QbE;OP;I9RNTWMUa?{<aRQ)@U6J3
z5c-jP4SWzJEmaw)*wHYXRT+QofSnWG$wX==CEvC5KT{%V7MU{}Ucw-<PEW6EnL3r<
ztM=y*8!v3fU|&?{yKSR$v7;>Y{--a~%dB@wA%*e1X<FNf5tZ-d10oSaGtvZJ5}vMI
z^A{}24LD@u&#U~8gyWE}5(Tg9`g9GZ?yg7gE$`nz<W;_Zf3vlJbuup6E+G3{y>|84
zz3-O~Xs)!}gyJd$`n%~jAVT1kMW#~dTa~e^^teANwc4o!^2~km(5B=tWnQvNU$c+z
z+8pVTDp!RZ&tybFr+fn5MgPQzkt55Bs-F_AeqNZRA7+~wPNdYm6otpGa1e!k-r)tg
z?6M5o4RqQ;(;_X6??wLNKPjv6cemeKSG;XYel*18q*cWd?dnQqGgeLtT<mjj(gnNn
zqH<@UgYV%*aRnu0BtRIE(P7o(31lIHJ+_TFDekjyACr-amgM+wtNsmdpwpy=kriJv
z>ar|e1(r$|qytJV?VFfb*H>`dpJF=a@Zz8%a-J^yHor4?U*qX4PqQZ~srB8t%@jp)
zV4x7un|9e$PG1BG4r!(dN{MU2VmBTr&2ayhYu5j(*|<pScU7BJiU`h8_oS3>NY+h9
zBGMK#84V-8qP@Hv%xl@KHS^ZjJoGw^hw!N?xs**Rd92JlGzoyUC&8#&P|NDiD0>?2
z=)wzWI(Od}a=PcfCqU;&WYr9XZ`SGL96>kZ%SrC4ao^Abq!+=hlP=7rs{@&h{~ky@
z?&(#6*k63{ZwFv^P2{x}DC@+iW~R5eC9-^JsND|9m(ocxSmL(PPAEbe^{<6o^tAeM
zl%^+|m({OD5Ra!a?dg=ClVuFaE5xM)P-Pf5;SQBd2z6l8^4MjsJds%=zBOteA0Zlh
zH9=mOol*_w4EnrmLiZ*NYD@~DP~Qvd3AqDES)HMA%S7Dqj#{m#I=i;{YiCgp-Hprh
z5a(Y)^1<5Omv6NxB@;8N7dRu{$Lvk^dzqVCWZ{H0c6SQHDl$&p+>jIPh2G5;yQ9*v
zUuAQCH|!nvS?T1aeNcH9d%u$(5hvEWQ4HX~9A)^DL<jy#iV_$K=MxCaQ67EpImSRk
zX1U+)mpT1wLACdWXtehrxbI~r;_?<Ywf`w~Jg8j;uFh&<AS3h6SXSxGJ{BW^!@ekd
z@1=gI%(J)+S$juwM}6qzps1z2_S=a^-p^xsrNpR4=Q$)B`&jy9(ZprmIRDK&JP_lH
zZaABYWovd~Y}d>V>>i6{yEgAF=LGZ!OOVm@M-@S+oR&Mq?LC}qRkRjX>m<*Oeg{|G
zelsz>oG!ARqy;-aYh7M6zZUE3jVM9hA0h-j8YvJYuMjx+qQLHp-2~&o<8fVOmPsBk
zvtGi%UpJmU$aZB`ifL=NsW-~YSvGD*W0H}7{Tue!e`{YX)1>atcSwbVqpk?Kwd?}F
zTypUnaZC)RO1$Q4Pa&18<UG}G9bDu_eEG+!INK86$SSOLK?j4zM8Al6EE$z_NnueF
zpGsrKT-4f)2XwS}%rC9R`w^{G47|Vd=jBhq(d!$YD@9_j(O7HWnrwVg`JDV!sY*`R
z%PJaP2X4AH0Ij$))#bAGOX0ii0@F$WN=r{h=_grBV?)#i-Ya4dEd#zWfs)AiX6hJ~
z&d)om_{@*5ySVc=1*3)8H#F2!SJ2L158z@}X(y##!QO4DVeL**w(n(e49wZ2t4Ey#
zTFYjghgmc~fVncxhE?TN@o|=CKEifm7xWYndrBXpQ<<`WcEf%SeUq8xG?!E7*|xO_
z0}orAq^vXmnM9<Iz=J9cY9GIlS_dfK)Z`ye?m(wYRi%t+y^7rO-7)G)t6H2o4~H6-
zO*b%!AuHvnBBt|oW@`BC#G}9+Pk)4{QW%%cgFuXx-}Ee%mKSVDklAqRB~H(IhnJ+x
z=Ubg;Wdk9&Etc(zm%lqoyr@ZmgrCd6Ue$gtoY2I}rX2=ueMKCC_oVsVDJsR++iyK%
z2WDrgBwZd`H{L>5I-=}F9px(1!i4uX70FpAum=OncWTD{zw{WWoWf%ma>J&wxiC`U
zH94>~^y?|to{D3+(NnGP$S6pc&i`DjdMb%AxsOs-$httZ6mQbaqnJsfv%-Qtu;?Ri
zgTY0^)LL3U$+pBEn4R*d0hV$0A7p4Y#2aZBYTj&!uX9mT<x3=Z<O7nzr!ig)C|>!0
z*5b|Ot%tsj9K1Nj6LeIXPgYjtf1Jdyne|#xFZ4y9TBno%u`+((8z0uA{(4uMv{m${
z30pe*k8gJQ1NMr%KOg7_AI1ehKSF^R5RhVO-oj0zl9;I?Q=W3a?zJklHhaMEIybw5
zPsQ3c`doTjyKVHbk1uCHIfO-VwLse_Zp~!9<L>*Lezqk{G%0#aC5^GupkCJ{m)A%W
z#C2&q=|RkVCpr)1Ala`8?eYM`1FnEklv$`@Uao8T`Ms>7W~4cgFsf0UBWdIyI0$r}
zHOLYkNlKjSZu#y+7KZ>iwln;g2}K!z6yTpttQ14F8+EovZEWVA|Msu{^%eWS&3@~4
zUzW{6ga83N&3aWSE?!j<ngy}!GY>r5i#WgqpF0)G81!z{a0>)80YlqHCuq68^T8!t
zFH1s(V^HpqoDi+^Q#IvP`sR>>tKNNr%WQYF^o_MYq^<#$3X<9zLms~P)WnGvnslpV
zzpsqD(PHyj7akCvX0}&^4p#pq?Xbgv-je&&G_8JXLti0p-}Iq6M3htOUD<mhFPlD|
zVL=`~lXC-G>m$SK13#Pz{z}M>_HIOim^%=<<shli4<hxokZfY|?HdXH#e$LP(=8&7
zYyIpVl;;>s<MZM=4=iUd<8(xUYUO5xkIM`)X3Ul8G=E}qUunQBJK%pX_vTS)r`fu&
z-E}JIt_*hCs7VyPWhz?67-Nj{KzC;_i31g_IDkW!8Ye{JJVSS-GB{Fkp6QAMWfX}~
zBq~EEio_riMNvT^f~aT^QItW%Yr4<9>)iXD?{=Sizq`KkuEoDBew*KZ_I~!>@3Xf8
z81&ReD%QR((BMLMp4L1$%<bjJI1!_YP;x%-xXD_S*k%5aBMrO`IkSWIpY1yOIDG18
zy~D7H-6Z00N|VASlU7)RL3lM2uyQK=LG^2hZ^O$`DkeM!06YSjmYo*t?Z$Hkzytlt
z-k#q3u+@)#m;X3B#Xv=d+gk{19y?e?(Xum?g??<D>L9`|di$zE-Ms$tFaKU0#&a_y
z&~Oy0HLMh-I{PH<?d#~i6|b!?NOz>CdXpBL!3Z;J0V5^bos~VC3`_0Z*ZD?%W9ilw
zUJb40Oi$7gGFxS%Ycv;}W$Vqx_a4pMm>3UIN;laL^Q-&snVZ3*{4r~Wzi{7nPOM&I
zxOgL$D_J9~kooqY#+i)-nO15D)mAd_1#Vg!PJ?t2b(eDQAjGG_@1~+2wqD+}YjIQj
z0@ahD6e+Wp>hiEVEYvf%T`l}rs?{l)0n+tky?HhlAX&$5<b5|W?-NA$j48`)X?4RK
z>RhsdP2f?M_5JC!5`iR0YFl;8!{EA6y?pwo{zp5E5&5(ctQ`z@Raaw*7V~Cz?=@&$
zI0M0#ukGEf@3S!pcdwwVuC--`u~(#b)DOJ$&*C%57#eQM7+!=3&2@HYe~<$@yjZ|B
zNa#!2p%m|i#RfMxDggJb-wlKh%{E#e<na?Wca^6lW2qqhDVLrSm9t5aC?-6@3NQfK
zakLk9p)b&o7qVwHX8Ss2VhI-qVjnLU=?e9T1fH7+DaPt+4hP6`a?QaEvNp#VT2_LE
zY62Q&FfvtU-gS#StSrM{(`4jWkQINm%nRxD^mS+_FeMNfu&*=!QT*{c&T9l8d3466
z3^0&^!jpmg<30bog}4)QkBuIb4W8<zwv_>d7kk-OnF*^20f-{?EYQKN0<ED>i%HgA
z;I`lBYk^N^sg1-yy9Lyb68IY!`>YAY=CLW?f#}J4oLEt<2`JjTtKHRYBxwsjd;Ftt
zyU!g8g$1y}zaA;P=$ezY-7RcX_NKiY%KDD^Xda6?hlpJ2EsP|IW3eWlF@cHoK-*Z&
zbpbMF^TY{n<4%{nHCxsFO{X=k?98}4e0M%;qq^g_Ql`Jkjf<38wso~NI*-|%6mh7x
zSwFHmayPTDRHM&K3wP6-v!YldDya#0dJ8KCd&k4pq|ooUQzNHeBt&+42U`KNxxyYA
z@;ta#>RmyAPRQ{#C*nt4Dqv3<8|OwSH)|FgyRY{d-`Urhm>(?zd!8%k+ShqgBN2vb
zkhy^}E+(`76?<Q2Ap0VBEpO{y`%O)L;Wh8S34NogtI<6}lsmusyLEqI`c~!^Zu5Ow
zR-&V48M~%Yt$EZ+UebNu9gK!Xn%vHv7EAS|Ty1X(dVIZ{R=XSOjBZ>ZaYs2^fF&a_
zNx2y=FY3>NbvGr1dj}}nvA4sXp4``Q=(ylbWm($lA&wUA0NaTtugUW6vi9y_gOpRN
zi1QlHFHfSL&>ojAY(fljDRG^7r0nZUEXZEdR|saC+q5pvh0Y>l7Q`Ut$o-1xRkB%m
z$+$FTMi^b^@(QQ1A8F5F!%h-a>Ciui2;4x>|L%${_rsb}fp<RT!gYnrE@<YB%3Kyr
z%GlkJl>mS2>|Eqnd)RRgFDXOsmcXB>L2YJyf=fpJ;>&PC<#3)Gu&`vDyE0D$!&v(|
zcJ?{i=ib@=2j8C>4o-vLqFVD0n<}MT&GE0bcZO2z&~%BZBZrWw(IVe;I~S`X0r!F2
zuNyiVEx4hlO$F}vK45nx$IB0pCqn|WE}FMt@VYd?wi2zy<3cd-oNW~9ISj(54NEy{
z(ooV)QE2#Iw?WrMQvF^;%;T9E0k$-{OMhCF`ELCK{nloOFNF2EB|?TgrT)0DbNWqL
z&out;BcU1Ty<a*Zn#JpXp*cHwzzap~`h}b;j%hpa5(|O*$Do&xi>LQ>0<GiVn?C;;
zS8zD**y9zK?y<SAKWR9`n85OizGXf*h$eAW$8UpcEbUb7**pr486DUyhJP$lWtsZ+
z&GQQ8MzR=Hg*4II)Lv~Eiz~~$$dLHtgaOl}ap9&5V!K=yEi&&ucr;I0cEYiXqb?jv
zC9Pps!@ZXTFBn2Vb~gsvMVI&b?$i#4K4)8x+}~R=vqV7+pggnL9AVQp0#%|-9gF%_
zX8Z_quBp~l$eoy>bv<I8(2MtxamKyNr6<btHOUb@N?ti-kSxcp#fRZZHo;i&r;3@a
z?Lk1-g9Q9-_psy=y$^W%RsI}(RF3?T^gegzrZjI1y@4~r!}AL^Lk@+T*k$OJXC3%d
zdqN+AI17*8xxl57dp}kVcVU&0soSlRZz9nX+JP0VQoYu?+#pEugo|Ttd`D&y3h+`_
zW5O>=`Gr#wJwpz&&2fslfQ-=>3*Pr5pZBLc-#(jx=_|hIe>i>&G<Z*fK8!B+8vxfp
zQP2Rk1a6!YWE+-~QBYndEfTJ|j7LOdyh~^__|3mRlz7;Dsif-c_iEy!#?GBi5EDyy
zU@&$>lP*ngZZ88+?8&e&nHHH5bd-=XzMenQ1>>EC{3!OgvBk?!dzEn)F0;=rS$Utj
z9R7z2Ean})v;JCM(*k|ZXdCoEvU|8QbG@0}Jjz0?`C1LS`2ingkxh~$_ekxw92H*p
zMkd<!i+<X9B$!t-1VRrr-}C8^b(?9?X^)S|x8bdGQ%M2c&dwfBXW6TvUYUwb2JAxm
zG=GvBHZKWzS}Dgt_sDu7p3mohF}kSnINm(Yn$IubU#+RHH<w%<4ambqmbZ2+j%<6f
zzMsv}C>hVp!DsZU#JtbYw2xc4HimRRt1CDO000|^%vVVYR9#^+Fi{S;mlhvZg+8A<
zx)X4@mGy`fe#tNLj1*}L`fc?;5aFG*CYgRng_YUd+5+4e&%)ZpVm@O?v`ms_KrtiC
zI+6&DrimN~-Qn?Qpl6|Q2icK(GGk)7KODQ=uAq*|X8Ut0YCRJ_<uVQo+TzFwp2bDp
z1w<%Ovdt`NJ1s1(ffQx@wL@qOnf|rp!2u?1*U)8l_G_lTYTOUlXg7tj0J<G`qU5Q9
zUYAmcxBDXvPJ-rng)6N&`#OK1zEM}b&-;D6P@rx)_$T8EhFjTLLINytOYgQg`R)`K
z-wtmb53v)fca)Zn3k@=Ea#us2PubA_UTyEV`@D7HRfu^f8<=w3m#vP5=4N!LK53h;
z(&_*M;U>314RFpB`tcvXU^lK$pGNEIkKU^vujKJh)4}GJ100J%|KyxZ!D0kn9UU{6
z?a>jsbzSUWHBn=kn`H$Nl3-pFGJ}@2_yhJ9fUpkk7zK9&FiRGyKE;*ojP1?%_3v79
zPm^s*4$@FAggqrAyHyaTQ0J@<5^m_kcx?V3pfE|2>lL9Ygw4d%j-v`io9WW5>L;zJ
zbD8Kf>v_OF4&h;jc1zg3?Dbp83-pMl5k^_|opo{_&Gn_W&P7ix5zX0N85$2?cF%_D
zB}CaC)FWdPRiZ&XoL<htlftWIIbPvUrx+OgEwb^{lSY;>8{BO`tJ2@iXiW&V3aQ2c
zma4EY(`9`sJi*_=*QktAb+!$Za(t9l?Cf)jP~!gXTCRUY!x}2%XhuP_dW~-Yrkds{
zWJ29=Bv<F(k~S3{n$3Wni07DF2S2H0M1Sg(c|d_uDPQIBr<gfrOT%YlQ4PhNwd3qL
zsYB-h4~J}UC+Y6HF%2a)<}F*%xDBpbv{C{IkgLB*c@GF3%#~NQg@|nZx`o5r>13S$
zY8X^?KQO~Ot?!t(KI#nn65m>UJ2Nj$eP#vUpdh^SyDVTHEyymL3OgcfSV^>N!*`8l
zZMqxMeci@=$8BR5vT9jyhu~dsb-GzO1*z+jIXl(1rhAPaaYa?!=+&(HH6d<%b<8T|
zAss-0#L&HK^*fOIm}KBB4F%@IAhcj8-*dR?T5kWeWEt1@38r>-vmzK?6Z4d@mjM?#
zl2|U<Z<`m~sJVBxTHeMc2c3nM%un*!1kudI%pm@I{t2LOh~Y>HU)5U$v7VD7pV`GU
z@T|OYTC#pksL1FCm2y991w`ab4;~^d-*{@EZs+>CSxC6uRchN+)M5Qb^xC}1Pt(oZ
zLDU+;+&XcdY^IskO@Pd{A{)K+PD(^3;XgL}x((4XaoPIykthie{Nb&zQ_X!O341P|
zt{i#fVNtp=&j@Q8%zC1J2{Lq;T1@K-l)^LS2u0z8W0SS#UZL-*KdT;5#;2KJ00VmZ
zBR`D=IvysVzS8XaqsnRRUW-zV)8*(rH@Ny_eLJ4~#W2UGEWD*jw<yc<(-h10$R}u;
z7>^I@eNxNm#j)bKN|>ph`ahpM_@NA@I+A6)G`Go7_GYL2+-{eUcbyfyoG&ul;x9+s
z_v{)7L3`iRgc%b?ZeO=5t*Cr*kbw>wYv9jAPrLV71CV~1Zg~TnZXOpx0s}r!^-TQH
zPw<pqyaQKs_#byaBIL{vcWYkWNfe{MaS3dP<sqy}v027<fcXo3UxcHU(y+m37m;u$
zq6X`<n?c$ZI-JSC<UU=#JN3<K;t%4)&H|?6&;o-{*t3>gy9M(I^xH0(k>cL2K@6s1
zjFr4s(wsHbMA<=dZl#y&mx2mw{cV{c=#~O$4;gmeHJs!XtNW4FgR6&sjoRF3xKrC7
z>iJj~i7~0V<3}D|3PO>6{q@fdk}QLJ?phCKx3TJW%LUH;>vA|yrZ<@8ds>)$uSSWL
zE8w<24HRC`{IS=)K*ZpYPq}iwxR=Powf6iJVm>mxnOLV7Z$-WRH!>~%jR^cd&gbyj
zPvySz9Otn{fwLFKHD@>b)MZ$JYx*9K{{t+75G&iH))FLKxiVNMs#0Et5(;4Bdp=VQ
zMz)-!)ug$x;R8M|GCkp(*%`pi+`OKXXB(m<x-u-UVBRB)*ok_S?vd2TA@OXedmq5P
zq-N>zwLBr9$0G7cheFk}NCWI%Z#$`#U_Y%BP)8z8l7PdPI$&2M8PPr-t(zg=dZ%Sz
z8bV(ya~J1?m)5pHCklX&dy7u>PqPD}5omXpeH|-h_zGx)+#)vx#?pq<0`<!5Tg~j#
zyO~A<4pLkD;)}QY2LkXgS!|~%W?QmBvdU%NloRe;Z>kq-P0NWicn<t(xH%)j1DJuo
zQe5xP6>rii%e2z(|63)#-dDD3Qu%M%F_d5c>B|Lq^sI~5&n|=}xPtcJ@v=j&6Xk1y
zCgb!7H^m?%EG%FLT6N6I&cx)T+LY3r7r78aM&C)r1Vh<p$sRd{Gvf6dQ>Z7MfD#jx
zTvA1#^>r2WP#CS{l=+))vV9tbHC9eTa>C>eH1ZtkPIg(Lbk9o8Y?H?YNnyPD5zJJr
zZIINi?yD6(1bWEy3<JB2&576z7o)G>^j9euV(-oA!AZ4C&Ycs6tR?q#y%-bU@!h&e
zQBoXx)&qIbiqDkZBDvnW^=<(2p(CcHH*5YG>Vk7uLPTrA>7?bs(yoN87rZ{(sE$3X
zcR9X27QGAsX_ue>2PGYj=QSi4Rog)m77n7W*lANR0$9ri!BG?%oB?4+O!i!Fv(1zO
zbk4u(O_A?yh?AXdx~TU^NwJ%=trq53iF;REayq(%9}kr><H2r837H&s?(I!thUBQz
zvH@ri9v`Jp?s2BysdrBR2EY^=u9nizp(e`dk63_bGB3ZY4#tpEFTZ1!)O6kJV3}X2
zD4dXg+9lho>;b9vb)*ktOhWdYk&zkawl*B_aTrqRL87J)1r=XW;M}EoHW#O+<_QXS
z@#AP7{}K4NYwOcT+Sa=>@_j8z8#K<AXv2lRW3F1$A6Ye07nOi~mt-D8_JI{>6@iXf
zts(xhEYiiQK$Xu0?fS)-LM&_~UbsOv{Tl1+a~ka`UZjXx!<F;id|4K`kcO|^YgX<_
z5T5=9JbY`?Jyb1+eA+guS-Ch^XRHx29)IQQR^F&}zzvP2*W@YYo|f<H%rN<)?>IVt
z`5&$ROVcW`R=1IQDvNAdB<i{zjmMpB!uCn1<gJ2qTV4{Es0x@_s%+8rGpnNhdbG@<
ziR9Xrvn&qtZ|k>;;008RdGO@gV7Q%V4^uMVyVM&Js*O41G+2T#cLlqlf!(Bt4+CSU
zZ&GQH_z90oDfNkAXp!~JY6<E%Q!k<R^kue34WqjRPl3Bq6Q-|s2orbqb^JAvUktN+
zr_-bSSK(Ge8Mxr=oT(6F|DL4-Zw_+7JfebB2?KMX?N!HJJ)zg(ZH~=~gI~x9DAAh?
zd%Wr~C2(oVXV$V#cDBOMf0g=RBqx4)8yJ`#qlE3ETlt=uFIU^Q8Vn~wZyD?ju!x{@
zrQ=-LY59xcMbEW`fs$7{GR0o5-85yl@N(<4=PgR<oFD@=BkwtiQvZxGbfDZwLj|Um
zQwIbSw6{#h*TTI>ir#2o^yTX@!&dx6l6cumh16ZH>X<t@1Tnppw$x&+YRlcTVk~v!
z=29v8gOQs!kxWxnm*pc~5Hx>h%N~)&BzG4j!4<v7QlpYq*_hKZcBthP$yC2_HiMAa
zK}7%B%agXQN;Gp=D<kk&PPQx>X<+oW^z}CC_Vzibo8dP}ZVi~_nW_0f*mGLqz7COv
zZ^swpB698xg0ykBiriC@f|#58I_j7IC%v`*3&+g4@v}#(0I!v;`Y@DLTjJKo^)(^$
zWDgCVatvpZd3gvCGK2NTYmKHZerAjYWtX*Jok>os9qRt_8dA3Ba~Qf>ymk$QjPy!|
zB|`ECfuPvIGWS+qN^Ya0a(i&KLg`)IL%Jaz^K43o$5MU6p1RSzU}57yEiX3JcSl?Z
zjJQIC5&S5^gwULjpvp?0ZghUJFgsXwXxKP-L)0v!KfdU)NG$`9EdVlJ?*W&W7!(FT
zZTTu|Xl@_`Q=k3D-x8B4JYJqDPCnz-*lW#m%?Lz-+_JvoOw3U6*h;f#^Q5K0glZ`V
zQ6uZoXz~_jMihBp3+;PfCg+`aw;B2wJ*p>a#O)l3r<W+>oR#glcE<^~gaw*FlV44>
zSZ{M|68BWV7V=+GQQ2u2FV8zknY-7vf!6|doh@(Xqcfh0=L-W<42#WX)6?zY%8)QS
z?{6vD8GZzi1E_P`%86=U7&({L9WZPKaAt?vO}(;k1f{rypnk}TX46WO;84vFGX6a?
z1X3##@w%N~_*rZ8?lt_cRy<zatUr8sOjs1c)TM6D2*~=lvp-=67W5QFDP4tM2}|~M
zzV!u~u+_q4(WTEU=qvo2-_c#&fmJ`dxW=<<8cHgc2}%_nBgEso7rCqhkEfRO%Ujm;
z4p>$$@<!gb3%j6SPix@7M^CvXsGyA?L1fR+P?Sgs74YaH?$Y#YsK2m>Pt1fy?CX>Z
z6J_C+H{Z~q_iDaNKU(TCIEgTGP19|iUVP!VhkGlB+qb{nt=Lsi2a`>ISoAP+ou*%5
zZ^=OfIb#n`y0?<g2u%!+EEk7zA;YQtm`96FMN??DO|3FH&i@UfE=%GGUz!Rta_Q$*
zV{ruB1L)_wSqrmNl!w&;eTbw({N^dX+og0XV^F{LWW7Z-uE0sji+Q}1lr!gPHN06J
zVaAgJNZ5fAGX%?#O|PVgwt%U14vTwc@~twutAiNp;hM4(M|cw+`G8TdrDq~KTR?9s
zfOA+5co}z$A8@lraRV6`3Zf2yywvC^a8i)kJ{x6H6%a>_uo6CcN-BiJgzK{OQN{}L
zdD^&QqoQWZr2WGI%?I@(@UKg6@H;eD0%gXYH_{rv$juNs9~-L^*#)?fJMfE1ACoFZ
z;21*p0Xjpk?CTUEK+n5}hdl45Izr_9Vqywxx}X3>K)SyK`k1QrRD<&A=y!-Z?*RLD
z-qU3eaKZ0>v&319jOZ$kSQ8|%C1*Z7lX<kJ>N?tnxwbn&L`3CuI5e?7eUU4%4fXKa
zsPng%Y+w7Xk-yz3C&9tIN~}1W+Lk@)0}K8{Hu67pQmO6n%(x%GL-Y1|fBL5}#O-Bd
zYkar?*x%f(9Dg~Ilq=4Li19X%JO^yMoYT9nGq?Q<|H5c-9Sg8*j%Xkela_k;7ZJZ@
z0e#(e&{k0b?G&|=A6BKvf+d6*qI}+QA8{!5m|!{$=3_Iux_|<ns+NRBf-4T}Lkq?U
zn@lwp;70kx><bl#5l?*vjV%lqw~ha_LF&_?F=DiP0>t@B8ltAYsw0ZY>a%uWe2=g1
z%M2a?hJ{>FW2*}BSZMTXuxb?~we?dH*B}T5d~b`inZUtwRe8zz@78?Xs<$Hl)))-7
z45{AqJK$thsPnvTQ*U-8z8&5}(znhn|B#*((Rp)(HP;B{db*q26c%%4B=PYoHY|LW
z+l#jLu25eRQSh8<c)?nH=B_xLy!-0kHDOZ<qE>G44JSFd!Il~|)5E~PAxCB0ZjVp_
zdtQibBR~WAcXPWz#pL;_A3Lb5KRk6D{7Q?>YBYzso37g2y+4Uj<Yw5x5bXzVf`#xn
zAndkP*MnnZ_6DbJ`W?JvYGBhD7?cTAB0;GXFx0PmcOAXheLtk0?V+-ZPu`}tRoM)2
zIg^Ya$|44;@qJ~T(kxxKbo$%PlkdvT(bjZ9@!(h4?S-p|d}bWhD)HHZgSe^cs~r>|
z(ew5|ZC}y>j1-ezu%vpNeVt>UJz2eY7)_JjuV)(4BMYb!xAdLfIYEcwN&VDdsbUb`
z$nLy7A*YPTN_VP8O8)gqCJ6?a*e>+j?(qiqV###@d}^=~J%vuzmdg*@l{(nTd6kum
z-kiEQ$ALGA{s*L*EH%svrq>Z<F`dB@-jU1I9Bwu%1hg}eg+dnpCMx{>@y>-N$}M%(
zn2>r~fdfqSb4dQ}u{gN#NiH)q@v8sl5fS)$M|!sZ%Hxk)+K!DRU~jg~qty<5iD+P4
zLzVYhq6kX_J;sDx!acNr*4}kunNM3$KC7jnu6*A&L__LtOds-pz`ppDR@qPbJ*r`a
zK?hrgCO%)t$b5?*$f%(aymMUaZla#s<kbeA^XSjI`z(n_J2AST@jUS^X|7cl#ZTh)
zb6=4W^PA8pdeB}@271XaxzyZT{KJpG`pbVPmjB;9&(bVf_bet=6hI%%7iH&_Q>)q6
zIZ~?$bbN5ZlU3`8&$aNl4O%RImk^2Jo$o*#nM(Xo;$qYv)_nifGU0;?DqQIAKK`}T
z#K{?~5M~(#F2T!k01lVAZ>j|z2{R8n<{gH~(vs3LfQ8c@^MKwTS;cv6y51G^K@#OC
zcR5uV);>)*(a5fmY3W^!2MI?F+(2_hFjLPxS<9cr)!%LT+k&ybHPxo{MmLNtzFGA}
zIa6ad`ztrA2T53zTO_`zhkpzg{7HEvc>#ZU0%^VGUelpY8j~|HHW)x?-_VB+&XgF@
zq{v#YCHf2ulgZu$g5{7PA7!;PP4BAR*Qt8vCOKDDYys&T?C=$J<qZVeO|0)3{fgGU
z8e_q#?9{!Z20ayXu2F%_x!2*$RPrqekjOy$Rq})uU(wdLd+*0k9>Q~?TH;xmjnF5{
zcq`IiGT5!PVad$libGO@uu#cnmF!TVz8CP=b_Z&yWhI4ryS!TQ*zts|tH=TL>wlzA
zpwA0$?hi*7dfKz*94(-par8b~{1OweORID*jBF?hP@!=qx5M`m-(4pei(zr~4bG$~
zfN5n8v&tvU@XPiRn8PO8I+QMj`k2oXWr6yZiSwF+Q12gXU>+eZZ}vU2H~3X!%{J(X
ztkG!lBCwu%>q+ZDO1^VSZRNguPxLC`RmNqN=6dT)<X5?z%X#gAa`e<ii+9dAUwKxC
z)3Ty&@9bm{Oti&;J<eaUg|3UR1B!y(uI%&@d9}I?`!MB+pz&*e%j&go`>3upQ?K|@
z|DWY9n5LH+&&1|~R1%_(wc|w8xnvUXt(640aqr0O@OP9B<wYVWNRDw`Fb3Y)sIS=E
zDflq8h`*dLI=WN91z*;hRjQP<+`ByrWeE%LF&zsJ#y+!#T%)$z>IHZFYvkD5+uheW
zXH_ld|3xLP5xMyPz$lG~;GRnD62rje5jha}4f|eeu8>B*pv)kk;_$5jP{3~RBH>my
zG=U#tm{baCu641E6PI+XC00H`&Bw279~#@&G4$nE5`?Pw^<nUYNA1uOR^x&8U{f+a
zf`XiCI%M-PEC8sai_2L>d}ec^ibmXNmfSy$JAFA_4XrcRWo+}R&^GpGf4yXWnP=BY
zjX5QVh}_Jv?|RA%Qa_~*Y3JlLhn@3avt5!Ub0yh7vqr)<)$0p|Nqe%c?N*{Dw5C)A
zC^#E<==Q>LSDN9?WkPJH2}ZmQ`a>>839CB<AjR+NIFWkY+mWA3<O;tGPDC<26Zp=y
zI}=m+(uxQQOeMIV+$)|8v9W;e6bM+0c)OT<G#-ZYW}yN5I+G(MRj7@<%CG*Jse)gq
z{-;H~yLlAp0hs*GpU?x0V!1<ct|Yr|?}|mIR~?H4qth1ec54qFcxSROW2CDMh2O^V
zWBi3<<tq!SU%#%>)$i^y%G_LNDA6n1Dx5AI$BZtFRGL8%SN+I#RkY<u-A6+-bbrs!
zMCK8f%oNc$tx=P<HJ#$oNPrK?AgMLP<T-1E8@yzGGa=S9A?GAscv4sxR!NX@RqTD8
z%jH~b?X^t$kqd?IJ2#9cldCNZpbHHjPqw`DJ&lfmhwbZ}>N^Iy$Zp8pf&|DlYOX$+
zoJlK1JNz$fk-0qm8eeEm9y4}zx;#xYH&(XQ9lx!R3d>Axa{+670xK3xKvL+gi=?wF
z#|}(WH27EH0zpU=EV^Vw#{7A9Fis-M_B>q`9tMXC>T6Xw8t&FkWw~|q#hM?g^T}oz
zQU2qAyul2DcXrKN*mt-%j1jvYfpZTjGmT#q$)*EKY2m~yzg|401cqSeL7uyV7CfA_
ze_}0f1muVo`z@+Fy)tPU^x@G!!!Ju&s%JeM!eeUmzRocFP5-qW*&k}WX<${m)#P^J
zGk9ZdE}3RIk^4}hUu@DLaLi1=qo1JNR7s-u7!>k3d+y0zbgrwH=lEi#7W6L(vN}#~
zNe^>)xP*O-=pfyai>ArmDf>EfBziZ`p=aCi1s{?V7@l%qS;N=(2L{7OXq&wk@FZ*Q
z-oZ=SRljM1lAH6g<|YK)smovT+?<bB@i-q+gsOd=LTXcGt*wVY|DC#$h&)OgxmPuu
zsh++(Z$Th|GvDs({KR{<!FP9Dy@Bxh+?rPphseMhT%T!d5s`;la5gO&H;@h5!kH!j
zGKI4p-WFm*yQ9uR)x7pf9~qGYZ62q*qcC+3(-C^5gdy-a-)&D&xwA_vt!Obf?`JVw
z^~cOzY4M6C$mw)+hx;*fM1KhSO9IRIhf%f$c~>@2Z;+585_&9!c7*>KQ#`<)S9s*-
zZ=p&gMqWR@Uwm<68ZgjC!NTcXEnSbHpOeiH^{;Ho0F*75<*m2*`Te1P{P#CZ{{L`v
zN1pWfz)slzef^uBA|J&*SCh;uPaWn>_4(?`=8eWcSvc#7ItKwROA;&Nj8koCu!tTm
z-5rh%=@Tz|Euow%>o0gysb|gImHfNv8?MP`j5FGdZ&)_&&RvWApvIWE(8j#y!fp|a
zNU_R-@7~juMFc!?SxB78&Y0vqU3IS!zL4?@mfB-!Wq(@U2tVL_B6RQ9Q{3v#VbHRV
z_kdnFegMS%U7*W@=6>k&7dHssZ1lUey09YwJNI{HUhDC-$NErQ?iBhtiy!V`mAm(D
zXu&6PYVMAu)8ASFLBsBQpRXOSQmYSlbc<LRhD#(i(!!RSjzi3(Ifo$J2!QW_)|Z6!
zQ*~kR(tVwi2-egw@*(Jh$;5I|wqL|H&26dDHHBnT$!?q?Zn~V>jGn0Pj%Qp-_#<A-
z;jIVltovK$Z_%DtwCrS*MD7&->4q$Xrq5XQ&w0Gq)93EGvoZ62cCfp^bqMqj_efC?
z^+Yox6_z$=;I}#FzWT?NBoCY0QP{T9iceDzZQ1N8e2f4Z+qjK~@i)0d5E8w)`->Z*
zJiC?S(H1+8Z*BzJ#MO}V@{WRC9i&`JCA$ckz!h$)?x9T=K6dWwe4CqC#GALD3Qd}j
ziA1Qtl2!NOP6ul~@kZ#yfPwK^{AM+-GJA1fC+q-e62M~zKK<LL<(YN%QIr?%A%b1z
z>FE&NJAQZx3i3P~zF~L5^u%e$%wq-7^hCag<b~&GUMdCdirCk=wdW@g60F5zRkj6B
z`4^>LX%{>8buMbB4e8%a&y8&H#jQ}V$2?ZWc^l|dVkvldxuyia6>!Vs#m1Qw;bg99
zupC{Svq&G45AUTx0j=ipSz*&tTG>gC^@+Morc9YmC~hj)HvB2;XWU0#$A@knzv^=p
zAP?5Iud@}}{$X}sM;=;bA6~xF`Qs9Cxk6lWB*z@Yr~?{eVCadQ>3G{4RBM^4t+E>k
zJXhmu2y%iKi~5G-n2*ZfxNP15RQ;XDRM&F4PuSyOdIz82!hoqpmTs>P{6@Cx=NOyM
z>V8&(t|+8ct^H*c<JEN_Mth-0-ss7Fou&|5kjyU!Xz?uXcfx1<7bO41WI+c)>fffk
zXj5OeQ!-UVEODBcYu+QijA*7(3Xfs8%ZpT~yH?Igwymktk9sc0&2OWNB(BC5SGRr7
zFk^8i-X(_|+PNJ-sk6=saRmo$Mxj-1RV^{ggWX%|cT1Tn$t0pCjbbF^GaXN0TPD>(
z&nOP$&_<hR>r-nc{vw~8A+{T3rOgH69SN|pI>o+7wg4oKV~<k&*+Ac3c*tq>_e9^x
zA+VabggQI8MCHLwoVKB~KMq$S?d^C^c^(v-hifIvnZ6NjuNor@MOGYZ5e>eYNGnoE
z+_ztfN?5|gO}_|b;}=8oww8bV2MO-Uiy42OpWxu!SzTNxSTQprY@%~Hg_@6JUtH6|
zYNvb0@NO{?ldU0kq5TuH7v?N%v5b|7d3FsBA!mNSWwPFzt<7~d1A>_hm?pKBuOy$F
z@>#b58V!`yFWhImyw|9q7?wm>jx3aHIlu6W877w4SVgro4a)SE4<bR;S26f*D0#Qv
zk2CDJE9N&_N1{A)0!yc8gtp4d3nO|QM1-7#uqm`Qcaw=|iQ6M3<01&MZ{{C3?Bcvo
z?tDS7{jE42z6RNXuCFa{Uc>WI?FQLVG`MD!?mREg_$ei(S87C)$Z223Nkg?2i-gPz
zN^))!XRxhm!(K*+!@)czB{Gid(5l(cXz01K=GXUrvu*LPanE(tZF9yF*e}fHK6(8%
zYbcMj4lij4yTJ#vC(guBkWL$A>hM+25%>N=R=((kA2Meo6=d_^$E_#3yKWX|&k&2r
zt{l=92%*(muuio~i?AS|CR;3TRkz}|!bS(Y*cTr%8v8@4J_Wpo7<`XQd-42-Zh=aM
z&T!z_{B?SGUNEn4^(Qc6C3a152Vh_MD~^zm=D3YjrC;g2B>5v@2*j%Td^3`ug*E>}
zQ_LNh!Y%=lQ6fz5hyGY24PCEXB)oE)S*Dcd1f^~T-XJ?j?6q`xp0Fp69h@73!lqci
z6f<?R7bkDrayMOd)CH(hCX0xbUqBSO8IYti#CjejwrGy`_=D=S<b*yU!EV{k5%Yr<
zi5ADS5iMxnsIwl|9wY+v1FP7g;6%^0$3KY9hCdw<nchX_gz+o2rrz)VZ6cs-4?P`?
z>B!S9yAZ!Qkc;wyk1}9QQ@Os1BaLOIwKi1_Mk^Cjdr;TVT`fAj@TU<OvGZ560@X1S
zudtkJ39+z0&b{VE5<LfSW#>F1mkCwx{F2Qg600+G{twjJ|35ssg%gBNQAJLQCbT>=
z@9h|(w#Se9z#sw9z1XIn!H<W&dzbAq!FA0LWddn(xN}?`VoL1Zo)kbFg@|Y0Q$@6d
z2olzT35lOJAM#ntC3O~SK<%NH`#N7t3HELaWJ8LX_w}K!Q>VIyXgQ1H#3(^VuBFO0
z9$e>Ys9}LH^nWAjfA)yOcE+VKr|@spz-msTU1SE(ck6C-r?2kwG~DaWASu7c&k7G8
zObCm%*6-{b%h@v|z)dE`-`Def?}y&PDlg_dc`w2bK;G2#&unpz@&(h=^jJmOOGZvQ
z9am-m-ciG4vIYn%5sHa`i}}IHA?D{5wW(5f{?FOz5$109q0><2k3vgRY8}KQp-gyF
z!hM(UNg!oNre9)_JVT!EXuK#Le{mGy{=3!2Iy4lgwn#aIHHRXa#lIe5-cJfY&rXrV
z?UV!-O{2b+D2uW-Awrtz3MF-4Cm?nD+YiMh=q05#;OR}07~9z0{is{WmAPb{HR1K_
z-Qf(JvW2XoFpJInN11;w6CC-?KUqFn<c?1)+WH>ba}S*}*!{qrrgj(P>}k4|uwwUp
zot2-7kDGb*$r*}tm#g`MRYb^~FiEtqdA&&~n7aWpx~^q!=5K9E;LOeO>m5|qB|mdz
z)Kjs?v9Hl9`#O;AeVxzjYwE$u>_?i%00?L;&jfU6Dmh(4@r`FD@-nKX<vCMh4iTAJ
z%7;F+XHno`KRG^iAfSsoyqjylzAzg-PwuFsc`<3ssvK^x?q-8UW<Gtw?^1VMb;-r3
zGNzg|>^;1%^ZNrUedE_<m$2tJb>b%(07G^U%K_IUdwbFd>wXHYZu?5Nnyt}CZanx4
z>30jRpoBW$3uL_P)$X-XrtsB#5$|pZi>uJz#7%*KI2z=O;ZUgkUJ2F0dF|G=`)n(!
z!=x_Ruqa54yXt=-y-*;6;@@!fF@m_#tdKLQ&C}axo8$Zt$lzL-+&R&z0@F9VnTtH@
zJHMnh>gSeAcBCR)*;ncNI>0W<kSql2PWCDis?MZKPVy(%a~L=U4k*exOHk#Nhw^Xc
zIq)e1WzDbVy}PzTh~6JJ2((1)odo2|^eaMR1$qIusD|;%1i>9i9(e1CEL3*SPo=bG
zWzRF#U(=XByP3w}yPy%PM#*k482pqJW&(mh=OkbyP1=qmRN(Y+QS#+><5Xl5>6##`
zf12`$a!1}uCQ>81^gDfcMll8nya1`FbS5rS!Y65O-$-JcU*@k^IqmB#WqX5KdoCk6
z+O8y)Y4OT>>8i_+XHKfrFF|I|I8}o-&fUR2vxcTiN@jC`-_H_rL<rBe`qrw<Ws=?6
zy2q4cxvogK?NSIjdEH!PQx;Rq+1lx%G5bPuSWCPx6F`CQ$-1s0q~wcX`(i=TSR(YS
z)q!PM#46h3lsfw0M=l{RF{MD1Nqn^wNtrH-@$KJhl0XC9+r#nFZU1*7+BV!PS<C-O
zZvH@!lo1}Ls$j>8D(gI}iiFh0<UosJ*g>!}Y-aP)^4o3|3Nk;zY0#hkUvvom<@oZ6
z$^pa0%p&>tqK$n+L0DPd@f%h<tvhGZd!n>w*1wa@v_wbnBst$sE?Xu{O^7aW^B1jc
z!QU}s8}iySPz}f4N*+h|N=*mU4p#00W&5SZ6j(eoae++ck*(_uRlOJFowvPrlsy6C
z?$~g&(Y34zq|HiV`L2{MOD*7k<oOp%+&rX$w6z0Aytg?$QU!?99`pSJexwg41XGh(
z5d)byOvIG*vYa;QGCAUH+-W>_k%4(*Mba<!X7BDyFD9wtmQW(dJ!%zEv#|SGF{cjw
zxVsW`SOojm`@i-*e=nKlqljMee~1<T@HYKemaeDzNJ<2^w%%Qh{87rQ+p`<Mzm6Gn
z-&IfxuU>Tj8vS))2Dybo|Hz{L4K6N6rLT}F3v2w=Jg-Fung3FKMzE|l_v5{4rKGC*
zwU4hC06A7p$kgxyq38+tU8mTdl!niSw~v33zPae)Sl{WIxv%4v3$)jtXE^LCg|l`3
zJ(@6AUjK){n~l7$%il%2Of!N#bc0=7YM|{*1b1bR3o1^_#{DoaklHC4xhGr4s^EAc
z7JnODW`N7i?eVp%Tj(Q(eUkr^&9$C-QZqtJTuTffX?X!`da0F`p1wQK{ozvq=UBZ{
z_lJ>i<5wxd){sCPpJwh>frpvmpw|vOeZXyT?<@Ik83Tq}Stpzxa9^q;8iY0;i8Q&j
zE5dywa$Z?y?Q&-CM-_&z5yAU9=W1zsiEL=TmIJbt%9@K%YRani?7M8p<T}#i{4^;w
z8|Ux!{645i(RoI)TpY?sxWlo6M3SVphdig%zyvkv4NdLeoDFZkG|{EkHKAdLosGAh
z?iqu`rc~p+XIr~CGxoif%UOHVwBj#)B5Ae14-rH#Heb?{MmmpHx_>90xAHgrHYxPZ
zcnyq04!!!<L?H{mJnS05f8V*&d)tRxE2{IO2sa4tNgI22Sb4t>zo^?F$O_w*UU|=F
z&oFMPq|Wyv>CRoCt)l9+Snai;VZi+*!KYS+@;^l@<ClMCs_%`@U+*&7H4aIdBf*vn
z>pyHoEvRyXks^v=OM*Z80s_p1o6u0=Z~|1>WoLLYpM0LSuM?TwKEZc0{U$bze;TzZ
z3k|+0RK1JHSJH4yv1d2FF;a>yA3UkqYoh$%jwe9`X?B9~wZyYED;KX?H|YZtq2U(C
zx@yh4Vkeg6YgJc0&a1q+9`H8{PjFNAYPW67qp{xJrK7b2wMqwkci`Yf@|bbf#yuQD
z>uh@u+qH<xrV?SnB{DsZ`G5Je=WPTvHt$#7pY79SO5&f%>913N+RTY3;OzpeA4B~;
z+#7Q7=pG^C(KM};vUYvIrRK(RbM7HPQQiDm3SDk`u56VYRyRjBagEs94RBC~Y?YxH
z1(eO8q}9Fl?cDSf(3h)xuPo1VLo$zNNtuEenMQx@uiN@@fY#)XNk(=EVEn#LW-Gy{
z(gwaP6P^zcm-K=<MKPz=42HBjt22k-gX;EiV(+AkYc#7)sm4C*a|(OTrhGOMNn{qs
z3H$7)7^Q5@tL>d`UbMNJ2gAhN{9hHr5kFrWn%mR)=WnMSev}8xBL=+2KR7;Slu;=7
zG(ZM6H}C#5TFw>Y+qc4(c^==cUuA(nsso=sh+2&#3?=uK(>(0Lj`W0SK;C)iG9i)g
z&HYNLQSOBOvfI$-i);L&Rq9%?bzI?n2<a|MFH8#@*S3kapOv|j<9x8ioIrtj*G(Kj
znAPD=qtSL;j$p4u^SknbSB+B}wNB~>PZs)1a<VcC_znr+U@}w)2?xj^bQ0N(c;+p>
zevL%-d)mvgt%O`PFEYW$dae`pJXVd<dNMT8Xve|CC>#=fM7%i5!VaWA*`(TQZGf0J
zE2~ofD^P8@yq8;!fx9<;_WTu=VkzN8*CRys>EwMKeJmWYuM?Psi&sIv3_VNCtfr6n
z#Pq20quASUPhYbva>@4LKR;=lW(=@S@7SBouLbYyy!yy39|2iqvUykV&s>$)4jjK9
z@j?w9$fTj#Gxri2cER<P?qg<C1jPJH#3XxiLnYzCIA)Y^<dFb|?dt)mj98KDYy$K|
znkMp$`fGRZN;u;jD>Ojhngt>3Ss^cvMr4Ctts;Aq9?BT3DJE_E@aObQEq&=#35eOl
z+AywcT;!OO@7QZR5*oCPJ4&r7`ekTivPro*X@r4^Y07kAXkjqxn?h?lp0z_=66FU%
z1%^^VBvMpRv&eB?9UG5*lj06#Au~JfHw3>EU|mO<L+~hmp=U)a&pB5NN1x~PQc6dc
zk2=#f_H_~>T)efkfR~qJS3G*h>pXQ=ncw)EBDOK^Z#L$yd$_loIMS<3Dj}d^q=Tz~
zfSv*nr6N@*5ZrT?rfVZUfcBdb-W<k=k!0k6GV)eJis{`rFYt~`{enlnf>VTL$ozw(
zD;+{T4ifx+q<vERTzu^yM{UhEZVrGsGGC`XdgQ!;vho(PMD{O4BOdl@Xoxlg-*%ft
z<h~C7wl}SbU?-;iOiZ1oGaV?OqpBxpLA67S-b@LRfNG~N-M?-PrV=$c@W}?}qU?&|
z>>-*k__VJLIM222hV>XU<_Xh|lcp*$sugas5jEBLt=JrZkVt*jM=s%isO7+1+;hf_
z%L7vT2^a_Sah~mT&HK(w&G<Hy?`|j5^lFrAKvRG=$I=<}+W@<gfN@cw1EAnW$mygd
zYT^MTh4on`vN$<mW%112mev2Us__}q{6bb2*B~KtQ$Wn*o7@giO2b9*kaxW}u3#Jp
z?|%PzdUlRU4@cv$G_6}24RgXvLNs~U#QCMUbY>s!<{q#caYm+weDsyNH}M=Z=Rz7!
zN%_!6M1QwHN^G5MpwEmKP6a;Z&M2jvhMyvI$qSYhb)i)L&)$IF4<$tHSj5{qkj>H@
zWsC1Q`Glc>OOolMi)fYtAwsZt-#Ki|OtHB%r{3+21Ob}tUKF$yiQd{6fdo=iJAc^M
z@x1>*B_Q-2H;b^K8FbP}Eh0NUaV2qhj1(y~ae_W_MM}=UvEt=<Vf2;@QA=H(Ly*s<
zRCu~{D~?*3p1K905r$$WQQCNtXHyB(*VAD6SSd_@U+2~u<oK_9m>beaMXI?OpQ@}z
zP4E5CsX@#Sb)2OeB)Fbht2z`CEQ2id-RJe$atUjY33i7T9hd!23=IAQD*op2Xm;p(
zW69pUwnEU}WhYW%k2(l?HM@+auRh8$Sd4@U0yIEnljE7lf2P&1?vK3;T4h!Wo>9ha
z?x-mb3%rNjeZwyj?j~in+sRM{C`*)yccxZm8``%^UAsc5=qyGBzY3SW(xTR2@t|1E
z@ug|+P1OO`=S-*9h4{n}sCmQ+Z6FF|-fJCm##aV+RNTI22S{#Bqceg{w{ee4l&kB-
zYZohIT1AG99wPj4^R-;%X0CfLaW@_Pb#YKNuJ~CDg#}&6`~6DePaC)sQ^pQFubo=x
z*t&Jzh;&Cgh<9>4OHqA5skMgspxTv0)T)j1Qa1DvpPp6II~IEM%6y}YlLL=vb?;Yb
z?=npX;Uud|-Im4JcZBUBf{S$B<wNh$GIf(sDYZ(i`Zf)9lc@>A02s?WK?Ia%<($a_
zJ6hFRnO1f;mIc*dVJDU4E7|lx9}K8be6f2P7q_D#+eBjeT(5a5GGEFJ=`_Z^4k*RL
zWrB~UnNq*Fp~paviT-=zwiFrE;6u$#1GT!}X#p!Xx#Eu6JP1Y~H<h3|dt1F5bV;ee
z6Y;q0Je(~2E41P2G=|uD^R;iwxNt`(Q0LA?f7r2&s*!x;5Ie2G5XY))rC<c<jBaAe
z{gOM`N~_b{@>w^pn<l3mF2N#N^AeQ3mljKun;%BJXI=&%%qB-l*w}V$8etEV`kz3O
z@oI{@`|E83+y@oU;%eoznwTVw7tHJ|jqBG}!%Mr%4uzZ2tB#2)DX$S9m-1}pK46_m
z?rX=PEo)(0zIy3flcDxN?`wWU<k?d08FHE$R%gKTVy*OExFb<=!#~L`;!4h0o`y8K
z@!kSkv_GZJQC%oMNf>c{(bi*f14y#Fz(Pz;Y@F}C=ymdXB-0~4hI~E`agxFc?vXG5
zoM$u@&}m}Sz#18l847lyImWH7LwT9YsQJ!gbzJ?X!LJr*Rr+x58VT+N{@Au{cvX(R
zJ52!obtU<9j%UeymoHiCF)j>;KAq}4_A#_+*b1D$_Nd+0d35A*Yu75${0r|;d;VN@
z#fvD@_a0qhChn*HwRH8&l7%TK4R6g%3Ogb5$u+KYqS9sRnf4Rl$iW1~#uN2Y4iMPk
z(JEe-uaO^!(k?}!aA@%@?bG|c&5)jtF@vbVQsE0tx}+O*F;Q!JEsJ*Vay8m5yA2$!
zcZP3FlNjlA$oF-EQ*n1AiyDB;Bw{_oob})kBQgcx>X{Sso*`NP<G#+v8B6uPPVMM_
zd~#X0P)Mt+{ItqINT7Btw!pnS`S^DDdG4}`mbluf_`Mu-Hn@1bR7}cm9AA%G$W$>-
z$hF?v)13)<LVy{McY9A?hHioV@~PvXC4Gf}(St^@KP1a)BwU3CWXnjJE*Tf9><QxU
z`99e2cKziw3JUJ(fqXu~M#(`xhczdWC<BA;w~R|#Tva{;&}5f7(>nS&43`e-<cTzz
zxP^`*!DHFnB45`(AdBu%YZtmL8cVkw{aj<S+l|t2$fL&7o-!lAE@MEI7#BUsRN!0P
z#8rfcmY^^E#$)z%Zp?e|P3lsd*7%Y=GeNr40ZrN0IUb+q5w1b4VBpUcD)uk?Jx|o%
z^Co^GqLPN>sC}IYra#`wv_#%HP=Oos);I<yokoIpHdwqtY!{rt6_b`=UR*Kep+sfU
zwltl;hZRr%tjYC@nPU`U+DF8~Ck2YSgrwapm_Dw8-1d4wu0;Y{Ivz%Ty_7d{i&>3&
zmv^Db6pLugXmRX=@r>-3hcBfV8#*?{)=2ntYq>QRfO*%O&s5NI5Vuu~$6k{qe_C`!
z7<Tk0va6-1wvyH0*=SdAOfR70RZ5<HhbkR2t_i=~$EzU0yx4@6HG7iv3446B`6snO
zXgsIe9uEVw>hF!A#20VCl-g?X{A`a3%nh+I>Pp<#vE#)!ke2DhQR+d8nzEPN7=b+d
z%Q-=|zd~l)Mrk4ikF@l)_ubs(21XiCp<A|F367*3Rlv9mXa}HpLN3q9;Vk#|8(yiE
zkB$r}u=12mV_5r+<O;!*&>jzBnN~u%q<tMPKE1%*^h4SbGAd0sbmIhP94rHbj|i}5
zhw)Fa>DWF<0NF`f|1?{>iYLK>WEaLVwUr`(g-XqSbjJjp7Tq!+^XN!RJe80B)zXz$
zzK95t#56<__s7m#GCVo@>2_wAtIv7W-s837<%+4b&Z?ydR}ji}qQ+^ZXV1<SKI^K$
zLmjZ~yl(!R9bz8B<NS>zHu>j(q<x*y9W);YJ!{^pz=Biwj)%nxyCAf-GI@@FI;&*M
z)P51)9Z3V)6JqI=R^TvlAbu5sb-y<Cr19!Rs2B%tw>U9XuWMmv8@46H#ZJ!bS#!)O
zwb0u<Ht{64datw}q^CN_Wsz(CGf(y~;^nqnWTJK{e1#^&+wKtJ&_l8CggoF~M0*6L
zo<H1(xE#o)fZ{mL$Gx5|Z02TA>8blVu9(;wDX({A*F$M_@Xw+H;Lo@5am$Jd3rlgL
zzZzK{W8y*T_`(4F+@nDXK6@CPDv6HlxiNhX*JS4|6r4@xZ1H$^Ww=rP@*9gcYaST)
z*HQ+wX;cO&%jyW|&n;;j<wR>w=odNT?0EY+0}{Y4SG-$ZkCE;gR}=}+-9Nnedw~FG
z9rUkb1^DO#LilO!d`}Smm;aJ1=j-Q;C7goO61>wjo`!Wcrlkni3{n~vbv#^4FOZ^M
zZy!P<-y~<xRXR0J4bq`EjK^>8UV|rXw?y+ZH_64?J*~lSZeI(HW?S(I4)z0{mV?P>
z?(lMZ?V-k<_18df%MlDDVWJyAP8JK$jr=h`mk<o#?X|Izo!-fzT$VvR#M%`US5%$b
z<lvl-s$FbJ`0>X2h9>5$2c+Lc^)fe|d1Yf36DyG?2sUPD`#Lk5{(FChv+tptzIvFm
z<FP}?5@wO+?&eF+%vC_?Q15HGem0deinZ{bJXeaoa${YiLAqj2DA&#EdO9+CX-B$4
zDkY{&&zu>C_M`KTHSnz!=HqwLo{m50h5wvcuP8F$6uZ|bH5Ol@Y)rd&F+Bm*y=#wV
zErgOnrf_+|UQh3Y?ZM%h1Mh_Y<)6UnUy(r%7P2}J)3!r0V&~T#Y|FPRYl#772wBh!
zwd~-59AAEO$R9mUF6@LPY*ecnOXu*dG4PhGG0%b#J0ZvX(ymJ0F5D7cnZodgwQ1_G
zI}>3o8+(}Vw~b6~9#!VkXxmkXaRi>3t5#7hgk#@AD8*3tJVfe<c}OH~cOl;;5i)V*
z&9LGMl+k6N*z>s?Q0pe&@~WfWl2jp^`aTBc<Er9%P0m(PA0WSi2&Ous3-@(O%z!qn
zz~Jnwhi-pZ{jbcudtB1_y7$f6vzpedrrd6`vOKKGl}=;kn0Z!MYfWY4fk|hyKw(Bo
zQ$q5rfHG^EsXQ`yJ~QQkOp!4~@_?-JKpsgEP)JDe5E>!~2*}~FweS79_r9Nd@BPgE
ztmpN5u0N313;glp`h9=b^}fD*zt`vEs6S8bL{#LitH5A|A8w+_A=+QR%lf_<%u+Ne
zH&iJ-OYesauuh-4)-L*cjWTkrEhsZCvV<NhgL38WR6M6M$TI&~ZAV*Q$=`Pq9M5R0
zf8)*1-0Txsj&h@&jRX-#K#h)eq)P6bkQH)rbS*_xI;gPSpB=PSs%&8kqm3K9%ZV8t
z$72w&`OIv)7#C3aA6FNX;+ClEaup11%v!r|Z0&}fIgW{#$!=fJ$8JOV+OiTJFUlhr
z_>VD>O`ncj#<ys?bF`W~2>0o@B*wL%G9q$cVxi-_AN65Tx{7!&M?pHD+C+C04-4kq
z$72fTn_`@g;m%{<D<31>^r^J?Z2UES`7sa5*O+83?i7M}sv4Kpc7U|_3)gqMA7ylM
zEOlD83$71WRqjk=*R6#dtfe*`7MCs~jt<LXU9WENKEw`TnkB2QXmnVMSD*LJL@cy;
zEZZ)=+gDwac&D_fE)dpXA*7O5WrDZx_8UV)n==bz1dme>mI<ewcn-ci>7hmmGJMLI
zS|=jC2#waf-&cV7)e!NIwnwVHBpa)lIY&g%8*1Fk%wb5<YaBFxxqUe=lXo`hsKp(G
z!)1ssPt+fO&IH(toP!we>vGu1ha|wBx^%Ez9O)xoj|o7i<~sIq>F4VsBTF5bU4HH(
zcQwsGw@ex<3kR80zCab406G7vocPpi-Lv@34x56pua&$`xu0Ldv%I>NP)Ek~#d@In
zJsgoCG(G2eaoA~yF%X8fR4{Hwea)`DayNOG&ODh(ovoQLcaKC7@JQX101+P33t?Nt
z8@%PwG!9sP>XZpkryO|HbI((pmVv`qw+4yqTwg4W3@Dx{#<f^c&Z{oF!5jK{3N5&B
zO7AaTh;c6<7dp<}LPWijnQJ*ee|$&hx`qyBl?SD^F~THaqsRf(3bg~3aUMa9n~6jv
zCd9CAYDkN>!}hpXQpLmDAhM0{0KyKQ5&>dcwoZ3@7g#6G)Oug7&^=vR^6C))`=GS$
zpu;m`Rn)v`?pDKg*vTBe(V_Tx<U5)0)Jg&FPn%I!*z~|Va_hbB%%s`HcI<E&_f+>U
z+}O@+d-$l^I#jBR9m*9^2;+_q{`7x*rGK-R#`gDQSR9)Ny+}C6j4Nn!3W#>_i=j82
zSr>^rC-Cqbsqyl#sL{42K^u~g|0Zr(=-_^~g~?l?wyFz0;^yij#7u=~oj~d9bVYiz
zKsP?RIO=s>t&I4&T`%X?F!$Y*x+XX_dmFOZhh&$U{A%vrx@zdI#wHSMkZ|8D7tvam
z1_|oOI<IoOfaJR_GD3MjahT?yGWTs|hhW&1kA$$@eZd9NRSa%z!5BvLSO)#{o<u8e
zbe_Q|BOd#RjsnSwE0+h)g_TJ{_Lf!N&mrR!6I2gpv{j+H4WeD9)GnF;rCOK^7j?<N
z`brt#Vkwo6rfl2SAFdPnQ><ai40UV7so)sLc^#++`AO6>!poCKw}5kgG99N`Ae0!t
zTkZ|OW{<CQ*M3C9lZM+z;vgq)(qs+}Jj%T(D8%p%d{tLUG1sszB`=Yq+i`vHYn#xz
zF#mP8VBBn~n-P61?LHkDm~{=;aufNRD0{|Ii3y;q6IS|Xg)Du})CI83Lfxgxpvimt
zo5#eh;~G()L}6Yw6-hLgzM+%BLVij8mTpNB=_V)^>w15vVj+zj$!YXqnk&#7R}Y8A
z;FHlumkZgh$cSNQ{~hEfSI2S$KI@Y|I+_4H*Dn4Rr+h(0WLvA{g{|y?jEbDL71GIv
z7#7}^*R)YcZ{DR)4Bts<z!za#j|zWQIxL-APc08zs>}n^{A5-^^DX{OvHR7?vUX!K
zc&X!Ee7uw`5O8^XCZDr8J3w&9!u-&--pHHMcy%5=7bq7z-5dL;$2Zw%Ii2N3bpwX^
zTALlNii!3^`pa746y(_9t{pDJ#yC{9Wsx6uB!avzWf5_Ndz%6|p~{50V4}}<JMSN%
zHc<<rCbA0EWSsP>`YCj!Q`ZEPUsOo9FS<n$0}N;RvW=8<Gno9Uaf0AMyxF>~(L3Do
zC+nr#eOVsF!yoIMUVU|6{~^hJ5JK-m4X1j3`K_Gl*zXkD?QN}*yaVH7oGynG7l_}F
zuijVVyRP`hvaed5!(6#@a4=4_-K;y<3NCcc{$;naj%Euv`A|MKLp&;im!m=6G>%wE
zA+DJKt?nz11Qqg$>v#s={(;yl1md?C<LuEk+~(Eg8`gKhHw%c5)TZT@<ZE--Ss6~=
z=>?#^c<u#ocBKmbTYRj_Ghaxo$W_>wG1te>>ABpodiquBjvj*izU00XZPo`u>?Kzj
z7ORa_Nv=X?10}FI#YME(ak0NGt0skv?<14%ILqRy4DOrMgIwQX*P07i4Q<5&1*9+w
zmDQS@7yF@2O}Kux<KOFvg6gZD0W;`iqwT!@Q4iF!zf+*xn&KDKx*Rb9_J1Cx&HM|&
zkJQR%yH+>)I2B2S$6w>Gpe0<Cg*>CcVAYA}#GQ{hZUQWBYO`1oy3)J8?{t@{l!a{U
z+f>E}w40P{u6&^SKp7OSBD-?sM#l3?lg?cK#^|`KbqsB_?`ei6m}CMJXVzTV9id)i
z!EPeihSf^pyWyN{0?f$dT7y03Io~@N_Qib~-l}VZOm11$sf9CLlQldoMB6Mkavc0G
zuHFVGd@(&q9}@eMcRZoF%k_QCQa?wt6L)D8!fGct9{N@<x<QAC+XK`a`6@?3PLB5V
z+xfQ*d?328YoHwHS4QHq1L23)q5PuIB-v4HAz1PLLfu+u{$_4>d|Rcaeg1Bd*cD`z
zxWWXz>-U9pm;lhZdoe1<X<WB6F*dg7jhaM5JyC9l$-P&c(K2#-<M6O|BT6*7<FTpH
z8LP&bZDwETeCk}8m<Iz=u|nQ-;OFPW{f~}2#5lhUg9o^S;K$y5Gpo?orGbW%>Kxx`
z-ZGZ0n65kEXQ(?aTvcoXdEpq2xkq(wJVxwuCud2nVQ&d_)Y*a2Zz#g(Gl>R05LdPV
zYQZ2%TcL%k&uW`HGcypv=T?2$#I{+NqRN)5GWe6(owTCjEQiWhIXOM4SMU8JGz5PK
ziy&njNGcAA{c$l9!tb|}8~}wSOxZPrYUMD^N{5is<r_Z3;DvDCJ-n_&*WX^M(H~5v
zpXk791+h)u8-azLLhL!{Y(J{jM`MI>IP$72PaTl|tljN!P~&mk`Q+i@0E4;8DJRG9
z;~H2R<X%yOv4Q_>En%BLsOe+bp`v!6lH75uM<LsjurB~<WL?2@3~B?MUPZcGiKgKF
z+e+5VUO+p+D<qqV#kOIvi`FNGY63{Ufc}2fe8}(1rZ87-fBc9&_jKJfJyGSkpEGZV
zzTXvsCwVrLmbLiwZsxGjx&qhB?cQM@mWy5-7kZwyZ}S1wZ5G-!KMU4ZIvnrOWZIyI
zwkxIPDBtUC90$?B>RmcF=YQ%oH@{|(YWGi0td>YZ%wkVps_YuS`3+Cd$rAMo$+x9J
zMuxELhHIL;kR>tB4Jw<U>%8+XuRoBO9eyapAewu4jlh^0-lFbaETS++YJPR3el!A8
z+0N4-Z<R81hWl>}@I~?^agTuHL$r)O{&{Ku7@pS`4kYeNxNU{PmFKF7*&08+m@dDe
z)6e9K$%xnKPF_q43%lYua()qpIg|Yvh+S8CW63of!Aft?N^LKoEVk7e@@PC7KV?|%
z2Z4TI@>IWOe@s#vce!j6UxJ8{gPpHOWYo1u5-=xsjy-+`3*kvEhe#vwF)RyEyZ}~7
z0{WT&&BZn@b_+YFF8=&~3^V^b`#lky%DR~PRlqyjpT*rDvn|}3tr%u6!#aaW^Wv_S
zJJ`cF$)x_^_`wYLDjmh2ZB!j5(QP>4HGRB2r0OIGR7fDq<>4q|L~rHvQUZl1aGCz(
z%h$(>50_-6F!=HKS8a63NS-n_YGo<)q<ht-e`anb3K>q-B}T7M6UED^w|P5#8O?zj
z_AnYdVLv+UAZgOh<)?Q2RJI%yJ;?@<zq@Y74e)2n-Pb37SjlKTvgj|wlA7p&&(9+k
zcYHxV<jNACVU3ZQn=xa0@j9ti_T8GXe68k6HAyS<EYTg`9w2vshZb9zgR4^`(v5X6
zO91>h+yppYZ0PsS`&~t?q9>#Dr~hp`+yBgBUyB+I`&rj(>2-Udfe&)3*<}kWde0Mi
zXSWTzF+XD+IT=Zn`I9>$RTa`@XvD%E!$FljDR!)}M{M_{WIDUhj*?2ImA|lGX`hL_
z6}{wKgtTcNMr95Jo_EHd-mXTz;HEcO+)CG9K93Ac>8OHpegZe+7<>8j^jA0&V9(ul
zTbcVnMk?ro%e=)owVQlOL$^-TbC~534wqT%W&DI^-3P5b&?hGkz411>6?aa%_~>@d
z>SKJ;WXsioF0}4DTI23<fFksA%#}=8aF1iNi?<f|L5SxgHYN#U$*>v?bHRVMTwnz9
zcdVQPv%YS_-e`ccM$5MtMdQe0P;2nh*XyOXWVYoGe`1|amHoyoo1pptiG?^g)Of;>
z#@D<$P92BhMmge*y5+ShY5Hu}<>w6P)MmJ&a;HV}J1Mu0m{h`R7>8HC)z9h(g%vq6
zU#qjnZ!3CyI0P4$>`F95KL{=_I5--eGTe)p{(A##7_k%iqWo`|AE&Z{Zw?Kl9=2(x
z-YO=jvvFlpOLU=uWcN<0TThs1Nl<l0{FXQBoB5Zwc~`5O{y}$*S6YV9Hwop7ISLKK
zAL)Cyw!rep4GKOk-0%(V!v^F-8TrhCXL}H!^C=0uj5*2a$~gtm39C1=EFYcHhi$||
z>HWL;17Bi`zwGZhr)6BY?XDx^U&lp6tcWtCEnf9ZnfNN<_qdGkqerMUtHh^2G~BRu
z4W|4#3pkQF#=Ln;p6STIWq2P5+vE{8mzw<b$2?lW<LA?z7C;SNpeMnok2J=jC8mJ7
zm0|)wl8<5!H^%tIIuK4$F)%sYDYRmHwR5ONoS;Pi*%($c;m}3Wm;kFTUEOyPZ;dXK
zuGdvAoVsKFi}ss(TG-Nn2Q5J*9~qVRdO7=(1v{tl6b5Hic{#eDn0g+0Xj&E9@~Hc`
zv&S57A@lbF+OoPymy#PW(bvRyzjkwP45j#x->j72;g^{x^o84A4u3B^A1eI16W`_V
z&t;N+pR%stkNAsc_)~EV%l53uWWg$x3Zx%nX37K(WX6NteA`*mIc+BIncT8ML;DgM
zSeG!hmt+J^_lRigg6PjF#;b**IHo45z|L-W(16m%B=XG)U7z@_ieN^#2T3V>$M-`W
zt95CoSW4CO*f0!^j9w)7#o4{+-SNNFED-R;+WaeSaZM}7<bq^#kY(F&V{$xS2qJg3
z2RyLWBLfnk`Ag46?i2jD&o%R(64_lMJ5<#mSkocq5vP@uIiwHx;^La&+l!OYmE#gh
zNJ{8pKP_5*e?$^96Tk*$=xCSKQadXLW&g5Y6W-k^m#QTmI~V?$rY?}1l}Si%@;R36
z<OaP!0FA7N!1K<*4{k`nG?>w&^Lief*_X8{VW)a3)7y8dpcp~Q{X#Wwf^arGwo^@`
zAu|L9XjYU75D*=4QCAsKyXxN5G0Be;Cf_jU*gjd1MH<WAqQ)T(=tdq6_9@kI7>gL_
zW=^Au+LsL*kzZ3=Kwmon!DFdR*n;dB@Ims|m4wfX7R{J+j31VTclvg=HC!}iw<6uL
zv)KQQlT`rz#%{qhqb3etv29AKSixIL(jU*RgUV99`aRRw337RSSjo_W4I>w2jADce
zTh^lq&TT)aKp~|SZ9$bfw}iy#%D!;Ft#4*ocah8Pt<Xb3)J_34cID`^@G~-6^XgxU
zi8t9hllfKtHzYn_6xp_Ix=&3_L@9}$f&5~nmg~B<Ou1JAp|4D-!bKz7hBQp9xkd3~
z1#+l&5RUwQ%{emriY?4`g=s-JDC&g1&C?2oh5mZTFV{-8Y;*DJUSi#NqHaV|2pMFz
zdW{aU2)8<4KTj|)ATgZAM<6a07g~`OtlaW%Dp^mcXytY!XuE4|FyjIFxa+g5!Y&#|
z4&kHy$#Nx}+6%IK*nxz`28KoR2*(7#F6$1=V1|aDv^&D(I$UgD+JzeuSjB|7RZsF?
zCm^hn2p4mvusuOkb)3)D_2Ld8$3t8jzJ+yy1R;(>6Ck)|Rwt@=3wOEK(t~hzcC+jP
z;&bUS(b%B#Ewr0NBB79N0<_!b)xFu`pS)MK*a7bpFb~_4istM4f_uZ<Ni>#7i>I4a
z|BSKl6VCOxG$>$G=2#IaBM*iRciJjS(Tj)akGk^GTeEu8et@Ab8N4RUp~~0~%n#+A
zTV%KGOTSMO&N|wV;VrZRvRJ)a>iC}GbyXv0O#qa4#n`1`diiVb&3EBwO7$Vk`KAt>
zw^P}Jo4Mm$)Fo>46f_)%4>18i*|M0Z;wf~XLNGf2$wLdieV2b>z<zANR+9}sY;1Ka
zLkr%jW1UonvF{hoW<*J$0cf-XBUI(@d^Z})z0J+cLy!o3s(PhU%BSAfo|?=c#O~a%
zW;L~*L9d}36ZLB{RYJk)B5!7GGQOOiZ9G&{eJ#6^h7CFgY>{}}JuN45>l!8EN|_fG
z!+X$ll5w+jsS{F8^d=(@(aJX?XbD61Km;ll_WQ{wHG2&e6?p^1NsAw<Kir(%JZ;aQ
zK~sTkS4qNXhq-5Y%VXvuqo=#{rk<zJ5$!m<D`MR*7&4bSX48jix4yvrbZ4k<6MCU^
zM7}IuPT<gxIE}v9N?q&EI$B!OJ4_V1Bkdgv@2!u!9p<W%tI4a9PHBoLWJ6p9j?)ZP
z!#dl*pYgVdbxzA*>JHEZcmyMb;?vhwyDj9d)K^iUGNfSjZEaNTr<C`Lv%0N-9QmfM
zZ<kXUk9KRV6)ZNs-m$J$g+8brS_6GVyQbat=yCk8|6--_cTJ2FxNJ+g>`>(v(RbTu
zp^j*M_6Qk5eoL=1h)=UZ&<kU3u67oL4^05-Rmvtyh|lW|Mljx4ngH55p-NZ8{qRa8
zuuFWu0j)!{TgrCy`t-2HvFt4&PIBj`w$C(1h$djd$znGx;2+b-DoqWnbXn@Q!x~IY
zF#A*{2eKB@{D7c)qLD2<{9!PnmaeYJmH44#olBexV2upY&iYYf2kw}NiBA4zrMvIy
z(==iZ+3oFQ{5FBKzQf`u2fx@-^IE-jrVZxPy&e>i2jlA-1Gxrcc5dveu6T_Rnwceq
z*Gr^ln%c+X>I{vbF|Z*Kgddsic{%Dd)8Dd~(*_U9ptoq#^Q-9Tjg(w!g>>QU>>>pV
zb3Q~Ri-vJ6a$$#?$_BcY>evOo<miYW^QpzMwb8y=V#h_Q5|{0V!}*I`TE<==)<RQO
z{K<%ui&^ehN(AJrF9ys}gp1u5nWD}~TDWp}1$;6`DmZY;2m?*dFFM(|x#X;GbhHLj
zBrahYg9ey2Z4Xw%9M>S)L}h{a&v>+&to|X#5X7AE3dKUwnorcdTxDoDsjDVH+#*AB
z+(2m-loD(RLH;3aH)X4l)@F9pTp*S=;Fs*RXaa!q1yuWC(K-FAhGkXV8x!DDqShy_
zHHkAEW{86jy|cVjVU`XtevC&I>g?u1xdkDxcy7$b1PBa1P89b+IC)uk$TQH&-X}y|
z!Atzsba6Qs`+Yl+i@p2!Or{F|17$d*YF+QyI*}ATGWELQ#t?>uM2whU%N2HMsL@=h
zjsa>r098P$zg^ur)Ui2_Y{|`bCL$U#F^eRHqUsxZ@3=a52#Ky%pY+a(eFj#T0F#N^
zhOH9ngJKgP%I2`qw!sA8z_7*_1`65c13O>ezF`7>#5c=jhPsVSSLA22EUL!@idMm>
zleT4B`+g}IW7!0#5zG1;sEMV!2Z2@Nm*-iAYikVSZ+6dw6%>uVzLxPEWFbJ_UE3cB
zaa1*?WweH2m~nZKx+|BY%d-v3ewVIJdf$C=hOthY7HLH!6W}$DV)*MeflCZjK%8Kd
zS2=ZtCY`?UGkrj&4A=8j1HS)NXj0uDTVt&Uu2@l21CnyRd=alj5sbI-k-$nk%XT*>
zmhDE!)jf_U7cUPdj-P#4_pJ)S&Y$uiUE6duk82%{8ht~{$ThUox$-%>UTt_k2)`+!
zQB))eORtiM3@0ciz{0^A5}~8;{Q+EF+%d%Il1%`AOu7kh326doz<gc3gd>9lK$Ne8
z$(A`Zr<Tiud<3mjRzz*ZWrb5)F5|7AUmD#F5$z+pU-3s}m<iAd{LTa*`rGY3d+lQA
zH2$Ldz=%`gjUBfc>gnQ=-C6}v)LxUd`=|78|DV47xf~OA0u@y9UU~-=$n7GxfGnWr
zw#h9CyRMsG#Oh6e(m>t7TQlv}lnJ1lcwqtvqP|`aA<&~aYyDLf6*+kUzC#l+9X5-c
z3W1hfFFoOSa>vL#f$-XW{B$yc9rE1@_PyAyr7XdCEmfI#^A?;TM0GqoDmb)bSao5h
zre)cSl`C9HTkCpZIWcF5{BQ;e#ie3{CXmH}r3ErfsiHHyYXZ7$^d^9O8OpH+&}u}m
z2_TttG0xzFdcH8GrihF+ySJS*U<Y}(J8bLet`FSGjx7WtNH-kSW-WbDk1~YaZ+r-r
zNPg9P7@OE3HMcX5tbYAr{PIM$NZ$3_4&>P=wN2L>OLX-^+5i_xKglJ}I!Kh>h$#*i
zeofGxb}JdWlm15&;I32o7!6;~;0uZ=J%{(NRAP7ya+q%r+wsb6jf|g-prgC5X$dRZ
z|KN2F?bEuF{>reBv{M5nK-dJjDV1IO^;Olq@7SFYk2Sy!iML#a>yrhcdEtzV>af^?
z!T{T#uz0>x8IZ^*zlR(;RRe!)*gLK<POb^}xs%P^2Z|r?X6EX)_@Jj!5j-Z^akyir
zPE{T5tX+^AzE$qkYj;845VL@nK4Ce%#GIJW8o5jKGfOT-zEB|R1bes0A=1<6n%TyF
z6X5GJToYh4`|^db!^pCO!`<RNv0im^Nblu*cOO{g`<CACJF7#dIaJg&ZC*Hnj)JD^
zIWh~8Sl=&V9hNY@aD^pp(i4Z3U756!6$#~vT&|Xh`hpWhrL#OzoYo-xeOmco>~m%?
z<6FFjnV4MYJK?UY#y9xno=MBqgq>cdolT3|x|(;L34{Z$1RB2TsSHx(us;*QTlS<Z
zA}+&&j4irP@jfQN)p_XfU}oyQM>fHCi_L9W;St|2B{9n<C|0yIrIXxvER3c(4L1RX
z%?iaNhVS3L8M-KQD{j)U8+@L`v?ol(N6##EZb2Cu=fcWpqT8iA`q+Khh0mTFuXO1K
zLuMI|?m98?n!jP-FV7=f+&hM^({ASD%B^08^{Hk4Tk+orIJ*plD)#qf4f!#G1AbW5
z!0OqB0pBkvyQ5r^5}}Adf49)e76@cE`Ft$v5Qcri*(-@#i3}9eoB68CL2wJ3L+>|E
zy!=OPocI)H0yNcH%v9nnU*7hq=sv>e4vEO$_G$~QtXHhmZUA+29k5~{Qj;?QSAouN
zI=QC2LYM$kc2|1hg;9<?%hgV#HY23}d6qz<PtVUf&*a(JAC}944vyWMYtUqB^<&$*
zi6sqCxh}lFib=OQZtv(m6z)?^YJt00O;n=`a`<er3E+PF`pj4vqli~MgrmxlKMbN%
z41JfwPLl8*^3N%^qaxT@;5?zkm|U=ov{caDJ=#UUBPPIF!L_P)>nskO<Z&uon_~>z
z2VAAQysdl0(#*FVt%`jAqo>=z^^pNZg@Tp2Z30+4yyaT$!im?S5VIQMn7YJFiI@>q
z6HiyHM`e?yNhQ2{>l4Tr{$?&Sp8fb4fARH1-IN?W_@?RiFefClU?bE)(qt5?f9y`p
z(Gy3?`p=lH2c+MrVDjcIS;`^g*|rcwfOV>4NVo&AwcGo^=`I%KkaQz#kLt_{Ia*2W
zllUub_dW4RZ@!&v|J};74XAavOU5*RsNCb|xSBAC)LzI!X7%T5+Mz1B_WOS~n^m&;
ztFHNzWP{msRM??HEa}-~z=>Xb{0QYp`Z~YkYCf*8b3w>7*A4sUngAagB<Ig$d97xI
zY`;zDUwxLJ+9|NxKVxeHesLbVt@rpnIzx7Ik%oSv=}L}i)k6FD3f_;cs}t>m?@9<#
z_BiAv;)#E-L{g=4`~s=6ZA9_)l)s=ua7J?*J)>UVx*(h=Lu_5JsahZ#bHP70r_jvT
z7+)j_EE*G{`&=Ba<=$A-5k5@Vi?vym=El9`9k8ynU-3)rIx`Mc#{DiE`rU%}J2&z~
zqIJ6SoldT+!UwXGc(Kl~YQ4h5M$<|%BOE~crgyOcWnnYsTG$R;*MvrwRLR&!NE^)%
z7>$e$3|G>lXXr8Smp=!ipy%G}3Pf|Lv7H0b2ZCv!Z$5o1CE`n!=ed<m?J(`w$aT?z
zbCHAda{EA1G4-B1u8$0f@c2D@Qq>w>wwWEmYK`)DwNhfxGd4#v)5q$o=ABu>QesWz
z=eGnPGi<Ogzamu{2vgDh#B`U>Zn$z;9`C1}519a1_o?Cq)g6-iQ+C9YPH*G=`OYDP
zU1*}OSIQPFMi|yIvKE01JbhY4E5ud0OYqCf%Fa6960vs{Mk<diBsjJt2z~vsh5N@X
zgua8=p6!v4Ej#}{#sgQ^>=V(6+XH>SYP$2kvfqaA_6}|=ZFfk%Ey$_tM17;+2ox1N
z!(4KEY^4Fwe@Ux-w`3?Ei^s`d3vZPaZXJC+d{l8{1))J8ZK&yS7RFPRX%0a7_SHY1
zJS?vJOsR<MCmBCqI1}55SdG2Q3g!omZ_70P_h;rQqP4cqZkYh=@(_yupma&?x)IH6
zx3H`YuIR6O4OZwqIJZ}6EGC;EGcFC3BLl;*cGT{c_nP<PVTc2MoSX`&@VJUrzyN=y
z*Jp{JwLOe75)eG8U&JRb<zY7Z+l#aMaAM}pHd|CsbH&`w<`=A+k*2`b29gXb2SAlW
zu&HHokskJL5WG_3dx%BC;=KxLF(yDcf+ETYA!fd7|Ghrd;jVXX(m}z3BKT4JP9SXd
z^YL-DE<H|mb39!m(^MD}<%;T|>I1_*%g@UX;lj0Tk)CZqX;K|mNo@g<_~$921l51$
z?aUhk_x%0b7Ma!7<KVlHh!YM7DbOP?!UTvlZa+R?H&=r;hU^m5Mljx(mOU=UE7Axi
zK+-NiZqaU^u>W+&81TFNKC``bY}{)X%PPa8{%aXhzcQ(vD{OlpPP(Nw!Z&dE3%XtE
z{KIXA&Lv=%w;jIkAd1c%%&(Vetv|unXZe}{KY76ohwFEV-tLg3u$qnvRGI)EVfYRX
zU5hEZH;+CD(s74cZxAJjWVMGnYIaG`{`&_dyCi7;BU*QC+HNbN$plc^9X0`OfF9C6
z*^TKKv<dKMIbQwsPfp$}k;3bwRlx3JxC!tdUk>|U{`=ZL{UeVaVM7PL^@VV0=TZu!
znbnY8SUkj~lKrK~Ajx)hFlm$x+Tj6OS3&rfZyIjc;a@I*jTD~`jEEGxv2~N7w%7IT
z5^TYHg6-HP*xB;`@ZJdKE5qTt{YNlgG|EFAVw?!yEjGipwuwjA&iViU$qS)$o9VBq
zXjqwq&+p0$=e*I3PN1&IuH_WmtmuTUINS7#-u*A1_=AfQO~Nbo?lS=%De>BY&(@qF
zI>gMg9&sMG&Gx~nbMsIt)21bF0G>Z~xb1+`lh3~yfLkYi&(qs|5|q;Dl6MN?dVQ89
z`&RI}mk+5atDC&5{um3vK0CAaZhe_>D)X0^#`a}q#*Ri<MvYzV%dTz6nOrBK+@GH8
zJXr8_r_nLc_L(Bg-F11WsM7U%!}XzZYpzD|zL9LPjYQbhxb99xL4(oPWHvkWtD?Uo
zNR{Q@9TL1Z(E$gUO;Y%OG_qQ!Ug}BeaLaadxF)Yw_}MK{eS>ABOCv!UD(WVG=M&dU
zGK(5>cf<65*F5ppSZv>F<GdN`h8~uE*vxK(8#CLTZRQYSQN%2ZWzaQ+z*%IqCyP)g
zJY@pd*@A+7Z~pmOUeldF81pgJ?Br#(4U#gW`$|!@X~-ns62Q!_N+GF-k3~W&JNUqp
znwo>p1BXx<ayskRf`>|uthpdRSjSENmy*#q(L`U+A2LoqmIxc4YYIQ85_jK9yh;}b
zA`eB*BHj2PbIP)nimcYTEe@f1%oU6A?HXn8L+v|89_z(|SnD$`IPCI#Y2-!HRmJ%B
zHp84L*q<Dum2U}#h+;8QLb`b@h0#p+6=L9Is;)Yu7#Vhdoete4D-H4YDzjrpw%u0y
z0^+ls_TS!3-(MT^gr8ijZmQlPd<iX0C4_B20WU$VLhv0~2>oqgIw^7b_?hI$uMy2X
z7^*^EGuNe=ttI=2wjw?Z4(di~oiqC)Mh(wX;lV1P3znpv^ek<S7*)>jnK;cZu0C;(
zL3U6;UuW0MwnJAOwFik(`S{gygR)ZgVCx@#jSSKUOkn^1)`;gF_YMqyOs!gePPB3R
zcI2A2N@RPPUrxy&>=rnxnAhbEQRcLE&4%w6$i{9E-5XdWWc}@yxT1nq`uQ68P0UpM
zP~X!yA<l^1rmm#Oqhn5=v^wMRR`#Utx7%-e*m-NUKIevkzGN@KH-a`F7XIiK&a*J9
zHZOo3*^7~bPwEy=g3Q+KYZtQXI+a_GHLa-xVN%U+zg?@dZMQS821c3fC;MG<T%=A=
zu+uRmj5u0akL9F&MlKlXopU)<QZcQOp;LYTs`}uOt|~6XqS=c+zTFw#lg847`~~I4
zw^yevr_$=zDkzf-v`hUK?(}En{;z6nIOb>p-Frx3h2G}(Q*WcwDrK%whPVNGh@qZQ
zh}i{fG@od=s=%GqD#7qnPw;d{9CJ9SoXN31;p7VH9cp|(m$3(>u4bc8tjjUXn)FkX
z)dHdap=Aqd@sH^ByeO-~Qep%KFD{cL>}yp@;I+c?CCX5e>*Wc={KSxg({)NKwb^;Y
zW<hY;P*KqIypQk~<qxq<M9>bRK6Bsrxi}TtqI)P4pBvY`KqS;83Z0=MwDol+23ET+
z8oKmiez)BCF?yW@PX}L$ze5Ok@M=l5P92uTDUR|qZIgvu8#)%OXuI`ZQ)r{3{lDtC
z{%h<v+Q0Xt&UwEH@BO+Hn<fWG*}r^0#;ysLc~dvxg>%F%=KB@wWe%|`s3>IE0XUnU
zEFKHQ8UCg2H!!{3m+|R(yOZRX;v8wDUw>!xnB~skg>AdYM3GW4QeSQYRN4`{)Ts#C
z$rrLUW~O46P0mDl5jut38RHzp1Skvsj72a6{__dX9sFP#(Ro+_+O(NRRi6tI*qq@B
zN$5WKp57Ryt8VymXy~W&llJ*b!1R>VF0@=+HrrygE|7X{@t7XoCIHm-@@1eGik`q8
z+Jfp-GK-@EqhA{-KV5p+=)jq0!b|`KR#XI<bpiKGMO#YdS9eijp(f-&fOU{Ic0nE8
zjYCM?9x|lh5)<H_?FL+J=+%9@26S||I8YtUKjvm`C@&r=C$NP0%fl0i;t915b;kh$
z)u2F+LkKS`I^VbSW@c1qb8>cq{vWib_*Xj!`Vtf9`1R(jba+K?7P^T&xZ;B-ro_X;
zO1V18-R(NICU}kO-X*!&<#H^{UB28!Kk4tkpHrdh{h@6o67<()W%A#bBJ~+ffZUZ7
zsTa*XDKv(gpGJ>8O(k0_-{r{MGU&+U=y?RC`e#hBT{AAmN%VuLAi-tE))Q7%+20E1
zi*?n9KGVaIxg$l-)TCild5Ai9^3#!ycIcrw=DXCbzJ@t8sF*$ciXU*dALo1Za}@GM
zQ&!gdjuNa~)kvO)^-NpPwRRYNQTe`~97l(O4l&?_fADU--~4%%?z&q>kNHAtY`Z8Y
zmXYkTMF)Mr$)FCoY;x7k%Z2D19m|woX@{%urJ8@66)?MkNnewk?lsUz;0+C|pIi4u
zU;0kKmp3EK9AQ(oN7@CJ5_l6D^e+bE({7>J+x5D??pB;%Rpi(3ezP#6w+?sge0S^m
zG&%k3ZGr6I7^T`h`{YeUg^ZFH>0pl~Nf$#agMGEMoF5S+9lOzoWP@hww~viXw0P7U
z@i-YZdhT4%WYot(;f7s~Y-b*m-QrU)V_U5RhryB+22f*`a4Ta;xt{G=luy^Ul*@I8
zd2=K2*L9M}xijoBMyU%_=yJ{YL#hajQ^vyIC9H?NaNVS*Q+Ci1!|nWMlJRw{Ut8DF
zfOz(S&#vqIqIt5*m;NnjL0hbtfs2^=GrZw1fIp|kf(<q(i3#9D*n=JF?kCVO#d)0p
zA|T2K>qoTv9;B<cg>FmzNn=!Jx<Aig!vVU#(cLM0J=>|)?@<^nidvb2L(k?%*Eg7P
zGK;w9Vi5xwbg+7J@+9zosDmZ`=GR1~y&l}ACiTAcgthez<aL4&DgBm7JOExkJXF=y
z$QT=C9Qes9d%MBLf*2#v!<uB5->dcnG<4h4?F9ngcP)8Nj(bJnxVl=9&^l5_t`C|6
z+_(DI^+Mm~)HvZuW-86%EbAcQKDm4H=&X8cxnc(n?3{M7P2Xx<dC->kZ&HvbYGr1<
zJ>g3X<u1{dq7>9UFKpi$Q8u9xnx{JhRwk;UF#Zld!^uWZf0v1dO(h6DW!Hp<IS0O9
zr5s7YR2MR-Zekz5QrRH-!bMHj5zeyfTFgih0~xXZOaQag83V2|ez(#CZR*J_Bl$j0
zjHF;R=eJXSiD6yb8H}E#Is!j3h7S~#8AGp?d4(K`g?p8)Mj4oq7E`V_^TMP5z93NO
z;3#zkwFat+zzsP3F(kacr~FCJ86hlnMx1#|@Y=IHTUGNqz{xiwIlN0DXIdqOQt1--
zyuoaQ)Y|v)AlvhjN?qrztM~AmKRLNdm_F$hi~fP6<#SpGO@NOFS>IQ_mjGFgJyKVu
ztDCreJ#noc=<;?QNLZVEAg|m`S0u70HZvaCuhN_cj1JCXcUnflMS|JBK^8V6DkG#*
z0&K`N4y>JaEE>r+`e-~qH=gzlz*7QGG}FL(y}L|jVR0mNpgMOLznc^|HUFqt0o!Z8
zd^5}R>iT?<m5cZAo0XK6nE)u4YpuJ{p7N!oL^5$I%tQQiV{^N*I!)X~A?#_&7DBw~
z(vPGjz><ivLM&gU%~WOSlN0q^FB#BVlI@a)U}W4M`@YvF)7fZMbF@SzQeFLyB)Zkc
z{Bn^ewQjp-Kgb${o*rf_o_)mDyY|+jYAg#)0Ay?p=m{bsJuKa>mqevd^A;U++V<s!
zAY-wY6n!kscr1;m*y;Ic$Ir~1ipS`#ZoV62p~#o|%U%Z=R^>ir17#xC8ofodN_%bb
zPrW;y6*Gl8>v^@4xtu(KWG8g^8$|_Ny~A=g-uWpMp_e2mvS*gvV`=u!-@zX69g+7Z
zLIMu5@O|sB9)XI&%%0&*fRw%47S5RMt3QO0d<SK4K5u?Nww*iK7T4AF8iK#XnQPnS
zeHEhQ7ivyV{D1H64~VhQ4_ErLf@{vQ$kcnMyLNdqZ*k&|yK~;@Qzf11e!miGb5V!3
z1>O7ehb~iCE1lWnr<fa~H%77@<EyR9Nv{is^pticmpevhS8joaw!Nw$+SJ~0`02(b
zZhlJbt>A}&>up7(h}#|HJD@k-lfFP;7|9!B@P5`G8!Fsr!wB0w@~xcVvGEU}+HdF-
zNXV@WGTipBYwIfbeynWW_`&06S=Dlz;34Ru&aaC$RTT$zQgirH-=pPuOAX@Ag|^79
zA>=8+ZbIWtZa%nClg$JlyR7`De|)1tl4|dtQ_{cMX85vSCv0E?(8E|a@=K<~rrRd)
z8zBWfVbfvo(AB?t24I>1EyCtESiz&LKQF6(5#Luo13qCAn!OlDhy^%b?|M7?hh&@j
z;aQh*=j@(sIb%v?a8rFiTBSv#d<Y8&@2V12zV&Aajx^bi^@C@jbu8z+gXgeiBeyCY
zUtoj%B<@{(&dD@d2Cb^`WXgCPgo#l<y7M<(?JL81{J`5SU4`f3RN-s5qvv9`PmC`5
zw$bdTf?M5B!`Xb%z5E%Oe1+juBfF?%hE2O}>CLQ0Cy-~GqUb?sb3<_M=cvJm*pG3B
z%@xwlSD-b<PYa;TS6Rt3S)P&EFrL{+OktB`Enstj`EZ0kr)tSIda|PWy5r#cru$Q5
zH!9hmy(ew)CH}}_7FGU}32>1fDiO+OY>qwTR9zL*wXmG|8t8*UM;ec<r#5$Vw8tC5
zo5}{i&C9-2(V1~M5!RXlI@zwVDGZ+njfUI5UhJuddj5u<%l5CgHonTobf3vQ#~y$q
zo%NEN_fL93seQ{cttfgO`t9_+A(x<%wxBd}yO2tE2|VA7f%tMcomp;wpN)-)j>eaZ
zq`!`}L%SIvJ$8?G1m%)!M<6mtD9A`<d_eag_D${<)~KjC;vz-XU!9fpXzX!#wB+ZP
z>yq-5gBn3S{V!|%2P#$&hwVm}pL6^?jt1c8znNNg3VPPg8iz6y&~AJs)x|ccKz7Z`
zyEWl<mJ_$9Q??_tc)()!Q6=Ue7%DrwJ7fKZOohd0kx=H81vFdUw(r_-aUXO%6x(>F
zvambMXL+Ty$p4!+oz9U_*IuY1-b;qp^sVltCiw7Vf-c61VP5)&kzom(ZF1ySyC<Bx
zGmr`jQSG;P+&h_wBggb7N7+cT@;fQ(8*ds{J)H2l-R;wIQ6I?}BJ6;kgLLKWW-Nz}
zYwtx33016}oo(Y~I~U2lKW$a|ONHfP*LT~M1(Uuunu6I8e$1H=o@FuEBao-8Deuz<
z2pcPdP$+s_+ld}<f?5N=8(@e`wKG?xlsDIcnbYmcn<`6p425u?Fm}(<v*iu~dXUK$
z*<wZ3tWsa~W=T?A`|S?#%M@0is*sM@G1e|W-NYJQxBF4BgmTVE`C=@eGXW7Tp2Udg
zpIm%_AQuZKmy>e}ji2#847B~_wvR^>uw|i#Qhx?Yjdk(;o0MgT+?Gr4{UokW{}2KZ
z1t+m+A%-TQ4X^*$6Ab#X)1f!rLZ?z4jvQ=b$jYC&pHsPg8!>WgmaLmd5;rnx{zuMZ
zMz${i|4{+PYy0fkbomanr)nod%!pqdAe;)1mBpW5M<2tJVO$g7Ecl(-Kvrag<49s{
zJ@q!$1Sp)^O;3hPFR?~TW9su_IBhed^-oU1?a(;=^%=1?Khd8);YSmvHQCGJxPq=M
zBxFh#k#33W2Y#Z0HHe$z#lnI%M`u!JSShcc?11O+4J&0AWpa`2M1PnpFSOg~y?VK`
zg~jdw=&;z%3(t03)tUf1Os-*BOE~Q}yIy?Y@(pH&EV4odou1OK$7hC%HZ+(&oKcD_
zJ-bkm*D~mNY6WZP)(x@L&D>vl>#9S~Tue5OK9AMnv_SkvGd{#kSYSjk(}MrGqDORh
zm+Gj9^uJIW$pZ11LqRW#<L0)x?{}2!*AryEcZgllG@-J#02AQUY%b~yTAteWNF3DT
zvCX-7?NbPjWb=}Xs_!LJ`M@WOV}aL6+UrBYGYF!Bj{Jk{zj6PE?mP%K>)7PFj`(6>
ztUSW@RAf3_-lM99{`3avdZfGcYIL*<<GCLGT6Var25O@a^O~4-qg!Knwz$mCSC~Q1
zlBP8Z#K`3(X0he^*%5++?;y{?ue6dZxmm^UaCH^PqT_a2|2TvjTy}BxpMZT40mTLa
z{mK60N4iqeZu4F8fFHlFwi5Y3hw{cpQy{wx&4wg8>twMbDe4LuoURbgyH70fmwNW5
zyGze<JNa|nwxuIQMmU`_k~u5x74%0&<W2_OLWS+|co9t`X3pfaRSv^50RKsE$^Um|
zZcW?sVr$khtZFf1BLcp5f9Pf08$qMP)YdJS%EgN!hh7NEK1|l5p+oB*-L|qc*iVU_
zar5RgS(m1)R&e#uLea>}&9pui77E%oDnJ}Sw~TVgZr?QGq?VL?4ah#7d!R<D5jv6R
ze|kmA(1Xp|{k>U`QmM!TWivZ6w9F84o;Q{`7@DY6EJE3C8f@VCY8gGDpLd`m(r)-<
zQ<S8|ll3$1%RMf|o#(R6TD&F-&vc-VPOKg>0dBp{4!W{zL2y<l?sQhcUjQdO!;-`B
za9d#^w`-&Aredh0nP@xtG1UY(<Ts1LrBm>Q@`P8~*HhC=sfzfdqgB29Zr=;RsP`97
zk)|d1y_dT0O*ejK0=$dq%_b<x$xA}XcpvMW;@WXsmkwM!D|WqJXIPJXokarK;cQF*
z4{OY9v{DB5F&ug_f#}Q5CQ7ZqaiSxeoC{xQKvyxztKbre?8}rm^PR#72nJbK#ZxQ{
zbd$WF^>xX0sP^uQbQxbQ*X<a>IP?Q&W(K$h&zV~DGStB?-X{->i{7lB=vBAbBJ<jY
ztr=epp^)DUK{7+tRbrx7=xrK0LhV!=T{%B7&wq1o(dW*cRh1ZdXIUeR`0XGB&6K|3
zZ|30-Ko&=k-;RhDXT~6~GFf1_v&Bb0{7S;d@u~EfuKQG!#i7>0;Fym0yP)jciQC&U
zeMty>+W6O17a3YfI~-MKgy+2)N^nYMG4M%g&w3@R{TFGR!y{M-P_)$lW6bHQgE{?H
z)|l9Fxdk+Z@Yrx|Ftm2D%5Q?&L&+PuCKDXm4-0vwcr&!6I`0uP<+d6aZUTg<Jq$M%
z@C()f7gcR^?2u!gXiicG{UdH1>g;_A>lcL*DR{OJZnU3^*lokT9qBclo|l;mPH8yL
zAy8YtE&d}Ryi;QW995-XPQ7;tr&$)vFLWeD`a4_jqicwkn#U7xRXvPh7ZFDq6}?dL
zE~pNMsXaqCceH3%F`0lp;4f6yadM_uw|q+!#HP9or&WHmub!NH&+V0s<&16GvJU>^
z>#?F3-dyb|FHdJTQQxGRdV3?Fd|lv)R@4pcrcQL+dQL*3?~qe1RSz8w02Y5E&h9T-
zw|y#!BR`t${3S{2onU7dC%sBLHpWB0CL@(RR!lY_Ps_mXTld^AnqBVkC8tXKSG@gg
z+NzeHa_twNQHBMGT(VR|H@yCua#PX3R+QvB_{@2w$bP&$>FV#S@~@g50ksz5^D8M|
zV{UM2Zbfto(BIXbZhh4nFt{>NUO09SXbl>&g=~*qlyAFoL;K(@z`7)@Bi!t(L><=E
zHE?aqcKf6DpkjY|CCNE2#JPG*EMOwFc(am!FC<)VW^J{Jie?g_9;Y;CBE}BgvN~CA
zxvo|)i*3lz0Ew^zG`6As$HXx6>Kf0(FIi<Ph5ff4@a;kOXdSRAx%AzlTJ1WBZ!RLf
zyYyX~ktyP8#oqLBcbU+=`v}E}EZ>5h--6nzPRa$6`8tkNxm~y_?v`FM3I-8ErnyjH
z?J<GMC^Yn^q|@_>>lq7kvrh*<0&DNt{*>X9moriH4Bg@5>t+JH=qo!_lRXF?&)`<4
z4q2g004}Pm`Pu)}itg)JUzZ}fY-*0Axk9(1S-F+%0z>BrG+d<m!)lXqlU07Ky>}26
zgA#lZGe!2Opv83+4#rMb4GI_qx5KoVc3CEXH#A!(9Q$WVhUzqtuSdJ*9>)%?7w67*
zf+dG3i%JE=o`#=an-;ARr=4*Y;?cMy>)`s%kYIA$M6(cIrY`NGw!l?Smxhc3vi{kt
z0l+R{+ltpjbNiiGJHhMc<+kxSW8GD0{I<rJ@ZEpm?5}(T4JzH(_pG6%u`K`B-ifl!
zzNVAZG_SVU(5#95dJhUmU<<E58!^m#j-xg<W5b;7>A<y#!UnNNiniuTBd6B8W5>Q(
zdEDu0lhI2WEX|;>Q3pawYiollOn}t5{AcaZ6Q2)Be|8lz#M_wI60RzMq>@!5@}EbY
zZWn(Zz;d6K$4{av8iK<0g#BVo0j{e`u&J!cOoGB;6_jX!myiXFOZnPi3==Y^l!p&`
zWo&#ASoVs&q><KOF}}LlE~-aj`sM_ss<hvC5M0pW2F?1Kip0R*(vg@6ME5^xy8i!W
zdxs=Y?#%9oz&dup%3`-{d0)3Ubdh(@Abg7dt@;DcWy7a$6QI$a$N}DuOY3g9NK#1b
z#NT9yK7(RNv;OTs@gH&EvdR8ydD)LEB>1o%{AyFrD)h0+$zL**D*R!EB{nw~s7(ON
zBk50<Is=$=%8_+^n_M+d*>|nuXe^p{!v1$nTs-#+U_<KOJ=Y3p${pgOJggI5A(<QE
zScCGR!)YFlA#vTzH?)i@9&q1sp*%1v4D5UFH$3{W8AHqS)WcTvDiO+yrAfE|oC4w!
z=2N#NDlh@N9<ipwduBjOjQF2>JfAplSAEj+=VuvlwfqIW%O}f%&Y&cpG@h_fWb?=a
z=tyJo16^BDw-SM4$vHw0V*1UQBg)ms&%E<eA|6M+FJ?+BNai!0Lo@mSbY=b#N95f6
z)PQIh_shxz229Kc*FM2trUy%Qfw}Rmf5Jmf1G9TnY4?dHzu)y*=XsyqF`xNyx8pDy
zjrK#3O@MUxX(hd66e*af2`c@&hyu)tVX?;gi=uKh(9zY}&hgUyv7yw{{Rw-qmL%yV
zihZPy*5&3-#D~MzOn}oS!2Uz!O_w7ae8XpD5aBM%&Cs1~*5moWN^*;9{CgGzjmb`W
zJ4Yu}_5bZx4h(Z^(g)ACQvOwTxAVT7oawwjc$SRS28DVgUYF~7`F`14q6>o``C(Z3
zRDV9RXinp^m34xO)K2mOw_X#h@Gf=ichJ*WKKe9GTPyzi?ECK&#vDxP;5pWwHGl70
z?zD|(#`ZVVt{rvZ)W()IN|m`UU1}TE9+V{mC*b~FlbjpDtz*s)ivmJ*&4ZZ%ZoB?H
z#`=~tvEB2<V^?nU@z_4`VrE}Px?6C)G%|B>-slS-8zrWw2#u+-BRvFgbC2&?4cBRA
z-v4EMbXOqwCOM6on6Rc%>srdRak(=&6*T<aUo><l48NR=4&)*+kmJbs@gPW7>mYac
zZa~KKec!jqsa)Y}1{)UqhHzK*45mf|seT)t0mI*0M!7CaB}qqnty=8##jwiQ-J*7v
z(VUG@WqZuZluWh}P47NXyg)7zdCbmm3*BO}@$OyE#^P=Tx9B};IxyMAzcX8VqEFA1
zz<SmbYNhy7kn&~Zg#1Wv_Jd)?Y{vxS@@_;&E?<=vv#5ceR~CrX{&v!mU>?|0HGFh-
z1ixq9)7;{yo_Ah#_b84fP4G-7d7moXE!jd&E-Fxo)DbP7J_O0`PuYR4>i)K7JcEQa
zDm$8QGjA&9B&asflTE(;V$zOJcWT-%?6FaHo`dglqi+V!WpM8D{H1m9*`n@2W{@hE
znfA<WzspqvaE_%3ZcA1>DDj!386RK0Lu8m*T7KHt@4S1ay)p9)*u)24l#0D0!>aR^
zQoK*O3i?s|=~?4&5L$>_8UYj8YYq-BIR&GG^RE6;Z+^{B)&H6O)8SZ>rXX*JO$yGc
zs8jJ@bp`K#Op~DTA+t#kgmT*%gToEt28il(_hvWEf%vq<K^!vKM>(gJfl%|{7pQO`
z(DBr*Gy`s@^-m?bjpVg9BX>!KW!gV~rx_fIjm;Sg0e?K0C4HB%j^;AR(e7thtk?vi
z=b#KO;0mALn%@cO3JmFg4PHOQnQe2<-HmvDw@VWf5_P`H+yu$GG~AwwKpgPvxU{p~
zNP$9%MVb~@6QI*sRv6{$dmgLaL+#IK3o8=$2E@PV!t;-QP2k!?f7)KP!NX?HEWBUT
z_=UnvWlP%DVf?zhi1}4k<cCzT%?_VmT{c2NLO^$`X9zCTKR7Xnhg$!_2x$}_R}J<0
z`h_6DH<_dBOYBy)Miy0lzEcr^FVv{fHtY%oV(jwLP*G)~(3ia%MU<U*AAW~BZGFq`
zpXmP=bMGD2=9TRWE7LrQV|y43xKPg6F~q?@Fs2vHj0=e=8k?9V${1`g2qDvpgftT;
zwrNsqOfO1I3kD%$RA@rMAQVhdKp;Q@$sh|XWFaJ>-ag2jbMIH~`MxuE?tPx`eIETK
z(0<?j?!DIUx7OP0_dlNI_vEQ8MIHOp0wFlM*UY_cYQLdAf`#JosInr!m=?LX%jw)~
z_OM@gyZwxT&3oF*O<Z2nq*arU7hA<}#G)ll>>G0{q|Fb13?g}#G+hWS!AI_rsv~z!
z4%v#u_m_vV-lnfhPFlmx-~u)<f56|Vp_~^9>S#kQL4r|4-_!YS@YN&C;STNwA<rw|
zJ6z7dWNTJL+14Q#d3^|CD6L!EvnDArwluaR?oo6oEca~mO_H6X2Q7oni^*9%HTh{h
zfyt_zXa@Z66{mkF=ySGe8u4jZG^b|{m;hf~alQ!p&FWbXOnri?qkx7gVV_Ujp}_cs
zT$jjX&)o+le4Mw|1-ljZkRk9avj#cT!yZgLPNv{{M`gLoBXz^^5nrEAXqOdBmb*)%
zgjLobjfL83-u^gbxFr;7cXk=yN8cbQNe3BMvz8q#Yb0p}$-wt*MEpBAC>qgOSTGe`
zU9_gS_jl%GNP73Ww)Cl|3m>HaxAj~{`t6B;4A;(A!iZ#$v&$!J;?m?E6WzfQi0w@=
zk-hxkb4xuNw8y={H81A+UAa{{mRbT1Umzf&N$AyKLE<rV6&y`-cwgwDZMr==o@EVk
z$E&;Tp8O<mA3n|FtK3ztm!=Tm%kHvUI4E$9KpQr!eKge%{M^Uxo25o^fSYHCtRmnG
zflovh@I7+Ls&2X?_GCmT6fzdan&^N}8;6Z?v3wJtIpF(U6Cg#n-8Z`h4bBR%j*rP;
zsvpwL*p52*L#0x_Ih0$%ON>4n{K$&j=u~*Lm|jyOv5@?EC9zlqVhx->B0Bwj{%3Ux
ze0$Nwaehlt3_g@|;0vkiXSJni$&J1VE3-7<XiVSv4GrdFvBGKS$oKwM^YZAsje+Co
zX>kceCJFU2(`EynZ)B{NLzf5~q4*fk^N#LG{mzV9+#kuPcPL)X{HIcw|G2E-btnAL
zXBXdGAbLIr<u~}&E#+o_==vr^UW>|rtSX`k546Mkov?PH5Ggp`4FmZ*gFLb^nqoY6
zgYO1`7<9R~9o|vYJ>fR<XJMKOGtaTmcaQzOwrtNs((4o#J9i<`Gzfm)Vs>l#YIwkD
zTfdn5{)i>%<pcr_(v%gp$(fFC9}$Q^X53_}iwfiiQ-}oWY35LOq(pAMZFDKaGo^O!
zbqwKS2O;Za|6Ka0Q^Kmt*~-K&BkTA%ZN-d~$)D%eC@?mzQ4O`~t0_5g=#Rx*XhmY#
zbm>P4VtxGmdKCt55rBXb{BQ1V!aw>e`MM~hK6d>)B&)_l9o&Zl-kC&#enT2Upe(YY
zv7!s~-|T_L@yx#FBWLM%G9weIX};PzUCsWf^uZ<iV=NFq7gd%KAbLagkywh-!bT-Q
zkNBE%aeF|G(oTKASFzz<9zB7m8pFoHH|?lBe^{?yEu-hnN<vlV;{%+VXk%i|Pz2=f
z?A5jNH){#t;d6-G@nHgjb$Wcs<ukD~Qi{je6nSo{xlAVV`<yCFxo_g)X8Xlw3Rk7N
zB<#o^9vuE`G+K$vFrI!z9jT)RemSMV+}H`v>}GCbad&PF+Y+QV#4(103pFWj0Z~1f
zMZi}{XgP;)v$6Ypud6n<9V4e^X-BqZJRIYm?&6<4&ud~<w~_L>U36C-;Y~?O(!w$h
zt|EWk1D}m2!V+q)r_=q#jt#-tjL5D$$VJCRMg6zuZ*?Csf|LKwuFs!o2huVTq0x*~
zm29%7Qyn@B$>$6+3K3lHg&m4y2nHO<autlqV?d5JgDQT%jX!smLoLvIq*0nRDjl+Q
z&ndqyE*`k){I3U_17KI*?6>Jw5ORsINTSovVO@J5``!c-5#RV?D{-2ZOrRrHLJ@Ut
zKnCORNu-qvYH@XO$OMpp0C?od?+GTrYyEw!BZjJqX`-%qoa(VNi(UOd=Rs`OBTzgE
zYC)sRbEX>I*S&3y6=R*sj`1sIaS2JMl+(?dSZk0JuB|~JeN6!Ohvw-D?BZdp16^hz
zX&uD%a^w+~sqtq5;JFi@VY6(g3lq^C&6w{a_>hamkI^pu&G($|)YQGZ?2mgkg&1Q(
zKIAX88`Jl|&2|Qo&RxJdyVb4G<K%|w3S2>K`m8xWa-wR9EM);Fb9wn%c**mUcM^FW
zc86<QUn8;$XB^t^Z^`2i-<Pb(5k<I|D5aBpmp;ima4qAw3~9@W|7sbFc_}+4lj>~4
z{D&Zz^uFXX)XAef1NEk3t_5RU*rWOHJuV~Oe*6EJ?q8l(9C^rFQ|%T735TqvCwG+x
zUvH{c%oI6RS2-WuTAi<>qnu_uPH_f~`v#BADG0Zf3h9+T{eDE?AL_)<#+a(e@!uy<
z6Tfu3FCchtyIid0dpP#eWj;$vVkVP3<M)V16xn&n*2z`Y>h>*KRW)s2XEWj2LurK}
zGN-a|Z)Xm?jU%m2VB0gnLu*3g_tOgT-7No&Pw&Wj49(~+^<3@7-9);y|2e0)1nM!)
zmCvK4$k+ed1yg>}%Gh=JEawtfsS1@M(BLBF3rK|JE+SX!eW+lRa#bm|#Cbq0r7cSB
zC#1jqn8>sZyI(`Sq%Z-(?jFUXU}XYm>9hQ+5q#1)9|Sf{s~FN0+-l<nEl$on0y9Mh
zbk;)m0TaM_xBB3MHd`v=32j4Hat#@*1cx(fbb_xqnJjt$N_ZmSLUu34TK3Q7sg5@M
zzBYJ#F~hy=czSi0ja9Y(g@Q(OV2iioRN!l$!Sdy`^Q=U92q`OEpB+vSxuvX>D2d79
zq>4^*2j$CpA8@p;Zuztdexko;bF@M;eSVGD0h3F~qkK4K_RVu}#G|=+-og;QiL^az
zgM;gXgE@y&Z_(ZOkO)erR%t+H72yL1u6VdmnDVLY<kJQ9p_`v)4#wPo0$rndSDflG
z4e?)S6585)*o{&)BH*AqTB^~4kAu?t7JI)q{-M+spRHG|57hrn6!J-6>Q)ZW26?)o
z<PysfW92XwefM3mc+U_Ien}+53z&?T5~>IYe<%qhy$$_d_+vXP>+w&cm=3j1_^G7K
zTW`G3nx0EaS+{S>v>xfgN42zlfqh=8vzY0j_H`w&Xc2!GAs=lOvhr=8uJ>D47uT?8
z#H;CJDBriqN^*(`fc>)b`aaG5+yBJc_~mGFL`0UwbExRA>=D@XgXF`0>OFEEWE;({
zG69N`6~<J%)55@ZKb&E@`_a1V8(ArQDA&3nAl?i6@x-?D_yyQ@o|ZCWM8?y#7hEB(
z*;D)R<Btlj#s1a=7@6r8&HTc#faD*Yg(Z5uVkfEz-hRFoO<Z>q0FAFiHZ-9?_mnPO
zeld$XHYszfA)iS&c467uNPEMevSbGN%LHahiPG@ywVroF8t1EGz3gp~m;vWoZYD8Z
ztz#xot#RK=E3s^DohXygUio4>n;MpKtN0=IA&n-hA*#-Y463jnlE^U1=^g`Yr!dQG
z9&sRgxBU(#%hR3d%j~cuAaroQv`jA<zZ7xh>KJl3BS>@I{oAhFV+@bQ@iPwIA~SF3
z?)NLn9Yya=UApoh@~*dwn^}yv=ED<UtNNm+1Dsx5Pdblwf#&*ojVv}pK(DvST${jn
z_|gk+(F?iNm`(5;6db5oRD5;BVJ_Bj`f_`faOTJ(;s%QpGUFJO==p@6Ld<+Kl17{`
z5}{TG-;OAMtG8F<vNC)c@FCFPX{rTtMdd=jRT`XI+zq4&7I2+BVI737hI+PK4su5u
zi9eVCP=_vhDyXXaJZ#GZ=v3=a-};AdA-;In6=8M#jx_d$xtR(ld$%?>twPT}CYKR0
z47gsUFVQZHj~V6P7Ge+CGtCNRdaKh_ryTjw(?BbFIFt{pBb4kRil%w>)4Fk%k>*=D
z<3Lbj#|h`-g%WUv+>T87cvFP#v5gvlRj&I~tcd;F)C%dFS;pRf)%D3}FulL=lv3N?
zwQ5x|i>WtI=ax5^kt6d(o|A9ELx|kr;OIf0-6j(NByn5Z(w?SlQ05ytiNlVyku&wn
zg02s+Cl_O_rY-}Maw6U%!>5z_GGqhSdUcFR%Z1_Sch^~ZVt4Qjf-w>;iV2QBwNO(x
zb!lu&wO>RE68*l!@GsfT1OIv7LI1x+P@C)e;GD8$-kMk-;5QRf7V41|&_mDOrGzAk
z`7uW^b}YNbf$Hl44&@se;STGw6(y@=A=~~m40MKCx>a5nZvcJ$@B>HcoIk?cUEuD0
z_*CM0CUlEq-@*~^N`x~r?PW!Je6`iv`b9R2^K%2gv~?^g1kooC+cY3@i6|xIr+R<j
zSlTU>3GjX_^r3_U3AB$rR6|A@v+6<i2iXf`#vXy-ZJ*PL$CkQ{j15IVc0nz>B`{T#
z<ulKatHdV<uwOCkUXdm-i3XIXM4TQJ!GHW(Ih26dBmEO`pkGbxk$zf^N)%-R$byPv
zjcf|b%%Wpj3RWr=dC%iLr;xVFhLahtT5y<u#=Aum!1seM{%^UfU*|m=fMB+^52C(&
z)2S;TLiI0oUD}*op)0l|qG<cxkn&(fcXS98<RzySC?$pLP9fvE%vbGwxN-|}*@xaD
z3k!Ne90o#!!Kmhb!yO{T`%~F5KWNiJv2<AiU$n^mbUmf4eLn6;#YjC`aiDc)CbU(U
zR&W|}wZh%_&F+HO+uPadLd2$hOpa`YuWxoB_Qo{LIHuhiO^s}2mNTDd8wzh#+$IYf
z;AKAJPLUVy`fb|G4*~6Fq~6T|4;=8pTFq&4Wm3}oWT|@s^e6*Y)$gu!jYjk&(<*F+
zpS4~4<G-}f{;Su~890+$vXw&7G}W&w<!`W#+hM;-k(s9$UDzkWS*xWH@<4<MfMnWz
zf>%Iib|~#n4Hvfp?4L+3tZURG3x1a&T<Eb+*STfz=t!tiM(cUJi*;m*C_{=_h_^f~
z!}rW-UAElvg&l|6wd2aEd%JDd>E6NLq|WMF38eK$Qg7&J)`hZqZ``gXVS#ZJw*mXC
z>{@_LUEK5RxR~A9ja+ZrZ{FZt?f$m4?V0@5WE5uFV|f}ZosCv?O}A${vKO$#x{8Xt
zi$RY@pm7&L5vXtzfD1|A*Zf8DV1C}h{q!!Df&}u;)X=R|__fbp7L;hKx0|-Hf53-O
z4pE@um`84yWKe(;4)I7Ytp7D0ZJ;g?3?{(R)@^tbW)~_4XMII`m5urX{4&*U&aZp%
zPz8U8Mg6*EgWqhOr|)UCThsSC-+4`mdYu4F%z1EdVPNTL!Udnf(mjAmj*^J^0yU%{
zEt!aP-B=kpDkoftn}1l>aSY@Nx(mMj?_3%vI*naxrgu?%wgS!*C7TnwdXXZ++ya9^
zd4!z2$)2adh9W#Dvat1P2{3wkq_F%aL!c|>!B)CU01bDv+)tBy5eWm@0{`~Lv9lji
zP~>)W1Q?NO&>j7EGCi}>HnAS@|0R$8pIry0JHaf-ozn1G*VL&?EXY1|cKz>7F@MoK
zk!^QLCPlGh&oXtM)ahPc3A2q+pkF2RB+z@}olStzI$s8lTG9c#Qs{PQs4qxi74)W9
za@;4c!@K+}t_`8@z<A8Ctg{3Pq{JdcU>n=U4Y?IrTiSO0QPHXX*~ccp9|xEiiSFP6
z@@eZS2fEcYX-wdCO)g<7Tq9ebo7N;b3efY^Cn3gXMxll;injshP76(d>j^Dv$aca;
zUufWk;M|r7PGfgKuRa|2v<dh{0q?Dp^>QH4Y~!qhTHt1rtn8{P<m0{6UGlgmnTvFr
zb&icEBg0SCaJ|>9Fl9<84jWRdnIGj5KukEhB0{2=m}B?4Z}x5Dg(+Qm#C~I?AV(Ot
zAgd*Xoby%dA=)>k@G#CKgN?O+u^;kg`iS;rHp<VpQU6>@FRa}!{^sn&CNh<jr}lj$
zZ|f6LVy>^U`;bVKL{RF+!d_8nob^+i_mbmb7Fk=HqrLZ6+iLILYD)_*en<$8t0F>o
z*(5btCI)^S7uceWua-B3wR;6zS+?gEc;@4r8hQmlkFwgkp;zCS0Ee%#T|O75a_x^!
z8OsXuD$ew7?L_65cMzs?^W!2a*Jb=#^r{dOk!4G!3oS<q7b!!DBI@Jm#9~FqzOtnF
z*@tySu5SqX<S!MD_&#AvwCma%Z>KmE$Qo33{mJ4RqP-MNl;OYb<pR%itfdykSFQQq
z{HaMBn=xnjlbM@q=(j?+w8GWRrUTJnxl)kN0uIqJR+WQ>qiF6YS2FG+JCX#+#~RMp
z8}`M|_zep9pIP0Ki`k1nGmc1TeAeVig$EY21>}V`#ku3(P<Av0Oc9=?!FQ}w;qy2B
z-9$#;@l%V_-_b-_>>5512fxLji!Y0=MiAQ+Bk5AX=7k;Y{J!uRR&Zim>N@=da`6+I
z2-KdHPaB+ix5IJcCP&n*Y0$n-_QWnOi3B~iD8r+U<FYtJJ{k6`DSY)X;jJ+|QJMF}
zu2Il#bcwJ2X`+6JQFi(H6;vTfCKX$@1RMODx6oU`@#Z7u=GiZQ0-j2kwd@*WCD_|L
z3<ZPO38={Gt^etGz%NU)&_BINIl9VR;B*BtC2MU_EesKwh4}=OZUWqJ0;B32m4_6@
z{O*Xy{HLc*4X7q{fmcpT+{>XRK%Tu1gF`x0j<V%}O2&R2F!+)p*$;uUqhm-PtA7rG
zllf*ET*qKqos!tT+h#z$HDcH~4#&X}mI{(r1FQBSeG>9!u4}4D?*SFG=3|*`_RzT_
zrE|58skd4)ug|jQDG3V%5Z9h00SD?(%f{IS4aVM&&>bAn7MzP#4EtUd-ZAD7;bR6W
zNa_E(<36ymQm}oan=}gN>Q-I6G||jOBBA#zsP9)$QR-E=39#r=v$*BtZ5TIV9ZRXI
zn5y@g%Tf#>BJT=`2FW$R=z685U&WifX~E<4yFUe{O0Cgf1#U1(tuqU6JglQX*_>6K
zpYvtVdPO&ls5eiTZ`8&=H%0pnaITqg6Awq<q5voDz5XL^q5u2J|9QH9N8`+G_cnN7
zlfTufzNvpre3}^1RygXHM|vMSc@MMM8PyQR?%PRQmx}Mj{|3y1{VB%*B&FPVndx`L
zsU%aFc`W(R2Bq2g!$<BD_aJd{@MRD8tVLUdmAG)x*+;`t$Xn+2Y`*Q4#Ww>dJ7fil
z<j=?b3Ot}dweCx5c|I5ZD+c5iDJBc^8&v^O`c9X}NZnX!_@Xy0;utliT~?S{9kL&R
zSNe?qZvH=0BmOU%c=VyhqOP3jPVC{ClgOC9^Gs)7)a<Y~F<Gw*TKZ>xDcqY|DhzEc
zHLeP`9UfEo<GCIeq{#C<oN+(TjB)>|*k+-DRhWk{RNXy(wD1P<6k@;u=hNAGs@H=?
z=Vkgl_&bf8Ob9fe(hXmWCouS@R4uubA$^*@oEqh2JKICsrN#=G>*q7-3w)C6C<$<|
zecDN`31IH+hkV8#dE5iJ+{1u973W9KTxeY9CRD7Rt*kE`{IJ%^KmK(#KE@wBssLV2
zs?Ucvm;i@*b-wnW)nMMOw0#BL+Mo$wCj>+5?N9V-<^6kOIR_3f*2>Z5HT;6K*r&{N
zU|xK>>zL}H3i9BL_<jPiKH?0dkRv1nrcb2R2p?C`A6HHUu@)#Ukwh2pC0ggcj3`up
z16yo}k~j&0f0Svc78UKpe1p1{=zaLGM(saUkObGwR+LWSf&?Z2IKYpGM+yK-K(xQ=
zX!V>V_Byylsaikr@sHGR4OuT$O-~dK6^t(_LtZn)xy7vyBOdA!o5CwuZ=PSLRt=j~
zan1QC$2n(h(=&zJJrh7(%G6tL6P<Ki(07{XG|tNadFkH;6m;O3Hovx>*y4xAZDp~P
zGLJj!>dtCPS?bPk<<X*-rn3Fx-$HRE!c6NbMzGAyA4kuLyTAC$9?Y&`1NtiB%IV2h
z6^0i~D>M)1M}WrSVplFK&n=IT@m0S3CDt@1;2?c0uPr8g*f)?PV_&a$v}Xke0RKYC
zg>BUHn@jXG-(wlcG*s#OG`co}qY$UY^@0NpADaLi)%P;nrfi3^0$<7>nEf!=blp&B
z)1hJwL8%WNJ{P6SBev65^d`U;bmU~sek{S=VEHyUY;#N`_xG(HVo-iiSh=^t&f+nJ
z{Naspij##5v%1z^-Kf`Z%%LLuFSgzxAKYpOi*lP3c+ZNmt+X5o%*D>e;Fn8D94BHj
z7pa))N{QuQl$E~SN0J^Te&6U?ZJEDZfut)i7{UxbD*FL2Qr|PP%UZPX#M%)zzgit)
zonjG(I;Gr7>~CA~7nPe`KIV5gZ{un<JMADl{x{OyCO42Np;@3U^n#vDa&hqiHTuTW
zqdpK?hn?%Feq6_JpY#z3DkA2aVAl}^*q}mH`0C(vUwO#kr!;VpD=_Z9z$H~xkKm8O
zK`@uYOxUmeQ{MU&HCHZg_@G?wU||hHE+jM|$yeD>v)lXEF11=Io3xF~!TE_{mM`=*
zrI%Q<=28EsZvy7m7!t0I$Am5~#$})NmY=*GQgEG6^x0eIAVP`)6MBm{yd=wH7cLJQ
zhChYgrd1{C`PN1(@J6^8N{O99D%)lbb%psiJCo81q*F=>hhc$>Cu_bX5BRq916|nu
zE==8UhAUirSC51k!GZY`717I%sbdWERd#jz*xXMY?+RUo-SC;1BDV*Dz=9nHO(JVZ
zipdHHv!ttS#E1-c;?Pr4t8h1r;_$M`MZxm9WE^(~azc}U4zatbr|pd$3Su+;fe3Rg
zKfkz`eh>WYyf}pgaer8vnt9Bl;|?x^X_rrQTD!_*&}T>y%|)Nhbw!jb;u8aWa(5Ot
zeZua)u{R7QoVMS#9)P2&s5b_A>bA3jl%cc7<>s3BZ@UCzbn%HFC-`=_!fR{~fA0-p
ze3Rz6;(%FyHM#6k_+1|CI;n~2kGmT7iiai7>Cw*=fuTThVf;NLL9bDV_N<G|ZPuMG
z%<&c%m&np+VmFwJEXj``Zihu~oIWSSx}M2ya**L}-C9rtLgIRL@l4FMJ`G+~o1?Zy
zkeYnPB4$`ie5IrSha4<0o;bVq85ZbQIc8|b#WgJoc>+&$3^O2r;rfHT&=WU|bb8FT
zVs&Z47o_@2aR?{>p_C0&nSeI1)^EJlkkdOEc@$@NP5aA7;=NlF4zf|senZ1(Qi@vQ
z|2%DDw4Sdp@aS8_R9Fh^dS(iAYx_FTBP65@d;woTOr-3vXKgk}U3p@SlZ}pby~1iF
zvcByM3-Ikfz4uS4^3z?uA>88pG*W#bw{Ei})TwR?bq{ic+yjzHC*y>FwBRjU-|w1|
z4sEQS9twuYD)DFW`nU^a{Z0>%mAb%ju?g^YLT${t4kX`ItkCW16Te>W2Im?ac1}_s
zOxuaBoYPsF03Sw&|64%YZ-Z?vjwMeVgAz~F`#0-c_T{m9xkx`qX=V)+zDI<|Gz`s@
z{nLa!EN5@;J4WA<F>rVyIs*z>Tc!aK1=7T6G>Q{kNlZ4jIPB&{9DrohgZ2LFh^GU-
z9wdCVaPvFzNuRKI1>{R?R{=u*c-1e8OQ|x8GXY*gfs6Zb9bn`HEuEu5(AO0%u+3c&
z3pI~KeMWp9ytoHkyo!rUW<sXHx900XD3Y;}L_F1_D!nyXa$0-<HLQ;xHlDjU8V>=(
ztZy$Yjr5ivm)&Ljy<3`O*x>fY5Ug(hV_JXdqBz-JU_H;*GFqjot?kDR^*%Kab31Z=
z=@`R-sk2=v5OmKRpQygtYejMzmg0}e(l}1;fYRS5kp9gl@%z5*&ev+=x9c)pUBmqk
z-joE730Twd&559d)3SG|o4B3Z=vnT9B>s~SC%1P&$<#KR6x|i-z}tX9UYqk(YDIk8
zz##Ar?MH;c%gdNW=d29TToaaYnS#kuOFyp{&`zINMPj?^_YUt5pTidYD}6WKJJ7>i
zNlL5ed0-jpo60L1c5~m&nqn{zO=F9e1=vL%t;*Lg`N*{tR7P*d)N8as3Jcpg$@L!$
zCvX<%6=6=)I8F9*m5wd?U6Jb8N3^W+;TFX+ip}NDFB9z?@#N9lwIv!@f}|Y|;=0Ow
z<n>o)O#qOyW3FzlV=5{mnI6-Z8RqOruRNbf$xNgqQ&VsvNce&YaGMI6v#siiwkJKT
zo7%7b*dx^JgaoAY<8u^WdT3D6T$w(U)@Hw~ZeY#HYl_9&BIa-tib<v7s!f3UBg5Mi
zqwb>}{AHhtAemrpV<!;RegQef6DuE<^>x+<xi?GX_pUpLHzK~@?TL2H%qQiik+8?m
zfk()ANN^wuhC0-HC(f^(JTvVC#GT&krSgzx3X2*Sww`1B3S0%PnF$lYeG(gCg-vH+
zG_VmGRmV|iFb}@{r#A6nC!;4?@M$RC;k(u!MPNBZvh{jp1SlTu!PtA707X&5jAqJ7
z2`B3w-ep#&s;%V;0}``}sZ*dk<*+PII}5QO3U`73ic}Z>s{D({+R|40Q?QXobdVN5
zf?5wHtow9EKXMH@{9+y2(Hnh9RcBmUv+tJ+$O~%~khq1?-2J*h4qfK|r>&WjgdAAg
zkn-FOJfflc^G()PxyvzZXFy1r<sx@}^y(N_T5TIcXbI6pKU(enI_qH*_v5g$^{Q8s
zP)Vu(y8jn%55pXKI_C#YaB^yJyZw+`Yk6lY)ID(PZhzm~lkw|qN8tKvZlI2D!x#2A
zPz@1k=1vF>N&5NC0{>At|IG?LWLNc<#4^O@`!v}?$+V-dHd^ONH<t&@#Po@)KQsYw
zCG%v>_m;b;d$YveY^>*k|M9BiSFU#v-042fEn|UtCQv${>6sqx7&R|xim&*gH<AoL
z$B8+Z-L#66vF=}1+eLYK6SlI792ZXz#JZ+L%rp~$6Pal~-Q+tYqDh}=a4*v4h(nin
zZ>h7uur1h`F&eckph=PZUUdFUtkK2taK~Ctcrt+p`~xi{GXXCU3p(6Xt$G);ppHt1
zcc+ZB|B!iO(H!n6PJX8?NoWWRllmTSOK|L{Pu%fkx&f;OtiR6jbRY}JX>Mz<w$;|$
z%UvPNfBBTLomDFgd|k2MO%xV%DFhl-TpGSmQ^zKCO+&$fDG!!DU`YbAtN$QS8>@xl
zWx~{y`0h|TJg>I4zToyA;2LDJWHOnYf>Yff`JdQjBuU}BO;rbJZ41L_#+mWBULfjV
z24|o*9<#%M)tdk%(_YatS&ZdBUq6pNexdN<s0d6opEsaJP#>>r$%O>*E+d6L82c)2
z_(o|o87E57FEq^qzxBV};bC~RwHS7@3vqpjZayNHo0+B38%a5e4W(E-jkC2PuvB_Y
z!Y=F2y~Dc=z3d~>a#C&Ci^e}x7$+2%E31lu(dPbvF+Flw*f`@kxk+BI4m_RGl}l_F
z66o7PqvNv158K5KGqksA?dl$i-K>GYi3}1IcKl(Nj2%(Jp0#W#2%d9E1vRj$WUN0A
zT-t4m3Uij%h9uVs8Z#y5>Q-|WqbuwPlrtNmc-9K=FFP^w!FfbPXH0>6CY^y%)kwkP
zP)K;s^`dCzVi)+yTkLhOy32`^&YPdVyS0cPi{?>hmpCnI77VsVEqC&4MPi(8IUdhz
z^jvKGAQUl%3=`gtG(dLQ&=|1IpOC&6^r5z(2OGOCQN?0ck7a((S`*JU?l^2s5D&B?
zEL|{Md26HY66Iin*-#r1#=-qNd|g6{6?P>pnO22>Xxc~L?(He|Ji$4Fj&X9rc=+6=
z!%7n;u5zm|R7g1Y2ALs8uP&^1mkVt)wX4Fo1`c+UI3lgLbM>gHX&4~Y)YM0>ngESB
zxxWr8da{Sxj@gMDGF)|Mi{b(?T(R0o?EmA#TI|brub0IZbu6aaeGTv&n@BKL<ZHIK
zli+b^Z8F(kmi^#l39pra@Bhx#fADgr&q*J7&?N*-#82gka8G$*rP_L7jHQH@X%jn=
zTU&>m*qYhHEB@<{HD6!ftlelQcZt7_%S<7t^Sfs9jYi9VXvtm)38>3DVQ4Q?1kGEU
z+YAOeQ0ej<H1m!QnxPh_szG;DF7Sd}3Lai$0-&A_e=oWeihow9tHh^{J4ZatFK(K(
z#8;BCb8|Amgj{T=g#@mN)*zt#8>hWQ@jpK9eImDA>-w;+uL#P*oY>YvUWGeQtGM{<
z8Jc#X*wu1jqW8i2LVd2%VRD8S>v*&UN%!B{#_JuJ#s)z<*#x+%ed%QaG_CSYfa4j9
z`e6?omG0S&nGITM>zO`3Q>%PD5S-2VWK*y=$SRx_&2;@y8#GT4`!_3-T}HC(+~Pkm
z0Y*qYbl5R+<)Fb*+Cr}!wo)XA{VG_p>)Fu&P2dJ>@IFf(K8t;S=+bQ_du0?7JscmB
zSx{stD^Z>W28Uj2dX9R6TB@1!Vx9Q$)oB(r6taiiHuAhC^J;e9^d0_oUKd!%XjD&(
zDiBKi;NB)fqIm^Hpc_SAt2Jf*Da>72)2w><;^D6lVKeZVUD0JEkOr(vz+&I-cbN`%
zI41b^w};Z73CkJBm|Fn{(xL7p<75~5W_>|mrC$-QUQ-aUL0vbPKcSotC+{a?yQ0ah
zovG|zxn&o<kWG?kI=OrAO>?>EZ~tYR_Vtp`csc-t+Ih0DEa7?(U=<gWC#m^_jd{{Z
zF3*q&Gpc~^jIis#=UJ{~^l9PZMowps2_R=<?=$SSIL`hUxjgc3?bO}~6h!8OwXS}j
zY*8#$H#wXs2)2BvW8bCSh0Rg%`rn%XyMopB=?t){A$oAhrOtsMieo-VB^eUf{d`+m
z5|Cki#v0s^``{0e-O47?%B5U9^`0#_LNo1>s!80V)AL05XGM~Ct4{}YA82`gAjco2
zvo=rrT<W}?jy=TIjSrgulnR?<McK(?e#ix+&TzSd?e<ofxy0wM^5voE`Eb9)SL}M$
z#Fs4chB#ImsKus_bz^%Zgmb5U(fIlJ<xWf?$2t@eJeDXR%2L9U0*og;Wph*%lg*~0
zRBh5X^s35<lHG|tbV;V)p*Y#ikns6fvd}mZw>RIXyl1S?Th6B+z3z{3?V-yGm)&zS
z@*a}QjVaX@VoRm`^+a^qUnk8xXgwvh5bk{PaAQ`?1G}C<AtP)<RrsLo`J6sUybdv(
z5*A=#7=dd@TcZ6q5pkja!we6S-vYiVxIZyro)v}vzR~5!%tAft`tBmyxkq@e-}~?$
ziEy>98e%1W^V*}W*SrG!WKm8-lj>+$(}}Azj0dFab|X6!sUdw+(Qp&lqv$bIJ#qAR
zSU6#m_`_TIN?wy6{0pLodnN-~erUy`4*E82kqA#_O@gn(SxwnH)1Q?Uq};Bx-1*ns
zr)6tq`2P8nX!||fNlbE(Sa#__47mxQGW-qyMmXc+k~U!8JGwbE#&NM|+OvIQD#J$C
z-pJ@Zo0Ao7F!J81#q$IHy7<6`Q8PEQ$H3b#J%brZajd_1j!x&<wlj>A$Bqh1C~?hm
z^wjk?Qs~`fDD1ar(1+_Ikl;%UGPPux;IhX>Y&MfBfOc2&Z1*K}YhHvo|6JaXx@XKc
z!Qn|H12S<<ml|>AXW8(l3Hzz1J#3uH7}J{oKobCA8QQ>qs+|1J*DnA*74kwFCGG?V
zgHYU5dR0}VM5S`a^TfuNU@ENr>%T<|6=H&9Z)P{7fd$gZsCCsK;!^l|es|HiUOP8M
z!n{Pw(>Tu8<>QWN{7xb~J||pvcr?1!2>}T)-;AcQEgx$1oTFqd7D<Z?Z1U@qCw2#W
zy9(&}lHi}uPs`=t#aASZGI;c-f9`F(7rCKzYtf>ebXo2B=%6!3hkzOMNhp1cK0A0d
z0%m16SI}t!5I@I$o|8YLd~599GJaDx73$;^3U)X<8a~TSTv_i&(Z=I=qvpNw?ZPIh
zQ+D)J)cwf2Pl`u*o-d;4B9{Z^7nX#!0}Cx<(^+fF!Z_Fk)F+`Qp*y>K)96)f0>A_a
zRCIseutIeBYtiA_9WomFF4}#|*8B*AQSCSeJ_i<ahkbfC<BT@!w-H|JjLn3KuNdG&
z3T1xVeBQZu3;4m#Dri(JnBa_t=L&Iy=_Wur+ZXj<MPmZ^9W3dX-gODgv1{z_u3J;d
zZ`IaAZ_kZ}EZ6FkywMo=6PW?wM$hrpwvEyZu{JFKn{!AH8Ljof6RO+GIbZ$dzTr5J
zWCslDgo=Y{r(zqFbzL)w$QpXg5#=ifh(ob*@i&*(M1co1S-Ys%)H$AXiBt%#W5n@n
z0~qUl2xROaXOjH&CV!?;k8EGCK|9;~jD9;X+NK9mR~DJ{d4%&Z9RquIG~Pv*s5@6c
zm!I{zp3AC<M@LltTr8DX4?a3<J|B92>ntuG{r$Q}R$PK(XGQ7&oK$N#9a!j2+N84K
ze>DMI2HyU!D}evS$;9?TRA#aiVReYe8+VXeCsiS(QL=~FtX~f^*@@e=?_FZ=PBJMo
za_m!WYVVyIf+)kMaL?(#f_lu;zvRZn!&P$e?sOYv?S0f`{|mLmo!vKY1qAkNJ!Zpu
z`sAEE;M$$?^dMVbc$RHsv%N3Vit+VXyF-zCVE5G?)cr$6#GI|w0lLlnDr$6*z#{Ss
z=}%}D^b}b`#&I!LNCI)$PCSYci3}=)&Ae{X=RGTemn0<2>VlF>1y7S8eALI&^qaV5
zx-5cR?xH|&{px-U&(bpfvM*4Zc#d@cn&I~f-(Ll;6-AUkY`K(3o7fFJP)~h;`ry{m
z{1S6gK~LS7PTiP<G2#yvT&6nGwaiX8an6xH$}-Gd?FfAViJ?$%QCu$Cx6twUS>R<z
z)DAJAlbz1`#Xz8$=FjzV;EM^|peU{@Z+fH<J~5Who~38SY&7Dy@VLsRi$UWgvEmY=
z@H!PIKJrWv@hm@)o;=rBG#L0KG}O1dFPbG6aC?vCDROYp`TFQ05f{o)T>~3V^hJCo
z(R>;fCDxrNn65xYQi8rrlp3EXx<8g!VwaWc-ry?%2Hc%)n|A?Gj;gXSSAmqfTLkJn
z(TB_{JUPz|=m~Hu>c%V$e@viPLL@2g#Op*{{Nz!}Cbf_=zA)r|x9c`Hn-`aT7HAy2
zQV*FaYZ@l(TAXsog4OcvAw2pwLiAI*o2&VD*yNFuJ@Mzl_}h#p*Qs`~)X*W@7lnyE
zuE(^aWq7z6X&kKU;i94%8`Ex-m;iXUqdLPi88Zg#mwSH`HJ*|pE(mwLv&<U7z9M2j
z?wX0ol|(b9A<AOOnOczRTN5CSU#!GI3cvmdo)JH)zy@&_WzrV;N~{|QgF4&b?a^7~
zdpQX{6TtPyY3$Fq;~6`?vD8D;(vvpAO}htg2=Y9-xtW!L1u3#~*I?SWG`ha5-H1SF
z0n)KWo18e4z*4E5T|6tF`i3X3%#)wcg>H6sPmd(dVM3Hi$qrZUTGUeT2JDr(M}qX#
zb;nLGhy|v$+Y9pn>emO|#cgaQkQ1s!!7m)EAzbcsb>FYNm6)3=Yp|>{+E>Z5z+kwF
z&II1Cm6-b==)iV26CgCFAm&;HU7hIA5GLArC?lgVTUl)xQ!`jc79x8JF;g8bKehpj
z5(oEgZ%ixrm~9i_OW+St4N`-n3DDJy<wqS4*2Y#na_ig*eCFk3wyUFrg{&Ymctmk5
z*ViK`f{Lm7M9}6)gXhyLaj=JbMz(VYROAv~*w%=%YUiuB4?Y%G`38p=#8=@pa8~cT
z;QU;<#4fhv3Svw+JY<120sQ$O$%*BzvbMsAg>%>3N*53(&CLbTuxz`70l66U;Ktm_
zyp#sBtL;8`8(-P}D#6i0jdo$B*%-RJ-r|hBSd<NO=zbSFk-QB(0cP?`xWMqM)3Tym
zshI!y*{(dpmsAtLjl<b{6b5cd$9T{>SoAc>54up7Coz*>Wl0CY(W}Gt9Opf-UUDj+
zoi4^i?l2@ip3N%1L0WQHhf-k}Ue(b|0E_Qn-efxF0nF~82AQf1i`-08iO*y=d8pXY
zKfX%rEc#0eeNcEN^AepGhR^@7su<0y8;q{Yh-N@?>$ps9z6oHyUi3%Nhi-OdyY<h`
znz;oT4_2&szhCx<$G5)8Zn;et#7hz&pyP5(@w<Hip33rkY{;$KW?T2UUdBaXb;lCk
z+;($q00lx>IHsUkr6O5xg-dyoQ{nn3gh}k+L&D*>txc;EM6Nb)9(r;ruQgZeRzZg>
ziUptH2f4%XAcn{Uxc2#^$bZCmZD0PT`+T8x_NPj*udnq+c>w$tM~Hlivo`_Syc+zH
zAO%weV3`touqbvgPuGqcu4X5YwuZd$0{(?%egQ6~vbKpA>yf__K{wM3;iDtQ5yOtk
z|Im=Rah&B6PVtx)92Er|?v1Ao61{v4ZN8y}i88fLtvU0l_UoU(wkzwRxF-Zb%}$Hr
zfJHE=RxN(VORx2#E)e~wPl`%H!|2QV;wOR(3w><V+;ZFOy^j13d*hgQXj9TfsYEH^
z_rPooR1G!zzAd<vakRm@>VE#joo?^Z{(I-*m;tUwcPK+`P$`>Y0@OJrUijO8;)DL*
za{5btjh^F|aTTGp>MmAI?c~_ITeA`%&|{>8_tgZCs!!khZP63;2fGl3WrLBA0#(v@
zy6&J~3E!#dY{$W7Z~}1<N#+~jh!w+Nbu@5pDDd=mX67D@2m2}eJ*Wv!{z;XUh#?m+
zI`5y>vwo+Okga_XSi2v?CIj=psi%CWZcYYQw`*?E&9@WD+I~kcs-oYje>4NEEUPc{
z(PUj3TTD1BhK469+Ggxv30O_7qun%3clw(J4Znc$Dq@JSrn$OUxhS@)B2GMB$`i)R
z^-vQ4)V>S$;I+k~p1ySCVK&`?YkL1Y*D+8P<6v(L$pi>Ty*H>%n>7*=7(I8?(o)Lv
z94j-d!<v|=4yje^e@+<m2;4a1eM-^&Ot8Ku#020dFX5IVfG1yY6HuLppBpO@Fp#G{
z%)G<o8wp(?;)udBr7kt+!$8!BJ`Lr#W8PqTd7?|2s-Yi>D<)kU8{0n;m{*Khuz4k|
zv)(*DI3_FH<?uB&h=IY#^Or(0Z%)P^m)2;yubKb_51ayqqEdqUaNxPBG6r)d40Z2~
zXVLjB|I*Dj`R81FnSM=lX8O0nDC{9HD_J-!v5>Y8qAUD6J}bEr{nyDJI09lN&ISeb
zEjTyYr}3Q0lGqbFzx^j+?f+mcO@@<-aZjE0^_2I^V0LS;gS)@_O<V&%`Al!>BG95I
zrI>_t@ZU{Zr3yYx#Jo(B8C_8E7fb*wBacp;ue)YDGhXdhLUqHytfhmLW^!soa&$lO
zJjmc54BQ=_{M{KJsIo+|Tl$-!u}n66#eZ-tG-SwDSzV3fg&JGlLBf4emT5Ie!v^*2
z)X5XNNKrjFz@{u*-+%XZTUxFOa9he=ARAy&|6Q8+yIdc5>Gb1V*T0g`^Qu}7Kl9B`
zOSQ%Vr_Qu&hMQE{gK<ahEtm<_>Y^C=w%$VWQgIlIdYS1n)b=rX{BXp9HD$shJBw~(
zIRvf5K9o&<m!g(<=tgvfT0?WydjDbH^`vDfA02q*v|gEAv{J*@%S9qX6&B?}pNsJI
zG=^K6(L1QE)KcyoXOTm<c?!eV+eUUVgs_v*5SRkW<_T7p{u|~rUfaUo@c-ldrsn{@
z?SgB%HiIU)C49H+w$=u<S*09QuDp@-;H-EHi<7-QMIix!N2+a5i65q2Uxu#vNIui{
zGGoJviau0MF!dYLjul7DU&UKT6jqCmPLIkW#Xi=<Bye7txBL0=m>w|OT@+b5)4u0M
z?7$~qqMn3T-;T*C6WzP^UgdvjIs7`l?rqbfEf?<%ZPtS~nLK&g=1+_IWF4gcYFKK8
z32@Q<i-}##MRYCoGX*FzyNvcUrGqYyBC8+P87MPuRr=fKSv_1w^QK`t_pbaRr?h{N
zo(eOs9D4ooM?&r7OGXhgvBhUGys>RT;ALp46TG-o)LH6q9NKjLJeUdrJAc9)y4(?s
z{BzOOjlRKXN|cZqE_H8D8I~N3P4D8nvQBS0L%W?bl4ux(me?lMz@p>dLT<*a+poTO
zG5P6_ZDGFg8{Bs$z(Yk4)0jS63VPNz1h<Vd@0ds;A0clC-XVR=5@ZNBCLZ_lUiAr6
z)CP!bcuuiTy~(X2%T|%AJ2B}LB$aKy_vy97b^5pcZipJZD*=Aq?mZ%nA>^xR<Xv~t
zi|as*ZA>4o!saQGMK6pO%f92ya_i<v!4$WN9N?AY3AdD{`b`y4fq$G#MGSzeR~LqT
z!Sb8ke%UqpM?r?$b#zqpYw(j$RupSsopt4NYpc!%PuOy7$`6Xr6Rd;*O4JAsJ#7|G
zMBUkm@}FA7GMy2?-A>e$0o^ZZa^QDRTm`*1TXOfzUtp$BY+wva%!Oh~iG%{{8@j;q
zcBf4V$g$|x=WCh>@;~?Qao0*%XY}#=)m=945$oJNz3X>QuIgdU^8>y^wrL(>`SDE2
zYkGSm9?7a%CZ@P5axs?0?bPNU*UHhryfAoNG9j6{JW9Nutho|nMX^UFt~+U49ZuQX
z3m-)O;y?3N|EhudcW1ZXt{^pzNQ6eI>(~xIi%^jy=Dbb)@DG=7zgEX$>`)KZ<sopj
zj(wum558Z?aOml9oGXtkGa%o-qa2^r==q*kvsrg0cq?T?R#p{^Ar%(r557D^Wf|k`
z1W6yvpo)I?<Y!5Zk2RDFyDDG`^-?w=KTrH_rvXXcmk9oNagi=C#>K@8mTf9#O@LsT
zW?Jj}5R*l%CI_qG1qjerHyLQxT;nm?(Gt{=($6h>8)W;W?THC+J+5YKj4vz{aW?F=
zLsb7xczE&#X_)L-qHLLlxCI3-PL8h*E@%QucR$K2FG|k>S?hH^tJmgl&;{%SsB87(
zNt9#Yh6F}M-S4(&*sKMP|D5>v(?}TM^;Q6dRTq+c=y}eAv*5o<v8%ecyrGCu;f};o
z%(u(qDWc5yUX)9Uh(m*n0%OgaC5g>2<ihG4dsL;7#2_<VcX{;5$?&}?h}t?LeK;!e
z4`iNuTI42hWhmpnC<>&50~b#s+D}qaYHGz7DC(g&i#?a?=x+i<8BT9%saspY%mbbN
zH)5{2@ng}zuh^3|MyR0P9+zYSL{wu64er_iMD&m0sCSnHcHf}Nirm@;0zYh{oZRwH
za0Eq=*DKX6x84p{O+I$CS?@uRM?EHxygH?Zpl4)howiyNhYInn@NnO;c&71_${{+E
zn~QgHizLIILE<rM_q!|_y)c(g$0c(d3=c%VMm|&Uf(1l)w5veqm`E?cU_Y#;|2QoQ
zDr%e8@+EP+yv^7CDJ?Y7d;nHZHw7Zrf4z~hPEC<qm_UG;kBMXfv1babw>@;ru_fd9
z_!pC}P-v=lV{ZlYww}k^fje#Zz}A92Z^>zl!;Nm5sqlm9DS4<=k7UIk*Uj;skU(IF
zIqYR27&*&(IcSIg$CDXfCuz;1*-U8^L9N1e5{ig_>3%fM9h`xLBsWs>8kT`#yJ+CX
z;-5?a;WpU#GSGKRj{yBCd!a2riN@EIg5+IbbbYwPZm|ilvd^W9&eu%VwE~S)1&7s?
zRdp?{T@hiOe`}YFW)x1*Uc44@eJ#&nzfe!RZmi?0sGu@Xe@ZR3lbHCn2o+Qm+QR4;
ze#CVkmu)E|pxc<mp?IkeI~>2GR$qyCX)^jZPu}=o{2Grvm(|3r4OU>kU*a=dTKv9B
z#KXKtS+OoXRi~-2=EHuoX;phGp;tSMYNw=_0OJ)Mz+L(;O@I{0dy%hvb$evF{o(Ee
zwJWZfzPq{Gj)PSBY9iwD%e$^A>(t5J3dagQeR7=AnXb@CHT!+VpE0W9gZ%&4{c(+)
z<P_i%5Q#_Cww;jOAO)d1Eis$i6F-EXm-rMm{ey>Nc~4jH+MgJEBTp`X4AFcOK<%YB
z656O-ZPr%XC#oivu{a`mh`ytKD+5R1b+D^p2AK1#&-edL+Zaj#`JAVUA`a+(P=xJK
zj{YOYLN&QF2I<Ts&JMQ-!&mh#<k^@ipSW51g|0c68*EW5mAh&80|Go)*v!`s0i3<t
zxn%+@9@u+u&jGm!5T=PY?Row_FFOro5v#?%+PkfNvF1F^y!`3jAo0d#jAWtlY(*gM
zXVp!N%vd7l*$Jf0t|kCcXUNWuR~PR2+ZzQE-NDF%=bI8|K?al-4Wx!=w}JkzUvCW)
z3*mb!(qTgQrr5Zd+~(7CK7T5&G?zA(gfFK)5J@<j1cduvd(Uq8I{_6983yg(-t%@c
zVfw-TJsRvEVFLW%rrp}*m;lb(s4d0~6JY1ivtRGW8pvMjMKAvU__v;DR3ycjP4^-d
zq;ZbnR5Wa>PxHRG0rdP`k1i8n_{2~9;?kvAXa|mFvQ`8NRuP4v=H1%%mfTO@U77J4
zvOBc!2=`bTH0LUoa$;<u!CDHAdpDttS}8199HJqP2SzIBu66n4V%z6y1MQW<nLm3U
zwyMQ{mJ=VU_>Ff>$vfdY$YL@2APmE$Me|o!q*#<={urot`<mg$bEvJ;A4pt%Zi5Ft
zG66QyyROW-mS?qx1BE6)R}3&NErFjQwdS3CHSR|(?k;kHm$wxm!YTqj$@Fr`r(eKN
zrwl%baB7=xg}~z~ivDiXOv@Nbk2RDZvWX4Wx6Mm3y>oW>w4zmNdJWaACzaKUAhr2u
zg7pP6L5#)6N<vA9<E?86eeC~5tv?=eUaN6aO~zQCuq1ov$wJa_lK|>(#M8DohYR)~
zx-2A7Q>2s8ZKhKZZ?nvaXrMFR{mVfho&gm{ve<Y!J1YW4<|4kkd1QF)td$7>6wek8
z>f%x1@XR4+uFsgVaoBnG)t2(17VjmEIP!;*M=C90|7@yo`<uB9ui-0618}xR7Kl3M
zn%_-BAmtTc2lV)Ul>7-j{>futUJ1Ydw?<AYz9*GF3tz`mKyrH1uy+qb!#o4jv|<Z4
zEp*$)wSRM@_T(y%`NMnDN^R>l0n#Hv9qm%XbDd&Wa&&>rK@IX$J72Tvg{5a4Q)SSR
zI&0^AiXL@88M8|Ikh<IXAUR=H?@ryi%E^{IU}+-1vZww<dh&QtF}pkjkJdKa_Zvb^
zMI#r=z?Gxk4kiGuU{Rt#w9x?XRcq^KV6SKS+KcV7X`gl+2{tBOhH#<d(piu*q;~SC
zxbP-_*D1eM=sp>&$=De6ARScBDwRY+POfL3TUdNV*x}g5#<E@u`n}(L0Jcvf*Xpj<
zh*Ajj0<nG>*d9G-6Y?sP`+a6jW+K%aoY8o?qsiW7e7CAQN|^=E0`@O$C?Qb8!(#I6
zG08ob-rm%%MDM(Y)2gST*D!bJi{a%XJJzuGM($*9-~RwP_0wE;rRyymOfm<#!>CB`
zLu9^TPo&l6CMA+$`ZL+H0kJjY2<^p?t7+T2)yJDBGoobii4|`ThssMYdIUc*!{)UX
zd`!$OgwzlrW>Ku^Qm|)QHWfYmL5jfm)o*LjWRWs&j}^q`VsB?@>RSqiJD7`;Hf9rP
zIZ0S65BgML4y(VDuAqia+Y^TmIfpCS*LSYZibbK@j*zgUVe!A>C9k$QLE0#R!kOmf
zCg;WF*IJBS>bq<n@cv4&OQ}P;JSH+r&CG4wV1l>eFHE1FnQvzU3kSdT+HRYEP(8<9
z7IM3O>M~Akp&d#7?|`<h_(8N2x}oW7k?rvuk9Oj7j{Ui)j4<cO;hg>-GlrVR$$^E7
zKS;Ghtzxgf!?;n)k+CdK+*8L2w4jG$$@ule)HJLj&^hLqxLSNnR1qJiO!3S>Q%!*C
zhIjX&CcumbB=;E41gPCOKVkTd>-Vn>pTF(oID}>@MBD>*Dd?uH*b+$2Z-zh7hX%NP
zpYW(OL3))%Xg~Ye=v5Zv>P&pM+yLCl3z36SFY?-9t=f{_=vzW#+lbB)xk#WT?o>^~
zMqy0*&k29kd!*IAV5)}y59Z!9EX_1s7qz-q4c(RDa+zq1(<-fKSw@X9&I8?*!6XiJ
zwBv+IMdFA`oCl^_Nmoo9pyE8!iBZcaQU(Dhq%1|^TyX#eg(xaPL_`Gv0gqX0oonxP
z_FDVwb$a){&hv{O-;bB?d%own@ArG&`=(pR-;POHfNhJzJM`|0lrH{<@8ABfpG5dn
zUt+@84UGdmdpo=4v=KLOayh~yC$2vWw;b0b+yi5@02u8U6S-|j8kavJ)^NfjZbad@
z)e`^h8s5^oy=a`BM!GUHiM{O^*TouWdO<Tasrimn)f@Z!8-5je79ENz%06^%JH-1d
zNn*S#->`AcX*6DPwn-U2Qfcv+gk5dv6G#QVs6;J_Bg@XGsDO>`>8~yYTP71{)Efcz
zp26m{i1&L7&1pOe`l4%=g<zwSlK;Kzr;cY{{ejfLYClG}vh4ykH0Pu>-o5erO)jSE
z;OY2uhIZ@yWPcw@1jiJs-5iuz*erx~)U4pjlkMIeP0UQ)k<MQpP<@8d!t4R(oO(_|
z#o0$XCrMs!*i8e=ZHT*FjOheTQt5}`u@62#R<ghzY(Sn~LoKLW7+?UopiS<?`sz0<
z3&d<r%^f_+Yrr!){YXbOEgOSCAy4I?I{$?r^pe5765vb46%S5R-Z(xl3UY||GiF8w
zJ#C2>n?_{Y8wHh8lv_-cW&^US_gv(n%iB3#m`^6^JR=taE#L^Zzme)H9e7X1ao=2?
zp4}@wn+g_b1w!j{e)o_NWvt?CU34Buv&9_o_5N#Swn020FfVd0M;O`;f;MGeaVH!j
zc;A@fB!iiyA&jkQ5Jo|$>Czf^u0Z7pc|$@uGk%UO07R!uD8RrUyAE>vy76k_{k2Q?
z=3n}V5*BJ0B8WQfYcZ^#yhuoG$W9n4^eN%@csg{BNQ7zU_t+NR80N`-N1j->6l{4L
zp~VG}{%+!q|Hs1A=zK3HN1)FfI9V5T!00SAO-k3I3~dq*j&!`=fZuPQ(9>T%$Tc;G
zY;=>dtn6@TSywich!2-5q;%{Fbj>fn>06)cy(5GCx*@%GEjOB^z;h7U)nrd1v899;
zuSydIqKAN$;=EE{W4fC$sLpEx5uIxbj~;}g28<Ro%b#CIPsiG7U$%eE2$9+4-`qd2
znA&wZNZnl78Eg$BP~U6|G|U#WheVM7t~ie5pt(Z(-fM!@LMqTaLtJ1o-(Xvu;Vh4I
zma)J<NYEt;7|9U&l#KF4OQnhEQOi%UPnoNo8w@DZxu^J5U<Kizo79HA$REeo+CT>L
z^#?AxD;$DOokU~|<)8YRWqL6*HMon8J!`}6YIYAMH9<|CUglh$didUu?^@K~;^FpF
zCi+eiuVzE85ErqXXQxTBcdHMA!ev8>6#J8H_;Z(oy!&I-*E_T6iPvGeP18b#+&c*T
zjA5qxsFGQf8{Mfwd0>l>;t%TO6;Vezhrww@o{M3JpA{uO18pc<ZZ=c%#(uG(k>#W~
zjrA{S=SdQW<YHHXZCkhxch5ajoeWiJ_in#_HnZM6b(QZ62S-cwoauh$Mf*<<r~LG#
zlUT7jXR|m&Lb>@ui7_e^C^Q(GnqQe~-I^N3`ut)`y%hy*#6;N_+FEVWaVJ}A&mMwI
zMDc|ebnbDdgH?CEWc+6$7|@yv!#gS(UJ3p4rgQ6atDkOkx1T%GS;Z&D&JW(gEk_T+
zx4`!Jx2DZIq0VVgX(Vtc={oIn!~X6l0e&4h7G$+e>0TZSh8iY-62;L9{3?+{oi9xv
zz@<o+FsQbDKI~JV?31vL0N?!aFoIv^7052Bbu=M*r`Ug~A-EvTeZbIDQlf;%E{sz^
zs8Spau`xlna2;pDfwu<7HK#-kSd~hzHLm8EU^8yXntjEPCUZc~s#5LLA%6*J$=ehq
z(Pas+&tu2YtsI7`b9j}*7?!n|yvZ<dEa9Hp+3N%^8f6vcu$Qv`bPv18akWX2N@51^
z$$NbLzqH&^{d3ctQEs<s2oT^et0<1mJyo-Y*KL4?N|FccV{Iag31%hcX^;h`if@1*
z(<7YemA11#@N={wL6%tS#@08&Sj=LkOJ-*>^u9JKG=0|6txDqU=!7#p()s+DPTgVJ
z%RDBP?Fr5?Xt~u$Kzpvk2a)*KL3S6*@zOO$BFFT0xCe8e8v8bJ0(rNF4QC{5@837{
zy2N>R84R68HSvT{KhA~jlcJc7UQp~F7aoA&M${T3Ur(2<EzVCuXWz?H1Fg@Xe12S#
z_;D6x7ER7M_`GnNlvW`PUMs8(hB+O`6K<pCR#UT-9bWAohA<NXyCLI6kTs#fK^S>^
zM$t@RxMn{7+1wQcf4pgOTk-(WTxrvq^44uX%Rzv*1q_ySb#YGJ)Lsm0^DEbWJ*>X)
z_7DGs`jfhysxtl{pO%qvu;X_i&(8cw99=DD$FZk<XK9D^-#MD_d^BF1@#H$=PrQxN
z;8R{x4eaA)e6MR7rD$cu4Yq+BX2UsAbJ!;ZK1FVTHts9F$F!fSasK?gcwdz1Of#FW
z^0wfcq@}E~*h5%xDA`k+(ZXOdueS@D$jU`)!yu^VW$>_SdiXk$>+vFQ=wova?Wfs4
z2&Y0kbF;hFirLB19C5q?-^nInStk_JwW?_@Kl<&Qwq8a%d5%Ajj5jesz2sjSM)>i5
zSWV|b%qrJL6}e4EIt=g&3iDxS(G7!OK*d(zgX&*YK>6|_%W#v?f*?`xsP<La-hq@%
zvqALR<*gmUgRtfFCg}Y_AK3X^`jO6~F>*U$!8ubd4e{<6F{yKrtW<*SJQoNmq?-eK
z{)2wb$vR`)Z+}U@Taa!HFc@RnI2G)AqMEm^$E`*K^z!YC5Jx(vV?Kwx?RZG`-Ab)P
zNdmUn(Yzwz6r^<3F%W*BO8u5y@6J%b6E$Xo3&c=~=)-t-^dz38-+USN-Yi^7JYEO4
zb?<FKrxZW$2{W8~o2#)#E|tx2US=P1iO{S=r5tsG*RH+`^)U9iCQJGHNM~)z_nC0}
z>V;?k9}vI7=8F;}-p+K`X>8kBv{M<=xo_fHwoRR1_P8zk*HKzK*B85|Em6Uk>T7|s
z5w)IK4V1uC#S5YXbe*#*x14X`FfKUlLMVzO9jmg(`EA@f$(r2a)s+lqs6#}JdeXVu
zubbe=PAHX=Pu{-XC=<i49qC*yE!(FI{;L>4_)Y%I+7-8dQ<$UvtHNAXCqm5<4VK7M
zjT;u@TU&n@6NLXm@lnCMBc1opShFNR|NH3xN-{P`;;xp2F`pS`**LI!GJEqXb{Jk8
z0K*Df-x$_(NvGRp$elFzyngiU3?@)*FFJ9+&uI%xUZ=;?J$nM+04y9b#Mq<@^lyrD
z7D#E)9l)XW7t6CI9*q5#k4JWlqg*=(CJ(z`$e$F|8sZ(1^%JuuYN9x9z)u;sPX=B0
zeu59aNHOe_qb)jaA!a|L!B^eEUQVGp*L6AlK%+NmNxW!_>yfiI;Cj%?+3@O@@@vgt
z0*vhDcOBZ{MP_w_W6hcqr2iT;c``ToHUlNS%}PIvgqi`)9VG1I3O8+m3b0}8DCDWc
zt-Brvxe^Qrn_06BpQMF$c!?&|*ASYmKOhf2JAu4K_ZJmHEu$R0XsfvqhFw;)-Hylt
z7WhlH$0V|ywR@zKm{r+vo4HSdfqe4V6@`Is0SWlVRfq;#S0&wGB;}^g+IcXbkkN2%
z1$I4=Ge$n<=>Y7;Bbt9|Iq7vm2;}K>g2c@gUsrRtTEg38wNzBxJkk;MQY6xkV7!!f
zo7|`GRO2D~c0m0|q}T)AAL7K|?esJBh<btul?RDXZ*G5<`V)8>Y}*D}qeExU3a`(L
zPW|=0ZILIS6~M_!>aiiv^S*C+__nD61~Wdt3~a;L8V8FTNszRG@ahe#y&GQj<Y$VM
z#(CUQntMcp_mR$WS~zoVL5iJmx#F=}3sQ2f@+ANQ3fXa^heS-s{1lk1JsoEvO%B;n
z^h`P0eU5bLpl7z#+IE6A>?2fX+JiP^(!<a?%Y|QTV1E5T-!BCjlb1T~+&a?f^Z&YY
zb+Qn0*74hMtoMnz=7_M=s2+zHMu}%@sfjQFFJ)WWf|#?u!6<L<DB^$P72oDu$@P9b
zUJ9R0ew7LIWgkqw$wT7Or%U)YP>y9XrgFSymQ*k=fr1LyO?-Qnc*Jk7;K3%<hG~2{
zEI!~!=XaFt!;m6Sug6)ro1J6aX5nU<dvNtQzM-P|wpw{_bOrwHWTkPgo(W_`nKO3(
zsSprZhrAN3#NJjx;3-R#(~(@PpxJ{}C5$Xg4I=<hoba4B#mW9`T$@*#=tcyuViDD`
zr{^)yo{^7cpZ7$!dfsrWuIE}h>>%$Hp1Fq1?e3#@Z-4VPoawOocGSoX22}!KpC$b<
ztT(y%0UL(7eM3KabNk*Ogpxqj)gQ?gS3k8tIaWU{xc|;g?dF;ir+-|spQtSbe@R-$
zXz=I5oZD2neoPHvQ}CyZO8?B@&zPI020mqs@CnGklqu(&Is8axkm7I%&m+ph;UWPY
zhU@*_<abOj2U&(e*v5FvEv#v^D0F-xH8r$BS{PJ5q&qHMur_In2&HaLa9RE8KfesP
zGDb;P+ZKwM7aKaAv)?a#@<(vcfvaJW>5Kgq+nHs2IH>+t1`6FI;jLZ<{qSqEf3aB>
z*ZZ7vrZ_KmBDVj!ZEX4Q9>NFEX4G$Q)i{<I9u3faPArTwiH)`z`f`;-?e8?J)dw2Q
z(pbQmn9r)}cYAZne*CX~K*RD@b2>uINMosW=nI8i!w}vqi_?;D$ap;B`9TtU>!!{`
zHqvBY1iL`Kw7+d<lQ_%mi!kLLd|rA+8H~=xVis6TJe=uW3*|mjt_~mx#-&1n%X246
zKwd3#DTCD&blMT;`zoU|xbtk219UgXx};kaD%~N|4-q+vET}m%eTIYBDl2LwH5fXP
zka4SO+UfBOmp`wzt5Gw2Wx#LI7i?6sa#Zr<`TL{lyW?R^-kz5=qWhV&s8lV0g1op6
zE3hJw^B}dWJrZ};9>}y<{G0+p_NU&buv9VX`R3PWr_A9wEf0^GJlaVW=9xG8md%nY
zmykX))dPU^Ii%CL&@a2{N#Xs$HVWY;Wrw}kXfohUvwpQWlF7P}ZfZt!Z~1PCx<UPE
zbv>go*0XOinoSvxtnu#ytt#3821hz4@WFUk*uP9bd@%M6Yajk#PCFT=(HtJ>TmY87
zH+{NcKKo|B<s%||Vv-0dm}QW-C=L0iRR%F?&nyHJx~oM;Pv$-q-`oY&0dJ$Gzb9K-
znny=RL;C$t1SZhCcpufTd;l`>pJ8D%gxPxkaiM}8N5%W)%AI$Zu@)oq9j+}f5@G<1
z`!%J9zcD+gYMX?oIwnG8R-X@Np2nqUxt@Kf^BzuEQri6?hXl10`0m5u=H|Pshr~*~
z^Kt$;Pz%dFSxd24pZ-BtXO$2yDYSALOmmC&Zu94VnUX4XR+md_a@aD;_d>zyF%s)2
z8s2Lt%ltUO<i%oMdgV$lcFeP7lku=RBRxwThBGEL31N*i=*&T2>}I+d?av+3OsT7U
zHtY4}99iW{Cjq05xrwQyG4f;vzI*N{J;!~zgn*}D&GIyNpxmw<CF$^D1nfu6$K%)0
zAI)n3C35kZq0-X%`Gtl(zV7+H>_MWkk#Yd0gQb6dx$c_X-5%gDw&nSgV31hQL)wd;
z&i^vIIl|Do(uA*^we$!lAL%5=M*aBLzXurjd&X}(%GdV0qdc-J*2vav&l#H=9QHIy
z)44KuYc%(XdeJ_<J;>Bulbh!6Fhiz_!k$IfUw4)nwWsa}^mCUl%v8&Ay~)$Js)ojP
zpE*s_GluWC#1D98wWsWs;ql-Xm%t0`LG09UNIW^~prX|=fb7GK<km@Rm!<?3n{j`-
zN45)U?F<38>^o-H?nGJ?XeDN?x?UnI<QYYEHEXUmP(EHDlS?X{oqN?!3WkF_bwi&#
zd4hSXYZm`RV{Z0xGEVf9xwUC#-OvAa(pUHJ0~$Hf8Oq4aN@kn)T#kOZ(UP*<T)k@H
z?1tg#VK2n(D`M*eO?fO{!%Lwl<Od<DjUKQ-5mp@bdd#<H7kfj306oa%2x9mQbF}n=
z)Tda4bs=H(K>EbrIq1R9tRQc1o<v30+c5h-!JVC}tSWYYw_G0uXkbW>nc&ByKDR4!
zG1M=6W}HeOV&om?@OvS47sDem?M*PzeKO9fy(8PAY<?V%fltSaDd6-QC<3-6mUno6
z)4S@OidZ~8yvIIAAzcPGxY6>G5(Q7Xf}p<9L_<<msuK7(!WrK@@Ml_s4ZC8(qHL4k
z+nlMY;MCvyRoBta#6Kdvb1u^B@hrPLuP}<{S!wpzyL$Z+YZ-6OoDAJ%&Ej9DtWw0`
zQq<iZ+hT~@5K6wwK2GXR%w^FA9d}0a`rfEtw}7%swVZF@t=r!X3Bm{)(nG*iD}ty6
z7l#l#g7x4QFCaZIZdJRD@w-cH^S(P8F;5caaZH4u*%9|R%mxXS;nuUz1QD_}oDxWS
zYLQ~{*4#on+U9--oiE#qfjWmpMsFYK%xV5-%3w9S+_H=Y`O<D(u-Epp4J{%UQ^KZw
z-su?M9_}a-v388kP}}q;BWj3Aya=!r3neG8BSzYRe1&IqTj-N|j1kmS9Loa$zF+KU
zScdM&o18t-wT++tX-7%enp$@vdz)ucgq7HZ-9vwfzW7p<yj`Q|rom_vS)tX1(YIdm
zX2_`>yrK;>eyZ$vJ*G{mp+`D6%53D_h|H&Ac}IX*nnNIwvzshlKlG11()q^-aGRGE
zi5TTrGfI8CwEV)ey8%BpIuuh2Oq?Xi_l|TL$qw8-{=)_Ni$h)Z{*dh2m4$zAHV)*7
zkN>^EWbA=D#08&h2PuBLenrAfCeZNtP=hk&{2tyhP#W<pOdL@rrFwhX{$sGEVs%<@
z#@ZoczZT9jk!R2Be=wv=<d}#+Gy7fPl}(M*WRTCS6Digf6dY@5r9^5M&r-j}oR=@W
zKlP))-NmZ>wU41;^5j0#*N@3Oa82>GygdU;oJ39-T_L+iY3Bj<uqT_iK=-)*%n+aG
z&Eyl2eS49g*DT7Zz4Yd^I3f3&g#+7)d5khH#D(aq3@pv58NEGO8nqa=)uE?1vv4qR
z_1iP32ANr79_}JEwT?@2GjpS(EPg1I)=@7HPk;=zH17vL$o~}vP#uH%hjR&^{jYi0
z{s-lZ^d<v+YnPiox<CC94XU1$D~eAjJtq8P=f_L`VXY&8S;M-J?8{ILjDK~40BAI=
z=gP-he~DdnPL?mOxTSy#smZ$WSmV6Dd8P`^VT?y{O(XyY+TLw{2p(vj0}Dic!{4wp
zugZ2qqF_K1R8>LHrx#k_Oi}?Is@DKjx2;2!qTevnJLDqF=m#wq=;MioJoG%(bhc&F
z;N!_GY!Tw%=E_@%gQEjTu#)XCNgHzRFiz*Io%_S(ng(BH<mW!Cy>ZV~51;8d9valI
zDGJ%1eb;jK&cn|z;K4+$=U!lG39g^^{VKaV<mPI1j9-5lGnY`Ki7*6wm>TbD(KreL
zcki|PU2l1~<{Hq5GgL@!GCA`k8ZMy#q(+%l5JZK|B(d&9s!75u^)MIcG~+pNj*vr0
zpsZX<@zchuJC9+lJq7u#jbW-|b0({#6z2dpK*+yvKE^*cR)y+NL8<W_cAYEI@K_rT
z+%m;+WY!78YVbYP9@NDlHFF(q7Us$exX`58&6K*eXyWrZW6LdY*G#5c<VoCDHS`zI
zEdi~vJUL8aHWYuPW2b@l`<xxk##}ApAM`Pbw2r<YC>5S1K2+y=dmz1N@~=Sym8xtS
zH_P3z<wdLom6WrL{5(81nLC?&9_o*WS?^MEsahPaxxNBw8~}nYe9)h*Iv~^=tdvf_
zSpFDep0jKR`koXUYd@T6=GDetR<|WWXkS!*Z0qZf2gA;q+r!z~;0EcTcg6ak*?Y+y
zr0-j4!H8$b=Iu21Zjp)TOvkCKzFul524M}(vbl**c7O(740POZW@f%?Umq6N-RO5p
zEn~gVTxE(Q?Sm<5bGRa{-s0ypq@XJ}Hf>la5c4@BHWe0Aws7U7IAkIfMNCAe&PVEv
zXDP*_`x1*r{c2S#xxwWJN%$~oZ;ZGuFa`Y3+{u&wekzEKMxXzAQ~+gC<0Yj}_XVX-
zj~VWFyU0H_<`w{@A=x3e2}y4q#LS-8vu9Vixwb%~fyP$N-9ZzgD)M=c12<NUj*wOj
zR98J|x+HnOiYI_4oymEDP$g<$-};z}d=Q7(6J2OK(U7;-E)yJPzogy*{!Sx#=Z5)h
znY0$cm$!VfYym)DL<x#mY}E$uT$9YSC7J)EnBYhCr{}5H)PRqgs0E}$Wr*de@U)mJ
z!u%Eb<3&W{FJ;t$3%69!X+^S!o%?<<%|FdQz5@&H-U53>8f^xY0nwi)?}IHclrE$Q
zXcWb)(x9rur*WdnmqM;{MlaFVYIwx9qjaOKB7xU+UyKd0MOY%*%)IY7(PlrkvR`VE
zpWZFf*1%OI%o{<bT^T21(RzIo@x$_+`i{!Y+aqDxuUbg-Sam0Vef^4fUCjftLYjHX
z?DQj@;5@?dO^mU!UIp$J@hg7(ALdP5>QrxkE#)mtPl@@5H<D8-Hf<nXa*Rw;S<HZa
zt-k(Z?ihYQyET?ms%~^$Z$DA061_*{$`U9jSn=G_LPxV*Na?#=uTx+5IX4j^!pQOm
zkfLA}s?FcifpyT6?004$Jh7V?y+HR{xXhn^<YZl`9})7w3v><p^?gQOI24ifv@lrK
zH8YRHVoRc<70>nbGN^x>Oxxc-jNym9h?EAF1+5bs;_Cx;W^$*(q>M-4PdsAAOZE=L
zw}X?}v<OX`-sRti{1|zcG+P%n&~mb%4;eC7>oBxGQZx*jM!SsoZ_PJo-6NuGQ1(#U
zBc0S+9p_`n?lHT!_JOyd8L*Gqh9Tq0)N!!ofy3ziS`ff`B6+%xMyruOrMB2b$%YI_
z1pmByba>Q!ExY#Da1UhAxHzwI3d;Mq$5@}QvME|1%nxVK$|keLzS$k#J`EIkU60Lr
zVgk2Y8aF_mh;IIw7*ijI=*@j~oh+ps(4GD}OI0)H|D2Fn{dyw(+54!tmj`6`!r2qu
zP6Ei6f_0Ty`j`B7ZcnQvr7nh05aTav8{XDQcl<rca#6{pl_u#1X+J+wY7%MW-rY*1
zr!OTb(ljn(ftfuiE*JfR_mW(s>VS6k+cQgp>lp5z3r8+eithG*RUi4QC-5!@jJmwF
zL%qd7MgW6SgNuxtG2!%n>k{eN;$=gLL#;35AlCtW;nEt547wlA)TWAX4PTX2^<l$u
zcB%d8AKVA)K(3dzqHzPBiq=ZwBOP+JP2%+7N=a%xd~BborTD9G`Cu%2I(}$aR?!q^
z=AX{Qj$`A#WSM#!l#w9gb^{Db8}x=Rr0yJ^5W)EeKfiy&G#X#XE)sc94;(tOsorOq
zVPcn%2RXHD1l}`tBNCDB#h0|A;kS8P<gTHEon;@q*G`(dak+)U?WAvlKy3ChIo`h$
zair7m@MrT`Nv<q}mYf1rr+J!L5cC{PwOGnH^!hP_<m{A2vYCMTt~RY8mf$v=!ecYn
zoCviv?24pxVX@F>I)OQTPHv-BqYq~~yaoVQQ3D>md3|>{T{lKfg!Lf>!n$$_tY6LQ
zJm4Mth2o7aJM6dm(>}~MGZ+B-(bW!6N+}BLGkkEvYwK>i^7@0cb6$9Hjzo2Dk-qGs
zCG@tnK-YgoX1@8B#bBpq9E1d^t`7M}qnvh9fcZ8fqUqrS)&K&B>(?NKC@uEe!Mzb!
zT3rNdqgzI?#|7IuN*!BhkyMzOG`Q?#){&0mP%A0cyjsx#It!l|L4+x&J=htqC9~rB
zYK4Nb@_>mhVMdEy*LIVCA9sf74mpEUhQ0V+^KE8afW{>KS48opK&xrodlB$Yse0ks
zB;|f{YFdBR?~inL5xE3_$@6sKHbrRnsvY>zbn4P$(6x!ppey&*9OPJ=fE16|?(7{o
zcG4|VWadvBOj%B!T4Q1ND^HKb%a!D$Q0QnP6F`@wG8e{=(Xc05aW^HT$;(NEC@oFL
zuE>>!B)m~?E+BR<XLmy5W=m{A2HZ#sT*hPiOf&YhpI_tkPDIy&D)azNJ*=;4txk6&
zSbTvg5^3v{@3;GC)~(px2gqE4XNT!qvjF!!c4~gbV8OHfXvR6>^#r~Eu0VoGG9%o(
zW@{GmcN5ak1iqmgw_ZHAWQLV)ZQUsI`GRo|!wc|KaSU6;98pV6wO>G$6nndTYD%*@
z70<d3`)*TPwOJP>0q!lqZ1%5<3qi4^lmg<OUT0G-gF-ksj2py^oB!<&-@kQ|!CI_Z
zd-bZB^n6pK*2Tn)>uBnCcN(-U^#<L^U+fRBMjPUd+)WK_R^r)RVBz-jeQmzi&ky>+
zAu5PqA_M2pl3&W(KY*vO$mP4N=`?q6$-?ev8xDLWmR^aS6y!T6<yslXjU&!=qOUp}
z>G;!jva3Y^U>fpVcR-L_0)*811?Rzj#Czn(WTJRg>j-RWq$BB>)QuS2DV0sVNU9P!
z{AGB?YPS*sb<_>5ZHvhqBEeoK6;*ndilRPkC#4Biv(iGK!Lx<WR$V%^dX=kW8<^3%
zwJWfM@yF5}lGm70#GR))#B|L_^_ki84GqHd!<-(iMLNJQ^Km^qA=Anzw20My9sN43
zcOX=n)@x{^i?uviy|<&XspyVYq|qM?{8f@#hoSkZuq}_i6F7#aruK8KY5S1YSn3Pg
z=RKvQjBLDK*f>MXE)^t>*aRzgL>Fwb&+SinyeIvVJEZi6JN@uCsC@nX;}fenGOg7l
zB<lM)Dt;!?1qViV$UFU51{QsO<<lek9iHXty=_QwL$Gy<qU{#L@KW-(O|UrG=~o9i
zCMMoyEuAb_doRwZd#ZM}>S<9J0xsU=+(GR#nub>>v|7uXRIkOMh^{)*{h7E%_aI<n
z&dDgF;Dd!}=h2?AG{act!n#{>EB>J8#6cHZP96alrNY??k}&@am&>bLc)j%CKzV+v
zG`R{Q>Tpl#nki%4<}<=sCN|-LW$nRbO%M_^oH2VAA8ixPG&i?UA_oTl{h*BQQj6Zm
zUbu&GoNXiFjr1_1E?1V-8DeL{glFN55VMwUs?Hb&zw)FAv`V$Vz4!yjr_IZT(l-=@
zZl`)Nyu-TvDD{|TVUn&AKO~^dkEiCzFw*B0Z*kzWsVtKh<qJy#?=AvE$3-oFuIecL
ziw2SKl{aqF+u&8sk|*uAwEQ1_opcNxEr{*8w9)R<Lm)ns`l&eQ)NO)CUe*<!t!T5)
zXXJG;kynM=Bc{GC!5N=y+tqB=;exljX3&jPU)_ZMm5qG|)=1B8crt$!8rXMbz>h-f
zslAZCDiH$z<fN?U><a*mmCf$cLB^oChur?0lwi-k?Hzc%rX$Gr%iuI0B7B2>mR1h)
z13&4l2Gv1K`BCv99+&H^=7jX{OP~E!$JJRe;PC^7)9c<BIbgoH0~yVeAL*R(4OwbG
z(y32YA%L5bk0LP*j7MG4{z{vX9LC#1{bjPu90gDWJ?r4Q5`<0+aW+aJ^Cqm1)6*29
zgQBi!dNN4;LUE*H)aHDolXB7N_-EQLCI^Q<zfo>Kd%vA+znWM0!dWqOgM5Ha-dRZY
zZx4g)ZlPv{TeQN_MBuz0<>7vdG)VFpHOivRm4klg(%S7daTnLv(z{!}wu=bin~9O&
zp}nf;Qg&C9Ok!3!B`4Vmx?QsrT)+<m%r>TDE=#P}`A8qc(iTfV;Y72k4`0(Z*s|uV
zk#oS+KsJAPk~MSK(c~O+q{9RNe%6>||60d7`?$dYmEICd^&eCmh?5R=TXf%~cB9K3
zMH|PQU6Pj@=?=&D0$(-KKAM*HV}RB55pZ2>UO66the{81^WkS98;IAU87oqw!iwUz
zFF#?Xpuo%co+v05oTZel@?K6gtCK}^l=dzI({P7-rsMfO=W0X$#+ss|ej}?NU*cvq
zl(aALFu+yyr!9H=g6+aVB%$Qnx;yCF*^z^b^_QEL)$_K+IkV?}Inp^^JGHIt#OLx)
zfAn&QZ>Za}`)hroye8EogiwfgZ7rCPGXlWhs5Dm_@wYWs82)~ha;?Wf(*+5BljlTd
zFXT~PI@?DCof#d=z)a>Q>1%8&mP{q@awk2{RB6^W=neaX>3FcTy0?_gape70O?+BN
z=)+~C{8IXJUg6tF-<+Z0O#R2nJ){J8BNv+4n-O2&K`LYS43k4`1Na^0ybiYC&qd5q
z7c1KIGUooadIey~wZ)ln*JNTiWUhI+*Q51vb`4_-m9mEd#CbJ}@gr%ZBDtCul_zhJ
zvc3&g^|kC|hWPCvy*i!nZczYdvInQ1^~p3W9T*D_=AGx{>?HXlPR|$0LTdsl0~TI#
zOkE1^-M^MzXP`TWNI}`u@nt=>C!dH*!Lbc@^q+JEIU6yOx}6>9cvtcRuqnbBcQF{>
z6uLkAW4g@DM_TK#7r)^u$$lj0yx#?Kwu{TBy*sc12o2LG9k$tk$9+!UE67&X4;5U`
zpSCq1p-()HZ2}c?0q35I6&-Ct+r)|N+Urm-$J3jHF4XF_J_M{f$zC`+4H(p|=H(Z&
z*1P?;jPuQi;ENva^4<1nDP%NEI-2ig8GZTPWOytc)?#Z7`wP*0Bk#9AtmK+BwC>Nw
zfxq8yobDUj-x&7Gm=5xfg*kNMu?%_k7ciR}CK_;}Z3)-S>O|baLhtCn=(Lw+uR4<z
zQ<U7mTK|jF+dl|RY5ZQC9m)y@ifid5U<oNf&2GTP?0;bJAV7PJXGF#K&7RWjL<TgP
z?6FQSxV*YYd-2`h^qBvS@mT|`n%@h5%G*#TNeK*TFKcmeJpL)A7*zvliiHYr-oB8*
zM+WrQ8&rpo&EBy5`;tvc2;4!hbe8*MEqYO`B=r(r$y%rnfapfZ(-lPjYo_N<$#Jye
zBOTpBTfpgP*Fx>ogIhI`h-LXx7%(U0YB_gFX7lP2$iQXpoK5~e^BsNQ89d+X;!@w+
zolXRdT$XHv_<q%V)&(EiZC@JqIp{aBw8($B?mh57D1?3-^s3k6p~&Rx#Psv>gUr`A
zP=M0eQTHW+0ZC84nPt+4@mfZd^#^LrqKwH+R(8gv;bY9-o*A5vyd`8NdB**iH9C>O
z^&_!XRYy9&sM#c4M}9u2?TS>n#+;5XV7gtrJ77#EAs5F>rAFt-{>UPu9Eaq@xFI6G
zv!ME?B<NZ*!m#r`q5Sg7I40Szdp9_GZqzrtf&eoV?*V#t?kx^gg5yrv)*}>>eD4zq
zVdW=DZZ=oO3+-&^t)-^7*-%6_zBNzd{B(O{Zy$F@m5Xz+5zZ%%?Qi>4EUbHZFD=lD
zJ*F#?JIa^G-E13)4(ssLMZ``V?(5Z#2x1$dVA1WG92dk%is@|6#-g&5ziFC5CJbg)
z)XQ^<3t4gDdyh(1vlA3i;DSYbb0upn!!}|3;eLPAvl4Ta5(c_)k+MVk{{J4PP2WmP
zObOy}=2`3(h4Ur;G*BC2n{0MyqT|?+J=5_0=2z8guAUAx^93U#R7s(iwXW`220WK_
z7RrT(m{=d_Y_<i>o_ZzRmcPf|>8Uq%s*)>Ef29Y&3krNDq8W-duqDY>nVgKsph*$e
zvXXycrnkp9Gk&LaD0e2(&uQEn=S_dxpK1TiW~OPgN3i`^hW!@?)BHU>r+2xaXzp|c
zuLg1|DM#d`jV@jP$ECQo$j{#h)cOqj!%s^I@#A!v_W<g*=_d~-uG=4e)18?N5BG#d
zc(_^0Ro+KBC$06yb|PFn9_{q=^cZPu4PF=f!`vVxJeM`Xq#Jf}Q|}*NB%QPm6DM+Q
zO~&Zu8232vSXtFb-(f-atE;CF9<HL}=NI-9*L-d~|H9=!8IIJ3$RZ_!d?u4Y=)I_k
zxVX0gpMq@3y;rL@?VfNX&g~DD8W2ke9!)U$oSMYFvo3?@kS_(%)-k-#mTFMl`_sAe
zymzVtA7eTGvcGFe+=Xaw`;yvJB%pz}3|X_3Q}VJ8BNOy87$C3mI!HTcGrP0@gqcA*
zi=Q?d((ay(ZYIMVbUizoB}RmbWszxkUj>~yvOzzPj+Z`Tz4W&SvB?Bhqm-IDxEn5|
zJXDI?9CZ~`M8?{F^m5;196X=)MH~3(u4W_L523t{8ogCy-xo<Vk4`<Hi=JTT)^jGc
zyhpsbMcmH41$xpmz}UhI?s}YHmrd202mXI|AUuICz`k#JRmV8Zc95DrkDtCHO=Uwd
z)LX+d-MPz2kpotC8)d8O>0I>MstrdW{{*zjG9jkavo=wV20fD*E*ALt^G;91Nvhu9
zBOSklaH;IZ$%f16JSS_}ee%H9*APQj`EDjr;NoA`Gho}o-S9k)s>j<LMxZ>d-kBH<
ze+vrme5Q}JmiGH0<YB#5FZWy4-Cu?|nn04^ti+-If4FPYrZUUlREJ&`2QW+~Q}?!a
zmamW8uaAN}U3j|7Kql9vgYFLsQk0o#?1i*k?wp*Mv(e;(5uso&T{3&K=Qi&#B8#38
zhBLWMw%CX38z_fw*IUm@SKNGqX%R7`j9t#sfLpV1lsvh3a5S~oc%Wk1XjCYYyibAD
zf!u3Dg_Wnm{SKaxY^D167i31BoO(I9vPqc7ltw?O?Hl2C?3U^?Elb(iSfw4CO=%A&
z9$#lke)_cigZP4_)do?k)g0-R3iCO>tyC)#@qwbp6u-Y+3f+1@%w=!dl@2Khl}|@2
zv;y1VXsiv$*A55|uP1=6Cy<Cp@I!$D)y&USVosw!wP0)=6vPcWdb^pM!}6UyuEh*?
zV#hiwPbCJ~0r*YP(J>Af!^1ID!86xL2N}dw74%R4JKV|t_s8$!A~I2@uq%R;ZreBM
zMvJYCj3b@Xg<~9Jnmv(S!=7vMCd86)*-%?_-=ObxPa;^~hG3bH^h*2J^twtbYMYR8
zOHhY6@W3ajdDaD%(ix4TbB8VdaMBiRqIusXN>#j=r@;>!LhVa~Z1=rCeZ<d$KKb>X
zqDU9dNbQvk60obu4tmhF$r@?+h@WzoV~H#xV=wmXu8pQJDU+bTx?ctO3zK&}r*hWZ
z`+nSGm25@<R}pf2)IyFX>=455o=A6BEr|HHq$FYZ%z_m1Yj7I&&`qTsyOF#6GDcFE
zpz|NTl~cXMS#cCB-R#Z-_+lQUon)iiI%kZGj*IPj@?>_SOWk<dwyC76*&`^LGVYhz
zWRpPm{kA{*qfLD##VY@$=9{-evq)em^@>X>H?CP#(TP4USfRXTBkSZ6ptlS3LKYNJ
zB{bOs?<h$3tpKzAE<w_sZcO&oPrrEH5FMu<kMj(J>aBDVYKRfNhvyEbA0u3v!-v_P
z&6IxIbc*$e*GSzR>!Pr_dmbV}*}@PX)`tALiZKTKf{AM2iz6cN)*fEKnHs5??&vBb
zlwv<DViFyDZmMr|*xS1m<@^MVVRd(aiUn7klmQmm;2-#M;W0Uf-Y=?>fV+m}N=8ZP
z{@PH9b>&%gYeg9~Ij|n$`B_70C2OShpZ*)HFb(@@Ws#0BltL!+ZDXq+tTX(ob_02N
z_ZcNbP%ux=sml@NGvobad0Mf2$^+oH8x@q8hP3X(eaEJ!u#_EMHbKDgF>X}w9BEa`
z8{g1|$9Fm!oGGfR;9bo;(lJY*7|bo1g@{6SQ#H9mfiBiJt8tA#b|Z2QUJI&lFO)w8
zm-Qnfh45jYBb{5yhK47YruPjLVSi3z|8Atso7r~PubEZ?2qa3rF!1>Etb)TZCwufL
zkTp6`s0|wilY_%z&kZ+SuF2k0UK)3`>*41L3yxD9l)-aqIFL5yTR*bW9aCOoo6{Z_
z)o_AfU+qv-U!%~<yW{c}+lOfK10($=l$E_fPa7?)T7zt#eNN<S?+(I!L~;o#3jSQ>
z(<;gl^kx^X!O#O!{)zl$Yzrk3COQPo9ZqC5=OG*Wkyph2+IF{7=Fyt7Eb5)v@)k6#
zc+C;Ai8^f(4QH8p1Ii_}XJb3XY-t}<q3}n*fE{7=E|_`jwO|`;7$H~lp2i52o+Txa
za8_m|v%0QI|KtX5s3Y4Wz`s3oX96{FcRUe|Uv$WafMW;plskeJ#ZF9fxLPytDt!L_
z?3ju&c)%FXpaEqaMZxBWUM_DqPuGy$wYgw`;RKVd+?7Akj5H($YlK%Qf+k2SOIsVm
zZl>Hxji|hu)?*vmVfTFHAP;RTIj9XP{Z-PMgyfI)>~8b-+L`-DI(KjVvXoS_{=Gu;
zP1nHW77-pDdnM&JO^x_R@F?fr>^A4DOtHgCrM|q<tI-M9@D?$@I0`VUNTA#jt5-Oj
zR#`tB^myGmRJq&1Gw4L)C^?i1kH$4Aa|G27-)F3r4Q<y3|7>%lL(YDH9_l_7bS7K8
zoq#ebqqDvD_-!@LeA>>D&VA*fTw^tB5cr_l_MGHR^!zwL3X+X8)+M@oy8i5MNzH)y
zV`^`|_w@rrkfkT7aCOwL3`de4_X#acpHL3|_P<;^PkVkC$Su_m53#)1MfR+cgpw{p
zNU@YA5kL=g9Uq1t@Ybx9<bf*GmMJa!BIpHiWuwwJb_HMa)@6ETX^Dp}=m+z;19$=s
z6g#JSFmZ2aUwdPKk#}&U^KmbwQS(QJo<9KP?(&MD>+LX<Zunv;MV|Xabt$#3KgiM-
zSWl2dH`xF(iy$5pJg$>DS7&7-uL&tsIe&P6@An`4G0iy68rOz&SzxZ@ZV|WBmh|%`
z-P2z|!}drnnNkJI=NWC@RcVq#hi*`*hy1!jBR%}*dO*Umr8$ys^cB*K)sOx&FRplz
zIsLN?Xk_Y1^GgdZkZgt%`ED|p6C=O}JL(9!x6FDOJU3ty)BM$B0eRpn&AngiLPA17
zahCoVs~=q#>-t>+r4@3wD90<gIrOv{sE2#0Glkkz!)1m?X_r>U(OKmfgO1!N+?tar
zXpa3YUujZ!!&I-$=|#fqvM-zK#7G)&VhrzU`s3^>7^K1r1O491X`8H=o3*`+c78uJ
zH{9Rq<>44Sz|d*u|A)J&pRP?@^P3pH=962k`N(W+x5n7Yq;Gt;)>Y=Z4fw<#k1rzX
zMuc{<`ahh|E|E){jsIM@K3TI*FQAO(-L1&*F`&&aP0Q-%*c4V>l`a0)CCg#-YSihA
zAeuGKY`r0*x~b9j^|jpSc~XL31s!pQ^^Vjs&wVKu>B0Q-fImE)gyEp=z1ZMo5r()I
zv1E1@Z3LF&r(ZeHXpb|uV_o-OgKZAD-aC;xbD5huGZAB7e~FpSz9g`E|DU1S|IYQh
z?Vr~3J}nncsx`jC$H)}N?C3q*arbMj$(a6A7G^KWwUr-bR@QZGR-gMj`a@<-(3hfB
zGX3?|Z-!@?dcA%jT!+{BGhRr#EWp3P!|r6m=dIoEpRD)Bm1ChLGhI3K*Y70ZEcA`!
z_&N|<wnMgA9j!E_^&MxMwHNr;IzUJW7~(15yK%jdQ)aEM{kX^LivD@r*8#Q#iYX+_
z8kZe%g=5l&XgJQcymh<}R)m4R%+BmZ&#CS){Qm`%Zd8~-zgusPh3MNwmE%))BFcuZ
zt>M*I#IQ7lxDaeWE5E&riX!fv=LT0U<NEspDxLo*^<~QN!o&}1*p=<W%=xOP__p|J
zd|To~IJsS3h5UD$9H)@@$jBuZ<}&kNJfrTj7Kc7~Moq{EE|La3e0Y1okvf;fM>;p%
zE#jg%ODPz^?cE?R(P&2H7sQ_h42~A~NfRI2GSBATX<7f!N;QfjoyMrv2VVG}Gg)SH
zHFLGsU8l&at33#FxV#}fUw+`Y-j$of@$L_<c(PkN0}qPSC&pfx;&t4<@n`l_0y_A*
z=G)Bd&vm0Z_Ib5K1<z!=$P1nLIaSbE$vV!m+34G~D?3?FB@x}Px#dr3^J>QkU~5Bz
z%w8UedcLYT^b1_dw&fKr6;TJ;0T0(ZMfWF5O1WftLPh<Njx7QBD&xwhPBY6+bAKke
zaX&9uhqHdM?`wMGoae)}(5JV$?ErVl#$}Y<lFoAHI_DbY!zB@|TlCMUx|Pe*eTBaI
zWZ&z_hTU7$IqFhJcC>5&<BvLq?=F=S;BB9iefa`k+`5C0x<Rti;|Z3Kr_AWUBc042
zgM?;gBmS>5U_qJS8=!uFCs!@V{)?ep%^id3;ay%qb3E2g_A-tUeo(`-0X||dqkbO?
zt$e9E45&ELDe6cm6{KH7sNv{>l~fJhH}@K_ZU&Vgc-NG=G5U+MBrQ1g>41V_+X6S3
zR)57h(s|Qg4h3k!=o?h{k&br!blotzHS|bFRXUmS4lAYt#vn&J;M<wG7tsQ*pW-^E
zk95Yry0bZT%8}$g`|`NRZ&;Bdmod&ujNgTcxeznkA+6=*9KVV1xWLX8ehzMOCFh-r
z(UezWo@4jd)gE8ACHgeJ=OHKK3Fb(rf0oorD&%WJPJa24o+NsFj*gQ-^@^|bU0m(W
zgwM9RhV@5JQX@U7wBEH;0UxHPVnX2hryGvfpzcRc#T^s)V<6@jJ&i#vURrCu4Lr2<
z4W}J~Lz*rJCzO<rf_xI1MEdx~W4OU3$~E^+R<^i$vi2GrLHbe4Eq3_irV8}*@+_IE
z?mN;kC<ApNvi@?oz22L1&~a-JtjVuEqm17}Oc9Fwf=nZe5SY(29{z3@J=~I`-m=Xd
zXP|2RM~j<Dx*XF3y*Jm6@!d(`R(uRjzCJ%qECAqg=CJFl_P~MJkH7l^YG&h7wmJm3
zF?#!8cXR|M6b~Qi)Tbtcu#*m2d@7qK7Vqt8F7P{#bcU?oq!Oh(dA?E4Lma@2H*&Ft
z_EODq;VBiIPMiJ3^?SzWmk36EY$vyqw$%;1bIw1-P;xbvWmG%}-4-u7(xFgt{*!|D
zAH;7yZB>{={V3c9w;V(RPLIcL%+<1qusB=MI-Yo(2xaq&9VT^AU_^HtS8wpa6xCip
z?ina!veqpj4Z`JmOx5P^!)KG8jXfY2M^wWS#83|O(-pb61bTbQ??8%~SH2D12*VW1
zK&H7^*!MEWfZm>12-y~ee<wZCiS6Q05`oqu?9|};7l%fqS|yJN3EMk+!2Ri2MKFx;
zr+@g9j;<%`(_z_Zqt4;IJXg0<fY<>y64_=w47W0hdCM<7mFG9HI{kQVvVa$CGsCm~
z_FPO>Ug?Z4%gh3)ZQExPBXV-TdV0)`F+<XG!Z#2GIK6x&H5+f!`FKFv@pZWEZI=E3
znLElz3pXCApj@DDLnZH%S38oE@e$?Y`A)X-8ZJ%Oi87nV5jBYr*-bFtc}^lzR>L-*
z@A}~X<5V;8LFy5~MDuvGT}TAhXRltDN}Ow`;dda7mC3{@6}r}*II^o3|8%lv_CQHE
zJEmaqKZYujG;KHO4p{vT(0$&0dHrsE%Jdbo9od7?J)?e|wAwlo88ehwQ7l*VSEp_z
zuGOQ03YHn}OBCInuo_;_v)L}?yK#f&n|N(|7{Xp0HS0^ajqh|K{|%k~?-HLlG7%j|
zI-z?Z`?F115&}4-I!}UQRf&I*8pa*zoPow*pROwtv+1t<@r6OCzsSMEnN=&|c5wN&
zO*8eje(-wOTqfDu@obyR;Bdl0jX3l41-5-ec+K6Sia|pgG&-@o{kRBJCpaz}&4hay
z4Y7*mM@!RT&LByenmnDmwBZ(sVRCrvezv?ereCqbNUD@~23Pe<@_2T>`XG$%Vb{Gn
zv9<H$r4h6RBCR+G0W@IjAYv<Z>7t+@EMF!SC5rgi0?13?#PlSg^g{pZm~oiR#yEVP
ziid~Ke)&JyH*?K3_3$a5UEue4c_B3>?dgS(AlO;Qcas<t0)~;sQ;J`Zn_hSdbMQik
zyy3p@q77Ev+h!IAru`txn^S*zsoctF@FP!8XUMIq$$nH1V#Tb7%2nHjnpnVPJ#&)d
z;UMqHE8Ln*lwMoT5`yqsT48!P??yNyFDXIrL?z44gmLUTMgT0+aON!7Xa-g=N8R%4
zYejmEmX^@&X83#&RUtY(Fp>x%DWaY;ba^|-KQe*_Jm;w|%w41qb-?dveGWLgi+Yb2
zT^8L0#~ltdv(USInKQo_WO6OG-geW(&F-qoVcuO|7)2bqxwo42I+%?h*>J70TMpDM
z`r3h;Pe;#LTp)MS)0h@sPP>AH1c&SRKm0#$)SVuhf1cit$!=}|RjaR)!eeJC_{TZo
zMVy@!nj&S+aY${jR|8=!BfOOHH^I@u=QnFto-vyHdAcSlz+6h}Dil2Wd}@jkoEj=J
zbI3nMv53f(b#itmJCoL^C>W3+Q62^{PyIgH?Np7hgE-#=8DIqLR_A!%PGwOl{CXqk
zu(nD7mpjr7GdhqqwLx>7-a_lG(5bfut;;4d)ipzw4AJR;#I@#AKl1Y`U+i(CJ578C
z#qZ_@fUJeJE25s(QiDqLiN(v&O^4`@5AXan)$5Og=?he@K{ekkDfMPQ2g7A9?X;^=
zyH2}nWSd}AZHQHIEBXa5FvRX+SSL?EDQ9<eG_2!;vqBj)P6A>|ok-~8D&xon&0xM;
zf33B!3P?;ne8x?c>{Lwtk^&h8NJ*pgwR!yRkq*A58qu;B{PyF2Ga*HjODEv!_#q4J
zcbWO89aG9>F7+K>59dfVpthFz^9N53?-ei2Gr3H<nJx%IjwpMXqd~W<?P=Q|Ao*4A
z8;o9M3PWqR_wyayb6?OBx}=`VHaKq(THiK;`Gh)9P4bR!?&MGYQ%9<IUYM{sIn_97
zYeFn#d+6h+#Lai3r8JR4NrC``#)Go80cP)cW*DoT+#WmkSVYT?XT!F;-;qwkiE1MB
z81^LG`AIc8<NBHv@?&bc#-s;+9ZHywFg-94<SKC|+yA^cTZ2BE28t$8t)^&Kukqam
zjB4qU9W}vZ?B0{7b#+<W<aH=dyq=uYV@}(mz<O>K2~kyOkF!t5Qkh<^EyWwDep4-f
ziX9DY&*86iYrF^zdye|!ZBYQ*Mr}DE5urtCPcMwmEx;#buEnZ@Ct?DH^1M<lJ}1AF
zyej4hM$%^>tDXej=(oBFz(dD%u!ck_r0`u&fzM3m)<T0qp3!y91T93wk<PTR9%jFb
z^a<P<xZ`(-dpOD)fxZ!mQ};l?9d`Bu5o`Y#Y``efi=OH#{EO(fA5L>xdVdhtEtL?A
zRfjdTsq1Yd0x@d&@ZB`_N|qKWW&bL?x|MOH^E;Abk~+AU0Faik7=>4|8l)WWulbW^
z+q7d`NdxR>hZy^;xa1aph9x=m__tTB#>t92DmjB@TXHp8{+plw2@tne6&nX`C?a9U
zu_b&b;&B!PFJ{0PoGvX{x{JfE?<u!s&ZqW}-e#yyHh{RD9Dg4th^KerDcB<&=d6Jv
zosrLV2-?MEx~^gXx84a9CEuD^b6}vPW;@94X@JQFT;!uX(m7qK@*kRs?sMCF&ry3m
z#>lZ)G^JdgDdivOpmE>6`q?#8>Ftpg?c}mgjzzsCkRDx`o`yYPz=0dbv;d}5dwlo*
z-dWDr2j;;bt-U}v7*h)oxK7ll4*~=X&GxDEC!-$W>5ozKqd10TT@-XbB$0K<7^eAT
zn$kitrcckgOT&FETKsCyK^*~)m+6j=;KA?-&Y|7*MTNx}>eY-rpgI;(Z-1oo&)VlQ
zE1xI}Gu`<+m3VguEs@XYg9n`sOsyL5hDFRX-b4@HDu8YVGYhnPy*xcb(D`LB;^m^#
z)F|)w2bj)T$VdP3G0u<>tU?=8z6khH*ziqW9G>Kmb8meo&?=~W=w`c**_?YSC<y(3
zG56+SX`b8KIBj>@?w#qlt!8pKO&YB=N{oqdrl&D6i32;@h>A)hi4!8u6Vq<f#yCWp
zm^ce<jG9D|5<wiHi6SwGL{U^!h~f}5sE8oQ;Ai&U*Ka!K?DJjUcdqOAt-pD>cpuiY
z)_p(ETI;^7s`tdnpJ0njB0`#C>i2{zRKt;I&w4`#?CEJxZ6va>Sjg+0XO)s1@+_d-
zyE1uaIHI$zv~9I&oV?o77=FF^63_pTi^HR@YM?`1XT#zI!S^|3R(;JE$7i*XCrZfN
zlp_zy=`I@iD-LlFH5XnLyu>bhL6ke3el*-G>|X>fRKvqALk~(0f}f04lHrG>?%ayE
zWJ6Mg3V8ff!n+%Ha34_=QgwE7h^>z7n0wUIwK$qa$?3l*`AJll8a3AR9aG%LH8p+T
zsO%)R0R=^qN=TB8e2SkG*oOP-f1lXK|Gs_rV9XLu9@0lTLp~1lt(;r$BLuEh4k6_0
z`sOgQ(=|>p>088X>*X6$d__bkv%D(t#`D4xq;FLqvtdt{v9sLy>g<!5^%e(bQS|Qi
z($+hXdrvqit569lwIay70GsnnRGxC9|FW;o2H(E>)x2sqIhmbX_H$37h3)<vWzVpM
z)g`(jF1j$JTkF5U!ug>l>tXhiKS0b-Eq<YO%B%|Rl<vpM=>v=RW0y50Z@r5r-qfOr
zOBNe*9b=E>k;Pf}nt0UZ;iD~-o|I|hNkw(0yOe!dc+^>9iA>tyPzdHlpHjd3=W9S6
zwLJDb<5u1~V_J}leX)3jD7FvWcdkgJS(}tH>~zzSmEkl-?k2me?>@iK1$ZKJkeYGe
z+uZol%E+{m*vDJmsqmg($HFzpGJFwv{eowxI|FRpes7fU)o>TH3pULlbVsx+H3)f8
z*@$=A&vTh4b5n-LI7z=QIYiv$uJB@QcJgu8U3pTfM~bz7B2r3MWgF1pjQ)E@tjwA0
zmaz?}O6;+8uAEUN3=BJTq;tM3=PY0QWhqU+PcOY=h033*rZxM+Zq3ou4)@9wYu)yR
zXX-~-?Swvrwo7L1eW~=?%^_9*H4c%oDGNLsbLKbrbB{2p=xnR4l`AJv=TVL<bn(~5
zGX2Ch)J4=+LB!K*3&w_ywBW^toFt0O!^bDYbzl7)^-b}RB1||3e0i-ESkODGC^#RD
z0Ph=eIx(2cbYtTu4;GhzsH07LO5IVTfmU?l0g7hu7xqPYfa7m(?26I8qEo3;R{qe6
zt}Z63WEUCy>6ZLb!4<<Pm1$mi@xzTt(6Jv%CT))mVVD$$6(7vN%nSoj_tKZc!zlfu
zaD<1`UH4x_=L&d#S~Rt^pC!k|9FC%FIAT<SIXAE3$~hY}jIh)U%KDyPxX8d%Y*HZ?
z?#^#awocdAFj-cr)!Kw4+3K6-!CT_i6}nEd0}t6PKNy%sw`B1K1GP^3$FSy$|E|~k
zBaZi;Bcac}o9HR@-t$1g&GUA@!Ok`4Q{ny4kfAL#4Xo6)FoTCd;C6pj0R{ZsETdBk
zm%MRKOoqBrw&p4Cx;n;D_atbjiv=^2<l##iJ^Ys)1ozP2M`Ggf%<ZiseMZN>yj3+Y
zX%=l$ofR6tl;LPm)0xTEeS>(yA{VfF5~JjLbdVTUO+=3}4{QUDY(RF69z<BKGKM{;
zH`3V0XgRon#gq#X+8B?VYh&Yj$vq(%m+>4??K9!m`l{r6|9UtXGg<;yl{`|dLp}*Y
zWE{AF43D<Yd+O>S_sn7~A8e&RX>Uvb4+tDu;B_*ksovzj5x}iLhVkI`MAmJdz&#wD
zA|Bt&M#s*$Q0L0aH{rHsWkJAF4`bpet4w4}nQ950MT&SS4#Q})V((|y@uQO96t8W-
zLt?$k@xf70R_#c6dIu%&D9h=lB_rjHXzaN*9t!87XNr|DZ{r_Qanv=|+DeryiuxQ(
z$ZF6ci+A6p+i&)lK`YoLffG#SyXBZQ)*M-e|DnPknN{WSV9@4-#Qp@sqVmm4>FCO_
zbFw8SX=$aH9@`pF4EtU*F7>QO`@ETJdn{&`S<6-eJ+H2suWxy`cP1Nd4A-2KTG(Dm
z)|dKa%5Oq{9%~%|<8QY<nrj}lWufXdPbBS^m?i#ew5C8%fZc-mcP3XlEkLGpab`Ae
zZ+^LMUNF|($yqjU1%1g_FE8H)*zQT^AGm1b9_hk%a^hdlF;tC~Of>r23AIfNs3#Go
z69UY(0TULtz9hZKIA9A_WjUqjHj0Nt9)kg%IokjsNm5eygo=Sr&1^=4G__!q?-$zu
zhRt4b7oNLRWX*qTH2dqH?3FD3EO8?HM3^pf6}b<(OQ$z12fRD%Y>lEn^ECijH`N<K
z=p9tM!XPZr6iUWrJve7w`Yg#u2x4yo4C>zi-!}v&hm@1sE!>3_<%;Qg<nAm&mw%FU
zOuqAPRR({&Lged@prCM-p$`+r+Ih$pfxjhD`PGk-A0iTjqoi)6i4#bkzxw9_{_ks5
zAc?{=V{wBua}x3ezU6qz*m1lv@pwlz7mL2|<k}9xk;Y5bTIWv3>ccUVV?TKKZ_4Et
zc)tapjU@#*yUV!nUTf+m)fXA{a6aDHJnCv#Qf~v2kY6ooNJg;I$baO(W$AVFze0A<
z*+?6_)!VON%6Ns|mxzGsSvifY1Y`F$;Elv2N`fcrG{i?e)?Kr0JQicH!M<!Si@%A^
zHKS|;8V<bEU-kambyf-{abp!oFd*Zln@_d@Z_i>S+kkJtR}?gY+*Rvfr&-l7kCkv>
zY8|yP5!A4->HQ%qfEe<@{=&!Eo;$>UUb6~h{G?u+<w{if?9z>XOV-;ur-hzMW_GHS
z2UA3Mr$US!{=a+uXUXdj>S<Thye1&9aYp8{xOE`6`#gtzG)5Qh+W6Umrk~~y9hXS4
z{k+Q|n>-{Y8=+k|T(TbRU<&mKi20ikc&}j=uF4Os1W#pLDi|-Gb&K>)E0DI|*{$n{
zAQD^EbbX_Xx;1&s0g+ut4xi)9%jY@s8#l-@)YBI6rQ)qD7g-ek3HJ1OMKi^+bo$b;
z={=-QTshwgMArB_gDPE%!8QRqkhZ&JQiCv0^qKH>sroLz36Z{f;IDrxsQ3_cf3|G}
zK@iPqk)9TLmhA<}@0Jp!Mdi<iV;n4JaZl&!8Y9Y|N$IIG-0+>Cd!r5*f#N^*`kdBx
zNwS3ZpB-J}IwP6CylqNzvT{4>abw=q!bxQBG*4}~#RQpgOc)*B$Z&BB)F-?(zc3`)
zrX?(Y#|V{too>_UXDU3kB^$MI;(&5EL%s(r`{U9MhfkFqXs57#WfZj2Tj{9~M~e}L
z2$8Gz5lRA<QO#v!h4?`?5Q089*8#418z674-B{c|t07kl7$a7saAknkBvcCeTmT_`
zrKoNojAA`A^e&@zmxoJR_eOfWwX`4Y0){Fiv}|NyxYP9-tlXjCJ>HmV=!<kb7bI{y
zqjnkyZ!wiv>H?^+<G6?LgRPz@mF<VN9=3y272Lu+`Tv|Nvh!&X{3C*{sMRwANU1<d
zJ2{B0DI!KT!oC{5UuSR5jA%~{FaK?Z1D)rVZm<hlyO$x1<Na}p!$&YATSlQT;dKx8
zPIr@9!Ok;x&94f_ArWA9d@;RSdA-}NxU75m5~mFZ${O_!1~=y3gt}19rD$0u!<Ils
z)Yw9%6YojkllJMHEo8yyY7)>F*a=2#O4cwH!2a=~n3senhc%a~k4}&p-E-2@S-bmH
z{4<S92OtSBuy1hpmT8^Z#vx#D1S!h#m-&-WzGXZ46*}kSd30d$SJ9-#<0ql!um8Zi
zSb(Tr{MUb87xrP9up9nl*do)j<)-a%UaDJTonY$YCLSY)==X)tE^n7TR8;O1u#D|)
z4CZ_cBs982V#2PNJ^N!N)G?}K*-eJU2J8cdyWz--&jv|>$=QpqCf|!^b#|Kd`@NZ^
z)oylHS$*3S!Zaz{|3G=o@HXm>u|SsiZr#J_l?v=p*_9Wh%*wAyLctc!&=*F@)D+Pb
zP~LD)M0VrBWw(ZXN3IvSYI2X&GH5QDxt)!vvvcl?mF&-^`NfzGO~8Jjr^SK&u*#W{
zu_lPZ&HilbAiqXlbpp3(Q`&Olt}xB$i(Y?Jh^#tQ#2D)htNHrqUq32ApF4N&IWo%E
zFZkzC)}nA)*u(fiVrm^?vC&^F!AZ{O{9CXr-;Sf&RYq^Zx|iL{D75jlED)0QBQI<x
zOYd<_g?)3h#iep=ElsJ=dLJ&QIv?=AUsUl$I_s&0h0mHLwr=F0o%0MQgJojQAfPmZ
zsJvD$eQAXOMRtPmL_-^w-IvK4RPoad!2|9OHM4rsg_R|h`H7l_#V=AqS{shvG=tMb
zsFkRA@kX64`$FsAhUGjA4pT04SMbf2IA5o>*M`)bYwTO~?TZ4{)F<sn?E~jmpKY)U
zh{)nvZUY?mR6N`UJV#{4g|5SS#T6;n>m$PKq0;{1(N@p<w5<19-VaC1w;IpTHj4$*
zhq%cWwjPD!3vD>((jF1wpw`j>`SKBXU=Y*`?{}4(%M&IohBs(A!XZ>Cx@2gjW`yZ)
zuz!^S^m!K*BQRJls1>s7UHme2u}9`)Zu?1ISIoH6*k0QgMCU+uB?lk%1>?(_CixlV
z-s{&hrH1G?`UXFe4A(kJi7&EPwJd9B4|{~Az7fqLOTN+KPe2`oCo)((W0k>NZ*0+8
z*~GZ>1;(ectufu;xnlMX?u)o;v|o_S)}M+d&>PJKRT?c@4+I~1a=%wQi?lx|JX`2i
zz{%{e>#}|vX*xnQo5`&znB?6Xx|{%wIdfKy!1(xDcWRI_;x+)>x1YCRjFTVuBD{C{
z%)j3uxW6@J`uk^=lSVHuU|rt^;*dB<U3Q`tDdEQMt4q&9il=px=nEN{i!}Wh6V=e&
zg+IO7xhux8^0R#AA&Xo{Nl`xIQidcveNGsi5<fThgr7WK&q|t#1rmVw^+Bx_qTAhe
zGq`O)?WC&qr$RJ3@{mxpLCT+a-Y)R$i__kgA68GyI`K7)@kD{T%TW1-ULEftx#7h6
z!#3dH3o1=OpRPFG?LVL0M$3q8u!QxT_XrGN+L|-2req_M1ZTP3?78~OZ~~!XWL5IE
zJ05>H9FeaI7KjrRe^b$cTF$mK_Rq2Qw;b}&41W3il~mAQ;(*+kwED7ZC)sB;<(&S^
z)<J;v;)lfZk}+ThQ`kY`xpR;t6+zHrgMl#JDB@O5f~Z7!DgOl5!gjYarP?noUkri|
z!>s&so<y{z20ME6hF3U=7<J2Dx&RdHD^ZJn+1WT&Yt#RB>=I(WrkFIo<V~2MX#=Cm
zmiC>y;D9GFnS%j5@IHw-JK{5Tf;K03iGe4*<vhjsB9fWErs!7=XBFjIUK41TL-Ug9
z`L>7-T|1i3K}VAtw_uFdLAF-WaQ1gi^SvAwLEqlQ>m{SO`V>oP^@j8S@YW7p`+R6h
z%^b_l*QncYU@OY!C0$u`^o??(1@X@toMoVIbpJs&k<xIyCBEqb<J)8l!V#36LbIuu
z6^&3NN@(m0_!3#~{jh{7)O0=x?c=>uc0&H83vwlW8{iSj+C7-!NejR%xEg&SNu!h`
z<s#u@sKm0-oZv2|cgNCECZPC7e|hg>*)c-l1i|tS=FqISM+}>ABGVX2f%-1*U_g-a
z{Jf0$$!RV0_G@y(D#l&27KNY0m~l`>-8Nv-<wKUiLMpSQx2$(W8bQyL7B%)DNRB}m
zP~C=y;@SMg9b9;J?9&;B6aINeUfH8<fJ1>|l15rLs0p1)smkXDfzbcvw-1B7br-+J
znLegwRbvK=IZ1}b_8p(sXKI=C#{Fu2^y<7)i~HeJhPSr>o3uaX*y=&`CQS~SH^ByU
zYy%ptLgW(qHedw&eSrSG)V*t?;-xa(xY=+DI*ZG23)nLxVXRNI-dAf#6$D0}KpaEE
zi7WYuUACY+MqGt{mrFEg(AE!*;>xy|B;cA6U-#Xv<xTNb?NZWF(xGQN0Z7#>In=+z
zLrNI&t;oy4tD6eOvXK$X^#1it8a``4(E^&Ona;hgkvr=;=g7ums~h!EZW(l?KK6Ou
zX^d}To2*3cB~=RXe_^~evYe2JSfdpFG0I3UvjXoBwBgNj^RkuQXE&?Q9*Wm&)%r#;
zG{r+IfhB5(f5;URd`qVu$f6Y!W2#rR@AD0Zcll$`N79QWOZqWAtCC;41>I~;3EhRu
z{*w=%&Q)qU@s3b$oMaG0?;F@O;Fqvqv;JX^YfFI_j;&6{2Ir3(Bc-o84r@UZDo)ZH
z;=h<Y841<#+=w7h{HnC2C(5%PXWOmPdU`c((tPvqjtZAG&{}<o`i*mMrqR(iD3&47
zWO-s(VBU<eEnOk^{#V<y$JAc7Ccr{z%_j50j|z<6PDp?Ahv@6K0V~HI%-dNrWrN=w
zQ`H~`ZQ--H=|-&nK$jL1ezdy_E#Yq1sjk_x{!B8HE!Km&X54RDOS*9U=Im8#d`;w?
zf&qNXD~3+MU4W&HV36Kvg8M>}@$pO!CdCAV2w?3xU9h=@=GD%H8`Nt%FEeWKiD;^H
z56pPwP=*fMK+|ayYSMg|R-<_*<M5MnK(@~8$yr-k>fx3+f|AlXZ>^Ph8Q+vzv~8xZ
zZ>n2W&obqbNq&K$t3k@T)3CY?=>ET(v-XsXdU@(&ybp{7I-5O9_1fExB)@ZAK;X{R
zpMBUdrLO73gr^`hD{q)EcSPTwO|qw4`8aN6`TdyBTcrt!@vDgMCP(;}R{cdf*X62x
z;d}|l#zTlO-NKKkczOE<_jKqE%19sgohWy{)*s3|F`ha+zAo+e!=B~jhL6%?yTVJn
zbkFbssS7f>7%gzniN<8r5?Tk!5gPCem7Zru)TS>0oy@r<1(VDu5CS+9E>6D22Jb;&
zkh55D&7Wn%m~8;OkDUF7zXbrm2W2YAzsYaRH8gG=OS1;6h=<ku_(I&vrN~?i-;%#1
zkZ}*$(2F8|LU_2^_9+)J;o38*52E8$TbKPI%k*3Lq3#^=NV`im4jjD0s`JdkIZgs}
z>uo+^7SyU3BNh7=@x%;vOCJA4dkVU{){*Hi`tXj>Yj>Y2<4kKU{Otabh{#&tA4jUQ
z5>g{F6Z}Oq`s`>8`G{D!xzREy>W9K!q+Dlpd@m!m&t<qpcpX^U$F#D43Y-rFK6t*d
z774vos%YjMDn*1NQV--)SnRnq?n-zo+dr+eviyEi$VuiYp)=vIIHcrKpNxO$6-Jf@
z`QZPIvGJc+snw(dbuBMbkGQ7O(tne93kTU!D~p3poCmA-)S7}`>_d+Me!^JSz`4br
z=T5hg9h!abO+K%!Z77&%ZB?g2%=a8@1iAFzn||nFI75an(dFU6uhbL_{1eNUTdeLz
zuF^Hrbu}Qp)xPD$n%gqQ0~=Yj_hE9HMW0*cprchRGhpu#Ec$f8LO(1?fe78f|3w+E
zobOk>aH!a7X($`BzL_>Ee-|MElBo?cmL)x+>yuBYely%rT_{pweRd$aV#if_?lB|q
z*14KQ5mrvr$j)%vg!H;-`fW18#H`8Zd^GianVq#6VKY;%C%GyFW_E>Ub_6STh^1XI
z^>WaC!r|culmsEY={zEwGo&Wu{puX~@U8Ap-wus%#w@D;<-Y(yK)%0_oN-=hS#H95
zlt6!+p;1OGW4R&mJsU>aCLQ5@Mdw%Ae}M8P`%XNWQU!OQ>ZpEWX0qa{BZr@l32TrI
z!|vI30hlhvUsB6zqCRR!@08#lOqI(`J|iO&4`<s%>(FHl^qUr$gcA%-fx`08P}eP{
zI*_{TugURd%q3s2tB!0S$jH0T*LR)$V=*#!mK-f?UYSNFR=J@{k2x%3v}!}{*<VwW
zC#$@`Ba;snJ0uU-pUt^N2{ZwFEOml{H)~>=-rD-sQQEp%Ru(h5c?yk7D>(fV`RLs{
zO5)x7Im2^xF)cq0m9|jg{vQ)fuDT88y*1Vs@;wCA;Ll4H-q5f!PEs*}g}2n3<mHkU
zXNastbuj*EQ}wsn4H#5~^2>%YE%$WZ9f>fvlZ$LziEuHU=^2l5c%==xpRXk+jh$~=
z<WYOy{asGpbzD{UgM3wCup0}fRcvjzq@{DtmL6lEZ?M}}*A&jM{)n(+-OQ?NU!j50
zI0d#&m|ZfGmWYL1=NUIG&Kiy=sKOD)?E4^D=Kg7*fM+nPuLMfi3lbEH^FRL(5trZe
z_lYB<E`J>LIQ(F7DY}?#`$uBy{224h*K5<k0_^#VtX+dC5lz`_d4Q!Hqoww4175x1
zpksPas#IwmtKa*VH1D$X{T?WER(<w6w3og%tEf(MXS{#28OBb52zVvOV;5Q~wRT%k
ztqsH98=JRCdBuifOOPvZvrSk}e9*O#CGw|D*x#a=^T|mGGa5pp6+&FI$mz!24y!p^
zc&63<P1AfNd_-5;amsDM5b<UfkJ!ljV6<|SGRhdnv_^R(*_$fSit1^k+q#HVwXd}|
z2&MH1ew#a^Dy(z5QO~-vobky8WH<(q_q5H6w<oJh52m;O(3zXrupGhQUk)chdIx;$
zT%q*$_1s_f@n(tPZH52kRdvUe{~&_p%(Dx<J!W}@R*7N9I5sC}&Hh;wF(Nmrm0YVQ
zTe4tzzwA*y*k}|C#t2H%9%-t>9>(BJ`=VL<sf&_XB`LqZ;ocY}j^tT_H$uAn&vXOl
zTxCrgjK?*|=WI~Nh-9i~q$}jhrp>w(g}&L|Kgb)A0E>yw)o@US;afY*;N2@^@$tV;
za|a`YxTCR?lW&Q?3CW$?fCS;3JF1jtVr_D1tab5FF;Xc8TKjARECe$;tJ)0fL*8Bi
zvOGv!$kCWdFA&nId895Hmpb3ix&EAFWxY@95I<H;GoH9&6?OPE#I@+O;zs9Z)i$}4
zmhu&z>ox#l@RV@hL7$vy<2@!$oN*gC5@D5iR+oL9VRsYy2QXe(K?Zl_WRZXUC4Mz-
z{UCzMSxHz$h|mykVxL2`3vpWaUVhS6x~Rkh*K<-Wz-HX&J2*&@RO@LXY29}Y49nV+
zr8BO^T7}~`n{;VIEO2XT;9$dU-2T)Uhk!w%L^6{GFDDul(%}it6HBrR!VMRLo=?7c
zKhHhbKqJB(RPRPE_!(fTtV8o&XP3%?qi<6Ll+nZ0Sy!VO{QJ?>x=?ziLaGZn73|Og
zrzqyPp5V(TRE@V4n{CY7OZv}<lD7uqxrX)=qxq{6p!`pXit+VuZ+q9yVNh|6^wko=
z%5(VrCC@rHv+b0d>fBvvSM3wS*=3ydWcj8`o7@5SNSfjUMnE060SBtO<INR{{s7E<
z7C)X)I~ZJ~N)r&lUwqdy8j(rt9XL<dW{=OLN?A$Df^7hu8ZVgALFlNsZq^r)SKTAk
zv}ckd4~pck5{btj?Td`$1-!dDJ}erW8e_22mKHhGTY^be!h8=xN;6#5kXaH?Y|#H}
zK+8gZ!;`8-$L7{BEm3<inw3N9+N2{lw*gbK56p0%{Mc{#ELk6EwDFiEj8w=$IKjKk
z;%&hE1lJ2FP-?TuiC8IP#U6{_G%je26cy{NR&V?J*V}*#ZRM+<aXJfGdV&M@+Rh_`
za4Qu8k)>Tt7|<J8!2UNUw*j9V=Sx>N<vi5fs?w6h;+AoCs0ybmYaRSOxcO^bFE2_E
zh$cQVwrK90kXVB(TNGM^#1KazP0s5)VRlgp!V|ZHa*%(_@Ql(oNvX)8SQn^?5=spY
zjUUQ?a~W%%4cP|7DydrcTQ)3x$?Xw3i%XOC-(rHaEYz$9i#zgIri_9Wa6u@GF2_Fi
z9iY#2gmYP1Y{~DzxY&1|i(me+;alI{#N<ODn4MrQc^lCA;%tkN#a`S7ROV#(fHyI_
zX1x`w>#p_FEdH7n<H?#R;TY02KneaYQQLr^;DssF-coO|Yddxza~psv4YWdtKxIj*
z71K+H4H^f(O&vO78aZh!>+E}Tdm8|>1}Wc>{;=%TjSU-quniD-zQZNeR2ZWq4h?Yx
zweA5MWLV`GP~&sj0wb<+iZm}z^*k@#2DqoLd`H7C2-is;R`O9W$o2j5q;FW_jYS6&
zkcn%{npQ5+FGmG2LGm3W{f_H(enKKuX9NGDS^21<r+rAf&IcZ7u#~cfp?5!9$VkOm
z|2*EGSV@(#8qv~L2Xrv}v|6ud>q@)U({j_1+2<bnoLXqJXFN3oSm<IwYxQhf50V5Z
z#HDm(*sA#>K5p6cQiq3O8<1&Z|5<a$M4l>YbSV+qA)4%{2A`!iGH#j=He+(jk%it&
zOa?d4#pA-1HrUYvV&k?A*fopqAJX9&3o|)eJ4>>WIJaulyFJ@kKYR>U){G=p&*kv_
zbL_>j4M-ihE^VO-YWw-HMKPvSNbtz2Zg;)Y2rVA(7t_~UJzby7<n{k%`WdPD_rer$
zxqlFKv2J4E6ZsZ?t{A@!I3K$WP>~plEP0YW=@Gsl8{4_#g!VtQpTcjlQ0w5^-I(01
z&VOY+IxNxu+u%0ftrgVx5`XawOLMbk8}QnbVYut=P^r{Q-nK#;tf!5I-~H2%nj`p1
z{KL_X6vNH~ySM(0ybb8JST%k>&w7`)aTB@?xa}q}e8k01nEo2mwX+$v9RBgGAe59;
zsfaK<v_XU4-KpF(9L1!LSxU8rtCS_2q``P`$00XDc3vnPbB-d(nfO4L8@s+%ZK%~6
z`OP3hMT?ZN4alWrxHOoI>O+#Ot7W(>6!a`&wmaiwv`8?~Fz7(GB(d4_Oe&Nna6rw(
zDcMx$@}#5vTL3l@+id0Vdz+ZP1O%Uoo-uqqI^VwUBbRKU%=nBKaQL0Nf}EUU06TRf
zBeCU8>IU1AB>Kc!)eSOvb-t(dZBop1-LtvZ6T_6;LF?Y@f_^uu$fNJFaX%u)UcH(y
zS80%)R<1f*S5pqv4JanNAjc^LgzwK|{f#X*9qe-@=Am+RH!}QsgP_Dxk9kr`>kkyx
zg-IS&>4F71to^GS)zz$T)~h0&+g(VFE~Vspy~}(w()nFt%2-d~o&m!ZGX5beroP1N
zQ3z09dF}p8QtQR00Q=DLXN-wJygXs_>l?rPchHFcJu`{mpJ8uo9-(uU(6)5f=@Ynx
zK4A{&a4-LkUAVB78PSe9Q*Uvw5i^l0YNH0JyAe*)S4XRXz9~6wfhdHCEp}R3j&52I
z&t<ME^1y^q${3Y;PZ{0|dD|1VnF%c1g(_{|2J9cM9t&U3?S?K{(Gp}!H}t;#8(&OL
z3uc#97aV;b$0uk|%FIW?k)8zI;WOp=b*I9&I@HHJIybfk?QK$9F$hpdGQ0oRo^|5W
zl^sYG5+6IeW$owXvW0lmVmM+Uucfc0b^8@N#I^2*Gq6^UXu%8hrsr?GXQ>`oM0kjO
zXn~Mw65i_*V*j_UA4TXkAS+4IzhQc2_~={iyX&{>Th0#Rul>huv;UXv_pGohDC3rH
za0r$T_cr_E>g+E2KA@nXbVRt&Mo4dXtF6$$J*ETrxrHq)&$rM-eQe-&T=#0pW0$)6
zcAHkk#A}&5l%qgjft|>je>imW4?OY@qgC<97^;~JGrwu)9LTtE>cLWRhnV~7`rE<p
zpBI)cEkigzPxqT9nLhe0%E7dIAn`n^c=Fq=2FRV;O#gPoq=OCSOl$p?^RF~_u+`u~
zKv5SzXuWl_U0f$An8g3gM;(D#xsmJy(kHo`8Co)Qk`pei8iWQpmdS_@X57yeH5_=6
zaDi#<#-);uH#jaBd9|$pJVPT+2}b~V6m({t2k)emT|lo(ygq0mOd%~0FGIsvdumZQ
z!2kDJ?UQ26K^N-v=Ph~Wm_zo`vVE9zZh=atnd98sfuSmS9BFYA4dCT~F1deH!t=;@
zb5e0c;T@{oN90j|mtX7BL(d#5;!-Gx$))vHB!-DyP_N>~Zcn^TYM*(C95&Xcw*NLp
z8!KM+vJ9-{l)~kH>kpb6j{R^~=^bj|2B6Q+3JET44zan{TsZh0zHsnWRoHA%ac<eD
z_kNaK{G&9Nu*)Mb@Z7_8(w@68#?XtjP{qn(KPta+W`gl!uQ4~X8%sC9-?DN$s>Olu
zM_KjJ$NU;ykt_DL+RgET*w>UIwU#-RrQfI;wox>?sp)63k|oeI=*ME_MR^G<cAuvP
zWwHe|51+JTNrJfc7T^x!XVtdllma)+3bb&34QHD_M{^6vkx#-2Q)AQ5#Y4_8@$z-<
z#dSiZ0p_H>=<Mh_Wc;gy=aKCiI&)SxAeG2?Wa57K-g-2TDj;z4f*j^m*xa$LT2}1-
zjbqK4+wVmW#bCG@Iw0Mhdq=SJDGS9tFi-8H94By=v`yCw4HQ4<@(F&q3ihI<D8*a0
zCG7L{y0paFEp}u6INR}lNdk;_7P_n0_!?JS5^a)?_EE2~i5Le{P^3rXa-lGgz%H$v
zGJ4}{Ti5+VIt*8TUscq|QRReQDW|2*OtDpaycOXWyj0hTy<ekdu&2T6MTug&`NrE!
z=jxf9Cfw?NZc114mrda)4hoSJaug?sALEwnBt4I3{}Gu1`~h<8`Pvj4ZVl{B!PL8t
z_1V3An}7<jm#~T;2=mZ_%_^){Cx(ye`1a#4`rEOF35wfB8)nK}f>TYsadY&$%_~N;
zYx^oYzZGu9E--V|YsUSbX5%5#VSQS>uUGKWoovHNl_TTOX!*lq3r>9j1MZ!tDI#j_
z{N_Ve<tB+o-W|rTO6AAB?;GRqDNW54uzdo4OSio`^Qbqor|iDW2tMJjAJEZ7QiNhl
zh>&gxcVf!i)}4`vbaD4387fqE{;17F+wK$tgkq`l7mvN>-vrV_*XiUPu3>NaY^GsM
zO8zPBb`RJbO7*W#ezpy8nPfI~LWE$j^V}V5bLy0fM6r~n#~<sx!Eu&uh;@~1s!mQB
zznI<St=yngXSuylnpG(*IPZ0*=3S)imH|ubSb2O+VmrJqR#St{4M%GlVCZ0IR+PXr
z(IeX_F}i|48$2=6ZEH|$1G>-6VUKS}@3T6o!=52~x@X0!hy1%-Li<g{j6%hs^w`1J
z1>vd+s?=I9H>J2CDe(79Mk2j%2&f9y0ExuqLFSt-<a{ASy(&*~wjMK=YxV_y%qhcj
zl_YwjVYR{n*yMS=_pOTJr*eRETOA+Cx~c=}y)p3^1BmMEqVImz_o)GifoSXQ7fH$R
zsVsZf-kJN7<t^bYKTGgZ!;u4qC$hdgC;t@jB-VNK@Pk4haC~(H9+<aJe0h?QT`*V3
z(bsfpA)8xM($hNpMR!Q^RsuD?s6y*lG0Cs9vV17yF#4dm?I~j#a`<_p#Fr5Nz!sDE
zNHev=w}of(i@ND|Nh#u|TNzw`NN`j3WzmpnI0|Xxa-E$gUpS>^2>KU|4JcPb{6w~J
zYGj&yh^D5i*9O!@9TU_=4#;vF;B6n?y$#@Y1VwA?P1AcjzW#UqeCX^`i=>5ON81rA
zQ?qrYmkAZyU6be}(lY`QHNiDfl*o3fI+u#%p<%Bo)jd@<?&#LW%ThN>Z&>lrysLhc
zU-xq9&GabOI<efvY0S|BtU;R5&M$+m0!{rgX@1W($jb>)^lo4nSr(U1Zgg@=5Ve>>
zLq;pejdAjm9QQv9-!?bQ8%~S58`%qYifiBcS9o?I*@=tHK*&$^e&9RL6dqZv5up!}
z#H|VE#Cb(Sf#gU?F5X7m^5B_l7#(Oa-E{$3{*Oar0N~&@z&2h6zN#q>u}M)x{i<LM
z8GRY|;gq0cdMoY#;<TE9UWtPO5BzX<k|s=r(jcAR#Tx6^j#!=>(w91dx^swMjl19c
zfqPk$Iy<k4xZ6&Cm$~Xx72T$c55kv@G6gDjp}ZrJMC-O$1{P*-nxFn4Qs({3*b=d7
zCO0nxAy4hX?QIMy5ubb)fbHhRuey*N0=jZkt18$sJ4wizjy~V@zXpi@`wZvb>oYLm
z<C9fEdTsr5e`v-+nLiX-BpBuKRWMuUK<oN!8JXdN^uBV$qm1xXT*`P?%mgFT(>~%`
zZbFEn@U)bYYCylr*k|PU=ia#a$?=!p^}FjiA&FyCGG<j(R$;&?-v@3<!4^5tk4vqy
zcBP(2RyxmeNM=aO&tG@JE?pQLiJe%;y?MX9e?Vnx=TvonE)DCP(06HFZ}Y$*RDC*m
zQp66AE-K@d-Ypg0Z_Va3UlAws?4iwkA?_ITXROof$+0<^FfxmtSFxl!&-$pbkgK-6
zygYZC@cUZj82w@9QEwMF592n#!DyF5%8Eq<e;5<9ev|}j`s+U*{c>}0tMHaA>FinH
z;OdNY<78$&w=@P-cA}S;jJWm)>Nwa3K9c?2bHBN+93DbcR^F76_1N9Zqb2VL=^5t?
z+fbAbZcx_jKICCKZ*_&yzo=++1b*{iYdtX$qrqlVVV0?LY*T@ew6d~Zp4&MRFyOg)
zMOx9{rwDy05Yzyn;SLcIQT2feYA5(Gx~sGodYlr@^IVUvpO!mSo$kvNKpE}!KSG;L
zm>n?s+k_OX-x4z%sj_kqmu+lLHAi}vD_a?EBN|y;s{;}5Xjk|)Wr7I|JZlcl`obq1
zX&Q;;A`gd$V>0XaT7jS+6N#<vGeV(|<L`Ph`cWp?X|@h=*$1Qd!5U-dM|LpiNdl#M
z?)I{qAwBLtJMI3TDX8uKYmC0(5tF#y4l?y}d(xNW!=tXOL3q!R@P04dJh`o_qm6P8
zEkY)?J=5|>QFiCwpPfN_MaW@sgUZ|@qsb>OBczpdbs5^{U36xA;!Y$l0#>%fzNd``
zE5<g{ns<_-A5!@YUvwj&NpZnf2NhbGgN7~b1zxZpYIKV-Cj9K~Zr5c~-9RN~8u){D
zaY5Karq1Au2Rr?R_b5#kRz+<0#+ysxJFIMSOB&{5aiBZWS!BEa^S(Z{MO!_*&p99^
z$Q#pT2Xh^>E-{I#6dgtUy(_?W)zrG_QfQxRMZTe!ZR13wkv=0XE$$Us+K-rk$7{~_
zq-HTD_fbA4m&9}%qk)Yp7Y04D^_n?06c1W>_NAU*KmAAkCd+QP%iCW_vPUA8#t73i
z{xWjKT~w8pFpx#w3F8lO@gj8N6<JIYaPd)xvS}-;FD6+QGiN_y;r*%cV8bD<060(L
zNupy^TPTUFJgmA;p|dJX%@_5*V5r#5Ma3z(LoYVf>Re}X26Z5_rsznGGk4*3vBcyD
zT|}VwHUORD-;4i*lO$<bigjRflAdlznzFMggm!vw^vF`P^PWuNCbyG4U+<qzs6Q%r
z;<bPQhQr=IIQ3|{7%d8MYC@T(nH9?uW2+%gnMCCQH9eP7_?&8L;yy+6Thlq^=*Oj>
zI1s?cDKJv~UHtm$)op-zM3_S0XwjyO?zakEpY2YCcjJZ<qDtvV>%}nn7UsAO@TaB#
z0pyqe*!O;#>qu+R7H<RSZQj=RtJLenb4A0`6>{||vIf(#u|w~0ue`@<y=!9o-Bg<W
z6CRQEcJvqPo+Ps>>-&11eM37T3jbEJOJ<C${Q13Jw|m`D)a{uPa6P8JjQ_zBBr2uF
zD(Yan_c_R8nnLdbZ}!6ZK?mDp#@&fgK<hdO@tDDIciGw!G``jID7X0TR>miR@?@=p
z35-s8j*Pk+&sgYA$;MlzWE<z3cEw)m{IsY2;tOh~bDqA|rnpuGCurud9<y$hf(7kX
z)>D;g!T#bZ8ZKDKpvLeJzH^*IPw@Fo=jFL-@Y9lpP(%A`t6!6iUWV!0Z|q;CjMr05
zoi$=-1pJl#Rsel@-f5#(Bk2kIQ{R;VUGJksuXyi<PT-iTM1U;pv#1HkJLieRSTvW}
zvafTJ4E61xxcE1m4G{*jj266VmFKL{*n)FUI#3TP#|oGBnckx>((Qlc#;t@aoo7r!
zh2#A$6%2uirIDh%D1R$M2}I(N(J8jIw@}D*D8grx`b!xUUSpV^m5Zka%y|Jfl=mz2
zFyHiTzyp>`Kon@-tuUf+)rI?OWMU~%s1qsm)^C0_c5qBfMQVrP96~Oo)`oPU!!I1u
z7Qk$jRovc+{eFpw2#*K(`$+H9)Vvy#QHq4rnQ-ixhByjgQH33?49TCtLYBHrLgg11
zX>Cc5v~tv{ZESGR#IaXG?UsX7iwdht402xZ`nGAlx35AFb@+9^v`|%cA$G0%>X4@j
z-W8J5Oq$E?jPh=t-Uh%|=8G~(4J<-+u>P!qa8}L=O^<=2e%*pq-(D3@Szo;_#dP|s
zD<Ks_q%L0pl;@!hel@bC|5oT$A13e~hFqF$zY(FQe}9kvxW=ymWd$21(t6A)3UPg`
z{Uau(R<M$_&JI<-cnDTb;))d#IsUzdN`_p@RYb=Ao=JL|Q+#*fH;s>)xT*Kv+i8S`
zYy-?l^&5ukkLDxET!%M1@Nlq7c#5Bm_~?{SMG$y3X2X|^9%e>F!irQZCHsZgAfcSk
z8ygcdDe;AnFM`A{-$nV=G6*@>BlBp6drQ6gA$l8-GMG{kV{^1sQ7MQ)LPH#&;jM(P
zwgCsCOYX0QI2VU}&(Dj6#Sn9~YwzIsimKUuf7-ennyn3rVMe)-yU<zM^naw%J<^fp
zD#=3johaB}Z&O0jiBoCa9wmJ-6Uy(3bzK3o-3>PTpdl@diI&U$6SYyNprS%rx;1d5
z+w1q?2{$IHV74(_JAhhUMqH<5uA2CVrH<J^p^JUx%LobMj$M3tD3h;i__i`=@=X8C
zaLuLK(P<D{^@(MC^S*O`h|)MXC0162E{t!UR%UJk?u?GtN1Qbt(VUlUM3q(@(SGzW
zCy6@KkykppA)fHMC?i7PAgBJ-_3EgxfVc34*g;)e_DYa=%$k78w7*r_ugM<emGy9-
zRwrCUT!zB?>6(W}+m2re=iHAyKBW&XTuKD}_?+P+c1ZFl)k+!30SivEtnNHV4C#V}
zd3o42U_i*lDDX~y+y;;gAr4HrO?nl%|MC8p<+SsSPG{baX<0QjRhN^5$G5m&|09rb
zIz9x|T0(@_4{#eJ&5{jHJ;M8n=?i7W(ax>5qtm);v)WwAF0@G9wb+l~XD6PxIkF}B
z>$D7Zg)U2)2KJAgBdKN1iQNu^qDtt5gIPtjP^tz}=;VT-8NWGhDU$F)={^sH3K?~c
zxlz=FsP`y5+NPEKFs5|}mhYf)(Y4q=@&{nNlF_5D`hsJ|aU9?A|Mdxq{~fjuTT_EP
zaVV4Fax!7*P2IED2@#L*@gCPkOL>W7Vr#Q!It5=P9wFnotiemvC7{Eo+cO2REX9d?
zJ~ePJlRDp61+HsbHaO*sRE2a#2nX#09wsB;_3k43(%9H2VL8<l)N=M4e}T}s<?E%S
z#y1`32#n+Wbypf)$4iD2wJw`!J{UyYl7Q<XM&|^1rVK~d=#^3BT@?S})9#$ned+~7
z_iMu+D>2ly@@Ikj8kbI(PSVm2J=q52x9LY$&knIc`CLD!d3HB2@5Xf*EAVvo;5Y7s
z$L)KGlqH>yzp|PhFOS>VboA$n2kRrV8OupZ!Z=we-~w+YrgKY7FWdW(s|~*I6uWFt
zoxn7$IpWJf+uKrCM-Z%VW+S6*1r$Q{KP+mKTDcn@B9kN`{tU)wm5U$D5z3>KZg!Ke
zm;ZCT`=_#y49Z7C9c?Y^lWq=ldK{aRa@cj}7jf4+%^7!2rfi+2-QeYP2}|yY4{y+)
z__rg@KDrpTzQCpwXj|qvH$OfMbBt(5MPyUq94kowy-iw3`Lc-%T^?75um)M5$U-%B
z+@!dqB^xV!5>h_vM<xZ2cugZ<=b}b6Jc=N<!iy!+jT;e~!tjo4igG^u#@Hn0nk?zD
z>WITx!`I3;TQQ7g?7r`%YDz>^hEmBXYjoS=Z9d*_b()saq4duti&8J_8R7bO?yIk_
zFK*rIWtn(5H+OtF4+?>pokYB0UsTk4x~7EC*q43d3WDfl^s9+O{%S(nB<6U_qbyQX
zW{A7r!|W)6kRRn;q1HMq4<^BC=28bG&I8DB426`HWs4rj323llg7$p2UL|ZP)uxJP
zKc#;5?7#Hjf9awGu35-!t<StjiJ&84`#18e8yN{>8*5Aqq}2n`B`W14h)TC)PN)aF
zZELaCdB<DU&Mt2G#t58|#bt|HEB6=)e@%NzF3Z#zOvp1{dX(Ro>`p{zMPYr=UF^~J
zp}S*sUV*bmZGTi*?{~UIntq#+_W^~fP&%!w>u;#q_Yh$wNgE8pnm^|5i1?|(ByIug
zEzNoNt(LiYG2>&`Rg=x?2*?@2zLhxAOu>ypPLjYcCuc0;PcqX<_MdJzTOt;kN}10#
zTIt=)+Sg0OVy>7v`NTcz=TWu`y`Fk{LQt<}Fc7#1M*n4))>z0g88ra;Atf(V`}g;Y
zl%h7e+un#yCy=ug8`rNXfYNfZ=Qw`Z*vL*y(}6k^G)VQn@*3sm6MziMFANziuN1X5
z@sLp8_@9oIZ3uqJ8C3SClXjOJuSYMA2`JW#coM60(NYunL@ti$UgziW8pm5gThNJ<
z5n%P8?V~>EOjP6Re%oP;yU8}-hv|5s!P$(cp{=FmxCPp@NHlH6kgBL)*kPfq!fZ8E
z!64!D-tog+t0vd50mGJIKTs8c_*<ek3}EPO(%~C3r*4cEDJNer`tv4Oyj6d1*f)27
z>^mR?m7=~6>$9z6iFt|F@d9G!>_h5^RcYFxl->a->XA0;?Bm)KzG97Lhk-gwVYdN!
zR!}T+%y@X?jjH5VxI;#Jq}aEf;efJ!uCm?zD#Z<fs;HDWMj~WF1gMHRkV#r!2}*4i
zYMNuU7t+N8E#kxFc~bYAKP)sZ_9#6e_F=^a&C0ppEE<k^g;Mnehk#Qz8DV43uKni~
zWERi}ymhz9kq&qCU4@lL__)h48W=a-0%!F?m*iW}#Tlq*L;1@le#YyF;E;pD8~>X|
z6r)*}o0eI1pUURkS5wLexNU&-t68&Z<JP}E3RvT&<^pA<emR`W%ineR#xaT80N}4B
zQWpM5eClB}1!o|OBv)}&Sg&7a3;`QVyH(CQ_F6BWQ>2)N4oE9`pmsV|UbGDe**E0M
z>JeeOL@(*pi}&B3j=SD4-(bNlz;6tGDvysZmRDZD)joe2O(<Wl5@g-!FSE_nX7|23
zACGT-uoY9Hu-qjKwZVU~G!`6W=N-zjWG8zT2_<MWQ%ye>-I8Q@5=XX&H7v5pyJC&K
zfmgJjXgC6Q#G~X_tcOtzLHMkt#dcGL6a950s1z}|__ijp=1a=XyF%Izd5<dAwz`bA
z4Ol40*&kP%j6SW?b$XfI{5XteSe7rZXK|#k83rD>ejD*YnBewCkTWrM($;WuX&a#5
z2FO^3zib0^`MOU=w*lI1fB?Vs>o#E1{5P{2SHdNu`!-;?LT4Pj|LRyh7Q(d(!-8j3
zKxJrs!#8p7qzbupge3NUJvbHVLa;spp(DJEjpx><caK3qN5o_$qal}*<k7H&E@0)A
zp?y0klpG~-NMr>0V=c*H<$wP@Ea_o>n7W@Vb1a?mNsEkMvUT&ztgh5`2UmUkfMV@J
zKjZrDa5@JH<@R|}a)XQ}`1+PGqWv%n+?IHECxg0Hy~`@R!2g_J3#1+(l=nyIn**k(
zB`khBba)%E@cP4+>KW1Mu47+r0|=EuT2lzsj2wNGe*1P)$k81;HcK_GOtbDem(92q
z<H5GpJVghFSQ=;y*L7%=!!~f*b<QFbx-Z-yE8F{|v{arD)hZW#dmf(h+ACm4kZ7#R
zFxv*i3I+JLu&dYkFV}FA0i7r0m^sleUy)zVCh)yav?C8p^h;qCR=`m!_o}wGD4Mi&
z%aqvfeURSXC}r$_8D)b&q(uH3fnnKB;L?2Nm`uOx40>@pWpBVCZn7TcRa<puA=?n;
zcMjAS5IJy~Ul8NLP7MK?tJejr(i3g^Q?rawzhQ~f)156z#aXE4?flxRSj1yr-1iSZ
zx)Zeqe0qB~|E9aS{AUB)`SlL9xPmcOrIk?oLXbIcagVuGS%n4soazXmJ;DgeXT%$X
zd&>IB7-4m1PCfm0Me+U-qkS6sz^;)kj~dgF&2n;fai%>1nraLNJ02^)-JEB4YfMpZ
zAEZf*=|}BxP0iNUIptHz#a<zQT8zyX;ekU9e?Ou5R17N=ENGbL@+2I$)7k)s8q24>
zKBDAzv#m#XHlsAi@n{7mOF`N#WEc<r#mja+Q@OE{R6S2|S<F3#2l=f>1$*Zx;`Ax#
zAyZQnJdIH8OgJGj%72?@)pXL$-3GJXZUchbqH6Q2F~F#qp5d;=1vNF}<41vkHPiiG
z%djlOuGExtI@#OxNz%xwy}8i6Pmve85dG)Ga$<=vx*EI;|Npbl^@9>zuPV=Ww4~V`
zvWx62*~hwkomXg`G-P#v{}STx5TOE-6qB6wOf1JQx8a`0oC*T|gBUHY?Ea{Ca&py6
z9&sqs?L^IN_X3THIpi&d)G-B(yWj7$`@$SjVu^KK2{%bPy}a^tK6jyGj7)d!CSwDw
zzh~!;F}kTeij)8>uV9iU)FMBt<P;}{J;a>}z+w)Uryvq$ddTD-9&qwtFw2u~dWxx1
z{~cIGPLXm#<z{vE;lg8bU~)x;ZteE%<*}C^{!?YC{Z-+#CeeGXofu)o`>hxg6BGN7
zt@vcL2Jw4(QnRPNZ<J-)f<hF}(qtYHEIXpGAovsOTCjMrdp#h21=<r;N{2g!Ya!hq
zZFvc;9*HWph9|ayYgf-Oy$hsjWE7;dN5ZvGfsPmUjXPZ@9JxMAw;`I5_9*jEpLDyF
z^X@Jt8k=4~K5fOI%BmkmV#*$4NPk&POy8{A3U%wAI^<Ohe!6KhG~D&sfQHxDa*;H7
zgib-jg~Q4oZK^hLxc#?be4Uq<v;&O-y1kSqs?I`?V>(oD>JT(hP4f@j=Nx4-?ppJe
zHi{-3-C8aX+|oX~)_fwPJ*6wwx+fl?m<l1Xtbc7Rc3NIah;FuUm09CPn|#qCTvLUE
zc(a>=DWl5~U;Jst1nk^p3=Q^(r6H{u8o>XwIN}F0B-qD7`!^HM3*q}N%1g{K>Ab?@
zu?q-Hj(viNHJ`8z7}@-wW<9E8D}xK063HCx&7&0Aygn(n=Y}$W^^n)#F~>WLUx4}d
z2l$h#>-omUG=;)NMr17$_aQ*-LjJ2@;w;q{Uob|P|80RGP-`cO71~)|TsUvE#je%$
z{-Yc0iW{_37p2`Xvkf}nl?~L@88TYE=!zA8lx17wuNl@m`fsIkQ3cxT?00-kiZ6Q9
z5;dkz6uNB#{M<a-9tsxQhr7lO4eIWOZ8cb1mZrBV3|<fEyb}82I*c_GkZ51+qgH@-
zogpF?j+aPPq=(e-w)W1nZo3wQ1_FJug)Wt@E>3m{C!Ua78VL+k<J5RV{7;jGODm-d
zdid=nZ_|79g`-Zg_1qlgd9qaM_Z_Elf;zX=sO!2<HsWnx;ceV+)KTZ_PQknU!^@hY
zO7jg4(5%95N?zs0zqa6`Q5$)??!6a{JA9Cq=>S@O7uVN{#xLI31{~$V^BIUUz1x7q
z*<Ak{OtYn~qEfHVXEqjDff>Mv^e!JQ<P(z-UBzj1FZK-g$t&FJ`oxS?1vDzwkga2Z
zYQ3K-Qo^KO=cH}}=@kV_DqsIM><xqW8Scwu-NDQjA3ok5YH^*Q5PQa-Kbo>&;~Da&
zK_@R8+YvPaew>&!Dn1qCw(m!o@z<uTs#qDZq1Zbb1ci?*(w~$ZfB3+-;yf&@!kVvd
z{ZR$~_zqfiz(=(T*7ROLR!{9}-{)Sctx!m$&T`0cgwd|&(l+4RM+PTn_M-Lzwafp8
zoV;hXSOpgp2a3fk$eJcKC&1SFSefnKdq8W`OASE6|7h>dqtZ;%1%XqyI#stSmDG5R
zODa)sB^51Wsbz>7HAr_?5)(J7wBm+JMWe=`5_d&~zMaKHjdbEJD&20x1&L9_6*^HQ
z?okvJ6{5ri5fNErXRMk2WA5oQch1b*Ieq3Fe}A)l-^=&D&-1+B$NOFr7mbm!EiY?y
zHH;{Mf0h^eM9lQk-0~n;%*L8_B|_8}ZVmAD0B+9nB9qra*v50SfIt6-*YiJ}!t!?v
zn=TUQ$xGolYdlJ_EnF!mDr8u2ei;*Eq2Hycl7AV=w?)nMTmCi@I5Uv^Zh24YYzy*v
z9oY$y0-K!(Zmx=~gQDWgA34+6hCvl=X5qi@aZL211a!r91*wu}Yd)@Ct}#jK%W<5Y
zZ!DQ&<or;0(d8uNx+><{f~~2`cP{QNw<wL?6&E7JV{xWUcRL;7O-K)XFB!5M_5)3j
zWGVp0og@U)$@ok?;OWc~?IL?_j6)J#N@CiIp)@|HC4@T(=DK#=$j8?&KV)R5KQ;cT
zVCvMC^Y0+Iqh$0?t}$k{F^|@rZ0@&YEZ@OYiZ!%8_};uYV1W0@noWDAoFo%ighvfF
zXn)J6v{J%+%vyUxCkX^h7QQDNI4tQ6P8^!_jOIxeC&hVZa>jd^^RI8H5YKI;#e$Rc
z9S3H9sO1Q2F9EwhopuoDj(D^oBL>1|mdKwPx0w+N46siZI>(`qk~vb^C1LqM7T1DA
z$~WnWOE&I06;+Q)?Y6V`1A(@(WHFv%P3c5@ehI6~*S>~HewuVwk{w?MeMWm;@|XY`
zCp~S=5STUHk38WqceL*-iSE9tPB@+w=CT!kSpZVsVhDV}r<r25+c0<$nS4Vjbc0Sy
z^?>B)(T>wT?Sh8of3d6Q8bc_5{>RSq{0IIicP{)d_o^M*^Ya><dN_@XkDnedUrE&2
zmrlV0M=PAHA<JS_4Y;4eTyAIW%0{rqfWtO(5ta!iaSLMj>KHE436yObo88l~K9G2e
zmT#6VDzgkN&5LZXF@%RR^ZeRn^4o4<ITJF}aKhOc;djuC#1E8XJH2ZTQFtHmK5_VN
zVo8_F$OK|_?@2>qWLI^(ki%$iDNSPVzPuu{g09iuBC$Q*r*9%cRXHEM*^a`S<i%d>
zvPsrFa`U&hZ}$ouop)gOri__q5JR2ET3Mu2$CT8Ud_H_-c8*ma!D2FL-lpI4TGR3(
z1`A0I))oyB6wrp|{i_QVLURq`L03wlL@+rD_CjXTQg%4u@Z?B%lPeLfJ2k5r8je?c
zvxetW9K07zOd3MGd9)US#0P!aWTLdBHSl-83HkAV-Nb*-;4<dp*AgS~nj*obm>65Q
zgt2JqGYBqR?u%O;Gplt6&)3GQ9Ql(>Xv`pEZndlLN+A3p=R-zzIi-1VKV_Odcwd2H
zzDA<I&G#$vxe_uS2K?+gcJ<P21|MhLz)Qf%?AsIz_2Z0Btp=KAkr|puk~IceJSQng
zQD>#k57>uKv%x@#Jg{{sZfeD~rOvhV85_)4GT#5JR17o(uD#xlp?l*7p;_tmbVO~D
zocYI&`sD|=mg?bA4pkR>p3`q4>*!4MU1Tg_WTtvu9p*CU>RiJ>n93D9UdJhu5OI1N
z6gs#btJI)l<|f^IBV2UP1)S>E%&T%2yYl&o26F?Ln?Jl@Y{0u)0MAhRQIe(XL?*c<
z`19e=Kp)+&yO>)PtAbf(TT_jiDw<<2{Sgf%fgSg9_chn*P!&Ym{A=P2b;fvRW{z2Z
zS&p3-=0m%>AEhgmyU$gO;7RxIRud$_lGoWKnDhIU`?wC=v-jP;;g&Ap7I`05Bj65i
z#VTyOV|m_0w9~z{CxjNGRu*|p4@i2}w<&5=_t;h<p%Aaj%8d2Z<b>UQn$wfVUElJY
zQWIJ9)d&hV7m@E5D>eQfb}=8z$+|dQgudy>AgaD3f_}G>9UWslfP9o`=l+bx3#zvB
zf<=yYw&pmTY~d<2npmC^1l*!LK-cA5=k?qjS{#JEKtdp2Fx$;qpgUrh-L)~DO*mVJ
zLc6CE`tR1qm_<a|>i*bKEG^fT!+)?MpA$GetW874)Ve;xWfmG%f9Q@Y#eDntNg+Hi
zqFiW{A2Mw+25YV+B96{*aZD>eJ|rP|rmcf1wD@^9aJ9Fxq=t!mGQBjIMaLj^_*t3W
zGsPrL#FlR<!<6ndI_!UHh$s8%?Ff&Fdi>h`GEKRIJ-9UImAcAxX=AA<sPZ<&7F2MN
z6p#2!G8UrLI+EvLHkP?BmXC}mhH*hD>t39!Kx1Dh1O~zjrGo9X!5S30^un+AKCDdF
zQp`=AQsv@6_qJ@eOY!X3vQIptX?M!=uh97L0Ip99A|GwX*xUb~W{D?unl{5Lw^S=5
zV|OMpkNGm{#y6uV7$BX~vF5dv^p*Hz-6EA08l1CafM}kNM(zI>Q(CgB=pE2#nU0;M
zl+g^i>Hfwb6p8n8Xh^5_OBz0o>=tlr;*6haI@Zc;+h@)^%i$Mx@F_2uUG$GfR@ftX
zXT?a9iq|7|Za>N6n(teb!aInL{gYrDzk6(1XT(ItlUK8UmVxnMpxHj7wXFDi)gF(i
z3$EDv^Hj63Uj`ycR(7H07nf<Uu{dbP-VkrE!9IU%)G-LVUA4MxkNJ7Q+99>QSO@8q
z!X5$5e#g>&rlz#<2+V4iM@1Ghli0a}Y-Y{*bYW2yUpb;?Gdrs)_Af0i9{=v9Wb9-I
z>~($0LD6^*<X`9OfmizY`ulO*16d=$q9X)DhkSUr&h4unO(eCwBi}fj8<=~$yu3>>
zX{Ss5ONgkLD{qg;_{~iq5gFpz*O;Es8Yp-9&L8vq{eG6>!}Pk;GC6VaXX+47SPCj2
zW17E@9)qp!Xg1AX=*m)<W!Bgef+VDTVmO)YOnek(o{S;4zdh*ewGR7Z7LRE+RCS*W
ze@lM4Dho5Eeys<*Q_qH89>1EHLVVGas^CPR?aYBKyH{I=lTO+?gl2r7q_AW!^g&pp
z&_1XM=JU+?E=varI4k3oJbHw9LsP-t>2>;p!Jq$+Bi{c*ABnS=B_z?^nc`OVe&<jC
z>2U>#5L-@whYTJ3Uh>DEvd>m-WT2|vO^ha26%tSWCHEltyIqiqg^WkiU{w_o7<u~s
z5&JS*N>vJ}g7x)Qz?6L-?!J_jj}J&Hx4o3^a!^#=ug{1Z;BBNA5$|xvj6@l;y!g_E
zSnVW@2<2t%QYu!cU+2F-Zak-kq&m4^1>CG-iMyfBCAH$*M=KOU9BQJ)+^vEir;IPe
z8nsan=jvfVpEG*EM)<#wdYA8EvOIzxK!lWD*(r)$=^*YeDi13Ls%g!Ux|?6}+JVjZ
zt2nT{?a>$Qh~*@=wEgU8>{ng%GNYHo0h?(v(DeKT-ipjVexk)kX&#yN&5q=94HP<M
z8K(32CaWjroF0(1&6AV(rOXk`5lfaR;q$fIIViN>gKNOJ4e+xR!2j*GQDDn65fKrV
zmTumVErKW|{YFv^tg{z}CpYTCM5IBn^3|1zc-Z+5l+F*0*ITFJN=OKZeXUj(@T0Y1
z_Jw84Rju>b^M#iw+lh<DqD8Rb$lg*IA9$xz!SF&KKdH`f?6UEDri8=#235@(+she<
zA3+|g8k<F93;yY(uYOht!3&wkytRGG5YEMkyvw2u$x2Y$D|@AHGIKc*A};9e2z9#M
zF++L5_sIG3=kG;KY7wkzQwOv{as1U29I$&AtxxNyddblP2#Cc^)Fcdgv2JTlDyXLW
za!r8}&9$BI>DY?$`8H-rJi_!b3E`>afYW(Uj^m%&o(*~AMSW=O7@w-t20%bjTXt3H
z9|o)!$2`;Wx9{cLe6tsha)>20;VUbli5wEC<pyEZa=u+T2~~J}P_^F=0ncbZ+X5RH
z;W*J#GYe@_zQY;^PNr|i^9CZ{FqE;GMAnJjN)G#Nz=gshm*Ebw-`~P?xP1u7d7vLC
zGuhT~-Gf|w?aO(u0^mSHL$?r9F_erM=Z&BTV!<$Et12gR`t$>j_r27{wD<(EY12gF
zbm`eqxIvuLe8H@U=k6ZFn{;nZuOA|ue0giWesz8@-`%CWf{r!2;1_Mx?>!?U#gLV6
zh<)#>4d3p!iEgBD#;0N>BX7ivN_RMrSLw)e%pT~a^&`wvhz}{aC&5IAOT*6|BH#TQ
zrt9h3D>t#93?Hk!=98^RbASxpevOQxbIIs@9;roMu0=2GXT4gY<g4J%8ATR8{$Akm
zYbfXE>zB5RE0j-&?|Z&*RK@e2lSuIp*O~o>{_va9qC%D)K+CzcWq-_94>0Z4wXv%l
zABzlNF<HlVYz{_*+L}~q?mC_&J5jLFimb35b%jV|Ed`aXh6I_LZd`_V;jsTCk8b;V
zH*^^lF`yaHnA(HGA|l^N$+;!gcQe@{?!2y@zo>Q&lA?hjnxSMfAepX|lZRk(Uv1-n
zz-e!nimrWTQ6sl*O_%+?qgamP4!^t*%a!5%>74gD;Ptbe>4m`Zb%lD0GoVgFR@mIw
z6J`=?f*Md5x5X{gR4@`lV5jGNv(TR|uBw6s-E$KI9YuzwuOb;!LD+z4_aKcm>`M+u
zvg)4@Dfi@GhOCABb<}1H#dPNuN~dNA;QPwz@S4}7w+h8#89&KnYz?$Q-MJjA2_$0I
zDIL-%+r?*izg@0_WJF4I!;mwu0qBlRAtdgZF#+Ya-+*7G{&Zt(-&%WLQ|BHxioVra
zFa>3Ty}SCZxwrGIfj|RAvoJQToLD@h142K=&=q~@)M=%z<UX{m_iUPt!uKV=K!QM!
z93=f=udaL$3YqhD@FjW{DyTsKrS&o4YlcUxtlziBoF?4IK%c!^eq3$440>CRO`ltM
z-EQc)_=fp}_FNC}K}g57wOns`S;W7e|NDZ4la4)DbEYEh^_|N3dR8W>lnj7Zh&lNo
zs26J&qt8N$Xqh6>HDsV&$oP!f5b~(lsMh-mXBgdB9XV|vMCK2ASPw>)6Oh~nk_Z=4
zt{%D;p8kNCLvf9;qQqBwXF6tYuvvr8QC)u-OwRWBar4#(g|A0o(ewm&Fvj08X~x#V
ziT3>L)*#jbweWou;le8UE~kWiyLHIh+xyB8J@$z<INgDteyS+h%6VF?1|6MEFDLCQ
zTmvo%7q8H2tH?*3h-TDB@f`W%#?xhEnPXVXSOwI|r%hm*!avg98dZ==Cs+m4x5*$r
zo2fA$jqIK-L3iwZC8vkZ5lel1DyMo{`u=!k7KesJcXuUfe=;FinNjjN9aSE%)WB=(
z?~!E;3CgMCL}3>{E_h#&i66R_0DYP_xqp)5mem8tSlX<SA5lJQ$Yv7_$HkX*rFLEq
zKRCMhoL;WQx(4&H7G-zYiJaKjs?2s;-O_*CtqngcCG@?HgAT38ixM7q`&12aneGp5
z7~yrCwTy|$PhZ#?ZE-N{LK9s5M4vD#wSt#ffJ)7W!O9q|asIZo9c8w_4+NVVbvGhw
z{=5|@B|6ZN4MV?Bf_M%dCd|qp8(`6Meq0ZHt<SWMzO=M*K_TRk8Sr1~)jjYg0umZB
z%Vu%sm>k9gCdNPc6Ei}5fzuuh2a72A^*@9;gwSFVB3KVNM#V)WPfa=qeCwkwr59Lb
z%W|*(<BI-~Uzh)U@k^^OxmnTGXcIoKG=H=bZ&EoGn;$d7W)8r4`#6N{x*h;Tx2%L&
zgrrg&Bs$z)qM2ar?QRvbfnezVQ|TOUUwzF}7t|0lNY`fUbTZv^Zvt-!mA1d!mM_bQ
zP&MZ$gX4MT4C6E!I2p^HwlHppL0^MI7e!DAGEjz1+g24e$-KU}ng%*Q$1bnPkK(BW
zxvkLtapvsc0G{C3>haXpX&yVF>tzgQ-Sp|fEZEeG!MI@Cpxa!g$<1H%fLtVGPO;Ic
z2mIBkJHdawNc~onn|vaJK1E8<11O5!mMu>6Dvgt-`grcx`9Kn($ocy1iM-+p;SS8M
zaEIf{>@ehXk^6M`r!61qwGQ}h@F;lOJE{tPEcCWm0KOL4c}?qD^hBuC1MWzPAPie%
zCU7qJ$_=<^#W*3(_f~qKO>0DPs7}?b(rj=;Wj8{?!G>J!s%~;rmJc{7G{y}SHzqlc
z%^kFeC@L0PDbX93)|x)Iq&DfQ<HobX;EbCU#46O;GRABnH-TB*+8xoQ)RYR*ESf`Z
ziwY7+UQyNIJ7`Ti0rw=K3E_$ja@?~OQi4>~B1;piTK4>sYTPGXY);a_F-J{#uc>up
zwqtr~T6WV(8%0i)OCL{BJ_1W%?&0SwU~6hLxMt|@W+aZlnpAW=@&~`ZY(3yyE@Y{q
zt&tG1pggwCE$vR}yhoEeA>cl-oMJiOxpi$MkLnNJ2VIeUo^`8@+c<ExjGVo2)=0%G
zWp(b0@-0}oje_UZ0;hpjqW2?4B#_3LWE0_f4Gm*7dk+O?ubJopuG4q6&_89kS1r;9
zR~lJA%G~M0c<<dH>Z#Fi2JAc+KDd85t^aCEkzITruksgcG%eTBI$`dvG$uf{+(g=P
z*Cb}2BZQXs9>vS|0%7OQaBk9PLnp22*guVkgD8|5Z{+k{mfd&rqK&6$KI$od5;I4k
z9-&9FMryM6(<LE`mvLWL#yfSz>wa+VX>ZTEjr~yRdwno(pW2acg!rCh^ti8r+8CZ{
z4OQg#Zty%lH5(Rdd~1$_^JkbmX==;LeSgR&pq%WRB2KnLWFFI!DT1@%8(B&=!?|;;
z|37;{$&Us}^hEXaV!8(;$t|E=K?ps$Y6JCY313KD<P#{(Ea^cH=(?$G`{QQLJax4f
z+z4cIesZRMJe<|O23m(#I!4+?GnEHX`k+$;yl>supFVO1@hGZ&bEDBMY{SYUF=dZj
ztTRt{bdTY!Iy&9E3YUO=P#98Qc6t(Yy6|!R{yX}VIN)(1gPscckw;3pLKnf^E*H{8
zmef8h3S!RnD9&{JH@M5x1sw0B#}~Dfl3Ro9-kh8*REZ7ethqUH1Z!jsT)Wt2E41xT
zQBjEJS<51>Ks?Z=(E|dj1Ml~5s@msf6@^^P>`D)~xmw#J!une<B<fM^o*rOCEq!H#
ztGy`u+d~5vD)_LU+taJuTj1N{kP-(`iq%o`G(F&mBsKw_u_`pvRT+;d`(S$$D0H-H
zig2eY%;#NyaX<w8bnZu^TUj-*${z4XR4L11oUw?r$zV;QqFRrnt%CpcAUW2(${Z1-
znPQ>-471JFA;tTJt*77hoQXa&?HM!Jk$-|U%DvfTyAhIkHJf0{+jE%;`hHx!d~`-F
zhF&Eo>{>@!PFhRHSLtq*#^RC1QOf%D%BvJ<C7sp!Fr`ox<xrMs-75Ji7GJeitOs}v
z_|#AJ@Qp-b?pPqvHQf=MKM*4}y(lulm?{XiH}X+vJ6R_E1t>T#A}z;ii|sef?r7<G
zlfa!k<8F&FUjy|HdF%F=YI-h45O&ALLKjJWRip=OWnjD;K@c|G@RWN6vKn(PYchz*
z*V-=Ke5@3Ct*q5qBI<^tyLZ`~Fuo^e+8kCYgJWpyv|i`g>hp`#hjNw8bGjGXJ-VdQ
zXFXn}rMO3<ueBK!^a-~z-_>s{BK#){DnZfwue2^w71942$fQ|K@w%Y&OyoekBfX{c
za=e^4r`ycsjJ;!cWlhj79D9;XY-3{Ewr$(CJ+bXcGO=y$m@~n|wvC;f{k-3Medq7_
zwYzKWs@1htukNbq>b@tnKLQgk0*_`Z+2y-@AUx@uZo>)OK0RL%iW_2)IlqrBi;e6P
z+0>4yWS+Ki|2?4GtTx1qEtF+u4%_8Hf@I5%Jy!PphK=*Z(`>LZAy^G-eBAP!#3BsY
zJYMX+VW!fy8a#Dg=$$=ChM3o4{M0g@y5y0xG&4@iQ<g}#Mi@C3js+{F>hDb1U7h5z
z;oJI7vM%TR3DmDp@@Ee7xIsXKjgqr1#Hq#U=|$J4X90{;GwoiPntOkyNsb-c&V7Fj
z#?%_j06GoJKuQ}1gx3z{`)9|9?6wqV*S$WGiGab_?1>dkO1c{)<PzOf$T8Q-<P$Ob
zblJHb^TZ^ji#`ebzFCvMs~9G|b(YR}?ilbZNk)vrygUbQT!75yeXSuv#h!|YHr=>{
z;oQ&a4x1)8S9Kr<v~US|L77w)_<~~ECE~KJCRj+_LZ{$=O=f+;KG8HTmD;~V@DhH3
zms!_8`d*`+Hwo4BA#igKQJcz&P2r(jseGK51mN~RwIn`(MHw~_p(cT=;eR~WQ@&Tt
z>v*+$VA7zlThDEUTR%L;%c*Y^D2Je=VeKx!0<V7)%{zauRnOo3^UI$_JX7~iw~wC~
z8m*S@fHC5JTU8RWK}kaF1V=J7G5hL?NLW6vb;EPnjYRYhA~Gvw=RB6`pf4TSOD_Mq
z$Tvxpop<dM5X$Y2r9wIp^Oj~Uto-vCc-LGD__(>ij;K=?k+VV(?2lQEN!+v1!bh-h
zB4za9Kah2von^W&k=mXP<{K{_n0u|U85x?@-@n6No5pC=|1&+)_zM4~FE!Rel*jwa
zs^>yx2IZ?Q&;}P;v2BvzR(`VW!3OJDsOcpGqBkAZsAW`X&4*@Dv~otR@8oeHOxD2-
zH-Nbu&K38muX|&{RxHxx8?1K|-xj@6-Lel|$_F643CSV{%cHkPc=_08KI0L6FDxw9
zQRz@J{o%kGvg6}(Cze)`!`bn)>Sfp%*D)1>PMd&^cgV;EN1+&Lt}Nf6WH5lo#85e?
zl&uN0PiYyWTo86pnc*@zFc*jS7%h+;BFo-#-sPC2H~e+|*`r6nq%QaHRf?#ha5`(~
zm8sPbzYa$7^1EpQzFO-pO`&Zh*CUw24TA5w7oe8t^ecLkiq$wP#F{VA!kzf%J*1(m
zZtOE#o9MhE$-(-VU`0+#<obq6(y0@2)t}g2=j{}&i-Q)mdv61~6)%0Iu7=}hG2->l
zW672;g}s>f!g*of&k<{Xm{%3+Nw^C=4tH&Tty9wPp?`OSfGY_YT}m5$W00;)Zs{5t
zUE2o0(E*}g^xf95v$M+_m2YW0;IP!k;(*-!HV&0sj<OOCYWtD*D@t@U!vlU%3XDk!
zMZZIep0RCv%9)N**=pFl0A*qi-intkZ`j3bqv$p-CVfn2?vnyWWDmuR%SJLKb>=qq
zxm9lQON-pmMFR5EWj2R3v#V}JIJBcjQH_UOT&~MG_qe=<DZ7)@Sp2yu4*<2O19Hi)
z?TDfJ*b|SO{iC=p9p$42rD?$nl+gVUtV;rn?|t$ylzUCAfb<_7e1Vp^55ER_z}Ifz
zD9L}{j7{A@IhKX<6R>%D2`Qb<O)RBf93?{gcWRZLX9=hXpJw$2ucolKiybt8X-%??
zq?wZJs$+3zraM^Zd?QobAT{GuKUp#IyzhUIQ%4HIJu$ao$Um*-G&UymB1W89F?0oP
z_R2A1<<X~vPm2!y9<J>dq&Y6exhgyhrBI(jrKY;7WUh}0DM?lA<pkkw`A)vedaIJ;
zTP@6Ui5TqYTaD}XDYMd+g+e`eRbOD1jk*7|HCt?p=-MAX??E_5P7&V-)Ezg1tgnYa
z%$Y3EQUrf){ku$g+O!q&S38iqOH#k3hw>qRc}GE7K$cyBg1Qvo-+5(?_9JI(>o`g%
z+i7MEbG(l~*RFc`AP?#;V2;lH2DGBZg&P+l$u+oQV%45RmT78vRFb%Eu3u}nppPj{
zcQ-M9O2u@gN!^Yb?%LY*J8X=w)H3?;tUB|%-Mctca-t(`rFEEo&}cS{jdX9xnAUeu
z*aUp`k|yfhGml4$;9O)pQ=ht5lY{n>%eQay1JF=GkY`q{^dJ~qI*qujCuKosiD?_|
zDFs59bVwkuO@uZ-7go(LNy9zUOQc8NV-o`QnATjwd!zZh<7nis=v+yO6U0h4^a-bW
zyf^Wu%KY!@=P|9+sRC4iA{)%`BvCn%8AeWfsKO2XjkA2kbkX7`FWT@8iRB#gQgj1f
zp5PiNy_v)CUtW~_X(2+L6dMD)M&BE!4Ll4WJ&tdNVZl$edx(T>dC+VsB$t0_caLLR
zQF>^06vYKGZUkM^GRNv$sR%rk3qWp^9v-^8zy%<?FsrX)S8{SycC*qMG>6l11=<im
zH~nlE<q&DH)*#KoOIq|+%l#?e#;il#?iR6j`Z09mZ`kQ8>HnrbrP~0PqgkvjW@xvR
z)Q+_FuTV4|bEtt6af7~6vE!(d0h!F)nyDS9-M2K>k*HT0ou^ql{iF{pmEmT8to~Pt
zbM|4D?Q?LmZcKGp2+>XqFP)r3RF_s!#dPgM@S=}^@qX6fHd9|=G~RLX^CGjaFq%F}
zQV$*=Q*OZ^M(m9ERvyu*wVh}uKLp=xkzRMhBHq%cMGmcejbe|0{}^g4V97#mh4lAt
z1VBuz;WlCduH;>g^b_*~w%8qw<QFw+c<OH?HQ%@*JgO74QfnVyVHL2y!Jge7lIUh3
z;S|y|WsnRc{z1IO28P4xDjl|I+uKiQoYew!tt^jVLt8&XxBe<gTPOc%^JCE^2|9x_
zV+jyoC}7WptmIFPq_4(RbLP($4U1(9|LYfHuT$X#Ra@Br;8o(H*0Jljzw-L};Qm69
z`Yay4Ef$MHCggQLng4$%d<j_thk~FT+%3frEF8_<++8h99R4dgnc5<-vM`e{ll)JK
zotcA~{r}Qg{+G_rk3d4gq-f$`LBb^C!1-TA-NzYJ(N;3GwJ>x4k05X1XytBA!pg!1
zVp9E&B57mqZs7|0wKs9M5VtUMGPn4Ttma|r{y)qz4klLrL(#G^2XS(-u>N;h+QP=l
z+MR@hjqAUfsExauvW2UdlY_I9qlKe83HN_gF(-Q`S2br7Gf)%6Ej(?^ETmjbd=LZ$
z5&l;*@4SnAXm5P2Hh@{mC{l)nWVQuNc6K(dg<jhzYec1u+Loh@-1<{1jib*xgV)sh
zCaaUp6ph#-yG(A6-*wzTOsXz9kEeNl{rSV;dFohc;p_*>hTC$jTlP{`?yy5y5P2q{
zQ^Hpoq19FO(tt;HopYIxK&A*^BsR+4k&kZf%HlWRGZ7J-74}5+&@>V`Qs$dTN`~=P
zMP>5W{7#SrnMfY#6l0QBhzY7#Wbcj;fD}Qf!R*_+Q_p-q!TIkVeg&ebJFbG0Q2`e&
zO9!IyTAzV0pR59?7dG$@?kkzABS)VMG0%<p$6?|dE}a7{z4p~@zS#{KR10^7sb?xi
zz0m9*Ph>vber!1QjEQr{!(Z@FWTY=rKTzMI!~6RB$dbpk$ewP~r9VbKKha|9p+4Xq
zo>Ac7kl+xIkRY(|2ng`-$i97pPk@7uhet_`jEanul#Cb^my(Ja8Ih2Zk^o2mMn@^f
z&6}WJ#Hi#H<)z2v6_U%$si-Y1%B-x)C*9m!5n~V6vR@;3ct$14C?zZ+BqYit$_8j@
z2NNg%o&7xfm(z7t^{>3^?X4@PYpne3sO>2sBjKs-sjY1}VYY3yprF9fSO79iEKC3r
zl3a`&9a1a|C^os<SbW>KAaZ!{@+VrhRD&)(l{a6vcHyMxbOpcM>fwB4ZhF>XtHs1~
z_~YXvaz>A<pwr|0BhtXie%tq`j*xGb-|Km;dzRnr`D)WDfBQlb#>gCdoX!c(OqeCR
zN%8X}=<{)Js=n{(Uo}(j+az6m@6(Z8ec$cad42EgY_3z!`&GA7XyJA5{Zr8P`!(#f
z|I6<Cb?^HY>~-(+0xYrr!|s>h8&30_(CfwhoDlFWR!L~{ea&k761aEH)c>+~U*G?_
z*X`8*{?vRO_yH2u2i#pJ4tm+GD4b~v+MW|4{y5AmeE#YR`Wg&_MF!P&c8B|cfd})u
zVg1BB{x9RnrBaCm0uY~IUrh*?3@kBw3U?3TB=rx}o#o%U%z_)avPEs*T+1rCztv8J
zN#4Tz8#+wVT9(IAqX8$bV@Izj{pQPZs=kvfppWcB`K<~em?dJYNTy%ghDuQizr<DB
z{RDK0puPwc_LC@?&m!=Au%eq8IkiT}2%h?tETc?X{}9y~`OW!4hD;6DUQlR(G7)|i
zM~Qxi`L{V!W`nkjo7+8DRp{)|d$gKCS7@+8G^GEFJ#WOp>7F<Aw@x#>Sn4~(ad#K_
z0d{cGKr+VEv&%!YaXRZHGlVemG^nVf4sI&rC6n(Wrh>7Oo-RG1Fb9p9T<N3t@Nlv8
z|FM;qsgMSWBBNpvUC{w;>I}l}vgEB0DFzo;Rj~n3_JW*@`~y)_?k+tkFx)Urp>%gB
zvB?^j2LI`|{v%Z;Y=j@{@A^`@w;qca0h^Ct$oE^CR>lPQ)r^B*zfog?CEP&wJUY4(
zDPeu>8&uWt-Pigb{rS|?Ohtj=_SgVA8^^1HE%ppyG_?G*wTr#1V23&BSj1;+mlMVW
zt$9>{eTb2@y{#vJ>;GeHV%-~t1Ou3ZIIV)sSo0YkP!i>)E<b$BvbhNzqWIZJ$%IGB
zQhPy9J&QDfrzH61<)KG0vyQ}=&#lQkIRqqhS)M?O!u-Ii+Z`HwnEPpWkp@JZMFr@C
z0NO+?MG|ApAddFDIdBfL25;fxk}NRYyB}D<*FiMQRfq(Gx2)jKk6T-2bU<>j8A!0{
zx&c8wMDtO{$|wssNMAhr5FyV~kc>sl>Op;ibvr&#TOizA?CU$Z4Zm5Ax)jHnk^TP{
zLAMU;<ZfH>1Wzafl~?~`=xzo{?D>z%IKpGu!3{zm1aTYeff|sN+nt$hrX`RV4ICZ4
zrDe8DF!;=hHh|?pc6I4#I@((`>>m7&KEeWOjY~I&Q~?}pBS?ab+x<-mSVGt@R-a_h
z?LDOwGh+AC+3jD+@u&~*=@rtjAG<(Z#jES%b~4Kbnn~CA488&bfs%A#f@d_~zc)JU
z!<eAds^gG6rgf7tu1-aOho76H_3s+=#so5$l!kbooLzb@EJaqune|JNK8ux4=}n5*
zN!$JBL660+OSu5!aPLKZl?5(UI@qwOz2d#g<BHuy-mv>=Blqf`zS{ixKR2;~0y>Z$
z7i|NGrO+o^=1uLH>%3f5%;o;(Q;&(g@0%tU_b&%~&4JoFWQt1fUM?UdELtOwAPK=y
zpWOA1N7FScnY<t3uM>4v{SQ{s!FSo)gEGN_2<VSk3<#K_vPmLUA<VK4`eyUd_3HZ%
z|2k<NPu?yq88U+2o4zN~FvfU8d(i10Os0<=(bd5x*=&9u+SSbKz13n%)sc=2l2jTB
zFD_Z_%_l!0{Zpk4p36&FA6Iv{ovgFHRTE3i5u6bWCloGM=fByB9h@u-xxIRad#jC>
zD(HrW1K(47mpfzKR=$Au+YT@4eVx~{>yDkkj9jPw$8tT#uGa*<tFHF~SR(I-iJ;z(
zH$LKkr@tugD4p&TEKe@I{5&u&@~$rS{W>CXi^B!yJ*BX9-tS5Ag_FHqYp<`5py7IM
zW@dI~c9t|ZKi8<=Woenv>O$~quiEitU2LxJX$xBj*ha6O7x-io#!vZgw2^$eCdP$B
z<W?Uroz)vPew)yZgikVh-`vc`wzR}HZdp8&?cnJdxPL@={BaohUKsRFr&V{=9C?9p
zlBmO&aLJZR{WK!b*v;3zQ&SN{`c%15mYdCq_rM!3Svw?Ot7*rMSF2gQbp8#d^n2(x
z>jGFqUtoEDP}lClN}v7`^R+`VWCA5fPLtU|czaa0(yK&00mVn<heFxX?{ca!fF$Pd
zfTW}(#(<<0U~CMKE_--z@CRcDkJ*7)aSjX~BHFNjzeKO#^V-W!gF9%6N+}*b9ZsJB
zovWGdi7Yvo`pFp^tKhwy!DQ3L6Y%oq<>baV$Vtgd%gV}1OG}HZp`c)EtFQ0#b8xV@
zc=!A0$!dqIschNu$wROuMG;s2<4V*vZ<}Zb)kQZlHo!Bx^#_&OZwfBU+0OcPXqE=O
zNX)Q+&CA-E_(zZNv-5L&JiMG>j`o(ewpK59Pmkw^r*BBe;01v6RN7WetE_^ECZA!Q
z75=x+oFyEgN6`czsHM$j58-??o=-G;u0!@*PY)igoXZ*-Y3Uf)n3$N5bTl*!3=DKk
z^}m1DRMl11Ry%<PLPv-5lZ&fUd>lN@I2!5-cHLeV7%FZ~qmJWOrwbr!zGhpHZ~<N{
z_miiKeYMU*I9E2pL-?=jglmGkO8xDv1$8|g-K<RVxe<CgIyuI<+1ZJSnW-tJAN2IJ
z;L2L+8Y{~j?40dwUY^fSD9B=SHInq8{}j4Bq7&EW*KCBC_~7kmkC%YPrWyJOs}!z3
z=rtvXLe76GTm#hH6nsn+Ep=T}=)rT4v`tM_RaISGWo>PBeI+e3`1z>0`ip*dwA7ST
zmDhm}AqlX#PbXPqHLd%u1zZz*{^6)~eD{EICIF3LlFh24%xV|AxaB^}AtN8HZEZEe
z1sNE`=#=qs(b3{m>5>u>5>kMXk+IQH>T$5YG?g~E*>@KkA47YKcayeIZeC2FqlINl
z*}&TQn@>~Tg>(^r5aR*3EtlpepfVXo=`YdeF;h2j4z&W0=9Lb=s%Q}pZJM-gysed$
zjg3(q2M0+>NsEh%O?G#`quL3(`-_^Y%If--^HbM1;CLVDg3i!pq0-PreVduK?|VpQ
z$`g!m@m?HljJKrxF|PhI({JEKi16~Zj)7@zO8RGdBn-5)KLb^=^hePvEEE(J48(8n
zg=ExYZyi%tTVJZ1X^FDv!?uKiPm$4=a9K!|g3YIuAmGK0oW8}=dKy2&?C9;{Oj@yU
zBjIQm{rX4ozEC=yoSd5~ddYAYkW!E=7Cu7sp#p`u5y$vjG%^wb47-$cDfsjN8)OFJ
zPuY+$Yx~QSGkk&&1ju6lr+i{=w?AIubV`Yc&t5J)6wOuM!XmqazkAHKUHxgb4vs4T
zQjssQ(E7-!qepiy{vpBxM#ei#P+)e%1I@%mJWw4+zq2}^23#dQ4MkjhEEL4t{Ir<F
zapB^!Pfryx`9Z5QUkNz+1WapK$`_YMY!81}Bb4jop4>fKSG3X&ur0AICdnZEz3qA9
z<;z*L2^iUtE%g~u$QYs6A-9pzB(<T&Tzxf>lW@{G9%md3dLh9qT4%Z0*!+$HzT7k`
z?9;49qF!TH-LU~d##lcmFsd>u+=1&;&y^oN*O?$Uj%c<2YXt}!^mf$jW$1qvf?u~P
zsGp2AX_X>_!JGOmepECFtiXq#;3$|R&O(PZ3CBm60kVDrruXjUm!yyYTkq-5%)I91
zc2YWWL4xDebZ@>!9at}QrTR3X`jL*b?dO2IjewwnnrO6?UTF-NSopX>Fd?voV9T9s
z@Tmc&s7NVE$o9M((m6VM35e3}An9Ut@Ctr`_lh9i(w^15y_dvqE29MkhFeLdu7e&z
zbq7{Y?_6J<Chx*2!3U=bumo&4?z|uHCPxr}i+x1xNJkzlF<gYWv5W+wBBmlW(3th;
zb<Af1noARBE@DYXiQ-b$3Fbvj`hgFN9<rU$7a}F#NjCE&GxD4dQ)I+3LBh`3;p{L)
zdD;0!>Y5rWf0qApu_J^E?zgzCUl!Ip9P+JtLL`twh!bD~s9Eid<Zp}8fo7P00mwZb
z>+V=9!(pOP6l#^~U~KvDAFPQe6fnwD#p84p7DpIqV3kPuO{V^`c3GT`TlWjHMm=H<
znH!_G6VnH=GUM1wRaZt57-moB{j*Lt)SaoPNoM8)ET#7O$_MAza6PW>dGwS91$ycT
z`L14H%t_dhHpArt*L*73P9QT5e1DaL`-yuPalYV3SE&zcE|HE0NY-FMh;#}pbeB0o
zgnY3vJ!CumjmQrvNdR@Zr8zbRWW~nMg9u$AhgIjzD7t`M<mP(?f>Z+nV!I>xT&`bP
znqLRDj;EV`W==)a!njHDkuchkKOh@H4|=H2nIt`Rsrl~bWYu{{503gkT9e5>Lt)*6
z2jBSY+@yRo(u0eOf1b`^Y$ZF>_0J%Bw$c9U?f1c{xs7LpTdkLqD&OL6Y#7$OYNQX=
z$R^YxklzQM?`o+?nuI-bDg1*@19TA5JwqYim6o<hw{!ycQ5UzNH6jfaCcRn0-guwV
zw*T9;->2(f_By9i-nN61?De>wmHGTeh+4UD(yqREH0%7NfAT5{@1eF1LJ~G*x`)E$
zCM0?Efx|O*`D>8Hr71QbHp}BO;YeY!=X2n011M(HfB)j3RnYCRzd=vX)Z}x&JYyB;
zv@Q2}XPh~oAD$XFwy74ZX(>`k4-bbB8yBObn0X9Yj3g>3-85Syw7+0+ipEpsS;;R4
zGJT76o>k_@3*bQ+ujPR4zM$s`0qjd{6xiD75*9kQ`}=b)d+uS!Ywv?r!U@9yoCyjv
zJUrwf!6GK80UB5lpX4;EIXcFAhY{&ze57NbT{=vIT-$jw8#us}ad@<GLLS}>3@rYP
zsAcIkadX(usOy@ko3ltq#ChwdCS+92$wTDn+8W_D@6NZr{;J?JkuvZUnex|X^;L7I
zv?e2AX>WCXRa-2QPM8!VGQpcMt)Bhhb_0=a7QU&`##Wu5UL<?Z2a5hDJNSVI-78le
z-s?3kzP|t9;53yK6yxIK6NYRsQfcG28b(?C7E!hgrk;wjq{pZ{L@MGAB%Hm~?a9bG
z+rCTs2b%*w7%Cn^^96Vq6Kd^6s%ByrUh>SYpP0V<9wyn2z=kCug}q%({nc6cx#w5H
zBx{h6=*BAk;1dqtE|m5Q@eQ=Un1{2%y&1m^N$n96L`u&xK=5|<S~<I`n$2H&U$8qy
zbmQt-Bk*_<vKv@^A5%x&vH)%tx4!{auDHEQ7mV4@TJbQ2z0KiJH~ubc{oDAny1Kft
zxV*;4U6tpB0T?hOI_!i@>Fw?9xnZ!9HXOK!2vW|%xSzmmow@84GgH&;{Vd@keBP>9
zb#!sD=S*db+$9_pIBEhS_snez_8-^i3^a&TWar>O8sd;`EHA1X>8WX`Aj8(EuW+_`
zenXn$R!`_>9+#v@MV(l^b)-l$8IO|AIL=gGZgqe9mRSAJ)v2enLXbB_oIB&5Rw!P)
zz#p-MeBto%T6W&9BqoIfY%s;?*qwdKD3APiHhGs)68f=0z#UuCfN}HZZ-rZtP~?+3
zAL0=s*hE1=hg#%a=rAM&Y?RDC+S0*mnZ`E;10X_~Zav?A_R{^x_$J6HDb`sLIN3TF
z`{KSpCicIs+XOQWQxvEqfJXB2YUAYkLmGa6@7lz=sFoU1Ru0*yYq-8x`8H{C9k*`w
zSKWy>-JT3rj+!hb02pR+MJCW))Y4U4>u2n)TFs_^xQYu?F@D9#kY%_|py%o!tm-}P
z*ya)X0e@K?#hA5%4>mIJ9p&-av#phVSwkxg6Z_zBoNZAx1s#3QthBUrx3cTuV(91F
zvJC9InK5WX;(<&E1!R)I&7;aV^?gL&C+Y6O?F24Q#39MfIU!!*q79e8Uc>h1pS5iT
z#PSt(Kn6W@{1xfe#c!lPA=ves2qeo@)BwrIw{AY&+%r2`(&06o0Yqx5kx_9O@*%NZ
z_jKnXjV0Hg)wyE?SBW73-F(wwvVf6@7;{!KodbMSg75iBDcO4ZDk~dnLM4Ar9<YNt
zkX9Oco{R%IcUHX=nC96K&2AP_CTf}ZPL=~7Z(b#P4Pi+o)r|4&swd?TLeiv_6jDY<
zCFRJ6M8m=$K7jrKlz}0n-&taCUk@L}rk2|8V<P2BAhY8_;v9BErq()>4(7*kbZoKG
zCY1H%ZCde(^f9Fj?Hi&Hno>)a*#XNs2su^<tqC@Ee0N(6dhWcvmI&kUU@mfy&La}9
zo%1MD!T1SCQgCwqqh!foM4Q;}&=MnM=9%g!j4K5XR+BQy`Xrfg4i(}3EMcSHUk3h2
z=#wQ)SSafwC04ioi&bilR2*?(-t%@?7O6oXc1P1X&muXVpIVu=dF1^&@*}tdQdD0z
ztuQsaAO(jw76%#1P@5hN;YA-gcgD1d$DjCX{`W}S(B$CZJmz>{FZ)O;@+dUK+J^9u
z@$F9g4}OGk^B;`5T`(A_x-&;oN_6QT*1P|XRxjcz-K(^&)Q~$X`uU%&$el-1_sJo9
z^BIH{!J?blmWs$T$Ra6CiFYD=2!xsW$z;nGaO^|4naKnh`g@!@KUf-`qfX6X(6DjF
zy~T)AXCT3elO~$feFAMf%>3r&J7lYSZE@>IcAw@-TBjRZS)caoJ*17+KPzUJ>^y8w
zes=%MIjfqAB^{B0Z(K+=Ar%=w5sU032xmU?iE`jqr_wqh#`@2BZ(sS24Z_;f<9DAB
z*7w#<j)V0NDOT1$z(^nVR${4Ku=hE7;2C&+z&l#4iJK7SPPrp;8v%a2-fr^NYC`L~
zC{fR&V^TtQ>dd1{fkzjUbF##tMh2uC8X7iG#|(Z4Pf&B6^37a93@kQH!ez&}?(E(_
zgOH`gib6RjTezjs@u4Kyf@IXGUD$U17kBF4^n;p*SGxy`hm*%l8<PZ{lcxj$I3+Z<
zXv?l<Mh@J(obk}Gknp*Cz|bMM84*@^d4ns?5Dvs)LCW=Nm<;DiAH;l(0)QJV^ln&0
z`<WZM({H%}WX8-{(Xg5AQZfv*4P*72G~H%T7iVAH8)Noc+fK$(%8Qoxn+b~JPz1c{
zG^?`-@FVqXZA0j0C*&1=CMH8f14%~oIT4xV2XV(@?X=19@}VJnJK{now=4=Do4rC6
zP3Fg`((QSlLq{SgnC0;b^I|#=Ov+>h-fvEe89p^q!Wd+Y%n0;yXnrF(ZNb1!cfJ8f
z5k2r`4o;Mvtn9=Td{~@EC*T_wor_{-P{oAeWZ-*Nz^%=kNVEotkqUp;VCV$?9iWM>
zb3}fG`4@^L3`3!Jc8i3i1vVlf9*5*MVE|dGhIiSTz{JcL2JFT-_EumZa%=V+Bf?GO
z+mY-G>NKp4#PDkQqm_<%6gtmHbP`hp7K0;-^am<kmeU5FX@r?SALXhGUxGl-u46Bm
z>#5J%)9!SjY0RgiS4*mxEvZeIWItO<USC?cC#v&c>}hKkzSZ^}zhdX-MXS~%2_U6)
zv{45alK5bTgL{W!VN35=eH_~hOh;cgDK(iaHXZ>snGo*6n;?~164gw02w(W(@JKS{
z*R#RRP4`iA+4hF#I}Hzw*9|{-w#+b_vu2d7O3!g(w|SNv5rJBz6_F0`AB1xrTJIQ^
z{63DDmHcxGaQHLVduO4Rb{d;&MJof#-0By_Nbvlu(H?n=a9rV}aK+&OTR=WOd6mg~
zz%|p7%!N=3wQ5fm^Tx19o99G>Dnq>7>@-uY<JpOp{O{HkV2h|$r#T3I*)QJ3KAp`n
z$)*$;uG+9)xU2vVvI|F9Kcz6gfPfes7Z1vSWgguf@2`Io9FHl&-}L}OfhOP(wN{%I
z@SX@EEaaF$zT2;-$Cx!6(Nr<3Lwb&;szwTz`|nzHK-I2Zy4@79-f`S%L5$aG5Nv<v
z0&^K2@zpt07fvZRFB$v168#>e782j;42GDLJZWbq;#8Z^RkYfI=fCT29(AhC5{BtV
zADCQ3bZixP8Xag0<_&zcO3t2!#Y{g}zY1Fgm$+x#Ql(gVjepm1C_<ecvSkFP*S58=
z|H-GApM$M5wbP0dlmB_r_b~I9mHLX9^&0vg#8>3-TY>NeF&b`eS~B8LZ$e+PO!{Y?
z#wG*^fs&g_y-5<QOs|Xvr(nVFqCbGxsJtMDfbhi8u7;6rJOm>u3Q8JmR9IQLHjy@U
z_sY=8=4(bywwmze>K<j=_qG#2{0aa*Z$7s3UH82g1o1yz*b)1`#fK@e2Q6OAn9mz$
z<H4@Y$WqFM4waxAcSN;B$a;+03U)uw;_cxCC_6tA-f&~cu6$ke`9u-t<c1G*^j4Pl
z{Gf(>-2;P98C^~0o(l16>h>Fd5s<T=4?5n+2ied1LPA`z3V5QN?I!na2H1uH=VDA>
zPW{86jKbOZQ+d3MU^lmBECc3D0#pb#=T~Jtqyz<p0*5a`Jx;%RUTO}iKTZtJ_Lyl)
z0>htkpHc5$jQKgL2@f9ZD;gMwmgN*9U=rZ|EZCMmrtg)K=$>4${}?nrXuv$%9v>Bh
z$5mA9j%1wT+Pf|jK>31>Q?BdTk5D2!$YH`>()Na!y~N3!e!fLah*pr5`d4Da!qGaI
zU{W+?f4x$JnZOd4%vP@YZ@c+@7WlL?4V8u=jFWj_Q8sBxCRWUN)KqKEQsV)pC7<CC
zIGj;G1LU<g%#bY25iM7({IhyMzyB~z@4j@u{^@?sR>-qwf4~3T94o8~%-pL6F#$T3
z%+g_jkDtZDS$x!5=c4y)gJZDq@V=NuI&ftbWk4%aNg)AJW<gs`Gbuj<2l2<4e<S9o
zGj>>e_wRd0{H6Nms)yhm_`@tybDZ|?5fBNpIaztCcJ99W?7=>kj_Zfd{Z>Jrukrd$
zoRG0k8#OHvT+k7I!g`?j`Y>~))g2{XsnSWWZ1eG}n(N(6iTY^uuICq9kL#z!SHSy<
z<zaY9Ke`M8NnGhr*vE)8cG%7=ZQK0=+_tsf)N1~|+T=oV@#of6-Rx{af}*j3!KOej
z$Yv88CNJGb2ifkk!P;Biy8_p1xzaD?fZWkvx>9~e%jl_X<KuL-j-fy-HLcp&l<{K)
zyAZRb%0O03@ngs*uD%cVQd?91-xamRRTM&W5?F-aFRtmtc@R>WB2m=@dJluh7N6YS
z8%%%KSC_U{7WZN47#IWufDCCjIXyosEtCNtoB{p_?SkyBhl+QhcBUJ?qEfa&E>w>d
zCg+J8654rCu2j=Qo@rLFn!JL(GcBI5ecK#fexaEhA9TFTcYWia;O7M%SxWb@)<e+Z
zzOZUI)XUEo0>shZwo)DyTH9}k#Vh@-75&wiGo3$ZhH5%Gezmmplr(jf*Y!1aw)Qr|
z#&hH;+dM8cH!rQ%1uXQbY*@MA(!YgTqsTR@Sxf7MOO94dCQB1#XRUr3b#K}FT%0do
zv<|QgWyxA4nG&~r6$l8Fj^w)-TFUyXYolU}F&o8ksd$$TPSlJ=#RQr;+FV;#)zU|>
zL9ns~TUc6}TTC>&x!&I)#>!37R@t86>HXvNdxMo4OH)HV%<jA=YOWUdZbr$E7xruq
zj#Ew3-Xf!5W#p+Y>S=4W(&pi5M_9u0)63f=&IPS!l^c6=1=&9nu6seE)<YVM<5o<V
zl8Jtd{^$vF7%8`B`5U(WskAruCZM3eVG+TTZR5Ow+7b?xP0zx@LrKXXz(&W%)!*=|
zrm3s$d#x~WB%kazHa0e^EwectU^k?55(5!#zk@rL(gAjO%t6l4)!?nnezRxK!riJ?
zEl*{m;&kIg<3RY2_|~OQ>-VK*z*v;udNP}0LS`hithh2x?hxPaSet@r&u$oMBO^66
zO%f%!xY!KINXS?)EShvsTzX`TdOSsSk+rGm9^vN{t=(DfI<MdEo^@-W@4t>iOTNes
zej*W2e?#PFtz$TmPngG!J{Wn(OF1i_4QZ5#hs=Q@v@>cw{Kdlq@HQ+wCG?L4KA#IU
zo0)|fFnDyZAxq9?Inr*47|Gw4{1r0Y&eb<kQAtWqK_&c-M}V_)eNBvtii3lLfkA+V
zhebph55Yc_qPE1=9AZ@WyDrMm2NZp>iDz5VbE5bhcukC(Y@F=ZDKs)SCgUOH=>FZ*
zSQ_N6>ak*b`hD<nDr2K%mD%cWb<t+pIOV5d>$@ZHGs#wdVS7Pc4I$4ZkDYxUo7*hX
z2L(3gP?WI?uyygkK{>is39n*uqg^Qd1LLPS88I<&qc+*?JqjEWGCX2p+)r@&3X5?!
z#NEA<qlBxFU6&5Wm5xKjp{3I;>0;+B%cNSjs~_OUDB`XNaZmr=G0;=FYU{-BR_2NM
zXaJf(3?yC!r=UHz?bgZ0-L1B_$-TS>@truJKNQF@!h2G@jqacQ>}xnjyk|3CFbU}s
z6$F^;GiCy?;lLJ5V~B%!*!fv`u^iXak1;behj4d5-z|F50U-*yz#Gt#Gd+wtWs{zQ
zJaamjjE5US!q0=*q4?umHXls;Pv51pZGyrCdDHdb({}astX3R^f(l{_oxB>9Y<L5l
z0*eX~U|6P&$5iu}qmzfm<$FjU1ahom#e%iFH4;qfgehc^4@9x_#rZKY4jLY5yo|K`
z%=9cM0^(?WdO?UMK~eaHHb^~mj5$EQBu|oiMOw~aOoc1y*Wd(K&M?MgpfJqfoDgB3
z)9hmJ;Tt0(8#MH(_xR~KY8@nH<{@J!scLT?{UvH851tabb>9Vag1o4@s2TZ<Dnx3I
z;IPW!5Ldpq^XVqcmdS()+Pn!3MVgkn*yM^hRduGv>$@<CH$44U&Pi6+*eE@zmY+2c
ze<s@;=W>){s6|5Vxk1$@8B#HuZ?f-lS|;(^y_aADgTXEmZ|7g|icCXxT1nq^{NQqF
z$hi*^_`0~6p{%oH-$LMZ=mnGWsaI0gTuJf_bxBVH4S2AXFq=O9H*J`}H6}2|gakSH
ziD{bP*it^<s4=Qm$>9vC=*MATee_uC^7t}P0||K>TimbdVIw8ysBX~Z@U?nJ9no?7
znVT9QjaO<wEKeKM4mnFARH=#N(Y~B6ra=1b+rT2mI4-%&;LY9IS%cs`elzQQlQ~R;
zIo?~Cf|;0Gtc-RiYU4C|^hnCU4zrEDC~F&cS6L~FVmcQdqfg<yUy!EsK5Gp}lZ;+c
zPop)HdQLD*f){c^Vqvqb=aoppJ}O{q_RqCt`a4Aww`ss?uk5I?7TdHMm;z{;7>;5P
zaW2Nbij(=v#JgkQ+|A1d`DR9x`jgwUnbqF4k=j%Kr=*o>Y$-5oh^z!XWw#`8@(qhy
z!_Z+KonQ>uZ@QD5_;<WK^hfORJ~5es^bBL2?HK_MF`r#)Fp@_^wpj)E+T!LISy{jN
zmjQ2&mA!dUb7K|M5zSC>xiL#a9?Ml6kkRYlv{fKGMrC&p4LnzplNiEafRz^|xPCY+
zmoUPVdtQ*2sIG>ldPr*-=OOcZ4(789G7!hc<Pb~wpD11;+636aZF7c$ezU`qn3Ljv
z-R+L}W`Lq{3)~L@*^nddm&^C*Gf@Q-<QrpuK#}hX4^<!A8WV~Ua}xTvMROy$6jh=9
z>m}+G_oQ_>ztRagd@#juI)`=D$9$G-{q`Mu^4<&IL>zjkyqT*+%FcL)xsQp3nAF#a
z?d`Y_3NIl5XY2>FNeb-cIi#59&Ruab=p(-itx4mSSKHadz>)Y>R80_+_A;)8QmApN
zbQh}jtx*Ba5i89l>-Kf@rOO~h+EiCZEnIW?2UUyjzJj>x1d~j*eofP{B{Zw-s8~`&
z%FfN|LCp{X*xl;t+0D4n6AwOsYDJ`+1!sB&`8O}{;kbCWVEJE@KS?}!D2qZ!UL#i?
zk?=EZ(9Gwv_Mbq%{UO>dUbME6h2ekH`~B1zDT5g%r4qy`1E}^E-#CZ7<;#`~rGF^{
z=cKVR8>6MhgpZ744r)SwzCDFBE;MV2y<GzO^p6(-8Pp`PR6VocUMIPmVPTsLBtuhR
zi#W@IH~i4>wG=l;g^hWK!Q@OQWkiPR2(J_r-F_vDEb$?lMX-^wX6Q={<Z-RJF*Pmz
z^NBMis=X{p4A+qYM_B~m@)Tl8`2Rv$xW8bdzP32m=OB-`=az7}+kW1R7e90Fzy$Q#
zSvOR7;)#1V{RX+GrJe|Bph>rEbq%d09I=C9B2~PUQMPH62Behp4V``;h6RxcKYQIW
z-Zi=MX7^~+ut`?eHr9q7k~s?$54!Kcr^=`Vol(hW<8~!?+ZilL1)u5nt@dshnC_ga
zpKik8*n3PzZpx&18Wh3hMckfrGw`8Jg-nT|Q?s?@@&xyEVy9;|IkYI$;0!n>HGd71
zc9LC)aseh;_~*6Pj8)NKNyA{{ujAy2jAFsYrI+{+1W|m5fO7nA%v685O&j<IaE{i0
zHmmKIkp?z|!*W1ZiO*-5e-;w3q8^TiFm3x>4f;85yFGGf8QmV3GQDPt2%FAhX<=t%
zd#p;+al?<Z4&ltUELMHVlT<PT4)%fLj)?qCe1@Qm@$g|w#A$M)_C<%hchJ5*Gq=8P
zRI~&t24Of}?3!2;CM6K2@&Fb|8iBQ8WbatwE#I9SL@&pG4S_&VcGN~q;PBq=mzs_t
z(gUF`(m{mYR%7Me?kb!a_mXU-N}<hr&-Abu5*X`f6;abHTEGs8n2pNTJPR}LQE*72
zXZDgy9OkX{QUXpCaDNRFc=;_oLT94!y9mjUnJ%*>vkZsloT|Xxq1sA8tBIv07BWgG
zNqu4ArgJD@+{>0XUZz5KWYnd<%jN<Kv$h5vjFE>DvCyUrgmV?}HsD1mPZX<2r6Xrv
z-JC!V=899E3_iY(vgX5d(E_=zILh)tK|02U+{uOg`0T~5jsX@o3>g4E_QNjjkme*!
z#t)l6;C+K*-Ll-uvOFF}fH`c?I<J7!k>7;(=^qIKZ6woG$_#Z!132yKMvVBqJl&)3
zdTB&v89$M|#vT6{dACUj`#O@V*m1Dw9d5T{Wbacf8TIhU?P;Gk(xwT9;*uBd&N4wq
z4Y9Xbu!}1F1@uu#B!a%0azy4Tb$rnKO+vo2d#+)%ih|;g^vReQnsnXLrI|u*SO40S
zAxoXk1Bt+(`*2rwFEV<B*_JAM>uWXnN=y4f;}7ftRHh3C`oSFzTh47*8*{k3BGLWe
zHz60uE;8~h8*Wc8sb{T$xt4xi--Db!L8SdG=hem8U%NS>qE;#w@~6Ph<#c?cCCPkA
z4wgC`B0MloZtfZ!HARJ)LUY;aIZ4h`GuH`#pLuG>4eMNs=)aPpp1xKqZ&8bu*NgLF
z%{sX9Wb6@N%}ND*aw|+tPS0-%INMFf8LKw^alDuSB9iei0UfmW{e*QGlCjrpR5O;s
z_~Z2=E=xbFRgXW{<Lg1$Y&efOGKVKO!bVD3etLFxc79S?PG9pUFAp+PJ$^$c`dFZl
zKtexshHbe|IVS1^!zSv%u|w}-P{dEDAMZzvIOEdfu#o^z#5uPs5(EE&xJq~xIgSSt
zAWX=%3L)d1G_-|(KLEBkhBF2M>h6L~GMG?Gdd5$KMphm$muar<zxykiTRV&Ex)8J#
z48-L8=60e#4=xevv6X$6)u6FE;kAz-;+e7DU?L@`%a7Clw78?tXpB`j^e(eOo2IpB
zqn<M)VSyd2n)|3|sI4@Zo=-YxZr6`X5V+-qn>o>@!m8`ZkL5mXW?D(T)8pJT;4Ed)
z%RWB`eS8IpzF%ed)FLwqTwb4AJA^jZ|3pN*Lqzx~M`w$--u3=BXkbW-T%HkN8~H)z
zHOP7fW*ggJ?Hyd&)#+y~YSG{!y8j#@N=$Uo#Ron<U=s~VzNhLsz*VNj;`{mY8_UP&
zG|L+Ne;I9Kd+#uE7ENxKT@3X~51u(KEDzG^YBV_$WOSFmhd!S!6yr4oSa|=e{9RVp
z(lAub%FRztF32cIPFGV_)!1GZ_>>Y0L3Y}8Rhf<n={X5tP8^5+L?Z-2d?yD>E>8p3
z#}Ger#mU5>ZBd@hborQV26y26!^rkQ{^R+-H-Kb4Kjr!t7E5ZKGeSZ!Ka5I&k+r+4
zWv+lnl2V*Netdd_CQj;n4G9UYHJhiudf|se{epZP@=#gD-$Tk*9-UJfnWpfL4sRXM
z>Q_~N{O7H6H6k}ZRMWAH$QZ(S!?l1o9*T(LrN-~_wpCxfG3dUVJQ9S*1Rq2w)|=N9
zV;fQ5Kp(T?`S3eOQ?4<`cMW*%1UP5B1RA7-aUpt6hWhaYu|lEii!0kI2pm8pESQ5l
zAn~bGcMWUrwQV@jULDeie|2d~Ukj8}f=Hqmml*Ri4h}IkX$b43XYrrqDB9%dG2&~3
zXk){x$!={!iyUc^#i@^l$0ekgq#p2g;j26*LVqVIad$OM3dRVt4vstFSItmW##Zt|
zI$oBCF@X!cD_Vj~(*A#Ge4(lwyU=+3M*se9>T6Ia#l#D5;qVXb@*2QF%gOq$OmS(M
zoRh8R+R@4FEUIz$GZ4i0A;2NQr;ZJF^qaWT>_;%|A$nWSo|pKTyE8dEfQz##9T4N?
z!?__Su(cHm0DG5Ui8f%IJp365o^*>ol!d+ZZ53?-q>dlkwy^-KgYXr5IIsJ`(JygB
zXOcs?h}Wl=HkFLCiZNo@2!H6pbp3Z#;0j@*`_8KQ%GD=#`xJL#<?aqoK{0r+J(3{q
zH(4kY0dibDO}>s_Pv!Xpq_nL-(s6G^QZh!4_FwMgA>TJvBBEa4x!orlhlU_n38|t>
z(AW^GtG()18|Z%}<|psxylp}`P27_UIJ8poRJwc@=|eSR<<|<2-hrbW;xT3NePIOt
z2{#3+ixtNJNDcq(MQc<Z*mvb7SVjGgm71oZzuDcgTW{MI?WaHEy}QZW{@@%QNU9=(
zi)-~gi}uskP~96$FvK`nmb+vBhZqLV_ri?A`ey26vqIpRd>6zK-HEc+NEx<z`vW@u
z&P`ckcWE6x7XvA)b|@yeG5;Yv8!5kwu`zV<KCzG?2S-HPp89ZEh0HC;I0X+hC2`}S
zr^@q*h*XrI`h~6j#8A8GZp0=9m3UlOBp$zwf^jj3q^NA}ey0KT?=<K_PJV<6m4G^F
zB^wWX=NUhoqOwwquES+_hhmmx6PMfbnPO>GR0#F>P^+!QK;a<r!;>-kmKK54T!j?X
z>_R%6kG28KivW$1yous?znO|^fh_W8Ngk3ki@q;yc(vcDI&B0Jej;;nw$@hfNb?)<
z<SQ9t7)-xK&^U_{0Y;iDU&y(juZX9os(Qn92?XvnlQ=<`9?|*@c(Rvs63B}D-<;JH
zy{%Oq5o`b9tEc5NG9Op@-$KsbFNQp;?I8&C-)~)@V2Ju!Wh&WcJ|oTIcNf(JGiQF~
zQqMwQ(mf!?%S<qwYul2%&Y>m`<gE#~;NhNVVHwfOQ?qM-T>VVRJ2*i#8ieN=`)CAx
zjWzR)%_#OQVrsLaEHRVe9!cUpG6qu5GvZg{knxWeos}eGViEKgotFui+Q!_eB`vSF
zA9*S^1;F^WJ!!CzatXfzBBFUa)xlvQ3SJ(oQv%{%@#sUSL>d+Ct4JMUMD0VTb>D^g
zt&>^?K6n6C!1T@=6jXWbMIAKtJ%EUUH4G6_fFw!J??Jq4tM8)r$8?%Z7^S})!6A$x
zwpIvFYnz}Tv06M`15dv5cQI>{hf#Xo_)xJpYZ8^66((AqiWaleUVJltmcju2nN@!_
z<#YULE$7n_&Dwxkr#hw?#h;N~p}u<~_#dHire87#galScAC2hFNFp$S=vWV?MGYsX
zlz$#QEe#!I?K}FThX>xxPyrY_9>VGcD$4d|Q%8_$`{V%*kHWYWl)4V1x035;H_2L>
z1YV2*Ix|+CWGqk9+(hQpN3vLc=*8}<#X=q}D_B+&zhVJCM;|Py=ll3~Tx8cf!tZ}4
zxFzF7`$QH;YWDsmY~hjxo^*c5%h`vufZ*uH!)x}M3^;rL^-i)Z<tcX146-^dpQ%T2
z04_P%g#?KXx}}4dJ*lVH%yLd>@twdNxt<@})G>dF@pd4cHTrOU5bmtm6esqR!$hoF
z%>GJb36YOXKfUQ_>G^rIB}jI81q*}5pr*Ik@Cbp*j`}EPahH;#qF4U81v=;C%(0Fk
zqPc%TlYsqeFUxJtam0Oep;RvdO}n&#C^K{$&VP|EUm>1CyC_JUW%aLeMlKrq8MWxO
zi+yPle&CKe$z5;Ssvh?|a&>;R863g1wlGCXlgO_XE+z9nGhd@aF+@8F-n%pmh=7>8
z#kUOV%um&4Fejvnj)QWucfp1&li#tmxl!<LA7W+7_Q|&y-Nut0EUO3Zp=#ZR8Yqxn
z`cPyMBsD7IW-M_u4W$V|Fpcfbzks~S=jsHd;!G>B622NUy^zo79n^(b(hKGA%@q0r
zE@Jl<a)D(4sv@pB##tG*xl{d%yb}lm6E#S{(k>dYcla!?m5I%|dDFN;xND+RVjz1p
zj(t5{Sh6VCv``6~ujca_y&jZcPiH!jA^1fR+bKfLuVV$X`~Omx*UBFAfo|fmWx1kQ
zyIF%01exqDb{REY*MzvIHkCBsIC5g3?rMH5F?)#~cRyc-01Q7$m3m=dPV}}=rG`T;
zd^gE7?dYy-A`zqd7CHJF(KM8|7$&9A+4Z*}<f370f;$p9JEj7wN;jJ40DE5)h`oz5
z;?q>K_cq%H$b1w1!oPN?W|)b<d5`fvskt|WJ+I-pYMKeTVz_}$4B%ZOIMdOmj2&E)
zm{<Gsz5QL%KB|w*Tb@XSjoIKmjP3GBCy0)i<92G+lS%aV!8FBf60Zx!67FG%_!J(F
z`PA&8gt<^k%I9>t<lobk5W{PPCkIE`aoN<)9pwcQU{6fF=CLt8isKsj<~hWMh3VeV
z`UB}lE}nmGZGXpUlM@d9<*;wr5aj48QY^IE7RUfYqVs?-FD6vxO%-fY9S=!{$Bp<~
z3k>r@>!53gf_b~C@$CTv2-m^^hxdZd94~YAS?!*+hCM&5)%OK&vw8R4UQQOaqecQD
z($2<&IWIL$)zAu>9#=TmgwpmQ32zXyNWP^M<?If<Hc~~Q^xV=8zMRz00$AL~wc8=w
z$HOEc479f~UW)NDBFwaT#?I(46?%bkb@dmQjI(m_v2Yk>Q5;I{W7!>b+`bR#+(Jte
z<X&`f6Qkklo}WA%f~#xVDoHfM87~YcyA4BG)CY4lFb+tUJHMJ;E+QWvqQjh{_=U~+
z-f&G(PjuiBYx>9{PkR>M>OLLh1Z{oW^b0Tu$p%Hs(2ebt@?bCcS+*7qLh$bAaZ#}>
zl5QNkS04Ap3=}|)S<HgTi`&Q&?@#d(h&o3!*OmHEd1%YoF_ta!kk-U9vZxyBhSQ@~
z93eZC5Z>Gw!Z!!VpOj3v?@ETcqEPlcyr-lTb_osz@wZ}SOgA|<yVo&eBw;tfgIluP
zZ*Rtd{=d3$N4-tJ1wmlO?GZSoYE+_ImQist9??8npE!6`5%kXE;y=sL1)VQ5+cP_h
zqM({UJ0xgp(2@0f{;a$zB%{Lman!IPfY!PNy7o>M`e9)QjN?KHBcY=gMn}#^{Mr*~
zeD&;Za1#4(Fp3^cXo`2@{)RQGxgt${{%*(jMC5S)R=L#*?BoBwmq@$x0*Q%^rJdi<
z(&r`(+*LI?dE##ATURB}zeu@^zAvgAS-s!Jci1vfBLks;eg<;MYNQ>Nk4g=h8N`h;
zmy^XgoU`dz@^K&f6X+2%(Kr7tuMIjeT_*%w=bIY!l}#b?n)fJ1hmY>W%LNo)SCfg6
z0=A~cZ}nop(K^)gWh3rSCS3OrDW8Bg{x$u*bx7s3p)<!O^f=wwEJuZ6FA5pMd5Xlj
zgsk$ZqeD+KbtaS{`JL_WuY<D+{9o6R7F$qg^kxfe{QU>KyAh<${zUmb<30%YnCO@F
z%xj})?5i1r#tl4a$a{#FfgsemRbjsXpTI781hp+VvqUrINC8aI-Ls*W6Q)w1*|Em5
z05)v|LRY)5@$9xjj4dO|Hrwve^YGuJWYxdw%$&_960Z_jMR!8X?%)#~iV)lAjKD9B
zsrrQ*g8{oY+(-<!uY3Ild<j+?XbLn=a!$>yoLDuSarulvNZ*unoaK=_{j^1dnYS*O
z8dF+-Fw6|hnQFB@d~?#fEBWI9F49NM?QGv=+<k{RPlSXBpY{SLq5sJ<5>~(Mq)8if
z<6~^{DTrvbpw|uqFD_SST|oQ(_tiauCTe=`)fAz#)u?gn30?7hGN4A)X;sJGJrYyg
z_nX0R>Hh&SLC(HQu9m%#5aef-`&jIP?dJHXHXuCM-=7yjBw22<+b5Jm-Az?^#*NRS
zS;csk(|!=+OYC@;<*@_f&c`uc)T5&b0JuXY&}wj_1a^Ai9Ws`BcLd7j4UC+#<WknW
zByf>VbnEN2S63W8`rn*LX_z?I=J9P-cJHKe7)u<R=7AmOjmZ=ShcA#28mO?mhUOnT
zAIEMUcu`M^r7TAEwpVHQm5X5g0^b&n4W-2+J@C~S8DH|;tykg#ET^Ovy<R)>70|Ae
z#sxPMA3k^V=-($NM$kMke2@~h1k!>rHop^iW8W1U;&u{qN{-i==YwDhxuI)h^fKFZ
z<Beii3n802$>8aH?5mMgT-!c4a>0^|vKxE@kV9Sy$F}ynnQVVwxWS%<<qxSQMtWhd
zbSg?5a~M>zX`H92i4I}RUzHdi{bkHKIYtFI7M??{ZtWkNw0Swk(S2niAJYj-H&b~9
zPNhxFt7z&OnOJg~_Fb93FAugIogjs5XFU(Ix2`5UU=-M6>Ip?}D^~vqMx(p&c>-<=
zhj#OVZ?fZEmd}0}bw-Y{lm*3<LoNdjd3>ksGyiWAg8+?g<&aTLFDMF4c^Oh%xa6M2
zU1I-}DdYvZ!tU*oMC@_3(uA=z7$uI)sR}oXsNe{>(iPtKcp`I7T><lC?hCst#>Z_R
zmHulzaL7#a6bs;xkyZ(hOUtip?o~`ISs{O#DM8i26OI0HfUdC19??uF`r7JB^YHqI
zRg<Z?r5R4m<s`1`w#O5j({gOiA!B{Wox{qR4{g3X_xSlPP{>~BFm?!b7<*{++$E<h
zuJkp{b@`+I<CWkTXk&<R8Fq3-#9N3l`2KprUQn)(o%6=2zqqB@zG0{381F;I4~F!O
zDKE2mGTV`Ufn|=xg2UL*A&)ATJkxAnwOE1;ms-prJ0f3UhdrR0gcxH7uuvHfKLBFw
zjaghFvtk7o<o$u|A8}5Ot#ZhrF#wPH&fy7_4TC3edpbyLrI5{M|6nbo9ysJ(ORfRm
zALu9IGLBtDXS!DV^T&4BeGp^R8zhSk_4nZ&D=M(F*E|8ck9gz8vYVM>Cz#{Cz$|TV
zfoPUROYi99HrvmfPVli)oF;`#qGEI2&~%K^@uk<hl|p=+$scfh%Kb6Gc(kvrzC1qz
zp8xQH3v@`w99o5Em;_v-9sAan-ORee**G@0y$P^c7C_HVOx|kq{dq0Q2RdYul|yC=
z{7epcZ1a*&54|4e>tmW{a@-u@mE-vLJCQfWFb;*)XgY=D<+<?eHG|FPud1&3<88ka
zbBsA;+<n3X!xVv4-aGkN+na~kAv2*uPRPiw1TKDT>Gkf5L=q%X776tn&|g8&4&E>Y
zwXqpv9zIan-7G3l5s%OHy~4gX+DB+|?b7Y1L1*O{cgS!$FL0molDhUm<<tc>KO4Ww
z5(zC6WUUl3${~*%mz?h1*C>RirWZS=w_+S0xMmV*V}P*?d1LcjaFaJiL*fMNC?W$N
zt?au!e|mXY&!qm?pX)SxAdfXmf&pfHE1J4Trqs5t4ZA`J55Ji{U30fkJeETqyK>1d
z^g^WAGE;fsh1%OkPtbn2d~ymU+!po5rnA>v0V|upK?H02?9!cQo^i`^hKb+z<T=e=
z-eb+IX8|FJS+HGbT)o-mmGr;V@+_%e{1t(Vj{*+47PxrT()Zq6A`%PO3up7-7rHX}
zioNFmjC<Saun;c*u7jtTcBEPo6<h(c-p=pVTjy;*<BXkK&VGWx;<F{%PXo@gC;eD6
zxlgPo0=5ecPpYo5Ib3-Z_2S|V+1;d&k&AEaRw%bG`GnJ<cAjN~)q)FMkvQ+eol}z|
zy$igtxi`pa*b1LLN@V!1l|8#-%eF0>fvvyft>p?9EgXA09mkkM_NFoUut_bWu)3vh
zRIPu>=6j^)!Ayg<wL*r_CCZVDS1x^_*PBV0*7jO3{dk2qer+SfxV09`8=JJT8DrGn
zMh6j|=nVUW?ZLY?Y}~khZgzHde*NtF8*P3bF3l{u!YMg6?{`DRkh+e+3H3QPk5YX<
zL1@tf?$$2847m6S<I;B_-7H3Bm1F0}TX9_0c8dCho|#ci4EMCumYT{R))<?nYjODO
zFxzvL3+%^hX4lV78?;)DR;M@47`EKEEaKw3E{tQgGjeQcs7JXs5SaBSRBGFo-&}?j
zLp(jK9Wv}g#_HV{EPZy5frBZFg%bJH_gDOOzfPqb>Tani%}tj@A#co}nx}yxO+ltI
zIRa*??d`4$?DLC^vqr6Ia(rxTY<yx$tvBe-eSR5c8~)In>%<)68$+;S2nft-+6Kne
zb2jhm-B-i6<lbO13hp*VgAn0NmWipQ_cDH0!xbGf_;1|`=!#!%&_IlvYf5s{0LEr-
zY=tq9##}z5?nC?D=<OW_qh@k!WU#-tx3_O#cvPv<=?s?;7>x4=_G6#3bL{TvO@TZ0
z(AL|=uHh;5B{t7KdnQ<fLOoC1A)6YIpo{NTOxp0x_#l&y&0@0#d4aC@(AJBy-M+j?
zr5+pXYQh#ige(*l?)dy<5aDrW368Tj*;5<!x~Z|@zV43J=H}*>w$7e`k#UtyJAV^_
znR_R-Z-K6eb6$?u9jgOCsHf3BYV&Q{#<5IgU+Cg%L8v!*(bC7KJ{%wvu&j@8t~=%W
z_`Ne!Q=|Qzja5b2sqxYfKiE@Y!r0wBc$UxhyTrci!lApS4VsCO{;t->y6Vcx%Bq_B
zrnc_>5v5wE*?gZphp>*fZ#weQO&p(a-py%j*tt49FoQY(gnHV|HlH2(Dvu{L2WXf>
z#&U0YST^q;OMj_Lg~ElCAx<^N&#zajM*BM&DvRW)@sZfV2h>yH4i{-7X-oqV9wX^7
z``+j0YYYbU_)t$<V@-KUVSZj-K~YIXZDU*a!03cVuiN#6BNsA!?c^Mra&IiG?=2r5
ztW&A4w%O4<BoUcYzvu)!9p>Jovdlu*NjEiZ!~W(iY#|=&xgXE*vg_l6cj?urGpM3a
zo*Wk$>?blWe1PVGcWLsNO*V%S3+;=Gbo!~Wfv%R?ilRJuMtWLWdS-ThaYap2d(Y6=
zq*iaZ@I}W3d|!9uIy=X>4iG{ekX2mU+BdGz+1`n4gvx?q2H6{Jxrf=jlG^rx@u{<x
z{+K+dWDDW0Fp_z!w>8Jh?2o^`Oruc__re9MS;?^xK@y>P;e)$bQ?Pg({sueKV{h%y
z>EQRJvAQHbD=jG@E-o%!mYkNAS6ors+|f4-WU|h9`FoD}t)Q*|9EUkE$5wrBFx1N}
zZ|EGF)NHdk9lux3$8;@v`g)*wMbO2kq2O_H>i?GhQa`n@K&)puSAPn1#alboYM5`U
zEz8SDj0q3)g=0F&n5e*<F_Om2uswFZ(Z4q6wG+d=Xs>p9Qe1RoI525+d}3Nweo1A0
zODB-YfaLYJI4I!zvNg}iIkxn@K^>5Rbbwm@SDTf^J-$M7>K7G5V5o;0H>$xas<h87
z{iXI+G6ih9C5?Qlbj6WJ<}@mpsHiE)O;3aiRs{fKiZ#YSQ*e0ne0$~+9fj%X8NC*K
zUs`L+^0QJBq9Q_q0{s00f<nTh;u6#41*O#ut=$6(D3dqeLtvrS@%C}!THqMv-mt1(
zHqrrF0?J~ZEi~;#!W=S#i-O1Ok~;8;s!cWk_(eIxYDBi%De}kPU$4_nDf&AatBP~d
zU@cmVHdB&tZ44JuQ|L?{hpV)G8r}lie}h4<9v|##u0eaXBSQitVv$fN5=#Pt!=vJp
zGI9#bp-dhe1u|K;>v0DhH2Jj2%<+lm^Pc8rPWi$UqPPywZMM0uY;O)1D=NEV`(*Gr
zFEDs)=o*@wI?sjy8K0Fgt-8zHPYK8G>{e?hMta*DDhg4)%^zZnZ>B`fm_(sLO%Z;T
zop1CxjPOPWI-9D{UhVK8i4UA<%i-_@B47XDi0Fir%-rINy5^4Fp|L5gUVq_#><;+8
zXw6G=evVBkU#Kjy3gO8*wdM+&PftG)DBv+MS&O_EQWhamiJ9;f6)M#YHZ;_HQNiGw
zYiOr}<3kV5Y1QN4Q4b@$6qKld3s%7epkK!mZ_?y33W-m%$Luu_;Y}&}U}6t0Bn}Pm
z6>!;1Ixr@SBM?afLLy^isag5Om31whc))kXyLL9hebVIo9ODj|!r%)1!+^3V1<FFH
z)jeYK&ANaq<S<MNz7{Bp+P3~NwZ@iNJ73h&d8VEQG$VX@IsW`gomMqAV0zR?1WT+j
zMr)p636IS;+9_9mdvIP4-9Cu$(Dw!I)rRZgDP%H*N@K9Nd>=_rs5CY)O`cy`)zI42
zuTZM>y16}H*!8xbH03(IuD~3!If)GWhM}^Uw>d$2pouMD(<u0p7@qmTUop45zGG0S
znSIrU7yG)E&Vw7yNpM>j360N3ao%$D3H|ouR*iOYqz_7CJi-%l;e2C~C-_}FumF$2
z;nSn+%~Skvy}_VS4)?Uy!o*%&1n&09-XxM2iA1JAl7&8gL19sGN$J^zW!11Qf&#v+
z_u13t{BeVoK3-|wmd&g(3?VSXfRu&y!X=NCH`#w>T+`}McT3JfD$B^PgkKHKCR?V{
z?l&;F*gQZ_Y);X#<tz4Ht=Fl?0bKP!8mA>hfe254=i59yu$_BQQ*fEB|F!d-{(H9G
zV0Qa3u_v*7U(g%D?+cqJ6#EB<N5>~;<l+Gztc&Q*e3tlj)c0%i(qo;TV~es7A!UIw
z3|g)2tEX@G5pb=Q1(pSgPJ+p|9)(J?%a%z0$k_rGET)l2-eeQU%b+Wc{CkI12jVUO
zS6M#rk?2v6B0Pk#C!RFsG5vPiSt<Vg@r?!$;q`aG4kQra;fXzSM#Q9Fm>eDm_(CFL
z%mH8D(D;;2XSkGbBiws6CXPv-PRubr?+xjINGxYDG^v|;#pe69i6t-{#&pNh(mbDl
z@Ys|bAd&k(^mw^VIi%a8=v<&3$#8iiJl4G&9DjN3v`#aDG(`y}jlrWH#~4Z)m~8{j
zn8PS|+Rk_Sd5_Tuq;X$+J#5{85gu^+47|)@nz02X3{c`6zDN=n8W{@%z7iDhjVM)m
z-Rw;S52L<Ylb41T6*@o1=pYBGUBIpg*ix_CVe=04Us_mv)a7H&S+MxxASjW`>N}v1
zw<T$D^yphfR1TX#qtcih;j(ai=*jImy$a?j>MM$}(`3=%NE(Ch4tUgiLT8K>qFLgN
z_BNn>c9GtwQ4aN(Ga@Fp?`fWg0lf*FB|rgh$rbqc1%^rEOaY%sCO<-GjPpAf#{y^P
z_?Vo9yrj0Ze@vsj!saLG+p%08(<G7ME7Cc*L@saW98_wxciHrE-%PTZ943>==83Sz
ze8-;q|KL)CUOTDi?*y6xz!fhI!K5)v_#q?V6}$}Fds&aM|7<ttP0~0s3AS#42#;az
z&c{Cl?BpLVlLau~lg6Wfuci^zMKpT-g|8EM_cy9Aj#*Tv=NQXbU}v0Qzh&ppgid$A
z&3Ei>Up}@U5wC_&!B+zg%E~OLZ0ZItX|Qob#_iEmE|<d-h@m{mEpud?_wzj)^w1gi
zv^7)~=VF=y^N|?FUQij+fimXl?5yA&J#^o!Q9lWbh1Gb?8+9Np#CV+*$z<>h0s)^d
z7Vu@}7FE<Xp}L4pH@nC7+~1pPg=14EGM-_`EUbicS@iR^Ps%!v!-uowkwiuVcVM9q
z`uO7N=AMx$ozcd`^gEp_wovHf7mS3v<2XL_%x=9wgPd_~c>xft5H3s_;}~Pkm_yCH
z*WUN~`YNMQgZBkxrzS*&S=_$+!f735nT!Q|e35Se2>4_vS$QUztk&yxK5Oe4?YGtp
z$ENZ$bf2NoN%EqaRyYRWESm?9{XPUsad<r!HabFy92g##np0BK+6z?ow2fyof4eb}
z<>Ma|76rsfMW=)E$46ehXc|7~p)&>nUS@J!WT-!ci%#_>d3hmc3<54Tmm${MeHQ->
z@QqQA529kB9I6*s{6L|k$1xbMGr8nr13t4%hD{eb<5f2H!M#$En;ILsCOF2=IH5iZ
zNL?vPzUi*CSt5T`#N^{AIuOXv$NPd<54>b;Tc1LupI`cnA<Vus28u$Zamn(cs&2<{
z{PA^j2EAH2f}C+72=HRUgZxCWF9`TZfU%bsY6{|T=s9*P<KG{eH((7FreYzM5%DH@
z9zV+t`ylYq0^X=DBJhy_nT*v%YMR=6hsRYQ-h0fZWb#XEiesoO&`FLUct*6M5lCdc
z{yv*OxR+x%*zRQyck?16NpNIBT3%UQdp~gUb2gurf4)CFOqQNoTHEaiUGc^3oAd_l
z<S6ivxHE=r4lqvvH3c+)5S78^()~9sc^uM-?8h6Xv2+^{;joV`EYMekiXW!)*NcA?
zFoEQW1$<nA*gpu9$;B0QEnNenQ+lKE8e39u|1Qf*jafS!n`;*#SmQ9zv-%m^n{6NV
z<8Vx|9$IC@<ci=+X5^RGcl3{G4D&YcgE{hee?n4zMSY+B{`k||wi%2%)%b94M^jB%
z0d&R@!C0FEjxos_iBlG{*3L#_U>}~3rQ6zIu`m@Y7A_Xy9rsyS$z(QO7lGO2(we4@
zKE<SNW@e`iU+EXt5XYvR1*8s@^@?j??LxoZc66@dq234#WNdwg$UihXF|(kep<`fN
zW0-rw=GQ#*kgB-2q2FGPzr1aWaT=2pEp-*exf#G2!+r`L(i9|!u{Rk=3O0uteYM?3
zJ&!!S*<gUZ`OURu`I+Wop{4k7vJYcnzz1Y95EmJ_#gz^1eIt`v%_U17l795)v!!c@
z<8}BMQ5p=)BI43=OY5OT*8kb|vuInG=9v#z(t^eF@ee~FH+Bq+sSPs^+1`nG<fSvZ
z#_j6+I`YBo+YEr>3B^EnTSIkezC0B+0Q>m}Fiin4CSlKV4qdGI(4MzK_UrA_MjcAG
z!CvD;Ai}XeI`T<0h1I8lkqn;>NG3yZAxq0H0wDJfkM6PMQ+c{HcMWlD)i4C-S!Co@
zU|HlnHjm;vtf2Ft21IR-s0E$H_X!A#PRarxcMguLjnj7$>3aF_H9Hz{e|_odO-48~
zVsx;ly|JdOFgradP8t&6E5e+yH;F_-l7huyF)D385p$e<cB#RjRSsjCB25+*278T}
z^pi^Cg&&8tOa|g2Ff1w|HK(|$sd>=0g_Dn!nEkOc_X(NJlzhV_GOSMniEOZ8{seB{
zSJO?KjqqJCY?ytEP0lK;gdl5-hU=Ga-0x!c-QyR{O=A@Iwl~*S6y;_n$45bD%;x|X
zi7@u|M)e0aCHgXZw)kRp=+Ui6Q*^grm1rrJ*jp@Xe3H+@To<7Om+T8%0SI?XN+xV<
zeR-lJca3puD(k@x_+)u;O>6I{+AweXA&5`1={)PC1%-iwEXP1rPa7{==A{@`cHos8
zcg;-C07U^P?r5&7EXm7C1@T=7OjEF#G@vP<k&&dJ`s;0JFg<~NekITpQ;Po1rfTbS
z8=4|;k_hkk4+NW;2h)IDp>I$`Y)V?@4qGdFYmH-5@(q{BFpJy<6AW8zpE~k(Die*N
z@bbXVXfikg-@pjWBO{G$xZu<*PCWeny%)|;&rItq6z9v+5@RDn10^Dqrl6Q9W^w5J
z&i~l|p1(b_-C%^HFxt`iB^jzjqXAo_rD+Q5PXq%Q9!T-=4~>%M-eR-Pd$c$=WleFs
z4xgBbPU}S`r012@cMOi}^yk`M(|;kHg)bEMz-Rk`*TkhoLr4GUl)<>&0mS@)?R)2e
zOE=BT&KR^RrDCuLQCuJg!Z<1{NFoOD9Z<$(;El<EVjzs^j8fZoq#SSGUN<wXH)#ra
zYP{6cn{R`ruzVtxZIdGZpul!pj@97yP!Z%<0yuW+K6)#2vvj^ei45C&x`rq9`YUZ$
zvyX(ZVD;71jt&Q3LysJn0)oAU_CAHmFg<rSfz;N)PnLKszkU7Uo^v+N%+5~hHB;jw
z{XOl7Vi4W|VH_MF7V_9kI>eX^Psh=j0JN-Y9iZBeJb$KfT03FU6sB|=g>=%a@ku@r
ze2asKAAAOpF#rz$j-x~1?&G!Mk5SIT1MRN|5*apH!1kU=gZ?JlGX?htvaxyy0vYb;
zGD(Yqih2O@q<&`RD%)GhUfgl<-=6*W=aXK~k)J<$>h{aeSU)>AJEI4#cyze0tF5UP
zC<;h%bVP7~FOU?#8B-C(R2rn15_6v2<vU>C?wOl5z=Kk4P*bGCnm5uECupen!_ULC
z!<xb6G4dWKbV(1cJ&w&1nTZ|c$i~`xjMKI!Esp+8z{2Vw=$sn~_sHQfNtyZOb*;U_
z6WVFxZX0G8V)odEZCkeNy70PtUU+BkzJtf&eCUVI-hTGpYtP*>KMNq926|#*Y-FIP
zv!$V?qBu{U1}O&N9ZVTBfHDT2m;!V$lg*???{vsAs8`Q6PGbk9;9=4fq$yBu{>e*t
zC;BY#gauF)Y=&@#U}*e6QO;WA7?;Sf(IOs?_0-0hr)<A}*Na&kI>q9VsSKo%qZ2do
z%W7M@hm;!Q%qCk`Vmz^7+qP|6w`|(DY0IwjF8S-tcR%vP^UuHV{4-BH`oLYcTzARt
z?VErbo&%29pw}RXd%M~i>#E8M^Rm*C;vmHmA2c(9Mg<I0pf6@KC=uHoGE42p+vcZ1
zfH%_DjvthYgiX!x{1QQo&BHTT<aFDT##VNJ;o9TaT%ShmJ<^19*cCA_t~G8Xa1!A*
z9~RphWGF4f0bwzT>A9sf&0T|ID#Pr|CAJ;%czkXnv<<-41Dl_pUyuF!{5-&S4*r~(
zh73;vIWY(zZf>Y4FUilzOihf73O7*<oH3P3p;GA#NOAn;4{iVD7O}U^n+DE!4EAWE
z+D9}h;bG^Oh(&n#bVL?KFhjh7^v(i|W9C}o7?a3eP$J{89&CM6YK=PxG@IQdVzR9@
zGMrZ_hUxsYoRX@hj()|IZf0iNW426wdei{)!t}He+BAsb5WDjT;@R1mX`^1JRZjti
zM~3=)I@<xnm8FHb^7Ld`tTZe*08OF7D5gS+S!^05{!GX0``UN!M&OL$snw>M()`S1
zEKh--_p?<R<BiCugOtVaE+X(aG~4a@Imv5}<8`JL;7ruslay6h)zmdSp*Ngm^Q8Kt
zM{g8Ee}|1|KqXcPvVUk)d@AY`Kq7f|_G%lX=_4A0R;^Y|O-)WtsZ?r>R;$BItJQ$N
zo}3sTQw$IG_ja|nHq`-$i}JEFQWJqJ4h{16g%kr}OalzlfGh?S)ARo9psjUpUtpX;
z2c=r;D~of|6JsK9O+op?wxC5m0`yqKYSJun;JG%8$2;C`MI8I`nUpof@jBBIaO~KA
zGD=zuPZ|v86BrA1cL0Np9YDsWK~U)|zK?%!B+S2+*R^yHA#Jh!q5VsJ!3UK<^^T4V
z4*?q<QH+j`jbk=8s!)s!4-WM8c6S1X>uamZOA7Pk8EHugvC{C6KtEp*p9d8M4H^^_
zEDE>iIy<-3nC!scH%(*NHh5}Po)RC04oVTqQ&@MqF<4YaGl873wcUbo%v*aLyJ1H;
z@VZ`hNli<yV#;8=n85M(2ZHHX9@zpiPb3MBj7`eOE3Izo>{m=`XXfTE_|FnEdk+kc
z4)ynTcXa^k?CS36>FvX;x2L<i6A;|e)ByZ&c}Y=zjyxk3KpYhj3Iv5%2y`(E!<fzh
zf`U%=A9%?AMheV6xompIbWjSNT8#`b^;6iaDNO6l&>$lQDeYE!2X6i~4{#hTUUM9q
z%OR-sEiyhe7oJHPRT+)f5J<y69!16S$mYQ&EUr)z6b_@kVx%p`)rQ%*4L2;UDf92W
z{oU;?P4#uPwY7Ei^^HwU&B&UX8XLf0)>KuNmlhWShBMQW6CuPv75hO!!R0WS3<ex+
z2_R-sY4Mxiu>F@=+zvmw4LD=$)GBbssj}#>Ac+swN4Lc8HtTzD62?IJkOH>ads_SG
z(JRaxdpYCUv6GmarS%OaElg*UjK&)Y^jp51O2J39p)qD~&J|Y(qP?huRC!@JI;u0N
zot~RL;~z^I#&=J9M{|93MQKS9u;P-^vhwl@VCCiIWu+y>MFsh}0O9o1<iz;cXekb{
z5XfRSi-C;EWV0D$-<oR)4(D0KKDu(+RQjkY0nQk;gQ5V>W@n5|E;pSsrLg<obinmp
zlb4+o73{kPIX1_746aBLB9*1*mDjiTk7=fjL>_YQ=TpqHraZBc*c=e;g+#_BX98`}
zh@GAU;^OQ_{#dQv)!0;1UJU$gRwl5l?ChMJoZQ@8@G~3yRYrPRN^+ts4lx`O1R)l|
zIoWLJiy_1;Hj~0kp8L0b`^~Lw-~F47&>6$+OXYaB4Nk&fT9U>~g=gV05E`Y(?wJF~
zu2{Pqn`1rLoe~<Im{CyC&^a)!ou2+10Rp~krn0eJ8|G<Ka7Iut&=zSqMd<XTVnSn_
zo1Z`Lu|FdDZ?)jjodbk#VnRZKOqQ6GY_g<8nJghLHYQ3M86FxE6zDGz1Bm%t;EGvH
zXe>5>m>R0M#}V~s+>X3{;q;6Fp7%qg50q^~)3vZKuDcBwTgrD(7}LGuE_YCm_GN3D
zV>kS89eySW?|`3~xre}={MA5Zv5<elL^2s}Xcqbgghs`uWaR^w+}1NVI;EYSpP#?r
z>5~VOw^dXW$kP(zqNR}$5s}g;VA0T`q5;2=5#eDF;Q&9#u#nG(t{73w!XOT5y~57b
zcMI*yJ?m$1XN;9TV#0$lXKd-wv;kxDTr37DXtT}p^-g3L<*r?h%>`=gOj1k|Y#i<y
zRBC6Y?<U}pf8WMouxM8KH#n?E;Nu@05u2EvQ&?_V8wW^Uf6jd;ODEq}Qk;{P7!w&5
z925``7!(v792^1-{22rQ_V<@ad?CXEK8Wl%Y+!(3HiyFi5O-YaP>7Encx<Q9<czCJ
z^D<F8g|Co@J7XI(h1&v(ncgC;1FsZu9E3PtTlorPrlbW89p#9Db5NSPh5*PjL_j`z
zb1;=nw-U*iwvYsd0hgSaS5jHu+J)A}&CIW#-*NMMCzRp06%}T|v{s-Wz*Q{v^_5`e
zEAjOei+upW0Aau|4lzWS10Dt3c*S)NTdauLkvIN4J7Y9C<0AO&iU{^2l5N9uF-*0=
zwZBX<yUm70ZGUX%1CFI@mSamZGFt#gTcu<Jkh_N`v@^4RCvx8Ng=BBsPhs=ZutR4s
z+>4Q=WfuT(0mq{%)xaljSij|}XHOtvZ!65t!17v<SAjqvG#mIo_yA$RFqdOCz%V1Q
zY|A4KKSs6p<_$Ag&KNr5{47)HgUzI30iJCbdthgy=?rgr!y|SswmHVmL>!BG4Dy=f
zc%A7e0t2Oy0m#MG&E3PuBNMsNAGcGOtc6oqF_#RdUZJ&dKqdo{p}N>GzhU=HuP#>P
zyR{%c9S$_{6$v1)T;2lXS{UYXVUmOykgvY&UE(_lPGmnne8$YIK?4hTFinBgq461U
zmZ`=|yUXUbHY)JN^s2iZeYLxD<%w&VW2_k&OC$RRMc^P0P3UH3?j%xUI<!kbH%-a5
zcFBIh;b?7KQF%=h-0U*0(i&#huV26E!n@u(uJCe`9NXgIE8=r8To*A8K$ybtl{M|S
z^Bu=CeDvty7tWiVoz_l`4&svzac68=$*^RKt#vV#&LmUw2~9*ex$Vf6Lx0R&%N(QG
zELc4xG9Fc^F_3Q|G;QbJP_mV_u#9HF=RW1ZjrVQc{Uc*j8vXR#h7IetUUb)M3#%ia
z{6Bl=0npZU^>MQ#A+Zrifc63*_TGDMvB7{R#>N=%WEwmYr%5x~wE3FRHf`D_X{O_C
zjFU9GNwZ^TC(TZpJ=(NQY`%N%druM=!_feo=Ka5~I39X>@9C%W&N=tobG8~YBUB-Q
z{=VMcKGQMAsR_g{U*IDR&0c-c-Oo5Mzh<ekul{Cu5Z45)UC~m9bH*0N7<VNCyA<Yp
zF{ap)=bmX*e-)@MqU`aHmt!VrfotE$!d_x#VMRmxS`6|nHVuqDZFKjf!XU~dlg1~0
zLXm`wjiX4eZCbu!ZP&)$&D#ft5z1p%{P8buT6}B%``OF){qf2jP5EgC8KT+86E8O7
zf(fBm5gwgczkcMJ<1fDJfN{3x(>phh4GwO@ZHbmQ)RYyFP8f9eWUH1w7>a4Xm?y~l
zql1c;W@vBbkDX%^$fO!s85V{67-Nt(4-VXD)69&2|3u{O?O|b(sj+d$xloXK7>MMO
zN@GK7`|8dOJ^fp@4-Vrh`MtlqdGhop(}t{`{rA@&z4EueOdP)b&$r%m)1Uu**U^Wb
zdHsV=7QDU7X9xBU3?Y|dJ#r~fe21$kC}ZsBMb)+eF`i+IxgOcKIjU%BrpABt_IMh|
zBHR@ogN%IS?#+WcuCwj2eKMKr<!ND(IixWl85@U5PE5<nD=x3DYhJ!$O;`7(K7#Vj
zk)eUXT~{2jd(^VM`f~CogF|@F2XZNJ^W;oiO`*2h7(1EjD9HENlj~i0=fXWfh7iZ0
z@*g+H(=D=!0=c1$<dLtotpfd%ejh#_D8`s%H>y#qFfdrE(1u0CB&25M7M4~S8(P{|
z(kKrM4h;=%@9SNFIgr-qn|psch#X_wuameGB)+3M9a3ouSiL-*E@mk9;P}-YUx;Xw
z*4Z6dX)!d%Kfd)mljt-uY5&Uj$T(|(K)(D<+wSa<IF6@j5(k;ZfeXg*JPd4;Bcc<M
z)3fu7%d6@d8I(6~-L`Gp<}FLg@i!0r41Jr3W8Btg#4bfrj3E>^*TP%y+@U#RCnjA?
zQ7mu^Z2ya6^TjiCW@|Rf@v><kGd^-f{qi;4{R4yhte=EK^!`>~o|lD}Og>T%Z!*eL
zp$-j?ic3n(%qb{A{slsLRcBXsPj6pe-xi0?9kWjVdK6JSv~4rpuM?+?u}h%{p?iP>
zvu%tmrrL#j@;RzrYX?nOt25hJdrV|<ExZ{YxuBwM`RWb*I|j#X-T!zbjpsqSPnvBq
zX|N^~1xe&8tv(_qJ}E6T7o%L;)Y`GSvui`o#{R`=2{((re)#I)p`q=Yd)BWp_v;MT
z;$>(*dbu6o89Pl+7kl!!`rQkENoTfZrACL!#eN<?a*oY4LnLc~^T-9|b)=E;(C~zf
z&&01Um2f;s`)pUUO~&1a{R6}y$h`;+kBmv6P_96(a@)!^>(=);w#)~tuO7H+co0#%
zX~WtTt@YK&F-}W}Ht1ARb0>Si0v?^ApdAVi4~`(~I)~M?&7tr5vssQQQ7Iy_B?<4X
zi%Lk(FRyJ~wZ0dDd^>oH=nS1+<;}ybsTemI1$^ioaPA@ixfgO3LOBXs<t*eX*VH5T
zVr}=Ej{JO~`eO15Y>T%LiW_Rmi>CMMbf-t1&rPwDDO-%gT7f6uO;~U9owH8=>0vo$
zL^ZXb_SQ-8Zs&B;|Fx@k+tA>3HkaTW%i;3Ls)&hXYIznJ<v?VV6)G)4IW{3RGry$L
z*x0tR>rDrKyg<Ew<np0misF^a8;#|~xulW3Mj;{nI{D_(wmA^7i0z0&;m%R^J8(<N
z-1_$hieq1vW6QdFyh&7tK_+c8H*Fmpywc`^$gi)BbQ9p-t)!e2S0<CiErF+(ub(h5
zC<Iw$oQX?J%PuT8HnnxW>A;T{qO)(`xtFH66H{DKjKe$JuTvTXb}5`p6muwtg3C`{
zq~^~=->yR(>trI9V=PM_8G#%TpPExz)6~(4>p1t?9&&%MQ$a|k=7_q`?gb9zv8PO|
zvIdvKWfhj!Hm~`+13%vR_3x*Cw+B<anYP84;*|L4aGer4#>k}*0OC6*i)1mCp>Pvc
z-eJ>HsIB^D4Z|^)<(P3Ts0EQ=g*Jj}o7s-*IEP0M+CHS~wPBSTpG=y;-UYGA<ReF(
zvbT?40G_c-HM^*4ShbiOfA+vHM~8+7w^0-~87qtPvr=$)M>)pS*vNTY3MX@HhrXQH
z6muhnpZI?MH+Q7IT4mzcmF1WT_LxS-T0<;hs}1MhhKGJ<#XPr}dSg&dkxbcS6Uyir
zjIFYWn18&ls@(yTJ7D_$_5GKP437+M>+d19xE52Knh;|^;T<)oj9OWr(-@m#JK7Wr
z-24izx4#{Qwfb~<c1je>u~|;ctO~qCM5YdpP0lK;sK;rGZ9_wszih{?eq%V4%fo&$
zmnPW)Wh%0aO2Tt_7m4Gq9=m?m@bK`Ct$jV~*Q{v89tA})E~UWzI%&sv4vJ}~*x7U$
z$P{a~J!<!CNgMQ!=A4u$tyJX0a!iX(;?r$2)%xh9%!2Y-Jndu4;Lx7??WyAV@MlRp
zj)#YUM;T=ct8D6*SWwZr82RJx{=Wb6(czJy9b5XkyH<C!Hq>Chn4%abDM)xnE#I9l
z*JgH#T{(1u!Y!cmh9z2!{IH4Tc!o^%$OvSyR24?I&0NvBam&E)@E>jHV`$bFw^sVP
z@;wA(vZ$-cD%0bmLZef1%bFM59-sZ_p&ND&j|>lN>)+J9ZdH3reNA~0itZSS$xxAb
z9AgWonDX=8-2_o1i<V|PM{m_-vmDP5<65|TdgDeaIFX!NQq$DFrn`T~$ncd`Pf3`j
z?;h;aaoq%X_zZ_m#JP~(_`Z0aUt)G?lY@6W&(xPs{%POH2r|Xkq3B%M)?8OzR+O8G
zqdS^nrj+8mohhc}CvdlWzN>pg=l;bT7I?1SszdfzLvy_N$Xu9mVm6;rZ8LQ^ZBblB
z^_CwV-gVN>Sp35qYXe=m0zA5d$;7$w1U|wLRd{@6apOYT<8M#hamCKzQJkUZ-MDT|
z2M+E^3vx1&<D*G*$52eVlFw?3oy?hH+7b)gxayU+EhWTAZ`WlfM{1>kJ_43wvrHh<
z`8NZJ_Uc+!cJ*u-7#X?A-mchZpWc_{@5=SSR+-Dev&(VYPr`9g<AUYgzJC7hUyKhU
zQ@nj^f6s<a>`)jhO7iK+IMXRUPhFd(J3$vva3pPiSmKgtq?fC6SdPz?1<1Z+<}r%)
zNN@Shjo7#N$%A$~g5N$img(o}#urd?!SLoliQ0hdas8`~_*~D?7th^!<@m_RDDo%p
zyvQ|pNLe)=$B>$cC*x2QQ+}~2)ix7jvpa#SM39@$aSN!p_LT)WUn_OGGCL_!!*V=R
zPUe|zINDQ(MKQhQH}q{A8X39Ou5gdifBt$=Suod?%lGiWTSahR{KTx{2FG*p-}fH-
z<K<(cqoczEWJuXsWQy^Svceo3+(m?Gl`@GqfT8$2j<IDC5P_KM=9hQr^Gm)9i_-Ju
zm}3dc@k}vAw4}9_Sc0A8l<cC)`qouln~-lYeEHLk*xzvW)J@&-LXI2XTPT*O!lILN
zOPk+xz;P|!;qw=c{OaP-5d!g+KIBiV?r3eSt12(b&q_;*i^fgl@Jtau#um@!7hC$o
zxbjrs!E^P_9D8gjGR3p&ImB@U%keB?K&GQT<Rr%=Q@+L8?tWyF$8L8}X!FI>zgm;7
z@bwkR^>JzW6)g_TAOG{s2mf^WIAVBYh=O?C>J`hIaf|SR+>F$O*vN1c+)0B(LcHo>
z=@&cAxDoV{9i5(VclAgZn7nWxMtY`<;@F$z_#91llI5hgd~PZ7Emp7Jv~_TF`0^(m
zRz&d4tNX{>ixOiJGD{jAlz02)jfZdj`JSDlJ4Z*z%u@n!TQl}2kXM|R%uL1!3Z$p^
znsXHAP)xZKOrqFb-*b3Ti+}+7TM6P=O*sDXZkIlvOcoh|%=DJeDXOSzS%Jg7;nAIT
zCoZPx>sRjm?ZrE;w7*Zu_aC2{{1ah#C-NqC;CYcW#I;rB#dt_rLJTs+8fHkD2VGP;
z(-u2TgP0_W-MH#CcR6lagTwSV%kdm?V#<d29=Nx>LK{wc%hxovuUX%VO!CMjCmsEC
zJ!4<s^xscke)!HCF5NXs7)FM8OW!6G*kN~~!B|yRT#%EIniv~ppiD7#D3Dw1&gGo5
zc4xsbE-5D4J2+fr!|#`D`{0~<s3<$ppq2#usK)Zb<z!mh^T3&8In`UfxU#NwW#`7t
z+lNO-ueEP^&vE+iSMNV_^3T`)boWlg@F>MFF~n<EwYOr3%MrwxsY%q3GSj?B0h4I6
zpqOEp@g~S>2Ztl8yKZr7qpi^Wg;|K>5SHWfX@+k>X5wYxjT^)y4~&lPx_gP2vcCW3
z<Ch;lar<>wUNVjd9@~k7I-23GPUKCrG}YB0pEw^w93R6BDWgm=aVT(2o0(#hA*SLw
zoSi_ile?_^>em;v1BHE>%x5{CQ%u5%OZS#XzC{ckC013BO>+PCq0x~`A8>TTwX^^H
z&wR{$|Ls?w{QdM3Cl1_l{m(DmGq!W*&M|^8GQ(Rp_fZV5Y+v47Ut3*Kf(Q2!h>=sQ
zluL12Wo(MwscbPF++mI_A*M2H0(Uo8zofpKUt6*gAdrsau^i7M3*Umw#8ZW#a4)L>
zo8;B&aV~l1=rzweb~)gsD}MRA+Ye4Y{PgKpUVZbO_ul*9gAd++@13{aeD$T%&pz?U
zgU9#Z_QxB3dDTxZ-i7(yiGN^%2ewlPcjMvHE3h+BiwtpbL2eeAd5R-DJgGq(NPER}
zY{yVMondT<J^08F%d4+?Y;pEH+oMCdSqTPJh!An?%5r=jnSBeqxQ9oH#U!QY7FX7{
ztmy3S+d4QhI)3Auj{H>a-7z*kKE7+$o;`c_?%lU<-z7-<F1~p0-aWf_jgJv{k@=<g
z9Uew*1SYt@Z&OeA1~NarjbgYA51-CROUCmekvn0A*kp>QLrkwZ(@P!55Q|ba-u2dn
zZHQ^@CmaV0S$jN(oSc|p$jG<w3#5l6WEGUvG`8V6r8wT(dz%9T`3D9O#7GEcgzGq?
zu`wFnQH1XhGQc}9z*~?F#sqhD(g-)!8LKNwixI<Q_;gGpnR$xb2?DXVC!L^}PO<Ye
zkJ#PKg|Dl*{MiNUu<TgfoRgIhjyU#WIi5>Q0uJXbd}))Mn4ViyS=-#PX2Yf}J4VJv
z_uT^<9u3d~+eff4tJ5?vfY3$kZo~8<1C02^0I$OYuV`;;X>P1HR#%qe;nP_eX(@Pc
zuR$NGrDmQ|5DWM-z2a%93E~mEa)NV54!(Z@hjr)Z_c@vI2A1Rb<;0BPB;j5#Hpy`*
znfawv4XrEIcK2?@Zt_o#I%tL9zAXckrR|@lzP`TR-rh}{dNy`<Z&<&c@Jj$*-qO@q
zUu&$YC@ZDsrza=G#Y7px!?bE8o_Q*whEEfxnDQr_%?y)ae>g|%E<hf!3t!)U{i#LX
z?rgVyhsUH7j(^1Mk3lk<WC1bB3Ou(4_fDy4#1nV>whfMsjb3`lA<fM0?cLJfyJ_Rb
z4T#ls>$<wS=pXA4xog*~S+i=@$`u_Qh~L)criS`DV@*{>d1-M`el9^cDLytj64_y$
zTB(qQU_*=`_QIB!OIu=^VrRw<(}tMm$_*;qb;zNMl#8Sr5XX8Y;`qloKF=C4#WJLp
z(;pAq4ULFR%E&FIChqq1Z$~8Wy!3zryo<>VIB&LQ)e6KaQ9J$X^5w0qEiFw=jg9s7
zb+t9sRh8vs2;hSJ+-&4Xq$VRzB037sPuF6G$pCespRYH8m`CkBaW;wAVaA!@ySaHs
zci!~U0`}ToNd1c9_{Ta1(kd~jWHKbdHvpMrjXny+d&s${Yw1|Ce$(b{L&zro<es<f
z^(;@US+^QRY)uVywML>^>erf@nrg&uMFpa_q`0WCAU`h$0i2$ilAMSf2{J%ERI9=B
z(<Q+{48z!)pdog#Kp1axrX6CAtGm49lD~X0|CwE=`bBnToL(8katxBGmXk_c1WA>;
z@EGJ=6qHrhx2(V<Z^tC>`@>82`Ii$NE0#CbRaanJYoWrz!h(YQ{Jh*;L~mwhI_5Vi
zAt4Ug;K+z@J+{I$!gvm<A9f}@n79saXr&0I(h}GVyCXBqb#wJlX7%26AurYebXhhY
zFCFCX$#M*llcksJBNQR$0*?|)&nYUe!2usl^3FZKdGZ@OK9!>_E%nvqMfo{dndxb1
z>9o?YQW3k!NlA$b@o}*+m|p_|I203%90_8D@$_^Q)R`DIH5hQA90@9<<Ma7EHy3VT
z%<?Oa{{08)Ojzg=mSgK=VUqEjQZX4N7MGlnTU2grXkCd&CVukRuAfiX?kFFsudgb}
z&q~AoZcI!ptr(=}=;$Z}FQS*=tJ7*Qz;Z-zNDx98g>-mQq^Fr-i!K?&8OBvVd_M9d
zINqUULw|VgLMtS;Q7p&SiZ;pgj0ECbXpx(ooRL>tVI(%Wr+?eP$k^D<OKv`8V^!yo
z>MGoVI6fMA3!$N*VU$9#5V~582Gfi1CH#gUH-Z>pYSyU-M%c_S({$OClyK*{y6_cg
ztAG9QKYkD^bujJ8rpKhav+XvavRK~3t0K5rrY<}hPeCUncdY5^>EAjqymM^l?(0sz
zV+$<%%ggf86JsJmQOIT?Ig(5!m11~9f)T!iU!jni*6U?~um!_zj5CZAYi=$ap`qoH
z1Ao7uHYGVgBiZzrbe3bdO#9V{b3v1Ah)%#HV?ViLb=St;Eyz(GAKSU_rYEg`bRQ@#
z%uI?2*D7SlTM&zbD2WlbNP&TY0f=6Ie}7+JUmxTMQvhRvd0b+K-3Z0xSBx-~SL3?6
zdg{vhZhFd&rlA+EhFFem5o40^q%!1O2*nb)+DvkNOZ)0|-J3RV8yp!M9~-~w?iZ~r
z7&}yuml_wLRfLEG{r&y?{3%g$(lNWp`eJ<X&}jiN!I)qMVK*9J;tL~$Q9$SF;x0~X
zzv{$?|3jX{G@ad+lO7YM5c{zlTPY{gLN%^}!?U9ql2OE0UDw>Us&hk6-<BOiqX^~Q
zSKo8mn*7Bbxmih3p-Man7t?Bz2ay1=i(@r+2H<G~6M%^y!N*ndE-voEu!`Z^UbygU
zFYVBOdUDcY!sIN+HpomepUhvPZ8D1ZatceUYMYj?Sl!j#yLmhEl*bXuKR<8^>|orP
zof&V?NX7nm#>{l_Xmlxj&2l3@(O<d~g7E-d7dJmudfWKjPyR0jbhC?aOvW{_99u0X
z^GY>efJw$S8P6$APS2(W;<c~pT;D@YK_4F*+kMrokGv0BAh|0$JuX}=3H0?6n4p~v
zUTk|g<WG5oU}C1ZZZ57oZ%uOR*smXZ=YK7pJCD9y&vI;sm>e8qlLPUbQeAjtTw+=l
za+Is<nwEE9Pq}~V_Q4TsmB)Ybo8zy1F|T>tpPdm;am?q<1easMG|vKGJOaVlh36-a
ztL(e%_DA0RpY|hW>YwWf$0Bxoo^5iXoeL^;;YIvpnG#RjO-RkiEiA31rj&MJly?kb
z2V;DE&y|0;@0G9S{8(<w&P<5V$dF%wH*RoekW2gvJ|%b3%F5Y=>n#pTukOF%w!gjg
z<qvy>*(R|Z+bv7)g7TAtWlBw$AsV?CS$Rce)wPW+?KH~U2XNSjT#UU}-*WG%f1GzY
z_@0cUXgbWp88to?*jb?K=0=7xa6SDMhP28xJAQfR122C3!(UytSzoTsNsSJbVUF2$
z^tOtrgCoOekxdqgf~5-NC`ZO7re@^eDd=@gtsSe@tn2RS+q?~#Wy13Kp3AO3@YmPA
zn2o+~{&-36%BtLWy&}+;>_X!5@Vq^NK;Y#smZ>5VvrF36ZrOMJ9ryn2%};+MF7TZC
za#ap929o92W-(iXh@VXI$;44c?nQK5Qd(ASVMzr>8Cm6Z8+v;Cw;;1TvU6-4Z@=4n
z<#l)7fBM5OX9@ql{qn=NUw-P*lgIA9?T@$J_NQC-ADWmr@z7JJUw`}KumAfa^d08X
z=POu_9U)6U8JAtqv!gXSePm2RGL15JFjlPY?80UlxfsYU?;Iz4N%vg(v)|lt@6)e+
z_|G5OcA^VKU#!e#Id+W9eli(@j@=6!^J%buK~TmHMs0oba%7e}yNF%hwqsxj!8|rj
zaNd2<C0AYh+dn+Qnp*4iX}bl-OHINLU8cr<)EIO;I~se+Ds7k{ib6TRsI0Q4uAyal
z2Vr^RroPQvwqeUWf?Q_A^3LHMo3~xCJ=88>eZ3lStfj}9E;R=~c$r#Mx{>8-Vw3}e
zLSzaxLK!<4shQb%g(YQG#=1simshM_yAC-SoBH~<;7rCa+37#9ZPDiP{txMsHjA;m
zOO3(*f}Bjr3k#!+{0oFKaxkLf6I0SNbMlK2%g8P_x3+bxT)nn)J!6@XwrySD`Fa17
z`m6(UEM+-%py=!c9rJm3Q7DH<<tk06J|a3cJ}EUlD<{9OxU90;Sl7_hf-Li@HS5-Q
z_w@E{-n@A$>sMH>PusGRqu8-y4wgl)G}7*mMmbn2SE_Yk;e=&mm$P#VkYTQ<uBk;Z
zx2;&Uwrl;yo=sbpXhQQ3S|7Kv94~}So-#941EGw3WpOa_FjN|v<;3JP3^TIKrR7z|
zhNk5mt2(>7d*57YD1LzYM@tqv2692<G%e`E4u+>U4*QUYL9?tkL=l)%(lSUU1EJj7
zzPfY$h0@^uha_x|S&kP<)2%W_*~`b*pJ7?4)?&jP866Xskc1boODk%d+E#Y4`3mbr
zIA+J0E}SfSW4lp<HYk>{yNp6Vg$l#0H$=w7r=;f;men*aU%fDMdH=WdQ4`DY0?V?^
zJKapp)63h(*Uvv7P>dXADY499hG^1J+1S+a;!;EL0~E{gVu<O`>S7*QfbBB!myuz{
zFo(!UH<y&`!ixI#3u5m04@@65XR>3`7ezCg4Kplz`4G!23X-aH5pk(GB{gjhoXh*8
z(FcuLcr0%K%kg4p8q01>w@VLCPuv4TqR>SqWE503y}Z;=`~dYn%kkpMG{=DQm#LnC
z?gBiDU8>T@q~w-0u>P_2`miaJj7euXUPMiw%0Vo%yTDr*B-ceIW|!2l`D5$#P94kf
z63NNJG`qU-JbVH|RN-+MMRjc6&3e6EOE?bjW;tFGF)+Jw_+I`&im=$Uf*RJZuwL)h
zu^cbGoSa<Tc%Hsud1y>pe$}a^hT;dPck5Y>F90Ef%=7RS$#hXEc}CW+uwH*R;(SF2
z%kk36lH;n=OAW;jP{=<{j38suS&o-bmK;~J`3mdxUOnMh$a1`-nr4sLIL~^$Rm*V9
zVL4tpu^ii}H)<Hag5&DM_ODnfS#n(Y!cs%=1JoPUEXNms2**AmnU>|)Hoab*m1tl&
zUTRr#T=D!;L-7L?w#O{TOD@(P+bIis?80)qWSYh?yPjvgUaev|z5ry&F}n_8gIJC)
z2(k9qPQAu*d?ASC*iNzb_=1oH$GL32!Uny<a(p4k%yDuqyPju*UaVj_z5s+c<_dfQ
zrP@fuF<U2Oy-t;7Ca@eYxy&3V<&?AeW9xMqbF3nDLM+EiCyL_$i8>-NyNr$Vtk<)}
z8S&w&V3y;h72(($acoG)EM@&;>-AhgTC83f?C<5ya=e6ca(3YeyoGqfbb858fBXAC
z-*xc7fr;ZMCMPG3PfnbiI6iUw*u=@n6UR@SIClK_#ED7#N5@X!zd?VE{%+zJ{&D>H
z@sksiCnhE*Ch*_lpU26cqSv7RI)36fdiC+iN%WKcfApuvj!mG09;1GT|MVCU{R{Qq
zmcKFS=uzr_L`SCo)gk=z@X@13jvhID=<uN<M~@yxKMx%~a`^C(BS#M(Jc4!TDEdA6
z`=jX358?khdI;(8kz<Dr9mGEm9y)a7;K4)34&8GI{ZsTR^tb4b4<9&q&w+amqrbUl
z|2=p8`42b!_WED#DN2nAQv|UbFRh%MTsV9$VX!hRCas{js(IzQO<M+rckbHF3Te-t
z^ZW&#Z?&bTv!k)HFgGPiCl~v9vK%j^2*;j&V!19VIk&uS`I-%VTL(w*lt@-{XlxX5
zys2wdi?JjtAwnY+`Fgs$xv&^7nJ~xhp1vZfCL$rDsH(AT_4*z>iF%0D92y+hzO`@T
zx>d{TD+<zM^(sk#j|Y$CcnL)sSm2IAN_|XfZfQ+p+p11H@pSWrt$w1}{%mp7w`t@0
zwJTd2s*1CdqjZX3p|^k?%e$m<a(3eiy#0gZT4a#(%c>h%$n@UzKYVp9pw_Kjy`rtD
zuBs$AEzY2ptesU`TV1q;3lu2s9vq58ffjd)6u06Y+}+*XDehJ%?(PsAin|4uBEj|K
zJLfN)T;(dy&d%C%t<3q3F`{0(9G;P(3j#->^Qy}Sj<%xqs5qu`7a8d5Y^~#s_=k6X
zv$?aRuDQLFo?DO|I|KZ|0K*-9{7MDc-2?3DfilF=B*e$g!k>p4Sy}a5P~oO*QdwR>
z&oVYHBOigR`a{BRq-whrx;hK8v-Q?neH6C>3^OFj@zSz?Wh84TsZCfZ;Nc$}nwb`V
z9+nKLC^jyLr^`DXcIr&&4<rkxySzhz{+kj<Q})=lwDLmu!<(A>D-+7C;Sg1;{s<1~
z)*k_M)E|ROaP3G>hh6V`DP(bpb2c%drIrL_#X2-R{9Q^SB;4|+QzXv^pxgvIv<4ty
zI6Jw5uLL`NLa8{ywTn>D=H4;rZ7A_7=B(6YGH9e}ZmzIfoi}u$wLz_wt&0iy_RENe
zmukd!#x$ms%F-X~s!nZk#MsQ}xKEEBnO~qKN(?JuG#^uuja-0Ag$5lN8ChQiUe5x1
z8uKl=H{gT60XZ8+H-8%V<YXcfT#|}onz%7SXvJnP@N;@PZ(;o!0)gD#Ufo@P$A$1L
z6E_@qluIb8fs(yFeXJ^S%gWNau3rq&!ox)ZC=RIdf`%T%Fa<jzV<-o3s678we%QV8
z&_xdiOUAGdr|)}2nv%Ie?>vn-mA|eN+)=jwMHDJKHavUu6+A`sW5Rr|s=D)d2A1=o
zW)vGPZ(Y5z?CWTq@lX^VlX|7*|NEPjB9t;g>b0}P)CFTg7dI!j7^n@^jbasFZPOCh
z`(JZE>MDK$>uOjRggc)E_3Rh1u0Bt@IoL55eOA`$?+JJN4WkP*s%%G(Y<)f&y6N}A
zHR)t?mus-X?WWIG=DjGTIZ?^qG}zy7SH?1$2&~WfH8D}U<qneYGfi*?tH<T$5EDM7
ze9b;W3}$#cmV7N?x^=%X;4G7OKjP*-;P(IQ+#~piuWTO@w>|7gjaZ=l;(SED7g1fR
z|E{h}(#HIx3C-5~#feBCCP%uWS3c(m)E9e|jmye<gs<M)%3_Q6X-#4IlEWV^Zh-2l
zdbGuUVU_9r#kVkU2xN~p{>$8mOLBrFi`9E|;^Uvs{xkL>l)DHdiaT6j<NOQLrjfQC
zjEqwz+$WT)+QEPT3gvtr3Qa2HPoFRmqeJ>djPm_O0;FlKF+}_W-#C<L@Zpgqc17NM
zdp{J6Y?1e<A6*=>Y&+}yP9B1DEI&=R9{K2NuFGq8B(tIG>CufmopU-R{(d-h2yXl8
z<L-Wg@`l>Fr(|b00n@j1u)8<5)7t8=?y0N63d)I(A9LQnzQm-v2?w~iunNJUKgJ*}
z?h&}a9MSr?bF*S}q2`3~Bj(_z4Y)cF6*=o7z3=Icv<#t<_J<axMIRnt@*L$sMoKPQ
zby<nX2PD`I9j?ePXN0NdOnw8u9L6Z5i^rxr7HJ08Ppr$h*gf3j=(QbX&b-f*6dBC?
z0CP*0#cfUFk<O$N(VGq3hqTK)eK#jn-Z|m&6@%k#Z#WiWAsm^|WHsN%vG2T|m1XO`
z9y?|0es~&Z>$;mg_4nT&N>k{0I$$bO?DBaUQf2GDfd+IJ=GAoHT+7yUzg%0_bh@1E
zFX{X3?58Q_`Q6T=u;mK5p3I|6zn>TM$gR81?Zf5Bx9tSN`pj1EQ5%J6Om<=(Eb@e}
zvpXL3)=|?bZn|GD*WpNgj>{A9GroTFjwci5a(o}f36E0*bRUlFBqL&w32AksPWK1J
z^g9)rA3A0a{L5{<-xGYs*z(?e*pR}IU-v(IxO)ElkH_n!HxUTJ*!14L+)Es|mnReU
z5^yGZtZkc0l=>V`&hKWjd$cnOmim{o?tinKC{9O*E-y#M!^iG<b~Lyn?tU)p_VSi(
z3OK<jWI%s}{2h>*IYlSq;o|k&-MfMdkIUh4b8#}hrg?&h<KTeeNrgE)A28dakZ$ar
z<K+NZJYGj5g6^A+5EgFzX7|b-Yf~+&blpLa#=+h&s$38e=YhJ@uc{9F-R**4_f1a6
zv&#aY6#BaB(dFAfcsxMBYj1l898QN$y5hgRo%kx{N3geRHkq&T^zZ-y^c*(p*tfmj
z>DYI@-mP7<o^#zmU11|<*xWbd-??XV+zW-<&hOU#O(FQ3HIGGR_D<}yh4{1YOZ&b*
zGR3cV)=;Ys>oiY<di73Rd(PaGWkez!1^Tz3YJHtS6hV(O&tP5qz<+bNQ@w1`4#~Nm
z4$`0LjFDoES*Ao^;)OoFKeIL7UvD-v$UBeA)=rIsd5(zJr@T+i9x2KL)5fdey8a&S
zO!Yon2nkUR@g9&^vz_3Z=YG2|4gTHMq)V2EWAtwRCHn1oYELnSZ<B)#Jq>7-%Cece
zPV!c7cZ6kta&W~i2#Jd-u@msBhw%D`kv`d>lljwQdbHvW@Yp%*LRww+0yak`6Ynpx
zxIg<h2~m%Pa!ed<wmVn<T9>Kj-+Cm-2m52k2{K-e=*?ZhkGpC6vXGzhK1i}`dl<O5
zRgWm|d0$csH$C0tKbbhuOgd+9rpXG1PLd;b^L_+k==W>%2IsKsc;sgV2?adzx=~Wk
zZn$0ypl@6poS*L>@9$4Cy^!4macL+bo19@5MMt<bvON4-=y0R)G-fg+WA^F}ATnUd
zEt+gYa5++>S{JMpbqI8lBi$0myo|YBVn5hr&{Rsu$-XpaxxBfGF~IbmI1-MJqjN}e
z90|93;~|_E=<<an3nR12J`J`*2D#>9^oG=Nw;;J~PlG#OeCu8Wql^IVkeTxB-q>LF
zyF1MU?}rPidpvIzXQRqqPo?3s=&F)5jCbuBBjHF%x(U!d7XJ6bL$0>0PA`(`9iqgv
zv|dtS34$=7F-F_b*^4g@{uG(&(_!CdVL1+vKwWzGBiW{3puTrL$djUX8k8K5&M6Ff
zSQhdl`x5SGr2?&!pAx?d{WKS;(cC$XR~X6}rzL!Tr13%M`gD5pYVeH4Iwb&^xOT3|
zKA4zW+Ip6pVHb{rTtV&}4*Qo2Mf&nmmPng*`<%LK2znou8GXD)0N&4$u(S9_oVD|u
zr!T*D260F`RP5m6FZM|=nHk^cE-CV8pP!z$F%0d*joZKa?=vh1y2DG04^ky+0<e|f
z8bD0G5^u}D3zlaF#@W75OxD%amvleawr3^t`*BU%C1u!GDeb*m&%g-Fqkp=gw&~-M
z#NdvpQ%sW2KD)<zq9V5`K;_^QG>H?$lIr6{xhK**I!=W(@9tQsR&tl3|5ec#FA`se
zHOIMy7%<6RuNcAVpYQnEu2!8SD<&pZe7)^O2(pF~hxP3ec<>SO%0>K$XzGvDg+Ow1
zUPZ)O?L&rhKi%qbqI0^>hK%)2=F&Rd5EKOKBY4<^II-~^K`P*1>AeJ3&I?`S8;sCR
z7R!eb1%;!VFH#(yn?X+?vm9oJoomaEAc*mUH7;Qx>d(G@n_?Y_bTXkOTe3L4wto*K
zjGcsT%Tm<0e5tyhlNsi()d`;jDX%FC;?u%Ez!Sb1m)ith?6hzbXM6nP;o?s-nPBfu
z?n7Q-$q)8Tq)Uye6AW;aTjQ^L(psDHols=H3Doxg6I!#G<4_D$Ts7k~YH#V&y7fV0
z+KBweyRcw09R{K<0uVg}C9%K%i;RW<07W&QTrGxtYX|hJ;}@+LWJ+XkD)eE-J8YBw
z&;<Hz=0am^AIKPG@n^|^zF+r(FLJUN`o9>k!J-*d%N4aFx%^hV{u!0<fgB@f(I;K$
zU|EL{cg6~wAzY4x|5#9K*2i;DXwJ4v-)NI~#y&gusNiz~b1b$+*2c;~dCI#zKK&Iz
z_DV1V(h<9X?2hq0jRw)p=-nndI{MRG#R9RO#}VIh#!b1aQ{Bwc_&7=yu&LUofLF55
zg2VN~EGUNOfbxPzlc=Ht&n16a#>I*u_`i#|n}Vtoy61)=LTil3!&}5HZ87naQ~+<3
zV7!8z1(bK9^qYOjZhm&A>g96r+!Cs<e7s2bc@%mKiHIm&@XlUtd%UOn<TPoh{pe3>
zcG_ZU9>3K|D&oIZ2Csl8jl4`hag0Di#UDC;8^m}&jDCiR=NkP*Q3S$xTa{VZ*=Y%k
zgE;<ZRUq5Dn9SQE1M`F}XKg3AWaX{88*&d@+kt@%+1Y>RM(9KeXQkBH#Jc+{t-Ce^
zA9Qt<f{o7tFiV8Ez7>%lq$tP>;#VgjJbATF?`ZNU-!XjoUb2e8e^kT4k!(zL(?0V>
zTuzOSd5VOCa2`8x1_T0OwBbEPXdfBJ>9sQ?1Yc~pZ1qPH%GJq{5FtV0g=^wO4EjHi
z!^CkO6ojyYX1DW}eHQafWX0)&JHG%RBQ49Astq%b;Ny0^y||_R))3&0V3h3iA5XN0
z)f$<UktC0{X`>%dLw)C;C7oz|2hjF&LlThs#>nVtq;(mswr1Wztynz_fI@EIkJTRj
zH`V~IrdKHElPe_qScj)A0fgaIJG6<;H*z>^aYKvx-4P)I$jSxc7=SeA-R2r*EKkq*
zib5%Xx=+5*U}A#5HNEY05f?-5hdc9vJ3K|TpU%9|=+!7;M(WaofvZL;j7$CKkH)sj
zTtki?YCbQY(+$`GIHZgi$d`~?oT!o`GA<T$kSZIEW9NuUHj&Ah<j&~==riCWDLDFR
zS(?SK5{743A-b$an(;V5h{ODE^3!9Ns7@%aq`E8_an4NbZ$J21(ZukyfN27XIPp&)
zTJUz-Nux^Q1z?&!iB8Ne^m`So*G5aqFD1Y!+TX}X5~I8&X<eIiDxTi0Y2goTAY~+$
z=)tRbl2JhY)TwbFdwn_#rIol3_C(@SCnY7aM7dus#OZ8skQjML&n+90fsXVvBjA}0
zFHK1u_jis!FxEJUm>>&WF6`m$>FMFIy&xc=X`?MV6y+XR<HIff=M$Caz$5SHe}%d@
zh&mI`e!n|;P#&Qv3*h2CeL_$N&TjutN-BT<_W(m^BWU+}XxHOp;Ul`1ni=B)66nF3
zBryTiyV7?t0T(BV*DWs($hep=f_ye+xxuLVan5mH%n^W}wcdCHP}HNjyt=!&83u$8
z7awRW0>ZkTQoR&FLCqBXn5pe=Ix{c^7r$A@pqAwr;zne<9w-wv%c+F%Jm}v6h`Tk$
zDr<#~0=Fvl9W4O?az86(0M=AVDj0$2ms+Y$HovJX{Ngg`6`9jk$@YzWv+0tt{nxJ$
zh@`|H0t1DD?}naH34OPw?(eVeu4pm#_tv9`FMXd%h<Wja$POV**}nx)pEOf@hdMiA
z7ebG(5}%Yv4|q&DW59wxkaid&rH|MKkE53N_M?+(@^4aR;n=3;DCPjvbb<_|W@thZ
zfbfDc;s9X%AU0-Ugil|$>Lv^2T^{(snDXUe2yhBk;ls}Zm$v{NONtFdFp<CFG|0y0
zkbf|ESdz}kPEUe3#^i<g(fgtGkh}HDS}|U$7^4|!+gkAK5?aKAl5tSY;=n5S3;651
zhr!Go;nmF|0Ply0;>_QBH`MuQ{)^eze?Xfn0swwxq0AcT&w5B5Oot29Mp2l6<31S)
z+igN$gi%uU3w6f;^pB4yuP>p-k$eKIMI)N-un+CiV~vb1vQx<ebl=2Asy?Y($rvpt
z+SgRGOv=Q}S}#~tkvXoTjFVr;D13FS)OOLS1r6w;j5<_G00yq{@>)cAOI0b6X}{q3
z>*pLNj42g!Yiw@$#Vx(9O*J(B&=G(O?f;PYod`b`U;^HsSwj2sb$KbXOFd%B9YK1&
zqN;X)wDOOrokWO2m6~Ng6^?3vEQfbm3ix96qn~~&{;Vk<RQ_D^)`>UB-t{Y77oWdK
zpi+1wwXZ)^bB;P5wck-?$^TqXR_Dg8vxlBS3HQI|sc9O~(mUKkdxxub+k;OA_gGc0
zrQ^m%eo;=>vSvmacGVI+9<r;2iLn#;7lXQDfMOTm-}&iinX%xX^D7Wq`Ioq>1~e(p
zB-wMJ9gK!OY-3-*xn?@A!sZ7SZs$t7OAPGD!9J&0N};0GQkbJDg{}+*^G!4F?}@~e
zE~j{_G43K#-sbYQmTtx$S=UmSToaL$;y}NC0r#lp_>r?&c*FLYdheD)EB8a`sdAg&
zL!^$Sr~e|X^pm*{=!!|5MrZdLIx5x5;e~P9OIl!Eul%%X3YqGhtOtc_<0_S}84<X)
zPHCo)kyIzj(yD}VQBiu%Ve|=0=1N4TB@B8MCuHqB5FR!4^2FC8@r*T?v&8=`GLlJR
zb8QqY<v||?z@^m!s<VP=`b7IwOfA$@6trx)8*`&fHWPsCC?J~CgTQ1ZtL>#-m0k4^
z#u7?O?0)ty7hK(g07bzv$o&96vMvjcLhz$XEl+&hH6~S57O6w`R+G$VCYejx9YzGW
z1{rhY6S>}ZD4{4%?czQM{>x{@exeHsD#uE)2Ij$%p1vvoiJX`kuM_g~G52-?UZZI5
z;u9r1;T&Om7eblal<x?Cxjz?U4cDQhMrxRdiKp@2O7V7Ko_fSN`pJ;zH4b5wSw>f*
zCCSpLw0#!fV(A%sVA}rE%{*7Q?7lcb(v?n7Ij`2|6bU-DisIb8VYE!p1Td>o#|1t{
zmE6UbmFmYM=QpFYW%7nq2Y=vc)*N5kPk{LHYf&OO_!OHT@L*}${qyL`VNR7TadOpk
zaZ>O+m$Z01O3)TJ-g53<iP53_`}?jR-PKgy)X%C>0gDP56*Z}104M)+mOm{UT<$20
zb;Z2SBXGJaKmnT2&h3LyCR;>j@QdMFg;tHCX$s3;_Cw2Hgy2-C4Be7wxe;bAE>Y6x
zSH2v%y+g-;Nn|;$IOB~^KV}kzwC$P4f5gm42gAa_4ut^o4eA;nfrSKUyC0GowiCph
zct8m}@vCX!OkAYc`$n%4WyOm(_+j7&n$r$9UYUDqHRLwk@^6DBcxps}@~Wkq(sRmr
z{cV5_mFV+KfTnQeGqF`vf=&S{7E&mTG146q{vw$_WX0UT=k4*(z~}0i&cN?!h<od0
zEm!R?7o{7ICv*;9Q}haS9x4UQP+c&8ynUY^KT6V(sy<HC`}n_LD%B-X=Z7ba5<p<(
z{83S|^SJeMK@->M!byS_hy8@HeuVZ4BLB?KVa7f6?H~_-;R5MGu{%P|7RxL_A@9SV
z8V0YBJU!P1sIQsd!oJ4a%i;TdR@OzX&(rO+Eu(>l8Y%YCY2V?l?c-u)@Q1THoTlS-
zIwi*GCyO`gZlu*|h)xET^wIuy?3`I#azLmNN<kM#tV+Qkilr89le|BC_lfpx<<N~n
zsUT~nF!Yc$I;_2`F8%$jyZbFLy7x++K+oxFQ_$P(f*3?hvK8uo)_pW4y#8Ex8#kJP
z?}({D)se;HrkR6j8t152V}j~1NSz--9(R*|G8wu}sLA<wEFLd(Jrj%}czGFo1QN#(
zc$g8#5WKz=#}InB6pt5pdm$nBF^wjH5|;l+3eaOC6xn`ry`euaW_zOauMwF!$gv#2
zGc^8S3yy<0P@k)ReAs<0i~xJkgPI@l%<Wg5|K{p}p=@PXq@<*j`#%8rR+F`j&otXz
zkKH-xi{2N7(WKaKi+fBT{6dfamVSA$eS`CJeXS9JCtRa-N-SEskps|)oL`|3=-C*_
zGB;W;RSQ0|c0831Ol!XSyi|%5DKq?Bg?cKjJAu^=i&|<bzE)tipO`##l~w;(K%m|w
zXw;#+yT7`=L#Yi1b0sLc+_e+|i^PNZo9#E+;jK>>ZP(mUQPE@10OHIBHywvn&S}EZ
z$rQn7l$V#+&R;>xRTS2qwgIZpa1|zz<0nKH8lw{>P=65EH~&u_pX(LvGwW(JI~lMs
z`Gto5Vl&pFdw04<lc@Ek!o@081_wVi1Q2az5oVrH?V05!eq<w&|Gnsq_lQ34-moRe
zrtRkXrr#SL3&eF0Z*&VXuO=Z}uPf<spBw&%rny1l4V_0nK_xRnU%v8jbvxh3)&y<l
zDBFJ#a>r1#7p}v*waeow9Sofug)S>Cf{XEI>g@pcmz!%HO8m1eSB_4^{sL<+E{9I<
z>FT;1YVlw=IR0kU)xd9GzVPsbkR<{m_OH6QMO!Xa+kfDcDwjt9l{IZc*1uNriy!+Y
z{fdKcY9U}dkPt-R8!MU|-i>K>u%Q+Z6!5i(Gm6JuTZByMH+afk4BwtER%*AwTJKjZ
zST9zeuFiCo+e4ZIjZ7-<$=(Q#UK!3cMuKM=22r?S!~y02#I6(aTZpsV#kguQ9JVmI
zzU$+@MiBOQ?p<H6IK4R_4;KxM9(?;#`5eD{9ID+`b4gE4i+l2quC6ZMkwTl5c3%+1
z6UEHjRlql_aaDFN7LE}pSaqg(7GPVR<;Ac12X)w%nOT*`1ZHepShKu5B&Y9NjLyzs
z=o*>|01g6bUeL&X^>n{)Utn6*hB^zKoRSa|6K7@Vq_xy&HkoZa#dc-2pv9d5+R&H9
z$WJG~<MKW}dOUv`;_%3s0ii)0Z1l&IV_@U%w<Xf_z5W`A9A?pgti3vUpXFG;f~GN0
zZB8%FkN;^ewJoaToG!XnZOv@Vt@W5b_g+q2{Uxb9I=#01Vexyk?n`smC!ZCog|-ZC
zt0H37f^gcwo`2$Y5-K0Bm3#!@VKK<DZ^T}KYbP61y4_x`-m>Dhu22-u@`t76e-MVN
zysa-#RtE&tuw^}AjSi&s!0^Epx~fzVq3&uT8X#I`rU41~#!%n{R^FTka($ogUWnCR
zI)-+hZ@z$vPesLM7obbn%gz}}#!r1?;$QvM(mZ1&q21kC)diQ4GFAPbG|nCM0?>wl
ze!Y@f09_9b%xLAFDA~E5oM|)R{X$c8nby&qSJmdwIn(t0rT)jbY5m#e&cB+<D(Pv-
zIjI?`sX576X$G3Q+WMxI_WIpUlTW!&m^j?;`tuQPtzV520^-y2qw=$Bpl6GsW!!Yj
zbcz*)d|{{AhnzByvPGje#z<cFJP+S&!}i0wh=%a(%`lp^M)Nl)32I%ztfr?2{JOZn
z&DGLeqdNyBe_TN$+xCHPFtdtc1Bt+b#gjy!vJn8*uFgvUfp_F>?#_E>NTB{h$z+&d
zhQDnkqjV85@1^HI*i4||Yn`oU%Y{2Pms;9^IW%;eb{GVrqxno*Qe0|kvcE@=rcO+v
z&9_*&)o5zC%~5N8)hfz@hAcvdCC7vCjOY9>?X%#b<4~!X8}+tB3)(q=XodF^2icYy
zkC%MB1M_zP-RHj27dgQux1Zk5dQh#qvXP%3nTk+J5HuV*Y4&>TWHs#9-Orp2-!+7m
zfqUA`YVH{#luq2)JM6Qc1{xM-^PL$Sxr{#vps^{p3%?F&Bz6bG5#vEcyb7xb{4i^a
zqEj&oYS1|4;z7`N3BvvXw6KVg-$%=>A;t4CXD_?gnPH1~IV8_5_8ka(mb>FBsZ`%_
zDR8mk0v$I609kkYKlY9<CjA=~S&0GbbwG!0jv3Ncg$lzb2rq)k7@6!BP;byE9p8WI
zO9D!0;CyC3{Wm<Kltxq&m1|_#F(}2frd}hC0ity1fm)hSiCw8gOksutqP36cQ$?L8
zNu2L9_;k@K$rtBXB$IXez}F9rf(UksO@C{awe&O7atU#;N+qUnoyxuvSFy_3N5n+_
zr{ZI(_`=m(rN7nTIu5g}B`1H&u%O~-m`^{5?ERtz$$n+ZPM<WYrN0QATx+)3>@;2D
zQlcJM!U5=ZMe^V)0qEd({VLlE{?C6DO0JGo9;K%f+NeN7ZJnXO*a`Iabi23jMrc30
zsLGD`0^N0ImEwlTwlf#8x)iurAj3BUDi%qGyvtkj>FdY>Zjn8NenTq-g+Vcc=?+yg
zpOGYykrJg%kxR63D&iv|6-OtSsw=JaR+=owx0&)A(lgsdtCGVbBz7@FS&6$@1<64?
zo&e0sdBIPu#RhgKrz@>>Wi^Og*(O=R)PiB)h`~LBAO*vd8rOvqPohyrWdz^f>QcqD
zJz-&Cp(Ip=#{cOkQO2wieyq&&z&De_!ISP|d9ie9@&0La+ut%`^JdcHu9_y9v!?uB
zVuxV+{^r)JnVThtFZxk{8$C_GSP|i_rk3Tx%}mNqK}N1sk`)Vam)#r&CXh;5$st0m
zdOn1>5UkpOJQg#_v}k+sI^-`>#_rlfsTS!T{sXtbuxA&VLH3GV3M#Eca-iE<u6GpI
zpo_ZVM)!y1GpY)Tx&Z(aa+rC#VO(xi{i|5VrG^Is)<3k#$;d)2{PvwfRZ9Mb5*0!%
z9-O0@PSa{OXI@eAjb1O1gJGb2LY#y==}d!A$FMF$(pk=JNBSG%GRHGyJeF1qX|Srd
z>BuaOz{y}PqiTf+2}|44As@Oaq@}gA#K+gvkn@G{Xi{l}6B{RST+3Kx@?(w!)FV{h
zJBuyUW8TOs_4B@gvH@94T&6wnfU~Ko>TiFb<4q_9wBeh;{l1EO%v-#WMGNYI(R-Z-
z?n`L>ILi2)f)Fhc*!bP!B%3e;H&U)(_JkU&T93?hf;sX!LkD&X7A;Fk-j#=LI|$eQ
zXbXq2j?71Xn#OHhfRx0%C&5wmkiW{|3xJD^zANMzp$g6{PF3Ko%#ZxMG{mh9QbiUV
z4-YTT=LgCZtWl%HtMWG51$pRAZ$)UXez-u$QKyt}H^3uC+xPhQW_RH0$zVU}Uui$Q
zRB30hIa}WeygeBg>E3()v5y{e!_3=_1-;|(DSIVDM2$|k<j;=^$$5FuaUnhZ_pqh?
zBo36Z)78c5(B^|p>j;_+YPI%=!L!-bpCX{$QHv@un-j?J{3m#ZZ?yS)w>`~scJRlZ
zM<-*r@1jePsYplwpo~@u8eOrKH4Qf0@%$ZO4i!ws8w6+;&PxuK98g4e*8h2To$-{j
zMMG2FnKY{SGRQt5oXcrogtaev*CAME_ESgIS5Hse`MCluA3j?Hd#_Y_+Ao2H7vYzz
zkbX)I08gg0!^7(np{F5b^6vR5c|f5Vlp<hgsI4ymE(jT>75<?ryriR4wQwkE$>cLc
zTwxoZ^xe!pswB~xScCC;M2XSC3h@1g5*PUV#@5U-b*lIyrk5J+a)OP3M&o4>Fvuac
z0%H53S^aIW^xzk<jz&%3WM#%v&x}JXtm2!vBS!*I_X6LoySwhDTfnFm7JFY_Z*6hW
zq_VoQvf9?lKKL;N3dkN8%<Xdk;GUa>Q}PlGmB4@bVci8bgCnFuaubdokIqRbeo=KK
zr2Gsai`@_zc*^>1VXSO&l*-_lDtR<Np*${RkN;Y0$PM|mYPDKL;e9v>SUb}Auq5iG
zf{l9P9)6M<iD*ofxzXy;U1Kkj098iML3f2U_1ONX?{_3rE;6_Um~nlsVu$<7k!{H;
zmT<k8zO9y?$#sQ|t*wpy%j<l|+CzN#R8^aRhEnrU_Q4z}FA8p!Uzw2LvQrhOA_<$Q
z-hnlP5TS*1lRfgr<}F12vvc;pMpm8g2BH8IFtMiipYq_=gIFZO-{F+{6XPGyTA=A&
zV0EQvD6zB(T)Vb2_eus2{46%gi{_L-lW2(kLlO?Uzr;cqZSqhQH3fp&=kjq1t}l>F
z5T@93YIra}Ce>7%X^4Hh4zjYgp2~i9c2EOq+i{s0z#v<+iOKmWrL`9-C^Mqi#IR`(
zZl#>Pz>GYHoo=d8-cg($%sz<i>S3d;FCmWe#YZ3!vq)o{2HFWFHTiRDIQmk4U*9BC
zI!%(}IuPwytI);PLL$on9$09!EY6x-1;&fMUAb?df{xbAue7!=D2d$uvEYuoCPr!v
z4gcD&opiI``+m}7!UPMIT;>7koKw<1MqGDq&8Zn^rDSE~=4R;VF3fz&DtqEA?>B<n
zK$$Le#}_3xnMQ@rg~Kn|)W)h`M*bJufu_E|v=(1E$k^~GknSL86$hW0*3M;|)E_}4
z-41ptvktswtS>75uzqdBWBmnKTi!xTuUY;|0zw_F23WCL5>^}8T7;$A`|9Fb&RD8h
z>3J}x0QsOc6F}7zM6G2XQ&UxWM>{VW6%`pteM@<;`pjO9hA|#xoc3J99^oAehqJ)=
zgGiJKEJyAhesYqAatl@pL7o>gl;%l<PwrM5tULOsKKe3i+)`dnu8w;2*UfBQGcgNL
zlKR&!^cJwzita=fCr<(HE5>f3B!lma<rk5_f47Q@`84<Y8y{Rcn0HseOkY1j#hrXx
z+TW^@ZF*WdE<RRPdW!kCg+-vPp(fk6Tk<*r6O=gBfV+nsUY^f+ABO`qC7LKH8(K?A
zn}uGMT>9&v4UHkrktnMZBSE!NvS^NbPtMzc3Ye84ZjHrXCI$HmCexDuxK|*_Y5X*Z
z-Su6UekmnJj-f^e&7+puHY#TJ^y}(O#IoA+E3lpo!#||nN@R3bLx;pFsy+!^NJUiy
zR;iDUb*=rE;Ld~>7j*;0x8wl>rELm=9CV<0I?-Fv#AG75+xTGgXAeoAkGq<<^yrD<
zyD<_hGj$L3YJUo&wQ@2tB*r%K)5v~9PatJZzf-cz4hUO?r-%6px*<+-_c8fqwBg|4
z*vaXDDU&aZe7a?Gp%Q~7W~<|ML)v6C?Vc{4;-322J|-UNo0zEyaYEN<<YEfjb3Se5
zUh4`8@&KtIUOyMIxMPaI8;xkWF@`@Orkr^rG7&RlLEi%lDHz<C$E-R&<OtVF9%piA
z+f#_Mm}(1JOpM%jIJ9Uc>+G0})>WNS^meXg16195<D20mH9x=Z9xX?F$x$Fb#)S5h
z*@!r1E-So%j%HMT01KC$|6;;iV{6&jgcB2X2@wfRI6<Qf{vW#TJMWfL8Yx9g@YDKU
z{*^T#fdczKVCDLxD4T>dmkI-hZ#<oi+z$4k$?qdo^d;-aeD7x_uHF58Z&z~s0dS$n
z%dgL-F1p1+U)9Ko@-lg0yoNj>c%{Cc91O*%&t12%sgIV9JKCvY1&fJjg12b_c3UXy
z$a7sS$v|^XP%qacWEE_B;KB4CTlW#)K{zXmFp>uy6B#biT>6(-fMDy^==|(HR;y4D
zYRfTv*QKGYys}p%nf=ca0vddVsVu<@w`x+QT~rey8~=d|V{lRbRm{Cd$9WwNXO>Pu
zC~i5xrt-hoJ>;Kb(sOD_rdmi$f3)Z*r^TL^ZYBW1uThAH`|0bSazAkU$H+~wgj7uk
zW@X`q@_r^=oL{c{a`yoQS5;!YDSfK8t|Eo<B$L|~(Tc~{pkpKmN@ETX<hrFK7<E9X
ze<;i6Y@-#TT*WNKh>uc)bMg`Lmiy*9z^!8T(S`iMuCt)@iy%6kykq?j=-A<>iiSV`
z5$-=nwPN$kgD9S`Z{k^;7hLDHCTmbR_Kq7Sw&DTJ&MXmB)MW6%E<R5gngH?1O>$`_
zgBv|ucGbozS#)vx{HI5AY@acx=@r^^6wU>aahg&EssIdedy$ne=xB$(A1UX<A3XTn
zrAJ-|;bD&~Mji4IGbZqU`cKUPH-w!^CK&wZL`pPt&Va{CemV&l{)p!i{q3y$1k4HH
z4#3Wz-ZS!+JJ$!rNm%*e&DVJ_sxx8q2k*7c-|@LJed;fAEw0KcpM2*a;c2dWYjwAa
zOZ%(C?!X^*_Cl$Ie5vUKwJ!8%rDUW;J0hR%W8X|8pirg};Sx635=lxUF4sJ|P(+yf
zyq~hv65Px!uNM~`3Q+2@Jm4Y96!t^yXBR|}!NSkVT|zqXymQfqPQ_X<v`}a`?G0n$
zy37A2oV)%LaIa4<3%crwcVv?5>aB{0*i4X5kJow1iJ1L!n<)p#{)mhHN(jxQKf7UK
zUc9ETbr-&{&u456hI{e(ZCCQ3rH%M!(Njo;UFX!Gg9qUW&mZ0)CO(?e&}nabzxn~y
zY1tf-bY=9~)z#?(>kyKxr91agR#3G;-d7ObCy+pYBKji>oia6~R>$ZBv&F)*B^Kg*
zHoP2o#*(j^Avd5iiHgN;7&i@!msieJL1S=yly&yiQov?yx*i}W)&JIO3V-`ryKR>0
zsZ=9K!ImKS8Ib%m`a31tOiAU1Aq=RfXz%|5FQTtL*;K2_2PjRAe(e(Ym@8z`iZ+s%
zQ3<k>NH+ztoSxU&I@=vgkY}9-)DS*vXz7TSIdKTm3i0)0A{{;iudeWx7Iuo1S7JMn
zv)O*ZPkcRq5z2+dV7uYFX0EaiI|sGN|4TTTgx^d5$hbPPcjl!8f8Y#{3VJY0piQ}6
zB})fh+2NCI?1A@xoSdoE_KBqtF+s|i*e6*Vwp-0bU%{T&cxL?h(K4d}leWAWfxK}d
zcRYfpG)H(BOT|<Db(Y`MDMMS$YijIhk`e1j3s%|TRaf4<G#lpPo%WJM@*pu9`bu#H
ze((*OIX@A1A2NKRfF?g3n+UYT*trB@_~``JQof!*2*zEE@}s8j`C~n>*|d;N%zkLw
z$D98{gjwvEJS1l;!cL>IL7X+RKEpXKM~VQCqz~ROYnqNB4zHZCFU&({B6SI@M=jqL
z6W1aL(l<N>IH1nKkJpSR9Y)~0I~j)<JNsgD6c8_F+~jLBhqXv3Yoo!=p@er^0go>*
zB-KDcuV`^JD8#S(ZKPq*Ol(o5>~pP7Ab}|J@HCrxHg}D`&0|}!J}h4{_}CJOJrNgF
z>oXMI0DYiR!gYy}OmcU75J;>YB9XOZcO7|nrm+f#8TM8`Yr;ILBEWm4T%YUyw}rQ|
z+U}-v9}>!`8thNV%&3o=LoDMS|M^sKQS-K}w-Rwd4k9&kIB1lP;=@_WJ4D&qlAM_K
zjD<UMzq|L;cDyYI`h}MJp)}{Za}PPDYydiDtUWWmVL%=gT?GPZjLKJgj?!Bn_Y#kQ
zb12p)_x*N8h;cUpXE8T6SMgPQJVmgBS94!ME)629brzoZE(-6Je=ABv0|Q%oG7uUK
z?uu@kOy?mp#=cu#akkNrsXMw!P@QFu7PbTVGr1~59I($1`knWf(tSPY$C$!!2Ml!L
zvr?0~!eHySvZbc!N2@F};jQ=m!uw&Yy?y}(h>82o*#!+aNQbW=^iwE908V{%LPzF+
z(O%_s0!C>7%}*;FQ9*R_eDgKUc06=VL@gwlRG$_jeQ%ph?hNEV1TU^uUQ`3@m8&*f
z-V^hyk^3sr-sS!_HpT5x%BeN2y`eV|sEQ+u)wTiOj=hETjNUVIX+gcO6p8`7cQ+Vf
zb=F=)N8XRRqR2bT13BX*)|^RBW3h0x==JWQ$3H!s^Tdh*ZwK0mJMh>!vj$eqH7a2p
zU$&}oKY<2oq(@+EZ8M%q;6Yr68_+N8!Gcl$YE)mIdm~bI5Yfh$%*UH87AHR$UM;V9
zo|uqa%QV~2NA}J_Fj&`+#edG28qhw@c}M6tL5WW6#w-&vZgiUEKmBQr(UhZ&PtBQk
zZ_9r%cq2;s1;)eSe0zDg4cU3&uZ|CEI{1NOdH5=?RBQ68?GbrSJ68^tfk?pFQSem_
zLPz>NJ7b=6G;^_~&+S9LG~4%xrNT4mE-fe2vjNx}rtFOo)DEar!Wa`Yy~lZ%4wkI3
zqy`nPe){vo)1gjKs?PY6&v$+x!T()}I@h)+FEO|!7o73@Mw;$k1i7dqtu;FW9-F-r
z4qq|*g|->1!A0U3Xf5=99KT5dbm2<FbKlm+1#Y#dB<2dPi81pc*v<H_Tg8cz66Q8<
zr&kcqC&diWSCapAH40OzlKiuj7NFi&^SQw`J=S;Pyupvu<e>XK)$Kej_pS{}VT=go
z<M4LS&aLv;|8lj2ba%>(bpFmd-m43_vOoTY3s^74S6i@0IM2#`N?up{V@eK!S#)^8
zU9PF!BpXKpRlC#?MB&TC*wzZs_z$cNh}|X@B;?Mi=D96tKe$fe13K6wyJ1s=OP3(V
z|6p@QdKS$xuR$xdx1IM^W=<1oHc@!9c`)dg3+UL)$=@u`$db_wQgp;@lzf?N`Z=0P
z%{BgT%f<!z0`mf#CI$f1@jV~a(ByUnCfG5`>@7gBo0)I2z>np3Q6JCEybB|(#1x-h
zOD#66;%rZ&zZtx;|Ky7#pcbQcHeC4=uTwvpe%pEWEW*aSBy3jLi7A0P==IXn)mA~l
zq8`tCx9!YZT!i~iFNjxRaP20bDA{dQugh}u%C(jo9^~1&jpnTTvHmyB6p+Ua7!~8h
z6a(y?2&ClV<NI8S`DM)5>I4B|lV!>2RC(YLxF|YtYxm?@i}0~V!@O)*r-juw&R>oz
zsMY%+(j>_>0q&)+q>hS>_Ol!jU>iJo=-5`wl8HDMT(-Qt4#$X<<;5%~%E!0TU25Jo
zjmuMWTrR-GGpyqmEjl;G!sAvj-27ucETmEejI3ESFyI(@b%pddA!((&<|+1Ih3gmR
zIP@CKvJr3McWyym+yBBq(N5`J-1MNs2fR{x#eyKz&z|l;Ydy=)PEdtIdlP>lA@_s$
z-LeL5;dgW=KM7S78{4O6{PLXV8|G(?4~M}45Ij_n`ZFG@+|W-=W;bTT0sT!z8R#n#
zo>ni{uDZ`|h!-z7`ha{|qvgj1O7iakr@(V!jQ#!MgeUM(NF(z|)b;%QGv^C3L_4?h
z6E?H|)!tUF*KXi5RL>&dcXreVhlsH*?sD{y7zxHnzJJ><kRta7EQ*_*;J4-cSH^UJ
z@%!oys1T-7$1`Im=Ih=#2?Jv<FFu>U+X8l>Xn-~K7G83YS{`2~esLHclDxcLR<i9T
z25bZ9LcMHiJN>whp$+$;I&L<c$SG0}`iZ`E0nT>06QNFLqC5%=jlX~uY?wb;5bfpt
zfiiAxPmI#-M}H=p_S=3;*pQ4Tc1PnLPJ%VkpFdk*7vMzQ@0rnN+#U8UmTZ;tg#*1<
z*oXyKr<92s8p>N}LACwnOlRzqbqjCo2kAi8?22Gl1z$$t9tzS%&I=;QNayhnS!nCz
z5lHe(K23VaE?yS&lVe%`xV+roeqy}%UY5ECR$EGVvL=7{au<|ej03&yIiMFV^J<+U
z^Z+>%#5zz%IOT}-+u_h9afK{vZ43w60ahA$yRCTHg`F|W+=6zLv=&-)QJeM%xgP8(
zukGaCBSbPP_kc56`RP@>!qk+j`E;*L^@ci8LKQiq?4<kUMqvYqPwqLs;4J2o3Y7p~
z7>1sH<TxY0A=#l{08XF~s>i`3v1a3CL(nW<g0Ip$@$V9;gUNM8a6o6)E3_~CyKPGU
zt&an(HtlhKUc3bUxHu1Umj`d`>gHAeT0aHeQI6L56nfIu7EUIUfQHi0lRX8weY@ai
zA{3(p4rVS=0f<?BCGL$hZx?{Ope23U2ob~y7SQw^(sj(mdG)zRN{PtlR4FaBW13Jj
zed-Xs&rrB$VrJypu|MVMN-a#+Z!rA^n&>RWg?gfPW`WPIP~*x)q$HcYV07kswv-)l
zuP^LM&DSDc%Z){&lbiYdZQQ%EB;JAVx4lNC(gXwtrGt`3t_A8h?%p-4K|s2>08i78
zHWxv`-(;u+b7TKogcqS*1q*ME?DYOG*I#>#Gl4KR^8Rj}L>z5s)6E6MtPfM`rPjXL
z<~jzIo=<-}95)1g;e3_?tui9tR`gPmacw^>Sp9ehYHr$Q3Ysx;NpKt!U#{_~V4R+5
z{dX{FW^+HW{KJc|&y*k-SGSkWD5!b@<czW+HiUV|3!}Kq(bm@y`=-l7C)B)2X0SKH
zN9k1oOXdPTJ#4^h4h}dP@~VKTQzwbyL8uO%s0GQTly#E4b)(O>eB<C>ys_DS!2NN<
zw@%h$G0M)%Rv#zknh;u|k_%JyvY{_K-FyYfZ2nX~f$x3R`-E&JgBd=4f3qW76GkgX
zPfE`;77_nx&g#-9VZIVtK)pIR7LtIBW62}ehJxaN>QmD@HGA#pE6Ag|6Y5llJeZJR
zJ4t=<$BJnaiAWb_caY1)o8MvM3YS8IQ+7fpR#;+}Z|8JQ9>|rzqaDH&K-y<<&cq-c
z%^6a$U^T(+Kx)!1Xy&yo`-^I9;K>`?^28P>g<moK@lIUTDA}egcd{W4Jnu7e_e(XD
zllOBQ-E4MgDa>7Q$k77&9L=Wl>_2?K8u1~_X~>ahDJ;jl$?BP?P~O0gr*8uN15cfQ
zzOvCu*8D7=hfc9^^96JJ*!9P8!kGKC$%-cLDvzP(4Vu#4CpN72WkzpZ4`iohf>K90
z`DI!nlvz=H%@O1o(xz`WHY7F9b{X)XURTVuYrL)7;+<b`#iDtZ6wC}>-w7^Mz2Iv7
z+kW^Dbifw&&&!0${E7cD`f>4Z7Vl^3rS(zmO>L&FHOF?vvOzsnTUp91UWL$`_>984
z;E<#{TBROX+`}BcG@zGy+&519g9Uf+aFnI|k@-3*|2g{?|4s%$UYYQ5Quu$m$?Mr^
zZ6Ax#1wMM4%f1>&SgMPKD3l~5w{>QygFIQMpo^e&?!?_arMo<3GD*Dt7dS-C@Q>Ol
zFTx{;jbM6v*;rDt4vSCDUcYP6C|hXFOg)Z(=i+YT$wTFdaXYhLK*N3O@+FpA$X+6;
zzqrPW>FSQEN`;l$dA5P<L)Qf0&{0>;+Otg-ci%{lsY!5_8i0ZX>W%+bE^x}DFp0Ro
zPzLgx`1MH`YhQEzL-f_bg5TVTKn+ne#T>8x439lDB7k+}n?P-e``pvNH#EU41j(A#
z#|PECJ~zMYKXfNd5Y?gqHK%g5>LBNrI9`JtF*FNg6=toJ@LS2Cpw%yy!J=kQ8bsJC
z0RUAJu|9wlbO6=u@EJ6r{_oRzd<jPLt(#EJ3TL>^PQVj#x}aNab@j06Z@v;Ws>JgC
z!U8~#^&OKmH3jZI!)<L&0ZK76Twr-Pju{_dACQqxfLsYCg#N4E^B_{~j4(&RCCM_R
zjy}X8%i#8Hp2Wxl-!Br&*6*Sbx6$x?uMp!FfLkoPtU^vU*g27r@SJr^w{H_^H~2%5
zY-y`G$9az<cOFFRtzSD!26q~w&-mZIAqUTK4F6No(E7>K<u|%H6SMgm&o5|wn5=70
zHZg>9Ne)W2YLRw4U#7g5)THdKQp#Ih1E*c>UQr~x=JPi*0>@n@Cmrc39VZ#A&mCbb
zYW}v}rE42eHT~s<(kIMQ`T}V>Mx&10m9OKxx1i|hEAF+Ek#7tRd6JQ^&Zy%ZUBEu}
zpN4ePp|_j*UtV?j8ocI48zl!V+%j2s!fuy!=-(egoq0dYQa-FpBd(O4w~ME2>dCg@
zVM9+k5C>FfBVgUU{iEN|XleWG*~ef>d>ZUXaoqN!Jvq(Sx(pyInLq^MSJ9R{<`n%{
z^TiuN1o{v?U0r!6M@J)z+*t5~nqlQ@b`#)G2#NP>!Y8x@7|1`exNb3xR_I!pn>k2A
zlTE9$6Y&Jp+|rafSxZFlkvEcwr2nFXOC<#`?>jK>R)$Wl(8y3fDIWy_nei2TU5XEP
zZMX(mJu*g8A1kx}`gd^9Ok2hC8+L6e>YQre2C4Iz@5QJ6?FgGBHEH4No!67;z*E!V
zMsyIEtI_oF7Fb!8uKqy=pvT=6Iv61vK$rl(IQ|Yoo!L`X*3YWS5Dq`C&5XLy&0%3U
z;9&!YEn*mW9S@PrhK~Pgb8^6_KBmbMZg0d_3hyaDtU4fUt~u8AmNRFz02MC0UH`jZ
zWVahS8_!#O#%rz$=20?0{koKz5K4+gM8~)!L90`Tjve)?9N5tjP`SU++)Kyb(@me0
zMJ-qnwGeySF4qQTYiziDCFx<<VFs(v=mgmOBgtF*v^M`x+4P94xp_Y1%riXs&Ed)n
zQ(unZcQt%-X`VRU2}|b8v`U=utJh}IGpMDJD{DCN=}8&NW#E~`J(^HO3!r@L)uH>W
zNF{Ha!^8dq<(2GxWpwoU_m<qI|NCCo{iZOl=Y_#P|I4@M3%KUwjCPqQx^&9m7(GOD
zId=Pu>4%$3XAWng@bDj>KYOl9mCb|77Wy(Bwc1$GZsVt$K;!AQb1JsDWTo66#>*xO
zm|}i<x^(E1ng5cYKILt;_0I+0tUqy?W&iHM_?E$sOnlg-C+ZA^fhd$W6=ufYI-hsD
z{)4UlGXmiazubz8jg61L*z9t@80xr(V>>Fbuu`fa;b<8t5rH|X_lU}~H}JpdJ{0<#
zJKaKU$0^#p-FgQ%!!Ky>nvEDmHgy}HmeCxOxOmeveqKdS(_owQdxfiWWih7mKHgS0
z%`K&y(AvJ7RSp!N{=vZBo}6;?@26X)%|af0FK@4H-df~k?M*2SU7st7bRg=<k*A3$
z<e_@Qn|0OwYGJ1F*oz@jzqJ@SVF1iFPJ3{B+vT~6nJ8d3WVCzv8U=DaoTbPT;<JjA
z(*9=g55SeJey|~O3u<`48<+ESbr>#ezr)|I;>lB3B#GwOy&Z$#7ik(8utS&Ty3bGs
ziMq>tTB06|v9MKs9Ufrr)=rF^jm=&-Q4WEm@_J-BR}WY;07Z`Yo2P3?;ey2nihvz=
zXF-#iB8j;&fq%HKFgelF=p15)y*Yb2RK_6an2~UyLj9lXyN);r0{P>C2pK*uxFEa)
zz06OoV%AHdBGf`=b)a#%ScrqpQPiraPE;SW%TE?NF~!yPN&V=0&DRY;iT7f4;RJie
zzq6fVdAD?N2%d{CJlEa`r82!?j-Wk&jFfD-+11(K{-RV~@NnsK;b!;Sq)rP)%o!kz
zxS&SnGLy_wJo?MQ^X|o-f4lf8)CNjNo8+46dpCQ0p)lXt9`iPMbEnZ<)VZ?PIh6v(
z%VuYJxHBvCzf!S!uIbYmNSxvRCWI8NesMsUbELl(*9A<HzQHzR)A)V{9gF%k01o4o
zeU89jwxp3ck%DFK4g`0bW2n_<xAn$qll8&h)ux;rJrXXvldX23135EESP&u7v3PWH
zAgrQ>3a&7;=f~%KaJJH5-tBpQLa0n-XZu#Ex!rfDLZRCE*Ew}oM#M9;d`{iTro&&3
zEi|2Pg!mn`6R+X4+e=^#!9Ds`NHO-$?dhzn7M+WM;?h{DjI+2$cW?3m;eo~r=@Jq{
zFx=~pTya=pX?9m1$l_+Kp0!4mg~8@3N00V@d{md)>u`6KPQEqsv?M)kV7LCBmq759
zexbNi#!x~EA~0Be$Dm`q^P@mDiETnvF1SwV?dlAW#ettV>WMe3Y<-8BSM&$E#!VLY
z&S<O6phF`;rC&2-TT3lQ^0M+j+>DFy4U&2{augl2VH-ikZ<=^PiuyFlgd$oc@4B0F
z4R)?l)~dd?@;`s>`&3j^m)lxc>D9IWF{gGA0MD<aa+oCeCU#uxgExb=8q{&xF@_rH
zdpi-Hhl8!YDKINMJ$M*#XL5|-1JZ)-4s~qfRj+OD;#oNGTZ1d>;JBE8Zoc&e&Dj~Y
z&bfky|JB7?2A7byd;2q+8n&_n;_cpuaj<vNC=bI*t*fO?{OuT~qlk!Mg4`^u_P93?
z64pe@a{Dc{WGM8}6T;Y&5A`dVU7l$#bbkHfQZ{PTq(XHK((lOI_PTkNx^cuxql*75
z%*9@MHC|q>gGMaix((rB6POJ2tJikW{kV!@RU)`JRD2L{S3CWy#_#|;Q+sZ$!Sk#S
zVVy<Y-igVK-*R_IbKpt^%CoJ!zn|;5d+02=wjfCSSpUckgGnRu;bVj#QUD=MFZ{o*
z?~WG?k=iND;}v@uK9*tp^~p81*eySBxa;@7CK59(Isj^xGn-9VFti*`+U0v1BfX}4
zF(~i@5m#iM!sD7IE;gK}`S0DQ1n;}O|7GM6om$s8XMR%=qJ!hEFuuYsjG=dU;p$`O
zXX2!0;?5hd)Lyy|5A$9l*+?~QR#A=oiy0Y1d!W+MP~TkMVDAxgjC75m=lPH*_$@W{
zSFCLNbQD?z$Zo59hbxuXs*ljGSdC9OAdj22*w~NSwR^jImnU?)6`H)V9Cib`e_W@C
z4jg(@beMRSmA_T+YN486iQ*r)3KWhPeyj0M&mz6Ju=!nkVk&0G6@8{Ul+<CyUd=NW
zfi#RK0iS(VSqWgBp0Jp^1$V)9+1~!#S5FrGqcTFBtWv_BZaZ}{eAhi0qnIGv4`0q<
zm?=#Fw7lkR)4E?-Yq4jUWV7i*k?tv6B*Cf}K(cJD!D{$5%&td1F<AN5cMkcxyG%C3
z$CkjNN10sVsk-pBw|4XUrzeZ*NXCpbG7lXaX~5Qkcc(Bz7epf9O2izPx{;502&S?h
zXislCJ&N*{WP&)0N%+{=DX`Mz4V>w0j*I)A-=?BB=+h=gh4%ML)8OL$*thB$QeK&9
zvkW{oowBE=tRER28=F$o@9};1M{I1y?))FF-T}OlrtKDvZQHhO+qP}nwlkR|lZmZ~
zZ5tC~$F}|FdC&RZ@A=Mk?Q8Gu>Z)B;-F4T!s=8_|)6c{}viupxH+c(ujOtvuaWnFv
zg(D3A)6ljb=`I48^a)x1nF#TFZyGO4oz`~TlS=4)ZtVl88dW*TXQ6u?K91*<g@QR=
zP5}-kzbnhXw;f48+ilp#KVaCJUM4bj$S$G?6GTq!+zd^MB-eTjjL#d-kH*5ldg&>M
z?H=Adi$sf9x~Oq_KC$QqfEc~qg7YabWam~&;349U%kaBHd_Lc-UNpN@A`j)tOerWT
z{2rHlT`F{D;Z>5r4~rTm{7QjdhgHvamIKH5g=>bmaWmGRZnN&kg7<|z4c+xtJw)%i
z2f8`MZcY*3n3OGE5YuG4<mGJVn}AF@Sf8er$p~m-U9)(1%C7|XO^=3Y1u(I)k|<eN
zXdq-$Ql;2V9W>eJ#<_0wP$J#j-L-n_!CzX>q_v*U-WO6j@!l|2>itFcz@<=^D?KnP
zqL@GVE5K#pp@8+_oW^C*IL+IGl2E=&+xBi!-PG>=Lpf^%>3%Mx)XYH0K3g$jPw*vR
zXhagxVUve<DUpf8HU_qQ&HXvp1A7GSDUq>FmQBSNI5E?3)D)xR*Xc!>r%odaaTUUX
zcKKK`b$a@*DQct%_hNMTiv~Ht@Qn(T7%=b`@D~<1cS2_M41VCp^?BIfu`~ImCUpeP
zU0<%$+@by?n`*%XTI|hC6#fMKxc3_v=OGs(VVkW+mKruBp`KH{8vBObDcQM^5l;=l
ztAvxMQo)YaR&$@mo`&cUW=6=+JuR2|zkdWj!AUJLZRLNO^vVVc8MXJ94IQoPRM`8p
zQ3-OUrhl_+5Ml=J?xCWjYHQndstxQoT$orG3MHb+426e?<OA)E66#ju2D-mJ`hKLh
z!ag;{wBxLkRXu%m1P@FNrxPHQUUdmhb`wf=80J40aSb<!+ykZmW#^w%LkGT(FL`xo
zZ<Ze=%@*LAp0?~Zyb1bLjM_s?476T;9C{hs=}s87`LPvyb81V&Rl<N%v}jhx5=*<~
zmfiG+Bq%njWwfl%H`QK^-<o6c=mvLbM55#YcP~{d3$I(vwA{+>6J>$ZUmWsGDp{(3
zq~pM`S)&zc1oQzP(>RM$McuS-0Ov^Uy))-NZ4d~LHclbp&0(@96bTO(KkjjpL5*P<
z|8AuI$;JncF5;4|?%7Kg)nCr@U=v0VPm$@3q03OQ)C4HuE_N}Zqb2aY16I(>>?i?W
z*K!2%y9cDfM~h=M!W*k+L`>igcM&~NmcV0N&T?~!{?_5fWOW4y4#a7^`$d&<U%xww
zk+?6UUaK|sf3G5yV}+;tWTH!!jU`iw#+AMFTh+K(j@qN(%&2>@E^feWN$k;6g1X8(
zjWrG73{742JaJ_J9cb@t^sQrF^Ym>{A^dr93;*Yty6AvPRQ-8j0!c$_G<U$bALg|V
zdP}`B&&+GPM1hw0^GAB}0BYrZ_GN<L=S6Mcd$>QZ=fw&KC-<MW%Ho>-2w64*1qm4u
zJa|*Kr)M*m5xKi!<Pno(t=TEMD4!ziP3DgmCwyt$1Tov|5KK1_GWP1+tS+FBR5j{U
z8S`<I_uGf{WR)nY0M?bo`KWCb1ns)dF-drlMpF%w9K;0aadB+cK))J2%F<Zdup#EQ
zNL*JjS#1AN?yJSIa57F>fG)0kD4jV9f+y$zO(5|76htS8yi_2V_DM6&Og?qJ4DS$=
zz)}VA;j~%3)(JOK_KA<6JKoo2?s9_P-Az}A2WZSu=`e&ZFOF?aF+_SJlI35pM9vcD
zoId1HH;iwYMqTzGQ@S?FXPm;LTDZo=XLOBdzmpjn$7$ZJdClc#?h?n3fMPx3)Um(g
z8l9p~dh6d(c!4dY<;4My*FAUv_q5N0%j83!TqV~OR7-0=cAibLGK$m&M<jZk>86(Z
zt-hY=Gb1c;!%WeT5giNUml2sKx^GLj?aOQb%u8|%=!HrKqJ<F2^7mZ}5VI5bPZ|}c
zpecrzJgLUg27Kia>iK>=t8TyU=KITbWO`ibZLn~%b1Xtmx6T_cQO7)Q*coE^qD>!S
z+RDS-$=Sx?4Azeh%M}aS*|=r>HB&J4lV(o8OEB5-tcp+`e(Llqk)qC|UGyO@k9ayv
z>#C?}D{gDbA6FK?WixD|w#M__g;BgOr}hWX8on)U`+qZ6`<z}cNCw>Av(5;>2I6}|
zeDZ+=5`NyO3O;{6eSYE^3Yz^Dl9D29jt(;IU%s97{PjL9_;q|@nfQLb!u;%h{yY;H
z@c!&7nfS3jca-pPPAQpy7jP=6DDaY%zT#6;GIJQ6Ms9wYK^fq(Z<q)YX~_5W9<55L
z_)W@j`;vNHi+P<_s*uO$|2lYrsgU<c{=UCho=T~}A9%jvI?}zVFwJ=wiAc+r%?WsE
zx`<4~|9F80+<o(c^xU3S)^<JKR@Qbx1ok;T-=$|7`0eaR@68Ab<_G^4z*Xg2_|qEB
zBEQE<nV9EwGo)$Yy?6e?YB`hF<+T&vaAXkpvC#&5H1mtw^)cQRb6UUE>2f#g4s#|~
z&~>Ljob_nBUyxDH?`(G!)^a9?|L!bPA(t!Qew8rbC_C`&MG{e<&U0q|7eCPMg)XKA
z<p{)EyAEzet_G<Cz{RLKq5kH!PkbhtMt-birpNhnen>WRtJ~*bt*NC}ugm9SSpB!{
z)kbT;!8fDRa;-tT-_2B|pgYcAtZ)pEp7%4&ZLYw}DcafHYFSMOy$*=Pfx=}6y*7`J
zTwKjs{kF%)1KCVZ_Evl>6$#h$-z|eo1b$Stw%(_Q@lRX6PhC%r{!Vv?Q%{ZoKyI)B
z+nw%bht-G<T~C)&p5J0f&KIxohzOPFU?b!{AnS=eoCb!f>e~7X0YPFt%j@bmImv#z
zrtLO5$!liSR>v!RJY99IuGWa@lu|5JNsn|FI(k0{HaF&u|D?Dvtx*i@{OC4UGH-6j
z;dzxPNn)Iu7WK7m_EPDsqNW*@hczasJnoq9YdNb*kEhrFFkR4XzS3E9{rY&jEDcZ%
zyeRx63LFT0yWH-u#MH)mXygdyrGQOK7Yx}rf<MhC^)DaTT;pZqZm~a_|9B&~F8to;
zaITY+hjVFL>#4(B3Wb!O(m!q%>Q`*uRNY0I3LD$;BvAJyT=emFvm6QuFnm4(`aB2v
z_<}?@Fa1h<xBUuGT+62Hf?w=*eQTz_WBt}J1?|$Wj%R1+&@N4b@<vKcT`*wY3WK@@
z&QocvtSJmMu~@I^dPBtHbGruQfA5}hgF4xXBzTSeruOc!9C=?<a?D=0P@5nVPccbf
zQZZQXwl?#acr5Nh#OsBuAL|oEG+hXVe7w@v$-yPGb9CxM2_-aEfDHy!fv#7IK;QSF
zIBaIT;B`7qmL&8)XMTQIF-;6StRLB#86ot)PmX-N+HBzB<p^3joevSrsB|NzSkN5H
z|M}&0Ge#-!#HnaVLD)a-X$?;k9dy=VD2$FzMmzrV(4lv<zZt(H69fgakJ3)}2LbM}
zLwVm>qW7~qCtrf5vI5$jXP2Mn<<?%FS_kBztl9d)E`?o#XcnY)j4DSp8;^|+RP9i1
zM`nNVna`?Y7BF5*>jeME)BrrNegjpDPyt8B={hI8;<Wu{y|3c$8)K81_eCi~NCY|u
zO`{4HSk5iA!`pA4FPhr09+J&WEOW{)E8D>g>@c$1Ob>g<x{zu*0P4?=KLyW@ju0zM
zk9ya}?bX=JSv%5zClQW&@pnoe)Rgu6X@cNG{(ST>S^JF=s{m~b{ws)St@3C4t7PdB
z<`|MUKj=d<?~Z+6IJ^2fyo++0rhRHVh}kbHkVw7td3YE5)r79|JJMa67ROv{!c+Td
z*VQ;3_Q4UB;$fp^EDycMMDEX{x4%BA3dF<Q)L8;X!CnJrf4IYk)>Jh0brrvk_b1<%
z?1RJF=n6sktKHFykqGvtCuAZCGo9t0O@huVY%j2}a&y4DKdqzIox1Vx&+RK~>uh4j
zA{3(5o4PpYlWgdx+m|jskxBM;AFsjAk1Ul>n|(CPYg&`Kv5gOiiMA1<`>5g)Z20WB
znE89y%d*AIc;~nO>ZwLh5*oY6D#*x4kF>5CmHwPEYQUdEp?~;CzZE3t$ilLOVq_!&
z@{QBo^P50lo%;d<l)xTP-#}CnwT*NJYKjz~y|V<v)SvI1=0BnkxE4%24z?OR?26K=
zA530;p$@-=!Rxmkq_mE4ZQn76SysM>w{zG?gopGNl1{*7MzRdRqF-h(?5{C`X5wDk
z-qbO)<~&iqHL<SOD`x*$E%Ai8r6+Lwd^MAh`GXGYdjr;wA}^awg-!Pqk(}r`<-fCQ
zo19!c0^I0H>`*ZH*d#kyg<*DKrGt^$PpTeKN3|?2cYV=o)ZO3f?%iJVBTFbLB_cUI
zTZEqzENl6AU=GC{wkCI?(R^&h^<|Grf|KjVPJk@>*!Z~xV1&(O{fno54~7~epTf<j
zqRNF>`87?=&Ky54PEJ+{PJL^_60NtxR3@aoNJ+~LUTNqxYM0_>$IHom>nMv$qB%}(
z=KTDJSPmB-8|VD$?BdeS(YmU#oT}mHgH4;5R&ThwxeLhQebqx-)PDEheP3k=T!=qK
zRqgd%o<R5ftel)zlCBM^sD+@}JlUHHu?EqROJTbv>3uST1bDeW5bT&aS^1fHq;S$s
z&D4}rtsLS?drb31DTII&x#L`>80ntsfx`IZ;}H?>n>m-#22g~Q<A@O@MlmX<^ct=o
zFl#;!2cBm5?wk_;+BIPr)AU_)k<Ym*L>Ym#R2ZL6CXBZqKGtkafrbXN)wQ)$cD2=1
zOjgkkXGWuuzTEy*^6TIP-VTx*1ioh<T>`Nq)*-eN-NCv}{~1ll1+S6WQQy>1is%I|
zNkrnVTiDU>peFsCLx-`2j4xp`euGL!1;=q*3hxHI8TUNLbdzK+--OO#7Hcdn;wNH4
zvsM)nwY=0+9_VC6<|C3HDYOduk^RO5TvJ%x)RtdUGJa5(6|a*nr=pdVnH@d-BWze;
z>j&V+=ONL8_IM?(PKVDMWTfQqJ9J!OPi<w_+{GUpwIY`yA*y6sc@Gv5f6(uV#KO;+
z1xHw>r9EQhU7Lbdre8RnWEvQfM9P^&NIX6qkQ3su5d6Vb9;ph^;@je2qk!azal7W2
zl7wlGmcqr$I_)^0s2Uh9?N$k`VP+Gu&|JopzB8`MGp6E-!i78@p0!?THBm&Jw$>m&
zi5PucwaP8Ufc<R1!C6I(t&KHkbAWYJF8&3Ramo;E81K29o__=o&TcFgxF(S@j?4tj
zCj3<OMQ<f99q?Q8VZ@pYlcPJcL(6>M;y9PYUaaVh4wX7~^?~{~hq67f&xxI*eMO~*
zj%-;d573@h=Q!A4Y6aXk>8yJ^k-nzlq8K#%xPzmuy|sf~S#3Cbd&8uG4a@POOL=Qu
zP<D2D22AKtSD0CPZHkpCChdL3pK%?eg36B4%vlP=hetQ}Mw2)Yp5$n7@RyetzkIcF
z)^%E;@{8P}z7lzXnbeox%@tK@wR9xiL=4ZrF6x8~<h#R*4uT|AGgtKfK1|uqPL&v)
zo<!VK)OxHz#f4j$n3RiDv;L@lWU*`;aPUk^&s?vzAhjxlf@EW7o<@zF-wf(Pi!#Rv
z9nvsRR==o$m%^%Y4^^dV5!E8WOwEi&bicBxdzNN1B;C;kwL9~Ne%8<wTG0eCCM2Aq
zWt*ikmF-1RQ!1Lx(88Y{xA6q3MN-p@t(k<eNro9CYh?BamqXePKv5+ML6%YXVI4oO
zsdR+;{mSF%PEG}yq1PIo1w&gCkGof=ZIG`9JvB}v)E*HrOa-lNdTUX=uCJ=EeiD-3
zkgg*G#{&-*D=s3Cn3|fEKs*G|S;}~PsD{I+t=BD9&bm5ITWNcS`xB(Rp5VP>AwhCy
z$d4fNTciv|49G0CsguMEw64TP6Wd5u8SIP%ui%(wBf0<Tc+SPU-=wL}#4}hSKl_l#
z#s+MteOyMiQRWAAR5ZHC{kPPlT=BQ2X3~HIEjw{svDaaOc$+C=g0XXIQVv28sx&%|
ze>65OI7%aD<}tAi@(uSQgrA%kUg0y^wn=fsAU8r}AOXpBla3rj+ImMV;pwN)Zqgo#
z>Vj*lU%ebOqeVT>EZ0CPs1wj|WePg<sD>$D06P>e+}v<x)&y<ZsI;90BdsTdk~em;
zPN9%_zY1tjQ^3IRGZ`L@RYa|gYg%7u4ONtdz5#-a^NQV)N^IL86p{w*!4Qfvv0&cB
z^ca|79I<#EYst+Y0R~`qGOCoyD5L`gO>v;Mapsl;D8r<YX<!pq*wG0PEfF>+?g^%{
zIpTBYD3lXZ=}Bj~G@Q&dnY4;otjS`J^AeUMC5|ZUZ}y@rusDpwlcNJzF_f&7pm`Z6
zC9BzreH3M2PTWG%N!EwO?=_3P*=F^3;3nmA<x8jc!q}lcxfpCT$e6cW+Jm`~Pj<k5
zutO@`xA4<qWOjY8w|zXF)}h2soe;2$ph*qfVOcVT;MnoVP(@2+=zwu2`!EOAex%>y
zrb~`ttJJKViHSIBqMQ<@(Sq3VK5oe>^+A#$ra{hhz$~<&*?pBZLZRg3CC5=t95~eG
zw(K_PD#W2f2u7_zBgTca3c#trXuc$SzwJE|6I#KEI%Eo2vE(Tl1cf;vx-w7*Hh2lb
zXU2D~!AKU%r?Covby9JTUi`4UVYrq5f)_$MYV*=mZ)u^dz;9*>*D8;bkq9yKQu5OB
zW~OQe4O9<Pkc&xD!6_&#Mmbz3P+@my!8md2UGEo=M5|%Ql_@u-=xy9ZuOrP-`M(^x
zjKLApXMi6PkH-{?o8%J_u9Ph3N)t0m-5{vo7*n7X#?kI`&{&b2lOtIk9M#V~Qe7fb
zB(r;Q5&&_7LS&B8-QDU^?9*a|#7>SCm3q@v$Ogqt3GsNThO_A0Lcxz`$ixhqBrEkY
zj(+b0I|V1uRV2gMyBW%-pbx=h^C0nM9{mkNR;-fH<{sjw;GiLa1KW_o`e)_0s&X=$
z8K~bnNiq<|52jmaTCbniLI$Bv7Q24oA;N+z=Mwm0M0m;YXxZ7hS;^nbTUqdh^hg+E
zXf*K>l?x}mo#@w6#LE6DPYrzV$mbLc%vs=47Or=<u+JdELjAvi*kdG8(t|0>jQ5u$
zyl@S>u~*yd7!aQ!EJ<LVUpn~;=JyA=2<t_dM2RSYSkY1-Sxg8_wL&1De@J9x=k}2_
zk4PP3bwZJFvv01;Lk)w(FltGnpjQtA#JjL`ynY%dm^bbt<D|o{O;7AOx%APR18u0J
zpjd0-6_f-eo?C@QQ(F@dhmkPL{}SlsQaVZ-S4~Y#O-WHzSzwvFJGcWEneWx4@G{Vn
z`ZY8C+b$z!vap|-Bp8K`H4^?A#fVc}I4nc<DcmC)Bm_8x_#9b@LxL{~EwqXc;Xv50
z$8vY`ff?$16EB*EkA#ND_be)Y8uO?{Vc`tW<NauL^fiaDA2AZF1+1TO8Owq*asnn5
ziYFe-hyl?X^IinGS)Qz)HjHb2J#K;PygUOg@7NtBVAA64ws?9Cg~&G>oWn#cZB~q$
zdv#SCklJfnLPkkGIAXs65WayaZc*B?r6!_8B^Gis8iOS|25S^4=c5LuW`+h5h0ev?
z=zZhsro;a!skxbuGbGwKTU=~zc7${QHhyqH$BBCc?R7FJR>!=n+cyXk-pCIF4iNE+
z8>fZ;_+)|sLSa(Sz~Q?8ohJN@U9B=pRXhuI^qBE7?E3;yO5(H9e@l+1TcH9b1fG;5
z#e6qrp%)D0n>fn^f^2+VpXu(#nKqi0rTv)}?P~B7(XfhGY;#FgI<o)&R446^@wj9c
znHN)M!lI{keGp!<KRdZ^rzF&V)`jE>G|#h|nztUFL*t<G9_o%a564rN>kn#geVm_I
zH0bH6_%U^?EGFLyC^uyEF!-Ra`+PamFJx4`<-xbU0fcNPHY8E4@M@|*Y(t;}WPUi_
zJHsLuJsreaB-*LIM_tRy$wiGWWv)udj0zd#LlsL9dHHD<u{OBL$21XSX`Yj3Sq%($
z!n>RCQAF58^zVq4D=R0dL^X3dtRTfYPq@SvFm-H;dDJ3}(MlzWWI^gcw&l2gKv2x2
zX2u%>divqM`SXM%=?HHx;I?qBNPn8qkYr89-GgN(BWPe<<>G31`}U!jA1f~H$l8-}
z;K*H@-tHb_YCz3}FbAj40Qs?PCyhmMsU@#6U|!vrV-WtLx;$G}71F|AeZ0I|20y6o
zXDxxzt}00C#4vOpkg3K>)?7v#kJ{fl6+;doK{QyRhfPKjTY<i&6par4;F+mI%@P$z
zyanvpYHFEC6qr~0fWuynEa>JyTHf2vroyt*TBv;TL?eiN#Mz`{I@^xf=0Aq8LM+eK
zUKB2l&cEI2b7MPi@<7;S(t<Fs>JkQ1T{6dYYC~m3(};MYoCUA2^lMa?$aYn4#31Jj
zSm~oey)9mw{dTH7H#Wb<iQ<fR(AP>f<u{(f?^{`h^#)%@O34V1%~uwsz=TWFwicq}
zIflXxn;#Hz1L$(IL@g!hq*Ri0Kp1vcV%_Sa8`p(oiOadg-8fmsgatY9@tM4j4XkE5
zJ5~PRB@&E(Ci#Kw(RtVy0o7FiWoybeuPW_!e@7cT<fQ;byYfdhwk(_-t@<INBO2?H
zLb;D#n-L6y;EqtB1Z@)+Y~d6Lh{^0*-V9_jYc{SO$^<XhOwK$(0L`3A<T{ASmygF=
zL<%DuAu2o{k}{b^9Jf3^`$w-xQnJJ?YL5`tFVArvxLQT|Ti$)VT&uj2-n<$(PvI(F
zBs=z|fRX|Np7ZN4uDk@Pr(=Rm^IMWE9aQ9)Xp?%^#LKxa#M^fBtDmEu;g3fdmjs)n
zhi)w<IlgX*pZ93MeP57fXf^gQ<_>1AZZ77=|2c9rv4LS>W+7rC`sav`4~B?{QNh^W
zoQP4{p7Wm*HE*Zy6D>s(8*@{)e*)yp9W33fh*+4}z7whZ6Cz=4=VtEm{cC6JW-exK
z>S$*EPq3=HiQ9h?OWPY;{wGA!+Uz?eCo{`Gm!-_DEv?*$*jfLRjfl0ItCG2ksH44;
zql3AF8xhw(aYP;M99>kMj7`mnbQz^ZMMaEV&CQ6||H)YYKUv5dyV`yih50{45fFg+
zzZLV!InM?6LYI8H_I%nZg2wT3a@@%WL5uMh3Ih_?A>#t`^z@``g@A=7b^xoM&<%&7
zza(auRq;OfYIfAsImBJf%1!rmO-14;^8IyZXJKjiv^Ck~Ipa9P%?cVso}pzDO`a$Z
zCQIiXV)FR3DKvSBB1>04_|I2Sk_m?xR@AEgca;Cc%Rp0^jDP}V?)d*>45o<0tRfi`
zS$O{67>Sx>!bs&J_0H@lTjVq`A!G$O(wente>*so>s-y#WeW6Bc9tws&!y}=I6cca
zQh5s-WB>aHd<4kibCof^={yCR@?{|!w#RDQB_+!K^dkp4dgk;alD5{h+T|E3wK^4r
zbtThx4(eyp>SwZlaiyAYR&50=Z8ye2Gb-7WXqJ)l>@N-Wv~@3rA1%7g^ZZx4wqzaR
z4Q|TrI`Nl!Gu#c`d~3pe2Q>Krm$LYLhPMoNCcKI+JRAOPg-3Vxe04tEv(pXbidjdx
zzHAQ<c89tpS%z7MpTCq0B~F2xuo)U;TJ2Y-8pJ7QEbw=fXC8rnRU6#dZK5vuHlALt
zGW0f>d(LQVPBg+^TWv2F+B+g%0TbZAdN-dOtaj%`J_&iYp0SQ@de&uMA?dz#Uw&We
z^~odl$Rp;s0(RK?*z}K-5fCNc7MkN!y2S>81=%P7slfDySfBNPszU3Egt{)<W}34s
z3v!DBaOxd%iCl;Bz@;k(JNQRJ<4eNeOTq?_CVSw8FCubEn5!Vdnkr?LePKCx!fg$u
z|4A51HwFK4_Ttqje<Dnz9hu`W%d{U^c-$*XD7B0)hG#Q(xdh8cUA!qH(%i+Fs;NRf
zxfIL4GSPj)23aIv9h^oD1D?3>$B5drjN-S5={k}I)m(dHY<bY9>*A1w)1rI$NeNDu
zW(3-L(IJLY2f~pN0p9jtNYQ6eCqKhIUl;$Fe|90dv<6w-JRlm3dmgH>3Q=1>@QSRv
zVFbUCuyQV7lIp*x@ua-IDS72Y*s$RLPLLSwOY4TMja?W;K16OI8W#Lx^SedfdKEd}
zjf-k#<`GcS`>xv$y<JXhd+Oc<um5>EpV%IG{q+`uxRKd)2H}1XNkA(Y6l0^|e_Vem
zs-^|JUZ}dE836Sc^jG&OAwi|!?f23;N*mE}FHiWTzl7d3pFb`#wC|!R7u5;9t6qxW
zDqaR%FG_#e3Q~7GF0h;lGRD#<!*670KUuFf<$2Y-b<(N%HEw*f`k`z(HE;OnX$3ZK
z47(n1=FoS%oWbDEs0-N((Bs~lhsPVLLB0NYKfFWd@CS!Q2h7PE?%raS0iCtvNQTpI
ztF6Q|?k+jf?!Lz8GXB2JaHMhQQL<hKuf4$R^3bbl+;cJ4YP%2_y2vz=FTTiBnwp+S
z_s}ozyeL?nrcG}#tZKdcj?wdG^A|sp=Bix<{G>^yqef%PzZ#}$!?o*l3-|A%UTuO+
zjpmjw>XO>3YvJi7uKJ@vErwsA&-Ii|U0=8E-%v;OZO_W3?rip_t+MVbi|UUS8~jey
zr`~Uddk72>6`ZglzK$!6DN)bU$YKtJuJva??rY=~2VB=W(h^?#0>Ek9HBtqq*Qa$e
zu+rmr^Jrkf0H$l5itgcMc2Q!-TE73113}*2kL&{63*XO#bmdTLEmm^gFidh_;b%l?
zj~iQ|wwO;t;mK70LUzBsnZ#Y;iM(@`RYO@72J>od@9S|@hI5-eNyAS`3ywsoK<uSn
z(YaN6Q&*i-j{4OyphSrQ7lq2!jU^{oc7a-Yo2<Ve8K{>{@iVre&1FC>7bv%D6#GrG
zt;+}(hhq=WPwPYZ78g<d<AZM(s6A&v9#<{0o!bo18OA#uk7I~_3I12{30sby=Whs<
z0r#Tph@JTq{@cJyNf*(C{-{@;TsNtNc7E@WhAZbQpn3a*ehFX4u<HXqi>?6T0AfKc
zh0i`rduM+Z2Z$M&06_f2@%^6QIAy=S7n%WvM!#lQ`t|rZOxdTT79y@2-;1iG*YRWz
zkN5!_VW1XPU4Mg1Jd4FPflR{>cw`6@k4!BSY2~5K&8~||_l~$HC@luKO$xD+mbcTH
zle{mEn+-=*!4G>px*Tzym-DOCxyP2Vqt72cmrvA30eP=OR|`GwriYn5Gw-`k*p`9W
zZkH|8bwQ_JKLQ?Gs0}{_&S=X5CqGXUxsSfIoIVr74ZoPbvLj=o4ZK?6&Rohc2^qc~
zcjg@l8H5i6HT8<pGe32pJ;xq*2hhha2hdyVPUrI~83c9QUuv7aFTtM~PYnrb8oau)
zSGC<jY1FjeTEWxlc{g6(8ruFg06rVNR2OpV0^Jn4$I;MR@xr%@SjRP5a7S{(w<7`9
zV|29suqdm$k*@<^+UO0}HNxF;2-nqVK-WO&f^Xj2tZtcODBlL5bqvM#qQ$%n(r@Wg
z(CP;D5RnJ={k<h|u<6;?-C-nXmjn``+9zB_ZFHsY1VmF695eBz+DE){i?9L;YYkv>
z@P=|&5XPb&klBFKCx#CLa6~Q$Vc8`?h&b;+sc8_I7kF{<;p2se!#S~miWQC7_eZD5
zc%W$#7(ZwoyuuYZajKLeOLQP3oJLEShe%bG^>R+IwRWq_G-v5e$mLr6{^HDeH*6FY
zkzOv&7vKw<F!tgEBZMi27der1O7cf)T^AkG)+Ty?XOxw=K!2^p$g@4Mc$6<-i!BE;
zru&a?MN{vrSmjN0eZnRNqeG3fLs!^;kOSwf2M@Dw9+0nt&TtH|Urv4qi*N_6LF|9X
zu8ZCXKwTaGo&9GhOv7bF-cEEZx+O__!yR%}*lO{yB<Q0qi3C$BYgM3(m>K}kuX;wZ
z1A={Xo+ADuFFa)gjMFzjU3SZ~gro<3wIX>LqEvNlfIpm2LPR=&bB9w=D<@v^C`AJ`
zr0a!jPYkZl6vh#{uJk7xqF+^*tA)RR`5N4hL{+1(+_UEV?|>F|&j3?t1>0UryQ}CG
zh8FurxnR+W$AHhCVv&<fH_)?dG@u(UQGX|MXBOW{sQQij?_y!UJ<{Y!_j(jcsPqT^
zd${0NkGUyg)Q3h4yiSzGHrf9&hhh=*ImfVlUX}9>5Z9rPWk4vap919!;0G0;kkb!>
zGVv7GnH%cLf#ji;nR=kq9g0lXG05J@7oNXoK+-)58;QeX57&aJJMc2x2htc~tt-^A
zXd~W}unYI9@WBPtr{L5e-f_a0IRI~Qb3LD+Q}hfPu8bBDg^PGp7-pXbPUP}8ZE9f=
zlE|77Im7``IUPrX`Wl=1Vb*Rd3s_sB4@)1{(J^{%uOe_-LHMozLJ(L>$4r?)aXH|+
zSa3;^&+e*2&uUhL<&8r5=a5|#6H-IRHvo&FIiQUV7$EPNi=vHiz})&Y9>uS_gK*)p
z8&MNN3kD_&!*%h-q}vv8h`(57mf8^M@O7AzsY0S}-W1t-GrA>`xGYWsjuKzm)<LX@
z7IA%pFL~Mr9o$HLq-G(&8%!tOSAw}UqT=*RK$Rj6Gm1zKW~%XY8&%%x$ye!-+?nQA
z(b`ie1A5UVQZs@dIVM>Exgm9qzw0rw$=`y0p>PV?LBhRNA4S*v+~DG#1a%hwrbCKR
z{x3i*Dhp{f30riAd(^Z;-Fh>2qk$Uki{1P|*lfzN68`~bCX1#alC<Iu3;q!eD<S}9
zTjy!Q=z4LQHyvdu<jN?YKL@{6pHtw4i=d(ia)X{UOss~#d5V|}!4nwL(4f~ylwpI`
zAlz-QrjhL|RUxYos^o#;A&=K4>yOsCYe9^~+OKUEDdv5x{Gw9M;+}MY{CYU29VQ1e
z2RcZcL2_5k%*ypxO%227{!sh7e8>E?2I;iN&RLxKe*i6-I+5mcLhonH!R{=6zoekN
zyeMavKig$pq&PzvOCyv8arAl_zsefdO0c5V4&?j!4A)K)kE#em9T#}C30G@YBp210
z=hvYOTyZK^*l<caLA4NN$=C~V%t=q>A!N#*5Pirh`Cw2ax|Xmu3N|I+^dK>uDShHv
zDTVxU(#V@=GG21M)U;bI5>ijIt5xAk+rTK={TcM-zQYq_bPx@#&zN2G2IBtzgW0Jo
z((X|FBW3X=V}U1zj61><zu0-<!)|u~>oUj2J)aci0iPyWh<wU*coRq}(Vo&+A>y=Z
zpJ0Ab8###1>>3~grplCuD(<7!Mk2Nz+@gVK*@sNiyOFNQF@-kE!c>{;r}NpKgD41W
zeDc!254g#4y0N)iIOHvU6_$rTs2!&biixPGZ3m(xx*m@MT1oaXRycT@Q4V2f9UHLz
z-Kvvl{UUa_p!Q>O`;WeUWg;ZZmR2XBamNdf1sahF?F5_A6R35d?F+G9nf;!#lq`qE
z;NZg`=U|TWe!z$K8oTn=%Qh9-12^_;>jhTDJntxxV7||xB#s*<6*-yBc6v1oQ$7lf
z6;oCsH-NpZxffFRnm01^dNn0B9{_`sPq?Wer?dg1Yj{T=qWv$FR8gbWRlbK7(?hP)
z!>gBk-u=QbA7!>8fHw1DYW$=YpHQ#6ccyN-m3bw3@|q?X5N%U#%(r%t3uaS2z~Yk1
zQ0m94d4b7kGB&ltN0Q>&i8nEYHvN=l$5D3CL^wbLXF}LihkR>IBi<cMio{R;sa9t>
zl(hyd8~)0u`x#?`_OGWns>iGWr$rJ6gE8~fP68_S!+}ILb)K43N_+2md98dA1oBB*
zZYPRXBF6{1|B9wO@zp{GD%4XxNlxmKLjO(~ZLSMRftCChmL^s0M0?uX=*rRUip2`i
zIJ_%@amNXucbxOoG%$P!eTeE`)i?f(5s(d=>zn8N(#`tx+=&5Mx$MtXNQJ;wz$zlg
zQUT-S>jN~kQb}kf+qbYHw9zU)x~GXiO-Oj54C`xp75t<@gd-MJ5OLqi-u)R8sxOF&
zw|YG-3%vAwo9X_Q54EcDJwePndRHct=~IWkPb-B!cC2QKI_r|q73A#7nbLHtZB@en
zH}Ps{+oy`&v7xtMr!5F)XvFiiKF=(X{Np>Jaw%t>EOp#Y8m&myCS$-l&Tx;6jkAfI
zwCb=j+mtA8=g=7ELi$bfiw#HA#$zIeKV6_W^Z$%8(bSPN;ga7+hy#cA4r4?*VqdIb
z_WgjmgNM&6rr5kE`DCVEk$JKj@IZ)kKlM1UNpZoY;jOriCN*#2wIYZ!fqEIH@z5lx
z#If3M#-j7jsT}`kXUQ+f8<XBcx5Fm<`Fe#0np7=7-q2DTV6>+qW#05V3<t!N<>obs
z=^0P$>F4~<s9HRo1$_`9iFP=q3sbbl>+p7<DWO#)P?8;npYYHEbe8YO9c6^e<ZpY?
zKQLG0d!PMmtcZ2`4|k*!f@WAq6_3TX{U4IgI0@tlw^M8$8{(w8PG^ME<hnR`U6tdO
zvtNu9y6bF6FJOkW{Y8PQV?o8oWo9il-M(zf8T4%`Sl{XwQ3#&}`d8!`Jq2F>wo!9u
zyurYn729Mc?y7Tlq_DgRGe^E79wJ153?QhZJVn&_Jegkp!Kyayn_nFA;mO{CzM6^S
z2q@P{+VuF~jSusF`8Ei&L&?R?xqNZA`5DS+URVuBN099n8Z_ck*7iA<jceQnFH#}y
zj93$|`*_>3{JTN^+a8UbleS{Rpd<Ne`C-O^=F({Uxz&iG{UTo?U)4xWr>=!KcYD(z
zFRtG&XEHM6!kYzNp?`z>p%*NADsv%5oFQb4yuh0+_+N|4x<&KAXol$>ulSZLZSThH
z{@d7obB!8}1@i62NE4eo2GL^^NgOS*Z`x^(FIEW!J=zzAQtk2wb+jt^%_Tuyq8GBi
zf)z3)>L=DE<?*Z^L5<Z$b!`?teJ|jQ(fpU+18D;p5+07_$An@nq$vr?eKxRvrEl4{
z4clXJSuDle+7jmpfa9z>%G=28DSPzCxWspP<cGP!`D{qo3JmsLL85fiL+<-fP1X}k
zLxOWHWAl81$^?RA$8!<a8@J_hT)?r^iTmG;$a(7!to}&ESjQ`T-N<)%VFVqyU0-r|
zxvkpSB=Z3cxwuE5xo%D(KJhjpk^ivcx;e2T7}(zZTVmcFUj&?+Jh$5t@&$U@mZUW^
zmZDaw0l$DsQ_ST{2h4u}`Ch3}`Dowvi4;#%oNW0**^k`Yv5`f_zlkz8d*@GttDZ9(
z<{;q&RNZhWTFbu%DdGf(As^_jrWHjY0JrKPKa*3LR=yBcUF3F|)kbFDQVtuO2Hd`n
zQshaj;xPk%janb*=?I&Iib)KAYk|K>Ke#P`%|!s))yiu?pb=0Qwg4TQshY#wI?jRf
zsst4h?uFVRR*MjCgLz*>wyq-KSht}(08{{5E$)~AegZt4x+`0Zzh9iUn;{LqHD3nf
z#oib9e$X?kcPOZa&RHm0?Z1jTgz7RxG>Be1gJ~h|T^zIt-gef0J9*Y=V1AHgJ&SKL
z9LvcQ1Db<PXH)nhskxei+>xV@UTLfm%_w$CFjm;+iPguhieGSzbg@EYqhOYve9Gx)
zr9$cs&u0JpWP!)d#KRo(2gdQ96dTjId8OAkNrG4PuE&WmW}aAqUqq$?VmW>~{fm*L
zO_Ba*;7rb~1F9w-=1Ze9z{f;V{~i|GMSSCJTk)i2_`CW3+vAUVXQK`h+=YwZxU&jt
z1*3qL`Fpxl#sR7j%aaLPxMd|T?{;#iEhmwN)Nf}tmE*A8Bo?CeJ?2EXYu!`~#oQ10
zF&AWQw?y*|$-i9x{zAg|8NGWEFsEiL{w}@?O0qvuk|ftYU`*FpNE%ow)~=lGW?v!+
zEW(sTEASqmv;9}(Ba^;{N`e`e1a9!0p?)x>0A?pf0To%ZitjHIE<A+tuL`zA)6*!A
zqP3_x$p@%u<=@^^9uBbg@CABYbMvLj@Pex(B=Q2|zKvWo9Mcpkq`<B$Vpg5%HZDtz
zW_*5Z^3DLNxkfkkb}KId+(G|)BaTN+t(X7Db?MFd|Ek*^Y*@X;Pl+dq+jl5+$p}df
zb}}%vrk;aCN(D9{+y;l;C#89{Eob7AM?Z`L=$Rq=?Z-|qMenwf@W?}7mZ6wFWA5^?
z^2L-P>A+vZ3|I!YGJbZsT~pZR-v6&#j#P8ZhwVI6p$hLRl=GQj+0IQ14nyxk5ycom
zTR5SjOQ^c>1^%R?*fBoFVS_SCd0srt5k1>9cN9j|_UANH;AhErYIKQrrwk43eoXDB
z<3Em={$CDqr_E#vH{O+Ny|nu+oyvVPsD0(uS=-D5Kb+(@@pSJ4cGN1IVVO`Zf#~{3
zFRTe<Na2LQrvoFsl5trgc@wFjdJ6yZE8BE(h$rbEq4Sro8oYM#vhB&;{|z#{GBDQ>
zMfB$Ef7M-HV7dwythPLX&~kXhG#$j#Swfn!nrX%bLk~mXG!4$|O`4*bt_Xk*T84-<
zg~!iPSwOo@$tCqR#i<xF4M&NZxMjLOCJvmXqK-|>)d0R2!5!z#JEO;(yjJ~AcffA~
z(P}T5DX;G8ffUbEK}u5!leLL1*T1T<o8=q7(E-iBDt}WI)LJlMR{y4Fyw@TBi%65p
z$Hmhm-^2@b_#J3b55*;FTnUNfXLB6sAtI?Thy&7;K3Rf32P)@p%s5L*m&}-v629Pe
z*xjh|sWf?dYeL0ZBuPVtj5U81)J)<L#@)Y;qJ2Pq{@5;y1kqTJUn!m;+j4Bals_{k
zl1MR`@7*5|BC%cz2JwjpqH&Z*V`*wf+rvHV@I2WM6^IGLP~*lV$I@?jmst&{DdXvq
zyiT6t2Rv6!*;(HRlq>%2KIstV?Gx%=J~F2sG?lW;*s-%#T8kzgWo@yetH~nRb6@eG
zXp9u1Ocg*)#<_XPDdA=tgQ;MkowHnsgMXO%<$86etjIUz9(baz*w*WRT1EKvf$j1u
zamJR$kFoDrneGB5&q;kCn6jj)u5`#7l?@o=9>u`DY{!*ak|UAqe%gBYgh)Ww7{wp0
z#C?sXRUyJpCVhp>A$w9uEJ!@fVNsN&DfEtlKra*8<71v{Uzs;tAs6fX%Y})w7JN6)
z)&6NkodaruPrsaN1{!y8D+ctv=T+7S0Y=mX)PXp=b~r?4KiNmXOt!L3;NHU{kEnf#
zccf?uDDJ7y-eSkit1D}xJ=|jQ4#TMXJ)`}##i+Yg=@5?<(!{aUM}fkYG2a)k`S=fH
z(J^5{ag(y%6;Wqrv+=8>F1D{ZGNsG}7)`fX6`2$vz?UzoUA9-9od36{RsB~nceM#z
zhtLMmI|Loy__=c7Q5u9*5TvFdMvQ=MNouuYD9oIP#dD8(FYj*rsDcA`H5$OYapDi)
z2%%xDa)6-yKtiW)+ZDj4ADs1%Zfxp%Xf=hTo)mW58g^emOoQMOn7tI0DISE&8B=Ct
z7i@=T&9JKT!VH$U^~;VI`|_<u>~r*A>Vx3l86AQzQW4VaXZz26#mX`Mh31(8hbmda
z(kXEb16ps+zG?&#-KIFd^dVcyt|!(U1GMihYHb<c9XDHgYC4|RBPIgvI&Ybd#|Pw>
zKi6Df&s#w~N`tzv0ag@I;~>o3M8LKt3|t<FIisLsZBmN+A$x5AvcYt@Rd>RXwvIg(
zG(^8DhH)a@E;n)wl+t>33*3*MYMeKT73D{1=d9v6398-G3Ff;g8g}dA6PW-hfo5LO
zYzdM=$M#)lW4is6D}}%&x1VKu02l;Sm7Tz!Adiz=I`w_D7TcsUP5<(j;s%~}AuI0f
zTt?MQ3}RTWN?5ogae{Plh^Q2J$P^K<sEIJCq+!&`{fk!4GHG1w!yNoe0;JRS7M<%=
zV2Ll3;|v0-#$&h!wp*1Ap98PLg#0ZR4VfO_q-Mde)rf}ngxPBca*uUSmx`~)edjZu
z++Syg8Q-&r@-QoT&;<>`e1nO;fM<TETLP|J&;(ROXl$o^W~$R!iLrZ1vg2)!{B*Cd
z$xlz1>WU4N6!ZZEbBw;WK^3dkO6rGGU@qk_{%5gmw`pAyD1v<$JrqXSs(9AMPaiBL
z%X${bs9;30ZCT=)sIry1_|>N<m4ElnH-n!rJ<7Xhu0ws<gT2-Lbr=2D`2E+p{iFK*
z$416#bxb~a1*Qm4g-^6RHiYxZef^{S{ZU<7q2W8e-ybymdP6L4B`kcBIQ}>!bDg+G
zfLA#C)za#%_8z`rCzeaGy^2lGQ%|1XWhOW0=SH|CSWG*j!WN|Cey}PQM@oGc12kQ7
z+4|J-eaA|WBSbU_^w+Yq7X0)$$jBc&Jep*jyz>2ezKlw1+SM|H7`B@<cr1&-I&8t?
z;~!d^*9BY|gd*A`83#MZP-N3lD$mz3H&K)V!c_VX5G&Va9NpA*0e01xet?-p92*_I
ze?d%i6v!I_ipQUf2zrbNTT}>ZL<l;J2&-Xk#~4yLCIF7kp>X5%A>@w1WZyyL4rgP|
zdF8%ctFpI2=C`4G$m9fGvIJP<5rY13(J~7-;bea(H3^aH6?(XJa<I$6c3rGCLgkS-
zt|xIyTKnfRgJbjURP9iKx2N;7z;gxgNEhK<f2TtNu5?%hvmK@w>X>S85_-{vK)&_o
zDJHeqXFND8&^=)ib4s;T`7B~sZ^x7ui>!^xRM>eRm4I{pJ+PdVNeEo~3Y&<v%=G;6
z!}zHpQjb+2YzHr7!Jq6JdCkHjUlqgcf0XIj*rkRja~#PeT+_O{v>qei{V}hngnA89
zRsi0Pec$K{^<TE_rBZW^OYVV3{~C|sFB#oUI>)d!A94jXXUVlDlCHa3{e?9bSamF@
zaLy)t&L@4&BJSs2vEu%7#UH~Z=w62if)4qu8tttX8L|o;5^~H8L>bHlDhz3m7;+y(
zEFsx9YzK=Y;u0<50$G9(tweksGq<Ak<BnpkrK9`FXyag;Q+To!Qegv>@~)TK%A-Ng
z1qUq_#bQ>HHmdq)(xKp0DI|f@$p23Xb3~ZfC7K%G=U9A$vd@LHACz+ft$r|W$GqG^
z{ZCFk5qt^>QT^R4$e?ECQFir2IFr?UXEz{ZTU1$V;V~$d{s=DyhC(vmvNn<od1aI1
z)lp#Q${9AhT}CZEWxs#7l3{cx+=#;JU<6T^buUO2d>Thyz$SudJwkHRhf#%D<|3lF
zrjQv6N<LIrQq95;K|@j=nNb#(6TM3!+%`kP8Y$_>v435VG^ok2hw(82nn9MInvUC_
z`Ds_ik?o6@p+Jn%pbu`M9RZmcuGG+}$}<QmS@T!#?Cc^zn?)557NdrMxMvKeBeL>!
zypcl#j;SK@D=npL$HxL6H03T)cC1mXR6=^Pl$Ok57aua0Om``Ss^SF#1vfw!b(xJH
z%djMVrE@3U_DyGwDe+RD`$`&q#Gc`9Rv~FBZoTZ0j;4ja>0Um|en!QZY+GEyie6Id
z<;Cz+I~0Z{THe3<$8e|c8KzZyVWALoubL!Sgx&#Nf2mdS$m0_*SspMI1ndelfO5}V
z!IxM4nOgmkU;Q=>TAHwN=H_l$7ZiumwRtI0t3K8rb*w-5-mDfQnYv%Xp`&NDpL?a&
z%U>JG@Fvc!`)&ygdIc@nV4!UFRvMvp>e~0g0ANXc=@kjWiL^rW5pVNg=uX&d@`X%=
zeS>guey9wx`ZLwgU!!^$lQyVVVBXL&Ec^US7ETfx`_&a=#90PMTo=r@6!1QY-LB!5
zqr8*5fN^mzr5?qLqkeahIqD(zc+36X;IIG_q`if<Hr17T^LI6Z_xG}KDXq&5ECD%D
zgiTONj?TM~Z%F%ZR7V|pbd$jk&7<DhpG;e*bUH;PK7|`|X37)-kCJ=xZ5RT&=M7qT
ztq9@DQXV5zqgWkg!&sf@Z7d}ctIJ*6M28lMf$v-gONM>k04%dOJ*Sl9pk!{T{p3(@
z+&cJh2)18XCNc<PlX<@(;Lw$owxo)*QK9w1NTS>5T9u?o`1!M(KmyHQA&_#+Cg6Hm
z<^DieANTy;*Kw*#E(?y78+vn&3r6MsS={@#p6*3mL5X6ASJ)f<m)5fd!s5z>(02Zv
zYaW?(>l&A6_79wq(nOa+lhu8Cx^mKl!^~lGs=F4V_Mq(@c|tb(In}z>g6F}1P2vAK
z7;63?&*07Phi>BGRx|p`%NbGLMM8GY0vD-c#RRSb*%!Bb6a_3hB#b+>!;54JAX6E{
z3T+`8hT0&POMF~;v`#I$54!8A>MxX4Fr^%pwpmJ#blCFk6$P)B+s}cXjJTbKT)k91
z%NrC0aknBfw+1H4LX=J_+^{9Lq=w4>h6+KTHA%H&Eu{&V8d4SvXz~a&-pVz_Fj-R5
zG$(kFH-%y~fhm7l%@*m_&|gj$_!>39$@GxI28Gq8VFaiKsuf2pGE$d0!u9IE$Dxe>
zPbXLwRp1w!^2JmGnCnN@<m1Q;-vVZlE5AR4g<}Fapf`pq6ChQZEn0`Ge<Dfyh1`m6
zJRFrv^*u>sVQiGdWCe?Z-tjIsH7koR_-cH3A=&rT8~p~D(z`#-{pK=e&Ghvvc~4>x
zWLHfL-mL|gU{}erG@S5U0XIBMUKs<7jWn5fa<kkAMcQd8T`{?*0g|31W8F$?md=ba
zU-CmuB4?;8)X#sM_1dFY+{ktN=$GQ@Ov9dHxOQRGLulPK@D?n4xTHL(gYgP-c^BuZ
zPJT9M?ZJ6pzCM4$iv&g8W;i4<SlSr*|3c2eWGN5Mxl3ZTG71hGdX5V^wm|t~uKp#@
z<fF4YI|0)R`FEP-GJSlGJ1W}76I$-LATH^4Ctz{C5je*}C0N->06q>JQ>S%`#9Lq4
za3CE{%)BKsLZ;Dh5DaW+XjpLeEKq7zy?JPl!^8AP{kN?H1Ml%(b37Q4IgfXOjcLn#
z_SV}SMDsFd!%91KL-{9(#KLIHjEXvgaE(C2=N;ptDVUP@xG5WjN+Lg?uRLNc8%Vz!
zE#@m=q!;q}`ALET>50TrxQES!#K<jDSG{BDYDz3-gfYp0WXly2l~T#M5aw)rc&}^t
zgDbPVd8qjO&!{FzDn%>*k6L~EwV!VG6H@&Gm+`esVjHu$W|y}0%qnKTW3yEE(Oq8;
zM8NG?o%NgpC?}M^CX~LVRF}o#<JCgJGT`x(bkjcqc6yH}LiGEVB#OMUMNl&%%LhN1
zBCQ0)%@J6d_v(M$m?W;6Y@=J5oz-1nF*OtSV$}&_b;|$1yKMewC~@3R=)7@y@^^v(
zkzn9TjaTL8J`!aah_=Ha`VFx*OU0|`JGy*-wB1V`Mt1ir6~urhs{`uK=u0<0PXu{%
zv1?u1gq8&DnP>v`K1=s#G#xz?Qvj<_h}{K{F1UD{9!7M+S|-rnX|&TK`283F<66@t
zVj#d`+eGHS^F_Cu=pET=O~14X>t~IBFZy;fk&OEPT{r0HwnK6qd8^Jd;C)&jtVCSi
z@Ip(2c|0l*=SjH=PTdY|aSYWrMO=BSL3yPU)`r0!fyt%xK`_u+4$PUdY!wX*CnXFg
zmc3rk<0?SV><dkdL&_BYeTsyL%c4J<2It5#Jm`q#V)9#P%*XlIVh~HT9<uPu2aP-n
z%VPUeyWxpYPWt5x;0c)Y1mx;9p8urX0+k%rxjQ$+3ZVLZJBLKhRtP)3{}q$NOJYc*
z9ImhBBT<4Pojk$zNy2IR-g}64kRuW&f#xU?FrcgDRSYH}3iBJg9o#|clwv>Tn=+^x
z^81C;|GcXBqzLJ+G+-~X)P=ryl?KgNx4<v2`>@N6TBqNBX8>$C?m6<Uc|o2}fhBue
zCD*Dx&1y|>y3WEFjx8z&g6K?E2HN8_%q)2p&-xPY!hF@wV!&QNz>aPtPD0XnWy}hN
zM_{m-A6+L2n$`i6>d6ge56gG9X|uyotO9PC{UQsqIt=nC9}VddR^xU_kys(@#e$g4
zI+*CkO`qB_2*0>^LB;$Kw>lBGC<X}iSkFeRP()CUXuab0lWOyquS4@;hunWS@7gi*
zrJetV-)0Td!r~zNqo(4}TXp&e4PC9!(d{mf;uI#LL(yO_ez@#b5`L|+4FsMtSP$8`
zOLkrOd&>O3ueDNCX#YQ^zJa;Y?Rz@5ZQHh;Ofa!++qP|6lZhv`ZQHgv$$Q?a-@W%=
zbw0qUy`NgES9h=8MO4yuBC%mg(JLV<W~*jlsXL#Be_J1$3IFolUkH|M0e7$pc`!%?
zK_x=UpA@;W$tTzZ%3e*vImr?>x4nL}BX@`mqvMZ^4r5}U3V{j+llIQOl0QB%{30&m
zDu%UN(LSi%Rq<x~nHobZDSce<#vEqTA5brj*D8G4f&e_+86s1d&g1vAbL6?Z`m&qL
zcN>PoG-~Y89n7C!B9Ny(Go!f&rp{(Rum*&|fScwcc<{tcxfX>R5-6EutRh8s4|ZHO
zwPFQ@{`n^#P=g0MfNjG8=<Z*dS-KKM5p6;R>4H7gCoC$^I#1KFVSF!oYUXqH>0-xh
z8@!`I*oHvM?K4)V^N|vtF;nWM_cKRIdb3)?jf=GA)%NdgZU!wzWG=<H&RpPRCbul}
zV?*0XGtD*@aaF@aa3CyjijOEgM0i-`T+m6l(9)@jfEdYwIMGQTR0%;$Uxjcvw9!nP
zMV4a&%J?o({SFSXK`fI`OY8d;M0o?q&8KHTD`VY*q+c8dE?JZ~K3P;<F@$EN=6WH+
zZ<fS&@(kSYa!igacIouvzTvz<=X&(!L%e+U!b}_$R!0lyT;ok@EvA~E7*}10@)YF=
zcLdZ@9E~?}rT_B!)bRJR*!9b>MK44fbx+T(_A3$XYsbO<Pd)D|zf|f7<D>aNHAx_I
z<^`L$+dWzQ!Euj)?B{OhvK_@|-bPDEYOo|u3j1Av;dy>va%EMBwX`z9&@jX&9rjzy
z5fVNTifZjQi45=3#w4cW5Klym(#FIrI*HFoCe~F`)F+cWTj^kU^%4=lfnkw}p@d)=
z?|Km%G|dW1W%vw|zD_jfe>)2^NWBtt{+Q>LGY3+>6CH*?fY3N%mI0BTWGtjeGqG!6
z3@1i^`mH0qI!f^?-AFO4;5^;JP&xjbVr8BYRDJ$QfXkK6mFN&Adke?nzv*vmf!62=
zLMd5(zaaIQ99p%=uI24?N3@ntD-lBEdJilT&!(rf5(nOn_Z&NFH3ei`W#-eE=rGFO
zUl+F(9v;Hex27NcDxAvN^AGOn^Cj)`IwMpQ&JT9nbu0EHD?Un9`v4er+#;4uHUDLZ
zmL~lKE5Z0?SG|<;PO>Fyie-OIn^_U7#r0<qNbTgfXS3YRtR5@>((=V$EsJHfi*^Nz
zh7pITRBy2b8Y0Al@pa)0eZ@eFg$NO^a4Qm`oe#!vAXvBP`nf@pzxIb@ARr_Eu0R3P
zh7xatq}nfY=i+C)Q#}HEd<b~ZX16oS6!S<U7#<j5nT<}vYz^w;;20LWA4LvYwpWg8
z_Q}=u-Seeh!WQQXkyOX8e8S*;>cK(AXVf6DGG7NTlrN09;!%2})Z=0NXHw+TC0XYm
zJkgTAW%f6-2<6vj_jwSWfknhL2^io~-jCJcUbxTjG6VWz7@yJ3$f)FNB5&j-^Au$D
zx9@@6{ya`^5^aG2o<LTARS=p6149o^XvU>##wA;}-GAmXdq&NSLUGz#-wHA3D`hz<
zg-NwdwOaeNjA_k*g3H#zzcanPxU<}uy-3r$?3Xa*-g?L>qqK=%d?+LvxQV&V$5(N(
zIB({9eijs?f*+;V^+Crb>x!hw<=2H(2SRQz8A0R!D6;~%Nq54W!3F&smTX`GK@qGe
z1T82KLyz9DT$)r(7F{aXS_e$NJbH!0p>mB13=_qNV3rYZ!H+c91KA%423&X!Fm3x+
zmz7_r|5q$Hq((|%S5&lFmOgJ8?S59ddS$y|{N{YZSWN-lzn?YQu{T-Z&as5aG+X*%
ziXw6uqHr8ZqI?J1SV^?Tq9pxki{~`4^4;P!YBq?@Z&ti1ZqZtZ9V#|g*0b84zuMfR
z@!|P_dX0NOVum@9(&(v*TD6FJ!PzLdqi3}&ZiQ;_KtS^rJ7@<VhApqe#TKjpieB^+
z-DA}Ok5CvIYe3P>x)$6b@g?wL&PCf-9mZD;YQQ}*ThQiyZRWwkq2yLn8McJ`EyMr@
zxj@<toA`0EV64@_vLa${Q7^`%RZ}*(A+>2~^cVSEXAAJkEvucSk5`uLG-ZCK=4@MC
zjDna>A}h9IXnAU@=D$3P^ccD{N|%+C9B=f%a-03fh;#Y9Ue~RI9tBiaxJD3N>zG=h
z%=msqfG8|WYw+gq+HYYxo7|krkfa0Fws3YYfBAj;gO|RI6F)rx2hyluq8hC5zv#h3
z&7epse_(`M6i-5v9yG|-w@Mq(hpgajX1Yn(pVGCACwtHEoHhqDX@li<#|*<}nD8yZ
zcn08_?>lxZ>NjMe(4pv&bbq6GF-k7z|Mn<;uKc}sM)V1c!|ilDHan#J%Y}fxIV=l=
z@*Mid({!v!7ExA8C7BA@nG+=*j<p>=203jp7^N1Kjw52u*KJ3pZW*lUgrMQ>H*VxV
z)^GBk3Dh=g+8KY!FRvS8w|!?{hKpU-h|USLv>#Fuy*UzJI2=;xjAN@Sr@YBlyLbY*
zqn4a;t<rk{?Vays<_I(xN!=x%+*!Os*a#O6J%aW<vMHaDTc;3t?wBI&MMRS@c3q0T
zeQo_Y{Zm4QjDKJS+W7QTq;Wk$4IUV@gV9GaLYG4MWr!!`aLt?>hYyhKOUv!LyCoS;
z5YQ6&a%Q<e$=4a0kE7xVs&gwZjbx<%LD&A17k|fvPy0>xkkvPhK=5@;@JEA4&Fkd}
z_|^&35sj9P;{Ul><a#IkN^y6?$uyQeeg5w+g<v}Ym~jZ^Rdz=f?I8%Sn%$F6X_bRO
zfr6Y~klDuu6A>VR+22zwGa|}%d2gR1rGGi0fF}m8S&#4_M$xN3qN=IY7k%pooxmBX
zoDVWtP%dvF=xrF?>zi;59&m|2nBhh$?oplI;nbUH(nAkQU@IzQPoQ52837#LvpzL~
zM)a9cCQ_YD296%Xxx~wc|J9Jo9mUGqTL`67-Z9!w4AX@}XBGpdcN!W|@rE;Z4NkKV
zdX3r`)+wbNZ|TMCk>vp1LIU%17_*e0{@^`}mIPdHZ!@s^`Lro74Xs73|IWY*;*Y<H
znonuuR#oj@+9Ym1ksMILjtZb{<xj>F5vIE21!Lo#ybqa!H|f{5*tPXihy!t*(`D2C
z{Oq8RuVeG(=zJ9LfIXktCDi}>=hqIP>rvmICsX>4q7P~cw-!yqDr{ZBnp$`W4Oh_f
z1CB-9J^SS+ZVBw`j%6;^pnl<<?(SM|j-)7*7FCB!n1hrlzgeVjx^lY)&7&5BEYuyB
zPyIoxpqp@eYk5)hd}ZfLK$W_LgGJo@kl0ULKMr{a^z$cSG)V9*RkO+6KB2C~%8Ouu
zNs(wS$~8<I`b9W4{i!kMZ>@Rn!d=y;$`3;U_J0X6OCxto+&@U~^bNLe1$`faaGh@!
zq<JmpDhT1In_Y2(5t+Q|2kA`RJ*Eq1z70ov1d(j3$TM~;bbIuW<pJBE_CA0PfM7cV
zVE9;sUSkE_^<K$O9|+TWaybQFFVuY1p#es(YgQ)p7#eV$LKNwwaWyeeWBteamMilI
zeBwlZRNyeXYdS(-mhuBxd4A(Rl$DsIL+a&`z&{3otp~rVkaQn)XkvJ8WlzPwt9tA|
zzAU3-xbpEQDtsHh=op+e2rs3M)!?L6^2r$~lBhc<G`x>He$MkQp&D`{TJcGHL@cPE
z4<}fuD{|UMbYk54-4FSvJ?oKqsCv`jMJkm3Lx|lUivLzpIAxh`=Bhcrn`B7;(n*O`
zJK~BxndNxyW|^V)Pd7$%c?ZX9RBg0KYJ8<^HC{w^JQnbH@V>ovr*Z}*h-$x=oHZAm
z@n^LbxttQ<6|`<Uo*Hf>sft5zBWw^q?T|Qa6FX&AIBnDj0f?Gme7dS1eJm<}E`!_l
zhsv{QxsbQ`2FIIhXPT0<p8veTi9+YI7~I|=5B!Px94@j7FGCPk7e&>llW-0eh1ZDk
z@_rO(5#4#;_Gmq*9Pe;QvreqkVo~K)C_~^*dPEIg@H~Di{&i8I9Eq~TYW{23w{Fm^
z7<r9cku_!$?eq7RO*XL6f-u{&dd~a#ciNL?&@u$e2c)XiKf`nqC8cTCU|MY?s(YHC
zPyHKakNh|g<V~P*+dW&x^fhJJjPfVn2A{o&lf15g5?pOU@NiV#7eS{pA>Is-r2SXh
z&4d3GZ!+_H@5(mq3|j`iuIHoPM{le}k<{zxrg8VIbK$IY{j4{$3G|-;>OWpmn2}Tn
zEV_B<r~-};Us3IhsW>%1#Tp{@mP)<k6jQ)}A)X8@%>Ot{=@*v6ve<}~MUPd4e^iUX
zO!ZwvhtxynMRsnpAI$~c^l69UvhHUg_8H_|QHtQdhbq6d<jR_7D;U)k9>eTAkb?eD
zaL_UQ<Q;eMgd0U&`GidSwS_jU7cJ{)tNdnl`|R|Ujt)E#BEt?q0u2Ay21-`NQ$p4m
zWoqRxgSV?5rV)MZ`PXwGlkR6zz^AVRt(Fj9e&P?g?;307&;~CKh!Ajj66SOx%9{q=
zULd;rz7C|kZuqwNZu;2y963U6K|l~koi?eQHi?}!qRGk5*@LUF0rpt}jx^GXRQtWB
zBp+1V^FvuUI^;#8gJ0wSb~u2eDx%P;rJi#(cHL)9VR|y9;K7Aq2*`&;aRtF-tx|t5
zgcWKsdNHP)fjHrRx=@683~pbiK2yON88Xk59ifD@f<V+XNtfLwl-N;+vto&uPki=v
zKaaO6F4Jk}`pIT-e><L0v~YrR>@UpGoUD6DQrwFVDupmTsw6ayo@F`D0frXekB{-M
zs#2MzYR}H-AOA2;)Dm}q@_9`vx2?_b6*n^^h-nf;`r^=8j3lpqKCN2qSkMERMA_<1
zwQ%pkAl3QTVrJ!A)0M9J`?}E<1HX#-Il#9UqVNR<4CPi6YYM1M>9hxi9G*lsRMQB%
zC}M?Kq?1SPk`FtUQXJLv;E4M*v}-nsz+<a^*%!U0V&~BwdAMn9C~C=Oruk13f)J>*
zhL0F;dD?<7Nt{F+Q~N0k_8hojr(X0=6B93wp~J^OO`>z}Tf4$jk{#f}u}qi#WS`XI
z7n&;H%J}=}Q1ZK~II}U@Ji-|@L<h5AcBy*@j2HM5NMU6&0eNSZ<TiEz6wi;U=N0Zd
z<BTSv%H-5p)Olf9o(PgXxcQj0gIf%A2l$EkkS7^qC-B!=-FN4y-KXbqSGxcEF=>>%
zH!8)SHN)F4{k_cxy$+~;nI$<Wj~3Y75*`G5qjl=5yqS$U8Byx}YW&v1a;`dAZ^4o0
zR&qP#D4dZgTwy7EQ6e_L27?Yk0$q*(RXZ5jLm$PTa~2p+KV=b@fEq+>$EJW^hQp7X
z1;JSTM7RBje#%NS^AFYA+${a|WW(rDtT{NwLY}oGk@H*A?6l+O+>pVV`<yv54hKl$
z&C}ayaSoyW)z$~<gV4PD?iERmk=dVNssmtkvr>a9r_%u{nRQVNU6k}UR4P8agPs98
z%%Iry-Nr~ZLBc1fI5EH33coSj-&s4;sNj)s2TYJ-p%E*1a*}Jv%o*557TH`P$Qs5h
zhY-vuv?y)Ge3rL5hR+J6kN?`5<CSgf<{N9FMAg$`JC~occg)R#nDB166!|!-2JzU`
zmoh(gO(3}5pBN|POCTY9Z|76$8iF|r&+xqIg^7R(T{9&?f<i9iGHAPbRQ0$f)lY`q
z8(z7xH-MW%OpPSoJnLoL@dhJPDh;YWlB&fKllG|1^;=s@A`DGJ(ASfXCd;CH(+c7d
zX~y$(segMNtTBFfT>^V7H0@O&V1hVrr4|xQSE5lx<?OODo#7!naRuv!D`dOayuedf
zI)Z@ufS{yTWS#~L!0UItM)Y&R29?8}`$P~EBMu`Ty2N15g^<Lsh2>1F{CtiG<M)TR
z!D@cX9Cw}i3Qf`br{EmkMQCdls@gkB>ojpbcx^#k+!PLmEg;xghh{wMH$^xz$YgRQ
zL!#LIZNe02x&HVykh3Zy+ENrs>BS%d9OsuoF6BZH%8^EtaLOTi$%h;m!cv$FDhXB$
zMft-e5mnj^crQxbE1KRr+BNU-orwGgne=ZBIjhy-Ww!viJenM14$4OD|Iaq$o}|jI
zaHEt?ptPTMX<TwhVquY8e*B^*V7iZ+BOx7&s}H1y@RC)pw9JvMb|Y!&ZexK3Q}v8`
zmE~#A)Tc>Dh*n#^bok^~I8<N`0#^5<Bc~xw{ycocgRZ_I5v2&XP>V;U+}G$D#!L*X
z7xq`#N^%hIhp+QI<d~s(n*6f;??_52lq#DSU4wilcxQZ{ZxYWeBElcwV9b$KDPeBL
zuqX?zBK|(FxQ;A9R{M9{g@|7JuE6l$CBW}z1;}U=y^z$8;IX*?)Xqy)2Lu$Hs9jyu
z;j1<?+jr8MQx@phI3L?)@2>PMT0zQ158;aMs9PQ0Lcbp>0a_iEvjt5*8zXN;B<t;9
z3x}gcVuwYRAnHJeob={d^Ga#HE)+4!-Jkz_z@;C4xqG_7#`cKt?hIMff7r-k{us=I
z4Y7L&ne)zz>_8VvW`JROp<rH+$3Q<iF*0>YoT~PoFv1%ws4_-%BIm4Afeym*8^g}5
zqpizqp{Bvgsd%eK{~pJGL)c`>(IH72<jo)rQWFu0*sJg3W=c@bX=hY{**UkZv%ai>
z`M(mMk`yv|<#Y6YfVf@wH0Q^2i{=^;iGp4y>5jJ+aBI-+pu2^O;U#BJO=QQG``cK1
z;Kq>NgvpB7&JkCwJ$GCWBf35%9Wz3vx7lb;2uDs8vDPW=2At4?#{efQYac=0Hr>8k
z$Lk`)SSEj*sjJ-dwI55%N#rF#`Mp=(xcAlMUx9Kb@4QKGdg28^mZqb??3wHKpY9VU
zuIfFi&WcJ+k&xpt+q4J>DDARISuTKmBHBe;3QskIgM&PQ+XNe<(yV3*{44xfFY}_E
z2oQ%*2%1-5QVWXP`qRd+d@d)6DNHXqwBup5kK4XKA5?7582K)HE{{~Owzq9aHr4RW
z-IL6I6C_aWiD+S2qw~D@h*MIF=qNhf-OM(80wE5GwELF*qHqHcF~D~k(DZ}Oj!_!t
zgG>?;aNO<0>AEFQq%{#gz{4pZ)Wd-6rJ4U71Hm!IDA?_+vs*hvM1I{gNlrKk=^$hw
zkfgnGuZ=PSVgV6O4#?Y3Z}&03TZqr>zD+65;nql=wW5wwpoBn0&VJ64TYy=#WKwB@
z2w*k>N$zFzMSk>48#l;%t!Va_1fwtX6?*Ru@;jUpaK*Ni1h666&dlDA>6kbcvGf6)
zf_Vu2^TMZqB^wlt`ys+)!B_L$u^au^Nvq~>tAi!`r7To^vrXWQD&?ywZ<v|plyT2U
zH_lNkg$0jK0P_;NzPhou8*w9bP!|D*B40$DL(&c<R_yCNExHr99sN_IWCq6Y;Db@;
z%@!3CL%M7(91Kz(8a~hhmC^+$A>-&iNn7(*(`dc`c@5|kVwz!aJGr0)X;>13v|mIy
zbXq-|W)L?XTmgx4C}F4}wA?0`(@@Fo_);GG2j|a!b($oQh%H@<Wz7utlJT>gYfi%I
z8F7Ja<4x4?93k<MR9fY|vuk;$40OTN3XvL*l+&}1-NV>$-uO~@4afGcx+|qx)BX$C
zu}>5h`A5wlT~y_!Hx!(ekOzmbFC_he{HnG%v-B99QvvM^r&U^XJPs|#rJu>CNCC!V
zJo%vVhx_EaH-(ppsN7IB2Kjh^B|Tk_*4O0kIPSY(|Iw#1>u*I*uN3d^RF3aRkpVZQ
z&|gK_9}CQ_OT{rN-==JAO$SucWzj)g3~<Q|2Hyj<!Z)E7lTtIDASE5W)pm+2-X_7T
zH@&=@A*<5ozbA}ssNp%TKy$;RVxalcO0z2GBXL^MPJt4Pr$GtHMRV!@6uuo9p+uBs
zrrm9#?^~MMgeBQy7eDX~D$Pg;cp}%Rv=5`#TN2rf_x%E}`Tyy*=_Rt_+7C7RNf|gd
zd{9!L-cEO9D%j^AfEXQ$;5htZ;Ux_(m2b9^%>}7W(x<sXfMKWMZ!*Tgvo}$W1`#AL
zh*XI&^mx`OpQeh)v%I7OS0BJi>Gf>zG(Dq=vs+IL;0G2&Xv>2g(!&>c+#M-dHd12C
z@C0)q<qcQ4+yE;r_b2O&{@ISlCw7uIoej^%wRezPL`$8AjH<Ro{0Exz*aO!LOP+n(
z4e3+%C1i+a?1xc8sz`&82Ou<`0xsEsofuTLW;L_6-E~a$%WeJ){l((jvve(e{z95A
zR!}SmY|5!MyIyHQ%v!CVn%TjqpHlDxzbVr!BmEbdV}vqj1CAAj&)~dlAkt&sxcCr5
zJ3;&q_gMRXtyq{mzjXhHCEi9^O$Wa*4K^Igz9hf#Qh=XNNFc?7iu3D^5t0jW*eQ6$
z**V$v3r4~3(*3jv9h){{BBFq+LJ44J!Pcp~y3r8n2SIt-WhJ=1k;oF-sBOl@y1Sub
z5Bg`7`v{-<unX&EZPS<zq?X{26d%Kt%hiQE1KOx!K$s8EKDm?#@L!Mjf?mGZiCC(S
z%AA+VLcAaK$U09cy;NIL4^!X(DqSOSRtqa(JJz|Ah6z<vXx|NVCSKD8UEvOn<99m#
z^(Xo#kldVSPQG_kFsEsjyI-YFgPppcfk6bS4bG(TP>!G`nJG6S7!BK@LNMmwi_|Nz
zfNoxLR6aFHn2F_l+T^=6(=M|Z8_WdyExyEb<S)g>`n8?c`F|G~xKQSba~3&-bexN>
z*S=%Mz`~t{SkgUBKV|oVI+QZUDIjxN5#`GQ6Wn{UTlaD?!)(*_^u^{WZ!g!-D1X)&
zvo-MIYwU**tH7}qfJpM~LZRS+%RMq6z^nJtA4X;Fsj~FWjqE)x^PTfBE3laLmfzzg
zq`>qud^PP?=YNEiv1`4nwe?nuYzULE?Qjtmld(XQMB~h?X}Pp~#3uN-YUaKN62HxZ
zLq|X6Fg|M$J!g=1^8CnfDA>$yE4~Rd_S}^%;}b4*OLf2$2qp205MS}&SRz{^e>#&P
zo4ZZnaus$>0YrHb4uRAC@l3+rRLI6Ks$7yUc+eX*J9hSG3a4!lTI@W{TFPVn=+OJO
zN}+T`<e`(@0M9SG<M@5qOQ8{GP(9X6f4&JnfSSK)ai3D;dpyM#oM!WzNvfYWqLeE1
zmR|y~+|4P~uZSEjKNJ2iSEcbN8F>4N;9D|)#CIQxs?XucejJ6pr@BBG-V?M!SKf$w
zhIN2-XKWJuifgb@-Xj|`VU6!nbAIU1@$FG*r<|QFDIJrvYNONy(Tq{MmUz?Omy!5+
z(z@GEf-hO9vYiK;;FcSS!MJfBf6V#4`jp#Ab<X_MOWs&k7w1erka<Ku==7kKOkFaI
zNTZy6LgbD6I!05u6@Q?NuTjMAOBLaKG)I)Ix9MW$kV}g(yi&6<cxmr>_OE?kWnWYN
zk-%c(UN3m&o0SF^&#_N(@AkyTMKWqad@XWL|F8SlHlud@x@|buoN?Z)cYO>h6_)_6
zXQOY1Beh58fb?}~u~}Sz*ix8C=#3QG6lHX<&=Vo)3_bMKN>0VO=Ba?0UlM^2BKI!X
z^f*@{41({&NYMe}XG>l!$5#S8h(xu7o5lFlSB>S68KyO7bCZZCrV+9)CK7$;okb#n
zGm_S02B}LPam@CCCyB2Gf*x<S+hTI&y4C^hY;6sBx+WQkXc>qa#n_A^wiaB(vAiOL
z=`0(iXEt?h)83_fR-wbt0x(?7PDF$7<NV>fs~*e8hwgu$fToz@>FkW{-!m`s?|5;3
zn9N|?$BVcb(YzDV8-A>o_bCX_;KA#M5CFmxAPY94zSnZ^Tg$K+hDKL}TR_)2hEeyy
zY4`}T4~TzP47nYF3Y1`mOXq=0Tn7U%y&GAtYq(AIOSUA<r+UNYAz*DrYGO~aY(x2P
zI(-}CbZAuEsgUwz0x*BiU$`S*e1fJ`v76Lwc!hqe?Npb<syB5=H{ot*Kh?j*Ci#S6
zveSVG_SG!RX)LasMCzIs_)It1b96tCEZ_8I7S*aLBdO}ZY@VZ&brC1Bh~jaAgT3uh
ziL$WbO`1;CrWEojrd}1~gNrCXVENyGFH-G?I~Hb^?UtCD;6wz#xHk$f&L4WYW@rAL
zV(9vZJcMSW+o#>KwMMz{zn?M0-ZdyJB0xYF_<a<3=;H7in}ZykWCigXjY#oPi|V-#
zI@1@Uc&{jzGIG2^G#!~l|2w$2F0?oUO7ljvEMhL{2C8zvK)Y&Nsga?1`0Da0YyB6y
z&{%>gO@RwI6_+tEIeiNC&2oFsqHi-3t}{4xiNaL)gSjdw=wN6+EGu)RadcP;&@g`8
z&4T{Oh)Ijiop2kl^$^8Za|8M%ISuduwnC+!viF9cMK^5Pd}U;CD+^xgq4RsZq#siR
zM(qqbuL7#X<vmv_GaVwLFpY|T`+Zv-5SVDF1_P>6DthM5JElAvg|d8G40Db#P0v_O
zzK@$}2{A-TU@?!@?0_g5cv!LJ`GtWWQ8>xiQUyv)gof)mH^2+7@IRX5YuTvrhn$aX
zG|4Z(aTRLr3dMEO70}Kg)F6p}@;mUM<MHGPSg5I#>P>`PJBMyZ&n}`OQF_rAV58k;
zx&T6c(RE=K#BV}~DY<Y&#}TL{C6y8a6h;QfEJpRNt*lqq)v6Mws>(E)i{zY$^>&Ym
zo8c1Lr%;YZRwn1Yl8jd){0MMgS9xMxXu;q4s`A-lu$w$w$rTvi$@r`B2Q9HE_eOlL
zYUS+z;?;dvRiD)-?ND{7!)H^a5xs<(YgQUs^Oo@TB>s~AqZ0xna1iuc2ciu`&YMN<
zv|DKPUig96|GFzai5nK_>!$*GsqA{ewaMGS(Ph(e5HHh9me+tM1$zy2=`NA&d`K$<
z$LZwb#5L5V5LeVivB%I;q6R6KdN2mTZ6xw0crjN<#O@<i?Je3UI>5sDYiIM)-ua)J
zl+;rhk+fJ5>$_Yye&e&ki+?$;7#1g?_-&Z7o{KfMLjq`ry&p7WQ60NN^IO2Iab8b4
zL6Jtx2%ZIF(StRtDGA{XHjoNv;uDojvS|jXlhk{>B37J2R&!I^71h<p&d>L$;+%-k
zyd*Fb0EtFQ*Blyl-`bS=0+VR!rx{L+diq{4%}&6q6x<CNWuKkzGk&%$oO)8@J~uff
zO>;c`RPVMZ4}MZ|EQ*CfSzz6ae=bV$merg0(ML53ZgaixE?u0x?p}!x`9^fN+s<B6
zz8y_9h^Y?I$PiZjhpZUpmU(1uSy3U$jW6dNL0;md>z{&T*1?5%1?i9i`Cux)SyKt&
zB#cQ|2{e`Bc{Gt(!dThziry`L5^5T;%4&bGHk=2h*?Yxzlo&QNk6qfO2qzWiJ3OQ|
zK;On~X8-Wk`KP!Y-cYHYLmMx9cO@<yFsx<;+rpcA=aG|~-TbXM=A7OlG(j*l6+yF%
z7m+uC%S7ILdN<m8dh<wud{*ofK&0R9GuwEc+XZxeG?On`No1rHOX*LPV)Fbwr3;|5
z(zs?XIr7>p4o-!_Qvj>3KFPKVBadI>C?ri3Cr^Yi(ksLd%p$nVnAaf5rt3)@hJazP
zVyOO;o@^>m#;08;E<6Bu?S5TfxZMA|{%YeFsaq648RMHsO=;2;7yhlYvE50F!?b@u
zRLbf<6bDPV-<lEpXF>&7<YwFXYN6Ngymj_>bh#Km%V8vr(Nex{j#pl|My#N);K1R6
zC_>n{9W3&u9U1Gz84Pqq3~xLP&%z8R?>KW<F^89jLlN>Ck<*s;45yX(b9(DPKyqy7
z$1bU7FWpQlF1}sx5@1E0u<0EWzwnvOijbKr-HfbL`#9*3&EeF=ZTGTboF9XjP&{9J
zRC3N7`d-l`kM4aolo*QMf`xUA4k^^(C)Ra?5A<sUOsrxDaI;yi4Zu@Cqn1qYVS?c1
zo=J;Axisa(gh4^tgY1KSu3Bh`me=w#iyO>{n-*hAPSzyhb!24itj+P=J#?i&K_2*H
z=db5!p0z6le(L&TQ+ln6((y`?4OMBQoPKr#k}R+>$tRo^)qxSh`1vK9Tn4t{Q?x(*
z7eP)Ce?lCd9RxD@y1HVR&**A=APHh@S(1=2AQ+}=8{hC0-lG$zkd`mZ`Z%DX;3bRA
z%Kmw!<-a2lA6G%*L2%so82h3Am6IQxr(}%(35U;5eF~bcI7y!wn|CI%<ICix=hL*3
z4h0w~x-gXphjdcX&P3CxPr8t{eF#E_l?$Df(TEUOlnB1g_!pNO(yI+=wU5@5Br}a%
zE=m2x?a!95`{xfK)(~2YcC~h+v9g#*GsaHFXY-DO4lH*^0k8>9+LG-fW6D3L+NnB;
z#c8nkceSE5=Zz5V=d7+y$t2N%5tETT6gm<;k-@712E=d71Auo?IJpY1{3o&~q|NZ0
zgDM~Ai6|T=&BC5XY*7WzMFEgOuTF%HENhkk)Ghc?s7o<D$(=o4mKS0U7m`d`SrDlu
zk<I{mwxGpwYw()>=D%>dRA0*J_&xb)=G$I`gDVMqKl+PHD7aj*an>RJHQqn3{n6w~
zfY!q7*r=0Xl`oTu2TqlR>a`k!7>`mNt4!8noNOMr=`T^GC8hRO`lTtYOwuD6!5?Y7
zk_Q*Vw@CBG9}{pu*cO@Vhjd6!N8iU`<(%2x^Uvod+NC&l<OA-+UaE~<n?u*UA_URn
zofr)AIZJ^x5$m2L`%whWgX-nQ+ziXzOQ*+#9oNCiacVs*`{Ao_#r1$Z<<z#7%zG$T
zf@0Kp11gjue&pLqs6?xTh-Fhosy>7T?!thd$PlUv_H9H~7m|$H|GDaw#!K~-9hbjo
z2>&h$qF&BO%<YXlZze(;-3#>(?WkV~Y&3j(6>iwbpmDJ(6T<*BWu@Cam{6&?MKIn^
ziE-8+f36t2PK|5VW{)-HQDE}CHPJkWm2L2eT&Z<+`sgeXw5n*YqrayFa^^kMl1>FB
zXw>V)WY?i9>!)F#-TvB=L9RX}mWR-4U^iH-oEgPydIZdy80t8*y>t`$BUT3&YpoAE
zGICGmP$$eEf(?9z6!W2%&=NolLnP`97qjdJ@vh9CAl;?hgGxl)b`Y_ty2*tsjQ`ZA
zw9JGpa`*d+0$9Z<|F-~Gsz$Sv6h_D3PPg;|D4MY(Pm1vunDF*So<w)c`n)7H?%4GU
zT^D$TD<EvDX8GbCURBhio3u0WF5u4gGHB~Ma*)$eKFc7*2co=i&FptAs`duX4@|bu
zaGaCqx#iHb3hd*|yHQv?>uhPU$Fs2*beTBfXCx4eL<FwSE0*C(dD%Fme{jiED|ApA
zc!pSxt{7b$9`MU#i;j$<zz<;9xKEha=(S%oE&fQAk5OeloTl1w6S3fu@y7|o%&t_8
zXxzm`_>Ad`gS_rfZuBB9E#8WjTyF+Z2xV2kh-?A^EBf|S91a;Ipfn0_@}dy>#s@50
zW!DEp6KLIXeUHTb8+(5J>o=1rT-_>-3+6}2^?rLV9^!sYME#x>aV6;Qr;;w^%4D^W
z(Rc$8p9EaDbKZ%3gy4UkBB;WCMFg2DGwp=ZKA7W726E$(KNKq#8Sh3aMcV;-hK(t0
zM!qUkB7~E8d1e1Pr@lu(nz`Jx=mDqclsIr`1|1r!NER@HS;3jC@olH<odYak><x8n
zqS=Hq)9|mUWYz@*)GL@k_%}GbV@Q1SVt4erwOZxp9V;ewoUawTJkzOiSVg3&C1>lc
z5&5z<gU^ByxI8L0i#cK>xqR@RfdqzjS#+KmwB@d?*LOngyWe)9;ZbbpDq@bl1eF{Y
zpLSsNsbN3+Ui(fhN`mi|OZFaj_++lN5>V@k`T@|BV->cAdY5Pk)V=o$%>n9Mx6KiX
zKNL;GS$OffkshEY3jB}Wr?#ChXlrHZp2qyfPlfMi5n_{gXS)ATGH1K1l#^6m>Ie&$
z+C8}VX3%{y`>XdO^tv&08+I1NunRM4tLy-M5_HK9rpaA|0;bEIq$dYvNI0;(&t_re
zS?7oL+qeRidp|m{V}g1)bR)?xvXZB$)^++r+;9H;mYsXy=&73)4d44x)5sadC~F{B
zN1b3mK=QG~QV6@XJcq7x``G$|9B0pp(Tn+&D5Hx&9>?p}W@Y~0KevE=*tTaXD*P=J
zWRJtZ623oLYD!^lNVJ(12^#)s7MN2K=cTj@;1&dCq>Fd&RDRPWPR8XcY#FpfxbRs}
zA0z$}_HWD9E_JhYO<iP@Wlu4X<0p^MgP@AKdb+xxShv>8rZD$fE}{Bo(EYEVrh<P@
zCO>vP{LWAj%!}0Grv=76;Yf1YDcHushpHu8e}dSrkvhm>3E=4E*q=eU36C-faqS@(
zK~(f{_SI+`ywKNOP^`M4+Jt+7+6;x_i`fVBYXlp5L*cg8A>Ko56O4iwhIc>tRVJ_L
z&;D1wC23U9C93bdC~unB>PS(=4qguoB|a(}zM0@g2s3Ax*yQ3=2!_F57Z83Nh@?HX
zQIlYjZF>H>7+sPN+_2F#-|HO_0Ym3Mj`%uQe1L{yjqt)k{L3U$KO2uFZY(|$B@o!0
z&a?iDv#!Has*IP4O{8`Ism;Q-ih(s`dLcw!Ik6vvMnQNT+q!&A<Ydg^0@0OZK2F83
zZGmlXDbvDorJHuBm*~YZ{1-j%vcty+J!$Q;53l(=XHT`1sP)9K!O8F)-67A<pnIKP
zdG}-!Gv1RFkOs#wxu?5(={@pf>d^UR1NAo~UkIz-=fX2h`RNxO{c5$5-q2V~BwkB(
zJ@;9BNK4XSA*pX!2p&05eDx1xhpj?q7^oouM@k|xLJap@<bc%#_QlFF7Y8P#4NV{r
zH+vY4+RE|x`ik*=@Yf(@D;ua0#E;LeeW*&}YY?NOJ?$WEryZ$OLZ#KGBQ9`w{yO^K
zh{p6c<0s?p1Tx6PSj5kwSgr8SB3<MQ{mmCdrx2??pf>Fg%le?WHNjIWeH0qb;J@2o
zmUSVu?E>gm68p#LGuWC%K6_6{4g>I<a4*9;6M+%JbZ#y0f359I{dbwd1(jD^gMWK5
z<?I8<v5DxwL+&}F(9W>{!BQ~{9+0HUPN=;t1x!VmL>#zcKDP(2*vNXiCor`$$%REH
zK4?kD$*ga}gfgAM%Bd6mp?_or`MQhc^tA`lo}*M{mO(H&TRkJHiPR?(A?aDfJ6a*Y
zuN^P*(AuZO)?FdIsMK6=vTC6P=tPT`p^b*Y`t0eHc9?^9JPIFNhyfdA#H-drkrLtE
zm-lAV8C8g!<^i+bqlJkXp(47!A|)5WRmJoU3;_QEr@{a;@OfW~M;)|B{PDt(3|374
z%UVuW{$j{}qhrS5;n%g@`^e!j1OLi=9Apv9HiNll#keREz54*+&vNPhs>YBj!WJn=
zL+)KH*Bh}rPvjhTDM7rB-aDw*2>5DZ&t)^gvCj<RoG-J;IYi|LA*gON=KV`M2PSZF
zB!r~mmb-~PssTTnqr%7?U)Z%H-`39XRo~B=f+8R=?sOab;#IIHF(fIX7s5}i`{=UW
zmte-YuMX`|@Osp9_&RtJ;00@<QyL9#^xxqd69z}7b^9zD2rcTpzp4OPn)_L)w^S6d
zL{R9h{EO^Jf<)drptxs+L_SmWmIm&l;5%giO)L9<E*-w7`GQPeN0X_>9*DA_t6NG$
zO?>6|YhEI(ufwx0Bf^ia@>!gH*1^1C-&Pa?ctdxxegbZy_wfPt4FTJA^UzuN4r(vM
zBB4sO;#QR?A=|XFev~XzX?(`dzS=cmj7y8TEw!q8_$=tg4=zGt&+IMpF~l|~M2ZOj
ze$uM$SOCk7lbrKu5C_+RjtrvaNw*tA{~UqtE)GSQRg1&;EQbPJX`h0ts=o?uj->wE
z^LJ;Q4k-;1#py7!9iH`jz%k^VNY0yAwo6sAq7AyV`?o_J_nNaQ)t491fp`!1N8Nzu
zx2^*fJRZ->#vfnK3x!C46X@Q-nbWs7LZh;*OVyqimu7#^vCv(=&XMG{I0Ou;1)mZc
z7R5^c%Xo_4A;(PamURJRC=+R#9KB#NDtmPInrLQy(Y|0NhGZM)89USfYgMum$dB#g
zcHo0!60{FX<vBSXZUpVH4x~m<NNYR6mDX={2l|F=@ZFdYgl1ECWi2%Ry7#2$1CDyv
ztnc-`V~lsieC%ZZ+XA!um;(-R^ii}6X4z1Gu$|U`U1bu5mLW(yy*KHH0XCgb7ZApN
zmMIofnqh?o{6wo6I56TUuEPtAh9|yFXWS?lH{0&gExUSo0R5gi5Br7HvwFk7lZ7(f
z5$)RhOtk~azzc<j6Ru59oKKkcts8CIj|6?TXL37YJ>h+W!H&c3`ed56z{|3BPWX_L
z;J@Zh;W50sYp!Xt&H`ak;9R%N+rl*9m|%*bf;t*vvSBbeV*h{MUmjDd?yf#G`N@@T
zK3?EiUx0l-fEq^1HebBxfbeILzw8foU>VsHK6SjCaHDtZkaisZXXSe=G9cL;Ujn-O
zAS9r4KIgU_vitn?PN7j*$bn!SEjD~+dhlwpbB*jOwxr!~lrNy3HA5qC<5d&jpWhPE
zkr{nJ@}&!<cQ>2}%F~FnB|&T+gxeBN)t3Le>bte(6ukVyRsWXl!x))wd=;l9F+2**
zB?Kyy7dCIzljWIC4wY9PN#dIB<1RSUlZpr>b;o6)#wzOa6MDqP0m%JQ{_}vmXQb;;
zc^8QUjdfc%%g-U96>Sv}`@6<H;i9*rPi~F4F7|WVejgWH(PC$;8i*s{_!Y<NTt7Vj
zk#i@Z7*6;VW+T!(AP|x-BpI*yz+%X(Gy0li<?Jt{K4ESUW5*W_NjUpp6%aO12fiAL
zJ6K2{ZL0$^T{jelNYN|CWEar!z&)n{27}O_49E+^U|0i&&{**FUL~DKm|K?^k_qPg
zf@tIUgtY^XRV1&q7ER8^p16OpWS$aow%Z@u@7uOo!nn@Rz5GwJ+Twej$@7ca@le;_
z5Z{x4w->hgIdnyBdZ0hxT6VMH90`iF#b}_uj`upBZa6Qy;M%CYrX|IITW<TN!U;vk
z5lNQ@h1s~#-==*+Bm2Fnv<%0q+U3|b()EY}b?#&ovWvx4U~A8z2c>>R?pT1~N{x`}
z^D9ka;S(9hh^^rpyLs7uOI`p(4+mJA2{7W!hHN9ju<)(dN@qgPguzf<F08I(mI1xX
z_w8uZL$uw&4c%92SKf^-(R?3i0{mtjUL`=Lga0&a*T?*3a<jbg)<lXc>&F0c6?<I^
zbX_w0M2<7KplO<04pf}#n*!1<BMC#PH-i=oWtq@tKqG9w#$k{HNThHA0H=Uj&2pm3
zw?+!q^0It@AH>@r#*to@5yH@25|t;IfL_9^dgzvcSS%;*-%IpEm%uwBBVEKRXvW8W
zS?Or}fO*XWimxGEA(KX^3m8DcJ(CO8aUiW(^9W5EK=<J#$qR`dJ!R}86GGGaEX6`R
z7BzdtILoo`wP}Sd1i?HOcH%-b>({L~>4R&9rR@QBcKB#(1+vEQiH1!_vY{(55y8Wc
zHUthH>BlutT~*CLuFd=_NB0j)eE%rz$!K{R<z)Z8`i7GMNyr=#ehYICk5an}qtl3j
znFg3Gs74j<M*|3vh~{fa6o25g>O><F3m(eVk%QYvPoHsn#Y2u0=TM?loC?6Mv0M#?
z4J-;HO^uffJlv^|R(ZsvoNW4acU6l-YDN_a?JG*ytid{lA|Ao4I7{i+%=Amgu&wt0
z9xY^+ABJna;McJb#50YJTUByf=wR%5_?w|^@Ph)zpNNnh49FrC5M=iUUeLzQaHf3a
zD15fs<Olt<L>6PqQQ0Nxh73W-m@{pYg>Z%?^71y2FlS%b%a?s`*@Is3i_}wgRzB8&
z;_x$I;rRw?j45*=m6`N*V#gK7NyjCN$}N-nl6yk{HpD!T>%<a~u2-0a_=XA^8WI{n
ze1RT@=yLJZU+_#RmKfB9df+olU6KJu;Jzvs>p_8_49?b)&S3tji{q<4*!i%+!_g3p
zOTq&Fq176N6r@rUn7UY6hoWAz2=0VS90%S{Py%F6m(DDhpgcNZnB9$({Y0LgXsRD&
zX-FUu5t;#Zj11K4!F0iwfglWWzG8s0ITXPB(D|G7*6n@8;NFuddJ%Q9fZlwsAMn;a
zxC!RLh>ZyT;ZaR+=^m$#)+5IYuSVAYT%w26$?1Q$nmadkt0V(gW)a<h%Ute7CA@^!
zbjA3>*)-a)1S#kiE|u)}oRq?jcR%x4IsHF<Zc0T~GDT|NjAp<+c&@3r1f3(|NZ2e2
zA5<z@MQTZz6yfUG?aUcZo>Wl4kq>K6$=~8s-e}=0`<`Tm28=yal3Q7HG(U4aSZBpZ
z2148dEq2FVyU<_!*Y+Ot%SwZED_8xteiGPlBAuX{MbfWURF9+rx;jb6p=0VPPZEN=
zoSVPxAObVWoZgSF*;$V2E^rQA4>m!Xj-k&5r50)ebXxC>5A4Vwm8wMT@IDR}%k1RB
zvMgrO`)i~}<}My|PkJ5&6drjLwOqgF<>IL|DEfZQBv$zlE)iA@k<(5XGAP%CupGDK
zK*W~Hs&E9u)i73gwYlHHPlwKJV|So#$Y6$yeZ$slzXN~`*cDNfd$FNr2N}Dd(h^Rf
zf?&ubg#2z+!|Ohi;NVWh_GNo3VSi}OgUFd_$SdKD`UaD+?m`S+)g`>5-d;g%`y8^w
z84;y}+({vwfDQ+MXONp2I%P=A2Bn$%!Iv52N<;*mqiq76tr*bQ%C5_X#@?l#BtT%A
zK#opEV{z03h0aytYd<o-!2Wlqm5KMMrG*o;op;4E;!NP*db9CR-%=-uSKx0Wyy2fV
z&;zJOBS&v+4s98D{Q{zI93X}V6dJzo;d-cusot(-v&M0kWkNq#VwI;@N={%1pF-4!
zS@qA3=f#}0!DVJzT2d3F3!_P9JY;G+%kI_DG6-RC_~$~>xKt@fhuX0HibI|QMLrCv
zGMc#Rzs5GdR(kI{M$>GKDulW=t!w9R*`)g^EgUtQWvVPpe87EQ$>Y1C*4pW`8TOe)
zm#=s<9=`k`Z8|huW$PAOU9lJD>W$F7qwR*7k(b(u!w!@ni~nR!Cnp>fO`y%$=P>bi
zj&t_VO@JhlH6@iuBo|_^wF@heAB}?VL0+D($#+VGOx3wV`Qj~x*I|I-;_lYvrPM0*
zlFEnC-aAC5!eP~+CTaNJgVm#L_@dzdY(O?J)@ci9))cV=!8D;UXwNuQK#2;lWfGYr
zzYVydA4LYXXCEv$SRM57A|>HTUv=L!-~on^MNsYmLG1=RU}BPehmj>a6mshUJ8+yL
z^RWO?(aDSH!nhrb)Gyqk)*pi(W#D5&-9ahOPp>rQ@%-W74L%v)eqrt?e)m6*(%1s=
zln;Ni-_P%8$zX=U{Bxg}7qAs`lzU15W)dXpVbl?X^hP+Dg=ieJ&;Qz%#&iBc7sFWy
z?y=o=PYqCJLssdGYowkX$Suqk5!43nF{)h9WK%Rdb~q!~_YS2|sE-dyH|HBt_mYXz
z=y!m3hqtt#0G`04T#e8bhzup4r3p+*<RUjl8w*2UhZk=&iP_Q>cyt=E|H{e?Qo83r
zrR3%yoPb7|g?e=ofqm3;<u(mFT1=?!o#~v=c)UW<kiEaFlO|EKJX5W^$7SLtX?*)+
zRazM{9am%GKIp$T14vz4=B)!J@{}%fc6B*+fkq??Vm<Z!yRp~y{(@{j!lHb+u1o|G
ztS$$+X~tFHR**z&%CHffnnC4kgs2r-5z~|WhKVCn$+)B1aO!F(=3wp%XMKiD2TzUV
z6FPDm`anL7^W7EWgeS?nWmc0~5j6Py-V^eLE$j|`-g_Hvi!Kc_rtI(sHv;U%7P!qa
zYScU!vqCS*MHUoZfw!B8xO2b<3jKhG0YAfpfLkVPjOoBR^FAq!fbdZa!XPx}z(s@5
zI_AVYuEazLpP^bL%K{cp<5yj|F1TZ{^0($o>+6>qw*Q5JN<(ATcc$CE%G4fqHmCQd
z*rOBfPS%>rgtIR&O%8b7cjOJDc|(=|oFVp)NHI6a$bT8D9l#){+IDT8^=+0aDDv*M
zgON|2gO^{XDed;^NmNqyPsw~^LkXpd1mr$6=ot;2yUjFQ)3u?U*vim-7RCpkYWC0a
z?zQ)b2t!R<7iO{NesKAm9i9L(d%KGVpG6guPI}pAKK-A&L1lg!d488^a+D7w4WJ-!
z(^-CJuaTFV8m{SbBsnJ)kdPP<QIb|bB~5ZiLm3H)2{B!;n&;2l=Ixcw41QL1Tvu0~
zW$Mn3ILwLW3pigtK6W{mmsbHE68`m3<JqvVASmad9KyjM+=8YFcy%{C(;h|8fOq~F
z_Ewpa8X@^;dL$voq~~Pf>mgTRhIij!MY0FC{qwDL9=%<MX8*dUcE#GR6rrV|O1=|p
zi7`BRo_-j5amzevGy}i=XUEmn*UcDsYAts(DHApL8Pxjnn5KT4>@Xw7o&cOjj8tzV
zi^1j|NhW9{l~Lc1XAl@TLxbm_UMGYXk8Uxj2PFC3Uod3wNQgw?kv<gnY4TD=1i&$*
z0>{d;*{7*ob5Ypx>jP|&NC`q2VD^abP>|U^LLL56>n>|tiXdT%C{i(A%i3?hTV%S`
zKvV(_{%*^>Lh<k&&~M$)hkNz%;_zO+q+PwFjW<e+8S|N@Tmr>9sG;K#-o^=o?E}T%
zc?hDk#PFZzc0Y7YUWaCFG+x_lZ$cmoM{S5YNu)Pp8`8Q{3i|p0$_-+fw3HyiklOf-
z#~KT=<v{Rr-{FbvjR8osyu6bhr6R0H;z;L${a>aQqulZt7u#7pXqsaf+f4FCYAXnI
zpOz}3Dw)5u>rD*7)$6feEY|!kQxVck`xn-7yqVbK5<Ql~ue3!YdI#9etEYl9qXg)w
z%mu31&9<`qd^F4FN%mmmR8|zsiwfUV^9I==CM?||y5-7dq)6W4k-xD`wX7=B1a~yr
ztERSZX!RZ#e1<x}9-j5l(k?cQS@b9r1E*|yh@7vOlD>j!bypd=V7K(3>1}W!Dc~@n
zi@3e#ytf;BVz*w+8lA7%l;1Vej+{PeS%xn+M@S3AV{vt;T7$F<;Jg)3fD`kK*?JFG
z2&X(Jw(*>(4@lDX-C$T4O*0!;P~$P)`Y|MPU8uvkw04<LpvWB9k9^F}j`%iL`vPGa
zOTz_}S&~7p45ErdAP3F!f-jF?8}PS0W&IrH@y*AkS(%yV?_|n&W57I^7lgk9ki*rL
z7$Fbugf|M}o#}Yl<h`bO)%L-F$$(h-uIM3bZev=&;_~m}QW6a4@J8dK@*Xkxj_5;L
zPy|z?>wt45`!yT7#JbV>_kf7QLokj|l2yiF>?KKW6VQ=<aCZ{i$*<q(X<5~~QCxC-
zx6s)IM-UBN5p#?FknL3EqC9SnS4QxzBHJaTB=`CqyaC=hf_22Y-2e*G8=uO;uC@Oh
zsWcyY5THVw6pj+UE14VzRm$u))kq(vQ}C2)I3gg%5!%Q(1no@2B}c6FYwZVWx_1di
zmfX5#+KFuXg%+|z7lv0f!EgX}-kdcF20!4z^u(}@?K6)V&NGG2tnc3~7VFEa!p=>F
zCl_617Hz1%6=6FjwKNpjSzAV+=&On-8bmZhz52moPy<lGds08XsW1JZKW`$sk>Xvb
zSCk~Jf{)MA1=jD+@`t-A?jJD->J<muBy+fM$TxnhpzE3MY4r@uzww`!+!^HPI^8&z
z#tvNmJ+pX4hz#+6b(!YZKVsO%WVQ)J*Izj@kzZiZdWM2+mnTaogR%)v9F&`M8i~$b
zRll@-`sKcNVMP6cLPlbOF*t-G1*HVC2OJn>oP_4YQgcFL8DJ9(%FV>PuS15E!;XeF
zp5wearsCo;ij4r5K^*=UPc}Qnf0He9lM9y{a?DVExCcT(5{(!?xe`T1Hq9~I5rtSb
z<-AmB9>h4oJOO{0$Q9@vOiy^AKv<FmSRl2c07@_aKF(vDSEndQq!&>Gm`Um<aloMR
zwxNQzBvDj=azUd{Xd{g93jY;-;@`ci2+FR3JQsndaBTDd{sP7RjPY`E1mRH6QC_bN
zZ{39`wgb8vC^<)5F)(U7#4&7*$28skH2$Q{mzK@HBAYTovO*>$As|Im=}t62pUy!?
zxb%Jgk&oash^zFZr3%ahA3u<3M`-FtT8p<Wz5NLUZl2eD&3NkL{~uNF*cb`dv;oF;
z(!s<Xn-kl%ZQHhOO`J^3iESGb+nLx-HXok*-Q6G1AG%MUs!ONJdFTh%ZU>}^GK3)3
z=Tg)!mZ5jpy{>+nR4Y-Dyv(u8y}5r(ux59cVy`grLs8eBEyMbEP7A;IPwz+LJ>R;9
zW<0+Kx^Pq9-&GlJIp;meWw_`f>_olah5Q6<m@m>e<ECmiaNBG|qwDygb5mMG9H?HI
z)(tb-v{Rq7ql2!e?}P=Wn_>Y8KlxX_dHrjmOg-d^M_vf*-v8nuK<?S5y#d4_?A{qt
z_NEhEZ9r^fc*+GW&}_V+BtQ7Q@Trr+k6zEaYPxtz?XITg>dltb0yRyqss>%LPQ<{D
zLNK}$)<|0g<Y0Bb5%P(R$L)P%xl0;<8niyp{s{`2ZYQc565FM>7?NVlkbrK?#UhVW
z&g%dVx?t5(#mS?T;1(601!)a7_L&P%ke`gknffV0p}{y+z*GQk5X|&ussRcPC-K8z
zMM&!+ab{c{rxYbZNXrcbifj~tNJt=-bUO_U%A=qA8TJb0B@6k7O|3f!-qp=xxVof5
z%*ydpIzH6p9a1P}D@-Ahg5&iZfjvJ5YQP|0ha<#1)}I+h9;_{?cH;~Y{6hRIDJz~n
z54`&{d+#1;t#1dh2TJ)ho#wyd&=6&4C0sgu;Zu778aNhS1R`~VLmOHHQNYpf3X3fe
zLX(Te{1YK0Lf~^D$Oez9Nsy}fJQ)dWbj|RpwWE6!-`Q2<>h$pu;~FkXvDJn|K7^98
zp#O`5u|SAkl9B5PG;i_a0zRei%*&&3tMC^^<s_cJ>f%s`)%LUAS$Ox%>XY{;sQu~P
zR(*JA8kD`=xS_VXd|LFGIl+Bg&L1kbS-kp(vR=S#`9=UGi0+OC<dHh%O`H`85k-aI
zZg?%z%D-Pf93Vg1G^a6v%nJezSfSB8xN$C=E<U$3TQA``RR&IhZQQiZ!ELKqv^bHg
z8I4!ie{kdyaz=JQbY-|t@LOKG*cvWpz0<_C3ET}!3Dnom*+i<)VSk`2vQ6Ix<7A9+
zE^XQIS~s#eYtIMfQS?wR>x_~n-&ul>89ypjd8SP67=Vjd+<g}UXG)vEN^+*MkO4o9
zn!!QJVL|VqL6KKwN@%5|wB#I*L60#;8PPi82K)*XtpGkjuRG1tc!}jAG)YATEEsHs
zdI>gx6?YHcaqW--L>o`BTiCZw;n`Mc3?>w!!Tpi9@ip`K7KXAvU4`}h0+8iP5GyFY
zoxZyOKCg{+XnHU>+1xlnL3u~WbD~;Kl*Hi9MUZE!*0^^)QUNKHGzniy#`t%avOxgV
zDap?To(c7k;#Ndp5JpS*!6cPeG`%6beQnEI`h6)G%r*_951-U*?*7LPh~WSqasP|b
zEW`m3HZp*z#|3?`G)a_}q`+HlHiK-rbFsuAF~S!{foa)~s2uH~jH&^+Vm!p597w}A
zFQyT@rV-`{1^dVF1Qs!75lsGc2sMDr?pb`oyXUO^sReY#a{}2*oS%Vmn+aP{$bFL7
zkBQJGTc!UHy*3tyQ9IZXoFqxvl%F-(Cbny`ff*)2ff7cl4Ceg(SefhNiMvVrxf}SG
zQE`?<97-HSH{ey4W<jhvw)^EHSG-F(4tB{XOQtT5>|?K7B%{G6cTDa?)}veQ9x*T^
zr|p<yDB0BL3%k_uK1bj5yE7#6FDENd%x|8eqFTC6B32@4L0k@;T2rAy6Nvzcm<4C5
z7RB^YyN<&P)lHTL;rYr8z@f~O$2jGHAvpj^>tW<|ZK2h_tJHApRvAK;$jmcR2uFh6
ziANX+8U~->B|nYqz^BZ^eJEXLh3XN=QY4gIFrdgu4Jeag3LJWb6Qsa%82W_yD)31W
zcR*Z`PAC^yyh)u<s3+Eu9YbwSX&(Nfa3uVz1nCWX9}Ppy--h8gc)Q&9t@C}lasbIF
z<`;tTEG$zh1tbm}qWl<m!V8bS5AR4Cl+b^%>}!taGE1|rDZPK!jb0}LN;rB;Oh@d&
zvOvqnwVejLy>)iwCIC+jyaOKv|BxPG1?U66{LTRfE|hSIDdV6@g|>5P34Ub=;+TXe
zRwgS+x`=O6nA*<BStJ%wek>vhyo{+pm|+D3^lg?tetwqHaf@V2(OjlLWciG_)|^%A
zZ1eY2#dJa|pOJK`w@&c92Tc5XHJ;;Yuv(nI<;iqvmmao72TH9<F&M_w+-2LaxJA%Y
ziLFLpug`vJP*m{av4c~LLw*@@zm4mA1}%gyO-x5IgT40p5pNn36)9k<79ki{+<-q7
zFg<42+;@5I5%rX#hn!W8H&oo0TOb)=li4>{>qfT>cQkP<xQU$nhB>W4MkL=<$>=so
znQi5!k!vup_p2bwk~oD@!@JPkzT9^z2AW26Ov&6`UL?;zf|I$!O;d3*0n}w>hDG*P
z5Eh9Pn$a;*wg*vlBR$|2^#P9#4zvCD12#nxl6*4Gj{#Z#W|3GJ{ck<F3k?U@U@1ya
z#dmjDJ*;cTT{6O{IXg`y?8jX(f%by^0bpZ17{MRDN?dOs$O7v5+czPkcml@x_~{kK
z*!S*QP~#h6V3xISyq6bmAqc_}ybJn55q=%EjkEefL7(?a#PlI--a^kJ!R}vM>$~(2
zP6B{%-yQ59gm2X?HYuYAt*u~SxSizLagAXDBqO^7P*HA#Nv9O6NqkAzfelc0U#%pg
zL6$j!cGKJC|EmXs4~6WO`<(XPIpN<KyBYW-3+bi(=I49EepBfwJ7R{9S^R_>aRhxN
z5kvQgkx$A`wBuv`iz)y6(oSc)$N}D3s2f+pzY6F-l`#X~c=wJnH{q*_$(L~I_JrAG
zx-2P*W<stxx%X@QNnQf47IN>A{D!&DHFpyO8`P+kJI6<VI-{wG8Sil&=5e<co(GIN
zQRTYmPJ%?z^s)>^@c7FBIw3m{!l-ORR;znYm}gHGN37C~o8(%u+<zu1$CTvUljGkH
zU&M;p-iKAkhS}bWUBrmlJ`7*Pl;A&@QHfQuHVD_G&TpS^4NB0lGD{=&TJn;C^~p%b
zXhLj<uzUvxpT*7)R4D&qjhCa9K2gp?P5xcJuy6Tli8Ah|l}puu*bT3L!}qAu4`8(*
z3`KS0*kbT>qIlLL#y@}?zayrl;60o#^<(Hfiao$-$<h?9w-cYbZy(FOFC;p}l-e>w
zc`cMVsEk1TOJ>cqhjv$BAJ$2m>&%pMfgl+&pwhMtX4}K~SCf+u|EWsM;3$C~J+~oU
zS0*JA<ysNYof?d6&<fG^GxLzr>{gliaL2OG1XEItnDC<YUNDTv`??iN_S&FWYz&XY
z^}0Bg7m8$Sg~SltO#E3m)UU(;44lzm*}lu|V-5ZWq!y2O2lO93LP`X>|3xV8jmvpF
zv<m{^#p_S|D@Tssgt?+v{`bo~9-H2s{7JYjraWQG6rCSrHM7%uQ7C{GL6L;L$Anf*
z9z(O*s1rK-=B=}-(3h{#nKnwJD1pR)d;vkS0<p%gm8&jy!Y5*s5X=zz+*_p1kIGA6
zfl(G4jKC0{qPOfH&i8x`AV*o5T{2uT6?GqZm}kFk36+a(?efNG9)Rg;X~kM!-tT(k
z(z~nc`}3;|i#B}!<PiXzB9{s{%=9j|s^c1O3X#0yIX^jeW)TVeWm$Kk1erZj$kg{s
z0H>!zg;Bw1yru#gK4>w)b{a-K@G^)WB+W|c{6Z#c9{q!tWRZxmUQ-VT7!AJi4HE_=
z&ZHSUfvip=D~ZurPjgCz>VNAo15dyhknEMktx~OlSMRh>5j!iDq#b&JgGe<vgXbI~
z@S`uIGRD0KZeBf;H1vsfw=g&*41@Qd6r#o53SNCLZ(Sq;FL_T1f4zk?RAMG(gkt4y
zT_&Cu5$Gxguo=&vd0HpoY*&DHkMXy9jmtK2<Y9q8@$iE<`R`=tVaenOCRK{WxdfNR
zeFNA;q%J<ArV!Mr*n~f*GMVF$NTRSTf;h8bya7PuS%3&s#)*SZL2E1UpmcOrnBRo%
zk$|vseHZ{v=22G<N`mrA6xci2rAzohhD;L<QQW~XnJ<4TQu9=IJK@wRXbvmV#}}mS
zb<Y0Q5yEHU0p&0>J;U{cXPf(SHuqULWQ&4Y+{#N@lR8}8e`F`=wewcv-AM!^q(Sg$
zPd`SUPL)K0!7gee8FU?>91U{y<Q;D3SL!=Q7PeAg)T|*H6)ov`9!$6>p!^K>)TstH
z-2J9NQ(k{a9a&Am%E%JMn_LswcB?V)=6CW(y*MyX`Fj+n;fC5?)Gjtj8sS6g9MHt&
zt;oD(X4)PnV57F7oA2vp`z@}E*=iQA?}bPoQ~+!TVrdc8%PMiJ)fcAaof(0bYdWH~
zmfgm-d5pE=@K>g3(o_OANy6Z0)pcOhKO^9HmeHGS=9IXi2B~|Y+f9*d?yK+09T-ar
zmo%88szG81<`A}<xD}W>qvSOsLUK^?8!fg+OypHMR$`j~<L!<(vgdaJi>vL>Z)7jL
zpFdec>=$AUqtFBvR>!ra{pk>$Ee(fI1Em{Yn=SmZv3=9lWZ+t@o+d};!`#zMTxWq@
z@L=={8AF!iC`z%NQ;4L*62?uE?+v+75<rdj78L@E;30yh2#L~!gCTzX{)TMJOsyZe
z31bK*{<|(UG7`V@rv(?{of^;BaYY?cMWdn#oy!D%AmCAk5U${C6-p1u_t6;0uWtQ%
zUC^8z?Tu^&dzWbk(^K{^-1?qH0;yx@@qM3XG5)*H3RR3GwLC}d=~-8gW+a{wsUZ;u
z(Z&exDc}f3_y8yHf>4CWM@{!u%}=oE8CFEpP>C|^-(00q*}N$Bly(eE7i_X~B$Mbz
zKV%I(@6$G`=gAZ+^Q!&V)$s}VbKg=xU^6;W83t;>nQ$g=a$gm*;H<Rn_a8mOxf-uQ
z5C}NSiujX;6$B~b+xq(e`zC3|k-?O34+H~4g2_mw^6r^wsQC7a_J++;>>$P_>Ob0w
z5GTiXqD3OgVc_V3+7I}OcX=F08)T|Pt2F?g6C;+;kPM2{1DC-}8FCY#x%F5yi0OGq
z4o>mV5&?ml{u!O@i<%3pLN$;l(MS(`SG~~wlbVk@8)Y;xVRQqVvMr3VUAAHxa;d~(
z<-@VGVAdrAS|+Ly;?K6;H2WE&MHwM|BpU~y?!g;Z#rYht1FCq<ykuhKv#Zh-8kb;-
zKxbm8tES)rBdO>%x*!a2Q`&s?LP!-XxvGMeer%XHp<IbN&`1R%G=jHkEGa|^G7iQ7
z^+5m(LK&0*7~wn-SxGjU2h~5}6G*+buwwa_r+N3AUl2O=`^nSS{95MwL<Lm;5xLFZ
zeohD3xc@fZY{&QYGG08RSQF3lO&mG;4pq7z6mbIokRz0_+mBs(eVADWkcpfdH+x`^
z@LrKHvfK>{qI|(bXxuAWEZP2Zq#~-JU}L=#3!mD;X*ldULjKBbR@WjEZ<4xw^zf&s
zSWoZoQ1X-tAjbWU)v*7rji7GZ?y^bEo|HTbjv1-hb`sYo_-W7_7H>RJfw7C+i^fa(
z?av}OhSH!&v(xc*=dLy;XU@+|(*E>{y8%VG*_ONnqNqcFO=Km}lRC~>S2VlW-*)eV
z=V79HX3jJ4m}Xx1<B3^<n4wOn*HcPXVe))05$IEio=cnK@&sl>hM^&3KP&sSpudBl
zU%ryrU(9hS+chfP8f{|B=%Z$4;}0-T$XV@I{nLOC!2B??(%w4p6X^|uGe<8~(t)K<
zcUI%uCw(`Fk-UWXiGcdU2sU!$br(1_l7j+8f$o3+%R@;@Q3`XCBGB=bv46yK8(nA{
zV&r*Jnp>8?lS&PWAnM!4q^qfD*Wouc;LJ&y-{KOmjbwl0?dg9QjcsxB{k|N;;^Lk5
z_p(Q&+F)jq%qRQ*vG1Ir^9=kpC;KAZ9#fuo=gVOJ2bF`A!DHf=L=;5w02yj;$NTBp
z04IpGw_Saw=`QYqCsqXuBQmN*KIIGAsUO)3$uYqZT~uN?_)ffuO!TAWHD|KiS|nKF
z)jlPc)%wlb58iPasYjIan>|lQayU#aDL(zm6BuD>pvZyj9%k?aJg+o6Q4-^|Al$#y
zirv#Az^q!p`m|Urul&L!Wr9{)b28_*(LjtFb3)4bhJR;;689ZL6+~0FfqK-l9Ytky
z^o)6|O(PQQNFUshz2u{Bx<A>^&*QgzAvISE>bH>y`s@G5MV}ghD5%u8=el!aY3emy
z5;Akr!XYE?4gTjK>WU4%%bp)yB}Hfd$L(Sw2N|BL5aQ00R9BhQJ%)C~HlMNFDX+^=
zC2$b!;|UK-K~~NQ7fqQBtOAUH2*#$g43zz5T$_0+n@nJ{pN5jmMg;O<C!Vv|hrp>3
zhYI*_QeNH52{PiM_%#K+JcqvD5xz(JpClK0@BCC=>3ycp@a6PVI>Uc=NLG}+u@8N(
zx%2OBqCN}ZGt==W;h+3M44!NMRiXk?I}e#Zk^K{>+}%TVaO8pND1~qSli6(~HOnT|
zS1w&&w5XpaKNZF4pCF3eT{~16vxIDBG_2U{&Nx4QU3m8ou}p~7#;sjTC42jyw7+@e
z);-9W7gp>NlOo}A6iHKK)duj6LEp<0OcY5h2!BnL>!8c|h$`rOb12uW@Zar)xFC!%
z2XbaD1!i)ovii@>Z#Crl>?r21S{CkcaJ)?tw5r{Y4{q|28FL^(CbUCxu@%vCpIr=O
z7t*84c@z(dL^ENYTiw65Y=6EHbX|p<lv$*+a9Xn?NYh|sW`l96%qT(#!DF-HYN>py
zvyHI~t~^9RA}>i1*n!%dhQP{=Xs2GiO#YV;jY!MdZV?-VTAm9yb6Rs^N>O4)HbK8G
zrM8>Hf1xSJwHxEfas6=i^|#Z3M4<9M*CRGOL|x(Py)D;Kr8|%}BJVKV3+|3NW3EJg
zAy4x6qjB<F54i?nA~{0<;{PjX_+$lk&#eGhcfZY>??3-#a>U-&74zjAA3D;GY9a<2
zQxbDO!HUp`jz_)evc0GKXUE%ftfFVK$aB%Qj3SjZ3kpAFCg7(4Joh7$)>Yb7KW0{9
zz1Uh^opbY$t!M2EIREd<&&}hYL^~1J@%@UxUE=9iB`qwHK;M-Cz5XM@df(^cY{fH@
zx4a@yEpTbjY3^M(5CEJ0t{h%*iIHba@vvA&u9{aQ)k(BePjPf_zQ$B4GyS}{6{m4y
zDDu*}bLUg?Rv?Ft;PtwF*E9C*A~(VcapAtD_ab7|zeoA?yswC#=bafR9O;C01n5_i
zI0kbiWPc$=n8B7Jdn0ziHJK-xHYC@6GDK~<Fh&1e^)Z7{Vtr(msc-DVDn)UA!1{>`
z3SH6u4q*hqsMR-w^5AyYkeJE;tOrcXyOI3x;!)rsnOA?;Zbbu+4X1Dt4Zm=KtUB==
z8^+`Dm~|W}Lsk#-5HO#^ms%rrKQ7IAlVcK$ZRHOAtoaY(70`=0h1Zci{q(ply+nS`
zkktUA9!CN}NJ2^?{}%?7EX|im+(EhS4HoyG>N?b?O0~8=l*Py|{F3RqV%^ruf-5WI
zJSYg^cfcLXEsAkl&And0EsCkU7{lJ>{F-jX&ujF0PM1NDcYu1B(|=c?c^Z0lBq~e5
zx`E$!`t|(H8VH^q6DRIpFCHE}g-Gr1z0X^6RnLGbI!u$u>Z}(Y!@F>$CyI_@(ROND
z1(AJ;`P>e<GE*)k5O~FD7W=i4U2pv5j0z#>7G+F|`ZrmYlWk8IM8ZE8k+3>1CTidb
z;2FATdC2=r=||D+T>c#@GUrv2&_9baHiK!!0A|4k@3PXh2ov6f`|$?I5TpuIl2)-@
z_|Vbv<;xR&Je^+3am$eo>D-RSM{4*@lBg&erenEV9y)XO(c5V={ghmEP8H>OhNUWy
z8K(adZC1Q5Udf&3eo<_}>D*{a^^~ibOls<&Chf6Bz$k4HB+aIs_n#m#kn=xpf6wHe
zXno_ieBw5NT=MRg72gXwf#>Os8qo<-&?sXOOnmE}@j6J)UFSPxbjqY~?}TyybAasJ
za~=$0UJr!uXyOEzIt~0&YLM($c#SA~=2Badm<fHNxO}eqJHT(w`)Zv#ko5{_o?47?
zNw4^4l|;^~4Xu92n44zbqn1KMNvAg4Kk$q4uG#-#<<+mWQs1ur@#R4EEt$ca$8(HC
zmcgs8uP%C0&=~?A;*w$)4&wV#%-zUD2CFFFUsD!IdN){i!^Dm1cFMu&Iza1;9iKA^
z(X{q%yb6j3=ymvA#6rOr{Fr%CCdxzWQ>P{Qat77fc(_^|dMgy8Z$dlkz(c9;pG4x^
z1%72hVlIGNL<!Ux3d6r3XeL_UXmyl!f^(*MWc*hAi<i-hgdvjO3xP~?Ej10}gcPMb
zqYIdqC=QYk6ciO5<aS8tH4H{hli<VD+a1R<o^?H;xvp$;DyrS*LitO6B?J9OIALA5
zyKsB4!AG<#>VL|ZkgCyM|2Wpr_PypAv>%vAB2qpWb$Wz1*}OnofEWhEyGkG-Dai_`
zd|Td-GQnrt@lyO+eCr@ezEQiz)0}xl*ZsZ;8g)<rT-pxwIHPNZ_%NTGa%2=sgY*Es
z598+%!y3<X@}#3FS3)N-5~;$Sf=OCKekY51bH4%pRny4&TcW=6<#WaQgMFj^tI2?~
z8)<57jcV%(Hsi#}Pt7w<xe0=5)7W`tnu{!MJ<>in9paa$MG&32dzle{8<T98pmgQB
zf^>fLxD{69;(5lxox*%nBj3XPM0{hwjgJa2N?=sHp4w9QZ&?=@BmlSlY`N3BM_%8H
zsM$)ln!MV01D|VvQTqYJ!f<v8^Ct;hH!%g22=n-$gRNKP2Z24|3yUhHs0wN6kCaA;
zC}jh(i5duI4r(HWf@^S-j<%j66@JERUnomDKU5V34=w@&LJu-s@pPbS*ro!nlPL_~
z$ITXukibOF_B}|pBsO@*?!!$+rDg%<=Pwe6A=a~RuS)TMUX`ST)FyfE3-{U9hwbs3
z-)QUEb~BN|kR>uSsZ`+i!Yz;UNp6Q5|L5a#+$~FPn}S5{J}5v}X*P%ogxLw?*xwZB
z9X;2{24JCla&=4u+d_2zbO(#wTPfYu7n5$q2wo_>Dp-|HG_|455J@r}2%8t58;||+
zRh#=q>4+*rbC$pT1(Ui6GN=6cTgWqLfXK8(^)WW$6Jf7yrmt)EmUl%2Q)G2n&<()c
z0gqIoo=2?fNG-juB<HVZ;UTf$EgJq3uuBDD=ersBo<HdT(>>V!)E<iGrB4Z8yb~6K
z5XK*EfB9!hBM-)}YgEcUdAN^E%}$w78Lk4L;*@4Pr}9CB&mZUr9%%B1@;QSJJkOsx
zdv!#RV!(rubWpMj?uuABJrsm+qqyTg6j2qqsqr9H65<N&bnq4ZTQRcZ=!$OyK%G_s
zYGI(taty$m6YPqmmXCc?8tRhZ!|EVP5O<<J7X;(~e@*vL^lFX5YV&jW>0<>z!4?R|
zldoPzNlO{|EJde-U`za}2DjK^sl!J2YX5lTzK*FwnHg0cRC2=mGAJV|n;(SslV%8g
zP^&aF(AfKjShZTn-|`morN<RqejB%K<nr$>61yL8PvsuRF(kE7^}R!y4@s%qq=De$
z=hNJ_*Vc{f)6W?)`Bgk^hrm_mP7pLrRjrwNu<yjDOYeXOv|LO>3lWO_2yC1X50*^x
z!RT=iXblKQ-*WJ~>NA|)LD6az!2m?NfQ06z4QzYpPrGSL{-1uuY|h?$;QXfNuhm$6
z;DZ1ujNDQfDDr(O9PyZpajjRI_hMN?Tjl)?0=6PYZF#jeNp0<H2V0mX5Mby_vRdI`
zp8dB>x-h{1M9P>?N_l%KTO`7g$K?<$FH?e%$9h?s;F2)ihdy?h{JE<FP60emyYfwh
zA1X=S>vwxj<L<tkRwZmg7fSGAh;>GFkZB3WuS--R?D-K+IU7V0PzHs2^+jwvLXiWa
zo_$Cor1D=_gId}{WaWC*@z=Io_wn0hi$7!&?jCfNPWLr78EPD0j$|hgni3yEG@{Sr
z<oI0Hz6HlCFp*pCj75}3ylR;=5ZX!%b=+~bG3uO}u3^z;@%5gT{AZRs?5{>*v;AMO
zm#@w6L~!#_*}i1HLk-Fp72zG~#ZH8;RL6<>-dlIN|58V^WH!-$`FAI>i1kKh&uI~1
zfl?Nh-r3Y<Q}>KSQpfM2lz=*j*2h-~=p=5u)DEg&E79~@Y^mBTCS34*b#YmsE{2(<
zuH%{(V_Fw6#CP8DZxXzasoylsStP}h<Yo2yo2ZTrl>~7A{dOkxZ+!L+rVK9{bdVwh
zEN7W%D`f<t^JPR`Z%C+&IQ$!fAeZR$U7##(dXfDE;Ru)&s1dR9-uvah_@a%V;bzKv
zVHYXN@+H=HN{fR$A_5WG!HBP|;J6)UT5$0AA%fr*J#;1nLw^+@l>rJuS9IHj56Qt5
zV}-(qELJ}yM?hJs%UT;+fu#RopVF#9@{EO=8sE3{i_6buXt*I;eYa3>k5FTqU8lkC
zq^1Iwaj3Bh*h(PC@W)qr{pp1oB>a7@apP7pr0kq^Aq2obp<JN=k}H=iw^*#ySW|z~
zM1HKW>_Pl&`$pE>LDcskMtG9iQcK4*;gJY19^ByYz7xM1|DM%wu`d_x{+B_QfP5tq
z4whn=NzW+zL&xb8gaL`T!n-29Yw3?jY%po*`@=Jw+I@z|w`fVz(cfEYN3|j96-z_p
z081^?PawKBde~(50))(m%p`T{I^8b*T0W}87sh!`><{05@_qd`;96qG!hI;##%rY2
zb#OhIsAkrN2}5f2gXVbG4unpO9=_wE5+nO7FcH#jmQ!7_L`O1Yr%#RGClPNjR8|j}
ze0U{^lEOV|8|VGE{4CMtxYDajU3348RWQ82EkT|5W|aM`S_e1x18#!Y)$HH5h=|NH
z;+$6df8~9woa$npB%Md$Y5L2h^KQEtOTY;fy5+Mn+Q+&jzmCX8;5-moAt!h9RELY)
z#A#%i_ws|-_s+W-9`na)QDbMM*A^+Seb9%;R5B?|g>)r|=(24DAP>Vy0TsviFeRLB
zHOJu&%l7JnFIL>F?H|!pxd2R!x?*M>!b(i|=dZio_|soocHD1A&!7!M!j*>k2|1(6
z9<Xf_%C0Ct%Cenn@G!+8K+e~Es}P3nf;Br^2U7h2kYY@o@)WbYADz9$Z)JBk&zS>I
zdo7*KIntx|zPbHs;r1JMARC7!Pd=-8^L%B&*Fv$yQba5=)L3<M^!YCur`m5MYsJFU
zTDYDMYr@8z$E<MW$U$Wz9G*h~rtNX<dFq4ad<J2)jFcp$7gr9L-KD%5$%s(B7f~4L
zfcE`u(P<1_9PU|LXUZU6&h}pL8si+?lkSgXq+oOJ>01CX_5Zl+i+;4Jre<g&uAY_8
zlRFh2ZZGJwHD$xB5E%RjCG84~Z~k8W`2v7nRRP-j!tcu6^4GRKuTMQVH91_*TS$H(
zS4N*BWX9Tb7jF|#c<SJ+T8X#8ZP3n-|E0#hWAo1ThbKE5@m-U=w}W`(8(++U%rVj$
z_*eSNjz0@q_ng&U(_B}n)sAR?{GU6r;dKXK={P9VUtYaVpvO5$9dZU#5637BZ`*=C
zfx5v>2o7DlH}k~gKLRX07Hi@pt!UBD-n6GR-e+aZ7I!>i%8@8CGKD@I``av20aD9b
z%u3<rw^?AhqK8*vswQf72@JCuS)mzMN6~;rY#Z~xOZ$%PFX58Cw`6{~0yuqx`|a*$
zNY|1SsL*Jlm4GP7bw$+37X5X5$zu*Z8F!nuv+YMftD6#~W+#SjG7=2ij=%T?-mU^X
ze|iGcm3&Y1r692+#uFl5JAR(aWZrRPob#cinE%&*(EY1iWW;lrHn!)bLCxKVWVV0m
zOGc13Fdu9yDaHU^4Fe|x-NRu$T^GiFCsIMOl>?*gjGwpJcf)OPNKGx3zwDXB0ccS}
z{w$m0L{dG=C#4}@c7?;o@ANU})#AGVn}c-8l_<A^K)0MwR#cXQak}}1+Gg_fmEtzA
zZd<aAoz6Zch_Qce)qqYBWk=~U2<sTSLlgFP1DI-m&+!5B7UX`LT^P6-DdiDBm`2K*
zdd%k-SH|?<<IL}W|J{y!W_AGZE?go>eAlx(@8rdvdrfYdIXuPP|5y7zhnz9?tP5t{
za7-_wkLyJtP`V0yLcQpmPK-A8ZjDOqLfJOr%gd|w?Yrt9%K42U0&9X}qlF;QEe~Z@
zt-ql{gFOP?f7G-}m^xCYGD7Lb#_&<G>XnBQq7>$14k8rqaX3f+OL2e{#Q5xjL+Nk9
zi;9r;T{V59z`s4#RQwJuTl@#gKYc9cxvctZUG3j0E-v)lg_#5ei3|k(2r~;oFUE?X
z#h>cDMr`%p<ZQdFKT38aP7HvkC{z$b15POfH6e~vMrEmE)XI0maD+<w8)Fs=P@@SX
zS3WH#xVvxeOg-+y&uHfJL;~kab!wwxng|!ZueRNitfOz~8wp%nQ1G!_HmMm=fFLh;
zZ9s=%X<VJ4XgaaiazW_>=V@uF20?>nRH~*KB}+BAc{VDR0X_5-6I=Jv?I$4%49eC^
zY%C5~(S^!Q4-)Bm;-CDqj;{sdp}w_bHgB#2kq%xJEuqc2MIn~TLNSqo7^QMqO_M&2
zRIB3+4F4H-zcJYFtOIM{>g*+kG1+54RT~&}S*SH}90W#)KqpPhRkl&6wo<^LY@WLs
zJ(4;R*-<GmxC=RPpn!(ZN-zlcKg3V)Q@dS)XY~Qlov4C49!2vz8X@KXVT@Y}>1g`g
zRC(6Ui!&td-*|?bFPan{n>U)@v)V4W`7R=WAS0Ascq}{GNmAc?NYeh<>bthRM8_G|
zMq$W65=BM!+Zh303E})9Kmh=;g*al}*Mem`lUObMrkg3T7T?XxN+c&Yuno-hl7vEK
zFqvY>%NP2GIQw>;dx=d!XIDtY2s$R~(RPF|bPSP#SuDX;q_$)505}dxy^8o&k+WPv
zGi?9AWW+yH2BFki3QBx(EfdZM^Qj<k$lQL^1z<W)oo(CsULjk~W53|Y-m>O6^w|H%
z-y{vkU?L4qdF<=yVBk;Sa7<pMANT+OZ(MoG2Ot|c#%SSl2Vfg0yJUX(>-TSNyLK$_
zV}ap-U&hn;kiXCt%P0gUbg5y)o!}XqjXe?n4k^hby(cfZY~Aa3R#d*JR1DYdKIu=z
z)eT2_ziMOIL<px`i9HJ2E1Dy^UhfUACTt?~s&QpQLM!~QLhvhA<&x~xdKC0sY`ci{
z1}K2W?}F&nqiW}aX@#k0AHZ-bWL=9?gou@u>c91H$+q)xRVo!-VEp;yD7z-1kzyL@
zwOOPN(ab6_b;Ct#_E3L+oYC5RR9yyfFM$U|kP<IYpEoOxlXww;JO};v6lFYSN@LYm
zccAipM(9jve*@v-xPpujAhYi&F_s!kGP|!~XZpKP0cSj(`>|}RUR{`Bh9{*jIJN~e
zO~9C?Q#H5WeaW1aKhw$B{>FnQ-X{WyoGyM<gFrip2$IK#FMEQap<+pKKUEEh>zC-<
zx@<hh=B82A+r=ki>Ms}7VLl2<Hi3`?*JJK*=-gY(ckvf*J({wIiowJvaF{I)gO{<Q
zfH({ZxnVw_J@z@f`(2hMjsp7mvV(f19WO$D#MelUC;0#Lje;)TJCTNkg4kjSCxnQ_
zPztq+j|VB&7olSJn{_+!RFm1;7D1b7{J)=B&1DLkgKxK;J!|7$G~AZZ9i%q^a5K;x
zzb+iw!uWd^5ZB_jh@@SHEQKlOZKaYA16xG*oafs9P$}177dKTk>ol@P6>+aK#1BEo
zQ8QXG3!=hmfrHt;YqiMiw3szosbA^8fOT=&l0cxaqPR#GSWi0SjCzq*y7B3nev#Ld
z=WDIAC4%~lGQhl~dFWVJ9Fbp+;pc0mgN7EtWFX-k_xEjPDUE+&C(Yk=?N;$F_KH=<
zm-RD97ZsgN^W|78=QZQTb#md$<OKzz%aBH1EOM+x5>`kvg(DRVnAAks+S_?E!1m;q
zE=ItP{O7Kfn7<^KmCU0#DW2|2eSFV%&bX#RwI_3824xPS5d{>r5M91kD`jO?=s+t5
zv$k!&@n?7z2oyXXo}F+TarX;6A;FHZ=us*{%gNo$PV=vGzU+QnaGG-3nhu2mDh)7v
z8iinPzS9U_8@*+=SE_f~+kOnFU^_H^ppEdyX(<&K4${s@5CMT#4F%WdH*c5xFJnqb
z+0<XXcemH<w_-DLd}04yN2ikAD`bMF1B#wO-G{&v(0<nt$GTo1M3@AY1ewB}q`6Dv
zvufEF9LZ@+Iu`$n_my9f2}KKHFIMJ@2qqw^N~zNC?iwXF)iP@nTAa><((SC2&hAs)
z{N1%U6eB%^Iy9lxeE_}7rr}n0yd5hGN#DdQ#gY+&tuVh#+*3ARXe_IYez`CVBBnRq
zfM>{A_{gd<*V<)dSr>mQ@6X*G()Vf{$G^WG(g>q+oa28QMXna@H1b)Jv5Lmm8oS~f
z8Lm<1S@u!E>nKw-pf8A9g+@=|@>@9{_jJ$@doZVD8<^Aax#iH3o1fbnzlt7<dKXEh
zd;eo|CDbBax+}(d!_3Q-8HTLK#QD7zu=@I7-!d53uU|UI+$t^9>^f4KgE0n76}k@!
zg7&Clo9!?Rgzbw$F(6{>treS>rADe17)Rs-R-as{x+=iv@uA!FUY8?N=PNy^SLd`Q
z5y!$2_T|{Wwd(f0H#jCJ{1?o~wvnvD<@6Q4xX5GMzR`q+0O0ZLfOZ*?W$#S-^Fx8x
z^bUcpN8UTcac{iW%1z|fAnS3OA`vMkqS7|{CS?LvQ?<nERZAU3A}C+i9!R1w#j1I=
z%#Zoki{OBX$N!`YXgJe$+C%T!Tl_aokB={ow@?|>e2BbBzzIVr&qsc%uEe_|!@+_L
z;Qdra7p(2w1~Us@2hpj&Z3}DhP3?cEe&*a^@!PVzgQf#DpykEpyi;=?#gmV&F=Q6G
zRi|qLPP(mP@_AR1%XhAb>zHuTh=|cY*?cu#;Oo2ZZ?XR-fK-DthjQzk8{X)@$ZPD`
znTtr8sLFtNYS2mg5gIvEYWj083Jq!?qDcUud2sDj@t1bbeXusqNw17EbPATrPu7o7
zPe&imSstqtwVNBNBx!R;pMFn}d3%xh%jdz;?$HflGG7UafHSc$^LI*^&v<Y>AS772
z(8HNdg>QcFup+d}%DdlL&`WMcNKf5h&e(tCkwWz!JG{1oc9(5l^U7;|#=JJ41vsFT
zoxq^$M%cR_{a@=%Q8PzN0dA*}e+Zd`y8(&YFkcy5-PUdGw0h@8@fT<JL0~p@Y7qyH
zNFO0N8TPpmO}SwN9#?~BdR->B5nI=`%keQjsuZeTkiLi)0<NNdV(xBSSbWRNh8U5-
zpISe<HW$&16*lLTDaC`)zeV@=s&BjGe|MsOp!CCL!pXTjPgge*E<>_^D{g^MExvz4
z@9Iq;XHUPO(;MQK#h+V=bI6XWKZl04ECW1-m%n=W)m?Pu<!($;aT}vun=~<ztOKV#
ztm@hPj2El*-H#@UIBcg$g4z8q#fNB+9_Y{-cD12{N^D;8A3EQ72N)2dqg?ZTNLkT7
zf{ejDdi?2ykmDIOcr*P5>$gY#tL2*6I7CHb`$(N+l&Isrm^QmdxzG-<>XaOU67|Ll
zr#iC+2CZ%X_O~!y1jr<(F~+!k6TuW)h4QyUu?EkIppMp(<cjT|IK2p4*53nr0pGs(
z|M4JBLnbXZ*q-zH;+!v=ro(||_ReKE8b!<qbcdun%XoZ;Pi1oq0h?W+K;9b?tJO!x
zj<an`MVCm^W2<pl?4V)pQQV5ml7yNBazRlK$_%&x#_y=G-lI$ZlDyW|y(dM8jKrdY
z5R@yHU&vY#4N&eO;U%DQ^VW1E`f2HuU74N)-*|*CMD`d@G}N9uuIdl^_aXct=Wyyh
z4uJV%5z}P_u$ra>*LldM21jxd!(CNn)35jO2fwCo>pzfbs^;fEgK=H(rUTKP+%`?C
zhOy2?OX}Hg#OTsvq3K%L(Uy$@KMGiHTG4zaVkeuRTsYd!a~SEln1%8jkDymzZIzxb
zI?jH1g5Ty=hNp)KVtFHQ?!AYZa3R!Mw6-%%%gQwMo7ZyIfCz(O2{p(++Cqg-&P!;M
zm*IP4D&%>Ta?3oB*i~u!RFpejF<z%&s~$J*c#m$q+@p>I8ypumd4e?yh`M_dC499&
zloNDN2!zh3E=b}Q%l%P{aM0MX`=K^KUuT52kqhU)@L!kCiq6$V>G@Rnu+3{)ySI~8
zP;=soHU>lB7=YDP`0d6cKoU(C7}P885>j{(OW0DSrBBl^Y4&#5kQz)9l{~ou;gdv6
z@Q#XB0xYoeSp8jprZ2VjX{oKCrt>=?P55x8DY<{;+5s&y{#VaQ=SM>`OY_K4%-jw|
z#E551eGA$jLCEz@>EE<+^nuDlXhkBgczfZKN=4#<tK}`L)Ke0dHf&bbf9(yIB-!?G
zPa+ZPf7mt*I8&SiA6ZW1RWn?sC3YQ1I3e1j|IBmke5^i@&Wp`<ZeemT^H3^MIBXAT
zCtYk&3fDG@E$)9zhgdY?4h8un%FJ4MUaD1UEseRyFoc?(bcTzjMa`r}k`<LX(5F)G
z*)n;h^O}LnxVU5yLe$FAJan5ZEBVdJGbhA%ry`_gdt>bC=5y5WNvSEdn0f$X8p~3+
zL7$vN%p%JiVK3?QVtPZ@a<n%X56aothe=9ShPw+rAA7H>!{YEKT^R^>7m#xkJqiha
z9Cu$=Xm9CY6OX)46hMQvnG5~@ITxuOrg~g`+r|fUZzN%|ZZMjr>vE)8j~Hd&g^t+*
zGJ=K3KV4+E1kb3605+tT#;NRe;~|pHkrh;wZdK8IOfIIfve|i2IZ+cB9pf(5<r7PG
zF?*kmxo@k}8A9|Q4GRA?5BlYzjk8m`!tagynYiVy%|a(z4YRg1mbI~&Dx(?J8~*D7
zv_ruJVWOJrKG;YyuQ=xU=$L8W$%APzBViV5xpeP@C02`E2bQi$JfGa=J%O%YpR1AF
zIw`Z286ZMGK!}#RG@gPshY#osZ5#SO3$4YB_NwWFhvK&XiV0_DNNCjujAUeS9PoUs
zwPanqSCM2&51Eq31CF7Pj?^&yNsIQQdAJ_o={r7$pcd?y+YiHYKwT1Ia8$8R1yMyK
zvrLIWG8zCBlke~F_p$b5#z4?aIX{%qEb34AxQh9Rs0e4I_ty=sB97qkz2;xus_$tL
z(}#8#R|A=do#xZVlo<3|6jss}yHV-fE*=y*cPJI88OH-l16a93fP(*|8(2LT-I+WB
z-;ecJyZ6=ya%dHuCpYKpndP1ZFlyoufs8(Wp~8W1_AT4r`6&Xee=d^Qu&%0exVJPx
znAt`vzK122;ppy^jA#B<%ONMeiReIz(P-qhTYw&mle<&)%`PKV4?1H<^Ow>j#&ula
z=dR+MuQLeLcnYkKC(19}kozr=)sL*3O^Fl)i{@4_OxY*hD8-VTm9d+6{q+SZZQ^y`
zm<Xm$yUpMLSsEcZL-QlPL3P%ApFfGg3%Hlv5#yIE+?DE8CgqW`+E%MUniS{!M`ddL
z{!j~J^_xp5RU5fJmpo|&t)In+;by_Y4aw4N5Q}Q#NCX&v)6Z~IXtWW1`$jo_^j4xG
z)rxR<r-a3+#Ay^jw69J<{W59S4$$^yAJzb8?o{9|3RA5>l2gI~3XZ!>P=hO!UI=Vr
z6W9quO{t<;yzmV_<E9HgZ&$7uNKVPGU^`INNXhayQmgpF=~2`J*vQQh0kqvtU(=v+
zw!1}!@Kvp(Ev3ENjsMF*lX_U@S=0NIpAN?l#e~8l)b3~q4tYvDXXv3i?R?LDsk@D@
zyLAhpT*Oi7ORZ%i;6cWy9ac|O3n#Rat4a8!Z@GGC7JO97_l`<{nx>7@efu&<N7%Fh
zMt#_|L^@HN*s4Zs6u$LJ75JomQ#L!zu=Z{D<!mjm>c~(V5f)vLj{PHW+)J;-5l}Os
zg3V0I511&y%(DG6Sv(we_>!zw4S*u=#rCP$p>gxuQjD~9^tZZut1iny_$_SP)M?{?
zp8eLCm@c{~AIH=5wRlR!h;-pxT~%S=BN{nlR04=p-&idCe$~0!AgRr7H9!ZCBYx`x
zzNvI1-l8V37Mp_itl9C6HQuHcp{5%4&cfbNyC`VG3R))WgM_0K{e&U%fz=vU{L+MN
zQrgcR_eaRSmz;!@WH8aK{h0>+Q`_Ur-5A{|(u9KWH;-LA)2P%mHRTx5Gr%D~eUTQ~
zpc%n9G#X;@m~NQA44p=zsxi>dfKKFcqkf@V0xjJqxw~&m_T)eHCkV64)obO1X2AYA
zABPz3ni5uPmZ!AEA%FCTB%vh47$klIh>(9L*vgXZ6??4~q1n{~tK3R=?{6PLW!fMi
z_<}B)DkwTRUI1RQL7G0M?@*<y-TP=bItPEb2hM#W&-H?C8IYs8{vmk@o=|c!r!4Sc
zBm|E87m%o+@Ou%WuMi~OXld3DU8t<s^~@&Vr@9{qh@@8}r^bQ$;^w0yx2U}{>(IVw
z@tEXC5SWfDspYiq>)_cy$AcWR%M&{Irv($8aE6=_9oQ`mh{`=SJ<{vc?D(=3O>QN)
zfYxqf8+aT?Ahx$Dsbvr(+Ri$^ZO2LdU}q%onA1Kfcb;LMbz^2X<mNQP+)TY3ILV~3
z1`|kgdwf<@vo!6^_}=cGwHvZ~2OSR>Uxe*!MmT^DN<!Y~IOao2*Qa0Jhz0YN_=m(0
z4TT@?c?iK^PTDG@P^Q~X<O5$J6@*?E;<+EjULeoX&aN~RlE~HtA3HWc&l61}r20RN
z2(5E)x&D^?#9FTm854zqWzyk0$4$xBO}1s{RZ0dLlm84VKPW{hx=T~$_zmUFwh4ae
zmLHBc!qt_gi0R=clyQP3=~}XWhoJuE3)#=oI&G*XF25J?nbkW%iItBt{8ogURIk_G
zvTu4wRy*EA&*NPK1$?rKin+#{m{tl^takz@1Tk{nGMaF4O0A$_<vHHr!v+BXf7TLm
zN%1GztRVw#7&AF;f|t(pZ5Yq!eV3|tSIO!L;@|Wh3F%5K8>eoc-KK6!X+cyDV&=tl
zs$@IHTHjM&wfXI&$zz6N<5SV}T2RkB{1U|*e;v?9H}F|?y*hwDiwi_~%O<7hW|nHc
zvGmt?^v9<7bt6ir5({noy!Y`vZ(2L=;Kkjti5eG~PEHF{8W;&I!8Av(^Vnwh+SnF^
z9IEZzhgs}5P0N#T0oB9fzHVq`>y?Lvw{^OuOPzi{!*~~<E2Fp}nJojM&QB5(6_qt#
zrIy%>LXECoX?XJpFZsVJH0O%H5rxApYU{OaMs0!QoE;Dg!3pCr+gRGN7@kb9c#*}P
zwZ^+`sZ~EciSv8cO<prF(gAc(6!8VH3J{B?-_3H1+JCs1H=gdIaog99RRD*uB8bar
z4L~O~uJ{vb<j?NE;&U{8f(HU%wv?@UE4v0q#_1y%liCnPT*UzXV}es@SM4aUd{4ZO
zM8}K@rd`)Jp9rsxj07SgsICpNg%B2_J+?Vzn?qSRzDyvRZyCyTXkKx10(r)Hz~_;^
zG?-+%Y|~P8504{DB^Bn}EBMTU-7bT3E4M8=4}+JoyGgdwVu)J8SY3QtE!IY9R@@Lj
z!CIdqqNg@)wDQWGNFso(&~z<jdP46w^^1(mOXpmRVVF{Q5Mh*GJiZ&`wy$)<-}P6B
zJeld8?p>iwM0v44lG$nyQwWUJj<VF`)wV~>jr=OoBy%wBocmXc-*+qoA#35Cf;xBs
z<C*FYVwq56&dw{#?9cryOlk``o*Wn2cKf|S_w4*J?kRR)P1(gG;TJpI|D2WYMN`&h
zfJydRzoNM?e^UJqFZ8Uh>!@TLJ<s2#v3~+6vjiY><RX5=D?-3z>wMWYK*kRuWtBeU
z0(q<noOp@L6!JyoQn%=7g!upJc!h6VM-xPMJ#Lm{JCQOSLsRZVO#~bFk7?w^gLB<=
z9Z0f^n50>^1}1f7+=s}Bw$(x<0anrS?(vG;aV(Z(n}zBpepBeoU{g5^&6_8&`Oija
z^Ex$Qv_z-yoZ8Ac_lYj`tbou?q+F~eaH@5cD3-qG3hT-&SR@-V@B!>vV*(EHYUMWy
z>3n$5-bcRYe=31Rus@rV8Im|*6dtcnSs3&wIk4`ryEv@6Cs)$9I8j*mmY#Z|Q+^g6
zrg(qq>s7KCu9lOl&1P)EzY}_E6+U5;J5dkY&zGLhE)!HjFX7NJtZEi;ZQZ=w;_0A5
zk5WNiUZHR8#PU6+PBMWb>!hx3Pj`~O{Cy-<Z`I-3ec3pQ#e;Q#rkh1o?qrJtDj?tS
zvFdcAdTZ}QHM{@{{!7l5H;0G^$s6iiE6}cZ^#WiBu0iz5mADDe{|PV^C_9Ahi?3v2
z^YG(+s@?u0aTTwb4a=?!u7nIzDh|bZJN^q@1r6J;qH>z!6{?x5TrNb%LR(E_b(5Q6
zy=@tl6#}7O;K<?F*O3^CxX30X*p<h#`+9w^G$n>nbnaX8+^yGV2?quUoDiTMnxDG|
zHW=bgGzv9MgT25B1gG<<dVdo(j3&G?G{9au2GK*xO@5kn{L(MC2EH4yYJ={-b*Zl7
zo}~&{1B`2C+D=z?^;UmQlzi9d){-cUdv%hGrTNN*HWTvXPNHXU{^*2k_=r7z94R-8
z9DS$jz<NE+$~F9qj-xTHJpr(>Sxe5|2Iol%+cFGn%;UcKh07-2wdu7Ow+R4kt^Z}`
ztU{hoGm4%FJ=MxBZwzVgDG?NpjZEmUlv13b0ZCtKawb`Ng8-d1|9p|{wlf;|`J-J`
zCHTN9@gI?I1nr<|?N4&iar=PoXddnwOU2cBWS42Ft?T%b(CF_+1OKNrEh^lTUsV4A
zG_iGWW|-0Lfqr7rNPzN-^$DJ~zCH|x0AWH52u0~_s6NG$$Fz9{=;y<xvAo21po=5w
zG5ZLbssi8`OQ=5R<e$q~g-do%x!L?y134U^IKhKcJHbPlf9uP(C#ImOEBEJj=J8lM
zdx({X!Sh3wmED7*No_?C_U^Ryg908O)l|jSX=$k08ZlSzPs&As_IH0ut?fVa0qPBK
z{<w?r`_owJbpcIk_;Oi|s=w+)alN{?D!fBR_Wh1_38_ndw~VoR$IVSFTd>$Ir}1L>
zU#xG4yar%~=R-(=%aYpf)_Zu`HB1pUXLzg2Y>|G4e(@bbB?#$mNj?nLT&~hBG|i=!
zq;g8c%rZflw|p}qyyI5$2mF0+lIt0z%J7~K3R<FAgi?D{ef*QekE@6jb@4ngH1OmX
zT{k!j?F-hGEufw7U>FD7Z)Tx%Wvx0(4&vtA$JRvV>dOoy&HJ^L3OrE%^+uYibl%$G
z=EVkw)cmhW6qlgkQ#8M}oo5cl+OM)`W*#^=99G8Gc>E^bMTBN!?YCP&??9F9Lxl-M
zvD$c6yA2XIhEKO3Njnjq2FxWaq5}U}p<|Kt6+jliGnSVR@YchY-ku)s?i#+Z?571Q
zdQjjrp~JTN&cwv-s--SM!nUG`_S-G@r1SWitBAEBQZv4zj><tC)1*8QA(es9ZFcp_
zSlOHw$jjC7c>UOmGKbLbL&f?K%bWIJKZbRJpJ>xjTHE;sye{vpvTM(>j5slFnTcr+
zSizWcH)3N>zSF+L6(o`dMx*Lvb+J7;@c_tW3pmM)L>Wrf*%-Yiw`kd`pW2-i1z$Gb
zZ&1Du!NUa$`oIlfUGvK|#?f2F=eH#VOSQ!0N(BuBdy|PiEyr>;zABy@fgBlDZZ9~r
zjm5%^lGKhs0T@RZalzx;;ujq(_t!EE56Wp@7ji$Wh{&w{L3>b(vx4Ajvb7vXfEy1H
zRgv|4`naHlQtN08Z-@W?>rGnGf4?cTejmP$wPy#t1_6{Xsb+7jNC1NYeNb02gpN#o
zm`IBS_<HI+3hoC|)z?P8&%gp=!DAQ;MGJ=Sl|4e50AP%Lq-IB7xyy)EsCIDa2pvB*
z^bQ<kS}@!^nhtWpR<AyEDpD(X-!usIbcgymZ5COc`za4UaC9xr$}#k-8Gx3CO{ZM_
z<qLW$i7B6vt7e0cRjK>`Q1uPmm9@>bv2EK{$LVl~9Xr{vI<{>)9ou%twylnBqvPb}
zz4v>+bM6@HA3Uq7X4R}Y>rD*I+~IP--h^o6Z(M{pR~&Ng0O=^a3n02(7r#LfVr$J*
z%%ksvZHA0(3CAvm_0h+1BhuO4I4Lfl4JoN-;^YzWqii;)9c3mTbL~xd925F<KZiLr
z;)5N)8_h^dR}BI>I|o;l`ovB)E;4^VL^yG-=yBlTy{mT7x1qS)adOmjtzW?|CL6Z1
z4<063=MP}At1K)xZ|fx%$>mRo?I~!B*rDQz;1er^=Il6;XuG{SNG7B^7M=5X8n%xO
zbVMDS%xx0G9DAUnGj^Cf4yB<}*Ck%X$7ZVk-wMRc+yQFM*1ZSJ>E*6NL{L&D-&SFg
zYLb(JGP!vo`Ml?vFxX*IH$NrE$&Ba{s|O6G*$8HI`l(wgxHH(6{8u|g<;Vb0_&NcH
z;6JsCw1;kcXC4mJC-6jA>y>B-N*KAjQQNU(0^&r_>decXi5)-Xy)NAlU8U-U2c`H$
ztJ=&0!i<;68g%QOd6yO3$c%jkffsWnXq;UK5`>OfQpRk}sfBXpxsv9ua$W^Dne75b
zTowg2ORqm>DJ|_oQU}wemC!rCI5|7{70jB2t?O9hK@A#|B(EResR(@ObQyzBSP%3!
zA|E1{P+>8_O~-+ghR$0ENbL3WQBaIi5LU&@w&teErzRB-uv`}KMA02DvVy_6`p!1<
z=DLtmWJs89PC{v>Z@@V@iY6y~iov(;ek`o;(!W03HRGV*kA0b|VeRG`t(ITTaCVRz
zEb1e`M_%%or?F)`OeVIy)3?DT)pyl@J25#0Ct2IA`OG#(hkos7R8kcEq2?ftYqxiq
zhcf&oeN_(!0ueINjh+}_BcICvrPhs7r(O89lH+j1e)DC&F`<p^aLK;)p~^|seBXm|
z)`nRyF75MD>3Dy&_wZjn$;CM5+?*a#Xj=-2zzPPt$>i@DE3R!J;l*Sn`5nc^3+YRN
zBc1J@F>JgKP5HZW&65v7@Ll<zJgW(vusCdqf~}<QN>g_VyOSZlPf^8ez~e-RZMZv&
zF&Co=@hYq6m6bx1N4tLRf_d%?=WoL{3)q5~uzyABB#iBU8gt((NwWBEwVtTfMELK*
zKnz{qs-LFRaK8Ll{A${YlM40a1p=4P;W~AeaQ(;7@Y2fwP<|2N+KqQaFx{sQ;`^)6
zc(SH1iO(80QIKB-T2-w9I=`|Bj`SYz-e{wxWFf_Uo-r|id45=Pm`=2FY3rl;%|XyG
zf^moYZ7TkVE77kenKUkkI9>}1*O<SjcO&BdmE>i%P<*R{nqXTZknO{jSt15faDxOR
z|8j$kAuBZurPsX~h1o&L{B%R*Mb%v<tk8B2R&*-UtydxD)%z(^+W|riVM00!h}|J$
z5IH7mSGrmlXPb;$NjDYfdzoHRCoBi|3$;T%MXV188rkI?Iu-S;0Pn>2WU`~K1QvBc
z0&?@)j8%xBcR;`$za4;2PVQrj!%V^~04rIZEGIx4en;kn4R5>6gw=wzwag-@L=8M|
zQ-BuMoeTA~oQZKjm;zjiW=kj2w(X&rX~8GVxlU5fW8>*MS)udqWk!1oK}qR{7}NW#
z_CSvutG_UH3*zq=x%rozg2yaU4L&{~Hyex|D0=al0z2EPw<MPK+Oe*F6tFtBTR6iz
z1v&|w_dIjLzx){GyHf`>rIUS-`25M~@>@N|lfFa2kCI%5JNx4BF-;6GMmWfwbuXh!
z)t%<tz96jgA=bbu5WObtYsSar+F*K(%@JqjP#PtPZ(X~KQ2$8l{>7R+_N<Hrj=n}q
zRf_7}f39y+@SaR>D-f5v&ofpyMt3ktpjE7Tn^&Om%aCDXyvJl7j>*)!mh}G;?vOJr
zNhhE6W1oRf#m~k$<gqKmTQ7mp*@PpsaX7bNq7#=hJPwE(;9?H(G>h9lh32gG8dc{?
zHjYZqY1gCfTfz+9S_DQoi+}C8wU@8{Pzf$mPzwkPilAe3EY$37wT!L07hCZf-0i&i
zO12Ut1p>~SP+#`b97uO(-c*Y=UY)a$vEtEf(qf_^IutHQH5p!Gu1fEEk<{xWghttp
zDP8CK>#8+ehe)*4b*;!1EfwEWUo85CiX;1xh1EJ1-Nu%}zRx!bA05A&!Z7uvRFnk?
zO7Dx&vF@I>Ak!J5A^33(rktQdl-4eFYGC_1Y*&(`IXDH!-l-TujERxuKtjfe&w=72
zj!cqT4|S3TQ^Ojwz<kVZ<P#P6#%=wwODdG6;EM2S6zb_QfGV5(J$&lW9HT<7@?zmj
zT}`TULFaFG8qJLl4XgPtu`Klqim@v12>(pC9Gu;2a+Y^JTu8D9SplvVoM2n~4F)N9
zcj5>nP!ttfXF>bL%Iicr-VpS|{KKoxM$YO?hmMHYFAS_Tk|=na0sl9C=!_>~EX<h}
zimp?c{b0p|TW;tKsynpUh8?2ROn@cYTBvu!Y$KsT;8D0Ys_;eRH|E8?h}^umOhv6&
zF#77Ij0~lSuQfJ*dMp7V=u7qz$F$`?ah6&{@P}5&2C#F{>kaL<i%{$~b>-CybW3M}
zN2eR`Q(?pAilD^&zS-`VqC@4_7LmD4A|~Ao<pE?*wklEZ>;Z_F)%eJq9g9Ez5~6;o
z72nNZx3kE(#;yg#ey<3Q8x{)X$*#5|)8+3?G6hbOfna9*PHToIQ-PBMPavGqO&Ey-
z6#pR`x>gnZNQ4?=y)hiX$PfHZDH>%V@oXVidfR<2jrFHcCQnWjQM@*&p=KrYp5m|Y
zHMn4AR}7Fb9X8kMW~|WpgkI8-t~=~9hjmmWD@MZ$OFgLkKUj0WP`b*lU>wEhazjzQ
z>k^%;55Y}H3D#B^PN7(VfZJYpCcrpa6v^k$1M_lL$0AzNpi&)+@eD9NnM!T?*Hb>J
zLOW(pMf?g$A*oTPkuLC3%zBo{PQ*I~gceRon&P4GfE&;skMlRELg(oxg3VGqpD>i`
zTgv=Wk|Ak|j}tDA%L_VPlA-&6s3NL5@S#mFDDq_brO;^9Mz^=mOqkt~Wl7w2XO|v{
zGNxOX*!kCYhv1Q&^M&DvFkbR{NDD5uF*Uq9;@>?A2|97Vzkk4ajlThjK?;O;4CHJE
zfBv`z60BK%%s#zA=R;4<LQTv;Powfsn-BIn&}F9Ulr_t_`sV6a7bDaPWe#uU%C`T}
za4zI*4(E`DgU37m<>=CvM*85s;CJ30K>W1|`x@9+I^wWxJ(B~N$C=i77eR9u2hK5@
zO)#Da%!EFv?a;S?sSvRGXewpDeTh*WYYjd%Kvy6zy*O>zo&L)wYvcX?W?)+FO$%GX
zI%SdCOrmC2>4*4p-!K4E-d{Zd2GVHTS!i+l+j2M1cIWbVw@7Q0O<2?Kpy(&e%GTGZ
z?@~WF+YDFus{YMfzz?+|v-596LTb`9p<&XLV+C(-LM&9COWHmxbxyxP<hK35t!iCQ
zY3hi>G%s8<&{P_)PGDp01Sf^|)j_ILAzR3>p5f-K27vZ&J-CchuCznJLz5Dx0pp(*
zfspO_<xI<8p9GK$%|pA$L$05Q@LNjqMx{M|RIq2?!Bx3D3ty>w+q&RujFHNqiTH@H
zcNj|h;iNeBMGQW_{27-rF^9y}xA<8MN`}@x_hWIj;B2;@`=C~S>3CMG?Vf;O5W4#^
zK4-tMl<qmdbB4!DbC6bz8+mYHFn`2qRgAr<>HKE@pE<tRI+?>JU_}}8sP`8O)umy%
zT{v_?<tym1&n0g-iwtFIN(}1~juijMO$`3cE~CjKKO5E*zAm@Lr*xlY>~J^V{G!7K
zMPoWGlZ2K6{k;cJP*Nk5f|zbRW~<Y+T>%(oFrXshS_}SYeYL|^7m~&O84@~Y8yx|A
z#=6d~-_&$!w~JZxM2nSC%6~Wym4A?01FkOo7W#G0Q^|GCw8Ac&)2mKMR^V-U4oVMJ
z2`Ny&aT12z>CxOedM9Gg)3C;)lk_N;Ku1SV!Jl0K7<$Jq7uwc=tcm3w-!^Z{Nxy7)
zV0j+^|L{d$DxS@^RWEfP>p-Q>yWmCUL=8BR*ONQtrpnk5D2j8li&7`d?sLM^ku*m>
z4j$#yJmiq3Mr<a&2}8nrZTqhvbk9V^xVo1IN#GHBYHkyT4f|Rxr+mjo9zrV0&M^A!
z#DPa(;L!Z;fHkObMI5_LLQ2zj6ryYIm^1->^AdrVO=4ZF;fO?mp@UrtdJJMq1f;7h
z1l(XKh2KZ-LdC3(CAV`r83l3e5AJX+;rq<~@vi&tfcX|$I`QvPEqwIiFdAkY$<_;n
zh(GQdBOyIBfsf;Q*WbZH_eXII9lClh3E+7FgTt340CG5en+PG?u=qO)^Qi6Gd?LHJ
zsPW)VoWnFkgmF8vgnyn25SIV!3%@bCap3tF-6(lq^VdnD{K4_`osIvB<npLw0sfaX
zP&$q@y?9=c?TFymLEW43Qz8f1aeGK)&v=uawiIoM?#K?{XT90pFt9*Xw>qU7jgQlb
znPo2#Nb+n6!08;)YOq;m_MtL;AAflIl<^?SV>?>GRER)zu^}ns0Z+8ZkYUY=`GXCy
z;_~O?$pG8@z1T9)R7Qby?z7h`h*f;G^^1QO&oWLai7-F8sF#h~vR{sr{l@IWi^cGJ
zx786V2^<{KHm((c0u-Y(SD|<eGYM(^K=CJs{iRG8x`OGMgGrHBB%+*d<uoj`O04lE
zY|o5s@0bo9Z!YnmGnIvw8>KjyU=i~}AZ~7O45bv%{%iaGe=TXDvWh=~y|2IKFLf)0
z%G(A&(<4)hP%bbE{yq{6-F3^K%U>~(a5!V|WFlIh%a?iB9lsBN?7RJ&#gsp)iD_sJ
zlYr?*--bNDcBJJ2L$oASWCPD$A<Yal1X)!iz&iNAoD+XGx6D#NEyv^5wWq0b=tOD(
zt5x2F5LN@J?(y!~<}!T}jm%aRkF2g{e238rt7*BO#qpDRDwrXo@yK3aJ{58}YmrlX
z;{zP6@jf549SNZ5*6CJgQ0J3&Qk`XaXlK{XTL={F-W%LiwLYGt5Qag10So@Yhth<s
z-Q-|&4`awu@GJn-{cXw_qwn{;W3=8?#Pov4G^*xu8YFQwg=*8_&BDO(+&-2E&a|bO
z=b@*w2dTA2N_lbeA+=fv*cd}&cLl%iWTU&aLCCb4*2J7~1`@%b3IstyE#ty4pSmxu
zl5ybl*&@_)pE93p8?dTxX@xk?-VRx!7B11~d}=Ryz2(@Fy;T3SQfDoEs2^Y2<Ns%%
z;#<jaVf?kHR_Q_NzYRKJmwxe-d>SDNs~`pOWfHzUqYbu3Q+Q8D@lwR=^7oJ}K8WSs
zD^Jl=zG*omjF2$|7D!sp1t0a~L0ZT_W;EGo*l?tA(Wk>|rw&Ymm}8SBhgQ5_N(sJI
z%EIOHj7!GlQ1^pgZziZ%iOF4n^^IcFa^h<c3Z}9Ltim*GAzTE6_F6x}+d@7ND557c
zsVvk7jExLj?*vCy@+WW`G=R1k?n|R0j#kelD$D6{6zbN0yJg$!2%R*6HtNNth)viN
zhg7{a*g1@n$81CL78|j6mvL4nl4j5`zfYt3+YRP~s2niNXSJI@kOGWXEo=Va?3fov
zMRZ!;EZ2NHjlB~)y4Lt50F7TE)!d%q)|~E1E!&Ny;RnxQ$$Zb<p)4WFBkcYTjgx7m
zg7kzCgulHdM<-*S(n8lW<#x2_uHkkk!b&8y{}SZHu$-@=I8WyRB~PkQ_ww@sRc7L;
z%`AEIY3<)`>a7k9)2tZl)bT1D_^6Z+K!$Oh%b~W6TNF-er<b!R5iC^YT{i{rG<5rW
z80R>Mj^aQKqnsc-i-HO_tNj3T5(4G%rTbPZ;yk^rb!MiH7wr2D_W_q+UyXZi!~8@`
z{KfQYn9Xjc?jEd;V1n@-$R@2hMb$bgU!+Qgdz}vB4yov)+Q*6DtAmK|Vv){xlOM>p
zX$hl#taioZPkaBBM9^|NzznGO3kNOcv<`|__;eBzO)t^d<I=bze(2ePtLDND7J_L^
z5B~eMK8=0mKqI0S!X$zv>qF<m5GMX?p=?#|9<yoNMnX3C)ZpNz6<n!_=@AN?XW7VN
zB-5u({SvXS{T`GTui`nSz5;q3`<671z3n*q(I8FT(R^tE!uh2mm(@WK$RSSWuy4{T
zN7!^SG4OmVCbaqe{seSq@c_SXgt^L<`soqB7L*+RL>Byo55xJCr2QbWdmU`L{^#v~
z%w*nnz;t(NBcpyv?5Y#VZPNrC3PylLKuL*hgQlRmwZA<-2_^SmUW@FuSRQO<j0c&)
z%@|$-JEv9Zus~eL$j0)|^w|p|na-Ly8YEytZ+1%zmpg;xnyV~YobHTjqY86dnETs%
z*DyoThpbp4n9yhAgdKwvk6G6@Kj4vj!Wxfv>aR3)>i9ik4NSY!Rs$sRStSR28MyTb
z(0an`!N;sa4bzuvg)-(Zm0Nd{uoF!;4{7yEepR7meDO8;CHIIA^Go+J?uQH3LjlA6
zU$tN5Je`=;nFCgDx!#N4rhG(D)vbH+qvJ&@9s~$IRO^rhEd=<~boi{0{wyLU{{x2N
z4pK^PlIy-o#IL@g@lECi14tq?m_!Idm)~otcAk}w{`6$$I3Y|Mp9$wcqSE6JCtK2!
z?R2pCVO#))ITEJK)uFwho{8I21LIUL<}BtXkM?q5N6ULy2(et`^hpp4soFrWQXBt+
zz$YHp^=s!m{oge!K_G+)D=^2?bzn8c!ZFKl9)A##60FGfPcOF{;14ORmOV{8?~Ff~
z;Bn=m1p3hiwysl}-4WpL;d4TLDrNquz;GBMHGpFvk0HGgc}H9db=LG0hP^^0qlE{-
zw@XBj?gipmYJn6kS;M`BQyoS>=4jLMbI2g_UN_M=dC+c4j_|rk3i|Pp7)A?1k9GZ=
zPp5r5{`lMQ8waPqsEt6YbW(EPv~7_hW#Z%wj`{|OA`>49pJ{<^ogA|+)tqg8#eH#>
z2qrwcEP2HM`yH0|EIR78>uVt88Z6?yHaIoZ1L<Z44l-O#VmR>CkTCVLpqj-~7V8J#
z6L*)Z_!k5UMkT=S0@d_K{&+4KuFzocP|#$$KHXmcY3a6LP9=re?Q(}gC^B}aK?J0F
z9M2IkclGujF^ndrSZ`Gao3r}p3Ph+7oD7LvQZ-f?TL;*(RfQ&ZAO_*Xe%6;rO8$d!
zJu**NnZry-)(;;Xh^jZeh<o$+FGcu_4uGhKXIfAvhzP{B1P>9tA%NWm4S*|^$%&+V
z6FP@bJ*^=@<b?|Fa`Lqbp0HvNAKL}<zHTKO$m9~9#$|LZXK=#G{QI~N0h9H<sBNaf
zQvkB~(@v&Bw^TS;)zoy*;MELDRdzePAF}r$gqV95O-fT`)gHy{in&wScD`{+tV?7_
z7@-IAju;GxI*?s$2*f&7jRA}@IUdDSy!;9U!)VzX^Y<3~+<_6+tXzs@LY<8x>YsdS
zD<RTah?s%?aW~O5uW_q_5!}tAwat&O{z2f*+f8Gj8ZFj_TumSY*2D8c2QLIU;ZpkN
z*I#z~HyF4siHeo|0ZFU<@5-!RsD5zXr*ap&B?ao8+j|rz^2m)<sfUxp%5_a%UNd2Q
z^F0!LD=gc!TW$_DzN$hKgRZjL*zqev>aOhm#tiB}4qPy87^^$1Isa0Y8*+f-svK5^
zmeaJ;*IBqfk5qO5ubth0*uZ}`rk>d;*;YYhxb_aOzcEvxkqh?)+wN$<1#=gJ$0>Ws
zcuOX^!8<9uRC1$n-KinB+)<7{^hG}8!Qa2#4W`d;CIUDhe%K93<}*aKjgn4meo+^u
z>Uf&JRu`;yEcI^Paf5JM!gnk}`GjZKXUsGm8SIA`iQ=W|f%?=>=Jzn_p070q;)ea~
z@%1QY!XX*nW<QSvae`Y!>~j@V6WAzl%1R}W_*(JIwkd>LTYmDR37&`-ctywjq3xs!
zr@qE3aWYX*BA35Gv%K^kqI@+1QK1<EGyTRz_J$PRtI;ds<Ns?Wm_Ms8?6*3xEJ1tk
z={G<CoH1R*B0pTWR=HU+KB87DpHvjq20u9yE0xu3$>j{TAa3WaWB}WD0$hg`+6x~-
z8_L$lUT7>cNUeRLq$%X2vl{!`AWWFy;FQsNV%ITe!cB@3nhx$^5MZ~x-_Db?&rILe
zbi^<{`{40%j$UY2{7-|;%M4oy2t8EowMF;;^{YDqY*%~P-Kvq6hzq}3M<jd{TSrh$
z4+W5raijq>q@A4GhGR09PtlvmM?gvy>Yog<al<^4&b#UP*GUW)u}VbRI}@I!X;}CT
z(MHDDS(Dl{b}cWyO`LG{w>FdM;rI_>eAF;r$#1mfR*UgL0C};L>Vynu$+7&SpL_#G
zdl4d?09R}-zw)N-yC1KUGlzm0ki~KLM9XdTxO;>@M2Ge?^5ALZqsSjx5)=)BXe1r0
zJxJ|mH%rIp8y#8?F+iwSmOLiqaGR{wm+(5Lc&|v&KlIvsr)upJB}^rIlOvR+2F9g7
zd*ZykaVoI4T`8m5mrlP)`N5?g2@FF8qE`aGFD}R7Pq%&9YHtVtQt;55kCk1HM=mPu
zyu8ve;m}}&Q0@7B#&nP`mmL?zwj4Ujz2G|!_@Pd!g=o-{DzDAi%Zf34d*wHHR+&+f
zX$0K|NxP9)z<`c)fkJzJR#2?eZg9~2E1I=qp}QfB{O!zY|8=VPFb)r6YdgeOZt_&?
z(wFx{gTUbOf=^D_w>)v|iUp$t@TBMsT>8@3oFY}Ym1(GR?;85ki*XoNk3>%=T8a*k
zj~XMDtWcK8!O%t)XZ@&s`lGtKK$xv6;ms5RmVXRQr!|P`B1k=09coCuuHR!THU`E;
zlPdrK)px@EDL#~Kp9DE5Jmo304X1SL|2Ks%`z;iGM1_p-jhA0h;$}gOAST1ULbXec
zUZ)J33019S9EF|#)OR>ppK?+vV?bFjnJ`NAt@nW87t9sUF|ytinci5I<8(?6Sv^E7
z6`TTTKk>U+IHLBO%PfMpnjcJ~G?(+ELP_;m)w}?C3O;(%Ph|*Y)Ze?c#QX~9w0|Tp
zpfk~gDJAO`IMmkDq5Jsd(CzK;ogC)4(7YAFNo&`4RHP*AYa$x4Uc^eflI9I~XOR&)
za=|3Qev^FxdFP;^UwRZ|wV}I%9&rus8UJ-wd%i2O=c~9v$P?&^C4UpbgoG=DO<?$-
zUHIDkRrC|c#-vf3LGL=q7l=2p6f-p%h0CbNp(`LYv>xF`MFhRt^Z`nypfGVqOR>yH
zAo^iJVjtt|=CPCpP=c+UEc0kBK-UFbIdcCa0wPz3dxcpszvdSnyvNxI#1epu4q<9o
z7mjetHqZOxn(lJ>9<PrwN~!MjotOa9rb<7F?Z{D$+nsiOc8?>a0I<jWhgiTgP_0Xi
zVh4l*y!220+ULN9->)C|M4Z;4b^5M2`dUwLFMDprW;{kJ$5gQ2XxY>Dpa&P`w!?~+
zBzA{wYCYs<U*ym$1g#WU*+>)<{ozvI2tCu1hXG77wmBEHI$v+X7p$dm8KseXq8<lM
z+=KaH59-5I0`t>N@$MSFn!B=?1LDhx#ch{(41%3h0n$D+Y`ikR=7}+HcehQECvr%F
z=&6mTd)Y=s0joPn#BjSvO>%RZ>nT7fhR|i_%MqvizW_$Bk32dF^zcht7eU?>Wk)Kq
zpSz9t0^?z5<{=YChLWb>>xY%toVGm<-;6;E-wIx$fzKvIp|xEwl;=Wd2oMX6sh?Rh
z(QY*wU>_^FxUTf*4H2bSUN^|gAy^=WoqO^+Z#j$FH6hamIX4n)eMj9=YcygWZ=6aZ
z?5NxR!1OM${7U1noQmZ(f;!C%Buz!fQl}xlt|TINXIFl#)jH}#QruU)cJV!};$osu
zIrQ21XnI%jhAi|yt^|71oilu9(RadVMvh6o^`d^=hkzB+u(t?+@+XImiQg|_X!79}
z_KS#CBMK2jQGt*x+Rn`vxni3EbLao<dp3%#!^L|T@~Z}G2N{$uJ0gI%?}9K~NS{Oa
zcT{NWMr^@o!4Fcl8G`1S60aV2ZgP}e2mT(&!~#9OW4jqH&lKLn>{ns0^7#^AIPEHk
ziP&tkH2gbUwdBE|H(b!AzYj)i!i+q6%dQmx1;@V)>8G;!OdnX_7Z15VcVyUO5Hyw-
zPzr5`u|tL-9Bqd+jN`u{Ng<q$#gC=iq-9JJMjg-C*xZ1_p<X!lm`>x!J<i%Z`E!nm
z-$}5;#fZIOVg#46>wV6wAcaunoeEMtH)2~Tk{t1r*;!=0^)d7p!?IY*5n5e7r~G%p
z&NT&mokApb3ohOU8u(FloDua(?%fpX0tCpmd|^c_!n^%Vlc?2$cSVD_Oj1cs^9sc-
zHKF>xK|^T}s8@8@%p0ktYsjTc&z_T*ZL3j-P`4ur_KgxSqQb<|L!|f(#nJ~8PH^Nv
zbiNn5hUUalS|Pv*tPsF780HNy*a}65&@Xv{uU4lPBuJr*+IpUw<C>eQ^_{-u*O5!y
zG<1%E_mnFZHhr)_Tp+Vuai5#rY2Y3-lIFAZH42ogBgR&!C_E(H_Q|!hg~F^ka0Au1
zeL>J8V0axB{<OrdJSY}9p9KH^dVBm=cPof#m&x~+jeaRz1{pxkukn&8?;?qHTm?o7
z<3I9DTw;jUZbpE;Sp;oFwL!y%BCQ_o9Nf=@HbbUoa~VC0Qu}~wV(9NHtrvR$Yw*`p
zTCm{=r}Id|`Zjv$wx8hbi9*X>$<9j>{Oc6Y<^W$LndO_j`XhQG$`UvkSirWTu<&0|
zNf-k&V?+x7N@Gf6QY-%;?_annvx*X^_Mi}dAdR;m0GVlz@7Y^h_wCK)FH0AvNT+<?
zoq`rl66a4!a^%{QJq2CM==u=YtepVwbDg*7Kk77mK=kY`S98b7ws7Mw2D{j~nZs3p
z*p_NWV?&WA&>s>RMac`lar(*N+SrvE?EI%KSLVL^zHjOJwWRhuXRpf^6LKpfcsx9|
zR=prQk8etC*eRa-%v@A`-Xp9wag0mRGklQkk2Xt=MuhZ;K9w9UvH(h`<!Dv2BdCJ*
z^&V74I;8=zU3Jc1tZbd5^7tmUGYIA|>swxKAKu|k2o*(b03P9q?AdnM)Hhn*_K)VH
zOXBvcmihOKPx;qL$+gudRO!$#g|XN-=+b$ucg^?NPGs;J^x`l9LDzY-1lH8gjY|sF
zO8dr~S-f|~4`-heFC-$Frig0yVktU%Q8BUbcIl6`+jIEMMmV#(UmUeqjC2YZy~u6(
z;&AUT$;6R`YeMCYSD|_DzRtGY@oH~O)#|wm)zaG#jSBQ8{v6p_A)xV<WUTrcXv-sb
zPZ97+0<M&8>#m<k&&jssc9mrQLRWGz@E>KAygjR{ZnVyWTl?t<p7y)2Q#?Aw%NW04
zGi|1QMmIVhTrrs!(`q47QlY9r%7})b&Sn%DsccoXwJS}eY-I#A9W;Dz1O=8dZz8t(
z%eC9!&C&g+1@5?Zi|%%DYEF%sA0qrd%|5%qkhiWv9~OP(6f>^ZG`HZ+=4-D*eero+
zo}rmU00rxsHK&TS=@6Kj!TFDO_8xRY%#ul;;CcBs5HSJXKA-BFGWqb?QkX-4$O=Z1
zy6VKZoz7tW?V8V;qbbicnI@hFd}S@U5<|7;&->jNq=#uS7wTQ1-Jt8che6*5k`v=-
z52nf|oRT$$5++~fmk5)98$ns4VZ84PMpZWeUy&F3wiYs4N}I4S8hiCoUu~hLsMJ%&
z4a&bC75L6Zxd9u3&TDrhi6fvjBY}~44=357X<jsCtRfEKvEQB_ejL<m+;EkMiO<pE
zvH5~u-f?##m6#nS?cNMch}}|Uni|8+T#cD1zP3Ite`3RIT`w2XC;0|YBlB?>C*_vD
zVZ47$S{T0_C1KU4HZI_DGL`Y=y>%r>_M3?M(Q|r*0(&VfG)y%1&Bu2_QGXkFr{vIp
z%5*}WD<3;sKu+a@w>Z!qAE!`%VnI1lF-ThTpEhk==f;kb3w;+R*2=x;J7rb^IADqj
zvv%CtdT|R4-t!`2&XoB?mKcsX%-Tv?p|av=qGM6feecVRC`O-}B4$?+EfwGQ-d2AF
z?+#ttUV4w8o%8NejE#@^TsGP(YIL_$E>14ka?mo7eh@|;81(-XOMSy?*Fv=T8rR)~
z*_2h1(pyg?=(qcf`FU1m|3HFcdc>f<{$vEo0D&{sZ9_!q(3gqJ*v-Qy%O3SI>nNy-
zyVVJTx%VDR89<Vy%pV;Og6YKiPj>vdk$k>C)J1zjgZu(To@t(>+$6^g<~rZSEk->@
zFvkx%M1rv_iYhfLSV=(}uagX^JzLj&e_G6K;wQDID2Mc>v@+7JUFvJ3?V;3wetR2*
zHA-`MBYLRU@3HAf)wpSL(v(d3$fWu~C|s>UL7h3}+Wv6Nzyv>u8BL4NT!^Z!p;#-4
z76t(&6PG|cETCl|_D6#B<n#V#XC}?75Yr{&*Ba}t`VzV$ftf|!vV&6NmbB2-?x*0p
zvqe1%r&AE|j%Q1Xw&&?bU?&&~OkRGtJKeqqhL<(mhouXv6BMhyo0q~4FFJOSnh(Qi
zmqU7&v&*{t)}xH;xJ0irrENiNM577|@%LNPgHbNHBoFxhSR&|;W{JJJg^qFzoF~cG
zU&qZ8Oj7>eYwvuZ#OX8{=59kE`LZ{9-R?ArLf)zNXE#nMk|9W1o0lJtu3vu{!??1X
z`R^c^W@-0H2&lPiPf%)$#ro&~zZN37#Ke+XD)y0SkA-wwMtg1EW`bC_<?MV1b+Jxz
z9fJ`gxSnzq9??~{MSVgNqg3@Gcbl`6aHXKDN4ESy;~}eBTtIUHx`=oTJSMb8hlQ;+
z^#iu1%&Z3CAbT)D8iNv-U7w}c6Z;}VyObV$2~f#Fq`9kij?Jgjc8Bmb<-frTNaxS&
zQcxT;JGhG*&aLSlp?f=If9ds_&m{O52Ww*VB62ujh!ui{W=~+IK_M@|r#<LJ)<0(L
zx;k?hPXN_hX0t0A5m=jH8#tObWY6D=_=;fdf1!qpW7#_OV1jbjA(d7TKF-1aH5|J+
z7hmT><gJokXcP+gg!5o8Q9-~%#aC$|;&9DBMMv-@QCXL1e&PRys9yG}IR_c-aXEAp
zZJ9<<Np6x5#xi-IL-hKY*m`S(O#>DNZzu9hzYwnza5&V~P^SM-ihGlcg|za~dmrBE
zla!1P36aTP#@3g6eHMi5?g1tx`TgyrYEe-C9Z=!m_Nnd*8C1x7415;f7W7~HqCj>@
z{-*+@Cd_USHY+T6g}`QZX-%l;!q1gNFi9?!XV>@y$NnUV!%};kckV+b0CpQU>B##D
z!vX!<j7k!_2^|@+nt1M(_s;o&TkUuNX}P*JU&&jl5N>997vb&xEfLH2*M-h*90!u#
z(h$MUEZ)D*L<p*|1B&8t9~G~~^vCrxmTXpzo4`;9v;tCxzLS-1x04Ot!2y($nwe+J
z*H6L`y1GK*ltiGFLtu=BxX*ZLhJd2K`FPmc*|f;21HJQs1nt4+%xs({;%r3AvSYqo
zbMua;LX7zs%^_Ik8GJPo!~2M838Z4OSw@A<Oh|5g%B3_YRQ5)YLcB8G`U$xO6^sZV
z4d+ekD?%b@gLNlKOFk@1PAEL+K>Ygg;w*hP*G|aC$F?!s)rZ6xbqItchLRPc?fP%Q
z4aXvqGSLV@f{iT73L}55+Ot-%6`gz6ot6AZGu+5yXY>NJrZQ;kR+eUq+m3;fBS_LI
z&KrV^Uv58OU3zAQJ*|+^js=%|Xd_=EGp?SyJkuwr?1qGep}GEgGcdV^$#iUc)-t>j
zWp5ezI)$g&%Dj-eOCIw*z-aiLgKcex`b`=<S$ww|`UG)!0Pduo#sj`pq?Mtk8v0d5
zmTwYtyr|FJNG*MjLI&ya^h!>PP6ta>u2;A2C<Q?dh9$o>NnfaFRz?+aR6|$iHY94b
z|G0)G-sN%E#jB>0%xqmmEK*7)i?kpiHT7i;{y@D_FeidGjIF8t^~h#G#h^W^G{HuH
zDig#bp8u#k)5js8=u9K+>-WfX9v6hL4rr~3T+N~d*oZ&+jT>G|+8#(;7F!xV1|r<5
zTqp0IBAYx-gHm&*obFpUkVNQO>&+}9u2#K!@Ya&u&uJn;(J>^$w9u*@|7r{E`U)5~
zSTl=oXm5u_)RKcra?&lg{o^Xv2Fc^iT<C-~7%w1A2t{HLcvG40=ktK=%%7&uxH{u@
zKVg3c#bRV!>OS;|`naF*^p4e=>)RZ@k$Kh4AJ!!)p@c}DY4m|I>}RsiJR7DDN*|XH
zm_eW_)X8CcHn{LX+;w)K<E<jzbf0h^dBGWg$LhC;{iGIBvit!ZN?#4B!iZV+jR5bd
zO<!R_t}gDF1CHFE3)gzjc6%Ric;u(~y!y3Ptyx+hdCIr0&<q|E^(##1jH?IInii;2
zT2X596_VBChGH?$V8ktk9$5{C#)hBW?5!;@YvgLdb_XV^cy@rb2Z#=x8@}``zx1At
z!2^c<`c0!lXSkH$lEXC4!b-lBrq8X7$Dn}kKs^nQP+|k9z2cmNYJ-fF@)S!5&Ciou
zQ2OuUu}k$E#}~M1mTKExJmVFgs~cXT=WnA<?3V=a3eqf8Q+kY6<{{l8<q~<b{+}mx
zH-@WkOBjS7rCiw&ERr+fL2zcrsoZ&FHGNgDb7g|Nl>*c*AF0J5JS7rHaacqe0{)j2
z)+57Uq1H$_9X9@xoH}xzjye&Ln09e{B6-0RI}0(9>%VAaTw$Mf{XYRIxer&t{amja
z4k_RA%`<Oxd;Jr&;o7}@!K7H2ju%8>5@30rjLJUmK4)H_!ESb;Uu;Jcqag9yZ#ffH
z|Ba9MqAhqEx$vLgPcEJzy^(xsI0L|Z`kVtSY|OR#qY1E2YrP1cXrqet*fQkXa=%G$
zrC7LzI%!(<x01qZJv1uMJdkt_PsloF8p|S_u+L1=q3Dwxs2W`!|Mfg+|7yV!c55-h
z(fNtWuf9BU6B%(4hglLKj=|1t^h>yw3*1yJHGgQGA`lXGkAp4Oj0``}FJ;N70u4Ho
zAl04vP6EyjIvIFP&Fy%PR4oRNf2X^xR6W!;-{!~-N^mzomD_kkOK&?3F<mcZqFOft
z&Bt&X;+?)EBrnvA4%@dmd|Lshst$w9Z6X{hZ?=!W&Cnc|3xCvn+li$`AYy1_$&PT4
zxTM93wGjFe6Q~gnZVW8>hCVdC`kSxkaw4>lO9C!U>PW}khOxX>`oU~<D_-A>8Q=H6
zPL96Io6g@rERYIA=0S=8V9BGE1osS!8rkS>3UDhje-XR$U7DSL%7du?l!kYvrVqpY
zYju4|I;hi=VGs@G;mUM8@@LRLt-a4J2SLL?&{Q%!T`nP6aOMpY76%9VWcPoChn0N~
z0<adfV3EWf26p5qw<RFe9}0W9dq;GmHG_xV<&9=%-{7#Ry-YtY`He8~vzJQev;gwh
zbv>aHw-bxR>y{4iPZ^0}cSwgW2NlDDsg8(+(El~3X3#ID3gc@jGj;8uAU?dr7akF-
zv<<2LHaWUgRzRBjGils#9gMlabAk!}_Z5!A;PXJ2@1Isy3jEg8gD#kHGr$X_l9pDE
z)_Je2Owk@*7wWGZZcJh__o=Pp{bcus(@y6t9_>pv47)lETvvkNNjtQU_EhR<2LzY1
zAY4%ir=CIY&r`KeOq)V555#`rhp$u>S1UrQJU)0GPF5{2m>W1*?usA7^B|$jsq28r
zIX~0H@Y4`M#@2yRsz*N>@@yOGNjEWW-g~Q?-4dzQ4{j{fC@g>B`vf2yYs_*d6rgli
zC1cKgc;TL!r=O~|)F*j4S^H6B7iuuMAyCh(X$15c^Z_$N^LbYX6t&3(EZb5&rNw+i
z{C~;G?qqX3t5&1(jrw?r<CfDd`S>^jfa)YdgH~4T`kA@uumq{y^+uc;n%hE_!`KJ=
z6O@f0#{Mp`#oZ(4sB;wZGRY7@$**h0jkWG|rvN8B*5hULf!PneY+(a=PJ3#b4@?W=
zT(r?oJ&;T3HD2~B6o|3!22ixHEickk6tdb|v}tkncP)a0uH^)Wt+4OjZ;@(42gh69
zRP?BkaoE$?y^FT2&n^~L`{f=;D?1Zhh1q$l)U&Ew(bY<0wA~ll$xg!fSh*SEvkxrd
zod&w}*o1vmy#wg=XiGuXRTbiY^RFuBO{;Ua9v}$;fYECO&CM-~mi#f<5li$$G-X+W
z>8$PJ@|}lOmAYvenC$^XqzBLnzl!Ti7yweyeGhzUd);kUA3O#30$lAYIWN8a#0b<+
zfGMI@F>F;yJY{;8ptc*O(=K1vwYwQ8KLH<3TAh8uc5<zzI1+w1GXFoPZR=9_$7{$F
z$J<r<utVF3=4)3)&V#}U>i;IFn}guxPF&}y;tE)Wmzj#@Etvxgj$1fHln?qxXAK&W
zTj)k`gtXJ?%r9hFkIbS30?cz@Txgu<THYB$4#RT3%vDb~td~S3FUcPlp|oRKBX<#y
zTzgjbcq(dXOR9;Ziv9U^{Tp-h%YTN}9U7f6`C^CzO{f^?TT}@f*_rLV7Zu`G=J8!}
z{A59ZG#5_0255OL-x^K4#C8hP)ODdmWj^tSk9)=pClt9Tk@d|iGdd-U@KL#ycU!IS
z;pkWp7T)e`N-|4w)%Z%(O;YQ`)6m0uY+}))*M0n3Z)=~vII9O;NObI^GH6d`_qSQ6
zKJzCkle=%~?h6KQ<)j28UQ5P6BP|!u<w7s+>+%M_f$mM~$Nqb3SLM7rd8P#A&U~7H
z;{efM=WJ!XYn`4N_iwb6R}p{l%{@PV)tw3F`f6SEnftrSOttYxU|-_%1tMwK{M3LT
zB7%8KOP2J<`ZLOpxlf=5th=x={0L#HmQ)MJCnJ+ySG^rhF`HYTZQxh%<s&XkFux1y
zUoLDC4cy8VOT(k3SlV}A{enzq%x*oHsr|G^nY)eigiwr!)r03Pn$dDgb1Ka7m2tvX
zM;)W%z&N*Dwp)u#RlPP6s7dXo>z)IIQSAhf<fz5R_2HmsS@q7jM?ylxKfyJe&44R>
zHdI%H@Ocwq_YB4o^a%RO0i5a-sk|T*dT*}Cg+#mJSeQn)_n<__<IzH}+-4BP%I@RF
z4HUk@rvp6yb)<WZ@x~|)1lXWsJ(2Fmz=^D(@j~L3$CN0>W~G!1Vd%liMF;y|bYHe7
z5w+Dcr8wByaTT8mH9vEf-TM3sE<&2`sMl(6s04fz=HpO>86}B`#%-l+DhNL?YBxR>
zLf$_|*PS4f3gk*_0|*ake)p3twLT{c!eb^f?OUOupsMDywG1tHvm^|H>SNzY#B+sc
zr8x%N+CngfArUq#wQRE(ZJ2ro-yvvPtXte|V4!jOi21kb2d;I>W2;jX4IrYTQeM(Y
zNuO}xM7b*Z4s5*3;Kd8YK`XT`7SybB6$BEm`AGH%1ABJ}s`qLhmCw4wQi9<MDj=r3
zq_A7Mnlp(4B5^q*u(u@TS7rEWObf=zN+4zp<r=^Z<M=s~!?qa=!ehPyJ5%++MJs_{
z(vsId!#UY|8>6eJIUIV=)gezTlG3KTx2}~TjD9I|uI5LLQESV?*?Od%6zf+Mvqb(T
z%lTorp0C_-RC3Sg+QHbYGiOPF79i*OIyw+!fR_9SfyeQN9QeNW;ti$+muqO+2~;Z@
zg9?}IiIekTb^2ko6YF2oa&XlSgSo|f(cGsHKh|#3LMzH`kjhe@HY2282UY#sRd8hG
zF~`PIZimCg2^I}MNC)en>8ek<4aN>~77#4<b%rECmsYOTg8Q(SST)GX{H<0mQk3dS
z?mhr3i|)}#Y*7HFP+V*Y4V&t%PC8D@!8DY$SE>0uZuOu>QujaqctRnWZu&9kXY+>S
z7myPQ?gJl$6@x!LT58YcWlh})3~ft9mvq~1)U^kt+ot*K(QJ|t7cJZqIj}R#AH=)Y
z+E1pKV@ogr`FnmQJBF<pyoyA(a(4bArHzOs%bG!!i(U|g1dc;OP>wXl56Z&@fzG(!
zI1l@bgMuqS9xs{BbvO$+wBGfKOP+_lopVAFlWfrCl%6fTY$0~@X0kfT|58mS?c{aa
zz@KI*e&k<^R&wrcDG_VV=@NPp6?5g>Zvu~g)ClK;{4P~OY=|tFCByl!3+Y0|R^hJs
zAy@e($>Dug$#Y@VnOKW=re3kyMl{rIC#&T*{9StM-BD}u2y94Y>6U~#3F0tOoCr%M
z=p^7U|8O)4J~I-|PAMDA!Dz$XZ@*Chc@jf0TTi%Vnw$>{<my@!tvvL4c9NWS2d?pF
zZvqjYmt`cpY66-8H55Wym21cI+1GGR^FPBmse0+=?9HcO-C1qJqrjlkeK=$c!5(?;
zCrL%FpkK6z1W42zV-pgO=+VQFLXf$Gx7{zmx^X=Q%Z49~KV1$v`D%Vh?`mQ74|_V$
ztExP@FHV)$tZxWHcW@*t!Q+!B^D1Mj>RfolHQjjDyb-fWJrD|fntVVBTsX}svAT)z
zGr>>in5{Ytt-U*nRjzv+u<({A*8UBzWb*i~n*N}es@h_X`}|{5obVm|?O7W9HshHd
zT>jD{PRny8OEET5WkM@DF$+`W?d6O8x^bt=taC(n){7WI&(+AfctjhEB)ZH|+e^?R
z^XhjI{EKn9V}K2<KG{yBZ|HLJ3ikM-nWqU>ihvA@`KO3#HlMt@R*8Wuw(PqOL;_Q}
za>S+sr=IM_>s8c-pqWAf%lna93X*F_mJb_eZ;6S*HSbR6CF-Wmcik4d?fkiq<oyUP
z|9=J!qqP4SIVWi7;>1H0{65jfHfCt0!cezr-P7U)#6v}Ej<*U^FTH!6H*O3J!m-Tm
zf&-uM7B6j*`&&oTsAmm5RP#M+j8C?rh+0O?)$*jFM5(3DOyu3I81hiRA9Y{8u|^vs
zErKjXMTL}7sG@j4dfMH>Q)wmTE*q|UF*leY{M@08qc`O$s^mcgqWb>;Lfhj?lHJTg
zbAj}C5hBsOnJz|F9^K8Xk+)Qn_xXRO>D7^ltu+W5c^Hhgi^z&8X{NWlAKPB5NHWsu
zx(N_<C+=};%5;Vp<=<$Vy#xFeNXan_-p)$x$+gog!sm@NXtga|zv^C<D;kT>;$am_
zZs}hbMi`cDW#FfU$^Af_Bo}}~KMB9huf$~h7t@#^indKr`RE>BfY+KLb<{cFK7FU=
zj_wqO@mMTefr&s8%^`((6tT8-)wbRCpNWCme*gzXom(~^9W$$KXTw2LoyUl#aA0r<
zRImtxRj&N#a<3}motB%W9DMD8Ka=!kKjXq;9w)yJ4VO~R{QiW_UQ}9IazX-wr`@&X
zaeXR~q<~a4)u{DC7c7L6OX`?#6d<bF3)$jJ5vAXq({|9L?v2u#fA2j&EfhJZ&3a%p
zr}Sgn%ftZzHj@sCtsS-1aCv&jAEm6N)hL21zh)4uK7OD~B={ol38p!i{4=?zst>zg
zFORRk!+;i*UIEF&Y`XtmRvrDB&sb#8!Z#;<H|$qUU#Qc0<dI$seJbTGU1zZ^t4zZ~
z{mQd)ZUQX|?kGq+CZ;>G>w_3rQ=8*-KS${hWEGW6B6(V{*|nt&&vs~P9C8f`>fw{B
zZ!jSx?YtDWy8{zl<M=sM$zfdkd#K7!z25|4aXhlWQQWnz<hrHJQQ~3pz>3$McA;U#
zKQNhiC_joc$pGGM;6Wkx>P`pNRAv8`IGdAqAQ;0R%qwm_-&=;GzymvlZkyJ<5J#2;
zP-0Y_QpdT$Q|&dM>!x*Qb?@*q`Y)_Jx-TA#<#iUvGdXp>sJrDqT7QNP%W7H;f6F2>
zg_uUAKDPQyqAy`*nI##n?GCij_&XBw8jiRHKSA*&!V2j0_>An(a?<<(-2F>@+oFS|
zTh4Bd`$C^C@6k>q#%<i<wvWb^P#}qMm%*5^?7_V;Iy)#YEp-lK!BnmakJfU3_!;%E
zb$j;F+&FCYIBhPw<#D&PLs!#)XV<E(KTg}7E}QptGRh~yEOe+L-!%67X21iiUqo@@
z)FHkN4#JZ=H<S5>DXm1sChwuy`^jafxusmYpD_exY&9>5Kdg*c4Jg>lP6dyR4G)#k
zK13&0_Y_)DQ$gTgEdLxyY!e(gYyQix&~#o7)N}37&<XBlyINV08C}?o(PRR7c5J!d
zUbH-@GKaq$=3o&&Yzn*VG?D@L`R~Bq82f0D6&B}kvSi>d@y6e^fDuqR6%L56;b5#0
z_;N|1(&D?5&b##1oL=jZbqfUu9SaFrN`p}KN^~oh%-cifQ57I%Feuo3RQpf+r$QzY
zdn*Vd?K+q7uX!)DKw-X1$V~RrMFt63ZpgvgqwTCmbcLKAOd;$+TXNxE%f1SKgv^!&
z+}9K_@#2(1^+<*h%;Orr<$>I3q>Cy<7<qVXa(D7d8-~`gs~xPgQ=ASwMjRL;I#<^q
zL?Ib9M{62iD30I&fm%3vK~(POMkoPHKP-JQv(My}(1oZ(c(JYCo3M8u<`%%~MlyS9
z5v&5}5(mzqnvABb)VHC)SH9FM)`@<sB8WVZ>`#(E=LT9EDNOgqgIYL(r@3H@ZN#}Z
z!*2j%C)brTeFippQ~eL(H_Ua*yhrUvY!LNv3&uZ}l>(vt?vK-`^w%1Mp6x$o3(?Ct
z@K)msvSlRQ6<v9B>(qP?NqTMj1)Yc)m~Aid;{P;6(kCeWn^`&wT^)x%2Ena2eb&G`
z<ps9jtZ76P1bKKAzC$4g%t(OHc~RK3Ll=yGy>jW#k%(qob*o2o?xJx+xkSF>1LHpr
zF@YKJCgVTDwEUqzjt|c+r*h_=#zO-5pxBS2g-|qg@$?ehD!PW2E1x9u2SL3gemjp8
zf*mcMtHg6yz@><#v%9CI&hK;ho?Uq9^J(`bIBL_7r);WgS{uBPWW=o5WVSzH@;({0
zZvRHG)^mckA%Tf9CfXFwHC(Os41TrW9FF3R^6r5Z|9t=9C!{7+cQFdB`prIktw5fi
z&G#55^JUfx?~&TN9hPw7p4Ea`cQmtp#9H#35o&!0&$bEN9@#f6aa|wjs;5vPXh0p|
z>+#Q}i8J?0cHE{=Xx{x=dz&dZf810;J|;5iD2T&^+CunmqvP@?PRXCDR&A%CkUQ17
zkMleM<<hmA>7F~+A?>Cl8rAAH?$$<|2;Jjf5(Hk`W_Gh0O6msz!4_+-!H(o=ZpnJ-
z|L|4AirM(5vP>A`pQq<fu%7L=T6X(Xr6m36a;sM``7ndXPI6Olyk>fjoI2R5(6h-k
zPdF(axeV}8AtM`dN23P}4#|N!ISh@*OY@K>{<Co+94<mMn4Je!-N?q6Zkh=b>z7R!
z1flefYXZnZMW@PU2g43<6I*uSwnCBaX9@+fT2$Hif4@X<x?rDVGwHYLcGg5odsyan
z{ni;dGx*PgwS1BFzN09dOoYWRJaKWCd+L2yTb$^?1_2xbNY{0F$QX<7Crm#PE5AnW
z`GlyMWXIGc@Cq76N9`MiY!ng)l&4*G%b6}q+0f_MDis}CP2$gMW#Eq9(#Ix6^4D+>
z8y1xy;lroOKQ6j5{JuwNrVqA(^+$TntQP)3;}4N{3SP^rKA%;O%BC%@!kAZEWsQju
zA&qS*&BUa;0#oLdVOdbUiC=M`2X(638}{qAtRP;f6-sg4tLkN;!FF15+o_M&RyEep
zOo($;G^uUeayY6+-SBj^2Ppl|6A(yrB!4klGuP28&pqVT+vEX_bZ=Je!AddWa9I`T
zK2y+T&-c|JJg}>308zNdojRxH{fH{IaYMpt6V_(Uj^xDb4!ghbHSRo=IEbLEVc}Sd
zatG9g!}6e&WF}(=;y6X6`Ar|W@~bwmLXpua_R5S8>3-G#XgfvtFY~t*-0qRHKU|t;
z$=ZW50IrYBZ*udnuCK8~*nZlr)Tc41sX$+QRm|HRoW&txla0|FsnVv0P`}tdkIEaF
zrzI}U-Q>AOBt1_sMZaAkBj4go@p7uf062077*D!B1y+j?H!5<d(rf;B)$MOtC?J?;
z%wIDw82S;I=)vC<T-E0L4*M%ZnGsk`H~N&Mp|(>-gkMl|#cnpM8?-^YDhST9`>7H$
zM$3cAGZ^RT)K=Qg`x5ZQ$ni}gN2cOPK+lU4+1r<EfpmyWV<{qMuI>IGrq02w^0w{5
z*{+>!?QFZrwrg^eJy}!jY+I9U+n6-jp6n)ky~pu9@Av)-`}pnqUe~$SweHFnjCi{v
zCG<X_GlUvG6quBJ(fdjC7`ceN;QoUd4xm*C%ola=-D(Dugra{9L)K(s-!6DLsIpFl
zW&Pu$K`>X^lx@#Ert&i=T-VTGSQD5IqXm*hE0x!3#YSZpMVzq+vT<|PLh88=|N4}M
zD-2_%HhO%BB?Uv|;dO#;Cy&=-nfz~+1mwu|PH=Tk9f@D^J$_`^@iJ)oMHzzXdkU9L
zpTQ?7!Q~L%$+Zh}9(kxg$JCyJPtDpp)=$ZV)b=J<&x!<Cr!(QTIW9HNb829UqDqO}
zPoAtAI`^YSeFIFC?tFYi7zmfzckTl>BBuBX4QbTnfzcx2qmUeC_HCY2a;-#}Yhw%>
z-jUB|7`D^lC2FlEk(?P(Lj9Pr?fPE{u8rF2M3lCHLvx`v&PTx#Z|LAn(i4Vs7rXrJ
z&g}sNV5WbOUWn*1T0KUs;td!b{iLl{PaI^rW@-DeABsl9`Cxzk^1-Nr0h}##dNTv{
zC4CrgMZfh0hkjc(7eyYNUwq0X&8&E9uJ}_q#Xa~Z?Dx8<lFz>&<!L-_xvP?V;d1Sw
zaMPh@ulYx75c@zOGlt}BjVL_z=V`MDYn~<|CGNO6C?o-rJa-nZzvnr^nl*iWrKEOz
z@SdKc9|Z6;AnZ#;E?RBawNf^3wQy3vM+5srP(KzD*6vD>x3+D|SDKESJQ3%_O6EcN
zg(T7(P;Y=x(+k~gguwU6HE@53#}!=%QITTZIG6DI-7FHmb`!bTu?8yK(YV~za)mAT
zR2qL62#xg?Y5;is`onj_4IGGB4kcibPV7qC3RTZ;A&YY0sZ1x&aI`shU3aj=j$xE<
zCGTD@F1T%KPt797PWkVPBTVOu)qcV!^*T-NLwi1C`o}!Bu6oqQVDi$15a9)>YRy05
z3U9bAS08CKaVzt9@q3CuP8XGd3Cp+BEcA)YeC$*8d6nDp?EW{?H%Sp&q_}HbSZPzm
zs(^3UNZQH6I|9EFR>gi^s$i#c)n7y^EIZ-^PZ}CH#TET)D8<%zIzv#0Z)MEfucP5Z
z=%o$h56tydy4@$14LF+~XI=&ZV-Z?T^YrOHXZe)#2XQiI^GluR>B_~6TV^U|!vF@y
zpvElyfCy}x>D68LbkfIQQPL{COSm%tIo^Q#{W|*R#Zq3AJ+5>`>x;@w4cVy8Xqlr(
zhcSaHXId!@U=Gx0bs%ycYX08MEGZ{<SLbpm@pK*p;~YX=PfCeoP>%S`+|YcYEx(*w
zo+71w?^Qg!|9px_xUEV{V#g23OTI?q@4jinyA*fm>MH;DHe41);t8kUJT)(QYtD+)
z>gz!`NS<W<LSCS^=6c4yFLrt3NVhq=Qi<i)g=^j#jGNSsY}OH#DW?3dCg+a`UxmC&
zGO@>hy&4p2`NxR`V4LbnE(n$Oc)6FSTZr*TjS{NpOP`TAS6?Wh4@0=ogX&~5<^=mT
z?I*^7Y;RFTrrX|ED&t;j-izt;zmtvPEB`%4>QaPe%pho@`kFpDzdu~BNE$Mu-L`J>
z#k$Y@iVwTwMxNsD(yRHO!a=LeFYH+y`3Bhh_ZD9Rup2V7(vhbZ5*F@?6ei`1$Q2ZH
zVywW07g3}oVF_8tjXU*fCe1y0*3D$1fF2voYkbEI&tYYsj@gTP!O)fyx%`gaQ--nl
zCoI4BV`_`Q#)YL5skRa@X(dkpkuUOfl?*{1Dg;+o#TjCr_cd-_)g=!Jd2Z-Jq%(+4
z1J19QH(Xk_JhVtK9qf&54HvC?-W&u(z!kLr1lh>hxJY1+pkrcF;m3@HM1pue<I*v2
z;{q(D(*p(^`YItKqTkn>x_2`-A+9Q)i_$jW)+^jx-DRLuu99m?QX*5S+o~U7t)$4Z
zzz2pxhG@f`8UFBmDKaAev(ECPQ>?<Z{JF}Z+T}Ai0=Cw?;Q{<kCT}m>dTl?$5G^Or
zzIC%=Z!v1J!3Z4+hMUt?{&{Bq_s3?%vHb0c8ZsQDDTCM&UC{>tSuHX!DN+l*eD6dN
zDlD73)px}z0!_Of8Oth_*NOei@7RCxij12qk}4U@&c_@fB{;i~MBX?72JGd4tb&55
z`U5GW*+L|TU)F-M40gmI7uH*M58GI1i@G-fp_|lML6gg5C%(b$XF?97h+xq5gpX<i
zE9Larv#M^jeV4f~BeSW$<4<jWdTD`#(ZU5*;%`sNe8uPv1lh|y=zf50<Q?WhsEFK)
zCDX$~S9>+dI#es{pt>YU7=`>DnRMy64;O7Nb#t+(lKsXToG8Qnq?2I+gZP~oOH2Ee
zM8>|-;Ew>fH#HNfI|<lK1>f;8fL>c{h(Z%-f(biV>a{Oj>~nH+Z5*Y?^6E>P-fEhZ
z3=nx5K66&6qFT#7oaZ4IX=vHN*m=jZfR_WyK;J3NoonNZ|21RXf#>+_d_vZ<+h{00
zVkbrDdudJk4@@EU@S-+|(mPgU>Te=%d5!B24E#>K4R<wwObL5d(Dn?o-YXN_!K|90
zWODJDoM~H^G>{f=wn`n!vWSYEDRYADOdA9)7!iWz(BvCwCHj)JK&QmG#%EmtEOjFN
z7+9}XspxU;cfX6CAS43D%Xo|CAX)@{akg+uMV5GLj*8pu>z#S}BD3@<1LpB#A$KIo
z2$<l3<dLfK=;ISXQfG>Yl;p`J#oW)3Cz1DrJk1~B^LLuQ2OV_#@~S*4e&4%_E#k<X
zWg)CYJG448D8PCX7NBBj-(bE&e}1$_MB9;5%UKWnLZGnzm%EGgq(fRcE%LRP7E%WY
zqYf`Hz<JB(@sn?WX8z#w3$BdTr5-^dx2Os?CFi7*Lnf^V^kM3Nu87kL<H^azha`v_
zR;A^tnhrpqoYAWV6fmS0kadnUZ#1&6oe<BXk>W8yqJHYW|4MIM*^m4Px(TQI%$LFd
z?3fz7&}(5Z8hsC}FSE(DvE<t|tr1o`Mt3TMAJvgz0m)D-!Azhxp7W%7MhouUc!Q*j
zlpMxF!ztu3x?w0q9yDONiZ~}BP5`#%C`F|dMO%M@z_@V3MUVtYJX|#Z`>7iPXt5BH
zN===xp9t;-kIdHtFobOjVxY*SDmv~U+D3TqKJUA7l9nzyCv>-!aEA7Py$;ZoUe0H0
z`G7msW?U=Wz@mQ$G`ZW3(E^8+j95XH%iiCG!L(th8$kt3U%?yRi#lw0$(IGNF8Zyx
zlA*w3e+fBl6W`ynnckIZH`1uAlqYnuQT&mtjNT>U(Z=o<f4stcvRW%`bkrmeuUDeg
z9=?upkFKUX<rNVVmA71=d&vUf%IZ<2=7Jkxzb44u4rDnLWI<c&vPQjy!we?zkS{Dd
z0@JGO*_W^R^oPGD{}Z36!@9oNhZ;o=@M5W3bFf7f2ZO0zyFe6-vB!rEeNKrAwrdYd
znAdN+uo7yEco3U9vKrMQS+I^4!2z|Ln0Fm<6k2{)Y`{&=P7&DI>T2P)rlZ#VI!36N
ze8$;<H-FQz$<DmymwBD+t@g2AfC8#qeVs+6MHfNj`4o5G6O+4Xy09~|I`KV@kBd4<
zore%u{R<m(g9_#rS~j?_2gnUjfxA5=DvqbnGQY|v@w_>6Trd<HcE-^!w)&mbSM67r
zOzl~mlWpuffLpuN^|W`$8F%0rVl$NH#1UDeJmHt)0h&2Umk-3a!2%wFma--V&wBb3
z=5NqM?v3p_xC)TDo9^oM6(8}++G5-;mWA!nIV8P99ZcG1_eOi3GxRS+%49f?o<1x~
zwgIvy5<kRw8g@MfC1hQNEOQD#Hf=Ls0AZ54)8n<HM8TMvM$rOyw7q?%5~8!^vMR(I
zT=p69>#cisPeSGv1_G?DrTPD$tBBICu8+ga57aoO<-u5*Hl(AD!wMrFLQhAo2Vuci
zd5V-=y&fl7ImW|D-WjiL4}@aSv(Q#+2eA86ryct@nQRkcQ@q(KXM+4Z5p*$-Vc%C6
zLL$TD>3&He|7J_e^5+hfgQp;=wzW}h|GkSqHFmC@;G+|YorgE^9vFk@X&zA4Y2z_F
z;V+<@hrl4^|0ze@_^Mx18!x{QDA--V%oP?FRpP)OtwA9-q8RY4XB@u7jLg9S8N1*m
zz#k0uoa#J5!h7O;3;}3xG|s;xZnPwZh4Or*XI$sm&BA@b2AS;cmwaggboH1gu-gFp
zGvS`(vBWTSJJi0X%EFCUMy>E1#_L0_D93?5Y$t{J<a$gO*EY>(LQ4krwQ$Q`@8&pa
zd<=C%F0aL%V|3`eE|eHR=T|B|4S9*Vp~=Ox<Is&i)dMtq&zi{*w#o;vJAH86F@&8u
zkR)TUvi_3ecQ(h7{}XYfZ2sk6mTC~S5@k-ZO}plr%}b6;1NLP!mP6gHJ+kK%B!Pct
zAW6FXwiouUA?S0@iWI6&A||NkDq`>14r*g8O8q`w-?%R+o`q#8(X7~*cS1($xVcWM
zc6SNICO+HVnNL4hiWvD67wRln6l4Ah=gL<ryOBDo5`cX`!e@SIwtCt>Wh~zI_T#+|
z9G!XRYigwAx9L*{kqDmk+JbE?qReXkX39?V(asGYIm-#hjneo4$&P*)q8|I~zfl>#
zhN;nX+5v;izY~mAurKCiu#QW#sg{N4Iho)Tu!_M`B~kW})oB5F$%D1m{*$kvTY4}(
zhnlaDc@Wq2_vL1i@LrQaC!~q_gB(enJI#UOoO!Jc+4jxEWwpqsE_>#U^8ny$N=T%g
z`nc&R?Q(><8>)^YQI!gLMeh);lo#pAu1Aq!5=*;sNA>bH_=fehX6ZAQH{IH095cD(
z{kQ4fkOPkWrb>2JQ}(2!WA<!)u9kMAFln_C4bPdP{~g|OL7rX-+>(*I8b&fR18#>d
zar*%y8ZsydsMRk&l<+fa{^oApf$vF?Di`=C$3mcMJwkf}1DG^BgQ*2(q2UBwbw&@k
z`!dp+bfYF^OgSil8$`D_U2vAz`H}$Y?{-hb&yi=+gESv-ovEnmnbnEiU#>Np-ERW;
zz@{KB_5MP`1bil*t?wD$sh2+uFRSYxfZ3cCDu^7U{StvM-@0>t2|L_;V1Ki$O0aL>
zBER<-D4Nf+yUSMp8l<y2`%w_zn8o3P!^+!@lymZ9v@#edTqN>H>ot?Ukq1d)ga6ZA
z&9UsN2}Y@S)Z_w@MXmus;sa-BPpJ&dK)}zW;JP)SWXn;e%eZ%X2v6HD651oV!qEh5
zr}Feb!%|nerRkFB7hsL)h|9i%8DGix5Tk1PO|PD#6f45=hdaW3YR(B#E-jezLcLax
zM@~4o{P-UYL`yPVbu)RWN9^ZW>#mgggX(6YppZX^EoVa0W8c4EHCmUF5Mc3n7>EtI
zS@>*7RD&^?>4s)vk3?Q8iT^WPVpz%)MK~ckqAS)SEE_nk0tocyukxCXG+Y`DuV-rT
za>IsW&sH<%ypyq<BHPva;C*nq3!G8QQF)U;B&aGZa+o%QZl_oS8$_p(f4b!Ql10qL
z<-DzbdiGgGH4x+sj^1$L__dGVz*UC^xSyA9tbxSNhqOH*lFI8d6q4gFh@*DnPIWhC
z5};iVmO9EBDS^ikFW@?q6%-O-rBM0%$99h_9qY1hArC34+S8g!7HC4gr_EO^56VE;
zUuv&7+j*edk7DRm<y$jDEqGsyZ^;ejdOb4Efgx2kz>QJ3;rA1*e1S!s|B&o&y^~H>
z>8}q_eM=W}BiYNlRXqXl0D_*!Ce(#VWVye%0(o_q;l%Y1H}I69n14&oq+I6I87W21
zag*v|JJNWOn)0#78U+BK1q{0*sm0G7va#K!U#rt}Ei_LWe{n+o%}ohyhf=Ys%fT)>
z5vw+XT#}e?`IXVy2NSBayin{GYBb*r;C1G1$gAys_P&bC4buO{3yK;4M2rdl@~t$v
zt-j49fT=1t{Ug^;2o3=>N|r3E`+Tu2sl!)|2ZnXW(792-8=ZFHDen}`oDsM;c9Pv3
z_?<4}8bu))+XMvi;v!uemGy=<r4zKBd}ACdY17Whf~xvgQXA|h3V7Pf<B~Jo99Vtq
zZp>asoS!i5x9yrsr{rnX_eQquy=mc}-u+s3dc`{Uz&oywST*fuNelAGRc@(c6uQT$
zTR8WzFb!PiA#O*Mvprq;Q2f}Va(Y%)=3(G)D;Gu@^m5u3ZX)|-Nu!~{&lfC9LZuqk
z6|7dWpQxzKLC2&C)#_pT+59O$;Vc|O4+dd(ZvDYS`!1Vx9dHRt4n;rbcG3G3u=!2n
zd!=OmY`kge?1(fL^9j`7OQC<=pvyUH`bqn0%Al4<iDvj^PT0}3S|H_B&#Xet$miO!
zsob9!_4t@dsuoN><pmlK3;kHI#6U`L;K_rKr$ak&oF5-w<;&|mSgu2V`jFxTFHKA3
z#Q%?@ln=W|B)I`juvT@u-$L9K;4om2RP^CzL!XnQ83prjBWJ&j0=D)7MVtXsr>ElK
z*yfjK5};QiT;%lmC?-VQlLq`OZVT!J{2gDXO2h=|HbyHIMDu=9-Ss7huOc8q&Lm4Q
z;bMhyWGN<_*BZOl5PXsou>#4VA3UW({-x{{o4$UYr~a2s%I}d>Yqh3tzpHB&sxvX)
za*Yt*5|@3%pKL@T@#SxjO;nQtj~wNqC73Fhrp(@jm;7)N+4D8?>9L<A@>S^^ho!wp
zA3w=(zlT}?E5AwIab}}AHnGMt@$AoKAKA*Da6#A&U#%#dpi;_f-BlmKf?V7$tpGcS
zQ;YYZspTl>Z@YiFSvoAvd5c_~)xLV5{UxoAYl}BMCJ+l(L;#e-#j_cw&C+Ebpx;U`
zR_C?iJ~}xe6#FQ))rB`)Be>6rXc&=&ELDkcbgw)bK)tqfL(NhgWQaclY!yFm0*rq*
zKb}Bm5v(qqbgI+p{)dfQ2(=-6NiBVZOEss)qkX8HlsoW_Wn}OexTz&ca$f?kyY;69
zpfL?={&cOTcaNtxjS~rwM=&9Jo~g{6qgcj^BD(fy<!i%Ks13;^m(>~FMrvZ8N~|3&
zH`$aZ$^7YclK?q5cEb=h<(joio@~vju(zxb-MsjN{$t-YiHSf%v^Q>Cxd`|`@`{Mc
zW0a3BP#<n{GL_iMlNqA=83<m<UhM*0y3<e8*xFftiU8$2ae@^9B!#i$Gmk2H4WqKf
zo`e0;qW6J+byGm8G!YWINH%qkVDUX0ddwSGzq{x#$7&Weg(1EmOw4X*Xts!^E?Z1H
z44=fC>Ju(Qo`Z-0+(CUlIe2c~DYSThB+z|gJ-ceXcrQZMdR!>gUsHCAcj&X#B12?P
z{)98!Vd(i}V`B3chAP~#;k-AC+RjW|Ur4{X9<VnS&Nb>-<k87|feh4D_)(n3ZZn0q
zA6eZwMftDX&n~$8jG7o8T8vQ+mn8C_(Lxk>iV$I&ZAS>eD$LCZ%KD!u9ei_S7w9}-
zd|_~G9~7Qbg0NC)MP(;E982zMy4OuV{_BH*3B<5AofOb2ltdQ?$-3rL3NoNG6eUGa
zasBn8fYLoR2YlatJ^+jDI}_ii77F{3LvsU;FN??>sa5}8LC0bUaTh+ibyCS^s-CuF
zq=hRy`*8`|<|+$xk-AP@Ov3Ff+pqE)byFjQBH-hiB856X?x3~HRN@`F+`S_~JET5U
zF-vhOVeE(@!~!p)9k}3Q-HIMk05{*~sJW2Cd0`(GVp>}rDHlxipcI$v&K*&*H|g#M
zt8&^j2GWvog%aYAM;qPbxGR^v?8l>YPcdYJC3LZ_oi7!tb<mN^d6(SUG=t8pG)`B@
zHT|Hol{tW!Zouxzj#X_aoTEyKC4=uMWBP6mD9*YWDqPgDWG`3>W=33A2rFui?02t!
z0M)6-yOICpiP=Rw!P4F<Z1|ss{J~dTdPV>|Oly0Aa^Q4Ta1iM!@e?+#hv%)vWLi0I
zNDLy&COB|gd0ugmO~=M*C<25Tu|SD3Y%jP04|0mtI&Y%A(R!{HyI;PFp5$#C4<N%L
z*!@Y7StHHwRZIU0GREvP(;|@^k-R6%3Tl6?ncl53ova*WxBeIj?KVKYWypItjXnM#
z3xL(~>7r)-<u6CadMd0gW3^QA4WXME&wN<Wjdy!M<(WomU>u;h4Yk=~%*<6GiPhE(
zGl^0+Sg1umn#?XEE$>^2$gMJVOlQGKxs<bfD@4BT`hLYqOiaAIts~QYD>?v!%5K1F
zV|yEIOmnwE%J<+zd|Rk&{gS+-@)SHG6c&wHH#zWDC|h$hn8q89o#cuh|9h-}Ea}BI
zMLDsJN{!)eH|r{kd)aI<Xx$fEt3@>iZ^EF|JwIL&SOF8h8%Z}|uzdEvKXNhLPG?SP
zfD`wp9gmzu%n=iQ+0-IRMDY2<O<C>S5%ODwX~bo8shA*|{qJplCXoU9Piuljbbx6k
zutJ7Zm!kk8<5N~nPXv50c`<KV=D~{l$=0o-wvS39rq4rvh@a!E`oYikAHd;60|*dA
zhRod$=vO78X&k4{7e}r(v}9waeq}2@IM+z$eoSPx|1zqxYdJ)a>z)%mAzw9{p$&(X
zev*_k!1#fSctNigull{*6ISuDHPE5`#!TG{_oPh9I2hBdT2qki*E=_15&x`0orC~C
zB{tnT649Ba&;GY3!%BXKW4`(mg<=ElV{^>WWaHMzrVM*(dn^}#yN(uTR36?vn`DDN
za}i$KAAqDtz(GC2kPGWM*2f68bP<xLjQlvaiwZ>px6A9I;+>acpeBGTgZhzi!ho&|
zn~k&|mWP+bM=LDCTY{^?hV&lL+H+FGUOeiyL6bktZ}N{^{1qW9<>9d|h6A%&1aUW0
z7)H+NEki<312t<J90Cgl-!AF|4a2{moi^z{*K?lmaYltqdB&8t5(6GT(7MlAwp`G{
zGRx~gbm|K5%2lB;#C?XP<Q6Ijh?-*Rn@U3iQX0tX#OUXj2x`8o%_PA?d3P@pHeG*z
zWB8>$>d+9_2Y@HkFf;C_ZP&gB*pF+z5-&YxNqKC`_3%?eXwo<j5$_|M$HR#Q0Sd%)
zMnZSYF(2v!25;0>VqR<mU6Koy+$UBX(IMaDJj|M-#zCK>R8thK->nHpXqFUTll&*B
z5=bNt&d=U7*w^s3oq@Mo0)g)@5ea3vx>EH*nt1NnNd*qYXor$3+dPmPuhkp)k>>Re
z3NaR2voRE{`M-*_NN>@|_EG)HGTD<<jHoy)km_h_-6Pi)wo!ZfS#05?$WpnKbB~N5
zg#w;ib$@2=U-XwPu(Ng6kmXlAL;EY>zsW2<trKn@@Hdi1dO~CC1TWiGv0ZRjNC{{X
z8aRTa1Pugr0~L?**zGKGx-=^%+$r}bog1ch#@-9VRvl(bR+pwk*cU7Fg5?I8$(@j!
zep^GupR@X8kmRHx$q~q|Dla)HEYyRA5+hW5adSTRz9JM1)yiN}o>CcQl6*{8PcTMC
zBNEN6H5MH`wnqxg0C}KFtCCBovx1`sRB3kYF2#;a#ssNE67fC?nz=&D#8*jWmjFyj
z*gIJ)+5+3ASg|UXG(BP#GX7O1dh!_~V7m56R633Kee96iB@+Hg^2b1Mq^`dxq`R?|
zkAqgt%a?o1AtZtx%PL3C0u{!0BpSw({Ycxg8{^S!d*2~%=BQdcdr`?4{p|09>hYdp
z4Y1%TQZuflRakS|_)VEntW^7f(}V|2WxZY|XVcQXZPz39v@AN<l<;1N_U$nQ$d*7C
z{^zJnVTXS|<CREuR}L#}^-7l3-lQ;avEID603?@5?T+ojAxUu*0yu$J0yq{fwhtJ=
zhLa*G(72L0$`Lq++hQbk1HLi?xPiQ3#+S>Kg>!_ge6xKJy9%ULekXPwIpPEFSr1}f
zC^|I`C-qNmDm8Pn*~EtTgc;l$Wu0u>8QT%bTNx~&Mdyj-AVKn$g|o$vmhPJIHAZj5
zwTg2K+ER}FpyO~>2s)ePsA%j5-EF84f?s(ZQP;=gN{*|H-ZVCM<6wN7Dis4uJr^K2
zXUT2y!}C3?035?u8WON_?$SX$7hPkDmuvwfuyx=3v_vyX4-=K6{7#CAsbb-FEV$~Q
z-}4T4{Aqm<IrDV$@huNijLSu&C3YMlm<)06{pGix8?cZ-NH~dz>(<G`w)q{Hxd2o2
zAp|UsM8y5ocZS+Wrqw6|{1Hx<-{mIVn<Sl)<X?#GuZD;sINjI@tCk%D-##<o|K?+V
zokX5NJQRk7s&I8-YY>OBFO;$7{6I|G`8g_@eM~w^RcN^=oh6^-R4RN^SF}U0AE{w9
zLDjuAtp6#kopJ6hx?XlC7fsjKUC9z`Y<LHTO~N8}5d6)gn;M5+qqPaJhzq`ATtt#N
zE0>4NV`;>+=ib4+wjUx9PnEK!0)FScidP0oR$W}d=R6@-2n6m<RH23by%uI%|3Qxa
zuJnXSEqT>03}lL=rFC4#Pgm=^*<2hPL&iZ5+^)eI18!?@S>V#JSfDqxiA(=XL&up|
zI3(RYV2nqfZwwWs*huiesL~3xKe&X9gv@-x(1cUsW_#WCfWgO#6rl5xd5n|;uVzuK
zWtraSWo2uDX83^}G0qh6pngS%ig~*s1Zk%ITOcJNtU+?H5n<hJBPJLs6>gqRBQ#AN
zhKBSa#ZDYOgrUTc%Z%5U;~7U~*Vj@+%nd0a?u-fl2nGqys;M&QbJyg*BsaV6>w_x|
z(=Y%C2K;m{vhHO>Fd&f2+>V^UFm$!;k%N%kdb+<TUDZ^$cut=d{<6J>Rz#)qlD03d
z0|=fryh(s`?x$<(#uOSI3FE#HTZvDIA|&XT69mZ^zTwGwRvTd{(~Y3?VJLC#kdXzk
zVo11F3WA!27r2x~r;b{CC3l44^$zc!o4$2x5K3I6M!ptmqC*X9w<8`A_ZQ;Fn8ld}
zUnXwte<ygt&~9uuCeVw~?oywZ(O<4OWJgj5uEemLTP&OjORS{P8;5*|nE&9phAZ2C
zM{o=Bas}+(3!rPUiFlWc0w0&Mme^&yGMy=hb8(P(X>ogv(k*t-dyyHfTFH(t*#Z+t
zwP<0{1!|wZA;HMN#ymiT(vb&XJCjYR%u7l=mMRwB6EWh<m1A`F;917x%0QFb|56>?
ze$7q;M}$-k<>g_=wI2SOeP2PmiX-phG6RHbk$HBqKX~|>`VTYDZoK<W##w=;hDQT9
zUaY!TR%Ik}f=~w#9`1UG8Y^RoVx$F!_#f9ye5SqL(Dx(TnfD`;E{_QnYo{%$A6$5B
zF@p^il}<q&{h#)AAY(xYQz$kMa=xxZMC<OipQKC#?&Q)T`9BeLMbHzfI&iV1-+7m+
zesOM*={7#Og0s}#V7}^s)`pHxHYwNunAW6ZLr6c@OBvn_E5tE)em0;OAb>%FR<mBu
zwJUn<iZ9LH<qtmJT66^a9+2LAlk45blq`a%UGK<l56@j_Xr>WBW#je|lEGg{c++zl
z4ri$xBCH{Y5T%E<9EHj#KGJ$X;+<I?agXD=WvDbY0!~q;LwiXJ_FG8n>@2nMW8L$-
zn_XT^MGPRL!%R~LaZ)7|cF~c=)|G)-MfMO5d6boc;2B@4nc3HhD+Hd}HfnHEsvTD<
zcBrgi7^cta4~Y_3;@~uEU0OjkNXf3u&7$C+gZzAZ7-F{Xy)s+T-G6VKi{U@F$NZ1W
z#^->?MjvkwWyRWt=0YbU-2Wt2ust1ldsqMyb}M8T$69T*-}wRM=PW8*bby4?yUL6X
zbUZv+J6`;x&MrKbbd6<hB`K|fFO=N!jQSDS2e_V`@2crbl9|}R%}8&5Gc@3mfw9jJ
zlkOb3kCS_7C4qv~kv4MfKse;_%K>cG3Nq7i_^6K}GvG?;cs)$kAJC`UCDbgm?@h|C
z^}J2C++O5zV56+pK`x-a%O)B|ew?!!U?kQc(RThV{FM^}$k^K(O+Y_4N%$mdC&%#h
z0Yc1WIme^UX(oM%Bfl5%n2)8p^irOtRN1%}^FCWqee>Az;q*wKt+F3o{ckH%rZJuf
zsXD*9%7v`3WCP`@bRW*IEd47>-7oB3#aqU#)<5~HASyx+6U_dY(Yd!B_)8XuBna=d
zP~*t@%`?a}y^C#o=b2?Ki`fxjT8(D}EJ3+gzZO(C|95ZamltRcPQ9jBw*|YWP=+{(
zC_u0s-zUo|UTZ;;6Kt8SB@Exzvqy>a@a$COsObz+F+-7Dm(+l8ctiXvMxi02+_x;`
zC6DQwg`x}D6mqRwPpSzGL&SZAT&9xIC@1sI85@b{o}3Dd2?G})Qh!&ftHetrTWFM?
zgk)~W={|jfXQezu*1{zMfnRPx@W!7lF!5ldq9f}QDpjM&g?HF;^R{=Y>LGZiS_jbm
z!KQdS1EnZP@=vU9S1)5GUusADUdC!LRicb&bNqF{sHvKqNal`f4%(W2Y$#|^;G4gN
z27CmrF1MDaF_>*g>VZS^gcwkA<2>ftrVeRDg#&F;b6^+q4j!Vy!V3q%iTEt+1v1;+
zr*GuLaBp$iUbC~#Ila=^=}1a5HAwpVpq0UYSUVA~bs59h^?v0cVM%JF0wDdNM=#A%
z=>_azyZ?`csc7)4z0K?+h&M~EsLAjFTu$4Ri_;1E<!UC)#Sd5QjnMn=q6Z}RQ&JGf
zfTXXA$#^04od}X#&Lh9Z**#eEI1ihKQQn`L^XI&{YRFzE#~hRdEj5I&({v$;t#&=+
zIg$JrKZ!E8?aU8KfXlM>@^aX5kceD1Z84;7$qVT(NyB1LB85*ggrtBM@33f+pe;&q
zx7@wDgd44ZvK-i4gtMA_at5N`l)=xs5ZYbz$=NxRHb%aFq`PYM{8)%^^5FxLzsPQ>
z7k6BS*nFA09mWK7AI*a>c1f3FIgYX<2{CZuX(m=kLMuqLhmXpANs*{?Jw*`W!--q0
zirWaA=FTliV?7QzH<(7=cK|b-acG;!Sp{%m90y6IJaqjdZA=z>4)Pd0g|k<cG3hft
zcVD0vaKCi6@U*+P)o^|BYB1&B<G1VX^wI(_en1PFwJ(3cqADjgKSILjojII$HXP7#
zF(8^My{lbJhqQd18_5yjD6o(UD5?ICEz$F-9(a4^XAw7EvZ<N^2O3T&Q1Tm|@Yvk^
zRIYG>(PU<f_XBHFTFK%}%MziZ1%Gzgv_jh(<F#DpJgdB#Z3`fhcqc4gSQrE^Q(8xH
z>qu)F_jT&L`lZVD-HVsO00|@cZ`e0UG+;prdDggp7zQzf9om73=U}q5Ss334XE;48
zyUV1};BC#|Vd0l}kn@qIvEN~dt>3rAu9Ft(N8U>F=%x#w-ZiO`iVGys=0;^T!L6e8
zr;C_qEypy*mBWr4pZ4!qDx<k=tpLWbxZUzGMV-&2$OgPz$aqOwTr43XIdt(9UiRoh
zKVj`Ur%A|fUUm%NBwR?qTTN!^*n5MheFKlXpH>HD#Xmme$?K5Ud+}frAmhPAy&o6+
zJ91bN3_PdwO_D234yPJ5FHKpnp9YQXTN<1{mXLJJW0*r6gJZ%cB|dQW9$n{jZc#g_
z%hg~uOiz2qRn3R#rcYW&VUCJQ@rzcp&~An;1Q5Jhg<~)uaxQ{$;fH;{K>6ZaZQ@!E
zc^MeU$_F-=zm``1XmSpchm;DpsKoH9=+sdV%?b~SRCF!_mb=Ifj#?MY<WVXS`F(YQ
zx**c@9aRH~p;1!M<eCXJmU*UFcQ;7&SW!Gyio%`lhmkR-9YMXG3volV&)6j8Q1NP|
zDt%>96PEowW18*FYM+0+*dynazFQn=vezXeH&kRkJ?L|%-q|+&^Djn)@07J5aht0u
zWFi#SC^^+gqr!fygn&u6L?|r`+sqlmDG1l(8Rb@NWb)i5<G-rQKXSK|M~e9mOB)*J
zYI)6FkRs6LF8ii!7whkR6e^OX(;Q8w4%r~x0NLSL>Amy|PXz463>74Ka_(p`59+oe
zW;ph}H(P&{?qz7ab?nYtE)jVNBMxsdS!3K^?D#!XcZ%t=LF=~EBGVgWazHPYm*my#
zt_zlEcr~_>sx_MlYa!K|%E@H>nc2~36QaodHnE{bpz)8L$eZbY00PZ+Pj;s~QZ8xx
zW6X-m#~<aouRoT(CGB2wyyB)aVN|^XJG$KlSVQ~YRL)+X6*Q6LgwLZ$-uXx1D35_Z
zN?`dk;Oi{BB5Q5?W#=k;y-1j2qUVq1;pHATcbf!o!cF@zEMH9}YWm-Jx*LIeu{DSD
zx*R`2^xyS&Lhxh1{;j;;$v=p)R>NNwK$|4Oe>(Hvxwe_?{NE+fBia~8sYCBP@zO7i
zX>Is|@H{q(wlLvBJTzzmSxHam?;KA+&N3|$@#-?+Aoq6NgYQlR!$iu7y8@v}owAQB
zWMfl1>cz`07lS^DW7fP(B8apL;O(9+kcuH%FOu<qZZ?-ut7E>s@79Wclf{?jPXf|*
zwd-BEOKPXT#jBZ(H&TICm>I<MRj~O!#Nl>4gruiHPz9q*Fucq;M5mOyzgL4(bKWEj
zqv3tx#(QrYnq#csUsiO*OoWIR3WFKfMXWYqB^4NtkY>QbmwaM~^g@3)#z+1_lS}#?
zm9II1-!ppt=94<T3vEWC48*+6b^>L8lDtuM61IG8w`1BWhZE)bSupju8chD@UI9zO
z22HSK{rt1ix)UwG^&x-^<3F<Jor4NEK)}u&uU6TGZJfDGl5BT*D>C2W=?aHS1KACi
zNu`)+)WjrIoEu>XG7D$zeJ%DMIj6yH%I{Ou`>M$B_=5Ds9;KAt7(6;XwgXjLIX_jF
z>HdSHjalkl@ikW^NhNO763GxCi*Rzb-^lw@A>ShGn`{YiBh=Pq${_d}XSG13O<^Af
zEnj)mKNfRId|W(N%2%>VG+v9!c>?OoLSGHYzH7IoWS(s(#HZywyyJwA3t6LPj-vZT
zIZayD61l}h$(C4o`DD;oYPKiej3FOP7UWu5(-ZDrZJfIvAC28fk9Y%F1vqhV{!FKL
z;-wX&e*yKF@+)~!L!LsJkpy6x;q1a0G!tZczCoYx2oAj#(7dUf#12{{2$cG`Y-5>)
zsimoI`tWTR)@C&(sVof+^KfvaNjgmaZ{Eef<kx3P#VI1QORR9H6T9>zgfMLjCND^F
zp+uL<E{m(>r_yy8sRPGzZaD!OFy_VTnwV)NgdmYqrY2PX2U!cpT!qo8Ss8fT4u!LR
z+>vH`D2mHOSNXlYxyJEgUsrF8jfXd-8g%P!QnX?FsSiCQc#|E@u;_wNe&7nY1z$i<
z{UFJ4p(m8}6((m@ldi+j^{^f5*T&<y7PU$?T7AoX4vz!jjVW%Y%verQ<H8rCz3<J*
zk*w8}Mww*{w&oC0>=Q2(JwGCv8}d5E;BuhKGKeWIf3T400Q2Fc6{YPXG3LjQOUhiS
z4?x|_u0QDwv$}(OAFipH+=iL@e~(PUAmx|Ol^TSKVuryi<8LLGQ^r1|-jLzpX9lYL
znTLY~w3i-qs$JKyduwW$QT=;QJSPHh+dct6SSeey%ez!pc~n2xMUyg(1d3}gFYXWR
zA1~NW(6gZ3Nbein(QG;kZu}a_>Bz<$UlM5%sPQ~>@(%5?v@f0j^Mh>72_gB4{y*cN
zEoLZOHh37OmgGg4OM1U|20FQ~hKjQol2CNf9iuE$K~A6zItB^DV&!L~ww}`_+E`N<
zh6D^hG2UA_b=zgA-w_lpLk;4R-X-&No)92**DSrel#Y{jWi=q*0?NB=sV%MrZtgIi
z6or7_(f7IYR$?s<Ml>lp?C6o~&qc1ir%w8=ci!hb=QLZfT-p{~CPi|?bn;*AZV9L7
zSXA-UVbOB(laCu%Lp-V?-n8wAq@uO=$+fBrCX9J3Vp&KJSy#wJ(jhw}Wlytsod4O=
z`EMu634$W(Sp1n|xtj&HUH^5*p*k3RhPVm3D?g#Mj!mF+!}`cP>0k?Z0ci`2k4F;;
z+NW2lMasB-$@rUgu0S(iay%)hk+_Ta$1;TM<<Uk2C^TyYr)y<iy@^dcdXt>+eP-9g
zr#&1)wDXj_$*|#WoLq|os<ppWA!RQaecthVVN}kv%fR4Ogy|ojcn!*uWZTKn&qpTJ
zTt|^om<!fPLsljElz{y@z>=y#*Cp25A-TlCTV{U2zr5K%x2v|)!Gv#yXBzUw%6D?v
z^vW%zX^`tZ7+~<ZAp^*R1MW-T^fBYj$|Z*t#)Sv-guPq#@k`ZKg0wV82L^?bGELKu
zKTMY+X9ItI4|p85J1Nl)w@1i&eEXTp<@H&_6XGTEorXA@#+}W^xZY%fL=s&8MSS+c
z7$N%N6X*YHQ~3|?BKcCptC81Z>0;%d<(-72lp$~7Dq1Cx<~!{|`GufIJ0OWErxl8B
zO2N%tMSDT?Ah(JMR-KX-NY45B3oE2AvUG8oJNwaVGsTu-|6=Qdabm?c>@Ohe+vl5|
z@M7B#1NtDB7detJb^mZ@1;OgjnvYSb2K54-`62ZCQt@W!CANm*xFKpT!?9TGz6)Op
zd?4Vrk*-rS4wFK27%}xpJ(W>=Ug10%(tYN3D<N3z<8cKExN(U%RPTuX6j?@2@20?|
z92q&`*xxMq9@%%Ba1|c?8Q(Cs4N^zD!eaH;E%LMGv;LmWC(EHa{YeO%ti3t+Ak9b^
z#4D`WNJ1Y($KaM55wf=9<_hHm(;<T2hUzv4sg6r<ThMHqjsx7)jw??RrO>XIcD~sl
zbKmf!OC1>rnE0#Y!umFJLV{^w^_)j#%q=>O{kL7RXvoVeq0}PBVnT*IZ%g!q;YfVI
zDH!(HB<@F8WMLTc0`d!w{ju1Fyi#7UFf57)s2&v!xT$|RBar;pHTDgZI``&O<W#af
zK10Xc8OHT@q5e3nwO&w#j-@?KC3aqN=VO`r+ZR2ZUoyADbmujnmw6Wn&p?4h4XYwQ
zd;d(n!)xS|vmi}Z$Nc9bslyH8L%mu<v#dPVx5;);v05%yM{<cnwbwjuPNTH?jR;8l
zLXg?SzS)*+gtqY4irO#807Ts`HyjpTObKt&yoaj5#V=|Lzi{FaMsFA;%Q4OZuNn@J
z9*#c!1-kHhy1ONM0grwU%`{9r%?bL!`!D=7{X^<mn=@@@hn_qqW@KWV;d!eA?~33@
z9Jp4uAuY@Bdz=R`^Khm}PSD6wXAE~*_`zI3FXAl2psmmQgYw_u!+&Yl+jQYBge^U}
zPspF*)E8G;|1Tzu)g+J2mtY=~CjU%Hl*8u2KxVF|M|J<OwM4*$cq5A;NMpK)>L*@$
zEId$kfxhq7pke5%4Ake?ob<OFgrA*QYn-Tdjq1Z0**_r1na$Ea{`5`JD%keKep2dF
z`8>3V*%uTwe-Fb92pM_U&8`B2n9@6|ew+T*5h^j~Nj{4TImdla^Ujs`LUA&!DzD&I
z=qQ{(G=RXjrnj#i6p8BOex>f;qS-XTdym`&M?X`dY@55=erCEL-=a5D+M+XXknZ~V
zPyG{P6eVW`VI3R+?pD2y)p?$TOEzK+NuYoL>B_j*>J+W&tThkM^%AsW;BsBmm{636
z{jSOWwy_t+u}#9@w}!`CRRR6~-B1yrRYA%Q#sKVl>9>GT;ib?1p<vNl{wtncBa_#F
zG$*XoDi$T40+Isk9f^SW{(N0;AVTu87}L<tdi>!jrLSLwN;nj0?fb#ch=UOUf$;cA
zy-Llc<Eo>HItcV84(^zWvY)hIpQ=7~0mN`3U4U9$*i+E=sD)+A4J{U`uY#tSqgaj0
zqsnOW$mMrw-yM-reBFAYemDOh_B1}^Z0gto6T0uJ_hiTkSl;6+i*Fmr^gKRA!k+`J
zy6GZ*gQzGV;8KCg2Fz>nsilDWYT)Nid?jKV?nvlqeE0W)w3I7svh{RRqyFGy@@g1c
zudv-naAuhVU}gv_z&;I+vLX|2;cJq89df~N8fmI3$_XY?avECLzvzGE_!lMmUnI=^
zCo^tQ5k2-*1Zr+Kd?)0E0tV)8h+-Hq(ALoR{If%1Wdvpyc8Xx+ZhZ69k3FlWPqJ+M
zBary;nV@J{>>G~Zp1gk6Qq|u*aYWiKm~AF7W8?B<mS{TN{?2tfVHAJr&`mej3;eq-
zb)qD(KYA2}Uu*&^^_umDMZfxmuJ#*>h8{+iP8yM|C#9B#7k>|+l~_|aDZH|zs_@>s
zU@m?E=B6pa3t=CttS?YC^(U*7Ha<qH&_>IPgR6*GGW{;qVwvygOW`kZxH{jH3#taL
za7)cNvws(qta`4XD*WN;7RhZAf!l+t77?&ij+*Y)42Zrh(Vx<dmIKUZtT)Jluk6jC
zYlCEvY;FQB=X#Mn$vfsFdw3~6OCYTOZD`HyzKa9tmSwl8Ywu6pPnR<n)8FxmUI+8W
z;D*fVJE^k=zkK<YTurwNcWdl(?oXLps1Bwb)08XM$P=I*YzWdNa!Sj}UF}*nlSJeW
z%<z>(pABUdrW+H^la*B&n$<k?R<weCzeVKQMH(FU=d0*`NX}rcPZ@iS)QQeusQ0N(
zYsDh!S3=biNZjenV36IEv+E{vT$yCI5XW=VJ_V~GM0AAyScnTI*_&-Y3HkZDxC9xC
z2g8+D@G4h&)%irU9?0FYzQv(g?Ox3Nm)1lyPBqaqe$P^E9}9#d)z*LRtaiNXJ$=jU
zwTGRT`5FJ3ekyx{%am!OQx7Ew4vj*e;L7jr(_?u85_wT_(_Jc_4#xgYuoVB{l&<8)
zdG@2CI38MaCOqqZM=Q!C!<qKP)HeF{&mf+Qp5v1E0ILE-IJgjfrI2Ya7+K$sXbmBD
zTxXtwM_3)-!BP}=rH#}lK!zlQmIylY2SbU&ROK>*+QA}^&IE?wUx99YM2+@)SHmeM
zmx)l6LRjEDi?Q-=-wae-8|WzBsk9xP8{(I*_+O7pjZwRa+Rc-Cg7Qqq=KBF%IhZR{
zhUX?N=h)TKfuJtTY-0HKHXnEgSExr{U!ry${94)41?jM(ZdRr6FMqEMw(@Sks;qUH
z><yVW)WFN~rnhq|l9lrAM}UqU&8U0Dk6<3^#ELHgenN#P-~7wmb(Ia=0s`odzD?n8
zs6MWy!28DYlX(86=VlDYzXw9nNb4B!;q$1dR$LPxEp&72ILYOgmi~i4yu`*E#4*%T
zI&4-8Z*(W^lUCz+8L)s0zM-2)Zqwk9ygL(My0m56T0CyE5%uDkil^TsBDaRUd|InR
zbBTG2Y3CY@kcP#2a0Z_wnJ(^?O&HKK85aBwY{ZduDa63T_K}U@J?Y{UL96KWaSY{R
z`gIb{L%(U%sCZ-8k2zU;7QgYHHE&^`F&h`!-XOIPwK|oDbUMeX<tfm`c%zU>2SJII
z_g%JwS8s2Tm+{1qrJc^y1};dTE{3<>NyA3lJCzKgUhitRG*p3On2jAXg(+PPGrQ+I
zh?_I5oiF$XuC-M0*F+Tbp?-_QsQHNG)QRJsl<XO5;!kpsbPU6P7DVDDH0cUj;eWY8
zCU+UV&}yCWa<cnu68cyBdpVB>m_*pM8Di%{mkGx;vfu)^dIR;zluo-5Jc(_3W|w){
zX&qoT)E>>Z8Sa1pG?jPD&u7i3bQx_B_jUIxue_1NMR$T?aM@(#4XG!K#8Qm<{F`J7
z^(|g>qR6sw(e>kFrxAt#%tB83f%D(6y^8%k^lBm>^sI`j5B*pUN6D*aUv}Z<@r$Hm
z@O!sWZUd;vHSU|d)CD{2L+3=DM6~qV5zVye;{xp?Z^A92OJv)YfB$|iu>H$IZ&>cR
z!|CwH2PX}$-02#7a#r)ZXH{Z_0Xq1Nknw@7HNJqwO+6BWvp+N^Lu`&C*OPAHmu*xc
zR#$xVBl8cyZ%q-2fsy~+L!l{0^1+)Uw{4RG{Q+26)x7@Blf<Qb$|u4XZLbX%^Mx|f
zf`wMzRw{cAu6Tpy#c@dVg5%WvY<g~e`{7x~sQx4m6Gl@XDUqXulf___KVj9SR)QCt
zAg~k7GOGrBOi9*fB{L#XO6Y-zvpdH1*yO8uPFnVpZhRq&b+m*VoKAE8+(Vl5Hn?x9
z!U@N040@u!a@%X=!I&k5q7=cp`oOvv!Jea~U1pmC#@dXRq2Y3zB^|WJN1nO0(be+A
z-2PGaxI=Q-Rb3CY6lFj_YsBAIEe2XP=F)FpeZ|v}z$zi~itG2FOS3>W9iy-KAmp@1
zMkMw$ViRP6BR(Y$Kz1Agnf*^W&sd@+O!w|#5}d9NhGK6x!v}1PM=zKnG}e19OW{Lp
zo7K*b7eKe9exGnq;5s8t$FThL0M7@9KWqtY*<#sM*;QDKVze#t{++xGPUsh$uaiQn
zPA0xZ%?v{;KX0P*?4uj{XV!cmUIA}m;p?(3FYF$-ZgYqHw4O97&N-C4<|mH7${s^I
z+r?Npqp9@OSU!;i3oDOZL3!@D21*N1IKaBGTt$8Ld_lUEPBy4YCs58RCgZ}wJt*7o
zGeNpCLlnQKpdEz1_)OpkCoX7494cEJS2wL8I#N;qy~zp@{ROH&TUT0aMgJymBrJAO
zda}h+y4>=O{-(Wu?lqg`q2vF1ipCPPK2xo?Si0LbS<bAm%0WYy$E?+(`44gfFpdj^
zTr`eWN<%o{?Y)TuTt8?v`<VS=V6zx%pkG6j`hJ1SnZ&GX=&vMrX<SSs?q2JbeHH<G
zSr_oPft^6GfAEI~ON7a_x`+dl@)H;qzM}Ee2QUo3>9iHhkggB<4Dnxt$z7y$d@j81
z4`>)kvwZzsGi1)6!~U?1T`a0RjoW?IV&-U+-iRE8$%Ah`eH7V4R*#`F%f--xaYK6x
zNun_wGF0#}TTR8`cCw^~L~<Fe7w&Afsk`3n*`&`Lqgkx{v)M$i@S;LwBrmLaHT%2J
z*ccwz9I0w`0;~=n6w5k(J&V-6#tTE1YKomlSk!3->i@4EMleq2p;w1uld2$YIcpNl
zA?2y;$iZXe?u}~DoGNdNGUof0JFM78GW+5`6V6NQ1b}SL^^y9C2jr*w-)MhYEQ|^8
zNg%R1mp}e)Mvq{e`T7~Bi*!Piun(Qpr5jg6|5<9K#!{v+zLxcLw2v_2<c;b|&GeZ?
zS-;2Gs1n{Tn&Y(mD$GkLBKui6NrG-%`9klAI`j8H_6G;V5yBc=lRDA_T39aC<#;mt
z#0sBQ4=^?ef`oUdRo<H%c(Hm(NL7`I`x3@&4}S5<nPdn^TW_9uyQK97oO+;pkQ(z2
zeiem*T%B(S%6@1IF>QvPY7c6rvuE-0NA8EY^e!a75*2*1fq&}=1?oa)#m;>q6}Q>$
zVCk7dZsZn-A0oua!JR^-Km+fRL6HN8^BDu)u4grbH#HOdi~SO<TyxxM_TWp!x~pO}
z&N@J9M%ifJIkFwT85Fn8G>Vdxv28fLT~am_)4#0yVqX(e@KcBO#bB{CJDKnGWOYl}
z9ido~^<E84->B;Db9y)WrVC_7=UCZR&3SHX+Z63Bt0j`oG817?i*-&TF7_kCW}#i!
zy9a%Y!PEhl$~sMIg*UW(<0<hu$e;BDYh5$BdC|n;GDUolM(!h%q6KLiA;DOuod;1U
zK9#)Ys!TuGk1byM8-KcM!D#qz;D9q#{S68nTt4(W=SLp;YAYr`!HfN|YjV51I7KuU
z`U2Ow8@l|TN~(Y7)ST^IB)o%zq)56UA>C1#7esE`0#c;evMb3rhHe%nIAp*$ztitW
zPr~M&f|yhBG(MEAa^Z51I6J-w?$pjB#*{=3YkXtP{54DC*We8&RquNb!yHCxAm%(h
z1iN&<KKk!jeM9gRu(CY2PJVW+J7P-1OeSo5cP-!Z<_)PV<+aq{i!zf&;~;%e&)VAj
z3q%)oEd&!6&I~0V1GAq<6Tb%K=a`ibroPRQ=2IWapOcDHCorLzGq7G=uh&-h!eTGG
z!F2A&<eVtzFj;V$e(phq?lm4%KByRr{rP<H`hE2`VmkpLmqG~=n%v)I6}!9IFoex-
zn!bQzKp1a&NWPE=w!*gJrW{?`-?o#u^>mmcP|I$!lhg7GrrtkAFakT~vvBFQ`I>u4
zh**%ilLlw%egz|p&v-V#njx~RLfJZ0Vk*|6>(FNne=Xu(fJW}_vZzU5lxikHzt@oT
z^sj7h7vzJH9Nk?MFTrV7L_-Yg*1lugdB@;|PFZAJq600*#x(T+<@}{<;?0QGesm@#
zGfr})N$mqozn}=rwF?l?BP)8#43t+z!yETEuOBEE$bRsDRK0^^o&6Fm9NV^=q_J(=
zwr$(aj+-<M8a8ZfV~35c#%Zh_yWjrqecyA={S)?Y&pd0*nl&@YCVyDHE#@LJV}X{o
zof{;};Wq-JNwG>Q6RTPnhOCx86MqxVsx5UZuge1~WE$2#MPV<B&8{^fxi9G1ZMPfJ
zd_YOfg;qSic*)~T>Gi1noh4kZ3YMF3DBclQZKRentya|r+WTD_!_V3}1ULOStWR!U
ze!(i^sdzl=W%Esk=iXs`{~e?tf^m7w#)9^M>n%Zpas>8C>|lb&`~TChQ4Jw{s>(Hv
z&>UGTJ4Ir)S>C6?#6f17H}Bu!3?@i@0;t2Ir;#85-cM&HvE>-ee?BmgwZoo@8)^D(
z8B88%b@=!*4xjnQ+j0n`2&l+kT?+k8;Iv5|(=URQgaru-6k0%nk6FZvqEQ*qm6U@i
zp6?r$?}tp?3+Fd(chfG~LPR%%S@XVN?MM#`t1SkWrIwIg>}a&y?-=!X?-<0vy05}-
zbSuGxh4{s3IY1fDaDlMUIyZ8GBX65BrN$*bb-Z2W1eG5UXrHm`thxw=JL90}7fu9M
zNx3&COehb3rb&TX@`M9)TwS)jBwnc|3BZ%P^>ZIVWAJ)+YR3qVj5ehhp34dk_2)VL
zE6>|V548eWG&)DO_3_ug1o55mpksXR!~gqQ(u8ckCs>w|gEhry>WHA1TW1CywX{eV
zoz#Nq`-x#FwPDC&BVe#-GJdK4X)M?-T#>jaLNR6a#|N^vKc6U&ViUIYCkk&4G9*Wy
zg^T`8@MBiB!ZnMNs!9HlN02o^RXz4i1CX4^`#}{Taui|Dv?3{2OYbQ>S5mj|2y6Q!
z#aliZ>=|hYN^3j(Y1j3sl~R!}x3;7=?3XTtKB+W7;JY^;#dXW1sFMnpJVzj##E0iL
z{^oe3b!-IE1YMFqW%_C91o*<tBvj5)Azjkx`(SZa>CU|?`v@0*>|N4Yu`fw=gLms5
zpGraarKA6GNp=?;C+FEgcTE;&I{mbLasNZH&ryfA4$`tYE#s4ayJ(ONOvJA02R*Wo
zL~!MyTj7zNyH~cpz}s1@<lpYUlhL_Dp5W2L=6|;w*nfTp7w{7;;6j}m3V!VLjZ{Y2
z%@w*R+Iw!bV|jSy+;sQs<q0RWR_6rIqd|nP?n$i*U6eLrfibHq(&Ro*rGxIClaS)u
zaN_<@wtqHiZh0#M5SQPJ15WGYrmu*%aF5z{czbAYiXb4ndy<q}vYP`|H#Wp4Zlk0C
znjm#ev(y{AmXYLWWdPbmaROsAFmWp~?*o`8UdLaj;!TGi(3CrzZd`nW?K`F4c2Cqv
z-TL>ysq3nF(`(t(E2l3r?GLL`V$`QTAMibJOb6yE5Bfr6z|~9Y2^r*Ctp&&wrT~a4
zfA~bz20rWpcAHNFv^nP0lfA1~O6bukhDtglerNy;DZZ03<duK_%*N>-C+LwQXdRv1
zhUZTv0H+qEGA(q*mDm5PoJ;~b5B)7?whl7v?e`@a4>23`fqE=#^Y6$3mkOKE;g}6I
zTbW(zzg&RP|1lWe;AHkjf;YrU`BcgvuP?dp+K@c4B_PsJt@itx&c<i)z<*nP7TP(c
z_#rt1$v+#Ufz-^&XAUD`P-{W8WDp#d^c-M9RT6lV6cthR>pZ?m&V+<fW(Etq4a|jb
zT1&gSjF&|APw)Nrk2RkO`yMLaG?9HS66_XJ2*kL?$4%T&&s$$VWZo{fNkc~Px-|Z&
z%bzl!L%0UB61`alyw><P<6^Tu`u8qF&oO5{mStm{e)NlMr;~HP9lM0~%*NgHt$d@Y
z?21-7R+>rZ>;Y2cH<e+y0Xi-6gjuF;(PKLDhxc9caPoOR1}L;6#;uVPi7H~V#gbnI
z!t3H#(tMnnHS|#Ry!Mp@TpE7y<;L+4>UYHFy&{{@A02MkwV{a<%lYXdNF6k=EFmF$
z5#;UMMR0!i192NrbRz5?*uZus5o9ljDdx1Hn~q+SYK*<Yt3m|QQ%0$pL&Q7}{i7)J
z```8DJ&H7S{}#)gV8?!Uyy9k_#$ijUpwP7ah*u)fVdbo3dbD&^gbIKy$_=ey`o8X$
zySq}1S6>DvX0Ok$tx<m}yC1)_tNL~F+xg~f&5opzO}@+f20VDiD7!T!vMWISQondf
z68s!=6gKbLlQ4h)0eIM$&gz1IhVp}`5F-^s5G0Gs7fmEZ*VtLfM;}fu820IpfuC+I
z2vgE%{jF@@m(h3<@M~n^^BMT=H`W_si<O%9Y?Bst)>{E_R|+s@AVm^#zjoc#D^cmL
zAWjR$2$J2Yo-zvlPq3@ZpYrzB@!#A5gbDT^i|PjHgGfBm)6Y|&m5yHwspH>HRJ&f>
zu=m!Awkl4xnlmlbiIdM_T;FPhdx8D3B}PrPFNMMe%(WFFI0VC;fg}k8>t%wZD0(D!
zddcu_;o1e!L&N2BENU*LFak&B3+TIDndfIOsuL-Pb+H2e>w+>j|IYrE*Lqzgbp<i3
z^sLKBF@wJ7CN4}l1b@`MafzX2(H9PorDCb8iSzD5?>@nVMx2z+LZM*<xTy}9bOaT1
zy{V^s>10(_dei@@vdeFYhagt+OnhgQT{UwTWO)C=wdA7h=IPc##_fjSf)--r`fe1e
z#VS(CxuwmwUznAr;CE^uY^P|TNV@`q+w-wZ*@a0>^H4O47^p&{tC!_8bwt}Pga3K6
z_#B#?_I-1*X060LA<m>7C0@dc6`wU3*M9SZr00|Wr?gWPg5)!Gr8>OCHgh?&&J5ZF
zWH}t=ZHsqZPJGQ(;_=Zs;Ri`ep*Q>0dvO;fMI(B+xFEj2XS*NvLdA=e=r4QG?=x@P
zexCWqya)DIWaEtgG{C=)q;DAmzMVxVEkmYRT(m$S_E~kg>I69mp@i>i?sri%s6AI=
z!lq!zW)>U^vVXhv1l$%YK6HP-)qC-^9iTlyVbu)xU=Jx;3G6TEcc(P6oit5l+%j^V
zn0Is53OSwVSM`q8!eS1pYKV#|<-sb65*?;xk``k!AC{^@ht)#-x}*(X5*EJkJwb-R
zmWX=J7MJ<}SnKf(L(i9B8y`YLy7!JLMd704m_E3;#C!Y$d_E1h;X;(S(c3zM$}4Ox
z4s{YO9YAgU<7+O`N%Y-8*4<Vh<)V2Ep&30TO>>l(T~Smz1ZQ*QRrl4SXmFt8#)jeW
z(f7RENa#6N`}`l&6OBw0^Ciq{-+wyc?CVAa%f{ARJ&g)qIuQDtnS%HBYIS`!3PS4p
z-2L9;_seqI)?ryPxN($h&XxnHU*kXsLZvM-+~99a739(2Dv{?ua<KA3U_Y(OC)Xb*
zw#pa9KXRVFyxt=74fs@<cN2pUd&810s5Og$TEi?BIDPeUXhR|}de2%;t-N1*lvN}G
ziQZMimix0QNAyz3bl4}x#I51VlSK8RJz`4Y&1+X+nExyikr4<lqbuoh%TjNVfHZL3
zVSYi&)EQ7s?<5%3^u<b+$xylr^=nd<c~_R~qL2TSxpUmDB_t&(#Dyd=9*STF`%GNM
z4}AQv&?Qg1!tCBp->=MyvnQo?0~&$PQ~Ejg+3g%bZcd9;@1$G$Ff|*o!m%<X_%cnt
zdp*$7%5|N}@p~L5IQt<m*E<`_a44hifjrTA@n28_{xmQ)bz#n8)6q6C`b%0Ytfv0#
zcXCUQ&$J~Loi*9*D7N@TOhxjmOYYK0T7A`5ORBEPtQz*iI0^1FGgQei<>g>2#W0(u
ze%DCocUetiupDTAiLd)|$;)q=eE>RXB>6G2r-0gcRx-`e6ycCO!PG6>s{s!c|IsHU
zVq^bazcrQdaOfd{X(4G2pZMJ)(uLj5k2(K))*M&poX=7_(jvYc;lgN)Q!<;O6HsE0
zh>mA06ZcI3s-@O)Gx3R*>#fXLvNOWM<7QXgD&C6QX8A7GrbKNf0ANZc!ba;9Jc=!y
zix&1fI=;GC_92?_BMerBHDRsX<x^1fhjh0UJJ9eDwxrmjy^H7z2R~IAW!@VTD!xiH
zg=YfS^0#mDGF<nzEmEiVq{<_H+}S+~p3<<Hyi$B$eA9lPoN}YgQu#YBS2YXA@&xV1
zXH%VG-&V#T1*Oo1#&Z#fmR9zOD}|MPp&~+hV;hL&8yp;^5gq!0Fi|jqUZheBw(&+m
z)9JRk_zDuS3}T3KL>M*jlC2R!*EatU&TZ7sGF~YJ%ifJ{gL9i*eljX0ik8t_!M1<I
zH&zG=XlEcK;B_B4SjO^vDY9GHxz#8P7Wv7DxU=j8$SHo<3Ww3Z0FVq@drAc3*pMzy
zFj2n~u}&D>;@=NWGCqY6bO(z_Hm`c9r@c*78dLq5bXtH+3k}f!^yh{M&V5*!W4u0u
z??@xbKO?|$)_qxh=`15t`uC0+%otCejd8kX{3oHUZ!Of_T^kpxUT-2_{_m6cX>V@x
z6153M4OqUVaj?^I1bz)rIS87MnN50A=saYA1C$oUy^<pH(>M|6N$BXirS7y&jN!i4
z?XsfuUgOG_N31i0kf~^E(MDNV?ntmUUC#JR=m|sw^I8!T6IF(ee{$2X;SF`d>BDh4
z&5}d9)EoE#3&=p;&P#dWEJ;3caQ&;<X)iM)YLF*&p@{AlAC%3$a{@|(i2Q$cgV=2_
zE5fA8c;GCTn#j1FUFyz07!`wQf3jJqa9J9*AAB*$k}u%sBRYSDA{QA%pX+6I>CuH*
z>N~AR%np9kuQB27&YHGvN5ui47Q^mj+iO_-NF66Yl*afg7DLSBwL7QKlP!@MKl<8B
zv@+sXE%wzr6xGHB`RektqgdmgB<fbX5R5Ltk7@orn1{U<RR+zYgQ3Mmli2lCmb?K2
z>W^p@1K|db3{jvqXj$$PuWC^l2ZehM8QL2hu=%K_5?X!d-i?bz&JU0taK44DtO$EZ
zs3Zn$=uP7Kq>wLs>D_7><Kk^eO*)0tur#A*XN^wMC6yC<m*@#W;1O|})wNVegi-Y%
z^r9pe{6QyTX4L&g*e$crMx*MpxGzY5d@?t_d?tUPjs38kO@BI=hCE0XIheETZ@Mpp
z+w4MqPllOf7^6w%#woGu+7)FZY$OGOtyNxshU}GSQupem1)e2FIVb8H)TJ|;l$S41
zROP8lYsRD{lJkAu*YjaaJ78<AJw6%rL3D67QT8n|ZPao*6Q{;uHgX>Z)R@EnJzPro
z>>B4re?<jKSgJB+bFzUUg)D;Y;Y-y0C0-XUT$WR79SFPG=Z<}+Ai!gf!>qmUI4<nc
z;=LY#GRMSKg`Rcs0fUM!g@5h)hdh!$5IO)Fw^J54pottN>5os0w4$5Z6Vb8vb9q8h
zG1`V4<BVQIg6}I}@otT3N{ptWgxx;;><+S|WZ!M=)4A~hY<jE9VM5X`IH>NnbNOZ!
z3YEoSO<eG(LppC7-g9lj!fqtl6V<|Xk-zy@c<>;e@iAyc7Xyy8OA6d)(L5`LmA!WU
zmb=ye89hKOcbR(k_0Jc6cH_P;*|ewFiiJ8|CJTgOi}D?HZxdc=77*rin;+x()!MpS
zy8Uq5_#R6YkZ>^rQPlxXOF{fK-zL$UbvLWmF$vjr3j1*vcw<Qgw(*>YuQdE6qrg8d
zUbjlZd)76G%b%2`ExYh1o*lU!zAwf?+g@A3o{W;I>eiTI`N1ahMV631!#Ye!I7bXI
zAM*{%G(Pzo5~SthD5yB`n_&GTVG|C16hI$Kn6GTMEO?q(Ml0!zr`&n*P<%dZ{mee`
z7cA9=za^pJ%fV+{Oy1VLDO}XOaS@Z>8m`T6lZdtD$iy@8PZl7hNH%$UzM?Euv0siK
z09G^jk;vOmXG2>2YYkhV_b(dp5<R5Bd#7&w2lbXKJ1VpZT?SB^(&$sHlfTJW{83B;
zQdCuf!}uUegLe$-WrHQqlBDZO^ZNO!reNhV3Wxmi;fYLDeQhH%c}9ywmojy<zE7JW
z$LyNOH>Kt9!amCpq`D2>*Q;m@t$q2b@q+tPBKP0`!DG0r{=KI!oNhU^<llr;@+QVm
z)+1Cg$TeUdvl1tdGxC#2Vx9iM9N8?dz~d$eEqXVe7C<&gQv=ic@(O*B5NT@Z+4+hc
z1l($*i#XX}6Sd6R4VY$6EP<DiJ#DgnzLQF4EW~XoSezYk87YQ+$0P=xs}%@MiO1J-
zM>5afEaAC3&R}amX#p@DBYVF>GLU2xP=#mtKWo}GK~?0g6V&C4ok^A0<kO?m(bgo6
zTb(!7UscpA#|q-piIECOzmLdZ>qvP%Mo$zB3~q-IlH(7T3yA>r(T%d6TlFhXhu7mr
zJWqc7#7B3K7h)6pdelb%eLB=g-}I5EY%Y^a!k=44i%G?8O5>v#52J*c&e%K<XGd>g
z<ELMbO?+k|uga5DD6!m2u;>C<-@N#rPZvpNmm^<*yVL|TZK`2D5sQt}D6i+doRI<P
z4{Hq`w9htr&IST(m|bIiixJKN(7BqWiL8;(rWTxCpd_=keY^02dWMj6>$~FPaP{bA
z|5cVfe~gx1i+9Bn|8J=6dPCFiB46WMPn9_O*P8!)!KON)LbXi(++duoc@*Sz*0Ix`
zA&@J=qEOO}J3}Qiy%u@KR^Dh|%-*Up`&;%KQv*+kDQ}3ki!;KHm6lMy71B4PONqpt
zUXkeCCM0mSB&xtv|BYDg$d3<?(B*IqV5~u0H#0TSw=Xk$C79vtWm*NAgi$V=arKtL
z616Dm*z1e>!zLS5VIIv6qr3l6GLxB(91|eFdh(b=5qhUwi?keZR@b0)EExUT*y?cf
zKkxM0VU3oALpZOItN^5B>ee72lQ`}@5JByi!VA`6(6QS|&8UMM0JzLptSGaqk~#AC
zl^SO8o8*+bBrimCvJXbmTVfl-I+Gi#)&uRbk?P1Ly(LH&muR6=()pit&n0Si+zX7_
zY??#XiFoGj6-&ZN%se(&=$MG2)pJtPHQ;A*yASzT$P-Pc5!1}A9*;Gj)aPU$%q!=8
zckP#?I(>@$Gf1V%tqKYHgwA<coVHIM^uu4z80|LL1I)b42Y(%>1!Llf{FX9YGQ32j
zvx9Tn=(20KJUnRAup44wB3LI0-w9vLvQs9%)-te+=&Br^G(#L<_PCVf^dJ9>6^taq
zl416}Xg5;5CkamcQjhL$Z&r>fF;*gZ4MUL=bg6PBFa_Z#xF)pi-xTD4-L$^KeA2&`
zceH3G=wtYfUF2dtvK*#UzCv7GHC+ac>ay^Jj4zavYG@t$>%uml00tCvcG!09-wACB
z8`~@18RkwBB^D{<2~VUw!h|{^k}#6>fn6NfDcv`%yOPFeL#aEdVMOT+)$KP)X6#@o
zV5wfsW!-(~0{l}o@kQf+xFMbHYW_2pLTVCLow<vyC_Ym#Rdy&0r)ih8vNPAvyT~`%
zJ=VdM%ziANDDRvCGNSxu9ukn->Ysu7vZee9>?P*N+V|q!CgcTPY2*~x>W@+rr+c#b
zn~?ii`kpb^Qy&MzSwTDhJ~!9erQ#-gSjR7_k9kWBChyh7A9AlndKno88!!xued#(?
zi^-I6pYmsMG(Ao(3i6_zFy`IiH$<5|6Pm5c4l+oz8j+ZNBx?2W{c9`!DNV5IXuVW@
zkIR7LXM5Ip2gksYMNK9?lAnQ;WH>AGO{E_U#Ll#fc9JG7M3VLhncW}<1$?$-K{r%q
zd<cSB1Xq7};v@b*(0ft|KD=et4qX$xD&y~M-YOUMwGVJ-w<UMaKXp-uLf1gSGl>M{
z*AKMCurpSobUd3i!LjLKzg|f+r~PvA49v?;e9(A~wJHp9GF;OmeaX;BHi<=+*#gYQ
zCxvE}pA$O?R=v<8fD*hIbO4&57ZOl#iIy}*Ja*c=4>UKV-5#+wN0%AChgA!-f`%3O
z<4)-8zIasD`q`b){;Q!<-V&WBQqH*IZxJE}0!9{^cA^aT2ty5<)HCvQ!|%KLwXNyz
zAqu3e!5U?(CZ|iOKR?+hxXz|b@M;+uy)aFlio#>-$}Vw#XJq)%O*vT9oj6o&-{L@w
zQi*z!OZwShmMCQDL}?>x2I0B{<0k8CQ*&cc#szMQm!IBLn0noE+|4bmP?1>Dk_|U}
z@Xo}}*!|A6x6ww&E45P^gf~T-WfqoM6!1u@Cq@>Ws?`jZZYdoWoGj9E$OH92x&26?
zN2?!3o$I%GXu7s7$&w;YgBfF>KyK3&kr_x#2oD|MSk*`tf%t7N=yUN@JDk=ynIKbv
z51z6G5_Za;p88}~?U;?zzllWs4ak!Nxk%U$O-o6%b&H=up^>15;<tb$bBV?J-~%Bf
z)dh(wG|*U*u*qOl5FZIU)1w=CT0dJD79b47W$~RtT|Oo1Z2}CVk9fuB_1W=NFImas
z%u_4lc|1!gL9vduRW-mQju(l~N|5}uc6KkDEYI6cI|C|50tg~8bd_$5)aC!6Vxs*q
zrZM@1IHKPZ6P>X<G!sAM)nG6u%|RRO;<!|>M~9GiOSB#!;pkk%j&fvok|P5;fT}Z#
zbu-%a`NVe(TRfab{3{6b%^(0|#b#;979!2&fC&Z1brM;I)A`VKkEb3)Cgm3WpiOI^
z;m+Lg1)JPyEj0r_X>aOVH(rFUu7)qfTm2!c-cyQ5QdrwHeMm#_GD|6fSg)T0&?eq0
zf;zYmNE_wdY3TTFz@CAxABC+O9a$dzc#nFy`i$0(Sg3Edo^}h))@V0l9ihZ~yeh`s
zp@F*Di+3$T`mIG1UB{rP>3Ri1%5;+Uhz9Rs5&bBN3*x(}Jud-`y4Y?8NtIRhz|!if
z0~&-BS`+!t5nnxL8C^~h38Fxh#!^z}AdSv0q0iH{P8UMe>fp@1Q661jbTfs}{r%^^
z1$DQJgs(5~kzAz`nN9&XeEReU`mSgk%o&s9lj=qlA<s;4_YwFJ8cipt*VzLpZ1lWZ
z+({@$&z=k{?TXQZlf2xY;96I^L<Vh;8e!Imo45!N!y0Hv*xRmmRtI~8OS)XtLv`(n
zdIeiyZSizO5>+*ZRHJE_>#ZVXKF0iRq&+^m{a!4bH#wR<teNJyXDpFB-U#!C#r*j2
zCI#beMf%Y>Tj3XYstHknc$8C^NgzSClX0~S?4K<dyl1p@j6$Pz2=L0NSD`!8?_7Eq
zS}peE4<s4{AUCcS%A8OH({#kISUZrXbXtlKW)(lg`kuV&6;FjNmxHpxG3I5`9`3vG
zLy=`dTe*6~@1${(_J*q-7UOMN%sfZI&P+5*{W1~R@pE&}XgD}5xuFbGCy2_xPr)r^
zSt=Zv87gJn={6z{bTvq#Z;dyq?GjJP`2nxE|JI?Kc~y=PBGkZfN6D8}`YC{tQGRbA
z;S1AuJo!;mMD?*c{Bax4NWJh`GiHJvM5wi5fosW@kS9Xg`(Mahra_5ekkCNquX8s-
zw&;hRcNUG{)Fw}UNlv)DBpQ_GE>}7h-r{WCU7tHKbmKppys+!>w{pE63psy3A|JU&
zK~{xHRN46ggM;SxbTzn-fVdMDdPs_N$Y1~g{{?Ci!XAnTqFJm`WuwAfA_0{ci_RJI
zWuN#PlX=%3E%M27HEUP}uK@taTNv~Bh<bTY=eO8AxRfnvE2X(CopL@PTePxp6JM=|
zh)LHgK69CZorh5;W7`LE=RJ}j(!WSzUAes|TYDd}%Io%>pUyFzarrSL3GqEs4tn@l
z%<#If&r7$=%#dgGj#AirZ|d*KwyrX9G*?m%B13IhWbK<Jn@i<U0usYNbr^$een7M(
zUhHh{PAr*D`2rP}%P@<R@U-}Btn|EpcvCXoydBRUK1H6^WEl<Lq{bGS+u=_^3$Q5Y
z;Vj7^<Rs5%Uq_sK2!6g;vf1)Z?|=^_K#VvAEu*VcS?79u_m`^8CREu@C^zaNB%Ouj
ze=)31h3F4^Yf(ZVW>T@kQ8hnaj^PsNis7QAj_MFA#u1_iauqdl*`u!4k&)nUEeN+~
zY>TKHWBXi^qUJ@IG8eRP!l(_+0D6<oKA~0UcJ4MQn(o05`gF(Mk`hT9$qj@RQaQdz
zQbm#0gww4LDbf(l#H*rAc#A9prOKkEzOA3n<a<Wgr_|MT)#9U9^K{c@>5d;wUC2%}
z+43G#p<C)l^CVG```J2<Ph{_A&cIoIl>uW)`M;Q=wA73Sr-VdTCkq@NT8h80@P4a6
zAY>_Qigf1%;M)m{0rlrzCw4PiL~20ZjyN{KWD|thmzmkgyuI<;YW>e?t~h3IsD%6d
zy4o9C!?4D;Xcnye29P5a(!1BOpeE{`7-`b06mWFcH-BD>Ffe8BVDYc>E-6NU#d5L=
zGo?z%=2~oqbxBw8fE6uFdsC6G56_Y;eSi;K12X?WaLy^g?1Sa;A!Nxr7NK_v^mU`-
zU0GrtobD<9*hk*ak_HoH<m3@;(iN;~x=c4_knWQ)TYvnNt9_Fh03*kg&o+AIX2AmS
znK#-$#5aMB!VcxOlUjeu&0IK?=9YFPiYxB1`P%c($oj-$H^o<#o^%5mBCn`a*%ciR
z+Qc6J;b<;jHyC<&g3W%4ilM-@YLtJmWNJP*xOgsp7pe&SVv2Pgg_r0rC9)6u2+7X)
zWlOreMyo(}Tgi2LBJ(vB0Uxb>S^~ODKhf1!f45_}S!vwPtLj3~_B|z!f+9J(&Bc&V
zig64cAQo?jNxlzJeWpl#ltq1_wV&YIzB@NM7HBVO{4Cv;Q@W2FD3<Sbrd&Ry!_{$K
z1a)mT?arpi6@{%s<#kW$U7kxTW*$`leJ032)Kah3^%;iC_ya|UvqJ8*PwWh4$~TN0
z!g4~eGi^5r3hU^;&*MT_M!EGhI9CQR<^hU4KeMK~DQiN-FC&d4=f{+U9)GS>moN=H
z&jwGJ2Xp<pN~d|f;Q-vVTUeLb(D+MJqh4TYS+_-1bK1BcbQF91%a3!abC$*bBF>d^
zQ{KgMF>|ENStw89K5fKJpe*-dgc^12=JB7hqu@--EXiZ)*HrV+V^bm!T<y}|?C@&K
z_SOkJNV=V0Sq+I@SA-Il4<DTmfC<}FR!j+AG&NZ=oXS9~_SFSpOV{YRUN~dSG}50l
zA`KzEf+^@)TTVp|zAtUH9>Lh*Uz`nC!!ww?6FwbAp#u=zV=A28==$)Q6oj#)(R~5g
z#L6`(hnK(rjYp6AeFXq^vw`1VZWxpx$wT6R79m#pJ&Ce!gZ4vq&0&<)F&mh9GH@GI
zyGm}6F2C${js}dYm3|<yhwvDM7DwrFSdN{o=TyTrpm1ALf(jiS)-V!TG(`Aw4J0&j
z6jtHdEfxpquZ`5%|BaqD@FJ!pa@=ptDzn2x+|0!zCz?x^2n#$z=m0lj$JV4l40Fzy
zCR}DRel%XP-omTkzHmo2pU_e~|1I#Bc!ckR+G1qD)vaa|TvXiVC#qCjIdkv$YJdv~
zR$n3>##2$mE`nn>!Qc2^#CpOGpL@4~=AL86v!SrI)0tLM6p2GzMq`lW7*${6qrrse
z@s8fJW&BF%>F2Sq`lI;VwLZd3lMkGt%Koj$#<nK;#=Aic>W56QrB-kYNrks16!^C4
z5vP#`CHpk2Fq>t_kU#a9f=k`*mrdb}FmdGbuZdrp`-g<=R_OtTlVj#3Y*nSfJx1IC
zIzdvbmLTm&PRs^2Zjl7P6J;bi`Ea2ZEePd|y75fSEsR~YE$Kb)2`xL!J0da_z099S
zMvN%<Z$!4miAhgEL+eKkuv>mxPW;x@hQI8lQG^QS6mBU%K>}HT+@aezjE%)u>Uj3C
zWcR&M47NxmLN<iWJ2<SlJ<WCo%Ml)-uknsR5aVD2V;HYOBcfIudFd#dxLpW$OBy)q
zBgP#E*%g82oWR}^;Oh&_g&=IS!}dpUA&x;CdKYS3jLPUzHfQTdHG7+pmZrT!4O&lv
z^ObEJcJB5vqWDrn624bfduj{;8S~8<A?{Pq@4gM+@P%I6brzF_7rTq(CeYR}Iu>Q)
zA)_-V@+dnBb)~yx=$26}CigkB)2N)JSErp&dCgwoJ+5K_g3RRo@_!+%bJ!u!m#vg1
zr%~h^9wtj!;>*E)Hu2)**zG_WGN`NUqHKJ#(;&RPOToN^h-PG8$`U`YA<yo5AMZ72
zlE83V+ce{i1QmZalH}D8BbOtjBEpp58<g>)%g92}s1w~!6;qBi8pYpC_Ev;qjd(Ug
zoJ0T&kio25dU2sTGB8|If}&rg2dZ5!Gi3bPRav~+2do}~c9Y#xWZHxFFnTAE>LIf;
zOp>7P!%ay0_JfT?!jU;xhn5jfQ2Z!P<<|BiOx^()U7a?DoEn}+4@~mzqpfJU*eHfk
z{4f|QWjlbY=HgY9h3v`P`f_oRmY1AwP<=8=9tgQoaf~rDy^&w>bxr=!3|DG&F<>4=
z!%T6*L!9RYc#UT*(K2w2`>#Wn3hGH$?_$>Wi6i-(A)Y$z5;`D{bT(ZwSoua$PQ-4M
z&0FvQkl}W}{P0DgS{^lno*|@SP^h(j&Y7U$^^rUEv~t{L5m23vBa0yQ9R2b`Uj7o0
zH<w+HMaLa8jqsX;9*By3c}CiLL9p12HW&eq7z;rs@R$InlrX}STnItFhR+m=#0bGg
zqXr{ft~5dC6N=;171a{quwKSXnmia!#TQjgxCm5srNN!AFK3UUIWY5RjK(uS{~k_m
zPeQED<g!vf<o^YQ?=u>iO2}-ORKXS7yt_o)5CC;KP;?BZ<3NcmNT*au%>-BdpFGk2
ztld^|dW-Sk5{5Cm%b_)7C+?LdB#!u<zbg`VrUIU~LRsY;_!-*BE$M^+g@8fpET3l%
ze;!V=iN{o~)g*4i-??61R<wZU<PMVcDZdGxPP{*@!D7(iZPM|L)c+p#8PV}N`bcv*
zR+D(JGO6fw7zg$A;_Ho|>5J)Y65h!Ki&mrelS5;C_3Q_mjXj@*312DRbJ5Xkz2o0P
z&6&bY;ir%)3FPf;JWQ1ruXC&iA`=1*W+GHRb^O6$;{dqPF+ou^N4nl>iQ*?be~%eD
z(0=g{;yI<LU>O3m&?@+(z57yU;feroht^h=h9|B@*&~8W5GV0>sUlM#nq8aZ^cg6_
zaEZU#LM=A0j=kMNvQ>P<xtKo%-^<Q<z*G9qzwBCD$9Wwdnyv(vOtiU&=TE|-PlHG>
zKTW&7AV_%WZVBDt$9`oJ@`)M?_vZrDw)B$2oONf~*u|bSgVN8i$*PpUVaK?vO(9V6
z0amsba_tr^FF`?jv_BDJCX)@?WGBQ%S;UXF#8*PhXDFZi4#VVE@6q$a6A5Ex5Xo~=
zCX8eUuO#xa!%W}0D1z)vo@R}Lial3<x*aS1ww_(A|0@+lUvf28KWY{v>QinqAiU|$
zEOquUU|du0dFME<pi8i;H2RJ%1x<@r*c?9Pz`GxNs`G(acYm3JNH;6yPH-ex^$=Wk
zD7dAAt09X}Rp1ln+?C2b<z<9^@$Cz;eGAu=@BE?7{pR5|lVPmqy7YY4#GUzG6hto9
zOjeKkJ}l;K1RS(VWK6>nEygW?qXIFx>!87GjB5rLSL>fhyLYVEf8V`cV~axH`;;$4
zmp&`~Rs~}apq}DdRch_QcNr*4fN{6XXAMBMA!d<HKB!pxnrg;-FJnrP8?1nR!}b^!
zVEU+&2Z-yifE7tYav4-G>M&3Uhd_itjWW;N6{6IV<E{asJ;wIL$VfVruq$2%yEOUi
zA}_7H<F3rppu@mg<rk{1T)aUX_0_L;#~Ybn1G9YD)H;=2N64tlAc<qfBaReGgQ;m9
z<f)xZ1PgQ&YpxEH4Q<h<?utAkvLcY-CJ7}cB=+=j9U>LdFgBp5^`hxG@}4m39!1Ja
zhW)V<C;}77k>Qj<M(X1KqI6$+;llYMBMCciUKJjh-2`*gvxUOVGsDf~W=i!Tk*Vgz
z?S{RjV{0cK7D1K+9P}1Vo6S@@@v8>hA-RkttlMy@Hv+B{&OVtmeAwI(W#7%44`!<2
zM)Fh41(>~}PbH49qL(`(G{^`?ZccqyUBtKQO)*XPc`^(-wY@3_ZP2xvXdQ@MUnk38
zBH)g*#*Wq(Ny5JWsgg?+N?Ny5WBKcX*G~1>7fAfs%+t#AA~kP+{|O(4V3mT>M_#iD
z|LbW8u(tTq_qR<N8OW1Tbn;_VR4t9j_>Vocg^|HfRA4mwbMcrhsB&kZA!O6$-#)S5
zdleG0_*Zyf+HJ{Gb&f|zbRlwxBbTrchbMeU7IFcJKc~yVH;i+B7t5Co`}V90QJIB6
z$ZuuBZ&J0Z-`$3*a2Q5dkVlx&0|INubj7tNc*M)Un-`=-547x7M9-DB>`q=h1-IRY
z4$H<rhK6I4Kw#Z*H2Zx%9OYYUxW^KaL2_a2@Ljz6^k*v`_{qj;Ng2=nB7hDOJzs{#
za`m_4WYri~QgmTDJpdz+Hu{1RfOG=b&9%Qu0c``mW{$)!U}3WVwM!4n_BoK^(f60L
z7yYLFB};OhVddwDey}hkS@52X<<06!886q^+$0B-GzG2E3%m^eP3_k{+kgLhe)_7~
zQxSv}+}SfGr)t<fxI7bo@d=`GmwxVy6p?WBa#y^mu2NWsi*cWxXXhI8Q4=xOh9n+x
za@Jtt{jpuTk6^|NWsBO?7*6hVMhJ!xCT%13K~HJ41gfAw?Ka4{u=qL2TQ`12qOONs
z!8E(2p`x=PEUTOffhX^!-kD7My~aT}n|Q@|&JUADo}P@C4l<4W0p%;2#iA9B@y=Fp
zB^M4hJ;U-e;m{+am7@Fe_~&BzSF)L5IqYqjbp|t=1>#EcsN1|u-dC{)ixp+pGMWsH
zq-?nLRG}X&>V?BHCU(q1Um%BZw@m&U?j4o0RL25hbJE6a(glR<-xYs+H7<OXfRwqg
zdHeo!Q|=zm*L=FMh3iF`G+!luB>t)G@8V~*T=Eoo)-qC<=%Fq>VKgbZ4h!(5w34p@
zfx~rGY$ygT$Y7KV5RIy)m0?Aqs{z*iVi8KNW8LsURK}L=mF$Aq8A`jtU_Nd@GvE`)
z$1isF9F)XUUtM%p*CMFZrDC(*1aKE9=Zv*>UtE64&Fg5A2W}lSFRmriS)aos0ft+L
zq68W}tO?wjQTTKPKvazO1s#R@TJwncR<d$FyA6dia{u!o%WNuk$RqT(6PF{0<}Q?&
zmwvfNf&z>b`Y`t527xJrd3agi#*amfns1G)BO^%h7@ttpx0MA8{T8H!igOvW{J_7e
z2;8>p)m-&N2x+iBc(Xe%d8(K@-+cPh9^*Msn=-}~z8p{Oumo1;u1R$;diUQ6C|gaF
zS<hO1EoDO@sq%JxxJs4FW)<Tbs4AJ=wVQS9oaSwnEF?#znUk$h?9(!=8i#W}ICXqi
zk1bfB(%6~L3W8up;;9yWUHxSz%9YiyRL&8k^TyfsDp`_PjAqu=Y<6Op-ML$I{r|1M
zT#$#o*zxgC7dD!IhlyV`m*SgNJn}24XG4;{zX1mlM0b!>?e<#x%3qQdiA0_JM`@xo
zVk(-WRApjzX8<)sx)53zx=-G@xEdHbV3Ew{6jzvymPi14o15MIQ%L0ZEjV<1>uvng
zmWojH<i8kDS|pv}<mZLb*=mFsWGth7`fA~rEQ#4HwPQD3XXz9hI1G!Xr@i*9muZL$
zejR0iI^n={j5y~tHk~XD2e`cYHS;q;+Gc`yH#onJN^FBXiru*J^0E@GPK-bKT&d3r
z#nGP8tz3g+HCS?~j4{u#;tUo4$QNfk8U(PuzNj&adx`~Rv|f~^{%I^gIg=dHK28Tq
zr_qYdh;1v=7b&$ztX9j7jF2IAB5zcci(a4)a>}R?q#vh?zr#;3D3u;17#4~tXS6ur
zZ*6d%ax)PLF%z+~l60YnUh)Lu_wJU0jOrC@a?}<`o~HQnPM+ZK&G(c>altKilipY|
zHw>)Tx(Wt&eNaplv6j3AUNG-&DoWeChbF+>4K{aT3$Mu@f1yuE-J&p#y=QOr*BD4e
z;xoQx#jK6hR=mE&grPmjMflgY7M76eJYkw@#raLwCCD(}G=v6eG1%d+ifVo`93qv9
zwRsaKa;-_nDAaUnrHFF-B=>V!&+tI9$TwsC|DaY|eneqaaCzZhn3k7Xk-WTn31&Dz
z%eXH;tXaRA&jXniM35vOG5eOMWlR*3^YQ7a4qiTByDi=bR55}ZM);lamktID^9CHL
zK=dZO3_2h=X1f1TCrKYm#fWsi+-ms^mUSSU6~v#sFB-Lz{LU;SF%ugSlgNokM?j<T
z7k+)aowl1!4rqqLqi>X~OtRr$ohV@SXWS^;U0tc#c>Yj9$y0XZ_ivsK?zPSD<r^=_
z$N4{cE}fg24!vcGn#U@EZTG)DU?6E=5OZPuR&N0W;<fJSYVPB|c0cJ-$&c_%5Ei%P
z)@M;D_h3#6VtA1sU;LM-c)ubAeETkWe0z2(S#j3<2XCFTDjwdFhsqd2_qwaju?@!a
zVec$xMI>e4$gaIYlKnMqqH-!vAm2+X7scM3^)NyH41*z#(QmWtC?QwFTY2@vBxqP_
zTm8v78Pn7K`43-<mBolpo`=Ev(NnIetV@(#&J$z}cBTDZ)nGh2malXNx)Hc9x=0D#
zW{TGh3IP;uNGq?>e$2CMY$=8hIb$#2yIN_)IzBMN!l8BNeS?bO<!810sj;j~?^4SC
zCf#botjFOqqfq2m$mOWVlU1V==S94YaCix=aqnyWABf((1Y7ciH^D}crFL%pjgw|G
zHg6@9ueH~CGJpn5Na#1PjUur<92HCyxA9awKMB^xUCMZou!kUsO6hqJ(TUHRG?0m=
zOg|t6OgCTIZAai@_F6P6$6jxJH-8k54$mkl;w(u+E(RCGh}DapLxGX91w&_0e}b+V
zjX2!*VvmPXFmq|qf|C;2AnAO9<4hx<WxpGf7fFT`x|JU#*teVY?=aSOFy;hHzHn3c
zvo0j3SueY-^Nx{W<qmH(IoUC|1wQmnOJ=iKdY_>I^D~(!lhP<yrR2j$*>w2qhbVsd
zT6U#=i`6(*T(z~+ZZ%39{I>Rn=OMik@=^P<@c&vIvFf$~>s}}Us6baIWs_J}x_Z;<
zOpcg(dnGK@Gzc>YgCWmP#Mk~y`hs))Xu)eaqU8&pW?#=WNSABT>pj;#lfba>N4iN|
zfe!C+4@PPbUH~`D*=1n!nFFEMF$vgaA;Q+l*33i1u1feRt7HKF+G)4JZ0Z)lFHjUV
z6(Qx_SlO-6m`dm+*zch0dX{(h!_lE^9~%}OQ95knojt_ZOSd(#29NyI2j#kt-1JXA
z)MwP(7@lub{gM`N2FxsHo{WQ+4b1xWlq=6pGuamV`q|E3TlmI$u6{U5B%FUA9RKt5
zyv8*}<;g{O7T3%_Fk!#9v8|l4S4#99WS@@F8ZU+77;}J^TQVD;x*7*c*2}F4IcaK2
zIY+&^I=lMyA4U8n=`)~8zz6YF6=9SaxP-5n@#vGaw@0VFq<~@t7)lmL=CqjPiz-Oc
zdpA;h<e1))*nrKSa5)_m8A-dD=WOV)P{<$0-PeUd2Y{IMw7nC--i|`W?TVFayZ!^a
zCm@)~0Ou43L5vL*<ZI+ifmqwZP@ACeI;gN%Y*8ph7^^Q~eX(^V4H0Gh5A<1VJCH0<
zx4JG#o3RZW&qdc83!lgxZfQrVP|&z4B#BziQ}cEAL^kyn&Hp9|U;TiQctGk1BvH<p
zV?j>u_^FxHK$girI!yUlNG{!9)Yxj!ULctYt?hmj25ZYZ6<{9gZYzm_?3cQBjzTv^
zsY*ADHSq@3b`1<1d<}T*YK-_7BSWeq)Y(uZV;1Lcro)&CK6QArTT<9KX@Nrq+fk;G
z0r~?<XmX46|8FeOP81+6_mzrRdKuKzttP)h$@$e%w78J_w6h+I)X%yaae;%RgMy@o
zp5)bzfcR5#i8@qFMxe;Bu5F3>o~##L2oqR%@jBQ52gw-0s|fl7Ll#AXWa=x8HvnVA
z)Q46}uCrcZ{&PC|FiAo-i~J_MPF$}Ibf~vy?4c@EwhczdM5Y(o^mkA8)tF=xE3#O3
zX=t(rAGzFt4yTdQA?`zeQGL&w@0mZd5gWe_r(amZ%lffe!v+4qqWjKboz^!VKxg7y
z&0O32bAy*<G_MKlZh5G!*Hry$^7FqjGF5GD81y)tYQOvRXZOpCRf5%~G66enoo1<e
zIh&>AAi+7-YId0u5oc?$zGc~7g8PJKMcj(+Z_HZ?aRS)r(<-z_>HL67R(GW&86lD+
zBZ6cTl39iLj@PBfOH*X98bbCa!1ur_hR~w1H;PcWxB57jMx5}eSBnW`e~v*QB7+YE
zYU6(Blk{$Qq>G`9uw9oRKAQg`sJs|Fv4SZ-*-uEOKfS6&zq7;3%Pvc2WO)pypz<$d
zTxS`<!tBWGva!sM4`yP1gC3B+`qpLVsDc&7PEf)Z&X>e5$fRN6iE7)gXFUbpw}SY_
zhLPPOeD2rxKTV^T_X=xb7{I`STS63sr9v>A8BS5McLO)|2p|c>glGw;908##_VkoV
zq+8gt_t@^jiQt|jRqgX+Q{@6ZD1t66SuP8-iAJAFkzqy~6{*ruaFQ(<>cnpl-u^4?
zch`0Ov<=J<m8J_xu=@eiFf`zLoutjK7?jnn8hzvtL8$A!^+a<&Ye~VUnC|Da4<{Kd
zm0Si1v_DSm>-LC*_7C_2jVYTg;)AF*rxP4hctO7#wfx{_Mx;EG8BWjPHi|2og92AZ
zdI<eqCq*3`K);nEEh6ykJV=xhH6MQdQ(e3;-R50L_ucTbUA?&A13+Vv|EpzdIA1?5
zXIqS~@BdTtN^UMOw71Ew`g-wsh%n!1$pAXD34eLY5h3yH9qIAzO->9gt(TPbrTC{}
z&=+g3c0%_m6d&zKT*VH4U?TyKc5*9am;o}Z;;Gr~aEfMIkU^s-Be$zz<SznzACF+*
zNca>2=ug2W*^Z8_i*482LpEZC<O`RAe7p8PhlkIdcl%Q+8l6-P#ZybW44AR#G`rr(
zR_RY2K{a`(eD|KJ;mZeN-I(X79KIz^F-z~;{T#fs4Bj51mhWH1p^k+_CwGuCXG=dI
z<kz+uog?dc7Aps@1HVFE@4!-R=i05+le2X8UNuZtc4Ml@`#-KkuruYqh|*MCQT5&<
zo<g}hOL*#>bQhu$$-bPholBF1D4+{?MfDgqt||6;j3E`+hwpw#{&~sELd3;QB!aAK
zutyX>tmnelGFQ>76N<CV*$P5EwjP8wEyjhS-#eJOqo)s(@_T|~Dd4+9W$6}jQ{Ejq
zil=j*#F8nbLFF}*n}5=JBxY#{$M7EGCWf;ab1P0;#kz@Cp?IK4B$ZWFV}VV>&?sIT
z(qp%n`5=(>ZHg8D9REXlFPzvZ2Z~JAszJ)9Jn9>|(&1cL-ktxajde?wpWH&aB<MJ!
z2wt$rw!ky-i;?<wVQ~BJKm2)GO-<Vv+v_~SlmcobPS=8dBwM54=O}&Brvp=h))d@r
zc*xpz)D>MANS4?*ByF%rlk6ZZ1y;MRcEKzGDGsBl1l+Wmk5f-{^B&5!b_kb}T>6>M
zSJ!Zp^7M4kI>FZx?ppR@=y!88SZRtx7s`<L)Zq3OJJ@hl0^}W(T$wX*7ZV<G-%*4C
zJMRkVXcHWN0lnOnAx4hSDhe_7kTyExBY!VhbYmLw)FyOfRtN0Z4*sT`q_EGc*2#e)
zwo*C;?Jw4za&qfpYq=3>oZDeVq3i>Ue9~!uly^*U!&^}(5Y@UW=OeoUtbChrhY{TO
z61bbFS7t9?X2mJG(w|Gbh~#+F$4(fKqEN&x@>?mLLhJtL!_bMn)CivWL$?Bd8?GCo
z;~m|Kqm&8tv&A(jWhjbZ#fB@SkNw?@N_$;E)eIF-P6$^Hguj;*dXQeXDm?2XRzB1p
z!_8-k=ECHoix$A73b^Ze{Yk3?M*^UMz#ak~inyzJnw*#)1qGMpZXx)FV30j=2zWp%
zWBejf=ey^OfYBJ*M!r)4?@|V?SauD4I5r51T~1`vYl!~s$?6~BUWhZ-<7|Y=&kq02
z>UALZ6HlLOkkTE-(i>hj6)tsVs7%#6J&lt)KmZ08Cp$ny9%OT+jjH|-Vu6L6A%9+O
zEV7WCI}Hh<!R$)W6j*l_vXeBU2&0stZn1aWi_dTIk%s=Rx<?nmZ8tY1K0L*puAz~b
zK+3$)9MKh8QG^`D)eZOPy;xiFzc03+U4gc~m4qxpPJ)kC@PjPLsCo+^PHt7FDi@iT
z$ZMAgo5O?$Z6?(tD`O15Q{w#Sm9oB_=;~p&DdJPJ4g(Ic)13NQDnK!W){ov;te6AD
zL3$>f!Bf13$g!IBn3~02XMtj1o5^EUZ=Y+?idvAM)D<RJU)l|ekEU#KKpX<j#dT1s
zn5Vu&{!aIcfaBozmSl6(t>1CG23rdkk7AJdczdomjiB83;Avtt`*2kLY6PF!f?@in
z$cJwb!rig&Zkj75O&Apd%@`(I>fhNF8$Q=`mSL1~MYBjssV1lPRG|GVJ#cO^5!%40
zEPXEvn^1X#4vWqAZ84g@7Ljz6XodDD9t&rUTDM<;8sKdIJS1>e4rL~?@Hc^r(ADQ`
zF-?Uz-trq<77B6P-DsC>Nt`%S)Th*jm!^T{k&2q51ciUy3^(&yn^;{}(>;>Mjqocm
zU?={5R&0hH$kwu7lTP!L>lU_W%X5$+Xc0#M1Y(5V$zWG>3x;Y}M{Xz~@1O{<W4U{c
zHg7@#+Tg_~CBiAkzo??XtHi@8GoxhVgu`E(**Tl90#;EAGzr*w1MEcB31zBa(W&uA
zSl9*WJ@jJA(m{;Zj83Q3AnlZMpgu~#(MZhgz{AAuWeQNzG`1g+E(CzNw>XnP6(Zq#
zLsuAgeEf(RKD6t)Z;f@_t8>Ztr#E?1eD`ZId*r^{Dcgf{y1+x|x58oWT};l;)7Hc)
ziSRXdsa)v+Uz%3Za^`wxp>knzHR@$c(DJdf9UcsXnr0N%!l)1la>Nfg!yyq1N*B$=
z6C({9nME(XS@S-YzBn8xWng=+s!`L0J(zHVfE^^d0Xsj>Oi|4Mvt>R16PGs(Wff}P
zy46(=k1>z;BmUUO@3Auyg8fmMPo?n&rQx3Rv*k0ZG3c^P!6brr{;}7vXiYv<ydkdY
zs#QD`egM;Gv_6Jn5he*!anhD-6jG4uO-mX>99TiXrT7)K1cEmNX&Y~VUTJU9b(w|2
zZDN-~(U$+>;`g}r#Er!E6v)8WM$7glB?pt|KS7Qaz1)fRw?LHt#9&tWs6fFCm6U|(
zpx)lwXaX$|OJS~Hqf17kya|9pnNz8Oq*i}<X;tjl`v$UG-6bQF9PvEjzTuCfbVu#?
zf5nS3QuIB*I4wgzb`(XUsg{ZpcsQ|YRE@<>B2Q2~Gx9voZ1HG8$QpzB4E%A`HFNxq
zZD5BLuHdUulC-d8Q5*F<X^r@-)z(H+hWosjl82tIXi-QKR$aa<>nz~+Uua~l%hkbw
ztyu@_0`QM_2;g2AS{_l7VYm$7;tIC>uR7n0^X}OF;O<#;q^S&_$t%t8clGvLh4y=m
z_CNV<w}!hT$maVU^}8+gAnrG5U!ITXYt%YRm^e6)dEF*?Y?mnFV<;Kfi$DZdN>Jh%
ziONT*6WXtx>s3*M!dKhGg+2(O)N20c42d{$Hx}ye(`si_IMOh8izB<l+Oc(`WTmjz
z86~y?PJJF|*A%PmE^}imS)(#(R3L9dStrn#MT%p)gO)@byCyLFus1=859)#?V{-<x
zSIIvTzl7+Pd!#w}{C%O{QDEbk52u{EM8DePG1xpj3vdFH+vvn36GW%HwxGewEj@gm
zX5BWY^eKy-<{?qH+MVz4V8ZMoap23n`PoC;ro-uW#y{mLYu#a$8Y#HbsbWMd)QAtK
z96kD>4=wz9QczS<hlv*OH;41DQ~agrulJ_I$vy|Nzq*QX<XxftEDiqQ7K1E17z82e
zm7ksXo-L94V>CrSr+C1ik1iD}+%Lz4ZSJ~O_ZJ;?F~G#TMt5P_g~s#p3B4;r>~BP|
z^n%yzg^*xjc+jtvV#Zxa!N4~J?GK_yBw78CC894k=*0@Lr%U^NlLT!Hs3a*v<}Z>|
zVPPs#mX_dRc@Z!<IW;n;dgREe<f9hEZyTch%8D%_|MuE9TM-G_AA;mpAe=_?bwA{r
z$UQJQ*@Y_AdUCGtPmZMo9kNh@EZd>=Dx^bgFlF{ShIf10|Hs~2HN@3)+rqfJyIW`+
zg1fr}cXxLP1b26LCj<@d?$TIrcY;H3Ih}o;SN8V{zKc`0eX)8~tr~O8F>20|*o+;#
z)c(i3P1khA4(Ut4e{_kl&c3QL8#(!t<R4v8D|8LHikt!7oBLb|L*%9Sv7RK4fE8Xe
zt04)^$vtW)OX@d<k7W!LmGn}NB061)C}V{OwdP77gb*z`3S$YA=58Yi7N0~NGb}^*
zyO#K+H@WjWh$APZNU4LHfohI(cYSC(-0`lYL7vI5{Dq|50VBGL;-H{Oey9zN+ScT_
zKv7{>UKMj*ra!?%iP3nHITaI!1fCxSkf6v7+bvry2|E;n9T>&Ku0GgKk=D&U^+_=q
zPC+G8@7jc=iOJ@CNmK1#B`ts75UMX>6^?Xy9fLtIG%b*FYe<0Y&r4%cAZtJ_(mpim
znHiL+Cm~}=@!rjB=~IxthF988o)WmK!C$CrcofJq7@|3WVSj@A2H0Zoh?2raoxUlK
z<h0hC@KR8zN}L#)R;@4fCk;qc4AW51ZniET);X8qSIRtoGLfrS5KD4J!9OIk)fvxe
zocpjbOVZ-Z5SZgBvt^>KAN+iTQR_1+a<IMhxIVw|T%jK>`u|-V$-cVGoqhLKS=SwB
zJs6p-mqQXgmmmccv!Kzaz4aj&Y=9^^qD2mx3GDb4<rX5rli*Mi1#q{qh)5=4!kSZs
zm0g~R$Zx<THAC_{1};_47(~)<-WIDnQFw&TdPYXJ!R2d7HcTpkCDY%sL==^hlW4@<
z7a6p&w82P((NKAWIuYWZD79}RNf7byI8A!y-%WqYM!K1)B!tl!+6L12u-wB9MA*B}
zW`y7_>d7H9D`QpViTQ;3lav(wE3NO$s;WRk%EngIscPNDyNfRi>^FkUTQ%wtM{KKf
z+hm#Zd`1>@CXkOJRF`!n&`by)>#GZ-n`?#t83{mt5JxR#Xjz@zr<wY&Px$IE3Z<{?
zCbpem;X_`m03neiY_|XVS3??Mlw{5CL5gCTk)5rZ+6ZQ&;5|Y+qksg{)aZ#)c)#SV
zBotgjTGQ7q2b0M9!J!NuUaf^?lSzuikI`78gP*MqKh4(+U)0?_Q~m=K^f5t&^O!Z<
zBt$QQy!W1-QZoRi{nbcJ|5}Y~3R8v9K%(iM`?4Qa9zhDcgq%^6vnf_2V-1;jI2h%7
zccqnsoSoc^w2FK&i3Cde*tD4x=tL1o?~AXTGjO^Jy@~iPG4M1}U$&y1?1RQ~bjGtx
z+3+PN1v1m{pQO=sW3g_nl2u)vF8**dd6^tba{6Iqj@RdK1{XU973p5XZbyNV<Nq>I
z4i@#GMOeJDcB2@rYPr8}5|jJ5u2j!I%f|weB(l%!8Vjg%Imw;idLz4{*)4F|@j7=n
zvQy$H6xSk%=bOXL&gL514lSwyL#70nT3pc5ijU5s(<-bZDXq(M{T8HLp5MaxaCYcq
z$IX+Cm+Kh#w_vgY4|KnVMVwQ?4-Aeq;M2yaK2Fyyk3v$9bnO_SJ}rS0cKU{De&;r<
z@Ap&O=gk|vDG&PeyC}{6&9&^`CN}7AOQ^88Npd^8D|g^;C4IZoJ)TE|q0M;&&xfji
z>hseXgh3+Yr^`a7ogSU0Y{-v4W+~CiNgm?YMmykG;(pV<<)&!pp4dXTIXCclWkZ7t
zNZ8~)-Op#hR5<$({DTXN0U072n7@0SZAM>CJ;G9sHoR?^8=A$jsx|vP<|;&Np)AEU
zsXWyYZsAE|B*QIjgsnUxl7#h>s=1a<03b~;PH%SHRf77TdR;H?&zgn1QSiOk*+Ea?
zL6lse^l6T)Zx|+-)$a#qLC^<5q;&iat&~z7Z#>|GU|P_@+443%Imj-C^^pp&F2g)s
ztw3NL6%srmeXn(YnnI&Jgx?3(*w&A4#jcbH*Q=?0E!R?$;*ii*`N%ngl_@&+tBdL$
zZCO9trj4W|4bx!VMJ%7OJ&|GKi6s9euaon;_4(0%te1(Zwl6c8!}n27;lagQ>iO@b
zVFqF%U7dH9JeE-SqcZrq=A$S1y1eoIqsFa2_QoNxSLne9BGQJ0IET6Esy@ldq4%?T
z)br2+5)711*SVr~?bsDH%&dzN$t||Ghy!8Z@c9V9lCj&w_qh+VlIb_vDHH&TfT&cp
zda1(Cr;j!Cu@=)r=G@r!W7dtDAfi(7pWTFTj?F$0X^W*vgb?>_ZMWV~=L;?>3V(ko
zd4vB90?%7AK)J-uDTw$>R5Fhpud=xe3_*gaQ?!Bz%%WLgbSRyJj~u#@D}gbR);Jp-
zHf`DuG43gDZM}Un40vq3^Gkvq<({(=Tt4UN7;x$4zCmk?PogxPi^lxumivd9J)c=m
z=81krlA!3JGx46Z747~9oB&^^-TLYGqr71g0n@L=sd1PJts{Qc>d%G<^^n<@W?2$*
zN5#n_p-Mr;ejdtEJI-t|m@QE(^3D#dNK({gWfTi^QZo2pdv(nC8D?uX4ftglvt=@2
z^#i2}CnZ`512H=#&};1`$zj|0Bd+o}q}I}7ycPBm^#Y}9GHwg-@xFvi{57pbssGK3
zZECK%wAd+jK?@nQx3!e>WC=KRZS&-Oy}o4b96M_&O%9X*6PBEoosu3uVV=SNWVWMR
z4^nA5?IcZ#qeK|ALz2xa#wbYF2K<68vvzS>sLLa?hr!BKpBFNAoK56^`6~Rv`f|OJ
z|Kk(6jJWo#tb`q<9mXdR9w785kQPyL6@^L#kAXyqAODzopf3wS%-0`!I@qpnrkM1l
z`C#wE&Rz_<-M^9dHvZStSzq+sVQH&{IT_!F_D=J+VxG*F%o1y?r=gODx!mRnW(5hl
zSPvxESQPdli-st>Io9DmdfK6+3<|fz&){aJVG|X*(zMYwRE}8TL`P)|d5PELLQ)P`
zI7FcS!;jtxQU6Z9Y-)~qR2wzz;7L|+iMlp#BK@1nYSM@vIwf-X{C;)Quk#~(@IFv~
zfc{^y!&`V;Y7Wi_@7H8+_AkkavEPu%5-nA_Usk{gG32tSh{~;p@Xs6T_{<X{6+Xkn
zn)O8*+p#|FTaNrHa{a=X$%@1tWNg5~vh8)l-_Qr6-D`vyI^USo<cPDjEGI>kiRWXS
zlm8vnka<!l<d)3S+vk4)#mRFNV_!~JU!tRq;L|1N0$=jPjoipigDZ1G^c2{fd8sw6
z&tbkbMdu0V9iY>Pt)KOD0G3Bv{6*|?9*5EF8Q_eZd@^i-3pxCz+?HRoS${&nV?>?V
zCJi$a)NojH*6(4hOvG*H*o+;5+nYzM{~nA#Wa5-tPUe=t>BX{)rx?TGd9KXY1=F15
zgVRIbT%7w)<AJ|GcDGR<S#|v_n^p65L<D81ZFk8n26<=?>uK%vb{vK_SqxNR4{Goe
zf_MEBiDBqL;ePI__^~h-XrdZ^_C`99(cny=)Nn>SY!LQT`Y0Ml5iQ*C%Z^(!08880
z1S*fI{YyH9t&+r>)rFT1ziu`4AGxW*T13}}y%zw#rkdJ+2x#eMG`50P>=tZh7a#X4
zwv&YJX-Dn`D>Q*Fa!*(7+maLBJ2SiUrW}pcBXRg+dbWUUVIq~{;YoUuQ8FK=%x7&q
z<3Z*P>D`jJA6<48qftgm<I9+=F8va3pZ7+^&z^Ac9Ue9$(~+}dP<W$B>2Bb!k86^N
zqCj`n9a{M@eado1xNmc6WdE>&*Sj8lH=5INtgZO*AK(Jz3rP9I7@Cu-+V0!8I7)9L
zXLt56Ed2L0E=unm`qw3PMsx?QrRCbb>DjV%+yrC2MV8-wJ{C?5r8J}?Q)$!Pc!lkh
zw*DC?Ks@S{!68`|Hc=|ZS}7fEN9^cnz8*MU|0&)3zPPT$#Tu{L%y&DJ2HQ<HxvBrz
z+Feb5udV3c_6UeaEgRI+A4a|9s|)=x^vus#)W<oI^v3kcd7rxu-Zi84QuR{i?=}mg
zkaDIm$=6}u*h_npx{<LqbHS{^vSMAPv{jLEuAv*kCQn1sbbYpj)yFDChh(4I$|vry
z?2GS{W(!hKnC31Yib3@b0Nj7m$!Mywp>PUq`CoK;=r?B|z~Z7}6;|)sf7KZ`bFrS6
zPx;~*IX*Fqy%Vd5j@i5%0KqtIHQl4Q;7l^H*_C-!95~XWfKtyBsIs5Ncf=5h32*mG
z_nw}Q=%LuXF1jb2jJA9BEN4b;sbZ$>_;|VZ;n4I_Y|~0gTZ{a5ONOof&!IOEUkHV6
za&QGnzA@+OKD8P`w>^`aJOJQD`Z>wUN<EH@P&9td`%TVlJZ^aqg|-Wu%rArc6TXS>
z;x$f2lEa-}oL$8e6-sqkkodyRbV-*;?Z&dc@FdrBE?$J@zICtL5F*I#hyO5}ecSDg
z+<o%@aeOPd?MX3?`Qgy@BDNnTW82wP)bO9+QB{$^j|!nzUu`op!m0_U`Q<~gN9j$<
z;q!}a2kgv66FYbq5m7{3X`6qOEk#gwlT3wG9Khx73x!#xEE3C4^nQ4%Vc)2`wE$zg
z@hEL9mUUZkdw^8hEae0?>B-i9rwnTXorTk58y*?9Vak`m@01^c*ZIHrwg6<BkAJYS
zHU2X%*Pe5hc8C@Z@ohyi9U=!g8*7}jkU3d__`@m<?T-{4xZ!CuuIf~Z=#=rv__Fmz
z%l@$?4QC)tn>(-s&OK)qC%3(=|1fqp4ei2TX@q&*DdUrDPKh#^ik*H)y^nJg9f^V2
z^eBq=O^<zZk1q1Vo;Zkp{@3$&d^#<+`A1{UxltQ#-!cFV?SF1y9u+*+OFhS_+iBn3
zF)L;KMq?5Jsi*a$NHtwTd&5jhZP>$%i|Z1LxkIoDQy8#VMIAhb_apsz46-d;CD7Se
z&j^QbSw^qsdm0;$^rFZ@kW#w*(O-h+uT1izbK^=rp+MCvf2}9D7y)(03Hon|&ZZ`a
z1&@s~r;#(Gvejhd;I#ZBzBoK7*IlEwTo3cj^wT#1_YQ?=6X}_1w(sjn3l8JYD);qz
znj_aO;*)f_ympk52RXNBLzXx>>@?G8!2%p8G6n)V?d;n}lR`w7g!Qv@6CeBjx{iK7
zSs>4`3qd>NzYtC0axJG3rOo6JWeEF&{RInGs1;W(VWJ44nS2yZTNUYGN@QIWiB2FW
zvE_#h&fX74PG`QU-DXM)_@lD96H%HkgAF@_V30yNISJ6H)77PG2o1f(a4cqM(g0d=
z4sQg-BQtnDqE?f=r~Vjwbx>X6A|nV=mH!J;TPYxFGHQNl+VzC!k#|san6fpe3G6Z@
zqDB1(r8B{=dtm!PH2nz=(pr{Z*%>mr4_jfFxfB=!y37l=bo8@JLr5^*M{Xph3$CRm
zz=Zd!akh*sS0w-SOtVLP&fQYnQ|PW)zxZ|Q`?wn+ZNqVqcnzKCClivAKVhze*oj9`
z{~fLq{+3QJI7rqkdsIHJeAI5Je!y<bZ@({HRDKje3VG*!$t#~vXl_hhXa9&6aNhoC
zRA~L|JVQmUv;C1I{%%QAVbbg`Ni}+%40q1cXL+Zf^m~Wi;>B`sNB-ku@m-M7kA36g
zGiJ&WlN^{ynRAF#wDn~w`pTweUQ=fHM;pY?T#clYZhMKG<qxc{K!McO<&P~67mU2e
zd4<ZOPa8_J7)z2~t5p7L{7<BJ{P;er2_xsAhrD+D!Thi$eo2M(`;;(nz?8%7O^3Q)
z*vswccJZ-TH1u-H$18dz+}gUE`LR^?zUVaE4Axq--By(JA9MgTYs#--O|Ihq_^@?5
zu1bRytXlcdo(i0?MKQ32?>T-dIw-WoLm_cnvO)0`+4&sa6O=%3uuum2{nJd~%(Z4|
zF@L^E7S>U(B^okUAM@jbesy3q?1Evc=)`g{MqzPP@USlGw@4<Gk_6jTgZ)0Mr8z6u
zh5BCN_Ft#lxYdu$ZEyLd=xP>MX6l0K@&|M%4hnJZ+pdhxjF9=X_!|CgNPAsY5Br_m
z`O4p&4?nR?38h^HGT#+FiaOX=)=2wy^;Y^O6|;XYoIr5cDnA|-TQa{~%<9T-RQA7i
zDG+*6&&zt#w7vIThv4_wdDzPmAl)h3AXU43hkI{celz}afvS5J`SytTE-)_U5Rb3|
zeJ%8(jN3<$%0D)$HtDT|Muv1xHS4P5NbE+liaP=2d8gG!ux8loy5;MZ`oR<2n~zXm
z&r3~E517M))a<4b0$S@4=DIlg{?-O5c5i$S9;w*9@?-e*mOiO4#iQp@YJUxCpZeZb
z{P!K^eJDi)e!fkqk7>a17XAxj2N{Ijw;o~VUesB-{`-m9xCda*URQ))OAqe3#w^RB
zRH#%woW%tk2;k@bYYEM3;b?0|E;FYE&=|N082AmEuCx||iXWr>oM<s->X&;S)y}lt
z8f>mlzDtw?#aMB3rC+h~*Jr;!g=2bF*lY%V_l8a7OW|F2E3xTAzblc_?ATK|Mx$LI
zUzlaRG9$v1;>Px&yD2gQSVAW07ogN{TjgL*PWF9og9QpS2;GCuHNW3o22xeQ?y2^=
zr3Bx~D&30b97)K)6qo^Xzw5ZP+l*!2F^A=-T(BNYNA#dg!SPexf0IY$Nu`lyVnjI5
zE{Q@MP_kKqh~CxGL)kCbZ@Ze0PRjXgPz&jtS+IutF}<n!+0t<_=i7Lo)Z38ofyHG_
z)=$2BDy9g54vZGQr&I^c23)DNVA8eF;OXM3pUeSUtq7I!!?Z3`%DB`Kwr8vrlOnG^
z`~`DbZV=7GfzgV?*}cY7LO9{U{_lxK?>oYa$d3|So<axY0mbuA)0>37W1{z9qkWY>
zV8#tU15m_KxBGr@^LwzD`b(XLZ&=Tt<p$DM8LhMZZz3iuU`YTvQ>4fGp$ulv#yK6n
zc!_Rjv3Gy(wR&oEAs&GIxn*pft!ksv*+5v~uCVpnFwL_tS+?y>?<~*sD-~o$c=75^
zlAtKhK_7n(5>D=yjloE6Ip_33HclZK*d+B_XcF7^!pCEvDv<e};Dv4dooXN)I6#Yi
zq(BUPThI{B!-LJhL(JgKpyf+I?3I?&moVhvb<?30BGx#h!97AHRUVV5ROEkMNd-x(
z2BR49g*VZHtt(<=_h$i`cjjEQJDI!J*!@V?Ddicu0}A)z%N}#bhVus;%4@58Es5y6
zzO_-i`gtBr6IVBa8~5a5A$Lp8d22I~0)LU>aH!FO8AJ>wsMU1IG-;$<Fg-l6Rn2$C
zeG(bP`^0^>2!t5bh(Kf9_Lb%}M!(eTCd$Y*KFPTH|DD7AZ5p>So6>G%BgWFi>b$*`
z&?>oO-3W2s6Z>qKX}1!mx@HyX^awNIJb7r@n@P<_D6zp|NfX_%8&2n3rEfCr>f9bS
zIMy?5<q-n&TT{t3ioGe!?r8mVvYZ|Ao=M}qd;#Du@D*rSdsz`KkDgt&P#*X0LRKnN
zDk8@oJN6P(&a@)_K5R6(3v`u`_%Bgq6x+3b%w1<7qK3&i(%&T)?#F!bqHQ)!G<UN3
z{+xbpYO5dIo>p>fhU8|BfA&ch18Kc`1A3q0pt{4Mf%eJL@4Of&VrVVLQq@aY<&crK
z@m7Q6A!pj!c+((S<c0Yit7LttNG1QSM*s@P3U>lS%b&3_-fP^VYE@Q=AZrq@ba!iM
z-{U`N$>Gycd#ixhHbvA*S7J5RVXN&ZoByq|&EAqp@G6@!Xf)fh5&Nurs^X8XZYUO>
zvAdusx_X-9o;i*!nm?ZR{NXK?&XW-y5@tr$VY5=En8zZPE7S7JW;f@c4Ye6e+IO-6
zd9+c0e`=&}Y-$2PrB(29=bjBk)SSjs6@aNuWQCHwvlkB6`fkb*=2Fe6$!2-_vGQ-q
zl#Uma7P%@K`I`kR1LmxX_4bDv_=>6IY@Js34iGG|@%I4CX#1Ys9*@?YmShYKloo0!
z@jN?PIsSy#+)0^5zKVfH2Wk&^S>;uGFT?$)P!%;$DdfM8s~SvUI}II6%!2x9otJ^F
zH^v^1&iL;MBca-+T4tS)@#i$lyegQ6(Tlte!DT0jb6(RRsPTPibORhjK@JRF8(eQ$
zJ2!gaqUWQO_fO@7H_7DOrEuLuW}i?wPfh~0frU-Gt5hFh*7buvrQw(z;cC-rNlh|O
z$GH9SoYQNP>?rAl?)6D<Cn5*h+^A;ni!;-0#q0|BBbhBut1#D|!H*pxJgerx-Fsmy
z$Xf-a?CxS1Je$P+g*|bm4shizkCInaJvPXw=J72z7+A95X_ea-v17BzSJq<)Y1T4d
z#&&V!4T)LhRc%Z7LsIf9V`YNq4_2r8GN?hjrRqP52Sm*=E7h3*#o1^6h>eJXBNjL)
z|7BMzpskiP$}1WsXJxPOn|e=hU!O*55W*!7)!ApzG4kzjtJXcB*$BDuLtmpQo)k&V
zE)vRu3JbB~&!dEbmu;^qS*TZ;{T&;_Ny1Y3Yv**cE#(6=feqMDdiI<h;h`AS--6Pi
zNU7*a!6;=I1^O)faYW@Zkzxq+j$)7p<!-wfjq0U1_sSiE<t$WjE5Q^<D4(3$aNid7
z3BvaX6+^;@F!1q;in))u;xZm#dD-R%<T>Bhs)b%yR~#UN93aIMOV)b9MBDGfw?H*v
zb%exf&@@bEt4iK5U-r30AH1a2OV@<Qc_af$fRH<oyQV6<PFBkcsdHzf!{N$3^nx^t
z>Te#um99Tgoz2D1!K)qa_0SLeEwoyK-CH0lnFu!KYVz^qw~{^rm3*3s$)@q+Z8C@G
zw^wX&L%#K!;kp}mA=H!pUNri#meBg&O!4OLpjZ7DiB11IG&BDli97#}@qbl69sJKw
zFZ)-T&ir@Ovi%!Ty#J2W%73lp#NSaR|F23CgZ~-k|JIcL-=lFO|7X7c--Q4F@-vei
z^S}$+=<vLpFITEH=(_0ncvsBj-T3yfakW;h%LUi=u<3Kzc9gf-<+J6v^^KU%BgAkS
zVdvY+edrYmF>j;e5{h4k$N6fp6zVd9|5~&CTAQoomGJAYYTaa5jF88xweRYH2vol)
zq)HLrtNB19sfZZsW=Ey#K0{SiF{!`>tA{jM`_;z4gws=-D`Br#40{UyXdFg_P>39(
zQs!^o2ti~~MZz*L<2`?OmO>OEvekv3E;3x>jy;C?lZ?H-P5B^6`Kl%NvH6#DxOS>z
z)f=YN|4Eoj%{t`LnW{9Zbt)Q-`huQhx3x2@Haoo=tqqExWw!$}P=#Kv*4tdiQ1il5
z4<|Ekor>BbM}=&EF{~oIul%$OCKcUgeiGRZOu%QiP?iVYoy_;4?yy@<|ER7G1x*6U
zBealx=vJj_`4_l|FB#uCjQd0Sf?*#tPnT**>r`#2h2vy3BX=Rr@Hwo2%k`#GaYRoE
za}ns2lCcDzb>QDoG>e=tUQ4%(2f}7A6UfE3&$c~}frVJo<lEs1BC=PW+r5EkivE4`
zKP_k0a9X4TDiiF-S@gLdi8CTzulS65!LEQBS7K(5->&*#pInk*A-r+X%4Ndwen6q=
z^2-Ixqs1l_8R8s7vGqRf49u!<)7H5MU`V8uUlm}SLxcm0gTdI!MYlU=>z4<f_8FWH
ztpTa=3}!b@S!~2i2yJ|+jJahDfJ^|dDqdc1L0J_>41-k;!~+cy^7j3!{hxTnKJDIu
zm>M|!uQgQ++KH`fK$>pXld`gxEC&y?Ce#Hor{CZs<6Y(eeHN0Cd;DjJmGXqvVr?xo
zxikjtPOs}CiReeqNZ?$l+(~+){PC<5seWOj%Yp1ObhSZOdrb|>*Vs-(n*Y(~KCN^g
z<@prg=FxN5uX5ZdZwV;CzXCm#<e>adJi{=~B{l@k<pcz!3OKBp6>})AM4q&AFcrl~
z5<RFypdc{D33mqF$a#6C!ZLDXDrOcC#U@~?@fWV5G*HV6$U}1`zfcSY8IIFBV<lpT
zxRR0Mzs`+egrO^_$eXZ~aX-ri!J%<GtaBfWIo=M#W@%XIwwhTWqK9I1e}T&t9H0-R
zcKt*Na4dx|>xM>kb5g*8bMw{PDga#vDlAn9RftTLRu<jwrob`1lu}C;trX%Bh?&o3
zj<7JsHjd0|Ua_2j$povYfgwnoC`K2qmRRw{**C~T`<)+WTl`Vns-Vwq=15|tV0V`-
z-FlA6w`J~}$6^xim}v(kv}zu-N3ALg<Q=N&%{~Ryv$*G~!9F@1*o+0!c&k)+IAbS;
zGFNeJp{spGgWDVIoOz^yx<aCa!#kAE<Ij9SN8@^NGjQTl?g1lN5mSjL>tMVnjOn(E
zN;=cC0#MUQkOSF{^f~MQhC<mfPAsxNZOXJybIK2lx{wHkg!zmxXRP#M_7vW!pK>lf
z#R&@tew12;U?Nc^nLP?8ur})`^SUq#MuD^I<sKJIlAu9g6I$gTdiqTXK6Jla?1csC
z5b~mzvGJnQgGY(cP8iXsM9Bq@hjXeZiA<pssDW_B>hM^TZzNkCFU$%1cr|c2L?S))
zckd5zH54^&EYTyySQdS^)7c0i`~hKQGW)e=Mpn~+0ynttPkO)U*pd7iBVXL6Q5XHY
z%c(eTPtYFw0=mxTf&qMfuU^x5sf3FFCb4b>GcKtX9x*{pQHRZgYS|&h&#{?lm^->j
zYp}c`(~w&MYV6+o{VU1oNl}SKBBaQ5;KeS-@fV;Mz+u!$(O2%tB1?vZMJWl|EsMF-
zAjwJ`N)3p;)MFxI5@_eudpqtf>rrOwA*V!LKU8LLD)&5FMsG!@2Xz9nyRLXh50>4O
zJ%CqevBO`Ufz(=|c9tQ4)V(n56>>WU!jgEAUG7HyWgcp>&4GXdmXnJ#3#ghdz10Rp
z_UErM&~pRGwVh>Z_N}_*Fg96ep6Ly2%4Uk0F8zc386uxXC3T~AZ@XcnuAfAa!@s+K
zyge)}ET}b3qxJGXZU-+MjHQKSBMN#leR0?^C!7{wIG-Q}Z&^e`sb;+^1j7!&X|czI
zI%jc<1Ma!vQl6-+cC<$CPiNUcpf0veD{qbLIUjeE6T!%G>B1?8@kbp=#@vn-JGRTO
zv&)ijdhB%PWtg2U*H6{DSL?Qf4W}u<@^_7v$c|7alRfdoF&NZXFU&jljU&*E5L~6d
zh|6YXJB$T37+dzTobq_)=3rVc?swy{m<~pue|x?=S*V=1cNh;C9}cE*h^x?WVjeS}
z_GAqoB|hK|LP$e^60VZ{(bPHxEe^iHB@E426O4|dC%eM!$~Pm1)LveOD95d?$wQR9
z@r%P4xD6_1tx}V)cZEeF4MQgM$kuYZ{lA~M8*4I+LQ(%wyMRJQ{3xZPuMBz;Q)|2h
zfhFGd#tAQ*mMmF$hF)liao|H!{E#Q<Im*<h<lwI8#4>(5c#m+^8U>nf1&ai1X3|H~
zxd641esL$U>o?KxG)DRAy2VLp2E6s<aaY!i*l0NZE}w_8Qsu@?czzWu_1%)JPgdCA
z^k9quzgr!gm<Kd}!R^#!N;$1_%aKs_Y0x>*1+q23hH`$rv&#CKd`_s(wz54Dmug$Q
zZ?mF0|BKahc>O!L*Nexw7ZGhWvYz*GT*AJ!8p(^E1)SWryzyNE<CB{)N3tKhiXNP=
z#N+8gdrW>q?#{1Z*vECx-VKC3!wSx+`g=7sV4$cepFn-$IEJaqcGRF|lt^4vY^VG>
z3`DqQ<=PRaA@2}G#qnGzVjZwc_O7#cyDzvrx;~(BZh@v)|3a`;xQsSo=CgQzq}{$Z
zXUHXVJL029z{1zNV{p^1H8aV-4U{WV>>xFTRcdvbqJGu?(C_g0bGm5z>xXum3pLbD
zR+{_oUxAiSHwTT~&=kR>CZc4IeUORdA-f6T9#B0oNO|THY1hoep>Zfl*E{K&8@<dS
z!W`0pIQzg=LRr}NxhP^Z=Et3tN&H_8$nX_pt@DwR8GvP>&zZr&Fr?21vXjJU^`PAa
zt_XEAQ!Y;p7TCBB_nrjn*XC>W2OS%WSu&}}7JMhgyB~fR;n>q*<`9?H;cGi=0|Ksd
zDYZ7ECfw{V>~_$#NTlOtZ_j_gu&2hzW2(tMPs6+%)SJPW-JkVfL3k3WZRq+)SjjXq
z0O-4RC5|SkHoob-vt{vnwv8>1lb;oSM{&>7jG5;Z&}pV+U2An+=@ubI-YP!>?>*k?
z5kd-a6mtpFMV(I9l}o$UG$5<dbdy@cj=>><P*$fFOYNL#uoh7d?<UlOxS$D&@=4kL
z4z9!SrKpUA-=(nZI(<#vRDjkU7R#`Vh7wOk#Vi6c6_#LMBpBvEU;2Nl0lqXK>&@00
z3bp3`{{4ID)8gXdEOSL+A-LZXKxBJW9Ej9kE#lV}Nikp;1!g_ht$e<N`(C3`lp#)e
zh09qj)5wc{4QhICCa3s1@KC&QfljPKvG7SOw=mV6J*hN%0gY7+Oelbq#dLQtGC7qj
z<h`HyaU`A;HRhWwp})<uQA)k_e3^jHy|4-gC+C;KS?t1wpx&?42wQc=kRiQ`g~AbF
zJ&lx4Pv1p|xPLorv^P0yta`m7h&t><uG6b)Y9@C<=-?d-Zr`00u~VX}n)hKB)4Why
ziCEihbrY}FAMT??p(KUMiCN!}mxSZyuoJPppyQ9bpEw0MWhrktR6`Tqz`K)NKul}l
z#JLQ|K;N=8@H4Nb*F>N*DJk64)vF(xwV`eGV8j$6l5K)bm$WgGq|MO<45PRu&k4wJ
z{i#qXZuh+O>zIlccBs6$k`6>nsA9rRA<~^?*0ifpQ?^p(HuHa}=C44(TKH+H#Hj&P
zg99J_OY%wz&V#apboft|%`U}qvAilmOAM`U$CTpTosNdy2%2KoH<S@&-mp0GuwX?4
z=n4{HJKKnLM*pUppf!6%TEdmR=?#RWRm$UcKV3MPFMoQdA0a6=Tz1<Xgoi6ZLz4(I
zMBu4*JDkLi66@$?ek=V}N_JQ&j)mz*{#t@@?(+KR3<r)Xu~)2`vnM+eN6hE@cvUDC
zPWAz0zFcp^<V86RElg6b6_3SJ5%}n5gbzTN!eW8Jg!YL51klmIsXVqi?|uDq>Rv?v
zATb2H;(u6og-zYoyT9C0BKbvL3d#%;KO!&&3!M;3HdY|fx8=zP{)R_$?BSoAEjvJ%
z3#$fA;U*#;7b-mlI)v5+pNET$E*~y^6JU*g$FXP2+_X4agXstgN;zmB1wjPTRAus<
z0lNh_E`jgD4L8TzJ7TJE`yT0Xb?_#0Oa+X(&B8q(LX@GqMhTWNmBWKcFGQRYH+mp8
z)KA?ufRPLF<Vjof5*?j&pQ;(sXurm(jgkOy2Hmrk(oAO$N(c6aV`F6(R_B3W4(bi2
zb*)wAv&SwM>uu~wmQ!Ukw(nyQ@ScD|=#Ur^0fN&xdr@4cNOB+GV{e<P@fUcpdb^Ew
z_YMqiI$s}(h+bV0wIsE(1Om0Zo5MdY=vbm#-QV~=fy)8cVx@EWJi~0IXxu>e%3@cx
zw$jYg)adBV$7IX>a&q7>gL}RCh7gNX2S6eLcMOmQO-in(%3D}lkyJeBTDaQo=hLBR
z+%3hsU%HN6jApN08&E4gswc>$w?{KQ_p7$dJ+C*0?>Ff}uREymLhsyluxf-><6yEY
zI&w~O3*fz|dt?<en5hv=8Fa&dMACNaD>2i>Qn_^9IdssMSvQ`nB>41tJ9FE%p0fP|
z85IQYa!!_g70A3+$H>;t!LtyrEo&}cw}}D}zV=CfyuXE`lKR~pt8ho}mh187e1}S*
z$6`iX5<?YOn3Na&4Vz1L7n5R_tVv}HkO;^|`F@<k<66+Yp;HskjGh#_s`#`|IexZc
zo{Fut>uo;dEw&Vjh<p6dIrqD^#}731paxI}L%4>oxA`BhXFq59hl0?doX9x-0G+|S
zz>NE=Wy72~Z6O^KK4-(gxo``&u&jS~;~UTi<FdOTLr%xDg5_n#W9lnCg0LKGH%`wc
zkGPuVyA-Y$c2(O99&3Xm$QS(f3`E4p1RSTv08=sX`$y3gt4G^Zv27Hgbb$-KbTF+D
z&*D~8u&5+C9oMw~H)0J?mwBRzFe5eH1)*)6?T7n(^gBxV&UaBm`R_1nbL9J6@K`k%
z1)%Cf7C=|O1%y?B(9{Uh!5a@;W!`KVP!LPN=fS|C%)(37j>lpoe2c5EtP4x&CVX6;
z??(`o>kxH_81XyPGA}SktogFzQqYHf-@|7W3#}>@Lm6#BW|YT`L$ZmXRxk$yo1kp6
zH*G2hs`5+KWx=8Fi>q7>`ht9`WI$7kFG-2%NL&KL!j-O8aaJV_p+~o6EIH(Qn=mnR
z=M}^{85p5cIVj!_fPZzw=)r-1pQB_n)8Pn%ahgHFXM>75z`?nhLSSM=G9dALGzPOc
z=8El4EH%T;?fQc(5fc#S6g<GF`iC$RHjw1#{pGU!Gqzd7b|o5~tniaCB@&liGM8WC
z7kcUjVic*6>(5v;MyMR|V0a0oz7u~nF;L_eJNa|A;tEQ1fjchO{YIp#6j!}Nsp7`K
zq2IDY%x?;nb9W}aFlHp}jClCxD?iKY>k}<5tOQZADnVcesfi{O5UvFQMN;8)B^SWz
zvOhYV%g0rIcva=O;{dT8IQ;WT;8Q-cUSB4=rKpC_pHp)uXvV$HY8~<bKo(S>g(WDd
z2AcPp+xYPadqc>R2>Rl+);}E~hIm|Ui{LqKCY>VC!hNHT=?JuNJZ}mJBS1h4z`ya%
zc9K|WkV0_!;&dzc{<y~?3^uIQ?)ItrmC6=oU6$Qq60D}+B^^j`0nzTdV=!tfL%RYv
zoX$nm17BEpO$rn**a>ni(d5~9*Hh8gNABVT5-a$QmS%&f549_%QwO+yYO*t~VY{34
zKp65JGNN*i-`fpi%|D=@vex10h)39cHz((Gl*i|Z@>Q44<_c&B5h0h?5@euGQDfBZ
z)ZCaPVCDHT{)Ox#Ee?=FN|{R$>C{R@*JlNn^#G!pb85_tpy@$44x$k$kSHQY?Xe-`
zU{hh&rC)9F|9A%)gCDVIa`YSp;o$MAeoamAtrYZeNFHgdQcISO25jT%<bgxNoUJzf
z-W`gbVgR25&96}o;!@4i(;0{h3PaynwNRNl1-?Iy2-RrSL)fe`=EG_?n89--Ijz0_
zYU{@_hFRg*W@dq5c`8%L-cC7j2MXg}A-ahaL$>N#i=sjKwG%rSTc<ODNpE-Qj$#L>
z1BsJ~5AXd+py>XBApbRaK6@xkLfW{ns;?XjR;hH>K_&l=U&txA0xwdBkz4ZR>C`_H
zruoxxs~a?vK2Hbf)Y5fhyS_z;GPH^o2*(k|xD?1iXczNOY+ZSDh<J1%@$O9MXo%)w
zS>lhvDKdgMM+xlyiV^I>9rHVMBAc>BS+D(w%tS(dL<Dp?c1UjZUe_iSr$8KV9W=Qs
zT7F4Tzl!|(fF9vy^IGKMGO({tv4mWr4<p2Zv66}`?1M`XP|K*0yw53Mjr@&Ye|Bw0
z$@aWdxq<8TG0H1t2wwF<iiM-R&F8<XncRLUksq~!Tyg`!tAZa?2^Ki0F$)OJ{mJ+O
z7|ye?&!q387OOO8vOfR*<pRyIF_Fe-YiAdNFr#<9mIY*>@TPF20w8Zc)cU^x+*Vka
zwCardK<d^BxrPyEyEi<el@(aaIb$U%7j^4k056MCqTXyyG{hg+RtT+7hWnPbE{GeL
zfo0Hcx*deY2S_`ql*wm8oHNd>j~zY-ZQ`4!X0H!LeA=6E2<0VH#IHeIAlgRwif*-3
zqwmU4|IfsyW4A)^61S2TK0)gg)Zp_kFpH5@2ZnU#Q7XfoiTa-uDa)gIJ>CS87K!j;
z#ri!_U_g#`CwY{YP^Gc(01c;+%=S{nWAH=J&;pBQoylp;Q6Wy8QXmduEqv){ybQjc
zl!9bRNc|t6#DU~%XqMzpk_Fyt&E5#6Ues(bhY25qR9#3soAdRy+oz-aavpPUuEcy7
z+jVobM-Sh2&jQ$x95I?gv64zOKdKP0;us`NQAV9cvYG%Km{Tf_RNNohD$U~f$k2-v
zmIH{?@Q`R$!#fn4Ni?`wS+sdxyUhMih@@G<I?X!1Dp6XSbSTcyXlDbcLcSB{*Z_?m
z0lao*N)|G45KLO<PUxwMs>8^6sX8aHNsF7@Kxp^2Lc;)s8Nn9@W!`TMP(YLE9G*M7
zQ95c+tDD8wR6dih(y;VYtUp;-8<d*8PWr|iHaqcqPe3w5Rr`4x#OmMKhECf@U^4+W
zJb_47pUibdnj$HIK+Ul4N##ZvXMS|FXbi;u4lOF9wc#mQt6{(eSabiZF@vOGX&{nV
zRi0_&Uy~v=$zGVP73fsl^|%`i%*3D-R_V!slg)m%x)KAGXE~E4fI8iy!8_q9-BPY^
zh;hG_-c?$bm=!K<ljNVmBYG5CWYR+};!uEpmrz6Iu1aCsi$$_T+s*ko7D|t?W<aL^
zuL2^K#g>u*Ohzf-pGk!wvM3J`-h1i3S=NDY#+)H+|CbT4Kt#9M&ikx>q#`%v)pW~B
zPY`1+CM+Ex#9(BpT#2+n6Le2ow}Jub0-MTAo&c%uRUa}Tr(UO5;&*TrOhY|3OBIQt
zuztMw2}M|b<vdVkLCWQ@&NyZX;*$BkH)9~NFitL;fN9KU?%iU4Bm*bJ53RShyZb%O
z6}oXz*|Cs!tT_3PqzT?4#n{zcx8;Ks%<9T+(YCl**XM+QR~OLbtvH{thKCM(MAE8f
z`NS^4XkRATXTY>s^@TqsltuE9!d`GC%X$vi!Mhla7b;b8F>sRp1nTnBV}3uKb}1Wm
z%5sXdoXV2WbIzU#?ghf|+75gXsbVO2DSI&M&y}E^PJ_L=sz?CPW1+jttUtPDI$`!v
zkDc=fctH7#1=7Bnw-<DgO<nJefC>dEnZb~BFteloQQ`Ddj~$HoUqGnTix%_MAOO|~
z=D8GcMDt35ngXi(&MlCe&HVrg+h4uNiOsq9GxaUpBC>RXhAkRxT|NrA*fCv$0~)P#
z6*MNgctADtr`bR{h*0Iv#gi<8DjGa%Zg)Z-PctCpZ5P++?PH-UGCf5-tu}Y@O}+ZG
zy(RQ?Q6D9MyDmirtDHKxhz=rJL>x;E3O(f$ZGwn+AB2doxD(yT9DQ|7_e0Ms$==Ds
z5+5a|gRmq@6E48(HkONGx-NW+WSVCpof$PJ!Nq{5XeaZGD?ty~Ixzf~<bw3`rox1<
z-U}%SJ_w5TWBl@BNw02Ok<Uz4%~ObJk6Xwa96TD?bKeLcD_Gz~ZIyC)L#MGwHB_yZ
z`V&MV7lTGLT*61dut8e8vsnKuX51nuPBH1VD#r#LH#U?1(!MR+#gL|5wBoD(hL@EJ
z(DcC7+{SQNX@D-q%xALE$ZL_Y)&(YlcNsM!kS7_$^tZ&zM$JGCya+=FzK5*q3Mf1J
ztql@ly5HIM*h576opuZ}zBPM2$9*@<V3xW48~rFWNW`Pz{XpM#$`%o~U><N6ghl?p
zt6LOvxWU=QE#^NRQQQDj)jQFJQ<vGcB$s}W<WF8l8Gbx3RffxF^kX1;rOJ4}UXRSy
z+x)4^OghNb8w7V7v{}~s73*-MBY}=h0IP~KC;8aqmtYHg2PJS;jK$w0b1Fo#t<YE@
z+~>}=5rm<E5T@gRi0fn=<1gL^W&UjM>mtQB^lGgO6aj&lM^Mx;Xg_w}@FIk9dj@|C
z6Lcq_4m%A35#_vk*Q3A&9O2s0*dv@yKO0(=NVw61+TWzzX!J%3l{0dCoGni<_jFp%
z({OJ=(kw`mGz<1f+#XKdVn_INi3HF=5drML_i!`?s*z7|453X{YWaWAEZJR0#UP=e
z%&}adQoQyM$c~z@{oqu<FgsnS1f`ENASVFNdq|HRJ(VKiN|8eGCi@w5wM2`N=Ai?~
zQQBZ5`b)6j$spo>-hM&OM^2-~G>lbn%Sv+IgGgxrVWDN7cNt&`k#(sKu-Oi$U4_LY
zTQ?hRwXpqED+{k0qYu-JoVKsThZmZ!Brzi;<hzlgGDQ67VHE~w9<WRS4)Q>%?B++A
z^*=2Vx-bR&o)LJ+fo<}+i|4SMCPI}aCbg;uc{Csn<p(la8ae6dmbpEEamSbvluu^R
zI(nBNuLvXr<yo?3?qOFh+pRV4KJ<JD;H<}f+46g_|KrOI_1q}otjOM`5_al6rTp5*
zS^LW}==2s4*IejD`s+)M;5VHbVX=O4O!aWiSuzu-(~_0lC{Vs<>phdp_W&|R0s+9`
zPLo}4Y!WZ$dI=qy2-xX-p_vXv1ph;VUCPc0h3m-MKi;+-^nJlf&$*%meq5wWc{gcB
z1Kg4E&dHkZ`&AG|A+Uj@zEr-uN^qJBDo=iavAGB@&{1$z3l^szAkxwe3J1c7lN`eY
zZs^La9TFKsZLUY47<JnY#or21&|te%lT52bPjJr#X)=-A6ltxDWZNm>yyt!4|F{z_
z`E3KJ``t2Iv6X2YLG=fx=_nlGtJ{?+zB=29pQypLxk<c9>N*b&-&}Q>Vm2qTVt_G6
z1S>GkTX*pDB~3&+-xlW|(Mgm#SiRXlZ-7B;^e8YGSlV8`>4E|^FH$)4Hnbl6-?wWv
z9&FmvgLFis9iO&nw03H#-tmt(jL2vP9Fvm)qm_ZU;at};J)DBmxYe=Dc55JO?h57V
zLIl@HGt^U2?8;yX+W0Xi2p|k`MWtUQsF<JyY{;VTEFl?18XmpBzrV>%!&N-=3cct_
z#ny%~8HI3baXXm<p@a$BuHyIQrcc*S?iQ?=Dzoife&YF>Wl6}sk~EQsKOC<4+A6WE
zdK#sCQ6Ui#pf$C+;2q^h3luma@B(?QIbFxy*vsR1Sb8hlfD|g=uHQ<@kp<LdgKl?k
z(Pmx(kiax%doZo>@FEp4G4^o}qQq(U0fcA?rsB{DMpw9Rsxo)w_St<nJ>wP=Le^r!
ziti~MOk9KC%vS8Zl@~}newqv+)Ipt&VnP180=cz+uy^C|XQpLxJwTuX%BF9xb_Sjq
zz@__m;xgKY$dZUX(Xa%{CE@>2jxw}DOzzE^c3bqF4AyYEXDdVlET*!CfW+KRVES1=
zZBU7m6j@<xbp9@fI_6A1zb{D72N72NOFg|{Wwttz#vFS%mxRh3G6HQ8mmmv8WfmA3
z7(H-4_pWXTuP|F8Doj25<f61ts4R<oXZ|MV{PYatAi_Z3K-f4Q$UHoWy6{(gqNIcf
z(}Rp<yvA^TBK6DK<+JSsC{~QM1sl3m4=QJ*wHzy+ncy`6SWH;_XwDW1NygzFEV&=p
z$q?(Y+*PQMVdve}iM)I^b>i>DzMC68{z3#}99tzr*mU>+&Sa=DURAT(SseR~_RkR1
zGZpm*;Ogz$2uDkZPa++?usfug<3dl;86&jCUv@$3?~?e6>6oQd7;@SD;-F<RuE5nt
zg2`5giA*6`pqRy2Biy|%sOd8ZfSg_rgvIj+#-3*OclpqZ&hb1N>V<ZUM9v{&Bvu{P
z<-bhsKHz!;%fG3D0)uxRWr4u%8Ekna(H4c7NcJti##|X5UVBIIdHn%1QQMGf(;uaK
z)>Oyo>2bN)<#DdFln<k_K2O0^7vtFyAyjMI6xzC*|M8UXTnPgMgGB);)yxm3OGrPb
zu@bd)rXrsgNGv$2VD>9zDy2{=L_Tb>%;D#g9ERCA*6{6Lad1lHdz=_jY_QQb#k`s&
z{nudh00H?RxB8|-ksDW$p3TVQQc=WC8F~5OY{`DdjEp4%pX%S&2+q))3&YDXvaB`+
zw!4^4ia#!IX~>T|5G)eliR;V#>ii;q9LM0LNcS>E=&w(_RYV(^l1^wE%d_vX1<O*l
zDr&^TemBhb>@v+RY}x!eVH$_aZ14k4Dr&>X<_u1+-f>H?w}gzAShL~}!Rn)|!`S0O
zc&uhYv|9zOJqgrre$c4^e^S|91js{>VeEaB>$z*no2r<$j=gwpWrdg&q2wW$WhjR}
zQ3QV*{2l9kA?k$TC1zOKV3(EOp^9rHkX5oI5(b@8nRW_C(})yb-M%X<CK}}VqrH7n
z8`U+i1?IBRX7O=5uOra|2jv3k;AQa!fvqnAPq;NR&C)PG!CkTp^JwQuVryfLIyy_$
z#&c*qgLpAQ;ESIDvqmBWJ4`-m!7PrQ*OEn*6bRc;wY`yigu7YwT{X%9yn!cPFXt^F
zdV<YeqFk}4E{>kb8JlHbJDSvcdU@$dJu$_#l|v<MK<jadn@ra8H0227N5o+ezAj?K
zJVQt>Va}BG{@m7Pg`sb1fqDK7B-$Fe;_60&ir37lt=<F9sZOXC(@E=_W@80CZuVuA
zNjYnxW6!M5Ti|N~R6Y-W-UrCh-kbXfI@&we(#e2hp!kRm!bM{wT4HGa$Q%!VeVcOZ
zexebX9<0Fho6K0I*R3em)=hm>pMpoYN~&ox24D2kFr!|3G&3~J=kpV~8Ko>^zO+FP
z;xDuG>f3yIxU`(ZWNQefC&eEFt8E{>Mx87;xFOl7w~e?*WbSkVz59dwFE40bv~L+Y
zQ_YC4xl*Lx+@`WV&zeexrP7QHf?s!*AAbZqO(?(^nq_AM+wkKk%#%S@h`qAE>*S~k
z^)Eq8%<i<TyC8;P4C8$i{)^lE6*$54-LhOqMqx>uoS*Nkt9yi}D-$_(yT9g#Lz8E|
z@sFibbrvj)a@L=8j??M|SjMo!YA)l|%uD;z?ZCx4W{nI4g_9wevy<LU*hiM=-J-i&
zJpWE#Q#0o$cD5fKPX)045{BbQss$1wlPfGWJ;b#JDG>{N#p2>5&pno3!_1)>u8X(v
z6WrCZ-hPFF#lg-(?o#kyup1R`<Eaptfdbd``i0kBQsZEu40XUDE<uHU$N^n29DDH2
z$9Q@%&52ZSybu}DfZ*tZK4?3zFPu3gBSWye;kiYOs24al9J|rxS`L{MlZW14aB$V;
zMaj<`Os!af9j#>!l@x+t1nk()94wkrIL;esatnG@)59yDfuR!7ej}I?hgeN?h>b?2
zvcc7wHg%Eyll16P0F6@VLS7?$$3m*lU+2YLZP-Ji7w9%IhFw?M7kQx}G|II67{Z2U
z?*xr0km)Qz&-qb|miGLY!8Dv$1hdggLj6(S=+cVaR-)bTc6?DyOT+KXM2}95G{mv4
zHpCFTLz&)qd)QLiQ%ME!K*Enw*MHD5_JQ{ss1dv=1j^(Y>Br*;J7ZK5Qlo2-FNQrC
zVFZ+yx(eR!t1_eBnePHO8gDQM5t@Eke1hA=J%hAwkznv^X@;7PuIR{ysh!{F(jI>Y
za;-W@^<JuYs_Usy^7s)d{K+W>IfXms#nBfwbgd9!ZbHi_ZPI&jiNtt#(rXmj;HHWq
zycLgBfvJAx<G$&?m<&1}LFx2F*d|0wq`=zUUqG$?QGkqy%cR$6HT!beqhvdPtyqP5
zO6)C0ttw)Nr@lC-cB9UHwh=0yk;ludjt)<5chvT)Fvo?G3mGux6&Nb${nz2n=Gx=)
ztWOlER;D@(yI5K_n$!R*KbLW<ptu4<Rnc1?o|H%srjU4g4`J;h6;I?z(id`&9sI^M
zDiooTv^aHq((AVn!e#1>iThoo@a~{^_$`vun8OHU9ylz-KPh`Dn8e)x^KF5vO}0<7
zpaWS-8=u#+ac;S9PL&)^n|S*1abSVZ2zT-`C6mDct_?=>4N+=#pkrKr{<47xC}2|&
z@h_KQ_Uvo$z1}d?cv7Kh+qHVx*GkJBQ;|Q571l`{9`D}m608QV2sZ4C*?Y=<^OFB8
z;*=Y^hLX^m+Yd%Kg}sX_wmJ&%#U{#2yZ8D+RGt0XY3UyZCS?8C21-qIx1&v5!Ah?u
z%`?wTTL~{au(j&jsbY`Q{3l#cMayTe8qkd=WM7#{8*Ll3(NNY=<^@6AA1@TdJx>pf
z+$@@p?{TIwSc8|QmDG+{aVtRCVAX7FGrj%KV0R`Asz%&t(ZLZ*<ulM(wP71(?FOjm
zJ=uf>dy{!udTfZir*lXDXrG89(OWzv{dj_f@xe-)xu*E6Cb^q(rBkWfs8fry4u{%I
z6UKt-?}2R263d_H`bmaPhk_oF|C$*mrRnXPig%oLZ6JpTW`uRtNWyfjbGwC%g3+Bo
zTR`d~#xTK>f;e$^`MEWR6@NFAEb~?&43PDz2hUE^j~PFAuV;mEjBPq`$}2_6iM0e4
zbpzkN=jnOAdSD#HT_W%B8pO)$O~h5w)AO-EmW<NjYw!(9LhBp$K9M_tM!a`*s|m(1
zK$)Sjnh9*oB3tk80S!>BV)=4;SGn~)p6p>9(wRJXxwNmZ59Fpb+Q+~oJ*1qvQpbI3
zjtmc10_B#0*HJ3K9BZgI>+YvKp9|;9DIV9unA_ujNN95_L^)qXkmfLE?qtA7fh(qn
zQLlazE?6&sbO&YTR#*aM91+)dymm_0PuH$g38v<;WPJPtg>THqChRzzY&k=Pkin&(
z&sqtu;l{EX*y4pvdF^|Zs_^|(PGg?{yWah`1|H$85tRt~E&|%n9ZuVj-Vt=pZd5qQ
zS2!v(E%TTEL)2S^MZvXgpma&Y(A_EBNJ%PPLpMmLG)Q-+bayvMcPJnT2!b>s-5~8=
z?*IMvKJbLg11@Hsx@)D?@8!5D$uhq-9s2gnM1y=Yo<#dq^b*}oX{9MZ#$&7~46i5&
zT|4mq#m#pI`Y^q!oq3g|4VK-MDA==p2rblZ!(pMwjovyFqIRW3MJ6XSD(h6*ivJ!*
zHlxkqFsy2fgcfv;K&&9!tuo*7o$Kuc)#fNewILUG48;DW_BiI1uhWZnX<`JMe)p$Y
z)!Mz;Klp<T-D#gJ7u;XNT3BNKEM03!*d0H=gcI>9p^_%~^4eak0P)04ny5g8Kz}xv
z_5S{z=rLntyz)3fWSc6-Zm@43s+r^Clsv}jXs4D;MPXt)%iwS$FK9q<pX`lJpe390
zW^AC?TXUKPVNKZQis}1b(12d^*LrMc=ldKmr}E6e`7>=TFrB@VHOkh)pu8Nso*<B!
zqRDm+V=Pa=S?(tJ@6+>emYH;%3HJLU$TQe$TVVca>mr1ecb!ph=Z_#?kz_va%i4x9
z^)aK0^~Yr|CY-+{S@LI+AGW<;X|yWA#P+e~FPRw0$fbRR%S52Q(Ufd^LaSG~f7!F4
zwYD1qSgsahEYUNVP83Xh<xs~@zX%e&BQ8$NQF4X(orPIuqbgp%s}{3nawBw|{FG2A
zS<7zF!P&9p+4o>*M!4O#oH`B1B5H@8KO3xd95dx1+x>k<=u09SAqQVwMOi2@EHqHP
z(~(3~SMB-P8cvSe`>cVAEV(O~*Fr{%o?Hk>G2U|YTn*!?yl>B~H~~0cHy|`06K|ke
zY)*n^gI*+f+0|r~p_X|lxvQ|$kG}v6yAL?CX8@~^+#m8WW1S6920WgB4KqkONS>H?
zZ$b67;DpzK6<7Iu!xG1%6s*N{J|W0_w|gKW$TuFQ_G0d%qwWTE;c98C-6AGB`V!2s
zp8MPm6XeCIEGhC^^Z-w=gpXh6danK8xpNMKWJ}^xpHAkB=flb!sBO5cYxYg6F)TkH
z^nd;;isz3R(G4zV2k|(TUDI%qyEiOxzhA{J6}q8s+iRC=(SK#lzu39T)_?zJ)idEY
zjPn0ogdWa_v=eNcyR$-*gq~{-IDc}LO10QF$3^zvjGYr`QLc}x3sU0|nnv-`vyd7;
zypOu`P12MJHVMKm&(;jP7xmlo|Dp0&Ty{Y`;YkkrFw*s&PImJ>-pfldi;p8MXd*93
z9V1P_i$ab)*V>If5n2QaVMjlj$7CXl7&vf~8p<&rCc?=MsDwl0#p*A1L<GR9ZM#sF
ztrwNh#xw4CG}AJh$f_7{nY|9vqsme7Gg=B>wKdT6ZP#|j{M~ggt=rKO*YlANmxYQQ
z<*D=%90fjtWQ{E6XX7^1r48j>nRKL&W`uhm7Qd3iLjga|$F4?3!@*T^ABYNvd^gOD
z{h<JP%@$|r6m$U4dv^gj+g<D$iB+`uf)x#O;p;p7{Sl5VjEVt>M10@hr&BPe|Dqn8
zNn^Elat9UVEFTSH9nQyu;fg9E=s$}uSU|<?n~M0F%8yk$`gsfrkTS!NDg9>TX~R+P
zj(uQ%-(MeQx@42+dZd!IR}{=C>B(^=SiSwJ!!Z0Kzoo+rU{E?18Wh(xTp1~ih?=5T
zGp_?}e^2X%RFdH><X%>PPs`POKivdB0?+q)b7I_@{|simpc;3ih&oasdLptc&3%ZJ
zB?a*XLC2q6z_*Mw<2w{d4x`K~G&hD2^#aC*Cs{FPkf}e>S1W|8$q2zoLb>{KT0bNt
zgaYOsfM3+*Odiq;rCSDU#=SX<K-+ZJ2|x!%{m|x{+wBBjO1&nF2>_50a2QSc=WPZ<
z9re1Wl=2LKRtonXfWTn?DDLZ{d_sCbEJc{wyI3@Ca*r!RD2Q*&hJ&7;1pk!xKL6!q
zc^|Ig7l96`{5EPaN&JkrFVf4DGlL`Dtp$f6SE(F3+2lI<8Fm<T;>R`2fo<AcF1Y^R
zrYQglfSiu{*>)})EpGp!6KB7@@5v#V%K3$?sy%kOqFdsvPG`MxqIs#`=OB`pG%8%5
zZ?XFQRkm-Kogatfkqm#OlW@7I+Y7y1NN3mY%tIbnltqezR@7O>TJPSXoQExRZsu1-
zv>H#U-54L(=yJXEYL!Py9oKv=OAK%oU-)!JghJ39oNo1PpKs&c!_6`8Zu3_$c)dU_
z7}7k20~&n3zU_32xT0MAy9p_qZmFce62f<HMmoCbYPLQ&IdP!bjzmL%cv{xg$zhhs
zlbz`0#o_nbp^&;P#w>obJb9;3!xJ-H%eD@zpJTcb7(U@67S;78>8~K<wR<woBd`Aa
z42gc-UfeUHEZktb+o7g)7RPy8UN#16v87Id^ku?akj+mh1U*^=boQ^Ls4jb3JooyU
zh+6&_vkycs6Be=~|9WXV{a5n*KO+&itOp=PD2&qzu{OJy;~4Jj@R6(?DdOI^Ns`VI
zh)ftQ!p3=%%akN&<(46-l^6q9wSUVreSd#OB$VkC{x+6j*^BTaA58V0KWh);v<Wr3
z%~k*(h0)|IJpLG_&P8*8a=-9Vv4JMBLyW=B(xPQiZLxDS|HJ)0Q0_-;mVF6E6R3rh
z#;^*bqgZS!y;#=bz^N$6C5psvU&_!C*ffTL4F5a^W&ptHfmObkOWWSc8|C$@yy^HA
z`%Z7f0-S=#a8#7o?g++W8<{}K<{LHIIz-R9b-&B0#_^+{z%;OXxUE#Zc4&Z5$uL9W
zs3^v|oNTn+<nEagmsjS9SD_u`0yoW<mTt1RpWHj|oPFxnpTuV3ws@#TS3?cw3IwWs
zpqVP}0l@s(E#|}RCh`nl@o|5iZSn@_g*s0uB5?a9ALiksR+z5&Vr?jm1D@RH39a7&
zeW)<vjI|U2?G_roX3@Ry3)AJD>5fV>HNGgODoK3D^An((8IdN<&(}Oh+gT17Jy=_f
z0u-eS*6fm&u@DtW>YhIGXSIv3fflb&H03_HyutGyQ8WqkS{z6XAd~eL@fkw)3+GBG
zp)>nx?(gppL*0x0lKktzR8$x?tvcfrzk|i&k46Y10;hbu^NHY*;*TU+IbMr9lsB$`
z4TAv)xzJ-4F*2z|msM>Pp^HPw!TwHsU1EKo0}kaPN$|@JbswPMM2A7TXf+vtd&Hcl
zVvqH1dNPHY1`zQrkBZ}cjFd}Jly(M3Dxt7${>{v5ENVfPQVHgc*;@(56x?4808McY
z1E=^<qi$l9{NEZp(*$%4WV8$20ufsWpsz&#@I8bM!ktIzl!ag_l_{1Zonz<Tg-$T0
z%eVC&;iyzZSyvQu3VHSS*E%^EI<HB;oIza64AsCu4a8qHLL!axjM-?!x-Zx|0rdag
z-g5;N&vB{26p+wajD_)q{H(cVeP)AOs7NM^D5LKhKLOhXN&X`@+rZUk3HW*l1U#&)
ze*mP$KayuK?8O3_wRJFSYLZUQxUZ_U6fqx#{#^ueB0lHZ<yY~){qR^sJ-@F(_|Ac;
z0**vL&(sTfvI!#zpS{oZKV6F^oIYE<(_?(WIlC*#pw%sf#p>(%dr!R%hem)tr1A*g
zXCg|~SV&UMnizZSLIL><C{%U)?6lPwI-K0=#Wl&2-G6;f8$R618>XB{sN&Zm4<e36
z60Z`wLxd`324k%lrgtFy54t5%e1b1V!{wDVAQHLI!wHOUkr(^JJ|^DW_wFl2!Y`8F
zG!h|=io%oV*<9DRVrR#!_1#i(nqp%lXhaQPo|#P&;Y)3&_;ebV<0V>m4FEOCxDLt$
zDBS{uVIgl)7)TvY8)9c>eGe+jZ>Klhjz5}HAXE&ZPkI>P)-?3R1`<}LOA^kG=ZK_#
zn>sge`0Pi0i;kigIpA}>0L5d#RYri8^mz=spbWq1n8b1&Fh?IG^8Q{S9rH@DmCQ+t
z@T?27D_n&*3R{R7cE@%8K`GhO+4(Gt&<LnkY&=(NRv8|RKS2#}9!Pr(VR_<I;=iKA
zV)gT63pn)x1hjKy+72%T#oUDC`BMDvWd!91m`?ruB&#tTP7)gq+r>~kS@SJ6Y3w3w
z+*T9eK!OgvCF!5A?M??~*Y)n%d`4>UZ}>i0H4m-H>0f=QRu6;LWinGpYz9s+>iZ*-
zOnyc?iuq&$4fg7B-W&uR4wBOrfU0kjdY7K|mi}aM)0H#VN1ah=co~hyzhrr%D5v#J
zJXbtG%vlqI*gg{`*Mt2eDw5uLFnxye<Wg5fxg9g$XO#dWiFB+)F0b#+(T_Sg^F(+e
z%vO0p5bb%N0_&Mr{gr}#{~CxK1|TLEQOoZt%jpfyi0&!N%_oxS1IhGczG$6R`FxW9
zfzMc>r;<*hOzB%*sAG%#**T7uc1<kcxtmlq#CAr8CYoV@hu$R{vukFK#pZiT6MYi%
z+o&9pa^^MNR^w&x1~bn)j+}MSpl691rKJeA+s?~Y?1dR7XFJ^wB}!}x<0rc4R|#%?
zx<U9pONf*CVdgoPR2vgei(`K1kSUxYLztyUxAUaoIAEnE5;Q>B0J58|6=g3hH~6}S
zR~Oz$RpInQ{Y7)Ows>9J5W7ec;}&Z*&y^ph#(})X{?`kjitP1De6mQk(DLlgL~r!e
zT-D*GSC_uSC>PZO%o6Ft%VqdRt<Wx=Z|HRr_qg6K>~EBRl9A#?1jh`qM}Mrf{&H}*
zSf6iys7TEFXDQZ~zM|pr2<+WRnt|&U%J-%5O>$~qkmzqya5RGCgd$-8^Zr6w(#~|m
zM^A4A=k_<j)BR$fZ27sa0Fr0)!iOfMZq5i^%qBvI6P_tAz@r&D3wxgYY+Old{U#j}
ziBpkc^)*{S#bAKy%joDt=H7U&faUFuSc@H8w~mexjsh=?-&!FoxdvRT86ri%qe}sz
zHL_Uj&O!6c2OpN^k!amX2B$gZHQb<zBrl_x(xZpE#SC8}qIxuc%!b*ypc>KvzoBSy
zB!t*^G*q$gR@khC9Xwz>CM9FDwi3q+F_f>O_D8dL!~`&2h1>rGA&l2`2&T>%<f4b*
zJX)@=m?Oy-H9`xwV;c3wzhBnvGiB2bmS;M%5Z1gfiugDvf6DjclBmlB>)jm1_07$e
zn>#tQ->ZNxl&j(!TSjkow?p<^8_RAlL}7D5^2CQ+{x>i1G=NFlRZFw?YM_(zHC)sw
zAL`Yuq?uE#EQX2elaWRb_APLL!M-L~lDrI2ZNGTIg#5G~x}8JV(<U(&SxboK)u53v
zwX{ta3pEKaG|s1s)bbb?ktLosXthmy$dt1{Q1)QIB$ADTC+bleGxj~^^Ss-(ix^Ao
zZuYyo0O;>75Pi<JR8AtYJSTorW8P0FF|?pYr+?ZabkVCn3=AhN`wu?1imp91`x%Od
z*>V3#`F&zY{aV8BXOEcMlusW(7vjQOte_9XXv#i}ObxL)U|=EHTPLhq$nz_wC&NC{
zOoMR>vcY-v9<kT7dzmE<7K>$*Q%Jhc7HL34%xSD=H&}cC0%%fphHv3o29lT9-imkb
zrBVhz9W>zg??yJzL~z-Xgm7^zvo0F=7_ljIzfq=*B4fif4ns0*RGD@;sA;paU{y-!
zOPH^$x=Hz9XcN>5wo#smS|97WPFz<lc>~Oh2Ow>8vZGV6Ptk7dI?L@&louCE<_YfY
zxdRY>=0K%-43DWZ*)HJ=e!*oiNf>H@JS)!?Z^KXn`2K%lzf<6ey!iEHE1Kyq%=D6-
zZ<d5K1HEL1;FoDVvfscESunQyH9tWt^II^%>fp*`D|beEsP`5XrPG_jdG_hBg#DA!
zO3^mJpH2|ek5go;ZB)HKEts1bCCaV%8T&evzHEKbOV;Hu@x47p2DO$Sv{|rUEx~5!
zG-j03mU?nrCRXZEZY*E&`|Qc-X&*rU%9XOiombtyzS`zY{tu-ybV1~SWYdqTvV1xn
zcPk`zFS?9<;obcK5P-muc>|Qa#_-U7J;U|d@%w1b3`Ef^SIWSzrn^8q4emn5^tZh9
zb4XI5#d}ay=~luC4l;Y3uU-SWV0ZRu!8`i%mPap==4N@uAfh!16KAT<XLKDh!W@E3
zS{1CyLp7Eat5DE8YH4D!(YE5){0LrJ3+4Y_YU~$)<^z;FlDmkj*2t{U;|5D!zMI{2
zd6f$&S;?qeXy%0OpB_%S3@r|v=m~EeH5S!^)*H*{n3vheex+QI)W_lM`Fwz7#)Dc1
z!g2ejEsPKa%}8}|st=2!B3|(r`GL;}KD4xeOCp99TKA7b-zEGsG8XG;f=tUdtH-UA
z92KuPnBce|{|?8LZZPYT)cU|#4Gv0V6Gfn|$@g*dQd1Q{d1c(BFqC!EV|ibAP9d1}
zANUdLlrwxAh0YL2nXn5c<r0A7dlNLaHx6?v(P#t{(JKQ<mk{E3BvFdv>3VvX8LSi~
zot)|=c(<7AZeG+fqmkY|kx1v@=f!%y9)ghp(uMxs$t=F=OT$#B42J(3PNW8=6rnDp
zWMr}7vzji*hucd&$Nrg{64dX|;GmqVew%zZVH7V6xN>e$-_ldpqQ^$Sps{b=RPFd<
zXx5>;S+J#4nxrS$7_Vp{Cl<r}^REnn08Kuf`dxUipMk*-g@<My7=D2={!w0W2a&rJ
z)NkXq)2W2jmVVr86%dl~ad<3Im}!MeKbe^L>!S<=u7{|xAg$8#HYL)+5@Zf~!P9OF
zS-3!d)(wxNWU5!S_h@dd&yF;P5a@6;Gh38>$*-uf3;M`OqRnVNyYB`4+bEF^Yc{TA
z4zqdYN@+G0LawHs|M2JI_Vr*butkv4cDx4z0{Cr*J{o_Biu+D6BFyxKOKV>lE>>*+
zXjrD!hy{zvv%cqs<VFu#s$bpUzGdx3C+zC*#la%g`7Al`%sRzKxo!DAdZKw6e_wgT
zD)?(1Cn8kzX31PI52)Xpb{Qx#iB#wbg3vx%Mds*=!DVr;=ESu&UPG(By{=~ER-G^!
zG5Rq_RrO^Z7-WZKQmfwNrT=q_U~H^0Y^(MN{U^NGKr18tRm`OoN9o|uURSAZIQ9zP
zo-TMZh+{g*bItEk$?6eE({r2+aNsm8<`^@a7pk;)u`DTMOGP9Y?r~>t%E*YisIn)_
z^^o(q;#kiFm#fx><IJ#|plzee4Sm<qxxCqoVXwhgw&l%?ZbgA1{HEea7*6O?9?5%k
zlU!ry+WAzFQ4qnlb6cf5!_^5WDfs=(KDx&us>4F-00-~bj>R=kGB3771tNPzuUM4Y
zt*j~9sl1f*!R6$vJx|+Mbm@eVIu{M**A}Bij(GSO)iJC&S9E;#Az7lZbzTmrRm1xD
zW8k)m5cKD5?K<u@4G!RZ5`VhF<6L8j+4x4XogDB!X6vS`88rqGK{(BiRQZI|sT)?d
zwOi<9f+>pFWxrZE=*U#$S2`7q<)(AWbu(?$P(}TkgM&8KQnu(h+R?*gCJ$>JifIha
z4Y2-g`C3(Mr)vjN$57Y?k7CM~RMyv@rU8vV_!X3bZ@XURP&O)57|)YeEd7GQGOBHN
zPF{FB%lI91e6xK9@Uiu1EU~szd}~$CfBL4o%ir0^NfUShGt<K5QHR2WLH8eqe?-N0
z%yCSHa2jDi-+QiVM}#UnH^M&_P)79O*;%S=UszZ2V6G{?`;_>rsH|$Cf6woJznoJ%
zaEd+$N$q;ZSMQKjq=sHQ0dSOG_TGP{OGV7aSEs-@k<m-hPq1n0`yNicN>jH<>J)Fo
zBJI#G$fnZ(lNOm5Rr19>2zw21=ktuOeR#68lYW~D^OX%^);Vum-qFp@4-ibejptWP
zcGjj+O=A}6diOOCK%5)uVEPpN0q78IR2$>V*BjQdg43>5lEb1|>=bRefGB@lS$_^s
zSz7go58t3!zFF*hhR``>lV6qyV%SdnZNx!c9X71$PR$X^U;gCAc=G}ybM9PreHUEL
zYclm(EOW^gmA0|GM0~q^vS;$uniS4r-UqA=pB&XU-z26^C;?*HZ731Qt1u?h6FcyY
zuaC>-sqvt`?B9KkTNh_Y{k*S@R`rf;Ykh!*dei83*!$1Q{lh~DD{f8#$8Ogqwy`&%
zO=&`2Hvf0u|3MspV)%szRr7GqNoy6{U7KW!X@oyWMNFl;xd$aPFF<)NHzs7HhAJj4
z6j-G838f>PiW73+q~^EDnVpj_=!YI!occSVMcdSO?H3qJt9`5`J#OXo%6f-l6FPTK
z4}Tb=>jn#x;MrZlYf)*#I`7tBsj~<<aQa*ieUHjVi4^Q}NT_MdrV{>@&UbY<!I=L(
z%;vTn4mIKxj7nkr>w6CcL*kx4LBGCyOi=qmznHo8jIbeeIvwLV|28u>Fq%X=dA&oz
z=zG2K`gNyLi9I+HM}y6p$!M&^J9(Kp!&SFPKX2Zg18Ypc--q=G$}`?Zg!*r}l%SNr
zCKa{K%=^uc?q%W9XeyoP$}ZoS?Q37X_u$&g{B-!a&ZUC<k8v$MC31GR(UMr)`x6$p
zD?{D*gg{mp-xNBmU<3We%&cfOB(A`47GH2Lryc4Ld$WBAm2%Ld+sB>4TRlBIT<P|{
z)KGb4S=0J_uLNEH;RM7z>j8hC1lIk`E#LO<3=~#s8K)Wi)r=V(mE<)6;w_+-F1Iu9
z`Lp}qiXFr1yf*YLiF-<8ydzP4zd_{sr)dt}*wPA3?->c#5b7}GRjr;S+XFzB0ttXZ
zx6-J@2Q^xRIL)_07Y29bcgpgg4y;iORT3uCScVW2Bx$L=P_$f*2v4F}8HOa}@Z>(D
zDQ$!s30Cnm-k`dQ{BN|*Pa9y?Bx=gHRdw00X;5E{Gxx7be4S|>cU4V6+cBx!QApU5
z%Lt7Nd41{}?DZw^4A`Rw4^jgUh$>0!h34^lbcB;pleOY`hr4w=1qja3!l4G6SUsyX
zhHon9Zdk29Asr6xtPMMduwrMPw7Fe{Qa@aL;Q)MqT=7qu_F=<qOp7vGE!==;i53@O
zlE&Mg(%FSfHK=mxj{UanpP-}yj#rT>5?Kh34i-7&E~`OhB#d7fg$~W@`<{g<TE5^h
zkU@U}0E6gfTeK21coG<yfU~#2x<D^G=74HEWm*pdM+AlC<u(r!MmPV0{F8gxzU@MG
z1vvu=!zaJHruFTw6Vwq|_P0T0wyf8on?)vAtQ~s{eKI_wS30HtE!cSiP82-x7nO6%
zyJ=(ZzYB&_1Z_+aLxtCT4%rtqjNye8+3NOeiU<Hx?RWFzotxNpp?X~ztL-8tKdc2U
z|3X=HWVf?(th-4Qhd~ESg-7+lkq$-Aybx<NYhb_zT9D)ifyiZ{iw_uu(ykb1EQHeq
zjb=V^)4cvUp^*{cv8$um=)ofp>p?)L_gs8t^+DMGc%(_Fy=0QdMVg1nP*Zq{RJQ~U
zSDpONXpa9_#RusL3YxDWwd`RI-QQWRDfF0rF;R(f!Cr1Bh+fEhuI!IeQTfU7ZITP|
zlc@(8T$P8nN-?b6U(KluK)|qe1&1mGZU_jC1A1M5MUVGc?Htz|D#M7{r_1~57chvn
z0W^yN<ptbW=c^;8Y_uU?*=B>J250+BiRrTC?h<>yUDfJ9&IRs`Zwl(|6Dsf&qR*A#
zY#%C@a=0zew?;U{1&<|Cd{7pnde$AID{)1tboUXy83X$O(CMFrX@qNOz--=rs*Z!{
zJOQA_?QXV{K?(M5xmJ_hLIoOINqf-_LkU*;B}y!Csm4{(^8B|OK%f=yxhEZ?a6%E9
z+VvDZ?kl-3HkfkY8T!IuxUcbISWUzgNu&Rqk5S6e;hkdq8PyfhNzXc977^<`%wK4}
z#2k!297as<%=@tAlbA<PchV3za2wt=TBtzww**}}<l^!9>0vvp)n;5?Nt!{}1Ax1Z
zY#J)wJkDGMXrFcBu<d4xWYC`hdSuZi&4_!4>KE;1*b`1t5ws`fndiNmS=at4PL;M?
zB|qL4?He!v!jZ4&1d$+vzg3F$hwj4;I1Q9K30(5(P>%<_(6$zO)aNgcZJY`Srw=&J
zBLPo~0ZMJ6@+ec63s7U?riu_UCwb;b6sUz(P-u-#ZC)3_RSS29fNJLthJC7@7($M`
zSHApI)D;Y9pb*bf-plc8D6(PYiF#w(_xRd>x1^c~DX_H`btSn=<2^*(BDb||#;X*Z
zp~DXICgr!6(D_+q?L}I*iMQ&p;$ZA|KJsThAONs22W;iA=i13$$*=Lx&ce}e01*zy
zaw}xNx0KoZzl&5c!xMX>(5iOKq>?GIx*9f((l)jzI>b2@8W;^HSacma#y|kQ;(g%W
z<mS+CLm%Kh`?junO^aKKUQl}{NQ|5JN8<yT_aCNrfx_FWD)DXGi(2rz@>{z(qTWq<
zL6PN^OpV4Rd=<soW)*tK*^f1&IIlCK|8ype=-9(1LCPwqYAEh!U==6jR4yg(eC?|b
zqTJ(=uxEtfx_{M$n7={)Sjv1JjFo!7)}FnU{!`PGf{or*`NxXV>gxZCJ()Lhq@PDi
zyt$+HQy;>Y#NVwi7B9Z>?s>nD+W{wb<S5c516uc(P8WDE9y15U^M~9kkn84VsAW82
zC^%lxL^=d<2-SVuNl`H=yrs2KL}+IJrrxvbg<;wT4$`yS6j<nF2G@4FzT?DA_+Pgy
zw`#MwlcgkhC5)<qI@?vI6+s`qhGzc<kI=ABz0109CviA;ZP^jhA3=pe>kKA#+AM`x
z^2yllPC8I=jH(41^E`jLjMcWU3Cq3~{;wELVi4=b*{WZ2&mw0R>GG*x#j0a_E{V4~
ziiT*=`X)rOIs%BnMJ&x;+V%JnI734h*;b@G&AafLB46um52=j=uT{|I{Xwv`PxMtK
zYARU7L|OCsO}mi-y4?HvYm3)KxYdsD(W-vL1;xZsFjZpL5rVvpT7Gq7E=zm<H48Gu
zU>Fz>GlZPKMD#;8H#0Tmvs(dMPbC#U(@UeTf^?ETSzcjXuaKprktyu?YZ{O`!ehf#
z(re&q44bW{fNkgJs)t_tKiBKKn-m0MA`-XeUu!C(eQ{%6d`6Alm%Arz%`u@Ppow#@
zS%-Iq8*M)`IxQj5anqXe$TRqXlgm^OE05@xI&;Gnu&<gF1~Gg{D-_fG9x|`k0*C8y
zF>!=+c7Ir}5)Nc=C64-PsEok`SwG0EwMo7whxf0VY*=sbR}PpP_WFGiKCor~B%9|C
zde@1!YmNJr$NMiEGyT39)Xj;44OQVUsDNFzIfwwpYjTe$?%=;^PFgPkCA0pF8jOMT
zc1prsA6*b$Wc${Oyc_ni`|;w-Vm~B>+GutTAKQ!}{iR_i@DvO7nKr;HHBpg4u$V9n
zxnB_H2WijZ5N$l(T_UwB1)sT{y!fr+X+*TI!)0wn3jc`7&uYZ?Ztc`zHpo=Qvyr?L
zy=~5c2K!F0J(DG-uAYC2KRXu53SY1tM6U!kw!h7Fp8qmnb*+1B)nH&&A}nd%Nv@3|
zz2k`L^btaN{t}D#aGr%q#gEDlf<4Xm%m4%P6D+tzhH)qhS1#f0{FS3y>W(;lVunLs
zkf0kOKo4M8!d&~laD`7~{<G8)1GP3H^>mXkJ3oC}eV;DLDE!_;UiwbFI+KJC*qDd+
zBQa4wyf{L|j!sr<fiJ9%1uwROO~!`-ANtQnm%;Cl6%j*RBfrn!WezC*2?cVtx131e
zX1dl2c_O;WfQTJ_t^}bg8_RZXbwR>jFIpeB6U2exvJR<rD|KN{`>}qYkn3eDM!@r*
zwQP;@_|=L1{{Wa*z$suwN#tCRR){GosH6R4@o3loV=-d`?NkNWKDwdzqT<!Za*W-*
zGzbCT{D~Hv8-J>kZ$2^`UkgO>lMCCOrQXXU6L!a}_4k3y;lGfk?Yh>Z?p%d13s~iB
zX@rYkACBaUB8^Z)aX)a0`vP2t8-GZkY0pt7%Baf$aeZ>!<l^6Pig9kjT=xPGlh^x9
z$F!?*cfz2;*_m?m_nBF0$vc6?1}(pQx^bjzy1^g@7XlHZ9?cW@x_$_j*sY1@3UeK&
z5stRd68?!*%R&mgQdW&wp&k*IT@)+!F{p*EVR<ud(a(kLg&?;w9&a>C`RyMbGqF=7
z<~pXUf=NtLo}wFbS)vI58ZpRz)X~O|3C^*JE{kK^F?1Xh$LpmCbp#u!hTx{c-rp32
zOm0gs%TD0)m1OSUCf!I(z-nEw)<xnCZ}j_8F{LiF#tG_u*;bOH>)iobk9**dEJ+~9
zAXmj{_i2bKM)G=a4t;7}G-~#_1P3xHFth!KtmqpA4WP+uPaw4X5#UulV0C2-$$uac
z>;81S(he{%#bhrT71rcHdf>)?InF~o`CeCfyZ2<$gt;Wah=feLpUTt+lu8Sj`+3zH
z(T94u7F?s|39oi-BYA83LX(#hJ#vdf2|l%PM4?vy!~IUfaj*NYn4!k#ABKt@WS&4s
z*en)UDr;PG;}P^U=SzHqX4nL46<Cd6Ar&#_LR=VETZQHhE-bShZ{JjV2+!De;b2zA
z9|UQC_5w%()~hR3&y~A}^}ingcdgTyp%&0nPfhxDMoZox&6XP_zM;bmaM-I3?>tfU
zZ#?W^!^{r5>D)60zV3eDV^j|j3Q?l-YtR~rt`Cjgv+-D@RC;0h@NZHJxiN?{c9XH;
zj0o$l;bdtyBt_1FQFNyabi!!R0<K|*!;Yl+65$_qCk-W>eBlij&20pkFPl&7#=Qo|
z?~iZJilK9cU_$@>_Yaf>33qe^#Ji@Gse-|&RVzdkKs$kGS^w^xxRL+AEPQY58-4-u
zzvy*URi$imEk4VoQU1;~5WBwezvq3~03tB+^{1AunLA)zp~oO+O%y1NZ>OU~mvXH)
zfa8XnL6TfePO_nKcUkP&@3iNS*wfV<7;zaXrG3tZIl0p+s7c9aLaMGwLy|H?y?W8Z
zK`Uz{)<s;3G{SSQv2CSF4oRJ!cLn+y8+L+_Df)-tj-fe;KkYuhU@dZ9V%-s((M%X`
zta@^xI%NIXC1PF&cVuU4&oW=L84N%4d1C|uVrhtJ4H`c@-J?O^GVnA{IW{@qb))`L
z+H0@;SPqEvLX`e!hoNpT{alE{DUz}AC^6wb?0Lh`0Y{gK*jAj1;)fy2Ekgy18d91_
zr8d)`JyNs)9}Gfxh<--JK^3$4Yr~nF+`?Lsg>YMxXfaZWl7bC_<YfBZ`vDR@(4u$B
z5Uy^OLZy)WoL%h2o5w@rzn|IAQ@aBmQ$uARvJrIqRY*?d6lwI$T!276eq=5CzlMbI
z+45!pVw=V^!326kz;-ZV_kzO2kmC+Y^;jS#magLMGbC+8q604Csq~{!QMN1<pH?O5
zkM*J~Ea9b^o>!`GREy%hUVQIy{e?zY2aBUAeL$Reh=%B;jgpUeS3c}mfRI`hUxiJ>
zqs4WzF=P8WvfdKg_071BeK&LJg+=1OPy@(jo3GYyWX+N%g%dLScso?&GC9XgZm}_f
zKP}FPDKS;(v5FfsaLL&NYsgt)jeHfqhGE5^^+vA<K=S#!yn%7;6#RaE(NR7!4@}Id
zCZ&sODr!G^Pu|*KYy{r|=Eiu}Y6iB#+aTNzJJk}&lf}FCsU2|AQ}RW0580xc#?8}Q
zII%(MEeuOBld|WSyp6v=(HC_o&MBhQHJDvuVIXP-@|G#*b~>&K|0!>6o>*WA-;JHW
zRo9tD?uJ=}?E|4me}B;J?vYd`0+DJkE1<4fHPL)}F}(utaK51+on8xID(B*N27W=E
z|8)Ib|4xXgK6_}n=)WaZ*<Z%$Q9=XdV}%U9TKM~d%1x-r!`mhp1D~5C-77!zJ!b=#
zFYN9A*OKsIn!@OvPt0a*D;4ffaF?GMDA~8eAR(-Nhd_u1i&e}T`}R@eH8EP~c_)6V
zumji>7L@9CTl>ym!^c^Cs7L-%cSLjiJnAVpBYbZQ(hMD{mAbOgTueDG<E<nXHd?iW
zl$sbcX4dgn$*paB;7X;n<3)23p(aP8j<ogsQei&bUd~qNs+`|U3ZI(@TKj57_MB{G
z0DFK`x98&@_F(3%ZEv`)rdF{b1k>tJ7`j<=_9*_Q8?Lw2vAlj>K$~`95dorQ#&A9q
z6y=VP?)DqFVnIkvsJq;{DE2kLTx#nhuUjmbCi9m@B$`dA@jM&sf9#}epq1FbxgZX0
zm3?<WjvEO2S)LS#Ce2_)W9?B;;+ylrJ@|vcMja)B2%st^Rc#q-2Yq|=6p3)2!Da=F
zXUJt*^eOw8CUZG5m%~&CuFImts2n!SEjA}TKdv>8{#%rI@SWj0;YPK4$tEN98>DM&
zRV@ceAWr?_k?1dV4p^(W(j+`n(4Z#C8!hy2(>vaM8TdXO7otSpAbN^2|E#TxqL0Zd
zBzZIqfX4)K5i3Du@A{be+gVT!w`UIRs|*o~&ci0nR8lS|IeQ#9tAZl4<_iUvJH-iN
zdIDD`_oLZ)e4|taFz19OLR~Yvgb3yI+dMNRSoc}zh6|l}ay*zTreP=Dm&%9y+dB+K
zTuZ4Za?BX%wk>;KJ4(4p3#{1=_-7A*W!AXMqjsA(k)TB*>0JQc;zc7#YK-uc+yFpr
zH04d)N(2|-m0&GMgUQMCx(UAqKM)lph}~DPb`|$Oetc;t?6!+8&R$1q-}YvYlH`Vr
zjqfsqK0@nDPlwlboB+Sm+L8Jg&f$;I)Wp3Nr@mEA;5phQa0$Bc0<w*-EhyqKR@q8*
zd2owSn$i{K>+s<t%CUd@+NR@=N=%t@?CdRIwXZrlby`gFygo}3F8qkiin~y`-i;;Z
zA&Nf1IOgE}?`{C1?}U!QJNLDRH<~P|w^}o<R0iF<1KNhL1})$s=?l0RWA)J^)rApM
zJL;$QHyxw?g$%L8K%WvDE`$Dw5Kp4T#}SKvSoo_!9dKn_f4O9-LGAUV-|je7Z?S4{
z@vtyeSr{8>yO62eB1Te0gp#BwZwTS`!5Z&Qc<^E~?8JvO0xoXADya!0emUwTxpndj
zt>Oc=D*@JEH9@~L8N2P*o~!O3BjPPvR+3fuJoL0IO9Po+f=Xxu8cDDo7IYnlp63B6
z2cSL#-`^vKy!L#kJW`VrTl^&74adF=AX`MBkex}L8z{^sCuh_D_$O_~PRh@r8IM@V
zWosB1JDp78!}ag}S=xL3?!e0MMBkDJHxgorT*&f?Uyy(^Wqc&tsW*zl3H!t2He@gQ
zs4?@JstzFten7NBQuRlF19*2^##XJI*0ySt2UZzyKN+rbf4j_hELe7Ii_hmZRGt8~
z@~=j4c1R+p^*-?{%U^2-L|q&^jrRyhUKDhl#Q*)TI6_!AU`5LgL>aI(=U`_q`OrS9
zVDM&gtE@(Aq*TZ}%_=l;Xrs)bz6F4{36T3Ft*=Qv6OR?jo-H30urbyN0u~>*JLKm4
zh7J|$2%%Rk*j_4!OrZl!D#`&-G}`_d(ppq<xUE`t`<3VS;5S<LIjoh4$qxTE&#WP9
z{QF3VIS*~eLkHa^r%4Z%Mn|cE_vh03JW`1W!O)C-uY+R3vrTc=X|KKkmnt_RD%`yM
zwMivKeY#zN!p9knJlN0#wQjgy`|)M|rK&u2K3C;_$sMZr_V`_tExl&Ac_REdWh(hE
z5o%SdFfQmlKAI}5vwpuIF@UY<3~E?%HW-M7QJX=3Qo?25YYAs&xjD4^HuYplnat}1
z_^O5(fVlcFz(Ie0rwNj7tGz8nGds{Mz>J4DmbJdbiH5gi_a@)zEwu5}8UR>`Gg+bw
z!mv4xuoJ06N0!xXd%#0G$Y=U{HiQLGf32R&*Qit1AH%5A1pMrbW2!cNfrPnsZFs-G
z)7{28pzy!3!Ea>hFLRW%+%(F{y?PO#B#tV+)#|P4wek#cU~q5RMDx;O)&Y%xEp<(6
zGRF`Fu6x^Z?_y_j;5(OaUOHyqbu2F?=i@bI@YiA<^YJR7cu{Sk+C7>)sjx7<8@Q%7
zEEaD<SUa1}cl#c{^y#z+fel9~n?K4N`O7T&LjBhY*}v^~^ZrUVuqqBfy0+bhD=p=2
zg8#Grs}E$rVg+T4?~9B+uNY4U01Myc`?noFn8Biiu(F7wr=}{6Ogg+Re~2-*kwUP$
z1r{QI?$a0u9K{gPi7l=pB^!O#z7twTirpbcMANl^Wqt?hKjAh=V61DWA95K1LfsKa
z($s(ztb9P_q=H%J)Wvty3-5bDwGOx`8?=5=c^U|IRmf&1kP888?@mia*>a3^Ey?G|
zi5m@om4(Ee`^?BJru{1PKC$Ab8KC$lwE~l8CDkIC@5z!U#cRez=(3ySA2Qz3aL8D$
z@_%aVwsSO-{*9SsCu&{Nw}1GqA>dM0YGTglt4EzNRTpqtV}su-Z%@-v<TnUffbZRk
zcxl|*T|YmBm5QPhP-#)oG$Ufa7!$PHu<FL{+J}!bVtoNP(*bGqTYQgCa3MiW8v<D@
zdh+zT+g_096{`gjD|rLz9F#cM*2?m3uJIN>a0zWh3#@q+vn!>{))6sVDStMyK&9yc
z1?;zQYaaor>KHuNB(qiQs-t)V*W>Z7z<ypx`=4|f#FCf+abE~Mv-t~ifnrAF&*{3%
z<5A5F9GS>>5s^>{a4g_KEn4Q1NE#LP)dbHZnr+;E@t$mWu1l;(ybD^a(S?^DxFcap
zV@J+v#nlR32`yqN3Ton^j_2<%dw#rowfM<laSyds7dYpc&Am?AS3O9N946cPqF!rz
zC!oby5?ePF^^`UQ9TFOOZ35&|K-{;7y?fM1LH;M;B`$w`G-fD|qAJgoOv}W{8dhap
z4yUxc`Fx-hiW#^#a<>0p6GDcfr<(1fXyO`i)%z=XRn;FI6i71-I!ePZYGU=Uzu@$~
zsZSJbF$0SYFoWWdlx9`*1;`)WOEi<!(;PGXW}#&&0<#XK@l7q1w6}9V+@qNn(q#Xm
z34SWi-6e&#L4igSQHwm(diF|+*c(t<QzmQkIhil}Gq^i}TNZBjnFtJpU(k&lqM8A#
z-)jS9Z+L?C&=SeMS^LU7fI}0$^k-ljF$Q1<Uuf-*mM^&3r{ww=l5a-K=OUIk0jkKb
zzFuNvfDz~(t5kpFPs?kEQMT1P>Urfo+~)lgKc10wtxR(j0h!xqx3_fD;HRLbJk}=A
zVWXXf5`TJw(*~w-ksbx-28}%<3Ea>Z4tziG*|U(a_}}%1Rb8snj=skW>;XB}dFOFZ
zokp9evQJo&h@op<AZS84UkrojU#M-kkBN0}<@bD2F9l3q+GapiOt;q(Df=DR9;yfY
z>01An6b;m2kh$45&Nu#fs(vT(B)zt<SS`vnk_$X2|FjCJu|DtrX8(6hi(Etem11e&
zwB)!c8ZRjh9MY-ha|F%0T((EEkZttMgnl@O{nqXfN#A3VuN-Z!{z#~$YN};|gn)#k
znIj&s=KtXPSyd2I0K0zAMmu}WWsJNs<CvY4?D`K@6cf_jaBJnwOG(CsGSZ_0re*Ey
zXjWObJVG6mCD|``t`dkQROxmN_)vttRzrFC(xwp+r=IKYw~PSTyOgy3ELb0u3lX=-
zdLQ}_;g~ACRJB4@e2<2N-0oi>{qQ=?m-Xuve=93;*0w8B_OHis<=nwO{k{+Wo-0DK
z2+DKzBSna!J60tkt5_o)a`9`xUkt*y451$ahM6c+TtSv%uhJLDVoiV!LBEVXPReo{
z3EpdLlfv^cNCnD!t7&#6{$Vdfr9q>vCuohEmTvdST91gM)F8h9>uNSI2rzrk%1DI+
z;mN$>76xwnfKd5*j52^suIc;lYHEj!!q^O%-!Y%&WRfc>eD(@g9J{6xW!kMw|8ox5
zbr;p6UURNWPM`m<GpY>O8%&H=*uiVbT+io}0cT^|HPtJ2`hN~-fIQNa%(B2w70s?C
z|B7v_{vaJrqfTj{R(#buyfx}PQm+@m_nK%gu)i(Q#yBOna<PZrm`5jl42jP>@jKX1
zZA}W(9gU#GH)lxjEd4Afg09FF;~qMElP~))(!)Mzl`gI!Mx1Hw0X0?U;V6m6(2lSM
z*7o#<+}}TZa--;}X@OCb9iH!dCRls=KT*VZjR1x+&ArTlRneUHQagZISMkWKpt5;u
z3uM*-qa{%Qm8UsE-uh}0KZ0d|Z#D+&pb2tBZjjbydM4ZZ?dz9a6nV&|FmAH40oy3=
zmT0qGj_m?VX^P%QYxkUwlK!IzzTR%3+3x``I_tP087=6X=n?#M{nrw+%Mq)VDJ&Kr
z%A9e|i~Jo8kmEu2MuFVb{J6vc>K0@D8<684etm{`iNrTM7n#Mfz5Y_f5{76#upz?H
zf$lYzm*cpw#T0%MVEsP>hfifaXF~|x==b6JO4!cM*u`1QqV4BA0uWHXd|F?b$oXgy
z12!JqFlV@o0ANtK5omL2(1nLoukOZ;;xjPJtfMXa0rAP+W*dECF<@7fSayJh@`U4I
z@(QDLGUh9tp}JxC@JIU_5q2rwrsbAV*0P^_wi@@=xCn!%fpf7a*L;$*OFx1Ny)&88
zV{I`o`_1dSFFx;1W!JaqpDy9ZBXLaLM{nYbMNQOo>Caas2bHlv3>rZo#IY2if<X{n
zXR%4`+auN$M|57q7D>qvrC%O0(;vuq&i~JEWiAbPhDGwaX7hlRH&e*j?qxleh5lrv
z15HdYb#6bre)Ec248Ux?w^$rlOCBR*v!kzSH}luTmeCS4m{V%#?0En4rrtSWs<UAp
z9Yq_GgfLa~)DID&<m@PF*A#8r|0*m8KQ&;)gi(eY_kQTfRqhwgx|GQIYjDemd0$wh
z`gNO6RJ6`Wefw65p!PiLGo3AfRWlO!-tO1K|JKtQQO2J734#Ur)Mm<-w!S0Et-u$@
zJIG_inCl>+q)My$@i~Cx%>|N#XVYeMrA8SQ<_4OElw%O2c4hQY!4Z?6FQuo{{##>H
z@7A1(xWkIE@HdyCjzM`gWBqpj7#X+V8jd&HzHf6C1MvJ0><C6y=4jdBf{JNm4IF&T
zNuBh%1`pZWe>MSQ4$!jPU>cq*uh_e>gU=-j{x#vzpR_<utZp!<B~s6Yh<f6P?sA67
zb7qXW8z9}+AFIMee?Wst4f<Wp3F~#5t(1&~JgC_#?I1%3m|Y^`p<GB=4*fW2MlKZp
zh6BwK5eJ1K{@pR_L;KR9ULCP=wX$@8E?U)B_nvB$2>l^&IaJf%zio0gu|BCeR=$y}
zwfW(v{bav-+A+e~Kq3Tr<?ES^FwpRA1H4iI)3+kLAo8B{w@%8W6#LO8#IMPEwrF<v
zt*@R&;KirqE|3%2G1hw3j@D4@aG&KMzJmMHb~W-74PHA*l-ubP_~Uw5o=*LbqUN(p
z{~dD0ml@Au9P|zapFmE9XOn6jt%WlpcyPVZd<-~qvH?DWHNKZ=@!;^rYi@57oXgt{
z?Ue;jmK<Ty?!0?Z)Q1QYhP^SaKu0awQRFapD~L~YNV-Bes71}m9-anUf5u>1%3q=3
zrsJ=qQ(r$J!ZhAdK_Mszz;)Tzf=NpwsoM0vulW}SA<*ETz|-PIS#i&Fyk^xrHlWU@
zwq2Bon34^zlne9cj-^xF@m;W{t8oqZZvx(-OcQ%K{P^Hts!4XnAom8+pD`MvM*AP!
z-~~|8mN++2%dSKUp=F`c>b|rw;Jfx+{5K|W!xdBw2IT!qeR#sVq+%Kjw1?+^d$yod
z&w7)}#!|59Hic@#dJV3f&zOI?j|h)pRX=t>vjYcJCzvHsZ^w|KGnD|-B&s~?Xe2X1
zTMR+~QB*K>oKT|g-wrj?S9sM0dGH1{c%(NRSo!6=v-<gNuFB5ypfQX@RHn4#D+r;;
zS#Z-{>l4zyX~$h}*4{@1sr^qaU7R`Kn*PmF6P~@>V<?fc+c!-xmO1j+?hWh!go*O1
zWPLpyIq5f}sXt;H77{$Xm-3th>Zel<x#fjO>44^2n%IwT#s|I=N1`l(Z&e8E@`0iw
z5p+q<2vp{Yv@~t$4DY<SdUT;I|NR^8kNlJ%|3H@j`e^t1FL_gj@U;&#tV2$C9SOUr
z6)fI7yyQyUI?8uP9NFk40|WN{Ae<nA%Ne)`)&P?JZ({4IlI7lkxKJp=zQY@w`v^5Y
zO61RVcKfHmF98R$*V!{_^TvNfLIXNyY|FlkB#QCY-?esZ19s;gC@`J-_9j&NO-v*V
z0;6BLn(j;eoq1hmHU;09W6=3k(ePAuYN&7o$Z||gt}Fo5)`!aeo!8Qf`A2Aw)bio^
zFa!m>8uX5kO@-S%K`HzRc=Q0}Z`wq0uG6gC>|`AkDdE__cD(aXqXZJ>8ud+Mn+B@>
zRQJR%2zg)Z03VMTteQrYq2`(DssrWseayOz;3!UuAV$8=R(~Fcw$M`P9veV+cuuZu
z9v*D03OPDENPc)%WkGJV4FRykNaXEPABpU%6mBEfEX293=sMkI21Lk{WxbcL@DdxO
z(zHjDd&j3BO<OSF`4MFDveZ?Ca9ZMb&{Seq>lPvTeu-Yp`WD?JtctlBSr#4e1niPz
zAhz^Ls8shIOT`%+@>yr}rbD^@PLRS3E>liW(<`-w9on+ALmA@<wjuM4XjFyZtCj<P
z6%c#-czb@Ek!HHAD8aV}Py37D6Y5VN;7I|+0NZWc?r0b&S!01X;a<VREGg}+KGX>o
zy+*+n7d8});LFH?V|Im0=>yDE!<TdGZIY3(A|tM=*DtBb;#n#DuV%q_p85sxS_}0{
zMg2RuENHQ*L&fQ41my`ahe42e<UV>`#Q<6=F8@8)I)q)eq)!_bf)!Q)y0)X-T7ral
zV%Xta`1#$H1E7tw>vsuYVI(BI(EMxfCCGoLW;65`@m*=f9i*Ih<)S2ZmpAB|bAGn^
z?|}0-;KvJ&sr~{(lO}N}!ObOGMBEKwKz)?BJ97Zo$ZdJy@669<gHZ~RtR{v#;7whS
zUoAM^_^C%}MC!`fIE6TtYIt8Y6})G21umEnR<;dd%sN@1D8fD@U<)~79cg)*LK^uI
zR#u;LXSASp{pASLLCoWbi1O2RyodoreH*gqi$uKoXc%M7eg=`bA0>4{M~1-vn)%%c
z(dYAaNSL(~9gE_2J~2K&={iMfAZL2O^=)+8)81K-pzFoa$HJ5|>NEztcJ#j%iwN1R
zX_gW~R}DGf%c1#;#j78{v%5E0lbyG71w?@ao(dycE;0c>>|Xuh;n0e<OU4Wi8W_!p
zJ+vKl2G2~>CS+hw)<f-$Gg(%wr8`rw6*V-<H-&$>ED^q_wX9hGj8+IjJ_Z_ZHQr6<
z3^XRk@OH(U@^L+Uv5krJxEP;Y1(oz}GQ(vK<M@&%r|el>LcsMW{Q7U8<y9Up>Z>fM
zmLiwNNuau4FK8qR$)<o>T<`9=&;K{Bi|I{J8MsV3`YKbss%7G}3``ge@nH|-QO4DN
zsif|J?6_DCV!_So5r|N#+dnV^6BZUK`f$`d$`q`}s&mY~GEmxGl6RGLOT^~WD08s6
z*<qIY+cD!M!nc?!TW{~|zIFXK^_MyUQ3IH~rR5>D$75KOV%-)K$@blu^whi=0l84i
zIgwsizrhha715xMPkZ(4sgz*bTC+;~Y|@;}dLtlWc23_B2hxxS7uvdr?XrOS>V#-b
zscmB%rff<f<(fbHcvvL870krV+Ipfcx3SyZwcQ55@N6<4PPrOpntE+SdeAKTt=w`P
z^>76T*_;6;P0cLGxz&e`NBt?7)3g9eqZ|mE5Y$m;g+2!Pm*apk<^C>>dl#a{h(UfW
zq8e?A`*u^yfD7{+?c>fn;>ZWH0sG3OZUAh6kYieu&V2t;3ho~WwThy}Oj<7`8vfz9
zUC$n+KdcMw=6}{1_vP{H#~yDWPe*x}A+O-l4_(qKj)5JeQ|tc|G7C}CDLWcB$H<I8
z9IP}$2_CJG=sMt1)m_4zr3|RQswf-4u6eLJx!a#5*YlNYs~z_47Bupc1)u%}%1Jt`
zZ|(*`%R9cR7pTMZOgNE5izW@s0vHHYY9B+(y<T}7WmGFQuUi@72EW<&+rnmwVZEj3
zor#|6V2=v^9zAd%HL4N$<rLA8wgXOLL1=LQB{jE~1vqloHX2;#)|y(aWS3%e&Z32p
z^uDZd={T?I)F5*i&FbUA@)67<ahNaK9=*z!Vw%CNhSopJML|2pURd)-N&SH+M7?dL
z%FKPTbk}z(4ASmI<Mkc7hL}Q~5etID!zgXXY09dWe@u=%muZ)H?hT?n`|TA*_>2N)
zU%prmg<h5>$~`QdGaz78|A2H&jI%0Hyg0?9@x!I0Xn|Y&kdT0O;J<8{VPfTHot>|)
z{ONnz^U-R~YxMipH?J9Al4!_A*1HzZ(Mt_GQ{#p}po&2j7ig9#wz>T8`ya!qIuC-5
zUk0P4P$d?k%5fJAy2NYlMk1ur6-P_GsFN?D*@K(TvG0H@Jd4EEGtyGReb<N?ZjJj;
zg(%9G^^Rf(EUDK-SwN39Us*f=LEmuta7jA(N<w+kDWwIUzXr|T5Qoe?)wQ^n0SeNu
zlZxdMI`c3Km0duv!SYY)$Fc;!=m;Cexi}iWLNaT$V<#Bd><0o$#$KL)Z|eZ)Q!=@x
z(!qov)Kw@uW}oV^&V2h=Q1*<QIPi^{+q`j__jkz{vdRwKUQtn`q7ov+J@~BYt}OuH
zAjwN6lt!e~BA%N(+L_ACSm6m-FOU^P^3o?f?B^^?$f#8JO1bO(V2Em_dR%Kt4Cp9n
z@t*tXy^|#8Gb)Cq&dTrPINqtG$;2K1ZAjQosS2$s4fRP$zI&|_69*5uuK!oxzAzR^
z7ypww9l!fQq|*R96`JS(9-}f*%#3b4<#E0T9Ys5#-ssa*dNS_T(ONc0R9Ls}<ou6T
zutwE^lbPD%l7^9i)gh<Z)U{=o#+N0e4w4Hb`&_;iZJd@y#VM*iYWRzhv99BCTExct
zR`liTH%C6%B!T^>7S(?QSS5!kn7E{mKm=42^!D`tq~ht2J;a`t@I#$mD@&_v6qO7I
zqRbc}5!2mMuhsv<(_64*)wNyQbV<WWN_TgIbax}tozgAc4T^vu-E|Vu4bq5o2#PdF
zqjbKL@4N2j56C90HP<o6F~&Y--$&3HL)@=V%_sTE+G7WUrQ_9>hm3yDEk9((50eL|
z{89F9a$!7Txqx=jO?UPPt-sBGJ&qN;!Sm|r{vR2?B`XSJ5NK(b^eIno?{SJCf;aXn
z-G~cqn6o?lPF4jT>X0~Q<Y;GXV{Mpv>+j1|AUX?h0S`rBWd=`+UG^y9q2?CMG<eA2
zm}Jory@^I)nFVcm`%hmwS?;f{Q9(6Edf?$#+$PH6mN_bP-V0P_Vp-`wa%NyE4Wa&N
z`Gp#dw`^DP8HN8m5rLe}f<4mHAqxvVE==u5)VuMa?<m*cM1i`E-6Z13?UIZ~fQ|Is
z58J$gMtkYcdk)J+<LL|ZCIyI|)Qy><;Xl{a3%0-uZZfnRwIcf8ALaa3{Bcvf7eemQ
z^F>w)W!S;=OR#J|VXV#dTPT^8<9<4aDS0SK5=+X&bnCvQq@l`Z95>kpQN@QtN6f6z
zI$HXC1iFpkrq&IReq4*2b8hbX>jAFO2F~4RZUh*mKVru(Fy8bO$<SJFc9;b8@qo<g
zF?g+?cgXLgT~HMNAmD8*5`EpW05EWF^~6ZM1oICLxK_S4+Jkps74aN4f9=dm^$h38
z6ZVRu+9x%1Tl|f$qhl)AVYCqT6er!9JQBh(wD%6X(b}b|+allVv_$*m(2}WM=K`l@
zBFW&)YctN9#qj&e*TWbslqB<H$7Jn3fr+uQCL4n1>C5EDAzG)IZ(;Ns`JDdDlmxt?
zJ5#boi*`ujTQ7Pn2q0sy-#Di$4dsCGKOx=}MY$a_lWqQSpV!q<rt-QcNKB5{$PK*X
z&DD}7MYb<Z=2Mdl){wO?XOua90pItNzcg~9akkz5{N=eE^!YynytTN~-o&Zhm)%+x
z8G=zrT-y1s6I{NNeJh{O1~9d8yUW%8QWQ@AD6c~j-mlEs7hikm$2X!le@ad9aTucY
z%C1=Yri5+pKEzV3%xgjw5ToX}S4to99t#aWIpLb2bps3tYjMCJcY!_;&UjsvtWW8w
zr_a5{K3{8R8~pkUfnDlI?jEC1^=d;iA{k<%*}i=Nsf!wM9E-4G<j*<73Wu7seX-QM
z>T1PIUbnTZpqecH%>;{KTTcasI3VzPfYVvO<cQ-SYJa~Cp*HGdFSFH$9Hd$7dQ@SE
zmb(|wb;Rr0-r=(l6yvazR{R1L8{sY{E;CwT@a25Uk#|{AIcP=!<Ln6YJ|nWdat#qN
zL@1|7`}_e>JCcCnjjD`79df5E8QD9j5f#kL0o21s>}y-c)Yn&%WV61ABr`{K4RyQ$
zPJmN-1a|L2U@8ajI$A<q-PdF{fna15&EK!)B7yGmq0U^e=chpl#3Wwli2D5n<n;rv
zZYVm{hNtYEq8!pIjgrA@>(O;6$Jn+2`C=fo2teGwRtEhiFBx0LllG5rQeqMg)S+-9
zn7yajIb`Tgor{Hs?zmK~RO=Faz|%KK^BpGhSyQELhiEhIqVQW4ph&4!%^TwLegz&2
zG-&xpm>%Zc;skP_Lwysd_3hyH)3HuOJ#?uogZuD~HT0}Y)%;8FbI-wm+8ylaSGP!b
zuOmIK@#By_Rt|$Y%J5Iu=G+{2W4S!K>j;{(My1;DK0sHr=XD#L#=}E{j<i_@mY|fi
zux3{(MieW!chy#$wpdsJchaxPa1fU#g1%`{)8?D1=2XQku6?b9O-i!Jy;)lfK7^PO
z@zBk@x0=Qw3$x6aiz#%&=4D!6u@A{!mw$>}ZD^M_(G^PydO{N=4CWmYs2^BbXtXtb
z?VKTgC2&VNY^u;{ap;QJ)vL4-XiKcn{8fs|O#0d14uvs}*$#WTQ977!$FU*U7%H5$
z>oF-7-Qn3K-|4mV0(*QOjhx?U=@g&@z*}+!$^&$(UeG$Vk(iw37tEpAQA0lXZchy*
zl46{g=>bH}0;%Kaf1mH{2UvYUJxs#dest4=$jkA#7m|orA_?8`JHdbu_8u9vTmfUZ
z)-a$~tywf?2e;%5AX*rZb!dG1&>K<;I!Rz(RDWz*4Z1r5&6BW!VDg%$7ptkUmQQBE
z7c)}WErf0;-WRj4PRq6YIMXowa)8(hH!7unf9%tPr!&V_)_A}CQ6Xr|nID*NnfBu7
zugb{Oy_Ai@1Fd6KC1lf>F*m^g{f#hb5*0<CMsB5jVlDc?T6<$X$@PJUM=RiVjHNaN
zefaGY8tESmTkDirGVP9@Ci1%UR{i9eZ{2vj_HME@=)3A^ekulqCU;{t@&Q?@;Rhro
zhOR`{>ydBgypA@1@!;$G_7&5{K@i`2#q(2UmDN^%UwOlCr)04_8cCYEkXt_hX+<>{
zMPtUT?UgO0D;L=+Y-tLWPTbqa(P7}74iUuRqx@F)3^3bE;llOE3gjD*Lhb<)Sr1@0
zfjh@E$<P<Qt`(-55G-Huhlb>3jXiK|!~ZVibP*i*pSu`rKtP0Qw=f}gMSDwl8ofvY
zmg;?8q{-XVv$$NnZgsuIVv<s`+xAxfau(ha$hv?@YNHybE+VuK3oRhB;R04?7;Gmm
z!JQtEn||lny}_D+7{Q84!*E?K(U;~o_w^dPYIY)Rw~*k}=Ddx3@Qu$L&X%L*9c?O`
zq($i}N(Na(!}H=E^0HUo7jtch1Hzc+Q_sv_DFgtcgy{ONHYGR6fk=NCHk-He*0Hwe
z=_-MF^<xX2kHQZ)gJG2|(~w^Siu!74duf!$WjYTr&)g`z$Qt*zN1HMk@{p<;tj|ux
z{*o_QH#WY9A-*6oiRfoqnoT<&=19V~3e(~zmM9M<k&=U6-5;!<p>b}le~soT{(;E2
z9xuoj>a8doz?0wqVu!2M;&7j(7dLan5c>LR>A4Z=*)7?JOhMc8rM9WVH_i52bis+i
z*7Y4k@2u%p%~Ewlk4IA?YbI0ab5u;u<>W2DU0mW95fcRZZMF`@9t$)-U+`|1N)Z*3
z#y9-Ou4z7tdnW4l`E{jy-IhS)_r)ns_kri}^#Oi>rfxW`nJNJ;)PIzH5K!Ezbi(}T
z^p$8;hnjiZezpz9EBx6vRTT$39btL*CwqM#$A#K_cRtwyLxoK?e8IN&VCQOVRwW{j
zq|6i$TSWC8!8br?Weyh~d7lK?V@h%>MtxeO*xp5ZDqHLGmMI+DzE;uRd{@cXAY<c-
zd18>`Pt6%{PRE)85bEf@EgeCl?cQ=DezC4{eeG+w+EE^qS&-+Ne7;}kr-KdPs>8?W
z%XDj1SOq=32zA`lO?pEgV5b6}N__>oe+L8=Z=L}Ii8_Vm5FG}_)JC(MvEDV336Gyp
zA1W;`I$EcR=_2`?=D9k=C3)JFEE3eptvAQvp^{}iVwME8W(t~!^pdo588Gk@A#eOa
zjUCWgucr#6ZIFvI*NFC73pEQI#zU&W&Vqt?k>!s+hZN1*>%*5oT*fpy+ZBJh0gIB%
zFAl$E+;_u7xYFF91;Dx*a82*yO8i_p`Nq)Ga{hlVKQW(UBUePV#9jY2<G*7~l#&UW
zTtq|TcS%-*kX1tc*6+L(*yDU%oLJoUZio)rm*wkOo}4KiY-0ElxjHEQm?6meYXTSe
z8aUB#sfS8aL%8uE-6O~pkkzmyqls%Dd%yF`%n5e%jVc>P%*OTEro@ZS+8;=qpP->#
zeyfNU=K!2<O;oh@Ql8a}K19B&=F4X*ZQVMfUf<&@K_h2xx5xm7h#<j$%j&bZErct+
zY~&%LlH{hh10wbK)Qoq0z~=|HAtqh^7u^jF9A7#+UKjV&R^TWZQ5*20vWf?QN}e>f
z-j0r=L$n8fMk))>cXdKhe4ie~RA)NnkZ^g+iNBtU{k*<haiN)84A7I^=l@#rjc?&Y
z^O1erI*ZQIY~`CO`&;J0uLY4aw?K(XVuJP-faR9+ijQT{H00S61qh|R(ucB<#LYtf
z4gOb;qgK<Yz~f`a%FMz%eb`(GTs)R=Dv@BBY2r(%voxKOv+=!|!2aSLOW@V1D&#Nl
z2J?eTS{>@BH3wx)sN{e4OEze4#aZL4(~o;$eQrNnz0tc)a?H?2G=HsPE8*JJzq@h&
zA<~rPmBZ9(p|ZY*p>bLJ3}nfq4b5`ZvFdBZaQ}rQL@ijJ4=^4t2_`DMo8p?v0$TgS
zrLgg$a@sUr*!P9wtvbZHJ7!z<Sq{L%_`aBrR)(H%THF1hk5Fnej7%`cppA(KWKzdm
z2g*ia){C;}MbyRK_?xEn!9-`}o1svf$=ty8e#9YLAMK`(><A?G%?>AFsm#zRhXgX{
z^9y=yV@cmJu64FgINW~p*1NLe+Qa3wTtr4<!=UxvTM>D6PME?7%Iiv*-T-pzZM*1>
z%JEOIiW!!$EBPa<3*<PRCbjn0^BVj1M;}5^k&1PF*JR0_P$GkG-+Ec$3T{_{fVlNb
z`vh0SbgqvOh(6^eqY6G50Fo0k@apj$>D<T!`{VSi`aJvReWkII`Jf@vAfBJ@&oGW=
zM&-H;sH745t1H6CN-1?UDXT34_BW1fmFhbmq2N_I2G4|TH7EOGM}^^}I4d+0Xgs&b
zM(fPX`H|P_9|^WC9OF%#Q>C-OD)8%`60d@hCYybFRu=LnPhhLi849gHzI=fjCKUb>
zj{ne!e7u8-yjS`j4A|fe6ghy6s^vK%fUd24Q!<mu#2ge-tcpOv)l>46ZThrI2eZxh
zYUJ4x<%IUAKniu8{D*^=&x_O)qAtHEku3aoUJ+GI0k<Yf8&@#Vw8CpsF%#`hq|<@j
zuf(kg0Aqkj^%&f2o#AcH*nhMBS(Is;orsfr7XqaUF|K{XX%Y&F?^6m0<GSQi-gR<4
zG_?LmTNa|l_$EXNthW6d#`a7}+~f82yAepO9M1E32-inl&1`sVreQ_hw@};zyC|D6
zbj};8kJix8_p+sDuVSlYgqNukb)kWaSTm}wgG+-fL|Rrq2IQIf>3q>`2=rmr8xh@>
zs&=Z6--W@nmpEwR)0@I|aDUv?n8$*S)Mi%is{6-n7}i@Lwr)Hlf|!0tm0O@<lr*b%
z5SNMYbCGS0f>R~Gm5AMPaZ&dFUJ!#W|0Wukf-XPV#ZS{3c>%u-2C5>7<c44W4ezwr
zjM_xog#7%R&{_zoZ9RZ?fUaFD3AyPQK?G%qOJPd>)I>BrNDH8t4EcAix5A+w>77-!
zT7W<-zX}BZW}azjUO4LqyG*=4Pm*+D#(iw951?dEA-3+7E|i+XLLO09&|Of4`!Luu
z?a)iA(4&SuqM`#GuxZ?;_uicy0Vh&4%jYvwQZPb;l==zqW+rwa;Ol<2v27xBj!|P+
z78${Z69nfMxDPjZIxJ2}Rq)FTZgzgz;{C9p^2Lqe>2F5Q)ZB9*6`|+hgy5l;ppO=K
z!NlKPb52><78pw(^f_Rw=hng=#YBY<y_<dj(u}doO4Oo$2#e@3&oz}>r?9;970rm3
zcc-ENY&-bU9uSing-UuRs~)h(;2ZUt8GHk!eF(DASYdCcJ+O38dQWQx8np-Yzy2!E
z0+xSjBTKUCl!h_^ZA<H<>}xlQVb~08y)v=oCX!kWLUS|^an7$@r5D33jWNShqu`$^
zp3g>KyvR)#{O|G(IIbjL8``KA<Kn1`J1@Y)kH+b{>gFN(uZ{xX2TQOmWQ<^MbDRz&
zGd=%Nf}dC_KlCyUCz9HlfgItaV_n#KU>Ab-^7Aw5U_CAi`42S|#)byRGxV$sgSn7-
z8r6akW!`$KCI&Y})B}M51wM|%b0sc2t6lYJ`f;7)Tgx6{We{j*^wnaVd{;xVLJ{{c
z<EG}x8^@c)Bk?^am^m>Rx45i{gW{_@s3Mg2wXJ|w_%e<43<Vu&@@*K==n)-&$Fa5J
zNC(;nfhg!KO)d1V!?p`#MVbYjf;iRFh3V5Ep?6D85v|UcDu#MHB}pD)&rUejD?!ga
z4OVw-**9umgc1J)H613Aq7cve!PjT4w}!zY==X|0ddj|Vw!n>;<+t|h<-fYRvV_g^
z-H6TQ>V>=`-CtG!qAR_m*)Q>jKk5eSj|*p9S##x*Ld+(aguu@Lp$L4gHPj$9^u~B_
zL3{9~z0Ii7UL`vVXJ!n~^W@Bf%c|T6aS#VGQOob3cn35c*YRO}5?q^sP5#PS9DK8_
zEaKsYRz%_D&Gw<-|1Oh#kR|PblvG%r&bdOuH?#_;ld5cC@z>fR>u=<En$hWw^QV}h
zBNo^$YW;zon*C3YCr@uXsmqxdb(%G;aAA4yXp`L-Q1t51KniGGD4frr;Ju`ROMZf_
zj615FItv81O%19fQ+y9NleI+?ie`glb;+U$Hgd2QuYcY~QEl)|g=K$TaS1{Y3qdHj
z^$!Suzqo0;W{u6$dB77By6<K~{@3#GnX4X}V7?n+)7u}%@?HiiG3N;T#_6>eCmz05
z5w-jp+D&mhEz}qIB7YNQEhlYP`f^DA8Th$|O{Gz20^B1o`uP|DC!+a2#$V}+$sfX5
zPOr+*+tmeg^RxJs4fo6Ccv=s<KByam$xY=J2{b-xS28p8dHw=ivB&hDY<gWGzCa2e
z%3h8&Q!Eq@bm;R}camrgEuW;dAA-S$8a6LM-e>r1k@}_RXY&3JzdD9JGTCb8PK3AL
zA>hcBD_!kAwM1P*g76Q50p$KSury`vfKz)SSBx~<>)CMlo4T_ZxN=@iO@SwAgyo8m
z)u5LLy!v^IQy@Hk&Dswt5<=`mh0!o<Zly(eN>INQDuC{v9zYsO1_uph)MRVdCHszq
zAddP^5t4z<l8;-)h8M~s7GwC!-p2K}|BJwGiCtlPok>Y&li+H)BLDuNAH{e@2F*ab
zDTD8D-&WeG^55%&Ea<DW`wpftEy-MagBdq=p4RiLESm_bN)0NFw8^UZJB<;_QxJ7u
zzP_x@YB;U$1y*tiSkw4xUtulE#@fPs&d$L4A4)P7+;MHfu=B`JiH2jK@eNF1xE6jD
zb1H9!^;;)?2}@51d*Vp;o93sMdMRhC9^75W&9vbKZH1<J&-!0Ms;W4cJWS;<aa03D
z5xNwJMyl;$x5ENXNZ<d*TJS~0vm&RZc^$6vy>+vis*0Aut_SW06x=)oKTbZGO95-d
zG&XuZ#;wcLieXH|4R|}J0IVIW9i>t2RwULvz(JtulOs#-2T(y946XpABgrj(c-Zj1
zKyagxPnyGRB8iVNWj)0DC!=*A^KHn|jGXc}(Y*f8W$H9Y?S+$P!U@paG0Lw2H=u8c
zt9F_>%S_Biq>x7YmmeF4fO*YxS(T~vrFxB+;x~^^L3~Vjb)lTAzo<RustMeX5jGCU
z*x(3X``nHfRIyFQxbRpi_q3WLz+Y@E3y`mkhdM~agVU83iQT5&uxsD?z(1bRg6?7}
zRHb6I6I!$OAFqy7g8{m<L|xa2-Ty)|vbF!tkM$~WD0Ev2FX5@=d#$pnc8d_|)k-4)
z&Lg1JYbMS|_~CohYWq<~p!gup{*BAt6rLSm@sE4|$Nq@trz}|RJX(kDrZK^Fj`)7O
zGNX0V6h^eaa>P!y2W`7oz}#^<;TB;2{^=D)TO`X{2PpzRBeSuYrOhlp$5TnqAz5z7
z5-m1<qu$AGJq&JI<*@->pF;~$orje5db<N5ZVj&T+?uXbQGaZ!eOA;!H>CjzsP4H%
zYdi;z93Z}6-+iP|MbeI(oIv+Iv^OM;XN9f-s+JH**tTdMHL19Jbl*TS*r8_P6|*Ui
z)bFrwk0z+^jKktk3u8V!JWwiHUHZQf6g8m&Qx+~^lh{y<4r^S&9y`;bU9Rsi(kFXT
zxgTD_zXl<Cri)@M?yLY)DkyjjUdX?*jVU$*olzTBP1Z{XA3Ec6Z@}a~1@W5VC4PHL
zC>S~}?y;kyIRHfOL`_zsR&15-Mp+>7ngfBZH5%;M7_Z!1j{)*ahItRu6z&`LXWtru
zG*eF(^W}d4e|rRc`LK)jcXkd<fz;9bcZ~ZZWG+&@0n5EETyGa6)&BcyzA<_>ScxuD
zH%{FW+?0L2Hj>8F$@Prj$;G7n93En(CxeNmgB>~UM{gb&>4)9B1?~~_29>S6pYlmY
zQ5_?hs}c2|Q4ioi$!V2(rwg__t#6z1YMWAKbg4q6A^&txtjY=pB2=0<JYk!V%CEuU
z@r+?@W$TGxGHfDHplB_WLl2T9(=H8h)qv9r>PNM>PUA$(9;{FltBYf-msugU6nGb#
z{&Kzs_V9BrB(ny5YDBi*kn9bFZaUGYe0;y-xnRqSjXrGvh)D28q2;BzOl<M8%DUdp
zuBD^yWCe)oLBQGef!QQ9D)tl4-6WzB+U9x>yrboESR;>hXs}y-mE@#sl%1KG83@}7
zXlPwm6%3Gd<GlesfCc`ZH}F0D4gM@2o6@u!HB3z@Ozi??$6DH@5*X53^z>T$=e{&P
zS5g7^8hJuuf3?4~fOh080emub;@_<ca1~vPs~#?UfZ{Kxulv*!_QrxU7?$A~#Ab}7
zoL}CDrOw|7Fn6|Z5GIS@-6C86flS2NSce(<)(c(qp*2#VF?`jZc#C7ovg%qSm57hA
zHvY^EAwd$czl%WTde`{QvH*=U*Ci$zY&{OjV1z1G58wTt8_I_N4~<8JjRyi8tqh?f
z>4rK|w8#O;hMFu{5JHj^PAE$ziL)Iy<qsD;`cF=+{et53;RPuk{mj(5pP0?&ZDnx$
zv=rCXS7jllZSII|Jl!>&`rtS0?Ss7sXL?+j66aCbiG?h6!KEwNh(O4o_PN#fjJg&e
zdB47vw$C=qndyfl7&N0=1o@4Vb=rsTY7kwGsORI7)!#!cS9W^JZ307**97y8qbUl7
zHI>2P3xZg4PP!;MvlUszo=P4muvh(9Gki#}eZ(dog_SIXv84^TQmY!7U%4z3yea+k
zB^B~`R@NGZ<kONPAXnGUC{@L9d|~H%2&zeTC7RbS*QpLj>L+u?svvRyGFJ*$Lq^Gy
zSgs94F<m2-q|?j06ADS%PP;#7dCZ=@#pcyfUEGAcOO{1pf{qAl59Cev9s-551rRzV
zx#VDn-l)TM8Lk=?iOzpMKLaEkp}^b5jc?cm5(!Cv4-D=Dj@yQX(L!Ly{J?n*#$b4v
zP~zOTIE-PA?HuVSHAZcJe?<94>62fw<?fPRGxx%~4`&oLzz{t@&uFTSh(0+&9!N%g
zDiueYZ~xgQ9_h=A1PNd{(sAW1D+T2oPt_h&{@+fdj>0CaUKTO*+}9dGuhwM3&UJ!i
z(UAn#*f*z6?$PSJ6<gmGBM(8Raa$6E>s@o0{FmBQJD37cXk~IeD>uq1wMHFX{<61|
z_}%PR)&4wT6j~_HfNr7@{+Lb`MC5bG7|}Wh{JP5ON;v2r#C?1+ltu~MMCq&wPZk&C
z2~&Ae6rK<QlxrY^^}=H+1W`XK>)3@EyLG!e=YRdkMBu4=TeegE>5L&QytSX5_8PCL
zR%|Q}vN*3*Ld1dGd2naI&F9McA(LRJazSs~*pEgvQ8Ce81pK0(9(ta9-Vd;tff72n
zb83xF3&iJ}Y>Mkes=UnNpN!JF#H;<Xlx^^7poSBe`o6D$p#KhxVJHgOXEmeSOLiuX
zN`}Kix!lgu0|O9aQ!I-?n_n-+eGxC=5QBh<;KW|bOS3%Vrj5LBVjni!(Fr+0XM+`7
zFDw)K81e%_dF}KS;Ht;JL4e_;rb@w<jbTLBi{Z+37!i>|p@6qE8+j+&MVd~Cz9$kc
ze2v15(wh$}_uihl^Bj1_cyKcLRSU9AManZKBClb!ZVn0@iT&cS9NwIL5Bd?{F^2!`
zZS>gx=HNd}J1~q2!^GYlCwvRQ3OPm~Bv?g?Hgj4^=-f(e-_TATA!4^PN?Z#g2N!#!
zR>&(w-$r*x%kG7+Rmho{5OFE7*M0w2d6MIp_|MB-_8s6|V;(%sstU+NDWNBrkVCpb
zA6C23j_my^SeBdH42tU0z8$ei<pr#!kh(1An4;|(-r(FuR{8EtQN21)m$AQNiQSj^
zM|2ZA`r>;1B2i#fq9i#J;Zw>+93a5>f{iH>GV-SAf{s~XexD|nxnF5i0ypORhqpNQ
ztXB>p7IhXQ*V81a9;=%%KbpRw__+S=g$REC<-Ci59R^Qf@yqukTT{pqPQouBC}K@c
zWstbL#A~vU{I$K!UGv89^q{ccc!5{m!(NFQ=|j}}d?9(>hb(Xt#=QCa-H`qFMAZgy
zyi<4^4<{###vlJ*rGhob;Mpvtm_5ztxsP;{L#xAS-%9Dyc(Y%u?AGnz(+LkJ3bNbW
zgOkrYNCR(;P;Z9c+Fgc^b5rHMMPC2nQOg{Q-wj2by)Ety(QP&x<7VHC_5_xTA25KK
zphhMh^bRQJB*XWfW>GtnHm+o*E71@5zs}&E$mC>oH+nHmfALfQue78s7mU*M4l-A=
z_%;=t*oM~<a!ZcVDjV1+=I;Qf?D6UH``6J*X2-h>KY6q)Ofw-%HHA<FIzD_#HfD5(
z0u(qj1<YluQ4VG}v@ldzSseI1L7wlXH$mdxH~kEJ@>W!%13EZ@Y<2Y)yYGt0^n4eV
zW77%UIiWFUXszWxcAWjiQ1*=z*YXqV%eg-OwImwW|0oT&1AIDgXvMAMGGV4ZMw+84
zsCj@bL1LV*8Sn{G!IW&mwEkDwlxYvYAT5acLJ;3T%V2vtL1Po&WL=|CRayB3#XMyU
zl8L4#Xx`ZBz;&n?C?Aa+JBPGkE!=Cp(#kaZa(sLYq&q@V2ck`5*Aq~W@Fn;uXnrKM
zis)&sWUoR9&8lc;trA`4*Cu47$?3yHN>A0_)?Vgt|DPY@#!LmmS%Sdci|=dKcO6@^
z#7PCbN5vFrIF?fo2?T^D@uWxhmn&X@G=o+3n?JMH&`ytF=$-W{yHJ^64+-HAPt)nA
zcWINE!_Q;!<6qbWkZtR)zO0VPtvC^kv2h~E2(|mme~$(2{RQJ)c!L*61SzWNbS!Hx
z-!iy-&aE_qyN)TSFgQr)9*fB{McjXI=+x<~BxScg_u>ouFuk3SR!Y}19`l)_`&x>n
zN5d}d`DVf&{I{Xr=U&I!8ryVa6bF~vTJA=jqOWQ>;7c;6SF5B9#=dergK8E+9st`&
zGxkf;V#uO0`zoPdF;*A9dzhPOAIm9cMTh+s&PJ4al)OI*Sw1Qj+SL!C;=_c4a%#E9
z3~_x%kwm0@Imz|q5AztBd8ilP+hd8nr>$MVMW37sg$_)M<L$7DttjkU`+G}4D>|Ep
zHI*#5h!D%Lf$4FxYbNbdJB*AF0pA31Rp=UnVN9un=HagneTq1>XfaHt&jz>$FApf*
z_I_LffZ4=PI@;OC3oU>A%UTZ+kHy?J5Fk3Tq8Ovj+1IL=wy%rYbB?UcUweM{B2zp=
zqvG|ce`WiRB;2VPZklmV@?r$I!1^E|UAO69Ol5i;zmXBH)k|=ai#`F*!Xsex0Nty!
z%NUVJw_<==9`|d9G={=Co{=OErix+w8QN!yZv+<G*L8uesF9mrcNiV1uvA1e5<G$C
zf$SLLtG6G`0#jnh8=4iD4>xSSQ2iPZ9Uedz$|+wRTyp`rU5qeo`=t#Vi{jx0pmp8=
zRL+#!(>H}!)9mn|n{7fJ3OWSiH5|KBS%Rsc7S#gEh=jHG30Ayb^HE*^#BZmj!yDJw
zwX0pA`W1uPLBsSK8FjvUTgMNi+>DKl)prNf`38CB@ppgx4c3%v$18lmGr|#AITxO#
zAAszc8(Q{-A(CX`iK95kE!lf>)1*fIpbkI7^Fj~^OYtI~irKG`zxfg48+jN&ClXJr
z4_6S>orNB8{`+56bq9XP`}Q@4KNkm!G}o;RBH(%<?8WRJDx;DsN<63r@x*irXx_n>
zMcA5(nq*Wb^SA!E2iJ-ob)_fMJkA{qfOnF%f7^<)vf8zOmmcI48iVg7h=D?t&-I)z
zt>8Z6<p?e=>epM4P}I`&p}O~y)u@&#vsL9vSW9Djq@~E_zv+XJpivMw*xO4=H4UdW
z3uUF@D7b*Qp<w0`T*P<E-}pD2?uOGGF;VJ1{m}pu@^Wb_P6_+I^*eskDUht?e{JB{
z+U_5uYg7=5a1hWHqaR{uOusA!jg_nUip#l;Od4*$t3q>9?t{*LjWLnW^#VdK_XSUX
z9Fov5`2>XT{c<C+$`^XSK@H|pAL$+UMj7td`cr{)^tJi{Q@uEi1c~^?6Hr5F@wvB~
z!-<*ta*XDgTE0)OYy`iOA#R)v^6?R{hOgKt{W0`|e(WxtFCnSzsFan)Dj+WV2DA=L
zzi;GZK2Hzi`bk-cbP*YuqJ79znQb_kCr&|w(l}*k_OcwBpx}5}tr5KzO~1`-TKrCw
z;~Oj(#Jok@sFT9YLgHrcqB9y1O#ZRx@YRRHAl=hkYMc)Vj(v$Al+B_qCe?TW!m<xQ
zZN&ebv|r-ZTKJyKR&TU)V(oDDg_eAnm|H8e+-F)GB^L7$w#;)-0#sBle!T|YcvYQX
z1I`ApjLDSe(o+2_ts*QUlB)NOePOtPo^JzHr{DNCg)6~4`&{Ts!#4$8soIyDuNnf6
zA}xWVpHJ}Ipw+Kwd{|ko=#28-z)r@ETv3O<^d<HZicx`YP-6{_xt!DNhsVX>W7<5!
zP33NGl{;U@7z~4hK>Q{{Y$%Nz@NyZP@6T7&+D4O;P?55Al(E7=T@JaMVvj_gz}vh9
zdl*BfWTUIwa07W(m<UvH&41_^{pv68?O<S8{*fy9CQHE#S@O~AC9>qk`>u{i7LE5I
z`#@NonFI1s#t<Hs^3t!jskkR9l@j8LBQdAUq$I>-xLNgzQc<V@TdK^tV<V{CUjMX(
z&QPBG^a5T>Y+VO+sa{=g(`r1n&wlc+iKF^_>Pbl|W6YOcXPs8!TCXcVM~{YQif%&=
z9o<c&Uq?$3zbMhQR}V*PsT0xpwHxG?SJ^hlN0bKA?=^-^N?(srp;Lk}3_tm?>{sb)
z%vbr7-1Cv>HPhtk#$4w_cUCBik&Ka{Q|~%^bnt{gsgwjw??*j<Ei!!8K&lj&ucT5$
zm^bgEyDa*fN=-m*yZnbWJk1I}A=pmvM^E&>Ds=BfQo05OX%a8u4UBF|)Ey7MIex3*
zch2y#2RYYP^g%r0M+TAc*5jiE5!nuj;pbvT(;>w4O8uk4@IQ>{(^<yZM5@N=6W-*#
z<kMYv_th1Mqg#w;5(rY4Y4bS!0a}k|Ob&?|XlRu#LN1Cx9~$^P@f}4)1c(Ah>#TO6
z93fRz<$T}i-<O-jIN2<{q?xx6zcO<#yTha^^s)N}oAH~PgJ7oHz_+hqyg}Yg<;M&|
z)a$elnGF5|hS;GVfgoR&Sfn_C+0aK;!C9zLXW=A23``p;+NL0U2nHX!yFKsMB{A_M
znjh#_KRq;+n-@}FT<T%wt}v2%U6;)@87;@C)M+%FG*~nr0zMnpxk96Vtnt4veB(qc
z`tqR?r4)7EB!7rM?r($?qyqvhyGIXfNJMb&{jv~3KwoeZ4C+sHYxnsD8GJ5s@r#(t
zzGreHP<1?$yeE7Sv)X<vd~y&#Qn6A^=R6>hxpA-(a%+;{c8>@T{xd`O;{_JdA90dW
z$yRF2NEo(j3dA3-3JouZ>t2><&Yx>bMfZ3gE%T*~ULLL7{8`IYFkuspxSQq|<OXN$
z8h-$_nu5N8u3^i-REiGWlYr9_FzeLQLJ)M&#YU3P(2UwFhm%5CHb(Lt&7F3t6zz0W
zaVC(x6LV+$(!7`|ahKqZ5~wWqQw#@2`Arn<Esd@G6e$E<*8qLpAiX{93x|ySZ;<D)
zqdMY|=--3ez6Tl$WgR%SLxo@=&kxWAw+rED_^(xXD&nJ$fjXP{V`e9P2_1tarS}LW
zMy;-}#HsJ63E61UWSAA=S-eI|7o_kh5L821az{5H;lmKd60k8?`bv@YdVPZbcfg65
z>mUd*OXDd*@TDKP$jI*P{A$>ovmRy(P{m0hf3*>{?nZ7;Ka@q#rO{|Zq_OoDF|Au+
zg31zdew(e7>8DN+M&jMS&vZ4D8Nz80iwx)+-3uo1Hj7Wl%4_Vk1z`*wVtJTPy1#TE
zz9-O*=Ln@vsymzVv!uA2ygQSvo&<f5i7fBEN@*HAhO^jBQfrYziOXYr6;YH%#y(eg
zq8G*H(Rgp;oPP!50@xOKI7@(|5=B2`kA#;f0=L|Xp(g}+4|DS$%G|^afp?LQVzj%C
zBmT*vX>j5zKQJL~pZj$|3^O8Z<}BSbL=0!tItID8?NJ?*_g)Re6i&dNEM6`ST1G;U
z9c4N$q!c?hKw;PO=n=>EKzv|<UD8f_CFt$2g~S;E03!R5EGk0~?i}{ymEVzy?O(Tf
zPqFPpfmRFb@249npFgN^&`^$~l4y**l#=(OeLI%M1PUey|9{z4T<S~ncs(^q4)5QL
z`6NA#Sas$Paqu@tezZp1m{MiWOSn3p=^3F%4m^UIx{{CFZ&voyPFDdxIg;gg#E!EB
zQM7m6jf0ggMW*`#sJYY2r{eZlc;$nI#@@@8*xVBfqL;7ZU?kcX*Wn)0*tHB#&S{iJ
zY?%I1>ZSVin-P<iE0CYmMG>ad<r0R?hu^0mZuRsOVvVZo1<@eu%8OsPcPZstc&h<B
z@&L+AF}TMZos9lzLA00Wo01iUu#;nz^%g-Let(JZ)b(+PcR>Ca-`QfzU_Pi283yTx
zs0zB^h0b)U&JThD-;YaQMd|sqOA%$Xq%p%hz+Tcda>rTDi0U_TON(UdMsh()5~ja7
zaN+ED#41Ki;a)P<z2}I{oNa^&feri%cEbgbrX;PibpR!zeq2UXx(f;yD-S?7S1c@{
z!-XOEnlK#?TXOib?TcN%SsCnMiKwquzM{R1oO~WFj+#ERW=&FqFfD2Q%TGiyu91gf
zOmYfHa%*V9G3g1gZvwpCVtA5#mtV4?!-sLhF4Y1;gXTXL5?&XA*xtDH0omZ6)f*|1
zrB`NI!H+k#OMk(;S%+psa-?>M_{ox#yG6RXG=N9At}~tga8nOnRtqc3?;LL~5Cp2N
zW<fy$9&+4=`XK#@dz*s_58<tzJ)JYymM7B&X)2oXsgM{oS^4^db5|qOfc)lS{@;2D
zT9n>u&L&5#f84<O^R3v6KNWlP?=MS#E_|~=H;%JWX0H>ktXf#-g4>a|`knxrmY3F7
zOg`uQn0_29C*yKD9*VadfX5P|Exz{XU>N2M;y16*#R_k&<Zwi<cRvV;rKZ}d-xM3-
zeDci#>2d<CaN~dXaR`RI>wcvsSYf_dwGq|$g>E)hqBPi%j^DPnC^_tsf%AZOh^150
zfR0BU18sR~tsD;5ZV>P=3OLyY2^5oEUlSDe8phE2pWl_LW`nRs63Oo`w#m)78xxt2
z;E^rT^>m-@3rFTK=^Vjmd{c;A%>~SadEB;&)$Xd^l&muuIv5>1tTc9KthmC*U|1u;
z<-X-sQ>Hfl2TymLKxz)|OTAyHp+vn1ohY)LXn<T`+~&UB@3fz$TJwvs{_T1H9AEQm
z_L>I^A{evSQ#d2!p1F*fzszQJQ5H<N3%`pL;`WK0;}pwdT3=W?XoP;E;o0}|FszOg
zea&9M<W%9Mey$tXW7CD%TDn0z$bf+#x~+f~hBuLdJ6&gp&i204&b#7zwJV@6K;8CV
z5OORF3>G;;Y^&4<Sp3F&fNL!j`BW~MtW}ZyKC{_F82<H&jPy%WmRf$2K<&<biFDP>
z6U9z5@r}=gUk(jpbn32`QH-4^KbPO2<{c%;&1=Ni&|obR1Sit?MlGA~O|L&M@W4pm
z<tvscIgWZ^D!<Bt@n?_V*S!p-I{;gvK_%2JDn9r|T6k`qw%KHxPUq&>3fs@n4$R)?
zx5bc*df80mC)Nsw#t8=93qFFnoLpjPA1GuF2j#w0p2%eNR-?GlWYoOxi@%{4*Vi!$
z;$knu>IQ=^dH&!h9@{$B>qS8hM&5VMh6%MW@Xx&lfR77{I%jnG;@t3s*-IH^jcAnY
zLLR0#94W*;k~zDslxsbES3z%BBb>g>L(N9anGe%`R8*b?1f0D^&XU%nN<*+~Xwm&L
zr!W&S)@g%tPl6-aYg+?_ZH^IP!e2hVYOT6H!A&P+m`WsDSy;FnCSD*Tv-FtxvHi2i
zlCjC7=p20?|3&1hQ0c}?<{#w4Ur<B~*FX9GR2KrhX*b}!)eu29YWIxIJI$^R0jqYw
zBNEvsUg44H{U6`XK5)b2+FIY8>Q{2Tp%^uf6T}bOrE_I>gdAlIa*_;W6*>eXdm#+8
zdmm-(xcwP9c}$;`p|DS$u);>@gq4_2P(}D~9N+Bgk7YGEcU;!N6opc_e5lxQD;?YI
zb@0P`{N_T%eOqH~4^g>9daEkpGOJB>-%*Z#sx)KIMr844-Wo#SFYybhVB_eVKN#;)
z7ynW)O%X^?I#^lt8ZUfCm=sM()eC!};A`HB!eJuxI4RaHlT{_$L{M0xfw>m<>}W!2
zT8k(oz|rSjxksC$$x3O@SFy3u)T`f^`#it{r@t|zu%pX`I}x+?Qpg>_sKCu*6HT4l
zo)MbQF3f^39u{nc|0}-Nkot2orE;|dzB^Wn6>XmJhkXI(<$*~sZ3lt9i?1Jn!+{*1
zW}&o=-UrK9ohcTMd3g$rZ`>ySOlb^2fYv6S^$sLor_(D;no*#dh35`>FJ&|n^wHN~
z(yaCnteb)!{9R=eBxM(w_HUM6@Y{ZANCgL^``*UW{jRuYd(_%=TnNIEx-|wR9>>=j
zVz?}%iVJ!-csiG)EiW#U9Q@rr|1nsOh$ipDCD`srEJ;BW!g6?sRd*B6fL37W#JH<C
z`$=6W3%rE0YIOdHLp2(kwaBWftyT`<`ztykqzngb?Bq^0s<jFq5@(oI5d|#HAcSO~
z>xsd!-B{H6o92rn>$s4Ant$XzOh7+RFwM&(L6vfZH=OSdrdn2agqeQ}xqCfmbEHWv
zZ1$rvXTPeMtWcO)Hz}@Ou^K<uKAG-j^fyA?UK(6*mU_Wnuv(#fHhb$LSirGdH?z#k
z+I~AJ5TIQ)#f-^xPg$NXZO>rCOGR_yW}7J~mHms@O!RiIs2t7}(R;X+nw|SXc-Cg6
z2kvLN0fj@NNvSZ}nhcWmW{mAO_YH#jL^u&)lH`n+V*ck~JCNEH^MT*GfE-Zwhg2c?
zIVD*2->(VxtXSw?aBnx-G0x`qlk}#t7)HIC4-%Yn1X*t36r7e9MIo;dyxxJC2V6Q9
z_r=BDMy@r&8_j&uls2rl3;`O5_Dh6<wx}0LNiT(F^vI9Jz~BPl!j_{s&3D?ocn&I`
z#Itc9zf$p<xi^zk&-^~^Xo(?YGI>stqS#wd*=}uS$5y<r&rZGj$laax`B{Ja-O<qz
z$p|yFEYiOqlgwxVj|+p<8?@R@^Olz|W6uGx&^3~<%=a}~t5gw0SmVN9?e6NNOaTxN
z`%TIMtw=c_Dn~AF@h4Y4LEbE@Xdq@Kh4~>rf^$RG`bc{Z15I7iF>nsE8l$kLIiZxT
z!JpZX>#@ko9?dm!NK(#ruGT%P4z2;w5Ea+f>F;0gi8%WR0=flT6j-!xSj9g17P$*W
z3R&k^=ST9Q(-yN=>&yo>Z)y!*dPCSU;x0u>JgT7#`X5M?GK`pi?aa<>@;i>X3DaBM
z-K&X1aAFS1xjU$v-!~NBFKQ^r2Z-n%kFRF8;Pmk?KRSZ3wvv^=>YZBhmQ3kX<fZGv
z#4ReSamr+lUAS1lrCE66G8Zv|{muhRFT_(UOQyHCfT)P|L0wR_(@JleChnYE)b|v0
z1olIcBK;{&qJ~(QZz{3l3MxM0Yh}&4+dj6i64{H)X6#uryI<_<&W!`G$~_20!?1a_
z6VO}EmZ}0{C!D*Pb0SX(^*QPv3}jNaze()NjAkDjQF#<Nj*6Uy)HV&P3FG45M6#^8
z9t5{ZdFvwZIny-GhVhwrP89oTEQ5FZ>(l^8KXdp1gcIiS0G#+<o&p4{>B9?3DB1!t
zj0*HZl!~s1GZ?gTOMmRlQHyXUl`iziR|A-j-JN9CF=jX3GLs-^j#vbFqd}UUDQVB2
zF~{an9(JBXsuC;W1SHu^y$da`bMZ6bqF=Gl&_`_;n6}9;<V!|`c@Jd6l6Hka$NCp^
zfW0zd$5=#z=lsblDYt|sf`u1z=DlWcyx}N5A2-y}T-DGvj@AL?IkpBP`UcHWDz<Z7
zreUz%Xj(>k2*=wp3I+G4puf_U0Tlz0#FhNrao(|B4_m015)nVXWU5lO)oqY%yDyH@
zh|=xEz4|vgy)|{A0K9GKqsG)MwU5+iu5zy!HEeJ9dfuL@r}DH>(6s?R7VsoH#{3=*
z%N((nGAf|5G=MV}pc8?UzE%=7(|kWdr1wcz1(%v6LZ1wj$l_J|b_)QwgAlL2bOwJu
z#uTS8ON7$vjr_t)1}!`~_R1s>joD;=eraeutt$1dW`7AwBOuR8k!&lY`tim(rU()W
zmUW(1l;tW>B7C0ZdY3}(-Slzs{`qqtA86M^kwd1tpu{wqrd2{%hXM?gMuvgtXeu+m
zLz=0o_ErN<N>X6NGsfr=#!k=n&1&zycX#4iq3HwpmXIrY-nx}<tKc>Eas|^{(?1hb
zIh$4A69T&Y4G~c_Sa3bTum!%V#2q&PiU?TU#A`~aj3FVaysoJe3E1Dvj!PBIMHj_3
zUN)g$%&$|Poen(yO|U7^t6U5_!>fx}qhzYTzlG-DGvLAtFb$-9R2P|2;{8tPhPWT5
zZ~rH{%(3w6Xc@62{#xATaB{%bc%*(mHno42CYNw4TLxS6JBzcTF10MW{q$m0TpX6>
z%oVn%4Ll`Yb9_8;qWMy0cD=@~sd-w4W~?V?D{EUX_uD-COL`+(BPtXs)&lsL`p5e@
ziAub7{IenHP>nW)3DAQYnLB5MA8XY>UW_`4JbjOLy$fOzbJY1LpLu_)oQ^(0TDVG;
z)bt~^r+O&@&r`h<&et8Oc~y$s5ZPGm7$7zI^^sEb^veGCwaV$Qq?!CNSkJ(f3zm(O
zOZewI05Jwj+7C8BP)QgtwaAR|z~9g6uTmD2$<N>Te&ab+SIr5LHCp!_96*<7CobA>
zUv?&Hs^`N+B`+Hjju8rSgK4Gyfrr`wq=V~eGUnXwgZFcDRqQ=y$<)R_U5rAR*N`M4
zVM4r5&Ix|3KK^<mEV9nl*HvKM5V{2JB488_0B*1UuzOkZuz?R3izL2MUlj(Z2l;)%
z)zOnY4wEcAr^&3~==)Z+|AyP|-NGV_`O2(n|HMmHX(yd(04eOfI!3X2VI$VJu?u7G
z9fy(U5yl>XMT<{dgu_fl?t#sL&cnm(P_S$xIee%=$k4M7$me^4?XQ@HnI!&5M7QQx
z{)vHgT~$=$GI20?gPu;m`GV``t?y)7r)Zn!`2CifJzF0$I)W~Z`L=1bS0foeofPG?
z9hzYRnMiuZ(<d93eQb3JCUhD~b9_m@(dlY6G8pp&*grOg^l(@@KY(`ybd+O2r|SE&
zpr5Ld*LQ5<^(hnjA$wx&OCF1fMK60bsZD0o-QvSV>!tvi5aiR#uDw5Z(D4m!CgxgE
z%gGYjYi3*huDhB3EZR)R#!$f7dx>!_=#4OmXeUYd9M*BMLTDERjDxHrV5%vdWiw4L
zx`q^`m1iZa+Xo+I>Kma-o$%UCMs#C~SsTH+<d6126zAvcre|d5){)dZg>w6+?5It7
zO>_XVC-pG4*mn>FSS#I0G+P_VrxFG|dPrfFhSBuz0VQzIF&`28pKU{p-ln3~D%2>m
zugoxJV_{p#(I*DjV$Z&RU{Hta=P>QA4ul4cqo~~hpkfn@q?)G{TT||*1<{u*@0U78
zTx?E?O+)aOL$zBm1NrI(9dY!1U%Yq>XVj}UfJN8%Q7EPrTJ(Wh%u*=MqAIVPWDB$7
z_m3a1i5a0Gv%WoQvdJR8zr7ZX?EuK;F5zkxhh6=gu4r0?)uyqsy%K_*hAmLg)zwAw
zMs6Uutf_L(Mz~`c=XfrxsPgU$;dS4&&!!%m_Sn<GcT!}o?0$wJUA+0l)QQ_sj6H!w
z^h&LnOC`Za?3xg^qMF#CF}tzO_oI$?LGHKCk~+vqGpLJFnD>NnQ~R8G=~blXrm=TC
zf5ot?WBU7Y3mKaJ`Ej>NwT8)OIj_=xE4rWrM2{beIs3QB?hT!p6z`<(net^Zjply+
zN~}zya4;%Zusiq1PSuN~>}PbPl$@YUu<qL*|D>s}!FNlD7rrx$0K)(rT6JJTecb$R
zM#2f3B}yU7%1r%`*59~O@2^9@1N=T)^w@BNYQ`kXdR^K-1;V{y^fk8kYGm?c3C2_j
z13wk|z_)zM7C4y@_#JVEl+03yC}RU!0Fa8`(V|;0XO>>7vu3bm{hHhx`2Yy>3#P5E
z>mUR33;?(z?nA%D>H-PuV&HBvhUS9c?Ps8?q};rf^GAri2BjA4HlP8$1VsN$dV<I(
z3)=AVwaF;FK`az48MQQU&z~bY*<ZvBDNwgFqcM0!dm2sV6+`H}FQEF|L}Y31GGK<-
z`YO?zP$^BW;zKieY?EF%{ian)H0FO1|1|v9V=@#T*-pS@q{Wa2v`;}0|0-cqn8nc{
zV$Vo=VkAW5G_`xw7Zs$vZ5;nYYNhUF?~CY{BJ;v-1)ByT8-{QEL8#)+A}Q!L-{1oY
zS}#1bTwftQsVD_(bLPxzg{Qs15tQ#Q_zvZ}WJvrJxv<yxR|hE+5<9#y`;2QrMFZ4-
z1@5hh`)2CX9~wV?D|d^;jnn64fJy`d+rc<q1L9zqI*thHD_K`-iES0PBwSv&ea&n+
zf36rgY39Vdme-@z1yNE{LVL*TbmrvsT?U5e6uO_ENacmhB9#D6wk^3rYwC^mPuqzs
zSsGtnHfDlUe47EY<cLwxd-;-ZmJ!y=?=X$lWT<}0t#GPI-^SDx_p5~E#0Q(z=RF7K
zUo<jzeF3HhSJ``Nl^N4Zg-e;j&z%HyW&9jT_U)YY_s!#6y@kFaD3acJPfv%TLE{x=
zqz<d7DbMc7(3dMMF2UO$^{1$oxlu}JWy~+*&F7<~>UfuHi_gex5}GLur603-C`P@>
zk;JPoQWs!P8pB71zo0j^e^yBh_w@Fb6Bu|@Zq%Npl@-}GnH?Dfxwof>lVBDTE*K-&
zG9d#T{mjB|nz3MtFH7DdYeXI!7-LKS8OO!^ZGc0Yerp3`@#Wzwt%(gy-y{EMnUOE0
zNqUce2aYmX<TDBf6Uv~zrb>}f3g`{rKG3Ver2v9-^s{Xah{{*sm<!67ZV?Iu*FRv9
zK>W!+cdMbQR5;6(@Nz&iWjz8j$IVqmWR=m>zKO_QCEPVKixG+CF)PpZR^#81X@OU%
z1Zx7lmfSq8wdT~Epas^+rH4zXCuzpiK9K$Kpr=U&3!Ks+EX=Q`y5E}<)p%(3p$DlX
zjlX6`09sG?R=V3sHUhH+>p1qWO70*X0fSVBS^Wejw^0ZO#qF0NYFQ)6Uwsh3R4VPQ
z*Qy_z#+NhNSE0hdAk(tm+6D~wxJoA&k@SEQxUOidBk+X)s7m&-TUjHAoIJCh0g<HZ
z=$1f0a^B^+6)XZ3E1xG(^%!=I<R}ra`9A$T1<a2<wU~FjtH>1ZT=(ag(n#Up5|E2#
z;9!W9O6tC>A&A%b*5u8H?0hO@`=VUF@@=(i>21$xpOfLMTaD&qo8lKpPLC-*ZtkCJ
z*o<HWk&%|rWgGHvBW3OHIIebie$yrcm@K@$-4nDq;Z|48Fxzlg5*z0h+xi*E=Zff?
z3{Az<fwd^39b}Jd6G;{5U0T(jcyiWu(vaa73qJWI3XzH3vckLTXD$#NW3xw!FQjVJ
z`%+_ubn^-f{2$oom7R!>tPkR2VH5ehva0^dG+yn5+$8pgFos|}FWUsMIbd!8TqW#4
zHlD!wS33md7OW1ReF`AcBk1>+wt9)uQ~m;Wm)w0u;=L%MzmfPn3W<xmq4>ugwWb<O
zElI_0fOuz&Q|jG!dqP`wJ<Wz$%-}rJk!giv(pDX08`7~MA4auorFU;#iVc#9|J$#W
z*}*r^8fIa)g6tgPq`Ol%gu@<N4AGw>?;ai-W}|t<wHFu4+Vk&`vmrf%>p+Fb#@qYU
zAJ_ZQF-Yow6E|w;3uDD1P}v0D{*1BEx3)Z>OaG3s=e;22U{avr(B-(uem(GpPKVoQ
z+7v$Z(70DWMaFdy{)Z8h&*vKH#x@+2S7{SJ^jHOiuN5V}?#&6m=2Xl|R~M`^%imUB
zu9~&n(Be+#ws#W95vsI<!|k9yU0dib^XJ*$`fgV}Z%u-H)<A<`%jqx%RzYDYd;9x_
zZSHiO630ExDQGkmjX0jNPFzK*X)I+wQ~_<S+Uj8WcAURlq@_$UGVKQFp7^R#UL%Z4
zX9@i0$M=oeju0=m^Zs*p6R8glj8-z1jK>5s<0Z6Yi-!{UO=VDI_^I&T{<{W6oXbAh
zhA1TEzZ1?}fyt_6mjW932}r{*_P@&>aYGQQG0S0wPJZ{~ZOor5mE)u7VZ!+YfrI~A
zJ~0zZ-A6rF^aqa>I-98V;9ft;T9n!d!;-I5d}(j*4E|kB0{#S4sAnTIiY$@KtWZ=3
z0q1MzMo&n3>X(RR)pfHZAqMx186zoXw~13#X1~t<O-h<5H2o=>{#9Rd-^j2HE`qX;
z)=2kA3PWnt^5w0x7u39~@w4kAQ4q_pK8uyVc<<sH0y!xb`Tr0#$qDG3$ncQpYnZt{
zgN-XPB<O4W)hXv$7I>+lwD+>Jng^i&nN&XpDV*h;Tq%;M`*PXwufqwn6y^T?(^Vw#
zvRo$rtekv0;_H{ro@S59b=nz)Wu-w^&KAt!e!<EUb~|aHa^C41eh={)lj-k<l|7jR
zfn~la&N%red7xq_kkJ`&QIoz%nr*IE0?<e_P6^0a)UGDXplrjhN@HqmTt&XeXQv?~
z^HJ%^4N-u`2bF(;&>mX_%VlWvW3x}NEFw{2sS-5zV=c}{)F-c(-#FP1_i09#E<6>7
zXHZcG{BpTtrn$%T#$GM|Kjz*9o~o{WA2*aDA{3b;^Xxc|S>`cANKuB&giOhhipmh8
zgvgvZP3FupmNKQx6*3hmQ|ABL+d1Ol>DBvwKflla`8+!3?6c3_YhCNQulrv28n$l1
z+a+9mHy1XuBYm?R56j5Dptnu9UgSPeG`v9CRdc8WJnT1+zyI>PUQ#WJU|*{f6K{&1
zx3}3!Sm)Qe^zdaJS|;xAdS<E!W*|Jt*17F#Wq6o?49{NZy-ZoUaO|ymUrxej=lRKQ
z@-x-A*Wmk_cz|th$EWDY`VD}p?lR^$olCY@qnM0`$Wk?z|H^P8)%+nF75{@Tb8Luy
zKgOWj(TZtGR$`U?414wb+(;hYdE@J3sg(?pA}vJ%1o`jyJ?>U;qr!BbW#iv}r@u!b
zXz!0e?DP5|v^qy-@ZJei;hr(6NTAbT%xx)o^<>GD?(6Jc_1vMkK?9nOS@{Q_0>u(7
z0@Td!k{^&a3#b?2=ZL%hYDWI$V#iw*&bEspP6_oZGnYH7<-J2Ft)8YUmB@(|$vfaw
zesC;BF=Dl!R5s6{%(Sr|JSDAnJuNg6?CL|Mr=&Vp8X7(0qCwfJ8>5*I_UQvFf|@=&
zF}ea)XKH?E=@p72FCsXE{iSY2S3X^`0J*9_H2p!Mvn5zQiGZyY2px!?-wb^x{z?*L
zaVD!ZZhk<}=bGG^F~*#%5UZxyzHgC^;DKj9!Cu;Yg3wd0!33ej6$YbSVL!P>a3~7P
zVr9&c`$;KQ*nTF^3>Wyd9~&2`wQ35x8N^=bQ``B%l{4hd1-%ESTN=Mgr`N}J4jC5)
zld-6c)E|lX^5K&T(vH}l(<z)%Z611-;$`kLpG7_g>L-}oJpYqJ-^crNaTj-`jW{E-
zHKA^`$4f~I9a^pXOF!;}I_ptN-g*}6=)S8_gE@+5kGsOfW(`M@hpgE2DoMrTrAc%q
z-@#x@uV#7Tdy6PX_e+Se&yF|P($DX5;OQq2DO&E`(^x3;@Y3#Iir5Ck$2z_QMRbi!
zlzD}mCbaD!;G|vTNy@06mV2*4RjGNzV&P3q8l$YjMJF*uV*bQ>r-qo_S%Se4*L65o
zt>-IwZH6QUo=cbxtQ=hWAY2c&>K7A;HRXJuGy9m2AYQ5GxJjeV8?fU{FlTsM9clj;
zlY8PNq>3R{hq+fPM?ybpWe?l77TWmrM$3^|eBwMs`?zdM=rpm6_Ozfm1uph`XzQ_=
zDoK`G24X(<g79*gRx@&cwi^X<NP+aIn|ThZZqEJt@#uN5@(4`fhMs?udrg@+=6D(z
z-T-^6@ey*FD(X|avOB<|9fD@BJ)vm%9;lZdomn``;1oh#H%`XOu9m$kng|#BSEUx|
z<MhK%3d`r;?g<Mr{Tj(_pir>lC}-*~UyXblX3)>996xUfrdWI;XnNwW_|*F6ShFCG
zQ4y-UzW>@c7ZE`P&;5Rnc=~@{$a)fD6BXN^PIF!Og)3Q>AB}7zWxFzo<TQAsdOOXo
z775vAl~U~>y=DfGhuI}~$6wY@D@@ehE9Y`%tTsyEfe@3}m<Jf#1c|k9J`YjBA@DfE
z_n_DARu;#3O*CND(=sZJ`}@zgGCHr2fvcwbdd^?>X(_TM%Hj^YfAmn3-uURRA8fV<
zi0dNBkN6oLOnh{q#<%k%LNIJt_h;OT#ub@HbJ<erxNs~Me8K>a>FJvOA$*SfuZA@i
ziK7p}BjY|1EcK{7!Cqo)NdvtOmj|z!eIlD4h)jX>&NA5jkDWtb;s@urXvX(%7W%k_
zl{0CVcDt5y<4Mce3`R$e(9#<ED#&~H;-ChI-NAm48Ll`8ecZ4HCVgCWoW@SYQ;T5c
zk`G%2UI&#Wc#stN1FQ~Vuq#8ci1p|kn1y8sCeYO%0b7`3>tP)SkG&s{8xzAyIs{tH
z=frWFJ=laP0~#G_Ql_sb8RjeSE{uYWerca5UAQs#!(M0t3?LJ%R_)_89=OgKL_#Pa
zVf-#ayHV{De%Qm;;`{HM7Zo)tlp)jSxZf5`RmAV9QrlaR;IVptm#ZStdpcuTPff08
z{V0c=pZI%^RvI(D3wc|~C9{{j_bIWDj=&`{#~P6D)&q}!y+y(qlY637PF@EuUUTm9
z;_Q#A^1(VAJ%P&4McxNb-1!<W7<=Ky0T~=mGk02M|B$J(bgOUJ=MR7F)*{j#SNvEV
zA@VZU&musB*`$fX>%_6AS4z?rzIZnscVmd)UOgN}mmu@n`e6JMGnrTI9>>`!9#e+V
zBdyL{lc;i+ZaA79R^QvvBbzZ=E*J3fQBRPb8Sgh!{1&{pwy%yPp97)Cc$IrE1EuQ0
z8t!IUNFGnb8gDnT!zH|%WFmND<wJ@)_3@79af~T0{otu~c~x(D^1Yn*%qM^4t_&}D
ze4Q&bD7Dmyf#*!6=j6%)X?tP}v}z1&;>B<cuUMWz&1pZKct>Zah)~QCWjABzYa~6y
z6&=sbZ;kV!T-@AzQOD9mJ&Jj%Z7UCkhZ2NPAyo=-Y#Nm3m3>2#6S7hRN4-B2G=B$M
z%Tyi&VQCiR#V$*Xvd}<jw(2nuan@Z)<f*xET+x^kH<LjERjJ@P)Q7`zn@%G0S3dbI
zt@ojCy2-V8%WmjTU7W^Gnn*uMW%{z-SSwhLHm*-c6X~Iw6xOd-xJwF)!#K(;NaLHJ
z;PH22_*iVg59~Xhnt<IV%oJEg>wV)<CAUj#R9IbaOA0^trSmV85#&2_z;btUrWN5E
z+yE`6;#yRghQKmcLUPCJmIuoRnzJ6CR`manr{|kKJBF&>BSzp+D6uE^fa+0mHk__!
z?n*_aqUS03l@+~NNq;EiOL6Rd<;*d*mt$I{^vvVy3R3P;T?R2=TBSsT7MI<lv#nj3
zTyI|ki(-*d7b@kg8IYFe9Z(?&c22}{75@PyB(Xguk7epm)+ma-8(42xPd5BU|K59}
z2s%R<ACLY$Uf5hUU{{nbgzl5*R{~us917AhL~OFw-5gOSjD8V*N7^a+q*ExO!ShEi
zVeNfp@g_Qo*mfMm%Ak``<4B`JbQ=u)nSs^dZ+AIh$?T^QehMDw=J8{-@I1}+RY5Rw
zS23M|G*B~S#W}6wrbDwt7sUYz{4+<E9uWHM)e{^S-g|+HJn$6$xd7&_sbdk+sgw#!
zOc$MW>a6>YU1<r39;T<bzyFJ<_5pd)*%gC}G(m((%C12H=_tmd7v8A{Se<)h_(+4a
z`Z3<449XudV5yO|v)CgREjjX+d*jbNF)XEO9<g|IxYveL(~~a&k4}l`sts5oC4Z*n
zW0+N*7xSY%ojI1oRp~#XDfRd(lwKsKEzN4uDqkxWpbEF@G_7WNCM=&hI^s&sbN|a7
zmg6e69q;1?0z)Q+em<k<BFU2=-ur=8XC&6CiRm#zqI(Q^h5CbgK^}Y=ms&Nw<!s{{
zplxk|OU{&@FB>4>rYU1R|1DuuF!v?c*9%&6405NYRLvbNhlHbPYdX`J@Jf5lqwi~H
z;0+h-4t`^C^IgeNVsau4A48J!p~PUekC2w$?yPW<^b3eFy1bm(qA$f*SMv?t&=}^Q
z?<@-f3Pv$yk_~n>@Tg~K1rAgTnZ7&r`S@Z(XPzyEy+32OZ(0apUaQA5pXZtCw`ht<
z9F>;_@ZNQ*ndZy~lAmzaw(Tbve9>7eo$iAdW_>{vrC=JAy3}^Y#1S!gA=Ga{5<F1o
z>M<98--8GA2rK6qSP0)=?sVk#(wgeK#nLq6H2$dPks$ejyjlMNU-eUqH73tzX$lJV
z)M=m0lZe3~^5%)w3U1hcoNPuN|M4l%#nCrEFIifIq&5vcl{Dg~Ffihkk=$^XHF?*i
zv??Usp3(0YEDgK`WBL*tNzSMjisBowUUShFZ4UJ_>aVbRq<U^q6zA#mh%dkU0W7(@
z?;`xL2lQOnLmC&zhO+7{dhYHTW_oom*mu?SYIq8<R!YX#x7G*re&tG&Ck*LP>dDpm
zCxr`!a89I!v-|*SUsgd@1?4DDUn|W<7)%lw>A_ASQdj{VcG**Qxj3cct%ZRk`Q!NU
z`>z>-DPlG68C}%ooaXG5$?P^Kk(0CR?S6UMcueuZzUz7tq|)-oO~<k>iraCS@e1C$
zN?~*T@rb2-zqH&U$l=M=x*s*{uLKX-veGCC;k$?P9-1{c(OYa%o^FuN^u6=G7LCSX
zLVUgEf&N1rs=J9wX(}f*{bTBtWUZtNdQa&iFLKSKOm;o#V`6apaQw!XuP0VK4(PUZ
zd<BmKkdG%YQ>Y(Q@IMmGrkR`-U~|#cwPn;LsbF%3Yagj>Nr2x4WKA=RJRbhZuE+ja
zrX}QI`N)8&?5{K*b5vZg>TEua$PlRbMqLdAvoTou7^Py&K=|&?<0yAWa<|~c!Hb&S
zE{gU8q^7iWiu%4e4v}PeSLL3ZdR8^XX%@6_i&MP3>IZ>gF?f2DBVbjGez#k<M{&H}
z4b6Mp&jalqjE<O>aCbRgVN7xqD-wzvdS)e?%tXJBg#TuJ<kCUsXwe!jMGC9F=leqh
z1FafZP9po2#KMo@fooot8DP+F<Z0{C=VZ)`Rw-jF3)DT?{nMyWW|3r;-|$Dlx59?P
zmqA!~qEB;jrW)@fz>}Hdz((pqcMB9p?Vl3`C-7)7c&IQfj>WPBNX*`1^U~0I1U3wB
zzTI&vg6k^p-UHc*-6|sX3a4dz!D?EmI*UCqHkO1X*@niHb3jKt3=}{J6BPN>$f4v1
z-qQ<Ug&^=cQ$J9JGGNVDr6?<14_Jd<h-8{)n6b*IE|k&sN$J=5xL1;h?p#h(lPO}1
zRp4ir?Gvq)-TMydWDeVj8deTRa~txDc2nGX-|T)2OkbY%7aB-;&xc><cH$%0(A~|=
z4J6{v=reb^==2Mj9VEYyY1X#CreMN+)ZNzNLl*OO38oHz)X{nyHOYsRuE}8v@9ri~
zSse-K1|zy;E$M>@!<&yTd!+eurtk9xL*MtukNDUb^}XlT?@r3;jN?x906D4yHWzLL
zffz&P$}-1b)R=or*9W~aWtYHPshy?YX%5dtczqJ~Xv2T}bfzH2B44>fR*!ZuPd7Ls
zJx{cD;wH!QbG+nVQ}*H==QpX^HA(&8Bh}k9O_~I0^<46^F3b#doPr%T*vfKTNz+lI
zWs_%wTcNZx7{GC{_fdFme_BZYWpP+_sWLyOK5aQjg?8|E`Bcv+y<$Io5`Tcm;|g=k
zJ)Msxsfme(H_usLFgv7+C7x`9M>tztGx+M6b?9!I`*(RqPm}W11|N*>^awO0XW(`J
ze1k&B;(A7Ki_m0F2)@G7!DdZioTzK5+&1^Xx)P9#zc$BZkpIZ8xjWy#3vmY9sKI@@
z8sCqX5f34Lfs?)NtytuxP!$mT5TD|i8M$=B@kZ*8cPUFVNfC{9iMn}R{L*)XQnTHa
zq%x&npH-#gNGbzd&~8@FGG?r9t*F-QCn#gXroS89e`FtbyL5n7JGpJ-)vR=zZzcYZ
zPLaL~Gh2`t#9b_Y@nR(|_V%HG2iWxUI&NcozpAlMNv-@K?kHxuJ$sZbiJQ=;z)#nr
zg=|hY8V9?&ydnlHl-fPKsH;?(e+S^|+cl-yUG+(R+RN_iJ;V#qmG^hVC?02=?!B3c
zBn*`QHf~5qhBMSM;g8*O72n|~kJt4_T0NvWSxZ`-Wg%TeSj%7sGo4SIsc*=99V+tq
z^4s^4LQAoNeZf}y)rD2Te5oGCMDm~JIpTckbpc6Q@N~*Rh1x~ZC!Y@FDfAQ?7^GAN
zrauCcjIm>^vqp^M=JRH4GiH(Jo_#SLTM`~KB%kc|$?ZPzMpb7OWK5xi)+MCOZr@!g
zw6hw`HwLI%?r<pWE9UTeSjudBN9YvTy}cLA!3EO^y69@fE?op;o8W0#*QWAraedjP
zLw>nHC6)6kbBX2h!VH)<WS`L{>~ranKc~VllO%p9<-MjRm!quvkAyYkR2{7N>Cd_3
ze?h+Vl@TxL<Aej?p=8i-cU?e6K!#mITDJZTh4|Nf^!H*Bmg*n@A}UvWv3mYsmx~LV
zqdfCIZyPqbVaZeX<mszR9i-k#8OSVgw2U3N+3BKyI1mix)M`}X9~%MY$$DIRQLu?Y
zDdj3BACZQ{OnCpn{hCJuKL|Oh%_wQxQWBq7#F`>G{8Yt<Q*@!|N=?+5BMBABN3vKl
zMU(T7Oz)d=_nbbkOTmmXQATy9P*#=hV>5%&x8)A5A8+jDuit&|)xmF4@882{Z2S7+
z$+>;U2Vb8Hp_lSjQRp&#|MqzmIc2fJ_l5NNgMEbxg+8SH7UzO04)V8Bzj-qvzAN*+
zrnxC?a@^<DwGl~H_tDo&1hI_6v3f+@R;a?=n%Ca<+l7k|6c;<W?Cn#SJgl1jqUW9+
z9#3+!k%c{7Qh<jOSj!&e`b}&mCDM+_RJiI>r8s@*c>{&vwj8X3b{sQcK6ucp+r(_7
zb69j>{ch>Gn!vr@BPu~}!3_Lw40s||l*Y0LoSlg0OZ=!OGrk@ymQA|BNxE7^QpGh$
zlc#Z=;6T(5uC8xjq^k9<8@bZUkT*9u*-D0@u5pI$X7XdyJ6f-;a_p3?+Fr*tBT)f5
z+A2FoBQEy)iFF5~lZ+ZP_>S6rF>W^*t|t)h542KDinuk_^1dzjP_n2H%7b9<GT8LR
zM%n48^-ALT2Yne5p9scqEb#Uzch{XN?S6=imrtNRAD*mXmqzz;&)rG&+dp47j63Yh
z9b7!8EMojllNYR>!Xs=^a2rg$;v(tNcY@YOY4U2Frv6WN<N@p4FSouCvKwTjNyw#>
zR4Ttoy*1|<chlh(Rl{7+YxVBxb4hP5v|S|w`I(B-6X|^-cVn#E6SX9(Y8@r^GFvx9
z#GCG`IA}j*6*-=or?bfWtheWY%_Mjx*#MaH?L$^jeK7i&yJi0BQt9V+Lb0LG9S0Qb
zVs!*>oV;A?tu>Z>F8AcSA<BDdpL;@l85r%fwWmlM@g5(06^f*KpB-+DH#Zu^=WJ|t
zip<3OBumK;Fvd659BQbpt~df74xG=JOxc;hHwlg34?NU<&;#bZ_)^~u`P2rsKNDZ@
zi+ty3X{t|%{Z2ubuEqaUmVa5bdd;!x$N7#Ejp&|1ohEM0Ej;IvpLWJJU->|nwN64<
zyR!!qfol#q^S<M)ot@Bp6+NTN_dFkhO?my*KOcT2O3<hyFs_njtE(<|N7*=&+336J
zi~tAMK9w=LY}smK)2gUw<U_in^!9tWDJW3ZpQkj1)W4HE?#34n2d<J*kJ7JLf+_sD
zd<b8oH(MiCd1CY-@NA>GZkmcEg450th7I8&W4j|Wg<pJb2_2D)YB0$3t7VitPt@iZ
z%&4&Eb~~k5*+mz+J-3W>URP^SJJy_}BD?vmZZL<x&cZXJf!v0gV4CBCj9B~24#Bg}
z%S?5I*dHUio6FSI9QOr&m3}y<q<t&W&;!5emcZ@C$O|E_7)t~414zw&sCmeZf(Nmg
zfG~jSa5?j1%E(xs>)Ap6GTm8V4!~T+HC!;stS&-J|4Mo)H=k$JM0(t$hP2D4-9&wD
zHgCFp()Bd5WYTHJXg!Gr8k}kF`OyYa%dljJ58i&|Cv!>DlE(J-BakkfC6xu^m3Oqn
z4_|*@o8k8+bnl)oY#a<`Kp;!_%C2Q%Gr8lgoTZJF%d=qhV2G2XsMxb~e`5bIAIrR>
z>_OIMi`B*QRaLF=hjmYHcV%~8s7XJ6EMlUzt);B&8Pba{zG<#Rj3#J;c82Ll5g1(f
zHZkE1R{LHOS&rFdcau&}M<9Z%zD345p3Kow81J>1(4x|-;wnc|$#Uy6!ZwMQXk>d-
zMd<QfErnkbM}YkUhAR$cw`X<b@qQ#JQ2QSKDe&=Qp4j~ixNgoLM=!i}_*rhF@%=&W
z9%La7^HcDQ9JBH_D>p;TeS<hJNgc8T55aTP{wnrTi;73#=hRSNOgpueSb3q=Y{vzq
zkHYaJ2Mp=vh;Pq%HjQ1<5PwV9(28$$RU@`(|HmXJR<nn8Z1wMWo+sxpTR%H)b)rj-
z)5q^uA*YDuY&Ol4W5G|r-nlUgnbQ5K^nF)kOTxIg0<ZWeAH7;A>`0&+T-q+#mwQhi
zY5z2%q6RE1Bc>DgAN|2v`(>EXz5OZPyLSN`IhMQYh}79BzmrQIcubdh(qXT)PWn&^
zc#17}_MN<9PTo*k&Vcyv`(ss8v^Nem$Axr9@als-zeR^+b5Ner=F_zA4^><}G-Gze
zV^=7aDg#5<@O*%l0;}BMJh0KK(2@A)99}#%9XY>pjrxGOujTb3WmH#c6(1a%WG@-w
zJmk3Bn$pu{D)#PUWfukw_N*U=!!B_#r7RoabANV}xnFio?GbS+N9^o}v6mm3MPzSt
zK8)p<mqFBYx=fr1%e|=|aCDp|jh<jomEW#ahw*GI2#((~DYkYjLk;y#OJctdi(b^(
zn0=#4j--Rt7d6Wc&9dD0*3?Lph3xHvFCms*eKJ^C^p3VPNNYB2#^{S9zlRFzmuaH0
zlf%_6C+dzOo~x8Z^XY~?37385I?d6OW%nfgCvE3Mp0ai*lSU$w^P!vO-Mfw-y+!?t
zY35Y$LC%v`RWrg;l2cEKNabrV#=NSY2E)=S_ovI~<P4A6CB<^mJg=~S8^v!5p7#~S
znsGzX`3~;6gK1Ax=|!`z=f&GI8TqaRcTk)8Tc6Kv>#5es?FNHk%~Lu?`QM*Cs2wK1
zLO@vOb!~8vy^-XF*3}}4TN;O(<B#oazELppF!BdW=;c9Xh2e?%2vV#gkDLyWcs!_c
zv>CGvb4SQf4c~ER(KR^b&_{LXPQi_K8+_8K=Wg?RyNFmq?(EgWs)-@e3u?6BZ9Co|
zu$r$Q{%GRK{Q*tH8!>^Hg2S?hx(3`v9B&MzbAHC52%ExU`+U7WhU`$_cmz4=+fnPJ
zcNf6)Wh)tdgST{jy;}DA1{2lH!;-mv<80$t`NJV;hj@=p33cOnsK4lwrRtkvy`!o8
zkn+)FEK*=!Sn#DQ3rfN_jvl9wl;Dxd%T9huebcX7(4*ru+sz8fy!_YVC8i63$}ELG
zk}saU605ch45z_!vlM<=<CiMpl<wR<&)byicIH}Qi+XR|Y3!kC6%uZ#a>N52gQa+y
zQ{O{VZ@bO4xOyplP98eVEon^EIdu(3kb*~wc08TxVQ%yX{IfW!oV2T)A0xwg<$}r8
zVny>PRHdhIjzn;s{t3LUC`sahamEMldCI_4qLZ!{EWxq?XfyqT#9lN<tyjku$`D6l
zLk<iaykMO3IS@Pj2e#&eQudOT5#B=?kx_;SlAhM<$<ORMNv<%X7Kj#9oZ_sn_zG1W
zWWqtFM!k{g+ArhGCvL1sLvWaf^l>Qa^Vy5k%UVYY;$9_pb_w_pEH<A*;!4gW<$Do#
zbjNDOxCXp9ReNh5=_zgcULxD|pajVFAKUk-5+p1aTf6q|Z@({SO?rFM_`9|+o`O?2
zhkGe$pxdmDEvpA_jD7QkV{NsZRLciZK0^XTuiwduyt_x|A%5}losofM-$a!mb5u8j
z5_2`D{psD@tU&=~Ql!?#Q=A?gW+mJWK~lCW8hzSRmR{}}^e>oa-U$o5Nv@)@tns2@
zo_bX8jnqq49$?6<3cZ|5aVD`SnySp9LH!7g&(BZCQ3mCNLFBurBQ#$26+BqN0y__n
z;T&xQUM1qob%gs7l+^Nc8}K`})ok}tlQ~Zg1Vl#P_*HPsP4}*;Iltj>z$wSnh=EHl
zw6&gthiVikdlB62cQu{LiKDHye<G=TB(?kJ%eKqiZ*Xa{21;wJo!l%`zxkPWXxZ!V
zFHjA))Of4)5Aq}Ww3%`ZIZ5NxaK9=gO?OI59T%p$#XU88c4B#UEQh1NI=j%NYM*SN
zltGmteOXs@{F9cCSY7Ggf?`fZ@#nFz2RR3(WGXk<8ti*_GAipN4ei&<R~uW&HMD+s
zM2P(?WuSWZVTO?)z-H#hG;&YOBg<CDr2cxXcicy$S_+6Ie;I4sJxYJ+6ZRXWIkkcG
zk-)T)8NqymyEbomOLK+~Mi<alx<=J^oju*lD-p~wD--vIZcj{q?mTO}*K;?AeU1rV
zha2zX>YM_zp|0bTjf5u!Y3>VO1<CBZ6D!Z^=xk-o4O&-Ob+r8y{R-w5Z<X1-x!yaA
z_by@o!@~ksGUNlU^wufK|GfFj+1O<2fV;Tn7qyke6B-XS>JUHsb0kAihBNyH$bF(h
z+U^ZV&bkeXHP_Dd9I{F@8a!AhzjVmjW#$lljhH9Sb<<1~(bvn(*MuC1IS<_Nso6c0
zOb~M>IJ2*W(SjwM+>^}|8O-u#T*KJew!^*5NN1OYUAwK%ohj_a);lF8tq+yKlSRkD
zjDV-c*j92eN?0t?w7{??zI_`c^#@O-%?OTL)jXlhd`}1b(>o!^Xy7pko=bF<2JAU2
z0k+T9+(qfT>O9nlZEY3uCLaGgd>-^qFw1yPYh18`HDN(sULMU1TgJmXDjfg+{>R>S
zp?s~7V~Q`c->Gs~M_CujKZOcDsv-XuM@Cn%xt}<N5SZJWIlDNSo7h3`9M0Jg2=F5q
z_!yvfNI|54!0*F?=)?R-qzFp*_i-fpxVSh2ubR2NrHd7V0KX78c!Ggf!TP+5xf6Ij
zZ{lJuXKw0XX3iifNr1lNr3Y`$^oAVGA}afsHbT)saAmjd3BeO{YPZ9C<n`Gpv>qoN
z)njdGSTx$jMo3?)^WmG;Ln~xA;s$^13SWNW!Uu<i)c*4CqfFn1W($nUmZ?@#EDd9p
zMx?HkFVD|D`PE!J&d{f}z`RV~aAnTV=zVuxdHFK?it1V7n+vJ!5my8hT^EN7>TWxf
zFXnoBWjaW$T*I}^JC!nfd2V8MAhO%Y`$@PVSp2zE!kI#+a+*TwWw#MHDXQptcYf5p
zAI~m!>M-`4>^JR?=aEqH`eyLZ;DdR4R#A-tb^lA@&@QILfGdl??#J0V6!h{I-+oC>
z7a$mB_LH5y?^rS`PFhNw@}s$`&-@3p?QSfawpvZpH3^rEB12hzNwxX-C=9$PQ?3_n
zyex1x<It4s$MA3|RKTRx(Y<~rr?@7_0@PXDDhRKB$u~diX>6|BN1UzO9`Q_vGPQ{J
z6$htU4pOZGM`GA`wDWc8hjaREw$2>so^&=5MfXfxNEfsjE|~~MU9?u3RzBodcwU;R
z;lOyIyjbR0y@dI5!NFWc3cQWu#e&BKKId2m_~!@?`aTRfjQl(j^*({9!{peVf|m9f
zB^B8c1<P9Jhx%t@zdbwk(Z27U;_TFTYH6kfNIcKn>h9@VI8No^)`IwmW$2bDbwGy>
z7u)Ln9bPtC1?$>Q0>Q>ox8!BKx|?24S1Fh)kaNO8ml{#`t<PR8F3z}*SMU)T_o=;y
z$t?#-;<cZTusbPAHd#J8oBGvF89e#4bH1lbe)bRH+F9;1O;}#w7~*;!=q6pAclr>v
z$>l{cvG<FGM*b{S{J6hXG%q~O=-h9m6f>8vmbx#(x(F91e>|9C{BgSjelBfDF+X0=
zHw*vNZ&WG4E&2}W1u@z$Z8AOiD$@zaBA?!PA^h{=&^{$KXOOZT6BMDvellQTD#e&5
z<&DZnll1<;Zmf2<N7Zv->C*#$mGY^Gcf5Jgit|9MeWeDp6yBCd`rW_JbRpYGf;cW9
z(wi_@a=-PIRaW)wAsMgTboo}6R`;7u-jy>5n|9ZHUgR~6V1Cup*7|^v>%q-Dfvd_{
zeAhLd{F|B1w`)alYdmB0Fsh;wKhBdio_w5jRlSO%i1^y|0^OGqAsSg%BOS=-7BX7n
zs+c{O4C5~geQ|RlH$HV|PU|XX;}k(cXxz(dw__-R`G}|7ryG{$l5pD?I$I{}9L=I}
zO!Zujjz(S;zt`}3s!6Cca`rM~vHh{*FA8jSCGwk2>mKh?Q{cSA;G(v>hWBNZz>Fn=
zzLHboiP!z|SIc6E#zVNxhqNs_UG64IA2ySwS87ffemCb{akNPll@}&1ab3Z^DIuvh
z-NTY1{(bq!WkJ+!XTy^PFCyo0N#B}s1$@P2^lwhOnu`R}{uC;Lh^VWBvcHPF?hy8T
zhPuJ?Q*CyH?cP_MAk*^WO)<QO#P%iTvGbGME~>p&XElgw+WqK`@TphH!|vgR1vTt9
z)391gHFV_a*{<!Ox~$qVQ;T>w8-BrfZ%!7Kz=*<|WNs_>@6PFtyA*CW;J=Q()Q?kg
z-Hgzp{yklg5I>%L>hm*-qy`p?Jg-qs47UQJnN?4Oa$jZWkVmBXOrAOJ;PYMDErnl2
znz*rCo#6Cbw0(s$RiAf=-Rb1`<9f(1#x4y`XKN;Sf|@R~zN(l+su^f1x@P}UJ0%rf
z?(%gw$^N<8Zt6VoNwS5E!sO}xBO@eE{n`comz$g1UK|c9xG^H(IoRTJWX=g&i(mQn
zeB=ZnN4U4yt4#02y3*`dox*d8?Ai{Q5rVguTn4d*YWj2@%J4RNoH%SuQKxv`=^1Gr
zedMmtl$vj6WHpb=s0PcB77V8Bdj8?L@za))x+tvM`mY&!E53YLzK9i}W#NC9=7v-a
zb?bumWKUnrmF2PpX3-Aa#`$O2??RQhGT)^i=AF<>$Tkq`7~bcpSEs?j%xE-W`7C&L
zwRuQeRi(A$)J(%%(t*$yUHmSQn!)3PJ^~j{3e;V_e{H<lMkeecR@i>i3rCeRB7Y65
zU(BrJi?{$D1vZa2Rm3!((d7I+JJ+{Iy@`OTGtwr`bS`W6TkmMvSC8>uDv7D)*YWOq
zc+BIOq-bF0cn!mH?s;LKhG_o!e!~>ULnwDE9)G136)Tp#EIjka`~!&S{MF;V_p7=;
zfBe~?N?7Ccv8-^O=XG;Jah(<Oe9s#y70RisAD?)9({)(&lo+-E%d?_1tnyptA5U`^
z*LjI8?ed}*FlOXXKQEUyCCl(0uZZo1&gd}1u&DUdkw@``Q>d;N(YU*KTsX7_6QTzE
zbsp-naC2KrDBrSrm#I;}`K`=vyyTQYBY7jKnsA7->UhtI!<x4Ri|Cfg<FxVT$h<$)
zSx(3zy-&7L{W2aUi!;s8l}Zo_Vb&jH(wR@0)en)ADB(z99B)6tG5h0gk!p(0Hxy@z
zfP@x)H^F$e#j8tSYh%uTNq@}I@_}l=zv2x~7~O$-4S_O);zuUgez>VR%FbWf>3gPF
zZAcb0rArUqHK2adVZr|W)Ly@5c4GIW<#PMQf|L)M6S3XY&J3AlpW?g9@xW3c<f-Tw
zOMv*DCWIo((r(8PAAZj={)A6_xyGZ%g5PpIO~`(7TfR=Wv-+!9N!!%Egqgd~ZaKFO
zWE6G2B=smrcf+DB;v`}fH9xG|{Me3HAbmGm!QBWBt3(Zbb<!vIJs;QZ>3Vk(>GLx|
zA#`PWnjJf1BBjcacE9G^{bE<J#$%gSzcq1XN<E;>J`%6dVRXT({Z~ui!7rb@V-Js$
zpQ9l6XwXO!pLt+;^<nTUBTp&il>`-XMO#-QZvp?{mnFru*$lHehmD7vYE4wr#$H<2
z-Srm>GJTn1s>$Q*_Wre{fmSPiu?E%KnW-u=e}qR7{gPD2TMeqoj+|dU*l{eA$DZqX
z7Ar-XC;BSi7W!)aD~C$F<r-UT_Z5O=N2AJN-=7Qo<*CKqB^KGX1F`gvLZ&l>KIw;*
z*@qoEdHUKpirWLBhKE)QL{@G&M|b52FVj4oAS)xUF4y>Wa{qJdvjm<mTrKtr7P<Dk
zXclCD-yL4E57}BdcTBtG^A}sD=7R?aZx1uZv)BiJO9|k4bDpnW*t%=!1(JY<<koW3
z(4ao<VL45`vsd}{-h4Yls=be7SJC5-*->LQNT!98QgY$3^%wd14P=%N?3${0sLkR@
z_HZWcA@_YeR)HW~c8y3nY$6U{oTwMB?DriUIvh)QPE~o!ROv4>G{+9m{JPg$>U@(;
zBY5?OP~o)pzJp{hcy#4^&l*lAj~6dmkx95MX0f&TSGjaF_|)G$o7X<mkEeP2C#xH)
z{JAO(BG24o?;PTU$qP9MV}j+><|wSYA6uK&Id&)}Jj=Q`iT6Uhb5D-fp*B3_a{^CO
zIZicrrLQnp?4!kfahlD#{eYr%rs)}<;1a_s%QnWWEG|~mu{~b)af)HX-3L9W%cv^5
zLj5Og?Xw5{;*=-7s=v1UDmcjIj_OR-YB~I*CoChn$nb{QjaAOx2Xd!m_&YL4WLI>~
zgmkiHe4LK3bLHUG)0lJj%qpKRBRwPcQmjP@Vd!LM_kpKz_PI`4K$9QUXXN}>i~3ih
zZ4aeK#Au&zo|*q}@9ewR7szJzIg4J?^|Y&et?TWz;uTD*miyGknd{zxq|tNVUom7Z
zWX#Ir(01u2$o<k8$ap#O-hg$e^cr<9{Y{s!!V1HBQL7B>>+12BPw&E)svy?dB~0e^
z>dVq6@-%NfZh|;=-CbW9rnw%;Rt@AnrW)II-IV1mAs)5PlT}+)*XyxFw}#@LJ&8DP
zdM&kWFNxX*2Svg0;F>{2rs^(hdj5p-^0sGFJSg9*NYG1}Msku>z1ZiNI>#GS9dM86
z^H@9k^ZQ&$p%Hz&l@FhUkABlJ>VIT7Vk=raAMkGPYh7OIshi>S0}Z!w54Q_nFV(;L
zW8amTYdvSj+h|`TnncqmK7Opfq^5|g(EiQ8+}jbkJ55AqZePURp`gpZO8BX(iSSKR
z8VaZipYq!4F6Q6R)M$}vMe4lJ^~gCmI#bq_vlKfWF1dW`yZEVlr)RCc9c{|WSs-YC
z%I(qS<h9>!*m5P92lwk~@eXH!{k&8rR|4OUylt$t?@m<vVnf)Q8EWNkl*&#)tT8$}
zV7c%%t$Fy;jngmAwA$<W|D=%Ua?)cnD!>0`Mr(vcv}QJ!=*!G}U`U>bgb}68!@Sy9
zgj^lz#exruLSHye+`uojv5MqA?>FOXv!^_|I3~nJ*YWJM<waz~tB_mew!#;LeYr!;
zpN(d+4UkZ!Blyg<+Uy>Dt9WJWrIYl`hDWc6&3Ym&iJD_F<yy8<bj2{$$%e4jmTEaX
z?@8js0o$?YqY-?gt@4>|pYt-2+#!@hyqe0Rw)i%hip5<)ihUOpX$;6>oo|~q4%>zh
z&R;HT)w%8bp{6z<1ZmhljHfhbrINOsTa16rQ)+hcbP?a+jo~zV+EJMpRf!NO)pLms
z6e`b(rWL>P^?BZ+pEM3{BjT}@L7f*-L!ARkg6w0%Cq6WIiSTN(lL>#Ly!uz>82uoz
zL)BalGWofi_iOv+N3x34@5#)Mr3$0x4UsX>qn0l-y2dptTQA^Ed;V!~FO@ZT-h`L+
zqEA^%i7b7FcU5<a&6F9BcDH&-#BFN&IeiMI5sH?v7vryA)OH9yfAXmJz+Lm~@Io~$
zzSsvZX??ZJzrE#uEUBO<E^F9pt@M?Vy7;>%VRUK!ysb*^2k!hlHBJ-9`IC?I<vn8U
zPk7Nh3-fqhR?98z;P~{72A<edgwa&!i!%+n;<%(LvB)+VD~f_^B7B|G^T}SzRNnK^
zAA9?SM)!4Gv|n_&%y6Yr-)-;xD}DA~7^X`7=fXH#$M2<*2Hy33x?5oAG_&oA!{d?d
ze!n~;*sIHb8W{K;wGHA54z7&V4{vW_IdJ!NL^;J{uck8z-|yS5uI$Sb_Zi=&m&+%-
z-fbmdVBkGr?(E>|WNPlr0QG)PK!<ePFPJm%YMNM@L!XYDn^~L4I9y^d-~%TJ@e44Z
zL<G)4-^e;ST-f#tne*o6X4`(F<792O?H8IRPUiM54E&ff$U4}&fCJ8;M-6qePY{64
z^Y5NF)X9cA>IflWk>5vuR}51JX;T+#2YUiuZ3bRN2OS3jUO5H>eiU>b=%SxGt<S*E
zC(OggfD+&X|Ju8rKYtdw&w4&U1brK*gRf)la^9SQO~>RMcyX{`z!Z?30D=lGyZ}E6
zE-C}By7?s+1_1#GFn}npG^ho9Q*d<#%+=v<p-ODHy2eFwr;FC+ZVVb04C*IkO)M<T
zx4pimllet(O{jd(_0hKzKz~%Qc5;Spj|P)h&1BO@SqE2uG&et7Fn-k9MK%@;`rYP&
zi7Ut}DDd$i`1$w*<bS_P^YQTsf*oyzz;{C6I7$$_B7eU}f$s#MbD-~q*4`tbbA;E<
zgTDj6LxS(%>wxP+=fQvAI`H@Zygqb}2>1iPgYJbAklfG$8zAQwUc+N!&7dRO)(l*T
z4+WK67X6300}5RV=&s<7e=e~AKWOv+qSWiWS!>tzN}$^nZJ2;Y{K8N!3NnV@G{PjU
zHqhv#xs$bpyS2UL4oD<`VGa6bYd3&6%P$P)vNqielM35#vlFiN_Ry`Q?J;+QZNtRc
z-rVUA<Q2fw3Vq)-D_^_sR$JMaYC~J1tgEw&gPpa<+P%#f<SzliFxz3JF||bB9Aiir
z%UP>9$m*?G&RThZ;H_B>V$E_y*35fjTVQnQH#`{2f!GZAgRvmkasXE_)&jpm%m=)K
ztZ3bG(7Y1@$6)S3{DinE_xoHSa1LyF&~c0<qAd@$HgF97EjR{o9J)4qK6EbTI-o%7
zR)yjGzgp%di^DV=8cK`=0{)0>H9+XwZ4D5C0SGc6aAO!CsIZV!Kp=pEf^w}HD0D7(
z4}pmQC;s17ZtZ$VG*DYWf#eGU4w5Aq@CTg-3IIzM)BsQeA-4qxZQK}cq4C0S3&Lxw
zaYNt!884`zcZwG%=l^TGAmVO^7u04jh8PlJh$#3c>^72Xt2k}ruF+1E0eEN=J9Chc
zcm9(kZK5(l5aYhls(`?JUQ-1G#=W9d0f|D(!WQ*{f4F@sLQe4?vH%DLGahCYn)xux
zASBUjgBg$hyv{su9gKXytc8#T$54n(h+?E}jehHu03izB7CnQ%{d2*=uh!`Y6&5NK
zreNR|Zf58>R5<i!L8z&r!a?UjCWF>JSOd}L>;!~=so0vCtv42?@i6WNZaf46!z4`O
zA>qao;M*cuh)ppA92svHRjvga8-q$v1s)+j)Yh;PvDIT^yaa|0XjC_P3nU~s5NbeR
zP!M8hD*R`pHa7oyd#^RW5Qf7TlrR>sMsXwtG)%}SxP}sp$)+d-u_-Y43zYbw&|5%w
z8<e)X{QrQ`MzkOww=G&2-T_X+J`lVj!7<q90xrTXW|Mrwt@S&|UMCJP7`W1#Vb~M^
z{5uS=L~J4pQiKP&Ee!weG5>`uhz%x*aqp1%LDhuGvngO+uO8ZLFa$u$14b>N+HMhC
z#3t|b7qt}-7T^&Cf#;SU7h<b~|EEUZ;QuxTHn4gE+kk5g5P|(NgaCLCod+L>#0P^6
z8XZWK;O`(4gNOnB77{F&Fq=#XV;pGYFp9E<+`99CklW%B;BR*%tQb-QZ}eMefdmLb
z#06!8x=rAPPXLq=dKHA?52&nA-Ov&NeTM?fhP?x17~nX3E;tVsVd#ADTTBp%kr(J3
z=pO3<Cgyk0H6Xko?*hsNV+7;(CwwqeLgRyh3#~kYm~P0L@(5yhxGCfoSv$HR;uhT0
zSN&HCioiOz$>8`zctpTmwoni*$bZ!|n5Ke4SD0=PtPp(YCPG5tB7h6_a}d3t?*XK+
zQ9{iNeuqFeBkU8Q=7H26-DF7c9YSU!#OowOV~SxU;2aFhCT$Y@Yqx{p+$KfA@C#ir
z$W~y{gxen!7~&l$FvLHoLVr_fsPhb07OF71@-SDy@jq04&HmO2gvJ6xAZdoJ-4MZ@
zc`Hx^sJFd|Hb@kY5J;?Sr44ky|Bf~gJ%A-`M;lm)AS;Gw1BwG7ilGS9V}dF7mnehV
zt;L+swV*$6-T#d4Mrv*8rU>rL?QMgnfQSeW3jBO4o`3K6Aaz3H2&v<LR5nNvA@hS6
z3%v(DO$cWQV?m6WqM3*i*=TnE@R|Rx!u6mDqih)AL&sE@kPEGB0&5`^4B=*b-I;gY
z4pf8?4^WnEK>d67iUxI~w!yAs8{lBFZUGLE>t7{eBdCHHhp=Y9NDNGnmTmE$NXRhP
zt?gfBpPvs_flUUCK=B|@+eGE?4c9LTCwu=>=z+loFa|@s{{<V&Z#QQ&*KtA19EME*
z7Z`<2oI&oav$72?0wMxDDA4=aVu&!E{|*;)U<#*jc3_C>{XyX0V1vYj6%fbdHge>j
zhKHdH+R~61%|}}r2C7XlgaC}uX4H1-4z{pKKtO~C2<SGb{k=QDg!2F~44dG<6LPHE
zBC}J=S{Ed=WnoZ*7_>#okvo-g*d{kwmVgkC0O%fVWzgSCIR=Xjmi0GSY;Q^HIILOH
zI$O}NVAuk|vZbqo+^HCEfkgnt$AbjovK5xU7h?=88zTmY8h|oTo)i{f=<~l)W}`9v
z6ON6v*dn+>I}}|0ErB+0!#qMF+t32eJ?u<aHqby2hyx@Nkf#POYjp?T!|@{8OyFn<
zI%jiF7voXT{WVNPv)25=m~YWqB82&RO-s<DWa~o!B5Ph7hGmnM2<=dTw*m!nQasSu
z<QAg9MfoeBHhSwn^*CU{08(K(y0G0qWP$*N0ERp_c!h#_ILP0W8Cg#rtsy9cQD0y{
zFbbP-*`da6#f6_A!Gi*$&RcQWxyGUiw5cP5iBzEaLv@C{4b<C0*BeR{z@&mgK+tph
zFR@u8+d7-jP;Ia^p)C?Dv_lEzhkv<Qf{{G@+hvi2b}qpfs5WZMe}d{iQ0RC51VAag
zQG?bggoX)2Av8=IBpC)}GoyAW$y;GU@bU8q0g7&A)XpUt0~3H|-CO@Bn0COZokNA8
z&>B=IjC?`Hw?(~CJ5_J^q8k~7;^*gq#-+AE1>f-RL<txe1}a!!AcF&t!G;GJ8Tbqf
z5`by_7-obGI&afB#y^>Zp$ZxfjCun&;L2}e4r-?wy#)?IA$}gjb_RxmZuoa_pq)9~
z?T4xlIc+HN1;=3+fF{9NB&cf&=`c74J`TNy3=Y5r!3aYMbzx!l{lU1_DT0OwV`~sZ
zYst3_c{S7y<$7(Z!bZjj3JLM>1Do5*n7@~6P<0Gr;2t`ZdxBuX7!vplLjul&VSpe5
zFhIw)=8^sc4TdggXfU<~L9<1kQ9G39t<ZqQK|D}rb}KZ{4gZckAl&=EgJuKcAQnO1
z5QJ867zKHLm~DT84?`t1d>C7V;M)>O!?Ul}>-z6q_qF*U8<_=GUu{1|0taX7m;7Vb
z9WV!i4FRgP4&VP1<J(B7E&43HLwy#2(cFZI5Rykkc$?@Nj%Rm<38+5?i|s}afX=K@
z0%LW56J@W<^cpopFouSXvV}39*P`sTG(8Bd(LHwbpezi}CIyE_Ti0v%2NG=oj9&!B
z!?&Fc!bMrX<R3|d25eK54cQ1JJCGtniVfKi1Q<q+!0Yx=^m@l*4IyESEdk@%I)M$I
z{<U7nKhzsG!Hq-#<>TQ4ixanK4}8P*OYW%NXd{9>7lss&5&d<Pyk7UU@Nb<BXec(=
z%+`5t@Z_}ha{mn!2$T@$k#B><&Q%!0fDNVtkJ$Wy0skJ^{SyTY1JEdJP}8jw@`QI7
z1Pg2-1V0kN!v|p9N(kuGbzpZy2taO(f~@=IKM-Q)P+%B<R*wxqE?n_VngCD7TQB#&
z6Jl-h!baQpSH}YD(fTEK1O-sbbtnJ?a3Bl$R48o${@`#0ld^%1W70Mdb9NNf{gW*l
z=&^M|B0Ti9UV*>Cgr84<2f5uC0xaR{m;56p8)yN|LtGEhpePrj#|F*ZL<uOG1$e-C
z{V&dE9V(bUi1q2xXy=0-O-9f1M66H3MLQpU^vKNC;X`<y-Z}(-Koz#+O-vIK<PqT8
z#^~U(tY2~`sBZK=5X)dh!RvZJ3`KD0&u|V0qtx4?zcIR7chYF9!x$m(NLyzpitI2N
zMr^?X0R%_{OpVwgKp<JTQvpIVY*StbVh?0tzzf42ferOu_r}mM3}#S-3tZWH_Y>X8
z*gl86j?J3KTBi^is*T3DCGr*7p;oU=7uiS~A(S8wa$DN$T&poqZFE`xBUCW$Aeuo&
z3c<N4-}+CeFf>{-M!pSN4g<4M%Rw18Qs56328Yrcp+X3Q9y+-7KUoEGJ{vE&BMaN0
zUmLY+CoIC8kLg1}dInqOU$F~ACp2W3U|E`B4WP}C?J%jam0kP@e$cPl+J`{!K{xz6
zQ35Q$xIYX8u<HX*t{daO7#`;Qe?s;*EL&^k_1Sueweep#SC7~-wG#m>YD4}0on>ot
zX*RM93DROB+vI`PZuobQ0WY`?*~SO}K!%x21LvX9$qq>8*YzBN5;_kYTaP6Ef?;bd
zya6tZjY16jXW|3Fw?nDl3YP#1$peiEY&FWimwF&J|Cez69lJJ#<_JEFeL`^kQ|=KP
z*4h1WIT}0}Y11U5f0O&Q8~z=;Hs*=IdrTh{o(c$gJ#?G}vk0AWgbnrolw}xNt?Ag>
z5D(fY|CtK`Va*PW66WVdqZAYn<Pq8?pg_Pk{5#lyXT-1!UaSU%=TOjq2^RiK*#3@f
z7<!>$+aUiiNSovz43O<i%eKJA4}uF6$N+CK&h_n(wytJEYZfN%TAwHg7zBv(8#*Y!
zfZ|O^qu>AmyoZ7X2tG)spezYS=g^SCUJ}hjIOz+H!^fcWz<W3@lixO8g=4a{*8Z(&
z=;fo(!ZHL5(q`Cp>H=U2Z)6)1fdIp`+rb8j#NV+Ef(`twGw%Nowl&862`&t+&@98)
zDg@US7Xa^WwO+SBc+4$u2?&D+GH*?~to6FquehVI3_=Uo;yPLwvTSgCu!KQ`gQ8Q&
zIYNJ!^EM4)Z;nzCo7l2N(&0tC>xKRI>aR`A+Q=3ZKOc|qHj6>lI;HEE{A2w=eK2(v
zM0aX7I)8X(1Y{u4cc23VPXC>TgzEk`dE0eZ)>yH=SaYrGjM%)i`1eOl*Lh9cx2$;v
z&9>1t{surnuuz+Sn=a7Wz5fcpji$Dh9B8#ci#@DR8wVbLXAyvbpcm@?9yde4t7+Fu
z^M?w;R<|RDz}T-}@{bJJ5K3-ZmJNlKkh}s5f%V{@lKVd}<u@K^reO2~!xT)&1ZVgW
z0+^4RnSx$~yb;J93iH}5rj0-%z??i37z5wp&)|Fi6_6X50#9lOHU;(m;4Td&n+Hh?
z1TN&~{u9v9c^DZ2+64U$6Kz5M5&pvrd2j4YBi0QNV%-*5hR220YxW1$!HTvKECG}-
zSfsX%E`$EyPQBQMh#a0b4JwEUC;t}>`d#NWX05Nh!Y~UH9<4EJEy47A>}YMN8e(n8
zY{MFMX!w3Z&HexueEp4J2?1t_fN*^)v!GMg@&BWVqQTn8EEp^ho5R8lu>fKSVA-Y#
z4+ywHeup*d3;7^IYzd+_uQ>giIzm}Fp>1ZNA$GnN6oIMZ1}6;;tve%3rV^?z%zntC
zc3%IrC~s{*12i|99GEBuz=2-+xj{^JxQ3H|ZQ9zVCjXbr8v>q+{C7<bgaYHg*W(dL
zJfLpb#+c-HQ?FHZy{XYv#YiYr)qhUhK<scK<~CIo1oIDtx9dK^mi2d41ucrHD%{#o
z>q5+i^bz`lLbX3ud1G^Kkvn)L;(CGpo!wiT6EKbk1x7r#STHOu>zDka1%tX^>Lv*4
z1Pz%(n+1UX*BK65@Lz;mzgrxwZSXos$k@@^hLO6>UUSQeOaz?VTd&3+kbyb0k?4ZZ
zLL4yfc`GtI*ETdV8?_D7%Y%bYD5ipJoqt1j<o8N!h|XJtY@3CWY&uR3u3!@$XDbH>
z7qH#OpBD6Ea05dZTk}~P)(-yO^+*BiJ0xfBZ0clv!NtJ|Iu0FC2b%{l@XAYr|KvD9
zBRE-`JE@zyX=-!JIGi^-u7f#G2Hx9<n;#4ua)Xec0R^(oU{4r+c)KL96|g1PWeH4b
z023TcE-0B>TUxm=AVmbA1Jcf>@cu{OWauMQ1n4t#73j0Fi^+LwQ)zoku=x;tK-<OK
z?&R9r<JQj300%v5Gq3?MpdoZVRA{gTvAF;P0<$m<+*Dak+uQ{lS+lMUJ1VW6v_>50
z=WDwe^MkAL3j#-qIlzFx40vq2!7=c%zc)C}EyefJk<S-CqdPZS)@#_N+S*%Cz!j_R
zc4y+)p;pv&k~>)Vo<0gV&qouKH60^`dDzCTicTPK-xh{QTI1LpqrKol<9hSjaL80G
z-xTGUsbloQ$)OY9bzD)qTvt9WT`B+m^=*dsVupe1*aPk1lekrTj~om<vVSJFeB#7+
z+NjCBVYVbE#`N|-dNG31`}Bn5#K(}(ez&amXNsJB1*Q$ItE~7p%f4#ojNrMlNO?kr
zSPD1&G|}N#mI<iqeb{>+m5sD=S~#Zf>0g!G%WKqjW#z;Sc`jvQ|Cdn1%Pp;(c;VXC
zo=!aPe(ZmAmfu*M@fMR=^sUhL>mwazH&W=;%O>1Z35i(4IaCM|jkre~l76|BM`=GO
zTj~~h9-rmC$5j_AO82Vf%HS{Dy+0OPBQ4K8k01Wo<mK_}vem(0thX<3VQJtLVo%_n
z!o46-A#*hks~InC{__2%Ba*u`iAMdf#jsOxf@C|jDx`K7vUaof5&z=2s=&6$X26?6
zbb&Hq_b2}J9A3pa@2jj>_SZ!fvDBr#BrEn{QQ(rB*G0H<Qa5=;eN7|(M1e((6*1fz
zK9qZ=XqPeWDPlef2Aog*a|gOU>NPj<UtQhxiz}w7c2e)Ek!80D^C$8OT&!+q(_Z{Z
z$z$3V&r`-7mZk0?T0U3dJd*S5^ml2aL_8O!J4bwWk*D+|^e}r;|L~ure@WB3TTn{D
z-u|!?Q~2RGl^<I_NO#uNN7L<@xJ19u8R`4YlDW(8){*1ob4f<B9k@@i?J7{FdtR4P
zOW=RjJvN`lw;xxZn1-&Vcf?wUV1ADlCAZvM<s7xr{bpOuGTtfX=)gXOsng4(^~J=k
zPx@_@5B#VYnfoC<E%bIW-jr;PP2cas!0MNXW2<x0#MaMQ+inge#WXjCe*sT--m5&q
z=tA^@Y?+4oDX+8R5W^iN>Sp@}@o0Bi?i;P+R=ZaBe5f&s>BQk4PQ2A}){6D<r^R2W
z+Eua3vZ+#2hgy>iT1-#*%H!aM-ZMXxC?j~7xus}?xHGNJu*^mL?ux2~*fhPu@#Z#<
z1P|5)Zqch{)oqjAUP?Dxg$Ejzj!Ydnk)UAZNj&t4)0jRkB%X11kN1SZDS9!R8}Emc
z4n9RJwCGO@d&S?>qN{OyP|;Q|*s5xOWG+;%uz22f{;RS1`(z5^*FOpgRSR*OUTS<U
zm^9!s&~y5bYO;@!SKI+%BaP7F75~n1D&s?EI&qR?kjXAiN2#(yQr8R4eWLrxfr^i>
zyb^c%e$j!JI%K6+Ksx2|Yji^|7bJZzCY)_vcyg=-+w@7T@})BRyZ6m#DTZGZIv3g&
zzUfKs5nEzhx$h#rEOkFdfY{Qou_SWd*@AEZ!AKvNus>>aKArk35vLpL0`v5OfCv5M
z8_SnC$|zSUSIJjNSNC}1mHU5uX`RHR;fU<%?Qs?#VqT$J$;;(m&YD(Quu5fayDPH0
zserKesy(*-;=#$qyH>2zLV*T9)WrAj)?RKNc=PMzlCbygE7F&oc-$lQIr{eK_O$m%
z^x#X@8`YF^8bnSU{}|hMFTkAV+JTRE<_T+Uj_nu3&wHuVBujy1Ntoa|LO?l%<QtZ{
z8TPTd%&mfKX-~5kT`AU-)85P1)Qu0mH<93};{T;y8$7Ag`|E_4m^YS`&+1L7+EoUI
z&&pBnLOab4J{o>GsQXiBo)Z=C8SNS78RHpK@FVBf?ur|?r<&?R8`<KMmIfMp)AEBq
zO05`2KU8fiJuF{)kG(P1BH!Gwfu?bZ_}dv?jy+`$h&;!rat{|;>^eC{TybrWarSD6
zBp%%z?DE5oSbmdSUOZ)V77G?pU*kU;Rn94YdSG{HR~c`W8}ACOBv#I<q~!J05RG%j
zhNO&Ils}5hn2Vytr41RMgbJp8KJ$QnDCe31wzCI!!8K39xX;`ZsuT1jaj2;yWpPH8
zA8Vv)${XniHD2kP=a@yl4*uEwCC2HF=|{PHR}GYC7FY}S%$6UrSUUZaDxe~yV{Y~3
z+{q>4Y0<dAm5{n?uN`iDpBW+RP`sstki>Z~ttyWH@diB$&1r1cxuon7lL_l3x+3h}
z{l(=tm-ioG$#UFXc7xnUu;lKyW2;0Do)OQ!j(m8qf6+K)+={+{m^k4||C34D5jJsE
z`e#YHzqkbtfAmR9L_Q>+Z%Lsv6OP5cUv1hc!r-8%)%p6PtR&Oir{wf|=S@t@XnExg
z9N8zkCB61{DJaZStuTLT9et`AtLe!THo$oebp`KG^}rzVQ}6iGCX1Jk3yCj&KiR>0
zoNtWOh25ssnWT2Lg2Sx30H+{+kJ!{n$|mg*cJa3<*WOPz+T+ECQcliGjCfP_@sJ-Y
zf4j768IRZZatT>h<=8LI=my&1>;(RhAM(#52$gwd>CJ``P}1k{dlaqk77%4bgSCXy
zNAeT>1Z)KyKh<8oPe(Z%Y=zWku)R|xO~uP>+x$8(`{(UJqMs@v5oehVcw#ueh9Y0H
zG;o-w2xtw39yYUCVOynG!CIwWIj~aq)Q$5J=aVmzIP*oZo>z;5zYbeCDnG`#^xS`-
z0X2A~K5ekPevcWi`<+L1?37>P5l<}X>RrrJ%~;GEM_m@=7Vb?WM*Ujn9$vXar$YR2
zvDQdpCQ{oWzRP<|YiZ`!9)@zmT8C5(pZ$egIl>6U6!IHNb!eh7e0uQ`nYbxQ@XM72
zruz0`le2W!ipKHqS;G#WI%e&H6I@AHy5~!AGg*acWU^$grX;;<m4~0PWnbt(?Lh`x
zdOz|#w&plQq1O+`<J&s%Ffydvl5Q&tjC(8I$bD5ZKj+O);m+HoqehA6LIo&%y~mEN
z22;0KPWA>|43XOVE-qARzm8i&yd3MG)UdkD?c!#;hw>JK$rV!r59vRKiLhSYU!R-R
z!n5+-3R|YNaYB9{MPoe5O<iyJ+ibqsK={pt7hMf^Nq>xGzB-l5c!G|Hlbe12Zd~v9
zk(t6<1ZUO#N-He#qK+$6CVa3)+T1&FB=QGMWqL`CRB2NT!A#1p&?~h;dyg+h%G9>v
zAHK}aYj#|!Sp8LZU8Z}}V|M8`_daH@o7;lNo1LrdzDmXTrSDKVD$gPMqnHmx)9B4#
zv~5cgeeWo5HJx*mtR@vz@@LGQ%<s_Cm`c46U%-sK+&dP`eYq{6e4NTPr`-L9=!ua0
zEF?+$F)rOt^c^AlsQ7P%`b4}K-^K3Aml@tBmCgKRQX^Sb$+0pb<+b)%=NAU4MRLzr
zPsCNd8D5M`3B6+Tio`-!6Tx)%4l0d2C}<96L3l*y`|QtBY6toQ&Cko8UM#vY-|Aef
z-P1~^@{$toMcawpdbIiR$}+>LLlZ<~s%Lv@4=wICjP5CP^hM>ls?SxQ2)ijE(Yz;@
zxpMR}bsFwy_b69aG9QVk*8*FopZ;fuM3KuB9@-qMI;&&B6tk5+!l=~d9?lw*H0`c?
zBG(^q_XSTCFQ4NW{W-@Kd$O?CN9b*-lb`HQ(YHJS;SLl*ot-_8QG<;7z18)BZRT9H
znQf=)dfM6oM*WxUD)899&l^%I7tqt02@suBQ=o2&Cv5-J=9{Q%Bf|A^H@mL$M}@?Y
zp|)A})0&f>sJLTKzpXsuef#!w^y{!ayE__;nh#^&Wo$CmjJusy^;zfi;V=8-5nM-u
zo`t25h5dA8GK;@*Y!b(3RQ7Cd^P@B#0%x8;7hMPHux0_Jhc|~@EZYoo8<9Z|tqNJ?
z7pxlkyaHUYxevdJd|=-<yl1wz;n8JVmBXUTmL%tgBHCTq&o4@mKdFy!Yn*axJl!*H
z*Vz#n(;YHznezP0U5&^u=h&T{QNxTyl#Y&%$c2COwB55#GKlH-on*CqP~s(*xa*{u
zNQamN^Yokgn-Vr!ODO7KvyhgPgt68U)E1dMUKd}iJeofJvhDvP?4N=>>6*5E_}8|k
zZQItgZQHhO+qP}n-P5*hW7_67*Yn>0?JpwZJnF1m5o@D1sxm7hmhF*#zjwIvlwP+(
z(fd`wEPPq>Kr$7icESRfk|!EFM3~Jxn1P+-E;=ZXAqVaP00yRW*CB#u$JWl$7gIbH
z{G;KlAygUN`X!kR@>5a>^K!CZ5chHkOBxmQuev$MvOG7bC7*M&suBdH2MA2cKr*5<
zrp6W;jw{AFWOQ`vxwAOPV-M0C5G35sjS)kAU!eX3QZsRZfCu#P$l#F>v>AC{Ro84w
zbJ+FocXAlIGuiR=$4KSqlM|^~amXwB&A;AjZ51;Np96G%J9xX8hpn5S@XrEZ3<_#^
z6|ciE3>odl5d7kWG8Q%=HW}I-8Yk(Wqm7w-lq(yd2z&(SX?NBj6#Oi8F=^pEbO_+z
z1$pM8gE|)lQmnT)wr_HJ8|)4j5~k*u`qXaiwuaX^Hb(+ddq2r=$FF*)Q!;(M5N?kx
zwIP7R^D8#LUQ;<YNxdh#hqt>xgS*?NZt%c^dOPeaXP*JdE;sjqcqSc3&U7*!7SJyG
z>A?nt#v-*kzXXM<lg%(`e7+$?Y2-3yht58c5~q>X@x0FhS!Qo?+o{)spM~e1MRH3i
ze~T*kV*o}CCH!UmNdZ294<J#XSYV0-b~QKT{#5M<SdVttNZ>yJj^to_sQ$C_B{F|n
zfEG|J&{+JR5;yZlmE2O*dZHo#2tW(qZth9ul6-7EQPK)*Kh{5qh}#SsN);3^rf<$v
zetaw|&<jA5=Id7##|7Ric(F4;M3F6&?e~F|1<n@q0^kEU!1HIWj=wvMX1b}Cmim1_
zaD70EKEYjpU;(f|#Q=Dq{@?r<$0Pd@eF3qf8a2HB(*Q4m9`xG)Z5y~pA**Pi7>8y!
z0@ebw8V6W@u%kZA+P*eR^r*9F8b?Dh9iim_G8i}DTpMN>I7CsPL_iK83(yKQ7BF>Z
zkdoTM&8w}Ywk(W)&SA;FoI%+C01)yV&F)~hu^kf!b_Sjs1OYIey>P(ZbI5bWnk(Uz
z<3d1>8hpnM{rhTjzFW4J!7aL9zP)-=k!iAk?HTg?f$qr}nmxXycX~a+>7@*#pV?pL
z>}Ci%J+?Q3mmA*?#i^axpTL1XsizO?;k+_<o!s|W&dQSPpf@;pZ<jM5<qH}8LRl+^
z8I0h}0%`>=20R1f0OSj%f5+LI(g!opUE>=grT5{Ty<l9f4&xeq`2zQN|BJ!*ucPYh
z>3`2i5#R*`Z=VNSCA~uy(S_80Dk|)N4nU~E3syxCtb!<54vG&VKml|E7y(fEF#PbO
zH$vkd_9WbYdf+}E*!~~}1N);BfD-_X%}6?IQ5!>P!hbv=EpT^lA%n4Dfd5~FHsBxZ
z1oZA0`1FAMi<;ell^gy`H+4NTMVvPGbggU5eP8Y^>G?_SKgW1NN~Ei>+w36ZtV1BI
zO+K8cWES+nVE{<`C1r{n=p5+~ET#Q~G9t{?iIDx`!+oqV!DN6of<@$IyJM)8lRFbS
zo-6<tA3aFdus>^w*mf_HPzAQaFcq4g3Qz%nWd=6@Xrh7Cg5&IcvcN^1;j(dK;CqD)
z>(ePJs6725PXsH^RY7uVZdQF_wP+W_Fe8laO?N7I0fI#745hA8XI{O1T+s$S5=%;;
z_E(}RF(D=QN8-r_v!~Q|g7*sDR^sWhM?Mc#;qMpIOt+zxPC+|SgHb99aakFBG!Ljo
z;}C?wDFEYL0LHg4U~1_X+rafqlE5OggN3MUyCSPADmrqp0J@8GkGd+4whmxsSRcea
z9z%0Xj_0}Ofj&qeKbAWBx|eax5KB;|QFx?gqcoOCJmQidANAVS&1+lJy0%GyvK2t_
z7Hp8GYo17B(c$+6jcO16L?5)5zg8o1uO_@V8+%9$LL4DT20&f}+4~QN5^PNwY7t5|
ztm&#|wPG4t>^pO7J^=a&0kOwTtw#hJL**Xh5d6m=<zGMtd*$Dtlc-}K@`5iwa7KV%
z{OAC=9dd+5F1h%ZImmxiIgUr%CnQ^H*uTR#+1)co#=DFOrGAil{rqpTZhb&{>xP1{
zFuKQcFW@jfuqi+QTyXav0B`^s$Q4-pz*RTYY-`GALM1sQsXs43^GBu`N*@7Wu2GH~
zqMrEF0xB52l4LcfV$3bCDOU?<|FuWuUu6JNL!Jh#4PFnw=a|Y2V1TSg+xwN;1inY)
z9|iQTF=Ocu1E2$aMLK!}i9wAP<(oT$!204Z%A5ax#5aFr{?Gp-NQ|%O|Cm2N`+q)v
z9)aZ@GsZPPfUp~QPtv~%P;2`3|9`jquhoX{%lsd%vp)FuI-{>ufghJSKio&X(f7Kb
z|0QCd^dSDf#QE;bDyxY<KQ3Z92(U{ue=<@yZ~z73e?p812CP8vpNJAbgBJ4tC(-;U
zkir4~$vTK|!4JhFe#m!G^^d~Jze_&ouQ<V<|J<1$%KN{Bn8r`h-2W1d-(m&-OPKuM
zvj0m=yz9xS0ul3o-NG`gdOGs<JNlyns5Rbx`Sbdh04CLEI02`?kHFcZj%Yy6AddhV
zQ_cs#2?z~9eJs@%wG;8ITHpCSK$dUr9D?gB`hVmv%bWkt^OxbDJu?4~AUVFG|M`E+
zUz|Oo0pgMxOEPDiE6h6f_CE$t15_LD|9ibi0i`x%I{{|E&cHb0j%k3;z|VlxryNg!
zrtE-)P$_5)lDPsD$>lB0{vR(uC3B+x`TxjYk)-hdh)m(a^q>Dn;1XHU|2T;30-Pf&
zN)F|G;SV0L_6C>)QUz2Sn@9oP0ja<=Mx3XBY?wJ1d%Q^v&^fp{koxrFDUfu8dVoIR
zVV6pI^n5sQ48`1kQiKGCrI7!hh!R7y6!QNk(V{5k!U6vY=KogBg)?Cl@gE9_8ljj+
z1IH-jGfw=E&@7^u|M`Cm7@;WoALlSk{?E^0fMFFSgLi=QiPnzDu91=(w0XmHofxcP
zYZ=5@2lO=JJWmm=Vb;_OWg3*R^v6aF^oI9;Q-t{_!hVoKb`3&w2?gsMglr#>Rprm7
z%$-6zH;y9|eWQu~Fho00N4vm8dvHekAVt@sif+IX+xjPr>U$$$m~lq8VT|Ag&%fy>
z6Gg8`ok+mH^!#XFccALi_7m`v@`Lq5x=KRTN6P|RgPDVw1Hyq&KtO@K0lENoK;t^1
zAX$;3B^7}Z<QkB8n4aN28QOPnNLrIU8H|>OIytKIx$eb+&DFw_+j*+<xo4;IVwbav
zPA9rOmJS3fZ)#-i;<i)H^~t64scxB7pDg<mm(HR~=f<To>*{$S;>!WOJ&5urDa?(@
zeh!N;xyGv;8lK_42aUCUL0X9I7DKgAC6c$HdN%N^kGJ|2C<_}69mwNRJ;qCSIKB{3
zHU`gYg2CPIv9INN4)nQ714bb8<9c-{^Nad5*m8?9j0bP(*jsfb_iw7&r*6_#FGa(e
zQ-e(QtM$Q1mfRM@wI)HD2bx(^`iVl*$lM2Mq`Z6KM$Y5)Y%tRljTR5ko5V`gEWf(7
zt+F*7C2M$Uwlqq%FqABi$Z5Rc6QU3i3q@$j9>pqU>J-V2M73X}ikhNKVa1M~b^}D{
z6p0TkM;h7$EF|kzaG=ysmSR3#<0uTsrPkz0il((e&Qn>D+=^baVz`st6?La?V)dRg
z2gy@>sAbZ)<woC2x1`Up$ws<jmUuX;Vq?imbItJd-iomuG#zf5a#Vi`?LWiZRp{sh
zy6MpI1Kq9Y;Get{lLm2#Bd4~Oj_k!Gm;Y5quF-xAAQdPbV4fMfJb}zCmt^QJus4Dj
zUbdY>A`T~|+@7BCHaZKrEUZ{oWpW<@`Sj?av))%`g~_g~DTyl&(SwVHx60JNeZi)0
z(jhXk@)WFX6|6%;#!NS&6klAYE@e$3_XZpj;MH3^cAUE05=b%@m~7B3ip$Hq(u}Aj
zTBl0hVry>W%Pt2_qy>4_vc|P}P>P@AZ@HhmixXC;ODVKwM=#!HD%*NgtTS45P##<~
zHF8#(F0FaGW>i(ptZL!YYKUdajdG)fRmE83zIAbT`xMGvAufY|md%Ej{4`kZg4_x^
z+?~C?xGsin9@?q_XHwg(wk<rY%~O}#As2V%Gd=hhTCU%gk!iIU14ZAci;7R*7CV2P
zR(<+@x5T2&KFMvyuCz?u?DWcNGTOM;va}8NIcv_w&ZvyDnk96x%Gr83E+aU%M!KdJ
zH*>9i^50=;Zb?|w6g02MYvw4D7cDyiZTskKZ>E@A$~|;wbO)I)^*{O0HJDY(V3-?g
z<?A-<oo>L1{gB6#Z6z(dmz6pLnkg1gEDA;H?<^8>d-KOp*Xyd#b-M15JBWZ9W4<dO
zTl-&lX&1lyesm{z(>}5D{L08C()29tI`lXG@U>P9rG?T5^xc}2aR;I}N7Id)XnRUv
z4B$v@^d9uy_o~*;Zj&cU(VZ7$&<|8Z=6asJK?~vaq5wS{mx5!R@XkrG1)95spYZQ;
zM4cfPRBb~#tO}6xye3M~2VtcZ(0m8T^%6u`Kmu@2iPJ)y&|y>kAn-sVb|8tq*dfO^
zkrY=5ivw9zA@p<nBIB<OgCFe|P_7^`&vV-25Sdm9jNfPlTip<;{2fRA2#*qpmE9o;
zUsmmRvP0t`-@cuYsCrQf7N!At1SkQ%RcVCD?x+Qs=a4d)0dvOqf-U@2@FNO+-~~sQ
zkP`BJ=d8h*^up$yPz9|ikkj2@1sZvTEN*0iF#gwr%aFA1*n&Lqybu?8T}TBF`rcBu
zVWWZHs{DRcJA!9|XGSr21>fjMSf7A`mQ_M$sNa(&K9D-_Mjg=a7>>lwJdbWey1}-=
zpIQVrsu+_aHIUm5c!F8^UnhD5&S_``U8_XSvs}T~+Yxg<3~DbxJs$zzAeQNpJUwxc
zl8HOo>ZC!#LeR?e9mkPIpv0Jd(L$CTR~Vy6Ws(E<Lt_P3?HhQxv^aL@tUC-^ubl>|
z3_JdbaEEXxR7T69^B5>G2UK`D_l{n25=_p&Jl=Ygq58u4_GypQ_=hMhBtQwvV7Xrl
zAk6*3LWn82tg4wphl9toWO)W$4&`+7YjUU5U-PdRjYUr-1L1ImZz?!*Qi;_;pdEr~
zQnf8(L~2&b34_=vF%!>C$jVeYc9{b8HsQZu#7q~zi%J7Et%LQ0d{sr<gT6P^8X7t~
zE1}Eb4QbTIzIx?}c%fFMD=TUnHE6qSyLSy7z$Z)B#<$^{sO4As{l5O9LJe#nIu4s)
z6DZ<44q$9&D0~B5yDCSfB+C6=%u1qy0&dx<=;QYZc(JOhR_4?2(=kW!(|`R#fIohf
z(#)3acNjZwdr#mI{wdAWzFAD<eX{*2weEc+YBTqzEXg`irBU2;oCLE3c$^MZQY29z
zO15unS7yfyw_@9-uxp7>tz4x3iKOKsSZm2LnKzF^@SOw%tAF#Ba0<>KI>+D+tWZ$)
zh$xDrXP(1&5D%G+bAn5)A><m@*b0{U^+}&z#|3D`>*`gVX<ffEB&JJ8R?qxOSprK4
zC&Wvi&P#zl9Dz7Tpkp^Le$j#!o;2Fp)vB^822IOFWxCiq(~XUlY*X)ihs$VKZV1oM
zi)r1LW__vsJkS;E*cRWeGD_I8h?EqD%kpGTrv)`(<4%u7rXu;4-Xi;c%!lCzZtKuq
z)LlceT>3tE$XKd6dK;&U{aJi?CQ^-RN2#aCx9&dt;&9?{qpnDlRdo!7N<>DYnruUp
zi>DHHjudkaBM}mhxIz@X`cY0WrerbUcjRY4qOh}Pvy0HNPs(mS?01=-O`-)y4OL|f
zsyWRDQP=2xbjF44!WNpB)Wd1{xA<SZ%iajb9bg<76#HdVP1b{<NPqK1F2mwM?5fC7
z^L(&N7cmhP?VO?b9d7M3c{3#Hnu_UE;L;NA&XakTq3Z4)W-a*i7Tb~<H?w&{iN)-2
zActOzmZf8Jd76ss;k!<7*(%kzcveNJ>cL-8D)t8?3{b0WI5zvRv^lhY76Y|N{1|qK
zmPs^svY1K)bO}0$?gFVn9r%BfIEqV03VY91(4o;{K>_K(u}{Ot#e*d}@MHX9gP}C2
zvlowtnPD4-v1h9i1=8n<=`wFE+t9+TI;lL*t`hd^-e4?pLOyJ<zo|ZiGaAIW)x4qE
zW1O%UZy4Aa+BXhjK!dNty^@KwnNtg{L)8@#o$xKyT$|Zdps|Ws*Mav7N?}~$7Jte`
zmax=m%m81sm=g@LV7Z-#0>c?Iu!E1X_C}15VAD~YRs?%DUNW;MaUsr#a|Jv%b&hD`
zi>`zkZiFcVkO<7BTNm`X;55x|gEs0RUf=^waj%98;&;p9wP?ZE-a};m94Rtxib8c7
zRGPcGEEi`AcXJ5$5j3gW!XayQfNwQdMq$(CT~j_h|1?|%wn*81l%Mt%512(Ruc(4n
zJ<emJ?=W(wi~oL(^LX&A`!KqMgELjoW7D{mg_b4bdvK48VE_!st7CLq%?$tLyKi@S
zH};b9YHY47Zr(Dbci@tld2Yqm*=pTVDGw{GH1!ez+m6Z)dG*q#Pd%W{eKGXz!^vXE
ziOFX!K-&Oolvy(+!HZaxqLQGsAgL)%;>@lcBx1+u^pV+!AVRPJGy}NE7~hx^8R;2a
zuGv@=K24l(ui0v3Etous=i3!5EkpQWM`Aq5amV4;JYl<pVEN1({y0?VG6zPHDA3<W
zDt0Uuh)UKmm0l@6Q$i%)PfJ!ihwfuou*CQ$v%JTjp&A*ctwDGR&~Z(OGVJ)usA?-B
zK{5S8nc2{lj~+j&ZeSd#+_#3T*6<Rwy)LY43S~X1J`=Wis7sax53mQG|1bfcITH&+
zVhINDgettgUj}3iCFjrv9x;%_upp8|p&24F@CIV7NpcqWkL%&vCutj?G%cu4MeSu@
zk;1L+E;fJuwvgmt(Szk<4F*v@iQN?%s&c${D{pJ)q0;3wImu)_=aY|+0`f~q>scN0
zoK40|z||qQh*vCGF?aC{vR{GD>Ckpv>CEX3Or2Hf*u0Y0h+)VvEmMe>&b)f?2uYtK
zw?=gz*jN7)cP$+<;97N#-R}^%!KnHf7P|h(<WZr9>+@}vk!+oeCfA$dgLdQeLJ33*
zMC-ufSoMdVw<~$bB`3arS%P@N&)jM0HS=4&E4U0AjC=Ya*d24J<J5IRT1<bde+oZz
zLjNiF>KT+9AH65On0?C2M49}Hj>b#nrTvtCvf4=w8woQe`3C(I_lTaEx_N}AP-P$4
zEt((r3zh-MW1f(syPIDYFo_-yHtXg87d$!J5&Z}y00*b2|A;`P=C)w6&fyKVvN!@<
zl`K+O0%FggpOdV=XN~Ces~3<1ya&Eh3a|j`);HNm>w6D<e8p`uo11Pkw(Y`oV!yW1
zd5_w3?fZ9{Ci-2|<+tO|6TXhe(;97?kMG~N2k=n(ORrA{_4AgDxYtd6-@&tTmdpG*
zo5_!Wpy9mCSoK&?URquY&T}<tS}MK@#u|oNrkeU%8qSIotLC*O(@d2uqxYy|{XM72
zGN6#ff<>Z?tt<QWW-bBJ_IfMOC~lv#O2se8H`g+PR4QfSb{$2e4w*-bqo!?TU&z=$
z{vYvK&K(Ht5u2Edi<m5M!3@wILJf2L;Ru`)KgpZHK~4N&#jDSuX1JzGX*hhaWGCwM
z+g<=^9{FYdQ$=}6E-ghF5L7sA<%GceS;^x8U8*FfK-5+x2MT9XEOHZ4I!Nt#v0;Wl
zlo$2-b{veV>M_f@bf@i{&0KdAb6M+xK5NOFk;hdryNw8tJo@%1tz)^??X?|q_NOkx
zzVAEKHqH=@7?Z`)Y^QG-{2xrOZu@Ql9){f)C5cF~eM-eb=};q7bycIPyH%3O#C_wp
z<S~(Vt4FGg)r%gvx5!Vp8}9p|`#P&+J_01#YqlazRkrc4+v$?_W@|-lD?=*Ui{}wA
zm$Xdr3qn?fD5(htGfp~s`WEqo%65|w3B>J4#V2{3(EuBl{8RM5C~2?tapyv7xx8jJ
z1ECmNupyv}CkpPUj9_K<(z3j1n`KQS6`}|)rfrvN`b?an<U0i73B&b0aJE?LXTdMg
z0itp6wYb>YQo~zxo-oD`%7&r{OGfJU$Mq@u`_@Y4+EQw5s;_|&>Qp8f&taq}O`_&R
zcz}lVaAvS9RCv}7(y2-K>*o6sGOE*z7O#^czrjd3&$^2%zS9{jH;WoldF}`Fh1|BL
z(2M1&I-TF^DlO$-A+72b=dCbxKT#!(g>?B<b@rjqpjC(SGUvn6y3d<sC}}7ee>$l+
zT8kIGIzX6sm<n~{Gdv<9ZhtgP0~P8NV5mx<8l2(;N(3$IxJpl!;1_*nPg>-jf2Ue=
zXpx+t0^WvLowv?U?_eX}N|Tt$)s&Ye%*;&mPn_ZdUIJO%ikP}JDwB~?Bx{aym3m7*
z)!%9&Ul0W@p&$z=?ktOd?9LwMPEE>=%DOZB=?E%d#}N;q!$C<}$YvB>!`n%AP7@`U
z2uTYOESa>bTLYVv2hO?2k(JwLs;C*~h@o#pdFLj<T_Va?+$pLw;sy1+$tXKf?vsJ>
z74^Z2Y?R4SXB<(Ml;8|0`Pu4dO*ieZTX0)UtRrdJtS8l)I0sM7hDA8M>Miu8xgb-?
zQ!sDMs&PSOGqYEhXD>)%`lUk+`YEJYT^~{so0_MnCzK1P4hKr8AiEv&AkrwMep6hE
zcHk|ssay$`s~5ppNPT)Yke!KX;?7XJ{2L@dq~rJY&BzN<EPZS$Np2I!EfTOUo{FqS
z6NVG4`r-D3ADta@>+U`*m~nHEcpn>ey0PO~$xYt)j5g{38(Kwxv+KF64Ko>W?rvoI
z+7H+*lS@uf%~1#`!_&@_)M0i%&3Rk^n7_d9LBKm7P*16^7tFK%;tEp@cdn=}PI@Gn
z?043A$u{XT`OD^b68QE<<Wx>iD6fBCA(12}n7C`4=#PL^PA}WI0RjE0#d0G$!D=9+
z21|6^-Z?aOwQ3!y>3NeqnwY{4Lw?pC2M%%i8!HCh<@5$bk27cW_n$sC6vfeoTaebl
zfuQrM(X3vhcYTg|0<t{hHL8vy$E?p@B3otF3&N#FQV-s;=<n}yGkDar<kS#iRMh#V
z*=J4c8NEMhlznQ+s3*E{qdX1t$z8knHDlAe^<C34aUY`IgJ2(|gb*gAkl-!>aHSU-
zC6ZK<<!2Ka{3(^K74Q`tLC{s%Nn2w=r;2(Cj3~po6tP^EGrXVd^+P`vUQwDw5*Hx)
zhA%WiD=7~^^5p#%%q%z1V>6A6R$&y;oG`4H&H<k|=)3G5LZ?pXGi9;?I)BGUO8FnV
zSMaC*(v(ZL`fcP!uX9^Kxp_&^u(iL|KEjoy9fz9AjTh%W!hyTtPG?*(?$wo_0*?L;
zou77Kt_3Pn&_H3_;S+pf3ttP;6Cq-Ejhhya^sRp*dtpe|3?<tY9twiEi0o&Jg)iwV
zz2`TrVJhoSzH+DVRt-ql=s~`g8MsM{>WRlHpq5I@)10ooo2B*j+qy|>Gk3lpCz#Wy
zzV(RAeE$ln{rMx4xO~K`@R-~3m~?&~SL<7QE$g;vd{h!;*H0dKMp#<>#~ft|o?Ayl
zV7+3ngH(<4GJY(T8x6biPp+i)c{z_)$N8O?{eh;E8-kWqrTjpnvE!I1`g1iY%`3W;
zmc6FnHtqJD_r4MObn7VACZCnm2u>65yi=LZT$0|l<cBp`2|t@la3C|DW}2?u?UHGl
zQvYkBtR2UE4qj%w+lFTzbmpbtT8s#VKYrp8aVgT|L+x&tJMNQvGivAI<T%#k&GF47
zU%mI<tNM4uG4kk7BJ%wYYfj_m;zP`?Jh5F0@*-F&%oREp{bTjxPqOu$^)ugJk3T;(
zLQ2K)4p>h8F)2&86jf2w83?ocQ3#X>6yuB>__6w%O=RrWjHWeMk^R+<M&mq3WLaAn
zttC2=1mj0?L=wT`27^KMKrV$}1jqhKBsGNaQzVK;;>9EJ6dNer6y{q?4S{s4(Z->!
zuVv(z*N_UZk6!_=gm5byLIIPEE>{{;iG2Hv2<Z_T3z!F{V)ZsMGY!C^YX+UQ_2Esi
z%wX*B<O>@V6x}WH>?4Tj+OwUcVd=%Q^+Sq@!wlx3Uu2<SQuog*Kk{i{w_-EdBRx~b
z#2Ie<eP|>+$B3_DOgFF~reVJriUkrPG)_fk>_ds6C$MIgHVtUu8Nm<eIi9*-)Y@u%
zELyvq8@oupPD<+*Asp`eTYfZnh%dfw&c4vAd-+0VFEv#yDyZoxVcCo}@p=10uP>gX
zOzHGid(0Ksr_S9y>DOngs~^7YYG{%qp&SD>HR|zsF3LTj)HR6zG!99_(WZ}tMwq73
z%<k%&9<x9hn4;NA#mRd^^)<06Dtt`a&rEP-=FWPP5TcCYi_bgEI_$ciyC1n<xogw8
zRR|q%-m%^VExZutCF4bm@z61}YwsZ1MZyL!qJp65tD-V!t&ysLO{5^lZkt`|p&tKY
zecOL%JM=oWE9;sz5MzfJG)#C1K8z#^(a|LZ=Xbe`s#rdb^B}cLOB2!^xO~F9zo(>s
z=CaaO<II7Ffc8O+Qmqf_8VU#X)Ze9#h87En&R-+a=jc7IuE}m#wh!)<2p*DdVaTcq
z(9{{-Pbc#RDxI~cf>EfNeAB6#)WM~vbo!7I>XpyvS_`WBLQHla#N#MaKBldMYE`Rd
zf-L((#ixfE{cdnD+t?$0j9NP=UO$NXJUIbVuys6@YBo(jveHm(MnCe~OMhRqoVqR$
z9Le%cb&lY4!e~U(?p7}Yb9p5ja}=IXzvXxaXUbN~hqY<;hSR74H|uUMyUl*QwJZ0=
zJ6^qXyWuEcSgBR#=g<s%k+Sr|zoA`kZtZbG{k>1@+x~DE^_6@-%aiWhI_qODs2;%=
zI?;jshg>-}7tfVq80j~SM<5$XXy5=*$3?I-izPVD+J3#Tq|}}Nb9}0KMvQja92a$9
zKs7U&@=+@hOiN2={{~ilF^v~(7|ke+B@mOvNW6%tgRpB*M=t-Hi|ttLqxHVuU=M*+
ze|qe5A&EFqrP_$W-MS()8S_4;zMXb(xQ1$QqbM_5qtcqN1mixb;0lsu%gHROgW7s#
z-mbEavf@pRbX;zq8N!2Z3-hGE4CQ)~F5@y48#neKsmT0{SY3bJ+@Magwc1Q!7liQb
zcK&SD9gT!?JGAz2tpwe703x{6jB-qQTcWq$s`|D~B9=36^1T_`f!ptli!0k=JQ<0q
z<4I!Fd36&N)<Lh{%iG`s{Iz<S>sJ4z1uO*drW1kq@*n{GSpX`jArcd9oO01|!oA}F
zUX#=_omZaE7+u>W+@uOsqjrVp{u<Oe<hS&KVjC$^P6Pv6qsbE&*d^))%R|Exj8?GC
zAYOo&AbS4S(mGn+-Z~EGw1c`ihSAP+otGId@02bWE2Po*z?Ek#>FCHkyba0R7n~`I
zCJgvc-!0!s>U^qG&D`PSIjW9BDzhUdTv|_q*?_sDV+Cik@A`yBJ7HVxdy~w=I=kJA
zG+o>ZHI5QdlM}Vn&v2q!$7TWo-&eK(zp0^M@+d8q&nIAzOd@2qddrQ58Fj|9Oe7EC
z*oNV~5MJ7>Rq_#RM{50(S!U+5|2aAUyeMC(mJu3__#P8XkIe>{8!7gYjG3t;TbAMH
z2=b~uhb&1UhVVXni4+GpoIwyJal>lMekxc7J3dY|AvL`r;{;}hF4%(u(`6ulHpF=D
zW(D{ADeKArLWlj-y>1cS)#fIBaiDOi7JG8TwR8h+BC`HUb6=(36|F(8`9eYWTCpm3
z10p?>V(OzP3^J954icKEgC-o(b&pgU<WT&i==8yNg4vD>(aC@>DwH6tb`ah?*by9J
zcxcY#Iz@bL>eDh`!$}MhR&O^0CqCc!N$&(rIiS`>-uAX6&zt_s7)hzul!4*zL+?P{
zIgg9RH-;UNS7W#0C0l=ozMpCG;haLT01?dwo-8q-s+-u&+|3BHb}X_%!-$}9gvv-j
zYQ{v^$9roFlleqZU4`At6&LWds*{rNy549tuicEeDsC0yBx4}Jx~g2EI>S1QYF=9b
zkKV#LG&sm+R^q9f#ax>{e^NbkeV$uiuisgw$m7>ZUTdCnT`^<=H*8Q)S<tSivn`LK
zw#1IIx(_S_fZ&CL5j9ds*wj%)Gv#d(Csn6_L8nufS5c9mXIC9Yl|1hDcsNy48?^{=
zFNS}$9f@99dG{2;t^IH=U0PaRT4kAYE<aaK>b6*@0B3LtExWPX6hbTNaA!SG01F<D
zKVQEwCW}8$zAmK5JA&d1^lL5pNK`Nd#^vMvetI<s2%*^6wD*o@MEQsfoBh-Gy>DG^
z`#J-`K~u)`73m$EMD5tyC2`V(%n8LriO;y2?K<ihKPG~T^EkYX9F%0-Weh2g(q`1d
zrK_wdcZIO#p__D@x|$S7HNh+sN|4_goRcQtssTdT{_n?dY8W=dOWzCj^(kKAmQy(R
zdCf%eHhYQS`H0SW7_y~XJz=H80cRQYUT=FX#hiQzt+?Hg5A#K7auq7rp&z#}X9*I^
zeHkbHray{`RkCMB3U}>j;E2(adk9k<nPrS;kBJ}rS4Z^QTJ+(L5>QZ@=ki434JoSw
zJu9dB1UyojaValbjvnVg`PUBN!$&MzSC@=W(}L;0yG?=>bVx3lz**BphS#V|aS#ma
zQ3wWsImZH)U|c+cW%a^m=-`egIgSXdH-k1=j+TCCUVd4ANUj@cWZn)N#Y##^GtW9n
zGuQMhS)Zl(5U7`gkQhFAI84&^MJBWz3rsPs(n<%XQZ0CVE9JA#g&rbN%T`ZsCWT;<
zHLdvfg(`C0nelu+B#z$3xqBjqWv>+wXKRlTC%)Odfl@nvJ?n$kjlZjr|IX;0=#i+T
zq#8`$AneJTn1pH?n|YgaJRk`&P4NVjI!cjlmILvT`Bk1(+@nXjcIZ*;sy&7|mPB;Y
zxp90=wNXT<`fV-UoY$$}Xy`SJH&qx$nMn<on>7pSRN&<N&Lol0)GCRSD{YxZ1bQlo
zD{?P1T{zn4e18v38%u3c<N2ZI!FZH;k1!bn*9T<)f^4o8Nc~YG`hAUGZZ)=2WJ6LT
zk@^EcMn%-sq|!7KQ6cl|i=6`N!l`5Enr(<KoR<Q%lh_2RI{gA=*@VciLz7V@H+(cm
zpbCqH-bE30t+*1@X}(hsD(k2=>eQ#rJI|({&3M!LP^J~hTbik}CpSIJz5Mu~;0CG!
z;j+U}36e`c_LQFj$q+YKR7gxH192A}3lc7bE$kK12D#8iaBh(yQkj2oAG{#<Z;8C2
z6c5{yT@8K>pR!-IZfl+hhpKunM`CqaDaqlJ;^LC~m%J18A5&+3>yzK%F4JLq**oq%
zMVuMj?x!~-u+O2~C$2YVb)!#R;#jOfy4MEWM^^e$o>XO2jKX$Ua|1W^s3tz=Tm%?}
zb{;~C*D1>FWk9mmJ#c!9;A|WIGHO80_4AQzn)9N0bE0_+ek27X{leUby+!bf#9r8{
zn@lx9x?9_Vt<A-fsj`zhS|y`pJKd=H`M!E;GcSL+noN40iAri2%HcYduZfh8RH<+>
z1BtYYozWazbDAKVY9@DdnUi=g3B?yIR@M`H2_dO0_L5*rM<lUG*0FJwjCNGVa(d4I
z`FLJ-2<ifQo{E!3g&hDb?o+2J-H`M>4;ItiH;Ng_Jc$#WBu;V_jpc0N;w~Bog})ms
z55*%R&uZSjdI}5!g}#3Jo+ZgsZ)8oiW1SQF9v&X<lB;oxP!|p)*o8nzMWjByYzj!x
zEM|uq*eRT(6{A!<d43rmtk8v$-eJmB^kgZ*1+;UKrIL%vi{WO%-rEnIuQGS+DOdx?
zP@X#Tdp#S6xk(3Y!{kGw#N<@0!^;1fkh>iyN;mwZPw;01hH0NAbd;J$vz?WZ3}iU;
zN!0x_(^0<j+oqI|88mEW&10&z6sTX&&Zq<T<?6+ZXF_R45ZmY-ZFjy;Xv=KNc+0-1
zeEAzvJP~**%F7bCk;^)zyvU3_sx!LN?%g>%q&vPh{%WnGQ9ZGhttuYF48FzeUR!1_
zV<Xt`#FbcB@Z^;AnU?EO>l+*0srHJr0lj6U6I5HhOnMy<D(!@jQ6+ddcfx&Dq=qTA
zgOX}Xv!l>LzS(@Ur;<+ri3j=>daA$t8})b483aT~?x_aN6Y@?F<RK#>sEi6r_e^n&
zJomHFSA7JD{kZL(nz=WAkds3n_{??_ygwT!@yhyLWDQ))ZKj9P6j>V_pYQJ-wd-%>
z+6fYEvAwSv23q2HBl*p&vHkebB<qB^P~x2<Ayq{g7C7L#h4=!g+kW03Q^rFz7+jWA
zcm^m^ANn}n2)w%58fn)#z5zZ1X?-<Fp-yv$_VAUYY1hD%-x0>vvj1kBK+W934(PC?
zvBtdx>qf%;OC%5*Qhr*!mu_u2`G#0~K6Tc+E`m0KO5JF0xOi#a7@lhc77f&`+ox|K
zhHfTIa%+tX#U;tsTBXS>#h557(CQs+1p|_=C0>EQP(9ZzXTR_ahhvGtPHjF5zKaUu
ze%q~5y;#|onMRl<nP!>BiI&cv6(!qY*MQxbvjk45Gr47iO=(S2HceThNs>}f(25vn
zQzwTx6p!uA!?au%hKt2L;mytk9^dIAJkNdDlrppetd>M0Bh8<+5#?AuEDBbLAY0Vw
z{nx1ES4CYz+&s2a1m3dVccJP+cEht5@FCuOm<qe8KOe@D-bX{wpSXi__R)#_mimag
zvA%_btzf%|4cmznac#p{!puZ%7k4SPaCR`}>6Ylx&_dD0R4?dJR72^bf9Lnf$)lhB
z4J5saY`!dmxesq7Mv7=512w_rcM`mHCD9KCzNv;%b0PU{P<`r=R{(BiX)gmeyR+d;
z;y#WZ>2|Nar}U|td$_J;uarHzBjYse(Ytf%)EK0$W|-s@<&@<V=hUZk68#)nRWx!z
zar>f=QP>l-WP;6hLO)xh!_6UXM;-I?b#p~zCo}}EA=1v?y}zNx-d_<fQXUdp^>@BL
zp`~s{#4&4mPX+4kK4GfBK*hJ|pd}f@1<crIO1VOR6EuRmLft|27lcqpj416(poG~k
zN3gKl;_;+)sX*~N5Wc8XwpPEb-0a_&qYFP->B-i+FcDU@fn#<XNlBKs5a-C+HW(zf
zEDRDphcO$K2NXR?3X=wZk$PKUp(iebs^}<cOIP<Lt=4BlHTCU&15`aqu58W?jCIX*
zO?zS0ZH)$|6Lv**!h3DLod&cLf>Qk0{WL9JU06(Zbn2NKx!<)OZmR82C_Em5z+Qw~
zGw~a~JNM?p4MRNoyP<3zZ7RDLY0#(kCpsrc%>z6d>?BGK;@_GkkWFQen<5z-M%o0s
z*Iz<!V0O*E{r)VW{h0Cz5aDN$e~&pj9b<p58remW3#0zRZ~T4K#rKS#y8W%w@P$?q
zC+lJrnA;h)iEN10z})V0Qr&Jc&>cMP|CoZOtd1!n@UUtclHn-T&S_g(huC?d*zML%
zJkVI?vS6I0%uK)k&`Q>AnB<np!M#FC7h&UQL$#&cJl->2)F3{$WkT7EoFtK1E}wa2
z#@WyfFns<?-_;{#cXtl-8z2G*$uDe%f6CDEGu!p!eXvVBet_AsLH%W&3T-#M5~)1g
z0F7CRQA2?G=-{J-T!h+QNVH<N30z9lwwwy=JT~HGon^gQzHeScH7`0Xfy%Gpu|>8_
zW-SyOJZ);Ra6FQN@8sLfFtaZ>KIL4d;BvAnH;Eu|V~dQGsDBX8LO+1RN!2uL$fotl
zi!ZaRIzp3@!kCAV1Rdl617phZYeVv?zPhP8%E46myea%U5(DSH$sxS5p12iaaaVi?
zMs+|jI6h>nY0;R;ETvwzrZ5#(@u>ow|DjQfF}9e>?J~J%OT{XrctYX$A%og2$u6Mo
zhmdnhx2=5($^Ij4^czc+mi*#a6owU^w(HJpOd2mKn#@>OwnIp_6uzn<vwU|a<OgPb
zC_k?$?=Wm=5aTOW0dXV_+p37eYWF#`NmqA2{Pt-LeQb<w9et^>r*13$iS|x8GT3Q{
zG+=^o!`_}&*lS2*pWhDj9N2dcJP-c_j?f_}-&&rHz>??r2u?w21(7w+B;3%HC{h_x
zF(^^@;Fpuq5Z&Fy6PQF4C}k9AgW$wZygtUlwf07i6#DUkNQbioolc@unB%!ToldqC
z`su<qjzuWpG+W8Kz69E0$-`p*XrMNCBq_df^n8F;W55cq1Qx7?v;+*?8mdwMaK~`2
z{nIP4gvhS+>pdk8Mi3)DDB3$UDBmJ{Kk8gnJnl3W91caOKaixkyfg?qT%@_YI0(K;
zoMgoCUbun;2tJR7@<P8%5D^xNX_EalMWKMfb2+d86kMdmZP04Y4?QoB)ld%wcFAa%
z8MP0CkhM|e-nlogJB8==y9WkjVN#k+^4HtK-rk1pl2i*e&PSh@Ug-vh!qDqi<l+wb
zi2>C}UxvNi$(pK|(T5p}>IdAlaqcPoMpAE(yTE$|vzpn6nGU|INlgv=BEGRs%rN2e
zW!flHIKntv0jImTWu@JvIq`6<N-eeKb>3aEnQ^H0K9zmCb_nfCE6_{V>(Ii`E2t`V
z^oGRp3s;*oaT*uB4bfs|HduE9yvpIlwlOl*==<p;NfwXpvxz?Y8&qYH60kSflE<a^
zHl**Bhh2oKBg$|K@#|3&lcrKD_T_nB%014X@ig;i$n#_t(F^iNj3QCPV9`V<(oF|1
z2MGx;uduTxB9=0T;OrOg`LrxpE!aQxS=Ri)TZ9?O;3*JSKS0Z9%jJ^2x*-`DjhqLS
zNZqmvF70qmg-&CMoLVRGoLzTZh{mT9TuT==q&0f*G8?}mqznI*kt&Idp@mt6T18v@
zEU2Un6tTVHwqj26+wM?>wW1uq*`s4>cz8M3cDOls;ZIFcagb-+k+I7m9IY9=F@zWH
zZq+#^euWK<p6AFRidxA$7H9SJGK9}+r_6q{g=E};wE{mwV@1bU`w}5h<=UTrS8Khj
zTfML*Io1`7^{!Y5Cg7>^Dr!<^HJIK4*SQ_j%DK^O-eH&o*4EnBCvJDOX>6&n*W_sY
zeb9N_t23SPK2p`3x(UlrCfzJ+CAT_gaiS8kZEG3h>p870*!9XQ$bODyL^QYV>*dj4
zn!SKqMQ2xy(#;y}(jPd!6unB?OdMx>hdK4h_&MOXW-Ar|qad{C;Gybpi4&kTXJqgf
zQ_Lbe-r9U_+TI+^2+P{0&)qv@lY4YK?C#4tBF0I3@Qy=2)!D<~fkIPmpoz>j-=sS-
zPIDbL4sa@Ya3nW#0nY)oUNjo&CwkN4|H^6`uDNDA^n_{khtp5+R?ZTwI!HzGo^KK_
zRkVch72=8qDAmI@V~|afq%=sa(O9E$?29bKYWIsnC_K0DEE|NaSD8}DTCT^W-s;=E
zez*<ZvkQ|ae0|Jzhi&|Lcht1ER%@W~yhSadkD(7Y$0RIJe7U{c%ockjNykl{;dx?z
zclF(Ru58CHVNFB6(N`>l(})r;q(4~(OXJ}TgW9Q3di1QAE0>=mWtC^Ek}ASdJTF`}
zr*^sRKgeGPV*8-X_2=gbye#atUHwT+!tKg+dr#u<%R+k&X=qLT);A5h(wysl%uoNo
zjW8efP~%cdgMVN>Ms3+rInP<S;CGMgXJ;kB+RWQ@qncCSkhhK^49p$-gga70!Hf^T
zPFu1`RjsKmPg#wikAGOJ`#bA}_9uJMuFL|}kzcbynbVu$ij?9dNr3QUGuN7A)CreT
zXf;I<?rtOSJ)iOjdORpMUj?K!OoKewp<oJ0)K(Vu5V!>_bsP|&q<|u-tB4}%A*OQe
z#M7z?`5PsG)+!K;)#Rp|`bgF4TE{UE!RPavRgTC0=&LHv^GvQMqIc&#_u)Wlw&sR#
z_w(uLQ3rj0kJ#^v=UOl6`=KaKZ<FaEQSav|!ipkLtQ*OcKd^;XXg83tU_cUrs+n6V
zr(13ur_Hm9C$`VI#rDLWFRWwxRqKdQWayjexl-Y#*v(JhApQt+2#n-!tbZQ5=<Rmm
z%0}e^E#)=6uHF>t%}7=Pu5d|(94`TWqFw5PkAL`<Mywt|Reanx^J3xz`D@R2dfvn0
zvuPY%CH8{N${k})@#UfemzX=d?19!j{ec<o&Gc7wq~|HZkZW1p-e`rCJO)1g6)rc<
z%)6?!tnT^IUju6;!M*r@BaEmk_B$<s5EVf+ofDwkB2zsXMd)tjW=B&s7oU^5-Ci~~
zQoFHba(Epc&&f<bTj9;#FSP8{7e5iJy1H_7<2!u3c;aP0uPgH+Dl#QXnJy=jb-j*<
zutmx;osM`>Q%HXv)E?RfVmm{6V{j5D`b)*r4de>KHBA(Vn>0;I9pL^nXd12Pqs~^<
z4_42|#K$B8RqVb{Edd{Vyb^kvl6~Zftzs`p^-tgu`fV8GIIxC?9`@vGVaYG-<JfUb
z(Zw0Pb1S?{D(CsJOA<ep6_&|0^crS=nE=XRyEC@*NZC?5EoI+2`j$8*v4*Lbh<iHf
zx6oxfCBlOvv4(o@1>Fmk2uOdDx^P3<`y}`_tT(JlsSNjy1R(D0TlaiUK4>AvAxd9r
zZov46^U`@+@t~j)4!p*DP9SIyKyTp2WxQm(YKqSM&;6e$xQw}sr}K?U>#DI>l-odM
ziNE!6;5vE`QOM@vkx5FK4Z!Oay_#GkwvvZbD{C*+GYwK*jTaZ-5DQipL#2f{6`>J+
zNe8+>T`;+5v=MOGs$fEaTS>^&$4DdOT4kGkG`zV^`hJpm3_Vu9#ig!R_rYAl`2;bG
zMnO+TP*EUo)@NY^waW9<!nYh+6okAoRrC3aO+(NWJpzZ%LJNgJKuUyYSg5Agci_4>
z{Of1haRVTL_z=?Pq)UabII4s|i{_iNetT+07$c;9^Aog({l5RgRw&I*EI^OJ=iH|F
zaE$&wqg!2;b<-liD843YSvG9|&X+e2#z|IIg(0EEA*`M=ZcdjLW&RMk7pMsCooCMg
z8TchNHnEN<7CB8eg_!`Q(Gd@p0mjUj6#>n%7LvH<ijG>bOyxm=K>}K3(={G8CeE8I
z4CPV)^ep&;$Q6q6SSI-R^=&#9Ppqu?S*G)<y0#DRSz}uNa%*5b`}W*KHgAx+8~-!S
z{P4sKYSx&o7v{*8&s+gj_njw_SV=L7;!mjr3sU+kEw}ytSK1fGxM|p8)Osy587*-J
z`vABL`7|q{`kDa=un8~ZS`-wq*KVC0`1vv*iAUlJQM&mF!fSqGpy|pl*~dbEI=5E3
zLkSHVW9_FD$J7ENfHJJ60|u-Vr}e~Fz;ME#6`QEzn+R;3C3{4gbLt`scm4fD8*9XJ
z!ho7PU}fRRb=u7@Ad@?=f8B_-^k;bxv@Uhaj!iA=VHN9shL%s`D=956S3ApkcQF^X
zoy)Aw&$isElqc2NFQc<5_Z6;}%7=M9$;CoN+5PW1`fc?i{8nNYl$PdX9Q(Y|h<AKy
z9+QPf4$3QEq_}|5ib2XjbNEsP7|8Cd-9)7LczCVY1@Du;r}%VL&Ppsq1yw=c#FyJJ
z$qcWH3ebp$RHRgF9XO`ON%j7><3wIsg1i63*ht|W!YH3Jd#Vzq#2iGv6}o?mz>i<_
zPdt`K+wk^<M!trz`ccQ0J++_S?Oi_C_3$EV)NQ!upWDuNnIW&t`TL>FqT^B4!(+{q
z0RwZlHZS)E8h_C->v8p!2?wg8ugO8xA{xMZt2_G|rE2vqA^u`S*Emh78Vq<k-gc$b
zdF=U-xY!e=`Qn)EZ#cW(H8P_=bkX=TI|U|L(O><@uo82zk8OsWVB=Tu?UeTKY3b`-
z^Nvk_n|qTFM>p(p-)`0XeBSm!(0fB*{2XkgiVLRj95_>ZSg8qLbej!_MOJ5QyMwyd
z)UyQWZ(b*R-0ydY+wUVJ8@QN;Yj66Bska?OUP4Z*cid5RzM=%0)b&>a+atf6B`fV@
zw9j>J^zhrs#voWrzU}i_?Va{mpQ^A#!aRXAgH%CN!PpDxf}oMrQ3UxR@osT%@gZ>_
zsa%rhv6CEdyJoc0)`+f`apxR_ENMo!AbGn%oN(|4^sbUWK+5%l&0V2uY%#e(WNl)Y
ze>>p~4Lu-NA~9WZMr)!<*4VPEGZL-vu@j6snl+dNXEM*wr-)P88rpf8JB4nZ0EH@g
zf~j>#NF>M3*?ulEi{8?_C)vwyujfTAN=^S8c=ijcKEm*6iU_%*Y*FC;B@0<cbYV2{
z5x<o2;#wKZkq#=zifnqt?z^9#-ldSvpLBmB{oN@cqdPr$cldgokCEeS$w=8%d>tA^
zXA6URMh#-3^uF8k-1cL=ZNJa!W;EIu^csVmiOofq;5}^;5Skd8W5w&|J&+?r?cWro
zAM-ul7ffW%lpr-Jc#ZYq{37@=n(|YgELWMW%h~5>u>7Xd2)tW-zj7~f%$~f9($RL(
zkg2n?+GFXXu2)+Q9XfQ}l5qb0JSO;4cnkeQ`Ykq@NB!f|Vc_#7Hz5(C=qN6m_@oa0
z={x(UXt}SG+&W)V;m2+ld8Kpn_xu<f-tW9#qkxh?X3V_=++`P(pDRv|+@4I@#Nrc=
zyPvWKJD}(ysuw=9=dbMb_0y}5o^f8LtZCCE8MbwaU73(%#dm;FB|mlZ99jUHFm{W4
zeAV9&Ng$C*T`$V;xzyHkkTVrw0i<pslx|=_;U#PV8j*PGpHpt;uJz{O5Be)kGgC7&
zcC(qcnU`0eKIC`r>w&EzP8HeA^$eKVzf&gm@cPCb)#3S~8VzvDhplWqWz^KpW+8=P
z5@t-`LAv-#*K!wjKtVt}WV=G!n(&Sf^J@WX$im3JrUs@WrYuDh@$7h<easIp2N+G#
zj@7qy4{`5pZ*gy|-!ERB7K!f|O~OnY_W&(Q`itC&&D1+dVbrPWy!<G69!*|42#R58
z6Cxo|+|r7z%Sp`kv&ttXQ~}YIf}yuWcJ(v!8~tWdJI2@t0Y&Hc&VzPhf)R!Ias|{%
z*|G>;pOkFfcL#BUnBQjrEWO!seMQPlH)s%+P`fgU)eWV+GUzbMi@zOdJGyPY`t^Ue
zoI<pJ_E_;hM`zvW@*XMzu-QJr__V56tyd^CL?>Q{yVSN8)pT`xV_{rQCtjsac@LxL
zrJuB6v&oFJYY7jV|KOxtSu-Vjw-g^>Q+V#^;={P!t_zX%RbEfW4VUSQ1vM7rSs`!2
z;O3P4vJ4!CXBz}U!K2QQxu~!aF9j!H+{4zNXe!)1{*qA~H!l1xaJP@AH%a<UM4y_T
zwERcjki^06U^y5bzMz6ka~r*cVnlicWzrKfDfcPtvrx}vBJS&}8ptWM{>o@nO>%@y
z;>>z7fygabBQ~)-MuScxX<xCIBn2&1HJQcR0=5f5zmSG%XwqQzf!o8B`iEl{7AQ}0
zwQ$-wU#F$lqCDW8B)MNo6U#+ITtK;Kp?pX>lFQYIlXaU(`{d8<``!K%BI79;5U*HH
z0Te%g1SN;8z<5-!C(UW1JREwu1&)BfQVAZ`V?^SJi{y<<Vn_ob!v4O5w7nTLEp>0<
zm$qi$q~ww3v0?|26`l$J<Te5l#dDatM%6M$(JDm~q=^jxi)rry8A*Tw^x6rDa*s<h
z@&Cm=uKV7(f0d9tXaPqRbSS{H`t{7(Y>F=H;3R5|%NQIkggfZW)SdfZzdpW4NlD6u
zTzJ81UaWj!I7I3gF^aGH%ab-INRCCOYGd|9?E^w>HI_cOyYwgL9Bp&^l<;K9FNyOB
zDMP7-V)80p)hypDDWi6(atfVUi&@U3xdFC!_SyNF^by!M!E3-(o8$V+=-p?aU0Hot
z+f<9v8{SS@FKgTIqp_aT$>_QE@&Cu(TLwiEJbi;WEQ`b9GPt|DySu{zgS)#e?(Vwi
z;_kk<ySux)ANzmqeV)6BH{$NgeY=US>8k9UoXqU1Uqy6QXW?l^445Fpnaeh=E|5yN
z`K6g-Z5=EpGmKg#*N3calCiSb=X4E;N*V+R`T3lY!8c8fkXV}&Zp+q_&1UH|RR=Mv
z&ERR0;X%5Ja?OU<rNI$%+I!!dJ)I)N59cI$p#%Z0(T72t@VSsczYRHwfUnhmJ0-0m
zaeqeRNW&tl7WF(RZ;E@Zjo+vF>8TOBCmZRdSH*D8%%rIe6<ISMA6LgYM32T)QDKMq
z0E^&I7*$E>#TEW!g;s;9j9VAlW0;XB6KqBz6v@zW6=@wgW*xxg=p0NqB1(;m6_;{5
z&_S%%@Cb9uJ{OE>^4tT*9`cG@yfcv6bv|l+n(Pg8wKMvQ<18&zVF7_jnYq^q1z$*$
z(~`GrOkIm!V#GNjU_p8LEb}d`{_D8;Kaacm$=D!Ru*YygaVjA7=vfR`rP8!26|A;0
znRSU#E3;HAA2W~4JOFoERy%6Vxw`?1+ET$AKMixf*m403a$@1bwVG=e)ono537+fM
zW#*yHX|ZWpKu|_!*LOr8K|PNZ4@~2DFW@c_DI_Xu=;a^XXtZ-P)-*z&M6s@v_7EcZ
zv>d6@WRc_|o5nvT#3`%bibgEFVW%=gw0XG@br()*gU$E$NXs<ganQpxnS0;VkzFH=
zn)QLRps{mokw=mw@s}7(GbTX|ep1H?1x1}weiZ)Q+E>*-){=gs2h19>YRjtStIEne
zs{ES1Vf$LIqijw*ZI?LRh`D2q>o73GVPGx0`-e7F4IpKHgIH~6);yYAUUho`0N;iI
z5GK5;6Vu-!Sp%rwn?THi3EKCrv(F@amKRP)9~bBdy(4Jp^*4Pt@<b-P^zGlURMEhT
zU=Wj;U9I%r)9CpdC@JDM&U<PatExWliVyXjL7!&z$ar}qJ(_c0`hE7cc_Kri3#@7w
zTuv&$d9%*5v*l)Z0Nx4ZQs>nyw6t&KcI~+{&9c8{&r#>}nv^BlP=BRQO4IU+LWtt8
z-N1ym@4+XaQ)&eAT4mn`^2Q%>#@JA=q<1yEFZ}H|+IZ7Fcm3fL>XZ5@_=*S{lRtP{
z<-T!km(r-O*Bqx~=lQxGblI?}@Amt>@Yl8b<ENVsb^F?fh2ZRz-m>{jE&?%(csi<s
zpUx0f%}HXW{VLf(@hO5@xXU|cR1=*ON8__qmNK}KJ&qTvP^Y&Iw+*yMMKW0KW%N1q
z!;tg6mlAVV(i?uy_BD)+N~(Hy5JO8jAkGpNr6m^x1C7VV!C%{K64jEEK5Nt67XJ`b
z&5nM$ckLXK_w-xb;ofvxL}gwR1;hEC(WMkw=6q9uQZ9)n2z+f`g4*HeyiiLzvHB0K
z^9;s1n1;D|UAj_Ugh|ru^K5aR-E36+tX|Ydng^>Q^6V>~%jrR0Q3tR}KjEwp9_ctP
z<uO&*aj+Xi#q#h-iTkW8v%MCW03zH%F(vVWg^3|dA88^7GPoJ^cp*TxOarmMQ6W}c
z1WhhuV=YHtI884sp8R>KDR$2pcp|ki@Q;kpMT@|lt=}}29%27-zif87ihL$!Q&PXd
z$cw#d@LP;ASS+nI3ru;aaA8UH_CkdqVy=}eACnEJJYYEYSF5H*N|XwUCji<-ZXW#F
z!xEUAo+9C&d!+#Fiy-t=AfPZ*tObbN1mp8nazpzG;!Uj(b45%6i;s%<l>?1a9M&T!
zXaH8Dxtwlu@`|B?plIn^B4=-~0!ajpQInO(k{mOm3S(wsMMxKTe8Ze7-W#ur(MME|
zg)6y4#!4HKhR#(=N9o%hud+)(5w|RGY!BhUVQoG6V!`W93U7HthvylgA9De{>{9t1
zXQTwv{1(my{sq?)wakQ27hbT2#LoJP>|tPw9SqwAO>RRF)&&h>2(Lh6aAU$Jg*Oo2
zAP3m6^|Wl*(fcx+E7oVdpmq`6{jlW=fe7IfoekHH#c~4-4_tO}@zd?AG$0T{thLQ=
z(iDz72eSW`J+nUh1kir(Xz7_t+mH7TcSdMS?1<II)`_C4tAy2yscgCsYg_Kh<*y?E
zWW>}#8*x~in;cfx{TiIM{RPEm1%uODRLyCH>^@D$B~mO{uWGH@`L!mzbb|0TR+t}%
zvlEg@+=%Sc$G3xNf1<e{)k>7I`zK)~(mDLBwzjwsm|9a?1PRt-avqYPK^CV{fbo)2
zw(g_3HoRGo9<K{NFiV<kb?8`Hk_E_!Rd4y}XH=n4EbY*OD?$O^<424MhvfcU95fIw
zbbp9|R6pcSvT3xCyo)TY`T${fonmN>(jK(Z1zAg0ZHAUxb8MkpK=P*+Mz_vS<*f$4
z@bYGE1S_JhtkA&xrwoyl(jAQbrL&i??fZnk-}1QNV;tu)@_~O^ik0So^sN1ul(QP*
zf<jEJ=vjsS%C_f@At2+o?Mli8ZXmc51qXRn%Tg<z8vW*NnKHL<Y2tUiG~))}Ri|_3
z^^C=TV=6PPPjP6%YHCs3rp{I20-At@WYE=Pn2@wGMP#j1{t4p%)HdFgvnO8N!oTDe
zk7(iZJ;Xr636IAtETG57;+sWDT{0hZW={iXYIWBXqtVI*I+lr&Wk3B$LR~}o#}RWa
zf2tYi-naUl>KA@h%Q(nqg-cLxgky)F8FCVI#jJ;hj&#M}zG+-R&9!fJ*~mms3jsC#
ze>jp;n}TAL6$wWL5Lg#CPGeJKtc<yy66HULV)?BtM6n#L7VD|Inz5ke#|rA2k*&}-
ze9JbISw|^Q{fiMH_Wjo&Aq;*T=7o%5GV|H!E9Pdoo+{y9-vnd3I8!Yo_z8_&M{^23
z0-A{OZ={pKce^21j6N&YQDBwX^@JEC7D$bF?Nv}UTa|IWIz*6W3c+78NKku2x0^i%
z4&)^CQX$FjHeRW3{QVrqmC7Nk#H3EL9ClG+-%3+jQSSSU=LdDllrA@#uRmVdZPwoV
ze=wUym8Wt#Lh7-bKWMMnmofHaUTO0%mQDL~c}>4(Y=OCzY%De7@U^_QY7!II4YhQ2
zno2-rvPC@e3XdGtYFgB>Uv&Bk@BWHIjvdi9yVDZ!KB8cBWk5;w-Fk!!9w<5tJ?}r9
zwuKa1++}R`q(fCZsGQX~T+`6o6tDj-K^Hy&|9tB+aCy0)Nt#e-*1&aeLSyCmC(GP+
za_oE|P-v^(+nPXxpa=Aj@YHM+^R}d;qr>K^9y}$+-w|E4)S?FF><2W5IC5Hb38-xL
z5fV8U1v#WU2&6q`I9!y0Y~l}Y$fb6(BUQE;bGP5fK2Q?TUX^7z=1;b#XG}Ls9rt<P
z+1q`ts&Gsniokzcl{zeUX7wH(sJS|+uBe@8p*Q+oIId1QYiDgZ?I*DF-Y;d;r9!`U
zxgP%r5rdlLUFH*?GQ;c4^^i?nEEzerf-I{$tVf8XL3S#Va(U<;y5<hC@z3rIG+Xiv
z3tsnsM2#TE4`(+0Em}WaV2|oZ27}I{S396}bR-ZX@0c=t^ZI!=n>{Z}W($@XI%sr{
zX#6W6t~?~hl>14eF+V(b3Pvkpjs~`;@tX%?ud!gunBQv1QqSwI=FG@1(XoDEJj228
zXd}E6gyBI|ZiHQG#lUt0qN2toX6%T#XpX-$f@~5PtEMhL3<v{z1TjPsVj|J$<Rck=
zyJ7PCZ3;Mx4a%&uyU?lUv&jAA4j5IH(=3XU>ragyhO(Ej_ZV(SSnve$tF8w|kE#zO
zQSXi<U7M@3@o0Vi#q(qfiQA#~c<w5pW1ZTgd-)~`(fKG5P!ZfuFqh3g4zB%5*&Mzw
zr<bTJ8lZYYDO3S$yioc~9<l*FPpsYS-ke&qZXR`D_iXYGaSX}T?;cwiW20d}WX3Q<
z$Dw07eYK)Y7|Bw?DmNOd^&UEP^m|-InSnnR1L4~{?@+riO3!kiKzkVw8e3+g!HiFb
zuyyJ~Hf<cJk(SlM53WD+(8jGpSK?^6;LxO(5L9Px>H32e!3mM|b2nE$wv^M~LH+!7
zchc(<qwDE|dG{&LRByBK{(iB^#xv_#<@|hw-37PDJd>|A{~>BcKc?OF=4$&<P5_-X
zjdzo*jy#;HS=M1Q?#<_yV#u6iQA64Ru-n7qEwASXHKObIr!5UJN+!WW2s1@?)IhD`
z$fwMJO>k?3T{7G!niCKp)0eZSe^eEM>hc1Qr2O-3Lnk<$g)!((WCz`Wnj;O&o!oS7
z0B<*YSH&Qd6*zd6$qSuCu~Ypwx6&?0MrDxPnx(s27EG8liegBHd}HA!01XCOWkt=F
zDjF48ss3rkJ`=8Q*E#2J3LtvxP2C<MD=DlnamWa+OIXmlK~pv^V0ZGpgZ1u`+vaK7
zh<&~8c;&O7+t+(V!+X~ggRWd>_I1n|V@z9kZ;fV)pIDyimz=}}7dX^Zk9lz(L@_4_
zJS^$}i=KX2BON$0pR8%aoG>`le43mPAqPi4p-ksJ+yo>gTIM7$OceUU`|9uzKHeb9
zV6J*Rm)XszHlOdOIL~0nGY|ds_h;ufimoX3y&fY1)oj&w#SYHM(s{=LV@1%taDq!s
zH3}N5CkAICSD{avB>~T8iX?bj-@B2RBXEt)xvpGtN=~gdfY6^t$yJx@wqI?%ZI1L%
zF(IF0pM=F-EN<>kWFJLawA<PaD}p|Hb~bJ<HmX;3+phs_e?8O{VCdmXeZqXqxuc_3
zH()w&W=^bAg4yz-8Z(4KrU)}80@a}C;B_zC$g1h;Ih|5$J%2V`w*40F6c^&Z#rs~<
zms<ZrI6^q*UKgdczj#+DPJz!!&rH-z*GyXiny{n8k=q<NxiULE2}cXZxGFRmgozD}
z%hiSH*Ul(Uqq%o);9ZHmgsni2poeDi24V=k{T8}hu8UsDp2!TxOI(<{pRyGNp#42Q
z#a3sPKoG*3_xw9Gd;sLe#&((}P6%eky=A<rbus3h9rFF-rvglH0ZAmn{NRm8s{MNV
z$nV)9t$1bOA7;gqXr!@!3<vJFU9c5D^#Vk)PE7<0-6H>Pi=i!`WfIg9swxq{1$FaU
z*IpxNQ&{cx-qaxO<5HlBv;Zc990|wV!%GrlNu)bBd{dusVB;@{%1ju<bs==p#(6W0
z9JUCDqPD3Yjr4XXD1wN3gx?smw}+oQGI^F{!(+92N?I5XMqgKcs)8gD47m;6j7FIT
zGwTEs0jc-UAh@jkGNHa(VgJn^h7$JRoQZDfsvtmbA!jIXnOmp+4dp8V&P+n>h{R!0
zC<)#vb|AoT(iq?Cp$9t7027eIM{%eCQKmS>wxiIO3)7uT+#p}_e#bQvDl|ofAPN`m
zS9|xGn676Eh+<d^+E^FBHfU!1qa%FFPdC<MDn`m}-X|`J97F^Kxfde=H8a$Mtj`bI
zi@X<qMtZ;8&Su*8hbis8_82>_lA_Zh;HNe(1N5b^%LW5P#AIH^&lbTB9<H{m(r#TF
zQIPkWGL@mg?u6U<m4LdTp6#9!cYY6=l!7TDbNuXb-o@O>VPOZRA0l=64U6_uYLSi3
zyRAC$p>ht)(~_-IRfR(Xbhy8+rm&r`I!T-*Pxp0m25~agi`iW8P!J$w4DVpX0K;}U
zz?xz%)d7MMOnoXNfn2^?t!b?W1WoaB%ZiM0Eo!%;28ls0WBtF{F8pHAD`5|y#@U##
zH2QG+_C9c34OOorx=!sTXdKj57!2hCVP&YhI^goS<LG!BY>ebgTBdo#$KxI|LyAtt
zae$YZA=T>Qn!H{Gb)Fg;yAsXc`2!G&Mj)Ir{=Ld7lMaEgLXo?EQC*YSx4*{MsbEa9
z>h2$U<Tt#}BVzPf=hWZ^*DKzSJAdfEEcmZhuHVC#Z+5<AoMd!teDn|?sI6aEtYlHs
zdhG?{H1T8YaQ8lZIC1e87uM(gQgvN#MdiLUgS7lB>haE?2`}=t)%obWBqp{1YH4aU
zw{jdTXad;?@yD&jVI)bn5|@F>Xkmh*r9G$}WiN^7>(NI?xSmQ!)IdWO7VG&7D9kYD
z(CAlmQ8|BH260GM5B~-waVksQAo6Oq&%rWlYLS>{0@pS^&nE3n^}36_-%7xv)t-0M
zmTH_{e4_V)th!7RJMfW$+I~ci{MTMWJIZ8X#-ECq#mj-hh>8lffgB~AJY)uLz?A(N
z;FM<Pag`S=>IM^8^8+gY=!y=1d01%q6W9397WcP47=}QqwJ@ooN|*i)1F@=E%lk++
zG=yNR3VGr_MS&k-MpYXG;y_VL3jG^Qiw|fuh^f0q#w^$hfxI|HxspQZtl1<;XWR30
zBjQi@-7Nv%PcW<Bd&aI6X^;Kr{#@qUGF>O<!^AQ3auaVii<QPE31KTyg4U^P@55E&
z*k<R($y8DzmCys@WK1^bam!rLpBBC&sPZ5#546KlG7M*gkWps}Rw*Fx{1=N8Fi+O+
zl~@_x>;s)EP2RyZzGrjXD2&kIJ`-c;@Oob_uoZ{<^GA8*Arg&9*5#i>#T#0`?VLFO
zmc7RNo0SBPCtoA)f@`XO<W_eHzB$ZiN#G?7{TzwWSy#2VtIXZTyKR<t6z~@n{d<9E
zM7A8F`?NHd^)(|A&)=+)(9(3Ak*K|egT@2Bar1uMiFb-&iGiSjAKfFNs-CJI5R2H>
zC7QtsI+4tK`Ka;5AgAKL`)ScGX}5l%$)O2D)^wu{q|!?csIf)KBfsWvO2QZZnBg*4
zSs^PSz2qqaQzE^;_THPd^YZiZ$oPSJdLsP_8a4{hG;>Zs^lbjgG1QLdMLq=a>MW75
z$XBLnzM1pdO_-^EBPRz}MUG<m4$*v?v@RRGC>)K#$yk#O*Li)?$6)0wq!m?uCX-c+
zA5X&!!lopqndi<NThdMvs|D;H&V8GuIQ@|^cCN(Uh}P5587dx#cI;BcTJ60|JK8Gk
zP205b7$7b80W_0Vm;Nr%P_VgQ3t9Qmw?gmiB4U4e;at}B!H?lpjCnBpi%CP4?ocQ`
zk&4{3Rm0Y7d18Cj7bBv$^!AeMX1sAGiKg;IZo*mP6}rp2KMTXU;KmAh+J+s)9lf_h
zDe%Zl&)9?g9NLg;R@bmt0DS5Yn}V2SE9U@5k}AGLQ%jS7;=nF#Qstzmb9c;J>{m|@
zrlPw5#<t+{PCg&~5m3*6i5^Ybe#*E6*4Cb{>nw!44$6V--PRz3CYA#xJ`Q2)ibBoa
z4R0ejX8W)@SSdZ0n(@detk`AP!JKzog$wi>wt|AURXht-QtP#Sa7i&q#WJ=Y?18!a
zeeuFNZPk=a9SJLY=slzHiXwO5Tl$KJ*&9r@Vl+=a^bj-lPd=VsZU@C?WVZ#tZ2zL%
z2XMiIPBO(!DfOt5PC2UTO22r`bs;@NN4PwzYZe}TXF-IA7L+n;TYB8&E&-{y;u$J>
z=)L3a8Kh(_5=AO?&0!15$2+x`m$DfU>?=8KuamALtFFG%H|*z>)O6a>T~jyMpKwE6
zBt>uW=3PQWU4Q2?@%fxXvYDz`dOr;Bx#1uVZ>MQ?h&B6mknnpRchqa3(p7m1a8E9R
z%#PROGAUvEomP795=Z@H!bJ07;JcL$tf3jzXyJZ{!KQ<0E|)@Hj@gm?Vib1v`bdR8
zv|b_`({O_63dbIsa2`yrMFk&Ew*taN#zdr*{agYql_?@rTLUI)`{A<VTD;~v!wR@@
zuiUvL1oN9NWNJF-xpdLUyrTWq`c1`UKDAC%uV9udL3LT2*jnhbu9D5z0QX{^4okfm
zGk5bYAq-s>fes5lE~K_0Ps!Rrz)!2V{8%-Ukg_WgKv6Ddl$EK}U_cr(mvSW*+7R}T
zJ|;Q8wgSlV`Yae*Kr(#)fg5}c>hYrPcV0ZV_*r0s=~Y|Q=Ri@{fMQXYTX$%$rnzoD
zq-swo6r2eAJY=;lXkv+3sEF*Vx#OhPF0t7y`lcT^sAR{7L+RqzG7XB@NQ^`KR}dK?
ze3`=67NRar0Z8ItyEh*Sl|Da&#OcMF7bW3k3gMS{Aj4HQ3GDC~C^IEQK$1b%RN#wx
z7K(#&NggL3=4#u7%j6TFZ_8m<9iQAoWF8erO0<IVw1@19)+pOh;zFTBXGY7HUXYIr
zoDhXBHgckjyXQ<00m%7@W7@T<%Au$Bo>rCCfzCl+3XYV}+O{{eGsS_r*0y7zs@}aA
zLgo(|xUT5BH0f4YOZTBd(h;cd^E`9dFp}+Zn8*&Oo;OBw9Ef<bMJp98aL8%o*#nI!
z)7h0vUWElwbvBn)=<>E)f3*E3tT-R>kbT_$%4Ru5*u!8{^@E%L{Wz6<xyJi^j}8+9
zwX4g<z<hsY#q)_-|43rJqvD~-6c{qite@d-{rfN@htt(WoMBy(w%PZt;UQ__^(ZN@
zYpDy_fJ}kA=p}(nEO5sU*s2%h%*Jl(<kd%&@C(lfKh`P~E{i9A3bsDlj77-on(!^0
zh;1TmEEAxV2MemEW5pJLSsY+X!q)98lS}TnE#S+feO=!2w8NS$#kOsm#)xwI_mZ#P
z_SUuPqPzf{*3&|Mv#svoE?b2`_qwlg^R^|#pu@e%CDJ|eV?=Ivr}5Y=<eFHm^pmeH
zwA2iOH+pUe2fw%O(Mxt%H0{MYn(~j2de|imlk7BMQ-u53uJ1B&Mwg>=NjyT)!`94%
zr@gtnwBK9p(cz;`19W7l>(H7<<X8pEM?c{dMS&h{HffL?rcivYRBruLm<L1yA}2)A
z9%Zqq+k_<j4P3Fh2c2}+ilLbhZC1~K2DDUTef9x)g|?mxBn4%DQoZS;IlImZe0_Wd
z7>re4Vy#rUSoEE+i8ktB3v}VE$h;i*#}I9ZHZR9Il@)1>k)Av`_78?>ivbc_`C=ql
z&+rQ~MihHgBRY6O!YYZ)qMrb*gk_oWay!e@@MLG&eA-g<k|rgqYm>=eAJ_4nu`Ar+
zgxFy5XW2VyBY<yW%Pna1Y5q%yTfT|&Qha7w6=p6tqFY8%xKI)~P>sbGo+xr1E=XST
z+fcrk_+p8PM{xBry0N>nI?aukddq?Fza5=^G0HCkXC_tmhtF&0CLZQ~N69m%utwIz
zSOIb0r3633uFqrpU&2{>4=VpY=(`uxLQ1v)=|%ZRD{42#)`9#(pKzZnFXUD%1_82o
z_e&$qV@X!L?VUZ!aF}be1Cc1Nxx4+6dMJ@tuDwn86)|bvTWt_kWyp=Fh0!|2dka1^
z=4M%AO9r+a3y87WKl7lJnrXL$kfKp!zabpvQ*cI#xpOmKAv0Zd=KVe*Jq5F!6&^wa
zBSv(rvcI(B3JrT(;?p_;o~yo+y{f(LJ~W*dpK(n`pYtP(O3nt!<+9STnMEC5Mu0A$
zn?*6}8PXx|nq%hvR0*h|gmCb3j3zE=FJ{E<V(2&Hfve1c8<+(n)yl<E0~;IR2xX+U
zFQb@+MO3@JXlaP>QF`6uam~)O6M~?RVID&rVZMZQBv@9lb^LwNs+<$)$De?F1<eE&
zPi1JR7f#=#f6~n3PTSez6J=zi6cd+x7#p6G9O#)1^4wk!%WS7wm8TrKE$Z2)*l>tP
zJjOIH`p_R;cpVg$a@J+<)!lCTI_2~CE5i=(7oriPrtwV};ek%uUM$L2MkwiL9Q|c+
z3oHaVY!{A<NLbz*?SkMYK<@$qIW*izbLpzQL%Y~4!{n0*CrgsUs@K9&qB%EdR`*OD
z(lKy>1;#u}HuZ)(ZXFq)dw+G1Id$$MU;;>VmRHhTR$RREmr%C9p#<&8)sgPPqJ-pd
zhfK#1cQ7lGw)`)Z)ghi_ab}byf%DJ7W<m`XbZ}5`V)E^iUGb}cp)i%Fo_DWi5kYeD
z$0YZ$gcpGLteq;5Z(N+x>omJ*|N1BmGy5wzn7GnCTc94WVd%&%R%DHdVjm)plQ&Dv
zq}5Sexbu>vqSF;0e#%e$L%oNevpWTzv&m1$X-X1pcNm#6UO~Y#VGeE|{+G%c4douO
zVK7-<L2OLun4E||<qs!{*mY&EJmm??@K`I7qgG>aj=Aw~P0+`AX^!fr1Vkeu#Pp4P
zy=Ho6cYWllk(yr*;ua&m;-?JHYLhP$wk{J|vWJB18nmH{ofBheJmntRtIO$^za6b_
z2A^CTFlUR$`c;~;VSd*B@lSpuO7o3>Av>PU;O?AhYq{LaU+r(ZUFH6$`z$${onP#G
z6mjHQQO2a9p|^_EQ=cN5p4z0$M$O9cWqqmrvzzyEg7IQI@~QpFzH)ioQJm*0wjd!d
zk{uH%z7b&te?D+BHgquL7?)DI0^?^@wwz5w0O{mJs)c+R_VuPz@?z+8{&a5=vG-&|
z`X6A8>SAbWj5x~srr2gAkIGak^#Pw_m()lE5f=?NV<?iThp~3;k|KvE8-XTl`nY}0
zPHqFW1q7qhqZa9?fo9#(Y08-RkK5*;R=Y`-0fV^Q4MFD7IpjG*pKeC$e)A7(xv;<5
z@|0)YKHhbW4x5@pS21j#Cc{(`=0!GQ0j`hJt*-3!VH8wEB;&kY65I<bibM`Iu5^^>
z`e2-SWrbB@dC@R;rVtcWT*Qt<qr_#z8AMHD7hya|&+dCoaa|%GSd4YZ1dMvwQGbZz
z%=9^Av*FM>6z+n`>V^p^J$@f09E{Pb<sJp)$!pp1aq583bQS!0P=&RiBsf=f-BL3w
zZmLJ(?r6eLAr=t{1PaCl#Z3=2hH7E-?6LE=yZVn!FM`h>ZBSJ_WJ!MlZkkYW_=L<y
zLEvPp(c2WFL?FB`4ZILfK(yE$@`$Mv19148Z7V`4VKNR!h%(0_;-B0VgSJ?1e+)Z0
zL+ee~R2rc*Y7ShyGZTpn+RAz2YTP~4pId;2*nxG=_r_YV`J2_|-`KvZqRQ?>zK|4O
zwzP|`FLWFCR-RlPbMZ0P1=Xo_UWs^LM}dW<<$TP0%KC^>3roFG3nc@NzO9h%#gux%
zzCj_OMuMa(hYs<Dadl+OsK%<PVJ6hw5j!!fczh&vB%5o~(hv5EXyPUttAg&~*wuj&
z;+_wowRl2#QF2n$DugO3iI8dubO|S8S$)=4jnexPQmY)B@TmQ?4<N@#+QT!{<AfOl
zYAR(OtASLP;Eueen89DsZ<&8UojJ6eB7CzuD!S^*Nqb)w1&4N%T_S$PHd$z_Sm7`J
z&XU+WL;kXu9YEl-%c25(PtOxFdXen6B+R<7V$^YY5kP&>>ik}c6qoggyqpH8We)rx
zY9Up-k@}SgqF>S|32{9O49ImeLY3Wi!bl=-ZLJo3`ut=z)#3w_MMfR6jq@E&8^Sl-
z2MG-s8>YlK17-OYV-S3E-|Z065y$-@H7?1(oX874$iFbig|~4n!_0_g&0KbR6kX@U
zw8#GbF?V`0`KL<Mn8oiBRQE1*k8Ic38c}cFk<|mY%;)Em|25%kPp#I*%^YC@cYONA
zQxZ`WW_A=h1l^fp(}`k>l>^)z#5t68qbW$q+5S)bRoQ(ekjAzE7jXu&OUl(aY;`Tu
z!b*w><6XmcY=ZEzUAU0m0)pi5;8KGj215<YCEyfTKC=;~(Fa``hw@TiYVwUszER|J
z$X?mRed^6;Rx7Qi%IOo`YLGl3ZLu!&oyZFD6B`SvGb3?4V=ecSU~_yGLlUEj21+bq
zZd<(VZ`&Z-xu)@^S<|a;%=j-}cwuZ_I}qy|sfpwO0~;`numx03mX=PU_}SX(l3R7f
z8X{r4Q7+3urD^2pne4~0cDb9!d)MSV#-3HIQ>i?k-|-@aW{hF4?elwcbeSM(U#kgr
z-yjjmC)(_m^F{J`<ycl1hd4Z~5s_oo_XtEO1$M-tTq*nDxhg6z7NyN`%6|?69W#S;
z3N5dOC_OoyOQ?cIN#r|;=}0EQ$v5w_bu2e$-uXM+j2B$*q^I47IdUpRV5L_AE^;aE
z>6%a0<R3AvqX}w%XFH{pn>!Kr+AWO{yu1`YsvP7jy7VIBOx_n7aq4R)v#M$vNt1Ce
zCYnMF!*zTns%K4|3AxnEFm?VM@L(1*0bsW&pfEW6bO@BusHmA4Av><wD8lN^@$NJK
zf%_HEqF3;peBxZ=K<VG+nn-)#K|cCPQ8Borx~aqyl+=a4*}Yc8XgPYUlEKiTc4R4A
zZ_anUjUh{G<JgWyZ_zn(EUUJI)K7-8r${9DqB1EVY|b|QpptRoefRsG_ab0x(~%%_
z1>@x-^aJ<~{-}0^*uo#yir3QChjC?pQP?frvrD*s(wI@9-Avn}Et0FWKwD2|Ebc&E
zUbfW0NegW-0`4y|Jref|13piYCCp?Rr7`Han)eKbySLKd)bQfhTD4n?Giei(YYT@7
zFUbccKi-r3QSlC{cULbxq#i=Y%%cGvnp}|f-->M~4%CTo_ZnTAP&`A$GnPZ;=VUKS
zzO2c;x_PgL4y`{fDiQN?j`IqvYO<=1^YKml&pb6_HxuoaLkvJ%Cit`v8YL-<-}V7x
zk>wG##=F*|ONG|#P3y~0X_N%KGhb=OcD9uXkmrwyDN~j6aSvWJD(Qjn!R4Sev?1U`
zB3Rg*_}|7=*d*(?IFckBuro_4Q-&qD8Zy=5$M;u?b^}ZP$THl}p(J(kIW065&&a30
zLsZ4>Bj)g0+gJ#P&EkIlMpITV%bg0wLxoYR)k{nru4Xa5jf>UJSrfC{T_z*vXvc+(
zgy-*vIkGQOL%*sjgDzbN0j{&5$w?_{>kXGfvMWbY82Az@)#un8j<NH@4UIoUzxVPd
zuMb)bA-aCRUkdWkCEV%t2W1A;BZk`_eaNyCp<vJ5b)c$S?;pLX`4YxdHB6{jRScY*
zXPnzvTVy{b(WbV3#XAYPC<{~3W$_nm$7yG`Y9)elopZUearCbaq=#JyqW`|IN#C9P
z)m9_RSS)c~%t7puiIxbuER~3$mKQWDFMm$zoUoxRA0>!}j$RIRoV+>$PZ>KVimjH8
z1RumIRWEh3BM`AO!YPrmozB9C6mO^ebL3M!a09PdGl0-xZk=@2WC5IP3_@>aQ62AX
z_sv3nl0Jv}Q3ZMvxBNl<YG-9y%GUX6x~H@^-t$djV&@M6K3@65JwwVO-GFhrT{0ze
z1NLk}9Ix$@-rJ9&%tC4FIosQ}ZAAPG{&eu5;P$Xk*~z!!lh7A-i5M%hV6+B{&@*<-
zAqJDkHreyW^<dL$n<CvVZ4u#E=rP|5B=l3cE7SyXx$IQjDpM!<nQ;SEElo5wY>^@a
zGa@~GjR1OolO^%=lg&Au;hzltpG1p$8;FbOWj=q-O5Se#F*M7K7#l`Txv4WGc2&_g
z`!;(1UK9KIf$pXE^_P^+F3B!$vP=fj_`Ylmn;2gL6Ox<2yze?gFvlXdM;}VY(GLww
z@M{^QA79=R&Hc?<>JfsBx!n1d!sZN|^*R(fggWFZRKNT8K9K`Kt%Xj$^0UTnB49D!
z@Qtnow(oO+{8;E!8-4JoojQJ{_`|jNDtE4|Vyv}VZwhwS!1F8|o|d(_L<D+Q)Hd`2
z+Mce51_%#wRsLzYmF-u$qfbP0SA~Y~Ej`{3TuGiB^4yp%7SuNyy~V~}fgz_pbqupZ
z9remXyQ4;6nfoXSjM(3@eHDBY5f`Q%sd@nX+`kx{D*G`&e~g}#`(07F*mnv@xv@29
zK=h68QZ)@MRlJp1X+m%=%iGa0Xe?8rkn*u)i_pO%av6{YStX3rzTr2Dnmf4!#n2Bx
zIN`BrlDi>|XdO%y1-{Si>JEj!jg9v;-<4{XX=2{+oEh+lr``^=SsaiJ{~6@U+BkG+
zn?gQd2HG8`O-kr>wL`Y<X-PazE+2bL82bqiI45dKh+Lm1Dtt>Nq}<Du`y;)shUNm|
zM9kW1zt{&X5?a^LUSYE6_Pd!IQRaYrGZ&uavyTn^S_MWbk>dvhkST-w0s-v@|90;W
zEKYG^?C3t(E!6`I+=<C97z!|+9?kdN!LpE_Q8I;6nb%%QhChoBGe1i2`M(m*E+E!U
z^GkKEf0gAbh)>|_cfOx+5}g{;&_S8C;+x<w@2VP-iOzD1@7%;$OE$fwtI#0UAjdVR
z3?>+IAK0J9V&|e!Nq^p2bSCpWn9lN`RqFUWAV2eq$jheinLHdzeTC_~!qD{1y*7t9
zqWCawadtDrOoGiDPbKdXCErnA>cX~l)#@Ob{^-T!0q4>Hi&R1J1F7bWT05<CP9@T=
z=&j%qSn<RH40A=zCbD$y5rXKcn~`LwOs#Mx%2TWZnLHp%fXK)KN-Tv~3bfWJxkb!q
z30&#KPr_NPS+!ZVSxYj!md!^bBHLK)C3dy1xaDub`%+LGh{vJ|*ygQFdnPV9xLG`1
zDpXq~^`4A`A6p@1++4gj_-AQQrhp}u{4LCaNKXgZurb-hQWKfw`2iLw*c8LX*=YYh
zGvaqQClAB=Oi%ZDJ0hi0W%un+u!!Suj%)raQ`LPZ?dSaQ$gT&HhEbL8Ig}}70nitw
znFt`mA0K?7e=f<?u&*$`SF<CQN_ulOY?zr%7ilY%jOmP?puZ0!!ymV4+enu+nX%#E
zOYtUREk@$VS;%4EjcO+stDCAg-m4Ao(`wbRy`%(6;<O|Tt#G+g1TSk)G_n?j_xE+{
zgotI9)w#tm<p|kWiAo+Qzp89RGvKZc*(c*>1pY;fxZp%3--E+9#xRxe(&tw!QbUfi
zn9X%zT)g;xP1i6TJ4F)kU<dV_wE<@{YsySfC2L|AiU_Qp6b;W*9LsfKr7R+S=$>df
zHEy&b-KFCkzal(Tl1<~AW$SG*HanWx&0y#EJ)W96<GjS>eVI6`vTk<T4~D0vU*BqR
zo-fsA*ZX{iA6w|OMX2()ikJ3jc6iG0o@oqvY`-4hJ+yvZCs(Wb=;JI?m+$o4Q15i;
zglLI?^Vpk1ndcwAJra38QY_)Ej7m$Za@kz($XH(Qpm%6~4I7$WpA^@-U_05laBHff
zW}0MYci_zzZn7`53!|LIomNrbXJgbKXMScBqYZ+%w^r=iBwjON<uq;3i<4Pjh(V^>
zm->@)YWgymngl)C<Sc=pUSkC3D}93r-xL(t6r{j_I|h9T&xbPyky8=f$t6nd&BQFJ
z<qU7&r2};zx6H^XhbE?h(Q{6F`+<zAxUt@dESJLA&nBgP=CE>tGdC<<q^-?P*~ag>
z-7dR*V`{3)Zzn1m3N+Qf**YM#ta>|5813qy%b?e%Xl1*29R^RS!uf!}QT49zxE_du
zWZ%&6yoh0^k5O}o6Y^2p*U9VxpY(;M$HmoVf94Ls95r+HWRLz>WZNyp+V7{DS*4Gk
z?h3qffhnBEnW-i{kw^cu`XGKyx#MT~WXS=3rY%@cZ(4N*toP$D;<A4RdrRjxL4fzT
z|2F=udRCfDi@l!e?)zkV@X7c|_2vNl`}SK?pA9iRWmi6(UVh!UZL+A2C?e?FpcW;o
zQN45JpOpd+o%`|=>v_r~wgRm(Llr7Mw#7flALyy0+J9mBclAz1P~s(Zm#Cg&*$T!j
zNzd6T#K@#JO1w2*qt(hFZ+4+{iHC~9hKKnTMvTJIv9j|laiP{Zgu|+_NTm~99a<00
zW}=1GvaR5(=aU`94t+k~zgK?TM=#QUzD_UNq|Ps7Ttg_Q*&5QKKF>T$SAD)sRYbaq
zVJz_5FJkyqcRh6fUP*{qR|`$7?I_<}d}`9)wA)R}dFAROhLWKFlz7)x>A{fl|4vK2
zn%&5g^(1;D`W~@>!CcjV<)o%dRPyeev4YU7Ya5x$k<6KF+{k_Zc#NolK;jHlH~1E>
zoD}$;K9o+`>nRCN355%(^C`}YSjwp^l~-*MVCCKO;XVFZ{!^Yorw_kIp-*C6mB#os
zluJT*jtk}iO*Bs#t!yWjgQ)VyCc1o>mSUvwGvnH$1WkXbmyw1j4Fy?-63$aDH<FVl
z50T%8EcbM8=pS5aBv~#f4gQ;lCXkiQKrM4~m8lOgD~NjE&7_Rt-|x()Rb0?61lg%V
zZ?m+8f>;#_R1-2qG>0i5#oS*z^_Kj#_FK555}kmJm}eFE$eKl7F0*~Ve)-xi<g7JG
zzZp>+{W5hveZ)D%(Y~tJ^mg5$=N?1K65sd2Qe9aDLyuWwd<(uI3{uzdZ3M%1?PJVU
zFIo)sJ%AlSP4|q7FP55QV8QD113asV`l8$I+Y{F?=2OCpVxkcLYQhXZ8(ul=sz}I>
zz#%6%b@0jUlAQg3TTWhEHcR4uhTh_Os2=bMAL;=VE%BGt)e#4%=psFUw?@vQ^oz4c
zl%ARU7Sf0A`bdfG8Jyks@DKv>EKBM|dnKQ?jOjm^ti5KsHpQ#kYUbzI^0;kS_<mO!
z!97M90YvsFY{mgLRC^PCZG$Sdg;cg)+uRNO0kwAx(p*(1jAnef4+33hLRo7*<7e~i
zYmt)yy~QStli^o&sr||mDp0okNlFz8)`YtQVIv_(gKt%RGrEXETIJsO=WIE(k&Ms}
z#N;lpmA!7D#4G}`s5jZrJLaDFTQHT5J5?GiwikJ~2jki*uZ&-dsP10_Q=?1nGr8xK
z@wr@Y*0sdoR%qw~uP@WI)A&mU!*tW)ISf^poS9LGd+abRuY;7;_Bhrh-9`-GcpEUi
zg+%i4bG*p$U_phj>C5nxt*5FfLOKD3q5+tnOfNV}O<LD<gOdK!-z1et;4SjxXrk;|
z(@gk2Zih+$*u9A7&c*XaV?oeX!8sZ7%fCXdO~VkbHHVR04%Z{K&0cp2y%gUUBV!yB
z5+!5NZk$j=G}~;yHZl|1gJHVYWg0pWnclxMUvLI-r<`S4-PxGhQOe=C4Q}-NOgKO9
z6<eJcz40z2CEE!3T=1BPU)f$rtt8K?7}M3rjG`Y6lr6NX1lDrQxD9{pSPInky!+bw
z<^1XlvH%fNhkM{He#ujA&P72QO?z%%!Jj#y!6i+`z;R<N6>>599iD8--kn*{Ze?^=
z{-c9QXZ)P#amH2DNY?|t#7I%8?C`VBA&odyF64Q1PJT)a#*XHRXXf?P?9x{e#npY&
zQ3xuoj<p~ho9NnCIN?aROe{qPCsQbv4|H9L8RNMNzlX0$-OA}>c=i>)xj*;T-JM$w
zR+(r$$Lfyb9p_|H=-56eMa>6Y#&zt`ew|+6ak9@*%jhLrZRNer;?b07K#5Met*g<<
zI{)=LlQhS#!{SQMIr7d2zap+3)DyFz@T^Fs+eQf6yNKFFr^?mZRPhO>Gxg7q_0vuO
z_IB4<`X|%1cq%eb%*ABSkJDDm%uvSY>8SHz^fK?vO+`8n$F3V4mpn9?rPA#-X<W0q
zwhUI&bv-=(_{`#I5oh911^gt0U{krl-2)Zh9`P#TY`87HqvGAO(yXLFxMG{S60R`d
zxD!38^UMx<=a{e33o~$dn@L@goGWu5Pj_3UKcizey1a@W=R|1y^Mjxg(x(a5*aqn6
z<X~)I{jX+gXaUR2!VF*l{HyWs0O)0mZA_ia0L+|hUqmGUy_mU`ld;3s*~-AlSj5=K
z7HACM<AeP_MYv_Yei9&HgUIrKclqB*X8CW)umAwPio2chmn2&or++PFXG5p|5dM)F
z{!xSs9F6~71<;EMetkr!g>9W3%#9u7j9nF!X@zX9fU+w8_(W~K)G)U(1<*?ZjcuIF
zo!n_9{v+R3)yDik8Zxu|NBw_95o1TAFG~$<oc@V+1ZXp}u>Lbm7xv4H|M9^;+W+#w
z|3%OLS2_V;>4halRBXj1MPv=^{zt1X`hOew#qjU{|A}V$54*Cvqm!|<q>YI!;Gf@>
zj7`nIoazps5d69;#*_ehc?Y1e!#^u2RE3ql+RDy$c2>sLUj~1v`lb7S9Qn^W2Xi|o
zTL%C$3*$e#VChBF0SvJ8>HzJprZyV`!`JEG_y1r1zwv=CKo{_@Fa7s$`q%aTS6BM)
z;l%#$-uyogC*7n`n^guR(Z>&1x>->`g0K_<5+;QX+EpIn+&T1-U<;UqWbA&>XD7;J
zpC}a|tV&{HjX5*2uJ?Mj=F%j=J16)B&2-kqo4NngF5|?k)a~LW%DL$HL{s%eSAWDl
zfi^_`@f4SSuoEw`x~wItbvE^E@MfD!-u3pb2CMX`howe$(>EiX!})!g=bbAP-&VfK
z{tcDBCTE<jBf>l3!z6@$|EZx}B%zRFa?oUXZv63Z|EUX)|I&zs&O9Q-!)(Wy=9DAp
zozq6IX|#^LDksIXOYGCOW68eU;&gNWZfS#Vl8^FLuEkXfy`g<IkEc`+GVx+8feNft
z;G0E=!=IFb8*J4)7O9{aN7j+N^a7!v@N)Ap^!xb4^*o}HodmCinnvNCl--rT7+ZB$
zKdQC&Zz-N`a0|Ukw;a>)_@Lud`J(c?(h)n`1$r?4L<CiJHz@N_Z70U0BJfcvUVZ!F
zboC7j*9$BsK>knQS4mUm<Au)YKHNfG!t?rD!SVEq>Z#qtZ?cT}i3biWr<e{*zh^!C
z<~aR<oKf`oPeb>iJsE>rC`52BqrsI2!q;h@JPG6eTijqoF^b-;J$1H+2b0^$@zu^X
z%GJ*NcdYiW^wd*6+ibk|Xr+54roSzp(4zAAT2=*kA?f`+JZzXLz!iTze1{YK+;k?d
zO!=-K5-FE(#ios4Cvnq6#*Dc<CE;NiOoOv#{v9*js+ZJ^ydVpWMqwpaxljpuPltSi
ztA${<zEgIVNpf~ej@St=TbF=f6J(d6vUp}vKZnp^<$njv|GMLU_0j(T=YIq9|KQ0#
z`ai^yGqC;w?f(F>Ahm+Q*EC>mV=MDj{((2GlC8CY&HrK*60&szXwx#XaRO+WI2i$q
zER380Mg|s6-T!b{8JIc(n3@08g$?W^jLl8WoB(Vboc{=d|3KR5Kg|D{{{`Ak{}J=A
zE$L)nWo{&BV`^pmg>7F1<uB}1`>(33xufG3Osbm$zveAghW}jtr})>*Wz6)2iX8t&
z-oM{`L9nv1(-(#FKa~F){QqP6AAkJUsAUAOaxinS{QK#D599w9_P?1I|AD}N&x@Ju
z-@H`jm-&6N9WS$Z(}vGpJ4w<=5@g~fO(dAu%Lu<ANeZBY3xX~u(g^5U^pNJ}Lb8{C
z?UY7EXN`s0pW8Tv?q1dq)HwI4-R6f=q2_btvTfSH^m(|J23X(tJiN^rbIh*Gah!CY
zaO|AqbQSVL$|Fe%Bo0`#S=m}I3Bn4T+7G-UsKRZ%@Yu9pk_&B5LDIZ-KDE($4peZD
zMzSR*<o9x(4>ul_-;hAl=w**ZDPs_7gR&&vBT=%OzsIp@-!Yj9`H+Y4&vrho(tS9-
zlw>8m_>Ote;j<hiTuMgN`>?_g<7x)%pMw7Erzb4f5)%ryAuYG9zG)pK*l;o{Y22=Y
zh5ia1+YXw(hh7Jq;ALUtJiT$=8}>^bQ~pu;#i0Ile@H)TI=_#R)BF_ZVbAvwAy2@c
zP>=?VGiWF=8Sk*Iy$72e+j3O3<0DzR-zDP9ALcMBiSdbld>E5}0+(V>O47qG%koCi
zB2-Ciu-p{--E%$Ifd3t;q?_f(C9&Yg%b7T4aX!f_`3FX1Lfa8U$-!VK&Z#5pr>M-3
z@Y05?gzj2Lf%*elNxUj@6OAMo6Ew2>8T8A#hCJj0Ed>pr@a<Ak<S8*V=vgFq-}I&_
zmh<TG=SzhbD{`TW3o;uc`ts}&KA}$mSpfn^5--syQBvw4#ALiSgUvT32_J%Q!~~*J
zMCMOxsXS3@viyW))BG`xaa?eonwe-hB>RyC)91wWNO<m2>5zC~aqb+1j&=x~V1G}o
z3WBsHV|9piq;&%AHc9ZE^Z{y4Iiz|HsD#U#z^<qZ^JMl{Z6UtTI2O)Ne!jmre=F7!
z>a$ll@bZUdKM#vj&&W504Rh3(FpdfM>0{aQMjn9r<9dLcol-?(<7L$4@AU+S_qAVJ
zp||C*82bwN2xj-bpeGOmNpIj5a7lLyQoJJCB|3%iiRBFs9GLv`8_>n8zpu8X(GY*F
zo<CTTQ8Tb?iWA-Iy1F!fLuG7|h`00Sandw8yt)K;h{cxRf7WZ<CwOV|hwGW$V{y;q
zky1<0t&UH%bFm?DH8?Lj2GJGY+0$YI>~|2V2m0h>63IJa&43TKY<o#N)Z&TnLf#;J
zto!k9N@5TFSlUp!VK66Yiai~^ePYL0e1KS%>V!SK`qmXTIVI>4E9f<06Ins-JA%G5
zTi=@^$*&VYT$5-;!o0nxao~D|b7Mq7<Qi-6gxZckA0I#>GBEVG?OVOTZC`;ewyfoM
zK0&T8bbh0H1GDf!TW)~hJPlc&#rAU<UgMC*0iKeS$9YD|2dgqY!#;UNBC8<yY@iGI
zhV7YiWR<HHg(6zg&x_KN{o2$Qx{cu++bdqQ;MY=}X(;P!$Qdn%nj}q&RA~p~ESCg#
z3)G+oUkkyhhJ2@xbP%Bf|D(3o$2o>9hjf!+m4}_mL3{+qZkt_s*DvF)uhd!OcJ-I}
zyd-j$<j8P}V~gSoTYnnjut*{u7zq$|;c$uSh8byEU`C&-A@T30sLpz|aAz64{;E0f
zzLP$KW0AThpe<C#)1dhXiFHG_{YKocO?!h{ZHFa|7=Ov<7+Cy^DB$ndgaxDW7uoAW
z6Nv9Tt5lom)Jw9U9hLtEDrL++;gCKThp|ocOkqi;Pku}zuQ%M7;Asa%J*3y{U*8?E
z2J?(Oa-VQzefBK)qPzq})B;*$w_$=pFtUbd--!<e%{NQvwE}%)$`KA-U94_+{yGHf
z)#|Cxc#t3qMA<imH3m{w2HS3>@&#;j52K9Lpdf&R$iEUN4sFh^)=a`*F^uTquo#x<
z0&)1vzb9{ouo~GUhB^Zgq7|42-c=UJn1^geFZ_7zQm*)yO(lHQ2BRGL0gFHaV#I6i
zr&nW#ZRZcW2cyKOG>XZXZ4KvqC)e2VH?EKEv)C(;3+j%goYUHv*ym-_ZKRP!w8nel
z8>8C9&$27WPQF)R1-rvq*I^2RB>TVMhQ_{&V-wU|CI#_fCvK|7<$3KiT3RUILcH{1
zR`;Ejtkvp<&89HSzkg@3fD|7E7+LEwaQ6l|`Q8|Z`Xu+RW^W5W!8_4vXH#akbz@Au
zuh~<2Z~wiijqGstpFA9zLh>;+MDb}$c26;N>cG5o+%q&Wk+=jCQ(ksGWmHnX)IJ)D
zZTZe*11D!ZY2-#&CU+wEdc*4fuwTa9xUe4(kQObVEpRyQlo?}?fRHoUw%+D_@hi{b
zt`-I2>rE9zJXwIdnYibPyA&Ga600}b>)eEytk@c3Xtn^(!#8C({Q?=|m^DXtlpe!b
zKH-T&-7Mr3;~|90TVwIYP3A)4ML03mQSi|e-3~x6Z7&~>e6zx9=|^N;n=7)I!MH>~
zS-aKV3Q0&*K$CZpD|fKwhM*I;wbk1Pq0e*aj{vJa1BR(!^N|I}RWET|EZ&<38ATRH
zNRzgmgGaoz2bWU|`tLTIo#Po;T@F3_C42`vc3L&3tE=Ek*lG)%MWp=gEtFX;nNinF
zwkD&jmJW4IXZX1G=I!3A&S}x#`EU(zcaN2xLACjsgYTWjnI4?ZzXC<B<+0gU_{U*(
z10Cm<E0{IEDENW+$$Is<-m1BHA@<^xf?j%ecE5e;PH&B^6xHlrA6yo?j7Mu`TRsf`
zVq}>r?T3Or6tfaPNJrjD3&+rgkFKB}<lkVS*BH_mS6goj<**b_@wy69duDgnvWZ_%
z()Yt17%}8|bH&}WF`!xwxmDdW4a5Ij@Hi;{L%v#7kuosSgjB6^S*V2PAKi1l$_=&=
zeIBryB5T~FgL-uWwwiN!vB5XTca($<`SWd*8#gW56WzoqpbQX{FtAr_M2B;Oa9L{H
zLYj#1R2}yf3mxwGq;zk)Fv4Yqr;`q83b;?CrElC@vglzuq!swqsTR*REI548+lnhQ
z&=U0fVcz@sBOiDFFq8I!`nE<RY;v%`cQ8?+vPZyVH0is80e#B=qhOx~T8M9KA#R!+
z<G2x}c9AmO4+6L?6{p8{TO#)s4jX#dqmJR!IY@mU(k8ksTqlDGaXj3N#!i99qzLr6
zLvlupn?~C%mWq~CIP3BK=aeOB_fI4E_s^ov7in{MeLZrzN!;T>&L<=9fkb(M_qiJ{
zkc-wEcjSu`?fR`)gx_bn@88KNrWSgVgC?OFt$PURg=i>~^}_!T0AE0$zhxmW3*lCY
z(m6pDQj+5k;;}7KDlbJy;cKUWNO6kkI3U+f(OjHPieoxg)c2n{ZMHa1{t}&AzHD~f
z@@3l;T{f}a<(Z;`6YCi3oLKKicE!XxWFSo3;6uiX^Va%2Kl?cr+w>)Lt{*~Y-FkF9
z>p;66*4|)t%((#$+;I2?8oOcqhT}JI>9y<EZeGisTbo@=J!@lY(`%PvjF4WtbM4`^
zr`GaoZ`eFypMrNMR<U;8nOK1=dt~y=?Ab}=V&MnqdHBr!GxXsP_J2U9Xq%Lgwoa_{
zB5M&xSNlC@#-g4NkUkspdH%98;@Pm#XmVb+2A$aI^lIu|S-Fy~T#dmMtBj5Vt4^(=
zu~q3+bmyu)s}8T?(yPv`%C6$X6?Jt<vSQAPr7QNV7+)bASOMA<Foa&ZV%6BN-8O2z
zxz*;o32BOMoa7RoSaXDKAnTDRiJ_a$`$iELj-rpbKs@NCk(MHHm^y+bMx=Zr7(YVJ
zA!U(x>YhB1@T_mHrbA>W(gCF7NIcP^3us#1Kzfk|k%o}a3PM+h<VC8KVzl&nZ1#F`
z1c@WN(9Iy7lR_SJ(@0BMh_0LDd>(DHmafId)?$A==%$g@Bb`IyvBBPnlG5Z9y?TNV
zdk$rf(6WheNiyfLIPxB)KH02-VOWCr!~<1OiP+DRJp%O;GrL$8sGaDXDS0X<Iy>{8
z*4DhIp&@w)I^l|mt32nLt!VxOSqfK><4EU`I3i+&Ky>JCLCPRuF-)r@LiYUR{;RJ>
zG5Ou({zZ$KxJ>T<%2<vkQpo=>`BY^b`N_$r`ue2!r-n8%{=!qebCU$S{TkLi4rj66
zvsmw0!okUjTN5aVznHksiR@<+n=3qrAOqi?aC^ilcy8jV#Zu3oo5V+uBE*(_L@JeB
zkB{&i;@s!(0iGkLka&EY=dh7E=$=42jdWg$A4dxquuGW@QkTT?1LzsbY{~4(a6<>S
z9N2Y$Tbfy)*__##;ZJAIXXxnz=MT`#0juZ0m=(LWXX1O!$iA6lk4}7-Ezn0^`fi8k
zyWi{Zh%cj|(+gh~b+q>|RDMtV9^G>I#NpG2xmV#Kco0#l2OgX}9`WpHE`+a=14xIF
zII<qy%}6_02)h+{5uZzZam$OR4szZX(+BC$!NUhnAIu))y$34~4jvqTkr#0wcc87e
z1D|OJKIIN3JFsJ7#tdm>c1*OiB&T4fs6J8WIdQzs^OHC0q&5C#IxS7go4O)t1dMMQ
ztV!LQ;+wP*o#St2-{kc}%{r*Vsjox(u@1ZEMYj@3MCwHvgt`}nJ&zuElup6Oq|SgM
z9iaUv%>5|R=g`ecz60nUMmmmk3W=xvXn1tsAl!h0I}7<W$QzKahZGtM9vGUC*Wk>r
zg(VYqHuFo^<1}}`0Q3?&rnf*XDMOw>(}M|q6I7$w<$?LgUC8^9v-Ec4M&xaIJ`;HY
zc{g%5@>x(L^<xIMiwg%*5R-U3w~(e66xLIN#tW+_$E%@ca-l~*^eQbUTab3q@)x-C
zUxQuEYB-7$aTI0xD9ZFvoRFhLfTNR}ogUI`pea-tDO4FLERvFxND^a`7?Z@9Bo0lA
zCdC4`Cv)GC`%c`)J^YXd1xt5upU?ByeW-K6C6?W%_k8|P%rmC}ybY%sXr|#r18vai
zJr6!WJoi7~^W2C0frp4^_d{-`Hy}IFm`>(Aef=m4*@-b+WOTK(*66B<9o5LL%dwS{
z$Z)_voLIhGD)Zq4F7ljb!GfG;a?YHjlx5bed`eqeJ_TisrA(r1k!BNoh(qxq4#9^g
zJ9E$-L^_9b9tocv-OWh5;6qWxk-OmZUFYwjr<+5t7jx`of`jg1q~l1ZkXV_$D1CcT
z-uI$h?!~fuiGcO)#g=j<9>)@oV~NL6%`Tn1qX~yy5B~?1z@X%wkladicOi`<WsrCp
zpTKp^9^%csZh15RFmE!|a;muu-o$cgbT=bW$<0c>Bd`rq_Mm$JiQ*dGim6+14R6KA
z-h=J|B#PbIirr$qOL6c!cu!O(Ji6B)^BU|r3Tz=NkBZI7qhl^l<;!$FZUghh0$TZd
z@%O#IAN>8$?}eqf-fzc7ZpTJ$mm0VoE4%$gy7Y<lPvAOyasu~ZwmFCs&VaN_q$kmH
z_`5XCPU~QT0QFDYT8WeG%Q5dHvhnZ2XE+p}VfRG1Fu8FPd-e+xy(lo$F)<d#eA*nd
z<QPA3M-MU+3%yG9w1|Xp;cIe<svJ|~Skc5CC|g+D<`&N(D$?{s&@<TV!43@}Z9!sN
za~e0mG&ZkA*CY9KXm)3ijv$>t;&I*%VfPN<$Q_y(V_U@ei90%x{V~VhKDfEs^URoy
zDL7GkHA>-$tKq*l$36Gl&6IXv;_fnJr4x5MkVSLMfAH?OXFJjq6i@EZqqsytj}7T@
zeD&C|1L&SdqSytCG=diFm<4sA1#?-jI~J6{Bj}z-q9|q-luipurv=5!BJDL;4h$3f
zq<H}?6EL>@X;Fu2QB1U0vsTjD*6CGeonCd;N!&Y0vk$D;m=#CEicMLufE63vh3+^K
z#ZFnVQ&wDLR;<*DonYzf^SRlSYA3Pk-sU1~={yp}{%dh})M6$rR-20zuthSl5w}ES
z`w~)jce8NLlgACaCl@VZ(y@DT)|?#g>dtXdOm1#=!ER}#?8YU#8>`)ogQ!J!4pJ}D
zAQD^1yRqrr(y+dV8}oaF;%2mWqqH4Q?#uJNdE~G!&-Y>%*xX*b4?U;$!QkG(eM5VP
z_HEg_WuI((UuNHteJA$uWbgRi%-$n=PwW*c|1AEQdLOTRTzs7Kj#rM0<DBmC%;QHM
z=Y}5N^7yXD#~<f)<C*az<J{2rmhoNV<Kz6NW96Rr?_e<G%mjL;XywG19obA#jr>ET
z3!7PLnYjIKzvo`mr8|)BMp}2<mv6iGwnuM!?zUHMlijwt&T}i0xVg7CDc*{*C~j_T
zPp;p*c{4q}`PAlfo4K!Vdu|(DyX}^3JGLF##%~_0^lZag?!2SUbH`YdM;u$VDk+XF
zSd0$SxMMA?$pd4D$BvJk8ap>8XvaKbbm>@jjP4l&-4yMZsP$=IrR}7a_;As8Of)x3
ztG|OOV{wYMi{YN0WDx>rN1e%<Fqvvi`WlnA+N6n_lvO5KrHPA~NQKG!GF^x&V&Oy)
zE*aWAQDj8cHCd$f>}vMY*$8Q8GwDHBMCwHvLSo>z2N!XVwDI@g#@{2M>>gayJ&0<1
z5CrrP9{bZZVYNyf>zXi|B~SNsOt+}SD6z<9OOo%>CfpdCm{icF$w-tv!i-665#x=M
zZnwlI7<Qq}6GE|vg#<mah6#ane8wa)%+oN5l`}5hQ&Eu=1+ym^j%bS`+R~`DEUNVf
z3WEWy+f(TEXtlZ`ji#Vbqg1IiGPy#7qo9#-5s#O^dX#9+;5lJ{Q#^3IpgF-on%l!2
z=dv8XOAA^pq_s=6=d_&G=CQ?WY1<szQk(3YEo-9=a1~hP_5wK{_n35+0zGdmFi*kN
z6LF7j3Kk<XOu-^#{1hw{jd71-M%<%K#XVdy?jiMYPj59dU?(g^aF;jZzjAxv#*8@k
z#^+VuyQXwx-i^;wXvuI+pARznZqnV~k}&}CzLrdNw0ny4&dtQ5-5F)?;swtGe03ql
zX6RkG!22`&U1**5XY{R$7B83r8%rK@JTCwyX1WK*?!9+m)RkGzjtjQ97G~niv&*%R
zL@)nr*f`3*(G44-=w9}DzBt^TDQ#btDQh2W`^O@ZJ36{ybo5f_vJYT|8!zSEuwmn6
zg>oM(iSbxGpT_Fiu<?u3Xg;_xD)}~k(XkDeIz75E`VXJcTuCg%>XsO*b|Y(RW4?`z
zQP!{&`A?;zWV-F?-r}=u+_15A0o$)?CYKH}1z9sObB?4zYbG5oDPnR)V={IKK_y7#
z7XI^Ce9^sJcXIXhOb!jR;ysfcojKm!o#Ut`8J|d|q;`5H(ZbWBM(#n(+Jiet59(s(
z0&3)3Tns6V#7ps5H*R=62-0u~BMDy&?83`NF*g<)q~{&IG*hE&+D1qJVJ5yv{Kt9D
zJ<ce8q}gPn4bf=EnyE*@%}rZ0CkJ21!nBtqvQ|b%|Dnq0^GYV@RdZXqGYxaQGuqz8
z8G8T&Kf*u)1DZffbozE|?>`b;LkRaKA*!DfQt&N8itZuA@ChNNV}#g;2yrhV#Q!NF
z!A?TLZxa&jA*6CSA+;TZq&5)JcqbvPCkg2=6VkPdkl9{BuKYiQ%)6hE`CWu8tVDX0
zkVPL8vJ~@NbDoeD?-O#})kvoaS+#|bbzwr*<Hk7r6+$*?2)XeDA-5C~a_e1$Y{opd
zzd*>gVnXgZL&!Z?_fD+yejOnXy-Ua=^9gx0MaVa?UyotjV_0VIPYHSQc0%@J+|%m_
zdFBEk&;5pw@BD?3j1>u=@p;TMiG6tq<EHwN@Y!F+zP~(|kXNwnR~|#c=Xw?E`z}8J
z;cpOf1oQp?pXmpGU~d8tcITcZt-PAABiI9oBx-8{ewoQ=u8yNOe7QeTXV#mHB;Y5t
zHHqrD*<_Rj{NZUoyk}2$*QKxNUUJhn*5CZ?-#zi|cV5~TdFgi-PyhU97ys{j-@N}9
zlV2Ixwr)Z5EckWQTt2J6rS-Zk0~;TE;Vb)plYRNAUxj8CU;Nukzq<Hi;NRHuhr?gH
zW8$9m^S(SgHHbYdhwso~+Jc~HT=Z(?$K|wu$SdV^hE6WZhveh(6LNvb2j#ouoSHJE
zk#0^%yl0NY#kN2sfw1#D1<Gz>sh%7bjtf-aPSJCeQt)tdxXm1=<-kNZv`RUs<Y15+
z;&yT49FH;S)&#_&v4P={B?C(aMsz=6UlLm~@RQ*Y6yB;zz*v@KsIBvv<mKhmQVHKF
z+^QX8BYZ{n*TSf<mjvK{4k1iCEh??nl*?;0ri3XB73vMC0-fHN(pb?^uqYL#S={ix
z3tSjP<Ghn`af!09^Pm%|ovqG3=cw}zr|`B7)Ha80hHbHpSDL(qMV-8&P4S?DJF0+w
z#a|TEt|`@|G~5{lJfnbaIm{4XvG7NMRteu1C@-`LPY8bzcwjC2Srhl@t*Hw<q%=TX
zdtEePgRR!xRvJ{+DBF}9l>8=uxB{pGRK1~0=zNF+ay$UX0uZ>v11gW*LrXlbd#Fce
z_oh4wvn}PhpEDQ>3oKfFTEA4!73u|x$wET~7MG>m!ZoTb@JGvM7HYZAq5>6fG(4dz
zgn);@DI7R9cUKnL6O}k=Lu8zsKoKBb_STD%a1Q80TH}CH$43sDbj)--<KP@#yDR0e
zT5TzZ!e~i3ZWUuP(8|Eep;Ic81!e1K6s)nOO9t>eY@c-&r*A--*OM5I4vfU(Z@qOk
zPSPW1bCZ2^$v{zcbu#^VG&(#od~A3)p2X?KgyG=<>4W>n!0<pWfYPvpd9lusoL&pb
zWdScKs?i6l<GjTplgk5<NEjCuPfbQWk4r02Cya)F_xFnrUu=8_hR=)vf0f)~l*bgR
zna78ox%ig{zXRp3FMQ(q_%j2;@F;Y@5A&X>kErT@t57_fYQFE{+5h^{#h>r>$Ah>H
z%*`G}Sn~-fC2>+sYGlg}5gSgbH5^X)btqF+Wp*bzZVx)~c*@O$%k5_T52DNANGU{@
zD^;aKUzOKlOL11r&M6GW6fUDrCJlxZ8o8f{h3Ju69Zqyi)?8sG(S9pB_NnaoNt7WQ
zJ3};^89$FGE){2CmWiDyA}`CwbI8T4*PBvtpx?p4>kg2Wf%`{MSQUjQ%R%XaN?ezH
zzl+1$Rj{ZEPQ+o44fe#D=Y$RVZOd&NY}}$U(8RwLe>MJQoG&<71<Dv$)aB5zwj9*u
z-Q};8|FN9cV8wljGO(4+Ec;a%r!2FTtuA}Lj4zl`)?K!v?3FTJRc0?MEn8H!rtHzO
zH_GIun~FhJY%UHLbC!}|GDr)8vw{P`dxLz1DrgVV)~?{oLCU<P!LHz<;M>8Ef^u!p
z8jE)-{m^Igm-uOk|B(N0eopCs#!t0^-{k+LpX&(uH~Po?T&*7j|C9dL{9@Gy{=fPK
zquTHA&+v0Dzt?Q<l=<KC(?yGX(B%Wp2X2`UuG{T<%16<o_py0+UZ+o#d3rol=?3>N
z+`zei=%#7O?QqX`(}cUjP2FC#F465+?4TdoKyHTu+r2i*+l;oL?FAdJQre+ZZcQ~L
z<kpIKLM4a3HF8kNyX23`ITtU7K_oS=FrrR*Lcx1f3h4Vt0XhYgaKL#Dw$4Uw7DrRu
z%^WS|y0|qQr{e5fDaScgHmE4Jnp~+8=9F43t`t9&Juzv|aq&^TK2_?~n^J@aSt-a$
zpl>UGkf*W`IAk&C#woP!_5+TjtHci2&kC6xQg^#RCJ)OK@(%f1@-uRoYN6~A85LyE
zE*q2mRmMHQApRZv4|&dp^|qeoL7RvrsEQ<@&ztB?Y)Nn=;Y|!C#uL19jTb)hg2@XN
zUZKWW9k*3-r9e5RcP35dl%#)BxFXg|>PSmGgldRrcXblcVD2P>Zok1`dB>!V!qq)d
z_+1nVq9BVt6+IX|7UjcHwlI34(UcH{K6w=6(f^84fArkb0e}DmX#o1V0x%MIH$Vqb
ze+C3)C0LGC0<F|nQg@}!=}J{9ES6N|Zl}qlbV8|<O?nx|IL-1fRFE(%7z{(0eG_3i
zD-6Zq`Y_dmonh(@n{iEr*{ZeK89y(EvA*y(1YJ#ys=C^%R9UQXtscZ9`V)Gpx1w^;
zv(>Dh0xHH-rR(WtdVq3T>Y-Fks7R@A7X{ozuhvmGK~GakXeCDXQr^$@*q3nYp<Y`+
zTIV=qan@u#>WKIlQGqz90%TgP3g&24F;!Z%Q*~G+WHCww8kL~}1}orn1=uP;Spo5i
zsqDvMz1y3rFk+`GjCMz=LT9t3Dr6>8s^U(q*W-<OxrX)L1Kz{l<6hq5O?#==3%k7I
z$k{DLfv(fb-y1_UJTSau;H;#Iaf==p8D?r;QtTLyI=!JmcQl%d8kS<?y7y6gFB#As
zjq6_1Cu2p)7)hU%ilfROk&31<kk*}*;+70xrUAw=a8{~C+5?d5E;Q)QV)at}(WoU}
zjXTLtbwAZ7lUS1k8iw;dkxC5bLBw!AN~)c0CX$gNrHl-)-71$TK@n^%DtYkPqEh!*
z>F9J#BT{cJJ#sEMJYBW)9UjhCBqgwi#7{nUfW@;+|IxNFL?X2e0h&$nBBR;tp(Z(Q
zZt_T-oS{Po4?_}+l*t7iv1E0;j^j>76cbO6eyvR?GP{!s#msa=zm|WyuDN%#aS9&2
zbA4)QVGLfs_=oLZAG`fo6Magh`tqIgZ=3)6#kU&mN={G~D`c|5$Dg&NR&_n_Wa`12
z{HCFOv30}Wc$8lJj2-k=Wj~>l!W(1;tv*CtxsA)2-@w@WGmHnAeC|Q*<JK9?=%6xk
zSrN0ibhv3bnd7ozoRc{YD;7`|LZ7<CQ4%fTUML1*aj=+j#ekaEpmIUC-30}%au?Nd
zu7HcKdB6pn%i!vBaSoXa_RCym*BKYr)q%>(1@^7Zr<`Y;s3O5z;DqiSPMGO{M;vgA
z1zxd$#jAIB7JIQT!Kv(ji&lGaN|m%HOOxCq#qd}$e6{$o;_no5L8e3J>&>0pov_UT
zy^TN`D;tkAa%yd3x^aEu@kZWaHgQpdvDO-`s;#JfINIR%27;p5)=7f8pf||rgW52(
zI>T@RRmi(&IcWBC%6H@@D(&bNYl>QNZ0Hmi4klDq4688VMT}DIGqEfl^qQ;|XDVX?
zlfLp;?5!Bp#lRbb@mMBCV^d%hHHly#>xcFJJ$~w+0=?+cM-$eB6;(t+hw33Q=GDWX
zen`JdKd$HXv4Ig>Rt>ra-CqWVUyCz$WZ*U3vEgVGmnB=8Bz>Xb^M>^2Ofrw5U?%m+
z^x0#&V_4+mYkCU<XTv!R#+EBH?y-j9>D829I@2palJ|cS?~uhL_eUfluB~h0Yl|4K
ztF385ux63VC1Ez1P>`iSBv52@b5v9)Jo9Jwts7G)mf7`k<!ws&9r~)9uWqXdmw~0e
ztER`fwy#U6SGtwA&r&K3(P~AhlIIo5Qj}#w<k$6ZyIf&YwKgoj?y9kQF6|R&4lf%z
zE>ka10bIP^`$4f@f%vW(@!frh?>wZ8l#>dsM>OdeTGLr^S8(Xiu``D<;WpY_DUA*x
z7SZ6=TU!R(%Rq+cOPX1=+u^1R)QR8In>tHKlFTGry9ZKH2)h|>;6k2SPrHXxLJ1^c
zCh#hk-9_~>85ra;FsU5i+FAs>-Dsy?r3?m<LNW-dKv~8BoQ#6?f)12Ao9-DM=i${x
z^>X!{YQ9vahQSW?eDyIkw;f=+2evxESqyI%e^gAj7eh+ET~61?Z<fCye_PInWuRiP
z9o;pun`LjvK9YSZlPNdYrG|rcPLl(l_{hNUg@>()KJ+XE_?sQVcGzl%Vj0LZAgE!X
z0MA6>r%`yS;9vn&6oIM)p3=flC6G#QrC52Qk}uR&!qtZ>p;A<8IxG0{!jRW!3RtBp
ziEfQ9vCEV39Pw}-r-&Q&L&U1Hiq>B1pmmpZ+<L-#+NxApt%Xj7&4DTecP?DvS39lI
zSm$ad9Cw~_Qs*~#^WRFLlnuPv6-s@p6y&84EM@am5-RN!N=>DqQZ8EhkQ~)bp{}Ar
zQC_ZBcx|Bwcn*`}<Q(Bhgl(}{JMxbwachi7P};`$r(z-QkdZr<>No4@DLv>JlCe1x
zjEgG}F81o#e$NrTSKq5Yt>=|`z0Hbs+1MUy(_t+(w#V9Z74c5F4csL*P}r<C8noS^
zP(Z0dtVtx&ip`3{3hsacv<i=cCif`LDd<iGDA=GW*q*y2X9%5La%t<Rj<H<{m!h;4
zA03Xzi>h@EMbrDMl$Y(M(UJ7o0p^QFF%6?f*xJW@$#`6cTPLpWXl@1LUMFo+Xq1ge
zdnCzieIv{kLw9)ivORP<Bt<}O-Q$O#l86pZuYNSu@_SYjC+%oPIg9a`*#Sr$Fjkj8
z6akLg;9a#(yz&3pR+GHzYYT3Csf$y$oe5n$Oy7L4<F?Mvck2HqwZjcxx&BLIV9`9#
z*;>5h^kb`^nY+AUICHJXrPivBAFYhSU7SL&7JU8TXCd?%yN;Yo`{Y}Ndx?w8hOMIY
zn{Mb#z}FHWOMtQtcGrQ?173EiJX=&JYK;kxJ5lS#Fzpwkb@j$NkGHPgQ(w!?Zmvrt
zn#(KGEiFzUvF2t{=$|#)=k>bXvpHP>lLqWVXF;J^UdXvDMCS2y_$wkYQB}|xtDW5;
zN_TJ=5bK-WbqOzDTi;R3WJz!Dtet{Mv2#uYPM}Oi=0ui8)<<}4#1n~0-p!G0L>>`Q
zt3)Eb9YY<Ibm%(7j^2(F9Rl<AcI@gH?+`kQGzD2LXs6(X7cA!spa4BDT12eh!s^!(
znNHR#8<O!k4<|!3H!yrQdS*cPJ{sh43=AKQF&&SQx}OwTl1C9~>2l67ebN@QvH(f{
zwn6vXXhWK9Dd@vZBFE8fkm8DP&)BA@hzhsrjv}{8o~lYR49vnGW+ysLw6;isFo9a1
zDNsQJOy^UJNlB|sh1A4wkHu^;`D$54g!a=B0V$#;9FF)SwSQ@G+Z3y3%qZe2>5DO;
zsIh*f(&lKVxWGX7G2#x5CoI=qd^P3LUVKA$@tDe1t|-hVbMb|=uY?Dqw}Gw+RHa{g
zt*zYu`R+!qfpR5W>hrJCkrGbrtN;A>H9j2xl$7u)e?49NxsiVS`IB`H!xwQjDMtxG
zH4@DprGDW?q9#=&4s|aUDD<w*DoLNBhZdv5GXTOuDi%_(P$5gxu{7qWBx_$vIxpJM
zqpg7;UjxfOtAW!sK;sT_W)Su76coLvDbSSfubcu9^%}Exzs>cI!=%ySvJPtstgP80
z+?T8jaai~1Dj3|TV6ke9sMzOb;heH(aBW{$`2m-=G}sBkBq9lp$!xH?Ey3v+y3jFn
zp&Jts;snuBigV#`&8jg)b$A7h=1+i@4A^I(32+kE{#gbs&g2lrTR&lXiKHc<p}TNa
zpVVC#I4kL%r8%4|;qjc(fXfa-4Hnd$hz2Z{JP4NXLv0O845H+^gaM&ZOG~Vxwe=2z
zTA|e2mns#vZWz5)sa$3=$dwAg9_d#q4%Z4dVy2enSghq@bHN>NylXyJtQTYm7!+UN
zh1ZI=d$pj5DlC6bvopr7>~A?g_XE<vefDD5i@Uxx4|J{hgBHJZ#=}lt%otn7fI&HP
zV(iqWT!TuV<rI}TbYX@eP)Ynn%%Z1EgF|1=4AF8U+LRS+aLbr;DE@l<S8?v=N{}f*
zUI8a#V2lA@X{@9snF+V;Qs`5bg83Q50ct2wX~6CWl^^=<j6E2mM+@KuBW%^f)&$t9
z!4@rv(nWEITb-WHnVN+fYE!~Y<w7NmRKRr=AjC|u7h|u*_+Z5g6-O)Hui#DP@Kglm
zmv1fKUCy<a%_|!#d#LP#GNB_nKWBiqm(DAti9(Q-noBp8a#}uI6K)H0Mr9b5%VJPi
zPy{pvMcw|zermNAc@uY6e^^b=DS;Z}Mrz=V&??T{WZZ3}$s%Ykm{+i(fZM8o4+Z$8
z0At37j87W57mcqO>FX8nn=n2^Nj2r;#&|H!sf`X})X1H00@5_pw5y3zHZkdRx_zD6
zCTLjS1P7XqH&Ja<tZ8!-^9rh}yf{lM(21DtL=~v248?p<E|Oj{PPiemh3q2I>4aEh
zb9Fw--fYCZTT4Jg<m~X)Q(2jMR1TaRy04YPdvcKL{3QvwSX!Qte_msDv$HpBf^o6V
z=S#W0IJN8D;BhZ??{x2RA8-o?-0+Yah+F6Ox)ELly;!9z2+OYyLQn9`APq8c!b*dz
z7p&so=VqPE17XeseZTO4=c8RtaAxeFvV%!$hrT&>(AqtAT4b+ULm@_ie$-H3Z%|nS
zA<3S231v#A0<Vf)()+Yk5Z6_q2?u>*)p*sBs`FJmsp_qw>Z;;0QA`!1R5EEUW+#`}
zHO9pXtg6`R^{2GOr;5)NXN&oOsu-@msThhs^ca8`V2fdw;k<#{Wf(V51KY<6bO{67
zJw^u34o|P>=x?V@Zw5x9Mb)vl&JGXgPEH%gZw=@2O2+|`<$deXCAmZ2Xw=FgrBehc
zHp<KowzUl8ZwIDLZ)R_h0f`UijB;kF<dMlGU?LqSv)w0}H^-#|f_z7$Tv7%9YK>Rp
zzGKc`*n}e$T<&@%f9_ntNwy2yoh)veQ(KV;B89pYQ6*J)zSgy7bH%`o*UjxI{^g$5
z$4Zn6sw`IWg{d_&8vCj}V&M9FZfbddGW|-6pb{uRSlQnYn=vvcnl5o#9pXU!*2hCd
zg~iV*m5o)&NN{FNxFMu)`r|7)w;yvB6|{QND-h%KXaB%ICcI86iO5wQBDE;?XsIM5
z-Hx789Xbv+y?O&XO+Gz|s)=#YkEVE|mz^5wP;48$CTps}Yqq9RY;Tys9Cm{-iQLDs
zGczZS)@j1V#NJ>?*qPX8(PMUj$q5EK7#v`*0oMeoM&L?7h=V~LhrVMR{73+<^o~;c
zXVhOD$T--|J;l)nlTRe6DG8=zC|R4_m>f$AwaM3#^ok^OaDc@g4Sy8=G|VmZq7@G(
z{P2+PNgr+X{lZ5rKCq$bZv$H#+Wc_R59THa`#|M;+xL<0Qy;JNS+)AkGbPYg+F!c7
zlzYDvj)qQ#=*bYsLgr97v?;VTbS88mB-dz)K~n;S)xgK0)B#+iHPRR149|FBK07nk
zwt$JW-~ws^{F0VT3oY2M(;45<o2qPLct&YWan}rZc?P^T17=jB0-51O@IPbs>$rN&
z;hIEEM-5lQj!Q79hV2O^uP;@zr&uTOV`v)fKTbi5%b4xtI-V4=9lLO!;!*M}PA;3p
zLX05$L|#x>Y^G8%uh&FYQyK2b;+RMjP#9z81N1FrY$vlPw2Gx@NN^@jAr?nF6)lP>
z+9qB>buHc&v1PDjsAWsbkrp|@;84r1mT?T6Z;>mN^$@RT7EC>}VCtC#Q_n1z`u9a`
z0Q!&uT%b8{h_(`X*|vW+cOb}?D@I0_<`(Ek9uYJgZAj|g`U!%80o@sP;(*9=n4L33
z(LNbw3w>Y&F+x!?nPx|P8DDqbf`fLnb(?g|l&i<jLUu`%KXtogZsd*-ho$pC{Ejda
zh8Zjp(j1X!WZ*I_Fz~PEZh$zV&LS(45a=|{z|~$Slgp-$+?r^0+`?A7Aso)H`06-9
zQTn*zFd`4RzGP6TT-T6TuI8Yw?n+z5yzSqgJMWu^7H=NqsY2sgySM4#p8os9=eN!r
zo~aRfN|ojs&FICaJ|AB3uv4#4gq3o+`kIK~E3WF)TkiVB`r)4qUY9<#VR4b-^RISv
zEuLI`;AHE_$k*6Uv`aoe!he~2jig8q_rpU(C&5d7if89)4NNqUTk~AcM8u2eWRngy
z6~T=FA6oxrr5e#GQfC@=7r|~FyA(VjIuL5!GZR2zbaisYXltk#lu<C;Qp74l-o`d6
zvpLntMAB-pr#LT$L~nUHIw&fl*JMc<SSFJ>Wz2I40u^EcUxqs{uQOU$)M>;)w$#mC
z@bOHToC)jNzTEbWwpZKuW6i*e5NxPvc)x+`YJg+|m{YJR^;U{nb-2}EZ-oM@%Ss!q
zv#bMF&RS`(b@D~P7xfoWjY<c4LD#OM)~FWLT8DP6_SafIuF@{juF-Pc&uU-RQkfR4
z>OyE+TlnL`Ul($(7Xn`h8lfNuMtGA<WmZuyqOX?uN_a#0wvyH;p<lUNxk1TwC}5>x
z6KZe;*c7iTex=~pEl$5;xnhGtP~~n=xMT9S<QL?enTH+xbNnkjH<O`39NBvs7|xL?
zE-2_TB77>A3-D;$r)_joJ3Q46Xq_IIot;g^*@LsU%-%J7eD;air)SH_?B3Z!vpMx_
zh7BBuP^{(|Tt|}v*Ce8z3Pls7n-msTXA?6d3^+iio6a}UreB!NiT&Cn6ecB=0z~I2
z+3yd(6LiQrAlxBoARPaWN~<HWt^+#0Cezh1ZC{5odk}R^-M*M_+J5jcZRFcGBf>I7
zq^ZY<$i5iiV1}#(;z+4YEn8b?Oa2t4C4Y+2l0QXhVW%kbP=mDG=}{k0A6IiawO3uK
zKB7LY7KoY!wy1ffT5X-dK=2G^X3Rh{BL>wZwkt;abTJT_hs3-wF*Y7M9}{d`Y*uW=
zwEoFyg`A?1&P8&EB2ujGXoGYCA<-Fj+Idzw;Lja;R$oADl8-?+f%>P2op&;Qk~<3-
zkj_HLfCMchZ89=^2{Yv3#-;O5>AoAmOAeGs#_qqW8&+HXsyi2fP$Getg5ifkiaMu|
z2K<qKwR(!auzDmsA_0<szmPM*h(QH+t-WLJ){&Nq?(&XwQ`FyEzUsPZgJ_f)M1yuT
zh?Fu*F*As^SKKvs*+X+@J~F>{`Bh=cy`~vi@a5j}>%P9S^TDr_l!VJXdVTFL|HVow
zeK$!j*4%9_l+2{hYh&%#e0OwU{OV9=bJWgkrn2lOG=NAXMBWxFg^(!}3ULMw6b4tP
zB?R)&6(MTVM$mkWK%And4~TESHVB35gAio0Y9uP-{(_=+v?lf@4e!rm5J@Wi`|O%&
zsnjqb)a>K+EQ6lKmSTi{AI~I+XA;DZiR&3q#>VVh?6j1#+aqYLhV7SItGRvaGU>oQ
z>XMm?>1e4+SX0W(j>Fi#2D#1RpQndy4{UZ|)4wxCc}}izufd@gUY8XAz5mVxrLvRj
z=j$-6G_%o6WIy46dxa$6FJkeNde~JD-g+SQ<MmXjt%s|T3e-iQ)}!9jL!ZH$)A;QD
z7k!GeqH^ZgrXT@9r{0nh5~c(-$OPznGJ%>NmHgc**r5l3WmvHMy3U;(`*jm30-^`?
z3_UE=f{fqIQ=h;=DVk`4U=nEhN#R9-3IhC9KpppWo}Nj-_Ch#Z2--qW7wXh11*da_
z_PhP>cun#BwQO2FSnp09Xi-Beb<n5Lflv1b8G;psPUQrnlc_hg&e-WR)vyVzxdeJ@
zpk`lyMFm(?0gFNm64)0l+*!c3tp%mYL_vX?y<}0T27-#@i28(@FVd>v>a=<fsv9n*
zKBvyAIj!2GrW$pWGZ8Q`DKRlAF^!1_qUWO7D7PgFBzihZ?Oe1j`h{l6A87nUpVS?_
zbm<q3$JqG>vuWN((jAL38%DBnq;ym(XC)yjs@5lyx?`-Ks!C?pOkaxT?jhOLWA5-Z
zrwJ};6A8{R#ZV_95A+1`w<Q0|VF=n}GOjz6>?tmb$aS>5cwy7k9);52*{oEK-S;nt
zBHW>Z)PqZ7)lPlk*ov#?d};A|_ea4ZnfyPUiZF@PWIy2_M2YO-_J}2d&WXz`hz`db
zxx!PLk}*fnp~EwWV@}Uh_9N+amWbIZZ6SY|L?{qury+jy$k}y^j5&gpK?LS-rMNxu
zY~Fh$9ARM`=U;D3q1?JsGE^NA={*;{xsw+_83D5@0tLm;U92;hJ8c@Usd2MK5q}C(
z1)ESJye{ys%V47h4*FrHf3=?~{h)s<47($5MQB?Dgq~1OZO@9HCwm0L`w`$HVEvsM
z<SK9}!?rMWJN%&bLo2dhOTHqf?`j{d(EzWh(X?q^(D1Hbs{y}i^^eswET~Otnlh<F
zYD(2{b&Hx)b;+PhfFH?0uE1_fy%VG^vX?a8<RQu5&C^*NsJR*34(=81$DE+oa88aI
zcn<p7xH~y|CkOr9a_$N41&&Wez%E94FbSZJ0NUryNLhr+gs_khIK6f@V)fZj$gl)u
zV1h~@!fJDNazW#Mi^cJd%~UmGe@*>62~+3(Zb|#%G7aKPBuavSTG>j2P#m1fzAdTT
z;Me3zC{^mrO!b;2OlVD+Ujah2q&lybt65t0-e{6dU2^)cF}bgcg}d^4ylY>xJ8#0c
z*&Hs!b?6?`a!~?NwlJe?VMfQAMXgv~nb2yXZ;p1ec8~UemS2hv#h5})J6pSoB5LXz
zoDH$rb7s?>v-iwCJR9TFvzMah_-sMnEd7wLJf0Anfi!!YE1P?p&o>JJjwQT=1JOLI
zIk(a!b44;D*rCD~pdxD5U0VKUbGyX!W`UHs6Rnizo$gz8#}*PRTmN|j=+gR^jG3Zp
z>5gUi^3w=1FpVPeIACDl5|S9ny+M#SpQcYxqzog{F-BCn&tbPN10?z%-XxGvg`_<Y
zSD1|K2;&ReM$#D!IsC8cWWGU0dpk{``Q<%3XF3HMUae4UF1O#PDNxrhX|CzIx=i_>
zk6cl^v|iuRX3!g(=53glDf+|GASw}sLVf$s?%1?yUd+^-tm^&F|9%e3&eX5?{0ID1
z-1kW>X(4m@3Q<>3#&-BJ8^Tw%xta3k8iI5KgAwT<2vs2K0#83=`p@@M(!ZsDS3jrf
zm!!dD?JTnztet10pp4q03!|Jm$mEp0e)Q`ATx*1fjPRQA10&tq1FJe<_bjlLLVE+;
zT<~bYvjrTd1dU7)R?s5CgKZWwk}8?w${z~b^SmQ}GI#|$BAJPv-9b>=Ku`dc18raj
zyeamA7LrRAgCDJEfHf_!G6;XGgvC)<TncYp36IQ%U)f>aENGuKZx%h%1v44W&uR^w
zvzi8)u5bEg6TiG3R#(EA3iy=^wz}X~ZrEyruiHMe(Wq^P?d!JZY`oFbX6iScH1TFr
z*px7FVbehqeb)qklY?5hSb2+*Q!ABFP^bXi8pTHn+ND^epejYFg6aiJtp$zZxC3}{
zm<N1hK3gLywFzwvh}xQ14b>@YptL3)XzdOL4Mtq$N`uWntF;CYe_?pf@Mi;;F~AYS
z3Bzdv7dC+5;*nMuYz5NlZKcZAZfm%_lk0}Q_q##S4c=}Aj#T$U4ri(6y%Z=@wiFF1
zQXno!L3IjJ3WqC|dPub4?tV%Qz3M^rF5K^Vg2u$4np3Mqwx<+g6>@Q#h$>hFksXq}
z6fEh~ig1O<E{Qc*$CpHKi31`Pr|6a9wzy7HT5>`Q+Ob$99hnp1h9W>B-biI+ON3WO
zBHrMfKqop7n)BKmI;RrNtY_xHoX=vGot6WZ;}+g)0b<cvDlMXA(6YrcZaHF66k57E
z7j>@b<o?_Vou9qrh0Wfb-aTH<TVBIAvi}99gGv|&9uZcfxiQ?xH8R1$t~aty_M--D
z{PasQSjxUTWmGFWETaY@tCUfZ-QS&-af7lgGAc7C;F-js#Onzzp<{1=DA*eypT^2T
zTYj#b>dM9PUFGBDytN$4V<S1kXk_GM{spNKcJeZUxF(roIOQZelo>h6&Q#DM8XlGo
zWQy3O@yPJ!BgvBpjn7JFEjeT9q@<6|Mn`h5J2kM=oZS6%&ICh~DTi&6wis4r)%`Z7
z@uFu3299CX`s5NsMN2Me!r_6u-IP16jpoj5M=rZ~&S}g1AuUYD4Cmex&fRwB-V_@d
zzN7>LW@c6e0=Yw*I_VZ##s~Zrw6-QuSI16wa;}85;)2oq#hd!zFQmD*^(AAApQ9*I
zz3gn>@W7Ia8U8CbpI$TEvGd}e9=Ym~(GIic#jDC~kAL;rj(ZPu-a7o^=jqC|tqX74
zv~KY&5PH07QS#|~R!_{kVwl^YPaEnQuGqSyK2~8Z3v%(>I&b*(NO;zlTSHgIRyb-y
z;hGJh2NzuVz=G;4-*3F9bHgpGp8C??KUOqcCk}sg!GmpW%S;T3g|nZ?-bExf%)KCH
zIj_%`;+ey-iz;E*G#nb{^fEO&XYH$vwnu47-Gy*O=n`m(@8W5S>*8o#&lNpXrZH<M
z-)-!s${t$}ty9730w~ZSK)FhPot{1u1&x=1tf(;>jB+cLuu=yr(Pk(z6;VNDQc<-R
zAq+!hoibKRCD?^hfz$9#zKoxKb(QZi_5^!4y;=ofn+lXFh--?VZ(R|5s|d`)@L>;}
z(ZG9ZC{lyD01O&1mw{0RX9O^CecXE-XXN|&_j&G@YIr>guWR5a2gX@&bQWO8#Qm&m
z8kyd#r(T4Ctv5%uN9Y=K9*uA}b>7`cSEKVtC&v{TiULKPQmICZNxe}$rsizC3Q|v~
zUQkh9WmHjBdUWR~^^B%R4~!lkJvEvgm1##~qf0S%&!|v9Mj_ohIyg#qjb=tqjGiCm
zb)%J|l#F`O&neXk99R2(m&^B#$5fl%U*GUf$~1p)|H6TH7Mrf$Kg2MW6)~2k1iDKk
zoK*ta62w_0P+Y<cH#;iOlCNoXnl9+>Vi{~*knMs$bpe8>(=Ra)^)-dgIsG=7lff<L
z6p$B9qz;sI)7EjFHFt>9$Y2*!EDUxv?rmQ%onZmXuwZZR4J^YA(>U#heM?w)2@4xA
zyky_X%Pl4LejL+KLAK>$3>xga#ex{i5o0-GW9@lZ*Pg#XZf7}Cy<9JWUY4zwW$PUi
z$x3nMiIrTpZso3(R9xAMj3X;`D=SxyWBmD*G8?yYWaU2`?|fl~U5G}}i*6o}o%sTg
zF<LV41vK*q^U&-pJ6~ppKGO&dy_aFMOF*qCZ|@I(@pflk^++epmoQvT<y`(5x%A3s
z4$tK-nHW+V9smjO4Gc_Uyu4<T(3#otA2FJAx<mghM*ClqF2T1Ugl|iW?Sr+;cL%qX
zUsE;b&e;Vr8eYXfobASf0{0C)i6z|#ybLx8!mS<4LpaaMSq;~wwU-k99ky$^`l^u0
zdF@qOoUXPTwhXPl9N*ozXY-ZOc{8uMwd_yDMgNTMMuu<hkF_@}fAHTWUIzVuxUy$u
zo4HBS!ml_)(zrN`sM`LR29*uiTm5Lu+n|6Q3rq%sxx07+dPI%YpK4}K3v(K!+f7%h
zDbLe+PVyY`oaQ;l5JbevUZup+b<C+}PLeq(=FDJD19Jk>3$PZp9wZ)OJ9pM#NO=?{
zQ;KVWz7;`O5dam1kLahAssKKMPl2ikd_+DaR3*Yk;-?~2HiD)RK5qPbBh@s)$4!54
zqM9^(oc?>7CYxY|ABNgM+m>#ls*)CH(b=7eXB*+!CXhE<nj_7eT(lt8Nkd8crZioh
zh9-r@kx(>Qn^rY(T}?2f3GQx!k|t<qgqs_;H`4mX&PF=F0pv+bk|yimLLJ-`h6_PR
z2BF<Q&ric%X!k<D7Y@2X<}^ELy%Qo9h*01Z#L8aSZv!Jmr%%@g-nQPhp|&G!C)!T8
z$#iXA(b_hM5nEW0v{mK<<887wgx?d0zMq%T*8T;e#$BP+Xd8(lPTN|6-RqKAES-MK
zAsRhZaI^~cRY8@P-QHLISP4p|9JLryD!FH);Eh&BX_Un|&6d=hC}^X{qo<<hqI@(O
z(t0tDXhEr!{*#T-(uoG6Myoa1{G2HrO33BJ<JMG`y;D(LQc@(yAuiuvsCq|3DxiXu
zP=!kp6<VT!w1x$v7}RJR8e2#s*<^x6rkhP~o4EBR(3*glbSApR1T7}0F@Y(>6e9|0
zh*`B;P!K}wHRp99*bstX=!p<*4c!rXFT_=cpd&Ot^i=4r(3z0X8v+s<3=M^Lh4|2w
zHh9<eCmYq-w%Dl6&jw%#3V<JUe%R;-nIDM1*FWgz@L5QU+tb((N~rv{3u#!MhArtM
zX*!r5N@vnsn!nc;V|vQ^lb=|snO8c<X7ANoW79Yb6;UjIEk1z5&tBe=Uc`^G7wtb^
zG9bOrg_`j#>7A}j6m_a-OgA=e^LvbbzlS4ao6Tgj*-YDniYR;AtHR3I!i=BgG$$Gw
z?(&B)XDHp0Zfv>B=El5kmPx@f3;EnoRBeq(ppv~Iz>d%dkVgmNNCP7at16>8eJmZq
zE}g!|%l}qPy2{TP#S(5Djt(!$U;d4-7aFJkhX3Om_avv$qXJjKGtJ3fN<^K?@S??F
zwj}BdiMncw!BQuIz{_$JQZ0x0GQw#oe0y8?3X9#{Ay;-jyl<{jetn5+!0dNaJy2U-
zwP<u<cXMaipi;SE&hiBcMIurazqb4epLR**`-AJRLG$P<|2@O5QYcE4a=EfZ0cMM3
z`Ni*bFK@mcW^Vk_pDzCHH?KYOuGeei&?b}1F&j0`+Vsbvm#?b7l{Oy#<j;igq%C`t
zw{xG60%9i);-t?WA{urQ%-#j@N)9_U&!5^z$LI-^O&Plz6u<-_;9P<X(i>$^s)ifY
z5E9@^0(@wI4~_7F9ro*9(ovZLl+t@?v(Z>ysoSKZXLPV!0}pE8H4SXkjA<UyaDwJZ
z4K0*W5D!wAPvM{)P8PghK>w)uOhZkYc^Wz&ah>dfjE>1*g={0*FswH_P&Kf3k?A5k
z{8a(-&=_@#?jbjK!hPC(-p&2p29Ma_D$8{i`d93f;co_-(82x!P^xWe`iSxwC4E`}
zPs@N8i~^m>E#y{n92(gQ3Q9SE!KrfadS)T%HHblep?^>RXFaFXKclCe`UQIWo*wiX
ze|bv(kjiY$TVht}q|zyIu^JO))~Br0D@Tk(gBq*TO8;&JjTI`a5Aiyuv(Vuv44Hsq
zN@3i@RSKs3eV8eKA7+yF7#riCikonYFx?@_-SX9xxVN}ztJhtLPrS>0#4QlF*PX$q
z=5<;(^l9C5+&kR|+{fKQ)(u*>$9>q%sop4rnT7C7;h{oW$ZqQk*=>EH2J0_mxAld0
zh=k~fH~%|NS(qa(vT_<x<*)0di}Xvs-C=3@1omUjfuiZ3>P+Xs1O!mbCPS!|dv!Rs
zc7~@fw4{Yc^1l^ezn~c&o;Ed^mWeJIxCERooq9(NHSGF}NWX**hwG*dFe<$j+;+{M
z_x~Ie7k~EFJ-=D~-Og_;-}LDIZ{B`C#I*3nmwx;B#s7QagNy(D@Y}E5^V_Yjy!uPf
zy$bcxFIN27Kk$o$*Gao@rx>)9;Q*PLV`7e_jGbJ1EtZstIY#FA^ONPxb6=i2^W2r^
z?mYK=kuK?cSDw4`+>__tJon|f^pjwAB`n=s8JMFsvMU_50StBt*s~vnDsn%lk$&Kr
zdv!;jdu4}R?a0`{mrRp8ZNddDz1<^mA%9iRvx>4<x2zo$0K5a2xCI0&2ne2Bpmu}G
z11c}5eC+kXLc}OW=tEK(Kq-SpJ^WUGR!_MAnCu`pOb%+G7SNl4nn7;?^e>NFS}e51
z3N1GHx(UAS2f?tyKns;7xZ=rnsBM3!{g>^W5CEMkfGCaq=5V<(@T&k-2Ef{F0;MTw
zqCuGv=9rBKjkLoE&j#S-B6wL3D!pBw(s$_>>2KD*p?_PiFi*(dl~LYew7hTOoL&Kl
zP$`@cxCk#m>v92Vgbl)j!V?02QuqtIm@*0N!aU(2L9_~584s-oc^rWv{&D{M{Lgsd
ze|V7Q)Mm@gDROoSJ!x~WIg_|I&wY9BXFAV-9=#47ix(X;bL1?3o!OkSi0I(5H>DI_
zQ20S3^LO}<`8nLKOSbwz=7WV2>+l`(aTqF*dEx&h?M>jLtj_)M_c`xA>pT0tW!7Yp
z%$k|ZWSbC@Oh6&ZQa}P!5k#sG6s%fHTmY?FX{)r@T5*e8EwrxG+seH~Y_Ii7dy!kW
z3u!ICT1!h?wc3{Ccg~r25?uQ4@ALVG$#dR0^Ug4tIq!MC&-Q(mjt3zYToXJIWHI29
ztq^a-UkUzV{7wF{e~$kuKcCb1pzn7+z=O``%oVE+67upV8VjPs;Xsz#9UwTiIJP@5
z7I47kv}4$T93&Ud?y1^|r|<!nuK<qEI#4s%A<Ns_?2GJd=kM&GvAgX^V+UQo4K~|=
zx4mNfjg9qOWdn`vOSa$H*ku|UL|7|q#=qHu6$ER+iaJkN-?t*G7!lFi0=zALD5A>X
z*dS5{gM;b8Rrqk{;GV%#gHjM5>>E5hczlpwIS7Ud{*31vfHhbQXrlo(8paGe4F?Q|
z4g4ts7+eHpwc=A;PW%CmxnQ5`IL1CMht;|x?6roi=CIdc<yeiklFSsmx(R7QL!P2w
zV5Ttw)BB)tHq4(5vx#*bVVd#}wqzz!Hiof=9V@-hdH?8Ty=5*OjxZ4EBiCD>8i(k+
zkJL>6w&K8Z&BP#Pnw4gxX}&j-C8uTU1zFkqBE)!&5aTt1jo0$2G77Whf%1ijyY<Ws
zm0F-=SEIJ*k(X$K{K1i|DK`^S-gMGj>PenBkxHsr@&*inAd4{>-c%3OvJGmXLcGn+
zlr65Pm4M7R%aX}@p<{BoG?DJb(}ru!cKs;osfQhAHho(7F*=>dKxWk6T1Chv>QAeg
zwY6<~=4YmqvhI-kl=Q0UaD>U!jb@;eDB2mk(c1(umO>a+eM-K=bU^)c7Hz{%j<JhO
zjsaQ9w%xbkvuz;XpY=xXyvRFeNn`)l{$;p*GHJc%WtnB=xXfBNo;SaH@~>aDCB?!r
z-&so=dv3hqUj^fVX`Ol--NOBaX@>okMww*l`<=Gtst~q^(VUyYusaN&58oI@^TR8{
z8^Y|@gHQ?rRRUIDHApnS*-}#qc=W4dfTkFGJmurAQ!X^@TIJg4Vi$+kgpm-m2T{Oj
zX(lukhby1M|J6;t-9D6V#cu_)##UIBYF*iijIF8Gp4PitIU^QGAMpEv4S2g);H%iY
zRiDRbH7R<|&S_Dz+1}V}|GKtQJ}iI`l;E%g0dnh+kmS)3jt2=Vlyg1cp^RcpEmhC1
z274souyb~SA>mo3Vs%xSgxP4K6><+K@VxShf)w9MKaBZ-<ToQc`V*3@)!NA=V<(r4
zeH)X2eTf5!Qwdf{3@6aW#LmQ?1e>5X2}#+xMmg$yiFltkjb@Kxl<<5ms~p1f=8|%V
z6r7w)ZX$*Xh7gBFOFgHLkjliD6jGXah=$(HB~vapofEu*8aA6Y0AN6$zcHgV!iX9$
zA=in8Wcn#_lI_RZ>*a<GB1;hmo+R0RZTVt>)TW57;)=4cc9v6P$d<R{M2nQ`ZeJqk
zJIZ|}r}MmgVS<CkmNIK{Yr=lulaWSi&*aZR5Ese-lk0B%OeP#LEpWaz+-@?%-5g#)
znyC-CuVF-T7CT;vNF+{Pi<m3*h&dmr$J4og9yX8H!{(AQ9XoeU$IeOEoL9r<zpa=s
zOrYU%DGs)ehRg*TGS@YN8a3}~gj(QS4=x>vPur@p;1U{zp9<VhMcAx|r@}B4UPl$U
z`DlDPYR;V%IV*qG>a*@YBWjLcKnp%O?usM7Ck)y!^x@%kdSvo8EN?)0J#hNGezyJz
zJ?DE}2l%Gdy{JPmUT4#xvP~D&A*9RdX6abX91-RS@Dm9n5;do9jfT#j;^AjJl=z!?
z)Wx06AuV?^_bm4!$C-)m8Cf_E7R=`01`ZZ-tGWBRCpgZHO&y`qNW$e^iJ6GG5EBZ*
zbi_P8uQCs9oHwQh%mXfOm5bUQbUM8g?lS`BFV6+zTrkkMxrJe()SVjzV-%by3W;bv
zY##lFpn)dMr-aRwe;zh}vKBQbU!smg%xU=izTSZ9UnM}LvK(Jqfo%%+iLkjs!{!Ps
zn6GSA?pF3H+)6AEo-we>Jmp`8&5gZ4Bj?VRY=P;81^;i+^A$9c<(~%7@g@7Q0Q!l#
zm(~~fWB~nrEI$!KSK~?l|0C#X+RaP|{ZpL-L}%IlRSf;poUk*RYoSHEuxg7fszuP*
zD2<>yt|k%mky*3PTVeT^n(MFq|2&2sUDC1e`~MGlWRa;4+26B2VtUZwidkER1)H%g
z-~gF#v9%zZho<&hNa{Z}I*NGR5@)8Z&Ou{~;aSQ#V^O2qcofx<n(n{A2eK1n2^Pef
z;bj{fD#9D>aMS@OT7d7gbw)ckcXAhYz)%^Mm!Ra-8LO9<ZYZJs?SO9=wi8yG%UZ5)
zLCad8MZu3=&<rEZuqC-YiH2M-)B(F1AsU4%qYp>XYR?lM)a&_*2eo;&d0z3b8V~47
z?xk+D#tlnd&__TqEOtPn16=l!eW{(*Iq}YRlNMasMr}#^u$Gf$*e|{+BD~TKWQFgn
zt#CxdST8Hn<=<v?RLy3sF^JCz4hQ!IStS^3DK`m{Q)};#ZLIR3r4ou2EX{s@*<x#W
zFc9!e*eGRfJX^3aKIrk0dpV3#ea7^Ixm<Cg&Bi|1$xL+HiduUMexata48vL2nBAG(
zmpz>2G+D@M03bD*!l;WlMe*`KNiPB7m^+xH{1-=)$&=I}7a(r7hNfs!OY}yM)9Ud!
zJIdu7CBZ6{OOnuHx9`vvty*nyhoR=4BgL2mZ{qtkAKX%)t~Wx+l&U%Hvaxugv8k!0
zTrPD)JKQd((=JIGQSb;3r_<fk6iYU@*jqGswTb0&XQ{oYEh?hnnuDDZ{%7dy#CHxJ
zl<+?TIV7_O@q{9(4|jGhRnu!#97^4NHD}&*rH-28LLGa_X<y$*z$~L))(&#Tp<<C%
z;)ta5rf7FKh@1hMf+#xd=9!BZqfLRu2hEZkP4z9hXOZQK;kZ>cY9wjR)%`o>^bFmQ
z^17QPDdZpS>ol9Xqps)94#gyCPC|G2xeL~;eQdVgD#{57Y<(BKu+@A20xO6Kjm};A
z#pdCaKN3YLA+d&e=TvR>;ZkJsuS<<mqa=!J$L`!b`L4*IsozcginC)R5NC>P<9^18
zH9Nk>9E769hYvKwAE8sswzAfVg@y>32)ymT|G0&c{rr}|$2`FTPPeCAV=PeY4lFEI
z{M=eD_o>I7Zj$|Zs&YL(NR!a8Hs}xF{{V|r5HH(QFc`wZX2$}bl9wT7f|wCnvd~z7
z#vDnZ^HpEqK+e1Jjd}J}9Z7I|T~kYq-_inGoUkZ;NBV&@`$`&i+aI>0-L{8q=+{NK
zz;u}jEw#XT*{ieYH%`!!Fr+t7eM<uxvg3ROA1_tbDd-&qtZB%nVSV$}&B)+|OTAz8
ze%Z^u;`ogNwK?8%AWpF=5oNV<xpIRd$aioM<@&j8-18h~b>cswNZcv@Ji*n?HeWeM
zsuH^VaIqEE<l(#=45eU>AO2(n!MMe^-N*{Ym=T#OC16U>GhEtP+EZeW<9&%-tO;MR
zdaMM-QmQn+w6(<PeVpGN@VOImYuh%wl|J|~3q}?zQlj>aJfmra1^?CxJ6rd(qE=#Z
z>;0i>YtZE@xBj==-bNh=?lKuGX8f%d+F*Ix=i0u|#<qRKpk!1ZQbu(UX4HiF3~>;4
zVPiOR!&Wm8=7D2o)@c5t8Ce)J^aRZn^D6UU^C>e=SO>@fXEuj?K7V6~7v6!t0|N5O
z!5|55{k9Uq2m<a435|h}+(?i@BS8v{+inXz7eX6D5aMo4ZKBLQ1a1?(Jfe_-U6Qtu
zBf)~2PNj}Pl0834-GDTqt){0*q6jJ7Q4Y4(P<T?+xN0WHNZs~ap<c|JMn{viLc9?*
z%bw2Hf~KFW!K?kSakWs#Rwomn1v<3kjwocJbuFZbN3GQhHwb!}mgiV5>K*MKeRM&8
z$~$=T=(2%LUFU=>M9=#ES03Eh`Q>~1wlBQk>wKSFFUy&7t!)Z!eD>lCpXzAHUzm$G
zouz;3x5#|p(xr-Yx-fZD%GZ&6<Kc_%TfCWJ8Rhf=ZVvka)6WbrgXm|K)=sM{SneXC
zn}{AFDn#_s2PC{uyNT!_B0++O7^lb8k$Uj(S1+hzNUh`%=@_YLTpvEDkc+&R*6k6|
zO+*h7GFeS{0czAytByK#)T^URR$GmN=3O#s)lsL8v|RaZ@`6~gKQDr-0bC()1z~$&
zR{(K-xWNw|J$M2jHNuS|+*pCD8Bm6H4x!-C@X*GgeM85Gc!dt9hPc$w{2@e&Zr(Al
zjaq1olbGag8SV_hRTA8(gQY#|deABfUaf$p;;uARF0OF$;DBwc2*qO8%NfXI5{xtG
zJm6%V&S1a{X0wi&ZDa#%ie*hKPY7EW9u|!8u#N}*SAp3u+cP*YI1pjcD#A5}Z;?o%
zE2!fYsg!!Kke$f8l?NS`3ESa3<f-Dusyc5xYy+ys3;3SR*n<s^L{~)$>I60dW@7{v
zY>3<)*&BH|ax5|x5iW~>LT<y6RS`B48LFBHRYHv=3+tyGgRh{T<R*MmYAzs>7EYA6
zo5sj0U0pXOBGyDAqLZW@k)SmqiIHI4F+>$L)zdCgH9O)w`VuyEQz@or<TTABI7F;p
zAYrpJe;MUaie8BrCBsaZj5?L5S|y>eO`nc>&-@{gFG|%Bi?gllM?zmVE7r4iqG@Y!
zu@stlkQGIi6tRG%rNQLPlm^$WipB4Cop15alH|*-{PNk7sJ+nD?d$1oX!GV51m$3{
zNt6~|wysB#qRokm^5_2_|I%x#J#g%u(-R8^+HU>R`jzmdu3tN>GFGirzk=veOwU%o
zb?4CL%5_K1O~`gd5Ts`EV6z0~)>k(D&*`@Y_6!O%8Zh<e$rs>O<}{;cwpNxM)d9jg
zbm2-Z>_?yxc}B<U85!_RFB|n6^vI-_H99?Er%N$xHyQUbge!)h&%kZ;=orH>-#?C3
z+4qj|u#%tR(cO5>5jxY8BPS@hAt`l)&y?iC)ku^`9nmP;&En4t?_(I47`h9MdL5q|
znCII1-9?kf*Ism4_h*sL<nvCx`m;F6epRLpa(CjrWj5JekYhhnAa!1`#xj?(rXnep
zPy<BLtSe0&O7?1sXx7W{fzF8quZ7JRLO81$ja$>CVFMa^Ck30=2wMd7l<R#LdTRFj
zv(b(MJX?6N@Optgq=Bb2@LxrEy9k9utg%{1Xq2k4iZO5%viNtw&MGifrFx)xxXKOW
z`|&3vVdEI9!zVp%rSf1OQH(lZl<0$riROtW8x0snuyJgc;FJWX@#Pf5n~L-e7ryB1
z0|Wm4{!*Nll#!i{Y+&*G{6;&-c4G9}$+L+GY`@RYOD1~Bgb`2l-dA#a{Q6Wg+hS17
zVgq^Xe5~6H+bT3thV`_+>c0pXtEnnds<02g?c-H;th$fftyEW4H&%C6d8RsCJym73
z41A<~sC{P%juVuil+qX@94H+wohpegmH>sPTe8*CVCf9|cl3FhqIC47TAA2r-3X?$
z*Bo?|oTUEsM9uK6B`MXpdN$S4lX_0Pf0AY;;a|Los1ddqhc8ptr!_*nTIM$a#Xwmy
z?6f46@M_glfQoe9fi>cc-C7jtoIGco7`4DMi#EP$*3jqA(IK{;=Yv%zk4*kKURk;|
z-8C!=Y|lA?%jayoCJ*&fV3UU3ufP63-yU1tR=Oy%VB_beQ+V=tdY|#cqNq_y$dV|n
z8O)p;Xd1j`_xvAEpK}?F)!jJt2e^WHlhHC=`x%a`WM6@j_6G0)3SyxlLSW`F`vjSt
z!|pvsuT~kumXk>)buyVrlkF;c26G57>A`_ac3|Mm+4;;se>OWnuBY78K{Up{%%llJ
z3-e^9aef|{{LVZ=S#O4wTE`h%Xxz^;6RgueLHOj%*{m^>i3<*j;H<W?!-<u);~rx=
zpjas)|Lv2+k$aDkT!GPenT(Z4DqS{`!fB(^?JFC%R_2q8;+=71!kcLR(ydZ1zJ9t2
ztsabhmjJMLsoS%*EP6=l1-_l8w?oPyN|!QXaZK;CHqqp$IUi=|)!1T@AR+v{M%j*Q
zu8uXFmZbi<4O#@Cu@o+rB>vICL|{siM!Ic!z)(>pvyeCN+c-`Vvm%o0=TuKjW_~<6
z%WmX^tRx^w$_kv$(!Kt_;pHE1nq@a|V)mR5-y^;S|I{D2W$gV-hTXZJkqM6V5yE9U
zis~q+Bd?B}I<o4B)DhH?nHi5);x1R&j!oOLgNPRLfwmHnA|g#hh6s<k2UuynF*XPs
zO1&uBMWL0II4?e^SnxqwvN+2rB3g;?kjHH<`ZyU~>d2^Y9Mlo1BPG~<4Ik`w!Q#xC
z%$5u*Q+`}IO}I8)Tm}}LpV^c_=chNN(a{#Lw!r&7!n=E=_a-m;rU&MF!0Le$9{8pk
z9FDkShl5>1c07FBZGY9y%4=*}Y)ESZ4R3{>%~tr06+X0rhXoA_7qYO9eV9cuyPJKL
zW#tlrs}Q_^B|r(_ZGd+eg2XzgWP-t1)tF1=ke11TvyuZm^o-?TRc>Q$XKqjKaPD|c
z7$(zXW>1dG(OP4Nr<x#DbqVq@CK4?&F%o6PO>yIaiUyl4x8W;LW<%tz8K2n`+7Lpk
zLcoNMhmeL&$Ms4z6mlC0r^=KO7^7kg8Y{+O<Ct-$agXtU@v!l@QEN1koj->EAEVLc
zw6mTTo@ojOO=@nICLRtO44R2(JtgaDnvs=ZJT!|1FAv6}c#xf8GoBXVF%R7Bgq#y^
z<yI#$GEV4WoMX;YPF8Ua(*w@w%w=mJZB+F^IC5AuJ5x0Isq_6Bu@y;wqHI<ess#yD
z(=aT%gLrZ6PU27DX`+*lK9Xr^QT;Czu<_GbO>}!E$xJlEh(NO>r9mMSCTdnwEfIo3
zv(cKDW3+yt+E6Nw0kNBAs0{v@m2}1rAIGQ-eIljFQT&ulCQ%evnCzbOk~I)aOY$w}
zUcOn9E^0_zwQBW(w6}SwB!8hh|3z8qh)0*Ka^7LS>rr?!<;OciQl^lLb(sAZOdkIA
zum5ZF`HIEF(Rn#3@y`AyUdm72h4)_X)Cb%b_#Jrf?Plh(Q2An?6_&N%*^W2|{<01_
zQIl2+J&$T(y9Q!r7%*=)pD?rbzJb0IeXM;pywwI=Tcj=D#_9@fhuV;kAJ0FPKa}U%
z@%3M5cPiF`xzZ3Wo15^GusEIWT8f1^;r5o74#1rQpc!xvG!5K2@W=qKCqdxK!#YDj
zTLfRk3iu`%!LJ#F1@6H+2a!vG{=N(QHutg7KInG=@4V27c&E)7b-w51ZnEsQpqsS2
zwP=e2?2g5bHI6L~E^nD_dBSqga>T-)WB#le{k!?+<_R<Vg!x@F(wLjfNUt%$f*+Xv
z)AX8&eclMK7=B|woDOE|7V1{(*g`wpq=B2-fp9xMp*^VOG$jSYu|pc9AwfVxG*R7n
zHVmH)#<Rgf>4IDvHdiB|i9k>9oN6Z5S!TxB30_fh)iT+m?9o_RSB7#To~@Rb%M*OB
zf@gY(n?i@DP%rc@_e=zG<fCYfx0Zz*RC3EP$XmUNfV@*x#8iXTG=@o>rdkc~Y{1;v
zGgtXP1t<`0=cXJpbW1FdEz|12BU)GS8THuI(!*d-pVp&_9`ybFi~7-EKiK=BUwvl3
z`pkZ^DaY|s`>$ba`)r48tYS;sR@ugEoDC5!>thJg2+&^|5}CQGj-5+$Xt0i*OLXj9
zvi;B9YE0}+pp^+AVa3yA`FAQmduw!4k`%Szdl-@(sRaWlKYbRPQCP!LMnrNI5`H4(
zUBUx^Wpae@BX*^n%KIcIoc>eZf2l@0q<S|tZ5m|=8Nf^p%8WOowyV_GiB!`1<aD5Y
z+VN>oufIawnc-(`Rs$QJR^^3)xy=;MV_gpRX`hBD*evyelu(0cib&F<BjG>K3-9>$
zsy$D9?v^zjiS^&OdyDh)+qAPUkfgF%3!F%ja6H+bm+$S~wrONgMrWUM+r4MsH~FWQ
z9=;!Id`Uuun?AGQM~#};{4Xx(-G0N0CZ3g~kj8C=c}rl!ujh;;6fJl9L+<u#=dNov
zE<65@%goE~Teb5sZj$tqv`zhizmMO>q|lPe*|HM^JE=R-3O1U32b8@O-`rs0Qm|lG
z3Ldh<!!~#j!6PYnfPn`99E3C25p-aM<ACcO<T1ekG~9saT<YjlN2;mKc2%=ek`X#`
z>f&P65ve1nBcqPgf$E@|oQ_BxK^+-&<jDVr-x#ZoNF6~P2|}p+5Fc<(d||OfAR>SW
zhKO&pJk)}MnRI3>vnR7J!w+XRW_D)SRAzqWwhX(b85-TB#P1;%#*@&Gpr3($7QWv6
zU^80d!g?Oo*<ro=W;ap-ur+XZU~hm81Y7|lY{VKAVSSm3AB*EXeuD_u=ytf8Z7eS^
z3IBLBG!a(D^}@Jbp3sI_Et_I2u4X1>V}(5q7<OzVb$yvMcdM!iiKC*YlVZ-3%E=io
zMGMXOZBC`GbGWPyhYKsgYi$mz&E}{p!5wN)p{DUhvNab(O^{5M8Sg{Q$@foxm|9A5
z&0(R|Qq)sU_!tYZGgTICqv8O-*T~0J86XkuGhRCRow9$OEbm^w`T<G0GF5S5bi{iu
z%3LMOd(-jzB&q6mbWZ+cU9-6vBJ9x4xG1;Ek|Y%+qfPh2-haG}cJ@J&-(}E9X*`Vu
ztF-Po%}h>x8L#;$)@Hl$n$I(@R+3yJ^ek)yrEt7}P8A>+m2%_2PrwAr+AZ#I;=SmE
zWqH^f4A^P1le4L%>bgJW1;!inqO^C|yU)vdW6c6tP9|(t2*k(`_81vrV=$_X!F<%l
zh=1J1P?~{h9&R3M-qU=%`Bbx@W1HKW*P|Iblv)|}=<CmpP?v7@P?qUA`Tj}epsCbz
z;sh}?Iw{W*gFkjl@k~ntfBVE0R45dSIR}OkVk{J`nH;FCW^qKN4`$2_#Q*HwE8De=
zAZJ9$B>iae#mP5TUnEK0I=yOh@L$9`&y2w_Fh1)sox}BnL6Q<D2C3B%(gY3feg_^?
zZ4P2@Tsav>tN3p+CZ<%0tN~ao!2jXlfAnBdj4UI`8dl_tie{%~kA~IgZeY1vQ>TxP
zbTU1TT*{H7nN_0@L#DjhT*QVGV^YixQADjje{1YFOSFN>pWOTyL?`3lgFk`i1gwGP
z9*Aov_nrRL<dMnG9M**>GbDZw8T=j;W?3b_MuE4Da6%6+@c+Z3r8>|k*s5Y#Mk7nC
zmO}ygZh5cF%EApR4Ujf~VgLi>)3+21luv(j<n)m<-XQtx$%R5`;LRol+KNRxew*kE
zy4YhkPyQsJy%WN3PR1dmI}DFN68T|R8;8+J<K&~0zn?VX_cuH>!LDZigNd;16~z#=
z*~&pB5Gebbv8X4Nx>f(Oo05nTswXd@WG6yH1mneql97OZqhz&`mF6smNuY&SgBEnO
z(8B8@m0hH6O$%BhiMp=wgFOf?em9R?+-?rt#KCPmd?^Sw0qll{VLz}B%dlAk4`^UK
zOw6Enc~~UFU;JS8ulA$W{>%Ny(Ex|+NA1Y&f%iRd!~h2kfaG)K^X31Le<AZo&dQtQ
zKg-;`GF&FXeKceIJqd<+IK;zx{%Zd3Jd3yKUp}rkkzB~%Qk&4#?83^UxuyY5Rg4Zt
z*+u>)Y@O`}p!IELN0m~Iw3=PjN8ks59&!K9{WmxJYwcgOXt5uT`cL@Z_p{^vr|1Fq
zn*g*0NTS!F%IB~VG%o;GVzY?krC|9}{#BlpU*bT+xw(rumXuyD<5(pIOzcz)nT;{1
z7-NB0Pi%f{L+n^gNX3BMPsN_Y_oiY3u*}8?L_$WVrQ-1vEEQh>3zMrrC>JX>40QKd
z4p@-U0+t^-Uvi@Noj`SDI$x#4TXAoo>ioKXO9<o;ti%S|)({&ac65l4X@|bW+V#qI
zD^R03A8V>we>Y|VlMy0DBh$ldVA#8vKQf4<kndy;Fo&7rj6m825#G!_46k8mC1TF+
zFMCM}x|gJ&d&!>UB`N3@FMQ1lB`<j2s=O>56A<Yb6cB`{FrA0Kk~lv`)y_UgXvSe@
zHme*ZRmB*d(PHIMg_1)atc8(CPS{9^mg!Ard)0D1C@`zJxJhuTrcy`+NiFxB2uj{W
z*{oH-Hd-T$`=l{NnhZ4{m7=~z^@wW3Z#2GCWLGDyz59(*jXh^Qx%`}OUSQG4jWTEW
z%DLx`_2w7dvbeCeZ++h&2rsYr+N$=|fsWCeC3#_aR{vd>EZ=+CfH%m{o(e~W^ZDzT
z0i=Jj6pTh|d>IYcZgG%Utdm$UE-&?D;0w@6gv*Ns?fmKSk@0xNVR4rqDZ$YaJY0fe
zLoie*G<ahLiqE|ipC2dZ7S*wxEOC#D+imVzkQk5clohgezp|2~fsi-UPQ;J{hHN0z
zr~~9;W3g0xxX8&0u@FF4a@qQug5&Y<MAR^DGfh}3?06qDk*~OX)qH=!+;1iXPz75l
z(2#0C4Md;OQavM9XbpdMDT!bLJ%>SiUGpV~=1cq~LpTZvq1dU44bRRZv$OtOQuYA=
zc?}xZB$EM10fN7joWW4JB>4j6(wIyeCE@!79aa)}&NWs!mH}gCZw8szOf_>UQi%U>
zSUxVFk~tkK56Uxo@+10^EWLNhaym$Rm{3uZ=28hSP>h#IP6iF@)In3Jv@c3Plh#!#
zl&-b8FjjKyXie_8=HSwLgOZQs$ub`?=N)yruNk}p*v2&FKN^AIY$l7{flp!K3^J-&
zvfMRf6UAudY)Sf3^1@!|fmaqS5jC#<4oNy^*G=8BG^=VBF-St$s|Q~>y-d_7Z3`qR
zfB794|45+ocE6Tl6S<5Yq?F9_ljom)V*M&sh`iHd*MiiFr^sn~fBCiaWOVZ6jvGy`
zg}|}%PebePvlazEOA;Bx_@_SL-@w*>j48s4l}D06+Tn`O1d*D!hnrxX4tAx+Q)pKc
z?9xF&yGx4(n&Gt+w281?4_0xtc!S8sgcAZX3+D@)1ooEHw^H9pv2(Q0n1WIY8e75B
z3g@*x+xlYbJFVR9t@pR0T@pMX0-L-(i3D9ihd_I+7WF3|NTPln$f=<elAYtW2}^Vw
zgR^Wp-WbFneOBYSjpsMAjbAZZ%xTJtiYL!bkEAb2v+1vJ7{#UW^-8f=f&j6<*u5>P
zCDEdqu`Oh+bz?JjQOheW=#Cb!w}8+x-ttrn>uR~C5|q<&MP4OyjJ#7mEVEu#F3B6v
zhSF^%bi4#g39|7v72UPfJ;-fjCv79>u5D{2?X3`~c-)H^j2Fketd1qDSx>utRd2g@
z{Y)HUlM3{*S%Ri#7Bk%_lLYyZ<;(QEcXCs*=Li<0ZvX~>@1G=G4AVcvk_EMFS?$F}
zu{*(p(JV(SRz!*FK5ne05V2Mx<~D^15o^_CvHGRQdf>=UfO%o<ipSpk-^=Iya?sI#
zz9e;+uyLx<`@&~QuxZV<x54qH$zM!9yZs9iBG^zfcmI1g@0k4H=VQql81x%q{){;)
zh<|rkzXjO?;DL7Q{r@$2X!5ni49A404hk~$@#io)Z)4x6Byyw~laK?gJ_ifBa&R&S
zSLgnoL)zSnIb_l0z@JMvJXPhHskc;oO-F+|>eW$)$BK*(G6W6jsL#Vn9z8{nl$J8L
zTgn=Bq;YsWO6n-8^MX3^>PVhf>A<R7OD+#Bp=~pf_p8(d1{Fr)#WoOObXtA*2n#(C
zIwG`WyR*`GKOJRtl+;mFM?oDa+uH|LN}|=L$--6HFJ+OC1x;fXq-=Y3NtRU}%z&5y
zr;vfZHJK9`v^j%eyeoq=i74C{fs4YR3I8sPbTVnkX4ZzF5C2-ULFjui2oD)yhXIlX
zko9n-{wDo?J$r>7L_KJljL>9&COtf@gC-r6@O7_)_jMrXcIn1-Pw9^8cx{tzneJlU
zRk}NMkLZ4&6BlVO)ZU?eK>MVYmo)Gb%`Y|R3K;|mOtR#XkY5&|Z>hLWM9TzFimQqn
zi)>peuMKB&4UtSPnzIonw#|w^N*nP8(zHf1`6O-gZRl<rtg?a4W(2BJJ!RT)-i2Wy
zQ8XZWNJmKzL5LpO4u(A0j-ULf2ex|d_8jxD)b;G~G&HM)SG1s{13znHGc;FZO`*9t
zDn=WOIbO?V!x^&MWR?dpq>E@%7N3u`yWK5K?05?^k#d?-W}WsKw7C**Ys=;HUuuBW
z4YxNSdjm8S&x@{)qG(|(cQ}WL&mQG+#e!<On@d<5;p-Dy-`MD8R4e{;&5hkz>j^S)
zGD)1?*q~2QgI+6&*F|&IXf&rY8n120SsNO1(+2&=eAqSSZdGU1eAx6p)me(z*@<tA
z8m%0e?h!IlquAb5cZrQs{57&-`roFSCRE+rn^c$Czx=7C>#Aji$$I`D6pA@;)YYI+
z+mYJxaW=$KM?p<HLI{JAW?3F;3T4-Ua`suh@My`^>xxz+>EcD><C3(o-Ej5kA70`s
zTp~-?e)dvW0)P8^+JV(0R(bKyy@f7%^2vW#x0kj%v3kr)GS6X&j2?RgGE+={(B&l4
z5^6-}!Q2nuBXsgpuk)|*_cEPGQ^`cgB^}1=ubl3NO7~bd8tVolC9FTz&1r|jtHOw|
zm@GE4I?fDM6S1v+N7pXN0W`sa8}Nl?>#)tWvGxRPPk?NI4-MGvnrlRVH^R~YoM%{X
zxZ1!jHmxzCp}@Mpm4TZA+zs(3;^?}>uM+5{D2yin>-R)o;<Ci!3Er82SR=&r5KF+W
z1eg<GH9TQJp2)Ki<T2fBde+3+ZSDpZjd$k9i=7k231c}`Msm4qX~D*}rU@I<P3ESC
zCbsLorpKFp+{8A0MQ0)W^c&o)-px1Q*KY7Nv^20?FE+g1@J<8U@D&T^_1y2Y*+q>k
z8v(Q+wxxo2TTQ9TG(|3=r6k7p{(~YgA}IKGH6towTC9kxXoFf&#^3-J{5l46VxWor
zXACtEn!YPzY&b?bmc~fO(irJj8oQ=)n*yv+fhIxeQa<+)+asxRR*%wdrSy<Ej}H;D
z$6P9>9Ldtwr8S!RgM>h&me!M{p5qfIl#|Ly5=<)1c)B*7p+srbJzdsyZb#}728_^1
z3XMbLLJbi_RAsQ<$+VR_qmyZ|#sfldAC3C*uW=c(AZvxmKTIC`-^n|F0k6U};5;Up
zol>jBvts0qU5lTdJaOBd5PWXIW9_na{`D9U-gQCgQWWy*d|KW5vp=&&v+g07^J`cJ
z-&m>bJ1R;S=gqzz-!~@T{QfhOKmLBmAN=fw`Edow%`)NzyoPgAA8_~a+nFA?v2wLc
zK3IuB6RCn%=C5>chXa1)fIj(aGTJV}W3C^%UUIQNbe(h|SK8^RN;+^!`z2(RV52l9
z?UUGjy%6YK*^A5;lTC>>mu+_ijbp@{ne=%QP1&mFcA;yW5hj=k6ibgcwoD|=h_#q#
z%OwL=ltwe)n`|~~67{fr&2HEe>}e%1jkY<l;hENZ3OXmYv7NABkrM_~>lnXx+8!m0
z*NO9*%03P3A#D=_nw1(>W;MN<4M^#Qt-X7DQBVbCWUNFnC<~ImJV-!UaBD>=07E-q
z9xt3K@H)0oDSX1=Hf>R;Gc}`?2Kv<;kQKD#sa_&@;w`eKl4OC6oKBVwmFg~`O(V(C
z8oN1xVP`}RC=81ir)jH1!DMoLv?gIDDWKyY{VO(q!FS8kpI^A^&IR3PndG^t>+gQx
z!SgPW>j?r=!G?c)EIokVCh=VP&P$d(v?XWg(wH9GapS!WXHUL*MwWo|X-NVk=faQi
zm<8i8njZ-d?`JF+D$5u!nMu88negP*C|{3P3dGQD#)5ppg+G+xp!tXy9V#6yp`Yeo
z&A**z#~n{O(0JQZZKz-#Ap7Lw^gI1!Wl(FVuFJu?5@^fo%U73gE^{(7G&Zznh}8`i
z2iSNx%r^ytk~Ev2O|XBIWm%im87SMn{f#0NErWx`fdRL%v2KVqk_FXxPiER=eTrDD
zd))urM_b8KCvBH|tg<o#8#2c-QyJEnxf`3EEH*obu-Qr85YncGz&JF2XzLLBFC4n0
z0pW1hSl6De<6Wn^1RdK|?fR7Ubw<Gro;#BZiKH4$cLW<fnIypA<TNf&>PaOvcB5LV
z{fuq;G4HRRrHuEcJo<<qo+SI3XxOTit-FC)|Cx?peR9eD7hU??>Hu%aT`oztFFk9I
zEUzdzw21Y7cH7~NxBSl+3W~bUSiSHuuke4|^|cF!TDva);X{z02c||F!e%M;#v`r0
z^^%Fn!%zKU$9b9VHKV)lf-!a7U0=&hX~p}Njo-$c1D95;=>@QF0Voxy5SU#dXu3i^
zezlRp;}$C(QR#_NV2IEx{`PTv)(~|Z;xmT`5z7$Ctsi;@l`HWgQ(8Ve9M<L2&5c}^
zNrEPsT^^45$3qig(KN0xOz6yER;uq#5?L$KJrFRG#X{2^`tgkM9>?77o}ucT!Aft>
z{j=uWKR7rm-B;;b)i>6+ukS$L;Xbji52CSjYxDh$Ju%oDdoG5Iv7Xp%F;*LM<cpxL
zAE@t6K-LeC^#geQ5L&`v$C%@|<CFvMPL6XOXRe-FkTk2%_N`dUWeHhvYUCACVREum
zqB-5UY;B{Wyy^AsP51=T!rMVkNuA7PPtawk)CRg+f$g8}KShp~T2fsXBmd}rWuv)k
zJt*f8tq!}5>Os7u;EDR4G#Ls`O45q1Gxj729vb|^-y}sNNGTDCy!N7}&%IQ;wRO=|
zPCb78oFuZGoE16N5WIBLh3MWFe|*WH?aZyp+IjISGh3C2pOf8+7pOQ;Yz^z?P5$CB
zq}PSo3zGbLta@&XBrVFe8g#XKst?#_*aw&l>Ueq?53Cn-)W~wGMwYWiZ2NfKTkfhw
z94k)zfR7k-ekw?B1r0GSVzmdI*!Uxi5e`z}M_5h+<P27&cEIBwDl71g=_7>%K4Qao
z$>V$wNRR0kIC#hp4+no5L=Tg8@!7yEEZA9Wt!H(fo6Vs-KbuEOSy=3a3xn`eKWq~o
z5RgW23rNTNz)URCN{hu_<#}*2*i=?>W4Qx4mdPo(RrHV~3yHEvbf93GAx##Znfgyk
zSYdRyY!j3ZK@)4Kigz#$=pj@D6<w^c;4m_cN+XgRX=ahpTx|@tG85@gP{HR0??~I8
zN*qcYO|Xe)fUPK7TVSdMS~eyj>Df=)*s+zol~F3nu)=B;w@YNxo{9&(>;a=^rH2?|
zFMD{M2bdsX;#pusDTKBnKs3L{ks}G27_c2(F>>hSsB(1EAwo^b^qfx8<hn!2TJzzP
zq_m3kEjCeR${N>^UJQDIJCJBa!3HFfr0gC1H3yg0D6F0cI*m$|NiLmfJDjXpKAY-|
z>}y3$pJv41X-7OxxrK;Z*@(iV<w(4Cb=U+E@B%J&b2QW@iji<bL6)!G^5#X$e((KH
zyG4)^vIa?T`I}p2OZ{J+{M+TJfuCHu%O&_ExkYxe(&UkE-Xuw}n{Eg57q`ofD}s{z
zZI`oIBpc^hKbU;{YqMBTwDRRyN&fySNyclsY3c)h9>#d{*{_lgzjXVf-Qh;@fr&7E
zTY`A`nu#zGp%7st!a#)32p-M?s}EY?patt~SZ#*qO~9MLt1-i%#{7sGIW9JV#snda
zf+v(m6y(qt@saTnBR(>~;8g}#bq<_ER>=yNugaU@Jv02h5%3aE`XK3tSA+0s2s$KK
z>VMmhc*!O`AhFww@PP3ZBWg75H~rMaE-_tXLUt3-+M<I-*k*y}@r~d`kOQF68o@wG
zgNGLs?CR)HM>^k{t<B@np^kd;LEMU$IcES%&;da^1Z^Z`NY=puE=qccaC)mA=@Z~_
zHGmv(MUWhJh0&m0UL&J55^OWz+Z~4I4euE^!3=j`)U1C}kG6zB2!Q^m4tD9`eLY;R
zg@FcG7r`$9re_n-k$^<dV5+{-0Ix)V4}qg0v=bv9Crz(A3x6x2irZ7ZEd)mVxfnw|
zq1!^oLYy%a2&F=-95RGhdvg=P)J?aG^Tt6WF=^5#(A?HL-rhaYX=Yhp=$uqTs94uk
zMWU;UdoW-ix~fM-K0Wsg#z{T89q(nGanQw~5{-jB4)4byehua0h`ZfoO~vIYGqeY}
zQL{mV6irZbK*Ju^Kw4AL3~P33ICAde!7yobc;E?#zp6>8N{r^NyRi~W5hX^`J5yUL
z%;50g*dVK82Wf$Z+gHUC>s8{7<P4S3ktEHbBcYs=wF2PeG{&a9jwMxrkz&d^#wOE{
zs-@W_llv|t*SyYRFkBn*SwjYW$XBn!SV|Z=Hjyf16)DjSpplVjJ`6QYp<ZN6c{9{&
zz0Q%esn&LE6TMM0ades#e465e4mH}1Gn^ro=|mx$6{{)IY>b_$W{iD0_WzWW;3nzm
zHKPXxgQuTZ@|~}HhrZnZ?bc94lGC#W7xv%&ohLMT-(v^&?OHct{Qt}qCJ0SL&wO#=
zy_fmotNv}|We?WCvLGyc`P54RcKmBM?C{wq@BUW_#CXq%V|;c1<Fj_KSK5u`mF3&Y
zY@j?J4|kXMmXDQ%U^!jhSl(AYP(EBfRTi0Y1>Ze@4|$o-6vuRWeG{QgecT@_Q{e6+
z%#K*q1RL3M<5!AI+eDGI2VKE&vf`a}<nAOZ+<A}UCkxzPBTBH8{rAK~;eHlcQ}<`{
z^^{*4XENfIxDo(9REG1A|4>oaD;X<3yj~TuUKO%lm94kMU}Nk+3>}Caj-gnJbi*TG
z;9I1}D(NnAGE0AFI&Tv=PL||p@^urwJ-6~kXHBDE9OV$|SST#m>R)W6{<XFhP5F3T
zeUMcU3UW`&vXqjvl5D+n_75fcjjb2ODaIc>P4SZfNp~#YZj&`~tAs@PyKo2G#cz|B
z9hc<gb3#VVufnJI|9G^|_HmmI4Jz+Rq4So@(w~N8i7?LDr(WlO%|FDD@|a;}IeNG9
zn=8{GECiRln507Y2^o6^8HIM(e4gg-8g!oF?*?SGUv9s_&T{s=eYX8}`~CJO>__Zx
z*(HzrYB$olJKS^K-*i9fe%AfE`yIDrH3MhPn`fJEH{Wl50^5RbnI(@OwEhnNT>m%y
zkNThWzvCBWPPkt{WdS&JKSGATA$ZRK?`go+-`0;%pSdsF$MU_PX$P~d{CpX4v#hg_
zwNwUu!B=Q0uui^jQ6KWyOCS_?6;YXQhrTD<VgD>Bm4-?vKYRA<)w5Z9FBEzQdQk^i
z66Ii|Dwn}1_rhFPFO+(RdYAUHg;_AGZ+1V|Q7*M}U4?T<oy>5RB}tU4s{5*(T&)I|
zkZr7I?!4-f=9aGc^Fx%Wdu0n!m=@?`S~j-qY&qV-X<B+V24O4+r0yIAueW~9dY_fO
z$O<LvQY*4P1K+Edb(UMa-|~LP%dYi8!MoUtykt7hafM=gsoc>i4)o9No7GzpyP08S
zI5^A>4>bqleWZaVX!mwQH@^tX=|z=AXc5_xE$-?f(kD2EfnT#R2R+8zbGesuQ#nq~
z#m_Mg1%}Z4p^DjE*gmvt2n~@_{aZ;{gA%XASq6)-_|EvA_<{K0`0==;i96|)*-&+o
zw-q!JqM0}&L3vEtDIrA)l7y;_(jIA_bX?-3XW;u!DnWd@f=_><2k#Ettto7>zN<$0
zPu57qPZNyQsi?lXlcdGdL9)Fn2M;L+N6d~ADVaZsH(Dx4Jyz!-)vxy^F?e5kN%gqA
zRH7%70vnawjuxiY=^|FBWD+B_5Lk^|X*zR2b#ddHC2x-8vYgpwMO?Tcf{N5{7csZx
zQH1#MpshfYHEA@rEkv6<38Ei4?4+A<1L-J<!r@x+j>E>%Z9Gg94eURH3l2RG%U*b4
z@}U<FP2TmR^B#uWzQ-WFckkrSzx&<EpNvDn&c~gy-dl$G)vJ1%MlVa`v#~^~G~8BB
zXFc)eO1tciN|p=Suf6I(hu<ure}5KMzVyQ61JA!O`QV|S!KxoTH2GiO|1M-6+Y7CG
zAD?{j^sfS-^R=L^oL7XPyJa{#?+UXvF@N!S1r%_eb4`EFF_rS@AOPQ9yyAO`v6=XH
zgsFpkntz!oF=eI$Zmbw&#UClliq%<uNCsL>>JQbbOYumnQt_x$DUr15NaxMYa!xg%
z^6J>8js<lrs$;u4(xi#a_~2m+JYofh1bd0wB;AEpb&Yi$?qWSfkV(inFU}S(7jF=`
zj##<KIJ0t*<6;b{iD$;yifpQ~oWX2TbOtt%9B)WW#LOKXnR4016(JM4$JKaGMz_Zd
zW*5h8#kwFPlQaXW2V67{1M7iWvv;BgTw6)Y)x#Ocq((M%QVl@cXCE3VrIe#1FDY*+
zZxQTKcg;{-a<ns-Q;xiuJeeeM8f=0@s0kv=nqsziEhk$!P9`Cm9TGM{7$<ezjF4<e
zx+FhpUJ$Y)tRkX*WOfvbmYT0dK!mO2)6hX%jOdssYm{a1_)C|3Xa1VYj>Myml$8C&
z+Fb?!t))#x1H=qp*=f@OvR|{LY3o1?T@~cxa+930RrXH4aM!&DU_Hl4mg3~G`~I43
z_}Z?|^xF&{0RhEDkN&9e(rvS!?A1O*{4^{xG<A@>6|bNr%u;3<9NEuUvG&EEtnHcF
zNQ(e-_+VWL)>Yun_D9;0vK*A<r<P-Lc3Ho}m2S<q8Lj3G8qlyo;@=4p|4vZ#?*vu<
zPViY&Vq6$@Q0pdMckaZAb0<!mJ8|ON(X@VM99+v=Tl;DEL~ArwHZP~ioO9lrJ!{tB
zM1OlH*~C+NrP|p>GV0rw_hTHrY}ve}OS|V8wf9TB(4DwH8n{2&5NV&)+i`y{N#Y{U
z3EQ02$lcwbbf>$AyV-7rWVka7oWlFvU#jykykoP^Or0QqG^L+2<7Jg4%PLEjRW_S<
zq}7Mhl${PgoF)&`I;iy4N^l;KmVsmQ_RQmS>^wC=VBUH2W)cK8)jdC*r4&s!$tpj4
z3q#Q(BO`~B*hD5ipI2xO@KF-`n06mxgZWUhgiU61>7;Vv#7VM`lC!AWN0kRRkp_CT
zeEFJdk+OhN1k2@u(OQUu7`h~t-N;UReFV`__xXsVNafQLP0z?Nh_XWxd}b9?f#F>`
zAtQsn=UDsvt2vha+<D8tVAJ9?hyf1EV=2m#@AK=*SMdBZf4QnCH?o?vB%8$NCSRO9
zwQ}u8(hyJwhtVyD*sETWBw1W^w%4TH^Yn{?P9IHmOVTBmPDoPcfXAxi7ash@1v-c0
zL7ONhkDeucdV&J=Ln3DW=>yyr_E`phima#N`e`11kb>_q&>0N1mOE+!Ls6faRZdpd
z<Moy@o<Nzh$Pg+XAVgraH=1lG_sq6h10@6A-a4tjnvj6iT~8gf`8YXf#zt9$_}M)*
z9#g#PE#(gKVx1%=PWb#Q-T2_$2yAYJEg87j2N!pOkgz9EAx?O~-A!;+1is?~U&86B
zc9O78p&i4eSP`WN?Iok;K!j;~d#|sI$g9)7+A_h`&KjNRFDrN9|K>;p@Qn|@5=Q0l
zYhk1h!^!aJFbb!=f$G6_XiMIaM6MDjlyqui@1EWRy~0#4Z0J4Kiym%*@y4ebQMeJ<
zge7r(f?d<PrFDBN%SRrFpx;D*iGVh;KJt3xoygxKyc}tr-HKwFfeaGj_Bi5Gph<zA
zkAm0NnP$r=$h8>Du%Jx#fHL*N;dftF9G-Hnd|4Tl|J&FA4R$#Pv`R+ji<X6)Jr~Qd
z?i~4iy$#VSEuMq!+^_9~zKBtD_6LoY36sZA@3vr2XhUDYN<M9xYe~8*Snu<uQeK8+
z8VKp`POn<P=p~QO_jt?RZ9yR|92T&K4GO0ORyGQ-V5<Q5W)$ug{wS~(K`00|TcJSS
zbAcpZ7D#7MGFL9VRWU}Pk&RZOYd%I(iGL2Jrn&M6@5hltwWLa-qh?GKqLg|zovgJ>
zNRIZ9rZCBxhpc3B)SI`c=!n+7jDSirUMq&FYa^04G&-_L?YsR?`c)A&E(canpVC>8
zcEm)4nUDO#KuM(R9yQcd#M=pbJnA!^*~vhXD3{hzr(9@w`ju2<*tvVvhOIZwZ@6XN
zw($kGE!@7IWuLOoU-H~Fr*HhUE|<`_9UDNPfBLFR&n=r4<p(Zr7&!dUh8LIJ@VCe~
z-m3#s|KMBruQDa{Z~K`%x!!yPxzI67?Mx?Wn}Nk@{staBWCPkwz8PNz4>rIzIJi**
zH(Fs$2Cn2_X&M#>p+9nA1kKLCKxj({joN`IJ(9vnN2`^R%9BxkrbZWpU+^F5NC`qH
zF^B_y^LN<cdi#BLRIx+92n|jvt)hRc@}bpNHhHly6Ja63N`y_pB211VL_~>*5i!sJ
z12%AFOIcJ3!)_5e#JS?l;-ez>a2`rIC~2T%frn*i%s^8Fn#5%y+G2*N{S`YB@E>3Y
zU7NS9xs8=w!hQj5?115pRUK%R0SpF>mo%#+r4OsTtk)YfHU*keP4k<!Hu0LK3f>Hx
znxYKD^Z6hf&4xvr#v=NVeq6yot)Li9u)yS$@oqHkcH1YMY+^i_Oii?y(Rf>FqG-m?
zvU4eoB`Vs&S*fFJQtg6iDlH;t8~QhEL|Tqgt&p?9hBdJLx?tEE42F48ye^x!W<@ER
zk6J9(YEo8>CiMv_Eq<Cx%T!CiNm4eg8khY(KY7{aP(wHz$!0UTd@ygbSw&G2csp;k
z+3ewPC=#_qWl0nTtll%4j7pVt4I#}ksH|G`qnVk`S~u+JUL<G!oN-m1arYx<FtzC-
zO`ZX^MpqZbHi-ph$n6o#G{la@L8PQvVnFI^t*!&p_pCe4jx8pDF}moShv18g%+exB
z>S^p<{e!u%Al(tEV4xV!t?kTBemJ!A$Gy>551*F6ao$(qYG`Tr@mV?o8l4+%nS2Aa
zvaH-9v8LHO{;~S>8}rUKf|QXsZs`*E_X`hA?&mlXb-8Bh19l;QGt<bds&wt<ALfzX
z=?_<jd=L>BRun|V{h-A$VROEWVY+6%69`wk=4NAXeh_U4ZVjSUK}ZL8Vso1GKNvlY
z4aS4mZX8i}y4=y1Xjb_s{%|aWNGwuxd}KG`DOkn`L?N3G{=RmbHJa6so#j>poiBf_
zD89aI_T*nhX;;!=kXeN@L@(&(E*8$!_{JJElXI3#-g?uYl1}{Pw-Coli=@@K24D#X
zUxJ1#r!;$N*+Lx4-^X;IHI;k2u%0e3T@b<+jj;>Lsjip1P@roo5vi`{x{h^muX*7$
zAH3Q|(oL^yg3C3va?zvC6VCUY?0zq7;bD6TZct#m6$Ubd{`;sIc16dd=*lR(YKAK<
zu*L$h#zNyjBfGe?rnIHBt8}!)dlRyyFpwr-U?8(Ng9env3R-V~)h)18fg{ehobNhW
z8hF1>rxc<sZ7ry=t<;7*HgFrkl_77)p52l~vFvyjvDv=tf-I}?`{E=Iyr+RRHjsl2
z4KFwRv0<t~Y;c!L5`z>JM63bvNl=(Pm~?qZl5<PWP-9t={E@0ga!cqs>8sMc5*wCs
zQlG?1UnyD$kbfMXLnxFgQG6aBx5ZIZANR#u;%wK?;%~%%A7|rVadTYQ8b<GiA^Z%8
zPfrCQsQAH8E3*6zRewciD$Mu4>_`5*mi4gc?<}zR#HX0D;~zR=$kL2oo$4AS>7SJ@
ztD~&@;@x>Tl?NrC&hN}0&vW@CNkB>xT%IHeNEmwmISI)x8XW-#($c6bEZE}!N2=y)
zI7y2{-^7cODCbe-=uteQ9Kq^y^eAb_R!=`7v|BU@*G!ZzO-CYK+YXM5Qu^B!brSx1
zAiqYQN2fMzs^|2Q`iBvyQ)6OWo+G|wT2I=F;;md;K0=xjeZ1zuK^zwh$ulX;$JZur
zI`8XeU;OZjmUAvzyLxov+!o+o|IAAZMLRF&B_w@!&7#}SY90FQwcoqvvy%_}_2q8~
z8dxGpW2K(NysxjAb$*A>q__(UuIzvIkI5$8@<$}`^WDp5fAy@6^V-}N*WjI(yfXRL
z9DNVL&XgO3-NR@Z2Xh7Kc2C(stTifpU%^0#LF`1(+Rr+1NcQ8zA;Lb!Xx7cq?K7Xr
zA7V4kG44G^`nZ6Na*0e6iuBYuMJP5ogIC1z5ss0}0O1%J%&1%=?4E%vnaa;T-8D@+
z0t_>yK|A@MGa@rw(Fr2Yun2gLXSiq3;)(|tD{z3%;(_Bt7Gb*qKhBZ!QZJQC<d;cx
z_H?Rz;Y8PfxfY+#q-}t|KoG;ot643aeoK4)?}aBN&4*{nWXE(&ofO~Tzs6M9%};ia
z1bo`0z(Vl=9Xp7nf!8YWX+Cau)l7x~i>>_S4jA)6r_<sqcM;J|L=O=aA~Hl|iO3O=
zC!&pr0ue<b%4hgz&h*!m)qcJub!=BhmOzxa3%?g9wr<Nrl!$020ucd3F!V0T$9B=O
zUOF=BNXv9>&RUr+9zh)$b##zRR>ru)qr)PvGOiKtK&6Ne>|IdmgsVDWO$WF-N*zl(
z*#0tjO3;sQ?eKOxd?OD_a&R;UY!-G0KMW%Jis$1`mJPy{0aEKU;(@C@u-!B6K_9wc
zjT2nXE1jt1fF(BQx58f$EJ3u;7vBJH{qQA*6#WKf^~{<-i)|r&O<PENik4;!<yr_}
zY-z~~#CXGx(2+1c(==slESwTR5YX1>-BH9ul_-h^Ywd>)ROaD7C>jmyq+PiUB<0j#
zu-JXb(h<nwmF0H1G_B*w$ape7(P$jk@#8vaLW50Xw%A@_+AWMF=mWp6+lPEk4CN?s
zx!qnPEGKX33jyc|Kp+6`1t1)_AaGfLMU16l_qp8d#Xwfqi_u<3$E@CZeKEEdRBVzO
zNsWv!&Ym9HZD^+6_#|QZO`TD6++56NuM7CBfq<{0(owElXLn)1?`rSpxYq5nx;r}E
zJ_ey{Eq1HLVxP`kmekzk=`KSbPiCgQg=)hz83&=`pygm62UGQ(wEn=Snl7IR?$_(d
zc$WQ0t`u!S>9AM|mK+^ES-LE;_~H+vxEA647yjqGe|KaTNYc&?3+|Ss4J`@fuD^bE
zMP+!=JCC@}%3dK!kA#E!B&ihhy31?r9UInMH2bX=);GC|7PyBkp6}2|&BUl_mN<jk
zc5LAET(tIG(Ek1Rr!Pl~RzTM2(X;qLf<;7R3NQM><ldoUljlR>2WZ`-dGfa#2ENVI
zvOk3_{5Ix7_(tXPm9@aEO|M14wR_g0-u^zbK?%FYz2XJqOu9T?Jj}gibR4m=E*dk&
zOfilbV;VDaVs^~T%*@Qp5HrV)nHgecj+tX-W_si7v-hFB?z`{bv!|D&>grNSBUP{Y
zzLwhJ;@&^UrF()2J#=z)T!+yvS}1-kY3G1X?(z1T;FNo9fPnI&F7blOfp7t;WtuV1
zNdc#9(W9ZX4iQ(;m}m6j1j*ctOrE3Ro$Hb%b>rF3z+$h$fdsWbmxF6FWTT}66?<{1
zZXVFe3}mwEsv|dziP&qkE1GaWrgz|nm@A6m+vH`z$}P)r(r?*_(U<EQ4&)2UpthEN
zFC|%IYmA&|Aq0cXPDu7kfOigmm^y~&-D0b%M<et8s+)|=K&0XA`S5e6En2I?_(3Xb
zwyxFc2W}Bxe%q6{pvABh&1b0cNoDbz@dAH&xZJ8KZHH>BnvA%gCbfJ1eGR~b^510b
zvSP@~=S*)C3iVt+z;ne}!_IC3a$2GM`la&17GB90y&xR$SbWb53a#47q?!CS5~(Wo
z8*nGL87iC1FI9jK1=)ziHr%8GXIO$wMqCJzkBaamK=3#lxNeO%l7mFYH@9rB<Tvmc
z#MP%yGrx&w&c2ry`1h;Nq34oz3)9fF7vxQUG0%Jv@ig`8Ox>_CzGpu*S;52i=tk(g
z@Y?`OCo&~W+F0Kqx~na?#%`Yw<d#f7<PaF?(S#I^E<`FoZ`ZFK#AT6DJx@fA^+!Eu
z#m}vUg;IWG*L8I>@$^qMwNKl55c_VUDXx)D1ib9G8Cs8v^DL6S4mc<8gDTRLv-2B)
zst&Fm%o_9?+=Tt&O8JJPN9umn41cU70K()=`7C|QZSi<ua70$ZPw)`oYt;~`kqJmR
zz48l=U~{c`zm|x)%VcoyE{W&CBtm(Kegs6zE2^%)9eSjau0cc9<5`cnY0&+KlY~SS
zB1?(ct{(VWSE>YarPFbE%aC>T(BHIDY&S@Is^Na&V|lRdytpm9v0GF@7Cn2oJ#}qD
znLTByzUe<NtK~S`zIeJ!<~Hzg#Gxm~M(wg4hCclnx&61?=wn^RFN5cK-W$nVYVXKz
zIQ+Gp_70tKhIY#@Rm#3&B$`y<Y!Y*Ln^q8XXpLd}?0-B+{*bw<_zUk-3E{XRndap9
z;jB4LB|)oNY8rSB4~{pWpjC`OeRb#J8EnwlyFA?$otGATXo~z=xF+V7?WwwJG$W1o
zeHrKa3-m4!?|V67Yr^6{PNr+rx9ACJO1MtMS5pre`QQQf{D~=G$!?W)_4e4c0dN^Z
zL>(Es+&I2Q&zjUF=yY)QsnOEM?!co``*P!P+eKnInV~(;b+zKCF(07=xx)ajgXN+0
zj*?x*TIb@0|Ly)u0)O)X&3$L47J{qdY$pGk!zqX>zZ*Xq2W=Ka3rvurNF53^)E8pG
zhG#+s`1vNAGs2p8fs0eYl28oys4NyJna<Wrm+F@)<yBy<U@Gv5)YTY1RmYhtRVkNS
zNG!eN$Q#z|t%#!>J3o1)pY3LNoUJrFoVmTMclul`+hVd9n?A8fwF!TDY^Op_%5!)$
zcVOWUm%X&jgPaTDgWs&@Q{8i)4N@tIm0mCo=xe}a<53Be&72(W;z3@q2`*2Dp^H%)
z{ITyNdhusJoT_8kB_BD(mX=fV@F95*h%AUT>)&WswJNMO%hREHhsA<*7DTeTlmx-a
z8O;+1iLcnOhJbfN^M#&he4-Qv_JhEEman}~SIcxEA~h*|5!J(8)^v_ifPK02(KIxR
zwQmiM<wA|)G#$joLRU1Bv77G0kE7ZtNz6qIB5bsu-aC~rn&2Unz%`REMY+s%3QUAG
zpZca1%oN1;N=AupX>+I3O8V;Ac^ft;87h2U+M{3Oe*3)Mu{JW8w^#*xA3e8x1Rg(2
z8{bU;&j>C8|A0-fPE`2(*_NkzngL*Bx>MhaZq`81VjruuTz84qkDVyWr{eJWe5lxC
zmlH3<NN&ri!C-=BBroTL77?%rgBw+}H0$lFW2_ch<hJAR2>0?c5M}e7Y;xB;`@t<O
zSPbW1X7&4=<OJF((^-9saB9O5C6a|n!k651y#IcgC1!SRU)DF?*V!kJ-R}s!yw07R
zDQ+VvFq=>_Wdp5cZ1sEg-VKz*Fs>Ij@54T6l6`!5NpE%)&W9{V6(=r<)b18X8U)dU
zd_5a&)mPrs---!Cbe+9l6HwEWD3EsN4|UH|qpe;Ue}`!FH1Q(_=)u;yG9@4H;AkoK
z|DIC$NH(hS>2dH=3)|0pUW1#xEmqdZoIc8z#_vaDX@QZa!E_c$T1oU+-GgM~g*{<G
zKRI9}RxH(QNBAj?$EC<j#yu6*I%l(lr{5aH>(UIz(0<eM)=+JWVhue9f7)3r9e<k=
zD1WxJ*-eQt;dA?FPRGG)b8>)VP1QkZ2-R~`==mpSV<!gp=Z!yApvxgWrQ{q%i4?pX
zbwadSZdHdzbk<V&F9VvZkhVC1G!~TSKv>7tB?#~z%k+`6b<;Vz^c#qDh_O2q8=3Tb
zA7%8hS2wmriwi9@McM>=NBRbOkwt4Xebc3@hFccH^KmK$s+3nq))?ZkrOz{-O+GD4
zT}j`6MsDJX;Biex$Kq<_vKt0t`_j0DG*F9F(FG>`5S#5|_3Cm7=d8$K%!S3lp{C2Q
zp&P@SLLR)GbBpYag7dqUdN;(h>lR$IUp~$ap(=BlxoBe&e}RA*#!dQ0%v>6Gp*~hQ
zH;(W`=EMVcs$<y{y0(W=E@>LUl}JS8f$hopKD19|gZ3(pWZgxSP{NfSqXsH~trmNU
z|B88(Qg}lDL!xU<apa>6G|Dd2+LQmC5(6BZ_E_thBz$|i6IqwN5;)n7I4RmsfV`@D
zK<oEUrc{yNR0|ywIB-lI;^U<?iPq5jC0wPO_@zdBp-(z%1%VC{Mmd&bWXtwecvc0I
z{TLi<So?+s@c7HdT7p$86DS2wQ%|9<h%_SD;6v`op5*bz{#J#1@w7ERr6YT_6n<iU
z++f1`^=+N0Kk^<MoH<#l8O=COhmz@yK9o|;NoGQH{syPGRv|HcD*e3fLygg@d>(Yy
zkUV}56O>>6b4fnR8bZW|pK$7H4B^=GMT$yH9iP47NRLm47r<ec@-6cL(t^j^8Qb>E
zdh~d(?NV?TCPalG<XLAW?cx6B=nd`<Lp#_<WJ9ryhuR`)0(&Fv0AgX;Ex|W$>hPlm
z$wa1n>nhy+5!~Zi{}F3v2f}Sb36uzhi?R#d^nn9=4~*LN43-31)%Jns@Q3158&=`Y
z>bs6qAiqmDRE0?#L9A9i%(1X@#mt(~SuOfgLBqi0)$fsVX2Mt)YK=Zcf)3sMQ52Vc
zoM<on8rw0VR~_3i9i=y%^D(t+V^~>ppS9Muv@Q;tw1nlSQ6XkmqwvgZwx<<L_6kjp
zKKb(pc;<oiNV#Y|^iRQLZy3z^pPo<{U6cQ~szVl^)JChyst%NEPQzR52RYsnJ0KN}
zOi~7nGDb!_Isy^;QAs=equ^llVhmgZ!ws8cDyX6h3q}r*=}H+N(8ByP!beG^+%=dl
zI5~xX%3}~r?pb1ND)aY3=3tQHO2OE%!1BYsvV^MGq7>r!QGlC(pO=5Y$O|=O-)Yr2
z(X|0OrBxjeSE5{et(h3IM-et<z&N6o<DUhOriXF<^^M5!@zIl%5AFP*Lq;bh=IR0C
z970BZ4nsjk*OwUr^!_vlQk<qQtC4dq#rXtM_h+Z$kNeTz)@~+=gMBiRtSJWC^tc=q
zZh^=}r4jzb#@SSK_KMRt-tvQ}v2o)^^eRnH*!=5CSvJFM)u(;FqBSGr%oE(DdfsD|
z{e^y?Q*)btr1=MKOYp<!4MMe5O_NbCMH0kA-frJebeSj7Q1bDvKmF(>g*Z6Ux}@vG
zEZmf7rzQv*Mr$epCoJ=ga;xfwXGm)McIgb)%=$t4weJ<vn<UYcJfFPRa2PCt8m_*6
zXqT*m9gcx~{cA@inM-od92w5|I6+OJoij>9coimK)0xZB#d;~XWxToTB}c-|qn=qE
zpDL#`1+62RUcFt9zKpxB-<IjmBS&NtTSdarpWr4vnGKpa&4*?1`??QV^u8_#Il2rY
zS+rO??I?2yG!DYqVjiR@T}UZH4}6pynbaA&dMyjB*zitHviOHv<#zb|R(>&2#SyVt
zatb@tqp?R~@>|q0vQ9r9<qc&IO%D~r3tWGP33g3}&u@53RS~;55~Vqp^?X-ejbu7y
zdj4YiMK-@(Gj1ngQNFJwWtikpkPFe$ad%O*%7A@jS8T$>gP@N=>kn6CQ~06jH>djL
zUmK~361@>^*=j<tH2G3)5)qN8hT=w@X0jKk7JADSr7G)Fw(CFQQ)?aS9^8&j4|JG3
z6skY#(<B_S#qd2oK4QwA4f5P>mff7*v|^UJo<P4W5z#N-La?sag|Dx+TRs`}<?hrx
z4@DO>()r{q-rTorj-s;T5l@97iw184vsG`WHZKdC+4$Gx`k7V@dnZ*DoJ&LtzkCK$
z0Sl<cpGy%9Hz(!#Jl^oj6oG?ufP@1-6>|}n*q)5te`j}Pcbx_OVGLIDC;-oMa<nOm
zLYbw8WN@-MEw!*Y3^U4Doh3x`bm?8HAKfL(Ww9qS=YY6h3GQt9`-<YBd6KL}f76h_
zIC9<2y))QNWvtbXu-T2CE(3vm+|S{2RploncHwV87A9(U6?E7rb%VMKDN>agNY*hq
zR+A}w{Evmg_kEM5`%<CLtgwB0-wA`i;%FlXOT*d=n+S8T!@9uexfAm!!8T&7DTVf-
zte~~f2A(1P(t)sTB&xVw-yWFlDE&l_(>9GH;bFlob~3rhHyN!#!Z-aL{uHhqt(&;i
zq;bq?8ddg8Mv6N%t=a=?F>10c!78d&hOO?~+=!m+qK5kR0j>g)SpqJ()g+8Lmf@OG
zDf3I*qd~K!M6P1LOyWne4&|W^gQm6ZnqF>xYec9$yN<8xjzkL758v&F*ng@p^9*Yx
z`kmh#dVj)Llnp}}BDUwwjA*OSWofr^U%$RM$VipaVe}%hH4RU=moP2jGIp4kf@1Rg
zH1-RlM9R+{4B!c0HANM_ihUq=wOc=GVbKiScYxMN3+VVNX)r=SN9r+>A=e9Q@`uet
z=|?aWw}t%atGxHgP=6&J4pMM9Aj|3Meq9d#+nu57Q;Mm2tP*c^23?BzcT3;CZc|h#
zFZ(!#KjasMh#OPmx4nHebuAL485_l_ltVGrn&%~U{-mjtr<&@HY8>c)GLO-{7L)w)
z<Lg?crD1I}xjj}7p&S>i{Yy`2&yH0G*QpCd^29ov=z&%b*i0~}3h{J!8_{vICKn!i
z=&AgfEe7<QZr-;y=zTJDNh5(NreU-D?35c(7QQi`Ox#|7k?Lf0RSH+7WPca17{a;~
z_NJ7`hx!P+VhR>X8fbhJG>B>I)B@|c)MCk@OWU|fyzJ^6lljN;E6bm43=efoy|4J#
z)q@-fu9%FeKU?9sP}+Syw!hhLy<UwSzg}&My1$LwFmDH=Tkks}w}h;cS|c?>Sg%Uw
z%=75?8z%<33$yml0!a{$`;R-6q?D${jxCIbiSTzD^W_tT-hQ5$Rx#T|tD><b&YYau
zdot{NrEAB+Z>&?TsE&2yR8-Sz2S36HrBWKUG|H@z-ZYY|fNCAlgp=&njCJMEjo)dK
z7DrQxjHlG!H(beI(v)D<V?s_8^!k)2Zq+A;Zy9v7FD(8*SV{XGc5R-f3-_lA7da}~
zPqgHPr`r2agOKkIF3v}Kb|o{4!nTIS9_$F}<)wJsuA%XXEiD1qs?aP$td1rpw@ONu
zp^JV);k`zok!k5jLqhW@`RM*gV1fx`ymBY?ZCAs}%fRy&f@aR`HLOn%Y@aik#*VGD
zXe5Oj@du9sinhl`ZOEzV?SA~S`Zy+pi+etd3tEiDOhf>+hEWd%QFC5jLGFf?d??^Q
zac*&EC={ukGpdawok;56){-QFbuypJT1R_3)9{tzn|)bGv+`nzKYg@zvmV4tzbp{J
z4x#fSW-b@+0&YOwDtI!aRpVIh0xXA@@?xVE4-B+Dw1aK5VCaC@(QgB%;w)tYapkID
zKLqbiv-I!?`UUcRx<2}J4Fm0iG`z+^6pc?>t`Q?rhEI*@CN>FfDg~{Ral)|GwiTX7
z<D+*p(!VZleS+j`kmS=>co^nFaS)W>wo*qr)72gq$4Mfz0D;7QU9v+k1#unaq1MwH
z7v2HX86WoZo&lXia3#J+LCU!*0C09+0nwe}F#&x1+-xlloV<{&uR=Wg(Ym;feaY5F
zsh6q?k(+xl3mTmR!H8b7x=NE`Z$mITzvBXqiHOdI9i6LF>--V7yoZB|rXu-kQduCl
z4y1->PAD(?uWXqs`H*MmyJ`Brk0sJ@C7L4B4bufqm>~y(KI-|tE->B1Pu4CK5i)E=
zLr3gZt@K1(SFM*YSK@p}{?V0=pce~Amzej21y*@->EQZ6=Hccuk<rID2BI0$U>jI|
z3*h}m$zYQ`TQiphA>wRh8p9W>CT~Wv5$f`b-3NT#H)x{FSpzE4?CPrRY4?hA&&Q)>
zeH<^tg7p>o8THM8t8sm*GJdPs&XWxZrpLAlWf(m(tfN=JKLSQSO=)%PIFtz!6#(;F
zo+^r(@0_6cuEG7zHB3cG1O-{{Vx+A1ndvyDzTe&8r8*3UXc<BF(1?aobxYlsy>E-6
zwEkCMH;VOVzj(BkBVSe|TSuB4DkxR<g=tD19F`~rKN4|Kh96m{oYON_RbgLRJ}&hK
z8h{p19{x0Bli1O}Sx}6tC&!JxQiF>!0&|i}jtw_N-A$L{9Xrv5`v4_qnB{LhS1f8N
zRV$^ZkBZs~Pe8GkPz%)2^>a{ijh0a{Ic$46nu22W!h)H~06nzZQfl}|8Y*$+e!1XP
z-G`5#yXuogt_^;OKmOPuU5k&lj7)`-dOEHnJ$=XA3F{MnJYpETS_BNm8nNt^#iZjk
zWqZHIi!&>q0+h**uA1Tcq|Q<@E$|g8OKjWd%V>X%L<<a_a$NYAE>$&61<jnMXZmA_
zC91uOr{Cdz;a%|Z-@eUYofUXK2n&J@MXsK0!J63KaI!j{@3>#NmD4q2=RIPoH#Gs_
zr|M*9bz__rJ#<KM8&({&aBmA@epIK?%WidC>$;QiX6^RR#P0Gd+0ynGokJ2FTR!3g
zO<!@Wj<ba8a*j?PgvGFis{`s5e_9&n#Q(-W+^<Nj;g^Op<<-#}tHlZ+f#~`{#l<@Q
zQA1Eq0An!m6Bv~6)aNWLO;hU_FPqnoZ#+dixqT^G4sPOfAzNWPT>;!*IO4v$2Ltyc
zF!Z|SnoE%wMtIUW=WU~$);d))wx6mGE8je4$B-Kz;^D3|QgkjfH55`84cXG=$tw~8
zn>VRbE%%o%r9Me+!v@>5g6kASwvEJK5;w9)ao_y2$!uaf(Jrwevk}hW{CoB}x``0Z
z)6SE9W40!kyd$0vLVO@hz+x^<Ts23v`dRG@zIR62Y>T5-^sDI0L(bZgPhv*eGF<s5
z>_Leb<)x%*L+q2lX2^{n@feF@uMZ$!^gP4zk4t)TPQif$2c*J=-y>t~Na6%|>*V9T
zFxEogP+D|h_oY9;PT1W~W6IqRSp2Bwqo9O9v{=v!VZU3AJ|(RqTGZ6<zieeA$|#fH
z!8SFSa|c@`_@HD7oSV615ZiZOiWOf$TGo3yN$p*)qwQ($i@B=2EONWV_MKqz1h>VB
zhIsvMMB|3Awbi}XZP=Pu3mX#;+!kt$ANfj3EGkrQTPP4N$J&DS?I3<nn_@v67TOP6
zTWq7ClV<YA&Z`W>YvwM}?|kLo7KZ0(0z%lp-Kv2-zsuyeCStJK9|K}Dc(4!(y+sw{
zuW#n_uvUuLzsNFiiFek6br?c)*0Y*f9caDEm}{W2ay7Hz%9lc<&?&QQbmEN{f!USW
zV~2L_b3Y1+lEG4)fXS{B2~P)&S=gN4n2GNT(}Fa+Dam4kxy>YXwUGm-+fJ_w+;*Y5
zgbMkY6?Gh~@zfa@Swf@pXl>cV)gmgnv@AOwj-b*zgd3W$Z+TWy@vaTUV5UT6Df0)i
z_(jZ`iFI01>$d_s;!k<VdM3{Kp1COaNuOZ7@!NgR=@DBE2Me<YpSI_X>^mW;U<7tW
zDzedX_fRQAnY|o4VcYdPLuJE8uT=2~w{x<eP($WzH}>N3cO7Hc#|{!Lb{8ThDF}}4
z(^FEX6P>Gki;;8<{piJS&2i2@XQb9%;yt8y^qe`a-=4zDPC{G|<wm@{!i4<vO@KGD
zHgs^bH`23u&)Mjk!vk430gQn691jnGLCVP5#L*N0<a`&(0~o~2EFF#PL8+ylqmhV_
zfsLUNfR7LUKTNo0JiQS?<9-m7fOq*fmRTA9Wf>j-U{G|kH3C_(v37hfDLCmn{uR87
z8Q&#BdJabKX8{bNg71H{a(bXz&8%&tK*zi8XL%bdJ?nQ>QEQMVX4WPE2600pYezFj
zx6fbyR$-%LZT8nmAS?5G3*LnyMh*s`#_Cx+zFT(yXaHH6-p^^lgIe;hZul$vXE*#8
zSO0I_0>Co}i;F1Qd=VFs*0cRj$3XIbH5H`r?!vou=D+F+ZVrw{R^ryiHh}lump3vo
z19hz%fJzYb-55~=7-a1YjqKkWN~I*M04ggu+1gqfS%KONY5~aozuo!XKzlP=M;m(p
zkcItkvl&EG0F3YqDgX^oQG*r83QE{P-v=}300Mykc18{WE8{=%EbN>BPSC;3$pm0w
z1_Ica7y)dIOn=KjPF4Ub2Qz?`l?}iFN;yE+va*0=pfZq|?H}iuKq)Io4wAjwXJZ8Z
zM?D}p8_QpN?99x6)AzdH4;B_6$QBcTogL&0J3D}#4OA~9%isLFop;~Z*w{hWFay{@
zZDM0%`+Ger+q?W9=UJIq{!tGzBY=q!bO8qt<R~cp=fV8mP>z2%#rz))em}?g-hlt2
z_nv=u>Tk-<^fwRW;QVhoS^zD;`*`{1tob{<{yAL!W7e>M?EGKN8m&a>m?cIOfwO0L
zqQ(%VssW0KI-!zc8oT`vi6;o5Ka*d{!-P1_&yMcL<gG}%PDd89+!|8#eeNCiTNg3b
zi*ot;7wfdvr7pNuesHBJ@VLATbImy3lqGf^NwQXivpl$Vj$hdCFL%M_r!5zgMp1hg
z_*7guvda>sZ({I&r)U^?vQa=Us^CvA(s|n2I=Ntr_W478TdTI`Qf+g&uK!ku+o_yl
z8s0X3l`9_5^6;AR;|=fPicf5dS;M?IghG3uBwArMd+X3CGb_{WB_nIK=F#V(#&GFp
zxsS?>fopn}7R6Ka3U|E7!7A>h97K?mc8>Iqs2~Ybh;{+6B?|jF&SH{=AemGNty+rR
z+~DtXXkoK*l98+@X{v#Aib6=;U4K-}5j#JgVs(zebypT(m3lLvco$A5f1mT$3Cr%A
z_*UOnX{bZzEmPV*al~_Dz)#?vg^1Ld!}QGaDTAvj8wo}hIwW9VaC3u`KP13J2Or5V
z(}e@F#F@i&tinW5kOQ(DJw$-7D>o188;qqW!63k0Opzkvn{Fi({}hflm`0auvFN!&
zM)?NzIr?*3MOe06{RU+dg13M9KEZFqdpBm+=fLHy3y1Bi`!F<bp;<!yiI?lcUs-PW
z{>E}JW4;0VJnbeNuK51_*ID1{2Lu-^VghVw1PKmTl<Rz&8m%w)`DD@qonf4(LK;2d
zypKnuP2ea#OPiZD#2~4z|Da~=T(NMN*Lc*LANVpu7-E;2#P0*v;$qPA@8T>FH0=H{
z7XJppzhU(~(EMj$c$dFRWb~{+G5BwM{qn!#tB{SQp}3=-rJ2D$^@W6NTmc%NnLtzW
z^Lu<?0y46KCL0T<)?W=vJrf5|?0C-$>)C!aGBYuC1h8?iy$b~2qpss$<@e%0qOjv%
zGw<bp)FWtZVrc~U%=GsLpa6=6%Al|XIxB7F-~bAHDrSbDyAfz!zRTYI2i=d1m;pdm
zmiLMFE(C>C1tUk0<UPX4|M!UguJoVX@{dW%^d3G~-mm=Er2Ts{_*=pMzS+GS{MXGc
ziUYwBZ#L;}ERyVq|4}m8DvHi0us;k<E&lUB^ngzMce3a$IqEI|XpwM6EDnh<tRWNR
zW)5V0Fxs$uT2_sfIBv4tf_%vI+_JI9ezIe2kicD!S#r<xM7*#JLI$~ILA%X1q!52A
z>FV8S>)q<pS}T7$D$0k+ZZuuu_MP!E0AWZ7SSaK##Te-|_vL%*OM?&2kOBrxPRpwX
z)yto@({-RHKNArV5W1bD%LU_h_@fYg@xOrj4SmifG<I*bsMUe7kMd>{xY0nM5u8dX
z7;_n7yJEY1ULpQ_bkiL?I%tSnjM8Q%-l*6EO@REvD&D77r-{aB)^&aBm#R_86mVC1
zX1DLR42O4>45K=HxvlM%h<BAxVsRgqN?uPcB}eU6B?q%-R*|rDBPM!^Vq}!=9e)9;
zFsp)>;f_$yVDm@qRK*6u#RxpnT{&{gehK5SZ9F4Ifz6YZu*Y?()x-GPCL9`D`tc$u
zExdlPgeMH-{m`d_B};YUVv1n<z@nuRq)emPeM7s6eg5XD_*T5s<GpoB>-uNfA^L?t
z4qGY~`3-q0eZxrzV?yrPIB<fG^jwD#x+E|E-tYol-+wiS=DFiu?gD+6LnEw#TYl8j
z*tzDO-mWL+8xbJ#m&bWx-h-1WSZ9#UuP?Tw-OxBef|}IG)J9`)u9#2t=giMA8Gh)!
z@M`y9&xp}ImES5LazC0NQp@}nz;{xK-y!?O6Y7BUGUX;im5qGvfd5DgC%NhT{DG<(
zOeZkk78x?NfY}{38FLTQ68Q$k3+K}v1;#`I&*|L<GvD^6S5jM)Q&I~3z{+mM(;SE&
z0PqOgJ=v|YPJgX)`e$C?2kz7&JyOd6gmbin0C2Yt_3)E0jlWbctgheST|W#*ocXuj
z<9(oJYSLGeBq5Ao6HBItW6=H$2(Cbwo1cAz(or%BYFycJ<|J@VpY2YU77NfW`aDyt
zgg=5}3aDwNT?7()v`pLE<Z%B&us=(SDD7cZZGZJGWU4P_5mgRjUU)S0@Uh1#*i9_M
zs@$xMTU39&^TyCP!E`sQ!0Pl<>LIna1souscb;qS6v>IupGiEvXs7<{JCiWnbeXMU
zB)NL|dgmdTn8bWdNj-|WZY@T#ek|)|g!6S+i6etnyVs89hSJ#;zE<}&jkki>&AVZK
zX7+P{7nb{aa+e^bmL>Ej^_`s1<qcF}CF@V!%++t&6l|#+%3HyeQ?iBQ>^`s8yrk%U
zS#gN!c4RL<2^f;g_OUO8ya8rrB8rPAW!m$Y`?#~8&3)A}3BU2`Q?YVNx~HH+>A8ET
z8-Jn#=9QN@y6|F97@GOu#tE?F!f`gpays-qKx7+%g==+Ll1C06(yQf{(Ha_>sRqAv
zTlRRq{=!F2pUKlBV`TPJkT(voi>duJcN>X3jOq1)7Z(@-C>Ve`oV6~@<wJAt58{bF
zSYc`Kvp!t5*eBh}H^co%MzAlI)j-R+m3=p?eC%Nu0a{`|Q?dRMoicXU1OzA8y#o3_
z*E<bO*uT_?s<hf2J!E~T2p)E)06j(Dt@51TyE2S=7^)|jwZ`)ezH$>n#eX?_Z)Yv$
zc^}%b7ZbD(V{`%KzB6U;0jdW@;PdOZo$oM-26|uNdC^xfiUH6ZmI4P+Ls=IB$V>J<
zW`aB{B$g+8Mlarrr1D*!9U-SSu8=O;OAO3>t2`e)D!<zDYt^t6J2Dn85UC^vw<;hM
z1i|6`#MvomRiO468t{S`qIb{wW!u>3I9!@|4GsmztMc8k(J!f35UT-}r5>E4K9wzh
zEOvdmY+*Q?glg7Dsf2wpeSFUYLdb?MlPHT;#s&%26TrVbpOSqnjvz6IR?u0uPJ2iA
zb;#2_qb_I96y*j<F5wP-tEUj(2Kn9&Rq_zN^=+aWOc)yiM}d5zGh_~^3v~hC?l@70
zHhCzJfS|G-+v~fQ2bn#sn^XCvTpRb&vZR5s)_ao-M;T$Q$jN*a95d<uh2_)jgm~2_
zn9J)HLo>Qx#%JQO-6UKj(wtW+9MK;WfnGrlN<0JtMc3tTl3fprzeY8{m5EW68#Z(X
zFDl56jO589FKRGm!c=wCjZ#866eMF}$mu3v0&Briv5k~e?AMml&|DGbhz?tB{5qWQ
z62=ft8KMHSo@afjz8U@~W!Z}<R@u|;QJV}gDsf;FxGhgl8tk~iODJ+}Ge5zT$})tV
zNjjApn*%VoN&H%;4jR@hoQ@OtGWjL{noQwGRa+66uUXItHKb9SQM9iRZL1Jzl~FYH
zlxvWf4}vxhnZRy1e|!y_i>9RiHjkdkAbQ{wIx<`w$L3ee1M(blI#q6W=Z8Y;K%FEN
zO6TYBuX}D9LR>a1dik@I-cD-=B^wh2yaV_=UkV)5$vUlF^z&yZwfRHZJWie5*E>VL
z-YG`F9jvuHLMrS1v}K@4IJHZn%qpU*Wwo1V&+>VNlIgsnx3o_06<ca>hJjeVx9V=V
zwOVN)_-ei`(_ro5KDO+&98~_I(HyWmVQti4-FX&$X{-EQe^l-JrO^Ymwfo`Z?`MqV
zEG_0)epb#t!Q{&swbPB?Q$Md1uxnQwmB+_TCXAbp6IZ|49YL~fG7<ND9{_COZ2?yt
zcjb)vdW3%PCyYxOH$99lB5vU!m@EP9gYiakeqG<^PCb0X>VF!T*-FS?d6<gGkBls+
z%|G66TJ;#YkG{y?3f;A4xI1<{J-xg?6N^PkI74Uswx!h<lB_H#)}_+Mzp=$|qm$Or
zo9Cw8v~5qBxVA4hs^kFo`Q;+Sc^!u6(Tga{?tZ*&X*WT;o*NA&Cbm8#?Ar6IA_dkC
zZe5Mk#)Da^+NDy>Db59vhI`o-j>oy#<+TC88*Y=a8ygjgPmIt5zn2m<>z+AOr~egJ
z=nc3X_eqAQDjWT7kK<yqJ;U|wCDQfHtE_2{FUeIW8Z-OLV+VdHaDo3j=^yQ5o1v4z
z)fC|{pP?7FJG*Evt~<?BkLK*1CJ}2R`XqxWP8*rg>Rn}$>`Z=-3%Zf)q;Z*SqxDLP
zHHr}KQ`=trx#FIceMS-dr9z||G#EVRU;1B?CdlqbE9e{7{dK>{5r21!=+b5RRL9jW
zSWXQrUJOOnNnOGT_`vPE=odG!=t)<^>?&S3RZh)r-V{2~)f%ZhZq1S|-ui%b^<;cY
zC%FXL`If(0G}&Ps_0_O<U;-8B+`y^d9i2`pHbi*gmLlr8n;aS=y&*J)s^dc{eV9Ox
zut+&Ldvxgs3Pn{G%9O`F!!3IAbi!Ol4c%vyHTB4k(A-9NUEW@l<(T&Q3zUsWgQ&-K
zFX{2Mfjr@jYz5<S!r7!nv2?&E##$I7Ya)s(fHoqVwZu3o^3GmcEseiaGef4wc3h$=
zb<CtZmsV;#DF&xvD!AR|V(MyYdw96d<&beL_mGTd#m*Vsfn4Y!l=JN&Mz~>EDF1X#
zC}r;f$@n16*zd&RYYai^VQRCs5*s}R?mjgu5hh7Wt4BkJH;QH+-vAK5KHx_@8TJF!
zPR39`dDB<@A_=T*sDzWQ5_g{miYxpecSh0}EW<T3NW5*BKBbT_mfPL1o$5$Vj%Yvd
z*12)8F`m0;>@+ubS+rhIne+?#zEl{(8O7oRSO>X1Ka3pvMnoL?`W^Ja6MKh`(59D?
zAc3$H#Ikrq!FuPxPwCO%SB4e9szB|6aSUzyRM|CJzvXi<9v4d^QdGegs;&yw-Y=GB
zaIKDCjA?C_&EusKQANXt3|po5Y8EvK2yz=}Y^0?bF=Xk~(9CV20yK-ua|O}i&CYMU
z<b~ap4PC>&be)-(+j)yhNPHuAPp8b1_?Va!lt;`pXTEwNN5xg;1|&F$%(^#bB^6<X
z?6zs2!u39)Bx!n>nG;ckj9}eF(x6g4-JQswcbbEQ%dTc2A>+~G+C-G0WwptCtrKN>
zjRGouPb{E=d#(GrQYYvwG!?a`*i@OV))I(_+Sxau{){C*k6{x&a4%55q*r8Pgj+un
zt(DW#L62n>J`eOWSJu*pEHRjJrPJ2$&AV};QcMf+RnNc`h1r>%a^VNP1X17{mZ(yY
zWMoOz#dL&aP?&95zv-V@++?G}6{OanE!e#a-5#}LBo~678r*t8ldTv<b5@yXBP%gr
zzJq&%%tJ~e9NCZsN5gr?k2`~+$ElbzU2h5h@^S^*Fz36HsLRyN?Esfb=Kea&S*42T
zFAf$%BSEM2&0n}Rm1Z%QzT3^NB2$D+4C1NO4IF+_s;DTHRvL+gpZS5gWz@3tC^|<!
zv2W^D#Jc|t^YtYc+yA;ViFG?-ba@mOCs&905VD9HsZ6FPDUO-^50Bkar)gd9$ndD4
zpNPb3L+@B1%B&6^z|$`<WD+7->=5ocoR*kgOTRRRofD5#n!X-7s(A{K#^v)o71dH@
z_XOI7nXoqMhZNUHbiKP2w5rN8G4{5U9C8#&5Kgm9&1yM+p$RTzCZBat6rYf$L!XMy
z`Mm~WU8VYdIbmT+1$&x$-Zxn~<M6(^sr^60;U&7fjC5{4T1uD;%9ReJyACJgbF}e(
zD=Vo?m<BkPv#Da1&GpxJ;jGEkNiU`Ttm(TpwNm%;ywHv?jDuwAm=lUt4<)z$L~3V+
z;gnNR5-!2#C~|o&TOF7*n#^&9k6-GgyrX#;I0Scsy~N;SD~J#7;_+~Za3T??jt0jP
z$sGyh-+yq3P>9N!T4-ln?NQ$p!arsqRU}GYfQdSa%>EV~K@uiU_`w*#+pH>rWn9#*
zc&_l9L5BX<{&XB`Ftu?uu?%{1SF8XmEdf&&AV!piTDMx}ii<H8T)oioVmAyPmJ2I;
zvd-ID^3KOr67~mP*3!d~Al@MUg2%Z6%79#*QyXecJ{6nM@^BsO$0duPE1Qp&?GMv+
zb+;l>jXbB?&UNRFKG<cQaf?;^Yuy{=UT?xAh9i`<IBH>kI4h#P(9<@Ie)ef>8oXrL
zr;yjE4%DDT)JRJw7lx>5kF+8^xsB-kTvMYorPZJr=H(mLyG5&<&($ge9uy1vtC~4-
zC2R=}VFOUkp^_mN1V~~x^T<F`#j7WBB=t6!Og&k9o7WCD4u!Qs|A0N1UhaupV)si7
zRbhdlalxdj*7@(CTjybsh?K}^0<r4PYdCh)c9ud2TtDFqrUdGLbaYThJNYU5(+0<|
z=Q13Yj!6NSs&e!AYCIPETf+B8hn1{`Dy7NVlPDlGSWO+dqubQ(S0R=!H(NUh%v+4|
zE1HFg^tH)oY9&;@WxL)b42|xpp=Gy?3@71bil^-E*%M!lry$+DjSZozf6i~|L<AaR
z0L5ZH^#mZF`FJ-Sal3aJMyZTpPDolo8)zE(^f0j=7N;>GxEpAqD0+8Joi)Px56E9M
zg*Wokf663;^AY6nD6A1s3$8s*%E9f2tw&eil5pu`>$R6g)V~iC#_??^X4MXu3Ko<5
zQ&ka`X380$6d#PQ_hlKhr{wEY!gA-+%)#o@pR-lRt(x3=$pPhxEQz?yh+bY1p7rd9
z$9W>!3^&K?U4}wuo3m$UJ<qfI%pikNs(w_2k#K%PLPcIEcU5>)SFx5weDb)jR%CyW
zewv&c6@vEOH3>3Vq3DsHyO#=>Imv=!T@cQNHVNSVjbk3VY4dy3Rn5Q@16TOliHaKi
zwzaMOCj5+pWK2+Y5}hZjwBDP8(g00XdEa&W^Hldw)ZD_d7yn|zqxvEBVQF%Hyq+EG
zVy7I#6k@a}TCCh#0E>hKsWi1`nkIcznA#wS0bLyIu~^D0r{!AG56WKn^gxux!`d;3
zP4`#=gD6vR_vOgz#;Kx3P-V4am1g$R(4)Xg@@$74qCeye<>e!?SLJztSb{+)WK`T!
zP;y^H5mH>Vi0ETY$m^#Lq*~k7L+P^8Oc4&KdA*;O*UAlyCFYnt#Z$uW2d5<pN@c&6
zc|L>NFxIP<IfH&r2^Lc5AcqJ>;{LG`#8p;(&?qrw>$jCxTB%g7?h=g<nlddL#=D&>
ztyBS;2k7<VHF&h^IW26QTm~EXhJn_RbhkuGuo>uSH8hHq<ObFMC^e3BbjxoFo<H`t
z$>mdqx*&}o<SrIIo=}TU&358k&N@#qKm4K+P`#SgBv%rP5dBa~?i4!ryJoIN`C=Hf
zYs$FqtHw*Tl3h+QhC-yVBbGLfW?7mMOJVmxi@J7PE;Ll_^yQ&EJ-8Da?oQ!wONN=g
zHl4ze_k-|6`0&ROCz=pS3)?D&lQQJr^NXG?7&10$bDzC(U+Tl=cAfl(T31@^M-G$H
z(=18{vT<vFs@LbuE$`5^F)J)6-Y*`yTiig)+jttPNorkfm72WPpZ7Q9dR*}4k?Wkf
zS{08U8Pn?^^}fp8>t5Zwn7m#kTf9lV=~VjXV*fkf@EtV!Um*5h;sgY@{ckkvzf(Ux
zA3lKp0{ivv?6UpK?mMpbU)U5->0fNfyZA4#_dkfA|5sr0|AzhH_zMSus{1$W&tHn<
zf3QFAvVZo(fARN!vOoVv-~N9>0fDHPcPR9~Q$Xy0X}<p;fH*+p&pXNTAID$r1C;+?
z9LIYn{<Bm51(*J{{{KEawBkn0dl*qf?;gU{enbG4#WSJ(bDJ>Q_5)g8KB(cg`m3YW
zw4JZ3;C@PR6o>(~01;Kntg~>-d8%AYL?Q^?3k!ROMr8nw98~Qi2(c3PNv7DOjoet_
z%SM+RY%T1zQZ$^)N^rmUx{WTa{a*4}2-f_1`F7VcM2fCIJXN-=)|^<LAV(MT8YT*V
zJ}|sNXsq-U(fz$QIS7#V<_x^#@7vQyh5y4d28iq(viFNV0&|(C6M>rFLs2?@J>#8_
zSDTNpIc0Mr$|D)JDQ?O&$cY_6%S0Ozxf3zUDkkGf2^&AKI=PJ9j|csW^i(MHRp-B?
zQ|dd@F9@C{AWwl6+C7O`SeE78AS6vE7X7<P@}Ioxf1f1(N7P>I-=p?_;cE~+{!hFf
zM5}@DdQJcn3yACbA9y_w_^$o`0k7wL*Z;40{oh&pe~;FKIJ^IW*0cQsbN{dW>tCh+
zjn*?WbF%%d?qB2YU(o-*2~htXuJ?q~Rh(^p<J?>09?3iz&r*wTP92g;7H1xk0)2$+
z;nd(HeLukAz)GOV0rb%4<yh$i5$HoTFbjjtBYL;Z0<4IxS${Olnrl_v)+5)4&f(^I
z4Li7{K6g5pfOpN$zoidx-dWzQICNfRo;`W3bD{^L3YjYg;{0|SyDk6I?tKj{<O)gr
z!&~~U9#7q^4T2a6*X~Tq<0Z<%JB#{QWY8NY7uVTpzGT)WLzJf26GO=HGsga!-x`WL
zg3#R3M-3Nzhg|%xK5(1oH|Z5>eXpUrR&O64&TLfc^EEE$^*7y+g|v^?R%Uq}A~gj<
zeUORE@usRbS?9G8dFpfvb1xB+BKY8Q4K~j*^X9Qxo_5IzGhIa-1nQxeN>Jm@1Xy-o
zz5a+^M(*1Fnd;3?gZOzll8p})(an<UD`4sh?bb{|R;@8f@^wH@jsQh{fj{5#R*UKl
z2v0NfjVU3zTTTb|;bS-$8FiK*Ed~=t(z0cUCnBbUq#XT<2C^RCon)~Obp4Q*wb<1H
z@^**Fz6qG7%dabZ+mCh(gFExWZU}V_gQVkv{9nKyJD!cf;dA>K*Q|380vPY0r6kZ@
zXotV3*nOlT*gXn~)gH+Z$x>{=&K+u`@bRR61qz`P$$Dpz{VG5vZunG)YIg~G^zo1Q
z?l$MOEZ<6HvqowWh4!x44++Je=Wj1%!a4@Xk6cM>;ChcHtdG3vf%plW2@^8jffQ5l
zU$=%RDfvkzK72-jmwjbhjC}!478zfX(Z@Y4Q^C+0=kDDRTlSh?a|TA)Pv*ExiaBBj
zCZP}tQcj-O5(Foo<(W+COxaA;p09=w3L|W^;(#0B5omUPNLCG`-N2)097KLa?4aFv
zvS0xx)e4LrSs%%cI+xLye3^V=R*Z@MRS%IQ7ccECY!c}`Xz2*_EaEHwn&F9@@<-lr
zZ2L(H!X5Jkyx$G^`Vry2BgQ$WcAxs1{Ters2hOW4j8K3f&$!8fX|6k=WFwVZ4wahB
zZaUcd`$~j8<$CT!&t1;9c$q{~V$X>#3GI(oYB@a&XyCovlb_s?SK3k5qtmB|x%e*6
z7#}C>kZhMZao(g{$0cB&zTzSM(aAwH6hhu$G_J;eiE9teoCyBJ{*cz3V5ElLKtg#g
zy|g{BZI0&aOqUSxsCR86(-wZ4&-F~k7hNZia<y$di~H=-5Uka$J!Wl!?0}6KDO5D5
z*o$d#&P7)(TIOZHzD;S$suzmY-;SE)344>%zAb)Am?1_e>fp=VX~MI=vMs0Y^hdM~
z{$P-K`d67~y54mVl`k|Ua;;5m(E>tjXO_oz55F-57KgJuMAaZzs%lklATC2dQ<l6U
zjj5HnW#~X&oUPrr;wk|D_mp&kbCd9_NXN#JgRiw}pN$iya^}rgX@a-6y6V)duAo14
zp5KiM8m1kg9YL${KR*~(s`GxYt@=De*|yoDxW1+x%fFv7o1A)pOXhuV;ZJj)-Y%iZ
zOI0V}_JdY!nk7_y$rLB`IR_s;=yKF~9-zL!_8n|7ZU`aPrf7ADv{<8kO{LL&HOFA?
zaD2SWU8h_Y1?Gq$a3ii_RH|C%SZBdFQXqcKFGujsp{WCY1WsND+b0^3gcNKH-~Ij2
zRF$9V<R~z(600AQb$5i7G@<A;O*?3#;b$UeD%$)<iBjk(zKiB(g%_77*!{!t9OrtQ
zo08Hc=u{=f;60SBN{wZ%eQRqqXwgYv;CMYrp=LS$H?B}8i$3qcnTAZ1Cv)nT3M!rU
zhSCIie3wV_Tp8X{E0<mB`5d?kr-1$qT?iJ7rh~GGgGxya%4tiVH*34|bN_~e`cxKZ
z`yXACPe-2TEc<2FUee)hL)2F4(q?TE_$zKVkK4!PEeKTfGu*X0IAxunotB|-Wml6(
z77oX691D(ArW#8%7;evw;@8jVAEI>o`&w@5StjxPd?xjqJk&H+)pZDB?Q|~v&O2gt
zpVvFsfew?X1?;zX^HUe)>K_ASqOob{k+bZRXhZdQYM~32AN<vgrhCu}mFiD^<|zgk
zU9+jrs4cH$QBP1?YcH@xbi~*wmD4^Xr$}%qkju%jD~W$OvhXK_?z0dXZss#pm&vcN
z|Lr5)ELA${jObFY*;2Zuvc9;kbB2EO#QmfaC3V`iL<!&Vx|f#z)Oy4v>h?{S%EvC-
zqUyEcRxsD$b97I^x7VLKU&XZ<DzuU`g=RaXTtln9N?LY&N>8!*pwi6r)LMGox#U~g
z_T%$Qp|YBrK62dSrY>*8a(JL#@8t1}*F7E0eU^wKx~F2@bG%^qnj}P-nwt1@7xi`D
zd=T+eb251}V&8loC0<An;6qu?$*N?aC1v3(GppIsJ_DmL)wZ8qz3u3H%>F2)Pe+DK
z46Khgsb`{}&XPjK7A~@it90wCX}J7NM&Y2Z^;T#mos1Z-HpKRGdd_F^$FsZ^4OCv?
zE+^4i?FJ{@nOa@hN#KV`YgvnBlrBSM6X_=hHMx0bA;?AAlz7QP7RqUS^B);(B8v7&
zpussQ)0~`yu>H(RiZf(X@{>8T;uG-@vmkx`pG(o-;j`a~?3-69tI$g0;gD#9H7oK`
zu||pEz~i<cQsiR{ptz9zaz9Ves*>{V@?2$&oq8Wxg<5y??Y2B%4UB87wFW((exzFP
zh7iGPA#U+T7n!%JYZk)Os91Je^*f5T;c5O>?Xz_>A9uudYwb*^?clk(k(O|@P`*s3
zd{=)&tX_+hS5c3Z@;gYjg17eed1<KL@@(nF0@;N?X9RZ+UQ1p@5}Vc;)9K_G_c(7h
zyrSNVS7rcfS-KWKm0buxdLOo#|B#i$-{l)fDZ5!H+)%dw$C-<+Ps+jJST_Vzh`Rg3
zI~c^%gvlWE+185iu-4T(_^j6@2YlP_)&;T1L;sHyG6sg=hZVSLSUt)>2oz{y0ib~R
zDvH7H2phj9SbaDl%0O$+k*nj43zC?7bk6{uw6PxLFH*Q&Ys3lUx4@MscCgVL*<}{P
z`T?1ZDAyjjUl1SJ5L>4Wf>WK_z)nKWaUr3Vgn5XB&g!PcVd3lGOh_VUg0%=`@1%$t
zdH^Sk+vYqFxD&o=8DNbQA+G#^^MH&HMmWEO<ua-I^pe~*#sH*?-t7s{LRobq_&>zy
z5LBVT6j#(xTML27A9f;t9ytk{N%Bxu5gr96yN<s>GLi*bF9l=M7uc+@tt@<Ro0}uA
z1X{$;my~SR=aI~D0}&d#aF%t+tQb4kd@Tt>g;92eRjE@lWM@&EJ$LH3Rh#ia+o%z8
zZ7jN>wdw`0?1Mu>YyaXc0DhQ-6ENb^g|20s?n-qZ%=Whh1BaLy?XFVG0Z7{5darCo
zM@^PaATwlBHa{H`9xNuCgk75%D@#3NR6aY-6ct=CJ<kj0g|P8#V{HaAkl!qluE%87
z6XecNe;nAVMqtoaO;?StgN}gl0(c5=b%x|#4&~xmhmZXR6Y)e`{jlYZ!2lL|+_fI?
z4BbRX=&k_X%@<9Cw<N&rVacH>A%43cC+rZZjpWWtdLOs>lvj7VnLDRU<)vEEQ8|0H
z+8WN|vZ}J}wr$g#6@p~!ZoRIyy$JU(af;4+x1Ms)e8;!l3{!C@xC(Qo;@-hQ;|2}z
zgwTV;M(j~Pc%eo#;fM53`I?)bw<lf9eVsFV1sBK*6T#!dxqrz6yXhC8EIZOQ9#F8K
z;}{$Gs{FzZ-s5IUm5*ckiqhblD$dEvmZ61nltsOP6Uzae;QB!yQDG6eYytV<1;v2J
zrnquWxY_zt&Y^bH+aYAcfC<dlf}RDNxZ?vDopR{JBnC?=aMoF-rW|g<FNgz1Jq*P~
zxaotRpT}-aPaS^R?ME1U{m+wDM2fdV(oZ>N*>oSCww0bT^`iLZE`ckM$le6(-TTHL
zZ`}1H%+E)2>5$XZB246gn16@&05N{>uc5*^L&`t}lr_nuWU#&DA^k!`LQRU!p|RN3
zPx2<`(!X}t!PwVDR#D~VK5j;4Safk4GNJp`z+U6})u61AAUht#u2Oftoo@drge&4s
z#ldQ4g2Y(-Xt46J{W$muN%)xyk}F&h{;Z!<7%7HB0pbUQR}ntoE0UB1QeBGeIAiDx
z)^}c18f0M}SU&-mKZW>OW`AsDw2vD}7Z~f7NHcq(0gE>r5Qz53<G;p<8^3s>a_7p?
znrZ*MY<rYw-#e#O&G^|jvQeHas4}u)rcZN2s7;Z?H0}L;`lVfO;+`|xL?wHT)LZcy
zmB~}}W%C(X#e3mta|l`INzUwkk`$Zgb<>WD<1H5+t6<xkUm2DAoX`6$T51A4L{xTU
zbG&E!*Je+M_y{VGe+1cBLUR@z>=(c!=5qmm2)&!xW&+^+)q8E9vvdBm*`sp3_6(`B
z$j9baEq2BF!RO1BrK7v+TTb4Ar*NKD;uW|}B-r-$JrD8X%9b-jB8AnELcZ@Gf6A6e
zS@|1zf2BAg1{@IUCI~YQg`gm?aC7|bkjg3v5C*Mr>^+bCRGpaviPTNP32W$0@aJwD
z!ygnf28a=bbT3|9lgcJf3G}_HoX<Y#Yw!TA?)f}1FNH5$F0=+==36&$1CF#@gH}9=
zv|~iv^eTwPk-$R?h5bJG2^dk@DpQ`DQI7U+p=5^$0A`^`55Tn#{7nvXR?VA)DDTsL
z-<UU5{J7gv63(N9>`^6WxKPR|Ru*I^HO$h2Lh#1ChU8@QtQ5ku9Z>h2m4mX)_EiD*
zC<~P5O|0;x-N}sp?c`RH^yxAa#aT$#S4_nZs|o(Gh!es(Bv}QFUyFRqMAK-lu6S16
zoHa@HBWfv|r4qIVrl>N7p=i*YKm#%5ax6B>Hq1xuY`zhb!Sj95m@WWLy?Um0=`O2!
zkbI#Mqc(E42)BQuWYVZUGM&HlxqjqgPgTaP6Le?46mvnETLv*SL<L(JO9ne5eMW_(
z0+*8n+p+=XF&DbU)HiyAqrKs9(b!6&w}>hyjZrp#yx?v^J;?c<J|6$0jqd0T^&zy|
zCYo+SVV+|>eLZ9vWDj)`3_Ya9DAyQ{eXYr}WhSc6D;M|-r(lyEt^*E`^N7r+qf$Jk
z=3-;ztO3S|^P;Q)ak^Kqd{wrL_?Co<jdV61NLyzO!Uupwh{JZL*j0%0YD~HzqmgB?
zssQD?=BzE<@|>>l@s8FrYvdou6+h%WP28V!zf&L;H0EzK@@X_!FV-Y!%Rh9nFuKS9
z@`P3?Q78wnIN64)wW3*38Y!3gQ_zd?MoTqVzw6Aad58`S(eHFL782H59o6kwCm7%(
zS}(V--t+S<@1OiX%-wU8B+<Sv_%gfDWp~-O)n#YdHoI)wwr#u1wr$&X)$2azoq6}3
zcW3UKHUG?Ckr@&Dm$5Qp?OeGd_UF5n)3Z2FZbsWe;z~4M$Qd~E6S<^lg+@cZagFwg
zE*iwD^*zM<x?=2y%XpHaetAaRRsM$cM$?7HQy+4ZREJUB#C-VZikj6$N}N4CtZ{tP
zW?IDtqwpEc-0^irnvDHeZ`xtcXyAl@P||_F%nw8DASo0^bscH?gY@!u<!4~Q^Jql*
z3K20izZi2M0ytHwRkH812n59Eg2U~&1Y^ZeD@g<i5Q`yu!U39?P_0vh37>d^c*lM2
zT!Oq}Z=g`%yaMFKP`T@0{NzxcXtY8l!+vr%!U4VLh?Jffxpw5?Qz9iuSpY{C!37<K
zA6)Wz*Zbcu;VvPELE<Wa5_3rB!;<#ak0irfv^-XZ_y0f^VhN_^EQao;D#yNv3V=mT
z5vPU=Ga|C29gw4MWE3@1HSyQI2P-|~I@;P($|pE8rfs#I+UHr}fvqmqdTk|gr7=y6
zc-0IIdyfaLGXpe*E%UxGwZG}(3KM%Fa2J_=H>@a%&X?lOtb|wa!-2`mgQiW6=P(D)
z6AB2A2|n#$;gpqDt?2a4pF8OG5O5NUhUc%@cH55TI<RwAsjt|!`#WGr*UE`bnTie_
zYg9wjGD$zr9gm{oQpK$>?=TyRWO`%a!c`w5$~Z^NDnhO^id<p;%#}M(6-6MXA`l`h
zrizR~k@+&C#-XJ>J?_TEP3K~T^k2?Xd~RQvnMKN0ISEe^Cemwz(+F8m5tNV|%`;+c
zo3Okwa+8!KOx3f;=Ze9t)zj%dYE(bJp9HcJwqevj83mdUwp@WJ6vU+2+a#yH`i73W
zu$9!tW97bdu~tS1eQS6W4@>e)y&lKIkd`S;S)Z;#Yuf1Oj?~t4w5hD4h;m5{D_qvJ
zvDx?$nKOskplS6ITItv`>WMeF!k9l|OjXM9+D5Z9PB}F3**{yHJt+HTvXIzYeA&fE
zO-`Qj+*{+d2WoPSENUTP*;Ir{13PM>Rd1wkxhN|s;l)|*wNR#nV5w>2a{g@t@@ALE
zkWDRGQS6mr7c9z<9%p<DmQ^&t9gONk(fmHCBnKr?SR&{!Tg3u9ksBJ?peGAo0(OE2
zTZkTRK$xA03yWr~fl6$nzZfDnh6uu*b(4tw$7IbsK1@7mm+{u2Q?AE!!vp)*%X-6m
zuPN`aOX+wvc86;4*;&$j<N|{<>IG`QG9Eb@8`^G_M?1||-#gtcCd3O^_ObiM(Csjl
zOKA2O@FpI7qR5V$z^aL}kV?`{QJtfap$6~c(Jlg%HQ^PK9nB!y^Dl)Oo)+3+Fn^LK
z%d%cUB|xI$g4TetQX!SeMqk~j!EfL~3af5MY90sK!&(PY`Hk|I`aS5qobLz_vfv{{
zx;8N`e!04i*EicY_~^_i+kV<z1W^l8?J9zirpOGe7}Z3%BJ058n0Y-M&N!xbi!P!V
zs+B+4pH_rO%04|bTiCUEylUk!WN)8bEJdJNYFkQz?F?mQ<%*8Oq7rd=t}l*T`}0<`
zjhrax4I3)PRpX>Fzt=U1VYJ9LtW``yby633RMcP{z|_Z_C}Gh!arAY5WOI2br+Rvs
z@Jvl8mq6$5&B9r@bbf4nN?S42c$)1L&8kjtznkt3w{jF#bX>lu8q?p%%LGhhdM;%^
zyocMoS}+uEZ>+{FHXQK0PnblWP%8H<m7(ISaao)=tDr68kRn&T$D3=p?<&+eF7|hA
zdyoRw*Gnudz-vR%q~U8*$CrR~aE3!QTa@YuGjoWngF>>#$-m=P9j7s8urhM+Caeh2
z^<CbJxFs@26<s*B4|Z<IR1n2~QC!$D)6`lwU)C`qs7|TTsi(SErf};HE~VaZG8sD@
zVjAbQEQWNM^p8cdVLxG}ibg!^IJlHwR$SWS){6wwsK3*xkDJ?~_n%U;U@CPLl5UmU
zaIzR1m(&RM?Z8x}x(B=k8K}{Q6P>ZQ2W@Y~c#{Qih<J&F^m6#w#7kH~s-=%P$Pu+4
z^+S*;b7e{-!>V1%5t3AajOQDFa~31Vtt66Ywu3VhAG(_pc-I^u#qS&R{lPC*dAuA^
zHZ)W=RIaC13C0UVdc4wJXA(x>lk8?noouNM&5c~3i6mtUk4D}cBTq1bt_dANna_{u
z!%&x+ZN=kqX_IZ~il|ZzNA~$U_bu7v5uBQC4>okjI@9-s?q+u4z+3(6sd`hKJ0XO7
zK5lu+&nS2|UMCjs5)OqQws6-`yIsWpLzF=o_aKTvc?|GY4`0xLJHrJk%Iz5^a5WRJ
zDN;S9wpKj4=p2jhDUOk1f7#y(*tug+goEAQWv2#m>578yLV{o)SOE|jS*6zJ8#(Ek
z<pXN`!J5{@5xVSLT)?NCS80Swi8(U4zwW&28QbGj&oi-FC|@wS^Oa1tqRy`0*{q+|
zFr`xm)e9Y2vSi;y31go}E>_HG`apj;Nx?G^bq8A~MB2&GzMkEQ5NJi*D#l?5dC%)U
zEwin-UsPl=MN4&(6@uz)QePs6lBZckvaSAVv&xKIH|<I6HV5elZ~l$l=K&{+!jV9N
z_Eh#*9wHE^1lhrx-8Wx3<aPl{s!?^6^OJtx#ZF8niiHi`RmoG?pI{?iX8yz(M813B
z8w^M`ez_qDp}|Cb6#@A&CUIs@rT|ENM!`ObUz9%t%3z;(=SfVfvA)z|y1^bUkN78a
zRYIXy@HkE#eeQei^@?GsZgHy5ICV}hJFv@uxg;YjlOK!oC&61S&cN>DN2YVp!PZ;f
zQ`afBtNHWkLa2?`wdVV0E7Nsk!SeBf3B!}4wnn^{wCHa2ve$)kwU+m{Gvw^GdGn8c
z2wnUf7g)J>XZ{;R%AW`1K{`q1)MfYQ$Esl7R=p91<_zCcZ5uLV#>b*hg(?vX$KHUc
z?qVLysDNE^^#p&L<1!?;jtUw@WWmXO?1Lc>k{<_>!$1KubkAejrrI{&#KeY<Sj=s6
zUZpuOm?w`}s-Ovn7xG)@7cDE{P#a4P*hoOs4@r#=Q>Q>q6pvSAGNgB`l3%dL?1W!N
z>>iV?)(46*7~R|X<C-u&LbeN18<W#b+2ctk&zj9yVYztxj*+pOoeTd);sQb0;~}2C
z69L?1-JK`E81wXPIp>;O5Jp5#&Mkp}#6UmcFt5`G#f>p0nar1VJU%0fe6+7Hh@0C+
zVe^xlk<Ug!+h)_kwSvHgm-z9h){V59(1wPgAI@Sp;n_#+VnylzQp=?Gc->w`FRw06
zpGZv^YOi5ZXdo;i_pqqo8$E0TW_c$DgcaC0uoTf#qJDV}0~*7qvy%Tiw2avc-fM#*
zTL09cuK7a};NT}FbWO|;<(erA{FN0W3U*<~_yv7`rE@wZeo7>W%h${z$G%-x^M|e#
zf04H$?5bAyr6v)qLsT$_?<7z2ggP&hl}s2>PfK^9?pdpLKa;`17>idNyJAV&n)o>D
z2_9XT70%_%AJ%M;5|&u`kW4$M986;)O|#lk8clETj5pYbQ1<p^y#}J_ZSqo&(aGcv
z_XBt27_^RmNV@qK&d3FI!0-;4M<+!}byBy^|1NPz=o`Wq1lFh7D>+N)!{Vky<<%(o
zk-APXF@Kt`a#kz&V-bgv1}R3VCQMnxiU$epwQlw<+Ax<|bGYQSV0oO3%0#J(M2$sF
zODH3dZNklC(V~8GT%S(zqxDE6(*YtN+@QDrxD~a=O*T5XuSWa3)T}TWYHaaPpu~>;
zfeXEu3S;IDN^5>$p*V|8;p~ichhTu<1_~z-W?4p>-~6{4qW3|Lhc=hFZ6%Ty&V>i=
zuICd;{e^B5^K{ow9WOH?zOvM>XAkiK6B<B0R!pUdHO@!-Z|2wdexbl<p8_RKq-Myc
zt_-~$sJ>*22$tVJaDF*Xav8q22TX!z3wixK-&mKOA*_)?Gw?5n4C%Qo(Z}OuLuj5A
zer?GeRX{CU)p>A1RUs)fVO3smO1_{bDv=^b9>Z`{(*t<Ucs4f5@FVsT=9!?eYz!gL
zhZ$6iB)ezNamJ9+I2GgCGlruRd6p+6qFW`-uFq^P4rz>xD6g-EC3rXS<kFcQFA(um
z;gwWS<C61{_TQ8~pV=abs)44G&DnCQ(c@!Ii{E2$`m3_|CxH~r(aq?vc^3ApVsLE$
z-`V}n7gg5dsaX!N&mI+nN6TpslY3aV-(e`Gr<ICO%7%@Wm8%b=ExKXQvqV9I&pCpp
z%;0j9L!_#Z`1<lYf5*>+>lc*-898YZj+-EKN|9-sP1Zun36Ioo4-qRb6aSMt(`NN9
zbO}45vfEz8<}L9JE7K2fYm0}?%x9y%T9vBfF{GsKyI1a#bYOC`>xbzmy|9j#p_ISl
z;)umZM6m7p6m=a&e92_f3Gzgtm@e^wi{%xqMn}HX@r)H*yV($V)W-GOspN%5fMke7
zyKT>yt9%}PGf$ja;kp|^U_1DTAALU8ZQchdPE-O`I1f0sY6xgj0i%FfMKK%H;ydOq
zj^ZLL)yl<w|7pTae$2z7955<|lF3q@FjV|hd-#*dB+lrhVm|EZC#WC@*}f47k&S8H
zs_JSxT!!#YUc{Tcmm2E*)<1VODin+7L((X?<d?~m=5b5Q;zsvoC`)Ug2)$(*%1X^?
z7}(PEfZ2AWrK8z879EPrRzcuLZ=Eh%8IJnZQnr#s1fco?V2_IAaLVw?!A`Is@Sj{=
z)-gi6N2`h?ISNDQ=u86<l<yOOJ{DgC#UbBm%lB>QtoUD&h}r!pyraDFx$c|*g_NzH
zhvys7bq*9$J1_D1teI&xRaq*4Nko6FQRXyn&ylh@%6l`Kw9srj?x9k&$;nH{^(C8i
zj1>-2ZS7G|=P!MmmO4tDq_D=m{LL{`1P?lf$0Cg>N{%c{V1{tO&Av+59llZXwl8u_
zE52Dnk%%GUxBhV~Abhx=PLE>puT{Cot3Y$^ws4*G$k9%n3*t>?Zw<0$*-Lfa3tsso
ziZ=+Vsh574;Qrv_u^{7y^W)bXto3onhxALo8Xi?68y}8mP1aNjU(rfdV3zW~<K$Ad
zV$O~c^-?P9IG8?!IRP8quF}W`vFf{lM65jPRjJ$_2zA7*B3?Y`&z@~ukw9EYT#?d|
z8&@a%Fu#|OvB_Ub*H99EyYum+@LLcoE3-=$emj(Skc<kkuhpZyXMOq^AKyfwWRW*X
zrUHF^tTYUUTGXjYp>hkHH4eTV)8?pQt&^sQt=(Gbymn)C)LgsUwA36MWmXbZb_6ZP
zp$$`%8Q*$lUuMDwsm90vW4REIMBk$;{{cbQoVyCfJbc_=!ULj8M?Q?PhF2Txdjn*I
zj&4=t1g5lce|Qomghtyf$w>8qU?p#yq!tyHO-!|F^@Sd3P_HBZp=do)CTg1%z2$8m
zsx4=6IAN|mfz;S*o>o1x=`z-b&EnyhCSKUxUo!PLkd(+dPd!FCI{L--z^uq^F*bRQ
z9(LxvnGwpcQ?KqSlP{Ojwc7sP`OC=QY`p(uh&WuPr}SBZd`Z!?N6ay;y0`v!I0(FZ
z;TpELihBK|Da*EZ-Z&ngu7$R3_D5A&X5l1%?60;6I`T58KfeeqK3hb`Ph@hO*Y3RZ
zP1-;lO{MoP6gLUGr?W4G=@OVduJe|B#*M~5Cfr%OYSJ>Nkdy^l3;mW@DDnQpVt><D
zJ5~@95)v*!cFc!$ppz1!iCGWT7QGVil?azB&2=!Mm_bLwF!C_3W5r_e%u6_9pQX7(
zfkpza6+1_f4XqAG7b*<?F4<4Z7>IbJT_DAbh6Da#5D`Fb%shZYpzzIb_9S#$RaEE@
z15u?;J1>gC$6+*Kwf6msOe@GOLNYY9eLC-O_ZtcH`S#1(<%?*%%0kjw%uoc}LGqb7
z)kkDD^TuU!?dg{%mIyYNJ^2DG*_RaFVVxX<+Yy*P86O@*#ATl9<lduDb1S_;jefBp
zjZp}ou>dVk#PiZ$KJ6<d*_t(9zcvMF5(0G~SC)7{Ede;3nFw*13c`GBk~WjToPT*V
zhx_*t$$=rdD9>g)@5p-rmGnI736!G>&SFQEL1hGO#Tj8o>=4lq(RhOJq5=o!Q-yt=
zonp}L2+IYccA@}qWi<r$bF+ZZ*enpSPzJJ1w2T>;>LmNI3b8M9p{1HyDFU-c+&cd`
zIqHi<p=ASw=U{>|J_1!e<!xBs8&Jn>if!VdxndE&uhznP?Q-eCd@A;##r^vkHCsM0
zn^*9thBi6%HEL30_E%a-CWKYmTD!^3D6@CgK~i}%1<TrVe=X68D+#O6bkGQ2t-tO=
zat=fVm#<~_L0lj1hIU7JTEnXH8dTqEjSrXrzSCq({AFmGBH{@ZBjxaGSTL2?__`q}
z8#X;Mt8QS@tAL{7{h3ylOGknXQ6@=M9_^`;AB9)Gd39LHz4Xi@`OHG`68b#T%&Uvd
z#3z>goyy0G*eui?-UDBHq~;AIE{KLf=}4Jg152TjGZvi4xt=D>R_rV<Mf1LxfI^SD
zz9n-N@WIBcLvCnlP+Ms)ULiyry>$eDg$J)x=9U*ja8R`(e+c6w#~oaJT6%-J4%>Q^
zhE3X~$e8McTn3A)u(v^pVZ+x~QbB({?RF?pctzmz^ksr;!E&)e7{2x<*oL}ByDh)M
z^l{aQvrq--!t)fphSq_y!wN5Zc~MmX@novDGK|_R1u)1ozn4qB83$ll((T?~(6N@t
z?&!B3p&J^FQRtD|3NBP1tMVYL#lNZV7quoTSG<0%%%&Ab?&R`buqc;=wS#$Z;PbxC
z%ZptL1StXOAm8XkUKhC*h}fDKIJk-4(;38!>Ukf+!MomxZh!XO=8qxQZ^AesWl!#h
z5+||>pl4A_!5QvlFK4$9Sahyag^Le|`!+IQ+_ar_-vF#~$gouFAi{>&A?hh*Hrk1b
z`egn|&5=c)hdJ-8Zq^=A53I<+hmFpkor(RUn%5c4=e~s-IpGsmJQ||{^Azq(O#t`h
zI#-*nkZ|qCvk9*}*Y#NfBU74{!d#B&``iNp-@{P<9;C8nXv&iF=K&cm6@A-P4~bQ%
zit|FX2G4pe26=&H+i9|fwVAoGRH%UotKy^~s?bC9dLB%X{$b}wXqUlRkE?!A6<00&
zjE7AuueRqgpg#{a{%076F8T?8Gj9lpH_3YSaIkHoWnSrs5Ht!Mrx^DL=Nz8PYufKg
z{aQLnM<dR{yv--kPYd7Z72?C1r|*=Svrg%$HHy2?OZ%hg^(V{Pzz%k6HTx~(Au<Fh
z^bztq(XGO*=q-gFs3A0g1kGpR_v(cmS{7~5Ul4%{u9NPn^+OKPK`e$iQ|zfX>JU-}
zB0;lz0!<o;K^i0p&<cepiA(WjonsWu2Y&|dD4Iz!WARe(e~--05y?iMw`ROfw~nI3
z0<OpE{lIsTF~M1ki1IkXBEvYY-f3_6cT@YNUFK${Y=^o!5?l`GuE;jkP&eB@s@XqI
z<Ag9@?DfB}tGBPV3!gubEBU+_YGK`PcKgxYv&G+ypTV4PGM-Z{Erfgrsi#xau_BMp
zp@sNYsS)k-=umWnW2pKAIzZm2cC>uo1BYa9RD1Zk5w6FPyx_cJO|ZhQTRkckx2u_5
zW__yJwtrw<GlF)G_$WcF8)GoUIEV33l13)Du>@|-rFkl)*nSIPI>UIXRfEHnGRSYu
z6)>CR&R9G10Es}fEEzmK?VFh*z7G%x#f`9QvLo{4=!gobr@O)dqS1qs%E)ipZ4Ip-
zq)3LtKzY1w$xK5@XmZf-tpbzKq*iEw#Lt_RO!iwKS4gdEyBRG6a??!GsJp{QR`#hF
zkJmr5BkBV5+^)e<CapY*?SAwxJ#8R~Nz#N*HhXnt94%qYa%486Sw!h*r3{oq?<mo}
znP=&^DQ%GRec#FRXtY_Iy&}^VZ=ZYfFRXu}9!RGbuZ&ci&k6`pDrEC|T<fnI;8TrT
zTWzX&aI84iJghUFSCH=fE%v~>!Sy@64K#2@qErgtGljbSYcc`0+W<Ev^6Q=qq=VA@
zD4x)K$iE4A0vyc)jQaUBj>=TB(&aa<J=#bJnOXi=%Tc!4UNSV>#_H!#(_>@T`-LL~
zk~CXUar*3566z_ZV;mmxlxAIu!c`XJ6)$=R8IL6@tUf?VSsl%l<7|u?sZMDP>cr{X
z0dYTPtt8?n{ieya3pc@(*VG=~<j)R@to8Hr!??U<eqy(Z{(|ZCB~3p1<`Y#W1?mG-
zW;E<uw{q;!?2<{G;o%wt_UOiz+HKwgQmDM8jR<TC$b!Ce{B31Wn8I};97Jbc#AY|`
z2S>xtcj>zkhuf^nT>Tvy{@A*3p%zsNDa9yoBYlPB;epXmi4{>Etn(BMY;Z|qd)x2)
zG9DvqvEtwj3)XK<^+Y7?l}Qwm2X*byN!llzdUp=g#oK$_Gizi3>+~YB*(-VM6bjkk
z)s_N6W%R%o`O6)a&`3!<sfi^L(k)4x^@(&)B^oTR=9PTa_-8vdo||&nHm}j1+R1$d
zyK$2}=@TDK@*(}g-^z!lMYj3{1EsCtW;);E#K7Z9poB{iGD2pZDf^!3^v<EaD5bFa
zR8c?KrQG^l+znOsH3Mc)_PS8^GW0!I5t<KoqHjN`qR&S@1TM!~yQV%Elihi-y%Qpz
z)Ne$M+s6X<7I#=U&mGbdB`US)P|%Zu8h6AB<_(d?cWO8^Eju@|EpFcI&1xUHdblO&
zQ&eOIlnXZ%aVR=u5rurA1ldbi-dZ(-Df^!xi0PX!Z!qHZD96T(<S>=7|BRB{jk%4f
z5-C6!9iR}yrgk2m9W2YiQ&qLM51$pk5d_a=02+Uo(B5yIdCz_YeSz`~z0!PgeLTH&
zT^+S&Y@I&6rLO#VwVn4~^`4mmdzXCgw|UHh&w|zd#^?<G11=8T-$fMh2+SEw2cD7c
zXov3Zmoc6(#ND+V9?94V_dEY4KVE8jFs^G0A-cOg-!KVrGih>3^U-d#T`g-$@)#Os
zZ!Y~z%}z}-x%RwtJHu6wBuoUBKzALfdj)8>FoKc_qMPz#fnrkVZVw&|w;Op{_HCT3
zq<o_ahq4w2x==l`Vf_qVcp&FsAOGj+#%piRsj?nQm6@GjX_=xDj9o-zYy)D7e)sEr
zZJk#FvbgS?{hxEF+D5E#_(trMVI3ko!LE+hgEG3z&<C`~6d_pn8QmK@H2*%!_~iEq
zdWScO5S#%-Dw}Y~J7Q4<#}m+cA9jTlKNPE0n6>Qqx)A7mk7iV-NULPQPCB-FPfEac
zaR;7IBS%cGJhhMd@XTuWlo8xHVku|A@{AzFb;Hre4ZMq)zdlmk3S!MxCKxP>?{)j4
z$H32XUM<;kuFI?n)|vxFk<Pv?#&^hQOY(bts!V@~5@P^}Xn~b^How>uj4uBEkt|@7
z--Vx&Mb0ZvI5mq*4rs0em!gL07eV&{y{|dNboybepnRi)ygps3w*8bReBKZ=(&73M
zZm~ZKPY@a9RvB0+6ChN<#Y>_ah{H2^!(@xmQXuBJT^xWAgcifwHlCD9kz@<5E=3-R
zvWhf@;1rus&~oTptWpwR=fA?2K|nqaLt-UTBckQo43wfhJGjB={t3|Tm`lnx^!Vbq
zxn<@_iNlD@j=lZ5HAOMcEosO&@?K_7K61sE`q=ko0M%rp<evgypLghGA~r`#$-rAQ
z+`n$pPtBc;&002cZl0}Q5z8bH7$V}v6HwkM@g<b3BqY&tY|J?P=}xUBuB5$bKBPF)
zwJW)+xJwNa1dV-bWMLY>;2|MEE%6a46A(xvq9dUVaP#L4z?x16B#!ze7w(5A%6Y`q
z;p5a)8Z-IfG5lt*z};VZqkA|DOtxAJ{OfUbS{pUcSmZ^L*k}_HO4Pi#NEqT7V^V-8
zw7R@b5U{KYOvTdx7RI4UxSQ^c%6i?)e&`x%Bz^R5n{f|0Q8Q%=X_)+MB-IiKJFPm7
zUnLxt)wJ@1r%HF1^oo`fe2Fatwc`dyE~v8Jy<Fb6G>0fl5aew@$yxl9BhkUIgn%O`
z&5soT?gPR6Y2-}p`dn)Ov~C|KopEN%yxP&Z9b-5Fp$>a3A+AQk$)iKw^om1&)gcbf
z4kp=8?g-x-`u^(cX?TJAl~N5xRg8g#J!|q|T5>9UqSlrv`{}#(U{^{|6O(NcCyz+u
z@F4D-o(pd4y_;l-c12%V`)6Uqc0N)Udk9iz<8A#3DLC;lx8;k)dI*1Q`jf;LgxaWv
zj1EeFf%_1liI5K@@*|CqGC9XPhhLqHtpeY=+h1i3L}DE4=CKeA%tcYrM}nou!=y$#
zCVC1ICBfIjq9&-0AqY{u=CNe(sDS7xhJ&hjPO##lIYy#*iwu7|j%BzN-gQ%HG*zE-
z-uf>cy4UpwHzyfNHfhnC-8ic!f6-{WEx@f53Fih8a3{Igd{w;t=oYDPbJ~BEX6gvb
z8g5_v@+co%Xl1>*Bnm&&(r9>&9+T81sYvliUz^~G5W0_YsP4707u|TUc1pJB7FMKv
zFN9@dzt+Kd7J&3p30%PW4C|9*=N{DK#r4jN0^Zgc+rwVyl8?8dRyKI2dPgN~n}3!;
z6RoJP=r^y!7OFsFx-=TUtwpJnDP~Bi(T#J_${&GuioH`NK~+8krZ{=j1?x~jAO##U
z#~(Yu=sL-PI_Xol<o(=)^C@VDp7*5_aC!|^a1)98K&fTAwe~PxwoWdLj&MPABm@FE
za6<1)eKy|REq&z6=xO%837ssLSGkTjU6lP|x;Yu(`h30}*|TWc#hv<uVEf!vxd{41
zZa*BH-T><9lH#_rn`m@6w~9AGu>h7`%w_wNo)V3I)^=~GcJeB(pTp>$&Qi&sE=1%%
zd7T+oQdmH29+Gs-?^bN#fZy#%i<||Zmm^$Y6dp3~jZg><g<m@Tr5HRx;$kbVGSU-Q
zEYV56!%X4>1>}k?Q4=+nD0C4FmkkcXBMWBu7Az`Tf~ANpp2PcV<yMx{#IV~1p1Jz`
zKs&Y$OJGcXj|`^@j|UxX(5Kutt#%`@XQMfakTRykhy#2Ye0$0=;L9194{q^iJ(XUk
zekExrm?O_k{}D1<(f)gqMU!O*5>b_AT^nxoz>)mQW!07DnEysR%2DV;=qZnRJq$Yi
z337Td=!Yc87JDT#fy_IXS=wgAW#%ARuowcHA9D#tMfML#EY^vH#ge@58~u1eRN`8t
z<1e-)>}8bQx%9$L;KHJgoMV7J27i`2)5UsV-xr|QZ?JlVq5x8yN&B=8(TuRCSmHN6
zraV-@>lR{IwBgZ%I7IP~xE*G3y`fb$<!<{f{?u~oOz9q2ukcIv!RUT%p`?lX@h7RU
zl%krhq`3tZQd8<zDDq34$l<l<SXrUbSb2HUlPuqpf!s?8^2<D3#qa&r?0&UL8X6ti
z1!|4Q2ZgywAl&sY8?|KIVY>CSXIF*W=P763vOChxVJCVUQ21(*J29!cGT};EYt(g2
zfIF5DY2pUzfe5KL-GcgDo+egxWEAr*$%;i?vq@JBPtwE%-1hJ8T_9I39}f5I539Fe
zC*@3&p02~s?pUQ3$ar44w*cUY!o562=zY`38UMSiG||QWrXex223m<Eu3C|!+3!3C
za;}PZN>oagzXc_a2vjOVHG~>jt*70(<qerDnwnHc5ro4@;;GEZA5oBL6yD7$6(y%e
z`&3Vq<kP7Eis6kBnrW$-)VMRyGpp*POHVnHyOEK!$$OY%;eY;9VMwNlY?+=^t*SZZ
zgq6Nx9Kf^&u<h@zYYt`jN30<}_5ZXbjSuyv<^W5cI;2aU_h@LJqI)5+QJ$wuwE}c)
zk%p<S=fJV-6h)&nQNzNk3xXfP4*UA`ffv*Rq2o;FOH@>y*Nfj--IGaRMuZTH-wTtB
zTt-N=`8*J7U^%u~V9fh1BCmO@VKH_c!1(hFnD<aLy9F!c1S@W0L6%~|J44+^7^!aR
zBgn86K4(~46DR7jILiCVU|)rTo#>@(yVTkK$!B;;GMvST&1O4z*CGf%DNrtuCr`Z+
z%i=tuCTIFXQFhK%)d?mz3n%ctT*H!2Cg@Ay(LsDOL?zU7wV=^ZPHPCe5X%trcv;=5
zTVWY^{KO%RW8Hho{xWt@Xe@oksuZ#By3B9X+B9`k*j&g8{`iq#MEpAokNt5U*1mtz
z8+Gi7xAkaq&+#kk`AYQClxo|!z+#TIpK68L;Io}A`rVEKbiAZBi4MlQi8=i)NjRZG
z-!Z}A<LL)dXy^`{b$6rT&0rOcv#hH|7C0Orl!Z(V94OU6w!sg}Q9YgqYi<ww!Tmw#
zr%JH8jU_d~7FmE?*QeJoO^*e=Z5+2?3S{H6?;kxDof5++u){B5U@J7fQ2m{Uhm`5w
z`Aodts}--}@a;PhqmM2I=_$iHG8JA(B2GBtWCbt<&t1w;K|;TnB89+`M0gc?YgWzu
zp?K#tva6V#iEyl8E%2FQ{vH%QhAMu#*k(lgnHVbm#^AOCM4Yn(aKE4a_rbtgloD`%
z8cokyJ8oAr^i}DIor!c6YmxN$AzKwcFL=^u6@6GLn=v`m?=+}}=(k_O9fkmOvNy}!
z{3A+}lFUVJoh9ilLuv*8QMs%6Yj@esxgLw(v}Y(23teUdiDt_U^wF6gYti>rAn9IT
z&NW);NzWVou4Q;35(+;jg4EKe8bdUHSI6dQ+1}DTid@1az_Pjvr4>W}_7mz^X#rvz
z%sgy~&estMB^*jZ9@d)|0y6pn8C<lCsH=_59hwVCJrHVRx<uB}Uso|~6d+F7<%q-Y
z52uhQnO5DkSVmuFNKzZ!Wdt`ix1&$3)F>k2oH)O(yO!Shq#r{`5BD69YH7*Yr*n&(
zaAp2bL%0Pfm$I#4c{;dfqu{_mrGcmj)cDMx?Vmh|Xdlgg7bu3szPl94WBcYd?AQ<G
zaiS;pt&(Wa&H(+p0ZlC|gYoYWv8?_QoW$bU?{R?S_KtXEp3U#j@*T{aGS1GN5wY`l
ze(gcFzsxg1{eWr~fu|$zT4d6^9S$h#r4<x73rj*4(m3hW;sSa`_7=}0CEpXvD^yS?
zpaPnn98pp@#_fdD2KN~vu#>Ic+(o_g?Vb+PFu%LsWv&%s7QDW283Z;4rD|uI1L}Rs
zc?aAjKO32=g{0-N*+V~7mYi9#)x8co1$5l-W9!W(D8pdUfM{I;-zZcA1AX4OWOES7
z-+y(Q`>4AY2^J4=;*V(0#3Z1G1PS`~3VMq4AOolGhVoYzETP++E1}NhOH**|*t<<q
zpBQzvGX~TaxHq&6e@$J_IW(J|GQ+qEcf2}RS1Wsu<v$u9p*~aG*ql4?U8DXwMiP@?
z<VmnwGqmZ0-@d@r1)twWC=g8^tjR;6s<Tux#E11h?z^BhSL)Cml$2VNZj<_^s;E=f
zlJ$uOM3)(gZH$*Gp4NV`>8O2ZbamCyPqFK@*4JcWIX(xb14coyAeLUZM)K%%0vehi
z@eB(MNo<*XO#rPjxcA1io)q!Txt%fZ*y+jvd6%`d&sxOF)}&Q(Jpw#W-MReDi|we$
z1Md+6t8IO4-ShHjgRXVU$$Li`&(V9IRNC5dq`MH4J<Hc-)P>aFuwW%K64Sa%>C^TQ
zE3*<%D34#6gW8z6YJEXb>9?eQ1xTqUDH)x7bUrfp*-4gddQ0^5tmYg<RL>YCe{?Wf
za!u7nqfq%{x}<HPMV&{dLw+JdF&mJr!UPWL8k8XiKXbr-obNIHXgg#(Bo4XPA|1DX
z2l<WM0M_4JAg#=#v^v}CGg6%ux2IXzA)}~FB?oe6(4VKK!qAFpjoo1fyqrwr02QO)
zpeG>~vw*h&53}(M*1s7hU+l55C;4@gZOj<)cRK*gaXC)i|IcG-bs;<_PlZ&{L6K@B
zTbojBiL`4u3OY_hVS%1(JRgJAjn;Tj@e8%)8_OBzXA;e1ou(HTUFh}MIC4d{Y35k~
zw?kUXEtYCCz`e@iWY{m2f^T1srE9FheVI)(HaG1Z?|<&dm2~M%PBJD_G@B1dR&O@c
zb6f=Fb9WI@C7f8LG<r$SlQD{H;-oaEQ~`$ix&F+DDmuyp;CK@mVOgrC*r=JEG@dut
zkgKAce`7S3Nz7jqs$`CnrQSkZ6OWJE1dpXdj2uuL4ySXeT}o%d9NhWkMW13)zfuXl
z=;z0iG1_ZerYl3wXVSc3T)Sq4Ma8SjWr^LuppLDqVMR%+8e^cs5qV!?KRlj-aYv@^
zto+?LL$q*Q3^U%Vg87o+*SrBhRS0kee!}bR)sWB!18?s)u=$Mt1RCWrqE|Rt<t93C
z-CXi3jZ##p%1v#++)}l;iNn%I|ALoG%@C5`ve9{^c_q7!&qgH$!w~(vKQBZwj}0q%
z!SVg(`Gy@iEITybWqkrQ;b_@P8TAMrVr+xJpfMIh_=UVhTNYF8O2oQHdR<}Moct*P
zIhLZ>@gVWwEVQlHljb|+fJ9xLodQX!6MyunXLk_(d}fpi#a5uyBgU_6hNL9!N)GVr
zeNQ9IRq#>-FtBY^!_iC)X#~T_p2&s~)X#Ma=c-O5(VU+K#6q(0)Aqj8z*(G&zPVfb
zNjLyTapS0@5xe?tkVRv1)#Htaj0$F<Hf1PGmchSCrO~?#Mvx~Y(Ja%oOqe+&SC<+O
zNWD(s7jCdlUVc>Uy-c*nxZ12aH{GVWe6<gx_1p02FP4HfX&`%han-)`x0CAh$yh&@
zXO5qf{y3yMnemn2UD~JC%xbxi)>My6q<*uZp~?@Q?sq@W98WieNQ<nL7ZOHrOkmcN
z*DJeLrZ-=VL8A<RlthpWxCM#@4rm3*hv7#UWe#S7cN(fL<n)08e9!r*IG=(KLJUYI
zUB*IJ*00lIC}OYFO$f6<6^gg!J#E01w2xI+sBBIutt_8m<sQza;Z}dQB$fy?W$_6#
zb)J~SlD8+v`_9Z#m4?sr2v9<gOj4C-aP;(zITOo~_yh*e3E=QS0+|5jhqhNg)J*B~
zusD)^_K*U~;GdcUmL#6i0_BhKPDITG5>R%#74SC$0v1xFH-fwei`S<hN&94g%2?&e
z@IoWz48)8Rb&8MKne?db*VeL^9=I)(WPvH4uH13{I&NBX=^X1uP6AIX(EYYK50H7N
zU>UIJ)J#fGS!c{YJOm$O!=bQ`UrldA2ic{tnnXi(hlQhzQo2!U55w~?a4_HG?yB4S
zE<f}%b+1zw?BASBcl&iV+x4j@BcmdC?BQk$^JI@;+a^bKnUqnYT|u^@Szod+xMIw`
z`mW4GVOC{DIx&BAj)aX}nv+8CiiHZtK8<KqV$-tRP20TJkrYfVtC8Zyq@0d>=sYp5
zV%#nonF?VKn)A+acf>rkRlTS>Zyp&WbLo#|;PIIu*hs2E2PI#%m$e$^yIN*|R8L<1
z3tuBNb-PwGUhvK*=zKvpQrDh&vw9Hp6n%c5lI1fWYpZbZ6o*`?+&2EVmbA5^L8RNH
zN0SnnuWR`jy=rZv^QR@ZyA#zdtXJOSkI7@2SW4I|a$j_o3`@_-L=5$E4YtO|raH7D
zM{x@_3N=l;f!r&+FxvPg|98o-s2lhi{D?;k9x}2oyg!egDo|X_56mQRFhJx5ne$On
zACBt(OoHU`VLI5d@deAnofhnxrMeTsPZv+cFaoFzk$8_idEe-dRDk;_Zs!!X|LEuG
zr{Zz%h?TB*8k1i18LVpk&0V+OG)l80$P3*)U#<grw+9pB^nlGa!7=Y)*#pr<@h6V(
zrOzGayp?;*Kqgi>>WBMk{LTR0lU8|F)vxlZPlw%b@0Mr=xFH4@+0D~kwNTh}jpT@~
zSnF+pPECYcqm&oa?M3$2E97CR4kCR0aWg-PG78(om@|oA<C}(LoZAGw>Cg020n2%W
zh~%839=f5^<qdE`5`gcCR0HAR&8SbP^<{!DL)f%h05^cZcLhb9RzNelRNUtBCq^hP
z<LW7QI8Q&aE4>!VatcWjszF0-o;+ZmTN&Xyca~3`*iv$66qv+SgG4tc9;qCrs$>P~
zB8yOkWof&dYaw&)Wp%v)a-xBFyn#esfl?O>-bs#==n#o7AuMvnJ!OR$9(mu~Vf}mx
z=M&onIp&A$V&O@$Ez1W*_PK~|@QeSF_Lrn~{ZK_~GiCAZ3JbRS#*(JDlI3Bi=n@(f
zWt0Jj|7vT9tfl3~+uJSXnoat1Kv)1}7F&rVR9E46-NhkO*U96Q`Sn^dZLOAu-CU7Y
zXxf)*opLcqs?_AJN)vGuPlGw`aA49%H3rQSyg5IecoC)<W-7pc!hndtT13W)UR}Jn
zw`fL`CQ&UBOlg<8C<EaL`$vKU_s16Rx8n=$c#_fS9~j{{+X$C(JWj9CMefm|${l#E
z)Ff)CYNCGag>>ZLrDqaWp%4f0X_)#AP@}`{J+K1wN@-YJ=}xTDAGF*DC%JrGB`B1E
zwE#DMktP+xNE!><qxI0{!GPpA>?Q@iydH_S`PRjKwNcCJSxPCI+H)$eNYymvt9>oi
z6^+z{^O3$P^(2=tW19u4<R$Iu=DW9}f-|MVh_gRgJ+B(HuGCf;q=r*F3m20PlX*8K
zHWhXUi4#+MUXB~)3N0PFPg;}{#&~<VLhA;*3Ev)c>gK#g*aHMWukk!{7fYtG@Mx!?
zOq&#2-tV`j*-5ABsZs<`2G0tx-`Ztev!57Aa6aka4o|FS)w41{0i|vN!rb%f-EVg~
zV|?*b`$uo!WL{IDnKH2tdV|3%5mQ%V_g8=tnwkjDyeYcN#T&Ftco%SN_H3DZDt4Bu
z$-an_l6`V=<BB0cCx2Qik;ZmMR!irCrfJ=*g}j09A5>yS&wIB1@LMH)KPWyW1$M($
zU>G%Q<NdA?AE@w@Ju0^yyaLmp!#T5VUZ{r&RYMMtreWQCf$n=zjsqoo&q7J`fpb&{
zlVTD{(j`72r}HHdw{gME9hS^TB_S<;L5~FzK4KX8e$~=sgPA-0)DHSJ-D3~KSl(#0
zOlF=YSCeT?J6sgj-jkEVKZ!m}y4B>@b4|Z?o&b=bO|GYU#x(YnSrPY|ytz$ttY-pc
z?GmwHxCu@+XRg1q$uf)GrLsRVW42#<px#b(#8S>TZ>IqyJKfe6*W8*^x}h%iQ*f70
zBX$gAKA+USL&Cqa43+sKse24`jeU4~P0$Yh7qG@ZaEbqoE%}EJ{ok`Ce*z7lFo2M6
z!QTI?%71B`|7BGC2Pftakn!KTHvbQF$Nzz7^9R!ZpNPi)F53LT^Z#u7&!Wvg*8S^S
z_zy?=@1o8B%~AdT#j^QF4#mG)Hvh<K_>XZ0tbg>7znaaz6#u`H|3704SpKnO|D*Z;
z75)Ei|GWNg^uXUJgTK)Otbasv7M4E|1b<)uD_Y=B`@fL|fA{&Pj`Pntf7|}8^LP38
z^ZqW`82(xFABh2f81jEtbpCPT{&gb$FU91qko13$ub~zHFGUB2W=*(;qzenmH%|UK
z4<YRl)Y2>i%Uo@ElF(a6&H0x&oGXr*F*6w^$<S+Q(+72&Gv6ulMBZ8D4Ra)VwRnTW
z<%I~Po*NI-fHM!Xb$r17oMW0<i4|MeH^AX8yL`w#kw>brH>z{AvE_+2#%a<6o6Ydk
zBlTrxRI%fOgY9K7L|whu9+nz1U;Liro_4yg5Ym~Y1+w4k%Wt?7@9)_vqJqLn#{$to
zq)Vo^kvwz8*+ED6k5fAw)C*r1M-;QGGTv-na96$dA;dOf8**sm6@@uChWx?>n!clA
zBu7g4aBe`TIk;keSctyr^ZR1BrTUB^`*YCl9&V7ML?bA%Qb;VRC{Ugf&#3GIy>y~W
zaUT+h?{*F}J1W1VpN-lfyCUwklTGj+{VM}>T0v`d!2NW5b+mh{11kM=qPW4kK*-3S
zmHzAoqlEGfQw7omqeb=kHQnf^qcrHdJEA6H(Mou>ej5IyXSfF!TK`+h%*L$4+}c4>
z+2aGm3h|inzv>VEm!I|jg7EoCrD$iQ?`U9Z<RGm;^Vi(}cfIG&)knj~`bY0!VEhx!
z!A}1lu>F6>d)OFQ{<i*~*#4h=|GxWY5AoO9XZ`<d_x$5R{af^3(*B=Rj=vqzf3kc2
zv-kDSi~Mg`04w`{ruP5Y^iQ$>&hDvnchyu}dU<l4Y<<f-n56IfCTRG}kRgve#2?L3
zQG`AORs`4)1PfKF;d>%~L}*iKpl-y9<|gw(fu};mgdb^TN~hK8V2PQxVfpv^lx545
zK%M4gj9yKzsaB?#gSn@VGo!<Co<DTY6wi@b*OWai7!(0zDnCYP+vg#T?+Iu@7-Cpt
zjpfDQD;$D1STj<uG9saueAj1EqxX8z0-}E3nE@8oVuj|%?we3gd~l7_A>1SrI~IXS
zZG`o5P2oXg@`z%EPLG}0hxAf)f(^+Qk&yG=iwU-JlVySI-P;af79^{+di_n8!Z2xu
z9A;C8*z<agrt6i-jJnB<QQYVc;bCO1D%YSN-X8;%?htndM@rJX(I1wo-KRcXx44HW
zI3}CApWD<*k`3M;Y)bfskkvJaRZh4`UGZ?cZgtUCgiL{7!p3#j;^nH6XfRW8%5FSO
zJQ7JzKair23G=SGSIBgA^w?I&cq2T$LLU%D1Z!cUdAYxE%}|Z^c%ow`sFS5oID10(
z_$W}m1HurwI;8x1lZ8;eq`3vjR!DG&-i~4Hq}Y9*pow+HNt>Z6UA)Owh=i_PGYy-r
zd80PO@e*nEvrAnrM9M!zRh?jQ4ePg?U)l6ldY6bQdc87hM$}&v>q3SLGD3z`{r6)@
z#PZ~CkoP%4{D)VNiNV7~hl%h6A>3;{2E#{MH-ADE6Jz^6bm3<X?%sTx8U8xrL+l2I
zpOtpILH;@$Vg=UN&8~in5z6i}{NWmwfo~#)@DlQViS77j&V*~?(ut-^+9oumA<+-A
z8225Js5|KW-J`1-^r`_{FIa5+<cwT&f>AGWZpbD7sH3M|$7?oD0d`qDlIUKI=QsKX
zy*H+NRP`yZpPdC~rgSR;&N0e%0hU1{hIiNcpHX+uTm(D47Gu?^8p@nx@{I0_<JS=<
zb75U<juHS<JH5?k+g1*>)O`Q^*$=$rorbftvf(&#dKh9hqznc0<MFaHlsZ2nqrGR>
zUnHy*?;=07On}l4J=$bVawbpFo}H%XA2r`Hvvypju7AnWgA5e7Xj<bVeRFV11_RZq
zu>`OzIwyl!fMj|qcl4IQsx5}%$}%!uNAdS>$srvF{N^vPpPYcZi2aR(b5&9`0Y9mo
zA2~)M%7R<YxyWhnhaD|A=}<$-Ovd;?P7;>M*A#CgqFi;U*;2wOAD0#j_%rshvZ$Il
zdoHtrMO70um3j_?Gx6d1rlkd;ro^_`#M$C@5Oyllgk)oG68reLD6_OY$<Pxw$)Le^
zy%)FSa0nqum}%h8uIhSl4Vt4c&g|#=I0i=c<NWP>jfM)DM!v{4^_o&=mp=9SRW5UT
z{Z~*+XT&$&WGyYdIv80_XX>)3Y{=oVc?04Mwx*)^#T%-wAHR3CdaKVdelvQwYtj4H
zQ_3elZ?11&t=Cf0)1sH!crx9DFM(!Kms>A9z`eKFNxRn+5X&@Mlymiws6tmuRj}AO
z2;x2Js0D|s4vo~5{AQwSshva4K)v#T1D^DE3@@+LKx%e$Gj`6i5L;hJMW@)ggArOi
zlh{SxHvmUh%EkxxM~{|)Dd5%OCymA8jh@_J8BVAWbALE(%sg={EeG%}L6j*larUu@
zb*AY)q+v}K=FD&$67tgax#c;cS6y&*1asacj-^WEq!ra+P10CGjrU}4SLnCv;<r^O
zOwOnc_?nB6{M@*v2*qoEthBujFq)*@OUCGObW$@HkrsKs`eG=Y@6YHTmpQ;Tz+9&1
zE`GNEtX2qrIz+}o4ymAc83gNMDM?Au)o=LXmK`;Vb)nzP{pFMdr=_1-(z+~Si%}kG
zKl9_57#4J)hovVCe^kyzk3|Q&xN%_XcA)20c&v=Zn#`e23p$C;`lzxe&jlH}Vd{dI
zTt-hZgYc=q<qW5R`{Kgh&zIxE@q(%i!npzlB0~3V=Jxh6GM4jm*_>E!X}i8np6h5`
zY0hk(rCX8L>(}M!<M!_9uA(Hy@wr7gay_|(SRo5{TBMq&|8&!_DaI-qT{*8FzK>~J
z(<=rzXPdS1#LSFK<*N`-WzB*_u*Qp;Pj;*wzs9c!%EiKYWW4~eMWr6|n#t-b5dB7q
zpH}=;S9v$Aedc{#w$BMY7U(#>?L<sb?H&O%bm=Lb-^TQ*6IIdlQp1f1k{n5p=gMmp
z_0+<Qc$2_YDQm`ika~74{V%+hk$F%GgMMt1)O481&gB*rr)62VwVrH{a@0UK+4!wW
z(8C8ISaZ8f^#mh)e&(RGc=vvAU7GAf{+ha|xoN^}=JC)tvO>2(wpoRrv^rS>S$niZ
z&S);$`hBE~)`^KW4Q}aM!;f;R&f4VAL~kPQCayh_759@wHc^b2400o7tuWx{Bqkln
z&*|@&M&X90u|7!R$%I6K!%EC?B7{UJU2zpID9!o-T46tHDbn)D;|R$W2_#&TxmDFR
zOQ|)rJyEtV(`1}ED7u^$p+V?d?4Opup4nilD6gcnG&fqW%F=EpJt|_#qe$b`LgS%T
z79zlz0rfc^dJh2bHIwR)AMufqbJ0P9v5vkiH|6CN9Gt$E9-KdFtwu$@1}C;&*O2%;
zo=(!6BXDnbV7nB&B3kr_ce80i0zX5Z!wm8*sHuet)I!)usLP=Nr-+W5J_kzyrhB#c
z@Y72~`k%-Ik3YWevWtY+GZH{V?Tz-{>WG;LX<bSP#$6xxxN}#3-?bv@4?gaX7F&sa
zDx&VYWhE$`gBDL09ab_6h!8^Ly6u7%AF>5yPwplWWXvKloM#pEJ3{oa8DQiWBjsg+
zJ<9m_PQY<-!$_J;<kFk_3EvWRfmrpEnLNJYSDi};4>e9)XmmhL=x{KQEc8hDz$<<=
zYglk7a-1e+)%Z7+L3j~;E^-EFcme&8Aoj;iAe*_h6SMZ0vYH+bVr<AVLUt8k#Kofr
zU)w6y)kuF7V;43#^!AUFVwa`P9_<~RJUR4Ic-itMfkt2@#u$qX#9B}V$#?bC#XJTj
z$(a&m7!nUZk9~QZHb@hh^<B;2GI`DE2u!A3giues$X!c|e1IQGTEfmPG5WqNZU2h9
z*suBHUQhgW`?t$%Kiy8OKa-YFWxo|{y?1vs*Ed5(JVA(m4Y60J`e)aMh8&8<QSBht
zA)tV#DdB5)cBi3|KLFGG99K?@umBBV_jOv1T9a8*Ed>snyBfDe;~2}(PrviItEnGz
z-E<vs9iZSEc*#weMWHNymakI~q<Em1ps1vHQ{a@3DmJCS+fCgn6ewTJ#a)uI;8CxB
z3?xOS(UR;WaJ8^=uba;PcHR!Js2u0%mp&3SmGc%kClcKg_Kp601rbETN2#cl>cZ@|
zmPi_gr^ps;BVaGkv|;ApQMxp8Q3RWYQTR;;%OpS2lPo`S=C~g^Kqu7e0~szb#yl{-
zu1*wPCQUQuD!$$?zdg&4VC5{<FTakE1>1Q`rDNm${yZP|DOqXLc}O0k_M-R7`dwh(
zLAtNuB`{rQ^CAA0Z_*5d>8!{f`{|Q$*a*IqQjth0J|x=%@6tT+Q4$x4=&aBRNy{&s
zsvgu(k|1<4)`wc4ED1&l1l&ky5~^(2i$jz)ZfxJYRlquSZ6EYjPc5451{v@;iO||}
z1m7yTF>$H<<kh?nG3Aj$x0bWew1s8@sFtoP97bZ6tVAODlgq25O(UCF9gBH4qGZ>x
zP7Pak`n2z2>R&wYljmW2ycEW-dX_@5?00-TYUyd3pW6(s6|=Ue-Gi_NHXDIjY?kL>
zAefTHUV_v#n#+ioNM4YK{2=*mnh?xw=u&*DZvd+CP|ABfm$zE|t*G&r(Vb_??cxx<
z{x<9>#?1)F^IcS%MONGQSzvwoh4%sz51OS+WxQM>7F<KeXRLv1Y(=L4oI>~{E8H@i
zhbUvw^1YV5hM$gN=7EYcB>vQI`<5KU&7&Q+=ylXwt*p5q77epSVs*xQ<v&YLE(ce3
z-SS$p6k3u(k%5XST(tyLe3QdLKaS1=l`20z&a&14y@&gF>;HqfcaDza`5*POv29x$
zV`AI3ZQC0s8+&8h$;P(1v2EM=W#9LH{W<6U?tgdA=`&NOs;jE2yKBx&KlOT0xhVH4
zTRGBK1A+rP@|3)z3gX*(%MT>v!Mp3eC6@n);9dNdo5g}MN7!dTe~q;)I&9ARfP**a
zAeG?-HxWxx*h#I|Q9V!bG+PJ7ewfU`KPdjCl?!bm`Q3tVZ~+;^89>&*)=hP&rPOGO
z&xI4^f>V5>khn_|7LXBam7^Pj<FN&eZrV&rgh@yjXuJngZH@W)I{f@G=C|B%Hg)AV
z=Y6Vs3+9Bd2C?`dlyQIZOXNW7^P|6=1p)Z7A26u}%ojZH#4)b6`cqNohr;iOamW~j
zc%Tfl5XG5W*2;1k%Q0cs(<I;-P@Oo~@C2-4n^HrgGwTXW3MzC-MTRX$v}SJe8bNns
zCFtx-yNeUP+C5%BJ{la1khY`irJpHf#j_E59frrKvfDP-WO=){#UWx;@LeQBJ#$*A
zV+Q5ymjQGbh-&dZxdM$6Au{#&))}WbzBg36)&z&PzJk>X%c&wbl=QlF1(;HMvQM>7
z@hSte*;A@6e)rV89#B<WdS?`}OaUxGB-Io?zl2i@ne79cRSJ+?!X;DVlM_V44XW*N
z?<V<Zgfehn_u(~29n03Y%Td>o(ojnCMlkn>N&{9@5ZM%Kr;G+NSRAZ$aVEA%u|=R;
zZl1J>FzO3thxr|A^X?$fwOJsDUNbApUtcj)&tI{|u{$Pzag+hgN~4(W^`Q*BBagul
zd=`3GTQeQvz36VM-0?9{L7R;}2HNu_8vjA8EUx?=h+mAH3s6ZKE!8GZ3|B@fC9^(4
z8OodWGxiQj6zYoimyPl@g#Wc0ya`?H!>a3E*@QtwN~~BDzRun%nuS15hayErt!%|#
zom?cjC_YwzQ&6ecc9-KUtjIhd$Vg0wv=}C{BkNH8R8mrhtJM%i4d|jBS};T@86}+-
zW)d@X0`1r86;-&v_TI<piyf_XJjP0&C~LootQz{ht<3A@k*`b*jFcp*K%1|OYAkHI
zAZXgWrgYOxnM2k#J(L?ebC|_MJ7wpfKZ@GUO}1j5%J3Up+&hGTlHX=h--j)2Me|li
zvoTz?zwrjsBXXI<^$`Q|Vd*st_<_iTEuuIqlQaSLM!va|%Ek`c1VVUARTm0)nJPb2
z?k8;O9pLwtnuxO))YF}6=E(;#mUp+0CY7=P#N7|zeC7G$w9|3~ew7^7X&il0#4E)f
zK0`Y8b|*0TAa=i->xh*;T4y5xy^q91?klGRd!|t}SHQ~Rgo%ZC855IsKFkeRwHUfK
z{x|L9O_*pyIv9ZT4#21sD<tCp0jRaxq|=m+D$C?Swp^FtdL(<}@sy@^?E0-bOIyk6
zA>&!O*_fA@`%(Q&g;}Qad2-dAJX*;Rc=VU}V5r!rVB<73gTD{RXwEP3ib%?CitKKN
zb@n!3It^Xn@6OroJLT6M;k8BE>YS-4ohva4a-~HB6R-*A1;R9ON!G#01K=hBgz-!&
zG)kyR@Lm;9N9KQ~L?WUP@{;d7nUTTpgAm49JoWWiPZ4#Q3EK20&(Y-W9KZL`z6f5^
zKdl+pF>zZJhfQ)qjYfhD8U)UugKb&D{n~+W>mR~vHjc0lTZojk<U1xDLaLyGw8?Z*
znbIyQvmQ1b!ia#a{bkT1Wh{=Yx!0@%kH|2s*`^~pNZE?GPl)%^p!3=3mg5%g7R;Xe
zIpVNwf`I3l<{h)BTcLh{J1m>i9daQp@IY+qTPoA7QGCvtV?l-_dJx5**;wGZ9U;Tu
zMCw8f3l+}9Kaw%C<wrlwXB0+7-3cu+qLHZ*$V8$el3#Izg`e(v7@%l@711M7LC(M;
zylYj^?`ixfxkEmtVH&T#7lNh%nJ4L1vz<o1il%|gPXp0TgF|dF{9M9fN5FoKsocYU
z47}iL!LmYHl@Dd3@Mp6yLlzXglB@yGkq}cWPdQ=1nGZo;KBzZY6>L=0N~+vguvW6>
zrBXZ*#F`SQsbo8%^-TBW$8ga?v(Nbh{i-k@-DjcPq&w~Y!P3L8ATTZZ>>h^B4S+~L
zRY3CeQrB*bw7u}npLr`OC$xOlqcbYbLr=_LCrV@36e3_D4|?4-aEpvJA4d7S8Z6_(
z{oISv>sWIhBdW*Yi|M0{WhLBLQZjM%dntWh2C3!&N8m>#zWN?fe-!$m@8GKDjytqV
zOFS*z-(!eEBI6h?DD^9EY<#FrBP@w2&O-4Aj!dc5)edu+4mCtYkdr$KD9i86FcrsG
zMp|)6cvLQVWd2xrYXwLe7-pl8hBcWPO188gkR$8^16W<x_qp^C@JT?GvGQo?vwk=}
zMVo!_aMnoKc+C+u$MoXEU|dm-NQ8dSn_ubxbPyrf40jkH)K(y}9LVCHXZl%dXV=0i
z_(g|BixlH9B#wy`bV(zN5mFB1SubbJvLTT&mCb6mqoG=fd1ib0*)6N<Tq)J2vODlk
zRX!73+azq7P}Df4-*c%XTb5{Vb-n8GW8aP?oZ?!J%XV=x_Tz+D@Ui=s&4_e@;4y_s
z*(GU;c6vj1LS{5H^dR8l7fGUpRbhG*U{3MZUbj7OON+4dc<li6&9~ikr#)_;2vXx4
zQ>_?2?H}7WjYEJlE#E!E^8uBHTU)#DZToSjF+RdO?rM-k8}<qD_EkII6t`9HzM?Ft
z`dBt%E0)ixHmJP|s)VH#919lqRhFg+Erjxm04v&e>>rT#4bZlclB5gLWti114*YDY
z%<}arv#8>}+2OkLKh-jg!NWxLQ^S1~yKk%RU!WkyWHY=d7f1JCT%-2##+OVBs9^<Z
zG!;}Lw{9SMoqqWlOM(hz0vrflD3UuD`Yo*>Ar5T=*CWvm6_2$`1(>SMl0`Wt=mZGy
zL=I1*w0u%Bde146IDfnZfE|gRKfzR|Gl;d@?l5AH+=o}9tnzv!X<F@Ed?M{eLFl#C
zje}tyK6r}0ng=BliG65D->#qW#)(P<1=k;Nn5u~T95p%on7f-$&%vRs8#84o7KV03
zOh{W`7v*U^fKojDUC8!&({)kyqo;O^fJP>p&EaPD%)Xm@^Lh~{LNc5E?#ya(^Wfd#
zrR^YsAPYuDRs-^L=wrz1W3*$~)G64WR&gr2Xs^}YJ!-aqkbiF`)2!2T`WQ49n0mTA
z*qo{|Pr8VAv_~B+p!QvvoMk}8;#OsJOFv#FW#6C%GqjHTjvBxl(-uE2oP*4tenYDU
zkMr_c-IjoS+c(BmO{4MA|KTG?BgJa=(~n9E>6QLg>J|h*yMX6;w{+>-Yht^zWp+of
zgS|uMvW*4)h+cR^`;gznUN!s^T39hvb4IW#$Kv<fvoCRMMnN8_WQJ>;lepq{2{NZs
z>7OJ+hEn;mL?|~5id2JGZbseijypjG`UV09!#8BydPp~#+#ZIjjlRQ7n>1RD*1q#3
z2z-+ZolghQw{rApMr@0+Z{~Z|oc76E{o?j%Pq;hd3I;;ff^rS0`3NCL^W;!(wHU4I
zN`wftz62>=wf4>>-6F-m4hcK*1t7WCyUN@A$g3VkdQ!}pf~LpXVx-&<aoU9D!-K`I
zI;TmcBq|8EM_l&zPu*MkIM?h!ij#hY1(G@vwg=&0Sdx);OEFsznUIi1dtxb}cFpGC
zs!rzQ+o0qo5oKue4}hs|WeY`6CfSnQ0T4lF`ysYu!`n!qf~tB#dv)P0gu-%5h=Gu>
z1yT@g)t3oa_>AJpe4s#agkBuIxD)5LL^&X_fUuk&n3&<#_z9tu5e7HXkJi1x9(tw<
zh_(Hr+VOPhjNE_5710oCHUyLrf5lmwa9DEKa2RnI$c+Op70FxMQH(_odjVcO7jD;y
zH6b_0W<gpYjXf``!AsJ!xuKFTo6FzI5Iw8Zz~uS1(1+q4B`Yqw-9^Xt*^nzYIzuQX
zT0dQ49!1CooddI^5ZCX%hZ*BuNv1_diEw_6=y*sF)Q-ER<&2rvi?|^|4TMY#73Zz!
ze|5Wmkba=`ef*yA@yBo2jFgY_+{b~=7~|(}>-cR^8~%w<c|j)O1iAQgA!c4GnMz--
z+u42g1j6tghJNT4!D>uFJRuE?;H5dq0fpm&BniL-6<Hingo^b5zE25yabDD5X@Zai
zcuaLSjxd^N<}Yg#oQ<k++7A2;kNVHtY-&4h-Fl&*xk^^oS1FLtrO_1KCo@;U4_+}`
z!nkz<FDfb!>M&8qI_1e$@K1dFA*)41P`K_l$!Nub-&7FtkYo<g{Ri^Lrh;~j##N}9
z)!iKZb~V(pX6?uT_VTorrFFP6VJew0os4grd46*{uyjMjO=QkGUWRsk;_9$gJ(oyr
z5Tdni?x37csZUswE8t$eTxnRpA-Vr7<q2Uu;uMB0Q^K9ZmII#_+Dm}K%aT$$CKAnK
z9SX(ef7@4#)RHO+^JNq>W(XB`lK;_}3OJ3Q8a~{YstcKWF(tld=ZJc0Pcf&AQR|IL
z3yE*hAWFAM8w8cKX{Dr=DXWxFbMDH@uW#-%nc)0gl4Fa0HzEB;bJ^E5Bh!?pB1NJ?
z0^J+)SUETA0UEjbMp?Ihn&=L)Zd#B-lmrPDi_Rj)0dvquO&2QW@THO!+PPu$-Y|hq
z6U`wZp5zC00i+SAC@31L#7rqNgb{P>lIZ5rlbf~nCT&z$9=1BowgjORZIOm0V+FQR
ze$>)L>&DX3uNq|Bx}9uH;}UY3VUP{r>w15X1003hs6agdS1#$m5jS8d{38P+a9#oN
zl#vZV-HSTI$Sy<#3n+ScLwB!k_(EGs$EFsGIK?96@3^qPsmw>q+yk0dMly)xl8Tr6
zxP=wg9f}wP+l7V+qU2_oVu)#*Jgfn6>5jJjFf^d5IOn{Nz%THi22in4tvd3M2{607
z+_qIF!&e`my2~yv{CA}imyI82M#c3kR`~BGk2+oM1wQLl7kX~q79sA90b=6i{f9Fz
zUL&nvXX{YUlHUSZSUKlH{J}nll-iXN%W<;sj^%uNk|Q-75ToNVKF`8-KmN|CVMvAr
z?aqx4p<laGAO6-3hONW>0uQMhc@?teJV@z2jSEDCk=!@Fl+dy`KFayfHQ_ZhJ+~BU
znDX)RMF?lJ4UJCleE^mE!us4%_6I|^5NV?tbaw&QnA-AprPHhKmQ={F6XK#zv#H_&
zIWrtVwu1A)a5W<uhJgjp9CzEG66^6E)^a16<WfZcYPJ_i5Tpwd>rn_Eda=v$Ttos5
z*PGx<x__TSW@jZ(h)y4ekEyq(9{r(JdZe(;Com5xKTjI^mYJcy>!xq%PybCRVu3Z(
z7UqGE+4ubTkZv01vfbz9$={dA&Sflgy*52I;rRgiA?^x<$saWVWn0V9S_JdAM)<~f
zZLradsPv<pUFu|jXqr}9c7j%-R`P26_r0Q^1G8cQDeM9niqzY4l*6X2_F{(=Z5gb=
zQc-)wNl3lcO|DWViVn&SnhwqmA|2`KR_rR>3S|?J5#7icGn0)uNxLke#de|Q#0YDf
zJ8PQJz+R;bVO=VCnJGim9;L=&dGZQVm^@8oS?GbnZ)yav`jkkL{U}7)xS>SL%WF#d
z1i~KNb>cU$`P@{_SJ7e%oA(Ljehv*5beWFcIj31k<yq!g9~W_R4n}+Cr0<;)Uw_uU
z7JeDj%1cYjtF>D<&b&Iww3Sae6q*+{-wt;DGTV=fRTj_LKawe<?)M{EHeZ&Z3_Q*c
zqRP>2v}3qCgF8t8ggcH23EKo`YFx^aT+>>&H0Z&e7{*+unG=($#e`P8l^RB&HvBfO
z^A_TD)`zJcFD?PP&dpIBbWNR$#U@rnmC7hAXa+{O)~ZC7TbdLoB7){EDI@S&DPPAW
z9@LR1<tCq0uHmpznm`eyUhB{Z@SHsgY3CJAS`)N)4hO#oNUAuBPUm}DfHxbctbwCZ
zOOH!bjzu+&^h?;%L+Fy2TKBuG)be90Fa21sK&V8f7|1F}Y8x-Lrv_jzq<d|dIw9yJ
zhW$Lq>314)&~nH6DVd7VM@SHhu9bfNBdXR^t=y_BV#X3!1({(WWjDX-nOjAfdS2?a
za5tWG`M}9dI20M)A)6E>{;WhffjaeP^kKS2zUX(G#2;=A;i!J`4W)(#zVR0J77X&3
zrh+GhQ#}R`@8?dp1cb1FbqhelAEXq6c#jQST+#z821Zl-Gfv<cx@eHcEzkJrXo%q|
z`w7`iU4n_i0cU)XC@Kb1oX8eLuCfQDhcf1m+YhOa@4h|ss`JIH#piOT;wZDC4XykR
z{;&*&L5&&TxyZ^+jQN*toKsd?*3xYsH5b}11=;A=go$AV?FNJZU4@tm#@owI>xZo<
z=@@-Djsl<}&zp_cBdW$7hoM?4RcrMw-VXz6i`DCCZl?EIDQ&y}zW29GExq>pT^!e}
z*NKq^IXNBAgH$IRwzO*Bek7DZqXeYOm63#P4<fLV63=<*B#Y+X<>!(6vFL&p(b0fe
zC~vt0Voo9(_o`FCY{0h)eJy$8P*bj@%#{FZ=PPA-mCy~=r&lxfFp;^tS9|_LdjLM1
z*{OU%%JDoWNvlqYF??IWU{BjvyhN5X6+l*Fgygh1{V;zQC%$jh0<x5pNIeWd#1&nk
zdhkn+7Yqw#BEMUoWj2$?clQG3aUs)?+0fz+ByoD#JYg}v)3SLX&E8;Gb%2&wO|plG
z^;in6G0}d$d=_&i1G-9H;K$c*rcP-M(J)v*Dum)%g2DJg=CJ=&g$JWt5&7(hb`%rz
zH@r-Y;(^J>p@o{QB8YJrQykCR^8*C^SKWs(|2DlmKEN0<z8gQc(Rt2XXz^uG2R{}&
zXy&*Bx!9<)`8?7C4w+y$%}c*EBWdzaVkD&~R0)@6^;vBoMw2SZX%a1t4XkTaegWT}
zn)-&i#F<W~WQTpH@gEh|&MnXREi;Mo!d>uD%ij-ZH`{vN%$SU6^LGiX1M)#a$Lf4L
zKh5NHW%3CJ@R8-%CxZF7Q*gBC?|z*Ypm8nIi%@x@Hjv?1oKnE_?lOekARo?p;!px=
z!c|^7iaX}G1P^$VpIA&<Rwr=B&a7LeY%xOq%pMWZkpggyyjzQ5Sq#IK<M%)JtiLlf
z_T%~Y=HG_`;H+P+Y12<r*&enl&<^>ceH=cDoL2R3Hn`Hw{y1Tbf5g2L4C+RC8I^+D
zC~;cAPAM@><BT06N?wW=A4>+0Kjw29Q{$l3jUA4<CbgdEbkL2U$-nvXsc`!ukbM{z
zQ>3aCtxzZYVHI(*D0QqmlMOPsW<L|;eog)5XGB2nu$gJUzWK1-*}T!(zp{zW>i()W
zzqg(^`{^#wmtS2y#pQker}#LxYaE;F3XP|Mkn`~5o6>Nb?VsdctaZ7eB8O8J6r);t
z1uK=hPtaV*R3CVdxVl2qIe89G1oj;-L5%F}D5e-c;y2(Bv=rly5HPtC=V{#+Ftl>2
z5@o@o@DuHU6OHeu{E+laQHOX`J^W(w=w;TqIhFw|?emtTOY?X<5%&o*&3yh(FszV*
z&(WB~Q>iS-UjBH|9fB0}2741Hm|h91c!{qK&A@n~L0(f<(<DGV^g>A8Wc(rg)#Eaf
z(ReInk|jYu3t)tmG3ArOpkm)9fQo$G^S5CPPX`FFr_SqhQ9l=b6N_y-<*hrO0%roV
z4+ydA;6;AJ8pwj!<l5W;@km$8uadpx{@hD(Bt_>#l`v6k=m+@(9RF}uZzW!)+eT19
zM=dp>p0pJpu8dib(IlJ&8y96MD-}}UnkvXRt-rg$l@#AC+O9_Vq=^{^LH?eQ_AL^p
zsets&gsA=!=9c@d|BbPriw#IE)oKd?k=0LDOlh6_TVd^3ZIegHxmZbr(|}Vye*_Z+
zH+p<|9iuQxw+h-$+aWK6A6pKzK&UWoDb*Mm6_og_V|r#-GMy`e9TMxHwvxLmhQ~<)
zDc1h{`F$**Trs1OyVjZH>&Da&+ql>Bcc-fY3H?QzOR=slk7tqVHJ{rF8;^r6t;2~i
zXRaml1O7M<53}0^p5gcP;rDZMdTV1_cSCrvG?D<wd2TG3@NxIq4&^dI^=`eHExRz>
z6lG$LrMhir)g2S!NN>aN3{%mNRb&p0SxOnk%}<WA=t|?yx0!LT73{6eyQr?syZ!Tn
z(}U~@KMfD@0!1=W*l2hB*-?JaLn{cl+}@I>sSz<c(!}XRMQ1o^d$kpxB&PZE)=1xN
zob&~UrfKsIa6=Pf=6zw$RQIm9FkuvM5s|i6waqsw&~dk_vrOF93$@n?W;P!?|0m5_
zi*(ZmZKh9?EK{;tH8b81E!YE;OVaxsvfFsRAh&svGVA#VEqWLUAucvxs`($L<RbCO
zr03Er>7;dv0ekz;e(~WwfJghI2cQZW71G9wKSG{Koq8B97QABS*YCmjDZ<(#M~{`i
zzWpAxLR`F^RCePpY(NSEl+5NUb2`iIxL|%i_xA6CMqvwDXxu2>hRbHJAlM)W@-W}z
zH6}}aUS+^~KHJABCun|E_|<Y6f`;Sk`v>i|ngK1N%fRl#^xBSVyjZneo+*v%4HI>H
zR|3V+fhmuL087MiB=<^&=UA^m>8154SKN)d2F0iwJkp9X4OXA@s0oUu;iP7zFiT;o
zJVjXnPb(=3u>&OVYMg&w{z6bcRi$q6aN;4PT}5|>t7;Cxq~}&ZG5|CbGqrw=$FXIv
zQOd9vz4b{-C0w6;w1bwf*+&WaXeGebdp`Ue5x;eK#G!joi-}^$W#m-i!GHzDZBV|+
z{(RH-cE_tJWs%qL;q(5T{^AF%h*V0-r(yZEw$u5^x%J$h5o=5)uTQ~&v+RYKmF}_6
z<^5&0k8%G6RsF#x&c<@v$FR#PU=Ej`&Iap^|5pHuV?63_2##w|(EM?!?vhaj{%chO
z2D!6Ri7^qR>sGrK*)vZ=3q36m_=YLhHd-Je(->L7XoU}Ga5jkUL+c)E_gp;kHQu)E
z!f!cKN``<`dOHnQBpJaKpU@r-<l$Aj0FuUuH|_`Y)0X=SUxo|ZmBsKpzzO$hj(N_~
z`vWc)NK`J*d=ePsTOqV6(iCNIg|K2dAq?Qd5{^kN9z#CSlbkRXl_hWBdJneKgta0L
z9d?JlgH%wOrRv&;fKJvr{#j7UkFUbt;egj2oOjKZH|+YYJJ8(LE^Hp<hfJ>%jnrGW
zXVZ+oC(0w%+mfiMz1XkC^@(d}%`;NZbFUmea&Cy!1Fg*$y_C;yZ!%eG|B4y>&!)+L
z$3g$mRsKsX?!P)WKM7#5fk;dsJpWbA|DkLA%j^9o=JzZ0f25QDHI?}P159T7ce~%e
z0F(d0cmErh{2$)K|I*3-4krK44*fsEBm@3I$^RRZ{FgXpAY@@+BxL@(eL<3dFP@l%
z`HK@~V<BW=`kQ7XWaaoWaB_UvH`)L4$&7@6FTR+S<1c^AM92zYCuC#zO0)mviNEr`
z>R|nPXXW_HWB%IMnFyIVzO0?>tpC){`c)^}S6SvSP!zz#NXYhOdi<Nm$`1HygXN#L
zSikxLVEOv|)#rcm{<im3<{y6f>z$pIgOHW!uMPBX{r|TASDSy^{om=o$HU6P_CL7h
zf6n{=;F|wA;s56gStoJIa+d)y^wI+wuPxNj%6OSJu{*vlw(rBB{uQW>MHVi~8uc)?
zNl&9oLUJ*dJ(~r4f~{8j{Gs}lov!R9iQI2X1kMOHeCiLGhbj-jQ1eVd?-54s&AFWI
zhO)=?wx{mX@0h*<*t}koWbwkX&F3Kx3AOtxR%sqT1^-Z&H#6vrL3d>YKey1=qiv?C
zOYfcLlGaEE*nQpe&bH@JuG%umtRbIafn7(R@i9K)4{bA5W%Yb;J}};?Nhina;q(+v
zJ+1p2TD?`)SHD}CP?PtqP3_iDgy$9X+3YahxRJymOL-7zLakv<d94!WoGSV6PIA9U
zrk!$&Ksd%FjALA;2oWs#zrFf9N73LH2n^>zfkMEA7J>ET3S?r#!v${Xo5<p3@!OlT
zLc-&{<P8W=2L{H8v&Wt>5W-jzv8xj~@Vi05gY%HEtDlM4n{Uh7o7aN$<chdixDd+3
zi{MUU1O)oihJ$d*?EsMk1SZiu5x{z84oJ$DV*6%(H{M#z4FrF8wr5b3(!<yA0Gyvo
zyt~)Mb&76?dj5oFIpF*~b)?ldDg!<-k#7zD&B%@jIyeXTtR*Y^p2waq<0D>?H)Wqy
z9)8agb!hnUafEx~wCv^?;%x}K;$O^6UswLWUN`Y~#&EQ-ceZo<J7bA{2~1@TY)lC0
zMFhTH;{Q{1`oAQk|5o<jWT#&XKE7n9U%W9B3;UPsl$Gf}@zNY@|FFvj_TnZMX6DX>
z0QP@~=>N@2|1JDC|383f4#vOf|13MDW&FR?owEHSQ2wV`31KA@XF}#L8|!~ZrvEAQ
zzwVyDCI20n{<@?8>CwM^Gkh&D_`B=h(fOY~=KrEQ^=XIlPMmLH@Xd1CSf;q0>?E%@
zO*W1nmnOe8rJ!GiBt}+6VIdtRPA3)MM~zblWijvhsnsA@jizON3ZyASE9h0Z@;YCh
z&DYRz-l1kwp52t(+to1Vo4og#;YR-BVZ)AmYWeZ@%<Kmck+9foP+TsW78?Wxx2!H1
z=ml|*hg!^<`=3aot1d_+c$B=-c89*o^4n9`F5-R-5pm1iG?g*6P8YnH9mp6GajTkc
z(jD`l_9*$zgQAI5a9L!6B0iy|8UyzMM}u!vWc}Ad<1uT$y;sAoU?-*Z$qoWZ(p96*
zG^Ok)`mda{=O}`z;Z!%D7H26uAqJAW%zeD61v}N+Zp^qp{0;Or_ii!19vGD9$Wcy8
zCE*8!mg(ue5%H8|vpv5VmtGLpA_5u`v_GEayox>sQ7l16w<*JGQwtK-#dazp_duCk
z{Na(|4)TA0MPi_dfDSqnY(`(L?sG>9(0rnWnh|wuuxCz<u~{o4Gsa2wV%!WiYVXS;
zsjH(VSQZ=KTOFmIAQeI1#m?^IVG>j^gLGAhiX+65*NGxB*d(`gBzfKJ4?E5$<-g)B
z@?~^k3n7rU>AUg~r0XoB!RJ$g82)^F4szc0Z}%_Fmf?}7RD6%Hgz)+a(6+pVf92U;
zY=-~1`NRzOYaQ`zKYbs#BX$HieieM@D#$7+idU+Z@qx##ODrM(1h^QVIIW1spigb`
z-KT#&nJFbmz!+Y%Z_nRDY~+!?7>aY-*1aT^+p*x0bxjx=Cd^8VWL_6Ih)deD9JeE}
z693);ceokuqf11xbn`T4V~k)i=ww5fG%c2l2)E;qwkA&MnD)lC#_|lbp|G6N1hN@;
z8P_1`$Y-Ir1NMa1v+RaMkJX#XDemgoG2p7^yW-$tq-1nO#KFJOf9Y8VD^*_*clQH=
z+nCpPF-~h3^O^d>nbsG>Fb2eUYz}5mcUBIf=3HkFzcEr<PW21^vbmG>q@XIkm0&aM
zCD(q})D(Rk)?$%uS0X@qoEtI*JVQN`KO@|LkY+#(=QroQ4vW6=3TqCtS3P1$KW=fr
zB{+COF4kijAYD|U+m)xn#*!9siqoeCwzU&XHA=OmDerJ*r@rtt$0WH|x!j??GcL@>
zr#p=M4ZLOlO0_03N;|bcYv=Mn1jJGcpSX|)GW+<PASn5DYo&^TZyCW>Q?Q1it=bnQ
zxqrNl5YNX12iBn7>h-KV_wwHGtffZ&VhYqQY!y%`FGJtx({S6h^%`-(E+#KaE%#Mx
zP;sFpa$L=8QJZS9be*cWC=#VoOR1bFP-2}|85#X4%#98Q2J%s-n7z2`%7N#aK5vLF
zLna!iTRdN)0-XQjbi9r0rFCJS2T$nvLfot$cic_S$=8-zuA)=EKmNR$j%B1g-or3G
zq3Q7fkHk^PPdD>T@SW8Io%NF{X#L<NK*xjVr(axoa`iX``du*bL6djN$!o3D#_9|P
z^z#kNPrv$F=+7!meC<@WM?;TcHOkaXiVh!K@*>|qKY|ZJ<h$tQ(C_x&e`WsSjCua}
z_%scsh&!3`Hi%m6Zhls8D$Zw?I~x*zw7co=!O65E^q7s8BXz(smEM-W;Fj3$`6%XI
zy4m^_0rS!O)V}x%r?=s=IO-Btm1K2|ss^vaJ9HbY1PeA4xC`?_qajUQ&SN_5Cd{dN
zTwXrR*zqj^T-u;I&S;tkBoXxd!je-oyb*M2bX09|z(7ZLgDogroB|(tVTo>0S~|1k
zag;h>y-2B15c=jMx?MDttr<X1Kb7FqW29m>c$vwNfD;lwm=u>ZR(&~Ezu!D)6eQBN
zKr@;$d93qOgdM7PI*qVvUY2aj4fRYD1$T(sjw{HZAYt<yV^pn5gSEf*TL^KcdhzMe
zDh}uFm=@#3s8;;5#*+1dP1kMhHQnP1;Z$_YCENkR)MZ;8pkJunl8w%%{d++Dw!Y5k
z%Ck>l(WO{V%kuYU5gLSpAzO7d{_6clSrRw%wT#P7#9piJh+h{f+}%k+r%#THw1-+}
zni#m7O_Iw89ixqiWPv)ToE%rtVOz$G54vAb2*_uH&04A%h-|S@XkPX^bLBS@_V9*=
z+MZsLtNW8M79!A6Fs5cUQb4uk#B_BFgpK1IKiKoz+v~g3m91+M-F8`pGT+~Gd-0|;
zrWbo2Q8YG=zn|SGj>y-7!n78Bf3_s4cL?&f7l}<!1x*KB>8pTX>CNP1sFV=Ys9hH7
zuE$;EUSD5`*LZoGdq4NjEy2a*a4`8=Pi9=lRpsUgHvHJ<TRR+c+g#0NL#Xs8Z|8^>
zUWa*#bAwo<p`UiwA`MDVe<?2a`Yg5#D2afKEMT(z0LjWi;s~Q(nphm?_;v`N(QN-P
z;1f3e9d%C$SokiOy(}i5`!vS2Qb&CaDo^G5fg?Ljk7htXkVqExmE717#Pr7K_7(b>
zu%*W>W4M%5w;!>ZgIQ-+ecWoW$coN|;OAE1xW?0`;N*8Cr#0kSa2%ykWI++^%OfM+
z6+LkUf?X;f<Yy_Vjii2-sGD;V7#udS06Wo}17qF!8Mnd3SppWV*w3qSEzDGAKMOsf
z>lc_7{lzD;Aj-r&3$fgZ&n4R#zdz;MiaLy}?;;QLzBIsYQ+(uo>o6$~nJoFpUXOX5
zyQt<v@?M{{juod|Si)3AiL+9L+!%WtOrb`X4rMB3-V`Q+gNd2~RPs09$$wCqtQ<2D
zekV829j{1q!1AyEO%HrS$PGoYC4+dk6)ag2%A5nt=L|CQjbtHJXI0SguyNY!l1r!1
zt}C$TVKtN2!;5ByauYv-jW{K#*!D35XaAfI0X@8N@Vv?E<56qL{*)GTjU_-pzuD$j
zyuq!#B|8rd0s=e&g4F{;7vtN<)w6-YVaPj<xxUb9NG8s&W}+IR;1LfTcx!nS>8uTg
z27x7p@u8(=ClWYoX&dXl{*S1#JJGG<cN{r8RNzyk)76Db?P^llYCog**He{KHcp>Y
zwu`mB_4a`a$_@uS@SPP8tI)-|?v=Tf#s(#;;O>*{`Byap&G$3Qq-M?<&kalRs*uv-
zuI+h3!$6So<&%abk9q7iyN$FS);_DHb`^$p%fm7utEDp5Hn9$T4Zr%^MtHd+)gY)P
z=eNS-Zct&}rFooYD>b97D`~dGIPPAoAU328G5I(lOx_54Z2vgMt8G?1K{Ujo$qaWA
zRErFtYU}1r?5Cp-_pQFydiK4lT?BVv3Io`SSR8GCJ8php2&B#s`%e(Ztw)4@5Cm><
z;22`=ujSZ+mn1?lk=#rVVLukVkFM%NEi8-BF34;k10f?p4G7|pZXhGif;!mWF(V1w
z764fpoFKat*3qI&PH2%R%mI<p5ez{L0Y7LJ?07*Rw?r>`qSl1IqIx21<MyHkgoI&&
zBPv4vt&EyxJ)+R7)|o!}VqmsIofDMHVJ(yWLRLEp(oH{|t7Zak=>Xo^31VTxUv->l
zDVo`K2&-u~a@Aq*oPF1|A~kfIu$Q4%Hs~Fa8rOs?x(-ilnJyx--Po7vJ^oGcQVK#>
zaSWyA3aq?I;R6SsWAi3*_qcZ>Jvww(GEZZ{K=PyA#&mZ}8VT)>K~N^-D-t{r_t!XX
z!!1##m<Rfae+qo`ZS(DY=15MB^YiIi;b>xVXT%ubJBC4W2nXR33r1&%$#2KbFLhws
zbO2yEh?Tc%RM@T2lGV21%WG5+sl~DVca}-*)u7f?1RLx7AZ{V1aJ_GH7@Y0*ww8K8
zAi%E05PQLitPwq<qdGt@C!7r~zD5YR4@!_-0FnZ78<dEJ5<vh_DnK2%KR(AA4PM9n
zq4yZZ`l|OTI1}SR4{=zU`3@OgAc*DfnCA>u-tDM*no!`qJzq^xahUKX@seeq@UXg`
zbW=rn0I$d<s<G}^G-V7M!#L!$BWmGs<0py~H!(g*yr4WM^kwhyDZml0&u#b2ZM$X%
zvs8VLI+fg2C~#;{itRBv0s9sw%KsY?(E?P19{1&Jc}mvrVbH8MW(zzF5dpt<>w2BH
z0DtisB8~BcR`@pha!Z->@aYr{(*^G{2PZ#z*R86*<o>D3dP{5?R;B>>)hxOTe_;0R
zdQk|oFuH5wrvhAzFQ`O`uoV~3%&yzK;qk$4oBJNUaM5ntJ0{jX1Kk#@G~aa%>(w#5
z-xhq3(Cb!bM|gL~tGd270fAro+3F(lQd1L|J;Fn>8)-StJ{M#2IbHK<)v9igD)2OP
z<yTAzof@mfET0;?%__VaqoJi}1~ayy%aeg&T7vd^wwhg8D*MC9<nGD!k?u=ZEs!pe
zVUn-w;n5a($w|#b|I*f2uI)QWo2wb{_Ij#xemfU#50G7-+NHe|yx62crBj$jXzfDo
z82g+BgcOH(6bU*8ibE|El`7eQeZMk3()%|h2Ernpy7EQVJ>)Q}e%1rdEzYyiwz<o;
z$+ja8VP0n46f7Yu16ZOMdvJkZaf^XgCqhHYUgUxwWR8hx^rIMF^mT6o%ov;PPagxf
z7%CQp#z#BD1GNzlboiYmcxgZp6%YzZiVdX)rB|bs?8C_I@PXc;tpLI_T2Z6$k&-_+
zk(N;lC8pOv-z;H~F$Y_I(RPC-ISlg}64Vpaz?gbXXElyJ=(bt1gBX&>N|>xL1!5(c
z{{Zym_;-%vMBy3Q)liX#5&sSk+~J6O&Z+3HyiPU`TKUm;MqLa2fP4tb9<vCJc#em;
zOx_(G$M6lXtc!ESx;vX@2~trD;K#NE>CmXc#C6lyy3pt4_T#RjrKewVl_qG%X=of+
zjaD$9s-KmIyjkEdp3Hk_hhxxP%9<iSl<xKidtTYgXs>!~?KA??J0F_m?!Zy`A>y%Z
zoA?qjU8nA;vkB_%es8<Uh^BAiJ2`#vdT}b3ysze{V_i|fr#FTIG5R8LGdeYqo^&~(
z)p&L1OojfnAaWb+&4~u-^ouQ~ol<jwbJ67hCjH!IrXbJ^`_VdEi^tV^gFm-0vv9mt
z0qS&PQ6YUhs?$cNX4`@*jZnW&AeN<jmrR>(M@P<Pw>+LwUf~LJVH6Qh1)wpt>ujkh
zrcED738nr$AhWmr?8xo1FP`XVGTbZv76h=9MTZ9HEr0%s-jwwec+K!03*hjmeQa%K
z3rJmLATb!kv>1Bb72DB{RTD{+8jxgJng_Owz@GJuKk^vmU-7YzM5NF>HwLAB!18E`
z*fVq8hZ||f=fWmFFQ}ZzWNGSNP!9Cc=eHRzuhmAexRld<&>ztYunC&(LLtV4Qcx0f
z7J{@xF?<U{M7llTCR$Jonu4s=5ee(SNkJs(?}$dEZ@jh>#e2{S3aa(HQxc@6LsWFZ
zczoC~?w#8#nk>6CU5vAerAdjKXU`Vpd3UkUP80Xh&JSNS!mM_iADVZdppRM{67ei$
z0KCu7i4}UL{MmQD$<ZxK0ZQ*@rNfvL>4o=d1lYy|wM>cmG!b5Qos>QopQu_atk)9D
z+kUM=fnb`KV(uYh+hAckbKsPfRP%`M^f1kqOFMQ@g(rAOn))t9K6<Fb_bEWoofhuc
zvB=DJAkoo2^O^vMA*WxjuC57qwtG`uM}MnX!FMy#aGQ6@6>Yp$oqyBJtS&C7*N%0T
za=vZ)#kwsYqoGJ99sO(C_@UoLQA4Y#X*o&C>tqey=y^>)VI&Pwg=-u?LB>2n`ok|o
z-9>I>*0M%TnG{&{`{7SUb`ddibTHRcYg1EdqYDP=SN>Ro_&E*njx20<o`lBvP?lOr
z?1~^IttP{+$<j~b{WBNEZ`jY14P?_cI)*wnCNqd7g3*XJ%0hzcIYmB}hza_HBl<V*
zq`Ncnj-(vP-pr+dTK#60xdP})Xd5U-ABMef`~7?j%I55No51LIcu8CVv6Y!qOb1-o
zlJLGWOvgwLc>ROOU6~<|(8+$>=wZ6bWE`m4li#G4p$&6WzmrzxW8r&pV6^F&eX!L^
zjnL3)#grZO4Nr_T^w8shV}7Z~)?+cQcmpKbZEx4=8%ldjK+I^D=Z?&g*SHfvZ`Tm&
zBpsc%&@PwNz%8w47Y0QuMhg5>=y1BRnHV@Z5nU|iPQ=-h%hLr;$*8nW9ZOl$#JMT<
zPYi3t)n)Kp%^Fq9iZ8L3DnG6CU-4AbCbIqhG``@N)-oyJOb4`8`<_Rmv5ni{be*RZ
z4yv&6yiDKQdHYy2)-x$Nj@fA1gs!7fKW?&kI1WY66cv`_^%vvo>jeD#6-M9^M94vk
zbGEH7?s%1BZFs_Gf<xZgpw-~@Te=t|6C^V7`lgCsd^VKv2rdv4Jl`v&#6Ph}MhL<D
zhk17|i@}8ExAME4DnNjs-LI{dctj1jMhLh<1ZePLd3G-Dj$VzZ$@d=w>O?%P78eky
zEcoz_fbm@@BE{8{iv4BH;yzh0?qc<h_3%T+K=kNP;0Ql3SS~ic>#e;_H=6d2YkPMI
zt=G{)v?Q3cPG2C?4A4ajb54&<=FO}(SKo^Z87b8U*RH#fpQiwT^hGF4wjY`U6WcwG
zsVN_c!qZRhlT!inI-hk>vsHc@kk^H+tSun{a?RX+Xj{>Bx|lm=Xs%uUo#SR)KV~}i
z-WG;+l#ma?4ER0^oQ%eR3B41XJMPn53xoomx=>G8PFj?ZJBYi``?J^&4W9W^u=2tT
zQP3jtZ~|fex*sbyalx*)Ped^D1E5F6R#fjvV7_EOCU4kiP+q`bKgi`lBGg-Hy}&Fn
zKrNAoSww?z_n+3vm?a=6%_)~KlNZoT8MrHx8XUtVh&9=(g8{VW4VHQqr9+=VO7AsL
zqj>$tEa^|{zZ>RnPDd7s>cakn6^pPmsp~`yc<n42^{jNTUbIO3esz1YJ!R{vAbbFF
z#oWI>;*Wm>>i2?)@9hRMRaAeJq^&isMT?9!oy~wwOeY5c83PB3&~X?^6RHY-Q_2Mo
z&78;)$?HA^Fh;$gTRk#0ecI+{-GBZjXY|^7YHyyW4r`pPQ$KE>h&V+qe=9=Ro~kcP
zVJc>~va<QJ2P5YjJCA*mEl**2!Sk>XqeH1#M5pbYglASAOFb*uMYd@#1q$EbphdYv
z-lTxvzB%Y@Aos+zonSy@O~?3nWXaR8S<0jFTCbT@m5lMGMKXSE`>42cdO!2N&(MYr
zi=<~PYwTmJw^uvNj1=W-1`eBg%H*ymBhF88W?Nc|`Tbd5d}PdTFsRa7<T+uVViZiv
zRODb}JUlXoIwsjIiCKj_?Rb=C5|UGA_iV5s>dY=G$0}`I_;Uf2AeGR-l3_+Jed~{?
zxply@L1(0SD>uoUimI2oiA%YdJw>HyoQ26)Sn$u}Omxc{_22XNNu{7Nmg@n5>f@@6
z*SR=ZZe6=YQ&s}It}UM@rmEFA?JES97TI1==?@l*=B1p+(sU9`tS+-;i7lyIscTXV
zu4$lUE>;Q7;PVG3t{oUbja&NmW>@m^kf0up?9BwsmW*MNE?4}qtpT_iV|Qdc0&(C+
z3?{^Q1zg8Oo@t$8QwmWjR7cuTN0EUGJ{}EqlsMAy=F-7D0#r#1yl1gEr>D=UA>YaH
z#|m9zNauw9^t{;3|9J_OLNW`lo{h6lPQwG^wkxlcNu46zAxj8LfR0bslS6KLMg!Z|
zv$NjA97j?Y@CH*5W7G}N5oLoLf6oyI)071-!UKbr=jFzhaZL8J0NqlqktPDsJ+SNt
z(u$KwXF67pg~*rG6Jg%(qvR-n*Ioz8w&@N5HK>=kzeg@cxJLsec6bPTo9TZx$|$w@
z^M;h}5EX*`ZZe^keoq!qUEm-R9!<-aR8~p=cKGwe@^hRl9o{DTWmYD_*3;}dz8tW@
zM1on~;p3;X<aMpG%hQ$vm!;ieZncC-mjG7GZYNacdvg|1%#@F}nEgIUJ9Y}Y5b;Si
z8~P{H@9nfZpa?5ev}$E^vyxSbU`D0PNLc7#IH|hKH#ZNsuAtx0Ac-HNT-898?8nI=
z=-HAckUY}2l8|_1=qXr5jo=p2hBs+37>Muyr*5!&4GeQ)>}LHVC7BbrMNMUT%io_(
zTA`eH;d$EWp^mfy*b*ofMIaR64kza*+m5Bih9@>H5GY+%Kn*CtN>(|n^PJT#H7;hS
z#|w{|4S)se)5!Ql`;>cao0qEN!y-Sn_w@p7YrH}9NVdZ$xuz^Dm2_ehrNe!Ub`zeH
zcrr3&9fSZ-eABYtZ9UX&B_z6ETUzAo$lz3SczHSk)1YQxrNhz&1&&IXmxzRsMS4Q{
zWrAi5C%<xF)SiM%7IosJ$lG=O25x<)cL{E?<uzy3e(0irC(w<Ddqu-bI<xC7U2baS
z3PnjDRzu>zab{Nhk)mz=xyFGP*7}345ND33+)Jn!-9?|6Q{5d1tfdMa&XMD`2y7gE
zS&-3p3i$Smf``|T)%rC|L)+TgYnbS=?RoSEilYZ=#(+g4T=>qZKR}yZdm|A>>s*FR
zggoRrdoOmLZhy_S?N0QfW32@j#c4~wWy)mc__n2EqkwB<L{aU;?rRx|K=`4o`x|Co
zh>>l<aJ__V=z^%+&jiVIw+jtfyPpk$YusAtt)xHM@3oV~#PPMA_$^cjWkk5C*o}7z
zJW`oFT>RS;J=hIp5Wt`dclt;2qE+8e)0{YQX)Vcwk$z~~?MimciSAnZ7gsQ2LYH}_
zXckzqF1{3chLDyB*eK0xRopuadb0FtsVycax(nY2CSaVln$cOUb$Bc^uno(iS6@F_
zdMAf0hgM&tuOF41R5mP+ZnpBVe(sI&?%q1;*Eskvd%d2UEd)OAE{|D`8L2v4&Y+!s
z$eHwR^4mo`jo*Im-j<&P@_oCxAf*O?l5e&?8M$VjP!vF^jxL7N`X_tP_R$6`#amkR
z?HwmSYR(O6a89%I<CwBCeE-h+JW7g88znj>B_+gbH@-SOT`)g?O8wn2ep-G26E@^W
zP(W@RB6F?$aC+RI<23AO0@geYPI(Yk)_Xwuz|MJi2YSBdrIl`(QLAT*uidy+%s~4+
zV`kGb&X`B-7*x5;PVHI+eO%3NI&7OTZammz=z!$d5V1YQ%0|iG>cZ)GDxEcBfA+l9
z(WU;RMq1a2r%KDL_o-0UwiNX~Hw6$&3Myz{St`*&&t6Fb2GE>?Bjir$iu~kt!4o^%
zulW@X7B?0dC%)Gt+P@7KOkk@-G!9fS8kE=w_$CEd`0_x5k%?3qB;Kxzvq!I`ZF1{&
zL>U2NC#o|E@w05xqJ4~$hDV=hd+L;l#&<F~4eTx!DCVlm-zhf^wwjH{+yh$EXf&e^
zlC68uaow#A3fDBKI5QWOC7jBw+!|}~$ZS|k&Uyy=61tx6<4VRFE40?-Ibgqkf_&ha
z)aj+be%{U|e^erE+INsE&%ABz>6LVL(;k}*(~iaJsm4l%jnZ|rD$2;bu&d9iIHIAI
zE2_**Ag|p?U`5XUB&>ixgPImy<pGqza|YHDDy?Qd{PJngp}gkmyI>*~1S)~*eaq}2
zMu7?Xiegkdd6>drrsPN=@3wP&>ltWV+sq+X#%Q%ILmRdtwDL!j+_LRn>Td4SXGfaL
z<S@)>+@rg+k*W9(>2&ef9useYu37BpsCNvcW1<tXa7;<BUb_O7C3413x`>^(_&C>8
zH_C?<AbSh$mv2Kq_w?gvDQR_eRaq99Eb7jn@w-#S{7;M+WzUrvC9jHDErYvHx8tWp
z=3ld6?|PZx(s3~8xNr0y=Y<yiJXuUG&zHR{>uk<TRTL{6?^c@RI!~!Q>RpsR;jhj+
zOk6K3o*&oH*<eSc7V$u9CN@`T=L?5&WNH;$WqbzHRNBNN-*k0T0Jsde00u)AoIp`g
z<Q`$p9%pc`xn#rv<OK5oOy&{MdSfR46?jXKB_7(W4$nZHYPMK;yRT^7_(;=bAk(XG
z_&(Zp!<h?#VXh+<Jj_TP8k^;2x<!YFxYJl(H6nNfo63sBKO4LAksc_+ammE;ZPUSH
zp7Udx2Y&nx(DSv2&V-|GZ|1j74qzOova*{<QdZ01*!PYzYE$}?r&|lD4c)P&R@Ri;
znO~q|IXE}!-<Cm_Vu*6~r_4Dk5w|o-J^N$ul`J|=Z>lT5qP41a&e)E?*1kOTq6OvB
zszCzPTw0CE4(-+G)^i>3YOR;>x<BGZ?&oekkx!=L3%C2wg+BG7$$k2%xXv#*g3ht)
z%(0dTMcp6?Vq|OICa`N?a9+}6uPoPNF{djji_^^?CYL{d+5m0jbZ1VXpI=eW9*dPG
zjm~PJ^fY>E{*X7h8~_1U>aV5<!Y2b~4CAV*pwK^&4@J7nUxq-`w*?EjEW)$G7j!*Q
z#Zcsy0b<tf$h73rHB&Y3+(V*OwO$o?p0F?h?#EQ>qI*jm*?XN@5BD-~t{J5|-RSdq
zSxm9HSY~f`TJ!<QJPgs#Z&)Yvu9X_g5(o8%v6o%Rr0Y-I+;5ZUapr`o>I7)>X!Wit
zE~Ny^l=#%b`;L~fqE7UWggz0a%X&AJCKME?*jJN3sxWIO!E~R7pXhwIP75>9Px*N{
zi(K71_D;q-{#zlz7e1yo)yc><@?N52cbb8aFati#MSVfUx~skZzm2`-C{r9;7mSMT
z6ne~2SkyT6=&D_ofspSgMN^#>6=oFd@F`#5GvJx`xhS9DNy}YUn(B`5^<yf1cUA)Z
zyxy*rV*1sbX`7u28eT$@=fxU(<oE&}KYm{%UCPPIm`;6qysd~GY{EORyP8i-F7tIf
z=~V5P75h%8mH<$oOh><IsTBNFl~9xVO$@_k=4N8?8#si85c3S&Qrt-qn?=LR5o)t@
zR8kQbM(XRDa5g3FgEa&{qe&owZ_}Y;l<El6dyv<9ZolbqRMn*$1`2IvBjZ;zj)f$P
zR90)Ffe#&vKHA@b$5LzNCU1E%LZ)_oYnE0I3yBZLrcHM5VcrrjicnNe`UXMBfp=NF
z`|i9X*LYx!q-aZ5ykCkKB&gtrJN0}|V|Z{15~a;Xk`n$)i3<PW4$WKO$Wu`ylO|#(
z;gL@AkKyHxN-no-QEV4E3@rLHe@7IFhkz1wYiI0UvD4a?0!<b$lO^uj#<pdO=4|L(
znva#;%fZ@1^|*~jCEQf~q=)_WiOFJBrpeXxgw?~^qg?*f#m7bG2%pb;I^5P=*_}&V
z&$gCd=g!GFGxv(Xe8%g+gx;bHPXneO)9%(nPw|U#W9a4Qs9np4u%J>l6n&X%g6$Gb
zaUc)jLw9JUy_O}n2u?zMg7UuKs2oO8B~8AI31L!)mS{GDKs%N=!clW1CsOr^f?>H-
z_`cOOG-qE#@7#xs!vS0RRyw#)!Y?#y8V4zqw>l`>iQY=$H4;H3fLF13O+;Sq$dxrL
zFk_g?C1jX?roS18v>Y%$aL*51b`*93`EZ)<AzR2KDgUhQ8ip~#175(71t0<(UgqiM
z+zp1Y?m6({Z!V0|RTTBGE~D+X=uu-18ywNih%stwa>NkCp(HfO5@TYV(XO>5d*&&u
zK7PjvP3K{^CFyaEFlH0kS^L|;^~r;C-M{sHbQ}<5UPGZ<Z+?%oTX%Cmf?NPA{-*ny
zzA*7r&N%1V)(<wX>6^Sc&K;eX3L+UMKGBeVXp#+q2!D%4`QzU0Qn7|6p2vQb#3v$%
zx+f&qclWN^p=&aSLv0FpEn~A%Znf&<U}sUiJ}}DfYOyn~&3!NX5PQX6WpgV1QnZta
zs4aCnwy{{Qzfid5Y)zLbOPALMf8Pv5tGP3uGgC0gO@<nBU3>fgn7hl^M%o5J*I{O6
zW@ct)X687|%-msS=5(;b%;_*QGc#i+IsJaCnc110vwQa6k;<0*l>Mk&DoeIiSKTL+
z3)FUir+5y&SM(}}ou`NZL7#8kTxCCyFkzKM3QfgN2m#Gp3S}7Q8Z5*i)jJm_;g|_`
z&G@vSXl}E=ZKEMzn<As-cTs*>y<bBh*3GK&HFCS*OLVrknh-q+?7}2(P)p(@0&{3g
zPTBKhZD3zM8KE=Q9_-{`uPs3646kt)CDD~ckotYq*7*yP_;6el9o<QYHO2&>@yd`V
zUT^u#bD+0SzHm(=kc1ybRksO_Vy{6&zVJq<eJj4d#vr#CJpbk_#8(Cd3NHLM{62iE
zG2%c=jllIXZlnp#1!l8%tAu2IU)})Vfd~ZP*2`}MPs;JjNABc$lQXlYI~Oi%enP$s
zx6lmfdbz?J$9FRE?R~rNL*h05nz0wqD=+$t?P^6ftIZ3)Hz(0uYDgIRAwlZH$B&#D
zn#U)CGGq@?;zl95rD>?=0_@%H4S8DiMP|^P8)%W5f0Rf0z3p&0p)HC3WawZ^Wkf9d
zWSxj=4~~C8vD6#x&Woxm0&pfB3Ngp7#zKG;FRYU^@XGh!F|JidX;NbBoznM1ZogiA
zN?3D-bEKWYUn)lb0lvx6E=86n>XDjg5>&};;rF`ZO^(LUkw<tDfqcOEZs#%ZqNEFr
z6Rji9VW0)@^9UN7eJz3pW4QTdPLf?cHlH*C+GN@F_=aqF$wXm&w?RIan>F4IC6sV;
zhcgoG*sqzt`bOCV(&MwVYW9_A(^-CV>Bp%4*817X1M`Gc9?e{rPRq16*_VVy_Y+v-
z!E7oLXSg!IT0nWqwUNG{3Y=dyt!e6TJ47)5mc{`wAdQd?R)#b;;rjBbq&btVibaCd
zSmWJ*`;jK#=%_ShwAzaRZouD2G%(-d%hbA`NIi9ZE0}f8%$5V{T+fRPM`2U-$w9qo
z20jUwz?sl#p~gMo@;2e~N3OpHj1DK@s({w5^JTs2(%oli*<uzek3&hbrf^GWDLiBE
zM^GvYDCM9*m43&_=-WBJyrUv3AY0JBtOGH&fH^oDJ7&0Be(Jfb%%ZisX?)h!_PnCu
zgeNP@<)IRy>J%!gQvHnPuumOd-3^ck*)I7y3GG1r0+yeM%9FgfIHy*AIrJ6J>%~JC
zaU>)J^Ds;uA`KG(nopVY@mqAikpxvRJxAztK`i`%1#X;Z!k$uRij_cvcj|l~I@$zc
z#W~_@O#<yS8*QB`>efoo92mx;A-HkjhUM=Up05c3bc3<xKSdMw&gT6A?N&yvk1~=K
zRf&2<89~aw4}$NSRMFbM0f{|7M2w3;(+w^l(W4IRmrCdj4B2|vQa-d_2eEM=aM<ZP
z^!3uW7j2zl_tB@8mN4_s1NF--zgB9UxHipAzg8CnuVHaLe(cITra{s-`$2$C?Wi3;
z)2kSw>-x<|)%>KxHr#u1D1Rj5KVfNai3mYhNsA6J&~RG`oAH<XEb_k2O@7N)F9W#>
zt}-*UX>f&r`{g#Dw$VW!3-6L2_<;fG(_g&mc>U9GR`pVS9`4|NS>|h1qd&x(K#C7Z
zw|_Isz7)0MD|3&V6{<+TWG3>q2@26NZ(2!xII(cXQYh8A<n)1BsTAMpTuO3brd-<t
zo-M0T01`2hsN~A3vbo(3Fh$utHcmG2>yV(Sg!`V)ATw<}=OJfs+GU!$eEf{8N~R^{
zlEIkVr-aTo1)O^$n?K+DtU71PQk&y~Q4j?NKEh}m(LxaEJ0W25yT_2}b*Yk+rIb{U
zH4KXM&kie;Mf4H{z%(&5%ZjvNfgWDcUE*0X0}EPAC2;|nI2f;!5{3HVXbt<BVo=eg
z@wtC^D5OWC+~M6WK{pBXcm-Mb?E&>ApVpqImY&KN*G<-b-sKRNzRev%VyurUXKN_m
zIJtnxZBCuDubr8i$!V8L49x-o+>qB})J#84mNDuMXV}mr6_YYiV&BcF*2md=U<S_}
zRWxi6U)g4Gz4T&1R(G6#>QlDvycW>u=W(<A7A$VQ2;o}&k!GG<Yrwg>fvq_Gu`aby
zX}p3es&mD80&!6%3$9ya(O7J+Ty{`K%xwpdi3K!I!MiwgcuT~unJG?5vsW8-bn%Te
z&)BKnR329lkRBbXa{DVn(a01I^r`okc;~+}Ke1W^52W1!GS1-re>KdrL~{(i)dBYO
z_6-kN=4g~bFj^mU8>Vc73c!CH1s=&yctsm2b+M2aHA^-TJv4xMpcxES$%OogoSkS=
zzJmCb(QTi+CASO20GWs!GkF~w`dME#8WDV{KFKoaDaZ!Rk$el@7}GYzcmSSZNU&AH
z7r<ul#&+%BNrWiL*?qyUYvW(qlJ<aUh7zI&O4nh~UPX?^P%f@1d#A0}j)>}#A>E?!
zs@eS=JLXa+@895aXWIMv6tvSt^?C&uYQ)c{<8_~TS77?{EVx6L?RRVZ>+=-X$ouL7
zww77%1GVOv;Uzq)c_!D#=>E?kp_A$MPeiP7H8dLJ_P0V920|0{*$o5}pUO`?Uet{p
zoAN6boF^V&SGY&FR3fzjdX|bLZZ?pl0+iVj8D}?|%p{s9Cv#?vab*n+w1aWld*|7`
z1U2;vpELE@`BISXSu#BIj6C-GVz?=1c84Z*q!fdn;b^F8YN-|=<_R)PWioS%R_Hmk
z!3!Wc7DN^ESz_Ym4Kk^bPVr$#G847Lm{&)FmQ0BnF0^)bsbuo9EgWW1SYa9HjHy=h
z(CO6nMK}x1Ww`RK8UDs9pG#mjIQ^qL+}n)skDDf;5wVO|XM@OGCZQfNzkWk`|A`K?
zx54RX{KXEd2#l9#lm@0KyDJyM3TptQ#@uXWYt3>6FMe65beL}SO5R8RO4*;q1^}{!
zn?LK;9?P4O8U8^HrozL^iZ(ViDZ`BtT!0nKVa7jLC|YPKDhD?uD$yk9%HztwhCcs;
zj*V3<J(Uz)g$9;{CAR<4(LLZ<>Dd*7wvmNFfR|PGC0^HE@G2n^6lAhLaXW^mcreku
zK&sxK;UlL$@@KqaN;nz8#E~aAr0Gr+Kc*?;h!LGTkvrG0Nxsdbkj^?6qs_s0UM;-#
z(nT6wlsZEJ%nZ7nwt-C9R#X&{+EC8GbeW%7@tABpR@A~ijPS?r*62B9x;8qU=y@gN
z<f!fxydy?J!>m#w0Q#4w^y@tZD2ySSO%uI1{PGf40iBzWw&-5*q0^<j?=V^Vu$kJN
zvA)V4BzBgpph7#HQ#m13JGDmB@V>@I>iJc#Ck^3TPUxs!ykG*>FF-D=d3Pd%FX`dq
zPte#YXhW-u`Rk1V1ItGa*|9+vQ60l2lA3}&>zli1>Ajg5F}|Z#L4kH+W8_k_2OJ)c
zrJ=4M{`^mBO@sYji{Y1#j+L(cxhw#!@9jgyiZLT#P^hC!04e8^&B{`rG7`s2GjnR$
zwFHbOyRZ=)<F0p#{!x|j^fum$8%3)|ULcNGw<fNveDL-W&XWvGSJyaz63$KJm+Ey1
zDjLOkg0Timmd%xQX>9Ep!}@97RoQ3_$rCa~)4J}2Zsr#xuu`Yj#))5n1gfOHOM5Ot
zvtL;ccJ=yko`rQhM+g@v9yQ|+0>=i6=_yui=|~$D89L4)=F>!F-Dhu{F8V1t%Xmr}
zZ7wa~k^wzoSsI!Fo!lViBEkh#<;CK#pDV12_7)kYF8LD+P3&Eia)dCwDE^#(l(jsm
zU}r)N;T9|#7%i9sHAQa10Ss{MNEM>8B2}V@VV;TW7!&kkS7ZDss2rj8h;#7m8!n5e
zl~BsLp{i2j(VY`ZB{TisQ^H(m>)8|QF721FtU_DQ_PBNjn`S+Xiwlw~vvw)?^@hJx
zyYc-UBECh^#{GX+<OS7+PGF%)*|~ohNL<CtDKX?UH*%~eP95=3O_Vk=C4nc&TmEFI
zdTo|*Eh7*?TwqNBhZV%Bcu09Ris(SlNryiX3FbIY1?{KcYni7=-xyqMid_R|{VAn3
zY>vV?qD+5cpMa@U7bp3|GYAGZ+A_G#sxuy7EH0a&f&bYhVZYl6N5T-pjtAh{?86aY
zL|?q+Wv?LQm<h$9bV|#b`n@x|m^FhClQm;c10(j(nUkS3$I+`Y>%jQkC*+iqAp3=S
z#7yFLhW!wr)B$^ZQc>iH$xkzOra2L;Q2Xo0;p2@1T5@xN10yZfHVp5m1tT)g7qCN$
z^h2dADZHKqhn^|T?T<P6Y=|VyFSQ6kKN>jU1DeWXIpryCQ>Hl*Q>vz8!M(YP*0f2z
zqiB2Pb1f53(XjSK<atf2+V>;Lq@5l1UDzvjtksx7{%av^CSKlS+H^$wn|qiZhWI1(
z%B#2;Q-!$zHy7zm<!;`0Q16QX`?xeW`7iVPyOvX=tifiRkTIjfe$9T;6S}YNnS3mE
zegKi}d2V!FgUh9P5()jGwWq?h9(s_v@vFkt7|*-n)JXOj9W21Sxcx+G1d->|qeIbs
zA(Fdps<6(rkJfzFeX8Ats(siOe#tIwkp8M5_V48c5T~F6#6-Zpr4)+LIWdCjnKoyE
zZFKtUNNV_5@t>J_3!V=x+`nWTT6Oc1gt7uPv~PGP@rjU3a;9=Bq-A9;pK0rD#dKcY
zOy1chjjg_9efZ~0ol2+Hiqmt=lMFD#rR(a>*B&I`Bus=%j<p=%mcq3Xo+md|$u;kk
zs}<74Dks$;D>G_k&>>)9ADVSu>-u%na}j1lG4zteCl&hK*LKs@3sfR&&g3YM^XqQy
ztb!@z@KN7T`E_D3zJ`)<Mx9>_Im`vB_)@7of&V}<h#%py_YBMsrh2T9kttuP>XC(E
zYRTCTB+0L>7bQCiVYfKxuq2X{0mI4l4pE|GW2rM)y+bBfU=&^MDG0>wV=#2V8aEg{
zNGHi7D~dbxPKnjsGL9I#xm_%oFY8`kZQd{5-?-b_qfH7ZmgsQ3#fBe4rXNxSyj;H+
zo_c8;_<y!cMTXI5-)J?zCT8xe)*tq4JL=nLk00f&D0po8U%l9$;}=3K$<Tmx8-6ln
zMi29}c+|=6a67HsPS$T&UB&A9vu}I(ZS@-1dcfIb)jPBCD-oWJEh5Pr{(M<OI?p{K
zleNqxvogB}FjCj1n9$XUABm<yqy?3ghn|Gx!&Gm>AS_OGHeE96XxT<UBf4T4*^{5r
zcBg8pGt}s5dNrx|r8@m|%1u1Wy;XufmF*(Gkcmr!@=ji9T5OtjT`ZYrjfOV=!2_WY
zi$BLWT)&E$<cw#$IR`_XaWSRL%$b2ZjXw^}lZ$Rb$HV-jxfWY<EZ!~LNIFhcAw`0G
zKd#>SIIg<~oGuA-PFxdVfF=m}NY`hG4*4|rF6u2j^2q(EV{GH9m|`EsFNE7o+5Ko~
z@QN)2stNl75)0w?MF9F5$g`R8UWy54ke`mDg=WM!?p(J5yj@W|y*CvZ$1%b;QgDzX
zO3ou>hQOV8*`L)xyPUQ!f>+wLUw58CPW|R6J}0QYL6%w`Skf1_Yee0gQ*j?&I<zx2
zy_;B+TgeepwC$vRZL8bg<<<S#lu6fc#Rzao55S_9YrG)S%!5EvloDRrC~1>J`gZ!2
zPZ=$maYA>>E9_K^qbeJ%D1F7A%e_#S0NENPQO+MPE-@297A4KA<CyL^;LJQ6fIe&$
zh=J|UeP3KZ0fR;R2dDH^O@1$<)#pk7<UP6hx^S<1=SJUGwq)ZvMpuidUTUyO5bx4}
z>AvsYv*9!7gI5_m`_G-(?b@e$l{bRi*PX6zI^480KcbC&$LCJk8=Uya!3pa|?FVK?
z{a#sFX`TGnyX?2>?{CCEiIpz@9dr7J`TSQA_gB*W1w8*P-}x`J^ZOeV2zmo_`@fs{
zpZLpvXrcd0+WEhQRR3Ru=f5`~{#W72`7aFlpM~eY#{O+T{7>8ZUxnxY>vsMB1bY69
zt*QJM=*h+W&pZB~<1=hb97Jqve<9}IFw8#;l;tnd{O2*tUjX`VWB(dw|BFHYuK(xu
z55W9q{lB6${{&_JEj;r#D)Y~JHV&5m6<q#DW#iw#7!e!uzp&Z=`S8+Dny?RHLK1&@
zgJE0{2MY&7p^j23tsE*sOnnCJBTy+Zp#z2e>anO5Pu1CX8ul3O$%?G~t!likEOt|?
zNgi8d73<FSn5;@>-O+48idv}44zb^QPSY9b>&%Tv>K10@ohVXDiJKxKM)+lkwMEww
z-%)oa46sgn&0aXvaY5avvuT%@7+WViAB`b7#=@T3Iek}ITd5>PcFNT+?5@B+$yNMT
z^_@-=8=!N7T(ZHjEge-qmdJLwToKR7|LpjuB16eNe=gytX`jmJub**<PwtW8eP55&
z1Zg!JL@g_fO?7xA=LNzOERu>^31%L~2VE(QEfs`7G?fBD9^|YPk~KtTdb!6(E!<Wv
zmw{l6_{9Pq+>3W2{W>8^@aGD&-_RYb-w;C~q8E-cx!-W02AW?hs|jv{2iV$qnls-r
zwzKE4lf4O{=IScx_Y7lkz!2Jh_euQ^-u(~S`;Vjle@h+3X+<5}oUP2A70f-9ROQwF
z<^BF@$bS=#e|axG2j@S|m*p>TWcg1)n1A(OME@N)vUC1RF#bDmWcklUn7_09Gx`4v
z9RF{5<G-x>Ka>1h5$5lP{V%-nKU?&F<BflVFdSU}y!79B<NuJ6e@FgLys_jjZ$uM+
z<}y&<VqI`~d3?m<f5|noaL!MtA_n6=L<>a%0Tu%m{;_)nQ(Z+BQQ#Spr0;+X4Q&KP
zb6H#4F}hzHb;59pc{gM;=Z4Ah;IqUE4SjtbAejH{YOuAXuYa?|TWJ7p9GZZEP7KjJ
z-RUj9dujbA04gyO%4*rL<FbML!+p1^us;Io=XSU4om+Y(c^w4tOEFYUMuX8;j_h_9
z)Zb7;4G=nPK_G2dIq@TgkXe5c`U*sO(Otq9G_hW@=UEpwMJNT)VF%hhyX>)EXUx;=
zhct2%G+n3jSHl%aUPyu$r$~qXk7xO#vCf-3w-1YK8~@#=M|CKElw7umVMakdYRa0o
z6^duLbfq2;S`Q+e%KURbAmV37o#ZcA9|~RnYtB6W7=~i#A0GvfyUBET;HwCZAiLzx
zOagFs<(XKp319qu$br1T&!B3c)#KZu#DwchLcW-N6oHsP7^2!B`)@!FAhuwy;652m
zW_dw-1g@$rj0?cqz!@;JaE^$Jy2M{tMudU%ADhWQus{mHd~m-|3V;G3f0?}pbpSDd
ztmgVzp!WfL<}qwwuHV?LWwd+(ou7VOPd}TI1fm+@2&rL@-EoCV6lW*GAP*Ibu%Qzl
zlP<9hkqr35eD=b&6F)P%BqA0**3<dsbU>dM2rOkQBzx>~t2QLO$p>8!kmm%Cn47pl
zE6t<0Qg$GY%iQJ9s!B;%PzAs;2VS04K-fvF6tvDQK6)tOh{YE;D51a$!_HHi3DYXW
ze1q@@Lq9IWRL*7t1lGl@Gr&H`eI@ZQnK$kjl?C|BVLC9mXOTTk_-aCYG4GOa+H7EW
zh9-}b&WaviUWq<*ycyo%Yl$V-Eaxsx(GcpX++4i%y=A>=Sqc|oT3=qy_8(E&Y-p^-
zH4AYIA**HwPnqmVnh%BE-A@->PX}cl@p!<R0#`N23dUyNHBbGU5W9cG6?n{1Vwti|
z|E{{tex*l0_oIGN@pkpL_olWEZD&KS3D#kZ+c!3YU=3O8?^^f>_<3MO$mavofukR7
zFN8Zs(S+X}vMowz6n;92#*(@gv{`{MCFEkv#wnVgCsJ2vnlWhZNtJe2^NQ`vKJnNC
z<{K!^fz_`(e!3Ic(w89+?p~BWi+ehAJ9%RyhfTK!mKSBYZ@8;_i~nl>2g@HqFuIqF
z=AL1YscKE|mtk34ncErUf?~hV)@TR_6(W;r7z3CufrMe-%Wo%?m4n^{Flm+y_Qx`n
z(lgk3+6Bh)9bw}XP&=DBsMljB0M6q(PeJSFDWc<z@gt=x$|tBqWIqpGpB9)Smf|qx
zUR41m?=5Fr`YLdMx*78snFBNQF%xgBUyFywc-py~U$RVjYdP<HuVQcQZY#+40uUBJ
zcw*KW+|*~6pRpMA)a4PhOEmU#c178f&iCf?_K)c+UBchL4@hPb*i<KMO$<!QpT8Dg
z7n2r0f7ZHcd*jVwfVzl^m^;FQTW3XO?XLBP&iR7z!)Kg<oO4I@3@cm?ihHv4U@4B&
zcmf+lrSEb0g7zRwJW+Sy-i%1zLB84yps?5XbCHko-ODy)UQ#e779WCzWJG72$>F+y
zHfF9(b@lrW-`gh9n~c=gT)JI8(Uh1hx?evv#x=@%pF9h!etf72TZ^6FFLo?Cs7k65
zmOq_=o+&2av<1LF-m;t?Fz$Xhh<g;+2@xua5(<js7cl~#><nr#X+`VLn)U{_LY%&E
zoxZVchBAiP02_cE^ujod<i2|OB7I}@h9mCv?jqiCf{EV1?pB6tGo|Xm?A#KqDe#Q?
zIDQI!jSXdxsSc#DxXID_PT?GLyyksmAZ99R4Xm%4Jd?PSe?&zo>lbxsHj6(covSZl
zS{rQT93iVhu(%()-Rri*X~(S3i48CrCiEuY{DF0b5ESluZN24SWKGPJ!jWPp@f1{g
zLm{(nsR%hILPoB$D*b!Kg9Kj-99&a40Qe-Qm_>rFG_5zDVElA~vXGS~YlJj!=9I1R
zjmgC=FMzxY6`Ax48D4bI5r6kueh~s|+|s=vph!{8X;OO$#YC>oSWq4Ln6VGihS~V*
zhvlxSCrSMvKs}jP3G1Fu0Q?S+5p)B5bThaRXh>+eoXmU(N~Igaaj-MMc`X?|=Klw`
zPZoW0g!WFXE0tP;bB_ZnmKcECjvF@0f&${57xfhv5NXHcG6Q5!a;P%IBEf>#EuIB*
z;b0VmwwoQOkY3>CNiVZ+;EU9)a4m-JDe$nb{gX3&x3T<|!2)ePZ01*8eH}7J-lHzo
z6v-|Di_$1*A8FaZBpeHKK^9F3iFCm?#%>@c3G5s2jub|5*sK4s%O5Oki1`44#+;a;
zmok5&2<B2I6aGGVoJCQtl1gQ-HI}~D@(P3s<ikd9U>~_B*({4~GllZ(`Tj-QRO%<<
z4gv{FG{;sqrgVwImwNn}f#g*-?1{1k%;GCE$`9l9Ab74HUpe8}Y3m_2j%4_Kc2@j(
zU}yr-=a82?&lt}%&k_mpmVq|gQP(1fMLR)kUTB9J2r&m?Oj)c!FLYqo%Aqn!+`jtw
zI0$-HY>V<@n4p4o;0#{W9U#rXCw@@;A?`t;IIsuIu-Bbv^uhN>M1}T3oc(_cLzY1i
z+c5d#zU1;KHZq9XW4q*PDPZS5PW_J2C5ADJTUR&MQcp?Hgp+@vZ|gy8-4FU*EI15o
z+$Z3+1z=CA6ns3UpB0}``o#A=5JdFsloG`CsBsqPu>pUNcKnhd;1I8^tE%})z*AD$
z&{f@3(pK?{NHFuq$<gspQKBOi*6l|ZL947Y&n3qkjh1KQ7-06IDMzBl1Up!{ftjy?
zeHPi~%E)w2x%l2nfDaPp7>){X1tl~$+Hc1LQX|vYx0}Y&)b-ev=3G{~xr6c$grk<6
z562b`iXR~v3cBSvTymDM%|x<^cFI*+GD3YOFS8DHW`tx9#m0jf1LeBAEMz(|T7_9{
zXNwOUzfrov9*TQ>ai0uGS3s2JFX6%4Gw=LWj6e&$55Vh)CYpxIJ$DR~WOJ9=LvDh^
zmuqsGCdWsmly|_}Lx9M>PsVREHt@8Egh9MvqD-Nv5cZOf=qMB|?xOgW;192Zxthw?
z=I+NCf80U=mmbQP$?D<_$yy%SGnf?k5_jsT7ck((0E>u;Q&xwqbz!m0!Gj3_aKBn-
z4~l!1UVvPNuv%RNn+f!hb~U?LPrN;UV)|jq2-CMQN-w{_drN;i4)lrguAX_5O=w?2
zUK0(1zkYjr8{8bN1I%9Aj1RbX>sLsZ-A)&X(~AviRxOJN!GF4TT*yJr(<jm4ed}P5
zMvw}zxliu&l(jJO$edgY?dM`*?(J2Ork=90zC8R&{M{tEHz$OIALIpmI`+uqtBMYP
ztXbInP+5TeCyQxw$qCxX%s8T@(2ZU&C2iq@S4~*}PwN8|1O_Vq-P&<1$2O8@{5uek
zG%qdqQ`pb2gEaB<#|U*K00*dic7%uAFfYHWBbyG6@c<O5|F$rasl_EL9An@XG6b#v
zqQjgGlLfzuLVo5D6j0lVIu;gLhA=N<gYdkxS~j1h?#KSw+8Q2|<Ut$NQWFyW^quL|
z+3eImi(vcBxb(pK^mk9i=dzi47dYA3xZ92>V5dwhYCf%)tKu(*pT%UGsSZt1H4CM%
ze&8-lx{5;Lh6y%{ET+5Ka23duf<a2S-_{hf7$-Ae{ULNXR|t^3Q7Lk1HSb(wW@F|u
z<fjs>@Ck2*bIpiNtXH+D)~~`<<3!<_U2i5G3`(@oU70>psLR4dxZP|15CV>@(O+I&
zkC?l5o#F8q8GVw!MTWgqD$ocHzkxZ}ptwr9v%{Rq=!u7Pd1|3v;1zDR0^n~q(So=w
zynrJmrK-#u%D4b$iJCGic~b)7n#Q{oB><@^6Exs5{sx>9GT1Ac;d5Q~Nz@0aEU!l|
zKo^3ec$YakG#;XCYLOjsiAm~g%ebj+s=7LY)d}1`(tt0)xIp@f){tr^)0jpPjroD-
zw<;D}SwEB^`-B5IfdJBoDUU+`<BoqJmgxbnv6Xc{Li6T2iG+Ly&V^Z@3SKCKH`C21
z>Mc`y&C{J@8_Ef9Uw+LKw6V5v-GQJij89@mC<B7%)=rm~F+-_AQCe-8Dw5uhT(_fO
zNKnqCMWpWEm!2S`LDg2FHw>yBkR#ocdwM9^c$i~z!c=+NE4GbB@&v3h)2xhW;qedQ
z^68<4jA&ljKak<gEUJ5Rys5u(GePzw$a88!QBxdCRXSCq8P(@yQ(e20YG=x<w77^K
zX$v#MC(VvY5^nr0P*^1*DOqBT96mCk6Uy&AEt*i`O&OH-VGB2*@3a7vLVV%aKMy5E
z{lSKci4+fDGZJ%2|A-H!3Hx&_2GLK>-XqUOAkUT~Gf6d>kqYtlF_)Tggwg`X0WrzQ
zPR0aQ0oNK&GPQ|@TaGG`l7=VlRYp|B{S3*{0qDXOPA*dIXo1#P@5-|?X|UfO;s_z0
z<^kc9K@0$?#zg^{1x5nZ0MU3Vpj^v}^a|yJ!4ea?k_ev4T_i#|5#fG}@yss&iHWbi
zczioD)@i_H``)TRH^T0tY3NiX&xnYejccI?%K&1+H6rih2+Re-tDIRJ^;S_l&xAGu
z83b`Vaa&qUp>nbkr+D^ct?ySiA#f*8h8#?ZXaQ!LJ>olcCh)a3oJJH1bakEu4kQH{
z0Xhvl=`%X~XMsHK`{b6PZJxiz4P*lX6-xn~A>5QG-MoUN!n;M&$$}+sPnZbvaW1rD
zNFfM8qV<@4j|9R6Mlib&fnkn7+lT9K6q(%+fx1Xd!4?rjJtxy~;f!G<uqM!eJ`ex~
zq8Wq0nu2Gt$E6BG;)#SUEECu;A?;HDLT^N@<!f`^9S@@g(?qHT(hC$GhFskMTajqH
z4zvN)yV%o#Tt)JrKp-2vye~bXo#0G!pxx2-FVJhupA4!>Z5rn>YYiboqsy_uLM$7T
zGaLF=8NiqEEJYcYIZe=Kjit1}G0e5{H7dKy%N#yqjXki$k(_43m}YZ7Xm21j{zGKE
znZjg{!=ynLa|CT_HIR|cgwPn6$P14>7cIl32Q8bzR1#{ySF`Y=Y39HJ?J#iPY5IEC
z`kS)f9>e3^0m0n`>60bdW?F2i$+51N$}>|ilRDD8Na_|GBQLOQ-!cJ$^04HXeaber
z8oP*k_Rz+eojdE-a2+yt&;d89<*qB<$WQJxQoQ}4>qjSU;T1t~c12QlSy2t?htP1c
zMm`xP$yuyLWAovpdQA8cQ(lB=QPUF$9{(<?%~&@gRrS5SHc_nTVFm2#%L=)etK||(
z4>j^(cK{`a;!fBdzI?(3QESj>7E3p7xz!xKePz$JC>Eu|+V1qQy!>O{S*KQ)u_$VT
zq5e%Z<~g0HMBFQ<unmV?&IdOtDC;b$!$`L&W7hUvQ|r&-P>T8OvU(<GwT&&wN-6P!
zAATiC67mZ#XBvr>!(&Z)t=3`-?e0`SN2Je%M6oIER6-kteO_0-B}pyO^HdAd<xLOp
z)~!_>t6V0UOsgwp8dj>jZBynU8+v6;?Q|RAV@=QqfMV{rV43WK<JXz>*RKeUxquCe
zKEO0#-YcVE7h-I`qzAj6qI}r0<AHDBa-5qcqoaFu7B1AKDEup6IqFCAbZ%?lu*<Q>
zLGj)jDG$y7DM;tA-uJ_M+=bOs#_bRN)AwQO1rL438NxYk34#TzJl3M07s1?j_#p-!
zK06ogzfb;TM@$tWM*n@%uY(=6n}Q|GS&yrNn|0wGw;<o3dxo&{AUbZgE@)R(@@o=r
zd?d#z-c`2EX~rtmigupUuCc8_l0RhgA(i$(jWbX}Rre7`h{ftm6M)o6ozOL!6Zs`!
z4@7?!-QS}1<a~JCxR`N)y+;#`k>7U?Z}&&E7WDbeIm6>S_vo6yN^FHkfHxR0L#D}s
zQBFZe)A8&T;A%}zwnksC1(=du*EjVa0(Ri=)BIh6Zs>g2jD%8PfVVe68EohjV9(9_
zDyF6)_`30=DQCFUTP!i&Oh1`tkKbOmxVz#vq(k0FD*7=A@06i|^u%_webQKMXd>av
zP?`RbNQPi?UtA*lu}05_Bxc_P#FQ!0y`rP=^(VBUUFjr;J{W8d<;XB!Fom}VP~wX~
zFC=KWVM=h@iLh^*TTs6R#i;5r3dy=C1;dqyH+8{gXuLoR8>pewg?1_n{7<PuEBCtH
z0)#3E-ia}Z*zm@23+xWeLM6Vy3zZ>}aT?JJVGFljvyrlHNkx*^k+c3ViKrTg19*IG
zSer82feP0cN!Tn=MIOWgQK9rf+|v6z3~_`{8+eg)w8CdiUVCVJBmireuIaH1QuEDB
z&n)O5+*QJ)9zWT)R)1w1m6%us3-dI?p!i^iw>9DDv|y4(W;=$kGUo~Ev(~m+@O_(3
zarI!P{L0$Kf%z?7npQxL(*(w7I=2Soa$8+3VyP6!54B$y0nnn=hIVingK$kCN{^Dd
z?7Dh%qI^xRaNPX4Phtz3*0|iLn2@?+0Q=$#lKYX<4NJDd>+DagTL6O#G8~BY3*8&W
z&#h8LG*Qc}>Sgg`xC#fZfofyeo5GXw)mE+1Q*9ZS#xtaU(x*AeaLk7$VdOy4Ad*zZ
zKs`vECb&CCwcrg;H|)0sDxE>OAO$q@n6y+3>qwJMoam}$W}m46OtoN{ZvZSl(5vGY
zT0mtF1V~S-2A0a{&>zHdLy>P?2!U2`-C%O}><R=((fa#_C>5+uTM|{d>mlI$iK7dB
zIZ-?*{Bq{@>~PyH?ao0OuH4|Ie&4-cI{0W*7J||NlfGp|o#0`flIcROdwGv9Kcw@o
zCr|Fft%!581!A4&zlGd^bl(Ym_$g{4SrhXf6@MrO?3}S5E%5H2-5fdQjho(QiwvMl
zpCBs%Pb*`K8ms=&kXo(;OC3M06yG|0>i(UmldSf5K~OEBfHdctFr2#|z!!FYaYh6!
z8m<*ejDZ73&0yW8kS7fDnxX0}<vvCcnIv=N<g+Evx-(VjV$xpUrNuW~`2>+GY_ki8
z6CyJ;B$D<c21Fx02KBrm=6+2CJ7P*0yOSKsB)lXB1_}&jLMcNG&p&dhg63mT9W<bC
z$1MA|W$L+j{%>W6!l11a)N|3TGu8&UNW3}IpuQ<lqD*4PjPpUZQRFKLDdD~!vvGIO
z@9)0&VD4G>Q7Q=nhqP<J(2b|J3!Q(S#71<_@!0ylB{=5oIgN4alp{pzbFluTraz>j
zmy)|j;D521D<z@AM*Ntf5ZN|nq(>gloY9yGaGab1-<D_uRWS|F-o@?TC}$fg-6Y1e
z1vp4?xkSY1>?jC$l0Iz>a%!YQ-c)vbzTsw+pUvvCW7c&YJKAZ%l*bWndQ9b8i>iP@
zBC5dfz_8xnKdT;slYY!JAY0f4z6R6O?U<%_+>Lb`+(f%K%AXF`G#IgT17N{I(vc;|
zLWzX~3UE0EN0_Q<PFdfHwj$+(NQBf4X8dO@u14X^-EkM>?bD{T%sVD8o=6)JNeQ2y
z5@?l>I48W79)F>kXlDZh&KZSN6LnF9{^n;Z?euQq>FwCr+53E7QGZ0dK}OaYvn<~#
zNk!9(s@cGx^zIrulYF5~wzOKmo47bB<07OTsK{DbM1_5ztYvCi*M~9>KK4ZJY;w=v
zIKN5K7@w=-2&Bl#4>q1Kaa$Uet1>=`?tl$7j@54y-Bw?@9vWSfI~t{DvB_nA<>=-s
z)%Rr?lRclpnb=8%ohvTA=zu{^g3SW1&U(kBJxXj--n<uTxLc36vtB%}54=9$I}db<
z3mVgLEB9>;xUOY?aQAHf5?)jtXYnV_Y50~sZEkGGlk^@{l?oH|RoJs+bgsm_g)R~I
zwhdLb-L6?WhpV;!GqW|`Ne%N@P|bOBEYPqh5rI9Xk`j-nbRP2T-2g^@m+RM<@qNdZ
zJA~9HCIDU?cf&6X$uc;s6dv1e`}|58yg&dyWGh@AQ*9g_gYU0AECLpMX{*<b(`;5w
zU_EFTSvF3D?||jI`<^(?qhbJYShHM_iVdWWjy+VtF0~+Q?=&El?+06avr+b%-@O-A
zPTsuSr;7*sGUau8p!Kly)5E6>j9Rzrd^p*VQJ;y}<L-d7nTwqV((v)L`eg+nx6xPp
ze9%x;6r7Cg0s8~hxmZ6J<m6i6n=G5&ddO<4!Ka96ZpwPfl@H!Cx>_A<G<v-Ud7A`w
zjd<GL0RYyzD!MI<;k@P|ReA)6g8Y)aG#ZR|sAwc*U{Sw2fg}}&Im&V<+&dg_j=O?E
zw7jkQ#|mo&2TNOSY_E4LYI5~c&!B=OL|t21nj@Ezwg;oxLV85{Qqj`ld5&7wwO*$o
zBNp$;){FX+Ioddla&G4^VY}ujw8?8;shmdeW}s`$OY?9m|0U}&=s}i}GAvNwYD=g>
zL#hqbSm6*9xpOD%bDPK;7(gjQ4R3J`t$k5ru8kihUbFT3ZB|pPaZ-82uC*X)FYIM@
zM*#5BW}A=we#c`xlGM(<t0L&Kp8Z4Mfs+FLrRFd}EjCsIVJ5Lhja8+Z(5DutBwUn`
zyKts##ZQv}r9cm6->f-|a*`m7Sj+~ArU|Yri`(*utjZ<UULoR<5~4xHmQLK(Q}~;9
zWK-kgc4Ozd=Q!%ld2&p*`o+y&;PtgK+W`R!oEN)zbh}gK;q$Ba%Im589$-GpAT<!a
zlGkP`NqW<i>?`w=sUIN(ZFo|T>1eA$YdMSe%DWczXV~W|LQ>}MXMXQ)GOx7DL4g$Y
z%GXK0s`5%DLLU_*JNy(<RZ?|SN_7N;jCNGosu9)GEv`cAQ%{(_R>3d>-^x=EWwn@<
zQPNOKkpMBn;yU>1=%;m*w*{1kNEru{T>Ioxy^Ahf!BPH-ot#Gc`o9;r`y(|?;4HLa
zdMb^#{K;(GjUb3Y_S;0ju|Pp_btU)9#!|VhfbvsQiNt^1ZqM0;w23Yc_gp$4tmur9
z$3;YVyf##<b~4Q7;eK&jr>gRoh8>*8!Hbyy<IMDkb!NO?^V2i5yUERPxtX6;LE1N!
zc2%m(v?^sFe6D>^0?LrIc@C91Rf<xI;pMZgE!_z!2+REsA$V|{S@0+|X6z4oAxwK*
zus6NJm?&W<u5z+!gYNeo08|BdYg1thg!M1V`Fyval)u-Nt%eO1j6EVr_@tpcR8x>L
z&KgiCm1A4n$eG=gn6Pb{l$d~s{6k?ogGBn<!kkc8BvC^DCzCMJolwp)u+?zK?ft>k
z)d-^@8>_(MmCucj4IuAsMYHDhsimrJ?by>|snXKDTCY8%n%1xADeq;c*YX+F{795y
zO5f*jbiExl!oSCJVp-gU(?P*1P2l|$T~pwVOim+=XU;<?mq0s$mz)2i)_^6Kbl52c
zDLT67JMy;YqMSJxe3z7=pq`0lKye~GI01_q_6?<{fN?qbE3w0BtjxJ3%f@KLS#=FN
zhX<y*1eQyh2sa{yOAli4A+0(jn6Hg@0K0Q<I+bq1nS|DvnPd2OjcAQ&&D65^@<ny4
zwnOA)>vd#TU4Y^1JYdNby&Ss2G>IGK2gC{FF?b!UL3(GGqqedpAmC5Mp6Ql!2vZ1X
zSYj&_aMfw++oeIo5N|9o8Z%DOdj<j~dQvc%)FPieNv(5*{IC==fFb^Btj-*(rW5yD
zzU9M4TwS4N`Sg#Je)PUC9};6!;~nOxv05+*S1{b+-HAxEIE8Ie)XM=)S4Y0TE*i+S
z-5GyjLaj(AC6!=twO}#4k~EGyL~wN~r|x8MrZR4fH>on^T3Zb0vJ$7iL`z`?!s9N0
zEIni(l*VvaxG{hE)M+t;w3tsmZUBhd?}0rE1CA_i0}Z$ckcG{h(|3|lBoa&%OszTT
zJmv_sCZ@zc!z|t9`N#CZ!SCQVWm=cgoRZ<<*K@3DWsZBa@@Unk-+3UKkJ;H@jQMaf
zSwXyfq>1PAxE-+FVLxI>&||mP@<!Z9#^q{ay;9yUc(c{v@;No5rv`n0@}l+yv=yjz
zp`#b3%(;qNN=|;1R+u=K$UGNbNt@_xe!E=hvpRM3qQS56<+&ta6MvBKl;F8~7xYvY
zS6BV*Tmnn~*uzhPu8cub#FygF)hLi?V+<oq?nt7(8bW4B#F++m)Z9*sgp{=9DXLlB
zvIurZP^f`lTXQ-rp>0`Z&X-3VV*@Zoq!J})c<1hBD^V-GMpYSe5jh`<y!#{FN6d7!
zfGxb_6I_IbBy*HZGD~gJ2%x8p7pozuib@MJw^d&=!=r{=CTkerwgT6ZA*<9`uT)ak
z6^!6g)cMWATECbm4hxX=!x4hWjB)$@B<RZcRo!>F>*X{N*J+T~*!ue<sYKZ>o3P7i
zU0-^;sFkZ+|7Evj<s|9K+~;`v<!q9~U^n;pXoeoQ^NggDdbfG1kz*+(QU@|$m-nf!
zu51%_l_yDHxFkaz0QRNOBVYXjM>-Hz0Zos0C%2n9Zm8L9?`QYAQ!RNVc_D!HRr(~h
zW;r;cqnQ55rZ=m*<gT9U-nL`ixN*KYxDs|vz2UH|*f?FGqt#sT{$80~=}_0v{mxvk
zy11p>J)%hA6xroityNn??ZQ1p5j({MmYRwdwiXQ2IM#QH^tW4QW7Dr;KkIgIza>`y
zgz0+VW3E_Df+e<;^;0w$)wj`4)-Ps;y}?tajb{cUrE>w&yi>a}Jv;4qkMC!_@L+{$
zM}hw`jim=h9rk2P3~wwdlQM9xU`x!!75HJWmVF^d4|(*?r0;J(>B>YZt=dXF1~5Kl
zn?+^Ihhpm&B*9uZAtJbl>hA3`Nd!y%D<y|m!cP4qcJ(h9L6ivXKUh>imuXpY3FzoV
zX~XVX3^*IenQW%-*VgrNCtd=d)Xsrs_`vtA3e{j^>*x(Dp6~MO6yktpDwQgjq1t6Y
zT^$B-MUlwr*ai_~KhzwZh|w<bZ1x5JBR3OE)0_(uX(9w@2|CnZbx~gFC|($$(z8$<
z-3StE=qly-yOyK^9m+%klM5-JK%snTpXj`D%!VVTjzHV>Vj9`S;`=OBQ^T2~co%Fv
z8E+3VO<-NX%K1EXgTdG4p;2xC)_sK{e}ZA@Pz_!>W#!O&Qp56fSUFvgS&%GCuLoaf
zvjrqT`SXc%7!w0x9AlBrK-zAVcVT1|r$Cb*i?jHUrhj_9P<7JgmHqQ?V|>Yw-Qi*>
z-3CKv)R!e+f0TZao`s=hven>x*H(BKZ;{2jW*7<V*f{|q4ka5;h7Q;62p{U90;)MU
zYDs>1RDrl6tuRw3oI`dAa#3<|WND{T{oMYKQ#xx8si>)tQlQ?f?FLoS$FhV_JK;v*
z42iekYDjrvhCp{VrhHK`<tKAPncy|cJ6(@I9jL&%4%(5}@`m`fKI1%4#!h_0(q+|3
zG?F6^6dT(wrA;4jzix>|SS9En{U)w+F&r&wYN6<KGhh@R{8=zb(1DCkcCH|lkN|lt
zF(Rz-2_-A&c{nA-)vU#zJKZVoIIxVL2)gC|i`!qw;9U<!=eoAsj!3#HJ73Rxz4$(W
zi#yXk*=N$BC?hW}<!C*Qm6lES##m+>_ysS467n2to?&7I$Mx%aEfIy1BUdO$IzGW5
z!9Lb5GI<?t0CKJWudp4=?~kWux(_msedfi28#kKa`HUMs`}F+J$H^pr(Vq&+2ZeP@
ziywH8uS|LLm<}TwVV2c$LYT9VrzR!TMhLf}%Ivi$;W~`u>Dm}ku!FpXa|;^6&!+f0
z@_DIt5@v_7VG_e!+a_%HX$jLLo+5wG%$M}P%*THI5Zz0ljA??SXaBjx8mTjdgatRN
zYo*-1aQVm^>C$!Tx-PUF`8V0hMWiJLOca9zU@Kap(E*QfEwqjw(YSJdSmG(uDOZoE
z`fcAOwX7@cR#>{-urQ$IeM@5YTW1Xl!!Gfc8US+}Nox<h3pFK!3L&_n6KwR!Rdz#q
zwvAQeoVue&<onzP26m+a2F1qzZaxcyGB)SOMXN@y4K>(-o6uL+<=YY)Vg*RBJ#@H}
z=j^>DR(hVH2+y??zf*m1lQmB5pt-W%F9Yg|JK3ZF8q<=D;#nWywUzWTJY#gnP?23I
z6qo|e!!Vu?P!1K5@Z>Qwf;Z5&kf-?hkAaW*i0f|`|NZauEh?}5JQkHB+=HH3!3F-o
z-o@_KfMlQU58xTlo)fj>s!RU7^o;b-6~4N+#mxx}O(G!g=HIxkfYkzVhm8G7dr41h
zB_+-;G51iArM3?JA=%%c`^a}#fF>2DFS&3=B@=sGk8`x!h!$1KcRJkPFd7*l#1nWt
zS4ADXpI7#+r!UAE%YK&y@UH?0G;pmAGYLxh+2zdQibfAJ0#@ILKeYpJEZFZ9dQKyj
zZpz|}AF2WdI;`e5vN?N?1`zr0W%Pe)H)y>kS*?DqyJ+RUf1JC`2s8qlYqYFlPqI@5
z*)@0;LsK@Rx<-dygl>fSEFo&MV+SvP7*3%yZY+!Df%7Dp+of5cDzBS}T)#@$+q0p_
zoXQvNV^z*$)uTsJ7+^+f6o=|)&OmCzBQcelwoX^SX^67b`jSDA9N!MzR^FC5`n+!Z
z;-Mq=x#1dt7Q(jyW>Jp;nAcRcN+{Pxn1wwhd^hy4P$g@(Zb<U`RyYNBE{yQf*Rt$}
z$-{8Go81#s0UBTlz`^a>;5Q)77REF3NBm_z))2iO6Nl@o$g8H!;M1j3brE*aVR&^w
z1||alu<)7f4qN<gJrgum)y6B2S3g<Cv+zKqW=_z9A!2~|<H5b-iXC3S+=#~P)WFDy
z@1m{-Pkp#YK1V_fC3;8a#B8~rk%OG(oVZm%>F2PyqbH+F!sa%}LvkxOCu&TRpG-E6
z=44&`U4JezM7I8|$nz1O>r6Q8-MDQZcuziKHNlU7MQfvMVKL`O-*Zh$%nm)Ca>z0%
z7T=gG<?V0<8+ZTAvax<SkpBwt-}fN@Z6wEGbFpE%iuW+W@jD|U#q%r<*eo9PKtWl)
z%5L*)5{Fcel7&K9Ba$F#jWe*moCD4grlV-J)wM!^a~)fHQ4sk3G~X+;5`VSu6rcBI
z`@6GPafY95ZCDrYfzazo=^SpE@SWcDadt0Y?#8)|QS0fqUwjw4b<ycBvT(z=Oicu1
z&?ADkpV_NcOzW=r<c773%b5{}Kq)7R1FF)|cPMb)q3_NIFutOH#z8)BmLT13thN_=
z@*fQDq@O5x6ikvP;j^A5K_^*b)~}T*qSa1Q$>KT9S~F9-ZY!mcCd(4&&&%J83q=g6
z4qw8GRx>mKwJlzi!fPz(5KkRlMB9_r3B5d(ao|&U$9kpGW-zal+tAx<+ocA}w5gLg
zOp~s`i&QZ5_=j2VsIEDwSF}9BUn}rcLDf_%N{gUbG6Db^=n&?>pJggJUl+AGx7>Cq
z*3@X)nVG;^z(>R<mKRrR+(D2Ps9XZinN{|GChpa4U<qpia#>y$Rd8CG=Mub5r#=Wh
zFKQsKeWEizgdQf*C2Kd6WdzezXi<k?8alHS5*7z|<Gbq5ra9w)G;5`wk~)QVeiiU=
z8_i|+NLGj;Mh(AUr8{;R%$}395m=;<O$J0cr!;DB6@B@piY%>ceC6_}1ORroHx-tc
zWbD6HT8?)kJ^Jx#EN(=kAG7ed4~8XLC*%p1uI4@!UdpaR72KN7G#2>FM&tu#374wy
z@$@PEFzR1r)`sh=!(ojL7T4)4wn=`_j3unZ5+>63oJ)zR#xkqm1}7PG#a<07j+y-R
zv!M06gb5KZV0;sNkbE=+4T>H2!XG7BC(uSe*#B6GcToj*y{K7uEAt-niG|RcI=8!d
zcgtQ#^0fBHpFZ<xk=dy|4f*L!k>oKtn;iLps%7OCwn6q*68$=_Z21{bffn1ffb}Z5
zactQ-J5TTWE2BNC>FeRNy%d;KKNlfR*9V=tBusEl!u8oM*r^N4!jPe|&*ey3(T3nj
zP`_`8O*w$QbHF?H!uo~g4r4`spTG7h%l%Gyr7_HhZ6@12vQz)VH$tvF+Kz{AkIRCf
zY4eJN6RnzlRpqwH%BO$gw*zK?%H$EvzyvxyoJ4V<5tZhx4!#$<uv%h7rb-Bh_FQcI
z1naF`yObsl*dWo5BwuIkB<W*yT)6gq4T008Sr}3nuwWJ}y<;K<xMfI6FiXf*a1RJX
zuz2wHf~xWQdZ<gV3d7262#En^_Np|RgO8ah)!p!JN_6)hsMsi%x->Ml%4L^l)xhh$
zNM8@sH0I@}z$Mb(q2u#AMb3YJ_;kqb!nFD07SY?d{fJuH3!zwk6c$fw-c2*|a(7F*
z7DUh@E60V0(fP1oMx9s>h9PHK$oDzuDUa`EeQbfQ(wN#ppS?%Owc1{e+~7%9{(5(Q
zs*@1(SbMdp)oTdYc0&~S_4wXx@zpXc8*!QwEN<!kn=otTBdy`<78h2q(EC0Nwrr}b
zEdZDev2z@xEDf?I<$(C7SW@ZOJfBtABW*&QgntKBc#L(3dxs1<%PRjoKZow<V3%CS
z-Ifo(busW|#HT06rXo-*MVdOeEvguu%yv*3*p6;8Go?S@?{CcL0St!LFUcyCg;-k1
z4Rk@JP7!mjo9@Mu#+{cnjDl2<CDmMOW?$@7YIV<8y|<QkyST0r|47n!$J}#;IID%~
z`2?>l**4kDNsJd$Yv+(&*c*zNk={{7Bn#-fpj0vHbk2=G945HbYqkp1WQXW9`()gW
zRGD;iFh|;tQQARrt86NkEN5=Svf=w)Xh+3lJgl<M>f}wcS^^DiU0o$yYAX7r;b%U0
z;J18h=isGujGUO4@VOe8j`+#H7Uc;N``@7<qBzl;F%wCwM!{Vm;Hbo~8KK+GeH1}I
zzkKHA?+u+#G(R<u;8xR4pDVcF%a4Do7dyYzXFtpzq38Udy`a7pxI4n!TkgGbj>dkf
ziDhYNNlQzMsV<7fNfVacAu4B?u=`f_mCyE<RJ{nTJcgw@7F2PM3ur$qy4bLw-Mq2E
znbtVZXs6AVIDA`<z5XoAC&?(o#j!v8v<C_^t5(dB>K6Zsfla_j9iQGQ>@7Gr)g3D8
zru*W3qkoUqK7c&>d%B$9d?ER2G)qp;3s}(yiBOGjPHsy^*6vN4sY*sac=t_OD0yzt
z(&UKET3C$mT509wqL?G+o3#4|iADF}eFG{OT!2NPQUxZK@V(hqfR4_(^(&!`(q7v(
z;h7HvcMVgBv+bR>xnPpAuLeZPn2TST_W6|m33|-7TzN(@(N8<T5(B+xtNv1(dK~TX
zZM06voM$F{BnNJT6*33cBL}F7ryRq=g^<L#)^@>7{}fa*r3Y_Q(q|R$ha}}NwS{f>
zJ_%5nu=^(h*C~#w@PL>f`1Hog@KOII1w5JK4hwB#$BR=GMYuHo#F~7t>J&p9b$0NE
zJ^w@H#Qvchh+ANIraq{%V9a&GfkjPW&Pn%r!iXU<g3tfM-aQ7%_WTKhzqfJQwsqUK
zZQHhO+_r7wwr$(CZB*Ol_U}K>%<Rlg>^>3uW?yVYR7D--IaQIF=R|%p^TYkuJ<;&|
zup+)w0KP*(?FS2g12(DiexaxP77!tvpaSf5wt#FoAT)&8^OPHjtDe8g_Wt}H`_3+V
zI=@@9>~H&p(-Kmij(vaMJGoG+a<VzhRIlnsq%VJ@DJ$O_qS5@@n9MD&*|Ybl_@SpO
zS=l0fasGlXdD_0ELNld3`tb?cU*c^LY-+G1gB-05G8&}OkY3h&T~Jw}X%Jb_g%kkw
zXpSmd^}WY_l)H7|*_}!fPok^o$z#Xk9BxjSUE<G4VTuZhg)*f~7NJ;L`E%&&=pSl@
zB-=-OdVDG1d6V=os?rN;QI4HIv1d-)tlOIe$5R`T8tNN4zsHtSRF-$(r_!Tx_MQ7(
z$6edkV6N6Eq2@4-oU05_H)8Sg=27J2Vdp%%uGx>fOI&*&{6bkt;@QLiNVLuKI=`|l
zz_k8W70TxlB&VKeMsq3dMnCpQjH_+w*aj6|NELhD81pt3W>4xa=#V0##%O?Qc{LV>
ziDpZg#4fH$yc*I<Fx0(!jAk@->F7L~35M}`-w%cf87YUOxI}y_f|i{c1MOhH3CiE^
zpStXKo5qb)Fud~qxISu!!wU|Zi{}_W4}3WiK|0Lj63ir}2pKIyI=5&HcU`G$;wZPs
zRI#*X6^7sY*&7dt;Z_5!ml(UWc*rgyO3LNo&|=%)2i;aB0sm+ts0|bN+CmJAOHMC#
zgeKvi)1tRrLctWL!^o2zdwx4i-5J&IoX=x?r(gUyHY~kdhUSPUfZL@fcYFD~m#z?I
z#@6PG;TbJNszl;mAF#g6+LKw9X+8pCqCmyrma39EQe}!st~|_tLRCdW;$p$Z=r;$g
z9$w=r;`~#?s8l5sCv~8l*BO0F?};NKD$><*sG-b>J4*v-1c0p(wYXDR;1aW{F0raE
zDkn!#U}=&Zr&F()NM_*=Ur{3+$hG3HhY0j(@o4r4u%?j#VkpgMrfsW2Sz@A@V#uq@
z$*{Cp?4fZLO`KUHGBPh@_RO=%Y!KIlMJnp&jE%Xu!kcaCnlv%a?hZJe2wq`j^Qb<Y
zB=^cujiL6O#!u#T<@=Oq$U?SNC2sFe>i-OqGN>X^P#t)hLw%1Nr6~-QSnUA<RhGgd
zXXpWxoTW9=Dw|&*`2rB}34f+wn($GKEA~l|Bf)!1li!8m+pAG2To3-Rzx59U<}^RS
z)u%i}>4q?Y(v{O_wX2atNbvFLeI;a%dkwoySDFJDP0}!a&bJ~{4`(8F9VV%5jTTEx
z6(+WO1C^%ba7e0{lyb;QHqeBL(IhK0smO7jcSyh}RnGsk2iDGr!xI}n{L=sybCz$}
zcIWsCVw|1$J;8aSm{>OrRbooqCk#igjLN5G*{6*=Mb;VugBagp^{#vjPq63*LdjYw
zT;ZcaSr>#=#>IVi#$UEqv#aB0f3{qjG9|<ONI83UNc*nHA^?q3%chLzNO66LLnC#Y
z4OcZKt67a86_^13YzVZ6ykLwG+xuD%#j6i5oeOb(uQJzB`^{^WkeBkdjgY3xVGw3;
z;)9>vfozs<_xzW!GM~P`A?LX|?uzjqNOWC;qm?~gcyaeBbSV2m4pZ`H1LcHpfukqd
zM|hHfp%Hf{_8*T0K9}M6$W^;#QPt0vwzJQU_kPc$_d3_B)~8L^t4_dX7w8+QPUqz_
z^D=Jxr}BGO-;<8@*LDA+wa*77ck-NPAa^EYfVbgBrTLIYQw?1{7R-{uCHr0I-tzoj
zO2HP<$16DhJb!dIxC0lS@}BOMVDG);?K58u4FN}{^W<R)s;=^c8KPjsF!HpWG_4MT
zT3knym*9)xO>sobz}90o1{<m;=T}DRAoe^e>#OLmYU!;#-HeX;FRZV}gL1!Re^Mlo
zZEy77)C`ok<6#xU4mlwXC-`uO7Mg@-xtaH1dtrY$5_6#6pyY(5;sa9?4v2L1{l2@-
z5YR27A=^!L*iqpY<4%0yI&hDXUeqD<hCDydm4FS}RbVxrt3zOd-Z<@RrQvd?qg%jr
zBD}H;`2X2SnnX<-4tj6q+AS=jj{pmmmb=zmlWEA5dldHbDk-K_zLzDx)c6~%SZvp(
z`Ik)n3-8hz@FuMKlOEzDy^VkmE!}@iK(TdmJL|Kyo=VP3rXX)ZBB74zIj7+cI-S|2
zJwN7IjEWTUchPws*v$fUc!KF$t1yYzW3H>sDu?0Xue76N>&-5vhkjC3Cuxt<wgrMb
z$ta9-kB>206D!K<^|I9OmSuyN#IT6+q7AtFCs=LfkXG$r*irdaI{8Kk=X!l-`}W-V
z8qS;c0ZoXk0N{sf<+eLz72j}sdshAL?jaOEh-<ON>mn|LgdGIQ*5c9b34enW_<I#=
zjGqY5Wf*INO6>Wbg)+2W#YF|NtTs(N21hlDAF5vTSDSXYYYdS$sloUt?3ywovv-Ey
zjmGwh*o^a8rc?n9BH74pB;4l*a?%=#RqA}){b`)*E$8|0>>E>RdSI_dGcY#tOe*XU
z^fYgIO5?0jSF~^p&wS_tRn-cxRXqnbyaElN&P|GFT4Qg=XG0&}8%p}a>8Pl0mD01K
zvP*gR4yI)a6gbG@74}N;K;p$}J{%JdyCLipQ;N5Iu5vN^&VN^Rlq$KuM-?48N%bmB
zIOP;hmm-*aXKkXBvfCqKm08M+>AVJ?Q=9exNE_e1?Tc*H3IcY|{?<_$O3IW&7q2;F
zuwtXxYZEZXJO<@><eWgD4{hF!(HfK9T!Jj8)W;!_R7~OzeKb=)zD#NFXqqMRquZ3@
z@!FZPp~D%wzyx?XRf}b>Akg3Qrn4Uy{=SwIx0k%tlc%UtzfK3=9)x9N0JeA>Q8z0k
z{|Ev$D>ACn*(>aB_$1YHkss%`80TrsHrR5X@BmbYM`w4y%lF>STO!mVlla0JsjXyS
z>qY_5n}(#VF6aKEh4_<lBN)&cG)7aQ@|~VuDv?JZ<~%tZwo%YRguQ&<J5L(mt3^3D
z!J0O10~j6GEVe3810s3g`9}1Mj~9+^l7F}g1u!G0wE~Fhi%9mz#2LeT(>7x;Z+Qu-
z;B4z)$B`}l_{oqeDl||U>ri<S7Yt0SSppa=QH^QwHD4)>WPKt7?}t|pd5pzrO?!YU
z>pV2wY1W(bT+bM*xA1if@OKVD_u*_+Q7yXVlWA;L*62Pc_7syXS*3LDy-2=0vF0(}
z;?{g#f?+4_01iD!9U!OV`p}&c_Z`MT^3T}}KTO4{8>1VeA*g$xsFpRVVKz-VsT-zm
z{ToT|LuNP$khp}%5U7ZkCZ<}a&8W_|8C*lW%Dq;e_(lLwK^wVtKx&8e?NH&!S9l>6
zwB%%DG!VoR6>E{V1q$4;@>vb&twP4_oAL)e(E{+7dCUiO$pb_UPU12$`fQ}6h_HkG
z1eW6B_}GZO==I<NKlBkGR01Xc3e@NgyeRo6+tjpg8Z?d%s-A&w>cuDxN0cLlwS3!a
zuOkfG_S?-1PbF4)kVGiekR{2b(dAvr-;;lucZjZPPg99EG~AGCuD!BSgIU#@3Ljxs
z;pe`BR-e~X7Gr!q{dxFO+Dti|wyoTK#;g)q4Tsy~fqUmM4|{vut><~s=W=ra8{J!Y
zh@UoYSe2z<K$h)KKtX&RxY`@^->SAzA!!yxsKgvPMvi2u6c9xkshW_8ovmWObJ)g(
z<(9RQ_L<;NqCgfdL_a5o86IMWP`Y+1AkB-GC!M!L1WG^x${$r#FahV6GoY0|`fcrG
zIKQFw9(Fx_y}e%yr33~qwsgPUcC5X*K);In9Uk_Rn9CV`u}jg|P<&Uo$rwDRnnLHN
zPaqJ@DUWje1yc}7PexaFB&Jg-BmBW{tgTPof9&7rVpstt8XLz&b4J)`qS|^!ByD{Q
zdi$G#6Yx5kqoOrBl*RD@G3G{<Q!@Sh_H-dlS<gXQjE`($Et1eHw1BF!Q`s>x?~c1n
zVw_kWGs;GaS|?mmT#SNNbN?491uTdJyw3}M?CGzUvwrs#;0Hi<A^tCHj&;j681mdH
z&xIztLBaX983T6S^ftWwRiz(i`GlXoc6|}|oX6jfF~B%x@Bqtn$4L{0pq5NTZ=B*Q
z3k||Jo`&0tt+%83g9CmjFO{zSs4W`zisx`TPL7if_sv${EBsXh+r5g`tNHt;V1}!0
zOQ&QqQV%l^3FgrkUo>E!;l*UOKg4(%t}2JH?3a0zbJEE3=I2Nd0tv1;vyOo_qWk8J
z>u$r_I(SNC2zp{Ul5{3Ia{LW;z09D9ytnsnOoaSdvESHX!9=*t$2TpTG|j^(wUFN}
z<-RP~qtBBEqD1;JkcVx0HkQgHH2xsgJP~=D&_qzEQ8N?vVn`SOSa8~z!aJMyzg9;^
zPizE#{hH2s9ZM}mD=Tth+nG`hBtWaV;27}ZwNd3&ggq>^5PilD4`drN^T<gjoG}-3
zO7P~od!_xf6VwB=4E@ulKB#&HfXJ;SC2!d4dZ{tQGgr;)h3Y@SFqO9@BxQ06H83Xg
z*7(bgt@=@SYGfiPA0`z$jB3}jJs_c>MsJl)El2m5&MGHF&Q+QAV$zS@5jdCc)B4H8
zwx)TXB>ZP@R-va%n#3%|?w<TMP*!owKwkNxmy>mlv*p$lJfc2S-Y}OhE*}JO(W|g<
z(Agv9@&Tp#vamku_H#D@g8M}l9gFJx+%6f24m#G2<K`-1;Hv2o;eAs4>O<{(;oqII
z)$?FpovnJ?GV9E0{Pe|P(H7DTv@DGiIouI*EDO++A`Ev^xvb2$#yX<h*Kb{pN^c8>
zLOg1Ge7_#T6npgEIyp+aO<j6_pRKr0RWhC}t7{3#{xVv~;t2t^|J&~u18wJfu1PgD
zRZ`J!BUAA;08!6ws0ImJ;c=jPhD+U2^DuYOU&NgC{sG2n`ixt-`u)f?9c4w;_BG9D
z+SQsLP^qYPB%d>WlI?Id#7>+b`GFe4YI;#29b!Y9r=0VWYjN}kjuzKDZTbi@2Ge=G
zTBpFR*3ZSuS3O81zD3Khib*vsI5i~Qa-z{>bwkf)0g_%YNWZzAar9^hQmV+~$l}OD
z#Z1Lb2_+p-Hos_=Q8}MtkHQi~-@}Rwm!r<+cxJ6l&Ui?(7Y+VeXcuO;<+`$m&=1YX
z4?zUhL2pMs6fSONqykM)SiYzxk(RiS2ue~i0#Xo#$XJ8zOAXitU4457e>vn9YOza=
z-@9r#e<<CpP%BELY@dG!Wx)bN+E`ea$zmQu`e%stV+z`;>T1}B)x;Up!GIZ06NQL@
z>6x7V->ztzhP*alXVKGCjuW6ZnCw-9NgEkri`V=v>9Q{1&X3DZ!I`fHNoSp^!VBKg
zT?@JXi*QWuE{<&FOQ2SF8F5oR<ySM@jQwGX#sbG@`zngdVVM9)dz7i?2TCwi-=CT5
z3z$WMZTHKepfd&AA+DWp7GD{ED5uyQ(}e{+cghr9O%2u(WI`E-Wi=~Ug4`HA^#Dyh
zQ|oV#Io10i)AKjH?Or!Et-WQ3f*F)Fa>&Ef`;t&JI4la{GGtS-ODtrAc=J2{=T$2U
zhfzeLEGoKe`L1wTFb6#D68rC4tV#D-F!LSmDMk#yEF*MlftV{AF4(vECar1~j{z(b
zVY1hg=SZ2Y>g9)AczGsMvsSfi8SdHrlbA41`f)$83VyKKH!}J`-mu$b&2~QPcoZel
z<j?h+cI*X&yfurxx_H%7HGgF`)x{;*3u@)kt)PsFTl-iPDLj_c8NFZ$gQX|U+R|~P
zWe<7fYWTY~2;r73uGJP8m(9Rmh;eDGS9EH5GIyzXa=NxZ>b(0t(!VFV(5^-3_Eww6
z>?J%qUc@|;Rti=RzS_K>eh+>PNpIY2L81yaxeOBc#dxLGcJrw{O*uZ?SuB$?b_vnc
z*s${{-CHq?>Db{~G-w^?bb!!lRwq_A(p@A<T;E&dF{d9t;UP2wv~vsPJB}3>I6Zc<
zJV7fd#AeQW@=p3CyW8;5P~biIiTjmpx9}N#=lJQ!zrUyLKWXDyR}KEf@MUI<JGW)%
zmdI7;A@NqS8*|F*urX=WX#w0kX4n4Uvc72)5nisO>QK0b*)P|nMAiuB>|h^HhkPqf
zU_tAof;4$|1ngBjV}8-#yaLDO`P(MsMg5b0mvu?hDrU`<BPY4Vd`bKf6~OX|duH;c
z0sux_HnVPEUK?hkO*Bb0y-on7nPy+m(ywfQv5#hr*~J2tsa~?TY0MaB1gJS$VKz$l
zQJFGhsTbG_saF!08A{2w-68M^m*AAnFdHZlIk#d~P2(oy4I`H(1QU*-<ZcwbYaGLY
zfISRt8!o$3JphGv(1gBR-pgwH*Kf(hWTy+cc5a$KEpeLv1@-3ZoXkCi!Ypr_7k#_)
z@H_GmHMC}Fnp-i;jrJL?zcF7m+BviSnJ;Jh!0&rf%UrHxJ24bE)KR$=8<nM`$f8l<
zyaM7!Af)*9>E!W9<||fWnFYGy7N$Luh~V*CJ20|`rsX1I9j*{|_g1jk=g-?hweE`Z
zFH2m{T}y`B(FM_q7Kn@*3|U**Kkp0rTnrCuA-V-yy-`lMnF66Nm=z*muUboKC2#CU
zQXIDeucAg$Ux7}cg{bXCv9o4sBn9=9MZ4gZxvLh3lLYM$NPZxZB(r8r7%&5Y7a|5d
zB#uAW7oZ`IVK_GWR5F|&+6p;D0P*M4lH|a4I*q3r9!D(`=5VK88I6k}nVi;;Z5S$U
zq~hI+#7Q#*Tq}no(*p)HQQH?x?59Zxd6zQ*Eb-IZ$|_SBBsDNkI6g}t<Mv-NjE)Vi
zIHd|r=N<^Hbx*^Q0ShZz8bP@o9LevO66tQBM+g1*yVc)e7M;X_U+iunmo6XHKvJak
zo!0q2hI-a^f>Uc9QT72mXn>hQ^4IFj2DpQBi1=SqyUHr5+U_HVw}jP1^?O=XW8+n9
znvfITIh&Uc>@9(^<-|PELIx&`EE&Ki1}-SS|L|b*Asq+neR^|&I0Eh~&UwLdHOs}+
zfmHmzLvtS+hZR)t%d1i*`Kx+M8S2hd=}41NN5bmNWS2nlVEOji1wX*7c7d>&Ng?gT
zuF;I(WM_RIV!8ETv1vH;R#Pa<lq}~nHNzn1jCC#6<(O$gJHy|5X{p!L=?JDh52^3G
z)5_#QP-t`-s)fU$V=8hIIT(oRXE-}89`o#>R4YEchwLaqmOfpUKK3m$NJvEIzZSr_
zZUuJYl#f%rth+*?<hdi^^Xt~n(KwGHQdZDVsgP3EQ`lWOoszP{^XMPxQ6{60ZiS;k
z51ZX^$rh4OGk`B+_jD~?m6AdFc*;PbUav0$;VVIKR?wuC{DCs%7Pj@MjxbN7(;_|w
zg9aZ4t!kN!CY^!B(#zWZq}yyK>o1*8T+W+hS%Ts4t%h)&RC7=h=83v>o>V`sT)@W6
z^IQkYORm4H*&Xr0cUnQxq8}ioD)#i4K`H(8X3hVhi7n)O6W$Kcq8bhcxY2cc-aLk(
zX6VUE@pRO<FO{e_r)=Dwq_e7Z@9loEFWMGETS`3N4Nv2;|GB#>r8S*wTBVNeOQY6*
zD!Fi#S@$MV`P?Le2X0S))z~Yn%OX-ci{m;#@qbXea4~GpSky$$V?Bf*Nf5q1&4);5
z&DF}xNST<F{@p2$Q_eJ-NHH-~o)0A&>-sxUn5dd^FaJfZW&sQOwPPzZL+|Gsg9?cY
zktHE&)T==pxK#1kQ`=zbx-eHPNNvUP2_4|!nNCm4g(xvG|M2J_@ZkJl?qKMkwt(Y=
z0zXpLZvIF`zsb4OIsZYE(z3~*JdyYQ)_bC<7dpR)ILq+w_$}$%{jwjW7~~nykT4uX
z8a<d6WCSW4NQWkSM8$RKm%ZpwHx&yS8u>ju^w)3}T8-*7XJ2ppVCR$3qb4l5jlvkm
zY=}|q-eWW+a#pN!W+hI?pu>^k(V^ql;jaL(sq+b9yM*&u{HS_x?PKf&vxlw0?%j{#
zyBvtkgky19dNOdP8?VwRfN;jLUVX@3!$^R^xB<xEvzq036gpPKA+bTNTOXDLKDQti
zTZ#qUL$yZPPmK{GOc=oq5B~tfO6-e=WR6aq(GwUB92WmtI38FkemU~E>0M+T*y4WN
zn4khRxk!xER32n#OlS{(Uqzt)a1?e@4$jPN4s||DoEfw*lr@ue*cEiFgZ4St^W$Dt
zB2M>w%2lza&BT2+Qq9D9HtJ%HMC;5*m-N=pv$)K=lwT-s2i>Sf(+5T}2S&+20pVcH
zZC^@LFNFuS<qFdM*!V%hV7Pk?n9?f4)i;$E9c`QB0z+Zt47C$W=GMOgq%$C<*V1Tz
z9hIu42d!24uCr0}cpeG`fubk1)2OHU_|dI7>pK{I3hC$lX|i;2F!+?UcLW;T9|e*U
z<I!gJR%*gx#cakHr6*!JA}=4-$r1(!kUPOgBn|ysw6|r;UZ5~zDP1fK_e@ijyd^GI
zFlyGNTDef^rG!Y14MB~%CHkWHBH_IY#(TTl@a`VIfN9mPGUB>)Y!_-?Csw24iKi8y
zCETr%k^C}O>eJex#Rmn|Am_z!R5zpvYw@^t(vx$pLyu`a83i}$HEG`dv++@x;oOhB
zttn)X{GK`!a25-C4;2xeJ<UmWH?w5bJHpU=8%1ob&)+WVg2F;`x$W}olcf!nx;~JV
zgCVZNyBtq7o@_l@M?L=N(YfVjY|1LLB*6kNCc&EcW3*6GAlI*`A)}!oXfBzLeD^{7
zHmL}$kH3Wzh*}HkcYzfy*I4^B9~O_sU*f~2*jofdiS)VThpoupSClh4wA&sgOz~F6
z1uxTIPd@KLgclI<5u4bK4oy_Wg6<;<7T5a%xQN5qUJ6@Fuidu%pJ0#14lY=nt~4(z
zxgiVCVRUh0%>6DKg7O&QZ3gG6XO%5+NAm@laJ;sI-u><09Y<B37==_e?C*9Du6Blw
zrcFkIhe<=-Sn{BTZ0c{BuPwZ2K7NVm-BfYIgR9%%HBr@AiHU(B60X9EAJ+U1+jSB!
z&;KjC_#uccqg|sZ>%M^en*aqz3COb88aF2svQ5XCK(&IX9{PE)hR;Sv4jokog^Zs<
zO1i0r8altyDdJb{OO(h>Wt>QUe$&HcKey*R(8PqXC3nsGawYXxPC_@`*XBL!1wqSj
zv+fK3rT7u)Wxze<rTmdJE9qRlUQikU%Qv8FKFM)sbwX}E_DY~7xOLzO)G6o*^6>WH
zVQlN5|724gf#|yd`i~W^VK|soOg73=H;{u{*e{oO5jT>&ob0UHhe3p6i%<6_N>*NG
zV(R_Jl&+V_l#vi`!}Anb*01~Lgh@l$t5m1C&ad;w?ROK-uyH;;wCr8V%I6V8HWQH(
zbR1hnJ_ck!!m1myw}hAM?0PRiWN4dZm3E*iEH|^g|Bs`UBx2*rrpb_ml&NC|GX|x;
zeXFr={9%BGpkO-cL(68672QvyS_cRUY)a>>RHaOfQ_5Cn$I*?SOPFPGJ&=?4AojaZ
zh}u3u0mz?MPPRq`Vg9eVmyV=Teq`mV-vQ0O50+Y4Mjm30-RmbE9VPWTrz!TyZoaP>
zAL>@X>CyKP^1Hc{yS?J&9Czm?R#Xj_CF2jY4H=cm`s<2kNZcoz)U6Qa&L=*H_s%SF
z7JdQeJ@lBOZe%>?&TKcv7qolQ<($1M;;$kPuTYoX7TTAn=Smth2)6EdBmPvFe7hJF
zJDNM3%_c%+|3V<Lq&B~eUiZp%L^8E0$23Z#kw?N#QfaGVhg{98<B{Va0VO~u$20*(
z{)Ll-pB=gt5LqaSDPj#?xfuQ61qpvve>Np|23MqLI<qhuW*r&$=mn<32zW6C|5t|y
z;{lbIikf(};iLJBl&S0~oy(DAC5K>h?$B17=jKy)<WJ#t-CE`}O}y6EiZj|euM!uq
zP2Q#*Kf@fiBZhnMF5#cFt+IwtHeT;U&ANII4TLecR^Cykjdi$2HJem*fg+H#3u8Os
z18X~L1BJaXdcYgLEOMIu7kJLL4z{k_87mojh?i^-DdLfM+oR7LMAx3Ye@_~wWrFF}
z|5U9oh#v}G>`g*K(CZjGfXgSw--9Ws;}#H5lY8#kJadK0z|yMolL$l(i(ruskq8Kl
z;6Lm=1RDuUtqc|UQx_?e=c#r(C^PaUayFQ~+`5ma`_zf_-<?>BnGCGFC0n)Z%x6f7
zLp^OdA$)Fkvwbq33cq*ffT8y0a{CTa>I=}j)ggMg4T7h(n8CkCoy97OR&rQC$L15Z
z)Gl{!3vp?}8mXNcG*k4uH+CVc*mzhrj&X_6p6Zgt$VG<Xl}<gXzN&fv5T@ZoU1_w)
z+_g1|4-~t%mvt3IcS=q8?jKbxHNFU87WAw^Y_{3E>#aeOrE}1iB=S@=)*v{a`dNF-
zcQ6ofEkS|Q%5PR~a_KoC^%h3E`ufF>1+ERaEml)2XN>^<1W=$p74)&psb-?JauaBd
z!kr^60zkBOK$J68bz2G6ZbtxqCdw+H-pgwW_!2!Y-ku$v`OTb=xV#2PaP5oozuRWh
z{h(Dr?(0M=dr7G~0ro8Vi;H6q_K1JzET9~LwiVOjB~RoK9axBS(T}hjV;rOpJ}VMA
zo+)iS_p;BHs4S3?HjB^KUN4BT$Atk^UCt-05@9iQac4BGABL<ID1m%rZP)44IWHh7
zD0(R|Ma?=6gTMfvM-u5dOgOL3*0-CZ9JE?_l|{f})Il>KvlW&mXot6&=a83&`4Jtl
zm2U+YuD3kpj}eTZVb~HUkBm>mE69jq)=_jvYJ`^LCedYR<X`T+00dS(sy2m<-&>?S
zgk2OY!cREI-cCQ{ZPsvx#$4HAAf0$JBkt!qcju4i`v7wQ$npO1!owHl>-qb^-3UT7
zakRtgzqC-cDBU=%P@9rIq+X&%tZSk%fmbnHzqu2?;+~}rjBoS~;P%W4j*<2a5KsmU
zjPe`kzqa>yZp@F&cTsNWxUk*fKBT>9`&QGzfBmLb76LDJC@6Q#`sG(-Q6z#xRLR)@
zV6w<+;uoxFO03XqK47L!kuARMxgsP*R#7L6gY<~c=7)1$0KU58I(1KS;)?;G4(;31
zoAU~m(^Ee4Cy&Qd4Hq;}2sh)?=S4@-vQX-$D}V+U)rt`5T}R`gGE+dzmIUJG{l$#h
zaRHGBSFlhU5Dh(+cLNvNDZ~%A1n;|!P0Q_N053IeU{#eJJhdpnwOjlkSB3$3ui7Px
z<RRcktSAb|Ag*txNPEd6NL$6GF#<(XfJWn=iakBDh#Y+CZLb9h?ZKM-zOONuK464m
zhm6>d7_kG7*R@an$ghI!zeWQ3Q!i&4ik06kQKsGbC%93)f%RrujrsFe`4B*p`IA8*
zqXV5Dol&bZesuu92bv+&9lh%pq@o-A^(lis1UEx?QfqE1k{Zq*ZG+)pgIS`-sr~AN
zEPM`}4Cd&B))*{9(a=w8cjvTZ&y-q0PVA@-wfDCkYcsPC@s*1Jj!I*zxsrO$tK<zP
zPH_Za-V}@c5^QGbGNJ^CAP<3Dj6Vy`Xjd4m&u^fF_1pM^#m(n!c1H6W@vDy<v!i$L
z#6u#x$Xh|oV(6Yw))@ynzB}?2SDTTIHx!twz>ot^$Y#h?Z>8I1ll)uDEo4rr;N0dt
zu(?F*%ExrKi#(NaS*m8}mO+ge+v)HVfffWx$iJYvr#{!*DBqHAn$NePpEA#}4J(_P
zJgV(%hYFP$G4x2|pGoS(s9gNPAXY`<-%E0=e^bi^F}IT6V-@0BTDZ98SU9;pp`XOd
zH!1?WE{sWSr;7H$SFNyTzr*}&9L{syC34ShO>#5!CsP&4i%g9c;EQE(2m)SWpcp^(
z{;(=7f{*~?#KWfOT%DJuNMvP=r~=q`sss;E#M(+t(F3lm)i2IZb=<&4_Og383<La>
z^4Ha@<$gg3B$$T$*vUQB2CVMzSBO41?f)7Lw0AF9<8i}U(c|r_Ox2FSLt(|C;RZqo
z>pI}7pcb?)uqCoii+=Q-dG6I7)7mp*YoVlHuPO}J7L`!xR2<=S;-}mZIVyJ<0J?+g
zOBy2;?*8*!>$b~ra^2(-$*8HbIP;vVO+N`wbp;`M?<dG<f8nOQyD)M;@vO-S>Y6-*
zg|$ygGPh6*84%MWO6?r&VXLabumBN3s?JHkiiG@NM~aX<G0+5mnFAD;?Vm%X(I)FF
zm3fz;7Q?p95Qsz6`Eb<TOUq)L3Y7W@$!R_Hn`h0dz10Bdz#A9;SlCsOx4`G;hA(hA
zo|&o0Ok)w62Y2A={9B$WZ5z__3{jEpA?_ipUA2QKd+<7xu<r~}`^L4f@8Zqo=A}NX
z!<A_B58Mvmlr;+|{ZdYTH&p(9Z!Pd_S$UTEJ|p0-rBWK@cqO!s5epGR3c;^DjQIp{
zoGzQ?XAPb((@%{K9=N}@>6-Cc@uFU|t~4Qgf&AoYIxxKbaK*ul<zU&qvNgN_pX^uj
zqvE9Ds9`XF8+cI7dE^p4Z{K||1}l#KqR4DWDU2lO@p_61aCnu-pV@%LM1lf^UuFFs
zHB(ESxg5H(i;EssDxC_;r)eI;{;zzU8my<zj(UG**Vjjk9JIAthaiX0{j}lAfY&jp
z(p>DpF?=Y9Uq7JXbIHc+G-EM_A_UG8A-B3I>#2t|hYOnyRX`5w1Y3GW<^-x)k1p&M
zwX3g!tdWfDsTFGFPu%W92lo8`qMSs|lJzEQ>8khP<>@DM=GPL*S0L}n%<V4F!yCt7
z6Vy`9Lz?6>3cuXoC6JGDDk3g_Np~nDx5rJ#zB2b|1)XhQMowS2a=AyB#_Fv@YxV=`
zv!0EX22AU8yfDjm9My>NSyt``)R)Zp->0+P+gr`>&F&*3@wUP&Ir$c|rI&&pBD;f=
zoOJ^f>6|VJjG`m#1Mb4(yr;%*K7j8~x_*k&({c7P<CFg~8CKuu8~m}m5nLeVZrr#H
zzL!TRcH^CFm#PeIj#1@aJjC&p(5~j!!kNPa+!B`-5rIt3vydg;kv7w$E0b0|Phtn-
z$|moChY1;W>8pAo06)FQ8{g_>=qT%$g90(bRW{&HfTOe6Aquto(M^gljn>DONc%ei
za5bs}!?U=tK=LayY;)ObDEr`NElgENacd>F(JNk1W@q-RFl)AQ;P^4t{Zo%tNk%7Y
z>AI4V3D!BjWY#6GGUqVs0k3HLxNAz&cH{C@E@NEe<+QO=Wl^ieUt7lGGhl~G4U*6f
zQZ>IM4b?)0%lL8~SBBwa0l6@tx1Ust9Ptd2g?o+<8tT=Rr79<K6zejBqC3S>%J2du
zzyU7C(yFQu`!4Wj(<l6{h)~GpTSL1T(PU6!b=0?E!GpUT94E1-j(KYpfg9%00;1RJ
zSmz1zUdnf!=;&Rb=#j3R!`lNEgBkd|pGP**QW0s%!xjQvjzTuh1j8sO_RodIvk&lB
zDAG01tbRI`no=pMylocy)1S`Qug$ivqte#D&sfJC5sp1R!zG`x)B|>0zn@1pj>?mb
zzLF6QL0jru8#OfB+yM{kHog-u{q@)Txm@vygtx0HUbng--@`TUNEf&=t$R1YA-o1%
zoj8*dQs%Znez^^E*)jtM;QGY<hAG~YV9rY3=PuN9t;2FggAt@5U{xf-80bKzamb`P
z$@<%aDwmr&IhJ)2NrQo3e)2<)TIWe@WS^z3utG+SGTB8TYv6FE)Ewi7GfQPa3#O>#
zzUx3veZ`E_yJ6;-K#z?cYyGfVdQutbBmCE8;s72cAcPE2^n8H6L!7Tty32+XA5QuJ
zJD@aeqy;NGG5%fu<#)ZcrGJ+HWaIl`CGPVT<Ani#j=-h}>O^g|Ktym_gM4FJrU?p^
z+lA&s{ZV`=2AGiKrtej+gBP5_4q|=EU8AbI&SM<b4`1wJuBsG-cy0kI1(=`%^tnGb
z=(nv9YvH@KN&+2;TlO!BXh!e?6r?S0zz(&=GZJ<QKZWtk5GH!i<WdR|Dw^_sP>G;C
zzb#qf?}&!k7rJjns`BI4Ky`|A1~l5hf%^p&oeSCrmi(~VAL`UO*2TEhKK;XbuYexV
z>dH-YytxSkf_5IWXAGq=aWzc6=Nclv9nL!V+!N-KX?5Xoq7y?%Qh;So9Z@ILJ<G+o
z2S@4tj8*JcePDc#NzJZ0N2ksTcjDrJuqFBD%7OQOACEOa-;Ug?`6A?)*b8HN!%}zX
zh6on;V`2O_4O}nX%KFp!?yv+=h3j~~+op?fG;ePZEq;_z03Ybe5i?L;U(zu$J)qhM
zb*1eM^fQRbq91BsP(oRXbS_w6Pabq*q@a-|+O!mZzID#ZOb&~Gc9YM!nkk^gxX2e1
zxHUlgGk_^SNT9D*tyNO8a3KJHXh=?~?A;me{Z!~O$(XBtOr8p;&;g@=*z7zsu$(|k
z79_xMS7d_ej37*X=X{xqElf!{Ixt?tYj)tAtryLD-9oEGWtRxbgt*f$l}Syz;V&sc
zIE3M+@pxXXuW04ObU*LuiGt5va@Rb@*#7Xe_+cW{&R~7YOd?sJP`C~QmX6n!YChN1
zlfuN_>SSdU<F(qK@)w>()2Kx#lM*7B?#xg7*GVR4Sxgd+dSU}RPP3-{;LIW6cw_`9
zhm=S<h^FDjLCl;!n4nC)1U^_xvw%p4V7Fg#>(|G>^k;B4_aqV`>&e&i&!Ek%3}SCE
z!@*p6Uw<C^z3s?iJ1^p@wsW}K*;~(^HUDx08a3?vbo?I5crLWk&VAX0v9%b_jCv8p
zd~Rk57Xqg70P@?swASn|DQ?(66lh8ovADOb<zLRX-NDWX^D(5I7qjU;s0__YKUjz*
zKGx<vKiC^@xWOIy?vfjMLU*xja}3FBii63OvV)p43A7+kxj68@PK4^j4G3yK)U666
z0v1e2cd@vK<HUps<05Ggq5Vxz%9UFwRSDl0O7ct29LU*$Xz2k%*A_eDW*!xg_Z2|C
zF`?BBxKcg&VK*QW6U9zDev<UQUQ>=EjuZWEWo=ua5>^mNBk2St^_a<y*)c(5@A9AM
zxge#~xHjtHF>IDV^e%{jVZ3VZ(p69gSKyglkkHbAQZiItJ$HQaex$mu-!IRuOCj~M
zjY6<pKA*^VivViJH|_Zpu<`j7FFOS<?`xo+qZ#WbFwZnFe{mh5bb}lfI@3;lPw<ez
z+K-;HPjrc4owHUwyT0o8OxvffIy)^LuQpE*ynizrL_%|o^JaJ~xw-79?ojWW?T_^2
z(C>MKNGISg!Tn%EEs?j9GxWn5{KY9YY}tgn&`FTBtk_mIjCu^*maF>kO4XTHPISz`
z7&pt=ahcj4%`qbnjOhV&t=GZGhxq4Z$SZgeV&;ai?wk}q#A#n#-2`(2zdl?ad}Efe
z#nsg&D$*zH{Ao=tq)*NiZ=o`_x~6jPJKn0*kDF4Ik2UpL{}+1I{6RdSg+!tcy<(+c
zHlYWmHUYsbuZF~r<OqaG{7xdknzW=~leR(aq1YD#C<J!OR}c(`&B+aoXLW4|kl+Eh
zug32g0-}TUa36-&haLcJ6$&uyE9l`17*I?n*hmWB%K|RY%jfU?^wu)eb9g2YC|i$q
zHe*Avt$6;i-y^PP7<_Y40P6&`VPwhe^ZT%I5@+&C$I=>)G~5)fBiCJfZnQm|csc-T
z*Z)pzd~8f%w$;!ONhDA-9qQbr{a66mE5DGHDP+e-TK^zy&-9c2ec~xElO4eP;tZMv
ziTcFzD;u~wuv>zQHs=TF4#a8(C_8)cac2Y~fTSz`Tprdx;QH@72^SSuGUbddyRqQ9
z_z!)CQ2!t~x{(kg9|lWLq<P7CGVPi9lL{KrapiGmwUbh1ip6xTNBX6v_7InL42?$w
zEbNy$vW7`J&~Zr8;r81mw7Qmt(C{Fw+SKV$ZK8eFbO;O}W`c1@A)w!db5Op7lt7n2
zzo$2gjUJ2?<Pqy&M<4fu2)8(~<n_6u+s0bcb!gtayg3TqHa)7ERaKDPU8G0Tc78}5
zsT>A7J{{st(z7$F(m9am!W^+2W{=~H;q?C@I(9Wtlj&22xAq6a_m7qNZ5C+e4x()n
zPLPxbs(}HG1Kx?rfte?$u)QBG#2rAktg-~ZoGvMNc0;1myCk~0Y?#a;<PipGQ=Eo~
zz}ZZ1lHeKpG|m>>sbUqoUOR!3k9YY~`|Ar5l&E;O^^QH_mL6EvyIjHKi1F)Z$lrBU
zRy-4GUGuwP6?C<vMBb2(nk&EoIm@{#{YPLAK-2wpt}yM259>?_j5?RMFsEbxQtKVL
zx<}R?=%A)W+mOdgcerz~xKs8;=bj;h!-j0DXe)hF=iPhBImpHM@otbdk;R=Ag4H6U
z?y`PWwocV!x%RBZ`MphU-QXc|;bbj-ukk{PSWOjBaAbsq^RP$WD_pUzn7klFksaka
zFrKC-I{SycUDvZnDyu9z`<w8q^bmYPbq;CMbarh+%2OKnD=@%UCFZNuye4COdx64C
zisnRL+<vpqUao+!DduEa$L}+z`^fqp@TvT%?~~yJ;=M_gSm$fVj(ou47-K(eAJSr&
z84-ce+5tpemTed~Q)hZ}IIoVCIiqE;Td!&wVdBOi+b`wCVAon|mesNI5Oi<QBuJL@
z9Udg_mFbcLN|&YOr+Z;Rp-df!_L-Iuq_>V9pK0CBRWfcu+U;Slh5fzqQ|*k&z}C}Z
zc)7d7Y52vEbv1atudLS{s{5hvh~{~dk@ig2{w-=!myMvcy}QF&`DJ@r(`BEuVj@<9
zq}Jtehjj~0R&(7{XDJ4ZAmZvH>v;<>%PFJb%!Dm$5NJOe>jE(JmsI^2$<MXx#r=V}
zNWYxNShqE6oXw1l6%9uke0VlsNfbjL0}&!TZQ;V)oUV(L2ZuirZZ&{B363Lt6G}*I
zOspHaASa!P!j6(fF%?tcOF4KLcSg7!_72WX*@cV%q>_m-Ok+%-+4$~Tw-45V1lL$r
zIS)S*x_(7}!5%fsqM6ORdh@<3$Ta{6@lS5QDlx^jw8)@#%{gy*yJQ0GP!VjkaDO*a
z4hI_FUw$t)Z{YGC3mleB+q+RLa(hP}-Y*svnL(5Oj@*m+8WRe)J9<!vd@3;)fN6R3
z#Ox5&ApNL7g#HOZ*&t|g=nIm7m^cw#W`xNsxF$Cg6=@<?l+E~i6Z$COMfrvDF5`Cn
z4(wL+?(&_-srB&rjERVlN1AE;IY1U=QjM7mw^0Ya;ho>;R5>sRAR_|98|fqS1NqY&
zGkL;J!8Zm%Zbm)cjeEq(0G5vFj&4iyM{$oa(pJZVXibYpMye(R+MLJjjz)CH1GVVZ
zE5Y7jM4hedZ8j&wn%dvbJDZLKwrSJgwXBWV+np0r>elZ42_N-O_%&aHxKwmUaM|Py
zyo_t}zc<Y;gsdVu!?^IPs087IkUR~9Nd&Xbj2*~|n_iVXr-PPTpZ(0bwN79wk^|=n
z{a=oYcszHBIIRL4@k;w2cyk}rn>!y&%HCh@r_BlctqEVBXdUQ_EdLW1@eiHw?^Mcv
zpa}nHFaKL)3?Ag?j~^^E5cmH>(rk49k@P>}!hcE>|12pw8#uY!8UNere*q8z`i{mT
z-{b^7tuX)h>wgj{{x_%?wtsOX|D56fO2x4KOTziDRLsBD{rm6#KV9N~r(*v5<@|p|
zi1|nR`0qjt%eUY1Exdex{{Qd){r^Dw+q;3};rS;c|C1jW|CN*eJ!kw!$@rHx^gm)D
z{{>UhPFxRPr-SF)zC-cY;Gv49Np>Lsk&qyO>zrx8+fj3{FtgfcgL`>f<EW?6?AM9r
z#+;lDC5IiB9j?k!y7_Z{rkJiY?_w|2{K>N<o;6>1!LnAevXmhAsjXYCuQ(AQ8?&BR
zHC%O)L`<;-7N%78O#kJW@!e1I75&Ze^{;_N^3(QE>QGaANwIFo{Oh9=UNG-TdYicQ
zUHih|do!C?X>j!-b1C8XtR_S3C0V%Bceg$Wym*2NB=tqXZ80Y-O3s+&m+>s^7w_kb
zmv`^yDd%5*;IfSYMW5PHmTru^Z&I%~X|6`5>D$%>V8SI62RZ~fqY_5G*!Msf$0&1h
zph+_rWq&a}{0P5iAi9|pgfU_~u`a?dV04dc@UsB#=0lCjDMpRb{c91Glal!iYQ^kL
z49L5IYO#FhYQp55PBVY!647`sV7N)h+(To)c$aXY+auk+X3R{B`;>2t`>bv6ot8v>
zmyj9VQQfn-zRQg7ogRmM2A!JNK{En7$%%cQ)eO)jPud04Ha<^|vS=X-j|595+GfSx
z$7G`NhQuYkjl!bx4y$Y4^pETTj^j{xH>kadvznfhRy0m>&ZBb@#NL6lYxhFpka%6}
zz7w7g!#l(Fj^@aEwinFY;2#YW+yTLX{a$7pfn{S08|W3MW=kZ1Lrg<|wf3&K8%nY@
zF3nP}qM!BBC7EFmU%pY<9=6Z6a*sWVYl5zCk~|Z_ebrY_^7#aEq15`HBp<eaXqtb^
zfd94r{J)ia1Spjpj18O(&5WI-75_QzpE~t_F+Oa}_|y#FuoFGqcjjhiV$lBAb}M~T
zM|?)cf4={x;=@Y+FV^RODL&u({<Hbts#K?cCGyYm{|m&2?O(T;f1OiYNYU8o8>;$O
z(fX$Z{$~;Vuj<&pBR&lD-$K<thyF*Y{0|@O{|WJF?10cqTwG-Jp6;Axd1KTxiT{x{
z8Vd>p1fdTkf=+-nP!mWDK}P~k?<WBIn`AFIk0cMs#&=xPx?G@CG8CMj+6KH7(~=U@
zI--#pNW-wQ8cO(R)b;WYiEq~j?bX|#ZKJ7;w{uta@vBVFY<T=YwGp#EvHm^Fr9hHy
z8C-(EsspFPu_6@DssJpAI37Zw&m!}eM%ALu;%<>p@61^8$D<)(N$(Gw*=txg7>wme
z&dl-~n?P(4%(V^!Y0Y~a2Dr0g2*0&MRcalhFVZy0&@-0}ofZT6b%~~EU0KsT_S~d$
zELGSx&^n0Pu9#`B^y?;q#rOAIv@`8N-2|skGJ$NJ2G*n$&#unPwa>J$gf-X)nT>|M
zR(zQrUFS~vZ1{_W&$JKgwdjM-yBv2!f-|=uZ@&hm#F()YqlkNKd$Dd3#zGrHanKfS
zloRAt!k8h3oPpTWSR4LR{&b?lryLU>QkRZTYe%dt{i}HTIkgT^ZgbH#KNv#Im6U<#
zVcKMh(LyVbG=jm}jzBF6S^~zC<pYHih`n9FJS2mnclvXIi<b^mX(F~!#4Ve-scnLm
zc%P?2hb&ZfbF9_ww9)oXBdV7Sk2-;N!16hM%q)aa&aLL&&PRO8-iOzLG1rs%3*}z?
zlHL~!(P4tp<Ik<?Fsj|Bgb3lUqFr}egI3gWOmCP!u}XR`6r>wDK@B)3_9yx`?}BPy
zD7M8N8B~K^s$p^2qGh2H6k$?iv!i4@`}a^USO@g6vU(YhaZ0~)n8KgIPk6)bF-Q#w
za6Pl&4Pgl?z|XFBo$G7Qds{zvKTZfbpPPfuhj{Pm@tz)H+eZvR-duWd1zh&<zNiRT
zV>PcMsokddKJ;(fp`PYv>0te@*{}(WnZSvD6oQ`lkotsd_es-%b;v<Z()n*lL*+(G
z#~W8%k?;<c(}XndTA%#6HQeCvcdZPmzE;EfgT_*yF~ZRX8*|;nqyHXxknrcZ<Le?u
z<g@$8aHk&-;PdSDuKV(?n;x^$!k)Biu1GmHE+JVY)y2eOzDGQWCX23%jHAkSniogp
zP+uP`!ocXy(|qZ$Qh_S1Y!oJsPb5KP43j%`9xOx7sUS}uZ!3zr8!e1>Zgvd4TUB?J
zGml{bUmVosV*)+haSLWTG{I;Hm;&Kek_s1%22T<Z$m%4HlVhF8QI2?Mmn3w~o#K(N
zMsz0Ev|_U(!XBa&DC|9omm_5gl;9k%GT)M0lk<OCH?EfnlQM6J#^!fXw^nP^uViGc
zb3i+g0g=ybEktsW&trc!<WyHV$s^8UG+j(iE(qy&Ho!|Gyj(1mI#C+z6p(b!7|qJn
zCem58Q*D;1G8?I<4Wm+TsA)=|?u%flnS;Sv<J@%5>L(=5>R-ZzGf2VW6cv(?;JhPr
zs~<acg!7eQmy8Ky@sh5&iR+r~>Nb^kh>0)sk#<XRz1g7Kz47DdZPJIT_1UGf9nadN
zcL23<s>)Edv<VqOInn;jLQ!3nz;aDg4UK&>eJHvFgU#;hF8F(*xU7NTrL%~ArS&p=
zW(0xlbuS}GmkamQXcb14%I4@WZwMwX9?@~*Xu)Mjq6Sej@!ayHYBvA+T^MF1tk4VH
zWYHx$yyE;`m?VRACmKE{ps?O@ka%>Q<BuZ8EDve*DYmjk-#QA#=8T*HOYAl!L%9nc
z`SF+8@`~K6Bd8Ho>HfvBRGNQ6ymniz%V<&-2F!_MEN?aRVo?aEp);G8bKKex2ahB|
zr{jv~b4!g|UJK;gV?aHa%n`S0eS;jew5hXKlbvV@v=3oI#EozCJTc2lqzn!0q5ua5
z8%$0-SHN<YE8d2lx+29h!4PehLL6=tR7TEM3P~a9`fpQb3$zW%VI07k5f9+2*8FI-
zgTG&(Fp3zB>DrSuDFH@m>tee(;kH(c2fcdc*+~T&+d!SHwIycHdVq!}qF0VI4WlfI
zN#vApM6fokvBTD@V(?vMDq3kOU6;~?lRN>dLG17x#>=)~WJ6d0tH=e>s2CkmCeE~?
zwHcauIvB<{PHr_g7$&0aZCM)u;v^2Hor03Jg35X)rgD(r{L*K4>VB%O{gmS&*d(>*
z3NNkANYKc|+P+P1EDaFYm>`p;m|-O+AJ0Gda{)iWRrs&rQWd(>M7D0btSH|yeQ{F+
zP}Uq>tIe_;mr6UWkeJkYA>i@05`LR7$=4z`!eUSEwF_N<$zBPObKr5$2Hzlur3P+f
z&&J|%evs!qa-diZ(D4p3kZt!ij(hdXQ`LJ&w!IhcY;2_EbSCvWCQb#PTJ#lRj-jAX
zY*I{GOqGzCkeXj3(g}2qu;5pLN5Od9o)}adD*mKsnP8c48Gm{R6Ph{foK=BEfw~xD
zoC&_PXqiA8bSa`a=A2RiWPw8gLxDm8Vu4Mli*}(tebw1;2idtsZ$z#3xV!w!1Ch>w
zEA{?hYE@we`sU(9guJ$NM@z|>gihqS#lc``6>-PNnZ`uKuD0s6f!Z>m&VdW_HDPgi
zHrlFo${k@j<y1tjHk3QUiAGPvMAb_Nxa;B#;ezsbL}V4F4)jU-a73@RqdR?xB`ob+
zyU874WqCSUsdl{^!g=~=1m7~WPJxp&AgH@M9IdNr+->)w>>#Mv5|egAThTq&Rr$Ja
zQF#i=R2733Tf4BMX82XI;d(Be9-~q0F4jajW|WK)BSAj=d-A^2NQ#1)rCCiwO;ejB
z5m(<cniZ$B{AM1{v+?H7BNcbWyZp&%mipjA%9J^2D7|?vHFe+&6CRGc)im1a_em-D
z`3g}}Zq5knGVg}hRSTArSB&NPv}I<k=39;?2abvjkbG8VD~;B$xG3N4m7%2XsZQ8D
z46XJjqF`Ebk0}i)&HFLUS};|Te~eBFqwm{W)|Ob#agy)6st-+@!IN%=90)n!uf|!4
zsr-hD4=x}i7h{MI9Ec@D#2>68eSVXdgZdgR4vJxGyuQNGc&^cg>NcJ4>#n!h-PUNh
zZcj)3j4BJ-mj4zPDuT9?8?H5_pt{8yudDf?p5Upm?UPN`B>R`<VpY;}6Jg^dz~<-p
z3z(##EXdPk@66hc7S7X^=b3~Pn92|;>ohN_tIiipXi7FgYig_J6~!q4Qd^=wUTxbs
zuY8_cJs6;?&ZTm+*ISM4w2e)9R7Q5R$-kr5#^B9_S(<VL&e6D9DPU%tq`+kr+L*Xm
zbu(0o_en^u!uf@gf<?+UC6ueo=@niyc--3yNxey`5!30+s$bW4yw=w~`}HKYKY*v-
ze_9J|@BT2jgbD4Qjfo{!z#<6uzejm(i6QdWjk<hGIey3eJ-~tq@wB={Jn#u7fK3E$
zKP7r96ypixanVgQ5C!m@>3{6t3w=T+=<<ZP*>_YZLP8u6E!wMP>Y%y65tzI2K5@(8
zcbkN_5)Ag^z~TO~gCIy7hX}*JgB`r9ONNh+njRI=B?LQbMG1uNZ-O1Z`#+d_>!_%o
zFMe1>KtdYnQo47ST~d%PLApb_I|L+Ex?4iJySux)q@)of1f=U(6h5J!=lA`c^ZfI0
z4(Gl1zVFPu?!=v$J3DtBzU&v}Kl^^+ZyPSO2omD)wT%sNrbjXkE#f|+;6p5ySXRKm
zXg?QhB-7<m3E2A<5`+f4?-GJ=Qs=*S;a|+u{xwmpBqqeyq0#s4qnHmG&E%#!ro?2?
z+A~xnYto22Wg&K!?5b4iLBv^NB|0?w&$f8dgyk?urDp}lgzvEyYxxS01mpzk0QAcy
ziR=wL=N9b($S0(=(duADlSn$2k%C+BRG=3^aSYlYROiK%7ZbhIrtJpoQr{11&f*>l
z9_xI&>`>ZLbS>?GIKXvIuTh_V4cdVGsG?8ms8a~R?s+7irIJDu5yhNedu`fhP)-{e
zYhJuiD4};hsulO!4y*mlwity%gJ1dq=wrv=YX#TmB7W^HEZC1JV?HEm)Z^qI+8{D_
zZ{zVaps;F>&mo4uV;M@j!@Xu2vVZXg%ZKPS8NK&6k77!$_cUnIh!HeBrh3KJ<tas^
zD}3m3FBr-^!cqkyt<!~!<d2>*O>{0F?#Umnp=Qb-=5D^=@yR1vZ*(Hzu979zG*Iv{
z>@u(R42|NhFEsBntb32V<5PQY7S`OzxTV64^0L>}R=Dw8Y5vVbM+3KPQ|GKl>JfQR
zEFW<ow&>%U0y!~2Es~oZH^wS{NY=xoWb2-BW3VWrtP-Al0of1y5b_ZjlzTF7uIXw)
zHs51+t_J3e-U~vbTU0Q?n(&)J(o6Ur)QP|72~Cj+93w9mLkxwygEbHeFxGT&KBQ%=
zV5XgC<+hWP+67%N9p-+s%0M6vdnR>H>cy_bOXm|ZH6$L6&G5I4=jB-K8hu+lH0pHM
zK_}h5Qyt;1q&aYTLa<J$C?;kLou4;JXSz^E0t<G|SFnJ2#;8*^Thg@xTV&klNA5D4
zDEqN9%a#ikViED=5$0{2<<&{!@MXgf6d;KVI;K@7@BD$#t8}KF8{7|t7s;s~N-ljc
zq243<us2gV6KYg@{v{B0);vAzWDB4%{mC?E5IAnM2iW4+)w3XWZU3-7**OQR<nNz<
z##Z8_p+Ryr)`{BDf2kwn4`Xak9$w>;@b1F!1%kJaD%GO%Mi|ZG-MX`G9@oPGc^=n}
zli3shV))CNCZ3hUMtYDvfx!T7W5aQC<{}j{K}-P>g%V%#G{f<dr4p}yzl>pMd5emP
zSw)4io{x%qq^dE!M3jQR+<hs@`^MWu_F`GE%AaY&fsx8C+z}B#1ha8Vqjv(OV|<Y%
zq$u@eG77cljXtaUlDT99aGPQjr0ZRBk&ft*y{ih2wRMWzG^)@aIXIK<V-oV~Q7Dp=
zq7|pbf1zCT2yrH>VQ<-v(PF@pjRsq#bRq+glE1n9ENng-J1Ln@uyj+2BpS5=v;&Ai
zV4Yj;v~kRTg`(pU|K$;tT<g3cez<&nl@bG^P&Yy;GiIIFYG_AWVzirp0nW&5+fHM%
zjg(;>#c={nNDjuN)u;E%(am-!F;B!F8*byL$G#L>!N6{h!4O=%NV7do3_?hd$&(@@
z`=*$MNQ<=<Ip6t~Lcf}OelnAU+x-A(r-&yYjNqtsHG%@;`4);YBx>g+R`0oe_=@cP
zMB`^jI?B91V0-cv<R53T8_Pw?c{?;jr3#)dC^;Zm8aDc$Iv}xdT6nyqrMLFXP|oW1
z*x3ayiPS0axE2smHm_RF;tEuLatXNXGVQ~u6*S2*?1!A%rJ$ppD${d*bypejItMFy
z``3uYjYA@>rA-yd6k!R`O+$L*^AlM`%A>N-+zDTk!XY`x9-N|ohdb1-moNYaDZo?M
zYzH1a;f&jbi+TogIMZxgc+c1>)qI%ThWP*~q-|xt@T)YJ6|UQfej-|e1KSp{O4BOr
zEDh`_aV7D<2TeSZ7t_e``*efE@g*m3G;yE7cc15VeCmiZc-6iC<~+|5@DSY_fzC$8
z=~3rA^ma#GjS*Fw#bcPF2&LNdb5B5Xk3lgh&ufNbK7>j?_E|4q8)=#!ogWIwRukx}
zr5GdEd%^-Z?i;kp`AnTzv^jrIVakT7hczdGIH{54*d}6i6RK3D8?37z?`{FEu7WKB
zETjt0E!><s_3fAPE*2XbI0g);Ca&?$Ra{XWDLl*C*J@1UC@crYSdxo}MQULTy^*FP
zP*`HbhBQXSrlt4F_p@wBI}xf~zcalafL+al{*sr1R(5%rGVZ6Qq@f2-;KPfX*B+%d
z1R;Ivn{gq}Zmk-h^u;yy<LJ%xF6Mx6a$@-1XSZ8giB5FhA0!STt};=Z;ak?x_t2j5
z>DfeFMo&e^XwLN&ZbleSywIXR(Ih%r<KGHQL?&x>-+IP>#xva?L*X7PBo|UD>5m|?
zh{-$`R6G4{h^5MoIUSr8N^>HMC@Utrmcf<yG#tx<xs@1Yf=lPKMRH%5?C8$y=IqYw
zw+J5)SCu{ve=kviuaik#goF1o!>jg;ebpTi*qU+JKpF-b)HLRagktb}h(Vd26fW_*
z#n#t5LmkNs{CLanU7*3@IlpGGyq}Uy`;m+^yMcsN$sY>aoAMpDBkm$rcjn9?0k^fG
z)fo$wijG*;C8qC_cT0@-#l6p;J#{*<S29mr{Ad?nk*^SQGMcC@DwUzQCMxd5Z2=(!
zPudIFkG2Zu>#ZP$nwRs`pWy<D=!~Jih$q{*A9+l#mAYTM>DJ(Oz5Li)XzqHj@(P)=
z@cg3l+fJ6okBjY&%zTUdDvN_2<v6zEFYlJGb1s0ugR_r8H3H=i>E+&d=*q6$kKPdX
zT!C`|SB#;!#7T;VPxu*!4p%1#z4G_&e|0|tr`kQIz@4tM-KUpV=80jfaO@x#5+MrZ
zr%@5#_h*3lnfZf?5Y-m$OLx~aoOUwe<F!ZI<Z$=e*{EV=(3bX{b3V9+oH$HxRtDo=
z%^&3i5s>wt{IEZppg!x6Tn_!J=qBo1<a91?h)3s;=p^-0qlr6N7_;=Ta9UDXl6gYr
zUbiGB$LLsc`J)Z$`;pR-Q}XkYmr8~3>nK92t6DmqAzpLVi&a*`4_KXz2$jb*73djU
z7u)xq9}KGby^4JwJL31sI%Kcd6mMKNRE}(1tY0RMT>P7LnRUL<@-jv0PQ*H0TY*pJ
zNB2r5S8^*f5;Q#FI<1EdIoj#p$Gk@u_TOU2n-2Czn{QR^?;?|Zx!UOH@0jVJ>sX(v
zy&AogqutUBE?J)A*9&>%YIT7oy6M1*ZILD#jm!F_Pq-zh^xS}kq<G<ry)<#SUo{0H
zL}0}4sd$8FScWyoIS=RUKzW40#mC`|+KB5fnH{mI_<W)lYsT1yb)049`NFcFk!c6n
zP~BG5R0QY@8O%~ktYMN_A0;V2oO@wIis;iNd=BG7&ku=@+PSaP&71x*P5!lP5xS^U
zwHRrSyvs5ZdI(T!GfSRL+RhHfVI<4~s{v^Pje8}$2ZQ*GJ*aKwGO^i6L@?hsK?KDg
zSa42Wk?@UMjNZOPqc~I)2J`(0wE%NicRPB)M<rEGbOf2=tlU=G%|-T0s?UHiH4f2d
zyIWc{t=V!i$z@@YALEwIK76E)#tKDjVavOEs?atbs7V_kmR>EBI`)(XS;m+JX+_0e
zX}+?E@S)+@Q;%B8O+qORpjF1qX+3*vrOl7f^%nfE7aEG<MNg6?av$_(wM|SXe@4kh
z!fHoqt8LmLEkSG2KtX_G!RTDA%S1RnY5nT|gXjgeJX0RcN;3XCcRo2;Bx$)999mgR
z5<~(ds&Xb=>oG3ZCW%)z!GMPab0|d@UaE1APwPnp1F-4z6RsArti0wQDsb#?i7XEd
zS~Oy+E4sf47&LtE3}e0BuAYb3zp7Y!>8i!r$cMb$9Q*0mXNnzZVSe;2J)1+kw{YOn
zl20Nx%4;c<FV&MLFRRxz6&H&EU0*PV>^Vj4=-Z^>DHK#=15=_BjlE??2kF<7s%F!z
z374>y(gk3W@AcT#3MN6!W6@<?-`l+U(Z*{-T?eZ+Ub7cE+ou=o2$^y{_e+?Rw3tRx
zu2g@Ff8PCBuS0A3+oxID!L}&E=!_8CFxb!MA_~{*#o`|h_u=ZWV)^pP#B9{D8O4rj
zP^yD!Bx}e?m0hC=A4kEPypw32c>UJWMC!4=ymBtb5Vws&w|(-=TIIp{iA~F>zb<LX
z3)PY-DudK^edQ0e`lW;p#<1BG{g1}U`QB&0&&iK1Rk49puP%7%Y@KfsXX2eZGrsKf
z#jZz>igB=v?7&+JlI8@D$dE7CXc<$XkQzY8@bK+Lfkq*Yw`i$wPImotxN#~ZxCd66
z6}x5u4+V2`S*`SVqfwZ9G`Ri1DLg3X#bZau+_N*3jzbvpL5G6}i@j@lF-zbwQl2DX
z;CQ^%yXDyicOFn2S#EMZzorkd=H)TLar1&sd-SJG<B#k+tFf=<<4V^y>rVMucO7*O
z<R{IhXZ8*n(>%t$fAtadeue*ShghBm?`o^I(dwKi{_Qk^*6wm$Rd>oq?>K72d}>^I
zb1D+m<9ihgkslfB1oHi6nh24eMeSUH0IWQNOQAWR%yVI3r)l7t#ule|P=pT7`iMQ}
z)cCL>&%b(D8CK8I=Wk4lv+D0Qrl0J8;fJZ;jDGWy#O<gG`fb2h0qnl%buO%=UoIr@
zJw?tpl{jkBCTPnM)#vWT1}T`;QkI*%Ef2>JwsS7#M7U`53&au%ko&YBe<U@I`F+I!
zcTeP^N_eT0OG9D1Oz9IuVvic9Ec!g{0e7Lw993C7fwzMimNJ)2md}P|Yr8O$8@b)}
z)le=Hr)Go@#ae=fhGgT(PUZ0{m9sUZAFFAVEpUq;IYeFPvo?62EA9@b^ADs-ZpzWi
zi^+qWVCOCqch~qc_o*ek&^Q&FVs!#ldh@{(l(~Gmbomt~e#YfgjybG6-H=%WcHH%C
zOw*>$(cnJxq<Ty$u=!kLV|8VcNBL@f5%*pQ%Vspw+p2WXlM+m}AjbXRwDbc`QyH)g
z2X<TwA!BB%7jSuEFoyZky@(nIzwWvNyLh^n<;7Sy|BxfEC?kB5v|LLp=cI&aXle^@
zcB>XsyN49TI&$<3cj_42%aV;5LQcXgG%OaEAZy{kR0J2Y7&f(wZbs)42QN+<YBqd$
zPh=}2|JvcNG3Vjd1}e|vtN4;X*}Oc!>DjEUv|Dcjba)pgM~7ccC(v=)Yk*6SqFF~?
z4G_O>cZOr?z`H1aG52^7)@)(5NB^A<)_4{N)&{my{`WDqC0RSodw3-2Ua4!87P*Q~
z=i@~EEE>L~&|4-sVN^vgQ=oh;Qf@yZI17E2^#pCa0}1i|Oh@}ungwp`mMa+tlY`Du
zh?n^Qm+kS}#Ot;xajLbE=-}r+CT7K>)r;2-3#b~zou4@mi=Xp^=XIGtOuq$vd{c-l
zg>~=vhx<Jo3BL~wC&IPilBau0ftEenqchzKC7-q^yt_nGESGz+pT*u+uQKF&8y2C5
zTxDl&%~y(Jm~B%~I^3P%xc)ZUF{X5SDPKP-Da4h4|LX}?Ay9X`PSo*fh+VQQ2dQF)
z_$HBwlQ4OhXkCl#Q!jZ&*clQ@+>Xz|+&fgynNKS6JN8tGGmJ8|0``QL^Fo<jQE~1A
z6zZ;@nsW6S7zte){K!-Df8Gdzh#$b!v#{RV=J=|LZmH}}{p3f!gEzgrKKv_x#(n!R
z)8S#Y;bHW7Z6-VRtUQjK=TiCdxx{ffk4Sso%ftIiPkjg!ROqFf@b^T)*%w}#7t!L?
zl1sAQaTI{z6R)$oJUl0xIca^@kv$5pZgVU#SOQ<^%reeaL$RlPzL~ep?^^EodZ#Ku
zgd)b$$kfQ}o>C<u!I<~hr%j~IxJ?o{&xx)fddp>qnK$LSvEZX;CglgUZ1K*TrQ!H2
zA##|bnF!DG^<FZOJYYdvfh!Zm9o%lNZ|3I}N5kW_d|23)bJER=3na>@Of)bP#j%&e
ziBA%q9?##jk3<K3kbm!>m`_|FF_d8x5c4P@TjfP+mJ4d9UtdvgNX)7fjKot7YD}L!
zE%*?VQPTWrgLTygN|GU?hEr}@#Thg1f>k!RuZB!7mwn+t!NTtxbxk6(PpdXLy(o6L
zNd4p~<B}PX&mXKIXR*PvfA(~W_$Giw-6e+&=7LbETE{=1DSJISsMtqX{Q6McV*ZkZ
zXYQh-vvSrDx!y>lJa8cAh1`{lj@c#AGrrc{scF=xPRN|I%PzT+%5#_gae14NWyV!P
zZ_pFU!p;dpyk_Ja4j9Q;f@~jK0o<6^-Yv~dPO}S9nMkP4mhKNT6sNRuU20tlFUf=J
z^%KNA<82p`lL>KFyxbuf<!RCx85sbQ-0x#fvCqvCh=aGR1e*z46ws~ZrK9(Kk_Q8m
z-phMC^J?tL*YZK4X{)eT8FwEOHnA?5zgkdR7(|w8J4e~{wi<%-LaOhkt_eQ%)UjdI
zZplQ+qRe{qQ0Aqn+eU;ij@^!0<7=^#NN?4ej(in$42z8_t;4v%%cm8!r&oH>*stQH
z6)nGAj&iJbcCcVe61wdMvtG}(IZ^3p0w0t<U(2_H`Sk7HL>`PfJ<LG_E#W++-H0N<
ze@K+~Esb}1vFQ%h$L41RX-6p*lqWF{t=|jsimCCrx~M&i3wx<9%g~VBr>#Ygr@2tk
z6TU{U6StuHE&QT@UNJehouYl&?$I|Z2kt)qRM|@{V2|!JVxeRhU=?j|pS08`d^m;~
zL5&$sED$H)O<*H|x9gj)r}L>DEjSvfiA@3yJyjhJeN)CPyi{_D;Dkldx3=+njFXbl
zOHx02siZj7i3w(x?yoVGSX%fgn@ZLihog5*<%EDAozYzfr2G2R`6x{@j6Zs*UN&t~
zS%bxdcQ2ydMGaxkU5{jw^oRa3JZ#>(l``y;XFd<5NPN4~EF`-Ml_{<lQO`*nSNf?8
zCVSf(R0&4mdF<`6XMQN{X7U$#68{+3<==fl5#45OE!P$Kq8>HvJc-=<K{B7+$jf>1
z90d_<AQ)ye3p@NVdvYQg^#^bB;lhkphqySRtiAg&ySk3YJLEMN_d1)zV~?|(UUbgv
zv)eyfRb9o#9qm1KIF+r7&EJIo3KX2e`2sY`7f3gb#v#iPFApQv^^e01_YSoJ9$X=H
z*;0{##2eRy)8FWCe@VRbKjqX+=P{dMHktjryzkrg7H9C}Yq`Mlb>;XH#Z{QDQgfLZ
zy=oMSZB0O;61ffMwtT)h={lK}>37&%N_^CX+WH`6j%tnJZ3T6upl2?k0^RV4X4hJa
z3F-?hp!n<}0@}`qs31Ib6^wdR{cd<M;e&nvg@K<{Si?C(P*UMF=yaV;*#6`-PO|LU
z#8T-eUW0<tu5Ok*EOxs1@&Td&^UNG_{;k>T$zV&g37$Y+8c&+(as2u|r~1eeHMnYp
zu3>j`*eOchT0|m<yPF$7U(c4ca%g>vB>Tq~@DkZlhC%hSl9A&%E?^DAa?!Af6cyE2
zv!S$i+r~K>fhi)YD1a`l{Jc+Q2Ew03GtefC?;DmRX`!eXmZrCsJf1r>7e}r6kx8G)
z5T)X-^3ZRTn)#vsDu(-aMQKq!PPMAd9}G(JH11DCdP1ku^GEEB3T;I=Xg@_XMCL8U
zHn~p+NL(^aa)eFpqlr0M>+N{Iu|n^qMa)f;r!6PFH)$#dR^$s^4LZo0q&;B5%kW1c
zAfM2JQ`qk-LNd3sjGxu=^6ww-w;6tQU%D0f>1)O&EcYLKpbomzj`>gL&87F2m>s#1
zbzUWYYSVbmsXBi=_jaTUwEDpp?33k;w&#pC4CCJ)hW*-^$bToKc9l4WH;%;6v%G&=
zYfgVoYrEn|=}TooNkWB6{?*9Sa=!GO7f3ln1v&goqI4bsGUMo$D{Lt!-GHQ2M~by2
zDt0eQ9L7iAEnPj7>U~%qKkz}JC6NR9Nav1k=ZnaLlDSGLOKD2MvWU7upk7d=K5@?l
zM3yXO)<|+yJA#HdE+*zll9OiyB<pE)+HiE?G4_hhL9lhHu^q1_cTkG^8Sf?O4secS
z4$E;g-d8Zl$tI>18QJEXVsAW1YH`Yv(uRt^1zkl~4W+__`^0&s#ef*h4WWGH*Gjrv
zO96^aVS0Yqmb=g0=|8Ae-O6)OzFn9QA{z+X(_M*ij?q{?e>s$aGKL;`>9PeH)0Y%5
zCD7r>woaSQ?IBt~Glc8hD1?DI(ld?4Wlnq{-LSEZh-LMe%n#Q_u!)v}LHyy`XUpS<
z$1JQm<#{o~5yoo;Lj3o~jPxM>o6M0!M{4van(mngRVGBQu)bv}mmo^#5Ag-%!ekxy
zeZMC>A#Fdrq<MLU`~l@TyT$dD9|7?NHcLRAv^SnV*^hP}tsUEw^%z@-`RShIGF$?=
zmQ$f-az|+Q$`q*tqF9-*lO_knrzr9kF(0`C4E;(fepwW)*j{V}Ua8FQr!bcS8VRm^
zmS-P_VW&P8xrw9BJ>BIznA_29<HZZWrF~E6=P9R4%rHxs!M<o%MOg=Srlt?iF@)27
zq!%|l_XWr1AXCp!UfT9ad0OvmC1-V({>N_tIU4CTFgt|DqLl)(b$U2RdJJAOM2N^e
zcvwVjq-^gJxzMD-M3~!G#kIyajy5BZbM@_1N5`?ic<9W5jK?N#1%EKH?>tRH-vxb&
zv9StFYd_U+e#R5R!ef0&B0eK?RH*^DTKjQ1`RZ&Blj@0Ag7V1<@tLmnPE~2<*G7H%
zEC#OgY?jTl{y4^L*Hk({RIn`LK<o0?V%4s-skE%eEUE>87!6skW>)ioXI&3Z!mv>n
z#zQDa#D?TUJf3v-TNCs&B0ouCHbHsw!Scn?{+^V6wxPnS?KLgBg+*8Ov4__!^v2j4
zuQZ7@UqaqGCml~UYhaS)<16V2nDf8MM62rdHdb*tQmCQcL#l9IA8>}eU1#&S7wDNM
ztimr8uD!2rDj;ZVW^7}unj>JnpW+w+;X{&oG6L@yu~F?P=!orD?%3~W=1AmdObl<Y
zxUbwJ{)yRTNB|>d2bXisM)Y3NGdtDIps^jf>}ORBRnMk~BCNLs?Zw!*Gi*P9EY~sA
zDWedJA@*C#fCaw0GPDy4@D>GC7|)c~<Ifn+n9rE#kiV&j0?)v4`L=FjKHKx_)@#aP
z!k67{>@t$QfbppN(Dj@>z9}IUeG=6PE^0iyN0WY(P{`ILZFfOS*Utm|X7Q_##Q1wP
z^lpJvl74$6%O{Vs_@tBj*Lb-`ccam8U#y*C=XqsN?be)nMDuY95nT@lG`gORz1rL?
z)O>!}-+8Sww5qtWjkg!B-ce}*PIS*{XH}aSt2*OY4xTB<iE|eJn%&|!ua~rS@^xgK
z;b4>G;&Y<yC%wmbQN@Qx=f^L@(`%#h>MTZMDc<aTM6;e^?b3qC5YSB!zD|GAo&l67
z78RJll}bouZspTonM$d!Rt?V|r<@_|L5>;7dhM>_u9Q8V(v?y7Q5?p(-S4{Qd#j@N
zJqZFV2SIC($&>KCId99jz3-t+O?#Zn98(CD1ST6&#vn**Purv~57}-R0a7}87Ks}9
zCobI4S14W)8><r*`DL>;*ol*KZrZP_Pe-TF2B;M(3DRh@5T&Gy+}DQeox)tjvH7Z<
za9bVYWIXh;n@Zjr6ZNC0q(ZVIqRw8c(4OQFWslRc#Vi$N!|e6yK5TtxHCtgb#-RP4
z3-}R?W_wWO@{kH85Lwe76Y-wd@vi38f>mmwv+};BpMeBc!BjERoBnnoCD%gxYOC3k
z3%cd}VN(HZn={<0iwSW-eMTJl;R?ev07Si90~f)x+;|NGB5N3F<Pp5D$AJF!K6<e?
zRxzT{XF3wT_SfShEIXgX#mbFg!fbQlIl|CFkqTAw^3M5HkC+mSOy5b5%<o1GsM2d6
zYBPwmMLf`bY5K@U*;-9nu{yVdqIyE{#N;yK<b97*%Jk&hla!%qy=3kBlXKF^^IZjB
zIFVRjk&5k6SGC=<MV-?1y^Z_UuS|`yk$D6Mx+NII1P3fl?M&Y=i^;(k0=+rvyJQ!W
zw-dG#>J#`A!ii%XxSsaV4S7<1)MF@%Qo$P>jiChS7p{Hx;!u<7509eO&N6N+pVq@{
z2?8;``_bu8xA?9|zK#t~vaKQeb4Do`ZIjHC3yH?_`P<Wl^B$7<gBHwh=Go5Q3*A_*
z5L?{`Tm$Rf&KHVFE;iFypYT-RmNddVSndgfNR=#@&U7&phdO7_M5qwtGbnhKc1kUo
zQom8#q%H-d`^m?+N22@2K?o8ZM9G6iW(g3!4~W^@!Ih_|v=d-<i%BuVK06R;a;MX-
z5j(WniAT<&VNA^^CD;9-oqEuHdA^v88mQScX!Je0!)4#M6#PBCm}R(6wc&xmy3vnq
zP<NvCHG1DYFhvNTW5bxe?dNIPii{zYDY&xM`hJP*85m~|-!KuCrll-|F7SKr{Z>x*
z^4iLp%G%=^)au|G?02{&2=%bjTgEohD!J~}PYnwusM!;;GG}F%jrPl&utda584Wu-
zw*_BKFKIXFz(y3ol2xuDI8pCaJvre+NsKXd$DH<W+|xj56HHORbo?F|f&qTB<Ua4u
zk$Wt%`=UlU-e<@sMBg^^p!!O|rbGP^V`#b}i&`<PjH`XEIpE4lTweVGwb1!<!$Jo<
z@^UzxhOw(5``1aHi_&23{Ee!L<Kl8APp^8bN$Ad(sEfEKN|Q?Aho53Q;a9M9y<B<Z
z3k2-XI+7j+J(sk`K;z9K!sPlM7fh~Eu7l@!L)|*X0o{<`Pi&bfwW~2s^X%*2KKdk~
zJ6ch4Hv<lQxzM}wUY%_&_odwr@)v|<+&!J4cG6ke?i**#F6yY_hz^pd>p$>V!zVuL
zZ2OWI0&72i)LFF6xk5bFZ=@@3Y8YNRF4|1<StO<xOf9&`@QS895_Lp84I^^B9^H|2
zQf@7tQ;5DdT`?(KVG~|q`60(7(t&JrdVz$VQ;xP(P0Slw_jrzRK9<ifCpjiFAC$_j
z^IeO2U1cz#f=gc;HuuM{Pjy}-PqD@`xZ8Z?39mO-<6KQ3Cip-l>tcX(v9v{pO;Jm-
zJInK-LJ5<#_gt-`<#Fc-W^``}V60}%<6D$X&=+qW2V|FmvngD8FEu<R(UACcDNhhh
zr(T#?O|=ZV2PX6<4|IrKaPVB`E_d5ZpJL~ziD~PFe%C!?e;~Ghwf&7ZNiCsIRvzWi
zU?ZSf8zdr#su9)nRM}K66<9u#SCXPK9K=o(-~6^67!c$7TI}kyJ?{E*d$H9j)+3d3
zYg6lj(w5I_Tb4&`dRI{_+OCG-_s9%kiOZIV<@Lg3C}(=wFfOp49xB0&6PHKNsBX)I
zsx^mZ*9Uf)h1EY+d1S&%MM&$A5GYt9m^wD{?ieV0YK&IeEnt#i7SSSS>S^~ZIgZ6H
zRiFsfei+`GIMaVic;`dntIR;8#Oy)aM#rw;1D}m>Di=%86^<}6Q^_;ZjraT>w)SCr
zHp`x(LRYmRkHdRkKV7N+rlXl)*HdrcahRw_AKKUA^6H96taWEf&}JAWn4|X-cz`lf
zASyjiBH2dvg~Ekcc8gM}2)Zr%HpP9Gj4{vef?b~e-qm94g;fzFuf?PhDQH@}(jRqF
zQmDVzH-r&-#xc#y^iUa{pAFP&<Uu;9C|>^Zup~QMLwxhaN%%S4>6+Lm?7OE?ni%zG
zFBHt`jRuB3kh$}kP_{_>Vd077)xSNOcq@tf#r-0>^GPG@aX-t|wE4xv3C%3>DoJl?
zqLNXauCp1g1>{BlKpO)^>7v$0B%9ZqlNd~+sH-xkdMOwr0RiQ<Cl#mmCp9k58;)Hv
zoiknVtL7B2U{U#S=F*=p9B>d@*3_+W<Y#YS2g{ekno{oM6%&<bLoQn)o!ZmqU!|RQ
z!yt-lLBo>J=^RW&ZsFT=&a@;5#Q8EV$QENi$&~qQ&Z@KPy(PR&wf$wfoUl1acw44c
zFPHh5H@z?e6$A83M1<mFGUi(SPuTSC??_hEd=@>fG*?+Eu#-&~iTcK9t+?RDHw*Fa
z+<7_zQ!==gMvSxGzO*C_k3u|z>Fgom5V+?d656#d1mVKqu@7*Q9zZjQHxLe|kk}?%
zG{@FKzi>jTJMp|$+h?>JUf4Qkbgjy9)mvq%P%H=|z+@ddJXohP7Z^3Y-zv3{h|!oa
z+$Oc+n;8gC4Z|}z0wAz)ubE$@oH*nd4kmeFE<!l=7X98@l1v|aqQtRuvn>Cb{HuTo
zH9amVtK%i~XI}EyQIIzC^XHR-1y_SB!RgLpg1N3q{-$C58HQhBE?8}ciT$J0a(IX^
zW4>O8zvb1?aN0tTbf>(Zuh-P`DT&=gns?i>As7*H4r?Z0@gZXvnJK(}V`vwvm>REg
ze#R1d6>l4Bm&B6|%4FvU_=BRHX)gX1227sjbcPCF6?kQn1K;t<QiDSsAE#J<?&B$t
zR+Wz#l8?2+&dL>F+DgIsq9|z<PN1Ovao2)23#s+P1=qn3@+Gd!=qjXDh7kON!1o==
z&dY0+++NM6A(#FB+-JN`g=xjr#5C917~oYlC{JMpqH}ddy;P;m*xW580_A_~nfh%k
zcYiQy>FnjLOD9`-M~H}ZSgD{-rUy~!pohTcnDEiyFQt{N((PQ#yy0!EDpceN$+mEE
zzMm}g*`?!BXgzMoNbM3Xz`I71V0n?>Nm-lqxrFBXHgpayE31|S(><p$JN&095o&Y~
zE#1*MBSej3DxRd3`vlgUV-6zWlE0)K%*XN9Lf06LfOzsf_72R_wNWNGdxZGxWlC(6
zv%g@Tx38RRM0;HWrVqZrH;EV!CQQN(!1{{^cF_`14SR8zxqd6g#TSYsA@TMjnylfx
zsgWZk<Ldg3`8Ec8132U8crkyogpM_>QEnDH_TfIY^)whNW%XDF!_-VODXrXc@XWNS
z%utjGUCCq9oQKaXI-Sk9$!I@zM{!9v6tZOtTh1<b?(d)ZIo3Gsp339A7+QdTR62f+
z8Q7<4-?$eb{dlm6QU}{qrT-{V{Rr*SXh}08Uz^A<w?y>Kmc1Eu7Dq^)lu;I73?s~I
zW+;Arrz^c*<9klJu|7*FO}Ji0XxYe9sxnRwHX9Y`Aw+K$6eGMAM35K=AEW{#&vkj{
z66+G<lCRF#_0Vfw#SD)>Ee}yMzwq<qTDbGhf&WJ?l;8((*dI5eGW3;a*XQAQeWnRI
z@%*Uzt*x8)-K$?4!F@gf2&{@SM~8>Me25Z%&?VDnC;nm0CgX`&;%tdkN9v@h(ev_k
zo^MP8E_GWyQHzl#(-mqa&gYBYWNW+yCm9m#W%bIoB9A)1B<}SsSeZP*Vu)8_X}Ab9
zdllbQtn%)lzfBbdNhjJiYesHbvhpc1O<QtIE+mH`hs#4U^<V>7^MvAkLHM|xK!pf7
zJX6J#Po%tviYEo$$lA^%bVq+wqQsMg>ca}}+)b)7)%Zapyee@n;%gGYLHe=%x*MyE
z?whh>H_FGtJknI}Lw9Gvkfi2~RYO#xYO~zHX$SgX5PsoD^Q8V~@{T!hOQc_9KK~%~
zx{jvqLVLK-I!cxHO5EVe*ubeA4w5M$i&ss0VU;{d{eVQRt#r&I61+6oKjghj*rxD$
zD&p*N16A$<VYXvEQNupbPG`b|6NL+}I@vhXnbL~VBxP@hW|=Pa4HrSeRLU!t#o)K|
zjKmJD%c6T;o%`!7GVh4aELnwnAq^uTG-uQkzGkamo8R|{k?(0V!@BOVu6@InsaD5k
z8bOobD6E)WQ>FUy+F&1}-RgcFW;@qgc6#S8%&4($AC)FY`6myDU@qFj+YZXYo>_@y
zB(Ky(_vyOOK_p=oHYnr}{nlgHaWDo=&BMv5$<uWijmQ}UGI+0YKE}DXt1qu~m_KN|
z_lej*tpDCg2rYdVU<1*~DL~l%rD&+==7R(!(~K+(@8>ZbgW+<+?)K=gOLl~N*0QGR
z8F}*5Zi*i|mM_w)o<9`gM<{amL?hzcN_auMLnOk~C%#tF!@evs7BJvYMb%|v71sRN
zP*V;DG&_#^okig!cer8hD~?fKHjiIZJ)M61)dDrOZ(N`S#%}TPYiFQ;WStRx8tT)=
z99_OXJ~3UDv<K3sEnQ7<h=6G3lP3!I#bB*shqG<E-?Vr3u~N1ZuvxTN1h{z^)621L
zT};M31(rYA(Jd@mUApWIEw&Arp+OB4?58&t)Txv?RFJ=)f_8Pa>V46$r_DXw^lU<8
zE3%ZS2$;6|=8GAZ-SJ%AICyH)ba>NWM?t1V_X+HRiJDtrj1^e0ZHh&OcLg!>yQj1)
zUs(PQwm7p|#3_)iAJXwU_u4aGvq~0^YMKEp#wRO1+_#wCn{`r~5=JEIuy0j8F&tk)
zkPbA(O^v4@uFUgjIM$W0bIl!3?c4KNoOOh)FRJ`k_q{lAwCUL4*9PD}56HQZOi0U+
zNu-Ug;Itb;+O)fTebW2Vi8Ig_EFLEaJ<E9-q2&(KPm4xkSc3PCt8ijZj@T6Yy*2W>
z)W@7>^=AZYUvkEC6%O2WK49M)>8ymU)xx?G!CZvXc|O}@upqC4qE6Wuv@DB3Agv2i
z9sdzYKPvqtocD%7sfVHi`MXDw=F;)x-Ou%_3Qj~4MND|l7c<SDFAR2QqN>|}Ux;&q
ztV|jZxJg_9iq}p?YO|5hI*00Zc^oxN>ta;eMaZ12XKOPBxW2f?z+pxh^*HOrJT3M(
zjPg)G%LF!|9_}HjhP|YxAzYtO)<Sf{`#Sy}-p%OZ^T*O3Z1w*7%^{!de7_KA;uca~
z`3Cp!sq;u*J+>Bsb9^?TfCX0qTJA^gY13v%!wAu3{}=`kkdJV88+twF#vR;iRH{;6
zZ6s)fZPe%N?>=1iI*53@*Dk{*gl~JIX+Nn>Eg*AAeW#TEi}760_nz3b;}Bj(j;U(3
z5mP_#LODkr-!Rs<_EbM<)05reCG8#gW1?@IeQuWKsBMSO3?t<)y<kqH4@s_Cnl|B!
z9=JWM|Hv$pR`f#ZKGHMnlUAjY+$YyR%D-9E%(FRNGE6?d7+K16DpdROur=1)*a>3Q
zsf}Cl@wq`+0f@5IRr1?HkllBm;t!)7sn|PBfSCbvox#+VY4l`u{9fhm2|!PtfU?D5
z!Pw-694cGgH&$3uEC>4UV(zdb7b-bK3@votnu}^Zm>{R+3}NzFt%8e-1`++_1PaZn
z=7hok4XeS{*8p=#g_T;JR533G62~u$MW%(dNkREegsO+yCGyKU$#HdYbz|R#WG6W3
zS!v=<YVrF@T#10198Pu>2mPnKCbsNUJ^99qQ}3KlTOJ>!>}_KWqoi6UQR-|vb24U8
znSE<*sc0w@J|u6I(QJ>hdD%pShmTDf>48m;9NMU$pam0`KARj-gpr`nOMyPZH<~k~
z)&rXCVi7o&rh5^N-PJThhryD}^dYK`Y6wm#hBB|nejX9NW8H;`KU$TpNX1kENgiBZ
zRTVU2h(5-N%Y%~^6vyP|>G3I8c9-=@V^9aj4+9;1XF)gpi@7S5`8P)vrj|<;rG;9F
zsKql`ihaELeKxLRc3dlI&V8uy1bZaN;KQpKKs%C~;G<f^`g=l*zIw?#UC+C$TjUf5
zs09~Th_X=KOYkE4?jdY@;;nGL(;jt|o`1{{jXWR2j0#e}lHGK{vgkNK4Dj6I5o~av
zt!7^<sm>9>b}E%Dp4wi~H^e7#%?#EEkr>MVK}{bc7xFX=aYW$i#p9>pc`vk*SeQc;
z(a`W<C8<i;v3eVo=ax?CpT>~RM?1Vf$L5M`>eqaYEC4Tq(Dn|VF8=b2<Qn!pPtCXK
zce%%kn#ZGawIp@RKpnCRGl;I1_kAJA00&6stmX{0R`WyxFKBe+ifPqgB}+*ZAHg_}
zJtXEC1|NA5idXr2kG)Bo?eZg{BlEYxmoDc<wK-1i-tK)ApHdSnp3^?oUz<O;T9AFe
z@jCcYqqakxTd#C|{>A=bq=K~;$3dmDdTH(T!PHY%;%Xn?@oh6B&XJl?+(`bWvAP!;
zlElFWEC9m+jz~dyo``dki<!%}m);k`mtW50`(e3;SibXh8AXddOAd8BPCG5#L8#u*
zi@Q8d$$Kg09JxT3@HOX0EHttk4^AFX({P2ivhbvK>roTRL>vOYgH#=%6XPUW$3D3s
z4{9?yyV1m8ruM$HCgPjq=EqH+g#7mquJS{J@ZWM@jyVw1@?2tN;O){oel=h^yjTh9
z*|M6vaB%4iR-qh$XXN^%IWQ=$QEItIRak#==p)F^G}l;M8hcN!8|WgP-SJs0__N2d
zRG`6iF$&PPF{9-@Q$1hw+l{QohCL)@FWTj5r0doB>jycrPkR3=3c<~_(m$?o|GYN;
zzprthUz5PO-n+-!g1Gx%S>Iec{jUqUH+NJ2XMlr0F6#c@L^oiAmMC+R{eMI^_^H!x
z(G6~Rcgp`Cq8t1R%l}V88~nWf{Cj8v=*3^CMj!|)DTo>H^9cd5k%HM+Nx|$lPj*r;
zkcAWs0+T`jAW{emly^h_$3F{H_9maZcPy+B=w~n~m<9TT{)5=qNLkoHzutqOH2V!7
zOv=K{LJDC8LDNFZf`+)bkp)8UF0(R2X$Uku7@8+Dgp>`$Ov=IvEgOpS2K5ae$j<V!
zOcr*i95kPwW#7m{uVVvQ*+|*Iz@K_SpjaTFU$U$$P&qKPY*uI<P(4^~$^`$)4+8#`
z$DJNO>*c0ypmKMg@AUimWCj1NGqhY*01z7V;J2^`H(l(m%lvi0`e(oU-{VC+VlHT!
z8O?Lo5mD2eNr9{alW7DoJ0+)0&`oX{{*iBTs2GN)W%CT{-kT_60tEZu=LzwHpqCXh
zZqskJbxU@2G)b0pCCw%S_NKpdaK!3xRnE~?W*B`FrFEH%HdfL*SZuxIXzy*{JnTRp
zpM?{|55N3)T`jph$K_&rrgQN+)<I>WF;IeVX2&$a75W<#<E>`6S8d{3l%<j;#U>+P
zOpnv?8x*1qOCr`Czx45L+qxwLU;CdplB5)it~+F%Q)+nU1nG=_THdsK&ZBy8=IB}>
zesq1rzc95YcU{mSd}8EUA-cL7;gUI<w^k1BNyV27jR?*HW~T_i9uaQBMy5ij1r@R$
z*a<kwNl0#kMcEyFvv9@`1a%vP_8Pc^VIwH0oY|eB;k!>rdlqe`-!qL-@5xi2h}EMu
z$S5x$S;J`-QJ=KHQE+cJEA~)1d%P|F9=THX9d>8BWu4t%kxr}VJ9f`gxEv$-XY=Om
zNh0Hq?2-7hZL}9C>5(bkm}xy4>+<tBV+VwcW((<BF-M@W0|=#=*|w!q`Pj$bGqdek
z)uKTC)F=&N>us6!o`Y)&$_u6Y2%4lLxr0>{sQezFLhkon{vPqfaD(*@hj`rexJif1
zY&+Bbyohj_BDgEl%Qk`04-yl)wD*jnA?jAjUQ2n*i6>uI9wd%a24eT4UPB~^M>`+9
zw$k8R{c)c5)l(|iB2d?`x(xRV2jp|kA#j9g*%YrgSXuc?hZS+S5pCva)ys|w|KL6D
zAFbB3E>{nzs!eA8%i8`OspiH2{%y_vkKqtR=>+tQwG`}Rwajf8_$*9yZ_@rFBm#gL
zI*u7w0ANx8J9Kma0IV$kr>F=(_M7y#Q4wy0|F*@@un5p>Zs`9HVG-DG%-c@`&wm>h
zf&FLDntz2w_$l=FymJ>80R#lH-4y@VpuMTEpLzYSs0eckCbn|p*z@bI>wQhS3Ekw(
zjxQ-c5Xe2?yT>4{o3e<PbD!ohHU4W{npn8|BtF@^>9k_#!y@pTFf=lO%<1_880d%$
zq;P_m&NAW*hu91<uyrHhJ8#=pb4(5m6el;I+cel5&3|!?uh-up#1I$@heOY@p9n<K
zp<*577tlrv1+cU4#@5iJc9XY!>N9Rws}by8Mg@ffC5!8v2Db2g3n^t#=L=UI=Lr=~
z&N;2&2ODfQpUe}QQsV5Ix$b`3H0Vc*T+zR-R2nFZvpV2XeBY158>MrwHkhEe7sKW)
zV(oeyt~;s!vVr1K`XD102FI1x)7~%z=bJ_2QQYCm#c14v?dJxdNeH5M)7OGgSb^r0
z@PkHrq_V_exAQ7pPKxcoJ*+_&=N3`9LPP-`?~Ru9u|#u9COoXPDk5bUZLB?7K^bIp
zQR7rp_WnmI!cP!m^rXVdkEZD<WpQQ<fHuBrw3G)bRFmP&M>A}6nV9^Bl<I?=vIRJ1
zWr0B@#~8(Gf%2oK6|%`h-#$!J1Z6LFSmuP<S$~*)8r{XvSH(-YiXjF<VMXaFw=Q;8
zX3W5^1p=BA?1>^UmIVRn0TEeP=+Z`Iqml*eG(vt6RWG&`&$Gih1i_%V4a(MMM?T9-
zYSPatiY5^_$PktB^^q|X{f?`b#%<BSJ^VB(WI$!(RQrN+YNAZou+$O6aibrKpUV7$
zhQ8%d#nK^nJV2KE#1%9w6x;iW{VDSJ24bzh?g*Qp`VxxHdn++4r1!!Z)GOv1p7zRg
z$6arydgjpKypqsxKpI9Mxl9o&Y+*IgVjssNr9Q`+0CgdxL@Q3BH5)7YWig%N(3Do~
z@Tm@LOa|;Y-Tb#1eW?+26eeF~YguiF4A))dI4`TBckCW#V2%iOGV_l01lo6Y$#KH^
zK0S6&qy+o!?Qouue>gA#cz&*V6*7H#_*wx~@jkfQ)!~B)Yk-%<8RZk{S^y#F^o@3~
ze2S-nG!g?Tibq(!d2|@_!^n<zMy-U=BArwdZAX#}_)=#?fG4({BXXaP82rj@-zZLY
zae=}4`=iWn)6$ilS9tJ(k*V`@3Vh3bN`>ST5IA!x!Xl$5zfVLd^`A*c2K5ibDp0z0
zjA!VSuC+zMMq@`aAq_B+NLghLQ;UgUeh?+=Xh`wt5%q1*EtY%99^f+Y^^A?{Eh@Ur
zmgiUxZu&zV51szZM>@oUcs4{5ZO!v2N7l@p&8Fy-Ji`6<<Zn?!SGPb!$d7oyMb8&R
zj)+^R>TF5AIR_00bDrRAVdJqx+Eu^?1m^Xk5z}gYGP|!6Z&v}AlDYi3m6x><-L&kv
znkq4I7H!FgUiN5fDGquzDj;E?WysRp<F5^mRF;1zrf-&YD5e*&G;o21Tt2(Y>R67n
zAOte8a8I5H(*>D0XIQ;l-j#OF*%OTxc1amt<yBO3y$BU{QS%DsIvHw#r?VM@$KO>w
ziStaQCmcV??RbmtHq4f?XAt-Xe5JeiowI&?@!|YNU?quvP9>(pHwoE#y+sL33qqE0
zf+re0SPF&f3sMGBM2M*%pP)&goG@~s-h#Y-o$(@RCy(J$Bz*m5q;{P%X`TjSv&Yd(
zJJNuomvwDx(TLESayZB3IXK{>?N0?q<=UF5vjn^IIyv>D#jK3SA5T&{NHC^c+@!WA
zrXqvCm~4$r?eSGlYb|;j?2jR>PF*<{Olx?p&+u)Ys+E<)$*DfdpQ+0MyPIinb#^C=
z8V*mz1{#3&I0L^JUkK@lGhJ}Jvqgc}#P>ge?3Hx4fco4hQTyvySQm@}GsV8s1qR~3
zGBzDLNr(RiPEcA`d}Ww-prfwFJrL+L+oH3zuY?u6zn|qPeDXbbWf=$GWU?%$9N$D{
zbUaoe&nO}rJ3~xDn3mD4pg6XXC>Kmj>_cg9>eo@bhgQpt)%so|PkTIvmaC~32A{4P
zmCnY}4UO*Q#Y>&)4j24mWBSo5;pLs$mv)sM>XfcI#d6C7z}evsGvFvg79q<xc%EUy
zp(=TuVoz0i`jM)Qj>nsnfds4zUY?Gda7ai8MNKUiaB78s!UnnV=%vmloAhc1iz<QD
z_&g&YLA|+a5sUbNx_J6jT*ehbE$;=?24Xj)OY1&vGzUzZf>RO7pQag?T9v~q8oivn
z&_~Ip0~dUZ$}AZA*fCPZ^>RF`_&a|f4Si>Ars2g49c!#;Z-9}ufJ6y%=wr-hSq=0l
zISgv{Mk4A@n$yXgdHfLMwZLQq^2_`=v;lj|7sk$ymM?HkwEDgl;fDtfYXy`@Ir?hK
z!&&;0;3$6F)JDQ4ENu~R)_u_q7SdQzd<Ik16^xE^Hs(X9_O%rjA;JV1b@?s+y1`<d
zR`n(qW~-Oic##_N44Jo+v#}vAKf!7Uun-@kBczJ{K>K^rW8<O@(jXo~n1Ms>*H7Rg
zqH^y)5i6CDR|&d8h!1c2jBlWqs#zGai6bbAtdHg5Uw!}bTu7Rbk7Pfa`-$HJYQJ73
zTu)+wRO+tatOuB<9`unUysk)%AcY<-66<I3w3YYKCGoTQECMyiRxB$Bkv`}3LeM2i
z={~#+MC&CBeEs0Qn-pvb+7#I(?+HPAFatNzJW%)hFwi<=nEE-l!%|765bEPfFLB2R
zael|7B^i|$@2*4mdWJ5J_G!=`oRX>tXm3~#UtcdLU)$ZkZqHnpiQD<G+o!r6S8LPw
za+5Mf?%OH%Zbl2_N}R5^upwndd6<7rM}*_e8{x^<i1xO2wvT%du|4}zq@-m=HekCr
zUF2A+FEfJ%-+a0}bg9)S!`sE%wa)9y?->0NfkpnFsP^-vjlF)Slg=W~E@*z-o2cO{
z743>)%o?r82PJ{ztQYmf=N8dF-0t(5V!r#2_1({f&hHx!;Lr8Y|K50<!`!=fdGGSS
zvb_li`1fMz?`7l7Qt5wg(*JY$_<ylchi>%#UpMN|O(pc*zc=bXd3VbH1LN;u2>-zI
z|Ci1BueBzVfFda~B9kJiDpW<)UvUUQAn0Zpx)HxwV?#jfe{48^R@I&AcWYPR&sFdL
zZg=(2Zu2%$WH0E3lO)p{U3oe|C{!q$c6CTl;{4vjmwsdSp00#c7J5*Rk74v0xX$1z
zP4XNH!N1;}_qz{6ZI;&AUZ6o5z-A;X2Nq#yku-V&dIOufpr!g?pkDe(Y+hLIOys?-
z_Ym>#1n~tUK@RX3@;@3KeKq0`BsJ$O9lXb@N#cheQir1kzNGu6QT28e^g!Hkpq@Mw
zWhSQO8Y?l5KMPaw6s1K>jS%N+bxcuJgf4?xLihB?%P*%oLHLm;YgbZqB@k&l{=>&$
zffYK?oIzL&vCn3SxlI4_w|T^xdxjEu^RkK?=(3!}=w{zf9vi3!h%MvDJ@ozXUw!?~
z*98KCSphc!H}!hsx%f2%0KmU_cb*}r-{f!R-QFMCR?Pp9z1w;Hou1{VALb@^Fmw-e
zTM!G>)$yw!sFQ;EZ|>a)1pI?{7uycV`d2wOo|Rji5VpVJvoPOj_0Qt(R06TH{$0?W
zPVDT^ecE53?v(mx@;i-KSpQBAxUn@iDgi(M$lvJ!cS`*uJ=AaVOBBQc`l}$Q!|4|j
z2+j2$?7y`72k%ZLFytT1JDmV5Y=D2jy3-2q579fFpq{V4%fC|!2!Q<ECO<9cjaGka
z^mB0Cuz=vdvb<B0i|cM{Ev03kXM@PZZ(#?G$;tviWD+;hwINmg<p}~ny;V>nMhdvW
zEJF(QH{Co~ZmI?PxX}*!_$31VMS*`&kYAEeC)JGz)Q|S_@hcbBpGJff>I}PKLj7+y
zk6-&=Xvo4}GXdadZ-5red<)=b^FV39uZ*F4@}J27w=)L-_^Sv2@K+fC;IBdepkJi`
zpsvE3VgOJ#;?F0`FUtdfy4`-!xA{R`Za-=8ZGKRf+%NhzKWJFRpET43`11*M*WEmU
zw>Z^r!h_y+$s5U=>gVFRnS*{=dwwljEmI4F8^+IyC;bWIhLq5=)zXE&CH)EHPT-}M
zww|dC>CeJ%c(3eiO^wX;Y)FB>D&S5|!a^4sWLMrs?@r)fo`k=F{Pc;C{z4?g0v!sV
zUlnkZkI>D)2K}mlTN>(L{8a%zX%N)+3WEHsz}xpwKjyCrxuu~~0Mr)>t&m%JsE?BE
zX9eEAhx%fFh711no(1YZ1+o9E&>Of+Qq~qaH!&hrp_L;b1a+{OLHj1(?UNr`g?bLQ
zr0R%FO0Tqy^>l1+)etp<dR%{w)StPEnt`FM@mGb3nt@1v^@$q@qGkYSm%0NeY6kV`
z{_0r2Ua~+t`d@HG&7j`epRN289KVIBg|)1umX6+SxdM9nT6U(kGQxbMztTWe_`C6M
z0Q_ovQYJ||Gw6t7hNgomMoJB!x#=X(mcONqjD9hIcZ^#B&>ao@^`7O92K}PJcQnf{
z8gfU2f6=UWG~^e}c1N@RqS^0gwqG=~Vr~(!-!lG!2w=YD{EhKWi@#6;Zec=4=$)ds
zK%pywJI*ass6Dyk+=7L6=R3|VT)<y=0k?nwe<23kLWYk1yHvNBp+@hP1H8oy{0lSi
z7BkdV+{xTxh8ngz&MjtW%inQsF++RN9p@G^@Gs23Tg<?}FavKfL+#LAs$0y^1A{xx
zEoRVPm_fIgp;qfw26WdM{=y8p#SA?-xRbfX47G80oLkJ$1C2Y*EoRVPm_fIgp%(E@
z<`y$_^>)X(#mw>-X3#IpKkeLKhVG{=y6f#iM%FgA&~bG;1esoHK}iraha0oN%}si1
z9UZLo^bw(FCqN(~^Iw0Y5b({Rjy~xP4*)&)0NqS0H-Dt&fALsvvi^<7c4Mag!Tb3c
z+V6hn0dB(2{#y>nb~8);#$&&khyKZ9V~0SX?fp+46dxGsi~Sc5`X0It`;7-p3%r?s
ze#;N|JLVfX=#kJLa_s-sml-O@_FEl5dF+2+xsijm<?s2i-&n_gV_^r}EYJVVV`XOf
zLyi>y?LWWE0a^dxv9sLFv;WMGotXsyfzGM_<UujBfd43io$Y4M{-+$YF#tEy$ZtF#
zbo%&%cVp{+m%DMK|C<M$`JfZ;zj@3oH*1F9c;Mgr1{BNh{eT(DWBm^~w%^;5of%r}
zANT-2*E0Vu7w|{lfTjig-bT<m1>G#I{+$*AxS0(9&13nGv=GqE8tdP3Y@nNU(Z6{R
z(4Te628LRnf6D=wL9BnIWdr{<exY^6c5|HhN7~=}6;zJ(Pkq_g|L7agmEuis|9@eI
zuKxbyF+-StuNUYJ;AXk<@3hcy{(HSZ<)BBozsZ3>zmFq!s6~J-k$#tB`F$Kg<=B3=
z2hb4+`J>&Sa=+UMs2tlL?FIxf-yEa=TMu@&KiUm?{&KVV`j;Fu?H^?TnW3Zg4>{nC
z_u}7aAvY1mf8&8bH*56Y<bcpax8HcI;6KJCG-&zFCidTHSy}(k4am;^NB@H!tpA}K
z^veUk+3f$Puybdz;|QW~u3xc<;+>v;R5uubEU!S3zz!WLkU=1{u--_&USACuZl80(
zp$^rLsj26gy4nK+nwg8XGmy(JMlk;WamCJ=-Ji(S>=kwlo!S|_W&5OZ<}(!BnND}P
zIW0CJXEC-y2WSkdGqT0n_v@3f0L7N?H;!xo_qBt*Q?W(X6AW&_pLgMeCYNIpa>l{}
z1#2ZNMv!Ife#mJ~S*;xwCtD9Y7dgi|PNR1T3{bIwu_-o->AtblbT!ZHN;W++P+~TY
zM$O-lGym=9(44$_FXkV}X>EZV-lcbmo^8^8zh0AI*s%!9$wWjxy_=lYO$!z=NrP=a
zJR$#pz>Xbc5XJbYuV;+bwAQ1%qLR?HZDdQjpAiR@vtTVOe~dV(-9>H<#(M+{C>X`o
zZ0dt?5{O*R^cUyV;cj=1c3NIV&hE#ck>#Tp)%1s)#ikh0fO5Z}iqjZ@oW=1VbEyty
z$#JJ$SFt?q!jmQ6vOVvFX)p|XQJqo&TfCp6C0`@^VIGQ&aoC+%Z0Fvo8Rqmnv(A3l
z{pPfD36qw8!L)v+<ae9oZ+KW;f}F)-FsrW?!Bcer$7;T?GGU6YR`obU;HCS%)ieAa
zL0f$lxu$xiHAqhH<{jnQ(_+MG7~3Xy&{l-&uTfB%-14>EbHM5(6<yn_#rxGSI_u`n
z+=YOuwzfKjlkMmByqFkNd*Q~egK;pPc&jVU9mQfN7M}dpem{I+*K@9IR&!<ltG>F%
z9sBd1ll^dNJvR>5eH8Q671|T09cV3IKnje}?Xz8SV)x~2v@W|&FHB-xsq7?itu#t5
z$)Oh}@94t%{=9j=Dz#(s2TOXyOHO)&#Au%PX9FXl8>TTL*G}n$zzTJ+u7ye$Uqy~#
zGn31a+D*^MQKTydC2niaDt5(PNR9Sv#4FRE^>nPQhs4ChwAV<C%2@A5*=~1+%{HCZ
z@OQ*tF|xJPj<&WnsmHlX%TZy`AF0;&TT;KUmWgANvpOv0u8(Ya$bY;U7!IuGlFs+I
zmTQTqDu=t-J0GX?m#pQ5xZIuhJBI6pGHlN&x!;t04i?($CU)`m`}0PXIy>boAAt?G
zztBD^*V4ADUg!htd8y@1r?hYO-sT<uo!$L%PS@$2`PpQDUKkUzKdx+kzLclo*+{mg
zd+J!nv<J(zOM0t9rL3GnVyD!diB;iq66<y@U4`_1DK{-%ftk<5HTt{jDoU~V47Dk>
zGG~+~bxvZ+@gxQzEAIo3mRdRGmc=1zbh9fkvnwh%$>;0`O{j5=bZId*;JDRx1I|co
zDEK0-wu>8Cybn^SuN_kJb3bCI`bSjvnV=lE{aW?+OYLa)%Pgh3$13f4+tON~1;5xZ
z{ZV$>8Ps~}zrmLZ$2@-oJcHej@A-B=cw6<iAWYi*NM@$f;c+bn(Npy@Xygr}I#UcM
zwD*BwX?$V+LHb(Wc{Gc45z5h~T--S~e;Omc%8ZHWWx@`d-087o(v+B7cRdq#eLtFe
zTT92P7;#tRAWK5^0yd?`AqLU!+uHM*r@D>poia@A1*{8aSs>es##pdZ?FFn!?~-em
z*1-H8i4Rx%^MWn)OBhRDlE{Gx_eFomCmXSQFotV%ExeRt+V?;n7!O?dtrm$!_L~Rn
zx?%Y<vdz{oQsto759Ny=^@Z|vzr`qtV-}k_)TY`!*swdV6Jlk*-#A9mcn`)9n8`KG
zWys-~Dwhe#u%@*wB{d&AM2;VyX^oCt7jBOFgEm>utyTFP<l3ROMi;7FDI-sC&3cyx
zw<K``IU=;&nIGe6eSekI^4=iumipG{_0YTkh6C#v72?7$%gL;r!j+PH`D?^>m#RGB
zC8x1C*J}R(wuHCMwTns3&F&M^c$Jvh3z){qY&GP21!q7hh|eS@-2Ww~H7j!ZZ8qiH
zhQM-k={8QLoYpUiX&eH(=Cx!kMVIY&`nzm2r!J@QiZd+tBzDW`zrK9=_WkQi4v0Pe
z_3h`^YZ&73&*x{xC$4FU$4@{0d4Aw2nVfk1^vA>BzmYfl?`uBsEr}kW=083>jrZee
ly+0wmKfHVRf01h>`QO(sFR#}O1}e+;?#<h`PoF=&`31|n9NGW?

literal 0
HcmV?d00001


From 2c6adf246af3d958b511e247365cc67538576d93 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Mon, 12 Feb 2018 13:23:39 -0800
Subject: [PATCH 03/42] IDL threads

---
 src/caffe/layers/base_data_layer.cpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/caffe/layers/base_data_layer.cpp b/src/caffe/layers/base_data_layer.cpp
index cb68035a61b..9e8cedaa350 100644
--- a/src/caffe/layers/base_data_layer.cpp
+++ b/src/caffe/layers/base_data_layer.cpp
@@ -13,7 +13,7 @@ namespace caffe {
 
 template<typename Ftype, typename Btype>
 size_t BasePrefetchingDataLayer<Ftype, Btype>::threads(const LayerParameter& param) {
-  if (param.has_image_data_param()) {
+  if (param.type().compare("ImageData") == 0 && param.has_image_data_param()) {
     return param.image_data_param().threads();
   }
 

From f11c170913853c009409aefbb6a5334c44d76d44 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Sat, 24 Feb 2018 21:19:29 -0800
Subject: [PATCH 04/42] Squashed commit of the following:

commit c9bf5d6649d6204837d961ba83d020d690803c19
Author: Sergei Nikolaev <snikolaev@nvidia.com>
Date:   Sat Feb 24 21:16:01 2018 -0800

    Post-merge 5

commit e0edbab92131d05dc77641afb9dac1861385a323
Author: Sergei Nikolaev <snikolaev@nvidia.com>
Date:   Sat Feb 24 20:54:49 2018 -0800

    Post-merge 4

commit e34ea8fb286c8f27ca5e123c524bc77f40985b85
Author: Sergei Nikolaev <snikolaev@nvidia.com>
Date:   Sat Feb 24 14:33:10 2018 -0800

    Post-merge 3

commit 20eb63531f9f349d88ed1f1b11724ac7611b68b4
Author: Sergei Nikolaev <snikolaev@nvidia.com>
Date:   Sat Feb 24 14:19:20 2018 -0800

    Post-merge 3

commit 27418028e313f16ab5254db2e8e1345acfe2330e
Author: Sergei Nikolaev <snikolaev@nvidia.com>
Date:   Sat Feb 24 14:05:13 2018 -0800

    Post-merge 2

commit 732e2e9ab83250c673ef793753b218d975bddd96
Author: Sergei Nikolaev <snikolaev@nvidia.com>
Date:   Thu Feb 22 19:25:50 2018 -0800

    WIP

commit e161d0cdcc6086f87097c6a1d4bb5493c9656004
Author: Sergei Nikolaev <snikolaev@nvidia.com>
Date:   Thu Feb 22 00:20:16 2018 -0800

    Post-merge 1

commit b0fa2d525e1912f664027548f6fa65d38cdc6b0e
Author: Sergei Nikolaev <snikolaev@nvidia.com>
Date:   Wed Feb 21 22:54:25 2018 -0800

    446 merged

commit 86d84ff2cb0cec4a230f4fd770393c467e6ac698
Author: Sergei Nikolaev <snikolaev@nvidia.com>
Date:   Wed Feb 21 18:12:47 2018 -0800

    WIP

commit 82dd1470db712791610b460f8f9971505f097b96
Author: Sergei Nikolaev <snikolaev@nvidia.com>
Date:   Tue Feb 20 23:06:18 2018 -0800

    WIP

commit 9f7714cb7acc722164718df20c9b905057b89e60
Author: Sergei Nikolaev <snikolaev@nvidia.com>
Date:   Mon Feb 12 18:58:53 2018 -0800

    IDL threads

commit 40def9c0a8d22e394776e03c05e292321367f16e
Merge: 68156bb6e 2c6adf246
Author: Sergei Nikolaev <snikolaev@nvidia.com>
Date:   Mon Feb 12 14:00:58 2018 -0800

    Merge branch 'caffe-0.17' into caffe-0.17-rnn

commit 68156bb6e68fd2ccf42c6e4b24f286a39f29522e
Author: Sergei Nikolaev <snikolaev@nvidia.com>
Date:   Thu Feb 8 14:58:49 2018 -0800

    wip

commit f46a188344a8be6bd6172669c26b6e235b642a19
Author: Sergei Nikolaev <snikolaev@nvidia.com>
Date:   Mon Feb 5 18:47:04 2018 -0800

    wip

commit 07022d6390d4ae620324a5ef9437f01714669d36
Author: Sergei Nikolaev <snikolaev@nvidia.com>
Date:   Thu Feb 1 19:26:41 2018 -0800

    wip

commit 70d4d7b08a29f13196ea9f5123eaae365a6dcfa2
Author: Sergei Nikolaev <snikolaev@nvidia.com>
Date:   Wed Jan 31 19:27:33 2018 -0800

    Headers

commit 332017e5103b918764587a4c3563982a4fcc7450
Author: Sergei Nikolaev <snikolaev@nvidia.com>
Date:   Wed Jan 31 14:42:54 2018 -0800

    Headers
---
 CMakeLists.txt                                |    2 +-
 LICENSE                                       |    6 +
 Makefile                                      |    6 +-
 cmake/Dependencies.cmake                      |    2 +-
 data/ILSVRC2016/README.md                     |   29 +
 data/ILSVRC2016/create_data.sh                |   30 +
 data/ILSVRC2016/create_list.py                |  109 +
 .../labelmap_ilsvrc_clsloc.prototxt           | 5005 +++++++++++++++++
 data/ILSVRC2016/labelmap_ilsvrc_det.prototxt  | 1005 ++++
 data/VOC0712/coco_voc_map.txt                 |   21 +
 data/VOC0712/create_data.sh                   |   25 +
 data/VOC0712/create_list.sh                   |   51 +
 data/VOC0712/labelmap_voc.prototxt            |  105 +
 data/coco/README.md                           |   38 +
 data/coco/create_data.sh                      |   27 +
 data/coco/create_list.py                      |  125 +
 data/coco/labelmap_coco.prototxt              |  405 ++
 data/coco/labels.txt                          |   80 +
 examples/02-fine-tuning.ipynb                 |    2 +-
 examples/detection.ipynb                      |    2 +-
 examples/ssd/model_libs.py                    |  933 +++
 examples/ssd/plot_detections.py               |  124 +
 examples/ssd/score_ssd_coco.py                |  558 ++
 examples/ssd/score_ssd_pascal.py              |  558 ++
 examples/ssd/ssd_coco.py                      |  576 ++
 examples/ssd/ssd_detect.cpp                   |  346 ++
 examples/ssd/ssd_detect.py                    |  149 +
 examples/ssd/ssd_ilsvrc.py                    |  575 ++
 examples/ssd/ssd_pascal.py                    |  575 ++
 examples/ssd/ssd_pascal_orig.py               |  582 ++
 examples/ssd/ssd_pascal_resnet.py             |  522 ++
 examples/ssd/ssd_pascal_speed.py              |  556 ++
 examples/ssd/ssd_pascal_video.py              |  293 +
 examples/ssd/ssd_pascal_webcam.py             |  296 +
 examples/ssd/ssd_pascal_zf.py                 |  580 ++
 include/caffe/common.hpp                      |   23 +-
 include/caffe/data_reader.hpp                 |   37 +-
 include/caffe/data_transformer.hpp            |  463 +-
 include/caffe/layer.hpp                       |   17 +-
 include/caffe/layers/accuracy_layer.hpp       |   23 +-
 include/caffe/layers/annotated_data_layer.hpp |   51 +
 include/caffe/layers/base_data_layer.hpp      |   18 +-
 include/caffe/layers/cudnn_conv_layer.hpp     |   18 +-
 include/caffe/layers/cudnn_deconv_layer.hpp   |   69 +
 include/caffe/layers/data_layer.hpp           |    8 +-
 .../caffe/layers/detection_evaluate_layer.hpp |   73 +
 .../caffe/layers/detection_output_layer.hpp   |  120 +
 include/caffe/layers/loss_layer.hpp           |   12 +
 include/caffe/layers/lstm_layer.hpp           |  149 +
 include/caffe/layers/memory_data_layer.hpp    |    4 +-
 include/caffe/layers/multibox_loss_layer.hpp  |  114 +
 include/caffe/layers/normalize_layer.hpp      |   53 +
 include/caffe/layers/permute_layer.hpp        |   61 +
 include/caffe/layers/pooling_layer.hpp        |    4 +-
 include/caffe/layers/prior_box_layer.hpp      |   86 +
 include/caffe/layers/recurrent_layer.hpp      |  181 +
 include/caffe/layers/rnn_layer.hpp            |   45 +
 include/caffe/layers/smooth_L1_loss_layer.hpp |   70 +
 include/caffe/layers/video_data_layer.hpp     |   56 +
 include/caffe/net.hpp                         |   16 +-
 include/caffe/parallel.hpp                    |    2 +-
 include/caffe/solver.hpp                      |    1 +
 .../caffe/test/test_gradient_check_util.hpp   |   15 +-
 include/caffe/type.hpp                        |    5 +
 include/caffe/util/bbox_util.hpp              |  518 ++
 include/caffe/util/cudnn.hpp                  |   16 +
 include/caffe/util/db.hpp                     |    1 +
 include/caffe/util/db_leveldb.hpp             |    4 +
 include/caffe/util/db_lmdb.hpp                |    3 +
 include/caffe/util/gpu_memory.hpp             |   15 +
 include/caffe/util/im_transforms.hpp          |   86 +
 include/caffe/util/io.hpp                     |   94 +
 include/caffe/util/sampler.hpp                |   39 +
 .../VGGNet/coco/SSD_300x300/deploy.prototxt   | 1629 ++++++
 .../VGGNet/coco/SSD_300x300/solver.prototxt   |   33 +
 models/VGGNet/coco/SSD_300x300/test.prototxt  | 1671 ++++++
 models/VGGNet/coco/SSD_300x300/train.prototxt | 1733 ++++++
 python/caffe/net_spec.py                      |   22 +-
 scripts/create_annoset.py                     |  167 +
 src/caffe/common.cpp                          |   15 +-
 src/caffe/data_reader.cpp                     |   75 +-
 src/caffe/data_transformer.cpp                | 1440 ++++-
 src/caffe/data_transformer.cu                 |    8 +-
 src/caffe/layer.cpp                           |    5 +-
 src/caffe/layers/accuracy_layer.cu            |  150 +
 src/caffe/layers/annotated_data_layer.cpp     |  337 ++
 src/caffe/layers/base_data_layer.cpp          |   53 +-
 src/caffe/layers/concat_layer.cu              |    6 +-
 src/caffe/layers/cudnn_conv_layer.cpp         |   72 +-
 src/caffe/layers/cudnn_conv_layer.cu          |   12 +-
 src/caffe/layers/cudnn_deconv_layer.cpp       |  328 ++
 src/caffe/layers/cudnn_deconv_layer.cu        |  138 +
 src/caffe/layers/data_layer.cpp               |   30 +-
 src/caffe/layers/detection_evaluate_layer.cpp |  250 +
 src/caffe/layers/detection_output_layer.cpp   |  470 ++
 src/caffe/layers/detection_output_layer.cu    |  303 +
 src/caffe/layers/dropout_layer.cu             |   21 +-
 src/caffe/layers/embed_layer.cu               |   29 +-
 src/caffe/layers/hdf5_data_layer.cpp          |    4 +-
 src/caffe/layers/image_data_layer.cpp         |   23 +-
 src/caffe/layers/inner_product_layer.cpp      |    2 +-
 src/caffe/layers/loss_layer.cpp               |   31 +
 src/caffe/layers/lstm_layer.cpp               |  244 +
 src/caffe/layers/lstm_unit_layer.cpp          |  126 +
 src/caffe/layers/lstm_unit_layer.cu           |  162 +
 src/caffe/layers/multibox_loss_layer.cpp      |  375 ++
 src/caffe/layers/normalize_layer.cpp          |  229 +
 src/caffe/layers/normalize_layer.cu           |  220 +
 src/caffe/layers/permute_layer.cpp            |  139 +
 src/caffe/layers/permute_layer.cu             |   78 +
 src/caffe/layers/pooling_layer.cpp            |    2 +-
 src/caffe/layers/pooling_layer.cu             |   19 +-
 src/caffe/layers/prior_box_layer.cpp          |  224 +
 src/caffe/layers/recurrent_layer.cpp          |  297 +
 src/caffe/layers/recurrent_layer.cu           |   44 +
 src/caffe/layers/reduction_layer.cpp          |    6 +-
 src/caffe/layers/reshape_layer.cpp            |    2 +-
 src/caffe/layers/rnn_layer.cpp                |  236 +
 src/caffe/layers/scale_layer.cpp              |    4 +-
 src/caffe/layers/slice_layer.cu               |    6 +-
 src/caffe/layers/smooth_L1_loss_layer.cpp     |  104 +
 src/caffe/layers/smooth_L1_loss_layer.cu      |   96 +
 src/caffe/layers/video_data_layer.cpp         |  157 +
 src/caffe/net.cpp                             |   19 +-
 src/caffe/proto/caffe.proto                   |  567 +-
 src/caffe/solver.cpp                          |  143 +-
 src/caffe/tensor.cpp                          |   12 +-
 src/caffe/test/test_common.cpp                |    2 +
 src/caffe/test/test_convolution_layer.cpp     |    4 +-
 src/caffe/test/test_data_transformer.cpp      |   50 +-
 src/caffe/test/test_lstm_layer.cpp            |  324 ++
 src/caffe/test/test_neuron_layer.cpp          |    4 +-
 src/caffe/test/test_rnn_layer.cpp             |  241 +
 src/caffe/test/test_stochastic_pooling.cpp    |   21 +-
 src/caffe/util/bbox_util.cpp                  | 2304 ++++++++
 src/caffe/util/bbox_util.cu                   |  669 +++
 src/caffe/util/blocking_queue.cpp             |    1 +
 src/caffe/util/gpu_memory.cpp                 |   12 +
 src/caffe/util/im_transforms.cpp              |  729 +++
 src/caffe/util/io.cpp                         |  553 +-
 src/caffe/util/math_functions.cu              |   14 +-
 src/caffe/util/math_functions2.cu             |    7 +
 src/caffe/util/sampler.cpp                    |  167 +
 tools/caffe.cpp                               |  188 +
 tools/convert_annoset.cpp                     |  203 +
 tools/create_label_map.cpp                    |   65 +
 tools/get_image_size.cpp                      |  109 +
 147 files changed, 34460 insertions(+), 643 deletions(-)
 create mode 100644 data/ILSVRC2016/README.md
 create mode 100644 data/ILSVRC2016/create_data.sh
 create mode 100644 data/ILSVRC2016/create_list.py
 create mode 100644 data/ILSVRC2016/labelmap_ilsvrc_clsloc.prototxt
 create mode 100644 data/ILSVRC2016/labelmap_ilsvrc_det.prototxt
 create mode 100644 data/VOC0712/coco_voc_map.txt
 create mode 100644 data/VOC0712/create_data.sh
 create mode 100644 data/VOC0712/create_list.sh
 create mode 100644 data/VOC0712/labelmap_voc.prototxt
 create mode 100644 data/coco/README.md
 create mode 100644 data/coco/create_data.sh
 create mode 100644 data/coco/create_list.py
 create mode 100644 data/coco/labelmap_coco.prototxt
 create mode 100644 data/coco/labels.txt
 create mode 100644 examples/ssd/model_libs.py
 create mode 100644 examples/ssd/plot_detections.py
 create mode 100644 examples/ssd/score_ssd_coco.py
 create mode 100644 examples/ssd/score_ssd_pascal.py
 create mode 100644 examples/ssd/ssd_coco.py
 create mode 100644 examples/ssd/ssd_detect.cpp
 create mode 100644 examples/ssd/ssd_detect.py
 create mode 100644 examples/ssd/ssd_ilsvrc.py
 create mode 100644 examples/ssd/ssd_pascal.py
 create mode 100644 examples/ssd/ssd_pascal_orig.py
 create mode 100644 examples/ssd/ssd_pascal_resnet.py
 create mode 100644 examples/ssd/ssd_pascal_speed.py
 create mode 100644 examples/ssd/ssd_pascal_video.py
 create mode 100644 examples/ssd/ssd_pascal_webcam.py
 create mode 100644 examples/ssd/ssd_pascal_zf.py
 create mode 100644 include/caffe/layers/annotated_data_layer.hpp
 create mode 100644 include/caffe/layers/cudnn_deconv_layer.hpp
 create mode 100644 include/caffe/layers/detection_evaluate_layer.hpp
 create mode 100644 include/caffe/layers/detection_output_layer.hpp
 create mode 100644 include/caffe/layers/lstm_layer.hpp
 create mode 100644 include/caffe/layers/multibox_loss_layer.hpp
 create mode 100644 include/caffe/layers/normalize_layer.hpp
 create mode 100644 include/caffe/layers/permute_layer.hpp
 create mode 100644 include/caffe/layers/prior_box_layer.hpp
 create mode 100644 include/caffe/layers/recurrent_layer.hpp
 create mode 100644 include/caffe/layers/rnn_layer.hpp
 create mode 100644 include/caffe/layers/smooth_L1_loss_layer.hpp
 create mode 100644 include/caffe/layers/video_data_layer.hpp
 create mode 100644 include/caffe/util/bbox_util.hpp
 create mode 100644 include/caffe/util/im_transforms.hpp
 create mode 100644 include/caffe/util/sampler.hpp
 create mode 100644 models/VGGNet/coco/SSD_300x300/deploy.prototxt
 create mode 100644 models/VGGNet/coco/SSD_300x300/solver.prototxt
 create mode 100644 models/VGGNet/coco/SSD_300x300/test.prototxt
 create mode 100644 models/VGGNet/coco/SSD_300x300/train.prototxt
 create mode 100644 scripts/create_annoset.py
 create mode 100644 src/caffe/layers/accuracy_layer.cu
 create mode 100644 src/caffe/layers/annotated_data_layer.cpp
 create mode 100644 src/caffe/layers/cudnn_deconv_layer.cpp
 create mode 100644 src/caffe/layers/cudnn_deconv_layer.cu
 create mode 100644 src/caffe/layers/detection_evaluate_layer.cpp
 create mode 100644 src/caffe/layers/detection_output_layer.cpp
 create mode 100644 src/caffe/layers/detection_output_layer.cu
 create mode 100644 src/caffe/layers/lstm_layer.cpp
 create mode 100644 src/caffe/layers/lstm_unit_layer.cpp
 create mode 100644 src/caffe/layers/lstm_unit_layer.cu
 create mode 100644 src/caffe/layers/multibox_loss_layer.cpp
 create mode 100644 src/caffe/layers/normalize_layer.cpp
 create mode 100644 src/caffe/layers/normalize_layer.cu
 create mode 100644 src/caffe/layers/permute_layer.cpp
 create mode 100644 src/caffe/layers/permute_layer.cu
 create mode 100644 src/caffe/layers/prior_box_layer.cpp
 create mode 100644 src/caffe/layers/recurrent_layer.cpp
 create mode 100644 src/caffe/layers/recurrent_layer.cu
 create mode 100644 src/caffe/layers/rnn_layer.cpp
 create mode 100644 src/caffe/layers/smooth_L1_loss_layer.cpp
 create mode 100644 src/caffe/layers/smooth_L1_loss_layer.cu
 create mode 100644 src/caffe/layers/video_data_layer.cpp
 create mode 100644 src/caffe/test/test_lstm_layer.cpp
 create mode 100644 src/caffe/test/test_rnn_layer.cpp
 create mode 100644 src/caffe/util/bbox_util.cpp
 create mode 100644 src/caffe/util/bbox_util.cu
 create mode 100644 src/caffe/util/im_transforms.cpp
 create mode 100644 src/caffe/util/sampler.cpp
 create mode 100644 tools/convert_annoset.cpp
 create mode 100644 tools/create_label_map.cpp
 create mode 100644 tools/get_image_size.cpp

diff --git a/CMakeLists.txt b/CMakeLists.txt
index 1b9372db4ca..64aef17340e 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -10,7 +10,7 @@ endif()
 project(Caffe C CXX)
 
 # ---[ Caffe version
-set(CAFFE_TARGET_VERSION "0.16.5")
+set(CAFFE_TARGET_VERSION "0.16.6")
 set(CAFFE_TARGET_SOVERSION "0.16")
 add_definitions(-DCAFFE_VERSION=${CAFFE_TARGET_VERSION})
 
diff --git a/LICENSE b/LICENSE
index d69d16f5bc7..6b6633dfc1f 100644
--- a/LICENSE
+++ b/LICENSE
@@ -1,5 +1,11 @@
 COPYRIGHT
 
+All changes from Caffe SSD (https://github.com/weiliu89/caffe/tree/ssd)
+Copyright (c) 2015, 2016 Wei Liu (UNC Chapel Hill), Dragomir Anguelov (Zoox),
+Dumitru Erhan (Google), Christian Szegedy (Google), Scott Reed (UMich Ann Arbor),
+Cheng-Yang Fu (UNC Chapel Hill), Alexander C. Berg (UNC Chapel Hill).
+All rights reserved.
+
 All contributions by the University of California:
 Copyright (c) 2014, 2015, The Regents of the University of California (Regents)
 All rights reserved.
diff --git a/Makefile b/Makefile
index a568769d4d3..b5d72c4208b 100644
--- a/Makefile
+++ b/Makefile
@@ -36,7 +36,7 @@ LIB_BUILD_DIR := $(BUILD_DIR)/lib
 STATIC_NAME := $(LIB_BUILD_DIR)/lib$(LIBRARY_NAME).a
 DYNAMIC_VERSION_MAJOR 		:= 0
 DYNAMIC_VERSION_MINOR 		:= 16
-DYNAMIC_VERSION_REVISION 	:= 5
+DYNAMIC_VERSION_REVISION 	:= 6
 DYNAMIC_NAME_SHORT := lib$(LIBRARY_NAME).so
 DYNAMIC_SONAME_SHORT := $(DYNAMIC_NAME_SHORT).$(DYNAMIC_VERSION_MAJOR).$(DYNAMIC_VERSION_MINOR)
 DYNAMIC_VERSIONED_NAME_SHORT := $(DYNAMIC_SONAME_SHORT).$(DYNAMIC_VERSION_REVISION)
@@ -216,7 +216,7 @@ ifeq ($(USE_OPENCV), 1)
 	LIBRARIES += opencv_core opencv_highgui opencv_imgproc
 
 	ifeq ($(OPENCV_VERSION), 3)
-		LIBRARIES += opencv_imgcodecs
+		LIBRARIES += opencv_imgcodecs opencv_videoio
 	endif
 		
 endif
@@ -292,7 +292,7 @@ ifeq ($(LINUX), 1)
 	endif
 	# boost::thread is reasonably called boost_thread (compare OS X)
 	# We will also explicitly add stdc++ to the link target.
-	LIBRARIES += boost_thread stdc++
+	LIBRARIES += boost_thread boost_regex stdc++
 	VERSIONFLAGS += -Wl,-soname,$(DYNAMIC_SONAME_SHORT) -Wl,-rpath,$(ORIGIN)/../lib
 endif
 
diff --git a/cmake/Dependencies.cmake b/cmake/Dependencies.cmake
index 386333fd20e..affbde8f316 100644
--- a/cmake/Dependencies.cmake
+++ b/cmake/Dependencies.cmake
@@ -69,7 +69,7 @@ endif()
 # ---[ OpenCV
 find_package(OpenCV QUIET COMPONENTS imgcodecs)
 if(OPENCV_IMGCODECS_FOUND)
-  find_package(OpenCV REQUIRED COMPONENTS core imgcodecs imgproc)
+  find_package(OpenCV REQUIRED COMPONENTS core imgcodecs highgui imgproc videoio)
   message(STATUS "Found OpenCV 3.x: ${OpenCV_CONFIG_PATH}")
 else()
   find_package(OpenCV REQUIRED COMPONENTS core highgui imgproc)
diff --git a/data/ILSVRC2016/README.md b/data/ILSVRC2016/README.md
new file mode 100644
index 00000000000..c4e5a6fc5a7
--- /dev/null
+++ b/data/ILSVRC2016/README.md
@@ -0,0 +1,29 @@
+### Preparation
+#### ILSVRC2016
+We encourage you to register [ILSVRC2016](http://image-net.org/challenges/LSVRC/2016) and download the DET dataset. By default, we assume the data is stored in `$HOME/data/ILSVRC` and will call it `$ILSVRC_ROOT`.
+
+#### ILSVRC2015
+If you choose to use ILSVRC2015 DET dataset, here are a few noticeable steps before running the following scripts:
+
+1. There are a few problematic images. You can download the fixed ones [here](http://www.cs.unc.edu/~wliu/projects/SSD/ILSVRC2015_DET_fix.tar.gz).
+
+2. You should download the [val1/val2 split](http://www.cs.unc.edu/~wliu/projects/SSD/ILSVRC2015_DET_val1_val2.tar.gz), courtesy of [Ross Girshick](http://people.eecs.berkeley.edu/~rbg), and put it in `$ILSVRC_ROOT/ImageSets/DET`.
+
+### Remove an invalid file
+Find the invalid image file `Data/DET/val/ILSVRC2013_val_00004542.JPEG`, and remove it.
+
+### Create the LMDB file.
+After you have downloaded the dataset, we can create the lmdb files.
+
+  ```Shell
+  cd $CAFFE_ROOT
+  # Create the trainval1.txt, val2.txt, val2_name_size.txt, test.txt and test_name_size.txt in data/ILSVRC2016/
+  python data/ILSVRC2016/create_list.py
+  # You can modify the parameters in create_data.sh if needed.
+  # It will create lmdb files for trainval1, val2 and test with encoded original image:
+  #   - $HOME/data/ILSVRC/lmdb/DET/ILSVRC2016_trainval1_lmdb
+  #   - $HOME/data/ILSVRC/lmdb/DET/ILSVRC2016_val2_lmdb
+  #   - $HOME/data/ILSVRC/lmdb/DET/ILSVRC2016_test_lmdb
+  # and make soft links at examples/ILSVRC2016/
+  ./data/ILSVRC2016/create_data.sh
+  ```
diff --git a/data/ILSVRC2016/create_data.sh b/data/ILSVRC2016/create_data.sh
new file mode 100644
index 00000000000..688db535824
--- /dev/null
+++ b/data/ILSVRC2016/create_data.sh
@@ -0,0 +1,30 @@
+cur_dir=$(cd $( dirname ${BASH_SOURCE[0]} ) && pwd )
+root_dir=$cur_dir/../..
+
+cd $root_dir
+
+redo=false
+data_root_dir="$HOME/data/ILSVRC"
+dataset_name="ILSVRC2016"
+mapfile="$root_dir/data/$dataset_name/labelmap_ilsvrc_det.prototxt"
+db="lmdb"
+min_dim=0
+max_dim=0
+width=0
+height=0
+
+extra_cmd="--encode-type=jpg --encoded"
+if $redo
+then
+  extra_cmd="$extra_cmd --redo"
+fi
+
+for dataset in test
+do
+  python $root_dir/scripts/create_annoset.py --anno-type="classification" --label-map-file=$mapfile --min-dim=$min_dim --max-dim=$max_dim --resize-width=$width --resize-height=$height --check-label $extra_cmd $data_root_dir $root_dir/data/$dataset_name/$dataset".txt" $data_root_dir/$db/DET/$dataset_name"_"$dataset"_"$db examples/$dataset_name 2>&1 | tee $root_dir/data/$dataset_name/$dataset.log
+done
+
+for dataset in val2 trainval1
+do
+  python $root_dir/scripts/create_annoset.py --anno-type="detection" --label-map-file=$mapfile --min-dim=$min_dim --max-dim=$max_dim --resize-width=$width --resize-height=$height --check-label $extra_cmd $data_root_dir $root_dir/data/$dataset_name/$dataset".txt" $data_root_dir/$db/DET/$dataset_name"_"$dataset"_"$db examples/$dataset_name 2>&1 | tee $root_dir/data/$dataset_name/$dataset.log
+done
diff --git a/data/ILSVRC2016/create_list.py b/data/ILSVRC2016/create_list.py
new file mode 100644
index 00000000000..8e6dce2b8fc
--- /dev/null
+++ b/data/ILSVRC2016/create_list.py
@@ -0,0 +1,109 @@
+import argparse
+import os
+from random import shuffle
+import shutil
+import subprocess
+import sys
+
+HOMEDIR = os.path.expanduser("~")
+CURDIR = os.path.dirname(os.path.realpath(__file__))
+
+# If true, re-create all list files.
+redo = False
+# The root directory which holds all information of the dataset.
+data_dir = "{}/data/ILSVRC".format(HOMEDIR)
+# The directory name which holds the image sets.
+imgset_dir = "ImageSets/DET"
+# The direcotry which contains the images.
+img_dir = "Data/DET"
+img_ext = "JPEG"
+# The directory which contains the annotations.
+anno_dir = "Annotations/DET"
+anno_ext = "xml"
+
+train_list_file = "{}/trainval1.txt".format(CURDIR)
+val_list_file = "{}/val2.txt".format(CURDIR)
+val_name_size_file = "{}/val2_name_size.txt".format(CURDIR)
+test_list_file = "{}/test.txt".format(CURDIR)
+test_name_size_file = "{}/test_name_size.txt".format(CURDIR)
+
+# Create training set.
+# We follow Ross Girschick's split in R-CNN.
+if redo or not os.path.exists(train_list_file):
+    datasets = ["train", "val1"]
+    img_files = []
+    anno_files = []
+    for dataset in datasets:
+        imgset_file = "{}/{}/{}.txt".format(data_dir, imgset_dir, dataset)
+        with open(imgset_file, "r") as f:
+            for line in f.readlines():
+                name = line.strip("\n").split(" ")[0]
+                subset = name.split("/")[0].split("_")[1]
+                anno_file = "{}/{}/{}.{}".format(anno_dir, subset, name, anno_ext)
+                # Ignore image if it does not have annotation. These are the negative images in ILSVRC.
+                if not os.path.exists("{}/{}".format(data_dir, anno_file)):
+                    continue
+                img_file = "{}/{}/{}.{}".format(img_dir, subset, name, img_ext)
+                assert os.path.exists("{}/{}".format(data_dir, img_file))
+                img_files.append(img_file)
+                anno_files.append(anno_file)
+    # Shuffle the images.
+    idx = [i for i in xrange(len(img_files))]
+    shuffle(idx)
+    with open(train_list_file, "w") as f:
+        for i in idx:
+            f.write("{} {}\n".format(img_files[i], anno_files[i]))
+
+if redo or not os.path.exists(val_list_file):
+    datasets = ["val2"]
+    subset = "val"
+    img_files = []
+    anno_files = []
+    for dataset in datasets:
+        imgset_file = "{}/{}/{}.txt".format(data_dir, imgset_dir, dataset)
+        with open(imgset_file, "r") as f:
+            for line in f.readlines():
+                name = line.strip("\n").split(" ")[0]
+                img_file = "{}/{}/{}.{}".format(img_dir, subset, name, img_ext)
+                assert os.path.exists("{}/{}".format(data_dir, img_file))
+                anno_file = "{}/{}/{}.{}".format(anno_dir, subset, name, anno_ext)
+                assert os.path.exists("{}/{}".format(data_dir, anno_file))
+                img_files.append(img_file)
+                anno_files.append(anno_file)
+    with open(val_list_file, "w") as f:
+        for i in xrange(len(img_files)):
+            f.write("{} {}\n".format(img_files[i], anno_files[i]))
+
+if redo or not os.path.exists(val_name_size_file):
+    dataset = 'val2'
+    imgset_file = "{}/{}/{}.txt".format(data_dir, imgset_dir, dataset)
+    cmd = "{}/../../build/tools/get_image_size --name_id_file={} {} {} {}".format(
+            CURDIR, imgset_file, data_dir, val_list_file, val_name_size_file)
+    print cmd
+    process = subprocess.Popen(cmd.split(), stdout=subprocess.PIPE)
+    output = process.communicate()[0]
+
+if redo or not os.path.exists(test_list_file):
+    datasets = ["test"]
+    subset = "test"
+    img_files = []
+    for dataset in datasets:
+        imgset_file = "{}/{}/{}.txt".format(data_dir, imgset_dir, dataset)
+        with open(imgset_file, "r") as f:
+            for line in f.readlines():
+                name = line.strip("\n").split(" ")[0]
+                img_file = "{}/{}/{}.{}".format(img_dir, subset, name, img_ext)
+                assert os.path.exists("{}/{}".format(data_dir, img_file))
+                img_files.append(img_file)
+    with open(test_list_file, "w") as f:
+        for i in xrange(len(img_files)):
+            f.write("{} 0\n".format(img_files[i]))
+
+if redo or not os.path.exists(test_name_size_file):
+    dataset = 'test'
+    imgset_file = "{}/{}/{}.txt".format(data_dir, imgset_dir, dataset)
+    cmd = "{}/../../build/tools/get_image_size --name_id_file={} {} {} {}".format(
+            CURDIR, imgset_file, data_dir, test_list_file, test_name_size_file)
+    print cmd
+    process = subprocess.Popen(cmd.split(), stdout=subprocess.PIPE)
+    output = process.communicate()[0]
diff --git a/data/ILSVRC2016/labelmap_ilsvrc_clsloc.prototxt b/data/ILSVRC2016/labelmap_ilsvrc_clsloc.prototxt
new file mode 100644
index 00000000000..1a27998cd53
--- /dev/null
+++ b/data/ILSVRC2016/labelmap_ilsvrc_clsloc.prototxt
@@ -0,0 +1,5005 @@
+item {
+  name: "none_of_the_above"
+  label: 0
+  display_name: "background"
+}
+item {
+  name: "n02119789"
+  label: 1
+  display_name: "kit_fox"
+}
+item {
+  name: "n02100735"
+  label: 2
+  display_name: "English_setter"
+}
+item {
+  name: "n02110185"
+  label: 3
+  display_name: "Siberian_husky"
+}
+item {
+  name: "n02096294"
+  label: 4
+  display_name: "Australian_terrier"
+}
+item {
+  name: "n02102040"
+  label: 5
+  display_name: "English_springer"
+}
+item {
+  name: "n02066245"
+  label: 6
+  display_name: "grey_whale"
+}
+item {
+  name: "n02509815"
+  label: 7
+  display_name: "lesser_panda"
+}
+item {
+  name: "n02124075"
+  label: 8
+  display_name: "Egyptian_cat"
+}
+item {
+  name: "n02417914"
+  label: 9
+  display_name: "ibex"
+}
+item {
+  name: "n02123394"
+  label: 10
+  display_name: "Persian_cat"
+}
+item {
+  name: "n02125311"
+  label: 11
+  display_name: "cougar"
+}
+item {
+  name: "n02423022"
+  label: 12
+  display_name: "gazelle"
+}
+item {
+  name: "n02346627"
+  label: 13
+  display_name: "porcupine"
+}
+item {
+  name: "n02077923"
+  label: 14
+  display_name: "sea_lion"
+}
+item {
+  name: "n02110063"
+  label: 15
+  display_name: "malamute"
+}
+item {
+  name: "n02447366"
+  label: 16
+  display_name: "badger"
+}
+item {
+  name: "n02109047"
+  label: 17
+  display_name: "Great_Dane"
+}
+item {
+  name: "n02089867"
+  label: 18
+  display_name: "Walker_hound"
+}
+item {
+  name: "n02102177"
+  label: 19
+  display_name: "Welsh_springer_spaniel"
+}
+item {
+  name: "n02091134"
+  label: 20
+  display_name: "whippet"
+}
+item {
+  name: "n02092002"
+  label: 21
+  display_name: "Scottish_deerhound"
+}
+item {
+  name: "n02071294"
+  label: 22
+  display_name: "killer_whale"
+}
+item {
+  name: "n02442845"
+  label: 23
+  display_name: "mink"
+}
+item {
+  name: "n02504458"
+  label: 24
+  display_name: "African_elephant"
+}
+item {
+  name: "n02092339"
+  label: 25
+  display_name: "Weimaraner"
+}
+item {
+  name: "n02098105"
+  label: 26
+  display_name: "soft-coated_wheaten_terrier"
+}
+item {
+  name: "n02096437"
+  label: 27
+  display_name: "Dandie_Dinmont"
+}
+item {
+  name: "n02114712"
+  label: 28
+  display_name: "red_wolf"
+}
+item {
+  name: "n02105641"
+  label: 29
+  display_name: "Old_English_sheepdog"
+}
+item {
+  name: "n02128925"
+  label: 30
+  display_name: "jaguar"
+}
+item {
+  name: "n02091635"
+  label: 31
+  display_name: "otterhound"
+}
+item {
+  name: "n02088466"
+  label: 32
+  display_name: "bloodhound"
+}
+item {
+  name: "n02096051"
+  label: 33
+  display_name: "Airedale"
+}
+item {
+  name: "n02117135"
+  label: 34
+  display_name: "hyena"
+}
+item {
+  name: "n02138441"
+  label: 35
+  display_name: "meerkat"
+}
+item {
+  name: "n02097130"
+  label: 36
+  display_name: "giant_schnauzer"
+}
+item {
+  name: "n02493509"
+  label: 37
+  display_name: "titi"
+}
+item {
+  name: "n02457408"
+  label: 38
+  display_name: "three-toed_sloth"
+}
+item {
+  name: "n02389026"
+  label: 39
+  display_name: "sorrel"
+}
+item {
+  name: "n02443484"
+  label: 40
+  display_name: "black-footed_ferret"
+}
+item {
+  name: "n02110341"
+  label: 41
+  display_name: "dalmatian"
+}
+item {
+  name: "n02089078"
+  label: 42
+  display_name: "black-and-tan_coonhound"
+}
+item {
+  name: "n02086910"
+  label: 43
+  display_name: "papillon"
+}
+item {
+  name: "n02445715"
+  label: 44
+  display_name: "skunk"
+}
+item {
+  name: "n02093256"
+  label: 45
+  display_name: "Staffordshire_bullterrier"
+}
+item {
+  name: "n02113978"
+  label: 46
+  display_name: "Mexican_hairless"
+}
+item {
+  name: "n02106382"
+  label: 47
+  display_name: "Bouvier_des_Flandres"
+}
+item {
+  name: "n02441942"
+  label: 48
+  display_name: "weasel"
+}
+item {
+  name: "n02113712"
+  label: 49
+  display_name: "miniature_poodle"
+}
+item {
+  name: "n02113186"
+  label: 50
+  display_name: "Cardigan"
+}
+item {
+  name: "n02105162"
+  label: 51
+  display_name: "malinois"
+}
+item {
+  name: "n02415577"
+  label: 52
+  display_name: "bighorn"
+}
+item {
+  name: "n02356798"
+  label: 53
+  display_name: "fox_squirrel"
+}
+item {
+  name: "n02488702"
+  label: 54
+  display_name: "colobus"
+}
+item {
+  name: "n02123159"
+  label: 55
+  display_name: "tiger_cat"
+}
+item {
+  name: "n02098413"
+  label: 56
+  display_name: "Lhasa"
+}
+item {
+  name: "n02422699"
+  label: 57
+  display_name: "impala"
+}
+item {
+  name: "n02114855"
+  label: 58
+  display_name: "coyote"
+}
+item {
+  name: "n02094433"
+  label: 59
+  display_name: "Yorkshire_terrier"
+}
+item {
+  name: "n02111277"
+  label: 60
+  display_name: "Newfoundland"
+}
+item {
+  name: "n02132136"
+  label: 61
+  display_name: "brown_bear"
+}
+item {
+  name: "n02119022"
+  label: 62
+  display_name: "red_fox"
+}
+item {
+  name: "n02091467"
+  label: 63
+  display_name: "Norwegian_elkhound"
+}
+item {
+  name: "n02106550"
+  label: 64
+  display_name: "Rottweiler"
+}
+item {
+  name: "n02422106"
+  label: 65
+  display_name: "hartebeest"
+}
+item {
+  name: "n02091831"
+  label: 66
+  display_name: "Saluki"
+}
+item {
+  name: "n02120505"
+  label: 67
+  display_name: "grey_fox"
+}
+item {
+  name: "n02104365"
+  label: 68
+  display_name: "schipperke"
+}
+item {
+  name: "n02086079"
+  label: 69
+  display_name: "Pekinese"
+}
+item {
+  name: "n02112706"
+  label: 70
+  display_name: "Brabancon_griffon"
+}
+item {
+  name: "n02098286"
+  label: 71
+  display_name: "West_Highland_white_terrier"
+}
+item {
+  name: "n02095889"
+  label: 72
+  display_name: "Sealyham_terrier"
+}
+item {
+  name: "n02484975"
+  label: 73
+  display_name: "guenon"
+}
+item {
+  name: "n02137549"
+  label: 74
+  display_name: "mongoose"
+}
+item {
+  name: "n02500267"
+  label: 75
+  display_name: "indri"
+}
+item {
+  name: "n02129604"
+  label: 76
+  display_name: "tiger"
+}
+item {
+  name: "n02090721"
+  label: 77
+  display_name: "Irish_wolfhound"
+}
+item {
+  name: "n02396427"
+  label: 78
+  display_name: "wild_boar"
+}
+item {
+  name: "n02108000"
+  label: 79
+  display_name: "EntleBucher"
+}
+item {
+  name: "n02391049"
+  label: 80
+  display_name: "zebra"
+}
+item {
+  name: "n02412080"
+  label: 81
+  display_name: "ram"
+}
+item {
+  name: "n02108915"
+  label: 82
+  display_name: "French_bulldog"
+}
+item {
+  name: "n02480495"
+  label: 83
+  display_name: "orangutan"
+}
+item {
+  name: "n02110806"
+  label: 84
+  display_name: "basenji"
+}
+item {
+  name: "n02128385"
+  label: 85
+  display_name: "leopard"
+}
+item {
+  name: "n02107683"
+  label: 86
+  display_name: "Bernese_mountain_dog"
+}
+item {
+  name: "n02085936"
+  label: 87
+  display_name: "Maltese_dog"
+}
+item {
+  name: "n02094114"
+  label: 88
+  display_name: "Norfolk_terrier"
+}
+item {
+  name: "n02087046"
+  label: 89
+  display_name: "toy_terrier"
+}
+item {
+  name: "n02100583"
+  label: 90
+  display_name: "vizsla"
+}
+item {
+  name: "n02096177"
+  label: 91
+  display_name: "cairn"
+}
+item {
+  name: "n02494079"
+  label: 92
+  display_name: "squirrel_monkey"
+}
+item {
+  name: "n02105056"
+  label: 93
+  display_name: "groenendael"
+}
+item {
+  name: "n02101556"
+  label: 94
+  display_name: "clumber"
+}
+item {
+  name: "n02123597"
+  label: 95
+  display_name: "Siamese_cat"
+}
+item {
+  name: "n02481823"
+  label: 96
+  display_name: "chimpanzee"
+}
+item {
+  name: "n02105505"
+  label: 97
+  display_name: "komondor"
+}
+item {
+  name: "n02088094"
+  label: 98
+  display_name: "Afghan_hound"
+}
+item {
+  name: "n02085782"
+  label: 99
+  display_name: "Japanese_spaniel"
+}
+item {
+  name: "n02489166"
+  label: 100
+  display_name: "proboscis_monkey"
+}
+item {
+  name: "n02364673"
+  label: 101
+  display_name: "guinea_pig"
+}
+item {
+  name: "n02114548"
+  label: 102
+  display_name: "white_wolf"
+}
+item {
+  name: "n02134084"
+  label: 103
+  display_name: "ice_bear"
+}
+item {
+  name: "n02480855"
+  label: 104
+  display_name: "gorilla"
+}
+item {
+  name: "n02090622"
+  label: 105
+  display_name: "borzoi"
+}
+item {
+  name: "n02113624"
+  label: 106
+  display_name: "toy_poodle"
+}
+item {
+  name: "n02093859"
+  label: 107
+  display_name: "Kerry_blue_terrier"
+}
+item {
+  name: "n02403003"
+  label: 108
+  display_name: "ox"
+}
+item {
+  name: "n02097298"
+  label: 109
+  display_name: "Scotch_terrier"
+}
+item {
+  name: "n02108551"
+  label: 110
+  display_name: "Tibetan_mastiff"
+}
+item {
+  name: "n02493793"
+  label: 111
+  display_name: "spider_monkey"
+}
+item {
+  name: "n02107142"
+  label: 112
+  display_name: "Doberman"
+}
+item {
+  name: "n02096585"
+  label: 113
+  display_name: "Boston_bull"
+}
+item {
+  name: "n02107574"
+  label: 114
+  display_name: "Greater_Swiss_Mountain_dog"
+}
+item {
+  name: "n02107908"
+  label: 115
+  display_name: "Appenzeller"
+}
+item {
+  name: "n02086240"
+  label: 116
+  display_name: "Shih-Tzu"
+}
+item {
+  name: "n02102973"
+  label: 117
+  display_name: "Irish_water_spaniel"
+}
+item {
+  name: "n02112018"
+  label: 118
+  display_name: "Pomeranian"
+}
+item {
+  name: "n02093647"
+  label: 119
+  display_name: "Bedlington_terrier"
+}
+item {
+  name: "n02397096"
+  label: 120
+  display_name: "warthog"
+}
+item {
+  name: "n02437312"
+  label: 121
+  display_name: "Arabian_camel"
+}
+item {
+  name: "n02483708"
+  label: 122
+  display_name: "siamang"
+}
+item {
+  name: "n02097047"
+  label: 123
+  display_name: "miniature_schnauzer"
+}
+item {
+  name: "n02106030"
+  label: 124
+  display_name: "collie"
+}
+item {
+  name: "n02099601"
+  label: 125
+  display_name: "golden_retriever"
+}
+item {
+  name: "n02093991"
+  label: 126
+  display_name: "Irish_terrier"
+}
+item {
+  name: "n02110627"
+  label: 127
+  display_name: "affenpinscher"
+}
+item {
+  name: "n02106166"
+  label: 128
+  display_name: "Border_collie"
+}
+item {
+  name: "n02326432"
+  label: 129
+  display_name: "hare"
+}
+item {
+  name: "n02108089"
+  label: 130
+  display_name: "boxer"
+}
+item {
+  name: "n02097658"
+  label: 131
+  display_name: "silky_terrier"
+}
+item {
+  name: "n02088364"
+  label: 132
+  display_name: "beagle"
+}
+item {
+  name: "n02111129"
+  label: 133
+  display_name: "Leonberg"
+}
+item {
+  name: "n02100236"
+  label: 134
+  display_name: "German_short-haired_pointer"
+}
+item {
+  name: "n02486261"
+  label: 135
+  display_name: "patas"
+}
+item {
+  name: "n02115913"
+  label: 136
+  display_name: "dhole"
+}
+item {
+  name: "n02486410"
+  label: 137
+  display_name: "baboon"
+}
+item {
+  name: "n02487347"
+  label: 138
+  display_name: "macaque"
+}
+item {
+  name: "n02099849"
+  label: 139
+  display_name: "Chesapeake_Bay_retriever"
+}
+item {
+  name: "n02108422"
+  label: 140
+  display_name: "bull_mastiff"
+}
+item {
+  name: "n02104029"
+  label: 141
+  display_name: "kuvasz"
+}
+item {
+  name: "n02492035"
+  label: 142
+  display_name: "capuchin"
+}
+item {
+  name: "n02110958"
+  label: 143
+  display_name: "pug"
+}
+item {
+  name: "n02099429"
+  label: 144
+  display_name: "curly-coated_retriever"
+}
+item {
+  name: "n02094258"
+  label: 145
+  display_name: "Norwich_terrier"
+}
+item {
+  name: "n02099267"
+  label: 146
+  display_name: "flat-coated_retriever"
+}
+item {
+  name: "n02395406"
+  label: 147
+  display_name: "hog"
+}
+item {
+  name: "n02112350"
+  label: 148
+  display_name: "keeshond"
+}
+item {
+  name: "n02109961"
+  label: 149
+  display_name: "Eskimo_dog"
+}
+item {
+  name: "n02101388"
+  label: 150
+  display_name: "Brittany_spaniel"
+}
+item {
+  name: "n02113799"
+  label: 151
+  display_name: "standard_poodle"
+}
+item {
+  name: "n02095570"
+  label: 152
+  display_name: "Lakeland_terrier"
+}
+item {
+  name: "n02128757"
+  label: 153
+  display_name: "snow_leopard"
+}
+item {
+  name: "n02101006"
+  label: 154
+  display_name: "Gordon_setter"
+}
+item {
+  name: "n02115641"
+  label: 155
+  display_name: "dingo"
+}
+item {
+  name: "n02097209"
+  label: 156
+  display_name: "standard_schnauzer"
+}
+item {
+  name: "n02342885"
+  label: 157
+  display_name: "hamster"
+}
+item {
+  name: "n02097474"
+  label: 158
+  display_name: "Tibetan_terrier"
+}
+item {
+  name: "n02120079"
+  label: 159
+  display_name: "Arctic_fox"
+}
+item {
+  name: "n02095314"
+  label: 160
+  display_name: "wire-haired_fox_terrier"
+}
+item {
+  name: "n02088238"
+  label: 161
+  display_name: "basset"
+}
+item {
+  name: "n02408429"
+  label: 162
+  display_name: "water_buffalo"
+}
+item {
+  name: "n02133161"
+  label: 163
+  display_name: "American_black_bear"
+}
+item {
+  name: "n02328150"
+  label: 164
+  display_name: "Angora"
+}
+item {
+  name: "n02410509"
+  label: 165
+  display_name: "bison"
+}
+item {
+  name: "n02492660"
+  label: 166
+  display_name: "howler_monkey"
+}
+item {
+  name: "n02398521"
+  label: 167
+  display_name: "hippopotamus"
+}
+item {
+  name: "n02112137"
+  label: 168
+  display_name: "chow"
+}
+item {
+  name: "n02510455"
+  label: 169
+  display_name: "giant_panda"
+}
+item {
+  name: "n02093428"
+  label: 170
+  display_name: "American_Staffordshire_terrier"
+}
+item {
+  name: "n02105855"
+  label: 171
+  display_name: "Shetland_sheepdog"
+}
+item {
+  name: "n02111500"
+  label: 172
+  display_name: "Great_Pyrenees"
+}
+item {
+  name: "n02085620"
+  label: 173
+  display_name: "Chihuahua"
+}
+item {
+  name: "n02123045"
+  label: 174
+  display_name: "tabby"
+}
+item {
+  name: "n02490219"
+  label: 175
+  display_name: "marmoset"
+}
+item {
+  name: "n02099712"
+  label: 176
+  display_name: "Labrador_retriever"
+}
+item {
+  name: "n02109525"
+  label: 177
+  display_name: "Saint_Bernard"
+}
+item {
+  name: "n02454379"
+  label: 178
+  display_name: "armadillo"
+}
+item {
+  name: "n02111889"
+  label: 179
+  display_name: "Samoyed"
+}
+item {
+  name: "n02088632"
+  label: 180
+  display_name: "bluetick"
+}
+item {
+  name: "n02090379"
+  label: 181
+  display_name: "redbone"
+}
+item {
+  name: "n02443114"
+  label: 182
+  display_name: "polecat"
+}
+item {
+  name: "n02361337"
+  label: 183
+  display_name: "marmot"
+}
+item {
+  name: "n02105412"
+  label: 184
+  display_name: "kelpie"
+}
+item {
+  name: "n02483362"
+  label: 185
+  display_name: "gibbon"
+}
+item {
+  name: "n02437616"
+  label: 186
+  display_name: "llama"
+}
+item {
+  name: "n02107312"
+  label: 187
+  display_name: "miniature_pinscher"
+}
+item {
+  name: "n02325366"
+  label: 188
+  display_name: "wood_rabbit"
+}
+item {
+  name: "n02091032"
+  label: 189
+  display_name: "Italian_greyhound"
+}
+item {
+  name: "n02129165"
+  label: 190
+  display_name: "lion"
+}
+item {
+  name: "n02102318"
+  label: 191
+  display_name: "cocker_spaniel"
+}
+item {
+  name: "n02100877"
+  label: 192
+  display_name: "Irish_setter"
+}
+item {
+  name: "n02074367"
+  label: 193
+  display_name: "dugong"
+}
+item {
+  name: "n02504013"
+  label: 194
+  display_name: "Indian_elephant"
+}
+item {
+  name: "n02363005"
+  label: 195
+  display_name: "beaver"
+}
+item {
+  name: "n02102480"
+  label: 196
+  display_name: "Sussex_spaniel"
+}
+item {
+  name: "n02113023"
+  label: 197
+  display_name: "Pembroke"
+}
+item {
+  name: "n02086646"
+  label: 198
+  display_name: "Blenheim_spaniel"
+}
+item {
+  name: "n02497673"
+  label: 199
+  display_name: "Madagascar_cat"
+}
+item {
+  name: "n02087394"
+  label: 200
+  display_name: "Rhodesian_ridgeback"
+}
+item {
+  name: "n02127052"
+  label: 201
+  display_name: "lynx"
+}
+item {
+  name: "n02116738"
+  label: 202
+  display_name: "African_hunting_dog"
+}
+item {
+  name: "n02488291"
+  label: 203
+  display_name: "langur"
+}
+item {
+  name: "n02091244"
+  label: 204
+  display_name: "Ibizan_hound"
+}
+item {
+  name: "n02114367"
+  label: 205
+  display_name: "timber_wolf"
+}
+item {
+  name: "n02130308"
+  label: 206
+  display_name: "cheetah"
+}
+item {
+  name: "n02089973"
+  label: 207
+  display_name: "English_foxhound"
+}
+item {
+  name: "n02105251"
+  label: 208
+  display_name: "briard"
+}
+item {
+  name: "n02134418"
+  label: 209
+  display_name: "sloth_bear"
+}
+item {
+  name: "n02093754"
+  label: 210
+  display_name: "Border_terrier"
+}
+item {
+  name: "n02106662"
+  label: 211
+  display_name: "German_shepherd"
+}
+item {
+  name: "n02444819"
+  label: 212
+  display_name: "otter"
+}
+item {
+  name: "n01882714"
+  label: 213
+  display_name: "koala"
+}
+item {
+  name: "n01871265"
+  label: 214
+  display_name: "tusker"
+}
+item {
+  name: "n01872401"
+  label: 215
+  display_name: "echidna"
+}
+item {
+  name: "n01877812"
+  label: 216
+  display_name: "wallaby"
+}
+item {
+  name: "n01873310"
+  label: 217
+  display_name: "platypus"
+}
+item {
+  name: "n01883070"
+  label: 218
+  display_name: "wombat"
+}
+item {
+  name: "n04086273"
+  label: 219
+  display_name: "revolver"
+}
+item {
+  name: "n04507155"
+  label: 220
+  display_name: "umbrella"
+}
+item {
+  name: "n04147183"
+  label: 221
+  display_name: "schooner"
+}
+item {
+  name: "n04254680"
+  label: 222
+  display_name: "soccer_ball"
+}
+item {
+  name: "n02672831"
+  label: 223
+  display_name: "accordion"
+}
+item {
+  name: "n02219486"
+  label: 224
+  display_name: "ant"
+}
+item {
+  name: "n02317335"
+  label: 225
+  display_name: "starfish"
+}
+item {
+  name: "n01968897"
+  label: 226
+  display_name: "chambered_nautilus"
+}
+item {
+  name: "n03452741"
+  label: 227
+  display_name: "grand_piano"
+}
+item {
+  name: "n03642806"
+  label: 228
+  display_name: "laptop"
+}
+item {
+  name: "n07745940"
+  label: 229
+  display_name: "strawberry"
+}
+item {
+  name: "n02690373"
+  label: 230
+  display_name: "airliner"
+}
+item {
+  name: "n04552348"
+  label: 231
+  display_name: "warplane"
+}
+item {
+  name: "n02692877"
+  label: 232
+  display_name: "airship"
+}
+item {
+  name: "n02782093"
+  label: 233
+  display_name: "balloon"
+}
+item {
+  name: "n04266014"
+  label: 234
+  display_name: "space_shuttle"
+}
+item {
+  name: "n03344393"
+  label: 235
+  display_name: "fireboat"
+}
+item {
+  name: "n03447447"
+  label: 236
+  display_name: "gondola"
+}
+item {
+  name: "n04273569"
+  label: 237
+  display_name: "speedboat"
+}
+item {
+  name: "n03662601"
+  label: 238
+  display_name: "lifeboat"
+}
+item {
+  name: "n02951358"
+  label: 239
+  display_name: "canoe"
+}
+item {
+  name: "n04612504"
+  label: 240
+  display_name: "yawl"
+}
+item {
+  name: "n02981792"
+  label: 241
+  display_name: "catamaran"
+}
+item {
+  name: "n04483307"
+  label: 242
+  display_name: "trimaran"
+}
+item {
+  name: "n03095699"
+  label: 243
+  display_name: "container_ship"
+}
+item {
+  name: "n03673027"
+  label: 244
+  display_name: "liner"
+}
+item {
+  name: "n03947888"
+  label: 245
+  display_name: "pirate"
+}
+item {
+  name: "n02687172"
+  label: 246
+  display_name: "aircraft_carrier"
+}
+item {
+  name: "n04347754"
+  label: 247
+  display_name: "submarine"
+}
+item {
+  name: "n04606251"
+  label: 248
+  display_name: "wreck"
+}
+item {
+  name: "n03478589"
+  label: 249
+  display_name: "half_track"
+}
+item {
+  name: "n04389033"
+  label: 250
+  display_name: "tank"
+}
+item {
+  name: "n03773504"
+  label: 251
+  display_name: "missile"
+}
+item {
+  name: "n02860847"
+  label: 252
+  display_name: "bobsled"
+}
+item {
+  name: "n03218198"
+  label: 253
+  display_name: "dogsled"
+}
+item {
+  name: "n02835271"
+  label: 254
+  display_name: "bicycle-built-for-two"
+}
+item {
+  name: "n03792782"
+  label: 255
+  display_name: "mountain_bike"
+}
+item {
+  name: "n03393912"
+  label: 256
+  display_name: "freight_car"
+}
+item {
+  name: "n03895866"
+  label: 257
+  display_name: "passenger_car"
+}
+item {
+  name: "n02797295"
+  label: 258
+  display_name: "barrow"
+}
+item {
+  name: "n04204347"
+  label: 259
+  display_name: "shopping_cart"
+}
+item {
+  name: "n03791053"
+  label: 260
+  display_name: "motor_scooter"
+}
+item {
+  name: "n03384352"
+  label: 261
+  display_name: "forklift"
+}
+item {
+  name: "n03272562"
+  label: 262
+  display_name: "electric_locomotive"
+}
+item {
+  name: "n04310018"
+  label: 263
+  display_name: "steam_locomotive"
+}
+item {
+  name: "n02704792"
+  label: 264
+  display_name: "amphibian"
+}
+item {
+  name: "n02701002"
+  label: 265
+  display_name: "ambulance"
+}
+item {
+  name: "n02814533"
+  label: 266
+  display_name: "beach_wagon"
+}
+item {
+  name: "n02930766"
+  label: 267
+  display_name: "cab"
+}
+item {
+  name: "n03100240"
+  label: 268
+  display_name: "convertible"
+}
+item {
+  name: "n03594945"
+  label: 269
+  display_name: "jeep"
+}
+item {
+  name: "n03670208"
+  label: 270
+  display_name: "limousine"
+}
+item {
+  name: "n03770679"
+  label: 271
+  display_name: "minivan"
+}
+item {
+  name: "n03777568"
+  label: 272
+  display_name: "Model_T"
+}
+item {
+  name: "n04037443"
+  label: 273
+  display_name: "racer"
+}
+item {
+  name: "n04285008"
+  label: 274
+  display_name: "sports_car"
+}
+item {
+  name: "n03444034"
+  label: 275
+  display_name: "go-kart"
+}
+item {
+  name: "n03445924"
+  label: 276
+  display_name: "golfcart"
+}
+item {
+  name: "n03785016"
+  label: 277
+  display_name: "moped"
+}
+item {
+  name: "n04252225"
+  label: 278
+  display_name: "snowplow"
+}
+item {
+  name: "n03345487"
+  label: 279
+  display_name: "fire_engine"
+}
+item {
+  name: "n03417042"
+  label: 280
+  display_name: "garbage_truck"
+}
+item {
+  name: "n03930630"
+  label: 281
+  display_name: "pickup"
+}
+item {
+  name: "n04461696"
+  label: 282
+  display_name: "tow_truck"
+}
+item {
+  name: "n04467665"
+  label: 283
+  display_name: "trailer_truck"
+}
+item {
+  name: "n03796401"
+  label: 284
+  display_name: "moving_van"
+}
+item {
+  name: "n03977966"
+  label: 285
+  display_name: "police_van"
+}
+item {
+  name: "n04065272"
+  label: 286
+  display_name: "recreational_vehicle"
+}
+item {
+  name: "n04335435"
+  label: 287
+  display_name: "streetcar"
+}
+item {
+  name: "n04252077"
+  label: 288
+  display_name: "snowmobile"
+}
+item {
+  name: "n04465501"
+  label: 289
+  display_name: "tractor"
+}
+item {
+  name: "n03776460"
+  label: 290
+  display_name: "mobile_home"
+}
+item {
+  name: "n04482393"
+  label: 291
+  display_name: "tricycle"
+}
+item {
+  name: "n04509417"
+  label: 292
+  display_name: "unicycle"
+}
+item {
+  name: "n03538406"
+  label: 293
+  display_name: "horse_cart"
+}
+item {
+  name: "n03599486"
+  label: 294
+  display_name: "jinrikisha"
+}
+item {
+  name: "n03868242"
+  label: 295
+  display_name: "oxcart"
+}
+item {
+  name: "n02804414"
+  label: 296
+  display_name: "bassinet"
+}
+item {
+  name: "n03125729"
+  label: 297
+  display_name: "cradle"
+}
+item {
+  name: "n03131574"
+  label: 298
+  display_name: "crib"
+}
+item {
+  name: "n03388549"
+  label: 299
+  display_name: "four-poster"
+}
+item {
+  name: "n02870880"
+  label: 300
+  display_name: "bookcase"
+}
+item {
+  name: "n03018349"
+  label: 301
+  display_name: "china_cabinet"
+}
+item {
+  name: "n03742115"
+  label: 302
+  display_name: "medicine_chest"
+}
+item {
+  name: "n03016953"
+  label: 303
+  display_name: "chiffonier"
+}
+item {
+  name: "n04380533"
+  label: 304
+  display_name: "table_lamp"
+}
+item {
+  name: "n03337140"
+  label: 305
+  display_name: "file"
+}
+item {
+  name: "n03891251"
+  label: 306
+  display_name: "park_bench"
+}
+item {
+  name: "n02791124"
+  label: 307
+  display_name: "barber_chair"
+}
+item {
+  name: "n04429376"
+  label: 308
+  display_name: "throne"
+}
+item {
+  name: "n03376595"
+  label: 309
+  display_name: "folding_chair"
+}
+item {
+  name: "n04099969"
+  label: 310
+  display_name: "rocking_chair"
+}
+item {
+  name: "n04344873"
+  label: 311
+  display_name: "studio_couch"
+}
+item {
+  name: "n04447861"
+  label: 312
+  display_name: "toilet_seat"
+}
+item {
+  name: "n03179701"
+  label: 313
+  display_name: "desk"
+}
+item {
+  name: "n03982430"
+  label: 314
+  display_name: "pool_table"
+}
+item {
+  name: "n03201208"
+  label: 315
+  display_name: "dining_table"
+}
+item {
+  name: "n03290653"
+  label: 316
+  display_name: "entertainment_center"
+}
+item {
+  name: "n04550184"
+  label: 317
+  display_name: "wardrobe"
+}
+item {
+  name: "n07742313"
+  label: 318
+  display_name: "Granny_Smith"
+}
+item {
+  name: "n07747607"
+  label: 319
+  display_name: "orange"
+}
+item {
+  name: "n07749582"
+  label: 320
+  display_name: "lemon"
+}
+item {
+  name: "n07753113"
+  label: 321
+  display_name: "fig"
+}
+item {
+  name: "n07753275"
+  label: 322
+  display_name: "pineapple"
+}
+item {
+  name: "n07753592"
+  label: 323
+  display_name: "banana"
+}
+item {
+  name: "n07754684"
+  label: 324
+  display_name: "jackfruit"
+}
+item {
+  name: "n07760859"
+  label: 325
+  display_name: "custard_apple"
+}
+item {
+  name: "n07768694"
+  label: 326
+  display_name: "pomegranate"
+}
+item {
+  name: "n12267677"
+  label: 327
+  display_name: "acorn"
+}
+item {
+  name: "n12620546"
+  label: 328
+  display_name: "hip"
+}
+item {
+  name: "n13133613"
+  label: 329
+  display_name: "ear"
+}
+item {
+  name: "n11879895"
+  label: 330
+  display_name: "rapeseed"
+}
+item {
+  name: "n12144580"
+  label: 331
+  display_name: "corn"
+}
+item {
+  name: "n12768682"
+  label: 332
+  display_name: "buckeye"
+}
+item {
+  name: "n03854065"
+  label: 333
+  display_name: "organ"
+}
+item {
+  name: "n04515003"
+  label: 334
+  display_name: "upright"
+}
+item {
+  name: "n03017168"
+  label: 335
+  display_name: "chime"
+}
+item {
+  name: "n03249569"
+  label: 336
+  display_name: "drum"
+}
+item {
+  name: "n03447721"
+  label: 337
+  display_name: "gong"
+}
+item {
+  name: "n03720891"
+  label: 338
+  display_name: "maraca"
+}
+item {
+  name: "n03721384"
+  label: 339
+  display_name: "marimba"
+}
+item {
+  name: "n04311174"
+  label: 340
+  display_name: "steel_drum"
+}
+item {
+  name: "n02787622"
+  label: 341
+  display_name: "banjo"
+}
+item {
+  name: "n02992211"
+  label: 342
+  display_name: "cello"
+}
+item {
+  name: "n04536866"
+  label: 343
+  display_name: "violin"
+}
+item {
+  name: "n03495258"
+  label: 344
+  display_name: "harp"
+}
+item {
+  name: "n02676566"
+  label: 345
+  display_name: "acoustic_guitar"
+}
+item {
+  name: "n03272010"
+  label: 346
+  display_name: "electric_guitar"
+}
+item {
+  name: "n03110669"
+  label: 347
+  display_name: "cornet"
+}
+item {
+  name: "n03394916"
+  label: 348
+  display_name: "French_horn"
+}
+item {
+  name: "n04487394"
+  label: 349
+  display_name: "trombone"
+}
+item {
+  name: "n03494278"
+  label: 350
+  display_name: "harmonica"
+}
+item {
+  name: "n03840681"
+  label: 351
+  display_name: "ocarina"
+}
+item {
+  name: "n03884397"
+  label: 352
+  display_name: "panpipe"
+}
+item {
+  name: "n02804610"
+  label: 353
+  display_name: "bassoon"
+}
+item {
+  name: "n03838899"
+  label: 354
+  display_name: "oboe"
+}
+item {
+  name: "n04141076"
+  label: 355
+  display_name: "sax"
+}
+item {
+  name: "n03372029"
+  label: 356
+  display_name: "flute"
+}
+item {
+  name: "n11939491"
+  label: 357
+  display_name: "daisy"
+}
+item {
+  name: "n12057211"
+  label: 358
+  display_name: "yellow_lady\'s_slipper"
+}
+item {
+  name: "n09246464"
+  label: 359
+  display_name: "cliff"
+}
+item {
+  name: "n09468604"
+  label: 360
+  display_name: "valley"
+}
+item {
+  name: "n09193705"
+  label: 361
+  display_name: "alp"
+}
+item {
+  name: "n09472597"
+  label: 362
+  display_name: "volcano"
+}
+item {
+  name: "n09399592"
+  label: 363
+  display_name: "promontory"
+}
+item {
+  name: "n09421951"
+  label: 364
+  display_name: "sandbar"
+}
+item {
+  name: "n09256479"
+  label: 365
+  display_name: "coral_reef"
+}
+item {
+  name: "n09332890"
+  label: 366
+  display_name: "lakeside"
+}
+item {
+  name: "n09428293"
+  label: 367
+  display_name: "seashore"
+}
+item {
+  name: "n09288635"
+  label: 368
+  display_name: "geyser"
+}
+item {
+  name: "n03498962"
+  label: 369
+  display_name: "hatchet"
+}
+item {
+  name: "n03041632"
+  label: 370
+  display_name: "cleaver"
+}
+item {
+  name: "n03658185"
+  label: 371
+  display_name: "letter_opener"
+}
+item {
+  name: "n03954731"
+  label: 372
+  display_name: "plane"
+}
+item {
+  name: "n03995372"
+  label: 373
+  display_name: "power_drill"
+}
+item {
+  name: "n03649909"
+  label: 374
+  display_name: "lawn_mower"
+}
+item {
+  name: "n03481172"
+  label: 375
+  display_name: "hammer"
+}
+item {
+  name: "n03109150"
+  label: 376
+  display_name: "corkscrew"
+}
+item {
+  name: "n02951585"
+  label: 377
+  display_name: "can_opener"
+}
+item {
+  name: "n03970156"
+  label: 378
+  display_name: "plunger"
+}
+item {
+  name: "n04154565"
+  label: 379
+  display_name: "screwdriver"
+}
+item {
+  name: "n04208210"
+  label: 380
+  display_name: "shovel"
+}
+item {
+  name: "n03967562"
+  label: 381
+  display_name: "plow"
+}
+item {
+  name: "n03000684"
+  label: 382
+  display_name: "chain_saw"
+}
+item {
+  name: "n01514668"
+  label: 383
+  display_name: "cock"
+}
+item {
+  name: "n01514859"
+  label: 384
+  display_name: "hen"
+}
+item {
+  name: "n01518878"
+  label: 385
+  display_name: "ostrich"
+}
+item {
+  name: "n01530575"
+  label: 386
+  display_name: "brambling"
+}
+item {
+  name: "n01531178"
+  label: 387
+  display_name: "goldfinch"
+}
+item {
+  name: "n01532829"
+  label: 388
+  display_name: "house_finch"
+}
+item {
+  name: "n01534433"
+  label: 389
+  display_name: "junco"
+}
+item {
+  name: "n01537544"
+  label: 390
+  display_name: "indigo_bunting"
+}
+item {
+  name: "n01558993"
+  label: 391
+  display_name: "robin"
+}
+item {
+  name: "n01560419"
+  label: 392
+  display_name: "bulbul"
+}
+item {
+  name: "n01580077"
+  label: 393
+  display_name: "jay"
+}
+item {
+  name: "n01582220"
+  label: 394
+  display_name: "magpie"
+}
+item {
+  name: "n01592084"
+  label: 395
+  display_name: "chickadee"
+}
+item {
+  name: "n01601694"
+  label: 396
+  display_name: "water_ouzel"
+}
+item {
+  name: "n01608432"
+  label: 397
+  display_name: "kite"
+}
+item {
+  name: "n01614925"
+  label: 398
+  display_name: "bald_eagle"
+}
+item {
+  name: "n01616318"
+  label: 399
+  display_name: "vulture"
+}
+item {
+  name: "n01622779"
+  label: 400
+  display_name: "great_grey_owl"
+}
+item {
+  name: "n01795545"
+  label: 401
+  display_name: "black_grouse"
+}
+item {
+  name: "n01796340"
+  label: 402
+  display_name: "ptarmigan"
+}
+item {
+  name: "n01797886"
+  label: 403
+  display_name: "ruffed_grouse"
+}
+item {
+  name: "n01798484"
+  label: 404
+  display_name: "prairie_chicken"
+}
+item {
+  name: "n01806143"
+  label: 405
+  display_name: "peacock"
+}
+item {
+  name: "n01806567"
+  label: 406
+  display_name: "quail"
+}
+item {
+  name: "n01807496"
+  label: 407
+  display_name: "partridge"
+}
+item {
+  name: "n01817953"
+  label: 408
+  display_name: "African_grey"
+}
+item {
+  name: "n01818515"
+  label: 409
+  display_name: "macaw"
+}
+item {
+  name: "n01819313"
+  label: 410
+  display_name: "sulphur-crested_cockatoo"
+}
+item {
+  name: "n01820546"
+  label: 411
+  display_name: "lorikeet"
+}
+item {
+  name: "n01824575"
+  label: 412
+  display_name: "coucal"
+}
+item {
+  name: "n01828970"
+  label: 413
+  display_name: "bee_eater"
+}
+item {
+  name: "n01829413"
+  label: 414
+  display_name: "hornbill"
+}
+item {
+  name: "n01833805"
+  label: 415
+  display_name: "hummingbird"
+}
+item {
+  name: "n01843065"
+  label: 416
+  display_name: "jacamar"
+}
+item {
+  name: "n01843383"
+  label: 417
+  display_name: "toucan"
+}
+item {
+  name: "n01847000"
+  label: 418
+  display_name: "drake"
+}
+item {
+  name: "n01855032"
+  label: 419
+  display_name: "red-breasted_merganser"
+}
+item {
+  name: "n01855672"
+  label: 420
+  display_name: "goose"
+}
+item {
+  name: "n01860187"
+  label: 421
+  display_name: "black_swan"
+}
+item {
+  name: "n02002556"
+  label: 422
+  display_name: "white_stork"
+}
+item {
+  name: "n02002724"
+  label: 423
+  display_name: "black_stork"
+}
+item {
+  name: "n02006656"
+  label: 424
+  display_name: "spoonbill"
+}
+item {
+  name: "n02007558"
+  label: 425
+  display_name: "flamingo"
+}
+item {
+  name: "n02009912"
+  label: 426
+  display_name: "American_egret"
+}
+item {
+  name: "n02009229"
+  label: 427
+  display_name: "little_blue_heron"
+}
+item {
+  name: "n02011460"
+  label: 428
+  display_name: "bittern"
+}
+item {
+  name: "n02012849"
+  label: 429
+  display_name: "crane"
+}
+item {
+  name: "n02013706"
+  label: 430
+  display_name: "limpkin"
+}
+item {
+  name: "n02018207"
+  label: 431
+  display_name: "American_coot"
+}
+item {
+  name: "n02018795"
+  label: 432
+  display_name: "bustard"
+}
+item {
+  name: "n02025239"
+  label: 433
+  display_name: "ruddy_turnstone"
+}
+item {
+  name: "n02027492"
+  label: 434
+  display_name: "red-backed_sandpiper"
+}
+item {
+  name: "n02028035"
+  label: 435
+  display_name: "redshank"
+}
+item {
+  name: "n02033041"
+  label: 436
+  display_name: "dowitcher"
+}
+item {
+  name: "n02037110"
+  label: 437
+  display_name: "oystercatcher"
+}
+item {
+  name: "n02017213"
+  label: 438
+  display_name: "European_gallinule"
+}
+item {
+  name: "n02051845"
+  label: 439
+  display_name: "pelican"
+}
+item {
+  name: "n02056570"
+  label: 440
+  display_name: "king_penguin"
+}
+item {
+  name: "n02058221"
+  label: 441
+  display_name: "albatross"
+}
+item {
+  name: "n01484850"
+  label: 442
+  display_name: "great_white_shark"
+}
+item {
+  name: "n01491361"
+  label: 443
+  display_name: "tiger_shark"
+}
+item {
+  name: "n01494475"
+  label: 444
+  display_name: "hammerhead"
+}
+item {
+  name: "n01496331"
+  label: 445
+  display_name: "electric_ray"
+}
+item {
+  name: "n01498041"
+  label: 446
+  display_name: "stingray"
+}
+item {
+  name: "n02514041"
+  label: 447
+  display_name: "barracouta"
+}
+item {
+  name: "n02536864"
+  label: 448
+  display_name: "coho"
+}
+item {
+  name: "n01440764"
+  label: 449
+  display_name: "tench"
+}
+item {
+  name: "n01443537"
+  label: 450
+  display_name: "goldfish"
+}
+item {
+  name: "n02526121"
+  label: 451
+  display_name: "eel"
+}
+item {
+  name: "n02606052"
+  label: 452
+  display_name: "rock_beauty"
+}
+item {
+  name: "n02607072"
+  label: 453
+  display_name: "anemone_fish"
+}
+item {
+  name: "n02643566"
+  label: 454
+  display_name: "lionfish"
+}
+item {
+  name: "n02655020"
+  label: 455
+  display_name: "puffer"
+}
+item {
+  name: "n02640242"
+  label: 456
+  display_name: "sturgeon"
+}
+item {
+  name: "n02641379"
+  label: 457
+  display_name: "gar"
+}
+item {
+  name: "n01664065"
+  label: 458
+  display_name: "loggerhead"
+}
+item {
+  name: "n01665541"
+  label: 459
+  display_name: "leatherback_turtle"
+}
+item {
+  name: "n01667114"
+  label: 460
+  display_name: "mud_turtle"
+}
+item {
+  name: "n01667778"
+  label: 461
+  display_name: "terrapin"
+}
+item {
+  name: "n01669191"
+  label: 462
+  display_name: "box_turtle"
+}
+item {
+  name: "n01675722"
+  label: 463
+  display_name: "banded_gecko"
+}
+item {
+  name: "n01677366"
+  label: 464
+  display_name: "common_iguana"
+}
+item {
+  name: "n01682714"
+  label: 465
+  display_name: "American_chameleon"
+}
+item {
+  name: "n01685808"
+  label: 466
+  display_name: "whiptail"
+}
+item {
+  name: "n01687978"
+  label: 467
+  display_name: "agama"
+}
+item {
+  name: "n01688243"
+  label: 468
+  display_name: "frilled_lizard"
+}
+item {
+  name: "n01689811"
+  label: 469
+  display_name: "alligator_lizard"
+}
+item {
+  name: "n01692333"
+  label: 470
+  display_name: "Gila_monster"
+}
+item {
+  name: "n01693334"
+  label: 471
+  display_name: "green_lizard"
+}
+item {
+  name: "n01694178"
+  label: 472
+  display_name: "African_chameleon"
+}
+item {
+  name: "n01695060"
+  label: 473
+  display_name: "Komodo_dragon"
+}
+item {
+  name: "n01704323"
+  label: 474
+  display_name: "triceratops"
+}
+item {
+  name: "n01697457"
+  label: 475
+  display_name: "African_crocodile"
+}
+item {
+  name: "n01698640"
+  label: 476
+  display_name: "American_alligator"
+}
+item {
+  name: "n01728572"
+  label: 477
+  display_name: "thunder_snake"
+}
+item {
+  name: "n01728920"
+  label: 478
+  display_name: "ringneck_snake"
+}
+item {
+  name: "n01729322"
+  label: 479
+  display_name: "hognose_snake"
+}
+item {
+  name: "n01729977"
+  label: 480
+  display_name: "green_snake"
+}
+item {
+  name: "n01734418"
+  label: 481
+  display_name: "king_snake"
+}
+item {
+  name: "n01735189"
+  label: 482
+  display_name: "garter_snake"
+}
+item {
+  name: "n01737021"
+  label: 483
+  display_name: "water_snake"
+}
+item {
+  name: "n01739381"
+  label: 484
+  display_name: "vine_snake"
+}
+item {
+  name: "n01740131"
+  label: 485
+  display_name: "night_snake"
+}
+item {
+  name: "n01742172"
+  label: 486
+  display_name: "boa_constrictor"
+}
+item {
+  name: "n01744401"
+  label: 487
+  display_name: "rock_python"
+}
+item {
+  name: "n01748264"
+  label: 488
+  display_name: "Indian_cobra"
+}
+item {
+  name: "n01749939"
+  label: 489
+  display_name: "green_mamba"
+}
+item {
+  name: "n01751748"
+  label: 490
+  display_name: "sea_snake"
+}
+item {
+  name: "n01753488"
+  label: 491
+  display_name: "horned_viper"
+}
+item {
+  name: "n01755581"
+  label: 492
+  display_name: "diamondback"
+}
+item {
+  name: "n01756291"
+  label: 493
+  display_name: "sidewinder"
+}
+item {
+  name: "n01629819"
+  label: 494
+  display_name: "European_fire_salamander"
+}
+item {
+  name: "n01630670"
+  label: 495
+  display_name: "common_newt"
+}
+item {
+  name: "n01631663"
+  label: 496
+  display_name: "eft"
+}
+item {
+  name: "n01632458"
+  label: 497
+  display_name: "spotted_salamander"
+}
+item {
+  name: "n01632777"
+  label: 498
+  display_name: "axolotl"
+}
+item {
+  name: "n01641577"
+  label: 499
+  display_name: "bullfrog"
+}
+item {
+  name: "n01644373"
+  label: 500
+  display_name: "tree_frog"
+}
+item {
+  name: "n01644900"
+  label: 501
+  display_name: "tailed_frog"
+}
+item {
+  name: "n04579432"
+  label: 502
+  display_name: "whistle"
+}
+item {
+  name: "n04592741"
+  label: 503
+  display_name: "wing"
+}
+item {
+  name: "n03876231"
+  label: 504
+  display_name: "paintbrush"
+}
+item {
+  name: "n03483316"
+  label: 505
+  display_name: "hand_blower"
+}
+item {
+  name: "n03868863"
+  label: 506
+  display_name: "oxygen_mask"
+}
+item {
+  name: "n04251144"
+  label: 507
+  display_name: "snorkel"
+}
+item {
+  name: "n03691459"
+  label: 508
+  display_name: "loudspeaker"
+}
+item {
+  name: "n03759954"
+  label: 509
+  display_name: "microphone"
+}
+item {
+  name: "n04152593"
+  label: 510
+  display_name: "screen"
+}
+item {
+  name: "n03793489"
+  label: 511
+  display_name: "mouse"
+}
+item {
+  name: "n03271574"
+  label: 512
+  display_name: "electric_fan"
+}
+item {
+  name: "n03843555"
+  label: 513
+  display_name: "oil_filter"
+}
+item {
+  name: "n04332243"
+  label: 514
+  display_name: "strainer"
+}
+item {
+  name: "n04265275"
+  label: 515
+  display_name: "space_heater"
+}
+item {
+  name: "n04330267"
+  label: 516
+  display_name: "stove"
+}
+item {
+  name: "n03467068"
+  label: 517
+  display_name: "guillotine"
+}
+item {
+  name: "n02794156"
+  label: 518
+  display_name: "barometer"
+}
+item {
+  name: "n04118776"
+  label: 519
+  display_name: "rule"
+}
+item {
+  name: "n03841143"
+  label: 520
+  display_name: "odometer"
+}
+item {
+  name: "n04141975"
+  label: 521
+  display_name: "scale"
+}
+item {
+  name: "n02708093"
+  label: 522
+  display_name: "analog_clock"
+}
+item {
+  name: "n03196217"
+  label: 523
+  display_name: "digital_clock"
+}
+item {
+  name: "n04548280"
+  label: 524
+  display_name: "wall_clock"
+}
+item {
+  name: "n03544143"
+  label: 525
+  display_name: "hourglass"
+}
+item {
+  name: "n04355338"
+  label: 526
+  display_name: "sundial"
+}
+item {
+  name: "n03891332"
+  label: 527
+  display_name: "parking_meter"
+}
+item {
+  name: "n04328186"
+  label: 528
+  display_name: "stopwatch"
+}
+item {
+  name: "n03197337"
+  label: 529
+  display_name: "digital_watch"
+}
+item {
+  name: "n04317175"
+  label: 530
+  display_name: "stethoscope"
+}
+item {
+  name: "n04376876"
+  label: 531
+  display_name: "syringe"
+}
+item {
+  name: "n03706229"
+  label: 532
+  display_name: "magnetic_compass"
+}
+item {
+  name: "n02841315"
+  label: 533
+  display_name: "binoculars"
+}
+item {
+  name: "n04009552"
+  label: 534
+  display_name: "projector"
+}
+item {
+  name: "n04356056"
+  label: 535
+  display_name: "sunglasses"
+}
+item {
+  name: "n03692522"
+  label: 536
+  display_name: "loupe"
+}
+item {
+  name: "n04044716"
+  label: 537
+  display_name: "radio_telescope"
+}
+item {
+  name: "n02879718"
+  label: 538
+  display_name: "bow"
+}
+item {
+  name: "n02950826"
+  label: 539
+  display_name: "cannon"
+}
+item {
+  name: "n02749479"
+  label: 540
+  display_name: "assault_rifle"
+}
+item {
+  name: "n04090263"
+  label: 541
+  display_name: "rifle"
+}
+item {
+  name: "n04008634"
+  label: 542
+  display_name: "projectile"
+}
+item {
+  name: "n03085013"
+  label: 543
+  display_name: "computer_keyboard"
+}
+item {
+  name: "n04505470"
+  label: 544
+  display_name: "typewriter_keyboard"
+}
+item {
+  name: "n03126707"
+  label: 545
+  display_name: "crane"
+}
+item {
+  name: "n03666591"
+  label: 546
+  display_name: "lighter"
+}
+item {
+  name: "n02666196"
+  label: 547
+  display_name: "abacus"
+}
+item {
+  name: "n02977058"
+  label: 548
+  display_name: "cash_machine"
+}
+item {
+  name: "n04238763"
+  label: 549
+  display_name: "slide_rule"
+}
+item {
+  name: "n03180011"
+  label: 550
+  display_name: "desktop_computer"
+}
+item {
+  name: "n03485407"
+  label: 551
+  display_name: "hand-held_computer"
+}
+item {
+  name: "n03832673"
+  label: 552
+  display_name: "notebook"
+}
+item {
+  name: "n06359193"
+  label: 553
+  display_name: "web_site"
+}
+item {
+  name: "n03496892"
+  label: 554
+  display_name: "harvester"
+}
+item {
+  name: "n04428191"
+  label: 555
+  display_name: "thresher"
+}
+item {
+  name: "n04004767"
+  label: 556
+  display_name: "printer"
+}
+item {
+  name: "n04243546"
+  label: 557
+  display_name: "slot"
+}
+item {
+  name: "n04525305"
+  label: 558
+  display_name: "vending_machine"
+}
+item {
+  name: "n04179913"
+  label: 559
+  display_name: "sewing_machine"
+}
+item {
+  name: "n03602883"
+  label: 560
+  display_name: "joystick"
+}
+item {
+  name: "n04372370"
+  label: 561
+  display_name: "switch"
+}
+item {
+  name: "n03532672"
+  label: 562
+  display_name: "hook"
+}
+item {
+  name: "n02974003"
+  label: 563
+  display_name: "car_wheel"
+}
+item {
+  name: "n03874293"
+  label: 564
+  display_name: "paddlewheel"
+}
+item {
+  name: "n03944341"
+  label: 565
+  display_name: "pinwheel"
+}
+item {
+  name: "n03992509"
+  label: 566
+  display_name: "potter\'s_wheel"
+}
+item {
+  name: "n03425413"
+  label: 567
+  display_name: "gas_pump"
+}
+item {
+  name: "n02966193"
+  label: 568
+  display_name: "carousel"
+}
+item {
+  name: "n04371774"
+  label: 569
+  display_name: "swing"
+}
+item {
+  name: "n04067472"
+  label: 570
+  display_name: "reel"
+}
+item {
+  name: "n04040759"
+  label: 571
+  display_name: "radiator"
+}
+item {
+  name: "n04019541"
+  label: 572
+  display_name: "puck"
+}
+item {
+  name: "n03492542"
+  label: 573
+  display_name: "hard_disc"
+}
+item {
+  name: "n04355933"
+  label: 574
+  display_name: "sunglass"
+}
+item {
+  name: "n03929660"
+  label: 575
+  display_name: "pick"
+}
+item {
+  name: "n02965783"
+  label: 576
+  display_name: "car_mirror"
+}
+item {
+  name: "n04258138"
+  label: 577
+  display_name: "solar_dish"
+}
+item {
+  name: "n04074963"
+  label: 578
+  display_name: "remote_control"
+}
+item {
+  name: "n03208938"
+  label: 579
+  display_name: "disk_brake"
+}
+item {
+  name: "n02910353"
+  label: 580
+  display_name: "buckle"
+}
+item {
+  name: "n03476684"
+  label: 581
+  display_name: "hair_slide"
+}
+item {
+  name: "n03627232"
+  label: 582
+  display_name: "knot"
+}
+item {
+  name: "n03075370"
+  label: 583
+  display_name: "combination_lock"
+}
+item {
+  name: "n03874599"
+  label: 584
+  display_name: "padlock"
+}
+item {
+  name: "n03804744"
+  label: 585
+  display_name: "nail"
+}
+item {
+  name: "n04127249"
+  label: 586
+  display_name: "safety_pin"
+}
+item {
+  name: "n04153751"
+  label: 587
+  display_name: "screw"
+}
+item {
+  name: "n03803284"
+  label: 588
+  display_name: "muzzle"
+}
+item {
+  name: "n04162706"
+  label: 589
+  display_name: "seat_belt"
+}
+item {
+  name: "n04228054"
+  label: 590
+  display_name: "ski"
+}
+item {
+  name: "n02948072"
+  label: 591
+  display_name: "candle"
+}
+item {
+  name: "n03590841"
+  label: 592
+  display_name: "jack-o\'-lantern"
+}
+item {
+  name: "n04286575"
+  label: 593
+  display_name: "spotlight"
+}
+item {
+  name: "n04456115"
+  label: 594
+  display_name: "torch"
+}
+item {
+  name: "n03814639"
+  label: 595
+  display_name: "neck_brace"
+}
+item {
+  name: "n03933933"
+  label: 596
+  display_name: "pier"
+}
+item {
+  name: "n04485082"
+  label: 597
+  display_name: "tripod"
+}
+item {
+  name: "n03733131"
+  label: 598
+  display_name: "maypole"
+}
+item {
+  name: "n03794056"
+  label: 599
+  display_name: "mousetrap"
+}
+item {
+  name: "n04275548"
+  label: 600
+  display_name: "spider_web"
+}
+item {
+  name: "n01768244"
+  label: 601
+  display_name: "trilobite"
+}
+item {
+  name: "n01770081"
+  label: 602
+  display_name: "harvestman"
+}
+item {
+  name: "n01770393"
+  label: 603
+  display_name: "scorpion"
+}
+item {
+  name: "n01773157"
+  label: 604
+  display_name: "black_and_gold_garden_spider"
+}
+item {
+  name: "n01773549"
+  label: 605
+  display_name: "barn_spider"
+}
+item {
+  name: "n01773797"
+  label: 606
+  display_name: "garden_spider"
+}
+item {
+  name: "n01774384"
+  label: 607
+  display_name: "black_widow"
+}
+item {
+  name: "n01774750"
+  label: 608
+  display_name: "tarantula"
+}
+item {
+  name: "n01775062"
+  label: 609
+  display_name: "wolf_spider"
+}
+item {
+  name: "n01776313"
+  label: 610
+  display_name: "tick"
+}
+item {
+  name: "n01784675"
+  label: 611
+  display_name: "centipede"
+}
+item {
+  name: "n01990800"
+  label: 612
+  display_name: "isopod"
+}
+item {
+  name: "n01978287"
+  label: 613
+  display_name: "Dungeness_crab"
+}
+item {
+  name: "n01978455"
+  label: 614
+  display_name: "rock_crab"
+}
+item {
+  name: "n01980166"
+  label: 615
+  display_name: "fiddler_crab"
+}
+item {
+  name: "n01981276"
+  label: 616
+  display_name: "king_crab"
+}
+item {
+  name: "n01983481"
+  label: 617
+  display_name: "American_lobster"
+}
+item {
+  name: "n01984695"
+  label: 618
+  display_name: "spiny_lobster"
+}
+item {
+  name: "n01985128"
+  label: 619
+  display_name: "crayfish"
+}
+item {
+  name: "n01986214"
+  label: 620
+  display_name: "hermit_crab"
+}
+item {
+  name: "n02165105"
+  label: 621
+  display_name: "tiger_beetle"
+}
+item {
+  name: "n02165456"
+  label: 622
+  display_name: "ladybug"
+}
+item {
+  name: "n02167151"
+  label: 623
+  display_name: "ground_beetle"
+}
+item {
+  name: "n02168699"
+  label: 624
+  display_name: "long-horned_beetle"
+}
+item {
+  name: "n02169497"
+  label: 625
+  display_name: "leaf_beetle"
+}
+item {
+  name: "n02172182"
+  label: 626
+  display_name: "dung_beetle"
+}
+item {
+  name: "n02174001"
+  label: 627
+  display_name: "rhinoceros_beetle"
+}
+item {
+  name: "n02177972"
+  label: 628
+  display_name: "weevil"
+}
+item {
+  name: "n02190166"
+  label: 629
+  display_name: "fly"
+}
+item {
+  name: "n02206856"
+  label: 630
+  display_name: "bee"
+}
+item {
+  name: "n02226429"
+  label: 631
+  display_name: "grasshopper"
+}
+item {
+  name: "n02229544"
+  label: 632
+  display_name: "cricket"
+}
+item {
+  name: "n02231487"
+  label: 633
+  display_name: "walking_stick"
+}
+item {
+  name: "n02233338"
+  label: 634
+  display_name: "cockroach"
+}
+item {
+  name: "n02236044"
+  label: 635
+  display_name: "mantis"
+}
+item {
+  name: "n02256656"
+  label: 636
+  display_name: "cicada"
+}
+item {
+  name: "n02259212"
+  label: 637
+  display_name: "leafhopper"
+}
+item {
+  name: "n02264363"
+  label: 638
+  display_name: "lacewing"
+}
+item {
+  name: "n02268443"
+  label: 639
+  display_name: "dragonfly"
+}
+item {
+  name: "n02268853"
+  label: 640
+  display_name: "damselfly"
+}
+item {
+  name: "n02276258"
+  label: 641
+  display_name: "admiral"
+}
+item {
+  name: "n02277742"
+  label: 642
+  display_name: "ringlet"
+}
+item {
+  name: "n02279972"
+  label: 643
+  display_name: "monarch"
+}
+item {
+  name: "n02280649"
+  label: 644
+  display_name: "cabbage_butterfly"
+}
+item {
+  name: "n02281406"
+  label: 645
+  display_name: "sulphur_butterfly"
+}
+item {
+  name: "n02281787"
+  label: 646
+  display_name: "lycaenid"
+}
+item {
+  name: "n01910747"
+  label: 647
+  display_name: "jellyfish"
+}
+item {
+  name: "n01914609"
+  label: 648
+  display_name: "sea_anemone"
+}
+item {
+  name: "n01917289"
+  label: 649
+  display_name: "brain_coral"
+}
+item {
+  name: "n01924916"
+  label: 650
+  display_name: "flatworm"
+}
+item {
+  name: "n01930112"
+  label: 651
+  display_name: "nematode"
+}
+item {
+  name: "n01943899"
+  label: 652
+  display_name: "conch"
+}
+item {
+  name: "n01944390"
+  label: 653
+  display_name: "snail"
+}
+item {
+  name: "n01945685"
+  label: 654
+  display_name: "slug"
+}
+item {
+  name: "n01950731"
+  label: 655
+  display_name: "sea_slug"
+}
+item {
+  name: "n01955084"
+  label: 656
+  display_name: "chiton"
+}
+item {
+  name: "n02319095"
+  label: 657
+  display_name: "sea_urchin"
+}
+item {
+  name: "n02321529"
+  label: 658
+  display_name: "sea_cucumber"
+}
+item {
+  name: "n03584829"
+  label: 659
+  display_name: "iron"
+}
+item {
+  name: "n03297495"
+  label: 660
+  display_name: "espresso_maker"
+}
+item {
+  name: "n03761084"
+  label: 661
+  display_name: "microwave"
+}
+item {
+  name: "n03259280"
+  label: 662
+  display_name: "Dutch_oven"
+}
+item {
+  name: "n04111531"
+  label: 663
+  display_name: "rotisserie"
+}
+item {
+  name: "n04442312"
+  label: 664
+  display_name: "toaster"
+}
+item {
+  name: "n04542943"
+  label: 665
+  display_name: "waffle_iron"
+}
+item {
+  name: "n04517823"
+  label: 666
+  display_name: "vacuum"
+}
+item {
+  name: "n03207941"
+  label: 667
+  display_name: "dishwasher"
+}
+item {
+  name: "n04070727"
+  label: 668
+  display_name: "refrigerator"
+}
+item {
+  name: "n04554684"
+  label: 669
+  display_name: "washer"
+}
+item {
+  name: "n03133878"
+  label: 670
+  display_name: "Crock_Pot"
+}
+item {
+  name: "n03400231"
+  label: 671
+  display_name: "frying_pan"
+}
+item {
+  name: "n04596742"
+  label: 672
+  display_name: "wok"
+}
+item {
+  name: "n02939185"
+  label: 673
+  display_name: "caldron"
+}
+item {
+  name: "n03063689"
+  label: 674
+  display_name: "coffeepot"
+}
+item {
+  name: "n04398044"
+  label: 675
+  display_name: "teapot"
+}
+item {
+  name: "n04270147"
+  label: 676
+  display_name: "spatula"
+}
+item {
+  name: "n02699494"
+  label: 677
+  display_name: "altar"
+}
+item {
+  name: "n04486054"
+  label: 678
+  display_name: "triumphal_arch"
+}
+item {
+  name: "n03899768"
+  label: 679
+  display_name: "patio"
+}
+item {
+  name: "n04311004"
+  label: 680
+  display_name: "steel_arch_bridge"
+}
+item {
+  name: "n04366367"
+  label: 681
+  display_name: "suspension_bridge"
+}
+item {
+  name: "n04532670"
+  label: 682
+  display_name: "viaduct"
+}
+item {
+  name: "n02793495"
+  label: 683
+  display_name: "barn"
+}
+item {
+  name: "n03457902"
+  label: 684
+  display_name: "greenhouse"
+}
+item {
+  name: "n03877845"
+  label: 685
+  display_name: "palace"
+}
+item {
+  name: "n03781244"
+  label: 686
+  display_name: "monastery"
+}
+item {
+  name: "n03661043"
+  label: 687
+  display_name: "library"
+}
+item {
+  name: "n02727426"
+  label: 688
+  display_name: "apiary"
+}
+item {
+  name: "n02859443"
+  label: 689
+  display_name: "boathouse"
+}
+item {
+  name: "n03028079"
+  label: 690
+  display_name: "church"
+}
+item {
+  name: "n03788195"
+  label: 691
+  display_name: "mosque"
+}
+item {
+  name: "n04346328"
+  label: 692
+  display_name: "stupa"
+}
+item {
+  name: "n03956157"
+  label: 693
+  display_name: "planetarium"
+}
+item {
+  name: "n04081281"
+  label: 694
+  display_name: "restaurant"
+}
+item {
+  name: "n03032252"
+  label: 695
+  display_name: "cinema"
+}
+item {
+  name: "n03529860"
+  label: 696
+  display_name: "home_theater"
+}
+item {
+  name: "n03697007"
+  label: 697
+  display_name: "lumbermill"
+}
+item {
+  name: "n03065424"
+  label: 698
+  display_name: "coil"
+}
+item {
+  name: "n03837869"
+  label: 699
+  display_name: "obelisk"
+}
+item {
+  name: "n04458633"
+  label: 700
+  display_name: "totem_pole"
+}
+item {
+  name: "n02980441"
+  label: 701
+  display_name: "castle"
+}
+item {
+  name: "n04005630"
+  label: 702
+  display_name: "prison"
+}
+item {
+  name: "n03461385"
+  label: 703
+  display_name: "grocery_store"
+}
+item {
+  name: "n02776631"
+  label: 704
+  display_name: "bakery"
+}
+item {
+  name: "n02791270"
+  label: 705
+  display_name: "barbershop"
+}
+item {
+  name: "n02871525"
+  label: 706
+  display_name: "bookshop"
+}
+item {
+  name: "n02927161"
+  label: 707
+  display_name: "butcher_shop"
+}
+item {
+  name: "n03089624"
+  label: 708
+  display_name: "confectionery"
+}
+item {
+  name: "n04200800"
+  label: 709
+  display_name: "shoe_shop"
+}
+item {
+  name: "n04443257"
+  label: 710
+  display_name: "tobacco_shop"
+}
+item {
+  name: "n04462240"
+  label: 711
+  display_name: "toyshop"
+}
+item {
+  name: "n03388043"
+  label: 712
+  display_name: "fountain"
+}
+item {
+  name: "n03042490"
+  label: 713
+  display_name: "cliff_dwelling"
+}
+item {
+  name: "n04613696"
+  label: 714
+  display_name: "yurt"
+}
+item {
+  name: "n03216828"
+  label: 715
+  display_name: "dock"
+}
+item {
+  name: "n02892201"
+  label: 716
+  display_name: "brass"
+}
+item {
+  name: "n03743016"
+  label: 717
+  display_name: "megalith"
+}
+item {
+  name: "n02788148"
+  label: 718
+  display_name: "bannister"
+}
+item {
+  name: "n02894605"
+  label: 719
+  display_name: "breakwater"
+}
+item {
+  name: "n03160309"
+  label: 720
+  display_name: "dam"
+}
+item {
+  name: "n03000134"
+  label: 721
+  display_name: "chainlink_fence"
+}
+item {
+  name: "n03930313"
+  label: 722
+  display_name: "picket_fence"
+}
+item {
+  name: "n04604644"
+  label: 723
+  display_name: "worm_fence"
+}
+item {
+  name: "n04326547"
+  label: 724
+  display_name: "stone_wall"
+}
+item {
+  name: "n03459775"
+  label: 725
+  display_name: "grille"
+}
+item {
+  name: "n04239074"
+  label: 726
+  display_name: "sliding_door"
+}
+item {
+  name: "n04501370"
+  label: 727
+  display_name: "turnstile"
+}
+item {
+  name: "n03792972"
+  label: 728
+  display_name: "mountain_tent"
+}
+item {
+  name: "n04149813"
+  label: 729
+  display_name: "scoreboard"
+}
+item {
+  name: "n03530642"
+  label: 730
+  display_name: "honeycomb"
+}
+item {
+  name: "n03961711"
+  label: 731
+  display_name: "plate_rack"
+}
+item {
+  name: "n03903868"
+  label: 732
+  display_name: "pedestal"
+}
+item {
+  name: "n02814860"
+  label: 733
+  display_name: "beacon"
+}
+item {
+  name: "n07711569"
+  label: 734
+  display_name: "mashed_potato"
+}
+item {
+  name: "n07720875"
+  label: 735
+  display_name: "bell_pepper"
+}
+item {
+  name: "n07714571"
+  label: 736
+  display_name: "head_cabbage"
+}
+item {
+  name: "n07714990"
+  label: 737
+  display_name: "broccoli"
+}
+item {
+  name: "n07715103"
+  label: 738
+  display_name: "cauliflower"
+}
+item {
+  name: "n07716358"
+  label: 739
+  display_name: "zucchini"
+}
+item {
+  name: "n07716906"
+  label: 740
+  display_name: "spaghetti_squash"
+}
+item {
+  name: "n07717410"
+  label: 741
+  display_name: "acorn_squash"
+}
+item {
+  name: "n07717556"
+  label: 742
+  display_name: "butternut_squash"
+}
+item {
+  name: "n07718472"
+  label: 743
+  display_name: "cucumber"
+}
+item {
+  name: "n07718747"
+  label: 744
+  display_name: "artichoke"
+}
+item {
+  name: "n07730033"
+  label: 745
+  display_name: "cardoon"
+}
+item {
+  name: "n07734744"
+  label: 746
+  display_name: "mushroom"
+}
+item {
+  name: "n04209239"
+  label: 747
+  display_name: "shower_curtain"
+}
+item {
+  name: "n03594734"
+  label: 748
+  display_name: "jean"
+}
+item {
+  name: "n02971356"
+  label: 749
+  display_name: "carton"
+}
+item {
+  name: "n03485794"
+  label: 750
+  display_name: "handkerchief"
+}
+item {
+  name: "n04133789"
+  label: 751
+  display_name: "sandal"
+}
+item {
+  name: "n02747177"
+  label: 752
+  display_name: "ashcan"
+}
+item {
+  name: "n04125021"
+  label: 753
+  display_name: "safe"
+}
+item {
+  name: "n07579787"
+  label: 754
+  display_name: "plate"
+}
+item {
+  name: "n03814906"
+  label: 755
+  display_name: "necklace"
+}
+item {
+  name: "n03134739"
+  label: 756
+  display_name: "croquet_ball"
+}
+item {
+  name: "n03404251"
+  label: 757
+  display_name: "fur_coat"
+}
+item {
+  name: "n04423845"
+  label: 758
+  display_name: "thimble"
+}
+item {
+  name: "n03877472"
+  label: 759
+  display_name: "pajama"
+}
+item {
+  name: "n04120489"
+  label: 760
+  display_name: "running_shoe"
+}
+item {
+  name: "n03062245"
+  label: 761
+  display_name: "cocktail_shaker"
+}
+item {
+  name: "n03014705"
+  label: 762
+  display_name: "chest"
+}
+item {
+  name: "n03717622"
+  label: 763
+  display_name: "manhole_cover"
+}
+item {
+  name: "n03777754"
+  label: 764
+  display_name: "modem"
+}
+item {
+  name: "n04493381"
+  label: 765
+  display_name: "tub"
+}
+item {
+  name: "n04476259"
+  label: 766
+  display_name: "tray"
+}
+item {
+  name: "n02777292"
+  label: 767
+  display_name: "balance_beam"
+}
+item {
+  name: "n07693725"
+  label: 768
+  display_name: "bagel"
+}
+item {
+  name: "n03998194"
+  label: 769
+  display_name: "prayer_rug"
+}
+item {
+  name: "n03617480"
+  label: 770
+  display_name: "kimono"
+}
+item {
+  name: "n07590611"
+  label: 771
+  display_name: "hot_pot"
+}
+item {
+  name: "n04579145"
+  label: 772
+  display_name: "whiskey_jug"
+}
+item {
+  name: "n03623198"
+  label: 773
+  display_name: "knee_pad"
+}
+item {
+  name: "n07248320"
+  label: 774
+  display_name: "book_jacket"
+}
+item {
+  name: "n04277352"
+  label: 775
+  display_name: "spindle"
+}
+item {
+  name: "n04229816"
+  label: 776
+  display_name: "ski_mask"
+}
+item {
+  name: "n02823428"
+  label: 777
+  display_name: "beer_bottle"
+}
+item {
+  name: "n03127747"
+  label: 778
+  display_name: "crash_helmet"
+}
+item {
+  name: "n02877765"
+  label: 779
+  display_name: "bottlecap"
+}
+item {
+  name: "n04435653"
+  label: 780
+  display_name: "tile_roof"
+}
+item {
+  name: "n03724870"
+  label: 781
+  display_name: "mask"
+}
+item {
+  name: "n03710637"
+  label: 782
+  display_name: "maillot"
+}
+item {
+  name: "n03920288"
+  label: 783
+  display_name: "Petri_dish"
+}
+item {
+  name: "n03379051"
+  label: 784
+  display_name: "football_helmet"
+}
+item {
+  name: "n02807133"
+  label: 785
+  display_name: "bathing_cap"
+}
+item {
+  name: "n04399382"
+  label: 786
+  display_name: "teddy"
+}
+item {
+  name: "n03527444"
+  label: 787
+  display_name: "holster"
+}
+item {
+  name: "n03983396"
+  label: 788
+  display_name: "pop_bottle"
+}
+item {
+  name: "n03924679"
+  label: 789
+  display_name: "photocopier"
+}
+item {
+  name: "n04532106"
+  label: 790
+  display_name: "vestment"
+}
+item {
+  name: "n06785654"
+  label: 791
+  display_name: "crossword_puzzle"
+}
+item {
+  name: "n03445777"
+  label: 792
+  display_name: "golf_ball"
+}
+item {
+  name: "n07613480"
+  label: 793
+  display_name: "trifle"
+}
+item {
+  name: "n04350905"
+  label: 794
+  display_name: "suit"
+}
+item {
+  name: "n04562935"
+  label: 795
+  display_name: "water_tower"
+}
+item {
+  name: "n03325584"
+  label: 796
+  display_name: "feather_boa"
+}
+item {
+  name: "n03045698"
+  label: 797
+  display_name: "cloak"
+}
+item {
+  name: "n07892512"
+  label: 798
+  display_name: "red_wine"
+}
+item {
+  name: "n03250847"
+  label: 799
+  display_name: "drumstick"
+}
+item {
+  name: "n04192698"
+  label: 800
+  display_name: "shield"
+}
+item {
+  name: "n03026506"
+  label: 801
+  display_name: "Christmas_stocking"
+}
+item {
+  name: "n03534580"
+  label: 802
+  display_name: "hoopskirt"
+}
+item {
+  name: "n07565083"
+  label: 803
+  display_name: "menu"
+}
+item {
+  name: "n04296562"
+  label: 804
+  display_name: "stage"
+}
+item {
+  name: "n02869837"
+  label: 805
+  display_name: "bonnet"
+}
+item {
+  name: "n07871810"
+  label: 806
+  display_name: "meat_loaf"
+}
+item {
+  name: "n02799071"
+  label: 807
+  display_name: "baseball"
+}
+item {
+  name: "n03314780"
+  label: 808
+  display_name: "face_powder"
+}
+item {
+  name: "n04141327"
+  label: 809
+  display_name: "scabbard"
+}
+item {
+  name: "n04357314"
+  label: 810
+  display_name: "sunscreen"
+}
+item {
+  name: "n02823750"
+  label: 811
+  display_name: "beer_glass"
+}
+item {
+  name: "n13052670"
+  label: 812
+  display_name: "hen-of-the-woods"
+}
+item {
+  name: "n07583066"
+  label: 813
+  display_name: "guacamole"
+}
+item {
+  name: "n03637318"
+  label: 814
+  display_name: "lampshade"
+}
+item {
+  name: "n04599235"
+  label: 815
+  display_name: "wool"
+}
+item {
+  name: "n07802026"
+  label: 816
+  display_name: "hay"
+}
+item {
+  name: "n02883205"
+  label: 817
+  display_name: "bow_tie"
+}
+item {
+  name: "n03709823"
+  label: 818
+  display_name: "mailbag"
+}
+item {
+  name: "n04560804"
+  label: 819
+  display_name: "water_jug"
+}
+item {
+  name: "n02909870"
+  label: 820
+  display_name: "bucket"
+}
+item {
+  name: "n03207743"
+  label: 821
+  display_name: "dishrag"
+}
+item {
+  name: "n04263257"
+  label: 822
+  display_name: "soup_bowl"
+}
+item {
+  name: "n07932039"
+  label: 823
+  display_name: "eggnog"
+}
+item {
+  name: "n03786901"
+  label: 824
+  display_name: "mortar"
+}
+item {
+  name: "n04479046"
+  label: 825
+  display_name: "trench_coat"
+}
+item {
+  name: "n03873416"
+  label: 826
+  display_name: "paddle"
+}
+item {
+  name: "n02999410"
+  label: 827
+  display_name: "chain"
+}
+item {
+  name: "n04367480"
+  label: 828
+  display_name: "swab"
+}
+item {
+  name: "n03775546"
+  label: 829
+  display_name: "mixing_bowl"
+}
+item {
+  name: "n07875152"
+  label: 830
+  display_name: "potpie"
+}
+item {
+  name: "n04591713"
+  label: 831
+  display_name: "wine_bottle"
+}
+item {
+  name: "n04201297"
+  label: 832
+  display_name: "shoji"
+}
+item {
+  name: "n02916936"
+  label: 833
+  display_name: "bulletproof_vest"
+}
+item {
+  name: "n03240683"
+  label: 834
+  display_name: "drilling_platform"
+}
+item {
+  name: "n02840245"
+  label: 835
+  display_name: "binder"
+}
+item {
+  name: "n02963159"
+  label: 836
+  display_name: "cardigan"
+}
+item {
+  name: "n04370456"
+  label: 837
+  display_name: "sweatshirt"
+}
+item {
+  name: "n03991062"
+  label: 838
+  display_name: "pot"
+}
+item {
+  name: "n02843684"
+  label: 839
+  display_name: "birdhouse"
+}
+item {
+  name: "n03482405"
+  label: 840
+  display_name: "hamper"
+}
+item {
+  name: "n03942813"
+  label: 841
+  display_name: "ping-pong_ball"
+}
+item {
+  name: "n03908618"
+  label: 842
+  display_name: "pencil_box"
+}
+item {
+  name: "n03902125"
+  label: 843
+  display_name: "pay-phone"
+}
+item {
+  name: "n07584110"
+  label: 844
+  display_name: "consomme"
+}
+item {
+  name: "n02730930"
+  label: 845
+  display_name: "apron"
+}
+item {
+  name: "n04023962"
+  label: 846
+  display_name: "punching_bag"
+}
+item {
+  name: "n02769748"
+  label: 847
+  display_name: "backpack"
+}
+item {
+  name: "n10148035"
+  label: 848
+  display_name: "groom"
+}
+item {
+  name: "n02817516"
+  label: 849
+  display_name: "bearskin"
+}
+item {
+  name: "n03908714"
+  label: 850
+  display_name: "pencil_sharpener"
+}
+item {
+  name: "n02906734"
+  label: 851
+  display_name: "broom"
+}
+item {
+  name: "n03788365"
+  label: 852
+  display_name: "mosquito_net"
+}
+item {
+  name: "n02667093"
+  label: 853
+  display_name: "abaya"
+}
+item {
+  name: "n03787032"
+  label: 854
+  display_name: "mortarboard"
+}
+item {
+  name: "n03980874"
+  label: 855
+  display_name: "poncho"
+}
+item {
+  name: "n03141823"
+  label: 856
+  display_name: "crutch"
+}
+item {
+  name: "n03976467"
+  label: 857
+  display_name: "Polaroid_camera"
+}
+item {
+  name: "n04264628"
+  label: 858
+  display_name: "space_bar"
+}
+item {
+  name: "n07930864"
+  label: 859
+  display_name: "cup"
+}
+item {
+  name: "n04039381"
+  label: 860
+  display_name: "racket"
+}
+item {
+  name: "n06874185"
+  label: 861
+  display_name: "traffic_light"
+}
+item {
+  name: "n04033901"
+  label: 862
+  display_name: "quill"
+}
+item {
+  name: "n04041544"
+  label: 863
+  display_name: "radio"
+}
+item {
+  name: "n07860988"
+  label: 864
+  display_name: "dough"
+}
+item {
+  name: "n03146219"
+  label: 865
+  display_name: "cuirass"
+}
+item {
+  name: "n03763968"
+  label: 866
+  display_name: "military_uniform"
+}
+item {
+  name: "n03676483"
+  label: 867
+  display_name: "lipstick"
+}
+item {
+  name: "n04209133"
+  label: 868
+  display_name: "shower_cap"
+}
+item {
+  name: "n03782006"
+  label: 869
+  display_name: "monitor"
+}
+item {
+  name: "n03857828"
+  label: 870
+  display_name: "oscilloscope"
+}
+item {
+  name: "n03775071"
+  label: 871
+  display_name: "mitten"
+}
+item {
+  name: "n02892767"
+  label: 872
+  display_name: "brassiere"
+}
+item {
+  name: "n07684084"
+  label: 873
+  display_name: "French_loaf"
+}
+item {
+  name: "n04522168"
+  label: 874
+  display_name: "vase"
+}
+item {
+  name: "n03764736"
+  label: 875
+  display_name: "milk_can"
+}
+item {
+  name: "n04118538"
+  label: 876
+  display_name: "rugby_ball"
+}
+item {
+  name: "n03887697"
+  label: 877
+  display_name: "paper_towel"
+}
+item {
+  name: "n13044778"
+  label: 878
+  display_name: "earthstar"
+}
+item {
+  name: "n03291819"
+  label: 879
+  display_name: "envelope"
+}
+item {
+  name: "n03770439"
+  label: 880
+  display_name: "miniskirt"
+}
+item {
+  name: "n03124170"
+  label: 881
+  display_name: "cowboy_hat"
+}
+item {
+  name: "n04487081"
+  label: 882
+  display_name: "trolleybus"
+}
+item {
+  name: "n03916031"
+  label: 883
+  display_name: "perfume"
+}
+item {
+  name: "n02808440"
+  label: 884
+  display_name: "bathtub"
+}
+item {
+  name: "n07697537"
+  label: 885
+  display_name: "hotdog"
+}
+item {
+  name: "n12985857"
+  label: 886
+  display_name: "coral_fungus"
+}
+item {
+  name: "n02917067"
+  label: 887
+  display_name: "bullet_train"
+}
+item {
+  name: "n03938244"
+  label: 888
+  display_name: "pillow"
+}
+item {
+  name: "n15075141"
+  label: 889
+  display_name: "toilet_tissue"
+}
+item {
+  name: "n02978881"
+  label: 890
+  display_name: "cassette"
+}
+item {
+  name: "n02966687"
+  label: 891
+  display_name: "carpenter\'s_kit"
+}
+item {
+  name: "n03633091"
+  label: 892
+  display_name: "ladle"
+}
+item {
+  name: "n13040303"
+  label: 893
+  display_name: "stinkhorn"
+}
+item {
+  name: "n03690938"
+  label: 894
+  display_name: "lotion"
+}
+item {
+  name: "n03476991"
+  label: 895
+  display_name: "hair_spray"
+}
+item {
+  name: "n02669723"
+  label: 896
+  display_name: "academic_gown"
+}
+item {
+  name: "n03220513"
+  label: 897
+  display_name: "dome"
+}
+item {
+  name: "n03127925"
+  label: 898
+  display_name: "crate"
+}
+item {
+  name: "n04584207"
+  label: 899
+  display_name: "wig"
+}
+item {
+  name: "n07880968"
+  label: 900
+  display_name: "burrito"
+}
+item {
+  name: "n03937543"
+  label: 901
+  display_name: "pill_bottle"
+}
+item {
+  name: "n03000247"
+  label: 902
+  display_name: "chain_mail"
+}
+item {
+  name: "n04418357"
+  label: 903
+  display_name: "theater_curtain"
+}
+item {
+  name: "n04590129"
+  label: 904
+  display_name: "window_shade"
+}
+item {
+  name: "n02795169"
+  label: 905
+  display_name: "barrel"
+}
+item {
+  name: "n04553703"
+  label: 906
+  display_name: "washbasin"
+}
+item {
+  name: "n02783161"
+  label: 907
+  display_name: "ballpoint"
+}
+item {
+  name: "n02802426"
+  label: 908
+  display_name: "basketball"
+}
+item {
+  name: "n02808304"
+  label: 909
+  display_name: "bath_towel"
+}
+item {
+  name: "n03124043"
+  label: 910
+  display_name: "cowboy_boot"
+}
+item {
+  name: "n03450230"
+  label: 911
+  display_name: "gown"
+}
+item {
+  name: "n04589890"
+  label: 912
+  display_name: "window_screen"
+}
+item {
+  name: "n12998815"
+  label: 913
+  display_name: "agaric"
+}
+item {
+  name: "n02992529"
+  label: 914
+  display_name: "cellular_telephone"
+}
+item {
+  name: "n03825788"
+  label: 915
+  display_name: "nipple"
+}
+item {
+  name: "n02790996"
+  label: 916
+  display_name: "barbell"
+}
+item {
+  name: "n03710193"
+  label: 917
+  display_name: "mailbox"
+}
+item {
+  name: "n03630383"
+  label: 918
+  display_name: "lab_coat"
+}
+item {
+  name: "n03347037"
+  label: 919
+  display_name: "fire_screen"
+}
+item {
+  name: "n03769881"
+  label: 920
+  display_name: "minibus"
+}
+item {
+  name: "n03871628"
+  label: 921
+  display_name: "packet"
+}
+item {
+  name: "n03733281"
+  label: 922
+  display_name: "maze"
+}
+item {
+  name: "n03976657"
+  label: 923
+  display_name: "pole"
+}
+item {
+  name: "n03535780"
+  label: 924
+  display_name: "horizontal_bar"
+}
+item {
+  name: "n04259630"
+  label: 925
+  display_name: "sombrero"
+}
+item {
+  name: "n03929855"
+  label: 926
+  display_name: "pickelhaube"
+}
+item {
+  name: "n04049303"
+  label: 927
+  display_name: "rain_barrel"
+}
+item {
+  name: "n04548362"
+  label: 928
+  display_name: "wallet"
+}
+item {
+  name: "n02979186"
+  label: 929
+  display_name: "cassette_player"
+}
+item {
+  name: "n06596364"
+  label: 930
+  display_name: "comic_book"
+}
+item {
+  name: "n03935335"
+  label: 931
+  display_name: "piggy_bank"
+}
+item {
+  name: "n06794110"
+  label: 932
+  display_name: "street_sign"
+}
+item {
+  name: "n02825657"
+  label: 933
+  display_name: "bell_cote"
+}
+item {
+  name: "n03388183"
+  label: 934
+  display_name: "fountain_pen"
+}
+item {
+  name: "n04591157"
+  label: 935
+  display_name: "Windsor_tie"
+}
+item {
+  name: "n04540053"
+  label: 936
+  display_name: "volleyball"
+}
+item {
+  name: "n03866082"
+  label: 937
+  display_name: "overskirt"
+}
+item {
+  name: "n04136333"
+  label: 938
+  display_name: "sarong"
+}
+item {
+  name: "n04026417"
+  label: 939
+  display_name: "purse"
+}
+item {
+  name: "n02865351"
+  label: 940
+  display_name: "bolo_tie"
+}
+item {
+  name: "n02834397"
+  label: 941
+  display_name: "bib"
+}
+item {
+  name: "n03888257"
+  label: 942
+  display_name: "parachute"
+}
+item {
+  name: "n04235860"
+  label: 943
+  display_name: "sleeping_bag"
+}
+item {
+  name: "n04404412"
+  label: 944
+  display_name: "television"
+}
+item {
+  name: "n04371430"
+  label: 945
+  display_name: "swimming_trunks"
+}
+item {
+  name: "n03733805"
+  label: 946
+  display_name: "measuring_cup"
+}
+item {
+  name: "n07920052"
+  label: 947
+  display_name: "espresso"
+}
+item {
+  name: "n07873807"
+  label: 948
+  display_name: "pizza"
+}
+item {
+  name: "n02895154"
+  label: 949
+  display_name: "breastplate"
+}
+item {
+  name: "n04204238"
+  label: 950
+  display_name: "shopping_basket"
+}
+item {
+  name: "n04597913"
+  label: 951
+  display_name: "wooden_spoon"
+}
+item {
+  name: "n04131690"
+  label: 952
+  display_name: "saltshaker"
+}
+item {
+  name: "n07836838"
+  label: 953
+  display_name: "chocolate_sauce"
+}
+item {
+  name: "n09835506"
+  label: 954
+  display_name: "ballplayer"
+}
+item {
+  name: "n03443371"
+  label: 955
+  display_name: "goblet"
+}
+item {
+  name: "n13037406"
+  label: 956
+  display_name: "gyromitra"
+}
+item {
+  name: "n04336792"
+  label: 957
+  display_name: "stretcher"
+}
+item {
+  name: "n04557648"
+  label: 958
+  display_name: "water_bottle"
+}
+item {
+  name: "n03187595"
+  label: 959
+  display_name: "dial_telephone"
+}
+item {
+  name: "n04254120"
+  label: 960
+  display_name: "soap_dispenser"
+}
+item {
+  name: "n03595614"
+  label: 961
+  display_name: "jersey"
+}
+item {
+  name: "n04146614"
+  label: 962
+  display_name: "school_bus"
+}
+item {
+  name: "n03598930"
+  label: 963
+  display_name: "jigsaw_puzzle"
+}
+item {
+  name: "n03958227"
+  label: 964
+  display_name: "plastic_bag"
+}
+item {
+  name: "n04069434"
+  label: 965
+  display_name: "reflex_camera"
+}
+item {
+  name: "n03188531"
+  label: 966
+  display_name: "diaper"
+}
+item {
+  name: "n02786058"
+  label: 967
+  display_name: "Band_Aid"
+}
+item {
+  name: "n07615774"
+  label: 968
+  display_name: "ice_lolly"
+}
+item {
+  name: "n04525038"
+  label: 969
+  display_name: "velvet"
+}
+item {
+  name: "n04409515"
+  label: 970
+  display_name: "tennis_ball"
+}
+item {
+  name: "n03424325"
+  label: 971
+  display_name: "gasmask"
+}
+item {
+  name: "n03223299"
+  label: 972
+  display_name: "doormat"
+}
+item {
+  name: "n03680355"
+  label: 973
+  display_name: "Loafer"
+}
+item {
+  name: "n07614500"
+  label: 974
+  display_name: "ice_cream"
+}
+item {
+  name: "n07695742"
+  label: 975
+  display_name: "pretzel"
+}
+item {
+  name: "n04033995"
+  label: 976
+  display_name: "quilt"
+}
+item {
+  name: "n03710721"
+  label: 977
+  display_name: "maillot"
+}
+item {
+  name: "n04392985"
+  label: 978
+  display_name: "tape_player"
+}
+item {
+  name: "n03047690"
+  label: 979
+  display_name: "clog"
+}
+item {
+  name: "n03584254"
+  label: 980
+  display_name: "iPod"
+}
+item {
+  name: "n13054560"
+  label: 981
+  display_name: "bolete"
+}
+item {
+  name: "n10565667"
+  label: 982
+  display_name: "scuba_diver"
+}
+item {
+  name: "n03950228"
+  label: 983
+  display_name: "pitcher"
+}
+item {
+  name: "n03729826"
+  label: 984
+  display_name: "matchstick"
+}
+item {
+  name: "n02837789"
+  label: 985
+  display_name: "bikini"
+}
+item {
+  name: "n04254777"
+  label: 986
+  display_name: "sock"
+}
+item {
+  name: "n02988304"
+  label: 987
+  display_name: "CD_player"
+}
+item {
+  name: "n03657121"
+  label: 988
+  display_name: "lens_cap"
+}
+item {
+  name: "n04417672"
+  label: 989
+  display_name: "thatch"
+}
+item {
+  name: "n04523525"
+  label: 990
+  display_name: "vault"
+}
+item {
+  name: "n02815834"
+  label: 991
+  display_name: "beaker"
+}
+item {
+  name: "n09229709"
+  label: 992
+  display_name: "bubble"
+}
+item {
+  name: "n07697313"
+  label: 993
+  display_name: "cheeseburger"
+}
+item {
+  name: "n03888605"
+  label: 994
+  display_name: "parallel_bars"
+}
+item {
+  name: "n03355925"
+  label: 995
+  display_name: "flagpole"
+}
+item {
+  name: "n03063599"
+  label: 996
+  display_name: "coffee_mug"
+}
+item {
+  name: "n04116512"
+  label: 997
+  display_name: "rubber_eraser"
+}
+item {
+  name: "n04325704"
+  label: 998
+  display_name: "stole"
+}
+item {
+  name: "n07831146"
+  label: 999
+  display_name: "carbonara"
+}
+item {
+  name: "n03255030"
+  label: 1000
+  display_name: "dumbbell"
+}
diff --git a/data/ILSVRC2016/labelmap_ilsvrc_det.prototxt b/data/ILSVRC2016/labelmap_ilsvrc_det.prototxt
new file mode 100644
index 00000000000..54c493e340f
--- /dev/null
+++ b/data/ILSVRC2016/labelmap_ilsvrc_det.prototxt
@@ -0,0 +1,1005 @@
+item {
+  name: "none_of_the_above"
+  label: 0
+  display_name: "background"
+}
+item {
+  name: "n02672831"
+  label: 1
+  display_name: "accordion"
+}
+item {
+  name: "n02691156"
+  label: 2
+  display_name: "airplane"
+}
+item {
+  name: "n02219486"
+  label: 3
+  display_name: "ant"
+}
+item {
+  name: "n02419796"
+  label: 4
+  display_name: "antelope"
+}
+item {
+  name: "n07739125"
+  label: 5
+  display_name: "apple"
+}
+item {
+  name: "n02454379"
+  label: 6
+  display_name: "armadillo"
+}
+item {
+  name: "n07718747"
+  label: 7
+  display_name: "artichoke"
+}
+item {
+  name: "n02764044"
+  label: 8
+  display_name: "axe"
+}
+item {
+  name: "n02766320"
+  label: 9
+  display_name: "baby_bed"
+}
+item {
+  name: "n02769748"
+  label: 10
+  display_name: "backpack"
+}
+item {
+  name: "n07693725"
+  label: 11
+  display_name: "bagel"
+}
+item {
+  name: "n02777292"
+  label: 12
+  display_name: "balance_beam"
+}
+item {
+  name: "n07753592"
+  label: 13
+  display_name: "banana"
+}
+item {
+  name: "n02786058"
+  label: 14
+  display_name: "band_aid"
+}
+item {
+  name: "n02787622"
+  label: 15
+  display_name: "banjo"
+}
+item {
+  name: "n02799071"
+  label: 16
+  display_name: "baseball"
+}
+item {
+  name: "n02802426"
+  label: 17
+  display_name: "basketball"
+}
+item {
+  name: "n02807133"
+  label: 18
+  display_name: "bathing_cap"
+}
+item {
+  name: "n02815834"
+  label: 19
+  display_name: "beaker"
+}
+item {
+  name: "n02131653"
+  label: 20
+  display_name: "bear"
+}
+item {
+  name: "n02206856"
+  label: 21
+  display_name: "bee"
+}
+item {
+  name: "n07720875"
+  label: 22
+  display_name: "bell_pepper"
+}
+item {
+  name: "n02828884"
+  label: 23
+  display_name: "bench"
+}
+item {
+  name: "n02834778"
+  label: 24
+  display_name: "bicycle"
+}
+item {
+  name: "n02840245"
+  label: 25
+  display_name: "binder"
+}
+item {
+  name: "n01503061"
+  label: 26
+  display_name: "bird"
+}
+item {
+  name: "n02870880"
+  label: 27
+  display_name: "bookshelf"
+}
+item {
+  name: "n02883205"
+  label: 28
+  display_name: "bow_tie"
+}
+item {
+  name: "n02879718"
+  label: 29
+  display_name: "bow"
+}
+item {
+  name: "n02880940"
+  label: 30
+  display_name: "bowl"
+}
+item {
+  name: "n02892767"
+  label: 31
+  display_name: "brassiere"
+}
+item {
+  name: "n07880968"
+  label: 32
+  display_name: "burrito"
+}
+item {
+  name: "n02924116"
+  label: 33
+  display_name: "bus"
+}
+item {
+  name: "n02274259"
+  label: 34
+  display_name: "butterfly"
+}
+item {
+  name: "n02437136"
+  label: 35
+  display_name: "camel"
+}
+item {
+  name: "n02951585"
+  label: 36
+  display_name: "can_opener"
+}
+item {
+  name: "n02958343"
+  label: 37
+  display_name: "car"
+}
+item {
+  name: "n02970849"
+  label: 38
+  display_name: "cart"
+}
+item {
+  name: "n02402425"
+  label: 39
+  display_name: "cattle"
+}
+item {
+  name: "n02992211"
+  label: 40
+  display_name: "cello"
+}
+item {
+  name: "n01784675"
+  label: 41
+  display_name: "centipede"
+}
+item {
+  name: "n03000684"
+  label: 42
+  display_name: "chain_saw"
+}
+item {
+  name: "n03001627"
+  label: 43
+  display_name: "chair"
+}
+item {
+  name: "n03017168"
+  label: 44
+  display_name: "chime"
+}
+item {
+  name: "n03062245"
+  label: 45
+  display_name: "cocktail_shaker"
+}
+item {
+  name: "n03063338"
+  label: 46
+  display_name: "coffee_maker"
+}
+item {
+  name: "n03085013"
+  label: 47
+  display_name: "computer_keyboard"
+}
+item {
+  name: "n03793489"
+  label: 48
+  display_name: "computer_mouse"
+}
+item {
+  name: "n03109150"
+  label: 49
+  display_name: "corkscrew"
+}
+item {
+  name: "n03128519"
+  label: 50
+  display_name: "cream"
+}
+item {
+  name: "n03134739"
+  label: 51
+  display_name: "croquet_ball"
+}
+item {
+  name: "n03141823"
+  label: 52
+  display_name: "crutch"
+}
+item {
+  name: "n07718472"
+  label: 53
+  display_name: "cucumber"
+}
+item {
+  name: "n03797390"
+  label: 54
+  display_name: "cup_or_mug"
+}
+item {
+  name: "n03188531"
+  label: 55
+  display_name: "diaper"
+}
+item {
+  name: "n03196217"
+  label: 56
+  display_name: "digital_clock"
+}
+item {
+  name: "n03207941"
+  label: 57
+  display_name: "dishwasher"
+}
+item {
+  name: "n02084071"
+  label: 58
+  display_name: "dog"
+}
+item {
+  name: "n02121808"
+  label: 59
+  display_name: "domestic_cat"
+}
+item {
+  name: "n02268443"
+  label: 60
+  display_name: "dragonfly"
+}
+item {
+  name: "n03249569"
+  label: 61
+  display_name: "drum"
+}
+item {
+  name: "n03255030"
+  label: 62
+  display_name: "dumbbell"
+}
+item {
+  name: "n03271574"
+  label: 63
+  display_name: "electric_fan"
+}
+item {
+  name: "n02503517"
+  label: 64
+  display_name: "elephant"
+}
+item {
+  name: "n03314780"
+  label: 65
+  display_name: "face_powder"
+}
+item {
+  name: "n07753113"
+  label: 66
+  display_name: "fig"
+}
+item {
+  name: "n03337140"
+  label: 67
+  display_name: "filing_cabinet"
+}
+item {
+  name: "n03991062"
+  label: 68
+  display_name: "flower_pot"
+}
+item {
+  name: "n03372029"
+  label: 69
+  display_name: "flute"
+}
+item {
+  name: "n02118333"
+  label: 70
+  display_name: "fox"
+}
+item {
+  name: "n03394916"
+  label: 71
+  display_name: "french_horn"
+}
+item {
+  name: "n01639765"
+  label: 72
+  display_name: "frog"
+}
+item {
+  name: "n03400231"
+  label: 73
+  display_name: "frying_pan"
+}
+item {
+  name: "n02510455"
+  label: 74
+  display_name: "giant_panda"
+}
+item {
+  name: "n01443537"
+  label: 75
+  display_name: "goldfish"
+}
+item {
+  name: "n03445777"
+  label: 76
+  display_name: "golf_ball"
+}
+item {
+  name: "n03445924"
+  label: 77
+  display_name: "golfcart"
+}
+item {
+  name: "n07583066"
+  label: 78
+  display_name: "guacamole"
+}
+item {
+  name: "n03467517"
+  label: 79
+  display_name: "guitar"
+}
+item {
+  name: "n03483316"
+  label: 80
+  display_name: "hair_dryer"
+}
+item {
+  name: "n03476991"
+  label: 81
+  display_name: "hair_spray"
+}
+item {
+  name: "n07697100"
+  label: 82
+  display_name: "hamburger"
+}
+item {
+  name: "n03481172"
+  label: 83
+  display_name: "hammer"
+}
+item {
+  name: "n02342885"
+  label: 84
+  display_name: "hamster"
+}
+item {
+  name: "n03494278"
+  label: 85
+  display_name: "harmonica"
+}
+item {
+  name: "n03495258"
+  label: 86
+  display_name: "harp"
+}
+item {
+  name: "n03124170"
+  label: 87
+  display_name: "hat_with_a_wide_brim"
+}
+item {
+  name: "n07714571"
+  label: 88
+  display_name: "head_cabbage"
+}
+item {
+  name: "n03513137"
+  label: 89
+  display_name: "helmet"
+}
+item {
+  name: "n02398521"
+  label: 90
+  display_name: "hippopotamus"
+}
+item {
+  name: "n03535780"
+  label: 91
+  display_name: "horizontal_bar"
+}
+item {
+  name: "n02374451"
+  label: 92
+  display_name: "horse"
+}
+item {
+  name: "n07697537"
+  label: 93
+  display_name: "hotdog"
+}
+item {
+  name: "n03584254"
+  label: 94
+  display_name: "iPod"
+}
+item {
+  name: "n01990800"
+  label: 95
+  display_name: "isopod"
+}
+item {
+  name: "n01910747"
+  label: 96
+  display_name: "jellyfish"
+}
+item {
+  name: "n01882714"
+  label: 97
+  display_name: "koala_bear"
+}
+item {
+  name: "n03633091"
+  label: 98
+  display_name: "ladle"
+}
+item {
+  name: "n02165456"
+  label: 99
+  display_name: "ladybug"
+}
+item {
+  name: "n03636649"
+  label: 100
+  display_name: "lamp"
+}
+item {
+  name: "n03642806"
+  label: 101
+  display_name: "laptop"
+}
+item {
+  name: "n07749582"
+  label: 102
+  display_name: "lemon"
+}
+item {
+  name: "n02129165"
+  label: 103
+  display_name: "lion"
+}
+item {
+  name: "n03676483"
+  label: 104
+  display_name: "lipstick"
+}
+item {
+  name: "n01674464"
+  label: 105
+  display_name: "lizard"
+}
+item {
+  name: "n01982650"
+  label: 106
+  display_name: "lobster"
+}
+item {
+  name: "n03710721"
+  label: 107
+  display_name: "maillot"
+}
+item {
+  name: "n03720891"
+  label: 108
+  display_name: "maraca"
+}
+item {
+  name: "n03759954"
+  label: 109
+  display_name: "microphone"
+}
+item {
+  name: "n03761084"
+  label: 110
+  display_name: "microwave"
+}
+item {
+  name: "n03764736"
+  label: 111
+  display_name: "milk_can"
+}
+item {
+  name: "n03770439"
+  label: 112
+  display_name: "miniskirt"
+}
+item {
+  name: "n02484322"
+  label: 113
+  display_name: "monkey"
+}
+item {
+  name: "n03790512"
+  label: 114
+  display_name: "motorcycle"
+}
+item {
+  name: "n07734744"
+  label: 115
+  display_name: "mushroom"
+}
+item {
+  name: "n03804744"
+  label: 116
+  display_name: "nail"
+}
+item {
+  name: "n03814639"
+  label: 117
+  display_name: "neck_brace"
+}
+item {
+  name: "n03838899"
+  label: 118
+  display_name: "oboe"
+}
+item {
+  name: "n07747607"
+  label: 119
+  display_name: "orange"
+}
+item {
+  name: "n02444819"
+  label: 120
+  display_name: "otter"
+}
+item {
+  name: "n03908618"
+  label: 121
+  display_name: "pencil_box"
+}
+item {
+  name: "n03908714"
+  label: 122
+  display_name: "pencil_sharpener"
+}
+item {
+  name: "n03916031"
+  label: 123
+  display_name: "perfume"
+}
+item {
+  name: "n00007846"
+  label: 124
+  display_name: "person"
+}
+item {
+  name: "n03928116"
+  label: 125
+  display_name: "piano"
+}
+item {
+  name: "n07753275"
+  label: 126
+  display_name: "pineapple"
+}
+item {
+  name: "n03942813"
+  label: 127
+  display_name: "ping-pong_ball"
+}
+item {
+  name: "n03950228"
+  label: 128
+  display_name: "pitcher"
+}
+item {
+  name: "n07873807"
+  label: 129
+  display_name: "pizza"
+}
+item {
+  name: "n03958227"
+  label: 130
+  display_name: "plastic_bag"
+}
+item {
+  name: "n03961711"
+  label: 131
+  display_name: "plate_rack"
+}
+item {
+  name: "n07768694"
+  label: 132
+  display_name: "pomegranate"
+}
+item {
+  name: "n07615774"
+  label: 133
+  display_name: "popsicle"
+}
+item {
+  name: "n02346627"
+  label: 134
+  display_name: "porcupine"
+}
+item {
+  name: "n03995372"
+  label: 135
+  display_name: "power_drill"
+}
+item {
+  name: "n07695742"
+  label: 136
+  display_name: "pretzel"
+}
+item {
+  name: "n04004767"
+  label: 137
+  display_name: "printer"
+}
+item {
+  name: "n04019541"
+  label: 138
+  display_name: "puck"
+}
+item {
+  name: "n04023962"
+  label: 139
+  display_name: "punching_bag"
+}
+item {
+  name: "n04026417"
+  label: 140
+  display_name: "purse"
+}
+item {
+  name: "n02324045"
+  label: 141
+  display_name: "rabbit"
+}
+item {
+  name: "n04039381"
+  label: 142
+  display_name: "racket"
+}
+item {
+  name: "n01495701"
+  label: 143
+  display_name: "ray"
+}
+item {
+  name: "n02509815"
+  label: 144
+  display_name: "red_panda"
+}
+item {
+  name: "n04070727"
+  label: 145
+  display_name: "refrigerator"
+}
+item {
+  name: "n04074963"
+  label: 146
+  display_name: "remote_control"
+}
+item {
+  name: "n04116512"
+  label: 147
+  display_name: "rubber_eraser"
+}
+item {
+  name: "n04118538"
+  label: 148
+  display_name: "rugby_ball"
+}
+item {
+  name: "n04118776"
+  label: 149
+  display_name: "ruler"
+}
+item {
+  name: "n04131690"
+  label: 150
+  display_name: "salt_or_pepper_shaker"
+}
+item {
+  name: "n04141076"
+  label: 151
+  display_name: "saxophone"
+}
+item {
+  name: "n01770393"
+  label: 152
+  display_name: "scorpion"
+}
+item {
+  name: "n04154565"
+  label: 153
+  display_name: "screwdriver"
+}
+item {
+  name: "n02076196"
+  label: 154
+  display_name: "seal"
+}
+item {
+  name: "n02411705"
+  label: 155
+  display_name: "sheep"
+}
+item {
+  name: "n04228054"
+  label: 156
+  display_name: "ski"
+}
+item {
+  name: "n02445715"
+  label: 157
+  display_name: "skunk"
+}
+item {
+  name: "n01944390"
+  label: 158
+  display_name: "snail"
+}
+item {
+  name: "n01726692"
+  label: 159
+  display_name: "snake"
+}
+item {
+  name: "n04252077"
+  label: 160
+  display_name: "snowmobile"
+}
+item {
+  name: "n04252225"
+  label: 161
+  display_name: "snowplow"
+}
+item {
+  name: "n04254120"
+  label: 162
+  display_name: "soap_dispenser"
+}
+item {
+  name: "n04254680"
+  label: 163
+  display_name: "soccer_ball"
+}
+item {
+  name: "n04256520"
+  label: 164
+  display_name: "sofa"
+}
+item {
+  name: "n04270147"
+  label: 165
+  display_name: "spatula"
+}
+item {
+  name: "n02355227"
+  label: 166
+  display_name: "squirrel"
+}
+item {
+  name: "n02317335"
+  label: 167
+  display_name: "starfish"
+}
+item {
+  name: "n04317175"
+  label: 168
+  display_name: "stethoscope"
+}
+item {
+  name: "n04330267"
+  label: 169
+  display_name: "stove"
+}
+item {
+  name: "n04332243"
+  label: 170
+  display_name: "strainer"
+}
+item {
+  name: "n07745940"
+  label: 171
+  display_name: "strawberry"
+}
+item {
+  name: "n04336792"
+  label: 172
+  display_name: "stretcher"
+}
+item {
+  name: "n04356056"
+  label: 173
+  display_name: "sunglasses"
+}
+item {
+  name: "n04371430"
+  label: 174
+  display_name: "swimming_trunks"
+}
+item {
+  name: "n02395003"
+  label: 175
+  display_name: "swine"
+}
+item {
+  name: "n04376876"
+  label: 176
+  display_name: "syringe"
+}
+item {
+  name: "n04379243"
+  label: 177
+  display_name: "table"
+}
+item {
+  name: "n04392985"
+  label: 178
+  display_name: "tape_player"
+}
+item {
+  name: "n04409515"
+  label: 179
+  display_name: "tennis_ball"
+}
+item {
+  name: "n01776313"
+  label: 180
+  display_name: "tick"
+}
+item {
+  name: "n04591157"
+  label: 181
+  display_name: "tie"
+}
+item {
+  name: "n02129604"
+  label: 182
+  display_name: "tiger"
+}
+item {
+  name: "n04442312"
+  label: 183
+  display_name: "toaster"
+}
+item {
+  name: "n06874185"
+  label: 184
+  display_name: "traffic_light"
+}
+item {
+  name: "n04468005"
+  label: 185
+  display_name: "train"
+}
+item {
+  name: "n04487394"
+  label: 186
+  display_name: "trombone"
+}
+item {
+  name: "n03110669"
+  label: 187
+  display_name: "trumpet"
+}
+item {
+  name: "n01662784"
+  label: 188
+  display_name: "turtle"
+}
+item {
+  name: "n03211117"
+  label: 189
+  display_name: "tv_or_monitor"
+}
+item {
+  name: "n04509417"
+  label: 190
+  display_name: "unicycle"
+}
+item {
+  name: "n04517823"
+  label: 191
+  display_name: "vacuum"
+}
+item {
+  name: "n04536866"
+  label: 192
+  display_name: "violin"
+}
+item {
+  name: "n04540053"
+  label: 193
+  display_name: "volleyball"
+}
+item {
+  name: "n04542943"
+  label: 194
+  display_name: "waffle_iron"
+}
+item {
+  name: "n04554684"
+  label: 195
+  display_name: "washer"
+}
+item {
+  name: "n04557648"
+  label: 196
+  display_name: "water_bottle"
+}
+item {
+  name: "n04530566"
+  label: 197
+  display_name: "watercraft"
+}
+item {
+  name: "n02062744"
+  label: 198
+  display_name: "whale"
+}
+item {
+  name: "n04591713"
+  label: 199
+  display_name: "wine_bottle"
+}
+item {
+  name: "n02391049"
+  label: 200
+  display_name: "zebra"
+}
diff --git a/data/VOC0712/coco_voc_map.txt b/data/VOC0712/coco_voc_map.txt
new file mode 100644
index 00000000000..7ff84d19b61
--- /dev/null
+++ b/data/VOC0712/coco_voc_map.txt
@@ -0,0 +1,21 @@
+0,0,background
+5,1,aeroplane
+2,2,bicycle
+15,3,bird
+9,4,boat
+40,5,bottle
+6,6,bus
+3,7,car
+16,8,cat
+57,9,chair
+20,10,cow
+61,11,diningtable
+17,12,dog
+18,13,horse
+4,14,motorbike
+1,15,person
+59,16,pottedplant
+19,17,sheep
+58,18,sofa
+7,19,train
+63,20,tvmonitor
diff --git a/data/VOC0712/create_data.sh b/data/VOC0712/create_data.sh
new file mode 100644
index 00000000000..ffcc97d747b
--- /dev/null
+++ b/data/VOC0712/create_data.sh
@@ -0,0 +1,25 @@
+cur_dir=$(cd $( dirname ${BASH_SOURCE[0]} ) && pwd )
+root_dir=$cur_dir/../..
+
+cd $root_dir
+
+redo=1
+data_root_dir="$HOME/data/VOCdevkit"
+dataset_name="VOC0712"
+mapfile="$root_dir/data/$dataset_name/labelmap_voc.prototxt"
+anno_type="detection"
+db="lmdb"
+min_dim=0
+max_dim=0
+width=0
+height=0
+
+extra_cmd="--encode-type=jpg --encoded"
+if [ $redo ]
+then
+  extra_cmd="$extra_cmd --redo"
+fi
+for subset in test trainval
+do
+  python $root_dir/scripts/create_annoset.py --anno-type=$anno_type --label-map-file=$mapfile --min-dim=$min_dim --max-dim=$max_dim --resize-width=$width --resize-height=$height --check-label $extra_cmd $data_root_dir $root_dir/data/$dataset_name/$subset.txt $data_root_dir/$dataset_name/$db/$dataset_name"_"$subset"_"$db examples/$dataset_name
+done
diff --git a/data/VOC0712/create_list.sh b/data/VOC0712/create_list.sh
new file mode 100644
index 00000000000..67eb1007b2b
--- /dev/null
+++ b/data/VOC0712/create_list.sh
@@ -0,0 +1,51 @@
+#!/bin/bash
+
+root_dir=$HOME/data/VOCdevkit/
+sub_dir=ImageSets/Main
+bash_dir="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+for dataset in trainval test
+do
+  dst_file=$bash_dir/$dataset.txt
+  if [ -f $dst_file ]
+  then
+    rm -f $dst_file
+  fi
+  for name in VOC2007 VOC2012
+  do
+    if [[ $dataset == "test" && $name == "VOC2012" ]]
+    then
+      continue
+    fi
+    echo "Create list for $name $dataset..."
+    dataset_file=$root_dir/$name/$sub_dir/$dataset.txt
+
+    img_file=$bash_dir/$dataset"_img.txt"
+    cp $dataset_file $img_file
+    sed -i "s/^/$name\/JPEGImages\//g" $img_file
+    sed -i "s/$/.jpg/g" $img_file
+
+    label_file=$bash_dir/$dataset"_label.txt"
+    cp $dataset_file $label_file
+    sed -i "s/^/$name\/Annotations\//g" $label_file
+    sed -i "s/$/.xml/g" $label_file
+
+    paste -d' ' $img_file $label_file >> $dst_file
+
+    rm -f $label_file
+    rm -f $img_file
+  done
+
+  # Generate image name and size infomation.
+  if [ $dataset == "test" ]
+  then
+    $bash_dir/../../build/tools/get_image_size $root_dir $dst_file $bash_dir/$dataset"_name_size.txt"
+  fi
+
+  # Shuffle trainval file.
+  if [ $dataset == "trainval" ]
+  then
+    rand_file=$dst_file.random
+    cat $dst_file | perl -MList::Util=shuffle -e 'print shuffle(<STDIN>);' > $rand_file
+    mv $rand_file $dst_file
+  fi
+done
diff --git a/data/VOC0712/labelmap_voc.prototxt b/data/VOC0712/labelmap_voc.prototxt
new file mode 100644
index 00000000000..b5c177b7245
--- /dev/null
+++ b/data/VOC0712/labelmap_voc.prototxt
@@ -0,0 +1,105 @@
+item {
+  name: "none_of_the_above"
+  label: 0
+  display_name: "background"
+}
+item {
+  name: "aeroplane"
+  label: 1
+  display_name: "aeroplane"
+}
+item {
+  name: "bicycle"
+  label: 2
+  display_name: "bicycle"
+}
+item {
+  name: "bird"
+  label: 3
+  display_name: "bird"
+}
+item {
+  name: "boat"
+  label: 4
+  display_name: "boat"
+}
+item {
+  name: "bottle"
+  label: 5
+  display_name: "bottle"
+}
+item {
+  name: "bus"
+  label: 6
+  display_name: "bus"
+}
+item {
+  name: "car"
+  label: 7
+  display_name: "car"
+}
+item {
+  name: "cat"
+  label: 8
+  display_name: "cat"
+}
+item {
+  name: "chair"
+  label: 9
+  display_name: "chair"
+}
+item {
+  name: "cow"
+  label: 10
+  display_name: "cow"
+}
+item {
+  name: "diningtable"
+  label: 11
+  display_name: "diningtable"
+}
+item {
+  name: "dog"
+  label: 12
+  display_name: "dog"
+}
+item {
+  name: "horse"
+  label: 13
+  display_name: "horse"
+}
+item {
+  name: "motorbike"
+  label: 14
+  display_name: "motorbike"
+}
+item {
+  name: "person"
+  label: 15
+  display_name: "person"
+}
+item {
+  name: "pottedplant"
+  label: 16
+  display_name: "pottedplant"
+}
+item {
+  name: "sheep"
+  label: 17
+  display_name: "sheep"
+}
+item {
+  name: "sofa"
+  label: 18
+  display_name: "sofa"
+}
+item {
+  name: "train"
+  label: 19
+  display_name: "train"
+}
+item {
+  name: "tvmonitor"
+  label: 20
+  display_name: "tvmonitor"
+}
diff --git a/data/coco/README.md b/data/coco/README.md
new file mode 100644
index 00000000000..7589a7cbd3c
--- /dev/null
+++ b/data/coco/README.md
@@ -0,0 +1,38 @@
+### Preparation
+1. Download Images and Annotations from [MSCOCO](http://mscoco.org/dataset/#download). By default, we assume the data is stored in `$HOME/data/coco`
+
+2. Get the coco code. We will call the directory that you cloned coco into `$COCO_ROOT`
+  ```Shell
+  git clone https://github.com/weiliu89/coco.git
+  cd coco
+  git checkout dev
+  ```
+
+3. Build the coco code.
+  ```Shell
+  cd PythonAPI
+  python setup.py build_ext --inplace
+  ```
+
+4. Split the annotation to many files per image and get the image size info.
+  ```Shell
+  # Check scripts/batch_split_annotation.py and change settings accordingly.
+  python scripts/batch_split_annotation.py
+  # Create the minival2014_name_size.txt and test-dev2015_name_size.txt in $CAFFE_ROOT/data/coco
+  python scripts/batch_get_image_size.py
+  ```
+
+5. Create the LMDB file.
+  ```Shell
+  cd $CAFFE_ROOT
+  # Create the minival.txt, testdev.txt, test.txt, train.txt in data/coco/
+  python data/coco/create_list.py
+  # You can modify the parameters in create_data.sh if needed.
+  # It will create lmdb files for minival, testdev, test, and train with encoded original image:
+  #   - $HOME/data/coco/lmdb/coco_minival_lmdb
+  #   - $HOME/data/coco/lmdb/coco_testdev_lmdb
+  #   - $HOME/data/coco/lmdb/coco_test_lmdb
+  #   - $HOME/data/coco/lmdb/coco_train_lmdb
+  # and make soft links at examples/coco/
+  ./data/coco/create_data.sh
+  ```
diff --git a/data/coco/create_data.sh b/data/coco/create_data.sh
new file mode 100644
index 00000000000..32f45e6d7d9
--- /dev/null
+++ b/data/coco/create_data.sh
@@ -0,0 +1,27 @@
+#!/usr/bin/env bash
+cur_dir=$(cd $( dirname ${BASH_SOURCE[0]} ) && pwd )
+root_dir=$cur_dir/../..
+
+cd $root_dir
+
+redo=true
+data_root_dir="$HOME/data/coco"
+dataset_name="coco"
+mapfile="$root_dir/data/$dataset_name/labelmap_coco.prototxt"
+anno_type="detection"
+label_type="json" #"xml"
+db="lmdb"
+min_dim=0
+max_dim=0
+width=0
+height=0
+
+extra_cmd="--encode-type=jpg --encoded"
+if $redo
+then
+  extra_cmd="$extra_cmd --redo"
+fi
+for subset in minival testdev train test
+do
+  python $root_dir/scripts/create_annoset.py --anno-type=$anno_type --label-type=$label_type --label-map-file=$mapfile --min-dim=$min_dim --max-dim=$max_dim --resize-width=$width --resize-height=$height --check-label $extra_cmd $data_root_dir $root_dir/data/$dataset_name/$subset.txt $data_root_dir/$db/$dataset_name"_"$subset"_"$db examples/$dataset_name 2>&1 | tee $root_dir/data/$dataset_name/$subset.log
+done
diff --git a/data/coco/create_list.py b/data/coco/create_list.py
new file mode 100644
index 00000000000..cdd86f3b2d3
--- /dev/null
+++ b/data/coco/create_list.py
@@ -0,0 +1,125 @@
+import argparse
+import os
+from random import shuffle
+import shutil
+import subprocess
+import sys
+
+HOMEDIR = os.path.expanduser("~")
+CURDIR = os.path.dirname(os.path.realpath(__file__))
+
+# If true, re-create all list files.
+redo = True
+# The root directory which holds all information of the dataset.
+data_dir = "{}/data/coco".format(HOMEDIR)
+# The directory name which holds the image sets.
+imgset_dir = "ImageSets"
+# The direcotry which contains the images.
+img_dir = "images"
+img_ext = "jpg"
+# The directory which contains the annotations.
+anno_dir = "Annotations"
+anno_ext = "json"
+
+train_list_file = "{}/train.txt".format(CURDIR)
+minival_list_file = "{}/minival.txt".format(CURDIR)
+testdev_list_file = "{}/testdev.txt".format(CURDIR)
+test_list_file = "{}/test.txt".format(CURDIR)
+
+# Create training set.
+# We follow Ross Girschick's split.
+if redo or not os.path.exists(train_list_file):
+    datasets = ["train2014"]#, "valminusminival2014"]
+    img_files = []
+    anno_files = []
+    for dataset in datasets:
+        imgset_file = "{}/{}/{}.txt".format(data_dir, imgset_dir, dataset)
+        with open(imgset_file, "r") as f:
+            for line in f.readlines():
+                name = line.strip("\n")
+                subset = name.split("_")[1]
+                img_file = "{}/{}/{}.{}".format(img_dir, subset, name, img_ext)
+                assert os.path.exists("{}/{}".format(data_dir, img_file)), \
+                        "{}/{} does not exist".format(data_dir, img_file)
+                anno_file = "{}/{}/{}.{}".format(anno_dir, subset, name, anno_ext)
+                assert os.path.exists("{}/{}".format(data_dir, anno_file)), \
+                        "{}/{} does not exist".format(data_dir, anno_file)
+                img_files.append(img_file)
+                anno_files.append(anno_file)
+    # Shuffle the images.
+    idx = [i for i in xrange(len(img_files))]
+    shuffle(idx)
+    with open(train_list_file, "w") as f:
+        for i in idx:
+            f.write("{} {}\n".format(img_files[i], anno_files[i]))
+
+if redo or not os.path.exists(minival_list_file):
+    datasets = ["val2014"]
+    subset = "val2014"
+    img_files = []
+    anno_files = []
+    for dataset in datasets:
+        imgset_file = "{}/{}/{}.txt".format(data_dir, imgset_dir, dataset)
+        with open(imgset_file, "r") as f:
+            for line in f.readlines():
+                name = line.strip("\n")
+                img_file = "{}/{}/{}.{}".format(img_dir, subset, name, img_ext)
+                assert os.path.exists("{}/{}".format(data_dir, img_file)), \
+                        "{}/{} does not exist".format(data_dir, img_file)
+                anno_file = "{}/{}/{}.{}".format(anno_dir, subset, name, anno_ext)
+                assert os.path.exists("{}/{}".format(data_dir, anno_file)), \
+                        "{}/{} does not exist".format(data_dir, anno_file)
+                img_files.append(img_file)
+                anno_files.append(anno_file)
+    with open(minival_list_file, "w") as f:
+        for i in xrange(len(img_files)):
+            f.write("{} {}\n".format(img_files[i], anno_files[i]))
+
+if redo or not os.path.exists(testdev_list_file):
+#    datasets = ["test-dev2015"]
+#    subset = "test2015"
+    datasets = ["test2014"]
+    subset = "test2014"
+    img_files = []
+    anno_files = []
+    for dataset in datasets:
+        imgset_file = "{}/{}/{}.txt".format(data_dir, imgset_dir, dataset)
+        with open(imgset_file, "r") as f:
+            for line in f.readlines():
+                name = line.strip("\n")
+                img_file = "{}/{}/{}.{}".format(img_dir, subset, name, img_ext)
+                assert os.path.exists("{}/{}".format(data_dir, img_file)), \
+                        "{}/{} does not exist".format(data_dir, img_file)
+                anno_file = "{}/{}/{}.{}".format(anno_dir, subset, name, anno_ext)
+                assert os.path.exists("{}/{}".format(data_dir, anno_file)), \
+                        "{}/{} does not exist".format(data_dir, anno_file)
+                img_files.append(img_file)
+                anno_files.append(anno_file)
+    with open(testdev_list_file, "w") as f:
+        for i in xrange(len(img_files)):
+            f.write("{} {}\n".format(img_files[i], anno_files[i]))
+
+if redo or not os.path.exists(test_list_file):
+    # datasets = ["test2015"]
+    # subset = "test2015"
+    datasets = ["test2014"]
+    subset = "test2014"
+    img_files = []
+    anno_files = []
+    for dataset in datasets:
+        imgset_file = "{}/{}/{}.txt".format(data_dir, imgset_dir, dataset)
+        with open(imgset_file, "r") as f:
+            for line in f.readlines():
+                name = line.strip("\n")
+                img_file = "{}/{}/{}.{}".format(img_dir, subset, name, img_ext)
+                assert os.path.exists("{}/{}".format(data_dir, img_file)), \
+                        "{}/{} does not exist".format(data_dir, img_file)
+                anno_file = "{}/{}/{}.{}".format(anno_dir, subset, name, anno_ext)
+                assert os.path.exists("{}/{}".format(data_dir, anno_file)), \
+                        "{}/{} does not exist".format(data_dir, anno_file)
+                img_files.append(img_file)
+                anno_files.append(anno_file)
+    with open(test_list_file, "w") as f:
+        for i in xrange(len(img_files)):
+            f.write("{} {}\n".format(img_files[i], anno_files[i]))
+
diff --git a/data/coco/labelmap_coco.prototxt b/data/coco/labelmap_coco.prototxt
new file mode 100644
index 00000000000..82252d2e9dc
--- /dev/null
+++ b/data/coco/labelmap_coco.prototxt
@@ -0,0 +1,405 @@
+item {
+  name: "none_of_the_above"
+  label: 0
+  display_name: "background"
+}
+item {
+  name: "1"
+  label: 1
+  display_name: "person"
+}
+item {
+  name: "2"
+  label: 2
+  display_name: "bicycle"
+}
+item {
+  name: "3"
+  label: 3
+  display_name: "car"
+}
+item {
+  name: "4"
+  label: 4
+  display_name: "motorcycle"
+}
+item {
+  name: "5"
+  label: 5
+  display_name: "airplane"
+}
+item {
+  name: "6"
+  label: 6
+  display_name: "bus"
+}
+item {
+  name: "7"
+  label: 7
+  display_name: "train"
+}
+item {
+  name: "8"
+  label: 8
+  display_name: "truck"
+}
+item {
+  name: "9"
+  label: 9
+  display_name: "boat"
+}
+item {
+  name: "10"
+  label: 10
+  display_name: "traffic light"
+}
+item {
+  name: "11"
+  label: 11
+  display_name: "fire hydrant"
+}
+item {
+  name: "13"
+  label: 12
+  display_name: "stop sign"
+}
+item {
+  name: "14"
+  label: 13
+  display_name: "parking meter"
+}
+item {
+  name: "15"
+  label: 14
+  display_name: "bench"
+}
+item {
+  name: "16"
+  label: 15
+  display_name: "bird"
+}
+item {
+  name: "17"
+  label: 16
+  display_name: "cat"
+}
+item {
+  name: "18"
+  label: 17
+  display_name: "dog"
+}
+item {
+  name: "19"
+  label: 18
+  display_name: "horse"
+}
+item {
+  name: "20"
+  label: 19
+  display_name: "sheep"
+}
+item {
+  name: "21"
+  label: 20
+  display_name: "cow"
+}
+item {
+  name: "22"
+  label: 21
+  display_name: "elephant"
+}
+item {
+  name: "23"
+  label: 22
+  display_name: "bear"
+}
+item {
+  name: "24"
+  label: 23
+  display_name: "zebra"
+}
+item {
+  name: "25"
+  label: 24
+  display_name: "giraffe"
+}
+item {
+  name: "27"
+  label: 25
+  display_name: "backpack"
+}
+item {
+  name: "28"
+  label: 26
+  display_name: "umbrella"
+}
+item {
+  name: "31"
+  label: 27
+  display_name: "handbag"
+}
+item {
+  name: "32"
+  label: 28
+  display_name: "tie"
+}
+item {
+  name: "33"
+  label: 29
+  display_name: "suitcase"
+}
+item {
+  name: "34"
+  label: 30
+  display_name: "frisbee"
+}
+item {
+  name: "35"
+  label: 31
+  display_name: "skis"
+}
+item {
+  name: "36"
+  label: 32
+  display_name: "snowboard"
+}
+item {
+  name: "37"
+  label: 33
+  display_name: "sports ball"
+}
+item {
+  name: "38"
+  label: 34
+  display_name: "kite"
+}
+item {
+  name: "39"
+  label: 35
+  display_name: "baseball bat"
+}
+item {
+  name: "40"
+  label: 36
+  display_name: "baseball glove"
+}
+item {
+  name: "41"
+  label: 37
+  display_name: "skateboard"
+}
+item {
+  name: "42"
+  label: 38
+  display_name: "surfboard"
+}
+item {
+  name: "43"
+  label: 39
+  display_name: "tennis racket"
+}
+item {
+  name: "44"
+  label: 40
+  display_name: "bottle"
+}
+item {
+  name: "46"
+  label: 41
+  display_name: "wine glass"
+}
+item {
+  name: "47"
+  label: 42
+  display_name: "cup"
+}
+item {
+  name: "48"
+  label: 43
+  display_name: "fork"
+}
+item {
+  name: "49"
+  label: 44
+  display_name: "knife"
+}
+item {
+  name: "50"
+  label: 45
+  display_name: "spoon"
+}
+item {
+  name: "51"
+  label: 46
+  display_name: "bowl"
+}
+item {
+  name: "52"
+  label: 47
+  display_name: "banana"
+}
+item {
+  name: "53"
+  label: 48
+  display_name: "apple"
+}
+item {
+  name: "54"
+  label: 49
+  display_name: "sandwich"
+}
+item {
+  name: "55"
+  label: 50
+  display_name: "orange"
+}
+item {
+  name: "56"
+  label: 51
+  display_name: "broccoli"
+}
+item {
+  name: "57"
+  label: 52
+  display_name: "carrot"
+}
+item {
+  name: "58"
+  label: 53
+  display_name: "hot dog"
+}
+item {
+  name: "59"
+  label: 54
+  display_name: "pizza"
+}
+item {
+  name: "60"
+  label: 55
+  display_name: "donut"
+}
+item {
+  name: "61"
+  label: 56
+  display_name: "cake"
+}
+item {
+  name: "62"
+  label: 57
+  display_name: "chair"
+}
+item {
+  name: "63"
+  label: 58
+  display_name: "couch"
+}
+item {
+  name: "64"
+  label: 59
+  display_name: "potted plant"
+}
+item {
+  name: "65"
+  label: 60
+  display_name: "bed"
+}
+item {
+  name: "67"
+  label: 61
+  display_name: "dining table"
+}
+item {
+  name: "70"
+  label: 62
+  display_name: "toilet"
+}
+item {
+  name: "72"
+  label: 63
+  display_name: "tv"
+}
+item {
+  name: "73"
+  label: 64
+  display_name: "laptop"
+}
+item {
+  name: "74"
+  label: 65
+  display_name: "mouse"
+}
+item {
+  name: "75"
+  label: 66
+  display_name: "remote"
+}
+item {
+  name: "76"
+  label: 67
+  display_name: "keyboard"
+}
+item {
+  name: "77"
+  label: 68
+  display_name: "cell phone"
+}
+item {
+  name: "78"
+  label: 69
+  display_name: "microwave"
+}
+item {
+  name: "79"
+  label: 70
+  display_name: "oven"
+}
+item {
+  name: "80"
+  label: 71
+  display_name: "toaster"
+}
+item {
+  name: "81"
+  label: 72
+  display_name: "sink"
+}
+item {
+  name: "82"
+  label: 73
+  display_name: "refrigerator"
+}
+item {
+  name: "84"
+  label: 74
+  display_name: "book"
+}
+item {
+  name: "85"
+  label: 75
+  display_name: "clock"
+}
+item {
+  name: "86"
+  label: 76
+  display_name: "vase"
+}
+item {
+  name: "87"
+  label: 77
+  display_name: "scissors"
+}
+item {
+  name: "88"
+  label: 78
+  display_name: "teddy bear"
+}
+item {
+  name: "89"
+  label: 79
+  display_name: "hair drier"
+}
+item {
+  name: "90"
+  label: 80
+  display_name: "toothbrush"
+}
diff --git a/data/coco/labels.txt b/data/coco/labels.txt
new file mode 100644
index 00000000000..146dd8daae0
--- /dev/null
+++ b/data/coco/labels.txt
@@ -0,0 +1,80 @@
+1,1,person
+2,2,bicycle
+3,3,car
+4,4,motorcycle
+5,5,airplane
+6,6,bus
+7,7,train
+8,8,truck
+9,9,boat
+10,10,traffic light
+11,11,fire hydrant
+13,12,stop sign
+14,13,parking meter
+15,14,bench
+16,15,bird
+17,16,cat
+18,17,dog
+19,18,horse
+20,19,sheep
+21,20,cow
+22,21,elephant
+23,22,bear
+24,23,zebra
+25,24,giraffe
+27,25,backpack
+28,26,umbrella
+31,27,handbag
+32,28,tie
+33,29,suitcase
+34,30,frisbee
+35,31,skis
+36,32,snowboard
+37,33,sports ball
+38,34,kite
+39,35,baseball bat
+40,36,baseball glove
+41,37,skateboard
+42,38,surfboard
+43,39,tennis racket
+44,40,bottle
+46,41,wine glass
+47,42,cup
+48,43,fork
+49,44,knife
+50,45,spoon
+51,46,bowl
+52,47,banana
+53,48,apple
+54,49,sandwich
+55,50,orange
+56,51,broccoli
+57,52,carrot
+58,53,hot dog
+59,54,pizza
+60,55,donut
+61,56,cake
+62,57,chair
+63,58,couch
+64,59,potted plant
+65,60,bed
+67,61,dining table
+70,62,toilet
+72,63,tv
+73,64,laptop
+74,65,mouse
+75,66,remote
+76,67,keyboard
+77,68,cell phone
+78,69,microwave
+79,70,oven
+80,71,toaster
+81,72,sink
+82,73,refrigerator
+84,74,book
+85,75,clock
+86,76,vase
+87,77,scissors
+88,78,teddy bear
+89,79,hair drier
+90,80,toothbrush
diff --git a/examples/02-fine-tuning.ipynb b/examples/02-fine-tuning.ipynb
index 07ca8df4d74..3372f549cd9 100644
--- a/examples/02-fine-tuning.ipynb
+++ b/examples/02-fine-tuning.ipynb
@@ -762,7 +762,7 @@
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAEPCAYAAACp/QjLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ncoiIiIb/AxSD6Sq0YLMCAAAAAElFTkSuQmCC\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAEPCAYAAACp/QjLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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u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\ncoiIiIb/AxSD6Sq0YLMCAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<matplotlib.figure.Figure at 0x7f75d496e890>"
       ]
diff --git a/examples/detection.ipynb b/examples/detection.ipynb
index 6a03c996245..36f419f834e 100644
--- a/examples/detection.ipynb
+++ b/examples/detection.ipynb
@@ -1806,7 +1806,7 @@
        "dLvdaza+eH10u11LmYWWOe5QCjKDTnJ9fd3iLsrlslKplIbDoSlIQDLG7RMQD4AzozpHpYJ/HfU4\n",
        "aV2Li4tGanrT61YNTVgYUCsdx9H8/Lw1K3BtUTQsLi6aQThaQZosHOXn5uZMv5ZIJLS7u2s7PU0Z\n",
        "qmdqZmpRFiA7FaPuyclJ86qD7ww/hIEGqabjkB8BnKhKxnfLy8tL87igJ4AZyOtA5GHRj9vzIlJg\n",
-       "kWIOiXHO8vKywXfU/XiLzM3NmXqFwQeuUdJVPuN4LiGYfyqVMgHxcDjU2traje7/rdqZganm5+dt\n",
+       "kWIOiXHO8vKywXfU/XiLzM3NmXqFwQeuUdJVPuN4LiGYfyqVMgHxcDjU2traje7/rdqZganm5+bdt\n",
        "6kT2M0GPHN00c/l83gYY9XpdpVLJ0I5ut2v13Dh0BfmdLp8d/fT0VOVy2WrdcDis8/Nz40wwZOl2\n",
        "uzbuHvdwAxtnOrm3t6dyuWziV5Qf8DtOT08Vi8WMQffy5Ut7T9LVWBu73mazqVwuZycJtlrS1QNU\n",
        "KBTsBKnVauYeSkNNn8FpVq/Xbdw9GAz08uVLM1qv1WrGQDw5OTGolO+gVCoZlo76u9Pp6MWLFze6\n",
diff --git a/examples/ssd/model_libs.py b/examples/ssd/model_libs.py
new file mode 100644
index 00000000000..84c8bf27d71
--- /dev/null
+++ b/examples/ssd/model_libs.py
@@ -0,0 +1,933 @@
+import os
+
+import caffe
+from caffe import layers as L
+from caffe import params as P
+from caffe.proto import caffe_pb2
+
+def check_if_exist(path):
+    return os.path.exists(path)
+
+def make_if_not_exist(path):
+    if not os.path.exists(path):
+        os.makedirs(path)
+
+def UnpackVariable(var, num):
+  assert len > 0
+  if type(var) is list and len(var) == num:
+    return var
+  else:
+    ret = []
+    if type(var) is list:
+      assert len(var) == 1
+      for i in xrange(0, num):
+        ret.append(var[0])
+    else:
+      for i in xrange(0, num):
+        ret.append(var)
+    return ret
+
+def ConvBNLayer(net, from_layer, out_layer, use_bn, use_relu, num_output,
+    kernel_size, pad, stride, dilation=1, use_scale=True, lr_mult=1,
+    conv_prefix='', conv_postfix='', bn_prefix='', bn_postfix='_bn',
+    scale_prefix='', scale_postfix='_scale', bias_prefix='', bias_postfix='_bias',
+    **bn_params):
+  if use_bn:
+    # parameters for convolution layer with batchnorm.
+    kwargs = {
+        'param': [dict(lr_mult=lr_mult, decay_mult=1)],
+        'weight_filler': dict(type='gaussian', std=0.01),
+        'bias_term': False,
+        }
+    eps = bn_params.get('eps', 0.001)
+    moving_average_fraction = bn_params.get('moving_average_fraction', 0.999)
+    use_global_stats = bn_params.get('use_global_stats', False)
+    # parameters for batchnorm layer.
+    bn_kwargs = {
+        'param': [
+            dict(lr_mult=0, decay_mult=0),
+            dict(lr_mult=0, decay_mult=0),
+            dict(lr_mult=0, decay_mult=0)],
+        'eps': eps,
+        'moving_average_fraction': moving_average_fraction,
+        }
+    bn_lr_mult = lr_mult
+    if use_global_stats:
+      # only specify if use_global_stats is explicitly provided;
+      # otherwise, use_global_stats_ = this->phase_ == TEST;
+      bn_kwargs = {
+          'param': [
+              dict(lr_mult=0, decay_mult=0),
+              dict(lr_mult=0, decay_mult=0),
+              dict(lr_mult=0, decay_mult=0)],
+          'eps': eps,
+          'use_global_stats': use_global_stats,
+          }
+      # not updating scale/bias parameters
+      bn_lr_mult = 0
+    # parameters for scale bias layer after batchnorm.
+    if use_scale:
+      sb_kwargs = {
+          'bias_term': True,
+          'param': [
+              dict(lr_mult=bn_lr_mult, decay_mult=0),
+              dict(lr_mult=bn_lr_mult, decay_mult=0)],
+          'filler': dict(type='constant', value=1.0),
+          'bias_filler': dict(type='constant', value=0.0),
+          }
+    else:
+      bias_kwargs = {
+          'param': [dict(lr_mult=bn_lr_mult, decay_mult=0)],
+          'filler': dict(type='constant', value=0.0),
+          }
+  else:
+    kwargs = {
+        'param': [
+            dict(lr_mult=lr_mult, decay_mult=1),
+            dict(lr_mult=2 * lr_mult, decay_mult=0)],
+        'weight_filler': dict(type='xavier'),
+        'bias_filler': dict(type='constant', value=0)
+        }
+
+  conv_name = '{}{}{}'.format(conv_prefix, out_layer, conv_postfix)
+  [kernel_h, kernel_w] = UnpackVariable(kernel_size, 2)
+  [pad_h, pad_w] = UnpackVariable(pad, 2)
+  [stride_h, stride_w] = UnpackVariable(stride, 2)
+  if kernel_h == kernel_w:
+    net[conv_name] = L.Convolution(net[from_layer], num_output=num_output,
+        kernel_size=kernel_h, pad=pad_h, stride=stride_h, **kwargs)
+  else:
+    net[conv_name] = L.Convolution(net[from_layer], num_output=num_output,
+        kernel_h=kernel_h, kernel_w=kernel_w, pad_h=pad_h, pad_w=pad_w,
+        stride_h=stride_h, stride_w=stride_w, **kwargs)
+  if dilation > 1:
+    net.update(conv_name, {'dilation': dilation})
+  if use_bn:
+    bn_name = '{}{}{}'.format(bn_prefix, out_layer, bn_postfix)
+    net[bn_name] = L.BatchNorm(net[conv_name], in_place=True, **bn_kwargs)
+    if use_scale:
+      sb_name = '{}{}{}'.format(scale_prefix, out_layer, scale_postfix)
+      net[sb_name] = L.Scale(net[bn_name], in_place=True, **sb_kwargs)
+    else:
+      bias_name = '{}{}{}'.format(bias_prefix, out_layer, bias_postfix)
+      net[bias_name] = L.Bias(net[bn_name], in_place=True, **bias_kwargs)
+  if use_relu:
+    relu_name = '{}_relu'.format(conv_name)
+    net[relu_name] = L.ReLU(net[conv_name], in_place=True)
+
+def ResBody(net, from_layer, block_name, out2a, out2b, out2c, stride, use_branch1, dilation=1, **bn_param):
+  # ResBody(net, 'pool1', '2a', 64, 64, 256, 1, True)
+
+  conv_prefix = 'res{}_'.format(block_name)
+  conv_postfix = ''
+  bn_prefix = 'bn{}_'.format(block_name)
+  bn_postfix = ''
+  scale_prefix = 'scale{}_'.format(block_name)
+  scale_postfix = ''
+  use_scale = True
+
+  if use_branch1:
+    branch_name = 'branch1'
+    ConvBNLayer(net, from_layer, branch_name, use_bn=True, use_relu=False,
+        num_output=out2c, kernel_size=1, pad=0, stride=stride, use_scale=use_scale,
+        conv_prefix=conv_prefix, conv_postfix=conv_postfix,
+        bn_prefix=bn_prefix, bn_postfix=bn_postfix,
+        scale_prefix=scale_prefix, scale_postfix=scale_postfix, **bn_param)
+    branch1 = '{}{}'.format(conv_prefix, branch_name)
+  else:
+    branch1 = from_layer
+
+  branch_name = 'branch2a'
+  ConvBNLayer(net, from_layer, branch_name, use_bn=True, use_relu=True,
+      num_output=out2a, kernel_size=1, pad=0, stride=stride, use_scale=use_scale,
+      conv_prefix=conv_prefix, conv_postfix=conv_postfix,
+      bn_prefix=bn_prefix, bn_postfix=bn_postfix,
+      scale_prefix=scale_prefix, scale_postfix=scale_postfix, **bn_param)
+  out_name = '{}{}'.format(conv_prefix, branch_name)
+
+  branch_name = 'branch2b'
+  if dilation == 1:
+    ConvBNLayer(net, out_name, branch_name, use_bn=True, use_relu=True,
+        num_output=out2b, kernel_size=3, pad=1, stride=1, use_scale=use_scale,
+        conv_prefix=conv_prefix, conv_postfix=conv_postfix,
+        bn_prefix=bn_prefix, bn_postfix=bn_postfix,
+        scale_prefix=scale_prefix, scale_postfix=scale_postfix, **bn_param)
+  else:
+    pad = int((3 + (dilation - 1) * 2) - 1) / 2
+    ConvBNLayer(net, out_name, branch_name, use_bn=True, use_relu=True,
+        num_output=out2b, kernel_size=3, pad=pad, stride=1, use_scale=use_scale,
+        dilation=dilation, conv_prefix=conv_prefix, conv_postfix=conv_postfix,
+        bn_prefix=bn_prefix, bn_postfix=bn_postfix,
+        scale_prefix=scale_prefix, scale_postfix=scale_postfix, **bn_param)
+  out_name = '{}{}'.format(conv_prefix, branch_name)
+
+  branch_name = 'branch2c'
+  ConvBNLayer(net, out_name, branch_name, use_bn=True, use_relu=False,
+      num_output=out2c, kernel_size=1, pad=0, stride=1, use_scale=use_scale,
+      conv_prefix=conv_prefix, conv_postfix=conv_postfix,
+      bn_prefix=bn_prefix, bn_postfix=bn_postfix,
+      scale_prefix=scale_prefix, scale_postfix=scale_postfix, **bn_param)
+  branch2 = '{}{}'.format(conv_prefix, branch_name)
+
+  res_name = 'res{}'.format(block_name)
+  net[res_name] = L.Eltwise(net[branch1], net[branch2])
+  relu_name = '{}_relu'.format(res_name)
+  net[relu_name] = L.ReLU(net[res_name], in_place=True)
+
+
+def InceptionTower(net, from_layer, tower_name, layer_params, **bn_param):
+  use_scale = False
+  for param in layer_params:
+    tower_layer = '{}/{}'.format(tower_name, param['name'])
+    del param['name']
+    if 'pool' in tower_layer:
+      net[tower_layer] = L.Pooling(net[from_layer], **param)
+    else:
+      param.update(bn_param)
+      ConvBNLayer(net, from_layer, tower_layer, use_bn=True, use_relu=True,
+          use_scale=use_scale, **param)
+    from_layer = tower_layer
+  return net[from_layer]
+
+def CreateAnnotatedDataLayer(source, batch_size=32, backend=P.Data.LMDB,
+        output_label=True, train=True, label_map_file='', anno_type=None,
+        transform_param={}, batch_sampler=[{}]):
+    if train:
+        kwargs = {
+                'include': dict(phase=caffe_pb2.Phase.Value('TRAIN')),
+                'transform_param': transform_param,
+                }
+    else:
+        kwargs = {
+                'include': dict(phase=caffe_pb2.Phase.Value('TEST')),
+                'transform_param': transform_param,
+                }
+    ntop = 1
+    if output_label:
+        ntop = 2
+    annotated_data_param = {
+        'label_map_file': label_map_file,
+        'batch_sampler': batch_sampler,
+        }
+    if anno_type is not None:
+        annotated_data_param.update({'anno_type': anno_type})
+    return L.AnnotatedData(name="data", annotated_data_param=annotated_data_param,
+        data_param=dict(batch_size=batch_size, backend=backend, source=source),
+        ntop=ntop, **kwargs)
+
+
+def ZFNetBody(net, from_layer, need_fc=True, fully_conv=False, reduced=False,
+        dilated=False, dropout=True, need_fc8=False, freeze_layers=[]):
+    kwargs = {
+            'param': [dict(lr_mult=1, decay_mult=1), dict(lr_mult=2, decay_mult=0)],
+            'weight_filler': dict(type='xavier'),
+            'bias_filler': dict(type='constant', value=0)}
+
+    assert from_layer in net.keys()
+    net.conv1 = L.Convolution(net[from_layer], num_output=96, pad=3, kernel_size=7, stride=2, **kwargs)
+    net.relu1 = L.ReLU(net.conv1, in_place=True)
+
+    net.norm1 = L.LRN(net.relu1, local_size=3, alpha=0.00005, beta=0.75,
+            norm_region=P.LRN.WITHIN_CHANNEL, engine=P.LRN.CAFFE)
+
+    net.pool1 = L.Pooling(net.norm1, pool=P.Pooling.MAX, pad=1, kernel_size=3, stride=2)
+
+    net.conv2 = L.Convolution(net.pool1, num_output=256, pad=2, kernel_size=5, stride=2, **kwargs)
+    net.relu2 = L.ReLU(net.conv2, in_place=True)
+
+    net.norm2 = L.LRN(net.relu2, local_size=3, alpha=0.00005, beta=0.75,
+            norm_region=P.LRN.WITHIN_CHANNEL, engine=P.LRN.CAFFE)
+
+    net.pool2 = L.Pooling(net.norm2, pool=P.Pooling.MAX, pad=1, kernel_size=3, stride=2)
+
+    net.conv3 = L.Convolution(net.pool2, num_output=384, pad=1, kernel_size=3, **kwargs)
+    net.relu3 = L.ReLU(net.conv3, in_place=True)
+    net.conv4 = L.Convolution(net.relu3, num_output=384, pad=1, kernel_size=3, **kwargs)
+    net.relu4 = L.ReLU(net.conv4, in_place=True)
+    net.conv5 = L.Convolution(net.relu4, num_output=256, pad=1, kernel_size=3, **kwargs)
+    net.relu5 = L.ReLU(net.conv5, in_place=True)
+
+    if need_fc:
+        if dilated:
+            name = 'pool5'
+            net[name] = L.Pooling(net.relu5, pool=P.Pooling.MAX, pad=1, kernel_size=3, stride=1)
+        else:
+            name = 'pool5'
+            net[name] = L.Pooling(net.relu5, pool=P.Pooling.MAX, pad=1, kernel_size=3, stride=2)
+
+        if fully_conv:
+            if dilated:
+                if reduced:
+                    net.fc6 = L.Convolution(net[name], num_output=1024, pad=5, kernel_size=3, dilation=5, **kwargs)
+                else:
+                    net.fc6 = L.Convolution(net[name], num_output=4096, pad=5, kernel_size=6, dilation=2, **kwargs)
+            else:
+                if reduced:
+                    net.fc6 = L.Convolution(net[name], num_output=1024, pad=2, kernel_size=3, dilation=2,  **kwargs)
+                else:
+                    net.fc6 = L.Convolution(net[name], num_output=4096, pad=2, kernel_size=6, **kwargs)
+
+            net.relu6 = L.ReLU(net.fc6, in_place=True)
+            if dropout:
+                net.drop6 = L.Dropout(net.relu6, dropout_ratio=0.5, in_place=True)
+
+            if reduced:
+                net.fc7 = L.Convolution(net.relu6, num_output=1024, kernel_size=1, **kwargs)
+            else:
+                net.fc7 = L.Convolution(net.relu6, num_output=4096, kernel_size=1, **kwargs)
+            net.relu7 = L.ReLU(net.fc7, in_place=True)
+            if dropout:
+                net.drop7 = L.Dropout(net.relu7, dropout_ratio=0.5, in_place=True)
+        else:
+            net.fc6 = L.InnerProduct(net.pool5, num_output=4096)
+            net.relu6 = L.ReLU(net.fc6, in_place=True)
+            if dropout:
+                net.drop6 = L.Dropout(net.relu6, dropout_ratio=0.5, in_place=True)
+            net.fc7 = L.InnerProduct(net.relu6, num_output=4096)
+            net.relu7 = L.ReLU(net.fc7, in_place=True)
+            if dropout:
+                net.drop7 = L.Dropout(net.relu7, dropout_ratio=0.5, in_place=True)
+    if need_fc8:
+        from_layer = net.keys()[-1]
+        if fully_conv:
+            net.fc8 = L.Convolution(net[from_layer], num_output=1000, kernel_size=1, **kwargs)
+        else:
+            net.fc8 = L.InnerProduct(net[from_layer], num_output=1000)
+        net.prob = L.Softmax(net.fc8)
+
+    # Update freeze layers.
+    kwargs['param'] = [dict(lr_mult=0, decay_mult=0), dict(lr_mult=0, decay_mult=0)]
+    layers = net.keys()
+    for freeze_layer in freeze_layers:
+        if freeze_layer in layers:
+            net.update(freeze_layer, kwargs)
+
+    return net
+
+
+def VGGNetBody(net, from_layer, need_fc=True, fully_conv=False, reduced=False,
+        dilated=False, nopool=False, dropout=True, freeze_layers=[], dilate_pool4=False):
+    kwargs = {
+            'param': [dict(lr_mult=1, decay_mult=1), dict(lr_mult=2, decay_mult=0)],
+            'weight_filler': dict(type='xavier'),
+            'bias_filler': dict(type='constant', value=0)}
+
+    assert from_layer in net.keys()
+    net.conv1_1 = L.Convolution(net[from_layer], num_output=64, pad=1, kernel_size=3, **kwargs)
+
+    net.relu1_1 = L.ReLU(net.conv1_1, in_place=True)
+    net.conv1_2 = L.Convolution(net.relu1_1, num_output=64, pad=1, kernel_size=3, **kwargs)
+    net.relu1_2 = L.ReLU(net.conv1_2, in_place=True)
+
+    if nopool:
+        name = 'conv1_3'
+        net[name] = L.Convolution(net.relu1_2, num_output=64, pad=1, kernel_size=3, stride=2, **kwargs)
+    else:
+        name = 'pool1'
+        net.pool1 = L.Pooling(net.relu1_2, pool=P.Pooling.MAX, kernel_size=2, stride=2)
+
+    net.conv2_1 = L.Convolution(net[name], num_output=128, pad=1, kernel_size=3, **kwargs)
+    net.relu2_1 = L.ReLU(net.conv2_1, in_place=True)
+    net.conv2_2 = L.Convolution(net.relu2_1, num_output=128, pad=1, kernel_size=3, **kwargs)
+    net.relu2_2 = L.ReLU(net.conv2_2, in_place=True)
+
+    if nopool:
+        name = 'conv2_3'
+        net[name] = L.Convolution(net.relu2_2, num_output=128, pad=1, kernel_size=3, stride=2, **kwargs)
+    else:
+        name = 'pool2'
+        net[name] = L.Pooling(net.relu2_2, pool=P.Pooling.MAX, kernel_size=2, stride=2)
+
+    net.conv3_1 = L.Convolution(net[name], num_output=256, pad=1, kernel_size=3, **kwargs)
+    net.relu3_1 = L.ReLU(net.conv3_1, in_place=True)
+    net.conv3_2 = L.Convolution(net.relu3_1, num_output=256, pad=1, kernel_size=3, **kwargs)
+    net.relu3_2 = L.ReLU(net.conv3_2, in_place=True)
+    net.conv3_3 = L.Convolution(net.relu3_2, num_output=256, pad=1, kernel_size=3, **kwargs)
+    net.relu3_3 = L.ReLU(net.conv3_3, in_place=True)
+
+    if nopool:
+        name = 'conv3_4'
+        net[name] = L.Convolution(net.relu3_3, num_output=256, pad=1, kernel_size=3, stride=2, **kwargs)
+    else:
+        name = 'pool3'
+        net[name] = L.Pooling(net.relu3_3, pool=P.Pooling.MAX, kernel_size=2, stride=2)
+
+    net.conv4_1 = L.Convolution(net[name], num_output=512, pad=1, kernel_size=3, **kwargs)
+    net.relu4_1 = L.ReLU(net.conv4_1, in_place=True)
+    net.conv4_2 = L.Convolution(net.relu4_1, num_output=512, pad=1, kernel_size=3, **kwargs)
+    net.relu4_2 = L.ReLU(net.conv4_2, in_place=True)
+    net.conv4_3 = L.Convolution(net.relu4_2, num_output=512, pad=1, kernel_size=3, **kwargs)
+    net.relu4_3 = L.ReLU(net.conv4_3, in_place=True)
+
+    if nopool:
+        name = 'conv4_4'
+        net[name] = L.Convolution(net.relu4_3, num_output=512, pad=1, kernel_size=3, stride=2, **kwargs)
+    else:
+        name = 'pool4'
+        if dilate_pool4:
+            net[name] = L.Pooling(net.relu4_3, pool=P.Pooling.MAX, kernel_size=3, stride=1, pad=1)
+            dilation = 2
+        else:
+            net[name] = L.Pooling(net.relu4_3, pool=P.Pooling.MAX, kernel_size=2, stride=2)
+            dilation = 1
+
+    kernel_size = 3
+    pad = int((kernel_size + (dilation - 1) * (kernel_size - 1)) - 1) / 2
+    net.conv5_1 = L.Convolution(net[name], num_output=512, pad=pad, kernel_size=kernel_size, dilation=dilation, **kwargs)
+    net.relu5_1 = L.ReLU(net.conv5_1, in_place=True)
+    net.conv5_2 = L.Convolution(net.relu5_1, num_output=512, pad=pad, kernel_size=kernel_size, dilation=dilation, **kwargs)
+    net.relu5_2 = L.ReLU(net.conv5_2, in_place=True)
+    net.conv5_3 = L.Convolution(net.relu5_2, num_output=512, pad=pad, kernel_size=kernel_size, dilation=dilation, **kwargs)
+    net.relu5_3 = L.ReLU(net.conv5_3, in_place=True)
+
+    if need_fc:
+        if dilated:
+            if nopool:
+                name = 'conv5_4'
+                net[name] = L.Convolution(net.relu5_3, num_output=512, pad=1, kernel_size=3, stride=1, **kwargs)
+            else:
+                name = 'pool5'
+                net[name] = L.Pooling(net.relu5_3, pool=P.Pooling.MAX, pad=1, kernel_size=3, stride=1)
+        else:
+            if nopool:
+                name = 'conv5_4'
+                net[name] = L.Convolution(net.relu5_3, num_output=512, pad=1, kernel_size=3, stride=2, **kwargs)
+            else:
+                name = 'pool5'
+                net[name] = L.Pooling(net.relu5_3, pool=P.Pooling.MAX, kernel_size=2, stride=2)
+
+        if fully_conv:
+            if dilated:
+                if reduced:
+                    dilation = dilation * 6
+                    kernel_size = 3
+                    num_output = 1024
+                else:
+                    dilation = dilation * 2
+                    kernel_size = 7
+                    num_output = 4096
+            else:
+                if reduced:
+                    dilation = dilation * 3
+                    kernel_size = 3
+                    num_output = 1024
+                else:
+                    kernel_size = 7
+                    num_output = 4096
+            pad = int((kernel_size + (dilation - 1) * (kernel_size - 1)) - 1) / 2
+            net.fc6 = L.Convolution(net[name], num_output=num_output, pad=pad, kernel_size=kernel_size, dilation=dilation, **kwargs)
+
+            net.relu6 = L.ReLU(net.fc6, in_place=True)
+            if dropout:
+                net.drop6 = L.Dropout(net.relu6, dropout_ratio=0.5, in_place=True)
+
+            if reduced:
+                net.fc7 = L.Convolution(net.relu6, num_output=1024, kernel_size=1, **kwargs)
+            else:
+                net.fc7 = L.Convolution(net.relu6, num_output=4096, kernel_size=1, **kwargs)
+            net.relu7 = L.ReLU(net.fc7, in_place=True)
+            if dropout:
+                net.drop7 = L.Dropout(net.relu7, dropout_ratio=0.5, in_place=True)
+        else:
+            net.fc6 = L.InnerProduct(net.pool5, num_output=4096)
+            net.relu6 = L.ReLU(net.fc6, in_place=True)
+            if dropout:
+                net.drop6 = L.Dropout(net.relu6, dropout_ratio=0.5, in_place=True)
+            net.fc7 = L.InnerProduct(net.relu6, num_output=4096)
+            net.relu7 = L.ReLU(net.fc7, in_place=True)
+            if dropout:
+                net.drop7 = L.Dropout(net.relu7, dropout_ratio=0.5, in_place=True)
+
+    # Update freeze layers.
+    kwargs['param'] = [dict(lr_mult=0, decay_mult=0), dict(lr_mult=0, decay_mult=0)]
+    layers = net.keys()
+    for freeze_layer in freeze_layers:
+        if freeze_layer in layers:
+            net.update(freeze_layer, kwargs)
+
+    return net
+
+
+def ResNet101Body(net, from_layer, use_pool5=True, use_dilation_conv5=False, **bn_param):
+    conv_prefix = ''
+    conv_postfix = ''
+    bn_prefix = 'bn_'
+    bn_postfix = ''
+    scale_prefix = 'scale_'
+    scale_postfix = ''
+    ConvBNLayer(net, from_layer, 'conv1', use_bn=True, use_relu=True,
+        num_output=64, kernel_size=7, pad=3, stride=2,
+        conv_prefix=conv_prefix, conv_postfix=conv_postfix,
+        bn_prefix=bn_prefix, bn_postfix=bn_postfix,
+        scale_prefix=scale_prefix, scale_postfix=scale_postfix, **bn_param)
+
+    net.pool1 = L.Pooling(net.conv1, pool=P.Pooling.MAX, kernel_size=3, stride=2)
+
+    ResBody(net, 'pool1', '2a', out2a=64, out2b=64, out2c=256, stride=1, use_branch1=True, **bn_param)
+    ResBody(net, 'res2a', '2b', out2a=64, out2b=64, out2c=256, stride=1, use_branch1=False, **bn_param)
+    ResBody(net, 'res2b', '2c', out2a=64, out2b=64, out2c=256, stride=1, use_branch1=False, **bn_param)
+
+    ResBody(net, 'res2c', '3a', out2a=128, out2b=128, out2c=512, stride=2, use_branch1=True, **bn_param)
+
+    from_layer = 'res3a'
+    for i in xrange(1, 4):
+      block_name = '3b{}'.format(i)
+      ResBody(net, from_layer, block_name, out2a=128, out2b=128, out2c=512, stride=1, use_branch1=False, **bn_param)
+      from_layer = 'res{}'.format(block_name)
+
+    ResBody(net, from_layer, '4a', out2a=256, out2b=256, out2c=1024, stride=2, use_branch1=True, **bn_param)
+
+    from_layer = 'res4a'
+    for i in xrange(1, 23):
+      block_name = '4b{}'.format(i)
+      ResBody(net, from_layer, block_name, out2a=256, out2b=256, out2c=1024, stride=1, use_branch1=False, **bn_param)
+      from_layer = 'res{}'.format(block_name)
+
+    stride = 2
+    dilation = 1
+    if use_dilation_conv5:
+      stride = 1
+      dilation = 2
+
+    ResBody(net, from_layer, '5a', out2a=512, out2b=512, out2c=2048, stride=stride, use_branch1=True, dilation=dilation, **bn_param)
+    ResBody(net, 'res5a', '5b', out2a=512, out2b=512, out2c=2048, stride=1, use_branch1=False, dilation=dilation, **bn_param)
+    ResBody(net, 'res5b', '5c', out2a=512, out2b=512, out2c=2048, stride=1, use_branch1=False, dilation=dilation, **bn_param)
+
+    if use_pool5:
+      net.pool5 = L.Pooling(net.res5c, pool=P.Pooling.AVE, global_pooling=True)
+
+    return net
+
+
+def ResNet152Body(net, from_layer, use_pool5=True, use_dilation_conv5=False, **bn_param):
+    conv_prefix = ''
+    conv_postfix = ''
+    bn_prefix = 'bn_'
+    bn_postfix = ''
+    scale_prefix = 'scale_'
+    scale_postfix = ''
+    ConvBNLayer(net, from_layer, 'conv1', use_bn=True, use_relu=True,
+        num_output=64, kernel_size=7, pad=3, stride=2,
+        conv_prefix=conv_prefix, conv_postfix=conv_postfix,
+        bn_prefix=bn_prefix, bn_postfix=bn_postfix,
+        scale_prefix=scale_prefix, scale_postfix=scale_postfix, **bn_param)
+
+    net.pool1 = L.Pooling(net.conv1, pool=P.Pooling.MAX, kernel_size=3, stride=2)
+
+    ResBody(net, 'pool1', '2a', out2a=64, out2b=64, out2c=256, stride=1, use_branch1=True, **bn_param)
+    ResBody(net, 'res2a', '2b', out2a=64, out2b=64, out2c=256, stride=1, use_branch1=False, **bn_param)
+    ResBody(net, 'res2b', '2c', out2a=64, out2b=64, out2c=256, stride=1, use_branch1=False, **bn_param)
+
+    ResBody(net, 'res2c', '3a', out2a=128, out2b=128, out2c=512, stride=2, use_branch1=True, **bn_param)
+
+    from_layer = 'res3a'
+    for i in xrange(1, 8):
+      block_name = '3b{}'.format(i)
+      ResBody(net, from_layer, block_name, out2a=128, out2b=128, out2c=512, stride=1, use_branch1=False, **bn_param)
+      from_layer = 'res{}'.format(block_name)
+
+    ResBody(net, from_layer, '4a', out2a=256, out2b=256, out2c=1024, stride=2, use_branch1=True, **bn_param)
+
+    from_layer = 'res4a'
+    for i in xrange(1, 36):
+      block_name = '4b{}'.format(i)
+      ResBody(net, from_layer, block_name, out2a=256, out2b=256, out2c=1024, stride=1, use_branch1=False, **bn_param)
+      from_layer = 'res{}'.format(block_name)
+
+    stride = 2
+    dilation = 1
+    if use_dilation_conv5:
+      stride = 1
+      dilation = 2
+
+    ResBody(net, from_layer, '5a', out2a=512, out2b=512, out2c=2048, stride=stride, use_branch1=True, dilation=dilation, **bn_param)
+    ResBody(net, 'res5a', '5b', out2a=512, out2b=512, out2c=2048, stride=1, use_branch1=False, dilation=dilation, **bn_param)
+    ResBody(net, 'res5b', '5c', out2a=512, out2b=512, out2c=2048, stride=1, use_branch1=False, dilation=dilation, **bn_param)
+
+    if use_pool5:
+      net.pool5 = L.Pooling(net.res5c, pool=P.Pooling.AVE, global_pooling=True)
+
+    return net
+
+
+def InceptionV3Body(net, from_layer, output_pred=False, **bn_param):
+  # scale is fixed to 1, thus we ignore it.
+  use_scale = False
+
+  out_layer = 'conv'
+  ConvBNLayer(net, from_layer, out_layer, use_bn=True, use_relu=True,
+      num_output=32, kernel_size=3, pad=0, stride=2, use_scale=use_scale,
+      **bn_param)
+  from_layer = out_layer
+
+  out_layer = 'conv_1'
+  ConvBNLayer(net, from_layer, out_layer, use_bn=True, use_relu=True,
+      num_output=32, kernel_size=3, pad=0, stride=1, use_scale=use_scale,
+      **bn_param)
+  from_layer = out_layer
+
+  out_layer = 'conv_2'
+  ConvBNLayer(net, from_layer, out_layer, use_bn=True, use_relu=True,
+      num_output=64, kernel_size=3, pad=1, stride=1, use_scale=use_scale,
+      **bn_param)
+  from_layer = out_layer
+
+  out_layer = 'pool'
+  net[out_layer] = L.Pooling(net[from_layer], pool=P.Pooling.MAX,
+      kernel_size=3, stride=2, pad=0)
+  from_layer = out_layer
+
+  out_layer = 'conv_3'
+  ConvBNLayer(net, from_layer, out_layer, use_bn=True, use_relu=True,
+      num_output=80, kernel_size=1, pad=0, stride=1, use_scale=use_scale,
+      **bn_param)
+  from_layer = out_layer
+
+  out_layer = 'conv_4'
+  ConvBNLayer(net, from_layer, out_layer, use_bn=True, use_relu=True,
+      num_output=192, kernel_size=3, pad=0, stride=1, use_scale=use_scale,
+      **bn_param)
+  from_layer = out_layer
+
+  out_layer = 'pool_1'
+  net[out_layer] = L.Pooling(net[from_layer], pool=P.Pooling.MAX,
+      kernel_size=3, stride=2, pad=0)
+  from_layer = out_layer
+
+  # inceptions with 1x1, 3x3, 5x5 convolutions
+  for inception_id in xrange(0, 3):
+    if inception_id == 0:
+      out_layer = 'mixed'
+      tower_2_conv_num_output = 32
+    else:
+      out_layer = 'mixed_{}'.format(inception_id)
+      tower_2_conv_num_output = 64
+    towers = []
+    tower_name = '{}'.format(out_layer)
+    tower = InceptionTower(net, from_layer, tower_name, [
+        dict(name='conv', num_output=64, kernel_size=1, pad=0, stride=1),
+        ], **bn_param)
+    towers.append(tower)
+    tower_name = '{}/tower'.format(out_layer)
+    tower = InceptionTower(net, from_layer, tower_name, [
+        dict(name='conv', num_output=48, kernel_size=1, pad=0, stride=1),
+        dict(name='conv_1', num_output=64, kernel_size=5, pad=2, stride=1),
+        ], **bn_param)
+    towers.append(tower)
+    tower_name = '{}/tower_1'.format(out_layer)
+    tower = InceptionTower(net, from_layer, tower_name, [
+        dict(name='conv', num_output=64, kernel_size=1, pad=0, stride=1),
+        dict(name='conv_1', num_output=96, kernel_size=3, pad=1, stride=1),
+        dict(name='conv_2', num_output=96, kernel_size=3, pad=1, stride=1),
+        ], **bn_param)
+    towers.append(tower)
+    tower_name = '{}/tower_2'.format(out_layer)
+    tower = InceptionTower(net, from_layer, tower_name, [
+        dict(name='pool', pool=P.Pooling.AVE, kernel_size=3, pad=1, stride=1),
+        dict(name='conv', num_output=tower_2_conv_num_output, kernel_size=1, pad=0, stride=1),
+        ], **bn_param)
+    towers.append(tower)
+    out_layer = '{}/join'.format(out_layer)
+    net[out_layer] = L.Concat(*towers, axis=1)
+    from_layer = out_layer
+
+  # inceptions with 1x1, 3x3(in sequence) convolutions
+  out_layer = 'mixed_3'
+  towers = []
+  tower_name = '{}'.format(out_layer)
+  tower = InceptionTower(net, from_layer, tower_name, [
+      dict(name='conv', num_output=384, kernel_size=3, pad=0, stride=2),
+      ], **bn_param)
+  towers.append(tower)
+  tower_name = '{}/tower'.format(out_layer)
+  tower = InceptionTower(net, from_layer, tower_name, [
+      dict(name='conv', num_output=64, kernel_size=1, pad=0, stride=1),
+      dict(name='conv_1', num_output=96, kernel_size=3, pad=1, stride=1),
+      dict(name='conv_2', num_output=96, kernel_size=3, pad=0, stride=2),
+      ], **bn_param)
+  towers.append(tower)
+  tower_name = '{}'.format(out_layer)
+  tower = InceptionTower(net, from_layer, tower_name, [
+      dict(name='pool', pool=P.Pooling.MAX, kernel_size=3, pad=0, stride=2),
+      ], **bn_param)
+  towers.append(tower)
+  out_layer = '{}/join'.format(out_layer)
+  net[out_layer] = L.Concat(*towers, axis=1)
+  from_layer = out_layer
+
+  # inceptions with 1x1, 7x1, 1x7 convolutions
+  for inception_id in xrange(4, 8):
+    if inception_id == 4:
+      num_output = 128
+    elif inception_id == 5 or inception_id == 6:
+      num_output = 160
+    elif inception_id == 7:
+      num_output = 192
+    out_layer = 'mixed_{}'.format(inception_id)
+    towers = []
+    tower_name = '{}'.format(out_layer)
+    tower = InceptionTower(net, from_layer, tower_name, [
+        dict(name='conv', num_output=192, kernel_size=1, pad=0, stride=1),
+        ], **bn_param)
+    towers.append(tower)
+    tower_name = '{}/tower'.format(out_layer)
+    tower = InceptionTower(net, from_layer, tower_name, [
+        dict(name='conv', num_output=num_output, kernel_size=1, pad=0, stride=1),
+        dict(name='conv_1', num_output=num_output, kernel_size=[1, 7], pad=[0, 3], stride=[1, 1]),
+        dict(name='conv_2', num_output=192, kernel_size=[7, 1], pad=[3, 0], stride=[1, 1]),
+        ], **bn_param)
+    towers.append(tower)
+    tower_name = '{}/tower_1'.format(out_layer)
+    tower = InceptionTower(net, from_layer, tower_name, [
+        dict(name='conv', num_output=num_output, kernel_size=1, pad=0, stride=1),
+        dict(name='conv_1', num_output=num_output, kernel_size=[7, 1], pad=[3, 0], stride=[1, 1]),
+        dict(name='conv_2', num_output=num_output, kernel_size=[1, 7], pad=[0, 3], stride=[1, 1]),
+        dict(name='conv_3', num_output=num_output, kernel_size=[7, 1], pad=[3, 0], stride=[1, 1]),
+        dict(name='conv_4', num_output=192, kernel_size=[1, 7], pad=[0, 3], stride=[1, 1]),
+        ], **bn_param)
+    towers.append(tower)
+    tower_name = '{}/tower_2'.format(out_layer)
+    tower = InceptionTower(net, from_layer, tower_name, [
+        dict(name='pool', pool=P.Pooling.AVE, kernel_size=3, pad=1, stride=1),
+        dict(name='conv', num_output=192, kernel_size=1, pad=0, stride=1),
+        ], **bn_param)
+    towers.append(tower)
+    out_layer = '{}/join'.format(out_layer)
+    net[out_layer] = L.Concat(*towers, axis=1)
+    from_layer = out_layer
+
+  # inceptions with 1x1, 3x3, 1x7, 7x1 filters
+  out_layer = 'mixed_8'
+  towers = []
+  tower_name = '{}/tower'.format(out_layer)
+  tower = InceptionTower(net, from_layer, tower_name, [
+      dict(name='conv', num_output=192, kernel_size=1, pad=0, stride=1),
+      dict(name='conv_1', num_output=320, kernel_size=3, pad=0, stride=2),
+      ], **bn_param)
+  towers.append(tower)
+  tower_name = '{}/tower_1'.format(out_layer)
+  tower = InceptionTower(net, from_layer, tower_name, [
+      dict(name='conv', num_output=192, kernel_size=1, pad=0, stride=1),
+      dict(name='conv_1', num_output=192, kernel_size=[1, 7], pad=[0, 3], stride=[1, 1]),
+      dict(name='conv_2', num_output=192, kernel_size=[7, 1], pad=[3, 0], stride=[1, 1]),
+      dict(name='conv_3', num_output=192, kernel_size=3, pad=0, stride=2),
+      ], **bn_param)
+  towers.append(tower)
+  tower_name = '{}'.format(out_layer)
+  tower = InceptionTower(net, from_layer, tower_name, [
+      dict(name='pool', pool=P.Pooling.MAX, kernel_size=3, pad=0, stride=2),
+      ], **bn_param)
+  towers.append(tower)
+  out_layer = '{}/join'.format(out_layer)
+  net[out_layer] = L.Concat(*towers, axis=1)
+  from_layer = out_layer
+
+  for inception_id in xrange(9, 11):
+    num_output = 384
+    num_output2 = 448
+    if inception_id == 9:
+      pool = P.Pooling.AVE
+    else:
+      pool = P.Pooling.MAX
+    out_layer = 'mixed_{}'.format(inception_id)
+    towers = []
+    tower_name = '{}'.format(out_layer)
+    tower = InceptionTower(net, from_layer, tower_name, [
+        dict(name='conv', num_output=320, kernel_size=1, pad=0, stride=1),
+        ], **bn_param)
+    towers.append(tower)
+
+    tower_name = '{}/tower'.format(out_layer)
+    tower = InceptionTower(net, from_layer, tower_name, [
+        dict(name='conv', num_output=num_output, kernel_size=1, pad=0, stride=1),
+        ], **bn_param)
+    subtowers = []
+    subtower_name = '{}/mixed'.format(tower_name)
+    subtower = InceptionTower(net, '{}/conv'.format(tower_name), subtower_name, [
+        dict(name='conv', num_output=num_output, kernel_size=[1, 3], pad=[0, 1], stride=[1, 1]),
+        ], **bn_param)
+    subtowers.append(subtower)
+    subtower = InceptionTower(net, '{}/conv'.format(tower_name), subtower_name, [
+        dict(name='conv_1', num_output=num_output, kernel_size=[3, 1], pad=[1, 0], stride=[1, 1]),
+        ], **bn_param)
+    subtowers.append(subtower)
+    net[subtower_name] = L.Concat(*subtowers, axis=1)
+    towers.append(net[subtower_name])
+
+    tower_name = '{}/tower_1'.format(out_layer)
+    tower = InceptionTower(net, from_layer, tower_name, [
+        dict(name='conv', num_output=num_output2, kernel_size=1, pad=0, stride=1),
+        dict(name='conv_1', num_output=num_output, kernel_size=3, pad=1, stride=1),
+        ], **bn_param)
+    subtowers = []
+    subtower_name = '{}/mixed'.format(tower_name)
+    subtower = InceptionTower(net, '{}/conv_1'.format(tower_name), subtower_name, [
+        dict(name='conv', num_output=num_output, kernel_size=[1, 3], pad=[0, 1], stride=[1, 1]),
+        ], **bn_param)
+    subtowers.append(subtower)
+    subtower = InceptionTower(net, '{}/conv_1'.format(tower_name), subtower_name, [
+        dict(name='conv_1', num_output=num_output, kernel_size=[3, 1], pad=[1, 0], stride=[1, 1]),
+        ], **bn_param)
+    subtowers.append(subtower)
+    net[subtower_name] = L.Concat(*subtowers, axis=1)
+    towers.append(net[subtower_name])
+
+    tower_name = '{}/tower_2'.format(out_layer)
+    tower = InceptionTower(net, from_layer, tower_name, [
+        dict(name='pool', pool=pool, kernel_size=3, pad=1, stride=1),
+        dict(name='conv', num_output=192, kernel_size=1, pad=0, stride=1),
+        ], **bn_param)
+    towers.append(tower)
+    out_layer = '{}/join'.format(out_layer)
+    net[out_layer] = L.Concat(*towers, axis=1)
+    from_layer = out_layer
+
+  if output_pred:
+    net.pool_3 = L.Pooling(net[from_layer], pool=P.Pooling.AVE, kernel_size=8, pad=0, stride=1)
+    net.softmax = L.InnerProduct(net.pool_3, num_output=1008)
+    net.softmax_prob = L.Softmax(net.softmax)
+
+  return net
+
+def CreateMultiBoxHead(net, data_layer="data", num_classes=[], from_layers=[],
+        use_objectness=False, normalizations=[], use_batchnorm=True, lr_mult=1,
+        use_scale=True, min_sizes=[], max_sizes=[], prior_variance = [0.1],
+        aspect_ratios=[], steps=[], img_height=0, img_width=0, share_location=True,
+        flip=True, clip=True, offset=0.5, inter_layer_depth=[], kernel_size=1, pad=0,
+        conf_postfix='', loc_postfix='', **bn_param):
+    assert num_classes, "must provide num_classes"
+    assert num_classes > 0, "num_classes must be positive number"
+    if normalizations:
+        assert len(from_layers) == len(normalizations), "from_layers and normalizations should have same length"
+    assert len(from_layers) == len(min_sizes), "from_layers and min_sizes should have same length"
+    if max_sizes:
+        assert len(from_layers) == len(max_sizes), "from_layers and max_sizes should have same length"
+    if aspect_ratios:
+        assert len(from_layers) == len(aspect_ratios), "from_layers and aspect_ratios should have same length"
+    if steps:
+        assert len(from_layers) == len(steps), "from_layers and steps should have same length"
+    net_layers = net.keys()
+    assert data_layer in net_layers, "data_layer is not in net's layers"
+    if inter_layer_depth:
+        assert len(from_layers) == len(inter_layer_depth), "from_layers and inter_layer_depth should have same length"
+
+    num = len(from_layers)
+    priorbox_layers = []
+    loc_layers = []
+    conf_layers = []
+    objectness_layers = []
+    for i in range(0, num):
+        from_layer = from_layers[i]
+
+        # Get the normalize value.
+        if normalizations:
+            if normalizations[i] != -1:
+                norm_name = "{}_norm".format(from_layer)
+                net[norm_name] = L.Normalize(net[from_layer], scale_filler=dict(type="constant", value=normalizations[i]),
+                    across_spatial=False, channel_shared=False)
+                from_layer = norm_name
+
+        # Add intermediate layers.
+        if inter_layer_depth:
+            if inter_layer_depth[i] > 0:
+                inter_name = "{}_inter".format(from_layer)
+                ConvBNLayer(net, from_layer, inter_name, use_bn=use_batchnorm, use_relu=True, lr_mult=lr_mult,
+                      num_output=inter_layer_depth[i], kernel_size=3, pad=1, stride=1, **bn_param)
+                from_layer = inter_name
+
+        # Estimate number of priors per location given provided parameters.
+        min_size = min_sizes[i]
+        if type(min_size) is not list:
+            min_size = [min_size]
+        aspect_ratio = []
+        if len(aspect_ratios) > i:
+            aspect_ratio = aspect_ratios[i]
+            if type(aspect_ratio) is not list:
+                aspect_ratio = [aspect_ratio]
+        max_size = []
+        if len(max_sizes) > i:
+            max_size = max_sizes[i]
+            if type(max_size) is not list:
+                max_size = [max_size]
+            if max_size:
+                assert len(max_size) == len(min_size), "max_size and min_size should have same length."
+        if max_size:
+            num_priors_per_location = (2 + len(aspect_ratio)) * len(min_size)
+        else:
+            num_priors_per_location = (1 + len(aspect_ratio)) * len(min_size)
+        if flip:
+            num_priors_per_location += len(aspect_ratio) * len(min_size)
+        step = []
+        if len(steps) > i:
+            step = steps[i]
+
+        # Create location prediction layer.
+        name = "{}_mbox_loc{}".format(from_layer, loc_postfix)
+        num_loc_output = num_priors_per_location * 4;
+        if not share_location:
+            num_loc_output *= num_classes
+        ConvBNLayer(net, from_layer, name, use_bn=use_batchnorm, use_relu=False, lr_mult=lr_mult,
+            num_output=num_loc_output, kernel_size=kernel_size, pad=pad, stride=1, **bn_param)
+        permute_name = "{}_perm".format(name)
+        net[permute_name] = L.Permute(net[name], order=[0, 2, 3, 1])
+        flatten_name = "{}_flat".format(name)
+        net[flatten_name] = L.Flatten(net[permute_name], axis=1)
+        loc_layers.append(net[flatten_name])
+
+        # Create confidence prediction layer.
+        name = "{}_mbox_conf{}".format(from_layer, conf_postfix)
+        num_conf_output = num_priors_per_location * num_classes;
+        ConvBNLayer(net, from_layer, name, use_bn=use_batchnorm, use_relu=False, lr_mult=lr_mult,
+            num_output=num_conf_output, kernel_size=kernel_size, pad=pad, stride=1, **bn_param)
+        permute_name = "{}_perm".format(name)
+        net[permute_name] = L.Permute(net[name], order=[0, 2, 3, 1])
+        flatten_name = "{}_flat".format(name)
+        net[flatten_name] = L.Flatten(net[permute_name], axis=1)
+        conf_layers.append(net[flatten_name])
+
+        # Create prior generation layer.
+        name = "{}_mbox_priorbox".format(from_layer)
+        net[name] = L.PriorBox(net[from_layer], net[data_layer], min_size=min_size,
+                clip=clip, variance=prior_variance, offset=offset)
+        if max_size:
+            net.update(name, {'max_size': max_size})
+        if aspect_ratio:
+            net.update(name, {'aspect_ratio': aspect_ratio, 'flip': flip})
+        if step:
+            net.update(name, {'step': step})
+        if img_height != 0 and img_width != 0:
+            if img_height == img_width:
+                net.update(name, {'img_size': img_height})
+            else:
+                net.update(name, {'img_h': img_height, 'img_w': img_width})
+        priorbox_layers.append(net[name])
+
+        # Create objectness prediction layer.
+        if use_objectness:
+            name = "{}_mbox_objectness".format(from_layer)
+            num_obj_output = num_priors_per_location * 2;
+            ConvBNLayer(net, from_layer, name, use_bn=use_batchnorm, use_relu=False, lr_mult=lr_mult,
+                num_output=num_obj_output, kernel_size=kernel_size, pad=pad, stride=1, **bn_param)
+            permute_name = "{}_perm".format(name)
+            net[permute_name] = L.Permute(net[name], order=[0, 2, 3, 1])
+            flatten_name = "{}_flat".format(name)
+            net[flatten_name] = L.Flatten(net[permute_name], axis=1)
+            objectness_layers.append(net[flatten_name])
+
+    # Concatenate priorbox, loc, and conf layers.
+    mbox_layers = []
+    name = "mbox_loc"
+    net[name] = L.Concat(*loc_layers, axis=1)
+    mbox_layers.append(net[name])
+    name = "mbox_conf"
+    net[name] = L.Concat(*conf_layers, axis=1)
+    mbox_layers.append(net[name])
+    name = "mbox_priorbox"
+    net[name] = L.Concat(*priorbox_layers, axis=2)
+    mbox_layers.append(net[name])
+    if use_objectness:
+        name = "mbox_objectness"
+        net[name] = L.Concat(*objectness_layers, axis=1)
+        mbox_layers.append(net[name])
+
+    return mbox_layers
diff --git a/examples/ssd/plot_detections.py b/examples/ssd/plot_detections.py
new file mode 100644
index 00000000000..e682b4b5e07
--- /dev/null
+++ b/examples/ssd/plot_detections.py
@@ -0,0 +1,124 @@
+'''
+Plot the detection results output by ssd_detect.cpp.
+'''
+
+import argparse
+from collections import OrderedDict
+from google.protobuf import text_format
+import matplotlib
+# Force matplotlib to not use any Xwindows backend.
+matplotlib.use('Agg')
+import matplotlib.pyplot as plt
+import numpy as np
+import os
+import skimage.io as io
+import sys
+
+import caffe
+from caffe.proto import caffe_pb2
+
+def get_labelname(labelmap, labels):
+    num_labels = len(labelmap.item)
+    labelnames = []
+    if type(labels) is not list:
+        labels = [labels]
+    for label in labels:
+        found = False
+        for i in xrange(0, num_labels):
+            if label == labelmap.item[i].label:
+                found = True
+                labelnames.append(labelmap.item[i].display_name)
+                break
+        assert found == True
+    return labelnames
+
+def showResults(img_file, results, labelmap=None, threshold=None, display=None):
+    if not os.path.exists(img_file):
+        print "{} does not exist".format(img_file)
+        return
+    img = io.imread(img_file)
+    plt.clf()
+    plt.imshow(img)
+    plt.axis('off');
+    ax = plt.gca()
+    if labelmap:
+        # generate same number of colors as classes in labelmap.
+        num_classes = len(labelmap.item)
+    else:
+        # generate 20 colors.
+        num_classes = 20
+    colors = plt.cm.hsv(np.linspace(0, 1, num_classes)).tolist()
+    for res in results:
+        if 'score' in res and threshold and float(res["score"]) < threshold:
+            continue
+        label = res['label']
+        name = "class " + str(label)
+        if labelmap:
+            name = get_labelname(labelmap, label)[0]
+        if display_classes and name not in display_classes:
+            continue
+        color = colors[label % num_classes]
+        bbox = res['bbox']
+        coords = (bbox[0], bbox[1]), bbox[2] - bbox[0], bbox[3] - bbox[1]
+        ax.add_patch(plt.Rectangle(*coords, fill=False, edgecolor=color, linewidth=3))
+        if 'score' in res:
+            score = res['score']
+            display_text = '%s: %.2f' % (name, score)
+        else:
+            display_text = name
+        ax.text(bbox[0], bbox[1], display_text, bbox={'facecolor':color, 'alpha':0.5})
+    if len(results) > 0 and "out_file" in results[0]:
+        plt.savefig(results[0]["out_file"], bbox_inches="tight")
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(
+            description = "Plot the detection results output by ssd_detect.")
+    parser.add_argument("resultfile",
+            help = "A file which contains all the detection results.")
+    parser.add_argument("imgdir",
+            help = "A directory which contains the images.")
+    parser.add_argument("--labelmap-file", default="",
+            help = "A file which contains the LabelMap.")
+    parser.add_argument("--visualize-threshold", default=0.01, type=float,
+            help = "Display detections with score higher than the threshold.")
+    parser.add_argument("--save-dir", default="",
+            help = "A directory which saves the image with detection results.")
+    parser.add_argument("--display-classes", default=None,
+            help = "If provided, only display specified class. Separate by ','")
+
+    args = parser.parse_args()
+    result_file = args.resultfile
+    img_dir = args.imgdir
+    if not os.path.exists(img_dir):
+        print "{} does not exist".format(img_dir)
+        sys.exit()
+    labelmap_file = args.labelmap_file
+    labelmap = None
+    if labelmap_file and os.path.exists(labelmap_file):
+        file = open(labelmap_file, 'r')
+        labelmap = caffe_pb2.LabelMap()
+        text_format.Merge(str(file.read()), labelmap)
+    visualize_threshold = args.visualize_threshold
+    save_dir = args.save_dir
+    if save_dir and not os.path.exists(save_dir):
+        os.makedirs(save_dir)
+    display_classes = args.display_classes
+
+    img_results = OrderedDict()
+    with open(result_file, "r") as f:
+        for line in f.readlines():
+            img_name, label, score, xmin, ymin, xmax, ymax = line.strip("\n").split()
+            img_file = "{}/{}".format(img_dir, img_name)
+            result = dict()
+            result["label"] = int(label)
+            result["score"] = float(score)
+            result["bbox"] = [float(xmin), float(ymin), float(xmax), float(ymax)]
+            if save_dir:
+                out_file = "{}/{}.png".format(save_dir, os.path.basename(img_name))
+                result["out_file"] = out_file
+            if img_file not in img_results:
+                img_results[img_file] = [result]
+            else:
+                img_results[img_file].append(result)
+    for img_file, results in img_results.iteritems():
+        showResults(img_file, results, labelmap, visualize_threshold, display_classes)
diff --git a/examples/ssd/score_ssd_coco.py b/examples/ssd/score_ssd_coco.py
new file mode 100644
index 00000000000..5d817092f07
--- /dev/null
+++ b/examples/ssd/score_ssd_coco.py
@@ -0,0 +1,558 @@
+from __future__ import print_function
+import caffe
+from google.protobuf import text_format
+
+import math
+import os
+import shutil
+import stat
+import subprocess
+import sys
+
+sys.path.insert(0, 'examples/ssd')
+from model_libs import *
+
+# Add extra layers on top of a "base" network (e.g. VGGNet or Inception).
+def AddExtraLayers(net, use_batchnorm=True, lr_mult=1):
+    use_relu = True
+
+    # Add additional convolutional layers.
+    # 19 x 19
+    from_layer = net.keys()[-1]
+
+    # TODO(weiliu89): Construct the name using the last layer to avoid duplication.
+    # 10 x 10
+    out_layer = "conv6_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 1, 0, 1,
+        lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv6_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 512, 3, 1, 2,
+        lr_mult=lr_mult)
+
+    # 5 x 5
+    from_layer = out_layer
+    out_layer = "conv7_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv7_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 1, 2,
+      lr_mult=lr_mult)
+
+    # 3 x 3
+    from_layer = out_layer
+    out_layer = "conv8_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv8_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 0, 1,
+      lr_mult=lr_mult)
+
+    # 1 x 1
+    from_layer = out_layer
+    out_layer = "conv9_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv9_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 0, 1,
+      lr_mult=lr_mult)
+
+    return net
+
+
+### Modify the following parameters accordingly ###
+# Notice: we do evaluation by setting the solver parameters approximately.
+# The reason that we do not use ./build/tools/caffe test ... is because it
+# only supports testing for classification problem now.
+# The directory which contains the caffe code.
+# We assume you are running the script at the CAFFE_ROOT.
+caffe_root = os.getcwd()
+
+# Set true if you want to start training right after generating all files.
+run_soon = True
+
+# The database file for training data. Created by data/coco/create_data.sh
+train_data = "examples/coco/coco_train_lmdb"
+# The database file for testing data. Created by data/coco/create_data.sh
+test_data = "examples/coco/coco_minival_lmdb"
+# Specify the batch sampler.
+resize_width = 300
+resize_height = 300
+resize = "{}x{}".format(resize_width, resize_height)
+batch_sampler = [
+        {
+                'sampler': {
+                        },
+                'max_trials': 1,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.1,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.3,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.5,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.7,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.9,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'max_jaccard_overlap': 1.0,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        ]
+train_transform_param = {
+        'mirror': True,
+        'mean_value': [104, 117, 123],
+        'force_color': True,
+        'resize_param': {
+                'prob': 1,
+                'resize_mode': P.Resize.WARP,
+                'height': resize_height,
+                'width': resize_width,
+                'interp_mode': [
+                        P.Resize.LINEAR,
+                        P.Resize.AREA,
+                        P.Resize.NEAREST,
+                        P.Resize.CUBIC,
+                        P.Resize.LANCZOS4,
+                        ],
+                },
+        'distort_param': {
+                'brightness_prob': 0.5,
+                'brightness_delta': 32,
+                'contrast_prob': 0.5,
+                'contrast_lower': 0.5,
+                'contrast_upper': 1.5,
+                'hue_prob': 0.5,
+                'hue_delta': 18,
+                'saturation_prob': 0.5,
+                'saturation_lower': 0.5,
+                'saturation_upper': 1.5,
+                'random_order_prob': 0.0,
+                },
+        'expand_param': {
+                'prob': 0.5,
+                'max_expand_ratio': 4.0,
+                },
+        'emit_constraint': {
+            'emit_type': caffe_pb2.EmitConstraint.CENTER,
+            }
+        }
+test_transform_param = {
+        'mean_value': [104, 117, 123],
+        'force_color': True,
+        'resize_param': {
+                'prob': 1,
+                'resize_mode': P.Resize.WARP,
+                'height': resize_height,
+                'width': resize_width,
+                'interp_mode': [P.Resize.LINEAR],
+                },
+        }
+
+# If true, use batch norm for all newly added layers.
+# Currently only the non batch norm version has been tested.
+use_batchnorm = False
+lr_mult = 1
+# Use different initial learning rate.
+if use_batchnorm:
+    base_lr = 0.0004
+else:
+    # A learning rate for batch_size = 1, num_gpus = 1.
+    base_lr = 0.00004
+
+# The job name should be same as the name used in examples/ssd/ssd_coco.py.
+job_name = "SSD_{}".format(resize)
+# The name of the model. Modify it if you want.
+model_name = "VGG_coco_{}".format(job_name)
+
+# Directory which stores the model .prototxt file.
+save_dir = "models/VGGNet/coco/{}_score".format(job_name)
+# Directory which stores the snapshot of trained models.
+snapshot_dir = "models/VGGNet/coco/{}".format(job_name)
+# Directory which stores the job script and log file.
+job_dir = "jobs/VGGNet/coco/{}_score".format(job_name)
+# Directory which stores the detection results.
+output_result_dir = "{}/data/mscoco/results/{}_score/".format(os.environ['HOME'], job_name)
+
+# model definition files.
+train_net_file = "{}/train.prototxt".format(save_dir)
+test_net_file = "{}/test.prototxt".format(save_dir)
+deploy_net_file = "{}/deploy.prototxt".format(save_dir)
+solver_file = "{}/solver.prototxt".format(save_dir)
+# snapshot prefix.
+snapshot_prefix = "{}/{}".format(snapshot_dir, model_name)
+# job script path.
+job_file = "{}/{}.sh".format(job_dir, model_name)
+
+# Find most recent snapshot.
+max_iter = 0
+for file in os.listdir(snapshot_dir):
+  if file.endswith(".caffemodel"):
+    basename = os.path.splitext(file)[0]
+    iter = int(basename.split("{}_iter_".format(model_name))[1])
+    if iter > max_iter:
+      max_iter = iter
+
+if max_iter == 0:
+  print("Cannot find snapshot in {}".format(snapshot_dir))
+  sys.exit()
+
+# Stores the test image names and sizes. Created by data/coco/create_list.sh
+name_size_file = "data/coco/minival2014_name_size.txt"
+# The resume model.
+pretrain_model = "{}_iter_{}.caffemodel".format(snapshot_prefix, max_iter)
+# Stores LabelMapItem.
+label_map_file = "data/coco/labelmap_coco.prototxt"
+
+# MultiBoxLoss parameters.
+num_classes = 81
+share_location = True
+background_label_id=0
+train_on_diff_gt = False
+normalization_mode = P.Loss.VALID
+code_type = P.PriorBox.CENTER_SIZE
+ignore_cross_boundary_bbox = False
+mining_type = P.MultiBoxLoss.MAX_NEGATIVE
+neg_pos_ratio = 3.
+loc_weight = (neg_pos_ratio + 1.) / 4.
+multibox_loss_param = {
+    'loc_loss_type': P.MultiBoxLoss.SMOOTH_L1,
+    'conf_loss_type': P.MultiBoxLoss.SOFTMAX,
+    'loc_weight': loc_weight,
+    'num_classes': num_classes,
+    'share_location': share_location,
+    'match_type': P.MultiBoxLoss.PER_PREDICTION,
+    'overlap_threshold': 0.5,
+    'use_prior_for_matching': True,
+    'background_label_id': background_label_id,
+    'use_difficult_gt': train_on_diff_gt,
+    'mining_type': mining_type,
+    'neg_pos_ratio': neg_pos_ratio,
+    'neg_overlap': 0.5,
+    'code_type': code_type,
+    'ignore_cross_boundary_bbox': ignore_cross_boundary_bbox,
+    }
+loss_param = {
+    'normalization': normalization_mode,
+    }
+
+# parameters for generating priors.
+# minimum dimension of input image
+min_dim = 300
+# conv4_3 ==> 38 x 38
+# fc7 ==> 19 x 19
+# conv6_2 ==> 10 x 10
+# conv7_2 ==> 5 x 5
+# conv8_2 ==> 3 x 3
+# conv9_2 ==> 1 x 1
+mbox_source_layers = ['conv4_3', 'fc7', 'conv6_2', 'conv7_2', 'conv8_2', 'conv9_2']
+# in percent %
+min_ratio = 15
+max_ratio = 90
+step = int(math.floor((max_ratio - min_ratio) / (len(mbox_source_layers) - 2)))
+min_sizes = []
+max_sizes = []
+for ratio in xrange(min_ratio, max_ratio + 1, step):
+  min_sizes.append(min_dim * ratio / 100.)
+  max_sizes.append(min_dim * (ratio + step) / 100.)
+min_sizes = [min_dim * 7 / 100.] + min_sizes
+max_sizes = [min_dim * 15 / 100.] + max_sizes
+steps = [8, 16, 32, 64, 100, 300]
+aspect_ratios = [[2], [2, 3], [2, 3], [2, 3], [2], [2]]
+# L2 normalize conv4_3.
+normalizations = [20, -1, -1, -1, -1, -1]
+# variance used to encode/decode prior bboxes.
+if code_type == P.PriorBox.CENTER_SIZE:
+  prior_variance = [0.1, 0.1, 0.2, 0.2]
+else:
+  prior_variance = [0.1]
+flip = True
+clip = False
+
+# Solver parameters.
+# Defining which GPUs to use.
+gpus = "0"
+gpulist = gpus.split(",")
+num_gpus = len(gpulist)
+
+# The number does not matter since we do not do training with this script.
+batch_size = 1
+accum_batch_size = 1
+iter_size = accum_batch_size / batch_size
+solver_mode = P.Solver.CPU
+device_id = 0
+batch_size_per_device = batch_size
+if num_gpus > 0:
+  batch_size_per_device = int(math.ceil(float(batch_size) / num_gpus))
+  iter_size = int(math.ceil(float(accum_batch_size) / (batch_size_per_device * num_gpus)))
+  solver_mode = P.Solver.GPU
+  device_id = int(gpulist[0])
+
+if normalization_mode == P.Loss.NONE:
+  base_lr /= batch_size_per_device
+elif normalization_mode == P.Loss.VALID:
+  base_lr *= 25. / loc_weight
+elif normalization_mode == P.Loss.FULL:
+  # Roughly there are 2000 prior bboxes per image.
+  # TODO(weiliu89): Estimate the exact # of priors.
+  base_lr *= 2000.
+
+# Evaluate on whole test set.
+num_test_image = 5000
+test_batch_size = 8
+test_iter = num_test_image / test_batch_size
+
+solver_param = {
+    # Train parameters
+    'base_lr': base_lr,
+    'weight_decay': 0.0005,
+    'lr_policy': "multistep",
+    'stepvalue': [280000, 360000, 400000],
+    'gamma': 0.1,
+    'momentum': 0.9,
+    'iter_size': iter_size,
+    'max_iter': 0,
+    'snapshot': 0,
+    'display': 10,
+    'average_loss': 10,
+    'type': "SGD",
+    'solver_mode': solver_mode,
+    'device_id': device_id,
+    'debug_info': False,
+    'snapshot_after_train': False,
+    # Test parameters
+    'test_iter': [test_iter],
+    'test_interval': 10000,
+    'eval_type': "detection",
+    'ap_version': "11point",
+    'test_initialization': True,
+    }
+
+# parameters for generating detection output.
+det_out_param = {
+    'num_classes': num_classes,
+    'share_location': share_location,
+    'background_label_id': background_label_id,
+    'nms_param': {'nms_threshold': 0.45, 'top_k': 400},
+    'save_output_param': {
+        'output_directory': output_result_dir,
+        'output_name_prefix': "detections_minival_ssd300_results",
+        'output_format': "COCO",
+        'label_map_file': label_map_file,
+        'name_size_file': name_size_file,
+        'num_test_image': num_test_image,
+        },
+    'keep_top_k': 200,
+    'confidence_threshold': 0.01,
+    'code_type': code_type,
+    }
+
+# parameters for evaluating detection results.
+det_eval_param = {
+    'num_classes': num_classes,
+    'background_label_id': background_label_id,
+    'overlap_threshold': 0.5,
+    'evaluate_difficult_gt': False,
+    'name_size_file': name_size_file,
+    }
+
+### Hopefully you don't need to change the following ###
+# Check file.
+check_if_exist(train_data)
+check_if_exist(test_data)
+check_if_exist(label_map_file)
+check_if_exist(pretrain_model)
+make_if_not_exist(save_dir)
+make_if_not_exist(job_dir)
+make_if_not_exist(snapshot_dir)
+
+# Create train net.
+net = caffe.NetSpec()
+net.data, net.label = CreateAnnotatedDataLayer(train_data, batch_size=batch_size_per_device,
+        train=True, output_label=True, label_map_file=label_map_file,
+        transform_param=train_transform_param, batch_sampler=batch_sampler)
+
+VGGNetBody(net, from_layer='data', fully_conv=True, reduced=True, dilated=True,
+    dropout=False)
+
+AddExtraLayers(net, use_batchnorm, lr_mult=lr_mult)
+
+mbox_layers = CreateMultiBoxHead(net, data_layer='data', from_layers=mbox_source_layers,
+        use_batchnorm=use_batchnorm, min_sizes=min_sizes, max_sizes=max_sizes,
+        aspect_ratios=aspect_ratios, steps=steps, normalizations=normalizations,
+        num_classes=num_classes, share_location=share_location, flip=flip, clip=clip,
+        prior_variance=prior_variance, kernel_size=3, pad=1, lr_mult=lr_mult)
+
+# Create the MultiBoxLossLayer.
+name = "mbox_loss"
+mbox_layers.append(net.label)
+net[name] = L.MultiBoxLoss(*mbox_layers, multibox_loss_param=multibox_loss_param,
+        loss_param=loss_param, include=dict(phase=caffe_pb2.Phase.Value('TRAIN')),
+        propagate_down=[True, True, False, False])
+
+with open(train_net_file, 'w') as f:
+    print('name: "{}_train"'.format(model_name), file=f)
+    print(net.to_proto(), file=f)
+shutil.copy(train_net_file, job_dir)
+
+# Create test net.
+net = caffe.NetSpec()
+net.data, net.label = CreateAnnotatedDataLayer(test_data, batch_size=test_batch_size,
+        train=False, output_label=True, label_map_file=label_map_file,
+        transform_param=test_transform_param)
+
+VGGNetBody(net, from_layer='data', fully_conv=True, reduced=True, dilated=True,
+    dropout=False)
+
+AddExtraLayers(net, use_batchnorm, lr_mult=lr_mult)
+
+mbox_layers = CreateMultiBoxHead(net, data_layer='data', from_layers=mbox_source_layers,
+        use_batchnorm=use_batchnorm, min_sizes=min_sizes, max_sizes=max_sizes,
+        aspect_ratios=aspect_ratios, steps=steps, normalizations=normalizations,
+        num_classes=num_classes, share_location=share_location, flip=flip, clip=clip,
+        prior_variance=prior_variance, kernel_size=3, pad=1, lr_mult=lr_mult)
+
+conf_name = "mbox_conf"
+if multibox_loss_param["conf_loss_type"] == P.MultiBoxLoss.SOFTMAX:
+  reshape_name = "{}_reshape".format(conf_name)
+  net[reshape_name] = L.Reshape(net[conf_name], shape=dict(dim=[0, -1, num_classes]))
+  softmax_name = "{}_softmax".format(conf_name)
+  net[softmax_name] = L.Softmax(net[reshape_name], axis=2)
+  flatten_name = "{}_flatten".format(conf_name)
+  net[flatten_name] = L.Flatten(net[softmax_name], axis=1)
+  mbox_layers[1] = net[flatten_name]
+elif multibox_loss_param["conf_loss_type"] == P.MultiBoxLoss.LOGISTIC:
+  sigmoid_name = "{}_sigmoid".format(conf_name)
+  net[sigmoid_name] = L.Sigmoid(net[conf_name])
+  mbox_layers[1] = net[sigmoid_name]
+
+net.detection_out = L.DetectionOutput(*mbox_layers,
+    detection_output_param=det_out_param,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+net.detection_eval = L.DetectionEvaluate(net.detection_out, net.label,
+    detection_evaluate_param=det_eval_param,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+
+with open(test_net_file, 'w') as f:
+    print('name: "{}_test"'.format(model_name), file=f)
+    print(net.to_proto(), file=f)
+shutil.copy(test_net_file, job_dir)
+
+# Create deploy net.
+# Remove the first and last layer from test net.
+deploy_net = net
+with open(deploy_net_file, 'w') as f:
+    net_param = deploy_net.to_proto()
+    # Remove the first (AnnotatedData) and last (DetectionEvaluate) layer from test net.
+    del net_param.layer[0]
+    del net_param.layer[-1]
+    net_param.name = '{}_deploy'.format(model_name)
+    net_param.input.extend(['data'])
+    net_param.input_shape.extend([
+        caffe_pb2.BlobShape(dim=[1, 3, resize_height, resize_width])])
+    print(net_param, file=f)
+shutil.copy(deploy_net_file, job_dir)
+
+# Create solver.
+solver = caffe_pb2.SolverParameter(
+        train_net=train_net_file,
+        test_net=[test_net_file],
+        snapshot_prefix=snapshot_prefix,
+        **solver_param)
+
+with open(solver_file, 'w') as f:
+    print(solver, file=f)
+shutil.copy(solver_file, job_dir)
+
+# Create job file.
+with open(job_file, 'w') as f:
+  f.write('cd {}\n'.format(caffe_root))
+  f.write('./build/tools/caffe train \\\n')
+  f.write('--solver="{}" \\\n'.format(solver_file))
+  f.write('--weights="{}" \\\n'.format(pretrain_model))
+  if solver_param['solver_mode'] == P.Solver.GPU:
+    f.write('--gpu {} 2>&1 | tee {}/{}_test{}.log\n'.format(gpus, job_dir, model_name, max_iter))
+  else:
+    f.write('2>&1 | tee {}/{}.log\n'.format(job_dir, model_name))
+
+# Copy the python script to job_dir.
+py_file = os.path.abspath(__file__)
+shutil.copy(py_file, job_dir)
+
+# Run the job.
+os.chmod(job_file, stat.S_IRWXU)
+if run_soon:
+  subprocess.call(job_file, shell=True)
diff --git a/examples/ssd/score_ssd_pascal.py b/examples/ssd/score_ssd_pascal.py
new file mode 100644
index 00000000000..cc13125e32b
--- /dev/null
+++ b/examples/ssd/score_ssd_pascal.py
@@ -0,0 +1,558 @@
+from __future__ import print_function
+import caffe
+from google.protobuf import text_format
+
+import math
+import os
+import shutil
+import stat
+import subprocess
+import sys
+
+sys.path.insert(0, 'examples/ssd')
+from model_libs import *
+
+# Add extra layers on top of a "base" network (e.g. VGGNet or Inception).
+def AddExtraLayers(net, use_batchnorm=True, lr_mult=1):
+    use_relu = True
+
+    # Add additional convolutional layers.
+    # 19 x 19
+    from_layer = net.keys()[-1]
+
+    # TODO(weiliu89): Construct the name using the last layer to avoid duplication.
+    # 10 x 10
+    out_layer = "conv6_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 1, 0, 1,
+        lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv6_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 512, 3, 1, 2,
+        lr_mult=lr_mult)
+
+    # 5 x 5
+    from_layer = out_layer
+    out_layer = "conv7_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv7_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 1, 2,
+      lr_mult=lr_mult)
+
+    # 3 x 3
+    from_layer = out_layer
+    out_layer = "conv8_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv8_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 0, 1,
+      lr_mult=lr_mult)
+
+    # 1 x 1
+    from_layer = out_layer
+    out_layer = "conv9_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv9_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 0, 1,
+      lr_mult=lr_mult)
+
+    return net
+
+
+### Modify the following parameters accordingly ###
+# Notice: we do evaluation by setting the solver parameters approximately.
+# The reason that we do not use ./build/tools/caffe test ... is because it
+# only supports testing for classification problem now.
+# The directory which contains the caffe code.
+# We assume you are running the script at the CAFFE_ROOT.
+caffe_root = os.getcwd()
+
+# Set true if you want to start training right after generating all files.
+run_soon = True
+
+# The database file for training data. Created by data/VOC0712/create_data.sh
+train_data = "examples/VOC0712/VOC0712_trainval_lmdb"
+# The database file for testing data. Created by data/VOC0712/create_data.sh
+test_data = "examples/VOC0712/VOC0712_test_lmdb"
+# Specify the batch sampler.
+resize_width = 300
+resize_height = 300
+resize = "{}x{}".format(resize_width, resize_height)
+batch_sampler = [
+        {
+                'sampler': {
+                        },
+                'max_trials': 1,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.1,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.3,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.5,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.7,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.9,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'max_jaccard_overlap': 1.0,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        ]
+train_transform_param = {
+        'mirror': True,
+        'mean_value': [104, 117, 123],
+        'resize_param': {
+                'prob': 1,
+                'resize_mode': P.Resize.WARP,
+                'height': resize_height,
+                'width': resize_width,
+                'interp_mode': [
+                        P.Resize.LINEAR,
+                        P.Resize.AREA,
+                        P.Resize.NEAREST,
+                        P.Resize.CUBIC,
+                        P.Resize.LANCZOS4,
+                        ],
+                },
+        'distort_param': {
+                'brightness_prob': 0.5,
+                'brightness_delta': 32,
+                'contrast_prob': 0.5,
+                'contrast_lower': 0.5,
+                'contrast_upper': 1.5,
+                'hue_prob': 0.5,
+                'hue_delta': 18,
+                'saturation_prob': 0.5,
+                'saturation_lower': 0.5,
+                'saturation_upper': 1.5,
+                'random_order_prob': 0.0,
+                },
+        'expand_param': {
+                'prob': 0.5,
+                'max_expand_ratio': 4.0,
+                },
+        'emit_constraint': {
+            'emit_type': caffe_pb2.EmitConstraint.CENTER,
+            }
+        }
+test_transform_param = {
+        'mean_value': [104, 117, 123],
+        'resize_param': {
+                'prob': 1,
+                'resize_mode': P.Resize.WARP,
+                'height': resize_height,
+                'width': resize_width,
+                'interp_mode': [P.Resize.LINEAR],
+                },
+        }
+
+# If true, use batch norm for all newly added layers.
+# Currently only the non batch norm version has been tested.
+use_batchnorm = False
+lr_mult = 1
+# Use different initial learning rate.
+if use_batchnorm:
+    base_lr = 0.0004
+else:
+    # A learning rate for batch_size = 1, num_gpus = 1.
+    base_lr = 0.00004
+
+# The job name should be same as the name used in examples/ssd/ssd_pascal.py.
+job_name = "SSD_{}".format(resize)
+# The name of the model. Modify it if you want.
+model_name = "VGG_VOC0712_{}".format(job_name)
+
+# Directory which stores the model .prototxt file.
+save_dir = "models/VGGNet/VOC0712/{}_score".format(job_name)
+# Directory which stores the snapshot of trained models.
+snapshot_dir = "models/VGGNet/VOC0712/{}".format(job_name)
+# Directory which stores the job script and log file.
+job_dir = "jobs/VGGNet/VOC0712/{}_score".format(job_name)
+# Directory which stores the detection results.
+output_result_dir = "{}/data/VOCdevkit/results/VOC2007/{}_score/Main".format(os.environ['HOME'], job_name)
+
+# model definition files.
+train_net_file = "{}/train.prototxt".format(save_dir)
+test_net_file = "{}/test.prototxt".format(save_dir)
+deploy_net_file = "{}/deploy.prototxt".format(save_dir)
+solver_file = "{}/solver.prototxt".format(save_dir)
+# snapshot prefix.
+snapshot_prefix = "{}/{}".format(snapshot_dir, model_name)
+# job script path.
+job_file = "{}/{}.sh".format(job_dir, model_name)
+
+# Find most recent snapshot.
+max_iter = 0
+for file in os.listdir(snapshot_dir):
+  if file.endswith(".caffemodel"):
+    basename = os.path.splitext(file)[0]
+    iter = int(basename.split("{}_iter_".format(model_name))[1])
+    if iter > max_iter:
+      max_iter = iter
+
+if max_iter == 0:
+  print("Cannot find snapshot in {}".format(snapshot_dir))
+  sys.exit()
+
+# Stores the test image names and sizes. Created by data/VOC0712/create_list.sh
+name_size_file = "data/VOC0712/test_name_size.txt"
+# The resume model.
+pretrain_model = "{}_iter_{}.caffemodel".format(snapshot_prefix, max_iter)
+# Stores LabelMapItem.
+label_map_file = "data/VOC0712/labelmap_voc.prototxt"
+
+# MultiBoxLoss parameters.
+num_classes = 21
+share_location = True
+background_label_id=0
+train_on_diff_gt = True
+normalization_mode = P.Loss.VALID
+code_type = P.PriorBox.CENTER_SIZE
+ignore_cross_boundary_bbox = False
+mining_type = P.MultiBoxLoss.MAX_NEGATIVE
+neg_pos_ratio = 3.
+loc_weight = (neg_pos_ratio + 1.) / 4.
+multibox_loss_param = {
+    'loc_loss_type': P.MultiBoxLoss.SMOOTH_L1,
+    'conf_loss_type': P.MultiBoxLoss.SOFTMAX,
+    'loc_weight': loc_weight,
+    'num_classes': num_classes,
+    'share_location': share_location,
+    'match_type': P.MultiBoxLoss.PER_PREDICTION,
+    'overlap_threshold': 0.5,
+    'use_prior_for_matching': True,
+    'background_label_id': background_label_id,
+    'use_difficult_gt': train_on_diff_gt,
+    'mining_type': mining_type,
+    'neg_pos_ratio': neg_pos_ratio,
+    'neg_overlap': 0.5,
+    'code_type': code_type,
+    'ignore_cross_boundary_bbox': ignore_cross_boundary_bbox,
+    }
+loss_param = {
+    'normalization': normalization_mode,
+    }
+
+# parameters for generating priors.
+# minimum dimension of input image
+min_dim = 300
+# conv4_3 ==> 38 x 38
+# fc7 ==> 19 x 19
+# conv6_2 ==> 10 x 10
+# conv7_2 ==> 5 x 5
+# conv8_2 ==> 3 x 3
+# conv9_2 ==> 1 x 1
+mbox_source_layers = ['conv4_3', 'fc7', 'conv6_2', 'conv7_2', 'conv8_2', 'conv9_2']
+# in percent %
+min_ratio = 20
+max_ratio = 90
+step = int(math.floor((max_ratio - min_ratio) / (len(mbox_source_layers) - 2)))
+min_sizes = []
+max_sizes = []
+for ratio in xrange(min_ratio, max_ratio + 1, step):
+  min_sizes.append(min_dim * ratio / 100.)
+  max_sizes.append(min_dim * (ratio + step) / 100.)
+min_sizes = [min_dim * 10 / 100.] + min_sizes
+max_sizes = [min_dim * 20 / 100.] + max_sizes
+steps = [8, 16, 32, 64, 100, 300]
+aspect_ratios = [[2], [2, 3], [2, 3], [2, 3], [2], [2]]
+# L2 normalize conv4_3.
+normalizations = [20, -1, -1, -1, -1, -1]
+# variance used to encode/decode prior bboxes.
+if code_type == P.PriorBox.CENTER_SIZE:
+  prior_variance = [0.1, 0.1, 0.2, 0.2]
+else:
+  prior_variance = [0.1]
+flip = True
+clip = False
+
+# Solver parameters.
+# Defining which GPUs to use.
+gpus = "0"
+gpulist = gpus.split(",")
+num_gpus = len(gpulist)
+
+# The number does not matter since we do not do training with this script.
+batch_size = 1
+accum_batch_size = 1
+iter_size = accum_batch_size / batch_size
+solver_mode = P.Solver.CPU
+device_id = 0
+batch_size_per_device = batch_size
+if num_gpus > 0:
+  batch_size_per_device = int(math.ceil(float(batch_size) / num_gpus))
+  iter_size = int(math.ceil(float(accum_batch_size) / (batch_size_per_device * num_gpus)))
+  solver_mode = P.Solver.GPU
+  device_id = int(gpulist[0])
+
+if normalization_mode == P.Loss.NONE:
+  base_lr /= batch_size_per_device
+elif normalization_mode == P.Loss.VALID:
+  base_lr *= 25. / loc_weight
+elif normalization_mode == P.Loss.FULL:
+  # Roughly there are 2000 prior bboxes per image.
+  # TODO(weiliu89): Estimate the exact # of priors.
+  base_lr *= 2000.
+
+# Evaluate on whole test set.
+num_test_image = 4952
+test_batch_size = 8
+# Ideally test_batch_size should be divisible by num_test_image,
+# otherwise mAP will be slightly off the true value.
+test_iter = int(math.ceil(float(num_test_image) / test_batch_size))
+
+solver_param = {
+    # Train parameters
+    'base_lr': base_lr,
+    'weight_decay': 0.0005,
+    'lr_policy': "multistep",
+    'stepvalue': [80000, 100000, 120000],
+    'gamma': 0.1,
+    'momentum': 0.9,
+    'iter_size': iter_size,
+    'max_iter': 0,
+    'snapshot': 0,
+    'display': 10,
+    'average_loss': 10,
+    'type': "SGD",
+    'solver_mode': solver_mode,
+    'device_id': device_id,
+    'debug_info': False,
+    'snapshot_after_train': False,
+    # Test parameters
+    'test_iter': [test_iter],
+    'test_interval': 10000,
+    'eval_type': "detection",
+    'ap_version': "11point",
+    'test_initialization': True,
+    }
+
+# parameters for generating detection output.
+det_out_param = {
+    'num_classes': num_classes,
+    'share_location': share_location,
+    'background_label_id': background_label_id,
+    'nms_param': {'nms_threshold': 0.45, 'top_k': 400},
+    'save_output_param': {
+        'output_directory': output_result_dir,
+        'output_name_prefix': "comp4_det_test_",
+        'output_format': "VOC",
+        'label_map_file': label_map_file,
+        'name_size_file': name_size_file,
+        'num_test_image': num_test_image,
+        },
+    'keep_top_k': 200,
+    'confidence_threshold': 0.01,
+    'code_type': code_type,
+    }
+
+# parameters for evaluating detection results.
+det_eval_param = {
+    'num_classes': num_classes,
+    'background_label_id': background_label_id,
+    'overlap_threshold': 0.5,
+    'evaluate_difficult_gt': False,
+    'name_size_file': name_size_file,
+    }
+
+### Hopefully you don't need to change the following ###
+# Check file.
+check_if_exist(train_data)
+check_if_exist(test_data)
+check_if_exist(label_map_file)
+check_if_exist(pretrain_model)
+make_if_not_exist(save_dir)
+make_if_not_exist(job_dir)
+make_if_not_exist(snapshot_dir)
+
+# Create train net.
+net = caffe.NetSpec()
+net.data, net.label = CreateAnnotatedDataLayer(train_data, batch_size=batch_size_per_device,
+        train=True, output_label=True, label_map_file=label_map_file,
+        transform_param=train_transform_param, batch_sampler=batch_sampler)
+
+VGGNetBody(net, from_layer='data', fully_conv=True, reduced=True, dilated=True,
+    dropout=False)
+
+AddExtraLayers(net, use_batchnorm, lr_mult=lr_mult)
+
+mbox_layers = CreateMultiBoxHead(net, data_layer='data', from_layers=mbox_source_layers,
+        use_batchnorm=use_batchnorm, min_sizes=min_sizes, max_sizes=max_sizes,
+        aspect_ratios=aspect_ratios, steps=steps, normalizations=normalizations,
+        num_classes=num_classes, share_location=share_location, flip=flip, clip=clip,
+        prior_variance=prior_variance, kernel_size=3, pad=1, lr_mult=lr_mult)
+
+# Create the MultiBoxLossLayer.
+name = "mbox_loss"
+mbox_layers.append(net.label)
+net[name] = L.MultiBoxLoss(*mbox_layers, multibox_loss_param=multibox_loss_param,
+        loss_param=loss_param, include=dict(phase=caffe_pb2.Phase.Value('TRAIN')),
+        propagate_down=[True, True, False, False])
+
+with open(train_net_file, 'w') as f:
+    print('name: "{}_train"'.format(model_name), file=f)
+    print(net.to_proto(), file=f)
+shutil.copy(train_net_file, job_dir)
+
+# Create test net.
+net = caffe.NetSpec()
+net.data, net.label = CreateAnnotatedDataLayer(test_data, batch_size=test_batch_size,
+        train=False, output_label=True, label_map_file=label_map_file,
+        transform_param=test_transform_param)
+
+VGGNetBody(net, from_layer='data', fully_conv=True, reduced=True, dilated=True,
+    dropout=False)
+
+AddExtraLayers(net, use_batchnorm, lr_mult=lr_mult)
+
+mbox_layers = CreateMultiBoxHead(net, data_layer='data', from_layers=mbox_source_layers,
+        use_batchnorm=use_batchnorm, min_sizes=min_sizes, max_sizes=max_sizes,
+        aspect_ratios=aspect_ratios, steps=steps, normalizations=normalizations,
+        num_classes=num_classes, share_location=share_location, flip=flip, clip=clip,
+        prior_variance=prior_variance, kernel_size=3, pad=1, lr_mult=lr_mult)
+
+conf_name = "mbox_conf"
+if multibox_loss_param["conf_loss_type"] == P.MultiBoxLoss.SOFTMAX:
+  reshape_name = "{}_reshape".format(conf_name)
+  net[reshape_name] = L.Reshape(net[conf_name], shape=dict(dim=[0, -1, num_classes]))
+  softmax_name = "{}_softmax".format(conf_name)
+  net[softmax_name] = L.Softmax(net[reshape_name], axis=2)
+  flatten_name = "{}_flatten".format(conf_name)
+  net[flatten_name] = L.Flatten(net[softmax_name], axis=1)
+  mbox_layers[1] = net[flatten_name]
+elif multibox_loss_param["conf_loss_type"] == P.MultiBoxLoss.LOGISTIC:
+  sigmoid_name = "{}_sigmoid".format(conf_name)
+  net[sigmoid_name] = L.Sigmoid(net[conf_name])
+  mbox_layers[1] = net[sigmoid_name]
+
+net.detection_out = L.DetectionOutput(*mbox_layers,
+    detection_output_param=det_out_param,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+net.detection_eval = L.DetectionEvaluate(net.detection_out, net.label,
+    detection_evaluate_param=det_eval_param,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+
+with open(test_net_file, 'w') as f:
+    print('name: "{}_test"'.format(model_name), file=f)
+    print(net.to_proto(), file=f)
+shutil.copy(test_net_file, job_dir)
+
+# Create deploy net.
+# Remove the first and last layer from test net.
+deploy_net = net
+with open(deploy_net_file, 'w') as f:
+    net_param = deploy_net.to_proto()
+    # Remove the first (AnnotatedData) and last (DetectionEvaluate) layer from test net.
+    del net_param.layer[0]
+    del net_param.layer[-1]
+    net_param.name = '{}_deploy'.format(model_name)
+    net_param.input.extend(['data'])
+    net_param.input_shape.extend([
+        caffe_pb2.BlobShape(dim=[1, 3, resize_height, resize_width])])
+    print(net_param, file=f)
+shutil.copy(deploy_net_file, job_dir)
+
+# Create solver.
+solver = caffe_pb2.SolverParameter(
+        train_net=train_net_file,
+        test_net=[test_net_file],
+        snapshot_prefix=snapshot_prefix,
+        **solver_param)
+
+with open(solver_file, 'w') as f:
+    print(solver, file=f)
+shutil.copy(solver_file, job_dir)
+
+# Create job file.
+with open(job_file, 'w') as f:
+  f.write('cd {}\n'.format(caffe_root))
+  f.write('./build/tools/caffe train \\\n')
+  f.write('--solver="{}" \\\n'.format(solver_file))
+  f.write('--weights="{}" \\\n'.format(pretrain_model))
+  if solver_param['solver_mode'] == P.Solver.GPU:
+    f.write('--gpu {} 2>&1 | tee {}/{}_test{}.log\n'.format(gpus, job_dir, model_name, max_iter))
+  else:
+    f.write('2>&1 | tee {}/{}.log\n'.format(job_dir, model_name))
+
+# Copy the python script to job_dir.
+py_file = os.path.abspath(__file__)
+shutil.copy(py_file, job_dir)
+
+# Run the job.
+os.chmod(job_file, stat.S_IRWXU)
+if run_soon:
+  subprocess.call(job_file, shell=True)
diff --git a/examples/ssd/ssd_coco.py b/examples/ssd/ssd_coco.py
new file mode 100644
index 00000000000..3296d7abb32
--- /dev/null
+++ b/examples/ssd/ssd_coco.py
@@ -0,0 +1,576 @@
+from __future__ import print_function
+import caffe
+from google.protobuf import text_format
+
+import math
+import os
+import shutil
+import stat
+import subprocess
+import sys
+
+sys.path.insert(0, 'examples/ssd')
+from model_libs import *
+
+# Add extra layers on top of a "base" network (e.g. VGGNet or Inception).
+def AddExtraLayers(net, use_batchnorm=True, lr_mult=1):
+    use_relu = True
+
+    # Add additional convolutional layers.
+    # 19 x 19
+    from_layer = net.keys()[-1]
+
+    # TODO(weiliu89): Construct the name using the last layer to avoid duplication.
+    # 10 x 10
+    out_layer = "conv6_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 1, 0, 1,
+        lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv6_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 512, 3, 1, 2,
+        lr_mult=lr_mult)
+
+    # 5 x 5
+    from_layer = out_layer
+    out_layer = "conv7_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv7_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 1, 2,
+      lr_mult=lr_mult)
+
+    # 3 x 3
+    from_layer = out_layer
+    out_layer = "conv8_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv8_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 0, 1,
+      lr_mult=lr_mult)
+
+    # 1 x 1
+    from_layer = out_layer
+    out_layer = "conv9_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv9_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 0, 1,
+      lr_mult=lr_mult)
+
+    return net
+
+
+### Modify the following parameters accordingly ###
+# The directory which contains the caffe code.
+# We assume you are running the script at the CAFFE_ROOT.
+caffe_root = os.getcwd()
+
+# Set true if you want to start training right after generating all files.
+run_soon = True
+# Set true if you want to load from most recently saved snapshot.
+# Otherwise, we will load from the pretrain_model defined below.
+resume_training = True
+# If true, Remove old model files.
+remove_old_models = False
+
+# The database file for training data. Created by data/coco/create_data.sh
+train_data = "examples/coco/coco_train_lmdb"
+# The database file for testing data. Created by data/coco/create_data.sh
+test_data = "examples/coco/coco_minival_lmdb"
+# Specify the batch sampler.
+resize_width = 300
+resize_height = 300
+resize = "{}x{}".format(resize_width, resize_height)
+batch_sampler = [
+        {
+                'sampler': {
+                        },
+                'max_trials': 1,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.1,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.3,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.5,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.7,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.9,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'max_jaccard_overlap': 1.0,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        ]
+train_transform_param = {
+        'mirror': True,
+        'mean_value': [104, 117, 123],
+        'force_color': True,
+        'resize_param': {
+                'prob': 1,
+                'resize_mode': P.Resize.WARP,
+                'height': resize_height,
+                'width': resize_width,
+                'interp_mode': [
+                        P.Resize.LINEAR,
+                        P.Resize.AREA,
+                        P.Resize.NEAREST,
+                        P.Resize.CUBIC,
+                        P.Resize.LANCZOS4,
+                        ],
+                },
+        'distort_param': {
+                'brightness_prob': 0.5,
+                'brightness_delta': 32,
+                'contrast_prob': 0.5,
+                'contrast_lower': 0.5,
+                'contrast_upper': 1.5,
+                'hue_prob': 0.5,
+                'hue_delta': 18,
+                'saturation_prob': 0.5,
+                'saturation_lower': 0.5,
+                'saturation_upper': 1.5,
+                'random_order_prob': 0.0,
+                },
+        'expand_param': {
+                'prob': 0.5,
+                'max_expand_ratio': 4.0,
+                },
+        'emit_constraint': {
+            'emit_type': caffe_pb2.EmitConstraint.CENTER,
+            }
+        }
+test_transform_param = {
+        'mean_value': [104, 117, 123],
+        'force_color': True,
+        'resize_param': {
+                'prob': 1,
+                'resize_mode': P.Resize.WARP,
+                'height': resize_height,
+                'width': resize_width,
+                'interp_mode': [P.Resize.LINEAR],
+                },
+        }
+
+# If true, use batch norm for all newly added layers.
+# Currently only the non batch norm version has been tested.
+use_batchnorm = False
+lr_mult = 1
+# Use different initial learning rate.
+if use_batchnorm:
+    base_lr = 0.0004
+else:
+    # A learning rate for batch_size = 1, num_gpus = 1.
+    base_lr = 0.00004
+
+# Modify the job name if you want.
+job_name = "SSD_{}".format(resize)
+# The name of the model. Modify it if you want.
+model_name = "VGG_coco_{}".format(job_name)
+
+# Directory which stores the model .prototxt file.
+save_dir = "models/VGGNet/coco/{}".format(job_name)
+# Directory which stores the snapshot of models.
+snapshot_dir = "models/VGGNet/coco/{}".format(job_name)
+# Directory which stores the job script and log file.
+job_dir = "jobs/VGGNet/coco/{}".format(job_name)
+# Directory which stores the detection results.
+output_result_dir = "{}/data/mscoco/results/{}".format(os.environ['HOME'], job_name)
+
+# model definition files.
+train_net_file = "{}/train.prototxt".format(save_dir)
+test_net_file = "{}/test.prototxt".format(save_dir)
+deploy_net_file = "{}/deploy.prototxt".format(save_dir)
+solver_file = "{}/solver.prototxt".format(save_dir)
+# snapshot prefix.
+snapshot_prefix = "{}/{}".format(snapshot_dir, model_name)
+# job script path.
+job_file = "{}/{}.sh".format(job_dir, model_name)
+
+# Stores the test image names and sizes. Created by data/coco/create_list.sh
+name_size_file = "data/coco/test2014_name_size.txt"
+# The pretrained model. We use the Fully convolutional reduced (atrous) VGGNet.
+pretrain_model = "models/VGGNet/VGG_ILSVRC_16_layers_fc_reduced.caffemodel"
+# Stores LabelMapItem.
+label_map_file = "data/coco/labelmap_coco.prototxt"
+
+# MultiBoxLoss parameters.
+num_classes = 81
+share_location = True
+background_label_id=0
+train_on_diff_gt = False
+normalization_mode = P.Loss.VALID
+code_type = P.PriorBox.CENTER_SIZE
+ignore_cross_boundary_bbox = False
+mining_type = P.MultiBoxLoss.MAX_NEGATIVE
+neg_pos_ratio = 3.
+loc_weight = (neg_pos_ratio + 1.) / 4.
+multibox_loss_param = {
+    'loc_loss_type': P.MultiBoxLoss.SMOOTH_L1,
+    'conf_loss_type': P.MultiBoxLoss.SOFTMAX,
+    'loc_weight': loc_weight,
+    'num_classes': num_classes,
+    'share_location': share_location,
+    'match_type': P.MultiBoxLoss.PER_PREDICTION,
+    'overlap_threshold': 0.5,
+    'use_prior_for_matching': True,
+    'background_label_id': background_label_id,
+    'use_difficult_gt': train_on_diff_gt,
+    'mining_type': mining_type,
+    'neg_pos_ratio': neg_pos_ratio,
+    'neg_overlap': 0.5,
+    'code_type': code_type,
+    'ignore_cross_boundary_bbox': ignore_cross_boundary_bbox,
+    }
+loss_param = {
+    'normalization': normalization_mode,
+    }
+
+# parameters for generating priors.
+# minimum dimension of input image
+min_dim = 300
+# conv4_3 ==> 38 x 38
+# fc7 ==> 19 x 19
+# conv6_2 ==> 10 x 10
+# conv7_2 ==> 5 x 5
+# conv8_2 ==> 3 x 3
+# conv9_2 ==> 1 x 1
+mbox_source_layers = ['conv4_3', 'fc7', 'conv6_2', 'conv7_2', 'conv8_2', 'conv9_2']
+# in percent %
+min_ratio = 15
+max_ratio = 90
+step = int(math.floor((max_ratio - min_ratio) / (len(mbox_source_layers) - 2)))
+min_sizes = []
+max_sizes = []
+for ratio in xrange(min_ratio, max_ratio + 1, step):
+  min_sizes.append(min_dim * ratio / 100.)
+  max_sizes.append(min_dim * (ratio + step) / 100.)
+min_sizes = [min_dim * 7 / 100.] + min_sizes
+max_sizes = [min_dim * 15 / 100.] + max_sizes
+steps = [8, 16, 32, 64, 100, 300]
+aspect_ratios = [[2], [2, 3], [2, 3], [2, 3], [2], [2]]
+# L2 normalize conv4_3.
+normalizations = [20, -1, -1, -1, -1, -1]
+# variance used to encode/decode prior bboxes.
+if code_type == P.PriorBox.CENTER_SIZE:
+  prior_variance = [0.1, 0.1, 0.2, 0.2]
+else:
+  prior_variance = [0.1]
+flip = True
+clip = False
+
+# Solver parameters.
+# Defining which GPUs to use.
+gpus = "0,1"
+gpulist = gpus.split(",")
+num_gpus = len(gpulist)
+
+# Divide the mini-batch to different GPUs.
+batch_size = 32
+accum_batch_size = 32
+iter_size = accum_batch_size / batch_size
+solver_mode = P.Solver.CPU
+device_id = 0
+batch_size_per_device = batch_size
+if num_gpus > 0:
+  batch_size_per_device = int(math.ceil(float(batch_size) / num_gpus))
+  iter_size = int(math.ceil(float(accum_batch_size) / (batch_size_per_device * num_gpus)))
+  solver_mode = P.Solver.GPU
+  device_id = int(gpulist[0])
+
+if normalization_mode == P.Loss.NONE:
+  base_lr /= batch_size_per_device
+elif normalization_mode == P.Loss.VALID:
+  base_lr *= 25. / loc_weight
+elif normalization_mode == P.Loss.FULL:
+  # Roughly there are 2000 prior bboxes per image.
+  # TODO(weiliu89): Estimate the exact # of priors.
+  base_lr *= 2000.
+
+# Evaluate on whole test set.
+num_test_image = 5000
+test_batch_size = 8
+test_iter = num_test_image / test_batch_size
+
+solver_param = {
+    # Train parameters
+    'base_lr': base_lr,
+    'weight_decay': 0.0005,
+    'lr_policy': "multistep",
+    'stepvalue': [280000, 360000, 400000],
+    'gamma': 0.1,
+    'momentum': 0.9,
+    'iter_size': iter_size,
+    'max_iter': 400000,
+    'snapshot': 40000,
+    'display': 10,
+    'average_loss': 10,
+    'type': "SGD",
+    'solver_mode': solver_mode,
+    'device_id': device_id,
+    'debug_info': False,
+    'snapshot_after_train': True,
+    # Test parameters
+    'test_iter': [test_iter],
+    'test_interval': 10000,
+    'eval_type': "detection",
+    'ap_version': "11point",
+    'test_initialization': False,
+    }
+
+# parameters for generating detection output.
+det_out_param = {
+    'num_classes': num_classes,
+    'share_location': share_location,
+    'background_label_id': background_label_id,
+    'nms_param': {'nms_threshold': 0.45, 'top_k': 400},
+    'save_output_param': {
+        'output_directory': output_result_dir,
+        'output_name_prefix': "detections_minival_ssd300_results",
+        'output_format': "COCO",
+        'label_map_file': label_map_file,
+        'name_size_file': name_size_file,
+        'num_test_image': num_test_image,
+        },
+    'keep_top_k': 200,
+    'confidence_threshold': 0.01,
+    'code_type': code_type,
+    }
+
+# parameters for evaluating detection results.
+det_eval_param = {
+    'num_classes': num_classes,
+    'background_label_id': background_label_id,
+    'overlap_threshold': 0.5,
+    'evaluate_difficult_gt': False,
+    'name_size_file': name_size_file,
+    }
+
+### Hopefully you don't need to change the following ###
+# Check file.
+check_if_exist(train_data)
+check_if_exist(test_data)
+check_if_exist(label_map_file)
+check_if_exist(pretrain_model)
+make_if_not_exist(save_dir)
+make_if_not_exist(job_dir)
+make_if_not_exist(snapshot_dir)
+
+# Create train net.
+net = caffe.NetSpec()
+net.data, net.label = CreateAnnotatedDataLayer(train_data, batch_size=batch_size_per_device,
+        train=True, output_label=True, label_map_file=label_map_file,
+        transform_param=train_transform_param, batch_sampler=batch_sampler)
+
+VGGNetBody(net, from_layer='data', fully_conv=True, reduced=True, dilated=True,
+    dropout=False)
+
+AddExtraLayers(net, use_batchnorm, lr_mult=lr_mult)
+
+mbox_layers = CreateMultiBoxHead(net, data_layer='data', from_layers=mbox_source_layers,
+        use_batchnorm=use_batchnorm, min_sizes=min_sizes, max_sizes=max_sizes,
+        aspect_ratios=aspect_ratios, steps=steps, normalizations=normalizations,
+        num_classes=num_classes, share_location=share_location, flip=flip, clip=clip,
+        prior_variance=prior_variance, kernel_size=3, pad=1, lr_mult=lr_mult)
+
+# Create the MultiBoxLossLayer.
+name = "mbox_loss"
+mbox_layers.append(net.label)
+net[name] = L.MultiBoxLoss(*mbox_layers, multibox_loss_param=multibox_loss_param,
+        loss_param=loss_param, include=dict(phase=caffe_pb2.Phase.Value('TRAIN')),
+        propagate_down=[True, True, False, False])
+
+with open(train_net_file, 'w') as f:
+    print('name: "{}_train"'.format(model_name), file=f)
+    print(net.to_proto(), file=f)
+shutil.copy(train_net_file, job_dir)
+
+# Create test net.
+net = caffe.NetSpec()
+net.data, net.label = CreateAnnotatedDataLayer(test_data, batch_size=test_batch_size,
+        train=False, output_label=True, label_map_file=label_map_file,
+        transform_param=test_transform_param)
+
+VGGNetBody(net, from_layer='data', fully_conv=True, reduced=True, dilated=True,
+    dropout=False)
+
+AddExtraLayers(net, use_batchnorm, lr_mult=lr_mult)
+
+mbox_layers = CreateMultiBoxHead(net, data_layer='data', from_layers=mbox_source_layers,
+        use_batchnorm=use_batchnorm, min_sizes=min_sizes, max_sizes=max_sizes,
+        aspect_ratios=aspect_ratios, steps=steps, normalizations=normalizations,
+        num_classes=num_classes, share_location=share_location, flip=flip, clip=clip,
+        prior_variance=prior_variance, kernel_size=3, pad=1, lr_mult=lr_mult)
+
+conf_name = "mbox_conf"
+if multibox_loss_param["conf_loss_type"] == P.MultiBoxLoss.SOFTMAX:
+  reshape_name = "{}_reshape".format(conf_name)
+  net[reshape_name] = L.Reshape(net[conf_name], shape=dict(dim=[0, -1, num_classes]))
+  softmax_name = "{}_softmax".format(conf_name)
+  net[softmax_name] = L.Softmax(net[reshape_name], axis=2)
+  flatten_name = "{}_flatten".format(conf_name)
+  net[flatten_name] = L.Flatten(net[softmax_name], axis=1)
+  mbox_layers[1] = net[flatten_name]
+elif multibox_loss_param["conf_loss_type"] == P.MultiBoxLoss.LOGISTIC:
+  sigmoid_name = "{}_sigmoid".format(conf_name)
+  net[sigmoid_name] = L.Sigmoid(net[conf_name])
+  mbox_layers[1] = net[sigmoid_name]
+
+net.detection_out = L.DetectionOutput(*mbox_layers,
+    detection_output_param=det_out_param,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+net.detection_eval = L.DetectionEvaluate(net.detection_out, net.label,
+    detection_evaluate_param=det_eval_param,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+
+with open(test_net_file, 'w') as f:
+    print('name: "{}_test"'.format(model_name), file=f)
+    print(net.to_proto(), file=f)
+shutil.copy(test_net_file, job_dir)
+
+# Create deploy net.
+# Remove the first and last layer from test net.
+deploy_net = net
+with open(deploy_net_file, 'w') as f:
+    net_param = deploy_net.to_proto()
+    # Remove the first (AnnotatedData) and last (DetectionEvaluate) layer from test net.
+    del net_param.layer[0]
+    del net_param.layer[-1]
+    net_param.name = '{}_deploy'.format(model_name)
+    net_param.input.extend(['data'])
+    net_param.input_shape.extend([
+        caffe_pb2.BlobShape(dim=[1, 3, resize_height, resize_width])])
+    print(net_param, file=f)
+shutil.copy(deploy_net_file, job_dir)
+
+# Create solver.
+solver = caffe_pb2.SolverParameter(
+        train_net=train_net_file,
+        test_net=[test_net_file],
+        snapshot_prefix=snapshot_prefix,
+        **solver_param)
+
+with open(solver_file, 'w') as f:
+    print(solver, file=f)
+shutil.copy(solver_file, job_dir)
+
+max_iter = 0
+# Find most recent snapshot.
+for file in os.listdir(snapshot_dir):
+  if file.endswith(".solverstate"):
+    basename = os.path.splitext(file)[0]
+    iter = int(basename.split("{}_iter_".format(model_name))[1])
+    if iter > max_iter:
+      max_iter = iter
+
+train_src_param = '--weights="{}" \\\n'.format(pretrain_model)
+if resume_training:
+  if max_iter > 0:
+    train_src_param = '--snapshot="{}_iter_{}.solverstate" \\\n'.format(snapshot_prefix, max_iter)
+
+if remove_old_models:
+  # Remove any snapshots smaller than max_iter.
+  for file in os.listdir(snapshot_dir):
+    if file.endswith(".solverstate"):
+      basename = os.path.splitext(file)[0]
+      iter = int(basename.split("{}_iter_".format(model_name))[1])
+      if max_iter > iter:
+        os.remove("{}/{}".format(snapshot_dir, file))
+    if file.endswith(".caffemodel"):
+      basename = os.path.splitext(file)[0]
+      iter = int(basename.split("{}_iter_".format(model_name))[1])
+      if max_iter > iter:
+        os.remove("{}/{}".format(snapshot_dir, file))
+
+# Create job file.
+with open(job_file, 'w') as f:
+  f.write('cd {}\n'.format(caffe_root))
+  f.write('./build/tools/caffe train \\\n')
+#  f.write('./cmake-build-debug/tools/caffe-d train \\\n')
+  f.write('--solver="{}" \\\n'.format(solver_file))
+  f.write(train_src_param)
+  if solver_param['solver_mode'] == P.Solver.GPU:
+    f.write('--gpu {} 2>&1 | tee {}/{}.log\n'.format(gpus, job_dir, model_name))
+  else:
+    f.write('2>&1 | tee {}/{}.log\n'.format(job_dir, model_name))
+
+# Copy the python script to job_dir.
+py_file = os.path.abspath(__file__)
+shutil.copy(py_file, job_dir)
+
+# Run the job.
+os.chmod(job_file, stat.S_IRWXU)
+if run_soon:
+  subprocess.call(job_file, shell=True)
diff --git a/examples/ssd/ssd_detect.cpp b/examples/ssd/ssd_detect.cpp
new file mode 100644
index 00000000000..11d3dc3bd5e
--- /dev/null
+++ b/examples/ssd/ssd_detect.cpp
@@ -0,0 +1,346 @@
+// This is a demo code for using a SSD model to do detection.
+// The code is modified from examples/cpp_classification/classification.cpp.
+// Usage:
+//    ssd_detect [FLAGS] model_file weights_file list_file
+//
+// where model_file is the .prototxt file defining the network architecture, and
+// weights_file is the .caffemodel file containing the network parameters, and
+// list_file contains a list of image files with the format as follows:
+//    folder/img1.JPEG
+//    folder/img2.JPEG
+// list_file can also contain a list of video files with the format as follows:
+//    folder/video1.mp4
+//    folder/video2.mp4
+//
+#include <caffe/caffe.hpp>
+#include <opencv2/core/core.hpp>
+#include <opencv2/highgui/highgui.hpp>
+#include <opencv2/imgproc/imgproc.hpp>
+#include <algorithm>
+#include <iomanip>
+#include <iosfwd>
+#include <memory>
+#include <string>
+#include <utility>
+#include <vector>
+
+using namespace caffe;  // NOLINT(build/namespaces)
+
+class Detector {
+ public:
+  Detector(const string& model_file,
+           const string& weights_file,
+           const string& mean_file,
+           const string& mean_value);
+
+  std::vector<vector<float> > Detect(const cv::Mat& img);
+
+ private:
+  void SetMean(const string& mean_file, const string& mean_value);
+
+  void WrapInputLayer(std::vector<cv::Mat>* input_channels);
+
+  void Preprocess(const cv::Mat& img,
+                  std::vector<cv::Mat>* input_channels);
+
+ private:
+  shared_ptr<Net> net_;
+  cv::Size input_geometry_;
+  int num_channels_;
+  cv::Mat mean_;
+};
+
+Detector::Detector(const string& model_file,
+                   const string& weights_file,
+                   const string& mean_file,
+                   const string& mean_value) {
+  Caffe::set_mode(Caffe::GPU);
+
+  /* Load the network. */
+  net_.reset(new Net(model_file, TEST));
+  net_->CopyTrainedLayersFrom(weights_file);
+
+  CHECK_EQ(net_->num_inputs(), 1) << "Network should have exactly one input.";
+  CHECK_EQ(net_->num_outputs(), 1) << "Network should have exactly one output.";
+
+  Blob* input_layer = net_->input_blobs()[0];
+  num_channels_ = input_layer->channels();
+  CHECK(num_channels_ == 3 || num_channels_ == 1)
+    << "Input layer should have 1 or 3 channels.";
+  input_geometry_ = cv::Size(input_layer->width(), input_layer->height());
+
+  /* Load the binaryproto mean file. */
+  SetMean(mean_file, mean_value);
+}
+
+std::vector<vector<float> > Detector::Detect(const cv::Mat& img) {
+  Blob* input_layer = net_->input_blobs()[0];
+  input_layer->Reshape(1, num_channels_,
+                       input_geometry_.height, input_geometry_.width);
+  /* Forward dimension change to all layers. */
+  net_->Reshape();
+
+  std::vector<cv::Mat> input_channels;
+  WrapInputLayer(&input_channels);
+
+  Preprocess(img, &input_channels);
+
+  net_->Forward();
+
+  /* Copy the output layer to a std::vector */
+  Blob* result_blob = net_->output_blobs()[0];
+  const float* result = result_blob->cpu_data<float>();
+  const int num_det = result_blob->height();
+  vector<vector<float> > detections;
+  for (int k = 0; k < num_det; ++k) {
+    if (result[0] == -1) {
+      // Skip invalid detection.
+      result += 7;
+      continue;
+    }
+    vector<float> detection(result, result + 7);
+    detections.push_back(detection);
+    result += 7;
+  }
+  return detections;
+}
+
+/* Load the mean file in binaryproto format. */
+void Detector::SetMean(const string& mean_file, const string& mean_value) {
+  cv::Scalar channel_mean;
+  if (!mean_file.empty()) {
+    CHECK(mean_value.empty()) <<
+      "Cannot specify mean_file and mean_value at the same time";
+    BlobProto blob_proto;
+    ReadProtoFromBinaryFileOrDie(mean_file.c_str(), &blob_proto);
+
+    /* Convert from BlobProto to Blob<float> */
+    TBlob<float> mean_blob;
+    mean_blob.FromProto(blob_proto);
+    CHECK_EQ(mean_blob.channels(), num_channels_)
+      << "Number of channels of mean file doesn't match input layer.";
+
+    /* The format of the mean file is planar 32-bit float BGR or grayscale. */
+    std::vector<cv::Mat> channels;
+    float* data = mean_blob.mutable_cpu_data();
+    for (int i = 0; i < num_channels_; ++i) {
+      /* Extract an individual channel. */
+      cv::Mat channel(mean_blob.height(), mean_blob.width(), CV_32FC1, data);
+      channels.push_back(channel);
+      data += mean_blob.height() * mean_blob.width();
+    }
+
+    /* Merge the separate channels into a single image. */
+    cv::Mat mean;
+    cv::merge(channels, mean);
+
+    /* Compute the global mean pixel value and create a mean image
+     * filled with this value. */
+    channel_mean = cv::mean(mean);
+    mean_ = cv::Mat(input_geometry_, mean.type(), channel_mean);
+  }
+  if (!mean_value.empty()) {
+    CHECK(mean_file.empty()) <<
+      "Cannot specify mean_file and mean_value at the same time";
+    stringstream ss(mean_value);
+    vector<float> values;
+    string item;
+    while (getline(ss, item, ',')) {
+      float value = std::atof(item.c_str());
+      values.push_back(value);
+    }
+    CHECK(values.size() == 1 || values.size() == num_channels_) <<
+      "Specify either 1 mean_value or as many as channels: " << num_channels_;
+
+    std::vector<cv::Mat> channels;
+    for (int i = 0; i < num_channels_; ++i) {
+      /* Extract an individual channel. */
+      cv::Mat channel(input_geometry_.height, input_geometry_.width, CV_32FC1,
+          cv::Scalar(values[i]));
+      channels.push_back(channel);
+    }
+    cv::merge(channels, mean_);
+  }
+}
+
+/* Wrap the input layer of the network in separate cv::Mat objects
+ * (one per channel). This way we save one memcpy operation and we
+ * don't need to rely on cudaMemcpy2D. The last preprocessing
+ * operation will write the separate channels directly to the input
+ * layer. */
+void Detector::WrapInputLayer(std::vector<cv::Mat>* input_channels) {
+  Blob* input_layer = net_->input_blobs()[0];
+
+  int width = input_layer->width();
+  int height = input_layer->height();
+  float* input_data = input_layer->mutable_cpu_data<float>();
+  for (int i = 0; i < input_layer->channels(); ++i) {
+    cv::Mat channel(height, width, CV_32FC1, input_data);
+    input_channels->push_back(channel);
+    input_data += width * height;
+  }
+}
+
+void Detector::Preprocess(const cv::Mat& img,
+                            std::vector<cv::Mat>* input_channels) {
+  /* Convert the input image to the input image format of the network. */
+  cv::Mat sample;
+  if (img.channels() == 3 && num_channels_ == 1)
+    cv::cvtColor(img, sample, cv::COLOR_BGR2GRAY);
+  else if (img.channels() == 4 && num_channels_ == 1)
+    cv::cvtColor(img, sample, cv::COLOR_BGRA2GRAY);
+  else if (img.channels() == 4 && num_channels_ == 3)
+    cv::cvtColor(img, sample, cv::COLOR_BGRA2BGR);
+  else if (img.channels() == 1 && num_channels_ == 3)
+    cv::cvtColor(img, sample, cv::COLOR_GRAY2BGR);
+  else
+    sample = img;
+
+  cv::Mat sample_resized;
+  if (sample.size() != input_geometry_)
+    cv::resize(sample, sample_resized, input_geometry_);
+  else
+    sample_resized = sample;
+
+  cv::Mat sample_float;
+  if (num_channels_ == 3)
+    sample_resized.convertTo(sample_float, CV_32FC3);
+  else
+    sample_resized.convertTo(sample_float, CV_32FC1);
+
+  cv::Mat sample_normalized;
+  cv::subtract(sample_float, mean_, sample_normalized);
+
+  /* This operation will write the separate BGR planes directly to the
+   * input layer of the network because it is wrapped by the cv::Mat
+   * objects in input_channels. */
+  cv::split(sample_normalized, *input_channels);
+
+  CHECK(reinterpret_cast<float*>(input_channels->at(0).data)
+        == net_->input_blobs()[0]->cpu_data<float>())
+    << "Input channels are not wrapping the input layer of the network.";
+}
+
+DEFINE_string(mean_file, "",
+    "The mean file used to subtract from the input image.");
+DEFINE_string(mean_value, "104,117,123",
+    "If specified, can be one value or can be same as image channels"
+    " - would subtract from the corresponding channel). Separated by ','."
+    "Either mean_file or mean_value should be provided, not both.");
+DEFINE_string(file_type, "image",
+    "The file type in the list_file. Currently support image and video.");
+DEFINE_string(out_file, "",
+    "If provided, store the detection results in the out_file.");
+DEFINE_double(confidence_threshold, 0.01,
+    "Only store detections with score higher than the threshold.");
+
+int main(int argc, char** argv) {
+  ::google::InitGoogleLogging(argv[0]);
+  // Print output to stderr (while still logging)
+  FLAGS_alsologtostderr = 1;
+
+#ifndef GFLAGS_GFLAGS_H_
+  namespace gflags = google;
+#endif
+
+  gflags::SetUsageMessage("Do detection using SSD mode.\n"
+        "Usage:\n"
+        "    ssd_detect [FLAGS] model_file weights_file list_file\n");
+  gflags::ParseCommandLineFlags(&argc, &argv, true);
+
+  if (argc < 4) {
+    gflags::ShowUsageWithFlagsRestrict(argv[0], "examples/ssd/ssd_detect");
+    return 1;
+  }
+
+  const string& model_file = argv[1];
+  const string& weights_file = argv[2];
+  const string& mean_file = FLAGS_mean_file;
+  const string& mean_value = FLAGS_mean_value;
+  const string& file_type = FLAGS_file_type;
+  const string& out_file = FLAGS_out_file;
+  const float confidence_threshold = FLAGS_confidence_threshold;
+
+  // Initialize the network.
+  Detector detector(model_file, weights_file, mean_file, mean_value);
+
+  // Set the output mode.
+  std::streambuf* buf = std::cout.rdbuf();
+  std::ofstream outfile;
+  if (!out_file.empty()) {
+    outfile.open(out_file.c_str());
+    if (outfile.good()) {
+      buf = outfile.rdbuf();
+    }
+  }
+  std::ostream out(buf);
+
+  // Process image one by one.
+  std::ifstream infile(argv[3]);
+  std::string file;
+  while (infile >> file) {
+    if (file_type == "image") {
+      cv::Mat img = cv::imread(file, -1);
+      CHECK(!img.empty()) << "Unable to decode image " << file;
+      std::vector<vector<float> > detections = detector.Detect(img);
+
+      /* Print the detection results. */
+      for (int i = 0; i < detections.size(); ++i) {
+        const vector<float>& d = detections[i];
+        // Detection format: [image_id, label, score, xmin, ymin, xmax, ymax].
+        CHECK_EQ(d.size(), 7);
+        const float score = d[2];
+        if (score >= confidence_threshold) {
+          out << file << " ";
+          out << static_cast<int>(d[1]) << " ";
+          out << score << " ";
+          out << static_cast<int>(d[3] * img.cols) << " ";
+          out << static_cast<int>(d[4] * img.rows) << " ";
+          out << static_cast<int>(d[5] * img.cols) << " ";
+          out << static_cast<int>(d[6] * img.rows) << std::endl;
+        }
+      }
+    } else if (file_type == "video") {
+      cv::VideoCapture cap(file);
+      if (!cap.isOpened()) {
+        LOG(FATAL) << "Failed to open video: " << file;
+      }
+      cv::Mat img;
+      int frame_count = 0;
+      while (true) {
+        bool success = cap.read(img);
+        if (!success) {
+          LOG(INFO) << "Process " << frame_count << " frames from " << file;
+          break;
+        }
+        CHECK(!img.empty()) << "Error when read frame";
+        std::vector<vector<float> > detections = detector.Detect(img);
+
+        /* Print the detection results. */
+        for (int i = 0; i < detections.size(); ++i) {
+          const vector<float>& d = detections[i];
+          // Detection format: [image_id, label, score, xmin, ymin, xmax, ymax].
+          CHECK_EQ(d.size(), 7);
+          const float score = d[2];
+          if (score >= confidence_threshold) {
+            out << file << "_";
+            out << std::setfill('0') << std::setw(6) << frame_count << " ";
+            out << static_cast<int>(d[1]) << " ";
+            out << score << " ";
+            out << static_cast<int>(d[3] * img.cols) << " ";
+            out << static_cast<int>(d[4] * img.rows) << " ";
+            out << static_cast<int>(d[5] * img.cols) << " ";
+            out << static_cast<int>(d[6] * img.rows) << std::endl;
+          }
+        }
+        ++frame_count;
+      }
+      if (cap.isOpened()) {
+        cap.release();
+      }
+    } else {
+      LOG(FATAL) << "Unknown file_type: " << file_type;
+    }
+  }
+  return 0;
+}
diff --git a/examples/ssd/ssd_detect.py b/examples/ssd/ssd_detect.py
new file mode 100644
index 00000000000..945930bea03
--- /dev/null
+++ b/examples/ssd/ssd_detect.py
@@ -0,0 +1,149 @@
+#encoding=utf8
+'''
+Detection with SSD
+In this example, we will load a SSD model and use it to detect objects.
+'''
+
+import os
+import sys
+import argparse
+import numpy as np
+from PIL import Image, ImageDraw
+# Make sure that caffe is on the python path:
+caffe_root = './'
+os.chdir(caffe_root)
+sys.path.insert(0, os.path.join(caffe_root, 'python'))
+import caffe
+
+from google.protobuf import text_format
+from caffe.proto import caffe_pb2
+
+
+def get_labelname(labelmap, labels):
+    num_labels = len(labelmap.item)
+    labelnames = []
+    if type(labels) is not list:
+        labels = [labels]
+    for label in labels:
+        found = False
+        for i in xrange(0, num_labels):
+            if label == labelmap.item[i].label:
+                found = True
+                labelnames.append(labelmap.item[i].display_name)
+                break
+        assert found == True
+    return labelnames
+
+class CaffeDetection:
+    def __init__(self, gpu_id, model_def, model_weights, image_resize, labelmap_file):
+        caffe.set_device(gpu_id)
+        caffe.set_mode_gpu()
+
+        self.image_resize = image_resize
+        # Load the net in the test phase for inference, and configure input preprocessing.
+        self.net = caffe.Net(model_def,      # defines the structure of the model
+                             model_weights,  # contains the trained weights
+                             caffe.TEST)     # use test mode (e.g., don't perform dropout)
+         # input preprocessing: 'data' is the name of the input blob == net.inputs[0]
+        self.transformer = caffe.io.Transformer({'data': self.net.blobs['data'].data.shape})
+        self.transformer.set_transpose('data', (2, 0, 1))
+        self.transformer.set_mean('data', np.array([104, 117, 123])) # mean pixel
+        # the reference model operates on images in [0,255] range instead of [0,1]
+        self.transformer.set_raw_scale('data', 255)
+        # the reference model has channels in BGR order instead of RGB
+        self.transformer.set_channel_swap('data', (2, 1, 0))
+
+        # load PASCAL VOC labels
+        file = open(labelmap_file, 'r')
+        self.labelmap = caffe_pb2.LabelMap()
+        text_format.Merge(str(file.read()), self.labelmap)
+
+    def detect(self, image_file, conf_thresh=0.5, topn=5):
+        '''
+        SSD detection
+        '''
+        # set net to batch size of 1
+        # image_resize = 300
+        self.net.blobs['data'].reshape(1, 3, self.image_resize, self.image_resize)
+        image = caffe.io.load_image(image_file)
+
+        #Run the net and examine the top_k results
+        transformed_image = self.transformer.preprocess('data', image)
+        self.net.blobs['data'].data[...] = transformed_image
+
+        # Forward pass.
+        detections = self.net.forward()['detection_out']
+
+        # Parse the outputs.
+        det_label = detections[0,0,:,1]
+        det_conf = detections[0,0,:,2]
+        det_xmin = detections[0,0,:,3]
+        det_ymin = detections[0,0,:,4]
+        det_xmax = detections[0,0,:,5]
+        det_ymax = detections[0,0,:,6]
+
+        # Get detections with confidence higher than 0.6.
+        top_indices = [i for i, conf in enumerate(det_conf) if conf >= conf_thresh]
+
+        top_conf = det_conf[top_indices]
+        top_label_indices = det_label[top_indices].tolist()
+        top_labels = get_labelname(self.labelmap, top_label_indices)
+        top_xmin = det_xmin[top_indices]
+        top_ymin = det_ymin[top_indices]
+        top_xmax = det_xmax[top_indices]
+        top_ymax = det_ymax[top_indices]
+
+        result = []
+        for i in xrange(min(topn, top_conf.shape[0])):
+            xmin = top_xmin[i] # xmin = int(round(top_xmin[i] * image.shape[1]))
+            ymin = top_ymin[i] # ymin = int(round(top_ymin[i] * image.shape[0]))
+            xmax = top_xmax[i] # xmax = int(round(top_xmax[i] * image.shape[1]))
+            ymax = top_ymax[i] # ymax = int(round(top_ymax[i] * image.shape[0]))
+            score = top_conf[i]
+            label = int(top_label_indices[i])
+            label_name = top_labels[i]
+            result.append([xmin, ymin, xmax, ymax, label, score, label_name])
+        return result
+
+def main(args):
+    '''main '''
+    detection = CaffeDetection(args.gpu_id,
+                               args.model_def, args.model_weights,
+                               args.image_resize, args.labelmap_file)
+    result = detection.detect(args.image_file)
+    print result
+
+    img = Image.open(args.image_file)
+    draw = ImageDraw.Draw(img)
+    width, height = img.size
+    print width, height
+    for item in result:
+        xmin = int(round(item[0] * width))
+        ymin = int(round(item[1] * height))
+        xmax = int(round(item[2] * width))
+        ymax = int(round(item[3] * height))
+        draw.rectangle([xmin, ymin, xmax, ymax], outline=(255, 0, 0))
+        draw.text([xmin, ymin], item[-1] + str(item[-2]), (0, 0, 255))
+        print item
+        print [xmin, ymin, xmax, ymax]
+        print [xmin, ymin], item[-1]
+    img.save('detect_result.jpg')
+
+
+def parse_args():
+    '''parse args'''
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--gpu_id', type=int, default=0, help='gpu id')
+    parser.add_argument('--labelmap_file',
+                        default='data/VOC0712/labelmap_voc.prototxt')
+    parser.add_argument('--model_def',
+                        default='models/VGGNet/VOC0712/SSD_300x300/deploy.prototxt')
+    parser.add_argument('--image_resize', default=300, type=int)
+    parser.add_argument('--model_weights',
+                        default='models/VGGNet/VOC0712/SSD_300x300/'
+                        'VGG_VOC0712_SSD_300x300_iter_120000.caffemodel')
+    parser.add_argument('--image_file', default='examples/images/fish-bike.jpg')
+    return parser.parse_args()
+
+if __name__ == '__main__':
+    main(parse_args())
diff --git a/examples/ssd/ssd_ilsvrc.py b/examples/ssd/ssd_ilsvrc.py
new file mode 100644
index 00000000000..932bc0da2e4
--- /dev/null
+++ b/examples/ssd/ssd_ilsvrc.py
@@ -0,0 +1,575 @@
+from __future__ import print_function
+import caffe
+from google.protobuf import text_format
+
+import math
+import os
+import shutil
+import stat
+import subprocess
+import sys
+
+sys.path.insert(0, 'examples/ssd')
+from model_libs import *
+
+# Add extra layers on top of a "base" network (e.g. VGGNet or Inception).
+def AddExtraLayers(net, use_batchnorm=True, lr_mult=1):
+    use_relu = True
+
+    # Add additional convolutional layers.
+    # 19 x 19
+    from_layer = net.keys()[-1]
+
+    # TODO(weiliu89): Construct the name using the last layer to avoid duplication.
+    # 10 x 10
+    out_layer = "conv6_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 1, 0, 1,
+        lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv6_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 512, 3, 1, 2,
+        lr_mult=lr_mult)
+
+    # 5 x 5
+    from_layer = out_layer
+    out_layer = "conv7_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv7_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 1, 2,
+      lr_mult=lr_mult)
+
+    # 3 x 3
+    from_layer = out_layer
+    out_layer = "conv8_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv8_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 0, 1,
+      lr_mult=lr_mult)
+
+    # 1 x 1
+    from_layer = out_layer
+    out_layer = "conv9_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv9_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 0, 1,
+      lr_mult=lr_mult)
+
+    return net
+
+
+### Modify the following parameters accordingly ###
+# The directory which contains the caffe code.
+# We assume you are running the script at the CAFFE_ROOT.
+caffe_root = os.getcwd()
+
+# Set true if you want to start training right after generating all files.
+run_soon = True
+# Set true if you want to load from most recently saved snapshot.
+# Otherwise, we will load from the pretrain_model defined below.
+resume_training = True
+# If true, Remove old model files.
+remove_old_models = True
+
+# The database file for training data. Created by data/ILSVRC2016/create_data.sh
+train_data = "examples/ILSVRC2016/ILSVRC2016_trainval1_lmdb"
+# The database file for testing data. Created by data/ILSVRC2016/create_data.sh
+test_data = "examples/ILSVRC2016/ILSVRC2016_val2_lmdb"
+# Specify the batch sampler.
+resize_width = 300
+resize_height = 300
+resize = "{}x{}".format(resize_width, resize_height)
+batch_sampler = [
+        {
+                'sampler': {
+                        },
+                'max_trials': 1,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.1,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.3,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.5,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.7,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.9,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'max_jaccard_overlap': 1.0,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        ]
+train_transform_param = {
+        'mirror': True,
+        'mean_value': [104, 117, 123],
+        'force_color': True,
+        'resize_param': {
+                'prob': 1,
+                'resize_mode': P.Resize.WARP,
+                'height': resize_height,
+                'width': resize_width,
+                'interp_mode': [
+                        P.Resize.LINEAR,
+                        P.Resize.AREA,
+                        P.Resize.NEAREST,
+                        P.Resize.CUBIC,
+                        P.Resize.LANCZOS4,
+                        ],
+                },
+        'distort_param': {
+                'brightness_prob': 0.5,
+                'brightness_delta': 32,
+                'contrast_prob': 0.5,
+                'contrast_lower': 0.5,
+                'contrast_upper': 1.5,
+                'hue_prob': 0.5,
+                'hue_delta': 18,
+                'saturation_prob': 0.5,
+                'saturation_lower': 0.5,
+                'saturation_upper': 1.5,
+                'random_order_prob': 0.0,
+                },
+        'expand_param': {
+                'prob': 0.5,
+                'max_expand_ratio': 4.0,
+                },
+        'emit_constraint': {
+            'emit_type': caffe_pb2.EmitConstraint.CENTER,
+            }
+        }
+test_transform_param = {
+        'mean_value': [104, 117, 123],
+        'force_color': True,
+        'resize_param': {
+                'prob': 1,
+                'resize_mode': P.Resize.WARP,
+                'height': resize_height,
+                'width': resize_width,
+                'interp_mode': [P.Resize.LINEAR],
+                },
+        }
+
+# If true, use batch norm for all newly added layers.
+# Currently only the non batch norm version has been tested.
+use_batchnorm = False
+lr_mult = 1
+# Use different initial learning rate.
+if use_batchnorm:
+    base_lr = 0.0004
+else:
+    # A learning rate for batch_size = 1, num_gpus = 1.
+    base_lr = 0.00004
+
+# Modify the job name if you want.
+job_name = "SSD_{}".format(resize)
+# The name of the model. Modify it if you want.
+model_name = "VGG_ILSVRC2016_{}".format(job_name)
+
+# Directory which stores the model .prototxt file.
+save_dir = "models/VGGNet/ILSVRC2016/{}".format(job_name)
+# Directory which stores the snapshot of models.
+snapshot_dir = "models/VGGNet/ILSVRC2016/{}".format(job_name)
+# Directory which stores the job script and log file.
+job_dir = "jobs/VGGNet/ILSVRC2016/{}".format(job_name)
+# Directory which stores the detection results.
+output_result_dir = "{}/data/ILSVRC2016/results/{}".format(os.environ['HOME'], job_name)
+
+# model definition files.
+train_net_file = "{}/train.prototxt".format(save_dir)
+test_net_file = "{}/test.prototxt".format(save_dir)
+deploy_net_file = "{}/deploy.prototxt".format(save_dir)
+solver_file = "{}/solver.prototxt".format(save_dir)
+# snapshot prefix.
+snapshot_prefix = "{}/{}".format(snapshot_dir, model_name)
+# job script path.
+job_file = "{}/{}.sh".format(job_dir, model_name)
+
+# Stores the test image names and sizes. Created by data/ILSVRC2016/create_list.py
+name_size_file = "data/ILSVRC2016/val2_name_size.txt"
+# The pretrained model. We use the Fully convolutional reduced (atrous) VGGNet.
+pretrain_model = "models/VGGNet/VGG_ILSVRC_16_layers_fc_reduced.caffemodel"
+# Stores LabelMapItem.
+label_map_file = "data/ILSVRC2016/labelmap_ilsvrc_det.prototxt"
+
+# MultiBoxLoss parameters.
+num_classes = 201
+share_location = True
+background_label_id=0
+train_on_diff_gt = False
+normalization_mode = P.Loss.VALID
+code_type = P.PriorBox.CENTER_SIZE
+ignore_cross_boundary_bbox = False
+mining_type = P.MultiBoxLoss.MAX_NEGATIVE
+neg_pos_ratio = 3.
+loc_weight = (neg_pos_ratio + 1.) / 4.
+multibox_loss_param = {
+    'loc_loss_type': P.MultiBoxLoss.SMOOTH_L1,
+    'conf_loss_type': P.MultiBoxLoss.SOFTMAX,
+    'loc_weight': loc_weight,
+    'num_classes': num_classes,
+    'share_location': share_location,
+    'match_type': P.MultiBoxLoss.PER_PREDICTION,
+    'overlap_threshold': 0.5,
+    'use_prior_for_matching': True,
+    'background_label_id': background_label_id,
+    'use_difficult_gt': train_on_diff_gt,
+    'mining_type': mining_type,
+    'neg_pos_ratio': neg_pos_ratio,
+    'neg_overlap': 0.5,
+    'code_type': code_type,
+    'ignore_cross_boundary_bbox': ignore_cross_boundary_bbox,
+    }
+loss_param = {
+    'normalization': normalization_mode,
+    }
+
+# parameters for generating priors.
+# minimum dimension of input image
+min_dim = 300
+# conv4_3 ==> 38 x 38
+# fc7 ==> 19 x 19
+# conv6_2 ==> 10 x 10
+# conv7_2 ==> 5 x 5
+# conv8_2 ==> 3 x 3
+# conv9_2 ==> 1 x 1
+mbox_source_layers = ['conv4_3', 'fc7', 'conv6_2', 'conv7_2', 'conv8_2', 'conv9_2']
+# in percent %
+min_ratio = 20
+max_ratio = 90
+step = int(math.floor((max_ratio - min_ratio) / (len(mbox_source_layers) - 2)))
+min_sizes = []
+max_sizes = []
+for ratio in xrange(min_ratio, max_ratio + 1, step):
+  min_sizes.append(min_dim * ratio / 100.)
+  max_sizes.append(min_dim * (ratio + step) / 100.)
+min_sizes = [min_dim * 10 / 100.] + min_sizes
+max_sizes = [min_dim * 20 / 100.] + max_sizes
+steps = [8, 16, 32, 64, 100, 300]
+aspect_ratios = [[2], [2, 3], [2, 3], [2, 3], [2], [2]]
+# L2 normalize conv4_3.
+normalizations = [20, -1, -1, -1, -1, -1]
+# variance used to encode/decode prior bboxes.
+if code_type == P.PriorBox.CENTER_SIZE:
+  prior_variance = [0.1, 0.1, 0.2, 0.2]
+else:
+  prior_variance = [0.1]
+flip = True
+clip = False
+
+# Solver parameters.
+# Defining which GPUs to use.
+gpus = "0,1,2,3"
+gpulist = gpus.split(",")
+num_gpus = len(gpulist)
+
+# Divide the mini-batch to different GPUs.
+batch_size = 32
+accum_batch_size = 32
+iter_size = accum_batch_size / batch_size
+solver_mode = P.Solver.CPU
+device_id = 0
+batch_size_per_device = batch_size
+if num_gpus > 0:
+  batch_size_per_device = int(math.ceil(float(batch_size) / num_gpus))
+  iter_size = int(math.ceil(float(accum_batch_size) / (batch_size_per_device * num_gpus)))
+  solver_mode = P.Solver.GPU
+  device_id = int(gpulist[0])
+
+if normalization_mode == P.Loss.NONE:
+  base_lr /= batch_size_per_device
+elif normalization_mode == P.Loss.VALID:
+  base_lr *= 25. / loc_weight
+elif normalization_mode == P.Loss.FULL:
+  # Roughly there are 2000 prior bboxes per image.
+  # TODO(weiliu89): Estimate the exact # of priors.
+  base_lr *= 2000.
+
+# Evaluate on whole test set.
+num_test_image = 9917
+test_batch_size = 1
+test_iter = num_test_image / test_batch_size
+
+solver_param = {
+    # Train parameters
+    'base_lr': base_lr,
+    'weight_decay': 0.0005,
+    'lr_policy': "multistep",
+    'stepvalue': [320000, 400000, 440000],
+    'gamma': 0.1,
+    'momentum': 0.9,
+    'iter_size': iter_size,
+    'max_iter': 440000,
+    'snapshot': 30000,
+    'display': 10,
+    'average_loss': 10,
+    'type': "SGD",
+    'solver_mode': solver_mode,
+    'device_id': device_id,
+    'debug_info': False,
+    'snapshot_after_train': True,
+    # Test parameters
+    'test_iter': [test_iter],
+    'test_interval': 10000,
+    'eval_type': "detection",
+    'ap_version': "MaxIntegral",
+    'test_initialization': False,
+    }
+
+# parameters for generating detection output.
+det_out_param = {
+    'num_classes': num_classes,
+    'share_location': share_location,
+    'background_label_id': background_label_id,
+    'nms_param': {'nms_threshold': 0.45, 'top_k': 400},
+    'save_output_param': {
+        'output_directory': output_result_dir,
+        'output_name_prefix': "val2_ssd{}_results".format(min_dim),
+        'output_format': "ILSVRC",
+        'label_map_file': label_map_file,
+        'name_size_file': name_size_file,
+        'num_test_image': num_test_image,
+        },
+    'keep_top_k': 200,
+    'confidence_threshold': 0.01,
+    'code_type': code_type,
+    }
+
+# parameters for evaluating detection results.
+det_eval_param = {
+    'num_classes': num_classes,
+    'background_label_id': background_label_id,
+    'overlap_threshold': 0.5,
+    'evaluate_difficult_gt': False,
+    'name_size_file': name_size_file,
+    }
+
+### Hopefully you don't need to change the following ###
+# Check file.
+check_if_exist(train_data)
+check_if_exist(test_data)
+check_if_exist(label_map_file)
+check_if_exist(pretrain_model)
+make_if_not_exist(save_dir)
+make_if_not_exist(job_dir)
+make_if_not_exist(snapshot_dir)
+
+# Create train net.
+net = caffe.NetSpec()
+net.data, net.label = CreateAnnotatedDataLayer(train_data, batch_size=batch_size_per_device,
+        train=True, output_label=True, label_map_file=label_map_file,
+        transform_param=train_transform_param, batch_sampler=batch_sampler)
+
+VGGNetBody(net, from_layer='data', fully_conv=True, reduced=True, dilated=True,
+    dropout=False)
+
+AddExtraLayers(net, use_batchnorm, lr_mult=lr_mult)
+
+mbox_layers = CreateMultiBoxHead(net, data_layer='data', from_layers=mbox_source_layers,
+        use_batchnorm=use_batchnorm, min_sizes=min_sizes, max_sizes=max_sizes,
+        aspect_ratios=aspect_ratios, steps=steps, normalizations=normalizations,
+        num_classes=num_classes, share_location=share_location, flip=flip, clip=clip,
+        prior_variance=prior_variance, kernel_size=3, pad=1, lr_mult=lr_mult)
+
+# Create the MultiBoxLossLayer.
+name = "mbox_loss"
+mbox_layers.append(net.label)
+net[name] = L.MultiBoxLoss(*mbox_layers, multibox_loss_param=multibox_loss_param,
+        loss_param=loss_param, include=dict(phase=caffe_pb2.Phase.Value('TRAIN')),
+        propagate_down=[True, True, False, False])
+
+with open(train_net_file, 'w') as f:
+    print('name: "{}_train"'.format(model_name), file=f)
+    print(net.to_proto(), file=f)
+shutil.copy(train_net_file, job_dir)
+
+# Create test net.
+net = caffe.NetSpec()
+net.data, net.label = CreateAnnotatedDataLayer(test_data, batch_size=test_batch_size,
+        train=False, output_label=True, label_map_file=label_map_file,
+        transform_param=test_transform_param)
+
+VGGNetBody(net, from_layer='data', fully_conv=True, reduced=True, dilated=True,
+    dropout=False)
+
+AddExtraLayers(net, use_batchnorm, lr_mult=lr_mult)
+
+mbox_layers = CreateMultiBoxHead(net, data_layer='data', from_layers=mbox_source_layers,
+        use_batchnorm=use_batchnorm, min_sizes=min_sizes, max_sizes=max_sizes,
+        aspect_ratios=aspect_ratios, steps=steps, normalizations=normalizations,
+        num_classes=num_classes, share_location=share_location, flip=flip, clip=clip,
+        prior_variance=prior_variance, kernel_size=3, pad=1, lr_mult=lr_mult)
+
+conf_name = "mbox_conf"
+if multibox_loss_param["conf_loss_type"] == P.MultiBoxLoss.SOFTMAX:
+  reshape_name = "{}_reshape".format(conf_name)
+  net[reshape_name] = L.Reshape(net[conf_name], shape=dict(dim=[0, -1, num_classes]))
+  softmax_name = "{}_softmax".format(conf_name)
+  net[softmax_name] = L.Softmax(net[reshape_name], axis=2)
+  flatten_name = "{}_flatten".format(conf_name)
+  net[flatten_name] = L.Flatten(net[softmax_name], axis=1)
+  mbox_layers[1] = net[flatten_name]
+elif multibox_loss_param["conf_loss_type"] == P.MultiBoxLoss.LOGISTIC:
+  sigmoid_name = "{}_sigmoid".format(conf_name)
+  net[sigmoid_name] = L.Sigmoid(net[conf_name])
+  mbox_layers[1] = net[sigmoid_name]
+
+net.detection_out = L.DetectionOutput(*mbox_layers,
+    detection_output_param=det_out_param,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+net.detection_eval = L.DetectionEvaluate(net.detection_out, net.label,
+    detection_evaluate_param=det_eval_param,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+
+with open(test_net_file, 'w') as f:
+    print('name: "{}_test"'.format(model_name), file=f)
+    print(net.to_proto(), file=f)
+shutil.copy(test_net_file, job_dir)
+
+# Create deploy net.
+# Remove the first and last layer from test net.
+deploy_net = net
+with open(deploy_net_file, 'w') as f:
+    net_param = deploy_net.to_proto()
+    # Remove the first (AnnotatedData) and last (DetectionEvaluate) layer from test net.
+    del net_param.layer[0]
+    del net_param.layer[-1]
+    net_param.name = '{}_deploy'.format(model_name)
+    net_param.input.extend(['data'])
+    net_param.input_shape.extend([
+        caffe_pb2.BlobShape(dim=[1, 3, resize_height, resize_width])])
+    print(net_param, file=f)
+shutil.copy(deploy_net_file, job_dir)
+
+# Create solver.
+solver = caffe_pb2.SolverParameter(
+        train_net=train_net_file,
+        test_net=[test_net_file],
+        snapshot_prefix=snapshot_prefix,
+        **solver_param)
+
+with open(solver_file, 'w') as f:
+    print(solver, file=f)
+shutil.copy(solver_file, job_dir)
+
+max_iter = 0
+# Find most recent snapshot.
+for file in os.listdir(snapshot_dir):
+  if file.endswith(".solverstate"):
+    basename = os.path.splitext(file)[0]
+    iter = int(basename.split("{}_iter_".format(model_name))[1])
+    if iter > max_iter:
+      max_iter = iter
+
+train_src_param = '--weights="{}" \\\n'.format(pretrain_model)
+if resume_training:
+  if max_iter > 0:
+    train_src_param = '--snapshot="{}_iter_{}.solverstate" \\\n'.format(snapshot_prefix, max_iter)
+
+if remove_old_models:
+  # Remove any snapshots smaller than max_iter.
+  for file in os.listdir(snapshot_dir):
+    if file.endswith(".solverstate"):
+      basename = os.path.splitext(file)[0]
+      iter = int(basename.split("{}_iter_".format(model_name))[1])
+      if max_iter > iter:
+        os.remove("{}/{}".format(snapshot_dir, file))
+    if file.endswith(".caffemodel"):
+      basename = os.path.splitext(file)[0]
+      iter = int(basename.split("{}_iter_".format(model_name))[1])
+      if max_iter > iter:
+        os.remove("{}/{}".format(snapshot_dir, file))
+
+# Create job file.
+with open(job_file, 'w') as f:
+  f.write('cd {}\n'.format(caffe_root))
+  f.write('./build/tools/caffe train \\\n')
+  f.write('--solver="{}" \\\n'.format(solver_file))
+  f.write(train_src_param)
+  if solver_param['solver_mode'] == P.Solver.GPU:
+    f.write('--gpu {} 2>&1 | tee {}/{}.log\n'.format(gpus, job_dir, model_name))
+  else:
+    f.write('2>&1 | tee {}/{}.log\n'.format(job_dir, model_name))
+
+# Copy the python script to job_dir.
+py_file = os.path.abspath(__file__)
+shutil.copy(py_file, job_dir)
+
+# Run the job.
+os.chmod(job_file, stat.S_IRWXU)
+if run_soon:
+  subprocess.call(job_file, shell=True)
diff --git a/examples/ssd/ssd_pascal.py b/examples/ssd/ssd_pascal.py
new file mode 100644
index 00000000000..e7a98174b82
--- /dev/null
+++ b/examples/ssd/ssd_pascal.py
@@ -0,0 +1,575 @@
+from __future__ import print_function
+import caffe
+from google.protobuf import text_format
+
+import math
+import os
+import shutil
+import stat
+import subprocess
+import sys
+
+sys.path.insert(0, 'examples/ssd')
+from model_libs import *
+
+# Add extra layers on top of a "base" network (e.g. VGGNet or Inception).
+def AddExtraLayers(net, use_batchnorm=True, lr_mult=1):
+    use_relu = True
+
+    # Add additional convolutional layers.
+    # 19 x 19
+    from_layer = net.keys()[-1]
+
+    # TODO(weiliu89): Construct the name using the last layer to avoid duplication.
+    # 10 x 10
+    out_layer = "conv6_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 1, 0, 1,
+        lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv6_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 512, 3, 1, 2,
+        lr_mult=lr_mult)
+
+    # 5 x 5
+    from_layer = out_layer
+    out_layer = "conv7_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv7_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 1, 2,
+      lr_mult=lr_mult)
+
+    # 3 x 3
+    from_layer = out_layer
+    out_layer = "conv8_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv8_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 0, 1,
+      lr_mult=lr_mult)
+
+    # 1 x 1
+    from_layer = out_layer
+    out_layer = "conv9_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv9_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 0, 1,
+      lr_mult=lr_mult)
+
+    return net
+
+
+### Modify the following parameters accordingly ###
+# The directory which contains the caffe code.
+# We assume you are running the script at the CAFFE_ROOT.
+caffe_root = os.getcwd()
+
+# Set true if you want to start training right after generating all files.
+run_soon = True
+# Set true if you want to load from most recently saved snapshot.
+# Otherwise, we will load from the pretrain_model defined below.
+resume_training = True
+# If true, Remove old model files.
+remove_old_models = False
+
+# The database file for training data. Created by data/VOC0712/create_data.sh
+train_data = "examples/VOC0712/VOC0712_trainval_lmdb"
+# The database file for testing data. Created by data/VOC0712/create_data.sh
+test_data = "examples/VOC0712/VOC0712_test_lmdb"
+# Specify the batch sampler.
+resize_width = 300
+resize_height = 300
+resize = "{}x{}".format(resize_width, resize_height)
+batch_sampler = [
+        {
+                'sampler': {
+                        },
+                'max_trials': 1,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.1,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.3,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.5,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.7,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.9,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'max_jaccard_overlap': 1.0,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        ]
+train_transform_param = {
+        'mirror': True,
+        'mean_value': [104, 117, 123],
+        'resize_param': {
+                'prob': 1,
+                'resize_mode': P.Resize.WARP,
+                'height': resize_height,
+                'width': resize_width,
+                'interp_mode': [
+                        P.Resize.LINEAR,
+                        P.Resize.AREA,
+                        P.Resize.NEAREST,
+                        P.Resize.CUBIC,
+                        P.Resize.LANCZOS4,
+                        ],
+                },
+        'distort_param': {
+                'brightness_prob': 0.5,
+                'brightness_delta': 32,
+                'contrast_prob': 0.5,
+                'contrast_lower': 0.5,
+                'contrast_upper': 1.5,
+                'hue_prob': 0.5,
+                'hue_delta': 18,
+                'saturation_prob': 0.5,
+                'saturation_lower': 0.5,
+                'saturation_upper': 1.5,
+                'random_order_prob': 0.0,
+                },
+        'expand_param': {
+                'prob': 0.5,
+                'max_expand_ratio': 4.0,
+                },
+        'emit_constraint': {
+            'emit_type': caffe_pb2.EmitConstraint.CENTER,
+            }
+        }
+test_transform_param = {
+        'mean_value': [104, 117, 123],
+        'resize_param': {
+                'prob': 1,
+                'resize_mode': P.Resize.WARP,
+                'height': resize_height,
+                'width': resize_width,
+                'interp_mode': [P.Resize.LINEAR],
+                },
+        }
+
+# If true, use batch norm for all newly added layers.
+# Currently only the non batch norm version has been tested.
+use_batchnorm = False
+lr_mult = 1
+# Use different initial learning rate.
+if use_batchnorm:
+    base_lr = 0.0004
+else:
+    # A learning rate for batch_size = 1, num_gpus = 1.
+    base_lr = 0.00004
+
+# Modify the job name if you want.
+job_name = "SSD_{}".format(resize)
+# The name of the model. Modify it if you want.
+model_name = "VGG_VOC0712_{}".format(job_name)
+
+# Directory which stores the model .prototxt file.
+save_dir = "models/VGGNet/VOC0712/{}".format(job_name)
+# Directory which stores the snapshot of models.
+snapshot_dir = "models/VGGNet/VOC0712/{}".format(job_name)
+# Directory which stores the job script and log file.
+job_dir = "jobs/VGGNet/VOC0712/{}".format(job_name)
+# Directory which stores the detection results.
+output_result_dir = "{}/data/VOCdevkit/results/VOC2007/{}/Main".format(os.environ['HOME'], job_name)
+
+# model definition files.
+train_net_file = "{}/train.prototxt".format(save_dir)
+test_net_file = "{}/test.prototxt".format(save_dir)
+deploy_net_file = "{}/deploy.prototxt".format(save_dir)
+solver_file = "{}/solver.prototxt".format(save_dir)
+# snapshot prefix.
+snapshot_prefix = "{}/{}".format(snapshot_dir, model_name)
+# job script path.
+job_file = "{}/{}.sh".format(job_dir, model_name)
+
+# Stores the test image names and sizes. Created by data/VOC0712/create_list.sh
+name_size_file = "data/VOC0712/test_name_size.txt"
+# The pretrained model. We use the Fully convolutional reduced (atrous) VGGNet.
+pretrain_model = "models/VGGNet/VGG_ILSVRC_16_layers_fc_reduced.caffemodel"
+# Stores LabelMapItem.
+label_map_file = "data/VOC0712/labelmap_voc.prototxt"
+
+# MultiBoxLoss parameters.
+num_classes = 21
+share_location = True
+background_label_id=0
+train_on_diff_gt = True
+normalization_mode = P.Loss.VALID
+code_type = P.PriorBox.CENTER_SIZE
+ignore_cross_boundary_bbox = False
+mining_type = P.MultiBoxLoss.MAX_NEGATIVE
+neg_pos_ratio = 3.
+loc_weight = (neg_pos_ratio + 1.) / 4.
+multibox_loss_param = {
+    'loc_loss_type': P.MultiBoxLoss.SMOOTH_L1,
+    'conf_loss_type': P.MultiBoxLoss.SOFTMAX,
+    'loc_weight': loc_weight,
+    'num_classes': num_classes,
+    'share_location': share_location,
+    'match_type': P.MultiBoxLoss.PER_PREDICTION,
+    'overlap_threshold': 0.5,
+    'use_prior_for_matching': True,
+    'background_label_id': background_label_id,
+    'use_difficult_gt': train_on_diff_gt,
+    'mining_type': mining_type,
+    'neg_pos_ratio': neg_pos_ratio,
+    'neg_overlap': 0.5,
+    'code_type': code_type,
+    'ignore_cross_boundary_bbox': ignore_cross_boundary_bbox,
+    }
+loss_param = {
+    'normalization': normalization_mode,
+    }
+
+# parameters for generating priors.
+# minimum dimension of input image
+min_dim = 300
+# conv4_3 ==> 38 x 38
+# fc7 ==> 19 x 19
+# conv6_2 ==> 10 x 10
+# conv7_2 ==> 5 x 5
+# conv8_2 ==> 3 x 3
+# conv9_2 ==> 1 x 1
+mbox_source_layers = ['conv4_3', 'fc7', 'conv6_2', 'conv7_2', 'conv8_2', 'conv9_2']
+# in percent %
+min_ratio = 20
+max_ratio = 90
+step = int(math.floor((max_ratio - min_ratio) / (len(mbox_source_layers) - 2)))
+min_sizes = []
+max_sizes = []
+for ratio in xrange(min_ratio, max_ratio + 1, step):
+  min_sizes.append(min_dim * ratio / 100.)
+  max_sizes.append(min_dim * (ratio + step) / 100.)
+min_sizes = [min_dim * 10 / 100.] + min_sizes
+max_sizes = [min_dim * 20 / 100.] + max_sizes
+steps = [8, 16, 32, 64, 100, 300]
+aspect_ratios = [[2], [2, 3], [2, 3], [2, 3], [2], [2]]
+# L2 normalize conv4_3.
+normalizations = [20, -1, -1, -1, -1, -1]
+# variance used to encode/decode prior bboxes.
+if code_type == P.PriorBox.CENTER_SIZE:
+  prior_variance = [0.1, 0.1, 0.2, 0.2]
+else:
+  prior_variance = [0.1]
+flip = True
+clip = False
+
+# Solver parameters.
+# Defining which GPUs to use.
+gpus = "0,1,2,3"
+gpulist = gpus.split(",")
+num_gpus = len(gpulist)
+
+# Divide the mini-batch to different GPUs.
+batch_size = 32
+accum_batch_size = 32
+iter_size = accum_batch_size / batch_size
+solver_mode = P.Solver.CPU
+device_id = 0
+batch_size_per_device = batch_size
+if num_gpus > 0:
+  batch_size_per_device = int(math.ceil(float(batch_size) / num_gpus))
+  iter_size = int(math.ceil(float(accum_batch_size) / (batch_size_per_device * num_gpus)))
+  solver_mode = P.Solver.GPU
+  device_id = int(gpulist[0])
+
+if normalization_mode == P.Loss.NONE:
+  base_lr /= batch_size_per_device
+elif normalization_mode == P.Loss.VALID:
+  base_lr *= 25. / loc_weight
+elif normalization_mode == P.Loss.FULL:
+  # Roughly there are 2000 prior bboxes per image.
+  # TODO(weiliu89): Estimate the exact # of priors.
+  base_lr *= 2000.
+
+# Evaluate on whole test set.
+num_test_image = 4952
+test_batch_size = 8
+# Ideally test_batch_size should be divisible by num_test_image,
+# otherwise mAP will be slightly off the true value.
+test_iter = int(math.ceil(float(num_test_image) / test_batch_size))
+
+solver_param = {
+    # Train parameters
+    'base_lr': base_lr,
+    'weight_decay': 0.0005,
+    'lr_policy': "multistep",
+    'stepvalue': [80000, 100000, 120000],
+    'gamma': 0.1,
+    'momentum': 0.9,
+    'iter_size': iter_size,
+    'max_iter': 120000,
+    'snapshot': 80000,
+    'display': 10,
+    'average_loss': 10,
+    'type': "SGD",
+    'solver_mode': solver_mode,
+    'device_id': device_id,
+    'debug_info': False,
+    'snapshot_after_train': True,
+    # Test parameters
+    'test_iter': [test_iter],
+    'test_interval': 10000,
+    'eval_type': "detection",
+    'ap_version': "11point",
+    'test_initialization': False,
+    }
+
+# parameters for generating detection output.
+det_out_param = {
+    'num_classes': num_classes,
+    'share_location': share_location,
+    'background_label_id': background_label_id,
+    'nms_param': {'nms_threshold': 0.45, 'top_k': 400},
+    'save_output_param': {
+        'output_directory': output_result_dir,
+        'output_name_prefix': "comp4_det_test_",
+        'output_format': "VOC",
+        'label_map_file': label_map_file,
+        'name_size_file': name_size_file,
+        'num_test_image': num_test_image,
+        },
+    'keep_top_k': 200,
+    'confidence_threshold': 0.01,
+    'code_type': code_type,
+    }
+
+# parameters for evaluating detection results.
+det_eval_param = {
+    'num_classes': num_classes,
+    'background_label_id': background_label_id,
+    'overlap_threshold': 0.5,
+    'evaluate_difficult_gt': False,
+    'name_size_file': name_size_file,
+    }
+
+### Hopefully you don't need to change the following ###
+# Check file.
+check_if_exist(train_data)
+check_if_exist(test_data)
+check_if_exist(label_map_file)
+check_if_exist(pretrain_model)
+make_if_not_exist(save_dir)
+make_if_not_exist(job_dir)
+make_if_not_exist(snapshot_dir)
+
+# Create train net.
+net = caffe.NetSpec()
+net.data, net.label = CreateAnnotatedDataLayer(train_data, batch_size=batch_size_per_device,
+        train=True, output_label=True, label_map_file=label_map_file,
+        transform_param=train_transform_param, batch_sampler=batch_sampler)
+
+VGGNetBody(net, from_layer='data', fully_conv=True, reduced=True, dilated=True,
+    dropout=False)
+
+AddExtraLayers(net, use_batchnorm, lr_mult=lr_mult)
+
+mbox_layers = CreateMultiBoxHead(net, data_layer='data', from_layers=mbox_source_layers,
+        use_batchnorm=use_batchnorm, min_sizes=min_sizes, max_sizes=max_sizes,
+        aspect_ratios=aspect_ratios, steps=steps, normalizations=normalizations,
+        num_classes=num_classes, share_location=share_location, flip=flip, clip=clip,
+        prior_variance=prior_variance, kernel_size=3, pad=1, lr_mult=lr_mult)
+
+# Create the MultiBoxLossLayer.
+name = "mbox_loss"
+mbox_layers.append(net.label)
+net[name] = L.MultiBoxLoss(*mbox_layers, multibox_loss_param=multibox_loss_param,
+        loss_param=loss_param, include=dict(phase=caffe_pb2.Phase.Value('TRAIN')),
+        propagate_down=[True, True, False, False])
+
+with open(train_net_file, 'w') as f:
+    print('name: "{}_train"'.format(model_name), file=f)
+    print(net.to_proto(), file=f)
+shutil.copy(train_net_file, job_dir)
+
+# Create test net.
+net = caffe.NetSpec()
+net.data, net.label = CreateAnnotatedDataLayer(test_data, batch_size=test_batch_size,
+        train=False, output_label=True, label_map_file=label_map_file,
+        transform_param=test_transform_param)
+
+VGGNetBody(net, from_layer='data', fully_conv=True, reduced=True, dilated=True,
+    dropout=False)
+
+AddExtraLayers(net, use_batchnorm, lr_mult=lr_mult)
+
+mbox_layers = CreateMultiBoxHead(net, data_layer='data', from_layers=mbox_source_layers,
+        use_batchnorm=use_batchnorm, min_sizes=min_sizes, max_sizes=max_sizes,
+        aspect_ratios=aspect_ratios, steps=steps, normalizations=normalizations,
+        num_classes=num_classes, share_location=share_location, flip=flip, clip=clip,
+        prior_variance=prior_variance, kernel_size=3, pad=1, lr_mult=lr_mult)
+
+conf_name = "mbox_conf"
+if multibox_loss_param["conf_loss_type"] == P.MultiBoxLoss.SOFTMAX:
+  reshape_name = "{}_reshape".format(conf_name)
+  net[reshape_name] = L.Reshape(net[conf_name], shape=dict(dim=[0, -1, num_classes]))
+  softmax_name = "{}_softmax".format(conf_name)
+  net[softmax_name] = L.Softmax(net[reshape_name], axis=2)
+  flatten_name = "{}_flatten".format(conf_name)
+  net[flatten_name] = L.Flatten(net[softmax_name], axis=1)
+  mbox_layers[1] = net[flatten_name]
+elif multibox_loss_param["conf_loss_type"] == P.MultiBoxLoss.LOGISTIC:
+  sigmoid_name = "{}_sigmoid".format(conf_name)
+  net[sigmoid_name] = L.Sigmoid(net[conf_name])
+  mbox_layers[1] = net[sigmoid_name]
+
+net.detection_out = L.DetectionOutput(*mbox_layers,
+    detection_output_param=det_out_param,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+net.detection_eval = L.DetectionEvaluate(net.detection_out, net.label,
+    detection_evaluate_param=det_eval_param,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+
+with open(test_net_file, 'w') as f:
+    print('name: "{}_test"'.format(model_name), file=f)
+    print(net.to_proto(), file=f)
+shutil.copy(test_net_file, job_dir)
+
+# Create deploy net.
+# Remove the first and last layer from test net.
+deploy_net = net
+with open(deploy_net_file, 'w') as f:
+    net_param = deploy_net.to_proto()
+    # Remove the first (AnnotatedData) and last (DetectionEvaluate) layer from test net.
+    del net_param.layer[0]
+    del net_param.layer[-1]
+    net_param.name = '{}_deploy'.format(model_name)
+    net_param.input.extend(['data'])
+    net_param.input_shape.extend([
+        caffe_pb2.BlobShape(dim=[1, 3, resize_height, resize_width])])
+    print(net_param, file=f)
+shutil.copy(deploy_net_file, job_dir)
+
+# Create solver.
+solver = caffe_pb2.SolverParameter(
+        train_net=train_net_file,
+        test_net=[test_net_file],
+        snapshot_prefix=snapshot_prefix,
+        **solver_param)
+
+with open(solver_file, 'w') as f:
+    print(solver, file=f)
+shutil.copy(solver_file, job_dir)
+
+max_iter = 0
+# Find most recent snapshot.
+for file in os.listdir(snapshot_dir):
+  if file.endswith(".solverstate"):
+    basename = os.path.splitext(file)[0]
+    iter = int(basename.split("{}_iter_".format(model_name))[1])
+    if iter > max_iter:
+      max_iter = iter
+
+train_src_param = '--weights="{}" \\\n'.format(pretrain_model)
+if resume_training:
+  if max_iter > 0:
+    train_src_param = '--snapshot="{}_iter_{}.solverstate" \\\n'.format(snapshot_prefix, max_iter)
+
+if remove_old_models:
+  # Remove any snapshots smaller than max_iter.
+  for file in os.listdir(snapshot_dir):
+    if file.endswith(".solverstate"):
+      basename = os.path.splitext(file)[0]
+      iter = int(basename.split("{}_iter_".format(model_name))[1])
+      if max_iter > iter:
+        os.remove("{}/{}".format(snapshot_dir, file))
+    if file.endswith(".caffemodel"):
+      basename = os.path.splitext(file)[0]
+      iter = int(basename.split("{}_iter_".format(model_name))[1])
+      if max_iter > iter:
+        os.remove("{}/{}".format(snapshot_dir, file))
+
+# Create job file.
+with open(job_file, 'w') as f:
+  f.write('cd {}\n'.format(caffe_root))
+  f.write('./build/tools/caffe train \\\n')
+  f.write('--solver="{}" \\\n'.format(solver_file))
+  f.write(train_src_param)
+  if solver_param['solver_mode'] == P.Solver.GPU:
+    f.write('--gpu {} 2>&1 | tee {}/{}.log\n'.format(gpus, job_dir, model_name))
+  else:
+    f.write('2>&1 | tee {}/{}.log\n'.format(job_dir, model_name))
+
+# Copy the python script to job_dir.
+py_file = os.path.abspath(__file__)
+shutil.copy(py_file, job_dir)
+
+# Run the job.
+os.chmod(job_file, stat.S_IRWXU)
+if run_soon:
+  subprocess.call(job_file, shell=True)
diff --git a/examples/ssd/ssd_pascal_orig.py b/examples/ssd/ssd_pascal_orig.py
new file mode 100644
index 00000000000..a927d4490e8
--- /dev/null
+++ b/examples/ssd/ssd_pascal_orig.py
@@ -0,0 +1,582 @@
+from __future__ import print_function
+import caffe
+from google.protobuf import text_format
+
+import math
+import os
+import shutil
+import stat
+import subprocess
+import sys
+
+sys.path.insert(0, 'examples/ssd')
+from model_libs import *
+
+# Add extra layers on top of a "base" network (e.g. VGGNet or Inception).
+def AddExtraLayers(net, use_batchnorm=True, lr_mult=1):
+    use_relu = True
+
+    # Add additional convolutional layers.
+    # 19 x 19
+    from_layer = net.keys()[-1]
+
+    # TODO(weiliu89): Construct the name using the last layer to avoid duplication.
+    # 10 x 10
+    out_layer = "conv6_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 1, 0, 1,
+        lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv6_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 512, 3, 1, 2,
+        lr_mult=lr_mult)
+
+    # 5 x 5
+    from_layer = out_layer
+    out_layer = "conv7_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv7_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 1, 2,
+      lr_mult=lr_mult)
+
+    # 3 x 3
+    from_layer = out_layer
+    out_layer = "conv8_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv8_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 0, 1,
+      lr_mult=lr_mult)
+
+    # 1 x 1
+    from_layer = out_layer
+    out_layer = "conv9_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv9_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 0, 1,
+      lr_mult=lr_mult)
+
+    return net
+
+
+### Modify the following parameters accordingly ###
+# The directory which contains the caffe code.
+# We assume you are running the script at the CAFFE_ROOT.
+caffe_root = os.getcwd()
+
+# Set true if you want to start training right after generating all files.
+run_soon = True
+# Set true if you want to load from most recently saved snapshot.
+# Otherwise, we will load from the pretrain_model defined below.
+resume_training = True
+# If true, Remove old model files.
+remove_old_models = False
+
+# The database file for training data. Created by data/VOC0712/create_data.sh
+train_data = "examples/VOC0712/VOC0712_trainval_lmdb"
+# The database file for testing data. Created by data/VOC0712/create_data.sh
+test_data = "examples/VOC0712/VOC0712_test_lmdb"
+# Specify the batch sampler.
+resize_width = 300
+resize_height = 300
+resize = "{}x{}".format(resize_width, resize_height)
+batch_sampler = [
+        {
+                'sampler': {
+                        },
+                'max_trials': 1,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.1,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.3,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.5,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.7,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.9,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'max_jaccard_overlap': 1.0,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        ]
+train_transform_param = {
+        'mirror': True,
+        'mean_value': [104, 117, 123],
+        'resize_param': {
+                'prob': 1,
+                'resize_mode': P.Resize.FIT_SMALL_SIZE,
+                'height': resize_height,
+                'width': resize_width,
+                'height_scale': resize_height,
+                'width_scale': resize_width,
+                'interp_mode': [
+                        P.Resize.LINEAR,
+                        P.Resize.AREA,
+                        P.Resize.NEAREST,
+                        P.Resize.CUBIC,
+                        P.Resize.LANCZOS4,
+                        ],
+                },
+        'distort_param': {
+                'brightness_prob': 0.5,
+                'brightness_delta': 32,
+                'contrast_prob': 0.5,
+                'contrast_lower': 0.5,
+                'contrast_upper': 1.5,
+                'hue_prob': 0.5,
+                'hue_delta': 18,
+                'saturation_prob': 0.5,
+                'saturation_lower': 0.5,
+                'saturation_upper': 1.5,
+                'random_order_prob': 0.0,
+                },
+        'expand_param': {
+                'prob': 0.5,
+                'max_expand_ratio': 4.0,
+                },
+        'emit_constraint': {
+            'emit_type': caffe_pb2.EmitConstraint.CENTER,
+            }
+        }
+resize_param = {
+        'prob': 1,
+        'resize_mode': P.Resize.FIT_SMALL_SIZE,
+        'height': resize_height,
+        'width': resize_width,
+        'height_scale': resize_height,
+        'width_scale': resize_height,
+        'interp_mode': [P.Resize.LINEAR],
+        }
+test_transform_param = {
+        'mean_value': [104, 117, 123],
+        'resize_param': resize_param,
+        }
+
+# If true, use batch norm for all newly added layers.
+# Currently only the non batch norm version has been tested.
+use_batchnorm = False
+lr_mult = 1
+# Use different initial learning rate.
+if use_batchnorm:
+    base_lr = 0.0004
+else:
+    # A learning rate for batch_size = 1, num_gpus = 1.
+    base_lr = 0.00004
+
+# Modify the job name if you want.
+job_name = "SSD_{}_orig".format(resize)
+# The name of the model. Modify it if you want.
+model_name = "VGG_VOC0712_{}".format(job_name)
+
+# Directory which stores the model .prototxt file.
+save_dir = "models/VGGNet/VOC0712/{}".format(job_name)
+# Directory which stores the snapshot of models.
+snapshot_dir = "models/VGGNet/VOC0712/{}".format(job_name)
+# Directory which stores the job script and log file.
+job_dir = "jobs/VGGNet/VOC0712/{}".format(job_name)
+# Directory which stores the detection results.
+output_result_dir = "{}/data/VOCdevkit/results/VOC2007/{}/Main".format(os.environ['HOME'], job_name)
+
+# model definition files.
+train_net_file = "{}/train.prototxt".format(save_dir)
+test_net_file = "{}/test.prototxt".format(save_dir)
+deploy_net_file = "{}/deploy.prototxt".format(save_dir)
+solver_file = "{}/solver.prototxt".format(save_dir)
+# snapshot prefix.
+snapshot_prefix = "{}/{}".format(snapshot_dir, model_name)
+# job script path.
+job_file = "{}/{}.sh".format(job_dir, model_name)
+
+# Stores the test image names and sizes. Created by data/VOC0712/create_list.sh
+name_size_file = "data/VOC0712/test_name_size.txt"
+# The pretrained model. We use the Fully convolutional reduced (atrous) VGGNet.
+pretrain_model = "models/VGGNet/VGG_ILSVRC_16_layers_fc_reduced.caffemodel"
+# Stores LabelMapItem.
+label_map_file = "data/VOC0712/labelmap_voc.prototxt"
+
+# MultiBoxLoss parameters.
+num_classes = 21
+share_location = True
+background_label_id=0
+train_on_diff_gt = True
+normalization_mode = P.Loss.VALID
+code_type = P.PriorBox.CENTER_SIZE
+ignore_cross_boundary_bbox = False
+mining_type = P.MultiBoxLoss.MAX_NEGATIVE
+neg_pos_ratio = 3.
+loc_weight = (neg_pos_ratio + 1.) / 4.
+multibox_loss_param = {
+    'loc_loss_type': P.MultiBoxLoss.SMOOTH_L1,
+    'conf_loss_type': P.MultiBoxLoss.SOFTMAX,
+    'loc_weight': loc_weight,
+    'num_classes': num_classes,
+    'share_location': share_location,
+    'match_type': P.MultiBoxLoss.PER_PREDICTION,
+    'overlap_threshold': 0.5,
+    'use_prior_for_matching': True,
+    'background_label_id': background_label_id,
+    'use_difficult_gt': train_on_diff_gt,
+    'mining_type': mining_type,
+    'neg_pos_ratio': neg_pos_ratio,
+    'neg_overlap': 0.5,
+    'code_type': code_type,
+    'ignore_cross_boundary_bbox': ignore_cross_boundary_bbox,
+    }
+loss_param = {
+    'normalization': normalization_mode,
+    }
+
+# parameters for generating priors.
+# minimum dimension of input image
+min_dim = 300
+# conv4_3 ==> 38 x 38
+# fc7 ==> 19 x 19
+# conv6_2 ==> 10 x 10
+# conv7_2 ==> 5 x 5
+# conv8_2 ==> 3 x 3
+# conv9_2 ==> 1 x 1
+mbox_source_layers = ['conv4_3', 'fc7', 'conv6_2', 'conv7_2', 'conv8_2', 'conv9_2']
+# in percent %
+min_ratio = 20
+max_ratio = 90
+step = int(math.floor((max_ratio - min_ratio) / (len(mbox_source_layers) - 2)))
+min_sizes = []
+max_sizes = []
+for ratio in xrange(min_ratio, max_ratio + 1, step):
+  min_sizes.append(min_dim * ratio / 100.)
+  max_sizes.append(min_dim * (ratio + step) / 100.)
+min_sizes = [min_dim * 10 / 100.] + min_sizes
+max_sizes = [min_dim * 20 / 100.] + max_sizes
+steps = [8, 16, 32, 64, 100, 300]
+aspect_ratios = [[2], [2, 3], [2, 3], [2, 3], [2], [2]]
+# L2 normalize conv4_3.
+normalizations = [20, -1, -1, -1, -1, -1]
+# variance used to encode/decode prior bboxes.
+if code_type == P.PriorBox.CENTER_SIZE:
+  prior_variance = [0.1, 0.1, 0.2, 0.2]
+else:
+  prior_variance = [0.1]
+flip = True
+clip = False
+
+# Solver parameters.
+# Defining which GPUs to use.
+gpus = "0,1,2,3"
+gpulist = gpus.split(",")
+num_gpus = len(gpulist)
+
+# Divide the mini-batch to different GPUs.
+batch_size = num_gpus
+accum_batch_size = 32
+iter_size = accum_batch_size / batch_size
+solver_mode = P.Solver.CPU
+device_id = 0
+batch_size_per_device = batch_size
+if num_gpus > 0:
+  batch_size_per_device = int(math.ceil(float(batch_size) / num_gpus))
+  iter_size = int(math.ceil(float(accum_batch_size) / (batch_size_per_device * num_gpus)))
+  solver_mode = P.Solver.GPU
+  device_id = int(gpulist[0])
+
+if normalization_mode == P.Loss.NONE:
+  base_lr /= batch_size_per_device
+elif normalization_mode == P.Loss.VALID:
+  base_lr *= 25. / loc_weight
+elif normalization_mode == P.Loss.FULL:
+  # Roughly there are 2000 prior bboxes per image.
+  # TODO(weiliu89): Estimate the exact # of priors.
+  base_lr *= 2000.
+
+# Evaluate on whole test set.
+num_test_image = 4952
+test_batch_size = 1
+test_iter = num_test_image / test_batch_size
+
+solver_param = {
+    # Train parameters
+    'base_lr': base_lr,
+    'weight_decay': 0.0005,
+    'lr_policy': "multistep",
+    'stepvalue': [80000, 100000, 120000],
+    'gamma': 0.1,
+    'momentum': 0.9,
+    'iter_size': iter_size,
+    'max_iter': 120000,
+    'snapshot': 80000,
+    'display': 10,
+    'average_loss': 10,
+    'type': "SGD",
+    'solver_mode': solver_mode,
+    'device_id': device_id,
+    'debug_info': False,
+    'snapshot_after_train': True,
+    # Test parameters
+    'test_iter': [test_iter],
+    'test_interval': 10000,
+    'eval_type': "detection",
+    'ap_version': "11point",
+    'test_initialization': False,
+    }
+
+# parameters for generating detection output.
+det_out_param = {
+    'num_classes': num_classes,
+    'share_location': share_location,
+    'background_label_id': background_label_id,
+    'nms_param': {'nms_threshold': 0.45, 'top_k': 400},
+    'save_output_param': {
+        'output_directory': output_result_dir,
+        'output_name_prefix': "comp4_det_test_",
+        'output_format': "VOC",
+        'label_map_file': label_map_file,
+        'name_size_file': name_size_file,
+        'num_test_image': num_test_image,
+        'resize_param': resize_param,
+        },
+    'keep_top_k': 200,
+    'confidence_threshold': 0.01,
+    'code_type': code_type,
+    }
+
+# parameters for evaluating detection results.
+det_eval_param = {
+    'num_classes': num_classes,
+    'background_label_id': background_label_id,
+    'overlap_threshold': 0.5,
+    'evaluate_difficult_gt': False,
+    'name_size_file': name_size_file,
+    'resize_param': resize_param,
+    }
+
+### Hopefully you don't need to change the following ###
+# Check file.
+check_if_exist(train_data)
+check_if_exist(test_data)
+check_if_exist(label_map_file)
+check_if_exist(pretrain_model)
+make_if_not_exist(save_dir)
+make_if_not_exist(job_dir)
+make_if_not_exist(snapshot_dir)
+
+# Create train net.
+net = caffe.NetSpec()
+net.data, net.label = CreateAnnotatedDataLayer(train_data, batch_size=batch_size_per_device,
+        train=True, output_label=True, label_map_file=label_map_file,
+        transform_param=train_transform_param, batch_sampler=batch_sampler)
+
+VGGNetBody(net, from_layer='data', fully_conv=True, reduced=True, dilated=True,
+    dropout=False)
+
+AddExtraLayers(net, use_batchnorm, lr_mult=lr_mult)
+
+mbox_layers = CreateMultiBoxHead(net, data_layer='data', from_layers=mbox_source_layers,
+        use_batchnorm=use_batchnorm, min_sizes=min_sizes, max_sizes=max_sizes,
+        aspect_ratios=aspect_ratios, steps=steps, img_height=resize_height,
+        img_width=resize_width, normalizations=normalizations,
+        num_classes=num_classes, share_location=share_location, flip=flip, clip=clip,
+        prior_variance=prior_variance, kernel_size=3, pad=1, lr_mult=lr_mult)
+
+# Create the MultiBoxLossLayer.
+name = "mbox_loss"
+mbox_layers.append(net.label)
+net[name] = L.MultiBoxLoss(*mbox_layers, multibox_loss_param=multibox_loss_param,
+        loss_param=loss_param, include=dict(phase=caffe_pb2.Phase.Value('TRAIN')),
+        propagate_down=[True, True, False, False])
+
+with open(train_net_file, 'w') as f:
+    print('name: "{}_train"'.format(model_name), file=f)
+    print(net.to_proto(), file=f)
+shutil.copy(train_net_file, job_dir)
+
+# Create test net.
+net = caffe.NetSpec()
+net.data, net.label = CreateAnnotatedDataLayer(test_data, batch_size=test_batch_size,
+        train=False, output_label=True, label_map_file=label_map_file,
+        transform_param=test_transform_param)
+
+VGGNetBody(net, from_layer='data', fully_conv=True, reduced=True, dilated=True,
+    dropout=False)
+
+AddExtraLayers(net, use_batchnorm, lr_mult=lr_mult)
+
+mbox_layers = CreateMultiBoxHead(net, data_layer='data', from_layers=mbox_source_layers,
+        use_batchnorm=use_batchnorm, min_sizes=min_sizes, max_sizes=max_sizes,
+        aspect_ratios=aspect_ratios, steps=steps, img_height=resize_height,
+        img_width=resize_width, normalizations=normalizations,
+        num_classes=num_classes, share_location=share_location, flip=flip, clip=clip,
+        prior_variance=prior_variance, kernel_size=3, pad=1, lr_mult=lr_mult)
+
+conf_name = "mbox_conf"
+if multibox_loss_param["conf_loss_type"] == P.MultiBoxLoss.SOFTMAX:
+  reshape_name = "{}_reshape".format(conf_name)
+  net[reshape_name] = L.Reshape(net[conf_name], shape=dict(dim=[0, -1, num_classes]))
+  softmax_name = "{}_softmax".format(conf_name)
+  net[softmax_name] = L.Softmax(net[reshape_name], axis=2)
+  flatten_name = "{}_flatten".format(conf_name)
+  net[flatten_name] = L.Flatten(net[softmax_name], axis=1)
+  mbox_layers[1] = net[flatten_name]
+elif multibox_loss_param["conf_loss_type"] == P.MultiBoxLoss.LOGISTIC:
+  sigmoid_name = "{}_sigmoid".format(conf_name)
+  net[sigmoid_name] = L.Sigmoid(net[conf_name])
+  mbox_layers[1] = net[sigmoid_name]
+
+net.detection_out = L.DetectionOutput(*mbox_layers,
+    detection_output_param=det_out_param,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+net.detection_eval = L.DetectionEvaluate(net.detection_out, net.label,
+    detection_evaluate_param=det_eval_param,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+
+with open(test_net_file, 'w') as f:
+    print('name: "{}_test"'.format(model_name), file=f)
+    print(net.to_proto(), file=f)
+shutil.copy(test_net_file, job_dir)
+
+# Create deploy net.
+# Remove the first and last layer from test net.
+deploy_net = net
+with open(deploy_net_file, 'w') as f:
+    net_param = deploy_net.to_proto()
+    # Remove the first (AnnotatedData) and last (DetectionEvaluate) layer from test net.
+    del net_param.layer[0]
+    del net_param.layer[-1]
+    net_param.name = '{}_deploy'.format(model_name)
+    net_param.input.extend(['data'])
+    net_param.input_shape.extend([
+        caffe_pb2.BlobShape(dim=[1, 3, resize_height, resize_width])])
+    print(net_param, file=f)
+shutil.copy(deploy_net_file, job_dir)
+
+# Create solver.
+solver = caffe_pb2.SolverParameter(
+        train_net=train_net_file,
+        test_net=[test_net_file],
+        snapshot_prefix=snapshot_prefix,
+        **solver_param)
+
+with open(solver_file, 'w') as f:
+    print(solver, file=f)
+shutil.copy(solver_file, job_dir)
+
+max_iter = 0
+# Find most recent snapshot.
+for file in os.listdir(snapshot_dir):
+  if file.endswith(".solverstate"):
+    basename = os.path.splitext(file)[0]
+    iter = int(basename.split("{}_iter_".format(model_name))[1])
+    if iter > max_iter:
+      max_iter = iter
+
+train_src_param = '--weights="{}" \\\n'.format(pretrain_model)
+if resume_training:
+  if max_iter > 0:
+    train_src_param = '--snapshot="{}_iter_{}.solverstate" \\\n'.format(snapshot_prefix, max_iter)
+
+if remove_old_models:
+  # Remove any snapshots smaller than max_iter.
+  for file in os.listdir(snapshot_dir):
+    if file.endswith(".solverstate"):
+      basename = os.path.splitext(file)[0]
+      iter = int(basename.split("{}_iter_".format(model_name))[1])
+      if max_iter > iter:
+        os.remove("{}/{}".format(snapshot_dir, file))
+    if file.endswith(".caffemodel"):
+      basename = os.path.splitext(file)[0]
+      iter = int(basename.split("{}_iter_".format(model_name))[1])
+      if max_iter > iter:
+        os.remove("{}/{}".format(snapshot_dir, file))
+
+# Create job file.
+with open(job_file, 'w') as f:
+  f.write('cd {}\n'.format(caffe_root))
+  f.write('./build/tools/caffe train \\\n')
+  f.write('--solver="{}" \\\n'.format(solver_file))
+  f.write(train_src_param)
+  if solver_param['solver_mode'] == P.Solver.GPU:
+    f.write('--gpu {} 2>&1 | tee {}/{}.log\n'.format(gpus, job_dir, model_name))
+  else:
+    f.write('2>&1 | tee {}/{}.log\n'.format(job_dir, model_name))
+
+# Copy the python script to job_dir.
+py_file = os.path.abspath(__file__)
+shutil.copy(py_file, job_dir)
+
+# Run the job.
+os.chmod(job_file, stat.S_IRWXU)
+if run_soon:
+  subprocess.call(job_file, shell=True)
diff --git a/examples/ssd/ssd_pascal_resnet.py b/examples/ssd/ssd_pascal_resnet.py
new file mode 100644
index 00000000000..c721be8b34a
--- /dev/null
+++ b/examples/ssd/ssd_pascal_resnet.py
@@ -0,0 +1,522 @@
+from __future__ import print_function
+import caffe
+from google.protobuf import text_format
+
+import math
+import os
+import shutil
+import stat
+import subprocess
+import sys
+
+sys.path.insert(0, 'examples/ssd')
+from model_libs import *
+
+# Add extra layers on top of a "base" network (e.g. VGGNet or Inception).
+def AddExtraLayers(net, use_batchnorm=True):
+    use_relu = True
+
+    # Add additional convolutional layers.
+    # 19 x 19
+    last_layer = net.keys()[-1]
+
+    # 10 x 10
+    from_layer = last_layer
+    out_layer = "{}/conv1_1".format(last_layer)
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 1, 0, 1)
+    from_layer = out_layer
+
+    out_layer = "{}/conv1_2".format(last_layer)
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 512, 3, 1, 2)
+    from_layer = out_layer
+
+    for i in xrange(2, 4):
+      out_layer = "{}/conv{}_1".format(last_layer, i)
+      ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 1, 0, 1)
+      from_layer = out_layer
+
+      out_layer = "{}/conv{}_2".format(last_layer, i)
+      ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 512, 3, 1, 2)
+      from_layer = out_layer
+
+    # Add global pooling layer.
+    name = net.keys()[-1]
+    net.pool6 = L.Pooling(net[name], pool=P.Pooling.AVE, global_pooling=True)
+
+    return net
+
+
+### Modify the following parameters accordingly ###
+# The directory which contains the caffe code.
+# We assume you are running the script at the CAFFE_ROOT.
+caffe_root = os.getcwd()
+
+# Set true if you want to start training right after generating all files.
+run_soon = True
+# Set true if you want to load from most recently saved snapshot.
+# Otherwise, we will load from the pretrain_model defined below.
+resume_training = True
+# If true, Remove old model files.
+remove_old_models = False
+
+# The database file for training data. Created by data/VOC0712/create_data.sh
+train_data = "examples/VOC0712/VOC0712_trainval_lmdb"
+# The database file for testing data. Created by data/VOC0712/create_data.sh
+test_data = "examples/VOC0712/VOC0712_test_lmdb"
+# Specify the batch sampler.
+resize_width = 300
+resize_height = 300
+resize = "{}x{}".format(resize_width, resize_height)
+batch_sampler = [
+        {
+                'sampler': {
+                        },
+                'max_trials': 1,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.1,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.3,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.5,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.7,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.9,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'max_jaccard_overlap': 1.0,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        ]
+train_transform_param = {
+        'mirror': True,
+        'mean_value': [104, 117, 123],
+        'resize_param': {
+                'prob': 1,
+                'resize_mode': P.Resize.WARP,
+                'height': resize_height,
+                'width': resize_width,
+                'interp_mode': [
+                        P.Resize.LINEAR,
+                        P.Resize.AREA,
+                        P.Resize.NEAREST,
+                        P.Resize.CUBIC,
+                        P.Resize.LANCZOS4,
+                        ],
+                },
+        'emit_constraint': {
+            'emit_type': caffe_pb2.EmitConstraint.CENTER,
+            }
+        }
+test_transform_param = {
+        'mean_value': [104, 117, 123],
+        'resize_param': {
+                'prob': 1,
+                'resize_mode': P.Resize.WARP,
+                'height': resize_height,
+                'width': resize_width,
+                'interp_mode': [P.Resize.LINEAR],
+                },
+        }
+
+# A learning rate for batch_size = 1, num_gpus = 1.
+base_lr = 0.00004
+
+# Modify the job name if you want.
+job_name = "SSD_{}".format(resize)
+# The name of the model. Modify it if you want.
+model_name = "ResNet_VOC0712_{}".format(job_name)
+
+# Directory which stores the model .prototxt file.
+save_dir = "models/ResNet/VOC0712/{}".format(job_name)
+# Directory which stores the snapshot of models.
+snapshot_dir = "models/ResNet/VOC0712/{}".format(job_name)
+# Directory which stores the job script and log file.
+job_dir = "jobs/ResNet/VOC0712/{}".format(job_name)
+# Directory which stores the detection results.
+output_result_dir = "{}/data/VOCdevkit/results/VOC2007/{}/Main".format(os.environ['HOME'], job_name)
+
+# model definition files.
+train_net_file = "{}/train.prototxt".format(save_dir)
+test_net_file = "{}/test.prototxt".format(save_dir)
+deploy_net_file = "{}/deploy.prototxt".format(save_dir)
+solver_file = "{}/solver.prototxt".format(save_dir)
+# snapshot prefix.
+snapshot_prefix = "{}/{}".format(snapshot_dir, model_name)
+# job script path.
+job_file = "{}/{}.sh".format(job_dir, model_name)
+
+# Stores the test image names and sizes. Created by data/VOC0712/create_list.sh
+name_size_file = "data/VOC0712/test_name_size.txt"
+# The pretrained ResNet101 model from https://github.com/KaimingHe/deep-residual-networks.
+pretrain_model = "models/ResNet/ResNet-101-model.caffemodel"
+# Stores LabelMapItem.
+label_map_file = "data/VOC0712/labelmap_voc.prototxt"
+
+# MultiBoxLoss parameters.
+num_classes = 21
+share_location = True
+background_label_id=0
+train_on_diff_gt = True
+normalization_mode = P.Loss.VALID
+code_type = P.PriorBox.CENTER_SIZE
+neg_pos_ratio = 3.
+loc_weight = (neg_pos_ratio + 1.) / 4.
+mining_type = P.MultiBoxLoss.MAX_NEGATIVE
+multibox_loss_param = {
+    'loc_loss_type': P.MultiBoxLoss.SMOOTH_L1,
+    'conf_loss_type': P.MultiBoxLoss.SOFTMAX,
+    'loc_weight': loc_weight,
+    'num_classes': num_classes,
+    'share_location': share_location,
+    'match_type': P.MultiBoxLoss.PER_PREDICTION,
+    'overlap_threshold': 0.5,
+    'use_prior_for_matching': True,
+    'background_label_id': background_label_id,
+    'use_difficult_gt': train_on_diff_gt,
+    'mining_type': mining_type,
+    'neg_pos_ratio': neg_pos_ratio,
+    'neg_overlap': 0.5,
+    'code_type': code_type,
+    }
+loss_param = {
+    'normalization': normalization_mode,
+    }
+
+# parameters for generating priors.
+# minimum dimension of input image
+min_dim = 300
+# res3b3_relu ==> 38 x 38
+# res5c_relu ==> 19 x 19
+# res5c_relu/conv1_2 ==> 10 x 10
+# res5c_relu/conv2_2 ==> 5 x 5
+# res5c_relu/conv3_2 ==> 3 x 3
+# pool6 ==> 1 x 1
+mbox_source_layers = ['res3b3_relu', 'res5c_relu', 'res5c_relu/conv1_2', 'res5c_relu/conv2_2', 'res5c_relu/conv3_2', 'pool6']
+# in percent %
+min_ratio = 20
+max_ratio = 95
+step = int(math.floor((max_ratio - min_ratio) / (len(mbox_source_layers) - 2)))
+min_sizes = []
+max_sizes = []
+for ratio in xrange(min_ratio, max_ratio + 1, step):
+  min_sizes.append(min_dim * ratio / 100.)
+  max_sizes.append(min_dim * (ratio + step) / 100.)
+min_sizes = [min_dim * 10 / 100.] + min_sizes
+max_sizes = [[]] + max_sizes
+aspect_ratios = [[2], [2, 3], [2, 3], [2, 3], [2, 3], [2, 3]]
+# variance used to encode/decode prior bboxes.
+if code_type == P.PriorBox.CENTER_SIZE:
+  prior_variance = [0.1, 0.1, 0.2, 0.2]
+else:
+  prior_variance = [0.1]
+flip = True
+clip = True
+
+# Solver parameters.
+# Defining which GPUs to use.
+gpus = "0,1,2,3"
+gpulist = gpus.split(",")
+num_gpus = len(gpulist)
+
+# Divide the mini-batch to different GPUs.
+batch_size = 32
+accum_batch_size = 32
+iter_size = accum_batch_size / batch_size
+solver_mode = P.Solver.CPU
+device_id = 0
+batch_size_per_device = batch_size
+if num_gpus > 0:
+  batch_size_per_device = int(math.ceil(float(batch_size) / num_gpus))
+  iter_size = int(math.ceil(float(accum_batch_size) / (batch_size_per_device * num_gpus)))
+  solver_mode = P.Solver.GPU
+  device_id = int(gpulist[0])
+
+if normalization_mode == P.Loss.NONE:
+  base_lr /= batch_size_per_device
+elif normalization_mode == P.Loss.VALID:
+  base_lr *= 25. / loc_weight
+elif normalization_mode == P.Loss.FULL:
+  # Roughly there are 2000 prior bboxes per image.
+  # TODO(weiliu89): Estimate the exact # of priors.
+  base_lr *= 2000.
+
+# Evaluate on whole test set.
+num_test_image = 4952
+test_batch_size = 1
+test_iter = num_test_image / test_batch_size
+
+solver_param = {
+    # Train parameters
+    'base_lr': base_lr,
+    'weight_decay': 0.0005,
+    'lr_policy': "step",
+    'stepsize': 40000,
+    'gamma': 0.1,
+    'momentum': 0.9,
+    'iter_size': iter_size,
+    'max_iter': 60000,
+    'snapshot': 40000,
+    'display': 10,
+    'average_loss': 10,
+    'type': "SGD",
+    'solver_mode': solver_mode,
+    'device_id': device_id,
+    'debug_info': False,
+    'snapshot_after_train': True,
+    # Test parameters
+    'test_iter': [test_iter],
+    'test_interval': 10000,
+    'eval_type': "detection",
+    'ap_version': "11point",
+    'test_initialization': False,
+    }
+
+# parameters for generating detection output.
+det_out_param = {
+    'num_classes': num_classes,
+    'share_location': share_location,
+    'background_label_id': background_label_id,
+    'nms_param': {'nms_threshold': 0.45, 'top_k': 400},
+    'save_output_param': {
+        'output_directory': output_result_dir,
+        'output_name_prefix': "comp4_det_test_",
+        'output_format': "VOC",
+        'label_map_file': label_map_file,
+        'name_size_file': name_size_file,
+        'num_test_image': num_test_image,
+        },
+    'keep_top_k': 200,
+    'confidence_threshold': 0.01,
+    'code_type': code_type,
+    }
+
+# parameters for evaluating detection results.
+det_eval_param = {
+    'num_classes': num_classes,
+    'background_label_id': background_label_id,
+    'overlap_threshold': 0.5,
+    'evaluate_difficult_gt': False,
+    'name_size_file': name_size_file,
+    }
+
+### Hopefully you don't need to change the following ###
+# Check file.
+check_if_exist(train_data)
+check_if_exist(test_data)
+check_if_exist(label_map_file)
+check_if_exist(pretrain_model)
+make_if_not_exist(save_dir)
+make_if_not_exist(job_dir)
+make_if_not_exist(snapshot_dir)
+
+# Create train net.
+net = caffe.NetSpec()
+net.data, net.label = CreateAnnotatedDataLayer(train_data, batch_size=batch_size_per_device,
+        train=True, output_label=True, label_map_file=label_map_file,
+        transform_param=train_transform_param, batch_sampler=batch_sampler)
+
+ResNet101Body(net, from_layer='data', use_pool5=False, use_dilation_conv5=True)
+
+# Use batch norm for the newly added layers.
+AddExtraLayers(net, use_batchnorm=True)
+
+# Don't use batch norm for location/confidence prediction layers.
+mbox_layers = CreateMultiBoxHead(net, data_layer='data', from_layers=mbox_source_layers,
+        use_batchnorm=False, min_sizes=min_sizes, max_sizes=max_sizes,
+        aspect_ratios=aspect_ratios, num_classes=num_classes, share_location=share_location,
+        flip=flip, clip=clip, prior_variance=prior_variance, kernel_size=3, pad=1)
+
+# Create the MultiBoxLossLayer.
+name = "mbox_loss"
+mbox_layers.append(net.label)
+net[name] = L.MultiBoxLoss(*mbox_layers, multibox_loss_param=multibox_loss_param,
+        loss_param=loss_param, include=dict(phase=caffe_pb2.Phase.Value('TRAIN')),
+        propagate_down=[True, True, False, False])
+
+with open(train_net_file, 'w') as f:
+    print('name: "{}_train"'.format(model_name), file=f)
+    print(net.to_proto(), file=f)
+shutil.copy(train_net_file, job_dir)
+
+# Create test net.
+net = caffe.NetSpec()
+net.data, net.label = CreateAnnotatedDataLayer(test_data, batch_size=test_batch_size,
+        train=False, output_label=True, label_map_file=label_map_file,
+        transform_param=test_transform_param)
+
+ResNet101Body(net, from_layer='data', use_pool5=False, use_dilation_conv5=True)
+
+# Use batch norm for the newly added layers.
+AddExtraLayers(net, use_batchnorm=True)
+
+# Don't use batch norm for location/confidence prediction layers.
+mbox_layers = CreateMultiBoxHead(net, data_layer='data', from_layers=mbox_source_layers,
+        use_batchnorm=False, min_sizes=min_sizes, max_sizes=max_sizes,
+        aspect_ratios=aspect_ratios, num_classes=num_classes, share_location=share_location,
+        flip=flip, clip=clip, prior_variance=prior_variance, kernel_size=3, pad=1)
+
+conf_name = "mbox_conf"
+if multibox_loss_param["conf_loss_type"] == P.MultiBoxLoss.SOFTMAX:
+  reshape_name = "{}_reshape".format(conf_name)
+  net[reshape_name] = L.Reshape(net[conf_name], shape=dict(dim=[0, -1, num_classes]))
+  softmax_name = "{}_softmax".format(conf_name)
+  net[softmax_name] = L.Softmax(net[reshape_name], axis=2)
+  flatten_name = "{}_flatten".format(conf_name)
+  net[flatten_name] = L.Flatten(net[softmax_name], axis=1)
+  mbox_layers[1] = net[flatten_name]
+elif multibox_loss_param["conf_loss_type"] == P.MultiBoxLoss.LOGISTIC:
+  sigmoid_name = "{}_sigmoid".format(conf_name)
+  net[sigmoid_name] = L.Sigmoid(net[conf_name])
+  mbox_layers[1] = net[sigmoid_name]
+
+net.detection_out = L.DetectionOutput(*mbox_layers,
+    detection_output_param=det_out_param,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+net.detection_eval = L.DetectionEvaluate(net.detection_out, net.label,
+    detection_evaluate_param=det_eval_param,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+
+with open(test_net_file, 'w') as f:
+    print('name: "{}_test"'.format(model_name), file=f)
+    print(net.to_proto(), file=f)
+shutil.copy(test_net_file, job_dir)
+
+# Create deploy net.
+# Remove the first and last layer from test net.
+deploy_net = net
+with open(deploy_net_file, 'w') as f:
+    net_param = deploy_net.to_proto()
+    # Remove the first (AnnotatedData) and last (DetectionEvaluate) layer from test net.
+    del net_param.layer[0]
+    del net_param.layer[-1]
+    net_param.name = '{}_deploy'.format(model_name)
+    net_param.input.extend(['data'])
+    net_param.input_shape.extend([
+        caffe_pb2.BlobShape(dim=[1, 3, resize_height, resize_width])])
+    print(net_param, file=f)
+shutil.copy(deploy_net_file, job_dir)
+
+# Create solver.
+solver = caffe_pb2.SolverParameter(
+        train_net=train_net_file,
+        test_net=[test_net_file],
+        snapshot_prefix=snapshot_prefix,
+        **solver_param)
+
+with open(solver_file, 'w') as f:
+    print(solver, file=f)
+shutil.copy(solver_file, job_dir)
+
+max_iter = 0
+# Find most recent snapshot.
+for file in os.listdir(snapshot_dir):
+  if file.endswith(".solverstate"):
+    basename = os.path.splitext(file)[0]
+    iter = int(basename.split("{}_iter_".format(model_name))[1])
+    if iter > max_iter:
+      max_iter = iter
+
+train_src_param = '--weights="{}" \\\n'.format(pretrain_model)
+if resume_training:
+  if max_iter > 0:
+    train_src_param = '--snapshot="{}_iter_{}.solverstate" \\\n'.format(snapshot_prefix, max_iter)
+
+if remove_old_models:
+  # Remove any snapshots smaller than max_iter.
+  for file in os.listdir(snapshot_dir):
+    if file.endswith(".solverstate"):
+      basename = os.path.splitext(file)[0]
+      iter = int(basename.split("{}_iter_".format(model_name))[1])
+      if max_iter > iter:
+        os.remove("{}/{}".format(snapshot_dir, file))
+    if file.endswith(".caffemodel"):
+      basename = os.path.splitext(file)[0]
+      iter = int(basename.split("{}_iter_".format(model_name))[1])
+      if max_iter > iter:
+        os.remove("{}/{}".format(snapshot_dir, file))
+
+# Create job file.
+with open(job_file, 'w') as f:
+  f.write('cd {}\n'.format(caffe_root))
+  f.write('./build/tools/caffe train \\\n')
+  f.write('--solver="{}" \\\n'.format(solver_file))
+  f.write(train_src_param)
+  if solver_param['solver_mode'] == P.Solver.GPU:
+    f.write('--gpu {} 2>&1 | tee {}/{}.log\n'.format(gpus, job_dir, model_name))
+  else:
+    f.write('2>&1 | tee {}/{}.log\n'.format(job_dir, model_name))
+
+# Copy the python script to job_dir.
+py_file = os.path.abspath(__file__)
+shutil.copy(py_file, job_dir)
+
+# Run the job.
+os.chmod(job_file, stat.S_IRWXU)
+if run_soon:
+  subprocess.call(job_file, shell=True)
diff --git a/examples/ssd/ssd_pascal_speed.py b/examples/ssd/ssd_pascal_speed.py
new file mode 100644
index 00000000000..fd766a62322
--- /dev/null
+++ b/examples/ssd/ssd_pascal_speed.py
@@ -0,0 +1,556 @@
+from __future__ import print_function
+import caffe
+from google.protobuf import text_format
+
+import math
+import os
+import shutil
+import stat
+import subprocess
+import sys
+
+sys.path.insert(0, 'examples/ssd')
+from model_libs import *
+
+# Add extra layers on top of a "base" network (e.g. VGGNet or Inception).
+def AddExtraLayers(net, use_batchnorm=True, lr_mult=1):
+    use_relu = True
+
+    # Add additional convolutional layers.
+    # 19 x 19
+    from_layer = net.keys()[-1]
+
+    # TODO(weiliu89): Construct the name using the last layer to avoid duplication.
+    # 10 x 10
+    out_layer = "conv6_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 1, 0, 1,
+        lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv6_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 512, 3, 1, 2,
+        lr_mult=lr_mult)
+
+    # 5 x 5
+    from_layer = out_layer
+    out_layer = "conv7_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv7_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 1, 2,
+      lr_mult=lr_mult)
+
+    # 3 x 3
+    from_layer = out_layer
+    out_layer = "conv8_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv8_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 0, 1,
+      lr_mult=lr_mult)
+
+    # 1 x 1
+    from_layer = out_layer
+    out_layer = "conv9_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv9_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 0, 1,
+      lr_mult=lr_mult)
+
+    return net
+
+
+### Modify the following parameters accordingly ###
+# Notice: we do evaluation by setting the solver parameters approximately.
+# The reason that we do not use ./build/tools/caffe test ... is because it
+# only supports testing for classification problem now.
+# The directory which contains the caffe code.
+# We assume you are running the script at the CAFFE_ROOT.
+caffe_root = os.getcwd()
+
+# Set true if you want to start training right after generating all files.
+run_soon = True
+
+# The database file for training data. Created by data/VOC0712/create_data.sh
+train_data = "examples/VOC0712/VOC0712_trainval_lmdb"
+# The database file for testing data. Created by data/VOC0712/create_data.sh
+test_data = "examples/VOC0712/VOC0712_test_lmdb"
+# Specify the batch sampler.
+resize_width = 300
+resize_height = 300
+resize = "{}x{}".format(resize_width, resize_height)
+batch_sampler = [
+        {
+                'sampler': {
+                        },
+                'max_trials': 1,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.1,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.3,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.5,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.7,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.9,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'max_jaccard_overlap': 1.0,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        ]
+train_transform_param = {
+        'mirror': True,
+        'mean_value': [104, 117, 123],
+        'resize_param': {
+                'prob': 1,
+                'resize_mode': P.Resize.WARP,
+                'height': resize_height,
+                'width': resize_width,
+                'interp_mode': [
+                        P.Resize.LINEAR,
+                        P.Resize.AREA,
+                        P.Resize.NEAREST,
+                        P.Resize.CUBIC,
+                        P.Resize.LANCZOS4,
+                        ],
+                },
+        'distort_param': {
+                'brightness_prob': 0.5,
+                'brightness_delta': 32,
+                'contrast_prob': 0.5,
+                'contrast_lower': 0.5,
+                'contrast_upper': 1.5,
+                'hue_prob': 0.5,
+                'hue_delta': 18,
+                'saturation_prob': 0.5,
+                'saturation_lower': 0.5,
+                'saturation_upper': 1.5,
+                'random_order_prob': 0.0,
+                },
+        'expand_param': {
+                'prob': 0.5,
+                'max_expand_ratio': 4.0,
+                },
+        'emit_constraint': {
+            'emit_type': caffe_pb2.EmitConstraint.CENTER,
+            }
+        }
+test_transform_param = {
+        'mean_value': [104, 117, 123],
+        'resize_param': {
+                'prob': 1,
+                'resize_mode': P.Resize.WARP,
+                'height': resize_height,
+                'width': resize_width,
+                'interp_mode': [P.Resize.LINEAR],
+                },
+        }
+
+# If true, use batch norm for all newly added layers.
+# Currently only the non batch norm version has been tested.
+use_batchnorm = False
+lr_mult = 1
+# Use different initial learning rate.
+if use_batchnorm:
+    base_lr = 0.0004
+else:
+    # A learning rate for batch_size = 1, num_gpus = 1.
+    base_lr = 0.00004
+
+# The job name should be same as the name used in examples/ssd/ssd_pascal.py.
+job_name = "SSD_{}".format(resize)
+# The name of the model. Modify it if you want.
+model_name = "VGG_VOC0712_{}".format(job_name)
+
+# Directory which stores the model .prototxt file.
+save_dir = "models/VGGNet/VOC0712/{}_speed".format(job_name)
+# Directory which stores the snapshot of trained models.
+snapshot_dir = "models/VGGNet/VOC0712/{}".format(job_name)
+# Directory which stores the job script and log file.
+job_dir = "jobs/VGGNet/VOC0712/{}_speed".format(job_name)
+# Directory which stores the detection results.
+output_result_dir = "{}/data/VOCdevkit/results/VOC2007/{}_speed/Main".format(os.environ['HOME'], job_name)
+
+# model definition files.
+train_net_file = "{}/train.prototxt".format(save_dir)
+test_net_file = "{}/test.prototxt".format(save_dir)
+deploy_net_file = "{}/deploy.prototxt".format(save_dir)
+solver_file = "{}/solver.prototxt".format(save_dir)
+# snapshot prefix.
+snapshot_prefix = "{}/{}".format(snapshot_dir, model_name)
+# job script path.
+job_file = "{}/{}.sh".format(job_dir, model_name)
+
+# Find most recent snapshot.
+max_iter = 0
+for file in os.listdir(snapshot_dir):
+  if file.endswith(".caffemodel"):
+    basename = os.path.splitext(file)[0]
+    iter = int(basename.split("{}_iter_".format(model_name))[1])
+    if iter > max_iter:
+      max_iter = iter
+
+if max_iter == 0:
+  print("Cannot find snapshot in {}".format(snapshot_dir))
+  sys.exit()
+
+# Stores the test image names and sizes. Created by data/VOC0712/create_list.sh
+name_size_file = "data/VOC0712/test_name_size.txt"
+# The resume model.
+pretrain_model = "{}_iter_{}.caffemodel".format(snapshot_prefix, max_iter)
+# Stores LabelMapItem.
+label_map_file = "data/VOC0712/labelmap_voc.prototxt"
+
+# MultiBoxLoss parameters.
+num_classes = 21
+share_location = True
+background_label_id=0
+train_on_diff_gt = True
+normalization_mode = P.Loss.VALID
+code_type = P.PriorBox.CENTER_SIZE
+ignore_cross_boundary_bbox = False
+mining_type = P.MultiBoxLoss.MAX_NEGATIVE
+neg_pos_ratio = 3.
+loc_weight = (neg_pos_ratio + 1.) / 4.
+multibox_loss_param = {
+    'loc_loss_type': P.MultiBoxLoss.SMOOTH_L1,
+    'conf_loss_type': P.MultiBoxLoss.SOFTMAX,
+    'loc_weight': loc_weight,
+    'num_classes': num_classes,
+    'share_location': share_location,
+    'match_type': P.MultiBoxLoss.PER_PREDICTION,
+    'overlap_threshold': 0.5,
+    'use_prior_for_matching': True,
+    'background_label_id': background_label_id,
+    'use_difficult_gt': train_on_diff_gt,
+    'mining_type': mining_type,
+    'neg_pos_ratio': neg_pos_ratio,
+    'neg_overlap': 0.5,
+    'code_type': code_type,
+    'ignore_cross_boundary_bbox': ignore_cross_boundary_bbox,
+    }
+loss_param = {
+    'normalization': normalization_mode,
+    }
+
+# parameters for generating priors.
+# minimum dimension of input image
+min_dim = 300
+# conv4_3 ==> 38 x 38
+# fc7 ==> 19 x 19
+# conv6_2 ==> 10 x 10
+# conv7_2 ==> 5 x 5
+# conv8_2 ==> 3 x 3
+# conv9_2 ==> 1 x 1
+mbox_source_layers = ['conv4_3', 'fc7', 'conv6_2', 'conv7_2', 'conv8_2', 'conv9_2']
+# in percent %
+min_ratio = 20
+max_ratio = 90
+step = int(math.floor((max_ratio - min_ratio) / (len(mbox_source_layers) - 2)))
+min_sizes = []
+max_sizes = []
+for ratio in xrange(min_ratio, max_ratio + 1, step):
+  min_sizes.append(min_dim * ratio / 100.)
+  max_sizes.append(min_dim * (ratio + step) / 100.)
+min_sizes = [min_dim * 10 / 100.] + min_sizes
+max_sizes = [min_dim * 20 / 100.] + max_sizes
+steps = [8, 16, 32, 64, 100, 300]
+aspect_ratios = [[2], [2, 3], [2, 3], [2, 3], [2], [2]]
+# L2 normalize conv4_3.
+normalizations = [20, -1, -1, -1, -1, -1]
+# variance used to encode/decode prior bboxes.
+if code_type == P.PriorBox.CENTER_SIZE:
+  prior_variance = [0.1, 0.1, 0.2, 0.2]
+else:
+  prior_variance = [0.1]
+flip = True
+clip = False
+
+# Solver parameters.
+# Defining which GPUs to use.
+gpus = "0"
+gpulist = gpus.split(",")
+num_gpus = len(gpulist)
+
+# The number does not matter since we do not do training with this script.
+batch_size = 1
+accum_batch_size = 1
+iter_size = accum_batch_size / batch_size
+solver_mode = P.Solver.CPU
+device_id = 0
+batch_size_per_device = batch_size
+if num_gpus > 0:
+  batch_size_per_device = int(math.ceil(float(batch_size) / num_gpus))
+  iter_size = int(math.ceil(float(accum_batch_size) / (batch_size_per_device * num_gpus)))
+  solver_mode = P.Solver.GPU
+  device_id = int(gpulist[0])
+
+if normalization_mode == P.Loss.NONE:
+  base_lr /= batch_size_per_device
+elif normalization_mode == P.Loss.VALID:
+  base_lr *= 25. / loc_weight
+elif normalization_mode == P.Loss.FULL:
+  # Roughly there are 2000 prior bboxes per image.
+  # TODO(weiliu89): Estimate the exact # of priors.
+  base_lr *= 2000.
+
+# Evaluate on whole test set.
+num_test_image = 4952
+test_batch_size = 8
+# Ideally test_batch_size should be divisible by num_test_image,
+# otherwise mAP will be slightly off the true value.
+test_iter = int(math.ceil(float(num_test_image) / test_batch_size))
+
+solver_param = {
+    # Train parameters
+    'base_lr': base_lr,
+    'weight_decay': 0.0005,
+    'lr_policy': "multistep",
+    'stepvalue': [80000, 100000, 120000],
+    'gamma': 0.1,
+    'momentum': 0.9,
+    'iter_size': iter_size,
+    'max_iter': 0,
+    'snapshot': 0,
+    'display': 10,
+    'average_loss': 10,
+    'type': "SGD",
+    'solver_mode': solver_mode,
+    'device_id': device_id,
+    'debug_info': False,
+    'snapshot_after_train': False,
+    # Test parameters
+    'test_iter': [test_iter],
+    'test_interval': 10000,
+    'test_initialization': True,
+    }
+
+# parameters for generating detection output.
+det_out_param = {
+    'num_classes': num_classes,
+    'share_location': share_location,
+    'background_label_id': background_label_id,
+    'nms_param': {'nms_threshold': 0.45, 'top_k': 400},
+    'save_output_param': {
+        # Not saving results when testing speed.
+        # 'output_directory': output_result_dir,
+        'output_name_prefix': "comp4_det_test_",
+        'output_format': "VOC",
+        'label_map_file': label_map_file,
+        'name_size_file': name_size_file,
+        'num_test_image': num_test_image,
+        },
+    'keep_top_k': 200,
+    'confidence_threshold': 0.01,
+    'code_type': code_type,
+    }
+
+# parameters for evaluating detection results.
+det_eval_param = {
+    'num_classes': num_classes,
+    'background_label_id': background_label_id,
+    'overlap_threshold': 0.5,
+    'evaluate_difficult_gt': False,
+    'name_size_file': name_size_file,
+    }
+
+### Hopefully you don't need to change the following ###
+# Check file.
+check_if_exist(train_data)
+check_if_exist(test_data)
+check_if_exist(label_map_file)
+check_if_exist(pretrain_model)
+make_if_not_exist(save_dir)
+make_if_not_exist(job_dir)
+make_if_not_exist(snapshot_dir)
+
+# Create train net.
+net = caffe.NetSpec()
+net.data, net.label = CreateAnnotatedDataLayer(train_data, batch_size=batch_size_per_device,
+        train=True, output_label=True, label_map_file=label_map_file,
+        transform_param=train_transform_param, batch_sampler=batch_sampler)
+
+VGGNetBody(net, from_layer='data', fully_conv=True, reduced=True, dilated=True,
+    dropout=False)
+
+AddExtraLayers(net, use_batchnorm, lr_mult=lr_mult)
+
+mbox_layers = CreateMultiBoxHead(net, data_layer='data', from_layers=mbox_source_layers,
+        use_batchnorm=use_batchnorm, min_sizes=min_sizes, max_sizes=max_sizes,
+        aspect_ratios=aspect_ratios, steps=steps, normalizations=normalizations,
+        num_classes=num_classes, share_location=share_location, flip=flip, clip=clip,
+        prior_variance=prior_variance, kernel_size=3, pad=1, lr_mult=lr_mult)
+
+# Create the MultiBoxLossLayer.
+name = "mbox_loss"
+mbox_layers.append(net.label)
+net[name] = L.MultiBoxLoss(*mbox_layers, multibox_loss_param=multibox_loss_param,
+        loss_param=loss_param, include=dict(phase=caffe_pb2.Phase.Value('TRAIN')),
+        propagate_down=[True, True, False, False])
+
+with open(train_net_file, 'w') as f:
+    print('name: "{}_train"'.format(model_name), file=f)
+    print(net.to_proto(), file=f)
+shutil.copy(train_net_file, job_dir)
+
+# Create test net.
+net = caffe.NetSpec()
+net.data = CreateAnnotatedDataLayer(test_data, batch_size=test_batch_size,
+        train=False, output_label=False, label_map_file=label_map_file,
+        transform_param=test_transform_param)
+
+VGGNetBody(net, from_layer='data', fully_conv=True, reduced=True, dilated=True,
+    dropout=False)
+
+AddExtraLayers(net, use_batchnorm, lr_mult=lr_mult)
+
+mbox_layers = CreateMultiBoxHead(net, data_layer='data', from_layers=mbox_source_layers,
+        use_batchnorm=use_batchnorm, min_sizes=min_sizes, max_sizes=max_sizes,
+        aspect_ratios=aspect_ratios, steps=steps, normalizations=normalizations,
+        num_classes=num_classes, share_location=share_location, flip=flip, clip=clip,
+        prior_variance=prior_variance, kernel_size=3, pad=1, lr_mult=lr_mult)
+
+conf_name = "mbox_conf"
+if multibox_loss_param["conf_loss_type"] == P.MultiBoxLoss.SOFTMAX:
+  reshape_name = "{}_reshape".format(conf_name)
+  net[reshape_name] = L.Reshape(net[conf_name], shape=dict(dim=[0, -1, num_classes]))
+  softmax_name = "{}_softmax".format(conf_name)
+  net[softmax_name] = L.Softmax(net[reshape_name], axis=2)
+  flatten_name = "{}_flatten".format(conf_name)
+  net[flatten_name] = L.Flatten(net[softmax_name], axis=1)
+  mbox_layers[1] = net[flatten_name]
+elif multibox_loss_param["conf_loss_type"] == P.MultiBoxLoss.LOGISTIC:
+  sigmoid_name = "{}_sigmoid".format(conf_name)
+  net[sigmoid_name] = L.Sigmoid(net[conf_name])
+  mbox_layers[1] = net[sigmoid_name]
+
+net.detection_out = L.DetectionOutput(*mbox_layers,
+    detection_output_param=det_out_param,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+net.slience = L.Silence(net.detection_out, ntop=0,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+
+with open(test_net_file, 'w') as f:
+    print('name: "{}_test"'.format(model_name), file=f)
+    print(net.to_proto(), file=f)
+shutil.copy(test_net_file, job_dir)
+
+# Create deploy net.
+# Remove the first and last layer from test net.
+deploy_net = net
+with open(deploy_net_file, 'w') as f:
+    net_param = deploy_net.to_proto()
+    # Remove the first (AnnotatedData) and last (DetectionEvaluate) layer from test net.
+    del net_param.layer[0]
+    del net_param.layer[-1]
+    net_param.name = '{}_deploy'.format(model_name)
+    net_param.input.extend(['data'])
+    net_param.input_shape.extend([
+        caffe_pb2.BlobShape(dim=[1, 3, resize_height, resize_width])])
+    print(net_param, file=f)
+shutil.copy(deploy_net_file, job_dir)
+
+# Create solver.
+solver = caffe_pb2.SolverParameter(
+        train_net=train_net_file,
+        test_net=[test_net_file],
+        snapshot_prefix=snapshot_prefix,
+        **solver_param)
+
+with open(solver_file, 'w') as f:
+    print(solver, file=f)
+shutil.copy(solver_file, job_dir)
+
+# Create job file.
+with open(job_file, 'w') as f:
+  f.write('cd {}\n'.format(caffe_root))
+  f.write('./build/tools/caffe train \\\n')
+  f.write('--solver="{}" \\\n'.format(solver_file))
+  f.write('--weights="{}" \\\n'.format(pretrain_model))
+  if solver_param['solver_mode'] == P.Solver.GPU:
+    f.write('--gpu {} 2>&1 | tee {}/{}_test{}.log\n'.format(gpus, job_dir, model_name, max_iter))
+  else:
+    f.write('2>&1 | tee {}/{}.log\n'.format(job_dir, model_name))
+
+# Copy the python script to job_dir.
+py_file = os.path.abspath(__file__)
+shutil.copy(py_file, job_dir)
+
+# Run the job.
+os.chmod(job_file, stat.S_IRWXU)
+if run_soon:
+  subprocess.call(job_file, shell=True)
diff --git a/examples/ssd/ssd_pascal_video.py b/examples/ssd/ssd_pascal_video.py
new file mode 100644
index 00000000000..ac2463d97db
--- /dev/null
+++ b/examples/ssd/ssd_pascal_video.py
@@ -0,0 +1,293 @@
+from __future__ import print_function
+import caffe
+from google.protobuf import text_format
+
+import math
+import os
+import shutil
+import stat
+import subprocess
+import sys
+
+sys.path.insert(0, 'examples/ssd')
+from model_libs import *
+
+# Add extra layers on top of a "base" network (e.g. VGGNet or Inception).
+def AddExtraLayers(net, use_batchnorm=True, lr_mult=1):
+    use_relu = True
+
+    # Add additional convolutional layers.
+    # 19 x 19
+    from_layer = net.keys()[-1]
+
+    # TODO(weiliu89): Construct the name using the last layer to avoid duplication.
+    # 10 x 10
+    out_layer = "conv6_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 1, 0, 1,
+        lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv6_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 512, 3, 1, 2,
+        lr_mult=lr_mult)
+
+    # 5 x 5
+    from_layer = out_layer
+    out_layer = "conv7_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv7_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 1, 2,
+      lr_mult=lr_mult)
+
+    # 3 x 3
+    from_layer = out_layer
+    out_layer = "conv8_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv8_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 0, 1,
+      lr_mult=lr_mult)
+
+    # 1 x 1
+    from_layer = out_layer
+    out_layer = "conv9_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv9_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 0, 1,
+      lr_mult=lr_mult)
+
+    return net
+
+
+### Modify the following parameters accordingly ###
+# The directory which contains the caffe code.
+# We assume you are running the script at the CAFFE_ROOT.
+caffe_root = os.getcwd()
+
+# Set true if you want to start training right after generating all files.
+run_soon = True
+# The video file path
+video_file = "examples/videos/ILSVRC2015_train_00755001.mp4"
+
+# The parameters for the video demo
+
+# Key parameters used in training
+# If true, use batch norm for all newly added layers.
+# Currently only the non batch norm version has been tested.
+use_batchnorm = False
+num_classes = 21
+share_location = True
+background_label_id=0
+conf_loss_type = P.MultiBoxLoss.SOFTMAX
+code_type = P.PriorBox.CENTER_SIZE
+lr_mult = 1.
+# Stores LabelMapItem.
+label_map_file = "data/VOC0712/labelmap_voc.prototxt"
+# The resized image size
+resize_width = 300
+resize_height = 300
+
+# Parameters needed for test.
+# Set the number of test iterations to the maximum integer number.
+test_iter = int(math.pow(2, 29) - 1)
+# Use GPU or CPU
+solver_mode = P.Solver.GPU
+# Defining which GPUs to use.
+gpus = "0"
+# Number of frames to be processed per batch.
+test_batch_size = 1
+# Only display high quality detections whose scores are higher than a threshold.
+visualize_threshold = 0.3
+# Size of video image.
+video_width = 1280
+video_height = 720
+# Scale the image size for display.
+scale = 0.8
+
+### Hopefully you don't need to change the following ###
+resize = "{}x{}".format(resize_width, resize_height)
+video_data_param = {
+        'video_type': P.VideoData.VIDEO,
+        'video_file': video_file,
+        }
+test_transform_param = {
+        'mean_value': [104, 117, 123],
+        'resize_param': {
+                'prob': 1,
+                'resize_mode': P.Resize.WARP,
+                'height': resize_height,
+                'width': resize_width,
+                'interp_mode': [P.Resize.LINEAR],
+                },
+        }
+output_transform_param = {
+        'mean_value': [104, 117, 123],
+        'resize_param': {
+                'prob': 1,
+                'resize_mode': P.Resize.WARP,
+                'height': int(video_height * scale),
+                'width': int(video_width * scale),
+                'interp_mode': [P.Resize.LINEAR],
+                },
+        }
+# parameters for generating detection output.
+det_out_param = {
+    'num_classes': num_classes,
+    'share_location': share_location,
+    'background_label_id': background_label_id,
+    'nms_param': {'nms_threshold': 0.45, 'top_k': 400},
+    'save_output_param': {
+            'label_map_file': label_map_file,
+            },
+    'keep_top_k': 200,
+    'confidence_threshold': 0.01,
+    'code_type': code_type,
+    'visualize': True,
+    'visualize_threshold': visualize_threshold,
+    }
+
+# The job name should be same as the name used in examples/ssd/ssd_pascal.py.
+job_name = "SSD_{}".format(resize)
+# The name of the model. Modify it if you want.
+model_name = "VGG_VOC0712_{}".format(job_name)
+
+# Directory which stores the model .prototxt file.
+save_dir = "models/VGGNet/VOC0712/{}_video".format(job_name)
+# Directory which stores the snapshot of trained models.
+snapshot_dir = "models/VGGNet/VOC0712/{}".format(job_name)
+# Directory which stores the job script and log file.
+job_dir = "jobs/VGGNet/VOC0712/{}_video".format(job_name)
+
+# model definition files.
+test_net_file = "{}/test.prototxt".format(save_dir)
+# snapshot prefix.
+snapshot_prefix = "{}/{}".format(snapshot_dir, model_name)
+# job script path.
+job_file = "{}/{}.sh".format(job_dir, model_name)
+
+# Find most recent snapshot.
+max_iter = 0
+for file in os.listdir(snapshot_dir):
+  if file.endswith(".caffemodel"):
+    basename = os.path.splitext(file)[0]
+    iter = int(basename.split("{}_iter_".format(model_name))[1])
+    if iter > max_iter:
+      max_iter = iter
+
+if max_iter == 0:
+  print("Cannot find snapshot in {}".format(snapshot_dir))
+  sys.exit()
+
+# The resume model.
+pretrain_model = "{}_iter_{}.caffemodel".format(snapshot_prefix, max_iter)
+
+# parameters for generating priors.
+# minimum dimension of input image
+min_dim = 300
+# conv4_3 ==> 38 x 38
+# fc7 ==> 19 x 19
+# conv6_2 ==> 10 x 10
+# conv7_2 ==> 5 x 5
+# conv8_2 ==> 3 x 3
+# conv9_2 ==> 1 x 1
+mbox_source_layers = ['conv4_3', 'fc7', 'conv6_2', 'conv7_2', 'conv8_2', 'conv9_2']
+# in percent %
+min_ratio = 20
+max_ratio = 90
+step = int(math.floor((max_ratio - min_ratio) / (len(mbox_source_layers) - 2)))
+min_sizes = []
+max_sizes = []
+for ratio in xrange(min_ratio, max_ratio + 1, step):
+  min_sizes.append(min_dim * ratio / 100.)
+  max_sizes.append(min_dim * (ratio + step) / 100.)
+min_sizes = [min_dim * 10 / 100.] + min_sizes
+max_sizes = [min_dim * 20 / 100.] + max_sizes
+steps = [8, 16, 32, 64, 100, 300]
+aspect_ratios = [[2], [2, 3], [2, 3], [2, 3], [2], [2]]
+# L2 normalize conv4_3.
+normalizations = [20, -1, -1, -1, -1, -1]
+# variance used to encode/decode prior bboxes.
+if code_type == P.PriorBox.CENTER_SIZE:
+  prior_variance = [0.1, 0.1, 0.2, 0.2]
+else:
+  prior_variance = [0.1]
+flip = True
+clip = False
+
+# Check file.
+check_if_exist(label_map_file)
+check_if_exist(pretrain_model)
+make_if_not_exist(save_dir)
+make_if_not_exist(job_dir)
+make_if_not_exist(snapshot_dir)
+
+# Create test net.
+net = caffe.NetSpec()
+net.data = L.VideoData(video_data_param=video_data_param,
+        data_param=dict(batch_size=test_batch_size),
+        transform_param=test_transform_param)
+
+VGGNetBody(net, from_layer='data', fully_conv=True, reduced=True, dilated=True,
+    dropout=False)
+
+AddExtraLayers(net, use_batchnorm, lr_mult=lr_mult)
+
+mbox_layers = CreateMultiBoxHead(net, data_layer='data', from_layers=mbox_source_layers,
+        use_batchnorm=use_batchnorm, min_sizes=min_sizes, max_sizes=max_sizes,
+        aspect_ratios=aspect_ratios, steps=steps, normalizations=normalizations,
+        num_classes=num_classes, share_location=share_location, flip=flip, clip=clip,
+        prior_variance=prior_variance, kernel_size=3, pad=1, lr_mult=lr_mult)
+
+conf_name = "mbox_conf"
+if conf_loss_type == P.MultiBoxLoss.SOFTMAX:
+  reshape_name = "{}_reshape".format(conf_name)
+  net[reshape_name] = L.Reshape(net[conf_name], shape=dict(dim=[0, -1, num_classes]))
+  softmax_name = "{}_softmax".format(conf_name)
+  net[softmax_name] = L.Softmax(net[reshape_name], axis=2)
+  flatten_name = "{}_flatten".format(conf_name)
+  net[flatten_name] = L.Flatten(net[softmax_name], axis=1)
+  mbox_layers[1] = net[flatten_name]
+elif conf_loss_type == P.MultiBoxLoss.LOGISTIC:
+  sigmoid_name = "{}_sigmoid".format(conf_name)
+  net[sigmoid_name] = L.Sigmoid(net[conf_name])
+  mbox_layers[1] = net[sigmoid_name]
+
+mbox_layers.append(net.data)
+net.detection_out = L.DetectionOutput(*mbox_layers,
+    detection_output_param=det_out_param,
+    transform_param=output_transform_param,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+net.slience = L.Silence(net.detection_out, ntop=0,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+
+with open(test_net_file, 'w') as f:
+    print('name: "{}_test"'.format(model_name), file=f)
+    print(net.to_proto(), file=f)
+shutil.copy(test_net_file, job_dir)
+
+# Create job file.
+with open(job_file, 'w') as f:
+  f.write('cd {}\n'.format(caffe_root))
+  f.write('./build/tools/caffe test \\\n')
+  f.write('--model="{}" \\\n'.format(test_net_file))
+  f.write('--weights="{}" \\\n'.format(pretrain_model))
+  f.write('--iterations="{}" \\\n'.format(test_iter))
+  if solver_mode == P.Solver.GPU:
+    f.write('--gpu {}\n'.format(gpus))
+
+# Copy the python script to job_dir.
+py_file = os.path.abspath(__file__)
+shutil.copy(py_file, job_dir)
+
+# Run the job.
+os.chmod(job_file, stat.S_IRWXU)
+if run_soon:
+  subprocess.call(job_file, shell=True)
diff --git a/examples/ssd/ssd_pascal_webcam.py b/examples/ssd/ssd_pascal_webcam.py
new file mode 100644
index 00000000000..3b58e5437b2
--- /dev/null
+++ b/examples/ssd/ssd_pascal_webcam.py
@@ -0,0 +1,296 @@
+from __future__ import print_function
+import caffe
+from google.protobuf import text_format
+
+import math
+import os
+import shutil
+import stat
+import subprocess
+import sys
+
+sys.path.insert(0, 'examples/ssd')
+from model_libs import *
+
+# Add extra layers on top of a "base" network (e.g. VGGNet or Inception).
+def AddExtraLayers(net, use_batchnorm=True, lr_mult=1):
+    use_relu = True
+
+    # Add additional convolutional layers.
+    # 19 x 19
+    from_layer = net.keys()[-1]
+
+    # TODO(weiliu89): Construct the name using the last layer to avoid duplication.
+    # 10 x 10
+    out_layer = "conv6_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 1, 0, 1,
+        lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv6_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 512, 3, 1, 2,
+        lr_mult=lr_mult)
+
+    # 5 x 5
+    from_layer = out_layer
+    out_layer = "conv7_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv7_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 1, 2,
+      lr_mult=lr_mult)
+
+    # 3 x 3
+    from_layer = out_layer
+    out_layer = "conv8_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv8_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 0, 1,
+      lr_mult=lr_mult)
+
+    # 1 x 1
+    from_layer = out_layer
+    out_layer = "conv9_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv9_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 0, 1,
+      lr_mult=lr_mult)
+
+    return net
+
+
+### Modify the following parameters accordingly ###
+# The directory which contains the caffe code.
+# We assume you are running the script at the CAFFE_ROOT.
+caffe_root = os.getcwd()
+
+# Set true if you want to start training right after generating all files.
+run_soon = True
+# The device id for webcam
+webcam_id = 0
+# Number of frames to be skipped.
+skip_frames = 0
+
+# The parameters for the webcam demo
+
+# Key parameters used in training
+# If true, use batch norm for all newly added layers.
+# Currently only the non batch norm version has been tested.
+use_batchnorm = False
+num_classes = 21
+share_location = True
+background_label_id=0
+conf_loss_type = P.MultiBoxLoss.SOFTMAX
+code_type = P.PriorBox.CENTER_SIZE
+lr_mult = 1.
+# Stores LabelMapItem.
+label_map_file = "data/VOC0712/labelmap_voc.prototxt"
+# The resized image size
+resize_width = 300
+resize_height = 300
+
+# Parameters needed for test.
+# Set the number of test iterations to the maximum integer number.
+test_iter = int(math.pow(2, 29) - 1)
+# Use GPU or CPU
+solver_mode = P.Solver.GPU
+# Defining which GPUs to use.
+gpus = "0"
+# Number of frames to be processed per batch.
+test_batch_size = 1
+# Only display high quality detections whose scores are higher than a threshold.
+visualize_threshold = 0.6
+# Size of webcam image.
+webcam_width = 640
+webcam_height = 480
+# Scale the image size for display.
+scale = 1.5
+
+### Hopefully you don't need to change the following ###
+resize = "{}x{}".format(resize_width, resize_height)
+video_data_param = {
+        'video_type': P.VideoData.WEBCAM,
+        'device_id': webcam_id,
+        'skip_frames': skip_frames,
+        }
+test_transform_param = {
+        'mean_value': [104, 117, 123],
+        'resize_param': {
+                'prob': 1,
+                'resize_mode': P.Resize.WARP,
+                'height': resize_height,
+                'width': resize_width,
+                'interp_mode': [P.Resize.LINEAR],
+                },
+        }
+output_transform_param = {
+        'mean_value': [104, 117, 123],
+        'resize_param': {
+                'prob': 1,
+                'resize_mode': P.Resize.WARP,
+                'height': int(webcam_height * scale),
+                'width': int(webcam_width * scale),
+                'interp_mode': [P.Resize.LINEAR],
+                },
+        }
+# parameters for generating detection output.
+det_out_param = {
+    'num_classes': num_classes,
+    'share_location': share_location,
+    'background_label_id': background_label_id,
+    'nms_param': {'nms_threshold': 0.45, 'top_k': 400},
+    'save_output_param': {
+            'label_map_file': label_map_file,
+            },
+    'keep_top_k': 200,
+    'confidence_threshold': 0.01,
+    'code_type': code_type,
+    'visualize': True,
+    'visualize_threshold': visualize_threshold,
+    }
+
+# The job name should be same as the name used in examples/ssd/ssd_pascal.py.
+job_name = "SSD_{}".format(resize)
+# The name of the model. Modify it if you want.
+model_name = "VGG_VOC0712_{}".format(job_name)
+
+# Directory which stores the model .prototxt file.
+save_dir = "models/VGGNet/VOC0712/{}_webcam".format(job_name)
+# Directory which stores the snapshot of trained models.
+snapshot_dir = "models/VGGNet/VOC0712/{}".format(job_name)
+# Directory which stores the job script and log file.
+job_dir = "jobs/VGGNet/VOC0712/{}_webcam".format(job_name)
+
+# model definition files.
+test_net_file = "{}/test.prototxt".format(save_dir)
+# snapshot prefix.
+snapshot_prefix = "{}/{}".format(snapshot_dir, model_name)
+# job script path.
+job_file = "{}/{}.sh".format(job_dir, model_name)
+
+# Find most recent snapshot.
+max_iter = 0
+for file in os.listdir(snapshot_dir):
+  if file.endswith(".caffemodel"):
+    basename = os.path.splitext(file)[0]
+    iter = int(basename.split("{}_iter_".format(model_name))[1])
+    if iter > max_iter:
+      max_iter = iter
+
+if max_iter == 0:
+  print("Cannot find snapshot in {}".format(snapshot_dir))
+  sys.exit()
+
+# The resume model.
+pretrain_model = "{}_iter_{}.caffemodel".format(snapshot_prefix, max_iter)
+
+# parameters for generating priors.
+# minimum dimension of input image
+min_dim = 300
+# conv4_3 ==> 38 x 38
+# fc7 ==> 19 x 19
+# conv6_2 ==> 10 x 10
+# conv7_2 ==> 5 x 5
+# conv8_2 ==> 3 x 3
+# conv9_2 ==> 1 x 1
+mbox_source_layers = ['conv4_3', 'fc7', 'conv6_2', 'conv7_2', 'conv8_2', 'conv9_2']
+# in percent %
+min_ratio = 20
+max_ratio = 90
+step = int(math.floor((max_ratio - min_ratio) / (len(mbox_source_layers) - 2)))
+min_sizes = []
+max_sizes = []
+for ratio in xrange(min_ratio, max_ratio + 1, step):
+  min_sizes.append(min_dim * ratio / 100.)
+  max_sizes.append(min_dim * (ratio + step) / 100.)
+min_sizes = [min_dim * 10 / 100.] + min_sizes
+max_sizes = [min_dim * 20 / 100.] + max_sizes
+steps = [8, 16, 32, 64, 100, 300]
+aspect_ratios = [[2], [2, 3], [2, 3], [2, 3], [2], [2]]
+# L2 normalize conv4_3.
+normalizations = [20, -1, -1, -1, -1, -1]
+# variance used to encode/decode prior bboxes.
+if code_type == P.PriorBox.CENTER_SIZE:
+  prior_variance = [0.1, 0.1, 0.2, 0.2]
+else:
+  prior_variance = [0.1]
+flip = True
+clip = False
+
+# Check file.
+check_if_exist(label_map_file)
+check_if_exist(pretrain_model)
+make_if_not_exist(save_dir)
+make_if_not_exist(job_dir)
+make_if_not_exist(snapshot_dir)
+
+# Create test net.
+net = caffe.NetSpec()
+net.data = L.VideoData(video_data_param=video_data_param,
+        data_param=dict(batch_size=test_batch_size),
+        transform_param=test_transform_param)
+
+VGGNetBody(net, from_layer='data', fully_conv=True, reduced=True, dilated=True,
+    dropout=False)
+
+AddExtraLayers(net, use_batchnorm, lr_mult=lr_mult)
+
+mbox_layers = CreateMultiBoxHead(net, data_layer='data', from_layers=mbox_source_layers,
+        use_batchnorm=use_batchnorm, min_sizes=min_sizes, max_sizes=max_sizes,
+        aspect_ratios=aspect_ratios, steps=steps, normalizations=normalizations,
+        num_classes=num_classes, share_location=share_location, flip=flip, clip=clip,
+        prior_variance=prior_variance, kernel_size=3, pad=1, lr_mult=lr_mult)
+
+conf_name = "mbox_conf"
+if conf_loss_type == P.MultiBoxLoss.SOFTMAX:
+  reshape_name = "{}_reshape".format(conf_name)
+  net[reshape_name] = L.Reshape(net[conf_name], shape=dict(dim=[0, -1, num_classes]))
+  softmax_name = "{}_softmax".format(conf_name)
+  net[softmax_name] = L.Softmax(net[reshape_name], axis=2)
+  flatten_name = "{}_flatten".format(conf_name)
+  net[flatten_name] = L.Flatten(net[softmax_name], axis=1)
+  mbox_layers[1] = net[flatten_name]
+elif conf_loss_type == P.MultiBoxLoss.LOGISTIC:
+  sigmoid_name = "{}_sigmoid".format(conf_name)
+  net[sigmoid_name] = L.Sigmoid(net[conf_name])
+  mbox_layers[1] = net[sigmoid_name]
+
+mbox_layers.append(net.data)
+net.detection_out = L.DetectionOutput(*mbox_layers,
+    detection_output_param=det_out_param,
+    transform_param=output_transform_param,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+net.slience = L.Silence(net.detection_out, ntop=0,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+
+with open(test_net_file, 'w') as f:
+    print('name: "{}_test"'.format(model_name), file=f)
+    print(net.to_proto(), file=f)
+shutil.copy(test_net_file, job_dir)
+
+# Create job file.
+with open(job_file, 'w') as f:
+  f.write('cd {}\n'.format(caffe_root))
+  f.write('./build/tools/caffe test \\\n')
+  f.write('--model="{}" \\\n'.format(test_net_file))
+  f.write('--weights="{}" \\\n'.format(pretrain_model))
+  f.write('--iterations="{}" \\\n'.format(test_iter))
+  if solver_mode == P.Solver.GPU:
+    f.write('--gpu {}\n'.format(gpus))
+
+# Copy the python script to job_dir.
+py_file = os.path.abspath(__file__)
+shutil.copy(py_file, job_dir)
+
+# Run the job.
+os.chmod(job_file, stat.S_IRWXU)
+if run_soon:
+  subprocess.call(job_file, shell=True)
diff --git a/examples/ssd/ssd_pascal_zf.py b/examples/ssd/ssd_pascal_zf.py
new file mode 100644
index 00000000000..1531c26560d
--- /dev/null
+++ b/examples/ssd/ssd_pascal_zf.py
@@ -0,0 +1,580 @@
+'''
+Before running this script, you should download the fully convolutional reduced (atrous) ZFNet at:
+  http://cs.unc.edu/~wliu/projects/SSD/ZF_conv_reduced.caffemodel
+By default, we assume the model is stored in `$CAFFE_ROOT/models/ZFNet/`
+'''
+from __future__ import print_function
+import caffe
+from google.protobuf import text_format
+
+import math
+import os
+import shutil
+import stat
+import subprocess
+import sys
+
+sys.path.insert(0, 'examples/ssd')
+from model_libs import *
+
+# Add extra layers on top of a "base" network (e.g. VGGNet or Inception).
+def AddExtraLayers(net, use_batchnorm=True, lr_mult=1):
+    use_relu = True
+
+    # Add additional convolutional layers.
+    # 19 x 19
+    from_layer = net.keys()[-1]
+
+    # TODO(weiliu89): Construct the name using the last layer to avoid duplication.
+    # 10 x 10
+    out_layer = "conv6_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 1, 0, 1,
+        lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv6_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 512, 3, 1, 2,
+        lr_mult=lr_mult)
+
+    # 5 x 5
+    from_layer = out_layer
+    out_layer = "conv7_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv7_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 1, 2,
+      lr_mult=lr_mult)
+
+    # 3 x 3
+    from_layer = out_layer
+    out_layer = "conv8_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv8_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 0, 1,
+      lr_mult=lr_mult)
+
+    # 1 x 1
+    from_layer = out_layer
+    out_layer = "conv9_1"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 128, 1, 0, 1,
+      lr_mult=lr_mult)
+
+    from_layer = out_layer
+    out_layer = "conv9_2"
+    ConvBNLayer(net, from_layer, out_layer, use_batchnorm, use_relu, 256, 3, 0, 1,
+      lr_mult=lr_mult)
+
+    return net
+
+
+### Modify the following parameters accordingly ###
+# The directory which contains the caffe code.
+# We assume you are running the script at the CAFFE_ROOT.
+caffe_root = os.getcwd()
+
+# Set true if you want to start training right after generating all files.
+run_soon = True
+# Set true if you want to load from most recently saved snapshot.
+# Otherwise, we will load from the pretrain_model defined below.
+resume_training = True
+# If true, Remove old model files.
+remove_old_models = False
+
+# The database file for training data. Created by data/VOC0712/create_data.sh
+train_data = "examples/VOC0712/VOC0712_trainval_lmdb"
+# The database file for testing data. Created by data/VOC0712/create_data.sh
+test_data = "examples/VOC0712/VOC0712_test_lmdb"
+# Specify the batch sampler.
+resize_width = 300
+resize_height = 300
+resize = "{}x{}".format(resize_width, resize_height)
+batch_sampler = [
+        {
+                'sampler': {
+                        },
+                'max_trials': 1,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.1,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.3,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.5,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.7,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'min_jaccard_overlap': 0.9,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        {
+                'sampler': {
+                        'min_scale': 0.3,
+                        'max_scale': 1.0,
+                        'min_aspect_ratio': 0.5,
+                        'max_aspect_ratio': 2.0,
+                        },
+                'sample_constraint': {
+                        'max_jaccard_overlap': 1.0,
+                        },
+                'max_trials': 50,
+                'max_sample': 1,
+        },
+        ]
+train_transform_param = {
+        'mirror': True,
+        'mean_value': [104, 117, 123],
+        'resize_param': {
+                'prob': 1,
+                'resize_mode': P.Resize.WARP,
+                'height': resize_height,
+                'width': resize_width,
+                'interp_mode': [
+                        P.Resize.LINEAR,
+                        P.Resize.AREA,
+                        P.Resize.NEAREST,
+                        P.Resize.CUBIC,
+                        P.Resize.LANCZOS4,
+                        ],
+                },
+        'distort_param': {
+                'brightness_prob': 0.5,
+                'brightness_delta': 32,
+                'contrast_prob': 0.5,
+                'contrast_lower': 0.5,
+                'contrast_upper': 1.5,
+                'hue_prob': 0.5,
+                'hue_delta': 18,
+                'saturation_prob': 0.5,
+                'saturation_lower': 0.5,
+                'saturation_upper': 1.5,
+                'random_order_prob': 0.0,
+                },
+        'expand_param': {
+                'prob': 0.5,
+                'max_expand_ratio': 4.0,
+                },
+        'emit_constraint': {
+            'emit_type': caffe_pb2.EmitConstraint.CENTER,
+            }
+        }
+test_transform_param = {
+        'mean_value': [104, 117, 123],
+        'resize_param': {
+                'prob': 1,
+                'resize_mode': P.Resize.WARP,
+                'height': resize_height,
+                'width': resize_width,
+                'interp_mode': [P.Resize.LINEAR],
+                },
+        }
+
+# If true, use batch norm for all newly added layers.
+# Currently only the non batch norm version has been tested.
+use_batchnorm = False
+lr_mult = 1
+# Use different initial learning rate.
+if use_batchnorm:
+    base_lr = 0.0004
+else:
+    # A learning rate for batch_size = 1, num_gpus = 1.
+    base_lr = 0.00004
+
+# Modify the job name if you want.
+job_name = "SSD_{}".format(resize)
+# The name of the model. Modify it if you want.
+model_name = "ZF_VOC0712_{}".format(job_name)
+
+# Directory which stores the model .prototxt file.
+save_dir = "models/ZFNet/VOC0712/{}".format(job_name)
+# Directory which stores the snapshot of models.
+snapshot_dir = "models/ZFNet/VOC0712/{}".format(job_name)
+# Directory which stores the job script and log file.
+job_dir = "jobs/ZFNet/VOC0712/{}".format(job_name)
+# Directory which stores the detection results.
+output_result_dir = "{}/data/VOCdevkit/results/VOC2007/{}/Main".format(os.environ['HOME'], job_name)
+
+# model definition files.
+train_net_file = "{}/train.prototxt".format(save_dir)
+test_net_file = "{}/test.prototxt".format(save_dir)
+deploy_net_file = "{}/deploy.prototxt".format(save_dir)
+solver_file = "{}/solver.prototxt".format(save_dir)
+# snapshot prefix.
+snapshot_prefix = "{}/{}".format(snapshot_dir, model_name)
+# job script path.
+job_file = "{}/{}.sh".format(job_dir, model_name)
+
+# Stores the test image names and sizes. Created by data/VOC0712/create_list.sh
+name_size_file = "data/VOC0712/test_name_size.txt"
+# The pretrained model. We use the Fully convolutional reduced (atrous) ZFNet.
+pretrain_model = "models/ZFNet/ZF_conv_reduced.caffemodel"
+# Stores LabelMapItem.
+label_map_file = "data/VOC0712/labelmap_voc.prototxt"
+
+# MultiBoxLoss parameters.
+num_classes = 21
+share_location = True
+background_label_id=0
+train_on_diff_gt = True
+normalization_mode = P.Loss.VALID
+code_type = P.PriorBox.CENTER_SIZE
+ignore_cross_boundary_bbox = False
+mining_type = P.MultiBoxLoss.MAX_NEGATIVE
+neg_pos_ratio = 3.
+loc_weight = (neg_pos_ratio + 1.) / 4.
+multibox_loss_param = {
+    'loc_loss_type': P.MultiBoxLoss.SMOOTH_L1,
+    'conf_loss_type': P.MultiBoxLoss.SOFTMAX,
+    'loc_weight': loc_weight,
+    'num_classes': num_classes,
+    'share_location': share_location,
+    'match_type': P.MultiBoxLoss.PER_PREDICTION,
+    'overlap_threshold': 0.5,
+    'use_prior_for_matching': True,
+    'background_label_id': background_label_id,
+    'use_difficult_gt': train_on_diff_gt,
+    'mining_type': mining_type,
+    'neg_pos_ratio': neg_pos_ratio,
+    'neg_overlap': 0.5,
+    'code_type': code_type,
+    'ignore_cross_boundary_bbox': ignore_cross_boundary_bbox,
+    }
+loss_param = {
+    'normalization': normalization_mode,
+    }
+
+# parameters for generating priors.
+# minimum dimension of input image
+min_dim = 300
+# conv2 ==> 38 x 38
+# fc7 ==> 19 x 19
+# conv6_2 ==> 10 x 10
+# conv7_2 ==> 5 x 5
+# conv8_2 ==> 3 x 3
+# conv9_2 ==> 1 x 1
+mbox_source_layers = ['conv2', 'fc7', 'conv6_2', 'conv7_2', 'conv8_2', 'conv9_2']
+# in percent %
+min_ratio = 20
+max_ratio = 90
+step = int(math.floor((max_ratio - min_ratio) / (len(mbox_source_layers) - 2)))
+min_sizes = []
+max_sizes = []
+for ratio in xrange(min_ratio, max_ratio + 1, step):
+  min_sizes.append(min_dim * ratio / 100.)
+  max_sizes.append(min_dim * (ratio + step) / 100.)
+min_sizes = [min_dim * 10 / 100.] + min_sizes
+max_sizes = [min_dim * 20 / 100.] + max_sizes
+steps = [8, 16, 32, 64, 100, 300]
+aspect_ratios = [[2], [2, 3], [2, 3], [2, 3], [2], [2]]
+# L2 normalize conv2.
+normalizations = [20, -1, -1, -1, -1, -1]
+# variance used to encode/decode prior bboxes.
+if code_type == P.PriorBox.CENTER_SIZE:
+  prior_variance = [0.1, 0.1, 0.2, 0.2]
+else:
+  prior_variance = [0.1]
+flip = True
+clip = False
+
+# Solver parameters.
+# Defining which GPUs to use.
+gpus = "0,1,2,3"
+gpulist = gpus.split(",")
+num_gpus = len(gpulist)
+
+# Divide the mini-batch to different GPUs.
+batch_size = 32
+accum_batch_size = 32
+iter_size = accum_batch_size / batch_size
+solver_mode = P.Solver.CPU
+device_id = 0
+batch_size_per_device = batch_size
+if num_gpus > 0:
+  batch_size_per_device = int(math.ceil(float(batch_size) / num_gpus))
+  iter_size = int(math.ceil(float(accum_batch_size) / (batch_size_per_device * num_gpus)))
+  solver_mode = P.Solver.GPU
+  device_id = int(gpulist[0])
+
+if normalization_mode == P.Loss.NONE:
+  base_lr /= batch_size_per_device
+elif normalization_mode == P.Loss.VALID:
+  base_lr *= 25. / loc_weight
+elif normalization_mode == P.Loss.FULL:
+  # Roughly there are 2000 prior bboxes per image.
+  # TODO(weiliu89): Estimate the exact # of priors.
+  base_lr *= 2000.
+
+# Evaluate on whole test set.
+num_test_image = 4952
+test_batch_size = 8
+# Ideally test_batch_size should be divisible by num_test_image,
+# otherwise mAP will be slightly off the true value.
+test_iter = int(math.ceil(float(num_test_image) / test_batch_size))
+
+solver_param = {
+    # Train parameters
+    'base_lr': base_lr,
+    'weight_decay': 0.0005,
+    'lr_policy': "multistep",
+    'stepvalue': [80000, 100000, 120000],
+    'gamma': 0.1,
+    'momentum': 0.9,
+    'iter_size': iter_size,
+    'max_iter': 120000,
+    'snapshot': 80000,
+    'display': 10,
+    'average_loss': 10,
+    'type': "SGD",
+    'solver_mode': solver_mode,
+    'device_id': device_id,
+    'debug_info': False,
+    'snapshot_after_train': True,
+    # Test parameters
+    'test_iter': [test_iter],
+    'test_interval': 10000,
+    'eval_type': "detection",
+    'ap_version': "11point",
+    'test_initialization': False,
+    }
+
+# parameters for generating detection output.
+det_out_param = {
+    'num_classes': num_classes,
+    'share_location': share_location,
+    'background_label_id': background_label_id,
+    'nms_param': {'nms_threshold': 0.45, 'top_k': 400},
+    'save_output_param': {
+        'output_directory': output_result_dir,
+        'output_name_prefix': "comp4_det_test_",
+        'output_format': "VOC",
+        'label_map_file': label_map_file,
+        'name_size_file': name_size_file,
+        'num_test_image': num_test_image,
+        },
+    'keep_top_k': 200,
+    'confidence_threshold': 0.01,
+    'code_type': code_type,
+    }
+
+# parameters for evaluating detection results.
+det_eval_param = {
+    'num_classes': num_classes,
+    'background_label_id': background_label_id,
+    'overlap_threshold': 0.5,
+    'evaluate_difficult_gt': False,
+    'name_size_file': name_size_file,
+    }
+
+### Hopefully you don't need to change the following ###
+# Check file.
+check_if_exist(train_data)
+check_if_exist(test_data)
+check_if_exist(label_map_file)
+check_if_exist(pretrain_model)
+make_if_not_exist(save_dir)
+make_if_not_exist(job_dir)
+make_if_not_exist(snapshot_dir)
+
+# Create train net.
+net = caffe.NetSpec()
+net.data, net.label = CreateAnnotatedDataLayer(train_data, batch_size=batch_size_per_device,
+        train=True, output_label=True, label_map_file=label_map_file,
+        transform_param=train_transform_param, batch_sampler=batch_sampler)
+
+ZFNetBody(net, from_layer='data', fully_conv=True, reduced=True, dilated=True,
+    dropout=False)
+
+AddExtraLayers(net, use_batchnorm, lr_mult=lr_mult)
+
+mbox_layers = CreateMultiBoxHead(net, data_layer='data', from_layers=mbox_source_layers,
+        use_batchnorm=use_batchnorm, min_sizes=min_sizes, max_sizes=max_sizes,
+        aspect_ratios=aspect_ratios, steps=steps, normalizations=normalizations,
+        num_classes=num_classes, share_location=share_location, flip=flip, clip=clip,
+        prior_variance=prior_variance, kernel_size=3, pad=1, lr_mult=lr_mult)
+
+# Create the MultiBoxLossLayer.
+name = "mbox_loss"
+mbox_layers.append(net.label)
+net[name] = L.MultiBoxLoss(*mbox_layers, multibox_loss_param=multibox_loss_param,
+        loss_param=loss_param, include=dict(phase=caffe_pb2.Phase.Value('TRAIN')),
+        propagate_down=[True, True, False, False])
+
+with open(train_net_file, 'w') as f:
+    print('name: "{}_train"'.format(model_name), file=f)
+    print(net.to_proto(), file=f)
+shutil.copy(train_net_file, job_dir)
+
+# Create test net.
+net = caffe.NetSpec()
+net.data, net.label = CreateAnnotatedDataLayer(test_data, batch_size=test_batch_size,
+        train=False, output_label=True, label_map_file=label_map_file,
+        transform_param=test_transform_param)
+
+ZFNetBody(net, from_layer='data', fully_conv=True, reduced=True, dilated=True,
+    dropout=False)
+
+AddExtraLayers(net, use_batchnorm, lr_mult=lr_mult)
+
+mbox_layers = CreateMultiBoxHead(net, data_layer='data', from_layers=mbox_source_layers,
+        use_batchnorm=use_batchnorm, min_sizes=min_sizes, max_sizes=max_sizes,
+        aspect_ratios=aspect_ratios, steps=steps, normalizations=normalizations,
+        num_classes=num_classes, share_location=share_location, flip=flip, clip=clip,
+        prior_variance=prior_variance, kernel_size=3, pad=1, lr_mult=lr_mult)
+
+conf_name = "mbox_conf"
+if multibox_loss_param["conf_loss_type"] == P.MultiBoxLoss.SOFTMAX:
+  reshape_name = "{}_reshape".format(conf_name)
+  net[reshape_name] = L.Reshape(net[conf_name], shape=dict(dim=[0, -1, num_classes]))
+  softmax_name = "{}_softmax".format(conf_name)
+  net[softmax_name] = L.Softmax(net[reshape_name], axis=2)
+  flatten_name = "{}_flatten".format(conf_name)
+  net[flatten_name] = L.Flatten(net[softmax_name], axis=1)
+  mbox_layers[1] = net[flatten_name]
+elif multibox_loss_param["conf_loss_type"] == P.MultiBoxLoss.LOGISTIC:
+  sigmoid_name = "{}_sigmoid".format(conf_name)
+  net[sigmoid_name] = L.Sigmoid(net[conf_name])
+  mbox_layers[1] = net[sigmoid_name]
+
+net.detection_out = L.DetectionOutput(*mbox_layers,
+    detection_output_param=det_out_param,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+net.detection_eval = L.DetectionEvaluate(net.detection_out, net.label,
+    detection_evaluate_param=det_eval_param,
+    include=dict(phase=caffe_pb2.Phase.Value('TEST')))
+
+with open(test_net_file, 'w') as f:
+    print('name: "{}_test"'.format(model_name), file=f)
+    print(net.to_proto(), file=f)
+shutil.copy(test_net_file, job_dir)
+
+# Create deploy net.
+# Remove the first and last layer from test net.
+deploy_net = net
+with open(deploy_net_file, 'w') as f:
+    net_param = deploy_net.to_proto()
+    # Remove the first (AnnotatedData) and last (DetectionEvaluate) layer from test net.
+    del net_param.layer[0]
+    del net_param.layer[-1]
+    net_param.name = '{}_deploy'.format(model_name)
+    net_param.input.extend(['data'])
+    net_param.input_shape.extend([
+        caffe_pb2.BlobShape(dim=[1, 3, resize_height, resize_width])])
+    print(net_param, file=f)
+shutil.copy(deploy_net_file, job_dir)
+
+# Create solver.
+solver = caffe_pb2.SolverParameter(
+        train_net=train_net_file,
+        test_net=[test_net_file],
+        snapshot_prefix=snapshot_prefix,
+        **solver_param)
+
+with open(solver_file, 'w') as f:
+    print(solver, file=f)
+shutil.copy(solver_file, job_dir)
+
+max_iter = 0
+# Find most recent snapshot.
+for file in os.listdir(snapshot_dir):
+  if file.endswith(".solverstate"):
+    basename = os.path.splitext(file)[0]
+    iter = int(basename.split("{}_iter_".format(model_name))[1])
+    if iter > max_iter:
+      max_iter = iter
+
+train_src_param = '--weights="{}" \\\n'.format(pretrain_model)
+if resume_training:
+  if max_iter > 0:
+    train_src_param = '--snapshot="{}_iter_{}.solverstate" \\\n'.format(snapshot_prefix, max_iter)
+
+if remove_old_models:
+  # Remove any snapshots smaller than max_iter.
+  for file in os.listdir(snapshot_dir):
+    if file.endswith(".solverstate"):
+      basename = os.path.splitext(file)[0]
+      iter = int(basename.split("{}_iter_".format(model_name))[1])
+      if max_iter > iter:
+        os.remove("{}/{}".format(snapshot_dir, file))
+    if file.endswith(".caffemodel"):
+      basename = os.path.splitext(file)[0]
+      iter = int(basename.split("{}_iter_".format(model_name))[1])
+      if max_iter > iter:
+        os.remove("{}/{}".format(snapshot_dir, file))
+
+# Create job file.
+with open(job_file, 'w') as f:
+  f.write('cd {}\n'.format(caffe_root))
+  f.write('./build/tools/caffe train \\\n')
+  f.write('--solver="{}" \\\n'.format(solver_file))
+  f.write(train_src_param)
+  if solver_param['solver_mode'] == P.Solver.GPU:
+    f.write('--gpu {} 2>&1 | tee {}/{}.log\n'.format(gpus, job_dir, model_name))
+  else:
+    f.write('2>&1 | tee {}/{}.log\n'.format(job_dir, model_name))
+
+# Copy the python script to job_dir.
+py_file = os.path.abspath(__file__)
+shutil.copy(py_file, job_dir)
+
+# Run the job.
+os.chmod(job_file, stat.S_IRWXU)
+if run_soon:
+  subprocess.call(job_file, shell=True)
diff --git a/include/caffe/common.hpp b/include/caffe/common.hpp
index 36c497c0fa9..ea576f7193d 100644
--- a/include/caffe/common.hpp
+++ b/include/caffe/common.hpp
@@ -350,6 +350,9 @@ class Caffe {
   static curandGenerator_t curand_generator() {
     return Get().curand_generator_;
   }
+  static cudaStream_t curand_stream() {
+    return Get().curand_stream_->get();
+  }
   static shared_ptr<CuBLASHandle> short_term_cublas_phandle() {
     return make_shared<CuBLASHandle>();
   }
@@ -432,10 +435,11 @@ class Caffe {
   static void set_restored_iter(int val);
 
   static void set_gpus(const std::vector<int>& gpus) {
-    props().gpus_ = gpus;
+    std::lock_guard<std::mutex> lock(caffe_mutex_);
+    gpus_ = gpus;
   }
   static const std::vector<int>& gpus() {
-    return props().gpus_;
+    return gpus_;
   }
   static const std::string& caffe_version() {
     return props().caffe_version();
@@ -505,9 +509,10 @@ class Caffe {
 
   // Default device chosen by a user and associated with the main thread.
   // For example, if user runs `caffe train -gpu=1,0,3` then it has to be set to 1.
+  static int root_device_;
   static Brew mode_;
   static int solver_count_;
-  static int root_device_;
+  static std::vector<int> gpus_;
   static int thread_count_;
   static int restored_iter_;
   static std::atomic<uint64_t> root_seed_;
@@ -526,10 +531,14 @@ class Caffe {
 
   DISABLE_COPY_MOVE_AND_ASSIGN(Caffe);
 
+ public:
   // Caffe Properties singleton
   class Properties {
     friend class Caffe;
+
    public:
+    Properties();
+
     const std::string& caffe_version() const {
       return caffe_version_;
     }
@@ -560,7 +569,6 @@ class Caffe {
     }
 
    private:
-    std::vector<int> gpus_;
     std::time_t init_time_;
     std::uint32_t main_thread_id_;
     std::string caffe_version_;
@@ -570,15 +578,10 @@ class Caffe {
     std::string cuda_driver_version_;
     std::vector<int> compute_capabilities_;
 
-    Properties();
     DISABLE_COPY_MOVE_AND_ASSIGN(Properties);
   };
 
-  static Properties props_;
-
-  static Properties& props() {
-    return props_;
-  }
+  static Properties& props();
 };
 
 // Yet another Event implementation
diff --git a/include/caffe/data_reader.hpp b/include/caffe/data_reader.hpp
index 0887315dea6..9c2fccc48a4 100644
--- a/include/caffe/data_reader.hpp
+++ b/include/caffe/data_reader.hpp
@@ -23,6 +23,7 @@ namespace caffe {
  * to allow deterministic ordering down the road. Data is distributed to solvers
  * in a round-robin way to keep parallel training deterministic.
  */
+template <typename DatumType>
 class DataReader : public InternalThread {
  private:
   class CursorManager {
@@ -43,8 +44,8 @@ class DataReader : public InternalThread {
         size_t solver_rank, size_t parser_threads, size_t parser_thread_id, size_t batch_size_,
         bool cache, bool shuffle, bool epoch_count_required);
     ~CursorManager();
-    void next(shared_ptr<Datum>& datum);
-    void fetch(Datum* datum);
+    void next(shared_ptr<DatumType>& datum);
+    void fetch(DatumType* datum);
     void rewind();
 
     size_t full_cycle() const {
@@ -66,8 +67,8 @@ class DataReader : public InternalThread {
       return data_cache_inst_.get();
     }
 
-    shared_ptr<Datum>& next_new();
-    shared_ptr<Datum>& next_cached(DataReader& reader);
+    shared_ptr<DatumType>& next_new();
+    shared_ptr<DatumType>& next_cached(DataReader& reader);
     bool check_memory();
     void check_db(const std::string& db_source) {
       std::lock_guard<std::mutex> lock(cache_mutex_);
@@ -92,7 +93,7 @@ class DataReader : public InternalThread {
           just_cached_(false) {}
 
     std::string db_source_;
-    vector<shared_ptr<Datum>> cache_buffer_;
+    vector<shared_ptr<DatumType>> cache_buffer_;
     size_t cache_idx_;
     boost::barrier cache_bar_;
     bool shuffle_;
@@ -120,37 +121,37 @@ class DataReader : public InternalThread {
     start_reading_flag_.set();
   }
 
-  void free_push(size_t queue_id, const shared_ptr<Datum>& datum) {
+  void free_push(size_t queue_id, const shared_ptr<DatumType>& datum) {
     if (!sample_only_) {
       free_[queue_id]->push(datum);
     }
   }
 
-  shared_ptr<Datum> free_pop(size_t queue_id) {
+  shared_ptr<DatumType> free_pop(size_t queue_id) {
     return free_[queue_id]->pop();
   }
 
-  shared_ptr<Datum> sample() {
+  shared_ptr<DatumType> sample() {
     return init_->peek();
   }
 
-  void full_push(size_t queue_id, const shared_ptr<Datum>& datum) {
+  void full_push(size_t queue_id, const shared_ptr<DatumType>& datum) {
     full_[queue_id]->push(datum);
   }
 
-  shared_ptr<Datum> full_peek(size_t queue_id) {
+  shared_ptr<DatumType> full_peek(size_t queue_id) {
     return full_[queue_id]->peek();
   }
 
-  shared_ptr<Datum> full_pop(size_t queue_id, const char* log_on_wait) {
+  shared_ptr<DatumType> full_pop(size_t queue_id, const char* log_on_wait) {
     return full_[queue_id]->pop(log_on_wait);
   }
 
-  shared_ptr<Datum>& next_new() {
+  shared_ptr<DatumType>& next_new() {
     return data_cache_->next_new();
   }
 
-  shared_ptr<Datum>& next_cached() {
+  shared_ptr<DatumType>& next_cached() {
     return data_cache_->next_cached(*this);
   }
 
@@ -174,9 +175,9 @@ class DataReader : public InternalThread {
   const bool skip_one_batch_;
   DataParameter_DB backend_;
 
-  shared_ptr<BlockingQueue<shared_ptr<Datum>>> init_;
-  vector<shared_ptr<BlockingQueue<shared_ptr<Datum>>>> free_;
-  vector<shared_ptr<BlockingQueue<shared_ptr<Datum>>>> full_;
+  shared_ptr<BlockingQueue<shared_ptr<DatumType>>> init_;
+  vector<shared_ptr<BlockingQueue<shared_ptr<DatumType>>>> free_;
+  vector<shared_ptr<BlockingQueue<shared_ptr<DatumType>>>> full_;
 
  private:
   int current_rec_;
@@ -192,6 +193,10 @@ class DataReader : public InternalThread {
   DISABLE_COPY_MOVE_AND_ASSIGN(DataReader);
 };
 
+template <typename DatumType>
+unique_ptr<typename DataReader<DatumType>::DataCache>
+    DataReader<DatumType>::DataCache::data_cache_inst_;
+
 }  // namespace caffe
 
 #endif  // CAFFE_DATA_READER_HPP_
diff --git a/include/caffe/data_transformer.hpp b/include/caffe/data_transformer.hpp
index 3d2658d7af2..853a1f281c8 100644
--- a/include/caffe/data_transformer.hpp
+++ b/include/caffe/data_transformer.hpp
@@ -11,24 +11,31 @@
 #include "caffe/util/blocking_queue.hpp"
 #include "caffe/util/io.hpp"
 
+#include "google/protobuf/repeated_field.h"
+using google::protobuf::RepeatedPtrField;
+
 namespace caffe {
 
 /**
  * @brief Applies common transformations to the input data, such as
- * scaling, mirroring, substracting the image mean...
+ * scaling, mirroring, subtracting the image mean...
  */
+template<typename Dtype>
 class DataTransformer {
  public:
   DataTransformer(const TransformationParameter& param, Phase phase);
   ~DataTransformer() = default;
 
+  const TransformationParameter& transform_param() const {
+    return param_;
+  }
+
   /**
    * @brief Initialize the Random number generations if needed by the
    *    transformation.
    */
   void InitRand();
 
-  template<typename Dtype>
   void TransformGPU(int N, int C, int H, int W, size_t sizeof_element,
       const void* in, Dtype* out, const unsigned int* rands, bool signed_data);
 
@@ -45,42 +52,8 @@ class DataTransformer {
    *    shape. If nullptr passed then only shape vector is computed.
    * @return Output shape
    */
-  template<typename Dtype>
   vector<int> Transform(const Datum* datum, Dtype* buf, size_t buf_len,
-      Packing& out_packing, bool repack = true) {
-    vector<int> shape;
-    const bool shape_only = buf == nullptr;
-    CHECK(!(param_.force_color() && param_.force_gray()))
-        << "cannot set both force_color and force_gray";
-    const int color_mode = param_.force_color() ? 1 : (param_.force_gray() ? -1 : 0);
-    cv::Mat img;
-    bool v1_path = false;
-    if (datum->encoded()) {
-      shape = DecodeDatumToCVMat(*datum, color_mode, img, shape_only, false);
-      out_packing = NHWC;
-    } else {
-      if (image_random_resize_enabled() || buf == nullptr || buf_len == 0UL) {
-        shape = DatumToCVMat(*datum, img, shape_only);
-        out_packing = NHWC;
-      } else {
-        // here we can use fast V1 path
-        TransformV1(*datum, buf, buf_len);
-        shape = vector<int>{1, datum->channels(), datum->height(), datum->width()};
-        v1_path = true;
-        out_packing = NCHW;
-      }
-    }
-    if (param_.crop_size() > 0) {
-      shape[2] = param_.crop_size();
-      shape[3] = param_.crop_size();
-    }
-    if (!shape_only && !v1_path) {
-      CHECK_NOTNULL(img.data);
-      Transform(img, buf, buf_len, repack);
-      out_packing = NHWC;
-    }
-    return shape;
-  }
+      Packing& out_packing, bool repack = true);
 
   /**
    * @brief Applies transformations defined in the image data layer's
@@ -94,96 +67,23 @@ class DataTransformer {
    *    The destination array that will store transformed data of a fixed
    *    shape.
    */
-  template<typename Dtype>
-  void Transform(const cv::Mat& src, Dtype* buf, size_t buf_len, bool repack = true) {
-    cv::Mat tmp, dst;
-
-    image_random_resize(src, tmp);
-
-    if (image_random_crop_enabled()) {
-      image_random_crop(param_.crop_size(), param_.crop_size(), tmp);  // TODO
-    } else if (image_center_crop_enabled()) {
-      image_center_crop(param_.crop_size(), param_.crop_size(), tmp);
-    }
-    apply_mean_scale_mirror(tmp, dst);
-    FloatCVMatToBuf<Dtype>(dst, buf_len, buf, repack);
-  }
+  void Transform(const cv::Mat& src, Dtype* buf, size_t buf_len, bool repack = true) const;
 
-  /**
-   * @brief Applies the transformation defined in the data layer's
-   * transform_param block to a vector of Mat.
-   *
-   * @param mat_vector
-   *    A vector of Mat containing the data to be transformed.
-   * @param transformed_blob
-   *    This is destination blob. It can be part of top blob's data if
-   *    set_cpu_data() is used. See memory_layer.cpp for an example.
-   */
-  template<typename Dtype>
-  void Transform(const vector<cv::Mat>& mat_vector, TBlob<Dtype>* transformed_blob) {
-    const size_t mat_num = mat_vector.size();
-    const int num = transformed_blob->num();
-    CHECK_GT(mat_num, 0) << "There is no MAT to add";
-    CHECK_EQ(mat_num, num) << "The size of mat_vector must be equals to transformed_blob->num()";
-    cv::Mat dst;
-    size_t buf_len = transformed_blob->offset(1);
-    for (size_t item_id = 0; item_id < mat_num; ++item_id) {
-      size_t offset = transformed_blob->offset(item_id);
-      apply_mean_scale_mirror(mat_vector[item_id], dst);
-      FloatCVMatToBuf<Dtype>(dst, buf_len, transformed_blob->mutable_cpu_data(false) + offset);
-    }
-  }
+  void Transform(const cv::Mat& img, TBlob<Dtype> *transformed_blob) const;
 
-  template<typename Dtype>
-  void Transform(const cv::Mat& img, TBlob<Dtype> *transformed_blob) {
-    const int crop_size = param_.crop_size();
-    const int img_channels = img.channels();
-    const int img_height = img.rows;
-    const int img_width = img.cols;
-
-    // Check dimensions.
-    const int channels = transformed_blob->channels();
-    const int height = transformed_blob->height();
-    const int width = transformed_blob->width();
-    const int num = transformed_blob->num();
-
-    CHECK_EQ(channels, img_channels);
-    CHECK_LE(height, img_height);
-    CHECK_LE(width, img_width);
-    CHECK_GE(num, 1);
-    // TODO
-    if (crop_size > 0) {
-      CHECK_EQ(crop_size, height);
-      CHECK_EQ(crop_size, width);
-    }
-    Transform(img, transformed_blob->mutable_cpu_data(false), transformed_blob->count());
-  }
+    /**
+     * @brief Applies the transformation defined in the data layer's
+     * transform_param block to a vector of Mat.
+     *
+     * @param mat_vector
+     *    A vector of Mat containing the data to be transformed.
+     * @param transformed_blob
+     *    This is destination blob. It can be part of top blob's data if
+     *    set_cpu_data() is used. See memory_layer.cpp for an example.
+     */
+  void Transform(const vector<cv::Mat>& mat_vector, TBlob<Dtype>* transformed_blob) const;
 
-  /**
-   * @brief Applies the transformation defined in the data layer's
-   * transform_param block to a vector of Datum.
-   *
-   * @param datum_vector
-   *    A vector of Datum containing the data to be transformed.
-   * @param transformed_blob
-   *    This is destination blob. It can be part of top blob's data if
-   *    set_cpu_data() is used. See memory_layer.cpp for an example.
-   */
-  template<typename Dtype>
-  void Transform(const vector<Datum>& datum_vector, TBlob<Dtype>* transformed_blob) {
-    const size_t datum_num = datum_vector.size();
-    const int num = transformed_blob->num();
-    CHECK_GT(datum_num, 0) << "There is no datum to add";
-    CHECK_LE(datum_num, num)
-      << "The size of datum_vector must be not greater than transformed_blob->num()";
-    cv::Mat dst;
-    size_t buf_len = transformed_blob->offset(1);
-    for (size_t item_id = 0; item_id < datum_num; ++item_id) {
-      size_t offset = transformed_blob->offset(item_id);
-      DatumToCVMat(datum_vector[item_id], dst, false);
-      FloatCVMatToBuf<Dtype>(dst, buf_len, transformed_blob->mutable_cpu_data(false) + offset);
-    }
-  }
+  void Transform(const vector<Datum>& datum_vector, TBlob<Dtype> *transformed_blob) const;
 
   /**
    * @brief Generates a random integer from Uniform({0, 1, ..., n-1}).
@@ -199,173 +99,194 @@ class DataTransformer {
   }
 
   // tests only, TODO: clean
-  template<typename Dtype>
-  void Transform(Datum& datum, TBlob<Dtype>* transformed_blob) {
+  void Transform(const Datum& datum, TBlob<Dtype>* transformed_blob) const {
     cv::Mat img;
     DatumToCVMat(datum, img, false);
     Transform(img, transformed_blob);
   }
 
-  void VariableSizedTransforms(Datum* datum);
   void Fill3Randoms(unsigned int *rand) const;
 
- protected:
+  void TransformInv(const Blob* blob, vector<cv::Mat>* cv_imgs);
+  void TransformInv(const Dtype* data, cv::Mat* cv_img, const int height,
+      const int width, const int channels);
+
+  vector<int> InferBlobShape(const cv::Mat& cv_img);
+  vector<int> InferDatumShape(const Datum& datum);
+  vector<int> InferCVMatShape(const cv::Mat& img);
+
+  /**
+   * @brief Infers the shape of transformed_blob will have when
+   *    the transformation is applied to the data.
+   *
+   * @param bottom_shape
+   *    The shape of the data to be transformed.
+   */
+  vector<int> InferBlobShape(const vector<int>& bottom_shape, bool use_gpu = false);
+
+  /**
+   * @brief Infers the shape of transformed_blob will have when
+   *    the transformation is applied to the data.
+   *
+   * @param datum
+   *    Datum containing the data to be transformed.
+   */
+  vector<int> InferBlobShape(const Datum& datum);
+
+  /**
+   * @brief Crops the datum according to bbox.
+   */
+
+  void CropImage(const Datum& datum, const NormalizedBBox& bbox, Datum* crop_datum);
+
+  /**
+   * @brief Crops the datum and AnnotationGroup according to bbox.
+   */
+  void CropImage(const AnnotatedDatum& anno_datum, const NormalizedBBox& bbox,
+                 AnnotatedDatum* cropped_anno_datum);
+
+  /**
+   * @brief Expand the datum.
+   */
+  void ExpandImage(const Datum& datum, const float expand_ratio,
+                   NormalizedBBox* expand_bbox, Datum* expanded_datum);
+
+  /**
+   * @brief Expand the datum and adjust AnnotationGroup.
+   */
+  void ExpandImage(const AnnotatedDatum& anno_datum, AnnotatedDatum* expanded_anno_datum);
+
+  /**
+   * @brief Apply distortion to the datum.
+   */
+  void DistortImage(const Datum& datum, Datum* distort_datum);
+
+  /**
+   * @brief Applies the transformation defined in the data layer's
+   * transform_param block to the annotated data.
+   *
+   * @param anno_datum
+   *    AnnotatedDatum containing the data and annotation to be transformed.
+   * @param transformed_blob
+   *    This is destination blob. It can be part of top blob's data if
+   *    set_cpu_data() is used. See annotated_data_layer.cpp for an example.
+   * @param transformed_anno_vec
+   *    This is destination annotation.
+   */
+  void Transform(const AnnotatedDatum& anno_datum,
+                 TBlob<Dtype>* transformed_blob,
+                 RepeatedPtrField<AnnotationGroup>* transformed_anno_vec);
+
+  void Transform(const AnnotatedDatum& anno_datum,
+                 TBlob<Dtype>* transformed_blob,
+                 RepeatedPtrField<AnnotationGroup>* transformed_anno_vec,
+                 bool* do_mirror);
+
+  void Transform(const AnnotatedDatum& anno_datum,
+                 TBlob<Dtype>* transformed_blob,
+                 vector<AnnotationGroup>* transformed_anno_vec,
+                 bool* do_mirror);
+
+  void Transform(const AnnotatedDatum& anno_datum,
+                 TBlob<Dtype>* transformed_blob,
+                 vector<AnnotationGroup>* transformed_anno_vec);
+
   bool image_random_resize_enabled() const;
-  bool image_random_crop_enabled() const;
   bool image_center_crop_enabled() const;
+  bool image_random_crop_enabled() const;
+  void image_random_resize(const cv::Mat& src, cv::Mat& dst) const;
+  void image_center_crop(int crop_w, int crop_h, cv::Mat& img) const;
+  void image_random_crop(int crop_w, int crop_h, cv::Mat& img) const;
 
-  void apply_mean_scale_mirror(const cv::Mat& src, cv::Mat& dst);
-  void image_random_crop(int crop_w, int crop_h, cv::Mat& img);
-
-  template<typename Dtype>
-  void TransformV1(const Datum& datum, Dtype* buf, size_t buf_len) {
-    const string& data = datum.data();
-    const int datum_channels = datum.channels();
-    const int datum_height = datum.height();
-    const int datum_width = datum.width();
-
-    const int crop_size = param_.crop_size();
-    const float scale = param_.scale();
-    const bool do_mirror = param_.mirror() && (Rand() % 2);
-    const bool has_mean_file = param_.has_mean_file();
-    const bool has_uint8 = data.size() > 0;
-    const bool has_mean_values = mean_values_.size() > 0;
-
-    CHECK_GT(datum_channels, 0);
-    CHECK_GE(datum_height, crop_size);
-    CHECK_GE(datum_width, crop_size);
-
-    const float* mean = NULL;
-    if (has_mean_file) {
-      CHECK_EQ(datum_channels, data_mean_.channels());
-      CHECK_EQ(datum_height, data_mean_.height());
-      CHECK_EQ(datum_width, data_mean_.width());
-      mean = data_mean_.cpu_data();
-    }
-    if (has_mean_values) {
-      CHECK(mean_values_.size() == 1 || mean_values_.size() == datum_channels)
-          << "Specify either 1 mean_value or as many as channels: " << datum_channels;
-      if (datum_channels > 1 && mean_values_.size() == 1) {
-        // Replicate the mean_value for simplicity
-        for (int c = 1; c < datum_channels; ++c) {
-          mean_values_.push_back(mean_values_[0]);
-        }
-      }
-    }
-
-    int height = datum_height;
-    int width = datum_width;
-
-    int h_off = 0;
-    int w_off = 0;
-    if (crop_size) {
-      height = crop_size;
-      width = crop_size;
-      // We only do random crop when we do training.
-      if (phase_ == TRAIN) {
-        h_off = Rand() % (datum_height - crop_size + 1);
-        w_off = Rand() % (datum_width - crop_size + 1);
-      } else {
-        h_off = (datum_height - crop_size) / 2;
-        w_off = (datum_width - crop_size) / 2;
-      }
-    }
-
-    int top_index, data_index, ch, cdho;
-    const int m = do_mirror ? -1 : 1;
-
-    if (has_uint8) {
-      float datum_element, mnv;
-
-      if (scale == 1.F) {
-        for (int c = 0; c < datum_channels; ++c) {
-          cdho = c * datum_height + h_off;
-          ch = c * height;
-          mnv = has_mean_values && !has_mean_file ? mean_values_[c] : 0.F;
-          for (int h = 0; h < height; ++h) {
-            top_index = do_mirror ? (ch + h + 1) * width - 1 : (ch + h) * width;
-            data_index = (cdho + h) * datum_width + w_off;
-            for (int w = 0; w < width; ++w) {
-              datum_element = static_cast<unsigned char>(data[data_index]);
-              if (has_mean_file) {
-                buf[top_index] = datum_element - mean[data_index];
-              } else {
-                if (has_mean_values) {
-                  buf[top_index] = datum_element - mnv;
-                } else {
-                  buf[top_index] = datum_element;
-                }
-              }
-              ++data_index;
-              top_index += m;
-            }
-          }
-        }
-      } else {
-        for (int c = 0; c < datum_channels; ++c) {
-          cdho = c * datum_height + h_off;
-          ch = c * height;
-          mnv = has_mean_values && !has_mean_file ? mean_values_[c] : 0.F;
-          for (int h = 0; h < height; ++h) {
-            top_index = do_mirror ? (ch + h + 1) * width - 1 : (ch + h) * width;
-            data_index = (cdho + h) * datum_width + w_off;
-            for (int w = 0; w < width; ++w) {
-              datum_element = static_cast<unsigned char>(data[data_index]);
-              if (has_mean_file) {
-                buf[top_index] = (datum_element - mean[data_index]) * scale;
-              } else {
-                if (has_mean_values) {
-                  buf[top_index] = (datum_element - mnv) * scale;
-                } else {
-                  buf[top_index] = datum_element * scale;
-                }
-              }
-              ++data_index;
-              top_index += m;
-            }
-          }
-        }
-      }
-    } else {
-      float datum_element;
-      for (int c = 0; c < datum_channels; ++c) {
-        cdho = c * datum_height + h_off;
-        ch = c * height;
-        for (int h = 0; h < height; ++h) {
-          top_index = do_mirror ? (ch + h + 1) * width - 1 : (ch + h) * width;
-          data_index = (cdho + h) * datum_width + w_off;
-          for (int w = 0; w < width; ++w) {
-            datum_element = datum.float_data(data_index);
-            if (has_mean_file) {
-              buf[top_index] = (datum_element - mean[data_index]) * scale;
-            } else {
-              if (has_mean_values) {
-                buf[top_index] = (datum_element - mean_values_[c]) * scale;
-              } else {
-                buf[top_index] = datum_element * scale;
-              }
-            }
-            ++data_index;
-            top_index += m;
-          }
-        }
-      }
-    }
-  }
+ protected:
+  void apply_mean_scale_mirror(const cv::Mat& src, cv::Mat& dst) const;
+
+  void TransformV1(const Datum& datum, Dtype* buf, size_t buf_len);
 
-  void image_random_resize(const cv::Mat& src, cv::Mat& dst);
-  static void image_center_crop(int crop_w, int crop_h, cv::Mat& img);
   unsigned int Rand() const;
   float Rand(float lo, float up) const;
 
+  void Copy(const Datum& datum, Dtype* data, size_t& out_sizeof_element);
+  void Copy(const cv::Mat& datum, Dtype* data);
+
+  /**
+   * @brief Transform the annotation according to the transformation applied
+   * to the datum.
+   *
+   * @param anno_datum
+   *    AnnotatedDatum containing the data and annotation to be transformed.
+   * @param do_resize
+   *    If true, resize the annotation accordingly before crop.
+   * @param crop_bbox
+   *    The cropped region applied to anno_datum.datum()
+   * @param do_mirror
+   *    If true, meaning the datum has mirrored.
+   * @param transformed_anno_group_all
+   *    Stores all transformed AnnotationGroup.
+   */
+  void TransformAnnotation(
+      const AnnotatedDatum& anno_datum, const bool do_resize,
+      const NormalizedBBox& crop_bbox, const bool do_mirror,
+      RepeatedPtrField<AnnotationGroup>* transformed_anno_group_all);
+
+
+  /**
+   * @brief Applies the transformation defined in the data layer's
+   * transform_param block to a cv::Mat
+   *
+   * @param cv_img
+   *    cv::Mat containing the data to be transformed.
+   * @param transformed_blob
+   *    This is destination blob. It can be part of top blob's data if
+   *    set_cpu_data() is used. See image_data_layer.cpp for an example.
+   */
+  void Transform(const cv::Mat& cv_img, TBlob<Dtype>* transformed_blob,
+                 NormalizedBBox* crop_bbox, bool* do_mirror);
+
+  /**
+   * @brief Crops img according to bbox.
+   */
+  void CropImage(const cv::Mat& img, const NormalizedBBox& bbox, cv::Mat* crop_img);
+
+  /**
+   * @brief Expand img to include mean value as background.
+   */
+  void ExpandImage(const cv::Mat& img, const float expand_ratio,
+                   NormalizedBBox* expand_bbox, cv::Mat* expand_img);
+
+  /**
+   * @brief Infers the shape of transformed_blob will have when
+   *    the transformation is applied to the data.
+   *    It uses the first element to infer the shape of the blob.
+   *
+   * @param datum_vector
+   *    A vector of Datum containing the data to be transformed.
+   */
+  vector<int> InferBlobShape(const vector<Datum> & datum_vector);
+
+  void Transform(const Datum& datum,
+      Dtype *transformed_data, const std::array<unsigned int, 3>& rand);
+
+ protected:
+  // Transform and return the transformation information.
+  void Transform(const Datum& datum, Dtype* transformed_data,
+                 NormalizedBBox* crop_bbox, bool* do_mirror);
+  /**
+   * @brief Applies the transformation defined in the data layer's
+   * transform_param block to the data and return transform information.
+   */
+  void Transform(const Datum& datum, TBlob<Dtype>* transformed_blob,
+                 NormalizedBBox* crop_bbox, bool* do_mirror);
+
   // Tranformation parameters
   TransformationParameter param_;
   shared_ptr<Caffe::RNG> rng_;
   Phase phase_;
   TBlob<float> data_mean_;
   vector<float> mean_values_;
-  cv::Mat mean_mat_orig_, mean_mat_;
-  cv::Mat tmp_;
+  cv::Mat mean_mat_orig_;
+  mutable cv::Mat mean_mat_;
+  mutable cv::Mat tmp_;
 
   const float rand_resize_ratio_lower_, rand_resize_ratio_upper_;
   const float vertical_stretch_lower_;
diff --git a/include/caffe/layer.hpp b/include/caffe/layer.hpp
index 6b1bf079b86..ca71ec08051 100644
--- a/include/caffe/layer.hpp
+++ b/include/caffe/layer.hpp
@@ -137,7 +137,7 @@ class LayerBase {
 
   // Iteration counter maintained by Solver
   int iter() const;
-  int relative_iter() const;
+  int parent_rank() const;
 
   Net* parent_net() {
     return parent_net_;
@@ -567,16 +567,11 @@ inline float Layer<Ftype, Btype>::Forward(const vector<Blob*>& bottom, const vec
       for (int top_id = 0; top_id < top.size(); ++top_id) {
         if (this->loss(top_id) == 0.F) { continue; }
         const int count = top[top_id]->count();
-        if (count < 16 && is_precise<Ftype>()) {
-          loss += caffe_cpu_dot(count, top[top_id]->cpu_data<Ftype>(),
-              top[top_id]->cpu_diff<Ftype>());
-        } else {
-          const Ftype* data = top[top_id]->gpu_data<Ftype>();
-          const Ftype* loss_weights = top[top_id]->gpu_diff<Ftype>();
-          float blob_loss = 0.F;
-          caffe_gpu_dot(count, data, loss_weights, &blob_loss);
-          loss += blob_loss;
-        }
+        const Ftype* data = top[top_id]->gpu_data<Ftype>();
+        const Ftype* loss_weights = top[top_id]->gpu_diff<Ftype>();
+        float blob_loss = 0.F;
+        caffe_gpu_dot(count, data, loss_weights, &blob_loss);
+        loss += blob_loss;
       }
       break;
     default:
diff --git a/include/caffe/layers/accuracy_layer.hpp b/include/caffe/layers/accuracy_layer.hpp
index 4b2009fedaa..08990f4e297 100644
--- a/include/caffe/layers/accuracy_layer.hpp
+++ b/include/caffe/layers/accuracy_layer.hpp
@@ -28,17 +28,16 @@ class AccuracyLayer : public Layer<Ftype, Btype> {
    */
   explicit AccuracyLayer(const LayerParameter& param)
       : Layer<Ftype, Btype>(param) {}
-  virtual void LayerSetUp(const vector<Blob*>& bottom,
-      const vector<Blob*>& top);
-  virtual void Reshape(const vector<Blob*>& bottom,
-      const vector<Blob*>& top);
+  void LayerSetUp(const vector<Blob*>& bottom, const vector<Blob*>& top) override;
+  void Reshape(const vector<Blob*>& bottom, const vector<Blob*>& top) override;
 
-  virtual inline const char* type() const { return "Accuracy"; }
-  virtual inline int ExactNumBottomBlobs() const { return 2; }
+  inline const char* type() const override { return "Accuracy"; }
+  inline int ExactNumBottomBlobs() const override { return 2; }
 
   // If there are two top blobs, then the second blob will contain
   // accuracies per class.
-  virtual inline int MinTopBlobs() const { return 1; }
+  inline int MinTopBlobs() const override { return 1; }
+  inline int MaxTopBlobs() const override { return 2; }
 
  protected:
   /**
@@ -65,16 +64,18 @@ class AccuracyLayer : public Layer<Ftype, Btype> {
    *         \end{array} \right.
    *      @f$
    */
-  virtual void Forward_cpu(const vector<Blob*>& bottom,
-      const vector<Blob*>& top);
+  void Forward_cpu(const vector<Blob*>& bottom, const vector<Blob*>& top) override;
+  void Forward_gpu(const vector<Blob*>& bottom, const vector<Blob*>& top) override;
 
   /// @brief Not implemented -- AccuracyLayer cannot be used as a loss.
-  virtual void Backward_cpu(const vector<Blob*>& top,
-      const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
+  void Backward_cpu(const vector<Blob*>& top,
+      const vector<bool>& propagate_down, const vector<Blob*>& bottom) override {
     for (int i = 0; i < propagate_down.size(); ++i) {
       if (propagate_down[i]) { NOT_IMPLEMENTED; }
     }
   }
+  void Backward_gpu(const vector<Blob*>& top,
+      const vector<bool>& propagate_down, const vector<Blob*>& bottom) override;
 
   int label_axis_, outer_num_, inner_num_;
   int top_k_;
diff --git a/include/caffe/layers/annotated_data_layer.hpp b/include/caffe/layers/annotated_data_layer.hpp
new file mode 100644
index 00000000000..bdaf95b638d
--- /dev/null
+++ b/include/caffe/layers/annotated_data_layer.hpp
@@ -0,0 +1,51 @@
+#ifndef CAFFE_ANNOTATED_DATA_LAYER_HPP_
+#define CAFFE_ANNOTATED_DATA_LAYER_HPP_
+
+#include <string>
+#include <map>
+#include <vector>
+#include <atomic>
+
+#include "caffe/blob.hpp"
+#include "caffe/data_reader.hpp"
+#include "caffe/data_transformer.hpp"
+#include "caffe/internal_thread.hpp"
+#include "caffe/layer.hpp"
+#include "caffe/layers/data_layer.hpp"
+#include "caffe/proto/caffe.pb.h"
+#include "caffe/util/db.hpp"
+
+namespace caffe {
+
+template <typename Ftype, typename Btype>
+class AnnotatedDataLayer : public DataLayer<Ftype, Btype> {
+ public:
+  AnnotatedDataLayer(const LayerParameter& param, size_t solver_rank);
+  void DataLayerSetUp(const vector<Blob*>& bottom, const vector<Blob*>& top) override;
+
+  const char* type() const override {
+    return "AnnotatedData";
+  }
+  int ExactNumBottomBlobs() const override {
+    return 0;
+  }
+  int MinTopBlobs() const override {
+    return 1;
+  }
+
+ protected:
+  void load_batch(Batch* batch, int thread_id, size_t queue_id) override;
+  void start_reading() override {
+    areader_->start_reading();
+  }
+
+  std::shared_ptr<DataReader<AnnotatedDatum>> sample_areader_, areader_;
+  bool has_anno_type_;
+  AnnotatedDatum_AnnotationType anno_type_;
+  vector<BatchSampler> batch_samplers_;
+  string label_map_file_;
+};
+
+}  // namespace caffe
+
+#endif  // CAFFE_DATA_LAYER_HPP_
diff --git a/include/caffe/layers/base_data_layer.hpp b/include/caffe/layers/base_data_layer.hpp
index 77053042be2..a25b52956d0 100644
--- a/include/caffe/layers/base_data_layer.hpp
+++ b/include/caffe/layers/base_data_layer.hpp
@@ -61,8 +61,11 @@ class BasePrefetchingDataLayer : public BaseDataLayer<Ftype, Btype>, public Inte
   void Forward_cpu(const vector<Blob*>& bottom, const vector<Blob*>& top) override;
   void Forward_gpu(const vector<Blob*>& bottom, const vector<Blob*>& top) override;
 
-  DataTransformer* dt(int id) {
-    return data_transformers_.at(id).get();
+  DataTransformer<Btype>* bdt(int id) {
+    return bwd_data_transformers_.at(id).get();
+  }
+  DataTransformer<Ftype>* fdt(int id) {
+    return fwd_data_transformers_.at(id).get();
   }
 
   bool is_gpu_transform() const override {
@@ -110,18 +113,23 @@ class BasePrefetchingDataLayer : public BaseDataLayer<Ftype, Btype>, public Inte
   static bool auto_mode(const LayerParameter& param);
 
   std::vector<size_t> batch_ids_;
-  const bool auto_mode_;
+  bool auto_mode_;
   size_t parsers_num_, transf_num_, queues_num_;
 
   // These two are for delayed init only
   std::vector<Blob*> bottom_init_;
   std::vector<Blob*> top_init_;
 
-  vector<shared_ptr<DataTransformer>> data_transformers_;
+  // Use Btype as a transformer type (i.e. better float 32)
+  // since data layers don't have bottom channels
+  std::vector<shared_ptr<DataTransformer<Btype>>> bwd_data_transformers_;
+  // TransformGPU may do this in-place
+  std::vector<shared_ptr<DataTransformer<Ftype>>> fwd_data_transformers_;
 
-  boost::shared_ptr<BatchTransformer<Ftype, Btype>> batch_transformer_;
+  shared_ptr<BatchTransformer<Ftype, Btype>> batch_transformer_;
   std::vector<int> last_shape_;
   int batch_size_;
+  Flag iter0_;
 };
 
 }  // namespace caffe
diff --git a/include/caffe/layers/cudnn_conv_layer.hpp b/include/caffe/layers/cudnn_conv_layer.hpp
index 048ee558e60..2a79e127f99 100644
--- a/include/caffe/layers/cudnn_conv_layer.hpp
+++ b/include/caffe/layers/cudnn_conv_layer.hpp
@@ -43,11 +43,9 @@ class CuDNNConvolutionLayer : public ConvolutionLayer<Ftype, Btype> {
   static constexpr int ATTEMPTS_TO_RESERVE_WS = 3;
   static std::mutex m_;
 
-  static ThreadSafeMap<std::unordered_map<int, size_t>> ws_allocated_;
   static ThreadSafeMap<std::unordered_map<int, size_t>> train_mem_req_all_grps_;
   static ThreadSafeMap<std::unordered_map<int, size_t>> test_mem_req_all_grps_;
   static ThreadSafeMap<std::unordered_map<int, size_t>> train_tmp_weights_mem_;
-  static ThreadSafeMap<std::unordered_map<int, bool>> ws_released_;
 
  public:
   explicit CuDNNConvolutionLayer(const LayerParameter& param)
@@ -167,14 +165,14 @@ constexpr int CuDNNConvolutionLayer<Ftype, Btype>::ATTEMPTS_TO_RESERVE_WS;
 
 template<typename Ftype, typename Btype>
 std::mutex CuDNNConvolutionLayer<Ftype, Btype>::m_;
-template<typename Ftype, typename Btype>
-ThreadSafeMap<std::unordered_map<int, size_t>>
-CuDNNConvolutionLayer<Ftype, Btype>::ws_allocated_(
-    CuDNNConvolutionLayer<Ftype, Btype>::m_);
-template<typename Ftype, typename Btype>
-ThreadSafeMap<std::unordered_map<int, bool>>
-CuDNNConvolutionLayer<Ftype, Btype>::ws_released_(
-    CuDNNConvolutionLayer<Ftype, Btype>::m_);
+//template<typename Ftype, typename Btype>
+//ThreadSafeMap<std::unordered_map<int, size_t>>
+//CuDNNConvolutionLayer<Ftype, Btype>::ws_allocated_(
+//    CuDNNConvolutionLayer<Ftype, Btype>::m_);
+//template<typename Ftype, typename Btype>
+//ThreadSafeMap<std::unordered_map<int, bool>>
+//CuDNNConvolutionLayer<Ftype, Btype>::ws_released_(
+//    CuDNNConvolutionLayer<Ftype, Btype>::m_);
 template<typename Ftype, typename Btype>
 ThreadSafeMap<std::unordered_map<int, size_t>>
 CuDNNConvolutionLayer<Ftype, Btype>::train_mem_req_all_grps_(
diff --git a/include/caffe/layers/cudnn_deconv_layer.hpp b/include/caffe/layers/cudnn_deconv_layer.hpp
new file mode 100644
index 00000000000..9abdcd589ef
--- /dev/null
+++ b/include/caffe/layers/cudnn_deconv_layer.hpp
@@ -0,0 +1,69 @@
+#ifndef CAFFE_CUDNN_DECONV_LAYER_HPP_
+#define CAFFE_CUDNN_DECONV_LAYER_HPP_
+
+#include <vector>
+
+#include "caffe/blob.hpp"
+#include "caffe/layer.hpp"
+#include "caffe/proto/caffe.pb.h"
+
+#include "caffe/layers/deconv_layer.hpp"
+
+namespace caffe {
+
+#ifdef USE_CUDNN
+/*
+ * @brief cuDNN implementation of DeConvolutionLayer.
+ *        Fallback to DeConvolutionLayer for CPU mode.
+ *
+ * cuDNN accelerates deconvolution through forward kernels for filtering and
+ * bias plus backward kernels for the gradient w.r.t. the filters, biases, and
+ * inputs. Caffe + cuDNN further speeds up the computation through forward
+ * parallelism across groups and backward parallelism across gradients.
+*/
+template<typename Ftype, typename Btype>
+class CuDNNDeconvolutionLayer : public DeconvolutionLayer<Ftype, Btype> {
+ public:
+  explicit CuDNNDeconvolutionLayer(const LayerParameter& param)
+    : DeconvolutionLayer<Ftype, Btype>(param),
+      handles_setup_(false),
+      forward_math_(tpmax<Ftype, float>()),
+      backward_data_math_(tpmax<Btype, float>()),
+      backward_filter_math_(tpmax<Btype, float>()) {}
+  virtual ~CuDNNDeconvolutionLayer();
+  void LayerSetUp(const vector<Blob*>& bottom, const vector<Blob*>& top) override;
+  void Reshape(const vector<Blob*>& bottom, const vector<Blob*>& top) override;
+
+ protected:
+  void Forward_gpu(const vector<Blob*>& bottom, const vector<Blob*>& top) override;
+  void Backward_gpu(const vector<Blob*>& top, const vector<bool>& propagate_down,
+                    const vector<Blob*>& bottom) override;
+
+  bool handles_setup_;
+  cudnnHandle_t* handle_;
+  cudaStream_t*  stream_;
+
+  // algorithms for forward and backwards convolutions
+  cudnnConvolutionFwdAlgo_t *fwd_algo_;
+  cudnnConvolutionBwdFilterAlgo_t *bwd_filter_algo_;
+  cudnnConvolutionBwdDataAlgo_t *bwd_data_algo_;
+
+  vector<cudnnTensorDescriptor_t> bottom_descs_, top_descs_;
+  cudnnTensorDescriptor_t bias_desc_;
+  cudnnFilterDescriptor_t filter_desc_;
+  vector<cudnnConvolutionDescriptor_t> conv_descs_;
+  int bottom_offset_, top_offset_, bias_offset_;
+  Type forward_math_, backward_data_math_, backward_filter_math_;
+
+  size_t *workspace_fwd_sizes_;
+  size_t *workspace_bwd_data_sizes_;
+  size_t *workspace_bwd_filter_sizes_;
+  size_t workspaceSizeInBytes;  // size of underlying storage
+  void *workspaceData;  // underlying storage
+  void **workspace;  // aliases into workspaceData
+};
+#endif
+
+}  // namespace caffe
+
+#endif  // CAFFE_CUDNN_DECONV_LAYER_HPP_
diff --git a/include/caffe/layers/data_layer.hpp b/include/caffe/layers/data_layer.hpp
index 661d28441b2..49f63837936 100644
--- a/include/caffe/layers/data_layer.hpp
+++ b/include/caffe/layers/data_layer.hpp
@@ -57,12 +57,12 @@ class DataLayer : public BasePrefetchingDataLayer<Ftype, Btype> {
     reader_->start_reading();
   }
 
-  std::shared_ptr<DataReader> sample_reader_, reader_;
-  vector<shared_ptr<GPUMemory::Workspace>> tmp_gpu_buffer_;
+  std::shared_ptr<DataReader<Datum>> sample_reader_, reader_;
+  std::vector<shared_ptr<GPUMemory::Workspace>> tmp_gpu_buffer_;
 
   // stored random numbers for this batch
-  vector<shared_ptr<TBlob<unsigned int>>> random_vectors_;
-  mutable vector<size_t> parser_offsets_, queue_ids_;
+  std::vector<shared_ptr<TBlob<unsigned int>>> random_vectors_;
+  mutable std::vector<size_t> parser_offsets_, queue_ids_;
   Flag layer_inititialized_flag_;
   std::atomic_bool sample_only_;
   const bool cache_, shuffle_;
diff --git a/include/caffe/layers/detection_evaluate_layer.hpp b/include/caffe/layers/detection_evaluate_layer.hpp
new file mode 100644
index 00000000000..e783b0ac3c8
--- /dev/null
+++ b/include/caffe/layers/detection_evaluate_layer.hpp
@@ -0,0 +1,73 @@
+#ifndef CAFFE_DETECTION_EVALUATE_LAYER_HPP_
+#define CAFFE_DETECTION_EVALUATE_LAYER_HPP_
+
+#include <utility>
+#include <vector>
+
+#include "caffe/blob.hpp"
+#include "caffe/layer.hpp"
+#include "caffe/proto/caffe.pb.h"
+
+namespace caffe {
+
+/**
+ * @brief Generate the detection evaluation based on DetectionOutputLayer and
+ * ground truth bounding box labels.
+ *
+ * Intended for use with MultiBox detection method.
+ *
+ * NOTE: does not implement Backwards operation.
+ */
+template <typename Ftype, typename Btype>
+class DetectionEvaluateLayer : public Layer<Ftype, Btype> {
+  typedef Ftype Dtype;
+
+ public:
+  explicit DetectionEvaluateLayer(const LayerParameter& param)
+      : Layer<Ftype, Btype>(param) {}
+  virtual void LayerSetUp(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+  virtual void Reshape(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+
+  virtual inline const char* type() const { return "DetectionEvaluate"; }
+  virtual inline int ExactBottomBlobs() const { return 2; }
+  virtual inline int ExactNumTopBlobs() const { return 1; }
+
+ protected:
+  /**
+   * @brief Evaluate the detection output.
+   *
+   * @param bottom input Blob vector (exact 2)
+   *   -# @f$ (1 \times 1 \times N \times 7) @f$
+   *      N detection results.
+   *   -# @f$ (1 \times 1 \times M \times 7) @f$
+   *      M ground truth.
+   * @param top Blob vector (length 1)
+   *   -# @f$ (1 \times 1 \times N \times 4) @f$
+   *      N is the number of detections, and each row is:
+   *      [image_id, label, confidence, true_pos, false_pos]
+   */
+  virtual void Forward_cpu(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+  /// @brief Not implemented
+  virtual void Backward_cpu(const vector<Blob*>& top,
+      const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
+    NOT_IMPLEMENTED;
+  }
+
+  int num_classes_;
+  int background_label_id_;
+  float overlap_threshold_;
+  bool evaluate_difficult_gt_;
+  vector<pair<int, int> > sizes_;
+  int count_;
+  bool use_normalized_bbox_;
+
+  bool has_resize_;
+  ResizeParameter resize_param_;
+};
+
+}  // namespace caffe
+
+#endif  // CAFFE_DETECTION_EVALUATE_LAYER_HPP_
diff --git a/include/caffe/layers/detection_output_layer.hpp b/include/caffe/layers/detection_output_layer.hpp
new file mode 100644
index 00000000000..795f4264c83
--- /dev/null
+++ b/include/caffe/layers/detection_output_layer.hpp
@@ -0,0 +1,120 @@
+#ifndef CAFFE_DETECTION_OUTPUT_LAYER_HPP_
+#define CAFFE_DETECTION_OUTPUT_LAYER_HPP_
+
+#include "caffe/common.hpp"
+
+#include <boost/property_tree/json_parser.hpp>
+#include <boost/property_tree/ptree.hpp>
+#include <boost/regex.hpp>
+
+#include <map>
+#include <string>
+#include <utility>
+#include <vector>
+
+#include "caffe/blob.hpp"
+#include "caffe/data_transformer.hpp"
+#include "caffe/layer.hpp"
+#include "caffe/proto/caffe.pb.h"
+#include "caffe/util/bbox_util.hpp"
+
+using namespace boost::property_tree;  // NOLINT(build/namespaces)
+
+namespace caffe {
+
+/**
+ * @brief Generate the detection output based on location and confidence
+ * predictions by doing non maximum suppression.
+ *
+ * Intended for use with MultiBox detection method.
+ *
+ * NOTE: does not implement Backwards operation.
+ */
+template <typename Ftype, typename Btype>
+class DetectionOutputLayer : public Layer<Ftype, Btype> {
+ public:
+  explicit DetectionOutputLayer(const LayerParameter& param)
+      : Layer<Ftype, Btype>(param) {}
+  virtual void LayerSetUp(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+  virtual void Reshape(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+
+  virtual inline const char* type() const { return "DetectionOutput"; }
+  virtual inline int MinBottomBlobs() const { return 3; }
+  virtual inline int MaxBottomBlobs() const { return 4; }
+  virtual inline int ExactNumTopBlobs() const { return 1; }
+
+ protected:
+  /**
+   * @brief Do non maximum suppression (nms) on prediction results.
+   *
+   * @param bottom input Blob vector (at least 2)
+   *   -# @f$ (N \times C1 \times 1 \times 1) @f$
+   *      the location predictions with C1 predictions.
+   *   -# @f$ (N \times C2 \times 1 \times 1) @f$
+   *      the confidence predictions with C2 predictions.
+   *   -# @f$ (N \times 2 \times C3 \times 1) @f$
+   *      the prior bounding boxes with C3 values.
+   * @param top output Blob vector (length 1)
+   *   -# @f$ (1 \times 1 \times N \times 7) @f$
+   *      N is the number of detections after nms, and each row is:
+   *      [image_id, label, confidence, xmin, ymin, xmax, ymax]
+   */
+  virtual void Forward_cpu(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+  virtual void Forward_gpu(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+  /// @brief Not implemented
+  virtual void Backward_cpu(const vector<Blob*>& top,
+      const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
+    NOT_IMPLEMENTED;
+  }
+  virtual void Backward_gpu(const vector<Blob*>& top,
+      const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
+    NOT_IMPLEMENTED;
+  }
+
+  int num_classes_;
+  bool share_location_;
+  int num_loc_classes_;
+  int background_label_id_;
+  CodeType code_type_;
+  bool variance_encoded_in_target_;
+  int keep_top_k_;
+  float confidence_threshold_;
+
+  int num_;
+  int num_priors_;
+
+  float nms_threshold_;
+  int top_k_;
+  float eta_;
+
+  bool need_save_;
+  string output_directory_;
+  string output_name_prefix_;
+  string output_format_;
+  map<int, string> label_to_name_;
+  map<int, string> label_to_display_name_;
+  vector<string> names_;
+  vector<pair<int, int> > sizes_;
+  int num_test_image_;
+  int name_count_;
+  bool has_resize_;
+  ResizeParameter resize_param_;
+
+  ptree detections_;
+
+  bool visualize_;
+  float visualize_threshold_;
+  shared_ptr<DataTransformer<Ftype>> data_transformer_;
+  string save_file_;
+  TBlob<Ftype> bbox_preds_;
+  TBlob<Ftype> bbox_permute_;
+  TBlob<Ftype> conf_permute_;
+};
+
+}  // namespace caffe
+
+#endif  // CAFFE_DETECTION_OUTPUT_LAYER_HPP_
diff --git a/include/caffe/layers/loss_layer.hpp b/include/caffe/layers/loss_layer.hpp
index bd0659f3325..232ee742e4e 100644
--- a/include/caffe/layers/loss_layer.hpp
+++ b/include/caffe/layers/loss_layer.hpp
@@ -21,6 +21,8 @@ const float kLOG_THRESHOLD = 1e-20;
  */
 template <typename Ftype, typename Btype>
 class LossLayer : public Layer<Ftype, Btype> {
+  typedef Ftype Dtype;
+
  public:
   explicit LossLayer(const LayerParameter& param)
      : Layer<Ftype, Btype>(param) {}
@@ -29,6 +31,16 @@ class LossLayer : public Layer<Ftype, Btype> {
   virtual void Reshape(
       const vector<Blob*>& bottom, const vector<Blob*>& top);
 
+  /**
+   * Read the normalization mode parameter and compute the normalizer based
+   * on the blob size. If normalization_mode is VALID, the count of valid
+   * outputs will be read from valid_count, unless it is -1 in which case
+   * all outputs are assumed to be valid.
+   */
+  Ftype GetNormalizer(
+      const LossParameter_NormalizationMode normalization_mode,
+      const int outer_num, const int inner_num, const int valid_count);
+
   virtual inline int ExactNumBottomBlobs() const { return 2; }
 
   /**
diff --git a/include/caffe/layers/lstm_layer.hpp b/include/caffe/layers/lstm_layer.hpp
new file mode 100644
index 00000000000..402236f429e
--- /dev/null
+++ b/include/caffe/layers/lstm_layer.hpp
@@ -0,0 +1,149 @@
+#ifndef CAFFE_LSTM_LAYER_HPP_
+#define CAFFE_LSTM_LAYER_HPP_
+
+#include <string>
+#include <utility>
+#include <vector>
+
+#include "caffe/blob.hpp"
+#include "caffe/common.hpp"
+#include "caffe/layer.hpp"
+#include "caffe/layers/recurrent_layer.hpp"
+#include "caffe/net.hpp"
+#include "caffe/proto/caffe.pb.h"
+
+namespace caffe {
+
+/**
+ * @brief Processes sequential inputs using a "Long Short-Term Memory" (LSTM)
+ *        [1] style recurrent neural network (RNN). Implemented by unrolling
+ *        the LSTM computation through time.
+ *
+ * The specific architecture used in this implementation is as described in
+ * "Learning to Execute" [2], reproduced below:
+ *     i_t := \sigmoid[ W_{hi} * h_{t-1} + W_{xi} * x_t + b_i ]
+ *     f_t := \sigmoid[ W_{hf} * h_{t-1} + W_{xf} * x_t + b_f ]
+ *     o_t := \sigmoid[ W_{ho} * h_{t-1} + W_{xo} * x_t + b_o ]
+ *     g_t :=    \tanh[ W_{hg} * h_{t-1} + W_{xg} * x_t + b_g ]
+ *     c_t := (f_t .* c_{t-1}) + (i_t .* g_t)
+ *     h_t := o_t .* \tanh[c_t]
+ * In the implementation, the i, f, o, and g computations are performed as a
+ * single inner product.
+ *
+ * Notably, this implementation lacks the "diagonal" gates, as used in the
+ * LSTM architectures described by Alex Graves [3] and others.
+ *
+ * [1] Hochreiter, Sepp, and Schmidhuber, Jürgen. "Long short-term memory."
+ *     Neural Computation 9, no. 8 (1997): 1735-1780.
+ *
+ * [2] Zaremba, Wojciech, and Sutskever, Ilya. "Learning to execute."
+ *     arXiv preprint arXiv:1410.4615 (2014).
+ *
+ * [3] Graves, Alex. "Generating sequences with recurrent neural networks."
+ *     arXiv preprint arXiv:1308.0850 (2013).
+ */
+template<typename Ftype, typename Btype>
+class LSTMLayer : public RecurrentLayer<Ftype, Btype> {
+ public:
+  explicit LSTMLayer(const LayerParameter& param)
+      : RecurrentLayer<Ftype, Btype>(param) {}
+
+  virtual inline const char* type() const { return "LSTM"; }
+
+ protected:
+  void FillUnrolledNet(NetParameter* net_param) const override;
+  void RecurrentInputBlobNames(vector<string>* names) const override;
+  void RecurrentOutputBlobNames(vector<string>* names) const override;
+  void RecurrentInputShapes(vector<BlobShape>* shapes) const override;
+  void OutputBlobNames(vector<string>* names) const override;
+};
+
+/**
+ * @brief A helper for LSTMLayer: computes a single timestep of the
+ *        non-linearity of the LSTM, producing the updated cell and hidden
+ *        states.
+ */
+template<typename Ftype, typename Btype>
+class LSTMUnitLayer : public Layer<Ftype, Btype> {
+ public:
+  explicit LSTMUnitLayer(const LayerParameter& param)
+      : Layer<Ftype, Btype>(param), hidden_dim_(0), X_acts_(Blob::create<Ftype, Btype>()) {}
+  void Reshape(const vector<Blob*>& bottom, const vector<Blob*>& top) override;
+
+  const char* type() const override { return "LSTMUnit"; }
+  int ExactNumBottomBlobs() const override { return 3; }
+  int ExactNumTopBlobs() const override { return 2; }
+
+  bool AllowForceBackward(const int bottom_index) const override {
+    // Can't propagate to sequence continuation indicators.
+    return bottom_index != 2;
+  }
+
+ protected:
+  /**
+   * @param bottom input Blob vector (length 3)
+   *   -# @f$ (1 \times N \times D) @f$
+   *      the previous timestep cell state @f$ c_{t-1} @f$
+   *   -# @f$ (1 \times N \times 4D) @f$
+   *      the "gate inputs" @f$ [i_t', f_t', o_t', g_t'] @f$
+   *   -# @f$ (1 \times N) @f$
+   *      the sequence continuation indicators  @f$ \delta_t @f$
+   * @param top output Blob vector (length 2)
+   *   -# @f$ (1 \times N \times D) @f$
+   *      the updated cell state @f$ c_t @f$, computed as:
+   *          i_t := \sigmoid[i_t']
+   *          f_t := \sigmoid[f_t']
+   *          o_t := \sigmoid[o_t']
+   *          g_t := \tanh[g_t']
+   *          c_t := cont_t * (f_t .* c_{t-1}) + (i_t .* g_t)
+   *   -# @f$ (1 \times N \times D) @f$
+   *      the updated hidden state @f$ h_t @f$, computed as:
+   *          h_t := o_t .* \tanh[c_t]
+   */
+  void Forward_cpu(const vector<Blob*>& bottom, const vector<Blob*>& top) override;
+  void Forward_gpu(const vector<Blob*>& bottom, const vector<Blob*>& top) override;
+
+  /**
+   * @brief Computes the error gradient w.r.t. the LSTMUnit inputs.
+   *
+   * @param top output Blob vector (length 2), providing the error gradient with
+   *        respect to the outputs
+   *   -# @f$ (1 \times N \times D) @f$:
+   *      containing error gradients @f$ \frac{\partial E}{\partial c_t} @f$
+   *      with respect to the updated cell state @f$ c_t @f$
+   *   -# @f$ (1 \times N \times D) @f$:
+   *      containing error gradients @f$ \frac{\partial E}{\partial h_t} @f$
+   *      with respect to the updated cell state @f$ h_t @f$
+   * @param propagate_down see Layer::Backward.
+   * @param bottom input Blob vector (length 3), into which the error gradients
+   *        with respect to the LSTMUnit inputs @f$ c_{t-1} @f$ and the gate
+   *        inputs are computed.  Computatation of the error gradients w.r.t.
+   *        the sequence indicators is not implemented.
+   *   -# @f$ (1 \times N \times D) @f$
+   *      the error gradient w.r.t. the previous timestep cell state
+   *      @f$ c_{t-1} @f$
+   *   -# @f$ (1 \times N \times 4D) @f$
+   *      the error gradient w.r.t. the "gate inputs"
+   *      @f$ [
+   *          \frac{\partial E}{\partial i_t}
+   *          \frac{\partial E}{\partial f_t}
+   *          \frac{\partial E}{\partial o_t}
+   *          \frac{\partial E}{\partial g_t}
+   *          ] @f$
+   *   -# @f$ (1 \times 1 \times N) @f$
+   *      the gradient w.r.t. the sequence continuation indicators
+   *      @f$ \delta_t @f$ is currently not computed.
+   */
+  void Backward_cpu(const vector<Blob*>& top, const vector<bool>& propagate_down,
+                    const vector<Blob*>& bottom) override;
+  void Backward_gpu(const vector<Blob*>& top, const vector<bool>& propagate_down,
+                    const vector<Blob*>& bottom) override;
+
+  /// @brief The hidden and output dimension.
+  int hidden_dim_;
+  shared_ptr<Blob> X_acts_;
+};
+
+}  // namespace caffe
+
+#endif  // CAFFE_LSTM_LAYER_HPP_
diff --git a/include/caffe/layers/memory_data_layer.hpp b/include/caffe/layers/memory_data_layer.hpp
index 8bb75dfe718..e879e784ac2 100644
--- a/include/caffe/layers/memory_data_layer.hpp
+++ b/include/caffe/layers/memory_data_layer.hpp
@@ -21,7 +21,7 @@ class MemoryDataLayer : public BaseDataLayer<Ftype, Btype> {
  public:
   explicit MemoryDataLayer(const LayerParameter& param)
       : BaseDataLayer<Ftype, Btype>(param, 1), has_new_data_(false) {
-    dt_ = make_shared<DataTransformer>(this->transform_param_, this->phase_);
+    dt_ = make_shared<DataTransformer<Ftype>>(this->transform_param_, this->phase_);
   }
   virtual void DataLayerSetUp(const vector<Blob*>& bottom,
       const vector<Blob*>& top);
@@ -58,7 +58,7 @@ class MemoryDataLayer : public BaseDataLayer<Ftype, Btype> {
   TBlob<Ftype> added_data_;
   TBlob<Ftype> added_label_;
   bool has_new_data_;
-  shared_ptr<DataTransformer> dt_;
+  shared_ptr<DataTransformer<Ftype>> dt_;
 };
 
 }  // namespace caffe
diff --git a/include/caffe/layers/multibox_loss_layer.hpp b/include/caffe/layers/multibox_loss_layer.hpp
new file mode 100644
index 00000000000..e6295469189
--- /dev/null
+++ b/include/caffe/layers/multibox_loss_layer.hpp
@@ -0,0 +1,114 @@
+#ifndef CAFFE_MULTIBOX_LOSS_LAYER_HPP_
+#define CAFFE_MULTIBOX_LOSS_LAYER_HPP_
+
+#include <map>
+#include <utility>
+#include <vector>
+
+#include "caffe/blob.hpp"
+#include "caffe/layer.hpp"
+#include "caffe/proto/caffe.pb.h"
+#include "caffe/util/bbox_util.hpp"
+
+#include "caffe/layers/loss_layer.hpp"
+
+namespace caffe {
+
+/**
+ * @brief Perform MultiBox operations. Including the following:
+ *
+ *  - decode the predictions.
+ *  - perform matching between priors/predictions and ground truth.
+ *  - use matched boxes and confidences to compute loss.
+ *
+ */
+template <typename Ftype, typename Btype>
+class MultiBoxLossLayer : public LossLayer<Ftype, Btype> {
+  typedef Ftype Dtype;
+
+ public:
+  explicit MultiBoxLossLayer(const LayerParameter& param)
+      : LossLayer<Ftype, Btype>(param) {}
+  virtual void LayerSetUp(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+  virtual void Reshape(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+
+  virtual inline const char* type() const { return "MultiBoxLoss"; }
+  // bottom[0] stores the location predictions.
+  // bottom[1] stores the confidence predictions.
+  // bottom[2] stores the prior bounding boxes.
+  // bottom[3] stores the ground truth bounding boxes.
+  virtual inline int ExactNumBottomBlobs() const { return 4; }
+  virtual inline int ExactNumTopBlobs() const { return 1; }
+
+ protected:
+  virtual void Forward_cpu(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+  virtual void Backward_cpu(const vector<Blob*>& top,
+      const vector<bool>& propagate_down, const vector<Blob*>& bottom);
+
+  // The internal localization loss layer.
+  shared_ptr<LayerBase> loc_loss_layer_;
+  LocLossType loc_loss_type_;
+  float loc_weight_;
+  // bottom vector holder used in Forward function.
+  vector<Blob*> loc_bottom_vec_;
+  // top vector holder used in Forward function.
+  vector<Blob*> loc_top_vec_;
+  // blob which stores the matched location prediction.
+  TBlob<Dtype> loc_pred_;
+  // blob which stores the corresponding matched ground truth.
+  TBlob<Dtype> loc_gt_;
+  // localization loss.
+  TBlob<Dtype> loc_loss_;
+
+  // The internal confidence loss layer.
+  shared_ptr<LayerBase> conf_loss_layer_;
+  ConfLossType conf_loss_type_;
+  // bottom vector holder used in Forward function.
+  vector<Blob*> conf_bottom_vec_;
+  // top vector holder used in Forward function.
+  vector<Blob*> conf_top_vec_;
+  // blob which stores the confidence prediction.
+  TBlob<Dtype> conf_pred_;
+  // blob which stores the corresponding ground truth label.
+  TBlob<Dtype> conf_gt_;
+  // confidence loss.
+  TBlob<Dtype> conf_loss_;
+
+  MultiBoxLossParameter multibox_loss_param_;
+  int num_classes_;
+  bool share_location_;
+  MatchType match_type_;
+  float overlap_threshold_;
+  bool use_prior_for_matching_;
+  int background_label_id_;
+  bool use_difficult_gt_;
+  bool do_neg_mining_;
+  float neg_pos_ratio_;
+  float neg_overlap_;
+  CodeType code_type_;
+  bool encode_variance_in_target_;
+  bool map_object_to_agnostic_;
+  bool ignore_cross_boundary_bbox_;
+  bool bp_inside_;
+  MiningType mining_type_;
+
+  int loc_classes_;
+  int num_gt_;
+  int num_;
+  int num_priors_;
+
+  int num_matches_;
+  int num_conf_;
+  vector<map<int, vector<int> > > all_match_indices_;
+  vector<vector<int> > all_neg_indices_;
+
+  // How to normalize the loss.
+  LossParameter_NormalizationMode normalization_;
+};
+
+}  // namespace caffe
+
+#endif  // CAFFE_MULTIBOX_LOSS_LAYER_HPP_
diff --git a/include/caffe/layers/normalize_layer.hpp b/include/caffe/layers/normalize_layer.hpp
new file mode 100644
index 00000000000..0cfb22cadf0
--- /dev/null
+++ b/include/caffe/layers/normalize_layer.hpp
@@ -0,0 +1,53 @@
+#ifndef CAFFE_NORMALIZE_LAYER_HPP_
+#define CAFFE_NORMALIZE_LAYER_HPP_
+
+#include <vector>
+
+#include "caffe/blob.hpp"
+#include "caffe/layer.hpp"
+#include "caffe/proto/caffe.pb.h"
+
+namespace caffe {
+
+/**
+ * @brief Normalizes the input to have L_p norm of 1 with scale learnable.
+ *
+ * TODO(weiliu89): thorough documentation for Forward, Backward, and proto params.
+ */
+template <typename Ftype, typename Btype>
+class NormalizeLayer : public Layer<Ftype, Btype> {
+  typedef Ftype Dtype;
+
+ public:
+  explicit NormalizeLayer(const LayerParameter& param)
+      : Layer<Ftype, Btype>(param) {}
+  virtual void LayerSetUp(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+  virtual void Reshape(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+
+  virtual inline const char* type() const { return "Normalize"; }
+  virtual inline int ExactNumBottomBlobs() const { return 1; }
+  virtual inline int ExactNumTopBlobs() const { return 1; }
+
+ protected:
+  virtual void Forward_cpu(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+  virtual void Forward_gpu(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+  virtual void Backward_cpu(const vector<Blob*>& top,
+      const vector<bool>& propagate_down, const vector<Blob*>& bottom);
+  virtual void Backward_gpu(const vector<Blob*>& top,
+     const vector<bool>& propagate_down, const vector<Blob*>& bottom);
+
+  TBlob<Dtype> norm_;
+  TBlob<Dtype> sum_channel_multiplier_, sum_spatial_multiplier_;
+  TBlob<Dtype> buffer_, buffer_channel_, buffer_spatial_;
+  bool across_spatial_;
+  bool channel_shared_;
+  Dtype eps_;
+};
+
+}  // namespace caffe
+
+#endif  // CAFFE_MVN_LAYER_HPP_
diff --git a/include/caffe/layers/permute_layer.hpp b/include/caffe/layers/permute_layer.hpp
new file mode 100644
index 00000000000..1dff70f0059
--- /dev/null
+++ b/include/caffe/layers/permute_layer.hpp
@@ -0,0 +1,61 @@
+#ifndef CAFFE_PERMUTE_LAYER_HPP_
+#define CAFFE_PERMUTE_LAYER_HPP_
+
+#include <vector>
+
+#include "caffe/blob.hpp"
+#include "caffe/layer.hpp"
+#include "caffe/proto/caffe.pb.h"
+
+namespace caffe {
+
+/**
+ * @brief Permute the input blob by changing the memory order of the data.
+ *
+ * TODO(weiliu89): thorough documentation for Forward, Backward, and proto params.
+ */
+
+// The main function which does the permute.
+template <typename Dtype>
+void Permute(const int count, Dtype* bottom_data, const bool forward,
+    const int* permute_order, const int* old_steps, const int* new_steps,
+    const int num_axes, Dtype* top_data);
+
+template <typename Ftype, typename Btype>
+class PermuteLayer : public Layer<Ftype, Btype> {
+  typedef Ftype Dtype;
+
+ public:
+  explicit PermuteLayer(const LayerParameter& param)
+      : Layer<Ftype, Btype>(param) {}
+  virtual void LayerSetUp(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+  virtual void Reshape(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+
+  virtual inline const char* type() const { return "Permute"; }
+  virtual inline int ExactNumBottomBlobs() const { return 1; }
+  virtual inline int ExactNumTopBlobs() const { return 1; }
+
+ protected:
+  virtual void Forward_cpu(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+  virtual void Forward_gpu(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+  virtual void Backward_cpu(const vector<Blob*>& top,
+      const vector<bool>& propagate_down, const vector<Blob*>& bottom);
+  virtual void Backward_gpu(const vector<Blob*>& top,
+      const vector<bool>& propagate_down, const vector<Blob*>& bottom);
+
+  int num_axes_;
+  bool need_permute_;
+
+  // Use Blob because it is convenient to be accessible in .cu file.
+  TBlob<int> permute_order_;
+  TBlob<int> old_steps_;
+  TBlob<int> new_steps_;
+};
+
+}  // namespace caffe
+
+#endif  // CAFFE_PERMUTE_LAYER_HPP_
diff --git a/include/caffe/layers/pooling_layer.hpp b/include/caffe/layers/pooling_layer.hpp
index 6cf7930300f..48e2d21d111 100644
--- a/include/caffe/layers/pooling_layer.hpp
+++ b/include/caffe/layers/pooling_layer.hpp
@@ -18,7 +18,7 @@ template <typename Ftype, typename Btype>
 class PoolingLayer : public Layer<Ftype, Btype> {
  public:
   explicit PoolingLayer(const LayerParameter& param)
-      : Layer<Ftype, Btype>(param) {}
+      : Layer<Ftype, Btype>(param), rand_idx_(Blob::create<Ftype>()) {}
   virtual void LayerSetUp(const vector<Blob*>& bottom,
       const vector<Blob*>& top);
   virtual void Reshape(const vector<Blob*>& bottom,
@@ -52,7 +52,7 @@ class PoolingLayer : public Layer<Ftype, Btype> {
   int pooled_height_, pooled_width_;
   bool global_pooling_;
   bool is_max_pooling_;
-  TBlob<float> rand_idx_;
+  shared_ptr<Blob> rand_idx_;
   TBlob<int> max_idx_;
 };
 
diff --git a/include/caffe/layers/prior_box_layer.hpp b/include/caffe/layers/prior_box_layer.hpp
new file mode 100644
index 00000000000..0a33f625ec0
--- /dev/null
+++ b/include/caffe/layers/prior_box_layer.hpp
@@ -0,0 +1,86 @@
+#ifndef CAFFE_PRIORBOX_LAYER_HPP_
+#define CAFFE_PRIORBOX_LAYER_HPP_
+
+#include <vector>
+
+#include "caffe/blob.hpp"
+#include "caffe/layer.hpp"
+#include "caffe/proto/caffe.pb.h"
+
+namespace caffe {
+
+/**
+ * @brief Generate the prior boxes of designated sizes and aspect ratios across
+ *        all dimensions @f$ (H \times W) @f$.
+ *
+ * Intended for use with MultiBox detection method to generate prior (template).
+ *
+ * NOTE: does not implement Backwards operation.
+ */
+template <typename Ftype, typename Btype>
+class PriorBoxLayer : public Layer<Ftype, Btype> {
+  typedef Ftype Dtype;
+
+ public:
+  /**
+   * @param param provides PriorBoxParameter prior_box_param,
+   *     with PriorBoxLayer options:
+   *   - min_size (\b minimum box size in pixels. can be multiple. required!).
+   *   - max_size (\b maximum box size in pixels. can be ignored or same as the
+   *   # of min_size.).
+   *   - aspect_ratio (\b optional aspect ratios of the boxes. can be multiple).
+   *   - flip (\b optional bool, default true).
+   *     if set, flip the aspect ratio.
+   */
+  explicit PriorBoxLayer(const LayerParameter& param)
+      : Layer<Ftype, Btype>(param) {}
+  virtual void LayerSetUp(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+  virtual void Reshape(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+
+  virtual inline const char* type() const { return "PriorBox"; }
+  virtual inline int ExactBottomBlobs() const { return 2; }
+  virtual inline int ExactNumTopBlobs() const { return 1; }
+
+ protected:
+  /**
+   * @brief Generates prior boxes for a layer with specified parameters.
+   *
+   * @param bottom input Blob vector (at least 2)
+   *   -# @f$ (N \times C \times H_i \times W_i) @f$
+   *      the input layer @f$ x_i @f$
+   *   -# @f$ (N \times C \times H_0 \times W_0) @f$
+   *      the data layer @f$ x_0 @f$
+   * @param top output Blob vector (length 1)
+   *   -# @f$ (N \times 2 \times K*4) @f$ where @f$ K @f$ is the prior numbers
+   *   By default, a box of aspect ratio 1 and min_size and a box of aspect
+   *   ratio 1 and sqrt(min_size * max_size) are created.
+   */
+  virtual void Forward_cpu(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+  /// @brief Not implemented
+  virtual void Backward_cpu(const vector<Blob*>& top,
+      const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
+    return;
+  }
+
+  vector<float> min_sizes_;
+  vector<float> max_sizes_;
+  vector<float> aspect_ratios_;
+  bool flip_;
+  int num_priors_;
+  bool clip_;
+  vector<float> variance_;
+
+  int img_w_;
+  int img_h_;
+  float step_w_;
+  float step_h_;
+
+  float offset_;
+};
+
+}  // namespace caffe
+
+#endif  // CAFFE_PRIORBOX_LAYER_HPP_
diff --git a/include/caffe/layers/recurrent_layer.hpp b/include/caffe/layers/recurrent_layer.hpp
new file mode 100644
index 00000000000..c772b264dc7
--- /dev/null
+++ b/include/caffe/layers/recurrent_layer.hpp
@@ -0,0 +1,181 @@
+#ifndef CAFFE_RECURRENT_LAYER_HPP_
+#define CAFFE_RECURRENT_LAYER_HPP_
+
+#include <string>
+#include <utility>
+#include <vector>
+
+#include "caffe/blob.hpp"
+#include "caffe/common.hpp"
+#include "caffe/layer.hpp"
+#include "caffe/net.hpp"
+#include "caffe/proto/caffe.pb.h"
+#include "caffe/util/format.hpp"
+
+namespace caffe {
+
+/**
+ * @brief An abstract class for implementing recurrent behavior inside of an
+ *        unrolled network.  This Layer type cannot be instantiated -- instead,
+ *        you should use one of its implementations which defines the recurrent
+ *        architecture, such as RNNLayer or LSTMLayer.
+ */
+template<typename Ftype, typename Btype>
+class RecurrentLayer : public Layer<Ftype, Btype> {
+ public:
+  explicit RecurrentLayer(const LayerParameter& param)
+      : Layer<Ftype, Btype>(param) {}
+  virtual void LayerSetUp(const vector<Blob*>& bottom, const vector<Blob*>& top);
+  virtual void Reshape(const vector<Blob*>& bottom, const vector<Blob*>& top);
+  virtual void Reset();
+
+  virtual inline const char* type() const { return "Recurrent"; }
+  virtual inline int MinBottomBlobs() const {
+    int min_bottoms = 2;
+    if (this->layer_param_.recurrent_param().expose_hidden()) {
+      vector<string> inputs;
+      this->RecurrentInputBlobNames(&inputs);
+      min_bottoms += inputs.size();
+    }
+    return min_bottoms;
+  }
+  virtual inline int MaxBottomBlobs() const { return MinBottomBlobs() + 1; }
+  virtual inline int ExactNumTopBlobs() const {
+    int num_tops = 1;
+    if (this->layer_param_.recurrent_param().expose_hidden()) {
+      vector<string> outputs;
+      this->RecurrentOutputBlobNames(&outputs);
+      num_tops += outputs.size();
+    }
+    return num_tops;
+  }
+
+  virtual inline bool AllowForceBackward(const int bottom_index) const {
+    // Can't propagate to sequence continuation indicators.
+    return bottom_index != 1;
+  }
+
+ protected:
+  /**
+   * @brief Fills net_param with the recurrent network architecture.  Subclasses
+   *        should define this -- see RNNLayer and LSTMLayer for examples.
+   */
+  virtual void FillUnrolledNet(NetParameter* net_param) const = 0;
+
+  /**
+   * @brief Fills names with the names of the 0th timestep recurrent input
+   *        Blob&s.  Subclasses should define this -- see RNNLayer and LSTMLayer
+   *        for examples.
+   */
+  virtual void RecurrentInputBlobNames(vector<string>* names) const = 0;
+
+  /**
+   * @brief Fills shapes with the shapes of the recurrent input Blob&s.
+   *        Subclasses should define this -- see RNNLayer and LSTMLayer
+   *        for examples.
+   */
+  virtual void RecurrentInputShapes(vector<BlobShape>* shapes) const = 0;
+
+  /**
+   * @brief Fills names with the names of the Tth timestep recurrent output
+   *        Blob&s.  Subclasses should define this -- see RNNLayer and LSTMLayer
+   *        for examples.
+   */
+  virtual void RecurrentOutputBlobNames(vector<string>* names) const = 0;
+
+  /**
+   * @brief Fills names with the names of the output blobs, concatenated across
+   *        all timesteps.  Should return a name for each top Blob.
+   *        Subclasses should define this -- see RNNLayer and LSTMLayer for
+   *        examples.
+   */
+  virtual void OutputBlobNames(vector<string>* names) const = 0;
+
+  /**
+   * @param bottom input Blob vector (length 2-3)
+   *
+   *   -# @f$ (T \times N \times ...) @f$
+   *      the time-varying input @f$ x @f$.  After the first two axes, whose
+   *      dimensions must correspond to the number of timesteps @f$ T @f$ and
+   *      the number of independent streams @f$ N @f$, respectively, its
+   *      dimensions may be arbitrary.  Note that the ordering of dimensions --
+   *      @f$ (T \times N \times ...) @f$, rather than
+   *      @f$ (N \times T \times ...) @f$ -- means that the @f$ N @f$
+   *      independent input streams must be "interleaved".
+   *
+   *   -# @f$ (T \times N) @f$
+   *      the sequence continuation indicators @f$ \delta @f$.
+   *      These inputs should be binary (0 or 1) indicators, where
+   *      @f$ \delta_{t,n} = 0 @f$ means that timestep @f$ t @f$ of stream
+   *      @f$ n @f$ is the beginning of a new sequence, and hence the previous
+   *      hidden state @f$ h_{t-1} @f$ is multiplied by @f$ \delta_t = 0 @f$
+   *      and has no effect on the cell's output at timestep @f$ t @f$, and
+   *      a value of @f$ \delta_{t,n} = 1 @f$ means that timestep @f$ t @f$ of
+   *      stream @f$ n @f$ is a continuation from the previous timestep
+   *      @f$ t-1 @f$, and the previous hidden state @f$ h_{t-1} @f$ affects the
+   *      updated hidden state and output.
+   *
+   *   -# @f$ (N \times ...) @f$ (optional)
+   *      the static (non-time-varying) input @f$ x_{static} @f$.
+   *      After the first axis, whose dimension must be the number of
+   *      independent streams, its dimensions may be arbitrary.
+   *      This is mathematically equivalent to using a time-varying input of
+   *      @f$ x'_t = [x_t; x_{static}] @f$ -- i.e., tiling the static input
+   *      across the @f$ T @f$ timesteps and concatenating with the time-varying
+   *      input.  Note that if this input is used, all timesteps in a single
+   *      batch within a particular one of the @f$ N @f$ streams must share the
+   *      same static input, even if the sequence continuation indicators
+   *      suggest that difference sequences are ending and beginning within a
+   *      single batch.  This may require padding and/or truncation for uniform
+   *      length.
+   *
+   * @param top output Blob vector (length 1)
+   *   -# @f$ (T \times N \times D) @f$
+   *      the time-varying output @f$ y @f$, where @f$ D @f$ is
+   *      <code>recurrent_param.num_output()</code>.
+   *      Refer to documentation for particular RecurrentLayer implementations
+   *      (such as RNNLayer and LSTMLayer) for the definition of @f$ y @f$.
+   */
+  virtual void Forward_cpu(const vector<Blob*>& bottom, const vector<Blob*>& top);
+  virtual void Forward_gpu(const vector<Blob*>& bottom, const vector<Blob*>& top);
+  virtual void Backward_cpu(const vector<Blob*>& top,
+      const vector<bool>& propagate_down, const vector<Blob*>& bottom);
+
+  /// @brief A Net to implement the Recurrent functionality.
+  shared_ptr<Net> unrolled_net_;
+
+  /// @brief The number of independent streams to process simultaneously.
+  int N_;
+
+  /**
+   * @brief The number of timesteps in the layer's input, and the number of
+   *        timesteps over which to backpropagate through time.
+   */
+  int T_;
+
+  /// @brief Whether the layer has a "static" input copied across all timesteps.
+  bool static_input_;
+
+  /**
+   * @brief The last layer to run in the network. (Any later layers are losses
+   *        added to force the recurrent net to do backprop.)
+   */
+  int last_layer_index_;
+
+  /**
+   * @brief Whether the layer's hidden state at the first and last timesteps
+   *        are layer inputs and outputs, respectively.
+   */
+  bool expose_hidden_;
+
+  vector<Blob*> recur_input_blobs_;
+  vector<Blob*> recur_output_blobs_;
+  vector<Blob*> output_blobs_;
+  Blob* x_input_blob_;
+  Blob* x_static_input_blob_;
+  Blob* cont_input_blob_;
+};
+
+}  // namespace caffe
+
+#endif  // CAFFE_RECURRENT_LAYER_HPP_
diff --git a/include/caffe/layers/rnn_layer.hpp b/include/caffe/layers/rnn_layer.hpp
new file mode 100644
index 00000000000..bd36e68f437
--- /dev/null
+++ b/include/caffe/layers/rnn_layer.hpp
@@ -0,0 +1,45 @@
+#ifndef CAFFE_RNN_LAYER_HPP_
+#define CAFFE_RNN_LAYER_HPP_
+
+#include <string>
+#include <utility>
+#include <vector>
+
+#include "caffe/blob.hpp"
+#include "caffe/common.hpp"
+#include "caffe/layer.hpp"
+#include "caffe/layers/recurrent_layer.hpp"
+#include "caffe/net.hpp"
+#include "caffe/proto/caffe.pb.h"
+
+namespace caffe {
+
+/**
+ * @brief Processes time-varying inputs using a simple recurrent neural network
+ *        (RNN). Implemented as a network unrolling the RNN computation in time.
+ *
+ * Given time-varying inputs @f$ x_t @f$, computes hidden state @f$
+ *     h_t := \tanh[ W_{hh} h_{t_1} + W_{xh} x_t + b_h ]
+ * @f$, and outputs @f$
+ *     o_t := \tanh[ W_{ho} h_t + b_o ]
+ * @f$.
+ */
+template<typename Ftype, typename Btype>
+class RNNLayer : public RecurrentLayer<Ftype, Btype> {
+ public:
+  explicit RNNLayer(const LayerParameter& param)
+      : RecurrentLayer<Ftype, Btype>(param) {}
+
+  virtual inline const char* type() const { return "RNN"; }
+
+ protected:
+  void FillUnrolledNet(NetParameter* net_param) const override;
+  void RecurrentInputBlobNames(vector<string>* names) const override;
+  void RecurrentOutputBlobNames(vector<string>* names) const override;
+  void RecurrentInputShapes(vector<BlobShape>* shapes) const override;
+  void OutputBlobNames(vector<string>* names) const override;
+};
+
+}  // namespace caffe
+
+#endif  // CAFFE_RNN_LAYER_HPP_
diff --git a/include/caffe/layers/smooth_L1_loss_layer.hpp b/include/caffe/layers/smooth_L1_loss_layer.hpp
new file mode 100644
index 00000000000..889ef4ebf8b
--- /dev/null
+++ b/include/caffe/layers/smooth_L1_loss_layer.hpp
@@ -0,0 +1,70 @@
+// ------------------------------------------------------------------
+// Fast R-CNN
+// copyright (c) 2015 Microsoft
+// Licensed under The MIT License [see fast-rcnn/LICENSE for details]
+// Written by Ross Girshick
+// Modified by Wei Liu
+// ------------------------------------------------------------------
+
+#ifndef CAFFE_SMOOTH_L1_LOSS_LAYER_HPP_
+#define CAFFE_SMOOTH_L1_LOSS_LAYER_HPP_
+
+#include <vector>
+
+#include "caffe/blob.hpp"
+#include "caffe/layer.hpp"
+#include "caffe/proto/caffe.pb.h"
+
+#include "caffe/layers/loss_layer.hpp"
+
+namespace caffe {
+
+/**
+ * @brief Computes the SmoothL1 loss as introduced in:@f$
+ *  Fast R-CNN, Ross Girshick, ICCV 2015.
+ */
+template <typename Ftype, typename Btype>
+class SmoothL1LossLayer : public LossLayer<Ftype, Btype> {
+  typedef Ftype Dtype;
+
+ public:
+  explicit SmoothL1LossLayer(const LayerParameter& param)
+      : LossLayer<Ftype, Btype>(param), diff_() {}
+  virtual void LayerSetUp(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+  virtual void Reshape(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+
+  virtual inline const char* type() const { return "SmoothL1Loss"; }
+
+  virtual inline int MinBottomBlobs() const { return 2; }
+  virtual inline int MaxBottomBlobs() const { return 3; }
+
+  /**
+   * Unlike most loss layers, in the SmoothL1LossLayer we can backpropagate
+   * to both inputs -- override to return true and always allow force_backward.
+   */
+  virtual inline bool AllowForceBackward(const int bottom_index) const {
+    return true;
+  }
+
+ protected:
+  /// @copydoc SmoothL1LossLayer
+  virtual void Forward_cpu(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+  virtual void Forward_gpu(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+
+  virtual void Backward_cpu(const vector<Blob*>& top,
+      const vector<bool>& propagate_down, const vector<Blob*>& bottom);
+  virtual void Backward_gpu(const vector<Blob*>& top,
+      const vector<bool>& propagate_down, const vector<Blob*>& bottom);
+
+  TBlob<Dtype> diff_;
+  TBlob<Dtype> errors_;
+  bool has_weights_;
+};
+
+}  // namespace caffe
+
+#endif  // CAFFE_SMOOTH_L1_LOSS_LAYER_HPP_
diff --git a/include/caffe/layers/video_data_layer.hpp b/include/caffe/layers/video_data_layer.hpp
new file mode 100644
index 00000000000..a4e09b62515
--- /dev/null
+++ b/include/caffe/layers/video_data_layer.hpp
@@ -0,0 +1,56 @@
+#ifndef CAFFE_VIDEO_DATA_LAYER_HPP_
+#define CAFFE_VIDEO_DATA_LAYER_HPP_
+
+#if OPENCV_VERSION == 3
+#include <opencv2/videoio.hpp>
+#else
+#include <opencv2/opencv.hpp>
+#endif  // OPENCV_VERSION == 3
+
+#include <string>
+#include <vector>
+
+#include "caffe/blob.hpp"
+#include "caffe/data_transformer.hpp"
+#include "caffe/internal_thread.hpp"
+#include "caffe/layer.hpp"
+#include "caffe/layers/base_data_layer.hpp"
+#include "caffe/proto/caffe.pb.h"
+#include "caffe/util/db.hpp"
+
+namespace caffe {
+
+/**
+ * @brief Provides data to the Net from webcam or video files.
+ *
+ * TODO(weiliu89): thorough documentation for Forward and proto params.
+ */
+template <typename Ftype, typename Btype>
+class VideoDataLayer : public BasePrefetchingDataLayer<Ftype, Btype> {
+ public:
+  VideoDataLayer(const LayerParameter& param, size_t solver_rank);
+  virtual ~VideoDataLayer();
+  virtual void DataLayerSetUp(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+  virtual inline bool ShareInParallel() const { return false; }
+  virtual inline const char* type() const { return "VideoData"; }
+  virtual inline int ExactNumBottomBlobs() const { return 0; }
+  virtual inline int MinTopBlobs() const { return 1; }
+
+ protected:
+  void load_batch(Batch* batch, int thread_id, size_t queue_id) override;
+  void start_reading() override {}
+
+  VideoDataParameter_VideoType video_type_;
+  cv::VideoCapture cap_;
+
+  int skip_frames_;
+
+  int total_frames_;
+  int processed_frames_;
+  vector<int> top_shape_;
+};
+
+}  // namespace caffe
+
+#endif  // CAFFE_VIDEO_DATA_LAYER_HPP_
diff --git a/include/caffe/net.hpp b/include/caffe/net.hpp
index 31821c0ac6a..4722aa8efff 100644
--- a/include/caffe/net.hpp
+++ b/include/caffe/net.hpp
@@ -16,6 +16,7 @@
 #include "caffe/util/blocking_queue.hpp"
 #include "caffe/util/thread_pool.hpp"
 #include "caffe/layers/data_layer.hpp"
+#include "caffe/layers/annotated_data_layer.hpp"
 
 namespace caffe {
 
@@ -33,13 +34,15 @@ class Net {
       size_t solver_rank = 0U,
       Flag* solver_init_flag = nullptr,
       Flag* solver_iter0_flag = nullptr,
-      const Net* root_net = nullptr);
+      const Net* root_net = nullptr,
+      bool inner_net = false);
   Net(const string& param_file,
       Phase phase,
       size_t solver_rank = 0U,
       Flag* solver_init_flag = nullptr,
       Flag* solver_iter0_flag = nullptr,
-      const Net* root_net = nullptr);
+      const Net* root_net = nullptr,
+      bool inner_net = false);
   ~Net();
 
   /// @brief Initialize a network with a NetParameter.
@@ -275,6 +278,10 @@ class Net {
     return infer_count_;
   }
 
+  size_t solver_rank() const {
+    return solver_rank_;
+  }
+
   bool global_grad_scale_enabled() const {
     return global_grad_scale_param_ > 1.F;
   }
@@ -293,7 +300,8 @@ class Net {
   size_t prefetch_bytes() {
     size_t bytes = 0UL;
     for (const shared_ptr<LayerBase>& layer : layers_) {
-      if (typeid(*layer) == typeid(DataLayer<Ftype, Btype>)) {
+      if (typeid(*layer) == typeid(DataLayer<Ftype, Btype>) ||
+          typeid(*layer) == typeid(AnnotatedDataLayer<Ftype, Btype>)) {
         bytes += reinterpret_cast<DataLayer<Ftype, Btype>*>(layer.get())->prefetch_bytes();
       }
     }
@@ -428,6 +436,8 @@ class Net {
   std::atomic_llong wgrad_sq_;
   float global_grad_scale_coeff_, global_grad_scale_param_;
   bool global_grad_scale_adaptive_;
+  /// Inner net runs on singe GPU (see recurrent layers)
+  const bool inner_net_;
 
   static constexpr float GRAD_FACTOR = 1.E6F;
 
diff --git a/include/caffe/parallel.hpp b/include/caffe/parallel.hpp
index 9df87d525fe..b7cab7f4c4a 100644
--- a/include/caffe/parallel.hpp
+++ b/include/caffe/parallel.hpp
@@ -36,7 +36,7 @@ struct SharedScores {
 
  private:
   vector<vector<Dtype>> memory_;
-  static constexpr size_t MAX_SCORES = 1000;
+  static constexpr size_t MAX_SCORES = 1000*10;
 };
 
 template<typename Dtype>
diff --git a/include/caffe/solver.hpp b/include/caffe/solver.hpp
index 3c9cc493dab..853006c9aa6 100644
--- a/include/caffe/solver.hpp
+++ b/include/caffe/solver.hpp
@@ -197,6 +197,7 @@ class Solver {
   // The test routine
   vector<float> TestAll(const int iters = 0, bool use_multi_gpu = false);
   vector<float> Test(const int test_net_id = 0, const int iters = 0, bool use_multi_gpu = false);
+  vector<float> TestDetection(const int test_net_id = 0);
   virtual void SnapshotSolverState(const string& model_filename) = 0;
   virtual void RestoreSolverStateFromHDF5(const string& state_file) = 0;
   virtual void RestoreSolverStateFromBinaryProto(const string& state_file) = 0;
diff --git a/include/caffe/test/test_gradient_check_util.hpp b/include/caffe/test/test_gradient_check_util.hpp
index 4513d61a56e..004decf6896 100644
--- a/include/caffe/test/test_gradient_check_util.hpp
+++ b/include/caffe/test/test_gradient_check_util.hpp
@@ -22,9 +22,12 @@ class GradientChecker {
   // kink - kink_range <= |feature value| <= kink + kink_range,
   // which accounts for all nonsmoothness in use by caffe
   GradientChecker(const float stepsize, const float threshold, const unsigned int seed = 1701,
-      const float kink = 0., const float kink_range = -1) : stepsize_(stepsize),
-                                                            threshold_(threshold), kink_(kink),
-                                                            kink_range_(kink_range), seed_(seed) {}
+      const float kink = 0.F, const float kink_range = -1.F)
+      : stepsize_(stepsize),
+        threshold_(threshold),
+        kink_(kink),
+        kink_range_(kink_range),
+        seed_(seed) {}
 
   // Checks the gradient of a layer, with provided bottom layers and top
   // layers.
@@ -132,9 +135,9 @@ void GradientChecker<Dtype>::CheckGradientSingle(LayerBase* layer, const vector<
       // bottom[blob_id][i] only for i == top_data_id.  For any other
       // i != top_data_id, we know the derivative is 0 by definition, and simply
       // check that that's true.
-      float estimated_gradient = 0;
-      float positive_objective = 0;
-      float negative_objective = 0;
+      float estimated_gradient = 0.F;
+      float positive_objective = 0.F;
+      float negative_objective = 0.F;
       if (!element_wise || (feat_id == top_data_id)) {
         // Do finite differencing.
         // Compute loss with stepsize_ added to input.
diff --git a/include/caffe/type.hpp b/include/caffe/type.hpp
index 2c2e5207b53..23cf368364d 100644
--- a/include/caffe/type.hpp
+++ b/include/caffe/type.hpp
@@ -34,6 +34,11 @@ template <>
 inline constexpr Type tp<unsigned int>() {
   return UINT;
 }
+template <>
+inline constexpr Type tp<bool>() {
+  //CHECK(false) << "Should not reach here: tp<bool>()";
+  return BOOL;
+}
 
 #ifdef USE_CUDNN
 template <typename Dtype>
diff --git a/include/caffe/util/bbox_util.hpp b/include/caffe/util/bbox_util.hpp
new file mode 100644
index 00000000000..b41ab0dc529
--- /dev/null
+++ b/include/caffe/util/bbox_util.hpp
@@ -0,0 +1,518 @@
+#include <opencv2/core/core.hpp>
+#include <opencv2/highgui/highgui.hpp>
+#include <opencv2/imgproc/imgproc.hpp>
+
+#ifndef CAFFE_UTIL_BBOX_UTIL_H_
+#define CAFFE_UTIL_BBOX_UTIL_H_
+
+#include <stdint.h>
+#include <cmath>  // for std::fabs and std::signbit
+#include <map>
+#include <string>
+#include <utility>
+#include <vector>
+
+#include "glog/logging.h"
+
+#include "caffe/caffe.hpp"
+
+namespace caffe {
+
+typedef EmitConstraint_EmitType EmitType;
+typedef PriorBoxParameter_CodeType CodeType;
+typedef MultiBoxLossParameter_MatchType MatchType;
+typedef MultiBoxLossParameter_LocLossType LocLossType;
+typedef MultiBoxLossParameter_ConfLossType ConfLossType;
+typedef MultiBoxLossParameter_MiningType MiningType;
+
+typedef map<int, vector<NormalizedBBox> > LabelBBox;
+
+// Function used to sort NormalizedBBox, stored in STL container (e.g. vector),
+// in ascend order based on the score value.
+bool SortBBoxAscend(const NormalizedBBox& bbox1, const NormalizedBBox& bbox2);
+
+// Function used to sort NormalizedBBox, stored in STL container (e.g. vector),
+// in descend order based on the score value.
+bool SortBBoxDescend(const NormalizedBBox& bbox1, const NormalizedBBox& bbox2);
+
+// Function sued to sort pair<float, T>, stored in STL container (e.g. vector)
+// in descend order based on the score (first) value.
+template <typename T>
+bool SortScorePairAscend(const pair<float, T>& pair1,
+                         const pair<float, T>& pair2);
+
+// Function sued to sort pair<float, T>, stored in STL container (e.g. vector)
+// in descend order based on the score (first) value.
+template <typename T>
+bool SortScorePairDescend(const pair<float, T>& pair1,
+                          const pair<float, T>& pair2);
+
+// Generate unit bbox [0, 0, 1, 1]
+NormalizedBBox UnitBBox();
+
+// Check if a bbox is cross boundary or not.
+bool IsCrossBoundaryBBox(const NormalizedBBox& bbox);
+
+// Compute the intersection between two bboxes.
+void IntersectBBox(const NormalizedBBox& bbox1, const NormalizedBBox& bbox2,
+                   NormalizedBBox* intersect_bbox);
+
+// Compute bbox size.
+float BBoxSize(const NormalizedBBox& bbox, const bool normalized = true);
+
+template <typename Dtype>
+Dtype BBoxSize(const Dtype* bbox, const bool normalized = true);
+
+// Clip the NormalizedBBox such that the range for each corner is [0, 1].
+void ClipBBox(const NormalizedBBox& bbox, NormalizedBBox* clip_bbox);
+
+// Clip the bbox such that the bbox is within [0, 0; width, height].
+void ClipBBox(const NormalizedBBox& bbox, const float height, const float width,
+              NormalizedBBox* clip_bbox);
+
+// Scale the NormalizedBBox w.r.t. height and width.
+void ScaleBBox(const NormalizedBBox& bbox, const int height, const int width,
+               NormalizedBBox* scale_bbox);
+
+// Output predicted bbox on the actual image.
+void OutputBBox(const NormalizedBBox& bbox, const pair<int, int>& img_size,
+                const bool has_resize, const ResizeParameter& resize_param,
+                NormalizedBBox* out_bbox);
+
+// Locate bbox in the coordinate system that src_bbox sits.
+void LocateBBox(const NormalizedBBox& src_bbox, const NormalizedBBox& bbox,
+                NormalizedBBox* loc_bbox);
+
+// Project bbox onto the coordinate system defined by src_bbox.
+bool ProjectBBox(const NormalizedBBox& src_bbox, const NormalizedBBox& bbox,
+                 NormalizedBBox* proj_bbox);
+
+// Extrapolate the transformed bbox if height_scale and width_scale is
+// explicitly provided, and it is only effective for FIT_SMALL_SIZE case.
+void ExtrapolateBBox(const ResizeParameter& param, const int height,
+    const int width, const NormalizedBBox& crop_bbox, NormalizedBBox* bbox);
+
+// Compute the jaccard (intersection over union IoU) overlap between two bboxes.
+float JaccardOverlap(const NormalizedBBox& bbox1, const NormalizedBBox& bbox2,
+                     const bool normalized = true);
+
+template <typename Dtype>
+Dtype JaccardOverlap(const Dtype* bbox1, const Dtype* bbox2);
+
+// Compute the coverage of bbox1 by bbox2.
+float BBoxCoverage(const NormalizedBBox& bbox1, const NormalizedBBox& bbox2);
+
+// Encode a bbox according to a prior bbox.
+void EncodeBBox(const NormalizedBBox& prior_bbox,
+    const vector<float>& prior_variance, const CodeType code_type,
+    const bool encode_variance_in_target, const NormalizedBBox& bbox,
+    NormalizedBBox* encode_bbox);
+
+// Check if a bbox meet emit constraint w.r.t. src_bbox.
+bool MeetEmitConstraint(const NormalizedBBox& src_bbox,
+    const NormalizedBBox& bbox, const EmitConstraint& emit_constraint);
+
+// Decode a bbox according to a prior bbox.
+void DecodeBBox(const NormalizedBBox& prior_bbox,
+    const vector<float>& prior_variance, const CodeType code_type,
+    const bool variance_encoded_in_target, const bool clip_bbox,
+    const NormalizedBBox& bbox, NormalizedBBox* decode_bbox);
+
+// Decode a set of bboxes according to a set of prior bboxes.
+void DecodeBBoxes(const vector<NormalizedBBox>& prior_bboxes,
+    const vector<vector<float> >& prior_variances,
+    const CodeType code_type, const bool variance_encoded_in_target,
+    const bool clip_bbox, const vector<NormalizedBBox>& bboxes,
+    vector<NormalizedBBox>* decode_bboxes);
+
+// Decode all bboxes in a batch.
+void DecodeBBoxesAll(const vector<LabelBBox>& all_loc_pred,
+    const vector<NormalizedBBox>& prior_bboxes,
+    const vector<vector<float> >& prior_variances,
+    const int num, const bool share_location,
+    const int num_loc_classes, const int background_label_id,
+    const CodeType code_type, const bool variance_encoded_in_target,
+    const bool clip, vector<LabelBBox>* all_decode_bboxes);
+
+// Match prediction bboxes with ground truth bboxes.
+void MatchBBox(const vector<NormalizedBBox>& gt,
+    const vector<NormalizedBBox>& pred_bboxes, const int label,
+    const MatchType match_type, const float overlap_threshold,
+    const bool ignore_cross_boundary_bbox,
+    vector<int>* match_indices, vector<float>* match_overlaps);
+
+// Find matches between prediction bboxes and ground truth bboxes.
+//    all_loc_preds: stores the location prediction, where each item contains
+//      location prediction for an image.
+//    all_gt_bboxes: stores ground truth bboxes for the batch.
+//    prior_bboxes: stores all the prior bboxes in the format of NormalizedBBox.
+//    prior_variances: stores all the variances needed by prior bboxes.
+//    multibox_loss_param: stores the parameters for MultiBoxLossLayer.
+//    all_match_overlaps: stores jaccard overlaps between predictions and gt.
+//    all_match_indices: stores mapping between predictions and ground truth.
+void FindMatches(const vector<LabelBBox>& all_loc_preds,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      const vector<NormalizedBBox>& prior_bboxes,
+      const vector<vector<float> >& prior_variances,
+      const MultiBoxLossParameter& multibox_loss_param,
+      vector<map<int, vector<float> > >* all_match_overlaps,
+      vector<map<int, vector<int> > >* all_match_indices);
+
+// Count the number of matches from the match indices.
+int CountNumMatches(const vector<map<int, vector<int> > >& all_match_indices,
+                    const int num);
+
+// Mine the hard examples from the batch.
+//    conf_blob: stores the confidence prediction.
+//    all_loc_preds: stores the location prediction, where each item contains
+//      location prediction for an image.
+//    all_gt_bboxes: stores ground truth bboxes for the batch.
+//    prior_bboxes: stores all the prior bboxes in the format of NormalizedBBox.
+//    prior_variances: stores all the variances needed by prior bboxes.
+//    all_match_overlaps: stores jaccard overlap between predictions and gt.
+//    multibox_loss_param: stores the parameters for MultiBoxLossLayer.
+//    all_match_indices: stores mapping between predictions and ground truth.
+//    all_loc_loss: stores the confidence loss per location for each image.
+template <typename Dtype>
+void MineHardExamples(const TBlob<Dtype>& conf_blob,
+    const vector<LabelBBox>& all_loc_preds,
+    const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+    const vector<NormalizedBBox>& prior_bboxes,
+    const vector<vector<float> >& prior_variances,
+    const vector<map<int, vector<float> > >& all_match_overlaps,
+    const MultiBoxLossParameter& multibox_loss_param,
+    int* num_matches, int* num_negs,
+    vector<map<int, vector<int> > >* all_match_indices,
+    vector<vector<int> >* all_neg_indices);
+
+// Retrieve bounding box ground truth from gt_data.
+//    gt_data: 1 x 1 x num_gt x 7 blob.
+//    num_gt: the number of ground truth.
+//    background_label_id: the label for background class which is used to do
+//      santity check so that no ground truth contains it.
+//    all_gt_bboxes: stores ground truth for each image. Label of each bbox is
+//      stored in NormalizedBBox.
+template <typename Dtype>
+void GetGroundTruth(const Dtype* gt_data, const int num_gt,
+      const int background_label_id, const bool use_difficult_gt,
+      map<int, vector<NormalizedBBox> >* all_gt_bboxes);
+// Store ground truth bboxes of same label in a group.
+template <typename Dtype>
+void GetGroundTruth(const Dtype* gt_data, const int num_gt,
+      const int background_label_id, const bool use_difficult_gt,
+      map<int, LabelBBox>* all_gt_bboxes);
+
+// Get location predictions from loc_data.
+//    loc_data: num x num_preds_per_class * num_loc_classes * 4 blob.
+//    num: the number of images.
+//    num_preds_per_class: number of predictions per class.
+//    num_loc_classes: number of location classes. It is 1 if share_location is
+//      true; and is equal to number of classes needed to predict otherwise.
+//    share_location: if true, all classes share the same location prediction.
+//    loc_preds: stores the location prediction, where each item contains
+//      location prediction for an image.
+template <typename Dtype>
+void GetLocPredictions(const Dtype* loc_data, const int num,
+      const int num_preds_per_class, const int num_loc_classes,
+      const bool share_location, vector<LabelBBox>* loc_preds);
+
+// Encode the localization prediction and ground truth for each matched prior.
+//    all_loc_preds: stores the location prediction, where each item contains
+//      location prediction for an image.
+//    all_gt_bboxes: stores ground truth bboxes for the batch.
+//    all_match_indices: stores mapping between predictions and ground truth.
+//    prior_bboxes: stores all the prior bboxes in the format of NormalizedBBox.
+//    prior_variances: stores all the variances needed by prior bboxes.
+//    multibox_loss_param: stores the parameters for MultiBoxLossLayer.
+//    loc_pred_data: stores the location prediction results.
+//    loc_gt_data: stores the encoded location ground truth.
+template <typename Dtype>
+void EncodeLocPrediction(const vector<LabelBBox>& all_loc_preds,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const vector<NormalizedBBox>& prior_bboxes,
+      const vector<vector<float> >& prior_variances,
+      const MultiBoxLossParameter& multibox_loss_param,
+      Dtype* loc_pred_data, Dtype* loc_gt_data);
+
+// Compute the localization loss per matched prior.
+//    loc_pred: stores the location prediction results.
+//    loc_gt: stores the encoded location ground truth.
+//    all_match_indices: stores mapping between predictions and ground truth.
+//    num: number of images in the batch.
+//    num_priors: total number of priors.
+//    loc_loss_type: type of localization loss, Smooth_L1 or L2.
+//    all_loc_loss: stores the localization loss for all priors in a batch.
+template <typename Dtype>
+void ComputeLocLoss(const TBlob<Dtype>& loc_pred, const TBlob<Dtype>& loc_gt,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const int num, const int num_priors, const LocLossType loc_loss_type,
+      vector<vector<float> >* all_loc_loss);
+
+// Get confidence predictions from conf_data.
+//    conf_data: num x num_preds_per_class * num_classes blob.
+//    num: the number of images.
+//    num_preds_per_class: number of predictions per class.
+//    num_classes: number of classes.
+//    conf_preds: stores the confidence prediction, where each item contains
+//      confidence prediction for an image.
+template <typename Dtype>
+void GetConfidenceScores(const Dtype* conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      vector<map<int, vector<float> > >* conf_scores);
+
+// Get confidence predictions from conf_data.
+//    conf_data: num x num_preds_per_class * num_classes blob.
+//    num: the number of images.
+//    num_preds_per_class: number of predictions per class.
+//    num_classes: number of classes.
+//    class_major: if true, data layout is
+//      num x num_classes x num_preds_per_class; otherwise, data layerout is
+//      num x num_preds_per_class * num_classes.
+//    conf_preds: stores the confidence prediction, where each item contains
+//      confidence prediction for an image.
+template <typename Dtype>
+void GetConfidenceScores(const Dtype* conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      const bool class_major, vector<map<int, vector<float> > >* conf_scores);
+
+// Compute the confidence loss for each prior from conf_data.
+//    conf_data: num x num_preds_per_class * num_classes blob.
+//    num: the number of images.
+//    num_preds_per_class: number of predictions per class.
+//    num_classes: number of classes.
+//    background_label_id: it is used to skip selecting max scores from
+//      background class.
+//    loss_type: compute the confidence loss according to the loss type.
+//    all_match_indices: stores mapping between predictions and ground truth.
+//    all_gt_bboxes: stores ground truth bboxes from the batch.
+//    all_conf_loss: stores the confidence loss per location for each image.
+template <typename Dtype>
+void ComputeConfLoss(const Dtype* conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      const int background_label_id, const ConfLossType loss_type,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      vector<vector<float> >* all_conf_loss);
+
+// Compute the negative confidence loss for each prior from conf_data.
+//    conf_data: num x num_preds_per_class * num_classes blob.
+//    num: the number of images.
+//    num_preds_per_class: number of predictions per class.
+//    num_classes: number of classes.
+//    background_label_id: it is used to skip selecting max scores from
+//      background class.
+//    loss_type: compute the confidence loss according to the loss type.
+//    all_conf_loss: stores the confidence loss per location for each image.
+template <typename Dtype>
+void ComputeConfLoss(const Dtype* conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      const int background_label_id, const ConfLossType loss_type,
+      vector<vector<float> >* all_conf_loss);
+
+// Encode the confidence predictions and ground truth for each matched prior.
+//    conf_data: num x num_priors * num_classes blob.
+//    num: number of images.
+//    num_priors: number of priors (predictions) per image.
+//    multibox_loss_param: stores the parameters for MultiBoxLossLayer.
+//    all_match_indices: stores mapping between predictions and ground truth.
+//    all_neg_indices: stores the indices for negative samples.
+//    all_gt_bboxes: stores ground truth bboxes for the batch.
+//    conf_pred_data: stores the confidence prediction results.
+//    conf_gt_data: stores the confidence ground truth.
+template <typename Dtype>
+void EncodeConfPrediction(const Dtype* conf_data, const int num,
+      const int num_priors, const MultiBoxLossParameter& multibox_loss_param,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const vector<vector<int> >& all_neg_indices,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      Dtype* conf_pred_data, Dtype* conf_gt_data);
+
+// Get prior bounding boxes from prior_data.
+//    prior_data: 1 x 2 x num_priors * 4 x 1 blob.
+//    num_priors: number of priors.
+//    prior_bboxes: stores all the prior bboxes in the format of NormalizedBBox.
+//    prior_variances: stores all the variances needed by prior bboxes.
+template <typename Dtype>
+void GetPriorBBoxes(const Dtype* prior_data, const int num_priors,
+      vector<NormalizedBBox>* prior_bboxes,
+      vector<vector<float> >* prior_variances);
+
+// Get detection results from det_data.
+//    det_data: 1 x 1 x num_det x 7 blob.
+//    num_det: the number of detections.
+//    background_label_id: the label for background class which is used to do
+//      santity check so that no detection contains it.
+//    all_detections: stores detection results for each class from each image.
+template <typename Dtype>
+void GetDetectionResults(const Dtype* det_data, const int num_det,
+      const int background_label_id,
+      map<int, LabelBBox>* all_detections);
+
+// Get top_k scores with corresponding indices.
+//    scores: a set of scores.
+//    indices: a set of corresponding indices.
+//    top_k: if -1, keep all; otherwise, keep at most top_k.
+//    score_index_vec: store the sorted (score, index) pair.
+void GetTopKScoreIndex(const vector<float>& scores, const vector<int>& indices,
+      const int top_k, vector<pair<float, int> >* score_index_vec);
+
+// Get max scores with corresponding indices.
+//    scores: a set of scores.
+//    threshold: only consider scores higher than the threshold.
+//    top_k: if -1, keep all; otherwise, keep at most top_k.
+//    score_index_vec: store the sorted (score, index) pair.
+void GetMaxScoreIndex(const vector<float>& scores, const float threshold,
+      const int top_k, vector<pair<float, int> >* score_index_vec);
+
+// Get max scores with corresponding indices.
+//    scores: an array of scores.
+//    num: number of total scores in the array.
+//    threshold: only consider scores higher than the threshold.
+//    top_k: if -1, keep all; otherwise, keep at most top_k.
+//    score_index_vec: store the sorted (score, index) pair.
+template <typename Dtype>
+void GetMaxScoreIndex(const Dtype* scores, const int num, const float threshold,
+      const int top_k, vector<pair<Dtype, int> >* score_index_vec);
+
+// Get max scores with corresponding indices.
+//    scores: a set of scores.
+//    threshold: only consider scores higher than the threshold.
+//    top_k: if -1, keep all; otherwise, keep at most top_k.
+//    score_index_vec: store the sorted (score, index) pair.
+void GetMaxScoreIndex(const vector<float>& scores, const float threshold,
+      const int top_k, vector<pair<float, int> >* score_index_vec);
+
+// Do non maximum suppression given bboxes and scores.
+//    bboxes: a set of bounding boxes.
+//    scores: a set of corresponding confidences.
+//    threshold: the threshold used in non maximum suppression.
+//    top_k: if not -1, keep at most top_k picked indices.
+//    reuse_overlaps: if true, use and update overlaps; otherwise, always
+//      compute overlap.
+//    overlaps: a temp place to optionally store the overlaps between pairs of
+//      bboxes if reuse_overlaps is true.
+//    indices: the kept indices of bboxes after nms.
+void ApplyNMS(const vector<NormalizedBBox>& bboxes, const vector<float>& scores,
+      const float threshold, const int top_k, const bool reuse_overlaps,
+      map<int, map<int, float> >* overlaps, vector<int>* indices);
+
+void ApplyNMS(const vector<NormalizedBBox>& bboxes, const vector<float>& scores,
+      const float threshold, const int top_k, vector<int>* indices);
+
+void ApplyNMS(const bool* overlapped, const int num, vector<int>* indices);
+
+// Do non maximum suppression given bboxes and scores.
+// Inspired by Piotr Dollar's NMS implementation in EdgeBox.
+// https://goo.gl/jV3JYS
+//    bboxes: a set of bounding boxes.
+//    scores: a set of corresponding confidences.
+//    score_threshold: a threshold used to filter detection results.
+//    nms_threshold: a threshold used in non maximum suppression.
+//    eta: adaptation rate for nms threshold (see Piotr's paper).
+//    top_k: if not -1, keep at most top_k picked indices.
+//    indices: the kept indices of bboxes after nms.
+void ApplyNMSFast(const vector<NormalizedBBox>& bboxes,
+      const vector<float>& scores, const float score_threshold,
+      const float nms_threshold, const float eta, const int top_k,
+      vector<int>* indices);
+
+// Do non maximum suppression based on raw bboxes and scores data.
+// Inspired by Piotr Dollar's NMS implementation in EdgeBox.
+// https://goo.gl/jV3JYS
+//    bboxes: an array of bounding boxes.
+//    scores: an array of corresponding confidences.
+//    num: number of total boxes/confidences in the array.
+//    score_threshold: a threshold used to filter detection results.
+//    nms_threshold: a threshold used in non maximum suppression.
+//    eta: adaptation rate for nms threshold (see Piotr's paper).
+//    top_k: if not -1, keep at most top_k picked indices.
+//    indices: the kept indices of bboxes after nms.
+template <typename Dtype>
+void ApplyNMSFast(const Dtype* bboxes, const Dtype* scores, const int num,
+      const float score_threshold, const float nms_threshold,
+      const float eta, const int top_k, vector<int>* indices);
+
+// Compute cumsum of a set of pairs.
+void CumSum(const vector<pair<float, int> >& pairs, vector<int>* cumsum);
+
+// Compute average precision given true positive and false positive vectors.
+//    tp: contains pairs of scores and true positive.
+//    num_pos: number of positives.
+//    fp: contains pairs of scores and false positive.
+//    ap_version: different ways of computing Average Precision.
+//      Check https://sanchom.wordpress.com/tag/average-precision/ for details.
+//      11point: the 11-point interpolated average precision. Used in VOC2007.
+//      MaxIntegral: maximally interpolated AP. Used in VOC2012/ILSVRC.
+//      Integral: the natural integral of the precision-recall curve.
+//    prec: stores the computed precisions.
+//    rec: stores the computed recalls.
+//    ap: the computed Average Precision.
+void ComputeAP(const vector<pair<float, int> >& tp, const int num_pos,
+               const vector<pair<float, int> >& fp, const string ap_version,
+               vector<float>* prec, vector<float>* rec, float* ap);
+
+template <typename Dtype>
+__host__ __device__ Dtype BBoxSizeGPU(const Dtype* bbox,
+                                      const bool normalized = true);
+
+template <typename Dtype>
+__host__ __device__ Dtype JaccardOverlapGPU(const Dtype* bbox1,
+                                            const Dtype* bbox2);
+
+template <typename Dtype>
+void DecodeBBoxesGPU(const int nthreads,
+          const Dtype* loc_data, const Dtype* prior_data,
+          const CodeType code_type, const bool variance_encoded_in_target,
+          const int num_priors, const bool share_location,
+          const int num_loc_classes, const int background_label_id,
+          const bool clip_bbox, Dtype* bbox_data);
+
+template <typename Dtype>
+void PermuteDataGPU(const int nthreads,
+          const Dtype* data, const int num_classes, const int num_data,
+          const int num_dim, Dtype* new_data);
+
+template <typename Dtype>
+void SoftMaxGPU(const Dtype* data, const int outer_num, const int channels,
+    const int inner_num, Dtype* prob);
+
+template <typename Dtype>
+void ComputeOverlappedGPU(const int nthreads,
+          const Dtype* bbox_data, const int num_bboxes, const int num_classes,
+          const Dtype overlap_threshold, bool* overlapped_data);
+
+template <typename Dtype>
+void ComputeOverlappedByIdxGPU(const int nthreads,
+          const Dtype* bbox_data, const Dtype overlap_threshold,
+          const int* idx, const int num_idx, bool* overlapped_data);
+
+template <typename Dtype>
+void ApplyNMSGPU(const Dtype* bbox_data, const Dtype* conf_data,
+          const int num_bboxes, const float confidence_threshold,
+          const int top_k, const float nms_threshold, vector<int>* indices);
+
+template <typename Dtype>
+void GetDetectionsGPU(const Dtype* bbox_data, const Dtype* conf_data,
+          const int image_id, const int label, const vector<int>& indices,
+          const bool clip_bbox, TBlob<Dtype>* detection_blob);
+
+template <typename Dtype>
+  void ComputeConfLossGPU(const TBlob<Dtype>& conf_blob, const int num,
+      const int num_preds_per_class, const int num_classes,
+      const int background_label_id, const ConfLossType loss_type,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      vector<vector<float> >* all_conf_loss);
+
+vector<cv::Scalar> GetColors(const int n);
+
+template <typename Dtype>
+void VisualizeBBox(const vector<cv::Mat>& images, const Blob* detections,
+                   const float threshold, const vector<cv::Scalar>& colors,
+                   const map<int, string>& label_to_display_name,
+                   const string& save_file);
+
+}  // namespace caffe
+
+#endif  // CAFFE_UTIL_BBOX_UTIL_H_
diff --git a/include/caffe/util/cudnn.hpp b/include/caffe/util/cudnn.hpp
index 51978d7b148..0c5de457fb6 100644
--- a/include/caffe/util/cudnn.hpp
+++ b/include/caffe/util/cudnn.hpp
@@ -127,6 +127,22 @@ cudnnDataType_t cudnn_data_type(Type math) {
   return ret;
 }
 
+template <typename Dtype>
+inline void createFilterDesc(cudnnFilterDescriptor_t* desc, int n, int c, int h, int w) {
+  CUDNN_CHECK(cudnnCreateFilterDescriptor(desc));
+  CUDNN_CHECK(cudnnSetFilter4dDescriptor(*desc, cudnn::dataType<Dtype>::type,
+      CUDNN_TENSOR_NCHW, n, c, h, w));
+}
+
+inline void setConvolutionDesc(Type math, cudnnConvolutionDescriptor_t conv,
+      int pad_h, int pad_w, int stride_h, int stride_w, int dilation_h, int dilation_w) {
+  int padA[2] = {pad_h, pad_w};
+  int strideA[2] = {stride_h, stride_w};
+  int upscaleA[2] = {dilation_h, dilation_w};
+  CUDNN_CHECK(cudnnSetConvolutionNdDescriptor(conv, 2, padA, strideA, upscaleA,
+      CUDNN_CROSS_CORRELATION, cudnn::cudnn_data_type(math)));
+}
+
 template<typename Dtype>
 inline void createTensor4dDesc(cudnnTensorDescriptor_t *desc) {
   CUDNN_CHECK(cudnnCreateTensorDescriptor(desc));
diff --git a/include/caffe/util/db.hpp b/include/caffe/util/db.hpp
index 1239d579e2f..4d0186ac2f6 100644
--- a/include/caffe/util/db.hpp
+++ b/include/caffe/util/db.hpp
@@ -21,6 +21,7 @@ class Cursor {
   virtual const void* data() const = 0;
   virtual size_t size() const = 0;
   virtual bool parse(Datum* datum) const = 0;
+  virtual bool parse(AnnotatedDatum* datum) const = 0;
   virtual bool parse(C2TensorProtos* c2p) const = 0;
   virtual bool valid() const = 0;
 
diff --git a/include/caffe/util/db_leveldb.hpp b/include/caffe/util/db_leveldb.hpp
index e228ffdeffb..92c7f234ec2 100644
--- a/include/caffe/util/db_leveldb.hpp
+++ b/include/caffe/util/db_leveldb.hpp
@@ -20,9 +20,13 @@ class LevelDBCursor : public Cursor {
   void Next() override { iter_->Next(); }
   string key() const override { return iter_->key().ToString(); }
   string value() const override { return iter_->value().ToString(); }
+
   bool parse(Datum* datum) const override {
     return datum->ParseFromArray(iter_->value().data(), iter_->value().size());
   }
+  bool parse(AnnotatedDatum* adatum) const override {
+    return adatum->ParseFromArray(iter_->value().data(), iter_->value().size());
+  }
   bool parse(C2TensorProtos* c2p) const override {
     return c2p->ParseFromArray(iter_->value().data(), iter_->value().size());
   }
diff --git a/include/caffe/util/db_lmdb.hpp b/include/caffe/util/db_lmdb.hpp
index be8b77b8d1a..e7609ba2f6e 100644
--- a/include/caffe/util/db_lmdb.hpp
+++ b/include/caffe/util/db_lmdb.hpp
@@ -38,6 +38,9 @@ class LMDBCursor : public Cursor {
   bool parse(Datum* datum) const override {
     return datum->ParseFromArray(mdb_value_.mv_data, mdb_value_.mv_size);
   }
+  bool parse(AnnotatedDatum* adatum) const override {
+    return adatum->ParseFromArray(mdb_value_.mv_data, mdb_value_.mv_size);
+  }
   bool parse(C2TensorProtos* c2p) const override {
     return c2p->ParseFromArray(mdb_value_.mv_data, mdb_value_.mv_size);
   }
diff --git a/include/caffe/util/gpu_memory.hpp b/include/caffe/util/gpu_memory.hpp
index 19d988e1688..b3807cbaccf 100644
--- a/include/caffe/util/gpu_memory.hpp
+++ b/include/caffe/util/gpu_memory.hpp
@@ -112,6 +112,21 @@ struct GPUMemory {
     DISABLE_COPY_MOVE_AND_ASSIGN(Workspace);
   };
 
+  struct PinnedBuffer {
+    explicit PinnedBuffer(size_t size);
+    ~PinnedBuffer();
+
+    void* get() {
+      return dptr_;
+    }
+
+   private:
+    void* hptr_;
+    void* dptr_;
+
+    DISABLE_COPY_MOVE_AND_ASSIGN(PinnedBuffer);
+  };
+
  private:
   struct Manager {
     Manager();
diff --git a/include/caffe/util/im_transforms.hpp b/include/caffe/util/im_transforms.hpp
new file mode 100644
index 00000000000..dbbc1a5ba8e
--- /dev/null
+++ b/include/caffe/util/im_transforms.hpp
@@ -0,0 +1,86 @@
+#ifndef IM_TRANSFORMS_HPP
+#define IM_TRANSFORMS_HPP
+
+#include <opencv2/core/core.hpp>
+#include <opencv2/imgproc/imgproc.hpp>
+
+#include <vector>
+
+#include "caffe/common.hpp"
+#include "caffe/proto/caffe.pb.h"
+
+namespace caffe {
+
+// Generate random number given the probablities for each number.
+int roll_weighted_die(const std::vector<float>& probabilities);
+
+void UpdateBBoxByResizePolicy(const ResizeParameter& param,
+                              const int old_width, const int old_height,
+                              NormalizedBBox* bbox);
+
+void InferNewSize(const ResizeParameter& resize_param,
+                  const int old_width, const int old_height,
+                  int* new_width, int* new_height);
+
+template <typename T>
+bool is_border(const cv::Mat& edge, T color);
+
+// Auto cropping image.
+template <typename T>
+cv::Rect CropMask(const cv::Mat& src, T point, int padding = 2);
+
+cv::Mat colorReduce(const cv::Mat& image, int div = 64);
+
+void fillEdgeImage(const cv::Mat& edgesIn, cv::Mat* filledEdgesOut);
+
+void CenterObjectAndFillBg(const cv::Mat& in_img, const bool fill_bg,
+                           cv::Mat* out_img);
+
+cv::Mat AspectKeepingResizeAndPad(const cv::Mat& in_img,
+                                  const int new_width, const int new_height,
+                                  const int pad_type = cv::BORDER_CONSTANT,
+                                  const cv::Scalar pad = cv::Scalar(0, 0, 0),
+                                  const int interp_mode = cv::INTER_LINEAR);
+
+cv::Mat AspectKeepingResizeBySmall(const cv::Mat& in_img,
+                                   const int new_width, const int new_height,
+                                   const int interp_mode = cv::INTER_LINEAR);
+
+void constantNoise(const int n, const vector<uchar>& val, cv::Mat* image);
+
+cv::Mat ApplyResize(const cv::Mat& in_img, const ResizeParameter& param);
+
+cv::Mat ApplyNoise(const cv::Mat& in_img, const NoiseParameter& param);
+
+
+void RandomBrightness(const cv::Mat& in_img, cv::Mat* out_img,
+    const float brightness_prob, const float brightness_delta);
+
+void AdjustBrightness(const cv::Mat& in_img, const float delta,
+                      cv::Mat* out_img);
+
+void RandomContrast(const cv::Mat& in_img, cv::Mat* out_img,
+    const float contrast_prob, const float lower, const float upper);
+
+void AdjustContrast(const cv::Mat& in_img, const float delta,
+                    cv::Mat* out_img);
+
+void RandomSaturation(const cv::Mat& in_img, cv::Mat* out_img,
+    const float saturation_prob, const float lower, const float upper);
+
+void AdjustSaturation(const cv::Mat& in_img, const float delta,
+                      cv::Mat* out_img);
+
+void RandomHue(const cv::Mat& in_img, cv::Mat* out_img,
+               const float hue_prob, const float hue_delta);
+
+void AdjustHue(const cv::Mat& in_img, const float delta, cv::Mat* out_img);
+
+void RandomOrderChannels(const cv::Mat& in_img, cv::Mat* out_img,
+                         const float random_order_prob);
+
+cv::Mat ApplyDistort(const cv::Mat& in_img, const DistortionParameter& param);
+
+}  // namespace caffe
+
+#endif  // IM_TRANSFORMS_HPP
diff --git a/include/caffe/util/io.hpp b/include/caffe/util/io.hpp
index dacffcd96eb..ec98f5a43c0 100644
--- a/include/caffe/util/io.hpp
+++ b/include/caffe/util/io.hpp
@@ -7,6 +7,7 @@
 #include <boost/filesystem.hpp>
 #include <iomanip>
 #include <iostream>  // NOLINT(readability/streams)
+#include <map>
 #include <string>
 
 #include "google/protobuf/message.h"
@@ -131,6 +132,24 @@ inline bool ReadFileToDatum(const string& filename, Datum* datum) {
   return ReadFileToDatum(filename, -1, datum);
 }
 
+bool ReadImageToDatum(const string& filename, const int label,
+    const int height, const int width, const int min_dim, const int max_dim,
+    const bool is_color, const std::string & encoding, Datum* datum);
+
+inline bool ReadImageToDatum(const string& filename, const int label,
+    const int height, const int width, const int min_dim, const int max_dim,
+    const bool is_color, Datum* datum) {
+  return ReadImageToDatum(filename, label, height, width, min_dim, max_dim,
+                          is_color, "", datum);
+}
+
+inline bool ReadImageToDatum(const string& filename, const int label,
+    const int height, const int width, const int min_dim, const int max_dim,
+    Datum* datum) {
+  return ReadImageToDatum(filename, label, height, width, min_dim, max_dim,
+                          true, datum);
+}
+
 bool ReadImageToDatum(const string& filename, const int label,
     const int height, const int width, const bool is_color,
     const std::string & encoding, Datum* datum);
@@ -161,6 +180,78 @@ inline bool ReadImageToDatum(const string& filename, const int label,
   return ReadImageToDatum(filename, label, 0, 0, true, encoding, datum);
 }
 
+
+void GetImageSize(const string& filename, int* height, int* width);
+
+bool ReadRichImageToAnnotatedDatum(const string& filename,
+    const string& labelname, const int height, const int width,
+    const int min_dim, const int max_dim, const bool is_color,
+    const std::string& encoding, const AnnotatedDatum_AnnotationType type,
+    const string& labeltype, const std::map<string, int>& name_to_label,
+    AnnotatedDatum* anno_datum);
+
+inline bool ReadRichImageToAnnotatedDatum(const string& filename,
+    const string& labelname, const int height, const int width,
+    const bool is_color, const std::string & encoding,
+    const AnnotatedDatum_AnnotationType type, const string& labeltype,
+    const std::map<string, int>& name_to_label, AnnotatedDatum* anno_datum) {
+  return ReadRichImageToAnnotatedDatum(filename, labelname, height, width, 0, 0,
+                      is_color, encoding, type, labeltype, name_to_label,
+                      anno_datum);
+}
+
+bool ReadXMLToAnnotatedDatum(const string& labelname, const int img_height,
+    const int img_width, const std::map<string, int>& name_to_label,
+    AnnotatedDatum* anno_datum);
+
+bool ReadJSONToAnnotatedDatum(const string& labelname, const int img_height,
+    const int img_width, const std::map<string, int>& name_to_label,
+    AnnotatedDatum* anno_datum);
+
+bool ReadTxtToAnnotatedDatum(const string& labelname, const int height,
+    const int width, AnnotatedDatum* anno_datum);
+
+bool ReadLabelFileToLabelMap(const string& filename, bool include_background,
+    const string& delimiter, LabelMap* map);
+
+inline bool ReadLabelFileToLabelMap(const string& filename,
+      bool include_background, LabelMap* map) {
+  return ReadLabelFileToLabelMap(filename, include_background, " ", map);
+}
+
+inline bool ReadLabelFileToLabelMap(const string& filename, LabelMap* map) {
+  return ReadLabelFileToLabelMap(filename, true, map);
+}
+
+bool MapNameToLabel(const LabelMap& map, const bool strict_check,
+                    std::map<string, int>* name_to_label);
+
+inline bool MapNameToLabel(const LabelMap& map,
+                           std::map<string, int>* name_to_label) {
+  return MapNameToLabel(map, true, name_to_label);
+}
+
+bool MapLabelToName(const LabelMap& map, const bool strict_check,
+                    std::map<int, string>* label_to_name);
+
+inline bool MapLabelToName(const LabelMap& map,
+                           std::map<int, string>* label_to_name) {
+  return MapLabelToName(map, true, label_to_name);
+}
+
+bool MapLabelToDisplayName(const LabelMap& map, const bool strict_check,
+                           std::map<int, string>* label_to_display_name);
+
+inline bool MapLabelToDisplayName(const LabelMap& map,
+                              std::map<int, string>* label_to_display_name) {
+  return MapLabelToDisplayName(map, true, label_to_display_name);
+}
+cv::Mat ReadImageToCVMat(const string& filename, const int height,
+    const int width, const int min_dim, const int max_dim, const bool is_color);
+
+cv::Mat ReadImageToCVMat(const string& filename, const int height,
+    const int width, const int min_dim, const int max_dim);
+
 cv::Mat ReadImageToCVMat(const string& filename,
     int height, int width, bool is_color,
     int short_side = 0);
@@ -177,6 +268,9 @@ cv::Mat DecodeDatumToCVMatNative(const Datum& datum);
 cv::Mat DecodeDatumToCVMat(const Datum& datum, bool is_color);
 bool DecodeDatumNative(Datum* datum);
 bool DecodeDatum(Datum* datum, bool is_color);
+void EncodeCVMatToDatum(const cv::Mat& cv_img, const string& encoding,
+                        Datum* datum);
+
 void CVMatToDatum(const cv::Mat& cv_img, Datum& datum);
 vector<int> DatumToCVMat(const Datum& datum, cv::Mat& img, bool shape_only);
 vector<int> DecodeDatumToCVMat(const Datum& datum, int color_mode, cv::Mat& cv_img,
diff --git a/include/caffe/util/sampler.hpp b/include/caffe/util/sampler.hpp
new file mode 100644
index 00000000000..9f0280d79f6
--- /dev/null
+++ b/include/caffe/util/sampler.hpp
@@ -0,0 +1,39 @@
+#ifndef CAFFE_UTIL_SAMPLER_H_
+#define CAFFE_UTIL_SAMPLER_H_
+
+#include <vector>
+
+#include "glog/logging.h"
+
+#include "caffe/caffe.hpp"
+
+namespace caffe {
+
+// Find all annotated NormalizedBBox.
+void GroupObjectBBoxes(const AnnotatedDatum& anno_datum,
+                       vector<NormalizedBBox>* object_bboxes);
+
+// Check if a sampled bbox satisfy the constraints with all object bboxes.
+bool SatisfySampleConstraint(const NormalizedBBox& sampled_bbox,
+                             const vector<NormalizedBBox>& object_bboxes,
+                             const SampleConstraint& sample_constraint);
+
+// Sample a NormalizedBBox given the specifictions.
+void SampleBBox(const Sampler& sampler, NormalizedBBox* sampled_bbox);
+
+// Generate samples from NormalizedBBox using the BatchSampler.
+void GenerateSamples(const NormalizedBBox& source_bbox,
+                     const vector<NormalizedBBox>& object_bboxes,
+                     const BatchSampler& batch_sampler,
+                     vector<NormalizedBBox>* sampled_bboxes);
+
+// Generate samples from AnnotatedDatum using the BatchSampler.
+// All sampled bboxes which satisfy the constraints defined in BatchSampler
+// is stored in sampled_bboxes.
+void GenerateBatchSamples(const AnnotatedDatum& anno_datum,
+                          const vector<BatchSampler>& batch_samplers,
+                          vector<NormalizedBBox>* sampled_bboxes);
+
+}  // namespace caffe
+
+#endif  // CAFFE_UTIL_SAMPLER_H_
diff --git a/models/VGGNet/coco/SSD_300x300/deploy.prototxt b/models/VGGNet/coco/SSD_300x300/deploy.prototxt
new file mode 100644
index 00000000000..d5e2116ad8a
--- /dev/null
+++ b/models/VGGNet/coco/SSD_300x300/deploy.prototxt
@@ -0,0 +1,1629 @@
+name: "VGG_coco_SSD_300x300_deploy"
+input: "data"
+input_shape {
+  dim: 1
+  dim: 3
+  dim: 300
+  dim: 300
+}
+layer {
+  name: "conv1_1"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv1_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu1_1"
+  type: "ReLU"
+  bottom: "conv1_1"
+  top: "conv1_1"
+}
+layer {
+  name: "conv1_2"
+  type: "Convolution"
+  bottom: "conv1_1"
+  top: "conv1_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu1_2"
+  type: "ReLU"
+  bottom: "conv1_2"
+  top: "conv1_2"
+}
+layer {
+  name: "pool1"
+  type: "Pooling"
+  bottom: "conv1_2"
+  top: "pool1"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+  }
+}
+layer {
+  name: "conv2_1"
+  type: "Convolution"
+  bottom: "pool1"
+  top: "conv2_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu2_1"
+  type: "ReLU"
+  bottom: "conv2_1"
+  top: "conv2_1"
+}
+layer {
+  name: "conv2_2"
+  type: "Convolution"
+  bottom: "conv2_1"
+  top: "conv2_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu2_2"
+  type: "ReLU"
+  bottom: "conv2_2"
+  top: "conv2_2"
+}
+layer {
+  name: "pool2"
+  type: "Pooling"
+  bottom: "conv2_2"
+  top: "pool2"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+  }
+}
+layer {
+  name: "conv3_1"
+  type: "Convolution"
+  bottom: "pool2"
+  top: "conv3_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu3_1"
+  type: "ReLU"
+  bottom: "conv3_1"
+  top: "conv3_1"
+}
+layer {
+  name: "conv3_2"
+  type: "Convolution"
+  bottom: "conv3_1"
+  top: "conv3_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu3_2"
+  type: "ReLU"
+  bottom: "conv3_2"
+  top: "conv3_2"
+}
+layer {
+  name: "conv3_3"
+  type: "Convolution"
+  bottom: "conv3_2"
+  top: "conv3_3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu3_3"
+  type: "ReLU"
+  bottom: "conv3_3"
+  top: "conv3_3"
+}
+layer {
+  name: "pool3"
+  type: "Pooling"
+  bottom: "conv3_3"
+  top: "pool3"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+  }
+}
+layer {
+  name: "conv4_1"
+  type: "Convolution"
+  bottom: "pool3"
+  top: "conv4_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu4_1"
+  type: "ReLU"
+  bottom: "conv4_1"
+  top: "conv4_1"
+}
+layer {
+  name: "conv4_2"
+  type: "Convolution"
+  bottom: "conv4_1"
+  top: "conv4_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu4_2"
+  type: "ReLU"
+  bottom: "conv4_2"
+  top: "conv4_2"
+}
+layer {
+  name: "conv4_3"
+  type: "Convolution"
+  bottom: "conv4_2"
+  top: "conv4_3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu4_3"
+  type: "ReLU"
+  bottom: "conv4_3"
+  top: "conv4_3"
+}
+layer {
+  name: "pool4"
+  type: "Pooling"
+  bottom: "conv4_3"
+  top: "pool4"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+  }
+}
+layer {
+  name: "conv5_1"
+  type: "Convolution"
+  bottom: "pool4"
+  top: "conv5_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+    dilation: 1
+  }
+}
+layer {
+  name: "relu5_1"
+  type: "ReLU"
+  bottom: "conv5_1"
+  top: "conv5_1"
+}
+layer {
+  name: "conv5_2"
+  type: "Convolution"
+  bottom: "conv5_1"
+  top: "conv5_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+    dilation: 1
+  }
+}
+layer {
+  name: "relu5_2"
+  type: "ReLU"
+  bottom: "conv5_2"
+  top: "conv5_2"
+}
+layer {
+  name: "conv5_3"
+  type: "Convolution"
+  bottom: "conv5_2"
+  top: "conv5_3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+    dilation: 1
+  }
+}
+layer {
+  name: "relu5_3"
+  type: "ReLU"
+  bottom: "conv5_3"
+  top: "conv5_3"
+}
+layer {
+  name: "pool5"
+  type: "Pooling"
+  bottom: "conv5_3"
+  top: "pool5"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "fc6"
+  type: "Convolution"
+  bottom: "pool5"
+  top: "fc6"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 1024
+    pad: 6
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+    dilation: 6
+  }
+}
+layer {
+  name: "relu6"
+  type: "ReLU"
+  bottom: "fc6"
+  top: "fc6"
+}
+layer {
+  name: "fc7"
+  type: "Convolution"
+  bottom: "fc6"
+  top: "fc7"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 1024
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu7"
+  type: "ReLU"
+  bottom: "fc7"
+  top: "fc7"
+}
+layer {
+  name: "conv6_1"
+  type: "Convolution"
+  bottom: "fc7"
+  top: "conv6_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv6_1_relu"
+  type: "ReLU"
+  bottom: "conv6_1"
+  top: "conv6_1"
+}
+layer {
+  name: "conv6_2"
+  type: "Convolution"
+  bottom: "conv6_1"
+  top: "conv6_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv6_2_relu"
+  type: "ReLU"
+  bottom: "conv6_2"
+  top: "conv6_2"
+}
+layer {
+  name: "conv7_1"
+  type: "Convolution"
+  bottom: "conv6_2"
+  top: "conv7_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv7_1_relu"
+  type: "ReLU"
+  bottom: "conv7_1"
+  top: "conv7_1"
+}
+layer {
+  name: "conv7_2"
+  type: "Convolution"
+  bottom: "conv7_1"
+  top: "conv7_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv7_2_relu"
+  type: "ReLU"
+  bottom: "conv7_2"
+  top: "conv7_2"
+}
+layer {
+  name: "conv8_1"
+  type: "Convolution"
+  bottom: "conv7_2"
+  top: "conv8_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv8_1_relu"
+  type: "ReLU"
+  bottom: "conv8_1"
+  top: "conv8_1"
+}
+layer {
+  name: "conv8_2"
+  type: "Convolution"
+  bottom: "conv8_1"
+  top: "conv8_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv8_2_relu"
+  type: "ReLU"
+  bottom: "conv8_2"
+  top: "conv8_2"
+}
+layer {
+  name: "conv9_1"
+  type: "Convolution"
+  bottom: "conv8_2"
+  top: "conv9_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv9_1_relu"
+  type: "ReLU"
+  bottom: "conv9_1"
+  top: "conv9_1"
+}
+layer {
+  name: "conv9_2"
+  type: "Convolution"
+  bottom: "conv9_1"
+  top: "conv9_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv9_2_relu"
+  type: "ReLU"
+  bottom: "conv9_2"
+  top: "conv9_2"
+}
+layer {
+  name: "conv4_3_norm"
+  type: "Normalize"
+  bottom: "conv4_3"
+  top: "conv4_3_norm"
+  norm_param {
+    across_spatial: false
+    scale_filler {
+      type: "constant"
+      value: 20.0
+    }
+    channel_shared: false
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_loc"
+  type: "Convolution"
+  bottom: "conv4_3_norm"
+  top: "conv4_3_norm_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 16
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv4_3_norm_mbox_loc"
+  top: "conv4_3_norm_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv4_3_norm_mbox_loc_perm"
+  top: "conv4_3_norm_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_conf"
+  type: "Convolution"
+  bottom: "conv4_3_norm"
+  top: "conv4_3_norm_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 324
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv4_3_norm_mbox_conf"
+  top: "conv4_3_norm_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv4_3_norm_mbox_conf_perm"
+  top: "conv4_3_norm_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv4_3_norm"
+  bottom: "data"
+  top: "conv4_3_norm_mbox_priorbox"
+  prior_box_param {
+    min_size: 21.0
+    max_size: 45.0
+    aspect_ratio: 2.0
+    flip: true
+    clip: false
+    variance: 0.10000000149
+    variance: 0.10000000149
+    variance: 0.20000000298
+    variance: 0.20000000298
+    step: 8.0
+    offset: 0.5
+  }
+}
+layer {
+  name: "fc7_mbox_loc"
+  type: "Convolution"
+  bottom: "fc7"
+  top: "fc7_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fc7_mbox_loc_perm"
+  type: "Permute"
+  bottom: "fc7_mbox_loc"
+  top: "fc7_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fc7_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "fc7_mbox_loc_perm"
+  top: "fc7_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fc7_mbox_conf"
+  type: "Convolution"
+  bottom: "fc7"
+  top: "fc7_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 486
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fc7_mbox_conf_perm"
+  type: "Permute"
+  bottom: "fc7_mbox_conf"
+  top: "fc7_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fc7_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "fc7_mbox_conf_perm"
+  top: "fc7_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fc7_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "fc7"
+  bottom: "data"
+  top: "fc7_mbox_priorbox"
+  prior_box_param {
+    min_size: 45.0
+    max_size: 99.0
+    aspect_ratio: 2.0
+    aspect_ratio: 3.0
+    flip: true
+    clip: false
+    variance: 0.10000000149
+    variance: 0.10000000149
+    variance: 0.20000000298
+    variance: 0.20000000298
+    step: 16.0
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv6_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv6_2"
+  top: "conv6_2_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv6_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv6_2_mbox_loc"
+  top: "conv6_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv6_2_mbox_loc_perm"
+  top: "conv6_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv6_2"
+  top: "conv6_2_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 486
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv6_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv6_2_mbox_conf"
+  top: "conv6_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv6_2_mbox_conf_perm"
+  top: "conv6_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv6_2"
+  bottom: "data"
+  top: "conv6_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 99.0
+    max_size: 153.0
+    aspect_ratio: 2.0
+    aspect_ratio: 3.0
+    flip: true
+    clip: false
+    variance: 0.10000000149
+    variance: 0.10000000149
+    variance: 0.20000000298
+    variance: 0.20000000298
+    step: 32.0
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv7_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv7_2"
+  top: "conv7_2_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv7_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv7_2_mbox_loc"
+  top: "conv7_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv7_2_mbox_loc_perm"
+  top: "conv7_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv7_2"
+  top: "conv7_2_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 486
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv7_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv7_2_mbox_conf"
+  top: "conv7_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv7_2_mbox_conf_perm"
+  top: "conv7_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv7_2"
+  bottom: "data"
+  top: "conv7_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 153.0
+    max_size: 207.0
+    aspect_ratio: 2.0
+    aspect_ratio: 3.0
+    flip: true
+    clip: false
+    variance: 0.10000000149
+    variance: 0.10000000149
+    variance: 0.20000000298
+    variance: 0.20000000298
+    step: 64.0
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv8_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv8_2"
+  top: "conv8_2_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 16
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv8_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv8_2_mbox_loc"
+  top: "conv8_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv8_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv8_2_mbox_loc_perm"
+  top: "conv8_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv8_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv8_2"
+  top: "conv8_2_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 324
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv8_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv8_2_mbox_conf"
+  top: "conv8_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv8_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv8_2_mbox_conf_perm"
+  top: "conv8_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv8_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv8_2"
+  bottom: "data"
+  top: "conv8_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 207.0
+    max_size: 261.0
+    aspect_ratio: 2.0
+    flip: true
+    clip: false
+    variance: 0.10000000149
+    variance: 0.10000000149
+    variance: 0.20000000298
+    variance: 0.20000000298
+    step: 100.0
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv9_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv9_2"
+  top: "conv9_2_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 16
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv9_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv9_2_mbox_loc"
+  top: "conv9_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv9_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv9_2_mbox_loc_perm"
+  top: "conv9_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv9_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv9_2"
+  top: "conv9_2_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 324
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv9_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv9_2_mbox_conf"
+  top: "conv9_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv9_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv9_2_mbox_conf_perm"
+  top: "conv9_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv9_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv9_2"
+  bottom: "data"
+  top: "conv9_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 261.0
+    max_size: 315.0
+    aspect_ratio: 2.0
+    flip: true
+    clip: false
+    variance: 0.10000000149
+    variance: 0.10000000149
+    variance: 0.20000000298
+    variance: 0.20000000298
+    step: 300.0
+    offset: 0.5
+  }
+}
+layer {
+  name: "mbox_loc"
+  type: "Concat"
+  bottom: "conv4_3_norm_mbox_loc_flat"
+  bottom: "fc7_mbox_loc_flat"
+  bottom: "conv6_2_mbox_loc_flat"
+  bottom: "conv7_2_mbox_loc_flat"
+  bottom: "conv8_2_mbox_loc_flat"
+  bottom: "conv9_2_mbox_loc_flat"
+  top: "mbox_loc"
+  concat_param {
+    axis: 1
+  }
+}
+layer {
+  name: "mbox_conf"
+  type: "Concat"
+  bottom: "conv4_3_norm_mbox_conf_flat"
+  bottom: "fc7_mbox_conf_flat"
+  bottom: "conv6_2_mbox_conf_flat"
+  bottom: "conv7_2_mbox_conf_flat"
+  bottom: "conv8_2_mbox_conf_flat"
+  bottom: "conv9_2_mbox_conf_flat"
+  top: "mbox_conf"
+  concat_param {
+    axis: 1
+  }
+}
+layer {
+  name: "mbox_priorbox"
+  type: "Concat"
+  bottom: "conv4_3_norm_mbox_priorbox"
+  bottom: "fc7_mbox_priorbox"
+  bottom: "conv6_2_mbox_priorbox"
+  bottom: "conv7_2_mbox_priorbox"
+  bottom: "conv8_2_mbox_priorbox"
+  bottom: "conv9_2_mbox_priorbox"
+  top: "mbox_priorbox"
+  concat_param {
+    axis: 2
+  }
+}
+layer {
+  name: "mbox_conf_reshape"
+  type: "Reshape"
+  bottom: "mbox_conf"
+  top: "mbox_conf_reshape"
+  reshape_param {
+    shape {
+      dim: 0
+      dim: -1
+      dim: 81
+    }
+  }
+}
+layer {
+  name: "mbox_conf_softmax"
+  type: "Softmax"
+  bottom: "mbox_conf_reshape"
+  top: "mbox_conf_softmax"
+  softmax_param {
+    axis: 2
+  }
+}
+layer {
+  name: "mbox_conf_flatten"
+  type: "Flatten"
+  bottom: "mbox_conf_softmax"
+  top: "mbox_conf_flatten"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "detection_out"
+  type: "DetectionOutput"
+  bottom: "mbox_loc"
+  bottom: "mbox_conf_flatten"
+  bottom: "mbox_priorbox"
+  top: "detection_out"
+  include {
+    phase: TEST
+  }
+  detection_output_param {
+    num_classes: 81
+    share_location: true
+    background_label_id: 0
+    nms_param {
+      nms_threshold: 0.449999988079
+      top_k: 400
+    }
+    save_output_param {
+      output_directory: "/home/snikolaev/data/mscoco/results/SSD_300x300"
+      output_name_prefix: "detections_minival_ssd300_results"
+      output_format: "COCO"
+      label_map_file: "data/coco/labelmap_coco.prototxt"
+      name_size_file: "data/coco/test2014_name_size.txt"
+      num_test_image: 5000
+    }
+    code_type: CENTER_SIZE
+    keep_top_k: 200
+    confidence_threshold: 0.00999999977648
+  }
+}
+
diff --git a/models/VGGNet/coco/SSD_300x300/solver.prototxt b/models/VGGNet/coco/SSD_300x300/solver.prototxt
new file mode 100644
index 00000000000..1e5cc781df3
--- /dev/null
+++ b/models/VGGNet/coco/SSD_300x300/solver.prototxt
@@ -0,0 +1,33 @@
+train_net: "models/VGGNet/coco/SSD_300x300/train.prototxt"
+test_net: "models/VGGNet/coco/SSD_300x300/test.prototxt"
+test_iter: 156  #625
+test_interval: 1000
+
+base_lr: 0.001
+
+lr_policy: "poly"
+power: 2
+
+display: 10
+max_iter: 5000 #400000
+
+#lr_policy: "multistep"
+#gamma: 0.10000000149
+
+momentum: 0.9
+weight_decay: 0.0005
+snapshot: 1000 #40000
+snapshot_prefix: "models/VGGNet/coco/SSD_300x300/VGG_coco_SSD_300x300"
+solver_mode: GPU
+device_id: 0
+debug_info: false
+snapshot_after_train: true
+test_initialization: false
+average_loss: 10
+#stepvalue: 3500 #280000
+#stepvalue: 4500 #360000
+#stepvalue: 5000 #400000
+#iter_size: 1
+type: "SGD"
+eval_type: "detection"
+ap_version: "11point"
diff --git a/models/VGGNet/coco/SSD_300x300/test.prototxt b/models/VGGNet/coco/SSD_300x300/test.prototxt
new file mode 100644
index 00000000000..56b530e25a1
--- /dev/null
+++ b/models/VGGNet/coco/SSD_300x300/test.prototxt
@@ -0,0 +1,1671 @@
+name: "VGG_coco_SSD_300x300_test"
+layer {
+  name: "data"
+  type: "AnnotatedData"
+  top: "data"
+  top: "label"
+  include {
+    phase: TEST
+  }
+  transform_param {
+    mean_value: 104.0
+    mean_value: 117.0
+    mean_value: 123.0
+    force_color: true
+    resize_param {
+      prob: 1.0
+      resize_mode: WARP
+      height: 300
+      width: 300
+      interp_mode: LINEAR
+    }
+  }
+  data_param {
+    source: "examples/coco/coco_minival_lmdb"
+    batch_size: 32 #8
+    backend: LMDB
+  }
+  annotated_data_param {
+    batch_sampler {
+    }
+    label_map_file: "data/coco/labelmap_coco.prototxt"
+  }
+}
+layer {
+  name: "conv1_1"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv1_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu1_1"
+  type: "ReLU"
+  bottom: "conv1_1"
+  top: "conv1_1"
+}
+layer {
+  name: "conv1_2"
+  type: "Convolution"
+  bottom: "conv1_1"
+  top: "conv1_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu1_2"
+  type: "ReLU"
+  bottom: "conv1_2"
+  top: "conv1_2"
+}
+layer {
+  name: "pool1"
+  type: "Pooling"
+  bottom: "conv1_2"
+  top: "pool1"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+  }
+}
+layer {
+  name: "conv2_1"
+  type: "Convolution"
+  bottom: "pool1"
+  top: "conv2_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu2_1"
+  type: "ReLU"
+  bottom: "conv2_1"
+  top: "conv2_1"
+}
+layer {
+  name: "conv2_2"
+  type: "Convolution"
+  bottom: "conv2_1"
+  top: "conv2_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu2_2"
+  type: "ReLU"
+  bottom: "conv2_2"
+  top: "conv2_2"
+}
+layer {
+  name: "pool2"
+  type: "Pooling"
+  bottom: "conv2_2"
+  top: "pool2"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+  }
+}
+layer {
+  name: "conv3_1"
+  type: "Convolution"
+  bottom: "pool2"
+  top: "conv3_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu3_1"
+  type: "ReLU"
+  bottom: "conv3_1"
+  top: "conv3_1"
+}
+layer {
+  name: "conv3_2"
+  type: "Convolution"
+  bottom: "conv3_1"
+  top: "conv3_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu3_2"
+  type: "ReLU"
+  bottom: "conv3_2"
+  top: "conv3_2"
+}
+layer {
+  name: "conv3_3"
+  type: "Convolution"
+  bottom: "conv3_2"
+  top: "conv3_3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu3_3"
+  type: "ReLU"
+  bottom: "conv3_3"
+  top: "conv3_3"
+}
+layer {
+  name: "pool3"
+  type: "Pooling"
+  bottom: "conv3_3"
+  top: "pool3"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+  }
+}
+layer {
+  name: "conv4_1"
+  type: "Convolution"
+  bottom: "pool3"
+  top: "conv4_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu4_1"
+  type: "ReLU"
+  bottom: "conv4_1"
+  top: "conv4_1"
+}
+layer {
+  name: "conv4_2"
+  type: "Convolution"
+  bottom: "conv4_1"
+  top: "conv4_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu4_2"
+  type: "ReLU"
+  bottom: "conv4_2"
+  top: "conv4_2"
+}
+layer {
+  name: "conv4_3"
+  type: "Convolution"
+  bottom: "conv4_2"
+  top: "conv4_3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu4_3"
+  type: "ReLU"
+  bottom: "conv4_3"
+  top: "conv4_3"
+}
+layer {
+  name: "pool4"
+  type: "Pooling"
+  bottom: "conv4_3"
+  top: "pool4"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+  }
+}
+layer {
+  name: "conv5_1"
+  type: "Convolution"
+  bottom: "pool4"
+  top: "conv5_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+    dilation: 1
+  }
+}
+layer {
+  name: "relu5_1"
+  type: "ReLU"
+  bottom: "conv5_1"
+  top: "conv5_1"
+}
+layer {
+  name: "conv5_2"
+  type: "Convolution"
+  bottom: "conv5_1"
+  top: "conv5_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+    dilation: 1
+  }
+}
+layer {
+  name: "relu5_2"
+  type: "ReLU"
+  bottom: "conv5_2"
+  top: "conv5_2"
+}
+layer {
+  name: "conv5_3"
+  type: "Convolution"
+  bottom: "conv5_2"
+  top: "conv5_3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+    dilation: 1
+  }
+}
+layer {
+  name: "relu5_3"
+  type: "ReLU"
+  bottom: "conv5_3"
+  top: "conv5_3"
+}
+layer {
+  name: "pool5"
+  type: "Pooling"
+  bottom: "conv5_3"
+  top: "pool5"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "fc6"
+  type: "Convolution"
+  bottom: "pool5"
+  top: "fc6"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 1024
+    pad: 6
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+    dilation: 6
+  }
+}
+layer {
+  name: "relu6"
+  type: "ReLU"
+  bottom: "fc6"
+  top: "fc6"
+}
+layer {
+  name: "fc7"
+  type: "Convolution"
+  bottom: "fc6"
+  top: "fc7"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 1024
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu7"
+  type: "ReLU"
+  bottom: "fc7"
+  top: "fc7"
+}
+layer {
+  name: "conv6_1"
+  type: "Convolution"
+  bottom: "fc7"
+  top: "conv6_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv6_1_relu"
+  type: "ReLU"
+  bottom: "conv6_1"
+  top: "conv6_1"
+}
+layer {
+  name: "conv6_2"
+  type: "Convolution"
+  bottom: "conv6_1"
+  top: "conv6_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv6_2_relu"
+  type: "ReLU"
+  bottom: "conv6_2"
+  top: "conv6_2"
+}
+layer {
+  name: "conv7_1"
+  type: "Convolution"
+  bottom: "conv6_2"
+  top: "conv7_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv7_1_relu"
+  type: "ReLU"
+  bottom: "conv7_1"
+  top: "conv7_1"
+}
+layer {
+  name: "conv7_2"
+  type: "Convolution"
+  bottom: "conv7_1"
+  top: "conv7_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv7_2_relu"
+  type: "ReLU"
+  bottom: "conv7_2"
+  top: "conv7_2"
+}
+layer {
+  name: "conv8_1"
+  type: "Convolution"
+  bottom: "conv7_2"
+  top: "conv8_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv8_1_relu"
+  type: "ReLU"
+  bottom: "conv8_1"
+  top: "conv8_1"
+}
+layer {
+  name: "conv8_2"
+  type: "Convolution"
+  bottom: "conv8_1"
+  top: "conv8_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv8_2_relu"
+  type: "ReLU"
+  bottom: "conv8_2"
+  top: "conv8_2"
+}
+layer {
+  name: "conv9_1"
+  type: "Convolution"
+  bottom: "conv8_2"
+  top: "conv9_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv9_1_relu"
+  type: "ReLU"
+  bottom: "conv9_1"
+  top: "conv9_1"
+}
+layer {
+  name: "conv9_2"
+  type: "Convolution"
+  bottom: "conv9_1"
+  top: "conv9_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv9_2_relu"
+  type: "ReLU"
+  bottom: "conv9_2"
+  top: "conv9_2"
+}
+layer {
+  name: "conv4_3_norm"
+  type: "Normalize"
+  bottom: "conv4_3"
+  top: "conv4_3_norm"
+  norm_param {
+    across_spatial: false
+    scale_filler {
+      type: "constant"
+      value: 20.0
+    }
+    channel_shared: false
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_loc"
+  type: "Convolution"
+  bottom: "conv4_3_norm"
+  top: "conv4_3_norm_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 16
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv4_3_norm_mbox_loc"
+  top: "conv4_3_norm_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv4_3_norm_mbox_loc_perm"
+  top: "conv4_3_norm_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_conf"
+  type: "Convolution"
+  bottom: "conv4_3_norm"
+  top: "conv4_3_norm_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 324
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv4_3_norm_mbox_conf"
+  top: "conv4_3_norm_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv4_3_norm_mbox_conf_perm"
+  top: "conv4_3_norm_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv4_3_norm"
+  bottom: "data"
+  top: "conv4_3_norm_mbox_priorbox"
+  prior_box_param {
+    min_size: 21.0
+    max_size: 45.0
+    aspect_ratio: 2.0
+    flip: true
+    clip: false
+    variance: 0.10000000149
+    variance: 0.10000000149
+    variance: 0.20000000298
+    variance: 0.20000000298
+    step: 8.0
+    offset: 0.5
+  }
+}
+layer {
+  name: "fc7_mbox_loc"
+  type: "Convolution"
+  bottom: "fc7"
+  top: "fc7_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fc7_mbox_loc_perm"
+  type: "Permute"
+  bottom: "fc7_mbox_loc"
+  top: "fc7_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fc7_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "fc7_mbox_loc_perm"
+  top: "fc7_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fc7_mbox_conf"
+  type: "Convolution"
+  bottom: "fc7"
+  top: "fc7_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 486
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fc7_mbox_conf_perm"
+  type: "Permute"
+  bottom: "fc7_mbox_conf"
+  top: "fc7_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fc7_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "fc7_mbox_conf_perm"
+  top: "fc7_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fc7_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "fc7"
+  bottom: "data"
+  top: "fc7_mbox_priorbox"
+  prior_box_param {
+    min_size: 45.0
+    max_size: 99.0
+    aspect_ratio: 2.0
+    aspect_ratio: 3.0
+    flip: true
+    clip: false
+    variance: 0.10000000149
+    variance: 0.10000000149
+    variance: 0.20000000298
+    variance: 0.20000000298
+    step: 16.0
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv6_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv6_2"
+  top: "conv6_2_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv6_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv6_2_mbox_loc"
+  top: "conv6_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv6_2_mbox_loc_perm"
+  top: "conv6_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv6_2"
+  top: "conv6_2_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 486
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv6_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv6_2_mbox_conf"
+  top: "conv6_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv6_2_mbox_conf_perm"
+  top: "conv6_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv6_2"
+  bottom: "data"
+  top: "conv6_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 99.0
+    max_size: 153.0
+    aspect_ratio: 2.0
+    aspect_ratio: 3.0
+    flip: true
+    clip: false
+    variance: 0.10000000149
+    variance: 0.10000000149
+    variance: 0.20000000298
+    variance: 0.20000000298
+    step: 32.0
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv7_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv7_2"
+  top: "conv7_2_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv7_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv7_2_mbox_loc"
+  top: "conv7_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv7_2_mbox_loc_perm"
+  top: "conv7_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv7_2"
+  top: "conv7_2_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 486
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv7_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv7_2_mbox_conf"
+  top: "conv7_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv7_2_mbox_conf_perm"
+  top: "conv7_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv7_2"
+  bottom: "data"
+  top: "conv7_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 153.0
+    max_size: 207.0
+    aspect_ratio: 2.0
+    aspect_ratio: 3.0
+    flip: true
+    clip: false
+    variance: 0.10000000149
+    variance: 0.10000000149
+    variance: 0.20000000298
+    variance: 0.20000000298
+    step: 64.0
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv8_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv8_2"
+  top: "conv8_2_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 16
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv8_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv8_2_mbox_loc"
+  top: "conv8_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv8_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv8_2_mbox_loc_perm"
+  top: "conv8_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv8_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv8_2"
+  top: "conv8_2_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 324
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv8_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv8_2_mbox_conf"
+  top: "conv8_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv8_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv8_2_mbox_conf_perm"
+  top: "conv8_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv8_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv8_2"
+  bottom: "data"
+  top: "conv8_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 207.0
+    max_size: 261.0
+    aspect_ratio: 2.0
+    flip: true
+    clip: false
+    variance: 0.10000000149
+    variance: 0.10000000149
+    variance: 0.20000000298
+    variance: 0.20000000298
+    step: 100.0
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv9_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv9_2"
+  top: "conv9_2_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 16
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv9_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv9_2_mbox_loc"
+  top: "conv9_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv9_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv9_2_mbox_loc_perm"
+  top: "conv9_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv9_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv9_2"
+  top: "conv9_2_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 324
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv9_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv9_2_mbox_conf"
+  top: "conv9_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv9_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv9_2_mbox_conf_perm"
+  top: "conv9_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv9_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv9_2"
+  bottom: "data"
+  top: "conv9_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 261.0
+    max_size: 315.0
+    aspect_ratio: 2.0
+    flip: true
+    clip: false
+    variance: 0.10000000149
+    variance: 0.10000000149
+    variance: 0.20000000298
+    variance: 0.20000000298
+    step: 300.0
+    offset: 0.5
+  }
+}
+layer {
+  name: "mbox_loc"
+  type: "Concat"
+  bottom: "conv4_3_norm_mbox_loc_flat"
+  bottom: "fc7_mbox_loc_flat"
+  bottom: "conv6_2_mbox_loc_flat"
+  bottom: "conv7_2_mbox_loc_flat"
+  bottom: "conv8_2_mbox_loc_flat"
+  bottom: "conv9_2_mbox_loc_flat"
+  top: "mbox_loc"
+  concat_param {
+    axis: 1
+  }
+}
+layer {
+  name: "mbox_conf"
+  type: "Concat"
+  bottom: "conv4_3_norm_mbox_conf_flat"
+  bottom: "fc7_mbox_conf_flat"
+  bottom: "conv6_2_mbox_conf_flat"
+  bottom: "conv7_2_mbox_conf_flat"
+  bottom: "conv8_2_mbox_conf_flat"
+  bottom: "conv9_2_mbox_conf_flat"
+  top: "mbox_conf"
+  concat_param {
+    axis: 1
+  }
+}
+layer {
+  name: "mbox_priorbox"
+  type: "Concat"
+  bottom: "conv4_3_norm_mbox_priorbox"
+  bottom: "fc7_mbox_priorbox"
+  bottom: "conv6_2_mbox_priorbox"
+  bottom: "conv7_2_mbox_priorbox"
+  bottom: "conv8_2_mbox_priorbox"
+  bottom: "conv9_2_mbox_priorbox"
+  top: "mbox_priorbox"
+  concat_param {
+    axis: 2
+  }
+}
+layer {
+  name: "mbox_conf_reshape"
+  type: "Reshape"
+  bottom: "mbox_conf"
+  top: "mbox_conf_reshape"
+  reshape_param {
+    shape {
+      dim: 0
+      dim: -1
+      dim: 81
+    }
+  }
+}
+layer {
+  name: "mbox_conf_softmax"
+  type: "Softmax"
+  bottom: "mbox_conf_reshape"
+  top: "mbox_conf_softmax"
+  softmax_param {
+    axis: 2
+  }
+}
+layer {
+  name: "mbox_conf_flatten"
+  type: "Flatten"
+  bottom: "mbox_conf_softmax"
+  top: "mbox_conf_flatten"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "detection_out"
+  type: "DetectionOutput"
+  bottom: "mbox_loc"
+  bottom: "mbox_conf_flatten"
+  bottom: "mbox_priorbox"
+  top: "detection_out"
+  include {
+    phase: TEST
+  }
+  detection_output_param {
+    num_classes: 81
+    share_location: true
+    background_label_id: 0
+    nms_param {
+      nms_threshold: 0.449999988079
+      top_k: 400
+    }
+    save_output_param {
+      output_directory: "/home/snikolaev/data/mscoco/results/SSD_300x300"
+      output_name_prefix: "detections_minival_ssd300_results"
+      output_format: "COCO"
+      label_map_file: "data/coco/labelmap_coco.prototxt"
+      name_size_file: "data/coco/test2014_name_size.txt"
+      num_test_image: 5000
+    }
+    code_type: CENTER_SIZE
+    keep_top_k: 200
+    confidence_threshold: 0.00999999977648
+  }
+}
+layer {
+  name: "detection_eval"
+  type: "DetectionEvaluate"
+  bottom: "detection_out"
+  bottom: "label"
+  top: "detection_eval"
+  include {
+    phase: TEST
+  }
+  detection_evaluate_param {
+    num_classes: 81
+    background_label_id: 0
+    overlap_threshold: 0.5
+    evaluate_difficult_gt: false
+    name_size_file: "data/coco/test2014_name_size.txt"
+  }
+}
+
diff --git a/models/VGGNet/coco/SSD_300x300/train.prototxt b/models/VGGNet/coco/SSD_300x300/train.prototxt
new file mode 100644
index 00000000000..289b4c7a9fa
--- /dev/null
+++ b/models/VGGNet/coco/SSD_300x300/train.prototxt
@@ -0,0 +1,1733 @@
+name: "VGG_coco_SSD_300x300_train"
+layer {
+  name: "data"
+  type: "AnnotatedData"
+  top: "data"
+  top: "label"
+  include {
+    phase: TRAIN
+  }
+  transform_param {
+    mirror: true
+    mean_value: 104.0
+    mean_value: 117.0
+    mean_value: 123.0
+    force_color: true
+    resize_param {
+      prob: 1.0
+      resize_mode: WARP
+      height: 300
+      width: 300
+      interp_mode: LINEAR
+      interp_mode: AREA
+      interp_mode: NEAREST
+      interp_mode: CUBIC
+      interp_mode: LANCZOS4
+    }
+    emit_constraint {
+      emit_type: CENTER
+    }
+    distort_param {
+      brightness_prob: 0.5
+      brightness_delta: 32.0
+      contrast_prob: 0.5
+      contrast_lower: 0.5
+      contrast_upper: 1.5
+      hue_prob: 0.5
+      hue_delta: 18.0
+      saturation_prob: 0.5
+      saturation_lower: 0.5
+      saturation_upper: 1.5
+      random_order_prob: 0.0
+    }
+    expand_param {
+      prob: 0.5
+      max_expand_ratio: 4.0
+    }
+  }
+  data_param {
+    source: "examples/coco/coco_train_lmdb"
+    batch_size: 128 #16
+    backend: LMDB
+  }
+  annotated_data_param {
+    batch_sampler {
+      max_sample: 1
+      max_trials: 1
+    }
+    batch_sampler {
+      sampler {
+        min_scale: 0.300000011921
+        max_scale: 1.0
+        min_aspect_ratio: 0.5
+        max_aspect_ratio: 2.0
+      }
+      sample_constraint {
+        min_jaccard_overlap: 0.10000000149
+      }
+      max_sample: 1
+      max_trials: 50
+    }
+    batch_sampler {
+      sampler {
+        min_scale: 0.300000011921
+        max_scale: 1.0
+        min_aspect_ratio: 0.5
+        max_aspect_ratio: 2.0
+      }
+      sample_constraint {
+        min_jaccard_overlap: 0.300000011921
+      }
+      max_sample: 1
+      max_trials: 50
+    }
+    batch_sampler {
+      sampler {
+        min_scale: 0.300000011921
+        max_scale: 1.0
+        min_aspect_ratio: 0.5
+        max_aspect_ratio: 2.0
+      }
+      sample_constraint {
+        min_jaccard_overlap: 0.5
+      }
+      max_sample: 1
+      max_trials: 50
+    }
+    batch_sampler {
+      sampler {
+        min_scale: 0.300000011921
+        max_scale: 1.0
+        min_aspect_ratio: 0.5
+        max_aspect_ratio: 2.0
+      }
+      sample_constraint {
+        min_jaccard_overlap: 0.699999988079
+      }
+      max_sample: 1
+      max_trials: 50
+    }
+    batch_sampler {
+      sampler {
+        min_scale: 0.300000011921
+        max_scale: 1.0
+        min_aspect_ratio: 0.5
+        max_aspect_ratio: 2.0
+      }
+      sample_constraint {
+        min_jaccard_overlap: 0.899999976158
+      }
+      max_sample: 1
+      max_trials: 50
+    }
+    batch_sampler {
+      sampler {
+        min_scale: 0.300000011921
+        max_scale: 1.0
+        min_aspect_ratio: 0.5
+        max_aspect_ratio: 2.0
+      }
+      sample_constraint {
+        max_jaccard_overlap: 1.0
+      }
+      max_sample: 1
+      max_trials: 50
+    }
+    label_map_file: "data/coco/labelmap_coco.prototxt"
+  }
+}
+layer {
+  name: "conv1_1"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv1_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu1_1"
+  type: "ReLU"
+  bottom: "conv1_1"
+  top: "conv1_1"
+}
+layer {
+  name: "conv1_2"
+  type: "Convolution"
+  bottom: "conv1_1"
+  top: "conv1_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu1_2"
+  type: "ReLU"
+  bottom: "conv1_2"
+  top: "conv1_2"
+}
+layer {
+  name: "pool1"
+  type: "Pooling"
+  bottom: "conv1_2"
+  top: "pool1"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+  }
+}
+layer {
+  name: "conv2_1"
+  type: "Convolution"
+  bottom: "pool1"
+  top: "conv2_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu2_1"
+  type: "ReLU"
+  bottom: "conv2_1"
+  top: "conv2_1"
+}
+layer {
+  name: "conv2_2"
+  type: "Convolution"
+  bottom: "conv2_1"
+  top: "conv2_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu2_2"
+  type: "ReLU"
+  bottom: "conv2_2"
+  top: "conv2_2"
+}
+layer {
+  name: "pool2"
+  type: "Pooling"
+  bottom: "conv2_2"
+  top: "pool2"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+  }
+}
+layer {
+  name: "conv3_1"
+  type: "Convolution"
+  bottom: "pool2"
+  top: "conv3_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu3_1"
+  type: "ReLU"
+  bottom: "conv3_1"
+  top: "conv3_1"
+}
+layer {
+  name: "conv3_2"
+  type: "Convolution"
+  bottom: "conv3_1"
+  top: "conv3_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu3_2"
+  type: "ReLU"
+  bottom: "conv3_2"
+  top: "conv3_2"
+}
+layer {
+  name: "conv3_3"
+  type: "Convolution"
+  bottom: "conv3_2"
+  top: "conv3_3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu3_3"
+  type: "ReLU"
+  bottom: "conv3_3"
+  top: "conv3_3"
+}
+layer {
+  name: "pool3"
+  type: "Pooling"
+  bottom: "conv3_3"
+  top: "pool3"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+  }
+}
+layer {
+  name: "conv4_1"
+  type: "Convolution"
+  bottom: "pool3"
+  top: "conv4_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu4_1"
+  type: "ReLU"
+  bottom: "conv4_1"
+  top: "conv4_1"
+}
+layer {
+  name: "conv4_2"
+  type: "Convolution"
+  bottom: "conv4_1"
+  top: "conv4_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu4_2"
+  type: "ReLU"
+  bottom: "conv4_2"
+  top: "conv4_2"
+}
+layer {
+  name: "conv4_3"
+  type: "Convolution"
+  bottom: "conv4_2"
+  top: "conv4_3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu4_3"
+  type: "ReLU"
+  bottom: "conv4_3"
+  top: "conv4_3"
+}
+layer {
+  name: "pool4"
+  type: "Pooling"
+  bottom: "conv4_3"
+  top: "pool4"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+  }
+}
+layer {
+  name: "conv5_1"
+  type: "Convolution"
+  bottom: "pool4"
+  top: "conv5_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+    dilation: 1
+  }
+}
+layer {
+  name: "relu5_1"
+  type: "ReLU"
+  bottom: "conv5_1"
+  top: "conv5_1"
+}
+layer {
+  name: "conv5_2"
+  type: "Convolution"
+  bottom: "conv5_1"
+  top: "conv5_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+    dilation: 1
+  }
+}
+layer {
+  name: "relu5_2"
+  type: "ReLU"
+  bottom: "conv5_2"
+  top: "conv5_2"
+}
+layer {
+  name: "conv5_3"
+  type: "Convolution"
+  bottom: "conv5_2"
+  top: "conv5_3"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+    dilation: 1
+  }
+}
+layer {
+  name: "relu5_3"
+  type: "ReLU"
+  bottom: "conv5_3"
+  top: "conv5_3"
+}
+layer {
+  name: "pool5"
+  type: "Pooling"
+  bottom: "conv5_3"
+  top: "pool5"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "fc6"
+  type: "Convolution"
+  bottom: "pool5"
+  top: "fc6"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 1024
+    pad: 6
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+    dilation: 6
+  }
+}
+layer {
+  name: "relu6"
+  type: "ReLU"
+  bottom: "fc6"
+  top: "fc6"
+}
+layer {
+  name: "fc7"
+  type: "Convolution"
+  bottom: "fc6"
+  top: "fc7"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 1024
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "relu7"
+  type: "ReLU"
+  bottom: "fc7"
+  top: "fc7"
+}
+layer {
+  name: "conv6_1"
+  type: "Convolution"
+  bottom: "fc7"
+  top: "conv6_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv6_1_relu"
+  type: "ReLU"
+  bottom: "conv6_1"
+  top: "conv6_1"
+}
+layer {
+  name: "conv6_2"
+  type: "Convolution"
+  bottom: "conv6_1"
+  top: "conv6_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv6_2_relu"
+  type: "ReLU"
+  bottom: "conv6_2"
+  top: "conv6_2"
+}
+layer {
+  name: "conv7_1"
+  type: "Convolution"
+  bottom: "conv6_2"
+  top: "conv7_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv7_1_relu"
+  type: "ReLU"
+  bottom: "conv7_1"
+  top: "conv7_1"
+}
+layer {
+  name: "conv7_2"
+  type: "Convolution"
+  bottom: "conv7_1"
+  top: "conv7_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv7_2_relu"
+  type: "ReLU"
+  bottom: "conv7_2"
+  top: "conv7_2"
+}
+layer {
+  name: "conv8_1"
+  type: "Convolution"
+  bottom: "conv7_2"
+  top: "conv8_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv8_1_relu"
+  type: "ReLU"
+  bottom: "conv8_1"
+  top: "conv8_1"
+}
+layer {
+  name: "conv8_2"
+  type: "Convolution"
+  bottom: "conv8_1"
+  top: "conv8_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv8_2_relu"
+  type: "ReLU"
+  bottom: "conv8_2"
+  top: "conv8_2"
+}
+layer {
+  name: "conv9_1"
+  type: "Convolution"
+  bottom: "conv8_2"
+  top: "conv9_1"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv9_1_relu"
+  type: "ReLU"
+  bottom: "conv9_1"
+  top: "conv9_1"
+}
+layer {
+  name: "conv9_2"
+  type: "Convolution"
+  bottom: "conv9_1"
+  top: "conv9_2"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv9_2_relu"
+  type: "ReLU"
+  bottom: "conv9_2"
+  top: "conv9_2"
+}
+layer {
+  name: "conv4_3_norm"
+  type: "Normalize"
+  bottom: "conv4_3"
+  top: "conv4_3_norm"
+  norm_param {
+    across_spatial: false
+    scale_filler {
+      type: "constant"
+      value: 20.0
+    }
+    channel_shared: false
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_loc"
+  type: "Convolution"
+  bottom: "conv4_3_norm"
+  top: "conv4_3_norm_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 16
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv4_3_norm_mbox_loc"
+  top: "conv4_3_norm_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv4_3_norm_mbox_loc_perm"
+  top: "conv4_3_norm_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_conf"
+  type: "Convolution"
+  bottom: "conv4_3_norm"
+  top: "conv4_3_norm_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 324
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv4_3_norm_mbox_conf"
+  top: "conv4_3_norm_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv4_3_norm_mbox_conf_perm"
+  top: "conv4_3_norm_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv4_3_norm"
+  bottom: "data"
+  top: "conv4_3_norm_mbox_priorbox"
+  prior_box_param {
+    min_size: 21.0
+    max_size: 45.0
+    aspect_ratio: 2.0
+    flip: true
+    clip: false
+    variance: 0.10000000149
+    variance: 0.10000000149
+    variance: 0.20000000298
+    variance: 0.20000000298
+    step: 8.0
+    offset: 0.5
+  }
+}
+layer {
+  name: "fc7_mbox_loc"
+  type: "Convolution"
+  bottom: "fc7"
+  top: "fc7_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fc7_mbox_loc_perm"
+  type: "Permute"
+  bottom: "fc7_mbox_loc"
+  top: "fc7_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fc7_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "fc7_mbox_loc_perm"
+  top: "fc7_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fc7_mbox_conf"
+  type: "Convolution"
+  bottom: "fc7"
+  top: "fc7_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 486
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "fc7_mbox_conf_perm"
+  type: "Permute"
+  bottom: "fc7_mbox_conf"
+  top: "fc7_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fc7_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "fc7_mbox_conf_perm"
+  top: "fc7_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fc7_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "fc7"
+  bottom: "data"
+  top: "fc7_mbox_priorbox"
+  prior_box_param {
+    min_size: 45.0
+    max_size: 99.0
+    aspect_ratio: 2.0
+    aspect_ratio: 3.0
+    flip: true
+    clip: false
+    variance: 0.10000000149
+    variance: 0.10000000149
+    variance: 0.20000000298
+    variance: 0.20000000298
+    step: 16.0
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv6_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv6_2"
+  top: "conv6_2_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv6_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv6_2_mbox_loc"
+  top: "conv6_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv6_2_mbox_loc_perm"
+  top: "conv6_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv6_2"
+  top: "conv6_2_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 486
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv6_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv6_2_mbox_conf"
+  top: "conv6_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv6_2_mbox_conf_perm"
+  top: "conv6_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv6_2"
+  bottom: "data"
+  top: "conv6_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 99.0
+    max_size: 153.0
+    aspect_ratio: 2.0
+    aspect_ratio: 3.0
+    flip: true
+    clip: false
+    variance: 0.10000000149
+    variance: 0.10000000149
+    variance: 0.20000000298
+    variance: 0.20000000298
+    step: 32.0
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv7_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv7_2"
+  top: "conv7_2_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 24
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv7_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv7_2_mbox_loc"
+  top: "conv7_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv7_2_mbox_loc_perm"
+  top: "conv7_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv7_2"
+  top: "conv7_2_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 486
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv7_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv7_2_mbox_conf"
+  top: "conv7_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv7_2_mbox_conf_perm"
+  top: "conv7_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv7_2"
+  bottom: "data"
+  top: "conv7_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 153.0
+    max_size: 207.0
+    aspect_ratio: 2.0
+    aspect_ratio: 3.0
+    flip: true
+    clip: false
+    variance: 0.10000000149
+    variance: 0.10000000149
+    variance: 0.20000000298
+    variance: 0.20000000298
+    step: 64.0
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv8_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv8_2"
+  top: "conv8_2_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 16
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv8_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv8_2_mbox_loc"
+  top: "conv8_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv8_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv8_2_mbox_loc_perm"
+  top: "conv8_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv8_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv8_2"
+  top: "conv8_2_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 324
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv8_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv8_2_mbox_conf"
+  top: "conv8_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv8_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv8_2_mbox_conf_perm"
+  top: "conv8_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv8_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv8_2"
+  bottom: "data"
+  top: "conv8_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 207.0
+    max_size: 261.0
+    aspect_ratio: 2.0
+    flip: true
+    clip: false
+    variance: 0.10000000149
+    variance: 0.10000000149
+    variance: 0.20000000298
+    variance: 0.20000000298
+    step: 100.0
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv9_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv9_2"
+  top: "conv9_2_mbox_loc"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 16
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv9_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv9_2_mbox_loc"
+  top: "conv9_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv9_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv9_2_mbox_loc_perm"
+  top: "conv9_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv9_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv9_2"
+  top: "conv9_2_mbox_conf"
+  param {
+    lr_mult: 1.0
+    decay_mult: 1.0
+  }
+  param {
+    lr_mult: 2.0
+    decay_mult: 0.0
+  }
+  convolution_param {
+    num_output: 324
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0.0
+    }
+  }
+}
+layer {
+  name: "conv9_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv9_2_mbox_conf"
+  top: "conv9_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv9_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv9_2_mbox_conf_perm"
+  top: "conv9_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv9_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv9_2"
+  bottom: "data"
+  top: "conv9_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 261.0
+    max_size: 315.0
+    aspect_ratio: 2.0
+    flip: true
+    clip: false
+    variance: 0.10000000149
+    variance: 0.10000000149
+    variance: 0.20000000298
+    variance: 0.20000000298
+    step: 300.0
+    offset: 0.5
+  }
+}
+layer {
+  name: "mbox_loc"
+  type: "Concat"
+  bottom: "conv4_3_norm_mbox_loc_flat"
+  bottom: "fc7_mbox_loc_flat"
+  bottom: "conv6_2_mbox_loc_flat"
+  bottom: "conv7_2_mbox_loc_flat"
+  bottom: "conv8_2_mbox_loc_flat"
+  bottom: "conv9_2_mbox_loc_flat"
+  top: "mbox_loc"
+  concat_param {
+    axis: 1
+  }
+}
+layer {
+  name: "mbox_conf"
+  type: "Concat"
+  bottom: "conv4_3_norm_mbox_conf_flat"
+  bottom: "fc7_mbox_conf_flat"
+  bottom: "conv6_2_mbox_conf_flat"
+  bottom: "conv7_2_mbox_conf_flat"
+  bottom: "conv8_2_mbox_conf_flat"
+  bottom: "conv9_2_mbox_conf_flat"
+  top: "mbox_conf"
+  concat_param {
+    axis: 1
+  }
+}
+layer {
+  name: "mbox_priorbox"
+  type: "Concat"
+  bottom: "conv4_3_norm_mbox_priorbox"
+  bottom: "fc7_mbox_priorbox"
+  bottom: "conv6_2_mbox_priorbox"
+  bottom: "conv7_2_mbox_priorbox"
+  bottom: "conv8_2_mbox_priorbox"
+  bottom: "conv9_2_mbox_priorbox"
+  top: "mbox_priorbox"
+  concat_param {
+    axis: 2
+  }
+}
+layer {
+  name: "mbox_loss"
+  type: "MultiBoxLoss"
+  bottom: "mbox_loc"
+  bottom: "mbox_conf"
+  bottom: "mbox_priorbox"
+  bottom: "label"
+  top: "mbox_loss"
+  include {
+    phase: TRAIN
+  }
+  propagate_down: true
+  propagate_down: true
+  propagate_down: false
+  propagate_down: false
+  loss_param {
+    normalization: VALID
+  }
+  multibox_loss_param {
+    loc_loss_type: SMOOTH_L1
+    conf_loss_type: SOFTMAX
+    loc_weight: 1.0
+    num_classes: 81
+    share_location: true
+    match_type: PER_PREDICTION
+    overlap_threshold: 0.5
+    use_prior_for_matching: true
+    background_label_id: 0
+    use_difficult_gt: false
+    neg_pos_ratio: 3.0
+    neg_overlap: 0.5
+    code_type: CENTER_SIZE
+    ignore_cross_boundary_bbox: false
+    mining_type: MAX_NEGATIVE
+  }
+}
+
diff --git a/python/caffe/net_spec.py b/python/caffe/net_spec.py
index 5fb1f0b3fb1..5d13067382b 100644
--- a/python/caffe/net_spec.py
+++ b/python/caffe/net_spec.py
@@ -93,6 +93,9 @@ def to_proto(self):
 
         return to_proto(self)
 
+    def _update(self, params):
+        self.fn._update(params)
+
     def _to_proto(self, layers, names, autonames):
         return self.fn._to_proto(layers, names, autonames)
 
@@ -128,6 +131,9 @@ def _get_top_name(self, top, names, autonames):
             names[top] = top.fn.type_name + str(autonames[top.fn.type_name])
         return names[top]
 
+    def _update(self, params):
+        self.params.update(params)
+
     def _to_proto(self, layers, names, autonames):
         if self in layers:
             return
@@ -181,7 +187,21 @@ def __setitem__(self, key, value):
     def __getitem__(self, item):
         return self.__getattr__(item)
 
-    def to_proto(self):
+    def __delitem__(self, name):
+        del self.tops[name]
+
+    def keys(self):
+        keys = [k for k, v in six.iteritems(self.tops)]
+        return keys
+
+    def vals(self):
+        vals = [v for k, v in six.iteritems(self.tops)]
+        return vals
+
+    def update(self, name, params):
+        self.tops[name]._update(params)
+		
+    def to_proto(self, verbose=False):
         names = {v: k for k, v in six.iteritems(self.tops)}
         autonames = Counter()
         layers = OrderedDict()
diff --git a/scripts/create_annoset.py b/scripts/create_annoset.py
new file mode 100644
index 00000000000..eed11ab9556
--- /dev/null
+++ b/scripts/create_annoset.py
@@ -0,0 +1,167 @@
+import argparse
+import os
+import shutil
+import subprocess
+import sys
+
+from caffe.proto import caffe_pb2
+from google.protobuf import text_format
+
+if __name__ == "__main__":
+  parser = argparse.ArgumentParser(description="Create AnnotatedDatum database")
+  parser.add_argument("root",
+      help="The root directory which contains the images and annotations.")
+  parser.add_argument("listfile",
+      help="The file which contains image paths and annotation info.")
+  parser.add_argument("outdir",
+      help="The output directory which stores the database file.")
+  parser.add_argument("exampledir",
+      help="The directory to store the link of the database files.")
+  parser.add_argument("--redo", default = False, action = "store_true",
+      help="Recreate the database.")
+  parser.add_argument("--anno-type", default = "classification",
+      help="The type of annotation {classification, detection}.")
+  parser.add_argument("--label-type", default = "xml",
+      help="The type of label file format for detection {xml, json, txt}.")
+  parser.add_argument("--backend", default = "lmdb",
+      help="The backend {lmdb, leveldb} for storing the result")
+  parser.add_argument("--check-size", default = False, action = "store_true",
+      help="Check that all the datum have the same size.")
+  parser.add_argument("--encode-type", default = "",
+      help="What type should we encode the image as ('png','jpg',...).")
+  parser.add_argument("--encoded", default = False, action = "store_true",
+      help="The encoded image will be save in datum.")
+  parser.add_argument("--gray", default = False, action = "store_true",
+      help="Treat images as grayscale ones.")
+  parser.add_argument("--label-map-file", default = "",
+      help="A file with LabelMap protobuf message.")
+  parser.add_argument("--min-dim", default = 0, type = int,
+      help="Minimum dimension images are resized to.")
+  parser.add_argument("--max-dim", default = 0, type = int,
+      help="Maximum dimension images are resized to.")
+  parser.add_argument("--resize-height", default = 0, type = int,
+      help="Height images are resized to.")
+  parser.add_argument("--resize-width", default = 0, type = int,
+      help="Width images are resized to.")
+  parser.add_argument("--shuffle", default = False, action = "store_true",
+      help="Randomly shuffle the order of images and their labels.")
+  parser.add_argument("--check-label", default = False, action = "store_true",
+      help="Check that there is no duplicated name/label.")
+
+  args = parser.parse_args()
+  root_dir = args.root
+  list_file = args.listfile
+  out_dir = args.outdir
+  example_dir = args.exampledir
+
+  redo = args.redo
+  anno_type = args.anno_type
+  label_type = args.label_type
+  backend = args.backend
+  check_size = args.check_size
+  encode_type = args.encode_type
+  encoded = args.encoded
+  gray = args.gray
+  label_map_file = args.label_map_file
+  min_dim = args.min_dim
+  max_dim = args.max_dim
+  resize_height = args.resize_height
+  resize_width = args.resize_width
+  shuffle = args.shuffle
+  check_label = args.check_label
+
+  # check if root directory exists
+  if not os.path.exists(root_dir):
+    print "root directory: {} does not exist".format(root_dir)
+    sys.exit()
+  # add "/" to root directory if needed
+  if root_dir[-1] != "/":
+    root_dir += "/"
+  # check if list file exists
+  if not os.path.exists(list_file):
+    print "list file: {} does not exist".format(list_file)
+    sys.exit()
+  # check list file format is correct
+  with open(list_file, "r") as lf:
+    for line in lf.readlines():
+      img_file, anno = line.strip("\n").split(" ")
+      if not os.path.exists(root_dir + img_file):
+        print "image file: {} does not exist".format(root_dir + img_file)
+      if anno_type == "classification":
+        if not anno.isdigit():
+          print "annotation: {} is not an integer".format(anno)
+      elif anno_type == "detection":
+        if not os.path.exists(root_dir + anno):
+          print "annofation file: {} does not exist".format(root_dir + anno)
+          sys.exit()
+      break
+  # check if label map file exist
+  if anno_type == "detection":
+    if not os.path.exists(label_map_file):
+      print "label map file: {} does not exist".format(label_map_file)
+      sys.exit()
+    label_map = caffe_pb2.LabelMap()
+    lmf = open(label_map_file, "r")
+    try:
+      text_format.Merge(str(lmf.read()), label_map)
+    except:
+      print "Cannot parse label map file: {}".format(label_map_file)
+      sys.exit()
+  out_parent_dir = os.path.dirname(out_dir)
+  if not os.path.exists(out_parent_dir):
+    os.makedirs(out_parent_dir)
+  if os.path.exists(out_dir) and not redo:
+    print "{} already exists and I do not hear redo".format(out_dir)
+    sys.exit()
+  if os.path.exists(out_dir):
+    shutil.rmtree(out_dir)
+
+  # get caffe root directory
+  caffe_root = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
+  if anno_type == "detection":
+    cmd = "{}/build/tools/convert_annoset" \
+        " --anno_type={}" \
+        " --label_type={}" \
+        " --label_map_file={}" \
+        " --check_label={}" \
+        " --min_dim={}" \
+        " --max_dim={}" \
+        " --resize_height={}" \
+        " --resize_width={}" \
+        " --backend={}" \
+        " --shuffle={}" \
+        " --check_size={}" \
+        " --encode_type={}" \
+        " --encoded={}" \
+        " --gray={}" \
+        " {} {} {}" \
+        .format(caffe_root, anno_type, label_type, label_map_file, check_label,
+            min_dim, max_dim, resize_height, resize_width, backend, shuffle,
+            check_size, encode_type, encoded, gray, root_dir, list_file, out_dir)
+  elif anno_type == "classification":
+    cmd = "{}/build/tools/convert_annoset" \
+        " --anno_type={}" \
+        " --min_dim={}" \
+        " --max_dim={}" \
+        " --resize_height={}" \
+        " --resize_width={}" \
+        " --backend={}" \
+        " --shuffle={}" \
+        " --check_size={}" \
+        " --encode_type={}" \
+        " --encoded={}" \
+        " --gray={}" \
+        " {} {} {}" \
+        .format(caffe_root, anno_type, min_dim, max_dim, resize_height,
+            resize_width, backend, shuffle, check_size, encode_type, encoded,
+            gray, root_dir, list_file, out_dir)
+  print cmd
+  process = subprocess.Popen(cmd.split(), stdout=subprocess.PIPE)
+  output = process.communicate()[0]
+
+  if not os.path.exists(example_dir):
+    os.makedirs(example_dir)
+  link_dir = os.path.join(example_dir, os.path.basename(out_dir))
+  if os.path.exists(link_dir):
+    os.unlink(link_dir)
+  os.symlink(out_dir, link_dir)
diff --git a/src/caffe/common.cpp b/src/caffe/common.cpp
index 3f51d19d77f..01b83653c35 100644
--- a/src/caffe/common.cpp
+++ b/src/caffe/common.cpp
@@ -17,6 +17,7 @@ namespace caffe {
 // Must be set before brewing
 Caffe::Brew Caffe::mode_ = Caffe::GPU;
 int Caffe::solver_count_ = 1;
+std::vector<int> Caffe::gpus_;
 int Caffe::root_device_ = -1;
 int Caffe::thread_count_ = 0;
 int Caffe::restored_iter_ = -1;
@@ -453,23 +454,27 @@ CuDNNHandle::~CuDNNHandle() {
 }
 #endif
 
-Caffe::Properties Caffe::props_;
+Caffe::Properties& Caffe::props() {
+  static Caffe::Properties props_;
+  return props_;
+}
 
 Caffe::Properties::Properties() :
       init_time_(std::time(nullptr)),
       main_thread_id_(lwp_id()),
       caffe_version_(AS_STRING(CAFFE_VERSION)) {
-  const int count = Caffe::device_count();
+  const std::vector<int>& gpus = Caffe::gpus();
+  const int count = gpus.size();
   if (count == 0) {
     return;
   }
   compute_capabilities_.resize(count);
   cudaDeviceProp device_prop;
   for (int gpu = 0; gpu < compute_capabilities_.size(); ++gpu) {
-    CUDA_CHECK(cudaGetDeviceProperties(&device_prop, gpu));
+    CUDA_CHECK(cudaGetDeviceProperties(&device_prop, gpus[gpu]));
     compute_capabilities_[gpu] = device_prop.major * 100 + device_prop.minor;
-    DLOG(INFO) << "GPU " << gpu << " '" << device_prop.name << "' has compute capability "
-        << device_prop.major << "." << device_prop.minor;
+    DLOG(INFO) << "GPU " << gpus[gpu] << " '" << device_prop.name
+               << "' has compute capability " << device_prop.major << "." << device_prop.minor;
   }
 #ifdef USE_CUDNN
   cudnn_version_ = std::to_string(cudnnGetVersion());
diff --git a/src/caffe/data_reader.cpp b/src/caffe/data_reader.cpp
index ba94cbc6e8d..74005968646 100644
--- a/src/caffe/data_reader.cpp
+++ b/src/caffe/data_reader.cpp
@@ -2,17 +2,20 @@
 #include <sys/sysinfo.h>
 
 #include "caffe/util/rng.hpp"
-#include "caffe/common.hpp"
 #include "caffe/parallel.hpp"
 #include "caffe/data_reader.hpp"
 
 namespace caffe {
 
-std::mutex DataReader::db_mutex_;
-std::mutex DataReader::DataCache::cache_mutex_;
-unique_ptr<DataReader::DataCache> DataReader::DataCache::data_cache_inst_;
+template<typename DatumType>
+std::mutex DataReader<DatumType>::db_mutex_;
+// https://stackoverflow.com/questions/26935824/gcc-gives-an-undefined-reference-error-to-static-data-members-in-templated-cla
 
-DataReader::DataReader(const LayerParameter& param,
+template<typename DatumType>
+std::mutex DataReader<DatumType>::DataCache::cache_mutex_{};
+
+template<typename DatumType>
+DataReader<DatumType>::DataReader(const LayerParameter& param,
     size_t solver_count,
     size_t solver_rank,
     size_t parser_threads_num,
@@ -55,26 +58,29 @@ DataReader::DataReader(const LayerParameter& param,
   LOG(INFO) << (sample_only ? "Sample " : "") << "Data Reader threads: "
       << this->threads_num() << ", out queues: " << queues_num_ << ", depth: " << queue_depth_;
   for (size_t i = 0; i < queues_num_; ++i) {
-    full_[i] = make_shared<BlockingQueue<shared_ptr<Datum>>>();
-    free_[i] = make_shared<BlockingQueue<shared_ptr<Datum>>>();
+    full_[i] = make_shared<BlockingQueue<shared_ptr<DatumType>>>();
+    free_[i] = make_shared<BlockingQueue<shared_ptr<DatumType>>>();
     for (size_t j = 0; j < queue_depth_ - 1U; ++j) {  // +1 in InternalThreadEntryN
-      free_[i]->push(make_shared<Datum>());
+      free_[i]->push(make_shared<DatumType>());
     }
   }
   db_source_ = param.data_param().source();
-  init_ = make_shared<BlockingQueue<shared_ptr<Datum>>>();
+  init_ = make_shared<BlockingQueue<shared_ptr<DatumType>>>();
   StartInternalThread(false, Caffe::next_seed());
 }
 
-DataReader::~DataReader() {
+template<typename DatumType>
+DataReader<DatumType>::~DataReader() {
   StopInternalThread();
 }
 
-void DataReader::InternalThreadEntry() {
+template<typename DatumType>
+void DataReader<DatumType>::InternalThreadEntry() {
   InternalThreadEntryN(0U);
 }
 
-void DataReader::InternalThreadEntryN(size_t thread_id) {
+template<typename DatumType>
+void DataReader<DatumType>::InternalThreadEntryN(size_t thread_id) {
   if (cache_) {
     data_cache_->check_db(db_source_);
     data_cache_->register_new_thread();
@@ -97,7 +103,7 @@ void DataReader::InternalThreadEntryN(size_t thread_id) {
       cache_ && !sample_only_,
       shuffle_ && !sample_only_,
       epoch_count_required_);
-  shared_ptr<Datum> init_datum = make_shared<Datum>();
+  shared_ptr<DatumType> init_datum = make_shared<DatumType>();
   cm.fetch(init_datum.get());
   init_->push(init_datum);
 
@@ -108,7 +114,7 @@ void DataReader::InternalThreadEntryN(size_t thread_id) {
   size_t skip = skip_one_batch_ ? batch_size_ : 0UL;
 
   size_t queue_id, ranked_rec, batch_on_solver, sample_count = 0UL;
-  shared_ptr<Datum> datum = make_shared<Datum>();
+  shared_ptr<DatumType> datum = make_shared<DatumType>();
   try {
     while (!must_stop(thread_id)) {
       cm.next(datum);
@@ -137,13 +143,15 @@ void DataReader::InternalThreadEntryN(size_t thread_id) {
   }
 }
 
-shared_ptr<Datum>& DataReader::DataCache::next_new() {
+template<typename DatumType>
+shared_ptr<DatumType>& DataReader<DatumType>::DataCache::next_new() {
   std::lock_guard<std::mutex> lock(cache_mutex_);
-  cache_buffer_.emplace_back(make_shared<Datum>());
+  cache_buffer_.emplace_back(make_shared<DatumType>());
   return cache_buffer_.back();
 }
 
-shared_ptr<Datum>& DataReader::DataCache::next_cached(DataReader& reader) {
+template<typename DatumType>
+shared_ptr<DatumType>& DataReader<DatumType>::DataCache::next_cached(DataReader& reader) {
   if (just_cached_.load()) {
     cache_bar_.wait();
     just_cached_.store(false);
@@ -170,19 +178,21 @@ shared_ptr<Datum>& DataReader::DataCache::next_cached(DataReader& reader) {
     LOG(INFO) << "Shuffling " << cache_buffer_.size() << " records...";
     caffe::shuffle(cache_buffer_.begin(), cache_buffer_.end());
   }
-  shared_ptr<Datum>& datum = cache_buffer_[cache_idx_++];
+  shared_ptr<DatumType>& datum = cache_buffer_[cache_idx_++];
   if (cache_idx_ >= cache_buffer_.size()) {
     cache_idx_= 0UL;
   }
   return datum;
 }
 
-void DataReader::DataCache::just_cached() {
+template<typename DatumType>
+void DataReader<DatumType>::DataCache::just_cached() {
   just_cached_.store(true);
   cached_flags_[lwp_id()]->set();
 }
 
-bool DataReader::DataCache::check_memory() {
+template<typename DatumType>
+bool DataReader<DatumType>::DataCache::check_memory() {
 #ifdef __APPLE__
   return true;
 #else
@@ -240,7 +250,8 @@ bool DataReader::DataCache::check_memory() {
 #endif
 }
 
-DataReader::CursorManager::CursorManager(db::DB* db, DataReader* reader,
+template<typename DatumType>
+DataReader<DatumType>::CursorManager::CursorManager(db::DB* db, DataReader<DatumType>* reader,
     size_t solver_count, size_t solver_rank, size_t parser_threads, size_t parser_thread_id,
     size_t batch_size, bool cache, bool shuffle, bool epoch_count_required)
     : db_(db),
@@ -261,12 +272,14 @@ DataReader::CursorManager::CursorManager(db::DB* db, DataReader* reader,
       epoch_count_(0UL),
       epoch_count_required_(epoch_count_required) {}
 
-DataReader::CursorManager::~CursorManager() {
+template<typename DatumType>
+DataReader<DatumType>::CursorManager::~CursorManager() {
   cursor_.reset();
   db_->Close();
 }
 
-void DataReader::CursorManager::next(shared_ptr<Datum>& datum) {
+template<typename DatumType>
+void DataReader<DatumType>::CursorManager::next(shared_ptr<DatumType>& datum) {
   if (cached_all_) {
     datum = reader_->next_cached();
   } else {
@@ -332,7 +345,8 @@ S1 |                          r1pt1.q1                    --> S1.tr0 S1.q2
       <-- rank cycle ->
       <---------- full cycle ----------->
 */
-void DataReader::CursorManager::rewind() {
+template<typename DatumType>
+void DataReader<DatumType>::CursorManager::rewind() {
   CHECK(parser_threads_);
   size_t rank_cycle_begin = rank_cycle_ * solver_rank_;
   rec_id_ = rank_cycle_begin + parser_thread_id_ * batch_size_;
@@ -346,7 +360,8 @@ void DataReader::CursorManager::rewind() {
   }
 }
 
-void DataReader::CursorManager::fetch(Datum* datum) {
+template<>
+void DataReader<Datum>::CursorManager::fetch(Datum* datum) {
   C2TensorProtos protos;
   if (cursor_->parse(&protos) && protos.protos_size() >= 2) {
     C2TensorProto* image_proto = protos.mutable_protos(0);
@@ -378,4 +393,14 @@ void DataReader::CursorManager::fetch(Datum* datum) {
   // DLOG(INFO) << cursor_->key() << " " << datum->label();
 }
 
+template<>
+void DataReader<AnnotatedDatum>::CursorManager::fetch(AnnotatedDatum* datum) {
+  if (!cursor_->parse(datum)) {
+    LOG(ERROR) << "Database cursor failed to parse Datum record";
+  }
+}
+
+template class DataReader<Datum>;
+template class DataReader<AnnotatedDatum>;
+
 }  // namespace caffe
diff --git a/src/caffe/data_transformer.cpp b/src/caffe/data_transformer.cpp
index d0454efa15b..b8894e1f607 100644
--- a/src/caffe/data_transformer.cpp
+++ b/src/caffe/data_transformer.cpp
@@ -1,23 +1,28 @@
 #include <opencv2/core/core.hpp>
 #include <opencv2/imgproc/imgproc.hpp>
 #include <opencv2/highgui/highgui.hpp>
-#include <string>
-#include <vector>
 
 #include "caffe/data_transformer.hpp"
+#include "caffe/util/bbox_util.hpp"
+#include "caffe/util/im_transforms.hpp"
 #include "caffe/util/rng.hpp"
+#include "caffe/proto/caffe.pb.h"
+
 
 namespace caffe {
 
-bool DataTransformer::image_random_crop_enabled() const {
+template<typename Dtype>
+bool DataTransformer<Dtype>::image_random_crop_enabled() const {
   return this->phase_ == TRAIN && param_.crop_size() > 0;
 }
 
-bool DataTransformer::image_center_crop_enabled() const {
+template<typename Dtype>
+bool DataTransformer<Dtype>::image_center_crop_enabled() const {
   return this->phase_ == TEST && param_.crop_size() > 0;
 }
 
-DataTransformer::DataTransformer(const TransformationParameter& param, Phase phase)
+template<typename Dtype>
+DataTransformer<Dtype>::DataTransformer(const TransformationParameter& param, Phase phase)
     : param_(param), phase_(phase),
       rand_resize_ratio_lower_(param_.rand_resize_ratio_lower()),
       rand_resize_ratio_upper_(param_.rand_resize_ratio_upper()),
@@ -49,7 +54,8 @@ DataTransformer::DataTransformer(const TransformationParameter& param, Phase pha
   InitRand();
 }
 
-void DataTransformer::image_random_resize(const cv::Mat& src, cv::Mat& dst) {
+template<typename Dtype>
+void DataTransformer<Dtype>::image_random_resize(const cv::Mat& src, cv::Mat& dst) const {
   if (!image_random_resize_enabled()) {
     dst = src;
     return;
@@ -114,7 +120,8 @@ void DataTransformer::image_random_resize(const cv::Mat& src, cv::Mat& dst) {
   }
 }
 
-bool DataTransformer::image_random_resize_enabled() const {
+template<typename Dtype>
+bool DataTransformer<Dtype>::image_random_resize_enabled() const {
   const int resize_lower = param_.img_rand_resize_lower();
   const int resize_upper = param_.img_rand_resize_upper();
   const bool use_rand_resize =
@@ -127,7 +134,8 @@ bool DataTransformer::image_random_resize_enabled() const {
   return resize_lower != 0 || resize_upper != 0 || use_rand_resize;
 }
 
-void DataTransformer::image_random_crop(int crop_w, int crop_h, cv::Mat& img) {
+template<typename Dtype>
+void DataTransformer<Dtype>::image_random_crop(int crop_w, int crop_h, cv::Mat& img) const {
   CHECK_GT(crop_w, 0) << "crop_w parameter must be positive";
   CHECK_GT(crop_h, 0) << "crop_h parameter must be positive";
   const int img_width = img.cols;
@@ -143,7 +151,8 @@ void DataTransformer::image_random_crop(int crop_w, int crop_h, cv::Mat& img) {
   img = img(roi).clone();
 }
 
-void DataTransformer::image_center_crop(int crop_w, int crop_h, cv::Mat& img) {
+template<typename Dtype>
+void DataTransformer<Dtype>::image_center_crop(int crop_w, int crop_h, cv::Mat& img) const {
   CHECK_GT(crop_w, 0) << "center crop_w parameter must be positive";
   CHECK_GT(crop_h, 0) << "center crop_h parameter must be positive";
   const int img_width = img.cols;
@@ -159,7 +168,8 @@ void DataTransformer::image_center_crop(int crop_w, int crop_h, cv::Mat& img) {
   img = img(roi).clone();
 }
 
-void DataTransformer::apply_mean_scale_mirror(const cv::Mat& src, cv::Mat& dst) {
+template<typename Dtype>
+void DataTransformer<Dtype>::apply_mean_scale_mirror(const cv::Mat& src, cv::Mat& dst) const {
   const float scale = param_.scale();
   const bool has_mean_file = param_.has_mean_file();
   const bool has_mean_values = !mean_values_.empty();
@@ -202,21 +212,24 @@ void DataTransformer::apply_mean_scale_mirror(const cv::Mat& src, cv::Mat& dst)
   }
 }
 
-void DataTransformer::InitRand() {
+template<typename Dtype>
+void DataTransformer<Dtype>::InitRand() {
   // Use random_seed setting for deterministic transformations
   const uint64_t random_seed = param_.random_seed() >= 0 ?
       static_cast<uint64_t>(param_.random_seed()) : Caffe::next_seed();
   rng_.reset(new Caffe::RNG(random_seed));
 }
 
-unsigned int DataTransformer::Rand() const {
+template<typename Dtype>
+unsigned int DataTransformer<Dtype>::Rand() const {
   CHECK(rng_);
   caffe::rng_t *rng = static_cast<caffe::rng_t*>(rng_->generator());
   // this doesn't actually produce a uniform distribution
   return (*rng)();
 }
 
-float DataTransformer::Rand(float a, float b) const {
+template<typename Dtype>
+float DataTransformer<Dtype>::Rand(float a, float b) const {
   if (a == b) {
     return a;
   }
@@ -226,28 +239,71 @@ float DataTransformer::Rand(float a, float b) const {
   return static_cast<float>(lo + (up - lo) * r / UM);
 }
 
-// tests only, TODO: clean
-void DataTransformer::VariableSizedTransforms(Datum* datum) {
-  cv::Mat img1, img2;
-  const int color_mode = param_.force_color() ? 1 : (param_.force_gray() ? -1 : 0);
-  if (datum->encoded()) {
-    DecodeDatumToCVMat(*datum, color_mode, img1, false);
-  } else {
-    DatumToCVMat(*datum, img1, false);
-  }
+template<typename Dtype>
+void DataTransformer<Dtype>::Copy(const cv::Mat& cv_img, Dtype *data) {
+  const int channels = cv_img.channels();
+  const int height = cv_img.rows;
+  const int width = cv_img.cols;
 
-  image_random_resize(img1, img2);
+  CHECK(cv_img.depth() == CV_8U) << "Image data type must be unsigned byte";
 
-  if (image_random_crop_enabled()) {
-    image_random_crop(param_.crop_size(), param_.crop_size(), img2);
+  int top_index;
+  for (int c = 0; c < channels; ++c) {
+    for (int h = 0; h < height; ++h) {
+      const uchar *ptr = cv_img.ptr<uchar>(h);
+      for (int w = 0; w < width; ++w) {
+        int img_index = w * channels + c;
+        top_index = (c * height + h) * width + w;
+        data[top_index] = static_cast<Dtype>(ptr[img_index]);
+      }
+    }
+  }
+}
+
+template<typename Dtype>
+void DataTransformer<Dtype>::Copy(const Datum& datum, Dtype* data, size_t& out_sizeof_element) {
+  // If datum is encoded, decoded and transform the cv::image.
+  if (datum.encoded()) {
+    CHECK(!(param_.force_color() && param_.force_gray()))
+    << "cannot set both force_color and force_gray";
+    cv::Mat cv_img;
+    if (param_.force_color() || param_.force_gray()) {
+      // If force_color then decode in color otherwise decode in gray.
+      cv_img = DecodeDatumToCVMat(datum, param_.force_color());
+    } else {
+      cv_img = DecodeDatumToCVMatNative(datum);
+    }
+    // Transform the cv::image into blob.
+    Copy(cv_img, data);
+    out_sizeof_element = sizeof(Dtype);
+    return;
+  } else {
+    if (param_.force_color() || param_.force_gray()) {
+      LOG(ERROR) << "Force_color and force_gray are for encoded datum only";
+    }
   }
-  if (image_center_crop_enabled()) {
-    image_center_crop(param_.crop_size(), param_.crop_size(), img2);
+
+  const string& datum_data = datum.data();
+  const int N = datum.channels() * datum.height() * datum.width();
+  const void* src_ptr;
+  if (datum_data.size() > 0) {
+    CHECK_LE(sizeof(uint8_t), sizeof(Dtype));
+    CHECK_EQ(N, datum_data.size());
+    out_sizeof_element = sizeof(uint8_t);
+    src_ptr = &datum_data.front();
+  } else {
+    CHECK_LE(sizeof(float), sizeof(Dtype));
+    out_sizeof_element = sizeof(float);
+    src_ptr = &datum.float_data().Get(0);
   }
-  CVMatToDatum(img2, *datum);
+  cudaStream_t stream = Caffe::thread_stream();
+  CUDA_CHECK(cudaMemcpyAsync(data, src_ptr, N * out_sizeof_element,
+      cudaMemcpyHostToDevice, stream));
+  CUDA_CHECK(cudaStreamSynchronize(stream));
 }
 
-void DataTransformer::Fill3Randoms(unsigned int *rand) const {
+template<typename Dtype>
+void DataTransformer<Dtype>::Fill3Randoms(unsigned int *rand) const {
   rand[0] = rand[1] = rand[2] = 0;
   if (param_.mirror()) {
     rand[0] = Rand() + 1;
@@ -258,4 +314,1330 @@ void DataTransformer::Fill3Randoms(unsigned int *rand) const {
   }
 }
 
+template<typename Dtype>
+vector<int> DataTransformer<Dtype>::Transform(const Datum* datum, Dtype* buf, size_t buf_len,
+    Packing& out_packing, bool repack) {
+  vector<int> shape;
+  const bool shape_only = buf == nullptr;
+  CHECK(!(param_.force_color() && param_.force_gray()))
+  << "cannot set both force_color and force_gray";
+  const int color_mode = param_.force_color() ? 1 : (param_.force_gray() ? -1 : 0);
+  cv::Mat img;
+  bool v1_path = false;
+  if (datum->encoded()) {
+    shape = DecodeDatumToCVMat(*datum, color_mode, img, shape_only, false);
+    out_packing = NHWC;
+  } else {
+    if (image_random_resize_enabled() || buf == nullptr || buf_len == 0UL) {
+      shape = DatumToCVMat(*datum, img, shape_only);
+      out_packing = NHWC;
+    } else {
+      // here we can use fast V1 path
+      TransformV1(*datum, buf, buf_len);
+      shape = vector<int>{1, datum->channels(), datum->height(), datum->width()};
+      v1_path = true;
+      out_packing = NCHW;
+    }
+  }
+  if (param_.crop_size() > 0) {
+    shape[2] = param_.crop_size();
+    shape[3] = param_.crop_size();
+  }
+  if (!shape_only && !v1_path) {
+    CHECK_NOTNULL(img.data);
+    Transform(img, buf, buf_len, repack);
+    out_packing = NHWC;
+  }
+  return shape;
+}
+
+
+template<typename Dtype>
+void DataTransformer<Dtype>::Transform(const cv::Mat& src, Dtype* buf, size_t buf_len,
+    bool repack) const {
+  cv::Mat tmp, dst;
+
+  image_random_resize(src, tmp);
+
+  const int crop_w = param_.crop_w() > 0 ? param_.crop_w() : param_.crop_size();
+  const int crop_h = param_.crop_h() > 0 ? param_.crop_h() : param_.crop_size();
+  if (image_random_crop_enabled()) {
+    image_random_crop(crop_w, crop_h, tmp);
+  } else if (image_center_crop_enabled()) {
+    image_center_crop(crop_w, crop_h, tmp);
+  }
+  apply_mean_scale_mirror(tmp, dst);
+  FloatCVMatToBuf<Dtype>(dst, buf_len, buf, repack);
+}
+
+template<typename Dtype>
+void DataTransformer<Dtype>::Transform(const vector<cv::Mat>& mat_vector,
+    TBlob<Dtype>* transformed_blob) const {
+  const size_t mat_num = mat_vector.size();
+  const int num = transformed_blob->num();
+  CHECK_GT(mat_num, 0) << "There is no MAT to add";
+  CHECK_EQ(mat_num, num) << "The size of mat_vector must be equals to transformed_blob->num()";
+  cv::Mat dst;
+  size_t buf_len = transformed_blob->offset(1);
+  for (size_t item_id = 0; item_id < mat_num; ++item_id) {
+    size_t offset = transformed_blob->offset(item_id);
+    apply_mean_scale_mirror(mat_vector[item_id], dst);
+    FloatCVMatToBuf<Dtype>(dst, buf_len, transformed_blob->mutable_cpu_data(false) + offset);
+  }
+}
+
+template<typename Dtype>
+void DataTransformer<Dtype>::Transform(const vector<Datum>& datum_vector,
+    TBlob<Dtype> *transformed_blob) const {
+  const int datum_num = datum_vector.size();
+  const int num = transformed_blob->num();
+  const int channels = transformed_blob->channels();
+  const int height = transformed_blob->height();
+  const int width = transformed_blob->width();
+
+  CHECK_GT(datum_num, 0) << "There is no datum to add";
+  CHECK_LE(datum_num, num)
+    << "The size of datum_vector must be no greater than transformed_blob->num()";
+  TBlob<Dtype> uni_blob(1, channels, height, width);
+  for (int item_id = 0; item_id < datum_num; ++item_id) {
+    int offset = transformed_blob->offset(item_id);
+    uni_blob.set_cpu_data(transformed_blob->mutable_cpu_data() + offset);
+    Transform(datum_vector[item_id], &uni_blob);
+  }
+}
+
+template<typename Dtype>
+void DataTransformer<Dtype>::Transform(const Datum& datum,
+                                       TBlob<Dtype>* transformed_blob,
+                                       NormalizedBBox* crop_bbox,
+                                       bool* do_mirror) {
+  // If datum is encoded, decoded and transform the cv::image.
+  if (datum.encoded()) {
+    CHECK(!(param_.force_color() && param_.force_gray()))
+        << "cannot set both force_color and force_gray";
+    cv::Mat cv_img;
+    if (param_.force_color() || param_.force_gray()) {
+    // If force_color then decode in color otherwise decode in gray.
+      cv_img = DecodeDatumToCVMat(datum, param_.force_color());
+    } else {
+      cv_img = DecodeDatumToCVMatNative(datum);
+    }
+    // Transform the cv::image into blob.
+    return Transform(cv_img, transformed_blob, crop_bbox, do_mirror);
+  } else {
+    if (param_.force_color() || param_.force_gray()) {
+      LOG(ERROR) << "force_color and force_gray only for encoded datum";
+    }
+  }
+
+  const int crop_size = param_.crop_size();
+  const int datum_channels = datum.channels();
+  const int datum_height = datum.height();
+  const int datum_width = datum.width();
+
+  // Check dimensions.
+  const int channels = transformed_blob->channels();
+  const int height = transformed_blob->height();
+  const int width = transformed_blob->width();
+  const int num = transformed_blob->num();
+
+  CHECK_EQ(channels, datum_channels);
+  CHECK_LE(height, datum_height);
+  CHECK_LE(width, datum_width);
+  CHECK_GE(num, 1);
+
+  if (crop_size) {
+    CHECK_EQ(crop_size, height);
+    CHECK_EQ(crop_size, width);
+  } else {
+    CHECK_EQ(datum_height, height);
+    CHECK_EQ(datum_width, width);
+  }
+
+  Dtype* transformed_data = transformed_blob->mutable_cpu_data();
+  Transform(datum, transformed_data, crop_bbox, do_mirror);
+}
+
+
+template<typename Dtype>
+void DataTransformer<Dtype>::Transform(
+    const AnnotatedDatum& anno_datum, TBlob<Dtype>* transformed_blob,
+    RepeatedPtrField<AnnotationGroup>* transformed_anno_group_all,
+    bool* do_mirror) {
+  // Transform datum.
+  const Datum& datum = anno_datum.datum();
+  NormalizedBBox crop_bbox;
+  Transform(datum, transformed_blob, &crop_bbox, do_mirror);
+
+  // Transform annotation.
+  const bool do_resize = true;
+  TransformAnnotation(anno_datum, do_resize, crop_bbox, *do_mirror,
+                      transformed_anno_group_all);
+}
+
+template<typename Dtype>
+void DataTransformer<Dtype>::Transform(
+    const AnnotatedDatum& anno_datum, TBlob<Dtype>* transformed_blob,
+    RepeatedPtrField<AnnotationGroup>* transformed_anno_group_all) {
+  bool do_mirror;
+  Transform(anno_datum, transformed_blob, transformed_anno_group_all,
+            &do_mirror);
+}
+
+template<typename Dtype>
+void DataTransformer<Dtype>::Transform(
+    const AnnotatedDatum& anno_datum, TBlob<Dtype>* transformed_blob,
+    vector<AnnotationGroup>* transformed_anno_vec, bool* do_mirror) {
+  RepeatedPtrField<AnnotationGroup> transformed_anno_group_all;
+  Transform(anno_datum, transformed_blob, &transformed_anno_group_all,
+            do_mirror);
+  for (int g = 0; g < transformed_anno_group_all.size(); ++g) {
+    transformed_anno_vec->push_back(transformed_anno_group_all.Get(g));
+  }
+}
+
+template<typename Dtype>
+void DataTransformer<Dtype>::Transform(
+    const AnnotatedDatum& anno_datum, TBlob<Dtype>* transformed_blob,
+    vector<AnnotationGroup>* transformed_anno_vec) {
+  bool do_mirror;
+  Transform(anno_datum, transformed_blob, transformed_anno_vec, &do_mirror);
+}
+
+// Transform and return the transformation information.
+template<typename Dtype>
+void DataTransformer<Dtype>::Transform(const Datum& datum, Dtype* transformed_data,
+               NormalizedBBox* crop_bbox, bool* do_mirror) {
+  const string& data = datum.data();
+  const int datum_channels = datum.channels();
+  const int datum_height = datum.height();
+  const int datum_width = datum.width();
+
+  const int crop_size = param_.crop_size();
+  const Dtype scale = param_.scale();
+  *do_mirror = param_.mirror() && Rand(2);
+  const bool has_mean_file = param_.has_mean_file();
+  const bool has_uint8 = data.size() > 0;
+  const bool has_mean_values = mean_values_.size() > 0;
+
+  CHECK_GT(datum_channels, 0);
+  CHECK_GE(datum_height, crop_size);
+  CHECK_GE(datum_width, crop_size);
+
+  float* mean = NULL;
+  if (has_mean_file) {
+    CHECK_EQ(datum_channels, data_mean_.channels());
+    CHECK_EQ(datum_height, data_mean_.height());
+    CHECK_EQ(datum_width, data_mean_.width());
+    mean = data_mean_.mutable_cpu_data();
+  }
+  if (has_mean_values) {
+    CHECK(mean_values_.size() == 1 || mean_values_.size() == datum_channels) <<
+        "Specify either 1 mean_value or as many as channels: " << datum_channels;
+    if (datum_channels > 1 && mean_values_.size() == 1) {
+      // Replicate the mean_value for simplicity
+      for (int c = 1; c < datum_channels; ++c) {
+        mean_values_.push_back(mean_values_[0]);
+      }
+    }
+  }
+
+  int height = datum_height;
+  int width = datum_width;
+
+  int h_off = 0;
+  int w_off = 0;
+  if (crop_size) {
+    height = crop_size;
+    width = crop_size;
+    // We only do random crop when we do training.
+    if (phase_ == TRAIN) {
+      h_off = Rand(datum_height - crop_size + 1);
+      w_off = Rand(datum_width - crop_size + 1);
+    } else {
+      h_off = (datum_height - crop_size) / 2;
+      w_off = (datum_width - crop_size) / 2;
+    }
+  }
+
+  // Return the normalized crop bbox.
+  crop_bbox->set_xmin(Dtype(w_off) / datum_width);
+  crop_bbox->set_ymin(Dtype(h_off) / datum_height);
+  crop_bbox->set_xmax(Dtype(w_off + width) / datum_width);
+  crop_bbox->set_ymax(Dtype(h_off + height) / datum_height);
+
+  Dtype datum_element;
+  int top_index, data_index;
+  for (int c = 0; c < datum_channels; ++c) {
+    for (int h = 0; h < height; ++h) {
+      for (int w = 0; w < width; ++w) {
+        data_index = (c * datum_height + h_off + h) * datum_width + w_off + w;
+        if (*do_mirror) {
+          top_index = (c * height + h) * width + (width - 1 - w);
+        } else {
+          top_index = (c * height + h) * width + w;
+        }
+        if (has_uint8) {
+          datum_element =
+              static_cast<Dtype>(static_cast<uint8_t>(data[data_index]));
+        } else {
+          datum_element = datum.float_data(data_index);
+        }
+        if (has_mean_file) {
+          transformed_data[top_index] =
+              (datum_element - mean[data_index]) * scale;
+        } else {
+          if (has_mean_values) {
+            transformed_data[top_index] =
+                (datum_element - mean_values_[c]) * scale;
+          } else {
+            transformed_data[top_index] = datum_element * scale;
+          }
+        }
+      }
+    }
+  }
+}
+
+
+template<typename Dtype>
+void DataTransformer<Dtype>::TransformAnnotation(
+    const AnnotatedDatum& anno_datum, const bool do_resize,
+    const NormalizedBBox& crop_bbox, const bool do_mirror,
+    RepeatedPtrField<AnnotationGroup>* transformed_anno_group_all) {
+  const int img_height = anno_datum.datum().height();
+  const int img_width = anno_datum.datum().width();
+  if (anno_datum.type() == AnnotatedDatum_AnnotationType_BBOX) {
+    // Go through each AnnotationGroup.
+    for (int g = 0; g < anno_datum.annotation_group_size(); ++g) {
+      const AnnotationGroup& anno_group = anno_datum.annotation_group(g);
+      AnnotationGroup transformed_anno_group;
+      // Go through each Annotation.
+      bool has_valid_annotation = false;
+      for (int a = 0; a < anno_group.annotation_size(); ++a) {
+        const Annotation& anno = anno_group.annotation(a);
+        const NormalizedBBox& bbox = anno.bbox();
+        // Adjust bounding box annotation.
+        NormalizedBBox resize_bbox = bbox;
+        if (do_resize && param_.has_resize_param()) {
+          CHECK_GT(img_height, 0);
+          CHECK_GT(img_width, 0);
+          UpdateBBoxByResizePolicy(param_.resize_param(), img_width, img_height,
+                                   &resize_bbox);
+        }
+        if (param_.has_emit_constraint() &&
+            !MeetEmitConstraint(crop_bbox, resize_bbox,
+                                param_.emit_constraint())) {
+          continue;
+        }
+        NormalizedBBox proj_bbox;
+        if (ProjectBBox(crop_bbox, resize_bbox, &proj_bbox)) {
+          has_valid_annotation = true;
+          Annotation* transformed_anno =
+              transformed_anno_group.add_annotation();
+          transformed_anno->set_instance_id(anno.instance_id());
+          NormalizedBBox* transformed_bbox = transformed_anno->mutable_bbox();
+          transformed_bbox->CopyFrom(proj_bbox);
+          if (do_mirror) {
+            Dtype temp = transformed_bbox->xmin();
+            transformed_bbox->set_xmin(1 - transformed_bbox->xmax());
+            transformed_bbox->set_xmax(1 - temp);
+          }
+          if (do_resize && param_.has_resize_param()) {
+            ExtrapolateBBox(param_.resize_param(), img_height, img_width,
+                crop_bbox, transformed_bbox);
+          }
+        }
+      }
+      // Save for output.
+      if (has_valid_annotation) {
+        transformed_anno_group.set_group_label(anno_group.group_label());
+        transformed_anno_group_all->Add()->CopyFrom(transformed_anno_group);
+      }
+    }
+  } else {
+    LOG(FATAL) << "Unknown annotation type.";
+  }
+}
+
+template<typename Dtype>
+void DataTransformer<Dtype>::CropImage(const Datum& datum,
+                                       const NormalizedBBox& bbox,
+                                       Datum* crop_datum) {
+  // If datum is encoded, decode and crop the cv::image.
+  if (datum.encoded()) {
+    CHECK(!(param_.force_color() && param_.force_gray()))
+        << "cannot set both force_color and force_gray";
+    cv::Mat cv_img;
+    if (param_.force_color() || param_.force_gray()) {
+      // If force_color then decode in color otherwise decode in gray.
+      cv_img = DecodeDatumToCVMat(datum, param_.force_color());
+    } else {
+      cv_img = DecodeDatumToCVMatNative(datum);
+    }
+    // Crop the image.
+    cv::Mat crop_img;
+    CropImage(cv_img, bbox, &crop_img);
+    // Save the image into datum.
+    EncodeCVMatToDatum(crop_img, "jpg", crop_datum);
+    crop_datum->set_label(datum.label());
+    return;
+  } else {
+    if (param_.force_color() || param_.force_gray()) {
+      LOG(ERROR) << "force_color and force_gray only for encoded datum";
+    }
+  }
+
+  const int datum_channels = datum.channels();
+  const int datum_height = datum.height();
+  const int datum_width = datum.width();
+
+  // Get the bbox dimension.
+  NormalizedBBox clipped_bbox;
+  ClipBBox(bbox, &clipped_bbox);
+  NormalizedBBox scaled_bbox;
+  ScaleBBox(clipped_bbox, datum_height, datum_width, &scaled_bbox);
+  const int w_off = static_cast<int>(scaled_bbox.xmin());
+  const int h_off = static_cast<int>(scaled_bbox.ymin());
+  const int width = static_cast<int>(scaled_bbox.xmax() - scaled_bbox.xmin());
+  const int height = static_cast<int>(scaled_bbox.ymax() - scaled_bbox.ymin());
+
+  // Crop the image using bbox.
+  crop_datum->set_channels(datum_channels);
+  crop_datum->set_height(height);
+  crop_datum->set_width(width);
+  crop_datum->set_label(datum.label());
+  crop_datum->clear_data();
+  crop_datum->clear_float_data();
+  crop_datum->set_encoded(false);
+  const int crop_datum_size = datum_channels * height * width;
+  const std::string& datum_buffer = datum.data();
+  std::string buffer(crop_datum_size, ' ');
+  for (int h = h_off; h < h_off + height; ++h) {
+    for (int w = w_off; w < w_off + width; ++w) {
+      for (int c = 0; c < datum_channels; ++c) {
+        int datum_index = (c * datum_height + h) * datum_width + w;
+        int crop_datum_index = (c * height + h - h_off) * width + w - w_off;
+        buffer[crop_datum_index] = datum_buffer[datum_index];
+      }
+    }
+  }
+  crop_datum->set_data(buffer);
+}
+
+template<typename Dtype>
+void DataTransformer<Dtype>::CropImage(const AnnotatedDatum& anno_datum,
+                                       const NormalizedBBox& bbox,
+                                       AnnotatedDatum* cropped_anno_datum) {
+  // Crop the datum.
+  CropImage(anno_datum.datum(), bbox, cropped_anno_datum->mutable_datum());
+  cropped_anno_datum->set_type(anno_datum.type());
+
+  // Transform the annotation according to crop_bbox.
+  const bool do_resize = false;
+  const bool do_mirror = false;
+  NormalizedBBox crop_bbox;
+  ClipBBox(bbox, &crop_bbox);
+  TransformAnnotation(anno_datum, do_resize, crop_bbox, do_mirror,
+                      cropped_anno_datum->mutable_annotation_group());
+}
+
+template<typename Dtype>
+void DataTransformer<Dtype>::ExpandImage(const Datum& datum,
+                                         const float expand_ratio,
+                                         NormalizedBBox* expand_bbox,
+                                         Datum* expand_datum) {
+  // If datum is encoded, decode and crop the cv::image.
+  if (datum.encoded()) {
+    CHECK(!(param_.force_color() && param_.force_gray()))
+        << "cannot set both force_color and force_gray";
+    cv::Mat cv_img;
+    if (param_.force_color() || param_.force_gray()) {
+      // If force_color then decode in color otherwise decode in gray.
+      cv_img = DecodeDatumToCVMat(datum, param_.force_color());
+    } else {
+      cv_img = DecodeDatumToCVMatNative(datum);
+    }
+    // Expand the image.
+    cv::Mat expand_img;
+    ExpandImage(cv_img, expand_ratio, expand_bbox, &expand_img);
+    // Save the image into datum.
+    EncodeCVMatToDatum(expand_img, "jpg", expand_datum);
+    expand_datum->set_label(datum.label());
+    return;
+  } else {
+    if (param_.force_color() || param_.force_gray()) {
+      LOG(ERROR) << "force_color and force_gray only for encoded datum";
+    }
+  }
+
+  const int datum_channels = datum.channels();
+  const int datum_height = datum.height();
+  const int datum_width = datum.width();
+
+  // Get the bbox dimension.
+  int height = static_cast<int>(datum_height * expand_ratio);
+  int width = static_cast<int>(datum_width * expand_ratio);
+  float h_off, w_off;
+  caffe_rng_uniform(1, 0.f, static_cast<float>(height - datum_height), &h_off);
+  caffe_rng_uniform(1, 0.f, static_cast<float>(width - datum_width), &w_off);
+  h_off = floor(h_off);
+  w_off = floor(w_off);
+  expand_bbox->set_xmin(-w_off/datum_width);
+  expand_bbox->set_ymin(-h_off/datum_height);
+  expand_bbox->set_xmax((width - w_off)/datum_width);
+  expand_bbox->set_ymax((height - h_off)/datum_height);
+
+  // Crop the image using bbox.
+  expand_datum->set_channels(datum_channels);
+  expand_datum->set_height(height);
+  expand_datum->set_width(width);
+  expand_datum->set_label(datum.label());
+  expand_datum->clear_data();
+  expand_datum->clear_float_data();
+  expand_datum->set_encoded(false);
+  const int expand_datum_size = datum_channels * height * width;
+  const std::string& datum_buffer = datum.data();
+  std::string buffer(expand_datum_size, ' ');
+  for (int h = h_off; h < h_off + datum_height; ++h) {
+    for (int w = w_off; w < w_off + datum_width; ++w) {
+      for (int c = 0; c < datum_channels; ++c) {
+        int datum_index =
+            (c * datum_height + h - h_off) * datum_width + w - w_off;
+        int expand_datum_index = (c * height + h) * width + w;
+        buffer[expand_datum_index] = datum_buffer[datum_index];
+      }
+    }
+  }
+  expand_datum->set_data(buffer);
+}
+
+template<typename Dtype>
+void DataTransformer<Dtype>::ExpandImage(const AnnotatedDatum& anno_datum,
+                                         AnnotatedDatum* expanded_anno_datum) {
+  if (!param_.has_expand_param()) {
+    expanded_anno_datum->CopyFrom(anno_datum);
+    return;
+  }
+  const ExpansionParameter& expand_param = param_.expand_param();
+  const float expand_prob = expand_param.prob();
+  float prob;
+  caffe_rng_uniform(1, 0.f, 1.f, &prob);
+  if (prob > expand_prob) {
+    expanded_anno_datum->CopyFrom(anno_datum);
+    return;
+  }
+  const float max_expand_ratio = expand_param.max_expand_ratio();
+  if (fabs(max_expand_ratio - 1.) < 1e-2) {
+    expanded_anno_datum->CopyFrom(anno_datum);
+    return;
+  }
+  float expand_ratio;
+  caffe_rng_uniform(1, 1.f, max_expand_ratio, &expand_ratio);
+  // Expand the datum.
+  NormalizedBBox expand_bbox;
+  ExpandImage(anno_datum.datum(), expand_ratio, &expand_bbox,
+              expanded_anno_datum->mutable_datum());
+  expanded_anno_datum->set_type(anno_datum.type());
+
+  // Transform the annotation according to crop_bbox.
+  const bool do_resize = false;
+  const bool do_mirror = false;
+  TransformAnnotation(anno_datum, do_resize, expand_bbox, do_mirror,
+                      expanded_anno_datum->mutable_annotation_group());
+}
+
+template<typename Dtype>
+void DataTransformer<Dtype>::DistortImage(const Datum& datum,
+                                          Datum* distort_datum) {
+  if (!param_.has_distort_param()) {
+    distort_datum->CopyFrom(datum);
+    return;
+  }
+  // If datum is encoded, decode and crop the cv::image.
+  if (datum.encoded()) {
+    CHECK(!(param_.force_color() && param_.force_gray()))
+        << "cannot set both force_color and force_gray";
+    cv::Mat cv_img;
+    if (param_.force_color() || param_.force_gray()) {
+      // If force_color then decode in color otherwise decode in gray.
+      cv_img = DecodeDatumToCVMat(datum, param_.force_color());
+    } else {
+      cv_img = DecodeDatumToCVMatNative(datum);
+    }
+    // Distort the image.
+    cv::Mat distort_img = ApplyDistort(cv_img, param_.distort_param());
+    // Save the image into datum.
+    EncodeCVMatToDatum(distort_img, "jpg", distort_datum);
+    distort_datum->set_label(datum.label());
+    return;
+  } else {
+    LOG(ERROR) << "Only support encoded datum now";
+  }
+}
+
+template<typename Dtype>
+void DataTransformer<Dtype>::Transform(const cv::Mat& cv_img,
+                                       TBlob<Dtype>* transformed_blob,
+                                       NormalizedBBox* crop_bbox,
+                                       bool* do_mirror) {
+  // Check dimensions.
+  const int img_channels = cv_img.channels();
+  const int channels = transformed_blob->channels();
+  const int height = transformed_blob->height();
+  const int width = transformed_blob->width();
+  const int num = transformed_blob->num();
+
+  CHECK_GT(img_channels, 0);
+  CHECK(cv_img.depth() == CV_8U) << "Image data type must be unsigned byte";
+  CHECK_EQ(channels, img_channels);
+  CHECK_GE(num, 1);
+
+  const int crop_size = param_.crop_size();
+  const Dtype scale = param_.scale();
+  *do_mirror = param_.mirror() && Rand(2);
+  const bool has_mean_file = param_.has_mean_file();
+  const bool has_mean_values = mean_values_.size() > 0;
+
+  float* mean = NULL;
+  if (has_mean_file) {
+    CHECK_EQ(img_channels, data_mean_.channels());
+    mean = data_mean_.mutable_cpu_data();
+  }
+  if (has_mean_values) {
+    CHECK(mean_values_.size() == 1 || mean_values_.size() == img_channels) <<
+        "Specify either 1 mean_value or as many as channels: " << img_channels;
+    if (img_channels > 1 && mean_values_.size() == 1) {
+      // Replicate the mean_value for simplicity
+      for (int c = 1; c < img_channels; ++c) {
+        mean_values_.push_back(mean_values_[0]);
+      }
+    }
+  }
+
+  int crop_h = param_.crop_h();
+  int crop_w = param_.crop_w();
+  if (crop_size) {
+    crop_h = crop_size;
+    crop_w = crop_size;
+  }
+
+  cv::Mat cv_resized_image, cv_noised_image, cv_cropped_image;
+  if (param_.has_resize_param()) {
+    cv_resized_image = ApplyResize(cv_img, param_.resize_param());
+  } else {
+    cv_resized_image = cv_img;
+  }
+  if (param_.has_noise_param()) {
+    cv_noised_image = ApplyNoise(cv_resized_image, param_.noise_param());
+  } else {
+    cv_noised_image = cv_resized_image;
+  }
+  int img_height = cv_noised_image.rows;
+  int img_width = cv_noised_image.cols;
+  CHECK_GE(img_height, crop_h);
+  CHECK_GE(img_width, crop_w);
+
+  int h_off = 0;
+  int w_off = 0;
+  if ((crop_h > 0) && (crop_w > 0)) {
+    CHECK_EQ(crop_h, height);
+    CHECK_EQ(crop_w, width);
+    // We only do random crop when we do training.
+    if (phase_ == TRAIN) {
+      h_off = Rand(img_height - crop_h + 1);
+      w_off = Rand(img_width - crop_w + 1);
+    } else {
+      h_off = (img_height - crop_h) / 2;
+      w_off = (img_width - crop_w) / 2;
+    }
+    cv::Rect roi(w_off, h_off, crop_w, crop_h);
+    cv_cropped_image = cv_noised_image(roi);
+  } else {
+    cv_cropped_image = cv_noised_image;
+  }
+
+  // Return the normalized crop bbox.
+  crop_bbox->set_xmin(Dtype(w_off) / img_width);
+  crop_bbox->set_ymin(Dtype(h_off) / img_height);
+  crop_bbox->set_xmax(Dtype(w_off + width) / img_width);
+  crop_bbox->set_ymax(Dtype(h_off + height) / img_height);
+
+  if (has_mean_file) {
+    CHECK_EQ(cv_cropped_image.rows, data_mean_.height());
+    CHECK_EQ(cv_cropped_image.cols, data_mean_.width());
+  }
+  CHECK(cv_cropped_image.data);
+
+  Dtype* transformed_data = transformed_blob->mutable_cpu_data();
+  int top_index;
+  for (int h = 0; h < height; ++h) {
+    const uchar* ptr = cv_cropped_image.ptr<uchar>(h);
+    int img_index = 0;
+    int h_idx = h;
+    for (int w = 0; w < width; ++w) {
+      int w_idx = w;
+      if (*do_mirror) {
+        w_idx = (width - 1 - w);
+      }
+      int h_idx_real = h_idx;
+      int w_idx_real = w_idx;
+      for (int c = 0; c < img_channels; ++c) {
+        top_index = (c * height + h_idx_real) * width + w_idx_real;
+        Dtype pixel = static_cast<Dtype>(ptr[img_index++]);
+        if (has_mean_file) {
+          int mean_index = (c * img_height + h_off + h_idx_real) * img_width
+              + w_off + w_idx_real;
+          transformed_data[top_index] =
+              (pixel - mean[mean_index]) * scale;
+        } else {
+          if (has_mean_values) {
+            transformed_data[top_index] =
+                (pixel - mean_values_[c]) * scale;
+          } else {
+            transformed_data[top_index] = pixel * scale;
+          }
+        }
+      }
+    }
+  }
+}
+
+template<typename Dtype>
+void DataTransformer<Dtype>::TransformInv(const Dtype* data, cv::Mat* cv_img,
+                                          const int height, const int width,
+                                          const int channels) {
+  const Dtype scale = param_.scale();
+  const bool has_mean_file = param_.has_mean_file();
+  const bool has_mean_values = mean_values_.size() > 0;
+
+  float* mean = NULL;
+  if (has_mean_file) {
+    CHECK_EQ(channels, data_mean_.channels());
+    CHECK_EQ(height, data_mean_.height());
+    CHECK_EQ(width, data_mean_.width());
+    mean = data_mean_.mutable_cpu_data();
+  }
+  if (has_mean_values) {
+    CHECK(mean_values_.size() == 1 || mean_values_.size() == channels) <<
+        "Specify either 1 mean_value or as many as channels: " << channels;
+    if (channels > 1 && mean_values_.size() == 1) {
+      // Replicate the mean_value for simplicity
+      for (int c = 1; c < channels; ++c) {
+        mean_values_.push_back(mean_values_[0]);
+      }
+    }
+  }
+
+  const int img_type = channels == 3 ? CV_8UC3 : CV_8UC1;
+  cv::Mat orig_img(height, width, img_type, cv::Scalar(0, 0, 0));
+  for (int h = 0; h < height; ++h) {
+    uchar* ptr = orig_img.ptr<uchar>(h);
+    int img_idx = 0;
+    for (int w = 0; w < width; ++w) {
+      for (int c = 0; c < channels; ++c) {
+        int idx = (c * height + h) * width + w;
+        if (has_mean_file) {
+          ptr[img_idx++] = static_cast<uchar>(data[idx] / scale + mean[idx]);
+        } else {
+          if (has_mean_values) {
+            ptr[img_idx++] =
+                static_cast<uchar>(data[idx] / scale + mean_values_[c]);
+          } else {
+            ptr[img_idx++] = static_cast<uchar>(data[idx] / scale);
+          }
+        }
+      }
+    }
+  }
+
+  if (param_.has_resize_param()) {
+    *cv_img = ApplyResize(orig_img, param_.resize_param());
+  } else {
+    *cv_img = orig_img;
+  }
+}
+
+template<typename Dtype>
+void DataTransformer<Dtype>::TransformInv(const Blob* blob,
+                                          vector<cv::Mat>* cv_imgs) {
+  const int channels = blob->channels();
+  const int height = blob->height();
+  const int width = blob->width();
+  const int num = blob->num();
+  CHECK_GE(num, 1);
+  const Dtype* image_data = blob->cpu_data<Dtype>();
+
+  for (int i = 0; i < num; ++i) {
+    cv::Mat cv_img;
+    TransformInv(image_data, &cv_img, height, width, channels);
+    cv_imgs->push_back(cv_img);
+    image_data += blob->offset(1);
+  }
+}
+
+template <typename Dtype>
+void DataTransformer<Dtype>::CropImage(const cv::Mat& img,
+                                       const NormalizedBBox& bbox,
+                                       cv::Mat* crop_img) {
+  const int img_height = img.rows;
+  const int img_width = img.cols;
+
+  // Get the bbox dimension.
+  NormalizedBBox clipped_bbox;
+  ClipBBox(bbox, &clipped_bbox);
+  NormalizedBBox scaled_bbox;
+  ScaleBBox(clipped_bbox, img_height, img_width, &scaled_bbox);
+
+  // Crop the image using bbox.
+  int w_off = static_cast<int>(scaled_bbox.xmin());
+  int h_off = static_cast<int>(scaled_bbox.ymin());
+  int width = static_cast<int>(scaled_bbox.xmax() - scaled_bbox.xmin());
+  int height = static_cast<int>(scaled_bbox.ymax() - scaled_bbox.ymin());
+  cv::Rect bbox_roi(w_off, h_off, width, height);
+
+  img(bbox_roi).copyTo(*crop_img);
+}
+
+template <typename Dtype>
+void DataTransformer<Dtype>::ExpandImage(const cv::Mat& img,
+                                         const float expand_ratio,
+                                         NormalizedBBox* expand_bbox,
+                                         cv::Mat* expand_img) {
+  const int img_height = img.rows;
+  const int img_width = img.cols;
+  const int img_channels = img.channels();
+
+  // Get the bbox dimension.
+  int height = static_cast<int>(img_height * expand_ratio);
+  int width = static_cast<int>(img_width * expand_ratio);
+  float h_off, w_off;
+  caffe_rng_uniform(1, 0.f, static_cast<float>(height - img_height), &h_off);
+  caffe_rng_uniform(1, 0.f, static_cast<float>(width - img_width), &w_off);
+  h_off = floor(h_off);
+  w_off = floor(w_off);
+  expand_bbox->set_xmin(-w_off/img_width);
+  expand_bbox->set_ymin(-h_off/img_height);
+  expand_bbox->set_xmax((width - w_off)/img_width);
+  expand_bbox->set_ymax((height - h_off)/img_height);
+
+  expand_img->create(height, width, img.type());
+  expand_img->setTo(cv::Scalar(0));
+  const bool has_mean_file = param_.has_mean_file();
+  const bool has_mean_values = mean_values_.size() > 0;
+
+  if (has_mean_file) {
+    CHECK_EQ(img_channels, data_mean_.channels());
+    CHECK_EQ(height, data_mean_.height());
+    CHECK_EQ(width, data_mean_.width());
+    float* mean = data_mean_.mutable_cpu_data();
+    for (int h = 0; h < height; ++h) {
+      uchar* ptr = expand_img->ptr<uchar>(h);
+      int img_index = 0;
+      for (int w = 0; w < width; ++w) {
+        for (int c = 0; c < img_channels; ++c) {
+          int blob_index = (c * height + h) * width + w;
+          ptr[img_index++] = static_cast<char>(mean[blob_index]);
+        }
+      }
+    }
+  }
+  if (has_mean_values) {
+    CHECK(mean_values_.size() == 1 || mean_values_.size() == img_channels) <<
+        "Specify either 1 mean_value or as many as channels: " << img_channels;
+    if (img_channels > 1 && mean_values_.size() == 1) {
+      // Replicate the mean_value for simplicity
+      for (int c = 1; c < img_channels; ++c) {
+        mean_values_.push_back(mean_values_[0]);
+      }
+    }
+    vector<cv::Mat> channels(img_channels);
+    cv::split(*expand_img, channels);
+    CHECK_EQ(channels.size(), mean_values_.size());
+    for (int c = 0; c < img_channels; ++c) {
+      channels[c] = mean_values_[c];
+    }
+    cv::merge(channels, *expand_img);
+  }
+
+  cv::Rect bbox_roi(w_off, h_off, img_width, img_height);
+  img.copyTo((*expand_img)(bbox_roi));
+}
+
+template<typename Dtype>
+vector<int> DataTransformer<Dtype>::InferBlobShape(const Datum& datum) {
+  if (datum.encoded()) {
+    CHECK(!(param_.force_color() && param_.force_gray()))
+        << "cannot set both force_color and force_gray";
+    cv::Mat cv_img;
+    if (param_.force_color() || param_.force_gray()) {
+    // If force_color then decode in color otherwise decode in gray.
+      cv_img = DecodeDatumToCVMat(datum, param_.force_color());
+    } else {
+      cv_img = DecodeDatumToCVMatNative(datum);
+    }
+    // InferBlobShape using the cv::image.
+    return InferBlobShape(cv_img);
+  }
+  const int crop_size = param_.crop_size();
+  int crop_h = param_.crop_h();
+  int crop_w = param_.crop_w();
+  if (crop_size) {
+    crop_h = crop_size;
+    crop_w = crop_size;
+  }
+  const int datum_channels = datum.channels();
+  int datum_height = datum.height();
+  int datum_width = datum.width();
+
+  // Check dimensions.
+  CHECK_GT(datum_channels, 0);
+  if (param_.has_resize_param()) {
+    InferNewSize(param_.resize_param(), datum_width, datum_height,
+                 &datum_width, &datum_height);
+  }
+  CHECK_GE(datum_height, crop_h);
+  CHECK_GE(datum_width, crop_w);
+
+  // Build BlobShape.
+  vector<int> shape(4);
+  shape[0] = 1;
+  shape[1] = datum_channels;
+  shape[2] = (crop_h)? crop_h: datum_height;
+  shape[3] = (crop_w)? crop_w: datum_width;
+  return shape;
+}
+
+template<typename Dtype>
+vector<int> DataTransformer<Dtype>::InferBlobShape(
+    const vector<Datum> & datum_vector) {
+  const int num = datum_vector.size();
+  CHECK_GT(num, 0) << "There is no datum to in the vector";
+  // Use first datum in the vector to InferBlobShape.
+  vector<int> shape = InferBlobShape(datum_vector[0]);
+  // Adjust num to the size of the vector.
+  shape[0] = num;
+  return shape;
+}
+
+template<typename Dtype>
+vector<int> DataTransformer<Dtype>::InferBlobShape(const cv::Mat& cv_img) {
+  const int crop_size = param_.crop_size();
+  int crop_h = param_.crop_h();
+  int crop_w = param_.crop_w();
+  if (crop_size) {
+    crop_h = crop_size;
+    crop_w = crop_size;
+  }
+  const int img_channels = cv_img.channels();
+  int img_height = cv_img.rows;
+  int img_width = cv_img.cols;
+  // Check dimensions.
+  CHECK_GT(img_channels, 0);
+  if (param_.has_resize_param()) {
+    InferNewSize(param_.resize_param(), img_width, img_height,
+                 &img_width, &img_height);
+  }
+  CHECK_GE(img_height, crop_h);
+  CHECK_GE(img_width, crop_w);
+
+  // Build BlobShape.
+  vector<int> shape(4);
+  shape[0] = 1;
+  shape[1] = img_channels;
+  shape[2] = (crop_h)? crop_h: img_height;
+  shape[3] = (crop_w)? crop_w: img_width;
+  return shape;
+}
+
+template<typename Dtype>
+vector<int> DataTransformer<Dtype>::InferDatumShape(const Datum& datum) {
+  if (datum.encoded()) {
+    CHECK(!(param_.force_color() && param_.force_gray()))
+    << "cannot set both force_color and force_gray";
+    cv::Mat cv_img;
+    if (param_.force_color() || param_.force_gray()) {
+      // If force_color then decode in color otherwise decode in gray.
+      cv_img = DecodeDatumToCVMat(datum, param_.force_color());
+    } else {
+      cv_img = DecodeDatumToCVMatNative(datum);
+    }
+    // Infer shape using the cv::image.
+    return InferCVMatShape(cv_img);
+  }
+  const int datum_channels = datum.channels();
+  const int datum_height = datum.height();
+  const int datum_width = datum.width();
+  vector<int> datum_shape(4);
+  datum_shape[0] = 1;
+  datum_shape[1] = datum_channels;
+  datum_shape[2] = datum_height;
+  datum_shape[3] = datum_width;
+  return datum_shape;
+}
+
+template<typename Dtype>
+vector<int> DataTransformer<Dtype>::InferCVMatShape(const cv::Mat& cv_img) {
+  int img_channels = cv_img.channels();
+  int img_height = cv_img.rows;
+  int img_width = cv_img.cols;
+  vector<int> shape(4);
+  shape[0] = 1;
+  shape[1] = img_channels;
+  shape[2] = img_height;
+  shape[3] = img_width;
+
+  const int crop_size = param_.crop_size();
+  int crop_h = param_.crop_h();
+  int crop_w = param_.crop_w();
+  if (crop_size) {
+    crop_h = crop_size;
+    crop_w = crop_size;
+  }
+
+  // Check dimensions.
+  if (param_.has_resize_param()) {
+    InferNewSize(param_.resize_param(), img_width, img_height,
+        &img_width, &img_height);
+  }
+  CHECK_GE(img_height, crop_h);
+  CHECK_GE(img_width, crop_w);
+
+  // Build BlobShape.
+  shape[0] = 1;
+  shape[1] = img_channels;
+  shape[2] = (crop_h)? crop_h: img_height;
+  shape[3] = (crop_w)? crop_w: img_width;
+
+  return shape;
+}
+
+
+template<typename Dtype>
+vector<int> DataTransformer<Dtype>::InferBlobShape(const vector<int>& bottom_shape, bool use_gpu) {
+  const int crop_size = param_.crop_size();
+  CHECK_EQ(bottom_shape.size(), 4);
+  CHECK_EQ(bottom_shape[0], 1);
+  const int bottom_channels = bottom_shape[1];
+  const int bottom_height = bottom_shape[2];
+  const int bottom_width = bottom_shape[3];
+  // Check dimensions.
+  CHECK_GT(bottom_channels, 0);
+  CHECK_GE(bottom_height, crop_size);
+  CHECK_GE(bottom_width, crop_size);
+  // Build BlobShape.
+  vector<int> top_shape(4);
+  top_shape[0] = 1;
+  top_shape[1] = bottom_channels;
+  // if using GPU transform, don't crop
+  if (use_gpu) {
+    top_shape[2] = bottom_height;
+    top_shape[3] = bottom_width;
+  } else {
+    top_shape[2] = (crop_size) ? crop_size : bottom_height;
+    top_shape[3] = (crop_size) ? crop_size : bottom_width;
+  }
+  return top_shape;
+}
+
+template<typename Dtype>
+void DataTransformer<Dtype>::Transform(const Datum& datum,
+    Dtype *transformed_data, const std::array<unsigned int, 3>& rand) {
+  const string& data = datum.data();
+  const int datum_channels = datum.channels();
+  const int datum_height = datum.height();
+  const int datum_width = datum.width();
+
+  const int crop_size = param_.crop_size();
+  const float scale = param_.scale();
+  const bool do_mirror = param_.mirror() && (rand[0] % 2);
+  const bool has_mean_file = param_.has_mean_file();
+  const bool has_uint8 = data.size() > 0;
+  const bool has_mean_values = mean_values_.size() > 0;
+
+  CHECK_GT(datum_channels, 0);
+  CHECK_GE(datum_height, crop_size);
+  CHECK_GE(datum_width, crop_size);
+
+  const float* mean = NULL;
+  if (has_mean_file) {
+    CHECK_EQ(datum_channels, data_mean_.channels());
+    CHECK_EQ(datum_height, data_mean_.height());
+    CHECK_EQ(datum_width, data_mean_.width());
+    mean = data_mean_.cpu_data();
+  }
+  if (has_mean_values) {
+    CHECK(mean_values_.size() == 1 || mean_values_.size() == datum_channels)
+    << "Specify either 1 mean_value or as many as channels: " << datum_channels;
+    if (datum_channels > 1 && mean_values_.size() == 1) {
+      // Replicate the mean_value for simplicity
+      for (int c = 1; c < datum_channels; ++c) {
+        mean_values_.push_back(mean_values_[0]);
+      }
+    }
+  }
+
+  int height = datum_height;
+  int width = datum_width;
+
+  int h_off = 0;
+  int w_off = 0;
+  if (crop_size) {
+    height = crop_size;
+    width = crop_size;
+    // We only do random crop when we do training.
+    if (phase_ == TRAIN) {
+      h_off = rand[1] % (datum_height - crop_size + 1);
+      w_off = rand[2] % (datum_width - crop_size + 1);
+    } else {
+      h_off = (datum_height - crop_size) / 2;
+      w_off = (datum_width - crop_size) / 2;
+    }
+  }
+
+  int top_index, data_index, ch, cdho;
+  const int m = do_mirror ? -1 : 1;
+
+  if (has_uint8) {
+    Dtype datum_element, mnv;
+
+    if (scale == 1.F) {
+      for (int c = 0; c < datum_channels; ++c) {
+        cdho = c * datum_height + h_off;
+        ch = c * height;
+        mnv = has_mean_values && !has_mean_file ? mean_values_[c] : 0.F;
+        for (int h = 0; h < height; ++h) {
+          top_index = do_mirror ? (ch + h + 1) * width - 1 : (ch + h) * width;
+          data_index = (cdho + h) * datum_width + w_off;
+          for (int w = 0; w < width; ++w) {
+            datum_element = static_cast<unsigned char>(data[data_index]);
+            if (has_mean_file) {
+              transformed_data[top_index] = datum_element - mean[data_index];
+            } else {
+              if (has_mean_values) {
+                transformed_data[top_index] = datum_element - mnv;
+              } else {
+                transformed_data[top_index] = datum_element;
+              }
+            }
+            ++data_index;
+            top_index += m;
+          }
+        }
+      }
+    } else {
+      for (int c = 0; c < datum_channels; ++c) {
+        cdho = c * datum_height + h_off;
+        ch = c * height;
+        mnv = has_mean_values && !has_mean_file ? mean_values_[c] : 0.F;
+        for (int h = 0; h < height; ++h) {
+          top_index = do_mirror ? (ch + h + 1) * width - 1 : (ch + h) * width;
+          data_index = (cdho + h) * datum_width + w_off;
+          for (int w = 0; w < width; ++w) {
+            datum_element = static_cast<unsigned char>(data[data_index]);
+            if (has_mean_file) {
+              transformed_data[top_index] = (datum_element - mean[data_index]) * scale;
+            } else {
+              if (has_mean_values) {
+                transformed_data[top_index] = (datum_element - mnv) * scale;
+              } else {
+                transformed_data[top_index] = datum_element * scale;
+              }
+            }
+            ++data_index;
+            top_index += m;
+          }
+        }
+      }
+    }
+  } else {
+    Dtype datum_element;
+    for (int c = 0; c < datum_channels; ++c) {
+      cdho = c * datum_height + h_off;
+      ch = c * height;
+      for (int h = 0; h < height; ++h) {
+        top_index = do_mirror ? (ch + h + 1) * width - 1 : (ch + h) * width;
+        data_index = (cdho + h) * datum_width + w_off;
+        for (int w = 0; w < width; ++w) {
+          datum_element = datum.float_data(data_index);
+          if (has_mean_file) {
+            transformed_data[top_index] = (datum_element - mean[data_index]) * scale;
+          } else {
+            if (has_mean_values) {
+              transformed_data[top_index] = (datum_element - mean_values_[c]) * scale;
+            } else {
+              transformed_data[top_index] = datum_element * scale;
+            }
+          }
+          ++data_index;
+          top_index += m;
+        }
+      }
+    }
+  }
+}
+
+template<typename Dtype>
+void DataTransformer<Dtype>::Transform(const cv::Mat& img, TBlob<Dtype> *transformed_blob) const {
+  const int crop_size = param_.crop_size();
+  const int img_channels = img.channels();
+  const int img_height = img.rows;
+  const int img_width = img.cols;
+
+  // Check dimensions.
+  const int channels = transformed_blob->channels();
+  const int height = transformed_blob->height();
+  const int width = transformed_blob->width();
+  const int num = transformed_blob->num();
+
+  CHECK_EQ(channels, img_channels);
+  CHECK_LE(height, img_height);
+  CHECK_LE(width, img_width);
+  CHECK_GE(num, 1);
+  // TODO
+  if (crop_size > 0) {
+    CHECK_EQ(crop_size, height);
+    CHECK_EQ(crop_size, width);
+  }
+  Transform(img, transformed_blob->mutable_cpu_data(false), transformed_blob->count());
+}
+
+template<typename Dtype>
+void DataTransformer<Dtype>::TransformV1(const Datum& datum, Dtype* buf, size_t buf_len) {
+  const string& data = datum.data();
+  const int datum_channels = datum.channels();
+  const int datum_height = datum.height();
+  const int datum_width = datum.width();
+
+  const int crop_size = param_.crop_size();
+  const float scale = param_.scale();
+  const bool do_mirror = param_.mirror() && (Rand() % 2);
+  const bool has_mean_file = param_.has_mean_file();
+  const bool has_uint8 = data.size() > 0;
+  const bool has_mean_values = mean_values_.size() > 0;
+
+  CHECK_GT(datum_channels, 0);
+  CHECK_GE(datum_height, crop_size);
+  CHECK_GE(datum_width, crop_size);
+
+  const float* mean = NULL;
+  if (has_mean_file) {
+    CHECK_EQ(datum_channels, data_mean_.channels());
+    CHECK_EQ(datum_height, data_mean_.height());
+    CHECK_EQ(datum_width, data_mean_.width());
+    mean = data_mean_.cpu_data();
+  }
+  if (has_mean_values) {
+    CHECK(mean_values_.size() == 1 || mean_values_.size() == datum_channels)
+    << "Specify either 1 mean_value or as many as channels: " << datum_channels;
+    if (datum_channels > 1 && mean_values_.size() == 1) {
+      // Replicate the mean_value for simplicity
+      for (int c = 1; c < datum_channels; ++c) {
+        mean_values_.push_back(mean_values_[0]);
+      }
+    }
+  }
+
+  int height = datum_height;
+  int width = datum_width;
+
+  int h_off = 0;
+  int w_off = 0;
+  if (crop_size) {
+    height = crop_size;
+    width = crop_size;
+    // We only do random crop when we do training.
+    if (phase_ == TRAIN) {
+      h_off = Rand() % (datum_height - crop_size + 1);
+      w_off = Rand() % (datum_width - crop_size + 1);
+    } else {
+      h_off = (datum_height - crop_size) / 2;
+      w_off = (datum_width - crop_size) / 2;
+    }
+  }
+
+  int top_index, data_index, ch, cdho;
+  const int m = do_mirror ? -1 : 1;
+
+  if (has_uint8) {
+    float datum_element, mnv;
+
+    if (scale == 1.F) {
+      for (int c = 0; c < datum_channels; ++c) {
+        cdho = c * datum_height + h_off;
+        ch = c * height;
+        mnv = has_mean_values && !has_mean_file ? mean_values_[c] : 0.F;
+        for (int h = 0; h < height; ++h) {
+          top_index = do_mirror ? (ch + h + 1) * width - 1 : (ch + h) * width;
+          data_index = (cdho + h) * datum_width + w_off;
+          for (int w = 0; w < width; ++w) {
+            datum_element = static_cast<unsigned char>(data[data_index]);
+            if (has_mean_file) {
+              buf[top_index] = datum_element - mean[data_index];
+            } else {
+              if (has_mean_values) {
+                buf[top_index] = datum_element - mnv;
+              } else {
+                buf[top_index] = datum_element;
+              }
+            }
+            ++data_index;
+            top_index += m;
+          }
+        }
+      }
+    } else {
+      for (int c = 0; c < datum_channels; ++c) {
+        cdho = c * datum_height + h_off;
+        ch = c * height;
+        mnv = has_mean_values && !has_mean_file ? mean_values_[c] : 0.F;
+        for (int h = 0; h < height; ++h) {
+          top_index = do_mirror ? (ch + h + 1) * width - 1 : (ch + h) * width;
+          data_index = (cdho + h) * datum_width + w_off;
+          for (int w = 0; w < width; ++w) {
+            datum_element = static_cast<unsigned char>(data[data_index]);
+            if (has_mean_file) {
+              buf[top_index] = (datum_element - mean[data_index]) * scale;
+            } else {
+              if (has_mean_values) {
+                buf[top_index] = (datum_element - mnv) * scale;
+              } else {
+                buf[top_index] = datum_element * scale;
+              }
+            }
+            ++data_index;
+            top_index += m;
+          }
+        }
+      }
+    }
+  } else {
+    float datum_element;
+    for (int c = 0; c < datum_channels; ++c) {
+      cdho = c * datum_height + h_off;
+      ch = c * height;
+      for (int h = 0; h < height; ++h) {
+        top_index = do_mirror ? (ch + h + 1) * width - 1 : (ch + h) * width;
+        data_index = (cdho + h) * datum_width + w_off;
+        for (int w = 0; w < width; ++w) {
+          datum_element = datum.float_data(data_index);
+          if (has_mean_file) {
+            buf[top_index] = (datum_element - mean[data_index]) * scale;
+          } else {
+            if (has_mean_values) {
+              buf[top_index] = (datum_element - mean_values_[c]) * scale;
+            } else {
+              buf[top_index] = datum_element * scale;
+            }
+          }
+          ++data_index;
+          top_index += m;
+        }
+      }
+    }
+  }
+}
+
+INSTANTIATE_CLASS(DataTransformer);
+
 }  // namespace caffe
diff --git a/src/caffe/data_transformer.cu b/src/caffe/data_transformer.cu
index 88a6cfbd48d..c682b0d04d9 100644
--- a/src/caffe/data_transformer.cu
+++ b/src/caffe/data_transformer.cu
@@ -190,7 +190,7 @@ void transform_kernel<__half>(int N, int C,
 
 
 template <typename Dtype>
-void DataTransformer::TransformGPU(int N, int C, int H, int W,
+void DataTransformer<Dtype>::TransformGPU(int N, int C, int H, int W,
     size_t sizeof_element,
     const void *in, Dtype *out,
     const unsigned int *random_numbers, bool signed_data) {
@@ -274,11 +274,11 @@ void DataTransformer::TransformGPU(int N, int C, int H, int W,
   CUDA_CHECK(cudaStreamSynchronize(stream));
 }
 
-template void DataTransformer::TransformGPU<float>(int, int, int, int,
+template void DataTransformer<float>::TransformGPU(int, int, int, int,
     size_t, const void*, float*, const unsigned int*, bool);
-template void DataTransformer::TransformGPU<double>(int, int, int, int,
+template void DataTransformer<double>::TransformGPU(int, int, int, int,
     size_t, const void*, double*, const unsigned int*, bool);
-template void DataTransformer::TransformGPU<float16>(int, int, int, int,
+template void DataTransformer<float16>::TransformGPU(int, int, int, int,
     size_t, const void*, float16*, const unsigned int*, bool);
 
 }  // namespace caffe
diff --git a/src/caffe/layer.cpp b/src/caffe/layer.cpp
index 13867ecaf8b..09fddf8bcc7 100644
--- a/src/caffe/layer.cpp
+++ b/src/caffe/layer.cpp
@@ -88,9 +88,8 @@ int LayerBase::iter() const {
   return psolver == nullptr ? 0 : psolver->iter();
 }
 
-int LayerBase::relative_iter() const {
-  const Solver* psolver = parent_solver();
-  return psolver == nullptr ? 0 : psolver->relative_iter();
+int LayerBase::parent_rank() const {
+  return parent_net_ == nullptr ? 0 : parent_net_->solver_rank();
 }
 
 std::string LayerBase::print_current_device() const {
diff --git a/src/caffe/layers/accuracy_layer.cu b/src/caffe/layers/accuracy_layer.cu
new file mode 100644
index 00000000000..82fa16a4e74
--- /dev/null
+++ b/src/caffe/layers/accuracy_layer.cu
@@ -0,0 +1,150 @@
+#include <vector>
+#include <device_launch_parameters.h>
+
+#include "caffe/layers/accuracy_layer.hpp"
+#include "caffe/util/math_functions.hpp"
+
+
+namespace caffe {
+
+template <typename Dtype>
+__global__ void AccuracyForwardGPU(const int nthreads,
+          const Dtype* bottom_data, const Dtype* label, Dtype* acc,
+          const int num, const int dim, const int spatial_dim,
+          const int num_labels, const int top_k,
+          const bool has_ignore_label_, const int ignore_label_,
+          Dtype* counts) {
+  CUDA_KERNEL_LOOP(index, nthreads) {
+    const int n = index / spatial_dim;
+    const int s = index % spatial_dim;
+    const int label_value = static_cast<int>(label[n * spatial_dim + s]);
+    const Dtype prob_of_true_class = bottom_data[n * dim
+                                                 + label_value * spatial_dim
+                                                 + s];
+    int num_better_predictions = -1;  // true_class also counts as "better"
+    if (has_ignore_label_ && label_value == ignore_label_) {
+      acc[index] = 0;
+      counts[index] = 0;
+    } else {
+      for (int k = 0; k < num_labels & num_better_predictions < top_k; k++) {
+        num_better_predictions +=
+          (bottom_data[n * dim + k * spatial_dim + s] >= prob_of_true_class);
+      }
+      acc[index] = (num_better_predictions < top_k);
+      counts[index] = 1;
+    }
+  }
+}
+
+template<typename Dtype>
+__global__ void AccuracyForwardWithPerClassGPU(const int nthreads,
+          const Dtype* bottom_data, const Dtype* label,
+          Dtype* acc, Dtype* counts,
+          const int num, const int dim, const int spatial_dim,
+          const int num_labels, const int top_k,
+          const bool has_ignore_label_, const int ignore_label_) {
+  CUDA_KERNEL_LOOP(index, nthreads) {
+    const int n = index / spatial_dim;
+    const int s = index % spatial_dim;
+    const int label_value = static_cast<int>(label[n * spatial_dim + s]);
+    const Dtype prob_of_true_class = bottom_data[n * dim
+                                                 + label_value * spatial_dim
+                                                 + s];
+    if (has_ignore_label_ && label_value == ignore_label_) {
+      // nothing to be done.
+    } else {
+      int num_better_predictions = -1;  // true_class also counts as "better"
+      for (int k = 0; k < num_labels & num_better_predictions < top_k; k++) {
+        num_better_predictions +=
+          (bottom_data[n * dim + k * spatial_dim + s] >= prob_of_true_class);
+      }
+      acc[label_value*nthreads + index] += (num_better_predictions < top_k);
+      counts[label_value*nthreads + index] = 1;
+    }
+  }
+}
+
+template<typename Ftype, typename Btype>
+void AccuracyLayer<Ftype, Btype>::Forward_gpu(
+    const vector<Blob*>& bottom, const vector<Blob*>& top) {
+  const Ftype* bottom_data = bottom[0]->gpu_data<Ftype>();
+  const Ftype* bottom_label = bottom[1]->gpu_data<Ftype>();
+  const int dim = bottom[0]->count() / outer_num_;
+  const int num_labels = bottom[0]->shape(label_axis_);
+  const int nthreads = outer_num_ * inner_num_;
+  // Since this memory is not used for anything, we use it here to avoid having
+  // to allocate new GPU memory to accumulate intermediate results.
+  Ftype* acc_data = bottom[0]->mutable_gpu_diff<Ftype>();
+  if (top.size() == 1) {
+    // simple case - report only global accuracy.
+
+    // Similarly, this memory is never used elsewhere, and thus we can use it
+    // to avoid having to allocate additional GPU memory.
+    Ftype* counts = bottom[1]->mutable_gpu_diff<Ftype>();
+    // NOLINT_NEXT_LINE(whitespace/operators)
+    AccuracyForwardGPU<<<CAFFE_GET_BLOCKS(nthreads),
+        CAFFE_CUDA_NUM_THREADS>>>(nthreads, bottom_data, bottom_label,
+        acc_data, outer_num_, dim, inner_num_, num_labels, top_k_,
+        has_ignore_label_, ignore_label_, counts);
+    Ftype acc;
+    caffe_gpu_asum(nthreads, acc_data, &acc, 0);
+    Ftype valid_count;
+    caffe_gpu_asum(nthreads, counts, &valid_count, 0);
+    if (valid_count > 0) {
+      top[0]->mutable_cpu_data<Ftype>()[0] = acc / valid_count;
+    } else {
+      top[0]->mutable_cpu_data<Ftype>()[0] = 0;
+    }
+  } else {
+    // need to report per-class accuracy as well
+
+    // allocate space for more detailed "counts"
+    nums_buffer_.ReshapeLike(*bottom[0]);
+    Ftype* counts = nums_buffer_.mutable_gpu_data<Ftype>();
+
+    caffe_gpu_set(bottom[0]->count(), Ftype(0), acc_data);
+    caffe_gpu_set(nums_buffer_.count(), Ftype(0), counts);
+
+    // NOLINT_NEXT_LINE(whitespace/operators)
+    AccuracyForwardWithPerClassGPU<<<CAFFE_GET_BLOCKS(nthreads),
+        CAFFE_CUDA_NUM_THREADS>>>(nthreads, bottom_data, bottom_label,
+        acc_data, counts, outer_num_, dim, inner_num_, num_labels, top_k_,
+        has_ignore_label_, ignore_label_);
+
+    // get the overall accuracy
+    Ftype acc;
+    caffe_gpu_asum(bottom[0]->count(), acc_data, &acc, 0);
+    Ftype valid_count;
+    caffe_gpu_asum(nums_buffer_.count(), counts, &valid_count, 0);
+    if (valid_count > 0) {
+      top[0]->mutable_cpu_data<Ftype>()[0] = acc / valid_count;
+    } else {
+      top[0]->mutable_cpu_data<Ftype>()[0] = 0;
+    }
+
+    // get per-class accuracy
+    Ftype* per_class_acc = top[1]->mutable_cpu_data<Ftype>();
+    for (int l = 0; l < num_labels; l++) {
+      caffe_gpu_asum(nthreads, acc_data + l*nthreads, per_class_acc+l, 0);
+      caffe_gpu_asum(nthreads, counts + l*nthreads, &valid_count, 0);
+      if (valid_count > 0) {
+        per_class_acc[l] /= valid_count;
+      } else {
+        per_class_acc[l] = 0;
+      }
+    }
+  }
+  // Clear scratch memory to prevent interfering with backward (see #6202).
+  caffe_gpu_set(bottom[0]->count(), Ftype(0), bottom[0]->mutable_gpu_diff<Ftype>());
+}
+
+
+template<typename Ftype, typename Btype>
+void AccuracyLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
+    const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
+  if (propagate_down[1]) {  NOT_IMPLEMENTED;  }
+}
+
+INSTANTIATE_LAYER_GPU_FUNCS_FB(AccuracyLayer);
+
+}  // namespace caffe
diff --git a/src/caffe/layers/annotated_data_layer.cpp b/src/caffe/layers/annotated_data_layer.cpp
new file mode 100644
index 00000000000..6e14b9ec188
--- /dev/null
+++ b/src/caffe/layers/annotated_data_layer.cpp
@@ -0,0 +1,337 @@
+#include <opencv2/core/core.hpp>
+#include <stdint.h>
+
+#include <algorithm>
+#include <map>
+#include <vector>
+
+#include "caffe/data_transformer.hpp"
+#include "caffe/layers/annotated_data_layer.hpp"
+#include "caffe/util/benchmark.hpp"
+#include "caffe/util/sampler.hpp"
+#include "caffe/parallel.hpp"
+
+namespace caffe {
+
+template <typename Ftype, typename Btype>
+AnnotatedDataLayer<Ftype, Btype>::AnnotatedDataLayer(const LayerParameter& param,
+    size_t solver_rank)
+  : DataLayer<Ftype, Btype>(param, solver_rank) {}
+
+template <typename Ftype, typename Btype>
+void AnnotatedDataLayer<Ftype, Btype>::DataLayerSetUp(
+    const vector<Blob*>& bottom, const vector<Blob*>& top) {
+  const LayerParameter& param = this->layer_param();
+  const AnnotatedDataParameter& anno_data_param = param.annotated_data_param();
+  const int batch_size = param.data_param().batch_size();
+  const bool cache = this->cache_ && this->phase_ == TRAIN;
+  const bool shuffle = cache && this->shuffle_ && this->phase_ == TRAIN;
+  TBlob<Ftype> transformed_datum;
+
+  for (int i = 0; i < anno_data_param.batch_sampler_size(); ++i) {
+    batch_samplers_.push_back(anno_data_param.batch_sampler(i));
+  }
+
+  if (this->auto_mode()) {
+    if (!sample_areader_) {
+      sample_areader_ = std::make_shared<DataReader<AnnotatedDatum>>(param,
+          Caffe::solver_count(),
+          this->rank_,
+          this->parsers_num_,
+          this->threads_num(),
+          batch_size,
+          true,
+          false,
+          cache,
+          shuffle,
+          false);
+    } else if (!areader_) {
+      areader_ = std::make_shared<DataReader<AnnotatedDatum>>(param,
+          Caffe::solver_count(),
+          this->rank_,
+          this->parsers_num_,
+          this->threads_num(),
+          batch_size,
+          false,
+          true,
+          cache,
+          shuffle,
+          this->phase_ == TRAIN);
+    }
+  } else if (!areader_) {
+    areader_ = std::make_shared<DataReader<AnnotatedDatum>>(param,
+        Caffe::solver_count(),
+        this->rank_,
+        this->parsers_num_,
+        this->threads_num(),
+        batch_size,
+        false,
+        false,
+        cache,
+        shuffle,
+        this->phase_ == TRAIN);
+    start_reading();
+  }
+
+  label_map_file_ = anno_data_param.label_map_file();
+  // Make sure dimension is consistent within batch.
+  const TransformationParameter& transform_param =
+    this->layer_param_.transform_param();
+  if (transform_param.has_resize_param()) {
+    if (transform_param.resize_param().resize_mode() ==
+        ResizeParameter_Resize_mode_FIT_SMALL_SIZE) {
+      CHECK_EQ(batch_size, 1)
+        << "Only support batch size of 1 for FIT_SMALL_SIZE.";
+    }
+  }
+
+  // Read a data point, and use it to initialize the top blob.
+  shared_ptr<AnnotatedDatum> sample_datum =
+      this->sample_only_ ? this->sample_areader_->sample() : this->areader_->sample();
+  AnnotatedDatum& anno_datum = *sample_datum;
+  this->ResizeQueues();
+  this->init_offsets();
+
+  // Calculate the variable sized transformed datum shape.
+  vector<int> sample_datum_shape = this->bdt(0)->InferDatumShape(sample_datum->datum());
+  // Reshape top[0] and prefetch_data according to the batch_size.
+  // Note: all these reshapings here in load_batch are needed only in case of
+  // different datum shapes coming from database.
+  vector<int> top_shape = this->bdt(0)->InferBlobShape(sample_datum_shape);
+  transformed_datum.Reshape(top_shape);
+  top_shape[0] = batch_size;
+  top[0]->Reshape(top_shape);
+
+  LOG(INFO) << "output data size: " << top[0]->num() << ","
+      << top[0]->channels() << "," << top[0]->height() << ","
+      << top[0]->width();
+  // label
+  vector<int> label_shape(4, 1);
+  if (this->output_labels_) {
+    has_anno_type_ = anno_datum.has_type() || anno_data_param.has_anno_type();
+    if (has_anno_type_) {
+      anno_type_ = anno_datum.type();
+      if (anno_data_param.has_anno_type()) {
+        // If anno_type is provided in AnnotatedDataParameter, replace
+        // the type stored in each individual AnnotatedDatum.
+        LOG(WARNING) << "type stored in AnnotatedDatum is shadowed.";
+        anno_type_ = anno_data_param.anno_type();
+      }
+      // Infer the label shape from anno_datum.AnnotationGroup().
+      int num_bboxes = 0;
+      if (anno_type_ == AnnotatedDatum_AnnotationType_BBOX) {
+        // Since the number of bboxes can be different for each image,
+        // we store the bbox information in a specific format. In specific:
+        // All bboxes are stored in one spatial plane (num and channels are 1)
+        // And each row contains one and only one box in the following format:
+        // [item_id, group_label, instance_id, xmin, ymin, xmax, ymax, diff]
+        // Note: Refer to caffe.proto for details about group_label and
+        // instance_id.
+        for (int g = 0; g < anno_datum.annotation_group_size(); ++g) {
+          num_bboxes += anno_datum.annotation_group(g).annotation_size();
+        }
+        label_shape[0] = 1;
+        label_shape[1] = 1;
+        // BasePrefetchingDataLayer<Dtype>::LayerSetUp() requires to call
+        // cpu_data and gpu_data for consistent prefetch thread. Thus we make
+        // sure there is at least one bbox.
+        label_shape[2] = std::max(num_bboxes, 1);
+        label_shape[3] = 8;
+      } else {
+        LOG(FATAL) << "Unknown annotation type.";
+      }
+    } else {
+      label_shape[0] = batch_size;
+    }
+    top[1]->Reshape(label_shape);
+  }
+  this->batch_transformer_->reshape(top_shape, label_shape, this->is_gpu_transform());
+
+  LOG(INFO) << this->print_current_device() << " Output data size: "
+      << top[0]->num() << ", "
+      << top[0]->channels() << ", "
+      << top[0]->height() << ", "
+      << top[0]->width();
+}
+
+// This function is called on prefetch thread
+template <typename Ftype, typename Btype>
+void AnnotatedDataLayer<Ftype, Btype>::load_batch(Batch* batch, int thread_id, size_t queue_id) {
+  const bool sample_only = this->sample_only_.load();
+  TBlob<Ftype> transformed_datum;
+
+  //const bool use_gpu_transform = false;//this->is_gpu_transform();
+  // Reshape according to the first anno_datum of each batch
+  // on single input batches allows for inputs of varying dimension.
+  const int batch_size = this->layer_param_.data_param().batch_size();
+  const AnnotatedDataParameter& anno_data_param =
+      this->layer_param_.annotated_data_param();
+  const TransformationParameter& transform_param =
+    this->layer_param_.transform_param();
+
+  const size_t qid = sample_only ? 0UL : queue_id;
+  DataReader<AnnotatedDatum>* reader = sample_only ? sample_areader_.get() : areader_.get();
+  shared_ptr<AnnotatedDatum> init_datum = reader->full_peek(qid);
+  CHECK(init_datum);
+
+  // Use data_transformer to infer the expected blob shape from datum.
+  vector<int> top_shape = this->bdt(thread_id)->InferBlobShape(init_datum->datum());
+  transformed_datum.Reshape(top_shape);
+  // Reshape batch according to the batch_size.
+  top_shape[0] = batch_size;
+  batch->data_->Reshape(top_shape);
+
+  Ftype* top_data = batch->data_->mutable_cpu_data<Ftype>();
+  Ftype* top_label = NULL;  // suppress warnings about uninitialized variables
+  if (this->output_labels_ && !has_anno_type_) {
+    top_label = batch->label_->mutable_cpu_data<Ftype>();
+  }
+
+  // Store transformed annotation.
+  map<int, vector<AnnotationGroup> > all_anno;
+  int num_bboxes = 0;
+
+  size_t current_batch_id = 0UL;
+  for (size_t entry = 0; entry < batch_size; ++entry) {
+    // get an anno_datum
+    shared_ptr<AnnotatedDatum> anno_datum = reader->full_pop(qid, "Waiting for data");
+    size_t item_id = anno_datum->record_id() % batch_size;
+    if (item_id == 0UL) {
+      current_batch_id = anno_datum->record_id() / batch_size;
+    }
+    AnnotatedDatum distort_datum;
+    AnnotatedDatum expand_datum;
+    if (transform_param.has_distort_param()) {
+      distort_datum.CopyFrom(*anno_datum);
+      this->bdt(thread_id)->DistortImage(anno_datum->datum(), distort_datum.mutable_datum());
+      if (transform_param.has_expand_param()) {
+        this->bdt(thread_id)->ExpandImage(distort_datum, &expand_datum);
+      } else {
+        expand_datum = distort_datum;
+      }
+    } else {
+      if (transform_param.has_expand_param()) {
+        this->bdt(thread_id)->ExpandImage(*anno_datum, &expand_datum);
+      } else {
+        expand_datum = *anno_datum;
+      }
+    }
+    AnnotatedDatum sampled_datum;
+    if (batch_samplers_.size() > 0) {
+      // Generate sampled bboxes from expand_datum.
+      vector<NormalizedBBox> sampled_bboxes;
+      GenerateBatchSamples(expand_datum, batch_samplers_, &sampled_bboxes);
+      if (sampled_bboxes.size() > 0) {
+        // Randomly pick a sampled bbox and crop the expand_datum.
+        int rand_idx = caffe_rng_rand() % sampled_bboxes.size();
+        this->bdt(thread_id)->CropImage(expand_datum, sampled_bboxes[rand_idx], &sampled_datum);
+      } else {
+        sampled_datum = expand_datum;
+      }
+    } else {
+      sampled_datum = expand_datum;
+    }
+    vector<int> shape =
+        this->bdt(thread_id)->InferBlobShape(sampled_datum.datum());
+    if (transform_param.has_resize_param()) {
+      if (transform_param.resize_param().resize_mode() ==
+          ResizeParameter_Resize_mode_FIT_SMALL_SIZE) {
+        transformed_datum.Reshape(shape);
+        batch->data_->Reshape(shape);
+        top_data = batch->data_->mutable_cpu_data<Ftype>();
+      } else {
+        CHECK(std::equal(top_shape.begin() + 1, top_shape.begin() + 4,
+              shape.begin() + 1));
+      }
+    } else {
+      CHECK(std::equal(top_shape.begin() + 1, top_shape.begin() + 4,
+            shape.begin() + 1));
+    }
+    // Apply data transformations (mirror, scale, crop...)
+    int offset = batch->data_->offset(item_id);
+    transformed_datum.set_cpu_data(top_data + offset);
+    vector<AnnotationGroup> transformed_anno_vec;
+    if (this->output_labels_) {
+      if (has_anno_type_) {
+        // Make sure all data have same annotation type.
+        CHECK(sampled_datum.has_type()) << "Some datum misses AnnotationType.";
+        if (anno_data_param.has_anno_type()) {
+          sampled_datum.set_type(anno_type_);
+        } else {
+          CHECK_EQ(anno_type_, sampled_datum.type()) << "Different AnnotationType.";
+        }
+        // Transform datum and annotation_group at the same time
+        transformed_anno_vec.clear();
+        this->fdt(thread_id)->Transform(sampled_datum, &transformed_datum, &transformed_anno_vec);
+        if (anno_type_ == AnnotatedDatum_AnnotationType_BBOX) {
+          // Count the number of bboxes.
+          for (int g = 0; g < transformed_anno_vec.size(); ++g) {
+            num_bboxes += transformed_anno_vec[g].annotation_size();
+          }
+        } else {
+          LOG(FATAL) << "Unknown annotation type.";
+        }
+        all_anno[item_id] = transformed_anno_vec;
+      } else {
+        this->fdt(thread_id)->Transform(sampled_datum.datum(), &(transformed_datum));
+        // Otherwise, store the label from datum.
+        CHECK(sampled_datum.datum().has_label()) << "Cannot find any label.";
+        top_label[item_id] = sampled_datum.datum().label();
+      }
+    } else {
+      this->fdt(thread_id)->Transform(sampled_datum.datum(), &transformed_datum);
+    }
+
+    reader->free_push(queue_id, anno_datum);
+  }
+
+  // Store "rich" annotation if needed.
+  if (this->output_labels_ && has_anno_type_) {
+    vector<int> label_shape(4);
+    if (anno_type_ == AnnotatedDatum_AnnotationType_BBOX) {
+      label_shape[0] = 1;
+      label_shape[1] = 1;
+      label_shape[3] = 8;
+      if (num_bboxes == 0) {
+        // Store all -1 in the label.
+        label_shape[2] = 1;
+        batch->label_->Reshape(label_shape);
+        caffe_set<Ftype>(8, -1, batch->label_->mutable_cpu_data<Ftype>());
+      } else {
+        // Reshape the label and store the annotation.
+        label_shape[2] = num_bboxes;
+        batch->label_->Reshape(label_shape);
+        top_label = batch->label_->mutable_cpu_data<Ftype>();
+        int idx = 0;
+        for (int item_id = 0; item_id < batch_size; ++item_id) {
+          const vector<AnnotationGroup>& anno_vec = all_anno[item_id];
+          for (int g = 0; g < anno_vec.size(); ++g) {
+            const AnnotationGroup& anno_group = anno_vec[g];
+            for (int a = 0; a < anno_group.annotation_size(); ++a) {
+              const Annotation& anno = anno_group.annotation(a);
+              const NormalizedBBox& bbox = anno.bbox();
+              top_label[idx++] = item_id;
+              top_label[idx++] = anno_group.group_label();
+              top_label[idx++] = anno.instance_id();
+              top_label[idx++] = bbox.xmin();
+              top_label[idx++] = bbox.ymin();
+              top_label[idx++] = bbox.xmax();
+              top_label[idx++] = bbox.ymax();
+              top_label[idx++] = bbox.difficult();
+            }
+          }
+        }
+      }
+    } else {
+      LOG(FATAL) << "Unknown annotation type.";
+    }
+  }
+//    batch->set_data_packing(packing); todo
+  batch->set_id(current_batch_id);
+  this->sample_only_.store(false);
+}
+
+INSTANTIATE_CLASS_FB(AnnotatedDataLayer);
+REGISTER_LAYER_CLASS_R(AnnotatedData);
+
+}  // namespace caffe
diff --git a/src/caffe/layers/base_data_layer.cpp b/src/caffe/layers/base_data_layer.cpp
index 9e8cedaa350..8d2ad5ec722 100644
--- a/src/caffe/layers/base_data_layer.cpp
+++ b/src/caffe/layers/base_data_layer.cpp
@@ -16,7 +16,6 @@ size_t BasePrefetchingDataLayer<Ftype, Btype>::threads(const LayerParameter& par
   if (param.type().compare("ImageData") == 0 && param.has_image_data_param()) {
     return param.image_data_param().threads();
   }
-
   // Check user's override in prototxt file
   size_t threads = param.data_param().threads();
   if (!auto_mode(param) && threads == 0U) {
@@ -67,7 +66,8 @@ BasePrefetchingDataLayer<Ftype, Btype>::BasePrefetchingDataLayer(const LayerPara
       transf_num_(threads(param)),
       queues_num_(transf_num_ * parsers_num_),
       batch_transformer_(make_shared<BatchTransformer<Ftype, Btype>>(Caffe::current_device(),
-          solver_rank, queues_num_, param.transform_param(), is_gpu_transform())) {
+          solver_rank, queues_num_, param.transform_param(), is_gpu_transform())),
+      iter0_(true) {
   CHECK_EQ(transf_num_, threads_num());
   batch_size_ = param.data_param().batch_size();
   // We begin with minimum required
@@ -87,8 +87,10 @@ void BasePrefetchingDataLayer<Ftype, Btype>::LayerSetUp(const vector<Blob*>& bot
   BaseDataLayer<Ftype, Btype>::LayerSetUp(bottom, top);
 
   for (int i = 0; i < transf_num_; ++i) {
-    data_transformers_.emplace_back(
-        make_shared<DataTransformer>(this->transform_param_, this->phase_));
+    bwd_data_transformers_.emplace_back(
+        make_shared<DataTransformer<Btype>>(this->transform_param_, this->phase_));
+    fwd_data_transformers_.emplace_back(
+        make_shared<DataTransformer<Ftype>>(this->transform_param_, this->phase_));
   }
   const Solver* psolver = this->parent_solver();
   const uint64_t random_seed = (psolver == nullptr ||
@@ -104,14 +106,18 @@ void BasePrefetchingDataLayer<Ftype, Btype>::InternalThreadEntry() {
 
 template<typename Ftype, typename Btype>
 void BasePrefetchingDataLayer<Ftype, Btype>::InternalThreadEntryN(size_t thread_id) {
-  static thread_local bool iter0 = this->phase_ == TRAIN;
-  if (iter0 && this->net_inititialized_flag_ != nullptr) {
+  const bool auto_mode = this->auto_mode();
+  if (auto_mode) {
+    iter0_.wait_reset();  // sample reader first
+  } else if (this->phase_ == TRAIN) {
+    iter0_.wait();
+  }
+  if (auto_mode && this->net_inititialized_flag_ != nullptr) {
     this->net_inititialized_flag_->wait();
-  } else {  // nothing to wait -> initialize and start pumping
-    InitializePrefetch();
-    start_reading();
-    iter0 = false;
   }
+  InitializePrefetch();
+  start_reading();
+
   try {
     while (!must_stop(thread_id)) {
       const size_t qid = this->queue_id(thread_id);
@@ -122,19 +128,13 @@ void BasePrefetchingDataLayer<Ftype, Btype>::InternalThreadEntryN(size_t thread_
         break;
       }
       batch_transformer_->prefetched_push_full(qid, batch);
-      if (iter0) {
+
+      if (auto_mode) {
         if (this->net_iteration0_flag_ != nullptr) {
           this->net_iteration0_flag_->wait();
         }
-        if (this->net_inititialized_flag_ != nullptr) {
-          this->net_inititialized_flag_ = nullptr;  // no wait on the second round
-          InitializePrefetch();
-          start_reading();
-        }
-        if (this->auto_mode()) {
-          break;
-        }  // manual otherwise, thus keep rolling
-        iter0 = false;
+        iter0_.set();
+        break;
       }
     }
   } catch (boost::thread_interrupted&) {
@@ -150,11 +150,18 @@ void BasePrefetchingDataLayer<Ftype, Btype>::ResizeQueues() {
       batch_ids_[i] = i;
     }
   }
-  size = this->data_transformers_.size();
+  size = this->bwd_data_transformers_.size();
+  if (transf_num_ > size) {
+    for (size_t i = size; i < transf_num_; ++i) {
+      this->bwd_data_transformers_.emplace_back(
+          make_shared<DataTransformer<Btype>>(this->transform_param_, this->phase_));
+    }
+  }
+  size = this->fwd_data_transformers_.size();
   if (transf_num_ > size) {
     for (size_t i = size; i < transf_num_; ++i) {
-      this->data_transformers_.emplace_back(
-          make_shared<DataTransformer>(this->transform_param_, this->phase_));
+      this->fwd_data_transformers_.emplace_back(
+          make_shared<DataTransformer<Ftype>>(this->transform_param_, this->phase_));
     }
   }
 }
diff --git a/src/caffe/layers/concat_layer.cu b/src/caffe/layers/concat_layer.cu
index bf67a44d947..5b5a520efb9 100644
--- a/src/caffe/layers/concat_layer.cu
+++ b/src/caffe/layers/concat_layer.cu
@@ -37,8 +37,6 @@ void ConcatLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
   if (bottom.size() == 1) {
     return;
   }
-
-
   for (int i = 0; i < bottom.size(); ++i) {
     bottom_data = bottom[i]->gpu_data<Ftype>();
     const int bottom_concat_axis = bottom[i]->shape(concat_axis_);
@@ -56,10 +54,9 @@ void ConcatLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
           nthreads, bottom_data, kForward, num_concats_, concat_input_size_,
               top_concat_axis, bottom_concat_axis, offset_concat_axis, top_data);
     }
+    CUDA_CHECK(cudaStreamSynchronize(Caffe::thread_stream()));
     offset_concat_axis += bottom_concat_axis;
   }
-
-  CUDA_CHECK(cudaStreamSynchronize(Caffe::thread_stream()));
 }
 
 template <typename Ftype, typename Btype>
@@ -83,6 +80,7 @@ void ConcatLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
           <<<CAFFE_GET_BLOCKS(nthreads), CAFFE_CUDA_NUM_THREADS, 0, Caffe::thread_stream()>>>(
           nthreads, top_diff, kForward, num_concats_, concat_input_size_,
           top_concat_axis, bottom_concat_axis, offset_concat_axis, bottom_diff);
+      CUDA_CHECK(cudaStreamSynchronize(Caffe::thread_stream()));
     }
     offset_concat_axis += bottom_concat_axis;
   }
diff --git a/src/caffe/layers/cudnn_conv_layer.cpp b/src/caffe/layers/cudnn_conv_layer.cpp
index 093cca3cebf..8e113aa99e6 100644
--- a/src/caffe/layers/cudnn_conv_layer.cpp
+++ b/src/caffe/layers/cudnn_conv_layer.cpp
@@ -20,23 +20,6 @@ namespace caffe {
     (CUDNN_CONVOLUTION_BWD_FILTER_ALGO_WINOGRAD_NONFUSED + 1)
 #endif
 
-template <typename Dtype>
-void createFilterDesc(cudnnFilterDescriptor_t* desc, int n, int c, int h, int w) {
-  CUDNN_CHECK(cudnnCreateFilterDescriptor(desc));
-  CUDNN_CHECK(cudnnSetFilter4dDescriptor(*desc, cudnn::dataType<Dtype>::type,
-      CUDNN_TENSOR_NCHW, n, c, h, w));
-}
-
-void setConvolutionDesc(Type math, cudnnConvolutionDescriptor_t conv,
-    int pad_h, int pad_w, int stride_h, int stride_w, int dilation_h, int dilation_w) {
-  int padA[2] = {pad_h, pad_w};
-  int strideA[2] = {stride_h, stride_w};
-  int upscaleA[2] = {dilation_h, dilation_w};
-  CUDNN_CHECK(cudnnSetConvolutionNdDescriptor(conv,
-      2, padA, strideA, upscaleA, CUDNN_CROSS_CORRELATION,
-      cudnn::cudnn_data_type(math)));
-}
-
 void setConvolutionDescMath(Type math, cudnnConvolutionDescriptor_t conv) {
   int padA[2];
   int strideA[2];
@@ -155,19 +138,19 @@ void CuDNNConvolutionLayer<Ftype, Btype>::LayerSetUp(
   const int kernel_w = kernel_shape_data[1];
 
   if (use_v7grouping()) {
-    createFilterDesc<Ftype>(&fwd_filter_desc_,
+    cudnn::createFilterDesc<Ftype>(&fwd_filter_desc_,
         this->num_output_, this->channels_ / groups(),
         kernel_h, kernel_w);
-    createFilterDesc<Btype>(&bwd_filter_desc_,
+    cudnn::createFilterDesc<Btype>(&bwd_filter_desc_,
         this->num_output_, this->channels_ / groups(),
         kernel_h, kernel_w);
     this->weight_offset_ = this->num_output_ *
                            (this->channels_ / groups()) * kernel_h * kernel_w;
   } else {
-    createFilterDesc<Ftype>(&fwd_filter_desc_,
+    cudnn::createFilterDesc<Ftype>(&fwd_filter_desc_,
         this->num_output_ / groups(), this->channels_ / groups(),
         kernel_h, kernel_w);
-    createFilterDesc<Btype>(&bwd_filter_desc_,
+    cudnn::createFilterDesc<Btype>(&bwd_filter_desc_,
         this->num_output_ / groups(), this->channels_ / groups(),
         kernel_h, kernel_w);
     this->weight_offset_ = (this->num_output_ / groups()) *
@@ -252,9 +235,6 @@ void CuDNNConvolutionLayer<Ftype, Btype>::LayerSetUp(
 template <typename Ftype, typename Btype>
 void CuDNNConvolutionLayer<Ftype, Btype>::AllocateFindExWorkspace() {
   const int dev = Caffe::current_device();
-  if (ws_released_[dev]) {
-    return;
-  }
   shared_ptr<GPUMemory::Workspace> ws = GPUMemory::workspace_[dev];
   size_t bytes_available, bytes_total;
   GPUMemory::GetInfo(&bytes_available, &bytes_total, true);
@@ -279,7 +259,6 @@ void CuDNNConvolutionLayer<Ftype, Btype>::AllocateFindExWorkspace() {
     LOG(INFO) << this->print_current_device() << " Retrying to allocate " << req_bytes
               << " bytes, attempts left: " << attempts;
   }
-  ws_allocated_[dev] = ws->size();
 }
 
 template <typename Ftype, typename Btype>
@@ -397,17 +376,17 @@ void CuDNNConvolutionLayer<Ftype, Btype>::Reshape(
         this->num_output_ * this->out_spatial_dim_,
         this->out_spatial_dim_, width_out, 1);
 
-    setConvolutionDesc(forward_math_, fwd_conv_descs_[i],
+    cudnn::setConvolutionDesc(forward_math_, fwd_conv_descs_[i],
         pad_h, pad_w, stride_h, stride_w, dilation_h, dilation_w);
-    setConvolutionDesc(forward_math_, fwd_cached_conv_descs_[i],
+    cudnn::setConvolutionDesc(forward_math_, fwd_cached_conv_descs_[i],
         pad_h, pad_w, stride_h, stride_w, dilation_h, dilation_w);
-    setConvolutionDesc(backward_data_math_, bwd_conv_data_descs_[i],
+    cudnn::setConvolutionDesc(backward_data_math_, bwd_conv_data_descs_[i],
         pad_h, pad_w, stride_h, stride_w, dilation_h, dilation_w);
-    setConvolutionDesc(backward_filter_math_, bwd_conv_filter_descs_[i],
+    cudnn::setConvolutionDesc(backward_filter_math_, bwd_conv_filter_descs_[i],
         pad_h, pad_w, stride_h, stride_w, dilation_h, dilation_w);
-    setConvolutionDesc(backward_data_math_, bwd_cached_conv_data_descs_[i],
+    cudnn::setConvolutionDesc(backward_data_math_, bwd_cached_conv_data_descs_[i],
         pad_h, pad_w, stride_h, stride_w, dilation_h, dilation_w);
-    setConvolutionDesc(backward_filter_math_, bwd_cached_conv_filter_descs_[i],
+    cudnn::setConvolutionDesc(backward_filter_math_, bwd_cached_conv_filter_descs_[i],
         pad_h, pad_w, stride_h, stride_w, dilation_h, dilation_w);
 
     // Set cached descriptors
@@ -461,9 +440,12 @@ void CuDNNConvolutionLayer<Ftype, Btype>::Reshape(
             // Now taking the rest for running FindEx calls
             // We'll release what's possible in BW pass
             AllocateFindExWorkspace();
+            // Also used by Test Net but based on shared space taken by Train:
+            FindExConvAlgo(bottom, top);
           }
-          // Also used by Test Net but based on shared space taken by Train:
-          FindExConvAlgo(bottom, top);
+//          else {
+//            AllocateWorkspace(bottom.size());
+//          }
           use_algo_seeker_ = false;
         }
         break;
@@ -471,27 +453,6 @@ void CuDNNConvolutionLayer<Ftype, Btype>::Reshape(
         LOG(FATAL) << "Wrong value for cudnn_convolution_algo_seeker";
     }
   }
-
-  if (ok_to_release() && this->phase_ == TRAIN) {
-    const int dev = Caffe::current_device();
-    shared_ptr<GPUMemory::Workspace>& ws = GPUMemory::workspace_[dev];
-    if (!ws_released_[dev] && ws_allocated_[dev] > 0UL) {
-      // Housekeeping: release excessive amount of device memory after FindEx calls
-      size_t mem_req = align_up<7>(std::max(train_mem_req_all_grps_[dev],
-          test_mem_req_all_grps_[dev]) + PAGE_SIZE);
-      if (mem_req > 0UL && ws->size() > mem_req) {
-        // Winner needs half less - release the rest
-        LOG(INFO) << this->print_current_device()
-                  << " Layer '" << this->name() << "' reallocating workspace "
-                  << mem_fmt(ws->size()) << " to " << mem_fmt(mem_req);
-        // TRAIN only
-        ws->release();
-        ws->reserve(mem_req);
-        ws_released_[dev] = true;
-        GPUMemory::weights_workspace_[dev]->release();
-      }
-    }
-  }
 }
 
 template <typename Ftype, typename Btype>
@@ -848,6 +809,7 @@ void CuDNNConvolutionLayer<Ftype, Btype>::FindExConvAlgo(
       }
     }
     CUDA_CHECK(cudaStreamSynchronize(Caffe::thread_stream()));
+    ws->release();
     AllocateWorkspace(bottom.size());  // if user overrides
 
     size_t available_memory, total_memory;
@@ -982,8 +944,6 @@ bool CuDNNConvolutionLayer<Ftype, Btype>::IsConvDescChanged(
 
 template <typename Ftype, typename Btype>
 CuDNNConvolutionLayer<Ftype, Btype>::~CuDNNConvolutionLayer() {
-  const int dev = Caffe::current_device();
-  ws_released_[dev] = false;  // For next unit test
   // Check that handles have been setup before destroying.
   if (!handles_setup_) { return; }
 
diff --git a/src/caffe/layers/cudnn_conv_layer.cu b/src/caffe/layers/cudnn_conv_layer.cu
index 569fcf0058a..3da17628437 100644
--- a/src/caffe/layers/cudnn_conv_layer.cu
+++ b/src/caffe/layers/cudnn_conv_layer.cu
@@ -12,9 +12,9 @@ template<typename Ftype, typename Btype>
 void CuDNNConvolutionLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
     const vector<Blob*>& top) {
   const Ftype* weight = this->blobs_[0]->template gpu_data<Ftype>();
-  if (fwd_count_ < 4) {
-    AllocateWorkspace(bottom.size());
-  }
+//  if (fwd_count_ < 4) {
+//    AllocateWorkspace(bottom.size());
+//  }
   shared_ptr<GPUMemory::Workspace>& ws = GPUMemory::workspace_[Caffe::current_device()];
   if (use_v7grouping()) {
     for (int i = 0; i < bottom.size(); ++i) {
@@ -83,9 +83,9 @@ template <typename Ftype, typename Btype>
 void CuDNNConvolutionLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
     const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
   propagate_down_ = propagate_down;
-  if (bwd_count_ < 4) {
-    AllocateWorkspace(bottom.size());
-  }
+//  if (bwd_count_ < 4) {
+//    AllocateWorkspace(bottom.size());
+//  }
   shared_ptr<GPUMemory::Workspace>& ws = GPUMemory::workspace_[Caffe::current_device()];
   if (use_v7grouping()) {
     // compute dE/dB = sum_c(dE/dy)
diff --git a/src/caffe/layers/cudnn_deconv_layer.cpp b/src/caffe/layers/cudnn_deconv_layer.cpp
new file mode 100644
index 00000000000..6834dfda3b6
--- /dev/null
+++ b/src/caffe/layers/cudnn_deconv_layer.cpp
@@ -0,0 +1,328 @@
+#ifdef USE_CUDNN
+#include <algorithm>
+#include <vector>
+
+#include "caffe/layers/cudnn_deconv_layer.hpp"
+
+namespace caffe {
+
+// Set to three for the benefit of the backward pass, which
+// can use separate streams for calculating the gradient w.r.t.
+// bias, filter weights, and bottom data for each group independently
+#define CUDNN_STREAMS_PER_GROUP 3
+
+/**
+ * TODO(dox) explain cuDNN interface
+ */
+template<typename Ftype, typename Btype>
+void CuDNNDeconvolutionLayer<Ftype, Btype>::LayerSetUp(
+    const vector<Blob*>& bottom, const vector<Blob*>& top) {
+  DeconvolutionLayer<Ftype, Btype>::LayerSetUp(bottom, top);
+  // Initialize CUDA streams and cuDNN.
+  stream_         = new cudaStream_t[this->group_ * CUDNN_STREAMS_PER_GROUP];
+  handle_         = new cudnnHandle_t[this->group_ * CUDNN_STREAMS_PER_GROUP];
+
+  // Initialize algorithm arrays
+  fwd_algo_       = new cudnnConvolutionFwdAlgo_t[bottom.size()];
+  bwd_filter_algo_= new cudnnConvolutionBwdFilterAlgo_t[bottom.size()];
+  bwd_data_algo_  = new cudnnConvolutionBwdDataAlgo_t[bottom.size()];
+
+  // initialize size arrays
+  workspace_fwd_sizes_ = new size_t[bottom.size()];
+  workspace_bwd_filter_sizes_ = new size_t[bottom.size()];
+  workspace_bwd_data_sizes_ = new size_t[bottom.size()];
+
+  // workspace data
+  workspaceSizeInBytes = 0;
+  workspaceData = NULL;
+  workspace = new void*[this->group_ * CUDNN_STREAMS_PER_GROUP];
+
+  for (size_t i = 0; i < bottom.size(); ++i) {
+    // initialize all to default algorithms
+    fwd_algo_[i] = (cudnnConvolutionFwdAlgo_t)0;
+    bwd_filter_algo_[i] = (cudnnConvolutionBwdFilterAlgo_t)0;
+    bwd_data_algo_[i] = (cudnnConvolutionBwdDataAlgo_t)0;
+    // default algorithms don't require workspace
+    workspace_fwd_sizes_[i] = 0;
+    workspace_bwd_data_sizes_[i] = 0;
+    workspace_bwd_filter_sizes_[i] = 0;
+  }
+
+  for (int g = 0; g < this->group_ * CUDNN_STREAMS_PER_GROUP; g++) {
+    CUDA_CHECK(cudaStreamCreate(&stream_[g]));
+    CUDNN_CHECK(cudnnCreate(&handle_[g]));
+    CUDNN_CHECK(cudnnSetStream(handle_[g], stream_[g]));
+    workspace[g] = NULL;
+  }
+
+  // Set the indexing parameters.
+  bias_offset_ = (this->num_output_ / this->group_);
+
+  // Create filter descriptor.
+  const int* kernel_shape_data = this->kernel_shape_.cpu_data();
+  const int kernel_h = kernel_shape_data[0];
+  const int kernel_w = kernel_shape_data[1];
+  cudnn::createFilterDesc<Btype>(&filter_desc_,    ///////// FIXME!!!!!!!!!!!!!
+                                 this->channels_ / this->group_,
+                                 this->num_output_ / this->group_,
+                                 kernel_h,
+                                 kernel_w);
+
+  // Create tensor descriptor(s) for data and corresponding convolution(s).
+  for (int i = 0; i < bottom.size(); i++) {
+    cudnnTensorDescriptor_t bottom_desc;
+    cudnn::createTensor4dDesc<Btype>(&bottom_desc);
+    bottom_descs_.push_back(bottom_desc);
+    cudnnTensorDescriptor_t top_desc;
+    cudnn::createTensor4dDesc<Btype>(&top_desc);
+    top_descs_.push_back(top_desc);
+    cudnnConvolutionDescriptor_t conv_desc;
+    cudnnCreateConvolutionDescriptor(&conv_desc);
+    conv_descs_.push_back(conv_desc);
+  }
+
+  // Tensor descriptor for bias.
+  if (this->bias_term_) {
+    cudnn::createTensor4dDesc<Btype>(&bias_desc_);
+  }
+
+  handles_setup_ = true;
+}
+
+template<typename Ftype, typename Btype>
+void CuDNNDeconvolutionLayer<Ftype, Btype>::Reshape(
+    const vector<Blob*>& bottom, const vector<Blob*>& top) {
+  DeconvolutionLayer<Ftype, Btype>::Reshape(bottom, top);
+  CHECK_EQ(2, this->num_spatial_axes_)
+      << "CuDNNDeconvolutionLayer input must have 2 spatial axes "
+      << "(e.g., height and width). "
+      << "Use 'engine: CAFFE' for general ND convolution.";
+  bottom_offset_ = this->bottom_dim_ / this->group_;
+  top_offset_ = this->top_dim_ / this->group_;
+  const int height = bottom[0]->shape(this->channel_axis_ + 1);
+  const int width = bottom[0]->shape(this->channel_axis_ + 2);
+  const int height_out = top[0]->shape(this->channel_axis_ + 1);
+  const int width_out = top[0]->shape(this->channel_axis_ + 2);
+  const int* pad_data = this->pad_.cpu_data();
+  const int pad_h = pad_data[0];
+  const int pad_w = pad_data[1];
+  const int* stride_data = this->stride_.cpu_data();
+  const int stride_h = stride_data[0];
+  const int stride_w = stride_data[1];
+
+  // Specify workspace limit for kernels directly until we have a
+  // planning strategy and a rewrite of Caffe's GPU memory mangagement
+  size_t workspace_limit_bytes = 8*1024*1024;
+
+  for (int i = 0; i < bottom.size(); i++) {
+    cudnn::setTensor4dDesc<Btype>(&bottom_descs_[i],
+                                  this->num_,
+                                  this->channels_ / this->group_,
+                                  height,
+                                  width,
+                                  this->channels_ * height * width,
+                                  height * width,
+                                  width,
+                                  1);
+    cudnn::setTensor4dDesc<Btype>(&top_descs_[i],
+                                  this->num_,
+                                  this->num_output_ / this->group_,
+                                  height_out,
+                                  width_out,
+                                  this->num_output_ * height_out * width_out,
+                                  height_out * width_out,
+                                  width_out,
+                                  1);
+    cudnn::setConvolutionDesc(forward_math_,
+                              conv_descs_[i],
+//                              top_descs_[i],
+//                              filter_desc_,
+                              pad_h,
+                              pad_w,
+                              stride_h,
+                              stride_w, 1, 1);
+
+    // choose forward and backward algorithms + workspace(s)
+    CUDNN_CHECK(cudnnGetConvolutionForwardAlgorithm(
+        handle_[0],
+        top_descs_[i],
+        filter_desc_,
+        conv_descs_[i],
+        bottom_descs_[i],
+        CUDNN_CONVOLUTION_FWD_SPECIFY_WORKSPACE_LIMIT,
+        workspace_limit_bytes,
+        &fwd_algo_[i]));
+
+    // We have found that CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM is
+    // buggy. Thus, if this algo was chosen, choose winograd instead. If
+    // winograd is not supported or workspace is larger than threshold, choose
+    // implicit_gemm instead.
+//    if (fwd_algo_[i] == CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM) {
+//      size_t winograd_workspace_size;
+//      cudnnStatus_t status = cudnnGetConvolutionForwardWorkspaceSize(
+//          handle_[0],
+//          top_descs_[i],
+//          filter_desc_,
+//          conv_descs_[i],
+//          bottom_descs_[i],
+//          CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD,
+//          &winograd_workspace_size);
+//      if (status != CUDNN_STATUS_SUCCESS ||
+//          winograd_workspace_size >= workspace_limit_bytes) {
+//        fwd_algo_[i] = CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM;
+//      } else {
+//        fwd_algo_[i] = CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD;
+//      }
+//    }
+
+    CUDNN_CHECK(cudnnGetConvolutionForwardWorkspaceSize(
+        handle_[0],
+        top_descs_[i],
+        filter_desc_,
+        conv_descs_[i],
+        bottom_descs_[i],
+        fwd_algo_[i],
+        &(workspace_fwd_sizes_[i])));
+
+    // choose backward algorithm for filter
+    CUDNN_CHECK(cudnnGetConvolutionBackwardFilterAlgorithm(
+        handle_[0],
+        top_descs_[i],
+        bottom_descs_[i],
+        conv_descs_[i],
+        filter_desc_,
+        CUDNN_CONVOLUTION_BWD_FILTER_SPECIFY_WORKSPACE_LIMIT,
+        workspace_limit_bytes,
+        &bwd_filter_algo_[i]));
+
+    // get workspace for backwards filter algorithm
+    CUDNN_CHECK(cudnnGetConvolutionBackwardFilterWorkspaceSize(
+        handle_[0],
+        top_descs_[i],
+        bottom_descs_[i],
+        conv_descs_[i],
+        filter_desc_,
+        bwd_filter_algo_[i],
+        &workspace_bwd_filter_sizes_[i]));
+
+    // choose backward algo for data
+    CUDNN_CHECK(cudnnGetConvolutionBackwardDataAlgorithm(
+        handle_[0],
+        filter_desc_,
+        bottom_descs_[i],
+        conv_descs_[i],
+        top_descs_[i],
+        CUDNN_CONVOLUTION_BWD_DATA_SPECIFY_WORKSPACE_LIMIT,
+        workspace_limit_bytes,
+        &bwd_data_algo_[i]));
+
+    // get workspace size
+    CUDNN_CHECK(cudnnGetConvolutionBackwardDataWorkspaceSize(
+        handle_[0],
+        filter_desc_,
+        bottom_descs_[i],
+        conv_descs_[i],
+        top_descs_[i],
+        bwd_data_algo_[i],
+        &workspace_bwd_data_sizes_[i]));
+  }
+
+  // reduce over all workspace sizes to get a maximum to allocate / reallocate
+  size_t total_workspace_fwd = 0;
+  size_t total_workspace_bwd_data = 0;
+  size_t total_workspace_bwd_filter = 0;
+
+  for (size_t i = 0; i < bottom.size(); i++) {
+    total_workspace_fwd        = std::max(total_workspace_fwd,
+                                     workspace_fwd_sizes_[i]);
+    total_workspace_bwd_data   = std::max(total_workspace_bwd_data,
+                                     workspace_bwd_data_sizes_[i]);
+    total_workspace_bwd_filter = std::max(total_workspace_bwd_filter,
+                                     workspace_bwd_filter_sizes_[i]);
+  }
+  // get max over all operations
+  size_t max_workspace = std::max(total_workspace_fwd,
+                             total_workspace_bwd_data);
+  max_workspace = std::max(max_workspace, total_workspace_bwd_filter);
+  // ensure all groups have enough workspace
+  size_t total_max_workspace = max_workspace *
+                               (this->group_ * CUDNN_STREAMS_PER_GROUP);
+
+  // this is the total amount of storage needed over all groups + streams
+  if (total_max_workspace > workspaceSizeInBytes) {
+    DLOG(INFO) << "Reallocating workspace storage: " << total_max_workspace;
+    workspaceSizeInBytes = total_max_workspace;
+
+    // free the existing workspace and allocate a new (larger) one
+    cudaFree(this->workspaceData);
+
+    cudaError_t err = cudaMalloc(&(this->workspaceData), workspaceSizeInBytes);
+    if (err != cudaSuccess) {
+      // force zero memory path
+      for (int i = 0; i < bottom.size(); i++) {
+        workspace_fwd_sizes_[i] = 0;
+        workspace_bwd_filter_sizes_[i] = 0;
+        workspace_bwd_data_sizes_[i] = 0;
+        fwd_algo_[i] = CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING;
+        bwd_filter_algo_[i] = CUDNN_CONVOLUTION_BWD_FILTER_ALGO_0;
+        bwd_data_algo_[i] = CUDNN_CONVOLUTION_BWD_DATA_ALGO_0;
+      }
+
+      // NULL out all workspace pointers
+      for (int g = 0; g < (this->group_ * CUDNN_STREAMS_PER_GROUP); g++) {
+        workspace[g] = NULL;
+      }
+      // NULL out underlying data
+      workspaceData = NULL;
+      workspaceSizeInBytes = 0;
+    }
+
+    // if we succeed in the allocation, set pointer aliases for workspaces
+    for (int g = 0; g < (this->group_ * CUDNN_STREAMS_PER_GROUP); g++) {
+      workspace[g] = reinterpret_cast<char *>(workspaceData) + g*max_workspace;
+    }
+  }
+
+  // Tensor descriptor for bias.
+  if (this->bias_term_) {
+    cudnn::setTensor4dDesc<Btype>(
+        &bias_desc_, 1, this->num_output_ / this->group_, 1, 1);
+  }
+}
+
+template<typename Ftype, typename Btype>
+CuDNNDeconvolutionLayer<Ftype, Btype>::~CuDNNDeconvolutionLayer() {
+  // Check that handles have been setup before destroying.
+  if (!handles_setup_) { return; }
+
+  for (int i = 0; i < bottom_descs_.size(); i++) {
+    cudnnDestroyTensorDescriptor(bottom_descs_[i]);
+    cudnnDestroyTensorDescriptor(top_descs_[i]);
+    cudnnDestroyConvolutionDescriptor(conv_descs_[i]);
+  }
+  if (this->bias_term_) {
+    cudnnDestroyTensorDescriptor(bias_desc_);
+  }
+  cudnnDestroyFilterDescriptor(filter_desc_);
+
+  for (int g = 0; g < this->group_ * CUDNN_STREAMS_PER_GROUP; g++) {
+    cudaStreamDestroy(stream_[g]);
+    cudnnDestroy(handle_[g]);
+  }
+
+  cudaFree(workspaceData);
+  delete [] workspace;
+  delete [] stream_;
+  delete [] handle_;
+  delete [] fwd_algo_;
+  delete [] bwd_filter_algo_;
+  delete [] bwd_data_algo_;
+  delete [] workspace_fwd_sizes_;
+  delete [] workspace_bwd_data_sizes_;
+  delete [] workspace_bwd_filter_sizes_;
+}
+
+INSTANTIATE_CLASS_FB(CuDNNDeconvolutionLayer);
+
+}   // namespace caffe
+#endif
diff --git a/src/caffe/layers/cudnn_deconv_layer.cu b/src/caffe/layers/cudnn_deconv_layer.cu
new file mode 100644
index 00000000000..377a23e0303
--- /dev/null
+++ b/src/caffe/layers/cudnn_deconv_layer.cu
@@ -0,0 +1,138 @@
+#ifdef USE_CUDNN
+#include <vector>
+
+#include "caffe/layers/cudnn_deconv_layer.hpp"
+
+namespace caffe {
+
+__global__ void sync_deconv_groups() {}
+
+template<typename Ftype, typename Btype>
+void CuDNNDeconvolutionLayer<Ftype, Btype>::Forward_gpu(
+    const vector<Blob*>& bottom, const vector<Blob*>& top) {
+  const Ftype* weight = this->blobs_[0]->template gpu_data<Ftype>();
+  for (int i = 0; i < bottom.size(); ++i) {
+    const Ftype* bottom_data = bottom[i]->gpu_data<Ftype>();
+    Ftype* top_data = top[i]->mutable_gpu_data<Ftype>();
+
+    // Forward through cuDNN in parallel over groups.
+    for (int g = 0; g < this->group_; g++) {
+      // Filters.
+      CUDNN_CHECK(cudnnConvolutionBackwardData(
+          handle_[g],
+          cudnn::dataType<Ftype>::one,
+          filter_desc_,
+          weight + this->weight_offset_ * g,
+          bottom_descs_[i],
+          bottom_data + bottom_offset_ * g,
+          conv_descs_[i],
+          bwd_data_algo_[i],
+          workspace[g],
+          workspace_bwd_data_sizes_[i],
+          cudnn::dataType<Ftype>::zero,
+          top_descs_[i],
+          top_data + top_offset_ * g));
+
+      // Bias.
+      if (this->bias_term_) {
+        const Ftype* bias_data = this->blobs_[1]->template gpu_data<Ftype>();
+        CUDNN_CHECK(cudnnAddTensor(handle_[g],
+                                   cudnn::dataType<Ftype>::one,
+                                   bias_desc_,
+                                   bias_data + bias_offset_ * g,
+                                   cudnn::dataType<Ftype>::one,
+                                   top_descs_[i],
+                                   top_data + top_offset_ * g));
+      }
+    }
+
+    // Synchronize the work across groups, each of which went into its own
+    // stream, by launching an empty kernel into the default (null) stream.
+    // NOLINT_NEXT_LINE(whitespace/operators)
+    sync_deconv_groups<<<1, 1>>>();  // FIXME
+  }
+}
+
+template<typename Ftype, typename Btype>
+void CuDNNDeconvolutionLayer<Ftype, Btype>::Backward_gpu(
+    const vector<Blob*>& top,
+    const vector<bool>& propagate_down,
+    const vector<Blob*>& bottom) {
+  const Btype* weight = NULL;
+  Btype* weight_diff = NULL;
+  if (this->param_propagate_down_[0]) {
+    weight = this->blobs_[0]->template gpu_data<Btype>();
+    weight_diff = this->blobs_[0]->template mutable_gpu_diff<Btype>();
+  }
+  Btype* bias_diff = NULL;
+  if (this->bias_term_ && this->param_propagate_down_[1]) {
+    bias_diff = this->blobs_[1]->template mutable_gpu_diff<Btype>();
+  }
+  for (int i = 0; i < top.size(); ++i) {
+    const Btype* top_diff = top[i]->gpu_diff<Btype>();
+    // Backward through cuDNN in parallel over groups and gradients.
+    for (int g = 0; g < this->group_; g++) {
+      // Gradient w.r.t. bias.
+      if (this->bias_term_ && this->param_propagate_down_[1]) {
+        CUDNN_CHECK(cudnnConvolutionBackwardBias(handle_[0 * this->group_ + g],
+                                                 cudnn::dataType<Btype>::one,
+                                                 top_descs_[i],
+                                                 top_diff + top_offset_ * g,
+                                                 cudnn::dataType<Btype>::one,
+                                                 bias_desc_,
+                                                 bias_diff + bias_offset_ * g));
+      }
+
+      // Gradient w.r.t. weights.
+      if (this->param_propagate_down_[0]) {
+        const Btype* bottom_data = bottom[i]->gpu_data<Btype>();
+        CUDNN_CHECK(cudnnConvolutionBackwardFilter(
+            handle_[1 * this->group_ + g],
+            cudnn::dataType<Btype>::one,
+            top_descs_[i],
+            top_diff + top_offset_ * g,
+            bottom_descs_[i],
+            bottom_data + bottom_offset_ * g,
+            conv_descs_[i],
+            bwd_filter_algo_[i],
+            workspace[1 * this->group_ + g],
+            workspace_bwd_filter_sizes_[i],
+            cudnn::dataType<Btype>::one,
+            filter_desc_,
+            weight_diff + this->weight_offset_ * g));
+      }
+
+      // Gradient w.r.t. bottom data.
+      if (propagate_down[i]) {
+        if (weight == NULL) {
+          weight = this->blobs_[0]->template gpu_data<Btype>();
+        }
+        Btype* bottom_diff = bottom[i]->mutable_gpu_diff<Btype>();
+        CUDNN_CHECK(
+            cudnnConvolutionForward(handle_[2 * this->group_ + g],
+                                    cudnn::dataType<Btype>::one,
+                                    top_descs_[i],
+                                    top_diff + top_offset_ * g,
+                                    filter_desc_,
+                                    weight + this->weight_offset_ * g,
+                                    conv_descs_[i],
+                                    fwd_algo_[i],
+                                    workspace[2 * this->group_ + g],
+                                    workspace_fwd_sizes_[i],
+                                    cudnn::dataType<Btype>::zero,
+                                    bottom_descs_[i],
+                                    bottom_diff + bottom_offset_ * g));
+      }
+    }
+
+    // Synchronize the work across groups, each of which went into its own
+    // stream, by launching an empty kernel into the default (null) stream.
+    // NOLINT_NEXT_LINE(whitespace/operators)
+    sync_deconv_groups<<<1, 1>>>();
+  }
+}
+
+INSTANTIATE_LAYER_GPU_FUNCS_FB(CuDNNDeconvolutionLayer);
+
+}  // namespace caffe
+#endif
diff --git a/src/caffe/layers/data_layer.cpp b/src/caffe/layers/data_layer.cpp
index 2a18ee483c8..53a8005b922 100644
--- a/src/caffe/layers/data_layer.cpp
+++ b/src/caffe/layers/data_layer.cpp
@@ -10,7 +10,7 @@ DataLayer<Ftype, Btype>::DataLayer(const LayerParameter& param, size_t solver_ra
   : BasePrefetchingDataLayer<Ftype, Btype>(param, solver_rank),
     cache_(param.data_param().cache()),
     shuffle_(param.data_param().shuffle()) {
-  sample_only_.store(this->auto_mode_ && this->phase_ == TRAIN);
+  sample_only_.store(this->auto_mode_);
   init_offsets();
   datum_encoded_ = false;
 }
@@ -44,7 +44,8 @@ DataLayer<Ftype, Btype>::InitializePrefetch() {
   if (layer_inititialized_flag_.is_set()) {
     return;
   }
-  if (this->auto_mode()) {
+  const bool auto_mode = this->auto_mode_;
+  if (auto_mode) {
     // Here we try to optimize memory split between prefetching and convolution.
     // All data and parameter blobs are allocated at this moment.
     // Now let's find out what's left...
@@ -95,14 +96,16 @@ DataLayer<Ftype, Btype>::InitializePrefetch() {
     if (this->parsers_num_ > 1) {
       parser_offsets_[0]++;  // 0th already processed
     }
+    this->auto_mode_ = false;
+    layer_inititialized_flag_.set();
     this->go();  // kick off new threads if any
   }
 
   CHECK_EQ(this->threads_num(), this->transf_num_);
   LOG(INFO) << this->print_current_device() << " Parser threads: "
-      << this->parsers_num_ << (this->auto_mode_ ? " (auto)" : "");
+      << this->parsers_num_ << (auto_mode ? " (auto)" : "");
   LOG(INFO) << this->print_current_device() << " Transformer threads: "
-      << this->transf_num_ << (this->auto_mode_ ? " (auto)" : "");
+      << this->transf_num_ << (auto_mode ? " (auto)" : "");
   layer_inititialized_flag_.set();
 }
 
@@ -127,7 +130,7 @@ DataLayer<Ftype, Btype>::DataLayerSetUp(const vector<Blob*>& bottom, const vecto
 
   if (this->auto_mode_) {
     if (!sample_reader_) {
-      sample_reader_ = std::make_shared<DataReader>(param, Caffe::solver_count(),
+      sample_reader_ = std::make_shared<DataReader<Datum>>(param, Caffe::solver_count(),
           this->rank_,
           this->parsers_num_,
           this->threads_num(),
@@ -138,7 +141,7 @@ DataLayer<Ftype, Btype>::DataLayerSetUp(const vector<Blob*>& bottom, const vecto
           shuffle,
           false);
     } else if (!reader_) {
-      reader_ = std::make_shared<DataReader>(param,
+      reader_ = std::make_shared<DataReader<Datum>>(param,
           Caffe::solver_count(),
           this->rank_,
           this->parsers_num_,
@@ -151,7 +154,7 @@ DataLayer<Ftype, Btype>::DataLayerSetUp(const vector<Blob*>& bottom, const vecto
           this->phase_ == TRAIN);
     }
   } else if (!reader_) {
-    reader_ = std::make_shared<DataReader>(param,
+    reader_ = std::make_shared<DataReader<Datum>>(param,
         Caffe::solver_count(),
         this->rank_,
         this->parsers_num_,
@@ -174,8 +177,7 @@ DataLayer<Ftype, Btype>::DataLayerSetUp(const vector<Blob*>& bottom, const vecto
   // Note: all these reshapings here in load_batch are needed only in case of
   // different datum shapes coming from database.
   Packing packing = NHWC;  // OpenCV
-  vector<int> top_shape = this->dt(0)->template Transform<Btype>(sample_datum.get(),
-      nullptr, 0, packing);
+  vector<int> top_shape = this->bdt(0)->Transform(sample_datum.get(), nullptr, 0, packing);
   top_shape[0] = batch_size;
   top[0]->Reshape(top_shape);
 
@@ -209,14 +211,14 @@ void DataLayer<Ftype, Btype>::load_batch(Batch* batch, int thread_id, size_t que
   const int batch_size = this->layer_param_.data_param().batch_size();
 
   const size_t qid = sample_only ? 0UL : queue_id;
-  DataReader* reader = sample_only ? sample_reader_.get() : reader_.get();
+  DataReader<Datum>* reader = sample_only ? sample_reader_.get() : reader_.get();
   shared_ptr<Datum> init_datum = reader->full_peek(qid);
   CHECK(init_datum);
   const bool use_gpu_transform = this->is_gpu_transform();
   Packing packing = NHWC;  // OpenCV
   // Use data_transformer to infer the expected blob shape from datum.
   vector<int> top_shape =
-      this->dt(thread_id)->template Transform<Btype>(init_datum.get(), nullptr, 0, packing);
+      this->bdt(thread_id)->Transform(init_datum.get(), nullptr, 0, packing);
   // Reshape batch according to the batch_size.
   top_shape[0] = batch_size;
   if (top_shape != batch->data_->shape()) {
@@ -303,14 +305,14 @@ void DataLayer<Ftype, Btype>::load_batch(Batch* batch, int thread_id, size_t que
       CUDA_CHECK(cudaMemcpyAsync(static_cast<char*>(dst_gptr) + item_id * datum_size,
           src_buf.data(), datum_size, cudaMemcpyHostToDevice, stream));
       CUDA_CHECK(cudaStreamSynchronize(stream));
-      this->dt(thread_id)->Fill3Randoms(&random_vectors_[thread_id]->
+      this->bdt(thread_id)->Fill3Randoms(&random_vectors_[thread_id]->
           mutable_cpu_data()[item_id * 3]);
     } else {
       // Get data offset for this datum to hand off to transform thread
       const size_t offset = batch->data_->offset(item_id);
       CHECK_EQ(0, offset % buf_len);
 #if defined(USE_CUDNN)
-      vector<int> shape = this->dt(thread_id)->Transform(datum.get(), dst_cptr + offset,
+      vector<int> shape = this->bdt(thread_id)->Transform(datum.get(), dst_cptr + offset,
           buf_len, packing, false);
 #else
       vector<Btype> tmp(top_shape[1] * top_shape[2] * top_shape[3]);
@@ -333,7 +335,7 @@ void DataLayer<Ftype, Btype>::load_batch(Batch* batch, int thread_id, size_t que
   }
 
   if (use_gpu_transform) {
-    this->dt(thread_id)->TransformGPU(top_shape[0], top_shape[1],
+    this->fdt(thread_id)->TransformGPU(top_shape[0], top_shape[1],
         init_datum_height,  // non-crop
         init_datum_width,  // non-crop
         datum_sizeof_element,
diff --git a/src/caffe/layers/detection_evaluate_layer.cpp b/src/caffe/layers/detection_evaluate_layer.cpp
new file mode 100644
index 00000000000..6b53f04342f
--- /dev/null
+++ b/src/caffe/layers/detection_evaluate_layer.cpp
@@ -0,0 +1,250 @@
+#include <algorithm>
+#include <map>
+#include <string>
+#include <vector>
+
+#include "caffe/layers/detection_evaluate_layer.hpp"
+#include "caffe/util/bbox_util.hpp"
+
+namespace caffe {
+
+template <typename Ftype, typename Btype>
+void DetectionEvaluateLayer<Ftype, Btype>::LayerSetUp(
+      const vector<Blob*>& bottom, const vector<Blob*>& top) {
+  const DetectionEvaluateParameter& detection_evaluate_param =
+      this->layer_param_.detection_evaluate_param();
+  CHECK(detection_evaluate_param.has_num_classes())
+      << "Must provide num_classes.";
+  num_classes_ = detection_evaluate_param.num_classes();
+  background_label_id_ = detection_evaluate_param.background_label_id();
+  overlap_threshold_ = detection_evaluate_param.overlap_threshold();
+  CHECK_GT(overlap_threshold_, 0.) << "overlap_threshold must be non negative.";
+  evaluate_difficult_gt_ = detection_evaluate_param.evaluate_difficult_gt();
+  if (detection_evaluate_param.has_name_size_file()) {
+    string name_size_file = detection_evaluate_param.name_size_file();
+    std::ifstream infile(name_size_file.c_str());
+    CHECK(infile.good())
+        << "Failed to open name size file: " << name_size_file;
+    // The file is in the following format:
+    //    name height width
+    //    ...
+    string name;
+    int height, width;
+    while (infile >> name >> height >> width) {
+      sizes_.push_back(std::make_pair(height, width));
+    }
+    infile.close();
+  }
+  count_ = 0;
+  // If there is no name_size_file provided, use normalized bbox to evaluate.
+  use_normalized_bbox_ = sizes_.size() == 0;
+
+  // Retrieve resize parameter if there is any provided.
+  has_resize_ = detection_evaluate_param.has_resize_param();
+  if (has_resize_) {
+    resize_param_ = detection_evaluate_param.resize_param();
+  }
+}
+
+template <typename Ftype, typename Btype>
+void DetectionEvaluateLayer<Ftype, Btype>::Reshape(const vector<Blob*>& bottom,
+      const vector<Blob*>& top) {
+  CHECK_LE(count_, sizes_.size());
+  CHECK_EQ(bottom[0]->num(), 1);
+  CHECK_EQ(bottom[0]->channels(), 1);
+  CHECK_EQ(bottom[0]->width(), 7);
+  CHECK_EQ(bottom[1]->num(), 1);
+  CHECK_EQ(bottom[1]->channels(), 1);
+  CHECK_EQ(bottom[1]->width(), 8);
+
+  // num() and channels() are 1.
+  vector<int> top_shape(2, 1);
+  int num_pos_classes = background_label_id_ == -1 ?
+      num_classes_ : num_classes_ - 1;
+  int num_valid_det = 0;
+  const Dtype* det_data = bottom[0]->cpu_data<Dtype>();
+  for (int i = 0; i < bottom[0]->height(); ++i) {
+    if (det_data[1] != -1) {
+      ++num_valid_det;
+    }
+    det_data += 7;
+  }
+  top_shape.push_back(num_pos_classes + num_valid_det);
+  // Each row is a 5 dimension vector, which stores
+  // [image_id, label, confidence, true_pos, false_pos]
+  top_shape.push_back(5);
+  top[0]->Reshape(top_shape);
+}
+
+template <typename Ftype, typename Btype>
+void DetectionEvaluateLayer<Ftype, Btype>::Forward_cpu(
+    const vector<Blob*>& bottom, const vector<Blob*>& top) {
+  const Dtype* det_data = bottom[0]->cpu_data<Dtype>();
+  const Dtype* gt_data = bottom[1]->cpu_data<Dtype>();
+
+  // Retrieve all detection results.
+  map<int, LabelBBox> all_detections;
+  GetDetectionResults(det_data, bottom[0]->height(), background_label_id_,
+                      &all_detections);
+
+  // Retrieve all ground truth (including difficult ones).
+  map<int, LabelBBox> all_gt_bboxes;
+  GetGroundTruth(gt_data, bottom[1]->height(), background_label_id_,
+                 true, &all_gt_bboxes);
+
+  Dtype* top_data = top[0]->mutable_cpu_data<Dtype>();
+  caffe_set(top[0]->count(), Dtype(0.), top_data);
+  int num_det = 0;
+
+  // Insert number of ground truth for each label.
+  map<int, int> num_pos;
+  for (map<int, LabelBBox>::iterator it = all_gt_bboxes.begin();
+       it != all_gt_bboxes.end(); ++it) {
+    for (LabelBBox::iterator iit = it->second.begin(); iit != it->second.end();
+         ++iit) {
+      int count = 0;
+      if (evaluate_difficult_gt_) {
+        count = iit->second.size();
+      } else {
+        // Get number of non difficult ground truth.
+        for (int i = 0; i < iit->second.size(); ++i) {
+          if (!iit->second[i].difficult()) {
+            ++count;
+          }
+        }
+      }
+      if (num_pos.find(iit->first) == num_pos.end()) {
+        num_pos[iit->first] = count;
+      } else {
+        num_pos[iit->first] += count;
+      }
+    }
+  }
+  for (int c = 0; c < num_classes_; ++c) {
+    if (c == background_label_id_) {
+      continue;
+    }
+    top_data[num_det * 5] = -1;
+    top_data[num_det * 5 + 1] = c;
+    if (num_pos.find(c) == num_pos.end()) {
+      top_data[num_det * 5 + 2] = 0;
+    } else {
+      top_data[num_det * 5 + 2] = num_pos.find(c)->second;
+    }
+    top_data[num_det * 5 + 3] = -1;
+    top_data[num_det * 5 + 4] = -1;
+    ++num_det;
+  }
+
+  // Insert detection evaluate status.
+  for (map<int, LabelBBox>::iterator it = all_detections.begin();
+       it != all_detections.end(); ++it) {
+    int image_id = it->first;
+    LabelBBox& detections = it->second;
+    if (all_gt_bboxes.find(image_id) == all_gt_bboxes.end()) {
+      // No ground truth for current image. All detections become false_pos.
+      for (LabelBBox::iterator iit = detections.begin();
+           iit != detections.end(); ++iit) {
+        int label = iit->first;
+        if (label == -1) {
+          continue;
+        }
+        const vector<NormalizedBBox>& bboxes = iit->second;
+        for (int i = 0; i < bboxes.size(); ++i) {
+          top_data[num_det * 5] = image_id;
+          top_data[num_det * 5 + 1] = label;
+          top_data[num_det * 5 + 2] = bboxes[i].score();
+          top_data[num_det * 5 + 3] = 0;
+          top_data[num_det * 5 + 4] = 1;
+          ++num_det;
+        }
+      }
+    } else {
+      LabelBBox& label_bboxes = all_gt_bboxes.find(image_id)->second;
+      for (LabelBBox::iterator iit = detections.begin();
+           iit != detections.end(); ++iit) {
+        int label = iit->first;
+        if (label == -1) {
+          continue;
+        }
+        vector<NormalizedBBox>& bboxes = iit->second;
+        if (label_bboxes.find(label) == label_bboxes.end()) {
+          // No ground truth for current label. All detections become false_pos.
+          for (int i = 0; i < bboxes.size(); ++i) {
+            top_data[num_det * 5] = image_id;
+            top_data[num_det * 5 + 1] = label;
+            top_data[num_det * 5 + 2] = bboxes[i].score();
+            top_data[num_det * 5 + 3] = 0;
+            top_data[num_det * 5 + 4] = 1;
+            ++num_det;
+          }
+        } else {
+          vector<NormalizedBBox>& gt_bboxes = label_bboxes.find(label)->second;
+          // Scale ground truth if needed.
+          if (!use_normalized_bbox_) {
+            CHECK_LT(count_, sizes_.size());
+            for (int i = 0; i < gt_bboxes.size(); ++i) {
+              OutputBBox(gt_bboxes[i], sizes_[count_], has_resize_,
+                         resize_param_, &(gt_bboxes[i]));
+            }
+          }
+          vector<bool> visited(gt_bboxes.size(), false);
+          // Sort detections in descend order based on scores.
+          std::sort(bboxes.begin(), bboxes.end(), SortBBoxDescend);
+          for (int i = 0; i < bboxes.size(); ++i) {
+            top_data[num_det * 5] = image_id;
+            top_data[num_det * 5 + 1] = label;
+            top_data[num_det * 5 + 2] = bboxes[i].score();
+            if (!use_normalized_bbox_) {
+              OutputBBox(bboxes[i], sizes_[count_], has_resize_,
+                         resize_param_, &(bboxes[i]));
+            }
+            // Compare with each ground truth bbox.
+            float overlap_max = -1;
+            int jmax = -1;
+            for (int j = 0; j < gt_bboxes.size(); ++j) {
+              float overlap = JaccardOverlap(bboxes[i], gt_bboxes[j],
+                                             use_normalized_bbox_);
+              if (overlap > overlap_max) {
+                overlap_max = overlap;
+                jmax = j;
+              }
+            }
+            if (overlap_max >= overlap_threshold_) {
+              if (evaluate_difficult_gt_ ||
+                  (!evaluate_difficult_gt_ && !gt_bboxes[jmax].difficult())) {
+                if (!visited[jmax]) {
+                  // true positive.
+                  top_data[num_det * 5 + 3] = 1;
+                  top_data[num_det * 5 + 4] = 0;
+                  visited[jmax] = true;
+                } else {
+                  // false positive (multiple detection).
+                  top_data[num_det * 5 + 3] = 0;
+                  top_data[num_det * 5 + 4] = 1;
+                }
+              }
+            } else {
+              // false positive.
+              top_data[num_det * 5 + 3] = 0;
+              top_data[num_det * 5 + 4] = 1;
+            }
+            ++num_det;
+          }
+        }
+      }
+    }
+    if (sizes_.size() > 0) {
+      ++count_;
+      if (count_ == sizes_.size()) {
+        // reset count after a full iterations through the DB.
+        count_ = 0;
+      }
+    }
+  }
+}
+
+INSTANTIATE_CLASS_FB(DetectionEvaluateLayer);
+REGISTER_LAYER_CLASS(DetectionEvaluate);
+
+}  // namespace caffe
diff --git a/src/caffe/layers/detection_output_layer.cpp b/src/caffe/layers/detection_output_layer.cpp
new file mode 100644
index 00000000000..ebdb235bf3a
--- /dev/null
+++ b/src/caffe/layers/detection_output_layer.cpp
@@ -0,0 +1,470 @@
+#include <algorithm>
+#include <fstream>  // NOLINT(readability/streams)
+#include <map>
+#include <string>
+#include <utility>
+#include <vector>
+
+#include "boost/filesystem.hpp"
+#include "boost/foreach.hpp"
+
+#include "caffe/layers/detection_output_layer.hpp"
+
+namespace caffe {
+
+template <typename Ftype, typename Btype>
+void DetectionOutputLayer<Ftype, Btype>::LayerSetUp(const vector<Blob*>& bottom,
+      const vector<Blob*>& top) {
+  const DetectionOutputParameter& detection_output_param =
+      this->layer_param_.detection_output_param();
+  CHECK(detection_output_param.has_num_classes()) << "Must specify num_classes";
+  num_classes_ = detection_output_param.num_classes();
+  share_location_ = detection_output_param.share_location();
+  num_loc_classes_ = share_location_ ? 1 : num_classes_;
+  background_label_id_ = detection_output_param.background_label_id();
+  code_type_ = detection_output_param.code_type();
+  variance_encoded_in_target_ =
+      detection_output_param.variance_encoded_in_target();
+  keep_top_k_ = detection_output_param.keep_top_k();
+  confidence_threshold_ = detection_output_param.has_confidence_threshold() ?
+      detection_output_param.confidence_threshold() : -FLT_MAX;
+  // Parameters used in nms.
+  nms_threshold_ = detection_output_param.nms_param().nms_threshold();
+  CHECK_GE(nms_threshold_, 0.) << "nms_threshold must be non negative.";
+  eta_ = detection_output_param.nms_param().eta();
+  CHECK_GT(eta_, 0.);
+  CHECK_LE(eta_, 1.);
+  top_k_ = -1;
+  if (detection_output_param.nms_param().has_top_k()) {
+    top_k_ = detection_output_param.nms_param().top_k();
+  }
+  const SaveOutputParameter& save_output_param =
+      detection_output_param.save_output_param();
+  output_directory_ = save_output_param.output_directory();
+  if (!output_directory_.empty()) {
+    if (boost::filesystem::is_directory(output_directory_)) {
+      boost::filesystem::remove_all(output_directory_);
+    }
+    if (!boost::filesystem::create_directories(output_directory_)) {
+        LOG(WARNING) << "Failed to create directory: " << output_directory_;
+    }
+  }
+  output_name_prefix_ = save_output_param.output_name_prefix();
+  need_save_ = output_directory_ == "" ? false : true;
+  output_format_ = save_output_param.output_format();
+  if (save_output_param.has_label_map_file()) {
+    string label_map_file = save_output_param.label_map_file();
+    if (label_map_file.empty()) {
+      // Ignore saving if there is no label_map_file provided.
+      LOG(WARNING) << "Provide label_map_file if output results to files.";
+      need_save_ = false;
+    } else {
+      LabelMap label_map;
+      CHECK(ReadProtoFromTextFile(label_map_file, &label_map))
+          << "Failed to read label map file: " << label_map_file;
+      CHECK(MapLabelToName(label_map, true, &label_to_name_))
+          << "Failed to convert label to name.";
+      CHECK(MapLabelToDisplayName(label_map, true, &label_to_display_name_))
+          << "Failed to convert label to display name.";
+    }
+  } else {
+    need_save_ = false;
+  }
+  if (save_output_param.has_name_size_file()) {
+    string name_size_file = save_output_param.name_size_file();
+    if (name_size_file.empty()) {
+      // Ignore saving if there is no name_size_file provided.
+      LOG(WARNING) << "Provide name_size_file if output results to files.";
+      need_save_ = false;
+    } else {
+      std::ifstream infile(name_size_file.c_str());
+      CHECK(infile.good())
+          << "Failed to open name size file: " << name_size_file;
+      // The file is in the following format:
+      //    name height width
+      //    ...
+      string name;
+      int height, width;
+      while (infile >> name >> height >> width) {
+        names_.push_back(name);
+        sizes_.push_back(std::make_pair(height, width));
+      }
+      infile.close();
+      if (save_output_param.has_num_test_image()) {
+        num_test_image_ = save_output_param.num_test_image();
+      } else {
+        num_test_image_ = names_.size();
+      }
+      CHECK_LE(num_test_image_, names_.size());
+    }
+  } else {
+    need_save_ = false;
+  }
+  has_resize_ = save_output_param.has_resize_param();
+  if (has_resize_) {
+    resize_param_ = save_output_param.resize_param();
+  }
+  name_count_ = 0;
+  visualize_ = detection_output_param.visualize();
+  if (visualize_) {
+    visualize_threshold_ = 0.6;
+    if (detection_output_param.has_visualize_threshold()) {
+      visualize_threshold_ = detection_output_param.visualize_threshold();
+    }
+    data_transformer_.reset(new DataTransformer<Ftype>(this->layer_param_.transform_param(),
+                                                this->phase_));
+    data_transformer_->InitRand();
+    save_file_ = detection_output_param.save_file();
+  }
+  bbox_preds_.ReshapeLike(*(bottom[0]));
+  if (!share_location_) {
+    bbox_permute_.ReshapeLike(*(bottom[0]));
+  }
+  conf_permute_.ReshapeLike(*(bottom[1]));
+}
+
+template <typename Ftype, typename Btype>
+void DetectionOutputLayer<Ftype, Btype>::Reshape(const vector<Blob*>& bottom,
+      const vector<Blob*>& top) {
+  if (need_save_) {
+    CHECK_LE(name_count_, names_.size());
+    if (name_count_ % num_test_image_ == 0) {
+      // Clean all outputs.
+      if (output_format_ == "VOC") {
+        boost::filesystem::path output_directory(output_directory_);
+        for (map<int, string>::iterator it = label_to_name_.begin();
+             it != label_to_name_.end(); ++it) {
+          if (it->first == background_label_id_) {
+            continue;
+          }
+          std::ofstream outfile;
+          boost::filesystem::path file(
+              output_name_prefix_ + it->second + ".txt");
+          boost::filesystem::path out_file = output_directory / file;
+          outfile.open(out_file.string().c_str(), std::ofstream::out);
+        }
+      }
+    }
+  }
+  CHECK_EQ(bottom[0]->num(), bottom[1]->num());
+  if (bbox_preds_.num() != bottom[0]->num() ||
+      bbox_preds_.count(1) != bottom[0]->count(1)) {
+    bbox_preds_.ReshapeLike(*(bottom[0]));
+  }
+  if (!share_location_ && (bbox_permute_.num() != bottom[0]->num() ||
+      bbox_permute_.count(1) != bottom[0]->count(1))) {
+    bbox_permute_.ReshapeLike(*(bottom[0]));
+  }
+  if (conf_permute_.num() != bottom[1]->num() ||
+      conf_permute_.count(1) != bottom[1]->count(1)) {
+    conf_permute_.ReshapeLike(*(bottom[1]));
+  }
+  num_priors_ = bottom[2]->height() / 4;
+  CHECK_EQ(num_priors_ * num_loc_classes_ * 4, bottom[0]->channels())
+      << "Number of priors must match number of location predictions.";
+  CHECK_EQ(num_priors_ * num_classes_, bottom[1]->channels())
+      << "Number of priors must match number of confidence predictions.";
+  // num() and channels() are 1.
+  vector<int> top_shape(2, 1);
+  // Since the number of bboxes to be kept is unknown before nms, we manually
+  // set it to (fake) 1.
+  top_shape.push_back(1);
+  // Each row is a 7 dimension vector, which stores
+  // [image_id, label, confidence, xmin, ymin, xmax, ymax]
+  top_shape.push_back(7);
+  top[0]->Reshape(top_shape);
+}
+
+template <typename Ftype, typename Btype>
+void DetectionOutputLayer<Ftype, Btype>::Forward_cpu(
+    const vector<Blob*>& bottom, const vector<Blob*>& top) {
+  const Ftype* loc_data = bottom[0]->cpu_data<Ftype>();
+  const Ftype* conf_data = bottom[1]->cpu_data<Ftype>();
+  const Ftype* prior_data = bottom[2]->cpu_data<Ftype>();
+  const int num = bottom[0]->num();
+
+  // Retrieve all location predictions.
+  vector<LabelBBox> all_loc_preds;
+  GetLocPredictions(loc_data, num, num_priors_, num_loc_classes_,
+                    share_location_, &all_loc_preds);
+
+  // Retrieve all confidences.
+  vector<map<int, vector<float> > > all_conf_scores;
+  GetConfidenceScores(conf_data, num, num_priors_, num_classes_,
+                      &all_conf_scores);
+
+  // Retrieve all prior bboxes. It is same within a batch since we assume all
+  // images in a batch are of same dimension.
+  vector<NormalizedBBox> prior_bboxes;
+  vector<vector<float> > prior_variances;
+  GetPriorBBoxes(prior_data, num_priors_, &prior_bboxes, &prior_variances);
+
+  // Decode all loc predictions to bboxes.
+  vector<LabelBBox> all_decode_bboxes;
+  const bool clip_bbox = false;
+  DecodeBBoxesAll(all_loc_preds, prior_bboxes, prior_variances, num,
+                  share_location_, num_loc_classes_, background_label_id_,
+                  code_type_, variance_encoded_in_target_, clip_bbox,
+                  &all_decode_bboxes);
+
+  int num_kept = 0;
+  vector<map<int, vector<int> > > all_indices;
+  for (int i = 0; i < num; ++i) {
+    const LabelBBox& decode_bboxes = all_decode_bboxes[i];
+    const map<int, vector<float> >& conf_scores = all_conf_scores[i];
+    map<int, vector<int> > indices;
+    int num_det = 0;
+    for (int c = 0; c < num_classes_; ++c) {
+      if (c == background_label_id_) {
+        // Ignore background class.
+        continue;
+      }
+      if (conf_scores.find(c) == conf_scores.end()) {
+        // Something bad happened if there are no predictions for current label.
+        LOG(FATAL) << "Could not find confidence predictions for label " << c;
+      }
+      const vector<float>& scores = conf_scores.find(c)->second;
+      int label = share_location_ ? -1 : c;
+      if (decode_bboxes.find(label) == decode_bboxes.end()) {
+        // Something bad happened if there are no predictions for current label.
+        LOG(FATAL) << "Could not find location predictions for label " << label;
+        continue;
+      }
+      const vector<NormalizedBBox>& bboxes = decode_bboxes.find(label)->second;
+      ApplyNMSFast(bboxes, scores, confidence_threshold_, nms_threshold_, eta_,
+          top_k_, &(indices[c]));
+      num_det += indices[c].size();
+    }
+    if (keep_top_k_ > -1 && num_det > keep_top_k_) {
+      vector<pair<float, pair<int, int> > > score_index_pairs;
+      for (map<int, vector<int> >::iterator it = indices.begin();
+           it != indices.end(); ++it) {
+        int label = it->first;
+        const vector<int>& label_indices = it->second;
+        if (conf_scores.find(label) == conf_scores.end()) {
+          // Something bad happened for current label.
+          LOG(FATAL) << "Could not find location predictions for " << label;
+          continue;
+        }
+        const vector<float>& scores = conf_scores.find(label)->second;
+        for (int j = 0; j < label_indices.size(); ++j) {
+          int idx = label_indices[j];
+          CHECK_LT(idx, scores.size());
+          score_index_pairs.push_back(std::make_pair(
+                  scores[idx], std::make_pair(label, idx)));
+        }
+      }
+      // Keep top k results per image.
+      std::sort(score_index_pairs.begin(), score_index_pairs.end(),
+                SortScorePairDescend<pair<int, int> >);
+      score_index_pairs.resize(keep_top_k_);
+      // Store the new indices.
+      map<int, vector<int> > new_indices;
+      for (int j = 0; j < score_index_pairs.size(); ++j) {
+        int label = score_index_pairs[j].second.first;
+        int idx = score_index_pairs[j].second.second;
+        new_indices[label].push_back(idx);
+      }
+      all_indices.push_back(new_indices);
+      num_kept += keep_top_k_;
+    } else {
+      all_indices.push_back(indices);
+      num_kept += num_det;
+    }
+  }
+
+  vector<int> top_shape(2, 1);
+  top_shape.push_back(num_kept);
+  top_shape.push_back(7);
+  Ftype* top_data;
+  if (num_kept == 0) {
+    LOG(INFO) << "Couldn't find any detections";
+    top_shape[2] = num;
+    top[0]->Reshape(top_shape);
+    top_data = top[0]->mutable_cpu_data<Ftype>();
+    caffe_set(top[0]->count(), static_cast<Ftype>(-1), top_data);
+    // Generate fake results per image.
+    for (int i = 0; i < num; ++i) {
+      top_data[0] = i;
+      top_data += 7;
+    }
+  } else {
+    top[0]->Reshape(top_shape);
+    top_data = top[0]->mutable_cpu_data<Ftype>();
+  }
+
+  int count = 0;
+  boost::filesystem::path output_directory(output_directory_);
+  for (int i = 0; i < num; ++i) {
+    const map<int, vector<float> >& conf_scores = all_conf_scores[i];
+    const LabelBBox& decode_bboxes = all_decode_bboxes[i];
+    for (map<int, vector<int> >::iterator it = all_indices[i].begin();
+         it != all_indices[i].end(); ++it) {
+      int label = it->first;
+      if (conf_scores.find(label) == conf_scores.end()) {
+        // Something bad happened if there are no predictions for current label.
+        LOG(FATAL) << "Could not find confidence predictions for " << label;
+        continue;
+      }
+      const vector<float>& scores = conf_scores.find(label)->second;
+      int loc_label = share_location_ ? -1 : label;
+      if (decode_bboxes.find(loc_label) == decode_bboxes.end()) {
+        // Something bad happened if there are no predictions for current label.
+        LOG(FATAL) << "Could not find location predictions for " << loc_label;
+        continue;
+      }
+      const vector<NormalizedBBox>& bboxes =
+          decode_bboxes.find(loc_label)->second;
+      vector<int>& indices = it->second;
+      if (need_save_) {
+        CHECK(label_to_name_.find(label) != label_to_name_.end())
+          << "Cannot find label: " << label << " in the label map.";
+        CHECK_LT(name_count_, names_.size());
+      }
+      for (int j = 0; j < indices.size(); ++j) {
+        int idx = indices[j];
+        top_data[count * 7] = i;
+        top_data[count * 7 + 1] = label;
+        top_data[count * 7 + 2] = scores[idx];
+        const NormalizedBBox& bbox = bboxes[idx];
+        top_data[count * 7 + 3] = bbox.xmin();
+        top_data[count * 7 + 4] = bbox.ymin();
+        top_data[count * 7 + 5] = bbox.xmax();
+        top_data[count * 7 + 6] = bbox.ymax();
+        if (need_save_) {
+          NormalizedBBox out_bbox;
+          OutputBBox(bbox, sizes_[name_count_], has_resize_, resize_param_,
+                     &out_bbox);
+          float score = top_data[count * 7 + 2];
+          float xmin = out_bbox.xmin();
+          float ymin = out_bbox.ymin();
+          float xmax = out_bbox.xmax();
+          float ymax = out_bbox.ymax();
+          ptree pt_xmin, pt_ymin, pt_width, pt_height;
+          pt_xmin.put<float>("", round(xmin * 100) / 100.);
+          pt_ymin.put<float>("", round(ymin * 100) / 100.);
+          pt_width.put<float>("", round((xmax - xmin) * 100) / 100.);
+          pt_height.put<float>("", round((ymax - ymin) * 100) / 100.);
+
+          ptree cur_bbox;
+          cur_bbox.push_back(std::make_pair("", pt_xmin));
+          cur_bbox.push_back(std::make_pair("", pt_ymin));
+          cur_bbox.push_back(std::make_pair("", pt_width));
+          cur_bbox.push_back(std::make_pair("", pt_height));
+
+          ptree cur_det;
+          cur_det.put("image_id", names_[name_count_]);
+          if (output_format_ == "ILSVRC") {
+            cur_det.put<int>("category_id", label);
+          } else {
+            cur_det.put("category_id", label_to_name_[label].c_str());
+          }
+          cur_det.add_child("bbox", cur_bbox);
+          cur_det.put<float>("score", score);
+
+          detections_.push_back(std::make_pair("", cur_det));
+        }
+        ++count;
+      }
+    }
+    if (need_save_) {
+      ++name_count_;
+      if (name_count_ % num_test_image_ == 0) {
+        if (output_format_ == "VOC") {
+          map<string, std::ofstream*> outfiles;
+          for (int c = 0; c < num_classes_; ++c) {
+            if (c == background_label_id_) {
+              continue;
+            }
+            string label_name = label_to_name_[c];
+            boost::filesystem::path file(
+                output_name_prefix_ + label_name + ".txt");
+            boost::filesystem::path out_file = output_directory / file;
+            outfiles[label_name] = new std::ofstream(out_file.string().c_str(),
+                std::ofstream::out);
+          }
+          BOOST_FOREACH(ptree::value_type &det, detections_.get_child("")) {
+            ptree pt = det.second;
+            string label_name = pt.get<string>("category_id");
+            if (outfiles.find(label_name) == outfiles.end()) {
+              std::cout << "Cannot find " << label_name << std::endl;
+              continue;
+            }
+            string image_name = pt.get<string>("image_id");
+            float score = pt.get<float>("score");
+            vector<int> bbox;
+            BOOST_FOREACH(ptree::value_type &elem, pt.get_child("bbox")) {
+              bbox.push_back(static_cast<int>(elem.second.get_value<float>()));
+            }
+            *(outfiles[label_name]) << image_name;
+            *(outfiles[label_name]) << " " << score;
+            *(outfiles[label_name]) << " " << bbox[0] << " " << bbox[1];
+            *(outfiles[label_name]) << " " << bbox[0] + bbox[2];
+            *(outfiles[label_name]) << " " << bbox[1] + bbox[3];
+            *(outfiles[label_name]) << std::endl;
+          }
+          for (int c = 0; c < num_classes_; ++c) {
+            if (c == background_label_id_) {
+              continue;
+            }
+            string label_name = label_to_name_[c];
+            outfiles[label_name]->flush();
+            outfiles[label_name]->close();
+            delete outfiles[label_name];
+          }
+        } else if (output_format_ == "COCO") {
+          boost::filesystem::path output_directory(output_directory_);
+          boost::filesystem::path file(output_name_prefix_ + ".json");
+          boost::filesystem::path out_file = output_directory / file;
+          std::ofstream outfile;
+          outfile.open(out_file.string().c_str(), std::ofstream::out);
+
+          boost::regex exp("\"(null|true|false|-?[0-9]+(\\.[0-9]+)?)\"");
+          ptree output;
+          output.add_child("detections", detections_);
+          std::stringstream ss;
+          write_json(ss, output);
+          std::string rv = boost::regex_replace(ss.str(), exp, "$1");
+          outfile << rv.substr(rv.find("["), rv.rfind("]") - rv.find("["))
+              << std::endl << "]" << std::endl;
+        } else if (output_format_ == "ILSVRC") {
+          boost::filesystem::path output_directory(output_directory_);
+          boost::filesystem::path file(output_name_prefix_ + ".txt");
+          boost::filesystem::path out_file = output_directory / file;
+          std::ofstream outfile;
+          outfile.open(out_file.string().c_str(), std::ofstream::out);
+
+          BOOST_FOREACH(ptree::value_type &det, detections_.get_child("")) {
+            ptree pt = det.second;
+            int label = pt.get<int>("category_id");
+            string image_name = pt.get<string>("image_id");
+            float score = pt.get<float>("score");
+            vector<int> bbox;
+            BOOST_FOREACH(ptree::value_type &elem, pt.get_child("bbox")) {
+              bbox.push_back(static_cast<int>(elem.second.get_value<float>()));
+            }
+            outfile << image_name << " " << label << " " << score;
+            outfile << " " << bbox[0] << " " << bbox[1];
+            outfile << " " << bbox[0] + bbox[2];
+            outfile << " " << bbox[1] + bbox[3];
+            outfile << std::endl;
+          }
+        }
+        name_count_ = 0;
+        detections_.clear();
+      }
+    }
+  }
+  if (visualize_) {
+    vector<cv::Mat> cv_imgs;
+    this->data_transformer_->TransformInv(bottom[3], &cv_imgs);
+    vector<cv::Scalar> colors = GetColors(label_to_display_name_.size());
+    VisualizeBBox<Ftype>(cv_imgs, top[0], visualize_threshold_, colors,
+        label_to_display_name_, save_file_);
+  }
+}
+
+INSTANTIATE_CLASS_FB(DetectionOutputLayer);
+REGISTER_LAYER_CLASS(DetectionOutput);
+
+}  // namespace caffe
diff --git a/src/caffe/layers/detection_output_layer.cu b/src/caffe/layers/detection_output_layer.cu
new file mode 100644
index 00000000000..4f5024b111b
--- /dev/null
+++ b/src/caffe/layers/detection_output_layer.cu
@@ -0,0 +1,303 @@
+#include <opencv2/core/core.hpp>
+#include <opencv2/imgproc/imgproc.hpp>
+#include <algorithm>
+#include <fstream>  // NOLINT(readability/streams)
+#include <map>
+#include <string>
+#include <utility>
+#include <vector>
+
+#include "caffe/layers/detection_output_layer.hpp"
+
+#include <boost/filesystem.hpp>
+#include <boost/foreach.hpp>
+
+namespace caffe {
+
+template <typename Ftype, typename Btype>
+void DetectionOutputLayer<Ftype, Btype>::Forward_gpu(
+    const vector<Blob*>& bottom, const vector<Blob*>& top) {
+  const Ftype* loc_data = bottom[0]->gpu_data<Ftype>();
+  const Ftype* prior_data = bottom[2]->gpu_data<Ftype>();
+  const int num = bottom[0]->num();
+
+  // Decode predictions.
+  Ftype* bbox_data = bbox_preds_.mutable_gpu_data();
+  const int loc_count = bbox_preds_.count();
+  const bool clip_bbox = false;
+  DecodeBBoxesGPU<Ftype>(loc_count, loc_data, prior_data, code_type_,
+      variance_encoded_in_target_, num_priors_, share_location_,
+      num_loc_classes_, background_label_id_, clip_bbox, bbox_data);
+  // Retrieve all decoded location predictions.
+  const Ftype* bbox_cpu_data;
+  if (!share_location_) {
+    Ftype* bbox_permute_data = bbox_permute_.mutable_gpu_data();
+    PermuteDataGPU<Ftype>(loc_count, bbox_data, num_loc_classes_, num_priors_,
+        4, bbox_permute_data);
+    bbox_cpu_data = bbox_permute_.cpu_data();
+  } else {
+    bbox_cpu_data = bbox_preds_.cpu_data();
+  }
+
+  // Retrieve all confidences.
+  Ftype* conf_permute_data = conf_permute_.mutable_gpu_data();
+  PermuteDataGPU<Ftype>(bottom[1]->count(), bottom[1]->gpu_data<Ftype>(),
+      num_classes_, num_priors_, 1, conf_permute_data);
+  const Ftype* conf_cpu_data = conf_permute_.cpu_data();
+
+  int num_kept = 0;
+  vector<map<int, vector<int> > > all_indices;
+  for (int i = 0; i < num; ++i) {
+    map<int, vector<int> > indices;
+    int num_det = 0;
+    const int conf_idx = i * num_classes_ * num_priors_;
+    int bbox_idx;
+    if (share_location_) {
+      bbox_idx = i * num_priors_ * 4;
+    } else {
+      bbox_idx = conf_idx * 4;
+    }
+    for (int c = 0; c < num_classes_; ++c) {
+      if (c == background_label_id_) {
+        // Ignore background class.
+        continue;
+      }
+      const Ftype* cur_conf_data = conf_cpu_data + conf_idx + c * num_priors_;
+      const Ftype* cur_bbox_data = bbox_cpu_data + bbox_idx;
+      if (!share_location_) {
+        cur_bbox_data += c * num_priors_ * 4;
+      }
+      ApplyNMSFast(cur_bbox_data, cur_conf_data, num_priors_,
+          confidence_threshold_, nms_threshold_, eta_, top_k_, &(indices[c]));
+      num_det += indices[c].size();
+    }
+    if (keep_top_k_ > -1 && num_det > keep_top_k_) {
+      vector<pair<float, pair<int, int> > > score_index_pairs;
+      for (map<int, vector<int> >::iterator it = indices.begin();
+           it != indices.end(); ++it) {
+        int label = it->first;
+        const vector<int>& label_indices = it->second;
+        for (int j = 0; j < label_indices.size(); ++j) {
+          int idx = label_indices[j];
+          float score = conf_cpu_data[conf_idx + label * num_priors_ + idx];
+          score_index_pairs.push_back(std::make_pair(
+                  score, std::make_pair(label, idx)));
+        }
+      }
+      // Keep top k results per image.
+//      std::sort(score_index_pairs.begin(), score_index_pairs.end(),
+//                SortScorePairDescend<pair<int, int> >);
+//      score_index_pairs.resize(keep_top_k_);
+      std::partial_sort(
+          score_index_pairs.begin(), score_index_pairs.begin() + keep_top_k_,
+          score_index_pairs.end(), SortScorePairDescend<pair<int, int>>);
+      // Store the new indices.
+      map<int, vector<int> > new_indices;
+      for (int j = 0; j < keep_top_k_; ++j) {
+        int label = score_index_pairs[j].second.first;
+        int idx = score_index_pairs[j].second.second;
+        new_indices[label].push_back(idx);
+      }
+      all_indices.push_back(new_indices);
+      num_kept += keep_top_k_;
+    } else {
+      all_indices.push_back(indices);
+      num_kept += num_det;
+    }
+  }
+
+  vector<int> top_shape(2, 1);
+  top_shape.push_back(num_kept);
+  top_shape.push_back(7);
+  Ftype* top_data;
+  if (num_kept == 0) {
+    LOG(INFO) << "Couldn't find any detections";
+    top_shape[2] = num;
+    top[0]->Reshape(top_shape);
+    top_data = top[0]->mutable_cpu_data<Ftype>();
+    caffe_set<Ftype>(top[0]->count(), -1, top_data);
+    // Generate fake results per image.
+    for (int i = 0; i < num; ++i) {
+      top_data[0] = i;
+      top_data += 7;
+    }
+  } else {
+    top[0]->Reshape(top_shape);
+    top_data = top[0]->mutable_cpu_data<Ftype>();
+  }
+
+  int count = 0;
+  boost::filesystem::path output_directory(output_directory_);
+  for (int i = 0; i < num; ++i) {
+    const int conf_idx = i * num_classes_ * num_priors_;
+    int bbox_idx;
+    if (share_location_) {
+      bbox_idx = i * num_priors_ * 4;
+    } else {
+      bbox_idx = conf_idx * 4;
+    }
+    for (map<int, vector<int> >::iterator it = all_indices[i].begin();
+         it != all_indices[i].end(); ++it) {
+      int label = it->first;
+      vector<int>& indices = it->second;
+      if (need_save_) {
+        CHECK(label_to_name_.find(label) != label_to_name_.end())
+          << "Cannot find label: " << label << " in the label map.";
+        CHECK_LT(name_count_, names_.size());
+      }
+      const Ftype* cur_conf_data =
+        conf_cpu_data + conf_idx + label * num_priors_;
+      const Ftype* cur_bbox_data = bbox_cpu_data + bbox_idx;
+      if (!share_location_) {
+        cur_bbox_data += label * num_priors_ * 4;
+      }
+      for (int j = 0; j < indices.size(); ++j) {
+        int idx = indices[j];
+        top_data[count * 7] = i;
+        top_data[count * 7 + 1] = label;
+        top_data[count * 7 + 2] = cur_conf_data[idx];
+        for (int k = 0; k < 4; ++k) {
+          top_data[count * 7 + 3 + k] = cur_bbox_data[idx * 4 + k];
+        }
+        if (need_save_) {
+          // Generate output bbox.
+          NormalizedBBox bbox;
+          bbox.set_xmin(top_data[count * 7 + 3]);
+          bbox.set_ymin(top_data[count * 7 + 4]);
+          bbox.set_xmax(top_data[count * 7 + 5]);
+          bbox.set_ymax(top_data[count * 7 + 6]);
+          NormalizedBBox out_bbox;
+          OutputBBox(bbox, sizes_[name_count_], has_resize_, resize_param_,
+                     &out_bbox);
+          float score = top_data[count * 7 + 2];
+          float xmin = out_bbox.xmin();
+          float ymin = out_bbox.ymin();
+          float xmax = out_bbox.xmax();
+          float ymax = out_bbox.ymax();
+          ptree pt_xmin, pt_ymin, pt_width, pt_height;
+          pt_xmin.put<float>("", round(xmin * 100) / 100.);
+          pt_ymin.put<float>("", round(ymin * 100) / 100.);
+          pt_width.put<float>("", round((xmax - xmin) * 100) / 100.);
+          pt_height.put<float>("", round((ymax - ymin) * 100) / 100.);
+
+          ptree cur_bbox;
+          cur_bbox.push_back(std::make_pair("", pt_xmin));
+          cur_bbox.push_back(std::make_pair("", pt_ymin));
+          cur_bbox.push_back(std::make_pair("", pt_width));
+          cur_bbox.push_back(std::make_pair("", pt_height));
+
+          ptree cur_det;
+          cur_det.put("image_id", names_[name_count_]);
+          if (output_format_ == "ILSVRC") {
+            cur_det.put<int>("category_id", label);
+          } else {
+            cur_det.put("category_id", label_to_name_[label].c_str());
+          }
+          cur_det.add_child("bbox", cur_bbox);
+          cur_det.put<float>("score", score);
+
+          detections_.push_back(std::make_pair("", cur_det));
+        }
+        ++count;
+      }
+    }
+    if (need_save_) {
+      ++name_count_;
+      if (name_count_ % num_test_image_ == 0) {
+        if (output_format_ == "VOC") {
+          map<string, std::ofstream*> outfiles;
+          for (int c = 0; c < num_classes_; ++c) {
+            if (c == background_label_id_) {
+              continue;
+            }
+            string label_name = label_to_name_[c];
+            boost::filesystem::path file(
+                output_name_prefix_ + label_name + ".txt");
+            boost::filesystem::path out_file = output_directory / file;
+            outfiles[label_name] = new std::ofstream(out_file.string().c_str(),
+                std::ofstream::out);
+          }
+          BOOST_FOREACH(ptree::value_type &det, detections_.get_child("")) {
+            ptree pt = det.second;
+            string label_name = pt.get<string>("category_id");
+            if (outfiles.find(label_name) == outfiles.end()) {
+              std::cout << "Cannot find " << label_name << std::endl;
+              continue;
+            }
+            string image_name = pt.get<string>("image_id");
+            float score = pt.get<float>("score");
+            vector<int> bbox;
+            BOOST_FOREACH(ptree::value_type &elem, pt.get_child("bbox")) {
+              bbox.push_back(static_cast<int>(elem.second.get_value<float>()));
+            }
+            *(outfiles[label_name]) << image_name;
+            *(outfiles[label_name]) << " " << score;
+            *(outfiles[label_name]) << " " << bbox[0] << " " << bbox[1];
+            *(outfiles[label_name]) << " " << bbox[0] + bbox[2];
+            *(outfiles[label_name]) << " " << bbox[1] + bbox[3];
+            *(outfiles[label_name]) << std::endl;
+          }
+          for (int c = 0; c < num_classes_; ++c) {
+            if (c == background_label_id_) {
+              continue;
+            }
+            string label_name = label_to_name_[c];
+            outfiles[label_name]->flush();
+            outfiles[label_name]->close();
+            delete outfiles[label_name];
+          }
+        } else if (output_format_ == "COCO") {
+          boost::filesystem::path output_directory(output_directory_);
+          boost::filesystem::path file(output_name_prefix_ + ".json");
+          boost::filesystem::path out_file = output_directory / file;
+          std::ofstream outfile;
+          outfile.open(out_file.string().c_str(), std::ofstream::out);
+
+          boost::regex exp("\"(null|true|false|-?[0-9]+(\\.[0-9]+)?)\"");
+          ptree output;
+          output.add_child("detections", detections_);
+          std::stringstream ss;
+          write_json(ss, output);
+          std::string rv = boost::regex_replace(ss.str(), exp, "$1");
+          outfile << rv.substr(rv.find("["), rv.rfind("]") - rv.find("["))
+              << std::endl << "]" << std::endl;
+        } else if (output_format_ == "ILSVRC") {
+          boost::filesystem::path output_directory(output_directory_);
+          boost::filesystem::path file(output_name_prefix_ + ".txt");
+          boost::filesystem::path out_file = output_directory / file;
+          std::ofstream outfile;
+          outfile.open(out_file.string().c_str(), std::ofstream::out);
+
+          BOOST_FOREACH(ptree::value_type &det, detections_.get_child("")) {
+            ptree pt = det.second;
+            int label = pt.get<int>("category_id");
+            string image_name = pt.get<string>("image_id");
+            float score = pt.get<float>("score");
+            vector<int> bbox;
+            BOOST_FOREACH(ptree::value_type &elem, pt.get_child("bbox")) {
+              bbox.push_back(static_cast<int>(elem.second.get_value<float>()));
+            }
+            outfile << image_name << " " << label << " " << score;
+            outfile << " " << bbox[0] << " " << bbox[1];
+            outfile << " " << bbox[0] + bbox[2];
+            outfile << " " << bbox[1] + bbox[3];
+            outfile << std::endl;
+          }
+        }
+        name_count_ = 0;
+        detections_.clear();
+      }
+    }
+  }
+  if (visualize_) {
+    vector<cv::Mat> cv_imgs;
+    this->data_transformer_->TransformInv(bottom[3], &cv_imgs);
+    vector<cv::Scalar> colors = GetColors(label_to_display_name_.size());
+    VisualizeBBox<Ftype>(cv_imgs, top[0], visualize_threshold_, colors,
+        label_to_display_name_, save_file_);
+  }
+}
+
+INSTANTIATE_LAYER_GPU_FUNCS_FB(DetectionOutputLayer);
+
+}  // namespace caffe
diff --git a/src/caffe/layers/dropout_layer.cu b/src/caffe/layers/dropout_layer.cu
index 5d46514af9c..d3703afea3d 100644
--- a/src/caffe/layers/dropout_layer.cu
+++ b/src/caffe/layers/dropout_layer.cu
@@ -11,11 +11,7 @@ __global__ void
 DropoutForward(const int n, const Dtype* in, const unsigned int* mask, const unsigned int threshold,
     const float scale, Dtype* out) {
   CUDA_KERNEL_LOOP(index, n) {
-    //    out[index] = in[index] * (mask[index] > threshold) * scale;
-    if (mask[index] > threshold)
-      out[index] = Dtype(static_cast<float>(in[index]) * scale);
-    else
-      out[index] = 0.;
+      out[index] = in[index] * (mask[index] > threshold ? Dtype(1) : Dtype(0)) * scale;
   }
 }
 
@@ -36,7 +32,7 @@ DropoutLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom, const vecto
     CUDA_POST_KERNEL_CHECK;
     CUDA_CHECK(cudaStreamSynchronize(stream));
   } else {
-    caffe_copy<Ftype>(count, bottom_data, top_data);
+    caffe_copy(count, bottom_data, top_data);
   }
 }
 
@@ -44,24 +40,19 @@ template<typename Dtype>
 __global__ void DropoutBackward(const int n, const Dtype* in_diff, const unsigned int* mask,
     const unsigned int threshold, const float scale, Dtype* out_diff) {
   CUDA_KERNEL_LOOP(index, n) {
-    //    out_diff[index] = in_diff[index] * (mask[index] > threshold) * scale;
-    if (mask[index] > threshold)
-      out_diff[index] = Dtype(static_cast<float>(in_diff[index]) * scale);
-    else
-      out_diff[index] = 0.;
+    out_diff[index] = in_diff[index] * (mask[index] > threshold ? Dtype(1) : Dtype(0)) * scale;
   }
 }
 
 template<typename Ftype, typename Btype>
 void DropoutLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
     const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
-  const Btype* top_diff = top[0]->gpu_diff<Btype>();
-  Btype* bottom_diff = bottom[0]->mutable_gpu_diff<Btype>();
-
   if (propagate_down[0]) {
+    const Btype* top_diff = top[0]->gpu_diff<Btype>();
+    Btype* bottom_diff = bottom[0]->mutable_gpu_diff<Btype>();
     if (this->phase_ == TRAIN) {  // Needed for TEST
       cudaStream_t stream = Caffe::thread_stream();
-      const unsigned int* mask = static_cast<const unsigned int*>(rand_vec_.gpu_data());
+      const unsigned int* mask = rand_vec_.gpu_data();
       const int count = bottom[0]->count();
       // NOLINT_NEXT_LINE(whitespace/operators)
       DropoutBackward<<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS, 0, stream>>>
diff --git a/src/caffe/layers/embed_layer.cu b/src/caffe/layers/embed_layer.cu
index 8fa153ff855..bf721244931 100644
--- a/src/caffe/layers/embed_layer.cu
+++ b/src/caffe/layers/embed_layer.cu
@@ -9,26 +9,19 @@ namespace caffe {
 
 template <typename Dtype>
 __global__ void EmbedForward(const int nthreads, const Dtype* bottom_data,
-    const Dtype* weight, const int M, const int N, const int K,
-    Dtype* top_data) {
+    const Dtype* weight, const int N, Dtype* top_data) {
   CUDA_KERNEL_LOOP(top_index, nthreads) {
     const int n = top_index / N;
     const int d = top_index % N;
-    const int index = static_cast<int>(static_cast<double>(bottom_data[n]));
-    const int weight_index = index * N + d;
+    const int index = static_cast<int>(bottom_data[n]);
+    const int weight_index = abs(index * N + d);
     top_data[top_index] = weight[weight_index];
   }
 }
 
 template <typename Dtype>
 __global__ void EmbedBackward(const int nthreads, const Dtype* bottom_data,
-    const Dtype* top_diff, const int M, const int N, const int K,
-    Dtype* weight_diff);
-
-template <typename Dtype>
-__global__ void EmbedBackward(const int nthreads, const Dtype* bottom_data,
-    const Dtype* top_diff, const int M, const int N, const int K,
-    Dtype* weight_diff) {
+    const Dtype* top_diff, const int N, Dtype* weight_diff) {
   CUDA_KERNEL_LOOP(top_index, nthreads) {
     const int n = top_index / N;
     const int d = top_index % N;
@@ -45,15 +38,16 @@ void EmbedLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
   Ftype* top_data = top[0]->mutable_gpu_data<Ftype>();
   const Ftype* weight = this->blobs_[0]->template gpu_data<Ftype>();
   const int count = top[0]->count();
+  cudaStream_t stream = Caffe::thread_stream();
   EmbedForward  // NOLINT_NEXT_LINE(whitespace/operators)
-      <<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS, 0, Caffe::thread_stream()>>>(
-      count, bottom_data, weight, M_, N_, K_, top_data);
+      <<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
+      count, bottom_data, weight, N_, top_data);
+  CUDA_CHECK(cudaStreamSynchronize(stream));
   if (bias_term_) {
     caffe_gpu_gemm(CblasNoTrans, CblasNoTrans, M_, N_, 1, Ftype(1),
         bias_multiplier_.template gpu_data<Ftype>(),
         this->blobs_[1]->template gpu_data<Ftype>(), Ftype(1), top_data);
   }
-  CUDA_CHECK(cudaStreamSynchronize(Caffe::thread_stream()));
 }
 
 template <typename Ftype, typename Btype>
@@ -65,10 +59,11 @@ void EmbedLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
     const Btype* top_diff = top[0]->gpu_diff<Btype>();
     const Btype* bottom_data = bottom[0]->gpu_data<Btype>();
     Btype* weight_diff = this->blobs_[0]->template mutable_gpu_diff<Btype>();
+    cudaStream_t stream = Caffe::thread_stream();
     EmbedBackward  // NOLINT_NEXT_LINE(whitespace/operators)
-        <<<CAFFE_GET_BLOCKS(top_count), CAFFE_CUDA_NUM_THREADS, 0, Caffe::thread_stream()>>>(
-        top_count, bottom_data, top_diff, M_, N_, K_, weight_diff);
-    CUDA_CHECK(cudaStreamSynchronize(Caffe::thread_stream()));
+        <<<CAFFE_GET_BLOCKS(top_count), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
+        top_count, bottom_data, top_diff, N_, weight_diff);
+    CUDA_CHECK(cudaStreamSynchronize(stream));
   }
   if (bias_term_ && this->param_propagate_down_[1]) {
     const Btype* top_diff = top[0]->gpu_diff<Btype>();
diff --git a/src/caffe/layers/hdf5_data_layer.cpp b/src/caffe/layers/hdf5_data_layer.cpp
index 6f778e9cb07..0c3bfc1fb6e 100644
--- a/src/caffe/layers/hdf5_data_layer.cpp
+++ b/src/caffe/layers/hdf5_data_layer.cpp
@@ -62,10 +62,10 @@ void HDF5DataLayer<Ftype, Btype>::LoadHDF5FileData(const char* filename) {
   // Shuffle if needed.
   if (this->layer_param_.hdf5_data_param().shuffle()) {
     caffe::shuffle(data_permutation_.begin(), data_permutation_.end());
-    DLOG(INFO) << "Successully loaded " << hdf_blobs_[0]->shape(0)
+    LOG(INFO) << "Successully loaded " << hdf_blobs_[0]->shape(0)
                << " rows (shuffled)";
   } else {
-    DLOG(INFO) << "Successully loaded " << hdf_blobs_[0]->shape(0) << " rows";
+    LOG(INFO) << "Successully loaded " << hdf_blobs_[0]->shape(0) << " rows";
   }
 }
 
diff --git a/src/caffe/layers/image_data_layer.cpp b/src/caffe/layers/image_data_layer.cpp
index 0ec9c3988e1..9f4d8caf046 100644
--- a/src/caffe/layers/image_data_layer.cpp
+++ b/src/caffe/layers/image_data_layer.cpp
@@ -206,7 +206,7 @@ void ImageDataLayer<Ftype, Btype>::load_batch(Batch* batch, int thread_id, size_
     if (cv_img.data) {
       int offset = batch->data_->offset(item_id);
 #if defined(USE_CUDNN)
-      this->dt(thread_id)->Transform(cv_img, prefetch_data + offset, buf_len, false);
+      this->bdt(thread_id)->Transform(cv_img, prefetch_data + offset, buf_len, false);
 #else
       CHECK_EQ(buf_len, tmp.size());
       this->dt(thread_id)->Transform(cv_img, prefetch_data + offset, buf_len, false);
@@ -242,16 +242,23 @@ void ImageDataLayer<Ftype, Btype>::load_batch(Batch* batch, int thread_id, size_
     // go to the next iter
     line_ids_[thread_id] += line_bucket;
     if (line_ids_[thread_id] >= lines_size) {
-      // We have reached the end. Restart from the first.
-      DLOG(INFO) << this->print_current_device() << " Restarting data prefetching from start.";
       while (line_ids_[thread_id] >= lines_size) {
         line_ids_[thread_id] -= lines_size;
       }
-      if (thread_id == 0 && this->rank_ == 0 && shuffle) {
-        LOG(INFO) << "Shuffling data";
-        ShuffleImages();
-        epoch_count_ += lines_size;
-        Caffe::report_epoch_count(epoch_count_);
+      if (thread_id == 0 && this->rank_ == 0) {
+        if (this->phase_ == TRAIN) {
+          // We have reached the end. Restart from the first.
+          LOG(INFO) << this->print_current_device() << " Restarting data prefetching ("
+                    << lines_size << ")";
+          if (epoch_count_ == 0UL) {
+            epoch_count_ += lines_size;
+            Caffe::report_epoch_count(epoch_count_);
+          }
+        }
+        if (shuffle) {
+          LOG(INFO) << "Shuffling data";
+          ShuffleImages();
+        }
       }
     }
     line_id = line_ids_[thread_id];
diff --git a/src/caffe/layers/inner_product_layer.cpp b/src/caffe/layers/inner_product_layer.cpp
index 56bf2a0574d..7fa4d7c4e65 100644
--- a/src/caffe/layers/inner_product_layer.cpp
+++ b/src/caffe/layers/inner_product_layer.cpp
@@ -37,7 +37,7 @@ InnerProductLayer<Ftype, Btype>::LayerSetUp(const vector<Blob*>& bottom, const v
       weight_shape[1] = K_;
     }
     // CPU filler always 32 bits
-    this->blobs_[0] = Blob::create<Ftype, Btype>(weight_shape);
+    this->blobs_[0] = Blob::create<Ftype>(weight_shape);
     shared_ptr<Filler<Ftype>> weight_filler(
         GetFiller<Ftype>(this->layer_param_.inner_product_param().weight_filler()));
 
diff --git a/src/caffe/layers/loss_layer.cpp b/src/caffe/layers/loss_layer.cpp
index 848e101a35a..54fb58306cb 100644
--- a/src/caffe/layers/loss_layer.cpp
+++ b/src/caffe/layers/loss_layer.cpp
@@ -22,6 +22,37 @@ void LossLayer<Ftype, Btype>::Reshape(
   top[0]->Reshape(loss_shape);
 }
 
+template <typename Ftype, typename Btype>
+Ftype LossLayer<Ftype, Btype>::GetNormalizer(
+    const LossParameter_NormalizationMode normalization_mode,
+    const int outer_num, const int inner_num, const int valid_count) {
+  Dtype normalizer;
+  switch (normalization_mode) {
+    case LossParameter_NormalizationMode_FULL:
+      normalizer = Dtype(outer_num * inner_num);
+      break;
+    case LossParameter_NormalizationMode_VALID:
+      if (valid_count == -1) {
+        normalizer = Dtype(outer_num * inner_num);
+      } else {
+        normalizer = Dtype(valid_count);
+      }
+      break;
+    case LossParameter_NormalizationMode_BATCH_SIZE:
+      normalizer = Dtype(outer_num);
+      break;
+    case LossParameter_NormalizationMode_NONE:
+      normalizer = Dtype(1);
+      break;
+    default:
+      LOG(FATAL) << "Unknown normalization mode: "
+          << LossParameter_NormalizationMode_Name(normalization_mode);
+  }
+  // Some users will have no labels for some examples in order to 'turn off' a
+  // particular loss in a multi-task setup. The max prevents NaNs in that case.
+  return std::max(Dtype(1.0), normalizer);
+}
+
 INSTANTIATE_CLASS_FB(LossLayer);
 
 }  // namespace caffe
diff --git a/src/caffe/layers/lstm_layer.cpp b/src/caffe/layers/lstm_layer.cpp
new file mode 100644
index 00000000000..81eb6f32cac
--- /dev/null
+++ b/src/caffe/layers/lstm_layer.cpp
@@ -0,0 +1,244 @@
+#include <string>
+#include <vector>
+
+#include "caffe/common.hpp"
+#include "caffe/blob.hpp"
+#include "caffe/filler.hpp"
+#include "caffe/layer.hpp"
+#include "caffe/layers/lstm_layer.hpp"
+#include "caffe/util/math_functions.hpp"
+
+namespace caffe {
+
+template<typename Ftype, typename Btype>
+void LSTMLayer<Ftype, Btype>::RecurrentInputBlobNames(vector<string>* names) const {
+  names->resize(2);
+  (*names)[0] = "h_0";
+  (*names)[1] = "c_0";
+}
+
+template<typename Ftype, typename Btype>
+void LSTMLayer<Ftype, Btype>::RecurrentOutputBlobNames(vector<string>* names) const {
+  names->resize(2);
+  (*names)[0] = "h_" + format_int(this->T_);
+  (*names)[1] = "c_T";
+}
+
+template<typename Ftype, typename Btype>
+void LSTMLayer<Ftype, Btype>::RecurrentInputShapes(vector<BlobShape>* shapes) const {
+  const int num_output = this->layer_param_.recurrent_param().num_output();
+  const int num_blobs = 2;
+  shapes->resize(num_blobs);
+  for (int i = 0; i < num_blobs; ++i) {
+    (*shapes)[i].Clear();
+    (*shapes)[i].add_dim(1);  // a single timestep
+    (*shapes)[i].add_dim(this->N_);
+    (*shapes)[i].add_dim(num_output);
+  }
+}
+
+template<typename Ftype, typename Btype>
+void LSTMLayer<Ftype, Btype>::OutputBlobNames(vector<string>* names) const {
+  names->resize(1);
+  (*names)[0] = "h";
+}
+
+template<typename Ftype, typename Btype>
+void LSTMLayer<Ftype, Btype>::FillUnrolledNet(NetParameter* net_param) const {
+  const int num_output = this->layer_param_.recurrent_param().num_output();
+  CHECK_GT(num_output, 0) << "num_output must be positive";
+  const FillerParameter& weight_filler =
+      this->layer_param_.recurrent_param().weight_filler();
+  const FillerParameter& bias_filler =
+      this->layer_param_.recurrent_param().bias_filler();
+
+  // Add generic LayerParameter's (without bottoms/tops) of layer types we'll
+  // use to save redundant code.
+  LayerParameter hidden_param;
+  hidden_param.set_type("InnerProduct");
+  hidden_param.mutable_inner_product_param()->set_num_output(num_output * 4);
+  hidden_param.mutable_inner_product_param()->set_bias_term(false);
+  hidden_param.mutable_inner_product_param()->set_axis(2);
+  hidden_param.mutable_inner_product_param()->
+      mutable_weight_filler()->CopyFrom(weight_filler);
+
+  LayerParameter biased_hidden_param(hidden_param);
+  biased_hidden_param.mutable_inner_product_param()->set_bias_term(true);
+  biased_hidden_param.mutable_inner_product_param()->
+      mutable_bias_filler()->CopyFrom(bias_filler);
+
+  LayerParameter sum_param;
+  sum_param.set_type("Eltwise");
+  sum_param.mutable_eltwise_param()->set_operation(
+      EltwiseParameter_EltwiseOp_SUM);
+
+  LayerParameter scale_param;
+  scale_param.set_type("Scale");
+  scale_param.mutable_scale_param()->set_axis(0);
+
+  LayerParameter slice_param;
+  slice_param.set_type("Slice");
+  slice_param.mutable_slice_param()->set_axis(0);
+
+  LayerParameter split_param;
+  split_param.set_type("Split");
+
+  vector<BlobShape> input_shapes;
+  RecurrentInputShapes(&input_shapes);
+  CHECK_EQ(2, input_shapes.size());
+
+  LayerParameter* input_layer_param = net_param->add_layer();
+  input_layer_param->set_type("Input");
+  InputParameter* input_param = input_layer_param->mutable_input_param();
+
+  input_layer_param->add_top("c_0");
+  input_param->add_shape()->CopyFrom(input_shapes[0]);
+
+  input_layer_param->add_top("h_0");
+  input_param->add_shape()->CopyFrom(input_shapes[1]);
+
+  LayerParameter* cont_slice_param = net_param->add_layer();
+  cont_slice_param->CopyFrom(slice_param);
+  cont_slice_param->set_name("cont_slice");
+  cont_slice_param->add_bottom("cont");
+  cont_slice_param->mutable_slice_param()->set_axis(0);
+
+  // Add layer to transform all timesteps of x to the hidden state dimension.
+  //     W_xc_x = W_xc * x + b_c
+  {
+    LayerParameter* x_transform_param = net_param->add_layer();
+    x_transform_param->CopyFrom(biased_hidden_param);
+    x_transform_param->set_name("x_transform");
+    x_transform_param->add_param()->set_name("W_xc");
+    x_transform_param->add_param()->set_name("b_c");
+    x_transform_param->add_bottom("x");
+    x_transform_param->add_top("W_xc_x");
+    x_transform_param->add_propagate_down(true);
+  }
+
+  if (this->static_input_) {
+    // Add layer to transform x_static to the gate dimension.
+    //     W_xc_x_static = W_xc_static * x_static
+    LayerParameter* x_static_transform_param = net_param->add_layer();
+    x_static_transform_param->CopyFrom(hidden_param);
+    x_static_transform_param->mutable_inner_product_param()->set_axis(1);
+    x_static_transform_param->set_name("W_xc_x_static");
+    x_static_transform_param->add_param()->set_name("W_xc_static");
+    x_static_transform_param->add_bottom("x_static");
+    x_static_transform_param->add_top("W_xc_x_static_preshape");
+    x_static_transform_param->add_propagate_down(true);
+
+    LayerParameter* reshape_param = net_param->add_layer();
+    reshape_param->set_type("Reshape");
+    BlobShape* new_shape =
+         reshape_param->mutable_reshape_param()->mutable_shape();
+    new_shape->add_dim(1);  // One timestep.
+    // Should infer this->N as the dimension so we can reshape on batch size.
+    new_shape->add_dim(-1);
+    new_shape->add_dim(
+        x_static_transform_param->inner_product_param().num_output());
+    reshape_param->set_name("W_xc_x_static_reshape");
+    reshape_param->add_bottom("W_xc_x_static_preshape");
+    reshape_param->add_top("W_xc_x_static");
+  }
+
+  LayerParameter* x_slice_param = net_param->add_layer();
+  x_slice_param->CopyFrom(slice_param);
+  x_slice_param->add_bottom("W_xc_x");
+  x_slice_param->set_name("W_xc_x_slice");
+
+  LayerParameter output_concat_layer;
+  output_concat_layer.set_name("h_concat");
+  output_concat_layer.set_type("Concat");
+  output_concat_layer.add_top("h");
+  output_concat_layer.mutable_concat_param()->set_axis(0);
+
+  for (int t = 1; t <= this->T_; ++t) {
+    string tm1s = format_int(t - 1);
+    string ts = format_int(t);
+
+    cont_slice_param->add_top("cont_" + ts);
+    x_slice_param->add_top("W_xc_x_" + ts);
+
+    // Add layers to flush the hidden state when beginning a new
+    // sequence, as indicated by cont_t.
+    //     h_conted_{t-1} := cont_t * h_{t-1}
+    //
+    // Normally, cont_t is binary (i.e., 0 or 1), so:
+    //     h_conted_{t-1} := h_{t-1} if cont_t == 1
+    //                       0   otherwise
+    {
+      LayerParameter* cont_h_param = net_param->add_layer();
+      cont_h_param->CopyFrom(scale_param);
+      cont_h_param->set_name("h_conted_" + tm1s);
+      cont_h_param->add_bottom("h_" + tm1s);
+      cont_h_param->add_bottom("cont_" + ts);
+      cont_h_param->add_top("h_conted_" + tm1s);
+    }
+
+    // Add layer to compute
+    //     W_hc_h_{t-1} := W_hc * h_conted_{t-1}
+    {
+      LayerParameter* w_param = net_param->add_layer();
+      w_param->CopyFrom(hidden_param);
+      w_param->set_name("transform_" + ts);
+      w_param->add_param()->set_name("W_hc");
+      w_param->add_bottom("h_conted_" + tm1s);
+      w_param->add_top("W_hc_h_" + tm1s);
+      w_param->mutable_inner_product_param()->set_axis(2);
+    }
+
+    // Add the outputs of the linear transformations to compute the gate input.
+    //     gate_input_t := W_hc * h_conted_{t-1} + W_xc * x_t + b_c
+    //                   = W_hc_h_{t-1} + W_xc_x_t + b_c
+    {
+      LayerParameter* input_sum_layer = net_param->add_layer();
+      input_sum_layer->CopyFrom(sum_param);
+      input_sum_layer->set_name("gate_input_" + ts);
+      input_sum_layer->add_bottom("W_hc_h_" + tm1s);
+      input_sum_layer->add_bottom("W_xc_x_" + ts);
+      if (this->static_input_) {
+        input_sum_layer->add_bottom("W_xc_x_static");
+      }
+      input_sum_layer->add_top("gate_input_" + ts);
+    }
+
+    // Add LSTMUnit layer to compute the cell & hidden vectors c_t and h_t.
+    // Inputs: c_{t-1}, gate_input_t = (i_t, f_t, o_t, g_t), cont_t
+    // Outputs: c_t, h_t
+    //     [ i_t' ]
+    //     [ f_t' ] := gate_input_t
+    //     [ o_t' ]
+    //     [ g_t' ]
+    //         i_t := \sigmoid[i_t']
+    //         f_t := \sigmoid[f_t']
+    //         o_t := \sigmoid[o_t']
+    //         g_t := \tanh[g_t']
+    //         c_t := cont_t * (f_t .* c_{t-1}) + (i_t .* g_t)
+    //         h_t := o_t .* \tanh[c_t]
+    {
+      LayerParameter* lstm_unit_param = net_param->add_layer();
+      lstm_unit_param->set_type("LSTMUnit");
+      lstm_unit_param->add_bottom("c_" + tm1s);
+      lstm_unit_param->add_bottom("gate_input_" + ts);
+      lstm_unit_param->add_bottom("cont_" + ts);
+      lstm_unit_param->add_top("c_" + ts);
+      lstm_unit_param->add_top("h_" + ts);
+      lstm_unit_param->set_name("unit_" + ts);
+    }
+    output_concat_layer.add_bottom("h_" + ts);
+  }  // for (int t = 1; t <= this->T_; ++t)
+
+  {
+    LayerParameter* c_T_copy_param = net_param->add_layer();
+    c_T_copy_param->CopyFrom(split_param);
+    c_T_copy_param->add_bottom("c_" + format_int(this->T_));
+    c_T_copy_param->add_top("c_T");
+  }
+  net_param->add_layer()->CopyFrom(output_concat_layer);
+}
+
+INSTANTIATE_CLASS_FB(LSTMLayer);
+REGISTER_LAYER_CLASS(LSTM);
+
+}  // namespace caffe
diff --git a/src/caffe/layers/lstm_unit_layer.cpp b/src/caffe/layers/lstm_unit_layer.cpp
new file mode 100644
index 00000000000..4f093f83801
--- /dev/null
+++ b/src/caffe/layers/lstm_unit_layer.cpp
@@ -0,0 +1,126 @@
+#include <algorithm>
+#include <cmath>
+#include <vector>
+
+#include "caffe/layer.hpp"
+#include "caffe/layers/lstm_layer.hpp"
+
+namespace caffe {
+
+template <typename Dtype>
+inline Dtype sigmoid(Dtype x) {
+  return 1. / (1. + exp(-x));
+}
+
+template <typename Dtype>
+inline Dtype tanh(Dtype x) {
+  return 2. * sigmoid(2. * x) - 1.;
+}
+
+template<typename Ftype, typename Btype>
+void LSTMUnitLayer<Ftype, Btype>::Reshape(const vector<Blob*>& bottom,
+    const vector<Blob*>& top) {
+  const int num_instances = bottom[0]->shape(1);
+  for (int i = 0; i < bottom.size(); ++i) {
+    if (i == 2) {
+      CHECK_EQ(2, bottom[i]->num_axes());
+    } else {
+      CHECK_EQ(3, bottom[i]->num_axes());
+    }
+    CHECK_EQ(1, bottom[i]->shape(0));
+    CHECK_EQ(num_instances, bottom[i]->shape(1));
+  }
+  hidden_dim_ = bottom[0]->shape(2);
+  CHECK_EQ(4 * hidden_dim_, bottom[1]->shape(2));
+  top[0]->ReshapeLike(*bottom[0]);
+  top[1]->ReshapeLike(*bottom[0]);
+  X_acts_->ReshapeLike(*bottom[1]);
+}
+
+template<typename Ftype, typename Btype>
+void LSTMUnitLayer<Ftype, Btype>::Forward_cpu(const vector<Blob*>& bottom,
+    const vector<Blob*>& top) {
+  const int num = bottom[0]->shape(1);
+  const int x_dim = hidden_dim_ * 4;
+  const Ftype* C_prev = bottom[0]->cpu_data<Ftype>();
+  const Ftype* X = bottom[1]->cpu_data<Ftype>();
+  const Ftype* cont = bottom[2]->cpu_data<Ftype>();
+  Ftype* C = top[0]->mutable_cpu_data<Ftype>();
+  Ftype* H = top[1]->mutable_cpu_data<Ftype>();
+  for (int n = 0; n < num; ++n) {
+    for (int d = 0; d < hidden_dim_; ++d) {
+      const Ftype i = sigmoid(X[d]);
+      const Ftype f = (*cont == 0) ? 0 :
+          (*cont * sigmoid(X[1 * hidden_dim_ + d]));
+      const Ftype o = sigmoid(X[2 * hidden_dim_ + d]);
+      const Ftype g = tanh(X[3 * hidden_dim_ + d]);
+      const Ftype c_prev = C_prev[d];
+      const Ftype c = f * c_prev + i * g;
+      C[d] = c;
+      const Ftype tanh_c = tanh(c);
+      H[d] = o * tanh_c;
+    }
+    C_prev += hidden_dim_;
+    X += x_dim;
+    C += hidden_dim_;
+    H += hidden_dim_;
+    ++cont;
+  }
+}
+
+template<typename Ftype, typename Btype>
+void LSTMUnitLayer<Ftype, Btype>::Backward_cpu(const vector<Blob*>& top,
+    const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
+  CHECK(!propagate_down[2]) << "Cannot backpropagate to sequence indicators.";
+  if (!propagate_down[0] && !propagate_down[1]) { return; }
+
+  const int num = bottom[0]->shape(1);
+  const int x_dim = hidden_dim_ * 4;
+  const Btype* C_prev = bottom[0]->cpu_data<Btype>();
+  const Btype* X = bottom[1]->cpu_data<Btype>();
+  const Btype* cont = bottom[2]->cpu_data<Btype>();
+  const Btype* C = top[0]->cpu_data<Btype>();
+  const Btype* H = top[1]->cpu_data<Btype>();
+  const Btype* C_diff = top[0]->cpu_diff<Btype>();
+  const Btype* H_diff = top[1]->cpu_diff<Btype>();
+  Btype* C_prev_diff = bottom[0]->mutable_cpu_diff<Btype>();
+  Btype* X_diff = bottom[1]->mutable_cpu_diff<Btype>();
+  for (int n = 0; n < num; ++n) {
+    for (int d = 0; d < hidden_dim_; ++d) {
+      const Btype i = sigmoid(X[d]);
+      const Btype f = (*cont == 0) ? 0 :
+          (*cont * sigmoid(X[1 * hidden_dim_ + d]));
+      const Btype o = sigmoid(X[2 * hidden_dim_ + d]);
+      const Btype g = tanh(X[3 * hidden_dim_ + d]);
+      const Btype c_prev = C_prev[d];
+      const Btype c = C[d];
+      const Btype tanh_c = tanh(c);
+      Btype* c_prev_diff = C_prev_diff + d;
+      Btype* i_diff = X_diff + d;
+      Btype* f_diff = X_diff + 1 * hidden_dim_ + d;
+      Btype* o_diff = X_diff + 2 * hidden_dim_ + d;
+      Btype* g_diff = X_diff + 3 * hidden_dim_ + d;
+      const Btype c_term_diff =
+          C_diff[d] + H_diff[d] * o * (1 - tanh_c * tanh_c);
+      *c_prev_diff = c_term_diff * f;
+      *i_diff = c_term_diff * g * i * (1 - i);
+      *f_diff = c_term_diff * c_prev * f * (1 - f);
+      *o_diff = H_diff[d] * tanh_c * o * (1 - o);
+      *g_diff = c_term_diff * i * (1 - g * g);
+    }
+    C_prev += hidden_dim_;
+    X += x_dim;
+    C += hidden_dim_;
+    H += hidden_dim_;
+    C_diff += hidden_dim_;
+    H_diff += hidden_dim_;
+    X_diff += x_dim;
+    C_prev_diff += hidden_dim_;
+    ++cont;
+  }
+}
+
+INSTANTIATE_CLASS_FB(LSTMUnitLayer);
+REGISTER_LAYER_CLASS(LSTMUnit);
+
+}  // namespace caffe
diff --git a/src/caffe/layers/lstm_unit_layer.cu b/src/caffe/layers/lstm_unit_layer.cu
new file mode 100644
index 00000000000..d8ee81d0ef3
--- /dev/null
+++ b/src/caffe/layers/lstm_unit_layer.cu
@@ -0,0 +1,162 @@
+#include <algorithm>
+#include <cmath>
+#include <vector>
+#include <device_launch_parameters.h>
+
+#include "caffe/layer.hpp"
+#include "caffe/layers/lstm_layer.hpp"
+
+namespace caffe {
+
+template <typename Dtype>
+__device__ Dtype sigmoid(const Dtype x) {
+  return Dtype(1) / (Dtype(1) + exp(-x));
+}
+
+template <typename Dtype>
+__device__ Dtype tanh(const Dtype x) {
+  return Dtype(2) * sigmoid(Dtype(2) * x) - Dtype(1);
+}
+
+template <typename Dtype>
+__global__ void LSTMActsForward(const int nthreads, const int dim,
+                                const Dtype* X, Dtype* X_acts) {
+  CUDA_KERNEL_LOOP(index, nthreads) {
+    const int x_dim = 4 * dim;
+    const int d = index % x_dim;
+    if (d < 3 * dim) {
+      X_acts[index] = sigmoid(X[index]);
+    } else {
+      X_acts[index] = tanh(X[index]);
+    }
+  }
+}
+
+template <typename Dtype>
+__global__ void LSTMUnitForward(const int nthreads, const int dim,
+    const Dtype* C_prev, const Dtype* X, const Dtype* cont,
+    Dtype* C, Dtype* H) {
+  CUDA_KERNEL_LOOP(index, nthreads) {
+    const int n = index / dim;
+    const int d = index % dim;
+    const Dtype* X_offset = X + 4 * dim * n;
+    const Dtype i = X_offset[d];
+    const Dtype f = X_offset[1 * dim + d];
+    const Dtype o = X_offset[2 * dim + d];
+    const Dtype g = X_offset[3 * dim + d];
+    const Dtype c_prev = C_prev[index];
+    const Dtype c = cont[n] * f * c_prev + i * g;
+    C[index] = c;
+    const Dtype tanh_c = tanh(c);
+    H[index] = o * tanh_c;
+  }
+}
+
+template<typename Ftype, typename Btype>
+void LSTMUnitLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
+                                              const vector<Blob*>& top) {
+  const int count = top[1]->count();
+  const Ftype* C_prev = bottom[0]->gpu_data<Ftype>();
+  const Ftype* X = bottom[1]->gpu_data<Ftype>();
+  const Ftype* cont = bottom[2]->gpu_data<Ftype>();
+  Ftype* X_acts = X_acts_->mutable_gpu_data<Ftype>();
+  Ftype* C = top[0]->mutable_gpu_data<Ftype>();
+  Ftype* H = top[1]->mutable_gpu_data<Ftype>();
+  const int X_count = bottom[1]->count();
+  cudaStream_t stream = Caffe::thread_stream();
+  // NOLINT_NEXT_LINE(whitespace/operators)
+  LSTMActsForward<<<CAFFE_GET_BLOCKS(X_count), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
+      X_count, hidden_dim_, X, X_acts);
+  CUDA_POST_KERNEL_CHECK;
+  CUDA_CHECK(cudaStreamSynchronize(stream));
+  // NOLINT_NEXT_LINE(whitespace/operators)
+  LSTMUnitForward<<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
+      count, hidden_dim_, C_prev, X_acts, cont, C, H);
+  CUDA_POST_KERNEL_CHECK;
+  CUDA_CHECK(cudaStreamSynchronize(stream));
+}
+
+template <typename Dtype>
+__global__ void LSTMUnitBackward(const int nthreads, const int dim,
+    const Dtype* C_prev, const Dtype* X, const Dtype* C, const Dtype* H,
+    const Dtype* cont, const Dtype* C_diff, const Dtype* H_diff,
+    Dtype* C_prev_diff, Dtype* X_diff) {
+  CUDA_KERNEL_LOOP(index, nthreads) {
+    const int n = index / dim;
+    const int d = index % dim;
+    const Dtype* X_offset = X + 4 * dim * n;
+    const Dtype i = X_offset[d];
+    const Dtype f = X_offset[1 * dim + d];
+    const Dtype o = X_offset[2 * dim + d];
+    const Dtype g = X_offset[3 * dim + d];
+    const Dtype c_prev = C_prev[index];
+    const Dtype c = C[index];
+    const Dtype tanh_c = tanh(c);
+    Dtype* c_prev_diff = C_prev_diff + index;
+    Dtype* X_diff_offset = X_diff + 4 * dim * n;
+    Dtype* i_diff = X_diff_offset + d;
+    Dtype* f_diff = X_diff_offset + 1 * dim + d;
+    Dtype* o_diff = X_diff_offset + 2 * dim + d;
+    Dtype* g_diff = X_diff_offset + 3 * dim + d;
+    const Dtype c_term_diff =
+        C_diff[index] + H_diff[index] * o * (1 - tanh_c * tanh_c);
+    const Dtype cont_n = cont[n];
+    *c_prev_diff = cont_n * c_term_diff * f;
+    *i_diff = c_term_diff * g;
+    *f_diff = cont_n * c_term_diff * c_prev;
+    *o_diff = H_diff[index] * tanh_c;
+    *g_diff = c_term_diff * i;
+  }
+}
+
+template <typename Dtype>
+__global__ void LSTMActsBackward(const int nthreads, const int dim,
+    const Dtype* X_acts, const Dtype* X_acts_diff, Dtype* X_diff) {
+  CUDA_KERNEL_LOOP(index, nthreads) {
+    const int x_dim = 4 * dim;
+    const int d = index % x_dim;
+    const Dtype X_act = X_acts[index];
+    if (d < 3 * dim) {
+      X_diff[index] = X_acts_diff[index] * X_act * (Dtype(1) - X_act);
+    } else {
+      X_diff[index] = X_acts_diff[index] * (Dtype(1) - X_act * X_act);
+    }
+  }
+}
+
+template<typename Ftype, typename Btype>
+void LSTMUnitLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
+    const vector<bool>& propagate_down,
+    const vector<Blob*>& bottom) {
+  CHECK(!propagate_down[2]) << "Cannot backpropagate to sequence indicators.";
+  if (!propagate_down[0] && !propagate_down[1]) { return; }
+
+  const int count = top[1]->count();
+  const Btype* C_prev = bottom[0]->gpu_data<Btype>();
+  const Btype* X_acts = X_acts_->gpu_data<Btype>();
+  const Btype* cont = bottom[2]->gpu_data<Btype>();
+  const Btype* C = top[0]->gpu_data<Btype>();
+  const Btype* H = top[1]->gpu_data<Btype>();
+  const Btype* C_diff = top[0]->gpu_diff<Btype>();
+  const Btype* H_diff = top[1]->gpu_diff<Btype>();
+  Btype* C_prev_diff = bottom[0]->mutable_gpu_diff<Btype>();
+  Btype* X_acts_diff = X_acts_->mutable_gpu_diff<Btype>();
+
+  cudaStream_t stream = Caffe::thread_stream();
+  LSTMUnitBackward  // NOLINT_NEXT_LINE(whitespace/operators)
+      <<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(count, hidden_dim_,
+      C_prev, X_acts, C, H, cont, C_diff, H_diff, C_prev_diff, X_acts_diff);
+  CUDA_POST_KERNEL_CHECK;
+  CUDA_CHECK(cudaStreamSynchronize(stream));
+  const int X_count = bottom[1]->count();
+  Btype* X_diff = bottom[1]->mutable_gpu_diff<Btype>();
+  LSTMActsBackward  // NOLINT_NEXT_LINE(whitespace/operators)
+      <<<CAFFE_GET_BLOCKS(X_count), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
+      X_count, hidden_dim_, X_acts, X_acts_diff, X_diff);
+  CUDA_POST_KERNEL_CHECK;
+  CUDA_CHECK(cudaStreamSynchronize(stream));
+}
+
+INSTANTIATE_LAYER_GPU_FUNCS_FB(LSTMUnitLayer);
+
+}  // namespace caffe
diff --git a/src/caffe/layers/multibox_loss_layer.cpp b/src/caffe/layers/multibox_loss_layer.cpp
new file mode 100644
index 00000000000..62a9b799f59
--- /dev/null
+++ b/src/caffe/layers/multibox_loss_layer.cpp
@@ -0,0 +1,375 @@
+#include <algorithm>
+#include <map>
+#include <utility>
+#include <vector>
+
+#include "caffe/layers/multibox_loss_layer.hpp"
+#include "caffe/util/math_functions.hpp"
+
+namespace caffe {
+
+template <typename Ftype, typename Btype>
+void MultiBoxLossLayer<Ftype, Btype>::LayerSetUp(const vector<Blob*>& bottom,
+      const vector<Blob*>& top) {
+  LossLayer<Ftype, Btype>::LayerSetUp(bottom, top);
+  if (this->layer_param_.propagate_down_size() == 0) {
+    this->layer_param_.add_propagate_down(true);
+    this->layer_param_.add_propagate_down(true);
+    this->layer_param_.add_propagate_down(false);
+    this->layer_param_.add_propagate_down(false);
+  }
+  const MultiBoxLossParameter& multibox_loss_param =
+      this->layer_param_.multibox_loss_param();
+  multibox_loss_param_ = this->layer_param_.multibox_loss_param();
+
+  num_ = bottom[0]->num();
+  num_priors_ = bottom[2]->height() / 4;
+  // Get other parameters.
+  CHECK(multibox_loss_param.has_num_classes()) << "Must provide num_classes.";
+  num_classes_ = multibox_loss_param.num_classes();
+  CHECK_GE(num_classes_, 1) << "num_classes should not be less than 1.";
+  share_location_ = multibox_loss_param.share_location();
+  loc_classes_ = share_location_ ? 1 : num_classes_;
+  background_label_id_ = multibox_loss_param.background_label_id();
+  use_difficult_gt_ = multibox_loss_param.use_difficult_gt();
+  mining_type_ = multibox_loss_param.mining_type();
+  if (multibox_loss_param.has_do_neg_mining()) {
+    LOG(WARNING) << "do_neg_mining is deprecated, use mining_type instead.";
+    do_neg_mining_ = multibox_loss_param.do_neg_mining();
+    CHECK_EQ(do_neg_mining_,
+             mining_type_ != MultiBoxLossParameter_MiningType_NONE);
+  }
+  do_neg_mining_ = mining_type_ != MultiBoxLossParameter_MiningType_NONE;
+
+  if (!this->layer_param_.loss_param().has_normalization() &&
+      this->layer_param_.loss_param().has_normalize()) {
+    normalization_ = this->layer_param_.loss_param().normalize() ?
+                     LossParameter_NormalizationMode_VALID :
+                     LossParameter_NormalizationMode_BATCH_SIZE;
+  } else {
+    normalization_ = this->layer_param_.loss_param().normalization();
+  }
+
+  if (do_neg_mining_) {
+    CHECK(share_location_)
+        << "Currently only support negative mining if share_location is true.";
+  }
+
+  vector<int> loss_shape(1, 1);
+  // Set up localization loss layer.
+  loc_weight_ = multibox_loss_param.loc_weight();
+  loc_loss_type_ = multibox_loss_param.loc_loss_type();
+  // fake shape.
+  vector<int> loc_shape(1, 1);
+  loc_shape.push_back(4);
+  loc_pred_.Reshape(loc_shape);
+  loc_gt_.Reshape(loc_shape);
+  loc_bottom_vec_.push_back(&loc_pred_);
+  loc_bottom_vec_.push_back(&loc_gt_);
+  loc_loss_.Reshape(loss_shape);
+  loc_top_vec_.push_back(&loc_loss_);
+  if (loc_loss_type_ == MultiBoxLossParameter_LocLossType_L2) {
+    LayerParameter layer_param;
+    layer_param.set_name(this->layer_param_.name() + "_l2_loc");
+    layer_param.set_type("EuclideanLoss");
+    layer_param.add_loss_weight(loc_weight_);
+    loc_loss_layer_ = LayerRegistry::CreateLayer(layer_param, this->parent_rank());
+    loc_loss_layer_->SetUp(loc_bottom_vec_, loc_top_vec_);
+  } else if (loc_loss_type_ == MultiBoxLossParameter_LocLossType_SMOOTH_L1) {
+    LayerParameter layer_param;
+    layer_param.set_name(this->layer_param_.name() + "_smooth_L1_loc");
+    layer_param.set_type("SmoothL1Loss");
+    layer_param.add_loss_weight(loc_weight_);
+    loc_loss_layer_ = LayerRegistry::CreateLayer(layer_param, this->parent_rank());
+    loc_loss_layer_->SetUp(loc_bottom_vec_, loc_top_vec_);
+  } else {
+    LOG(FATAL) << "Unknown localization loss type.";
+  }
+  // Set up confidence loss layer.
+  conf_loss_type_ = multibox_loss_param.conf_loss_type();
+  conf_bottom_vec_.push_back(&conf_pred_);
+  conf_bottom_vec_.push_back(&conf_gt_);
+  conf_loss_.Reshape(loss_shape);
+  conf_top_vec_.push_back(&conf_loss_);
+  if (conf_loss_type_ == MultiBoxLossParameter_ConfLossType_SOFTMAX) {
+    CHECK_GE(background_label_id_, 0)
+        << "background_label_id should be within [0, num_classes) for Softmax.";
+    CHECK_LT(background_label_id_, num_classes_)
+        << "background_label_id should be within [0, num_classes) for Softmax.";
+    LayerParameter layer_param;
+    layer_param.set_name(this->layer_param_.name() + "_softmax_conf");
+    layer_param.set_type("SoftmaxWithLoss");
+    layer_param.add_loss_weight(Dtype(1.));
+    layer_param.mutable_loss_param()->set_normalization(
+        LossParameter_NormalizationMode_NONE);
+    SoftmaxParameter* softmax_param = layer_param.mutable_softmax_param();
+    softmax_param->set_axis(1);
+    // Fake reshape.
+    vector<int> conf_shape(1, 1);
+    conf_gt_.Reshape(conf_shape);
+    conf_shape.push_back(num_classes_);
+    conf_pred_.Reshape(conf_shape);
+    conf_loss_layer_ = LayerRegistry::CreateLayer(layer_param, this->parent_rank());
+    conf_loss_layer_->SetUp(conf_bottom_vec_, conf_top_vec_);
+  } else if (conf_loss_type_ == MultiBoxLossParameter_ConfLossType_LOGISTIC) {
+    LayerParameter layer_param;
+    layer_param.set_name(this->layer_param_.name() + "_logistic_conf");
+    layer_param.set_type("SigmoidCrossEntropyLoss");
+    layer_param.add_loss_weight(Dtype(1.));
+    // Fake reshape.
+    vector<int> conf_shape(1, 1);
+    conf_shape.push_back(num_classes_);
+    conf_gt_.Reshape(conf_shape);
+    conf_pred_.Reshape(conf_shape);
+    conf_loss_layer_ = LayerRegistry::CreateLayer(layer_param, this->parent_rank());
+    conf_loss_layer_->SetUp(conf_bottom_vec_, conf_top_vec_);
+  } else {
+    LOG(FATAL) << "Unknown confidence loss type.";
+  }
+}
+
+template <typename Ftype, typename Btype>
+void MultiBoxLossLayer<Ftype, Btype>::Reshape(const vector<Blob*>& bottom,
+      const vector<Blob*>& top) {
+  LossLayer<Ftype, Btype>::Reshape(bottom, top);
+  num_ = bottom[0]->num();
+  num_priors_ = bottom[2]->height() / 4;
+  num_gt_ = bottom[3]->height();
+  CHECK_EQ(bottom[0]->num(), bottom[1]->num());
+  CHECK_EQ(num_priors_ * loc_classes_ * 4, bottom[0]->channels())
+      << "Number of priors must match number of location predictions.";
+  CHECK_EQ(num_priors_ * num_classes_, bottom[1]->channels())
+      << "Number of priors must match number of confidence predictions.";
+}
+
+template <typename Ftype, typename Btype>
+void MultiBoxLossLayer<Ftype, Btype>::Forward_cpu(const vector<Blob*>& bottom,
+    const vector<Blob*>& top) {
+  const Dtype* loc_data = bottom[0]->cpu_data<Dtype>();
+  const Dtype* conf_data = bottom[1]->cpu_data<Dtype>();
+  const Dtype* prior_data = bottom[2]->cpu_data<Dtype>();
+  const Dtype* gt_data = bottom[3]->cpu_data<Dtype>();
+
+  // Retrieve all ground truth.
+  map<int, vector<NormalizedBBox> > all_gt_bboxes;
+  GetGroundTruth(gt_data, num_gt_, background_label_id_, use_difficult_gt_,
+                 &all_gt_bboxes);
+
+  // Retrieve all prior bboxes. It is same within a batch since we assume all
+  // images in a batch are of same dimension.
+  vector<NormalizedBBox> prior_bboxes;
+  vector<vector<float> > prior_variances;
+  GetPriorBBoxes(prior_data, num_priors_, &prior_bboxes, &prior_variances);
+
+  // Retrieve all predictions.
+  vector<LabelBBox> all_loc_preds;
+  GetLocPredictions(loc_data, num_, num_priors_, loc_classes_, share_location_,
+                    &all_loc_preds);
+
+  // Find matches between source bboxes and ground truth bboxes.
+  vector<map<int, vector<float> > > all_match_overlaps;
+  FindMatches(all_loc_preds, all_gt_bboxes, prior_bboxes, prior_variances,
+              multibox_loss_param_, &all_match_overlaps, &all_match_indices_);
+
+  num_matches_ = 0;
+  int num_negs = 0;
+  // Sample hard negative (and positive) examples based on mining type.
+  MineHardExamples(*static_cast<TBlob<Dtype>*>(bottom[1]),
+      all_loc_preds, all_gt_bboxes, prior_bboxes,
+      prior_variances, all_match_overlaps, multibox_loss_param_,
+      &num_matches_, &num_negs, &all_match_indices_, &all_neg_indices_);
+
+  if (num_matches_ >= 1) {
+    // Form data to pass on to loc_loss_layer_.
+    vector<int> loc_shape(2);
+    loc_shape[0] = 1;
+    loc_shape[1] = num_matches_ * 4;
+    loc_pred_.Reshape(loc_shape);
+    loc_gt_.Reshape(loc_shape);
+    Dtype* loc_pred_data = loc_pred_.mutable_cpu_data();
+    Dtype* loc_gt_data = loc_gt_.mutable_cpu_data();
+    EncodeLocPrediction(all_loc_preds, all_gt_bboxes, all_match_indices_,
+                        prior_bboxes, prior_variances, multibox_loss_param_,
+                        loc_pred_data, loc_gt_data);
+    loc_loss_layer_->Reshape(loc_bottom_vec_, loc_top_vec_);
+    loc_loss_layer_->Forward(loc_bottom_vec_, loc_top_vec_);
+  } else {
+    loc_loss_.mutable_cpu_data()[0] = 0;
+  }
+
+  // Form data to pass on to conf_loss_layer_.
+  if (do_neg_mining_) {
+    num_conf_ = num_matches_ + num_negs;
+  } else {
+    num_conf_ = num_ * num_priors_;
+  }
+  if (num_conf_ >= 1) {
+    // Reshape the confidence data.
+    vector<int> conf_shape;
+    if (conf_loss_type_ == MultiBoxLossParameter_ConfLossType_SOFTMAX) {
+      conf_shape.push_back(num_conf_);
+      conf_gt_.Reshape(conf_shape);
+      conf_shape.push_back(num_classes_);
+      conf_pred_.Reshape(conf_shape);
+    } else if (conf_loss_type_ == MultiBoxLossParameter_ConfLossType_LOGISTIC) {
+      conf_shape.push_back(1);
+      conf_shape.push_back(num_conf_);
+      conf_shape.push_back(num_classes_);
+      conf_gt_.Reshape(conf_shape);
+      conf_pred_.Reshape(conf_shape);
+    } else {
+      LOG(FATAL) << "Unknown confidence loss type.";
+    }
+    if (!do_neg_mining_) {
+      // Consider all scores.
+      // Share data and diff with bottom[1].
+      CHECK_EQ(conf_pred_.count(), bottom[1]->count());
+      conf_pred_.ShareData(*(bottom[1]));
+    }
+    Dtype* conf_pred_data = conf_pred_.mutable_cpu_data();
+    Dtype* conf_gt_data = conf_gt_.mutable_cpu_data();
+    caffe_set(conf_gt_.count(), Dtype(background_label_id_), conf_gt_data);
+    EncodeConfPrediction(conf_data, num_, num_priors_, multibox_loss_param_,
+                         all_match_indices_, all_neg_indices_, all_gt_bboxes,
+                         conf_pred_data, conf_gt_data);
+    conf_loss_layer_->Reshape(conf_bottom_vec_, conf_top_vec_);
+    conf_loss_layer_->Forward(conf_bottom_vec_, conf_top_vec_);
+  } else {
+    conf_loss_.mutable_cpu_data()[0] = 0;
+  }
+
+  top[0]->mutable_cpu_data<Dtype>()[0] = 0;
+  if (this->layer_param_.propagate_down(0)) {
+    Dtype normalizer = LossLayer<Ftype, Btype>::GetNormalizer(
+        normalization_, num_, num_priors_, num_matches_);
+    top[0]->mutable_cpu_data<Dtype>()[0] +=
+        loc_weight_ * loc_loss_.cpu_data()[0] / normalizer;
+  }
+  if (this->layer_param_.propagate_down(1)) {
+    Dtype normalizer = LossLayer<Ftype, Btype>::GetNormalizer(
+        normalization_, num_, num_priors_, num_matches_);
+    top[0]->mutable_cpu_data<Dtype>()[0] += conf_loss_.cpu_data()[0] / normalizer;
+  }
+}
+
+template <typename Ftype, typename Btype>
+void MultiBoxLossLayer<Ftype, Btype>::Backward_cpu(const vector<Blob*>& top,
+    const vector<bool>& propagate_down,
+    const vector<Blob*>& bottom) {
+
+  if (propagate_down[2]) {
+    LOG(FATAL) << this->type()
+        << " Layer cannot backpropagate to prior inputs.";
+  }
+  if (propagate_down[3]) {
+    LOG(FATAL) << this->type()
+        << " Layer cannot backpropagate to label inputs.";
+  }
+
+  // Back propagate on location prediction.
+  if (propagate_down[0]) {
+    Dtype* loc_bottom_diff = bottom[0]->mutable_cpu_diff<Dtype>();
+    caffe_set(bottom[0]->count(), Dtype(0), loc_bottom_diff);
+    if (num_matches_ >= 1) {
+      vector<bool> loc_propagate_down;
+      // Only back propagate on prediction, not ground truth.
+      loc_propagate_down.push_back(true);
+      loc_propagate_down.push_back(false);
+      loc_loss_layer_->Backward(loc_top_vec_, loc_propagate_down,
+                                loc_bottom_vec_);
+      // Scale gradient.
+      Dtype normalizer = LossLayer<Ftype, Btype>::GetNormalizer(
+          normalization_, num_, num_priors_, num_matches_);
+      Dtype loss_weight = top[0]->cpu_diff<Dtype>()[0] / normalizer;
+      caffe_scal(loc_pred_.count(), loss_weight, loc_pred_.mutable_cpu_diff());
+      // Copy gradient back to bottom[0].
+      const Dtype* loc_pred_diff = loc_pred_.cpu_diff();
+      int count = 0;
+      for (int i = 0; i < num_; ++i) {
+        for (map<int, vector<int> >::iterator it =
+             all_match_indices_[i].begin();
+             it != all_match_indices_[i].end(); ++it) {
+          const int label = share_location_ ? 0 : it->first;
+          const vector<int>& match_index = it->second;
+          for (int j = 0; j < match_index.size(); ++j) {
+            if (match_index[j] <= -1) {
+              continue;
+            }
+            // Copy the diff to the right place.
+            int start_idx = loc_classes_ * 4 * j + label * 4;
+            caffe_copy(4, loc_pred_diff + count * 4,
+                              loc_bottom_diff + start_idx);
+            ++count;
+          }
+        }
+        loc_bottom_diff += bottom[0]->offset(1);
+      }
+    }
+  }
+
+  // Back propagate on confidence prediction.
+  if (propagate_down[1]) {
+    Dtype* conf_bottom_diff = bottom[1]->mutable_cpu_diff<Dtype>();
+    caffe_set(bottom[1]->count(), Dtype(0), conf_bottom_diff);
+    if (num_conf_ >= 1) {
+      vector<bool> conf_propagate_down;
+      // Only back propagate on prediction, not ground truth.
+      conf_propagate_down.push_back(true);
+      conf_propagate_down.push_back(false);
+      conf_loss_layer_->Backward(conf_top_vec_, conf_propagate_down,
+                                 conf_bottom_vec_);
+      // Scale gradient.
+      Dtype normalizer = LossLayer<Ftype, Btype>::GetNormalizer(
+          normalization_, num_, num_priors_, num_matches_);
+      Dtype loss_weight = top[0]->cpu_diff<Dtype>()[0] / normalizer;
+      caffe_scal(conf_pred_.count(), loss_weight,
+                 conf_pred_.mutable_cpu_diff());
+      // Copy gradient back to bottom[1].
+      const Dtype* conf_pred_diff = conf_pred_.cpu_diff();
+      if (do_neg_mining_) {
+        int count = 0;
+        for (int i = 0; i < num_; ++i) {
+          // Copy matched (positive) bboxes scores' diff.
+          const map<int, vector<int> >& match_indices = all_match_indices_[i];
+          for (map<int, vector<int> >::const_iterator it =
+               match_indices.begin(); it != match_indices.end(); ++it) {
+            const vector<int>& match_index = it->second;
+            CHECK_EQ(match_index.size(), num_priors_);
+            for (int j = 0; j < num_priors_; ++j) {
+              if (match_index[j] <= -1) {
+                continue;
+              }
+              // Copy the diff to the right place.
+              caffe_copy(num_classes_,
+                                conf_pred_diff + count * num_classes_,
+                                conf_bottom_diff + j * num_classes_);
+              ++count;
+            }
+          }
+          // Copy negative bboxes scores' diff.
+          for (int n = 0; n < all_neg_indices_[i].size(); ++n) {
+            int j = all_neg_indices_[i][n];
+            CHECK_LT(j, num_priors_);
+            caffe_copy(num_classes_,
+                              conf_pred_diff + count * num_classes_,
+                              conf_bottom_diff + j * num_classes_);
+            ++count;
+          }
+          conf_bottom_diff += bottom[1]->offset(1);
+        }
+      } else {
+        // The diff is already computed and stored.
+        bottom[1]->ShareDiff(conf_pred_);
+      }
+    }
+  }
+
+  // After backward, remove match statistics.
+  all_match_indices_.clear();
+  all_neg_indices_.clear();
+}
+
+INSTANTIATE_CLASS_FB(MultiBoxLossLayer);
+REGISTER_LAYER_CLASS(MultiBoxLoss);
+
+}  // namespace caffe
diff --git a/src/caffe/layers/normalize_layer.cpp b/src/caffe/layers/normalize_layer.cpp
new file mode 100644
index 00000000000..2168f28dea6
--- /dev/null
+++ b/src/caffe/layers/normalize_layer.cpp
@@ -0,0 +1,229 @@
+#include <vector>
+
+#include "caffe/filler.hpp"
+#include "caffe/layers/normalize_layer.hpp"
+
+namespace caffe {
+
+template <typename Ftype, typename Btype>
+void NormalizeLayer<Ftype, Btype>::LayerSetUp(const vector<Blob*>& bottom,
+      const vector<Blob*>& top) {
+  CHECK_GE(bottom[0]->num_axes(), 2)
+      << "Number of axes of bottom blob must be >=2.";
+  buffer_.Reshape(1, bottom[0]->channels(),
+                   bottom[0]->height(), bottom[0]->width());
+  buffer_channel_.Reshape(1, bottom[0]->channels(), 1, 1);
+  buffer_spatial_.Reshape(1, 1, bottom[0]->height(), bottom[0]->width());
+  NormalizeParameter norm_param = this->layer_param().norm_param();
+  across_spatial_ = norm_param.across_spatial();
+  if (across_spatial_) {
+    norm_.Reshape(bottom[0]->num(), 1, 1, 1);
+  } else {
+    norm_.Reshape(bottom[0]->num(), 1, bottom[0]->height(), bottom[0]->width());
+  }
+  eps_ = norm_param.eps();
+  int channels = bottom[0]->channels();
+  int spatial_dim = bottom[0]->width() * bottom[0]->height();
+  sum_channel_multiplier_.Reshape(1, channels, 1, 1);
+  caffe_set(channels, Dtype(1), sum_channel_multiplier_.mutable_cpu_data());
+  sum_spatial_multiplier_.Reshape(
+      1, 1, bottom[0]->height(), bottom[0]->width());
+  caffe_set(spatial_dim, Dtype(1), sum_spatial_multiplier_.mutable_cpu_data());
+  channel_shared_ = norm_param.channel_shared();
+  if (this->blobs_.size() > 0) {
+    LOG(INFO) << "Skipping parameter initialization";
+  } else {
+    this->blobs_.resize(1);
+    if (channel_shared_) {
+      this->blobs_[0] = Blob::create<Ftype, Btype>(vector<int>(0));
+    } else {
+      this->blobs_[0] = Blob::create<Ftype, Btype>(vector<int>(1, channels));
+    }
+    shared_ptr<Filler<Dtype> > scale_filler;
+    if (norm_param.has_scale_filler()) {
+      scale_filler.reset(GetFiller<Dtype>(norm_param.scale_filler()));
+    } else {
+      FillerParameter filler_param;
+      filler_param.set_type("constant");
+      filler_param.set_value(1.0);
+      scale_filler.reset(GetFiller<Dtype>(filler_param));
+    }
+    scale_filler->Fill(this->blobs_[0].get());
+  }
+  if (channel_shared_) {
+    CHECK_EQ(this->blobs_[0]->count(), 1)
+        << "Scale size is inconsistent with prototxt config";
+  } else {
+    CHECK_EQ(this->blobs_[0]->count(), channels)
+        << "Scale size is inconsistent with prototxt config";
+  }
+  this->param_propagate_down_.resize(this->blobs_.size(), true);
+}
+
+template <typename Ftype, typename Btype>
+void NormalizeLayer<Ftype, Btype>::Reshape(const vector<Blob*>& bottom,
+      const vector<Blob*>& top) {
+  CHECK_GE(bottom[0]->num_axes(), 2)
+      << "Number of axes of bottom blob must be >=2.";
+  top[0]->ReshapeLike(*bottom[0]);
+  buffer_.Reshape(1, bottom[0]->channels(),
+                   bottom[0]->height(), bottom[0]->width());
+  if (!across_spatial_) {
+    norm_.Reshape(bottom[0]->num(), 1, bottom[0]->height(), bottom[0]->width());
+  }
+  int spatial_dim = bottom[0]->height() * bottom[0]->width();
+  if (spatial_dim != sum_spatial_multiplier_.count()) {
+    sum_spatial_multiplier_.Reshape(
+        1, 1, bottom[0]->height(), bottom[0]->width());
+    caffe_set(spatial_dim, Dtype(1),
+              sum_spatial_multiplier_.mutable_cpu_data());
+    buffer_spatial_.Reshape(1, 1, bottom[0]->height(), bottom[0]->width());
+  }
+}
+
+template <typename Ftype, typename Btype>
+void NormalizeLayer<Ftype, Btype>::Forward_cpu(const vector<Blob*>& bottom,
+    const vector<Blob*>& top) {
+  const Dtype* bottom_data = bottom[0]->cpu_data<Dtype>();
+  Dtype* top_data = top[0]->mutable_cpu_data<Dtype>();
+  const Dtype* scale = this->blobs_[0]->template cpu_data<Dtype>();
+  Dtype* buffer_data = buffer_.mutable_cpu_data();
+  Dtype* norm_data = norm_.mutable_cpu_data();
+  // add eps to avoid overflow
+  caffe_set(norm_.count(), Dtype(eps_), norm_data);
+  const Dtype* sum_channel_multiplier = sum_channel_multiplier_.cpu_data();
+  const Dtype* sum_spatial_multiplier = sum_spatial_multiplier_.cpu_data();
+  int num = bottom[0]->num();
+  int dim = bottom[0]->count() / num;
+  int spatial_dim = bottom[0]->height() * bottom[0]->width();
+  int channels = bottom[0]->channels();
+  for (int n = 0; n < num; ++n) {
+    caffe_sqr<Dtype>(dim, bottom_data, buffer_data);
+    if (across_spatial_) {
+      // add eps to avoid overflow
+      norm_data[n] = pow(Dtype(caffe_cpu_asum(dim, buffer_data)+eps_),
+                         Dtype(0.5));
+      caffe_cpu_scale<Dtype>(dim, Dtype(1.0 / norm_data[n]), bottom_data,
+                             top_data);
+    } else {
+      caffe_cpu_gemv<Dtype>(CblasTrans, channels, spatial_dim, Dtype(1),
+                            buffer_data, sum_channel_multiplier, Dtype(1),
+                            norm_data);
+      // compute norm
+      caffe_powx(spatial_dim, norm_data, Dtype(0.5), norm_data);
+      // scale the layer
+      caffe_cpu_gemm(CblasNoTrans, CblasNoTrans, channels, spatial_dim,
+                            1, Dtype(1), sum_channel_multiplier, norm_data,
+                            Dtype(0), buffer_data);
+      caffe_div(dim, bottom_data, buffer_data, top_data);
+      norm_data += spatial_dim;
+    }
+    // scale the output
+    if (channel_shared_) {
+      caffe_scal(dim, scale[0], top_data);
+    } else {
+      caffe_cpu_gemm(CblasNoTrans, CblasNoTrans, channels, spatial_dim,
+                            1, Dtype(1), scale, sum_spatial_multiplier,
+                            Dtype(0),
+                            buffer_data);
+      caffe_mul<Dtype>(dim, top_data, buffer_data, top_data);
+    }
+    bottom_data += dim;
+    top_data += dim;
+  }
+}
+
+template <typename Ftype, typename Btype>
+void NormalizeLayer<Ftype, Btype>::Backward_cpu(const vector<Blob*>& top,
+    const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
+  const Dtype* top_diff = top[0]->cpu_diff<Dtype>();
+  const Dtype* top_data = top[0]->cpu_data<Dtype>();
+  const Dtype* bottom_data = bottom[0]->cpu_data<Dtype>();
+  Dtype* bottom_diff = bottom[0]->mutable_cpu_diff<Dtype>();
+  const Dtype* scale = this->blobs_[0]->template cpu_data<Dtype>();
+  const Dtype* norm_data = norm_.cpu_data();
+  Dtype* buffer_data = buffer_.mutable_cpu_data();
+  Dtype* buffer_channel = buffer_channel_.mutable_cpu_data();
+  Dtype* buffer_spatial = buffer_spatial_.mutable_cpu_data();
+  const Dtype* sum_channel_multiplier = sum_channel_multiplier_.cpu_data();
+  const Dtype* sum_spatial_multiplier = sum_spatial_multiplier_.cpu_data();
+  int count = top[0]->count();
+  int num = top[0]->num();
+  int dim = count / num;
+  int spatial_dim = top[0]->height() * top[0]->width();
+  int channels = top[0]->channels();
+
+  // Propagate to param
+  if (this->param_propagate_down_[0]) {
+    Dtype* scale_diff = this->blobs_[0]->template mutable_cpu_diff<Dtype>();
+    if (channel_shared_) {
+      scale_diff[0] +=
+          caffe_cpu_dot(count, top_data, top_diff) / scale[0];
+    } else {
+      for (int n = 0; n < num; ++n) {
+        caffe_mul(dim, top_data+n*dim, top_diff+n*dim, buffer_data);
+        caffe_cpu_gemv(CblasNoTrans, channels, spatial_dim, Dtype(1),
+                              buffer_data, sum_spatial_multiplier, Dtype(0),
+                              buffer_channel);
+        // store a / scale[i] in buffer_data temporary
+        caffe_div(channels, buffer_channel, scale, buffer_channel);
+        caffe_add(channels, buffer_channel, scale_diff, scale_diff);
+      }
+    }
+  }
+
+  // Propagate to bottom
+  if (propagate_down[0]) {
+    for (int n = 0; n < num; ++n) {
+      if (across_spatial_) {
+        Dtype a = caffe_cpu_dot(dim, bottom_data, top_diff);
+        caffe_cpu_scale(dim, Dtype(a / norm_data[n] / norm_data[n]),
+                               bottom_data, bottom_diff);
+        caffe_sub(dim, top_diff, bottom_diff, bottom_diff);
+        caffe_scal(dim, Dtype(1.0 / norm_data[n]), bottom_diff);
+      } else {
+        // dot product between bottom_data and top_diff
+        caffe_mul(dim, bottom_data, top_diff, buffer_data);
+        caffe_cpu_gemv(CblasTrans, channels, spatial_dim, Dtype(1),
+                              buffer_data, sum_channel_multiplier, Dtype(0),
+                              buffer_spatial);
+        // scale bottom_diff
+        caffe_cpu_gemm(CblasNoTrans, CblasNoTrans, channels, spatial_dim,
+                              1, Dtype(1), sum_channel_multiplier,
+                              buffer_spatial, Dtype(0), buffer_data);
+        caffe_mul(dim, bottom_data, buffer_data, bottom_diff);
+        // divide by square of norm
+        caffe_powx(spatial_dim, norm_data, Dtype(2), buffer_spatial);
+        caffe_cpu_gemm(CblasNoTrans, CblasNoTrans, channels, spatial_dim,
+                              1, Dtype(1), sum_channel_multiplier,
+                              buffer_spatial, Dtype(0), buffer_data);
+        caffe_div(dim, bottom_diff, buffer_data, bottom_diff);
+        // subtract
+        caffe_sub(dim, top_diff, bottom_diff, bottom_diff);
+        // divide by norm
+        caffe_cpu_gemm(CblasNoTrans, CblasNoTrans, channels, spatial_dim,
+                              1, Dtype(1), sum_channel_multiplier, norm_data,
+                              Dtype(0), buffer_data);
+        caffe_div(dim, bottom_diff, buffer_data, bottom_diff);
+        norm_data += spatial_dim;
+      }
+      // scale the diff
+      if (channel_shared_) {
+        caffe_scal(dim, scale[0], bottom_diff);
+      } else {
+        caffe_cpu_gemm(CblasNoTrans, CblasNoTrans, channels, spatial_dim,
+                              1, Dtype(1), scale, sum_spatial_multiplier,
+                              Dtype(0), buffer_data);
+        caffe_mul(dim, bottom_diff, buffer_data, bottom_diff);
+      }
+      bottom_data += dim;
+      top_diff += dim;
+      bottom_diff += dim;
+    }
+  }
+}
+
+INSTANTIATE_CLASS_FB(NormalizeLayer);
+REGISTER_LAYER_CLASS(Normalize);
+
+}  // namespace caffe
diff --git a/src/caffe/layers/normalize_layer.cu b/src/caffe/layers/normalize_layer.cu
new file mode 100644
index 00000000000..37a78a15336
--- /dev/null
+++ b/src/caffe/layers/normalize_layer.cu
@@ -0,0 +1,220 @@
+#include <algorithm>
+#include <cfloat>
+#include <vector>
+
+#include "thrust/device_vector.h"
+
+#include "caffe/filler.hpp"
+#include "caffe/layers/normalize_layer.hpp"
+#include "caffe/util/math_functions.hpp"
+
+namespace caffe {
+
+// divid a matrix with vector
+template <typename Dtype>
+__global__ void DivBsx(const int nthreads, const Dtype* A,
+    const Dtype* v, const int rows, const int cols, const CBLAS_TRANSPOSE trans,
+    Dtype* B) {
+  CUDA_KERNEL_LOOP(index, nthreads) {
+    int c = index % cols;
+    int r = (index / cols) % rows;
+    if (trans == CblasNoTrans) {
+      B[index] = A[index] / v[c];
+    } else {
+      B[index] = A[index] / v[r];
+    }
+  }
+}
+
+template <typename Dtype>
+__global__ void MulBsx(const int nthreads, const Dtype* A,
+    const Dtype* v, const int rows, const int cols, const CBLAS_TRANSPOSE trans,
+    Dtype* B) {
+  CUDA_KERNEL_LOOP(index, nthreads) {
+    int c = index % cols;
+    int r = (index / cols) % rows;
+    if (trans == CblasNoTrans) {
+      B[index] = A[index] * v[c];
+    } else {
+      B[index] = A[index] * v[r];
+    }
+  }
+}
+
+template <typename Ftype, typename Btype>
+void NormalizeLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
+    const vector<Blob*>& top) {
+  const Dtype* bottom_data = bottom[0]->gpu_data<Dtype>();
+  Dtype* top_data = top[0]->mutable_gpu_data<Dtype>();
+  Dtype* buffer_data = buffer_.mutable_gpu_data();
+  Dtype* norm_data;
+  if (across_spatial_) {
+    // need to index it
+    norm_data = norm_.mutable_cpu_data();
+  } else {
+    norm_data = norm_.mutable_gpu_data();
+    // add eps to avoid overflow
+    caffe_gpu_set<Dtype>(norm_.count(), Dtype(eps_), norm_data);
+  }
+  const Dtype* scale;
+  if (channel_shared_) {
+    scale = this->blobs_[0]->template cpu_data<Dtype>();
+  } else {
+    scale = this->blobs_[0]->template gpu_data<Dtype>();
+  }
+  const Dtype* sum_channel_multiplier = sum_channel_multiplier_.gpu_data();
+  int num = bottom[0]->num();
+  int dim = bottom[0]->count() / num;
+  int spatial_dim = bottom[0]->height() * bottom[0]->width();
+  int channels = bottom[0]->channels();
+  for (int n = 0; n < num; ++n) {
+    caffe_gpu_powx<Dtype>(dim, bottom_data, Dtype(2), buffer_data);
+    if (across_spatial_) {
+      Dtype normsqr;
+      caffe_gpu_asum<Dtype>(dim, buffer_data, &normsqr, 0);
+      // add eps to avoid overflow
+      norm_data[n] = pow(normsqr+eps_, Dtype(0.5));
+      caffe_gpu_scale<Dtype>(dim, Dtype(1.0 / norm_data[n]), bottom_data,
+                             top_data);
+    } else {
+      // compute norm
+      caffe_gpu_gemv<Dtype>(CblasTrans, channels, spatial_dim, Dtype(1),
+                            buffer_data, sum_channel_multiplier, Dtype(1),
+                            norm_data);
+      caffe_gpu_powx<Dtype>(spatial_dim, norm_data, Dtype(0.5), norm_data);
+      // scale the layer
+      // NOLINT_NEXT_LINE(whitespace/operators)
+      DivBsx<Dtype> <<<CAFFE_GET_BLOCKS(dim), CAFFE_CUDA_NUM_THREADS>>>(
+          dim, bottom_data, norm_data, channels, spatial_dim, CblasNoTrans,
+          top_data);
+      CUDA_POST_KERNEL_CHECK;
+      norm_data += spatial_dim;
+    }
+    // scale the output
+    if (channel_shared_) {
+      caffe_gpu_scal<Dtype>(dim, scale[0], top_data);
+    } else {
+      // NOLINT_NEXT_LINE(whitespace/operators)
+      MulBsx<Dtype> <<<CAFFE_GET_BLOCKS(dim), CAFFE_CUDA_NUM_THREADS>>>(
+          dim, top_data, scale, channels, spatial_dim, CblasTrans,
+          top_data);
+      CUDA_POST_KERNEL_CHECK;
+    }
+    bottom_data += dim;
+    top_data += dim;
+  }
+}
+
+template <typename Ftype, typename Btype>
+void NormalizeLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
+    const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
+  const Dtype* top_diff = top[0]->gpu_diff<Dtype>();
+  const Dtype* top_data = top[0]->gpu_data<Dtype>();
+  const Dtype* bottom_data = bottom[0]->mutable_gpu_data<Dtype>();
+  Dtype* bottom_diff = bottom[0]->mutable_gpu_diff<Dtype>();
+  const Dtype* norm_data;
+  if (across_spatial_) {
+    // need to index it
+    norm_data = norm_.cpu_data();
+  } else {
+    norm_data = norm_.gpu_data();
+  }
+  const Dtype* scale;
+  if (channel_shared_) {
+    scale = this->blobs_[0]->template cpu_data<Dtype>();
+  } else {
+    scale = this->blobs_[0]->template gpu_data<Dtype>();
+  }
+  Dtype* buffer_data = buffer_.mutable_gpu_data();
+  Dtype* buffer_channel = buffer_channel_.mutable_gpu_data();
+  Dtype* buffer_spatial = buffer_spatial_.mutable_gpu_data();
+  const Dtype* sum_channel_multiplier = sum_channel_multiplier_.gpu_data();
+  const Dtype* sum_spatial_multiplier = sum_spatial_multiplier_.gpu_data();
+  int count = top[0]->count();
+  int num = top[0]->num();
+  int dim = count / num;
+  int spatial_dim = top[0]->height() * top[0]->width();
+  int channels = top[0]->channels();
+
+  // Propagate to param
+  if (this->param_propagate_down_[0]) {
+    if (channel_shared_) {
+      Dtype* scale_diff = this->blobs_[0]->template mutable_cpu_diff<Dtype>();
+      Dtype a;
+      caffe_gpu_dot<Dtype>(count, top_data, top_diff, &a);
+      scale_diff[0] += a / scale[0];
+    } else {
+      Dtype* scale_diff = this->blobs_[0]->template mutable_gpu_diff<Dtype>();
+      for (int n = 0; n < num; ++n) {
+        // compute a
+        caffe_gpu_mul<Dtype>(dim, top_data+n*dim, top_diff+n*dim, buffer_data);
+        caffe_gpu_gemv<Dtype>(CblasNoTrans, channels, spatial_dim, Dtype(1),
+                              buffer_data, sum_spatial_multiplier, Dtype(0),
+                              buffer_channel);
+        // store a / scale[i] in buffer_data temporary
+        caffe_gpu_div<Dtype>(channels, buffer_channel, scale, buffer_channel);
+        caffe_gpu_add<Dtype>(channels, buffer_channel, scale_diff, scale_diff);
+      }
+    }
+  }
+
+  // Propagate to bottom
+  if (propagate_down[0]) {
+    for (int n = 0; n < num; ++n) {
+      if (across_spatial_) {
+        Dtype a;
+        caffe_gpu_dot(dim, bottom_data, top_diff, &a);
+        caffe_gpu_scale(dim, Dtype(a / norm_data[n] / norm_data[n]),
+                               bottom_data, bottom_diff);
+        caffe_gpu_sub(dim, top_diff, bottom_diff, bottom_diff);
+        caffe_gpu_scale(dim, Dtype(1.0 / norm_data[n]), bottom_diff,
+                               bottom_diff);
+      } else {
+        // dot product between bottom_data and top_diff
+        caffe_gpu_mul(dim, bottom_data, top_diff, buffer_data);
+        caffe_gpu_gemv(CblasTrans, channels, spatial_dim, Dtype(1),
+                              buffer_data, sum_channel_multiplier, Dtype(0),
+                              buffer_spatial);
+        // scale botom_diff
+        // NOLINT_NEXT_LINE(whitespace/operators)
+        MulBsx<Dtype> <<<CAFFE_GET_BLOCKS(dim), CAFFE_CUDA_NUM_THREADS>>>(
+            dim, bottom_data, buffer_spatial, channels, spatial_dim,
+            CblasNoTrans, bottom_diff);
+        CUDA_POST_KERNEL_CHECK;
+        // divide by square of norm
+        caffe_gpu_powx(spatial_dim, norm_data, Dtype(2), buffer_spatial);
+        // NOLINT_NEXT_LINE(whitespace/operators)
+        DivBsx<Dtype> <<<CAFFE_GET_BLOCKS(dim), CAFFE_CUDA_NUM_THREADS>>>(
+            dim, bottom_diff, buffer_spatial, channels, spatial_dim,
+            CblasNoTrans, bottom_diff);
+        CUDA_POST_KERNEL_CHECK;
+        caffe_gpu_sub(dim, top_diff, bottom_diff, bottom_diff);
+        // divide by norm
+        // NOLINT_NEXT_LINE(whitespace/operators)
+        DivBsx<Dtype> <<<CAFFE_GET_BLOCKS(dim), CAFFE_CUDA_NUM_THREADS>>>(
+            dim, bottom_diff, norm_data, channels, spatial_dim, CblasNoTrans,
+            bottom_diff);
+        CUDA_POST_KERNEL_CHECK;
+        norm_data += spatial_dim;
+      }
+      // scale the diff
+      if (channel_shared_) {
+        caffe_gpu_scal(dim, scale[0], bottom_diff);
+      } else {
+        // NOLINT_NEXT_LINE(whitespace/operators)
+        MulBsx<Dtype> <<<CAFFE_GET_BLOCKS(dim), CAFFE_CUDA_NUM_THREADS>>>(
+            dim, bottom_diff, scale, channels, spatial_dim, CblasTrans,
+            bottom_diff);
+        CUDA_POST_KERNEL_CHECK;
+      }
+      bottom_data += dim;
+      top_diff += dim;
+      bottom_diff += dim;
+    }
+  }
+}
+
+INSTANTIATE_LAYER_GPU_FUNCS_FB(NormalizeLayer);
+
+
+}  // namespace caffe
diff --git a/src/caffe/layers/permute_layer.cpp b/src/caffe/layers/permute_layer.cpp
new file mode 100644
index 00000000000..58cd496bf67
--- /dev/null
+++ b/src/caffe/layers/permute_layer.cpp
@@ -0,0 +1,139 @@
+#include <vector>
+
+#include "caffe/layers/permute_layer.hpp"
+#include "caffe/util/math_functions.hpp"
+
+namespace caffe {
+
+template <typename Dtype>
+void Permute(const int count, Dtype* bottom_data, const bool forward,
+    const int* permute_order, const int* old_steps, const int* new_steps,
+    const int num_axes, Dtype* top_data) {
+    for (int i = 0; i < count; ++i) {
+      int old_idx = 0;
+      int idx = i;
+      for (int j = 0; j < num_axes; ++j) {
+        int order = permute_order[j];
+        old_idx += (idx / new_steps[j]) * old_steps[order];
+        idx %= new_steps[j];
+      }
+      if (forward) {
+        top_data[i] = bottom_data[old_idx];
+      } else {
+        bottom_data[old_idx] = top_data[i];
+      }
+    }
+}
+
+
+template <typename Ftype, typename Btype>
+void PermuteLayer<Ftype, Btype>::LayerSetUp(const vector<Blob*>& bottom,
+      const vector<Blob*>& top) {
+  PermuteParameter permute_param = this->layer_param_.permute_param();
+  CHECK_EQ(bottom.size(), 1);
+  num_axes_ = bottom[0]->num_axes();
+  vector<int> orders;
+  // Push the specified new orders.
+  for (int i = 0; i < permute_param.order_size(); ++i) {
+    int order = permute_param.order(i);
+    CHECK_LT(order, num_axes_)
+        << "order should be less than the input dimension.";
+    if (std::find(orders.begin(), orders.end(), order) != orders.end()) {
+      LOG(FATAL) << "there are duplicate orders";
+    }
+    orders.push_back(order);
+  }
+  // Push the rest orders. And save original step sizes for each axis.
+  for (int i = 0; i < num_axes_; ++i) {
+    if (std::find(orders.begin(), orders.end(), i) == orders.end()) {
+      orders.push_back(i);
+    }
+  }
+  CHECK_EQ(num_axes_, orders.size());
+  // Check if we need to reorder the data or keep it.
+  need_permute_ = false;
+  for (int i = 0; i < num_axes_; ++i) {
+    if (orders[i] != i) {
+      // As long as there is one order which is different from the natural order
+      // of the data, we need to permute. Otherwise, we share the data and diff.
+      need_permute_ = true;
+      break;
+    }
+  }
+
+  vector<int> top_shape(num_axes_, 1);
+  permute_order_.Reshape(num_axes_, 1, 1, 1);
+  old_steps_.Reshape(num_axes_, 1, 1, 1);
+  new_steps_.Reshape(num_axes_, 1, 1, 1);
+  for (int i = 0; i < num_axes_; ++i) {
+    permute_order_.mutable_cpu_data()[i] = orders[i];
+    top_shape[i] = bottom[0]->shape(orders[i]);
+  }
+  top[0]->Reshape(top_shape);
+}
+
+template <typename Ftype, typename Btype>
+void PermuteLayer<Ftype, Btype>::Reshape(const vector<Blob*>& bottom,
+      const vector<Blob*>& top) {
+  vector<int> top_shape;
+  for (int i = 0; i < num_axes_; ++i) {
+    if (i == num_axes_ - 1) {
+      old_steps_.mutable_cpu_data()[i] = 1;
+    } else {
+      old_steps_.mutable_cpu_data()[i] = bottom[0]->count(i + 1);
+    }
+    top_shape.push_back(bottom[0]->shape(permute_order_.cpu_data()[i]));
+  }
+  top[0]->Reshape(top_shape);
+
+  for (int i = 0; i < num_axes_; ++i) {
+    if (i == num_axes_ - 1) {
+      new_steps_.mutable_cpu_data()[i] = 1;
+    } else {
+      new_steps_.mutable_cpu_data()[i] = top[0]->count(i + 1);
+    }
+  }
+}
+
+template <typename Ftype, typename Btype>
+void PermuteLayer<Ftype, Btype>::Forward_cpu(const vector<Blob*>& bottom,
+      const vector<Blob*>& top) {
+  if (need_permute_) {
+    Dtype* bottom_data = bottom[0]->mutable_cpu_data<Dtype>();
+    Dtype* top_data = top[0]->mutable_cpu_data<Dtype>();
+    const int top_count = top[0]->count();
+    const int* permute_order = permute_order_.cpu_data();
+    const int* old_steps = old_steps_.cpu_data();
+    const int* new_steps = new_steps_.cpu_data();
+    bool forward = true;
+    Permute(top_count, bottom_data, forward, permute_order, old_steps,
+            new_steps, num_axes_, top_data);
+  } else {
+    // If there is no need to permute, we share data to save memory.
+    top[0]->ShareData(*bottom[0]);
+  }
+}
+
+template <typename Ftype, typename Btype>
+void PermuteLayer<Ftype, Btype>::Backward_cpu(const vector<Blob*>& top,
+      const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
+  if (need_permute_) {
+    Dtype* top_diff = top[0]->mutable_cpu_diff<Dtype>();
+    Dtype* bottom_diff = bottom[0]->mutable_cpu_diff<Dtype>();
+    const int top_count = top[0]->count();
+    const int* permute_order = permute_order_.cpu_data();
+    const int* old_steps = old_steps_.cpu_data();
+    const int* new_steps = new_steps_.cpu_data();
+    bool forward = false;
+    Permute(top_count, bottom_diff, forward, permute_order, old_steps,
+            new_steps, num_axes_, top_diff);
+  } else {
+    // If there is no need to permute, we share diff to save memory.
+    bottom[0]->ShareDiff(*top[0]);
+  }
+}
+
+INSTANTIATE_CLASS_FB(PermuteLayer);
+REGISTER_LAYER_CLASS(Permute);
+
+}  // namespace caffe
diff --git a/src/caffe/layers/permute_layer.cu b/src/caffe/layers/permute_layer.cu
new file mode 100644
index 00000000000..c63f4fa75e6
--- /dev/null
+++ b/src/caffe/layers/permute_layer.cu
@@ -0,0 +1,78 @@
+#include <algorithm>
+#include <cfloat>
+#include <vector>
+
+#include "caffe/layers/permute_layer.hpp"
+#include "caffe/util/math_functions.hpp"
+
+namespace caffe {
+
+template <typename Dtype>
+__global__ void PermuteKernel(const int nthreads,
+    Dtype* const bottom_data, const bool forward, const int* permute_order,
+    const int* old_steps, const int* new_steps, const int num_axes,
+    Dtype* const top_data) {
+  CUDA_KERNEL_LOOP(index, nthreads) {
+    int temp_idx = index;
+    int old_idx = 0;
+    for (int i = 0; i < num_axes; ++i) {
+      int order = permute_order[i];
+      old_idx += (temp_idx / new_steps[i]) * old_steps[order];
+      temp_idx %= new_steps[i];
+    }
+    if (forward) {
+      top_data[index] = bottom_data[old_idx];
+    } else {
+      bottom_data[old_idx] = top_data[index];
+    }
+  }
+}
+
+template <typename Ftype, typename Btype>
+void PermuteLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
+      const vector<Blob*>& top) {
+  if (need_permute_) {
+    Dtype* bottom_data = bottom[0]->mutable_gpu_data<Dtype>();
+    Dtype* top_data = top[0]->mutable_gpu_data<Dtype>();
+    int count = top[0]->count();
+    const int* permute_order = permute_order_.gpu_data();
+    const int* new_steps = new_steps_.gpu_data();
+    const int* old_steps = old_steps_.gpu_data();
+    bool foward = true;
+    // NOLINT_NEXT_LINE(whitespace/operators)
+    PermuteKernel<Dtype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS>>>(
+        count, bottom_data, foward, permute_order, old_steps, new_steps,
+        num_axes_, top_data);
+    CUDA_POST_KERNEL_CHECK;
+  } else {
+    // If there is no need to permute, we share data to save memory.
+    top[0]->ShareData(*bottom[0]);
+  }
+}
+
+
+template <typename Ftype, typename Btype>
+void PermuteLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
+      const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
+  if (need_permute_) {
+    Dtype* top_diff = top[0]->mutable_gpu_diff<Dtype>();
+    Dtype* bottom_diff = bottom[0]->mutable_gpu_diff<Dtype>();
+    const int count = bottom[0]->count();
+    const int* permute_order = permute_order_.gpu_data();
+    const int* new_steps = new_steps_.gpu_data();
+    const int* old_steps = old_steps_.gpu_data();
+    bool foward = false;
+    // NOLINT_NEXT_LINE(whitespace/operators)
+    PermuteKernel<Dtype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS>>>(
+        count, bottom_diff, foward, permute_order, old_steps, new_steps,
+        num_axes_, top_diff);
+    CUDA_POST_KERNEL_CHECK;
+  } else {
+    // If there is no need to permute, we share diff to save memory.
+    bottom[0]->ShareDiff(*top[0]);
+  }
+}
+
+INSTANTIATE_LAYER_GPU_FUNCS_FB(PermuteLayer);
+
+}  // namespace caffe
diff --git a/src/caffe/layers/pooling_layer.cpp b/src/caffe/layers/pooling_layer.cpp
index 6611f5b73b8..8dff65ba8c4 100644
--- a/src/caffe/layers/pooling_layer.cpp
+++ b/src/caffe/layers/pooling_layer.cpp
@@ -118,7 +118,7 @@ void PoolingLayer<Ftype, Btype>::Reshape(const vector<Blob*>& bottom,
   // If stochastic pooling, we will initialize the random index part.
   if (this->layer_param_.pooling_param().pool() ==
       PoolingParameter_PoolMethod_STOCHASTIC) {
-    rand_idx_.Reshape(bottom[0]->num(), channels_, pooled_height_,
+    rand_idx_->Reshape(bottom[0]->num(), channels_, pooled_height_,
       pooled_width_);
   }
 }
diff --git a/src/caffe/layers/pooling_layer.cu b/src/caffe/layers/pooling_layer.cu
index 57c05d564ac..a87e9bd76ce 100644
--- a/src/caffe/layers/pooling_layer.cu
+++ b/src/caffe/layers/pooling_layer.cu
@@ -87,7 +87,7 @@ __global__ void StoPoolForwardTrain(const int nthreads,
     const int num, const int channels, const int height,
     const int width, const int pooled_height, const int pooled_width,
     const int kernel_h, const int kernel_w, const int stride_h,
-    const int stride_w, float* const rand_idx, Ftype* const top_data) {
+    const int stride_w, Ftype* const rand_idx, Ftype* const top_data) {
   CUDA_KERNEL_LOOP(index, nthreads) {
     const int pw = index % pooled_width;
     const int ph = (index / pooled_width) % pooled_height;
@@ -97,7 +97,7 @@ __global__ void StoPoolForwardTrain(const int nthreads,
     const int hend = min(hstart + kernel_h, height);
     const int wstart = pw * stride_w;
     const int wend = min(wstart + kernel_w, width);
-    float cumsum = 0.;
+    float cumsum = 0.F;
     const Ftype* const bottom_slice =
         bottom_data + (n * channels + c) * height * width;
     // First pass: get sum
@@ -106,7 +106,7 @@ __global__ void StoPoolForwardTrain(const int nthreads,
         cumsum += bottom_slice[h * width + w];
       }
     }
-    const float thres = rand_idx[index] * cumsum;
+    const Ftype thres = rand_idx[index] * cumsum;
     // Second pass: get value, and set index.
     cumsum = 0;
     for (int h = hstart; h < hend; ++h) {
@@ -190,15 +190,14 @@ void PoolingLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
   case PoolingParameter_PoolMethod_STOCHASTIC:
     if (this->phase_ == TRAIN) {
       // We need to create the random index as well.
-      caffe_gpu_rng_uniform<float>(count, 0.F, 1.F,
-                            rand_idx_.mutable_gpu_data());
+      caffe_gpu_rng_uniform(count, Ftype(0), Ftype(1), rand_idx_->mutable_gpu_data<Ftype>());
       // NOLINT_NEXT_LINE(whitespace/operators)
       StoPoolForwardTrain<Ftype><<<CAFFE_GET_BLOCKS(count),
                                    CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
           count, bottom_data, bottom[0]->num(), channels_,
           height_, width_, pooled_height_, pooled_width_, kernel_h_,
           kernel_w_, stride_h_, stride_w_,
-          rand_idx_.mutable_gpu_data(), top[0]->mutable_gpu_data<Ftype>());
+          rand_idx_->mutable_gpu_data<Ftype>(), top[0]->mutable_gpu_data<Ftype>());
     } else {
       // NOLINT_NEXT_LINE(whitespace/operators)
       StoPoolForwardTest<Ftype><<<CAFFE_GET_BLOCKS(count),
@@ -303,7 +302,7 @@ __global__ void AvePoolBackward(const int nthreads, const Btype* const top_diff,
 
 template <typename Btype>
 __global__ void StoPoolBackward(const int nthreads,
-    const float* const rand_idx, const Btype* const top_diff,
+    const Btype* const rand_idx, const Btype* const top_diff,
     const int num, const int channels, const int height,
     const int width, const int pooled_height, const int pooled_width,
     const int kernel_h, const int kernel_w, const int stride_h,
@@ -319,8 +318,8 @@ __global__ void StoPoolBackward(const int nthreads,
     const int phend = min(h / stride_h + 1, pooled_height);
     const int pwstart = (w < kernel_w) ? 0 : (w - kernel_w) / stride_w + 1;
     const int pwend = min(w / stride_w + 1, pooled_width);
-    float gradient = 0;
-    const float* const rand_idx_slice =
+    float gradient = 0.F;
+    const Btype* const rand_idx_slice =
         rand_idx + (n * channels + c) * pooled_height * pooled_width;
     const Btype* const top_diff_slice =
         top_diff + (n * channels + c) * pooled_height * pooled_width;
@@ -378,7 +377,7 @@ void PoolingLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
   case PoolingParameter_PoolMethod_STOCHASTIC:
     // NOLINT_NEXT_LINE(whitespace/operators)
     StoPoolBackward<Btype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
-        count, rand_idx_.gpu_data(), top_diff,
+        count, rand_idx_->gpu_data<Btype>(), top_diff,
         top[0]->num(), channels_, height_, width_, pooled_height_,
         pooled_width_, kernel_h_, kernel_w_, stride_h_, stride_w_,
         bottom_diff);
diff --git a/src/caffe/layers/prior_box_layer.cpp b/src/caffe/layers/prior_box_layer.cpp
new file mode 100644
index 00000000000..b557a99e879
--- /dev/null
+++ b/src/caffe/layers/prior_box_layer.cpp
@@ -0,0 +1,224 @@
+#include <algorithm>
+#include <functional>
+#include <utility>
+#include <vector>
+
+#include "caffe/layers/prior_box_layer.hpp"
+
+namespace caffe {
+
+template <typename Ftype, typename Btype>
+void PriorBoxLayer<Ftype, Btype>::LayerSetUp(const vector<Blob*>& bottom,
+      const vector<Blob*>& top) {
+  const PriorBoxParameter& prior_box_param =
+      this->layer_param_.prior_box_param();
+  CHECK_GT(prior_box_param.min_size_size(), 0) << "must provide min_size.";
+  for (int i = 0; i < prior_box_param.min_size_size(); ++i) {
+    min_sizes_.push_back(prior_box_param.min_size(i));
+    CHECK_GT(min_sizes_.back(), 0) << "min_size must be positive.";
+  }
+  aspect_ratios_.clear();
+  aspect_ratios_.push_back(1.);
+  flip_ = prior_box_param.flip();
+  for (int i = 0; i < prior_box_param.aspect_ratio_size(); ++i) {
+    float ar = prior_box_param.aspect_ratio(i);
+    bool already_exist = false;
+    for (int j = 0; j < aspect_ratios_.size(); ++j) {
+      if (fabs(ar - aspect_ratios_[j]) < 1e-6) {
+        already_exist = true;
+        break;
+      }
+    }
+    if (!already_exist) {
+      aspect_ratios_.push_back(ar);
+      if (flip_) {
+        aspect_ratios_.push_back(1./ar);
+      }
+    }
+  }
+  num_priors_ = aspect_ratios_.size() * min_sizes_.size();
+  if (prior_box_param.max_size_size() > 0) {
+    CHECK_EQ(prior_box_param.min_size_size(), prior_box_param.max_size_size());
+    for (int i = 0; i < prior_box_param.max_size_size(); ++i) {
+      max_sizes_.push_back(prior_box_param.max_size(i));
+      CHECK_GT(max_sizes_[i], min_sizes_[i])
+          << "max_size must be greater than min_size.";
+      num_priors_ += 1;
+    }
+  }
+  clip_ = prior_box_param.clip();
+  if (prior_box_param.variance_size() > 1) {
+    // Must and only provide 4 variance.
+    CHECK_EQ(prior_box_param.variance_size(), 4);
+    for (int i = 0; i < prior_box_param.variance_size(); ++i) {
+      CHECK_GT(prior_box_param.variance(i), 0);
+      variance_.push_back(prior_box_param.variance(i));
+    }
+  } else if (prior_box_param.variance_size() == 1) {
+    CHECK_GT(prior_box_param.variance(0), 0);
+    variance_.push_back(prior_box_param.variance(0));
+  } else {
+    // Set default to 0.1.
+    variance_.push_back(0.1);
+  }
+
+  if (prior_box_param.has_img_h() || prior_box_param.has_img_w()) {
+    CHECK(!prior_box_param.has_img_size())
+        << "Either img_size or img_h/img_w should be specified; not both.";
+    img_h_ = prior_box_param.img_h();
+    CHECK_GT(img_h_, 0) << "img_h should be larger than 0.";
+    img_w_ = prior_box_param.img_w();
+    CHECK_GT(img_w_, 0) << "img_w should be larger than 0.";
+  } else if (prior_box_param.has_img_size()) {
+    const int img_size = prior_box_param.img_size();
+    CHECK_GT(img_size, 0) << "img_size should be larger than 0.";
+    img_h_ = img_size;
+    img_w_ = img_size;
+  } else {
+    img_h_ = 0;
+    img_w_ = 0;
+  }
+
+  if (prior_box_param.has_step_h() || prior_box_param.has_step_w()) {
+    CHECK(!prior_box_param.has_step())
+        << "Either step or step_h/step_w should be specified; not both.";
+    step_h_ = prior_box_param.step_h();
+    CHECK_GT(step_h_, 0.) << "step_h should be larger than 0.";
+    step_w_ = prior_box_param.step_w();
+    CHECK_GT(step_w_, 0.) << "step_w should be larger than 0.";
+  } else if (prior_box_param.has_step()) {
+    const float step = prior_box_param.step();
+    CHECK_GT(step, 0) << "step should be larger than 0.";
+    step_h_ = step;
+    step_w_ = step;
+  } else {
+    step_h_ = 0;
+    step_w_ = 0;
+  }
+
+  offset_ = prior_box_param.offset();
+}
+
+template <typename Ftype, typename Btype>
+void PriorBoxLayer<Ftype, Btype>::Reshape(const vector<Blob*>& bottom,
+      const vector<Blob*>& top) {
+  const int layer_width = bottom[0]->width();
+  const int layer_height = bottom[0]->height();
+  vector<int> top_shape(3, 1);
+  // Since all images in a batch has same height and width, we only need to
+  // generate one set of priors which can be shared across all images.
+  top_shape[0] = 1;
+  // 2 channels. First channel stores the mean of each prior coordinate.
+  // Second channel stores the variance of each prior coordinate.
+  top_shape[1] = 2;
+  top_shape[2] = layer_width * layer_height * num_priors_ * 4;
+  CHECK_GT(top_shape[2], 0);
+  top[0]->Reshape(top_shape);
+}
+
+template <typename Ftype, typename Btype>
+void PriorBoxLayer<Ftype, Btype>::Forward_cpu(const vector<Blob*>& bottom,
+    const vector<Blob*>& top) {
+  const int layer_width = bottom[0]->width();
+  const int layer_height = bottom[0]->height();
+  int img_width, img_height;
+  if (img_h_ == 0 || img_w_ == 0) {
+    img_width = bottom[1]->width();
+    img_height = bottom[1]->height();
+  } else {
+    img_width = img_w_;
+    img_height = img_h_;
+  }
+  float step_w, step_h;
+  if (step_w_ == 0 || step_h_ == 0) {
+    step_w = static_cast<float>(img_width) / layer_width;
+    step_h = static_cast<float>(img_height) / layer_height;
+  } else {
+    step_w = step_w_;
+    step_h = step_h_;
+  }
+  Ftype* top_data = top[0]->mutable_cpu_data<Dtype>();
+  int dim = layer_height * layer_width * num_priors_ * 4;
+  int idx = 0;
+  for (int h = 0; h < layer_height; ++h) {
+    for (int w = 0; w < layer_width; ++w) {
+      float center_x = (w + offset_) * step_w;
+      float center_y = (h + offset_) * step_h;
+      float box_width, box_height;
+      for (int s = 0; s < min_sizes_.size(); ++s) {
+        int min_size_ = min_sizes_[s];
+        // first prior: aspect_ratio = 1, size = min_size
+        box_width = box_height = min_size_;
+        // xmin
+        top_data[idx++] = (center_x - box_width / 2.) / img_width;
+        // ymin
+        top_data[idx++] = (center_y - box_height / 2.) / img_height;
+        // xmax
+        top_data[idx++] = (center_x + box_width / 2.) / img_width;
+        // ymax
+        top_data[idx++] = (center_y + box_height / 2.) / img_height;
+
+        if (max_sizes_.size() > 0) {
+          CHECK_EQ(min_sizes_.size(), max_sizes_.size());
+          int max_size_ = max_sizes_[s];
+          // second prior: aspect_ratio = 1, size = sqrt(min_size * max_size)
+          box_width = box_height = sqrt(min_size_ * max_size_);
+          // xmin
+          top_data[idx++] = (center_x - box_width / 2.) / img_width;
+          // ymin
+          top_data[idx++] = (center_y - box_height / 2.) / img_height;
+          // xmax
+          top_data[idx++] = (center_x + box_width / 2.) / img_width;
+          // ymax
+          top_data[idx++] = (center_y + box_height / 2.) / img_height;
+        }
+
+        // rest of priors
+        for (int r = 0; r < aspect_ratios_.size(); ++r) {
+          float ar = aspect_ratios_[r];
+          if (fabs(ar - 1.) < 1e-6) {
+            continue;
+          }
+          box_width = min_size_ * sqrt(ar);
+          box_height = min_size_ / sqrt(ar);
+          // xmin
+          top_data[idx++] = (center_x - box_width / 2.) / img_width;
+          // ymin
+          top_data[idx++] = (center_y - box_height / 2.) / img_height;
+          // xmax
+          top_data[idx++] = (center_x + box_width / 2.) / img_width;
+          // ymax
+          top_data[idx++] = (center_y + box_height / 2.) / img_height;
+        }
+      }
+    }
+  }
+  // clip the prior's coordidate such that it is within [0, 1]
+  if (clip_) {
+    for (int d = 0; d < dim; ++d) {
+      top_data[d] = std::min<Dtype>(std::max<Dtype>(top_data[d], 0.), 1.);
+    }
+  }
+  // set the variance.
+  top_data += top[0]->offset(0, 1);
+  if (variance_.size() == 1) {
+    caffe_set(dim, Dtype(variance_[0]), top_data);
+  } else {
+    int count = 0;
+    for (int h = 0; h < layer_height; ++h) {
+      for (int w = 0; w < layer_width; ++w) {
+        for (int i = 0; i < num_priors_; ++i) {
+          for (int j = 0; j < 4; ++j) {
+            top_data[count] = variance_[j];
+            ++count;
+          }
+        }
+      }
+    }
+  }
+}
+
+INSTANTIATE_CLASS_FB(PriorBoxLayer);
+REGISTER_LAYER_CLASS(PriorBox);
+
+}  // namespace caffe
diff --git a/src/caffe/layers/recurrent_layer.cpp b/src/caffe/layers/recurrent_layer.cpp
new file mode 100644
index 00000000000..75ac19c0ba0
--- /dev/null
+++ b/src/caffe/layers/recurrent_layer.cpp
@@ -0,0 +1,297 @@
+#include <string>
+#include <vector>
+
+#include "caffe/blob.hpp"
+#include "caffe/common.hpp"
+#include "caffe/filler.hpp"
+#include "caffe/layer.hpp"
+#include "caffe/layers/recurrent_layer.hpp"
+#include "caffe/util/math_functions.hpp"
+
+namespace caffe {
+
+template<typename Ftype, typename Btype>
+void RecurrentLayer<Ftype, Btype>::LayerSetUp(const vector<Blob*>& bottom,
+      const vector<Blob*>& top) {
+  CHECK_GE(bottom[0]->num_axes(), 2)
+      << "bottom[0] must have at least 2 axes -- (#timesteps, #streams, ...)";
+  T_ = bottom[0]->shape(0);
+  N_ = bottom[0]->shape(1);
+  LOG(INFO) << "Initializing recurrent layer: assuming input batch contains "
+            << T_ << " timesteps of " << N_ << " independent streams.";
+
+  CHECK_EQ(bottom[1]->num_axes(), 2)
+      << "bottom[1] must have exactly 2 axes -- (#timesteps, #streams)";
+  CHECK_EQ(T_, bottom[1]->shape(0));
+  CHECK_EQ(N_, bottom[1]->shape(1));
+
+  // If expose_hidden is set, we take as input and produce as output
+  // the hidden state blobs at the first and last timesteps.
+  expose_hidden_ = this->layer_param_.recurrent_param().expose_hidden();
+
+  // Get (recurrent) input/output names.
+  vector<string> output_names;
+  OutputBlobNames(&output_names);
+  vector<string> recur_input_names;
+  RecurrentInputBlobNames(&recur_input_names);
+  vector<string> recur_output_names;
+  RecurrentOutputBlobNames(&recur_output_names);
+  const int num_recur_blobs = recur_input_names.size();
+  CHECK_EQ(num_recur_blobs, recur_output_names.size());
+
+  // If provided, bottom[2] is a static input to the recurrent net.
+  const int num_hidden_exposed = expose_hidden_ * num_recur_blobs;
+  static_input_ = (bottom.size() > 2 + num_hidden_exposed);
+  if (static_input_) {
+    CHECK_GE(bottom[2]->num_axes(), 1);
+    CHECK_EQ(N_, bottom[2]->shape(0));
+  }
+
+  // Create a NetParameter; setup the inputs that aren't unique to particular
+  // recurrent architectures.
+  NetParameter net_param;
+  net_param.set_default_forward_type(tp<Ftype>());
+  net_param.set_default_backward_type(tp<Btype>());
+  net_param.set_default_forward_math(tp<Ftype>());
+  net_param.set_default_backward_math(tp<Btype>());
+
+  LayerParameter* input_layer_param = net_param.add_layer();
+  input_layer_param->set_type("Input");
+  InputParameter* input_param = input_layer_param->mutable_input_param();
+  input_layer_param->add_top("x");
+  BlobShape input_shape;
+  for (int i = 0; i < bottom[0]->num_axes(); ++i) {
+    input_shape.add_dim(bottom[0]->shape(i));
+  }
+  input_param->add_shape()->CopyFrom(input_shape);
+
+  input_shape.Clear();
+  for (int i = 0; i < bottom[1]->num_axes(); ++i) {
+    input_shape.add_dim(bottom[1]->shape(i));
+  }
+  input_layer_param->add_top("cont");
+  input_param->add_shape()->CopyFrom(input_shape);
+
+  if (static_input_) {
+    input_shape.Clear();
+    for (int i = 0; i < bottom[2]->num_axes(); ++i) {
+      input_shape.add_dim(bottom[2]->shape(i));
+    }
+    input_layer_param->add_top("x_static");
+    input_param->add_shape()->CopyFrom(input_shape);
+  }
+
+  // Call the child's FillUnrolledNet implementation to specify the unrolled
+  // recurrent architecture.
+  this->FillUnrolledNet(&net_param);
+
+  // Prepend this layer's name to the names of each layer in the unrolled net.
+  const string& layer_name = this->layer_param_.name();
+  if (layer_name.size()) {
+    for (int i = 0; i < net_param.layer_size(); ++i) {
+      LayerParameter* layer = net_param.mutable_layer(i);
+      layer->set_name(layer_name + "_" + layer->name());
+    }
+  }
+
+  // Add "pseudo-losses" to all outputs to force backpropagation.
+  // (Setting force_backward is too aggressive as we may not need to backprop to
+  // all inputs, e.g., the sequence continuation indicators.)
+  vector<string> pseudo_losses(output_names.size());
+  for (int i = 0; i < output_names.size(); ++i) {
+    LayerParameter* layer = net_param.add_layer();
+    pseudo_losses[i] = output_names[i] + "_pseudoloss";
+    layer->set_name(pseudo_losses[i]);
+    layer->set_type("Reduction");
+    layer->add_bottom(output_names[i]);
+    layer->add_top(pseudo_losses[i]);
+    layer->add_loss_weight(1);
+  }
+
+  const size_t rank = this->parent_rank();
+  // Create the unrolled net.
+  unrolled_net_.reset(new Net(net_param, rank,
+                              nullptr, nullptr, nullptr, true));
+  unrolled_net_->set_debug_info(
+      this->layer_param_.recurrent_param().debug_info());
+
+  // Setup pointers to the inputs.
+  x_input_blob_ = CHECK_NOTNULL(unrolled_net_->blob_by_name("x").get());
+  cont_input_blob_ = CHECK_NOTNULL(unrolled_net_->blob_by_name("cont").get());
+  if (static_input_) {
+    x_static_input_blob_ =
+        CHECK_NOTNULL(unrolled_net_->blob_by_name("x_static").get());
+  }
+
+  // Setup pointers to paired recurrent inputs/outputs.
+  recur_input_blobs_.resize(num_recur_blobs);
+  recur_output_blobs_.resize(num_recur_blobs);
+  for (int i = 0; i < recur_input_names.size(); ++i) {
+    recur_input_blobs_[i] =
+        CHECK_NOTNULL(unrolled_net_->blob_by_name(recur_input_names[i]).get());
+    recur_output_blobs_[i] =
+        CHECK_NOTNULL(unrolled_net_->blob_by_name(recur_output_names[i]).get());
+  }
+
+  // Setup pointers to outputs.
+  CHECK_EQ(top.size() - num_hidden_exposed, output_names.size())
+      << "OutputBlobNames must provide an output blob name for each top.";
+  output_blobs_.resize(output_names.size());
+  for (int i = 0; i < output_names.size(); ++i) {
+    output_blobs_[i] =
+        CHECK_NOTNULL(unrolled_net_->blob_by_name(output_names[i]).get());
+  }
+
+  // We should have 2 inputs (x and cont), plus a number of recurrent inputs,
+  // plus maybe a static input.
+  CHECK_EQ(2 + num_recur_blobs + static_input_,
+           unrolled_net_->input_blobs().size());
+
+  // This layer's parameters are any parameters in the layers of the unrolled
+  // net. We only want one copy of each parameter, so check that the parameter
+  // is "owned" by the layer, rather than shared with another.
+  this->blobs_.clear();
+  for (int i = 0; i < unrolled_net_->params().size(); ++i) {
+    if (unrolled_net_->param_owners()[i] == -1) {
+      LOG(INFO) << "Adding parameter " << i << ": "
+                << unrolled_net_->param_display_names()[i];
+      this->blobs_.push_back(unrolled_net_->params()[i]);
+    }
+  }
+  // Check that param_propagate_down is set for all of the parameters in the
+  // unrolled net; set param_propagate_down to true in this layer.
+  for (int i = 0; i < unrolled_net_->layers().size(); ++i) {
+    for (int j = 0; j < unrolled_net_->layers()[i]->blobs().size(); ++j) {
+      CHECK(unrolled_net_->layers()[i]->param_propagate_down(j))
+          << "param_propagate_down not set for layer " << i << ", param " << j;
+    }
+  }
+  this->param_propagate_down_.clear();
+  this->param_propagate_down_.resize(this->blobs_.size(), true);
+
+  // Set the diffs of recurrent outputs to 0 -- we can't backpropagate across
+  // batches.
+  for (int i = 0; i < recur_output_blobs_.size(); ++i) {
+    caffe_set(recur_output_blobs_[i]->count(), Ftype(0),
+              recur_output_blobs_[i]->mutable_cpu_diff<Ftype>());
+  }
+
+  // Check that the last output_names.size() layers are the pseudo-losses;
+  // set last_layer_index so that we don't actually run these layers.
+  const vector<string>& layer_names = unrolled_net_->layer_names();
+  last_layer_index_ = layer_names.size() - 1 - pseudo_losses.size();
+  for (int i = last_layer_index_ + 1, j = 0; i < layer_names.size(); ++i, ++j) {
+    CHECK_EQ(layer_names[i], pseudo_losses[j]);
+  }
+}
+
+template<typename Ftype, typename Btype>
+void RecurrentLayer<Ftype, Btype>::Reshape(const vector<Blob*>& bottom,
+      const vector<Blob*>& top) {
+  CHECK_GE(bottom[0]->num_axes(), 2)
+      << "bottom[0] must have at least 2 axes -- (#timesteps, #streams, ...)";
+  CHECK_EQ(T_, bottom[0]->shape(0)) << "input number of timesteps changed";
+  N_ = bottom[0]->shape(1);
+  CHECK_EQ(bottom[1]->num_axes(), 2)
+      << "bottom[1] must have exactly 2 axes -- (#timesteps, #streams)";
+  CHECK_EQ(T_, bottom[1]->shape(0));
+  CHECK_EQ(N_, bottom[1]->shape(1));
+  x_input_blob_->ReshapeLike(*bottom[0]);
+  vector<int> cont_shape = bottom[1]->shape();
+  cont_input_blob_->Reshape(cont_shape);
+  if (static_input_) {
+    x_static_input_blob_->ReshapeLike(*bottom[2]);
+  }
+  vector<BlobShape> recur_input_shapes;
+  RecurrentInputShapes(&recur_input_shapes);
+  CHECK_EQ(recur_input_shapes.size(), recur_input_blobs_.size());
+  for (int i = 0; i < recur_input_shapes.size(); ++i) {
+    recur_input_blobs_[i]->Reshape(recur_input_shapes[i]);
+  }
+  unrolled_net_->Reshape();
+  x_input_blob_->ShareData(*bottom[0]);
+  x_input_blob_->ShareDiff(*bottom[0]);
+  cont_input_blob_->ShareData(*bottom[1]);
+  if (static_input_) {
+    x_static_input_blob_->ShareData(*bottom[2]);
+    x_static_input_blob_->ShareDiff(*bottom[2]);
+  }
+  if (expose_hidden_) {
+    const int bottom_offset = 2 + static_input_;
+    for (int i = bottom_offset, j = 0; i < bottom.size(); ++i, ++j) {
+      CHECK(recur_input_blobs_[j]->shape() == bottom[i]->shape())
+          << "bottom[" << i << "] shape must match hidden state input shape: "
+          << recur_input_blobs_[j]->shape_string();
+      recur_input_blobs_[j]->ShareData(*bottom[i]);
+    }
+  }
+  for (int i = 0; i < output_blobs_.size(); ++i) {
+    top[i]->ReshapeLike(*output_blobs_[i]);
+    top[i]->ShareData(*output_blobs_[i]);
+    top[i]->ShareDiff(*output_blobs_[i]);
+  }
+  if (expose_hidden_) {
+    const int top_offset = output_blobs_.size();
+    for (int i = top_offset, j = 0; i < top.size(); ++i, ++j) {
+      top[i]->ReshapeLike(*recur_output_blobs_[j]);
+    }
+  }
+}
+
+template<typename Ftype, typename Btype>
+void RecurrentLayer<Ftype, Btype>::Reset() {
+  // "Reset" the hidden state of the net by zeroing out all recurrent outputs.
+  for (int i = 0; i < recur_output_blobs_.size(); ++i) {
+    caffe_set(recur_output_blobs_[i]->count(), Ftype(0),
+              recur_output_blobs_[i]->mutable_cpu_data<Ftype>());
+  }
+}
+
+template<typename Ftype, typename Btype>
+void RecurrentLayer<Ftype, Btype>::Forward_cpu(const vector<Blob*>& bottom,
+    const vector<Blob*>& top) {
+  // Hacky fix for test time: reshare all the internal shared blobs, which may
+  // currently point to a stale owner blob that was dropped when Solver::Test
+  // called test_net->ShareTrainedLayersWith(net_.get()).
+  // TODO: somehow make this work non-hackily.
+  if (this->phase_ == TEST) {
+    unrolled_net_->ShareWeights();
+  }
+
+  DCHECK_EQ(recur_input_blobs_.size(), recur_output_blobs_.size());
+  if (!expose_hidden_) {
+    for (int i = 0; i < recur_input_blobs_.size(); ++i) {
+      const int count = recur_input_blobs_[i]->count();
+      DCHECK_EQ(count, recur_output_blobs_[i]->count());
+      const Ftype* timestep_T_data = recur_output_blobs_[i]->cpu_data<Ftype>();
+      Ftype* timestep_0_data = recur_input_blobs_[i]->mutable_cpu_data<Ftype>();
+      caffe_copy(count, timestep_T_data, timestep_0_data);
+    }
+  }
+
+  unrolled_net_->ForwardTo(last_layer_index_);
+
+  if (expose_hidden_) {
+    const int top_offset = output_blobs_.size();
+    for (int i = top_offset, j = 0; i < top.size(); ++i, ++j) {
+      top[i]->ShareData(*recur_output_blobs_[j]);
+    }
+  }
+}
+
+template<typename Ftype, typename Btype>
+void RecurrentLayer<Ftype, Btype>::Backward_cpu(const vector<Blob*>& top,
+    const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
+  CHECK(!propagate_down[1]) << "Cannot backpropagate to sequence indicators.";
+
+  // TODO: skip backpropagation to inputs and parameters inside the unrolled
+  // net according to propagate_down[0] and propagate_down[2]. For now just
+  // backprop to inputs and parameters unconditionally, as either the inputs or
+  // the parameters do need backward (or Net would have set
+  // layer_needs_backward_[i] == false for this layer).
+  unrolled_net_->BackwardFromToAu(last_layer_index_, 0, false);
+}
+
+INSTANTIATE_CLASS_FB(RecurrentLayer);
+
+}  // namespace caffe
diff --git a/src/caffe/layers/recurrent_layer.cu b/src/caffe/layers/recurrent_layer.cu
new file mode 100644
index 00000000000..102ba15ebad
--- /dev/null
+++ b/src/caffe/layers/recurrent_layer.cu
@@ -0,0 +1,44 @@
+#include <vector>
+
+#include "caffe/blob.hpp"
+#include "caffe/common.hpp"
+#include "caffe/filler.hpp"
+#include "caffe/layer.hpp"
+#include "caffe/layers/recurrent_layer.hpp"
+#include "caffe/util/math_functions.hpp"
+
+namespace caffe {
+
+template<typename Ftype, typename Btype>
+void RecurrentLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
+    const vector<Blob*>& top) {
+  // Hacky fix for test time... reshare all the shared blobs.
+  // TODO: somehow make this work non-hackily.
+  if (this->phase_ == TEST) {
+    unrolled_net_->ShareWeights();
+  }
+
+  DCHECK_EQ(recur_input_blobs_.size(), recur_output_blobs_.size());
+  if (!expose_hidden_) {
+    for (int i = 0; i < recur_input_blobs_.size(); ++i) {
+      const int count = recur_input_blobs_[i]->count();
+      DCHECK_EQ(count, recur_output_blobs_[i]->count());
+      const Ftype* timestep_T_data = recur_output_blobs_[i]->gpu_data<Ftype>();
+      Ftype* timestep_0_data = recur_input_blobs_[i]->mutable_gpu_data<Ftype>();
+      caffe_copy(count, timestep_T_data, timestep_0_data);
+    }
+  }
+
+  unrolled_net_->ForwardTo(last_layer_index_);
+
+  if (expose_hidden_) {
+    const int top_offset = output_blobs_.size();
+    for (int i = top_offset, j = 0; i < top.size(); ++i, ++j) {
+      top[i]->ShareData(*recur_output_blobs_[j]);
+    }
+  }
+}
+
+INSTANTIATE_LAYER_GPU_FORWARD_ONLY_FB(RecurrentLayer);
+
+}  // namespace caffe
diff --git a/src/caffe/layers/reduction_layer.cpp b/src/caffe/layers/reduction_layer.cpp
index 7f3952dd5cc..b573f27c583 100644
--- a/src/caffe/layers/reduction_layer.cpp
+++ b/src/caffe/layers/reduction_layer.cpp
@@ -29,8 +29,10 @@ void ReductionLayer<Ftype, Btype>::Reshape(const vector<Blob*>& bottom,
   if (op_ == ReductionParameter_ReductionOp_SUM ||
       op_ == ReductionParameter_ReductionOp_MEAN) {
     vector<int> sum_mult_shape(1, dim_);
-    sum_multiplier_.Reshape(sum_mult_shape);
-    caffe_set<Ftype>(dim_, Ftype(1), sum_multiplier_.template mutable_cpu_data<Ftype>());
+    if (sum_multiplier_.shape() != sum_mult_shape) {
+      sum_multiplier_.Reshape(sum_mult_shape);
+      caffe_set(dim_, Ftype(1), sum_multiplier_.mutable_cpu_data());
+    }
   }
   coeff_ = this->layer_param().reduction_param().coeff();
   if (op_ == ReductionParameter_ReductionOp_MEAN) {
diff --git a/src/caffe/layers/reshape_layer.cpp b/src/caffe/layers/reshape_layer.cpp
index f448124f462..1e9a88b96b3 100644
--- a/src/caffe/layers/reshape_layer.cpp
+++ b/src/caffe/layers/reshape_layer.cpp
@@ -87,7 +87,7 @@ void ReshapeLayer<Ftype, Btype>::Reshape(const vector<Blob*>& bottom,
   CHECK_EQ(top[0]->count(), bottom[0]->count())
       << "output count must match input count";
   top[0]->ShareData(*bottom[0]);
-  top[0]->ShareDiff(*bottom[0]);
+  bottom[0]->ShareDiff(*top[0]);
 }
 
 INSTANTIATE_CLASS_FB(ReshapeLayer);
diff --git a/src/caffe/layers/rnn_layer.cpp b/src/caffe/layers/rnn_layer.cpp
new file mode 100644
index 00000000000..d4af9e1c99f
--- /dev/null
+++ b/src/caffe/layers/rnn_layer.cpp
@@ -0,0 +1,236 @@
+#include <string>
+#include <vector>
+
+#include "caffe/common.hpp"
+#include "caffe/blob.hpp"
+#include "caffe/filler.hpp"
+#include "caffe/layer.hpp"
+#include "caffe/layers/rnn_layer.hpp"
+#include "caffe/util/math_functions.hpp"
+
+namespace caffe {
+
+template<typename Ftype, typename Btype>
+void RNNLayer<Ftype, Btype>::RecurrentInputBlobNames(vector<string>* names) const {
+  names->resize(1);
+  (*names)[0] = "h_0";
+}
+
+template<typename Ftype, typename Btype>
+void RNNLayer<Ftype, Btype>::RecurrentOutputBlobNames(vector<string>* names) const {
+  names->resize(1);
+  (*names)[0] = "h_" + format_int(this->T_);
+}
+
+template<typename Ftype, typename Btype>
+void RNNLayer<Ftype, Btype>::RecurrentInputShapes(vector<BlobShape>* shapes) const {
+  const int num_output = this->layer_param_.recurrent_param().num_output();
+  shapes->resize(1);
+  (*shapes)[0].Clear();
+  (*shapes)[0].add_dim(1);  // a single timestep
+  (*shapes)[0].add_dim(this->N_);
+  (*shapes)[0].add_dim(num_output);
+}
+
+template<typename Ftype, typename Btype>
+void RNNLayer<Ftype, Btype>::OutputBlobNames(vector<string>* names) const {
+  names->resize(1);
+  (*names)[0] = "o";
+}
+
+template<typename Ftype, typename Btype>
+void RNNLayer<Ftype, Btype>::FillUnrolledNet(NetParameter* net_param) const {
+  const int num_output = this->layer_param_.recurrent_param().num_output();
+  CHECK_GT(num_output, 0) << "num_output must be positive";
+  const FillerParameter& weight_filler =
+      this->layer_param_.recurrent_param().weight_filler();
+  const FillerParameter& bias_filler =
+      this->layer_param_.recurrent_param().bias_filler();
+
+  // Add generic LayerParameter's (without bottoms/tops) of layer types we'll
+  // use to save redundant code.
+  LayerParameter hidden_param;
+  hidden_param.set_type("InnerProduct");
+  hidden_param.mutable_inner_product_param()->set_num_output(num_output);
+  hidden_param.mutable_inner_product_param()->set_bias_term(false);
+  hidden_param.mutable_inner_product_param()->set_axis(2);
+  hidden_param.mutable_inner_product_param()->
+      mutable_weight_filler()->CopyFrom(weight_filler);
+
+  LayerParameter biased_hidden_param(hidden_param);
+  biased_hidden_param.mutable_inner_product_param()->set_bias_term(true);
+  biased_hidden_param.mutable_inner_product_param()->
+      mutable_bias_filler()->CopyFrom(bias_filler);
+
+  LayerParameter sum_param;
+  sum_param.set_type("Eltwise");
+  sum_param.mutable_eltwise_param()->set_operation(
+      EltwiseParameter_EltwiseOp_SUM);
+
+  LayerParameter tanh_param;
+  tanh_param.set_type("TanH");
+
+  LayerParameter scale_param;
+  scale_param.set_type("Scale");
+  scale_param.mutable_scale_param()->set_axis(0);
+
+  LayerParameter slice_param;
+  slice_param.set_type("Slice");
+  slice_param.mutable_slice_param()->set_axis(0);
+
+  vector<BlobShape> input_shapes;
+  RecurrentInputShapes(&input_shapes);
+  CHECK_EQ(1, input_shapes.size());
+
+  LayerParameter* input_layer_param = net_param->add_layer();
+  input_layer_param->set_type("Input");
+  InputParameter* input_param = input_layer_param->mutable_input_param();
+  input_layer_param->add_top("h_0");
+  input_param->add_shape()->CopyFrom(input_shapes[0]);
+
+  LayerParameter* cont_slice_param = net_param->add_layer();
+  cont_slice_param->CopyFrom(slice_param);
+  cont_slice_param->set_name("cont_slice");
+  cont_slice_param->add_bottom("cont");
+  cont_slice_param->mutable_slice_param()->set_axis(0);
+
+  // Add layer to transform all timesteps of x to the hidden state dimension.
+  //     W_xh_x = W_xh * x + b_h
+  {
+    LayerParameter* x_transform_param = net_param->add_layer();
+    x_transform_param->CopyFrom(biased_hidden_param);
+    x_transform_param->set_name("x_transform");
+    x_transform_param->add_param()->set_name("W_xh");
+    x_transform_param->add_param()->set_name("b_h");
+    x_transform_param->add_bottom("x");
+    x_transform_param->add_top("W_xh_x");
+    x_transform_param->add_propagate_down(true);
+  }
+
+  if (this->static_input_) {
+    // Add layer to transform x_static to the hidden state dimension.
+    //     W_xh_x_static = W_xh_static * x_static
+    LayerParameter* x_static_transform_param = net_param->add_layer();
+    x_static_transform_param->CopyFrom(hidden_param);
+    x_static_transform_param->mutable_inner_product_param()->set_axis(1);
+    x_static_transform_param->set_name("W_xh_x_static");
+    x_static_transform_param->add_param()->set_name("W_xh_static");
+    x_static_transform_param->add_bottom("x_static");
+    x_static_transform_param->add_top("W_xh_x_static_preshape");
+    x_static_transform_param->add_propagate_down(true);
+
+    LayerParameter* reshape_param = net_param->add_layer();
+    reshape_param->set_type("Reshape");
+    BlobShape* new_shape =
+         reshape_param->mutable_reshape_param()->mutable_shape();
+    new_shape->add_dim(1);  // One timestep.
+    // Should infer this->N as the dimension so we can reshape on batch size.
+    new_shape->add_dim(-1);
+    new_shape->add_dim(
+        x_static_transform_param->inner_product_param().num_output());
+    reshape_param->set_name("W_xh_x_static_reshape");
+    reshape_param->add_bottom("W_xh_x_static_preshape");
+    reshape_param->add_top("W_xh_x_static");
+  }
+
+  LayerParameter* x_slice_param = net_param->add_layer();
+  x_slice_param->CopyFrom(slice_param);
+  x_slice_param->set_name("W_xh_x_slice");
+  x_slice_param->add_bottom("W_xh_x");
+
+  LayerParameter output_concat_layer;
+  output_concat_layer.set_name("o_concat");
+  output_concat_layer.set_type("Concat");
+  output_concat_layer.add_top("o");
+  output_concat_layer.mutable_concat_param()->set_axis(0);
+
+  for (int t = 1; t <= this->T_; ++t) {
+    string tm1s = format_int(t - 1);
+    string ts = format_int(t);
+
+    cont_slice_param->add_top("cont_" + ts);
+    x_slice_param->add_top("W_xh_x_" + ts);
+
+    // Add layer to flush the hidden state when beginning a new sequence,
+    // as indicated by cont_t.
+    //     h_conted_{t-1} := cont_t * h_{t-1}
+    //
+    // Normally, cont_t is binary (i.e., 0 or 1), so:
+    //     h_conted_{t-1} := h_{t-1} if cont_t == 1
+    //                       0   otherwise
+    {
+      LayerParameter* cont_h_param = net_param->add_layer();
+      cont_h_param->CopyFrom(scale_param);
+      cont_h_param->set_name("h_conted_" + tm1s);
+      cont_h_param->add_bottom("h_" + tm1s);
+      cont_h_param->add_bottom("cont_" + ts);
+      cont_h_param->add_top("h_conted_" + tm1s);
+    }
+
+    // Add layer to compute
+    //     W_hh_h_{t-1} := W_hh * h_conted_{t-1}
+    {
+      LayerParameter* w_param = net_param->add_layer();
+      w_param->CopyFrom(hidden_param);
+      w_param->set_name("W_hh_h_" + tm1s);
+      w_param->add_param()->set_name("W_hh");
+      w_param->add_bottom("h_conted_" + tm1s);
+      w_param->add_top("W_hh_h_" + tm1s);
+      w_param->mutable_inner_product_param()->set_axis(2);
+    }
+
+    // Add layers to compute
+    //     h_t := \tanh( W_hh * h_conted_{t-1} + W_xh * x_t + b_h )
+    //          = \tanh( W_hh_h_{t-1} + W_xh_t )
+    {
+      LayerParameter* h_input_sum_param = net_param->add_layer();
+      h_input_sum_param->CopyFrom(sum_param);
+      h_input_sum_param->set_name("h_input_sum_" + ts);
+      h_input_sum_param->add_bottom("W_hh_h_" + tm1s);
+      h_input_sum_param->add_bottom("W_xh_x_" + ts);
+      if (this->static_input_) {
+        h_input_sum_param->add_bottom("W_xh_x_static");
+      }
+      h_input_sum_param->add_top("h_neuron_input_" + ts);
+    }
+    {
+      LayerParameter* h_neuron_param = net_param->add_layer();
+      h_neuron_param->CopyFrom(tanh_param);
+      h_neuron_param->set_name("h_neuron_" + ts);
+      h_neuron_param->add_bottom("h_neuron_input_" + ts);
+      h_neuron_param->add_top("h_" + ts);
+    }
+
+    // Add layer to compute
+    //     W_ho_h_t := W_ho * h_t + b_o
+    {
+      LayerParameter* w_param = net_param->add_layer();
+      w_param->CopyFrom(biased_hidden_param);
+      w_param->set_name("W_ho_h_" + ts);
+      w_param->add_param()->set_name("W_ho");
+      w_param->add_param()->set_name("b_o");
+      w_param->add_bottom("h_" + ts);
+      w_param->add_top("W_ho_h_" + ts);
+      w_param->mutable_inner_product_param()->set_axis(2);
+    }
+
+    // Add layers to compute
+    //     o_t := \tanh( W_ho * h_t + b_o)
+    //          = \tanh( W_ho_h_t )
+    {
+      LayerParameter* o_neuron_param = net_param->add_layer();
+      o_neuron_param->CopyFrom(tanh_param);
+      o_neuron_param->set_name("o_neuron_" + ts);
+      o_neuron_param->add_bottom("W_ho_h_" + ts);
+      o_neuron_param->add_top("o_" + ts);
+    }
+    output_concat_layer.add_bottom("o_" + ts);
+  }  // for (int t = 1; t <= this->T_; ++t)
+
+  net_param->add_layer()->CopyFrom(output_concat_layer);
+}
+
+INSTANTIATE_CLASS_FB(RNNLayer);
+REGISTER_LAYER_CLASS(RNN);
+
+}  // namespace caffe
diff --git a/src/caffe/layers/scale_layer.cpp b/src/caffe/layers/scale_layer.cpp
index e9045f8b779..200ed680d3f 100644
--- a/src/caffe/layers/scale_layer.cpp
+++ b/src/caffe/layers/scale_layer.cpp
@@ -4,7 +4,7 @@
 #include "caffe/filler.hpp"
 #include "caffe/layer_factory.hpp"
 #include "caffe/layers/scale_layer.hpp"
-#include "caffe/util/math_functions.hpp"
+#include "caffe/net.hpp"
 
 namespace caffe {
 
@@ -53,7 +53,7 @@ void ScaleLayer<Ftype, Btype>::LayerSetUp(const vector<Blob*>& bottom,
       bias_param->set_num_axes(param.num_axes());
     }
     bias_param->mutable_filler()->CopyFrom(param.bias_filler());
-    bias_layer_ = LayerRegistry::CreateLayer(layer_param, 0UL);
+    bias_layer_ = LayerRegistry::CreateLayer(layer_param, this->parent_rank());
     bias_bottom_vec_.resize(1);
     bias_bottom_vec_[0] = bottom[0];
     bias_layer_->SetUp(bias_bottom_vec_, top);
diff --git a/src/caffe/layers/slice_layer.cu b/src/caffe/layers/slice_layer.cu
index 0c6eb8a8fb7..d7a7c13ba7b 100644
--- a/src/caffe/layers/slice_layer.cu
+++ b/src/caffe/layers/slice_layer.cu
@@ -42,9 +42,9 @@ void SliceLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
         <<<CAFFE_GET_BLOCKS(nthreads), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
         nthreads, bottom_data, kForward, num_slices_, slice_size_,
         bottom_slice_axis, top_slice_axis, offset_slice_axis, top_data);
+    CUDA_CHECK(cudaStreamSynchronize(stream));
     offset_slice_axis += top_slice_axis;
   }
-  CUDA_CHECK(cudaStreamSynchronize(stream));
 }
 
 template <typename Ftype, typename Btype>
@@ -55,15 +55,17 @@ void SliceLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
   Btype* bottom_diff = bottom[0]->mutable_gpu_diff<Btype>();
   const int bottom_slice_axis = bottom[0]->shape(slice_axis_);
   const bool kForward = false;
+  cudaStream_t stream = Caffe::thread_stream();
   for (int i = 0; i < top.size(); ++i) {
     const Btype* top_diff = top[i]->gpu_diff<Btype>();
     const int top_slice_axis = top[i]->shape(slice_axis_);
     const int top_slice_size = top_slice_axis * slice_size_;
     const int nthreads = top_slice_size * num_slices_;
     Slice  // NOLINT_NEXT_LINE(whitespace/operators)
-        <<<CAFFE_GET_BLOCKS(nthreads), CAFFE_CUDA_NUM_THREADS, 0, Caffe::thread_stream()>>>(
+        <<<CAFFE_GET_BLOCKS(nthreads), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
         nthreads, top_diff, kForward, num_slices_, slice_size_,
         bottom_slice_axis, top_slice_axis, offset_slice_axis, bottom_diff);
+    CUDA_CHECK(cudaStreamSynchronize(stream));
     offset_slice_axis += top_slice_axis;
   }
 }
diff --git a/src/caffe/layers/smooth_L1_loss_layer.cpp b/src/caffe/layers/smooth_L1_loss_layer.cpp
new file mode 100644
index 00000000000..6cfea641e51
--- /dev/null
+++ b/src/caffe/layers/smooth_L1_loss_layer.cpp
@@ -0,0 +1,104 @@
+// ------------------------------------------------------------------
+// Fast R-CNN
+// copyright (c) 2015 Microsoft
+// Licensed under The MIT License [see fast-rcnn/LICENSE for details]
+// Written by Ross Girshick
+// Modified by Wei Liu
+// ------------------------------------------------------------------
+
+#include <vector>
+
+#include "caffe/layers/smooth_L1_loss_layer.hpp"
+#include "caffe/util/math_functions.hpp"
+
+namespace caffe {
+
+template <typename Ftype, typename Btype>
+void SmoothL1LossLayer<Ftype, Btype>::LayerSetUp(
+  const vector<Blob*>& bottom, const vector<Blob*>& top) {
+  LossLayer<Ftype, Btype>::LayerSetUp(bottom, top);
+  has_weights_ = (bottom.size() == 3);
+}
+
+template <typename Ftype, typename Btype>
+void SmoothL1LossLayer<Ftype, Btype>::Reshape(
+  const vector<Blob*>& bottom, const vector<Blob*>& top) {
+  LossLayer<Ftype, Btype>::Reshape(bottom, top);
+  CHECK_EQ(bottom[0]->channels(), bottom[1]->channels());
+  CHECK_EQ(bottom[0]->height(), bottom[1]->height());
+  CHECK_EQ(bottom[0]->width(), bottom[1]->width());
+  if (has_weights_) {
+    CHECK_EQ(bottom[0]->channels(), bottom[2]->channels());
+    CHECK_EQ(bottom[0]->height(), bottom[2]->height());
+    CHECK_EQ(bottom[0]->width(), bottom[2]->width());
+  }
+  diff_.Reshape(bottom[0]->num(), bottom[0]->channels(),
+      bottom[0]->height(), bottom[0]->width());
+  errors_.Reshape(bottom[0]->num(), bottom[0]->channels(),
+      bottom[0]->height(), bottom[0]->width());
+}
+
+template <typename Ftype, typename Btype>
+void SmoothL1LossLayer<Ftype, Btype>::Forward_cpu(const vector<Blob*>& bottom,
+    const vector<Blob*>& top) {
+  int count = bottom[0]->count();
+  caffe_sub(
+      count,
+      bottom[0]->cpu_data<Dtype>(),
+      bottom[1]->cpu_data<Dtype>(),
+      diff_.mutable_cpu_data());
+  if (has_weights_) {
+    caffe_mul(
+        count,
+        bottom[2]->cpu_data<Dtype>(),
+        diff_.cpu_data(),
+        diff_.mutable_cpu_data());  // d := w * (b0 - b1)
+  }
+  const Dtype* diff_data = diff_.cpu_data();
+  Dtype* error_data = errors_.mutable_cpu_data();
+  for (int i = 0; i < count; ++i) {
+    Dtype val = diff_data[i];
+    Dtype abs_val = fabs(val);
+    if (abs_val < 1.) {
+      error_data[i] = 0.5 * val * val;
+    } else {
+      error_data[i] = abs_val - 0.5;
+    }
+  }
+  top[0]->mutable_cpu_data<Dtype>()[0] =
+      caffe_cpu_asum(count, errors_.cpu_data()) / bottom[0]->num();
+}
+
+template <typename Ftype, typename Btype>
+void SmoothL1LossLayer<Ftype, Btype>::Backward_cpu(const vector<Blob*>& top,
+    const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
+  int count = diff_.count();
+  Dtype* diff_data = diff_.mutable_cpu_data();
+  for (int i = 0; i < count; ++i) {
+    Dtype val = diff_data[i];
+    // f'(x) = x         if |x| < 1
+    //       = sign(x)   otherwise
+    if (fabs(val) < 1.) {
+      diff_data[i] = val;
+    } else {
+      diff_data[i] = (Dtype(0) < val) - (val < Dtype(0));
+    }
+  }
+  for (int i = 0; i < 2; ++i) {
+    if (propagate_down[i]) {
+      const Dtype sign = (i == 0) ? 1 : -1;
+      const Dtype alpha = sign * top[0]->cpu_diff<Dtype>()[0] / bottom[i]->num();
+      caffe_cpu_axpby(
+          bottom[i]->count(),               // count
+          alpha,                            // alpha
+          diff_.cpu_data(),                 // a
+          Dtype(0),                         // beta
+          bottom[i]->mutable_cpu_diff<Dtype>());   // b
+    }
+  }
+}
+
+INSTANTIATE_CLASS_FB(SmoothL1LossLayer);
+REGISTER_LAYER_CLASS(SmoothL1Loss);
+
+}  // namespace caffe
diff --git a/src/caffe/layers/smooth_L1_loss_layer.cu b/src/caffe/layers/smooth_L1_loss_layer.cu
new file mode 100644
index 00000000000..244766c03c1
--- /dev/null
+++ b/src/caffe/layers/smooth_L1_loss_layer.cu
@@ -0,0 +1,96 @@
+// ------------------------------------------------------------------
+// Fast R-CNN
+// copyright (c) 2015 Microsoft
+// Licensed under The MIT License [see fast-rcnn/LICENSE for details]
+// Written by Ross Girshick
+// Modified by Wei Liu
+// ------------------------------------------------------------------
+
+#include <vector>
+
+#include "caffe/layers/smooth_L1_loss_layer.hpp"
+#include "caffe/util/math_functions.hpp"
+
+namespace caffe {
+
+template <typename Dtype>
+__global__ void SmoothL1Forward(const int n, const Dtype* in, Dtype* out) {
+  // f(x) = 0.5 * x^2    if |x| < 1
+  //        |x| - 0.5    otherwise
+  CUDA_KERNEL_LOOP(index, n) {
+    Dtype val = in[index];
+    Dtype abs_val = abs(val);
+    if (abs_val < 1) {
+      out[index] = 0.5 * val * val;
+    } else {
+      out[index] = abs_val - 0.5;
+    }
+  }
+}
+
+template <typename Ftype, typename Btype>
+void SmoothL1LossLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
+    const vector<Blob*>& top) {
+  int count = bottom[0]->count();
+  caffe_gpu_sub(
+      count,
+      bottom[0]->gpu_data<Dtype>(),
+      bottom[1]->gpu_data<Dtype>(),
+      diff_.mutable_gpu_data());    // d := b0 - b1
+  if (has_weights_) {
+    caffe_gpu_mul(
+        count,
+        bottom[2]->gpu_data<Dtype>(),
+        diff_.gpu_data(),
+        diff_.mutable_gpu_data());  // d := w * (b0 - b1)
+  }
+  // NOLINT_NEXT_LINE(whitespace/operators)
+  SmoothL1Forward<Dtype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS>>>(
+      count, diff_.gpu_data(), errors_.mutable_gpu_data());
+  CUDA_POST_KERNEL_CHECK;
+
+  Dtype loss;
+  caffe_gpu_asum(count, errors_.gpu_data(), &loss, 0);
+  top[0]->mutable_cpu_data<Dtype>()[0] = loss / bottom[0]->num();
+}
+
+template <typename Dtype>
+__global__ void SmoothL1Backward(const int n, const Dtype* in, Dtype* out) {
+  // f'(x) = x         if |x| < 1
+  //       = sign(x)   otherwise
+  CUDA_KERNEL_LOOP(index, n) {
+    Dtype val = in[index];
+    Dtype abs_val = abs(val);
+    if (abs_val < 1) {
+      out[index] = val;
+    } else {
+      out[index] = (Dtype(0) < val) - (val < Dtype(0));
+    }
+  }
+}
+
+template <typename Ftype, typename Btype>
+void SmoothL1LossLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
+    const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
+  int count = diff_.count();
+  // NOLINT_NEXT_LINE(whitespace/operators)
+  SmoothL1Backward<Dtype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS>>>(
+      count, diff_.gpu_data(), diff_.mutable_gpu_data());
+  CUDA_POST_KERNEL_CHECK;
+  for (int i = 0; i < 2; ++i) {
+    if (propagate_down[i]) {
+      const Dtype sign = (i == 0) ? 1 : -1;
+      const Dtype alpha = sign * top[0]->cpu_diff<Dtype>()[0] / bottom[i]->num();
+      caffe_gpu_axpby(
+          bottom[i]->count(),              // count
+          alpha,                           // alpha
+          diff_.gpu_data(),                // x
+          Dtype(0),                        // beta
+          bottom[i]->mutable_gpu_diff<Dtype>());  // y
+    }
+  }
+}
+
+INSTANTIATE_LAYER_GPU_FUNCS_FB(SmoothL1LossLayer);
+
+}  // namespace caffe
diff --git a/src/caffe/layers/video_data_layer.cpp b/src/caffe/layers/video_data_layer.cpp
new file mode 100644
index 00000000000..fd45c397220
--- /dev/null
+++ b/src/caffe/layers/video_data_layer.cpp
@@ -0,0 +1,157 @@
+#include <opencv2/core/core.hpp>
+#include <opencv2/highgui/highgui.hpp>
+
+#include <stdint.h>
+#include <algorithm>
+#include <csignal>
+#include <map>
+#include <string>
+#include <vector>
+
+#include "caffe/data_transformer.hpp"
+#include "caffe/layers/video_data_layer.hpp"
+#include "caffe/util/benchmark.hpp"
+
+namespace caffe {
+
+template <typename Ftype, typename Btype>
+VideoDataLayer<Ftype, Btype>::VideoDataLayer(const LayerParameter& param, size_t solver_rank)
+  : BasePrefetchingDataLayer<Ftype, Btype>(param, solver_rank) {}
+
+template <typename Ftype, typename Btype>
+VideoDataLayer<Ftype, Btype>::~VideoDataLayer() {
+  this->StopInternalThread();
+  if (cap_.isOpened()) {
+    cap_.release();
+  }
+}
+
+template <typename Ftype, typename Btype>
+void VideoDataLayer<Ftype, Btype>::DataLayerSetUp(
+    const vector<Blob*>& bottom, const vector<Blob*>& top) {
+  const int batch_size = this->layer_param_.data_param().batch_size();
+  const VideoDataParameter& video_data_param =
+      this->layer_param_.video_data_param();
+  video_type_ = video_data_param.video_type();
+  skip_frames_ = video_data_param.skip_frames();
+  CHECK_GE(skip_frames_, 0);
+  TBlob<Btype> transformed_datum;
+  // Read an image, and use it to initialize the top blob.
+  cv::Mat cv_img;
+  if (video_type_ == VideoDataParameter_VideoType_WEBCAM) {
+    const int device_id = video_data_param.device_id();
+    if (!cap_.open(device_id)) {
+      LOG(FATAL) << "Failed to open webcam: " << device_id;
+    }
+    cap_ >> cv_img;
+  } else if (video_type_ == VideoDataParameter_VideoType_VIDEO) {
+    CHECK(video_data_param.has_video_file()) << "Must provide video file!";
+    const string& video_file = video_data_param.video_file();
+    if (!cap_.open(video_file)) {
+      LOG(FATAL) << "Failed to open video: " << video_file;
+    }
+    total_frames_ = cap_.get(CV_CAP_PROP_FRAME_COUNT);
+    processed_frames_ = 0;
+    // Read image to infer shape.
+    cap_ >> cv_img;
+    // Set index back to the first frame.
+    cap_.set(CV_CAP_PROP_POS_FRAMES, 0);
+  } else {
+    LOG(FATAL) << "Unknow video type!";
+  }
+  CHECK(cv_img.data) << "Could not load image!";
+  // Use data_transformer to infer the expected blob shape from a cv_image.
+  top_shape_ = this->bdt(0)->InferBlobShape(cv_img);
+  transformed_datum.Reshape(top_shape_);
+  top_shape_[0] = batch_size;
+  top[0]->Reshape(top_shape_);
+  vector<int> label_shape(1, batch_size);
+  LOG(INFO) << "output data size: " << top[0]->num() << ","
+      << top[0]->channels() << "," << top[0]->height() << ","
+      << top[0]->width();
+  // label
+  if (this->output_labels_) {
+    top[1]->Reshape(label_shape);
+  }
+  this->batch_transformer_->reshape(top_shape_, label_shape, this->is_gpu_transform());
+}
+
+// This function is called on prefetch thread
+template <typename Ftype, typename Btype>
+void VideoDataLayer<Ftype, Btype>::load_batch(Batch* batch, int thread_id, size_t queue_id) {
+  CPUTimer batch_timer;
+  batch_timer.Start();
+  double read_time = 0;
+  double trans_time = 0;
+  CPUTimer timer;
+  CHECK(batch->data_->count());
+  TBlob<Btype> transformed_datum;
+
+  // Reshape according to the first anno_datum of each batch
+  // on single input batches allows for inputs of varying dimension.
+  const int batch_size = this->layer_param_.data_param().batch_size();
+  top_shape_[0] = 1;
+  transformed_datum.Reshape(top_shape_);
+  // Reshape batch according to the batch_size.
+  top_shape_[0] = batch_size;
+  batch->data_->Reshape(top_shape_);
+
+  Ftype* top_data = batch->data_->mutable_cpu_data<Ftype>();
+  Ftype* top_label = NULL;  // suppress warnings about uninitialized variables
+  if (this->output_labels_) {
+    top_label = batch->label_->mutable_cpu_data<Ftype>();
+  }
+
+  int skip_frames = skip_frames_;
+  for (int item_id = 0; item_id < batch_size; ++item_id) {
+    timer.Start();
+    cv::Mat cv_img;
+    if (video_type_ == VideoDataParameter_VideoType_WEBCAM) {
+      cap_ >> cv_img;
+    } else if (video_type_ == VideoDataParameter_VideoType_VIDEO) {
+      if (processed_frames_ >= total_frames_) {
+        LOG(INFO) << "Finished processing video.";
+        raise(SIGINT);
+      }
+      ++processed_frames_;
+      cap_ >> cv_img;
+    } else {
+      LOG(FATAL) << "Unknown video type.";
+    }
+    CHECK(cv_img.data) << "Could not load image!";
+    read_time += timer.MicroSeconds();
+    if (skip_frames > 0) {
+      --skip_frames;
+      --item_id;
+    } else {
+      skip_frames = skip_frames_;
+      timer.Start();
+      // Apply transformations (mirror, crop...) to the image
+      int offset = batch->data_->offset(item_id);
+      transformed_datum.set_cpu_data(top_data + offset);
+      this->bdt(0)->Transform(cv_img, &(transformed_datum));
+      trans_time += timer.MicroSeconds();
+    }
+    CHECK(cv_img.data) << "Could not load image!";
+    read_time += timer.MicroSeconds();
+    timer.Start();
+    // Apply transformations (mirror, crop...) to the image
+    int offset = batch->data_->offset(item_id);
+    transformed_datum.set_cpu_data(top_data + offset);
+    this->bdt(0)->Transform(cv_img, &(transformed_datum));
+    trans_time += timer.MicroSeconds();
+    if (this->output_labels_) {
+      top_label[item_id] = 0;
+    }
+  }
+  timer.Stop();
+  batch_timer.Stop();
+  DLOG(INFO) << "Prefetch batch: " << batch_timer.MilliSeconds() << " ms.";
+  DLOG(INFO) << "     Read time: " << read_time / 1000 << " ms.";
+  DLOG(INFO) << "Transform time: " << trans_time / 1000 << " ms.";
+}
+
+INSTANTIATE_CLASS_FB(VideoDataLayer);
+REGISTER_LAYER_CLASS_R(VideoData);
+
+}  // namespace caffe
diff --git a/src/caffe/net.cpp b/src/caffe/net.cpp
index d99b89b0fdc..065a4b27b86 100644
--- a/src/caffe/net.cpp
+++ b/src/caffe/net.cpp
@@ -25,12 +25,14 @@ Net::Net(const NetParameter& param,
     size_t solver_rank,
     Flag* solver_init_flag,
     Flag* solver_iter0_flag,
-    const Net* root_net)
+    const Net* root_net,
+    bool inner_net)
     : root_net_(root_net),
       solver_(nullptr),
       solver_rank_(solver_rank),
       solver_init_flag_(solver_init_flag),
-      solver_iter0_flag_(solver_iter0_flag) {
+      solver_iter0_flag_(solver_iter0_flag),
+      inner_net_(inner_net) {
   Init(param);
 }
 
@@ -39,12 +41,14 @@ Net::Net(const string& param_file,
     size_t solver_rank,
     Flag* solver_init_flag,
     Flag* solver_iter0_flag,
-    const Net* root_net)
+    const Net* root_net,
+    bool inner_net)
     : root_net_(root_net),
       solver_(nullptr),
       solver_rank_(solver_rank),
       solver_init_flag_(solver_init_flag),
-      solver_iter0_flag_(solver_iter0_flag) {
+      solver_iter0_flag_(solver_iter0_flag),
+      inner_net_(inner_net) {
   NetParameter param;
   ReadNetParamsFromTextFileOrDie(param_file, &param);
   param.mutable_state()->set_phase(phase);
@@ -55,7 +59,7 @@ Net::~Net() {
 }
 
 void Net::Init(const NetParameter& in_param) {
-  CHECK(Caffe::root_solver() || root_net_)
+  CHECK(inner_net_ || Caffe::root_solver() || root_net_)
       << "root_net_ needs to be set for all non-root solvers";
   // Set phase from the state.
   phase_ = in_param.state().phase();
@@ -111,7 +115,7 @@ void Net::Init(const NetParameter& in_param) {
 
   for (int layer_id = 0; layer_id < param.layer_size(); ++layer_id) {
     // For non-root solvers, whether this layer is shared from root_net_.
-    bool share_from_root = !Caffe::root_solver()
+    bool share_from_root = !inner_net_ && !Caffe::root_solver()
         && root_net_->layers_[layer_id]->ShareInParallel();
 
     const LayerParameter& layer_param = param.layer(layer_id);
@@ -242,6 +246,7 @@ void Net::Init(const NetParameter& in_param) {
             << layer_param.name();
       }
     } else {
+      layers_[layer_id]->set_parent_net(this);
       layers_[layer_id]->SetUp(bottom_vecs_[layer_id], top_vecs_[layer_id]);
     }
     LOG_IF(INFO, Caffe::root_solver())
@@ -1318,7 +1323,7 @@ void Net::ShareWeights() {
       gpu_prm_memory_diff_use_ += params_[i]->gpu_memory_diff_use();
       continue;
     }
-    DLOG(INFO) << "param " << i << " has owner " << param_owners_[i];
+//    DLOG(INFO) << "param " << i << " has owner " << param_owners_[i];
     params_[i]->ShareData(*params_[param_owners_[i]]);
     params_[i]->ShareDiff(*params_[param_owners_[i]]);
     gpu_shp_memory_data_use_ += params_[i]->gpu_memory_data_use();
diff --git a/src/caffe/proto/caffe.proto b/src/caffe/proto/caffe.proto
index 182021850cc..60384239525 100644
--- a/src/caffe/proto/caffe.proto
+++ b/src/caffe/proto/caffe.proto
@@ -9,6 +9,7 @@ enum Type {
   FLOAT16 = 2;
   INT = 3;  // math not supported
   UINT = 4;  // math not supported
+  BOOL = 5; //math not supported
 }
 
 enum Packing {
@@ -60,6 +61,127 @@ message Datum {
   optional uint32 record_id = 8 [default = 0];
 }
 
+// The label (display) name and label id.
+message LabelMapItem {
+  // Both name and label are required.
+  optional string name = 1;
+  optional int32 label = 2;
+  // display_name is optional.
+  optional string display_name = 3;
+}
+
+message LabelMap {
+  repeated LabelMapItem item = 1;
+}
+
+// Sample a bbox in the normalized space [0, 1] with provided constraints.
+message Sampler {
+  // Minimum scale of the sampled bbox.
+  optional float min_scale = 1 [default = 1.];
+  // Maximum scale of the sampled bbox.
+  optional float max_scale = 2 [default = 1.];
+
+  // Minimum aspect ratio of the sampled bbox.
+  optional float min_aspect_ratio = 3 [default = 1.];
+  // Maximum aspect ratio of the sampled bbox.
+  optional float max_aspect_ratio = 4 [default = 1.];
+}
+
+// Constraints for selecting sampled bbox.
+message SampleConstraint {
+  // Minimum Jaccard overlap between sampled bbox and all bboxes in
+  // AnnotationGroup.
+  optional float min_jaccard_overlap = 1;
+  // Maximum Jaccard overlap between sampled bbox and all bboxes in
+  // AnnotationGroup.
+  optional float max_jaccard_overlap = 2;
+
+  // Minimum coverage of sampled bbox by all bboxes in AnnotationGroup.
+  optional float min_sample_coverage = 3;
+  // Maximum coverage of sampled bbox by all bboxes in AnnotationGroup.
+  optional float max_sample_coverage = 4;
+
+  // Minimum coverage of all bboxes in AnnotationGroup by sampled bbox.
+  optional float min_object_coverage = 5;
+  // Maximum coverage of all bboxes in AnnotationGroup by sampled bbox.
+  optional float max_object_coverage = 6;
+}
+
+// Sample a batch of bboxes with provided constraints.
+message BatchSampler {
+  // Use original image as the source for sampling.
+  optional bool use_original_image = 1 [default = true];
+
+  // Constraints for sampling bbox.
+  optional Sampler sampler = 2;
+
+  // Constraints for determining if a sampled bbox is positive or negative.
+  optional SampleConstraint sample_constraint = 3;
+
+  // If provided, break when found certain number of samples satisfing the
+  // sample_constraint.
+  optional uint32 max_sample = 4;
+
+  // Maximum number of trials for sampling to avoid infinite loop.
+  optional uint32 max_trials = 5 [default = 100];
+}
+
+// Condition for emitting annotations.
+message EmitConstraint {
+  enum EmitType {
+    CENTER = 0;
+    MIN_OVERLAP = 1;
+  }
+  optional EmitType emit_type = 1 [default = CENTER];
+  // If emit_type is MIN_OVERLAP, provide the emit_overlap.
+  optional float emit_overlap = 2;
+}
+
+// The normalized bounding box [0, 1] w.r.t. the input image size.
+message NormalizedBBox {
+  optional float xmin = 1;
+  optional float ymin = 2;
+  optional float xmax = 3;
+  optional float ymax = 4;
+  optional int32 label = 5;
+  optional bool difficult = 6;
+  optional float score = 7;
+  optional float size = 8;
+}
+
+// Annotation for each object instance.
+message Annotation {
+  optional int32 instance_id = 1 [default = 0];
+  optional NormalizedBBox bbox = 2;
+}
+
+// Group of annotations for a particular label.
+message AnnotationGroup {
+  optional int32 group_label = 1;
+  repeated Annotation annotation = 2;
+}
+
+// An extension of Datum which contains "rich" annotations.
+message AnnotatedDatum {
+  enum AnnotationType {
+    BBOX = 0;
+  }
+  optional Datum datum = 1;
+  // If there are "rich" annotations, specify the type of annotation.
+  // Currently it only supports bounding box.
+  // If there are no "rich" annotations, use label in datum instead.
+  optional AnnotationType type = 2;
+  // Each group contains annotation for a particular class.
+  repeated AnnotationGroup annotation_group = 3;
+  // Unique record index assigned by Reader
+  optional uint32 record_id = 4 [default = 0];  
+}
+
+enum DatumTypeInfo {
+  DatumTypeInfo_DATUM = 0;
+  DatumTypeInfo_ANNOTATED_DATUM = 1;
+}
+
 // Caffe 2 datasets support
 message C2TensorProto {
   // The dimensions in the tensor.
@@ -239,6 +361,17 @@ message SolverParameter {
   optional NetState train_state = 26;
   repeated NetState test_state = 27;
 
+  // Evaluation type.
+  optional string eval_type = 241 [default = "classification"];
+  // ap_version: different ways of computing Average Precision.
+  //    Check https://sanchom.wordpress.com/tag/average-precision/ for details.
+  //    11point: the 11-point interpolated average precision. Used in VOC2007.
+  //    MaxIntegral: maximally interpolated AP. Used in VOC2012/ILSVRC.
+  //    Integral: the natural integral of the precision-recall curve.
+  optional string ap_version = 242 [default = "Integral"];
+  // If true, display per class result.
+  optional bool show_per_class_result = 244 [default = false];
+
   // The number of iterations for each test net.
   repeated int32 test_iter = 3;
 
@@ -276,6 +409,8 @@ message SolverParameter {
   //      zero by the max_iter. return base_lr (1 - iter/max_iter) ^ (power)
   //    - sigmoid: the effective learning rate follows a sigmod decay
   //      return base_lr ( 1/(1 + exp(-gamma * (iter - stepsize))))
+  //    - plateau: decreases lr
+  //              if the minimum loss isn't updated for 'plateau_winsize' iters
   //
   // where base_lr, max_iter, gamma, step, stepvalue and power are defined
   // in the solver parameter protocol buffer, and iter is the current iteration.
@@ -304,6 +439,8 @@ message SolverParameter {
   optional int32 stepsize = 13;
   // the stepsize for learning rate policy "multistep"
   repeated int32 stepvalue = 34;
+  // the stepsize for learning rate policy "plateau"
+  repeated int32 plateau_winsize = 243;
 
   // Set clip_gradients to >= 0 to clip parameter gradients to that L2 norm,
   // whenever their actual L2 norm is larger.
@@ -380,6 +517,8 @@ message SolverState {
   optional string learned_net = 2; // The file that stores the learned net.
   repeated BlobProto history = 3; // The history for sgd solvers
   optional int32 current_step = 4 [default = 0]; // The current step for learning rate
+  optional float minimum_loss = 5 [default = 1E38]; // Historical minimum loss
+  optional int32 iter_last_event = 6 [default = 0]; // The iteration when last lr-update or min_loss-update happend
 }
 
 enum Phase {
@@ -439,7 +578,7 @@ message ParamSpec {
 // NOTE
 // Update the next available ID when you add a new LayerParameter field.
 //
-// LayerParameter next available layer-specific ID: 151 (last added: cudnn_math_override)
+// LayerParameter next available layer-specific ID: 152 (last added: recurrent_param)
 message LayerParameter {
   optional string name = 1; // the layer name
   optional string type = 2; // the layer type
@@ -512,6 +651,7 @@ message LayerParameter {
   // engine parameter for selecting the implementation.
   // The default for the engine is set by the ENGINE switch at compile-time.
   optional AccuracyParameter accuracy_param = 102;
+  optional AnnotatedDataParameter annotated_data_param = 200;
   optional ArgMaxParameter argmax_param = 103;
   optional BatchNormParameter batch_norm_param = 139;
   optional BiasParameter bias_param = 141;
@@ -520,6 +660,8 @@ message LayerParameter {
   optional ConvolutionParameter convolution_param = 106;
   optional CropParameter crop_param = 144;
   optional DataParameter data_param = 107;
+  optional DetectionEvaluateParameter detection_evaluate_param = 205;
+  optional DetectionOutputParameter detection_output_param = 204;
   optional DropoutParameter dropout_param = 108;
   optional DummyDataParameter dummy_data_param = 109;
   optional EltwiseParameter eltwise_param = 110;
@@ -537,10 +679,14 @@ message LayerParameter {
   optional LogParameter log_param = 134;
   optional LRNParameter lrn_param = 118;
   optional MemoryDataParameter memory_data_param = 119;
+  optional MultiBoxLossParameter multibox_loss_param = 201;
   optional MVNParameter mvn_param = 120;
+  optional NormalizeParameter norm_param = 206;
+  optional PermuteParameter permute_param = 202;
   optional PoolingParameter pooling_param = 121;
   optional PowerParameter power_param = 122;
   optional PReLUParameter prelu_param = 131;
+  optional PriorBoxParameter prior_box_param = 203;
   optional PythonParameter python_param = 130;
   optional ReductionParameter reduction_param = 136;
   optional ReLUParameter relu_param = 123;
@@ -553,7 +699,9 @@ message LayerParameter {
   optional TanHParameter tanh_param = 127;
   optional ThresholdParameter threshold_param = 128;
   optional TileParameter tile_param = 138;
+  optional VideoDataParameter video_data_param = 207;
   optional WindowDataParameter window_data_param = 129;
+  optional RecurrentParameter recurrent_param = 151;
 
   // NVIDIA PARAMETERS (Start with 68 because NV is 68 on an old-style phone)
   optional DetectNetGroundTruthParameter detectnet_groundtruth_param = 6801;
@@ -638,6 +786,9 @@ message TransformationParameter {
   optional bool mirror = 2 [default = false];
   // Specify if we would like to randomly crop an image.
   optional uint32 crop_size = 3 [default = 0];
+  optional uint32 crop_h = 211 [default = 0];
+  optional uint32 crop_w = 212 [default = 0];
+
   // mean_file and mean_value cannot be specified at the same time
   optional string mean_file = 4;
   // if specified can be repeated once (would substract it from all the channels)
@@ -656,6 +807,20 @@ message TransformationParameter {
   // random number generator would be initialized -- useful for reproducible results.
   // Otherwise, (and by default) initialize using a seed derived from the system clock.
   optional int64 random_seed = 9 [default = -1];
+
+  optional bool display = 22 [default = false];
+  optional int32 num_labels = 23 [default = 0];
+  
+  // Resize policy
+  optional ResizeParameter resize_param = 208;
+  // Noise policy
+  optional NoiseParameter noise_param = 209;
+  // Distortion policy
+  optional DistortionParameter distort_param = 213;
+  // Expand policy
+  optional ExpansionParameter expand_param = 214;
+  // Constraint for emitting the annotation after transformation.
+  optional EmitConstraint emit_constraint = 210;  
 }
 // Message that stores parameters used to create gridbox ground truth
 message DetectNetGroundTruthParameter {
@@ -729,6 +894,142 @@ message DetectNetAugmentationParameter {
   //  desaturation augmentation off.
   optional float desaturation_prob = 12 [default = 0.33];
   optional float desaturation_max = 13 [default = 0.5];
+  
+  // Resize policy
+  optional ResizeParameter resize_param = 208;
+  // Noise policy
+  optional NoiseParameter noise_param = 209;
+  // Distortion policy
+  optional DistortionParameter distort_param = 213;
+  // Expand policy
+  optional ExpansionParameter expand_param = 214;
+  // Constraint for emitting the annotation after transformation.
+  optional EmitConstraint emit_constraint = 210;  
+}
+
+// Message that stores parameters used by data transformer for resize policy
+message ResizeParameter {
+  //Probability of using this resize policy
+  optional float prob = 1 [default = 1];
+
+  enum Resize_mode {
+    WARP = 1;
+    FIT_SMALL_SIZE = 2;
+    FIT_LARGE_SIZE_AND_PAD = 3;
+  }
+  optional Resize_mode resize_mode = 2 [default = WARP];
+  optional uint32 height = 3 [default = 0];
+  optional uint32 width = 4 [default = 0];
+  // A parameter used to update bbox in FIT_SMALL_SIZE mode.
+  optional uint32 height_scale = 8 [default = 0];
+  optional uint32 width_scale = 9 [default = 0];
+
+  enum Pad_mode {
+    CONSTANT = 1;
+    MIRRORED = 2;
+    REPEAT_NEAREST = 3;
+  }
+  // Padding mode for BE_SMALL_SIZE_AND_PAD mode and object centering
+  optional Pad_mode pad_mode = 5 [default = CONSTANT];
+  // if specified can be repeated once (would fill all the channels)
+  // or can be repeated the same number of times as channels
+  // (would use it them to the corresponding channel)
+  repeated float pad_value = 6;
+
+  enum Interp_mode { //Same as in OpenCV
+    LINEAR = 1;
+    AREA = 2;
+    NEAREST = 3;
+    CUBIC = 4;
+    LANCZOS4 = 5;
+  }
+  //interpolation for for resizing
+  repeated Interp_mode interp_mode = 7;
+}
+
+message SaltPepperParameter {
+  //Percentage of pixels
+  optional float fraction = 1 [default = 0];
+  repeated float value = 2;
+}
+
+// Message that stores parameters used by data transformer for transformation
+// policy
+message NoiseParameter {
+  //Probability of using this resize policy
+  optional float prob = 1 [default = 0];
+  // Histogram equalized
+  optional bool hist_eq = 2 [default = false];
+  // Color inversion
+  optional bool inverse = 3 [default = false];
+  // Grayscale
+  optional bool decolorize = 4 [default = false];
+  // Gaussian blur
+  optional bool gauss_blur = 5 [default = false];
+
+  // JPEG compression quality (-1 = no compression)
+  optional float jpeg = 6 [default = -1];
+
+  // Posterization
+  optional bool posterize = 7 [default = false];
+
+  // Erosion
+  optional bool erode = 8 [default = false];
+
+  // Salt-and-pepper noise
+  optional bool saltpepper = 9 [default = false];
+
+  optional SaltPepperParameter saltpepper_param = 10;
+
+  // Local histogram equalization
+  optional bool clahe = 11 [default = false];
+
+  // Color space conversion
+  optional bool convert_to_hsv = 12 [default = false];
+
+  // Color space conversion
+  optional bool convert_to_lab = 13 [default = false];
+}
+
+// Message that stores parameters used by data transformer for distortion policy
+message DistortionParameter {
+  // The probability of adjusting brightness.
+  optional float brightness_prob = 1 [default = 0.0];
+  // Amount to add to the pixel values within [-delta, delta].
+  // The possible value is within [0, 255]. Recommend 32.
+  optional float brightness_delta = 2 [default = 0.0];
+
+  // The probability of adjusting contrast.
+  optional float contrast_prob = 3 [default = 0.0];
+  // Lower bound for random contrast factor. Recommend 0.5.
+  optional float contrast_lower = 4 [default = 0.0];
+  // Upper bound for random contrast factor. Recommend 1.5.
+  optional float contrast_upper = 5 [default = 0.0];
+
+  // The probability of adjusting hue.
+  optional float hue_prob = 6 [default = 0.0];
+  // Amount to add to the hue channel within [-delta, delta].
+  // The possible value is within [0, 180]. Recommend 36.
+  optional float hue_delta = 7 [default = 0.0];
+
+  // The probability of adjusting saturation.
+  optional float saturation_prob = 8 [default = 0.0];
+  // Lower bound for the random saturation factor. Recommend 0.5.
+  optional float saturation_lower = 9 [default = 0.0];
+  // Upper bound for the random saturation factor. Recommend 1.5.
+  optional float saturation_upper = 10 [default = 0.0];
+
+  // The probability of randomly order the image channels.
+  optional float random_order_prob = 11 [default = 0.0];
+}
+
+// Message that stores parameters used by data transformer for expansion policy
+message ExpansionParameter {
+  //Probability of using this expansion policy
+  optional float prob = 1 [default = 1];
+
+  // The ratio to expand the image.
+  optional float max_expand_ratio = 2 [default = 1.];
 }
 
 // Message that stores parameters shared by loss layers
@@ -778,6 +1079,16 @@ message AccuracyParameter {
   optional int32 ignore_label = 3;
 }
 
+message AnnotatedDataParameter {
+  // Define the sampler.
+  repeated BatchSampler batch_sampler = 1;
+  // Store label name and label id in LabelMap format.
+  optional string label_map_file = 2;
+  // If provided, it will replace the AnnotationType stored in each
+  // AnnotatedDatum.
+  optional AnnotatedDatum.AnnotationType anno_type = 3;
+}
+
 message ArgMaxParameter {
   // If true produce pairs (argmax, maxval)
   optional bool out_max_val = 1 [default = false];
@@ -996,6 +1307,95 @@ message DataParameter {
   optional bool shuffle = 14 [default = false];
 }
 
+// Message that store parameters used by DetectionEvaluateLayer
+message DetectionEvaluateParameter {
+  // Number of classes that are actually predicted. Required!
+  optional uint32 num_classes = 1;
+  // Label id for background class. Needed for sanity check so that
+  // background class is neither in the ground truth nor the detections.
+  optional uint32 background_label_id = 2 [default = 0];
+  // Threshold for deciding true/false positive.
+  optional float overlap_threshold = 3 [default = 0.5];
+  // If true, also consider difficult ground truth for evaluation.
+  optional bool evaluate_difficult_gt = 4 [default = true];
+  // A file which contains a list of names and sizes with same order
+  // of the input DB. The file is in the following format:
+  //    name height width
+  //    ...
+  // If provided, we will scale the prediction and ground truth NormalizedBBox
+  // for evaluation.
+  optional string name_size_file = 5;
+  // The resize parameter used in converting NormalizedBBox to original image.
+  optional ResizeParameter resize_param = 6;
+}
+
+message NonMaximumSuppressionParameter {
+  // Threshold to be used in nms.
+  optional float nms_threshold = 1 [default = 0.3];
+  // Maximum number of results to be kept.
+  optional int32 top_k = 2;
+  // Parameter for adaptive nms.
+  optional float eta = 3 [default = 1.0];
+}
+
+message SaveOutputParameter {
+  // Output directory. If not empty, we will save the results.
+  optional string output_directory = 1;
+  // Output name prefix.
+  optional string output_name_prefix = 2;
+  // Output format.
+  //    VOC - PASCAL VOC output format.
+  //    COCO - MS COCO output format.
+  optional string output_format = 3;
+  // If you want to output results, must also provide the following two files.
+  // Otherwise, we will ignore saving results.
+  // label map file.
+  optional string label_map_file = 4;
+  // A file which contains a list of names and sizes with same order
+  // of the input DB. The file is in the following format:
+  //    name height width
+  //    ...
+  optional string name_size_file = 5;
+  // Number of test images. It can be less than the lines specified in
+  // name_size_file. For example, when we only want to evaluate on part
+  // of the test images.
+  optional uint32 num_test_image = 6;
+  // The resize parameter used in saving the data.
+  optional ResizeParameter resize_param = 7;
+}
+
+// Message that store parameters used by DetectionOutputLayer
+message DetectionOutputParameter {
+  // Number of classes to be predicted. Required!
+  optional uint32 num_classes = 1;
+  // If true, bounding box are shared among different classes.
+  optional bool share_location = 2 [default = true];
+  // Background label id. If there is no background class,
+  // set it as -1.
+  optional int32 background_label_id = 3 [default = 0];
+  // Parameters used for non maximum suppression.
+  optional NonMaximumSuppressionParameter nms_param = 4;
+  // Parameters used for saving detection results.
+  optional SaveOutputParameter save_output_param = 5;
+  // Type of coding method for bbox.
+  optional PriorBoxParameter.CodeType code_type = 6 [default = CORNER];
+  // If true, variance is encoded in target; otherwise we need to adjust the
+  // predicted offset accordingly.
+  optional bool variance_encoded_in_target = 8 [default = false];
+  // Number of total bboxes to be kept per image after nms step.
+  // -1 means keeping all bboxes after nms step.
+  optional int32 keep_top_k = 7 [default = -1];
+  // Only consider detections whose confidences are larger than a threshold.
+  // If not provided, consider all boxes.
+  optional float confidence_threshold = 9;
+  // If true, visualize the detection results.
+  optional bool visualize = 10 [default = false];
+  // The threshold used to visualize the detection results.
+  optional float visualize_threshold = 11;
+  // If provided, save outputs to video file.
+  optional string save_file = 12;
+}
+
 message DropoutParameter {
   optional float dropout_ratio = 1 [default = 0.5]; // dropout ratio
   enum Engine {
@@ -1217,6 +1617,78 @@ message MemoryDataParameter {
   optional uint32 width = 4;
 }
 
+// Message that store parameters used by MultiBoxLossLayer
+message MultiBoxLossParameter {
+  // Localization loss type.
+  enum LocLossType {
+    L2 = 0;
+    SMOOTH_L1 = 1;
+  }
+  optional LocLossType loc_loss_type = 1 [default = SMOOTH_L1];
+  // Confidence loss type.
+  enum ConfLossType {
+    SOFTMAX = 0;
+    LOGISTIC = 1;
+  }
+  optional ConfLossType conf_loss_type = 2 [default = SOFTMAX];
+  // Weight for localization loss.
+  optional float loc_weight = 3 [default = 1.0];
+  // Number of classes to be predicted. Required!
+  optional uint32 num_classes = 4;
+  // If true, bounding box are shared among different classes.
+  optional bool share_location = 5 [default = true];
+  // Matching method during training.
+  enum MatchType {
+    BIPARTITE = 0;
+    PER_PREDICTION = 1;
+  }
+  optional MatchType match_type = 6 [default = PER_PREDICTION];
+  // If match_type is PER_PREDICTION, use overlap_threshold to
+  // determine the extra matching bboxes.
+  optional float overlap_threshold = 7 [default = 0.5];
+  // Use prior for matching.
+  optional bool use_prior_for_matching = 8 [default = true];
+  // Background label id.
+  optional uint32 background_label_id = 9 [default = 0];
+  // If true, also consider difficult ground truth.
+  optional bool use_difficult_gt = 10 [default = true];
+  // If true, perform negative mining.
+  // DEPRECATED: use mining_type instead.
+  optional bool do_neg_mining = 11;
+  // The negative/positive ratio.
+  optional float neg_pos_ratio = 12 [default = 3.0];
+  // The negative overlap upperbound for the unmatched predictions.
+  optional float neg_overlap = 13 [default = 0.5];
+  // Type of coding method for bbox.
+  optional PriorBoxParameter.CodeType code_type = 14 [default = CORNER];
+  // If true, encode the variance of prior box in the loc loss target instead of
+  // in bbox.
+  optional bool encode_variance_in_target = 16 [default = false];
+  // If true, map all object classes to agnostic class. It is useful for learning
+  // objectness detector.
+  optional bool map_object_to_agnostic = 17 [default = false];
+  // If true, ignore cross boundary bbox during matching.
+  // Cross boundary bbox is a bbox who is outside of the image region.
+  optional bool ignore_cross_boundary_bbox = 18 [default = false];
+  // If true, only backpropagate on corners which are inside of the image
+  // region when encode_type is CORNER or CORNER_SIZE.
+  optional bool bp_inside = 19 [default = false];
+  // Mining type during training.
+  //   NONE : use all negatives.
+  //   MAX_NEGATIVE : select negatives based on the score.
+  //   HARD_EXAMPLE : select hard examples based on "Training Region-based Object Detectors with Online Hard Example Mining", Shrivastava et.al.
+  enum MiningType {
+    NONE = 0;
+    MAX_NEGATIVE = 1;
+    HARD_EXAMPLE = 2;
+  }
+  optional MiningType mining_type = 20 [default = MAX_NEGATIVE];
+  // Parameters used for non maximum suppression durig hard example mining.
+  optional NonMaximumSuppressionParameter nms_param = 21;
+  optional int32 sample_size = 22 [default = 64];
+  optional bool use_prior_for_nms = 23 [default = false];
+}
+
 message MVNParameter {
   // This parameter can be set to false to normalize mean only
   optional bool normalize_variance = 1 [default = true];
@@ -1228,6 +1700,24 @@ message MVNParameter {
   optional float eps = 3 [default = 1e-9];
 }
 
+// Message that stores parameters used by NormalizeLayer
+message NormalizeParameter {
+  optional bool across_spatial = 1 [default = true];
+  // Initial value of scale. Default is 1.0 for all
+  optional FillerParameter scale_filler = 2;
+  // Whether or not scale parameters are shared across channels.
+  optional bool channel_shared = 3 [default = true];
+  // Epsilon for not dividing by zero while normalizing variance
+  optional float eps = 4 [default = 1e-10];
+}
+
+message PermuteParameter {
+  // The new orders of the axes of data. Notice it should be with
+  // in the same range as the input data, and it starts from 0.
+  // Do not provide repeated order.
+  repeated uint32 order = 1;
+}
+
 message PoolingParameter {
   enum PoolMethod {
     MAX = 0;
@@ -1269,6 +1759,48 @@ message PowerParameter {
   optional float shift = 3 [default = 0.0];
 }
 
+// Message that store parameters used by PriorBoxLayer
+message PriorBoxParameter {
+  // Encode/decode type.
+  enum CodeType {
+    CORNER = 1;
+    CENTER_SIZE = 2;
+    CORNER_SIZE = 3;
+  }
+  // Minimum box size (in pixels). Required!
+  repeated float min_size = 1;
+  // Maximum box size (in pixels). Required!
+  repeated float max_size = 2;
+  // Various of aspect ratios. Duplicate ratios will be ignored.
+  // If none is provided, we use default ratio 1.
+  repeated float aspect_ratio = 3;
+  // If true, will flip each aspect ratio.
+  // For example, if there is aspect ratio "r",
+  // we will generate aspect ratio "1.0/r" as well.
+  optional bool flip = 4 [default = true];
+  // If true, will clip the prior so that it is within [0, 1]
+  optional bool clip = 5 [default = false];
+  // Variance for adjusting the prior bboxes.
+  repeated float variance = 6;
+  // By default, we calculate img_height, img_width, step_x, step_y based on
+  // bottom[0] (feat) and bottom[1] (img). Unless these values are explicitely
+  // provided.
+  // Explicitly provide the img_size.
+  optional uint32 img_size = 7;
+  // Either img_size or img_h/img_w should be specified; not both.
+  optional uint32 img_h = 8;
+  optional uint32 img_w = 9;
+
+  // Explicitly provide the step size.
+  optional float step = 10;
+  // Either step or step_h/step_w should be specified; not both.
+  optional float step_h = 11;
+  optional float step_w = 12;
+
+  // Offset to the top left corner of each cell.
+  optional float offset = 13 [default = 0.5];
+}
+
 message PythonParameter {
   optional string module = 1;
   optional string layer = 2;
@@ -1283,6 +1815,25 @@ message PythonParameter {
   optional bool share_in_parallel = 4 [default = false];
 }
 
+// Message that stores parameters used by RecurrentLayer
+message RecurrentParameter {
+  // The dimension of the output (and usually hidden state) representation --
+  // must be explicitly set to non-zero.
+  optional uint32 num_output = 1 [default = 0];
+
+  optional FillerParameter weight_filler = 2; // The filler for the weight
+  optional FillerParameter bias_filler = 3; // The filler for the bias
+
+  // Whether to enable displaying debug_info in the unrolled recurrent net.
+  optional bool debug_info = 4 [default = false];
+
+  // Whether to add as additional inputs (bottoms) the initial hidden state
+  // blobs, and add as additional outputs (tops) the final timestep hidden state
+  // blobs.  The number of additional bottom/top blobs required depends on the
+  // recurrent architecture -- e.g., 1 for RNNs, 2 for LSTMs.
+  optional bool expose_hidden = 5 [default = false];
+}
+
 // Message that stores parameters used by ReductionLayer
 message ReductionParameter {
   enum ReductionOp {
@@ -1487,6 +2038,18 @@ message ThresholdParameter {
   optional float threshold = 1 [default = 0]; // Strictly positive values
 }
 
+message VideoDataParameter{
+  enum VideoType {
+    WEBCAM = 0;
+    VIDEO = 1;
+  }
+  optional VideoType video_type = 1 [default = WEBCAM];
+  optional int32 device_id = 2 [default = 0];
+  optional string video_file = 3;
+  // Number of frames to be skipped before processing a frame.
+  optional uint32 skip_frames = 4 [default = 0];
+}
+
 message WindowDataParameter {
   // Specify the data source.
   optional string source = 1;
@@ -1729,6 +2292,6 @@ message PReLUParameter {
 
   // Initial value of a_i. Default is a_i=0.25 for all i.
   optional FillerParameter filler = 1;
-  // Whether or not slope paramters are shared across channels.
+  // Whether or not slope parameters are shared across channels.
   optional bool channel_shared = 2 [default = false];
 }
diff --git a/src/caffe/solver.cpp b/src/caffe/solver.cpp
index 08c0ab5213c..04326dc4590 100644
--- a/src/caffe/solver.cpp
+++ b/src/caffe/solver.cpp
@@ -5,11 +5,9 @@
 
 #include <boost/thread.hpp>
 #include "caffe/solver.hpp"
-#include "caffe/util/format.hpp"
-#include "caffe/util/gpu_memory.hpp"
 #include "caffe/util/hdf5.hpp"
-#include "caffe/util/io.hpp"
 #include "caffe/util/upgrade_proto.hpp"
+#include "caffe/util/bbox_util.hpp"
 
 namespace caffe {
 
@@ -264,9 +262,13 @@ void Solver::Step(int iters) {
     // Just started or restored?
     const bool first_loop = iter_ == 0 || iterations_last_ < 0;
     if (iter_ == 0) {
+      LOG_IF(INFO, Caffe::root_solver()) << mgpu_str << "Initial Test started...";
+      iteration_timer_->Start();
       scores = TestAll(1, use_multi_gpu_testing);
       callback_soft_barrier();
-      LOG_IF(INFO, Caffe::root_solver()) << mgpu_str << "Initial Test completed";
+      float lapse = iteration_timer_->Seconds();
+      LOG_IF(INFO, Caffe::root_solver()) << mgpu_str << "Initial Test completed in "
+                                                     << lapse << "s";
     } else if (test_and_snapshot || (param_.test_interval()
         && iter_ % param_.test_interval() == 0
         && iterations_last_ >= 0)) {
@@ -492,7 +494,12 @@ vector<float> Solver::TestAll(const int iters, bool use_multi_gpu) {
   for (int test_net_id = 0;
        test_net_id < test_nets_.size() && !requested_early_exit_;
        ++test_net_id) {
-    vector<float> scores = Test(test_net_id, iters, use_multi_gpu);
+    vector<float> scores;
+    if (param_.eval_type() == "detection") {
+      scores = TestDetection(test_net_id);
+    } else {
+      scores = Test(test_net_id, iters, use_multi_gpu);
+    }
     if (scores.size() == 0UL) {
       return scores;
     }
@@ -600,6 +607,132 @@ vector<float> Solver::Test(const int test_net_id, const int iters, bool use_mult
   return scores;
 }
 
+vector<float>   Solver::TestDetection(const int test_net_id) {
+  typedef float Dtype;
+  LOG_IF(INFO, Caffe::root_solver()) << "Iteration " << iter_
+            << ", Testing net (#" << test_net_id << ")";
+  if (!test_nets_[test_net_id]->trained_layers_shared()) {
+    CHECK_NOTNULL(test_nets_[test_net_id].get())->ShareTrainedLayersWith(net_.get());
+  }
+  vector<float> scores;
+  map<int, map<int, vector<pair<float, int> > > > all_true_pos;
+  map<int, map<int, vector<pair<float, int> > > > all_false_pos;
+  map<int, map<int, int> > all_num_pos;
+  const shared_ptr<Net >& test_net = test_nets_[test_net_id];
+  Dtype loss = 0;
+  for (int i = 0; i < param_.test_iter(test_net_id); ++i) {
+    SolverAction::Enum request = GetRequestedAction();
+    // Check to see if stoppage of testing/training has been requested.
+    while (request != SolverAction::NONE) {
+        if (SolverAction::SNAPSHOT == request) {
+          Snapshot();
+        } else if (SolverAction::STOP == request) {
+          requested_early_exit_ = true;
+        }
+        request = GetRequestedAction();
+    }
+    if (requested_early_exit_) {
+      // break out of test loop.
+      break;
+    }
+
+    Dtype iter_loss;
+    const vector<Blob*>& result = test_net->Forward(&iter_loss);
+    if (param_.test_compute_loss()) {
+      loss += iter_loss;
+    }
+    for (int j = 0; j < result.size(); ++j) {
+      CHECK_EQ(result[j]->width(), 5);
+      const Dtype* result_vec = result[j]->cpu_data<Dtype>();
+      int num_det = result[j]->height();
+      for (int k = 0; k < num_det; ++k) {
+        int item_id = static_cast<int>(result_vec[k * 5]);
+        int label = static_cast<int>(result_vec[k * 5 + 1]);
+        if (item_id == -1) {
+          // Special row of storing number of positives for a label.
+          if (all_num_pos[j].find(label) == all_num_pos[j].end()) {
+            all_num_pos[j][label] = static_cast<int>(result_vec[k * 5 + 2]);
+          } else {
+            all_num_pos[j][label] += static_cast<int>(result_vec[k * 5 + 2]);
+          }
+        } else {
+          // Normal row storing detection status.
+          float score = result_vec[k * 5 + 2];
+          int tp = static_cast<int>(result_vec[k * 5 + 3]);
+          int fp = static_cast<int>(result_vec[k * 5 + 4]);
+          if (tp == 0 && fp == 0) {
+            // Ignore such case. It happens when a detection bbox is matched to
+            // a difficult gt bbox and we don't evaluate on difficult gt bbox.
+            continue;
+          }
+          if (scores.size() < MAX_SNAPSHOT_SCORES) {
+            scores.push_back(score);
+          }
+          all_true_pos[j][label].push_back(std::make_pair(score, tp));
+          all_false_pos[j][label].push_back(std::make_pair(score, fp));
+        }
+      }
+    }
+  }
+  if (requested_early_exit_) {
+    LOG(INFO) << "Test interrupted.";
+    return scores;
+  }
+  if (param_.test_compute_loss()) {
+    loss /= param_.test_iter(test_net_id);
+    LOG(INFO) << "Test loss: " << loss;
+  }
+  for (int i = 0; i < all_true_pos.size(); ++i) {
+    if (all_true_pos.find(i) == all_true_pos.end()) {
+      LOG(FATAL) << "Missing output_blob true_pos: " << i;
+    }
+    const map<int, vector<pair<float, int> > >& true_pos =
+        all_true_pos.find(i)->second;
+    if (all_false_pos.find(i) == all_false_pos.end()) {
+      LOG(FATAL) << "Missing output_blob false_pos: " << i;
+    }
+    const map<int, vector<pair<float, int> > >& false_pos =
+        all_false_pos.find(i)->second;
+    if (all_num_pos.find(i) == all_num_pos.end()) {
+      LOG(FATAL) << "Missing output_blob num_pos: " << i;
+    }
+    const map<int, int>& num_pos = all_num_pos.find(i)->second;
+    map<int, float> APs;
+    float mAP = 0.;
+    // Sort true_pos and false_pos with descend scores.
+    for (map<int, int>::const_iterator it = num_pos.begin();
+         it != num_pos.end(); ++it) {
+      int label = it->first;
+      int label_num_pos = it->second;
+      if (true_pos.find(label) == true_pos.end()) {
+        LOG(WARNING) << "Missing true_pos for label: " << label;
+        continue;
+      }
+      const vector<pair<float, int> >& label_true_pos =
+          true_pos.find(label)->second;
+      if (false_pos.find(label) == false_pos.end()) {
+        LOG(WARNING) << "Missing false_pos for label: " << label;
+        continue;
+      }
+      const vector<pair<float, int> >& label_false_pos =
+          false_pos.find(label)->second;
+      vector<float> prec, rec;
+      ComputeAP(label_true_pos, label_num_pos, label_false_pos,
+                param_.ap_version(), &prec, &rec, &(APs[label]));
+      mAP += APs[label];
+      if (param_.show_per_class_result()) {
+        LOG(INFO) << "class AP " << label << ": " << APs[label];
+      }
+    }
+    mAP /= num_pos.size();
+    const int output_blob_index = test_net->output_blob_indices()[i];
+    const string& output_name = test_net->blob_names()[output_blob_index];
+    LOG(INFO) << "Test net output mAP #" << i << ": " << output_name << " = "
+              << mAP;
+  }
+  return scores;
+}
+
 void Solver::SnapshotWithScores(const vector<float>& scores) {
   CHECK(Caffe::root_solver());
   string model_filename;
diff --git a/src/caffe/tensor.cpp b/src/caffe/tensor.cpp
index f79d315c0a4..e5dce74d12d 100644
--- a/src/caffe/tensor.cpp
+++ b/src/caffe/tensor.cpp
@@ -62,7 +62,7 @@ void Tensor::convert(Type new_type) {
     if (!new_mem || new_mem->size() != new_cap) {
       new_mem = make_shared<SyncedMemory>(new_cap);
     }
-    const bool data_gpu = Caffe::mode() == Caffe::GPU;
+    const bool data_gpu = is_gpu_head();
     if (current_mem->head() != SyncedMemory::UNINITIALIZED) {
       copy_helper(data_gpu, count_,
           data_gpu ? current_mem->gpu_data() : current_mem->cpu_data(),
@@ -132,7 +132,7 @@ void Tensor::copy_helper(bool use_gpu, int count, const void* p_src, Type src_ty
 
 void Tensor::scale(float scale, void* handle) {
   shared_ptr<SyncedMemory>& mem = mutable_synced_mem();
-  if (Caffe::mode() == Caffe::GPU) {
+  if (is_gpu_head()) {
     cublasHandle_t cublas_handle =
         handle == nullptr ? Caffe::cublas_handle(0) : reinterpret_cast<cublasHandle_t>(handle);
     gpu_scal(count_, type_, mem->mutable_gpu_data(), scale, cublas_handle);
@@ -143,7 +143,7 @@ void Tensor::scale(float scale, void* handle) {
 
 void Tensor::set(float value) {
   shared_ptr<SyncedMemory>& mem = mutable_synced_mem();
-  if (Caffe::mode() == Caffe::GPU) {
+  if (is_gpu_head()) {
     void* data = mem->mutable_gpu_data();
     if (is_type<float>(type_)) {
       caffe_gpu_set(count_, value, static_cast<float*>(data));
@@ -174,7 +174,7 @@ float Tensor::asum(int group) const {
   if (!mem || count_ <= 0) {
     return asum;
   }
-  if (Caffe::mode() == Caffe::GPU) {
+  if (is_gpu_head()) {
     if (is_type<float>(type_)) {
       caffe_gpu_asum(count_, static_cast<const float*>(mem->gpu_data()), &asum, group);
     } else if (is_type<float16>(type_)) {
@@ -204,7 +204,7 @@ float Tensor::amax(int group) const {
   if (!mem || count_ <= 0) {
     return amax;
   }
-  if (Caffe::mode() == Caffe::GPU) {
+  if (is_gpu_head()) {
     if (is_type<float>(type_)) {
       caffe_gpu_amax(count_, static_cast<const float*>(mem->gpu_data()), &amax, group);
     } else if (is_type<float16>(type_)) {
@@ -234,7 +234,7 @@ float Tensor::sumsq(int group) const {
   if (!mem || count_ <= 0) {
     return sumsq;
   }
-  if (Caffe::mode() == Caffe::GPU) {
+  if (is_gpu_head()) {
     if (is_type<float>(type_)) {
       caffe_gpu_sumsq(count_, static_cast<const float*>(mem->gpu_data()), &sumsq, group);
     } else if (is_type<float16>(type_)) {
diff --git a/src/caffe/test/test_common.cpp b/src/caffe/test/test_common.cpp
index c2cafe1ca44..9e07e411539 100644
--- a/src/caffe/test/test_common.cpp
+++ b/src/caffe/test/test_common.cpp
@@ -52,9 +52,11 @@ TEST_F(CommonTest, TestRandSeedGPU) {
   Caffe::set_random_seed(1701);
   CURAND_CHECK(curandGenerate(Caffe::curand_generator(),
         static_cast<unsigned int*>(data_a.mutable_gpu_data()), 10));
+  CUDA_CHECK(cudaStreamSynchronize(Caffe::curand_stream()));
   Caffe::set_random_seed(1701);
   CURAND_CHECK(curandGenerate(Caffe::curand_generator(),
         static_cast<unsigned int*>(data_b.mutable_gpu_data()), 10));
+  CUDA_CHECK(cudaStreamSynchronize(Caffe::curand_stream()));
   for (int i = 0; i < 10; ++i) {
     EXPECT_EQ(((const unsigned int*)(data_a.cpu_data()))[i],
         ((const unsigned int*)(data_b.cpu_data()))[i]);
diff --git a/src/caffe/test/test_convolution_layer.cpp b/src/caffe/test/test_convolution_layer.cpp
index 905f1b57a5c..0e41c7d942b 100644
--- a/src/caffe/test/test_convolution_layer.cpp
+++ b/src/caffe/test/test_convolution_layer.cpp
@@ -387,14 +387,14 @@ TYPED_TEST(ConvolutionLayerTest, TestSimple3DConvolution) {
   top_data = this->blob_top_->cpu_data();
   ref_top_data = this->ref_blob_top_->cpu_data();
   for (int i = 0; i < this->blob_top_->count(); ++i) {
-    EXPECT_NEAR(top_data[i], ref_top_data[i], tol<Dtype>(1e-3, 5e-2));
+    EXPECT_NEAR(top_data[i], ref_top_data[i], tol<Dtype>(1e-3, 1e-1));
   }
   caffe_conv(this->blob_bottom_2_, convolution_param, layer->blobs(),
       this->MakeReferenceTop(this->blob_top_2_));
   top_data = this->blob_top_2_->cpu_data();
   ref_top_data = this->ref_blob_top_->cpu_data();
   for (int i = 0; i < this->blob_top_->count(); ++i) {
-    EXPECT_NEAR(top_data[i], ref_top_data[i], tol<Dtype>(1e-3, 5e-2));
+    EXPECT_NEAR(top_data[i], ref_top_data[i], tol<Dtype>(1e-3, 1e-1));
   }
 }
 
diff --git a/src/caffe/test/test_data_transformer.cpp b/src/caffe/test/test_data_transformer.cpp
index 31e73f2f990..4824e343e64 100644
--- a/src/caffe/test/test_data_transformer.cpp
+++ b/src/caffe/test/test_data_transformer.cpp
@@ -38,7 +38,7 @@ class DataTransformTest : public ::testing::Test {
   int NumSequenceMatches(const TransformationParameter transform_param,
       Datum& datum, Phase phase) {
     // Get crop sequence with Caffe seed 1701.
-    DataTransformer transformer(transform_param, phase);
+    DataTransformer<Dtype> transformer(transform_param, phase);
     const int crop_size = transform_param.crop_size();
     Caffe::set_random_seed(seed_);
     transformer.InitRand();
@@ -85,7 +85,7 @@ TYPED_TEST(DataTransformTest, TestEmptyTransform) {
   Datum datum;
   FillDatum(label, channels, height, width, unique_pixels, &datum);
   TBlob<TypeParam> blob(1, channels, height, width);
-  DataTransformer transformer(transform_param, TEST);
+  DataTransformer<TypeParam> transformer(transform_param, TEST);
   transformer.InitRand();
   transformer.Transform(datum, &blob);
   EXPECT_EQ(blob.num(), 1);
@@ -108,7 +108,7 @@ TYPED_TEST(DataTransformTest, TestEmptyTransformUniquePixels) {
   Datum datum;
   FillDatum(label, channels, height, width, unique_pixels, &datum);
   TBlob<TypeParam> blob(1, 3, 4, 5);
-  DataTransformer transformer(transform_param, TEST);
+  DataTransformer<TypeParam> transformer(transform_param, TEST);
   transformer.InitRand();
   transformer.Transform(datum, &blob);
   EXPECT_EQ(blob.num(), 1);
@@ -132,7 +132,7 @@ TYPED_TEST(DataTransformTest, TestCropSize) {
   transform_param.set_crop_size(crop_size);
   Datum datum;
   FillDatum(label, channels, height, width, unique_pixels, &datum);
-  DataTransformer transformer(transform_param, TEST);
+  DataTransformer<TypeParam> transformer(transform_param, TEST);
   transformer.InitRand();
   TBlob<TypeParam> blob(1, channels, crop_size, crop_size);
   for (int iter = 0; iter < this->num_iter_; ++iter) {
@@ -270,7 +270,7 @@ TYPED_TEST(DataTransformTest, TestMeanValue) {
   Datum datum;
   FillDatum(label, channels, height, width, unique_pixels, &datum);
   TBlob<TypeParam> blob(1, channels, height, width);
-  DataTransformer transformer(transform_param, TEST);
+  DataTransformer<TypeParam> transformer(transform_param, TEST);
   transformer.InitRand();
   transformer.Transform(datum, &blob);
   for (int j = 0; j < blob.count(); ++j) {
@@ -292,7 +292,7 @@ TYPED_TEST(DataTransformTest, TestMeanValues) {
   Datum datum;
   FillDatum(label, channels, height, width, unique_pixels, &datum);
   TBlob<TypeParam> blob(1, channels, height, width);
-  DataTransformer transformer(transform_param, TEST);
+  DataTransformer<TypeParam> transformer(transform_param, TEST);
   transformer.InitRand();
   transformer.Transform(datum, &blob);
   for (int c = 0; c < channels; ++c) {
@@ -331,7 +331,7 @@ TYPED_TEST(DataTransformTest, TestMeanFile) {
   Datum datum;
   FillDatum(label, channels, height, width, unique_pixels, &datum);
   TBlob<TypeParam> blob(1, channels, height, width);
-  DataTransformer transformer(transform_param, TEST);
+  DataTransformer<TypeParam> transformer(transform_param, TEST);
   transformer.InitRand();
   transformer.Transform(datum, &blob);
   for (int j = 0; j < blob.count(); ++j) {
@@ -345,6 +345,27 @@ class VarSzTransformsTest : public ::testing::Test {
   VarSzTransformsTest()
     : seed_(1701) {}
 
+  void VariableSizedTransforms(DataTransformer<Dtype>& transformer, Datum* datum) {
+    const TransformationParameter& param = transformer.transform_param();
+    cv::Mat img1, img2;
+    const int color_mode = param.force_color() ? 1 : (param.force_gray() ? -1 : 0);
+    if (datum->encoded()) {
+      DecodeDatumToCVMat(*datum, color_mode, img1, false);
+    } else {
+      DatumToCVMat(*datum, img1, false);
+    }
+
+    transformer.image_random_resize(img1, img2);
+
+    if (transformer.image_random_crop_enabled()) {
+      transformer.image_random_crop(param.crop_size(), param.crop_size(), img2);
+    }
+    if (transformer.image_center_crop_enabled()) {
+      transformer.image_center_crop(param.crop_size(), param.crop_size(), img2);
+    }
+    CVMatToDatum(img2, *datum);
+  }
+
   void Run(
       TransformationParameter transform_param,
       int expected_height, int expected_width) {
@@ -356,12 +377,13 @@ class VarSzTransformsTest : public ::testing::Test {
 
     shared_ptr<Datum> datum = make_shared<Datum>();
     FillDatum(label, channels, height, width, unique_pixels, datum.get());
-    DataTransformer transformer(transform_param, TEST);
+    DataTransformer<Dtype> transformer(transform_param, TEST);
     Caffe::set_random_seed(seed_);
     transformer.InitRand();
 
     shared_ptr<Datum> transformed_datum = make_shared<Datum>(*datum);
-    transformer.VariableSizedTransforms(transformed_datum.get());
+    VariableSizedTransforms(transformer, transformed_datum.get());
+
     EXPECT_EQ(transformed_datum->channels(), 3);
     EXPECT_EQ(transformed_datum->height(), expected_height);
     EXPECT_EQ(transformed_datum->width(), expected_width);
@@ -407,7 +429,7 @@ class GPUDataTransformTest : public GPUDeviceTest<Dtype> {
   int NumSequenceMatches(const TransformationParameter transform_param,
       Datum& datum, Phase phase) {
     // Get crop sequence with Caffe seed 1701.
-    DataTransformer transformer(transform_param, phase);
+    DataTransformer<Dtype> transformer(transform_param, phase);
     const int crop_size = transform_param.crop_size();
     Caffe::set_random_seed(seed_);
     transformer.InitRand();
@@ -456,7 +478,7 @@ TYPED_TEST(GPUDataTransformTest, TestCropSize) {
   transform_param.set_use_gpu_transform(true);
   Datum datum;
   FillDatum(label, channels, height, width, unique_pixels, &datum);
-  DataTransformer transformer(transform_param, TEST);
+  DataTransformer<TypeParam> transformer(transform_param, TEST);
   transformer.InitRand();
   TBlob<TypeParam> blob(1, channels, crop_size, crop_size);
   for (int iter = 0; iter < this->num_iter_; ++iter) {
@@ -600,7 +622,7 @@ TYPED_TEST(GPUDataTransformTest, TestMeanValue) {
   Datum datum;
   FillDatum(label, channels, height, width, unique_pixels, &datum);
   TBlob<TypeParam> blob(1, channels, height, width);
-  DataTransformer transformer(transform_param, TEST);
+  DataTransformer<TypeParam> transformer(transform_param, TEST);
   transformer.InitRand();
   transformer.Transform(datum, &blob);
   for (int j = 0; j < blob.count(); ++j) {
@@ -623,7 +645,7 @@ TYPED_TEST(GPUDataTransformTest, TestMeanValues) {
   Datum datum;
   FillDatum(label, channels, height, width, unique_pixels, &datum);
   TBlob<TypeParam> blob(1, channels, height, width);
-  DataTransformer transformer(transform_param, TEST);
+  DataTransformer<TypeParam> transformer(transform_param, TEST);
   transformer.InitRand();
   transformer.Transform(datum, &blob);
   for (int c = 0; c < channels; ++c) {
@@ -662,7 +684,7 @@ TYPED_TEST(GPUDataTransformTest, TestMeanFile) {
   Datum datum;
   FillDatum(label, channels, height, width, unique_pixels, &datum);
   TBlob<TypeParam> blob(1, channels, height, width);
-  DataTransformer transformer(transform_param, TEST);
+  DataTransformer<TypeParam> transformer(transform_param, TEST);
   transformer.InitRand();
   transformer.Transform(datum, &blob);
   for (int j = 0; j < blob.count(); ++j) {
diff --git a/src/caffe/test/test_lstm_layer.cpp b/src/caffe/test/test_lstm_layer.cpp
new file mode 100644
index 00000000000..a2d8f43aef6
--- /dev/null
+++ b/src/caffe/test/test_lstm_layer.cpp
@@ -0,0 +1,324 @@
+#include <cstring>
+#include <vector>
+
+#include "gtest/gtest.h"
+
+#include "caffe/blob.hpp"
+#include "caffe/common.hpp"
+#include "caffe/filler.hpp"
+#include "caffe/layers/lstm_layer.hpp"
+
+#include "caffe/test/test_caffe_main.hpp"
+#include "caffe/test/test_gradient_check_util.hpp"
+
+namespace caffe {
+
+template <typename TypeParam>
+class LSTMLayerTest : public MultiDeviceTest<TypeParam> {
+  typedef typename TypeParam::Dtype Dtype;
+
+ protected:
+  LSTMLayerTest() : num_output_(7) {
+    blob_bottom_vec_.push_back(&blob_bottom_);
+    blob_bottom_vec_.push_back(&blob_bottom_cont_);
+    blob_top_vec_.push_back(&blob_top_);
+    unit_blob_bottom_vec_.push_back(&unit_blob_bottom_c_prev_);
+    unit_blob_bottom_vec_.push_back(&unit_blob_bottom_x_);
+    unit_blob_bottom_vec_.push_back(&unit_blob_bottom_cont_);
+    unit_blob_top_vec_.push_back(&unit_blob_top_c_);
+    unit_blob_top_vec_.push_back(&unit_blob_top_h_);
+
+    ReshapeBlobs(1, 3);
+
+    layer_param_.set_forward_type(tp<Dtype>());
+    layer_param_.set_backward_type(tp<Dtype>());
+    layer_param_.set_forward_math(tp<Dtype>());
+    layer_param_.set_backward_math(tp<Dtype>());
+    layer_param_.mutable_recurrent_param()->set_num_output(num_output_);
+    FillerParameter* weight_filler =
+        layer_param_.mutable_recurrent_param()->mutable_weight_filler();
+    weight_filler->set_type("gaussian");
+    weight_filler->set_std(0.2);
+    FillerParameter* bias_filler =
+        layer_param_.mutable_recurrent_param()->mutable_bias_filler();
+    bias_filler->set_type("gaussian");
+    bias_filler->set_std(0.1);
+
+    layer_param_.set_phase(TEST);
+  }
+
+  void ReshapeBlobs(int num_timesteps, int num_instances) {
+    blob_bottom_.Reshape(num_timesteps, num_instances, 3, 2);
+    blob_bottom_static_.Reshape(num_instances, 2, 3, 4);
+    vector<int> shape(2);
+    shape[0] = num_timesteps;
+    shape[1] = num_instances;
+    blob_bottom_cont_.Reshape(shape);
+    shape.push_back(num_output_);
+
+    shape[0] = 1; shape[1] = num_instances; shape[2] = 4 * num_output_;
+    unit_blob_bottom_x_.Reshape(shape);
+    shape[0] = 1; shape[1] = num_instances; shape[2] = num_output_;
+    unit_blob_bottom_c_prev_.Reshape(shape);
+    shape.resize(2);
+    shape[0] = 1; shape[1] = num_instances;
+    unit_blob_bottom_cont_.Reshape(shape);
+
+    FillerParameter filler_param;
+    filler_param.set_min(-1);
+    filler_param.set_max(1);
+    UniformFiller<Dtype> filler(filler_param);
+    filler.Fill(&blob_bottom_);
+    filler.Fill(&unit_blob_bottom_c_prev_);
+    filler.Fill(&unit_blob_bottom_x_);
+  }
+
+  int num_output_;
+  LayerParameter layer_param_;
+  TBlob<Dtype> blob_bottom_;
+  TBlob<Dtype> blob_bottom_cont_;
+  TBlob<Dtype> blob_bottom_static_;
+  TBlob<Dtype> blob_top_;
+  vector<Blob*> blob_bottom_vec_;
+  vector<Blob*> blob_top_vec_;
+
+  TBlob<Dtype> unit_blob_bottom_cont_;
+  TBlob<Dtype> unit_blob_bottom_c_prev_;
+  TBlob<Dtype> unit_blob_bottom_x_;
+  TBlob<Dtype> unit_blob_top_c_;
+  TBlob<Dtype> unit_blob_top_h_;
+  vector<Blob*> unit_blob_bottom_vec_;
+  vector<Blob*> unit_blob_top_vec_;
+};
+
+TYPED_TEST_CASE(LSTMLayerTest, TestDtypesAndDevices);
+
+TYPED_TEST(LSTMLayerTest, TestSetUp) {
+  typedef typename TypeParam::Dtype Dtype;
+  LSTMLayer<Dtype, Dtype> layer(this->layer_param_);
+  layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
+  vector<int> expected_top_shape = this->blob_bottom_.shape();
+  expected_top_shape.resize(3);
+  expected_top_shape[2] = this->num_output_;
+  EXPECT_TRUE(this->blob_top_.shape() == expected_top_shape);
+}
+
+TYPED_TEST(LSTMLayerTest, TestForward) {
+  typedef typename TypeParam::Dtype Dtype;
+  const int kNumTimesteps = 3;
+  const int num = this->blob_bottom_.shape(1);
+  this->ReshapeBlobs(kNumTimesteps, num);
+
+  // Fill the cont blob with <0, 1, 1, ..., 1>,
+  // indicating a sequence that begins at the first timestep
+  // then continues for the rest of the sequence.
+  for (int t = 0; t < kNumTimesteps; ++t) {
+    for (int n = 0; n < num; ++n) {
+      this->blob_bottom_cont_.mutable_cpu_data()[t * num + n] = t > 0;
+    }
+  }
+
+  // Process the full sequence in a single batch.
+  FillerParameter filler_param;
+  filler_param.set_mean(0);
+  filler_param.set_std(1);
+  GaussianFiller<Dtype> sequence_filler(filler_param);
+  Caffe::set_random_seed(1);
+  sequence_filler.Fill(&this->blob_bottom_);
+  this->layer_param_.set_forward_type(tp<Dtype>());
+  this->layer_param_.set_backward_type(tp<Dtype>());
+  this->layer_param_.set_forward_math(tp<Dtype>());
+  this->layer_param_.set_backward_math(tp<Dtype>());
+  shared_ptr<LSTMLayer<Dtype, Dtype> > layer(new LSTMLayer<Dtype, Dtype>(this->layer_param_));
+  Caffe::set_random_seed(1701);
+  layer->SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
+  LOG(INFO) << "Calling forward for full sequence LSTM";
+  layer->Forward(this->blob_bottom_vec_, this->blob_top_vec_);
+
+  // Copy the inputs and outputs to reuse/check them later.
+  TBlob<Dtype> bottom_copy(this->blob_bottom_.shape());
+  bottom_copy.CopyFrom(this->blob_bottom_);
+  TBlob<Dtype> top_copy(this->blob_top_.shape());
+  top_copy.CopyFrom(this->blob_top_);
+
+  // Process the batch one timestep at a time;
+  // check that we get the same result.
+  this->ReshapeBlobs(1, num);
+  layer.reset(new LSTMLayer<Dtype, Dtype>(this->layer_param_));
+  Caffe::set_random_seed(1701);
+  layer->SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
+  const int bottom_count = this->blob_bottom_.count();
+  const int top_count = this->blob_top_.count();
+  const Dtype kEpsilon = 1e-5;
+  for (int t = 0; t < kNumTimesteps; ++t) {
+    caffe_copy(bottom_count, bottom_copy.cpu_data() + t * bottom_count,
+               this->blob_bottom_.mutable_cpu_data());
+    for (int n = 0; n < num; ++n) {
+      this->blob_bottom_cont_.mutable_cpu_data()[n] = t > 0;
+    }
+    LOG(INFO) << "Calling forward for LSTM timestep " << t;
+    layer->Forward(this->blob_bottom_vec_, this->blob_top_vec_);
+    for (int i = 0; i < top_count; ++i) {
+      ASSERT_LT(t * top_count + i, top_copy.count());
+      EXPECT_NEAR(this->blob_top_.cpu_data()[i],
+                  top_copy.cpu_data()[t * top_count + i], kEpsilon)
+         << "t = " << t << "; i = " << i;
+    }
+  }
+
+  // Process the batch one timestep at a time with all cont blobs set to 0.
+  // Check that we get a different result, except in the first timestep.
+  Caffe::set_random_seed(1701);
+  layer.reset(new LSTMLayer<Dtype, Dtype>(this->layer_param_));
+  layer->SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
+  for (int t = 0; t < kNumTimesteps; ++t) {
+    caffe_copy(bottom_count, bottom_copy.cpu_data() + t * bottom_count,
+               this->blob_bottom_.mutable_cpu_data());
+    for (int n = 0; n < num; ++n) {
+      this->blob_bottom_cont_.mutable_cpu_data()[n] = 0;
+    }
+    LOG(INFO) << "Calling forward for LSTM timestep " << t;
+    layer->Forward(this->blob_bottom_vec_, this->blob_top_vec_);
+    for (int i = 0; i < top_count; ++i) {
+      if (t == 0) {
+        EXPECT_NEAR(this->blob_top_.cpu_data()[i],
+                    top_copy.cpu_data()[t * top_count + i], kEpsilon)
+           << "t = " << t << "; i = " << i;
+      } else {
+        EXPECT_NE(this->blob_top_.cpu_data()[i],
+                  top_copy.cpu_data()[t * top_count + i])
+           << "t = " << t << "; i = " << i;
+      }
+    }
+  }
+}
+
+TYPED_TEST(LSTMLayerTest, TestLSTMUnitSetUp) {
+  typedef typename TypeParam::Dtype Dtype;
+  LayerParameter layer_param;
+  layer_param.set_forward_type(tp<Dtype>());
+  layer_param.set_backward_type(tp<Dtype>());
+  layer_param.set_forward_math(tp<Dtype>());
+  layer_param.set_backward_math(tp<Dtype>());
+  LSTMUnitLayer<Dtype, Dtype> layer(layer_param);
+  layer.SetUp(this->unit_blob_bottom_vec_, this->unit_blob_top_vec_);
+  const int num_axes = this->unit_blob_bottom_c_prev_.num_axes();
+  ASSERT_EQ(num_axes, this->unit_blob_top_c_.num_axes());
+  ASSERT_EQ(num_axes, this->unit_blob_top_h_.num_axes());
+  for (int i = 0; i < num_axes; ++i) {
+    EXPECT_EQ(this->unit_blob_bottom_c_prev_.shape(i),
+              this->unit_blob_top_c_.shape(i));
+    EXPECT_EQ(this->unit_blob_bottom_c_prev_.shape(i),
+              this->unit_blob_top_h_.shape(i));
+  }
+}
+
+TYPED_TEST(LSTMLayerTest, TestLSTMUnitGradient) {
+  typedef typename TypeParam::Dtype Dtype;
+  LayerParameter layer_param;
+  layer_param.set_forward_type(tp<Dtype>());
+  layer_param.set_backward_type(tp<Dtype>());
+  layer_param.set_forward_math(tp<Dtype>());
+  layer_param.set_backward_math(tp<Dtype>());
+  LSTMUnitLayer<Dtype, Dtype> layer(layer_param);
+  GradientChecker<Dtype> checker(tol<Dtype>(1e-2, 1e-1), tol<Dtype>(1e-3, 1e-2));
+  Dtype* cont_data = this->blob_bottom_cont_.mutable_cpu_data();
+  cont_data[0] = 0;
+  cont_data[1] = 0;
+  cont_data[2] = 0;
+  checker.CheckGradientExhaustive(&layer, this->unit_blob_bottom_vec_,
+      this->unit_blob_top_vec_, 0);
+  checker.CheckGradientExhaustive(&layer, this->unit_blob_bottom_vec_,
+      this->unit_blob_top_vec_, 1);
+}
+
+TYPED_TEST(LSTMLayerTest, TestLSTMUnitGradientNonZeroCont) {
+  typedef typename TypeParam::Dtype Dtype;
+  LayerParameter layer_param;
+  layer_param.set_forward_type(tp<Dtype>());
+  layer_param.set_backward_type(tp<Dtype>());
+  layer_param.set_forward_math(tp<Dtype>());
+  layer_param.set_backward_math(tp<Dtype>());
+  LSTMUnitLayer<Dtype, Dtype> layer(layer_param);
+  GradientChecker<Dtype> checker(tol<Dtype>(1e-2, 1e-1), tol<Dtype>(1e-3, 1e-2));
+  Dtype* cont_data = this->blob_bottom_cont_.mutable_cpu_data();
+  cont_data[0] = 1;
+  cont_data[1] = 0;
+  cont_data[2] = 1;
+  checker.CheckGradientExhaustive(&layer, this->unit_blob_bottom_vec_,
+      this->unit_blob_top_vec_, 0);
+  checker.CheckGradientExhaustive(&layer, this->unit_blob_bottom_vec_,
+      this->unit_blob_top_vec_, 1);
+}
+
+TYPED_TEST(LSTMLayerTest, TestGradient) {
+  typedef typename TypeParam::Dtype Dtype;
+  this->layer_param_.set_forward_type(tp<Dtype>());
+  this->layer_param_.set_backward_type(tp<Dtype>());
+  this->layer_param_.set_forward_math(tp<Dtype>());
+  this->layer_param_.set_backward_math(tp<Dtype>());
+  LSTMLayer<Dtype, Dtype> layer(this->layer_param_);
+  GradientChecker<Dtype> checker(tol<Dtype>(1e-2, 1e-1), tol<Dtype>(1e-3, 1e-2));
+  checker.CheckGradientExhaustive(&layer, this->blob_bottom_vec_,
+      this->blob_top_vec_, 0);
+}
+
+TYPED_TEST(LSTMLayerTest, TestGradientNonZeroCont) {
+  typedef typename TypeParam::Dtype Dtype;
+  this->layer_param_.set_forward_type(tp<Dtype>());
+  this->layer_param_.set_backward_type(tp<Dtype>());
+  this->layer_param_.set_forward_math(tp<Dtype>());
+  this->layer_param_.set_backward_math(tp<Dtype>());
+  LSTMLayer<Dtype, Dtype> layer(this->layer_param_);
+  GradientChecker<Dtype> checker(tol<Dtype>(1e-2, 1e-1), tol<Dtype>(1e-3, 1e-2));
+  for (int i = 0; i < this->blob_bottom_cont_.count(); ++i) {
+    this->blob_bottom_cont_.mutable_cpu_data()[i] = i > 2;
+  }
+  checker.CheckGradientExhaustive(&layer, this->blob_bottom_vec_,
+      this->blob_top_vec_, 0);
+}
+
+TYPED_TEST(LSTMLayerTest, TestGradientNonZeroContBufferSize2) {
+  typedef typename TypeParam::Dtype Dtype;
+  this->ReshapeBlobs(2, 2);
+  FillerParameter filler_param;
+  UniformFiller<Dtype> filler(filler_param);
+  filler.Fill(&this->blob_bottom_);
+  this->layer_param_.set_forward_type(tp<Dtype>());
+  this->layer_param_.set_backward_type(tp<Dtype>());
+  this->layer_param_.set_forward_math(tp<Dtype>());
+  this->layer_param_.set_backward_math(tp<Dtype>());
+  LSTMLayer<Dtype, Dtype> layer(this->layer_param_);
+  GradientChecker<Dtype> checker(tol<Dtype>(1e-2, 1e-1), tol<Dtype>(1e-3, 1e-2));
+  for (int i = 0; i < this->blob_bottom_cont_.count(); ++i) {
+    this->blob_bottom_cont_.mutable_cpu_data()[i] = i > 2;
+  }
+  checker.CheckGradientExhaustive(&layer, this->blob_bottom_vec_,
+      this->blob_top_vec_, 0);
+}
+
+TYPED_TEST(LSTMLayerTest, TestGradientNonZeroContBufferSize2WithStaticInput) {
+  typedef typename TypeParam::Dtype Dtype;
+  this->ReshapeBlobs(2, 2);
+  FillerParameter filler_param;
+  UniformFiller<Dtype> filler(filler_param);
+  filler.Fill(&this->blob_bottom_);
+  filler.Fill(&this->blob_bottom_static_);
+  this->blob_bottom_vec_.push_back(&this->blob_bottom_static_);
+  this->layer_param_.set_forward_type(tp<Dtype>());
+  this->layer_param_.set_backward_type(tp<Dtype>());
+  this->layer_param_.set_forward_math(tp<Dtype>());
+  this->layer_param_.set_backward_math(tp<Dtype>());
+  LSTMLayer<Dtype, Dtype> layer(this->layer_param_);
+  GradientChecker<Dtype> checker(tol<Dtype>(1e-2, 1e-1), tol<Dtype>(1e-3, 1e-2));
+  for (int i = 0; i < this->blob_bottom_cont_.count(); ++i) {
+    this->blob_bottom_cont_.mutable_cpu_data()[i] = i > 2;
+  }
+  checker.CheckGradientExhaustive(&layer, this->blob_bottom_vec_,
+      this->blob_top_vec_, 0);
+  checker.CheckGradientExhaustive(&layer, this->blob_bottom_vec_,
+      this->blob_top_vec_, 2);
+}
+
+
+}  // namespace caffe
diff --git a/src/caffe/test/test_neuron_layer.cpp b/src/caffe/test/test_neuron_layer.cpp
index 2dfe9d61269..f30c9117d20 100644
--- a/src/caffe/test/test_neuron_layer.cpp
+++ b/src/caffe/test/test_neuron_layer.cpp
@@ -819,7 +819,7 @@ class CuDNNNeuronLayerTest : public GPUDeviceTest<Dtype> {
     LayerParameter layer_param;
     // Fill in the given dropout_ratio, unless it's 0.5, in which case we don't
     // set it explicitly to test that 0.5 is the default.
-    if (dropout_ratio != 0.5) {
+    if (dropout_ratio != 0.5F) {
       layer_param.mutable_dropout_param()->set_dropout_ratio(dropout_ratio);
     }
     DropoutLayer<Dtype, Dtype> layer(layer_param);
@@ -829,7 +829,7 @@ class CuDNNNeuronLayerTest : public GPUDeviceTest<Dtype> {
     // Now, check values
     const Dtype* bottom_data = this->blob_bottom_->cpu_data();
     const Dtype* top_data = this->blob_top_->cpu_data();
-    float scale = 1. / (1. - layer_param.dropout_param().dropout_ratio());
+    float scale = 1.F / (1.F - layer_param.dropout_param().dropout_ratio());
     const int count = this->blob_bottom_->count();
     // Initialize num_kept to count the number of inputs NOT dropped out.
     int num_kept = 0;
diff --git a/src/caffe/test/test_rnn_layer.cpp b/src/caffe/test/test_rnn_layer.cpp
new file mode 100644
index 00000000000..437e4e0a04c
--- /dev/null
+++ b/src/caffe/test/test_rnn_layer.cpp
@@ -0,0 +1,241 @@
+#include <cstring>
+#include <vector>
+
+#include "gtest/gtest.h"
+
+#include "caffe/blob.hpp"
+#include "caffe/common.hpp"
+#include "caffe/filler.hpp"
+#include "caffe/layers/rnn_layer.hpp"
+
+#include "caffe/test/test_caffe_main.hpp"
+#include "caffe/test/test_gradient_check_util.hpp"
+
+namespace caffe {
+
+template <typename TypeParam>
+class RNNLayerTest : public MultiDeviceTest<TypeParam> {
+  typedef typename TypeParam::Dtype Dtype;
+
+ protected:
+  RNNLayerTest() : num_output_(7) {
+    blob_bottom_vec_.push_back(&blob_bottom_);
+    blob_bottom_vec_.push_back(&blob_bottom_cont_);
+    blob_top_vec_.push_back(&blob_top_);
+
+    ReshapeBlobs(1, 3);
+
+    layer_param_.mutable_recurrent_param()->set_num_output(num_output_);
+    FillerParameter* weight_filler =
+        layer_param_.mutable_recurrent_param()->mutable_weight_filler();
+    weight_filler->set_type("gaussian");
+    weight_filler->set_std(0.2);
+    FillerParameter* bias_filler =
+        layer_param_.mutable_recurrent_param()->mutable_bias_filler();
+    bias_filler->set_type("gaussian");
+    bias_filler->set_std(0.1);
+
+    layer_param_.set_phase(TEST);
+  }
+
+  void ReshapeBlobs(int num_timesteps, int num_instances) {
+    blob_bottom_.Reshape(num_timesteps, num_instances, 3, 2);
+    blob_bottom_static_.Reshape(num_instances, 2, 3, 4);
+    vector<int> shape(2);
+    shape[0] = num_timesteps;
+    shape[1] = num_instances;
+    blob_bottom_cont_.Reshape(shape);
+
+    FillerParameter filler_param;
+    filler_param.set_min(-1);
+    filler_param.set_max(1);
+    UniformFiller<Dtype> filler(filler_param);
+    filler.Fill(&blob_bottom_);
+  }
+
+  int num_output_;
+  LayerParameter layer_param_;
+  TBlob<Dtype> blob_bottom_;
+  TBlob<Dtype> blob_bottom_cont_;
+  TBlob<Dtype> blob_bottom_static_;
+  TBlob<Dtype> blob_top_;
+  vector<Blob*> blob_bottom_vec_;
+  vector<Blob*> blob_top_vec_;
+};
+
+TYPED_TEST_CASE(RNNLayerTest, TestDtypesGPUOnly);
+
+TYPED_TEST(RNNLayerTest, TestSetUp) {
+  typedef typename TypeParam::Dtype Dtype;
+  this->layer_param_.set_forward_type(tp<Dtype>());
+  this->layer_param_.set_backward_type(tp<Dtype>());
+  this->layer_param_.set_forward_math(tp<Dtype>());
+  this->layer_param_.set_backward_math(tp<Dtype>());
+  RNNLayer<Dtype, Dtype> layer(this->layer_param_);
+  layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
+  vector<int> expected_top_shape = this->blob_bottom_.shape();
+  expected_top_shape.resize(3);
+  expected_top_shape[2] = this->num_output_;
+  EXPECT_TRUE(this->blob_top_.shape() == expected_top_shape);
+}
+
+TYPED_TEST(RNNLayerTest, TestForward) {
+  typedef typename TypeParam::Dtype Dtype;
+  const int kNumTimesteps = 3;
+  const int num = this->blob_bottom_.shape(1);
+  this->ReshapeBlobs(kNumTimesteps, num);
+
+  // Fill the cont blob with <0, 1, 1, ..., 1>,
+  // indicating a sequence that begins at the first timestep
+  // then continues for the rest of the sequence.
+  for (int t = 0; t < kNumTimesteps; ++t) {
+    for (int n = 0; n < num; ++n) {
+      this->blob_bottom_cont_.mutable_cpu_data()[t * num + n] = t > 0;
+    }
+  }
+
+  // Process the full sequence in a single batch.
+  FillerParameter filler_param;
+  filler_param.set_mean(0);
+  filler_param.set_std(1);
+  GaussianFiller<Dtype> sequence_filler(filler_param);
+  sequence_filler.Fill(&this->blob_bottom_);
+  this->layer_param_.set_forward_type(tp<Dtype>());
+  this->layer_param_.set_backward_type(tp<Dtype>());
+  this->layer_param_.set_forward_math(tp<Dtype>());
+  this->layer_param_.set_backward_math(tp<Dtype>());
+  shared_ptr<RNNLayer<Dtype, Dtype> > layer(new RNNLayer<Dtype, Dtype>(this->layer_param_));
+  Caffe::set_random_seed(1701);
+  layer->SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
+  LOG(INFO) << "Calling forward for full sequence RNN";
+  layer->Forward(this->blob_bottom_vec_, this->blob_top_vec_);
+
+  // Copy the inputs and outputs to reuse/check them later.
+  TBlob<Dtype> bottom_copy(this->blob_bottom_.shape());
+  bottom_copy.CopyFrom(this->blob_bottom_);
+  TBlob<Dtype> top_copy(this->blob_top_.shape());
+  top_copy.CopyFrom(this->blob_top_);
+
+  // Process the batch one timestep at a time;
+  // check that we get the same result.
+  this->ReshapeBlobs(1, num);
+  layer.reset(new RNNLayer<Dtype, Dtype>(this->layer_param_));
+  Caffe::set_random_seed(1701);
+  layer->SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
+  const int bottom_count = this->blob_bottom_.count();
+  const int top_count = this->blob_top_.count();
+  const Dtype kEpsilon = 1e-5;
+  for (int t = 0; t < kNumTimesteps; ++t) {
+    caffe_copy(bottom_count, bottom_copy.cpu_data() + t * bottom_count,
+               this->blob_bottom_.mutable_cpu_data());
+    for (int n = 0; n < num; ++n) {
+      this->blob_bottom_cont_.mutable_cpu_data()[n] = t > 0;
+    }
+    LOG(INFO) << "Calling forward for RNN timestep " << t;
+    layer->Forward(this->blob_bottom_vec_, this->blob_top_vec_);
+    for (int i = 0; i < top_count; ++i) {
+      ASSERT_LT(t * top_count + i, top_copy.count());
+      EXPECT_NEAR(this->blob_top_.cpu_data()[i],
+                  top_copy.cpu_data()[t * top_count + i], kEpsilon)
+         << "t = " << t << "; i = " << i;
+    }
+  }
+
+  // Process the batch one timestep at a time with all cont blobs set to 0.
+  // Check that we get a different result, except in the first timestep.
+  Caffe::set_random_seed(1701);
+  layer.reset(new RNNLayer<Dtype, Dtype>(this->layer_param_));
+  layer->SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
+  for (int t = 0; t < kNumTimesteps; ++t) {
+    caffe_copy(bottom_count, bottom_copy.cpu_data() + t * bottom_count,
+               this->blob_bottom_.mutable_cpu_data());
+    for (int n = 0; n < num; ++n) {
+      this->blob_bottom_cont_.mutable_cpu_data()[n] = 0;
+    }
+    LOG(INFO) << "Calling forward for RNN timestep " << t;
+    layer->Forward(this->blob_bottom_vec_, this->blob_top_vec_);
+    for (int i = 0; i < top_count; ++i) {
+      if (t == 0) {
+        EXPECT_NEAR(this->blob_top_.cpu_data()[i],
+                    top_copy.cpu_data()[t * top_count + i], kEpsilon)
+           << "t = " << t << "; i = " << i;
+      } else {
+        EXPECT_NE(this->blob_top_.cpu_data()[i],
+                  top_copy.cpu_data()[t * top_count + i])
+           << "t = " << t << "; i = " << i;
+      }
+    }
+  }
+}
+
+TYPED_TEST(RNNLayerTest, TestGradient) {
+  typedef typename TypeParam::Dtype Dtype;
+  this->layer_param_.set_forward_type(tp<Dtype>());
+  this->layer_param_.set_backward_type(tp<Dtype>());
+  this->layer_param_.set_forward_math(tp<Dtype>());
+  this->layer_param_.set_backward_math(tp<Dtype>());
+  RNNLayer<Dtype, Dtype> layer(this->layer_param_);
+  GradientChecker<Dtype> checker(tol<Dtype>(1e-2, 1e-1), tol<Dtype>(1e-3, 1e-2));
+  checker.CheckGradientExhaustive(&layer, this->blob_bottom_vec_,
+      this->blob_top_vec_, 0);
+}
+
+TYPED_TEST(RNNLayerTest, TestGradientNonZeroCont) {
+  typedef typename TypeParam::Dtype Dtype;
+  this->layer_param_.set_forward_type(tp<Dtype>());
+  this->layer_param_.set_backward_type(tp<Dtype>());
+  this->layer_param_.set_forward_math(tp<Dtype>());
+  this->layer_param_.set_backward_math(tp<Dtype>());
+  RNNLayer<Dtype, Dtype> layer(this->layer_param_);
+  GradientChecker<Dtype> checker(tol<Dtype>(1e-2, 1e-1), tol<Dtype>(1e-3, 1e-2));
+  for (int i = 0; i < this->blob_bottom_cont_.count(); ++i) {
+    this->blob_bottom_cont_.mutable_cpu_data()[i] = i > 2;
+  }
+  checker.CheckGradientExhaustive(&layer, this->blob_bottom_vec_,
+      this->blob_top_vec_, 0);
+}
+
+TYPED_TEST(RNNLayerTest, TestGradientNonZeroContBufferSize2) {
+  typedef typename TypeParam::Dtype Dtype;
+  this->ReshapeBlobs(2, 2);
+  // fill the values
+  FillerParameter filler_param;
+  UniformFiller<Dtype> filler(filler_param);
+  filler.Fill(&this->blob_bottom_);
+  this->layer_param_.set_forward_type(tp<Dtype>());
+  this->layer_param_.set_backward_type(tp<Dtype>());
+  this->layer_param_.set_forward_math(tp<Dtype>());
+  this->layer_param_.set_backward_math(tp<Dtype>());
+  RNNLayer<Dtype, Dtype> layer(this->layer_param_);
+  GradientChecker<Dtype> checker(tol<Dtype>(1e-2, 1e-1), tol<Dtype>(1e-3, 1e-2));
+  for (int i = 0; i < this->blob_bottom_cont_.count(); ++i) {
+    this->blob_bottom_cont_.mutable_cpu_data()[i] = i > 2;
+  }
+  checker.CheckGradientExhaustive(&layer, this->blob_bottom_vec_,
+      this->blob_top_vec_, 0);
+}
+
+TYPED_TEST(RNNLayerTest, TestGradientNonZeroContBufferSize2WithStaticInput) {
+  typedef typename TypeParam::Dtype Dtype;
+  this->ReshapeBlobs(2, 2);
+  FillerParameter filler_param;
+  UniformFiller<Dtype> filler(filler_param);
+  filler.Fill(&this->blob_bottom_);
+  filler.Fill(&this->blob_bottom_static_);
+  this->blob_bottom_vec_.push_back(&this->blob_bottom_static_);
+  this->layer_param_.set_forward_type(tp<Dtype>());
+  this->layer_param_.set_backward_type(tp<Dtype>());
+  this->layer_param_.set_forward_math(tpmax<Dtype, float>());
+  this->layer_param_.set_backward_math(tpmax<Dtype, float>());
+  RNNLayer<Dtype, Dtype> layer(this->layer_param_);
+  GradientChecker<Dtype> checker(tol<Dtype>(1e-2, 1e-1), tol<Dtype>(1e-3, 1e-2));
+  for (int i = 0; i < this->blob_bottom_cont_.count(); ++i) {
+    this->blob_bottom_cont_.mutable_cpu_data()[i] = i > 2;
+  }
+  checker.CheckGradientExhaustive(&layer, this->blob_bottom_vec_,
+      this->blob_top_vec_, 0);
+  checker.CheckGradientExhaustive(&layer, this->blob_bottom_vec_,
+      this->blob_top_vec_, 2);
+}
+
+}  // namespace caffe
diff --git a/src/caffe/test/test_stochastic_pooling.cpp b/src/caffe/test/test_stochastic_pooling.cpp
index a1fa436dbed..7990a6c7b10 100644
--- a/src/caffe/test/test_stochastic_pooling.cpp
+++ b/src/caffe/test/test_stochastic_pooling.cpp
@@ -76,6 +76,10 @@ TYPED_TEST_CASE(GPUStochasticPoolingLayerTest, TestDtypes);
 TYPED_TEST(GPUStochasticPoolingLayerTest, TestStochastic) {
   LayerParameter layer_param;
   layer_param.set_phase(TRAIN);
+  layer_param.set_forward_type(tp<TypeParam>());
+  layer_param.set_backward_type(tp<TypeParam>());
+  layer_param.set_forward_math(tp<TypeParam>());
+  layer_param.set_backward_math(tp<TypeParam>());
   PoolingParameter* pooling_param = layer_param.mutable_pooling_param();
   pooling_param->set_kernel_size(3);
   pooling_param->set_stride(2);
@@ -119,6 +123,10 @@ TYPED_TEST(GPUStochasticPoolingLayerTest, TestStochastic) {
 TYPED_TEST(GPUStochasticPoolingLayerTest, TestStochasticTestPhase) {
   LayerParameter layer_param;
   layer_param.set_phase(TEST);
+  layer_param.set_forward_type(tp<TypeParam>());
+  layer_param.set_backward_type(tp<TypeParam>());
+  layer_param.set_forward_math(tp<TypeParam>());
+  layer_param.set_backward_math(tp<TypeParam>());
   PoolingParameter* pooling_param = layer_param.mutable_pooling_param();
   pooling_param->set_kernel_size(3);
   pooling_param->set_stride(2);
@@ -154,21 +162,22 @@ TYPED_TEST(GPUStochasticPoolingLayerTest, TestStochasticTestPhase) {
 }
 
 TYPED_TEST(GPUStochasticPoolingLayerTest, TestGradient) {
-  if (!is_precise<TypeParam>()) {
-    return;
-  }
   LayerParameter layer_param;
   layer_param.set_phase(TRAIN);
+  layer_param.set_forward_type(tp<TypeParam>());
+  layer_param.set_backward_type(tp<TypeParam>());
+  layer_param.set_forward_math(tp<TypeParam>());
+  layer_param.set_backward_math(tp<TypeParam>());
   PoolingParameter* pooling_param = layer_param.mutable_pooling_param();
   pooling_param->set_kernel_size(3);
   pooling_param->set_stride(2);
   pooling_param->set_pool(PoolingParameter_PoolMethod_STOCHASTIC);
   PoolingLayer<TypeParam, TypeParam> layer(layer_param);
-  GradientChecker<TypeParam> checker(tol<TypeParam>(1e-4, 3e-3), tol<TypeParam>(1e-2, 1e-1));
+  GradientChecker<TypeParam> checker(tol<TypeParam>(1e-4, 3e-3), tol<TypeParam>(1e-1, 1e-1),
+                                     1701, 0.F, 1.F);
   // it is too expensive to call curand multiple times, so we don't do an
   // exhaustive gradient check.
-  checker.CheckGradient(&layer, this->blob_bottom_vec_,
-      this->blob_top_vec_);
+  checker.CheckGradient(&layer, this->blob_bottom_vec_, this->blob_top_vec_);
 }
 
 }  // namespace caffe
diff --git a/src/caffe/util/bbox_util.cpp b/src/caffe/util/bbox_util.cpp
new file mode 100644
index 00000000000..4b96925e1d4
--- /dev/null
+++ b/src/caffe/util/bbox_util.cpp
@@ -0,0 +1,2304 @@
+#include <algorithm>
+#include <csignal>
+#include <ctime>
+#include <functional>
+#include <map>
+#include <set>
+#include <string>
+#include <utility>
+#include <vector>
+
+#include "boost/iterator/counting_iterator.hpp"
+
+#include "caffe/util/bbox_util.hpp"
+
+namespace caffe {
+
+bool SortBBoxAscend(const NormalizedBBox& bbox1, const NormalizedBBox& bbox2) {
+  return bbox1.score() < bbox2.score();
+}
+
+bool SortBBoxDescend(const NormalizedBBox& bbox1, const NormalizedBBox& bbox2) {
+  return bbox1.score() > bbox2.score();
+}
+
+template <typename T>
+bool SortScorePairAscend(const pair<float, T>& pair1,
+                         const pair<float, T>& pair2) {
+  return pair1.first < pair2.first;
+}
+
+// Explicit initialization.
+template bool SortScorePairAscend(const pair<float, int>& pair1,
+                                  const pair<float, int>& pair2);
+template bool SortScorePairAscend(const pair<float, pair<int, int> >& pair1,
+                                  const pair<float, pair<int, int> >& pair2);
+
+template <typename T>
+bool SortScorePairDescend(const pair<float, T>& pair1,
+                          const pair<float, T>& pair2) {
+  return pair1.first > pair2.first;
+}
+
+// Explicit initialization.
+template bool SortScorePairDescend(const pair<float, int>& pair1,
+                                   const pair<float, int>& pair2);
+template bool SortScorePairDescend(const pair<float, pair<int, int> >& pair1,
+                                   const pair<float, pair<int, int> >& pair2);
+
+NormalizedBBox UnitBBox() {
+  NormalizedBBox unit_bbox;
+  unit_bbox.set_xmin(0.);
+  unit_bbox.set_ymin(0.);
+  unit_bbox.set_xmax(1.);
+  unit_bbox.set_ymax(1.);
+  return unit_bbox;
+}
+
+bool IsCrossBoundaryBBox(const NormalizedBBox& bbox) {
+  return bbox.xmin() < 0 || bbox.xmin() > 1 ||
+      bbox.ymin() < 0 || bbox.ymin() > 1 ||
+      bbox.xmax() < 0 || bbox.xmax() > 1 ||
+      bbox.ymax() < 0 || bbox.ymax() > 1;
+}
+
+void IntersectBBox(const NormalizedBBox& bbox1, const NormalizedBBox& bbox2,
+                   NormalizedBBox* intersect_bbox) {
+  if (bbox2.xmin() > bbox1.xmax() || bbox2.xmax() < bbox1.xmin() ||
+      bbox2.ymin() > bbox1.ymax() || bbox2.ymax() < bbox1.ymin()) {
+    // Return [0, 0, 0, 0] if there is no intersection.
+    intersect_bbox->set_xmin(0);
+    intersect_bbox->set_ymin(0);
+    intersect_bbox->set_xmax(0);
+    intersect_bbox->set_ymax(0);
+  } else {
+    intersect_bbox->set_xmin(std::max(bbox1.xmin(), bbox2.xmin()));
+    intersect_bbox->set_ymin(std::max(bbox1.ymin(), bbox2.ymin()));
+    intersect_bbox->set_xmax(std::min(bbox1.xmax(), bbox2.xmax()));
+    intersect_bbox->set_ymax(std::min(bbox1.ymax(), bbox2.ymax()));
+  }
+}
+
+float BBoxSize(const NormalizedBBox& bbox, const bool normalized) {
+  if (bbox.xmax() < bbox.xmin() || bbox.ymax() < bbox.ymin()) {
+    // If bbox is invalid (e.g. xmax < xmin or ymax < ymin), return 0.
+    return 0;
+  } else {
+    if (bbox.has_size()) {
+      return bbox.size();
+    } else {
+      float width = bbox.xmax() - bbox.xmin();
+      float height = bbox.ymax() - bbox.ymin();
+      if (normalized) {
+        return width * height;
+      } else {
+        // If bbox is not within range [0, 1].
+        return (width + 1) * (height + 1);
+      }
+    }
+  }
+}
+
+template <typename Dtype>
+Dtype BBoxSize(const Dtype* bbox, const bool normalized) {
+  if (bbox[2] < bbox[0] || bbox[3] < bbox[1]) {
+    // If bbox is invalid (e.g. xmax < xmin or ymax < ymin), return 0.
+    return Dtype(0.);
+  } else {
+    const Dtype width = bbox[2] - bbox[0];
+    const Dtype height = bbox[3] - bbox[1];
+    if (normalized) {
+      return width * height;
+    } else {
+      // If bbox is not within range [0, 1].
+      return (width + 1) * (height + 1);
+    }
+  }
+}
+
+template float BBoxSize(const float* bbox, const bool normalized);
+template double BBoxSize(const double* bbox, const bool normalized);
+
+void ClipBBox(const NormalizedBBox& bbox, NormalizedBBox* clip_bbox) {
+  clip_bbox->set_xmin(std::max(std::min(bbox.xmin(), 1.f), 0.f));
+  clip_bbox->set_ymin(std::max(std::min(bbox.ymin(), 1.f), 0.f));
+  clip_bbox->set_xmax(std::max(std::min(bbox.xmax(), 1.f), 0.f));
+  clip_bbox->set_ymax(std::max(std::min(bbox.ymax(), 1.f), 0.f));
+  clip_bbox->clear_size();
+  clip_bbox->set_size(BBoxSize(*clip_bbox));
+  clip_bbox->set_difficult(bbox.difficult());
+}
+
+void ClipBBox(const NormalizedBBox& bbox, const float height, const float width,
+              NormalizedBBox* clip_bbox) {
+  clip_bbox->set_xmin(std::max(std::min(bbox.xmin(), width), 0.f));
+  clip_bbox->set_ymin(std::max(std::min(bbox.ymin(), height), 0.f));
+  clip_bbox->set_xmax(std::max(std::min(bbox.xmax(), width), 0.f));
+  clip_bbox->set_ymax(std::max(std::min(bbox.ymax(), height), 0.f));
+  clip_bbox->clear_size();
+  clip_bbox->set_size(BBoxSize(*clip_bbox));
+  clip_bbox->set_difficult(bbox.difficult());
+}
+
+void ScaleBBox(const NormalizedBBox& bbox, const int height, const int width,
+               NormalizedBBox* scale_bbox) {
+  scale_bbox->set_xmin(bbox.xmin() * width);
+  scale_bbox->set_ymin(bbox.ymin() * height);
+  scale_bbox->set_xmax(bbox.xmax() * width);
+  scale_bbox->set_ymax(bbox.ymax() * height);
+  scale_bbox->clear_size();
+  bool normalized = !(width > 1 || height > 1);
+  scale_bbox->set_size(BBoxSize(*scale_bbox, normalized));
+  scale_bbox->set_difficult(bbox.difficult());
+}
+
+void OutputBBox(const NormalizedBBox& bbox, const pair<int, int>& img_size,
+                const bool has_resize, const ResizeParameter& resize_param,
+                NormalizedBBox* out_bbox) {
+  const int height = img_size.first;
+  const int width = img_size.second;
+  NormalizedBBox temp_bbox = bbox;
+  if (has_resize && resize_param.resize_mode()) {
+    float resize_height = resize_param.height();
+    CHECK_GT(resize_height, 0);
+    float resize_width = resize_param.width();
+    CHECK_GT(resize_width, 0);
+    float resize_aspect = resize_width / resize_height;
+    int height_scale = resize_param.height_scale();
+    int width_scale = resize_param.width_scale();
+    float aspect = static_cast<float>(width) / height;
+
+    float padding;
+    NormalizedBBox source_bbox;
+    switch (resize_param.resize_mode()) {
+      case ResizeParameter_Resize_mode_WARP:
+        ClipBBox(temp_bbox, &temp_bbox);
+        ScaleBBox(temp_bbox, height, width, out_bbox);
+        break;
+      case ResizeParameter_Resize_mode_FIT_LARGE_SIZE_AND_PAD:
+        if (aspect > resize_aspect) {
+          padding = (resize_height - resize_width / aspect) / 2;
+          source_bbox.set_xmin(0.);
+          source_bbox.set_ymin(padding / resize_height);
+          source_bbox.set_xmax(1.);
+          source_bbox.set_ymax(1. - padding / resize_height);
+        } else {
+          padding = (resize_width - resize_height * aspect) / 2;
+          source_bbox.set_xmin(padding / resize_width);
+          source_bbox.set_ymin(0.);
+          source_bbox.set_xmax(1. - padding / resize_width);
+          source_bbox.set_ymax(1.);
+        }
+        ProjectBBox(source_bbox, bbox, &temp_bbox);
+        ClipBBox(temp_bbox, &temp_bbox);
+        ScaleBBox(temp_bbox, height, width, out_bbox);
+        break;
+      case ResizeParameter_Resize_mode_FIT_SMALL_SIZE:
+        if (height_scale == 0 || width_scale == 0) {
+          ClipBBox(temp_bbox, &temp_bbox);
+          ScaleBBox(temp_bbox, height, width, out_bbox);
+        } else {
+          ScaleBBox(temp_bbox, height_scale, width_scale, out_bbox);
+          ClipBBox(*out_bbox, height, width, out_bbox);
+        }
+        break;
+      default:
+        LOG(FATAL) << "Unknown resize mode.";
+    }
+  } else {
+    // Clip the normalized bbox first.
+    ClipBBox(temp_bbox, &temp_bbox);
+    // Scale the bbox according to the original image size.
+    ScaleBBox(temp_bbox, height, width, out_bbox);
+  }
+}
+
+void LocateBBox(const NormalizedBBox& src_bbox, const NormalizedBBox& bbox,
+                NormalizedBBox* loc_bbox) {
+  float src_width = src_bbox.xmax() - src_bbox.xmin();
+  float src_height = src_bbox.ymax() - src_bbox.ymin();
+  loc_bbox->set_xmin(src_bbox.xmin() + bbox.xmin() * src_width);
+  loc_bbox->set_ymin(src_bbox.ymin() + bbox.ymin() * src_height);
+  loc_bbox->set_xmax(src_bbox.xmin() + bbox.xmax() * src_width);
+  loc_bbox->set_ymax(src_bbox.ymin() + bbox.ymax() * src_height);
+  loc_bbox->set_difficult(bbox.difficult());
+}
+
+bool ProjectBBox(const NormalizedBBox& src_bbox, const NormalizedBBox& bbox,
+                 NormalizedBBox* proj_bbox) {
+  if (bbox.xmin() >= src_bbox.xmax() || bbox.xmax() <= src_bbox.xmin() ||
+      bbox.ymin() >= src_bbox.ymax() || bbox.ymax() <= src_bbox.ymin()) {
+    return false;
+  }
+  float src_width = src_bbox.xmax() - src_bbox.xmin();
+  float src_height = src_bbox.ymax() - src_bbox.ymin();
+  proj_bbox->set_xmin((bbox.xmin() - src_bbox.xmin()) / src_width);
+  proj_bbox->set_ymin((bbox.ymin() - src_bbox.ymin()) / src_height);
+  proj_bbox->set_xmax((bbox.xmax() - src_bbox.xmin()) / src_width);
+  proj_bbox->set_ymax((bbox.ymax() - src_bbox.ymin()) / src_height);
+  proj_bbox->set_difficult(bbox.difficult());
+  ClipBBox(*proj_bbox, proj_bbox);
+  if (BBoxSize(*proj_bbox) > 0) {
+    return true;
+  } else {
+    return false;
+  }
+}
+
+void ExtrapolateBBox(const ResizeParameter& param, const int height,
+    const int width, const NormalizedBBox& crop_bbox, NormalizedBBox* bbox) {
+  float height_scale = param.height_scale();
+  float width_scale = param.width_scale();
+  if (height_scale > 0 && width_scale > 0 &&
+      param.resize_mode() == ResizeParameter_Resize_mode_FIT_SMALL_SIZE) {
+    float orig_aspect = static_cast<float>(width) / height;
+    float resize_height = param.height();
+    float resize_width = param.width();
+    float resize_aspect = resize_width / resize_height;
+    if (orig_aspect < resize_aspect) {
+      resize_height = resize_width / orig_aspect;
+    } else {
+      resize_width = resize_height * orig_aspect;
+    }
+    float crop_height = resize_height * (crop_bbox.ymax() - crop_bbox.ymin());
+    float crop_width = resize_width * (crop_bbox.xmax() - crop_bbox.xmin());
+    CHECK_GE(crop_width, width_scale);
+    CHECK_GE(crop_height, height_scale);
+    bbox->set_xmin(bbox->xmin() * crop_width / width_scale);
+    bbox->set_xmax(bbox->xmax() * crop_width / width_scale);
+    bbox->set_ymin(bbox->ymin() * crop_height / height_scale);
+    bbox->set_ymax(bbox->ymax() * crop_height / height_scale);
+  }
+}
+
+float JaccardOverlap(const NormalizedBBox& bbox1, const NormalizedBBox& bbox2,
+                     const bool normalized) {
+  NormalizedBBox intersect_bbox;
+  IntersectBBox(bbox1, bbox2, &intersect_bbox);
+  float intersect_width, intersect_height;
+  if (normalized) {
+    intersect_width = intersect_bbox.xmax() - intersect_bbox.xmin();
+    intersect_height = intersect_bbox.ymax() - intersect_bbox.ymin();
+  } else {
+    intersect_width = intersect_bbox.xmax() - intersect_bbox.xmin() + 1;
+    intersect_height = intersect_bbox.ymax() - intersect_bbox.ymin() + 1;
+  }
+  if (intersect_width > 0 && intersect_height > 0) {
+    float intersect_size = intersect_width * intersect_height;
+    float bbox1_size = BBoxSize(bbox1);
+    float bbox2_size = BBoxSize(bbox2);
+    return intersect_size / (bbox1_size + bbox2_size - intersect_size);
+  } else {
+    return 0.;
+  }
+}
+
+template <typename Dtype>
+Dtype JaccardOverlap(const Dtype* bbox1, const Dtype* bbox2) {
+  if (bbox2[0] > bbox1[2] || bbox2[2] < bbox1[0] ||
+      bbox2[1] > bbox1[3] || bbox2[3] < bbox1[1]) {
+    return Dtype(0.);
+  } else {
+    const Dtype inter_xmin = std::max(bbox1[0], bbox2[0]);
+    const Dtype inter_ymin = std::max(bbox1[1], bbox2[1]);
+    const Dtype inter_xmax = std::min(bbox1[2], bbox2[2]);
+    const Dtype inter_ymax = std::min(bbox1[3], bbox2[3]);
+
+    const Dtype inter_width = inter_xmax - inter_xmin;
+    const Dtype inter_height = inter_ymax - inter_ymin;
+    const Dtype inter_size = inter_width * inter_height;
+
+    const Dtype bbox1_size = BBoxSize(bbox1);
+    const Dtype bbox2_size = BBoxSize(bbox2);
+
+    return inter_size / (bbox1_size + bbox2_size - inter_size);
+  }
+}
+
+template float JaccardOverlap(const float* bbox1, const float* bbox2);
+template double JaccardOverlap(const double* bbox1, const double* bbox2);
+template float16 JaccardOverlap(const float16* bbox1, const float16* bbox2);
+
+float BBoxCoverage(const NormalizedBBox& bbox1, const NormalizedBBox& bbox2) {
+  NormalizedBBox intersect_bbox;
+  IntersectBBox(bbox1, bbox2, &intersect_bbox);
+  float intersect_size = BBoxSize(intersect_bbox);
+  if (intersect_size > 0) {
+    float bbox1_size = BBoxSize(bbox1);
+    return intersect_size / bbox1_size;
+  } else {
+    return 0.;
+  }
+}
+
+bool MeetEmitConstraint(const NormalizedBBox& src_bbox,
+                        const NormalizedBBox& bbox,
+                        const EmitConstraint& emit_constraint) {
+  EmitType emit_type = emit_constraint.emit_type();
+  if (emit_type == EmitConstraint_EmitType_CENTER) {
+    float x_center = (bbox.xmin() + bbox.xmax()) / 2;
+    float y_center = (bbox.ymin() + bbox.ymax()) / 2;
+    if (x_center >= src_bbox.xmin() && x_center <= src_bbox.xmax() &&
+        y_center >= src_bbox.ymin() && y_center <= src_bbox.ymax()) {
+      return true;
+    } else {
+      return false;
+    }
+  } else if (emit_type == EmitConstraint_EmitType_MIN_OVERLAP) {
+    float bbox_coverage = BBoxCoverage(bbox, src_bbox);
+    return bbox_coverage > emit_constraint.emit_overlap();
+  } else {
+    LOG(FATAL) << "Unknown emit type.";
+    return false;
+  }
+}
+
+void EncodeBBox(
+    const NormalizedBBox& prior_bbox, const vector<float>& prior_variance,
+    const CodeType code_type, const bool encode_variance_in_target,
+    const NormalizedBBox& bbox, NormalizedBBox* encode_bbox) {
+  if (code_type == PriorBoxParameter_CodeType_CORNER) {
+    if (encode_variance_in_target) {
+      encode_bbox->set_xmin(bbox.xmin() - prior_bbox.xmin());
+      encode_bbox->set_ymin(bbox.ymin() - prior_bbox.ymin());
+      encode_bbox->set_xmax(bbox.xmax() - prior_bbox.xmax());
+      encode_bbox->set_ymax(bbox.ymax() - prior_bbox.ymax());
+    } else {
+      // Encode variance in bbox.
+      CHECK_EQ(prior_variance.size(), 4);
+      for (int i = 0; i < prior_variance.size(); ++i) {
+        CHECK_GT(prior_variance[i], 0);
+      }
+      encode_bbox->set_xmin(
+          (bbox.xmin() - prior_bbox.xmin()) / prior_variance[0]);
+      encode_bbox->set_ymin(
+          (bbox.ymin() - prior_bbox.ymin()) / prior_variance[1]);
+      encode_bbox->set_xmax(
+          (bbox.xmax() - prior_bbox.xmax()) / prior_variance[2]);
+      encode_bbox->set_ymax(
+          (bbox.ymax() - prior_bbox.ymax()) / prior_variance[3]);
+    }
+  } else if (code_type == PriorBoxParameter_CodeType_CENTER_SIZE) {
+    float prior_width = prior_bbox.xmax() - prior_bbox.xmin();
+    CHECK_GT(prior_width, 0);
+    float prior_height = prior_bbox.ymax() - prior_bbox.ymin();
+    CHECK_GT(prior_height, 0);
+    float prior_center_x = (prior_bbox.xmin() + prior_bbox.xmax()) / 2.;
+    float prior_center_y = (prior_bbox.ymin() + prior_bbox.ymax()) / 2.;
+
+    float bbox_width = bbox.xmax() - bbox.xmin();
+    CHECK_GT(bbox_width, 0);
+    float bbox_height = bbox.ymax() - bbox.ymin();
+    CHECK_GT(bbox_height, 0);
+    float bbox_center_x = (bbox.xmin() + bbox.xmax()) / 2.;
+    float bbox_center_y = (bbox.ymin() + bbox.ymax()) / 2.;
+
+    if (encode_variance_in_target) {
+      encode_bbox->set_xmin((bbox_center_x - prior_center_x) / prior_width);
+      encode_bbox->set_ymin((bbox_center_y - prior_center_y) / prior_height);
+      encode_bbox->set_xmax(log(bbox_width / prior_width));
+      encode_bbox->set_ymax(log(bbox_height / prior_height));
+    } else {
+      // Encode variance in bbox.
+      encode_bbox->set_xmin(
+          (bbox_center_x - prior_center_x) / prior_width / prior_variance[0]);
+      encode_bbox->set_ymin(
+          (bbox_center_y - prior_center_y) / prior_height / prior_variance[1]);
+      encode_bbox->set_xmax(
+          log(bbox_width / prior_width) / prior_variance[2]);
+      encode_bbox->set_ymax(
+          log(bbox_height / prior_height) / prior_variance[3]);
+    }
+  } else if (code_type == PriorBoxParameter_CodeType_CORNER_SIZE) {
+    float prior_width = prior_bbox.xmax() - prior_bbox.xmin();
+    CHECK_GT(prior_width, 0);
+    float prior_height = prior_bbox.ymax() - prior_bbox.ymin();
+    CHECK_GT(prior_height, 0);
+    if (encode_variance_in_target) {
+      encode_bbox->set_xmin((bbox.xmin() - prior_bbox.xmin()) / prior_width);
+      encode_bbox->set_ymin((bbox.ymin() - prior_bbox.ymin()) / prior_height);
+      encode_bbox->set_xmax((bbox.xmax() - prior_bbox.xmax()) / prior_width);
+      encode_bbox->set_ymax((bbox.ymax() - prior_bbox.ymax()) / prior_height);
+    } else {
+      // Encode variance in bbox.
+      CHECK_EQ(prior_variance.size(), 4);
+      for (int i = 0; i < prior_variance.size(); ++i) {
+        CHECK_GT(prior_variance[i], 0);
+      }
+      encode_bbox->set_xmin(
+          (bbox.xmin() - prior_bbox.xmin()) / prior_width / prior_variance[0]);
+      encode_bbox->set_ymin(
+          (bbox.ymin() - prior_bbox.ymin()) / prior_height / prior_variance[1]);
+      encode_bbox->set_xmax(
+          (bbox.xmax() - prior_bbox.xmax()) / prior_width / prior_variance[2]);
+      encode_bbox->set_ymax(
+          (bbox.ymax() - prior_bbox.ymax()) / prior_height / prior_variance[3]);
+    }
+  } else {
+    LOG(FATAL) << "Unknown LocLossType.";
+  }
+}
+
+void DecodeBBox(
+    const NormalizedBBox& prior_bbox, const vector<float>& prior_variance,
+    const CodeType code_type, const bool variance_encoded_in_target,
+    const bool clip_bbox, const NormalizedBBox& bbox,
+    NormalizedBBox* decode_bbox) {
+  if (code_type == PriorBoxParameter_CodeType_CORNER) {
+    if (variance_encoded_in_target) {
+      // variance is encoded in target, we simply need to add the offset
+      // predictions.
+      decode_bbox->set_xmin(prior_bbox.xmin() + bbox.xmin());
+      decode_bbox->set_ymin(prior_bbox.ymin() + bbox.ymin());
+      decode_bbox->set_xmax(prior_bbox.xmax() + bbox.xmax());
+      decode_bbox->set_ymax(prior_bbox.ymax() + bbox.ymax());
+    } else {
+      // variance is encoded in bbox, we need to scale the offset accordingly.
+      decode_bbox->set_xmin(
+          prior_bbox.xmin() + prior_variance[0] * bbox.xmin());
+      decode_bbox->set_ymin(
+          prior_bbox.ymin() + prior_variance[1] * bbox.ymin());
+      decode_bbox->set_xmax(
+          prior_bbox.xmax() + prior_variance[2] * bbox.xmax());
+      decode_bbox->set_ymax(
+          prior_bbox.ymax() + prior_variance[3] * bbox.ymax());
+    }
+  } else if (code_type == PriorBoxParameter_CodeType_CENTER_SIZE) {
+    float prior_width = prior_bbox.xmax() - prior_bbox.xmin();
+    CHECK_GT(prior_width, 0);
+    float prior_height = prior_bbox.ymax() - prior_bbox.ymin();
+    CHECK_GT(prior_height, 0);
+    float prior_center_x = (prior_bbox.xmin() + prior_bbox.xmax()) / 2.;
+    float prior_center_y = (prior_bbox.ymin() + prior_bbox.ymax()) / 2.;
+
+    float decode_bbox_center_x, decode_bbox_center_y;
+    float decode_bbox_width, decode_bbox_height;
+    if (variance_encoded_in_target) {
+      // variance is encoded in target, we simply need to retore the offset
+      // predictions.
+      decode_bbox_center_x = bbox.xmin() * prior_width + prior_center_x;
+      decode_bbox_center_y = bbox.ymin() * prior_height + prior_center_y;
+      decode_bbox_width = exp(bbox.xmax()) * prior_width;
+      decode_bbox_height = exp(bbox.ymax()) * prior_height;
+    } else {
+      // variance is encoded in bbox, we need to scale the offset accordingly.
+      decode_bbox_center_x =
+          prior_variance[0] * bbox.xmin() * prior_width + prior_center_x;
+      decode_bbox_center_y =
+          prior_variance[1] * bbox.ymin() * prior_height + prior_center_y;
+      decode_bbox_width =
+          exp(prior_variance[2] * bbox.xmax()) * prior_width;
+      decode_bbox_height =
+          exp(prior_variance[3] * bbox.ymax()) * prior_height;
+    }
+
+    decode_bbox->set_xmin(decode_bbox_center_x - decode_bbox_width / 2.);
+    decode_bbox->set_ymin(decode_bbox_center_y - decode_bbox_height / 2.);
+    decode_bbox->set_xmax(decode_bbox_center_x + decode_bbox_width / 2.);
+    decode_bbox->set_ymax(decode_bbox_center_y + decode_bbox_height / 2.);
+  } else if (code_type == PriorBoxParameter_CodeType_CORNER_SIZE) {
+    float prior_width = prior_bbox.xmax() - prior_bbox.xmin();
+    CHECK_GT(prior_width, 0);
+    float prior_height = prior_bbox.ymax() - prior_bbox.ymin();
+    CHECK_GT(prior_height, 0);
+    if (variance_encoded_in_target) {
+      // variance is encoded in target, we simply need to add the offset
+      // predictions.
+      decode_bbox->set_xmin(prior_bbox.xmin() + bbox.xmin() * prior_width);
+      decode_bbox->set_ymin(prior_bbox.ymin() + bbox.ymin() * prior_height);
+      decode_bbox->set_xmax(prior_bbox.xmax() + bbox.xmax() * prior_width);
+      decode_bbox->set_ymax(prior_bbox.ymax() + bbox.ymax() * prior_height);
+    } else {
+      // variance is encoded in bbox, we need to scale the offset accordingly.
+      decode_bbox->set_xmin(
+          prior_bbox.xmin() + prior_variance[0] * bbox.xmin() * prior_width);
+      decode_bbox->set_ymin(
+          prior_bbox.ymin() + prior_variance[1] * bbox.ymin() * prior_height);
+      decode_bbox->set_xmax(
+          prior_bbox.xmax() + prior_variance[2] * bbox.xmax() * prior_width);
+      decode_bbox->set_ymax(
+          prior_bbox.ymax() + prior_variance[3] * bbox.ymax() * prior_height);
+    }
+  } else {
+    LOG(FATAL) << "Unknown LocLossType.";
+  }
+  float bbox_size = BBoxSize(*decode_bbox);
+  decode_bbox->set_size(bbox_size);
+  if (clip_bbox) {
+    ClipBBox(*decode_bbox, decode_bbox);
+  }
+}
+
+void DecodeBBoxes(
+    const vector<NormalizedBBox>& prior_bboxes,
+    const vector<vector<float> >& prior_variances,
+    const CodeType code_type, const bool variance_encoded_in_target,
+    const bool clip_bbox, const vector<NormalizedBBox>& bboxes,
+    vector<NormalizedBBox>* decode_bboxes) {
+  CHECK_EQ(prior_bboxes.size(), prior_variances.size());
+  CHECK_EQ(prior_bboxes.size(), bboxes.size());
+  int num_bboxes = prior_bboxes.size();
+  if (num_bboxes >= 1) {
+    CHECK_EQ(prior_variances[0].size(), 4);
+  }
+  decode_bboxes->clear();
+  for (int i = 0; i < num_bboxes; ++i) {
+    NormalizedBBox decode_bbox;
+    DecodeBBox(prior_bboxes[i], prior_variances[i], code_type,
+               variance_encoded_in_target, clip_bbox, bboxes[i], &decode_bbox);
+    decode_bboxes->push_back(decode_bbox);
+  }
+}
+
+void DecodeBBoxesAll(const vector<LabelBBox>& all_loc_preds,
+    const vector<NormalizedBBox>& prior_bboxes,
+    const vector<vector<float> >& prior_variances,
+    const int num, const bool share_location,
+    const int num_loc_classes, const int background_label_id,
+    const CodeType code_type, const bool variance_encoded_in_target,
+    const bool clip, vector<LabelBBox>* all_decode_bboxes) {
+  CHECK_EQ(all_loc_preds.size(), num);
+  all_decode_bboxes->clear();
+  all_decode_bboxes->resize(num);
+  for (int i = 0; i < num; ++i) {
+    // Decode predictions into bboxes.
+    LabelBBox& decode_bboxes = (*all_decode_bboxes)[i];
+    for (int c = 0; c < num_loc_classes; ++c) {
+      int label = share_location ? -1 : c;
+      if (label == background_label_id) {
+        // Ignore background class.
+        continue;
+      }
+      if (all_loc_preds[i].find(label) == all_loc_preds[i].end()) {
+        // Something bad happened if there are no predictions for current label.
+        LOG(FATAL) << "Could not find location predictions for label " << label;
+      }
+      const vector<NormalizedBBox>& label_loc_preds =
+          all_loc_preds[i].find(label)->second;
+      DecodeBBoxes(prior_bboxes, prior_variances,
+                   code_type, variance_encoded_in_target, clip,
+                   label_loc_preds, &(decode_bboxes[label]));
+    }
+  }
+}
+
+void MatchBBox(const vector<NormalizedBBox>& gt_bboxes,
+    const vector<NormalizedBBox>& pred_bboxes, const int label,
+    const MatchType match_type, const float overlap_threshold,
+    const bool ignore_cross_boundary_bbox,
+    vector<int>* match_indices, vector<float>* match_overlaps) {
+  int num_pred = pred_bboxes.size();
+  match_indices->clear();
+  match_indices->resize(num_pred, -1);
+  match_overlaps->clear();
+  match_overlaps->resize(num_pred, 0.);
+
+  int num_gt = 0;
+  vector<int> gt_indices;
+  if (label == -1) {
+    // label -1 means comparing against all ground truth.
+    num_gt = gt_bboxes.size();
+    for (int i = 0; i < num_gt; ++i) {
+      gt_indices.push_back(i);
+    }
+  } else {
+    // Count number of ground truth boxes which has the desired label.
+    for (int i = 0; i < gt_bboxes.size(); ++i) {
+      if (gt_bboxes[i].label() == label) {
+        num_gt++;
+        gt_indices.push_back(i);
+      }
+    }
+  }
+  if (num_gt == 0) {
+    return;
+  }
+
+  // Store the positive overlap between predictions and ground truth.
+  map<int, map<int, float> > overlaps;
+  for (int i = 0; i < num_pred; ++i) {
+    if (ignore_cross_boundary_bbox && IsCrossBoundaryBBox(pred_bboxes[i])) {
+      (*match_indices)[i] = -2;
+      continue;
+    }
+    for (int j = 0; j < num_gt; ++j) {
+      float overlap = JaccardOverlap(pred_bboxes[i], gt_bboxes[gt_indices[j]]);
+      if (overlap > 1e-6) {
+        (*match_overlaps)[i] = std::max((*match_overlaps)[i], overlap);
+        overlaps[i][j] = overlap;
+      }
+    }
+  }
+
+  // Bipartite matching.
+  vector<int> gt_pool;
+  for (int i = 0; i < num_gt; ++i) {
+    gt_pool.push_back(i);
+  }
+  while (gt_pool.size() > 0) {
+    // Find the most overlapped gt and cooresponding predictions.
+    int max_idx = -1;
+    int max_gt_idx = -1;
+    float max_overlap = -1;
+    for (map<int, map<int, float> >::iterator it = overlaps.begin();
+         it != overlaps.end(); ++it) {
+      int i = it->first;
+      if ((*match_indices)[i] != -1) {
+        // The prediction already has matched ground truth or is ignored.
+        continue;
+      }
+      for (int p = 0; p < gt_pool.size(); ++p) {
+        int j = gt_pool[p];
+        if (it->second.find(j) == it->second.end()) {
+          // No overlap between the i-th prediction and j-th ground truth.
+          continue;
+        }
+        // Find the maximum overlapped pair.
+        if (it->second[j] > max_overlap) {
+          // If the prediction has not been matched to any ground truth,
+          // and the overlap is larger than maximum overlap, update.
+          max_idx = i;
+          max_gt_idx = j;
+          max_overlap = it->second[j];
+        }
+      }
+    }
+    if (max_idx == -1) {
+      // Cannot find good match.
+      break;
+    } else {
+      CHECK_EQ((*match_indices)[max_idx], -1);
+      (*match_indices)[max_idx] = gt_indices[max_gt_idx];
+      (*match_overlaps)[max_idx] = max_overlap;
+      // Erase the ground truth.
+      gt_pool.erase(std::find(gt_pool.begin(), gt_pool.end(), max_gt_idx));
+    }
+  }
+
+  switch (match_type) {
+    case MultiBoxLossParameter_MatchType_BIPARTITE:
+      // Already done.
+      break;
+    case MultiBoxLossParameter_MatchType_PER_PREDICTION:
+      // Get most overlaped for the rest prediction bboxes.
+      for (map<int, map<int, float> >::iterator it = overlaps.begin();
+           it != overlaps.end(); ++it) {
+        int i = it->first;
+        if ((*match_indices)[i] != -1) {
+          // The prediction already has matched ground truth or is ignored.
+          continue;
+        }
+        int max_gt_idx = -1;
+        float max_overlap = -1;
+        for (int j = 0; j < num_gt; ++j) {
+          if (it->second.find(j) == it->second.end()) {
+            // No overlap between the i-th prediction and j-th ground truth.
+            continue;
+          }
+          // Find the maximum overlapped pair.
+          float overlap = it->second[j];
+          if (overlap >= overlap_threshold && overlap > max_overlap) {
+            // If the prediction has not been matched to any ground truth,
+            // and the overlap is larger than maximum overlap, update.
+            max_gt_idx = j;
+            max_overlap = overlap;
+          }
+        }
+        if (max_gt_idx != -1) {
+          // Found a matched ground truth.
+          CHECK_EQ((*match_indices)[i], -1);
+          (*match_indices)[i] = gt_indices[max_gt_idx];
+          (*match_overlaps)[i] = max_overlap;
+        }
+      }
+      break;
+    default:
+      LOG(FATAL) << "Unknown matching type.";
+      break;
+  }
+
+  return;
+}
+
+void FindMatches(const vector<LabelBBox>& all_loc_preds,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      const vector<NormalizedBBox>& prior_bboxes,
+      const vector<vector<float> >& prior_variances,
+      const MultiBoxLossParameter& multibox_loss_param,
+      vector<map<int, vector<float> > >* all_match_overlaps,
+      vector<map<int, vector<int> > >* all_match_indices) {
+  // all_match_overlaps->clear();
+  // all_match_indices->clear();
+  // Get parameters.
+  CHECK(multibox_loss_param.has_num_classes()) << "Must provide num_classes.";
+  const int num_classes = multibox_loss_param.num_classes();
+  CHECK_GE(num_classes, 1) << "num_classes should not be less than 1.";
+  const bool share_location = multibox_loss_param.share_location();
+  const int loc_classes = share_location ? 1 : num_classes;
+  const MatchType match_type = multibox_loss_param.match_type();
+  const float overlap_threshold = multibox_loss_param.overlap_threshold();
+  const bool use_prior_for_matching =
+      multibox_loss_param.use_prior_for_matching();
+  const int background_label_id = multibox_loss_param.background_label_id();
+  const CodeType code_type = multibox_loss_param.code_type();
+  const bool encode_variance_in_target =
+      multibox_loss_param.encode_variance_in_target();
+  const bool ignore_cross_boundary_bbox =
+      multibox_loss_param.ignore_cross_boundary_bbox();
+  // Find the matches.
+  int num = all_loc_preds.size();
+  for (int i = 0; i < num; ++i) {
+    map<int, vector<int> > match_indices;
+    map<int, vector<float> > match_overlaps;
+    // Check if there is ground truth for current image.
+    if (all_gt_bboxes.find(i) == all_gt_bboxes.end()) {
+      // There is no gt for current image. All predictions are negative.
+      all_match_indices->push_back(match_indices);
+      all_match_overlaps->push_back(match_overlaps);
+      continue;
+    }
+    // Find match between predictions and ground truth.
+    const vector<NormalizedBBox>& gt_bboxes = all_gt_bboxes.find(i)->second;
+    if (!use_prior_for_matching) {
+      for (int c = 0; c < loc_classes; ++c) {
+        int label = share_location ? -1 : c;
+        if (!share_location && label == background_label_id) {
+          // Ignore background loc predictions.
+          continue;
+        }
+        // Decode the prediction into bbox first.
+        vector<NormalizedBBox> loc_bboxes;
+        bool clip_bbox = false;
+        DecodeBBoxes(prior_bboxes, prior_variances,
+                     code_type, encode_variance_in_target, clip_bbox,
+                     all_loc_preds[i].find(label)->second, &loc_bboxes);
+        MatchBBox(gt_bboxes, loc_bboxes, label, match_type,
+                  overlap_threshold, ignore_cross_boundary_bbox,
+                  &match_indices[label], &match_overlaps[label]);
+      }
+    } else {
+      // Use prior bboxes to match against all ground truth.
+      vector<int> temp_match_indices;
+      vector<float> temp_match_overlaps;
+      const int label = -1;
+      MatchBBox(gt_bboxes, prior_bboxes, label, match_type, overlap_threshold,
+                ignore_cross_boundary_bbox, &temp_match_indices,
+                &temp_match_overlaps);
+      if (share_location) {
+        match_indices[label] = temp_match_indices;
+        match_overlaps[label] = temp_match_overlaps;
+      } else {
+        // Get ground truth label for each ground truth bbox.
+        vector<int> gt_labels;
+        for (int g = 0; g < gt_bboxes.size(); ++g) {
+          gt_labels.push_back(gt_bboxes[g].label());
+        }
+        // Distribute the matching results to different loc_class.
+        for (int c = 0; c < loc_classes; ++c) {
+          if (c == background_label_id) {
+            // Ignore background loc predictions.
+            continue;
+          }
+          match_indices[c].resize(temp_match_indices.size(), -1);
+          match_overlaps[c] = temp_match_overlaps;
+          for (int m = 0; m < temp_match_indices.size(); ++m) {
+            if (temp_match_indices[m] > -1) {
+              const int gt_idx = temp_match_indices[m];
+              CHECK_LT(gt_idx, gt_labels.size());
+              if (c == gt_labels[gt_idx]) {
+                match_indices[c][m] = gt_idx;
+              }
+            }
+          }
+        }
+      }
+    }
+    all_match_indices->push_back(match_indices);
+    all_match_overlaps->push_back(match_overlaps);
+  }
+}
+
+int CountNumMatches(const vector<map<int, vector<int> > >& all_match_indices,
+                    const int num) {
+  int num_matches = 0;
+  for (int i = 0; i < num; ++i) {
+    const map<int, vector<int> >& match_indices = all_match_indices[i];
+    for (map<int, vector<int> >::const_iterator it = match_indices.begin();
+         it != match_indices.end(); ++it) {
+      const vector<int>& match_index = it->second;
+      for (int m = 0; m < match_index.size(); ++m) {
+        if (match_index[m] > -1) {
+          ++num_matches;
+        }
+      }
+    }
+  }
+  return num_matches;
+}
+
+inline bool IsEligibleMining(const MiningType mining_type, const int match_idx,
+    const float match_overlap, const float neg_overlap) {
+  if (mining_type == MultiBoxLossParameter_MiningType_MAX_NEGATIVE) {
+    return match_idx == -1 && match_overlap < neg_overlap;
+  } else if (mining_type == MultiBoxLossParameter_MiningType_HARD_EXAMPLE) {
+    return true;
+  } else {
+    return false;
+  }
+}
+
+template <typename Dtype>
+void MineHardExamples(const TBlob<Dtype>& conf_blob,
+    const vector<LabelBBox>& all_loc_preds,
+    const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+    const vector<NormalizedBBox>& prior_bboxes,
+    const vector<vector<float> >& prior_variances,
+    const vector<map<int, vector<float> > >& all_match_overlaps,
+    const MultiBoxLossParameter& multibox_loss_param,
+    int* num_matches, int* num_negs,
+    vector<map<int, vector<int> > >* all_match_indices,
+    vector<vector<int> >* all_neg_indices) {
+  int num = all_loc_preds.size();
+  // CHECK_EQ(num, all_match_overlaps.size());
+  // CHECK_EQ(num, all_match_indices->size());
+  // all_neg_indices->clear();
+  *num_matches = CountNumMatches(*all_match_indices, num);
+  *num_negs = 0;
+  int num_priors = prior_bboxes.size();
+  CHECK_EQ(num_priors, prior_variances.size());
+  // Get parameters.
+  CHECK(multibox_loss_param.has_num_classes()) << "Must provide num_classes.";
+  const int num_classes = multibox_loss_param.num_classes();
+  CHECK_GE(num_classes, 1) << "num_classes should not be less than 1.";
+  const int background_label_id = multibox_loss_param.background_label_id();
+  const bool use_prior_for_nms = multibox_loss_param.use_prior_for_nms();
+  const ConfLossType conf_loss_type = multibox_loss_param.conf_loss_type();
+  const MiningType mining_type = multibox_loss_param.mining_type();
+  if (mining_type == MultiBoxLossParameter_MiningType_NONE) {
+    return;
+  }
+  const LocLossType loc_loss_type = multibox_loss_param.loc_loss_type();
+  const float neg_pos_ratio = multibox_loss_param.neg_pos_ratio();
+  const float neg_overlap = multibox_loss_param.neg_overlap();
+  const CodeType code_type = multibox_loss_param.code_type();
+  const bool encode_variance_in_target =
+      multibox_loss_param.encode_variance_in_target();
+  const bool has_nms_param = multibox_loss_param.has_nms_param();
+  float nms_threshold = 0;
+  int top_k = -1;
+  if (has_nms_param) {
+    nms_threshold = multibox_loss_param.nms_param().nms_threshold();
+    top_k = multibox_loss_param.nms_param().top_k();
+  }
+  const int sample_size = multibox_loss_param.sample_size();
+  // Compute confidence losses based on matching results.
+  vector<vector<float> > all_conf_loss;
+//  ComputeConfLoss(conf_blob.cpu_data(), num, num_priors, num_classes,
+//      background_label_id, conf_loss_type, *all_match_indices, all_gt_bboxes,
+//      &all_conf_loss);
+  ComputeConfLossGPU(conf_blob, num, num_priors, num_classes,
+      background_label_id, conf_loss_type, *all_match_indices, all_gt_bboxes,
+      &all_conf_loss);
+  vector<vector<float> > all_loc_loss;
+  if (mining_type == MultiBoxLossParameter_MiningType_HARD_EXAMPLE) {
+    // Compute localization losses based on matching results.
+    TBlob<Dtype> loc_pred, loc_gt;
+    if (*num_matches != 0) {
+      vector<int> loc_shape(2, 1);
+      loc_shape[1] = *num_matches * 4;
+      loc_pred.Reshape(loc_shape);
+      loc_gt.Reshape(loc_shape);
+      Dtype* loc_pred_data = loc_pred.mutable_cpu_data();
+      Dtype* loc_gt_data = loc_gt.mutable_cpu_data();
+      EncodeLocPrediction(all_loc_preds, all_gt_bboxes, *all_match_indices,
+                          prior_bboxes, prior_variances, multibox_loss_param,
+                          loc_pred_data, loc_gt_data);
+    }
+    ComputeLocLoss(loc_pred, loc_gt, *all_match_indices, num,
+                   num_priors, loc_loss_type, &all_loc_loss);
+  } else {
+    // No localization loss.
+    for (int i = 0; i < num; ++i) {
+      vector<float> loc_loss(num_priors, 0.f);
+      all_loc_loss.push_back(loc_loss);
+    }
+  }
+  for (int i = 0; i < num; ++i) {
+    map<int, vector<int> >& match_indices = (*all_match_indices)[i];
+    const map<int, vector<float> >& match_overlaps = all_match_overlaps[i];
+    // loc + conf loss.
+    const vector<float>& conf_loss = all_conf_loss[i];
+    const vector<float>& loc_loss = all_loc_loss[i];
+    vector<float> loss;
+    std::transform(conf_loss.begin(), conf_loss.end(), loc_loss.begin(),
+                   std::back_inserter(loss), std::plus<float>());
+    // Pick negatives or hard examples based on loss.
+    set<int> sel_indices;
+    vector<int> neg_indices;
+    for (map<int, vector<int> >::iterator it = match_indices.begin();
+         it != match_indices.end(); ++it) {
+      const int label = it->first;
+      int num_sel = 0;
+      // Get potential indices and loss pairs.
+      vector<pair<float, int> > loss_indices;
+      for (int m = 0; m < match_indices[label].size(); ++m) {
+        if (IsEligibleMining(mining_type, match_indices[label][m],
+            match_overlaps.find(label)->second[m], neg_overlap)) {
+          loss_indices.push_back(std::make_pair(loss[m], m));
+          ++num_sel;
+        }
+      }
+      if (mining_type == MultiBoxLossParameter_MiningType_MAX_NEGATIVE) {
+        int num_pos = 0;
+        for (int m = 0; m < match_indices[label].size(); ++m) {
+          if (match_indices[label][m] > -1) {
+            ++num_pos;
+          }
+        }
+        num_sel = std::min(static_cast<int>(num_pos * neg_pos_ratio), num_sel);
+      } else if (mining_type == MultiBoxLossParameter_MiningType_HARD_EXAMPLE) {
+        CHECK_GT(sample_size, 0);
+        num_sel = std::min(sample_size, num_sel);
+      }
+      // Select samples.
+      if (has_nms_param && nms_threshold > 0) {
+        // Do nms before selecting samples.
+        vector<float> sel_loss;
+        vector<NormalizedBBox> sel_bboxes;
+        if (use_prior_for_nms) {
+          for (int m = 0; m < match_indices[label].size(); ++m) {
+            if (IsEligibleMining(mining_type, match_indices[label][m],
+                match_overlaps.find(label)->second[m], neg_overlap)) {
+              sel_loss.push_back(loss[m]);
+              sel_bboxes.push_back(prior_bboxes[m]);
+            }
+          }
+        } else {
+          // Decode the prediction into bbox first.
+          vector<NormalizedBBox> loc_bboxes;
+          bool clip_bbox = false;
+          DecodeBBoxes(prior_bboxes, prior_variances,
+                       code_type, encode_variance_in_target, clip_bbox,
+                       all_loc_preds[i].find(label)->second, &loc_bboxes);
+          for (int m = 0; m < match_indices[label].size(); ++m) {
+            if (IsEligibleMining(mining_type, match_indices[label][m],
+                match_overlaps.find(label)->second[m], neg_overlap)) {
+              sel_loss.push_back(loss[m]);
+              sel_bboxes.push_back(loc_bboxes[m]);
+            }
+          }
+        }
+        // Do non-maximum suppression based on the loss.
+        vector<int> nms_indices;
+        ApplyNMS(sel_bboxes, sel_loss, nms_threshold, top_k, &nms_indices);
+        if (nms_indices.size() < num_sel) {
+          LOG(INFO) << "not enough sample after nms: " << nms_indices.size();
+        }
+        // Pick top example indices after nms.
+        num_sel = std::min(static_cast<int>(nms_indices.size()), num_sel);
+        for (int n = 0; n < num_sel; ++n) {
+          sel_indices.insert(loss_indices[nms_indices[n]].second);
+        }
+      } else {
+        // Pick top example indices based on loss.
+        std::sort(loss_indices.begin(), loss_indices.end(),
+                  SortScorePairDescend<int>);
+        for (int n = 0; n < num_sel; ++n) {
+          sel_indices.insert(loss_indices[n].second);
+        }
+      }
+      // Update the match_indices and select neg_indices.
+      for (int m = 0; m < match_indices[label].size(); ++m) {
+        if (match_indices[label][m] > -1) {
+          if (mining_type == MultiBoxLossParameter_MiningType_HARD_EXAMPLE &&
+              sel_indices.find(m) == sel_indices.end()) {
+            match_indices[label][m] = -1;
+            *num_matches -= 1;
+          }
+        } else if (match_indices[label][m] == -1) {
+          if (sel_indices.find(m) != sel_indices.end()) {
+            neg_indices.push_back(m);
+            *num_negs += 1;
+          }
+        }
+      }
+    }
+    all_neg_indices->push_back(neg_indices);
+  }
+}
+
+// Explicite initialization.
+template void MineHardExamples(const TBlob<float>& conf_blob,
+    const vector<LabelBBox>& all_loc_preds,
+    const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+    const vector<NormalizedBBox>& prior_bboxes,
+    const vector<vector<float> >& prior_variances,
+    const vector<map<int, vector<float> > >& all_match_overlaps,
+    const MultiBoxLossParameter& multibox_loss_param,
+    int* num_matches, int* num_negs,
+    vector<map<int, vector<int> > >* all_match_indices,
+    vector<vector<int> >* all_neg_indices);
+template void MineHardExamples(const TBlob<double>& conf_blob,
+    const vector<LabelBBox>& all_loc_preds,
+    const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+    const vector<NormalizedBBox>& prior_bboxes,
+    const vector<vector<float> >& prior_variances,
+    const vector<map<int, vector<float> > >& all_match_overlaps,
+    const MultiBoxLossParameter& multibox_loss_param,
+    int* num_matches, int* num_negs,
+    vector<map<int, vector<int> > >* all_match_indices,
+    vector<vector<int> >* all_neg_indices);
+template void MineHardExamples(const TBlob<float16>& conf_blob,
+    const vector<LabelBBox>& all_loc_preds,
+    const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+    const vector<NormalizedBBox>& prior_bboxes,
+    const vector<vector<float> >& prior_variances,
+    const vector<map<int, vector<float> > >& all_match_overlaps,
+    const MultiBoxLossParameter& multibox_loss_param,
+    int* num_matches, int* num_negs,
+    vector<map<int, vector<int> > >* all_match_indices,
+    vector<vector<int> >* all_neg_indices);
+template <typename Dtype>
+void GetGroundTruth(const Dtype* gt_data, const int num_gt,
+      const int background_label_id, const bool use_difficult_gt,
+      map<int, vector<NormalizedBBox> >* all_gt_bboxes) {
+  all_gt_bboxes->clear();
+  for (int i = 0; i < num_gt; ++i) {
+    int start_idx = i * 8;
+    int item_id = gt_data[start_idx];
+    if (item_id == -1) {
+      continue;
+    }
+    int label = gt_data[start_idx + 1];
+    CHECK_NE(background_label_id, label)
+        << "Found background label in the dataset.";
+    bool difficult = static_cast<bool>(gt_data[start_idx + 7]);
+    if (!use_difficult_gt && difficult) {
+      // Skip reading difficult ground truth.
+      continue;
+    }
+    NormalizedBBox bbox;
+    bbox.set_label(label);
+    bbox.set_xmin(gt_data[start_idx + 3]);
+    bbox.set_ymin(gt_data[start_idx + 4]);
+    bbox.set_xmax(gt_data[start_idx + 5]);
+    bbox.set_ymax(gt_data[start_idx + 6]);
+    bbox.set_difficult(difficult);
+    float bbox_size = BBoxSize(bbox);
+    bbox.set_size(bbox_size);
+    (*all_gt_bboxes)[item_id].push_back(bbox);
+  }
+}
+
+// Explicit initialization.
+template void GetGroundTruth(const float* gt_data, const int num_gt,
+      const int background_label_id, const bool use_difficult_gt,
+      map<int, vector<NormalizedBBox> >* all_gt_bboxes);
+template void GetGroundTruth(const double* gt_data, const int num_gt,
+      const int background_label_id, const bool use_difficult_gt,
+      map<int, vector<NormalizedBBox> >* all_gt_bboxes);
+template void GetGroundTruth(const float16* gt_data, const int num_gt,
+      const int background_label_id, const bool use_difficult_gt,
+      map<int, vector<NormalizedBBox> >* all_gt_bboxes);
+
+template <typename Dtype>
+void GetGroundTruth(const Dtype* gt_data, const int num_gt,
+      const int background_label_id, const bool use_difficult_gt,
+      map<int, LabelBBox>* all_gt_bboxes) {
+  all_gt_bboxes->clear();
+  for (int i = 0; i < num_gt; ++i) {
+    int start_idx = i * 8;
+    int item_id = gt_data[start_idx];
+    if (item_id == -1) {
+      break;
+    }
+    NormalizedBBox bbox;
+    int label = gt_data[start_idx + 1];
+    CHECK_NE(background_label_id, label)
+        << "Found background label in the dataset.";
+    bool difficult = static_cast<bool>(gt_data[start_idx + 7]);
+    if (!use_difficult_gt && difficult) {
+      // Skip reading difficult ground truth.
+      continue;
+    }
+    bbox.set_xmin(gt_data[start_idx + 3]);
+    bbox.set_ymin(gt_data[start_idx + 4]);
+    bbox.set_xmax(gt_data[start_idx + 5]);
+    bbox.set_ymax(gt_data[start_idx + 6]);
+    bbox.set_difficult(difficult);
+    float bbox_size = BBoxSize(bbox);
+    bbox.set_size(bbox_size);
+    (*all_gt_bboxes)[item_id][label].push_back(bbox);
+  }
+}
+
+// Explicit initialization.
+template void GetGroundTruth(const float* gt_data, const int num_gt,
+      const int background_label_id, const bool use_difficult_gt,
+      map<int, LabelBBox>* all_gt_bboxes);
+template void GetGroundTruth(const double* gt_data, const int num_gt,
+      const int background_label_id, const bool use_difficult_gt,
+      map<int, LabelBBox>* all_gt_bboxes);
+template void GetGroundTruth(const float16* gt_data, const int num_gt,
+      const int background_label_id, const bool use_difficult_gt,
+      map<int, LabelBBox>* all_gt_bboxes);
+template <typename Dtype>
+void GetLocPredictions(const Dtype* loc_data, const int num,
+      const int num_preds_per_class, const int num_loc_classes,
+      const bool share_location, vector<LabelBBox>* loc_preds) {
+  loc_preds->clear();
+  if (share_location) {
+    CHECK_EQ(num_loc_classes, 1);
+  }
+  loc_preds->resize(num);
+  for (int i = 0; i < num; ++i) {
+    LabelBBox& label_bbox = (*loc_preds)[i];
+    for (int p = 0; p < num_preds_per_class; ++p) {
+      int start_idx = p * num_loc_classes * 4;
+      for (int c = 0; c < num_loc_classes; ++c) {
+        int label = share_location ? -1 : c;
+        if (label_bbox.find(label) == label_bbox.end()) {
+          label_bbox[label].resize(num_preds_per_class);
+        }
+        label_bbox[label][p].set_xmin(loc_data[start_idx + c * 4]);
+        label_bbox[label][p].set_ymin(loc_data[start_idx + c * 4 + 1]);
+        label_bbox[label][p].set_xmax(loc_data[start_idx + c * 4 + 2]);
+        label_bbox[label][p].set_ymax(loc_data[start_idx + c * 4 + 3]);
+      }
+    }
+    loc_data += num_preds_per_class * num_loc_classes * 4;
+  }
+}
+
+// Explicit initialization.
+template void GetLocPredictions(const float* loc_data, const int num,
+      const int num_preds_per_class, const int num_loc_classes,
+      const bool share_location, vector<LabelBBox>* loc_preds);
+template void GetLocPredictions(const double* loc_data, const int num,
+      const int num_preds_per_class, const int num_loc_classes,
+      const bool share_location, vector<LabelBBox>* loc_preds);
+template void GetLocPredictions(const float16* loc_data, const int num,
+      const int num_preds_per_class, const int num_loc_classes,
+      const bool share_location, vector<LabelBBox>* loc_preds);
+template <typename Dtype>
+void EncodeLocPrediction(const vector<LabelBBox>& all_loc_preds,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const vector<NormalizedBBox>& prior_bboxes,
+      const vector<vector<float> >& prior_variances,
+      const MultiBoxLossParameter& multibox_loss_param,
+      Dtype* loc_pred_data, Dtype* loc_gt_data) {
+  int num = all_loc_preds.size();
+  // CHECK_EQ(num, all_match_indices.size());
+  // Get parameters.
+  const CodeType code_type = multibox_loss_param.code_type();
+  const bool encode_variance_in_target =
+      multibox_loss_param.encode_variance_in_target();
+  const bool bp_inside = multibox_loss_param.bp_inside();
+  const bool use_prior_for_matching =
+      multibox_loss_param.use_prior_for_matching();
+  int count = 0;
+  for (int i = 0; i < num; ++i) {
+    for (map<int, vector<int> >::const_iterator
+         it = all_match_indices[i].begin();
+         it != all_match_indices[i].end(); ++it) {
+      const int label = it->first;
+      const vector<int>& match_index = it->second;
+      CHECK(all_loc_preds[i].find(label) != all_loc_preds[i].end());
+      const vector<NormalizedBBox>& loc_pred =
+          all_loc_preds[i].find(label)->second;
+      for (int j = 0; j < match_index.size(); ++j) {
+        if (match_index[j] <= -1) {
+          continue;
+        }
+        // Store encoded ground truth.
+        const int gt_idx = match_index[j];
+        CHECK(all_gt_bboxes.find(i) != all_gt_bboxes.end());
+        CHECK_LT(gt_idx, all_gt_bboxes.find(i)->second.size());
+        const NormalizedBBox& gt_bbox = all_gt_bboxes.find(i)->second[gt_idx];
+        NormalizedBBox gt_encode;
+        CHECK_LT(j, prior_bboxes.size());
+        EncodeBBox(prior_bboxes[j], prior_variances[j], code_type,
+                   encode_variance_in_target, gt_bbox, &gt_encode);
+        loc_gt_data[count * 4] = gt_encode.xmin();
+        loc_gt_data[count * 4 + 1] = gt_encode.ymin();
+        loc_gt_data[count * 4 + 2] = gt_encode.xmax();
+        loc_gt_data[count * 4 + 3] = gt_encode.ymax();
+        // Store location prediction.
+        CHECK_LT(j, loc_pred.size());
+        if (bp_inside) {
+          NormalizedBBox match_bbox = prior_bboxes[j];
+          if (!use_prior_for_matching) {
+            const bool clip_bbox = false;
+            DecodeBBox(prior_bboxes[j], prior_variances[j], code_type,
+                       encode_variance_in_target, clip_bbox, loc_pred[j],
+                       &match_bbox);
+          }
+          // When a dimension of match_bbox is outside of image region, use
+          // gt_encode to simulate zero gradient.
+          loc_pred_data[count * 4] =
+              (match_bbox.xmin() < 0 || match_bbox.xmin() > 1) ?
+              gt_encode.xmin() : loc_pred[j].xmin();
+          loc_pred_data[count * 4 + 1] =
+              (match_bbox.ymin() < 0 || match_bbox.ymin() > 1) ?
+              gt_encode.ymin() : loc_pred[j].ymin();
+          loc_pred_data[count * 4 + 2] =
+              (match_bbox.xmax() < 0 || match_bbox.xmax() > 1) ?
+              gt_encode.xmax() : loc_pred[j].xmax();
+          loc_pred_data[count * 4 + 3] =
+              (match_bbox.ymax() < 0 || match_bbox.ymax() > 1) ?
+              gt_encode.ymax() : loc_pred[j].ymax();
+        } else {
+          loc_pred_data[count * 4] = loc_pred[j].xmin();
+          loc_pred_data[count * 4 + 1] = loc_pred[j].ymin();
+          loc_pred_data[count * 4 + 2] = loc_pred[j].xmax();
+          loc_pred_data[count * 4 + 3] = loc_pred[j].ymax();
+        }
+        if (encode_variance_in_target) {
+          for (int k = 0; k < 4; ++k) {
+            CHECK_GT(prior_variances[j][k], 0);
+            loc_pred_data[count * 4 + k] /= prior_variances[j][k];
+            loc_gt_data[count * 4 + k] /= prior_variances[j][k];
+          }
+        }
+        ++count;
+      }
+    }
+  }
+}
+
+// Explicit initialization.
+template void EncodeLocPrediction(const vector<LabelBBox>& all_loc_preds,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const vector<NormalizedBBox>& prior_bboxes,
+      const vector<vector<float> >& prior_variances,
+      const MultiBoxLossParameter& multibox_loss_param,
+      float* loc_pred_data, float* loc_gt_data);
+template void EncodeLocPrediction(const vector<LabelBBox>& all_loc_preds,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const vector<NormalizedBBox>& prior_bboxes,
+      const vector<vector<float> >& prior_variances,
+      const MultiBoxLossParameter& multibox_loss_param,
+      double* loc_pred_data, double* loc_gt_data);
+template void EncodeLocPrediction(const vector<LabelBBox>& all_loc_preds,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const vector<NormalizedBBox>& prior_bboxes,
+      const vector<vector<float> >& prior_variances,
+      const MultiBoxLossParameter& multibox_loss_param,
+      float16* loc_pred_data, float16* loc_gt_data);
+template <typename Dtype>
+void ComputeLocLoss(const TBlob<Dtype>& loc_pred, const TBlob<Dtype>& loc_gt,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const int num, const int num_priors, const LocLossType loc_loss_type,
+      vector<vector<float> >* all_loc_loss) {
+  int loc_count = loc_pred.count();
+  CHECK_EQ(loc_count, loc_gt.count());
+  TBlob<Dtype> diff;
+  const Dtype* diff_data = NULL;
+  if (loc_count != 0) {
+    diff.Reshape(loc_pred.shape());
+    caffe_sub(loc_count, loc_pred.cpu_data(), loc_gt.cpu_data(),
+              diff.mutable_cpu_data());
+    diff_data = diff.cpu_data();
+  }
+  int count = 0;
+  for (int i = 0; i < num; ++i) {
+    vector<float> loc_loss(num_priors, 0.f);
+    for (map<int, vector<int> >::const_iterator
+         it = all_match_indices[i].begin();
+         it != all_match_indices[i].end(); ++it) {
+      const vector<int>& match_index = it->second;
+      CHECK_EQ(num_priors, match_index.size());
+      for (int j = 0; j < match_index.size(); ++j) {
+        if (match_index[j] <= -1) {
+          continue;
+        }
+        Dtype loss = 0;
+        for (int k = 0; k < 4; ++k) {
+          Dtype val = diff_data[count * 4 + k];
+          if (loc_loss_type == MultiBoxLossParameter_LocLossType_SMOOTH_L1) {
+            Dtype abs_val = fabs(val);
+            if (abs_val < 1.) {
+              loss += 0.5 * val * val;
+            } else {
+              loss += abs_val - 0.5;
+            }
+          } else if (loc_loss_type == MultiBoxLossParameter_LocLossType_L2) {
+            loss += 0.5 * val * val;
+          } else {
+            LOG(FATAL) << "Unknown loc loss type.";
+          }
+        }
+        loc_loss[j] = loss;
+        ++count;
+      }
+    }
+    all_loc_loss->push_back(loc_loss);
+  }
+}
+
+// Explicit initialization.
+template void ComputeLocLoss(const TBlob<float>& loc_pred,
+      const TBlob<float>& loc_gt,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const int num, const int num_priors, const LocLossType loc_loss_type,
+      vector<vector<float> >* all_loc_loss);
+template void ComputeLocLoss(const TBlob<double>& loc_pred,
+      const TBlob<double>& loc_gt,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const int num, const int num_priors, const LocLossType loc_loss_type,
+      vector<vector<float> >* all_loc_loss);
+template void ComputeLocLoss(const TBlob<float16>& loc_pred,
+      const TBlob<float16>& loc_gt,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const int num, const int num_priors, const LocLossType loc_loss_type,
+      vector<vector<float> >* all_loc_loss);
+template <typename Dtype>
+void GetConfidenceScores(const Dtype* conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      vector<map<int, vector<float> > >* conf_preds) {
+  conf_preds->clear();
+  conf_preds->resize(num);
+  for (int i = 0; i < num; ++i) {
+    map<int, vector<float> >& label_scores = (*conf_preds)[i];
+    for (int p = 0; p < num_preds_per_class; ++p) {
+      int start_idx = p * num_classes;
+      for (int c = 0; c < num_classes; ++c) {
+        label_scores[c].push_back(conf_data[start_idx + c]);
+      }
+    }
+    conf_data += num_preds_per_class * num_classes;
+  }
+}
+
+// Explicit initialization.
+template void GetConfidenceScores(const float* conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      vector<map<int, vector<float> > >* conf_preds);
+template void GetConfidenceScores(const double* conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      vector<map<int, vector<float> > >* conf_preds);
+template void GetConfidenceScores(const float16* conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      vector<map<int, vector<float> > >* conf_preds);
+template <typename Dtype>
+void GetConfidenceScores(const Dtype* conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      const bool class_major, vector<map<int, vector<float> > >* conf_preds) {
+  conf_preds->clear();
+  conf_preds->resize(num);
+  for (int i = 0; i < num; ++i) {
+    map<int, vector<float> >& label_scores = (*conf_preds)[i];
+    if (class_major) {
+      for (int c = 0; c < num_classes; ++c) {
+        label_scores[c].assign(conf_data, conf_data + num_preds_per_class);
+        conf_data += num_preds_per_class;
+      }
+    } else {
+      for (int p = 0; p < num_preds_per_class; ++p) {
+        int start_idx = p * num_classes;
+        for (int c = 0; c < num_classes; ++c) {
+          label_scores[c].push_back(conf_data[start_idx + c]);
+        }
+      }
+      conf_data += num_preds_per_class * num_classes;
+    }
+  }
+}
+
+// Explicit initialization.
+template void GetConfidenceScores(const float* conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      const bool class_major, vector<map<int, vector<float> > >* conf_preds);
+template void GetConfidenceScores(const double* conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      const bool class_major, vector<map<int, vector<float> > >* conf_preds);
+template void GetConfidenceScores(const float16* conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      const bool class_major, vector<map<int, vector<float> > >* conf_preds);
+template <typename Dtype>
+void ComputeConfLoss(const Dtype* conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      const int background_label_id, const ConfLossType loss_type,
+      vector<vector<float> >* all_conf_loss) {
+  all_conf_loss->clear();
+  for (int i = 0; i < num; ++i) {
+    vector<float> conf_loss;
+    for (int p = 0; p < num_preds_per_class; ++p) {
+      int start_idx = p * num_classes;
+      int label = background_label_id;
+      Dtype loss = 0;
+      if (loss_type == MultiBoxLossParameter_ConfLossType_SOFTMAX) {
+        CHECK_GE(label, 0);
+        CHECK_LT(label, num_classes);
+        // Compute softmax probability.
+        // We need to subtract the max to avoid numerical issues.
+        Dtype maxval = -FLT_MAX;
+        for (int c = 0; c < num_classes; ++c) {
+          maxval = std::max<Dtype>(conf_data[start_idx + c], maxval);
+        }
+        Dtype sum = 0.;
+        for (int c = 0; c < num_classes; ++c) {
+          sum += std::exp(conf_data[start_idx + c] - maxval);
+        }
+        Dtype prob = std::exp(conf_data[start_idx + label] - maxval) / sum;
+        loss = -log(std::max(prob, Dtype(FLT_MIN)));
+      } else if (loss_type == MultiBoxLossParameter_ConfLossType_LOGISTIC) {
+        int target = 0;
+        for (int c = 0; c < num_classes; ++c) {
+          if (c == label) {
+            target = 1;
+          } else {
+            target = 0;
+          }
+          Dtype input = conf_data[start_idx + c];
+          loss -= input * (target - (input >= 0)) -
+              log(1 + exp(input - 2 * input * (input >= 0)));
+        }
+      } else {
+        LOG(FATAL) << "Unknown conf loss type.";
+      }
+      conf_loss.push_back(loss);
+    }
+    conf_data += num_preds_per_class * num_classes;
+    all_conf_loss->push_back(conf_loss);
+  }
+}
+
+// Explicit initialization.
+template void ComputeConfLoss(const float* conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      const int background_label_id, const ConfLossType loss_type,
+      vector<vector<float> >* all_conf_loss);
+template void ComputeConfLoss(const double* conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      const int background_label_id, const ConfLossType loss_type,
+      vector<vector<float> >* all_conf_loss);
+template void ComputeConfLoss(const float16* conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      const int background_label_id, const ConfLossType loss_type,
+      vector<vector<float> >* all_conf_loss);
+template <typename Dtype>
+void ComputeConfLoss(const Dtype* conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      const int background_label_id, const ConfLossType loss_type,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      vector<vector<float> >* all_conf_loss) {
+  CHECK_LT(background_label_id, num_classes);
+  // CHECK_EQ(num, all_match_indices.size());
+  all_conf_loss->clear();
+  for (int i = 0; i < num; ++i) {
+    vector<float> conf_loss;
+    const map<int, vector<int> >& match_indices = all_match_indices[i];
+    for (int p = 0; p < num_preds_per_class; ++p) {
+      int start_idx = p * num_classes;
+      // Get the label index.
+      int label = background_label_id;
+      for (map<int, vector<int> >::const_iterator it =
+           match_indices.begin(); it != match_indices.end(); ++it) {
+        const vector<int>& match_index = it->second;
+        CHECK_EQ(match_index.size(), num_preds_per_class);
+        if (match_index[p] > -1) {
+          CHECK(all_gt_bboxes.find(i) != all_gt_bboxes.end());
+          const vector<NormalizedBBox>& gt_bboxes =
+              all_gt_bboxes.find(i)->second;
+          CHECK_LT(match_index[p], gt_bboxes.size());
+          label = gt_bboxes[match_index[p]].label();
+          CHECK_GE(label, 0);
+          CHECK_NE(label, background_label_id);
+          CHECK_LT(label, num_classes);
+          // A prior can only be matched to one gt bbox.
+          break;
+        }
+      }
+      Dtype loss = 0;
+      if (loss_type == MultiBoxLossParameter_ConfLossType_SOFTMAX) {
+        CHECK_GE(label, 0);
+        CHECK_LT(label, num_classes);
+        // Compute softmax probability.
+        // We need to subtract the max to avoid numerical issues.
+        Dtype maxval = conf_data[start_idx];
+        for (int c = 1; c < num_classes; ++c) {
+          maxval = std::max<Dtype>(conf_data[start_idx + c], maxval);
+        }
+        Dtype sum = 0.;
+        for (int c = 0; c < num_classes; ++c) {
+          sum += std::exp(conf_data[start_idx + c] - maxval);
+        }
+        Dtype prob = std::exp(conf_data[start_idx + label] - maxval) / sum;
+        loss = -log(std::max(prob, Dtype(FLT_MIN)));
+      } else if (loss_type == MultiBoxLossParameter_ConfLossType_LOGISTIC) {
+        int target = 0;
+        for (int c = 0; c < num_classes; ++c) {
+          if (c == label) {
+            target = 1;
+          } else {
+            target = 0;
+          }
+          Dtype input = conf_data[start_idx + c];
+          loss -= input * (target - (input >= 0)) -
+              log(1 + exp(input - 2 * input * (input >= 0)));
+        }
+      } else {
+        LOG(FATAL) << "Unknown conf loss type.";
+      }
+      conf_loss.push_back(loss);
+    }
+    conf_data += num_preds_per_class * num_classes;
+    all_conf_loss->push_back(conf_loss);
+  }
+}
+
+// Explicit initialization.
+template void ComputeConfLoss(const float* conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      const int background_label_id, const ConfLossType loss_type,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      vector<vector<float> >* all_conf_loss);
+template void ComputeConfLoss(const double* conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      const int background_label_id, const ConfLossType loss_type,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      vector<vector<float> >* all_conf_loss);
+template void ComputeConfLoss(const float16* conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      const int background_label_id, const ConfLossType loss_type,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      vector<vector<float> >* all_conf_loss);
+template <typename Dtype>
+void EncodeConfPrediction(const Dtype* conf_data, const int num,
+      const int num_priors, const MultiBoxLossParameter& multibox_loss_param,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const vector<vector<int> >& all_neg_indices,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      Dtype* conf_pred_data, Dtype* conf_gt_data) {
+  // CHECK_EQ(num, all_match_indices.size());
+  // CHECK_EQ(num, all_neg_indices.size());
+  // Retrieve parameters.
+  CHECK(multibox_loss_param.has_num_classes()) << "Must provide num_classes.";
+  const int num_classes = multibox_loss_param.num_classes();
+  CHECK_GE(num_classes, 1) << "num_classes should not be less than 1.";
+  const int background_label_id = multibox_loss_param.background_label_id();
+  const bool map_object_to_agnostic =
+      multibox_loss_param.map_object_to_agnostic();
+  if (map_object_to_agnostic) {
+    if (background_label_id >= 0) {
+      CHECK_EQ(num_classes, 2);
+    } else {
+      CHECK_EQ(num_classes, 1);
+    }
+  }
+  const MiningType mining_type = multibox_loss_param.mining_type();
+  bool do_neg_mining;
+  if (multibox_loss_param.has_do_neg_mining()) {
+    LOG(WARNING) << "do_neg_mining is deprecated, use mining_type instead.";
+    do_neg_mining = multibox_loss_param.do_neg_mining();
+    CHECK_EQ(do_neg_mining,
+             mining_type != MultiBoxLossParameter_MiningType_NONE);
+  }
+  do_neg_mining = mining_type != MultiBoxLossParameter_MiningType_NONE;
+  const ConfLossType conf_loss_type = multibox_loss_param.conf_loss_type();
+  int count = 0;
+  for (int i = 0; i < num; ++i) {
+    if (all_gt_bboxes.find(i) != all_gt_bboxes.end()) {
+      // Save matched (positive) bboxes scores and labels.
+      const map<int, vector<int> >& match_indices = all_match_indices[i];
+      for (map<int, vector<int> >::const_iterator it =
+          match_indices.begin(); it != match_indices.end(); ++it) {
+        const vector<int>& match_index = it->second;
+        CHECK_EQ(match_index.size(), num_priors);
+        for (int j = 0; j < num_priors; ++j) {
+          if (match_index[j] <= -1) {
+            continue;
+          }
+          const int gt_label = map_object_to_agnostic ?
+            background_label_id + 1 :
+            all_gt_bboxes.find(i)->second[match_index[j]].label();
+          int idx = do_neg_mining ? count : j;
+          switch (conf_loss_type) {
+            case MultiBoxLossParameter_ConfLossType_SOFTMAX:
+              conf_gt_data[idx] = gt_label;
+              break;
+            case MultiBoxLossParameter_ConfLossType_LOGISTIC:
+              conf_gt_data[idx * num_classes + gt_label] = 1;
+              break;
+            default:
+              LOG(FATAL) << "Unknown conf loss type.";
+          }
+          if (do_neg_mining) {
+            // Copy scores for matched bboxes.
+            caffe_copy<Dtype>(num_classes, conf_data + j * num_classes,
+                conf_pred_data + count * num_classes);
+            ++count;
+          }
+        }
+      }
+      // Go to next image.
+      if (do_neg_mining) {
+        // Save negative bboxes scores and labels.
+        for (int n = 0; n < all_neg_indices[i].size(); ++n) {
+          int j = all_neg_indices[i][n];
+          CHECK_LT(j, num_priors);
+          caffe_copy<Dtype>(num_classes, conf_data + j * num_classes,
+              conf_pred_data + count * num_classes);
+          switch (conf_loss_type) {
+            case MultiBoxLossParameter_ConfLossType_SOFTMAX:
+              conf_gt_data[count] = background_label_id;
+              break;
+            case MultiBoxLossParameter_ConfLossType_LOGISTIC:
+              if (background_label_id >= 0 &&
+                  background_label_id < num_classes) {
+                conf_gt_data[count * num_classes + background_label_id] = 1;
+              }
+              break;
+            default:
+              LOG(FATAL) << "Unknown conf loss type.";
+          }
+          ++count;
+        }
+      }
+    }
+    if (do_neg_mining) {
+      conf_data += num_priors * num_classes;
+    } else {
+      conf_gt_data += num_priors;
+    }
+  }
+}
+
+// Explicite initialization.
+template void EncodeConfPrediction(const float* conf_data, const int num,
+      const int num_priors, const MultiBoxLossParameter& multibox_loss_param,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const vector<vector<int> >& all_neg_indices,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      float* conf_pred_data, float* conf_gt_data);
+template void EncodeConfPrediction(const double* conf_data, const int num,
+      const int num_priors, const MultiBoxLossParameter& multibox_loss_param,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const vector<vector<int> >& all_neg_indices,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      double* conf_pred_data, double* conf_gt_data);
+template void EncodeConfPrediction(const float16* conf_data, const int num,
+      const int num_priors, const MultiBoxLossParameter& multibox_loss_param,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const vector<vector<int> >& all_neg_indices,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      float16* conf_pred_data, float16* conf_gt_data);
+template <typename Dtype>
+void GetPriorBBoxes(const Dtype* prior_data, const int num_priors,
+      vector<NormalizedBBox>* prior_bboxes,
+      vector<vector<float> >* prior_variances) {
+  prior_bboxes->clear();
+  prior_variances->clear();
+  for (int i = 0; i < num_priors; ++i) {
+    int start_idx = i * 4;
+    NormalizedBBox bbox;
+    bbox.set_xmin(prior_data[start_idx]);
+    bbox.set_ymin(prior_data[start_idx + 1]);
+    bbox.set_xmax(prior_data[start_idx + 2]);
+    bbox.set_ymax(prior_data[start_idx + 3]);
+    float bbox_size = BBoxSize(bbox);
+    bbox.set_size(bbox_size);
+    prior_bboxes->push_back(bbox);
+  }
+
+  for (int i = 0; i < num_priors; ++i) {
+    int start_idx = (num_priors + i) * 4;
+    vector<float> var;
+    for (int j = 0; j < 4; ++j) {
+      var.push_back(prior_data[start_idx + j]);
+    }
+    prior_variances->push_back(var);
+  }
+}
+
+// Explicit initialization.
+template void GetPriorBBoxes(const float* prior_data, const int num_priors,
+      vector<NormalizedBBox>* prior_bboxes,
+      vector<vector<float> >* prior_variances);
+template void GetPriorBBoxes(const double* prior_data, const int num_priors,
+      vector<NormalizedBBox>* prior_bboxes,
+      vector<vector<float> >* prior_variances);
+template void GetPriorBBoxes(const float16* prior_data, const int num_priors,
+      vector<NormalizedBBox>* prior_bboxes,
+      vector<vector<float> >* prior_variances);
+template <typename Dtype>
+void GetDetectionResults(const Dtype* det_data, const int num_det,
+      const int background_label_id,
+      map<int, map<int, vector<NormalizedBBox> > >* all_detections) {
+  all_detections->clear();
+  for (int i = 0; i < num_det; ++i) {
+    int start_idx = i * 7;
+    int item_id = det_data[start_idx];
+    if (item_id == -1) {
+      continue;
+    }
+    int label = det_data[start_idx + 1];
+    CHECK_NE(background_label_id, label)
+        << "Found background label in the detection results.";
+    NormalizedBBox bbox;
+    bbox.set_score(det_data[start_idx + 2]);
+    bbox.set_xmin(det_data[start_idx + 3]);
+    bbox.set_ymin(det_data[start_idx + 4]);
+    bbox.set_xmax(det_data[start_idx + 5]);
+    bbox.set_ymax(det_data[start_idx + 6]);
+    float bbox_size = BBoxSize(bbox);
+    bbox.set_size(bbox_size);
+    (*all_detections)[item_id][label].push_back(bbox);
+  }
+}
+
+// Explicit initialization.
+template void GetDetectionResults(const float* det_data, const int num_det,
+      const int background_label_id,
+      map<int, map<int, vector<NormalizedBBox> > >* all_detections);
+template void GetDetectionResults(const double* det_data, const int num_det,
+      const int background_label_id,
+      map<int, map<int, vector<NormalizedBBox> > >* all_detections);
+template void GetDetectionResults(const float16* det_data, const int num_det,
+      const int background_label_id,
+      map<int, map<int, vector<NormalizedBBox> > >* all_detections);
+void GetTopKScoreIndex(const vector<float>& scores, const vector<int>& indices,
+      const int top_k, vector<pair<float, int> >* score_index_vec) {
+  CHECK_EQ(scores.size(), indices.size());
+
+  // Generate index score pairs.
+  for (int i = 0; i < scores.size(); ++i) {
+    score_index_vec->push_back(std::make_pair(scores[i], indices[i]));
+  }
+
+  // Sort the score pair according to the scores in descending order
+  std::stable_sort(score_index_vec->begin(), score_index_vec->end(),
+                   SortScorePairDescend<int>);
+
+  // Keep top_k scores if needed.
+  if (top_k > -1 && top_k < score_index_vec->size()) {
+    score_index_vec->resize(top_k);
+  }
+}
+
+void GetMaxScoreIndex(const vector<float>& scores, const float threshold,
+      const int top_k, vector<pair<float, int> >* score_index_vec) {
+  // Generate index score pairs.
+  for (int i = 0; i < scores.size(); ++i) {
+    if (scores[i] > threshold) {
+      score_index_vec->push_back(std::make_pair(scores[i], i));
+    }
+  }
+
+  // Sort the score pair according to the scores in descending order
+  std::stable_sort(score_index_vec->begin(), score_index_vec->end(),
+                   SortScorePairDescend<int>);
+
+  // Keep top_k scores if needed.
+  if (top_k > -1 && top_k < score_index_vec->size()) {
+    score_index_vec->resize(top_k);
+  }
+}
+
+template <typename Dtype>
+void GetMaxScoreIndex(const Dtype* scores, const int num, const float threshold,
+      const int top_k, vector<pair<Dtype, int> >* score_index_vec) {
+  // Generate index score pairs.
+  for (int i = 0; i < num; ++i) {
+    if (scores[i] > threshold) {
+      score_index_vec->push_back(std::make_pair(scores[i], i));
+    }
+  }
+
+  // Sort the score pair according to the scores in descending order
+  std::sort(score_index_vec->begin(), score_index_vec->end(),
+            SortScorePairDescend<int>);
+
+  // Keep top_k scores if needed.
+  if (top_k > -1 && top_k < score_index_vec->size()) {
+    score_index_vec->resize(top_k);
+  }
+}
+
+template
+void GetMaxScoreIndex(const float* scores, const int num, const float threshold,
+      const int top_k, vector<pair<float, int> >* score_index_vec);
+template
+void GetMaxScoreIndex(const double* scores, const int num,
+      const float threshold, const int top_k,
+      vector<pair<double, int> >* score_index_vec);
+template
+void GetMaxScoreIndex(const float16* scores, const int num,
+      const float threshold, const int top_k,
+      vector<pair<float16, int> >* score_index_vec);
+void ApplyNMS(const vector<NormalizedBBox>& bboxes, const vector<float>& scores,
+      const float threshold, const int top_k, const bool reuse_overlaps,
+      map<int, map<int, float> >* overlaps, vector<int>* indices) {
+  // Sanity check.
+  CHECK_EQ(bboxes.size(), scores.size())
+      << "bboxes and scores have different size.";
+
+  // Get top_k scores (with corresponding indices).
+  vector<int> idx(boost::counting_iterator<int>(0),
+                  boost::counting_iterator<int>(scores.size()));
+  vector<pair<float, int> > score_index_vec;
+  GetTopKScoreIndex(scores, idx, top_k, &score_index_vec);
+
+  // Do nms.
+  indices->clear();
+  while (score_index_vec.size() != 0) {
+    // Get the current highest score box.
+    int best_idx = score_index_vec.front().second;
+    const NormalizedBBox& best_bbox = bboxes[best_idx];
+    if (BBoxSize(best_bbox) < 1e-5) {
+      // Erase small box.
+      score_index_vec.erase(score_index_vec.begin());
+      continue;
+    }
+    indices->push_back(best_idx);
+    // Erase the best box.
+    score_index_vec.erase(score_index_vec.begin());
+
+    if (top_k > -1 && indices->size() >= top_k) {
+      // Stop if finding enough bboxes for nms.
+      break;
+    }
+
+    // Compute overlap between best_bbox and other remaining bboxes.
+    // Remove a bbox if the overlap with best_bbox is larger than nms_threshold.
+    for (vector<pair<float, int> >::iterator it = score_index_vec.begin();
+         it != score_index_vec.end(); ) {
+      int cur_idx = it->second;
+      const NormalizedBBox& cur_bbox = bboxes[cur_idx];
+      if (BBoxSize(cur_bbox) < 1e-5) {
+        // Erase small box.
+        it = score_index_vec.erase(it);
+        continue;
+      }
+      float cur_overlap = 0.;
+      if (reuse_overlaps) {
+        if (overlaps->find(best_idx) != overlaps->end() &&
+            overlaps->find(best_idx)->second.find(cur_idx) !=
+            (*overlaps)[best_idx].end()) {
+          // Use the computed overlap.
+          cur_overlap = (*overlaps)[best_idx][cur_idx];
+        } else if (overlaps->find(cur_idx) != overlaps->end() &&
+                   overlaps->find(cur_idx)->second.find(best_idx) !=
+                   (*overlaps)[cur_idx].end()) {
+          // Use the computed overlap.
+          cur_overlap = (*overlaps)[cur_idx][best_idx];
+        } else {
+          cur_overlap = JaccardOverlap(best_bbox, cur_bbox);
+          // Store the overlap for future use.
+          (*overlaps)[best_idx][cur_idx] = cur_overlap;
+        }
+      } else {
+        cur_overlap = JaccardOverlap(best_bbox, cur_bbox);
+      }
+
+      // Remove it if necessary
+      if (cur_overlap > threshold) {
+        it = score_index_vec.erase(it);
+      } else {
+        ++it;
+      }
+    }
+  }
+}
+
+void ApplyNMS(const vector<NormalizedBBox>& bboxes, const vector<float>& scores,
+      const float threshold, const int top_k, vector<int>* indices) {
+  bool reuse_overlap = false;
+  map<int, map<int, float> > overlaps;
+  ApplyNMS(bboxes, scores, threshold, top_k, reuse_overlap, &overlaps, indices);
+}
+
+void ApplyNMS(const bool* overlapped, const int num, vector<int>* indices) {
+  vector<int> index_vec(boost::counting_iterator<int>(0),
+                        boost::counting_iterator<int>(num));
+  // Do nms.
+  indices->clear();
+  while (index_vec.size() != 0) {
+    // Get the current highest score box.
+    int best_idx = index_vec.front();
+    indices->push_back(best_idx);
+    // Erase the best box.
+    index_vec.erase(index_vec.begin());
+
+    for (vector<int>::iterator it = index_vec.begin(); it != index_vec.end();) {
+      int cur_idx = *it;
+
+      // Remove it if necessary
+      if (overlapped[best_idx * num + cur_idx]) {
+        it = index_vec.erase(it);
+      } else {
+        ++it;
+      }
+    }
+  }
+}
+
+inline int clamp(const int v, const int a, const int b) {
+  return v < a ? a : v > b ? b : v;
+}
+
+void ApplyNMSFast(const vector<NormalizedBBox>& bboxes,
+      const vector<float>& scores, const float score_threshold,
+      const float nms_threshold, const float eta, const int top_k,
+      vector<int>* indices) {
+  // Sanity check.
+  CHECK_EQ(bboxes.size(), scores.size())
+      << "bboxes and scores have different size.";
+
+  // Get top_k scores (with corresponding indices).
+  vector<pair<float, int> > score_index_vec;
+  GetMaxScoreIndex(scores, score_threshold, top_k, &score_index_vec);
+
+  // Do nms.
+  float adaptive_threshold = nms_threshold;
+  indices->clear();
+  while (score_index_vec.size() != 0) {
+    const int idx = score_index_vec.front().second;
+    bool keep = true;
+    for (int k = 0; k < indices->size(); ++k) {
+      if (keep) {
+        const int kept_idx = (*indices)[k];
+        float overlap = JaccardOverlap(bboxes[idx], bboxes[kept_idx]);
+        keep = overlap <= adaptive_threshold;
+      } else {
+        break;
+      }
+    }
+    if (keep) {
+      indices->push_back(idx);
+    }
+    score_index_vec.erase(score_index_vec.begin());
+    if (keep && eta < 1 && adaptive_threshold > 0.5) {
+      adaptive_threshold *= eta;
+    }
+  }
+}
+
+template <typename Dtype>
+void ApplyNMSFast(const Dtype* bboxes, const Dtype* scores, const int num,
+      const float score_threshold, const float nms_threshold,
+      const float eta, const int top_k, vector<int>* indices) {
+  // Get top_k scores (with corresponding indices).
+  vector<pair<Dtype, int> > score_index_vec;
+  GetMaxScoreIndex(scores, num, score_threshold, top_k, &score_index_vec);
+
+  // Do nms.
+  float adaptive_threshold = nms_threshold;
+  indices->clear();
+  while (score_index_vec.size() != 0) {
+    const int idx = score_index_vec.front().second;
+    bool keep = true;
+    for (int k = 0; k < indices->size(); ++k) {
+      if (keep) {
+        const int kept_idx = (*indices)[k];
+        float overlap = JaccardOverlap(bboxes + idx * 4, bboxes + kept_idx * 4);
+        keep = overlap <= adaptive_threshold;
+      } else {
+        break;
+      }
+    }
+    if (keep) {
+      indices->push_back(idx);
+    }
+    score_index_vec.erase(score_index_vec.begin());
+    if (keep && eta < 1 && adaptive_threshold > 0.5) {
+      adaptive_threshold *= eta;
+    }
+  }
+}
+
+template
+void ApplyNMSFast(const float* bboxes, const float* scores, const int num,
+      const float score_threshold, const float nms_threshold,
+      const float eta, const int top_k, vector<int>* indices);
+template
+void ApplyNMSFast(const double* bboxes, const double* scores, const int num,
+      const float score_threshold, const float nms_threshold,
+      const float eta, const int top_k, vector<int>* indices);
+template
+void ApplyNMSFast(const float16* bboxes, const float16* scores, const int num,
+      const float score_threshold, const float nms_threshold,
+      const float eta, const int top_k, vector<int>* indices);
+void CumSum(const vector<pair<float, int> >& pairs, vector<int>* cumsum) {
+  // Sort the pairs based on first item of the pair.
+  vector<pair<float, int> > sort_pairs = pairs;
+  std::stable_sort(sort_pairs.begin(), sort_pairs.end(),
+                   SortScorePairDescend<int>);
+
+  cumsum->clear();
+  for (int i = 0; i < sort_pairs.size(); ++i) {
+    if (i == 0) {
+      cumsum->push_back(sort_pairs[i].second);
+    } else {
+      cumsum->push_back(cumsum->back() + sort_pairs[i].second);
+    }
+  }
+}
+
+void ComputeAP(const vector<pair<float, int> >& tp, const int num_pos,
+               const vector<pair<float, int> >& fp, const string ap_version,
+               vector<float>* prec, vector<float>* rec, float* ap) {
+  const float eps = 1e-6;
+  CHECK_EQ(tp.size(), fp.size()) << "tp must have same size as fp.";
+  const int num = tp.size();
+  // Make sure that tp and fp have complement value.
+  for (int i = 0; i < num; ++i) {
+    CHECK_LE(fabs(tp[i].first - fp[i].first), eps);
+    CHECK_EQ(tp[i].second, 1 - fp[i].second);
+  }
+  prec->clear();
+  rec->clear();
+  *ap = 0;
+  if (tp.size() == 0 || num_pos == 0) {
+    return;
+  }
+
+  // Compute cumsum of tp.
+  vector<int> tp_cumsum;
+  CumSum(tp, &tp_cumsum);
+  CHECK_EQ(tp_cumsum.size(), num);
+
+  // Compute cumsum of fp.
+  vector<int> fp_cumsum;
+  CumSum(fp, &fp_cumsum);
+  CHECK_EQ(fp_cumsum.size(), num);
+
+  // Compute precision.
+  for (int i = 0; i < num; ++i) {
+    prec->push_back(static_cast<float>(tp_cumsum[i]) /
+                    (tp_cumsum[i] + fp_cumsum[i]));
+  }
+
+  // Compute recall.
+  for (int i = 0; i < num; ++i) {
+    CHECK_LE(tp_cumsum[i], num_pos);
+    rec->push_back(static_cast<float>(tp_cumsum[i]) / num_pos);
+  }
+
+  if (ap_version == "11point") {
+    // VOC2007 style for computing AP.
+    vector<float> max_precs(11, 0.);
+    int start_idx = num - 1;
+    for (int j = 10; j >= 0; --j) {
+      for (int i = start_idx; i >= 0 ; --i) {
+        if ((*rec)[i] < j / 10.) {
+          start_idx = i;
+          if (j > 0) {
+            max_precs[j-1] = max_precs[j];
+          }
+          break;
+        } else {
+          if (max_precs[j] < (*prec)[i]) {
+            max_precs[j] = (*prec)[i];
+          }
+        }
+      }
+    }
+    for (int j = 10; j >= 0; --j) {
+      *ap += max_precs[j] / 11;
+    }
+  } else if (ap_version == "MaxIntegral") {
+    // VOC2012 or ILSVRC style for computing AP.
+    float cur_rec = rec->back();
+    float cur_prec = prec->back();
+    for (int i = num - 2; i >= 0; --i) {
+      cur_prec = std::max<float>((*prec)[i], cur_prec);
+      if (fabs(cur_rec - (*rec)[i]) > eps) {
+        *ap += cur_prec * fabs(cur_rec - (*rec)[i]);
+      }
+      cur_rec = (*rec)[i];
+    }
+    *ap += cur_rec * cur_prec;
+  } else if (ap_version == "Integral") {
+    // Natural integral.
+    float prev_rec = 0.;
+    for (int i = 0; i < num; ++i) {
+      if (fabs((*rec)[i] - prev_rec) > eps) {
+        *ap += (*prec)[i] * fabs((*rec)[i] - prev_rec);
+      }
+      prev_rec = (*rec)[i];
+    }
+  } else {
+    LOG(FATAL) << "Unknown ap_version: " << ap_version;
+  }
+}
+
+cv::Scalar HSV2RGB(const float h, const float s, const float v) {
+  const int h_i = static_cast<int>(h * 6);
+  const float f = h * 6 - h_i;
+  const float p = v * (1 - s);
+  const float q = v * (1 - f*s);
+  const float t = v * (1 - (1 - f) * s);
+  float r, g, b;
+  switch (h_i) {
+    case 0:
+      r = v; g = t; b = p;
+      break;
+    case 1:
+      r = q; g = v; b = p;
+      break;
+    case 2:
+      r = p; g = v; b = t;
+      break;
+    case 3:
+      r = p; g = q; b = v;
+      break;
+    case 4:
+      r = t; g = p; b = v;
+      break;
+    case 5:
+      r = v; g = p; b = q;
+      break;
+    default:
+      r = 1; g = 1; b = 1;
+      break;
+  }
+  return cv::Scalar(r * 255, g * 255, b * 255);
+}
+
+// http://martin.ankerl.com/2009/12/09/how-to-create-random-colors-programmatically
+vector<cv::Scalar> GetColors(const int n) {
+  vector<cv::Scalar> colors;
+  cv::RNG rng(12345);
+  const float golden_ratio_conjugate = 0.618033988749895;
+  const float s = 0.3;
+  const float v = 0.99;
+  for (int i = 0; i < n; ++i) {
+    const float h = std::fmod(rng.uniform(0.f, 1.f) + golden_ratio_conjugate,
+                              1.f);
+    colors.push_back(HSV2RGB(h, s, v));
+  }
+  return colors;
+}
+
+static clock_t start_clock = clock();
+static cv::VideoWriter cap_out;
+
+template <typename Dtype>
+void VisualizeBBox(const vector<cv::Mat>& images, const Blob* detections,
+                   const float threshold, const vector<cv::Scalar>& colors,
+                   const map<int, string>& label_to_display_name,
+                   const string& save_file) {
+  // Retrieve detections.
+  CHECK_EQ(detections->width(), 7);
+  const int num_det = detections->height();
+  const int num_img = images.size();
+  if (num_det == 0 || num_img == 0) {
+    return;
+  }
+  // Comute FPS.
+  float fps = num_img / (static_cast<double>(clock() - start_clock) /
+          CLOCKS_PER_SEC);
+
+  const Dtype* detections_data = detections->cpu_data<Dtype>();
+  const int width = images[0].cols;
+  const int height = images[0].rows;
+  vector<LabelBBox> all_detections(num_img);
+  for (int i = 0; i < num_det; ++i) {
+    const int img_idx = detections_data[i * 7];
+    CHECK_LT(img_idx, num_img);
+    const int label = detections_data[i * 7 + 1];
+    const float score = detections_data[i * 7 + 2];
+    if (score < threshold) {
+      continue;
+    }
+    NormalizedBBox bbox;
+    bbox.set_xmin(detections_data[i * 7 + 3] * width);
+    bbox.set_ymin(detections_data[i * 7 + 4] * height);
+    bbox.set_xmax(detections_data[i * 7 + 5] * width);
+    bbox.set_ymax(detections_data[i * 7 + 6] * height);
+    bbox.set_score(score);
+    all_detections[img_idx][label].push_back(bbox);
+  }
+
+  int fontface = cv::FONT_HERSHEY_SIMPLEX;
+  double scale = 1;
+  int thickness = 2;
+  int baseline = 0;
+  char buffer[50];
+  for (int i = 0; i < num_img; ++i) {
+    cv::Mat image = images[i];
+    // Show FPS.
+    snprintf(buffer, sizeof(buffer), "FPS: %.2f", fps);
+    cv::Size text = cv::getTextSize(buffer, fontface, scale, thickness,
+                                    &baseline);
+    cv::rectangle(image, cv::Point(0, 0),
+                  cv::Point(text.width, text.height + baseline),
+                  CV_RGB(255, 255, 255), CV_FILLED);
+    cv::putText(image, buffer, cv::Point(0, text.height + baseline / 2.),
+                fontface, scale, CV_RGB(0, 0, 0), thickness, 8);
+    // Draw bboxes.
+    for (map<int, vector<NormalizedBBox> >::iterator it =
+         all_detections[i].begin(); it != all_detections[i].end(); ++it) {
+      int label = it->first;
+      string label_name = "Unknown";
+      if (label_to_display_name.find(label) != label_to_display_name.end()) {
+        label_name = label_to_display_name.find(label)->second;
+      }
+      CHECK_LT(label, colors.size());
+      const cv::Scalar& color = colors[label];
+      const vector<NormalizedBBox>& bboxes = it->second;
+      for (int j = 0; j < bboxes.size(); ++j) {
+        cv::Point top_left_pt(bboxes[j].xmin(), bboxes[j].ymin());
+        cv::Point bottom_right_pt(bboxes[j].xmax(), bboxes[j].ymax());
+        cv::rectangle(image, top_left_pt, bottom_right_pt, color, 4);
+        cv::Point bottom_left_pt(bboxes[j].xmin(), bboxes[j].ymax());
+        snprintf(buffer, sizeof(buffer), "%s: %.2f", label_name.c_str(),
+                 bboxes[j].score());
+        cv::Size text = cv::getTextSize(buffer, fontface, scale, thickness,
+                                        &baseline);
+        cv::rectangle(
+            image, bottom_left_pt + cv::Point(0, 0),
+            bottom_left_pt + cv::Point(text.width, -text.height-baseline),
+            color, CV_FILLED);
+        cv::putText(image, buffer, bottom_left_pt - cv::Point(0, baseline),
+                    fontface, scale, CV_RGB(0, 0, 0), thickness, 8);
+      }
+    }
+    // Save result if required.
+    if (!save_file.empty()) {
+      if (!cap_out.isOpened()) {
+        cv::Size size(image.size().width, image.size().height);
+        cv::VideoWriter outputVideo(save_file, CV_FOURCC('D', 'I', 'V', 'X'),
+            30, size, true);
+        cap_out = outputVideo;
+      }
+      cap_out.write(image);
+    }
+    cv::imshow("detections", image);
+    if (cv::waitKey(1) == 27) {
+      raise(SIGINT);
+    }
+  }
+  start_clock = clock();
+}
+
+template
+void VisualizeBBox<float>(const vector<cv::Mat>& images,
+                   const Blob* detections,
+                   const float threshold, const vector<cv::Scalar>& colors,
+                   const map<int, string>& label_to_display_name,
+                   const string& save_file);
+template
+void VisualizeBBox<double>(const vector<cv::Mat>& images,
+                   const Blob* detections,
+                   const float threshold, const vector<cv::Scalar>& colors,
+                   const map<int, string>& label_to_display_name,
+                   const string& save_file);
+template
+void VisualizeBBox<float16>(const vector<cv::Mat>& images,
+                   const Blob* detections,
+                   const float threshold, const vector<cv::Scalar>& colors,
+                   const map<int, string>& label_to_display_name,
+                   const string& save_file);
+
+}  // namespace caffe
diff --git a/src/caffe/util/bbox_util.cu b/src/caffe/util/bbox_util.cu
new file mode 100644
index 00000000000..460a222e528
--- /dev/null
+++ b/src/caffe/util/bbox_util.cu
@@ -0,0 +1,669 @@
+#include <algorithm>
+#include <functional>
+#include <map>
+#include <vector>
+
+#include "thrust/functional.h"
+#include "thrust/sort.h"
+
+#include "caffe/common.hpp"
+#include "caffe/util/bbox_util.hpp"
+
+namespace caffe {
+
+template <typename Dtype>
+__host__ __device__ Dtype BBoxSizeGPU(const Dtype* bbox,
+    const bool normalized) {
+  if (bbox[2] < bbox[0] || bbox[3] < bbox[1]) {
+    // If bbox is invalid (e.g. xmax < xmin or ymax < ymin), return 0.
+    return Dtype(0.);
+  } else {
+    const Dtype width = bbox[2] - bbox[0];
+    const Dtype height = bbox[3] - bbox[1];
+    if (normalized) {
+      return width * height;
+    } else {
+      // If bbox is not within range [0, 1].
+      return (width + 1) * (height + 1);
+    }
+  }
+}
+
+template __host__ __device__ float BBoxSizeGPU(const float* bbox,
+    const bool normalized);
+template __host__ __device__ double BBoxSizeGPU(const double* bbox,
+    const bool normalized);
+
+template <typename Dtype>
+__host__ __device__ Dtype JaccardOverlapGPU(const Dtype* bbox1,
+    const Dtype* bbox2) {
+  if (bbox2[0] > bbox1[2] || bbox2[2] < bbox1[0] ||
+      bbox2[1] > bbox1[3] || bbox2[3] < bbox1[1]) {
+    return Dtype(0.);
+  } else {
+    const Dtype inter_xmin = max(bbox1[0], bbox2[0]);
+    const Dtype inter_ymin = max(bbox1[1], bbox2[1]);
+    const Dtype inter_xmax = min(bbox1[2], bbox2[2]);
+    const Dtype inter_ymax = min(bbox1[3], bbox2[3]);
+
+    const Dtype inter_width = inter_xmax - inter_xmin;
+    const Dtype inter_height = inter_ymax - inter_ymin;
+    const Dtype inter_size = inter_width * inter_height;
+
+    const Dtype bbox1_size = BBoxSizeGPU(bbox1);
+    const Dtype bbox2_size = BBoxSizeGPU(bbox2);
+
+    return inter_size / (bbox1_size + bbox2_size - inter_size);
+  }
+}
+
+template __host__ __device__ float JaccardOverlapGPU(const float* bbox1,
+    const float* bbox2);
+template __host__ __device__ double JaccardOverlapGPU(const double* bbox1,
+    const double* bbox2);
+
+template <typename Dtype>
+__device__ Dtype Min(const Dtype x, const Dtype y) {
+  return x < y ? x : y;
+}
+
+template <typename Dtype>
+__device__ Dtype Max(const Dtype x, const Dtype y) {
+  return x > y ? x : y;
+}
+
+template <typename Dtype>
+__device__ void ClipBBoxGPU(const Dtype* bbox, Dtype* clip_bbox) {
+  for (int i = 0; i < 4; ++i) {
+    clip_bbox[i] = Max(Min(bbox[i], Dtype(1.)), Dtype(0.));
+  }
+}
+
+template __device__ void ClipBBoxGPU(const float* bbox, float* clip_bbox);
+template __device__ void ClipBBoxGPU(const double* bbox, double* clip_bbox);
+
+template <typename Dtype>
+__global__ void DecodeBBoxesKernel(const int nthreads,
+          const Dtype* loc_data, const Dtype* prior_data,
+          const CodeType code_type, const bool variance_encoded_in_target,
+          const int num_priors, const bool share_location,
+          const int num_loc_classes, const int background_label_id,
+          const bool clip_bbox, Dtype* bbox_data) {
+  CUDA_KERNEL_LOOP(index, nthreads) {
+    const int i = index % 4;
+    const int c = (index / 4) % num_loc_classes;
+    const int d = (index / 4 / num_loc_classes) % num_priors;
+    if (!share_location && c == background_label_id) {
+      // Ignore background class if not share_location.
+      return;
+    }
+    const int pi = d * 4;
+    const int vi = pi + num_priors * 4;
+    if (code_type == PriorBoxParameter_CodeType_CORNER) {
+      if (variance_encoded_in_target) {
+        // variance is encoded in target, we simply need to add the offset
+        // predictions.
+        bbox_data[index] = prior_data[pi + i] + loc_data[index];
+      } else {
+        // variance is encoded in bbox, we need to scale the offset accordingly.
+        bbox_data[index] =
+          prior_data[pi + i] + loc_data[index] * prior_data[vi + i];
+      }
+    } else if (code_type == PriorBoxParameter_CodeType_CENTER_SIZE) {
+      const Dtype p_xmin = prior_data[pi];
+      const Dtype p_ymin = prior_data[pi + 1];
+      const Dtype p_xmax = prior_data[pi + 2];
+      const Dtype p_ymax = prior_data[pi + 3];
+      const Dtype prior_width = p_xmax - p_xmin;
+      const Dtype prior_height = p_ymax - p_ymin;
+      const Dtype prior_center_x = (p_xmin + p_xmax) / 2.;
+      const Dtype prior_center_y = (p_ymin + p_ymax) / 2.;
+
+      const Dtype xmin = loc_data[index - i];
+      const Dtype ymin = loc_data[index - i + 1];
+      const Dtype xmax = loc_data[index - i + 2];
+      const Dtype ymax = loc_data[index - i + 3];
+
+      Dtype decode_bbox_center_x, decode_bbox_center_y;
+      Dtype decode_bbox_width, decode_bbox_height;
+      if (variance_encoded_in_target) {
+        // variance is encoded in target, we simply need to retore the offset
+        // predictions.
+        decode_bbox_center_x = xmin * prior_width + prior_center_x;
+        decode_bbox_center_y = ymin * prior_height + prior_center_y;
+        decode_bbox_width = exp(xmax) * prior_width;
+        decode_bbox_height = exp(ymax) * prior_height;
+      } else {
+        // variance is encoded in bbox, we need to scale the offset accordingly.
+        decode_bbox_center_x =
+          prior_data[vi] * xmin * prior_width + prior_center_x;
+        decode_bbox_center_y =
+          prior_data[vi + 1] * ymin * prior_height + prior_center_y;
+        decode_bbox_width =
+          exp(prior_data[vi + 2] * xmax) * prior_width;
+        decode_bbox_height =
+          exp(prior_data[vi + 3] * ymax) * prior_height;
+      }
+
+      switch (i) {
+        case 0:
+          bbox_data[index] = decode_bbox_center_x - decode_bbox_width / 2.;
+          break;
+        case 1:
+          bbox_data[index] = decode_bbox_center_y - decode_bbox_height / 2.;
+          break;
+        case 2:
+          bbox_data[index] = decode_bbox_center_x + decode_bbox_width / 2.;
+          break;
+        case 3:
+          bbox_data[index] = decode_bbox_center_y + decode_bbox_height / 2.;
+          break;
+      }
+    } else if (code_type == PriorBoxParameter_CodeType_CORNER_SIZE) {
+      const Dtype p_xmin = prior_data[pi];
+      const Dtype p_ymin = prior_data[pi + 1];
+      const Dtype p_xmax = prior_data[pi + 2];
+      const Dtype p_ymax = prior_data[pi + 3];
+      const Dtype prior_width = p_xmax - p_xmin;
+      const Dtype prior_height = p_ymax - p_ymin;
+      Dtype p_size;
+      if (i == 0 || i == 2) {
+        p_size = prior_width;
+      } else {
+        p_size = prior_height;
+      }
+      if (variance_encoded_in_target) {
+        // variance is encoded in target, we simply need to add the offset
+        // predictions.
+        bbox_data[index] = prior_data[pi + i] + loc_data[index] * p_size;
+      } else {
+        // variance is encoded in bbox, we need to scale the offset accordingly.
+        bbox_data[index] =
+          prior_data[pi + i] + loc_data[index] * prior_data[vi + i] * p_size;
+      }
+    } else {
+      // Unknown code type.
+    }
+    if (clip_bbox) {
+      bbox_data[index] = max(min(bbox_data[index], Dtype(1.)), Dtype(0.));
+    }
+  }
+}
+
+template <typename Dtype>
+void DecodeBBoxesGPU(const int nthreads,
+          const Dtype* loc_data, const Dtype* prior_data,
+          const CodeType code_type, const bool variance_encoded_in_target,
+          const int num_priors, const bool share_location,
+          const int num_loc_classes, const int background_label_id,
+          const bool clip_bbox, Dtype* bbox_data) {
+  // NOLINT_NEXT_LINE(whitespace/operators)
+  DecodeBBoxesKernel<Dtype><<<CAFFE_GET_BLOCKS(nthreads),
+      CAFFE_CUDA_NUM_THREADS>>>(nthreads, loc_data, prior_data, code_type,
+      variance_encoded_in_target, num_priors, share_location, num_loc_classes,
+      background_label_id, clip_bbox, bbox_data);
+  CUDA_POST_KERNEL_CHECK;
+}
+
+template void DecodeBBoxesGPU(const int nthreads,
+          const float* loc_data, const float* prior_data,
+          const CodeType code_type, const bool variance_encoded_in_target,
+          const int num_priors, const bool share_location,
+          const int num_loc_classes, const int background_label_id,
+          const bool clip_bbox, float* bbox_data);
+template void DecodeBBoxesGPU(const int nthreads,
+          const double* loc_data, const double* prior_data,
+          const CodeType code_type, const bool variance_encoded_in_target,
+          const int num_priors, const bool share_location,
+          const int num_loc_classes, const int background_label_id,
+          const bool clip_bbox, double* bbox_data);
+template void DecodeBBoxesGPU(const int nthreads,
+          const float16* loc_data, const float16* prior_data,
+          const CodeType code_type, const bool variance_encoded_in_target,
+          const int num_priors, const bool share_location,
+          const int num_loc_classes, const int background_label_id,
+          const bool clip_bbox, float16* bbox_data);
+
+template <typename Dtype>
+__global__ void PermuteDataKernel(const int nthreads,
+          const Dtype* data, const int num_classes, const int num_data,
+          const int num_dim, Dtype* new_data) {
+  CUDA_KERNEL_LOOP(index, nthreads) {
+    const int i = index % num_dim;
+    const int c = (index / num_dim) % num_classes;
+    const int d = (index / num_dim / num_classes) % num_data;
+    const int n = index / num_dim / num_classes / num_data;
+    const int new_index = ((n * num_classes + c) * num_data + d) * num_dim + i;
+    new_data[new_index] = data[index];
+  }
+}
+
+template <typename Dtype>
+void PermuteDataGPU(const int nthreads,
+          const Dtype* data, const int num_classes, const int num_data,
+          const int num_dim, Dtype* new_data) {
+  // NOLINT_NEXT_LINE(whitespace/operators)
+  PermuteDataKernel<Dtype><<<CAFFE_GET_BLOCKS(nthreads),
+      CAFFE_CUDA_NUM_THREADS>>>(nthreads, data, num_classes, num_data,
+      num_dim, new_data);
+  CUDA_POST_KERNEL_CHECK;
+}
+
+template void PermuteDataGPU(const int nthreads,
+          const float* data, const int num_classes, const int num_data,
+          const int num_dim, float* new_data);
+template void PermuteDataGPU(const int nthreads,
+          const double* data, const int num_classes, const int num_data,
+          const int num_dim, double* new_data);
+template void PermuteDataGPU(const int nthreads,
+          const float16* data, const int num_classes, const int num_data,
+          const int num_dim, float16* new_data);
+
+template <typename Dtype>
+__global__ void kernel_channel_max(const int num, const int channels,
+    const int spatial_dim, const Dtype* data, Dtype* out) {
+  CUDA_KERNEL_LOOP(index, num * spatial_dim) {
+    int n = index / spatial_dim;
+    int s = index % spatial_dim;
+    Dtype maxval = -FLT_MAX;
+    for (int c = 0; c < channels; ++c) {
+      maxval = max(data[(n * channels + c) * spatial_dim + s], maxval);
+    }
+    out[index] = maxval;
+  }
+}
+
+template <typename Dtype>
+__global__ void kernel_channel_subtract(const int count,
+    const int num, const int channels,
+    const int spatial_dim, const Dtype* channel_data, const Dtype* channel_max,
+    Dtype* data) {
+  CUDA_KERNEL_LOOP(index, count) {
+    int n = index / channels / spatial_dim;
+    int s = index % spatial_dim;
+    data[index] = channel_data[index] - channel_max[n * spatial_dim + s];
+  }
+}
+
+template <typename Dtype>
+__global__ void kernel_exp(const int count, const Dtype* data, Dtype* out) {
+  CUDA_KERNEL_LOOP(index, count) {
+    out[index] = exp(data[index]);
+  }
+}
+
+template <typename Dtype>
+__global__ void kernel_channel_sum(const int num, const int channels,
+    const int spatial_dim, const Dtype* data, Dtype* channel_sum) {
+  CUDA_KERNEL_LOOP(index, num * spatial_dim) {
+    int n = index / spatial_dim;
+    int s = index % spatial_dim;
+    Dtype sum = 0;
+    for (int c = 0; c < channels; ++c) {
+      sum += data[(n * channels + c) * spatial_dim + s];
+    }
+    channel_sum[index] = sum;
+  }
+}
+
+template <typename Dtype>
+__global__ void kernel_channel_div(const int count,
+    const int num, const int channels,
+    const int spatial_dim, const Dtype* channel_sum, Dtype* data) {
+  CUDA_KERNEL_LOOP(index, count) {
+    int n = index / channels / spatial_dim;
+    int s = index % spatial_dim;
+    data[index] /= channel_sum[n * spatial_dim + s];
+  }
+}
+
+template <typename Dtype>
+void SoftMaxGPU(const Dtype* data, const int outer_num,
+    const int channels, const int inner_num, Dtype* prob) {
+  vector<int> shape(4, 1);
+  shape[0] = outer_num;
+  shape[1] = channels;
+  shape[2] = inner_num;
+  TBlob<Dtype> scale(shape);
+  Dtype* scale_data = scale.mutable_gpu_data();
+  int count = outer_num * channels * inner_num;
+  // We need to subtract the max to avoid numerical issues, compute the exp,
+  // and then normalize.
+  // compute max
+  // NOLINT_NEXT_LINE(whitespace/operators)
+  kernel_channel_max<Dtype><<<CAFFE_GET_BLOCKS(outer_num * inner_num),
+      CAFFE_CUDA_NUM_THREADS>>>(outer_num, channels, inner_num, data,
+      scale_data);
+  // subtract
+  // NOLINT_NEXT_LINE(whitespace/operators)
+  kernel_channel_subtract<Dtype><<<CAFFE_GET_BLOCKS(count),
+      CAFFE_CUDA_NUM_THREADS>>>(count, outer_num, channels, inner_num,
+      data, scale_data, prob);
+  // exponentiate
+  // NOLINT_NEXT_LINE(whitespace/operators)
+  kernel_exp<Dtype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS>>>(
+      count, prob, prob);
+  // sum after exp
+  // NOLINT_NEXT_LINE(whitespace/operators)
+  kernel_channel_sum<Dtype><<<CAFFE_GET_BLOCKS(outer_num * inner_num),
+      CAFFE_CUDA_NUM_THREADS>>>(outer_num, channels, inner_num, prob,
+      scale_data);
+  // divide
+  // NOLINT_NEXT_LINE(whitespace/operators)
+  kernel_channel_div<Dtype><<<CAFFE_GET_BLOCKS(count),
+      CAFFE_CUDA_NUM_THREADS>>>(count, outer_num, channels, inner_num,
+      scale_data, prob);
+}
+
+template void SoftMaxGPU(const float* data, const int outer_num,
+    const int channels, const int inner_num, float* prob);
+template void SoftMaxGPU(const double* data, const int outer_num,
+    const int channels, const int inner_num, double* prob);
+
+template <typename Dtype>
+__global__ void ComputeOverlappedKernel(const int nthreads,
+          const Dtype* bbox_data, const int num_bboxes, const int num_classes,
+          const Dtype overlap_threshold, bool* overlapped_data) {
+  CUDA_KERNEL_LOOP(index, nthreads) {
+    const int j = index % num_bboxes;
+    const int i = (index / num_bboxes) % num_bboxes;
+    if (i == j) {
+      // Ignore same bbox.
+      return;
+    }
+    const int c = (index / num_bboxes / num_bboxes) % num_classes;
+    const int n = index / num_bboxes / num_bboxes / num_classes;
+    // Compute overlap between i-th bbox and j-th bbox.
+    const int start_loc_i = ((n * num_bboxes + i) * num_classes + c) * 4;
+    const int start_loc_j = ((n * num_bboxes + j) * num_classes + c) * 4;
+    const Dtype overlap = JaccardOverlapGPU<Dtype>(bbox_data + start_loc_i,
+        bbox_data + start_loc_j);
+    if (overlap > overlap_threshold) {
+      overlapped_data[index] = true;
+    }
+  }
+}
+
+template <typename Dtype>
+void ComputeOverlappedGPU(const int nthreads,
+          const Dtype* bbox_data, const int num_bboxes, const int num_classes,
+          const Dtype overlap_threshold, bool* overlapped_data) {
+  // NOLINT_NEXT_LINE(whitespace/operators)
+  ComputeOverlappedKernel<Dtype><<<CAFFE_GET_BLOCKS(nthreads),
+      CAFFE_CUDA_NUM_THREADS>>>(nthreads, bbox_data, num_bboxes, num_classes,
+      overlap_threshold, overlapped_data);
+  CUDA_POST_KERNEL_CHECK;
+}
+
+template void ComputeOverlappedGPU(const int nthreads,
+          const float* bbox_data, const int num_bboxes, const int num_classes,
+          const float overlap_threshold, bool* overlapped_data);
+template void ComputeOverlappedGPU(const int nthreads,
+          const double* bbox_data, const int num_bboxes, const int num_classes,
+          const double overlap_threshold, bool* overlapped_data);
+
+template <typename Dtype>
+__global__ void ComputeOverlappedByIdxKernel(const int nthreads,
+          const Dtype* bbox_data, const Dtype overlap_threshold,
+          const int* idx, const int num_idx, bool* overlapped_data) {
+  CUDA_KERNEL_LOOP(index, nthreads) {
+    const int j = index % num_idx;
+    const int i = (index / num_idx);
+    if (i == j) {
+      // Ignore same bbox.
+      return;
+    }
+    // Compute overlap between i-th bbox and j-th bbox.
+    const int start_loc_i = idx[i] * 4;
+    const int start_loc_j = idx[j] * 4;
+    const Dtype overlap = JaccardOverlapGPU<Dtype>(bbox_data + start_loc_i,
+        bbox_data + start_loc_j);
+    if (overlap > overlap_threshold) {
+      overlapped_data[index] = true;
+    }
+  }
+}
+
+template <typename Dtype>
+void ComputeOverlappedByIdxGPU(const int nthreads,
+          const Dtype* bbox_data, const Dtype overlap_threshold,
+          const int* idx, const int num_idx, bool* overlapped_data) {
+  // NOLINT_NEXT_LINE(whitespace/operators)
+  ComputeOverlappedByIdxKernel<Dtype><<<CAFFE_GET_BLOCKS(nthreads),
+      CAFFE_CUDA_NUM_THREADS>>>(nthreads, bbox_data, overlap_threshold,
+      idx, num_idx, overlapped_data);
+  CUDA_POST_KERNEL_CHECK;
+}
+
+template void ComputeOverlappedByIdxGPU(const int nthreads,
+          const float* bbox_data, const float overlap_threshold,
+          const int* idx, const int num_idx, bool* overlapped_data);
+template void ComputeOverlappedByIdxGPU(const int nthreads,
+          const double* bbox_data, const double overlap_threshold,
+          const int* idx, const int num_idx, bool* overlapped_data);
+
+template <typename Dtype>
+void ApplyNMSGPU(const Dtype* bbox_data, const Dtype* conf_data,
+          const int num_bboxes, const float confidence_threshold,
+          const int top_k, const float nms_threshold, vector<int>* indices) {
+  // Keep part of detections whose scores are higher than confidence threshold.
+  vector<int> idx;
+  vector<float> confidences;
+  for (int i = 0; i < num_bboxes; ++i) {
+    if (conf_data[i] > confidence_threshold) {
+      idx.push_back(i);
+      confidences.push_back(conf_data[i]);
+    }
+  }
+  int num_remain = confidences.size();
+  if (num_remain == 0) {
+    return;
+  }
+  // Sort detections based on score.
+  thrust::sort_by_key(&confidences[0], &confidences[0] + num_remain, &idx[0],
+      thrust::greater<float>());
+  if (top_k > -1 && top_k < num_remain) {
+    num_remain = top_k;
+  }
+
+  // Compute overlap between remaining detections.
+  TBlob<int> idx_blob(1, 1, 1, num_remain);
+  int* idx_data = idx_blob.mutable_cpu_data();
+  std::copy(idx.begin(), idx.begin() + num_remain, idx_data);
+
+  TBlob<bool> overlapped(1, 1, num_remain, num_remain);
+  const int total_bboxes = overlapped.count();
+  bool* overlapped_data = overlapped.mutable_gpu_data();
+  ComputeOverlappedByIdxGPU<Dtype>(total_bboxes, bbox_data, nms_threshold,
+      idx_blob.gpu_data(), num_remain, overlapped_data);
+
+  // Do non-maximum suppression based on overlapped results.
+  const bool* overlapped_results = overlapped.cpu_data();
+  vector<int> selected_indices;
+  ApplyNMS(overlapped_results, num_remain, &selected_indices);
+
+  // Put back the selected information.
+  for (int i = 0; i < selected_indices.size(); ++i) {
+    indices->push_back(idx[selected_indices[i]]);
+  }
+}
+
+template
+void ApplyNMSGPU(const float* bbox_data, const float* conf_data,
+          const int num_bboxes, const float confidence_threshold,
+          const int top_k, const float nms_threshold, vector<int>* indices);
+template
+void ApplyNMSGPU(const double* bbox_data, const double* conf_data,
+          const int num_bboxes, const float confidence_threshold,
+          const int top_k, const float nms_threshold, vector<int>* indices);
+
+template
+void ApplyNMSGPU(const float16* bbox_data, const float16* conf_data,
+          const int num_bboxes, const float confidence_threshold,
+          const int top_k, const float nms_threshold, vector<int>* indices);
+
+template <typename Dtype>
+__global__ void GetDetectionsKernel(const int nthreads,
+          const Dtype* bbox_data, const Dtype* conf_data, const int image_id,
+          const int label, const int* indices, const bool clip_bbox,
+          Dtype* detection_data) {
+  CUDA_KERNEL_LOOP(index, nthreads) {
+    const int det_idx = indices[index];
+    detection_data[index * 7] = image_id;
+    detection_data[index * 7 + 1] = label;
+    detection_data[index * 7 + 2] = conf_data[det_idx];
+    if (clip_bbox) {
+      ClipBBoxGPU(&(bbox_data[det_idx * 4]), &(detection_data[index * 7 + 3]));
+    } else {
+      for (int i = 0; i < 4; ++i) {
+        detection_data[index * 7 + 3 + i] = bbox_data[det_idx * 4 + i];
+      }
+    }
+  }
+}
+
+template <typename Dtype>
+void GetDetectionsGPU(const Dtype* bbox_data, const Dtype* conf_data,
+          const int image_id, const int label, const vector<int>& indices,
+          const bool clip_bbox, TBlob<Dtype>* detection_blob) {
+  // Store selected indices in array.
+  int num_det = indices.size();
+  if (num_det == 0) {
+    return;
+  }
+  TBlob<int> idx_blob(1, 1, 1, num_det);
+  int* idx_data = idx_blob.mutable_cpu_data();
+  std::copy(indices.begin(), indices.end(), idx_data);
+  // Prepare detection_blob.
+  detection_blob->Reshape(1, 1, num_det, 7);
+  Dtype* detection_data = detection_blob->mutable_gpu_data();
+  // NOLINT_NEXT_LINE(whitespace/operators)
+  GetDetectionsKernel<Dtype><<<CAFFE_GET_BLOCKS(num_det),
+      CAFFE_CUDA_NUM_THREADS>>>(num_det, bbox_data, conf_data, image_id, label,
+      idx_blob.gpu_data(), clip_bbox, detection_data);
+  CUDA_POST_KERNEL_CHECK;
+}
+
+template void GetDetectionsGPU(const float* bbox_data, const float* conf_data,
+          const int image_id, const int label, const vector<int>& indices,
+          const bool clip_bbox, TBlob<float>* detection_blob);
+template void GetDetectionsGPU(const double* bbox_data, const double* conf_data,
+          const int image_id, const int label, const vector<int>& indices,
+          const bool clip_bbox, TBlob<double>* detection_blob);
+
+template <typename Dtype>
+__global__ void ComputeConfLossKernel(const int nthreads,
+    const Dtype* conf_data, const int num_preds_per_class,
+    const int num_classes, const ConfLossType loss_type,
+    const Dtype* match_data, Dtype* conf_loss_data) {
+  CUDA_KERNEL_LOOP(index, nthreads) {
+    int label = match_data[index];
+    int num = index / num_preds_per_class;
+    int p = index % num_preds_per_class;
+    int start_idx = (num * num_preds_per_class + p) * num_classes;
+    Dtype loss = 0;
+    if (loss_type == MultiBoxLossParameter_ConfLossType_SOFTMAX) {
+      // Compute softmax probability.
+      Dtype prob = conf_data[start_idx + label];
+      loss = -log(Max(prob, Dtype(FLT_MIN)));
+    } else if (loss_type == MultiBoxLossParameter_ConfLossType_LOGISTIC) {
+      int target = 0;
+      for (int c = 0; c < num_classes; ++c) {
+        if (c == label) {
+          target = 1;
+        } else {
+          target = 0;
+        }
+        Dtype input = conf_data[start_idx + c];
+        loss -= input * (target - (input >= 0)) -
+          log(1 + exp(input - 2 * input * (input >= 0)));
+      }
+    }
+    conf_loss_data[index] = loss;
+  }
+}
+
+template <typename Dtype>
+void ComputeConfLossGPU(const TBlob<Dtype>& conf_blob, const int num,
+      const int num_preds_per_class, const int num_classes,
+      const int background_label_id, const ConfLossType loss_type,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      vector<vector<float> >* all_conf_loss) {
+  CHECK_LT(background_label_id, num_classes);
+  TBlob<Dtype> match_blob(num, num_preds_per_class, 1, 1);
+  Dtype* match_data = match_blob.mutable_cpu_data();
+  for (int i = 0; i < num; ++i) {
+    const map<int, vector<int> >& match_indices = all_match_indices[i];
+    for (int p = 0; p < num_preds_per_class; ++p) {
+      // Get the label index.
+      int label = background_label_id;
+      for (map<int, vector<int> >::const_iterator it =
+           match_indices.begin(); it != match_indices.end(); ++it) {
+        const vector<int>& match_index = it->second;
+        CHECK_EQ(match_index.size(), num_preds_per_class);
+        if (match_index[p] > -1) {
+          CHECK(all_gt_bboxes.find(i) != all_gt_bboxes.end());
+          const vector<NormalizedBBox>& gt_bboxes =
+              all_gt_bboxes.find(i)->second;
+          CHECK_LT(match_index[p], gt_bboxes.size());
+          label = gt_bboxes[match_index[p]].label();
+          CHECK_GE(label, 0);
+          CHECK_NE(label, background_label_id);
+          CHECK_LT(label, num_classes);
+          // A prior can only be matched to one gt bbox.
+          break;
+        }
+      }
+      match_data[i * num_preds_per_class + p] = label;
+    }
+  }
+  // Get probability data.
+  const Dtype* conf_gpu_data = conf_blob.gpu_data();
+  TBlob<Dtype> prob_blob;
+  prob_blob.ReshapeLike(conf_blob);
+  if (loss_type == MultiBoxLossParameter_ConfLossType_SOFTMAX) {
+    Dtype* prob_gpu_data = prob_blob.mutable_gpu_data();
+    SoftMaxGPU(conf_blob.gpu_data(), num * num_preds_per_class, num_classes, 1,
+        prob_gpu_data);
+    conf_gpu_data = prob_blob.gpu_data();
+  }
+  // Compute the loss.
+  TBlob<Dtype> conf_loss_blob(num, num_preds_per_class, 1, 1);
+  Dtype* conf_loss_gpu_data = conf_loss_blob.mutable_gpu_data();
+  const int num_threads = num * num_preds_per_class;
+  // NOLINT_NEXT_LINE(whitespace/operators)
+  ComputeConfLossKernel<Dtype><<<CAFFE_GET_BLOCKS(num_threads),
+    CAFFE_CUDA_NUM_THREADS>>>(num_threads, conf_gpu_data, num_preds_per_class,
+        num_classes, loss_type, match_blob.gpu_data(), conf_loss_gpu_data);
+  // Save the loss.
+  all_conf_loss->clear();
+  const Dtype* loss_data = conf_loss_blob.cpu_data();
+  for (int i = 0; i < num; ++i) {
+    vector<float> conf_loss(loss_data, loss_data + num_preds_per_class);
+    all_conf_loss->push_back(conf_loss);
+    loss_data += num_preds_per_class;
+  }
+}
+
+// Explicit initialization.
+template void ComputeConfLossGPU(const TBlob<float>& conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      const int background_label_id, const ConfLossType loss_type,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      vector<vector<float> >* all_conf_loss);
+template void ComputeConfLossGPU(const TBlob<double>& conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      const int background_label_id, const ConfLossType loss_type,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      vector<vector<float> >* all_conf_loss);
+template void ComputeConfLossGPU(const TBlob<float16>& conf_data, const int num,
+      const int num_preds_per_class, const int num_classes,
+      const int background_label_id, const ConfLossType loss_type,
+      const vector<map<int, vector<int> > >& all_match_indices,
+      const map<int, vector<NormalizedBBox> >& all_gt_bboxes,
+      vector<vector<float> >* all_conf_loss);
+
+}  // namespace caffe
diff --git a/src/caffe/util/blocking_queue.cpp b/src/caffe/util/blocking_queue.cpp
index 0545b430119..696397b28a0 100644
--- a/src/caffe/util/blocking_queue.cpp
+++ b/src/caffe/util/blocking_queue.cpp
@@ -94,6 +94,7 @@ bool BlockingQueue<T>::nonblocking_size(size_t* size) const {
 template class BlockingQueue<int>;
 template class BlockingQueue<shared_ptr<Batch>>;
 template class BlockingQueue<shared_ptr<Datum>>;
+template class BlockingQueue<shared_ptr<AnnotatedDatum>>;
 template class BlockingQueue<P2PSync*>;
 template class BlockingQueue<shared_ptr<caffe::TBlob<float>>>;
 template class BlockingQueue<shared_ptr<caffe::TBlob<double>>>;
diff --git a/src/caffe/util/gpu_memory.cpp b/src/caffe/util/gpu_memory.cpp
index 9464bdd0cea..5c2ab8fda30 100644
--- a/src/caffe/util/gpu_memory.cpp
+++ b/src/caffe/util/gpu_memory.cpp
@@ -257,4 +257,16 @@ void GPUMemory::Manager::GetInfo(size_t* free_mem, size_t* total_mem, bool with_
   }
 }
 
+GPUMemory::PinnedBuffer::PinnedBuffer(size_t size) {
+  CHECK_GT(size, 0);
+  shared_lock<shared_mutex> lock(GPUMemory::read_write_mutex());
+  CUDA_CHECK(cudaHostAlloc(&hptr_, size, cudaHostAllocMapped));
+  CUDA_CHECK(cudaHostGetDevicePointer(&dptr_, hptr_, 0));
+}
+
+GPUMemory::PinnedBuffer::~PinnedBuffer() {
+  shared_lock<shared_mutex> lock(GPUMemory::read_write_mutex());
+  CUDA_CHECK(cudaFreeHost(hptr_));
+}
+
 }  // namespace caffe
diff --git a/src/caffe/util/im_transforms.cpp b/src/caffe/util/im_transforms.cpp
new file mode 100644
index 00000000000..2f179bc4ff0
--- /dev/null
+++ b/src/caffe/util/im_transforms.cpp
@@ -0,0 +1,729 @@
+#include <opencv2/highgui/highgui.hpp>
+
+#if CV_VERSION_MAJOR == 3
+#include <opencv2/imgcodecs/imgcodecs.hpp>
+#define CV_GRAY2BGR cv::COLOR_GRAY2BGR
+#define CV_BGR2GRAY cv::COLOR_BGR2GRAY
+#define CV_BGR2YCrCb cv::COLOR_BGR2YCrCb
+#define CV_YCrCb2BGR cv::COLOR_YCrCb2BGR
+#define CV_IMWRITE_JPEG_QUALITY cv::IMWRITE_JPEG_QUALITY
+#define CV_LOAD_IMAGE_COLOR cv::IMREAD_COLOR
+#define CV_THRESH_BINARY_INV cv::THRESH_BINARY_INV
+#define CV_THRESH_OTSU cv::THRESH_OTSU
+#endif
+
+#include <algorithm>
+#include <numeric>
+#include <vector>
+
+#include "caffe/util/im_transforms.hpp"
+#include "caffe/util/math_functions.hpp"
+
+namespace caffe {
+
+const float prob_eps = 0.01;
+
+int roll_weighted_die(const vector<float>& probabilities) {
+  vector<float> cumulative;
+  std::partial_sum(&probabilities[0], &probabilities[0] + probabilities.size(),
+                   std::back_inserter(cumulative));
+  float val;
+  caffe_rng_uniform(1, static_cast<float>(0), cumulative.back(), &val);
+
+  // Find the position within the sequence and add 1
+  return (std::lower_bound(cumulative.begin(), cumulative.end(), val)
+          - cumulative.begin());
+}
+
+void UpdateBBoxByResizePolicy(const ResizeParameter& param,
+                              const int old_width, const int old_height,
+                              NormalizedBBox* bbox) {
+  float new_height = param.height();
+  float new_width = param.width();
+  float orig_aspect = static_cast<float>(old_width) / old_height;
+  float new_aspect = new_width / new_height;
+
+  float x_min = bbox->xmin() * old_width;
+  float y_min = bbox->ymin() * old_height;
+  float x_max = bbox->xmax() * old_width;
+  float y_max = bbox->ymax() * old_height;
+  float padding;
+  switch (param.resize_mode()) {
+    case ResizeParameter_Resize_mode_WARP:
+      x_min = std::max(0.f, x_min * new_width / old_width);
+      x_max = std::min(new_width, x_max * new_width / old_width);
+      y_min = std::max(0.f, y_min * new_height / old_height);
+      y_max = std::min(new_height, y_max * new_height / old_height);
+      break;
+    case ResizeParameter_Resize_mode_FIT_LARGE_SIZE_AND_PAD:
+      if (orig_aspect > new_aspect) {
+        padding = (new_height - new_width / orig_aspect) / 2;
+        x_min = std::max(0.f, x_min * new_width / old_width);
+        x_max = std::min(new_width, x_max * new_width / old_width);
+        y_min = y_min * (new_height - 2 * padding) / old_height;
+        y_min = padding + std::max(0.f, y_min);
+        y_max = y_max * (new_height - 2 * padding) / old_height;
+        y_max = padding + std::min(new_height, y_max);
+      } else {
+        padding = (new_width - orig_aspect * new_height) / 2;
+        x_min = x_min * (new_width - 2 * padding) / old_width;
+        x_min = padding + std::max(0.f, x_min);
+        x_max = x_max * (new_width - 2 * padding) / old_width;
+        x_max = padding + std::min(new_width, x_max);
+        y_min = std::max(0.f, y_min * new_height / old_height);
+        y_max = std::min(new_height, y_max * new_height / old_height);
+      }
+      break;
+    case ResizeParameter_Resize_mode_FIT_SMALL_SIZE:
+      if (orig_aspect < new_aspect) {
+        new_height = new_width / orig_aspect;
+      } else {
+        new_width = orig_aspect * new_height;
+      }
+      x_min = std::max(0.f, x_min * new_width / old_width);
+      x_max = std::min(new_width, x_max * new_width / old_width);
+      y_min = std::max(0.f, y_min * new_height / old_height);
+      y_max = std::min(new_height, y_max * new_height / old_height);
+      break;
+    default:
+      LOG(FATAL) << "Unknown resize mode.";
+  }
+  bbox->set_xmin(x_min / new_width);
+  bbox->set_ymin(y_min / new_height);
+  bbox->set_xmax(x_max / new_width);
+  bbox->set_ymax(y_max / new_height);
+}
+
+void InferNewSize(const ResizeParameter& resize_param,
+                  const int old_width, const int old_height,
+                  int* new_width, int* new_height) {
+  int height = resize_param.height();
+  int width = resize_param.width();
+  float orig_aspect = static_cast<float>(old_width) / old_height;
+  float aspect = static_cast<float>(width) / height;
+
+  switch (resize_param.resize_mode()) {
+    case ResizeParameter_Resize_mode_WARP:
+      break;
+    case ResizeParameter_Resize_mode_FIT_LARGE_SIZE_AND_PAD:
+      break;
+    case ResizeParameter_Resize_mode_FIT_SMALL_SIZE:
+      if (orig_aspect < aspect) {
+        height = static_cast<int>(width / orig_aspect);
+      } else {
+        width = static_cast<int>(orig_aspect * height);
+      }
+      break;
+    default:
+      LOG(FATAL) << "Unknown resize mode.";
+  }
+  *new_height = height;
+  *new_width = width;
+}
+
+template <typename T>
+bool is_border(const cv::Mat& edge, T color) {
+  cv::Mat im = edge.clone().reshape(0, 1);
+  bool res = true;
+  for (int i = 0; i < im.cols; ++i) {
+    res &= (color == im.at<T>(0, i));
+  }
+  return res;
+}
+
+template
+bool is_border(const cv::Mat& edge, uchar color);
+
+template <typename T>
+cv::Rect CropMask(const cv::Mat& src, T point, int padding) {
+  cv::Rect win(0, 0, src.cols, src.rows);
+
+  vector<cv::Rect> edges;
+  edges.push_back(cv::Rect(0, 0, src.cols, 1));
+  edges.push_back(cv::Rect(src.cols-2, 0, 1, src.rows));
+  edges.push_back(cv::Rect(0, src.rows-2, src.cols, 1));
+  edges.push_back(cv::Rect(0, 0, 1, src.rows));
+
+  cv::Mat edge;
+  int nborder = 0;
+  T color = src.at<T>(0, 0);
+  for (int i = 0; i < edges.size(); ++i) {
+    edge = src(edges[i]);
+    nborder += is_border(edge, color);
+  }
+
+  if (nborder < 4) {
+    return win;
+  }
+
+  bool next;
+  do {
+    edge = src(cv::Rect(win.x, win.height - 2, win.width, 1));
+    next = is_border(edge, color);
+    if (next) {
+      win.height--;
+    }
+  } while (next && (win.height > 0));
+
+  do {
+    edge = src(cv::Rect(win.width - 2, win.y, 1, win.height));
+    next = is_border(edge, color);
+    if (next) {
+      win.width--;
+    }
+  } while (next && (win.width > 0));
+
+  do {
+    edge = src(cv::Rect(win.x, win.y, win.width, 1));
+    next = is_border(edge, color);
+    if (next) {
+      win.y++;
+      win.height--;
+    }
+  } while (next && (win.y <= src.rows));
+
+  do {
+    edge = src(cv::Rect(win.x, win.y, 1, win.height));
+    next = is_border(edge, color);
+    if (next) {
+      win.x++;
+      win.width--;
+    }
+  } while (next && (win.x <= src.cols));
+
+  // add padding
+  if (win.x > padding) {
+    win.x -= padding;
+  }
+  if (win.y > padding) {
+    win.y -= padding;
+  }
+  if ((win.width + win.x + padding) < src.cols) {
+    win.width += padding;
+  }
+  if ((win.height + win.y + padding) < src.rows) {
+    win.height += padding;
+  }
+
+  return win;
+}
+
+template
+cv::Rect CropMask(const cv::Mat& src, uchar point, int padding);
+
+cv::Mat colorReduce(const cv::Mat& image, int div) {
+  cv::Mat out_img;
+  cv::Mat lookUpTable(1, 256, CV_8U);
+  uchar* p = lookUpTable.data;
+  const int div_2 = div / 2;
+  for ( int i = 0; i < 256; ++i ) {
+    p[i] = i / div * div + div_2;
+  }
+  cv::LUT(image, lookUpTable, out_img);
+  return out_img;
+}
+
+void fillEdgeImage(const cv::Mat& edgesIn, cv::Mat* filledEdgesOut) {
+  cv::Mat edgesNeg = edgesIn.clone();
+  cv::Scalar val(255, 255, 255);
+  cv::floodFill(edgesNeg, cv::Point(0, 0), val);
+  cv::floodFill(edgesNeg, cv::Point(edgesIn.cols - 1, edgesIn.rows - 1), val);
+  cv::floodFill(edgesNeg, cv::Point(0, edgesIn.rows - 1), val);
+  cv::floodFill(edgesNeg, cv::Point(edgesIn.cols - 1, 0), val);
+  cv::bitwise_not(edgesNeg, edgesNeg);
+  *filledEdgesOut = (edgesNeg | edgesIn);
+  return;
+}
+
+void CenterObjectAndFillBg(const cv::Mat& in_img, const bool fill_bg,
+                           cv::Mat* out_img) {
+  cv::Mat mask, crop_mask;
+  if (in_img.channels() > 1) {
+    cv::Mat in_img_gray;
+    cv::cvtColor(in_img, in_img_gray, CV_BGR2GRAY);
+    cv::threshold(in_img_gray, mask, 0, 255,
+                  CV_THRESH_BINARY_INV | CV_THRESH_OTSU);
+  } else {
+    cv::threshold(in_img, mask, 0, 255,
+                  CV_THRESH_BINARY_INV | CV_THRESH_OTSU);
+  }
+  cv::Rect crop_rect = CropMask(mask, mask.at<uchar>(0, 0), 2);
+
+  if (fill_bg) {
+    cv::Mat temp_img = in_img(crop_rect);
+    fillEdgeImage(mask, &mask);
+    crop_mask = mask(crop_rect).clone();
+    *out_img = cv::Mat::zeros(crop_rect.size(), in_img.type());
+    temp_img.copyTo(*out_img, crop_mask);
+  } else {
+    *out_img = in_img(crop_rect).clone();
+  }
+}
+
+cv::Mat AspectKeepingResizeAndPad(const cv::Mat& in_img,
+                                  const int new_width, const int new_height,
+                                  const int pad_type,  const cv::Scalar pad_val,
+                                  const int interp_mode) {
+  cv::Mat img_resized;
+  float orig_aspect = static_cast<float>(in_img.cols) / in_img.rows;
+  float new_aspect = static_cast<float>(new_width) / new_height;
+
+  if (orig_aspect > new_aspect) {
+    int height = floor(static_cast<float>(new_width) / orig_aspect);
+    cv::resize(in_img, img_resized, cv::Size(new_width, height), 0, 0,
+               interp_mode);
+    cv::Size resSize = img_resized.size();
+    int padding = floor((new_height - resSize.height) / 2.0);
+    cv::copyMakeBorder(img_resized, img_resized, padding,
+                       new_height - resSize.height - padding, 0, 0,
+                       pad_type, pad_val);
+  } else {
+    int width = floor(orig_aspect * new_height);
+    cv::resize(in_img, img_resized, cv::Size(width, new_height), 0, 0,
+               interp_mode);
+    cv::Size resSize = img_resized.size();
+    int padding = floor((new_width - resSize.width) / 2.0);
+    cv::copyMakeBorder(img_resized, img_resized, 0, 0, padding,
+                       new_width - resSize.width - padding,
+                       pad_type, pad_val);
+  }
+  return img_resized;
+}
+
+cv::Mat AspectKeepingResizeBySmall(const cv::Mat& in_img,
+                                   const int new_width,
+                                   const int new_height,
+                                   const int interp_mode) {
+  cv::Mat img_resized;
+  float orig_aspect = static_cast<float>(in_img.cols) / in_img.rows;
+  float new_aspect = static_cast<float> (new_width) / new_height;
+
+  if (orig_aspect < new_aspect) {
+    int height = floor(static_cast<float>(new_width) / orig_aspect);
+    cv::resize(in_img, img_resized, cv::Size(new_width, height), 0, 0,
+               interp_mode);
+  } else {
+    int width = floor(orig_aspect * new_height);
+    cv::resize(in_img, img_resized, cv::Size(width, new_height), 0, 0,
+               interp_mode);
+  }
+  return img_resized;
+}
+
+void constantNoise(const int n, const vector<uchar>& val, cv::Mat* image) {
+  const int cols = image->cols;
+  const int rows = image->rows;
+
+  if (image->channels() == 1) {
+    for (int k = 0; k < n; ++k) {
+      const int i = caffe_rng_rand() % cols;
+      const int j = caffe_rng_rand() % rows;
+      uchar* ptr = image->ptr<uchar>(j);
+      ptr[i]= val[0];
+    }
+  } else if (image->channels() == 3) {  // color image
+    for (int k = 0; k < n; ++k) {
+      const int i = caffe_rng_rand() % cols;
+      const int j = caffe_rng_rand() % rows;
+      cv::Vec3b* ptr = image->ptr<cv::Vec3b>(j);
+      (ptr[i])[0] = val[0];
+      (ptr[i])[1] = val[1];
+      (ptr[i])[2] = val[2];
+    }
+  }
+}
+
+cv::Mat ApplyResize(const cv::Mat& in_img, const ResizeParameter& param) {
+  cv::Mat out_img;
+
+  // Reading parameters
+  const int new_height = param.height();
+  const int new_width = param.width();
+
+  int pad_mode = cv::BORDER_CONSTANT;
+  switch (param.pad_mode()) {
+    case ResizeParameter_Pad_mode_CONSTANT:
+      break;
+    case ResizeParameter_Pad_mode_MIRRORED:
+      pad_mode = cv::BORDER_REFLECT101;
+      break;
+    case ResizeParameter_Pad_mode_REPEAT_NEAREST:
+      pad_mode = cv::BORDER_REPLICATE;
+      break;
+    default:
+      LOG(FATAL) << "Unknown pad mode.";
+  }
+
+  int interp_mode = cv::INTER_LINEAR;
+  int num_interp_mode = param.interp_mode_size();
+  if (num_interp_mode > 0) {
+    vector<float> probs(num_interp_mode, 1.f / num_interp_mode);
+    int prob_num = roll_weighted_die(probs);
+    switch (param.interp_mode(prob_num)) {
+      case ResizeParameter_Interp_mode_AREA:
+        interp_mode = cv::INTER_AREA;
+        break;
+      case ResizeParameter_Interp_mode_CUBIC:
+        interp_mode = cv::INTER_CUBIC;
+        break;
+      case ResizeParameter_Interp_mode_LINEAR:
+        interp_mode = cv::INTER_LINEAR;
+        break;
+      case ResizeParameter_Interp_mode_NEAREST:
+        interp_mode = cv::INTER_NEAREST;
+        break;
+      case ResizeParameter_Interp_mode_LANCZOS4:
+        interp_mode = cv::INTER_LANCZOS4;
+        break;
+      default:
+        LOG(FATAL) << "Unknown interp mode.";
+    }
+  }
+
+  cv::Scalar pad_val = cv::Scalar(0, 0, 0);
+  const int img_channels = in_img.channels();
+  if (param.pad_value_size() > 0) {
+    CHECK(param.pad_value_size() == 1 ||
+          param.pad_value_size() == img_channels) <<
+        "Specify either 1 pad_value or as many as channels: " << img_channels;
+    vector<float> pad_values;
+    for (int i = 0; i < param.pad_value_size(); ++i) {
+      pad_values.push_back(param.pad_value(i));
+    }
+    if (img_channels > 1 && param.pad_value_size() == 1) {
+      // Replicate the pad_value for simplicity
+      for (int c = 1; c < img_channels; ++c) {
+        pad_values.push_back(pad_values[0]);
+      }
+    }
+    pad_val = cv::Scalar(pad_values[0], pad_values[1], pad_values[2]);
+  }
+
+  switch (param.resize_mode()) {
+    case ResizeParameter_Resize_mode_WARP:
+      cv::resize(in_img, out_img, cv::Size(new_width, new_height), 0, 0,
+                 interp_mode);
+      break;
+    case ResizeParameter_Resize_mode_FIT_LARGE_SIZE_AND_PAD:
+      out_img = AspectKeepingResizeAndPad(in_img, new_width, new_height,
+                                          pad_mode, pad_val, interp_mode);
+      break;
+    case ResizeParameter_Resize_mode_FIT_SMALL_SIZE:
+      out_img = AspectKeepingResizeBySmall(in_img, new_width, new_height,
+                                           interp_mode);
+      break;
+    default:
+      LOG(INFO) << "Unknown resize mode.";
+  }
+  return  out_img;
+}
+
+cv::Mat ApplyNoise(const cv::Mat& in_img, const NoiseParameter& param) {
+  cv::Mat out_img;
+
+  if (param.decolorize()) {
+    cv::Mat grayscale_img;
+    cv::cvtColor(in_img, grayscale_img, CV_BGR2GRAY);
+    cv::cvtColor(grayscale_img, out_img,  CV_GRAY2BGR);
+  } else {
+    out_img = in_img;
+  }
+
+  if (param.gauss_blur()) {
+    cv::GaussianBlur(out_img, out_img, cv::Size(7, 7), 1.5);
+  }
+
+  if (param.hist_eq()) {
+    if (out_img.channels() > 1) {
+      cv::Mat ycrcb_image;
+      cv::cvtColor(out_img, ycrcb_image, CV_BGR2YCrCb);
+      // Extract the L channel
+      vector<cv::Mat> ycrcb_planes(3);
+      cv::split(ycrcb_image, ycrcb_planes);
+      // now we have the L image in ycrcb_planes[0]
+      cv::Mat dst;
+      cv::equalizeHist(ycrcb_planes[0], dst);
+      ycrcb_planes[0] = dst;
+      cv::merge(ycrcb_planes, ycrcb_image);
+      // convert back to RGB
+      cv::cvtColor(ycrcb_image, out_img, CV_YCrCb2BGR);
+    } else {
+      cv::Mat temp_img;
+      cv::equalizeHist(out_img, temp_img);
+      out_img = temp_img;
+    }
+  }
+
+  if (param.clahe()) {
+    cv::Ptr<cv::CLAHE> clahe = cv::createCLAHE();
+    clahe->setClipLimit(4);
+    if (out_img.channels() > 1) {
+      cv::Mat ycrcb_image;
+      cv::cvtColor(out_img, ycrcb_image, CV_BGR2YCrCb);
+      // Extract the L channel
+      vector<cv::Mat> ycrcb_planes(3);
+      cv::split(ycrcb_image, ycrcb_planes);
+      // now we have the L image in ycrcb_planes[0]
+      cv::Mat dst;
+      clahe->apply(ycrcb_planes[0], dst);
+      ycrcb_planes[0] = dst;
+      cv::merge(ycrcb_planes, ycrcb_image);
+      // convert back to RGB
+      cv::cvtColor(ycrcb_image, out_img, CV_YCrCb2BGR);
+    } else {
+      cv::Ptr<cv::CLAHE> clahe = cv::createCLAHE();
+      clahe->setClipLimit(4);
+      cv::Mat temp_img;
+      clahe->apply(out_img, temp_img);
+      out_img = temp_img;
+    }
+  }
+
+  if (param.jpeg() > 0) {
+    vector<uchar> buf;
+    vector<int> params;
+    params.push_back(CV_IMWRITE_JPEG_QUALITY);
+    params.push_back(param.jpeg());
+    cv::imencode(".jpg", out_img, buf, params);
+    out_img = cv::imdecode(buf, CV_LOAD_IMAGE_COLOR);
+  }
+
+  if (param.erode()) {
+    cv::Mat element = cv::getStructuringElement(
+        2, cv::Size(3, 3), cv::Point(1, 1));
+    cv::erode(out_img, out_img, element);
+  }
+
+  if (param.posterize()) {
+    cv::Mat tmp_img;
+    tmp_img = colorReduce(out_img);
+    out_img = tmp_img;
+  }
+
+  if (param.inverse()) {
+    cv::Mat tmp_img;
+    cv::bitwise_not(out_img, tmp_img);
+    out_img = tmp_img;
+  }
+
+  vector<uchar> noise_values;
+  if (param.saltpepper_param().value_size() > 0) {
+    CHECK(param.saltpepper_param().value_size() == 1
+          || param.saltpepper_param().value_size() == out_img.channels())
+        << "Specify either 1 pad_value or as many as channels: "
+        << out_img.channels();
+
+    for (int i = 0; i < param.saltpepper_param().value_size(); i++) {
+      noise_values.push_back(uchar(param.saltpepper_param().value(i)));
+    }
+    if (out_img.channels()  > 1
+        && param.saltpepper_param().value_size() == 1) {
+      // Replicate the pad_value for simplicity
+      for (int c = 1; c < out_img.channels(); ++c) {
+        noise_values.push_back(uchar(noise_values[0]));
+      }
+    }
+  }
+  if (param.saltpepper()) {
+    const int noise_pixels_num =
+        floor(param.saltpepper_param().fraction()
+              * out_img.cols * out_img.rows);
+    constantNoise(noise_pixels_num, noise_values, &out_img);
+  }
+
+  if (param.convert_to_hsv()) {
+    cv::Mat hsv_image;
+    cv::cvtColor(out_img, hsv_image, CV_BGR2HSV);
+    out_img = hsv_image;
+  }
+  if (param.convert_to_lab()) {
+    cv::Mat lab_image;
+    out_img.convertTo(lab_image, CV_32F);
+    lab_image *= 1.0 / 255;
+    cv::cvtColor(lab_image, out_img, CV_BGR2Lab);
+  }
+  return  out_img;
+}
+
+void RandomBrightness(const cv::Mat& in_img, cv::Mat* out_img,
+    const float brightness_prob, const float brightness_delta) {
+  float prob;
+  caffe_rng_uniform(1, 0.f, 1.f, &prob);
+  if (prob < brightness_prob) {
+    CHECK_GE(brightness_delta, 0) << "brightness_delta must be non-negative.";
+    float delta;
+    caffe_rng_uniform(1, -brightness_delta, brightness_delta, &delta);
+    AdjustBrightness(in_img, delta, out_img);
+  } else {
+    *out_img = in_img;
+  }
+}
+
+void AdjustBrightness(const cv::Mat& in_img, const float delta,
+                      cv::Mat* out_img) {
+  if (fabs(delta) > 0) {
+    in_img.convertTo(*out_img, -1, 1, delta);
+  } else {
+    *out_img = in_img;
+  }
+}
+
+void RandomContrast(const cv::Mat& in_img, cv::Mat* out_img,
+    const float contrast_prob, const float lower, const float upper) {
+  float prob;
+  caffe_rng_uniform(1, 0.f, 1.f, &prob);
+  if (prob < contrast_prob) {
+    CHECK_GE(upper, lower) << "contrast upper must be >= lower.";
+    CHECK_GE(lower, 0) << "contrast lower must be non-negative.";
+    float delta;
+    caffe_rng_uniform(1, lower, upper, &delta);
+    AdjustContrast(in_img, delta, out_img);
+  } else {
+    *out_img = in_img;
+  }
+}
+
+void AdjustContrast(const cv::Mat& in_img, const float delta,
+                    cv::Mat* out_img) {
+  if (fabs(delta - 1.f) > 1e-3) {
+    in_img.convertTo(*out_img, -1, delta, 0);
+  } else {
+    *out_img = in_img;
+  }
+}
+
+void RandomSaturation(const cv::Mat& in_img, cv::Mat* out_img,
+    const float saturation_prob, const float lower, const float upper) {
+  float prob;
+  caffe_rng_uniform(1, 0.f, 1.f, &prob);
+  if (prob < saturation_prob) {
+    CHECK_GE(upper, lower) << "saturation upper must be >= lower.";
+    CHECK_GE(lower, 0) << "saturation lower must be non-negative.";
+    float delta;
+    caffe_rng_uniform(1, lower, upper, &delta);
+    AdjustSaturation(in_img, delta, out_img);
+  } else {
+    *out_img = in_img;
+  }
+}
+
+void AdjustSaturation(const cv::Mat& in_img, const float delta,
+                      cv::Mat* out_img) {
+  if (fabs(delta - 1.f) != 1e-3) {
+    // Convert to HSV colorspae.
+    cv::cvtColor(in_img, *out_img, CV_BGR2HSV);
+
+    // Split the image to 3 channels.
+    vector<cv::Mat> channels;
+    cv::split(*out_img, channels);
+
+    // Adjust the saturation.
+    channels[1].convertTo(channels[1], -1, delta, 0);
+    cv::merge(channels, *out_img);
+
+    // Back to BGR colorspace.
+    cvtColor(*out_img, *out_img, CV_HSV2BGR);
+  } else {
+    *out_img = in_img;
+  }
+}
+
+void RandomHue(const cv::Mat& in_img, cv::Mat* out_img,
+               const float hue_prob, const float hue_delta) {
+  float prob;
+  caffe_rng_uniform(1, 0.f, 1.f, &prob);
+  if (prob < hue_prob) {
+    CHECK_GE(hue_delta, 0) << "hue_delta must be non-negative.";
+    float delta;
+    caffe_rng_uniform(1, -hue_delta, hue_delta, &delta);
+    AdjustHue(in_img, delta, out_img);
+  } else {
+    *out_img = in_img;
+  }
+}
+
+void AdjustHue(const cv::Mat& in_img, const float delta, cv::Mat* out_img) {
+  if (fabs(delta) > 0) {
+    // Convert to HSV colorspae.
+    cv::cvtColor(in_img, *out_img, CV_BGR2HSV);
+
+    // Split the image to 3 channels.
+    vector<cv::Mat> channels;
+    cv::split(*out_img, channels);
+
+    // Adjust the hue.
+    channels[0].convertTo(channels[0], -1, 1, delta);
+    cv::merge(channels, *out_img);
+
+    // Back to BGR colorspace.
+    cvtColor(*out_img, *out_img, CV_HSV2BGR);
+  } else {
+    *out_img = in_img;
+  }
+}
+
+void RandomOrderChannels(const cv::Mat& in_img, cv::Mat* out_img,
+                         const float random_order_prob) {
+  float prob;
+  caffe_rng_uniform(1, 0.f, 1.f, &prob);
+  if (prob < random_order_prob) {
+    // Split the image to 3 channels.
+    vector<cv::Mat> channels;
+    cv::split(*out_img, channels);
+    CHECK_EQ(channels.size(), 3);
+
+    // Shuffle the channels.
+    std::random_shuffle(channels.begin(), channels.end());
+    cv::merge(channels, *out_img);
+  } else {
+    *out_img = in_img;
+  }
+}
+
+cv::Mat ApplyDistort(const cv::Mat& in_img, const DistortionParameter& param) {
+  cv::Mat out_img = in_img;
+  float prob;
+  caffe_rng_uniform(1, 0.f, 1.f, &prob);
+
+  if (prob > 0.5) {
+    // Do random brightness distortion.
+    RandomBrightness(out_img, &out_img, param.brightness_prob(),
+                     param.brightness_delta());
+
+    // Do random contrast distortion.
+    RandomContrast(out_img, &out_img, param.contrast_prob(),
+                   param.contrast_lower(), param.contrast_upper());
+
+    // Do random saturation distortion.
+    RandomSaturation(out_img, &out_img, param.saturation_prob(),
+                     param.saturation_lower(), param.saturation_upper());
+
+    // Do random hue distortion.
+    RandomHue(out_img, &out_img, param.hue_prob(), param.hue_delta());
+
+    // Do random reordering of the channels.
+    RandomOrderChannels(out_img, &out_img, param.random_order_prob());
+  } else {
+    // Do random brightness distortion.
+    RandomBrightness(out_img, &out_img, param.brightness_prob(),
+                     param.brightness_delta());
+
+    // Do random saturation distortion.
+    RandomSaturation(out_img, &out_img, param.saturation_prob(),
+                     param.saturation_lower(), param.saturation_upper());
+
+    // Do random hue distortion.
+    RandomHue(out_img, &out_img, param.hue_prob(), param.hue_delta());
+
+    // Do random contrast distortion.
+    RandomContrast(out_img, &out_img, param.contrast_prob(),
+                   param.contrast_lower(), param.contrast_upper());
+
+    // Do random reordering of the channels.
+    RandomOrderChannels(out_img, &out_img, param.random_order_prob());
+  }
+
+  return out_img;
+}
+
+}  // namespace caffe
diff --git a/src/caffe/util/io.cpp b/src/caffe/util/io.cpp
index 9ef6c38a108..ebd7dc40932 100644
--- a/src/caffe/util/io.cpp
+++ b/src/caffe/util/io.cpp
@@ -1,3 +1,10 @@
+#include <boost/algorithm/string/classification.hpp>
+#include <boost/algorithm/string/split.hpp>
+#include <boost/filesystem.hpp>
+#include <boost/foreach.hpp>
+#include <boost/property_tree/json_parser.hpp>
+#include <boost/property_tree/ptree.hpp>
+#include <boost/property_tree/xml_parser.hpp>
 #include <fcntl.h>
 #include <google/protobuf/io/coded_stream.h>
 #include <google/protobuf/io/zero_copy_stream_impl.h>
@@ -6,6 +13,7 @@
 #include <opencv2/highgui/highgui.hpp>
 #include <opencv2/imgproc/imgproc.hpp>
 #include <fstream>  // NOLINT(readability/streams)
+#include <map>
 #include <turbojpeg.h>
 
 #include "caffe/blob.hpp"
@@ -15,6 +23,7 @@ const int kProtoReadBytesLimit = INT_MAX;  // Max size of 2 GB minus 1 byte.
 
 namespace caffe {
 
+using namespace boost::property_tree;  // NOLINT(build/namespaces)
 using google::protobuf::io::FileInputStream;
 using google::protobuf::io::FileOutputStream;
 using google::protobuf::io::ZeroCopyInputStream;
@@ -209,6 +218,49 @@ cv::Mat ReadImageToCVMat(const string& filename,
   return cv_img;
 }
 
+cv::Mat ReadImageToCVMat(const string& filename, const int height,
+    const int width, const int min_dim, const int max_dim,
+    const bool is_color) {
+  cv::Mat cv_img;
+  int cv_read_flag = (is_color ? CV_LOAD_IMAGE_COLOR :
+    CV_LOAD_IMAGE_GRAYSCALE);
+  cv::Mat cv_img_origin = cv::imread(filename, cv_read_flag);
+  if (!cv_img_origin.data) {
+    LOG(ERROR) << "Could not open or find file " << filename;
+    return cv_img_origin;
+  }
+  if (min_dim > 0 || max_dim > 0) {
+    int num_rows = cv_img_origin.rows;
+    int num_cols = cv_img_origin.cols;
+    int min_num = std::min(num_rows, num_cols);
+    int max_num = std::max(num_rows, num_cols);
+    float scale_factor = 1;
+    if (min_dim > 0 && min_num < min_dim) {
+      scale_factor = static_cast<float>(min_dim) / min_num;
+    }
+    if (max_dim > 0 && static_cast<int>(scale_factor * max_num) > max_dim) {
+      // Make sure the maximum dimension is less than max_dim.
+      scale_factor = static_cast<float>(max_dim) / max_num;
+    }
+    if (scale_factor == 1) {
+      cv_img = cv_img_origin;
+    } else {
+      cv::resize(cv_img_origin, cv_img, cv::Size(0, 0),
+                 scale_factor, scale_factor);
+    }
+  } else if (height > 0 && width > 0) {
+    cv::resize(cv_img_origin, cv_img, cv::Size(width, height));
+  } else {
+    cv_img = cv_img_origin;
+  }
+  return cv_img;
+}
+
+cv::Mat ReadImageToCVMat(const string& filename, const int height,
+    const int width, const int min_dim, const int max_dim) {
+  return ReadImageToCVMat(filename, height, width, min_dim, max_dim, true);
+}
+
 cv::Mat ReadImageToCVMat(const string& filename,
     const int height, const int width) {
   return ReadImageToCVMat(filename, height, width, true);
@@ -263,7 +315,494 @@ bool ReadImageToDatum(const string& filename, const int label,
   }
 }
 
-// tests only, TODO: clean
+bool ReadImageToDatum(const string& filename, const int label,
+    const int height, const int width, const int min_dim, const int max_dim,
+    const bool is_color, const std::string & encoding, Datum* datum) {
+  cv::Mat cv_img = ReadImageToCVMat(filename, height, width, min_dim, max_dim,
+                                    is_color);
+  if (cv_img.data) {
+    if (encoding.size()) {
+      if ( (cv_img.channels() == 3) == is_color && !height && !width &&
+          !min_dim && !max_dim && matchExt(filename, encoding) ) {
+        datum->set_channels(cv_img.channels());
+        datum->set_height(cv_img.rows);
+        datum->set_width(cv_img.cols);
+        return ReadFileToDatum(filename, label, datum);
+      }
+      EncodeCVMatToDatum(cv_img, encoding, datum);
+      datum->set_label(label);
+      return true;
+    }
+    CVMatToDatum(cv_img, *datum);
+    datum->set_label(label);
+    return true;
+  } else {
+    return false;
+  }
+}
+
+void GetImageSize(const string& filename, int* height, int* width) {
+  cv::Mat cv_img = cv::imread(filename);
+  if (!cv_img.data) {
+    LOG(ERROR) << "Could not open or find file " << filename;
+    return;
+  }
+  *height = cv_img.rows;
+  *width = cv_img.cols;
+}
+
+bool ReadRichImageToAnnotatedDatum(const string& filename,
+    const string& labelfile, const int height, const int width,
+    const int min_dim, const int max_dim, const bool is_color,
+    const string& encoding, const AnnotatedDatum_AnnotationType type,
+    const string& labeltype, const std::map<string, int>& name_to_label,
+    AnnotatedDatum* anno_datum) {
+  // Read image to datum.
+  bool status = ReadImageToDatum(filename, -1, height, width,
+                                 min_dim, max_dim, is_color, encoding,
+                                 anno_datum->mutable_datum());
+  if (status == false) {
+    return status;
+  }
+  anno_datum->clear_annotation_group();
+  if (!boost::filesystem::exists(labelfile)) {
+    return true;
+  }
+  switch (type) {
+    case AnnotatedDatum_AnnotationType_BBOX:
+      int ori_height, ori_width;
+      GetImageSize(filename, &ori_height, &ori_width);
+      if (labeltype == "xml") {
+        return ReadXMLToAnnotatedDatum(labelfile, ori_height, ori_width,
+                                       name_to_label, anno_datum);
+      } else if (labeltype == "json") {
+        return ReadJSONToAnnotatedDatum(labelfile, ori_height, ori_width,
+                                        name_to_label, anno_datum);
+      } else if (labeltype == "txt") {
+        return ReadTxtToAnnotatedDatum(labelfile, ori_height, ori_width,
+                                       anno_datum);
+      } else {
+        LOG(FATAL) << "Unknown label file type.";
+        return false;
+      }
+      break;
+    default:
+      LOG(FATAL) << "Unknown annotation type.";
+      return false;
+  }
+}
+
+//bool ReadFileToDatum(const string& filename, const int label,
+//    Datum* datum) {
+//  std::streampos size;
+//
+//  fstream file(filename.c_str(), ios::in|ios::binary|ios::ate);
+//  if (file.is_open()) {
+//    size = file.tellg();
+//    std::string buffer(size, ' ');
+//    file.seekg(0, ios::beg);
+//    file.read(&buffer[0], size);
+//    file.close();
+//    datum->set_data(buffer);
+//    datum->set_label(label);
+//    datum->set_encoded(true);
+//    return true;
+//  } else {
+//    return false;
+//  }
+//}
+
+// Parse VOC/ILSVRC detection annotation.
+bool ReadXMLToAnnotatedDatum(const string& labelfile, const int img_height,
+    const int img_width, const std::map<string, int>& name_to_label,
+    AnnotatedDatum* anno_datum) {
+  ptree pt;
+  read_xml(labelfile, pt);
+
+  // Parse annotation.
+  int width = 0, height = 0;
+  try {
+    height = pt.get<int>("annotation.size.height");
+    width = pt.get<int>("annotation.size.width");
+  } catch (const ptree_error &e) {
+    LOG(WARNING) << "When parsing " << labelfile << ": " << e.what();
+    height = img_height;
+    width = img_width;
+  }
+  LOG_IF(WARNING, height != img_height) << labelfile <<
+      " inconsistent image height.";
+  LOG_IF(WARNING, width != img_width) << labelfile <<
+      " inconsistent image width.";
+  CHECK(width != 0 && height != 0) << labelfile <<
+      " no valid image width/height.";
+  int instance_id = 0;
+  BOOST_FOREACH(ptree::value_type &v1, pt.get_child("annotation")) {
+    ptree pt1 = v1.second;
+    if (v1.first == "object") {
+      Annotation* anno = NULL;
+      bool difficult = false;
+      ptree object = v1.second;
+      BOOST_FOREACH(ptree::value_type &v2, object.get_child("")) {
+        ptree pt2 = v2.second;
+        if (v2.first == "name") {
+          string name = pt2.data();
+          if (name_to_label.find(name) == name_to_label.end()) {
+            LOG(FATAL) << "Unknown name: " << name;
+          }
+          int label = name_to_label.find(name)->second;
+          bool found_group = false;
+          for (int g = 0; g < anno_datum->annotation_group_size(); ++g) {
+            AnnotationGroup* anno_group =
+                anno_datum->mutable_annotation_group(g);
+            if (label == anno_group->group_label()) {
+              if (anno_group->annotation_size() == 0) {
+                instance_id = 0;
+              } else {
+                instance_id = anno_group->annotation(
+                    anno_group->annotation_size() - 1).instance_id() + 1;
+              }
+              anno = anno_group->add_annotation();
+              found_group = true;
+            }
+          }
+          if (!found_group) {
+            // If there is no such annotation_group, create a new one.
+            AnnotationGroup* anno_group = anno_datum->add_annotation_group();
+            anno_group->set_group_label(label);
+            anno = anno_group->add_annotation();
+            instance_id = 0;
+          }
+          anno->set_instance_id(instance_id++);
+        } else if (v2.first == "difficult") {
+          difficult = pt2.data() == "1";
+        } else if (v2.first == "bndbox") {
+          int xmin = pt2.get("xmin", 0);
+          int ymin = pt2.get("ymin", 0);
+          int xmax = pt2.get("xmax", 0);
+          int ymax = pt2.get("ymax", 0);
+          CHECK_NOTNULL(anno);
+          LOG_IF(WARNING, xmin > width) << labelfile <<
+              " bounding box exceeds image boundary.";
+          LOG_IF(WARNING, ymin > height) << labelfile <<
+              " bounding box exceeds image boundary.";
+          LOG_IF(WARNING, xmax > width) << labelfile <<
+              " bounding box exceeds image boundary.";
+          LOG_IF(WARNING, ymax > height) << labelfile <<
+              " bounding box exceeds image boundary.";
+          LOG_IF(WARNING, xmin < 0) << labelfile <<
+              " bounding box exceeds image boundary.";
+          LOG_IF(WARNING, ymin < 0) << labelfile <<
+              " bounding box exceeds image boundary.";
+          LOG_IF(WARNING, xmax < 0) << labelfile <<
+              " bounding box exceeds image boundary.";
+          LOG_IF(WARNING, ymax < 0) << labelfile <<
+              " bounding box exceeds image boundary.";
+          LOG_IF(WARNING, xmin > xmax) << labelfile <<
+              " bounding box irregular.";
+          LOG_IF(WARNING, ymin > ymax) << labelfile <<
+              " bounding box irregular.";
+          // Store the normalized bounding box.
+          NormalizedBBox* bbox = anno->mutable_bbox();
+          bbox->set_xmin(static_cast<float>(xmin) / width);
+          bbox->set_ymin(static_cast<float>(ymin) / height);
+          bbox->set_xmax(static_cast<float>(xmax) / width);
+          bbox->set_ymax(static_cast<float>(ymax) / height);
+          bbox->set_difficult(difficult);
+        }
+      }
+    }
+  }
+  return true;
+}
+
+// Parse MSCOCO detection annotation.
+bool ReadJSONToAnnotatedDatum(const string& labelfile, const int img_height,
+    const int img_width, const std::map<string, int>& name_to_label,
+    AnnotatedDatum* anno_datum) {
+  ptree pt;
+  read_json(labelfile, pt);
+
+  // Get image info.
+  int width = 0, height = 0;
+  try {
+    height = pt.get<int>("image.height");
+    width = pt.get<int>("image.width");
+  } catch (const ptree_error &e) {
+    LOG(WARNING) << "When parsing " << labelfile << ": " << e.what();
+    height = img_height;
+    width = img_width;
+  }
+  LOG_IF(WARNING, height != img_height) << labelfile <<
+      " inconsistent image height.";
+  LOG_IF(WARNING, width != img_width) << labelfile <<
+      " inconsistent image width.";
+  CHECK(width != 0 && height != 0) << labelfile <<
+      " no valid image width/height.";
+
+  // Get annotation info.
+  int instance_id = 0;
+  BOOST_FOREACH(ptree::value_type& v1, pt.get_child("annotation")) {
+    Annotation* anno = NULL;
+    bool iscrowd = false;
+    ptree object = v1.second;
+    // Get category_id.
+    string name = object.get<string>("category_id");
+    if (name_to_label.find(name) == name_to_label.end()) {
+      LOG(FATAL) << "Unknown name: " << name;
+    }
+    int label = name_to_label.find(name)->second;
+    bool found_group = false;
+    for (int g = 0; g < anno_datum->annotation_group_size(); ++g) {
+      AnnotationGroup* anno_group =
+          anno_datum->mutable_annotation_group(g);
+      if (label == anno_group->group_label()) {
+        if (anno_group->annotation_size() == 0) {
+          instance_id = 0;
+        } else {
+          instance_id = anno_group->annotation(
+              anno_group->annotation_size() - 1).instance_id() + 1;
+        }
+        anno = anno_group->add_annotation();
+        found_group = true;
+      }
+    }
+    if (!found_group) {
+      // If there is no such annotation_group, create a new one.
+      AnnotationGroup* anno_group = anno_datum->add_annotation_group();
+      anno_group->set_group_label(label);
+      anno = anno_group->add_annotation();
+      instance_id = 0;
+    }
+    anno->set_instance_id(instance_id++);
+
+    // Get iscrowd.
+    iscrowd = object.get<int>("iscrowd", 0);
+
+    // Get bbox.
+    vector<float> bbox_items;
+    BOOST_FOREACH(ptree::value_type& v2, object.get_child("bbox")) {
+      bbox_items.push_back(v2.second.get_value<float>());
+    }
+    CHECK_EQ(bbox_items.size(), 4);
+    float xmin = bbox_items[0];
+    float ymin = bbox_items[1];
+    float xmax = bbox_items[0] + bbox_items[2];
+    float ymax = bbox_items[1] + bbox_items[3];
+    CHECK_NOTNULL(anno);
+    LOG_IF(WARNING, xmin > width) << labelfile <<
+        " bounding box exceeds image boundary.";
+    LOG_IF(WARNING, ymin > height) << labelfile <<
+        " bounding box exceeds image boundary.";
+    LOG_IF(WARNING, xmax > width) << labelfile <<
+        " bounding box exceeds image boundary.";
+    LOG_IF(WARNING, ymax > height) << labelfile <<
+        " bounding box exceeds image boundary.";
+    LOG_IF(WARNING, xmin < 0) << labelfile <<
+        " bounding box exceeds image boundary.";
+    LOG_IF(WARNING, ymin < 0) << labelfile <<
+        " bounding box exceeds image boundary.";
+    LOG_IF(WARNING, xmax < 0) << labelfile <<
+        " bounding box exceeds image boundary.";
+    LOG_IF(WARNING, ymax < 0) << labelfile <<
+        " bounding box exceeds image boundary.";
+    LOG_IF(WARNING, xmin > xmax) << labelfile <<
+        " bounding box irregular.";
+    LOG_IF(WARNING, ymin > ymax) << labelfile <<
+        " bounding box irregular.";
+    // Store the normalized bounding box.
+    NormalizedBBox* bbox = anno->mutable_bbox();
+    bbox->set_xmin(xmin / width);
+    bbox->set_ymin(ymin / height);
+    bbox->set_xmax(xmax / width);
+    bbox->set_ymax(ymax / height);
+    bbox->set_difficult(iscrowd);
+  }
+  return true;
+}
+
+// Parse plain txt detection annotation: label_id, xmin, ymin, xmax, ymax.
+bool ReadTxtToAnnotatedDatum(const string& labelfile, const int height,
+    const int width, AnnotatedDatum* anno_datum) {
+  std::ifstream infile(labelfile.c_str());
+  if (!infile.good()) {
+    LOG(INFO) << "Cannot open " << labelfile;
+    return false;
+  }
+  int label;
+  float xmin, ymin, xmax, ymax;
+  while (infile >> label >> xmin >> ymin >> xmax >> ymax) {
+    Annotation* anno = NULL;
+    int instance_id = 0;
+    bool found_group = false;
+    for (int g = 0; g < anno_datum->annotation_group_size(); ++g) {
+      AnnotationGroup* anno_group = anno_datum->mutable_annotation_group(g);
+      if (label == anno_group->group_label()) {
+        if (anno_group->annotation_size() == 0) {
+          instance_id = 0;
+        } else {
+          instance_id = anno_group->annotation(
+              anno_group->annotation_size() - 1).instance_id() + 1;
+        }
+        anno = anno_group->add_annotation();
+        found_group = true;
+      }
+    }
+    if (!found_group) {
+      // If there is no such annotation_group, create a new one.
+      AnnotationGroup* anno_group = anno_datum->add_annotation_group();
+      anno_group->set_group_label(label);
+      anno = anno_group->add_annotation();
+      instance_id = 0;
+    }
+    anno->set_instance_id(instance_id++);
+    LOG_IF(WARNING, xmin > width) << labelfile <<
+      " bounding box exceeds image boundary.";
+    LOG_IF(WARNING, ymin > height) << labelfile <<
+      " bounding box exceeds image boundary.";
+    LOG_IF(WARNING, xmax > width) << labelfile <<
+      " bounding box exceeds image boundary.";
+    LOG_IF(WARNING, ymax > height) << labelfile <<
+      " bounding box exceeds image boundary.";
+    LOG_IF(WARNING, xmin < 0) << labelfile <<
+      " bounding box exceeds image boundary.";
+    LOG_IF(WARNING, ymin < 0) << labelfile <<
+      " bounding box exceeds image boundary.";
+    LOG_IF(WARNING, xmax < 0) << labelfile <<
+      " bounding box exceeds image boundary.";
+    LOG_IF(WARNING, ymax < 0) << labelfile <<
+      " bounding box exceeds image boundary.";
+    LOG_IF(WARNING, xmin > xmax) << labelfile <<
+      " bounding box irregular.";
+    LOG_IF(WARNING, ymin > ymax) << labelfile <<
+      " bounding box irregular.";
+    // Store the normalized bounding box.
+    NormalizedBBox* bbox = anno->mutable_bbox();
+    bbox->set_xmin(xmin / width);
+    bbox->set_ymin(ymin / height);
+    bbox->set_xmax(xmax / width);
+    bbox->set_ymax(ymax / height);
+    bbox->set_difficult(false);
+  }
+  return true;
+}
+
+bool ReadLabelFileToLabelMap(const string& filename, bool include_background,
+    const string& delimiter, LabelMap* map) {
+  // cleanup
+  map->Clear();
+
+  std::ifstream file(filename.c_str());
+  string line;
+  // Every line can have [1, 3] number of fields.
+  // The delimiter between fields can be one of " :;".
+  // The order of the fields are:
+  //  name [label] [display_name]
+  //  ...
+  int field_size = -1;
+  int label = 0;
+  LabelMapItem* map_item;
+  // Add background (none_of_the_above) class.
+  if (include_background) {
+    map_item = map->add_item();
+    map_item->set_name("none_of_the_above");
+    map_item->set_label(label++);
+    map_item->set_display_name("background");
+  }
+  while (std::getline(file, line)) {
+    vector<string> fields;
+    fields.clear();
+    boost::split(fields, line, boost::is_any_of(delimiter));
+    if (field_size == -1) {
+      field_size = fields.size();
+    } else {
+      CHECK_EQ(field_size, fields.size())
+          << "Inconsistent number of fields per line.";
+    }
+    map_item = map->add_item();
+    map_item->set_name(fields[0]);
+    switch (field_size) {
+      case 1:
+        map_item->set_label(label++);
+        map_item->set_display_name(fields[0]);
+        break;
+      case 2:
+        label = std::atoi(fields[1].c_str());
+        map_item->set_label(label);
+        map_item->set_display_name(fields[0]);
+        break;
+      case 3:
+        label = std::atoi(fields[1].c_str());
+        map_item->set_label(label);
+        map_item->set_display_name(fields[2]);
+        break;
+      default:
+        LOG(FATAL) << "The number of fields should be [1, 3].";
+        break;
+    }
+  }
+  return true;
+}
+
+bool MapNameToLabel(const LabelMap& map, const bool strict_check,
+    std::map<string, int>* name_to_label) {
+  // cleanup
+  name_to_label->clear();
+
+  for (int i = 0; i < map.item_size(); ++i) {
+    const string& name = map.item(i).name();
+    const int label = map.item(i).label();
+    if (strict_check) {
+      if (!name_to_label->insert(std::make_pair(name, label)).second) {
+        LOG(FATAL) << "There are many duplicates of name: " << name;
+        return false;
+      }
+    } else {
+      (*name_to_label)[name] = label;
+    }
+  }
+  return true;
+}
+
+bool MapLabelToName(const LabelMap& map, const bool strict_check,
+    std::map<int, string>* label_to_name) {
+  // cleanup
+  label_to_name->clear();
+
+  for (int i = 0; i < map.item_size(); ++i) {
+    const string& name = map.item(i).name();
+    const int label = map.item(i).label();
+    if (strict_check) {
+      if (!label_to_name->insert(std::make_pair(label, name)).second) {
+        LOG(FATAL) << "There are many duplicates of label: " << label;
+        return false;
+      }
+    } else {
+      (*label_to_name)[label] = name;
+    }
+  }
+  return true;
+}
+
+bool MapLabelToDisplayName(const LabelMap& map, const bool strict_check,
+    std::map<int, string>* label_to_display_name) {
+  // cleanup
+  label_to_display_name->clear();
+
+  for (int i = 0; i < map.item_size(); ++i) {
+    const string& display_name = map.item(i).display_name();
+    const int label = map.item(i).label();
+    if (strict_check) {
+      if (!label_to_display_name->insert(
+              std::make_pair(label, display_name)).second) {
+        LOG(FATAL) << "There are many duplicates of label: " << label;
+        return false;
+      }
+    } else {
+      (*label_to_display_name)[label] = display_name;
+    }
+  }
+  return true;
+}
 cv::Mat DecodeDatumToCVMatNative(const Datum& datum) {
   cv::Mat cv_img;
   DecodeDatumToCVMat(datum, 0, cv_img, false);
@@ -301,6 +840,18 @@ bool DecodeDatum(Datum* datum, bool is_color) {
   }
 }
 
+void EncodeCVMatToDatum(const cv::Mat& cv_img, const string& encoding,
+                        Datum* datum) {
+  std::vector<uchar> buf;
+  cv::imencode("."+encoding, cv_img, buf);
+  datum->set_data(std::string(reinterpret_cast<char*>(&buf[0]),
+                              buf.size()));
+  datum->set_channels(cv_img.channels());
+  datum->set_height(cv_img.rows);
+  datum->set_width(cv_img.cols);
+  datum->set_encoded(true);
+}
+
 vector<int> DatumToCVMat(const Datum& datum, cv::Mat& img, bool shape_only) {
   if (datum.encoded()) {
     LOG(FATAL) << "Datum encoded";
diff --git a/src/caffe/util/math_functions.cu b/src/caffe/util/math_functions.cu
index f46450e59b4..ea1e97fd348 100644
--- a/src/caffe/util/math_functions.cu
+++ b/src/caffe/util/math_functions.cu
@@ -346,28 +346,26 @@ void gpu_dot_kernel(const int N, const Dtype* x, const Dtype* y, Mtype* out) {
 template<>
 void
 caffe_gpu_dot<float16, float16>(const int n, const float16* x, const float16* y, float16* out) {
-  float fres;
-  GPUMemory::Workspace ws(sizeof(float), Caffe::current_device());
-  float* res = reinterpret_cast<float*>(ws.data());
+  GPUMemory::PinnedBuffer ws(sizeof(float));
+  float* res = reinterpret_cast<float*>(ws.get());
   cudaStream_t stream = Caffe::thread_stream();
   // NOLINT_NEXT_LINE(whitespace/operators)
   gpu_dot_kernel<<<1, CAFFE_CUDA_NUM_THREADS, 0, stream>>>(n, x, y, res);
   CUDA_POST_KERNEL_CHECK;
-  CUDA_CHECK(cudaMemcpyAsync(&fres, res, ws.size(), cudaMemcpyDeviceToHost, stream));
   CUDA_CHECK(cudaStreamSynchronize(stream));
-  *out = static_cast<float16>(fres);
+  *out = static_cast<float16>(*res);
 }
 
 template<>
 void caffe_gpu_dot<float16, float>(const int n, const float16* x, const float16* y, float* out) {
-  GPUMemory::Workspace ws(sizeof(float), Caffe::current_device());
-  float* res = reinterpret_cast<float*>(ws.data());
+  GPUMemory::PinnedBuffer ws(sizeof(float));
+  float* res = reinterpret_cast<float*>(ws.get());
   cudaStream_t stream = Caffe::thread_stream();
   // NOLINT_NEXT_LINE(whitespace/operators)
   gpu_dot_kernel<<<1, CAFFE_CUDA_NUM_THREADS, 0, stream>>>(n, x, y, res);
   CUDA_POST_KERNEL_CHECK;
-  CUDA_CHECK(cudaMemcpyAsync(out, res, ws.size(), cudaMemcpyDeviceToHost, stream));
   CUDA_CHECK(cudaStreamSynchronize(stream));
+  *out = *res;
 }
 
 template<>
diff --git a/src/caffe/util/math_functions2.cu b/src/caffe/util/math_functions2.cu
index 2140302efaf..d4a84f45c59 100644
--- a/src/caffe/util/math_functions2.cu
+++ b/src/caffe/util/math_functions2.cu
@@ -357,11 +357,13 @@ void caffe_gpu_convert<float16, float16>(const unsigned int n,
 
 void caffe_gpu_rng_uniform(const int n, unsigned int* r) {
   CURAND_CHECK(curandGenerate(Caffe::curand_generator(), r, n));
+  CUDA_CHECK(cudaStreamSynchronize(Caffe::curand_stream()));
 }
 template<>
 void caffe_gpu_rng_uniform<float>(const int n, const float a, const float b,
     float* r) {
   CURAND_CHECK(curandGenerateUniform(Caffe::curand_generator(), r, n));
+  CUDA_CHECK(cudaStreamSynchronize(Caffe::curand_stream()));
   const float range = b - a;
   if (range != static_cast<float>(1)) {
     caffe_gpu_scal(n, range, r);
@@ -375,6 +377,7 @@ template<>
 void caffe_gpu_rng_uniform<double>(const int n, const double a, const double b,
     double* r) {
   CURAND_CHECK(curandGenerateUniformDouble(Caffe::curand_generator(), r, n));
+  CUDA_CHECK(cudaStreamSynchronize(Caffe::curand_stream()));
   const double range = b - a;
   if (range != static_cast<double>(1)) {
     caffe_gpu_scal(n, range, r);
@@ -390,6 +393,7 @@ void caffe_gpu_rng_uniform<float16>(const int n, const float16 a,
   GPUMemory::Workspace rf(n * sizeof(float), Caffe::current_device());
   float* rfp = static_cast<float*>(rf.data());
   CURAND_CHECK(curandGenerateUniform(Caffe::curand_generator(), rfp, n));
+  CUDA_CHECK(cudaStreamSynchronize(Caffe::curand_stream()));
   const float range = b - a;
   if (range != 1.F) {
     caffe_gpu_scal(n, range, rfp);
@@ -403,11 +407,13 @@ void caffe_gpu_rng_uniform<float16>(const int n, const float16 a,
 template<>
 void caffe_gpu_rng_gaussian(const int n, const float mu, const float sigma, float* r) {
   CURAND_CHECK(curandGenerateNormal(Caffe::curand_generator(), r, n, mu, sigma));
+  CUDA_CHECK(cudaStreamSynchronize(Caffe::curand_stream()));
 }
 
 template<>
 void caffe_gpu_rng_gaussian(const int n, const double mu, const double sigma, double* r) {
   CURAND_CHECK(curandGenerateNormalDouble(Caffe::curand_generator(), r, n, mu, sigma));
+  CUDA_CHECK(cudaStreamSynchronize(Caffe::curand_stream()));
 }
 
 template<>
@@ -415,6 +421,7 @@ void caffe_gpu_rng_gaussian(const int n, const float16 mu, const float16 sigma,
   GPUMemory::Workspace rf(n * sizeof(float), Caffe::current_device());
   float* rfp = static_cast<float*>(rf.data());
   CURAND_CHECK(curandGenerateNormal(Caffe::curand_generator(), rfp, n, mu, sigma));
+  CUDA_CHECK(cudaStreamSynchronize(Caffe::curand_stream()));
   caffe_gpu_convert(n, rfp, r);
 }
 
diff --git a/src/caffe/util/sampler.cpp b/src/caffe/util/sampler.cpp
new file mode 100644
index 00000000000..f04117d37ac
--- /dev/null
+++ b/src/caffe/util/sampler.cpp
@@ -0,0 +1,167 @@
+#include <algorithm>
+#include <vector>
+
+#include "caffe/util/bbox_util.hpp"
+#include "caffe/util/sampler.hpp"
+
+namespace caffe {
+
+void GroupObjectBBoxes(const AnnotatedDatum& anno_datum,
+                       vector<NormalizedBBox>* object_bboxes) {
+  object_bboxes->clear();
+  for (int i = 0; i < anno_datum.annotation_group_size(); ++i) {
+    const AnnotationGroup& anno_group = anno_datum.annotation_group(i);
+    for (int j = 0; j < anno_group.annotation_size(); ++j) {
+      const Annotation& anno = anno_group.annotation(j);
+      object_bboxes->push_back(anno.bbox());
+    }
+  }
+}
+
+bool SatisfySampleConstraint(const NormalizedBBox& sampled_bbox,
+                             const vector<NormalizedBBox>& object_bboxes,
+                             const SampleConstraint& sample_constraint) {
+  bool has_jaccard_overlap = sample_constraint.has_min_jaccard_overlap() ||
+      sample_constraint.has_max_jaccard_overlap();
+  bool has_sample_coverage = sample_constraint.has_min_sample_coverage() ||
+      sample_constraint.has_max_sample_coverage();
+  bool has_object_coverage = sample_constraint.has_min_object_coverage() ||
+      sample_constraint.has_max_object_coverage();
+  bool satisfy = !has_jaccard_overlap && !has_sample_coverage &&
+      !has_object_coverage;
+  if (satisfy) {
+    // By default, the sampled_bbox is "positive" if no constraints are defined.
+    return true;
+  }
+  // Check constraints.
+  bool found = false;
+  for (int i = 0; i < object_bboxes.size(); ++i) {
+    const NormalizedBBox& object_bbox = object_bboxes[i];
+    // Test jaccard overlap.
+    if (has_jaccard_overlap) {
+      const float jaccard_overlap = JaccardOverlap(sampled_bbox, object_bbox);
+      if (sample_constraint.has_min_jaccard_overlap() &&
+          jaccard_overlap < sample_constraint.min_jaccard_overlap()) {
+        continue;
+      }
+      if (sample_constraint.has_max_jaccard_overlap() &&
+          jaccard_overlap > sample_constraint.max_jaccard_overlap()) {
+        continue;
+      }
+      found = true;
+    }
+    // Test sample coverage.
+    if (has_sample_coverage) {
+      const float sample_coverage = BBoxCoverage(sampled_bbox, object_bbox);
+      if (sample_constraint.has_min_sample_coverage() &&
+          sample_coverage < sample_constraint.min_sample_coverage()) {
+        continue;
+      }
+      if (sample_constraint.has_max_sample_coverage() &&
+          sample_coverage > sample_constraint.max_sample_coverage()) {
+        continue;
+      }
+      found = true;
+    }
+    // Test object coverage.
+    if (has_object_coverage) {
+      const float object_coverage = BBoxCoverage(object_bbox, sampled_bbox);
+      if (sample_constraint.has_min_object_coverage() &&
+          object_coverage < sample_constraint.min_object_coverage()) {
+        continue;
+      }
+      if (sample_constraint.has_max_object_coverage() &&
+          object_coverage > sample_constraint.max_object_coverage()) {
+        continue;
+      }
+      found = true;
+    }
+    if (found) {
+      return true;
+    }
+  }
+  return found;
+}
+
+void SampleBBox(const Sampler& sampler, NormalizedBBox* sampled_bbox) {
+  // Get random scale.
+  CHECK_GE(sampler.max_scale(), sampler.min_scale());
+  CHECK_GT(sampler.min_scale(), 0.f);
+  CHECK_LE(sampler.max_scale(), 1.f);
+  float scale;
+  caffe_rng_uniform(1, sampler.min_scale(), sampler.max_scale(), &scale);
+
+  // Get random aspect ratio.
+  CHECK_GE(sampler.max_aspect_ratio(), sampler.min_aspect_ratio());
+  CHECK_GT(sampler.min_aspect_ratio(), 0.f);
+  CHECK_LT(sampler.max_aspect_ratio(), FLT_MAX);
+  float aspect_ratio;
+  caffe_rng_uniform(1, sampler.min_aspect_ratio(), sampler.max_aspect_ratio(),
+      &aspect_ratio);
+
+  aspect_ratio = std::max<float>(aspect_ratio, std::pow(scale, 2.f));
+  aspect_ratio = std::min<float>(aspect_ratio, 1.f / std::pow(scale, 2.f));
+
+  // Figure out bbox dimension.
+  float bbox_width = scale * sqrt(aspect_ratio);
+  float bbox_height = scale / sqrt(aspect_ratio);
+
+  // Figure out top left coordinates.
+  float w_off = 0.f, h_off = 0.f;
+  if (bbox_width < 1.f) {
+    caffe_rng_uniform(1, 0.f, 1.f - bbox_width, &w_off);
+  }
+  if (bbox_height < 1.f) {
+    caffe_rng_uniform(1, 0.f, 1.f - bbox_height, &h_off);
+  }
+
+  sampled_bbox->set_xmin(w_off);
+  sampled_bbox->set_ymin(h_off);
+  sampled_bbox->set_xmax(w_off + bbox_width);
+  sampled_bbox->set_ymax(h_off + bbox_height);
+}
+
+void GenerateSamples(const NormalizedBBox& source_bbox,
+                     const vector<NormalizedBBox>& object_bboxes,
+                     const BatchSampler& batch_sampler,
+                     vector<NormalizedBBox>* sampled_bboxes) {
+  int found = 0;
+  for (int i = 0; i < batch_sampler.max_trials(); ++i) {
+    if (batch_sampler.has_max_sample() &&
+        found >= batch_sampler.max_sample()) {
+      break;
+    }
+    // Generate sampled_bbox in the normalized space [0, 1].
+    NormalizedBBox sampled_bbox;
+    SampleBBox(batch_sampler.sampler(), &sampled_bbox);
+    // Transform the sampled_bbox w.r.t. source_bbox.
+    LocateBBox(source_bbox, sampled_bbox, &sampled_bbox);
+    // Determine if the sampled bbox is positive or negative by the constraint.
+    if (SatisfySampleConstraint(sampled_bbox, object_bboxes,
+                                batch_sampler.sample_constraint())) {
+      ++found;
+      sampled_bboxes->push_back(sampled_bbox);
+    }
+  }
+}
+
+void GenerateBatchSamples(const AnnotatedDatum& anno_datum,
+                          const vector<BatchSampler>& batch_samplers,
+                          vector<NormalizedBBox>* sampled_bboxes) {
+  sampled_bboxes->clear();
+  vector<NormalizedBBox> object_bboxes;
+  GroupObjectBBoxes(anno_datum, &object_bboxes);
+  for (int i = 0; i < batch_samplers.size(); ++i) {
+    if (batch_samplers[i].use_original_image()) {
+      NormalizedBBox unit_bbox;
+      unit_bbox.set_xmin(0);
+      unit_bbox.set_ymin(0);
+      unit_bbox.set_xmax(1);
+      unit_bbox.set_ymax(1);
+      GenerateSamples(unit_bbox, object_bboxes, batch_samplers[i],
+                      sampled_bboxes);
+    }
+  }
+}
+
+}  // namespace caffe
diff --git a/tools/caffe.cpp b/tools/caffe.cpp
index 6c0b5d49a63..93ffe768cc4 100644
--- a/tools/caffe.cpp
+++ b/tools/caffe.cpp
@@ -6,10 +6,12 @@ namespace bp = boost::python;
 #include <gflags/gflags.h>
 #include <glog/logging.h>
 #include <map>
+#include <vector>
 #include <boost/algorithm/string.hpp>
 
 #include "caffe/caffe.hpp"
 #include "caffe/util/signal_handler.h"
+#include "caffe/util/bbox_util.hpp"
 
 
 using caffe::TBlob;
@@ -45,6 +47,10 @@ DEFINE_string(sigint_effect, "stop",
 DEFINE_string(sighup_effect, "snapshot",
              "Optional; action to take when a SIGHUP signal is received: "
              "snapshot, stop or none.");
+DEFINE_string(ap_version, "11point",
+    "Average Precision type for object detection");
+DEFINE_bool(show_per_class_result, true,
+    "Show per class result for object detection");
 
 // A simple registry for caffe commands.
 typedef int (*BrewFunction)();
@@ -313,6 +319,180 @@ int test() {
 }
 RegisterBrewFunction(test);
 
+
+// Test: score a detection model.
+int test_detection() {
+  typedef float Dtype;
+  CHECK_GT(FLAGS_model.size(), 0) << "Need a model definition to score.";
+  CHECK_GT(FLAGS_weights.size(), 0) << "Need model weights to score.";
+
+  // Read flags for list of GPUs
+  vector<int> gpus;
+  get_gpus(&gpus);
+  while (gpus.size() > 1) {
+    // Only use one GPU
+    LOG(INFO) << "Not using GPU #" << gpus.back() << " for single-GPU function";
+    gpus.pop_back();
+  }
+  if (gpus.size() > 0) {
+    Caffe::SetDevice(gpus[0]);
+  }
+  caffe::GPUMemory::Scope gpu_memory_scope(gpus);
+
+  // Set mode and device id
+  if (gpus.size() != 0) {
+    LOG(INFO) << "Use GPU with device ID " << gpus[0];
+    cudaDeviceProp device_prop;
+    cudaGetDeviceProperties(&device_prop, gpus[0]);
+    LOG(INFO) << "GPU device name: " << device_prop.name;
+    Caffe::set_mode(Caffe::GPU);
+  } else {
+    LOG(INFO) << "Use CPU.";
+    Caffe::set_mode(Caffe::CPU);
+  }
+
+  // Instantiate the caffe net.
+  Net caffe_net(FLAGS_model, caffe::TEST, 0U);
+  caffe_net.CopyTrainedLayersFrom(FLAGS_weights);
+  LOG(INFO) << "Running for " << FLAGS_iterations << " iterations.";
+
+  std::map<int, std::map<int, vector<std::pair<float, int> > > > all_true_pos;
+  std::map<int, std::map<int, vector<std::pair<float, int> > > > all_false_pos;
+  std::map<int, std::map<int, int> > all_num_pos;
+
+  vector<int> test_score_output_id;
+  vector<float> test_score;
+  float loss = 0;
+  for (int i = 0; i < FLAGS_iterations; ++i) {
+    float iter_loss;
+    const vector<Blob*>& result =
+        caffe_net.Forward(&iter_loss);
+    loss += iter_loss;
+    int idx = 0;
+    for (int j = 0; j < result.size(); ++j) {
+      const float* result_vec = result[j]->cpu_data<float>();
+      for (int k = 0; k < result[j]->count(); ++k, ++idx) {
+        const float score = result_vec[k];
+        if (i == 0) {
+          test_score.push_back(score);
+          test_score_output_id.push_back(j);
+        } else {
+          test_score[idx] += score;
+        }
+        const std::string& output_name = caffe_net.blob_names()[
+            caffe_net.output_blob_indices()[j]];
+        LOG(INFO) << "Batch " << i << ", " << output_name << " = " << score;
+      }
+    }
+
+    //To compute mAP
+    for (int j = 0; j < result.size(); ++j) {
+      CHECK_EQ(result[j]->width(), 5);
+      const Dtype* result_vec = result[j]->cpu_data<Dtype>();
+      int num_det = result[j]->height();
+      for (int k = 0; k < num_det; ++k) {
+        int item_id = static_cast<int>(result_vec[k * 5]);
+        int label = static_cast<int>(result_vec[k * 5 + 1]);
+        if (item_id == -1) {
+          // Special row of storing number of positives for a label.
+          if (all_num_pos[j].find(label) == all_num_pos[j].end()) {
+            all_num_pos[j][label] = static_cast<int>(result_vec[k * 5 + 2]);
+          } else {
+            all_num_pos[j][label] += static_cast<int>(result_vec[k * 5 + 2]);
+          }
+        } else {
+          // Normal row storing detection status.
+          float score = result_vec[k * 5 + 2];
+          int tp = static_cast<int>(result_vec[k * 5 + 3]);
+          int fp = static_cast<int>(result_vec[k * 5 + 4]);
+          if (tp == 0 && fp == 0) {
+            // Ignore such case. It happens when a detection bbox is matched to
+            // a difficult gt bbox and we don't evaluate on difficult gt bbox.
+            continue;
+          }
+          all_true_pos[j][label].push_back(std::make_pair(score, tp));
+          all_false_pos[j][label].push_back(std::make_pair(score, fp));
+        }
+      }
+    }
+  }
+  loss /= FLAGS_iterations;
+  LOG(INFO) << "Loss: " << loss;
+
+  for (int i = 0; i < test_score.size(); ++i) {
+    int test_score_output_id_value = test_score_output_id[i];
+    const vector<int>& output_blob_indices = caffe_net.output_blob_indices();
+    const vector<string>& blob_names = caffe_net.blob_names();
+    const vector<float>& blob_loss_weights = caffe_net.blob_loss_weights();
+    if (test_score_output_id_value < output_blob_indices.size()) {
+      int blob_index = output_blob_indices[test_score_output_id_value];
+      if (blob_index < blob_names.size() && blob_index < blob_loss_weights.size()) {
+        const std::string& output_name = blob_names[blob_index];
+        const float loss_weight = blob_loss_weights[blob_index];
+        std::ostringstream loss_msg_stream;
+        const float mean_score = test_score[i] / FLAGS_iterations;
+        if (loss_weight) {
+          loss_msg_stream << " (* " << loss_weight
+                          << " = " << (loss_weight * mean_score) << " loss)";
+        }
+        LOG(INFO) << output_name << " = " << mean_score << loss_msg_stream.str();
+      }
+    }
+  }
+
+  //To compute mAP
+  for (int i = 0; i < all_true_pos.size(); ++i) {
+    if (all_true_pos.find(i) == all_true_pos.end()) {
+      LOG(FATAL) << "Missing output_blob true_pos: " << i;
+    }
+    const std::map<int, vector<std::pair<float, int> > >& true_pos =
+        all_true_pos.find(i)->second;
+    if (all_false_pos.find(i) == all_false_pos.end()) {
+      LOG(FATAL) << "Missing output_blob false_pos: " << i;
+    }
+    const std::map<int, vector<std::pair<float, int> > >& false_pos =
+        all_false_pos.find(i)->second;
+    if (all_num_pos.find(i) == all_num_pos.end()) {
+      LOG(FATAL) << "Missing output_blob num_pos: " << i;
+    }
+    const std::map<int, int>& num_pos = all_num_pos.find(i)->second;
+    std::map<int, float> APs;
+    float mAP = 0.;
+    // Sort true_pos and false_pos with descend scores.
+    for (std::map<int, int>::const_iterator it = num_pos.begin();
+         it != num_pos.end(); ++it) {
+      int label = it->first;
+      int label_num_pos = it->second;
+      if (true_pos.find(label) == true_pos.end()) {
+        LOG(WARNING) << "Missing true_pos for label: " << label;
+        continue;
+      }
+      const vector<std::pair<float, int> >& label_true_pos =
+          true_pos.find(label)->second;
+      if (false_pos.find(label) == false_pos.end()) {
+        LOG(WARNING) << "Missing false_pos for label: " << label;
+        continue;
+      }
+      const vector<std::pair<float, int> >& label_false_pos =
+          false_pos.find(label)->second;
+      vector<float> prec, rec;
+      caffe::ComputeAP(label_true_pos, label_num_pos, label_false_pos,
+                FLAGS_ap_version, &prec, &rec, &(APs[label]));
+      mAP += APs[label];
+      if (FLAGS_show_per_class_result) {
+        LOG(INFO) << "class AP " << label << ": " << APs[label];
+      }
+    }
+    mAP /= num_pos.size();
+    const int output_blob_index = caffe_net.output_blob_indices()[i];
+    const string& output_name = caffe_net.blob_names()[output_blob_index];
+    LOG(INFO) << "Test net output mAP #" << i << ": " << output_name << " = " << mAP;
+  }
+  return 0;
+}
+RegisterBrewFunction(test_detection);
+
+
 // Time: benchmark the execution time of a model.
 int time() {
   CHECK_GT(FLAGS_model.size(), 0) << "Need a model definition to time.";
@@ -442,6 +622,12 @@ int main(int argc, char** argv) {
       "  test            score a model\n"
       "  device_query    show GPU diagnostic information\n"
       "  time            benchmark model execution time");
+
+  std::ostringstream os;
+  os << std::endl;
+  for (int n = 0; n < argc; ++n) {
+    os << "[" << n << "]: " << argv[n] << std::endl;
+  }
   // Run tool or show usage.
   caffe::GlobalInit(&argc, &argv);
 
@@ -449,6 +635,7 @@ int main(int argc, char** argv) {
   get_gpus(&gpus);
   if (gpus.size() > 0) {
     Caffe::SetDevice(gpus[0]);
+    Caffe::set_gpus(gpus);
   }
 
   LOG(INFO) << "This is NVCaffe " << Caffe::caffe_version()
@@ -457,6 +644,7 @@ int main(int argc, char** argv) {
   LOG(INFO) << "CuBLAS version: " << Caffe::cublas_version();
   LOG(INFO) << "CUDA version: " << Caffe::cuda_version();
   LOG(INFO) << "CUDA driver version: " << Caffe::cuda_driver_version();
+  LOG(INFO) << "Arguments: " << os.str();
 
   if (argc == 2) {
 #ifdef WITH_PYTHON_LAYER
diff --git a/tools/convert_annoset.cpp b/tools/convert_annoset.cpp
new file mode 100644
index 00000000000..1429dd57b98
--- /dev/null
+++ b/tools/convert_annoset.cpp
@@ -0,0 +1,203 @@
+// This program converts a set of images and annotations to a lmdb/leveldb by
+// storing them as AnnotatedDatum proto buffers.
+// Usage:
+//   convert_annoset [FLAGS] ROOTFOLDER/ LISTFILE DB_NAME
+//
+// where ROOTFOLDER is the root folder that holds all the images and
+// annotations, and LISTFILE should be a list of files as well as their labels
+// or label files.
+// For classification task, the file should be in the format as
+//   imgfolder1/img1.JPEG 7
+//   ....
+// For detection task, the file should be in the format as
+//   imgfolder1/img1.JPEG annofolder1/anno1.xml
+//   ....
+
+#include <algorithm>
+#include <fstream>  // NOLINT(readability/streams)
+#include <map>
+#include <string>
+#include <utility>
+#include <vector>
+
+#include "boost/scoped_ptr.hpp"
+#include "boost/variant.hpp"
+#include "gflags/gflags.h"
+#include "glog/logging.h"
+
+#include "caffe/proto/caffe.pb.h"
+#include "caffe/util/db.hpp"
+#include "caffe/util/format.hpp"
+#include "caffe/util/io.hpp"
+#include "caffe/util/rng.hpp"
+
+using namespace caffe;  // NOLINT(build/namespaces)
+using std::pair;
+using boost::scoped_ptr;
+
+DEFINE_bool(gray, false,
+    "When this option is on, treat images as grayscale ones");
+DEFINE_bool(shuffle, false,
+    "Randomly shuffle the order of images and their labels");
+DEFINE_string(backend, "lmdb",
+    "The backend {lmdb, leveldb} for storing the result");
+DEFINE_string(anno_type, "classification",
+    "The type of annotation {classification, detection}.");
+DEFINE_string(label_type, "xml",
+    "The type of annotation file format.");
+DEFINE_string(label_map_file, "",
+    "A file with LabelMap protobuf message.");
+DEFINE_bool(check_label, false,
+    "When this option is on, check that there is no duplicated name/label.");
+DEFINE_int32(min_dim, 0,
+    "Minimum dimension images are resized to (keep same aspect ratio)");
+DEFINE_int32(max_dim, 0,
+    "Maximum dimension images are resized to (keep same aspect ratio)");
+DEFINE_int32(resize_width, 0, "Width images are resized to");
+DEFINE_int32(resize_height, 0, "Height images are resized to");
+DEFINE_bool(check_size, false,
+    "When this option is on, check that all the datum have the same size");
+DEFINE_bool(encoded, false,
+    "When this option is on, the encoded image will be save in datum");
+DEFINE_string(encode_type, "",
+    "Optional: What type should we encode the image as ('png','jpg',...).");
+
+int main(int argc, char** argv) {
+  ::google::InitGoogleLogging(argv[0]);
+  // Print output to stderr (while still logging)
+  FLAGS_alsologtostderr = 1;
+
+#ifndef GFLAGS_GFLAGS_H_
+  namespace gflags = google;
+#endif
+
+  gflags::SetUsageMessage("Convert a set of images and annotations to the "
+        "leveldb/lmdb format used as input for Caffe.\n"
+        "Usage:\n"
+        "    convert_annoset [FLAGS] ROOTFOLDER/ LISTFILE DB_NAME\n");
+  gflags::ParseCommandLineFlags(&argc, &argv, true);
+
+  if (argc < 4) {
+    gflags::ShowUsageWithFlagsRestrict(argv[0], "tools/convert_annoset");
+    return 1;
+  }
+
+  const bool is_color = !FLAGS_gray;
+  const bool check_size = FLAGS_check_size;
+  const bool encoded = FLAGS_encoded;
+  const string encode_type = FLAGS_encode_type;
+  const string anno_type = FLAGS_anno_type;
+  AnnotatedDatum_AnnotationType type;
+  const string label_type = FLAGS_label_type;
+  const string label_map_file = FLAGS_label_map_file;
+  const bool check_label = FLAGS_check_label;
+  std::map<std::string, int> name_to_label;
+
+  std::ifstream infile(argv[2]);
+  std::vector<std::pair<std::string, boost::variant<int, std::string> > > lines;
+  std::string filename;
+  int label;
+  std::string labelname;
+  if (anno_type == "classification") {
+    while (infile >> filename >> label) {
+      lines.push_back(std::make_pair(filename, label));
+    }
+  } else if (anno_type == "detection") {
+    type = AnnotatedDatum_AnnotationType_BBOX;
+    LabelMap label_map;
+    CHECK(ReadProtoFromTextFile(label_map_file, &label_map))
+        << "Failed to read label map file.";
+    CHECK(MapNameToLabel(label_map, check_label, &name_to_label))
+        << "Failed to convert name to label.";
+    while (infile >> filename >> labelname) {
+      lines.push_back(std::make_pair(filename, labelname));
+    }
+  }
+  if (FLAGS_shuffle) {
+    // randomly shuffle data
+    LOG(INFO) << "Shuffling data";
+    shuffle(lines.begin(), lines.end());
+  }
+  LOG(INFO) << "A total of " << lines.size() << " images.";
+
+  if (encode_type.size() && !encoded)
+    LOG(INFO) << "encode_type specified, assuming encoded=true.";
+
+  int min_dim = std::max<int>(0, FLAGS_min_dim);
+  int max_dim = std::max<int>(0, FLAGS_max_dim);
+  int resize_height = std::max<int>(0, FLAGS_resize_height);
+  int resize_width = std::max<int>(0, FLAGS_resize_width);
+
+  // Create new DB
+  scoped_ptr<db::DB> db(db::GetDB(FLAGS_backend));
+  db->Open(argv[3], db::NEW);
+  scoped_ptr<db::Transaction> txn(db->NewTransaction());
+
+  // Storing to db
+  std::string root_folder(argv[1]);
+  AnnotatedDatum anno_datum;
+  Datum* datum = anno_datum.mutable_datum();
+  int count = 0;
+  int data_size = 0;
+  bool data_size_initialized = false;
+
+  for (int line_id = 0; line_id < lines.size(); ++line_id) {
+    bool status = true;
+    std::string enc = encode_type;
+    if (encoded && !enc.size()) {
+      // Guess the encoding type from the file name
+      string fn = lines[line_id].first;
+      size_t p = fn.rfind('.');
+      if ( p == fn.npos )
+        LOG(WARNING) << "Failed to guess the encoding of '" << fn << "'";
+      enc = fn.substr(p);
+      std::transform(enc.begin(), enc.end(), enc.begin(), ::tolower);
+    }
+    filename = root_folder + lines[line_id].first;
+    if (anno_type == "classification") {
+      label = boost::get<int>(lines[line_id].second);
+      status = ReadImageToDatum(filename, label, resize_height, resize_width,
+          min_dim, max_dim, is_color, enc, datum);
+    } else if (anno_type == "detection") {
+      labelname = root_folder + boost::get<std::string>(lines[line_id].second);
+      status = ReadRichImageToAnnotatedDatum(filename, labelname, resize_height,
+          resize_width, min_dim, max_dim, is_color, enc, type, label_type,
+          name_to_label, &anno_datum);
+      anno_datum.set_type(AnnotatedDatum_AnnotationType_BBOX);
+    }
+    if (status == false) {
+      LOG(WARNING) << "Failed to read " << lines[line_id].first;
+      continue;
+    }
+    if (check_size) {
+      if (!data_size_initialized) {
+        data_size = datum->channels() * datum->height() * datum->width();
+        data_size_initialized = true;
+      } else {
+        const std::string& data = datum->data();
+        CHECK_EQ(data.size(), data_size) << "Incorrect data field size "
+            << data.size();
+      }
+    }
+    // sequential
+    string key_str = caffe::format_int(line_id, 8) + "_" + lines[line_id].first;
+
+    // Put in db
+    string out;
+    CHECK(anno_datum.SerializeToString(&out));
+    txn->Put(key_str, out);
+
+    if (++count % 1000 == 0) {
+      // Commit db
+      txn->Commit();
+      txn.reset(db->NewTransaction());
+      LOG(INFO) << "Processed " << count << " files.";
+    }
+  }
+  // write the last batch
+  if (count % 1000 != 0) {
+    txn->Commit();
+    LOG(INFO) << "Processed " << count << " files.";
+  }
+  return 0;
+}
diff --git a/tools/create_label_map.cpp b/tools/create_label_map.cpp
new file mode 100644
index 00000000000..4e16e6f6aa8
--- /dev/null
+++ b/tools/create_label_map.cpp
@@ -0,0 +1,65 @@
+// This program reads in pairs label names and optionally ids and display names
+// and store them in LabelMap proto buffer.
+// Usage:
+//   create_label_map [FLAGS] MAPFILE OUTFILE
+// where MAPFILE is a list of label names and optionally label ids and
+// displaynames, and OUTFILE stores the information in LabelMap proto.
+// Example:
+//   ./build/tools/create_label_map --delimiter=" " --include_background=true
+//   data/VOC2007/map.txt data/VOC2007/labelmap_voc.prototxt
+// The format of MAPFILE is like following:
+//   class1 [1] [someclass1]
+//   ...
+// The format of OUTFILE is like following:
+//   item {
+//     name: "class1"
+//     label: 1
+//     display_name: "someclass1"
+//   }
+//   ...
+
+#include <fstream>  // NOLINT(readability/streams)
+#include <string>
+
+#include "gflags/gflags.h"
+#include "glog/logging.h"
+
+#include "caffe/proto/caffe.pb.h"
+#include "caffe/util/io.hpp"
+
+using namespace caffe;  // NOLINT(build/namespaces)
+
+DEFINE_bool(include_background, false,
+    "When this option is on, include none_of_the_above as class 0.");
+DEFINE_string(delimiter, " ",
+    "The delimiter used to separate fields in label_map_file.");
+
+int main(int argc, char** argv) {
+  ::google::InitGoogleLogging(argv[0]);
+  // Print output to stderr (while still logging)
+  FLAGS_alsologtostderr = 1;
+
+#ifndef GFLAGS_GFLAGS_H_
+  namespace gflags = google;
+#endif
+
+  gflags::SetUsageMessage("Read in pairs label names and optionally ids and "
+        "display names and store them in LabelMap proto buffer.\n"
+        "Usage:\n"
+        "    create_label_map [FLAGS] MAPFILE OUTFILE\n");
+  gflags::ParseCommandLineFlags(&argc, &argv, true);
+
+  if (argc < 3) {
+    gflags::ShowUsageWithFlagsRestrict(argv[0], "tools/create_label_map");
+    return 1;
+  }
+
+  const bool include_background = FLAGS_include_background;
+  const string delimiter = FLAGS_delimiter;
+
+  const string& map_file = argv[1];
+  LabelMap label_map;
+  ReadLabelFileToLabelMap(map_file, include_background, delimiter, &label_map);
+
+  WriteProtoToTextFile(label_map, argv[2]);
+}
diff --git a/tools/get_image_size.cpp b/tools/get_image_size.cpp
new file mode 100644
index 00000000000..555d3e38a88
--- /dev/null
+++ b/tools/get_image_size.cpp
@@ -0,0 +1,109 @@
+// This program retrieves the sizes of a set of images.
+// Usage:
+//   get_image_size [FLAGS] ROOTFOLDER/ LISTFILE OUTFILE
+//
+// where ROOTFOLDER is the root folder that holds all the images and
+// annotations, and LISTFILE should be a list of files as well as their labels
+// or label files.
+// For classification task, the file should be in the format as
+//   imgfolder1/img1.JPEG 7
+//   ....
+// For detection task, the file should be in the format as
+//   imgfolder1/img1.JPEG annofolder1/anno1.xml
+//   ....
+
+#include <fstream>  // NOLINT(readability/streams)
+#include <map>
+#include <string>
+#include <utility>
+#include <vector>
+
+#include "gflags/gflags.h"
+#include "glog/logging.h"
+
+#include "caffe/util/io.hpp"
+
+using namespace caffe;  // NOLINT(build/namespaces)
+
+DEFINE_string(name_id_file, "",
+              "A file which maps image_name to image_id.");
+
+int main(int argc, char** argv) {
+  ::google::InitGoogleLogging(argv[0]);
+  // Print output to stderr (while still logging)
+  FLAGS_alsologtostderr = 1;
+
+#ifndef GFLAGS_GFLAGS_H_
+  namespace gflags = google;
+#endif
+
+  gflags::SetUsageMessage("Get sizes of a set of images.\n"
+        "Usage:\n"
+        "    get_image_size ROOTFOLDER/ LISTFILE OUTFILE\n");
+  gflags::ParseCommandLineFlags(&argc, &argv, true);
+
+  if (argc < 4) {
+    gflags::ShowUsageWithFlagsRestrict(argv[0], "tools/get_image_size");
+    return 1;
+  }
+
+  std::ifstream infile(argv[2]);
+  if (!infile.good()) {
+    LOG(FATAL) << "Failed to open file: " << argv[2];
+  }
+  std::vector<std::pair<std::string, std::string> > lines;
+  std::string filename, label;
+  while (infile >> filename >> label) {
+    lines.push_back(std::make_pair(filename, label));
+  }
+  infile.close();
+  LOG(INFO) << "A total of " << lines.size() << " images.";
+
+  const string name_id_file = FLAGS_name_id_file;
+  std::map<string, int> map_name_id;
+  if (!name_id_file.empty()) {
+    std::ifstream nameidfile(name_id_file.c_str());
+    if (!nameidfile.good()) {
+      LOG(FATAL) << "Failed to open name_id_file: " << name_id_file;
+    }
+    std::string name;
+    int id;
+    while (nameidfile >> name >> id) {
+      CHECK(map_name_id.find(name) == map_name_id.end());
+      map_name_id[name] = id;
+    }
+    CHECK_EQ(map_name_id.size(), lines.size());
+  }
+
+  // Storing to outfile
+  boost::filesystem::path root_folder(argv[1]);
+  std::ofstream outfile(argv[3]);
+  if (!outfile.good()) {
+    LOG(FATAL) << "Failed to open file: " << argv[3];
+  }
+  int height, width;
+  int count = 0;
+  for (int line_id = 0; line_id < lines.size(); ++line_id) {
+    boost::filesystem::path img_file = root_folder / lines[line_id].first;
+    GetImageSize(img_file.string(), &height, &width);
+    std::string img_name = img_file.stem().string();
+    if (map_name_id.size() == 0) {
+      outfile << img_name << " " << height << " " << width << std::endl;
+    } else {
+      CHECK(map_name_id.find(img_name) != map_name_id.end());
+      int img_id = map_name_id.find(img_name)->second;
+      outfile << img_id << " " << height << " " << width << std::endl;
+    }
+
+    if (++count % 1000 == 0) {
+      LOG(INFO) << "Processed " << count << " files.";
+    }
+  }
+  // write the last batch
+  if (count % 1000 != 0) {
+    LOG(INFO) << "Processed " << count << " files.";
+  }
+  outfile.flush();
+  outfile.close();
+  return 0;
+}

From c40ff80cf0bd0ada843e9be175209fc973537ed4 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Sat, 24 Feb 2018 23:40:28 -0800
Subject: [PATCH 05/42] NVML fix

---
 include/caffe/util/device_alternate.hpp |  3 +--
 src/caffe/common.cpp                    | 30 ++++++++++++-------------
 src/caffe/internal_thread.cpp           |  2 +-
 src/caffe/layers/base_data_layer.cpp    |  2 +-
 src/caffe/layers/cudnn_conv_layer.cpp   |  3 ---
 src/caffe/layers/cudnn_conv_layer.cu    |  6 -----
 src/caffe/solver.cpp                    |  2 +-
 7 files changed, 19 insertions(+), 29 deletions(-)

diff --git a/include/caffe/util/device_alternate.hpp b/include/caffe/util/device_alternate.hpp
index 467721baaba..654d8c31d68 100644
--- a/include/caffe/util/device_alternate.hpp
+++ b/include/caffe/util/device_alternate.hpp
@@ -98,11 +98,10 @@ namespace nvml {
 struct NVMLInit {
   NVMLInit();
   ~NVMLInit();
-  nvmlDevice_t device_;
   static std::mutex m_;
 };
 
-void setCpuAffinity();
+void setCpuAffinity(int device);
 
 }
 #endif  // NO_NVML
diff --git a/src/caffe/common.cpp b/src/caffe/common.cpp
index 01b83653c35..537e7b224b6 100644
--- a/src/caffe/common.cpp
+++ b/src/caffe/common.cpp
@@ -525,22 +525,9 @@ std::mutex NVMLInit::m_;
 NVMLInit::NVMLInit() {
   if (nvmlInit() != NVML_SUCCESS) {
     LOG(ERROR) << "NVML failed to initialize";
-    return;
   } else {
     LOG(INFO) << "NVML initialized, thread " << lwp_id();
   }
-  unsigned int deviceCount = 0U;
-  if (nvmlDeviceGetCount(&deviceCount) == NVML_SUCCESS) {
-    for (unsigned int id = 0; id < deviceCount; ++id) {
-      if (nvmlDeviceGetHandleByIndex(id, &device_) != NVML_SUCCESS ||
-          nvmlDeviceSetCpuAffinity(device_) != NVML_SUCCESS) {
-          LOG(ERROR) << "NVML failed to set CPU affinity on device " << id
-              << ", thread " << lwp_id();
-      }
-    }
-  } else {
-    LOG(ERROR) << "nvmlDeviceGetCount failed, thread " << lwp_id();
-  }
 }
 
 NVMLInit::~NVMLInit() {
@@ -548,9 +535,22 @@ NVMLInit::~NVMLInit() {
 }
 
 // set the CPU affinity for this thread
-void setCpuAffinity() {
+void setCpuAffinity(int device) {
   std::lock_guard<std::mutex> lock(NVMLInit::m_);
-  static thread_local NVMLInit nvml_init_;
+  static NVMLInit nvml_init_;
+
+  char pciBusId[16];
+  CUDA_CHECK(cudaDeviceGetPCIBusId(pciBusId, 16, device));
+  nvmlDevice_t nvml_device;
+
+  if (nvmlDeviceGetHandleByPciBusId(pciBusId, &nvml_device) != NVML_SUCCESS ||
+      nvmlDeviceSetCpuAffinity(nvml_device) != NVML_SUCCESS) {
+    LOG(ERROR) << "NVML failed to set CPU affinity on device " << device
+               << ", thread " << lwp_id();
+  } else {
+    LOG(INFO) << "NVML succeeded to set CPU affinity on device " << device
+               << ", thread " << lwp_id();
+  }
 }
 
 }  // namespace nvml
diff --git a/src/caffe/internal_thread.cpp b/src/caffe/internal_thread.cpp
index 64f133e2cb7..8fd09a49946 100644
--- a/src/caffe/internal_thread.cpp
+++ b/src/caffe/internal_thread.cpp
@@ -79,7 +79,7 @@ void InternalThread::entry(int thread_id, int device, Caffe::Brew mode, uint64_t
             << " on device " << device << ", rank " << rank_;
   if (mode == Caffe::GPU && set_cpu_affinity) {
 #ifndef NO_NVML
-    nvml::setCpuAffinity();
+    nvml::setCpuAffinity(device);
 #endif
   }
   if (threads_.size() == 1) {
diff --git a/src/caffe/layers/base_data_layer.cpp b/src/caffe/layers/base_data_layer.cpp
index 8d2ad5ec722..21d88860f80 100644
--- a/src/caffe/layers/base_data_layer.cpp
+++ b/src/caffe/layers/base_data_layer.cpp
@@ -96,7 +96,7 @@ void BasePrefetchingDataLayer<Ftype, Btype>::LayerSetUp(const vector<Blob*>& bot
   const uint64_t random_seed = (psolver == nullptr ||
       static_cast<uint64_t>(psolver->param().random_seed()) == Caffe::SEED_NOT_SET) ?
           Caffe::next_seed() : static_cast<uint64_t>(psolver->param().random_seed());
-  StartInternalThread(true, random_seed);
+  StartInternalThread(false, random_seed);
 }
 
 template<typename Ftype, typename Btype>
diff --git a/src/caffe/layers/cudnn_conv_layer.cpp b/src/caffe/layers/cudnn_conv_layer.cpp
index 8e113aa99e6..ed3ceeabfb4 100644
--- a/src/caffe/layers/cudnn_conv_layer.cpp
+++ b/src/caffe/layers/cudnn_conv_layer.cpp
@@ -443,9 +443,6 @@ void CuDNNConvolutionLayer<Ftype, Btype>::Reshape(
             // Also used by Test Net but based on shared space taken by Train:
             FindExConvAlgo(bottom, top);
           }
-//          else {
-//            AllocateWorkspace(bottom.size());
-//          }
           use_algo_seeker_ = false;
         }
         break;
diff --git a/src/caffe/layers/cudnn_conv_layer.cu b/src/caffe/layers/cudnn_conv_layer.cu
index 3da17628437..5a898662692 100644
--- a/src/caffe/layers/cudnn_conv_layer.cu
+++ b/src/caffe/layers/cudnn_conv_layer.cu
@@ -12,9 +12,6 @@ template<typename Ftype, typename Btype>
 void CuDNNConvolutionLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
     const vector<Blob*>& top) {
   const Ftype* weight = this->blobs_[0]->template gpu_data<Ftype>();
-//  if (fwd_count_ < 4) {
-//    AllocateWorkspace(bottom.size());
-//  }
   shared_ptr<GPUMemory::Workspace>& ws = GPUMemory::workspace_[Caffe::current_device()];
   if (use_v7grouping()) {
     for (int i = 0; i < bottom.size(); ++i) {
@@ -83,9 +80,6 @@ template <typename Ftype, typename Btype>
 void CuDNNConvolutionLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
     const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
   propagate_down_ = propagate_down;
-//  if (bwd_count_ < 4) {
-//    AllocateWorkspace(bottom.size());
-//  }
   shared_ptr<GPUMemory::Workspace>& ws = GPUMemory::workspace_[Caffe::current_device()];
   if (use_v7grouping()) {
     // compute dE/dB = sum_c(dE/dy)
diff --git a/src/caffe/solver.cpp b/src/caffe/solver.cpp
index 04326dc4590..fad051fd954 100644
--- a/src/caffe/solver.cpp
+++ b/src/caffe/solver.cpp
@@ -418,7 +418,7 @@ void Solver::Reduce(Callback* callback, int device, Caffe::Brew mode, uint64_t r
   if (mode == Caffe::GPU) {
     CUDA_CHECK(cudaSetDevice(device));
 #ifndef NO_NVML
-    nvml::setCpuAffinity();
+    nvml::setCpuAffinity(device);
 #endif
   }
   Caffe::set_mode(mode);

From 53331eec5a72dbde312560338002a10da6506c64 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Sun, 25 Feb 2018 03:20:17 -0800
Subject: [PATCH 06/42] BT fix

---
 src/caffe/batch_transformer.cpp | 2 +-
 src/caffe/common.cpp            | 1 +
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/src/caffe/batch_transformer.cpp b/src/caffe/batch_transformer.cpp
index bb3b15a384f..4cb33aca7fd 100644
--- a/src/caffe/batch_transformer.cpp
+++ b/src/caffe/batch_transformer.cpp
@@ -97,7 +97,7 @@ void BatchTransformer<Ftype, Btype>::reshape(const vector<int>& data_shape,
   if (processed_free_.try_peek(&processed_batch)) {
     processed_batch->data_->Reshape(data_shape);
     processed_batch->label_->Reshape(label_shape);
-    if (Caffe::mode() == Caffe::GPU) {
+    if (preallocate && Caffe::mode() == Caffe::GPU) {
       processed_batch->data_->template mutable_gpu_data_c<Ftype>(false);
       processed_batch->label_->template mutable_gpu_data_c<Ftype>(false);
     }
diff --git a/src/caffe/common.cpp b/src/caffe/common.cpp
index 537e7b224b6..95e53d7737d 100644
--- a/src/caffe/common.cpp
+++ b/src/caffe/common.cpp
@@ -163,6 +163,7 @@ Caffe::~Caffe() {
 }
 
 size_t Caffe::min_avail_device_memory() {
+  std::lock_guard<std::mutex> lock(caffe_mutex_);
   size_t ret = 0UL;
   const std::vector<int>& cur_gpus = gpus();
   int cur_device;

From c11eef3329b943979739926d4a7f5f0f45919005 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Sun, 25 Feb 2018 12:42:31 -0800
Subject: [PATCH 07/42] Default GPU fix

---
 include/caffe/common.hpp | 3 +++
 tools/caffe.cpp          | 6 ++----
 2 files changed, 5 insertions(+), 4 deletions(-)

diff --git a/include/caffe/common.hpp b/include/caffe/common.hpp
index ea576f7193d..93702b8fa74 100644
--- a/include/caffe/common.hpp
+++ b/include/caffe/common.hpp
@@ -437,6 +437,9 @@ class Caffe {
   static void set_gpus(const std::vector<int>& gpus) {
     std::lock_guard<std::mutex> lock(caffe_mutex_);
     gpus_ = gpus;
+    if (gpus_.empty()) {
+      gpus_.push_back(root_device_);
+    }
   }
   static const std::vector<int>& gpus() {
     return gpus_;
diff --git a/tools/caffe.cpp b/tools/caffe.cpp
index 93ffe768cc4..f1cbe3c7205 100644
--- a/tools/caffe.cpp
+++ b/tools/caffe.cpp
@@ -633,10 +633,8 @@ int main(int argc, char** argv) {
 
   vector<int> gpus;
   get_gpus(&gpus);
-  if (gpus.size() > 0) {
-    Caffe::SetDevice(gpus[0]);
-    Caffe::set_gpus(gpus);
-  }
+  Caffe::SetDevice(gpus.size() > 0 ? gpus[0] : 0);
+  Caffe::set_gpus(gpus);
 
   LOG(INFO) << "This is NVCaffe " << Caffe::caffe_version()
             << " started at " << Caffe::start_time();

From f4941902e725674e56cc13393e8d088f48736acb Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Mon, 26 Feb 2018 12:22:00 -0800
Subject: [PATCH 08/42] Deadlock fixed

---
 include/caffe/layer.hpp              |  8 --------
 include/caffe/net.hpp                |  3 ---
 include/caffe/solver.hpp             |  2 +-
 src/caffe/layers/base_data_layer.cpp |  3 ---
 src/caffe/layers/recurrent_layer.cpp |  3 +--
 src/caffe/net.cpp                    |  5 -----
 src/caffe/solver.cpp                 | 10 ++++------
 7 files changed, 6 insertions(+), 28 deletions(-)

diff --git a/include/caffe/layer.hpp b/include/caffe/layer.hpp
index ca71ec08051..552654e33ab 100644
--- a/include/caffe/layer.hpp
+++ b/include/caffe/layer.hpp
@@ -54,7 +54,6 @@ class LayerBase {
         bm_by_user_(false),
         parent_net_(nullptr),
         net_inititialized_flag_(nullptr),
-        net_iteration0_flag_(nullptr),
         is_shared_(false) {
     InitMutex();
   }
@@ -356,10 +355,6 @@ class LayerBase {
     net_inititialized_flag_ = init_flag;
   }
 
-  void set_net_iteration0_flag(Flag* iter0_flag) {
-    net_iteration0_flag_ = iter0_flag;
-  }
-
   /**
    * Some layers need to be initialized after first iteration
    * They should override this function and return a flag
@@ -444,9 +439,6 @@ class LayerBase {
   /** Gets set when Net::Init is over */
   Flag* net_inititialized_flag_;
 
-  /** Gets set when Net::Init is over */
-  Flag* net_iteration0_flag_;
-
  private:
   /** Whether this layer is actually shared by other nets*/
   bool is_shared_;
diff --git a/include/caffe/net.hpp b/include/caffe/net.hpp
index 4722aa8efff..1349c3c0235 100644
--- a/include/caffe/net.hpp
+++ b/include/caffe/net.hpp
@@ -33,14 +33,12 @@ class Net {
   explicit Net(const NetParameter& param,
       size_t solver_rank = 0U,
       Flag* solver_init_flag = nullptr,
-      Flag* solver_iter0_flag = nullptr,
       const Net* root_net = nullptr,
       bool inner_net = false);
   Net(const string& param_file,
       Phase phase,
       size_t solver_rank = 0U,
       Flag* solver_init_flag = nullptr,
-      Flag* solver_iter0_flag = nullptr,
       const Net* root_net = nullptr,
       bool inner_net = false);
   ~Net();
@@ -428,7 +426,6 @@ class Net {
   size_t solver_rank_;
   BlockingQueue<int> reduction_queue_[2];
   Flag* solver_init_flag_;
-  Flag* solver_iter0_flag_;
   vector<Flag*> layer_inititialized_flags_;
   NetParameter net_param_;
 
diff --git a/include/caffe/solver.hpp b/include/caffe/solver.hpp
index 853006c9aa6..30f2395847d 100644
--- a/include/caffe/solver.hpp
+++ b/include/caffe/solver.hpp
@@ -239,7 +239,7 @@ class Solver {
   bool requested_early_exit_;
 
   // some layers like Data have to wait for this one
-  Flag init_flag_, iter0_flag_;
+  Flag init_flag_;
 
   // Timing information
   shared_ptr<Timer> iteration_timer_;
diff --git a/src/caffe/layers/base_data_layer.cpp b/src/caffe/layers/base_data_layer.cpp
index 21d88860f80..050167ea42b 100644
--- a/src/caffe/layers/base_data_layer.cpp
+++ b/src/caffe/layers/base_data_layer.cpp
@@ -130,9 +130,6 @@ void BasePrefetchingDataLayer<Ftype, Btype>::InternalThreadEntryN(size_t thread_
       batch_transformer_->prefetched_push_full(qid, batch);
 
       if (auto_mode) {
-        if (this->net_iteration0_flag_ != nullptr) {
-          this->net_iteration0_flag_->wait();
-        }
         iter0_.set();
         break;
       }
diff --git a/src/caffe/layers/recurrent_layer.cpp b/src/caffe/layers/recurrent_layer.cpp
index 75ac19c0ba0..344d399a9e6 100644
--- a/src/caffe/layers/recurrent_layer.cpp
+++ b/src/caffe/layers/recurrent_layer.cpp
@@ -110,8 +110,7 @@ void RecurrentLayer<Ftype, Btype>::LayerSetUp(const vector<Blob*>& bottom,
 
   const size_t rank = this->parent_rank();
   // Create the unrolled net.
-  unrolled_net_.reset(new Net(net_param, rank,
-                              nullptr, nullptr, nullptr, true));
+  unrolled_net_.reset(new Net(net_param, rank, nullptr, nullptr, true));
   unrolled_net_->set_debug_info(
       this->layer_param_.recurrent_param().debug_info());
 
diff --git a/src/caffe/net.cpp b/src/caffe/net.cpp
index 065a4b27b86..3dad99374b9 100644
--- a/src/caffe/net.cpp
+++ b/src/caffe/net.cpp
@@ -24,14 +24,12 @@ constexpr int Net::END_OF_TRAIN;
 Net::Net(const NetParameter& param,
     size_t solver_rank,
     Flag* solver_init_flag,
-    Flag* solver_iter0_flag,
     const Net* root_net,
     bool inner_net)
     : root_net_(root_net),
       solver_(nullptr),
       solver_rank_(solver_rank),
       solver_init_flag_(solver_init_flag),
-      solver_iter0_flag_(solver_iter0_flag),
       inner_net_(inner_net) {
   Init(param);
 }
@@ -40,14 +38,12 @@ Net::Net(const string& param_file,
     Phase phase,
     size_t solver_rank,
     Flag* solver_init_flag,
-    Flag* solver_iter0_flag,
     const Net* root_net,
     bool inner_net)
     : root_net_(root_net),
       solver_(nullptr),
       solver_rank_(solver_rank),
       solver_init_flag_(solver_init_flag),
-      solver_iter0_flag_(solver_iter0_flag),
       inner_net_(inner_net) {
   NetParameter param;
   ReadNetParamsFromTextFileOrDie(param_file, &param);
@@ -227,7 +223,6 @@ void Net::Init(const NetParameter& in_param) {
     layer->bm_by_user(bm_by_user);
 
     layers_[layer_id]->set_net_initialized_flag(solver_init_flag_);
-    layers_[layer_id]->set_net_iteration0_flag(solver_iter0_flag_);
 
     Flag* layer_inititialized_flag = layers_[layer_id]->layer_inititialized_flag();
     if (layer_inititialized_flag != nullptr) {
diff --git a/src/caffe/solver.cpp b/src/caffe/solver.cpp
index fad051fd954..644e55afbfd 100644
--- a/src/caffe/solver.cpp
+++ b/src/caffe/solver.cpp
@@ -95,9 +95,9 @@ void Solver::InitTrainNet() {
   net_state.MergeFrom(param_.train_state());
   net_param.mutable_state()->CopyFrom(net_state);
   if (Caffe::root_solver()) {
-    net_.reset(new Net(net_param, rank_, &init_flag_, &iter0_flag_));
+    net_.reset(new Net(net_param, rank_, &init_flag_));
   } else {
-    net_.reset(new Net(net_param, rank_, &init_flag_, &iter0_flag_,
+    net_.reset(new Net(net_param, rank_, &init_flag_,
         root_solver_->net_.get()));
   }
 }
@@ -173,9 +173,9 @@ void Solver::InitTestNets() {
     LOG(INFO)
         << "Creating test net (#" << i << ") specified by " << sources[i];
     if (Caffe::root_solver()) {
-      test_nets_[i].reset(new Net(net_params[i], rank_, &init_flag_, &iter0_flag_));
+      test_nets_[i].reset(new Net(net_params[i], rank_, &init_flag_));
     } else {
-      test_nets_[i].reset(new Net(net_params[i], rank_, &init_flag_, &iter0_flag_,
+      test_nets_[i].reset(new Net(net_params[i], rank_, &init_flag_,
           root_solver_->test_nets_[i].get()));
     }
     test_nets_[i]->set_debug_info(param_.debug_info());
@@ -195,7 +195,6 @@ void Solver::Step(int iters) {
   net_->set_solver(this);
 
   if (iters <= 0) {
-    iter0_flag_.set();
     init_flag_.set();
     return;
   }
@@ -304,7 +303,6 @@ void Solver::Step(int iters) {
       loss += net_->ForwardBackward(i + 1 == param_.iter_size());
       if (i == 0) {
         if (first_loop) {
-          iter0_flag_.set();
           net_->wait_layers_init();
         }
       }

From 70135bf5f58e58a9eb4ac992381195743112185c Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Mon, 26 Feb 2018 12:44:56 -0800
Subject: [PATCH 09/42] non-CuDNN path fixed

---
 src/caffe/layers/data_layer.cpp       | 2 +-
 src/caffe/layers/image_data_layer.cpp | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/caffe/layers/data_layer.cpp b/src/caffe/layers/data_layer.cpp
index 53a8005b922..56985a6c73e 100644
--- a/src/caffe/layers/data_layer.cpp
+++ b/src/caffe/layers/data_layer.cpp
@@ -317,7 +317,7 @@ void DataLayer<Ftype, Btype>::load_batch(Batch* batch, int thread_id, size_t que
 #else
       vector<Btype> tmp(top_shape[1] * top_shape[2] * top_shape[3]);
       CHECK_EQ(buf_len, tmp.size());
-      vector<int> shape = this->dt(thread_id)->Transform(datum.get(), tmp.data(), buf_len,
+      vector<int> shape = this->bdt(thread_id)->Transform(datum.get(), tmp.data(), buf_len,
           packing, false);
       if (packing == NHWC) {
         hwc2chw(top_shape[1], top_shape[3], top_shape[2], tmp.data(), dst_cptr + offset);
diff --git a/src/caffe/layers/image_data_layer.cpp b/src/caffe/layers/image_data_layer.cpp
index 9f4d8caf046..878bb075c75 100644
--- a/src/caffe/layers/image_data_layer.cpp
+++ b/src/caffe/layers/image_data_layer.cpp
@@ -209,7 +209,7 @@ void ImageDataLayer<Ftype, Btype>::load_batch(Batch* batch, int thread_id, size_
       this->bdt(thread_id)->Transform(cv_img, prefetch_data + offset, buf_len, false);
 #else
       CHECK_EQ(buf_len, tmp.size());
-      this->dt(thread_id)->Transform(cv_img, prefetch_data + offset, buf_len, false);
+      this->bdt(thread_id)->Transform(cv_img, prefetch_data + offset, buf_len, false);
       hwc2chw(top_shape[1], top_shape[3], top_shape[2], tmp.data(), prefetch_data + offset);
       packing = NCHW;
 #endif

From 50e0180e1085e79dceba71bdc02179daa609e5df Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Mon, 26 Feb 2018 18:48:36 -0800
Subject: [PATCH 10/42] Pinned mem fix

---
 models/VGGNet/coco/SSD_300x300/train.prototxt | 313 ++----------------
 src/caffe/util/math_functions.cu              |  14 +-
 2 files changed, 41 insertions(+), 286 deletions(-)

diff --git a/models/VGGNet/coco/SSD_300x300/train.prototxt b/models/VGGNet/coco/SSD_300x300/train.prototxt
index 289b4c7a9fa..2fd7179ca3b 100644
--- a/models/VGGNet/coco/SSD_300x300/train.prototxt
+++ b/models/VGGNet/coco/SSD_300x300/train.prototxt
@@ -141,14 +141,6 @@ layer {
   type: "Convolution"
   bottom: "data"
   top: "conv1_1"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
   convolution_param {
     num_output: 64
     pad: 1
@@ -173,14 +165,7 @@ layer {
   type: "Convolution"
   bottom: "conv1_1"
   top: "conv1_2"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 64
     pad: 1
@@ -216,14 +201,7 @@ layer {
   type: "Convolution"
   bottom: "pool1"
   top: "conv2_1"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 128
     pad: 1
@@ -248,14 +226,7 @@ layer {
   type: "Convolution"
   bottom: "conv2_1"
   top: "conv2_2"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 128
     pad: 1
@@ -291,14 +262,7 @@ layer {
   type: "Convolution"
   bottom: "pool2"
   top: "conv3_1"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 256
     pad: 1
@@ -323,14 +287,7 @@ layer {
   type: "Convolution"
   bottom: "conv3_1"
   top: "conv3_2"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 256
     pad: 1
@@ -355,14 +312,7 @@ layer {
   type: "Convolution"
   bottom: "conv3_2"
   top: "conv3_3"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 256
     pad: 1
@@ -398,14 +348,7 @@ layer {
   type: "Convolution"
   bottom: "pool3"
   top: "conv4_1"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 512
     pad: 1
@@ -430,14 +373,7 @@ layer {
   type: "Convolution"
   bottom: "conv4_1"
   top: "conv4_2"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 512
     pad: 1
@@ -462,14 +398,7 @@ layer {
   type: "Convolution"
   bottom: "conv4_2"
   top: "conv4_3"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 512
     pad: 1
@@ -505,14 +434,7 @@ layer {
   type: "Convolution"
   bottom: "pool4"
   top: "conv5_1"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 512
     pad: 1
@@ -538,14 +460,7 @@ layer {
   type: "Convolution"
   bottom: "conv5_1"
   top: "conv5_2"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 512
     pad: 1
@@ -571,14 +486,7 @@ layer {
   type: "Convolution"
   bottom: "conv5_2"
   top: "conv5_3"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 512
     pad: 1
@@ -616,14 +524,6 @@ layer {
   type: "Convolution"
   bottom: "pool5"
   top: "fc6"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
   convolution_param {
     num_output: 1024
     pad: 6
@@ -649,14 +549,7 @@ layer {
   type: "Convolution"
   bottom: "fc6"
   top: "fc7"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 1024
     kernel_size: 1
@@ -680,14 +573,7 @@ layer {
   type: "Convolution"
   bottom: "fc7"
   top: "conv6_1"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 256
     pad: 0
@@ -713,14 +599,7 @@ layer {
   type: "Convolution"
   bottom: "conv6_1"
   top: "conv6_2"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 512
     pad: 1
@@ -746,14 +625,7 @@ layer {
   type: "Convolution"
   bottom: "conv6_2"
   top: "conv7_1"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 128
     pad: 0
@@ -779,14 +651,7 @@ layer {
   type: "Convolution"
   bottom: "conv7_1"
   top: "conv7_2"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 256
     pad: 1
@@ -812,14 +677,7 @@ layer {
   type: "Convolution"
   bottom: "conv7_2"
   top: "conv8_1"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 128
     pad: 0
@@ -845,14 +703,7 @@ layer {
   type: "Convolution"
   bottom: "conv8_1"
   top: "conv8_2"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 256
     pad: 0
@@ -878,14 +729,7 @@ layer {
   type: "Convolution"
   bottom: "conv8_2"
   top: "conv9_1"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 128
     pad: 0
@@ -911,14 +755,7 @@ layer {
   type: "Convolution"
   bottom: "conv9_1"
   top: "conv9_2"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 256
     pad: 0
@@ -958,14 +795,7 @@ layer {
   type: "Convolution"
   bottom: "conv4_3_norm"
   top: "conv4_3_norm_mbox_loc"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 16
     pad: 1
@@ -1006,14 +836,7 @@ layer {
   type: "Convolution"
   bottom: "conv4_3_norm"
   top: "conv4_3_norm_mbox_conf"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 324
     pad: 1
@@ -1074,14 +897,7 @@ layer {
   type: "Convolution"
   bottom: "fc7"
   top: "fc7_mbox_loc"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 24
     pad: 1
@@ -1122,14 +938,7 @@ layer {
   type: "Convolution"
   bottom: "fc7"
   top: "fc7_mbox_conf"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 486
     pad: 1
@@ -1191,14 +1000,7 @@ layer {
   type: "Convolution"
   bottom: "conv6_2"
   top: "conv6_2_mbox_loc"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 24
     pad: 1
@@ -1239,14 +1041,7 @@ layer {
   type: "Convolution"
   bottom: "conv6_2"
   top: "conv6_2_mbox_conf"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 486
     pad: 1
@@ -1308,14 +1103,7 @@ layer {
   type: "Convolution"
   bottom: "conv7_2"
   top: "conv7_2_mbox_loc"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 24
     pad: 1
@@ -1356,14 +1144,7 @@ layer {
   type: "Convolution"
   bottom: "conv7_2"
   top: "conv7_2_mbox_conf"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 486
     pad: 1
@@ -1425,14 +1206,7 @@ layer {
   type: "Convolution"
   bottom: "conv8_2"
   top: "conv8_2_mbox_loc"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 16
     pad: 1
@@ -1473,14 +1247,7 @@ layer {
   type: "Convolution"
   bottom: "conv8_2"
   top: "conv8_2_mbox_conf"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 324
     pad: 1
@@ -1541,14 +1308,7 @@ layer {
   type: "Convolution"
   bottom: "conv9_2"
   top: "conv9_2_mbox_loc"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 16
     pad: 1
@@ -1589,14 +1349,7 @@ layer {
   type: "Convolution"
   bottom: "conv9_2"
   top: "conv9_2_mbox_conf"
-  param {
-    lr_mult: 1.0
-    decay_mult: 1.0
-  }
-  param {
-    lr_mult: 2.0
-    decay_mult: 0.0
-  }
+  
   convolution_param {
     num_output: 324
     pad: 1
diff --git a/src/caffe/util/math_functions.cu b/src/caffe/util/math_functions.cu
index ea1e97fd348..f46450e59b4 100644
--- a/src/caffe/util/math_functions.cu
+++ b/src/caffe/util/math_functions.cu
@@ -346,26 +346,28 @@ void gpu_dot_kernel(const int N, const Dtype* x, const Dtype* y, Mtype* out) {
 template<>
 void
 caffe_gpu_dot<float16, float16>(const int n, const float16* x, const float16* y, float16* out) {
-  GPUMemory::PinnedBuffer ws(sizeof(float));
-  float* res = reinterpret_cast<float*>(ws.get());
+  float fres;
+  GPUMemory::Workspace ws(sizeof(float), Caffe::current_device());
+  float* res = reinterpret_cast<float*>(ws.data());
   cudaStream_t stream = Caffe::thread_stream();
   // NOLINT_NEXT_LINE(whitespace/operators)
   gpu_dot_kernel<<<1, CAFFE_CUDA_NUM_THREADS, 0, stream>>>(n, x, y, res);
   CUDA_POST_KERNEL_CHECK;
+  CUDA_CHECK(cudaMemcpyAsync(&fres, res, ws.size(), cudaMemcpyDeviceToHost, stream));
   CUDA_CHECK(cudaStreamSynchronize(stream));
-  *out = static_cast<float16>(*res);
+  *out = static_cast<float16>(fres);
 }
 
 template<>
 void caffe_gpu_dot<float16, float>(const int n, const float16* x, const float16* y, float* out) {
-  GPUMemory::PinnedBuffer ws(sizeof(float));
-  float* res = reinterpret_cast<float*>(ws.get());
+  GPUMemory::Workspace ws(sizeof(float), Caffe::current_device());
+  float* res = reinterpret_cast<float*>(ws.data());
   cudaStream_t stream = Caffe::thread_stream();
   // NOLINT_NEXT_LINE(whitespace/operators)
   gpu_dot_kernel<<<1, CAFFE_CUDA_NUM_THREADS, 0, stream>>>(n, x, y, res);
   CUDA_POST_KERNEL_CHECK;
+  CUDA_CHECK(cudaMemcpyAsync(out, res, ws.size(), cudaMemcpyDeviceToHost, stream));
   CUDA_CHECK(cudaStreamSynchronize(stream));
-  *out = *res;
 }
 
 template<>

From 6b0e6621bad8adfd351892ed3e6f43beb48764a5 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Mon, 26 Feb 2018 19:18:34 -0800
Subject: [PATCH 11/42] write_json fix

---
 include/caffe/layers/detection_output_layer.hpp | 4 ++++
 src/caffe/layers/detection_output_layer.cpp     | 2 ++
 src/caffe/layers/detection_output_layer.cu      | 2 ++
 3 files changed, 8 insertions(+)

diff --git a/include/caffe/layers/detection_output_layer.hpp b/include/caffe/layers/detection_output_layer.hpp
index 795f4264c83..a8c7e413bc1 100644
--- a/include/caffe/layers/detection_output_layer.hpp
+++ b/include/caffe/layers/detection_output_layer.hpp
@@ -3,7 +3,11 @@
 
 #include "caffe/common.hpp"
 
+#if (__GNUC__ >= 5) && (BOOST_VERSION >= 105800)
+#define WRITE_JSON_SUPPORTED
 #include <boost/property_tree/json_parser.hpp>
+#endif
+
 #include <boost/property_tree/ptree.hpp>
 #include <boost/regex.hpp>
 
diff --git a/src/caffe/layers/detection_output_layer.cpp b/src/caffe/layers/detection_output_layer.cpp
index ebdb235bf3a..0e9b619346a 100644
--- a/src/caffe/layers/detection_output_layer.cpp
+++ b/src/caffe/layers/detection_output_layer.cpp
@@ -423,7 +423,9 @@ void DetectionOutputLayer<Ftype, Btype>::Forward_cpu(
           ptree output;
           output.add_child("detections", detections_);
           std::stringstream ss;
+#ifdef WRITE_JSON_SUPPORTED
           write_json(ss, output);
+#endif
           std::string rv = boost::regex_replace(ss.str(), exp, "$1");
           outfile << rv.substr(rv.find("["), rv.rfind("]") - rv.find("["))
               << std::endl << "]" << std::endl;
diff --git a/src/caffe/layers/detection_output_layer.cu b/src/caffe/layers/detection_output_layer.cu
index 4f5024b111b..f7fa5e0f42d 100644
--- a/src/caffe/layers/detection_output_layer.cu
+++ b/src/caffe/layers/detection_output_layer.cu
@@ -257,7 +257,9 @@ void DetectionOutputLayer<Ftype, Btype>::Forward_gpu(
           ptree output;
           output.add_child("detections", detections_);
           std::stringstream ss;
+#ifdef WRITE_JSON_SUPPORTED
           write_json(ss, output);
+#endif
           std::string rv = boost::regex_replace(ss.str(), exp, "$1");
           outfile << rv.substr(rv.find("["), rv.rfind("]") - rv.find("["))
               << std::endl << "]" << std::endl;

From 413bc9dce08e66da16449474a20050b3c8e43c27 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Tue, 27 Feb 2018 11:41:39 -0800
Subject: [PATCH 12/42] Workspace stream lifecycle

---
 include/caffe/common.hpp              |  3 +++
 include/caffe/syncedmem.hpp           |  1 +
 include/caffe/util/gpu_memory.hpp     | 12 +++++++-----
 src/caffe/layers/cudnn_conv_layer.cpp |  4 ++--
 src/caffe/syncedmem.cpp               |  6 ++++--
 src/caffe/util/gpu_memory.cpp         |  9 +++++----
 6 files changed, 22 insertions(+), 13 deletions(-)

diff --git a/include/caffe/common.hpp b/include/caffe/common.hpp
index 93702b8fa74..19ee97f4d54 100644
--- a/include/caffe/common.hpp
+++ b/include/caffe/common.hpp
@@ -353,6 +353,9 @@ class Caffe {
   static cudaStream_t curand_stream() {
     return Get().curand_stream_->get();
   }
+  static shared_ptr<CudaStream> thread_pstream(int group = 0) {
+    return Get().pstream(group);
+  }
   static shared_ptr<CuBLASHandle> short_term_cublas_phandle() {
     return make_shared<CuBLASHandle>();
   }
diff --git a/include/caffe/syncedmem.hpp b/include/caffe/syncedmem.hpp
index 7c99d5015be..daf8b469daa 100644
--- a/include/caffe/syncedmem.hpp
+++ b/include/caffe/syncedmem.hpp
@@ -73,6 +73,7 @@ class SyncedMemory {
   bool own_gpu_data_;
   int  device_;
   bool valid_;
+  shared_ptr<CudaStream> pstream_;
 
   DISABLE_COPY_MOVE_AND_ASSIGN(SyncedMemory);
 };  // class SyncedMemory
diff --git a/include/caffe/util/gpu_memory.hpp b/include/caffe/util/gpu_memory.hpp
index b3807cbaccf..4072d2c6da4 100644
--- a/include/caffe/util/gpu_memory.hpp
+++ b/include/caffe/util/gpu_memory.hpp
@@ -28,8 +28,8 @@ struct GPUMemory {
   }
 
   template <class Any>
-  static void allocate(Any** ptr, size_t size, int device = current_device(), int group = 0) {
-    if (!try_allocate(reinterpret_cast<void**>(ptr), size, device, group)) {
+  static void allocate(Any** ptr, size_t size, int device, const shared_ptr<CudaStream>& pstream) {
+    if (!try_allocate(reinterpret_cast<void**>(ptr), size, device, pstream)) {
       LOG(FATAL) << "Failed to allocate " << size << " bytes on device " << device
           << ". " << mgr_.report_dev_info(device);
     }
@@ -39,8 +39,9 @@ struct GPUMemory {
     mgr_.deallocate(ptr, device);
   }
 
-  static bool try_allocate(void** ptr, size_t size, int device = current_device(), int group = 0) {
-    return mgr_.try_allocate(ptr, size, device, group);
+  static bool try_allocate(void** ptr, size_t size, int device,
+                           const shared_ptr<CudaStream>& pstream) {
+    return mgr_.try_allocate(ptr, size, device, pstream);
   }
 
   static shared_mutex& read_write_mutex() {
@@ -108,6 +109,7 @@ struct GPUMemory {
     void* ptr_;
     size_t size_;
     int device_;
+    shared_ptr<CudaStream> pstream_;
 
     DISABLE_COPY_MOVE_AND_ASSIGN(Workspace);
   };
@@ -134,7 +136,7 @@ struct GPUMemory {
     void lazy_init(int device);
     void GetInfo(size_t* free_mem, size_t* used_mem, bool with_update);
     void deallocate(void* ptr, int device);
-    bool try_allocate(void** ptr, size_t size, int device, int group = 0);
+    bool try_allocate(void** ptr, size_t size, int device, const shared_ptr<CudaStream>& pstream);
     void init(const std::vector<int>&, bool);
     void reset();
     std::string report_dev_info(int device);
diff --git a/src/caffe/layers/cudnn_conv_layer.cpp b/src/caffe/layers/cudnn_conv_layer.cpp
index ed3ceeabfb4..db1a8649039 100644
--- a/src/caffe/layers/cudnn_conv_layer.cpp
+++ b/src/caffe/layers/cudnn_conv_layer.cpp
@@ -235,7 +235,7 @@ void CuDNNConvolutionLayer<Ftype, Btype>::LayerSetUp(
 template <typename Ftype, typename Btype>
 void CuDNNConvolutionLayer<Ftype, Btype>::AllocateFindExWorkspace() {
   const int dev = Caffe::current_device();
-  shared_ptr<GPUMemory::Workspace> ws = GPUMemory::workspace_[dev];
+  shared_ptr<GPUMemory::Workspace>& ws = GPUMemory::workspace_[dev];
   size_t bytes_available, bytes_total;
   GPUMemory::GetInfo(&bytes_available, &bytes_total, true);
   bytes_available = std::min(bytes_available + ws->size(), bytes_total / 2UL);
@@ -514,7 +514,7 @@ void CuDNNConvolutionLayer<Ftype, Btype>::FindExConvAlgo(
   cudaStream_t stream = Caffe::thread_stream(0);
 
   const int dev = Caffe::current_device();
-  shared_ptr<GPUMemory::Workspace> ws = GPUMemory::workspace_[dev];
+  shared_ptr<GPUMemory::Workspace>& ws = GPUMemory::workspace_[dev];
   const size_t gsize = ws->size() / ws_groups();
   CHECK(is_even(gsize)) << ws->size() << " / " << ws_groups() << " -> " << gsize;
 
diff --git a/src/caffe/syncedmem.cpp b/src/caffe/syncedmem.cpp
index b7cd6f09f84..9390a442196 100644
--- a/src/caffe/syncedmem.cpp
+++ b/src/caffe/syncedmem.cpp
@@ -80,7 +80,8 @@ void SyncedMemory::to_gpu(bool copy_from_cpu, int group) {
   switch (head_) {
     case UNINITIALIZED:
       CUDA_CHECK(cudaGetDevice(&device_));
-      GPUMemory::allocate(&gpu_ptr_, size_, device_, group);
+      pstream_ = Caffe::thread_pstream(group);
+      GPUMemory::allocate(&gpu_ptr_, size_, device_, pstream_);
       caffe_gpu_memset(size_, 0, gpu_ptr_, group);
       head_ = HEAD_AT_GPU;
       own_gpu_data_ = true;
@@ -88,7 +89,8 @@ void SyncedMemory::to_gpu(bool copy_from_cpu, int group) {
     case HEAD_AT_CPU:
       if (gpu_ptr_ == NULL) {
         CUDA_CHECK(cudaGetDevice(&device_));
-        GPUMemory::allocate(&gpu_ptr_, size_, device_, group);
+        pstream_ = Caffe::thread_pstream(group);
+        GPUMemory::allocate(&gpu_ptr_, size_, device_, pstream_);
         own_gpu_data_ = true;
       }
       if (copy_from_cpu) {
diff --git a/src/caffe/util/gpu_memory.cpp b/src/caffe/util/gpu_memory.cpp
index 5c2ab8fda30..2446f84c271 100644
--- a/src/caffe/util/gpu_memory.cpp
+++ b/src/caffe/util/gpu_memory.cpp
@@ -67,7 +67,8 @@ bool GPUMemory::Workspace::try_reserve(size_t size, int device) {
     if (device != INVALID_DEVICE) {
       device_ = device;  // switch from default to specific one
     }
-    status = mgr_.try_allocate(&ptr_, size, device_);
+    pstream_ = Caffe::thread_pstream(0);
+    status = mgr_.try_allocate(&ptr_, size, device_, pstream_);
     if (status) {
       CHECK_NOTNULL(ptr_);
       size_ = size;
@@ -132,7 +133,8 @@ void GPUMemory::Manager::lazy_init(int device) {
   static Scope gpu_memory_scope(gpus);
 }
 
-bool GPUMemory::Manager::try_allocate(void** ptr, size_t size, int device, int group) {
+bool GPUMemory::Manager::try_allocate(void** ptr, size_t size, int device,
+                                      const shared_ptr<CudaStream>& pstream) {
   if (!initialized_) {
     lazy_init(device);
   }
@@ -144,8 +146,7 @@ bool GPUMemory::Manager::try_allocate(void** ptr, size_t size, int device, int g
     shared_lock<shared_mutex> lock(GPUMemory::read_write_mutex());
     size_t size_allocated = 0;
     // Clean Cache & Retry logic is inside now
-    status = cub_allocator_->DeviceAllocate(device, ptr, size,
-        Caffe::thread_stream(group), size_allocated);
+    status = cub_allocator_->DeviceAllocate(device, ptr, size, pstream->get(), size_allocated);
     if (status == cudaSuccess && device > INVALID_DEVICE) {
       if (size_allocated > 0) {
         if (dev_info_[device].free_ < update_thresholds_[device]) {

From 8b3b4f3a23bbafca76f617c1ef49fc03d63dd83c Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Tue, 27 Feb 2018 14:18:38 -0800
Subject: [PATCH 13/42] More Affinity

---
 README.md                       | 6 ++++--
 src/caffe/batch_transformer.cpp | 2 +-
 src/caffe/layers/data_layer.cpp | 2 +-
 3 files changed, 6 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index f95295482f3..1032f956245 100644
--- a/README.md
+++ b/README.md
@@ -13,17 +13,19 @@ Here are the major features:
 * **Mixed-precision support**. It allows to store and/or compute data in either 
 64, 32 or 16 bit formats. Precision can be defined for every layer (forward and 
 backward passes might be different too), or it can be set for the whole Net.
+* **Layer-wise Adaptive Rate Control (LARC) and adaptive global gradient scaler** for better
+ accuracy, especially in 16-bit training.
 * **Integration with  [cuDNN](https://developer.nvidia.com/cudnn) v7**.
 * **Automatic selection of the best cuDNN convolution algorithm**.
 * **Integration with v2.2 of [NCCL library](https://github.com/NVIDIA/nccl)**
  for improved multi-GPU scaling.
 * **Optimized GPU memory management** for data and parameters storage, I/O buffers 
 and workspace for convolutional layers.
-* **Parallel data parser and transformer** for improved I/O performance.
+* **Parallel data parser, transformer and image reader** for improved I/O performance.
 * **Parallel back propagation and gradient reduction** on multi-GPU systems.
 * **Fast solvers implementation with fused CUDA kernels for weights and history update**.
 * **Multi-GPU test phase** for even memory load across multiple GPUs.
-* **Backward compatibility with BVLC Caffe and NVCaffe 0.15**.
+* **Backward compatibility with BVLC Caffe and NVCaffe 0.15 and higher**.
 * **Extended set of optimized models** (including 16 bit floating point examples).
 
 
diff --git a/src/caffe/batch_transformer.cpp b/src/caffe/batch_transformer.cpp
index 4cb33aca7fd..0d3cdd0b1a0 100644
--- a/src/caffe/batch_transformer.cpp
+++ b/src/caffe/batch_transformer.cpp
@@ -23,7 +23,7 @@ void BatchTransformer<Ftype, Btype>::ResizeQueues(size_t queues_num) {
   if (queues_num_ > prefetches_free_.size()) {
     resize(true);
   }
-  StartInternalThread();
+  StartInternalThread(true);
 }
 
 template<typename Ftype, typename Btype>
diff --git a/src/caffe/layers/data_layer.cpp b/src/caffe/layers/data_layer.cpp
index 56985a6c73e..a0557b07815 100644
--- a/src/caffe/layers/data_layer.cpp
+++ b/src/caffe/layers/data_layer.cpp
@@ -87,7 +87,7 @@ DataLayer<Ftype, Btype>::InitializePrefetch() {
       }
     }
 
-    this->RestartAllThreads(transf_num, true, false, Caffe::next_seed());
+    this->RestartAllThreads(transf_num, true, true, Caffe::next_seed());
     this->transf_num_ = this->threads_num();
     this->parsers_num_ = parsers_num;
     this->queues_num_ = this->transf_num_ * this->parsers_num_;

From ac5a90a9f74bf98bf614f1940e8514a27d700d4b Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Tue, 27 Feb 2018 18:05:33 -0800
Subject: [PATCH 14/42] Less Affinity

---
 src/caffe/layers/data_layer.cpp           | 2 +-
 src/caffe/test/test_convolution_layer.cpp | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/caffe/layers/data_layer.cpp b/src/caffe/layers/data_layer.cpp
index a0557b07815..56985a6c73e 100644
--- a/src/caffe/layers/data_layer.cpp
+++ b/src/caffe/layers/data_layer.cpp
@@ -87,7 +87,7 @@ DataLayer<Ftype, Btype>::InitializePrefetch() {
       }
     }
 
-    this->RestartAllThreads(transf_num, true, true, Caffe::next_seed());
+    this->RestartAllThreads(transf_num, true, false, Caffe::next_seed());
     this->transf_num_ = this->threads_num();
     this->parsers_num_ = parsers_num;
     this->queues_num_ = this->transf_num_ * this->parsers_num_;
diff --git a/src/caffe/test/test_convolution_layer.cpp b/src/caffe/test/test_convolution_layer.cpp
index 0e41c7d942b..356cf83b37a 100644
--- a/src/caffe/test/test_convolution_layer.cpp
+++ b/src/caffe/test/test_convolution_layer.cpp
@@ -1108,7 +1108,7 @@ TYPED_TEST(CuDNNConvolutionLayerTest, TestGradientCuDNN) {
   convolution_param->mutable_weight_filler()->set_type("gaussian");
   convolution_param->mutable_bias_filler()->set_type("gaussian");
   CuDNNConvolutionLayer<TypeParam, TypeParam> layer(layer_param);
-  GradientChecker<TypeParam> checker(tol<TypeParam>(5e-2, 1e-1), tol<TypeParam>(1e-2, 5e-1));
+  GradientChecker<TypeParam> checker(tol<TypeParam>(3e-2, 1e-1), tol<TypeParam>(1e-2, 5e-1));
   checker.CheckGradientExhaustive(&layer, this->blob_bottom_vec_, this->blob_top_vec_);
 }
 

From 30bbcb97249a5adab31af3dd1b79c8475bf2311f Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Wed, 28 Feb 2018 11:56:22 -0800
Subject: [PATCH 15/42] 0.17

---
 .travis.yml             | 2 +-
 CMakeLists.txt          | 4 ++--
 Makefile                | 4 ++--
 Makefile.config.example | 4 ++--
 4 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/.travis.yml b/.travis.yml
index c7c9c1e5087..6478c866904 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -6,7 +6,7 @@ compiler: gcc
 
 env:
   global:
-    - NUM_THREADS=4
+    - NUM_THREADS=8
   matrix:
     # Use a build matrix to test many builds in parallel
     # envvar defaults:
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 64aef17340e..21d9095b7b7 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -10,8 +10,8 @@ endif()
 project(Caffe C CXX)
 
 # ---[ Caffe version
-set(CAFFE_TARGET_VERSION "0.16.6")
-set(CAFFE_TARGET_SOVERSION "0.16")
+set(CAFFE_TARGET_VERSION "0.17.0")
+set(CAFFE_TARGET_SOVERSION "0.17")
 add_definitions(-DCAFFE_VERSION=${CAFFE_TARGET_VERSION})
 
 # Skip `typedef __half half;`
diff --git a/Makefile b/Makefile
index b5d72c4208b..94603bad356 100644
--- a/Makefile
+++ b/Makefile
@@ -35,8 +35,8 @@ LIBRARY_NAME := $(PROJECT)$(LIBRARY_NAME_SUFFIX)
 LIB_BUILD_DIR := $(BUILD_DIR)/lib
 STATIC_NAME := $(LIB_BUILD_DIR)/lib$(LIBRARY_NAME).a
 DYNAMIC_VERSION_MAJOR 		:= 0
-DYNAMIC_VERSION_MINOR 		:= 16
-DYNAMIC_VERSION_REVISION 	:= 6
+DYNAMIC_VERSION_MINOR 		:= 17
+DYNAMIC_VERSION_REVISION 	:= 0
 DYNAMIC_NAME_SHORT := lib$(LIBRARY_NAME).so
 DYNAMIC_SONAME_SHORT := $(DYNAMIC_NAME_SHORT).$(DYNAMIC_VERSION_MAJOR).$(DYNAMIC_VERSION_MINOR)
 DYNAMIC_VERSIONED_NAME_SHORT := $(DYNAMIC_SONAME_SHORT).$(DYNAMIC_VERSION_REVISION)
diff --git a/Makefile.config.example b/Makefile.config.example
index 670d1df0ce1..9e1183434f2 100644
--- a/Makefile.config.example
+++ b/Makefile.config.example
@@ -3,7 +3,7 @@
 
 # cuDNN acceleration switch (uncomment to build with cuDNN).
 # cuDNN version 6 or higher is required.
-# USE_CUDNN := 1
+USE_CUDNN := 1
 
 # NCCL acceleration switch (uncomment to build with NCCL)
 # See https://github.com/NVIDIA/nccl
@@ -18,7 +18,7 @@
 # USE_LMDB := 0
 
 # Uncomment if you're using OpenCV 3
-# OPENCV_VERSION := 3
+OPENCV_VERSION := 3
 
 # To customize your choice of compiler, uncomment and set the following.
 # N.B. the default for Linux is g++ and the default for OSX is clang++

From 40119a57e0ceeaa75ba3149d4ae471fa3c96a77c Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Wed, 28 Feb 2018 15:39:38 -0800
Subject: [PATCH 16/42] Non-cuDNN path fixed

---
 Makefile.config.example | 4 ++--
 src/caffe/blob.cpp      | 3 ++-
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/Makefile.config.example b/Makefile.config.example
index 9e1183434f2..670d1df0ce1 100644
--- a/Makefile.config.example
+++ b/Makefile.config.example
@@ -3,7 +3,7 @@
 
 # cuDNN acceleration switch (uncomment to build with cuDNN).
 # cuDNN version 6 or higher is required.
-USE_CUDNN := 1
+# USE_CUDNN := 1
 
 # NCCL acceleration switch (uncomment to build with NCCL)
 # See https://github.com/NVIDIA/nccl
@@ -18,7 +18,7 @@ USE_CUDNN := 1
 # USE_LMDB := 0
 
 # Uncomment if you're using OpenCV 3
-OPENCV_VERSION := 3
+# OPENCV_VERSION := 3
 
 # To customize your choice of compiler, uncomment and set the following.
 # N.B. the default for Linux is g++ and the default for OSX is clang++
diff --git a/src/caffe/blob.cpp b/src/caffe/blob.cpp
index c6e1cc443d7..522d981489d 100644
--- a/src/caffe/blob.cpp
+++ b/src/caffe/blob.cpp
@@ -1,7 +1,8 @@
 #include <climits>
 #include <vector>
+#if defined(USE_CUDNN)
 #include <caffe/util/cudnn.hpp>
-
+#endif
 #include "caffe/blob.hpp"
 
 namespace caffe {

From bbecbea3de3edb40a503052d6f6dbbd8bf13f8d2 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Thu, 1 Mar 2018 15:09:49 -0800
Subject: [PATCH 17/42] Travis&cleanup

---
 CMakeLists.txt                |  1 -
 Makefile                      |  3 ---
 cmake/ConfigGen.cmake         |  4 ----
 cmake/Dependencies.cmake      |  5 -----
 cmake/Summary.cmake           |  1 -
 packaging/deb/templates/rules |  1 -
 scripts/travis/build.sh       |  4 ++--
 scripts/travis/test.sh        |  2 ++
 src/caffe/util/bbox_util.cpp  | 14 ++++++++------
 9 files changed, 12 insertions(+), 23 deletions(-)

diff --git a/CMakeLists.txt b/CMakeLists.txt
index 21d9095b7b7..6e18fd62b39 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -53,7 +53,6 @@ caffe_option(BUILD_docs   "Build documentation" ON IF UNIX OR APPLE)
 caffe_option(BUILD_python_layer "Build the Caffe Python layer" ON)
 caffe_option(USE_LEVELDB "Build with levelDB" ON)
 caffe_option(USE_LMDB "Build with lmdb" ON)
-caffe_option(ALLOW_LMDB_NOLOCK "Allow MDB_NOLOCK when reading LMDB files (only if necessary)" OFF)
 caffe_option(TEST_FP16 "Build Caffe Tests with 16 bit mode included" OFF)
 caffe_option(NO_NVML "Build Caffe Tests without NVML (i.e. no CPU affinity)" OFF)
 
diff --git a/Makefile b/Makefile
index 94603bad356..858886cc775 100644
--- a/Makefile
+++ b/Makefile
@@ -376,9 +376,6 @@ ifeq ($(USE_LEVELDB), 1)
 endif
 ifeq ($(USE_LMDB), 1)
 	COMMON_FLAGS += -DUSE_LMDB
-ifeq ($(ALLOW_LMDB_NOLOCK), 1)
-	COMMON_FLAGS += -DALLOW_LMDB_NOLOCK
-endif
 endif
 
 # New place for HDF5
diff --git a/cmake/ConfigGen.cmake b/cmake/ConfigGen.cmake
index 1db099279f8..5870984dd5a 100644
--- a/cmake/ConfigGen.cmake
+++ b/cmake/ConfigGen.cmake
@@ -53,14 +53,10 @@ function(caffe_generate_export_configs)
   set(Caffe_DEFINITIONS "")
   if(NOT HAVE_CUDA)
     set(HAVE_CUDA FALSE)
-    list(APPEND Caffe_DEFINITIONS -DCPU_ONLY)
   endif()
 
   if(USE_LMDB)
     list(APPEND Caffe_DEFINITIONS -DUSE_LMDB)
-    if (ALLOW_LMDB_NOLOCK)
-        list(APPEND Caffe_DEFINITIONS -DALLOW_LMDB_NOLOCK)
-    endif()
   endif()
 
   if(USE_LEVELDB)
diff --git a/cmake/Dependencies.cmake b/cmake/Dependencies.cmake
index affbde8f316..c55c1116552 100644
--- a/cmake/Dependencies.cmake
+++ b/cmake/Dependencies.cmake
@@ -34,9 +34,6 @@ if(USE_LMDB)
   include_directories(SYSTEM ${LMDB_INCLUDE_DIR})
   list(APPEND Caffe_LINKER_LIBS ${LMDB_LIBRARIES})
   add_definitions(-DUSE_LMDB)
-  if(ALLOW_LMDB_NOLOCK)
-    add_definitions(-DALLOW_LMDB_NOLOCK)
-  endif()
 endif()
 
 # ---[ LevelDB
@@ -62,8 +59,6 @@ list(APPEND Caffe_LINKER_LIBS ${JPEGTurbo_LIBRARIES})
 include(cmake/Cuda.cmake)
 if(NOT HAVE_CUDA)
   message(SEND_ERROR "-- CUDA is not detected by cmake. Building without it...")
-  # TODO: remove this not cross platform define in future. Use caffe_config.h instead.
-  add_definitions(-DCPU_ONLY)
 endif()
 
 # ---[ OpenCV
diff --git a/cmake/Summary.cmake b/cmake/Summary.cmake
index 467440761d5..b7505614c89 100644
--- a/cmake/Summary.cmake
+++ b/cmake/Summary.cmake
@@ -115,7 +115,6 @@ function(caffe_print_configuration_summary)
   caffe_status("  BUILD_docs        :   ${BUILD_docs}")
   caffe_status("  USE_LEVELDB       :   ${USE_LEVELDB}")
   caffe_status("  USE_LMDB          :   ${USE_LMDB}")
-  caffe_status("  ALLOW_LMDB_NOLOCK :   ${ALLOW_LMDB_NOLOCK}")
   caffe_status("  TEST_FP16         :   ${TEST_FP16}")
   caffe_status("")
   caffe_status("Dependencies:")
diff --git a/packaging/deb/templates/rules b/packaging/deb/templates/rules
index defa8e32522..fc8122c2319 100755
--- a/packaging/deb/templates/rules
+++ b/packaging/deb/templates/rules
@@ -17,7 +17,6 @@ endif
 
 override_dh_auto_configure:
 	dh_auto_configure -- \
-		-DALLOW_LMDB_NOLOCK=ON \
 		-DBLAS=Open \
 		-DCMAKE_BUILD_TYPE="Release" \
 		-DCMAKE_SKIP_RPATH=TRUE \
diff --git a/scripts/travis/build.sh b/scripts/travis/build.sh
index ca459a2531b..980a392ab68 100755
--- a/scripts/travis/build.sh
+++ b/scripts/travis/build.sh
@@ -5,9 +5,9 @@ BASEDIR=$(dirname $0)
 source $BASEDIR/defaults.sh
 
 if ! $WITH_CMAKE ; then
-  make --jobs $NUM_THREADS all test pycaffe warn
+  make -j"$(nproc)" all test pycaffe warn
 else
   cd build
-  make --jobs $NUM_THREADS all test.testbin
+  make -j"$(nproc)" all test.testbin
 fi
 make lint
diff --git a/scripts/travis/test.sh b/scripts/travis/test.sh
index 24e8ea48b3e..05a35cf7dfe 100755
--- a/scripts/travis/test.sh
+++ b/scripts/travis/test.sh
@@ -10,10 +10,12 @@ if $WITH_CUDA ; then
 fi
 
 if ! $WITH_CMAKE ; then
+  make -j"$(nproc)"
   make runtest
   make pytest
 else
   cd build
+  make -j"$(nproc)"
   make runtest
   make pytest
 fi
diff --git a/src/caffe/util/bbox_util.cpp b/src/caffe/util/bbox_util.cpp
index 4b96925e1d4..b634ebea3bd 100644
--- a/src/caffe/util/bbox_util.cpp
+++ b/src/caffe/util/bbox_util.cpp
@@ -1810,13 +1810,14 @@ void GetMaxScoreIndex(const Dtype* scores, const int num, const float threshold,
   // Generate index score pairs.
   for (int i = 0; i < num; ++i) {
     if (scores[i] > threshold) {
-      score_index_vec->push_back(std::make_pair(scores[i], i));
+      score_index_vec->emplace_back(std::make_pair(scores[i], i));
     }
   }
 
   // Sort the score pair according to the scores in descending order
-  std::sort(score_index_vec->begin(), score_index_vec->end(),
-            SortScorePairDescend<int>);
+  std::partial_sort(
+      score_index_vec->begin(), score_index_vec->begin() + top_k,
+      score_index_vec->end(), SortScorePairDescend<int>);
 
   // Keep top_k scores if needed.
   if (top_k > -1 && top_k < score_index_vec->size()) {
@@ -1994,8 +1995,9 @@ void ApplyNMSFast(const Dtype* bboxes, const Dtype* scores, const int num,
   // Do nms.
   float adaptive_threshold = nms_threshold;
   indices->clear();
-  while (score_index_vec.size() != 0) {
-    const int idx = score_index_vec.front().second;
+  auto it = score_index_vec.begin();
+  while (it != score_index_vec.end()) {
+    const int idx = it->second;
     bool keep = true;
     for (int k = 0; k < indices->size(); ++k) {
       if (keep) {
@@ -2009,7 +2011,7 @@ void ApplyNMSFast(const Dtype* bboxes, const Dtype* scores, const int num,
     if (keep) {
       indices->push_back(idx);
     }
-    score_index_vec.erase(score_index_vec.begin());
+    ++it;
     if (keep && eta < 1 && adaptive_threshold > 0.5) {
       adaptive_threshold *= eta;
     }

From 249aa54a4a3319b9bd11cd414fffadb8b8983824 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Fri, 2 Mar 2018 00:37:42 -0800
Subject: [PATCH 18/42] Travis&cleanup

---
 scripts/travis/configure-cmake.sh     |  2 +-
 src/caffe/layers/axpy_layer.cpp       | 90 +++++++++++++++++++++++++
 src/caffe/layers/axpy_layer.cu        | 94 +++++++++++++++++++++++++++
 src/caffe/layers/image_data_layer.cpp |  1 +
 4 files changed, 186 insertions(+), 1 deletion(-)
 create mode 100644 src/caffe/layers/axpy_layer.cpp
 create mode 100644 src/caffe/layers/axpy_layer.cu

diff --git a/scripts/travis/configure-cmake.sh b/scripts/travis/configure-cmake.sh
index adafa7eca69..76fb65ad329 100644
--- a/scripts/travis/configure-cmake.sh
+++ b/scripts/travis/configure-cmake.sh
@@ -19,7 +19,7 @@ fi
 
 if $WITH_CUDA ; then
   # Only build SM50
-  ARGS="$ARGS -DCPU_ONLY=Off -DCUDA_ARCH_NAME=Manual -DCUDA_ARCH_BIN=\"50\" -DCUDA_ARCH_PTX=\"\""
+  ARGS="$ARGS -DCUDA_ARCH_NAME=Manual -DCUDA_ARCH_BIN=\"50\" -DCUDA_ARCH_PTX=\"\""
 fi
 
 if $WITH_CUDNN ; then
diff --git a/src/caffe/layers/axpy_layer.cpp b/src/caffe/layers/axpy_layer.cpp
new file mode 100644
index 00000000000..a672f0ffc4a
--- /dev/null
+++ b/src/caffe/layers/axpy_layer.cpp
@@ -0,0 +1,90 @@
+/*
+ * Axpy Layer
+ *
+ * Created on: May 1, 2017
+ * Author: hujie
+ */
+
+#include "caffe/layers/axpy_layer.hpp"
+
+namespace caffe {
+
+template <typename Ftype, typename Btype>
+void AxpyLayer<Ftype, Btype>::Reshape(const vector<Blob*>& bottom,
+    const vector<Blob*>& top) {
+  CHECK_EQ(bottom[0]->shape(0), bottom[1]->shape(0));
+  CHECK_EQ(bottom[0]->shape(1), bottom[1]->shape(1));
+  if (bottom[0]->num_axes() == 4) {
+    CHECK_EQ(bottom[0]->shape(2), 1);
+    CHECK_EQ(bottom[0]->shape(3), 1);
+  }
+  CHECK(bottom[1]->shape() == bottom[2]->shape());  
+  top[0]->ReshapeLike(*bottom[1]);
+  int spatial_dim = bottom[1]->count(2);
+  if (spatial_sum_multiplier_.count() < spatial_dim) {
+    spatial_sum_multiplier_.Reshape(vector<int>(1, spatial_dim));
+    caffe_set(spatial_dim, Btype(1),
+        spatial_sum_multiplier_.mutable_cpu_data());
+  }
+}
+
+template <typename Ftype, typename Btype>
+void AxpyLayer<Ftype, Btype>::Forward_cpu(const vector<Blob*>& bottom,
+    const vector<Blob*>& top) {
+  int channel_dim = bottom[1]->channels();
+  int spatial_dim = bottom[1]->count(2);
+  const Ftype* scale_data = bottom[0]->cpu_data<Ftype>();
+  const Ftype* x_data = bottom[1]->cpu_data<Ftype>();
+  Ftype* top_data = top[0]->mutable_cpu_data<Ftype>();
+  caffe_copy(bottom[2]->count(), bottom[2]->cpu_data<Ftype>(), top_data);
+  for (int n = 0; n < bottom[1]->num(); ++n) {
+    for (int c = 0; c < channel_dim; ++c) {
+      int scale_offset = n * channel_dim + c;
+      caffe_axpy(spatial_dim, scale_data[scale_offset], 
+          x_data + scale_offset * spatial_dim, 
+          top_data + scale_offset * spatial_dim);  
+    }
+  }
+}
+
+template <typename Ftype, typename Btype>
+void AxpyLayer<Ftype, Btype>::Backward_cpu(const vector<Blob*>& top,
+    const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
+  const int count = top[0]->count();
+  const Btype* top_diff = top[0]->cpu_diff<Btype>();
+  if (propagate_down[0]) {
+    int spatial_dim = bottom[1]->count(2);
+    const Btype* x_data = bottom[1]->cpu_data<Btype>();
+    Btype* x_diff = bottom[1]->mutable_cpu_diff<Btype>();
+    Btype* scale_diff = bottom[0]->mutable_cpu_diff<Btype>();
+    caffe_mul(count, top_diff, x_data, x_diff);
+    caffe_set(bottom[0]->count(), Btype(0), scale_diff);
+    caffe_cpu_gemv(CblasNoTrans, bottom[0]->count(), spatial_dim, Btype(1),
+        x_diff, spatial_sum_multiplier_.cpu_data(), Btype(1), scale_diff);
+    if (!propagate_down[1]) {
+      caffe_set(bottom[1]->count(), Btype(0), x_diff);
+    }
+  }
+  if (propagate_down[0]) {
+    int channel_dim = bottom[1]->channels();
+    int spatial_dim = bottom[1]->count(2);
+    const Btype* scale_data = bottom[0]->cpu_data<Btype>();
+    Btype* x_diff = bottom[1]->mutable_cpu_diff<Btype>();
+    for (int n = 0; n < bottom[1]->num(); ++n) {
+      for (int c = 0; c < channel_dim; ++c) {
+        int scale_offset = n * channel_dim + c;
+        caffe_cpu_scale(spatial_dim, scale_data[scale_offset], 
+            top_diff + scale_offset * spatial_dim, 
+            x_diff + scale_offset * spatial_dim);  
+      }
+    }
+  }
+  if (propagate_down[2]) {
+    caffe_copy(count, top_diff, bottom[2]->mutable_cpu_diff<Btype>());
+  }
+}
+
+INSTANTIATE_CLASS_FB(AxpyLayer);
+REGISTER_LAYER_CLASS(Axpy);
+
+} // namespace
diff --git a/src/caffe/layers/axpy_layer.cu b/src/caffe/layers/axpy_layer.cu
new file mode 100644
index 00000000000..04cba231c20
--- /dev/null
+++ b/src/caffe/layers/axpy_layer.cu
@@ -0,0 +1,94 @@
+/*
+ * Axpy Layer
+ *
+ * Created on: May 1, 2017
+ * Author: hujie
+ */
+
+#include "caffe/layers/axpy_layer.hpp"
+
+namespace caffe {
+
+template <typename Dtype>
+__global__ void AxpyForward(const int count, const int spatial_dim, 
+    const Dtype* scale_data, const Dtype* x_data, const Dtype* y_data,
+    Dtype* out_data) {
+  CUDA_KERNEL_LOOP(index, count) {
+    out_data[index] = scale_data[index / spatial_dim] * x_data[index]
+        + y_data[index];
+  }
+}
+
+template <typename Ftype, typename Btype>
+void AxpyLayer<Ftype, Btype>::Forward_gpu(
+    const vector<Blob*>& bottom, const vector<Blob*>& top) {
+  const Ftype* scale_data = bottom[0]->gpu_data<Ftype>();
+  const Ftype* x_data = bottom[1]->gpu_data<Ftype>();
+  const Ftype* y_data = bottom[2]->gpu_data<Ftype>();
+  Ftype* out_data = top[0]->mutable_gpu_data<Ftype>();
+  const int count = bottom[1]->count();
+  AxpyForward<Ftype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS>>>(
+      count, bottom[1]->count(2), scale_data, x_data, y_data, out_data);  
+}
+
+template <typename Dtype>
+__global__ void AxpyBackwardScale(const int outer_num, const int spatial_dim, 
+    const Dtype* x_data, const Dtype* top_diff, Dtype* scale_diff) {
+  __shared__ Dtype buffer[CAFFE_CUDA_NUM_THREADS];
+  unsigned int tid = threadIdx.x;
+  buffer[tid] = 0;
+  __syncthreads();
+
+  for (int j = tid; j < spatial_dim; j += blockDim.x) {
+    int offset = blockIdx.x * spatial_dim + j;
+    buffer[tid] += top_diff[offset] * x_data[offset];
+  }
+  __syncthreads();
+
+  for (int i = blockDim.x / 2; i > 0; i >>= 1) {
+    if (tid < i) {
+      buffer[threadIdx.x] += buffer[threadIdx.x + i];
+    }
+    __syncthreads();
+  }
+
+  if (tid == 0) {
+    scale_diff[blockIdx.x] = buffer[0];
+  }
+}
+
+template <typename Dtype>
+__global__ void AxpyBackwardX(const int count, const int spatial_dim, 
+    const Dtype* scale_data, const Dtype* top_diff, Dtype* out) {
+  CUDA_KERNEL_LOOP(index, count) {
+    out[index] = scale_data[index / spatial_dim] * top_diff[index];
+  }
+}
+
+template <typename Ftype, typename Btype>
+void AxpyLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
+    const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
+  const int count = top[0]->count();
+  const Btype* top_diff = top[0]->gpu_diff<Btype>();
+  if (propagate_down[0]) {
+    int outer_num = bottom[1]->count(0, 2);
+    AxpyBackwardScale<Btype><<<outer_num, CAFFE_CUDA_NUM_THREADS>>>(
+        outer_num, bottom[1]->count(2),
+        bottom[1]->gpu_data<Btype>(), top_diff,
+        bottom[0]->mutable_gpu_diff<Btype>());
+  }
+  if (propagate_down[1]) {
+    AxpyBackwardX<Btype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS>>>(
+        count, top[0]->count(2), 
+        bottom[0]->gpu_data<Btype>(), top_diff,
+        bottom[1]->mutable_gpu_diff<Btype>());
+  }
+  if (propagate_down[2]) {
+    caffe_copy(count, top_diff, bottom[2]->mutable_gpu_diff<Btype>());
+  }
+  CUDA_POST_KERNEL_CHECK;
+}
+
+INSTANTIATE_LAYER_GPU_FUNCS_FB(AxpyLayer);
+
+}  // namespace caffe
diff --git a/src/caffe/layers/image_data_layer.cpp b/src/caffe/layers/image_data_layer.cpp
index 878bb075c75..fe47e3cd1c0 100644
--- a/src/caffe/layers/image_data_layer.cpp
+++ b/src/caffe/layers/image_data_layer.cpp
@@ -68,6 +68,7 @@ void ImageDataLayer<Ftype, Btype>::DataLayerSetUp(const vector<Blob*>& bottom,
     const string &source = image_data_param.source();
     LOG(INFO) << "Opening file " << source;
     std::ifstream infile(source.c_str());
+    CHECK(infile.good()) << "File " << source;
     string filename;
     int label;
     while (infile >> filename >> label) {

From 9f176c41af9bc39efcfbdccca8e5885c1104a2b6 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Fri, 2 Mar 2018 00:58:13 -0800
Subject: [PATCH 19/42] axpy

---
 include/caffe/layers/axpy_layer.hpp | 60 +++++++++++++++++++++++++++++
 1 file changed, 60 insertions(+)
 create mode 100644 include/caffe/layers/axpy_layer.hpp

diff --git a/include/caffe/layers/axpy_layer.hpp b/include/caffe/layers/axpy_layer.hpp
new file mode 100644
index 00000000000..908206cbea8
--- /dev/null
+++ b/include/caffe/layers/axpy_layer.hpp
@@ -0,0 +1,60 @@
+/*
+ * Axpy Layer
+ *
+ * Created on: May 1, 2017
+ * Author: hujie
+ */
+
+#ifndef CAFFE_AXPY_LAYER_HPP_
+#define CAFFE_AXPY_LAYER_HPP_
+
+#include <vector>
+
+#include "caffe/blob.hpp"
+#include "caffe/layer.hpp"
+
+namespace caffe {
+
+/**
+ * @brief For reduce memory and time both on training and testing, we combine
+ *        channel-wise scale operation and element-wise addition operation 
+ *        into a single layer called "axpy".
+ *       
+ */
+template <typename Ftype, typename Btype>
+class AxpyLayer: public Layer<Ftype, Btype> {
+ public:
+  explicit AxpyLayer(const LayerParameter& param)
+      : Layer<Ftype, Btype>(param) {}
+  virtual void LayerSetUp(const vector<Blob*>& bottom, const vector<Blob*>& top) {}
+  virtual void Reshape(const vector<Blob*>& bottom, const vector<Blob*>& top);
+
+  virtual inline const char* type() const { return "Axpy"; }
+  virtual inline int ExactNumBottomBlobs() const { return 3; }
+  virtual inline int ExactNumTopBlobs() const { return 1; }
+
+ protected:
+/**
+ * @param Formulation:
+ *            F = a * X + Y
+ *	  Shape info:
+ *            a:  N x C          --> bottom[0]      
+ *            X:  N x C x H x W  --> bottom[1]       
+ *            Y:  N x C x H x W  --> bottom[2]     
+ *            F:  N x C x H x W  --> top[0]
+ */
+  virtual void Forward_cpu(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+  virtual void Forward_gpu(const vector<Blob*>& bottom,
+      const vector<Blob*>& top);
+  virtual void Backward_cpu(const vector<Blob*>& top,
+      const vector<bool>& propagate_down, const vector<Blob*>& bottom);
+  virtual void Backward_gpu(const vector<Blob*>& top,
+      const vector<bool>& propagate_down, const vector<Blob*>& bottom);
+
+  TBlob<Btype> spatial_sum_multiplier_;
+};
+
+}  // namespace caffe
+
+#endif  // CAFFE_AXPY_LAYER_HPP_

From 30f1c080ba261b1518007ef65e2b5955f9f78b2b Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Fri, 2 Mar 2018 16:36:17 -0800
Subject: [PATCH 20/42] Axpy fix

---
 src/caffe/layers/axpy_layer.cu   | 23 +++++++++++++++++------
 src/caffe/util/math_functions.cu |  2 +-
 2 files changed, 18 insertions(+), 7 deletions(-)

diff --git a/src/caffe/layers/axpy_layer.cu b/src/caffe/layers/axpy_layer.cu
index 04cba231c20..31bddbe1094 100644
--- a/src/caffe/layers/axpy_layer.cu
+++ b/src/caffe/layers/axpy_layer.cu
@@ -5,6 +5,9 @@
  * Author: hujie
  */
 
+#include <device_launch_parameters.h>
+#include "caffe/util/half.cuh"
+#include "caffe/util/gpu_math_functions.cuh"
 #include "caffe/layers/axpy_layer.hpp"
 
 namespace caffe {
@@ -27,14 +30,17 @@ void AxpyLayer<Ftype, Btype>::Forward_gpu(
   const Ftype* y_data = bottom[2]->gpu_data<Ftype>();
   Ftype* out_data = top[0]->mutable_gpu_data<Ftype>();
   const int count = bottom[1]->count();
-  AxpyForward<Ftype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS>>>(
-      count, bottom[1]->count(2), scale_data, x_data, y_data, out_data);  
+  cudaStream_t stream = Caffe::thread_stream();
+  AxpyForward<Ftype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
+      count, bottom[1]->count(2), scale_data, x_data, y_data, out_data);
+  CUDA_CHECK(cudaStreamSynchronize(stream));
 }
 
 template <typename Dtype>
 __global__ void AxpyBackwardScale(const int outer_num, const int spatial_dim, 
     const Dtype* x_data, const Dtype* top_diff, Dtype* scale_diff) {
-  __shared__ Dtype buffer[CAFFE_CUDA_NUM_THREADS];
+  __shared__ char axpy_buffer[CAFFE_CUDA_NUM_THREADS * sizeof(Dtype)];
+  Dtype* buffer = reinterpret_cast<Dtype*>(axpy_buffer);
   unsigned int tid = threadIdx.x;
   buffer[tid] = 0;
   __syncthreads();
@@ -71,22 +77,27 @@ void AxpyLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
   const int count = top[0]->count();
   const Btype* top_diff = top[0]->gpu_diff<Btype>();
   if (propagate_down[0]) {
+    cudaStream_t stream = Caffe::thread_stream();
     int outer_num = bottom[1]->count(0, 2);
-    AxpyBackwardScale<Btype><<<outer_num, CAFFE_CUDA_NUM_THREADS>>>(
+    AxpyBackwardScale<<<outer_num, CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
         outer_num, bottom[1]->count(2),
         bottom[1]->gpu_data<Btype>(), top_diff,
         bottom[0]->mutable_gpu_diff<Btype>());
+    CUDA_POST_KERNEL_CHECK;
+    CUDA_CHECK(cudaStreamSynchronize(stream));
   }
   if (propagate_down[1]) {
-    AxpyBackwardX<Btype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS>>>(
+    cudaStream_t stream = Caffe::thread_stream();
+    AxpyBackwardX<<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
         count, top[0]->count(2), 
         bottom[0]->gpu_data<Btype>(), top_diff,
         bottom[1]->mutable_gpu_diff<Btype>());
+    CUDA_POST_KERNEL_CHECK;
+    CUDA_CHECK(cudaStreamSynchronize(stream));
   }
   if (propagate_down[2]) {
     caffe_copy(count, top_diff, bottom[2]->mutable_gpu_diff<Btype>());
   }
-  CUDA_POST_KERNEL_CHECK;
 }
 
 INSTANTIATE_LAYER_GPU_FUNCS_FB(AxpyLayer);
diff --git a/src/caffe/util/math_functions.cu b/src/caffe/util/math_functions.cu
index f46450e59b4..12563b795e7 100644
--- a/src/caffe/util/math_functions.cu
+++ b/src/caffe/util/math_functions.cu
@@ -2,7 +2,6 @@
 #include <device_launch_parameters.h>
 
 #include "caffe/util/half.cuh"
-//#include "caffe/common.hpp"
 #include "caffe/util/math_functions.hpp"
 #include "caffe/util/gpu_math_functions.cuh"
 #include "caffe/type.hpp"
@@ -332,6 +331,7 @@ void gpu_dot_kernel(const int N, const Dtype* x, const Dtype* y, Mtype* out) {
   Mtype cache[CAFFE_CUDA_NUM_THREADS];
   const int tidx = threadIdx.x;
   cache[tidx] = 0.;
+  __syncthreads();
   for (int i = tidx; i < N; i += blockDim.x) {
     cache[tidx] += static_cast<Mtype>(x[i]) * static_cast<Mtype>(y[i]);
   }

From 9069d8d020cd3d7851dcecbca6d05f954797b70a Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Tue, 6 Mar 2018 19:52:55 -0800
Subject: [PATCH 21/42] SE Nets support

---
 models/modelBuilder/build_resnet.py | 18 +++++++++++++
 models/modelBuilder/layers.py       | 40 ++++++++++++++++++++++++++---
 src/caffe/parallel.cpp              | 11 +++++---
 src/caffe/solver.cpp                |  3 +++
 4 files changed, 64 insertions(+), 8 deletions(-)

diff --git a/models/modelBuilder/build_resnet.py b/models/modelBuilder/build_resnet.py
index 27be766dd82..49995df52f5 100755
--- a/models/modelBuilder/build_resnet.py
+++ b/models/modelBuilder/build_resnet.py
@@ -163,5 +163,23 @@ def main():
     fp = open("resnet_50.prototxt", 'w')
     fp.write(model)
 
+    netConfig = numpy.matrix([
+        [ 64, 3, 1, 0],
+        [128, 4, 1, 1],
+        [256, 23, 1, 1],
+        [512, 3, 1, 1]])
+    model = buildResidualModel(netConfig, name="Resnet101", net_type="large")
+    fp = open("resnet_101.prototxt", 'w')
+    fp.write(model)
+
+    netConfig = numpy.matrix([
+        [ 64, 3, 1, 0],
+        [128, 8, 1, 1],
+        [256, 36, 1, 1],
+        [512, 3, 1, 1]])
+    model = buildResidualModel(netConfig, name="Resnet152", net_type="large")
+    fp = open("resnet_152.prototxt", 'w')
+    fp.write(model)
+
 if __name__ == '__main__':
     main()
diff --git a/models/modelBuilder/layers.py b/models/modelBuilder/layers.py
index 068d66ef3ee..c07a6bfa7e2 100755
--- a/models/modelBuilder/layers.py
+++ b/models/modelBuilder/layers.py
@@ -15,6 +15,33 @@ def  addHeader(model, name):
 
 #------------------------------------------------------------------------------
 
+def addSigmoid(model, name, bottom):
+    layer = '''
+layer {{
+    name: "{name}"
+    type: "Sigmoid"
+    bottom: "{bottom}"
+    top: "{top}"
+}}'''.format(name=name, bottom=bottom, top=bottom)
+    model += layer
+    return model, bottom
+
+
+def addAxpy(model, name, bottom_1, bottom_2, bottom_3):
+    layer = '''
+layer {{
+  name: "{name}"
+  type: "Axpy"
+  bottom: "{bottom_1}"
+  bottom: "{bottom_2}"
+  bottom: "{bottom_3}"
+  top: "{top}"
+}}'''.format(name=name, bottom_1=bottom_1, bottom_2=bottom_2, bottom_3=bottom_3, top=name)
+    top = name
+    model += layer
+    return model, top
+
+
 def addData(model, train_batch=32, test_batch=32,
                  train_file="examples/imagenet/ilsvrc12_train_lmdb",
                  test_file = "examples/imagenet/ilsvrc12_val_lmdb",
@@ -337,7 +364,7 @@ def addConvBnSelu(model, name, bottom, num_output,
 
 #---------------------------------------------------------------------------------
 
-def addPool(model, name, bottom, kernel_size, stride, pool_type, pad=0):
+def addPool(model, name, bottom, kernel_size, stride, pool_type, pad=0, global_pooling=False):
 
     layer = '''
 layer {{
@@ -346,9 +373,11 @@ def addPool(model, name, bottom, kernel_size, stride, pool_type, pad=0):
   bottom: "{bottom}"
   top: "{top}"
   pooling_param {{
-    pool: {pool_type}
-    kernel_size: {kernel_size}\n'''.format(name=name, top=name, bottom=bottom,
-                               pool_type=pool_type, kernel_size=kernel_size)
+    pool: {pool_type}'''.format(name=name, top=name, bottom=bottom,
+                                pool_type=pool_type)
+
+    if (kernel_size > 0):
+        layer += '''    kernel_size: {kernel_size}\n'''.format(kernel_size=kernel_size)
 
     if (stride>1):
         layer += '''    stride: {}\n'''.format(stride)
@@ -356,6 +385,9 @@ def addPool(model, name, bottom, kernel_size, stride, pool_type, pad=0):
     if (pad>0):
         layer += '''    pad: {}\n'''.format(pad)
 
+    if (global_pooling):
+        layer += '''    global_pooling: true\n'''
+
     layer+='''  }\n}'''
     model += layer
     return model, name
diff --git a/src/caffe/parallel.cpp b/src/caffe/parallel.cpp
index 9dbbfbadb73..fbd56364ab2 100644
--- a/src/caffe/parallel.cpp
+++ b/src/caffe/parallel.cpp
@@ -160,14 +160,17 @@ void P2PSync::on_start(const vector<shared_ptr<Blob>>& net) {
   CHECK_EQ(count, nranks_);
   for (int i = 0; i < net.size(); ++i) {
     Blob* param = net[i].get();
+    const Type param_type = param->data_type();
+    const int type_id = solver_->net()->learnable_types()[0] == param_type ? 0 : 1;
+    reduce_barrier(type_id);
     NCCL_CHECK(ncclBcast(param->current_mutable_data_memory(true),
         even(param->count()),
-        nccl::nccl_type(param->data_type()),
+        nccl::nccl_type(param_type),
         0,
         nccl_comm_,
-        comm_stream(0)));
-    CUDA_CHECK(cudaStreamSynchronize(comm_stream(0)));
-    reduce_barrier(0);
+        comm_stream(type_id)));
+    CUDA_CHECK(cudaStreamSynchronize(comm_stream(type_id)));
+    reduce_barrier(type_id);
   }
 #endif  // USE_NCCL
 }
diff --git a/src/caffe/solver.cpp b/src/caffe/solver.cpp
index 644e55afbfd..126b5d3cd4e 100644
--- a/src/caffe/solver.cpp
+++ b/src/caffe/solver.cpp
@@ -206,6 +206,9 @@ void Solver::Step(int iters) {
       net_->InitializeLearnableDiffSpace(type_id);
     }
   }
+  for (auto b : net_->learnable_params_mapped()) {
+    b->current_mutable_data_memory(true);
+  }
 
   if (solver_count > 1) {
     // we need to sync all threads before starting, otherwise some cuda init,

From 4d386cdad3db71a5896edc68a353526e76658159 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Thu, 8 Mar 2018 14:58:43 -0800
Subject: [PATCH 22/42] Fix for cuDNN bad param

---
 include/caffe/layers/cudnn_conv_layer.hpp | 5 ++++-
 src/caffe/layers/cudnn_conv_layer.cu      | 6 ++++++
 2 files changed, 10 insertions(+), 1 deletion(-)

diff --git a/include/caffe/layers/cudnn_conv_layer.hpp b/include/caffe/layers/cudnn_conv_layer.hpp
index 2a79e127f99..3c0e9689899 100644
--- a/include/caffe/layers/cudnn_conv_layer.hpp
+++ b/include/caffe/layers/cudnn_conv_layer.hpp
@@ -41,6 +41,7 @@ class CuDNNConvolutionLayer : public ConvolutionLayer<Ftype, Btype> {
   static constexpr int MAX_PARALLEL_GROUPS = Caffe::MAX_CONV_GROUPS;
   static constexpr int REQUEST_ALGO_COUNT = 1;
   static constexpr int ATTEMPTS_TO_RESERVE_WS = 3;
+  static constexpr int REALLOC_COUNT = 3;
   static std::mutex m_;
 
   static ThreadSafeMap<std::unordered_map<int, size_t>> train_mem_req_all_grps_;
@@ -107,7 +108,7 @@ class CuDNNConvolutionLayer : public ConvolutionLayer<Ftype, Btype> {
     return fwd_count_ < 2UL;
   }
   bool ok_to_release() const {
-    return bwd_count_ == 3UL;
+    return bwd_count_ == REALLOC_COUNT;
   }
 
   void FindExConvAlgo(const vector<Blob*>& bottom, const vector<Blob*>& top);
@@ -162,6 +163,8 @@ template<typename Ftype, typename Btype>
 constexpr int CuDNNConvolutionLayer<Ftype, Btype>::REQUEST_ALGO_COUNT;
 template<typename Ftype, typename Btype>
 constexpr int CuDNNConvolutionLayer<Ftype, Btype>::ATTEMPTS_TO_RESERVE_WS;
+template<typename Ftype, typename Btype>
+constexpr int CuDNNConvolutionLayer<Ftype, Btype>::REALLOC_COUNT;
 
 template<typename Ftype, typename Btype>
 std::mutex CuDNNConvolutionLayer<Ftype, Btype>::m_;
diff --git a/src/caffe/layers/cudnn_conv_layer.cu b/src/caffe/layers/cudnn_conv_layer.cu
index 5a898662692..6727b0e8922 100644
--- a/src/caffe/layers/cudnn_conv_layer.cu
+++ b/src/caffe/layers/cudnn_conv_layer.cu
@@ -12,6 +12,9 @@ template<typename Ftype, typename Btype>
 void CuDNNConvolutionLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
     const vector<Blob*>& top) {
   const Ftype* weight = this->blobs_[0]->template gpu_data<Ftype>();
+  if (fwd_count_ <= REALLOC_COUNT) {
+    AllocateWorkspace(bottom.size());
+  }
   shared_ptr<GPUMemory::Workspace>& ws = GPUMemory::workspace_[Caffe::current_device()];
   if (use_v7grouping()) {
     for (int i = 0; i < bottom.size(); ++i) {
@@ -80,6 +83,9 @@ template <typename Ftype, typename Btype>
 void CuDNNConvolutionLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
     const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
   propagate_down_ = propagate_down;
+  if (bwd_count_ <= REALLOC_COUNT) {
+    AllocateWorkspace(bottom.size());
+  }
   shared_ptr<GPUMemory::Workspace>& ws = GPUMemory::workspace_[Caffe::current_device()];
   if (use_v7grouping()) {
     // compute dE/dB = sum_c(dE/dy)

From 008c3fa089cf0fc46d4a388a17c64c4218f0d2c3 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Thu, 8 Mar 2018 20:15:00 -0800
Subject: [PATCH 23/42] Fix alloc for small batches

---
 include/caffe/layers/cudnn_conv_layer.hpp | 29 +++---------
 src/caffe/layers/cudnn_conv_layer.cpp     | 56 ++++++++++++-----------
 src/caffe/layers/cudnn_conv_layer.cu      |  6 ---
 src/caffe/util/gpu_memory.cpp             |  4 +-
 4 files changed, 37 insertions(+), 58 deletions(-)

diff --git a/include/caffe/layers/cudnn_conv_layer.hpp b/include/caffe/layers/cudnn_conv_layer.hpp
index 3c0e9689899..70783ae4b4a 100644
--- a/include/caffe/layers/cudnn_conv_layer.hpp
+++ b/include/caffe/layers/cudnn_conv_layer.hpp
@@ -42,11 +42,10 @@ class CuDNNConvolutionLayer : public ConvolutionLayer<Ftype, Btype> {
   static constexpr int REQUEST_ALGO_COUNT = 1;
   static constexpr int ATTEMPTS_TO_RESERVE_WS = 3;
   static constexpr int REALLOC_COUNT = 3;
-  static std::mutex m_;
 
-  static ThreadSafeMap<std::unordered_map<int, size_t>> train_mem_req_all_grps_;
-  static ThreadSafeMap<std::unordered_map<int, size_t>> test_mem_req_all_grps_;
-  static ThreadSafeMap<std::unordered_map<int, size_t>> train_tmp_weights_mem_;
+  static std::atomic<size_t> train_mem_req_all_grps_;
+  static std::atomic<size_t> test_mem_req_all_grps_;
+  static std::atomic<size_t> train_tmp_weights_mem_;
 
  public:
   explicit CuDNNConvolutionLayer(const LayerParameter& param)
@@ -167,27 +166,11 @@ template<typename Ftype, typename Btype>
 constexpr int CuDNNConvolutionLayer<Ftype, Btype>::REALLOC_COUNT;
 
 template<typename Ftype, typename Btype>
-std::mutex CuDNNConvolutionLayer<Ftype, Btype>::m_;
-//template<typename Ftype, typename Btype>
-//ThreadSafeMap<std::unordered_map<int, size_t>>
-//CuDNNConvolutionLayer<Ftype, Btype>::ws_allocated_(
-//    CuDNNConvolutionLayer<Ftype, Btype>::m_);
-//template<typename Ftype, typename Btype>
-//ThreadSafeMap<std::unordered_map<int, bool>>
-//CuDNNConvolutionLayer<Ftype, Btype>::ws_released_(
-//    CuDNNConvolutionLayer<Ftype, Btype>::m_);
+std::atomic<size_t> CuDNNConvolutionLayer<Ftype, Btype>::train_mem_req_all_grps_;
 template<typename Ftype, typename Btype>
-ThreadSafeMap<std::unordered_map<int, size_t>>
-CuDNNConvolutionLayer<Ftype, Btype>::train_mem_req_all_grps_(
-    CuDNNConvolutionLayer<Ftype, Btype>::m_);
+std::atomic<size_t> CuDNNConvolutionLayer<Ftype, Btype>::test_mem_req_all_grps_;
 template<typename Ftype, typename Btype>
-ThreadSafeMap<std::unordered_map<int, size_t>>
-CuDNNConvolutionLayer<Ftype, Btype>::test_mem_req_all_grps_(
-    CuDNNConvolutionLayer<Ftype, Btype>::m_);
-template<typename Ftype, typename Btype>
-ThreadSafeMap<std::unordered_map<int, size_t>>
-CuDNNConvolutionLayer<Ftype, Btype>::train_tmp_weights_mem_(
-    CuDNNConvolutionLayer<Ftype, Btype>::m_);
+std::atomic<size_t> CuDNNConvolutionLayer<Ftype, Btype>::train_tmp_weights_mem_;
 
 #endif
 
diff --git a/src/caffe/layers/cudnn_conv_layer.cpp b/src/caffe/layers/cudnn_conv_layer.cpp
index db1a8649039..a6263167613 100644
--- a/src/caffe/layers/cudnn_conv_layer.cpp
+++ b/src/caffe/layers/cudnn_conv_layer.cpp
@@ -158,8 +158,8 @@ void CuDNNConvolutionLayer<Ftype, Btype>::LayerSetUp(
   }
 
   if (this->phase_ == TRAIN) {
-    train_tmp_weights_mem_.insert_max(Caffe::current_device(),
-        align_up<7>(this->weight_offset_ * tsize(tpmax<Btype, float>())));
+    atomic_maximum(train_tmp_weights_mem_,
+                   align_up<8>(this->weight_offset_ * tsize(tpmax<Btype, float>())));
   }
 
   // Create tensor descriptor(s) for data and corresponding convolution(s).
@@ -240,21 +240,21 @@ void CuDNNConvolutionLayer<Ftype, Btype>::AllocateFindExWorkspace() {
   GPUMemory::GetInfo(&bytes_available, &bytes_total, true);
   bytes_available = std::min(bytes_available + ws->size(), bytes_total / 2UL);
 
-  const size_t tmp_weights_size = train_tmp_weights_mem_[dev];
+  const size_t tmp_weights_size = train_tmp_weights_mem_.load();
   if (bytes_available > tmp_weights_size) {
     bytes_available -= tmp_weights_size;
   } else {
     bytes_available = 0UL;
   }
   // 2+ pages => reallocate
-  size_t req_bytes = align_down<7>(bytes_available > 2UL * PAGE_SIZE ?
+  size_t req_bytes = align_down<8>(bytes_available > 2UL * PAGE_SIZE ?
       bytes_available - 2UL * PAGE_SIZE : 0UL);
   if (static_cast<float>(req_bytes) <= PAGE_SIZE) {
     return;
   }
   int attempts = ATTEMPTS_TO_RESERVE_WS;
   while (!ws->try_reserve(req_bytes) && attempts > 0) {
-    req_bytes = align_down<7>(req_bytes > PAGE_SIZE ? req_bytes - PAGE_SIZE : 0UL);
+    req_bytes = align_down<8>(req_bytes > PAGE_SIZE ? req_bytes - PAGE_SIZE : 0UL);
     --attempts;
     LOG(INFO) << this->print_current_device() << " Retrying to allocate " << req_bytes
               << " bytes, attempts left: " << attempts;
@@ -282,20 +282,20 @@ size_t CuDNNConvolutionLayer<Ftype, Btype>::AllocateWorkspace(size_t bottom_size
 
   for (int i = 0; i < bottom_size; ++i) {
     if (this->phase_ == TRAIN) {
-      train_mem_req_all_grps_.insert_max(dev,
-          align_up<7>(workspace_bwd_data_sizes_[i]) * ws_groups());
-      train_mem_req_all_grps_.insert_max(dev,
-          align_up<7>(workspace_bwd_filter_sizes_[i]) * ws_groups());
-      train_mem_req_all_grps_.insert_max(dev,
-          align_up<7>(workspace_fwd_sizes_[i]) * ws_groups());
+      atomic_maximum(train_mem_req_all_grps_,
+                     align_up<8>(workspace_bwd_data_sizes_[i]) * ws_groups());
+      atomic_maximum(train_mem_req_all_grps_,
+                     align_up<8>(workspace_bwd_filter_sizes_[i]) * ws_groups());
+      atomic_maximum(train_mem_req_all_grps_,
+                     align_up<8>(workspace_fwd_sizes_[i]) * ws_groups());
     } else {
-      test_mem_req_all_grps_.insert_max(dev,
-          align_up<7>(workspace_fwd_sizes_[i]) * ws_groups());
+      atomic_maximum(test_mem_req_all_grps_,
+                     align_up<8>(workspace_fwd_sizes_[i]) * ws_groups());
     }
   }
   shared_ptr<GPUMemory::Workspace>& ws = GPUMemory::workspace_[dev];
   ws->safe_reserve(this->phase_ == TRAIN ?
-      train_mem_req_all_grps_[dev] : test_mem_req_all_grps_[dev]);
+      train_mem_req_all_grps_.load() : test_mem_req_all_grps_.load());
   return ws->size();
 }
 
@@ -449,6 +449,8 @@ void CuDNNConvolutionLayer<Ftype, Btype>::Reshape(
       default:
         LOG(FATAL) << "Wrong value for cudnn_convolution_algo_seeker";
     }
+  } else {
+    AllocateWorkspace(bottom.size());
   }
 }
 
@@ -462,14 +464,14 @@ void CuDNNConvolutionLayer<Ftype, Btype>::GetConvAlgo(const vector<Blob*>& botto
       CUDNN_CHECK(cudnnGetConvolutionBackwardDataAlgorithm(Caffe::cudnn_handle(0),
           bwd_filter_desc_, bwd_top_descs_[i], bwd_conv_data_descs_[i], bwd_bottom_descs_[i],
           CUDNN_CONVOLUTION_BWD_DATA_SPECIFY_WORKSPACE_LIMIT,
-          align_down<7>(workspace_bytes / ws_groups()), &bwd_data_algo_[i]));
+          align_down<8>(workspace_bytes / ws_groups()), &bwd_data_algo_[i]));
     }
     // Get forward algorithm (if not set by user)
     if (user_algos_override_[0] < 0) {
       CUDNN_CHECK(cudnnGetConvolutionForwardAlgorithm(Caffe::cudnn_handle(0),
           fwd_bottom_descs_[i], fwd_filter_desc_, fwd_conv_descs_[i], fwd_top_descs_[i],
           CUDNN_CONVOLUTION_FWD_SPECIFY_WORKSPACE_LIMIT,
-          align_down<7>(workspace_bytes / ws_groups()), &fwd_algo_[i]));
+          align_down<8>(workspace_bytes / ws_groups()), &fwd_algo_[i]));
       CUDA_CHECK(cudaStreamSynchronize(Caffe::thread_stream(0)));
     }
     // Get backward filter algorithm (if not set by user)
@@ -477,7 +479,7 @@ void CuDNNConvolutionLayer<Ftype, Btype>::GetConvAlgo(const vector<Blob*>& botto
       CUDNN_CHECK(cudnnGetConvolutionBackwardFilterAlgorithm(Caffe::cudnn_handle(0),
           bwd_bottom_descs_[i], bwd_top_descs_[i], bwd_conv_filter_descs_[i], bwd_filter_desc_,
           CUDNN_CONVOLUTION_BWD_FILTER_SPECIFY_WORKSPACE_LIMIT,
-          align_down<7>(workspace_bytes / ws_groups()), &bwd_filter_algo_[i]));
+          align_down<8>(workspace_bytes / ws_groups()), &bwd_filter_algo_[i]));
       CUDA_CHECK(cudaStreamSynchronize(Caffe::thread_stream(0)));
     }
     LOG(INFO) << Phase_Name(this->phase_)
@@ -594,11 +596,11 @@ void CuDNNConvolutionLayer<Ftype, Btype>::FindExConvAlgo(
 #endif
             workspace_fwd_sizes_[i] = fwd_results[k].memory;
             if (this->phase_ == TRAIN) {
-              train_mem_req_all_grps_.insert_max(dev,
-                  align_up<7>(workspace_fwd_sizes_[i]) * ws_groups());
+              atomic_maximum(train_mem_req_all_grps_,
+                             align_up<8>(workspace_fwd_sizes_[i]) * ws_groups());
             } else {
-              test_mem_req_all_grps_.insert_max(dev,
-                  align_up<7>(workspace_fwd_sizes_[i]) * ws_groups());
+              atomic_maximum(test_mem_req_all_grps_,
+                             align_up<8>(workspace_fwd_sizes_[i]) * ws_groups());
             }
             fwd_pseudo = is_precise(forward_math_) && !is_precise(tp<Ftype>());
             break;
@@ -625,7 +627,7 @@ void CuDNNConvolutionLayer<Ftype, Btype>::FindExConvAlgo(
       }
 #endif
       if (user_algos_override_[2] < 0) {
-        const size_t tmp_weights_size = train_tmp_weights_mem_[dev];
+        const size_t tmp_weights_size = train_tmp_weights_mem_.load();
         shared_ptr<GPUMemory::Workspace>& tmp_ws = GPUMemory::weights_workspace_[dev];
         tmp_ws->safe_reserve(tmp_weights_size);
         float algo_time = 0.F;
@@ -694,8 +696,8 @@ void CuDNNConvolutionLayer<Ftype, Btype>::FindExConvAlgo(
               }
 #endif
               workspace_bwd_filter_sizes_[i] = bwd_filter_results[k].memory;
-              train_mem_req_all_grps_.insert_max(dev,
-                  align_up<7>(workspace_bwd_filter_sizes_[i]) * ws_groups());
+              atomic_maximum(train_mem_req_all_grps_,
+                             align_up<8>(workspace_bwd_filter_sizes_[i]) * ws_groups());
               bwd_filter_pseudo = is_precise(backward_filter_math_) && !is_precise(tp<Btype>());
               bftime = bwd_filter_results[k].time;
               break;
@@ -787,8 +789,8 @@ void CuDNNConvolutionLayer<Ftype, Btype>::FindExConvAlgo(
                 }
 #endif
                 workspace_bwd_data_sizes_[i] = bwd_data_results[k].memory;
-                train_mem_req_all_grps_.insert_max(dev,
-                    align_up<7>(workspace_bwd_data_sizes_[i]) * ws_groups());
+                atomic_maximum(train_mem_req_all_grps_,
+                               align_up<8>(workspace_bwd_data_sizes_[i]) * ws_groups());
                 bwd_data_pseudo = is_precise(backward_data_math_) && !is_precise(tp<Btype>());
                 bdtime = bwd_data_results[k].time;
                 break;
@@ -843,7 +845,7 @@ void CuDNNConvolutionLayer<Ftype, Btype>::FindExConvAlgo(
 
     os << "\t(avail " << mem_fmt(available_memory) << ", req "
         << mem_fmt(this->phase_ == TRAIN ?
-            train_mem_req_all_grps_[dev] : test_mem_req_all_grps_[dev])
+            train_mem_req_all_grps_.load() : test_mem_req_all_grps_.load())
         << ")\tt: " << f_round2(ftime);
 
     if (this->phase_ == TRAIN) {
diff --git a/src/caffe/layers/cudnn_conv_layer.cu b/src/caffe/layers/cudnn_conv_layer.cu
index 6727b0e8922..5a898662692 100644
--- a/src/caffe/layers/cudnn_conv_layer.cu
+++ b/src/caffe/layers/cudnn_conv_layer.cu
@@ -12,9 +12,6 @@ template<typename Ftype, typename Btype>
 void CuDNNConvolutionLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
     const vector<Blob*>& top) {
   const Ftype* weight = this->blobs_[0]->template gpu_data<Ftype>();
-  if (fwd_count_ <= REALLOC_COUNT) {
-    AllocateWorkspace(bottom.size());
-  }
   shared_ptr<GPUMemory::Workspace>& ws = GPUMemory::workspace_[Caffe::current_device()];
   if (use_v7grouping()) {
     for (int i = 0; i < bottom.size(); ++i) {
@@ -83,9 +80,6 @@ template <typename Ftype, typename Btype>
 void CuDNNConvolutionLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
     const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
   propagate_down_ = propagate_down;
-  if (bwd_count_ <= REALLOC_COUNT) {
-    AllocateWorkspace(bottom.size());
-  }
   shared_ptr<GPUMemory::Workspace>& ws = GPUMemory::workspace_[Caffe::current_device()];
   if (use_v7grouping()) {
     // compute dE/dB = sum_c(dE/dy)
diff --git a/src/caffe/util/gpu_memory.cpp b/src/caffe/util/gpu_memory.cpp
index 2446f84c271..516f1cd141f 100644
--- a/src/caffe/util/gpu_memory.cpp
+++ b/src/caffe/util/gpu_memory.cpp
@@ -49,9 +49,9 @@ bool GPUMemory::Workspace::safe_reserve(size_t size, int device) {
   }
   size_t gpu_bytes_left, total_memory;
   GPUMemory::GetInfo(&gpu_bytes_left, &total_memory, true);
-  if (size > size_ + align_down<7>(gpu_bytes_left)) {
+  if (size > size_ + align_down<8>(gpu_bytes_left)) {
     LOG(FATAL) << "Out of memory in safe_reserve: "
-        << size << " > " << size_ << " + " << align_down<7>(gpu_bytes_left)
+        << size << " > " << size_ << " + " << align_down<8>(gpu_bytes_left)
         << " on device " << device;
     return false;
   }

From 3caaba847b027685cc46038034145f97dc3c116d Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Thu, 8 Mar 2018 23:56:21 -0800
Subject: [PATCH 24/42] SE builder

---
 models/modelBuilder/build_se_resnet.py | 135 +++++++++++++++++++++++++
 1 file changed, 135 insertions(+)
 create mode 100755 models/modelBuilder/build_se_resnet.py

diff --git a/models/modelBuilder/build_se_resnet.py b/models/modelBuilder/build_se_resnet.py
new file mode 100755
index 00000000000..623eb778f07
--- /dev/null
+++ b/models/modelBuilder/build_se_resnet.py
@@ -0,0 +1,135 @@
+#!/usr/bin/env python
+# ref: Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun -- "Deep Residual Learning for Image Recognition"
+#      https://arxiv.org/pdf/1512.03385v1.pdf
+#
+# ref: By Jie Hu, Li Shen, Gang Sun -- "Squeeze-and-Excitation Networks"
+#      https://arxiv.org/pdf/1709.01507.pdf
+
+import numpy
+from layers import *
+
+#------------------------------------------------------------------------------
+def addSEBlock(model, name, bottom, num_output, reduction=1):
+
+    model, top = addPool(model=model, name='{}.global_pool'.format(name), bottom=bottom, pool_type="AVE", kernel_size=0, stride=1, global_pooling=True)
+
+    model, top = addConvRelu(model=model, name='{}.conv_down'.format(name), bottom=top, num_output=num_output//reduction, kernel_size=1)
+    model, top = addConv(model=model, name='{}.conv_up'.format(name), bottom=top, num_output=num_output,  kernel_size=1)
+    model, top = addSigmoid(model=model, name='{}.prob'.format(name), bottom=top)
+    return model, top
+
+#------------------------------------------------------------------------------
+def addSERes(model, name , bottom, num_output, group, j, fix_dim, dilation = False):
+
+    prefix="{name}.{j}.".format(name=name,j=str(j))
+    block=""
+    block, top = addConvBnRelu(model=block, name='{}conv1'.format(prefix), bottom=bottom, num_output=num_output,
+                               kernel_size=1, group=1, stride=2 if (fix_dim and (j==1)) else 1, pad=0)
+    block, top = addConvBnRelu(model=block, name='{}conv2'.format(prefix), bottom=top, num_output=num_output,
+                               kernel_size=3, group=group, stride=1, pad=1)
+    block, top = addConvBn(model=block, name='{}conv3'.format(prefix), bottom=top, num_output=(num_output * 4),
+                               kernel_size=1, group=1, stride=1, pad=0)
+
+    block, se_top = addSEBlock(model=block, name='{}se'.format(prefix), bottom=top, num_output=(num_output*4), reduction=16)
+
+    if (j == 1):
+        block, res_top = addConvBn(model=block, name='{}skipConv'.format(prefix), bottom=bottom,
+                               num_output=(num_output * 4),
+                               kernel_size=1, group=1, stride=2 if fix_dim  else 1, pad=0)
+    else:
+        res_top = bottom
+
+
+
+    block, top = addAxpy(model=block, name='{}axpy'.format(prefix), bottom_1=se_top, bottom_2= top, bottom_3=res_top)
+
+    block, top = addActivation(model=block, name="{}relu".format(prefix), bottom=top)
+
+    model += block
+    return model, top
+
+#------------------------------------------------------------------------------
+#        [ 64, 3, 1, 0],
+
+def addResSuperBlock(model, bottom, i, num_subBlocks, num_output, group, fix_dim, net_type, dilation = False):
+    name = "res{i}".format(i=str(i))
+    model = addComment(model, comment=name)
+    top=bottom
+    for j in xrange(1, num_subBlocks + 1):
+        model, top = addSERes(model, name, bottom=top, num_output=num_output, group=group,
+                                    j=j, fix_dim=fix_dim, dilation=dilation)
+    return model, top
+
+#------------------------------------------------------------------------------
+
+def print_netconfig(netConfig):
+
+    header_str='''
+# n:  ch\t:  s\t:  g\t: skip\t:'''
+
+    num_blocks=netConfig.shape[0]
+    for i in xrange(0, num_blocks):
+        header_str += '''
+# {i}:  {num_outputs}\t:  {subblocks}\t:  {group}\t:  {skip}\t:'''.format(
+            i=str(i),
+            num_outputs=str(netConfig[i,0]),
+            subblocks  =str(netConfig[i,1]),
+            group      =str(netConfig[i,2]),
+            skip       =str(netConfig[i,3]) )
+
+    header_str += "\n"
+    return header_str
+
+#------------------------------------------------------------------------------
+
+def buildResidualModel(netConfig, name, net_type):
+
+    model = ""
+    model = addHeader(model, name=name)
+    model += print_netconfig(netConfig)
+    print(model)
+
+    train_batch = 128
+    test_batch  = 32
+    model, last_top = addData(model, train_batch, test_batch)
+
+    model, top = addConvBnRelu(model, name="conv1", bottom="data", num_output=64,
+                               kernel_size=7, group=1, stride=2, pad=3)
+    model, top = addPool(model, name="pool1", bottom=top,
+                               kernel_size=3, stride=2, pool_type="MAX")
+
+    num_blocks = len(netConfig)
+    for i in xrange(1, num_blocks+1):
+        num_output    = netConfig[i-1,0]
+        num_subBlocks = netConfig[i-1,1]
+        group = netConfig[i-1,2]
+        fix_dim = (netConfig[i-1,3]==1)
+        bottom=top
+        model, top = addResSuperBlock(model, bottom, i+1, num_subBlocks, num_output, group, fix_dim, net_type)
+
+    model, top = addPool(model, name="pool2", bottom=top, kernel_size=7, stride=1, pool_type="AVE")
+#    model, top = addDropout(model, name="dropout", bottom=top, ratio=0.5)
+    model, top = addFC(model, name="fc", bottom=top, num_output=1000, filler='msra')
+
+    fc_top = top
+    model, top = addSoftmaxLoss(model, name="loss", bottom_1=fc_top)
+    model, top = addAccuracy(model, name="accuracy/top-1", bottom_1=fc_top, k=1)
+    model, top = addAccuracy(model, name="accuracy/top-5", bottom_1=fc_top, k=5)
+
+    return model
+
+#------------------------------------------------------------------------------
+
+def main():
+
+    netConfig = numpy.matrix([
+        [ 64, 3, 1, 0],
+        [128, 4, 1, 1],
+        [256, 6, 1, 1],
+        [512, 3, 1, 1]])
+    model = buildResidualModel(netConfig, name="SEResnet50", net_type="large")
+    fp = open("se_resnet_50.prototxt", 'w')
+    fp.write(model)
+
+if __name__ == '__main__':
+    main()

From 000f31fd53164b54f58230bfd6c629823bd47945 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Sat, 10 Mar 2018 12:24:23 -0800
Subject: [PATCH 25/42] Queue depth corrected

---
 src/caffe/data_reader.cpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/caffe/data_reader.cpp b/src/caffe/data_reader.cpp
index 74005968646..4e23ced613f 100644
--- a/src/caffe/data_reader.cpp
+++ b/src/caffe/data_reader.cpp
@@ -60,7 +60,7 @@ DataReader<DatumType>::DataReader(const LayerParameter& param,
   for (size_t i = 0; i < queues_num_; ++i) {
     full_[i] = make_shared<BlockingQueue<shared_ptr<DatumType>>>();
     free_[i] = make_shared<BlockingQueue<shared_ptr<DatumType>>>();
-    for (size_t j = 0; j < queue_depth_ - 1U; ++j) {  // +1 in InternalThreadEntryN
+    for (size_t j = 0; j < queue_depth_; ++j) {
       free_[i]->push(make_shared<DatumType>());
     }
   }

From a4497a5ed2980686b7c7b390c0381ee3b90eb925 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Sat, 10 Mar 2018 13:25:13 -0800
Subject: [PATCH 26/42] Tuning

---
 src/caffe/layers/data_layer.cpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/caffe/layers/data_layer.cpp b/src/caffe/layers/data_layer.cpp
index 56985a6c73e..98447acb675 100644
--- a/src/caffe/layers/data_layer.cpp
+++ b/src/caffe/layers/data_layer.cpp
@@ -82,7 +82,7 @@ DataLayer<Ftype, Btype>::InitializePrefetch() {
     } else {
       // in this mode memory demand is O(1)
       if (batches_fit > 0) {
-        parsers_num = cache_ ? 1 : 2;
+        parsers_num = cache_ ? 1 : 3;
         transf_num = 4;
       }
     }

From 266096793f1e976734840eb03868a5d1a38fd60e Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Mon, 12 Mar 2018 15:26:51 -0700
Subject: [PATCH 27/42] GS enabling fix

---
 include/caffe/data_reader.hpp       | 4 +---
 include/caffe/net.hpp               | 4 ++--
 models/modelBuilder/build_resnet.py | 9 +++++++++
 models/modelBuilder/layers.py       | 2 +-
 src/caffe/net.cpp                   | 1 +
 src/caffe/util/gpu_memory.cpp       | 8 ++++++++
 6 files changed, 22 insertions(+), 6 deletions(-)

diff --git a/include/caffe/data_reader.hpp b/include/caffe/data_reader.hpp
index 9c2fccc48a4..cc53b5c807d 100644
--- a/include/caffe/data_reader.hpp
+++ b/include/caffe/data_reader.hpp
@@ -122,9 +122,7 @@ class DataReader : public InternalThread {
   }
 
   void free_push(size_t queue_id, const shared_ptr<DatumType>& datum) {
-    if (!sample_only_) {
-      free_[queue_id]->push(datum);
-    }
+    free_[queue_id]->push(datum);
   }
 
   shared_ptr<DatumType> free_pop(size_t queue_id) {
diff --git a/include/caffe/net.hpp b/include/caffe/net.hpp
index 1349c3c0235..d609ed0bcfe 100644
--- a/include/caffe/net.hpp
+++ b/include/caffe/net.hpp
@@ -281,7 +281,7 @@ class Net {
   }
 
   bool global_grad_scale_enabled() const {
-    return global_grad_scale_param_ > 1.F;
+    return has_global_grad_scale_param_ && global_grad_scale_param_ > 0.F;
   }
 
   void update_grad_scale();
@@ -432,7 +432,7 @@ class Net {
   size_t infer_count_;
   std::atomic_llong wgrad_sq_;
   float global_grad_scale_coeff_, global_grad_scale_param_;
-  bool global_grad_scale_adaptive_;
+  bool has_global_grad_scale_param_, global_grad_scale_adaptive_;
   /// Inner net runs on singe GPU (see recurrent layers)
   const bool inner_net_;
 
diff --git a/models/modelBuilder/build_resnet.py b/models/modelBuilder/build_resnet.py
index 49995df52f5..8effdc5e01f 100755
--- a/models/modelBuilder/build_resnet.py
+++ b/models/modelBuilder/build_resnet.py
@@ -181,5 +181,14 @@ def main():
     fp = open("resnet_152.prototxt", 'w')
     fp.write(model)
 
+    netConfig = numpy.matrix([
+        [ 64, 3, 1, 0],
+        [128, 8, 1, 1],
+        [256, 52, 1, 1],
+        [512, 3, 1, 1]])
+    model = buildResidualModel(netConfig, name="Resnet200", net_type="large")
+    fp = open("resnet_200.prototxt", 'w')
+    fp.write(model)
+
 if __name__ == '__main__':
     main()
diff --git a/models/modelBuilder/layers.py b/models/modelBuilder/layers.py
index c07a6bfa7e2..6fabb49632f 100755
--- a/models/modelBuilder/layers.py
+++ b/models/modelBuilder/layers.py
@@ -584,7 +584,7 @@ def addAccuracy(model, name, bottom_1, bottom_2="label", k=1):
   bottom: "{bottom_2}"
   top: "{top}"
   accuracy_param {{ top_k: {k} }}
-#  include {{ phase: TEST }}
+  include {{ phase: TEST }}
 }}'''.format(name=name, top=name, bottom_1=bottom_1, bottom_2=bottom_2, k=k)
     model += layer
     return model, name
diff --git a/src/caffe/net.cpp b/src/caffe/net.cpp
index 3dad99374b9..e1e7042f770 100644
--- a/src/caffe/net.cpp
+++ b/src/caffe/net.cpp
@@ -106,6 +106,7 @@ void Net::Init(const NetParameter& in_param) {
 
   wgrad_sq_.store(0LL);
   global_grad_scale_coeff_ = 1.F;
+  has_global_grad_scale_param_ = in_param.has_global_grad_scale(); 
   global_grad_scale_param_ = in_param.global_grad_scale();
   global_grad_scale_adaptive_ = in_param.global_grad_scale_adaptive();
 
diff --git a/src/caffe/util/gpu_memory.cpp b/src/caffe/util/gpu_memory.cpp
index 516f1cd141f..c8c7857f40b 100644
--- a/src/caffe/util/gpu_memory.cpp
+++ b/src/caffe/util/gpu_memory.cpp
@@ -148,6 +148,14 @@ bool GPUMemory::Manager::try_allocate(void** ptr, size_t size, int device,
     // Clean Cache & Retry logic is inside now
     status = cub_allocator_->DeviceAllocate(device, ptr, size, pstream->get(), size_allocated);
     if (status == cudaSuccess && device > INVALID_DEVICE) {
+//      if (device == 0) {
+//        DevInfo dev_info;
+//        CUDA_CHECK(cudaMemGetInfo(&dev_info.free_, &dev_info.total_));
+//        size_t allocated = dev_info.total_ - dev_info.free_;
+//        size_t pcent = 100UL* allocated / dev_info.total_;
+//        std::string bar(pcent, '*');
+//        std::cout << bar << " " << pcent << "%" << std::endl;
+//      }
       if (size_allocated > 0) {
         if (dev_info_[device].free_ < update_thresholds_[device]) {
           update_dev_info(device);

From 30af06d46510fcbf9a28889a45c89098a13bf11b Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Mon, 12 Mar 2018 20:22:56 -0700
Subject: [PATCH 28/42] gil

---
 python/caffe/_caffe.cpp      | 1 +
 python/caffe/io.py           | 2 +-
 src/caffe/util/bbox_util.cpp | 3 ++-
 tools/caffe.cpp              | 2 +-
 4 files changed, 5 insertions(+), 3 deletions(-)

diff --git a/python/caffe/_caffe.cpp b/python/caffe/_caffe.cpp
index de733e8dfe6..2c32408314b 100644
--- a/python/caffe/_caffe.cpp
+++ b/python/caffe/_caffe.cpp
@@ -150,6 +150,7 @@ shared_ptr<Net> Net_Init(string param_file, int phase) {
 
 // Net construct-and-load convenience constructor
 shared_ptr<Net> Net_Init_Load(string param_file, string pretrained_param_file, int phase) {
+  PyGILRelease gil;
   CheckFile(param_file);
   CheckFile(pretrained_param_file);
   shared_ptr<Net> net(new Net(param_file, static_cast<Phase>(phase)));
diff --git a/python/caffe/io.py b/python/caffe/io.py
index 5f933876cc0..dcb24cc31f4 100644
--- a/python/caffe/io.py
+++ b/python/caffe/io.py
@@ -330,7 +330,7 @@ def resize_image(im, new_dims, interp_order=1):
             # skimage is fast but only understands {1,3} channel images
             # in [0, 1].
             im_std = (im - im_min) / (im_max - im_min)
-            resized_std = resize(im_std, new_dims, order=interp_order)
+            resized_std = resize(im_std, new_dims, mode = 'reflect', order=interp_order)
             resized_im = resized_std * (im_max - im_min) + im_min
         else:
             # the image is a constant -- avoid divide by 0
diff --git a/src/caffe/util/bbox_util.cpp b/src/caffe/util/bbox_util.cpp
index b634ebea3bd..5bc50767c3f 100644
--- a/src/caffe/util/bbox_util.cpp
+++ b/src/caffe/util/bbox_util.cpp
@@ -1816,7 +1816,8 @@ void GetMaxScoreIndex(const Dtype* scores, const int num, const float threshold,
 
   // Sort the score pair according to the scores in descending order
   std::partial_sort(
-      score_index_vec->begin(), score_index_vec->begin() + top_k,
+      score_index_vec->begin(), score_index_vec->begin() +
+          std::min(score_index_vec->size(), (size_t)top_k),
       score_index_vec->end(), SortScorePairDescend<int>);
 
   // Keep top_k scores if needed.
diff --git a/tools/caffe.cpp b/tools/caffe.cpp
index f1cbe3c7205..48fb6269b5c 100644
--- a/tools/caffe.cpp
+++ b/tools/caffe.cpp
@@ -656,7 +656,7 @@ int main(int argc, char** argv) {
 #endif
       return GetBrewFunction(caffe::string(argv[1]))();
 #ifdef WITH_PYTHON_LAYER
-    } catch (bp::error_already_set) {
+    } catch (bp::error_already_set&) {
       PyErr_Print();
       return 1;
     }

From 4f736fde53587cca0ec31cfa864adaf67c6c3882 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Mon, 12 Mar 2018 21:54:07 -0700
Subject: [PATCH 29/42] Kernel check?

---
 include/caffe/util/device_alternate.hpp    | 3 ++-
 python/caffe/_caffe.cpp                    | 2 ++
 src/caffe/layers/detection_output_layer.cu | 3 ++-
 src/caffe/layers/normalize_layer.cpp       | 2 +-
 src/caffe/layers/normalize_layer.cu        | 7 +++++--
 5 files changed, 12 insertions(+), 5 deletions(-)

diff --git a/include/caffe/util/device_alternate.hpp b/include/caffe/util/device_alternate.hpp
index 654d8c31d68..2444bc937c2 100644
--- a/include/caffe/util/device_alternate.hpp
+++ b/include/caffe/util/device_alternate.hpp
@@ -66,7 +66,8 @@
        i += blockDim.x * gridDim.x)
 
 // CUDA: check for error after kernel execution and exit loudly if there is one.
-#define CUDA_POST_KERNEL_CHECK CUDA_CHECK(cudaPeekAtLastError())
+//#define CUDA_POST_KERNEL_CHECK CUDA_CHECK(cudaPeekAtLastError())
+#define CUDA_POST_KERNEL_CHECK
 
 namespace caffe {
 
diff --git a/python/caffe/_caffe.cpp b/python/caffe/_caffe.cpp
index 2c32408314b..27aeda3743f 100644
--- a/python/caffe/_caffe.cpp
+++ b/python/caffe/_caffe.cpp
@@ -81,6 +81,7 @@ void set_mode_cpu() {
 }
 
 void set_mode_gpu() {
+  PyGILRelease gil;
   Caffe::set_mode(Caffe::GPU);
   vector<int> gpus(1, 0);
   initialize_gpu_memory_scope(gpus);
@@ -143,6 +144,7 @@ void CheckContiguousArray(PyArrayObject* arr, string name,
 
 // Net constructor for passing phase as int
 shared_ptr<Net> Net_Init(string param_file, int phase) {
+  PyGILRelease gil;
   CheckFile(param_file);
   shared_ptr<Net> net(new Net(param_file, static_cast<Phase>(phase)));
   return net;
diff --git a/src/caffe/layers/detection_output_layer.cu b/src/caffe/layers/detection_output_layer.cu
index f7fa5e0f42d..1b02185e07f 100644
--- a/src/caffe/layers/detection_output_layer.cu
+++ b/src/caffe/layers/detection_output_layer.cu
@@ -89,7 +89,8 @@ void DetectionOutputLayer<Ftype, Btype>::Forward_gpu(
 //                SortScorePairDescend<pair<int, int> >);
 //      score_index_pairs.resize(keep_top_k_);
       std::partial_sort(
-          score_index_pairs.begin(), score_index_pairs.begin() + keep_top_k_,
+          score_index_pairs.begin(), score_index_pairs.begin() +
+              std::min(score_index_pairs.size(), (size_t)keep_top_k_),
           score_index_pairs.end(), SortScorePairDescend<pair<int, int>>);
       // Store the new indices.
       map<int, vector<int> > new_indices;
diff --git a/src/caffe/layers/normalize_layer.cpp b/src/caffe/layers/normalize_layer.cpp
index 2168f28dea6..e11ef1d9795 100644
--- a/src/caffe/layers/normalize_layer.cpp
+++ b/src/caffe/layers/normalize_layer.cpp
@@ -21,7 +21,7 @@ void NormalizeLayer<Ftype, Btype>::LayerSetUp(const vector<Blob*>& bottom,
   } else {
     norm_.Reshape(bottom[0]->num(), 1, bottom[0]->height(), bottom[0]->width());
   }
-  eps_ = norm_param.eps();
+  eps_ = std::max((Dtype)norm_param.eps(), min_dtype<Dtype>());
   int channels = bottom[0]->channels();
   int spatial_dim = bottom[0]->width() * bottom[0]->height();
   sum_channel_multiplier_.Reshape(1, channels, 1, 1);
diff --git a/src/caffe/layers/normalize_layer.cu b/src/caffe/layers/normalize_layer.cu
index 37a78a15336..fb14c588bb1 100644
--- a/src/caffe/layers/normalize_layer.cu
+++ b/src/caffe/layers/normalize_layer.cu
@@ -67,6 +67,7 @@ void NormalizeLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
   int dim = bottom[0]->count() / num;
   int spatial_dim = bottom[0]->height() * bottom[0]->width();
   int channels = bottom[0]->channels();
+  cudaStream_t stream = Caffe::thread_stream();
   for (int n = 0; n < num; ++n) {
     caffe_gpu_powx<Dtype>(dim, bottom_data, Dtype(2), buffer_data);
     if (across_spatial_) {
@@ -84,10 +85,11 @@ void NormalizeLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
       caffe_gpu_powx<Dtype>(spatial_dim, norm_data, Dtype(0.5), norm_data);
       // scale the layer
       // NOLINT_NEXT_LINE(whitespace/operators)
-      DivBsx<Dtype> <<<CAFFE_GET_BLOCKS(dim), CAFFE_CUDA_NUM_THREADS>>>(
+      DivBsx<<<CAFFE_GET_BLOCKS(dim), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
           dim, bottom_data, norm_data, channels, spatial_dim, CblasNoTrans,
           top_data);
       CUDA_POST_KERNEL_CHECK;
+      CUDA_CHECK(cudaStreamSynchronize(stream));
       norm_data += spatial_dim;
     }
     // scale the output
@@ -95,10 +97,11 @@ void NormalizeLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
       caffe_gpu_scal<Dtype>(dim, scale[0], top_data);
     } else {
       // NOLINT_NEXT_LINE(whitespace/operators)
-      MulBsx<Dtype> <<<CAFFE_GET_BLOCKS(dim), CAFFE_CUDA_NUM_THREADS>>>(
+      MulBsx<<<CAFFE_GET_BLOCKS(dim), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
           dim, top_data, scale, channels, spatial_dim, CblasTrans,
           top_data);
       CUDA_POST_KERNEL_CHECK;
+      CUDA_CHECK(cudaStreamSynchronize(stream));
     }
     bottom_data += dim;
     top_data += dim;

From 28d4d0e0420b61d44564dcd0d29302f67c642fae Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Tue, 13 Mar 2018 01:20:35 -0700
Subject: [PATCH 30/42] wip

---
 src/caffe/blob.cpp                 |  2 +-
 src/caffe/layers/flatten_layer.cpp |  4 ++++
 src/caffe/layers/permute_layer.cu  |  6 ++++--
 src/caffe/net.cpp                  | 18 ++++++++++++++++++
 4 files changed, 27 insertions(+), 3 deletions(-)

diff --git a/src/caffe/blob.cpp b/src/caffe/blob.cpp
index 522d981489d..e31463d5469 100644
--- a/src/caffe/blob.cpp
+++ b/src/caffe/blob.cpp
@@ -75,8 +75,8 @@ void Blob::ShareData(const Blob& other) {
     return;
   }
   CHECK_EQ(count(), other.count());
-  data_tensor_ = other.data_tensor_;
   CHECK(data_type() == other.data_type());
+  data_tensor_ = other.data_tensor_;
   CHECK(is_current_data_valid());
 }
 
diff --git a/src/caffe/layers/flatten_layer.cpp b/src/caffe/layers/flatten_layer.cpp
index c5025c27007..18ede195854 100644
--- a/src/caffe/layers/flatten_layer.cpp
+++ b/src/caffe/layers/flatten_layer.cpp
@@ -23,7 +23,11 @@ void FlattenLayer<Ftype, Btype>::Reshape(const vector<Blob*>& bottom,
     top_shape.push_back(bottom[0]->shape(i));
   }
   top[0]->Reshape(top_shape);
+  bottom[0]->cpu_data<Ftype>();
+  top[0]->cpu_data<Ftype>();
   CHECK_EQ(top[0]->count(), bottom[0]->count());
+  top[0]->ShareData(*bottom[0]);
+  bottom[0]->ShareDiff(*top[0]);
 }
 
 template <typename Ftype, typename Btype>
diff --git a/src/caffe/layers/permute_layer.cu b/src/caffe/layers/permute_layer.cu
index c63f4fa75e6..69c164b91a6 100644
--- a/src/caffe/layers/permute_layer.cu
+++ b/src/caffe/layers/permute_layer.cu
@@ -32,7 +32,7 @@ template <typename Ftype, typename Btype>
 void PermuteLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
       const vector<Blob*>& top) {
   if (need_permute_) {
-    Dtype* bottom_data = bottom[0]->mutable_gpu_data<Dtype>();
+    Dtype* bottom_data = const_cast<Dtype*>(bottom[0]->gpu_data<Dtype>());
     Dtype* top_data = top[0]->mutable_gpu_data<Dtype>();
     int count = top[0]->count();
     const int* permute_order = permute_order_.gpu_data();
@@ -40,10 +40,12 @@ void PermuteLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
     const int* old_steps = old_steps_.gpu_data();
     bool foward = true;
     // NOLINT_NEXT_LINE(whitespace/operators)
-    PermuteKernel<Dtype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS>>>(
+    cudaStream_t stream = Caffe::thread_stream();
+    PermuteKernel<Dtype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
         count, bottom_data, foward, permute_order, old_steps, new_steps,
         num_axes_, top_data);
     CUDA_POST_KERNEL_CHECK;
+    CUDA_CHECK(cudaStreamSynchronize(stream));
   } else {
     // If there is no need to permute, we share data to save memory.
     top[0]->ShareData(*bottom[0]);
diff --git a/src/caffe/net.cpp b/src/caffe/net.cpp
index e1e7042f770..abf6bb211c8 100644
--- a/src/caffe/net.cpp
+++ b/src/caffe/net.cpp
@@ -671,10 +671,28 @@ float Net::ForwardFromTo(int start, int end) {
   CHECK_LT(end, layers_.size());
   float loss = 0;
   for (int i = start; i <= end; ++i) {
+
     // LOG(INFO) << " ****** [Forward] (" << i << ") Layer '" << layer_names_[i];
     // << "' FT " << Type_Name(layers_[i]->forward_type())
     // << " BT " << Type_Name(layers_[i]->backward_type());
+
+    std::cout << " ****** [Forward] (" << i << ") Layer " << layer_names_[i] << std::endl;
+
+    for (int j = 0; bottom_vecs_[i].size() > 0 &&
+        j < std::min(10, bottom_vecs_[i][0]->count()); ++j) {
+      std::cout << float(bottom_vecs_[i][0]->cpu_data<float16>()[j]) << " ";
+    }
+    std::cout << std::endl;
+
     float layer_loss = layers_[i]->Forward(bottom_vecs_[i], top_vecs_[i]);
+
+    for (int j = 0; top_vecs_[i].size() > 0 &&
+        j < std::min(10, top_vecs_[i][0]->count()); ++j) {
+      std::cout << float(top_vecs_[i][0]->cpu_data<float16>()[j]) << " ";
+    }
+    std::cout << std::endl;
+
+
     loss += layer_loss;
     if (debug_info_) { ForwardDebugInfo(i); }
   }

From 3a9fcec91b7918fce80fa87d621774bb05ebf457 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Tue, 13 Mar 2018 20:30:34 -0700
Subject: [PATCH 31/42] SSD in PFP16

---
 include/caffe/data_reader.hpp                |  4 +-
 include/caffe/layers/multibox_loss_layer.hpp | 12 +--
 include/caffe/util/device_alternate.hpp      |  3 +-
 models/VGGNet/coco/SSD_300x300/test.prototxt |  2 +-
 src/caffe/blob.cpp                           |  2 +-
 src/caffe/layers/multibox_loss_layer.cpp     | 82 +++++++++++---------
 src/caffe/layers/normalize_layer.cu          | 71 +++++++++++------
 src/caffe/layers/permute_layer.cu            | 34 ++++++--
 src/caffe/net.cpp                            | 18 -----
 src/caffe/util/bbox_util.cpp                 |  6 +-
 10 files changed, 137 insertions(+), 97 deletions(-)

diff --git a/include/caffe/data_reader.hpp b/include/caffe/data_reader.hpp
index cc53b5c807d..9c2fccc48a4 100644
--- a/include/caffe/data_reader.hpp
+++ b/include/caffe/data_reader.hpp
@@ -122,7 +122,9 @@ class DataReader : public InternalThread {
   }
 
   void free_push(size_t queue_id, const shared_ptr<DatumType>& datum) {
-    free_[queue_id]->push(datum);
+    if (!sample_only_) {
+      free_[queue_id]->push(datum);
+    }
   }
 
   shared_ptr<DatumType> free_pop(size_t queue_id) {
diff --git a/include/caffe/layers/multibox_loss_layer.hpp b/include/caffe/layers/multibox_loss_layer.hpp
index e6295469189..d7236565a91 100644
--- a/include/caffe/layers/multibox_loss_layer.hpp
+++ b/include/caffe/layers/multibox_loss_layer.hpp
@@ -57,11 +57,11 @@ class MultiBoxLossLayer : public LossLayer<Ftype, Btype> {
   // top vector holder used in Forward function.
   vector<Blob*> loc_top_vec_;
   // blob which stores the matched location prediction.
-  TBlob<Dtype> loc_pred_;
+  shared_ptr<Blob> loc_pred_;
   // blob which stores the corresponding matched ground truth.
-  TBlob<Dtype> loc_gt_;
+  shared_ptr<Blob> loc_gt_;
   // localization loss.
-  TBlob<Dtype> loc_loss_;
+  shared_ptr<Blob> loc_loss_;
 
   // The internal confidence loss layer.
   shared_ptr<LayerBase> conf_loss_layer_;
@@ -71,11 +71,11 @@ class MultiBoxLossLayer : public LossLayer<Ftype, Btype> {
   // top vector holder used in Forward function.
   vector<Blob*> conf_top_vec_;
   // blob which stores the confidence prediction.
-  TBlob<Dtype> conf_pred_;
+  shared_ptr<Blob> conf_pred_;
   // blob which stores the corresponding ground truth label.
-  TBlob<Dtype> conf_gt_;
+  shared_ptr<Blob> conf_gt_;
   // confidence loss.
-  TBlob<Dtype> conf_loss_;
+  shared_ptr<Blob> conf_loss_;
 
   MultiBoxLossParameter multibox_loss_param_;
   int num_classes_;
diff --git a/include/caffe/util/device_alternate.hpp b/include/caffe/util/device_alternate.hpp
index 2444bc937c2..654d8c31d68 100644
--- a/include/caffe/util/device_alternate.hpp
+++ b/include/caffe/util/device_alternate.hpp
@@ -66,8 +66,7 @@
        i += blockDim.x * gridDim.x)
 
 // CUDA: check for error after kernel execution and exit loudly if there is one.
-//#define CUDA_POST_KERNEL_CHECK CUDA_CHECK(cudaPeekAtLastError())
-#define CUDA_POST_KERNEL_CHECK
+#define CUDA_POST_KERNEL_CHECK CUDA_CHECK(cudaPeekAtLastError())
 
 namespace caffe {
 
diff --git a/models/VGGNet/coco/SSD_300x300/test.prototxt b/models/VGGNet/coco/SSD_300x300/test.prototxt
index 56b530e25a1..bd7c91b0041 100644
--- a/models/VGGNet/coco/SSD_300x300/test.prototxt
+++ b/models/VGGNet/coco/SSD_300x300/test.prototxt
@@ -22,7 +22,7 @@ layer {
   }
   data_param {
     source: "examples/coco/coco_minival_lmdb"
-    batch_size: 32 #8
+    batch_size: 128 #8
     backend: LMDB
   }
   annotated_data_param {
diff --git a/src/caffe/blob.cpp b/src/caffe/blob.cpp
index e31463d5469..522d981489d 100644
--- a/src/caffe/blob.cpp
+++ b/src/caffe/blob.cpp
@@ -75,8 +75,8 @@ void Blob::ShareData(const Blob& other) {
     return;
   }
   CHECK_EQ(count(), other.count());
-  CHECK(data_type() == other.data_type());
   data_tensor_ = other.data_tensor_;
+  CHECK(data_type() == other.data_type());
   CHECK(is_current_data_valid());
 }
 
diff --git a/src/caffe/layers/multibox_loss_layer.cpp b/src/caffe/layers/multibox_loss_layer.cpp
index 62a9b799f59..951b4a54fff 100644
--- a/src/caffe/layers/multibox_loss_layer.cpp
+++ b/src/caffe/layers/multibox_loss_layer.cpp
@@ -62,12 +62,15 @@ void MultiBoxLossLayer<Ftype, Btype>::LayerSetUp(const vector<Blob*>& bottom,
   // fake shape.
   vector<int> loc_shape(1, 1);
   loc_shape.push_back(4);
-  loc_pred_.Reshape(loc_shape);
-  loc_gt_.Reshape(loc_shape);
-  loc_bottom_vec_.push_back(&loc_pred_);
-  loc_bottom_vec_.push_back(&loc_gt_);
-  loc_loss_.Reshape(loss_shape);
-  loc_top_vec_.push_back(&loc_loss_);
+  loc_pred_ = Blob::create<Dtype>();
+  loc_pred_->Reshape(loc_shape);
+  loc_gt_ = Blob::create<Dtype>();
+  loc_gt_->Reshape(loc_shape);
+  loc_bottom_vec_.push_back(loc_pred_.get());
+  loc_bottom_vec_.push_back(loc_gt_.get());
+  loc_loss_ = Blob::create<Dtype>();
+  loc_loss_->Reshape(loss_shape);
+  loc_top_vec_.push_back(loc_loss_.get());
   if (loc_loss_type_ == MultiBoxLossParameter_LocLossType_L2) {
     LayerParameter layer_param;
     layer_param.set_name(this->layer_param_.name() + "_l2_loc");
@@ -87,10 +90,11 @@ void MultiBoxLossLayer<Ftype, Btype>::LayerSetUp(const vector<Blob*>& bottom,
   }
   // Set up confidence loss layer.
   conf_loss_type_ = multibox_loss_param.conf_loss_type();
-  conf_bottom_vec_.push_back(&conf_pred_);
-  conf_bottom_vec_.push_back(&conf_gt_);
-  conf_loss_.Reshape(loss_shape);
-  conf_top_vec_.push_back(&conf_loss_);
+  conf_pred_ = Blob::create<Dtype>();
+  conf_gt_ = Blob::create<Dtype>();
+  conf_loss_ = Blob::create<Dtype>();
+  conf_loss_->Reshape(loss_shape);
+  conf_top_vec_.push_back(conf_loss_.get());
   if (conf_loss_type_ == MultiBoxLossParameter_ConfLossType_SOFTMAX) {
     CHECK_GE(background_label_id_, 0)
         << "background_label_id should be within [0, num_classes) for Softmax.";
@@ -106,9 +110,11 @@ void MultiBoxLossLayer<Ftype, Btype>::LayerSetUp(const vector<Blob*>& bottom,
     softmax_param->set_axis(1);
     // Fake reshape.
     vector<int> conf_shape(1, 1);
-    conf_gt_.Reshape(conf_shape);
+    conf_gt_->Reshape(conf_shape);
     conf_shape.push_back(num_classes_);
-    conf_pred_.Reshape(conf_shape);
+    conf_pred_->Reshape(conf_shape);
+    conf_bottom_vec_.push_back(conf_pred_.get());
+    conf_bottom_vec_.push_back(conf_gt_.get());
     conf_loss_layer_ = LayerRegistry::CreateLayer(layer_param, this->parent_rank());
     conf_loss_layer_->SetUp(conf_bottom_vec_, conf_top_vec_);
   } else if (conf_loss_type_ == MultiBoxLossParameter_ConfLossType_LOGISTIC) {
@@ -119,8 +125,10 @@ void MultiBoxLossLayer<Ftype, Btype>::LayerSetUp(const vector<Blob*>& bottom,
     // Fake reshape.
     vector<int> conf_shape(1, 1);
     conf_shape.push_back(num_classes_);
-    conf_gt_.Reshape(conf_shape);
-    conf_pred_.Reshape(conf_shape);
+    conf_gt_->Reshape(conf_shape);
+    conf_pred_->Reshape(conf_shape);
+    conf_bottom_vec_.push_back(conf_pred_.get());
+    conf_bottom_vec_.push_back(conf_gt_.get());
     conf_loss_layer_ = LayerRegistry::CreateLayer(layer_param, this->parent_rank());
     conf_loss_layer_->SetUp(conf_bottom_vec_, conf_top_vec_);
   } else {
@@ -184,17 +192,17 @@ void MultiBoxLossLayer<Ftype, Btype>::Forward_cpu(const vector<Blob*>& bottom,
     vector<int> loc_shape(2);
     loc_shape[0] = 1;
     loc_shape[1] = num_matches_ * 4;
-    loc_pred_.Reshape(loc_shape);
-    loc_gt_.Reshape(loc_shape);
-    Dtype* loc_pred_data = loc_pred_.mutable_cpu_data();
-    Dtype* loc_gt_data = loc_gt_.mutable_cpu_data();
+    loc_pred_->Reshape(loc_shape);
+    loc_gt_->Reshape(loc_shape);
+    Dtype* loc_pred_data = loc_pred_->mutable_cpu_data<Dtype>();
+    Dtype* loc_gt_data = loc_gt_->mutable_cpu_data<Dtype>();
     EncodeLocPrediction(all_loc_preds, all_gt_bboxes, all_match_indices_,
                         prior_bboxes, prior_variances, multibox_loss_param_,
                         loc_pred_data, loc_gt_data);
     loc_loss_layer_->Reshape(loc_bottom_vec_, loc_top_vec_);
     loc_loss_layer_->Forward(loc_bottom_vec_, loc_top_vec_);
   } else {
-    loc_loss_.mutable_cpu_data()[0] = 0;
+    loc_loss_->mutable_cpu_data<Dtype>()[0] = 0;
   }
 
   // Form data to pass on to conf_loss_layer_.
@@ -208,34 +216,34 @@ void MultiBoxLossLayer<Ftype, Btype>::Forward_cpu(const vector<Blob*>& bottom,
     vector<int> conf_shape;
     if (conf_loss_type_ == MultiBoxLossParameter_ConfLossType_SOFTMAX) {
       conf_shape.push_back(num_conf_);
-      conf_gt_.Reshape(conf_shape);
+      conf_bottom_vec_[1]->Reshape(conf_shape);
       conf_shape.push_back(num_classes_);
-      conf_pred_.Reshape(conf_shape);
+      conf_bottom_vec_[0]->Reshape(conf_shape);
     } else if (conf_loss_type_ == MultiBoxLossParameter_ConfLossType_LOGISTIC) {
       conf_shape.push_back(1);
       conf_shape.push_back(num_conf_);
       conf_shape.push_back(num_classes_);
-      conf_gt_.Reshape(conf_shape);
-      conf_pred_.Reshape(conf_shape);
+      conf_bottom_vec_[0]->Reshape(conf_shape);
+      conf_bottom_vec_[1]->Reshape(conf_shape);
     } else {
       LOG(FATAL) << "Unknown confidence loss type.";
     }
     if (!do_neg_mining_) {
       // Consider all scores.
       // Share data and diff with bottom[1].
-      CHECK_EQ(conf_pred_.count(), bottom[1]->count());
-      conf_pred_.ShareData(*(bottom[1]));
+      CHECK_EQ(conf_pred_->count(), bottom[1]->count());
+      conf_pred_->ShareData(*(bottom[1]));
     }
-    Dtype* conf_pred_data = conf_pred_.mutable_cpu_data();
-    Dtype* conf_gt_data = conf_gt_.mutable_cpu_data();
-    caffe_set(conf_gt_.count(), Dtype(background_label_id_), conf_gt_data);
+    Dtype* conf_pred_data = conf_pred_->mutable_cpu_data<Dtype>();
+    Dtype* conf_gt_data = conf_gt_->mutable_cpu_data<Dtype>();
+    caffe_set(conf_gt_->count(), Dtype(background_label_id_), conf_gt_data);
     EncodeConfPrediction(conf_data, num_, num_priors_, multibox_loss_param_,
                          all_match_indices_, all_neg_indices_, all_gt_bboxes,
                          conf_pred_data, conf_gt_data);
     conf_loss_layer_->Reshape(conf_bottom_vec_, conf_top_vec_);
     conf_loss_layer_->Forward(conf_bottom_vec_, conf_top_vec_);
   } else {
-    conf_loss_.mutable_cpu_data()[0] = 0;
+    conf_loss_->mutable_cpu_data<Dtype>()[0] = 0;
   }
 
   top[0]->mutable_cpu_data<Dtype>()[0] = 0;
@@ -243,12 +251,12 @@ void MultiBoxLossLayer<Ftype, Btype>::Forward_cpu(const vector<Blob*>& bottom,
     Dtype normalizer = LossLayer<Ftype, Btype>::GetNormalizer(
         normalization_, num_, num_priors_, num_matches_);
     top[0]->mutable_cpu_data<Dtype>()[0] +=
-        loc_weight_ * loc_loss_.cpu_data()[0] / normalizer;
+        loc_weight_ * loc_loss_->cpu_data<Dtype>()[0] / normalizer;
   }
   if (this->layer_param_.propagate_down(1)) {
     Dtype normalizer = LossLayer<Ftype, Btype>::GetNormalizer(
         normalization_, num_, num_priors_, num_matches_);
-    top[0]->mutable_cpu_data<Dtype>()[0] += conf_loss_.cpu_data()[0] / normalizer;
+    top[0]->mutable_cpu_data<Dtype>()[0] += conf_loss_->cpu_data<Dtype>()[0] / normalizer;
   }
 }
 
@@ -281,9 +289,9 @@ void MultiBoxLossLayer<Ftype, Btype>::Backward_cpu(const vector<Blob*>& top,
       Dtype normalizer = LossLayer<Ftype, Btype>::GetNormalizer(
           normalization_, num_, num_priors_, num_matches_);
       Dtype loss_weight = top[0]->cpu_diff<Dtype>()[0] / normalizer;
-      caffe_scal(loc_pred_.count(), loss_weight, loc_pred_.mutable_cpu_diff());
+      caffe_scal(loc_pred_->count(), loss_weight, loc_pred_->mutable_cpu_diff<Dtype>());
       // Copy gradient back to bottom[0].
-      const Dtype* loc_pred_diff = loc_pred_.cpu_diff();
+      const Dtype* loc_pred_diff = loc_pred_->cpu_diff<Dtype>();
       int count = 0;
       for (int i = 0; i < num_; ++i) {
         for (map<int, vector<int> >::iterator it =
@@ -322,10 +330,10 @@ void MultiBoxLossLayer<Ftype, Btype>::Backward_cpu(const vector<Blob*>& top,
       Dtype normalizer = LossLayer<Ftype, Btype>::GetNormalizer(
           normalization_, num_, num_priors_, num_matches_);
       Dtype loss_weight = top[0]->cpu_diff<Dtype>()[0] / normalizer;
-      caffe_scal(conf_pred_.count(), loss_weight,
-                 conf_pred_.mutable_cpu_diff());
+      caffe_scal(conf_pred_->count(), loss_weight,
+                 conf_pred_->mutable_cpu_diff<Dtype>());
       // Copy gradient back to bottom[1].
-      const Dtype* conf_pred_diff = conf_pred_.cpu_diff();
+      const Dtype* conf_pred_diff = conf_pred_->cpu_diff<Dtype>();
       if (do_neg_mining_) {
         int count = 0;
         for (int i = 0; i < num_; ++i) {
@@ -359,7 +367,7 @@ void MultiBoxLossLayer<Ftype, Btype>::Backward_cpu(const vector<Blob*>& top,
         }
       } else {
         // The diff is already computed and stored.
-        bottom[1]->ShareDiff(conf_pred_);
+        bottom[1]->ShareDiff(*conf_pred_);
       }
     }
   }
diff --git a/src/caffe/layers/normalize_layer.cu b/src/caffe/layers/normalize_layer.cu
index fb14c588bb1..d880bebedcd 100644
--- a/src/caffe/layers/normalize_layer.cu
+++ b/src/caffe/layers/normalize_layer.cu
@@ -1,9 +1,9 @@
 #include <algorithm>
 #include <cfloat>
 #include <vector>
+#include <device_launch_parameters.h>
 
-#include "thrust/device_vector.h"
-
+#include "caffe/util/half.cuh"
 #include "caffe/filler.hpp"
 #include "caffe/layers/normalize_layer.hpp"
 #include "caffe/util/math_functions.hpp"
@@ -13,27 +13,32 @@ namespace caffe {
 // divid a matrix with vector
 template <typename Dtype>
 __global__ void DivBsx(const int nthreads, const Dtype* A,
-    const Dtype* v, const int rows, const int cols, const CBLAS_TRANSPOSE trans,
+    const Dtype* v, const int rows, const int cols,
     Dtype* B) {
   CUDA_KERNEL_LOOP(index, nthreads) {
-    int c = index % cols;
-    int r = (index / cols) % rows;
-    if (trans == CblasNoTrans) {
-      B[index] = A[index] / v[c];
-    } else {
-      B[index] = A[index] / v[r];
-    }
+    B[index] = A[index] / v[index % cols];
+  }
+}
+
+template <>
+__global__ void DivBsx<float16>(const int nthreads, const float16* A,
+                       const float16* v, const int rows, const int cols, float16* B) {
+  CUDA_KERNEL_LOOP(index, nthreads) {
+    const half* ah = reinterpret_cast<const half*>(A);
+    const half* vh = reinterpret_cast<const half*>(v);
+    half* bh = reinterpret_cast<half*>(B);
+    bh[index] = __hdiv(ah[index], vh[index % cols]);
   }
 }
 
 template <typename Dtype>
 __global__ void MulBsx(const int nthreads, const Dtype* A,
-    const Dtype* v, const int rows, const int cols, const CBLAS_TRANSPOSE trans,
+    const Dtype* v, const int rows, const int cols, const bool notrans,
     Dtype* B) {
   CUDA_KERNEL_LOOP(index, nthreads) {
     int c = index % cols;
     int r = (index / cols) % rows;
-    if (trans == CblasNoTrans) {
+    if (notrans) {
       B[index] = A[index] * v[c];
     } else {
       B[index] = A[index] * v[r];
@@ -41,6 +46,20 @@ __global__ void MulBsx(const int nthreads, const Dtype* A,
   }
 }
 
+template <>
+__global__ void MulBsx<float16>(const int nthreads, const float16* A, const float16* v,
+                                const int rows, const int cols, const bool notrans, float16* B) {
+  CUDA_KERNEL_LOOP(index, nthreads) {
+    int c = index % cols;
+    int r = (index / cols) % rows;
+    const half* ah = reinterpret_cast<const half*>(A);
+    const half* vh = reinterpret_cast<const half*>(v);
+    half* bh = reinterpret_cast<half*>(B);
+    bh[index] = __hmul(ah[index], vh[notrans ? c : r]);
+  }
+}
+
+
 template <typename Ftype, typename Btype>
 void NormalizeLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
     const vector<Blob*>& top) {
@@ -86,8 +105,7 @@ void NormalizeLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
       // scale the layer
       // NOLINT_NEXT_LINE(whitespace/operators)
       DivBsx<<<CAFFE_GET_BLOCKS(dim), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
-          dim, bottom_data, norm_data, channels, spatial_dim, CblasNoTrans,
-          top_data);
+          dim, bottom_data, norm_data, channels, spatial_dim, top_data);
       CUDA_POST_KERNEL_CHECK;
       CUDA_CHECK(cudaStreamSynchronize(stream));
       norm_data += spatial_dim;
@@ -98,7 +116,7 @@ void NormalizeLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
     } else {
       // NOLINT_NEXT_LINE(whitespace/operators)
       MulBsx<<<CAFFE_GET_BLOCKS(dim), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
-          dim, top_data, scale, channels, spatial_dim, CblasTrans,
+          dim, top_data, scale, channels, spatial_dim, false,
           top_data);
       CUDA_POST_KERNEL_CHECK;
       CUDA_CHECK(cudaStreamSynchronize(stream));
@@ -163,6 +181,7 @@ void NormalizeLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
 
   // Propagate to bottom
   if (propagate_down[0]) {
+    cudaStream_t stream = Caffe::thread_stream();
     for (int n = 0; n < num; ++n) {
       if (across_spatial_) {
         Dtype a;
@@ -180,35 +199,38 @@ void NormalizeLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
                               buffer_spatial);
         // scale botom_diff
         // NOLINT_NEXT_LINE(whitespace/operators)
-        MulBsx<Dtype> <<<CAFFE_GET_BLOCKS(dim), CAFFE_CUDA_NUM_THREADS>>>(
+        MulBsx<<<CAFFE_GET_BLOCKS(dim), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
             dim, bottom_data, buffer_spatial, channels, spatial_dim,
-            CblasNoTrans, bottom_diff);
+            true, bottom_diff);
         CUDA_POST_KERNEL_CHECK;
+        CUDA_CHECK(cudaStreamSynchronize(stream));
         // divide by square of norm
         caffe_gpu_powx(spatial_dim, norm_data, Dtype(2), buffer_spatial);
         // NOLINT_NEXT_LINE(whitespace/operators)
-        DivBsx<Dtype> <<<CAFFE_GET_BLOCKS(dim), CAFFE_CUDA_NUM_THREADS>>>(
+        DivBsx<Dtype> <<<CAFFE_GET_BLOCKS(dim), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
             dim, bottom_diff, buffer_spatial, channels, spatial_dim,
-            CblasNoTrans, bottom_diff);
+            bottom_diff);
         CUDA_POST_KERNEL_CHECK;
+        CUDA_CHECK(cudaStreamSynchronize(stream));
         caffe_gpu_sub(dim, top_diff, bottom_diff, bottom_diff);
         // divide by norm
         // NOLINT_NEXT_LINE(whitespace/operators)
-        DivBsx<Dtype> <<<CAFFE_GET_BLOCKS(dim), CAFFE_CUDA_NUM_THREADS>>>(
-            dim, bottom_diff, norm_data, channels, spatial_dim, CblasNoTrans,
+        DivBsx<Dtype> <<<CAFFE_GET_BLOCKS(dim), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
+            dim, bottom_diff, norm_data, channels, spatial_dim,
             bottom_diff);
         CUDA_POST_KERNEL_CHECK;
         norm_data += spatial_dim;
+        CUDA_CHECK(cudaStreamSynchronize(stream));
       }
       // scale the diff
       if (channel_shared_) {
         caffe_gpu_scal(dim, scale[0], bottom_diff);
       } else {
         // NOLINT_NEXT_LINE(whitespace/operators)
-        MulBsx<Dtype> <<<CAFFE_GET_BLOCKS(dim), CAFFE_CUDA_NUM_THREADS>>>(
-            dim, bottom_diff, scale, channels, spatial_dim, CblasTrans,
-            bottom_diff);
+        MulBsx<<<CAFFE_GET_BLOCKS(dim), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
+            dim, bottom_diff, scale, channels, spatial_dim, false, bottom_diff);
         CUDA_POST_KERNEL_CHECK;
+        CUDA_CHECK(cudaStreamSynchronize(stream));
       }
       bottom_data += dim;
       top_diff += dim;
@@ -219,5 +241,4 @@ void NormalizeLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
 
 INSTANTIATE_LAYER_GPU_FUNCS_FB(NormalizeLayer);
 
-
 }  // namespace caffe
diff --git a/src/caffe/layers/permute_layer.cu b/src/caffe/layers/permute_layer.cu
index 69c164b91a6..fbb410c42c1 100644
--- a/src/caffe/layers/permute_layer.cu
+++ b/src/caffe/layers/permute_layer.cu
@@ -1,6 +1,7 @@
 #include <algorithm>
 #include <cfloat>
 #include <vector>
+#include <device_launch_parameters.h>
 
 #include "caffe/layers/permute_layer.hpp"
 #include "caffe/util/math_functions.hpp"
@@ -9,9 +10,9 @@ namespace caffe {
 
 template <typename Dtype>
 __global__ void PermuteKernel(const int nthreads,
-    Dtype* const bottom_data, const bool forward, const int* permute_order,
+    Dtype* bottom_data, const bool forward, const int* permute_order,
     const int* old_steps, const int* new_steps, const int num_axes,
-    Dtype* const top_data) {
+    Dtype* top_data) {
   CUDA_KERNEL_LOOP(index, nthreads) {
     int temp_idx = index;
     int old_idx = 0;
@@ -28,6 +29,28 @@ __global__ void PermuteKernel(const int nthreads,
   }
 }
 
+template <>
+__global__ void PermuteKernel<float16>(const int nthreads, float16* bottom_data,
+                                       const bool forward, const int* permute_order,
+                                       const int* old_steps, const int* new_steps,
+                                       const int num_axes, float16* top_data) {
+  CUDA_KERNEL_LOOP(index, nthreads) {
+    int temp_idx = index;
+    int old_idx = 0;
+    for (int i = 0; i < num_axes; ++i) {
+      int order = permute_order[i];
+      old_idx += (temp_idx / new_steps[i]) * old_steps[order];
+      temp_idx %= new_steps[i];
+    }
+    if (forward) {
+      top_data[index] = bottom_data[old_idx];
+    } else {
+      bottom_data[old_idx] = top_data[index];
+    }
+  }
+}
+
+
 template <typename Ftype, typename Btype>
 void PermuteLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
       const vector<Blob*>& top) {
@@ -41,7 +64,7 @@ void PermuteLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
     bool foward = true;
     // NOLINT_NEXT_LINE(whitespace/operators)
     cudaStream_t stream = Caffe::thread_stream();
-    PermuteKernel<Dtype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
+    PermuteKernel<<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
         count, bottom_data, foward, permute_order, old_steps, new_steps,
         num_axes_, top_data);
     CUDA_POST_KERNEL_CHECK;
@@ -52,7 +75,6 @@ void PermuteLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
   }
 }
 
-
 template <typename Ftype, typename Btype>
 void PermuteLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
       const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
@@ -64,11 +86,13 @@ void PermuteLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
     const int* new_steps = new_steps_.gpu_data();
     const int* old_steps = old_steps_.gpu_data();
     bool foward = false;
+    cudaStream_t stream = Caffe::thread_stream();
     // NOLINT_NEXT_LINE(whitespace/operators)
-    PermuteKernel<Dtype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS>>>(
+    PermuteKernel<Dtype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
         count, bottom_diff, foward, permute_order, old_steps, new_steps,
         num_axes_, top_diff);
     CUDA_POST_KERNEL_CHECK;
+    CUDA_CHECK(cudaStreamSynchronize(stream));
   } else {
     // If there is no need to permute, we share diff to save memory.
     bottom[0]->ShareDiff(*top[0]);
diff --git a/src/caffe/net.cpp b/src/caffe/net.cpp
index abf6bb211c8..e1e7042f770 100644
--- a/src/caffe/net.cpp
+++ b/src/caffe/net.cpp
@@ -671,28 +671,10 @@ float Net::ForwardFromTo(int start, int end) {
   CHECK_LT(end, layers_.size());
   float loss = 0;
   for (int i = start; i <= end; ++i) {
-
     // LOG(INFO) << " ****** [Forward] (" << i << ") Layer '" << layer_names_[i];
     // << "' FT " << Type_Name(layers_[i]->forward_type())
     // << " BT " << Type_Name(layers_[i]->backward_type());
-
-    std::cout << " ****** [Forward] (" << i << ") Layer " << layer_names_[i] << std::endl;
-
-    for (int j = 0; bottom_vecs_[i].size() > 0 &&
-        j < std::min(10, bottom_vecs_[i][0]->count()); ++j) {
-      std::cout << float(bottom_vecs_[i][0]->cpu_data<float16>()[j]) << " ";
-    }
-    std::cout << std::endl;
-
     float layer_loss = layers_[i]->Forward(bottom_vecs_[i], top_vecs_[i]);
-
-    for (int j = 0; top_vecs_[i].size() > 0 &&
-        j < std::min(10, top_vecs_[i][0]->count()); ++j) {
-      std::cout << float(top_vecs_[i][0]->cpu_data<float16>()[j]) << " ";
-    }
-    std::cout << std::endl;
-
-
     loss += layer_loss;
     if (debug_info_) { ForwardDebugInfo(i); }
   }
diff --git a/src/caffe/util/bbox_util.cpp b/src/caffe/util/bbox_util.cpp
index 5bc50767c3f..5c9ce3601a8 100644
--- a/src/caffe/util/bbox_util.cpp
+++ b/src/caffe/util/bbox_util.cpp
@@ -1070,8 +1070,12 @@ void GetGroundTruth(const Dtype* gt_data, const int num_gt,
       continue;
     }
     int label = gt_data[start_idx + 1];
-    CHECK_NE(background_label_id, label)
+    if (is_precise<Dtype>()) {  // round float16 to int?
+      CHECK_NE(background_label_id, label)
         << "Found background label in the dataset.";
+    } else if (background_label_id == label) {
+      continue;
+    }
     bool difficult = static_cast<bool>(gt_data[start_idx + 7]);
     if (!use_difficult_gt && difficult) {
       // Skip reading difficult ground truth.

From 80ffe9d674e1b97a526cc1c06af03fbb70dad2a4 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Tue, 13 Mar 2018 20:36:55 -0700
Subject: [PATCH 32/42] Lint

---
 src/caffe/layers/axpy_layer.cpp   | 14 +++++++-------
 src/caffe/layers/axpy_layer.cu    | 11 +++++++----
 src/caffe/layers/permute_layer.cu |  2 +-
 src/caffe/net.cpp                 |  2 +-
 4 files changed, 16 insertions(+), 13 deletions(-)

diff --git a/src/caffe/layers/axpy_layer.cpp b/src/caffe/layers/axpy_layer.cpp
index a672f0ffc4a..476af93f5bd 100644
--- a/src/caffe/layers/axpy_layer.cpp
+++ b/src/caffe/layers/axpy_layer.cpp
@@ -18,7 +18,7 @@ void AxpyLayer<Ftype, Btype>::Reshape(const vector<Blob*>& bottom,
     CHECK_EQ(bottom[0]->shape(2), 1);
     CHECK_EQ(bottom[0]->shape(3), 1);
   }
-  CHECK(bottom[1]->shape() == bottom[2]->shape());  
+  CHECK(bottom[1]->shape() == bottom[2]->shape());
   top[0]->ReshapeLike(*bottom[1]);
   int spatial_dim = bottom[1]->count(2);
   if (spatial_sum_multiplier_.count() < spatial_dim) {
@@ -40,9 +40,9 @@ void AxpyLayer<Ftype, Btype>::Forward_cpu(const vector<Blob*>& bottom,
   for (int n = 0; n < bottom[1]->num(); ++n) {
     for (int c = 0; c < channel_dim; ++c) {
       int scale_offset = n * channel_dim + c;
-      caffe_axpy(spatial_dim, scale_data[scale_offset], 
-          x_data + scale_offset * spatial_dim, 
-          top_data + scale_offset * spatial_dim);  
+      caffe_axpy(spatial_dim, scale_data[scale_offset],
+          x_data + scale_offset * spatial_dim,
+          top_data + scale_offset * spatial_dim);
     }
   }
 }
@@ -73,9 +73,9 @@ void AxpyLayer<Ftype, Btype>::Backward_cpu(const vector<Blob*>& top,
     for (int n = 0; n < bottom[1]->num(); ++n) {
       for (int c = 0; c < channel_dim; ++c) {
         int scale_offset = n * channel_dim + c;
-        caffe_cpu_scale(spatial_dim, scale_data[scale_offset], 
-            top_diff + scale_offset * spatial_dim, 
-            x_diff + scale_offset * spatial_dim);  
+        caffe_cpu_scale(spatial_dim, scale_data[scale_offset],
+            top_diff + scale_offset * spatial_dim,
+            x_diff + scale_offset * spatial_dim);
       }
     }
   }
diff --git a/src/caffe/layers/axpy_layer.cu b/src/caffe/layers/axpy_layer.cu
index 31bddbe1094..79ed130745e 100644
--- a/src/caffe/layers/axpy_layer.cu
+++ b/src/caffe/layers/axpy_layer.cu
@@ -13,7 +13,7 @@
 namespace caffe {
 
 template <typename Dtype>
-__global__ void AxpyForward(const int count, const int spatial_dim, 
+__global__ void AxpyForward(const int count, const int spatial_dim,
     const Dtype* scale_data, const Dtype* x_data, const Dtype* y_data,
     Dtype* out_data) {
   CUDA_KERNEL_LOOP(index, count) {
@@ -31,13 +31,14 @@ void AxpyLayer<Ftype, Btype>::Forward_gpu(
   Ftype* out_data = top[0]->mutable_gpu_data<Ftype>();
   const int count = bottom[1]->count();
   cudaStream_t stream = Caffe::thread_stream();
+  // NOLINT_NEXT_LINE(whitespace/operators)
   AxpyForward<Ftype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
       count, bottom[1]->count(2), scale_data, x_data, y_data, out_data);
   CUDA_CHECK(cudaStreamSynchronize(stream));
 }
 
 template <typename Dtype>
-__global__ void AxpyBackwardScale(const int outer_num, const int spatial_dim, 
+__global__ void AxpyBackwardScale(const int outer_num, const int spatial_dim,
     const Dtype* x_data, const Dtype* top_diff, Dtype* scale_diff) {
   __shared__ char axpy_buffer[CAFFE_CUDA_NUM_THREADS * sizeof(Dtype)];
   Dtype* buffer = reinterpret_cast<Dtype*>(axpy_buffer);
@@ -64,7 +65,7 @@ __global__ void AxpyBackwardScale(const int outer_num, const int spatial_dim,
 }
 
 template <typename Dtype>
-__global__ void AxpyBackwardX(const int count, const int spatial_dim, 
+__global__ void AxpyBackwardX(const int count, const int spatial_dim,
     const Dtype* scale_data, const Dtype* top_diff, Dtype* out) {
   CUDA_KERNEL_LOOP(index, count) {
     out[index] = scale_data[index / spatial_dim] * top_diff[index];
@@ -79,6 +80,7 @@ void AxpyLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
   if (propagate_down[0]) {
     cudaStream_t stream = Caffe::thread_stream();
     int outer_num = bottom[1]->count(0, 2);
+    // NOLINT_NEXT_LINE(whitespace/operators)
     AxpyBackwardScale<<<outer_num, CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
         outer_num, bottom[1]->count(2),
         bottom[1]->gpu_data<Btype>(), top_diff,
@@ -88,8 +90,9 @@ void AxpyLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
   }
   if (propagate_down[1]) {
     cudaStream_t stream = Caffe::thread_stream();
+    // NOLINT_NEXT_LINE(whitespace/operators)
     AxpyBackwardX<<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
-        count, top[0]->count(2), 
+        count, top[0]->count(2),
         bottom[0]->gpu_data<Btype>(), top_diff,
         bottom[1]->mutable_gpu_diff<Btype>());
     CUDA_POST_KERNEL_CHECK;
diff --git a/src/caffe/layers/permute_layer.cu b/src/caffe/layers/permute_layer.cu
index fbb410c42c1..dff9ba2bfb4 100644
--- a/src/caffe/layers/permute_layer.cu
+++ b/src/caffe/layers/permute_layer.cu
@@ -62,8 +62,8 @@ void PermuteLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
     const int* new_steps = new_steps_.gpu_data();
     const int* old_steps = old_steps_.gpu_data();
     bool foward = true;
-    // NOLINT_NEXT_LINE(whitespace/operators)
     cudaStream_t stream = Caffe::thread_stream();
+    // NOLINT_NEXT_LINE(whitespace/operators)
     PermuteKernel<<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
         count, bottom_data, foward, permute_order, old_steps, new_steps,
         num_axes_, top_data);
diff --git a/src/caffe/net.cpp b/src/caffe/net.cpp
index e1e7042f770..1e27a3b5cfe 100644
--- a/src/caffe/net.cpp
+++ b/src/caffe/net.cpp
@@ -106,7 +106,7 @@ void Net::Init(const NetParameter& in_param) {
 
   wgrad_sq_.store(0LL);
   global_grad_scale_coeff_ = 1.F;
-  has_global_grad_scale_param_ = in_param.has_global_grad_scale(); 
+  has_global_grad_scale_param_ = in_param.has_global_grad_scale();
   global_grad_scale_param_ = in_param.global_grad_scale();
   global_grad_scale_adaptive_ = in_param.global_grad_scale_adaptive();
 

From 466fdd5ddc2c766405f474df4d435167bfbf7412 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Wed, 14 Mar 2018 11:59:13 -0700
Subject: [PATCH 33/42] __hdiv __hmul

---
 include/caffe/util/gpu_math_functions.cuh | 9 +++++++++
 src/caffe/layers/normalize_layer.cu       | 5 +++--
 2 files changed, 12 insertions(+), 2 deletions(-)

diff --git a/include/caffe/util/gpu_math_functions.cuh b/include/caffe/util/gpu_math_functions.cuh
index 5cbd2ccb694..a1d706aa0ce 100644
--- a/include/caffe/util/gpu_math_functions.cuh
+++ b/include/caffe/util/gpu_math_functions.cuh
@@ -26,6 +26,15 @@ half hmul(half a, half b) {
 #endif
 }
 
+__device__ __inline__
+half hdiv(half a, half b) {
+#if __CUDA_ARCH__ >= 530
+  return __hdiv(a, b);
+#else
+  return float2half_clip(__half2float(a) / __half2float(b));
+#endif
+}
+
 __device__ __inline__
 half2 hmul2(half2 a, half2 b) {
 #if __CUDA_ARCH__ >= 530
diff --git a/src/caffe/layers/normalize_layer.cu b/src/caffe/layers/normalize_layer.cu
index d880bebedcd..631bb0f59db 100644
--- a/src/caffe/layers/normalize_layer.cu
+++ b/src/caffe/layers/normalize_layer.cu
@@ -6,6 +6,7 @@
 #include "caffe/util/half.cuh"
 #include "caffe/filler.hpp"
 #include "caffe/layers/normalize_layer.hpp"
+#include "caffe/util/gpu_math_functions.cuh"
 #include "caffe/util/math_functions.hpp"
 
 namespace caffe {
@@ -27,7 +28,7 @@ __global__ void DivBsx<float16>(const int nthreads, const float16* A,
     const half* ah = reinterpret_cast<const half*>(A);
     const half* vh = reinterpret_cast<const half*>(v);
     half* bh = reinterpret_cast<half*>(B);
-    bh[index] = __hdiv(ah[index], vh[index % cols]);
+    bh[index] = hdiv(ah[index], vh[index % cols]);
   }
 }
 
@@ -55,7 +56,7 @@ __global__ void MulBsx<float16>(const int nthreads, const float16* A, const floa
     const half* ah = reinterpret_cast<const half*>(A);
     const half* vh = reinterpret_cast<const half*>(v);
     half* bh = reinterpret_cast<half*>(B);
-    bh[index] = __hmul(ah[index], vh[notrans ? c : r]);
+    bh[index] = hmul(ah[index], vh[notrans ? c : r]);
   }
 }
 

From b4bbb36423d75bf3d7eec6728c053db918790094 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Wed, 14 Mar 2018 19:32:47 -0700
Subject: [PATCH 34/42] Adaptive limit

---
 src/caffe/net.cpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/caffe/net.cpp b/src/caffe/net.cpp
index 1e27a3b5cfe..6b2822af015 100644
--- a/src/caffe/net.cpp
+++ b/src/caffe/net.cpp
@@ -918,7 +918,7 @@ void Net::update_grad_scale() {
     if (global_grad_scale_adaptive_) {
       const float wgsq = wgrad_sq();
       if (wgsq > 0.F) {
-        global_grad_scale_coeff_ = std::sqrt(wgsq) * global_grad_scale_param_;
+        global_grad_scale_coeff_ = std::sqrt(std::max(wgsq, 1.F / Caffe::solver_count())) * global_grad_scale_param_;
         return;
       }
     }

From a505417be499a0e6f394542ef3a1777d9e9181a9 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Thu, 15 Mar 2018 15:18:55 -0700
Subject: [PATCH 35/42] bad param in digits fixed

---
 src/caffe/common.cpp                  |  8 +++-----
 src/caffe/layers/accuracy_layer.cu    |  7 +++++--
 src/caffe/layers/cudnn_conv_layer.cpp |  9 +--------
 src/caffe/solvers/sgd_solver.cpp      | 14 +++++++-------
 4 files changed, 16 insertions(+), 22 deletions(-)

diff --git a/src/caffe/common.cpp b/src/caffe/common.cpp
index 95e53d7737d..1d48063a93c 100644
--- a/src/caffe/common.cpp
+++ b/src/caffe/common.cpp
@@ -144,12 +144,10 @@ Caffe::Caffe()
 
 void Caffe::init() {
   if (mode_ == GPU && curand_generator_ == nullptr) {
-    CURAND_CHECK_ARG(curandCreateGenerator(&curand_generator_, CURAND_RNG_PSEUDO_DEFAULT),
-        current_device());
-    CURAND_CHECK_ARG(curandSetPseudoRandomGeneratorSeed(curand_generator_, cluster_seedgen()),
-        current_device());
     curand_stream_ = CudaStream::create();
-    CURAND_CHECK_ARG(curandSetStream(curand_generator_, curand_stream_->get()), current_device());
+    CURAND_CHECK_ARG(curandCreateGenerator(&curand_generator_, CURAND_RNG_PSEUDO_DEFAULT), device_);
+    CURAND_CHECK_ARG(curandSetPseudoRandomGeneratorSeed(curand_generator_, cluster_seedgen()), device_);
+    CURAND_CHECK_ARG(curandSetStream(curand_generator_, curand_stream_->get()), device_);
   }
 }
 
diff --git a/src/caffe/layers/accuracy_layer.cu b/src/caffe/layers/accuracy_layer.cu
index 82fa16a4e74..365d63f09ce 100644
--- a/src/caffe/layers/accuracy_layer.cu
+++ b/src/caffe/layers/accuracy_layer.cu
@@ -72,6 +72,7 @@ void AccuracyLayer<Ftype, Btype>::Forward_gpu(
   const int dim = bottom[0]->count() / outer_num_;
   const int num_labels = bottom[0]->shape(label_axis_);
   const int nthreads = outer_num_ * inner_num_;
+  cudaStream_t stream = Caffe::thread_stream();
   // Since this memory is not used for anything, we use it here to avoid having
   // to allocate new GPU memory to accumulate intermediate results.
   Ftype* acc_data = bottom[0]->mutable_gpu_diff<Ftype>();
@@ -83,9 +84,10 @@ void AccuracyLayer<Ftype, Btype>::Forward_gpu(
     Ftype* counts = bottom[1]->mutable_gpu_diff<Ftype>();
     // NOLINT_NEXT_LINE(whitespace/operators)
     AccuracyForwardGPU<<<CAFFE_GET_BLOCKS(nthreads),
-        CAFFE_CUDA_NUM_THREADS>>>(nthreads, bottom_data, bottom_label,
+        CAFFE_CUDA_NUM_THREADS, 0, stream>>>(nthreads, bottom_data, bottom_label,
         acc_data, outer_num_, dim, inner_num_, num_labels, top_k_,
         has_ignore_label_, ignore_label_, counts);
+    CUDA_CHECK(cudaStreamSynchronize(stream));
     Ftype acc;
     caffe_gpu_asum(nthreads, acc_data, &acc, 0);
     Ftype valid_count;
@@ -107,9 +109,10 @@ void AccuracyLayer<Ftype, Btype>::Forward_gpu(
 
     // NOLINT_NEXT_LINE(whitespace/operators)
     AccuracyForwardWithPerClassGPU<<<CAFFE_GET_BLOCKS(nthreads),
-        CAFFE_CUDA_NUM_THREADS>>>(nthreads, bottom_data, bottom_label,
+        CAFFE_CUDA_NUM_THREADS, 0, stream>>>(nthreads, bottom_data, bottom_label,
         acc_data, counts, outer_num_, dim, inner_num_, num_labels, top_k_,
         has_ignore_label_, ignore_label_);
+    CUDA_CHECK(cudaStreamSynchronize(stream));
 
     // get the overall accuracy
     Ftype acc;
diff --git a/src/caffe/layers/cudnn_conv_layer.cpp b/src/caffe/layers/cudnn_conv_layer.cpp
index a6263167613..d7e17e751a1 100644
--- a/src/caffe/layers/cudnn_conv_layer.cpp
+++ b/src/caffe/layers/cudnn_conv_layer.cpp
@@ -415,6 +415,7 @@ void CuDNNConvolutionLayer<Ftype, Btype>::Reshape(
         1, 1);
   }
 
+  size_t workspace_bytes = AllocateWorkspace(bottom.size());
   // Ask cuDNN to find the best algorithm
   // When batch is small and every image is different we don't want to call Find* over and over
   if (use_algo_seeker_) {
@@ -423,12 +424,6 @@ void CuDNNConvolutionLayer<Ftype, Btype>::Reshape(
     //         FindEx-backward-filter. The size of buffer is as big as weights.
     // Get: workspace_bytes is only used as a workspace limit by Get.
     //      (no allocation happens before Get or by Get).
-    size_t workspace_bytes = 0UL;
-    if (fwd_count_ == 0) {
-      // In iteration 0, use a small amount of memory in order to leave
-      // most of memory for allocating layer blobs.
-      workspace_bytes = AllocateWorkspace(bottom.size());
-    }
     switch (this->layer_param_.convolution_param().cudnn_convolution_algo_seeker()) {
       case ConvolutionParameter_CuDNNConvolutionAlgorithmSeeker_GET:
         GetConvAlgo(bottom, top, workspace_bytes, pad_h, pad_w, stride_h, stride_w);
@@ -449,8 +444,6 @@ void CuDNNConvolutionLayer<Ftype, Btype>::Reshape(
       default:
         LOG(FATAL) << "Wrong value for cudnn_convolution_algo_seeker";
     }
-  } else {
-    AllocateWorkspace(bottom.size());
   }
 }
 
diff --git a/src/caffe/solvers/sgd_solver.cpp b/src/caffe/solvers/sgd_solver.cpp
index 25fff98b0e4..082a45b0fb6 100644
--- a/src/caffe/solvers/sgd_solver.cpp
+++ b/src/caffe/solvers/sgd_solver.cpp
@@ -243,13 +243,13 @@ float SGDSolver<Dtype>::ComputeUpdateValue(int param_id, void* handle, float rat
   const string& larc_policy = this->param_.larc_policy();
   float local_rate = GetLocalRate(param_id, wgrad_sq);
   if (larc) {
-  if (larc_policy == "scale") {
-    local_rate = rate * local_rate;
-  } else if (larc_policy == "clip") {
-    local_rate = std::min(rate, local_rate);
-  } else {
-    LOG(FATAL) << "Unknown larc policy: " << larc_policy;
-  }
+    if (larc_policy == "scale") {
+      local_rate = rate * local_rate;
+    } else if (larc_policy == "clip") {
+      local_rate = std::min(rate, local_rate);
+    } else {
+      LOG(FATAL) << "Unknown larc policy: " << larc_policy;
+    }
   } else {
     local_rate = rate * local_rate;
   }

From 6952299938b8cf44b2f5580420753c305ae23c4e Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Thu, 15 Mar 2018 18:26:55 -0700
Subject: [PATCH 36/42] SSD fixes,

---
 examples/faceboxes/SSD.prototxt          | 1540 ++++++++++++++++++++++
 examples/faceboxes/faceboxes_test.py     |   61 +
 examples/faceboxes/pepper.jpg            |  Bin 0 -> 504311 bytes
 src/caffe/common.cpp                     |    6 +-
 src/caffe/layers/smooth_L1_loss_layer.cu |    8 +-
 src/caffe/net.cpp                        |    2 +-
 src/caffe/util/bbox_util.cu              |   41 +-
 7 files changed, 1638 insertions(+), 20 deletions(-)
 create mode 100644 examples/faceboxes/SSD.prototxt
 create mode 100644 examples/faceboxes/faceboxes_test.py
 create mode 100644 examples/faceboxes/pepper.jpg

diff --git a/examples/faceboxes/SSD.prototxt b/examples/faceboxes/SSD.prototxt
new file mode 100644
index 00000000000..9c61a39d3d7
--- /dev/null
+++ b/examples/faceboxes/SSD.prototxt
@@ -0,0 +1,1540 @@
+name: "VGG_WIDER_FACE_SFD_deploy"
+
+default_forward_type:  FLOAT16
+default_backward_type: FLOAT16
+default_forward_math:  FLOAT16
+default_backward_math: FLOAT16
+
+#global_grad_scale: 10
+#global_grad_scale_adaptive: true
+
+input: "data"
+input_shape {
+  dim: 1
+  dim: 3
+  dim: 1080
+  dim: 1920
+}
+layer {
+  name: "conv1_1"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv1_1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu1_1"
+  type: "ReLU"
+  bottom: "conv1_1"
+  top: "conv1_1"
+}
+layer {
+  name: "conv1_2"
+  type: "Convolution"
+  bottom: "conv1_1"
+  top: "conv1_2"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 64
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu1_2"
+  type: "ReLU"
+  bottom: "conv1_2"
+  top: "conv1_2"
+}
+layer {
+  name: "pool1"
+  type: "Pooling"
+  bottom: "conv1_2"
+  top: "pool1"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+  }
+}
+layer {
+  name: "conv2_1"
+  type: "Convolution"
+  bottom: "pool1"
+  top: "conv2_1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu2_1"
+  type: "ReLU"
+  bottom: "conv2_1"
+  top: "conv2_1"
+}
+layer {
+  name: "conv2_2"
+  type: "Convolution"
+  bottom: "conv2_1"
+  top: "conv2_2"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu2_2"
+  type: "ReLU"
+  bottom: "conv2_2"
+  top: "conv2_2"
+}
+layer {
+  name: "pool2"
+  type: "Pooling"
+  bottom: "conv2_2"
+  top: "pool2"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+  }
+}
+layer {
+  name: "conv3_1"
+  type: "Convolution"
+  bottom: "pool2"
+  top: "conv3_1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu3_1"
+  type: "ReLU"
+  bottom: "conv3_1"
+  top: "conv3_1"
+}
+layer {
+  name: "conv3_2"
+  type: "Convolution"
+  bottom: "conv3_1"
+  top: "conv3_2"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu3_2"
+  type: "ReLU"
+  bottom: "conv3_2"
+  top: "conv3_2"
+}
+layer {
+  name: "conv3_3"
+  type: "Convolution"
+  bottom: "conv3_2"
+  top: "conv3_3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu3_3"
+  type: "ReLU"
+  bottom: "conv3_3"
+  top: "conv3_3"
+}
+layer {
+  name: "pool3"
+  type: "Pooling"
+  bottom: "conv3_3"
+  top: "pool3"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+  }
+}
+layer {
+  name: "conv4_1"
+  type: "Convolution"
+  bottom: "pool3"
+  top: "conv4_1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu4_1"
+  type: "ReLU"
+  bottom: "conv4_1"
+  top: "conv4_1"
+}
+layer {
+  name: "conv4_2"
+  type: "Convolution"
+  bottom: "conv4_1"
+  top: "conv4_2"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu4_2"
+  type: "ReLU"
+  bottom: "conv4_2"
+  top: "conv4_2"
+}
+layer {
+  name: "conv4_3"
+  type: "Convolution"
+  bottom: "conv4_2"
+  top: "conv4_3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu4_3"
+  type: "ReLU"
+  bottom: "conv4_3"
+  top: "conv4_3"
+}
+layer {
+  name: "pool4"
+  type: "Pooling"
+  bottom: "conv4_3"
+  top: "pool4"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+  }
+}
+layer {
+  name: "conv5_1"
+  type: "Convolution"
+  bottom: "pool4"
+  top: "conv5_1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+    dilation: 1
+  }
+}
+layer {
+  name: "relu5_1"
+  type: "ReLU"
+  bottom: "conv5_1"
+  top: "conv5_1"
+}
+layer {
+  name: "conv5_2"
+  type: "Convolution"
+  bottom: "conv5_1"
+  top: "conv5_2"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+    dilation: 1
+  }
+}
+layer {
+  name: "relu5_2"
+  type: "ReLU"
+  bottom: "conv5_2"
+  top: "conv5_2"
+}
+layer {
+  name: "conv5_3"
+  type: "Convolution"
+  bottom: "conv5_2"
+  top: "conv5_3"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+    dilation: 1
+  }
+}
+layer {
+  name: "relu5_3"
+  type: "ReLU"
+  bottom: "conv5_3"
+  top: "conv5_3"
+}
+layer {
+  name: "pool5"
+  type: "Pooling"
+  bottom: "conv5_3"
+  top: "pool5"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+  }
+}
+layer {
+  name: "fc6"
+  type: "Convolution"
+  bottom: "pool5"
+  top: "fc6"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 1024
+    pad: 3
+    kernel_size: 3
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+    dilation: 1
+  }
+}
+layer {
+  name: "relu6"
+  type: "ReLU"
+  bottom: "fc6"
+  top: "fc6"
+}
+layer {
+  name: "fc7"
+  type: "Convolution"
+  bottom: "fc6"
+  top: "fc7"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 1024
+    kernel_size: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "relu7"
+  type: "ReLU"
+  bottom: "fc7"
+  top: "fc7"
+}
+layer {
+  name: "conv6_1"
+  type: "Convolution"
+  bottom: "fc7"
+  top: "conv6_1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv6_1_relu"
+  type: "ReLU"
+  bottom: "conv6_1"
+  top: "conv6_1"
+}
+layer {
+  name: "conv6_2"
+  type: "Convolution"
+  bottom: "conv6_1"
+  top: "conv6_2"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 512
+    pad: 1
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv6_2_relu"
+  type: "ReLU"
+  bottom: "conv6_2"
+  top: "conv6_2"
+}
+layer {
+  name: "conv7_1"
+  type: "Convolution"
+  bottom: "conv6_2"
+  top: "conv7_1"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 128
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv7_1_relu"
+  type: "ReLU"
+  bottom: "conv7_1"
+  top: "conv7_1"
+}
+layer {
+  name: "conv7_2"
+  type: "Convolution"
+  bottom: "conv7_1"
+  top: "conv7_2"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 256
+    pad: 1
+    kernel_size: 3
+    stride: 2
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv7_2_relu"
+  type: "ReLU"
+  bottom: "conv7_2"
+  top: "conv7_2"
+}
+layer {
+  name: "conv3_3_norm"
+  type: "Normalize"
+  bottom: "conv3_3"
+  top: "conv3_3_norm"
+  norm_param {
+    across_spatial: false
+    scale_filler {
+      type: "constant"
+      value: 10
+    }
+    channel_shared: false
+  }
+}
+layer {
+  name: "conv3_3_norm_mbox_loc"
+  type: "Convolution"
+  bottom: "conv3_3_norm"
+  top: "conv3_3_norm_mbox_loc"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 4
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv3_3_norm_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv3_3_norm_mbox_loc"
+  top: "conv3_3_norm_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv3_3_norm_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv3_3_norm_mbox_loc_perm"
+  top: "conv3_3_norm_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv3_3_norm_mbox_conf"
+  type: "Convolution"
+  bottom: "conv3_3_norm"
+  top: "conv3_3_norm_mbox_conf"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 4
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv3_3_norm_mbox_conf_slice"
+  type: "Slice"
+  bottom: "conv3_3_norm_mbox_conf"
+  top: "conv3_3_norm_mbox_conf1"
+  top: "conv3_3_norm_mbox_conf2"
+  top: "conv3_3_norm_mbox_conf3"
+  top: "conv3_3_norm_mbox_conf4"
+  slice_param {
+    axis: 1
+    slice_point: 1
+    slice_point: 2
+    slice_point: 3
+  }
+}
+layer {
+  name: "conv3_3_norm_mbox_conf_maxout"
+  type: "Eltwise"
+  bottom: "conv3_3_norm_mbox_conf1"
+  bottom: "conv3_3_norm_mbox_conf2"
+  bottom: "conv3_3_norm_mbox_conf3"
+  top: "conv3_3_norm_mbox_conf_maxout"
+  eltwise_param {
+    operation: MAX
+  }
+}
+layer {
+  name: "conv3_3_norm_mbox_conf_out"
+  type: "Concat"
+  bottom: "conv3_3_norm_mbox_conf_maxout"
+  bottom: "conv3_3_norm_mbox_conf4"
+  top: "conv3_3_norm_mbox_conf_out"
+  concat_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv3_3_norm_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv3_3_norm_mbox_conf_out"
+  top: "conv3_3_norm_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv3_3_norm_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv3_3_norm_mbox_conf_perm"
+  top: "conv3_3_norm_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv3_3_norm_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv3_3_norm"
+  bottom: "data"
+  top: "conv3_3_norm_mbox_priorbox"
+  prior_box_param {
+    min_size: 16
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 4
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv4_3_norm"
+  type: "Normalize"
+  bottom: "conv4_3"
+  top: "conv4_3_norm"
+  norm_param {
+    across_spatial: false
+    scale_filler {
+      type: "constant"
+      value: 8
+    }
+    channel_shared: false
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_loc"
+  type: "Convolution"
+  bottom: "conv4_3_norm"
+  top: "conv4_3_norm_mbox_loc"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 4
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv4_3_norm_mbox_loc"
+  top: "conv4_3_norm_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv4_3_norm_mbox_loc_perm"
+  top: "conv4_3_norm_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_conf"
+  type: "Convolution"
+  bottom: "conv4_3_norm"
+  top: "conv4_3_norm_mbox_conf"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 2
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv4_3_norm_mbox_conf"
+  top: "conv4_3_norm_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv4_3_norm_mbox_conf_perm"
+  top: "conv4_3_norm_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv4_3_norm_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv4_3_norm"
+  bottom: "data"
+  top: "conv4_3_norm_mbox_priorbox"
+  prior_box_param {
+    min_size: 32
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 8
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv5_3_norm"
+  type: "Normalize"
+  bottom: "conv5_3"
+  top: "conv5_3_norm"
+  norm_param {
+    across_spatial: false
+    scale_filler {
+      type: "constant"
+      value: 5
+    }
+    channel_shared: false
+  }
+}
+layer {
+  name: "conv5_3_norm_mbox_loc"
+  type: "Convolution"
+  bottom: "conv5_3_norm"
+  top: "conv5_3_norm_mbox_loc"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 4
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv5_3_norm_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv5_3_norm_mbox_loc"
+  top: "conv5_3_norm_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv5_3_norm_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv5_3_norm_mbox_loc_perm"
+  top: "conv5_3_norm_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv5_3_norm_mbox_conf"
+  type: "Convolution"
+  bottom: "conv5_3_norm"
+  top: "conv5_3_norm_mbox_conf"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 2
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv5_3_norm_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv5_3_norm_mbox_conf"
+  top: "conv5_3_norm_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv5_3_norm_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv5_3_norm_mbox_conf_perm"
+  top: "conv5_3_norm_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv5_3_norm_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv5_3_norm"
+  bottom: "data"
+  top: "conv5_3_norm_mbox_priorbox"
+  prior_box_param {
+    min_size: 64
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 16
+    offset: 0.5
+  }
+}
+layer {
+  name: "fc7_mbox_loc"
+  type: "Convolution"
+  bottom: "fc7"
+  top: "fc7_mbox_loc"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 4
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fc7_mbox_loc_perm"
+  type: "Permute"
+  bottom: "fc7_mbox_loc"
+  top: "fc7_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fc7_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "fc7_mbox_loc_perm"
+  top: "fc7_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fc7_mbox_conf"
+  type: "Convolution"
+  bottom: "fc7"
+  top: "fc7_mbox_conf"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 2
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "fc7_mbox_conf_perm"
+  type: "Permute"
+  bottom: "fc7_mbox_conf"
+  top: "fc7_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "fc7_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "fc7_mbox_conf_perm"
+  top: "fc7_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "fc7_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "fc7"
+  bottom: "data"
+  top: "fc7_mbox_priorbox"
+  prior_box_param {
+    min_size: 128
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 32
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv6_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv6_2"
+  top: "conv6_2_mbox_loc"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 4
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv6_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv6_2_mbox_loc"
+  top: "conv6_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv6_2_mbox_loc_perm"
+  top: "conv6_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv6_2"
+  top: "conv6_2_mbox_conf"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 2
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv6_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv6_2_mbox_conf"
+  top: "conv6_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv6_2_mbox_conf_perm"
+  top: "conv6_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv6_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv6_2"
+  bottom: "data"
+  top: "conv6_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 256
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 64
+    offset: 0.5
+  }
+}
+layer {
+  name: "conv7_2_mbox_loc"
+  type: "Convolution"
+  bottom: "conv7_2"
+  top: "conv7_2_mbox_loc"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 4
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv7_2_mbox_loc_perm"
+  type: "Permute"
+  bottom: "conv7_2_mbox_loc"
+  top: "conv7_2_mbox_loc_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_loc_flat"
+  type: "Flatten"
+  bottom: "conv7_2_mbox_loc_perm"
+  top: "conv7_2_mbox_loc_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_conf"
+  type: "Convolution"
+  bottom: "conv7_2"
+  top: "conv7_2_mbox_conf"
+  param {
+    lr_mult: 1
+    decay_mult: 1
+  }
+  param {
+    lr_mult: 2
+    decay_mult: 0
+  }
+  convolution_param {
+    num_output: 2
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+      value: 0
+    }
+  }
+}
+layer {
+  name: "conv7_2_mbox_conf_perm"
+  type: "Permute"
+  bottom: "conv7_2_mbox_conf"
+  top: "conv7_2_mbox_conf_perm"
+  permute_param {
+    order: 0
+    order: 2
+    order: 3
+    order: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_conf_flat"
+  type: "Flatten"
+  bottom: "conv7_2_mbox_conf_perm"
+  top: "conv7_2_mbox_conf_flat"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "conv7_2_mbox_priorbox"
+  type: "PriorBox"
+  bottom: "conv7_2"
+  bottom: "data"
+  top: "conv7_2_mbox_priorbox"
+  prior_box_param {
+    min_size: 512
+    clip: false
+    variance: 0.1
+    variance: 0.1
+    variance: 0.2
+    variance: 0.2
+    step: 128
+    offset: 0.5
+  }
+}
+layer {
+  name: "mbox_loc"
+  type: "Concat"
+  bottom: "conv3_3_norm_mbox_loc_flat"
+  bottom: "conv4_3_norm_mbox_loc_flat"
+  bottom: "conv5_3_norm_mbox_loc_flat"
+  bottom: "fc7_mbox_loc_flat"
+  bottom: "conv6_2_mbox_loc_flat"
+  bottom: "conv7_2_mbox_loc_flat"
+  top: "mbox_loc"
+  concat_param {
+    axis: 1
+  }
+}
+layer {
+  name: "mbox_conf"
+  type: "Concat"
+  bottom: "conv3_3_norm_mbox_conf_flat"
+  bottom: "conv4_3_norm_mbox_conf_flat"
+  bottom: "conv5_3_norm_mbox_conf_flat"
+  bottom: "fc7_mbox_conf_flat"
+  bottom: "conv6_2_mbox_conf_flat"
+  bottom: "conv7_2_mbox_conf_flat"
+  top: "mbox_conf"
+  concat_param {
+    axis: 1
+  }
+}
+layer {
+  name: "mbox_priorbox"
+  type: "Concat"
+  bottom: "conv3_3_norm_mbox_priorbox"
+  bottom: "conv4_3_norm_mbox_priorbox"
+  bottom: "conv5_3_norm_mbox_priorbox"
+  bottom: "fc7_mbox_priorbox"
+  bottom: "conv6_2_mbox_priorbox"
+  bottom: "conv7_2_mbox_priorbox"
+  top: "mbox_priorbox"
+  concat_param {
+    axis: 2
+  }
+}
+layer {
+  name: "mbox_conf_reshape"
+  type: "Reshape"
+  bottom: "mbox_conf"
+  top: "mbox_conf_reshape"
+  reshape_param {
+    shape {
+      dim: 0
+      dim: -1
+      dim: 2
+    }
+  }
+}
+layer {
+  name: "mbox_conf_softmax"
+  type: "Softmax"
+  bottom: "mbox_conf_reshape"
+  top: "mbox_conf_softmax"
+  softmax_param {
+    axis: 2
+  }
+}
+layer {
+  name: "mbox_conf_flatten"
+  type: "Flatten"
+  bottom: "mbox_conf_softmax"
+  top: "mbox_conf_flatten"
+  flatten_param {
+    axis: 1
+  }
+}
+layer {
+  name: "detection_out"
+  type: "DetectionOutput"
+  bottom: "mbox_loc"
+  bottom: "mbox_conf_flatten"
+  bottom: "mbox_priorbox"
+  top: "detection_out"
+  include {
+    phase: TEST
+  }
+  detection_output_param {
+    num_classes: 2
+    share_location: true
+    background_label_id: 0
+    nms_param {
+      nms_threshold: 0.3
+      top_k: 5000
+    }
+    code_type: CENTER_SIZE
+    keep_top_k: 750
+    confidence_threshold: 0.6
+  }
+}
+
diff --git a/examples/faceboxes/faceboxes_test.py b/examples/faceboxes/faceboxes_test.py
new file mode 100644
index 00000000000..ace7b1c91c8
--- /dev/null
+++ b/examples/faceboxes/faceboxes_test.py
@@ -0,0 +1,61 @@
+import numpy as np
+import sys, os
+import cv2
+
+sys.path.insert(0, '../../python')
+import caffe
+import time
+
+net_file = 'SSD.prototxt'
+caffe_model = 'SSD.caffemodel'
+test_dir = "images"
+
+if not os.path.exists(caffe_model):
+    print("SSD.caffemodel does not exist, see https://github.com/sfzhang15/SFD")
+    exit()
+caffe.set_mode_gpu()
+net = caffe.Net(net_file, caffe_model, caffe.TEST)
+
+CLASSES = ('background',
+           'face')
+
+transformer = caffe.io.Transformer({'data': net.blobs['data'].data.shape})
+transformer.set_transpose('data', (2, 0, 1))
+transformer.set_mean('data', np.array([104, 117, 123]))  # mean pixel
+
+
+def postprocess(img, out):
+    h = img.shape[0]
+    w = img.shape[1]
+    box = out['detection_out'][0, 0, :, 3:7] * np.array([w, h, w, h])
+    cls = out['detection_out'][0, 0, :, 1]
+    conf = out['detection_out'][0, 0, :, 2]
+    return (box.astype(np.int32), conf, cls)
+
+
+def detect(imgfile):
+    frame = cv2.imread(imgfile)
+    transformed_image = transformer.preprocess('data', frame)
+    net.blobs['data'].data[...] = transformed_image
+    time_start = time.time()
+    out = net.forward()
+    time_end = time.time()
+    print (time_end - time_start),
+    print ("s")
+
+    box, conf, cls = postprocess(frame, out)
+
+    for i in range(len(box)):
+        p1 = (box[i][0], box[i][1])
+        p2 = (box[i][2], box[i][3])
+        cv2.rectangle(frame, p1, p2, (0, 255, 0))
+        p3 = (max(p1[0], 15), max(p1[1], 15))
+        title = "%s:%.2f" % (CLASSES[int(cls[i])], conf[i])
+        cv2.putText(frame, title, p3, cv2.FONT_ITALIC, 0.6, (0, 255, 0), 1)
+    cv2.imshow("SSD, %d boxes" % len(box), frame)
+    cv2.waitKey()
+    # if cv2.waitKey(100) & 0xFF == ord('q'):
+    #     break
+
+
+detect("pepper.jpg")
diff --git a/examples/faceboxes/pepper.jpg b/examples/faceboxes/pepper.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..c019ed4651b000d83f2b7ca29be742256474a529
GIT binary patch
literal 504311
zcmb5VXH-+!_Xd1YNkYI7LIeaSATX4G0RaKU2~9&&TIgUvdXuiA&LlMH6GE@jdkr1b
z0R*M@js+EwqRyzOqcijWz1L6gdOyC`ti^I&a_>2NKl|Cw-uv*swf}7ag4ub~^8f~e
z0S5FB{BIK&0R$ZW;{#nt=!3$bP)H;SCm?{v;Bk1oAWl$FNSH_v5*85_6eN%dBBCTQ
zF){p+qvB+eIFTeq`tcAL0{RXTg+-yTBq2c|(*N)4f5SiogVYgVBVZx`E&@Y{!2UM^
zqyYc|KUVwyUNAVcMzjD13*9~j18~Iu_ck0_33U5^8vu`h?h+6L0AM@Pg%<c@xlYOe
zi-N^+0Q&|TjRrs}HIv24J&uIa;q)OQ6@wvzV`8y@Lc#$7Sq}Y)Ad16)fi+oyp>;&O
z2xph{u!)#9IHw>#cBc?$hhNh~omc=~$I)y$#fplJXCn#hNIWJxc8Jbp5U>aw7j9w=
zSXlHN4Fn&tAc$)NAWk6yUl`q(G!)CB(7D&~7*T*^!=ZJQS&7Rc<LE5bmfSHo5aPrR
z4i0kY7)Ld^oO}TAWMRSwVGeIy2?>X>SZ^^XfPx!<y^{!51p&ZMwaMX(?@@swMhZES
zjRSy$XU8h)L0>~Q$=c%(0Egnlu|hf+fNMnsq!bjK4&X8@5O*TQ0*`YXr%*x(XhCGG
z!MLyq+<?vsm&yQek3ohU9)rP|z~Ba3Fe!TmV6B}+3T6({6#x#w9UNjC3&-(}C8G`2
zq%uR~&r|%wh`o25k@fgB4PnM%Jdi{IHe`x(!*oup6cWyntHVp7hsvx-DXeW8qd^8C
zPLM$%*qeqsBrJM}vP%F#QW7jMCW=MDIc*eLBmu*Q#j>~QgmXA#T&SW1io-@C=v#`C
zs5o{T16V7;QG;E%01nukVQHDI(A;qbpje4ZVSyk5J;*Wc#i8)@HZ8It7!pDQj3kzx
zl*OU5+9*Ld%odksrGvFs%!#9K0k9>mh+TdO6iH|tYK+C=(r8F=g1DDD1E8oC3=$eG
z6vu{vSAg{6!Q0_<LAVEtz6L?7PYQt$FaT@KTrNY7j24g`9I7MZ*_re$!YMdsPiO?e
z3N_6PkvY%uLz-s_cVcZM${1=Fsu%<c1_?*T4q0dm0%(1JZzqIcv$&Ly3*t%`yb&_3
z%*w!E?mD(?2M{QDJRZp5Sx7;Og}69DjwlRcBM0ei6xSr^33C)hj5rWPvC;HFMA@z!
z9#2H8^H_C+HZG0gMGz+N2*Sh{&@;$_2sRu>U!zD1U;%_TMWPvpz9xZ2Bk}QNikS#D
z+X_&^(L-DcDAV$JNf(zR0qD)7eT<c!AOgjPT+V{9OAwdS$S-N5X&AG`V6k2_zyjL<
zMyGS_GTOi(qs&noiA8e8+9<kGKxj%9NjKz5;N%#GvBq>Z%}Sg=5di|6U@V%mk_W0R
zFr0i$o}@HFMnfBi$PAYwR<Nw3;)Mq5r9CM0wjd1VCp4Ws$R32jtAgUV<G@RVlK)pL
zEY>lc1;s6!P2f^Oy#R{CWpM$Qp~hmvc=R?J#ZmLfAQ&8DC9?5t*LgAkjECByfIW<K
zTz=3|56b~uS<Eps3n>l^j>NIIW&kRV!nRU8hCuPSp=3cBz_UkV<>~a@({R|Ju~8ZQ
zg#v^sHk{6(fLt?xffy4a5Y$<MqBM#V%VDvgm)a$<hv){sKiUBpJOC6LC?E;K5kL^h
zLGX^n<4`adoXu&|MY2h#6NB_g3|rBvmd1^SXO0sd(#~R0Y&bHG2DpOxlpvwke*ySe
zWCiS^4icMhr3W|6q)@zaAYQ^6(+-eG<PRbn0+53#jvxrnp@_q9e1;c>Rb~V?f&+*F
z>|zauk}%RpHndW>fC45KE=OcRP^ZK|VQx$_1jIcBK!SK7g|(*SXk2#;1!u!J06`gI
zjbKo443a?2OQu-?KR^W#cCw(5q_Y`RGM?8)*AcX)u)H*mz<6a0V21{HaRIs_#Yz*9
zAWR$lWt$9yV}}Moo0Yf@1__{jC;oCQpP&Q95MZ;1!U<FikRwABSM@U#PXGx45R<6^
zz;+^9(1V~|879c(grR8R$8el78f3<~(+KvKng@k#JGr%`DMX)$7w+Aa6Qw~26O)0<
zWD(0m;bJ(=kwhR)Ac#`|$Pk8cpa_X&C`m~S$~eoPpqjwJni2^MWjQzr2%srmQUWlD
ze;JBLX&5UJ1v5H8pkVYeiiQ)CEdzlZHb{fBX<Anx3lJ1BL?{g6pmc(OBZ*J|04wM%
zL>!U>H;n{<#?TfNfblIbcyc)hjsb0<*$^PC<bXJ!;Gh5k1i;Y52}nUVq!4ffiUS{n
z)&>Lkn$rMcVF=qCx{V?U2U(874Hc%p92z7LfL#&-ImV?>!V(7igwK}+0K-9!oMOUQ
zI8_qb1i(O+2}LGiP-{AZY)-Evo1GsCNW+7ia1bO)e5(OFg%#^XX3+iuiUhMEx*P?<
z357&Q!YRh7nS)M3yjZs!22c_`@gwHJIt~Rl1>8uyG#Un2FfVAwW*iD^j!saN0$8*u
z12_o+^br`u!Etg_Hh{nmAWy!OhCoRJJh~!~i;rcq;X|x7IWpj(5UgE-0%U50Jc~;Z
zr~DvQ7?iKJf=D0>z`W>O&_-d1D*{n8nvNp0QNR|U(HtRbP$sX0qY&Z15dbKh+n`kg
zIfghX@m1Md2*qF!g`m?}1;QqXvSc8B8n=!ExJ-JRE@Ws_EZ}fy*TrNwjA#M)7DH2r
z!y#-bB2(ZfJdZ&z;Bsk5f}BtSC$_>CAh_F*_-XSa8z5K|E3B{y2f>n}(S8s(jsk;2
zUIA!9fB`~dZQ$@nFlz%cfIRJ}jX`pFWuQ$~3c=2$Lm)r{5)wi^0>OcD1_k;Z$Tb2W
z32;M6LI5F8X#=b>3pivDRv80AJ=`854IF@&1TF<ob)giD6dcOMgX|#+y#jA50N7C0
zALI-JIpCwQ2BX+OcCmucK&O(B(1z$Nn`43k21FesECFr+=xb65C)it9ASZ^4#Q>>9
z;n;0Ij0k*?)5Z{|;w~7lLa;bvdj2sKps*1<MLZ^wx20idLU9zq0`x<6n=yku$Veuk
zp?nLinQo>_;WFA7a)@{wBtYWW7zUt0eiDbwf(01vAZH9fIRlE@Avy#AE(LOD4h+sQ
z7RQkJU~mY~Sz8d+#UVz3=n=_A#X`uY)4jwY6#=Cr#*c^tWzk4vsFf*zLJ>*)OA%lo
z`{9W=DHu$#4*%mnBqS0*tR>_52+C281n9dY!y$@C{-g&R&Si530SwxlA^;R)0XRoP
z=1weK6pBO|oyGOT1Nl1;1KVf|;Jg4uiF72k>W4Yl967GYkA(df7Rw$|v^tMK$k17R
z5LxJ$Lli)u5)J9_s&EsKtV4twGb-p%EOL|M0M<HO*+6!vjb@G%MnLY3#IXR9jf`W{
z=M?c|A=p?Ms3QRkbp2T23ku<fi(-=jt2YkCp+c!n))+Rp1t<`dT>()L03sk^q3|~_
zRwSU203$39SgddoQh0Dp8+~L9K%f=o?E;zw1S2Z~Yzh!lASP!+v<#_S1VYS99O4?t
z0TACNz>Uu2jsQqM42~H;j1y6kf#QNrH)hi)biE^-vj7BvARKCN4MMKCF7U_&4HOuR
z6E|27pzMo;og$4TST*|7?9juI8uo#s#^`O4M63WiiLQu~%cg)k(58gh0AP-uh!7^S
z1y%ADB$7gjm}EO)z%3*JB9wvv(3cg5UI-Y95J4vVSPdId#-g*WD0sGVGPpuLh8`OH
zfuG}S#WF|9BtD+RPj0JD5gD^ZAYpNoZH53y)@3WxUn~H!(hr6JL-aL_@DG**KcqTC
z&WcJbgF>#2p(g-0pj2V-Br^j7Rw@&0K{`8`K%nC72wUP1UpUGUF*1V;DGiKO1OESR
z+5ijz4HBkcNm(+KHX0oSWycP}hbUV*f3fJ|Ruoa#Ae*9q#~%f(HAamA2cTj(HUt`u
z&1ProWS>>`UQ1x~K;(fQ$|nlQz=!B%6e~Cp376ZVW5r|v`-c#MQTik^mq=}?P9n-2
zVnaSdSw2(_nc@fehyYoKgv+Et8d4iVCqQ!BpoE}EJi>v+u^=ePlF%S07FHGt>1(_c
z$BaM~mbo})Z#V2Q7%!X1pc0|*NTxYTO(X>|V?7y=-h%|OBL&JO7-0ZCkPXmCp|N_1
zSgl|{o&__`)}R{`8#r|1it~d9H%!%#x;bZc=ECcpLV+BU0ALVk*Qgj69<gOLF5}6r
zoDDF51RGrfmv1#<mJ|f2L_jo!Llkakps-&Caxr9~!BBBc<PaOdrq$qWDC{3LPy*Tl
zusFGDdef6Lp^SjLZCR}3JFv1KQ8-|*cA=nTz)4sn50ZJ2l1PXpcI60YY_hXvgR0&$
z{YK(Mad+7u7bLr)QL=@Qtk3`iq%fOHD<fzN!8zlAAOh_ZMu$wxb%d;i!Q`+39f_cC
zL8X~A488=oQRVXK4qj<Jr)%z%b}ty!LDB-ofl#lTP4KLXWwVoI=~OZX4v+wegV2kH
za4L+@P%~k}t>E<WNI)QA;A}-!h26^eCg%A{{ZGs}<a|PRxp(+eDgQ{Ittc}GX<r)j
zF~A~Vc#MplnC?42JP{CZC^jT!*)%BcQL|($q@&l3)>M*WHvQ8Bs7*8$7XkbT7_reS
z+`^7j!`{NYU_Xh&c47;loRyVN$jueEktdtXUNfEa6zQ~hvVWL-+y0B;m$}Uq8;S&*
z9x9MSleJfZ5A_hy=!yzS0GBh)Ni%D3G{zfUND5DlcD3w(W?!%CRT`*8%3Chn+b%!2
z(zbYHO4)9Oi5J&SfYZ$il%(4Y4V$tX9+@<hSJ+H1O{<u9Rqwi}+F2meg5faPZ3>jp
zcIAj@B-)fiCow>9X1E^AmFM7DWW*(DklmQgE|ds8{)b36e(gVJv8PwUZ~!?$GF7^O
zR4Pa4Ef}UO?MR^~k9ku<;l0@mJsON4Ats!2g;H46L2R?C0R&x*V6>h!11QU!R8I64
zQ#5Vas}ET5vDe{{*Xc_rRcA5JF2a;ab<W(T%a>Kz5v$kAUJ$40{Kx=^BsxW!Q$fbW
zN^7@a5lE;cr^8qyV*(Hw7*a#jK4yPIYoYT(a+3M#rKqSL8B1SUef(Ig4G#Un%wyEI
z-M=)i*?aI#MZ>!rCGC*A(DEMC&Zg<BZoH@Hqn?xc2$Qz5w2SV$ua7RSd@`9%oxbUm
zQ<J;ml4zEc6iIrqmeJHH9P0?yq=ZHQ#U|%7U%pf(hY%~N@M?MGUeEbO)KWjM(NsFt
zFHAy>tL0m<Z!H+&q-Xt)jJb@HB{tb&!lwu9NaSd#4F7S8>BIlyjI>2P*D&7)d$jre
z_dhi&n`KM}FH(U7#GHai7>5Vw)fl3X#=wcK1TJ6dPHu#gtBMven8siC&Z^dXkdS`l
zWXELI+KT}ii?yh<!+#?@pE2>0Fy_n~uyJ&4UTe`06ss7lqr)^NXTCaxJd>{#GVyl0
zxz}=EsL|$O_=J4_@rojqm-a*n)kx}QeXv+x9$>#nu2Qj|dvELAeKYug|9WT0&?aXm
zR6|6<PvPfGVb7Km7la5J-}y7$ePPPp0UoR^0ATbvswjaDDsXT_tiF9GB!QqhW)Q#&
zpsoi&h%@zv<))chj3iYgryyC^x2DU@&19J#Gw<!ks<1($#IiM?IKPhw@D4H?BHqcY
zNqKie^fp=uDd%_~*KC_Ry?UD2`w_c$rTj&p_(4{Z)5YAZ2HR_j2X9*YQwqHkcvjnm
ze=4O0->7~nh-7EVh)XtkP&i%1-Dg;DxEY7SYiB%EXC4kc?Reui8_3WeM?@LxHoa}H
zJ$@%Y6~56S9n^InZ+p@{usitD{KtJa$rJbO`U7VDYxKXpOtrPPo$>2(uJN{5%T((8
zbAK@>?eDRvROQ~4Lbpcc7iMZhgS4Oo7^FL4@MK710=g>aM42fpHu25BxsBs2dplD?
zHQ%Y>WpfYdZTl|k+Q6G_O%N^4_n(hwX)51M&Qh_Oc#_Q9fBjnkd1_ns5z7c2d+}y}
zxAf^l=Q4{^mRc*TcOIlYc;ZV7^HeT==EjW}FjSOI%>ANbe{4EihYlq|h5nj5x!<y%
z_nq%bc04Oq{(E+rfI*E5HeGQ^!&<Q2KKf_fn#^F0isS9Jv@)<I2h})m^h-Rz#1FFa
za~s+L3@V{OJqd}Ghh#UM^)&h*{MpuWcn<AdGtYi|_z%ILJ>T1rN9Cj?T-ps!(JP3C
ze7}2-yNr8?JiMr|E#c5Nb?(i*59IFV1dFp~5@~tY-usl^Xwh?K_;&Gaj4xzpX}#KL
zero?(wSs3|5GTGAEyMc9Jg+9N++s7EXD4KU#*AY#``?^QsC+$#vFpEMwd;j@kg**U
zuPNy9nQu*VQgM=q4!7Q@2+&(DoOeI!ZZWfeQ=&ogOqBCGdsBfDFFs4ld-5qqOW)mI
zeek`Jv*mre{lGlKoN)EH)IZLh*y-LVI?ijllgNP7DlmrAv3Lwl#!RLP@2Tc(tDu;#
ze7P{JDcK0l1m21_n0sA~<=5OBoBtNLnJycsoAj+^U&^hwAm--5uk~qs*~ofD*+(v@
zh5`L=%N-ha#^dyAz0;?C9_qLG-1skL>8OZS{D7AC*PTEcWn$y;!n6Uy##7EU$E5fF
z%<%1eUigotybR2+3#G5^_F}cKWj$O(EiT*}foHnmJ`QzW@O<W7U!X2LR^~G_=~wze
zW-bXT-vMh(M~E|`hThhV<<tqW4*H<p7MK&qLd7E_Gl_H<>FEvL_f!nGz0sFEnR8z*
zyRn%}UJVY|{`?|*f5VibBq|yh=i+oYL4hGybZ*+-PnEMr9niVyG7slp_LN7o?*0Ae
z;JX&F**VYk@OKl*xrHs%_3Tt$VUeHfgR%#E!C45RZK|zqlXi8@M%7uJMwBNmjc(vp
zu&etv%!BYDVs|gI-aP0_6jc(pmU%^TW8d*0<DQ}Sq!uZ<`st}K*NGOZ&t5T_k*DV;
zb3zs-QP<?GE(s2(yvSoEHWIt{(mNO-4>YIj9S_8oeRF#+{XP>Ne&zYyz@?U`hUy5Y
zbp<zo^6DUiN7wASuMw;oH~%xS+m^)iJ^9LwoJ^w;>yoqkI~As>E{*dhKV2$xK2^SQ
z;f&?iU)*m`U-z&}>G)0bH^FJD>11$lYT3Nw-m7rC@etXGqBECIyK5igj^FoR&&oo3
zz4_qMz4%L|wM_n-x0!{j$FVO@RLJ<QJa!#kw9l%}^im`lBUK_cm%`rj6B7wTbFm_Z
zDhkKNdhL^l&gyn}B}F+=|DX%qMJmk4hBAXz;u=t$utm^9)XBtaN^(pL<L|Md{tg4^
zLfs!4#Z&=E)cmLBMtpYT-xEw8d6N0S<BCS3_l?HxcK@yyzgJWZ(rpwJR?#~VYu(uh
ziWh+<#^*=Bx@JN+$i*tx<Ox4mogVOTtBtyTKls)cU185Y6<BSN*7c>w)+#|Ofj&<S
zDgvHtTh#d`Jd{ws=6f^R<-hEtd_@B*c*KJ%Le2ADb@`s-)NoagPu=MYZTkf#xq5+j
zyf<*27UovNl8#>S>!0$hi<8!EIs)^W#h=@|#z;1<l7A7Fsf^?FDpc(2+<Iv?Yk7M`
zVe{kUXczLLc#f1k|5mAcN0y!MLgc~1J0>+BDxT12EL=d&i`Tr?T<##GJl>lZb8l`t
zmTY0TFyr#LAMFodhS_-?zugKBaS>C|zIs`y=S;4{++TtIE*8g-8Z!~Gvh78pI^zQ^
zYfaf5dNYZhtA;R}{-&6i<3h)S1-rGUJh1d2)0()SHP;W7uj$-+pVJcDO1$GpUUc);
zBKvwXH+`*_hWQwRh2)4=Ps{d(rS2B3lC0>O$SywHgmnxf8T*OT${elSv%D7FqOYko
zFk=<)QYbi`g9KJ2B-?{8WN1zA>Vh;n0RUw>5(!Ccc(R4Xcg^Q-`X15Xj~w}Tw7QlH
zI6^Bo$k8Uz#oW%h0yZ|^aJuw(@|!CjWr{hPG-F!5Y;^I$=bZ!uW14xo`04#iSy82l
zjf?KKc8__UGb!@ldWs%|{OaT3(HHFXT=lL2*{QKY)=P_{Hu>qzxM{6ab06u0dsP%L
z9uJ8qiEfYFd*w!5wlI`cZW=$A_~iAvl8-`4t3z<Lo|(y7I&W!2saD-5V3Rm6yXO&o
zG2r{BMm*KuTos+s@<If=nK8Ze*Vi}M7Ys_iKAQ9#-@BQ0^5V_-_T|V2Cr_@A2NPeF
z+dr<UsemeK3WGFc+)0>gn)$5rHrckzvfh!r`ir--8#bc-sPg`V=hQE<8~6o4H^wGU
z`~KG9(LZW9U7N62L_heWl}VlXZ@eKe*Uv4qskbU^T=M(dI3;%reY=2|0xLnUzK0Fb
z(oz{$!Yv0EUxvW9@@>NY@lUPD-d?U4nlCZg%Kt)j+4q_74;gnqR9j!U`e+T9YDG=1
z2kq%<pO*W`%1RJpZzc|RbJT4nP1JK_Z<=|BhqfZNpZ!jJTODQ76wgLL4MdC#oyEmT
zB`29BfTWzGG(o6Y1XY-9s0IO^oOrEgZr3p1%4P>gl;U}TOT7-&?Lj`;E9R%=g_}}x
zfHD5dQ}1UfFZ;@Slg+j#T@>LDe2l8@uQ}d`&FJ)(DslVc_ez0z*Y_!3(ywXpdu88}
zCm9`i5A^<aI)cxtp>os%oEpsSE#+3lOOk^Z3WS`(zkmC*5m=!N2`a6l)}NXe3%^7K
zm%0#=tx45kfu@lvGX?2_ixH91<{}<q2URgo@+(tR){!G~f8;lGtLDE6G$T1hH+4Jb
zRQsGuaOeM9yb+<f*rmObQjvV)V)Lu_JHg{!meOI7{w25i&JHScl-s9P#6yD#16Emx
zJ$yP`_sU}D=!2R(?-!x7-1!S<(#E?>e!f^@KT+Zk?u(l2k3055%uwDQ4O*VgTpDip
zbba*x?PLBO+G^>Ok$OC-hUK!Om+e0J<r|n8Cba~7y?yJWnxTD`-Gw)SO&1OW9K+`s
zu_COrgHhFnkhBF_WRUuyUD`IjUGn=2Cll4)S2-;!3x{puz?47^;IE(2?nkC(cD?eG
z>G0qS>PSh$S548@yc_dOLbIUUZS&4Ep9W&iD271;IRFiu@I=F*Hi9e=v@zV6qhg3q
zZwkg*qXL3>mHI=|={gk+F%^-eTY;PgRBy|oC$gq=Jp6UpYSKCe-t}I3vSEVQdy=Fg
zIT}-M*4NB7?poq^du7I$7$|Gqxn%S@V140l_XJzD?vK(Hj!qm=_iq8LDL1BTWu?A4
zGC4V<?N;Sth0wjr1Fh#Txx0I`-u3kwVsdavjIMKms9Y`o)mkH~LUKz0Z?00QHtq21
zDtT@9hSu_w{D%3%sE%Y-RH`>A%cWxJzWq^sdV{H!S$OTE2kBlX;{4?oquql#wHN1v
zK42RaebV*0?;>tq|BA~!h<>{NNn|>&Jo>(5lO}}==TOQh-kuqK$!;Y^N8DeX`y{W%
z9h=Fv&9Sd>O|$vGhUnY4gMiywlW7lqemenx8L;w`92fCuZeR8es=U5xt@5YJ9m=mh
zQ?6;MR=t_u6<P81j)m>8%D{zWy${*CIj?mGgo|zq=bHI6%MP0j(=HYiI7GjUxVxN}
z>a?=&Z)9}D)m(ALiD8;oQ}iqsYE=<BMoZlS8~&}L4(47mOr^c3#p9P(630^=_1E~x
z+w#^Xj{NGwRlJME0n1E*0>vE%DiEM{H3kR$G*DHg6Q~3XKnunGC>zAC$axf*2U3*D
zhT2J8S9}%HwXT^-AU8IeH}9VAz&)WWUA_=ke%a_;TeNYQZ{?fg<VjbdDFc~zx=o*L
z-3U3(Z&&?q48*LQ`6fKkV!Hf*tsl^I!TD%8Kg{0CKzlK`Y1*&x!oGDSOmhQ0I8aIT
z(0aWi`R!A%MC^TLj+9G;j(nloLd|{VO*P(@`LcdgU)yX-zrTOwmGkR@+TAV|I~g^1
z%~v<wV>Xn1dQo<l?q2dqt71mEZD8B`EcPr43d`+IUkVJr_GZ?>HSFv8@e`MdJXU=g
z9`HJSqWe1!Xho-s?&efIch9PHmKQQa#nOjh=)SrdQOl<njz-E)87r$ax6^9Ol3HSN
z>>Z?)N+Ruju64>ZYPPXJHn5f#@s{lGzuF+xT=PHR9;D3N8|h;hMC9E&#FdXZPvYmL
z&Nh6(nyoLNVXn?y9XjS7n%?ln|MB8g*9#Rs_4%<!EWF$`=e6{Y-##xrufFc#(s5Ev
z!eYmPz|_e2UGK3s4u}k0KMdlB#E4b+jmjcV!4~1^_F-r96FSdlKR8w-Mw3nG_U&EZ
zKkIqsA_9%az#4EQXb5uwhk(HdnWMTW&{Tp(qxk`4Ljb2^lCP>IHB3_mX_}t{>x#Fl
z+TT6S)k?3s$|T>bkEGdIrXL;1v(WOVy=^jMmU~CLhg#>XnprHGe_eJqHy5m!4C;Bh
zbKTxGB|U_@@B(F-l4~LNrmUEsJ6*EsfD^b?%IjAY*)!|!i~7fQ{2FU^Z|ZfNa+}@n
zE_KD-*mTQ{rFoxzg~nMI{wbb*j?1FY?ftan;DBAf#(vR)#*f|Y_h!3GC-$Bt9f<vY
z{@1B~;*$@=oX?;4viI(EXny}Q|AT(%>P6@OOZ2N_`ut&Vag3?8c6gu<FD*8&>rUBO
z`%<GO*ilfmZ1yK<E({!lQjJ*BXHAC_=kC8(dl=|J<S8FJN1e6t$#WelOwMz9(BDw{
zATQnG3|XeYrY_0iSYeOP1hw$pw3`pL{?6mZ2N^NUJ@}lqlm+QRn1EraZ)%PguPak3
zr+wk$VPs3+@l~Y~vHcrgpKq^?tm^+n8_jnWNxPmEaOKOZ-=}s*$14`K8>S^pmv<tk
z6lAnlPgKU*r%h7k_qqJZnw@l#TwqN^{Je>O+^^liIaAIGC)6<x>^rXn3vo;Ks$Y`s
zFSHQ21X(&Z37TdoZNuqF3>~471SBr@5jBX2gxb^4j9H8Vhf(0k$$7>mKHLxi`Pi=h
zNj#j2N!AW%vWfZRqA~7Gv3qEf@p3&Z%gK0z+)s{mFrw~h651&N8<l#73EU5=L46K6
zSr=y-BdiMD@B$Afe1FzD(3EJ^*W8rvc5wNP`j^i{WT4M|ZB5HMeo$>z@Xq+Mm7l+-
zBzHNPp<DY)>EeYLiLQ$e^LotsmKK}bZk!4K^q<sIs{e-XW})K5Q)6pA{hL*mIo|4G
z%B5+`1(KAc7}ai<3a!w>`@zl&#=194|2X%&yhKqm-8R)aqN}-adRX<R`Um3?!Ed{R
z`~GgJ)qCS+1`Rvm2J|frv2iWZiS;j+M(26WiZT3N)zY?_vN)5puIa@y&!!<2JAUol
ztLJ~rE*8(uTzx%~GB04%*dcfQNa;ImjnC_T536E&_fJ->Z>#vo$XEo+c`5o_7h%fU
z8#|@VMcun?DW+#0jd!?~u_^yW==+l%*Wn%w?)5bN`AgV%^~u@p$0aK^XK(AeTsJZ+
zl<A_$|HNPY@<}anA)INKLvr~^|9vxW99bZWC~q#TjuI^KG(R$gOp^O38;^UpysJg6
zX{K|JU>j_BQuw-jiXso-C_|tZYXGbFa$W;~3r*%gkeCcWWKzOt;k$`V3n)})r%AAv
zrQL{3%i~Pt*E!mI=B=k@aR`}m_i2c7gx4B&bK)m6jvAkNVa#-vHHlTh=}dgztgCgK
z2`Py^dt3bERkN2qW{(PHyUzY!SdWsrTE~NfVXv&aDk;rNqQ?By3juHQrSBzwH_XRr
zR2g1z5Hhm!>}qJf;jGbWIK8;yP=>sDysyJyeWo&MZh5ifh~4KERr?Q7h4)pM$H}7e
z869#qT_QSj;|ffvz_ET@Q}XT0zG4{-!^lbVg1p&XpZ&y@`*zQ((!1a3`KH-F2tI8D
zqM$JW18Nx#l{J~vR(QWzno%`wKHGE7TD?-++iJ#sFK6z|<<E89^9I%V89pstGlw+)
zp!6pVcalu>zDK*C|M&jAe=wcz9Ac#Y6N+L5_Vk!!TKDGo2L@fkk|owlY0M(CCo)Dl
zt*f-pky^Vk5pz-BzWv`Hx^f3Micanoypp3B`%qKFEW~t{{*3y)?fXD@)&4=F3~u73
zW0uk)?5~Z@T=$7>KMBX$>7ZL1QXJ!RXV>-M>rD=CVu!AHJq%dlc5ZumCPxVQ)f(`7
z=xpSzjf1ws+6D6-IhQ?O_sHjFo;Jc9?%%*dnG}t1?AD|Zp?Mq}CIjG51Dq=f?}`pq
z4`|OJm^_)@)46`fIx_2agh`|7y__Cvr&f(MotzUUExrYRo(lFoH=*rkmS$+odzx~?
zdAEg@j#-Fzxk}#8a?ed?F6~D(bPk-dU%lY%<UdVcMxP&b)v9`0PHn{)Ivpu<JKFY1
zrb^#Y`raF@*JlukW~Wrt{mqL%c<0VscL_eqBnR&OVSceLuExt4-Jr75n!_D%R(73Y
zM;|Y<-)MAE9JzR_)4|jDMwGcWb+<^pB7=9bUm_$%t5=0^+I5AsE~qt;`0V0Sl3#|`
zN@n)@?C2q_c)YD1%d$8|&(+D5?Y63@v%l?fRv#<!>p78%qST=2YLdSxVX$yA@@XXh
z;=I|mPowHLx2FPUS~GsNzwya{xS+Oh{(<e;U>W}Zty~IBJFJZKd%81VS^CA<-TGTf
zjqAPEpHnJ_jZJR|X~o32>AM8|DOVG_Jo)wScW<X}&#Z?r`CEl1SP>&!-^V?R#H5^q
z?pm+@r{twXNB(?sy(%n7G-Lgg0<*;S7iY0+mtQ|MOId54%K!e7`f_Tcahm+rCeEr;
zx%cx0cg@23_Wlm}Ftx4Kqa`cNv&)J%S~HAZG^|faOEoOSnh@q%>*|lv0`w|a{VsDt
zv2-{c?ge#$+Q5?`?$c<O`O4ESBi1re3Z13Vs{KcWZU(j7(>OqHa6gaP>^W<6Fw<O^
z#jB#)i!P0U62$hED<<k9HY&JH!ixLxDZZV#h|nnC<InNl)FAJA)!Er&DwfVzMu+J=
z&0mfH7uldx)#WCc&!<T37q2o!zSx&5=3Jf#X*bq7b=oOWE;ZO(Y2^XOeQ6};n$yGT
zoV;ll-9L|B$yD@43=@l8v>8_~{i3XxJcLhGl2(nT+6*T&D6v1g1i6(ixOaNyKZ!UU
zaW<EE?`fV(R%OmX=;x!aU;IZ^d+NNVBn%^3tFTOhsTIyC)tOoD509A1ZKk_szt$I?
z?#pge?6X!0aH?I^zWLW!7hUGgUx%Gi7yk#8Lrh#=*DK3VSG{*XP6j#FY{pqHjM$%9
zQ`^7wU-p6;;~fd#H+(A9O>Z<kdUt<*v2mU}P%|H+P&V(du+!D5-KzS|e2MSOHQX`#
zX80ztYg|6dc;oa`&8wcXg7yB@^-}1hLLZ&_CF8M+Z9dbQ?=v;V#n@i!$sIr4H5|<+
zo+EmmQts+-Z?%keCOkD8aC#HG6xK6+zR_~sXH#r_Y*P8Xi%Z|z&!KAjJfT6qW5R7O
zITx7CFBcH#K{((L#T7Alj4(5)2zRotVPC9}NlB<Gd>I<M=aJ#Ox4!2(+I8N$+qB6v
zw&{iH@Z^nwKcsNYy_I(T&Gqe`YXx6gWJkSC!km#&Zi9Y_-o`5m^dYD10k@;BT5FG{
z9@>ALVlaQ#-&pZ+QaS#wvRKf{Q@%-zNy6NH;-FV9)uxJB+Leb08a7Qj6L(sqsz`|#
z-MN34T)%R{8Xk7RO;T~uY^f|@D0o96dz2)CO=bYC65Yt*y;Bkq`li+ssypU0kIOpL
z-0#jVzWH~VISk{eRZQNObeS;{9ngA~l0DRkwRbWt_Z#w1em7~`Y<+6;*b&18)d@A9
z%CqDBRJ_=^bFq`}dtUdi7gtf_Z>^rWSb2ACVkY4Fq>U`@q;1GcJ-nFjrb5^&?=H3P
zx3*ud54=7+kXE<1dpnZrqM<CqQVCG$e&0-HJ{t{HT)d#UD~a2`dhLocAxPOrW5jo4
zn#AwaX!`(n(+X&BH9i)Y8f+tAVaoepRH4)MePL->*6LIFZFTPo;<}0eYX5|fcU@T=
zQeD>2URjxWuxjEr6`P*+;WoMGY_KhUqXOYS=)^C49PniJ^32u7$5}l@n4k=LE&ml4
zCFJ~Fl|l)EPHJEYI5;$|o_KsAx$vLu?l7%6Yc5|??j^&u5L@JP?S;ln)^Mhihql6B
z`35-e+)C5hv&zpZN@&*4`Kk6T<Us$NI^4YS;VIc}C7umRjIg~CdsL;>Ei%hBAu#5-
zB`QwypRBz5Q5DU>-MQHptX(4Bwl&3@RXIBr^%f=Hnip2p$#z~SJ0;iM9^lqxnWHZD
z$z_q~?Wj@nlm9V4XQJw$ouv-EJ7tq?B!Q+U*g1v&iL+61Oft(jL-mgyc0aM>*Jy1~
z|9Z{oq;^(xziMy$^QbxGdOpAJT8m)Ke$mzu2g1|wyj$PKE_~X%dodN`s%Z@iysJH2
zSS)nDZ|Tp8fn~qBi1ptmz17I8kKPEBIm>4<pj@)gdp2KKF{NYf$2b47xmvZ{{BL2I
zV{`X4dBh2A6L{6jNQ8n+HDAx^%FMEZ{E*y%WrvIl^Ak6FbULzPZj@HRPm+~0qjej#
zniM%M8hZYe_q&Rke;70Lj2I@qqXyHo+%%K63y`~s_+<jO;<5sXDQ#`GP<q1L&wtrt
z`mJ$mTTapI@r8iFZ^lkN#ZJFowl$nj*B4fOY=o0_adaNnRVt&0Qd3{wgN`D=D4+^D
zTtNU9BhK!v`X6OpPp!o#C1*--XW=r!K6^VOCq#Apyt*%@Q4+Q-BW8k?iz?5>{`=wJ
zR%vi|RM(P=OUZ{XUWsE%jh<x~98B3iI44HU)@&yt`jvL8t=s(*XU0|I<OZ@VgRJyE
z64Qq_>wUw0x{lG7m)1`jzP8CjvjT0V4RpV`F^Wq9_r3dHPEAp-cb5l`&FF|a!sT8B
zW1n0s&0o<~pYkmA?0lRQWJuu{#~RCKez*J@;Z=85i9As|ZyUI~)T8k0#N3z~Q$<R!
zV1Kc)+`N0%{X>dMX!<RuY{wqqHmUx#Nh(vhx^O&?wlrmqYg{_-T7KBRXZEP(OVC<~
zT+pm#Y4~~&CugHhlq|owFom@UvvR0zbmKn{6<5)iUuS;Y|I@mC=RujhNkgG~z}v$9
z#5<$?1zCkFx-0bI`Hvk-n*v5okv#W?mwPpTSf2k}eDaK0K$(WPOaU|Jo_)nweT&5z
zi}sg4B?V`$H~)QHY~IC3QNpPrv7<<NRJH?X@~-_J?RB0rUoSf#mP>xsFu8GZZDmn?
z*IV!U%1V)HX~DHx{jq7g@${8-%NySBb}nreD=s|b4v%Fi*X01gwJvC0OofggQ~{_w
zh40ANe0KVC@nMTkzRXZX(lm;pYU4W6lg$5co_mg4^fJJ3P1Tcic8k}b)aX=uCV}}a
zre|GqB(}KrM2KHn+C;Y!jH4(M<o~>_v5c{spAhYuTk2C$^!-<t_<<0=Ncri6hzrWf
zZ|9><Xfo1XTXVXL9!2wnY>l1fQ>o(}ey?UahgrN<dfrCv(mgBVPs^@VK8kj6px1u<
zda$6AoQAiGQ<@=4$q;ct$2aHueYfM6uj=!fr5z6Vm*+k@1t#uwP8G>^m8S-b1~p<g
zCcUo&7xWvsz1ef=ZZ%R(kj+kybh66aqf`hRc={~dl(vmr{QdeHOSecTnV=L4&!l?N
zC;R2*eFwJ`yEiI@C<7xYddiGz0y5K4Mox0#PQPkxfvt4GwX3fn!5G>#ylg4Ayw(-*
z)`?xpTyek5{Cd<Ve_i5rj!I{<Ky-Q@e>(ZOvH61WM9yK<YB+B<JKnQ8REUW+91o7<
zHzWm<+*Ccw8*2g{I`}D%nzuKtE?4}g>1MPOUla5psGJUeKS{kqDXz}cIN#z>JK5>A
z_w+>2!5g(&ug$oSG!^l?+Qoz0pFTN9*c?nl%<RX+JfS4UjQwgdQYR(5ujWWOhCrZ)
z!hxcw42O+nI+>abnDo#2Y^THFTm_L5kuOfv&c8<SS3)k_6Bw2uyvW`$6_vm$k1WZ#
zdhOTrwf6UqH7b5n+33weE6RtOn%_0o><sz!zO0y~*6N$-=hK9e<0a08L1C394XV^u
z<h+sK%FBP>rQ15cX>=`F{t9(g8R+U_xk70ku~sN)QgGw(z%jw7sJ{$s^Bs)+?AVkF
zl9`DXSC?xsMlr<PmVFw?Tn^nFn{TbPH-7Vc`{vX;i`QqWCZ2uI4VP)NBd@5=+BaM*
zoP*jE*AFWc?j3fG$=$irp0qH;vb2m?eblaS=DeQ69Sz?Ks=arv&9HS#aO&lIMQ*(A
z&R07=<rbcDqdJ~SfKKOKbe&*}fA{-?|M=p*_HuX3oVs64o`gi<pWeZqS8k;1A9-|O
z@8Vp&*<2X!QE~ix*e@n;PBdBsGK~%dxT;N>**Pim_yG@mu~m8DyWW=nHvHRCFN@VS
zYAk<pQ9mmm|Ik+bpvUOKdCQn8<EiA}-AB7SE7KR0RYSVnkVS|7MsK78QSsFox0!u<
z;rsKyop&G)1aw_dTQ?1?-i!Lyei%^}Fn%(`H$P*dBFAW|-7=n9peA~otb-JS#RAwE
zg`y-Z_cC(nx&AS^=9~CB#X*Z_;}_K;6TL$usnt++eCaFb(|?+0e@~;KI?r)RCd1il
z^|y<)el0s2%1t%NpL~n-18pS@2=cY^h4-FHXgz6o>vt5Bdg4TD_P?iS|0HNBf7Ni`
zJL(yxqTF5He{k-0MV{tsO{#-SS*ze!2}e)k+h1j*3nVhhq26JotJq+_KH;_lEm=B{
z4r4b^X*$_rAV!*NWBD<7Z+zf<_flp_z&k}ZZA?a&&q?QWToKvQ(l>WH_@qvvTcG>}
zn|`%;hmC>1`Sn*)TYP;k-{|z%GFA(7XjCm(2w`Xt<olkij+=##+b^iic18NTCKt>s
zD_J)IIwtE5JQ)TxVE}aKf^~R|vAle-zxwa(kKaXVDYjyHw%Sz<)AJk89zXWmJMLl@
zVd++7?ip8pSAM0o<XV`+XO*WdlLL9>V;?8CpySJo^Ld^Q3G!qyw>nF;)hi9Mqn;Cu
z(z^e6#XBhGt7WX#n%<3UI6QV_<xeM9L5-IoI|{7AYt^}<8)AOp#-7wsdC#QZv<v@z
z>S<{&wtc@<HRYn=KONs|#CjbUXWRbJEV3F3)g1fhVJ>pa8s=oJr`riPV6lO*2rk$7
z)aUj3mT94AhCy;bzF&vf@S9<L(OyQl@@R?tqzb=}$<LJ&e2`8~vzqcga7*%*@Q@vB
z{(kY-gf8bRxIE_rrRfI&HM6Mt1X&Le`NF{U7YCBMBGUT?TJK6LFPb-WpHT^MsL3+%
zxLr0Q_VG@usZmter>Z5Zb?GR+La1G;n<9Msez~Z+k8W1A!ROl#*B|aQ=D2=rmaGhO
zrjI*CY`6KK(sN+xYU|4#myfovOg2yt2%TuRbEt;$z;}{e0cti0;qn2ipZh&3_4b@1
zZui%fIGHTy=QgZ&HC{cUVYZ?y-kebG_&L1KTuu@>6*lhrcdt&Xi}u>X@P_u&sO6ZD
zzy}XxUR0+WXfC>?ZAc|3L6Z&0sqk3Gr-b!|tOm;V7uK#qhI_>J{alk36XrseO7V==
z*-3|R2ggjRePQ+e9`Tm7@TmQ^{qzc@|Ah5R4;SK~vp7L2RZTyiFxO>%VN6($8+Z<T
zS9%X=)9m?yqj%j)w9Y_NHKA<EPx=0zyxtEdTWJ?}oOjc9i*@Gk<>2nUVlJi`n|9Ae
zuT3*M({xKDD0?lr6PA1Je1)?NmZ{hU@%)kKdW~vYUGSMF&>1)wr9d+I*G6gpf4|3U
zg7a6(v}$3utg#`mm@TLx-?R6rpW;^stUMXfK<%DS#@mcIFeP(4D9bxMzSDuuKgit9
zrR>q*?70U)4}F^h%#4i{+?};Mj@o-Y2;aEUC7b1TaX;{s)AR@T0?WH)#=9p~Lv*Jc
zlDhAw3oXb_HE6j-n6_)DO33III7|49?`!-IoHB`=<1?boG2Lc=m;~w;*yXtLMjV?_
zUPK}3v+ryR+SDf(9OjdZ5uzue|9xuuDFpuZVq*Q(rX&-w>EX7w&Ic9UqehK>D}rhU
z3X)%H%DaAg)^$v&+|DaqwY8I)RD0h1WLe`C*->Qc1?FbsXg*5`F_U#ySG`ek!KW+t
z!%w-3rSI>bnJUQ*?3XcnWF3^(T6FMfnf&H9vJFxi0Q#dV@}ke&`f}s`*$(1zr6|sm
z_rcHc1yj=S+lsyNNI=C|q`$gG{f)lMCg*Ex?v?(VyFsl#u$^z#WI@Np#mZ4Nk~KD|
zK?e_9GtD|axfN;F@r1AceK5hZ2tP^w+Ax2c`E7HztzC9yR`td~$A!Wf$+_+){o}#G
z-lI55KBpq5a&X#f;+;vz!NBJ%7qwIFjBZ~)BZ+^m82CMe*XF>zyq7P=PlN}&^%)!r
zm7q>NYME>ZZeb_$Iy8^Ud*&=?A8Fhax-BcIAYwz3b3f-<pnFAnxudA*J%V9D2X7zg
zI1l-EJhmI%aCN>@Uz1k7wx>Gkgqvy#bMs)XWxJ$Y+iiG$$;Wrcy<zg!hD)D+^TaFs
z%sJk4(<)ixp1)1n#kB5sDm@Z*?Hc#3Z>zVSkVfO(B1<fEr5>xKyr?*DU6Xe{TcaV%
zr>$jz(NOp{L0xfvq4Axw<g3(}tGE1WLR2pozwP^edbHKlMQaGVy}HZ{aa|^>x_2c`
zbULM;v>47$Gp_e3p=xDH1Td1QJE`CJR{td)|63a8L<<iY-qj&3&Ls~DsI_X0_XKJa
zm%>PUmSSPOwYA<w^|Chb1md>lN>ELyz5V|g#Yqi9hx7rALK5|v-m9%|wHbE@K06uF
zYll-`L=+kAFE)?r6a^b`n@m?UHcU%zXH}-^TK3ZV`~H)DPTISv9-u$u1uv0c9miSt
zSx8%TyBL1kUK~}w(=9nw+-@r9t`<65ruBR|h_T4@CYyxiuJR)CUfj{jM$6YnE-%U|
z&_{&2f+pGtii>&!LeA9cb4|R=>MYA&ql@%ZtfoF4X{#>69`{Jj(Wq{`kskbtQl=y-
zB;myj!ZpDn&E<yC!?LD>@ar2l0!@V~^;9T>LDcG`;{C4pk>LrO%W;OMWW>p8R!OmM
z_A6_B_SdcF111)gcz;OC_xhJx8F}`0o2EAJKZtU$sAXJ_sd1bhdCc!G;!j_ndf@lY
z_@7Bx%0pe$+NNCJ+o>EaNg-5)c!<SZw^u-%^vNveZ+g}!cv!%KM+s->jeKFuy9t*p
zm0xwSmBIQY?W@^-W^F2wtvSp$XM}?n7?Ib5nhDzjBKG8_<!NZ}DCp5{rLr)2d_}ci
z^;R+SaEhPukxccub0ObpA#vY$99N)QRkRf=)mb5-?|Sxq_T=&TVpDI?_*OZ)R;NqO
zuYR_^(t$zWfF|u<J%$6eRm(;pC(>CcP^MJy%BiI#_P(@Ih*QVTru=x&a8OxOb$ITD
zfawSNN5=~kvl7!zyqEWtjy`^)5&4g;#(0@e{v~><?tV?vwMVilFKJ9k|5QvjV{Sy`
zBymkCr{c-@@0t$Hl{FLNr>dIa+2$wRw2Hr&E#P=JZvEX)pG_ObW+xiSS<Z$mmMqqH
z_e(nkoE*!y=^iLLXvw}~1l5{}l{`mvS?`sksVt``XK&DEBqEdPI#RRt*^zB<s?Zq?
zU%zaCfO(5XopO_PR!NwJA^yt#%oi!~E1vb6W=(1{w$>bmx5o;pSF{`MJBR${Z$A<i
zaPsl&yWtUP_zA;t35&&!faT>m<)oD(OtsP0ri$<NZy#TZve>jeQY@<H954Xy98Gg6
zoBB$UR1s2rr#ht{YvPqQ=YB`Utih(z+Gg@RFWqlep;3<PsN&9)x>`PCtu0!yyB;Mi
z<gs);-v^&Al~G<4GdL{haM7fyV=6s0MRDlzY{u@AGV&JRbGI{9e(0wC{z1fo-=lG{
z;d^tt-(NzV<*F}bjai~{+<k)*X1gTj#%sUbju45If?6Y?X_cuew`Mmdl7Dl1u>Vr{
zvi23LRQ^5hdmT9%3=G7w#(?HJIohq_>y}Z{v{w`KZROFDWxL!+9bY(lH~+BB(Hxum
z`ziQFz*AMSm(lA(pNB4muXlG(dfA*5NEM+_MDFHPno7L3`8a;v1D_P1G9>J{@GxJz
z0(-p(*S^+^uMpK5<u`nt_DW}cJe=|jcyU6+Q_sM7Qi77QpywL<c)x(z@2nWT)v;J;
z(&%Dq)MS_dtn$N>Pmzf-<<V-33^rZXM_0BMI)z=GL|p4I(5_4MRKS-xs)^SG46VD)
z<tWi|?fKaSn8|!2^I7egtROq}<7Ue#OQ~3gpESohF2{8#3`~qR_ng-5C?2<?vjy`^
z-Cmz*iHNMxib{7)DYdy5TK^!w+b2ERu_eoA(xY4BD`E}luTu4JAuD2LxKZnr_RUwc
z4@i4f1Gb?!SV{hZfYoG6$iejtwZ<SpHIc)d*`u4Y_d6^-9ry_qfuF;c;~mcbU2l7m
zUI|5f6(_L7k!&nH()|4H=A9y!i9$Dd<o#fwx%y|hcbrQuhUDVjN?4Md&220%ikx$g
zJZ+wOYT>D0veyS*|A&EO)nzY<K!10&Z@bP{GA)=e>+IB|9(TWxpCy-{zFFDz4tdi%
zXY5cgV#?dL*zJ#Tq9#|)xOjCA#<W>x>^%>4i7C=T7k5~f1bwIwQ)f*)b5DO4T&?;h
z!h{y2*kkFI->6j4UE<MU;<nz{_R;+BFMqm^z8yC9^ZsrcF|D5RQFd-syYrr6p@t?=
zPxpkZ{FqcYb$-^DlFvOe?#=U;DdE(#2>PrnR(Qt{O*7#WVb@+~<5O~zJ3JqSOT-qw
zh}6*|YlU#r9?lo9rU)0;21mTBry10Rz|TV>jz`98KKk>vmr$&%Q?6K-iSWYN@CRHs
zKR3E6rrpQ}Em5Gl6KwGD)Fer9gjeTVp4}97WXj0XJ5^z+%kzv#c1^Q;PRxXAwc5w1
z_Z^Wxb)9g!AQTctIw!^_Wf=RZ>^`w>Rr-~j(s>xd%^l6`bIe<`{gouPar9Y7phWBA
zVoUBR^)dVYTOWS2ERlcmRaHt=M1&QjXdS-1fNIav=~_yaA7Gx|T)jQ+o%HWUXoR5d
zQ;~sHrM_x;{mh2cy5^qgM{l>3E9W(1#OLh|(zY7n!j9;#X83LUKG&Mq?N0UIs6qUe
zS01H3!80qqa!LDyZ-9}1yZy4`e<8<Q$Puxc@j;16CgR~Q2Aowa=AF*|wcJI)1d0%~
zXdhNq5{k9hon5Z~I==3dRZYh7dPw1o%J250B2|@pYvzou6k!Wrt>69q7j^1Yp(Cm*
zqF&-Qj@o9YTM8PU?(FT>Erx95D<u#TisbV@QQf?J<d}DVxppS!@}!cXJY6BG<Emlc
zUH|fgG8509rX)Z6f|BGp`4lJIq<?V3o9WEH`qyGdog7;1bojlqme%gyOY|`9Hs4HZ
ze+qH14sLuPIHICt*Ad^8-{IQ-c8;~TF@HTd<@3;k!rM+N&uNQ=GrKJ_G+ur<9ByrM
z(bMSsr?Mn8Cp*_EUNc4Y>GIW+D$kEP3gwWKY=jhz@%KinayXJQf+&}>ynoldg(RFt
zq%*r^9lPzDa>?^B`_isfu>+NrP0Jj;&)?1<KNRpYJfG|e+Op~YPHZTs<u8wzhgYku
z`0h0*7~m})_voYk=Ba+Wy{Pq%HuoB~R4@zovra>9<C)ue4Qo@w&qQ<32*sQQ2h%J+
zXEd!NHL|hel6~rn?e(kbrN1bZh9td>6gwmyH9q~2Ts5~kXY2jq>o>Ak%(R<Zp<lCr
z2~T)rb=~2}{Nr@3HC4Xs*YVb*UES{8X?v?D(eK^;|0<53+oY~_n0nvWf45ingl6e4
zjc<Qxe^T;<xyt<df#ZvIcPlnt`D~UyS))VRXFF)EpRq7;wkP@Fps4!QbEN?>joOF%
zyUar|A*pO^Mu*gCOQ&cNes|JKzaF*rJ39HHCNUwZm8F{|cFYd9YagC!UR%iTaLRci
z-#gHpHs9F#v;IJqt&h)ZFWwyC{~_r-+}Up5_aBO))!JK&qDG>2QTo^`s1>OYJF%%*
zls>AcShW&c%@~m&#E8*W?FeGe4z)*z(U$h<_m|J{yZ?mub>HvfI<D(HUnk&$I=N%|
zaF|V@zNsnk4Y2Y(RMYcelq3R=_1*>*C#s}AF<w*;d5Rnu4>cAMCD+wvS~{s`I+rjm
zmxJ3$Zv2jEhu?t>OpIcfmO9AKd)4YU^won&KNjK5%t75&du5g8th|&*n@kM)l1op$
zs!nYy%+#7D5&|rOcO5>UlF@hEEtu;i^z?o~nYv|1DMn_-$Zqy2%IZsRVol-Zh$jg%
zFtn!DJL|^Ro0D5Or14}`K%b|MvVayqf~q-mE(+_JJ{m2h7_i{nr}-na$SRJ%7LZvK
z{xuq?ax`GzU^qxseNRTMB3f2h^S_wtrdVOMh6!})soHd*=u`4Z<n$*MiZf&GQhcBD
z5s%dvVy=@X*o3RQBc*RYHlThNAyQyn*oj(35W}2xD2)qd|5a*#bMi6LY`ekL!;|5+
zwaA-`QH~o}$`KB{2-@EE2nE5Z&~b1s?SWQ9M0oj3vFU3(CY)rI9bq0drZ4(begGXS
zb|e#LG0ZP1mA%lz`$WAj`Jp#MY2tB2DX{bQ!*;~O-LY!|`oikUkvb+9Wx<Pa0@$*X
zNl73qwfX)_AM5n3j>&G6GT#OXeb6@0bN6oBm8~*~Cy{5){%HnPlB{{IgQO1olH&Ez
z((wc8Y3rM=Vv-ZjJ#2g7pmemw!rz`CyCaL$Yl5FbJOU&<b{n%+TJj8)5_t`!o7SvO
z4c?};&mE*g$jKzWRogm+s`Xt$C=e94A(wU_+BE9Wz8@JFQ^pO3Tno-t_Zkb{A)e+N
zV&o5bYhXpB{5PSJ208k(WV8|s=ciR(?xU!)Mm5KU^KB>s_w1W5A&Fbymg#NlJDRC}
ztc?v&40x-8&4a1p`SXUJkg~ND%Y~1|*L0S<S7sZDYLGzM<}QTyL`-z06R$5N!jwqY
ztPdcAE-Y^(N_Ty7OFHu=(25O6Np4XyDbo54!u7XUl1tD~jQHbU{pk06=s{F612eOq
zK3sV;|KZy^Nfq5zPu>M-7PN)jD7VtW`0uXWu9_A@j>8?oL<D?z#B>_+kM`v1+*tlG
zW&w@w>fKWdb8ewV)TU(y8o_J|6x^K^W<uIdLA%Q`4OhP}hhLl*!Q)Vbz(6vvmKHb=
zEB@_yx=?t7<w41`Jt5LZ8Fs#uVdU%IztSfuIWRae=mg5S1<vh!yod;!FZzC^oMg8Z
zl&xkUrEs>kE*iAl5>mVc>Uoiy>EwzBX@~gxO)GIV$+_k`mveN-%olFx!ntA>PQN6y
ze-y^--0xG5l$tGx!uFI*Dem|osnU~$sO*J(N?``~o8@ZBu(VmQ@nYmYA~={?|2|md
z4sh(<osn0?JmT35;9yEy&4YB;p@xe?*j{^;Kk0L*P^|3Ji{N%?tI*`6M7vKaD9r$u
z*e`9tF^YGqReQ?7)spOsN@AHKHIa7GK|+E?s62q!KRB@Xw8@J=2=_{FWAF$2(4?s1
zX(fHQnUX-#04w9BCl~u4O8(NO3PqYxLZ8dXp|j$U2p*$r*adxx3BpC6E&RnUZmZUD
z=cPqx1(KUsIq8;N0H-|1UDbKBDWXPJobFn!|C_<(Dre8uHZKXbdSJd<3(;=_y%l&*
z)NR4(*Plg`S%2>5A}+{-6eC|dVRwzIgQxaU(ba?!&79{d$S@A>ACKAIkKR$4!RKv+
zE*y(fv`o4iaP=Czz7(^0*M}{@YJo`g2bK=STj2Z-vWzxV4kl09(iPEGPfl-apKw0F
zV;c{b%Utq_ej&vsxJrRN3J5iV4x7EF3@^)Bvzn6+Pj1%k-of^9MC~a|?=MT*+7&&k
zHJ(A$c9c;09QuULsCwx>{2#7Y0ISXR@+0cEn<BdoJ%>G=@U@FLQ|pqnvTbfq5X$JR
zVXuLhLG6}1qSnC61pcua=i(yh!LQrc455$3T>MwVmWD1&i#As=R7{-x<u@;+l+>G6
z6y;Cv6Bs_dx{Or|LDx;~{8o`4AN3Lo^QG{bbbuOnB7lCg%=rz(aH*B|&rJd*U)@!R
zkl~TcuQ6p|vhcNNU%Qa1?m94zyh?JnRSJ@MH(^n{Uer)oWGZP1h<J|&J=aT(V1FwE
zhB!ZYWzr#hk83oI&tN`>SIwhXvIcTReh4#ln=aH>=9j;W@Y~{s))pKttQ2roH*Q{I
z2H%ltz8@w}iry29TDtY!s<7HZbo?3J>M2e)0Te`E#LM?*bsXlXBQ_m3@eb3&nIcv=
z(F=uM;2h>5AbNujk!}4W<V*IqPpbTa=DfoGJ8+jz%o{^=oKJ%G=Nd7gcl*U7JJ(q2
z^3giYw1d;xgH_(djJW=(d*aJs<h#ufQfgf@pnEsCN~V#Q_#gk=Q0S-Ng>#1T)KE_y
z^>q;$TC0YwV%b8Zb2%-!fzWAfc4S#n9Z0QFTc@I1-K13q<;07R_y4ggX|o9@ANw8b
zf(@bYA8hgA3&P|@S-#-U#yp0L$VqF9t;$hRq;Gw?zAFY_j94~0<$SBx=2=W~*zLf-
zF;u`4$%_!Hh$AbjbKfsD7;Sa999!gy8Y!A+fUfMht=WkYW7I}UU+)O$<OpH~g5D;}
za{En_strlIFqK-U#HBm|&;vb%lgOpEpLQ$}M5A1mTvIb(_1l?}=d~^ltF>hzK~{6c
z#{xbmm^v4Pq0C!Nr^CR>Ov5k@dpt++mjx(#0CnE|m^*r|wL+%5n#?ah*q>R_;K&q3
zGaAd^)Gu*OZfZy?kaEm#y<xjc&_gq@!}?{k+bxR7EB+t6AiGJn{Lm@=ZixvEnkNfW
zmEI*~!Bm%uGN#gm8IQ1VmsRP5rl<wIl$nncO{!%<$FEHT?y4%P?FchSkwO>D?G_~-
z2{Eb}t!E;^Q&6U6^|#pVcdx7av#P>89L20W&Y<t6Hp8m0W0L$Ytjc?odbB!|rbOnl
z&X1!Rk;p!0*zW?ix|<=YcR~~_zsp!a{0k>PDW~SB3Xd;(rVZz;rmfwqo6HJjsC~rR
zHAS1=Sk|P0kpaS|ZOF%L6aG639};w&)X5seJuLC6g`K$t5GawGIbHroN7|oO;aWPM
z?hp^rt}m}&a0u{@E>Q@Ytkp_aUewT4#yM!qOrXjIdxX`zR~kTkc|0jGic&EOs-E-E
zdlsY}XC35=gM266MO*u)g4f|K2Qo`?iMvdccP0W_LO3%OZhf9OCr#ph@O-kk!?+e$
z7nl~w2eY!Xk@RTsu5wH|P;0)^c2}Ne#>`mdpf(bmqFZhSDV=O$1M@}kQ-ncNky?4N
zaU%#78n3i1y_59?v%Hm3GIVcAy9QvI5Y)QWsgOY+qOG9zwL)CF_wcri43#C)0A?%x
zQ=N+)YEf9%SF6mT5B($+DZ3OG6_$rIT&%E&oZ$*$Z_lrvG}AHuxB#EoxYi_>%Amw%
z^gN-;;ff^DItCsJLiGTzE3dFsj=ey7?*s@3`U&(Pi?{vXI_1<$aUeX|7qgZ+8RCQn
zKqwl=edN{ow~f@McvWClExe2mNM8>w@weDCC&%2dk+0^rxtO0PTSWvK=AlbpEZ@uX
z-`y(R^Z$e^sWHBo`Fro$=gntM$O4G2Qh6PK!z<93oSM%e>)jM|)i+lom|s-7Kfd7C
z#RA_tyqeF;r${)^msY+!QMpJ_Hg_C*<#U(DWKL)@hQl^sP1DqK<I1fkTf64+F3!C;
zSEt58TwHNT)Oxu0ql{l+ZPbFhr^HjfP7Ns()81Zxa=@0x2F6Gw(4)v%Eh3;FXP6|s
zA3>Nva{C4iL4qQS!|x&Z1~vGZ>hHc~iu(lLL;lI)x3{!ojxHK%=KtBzS5e5!qAVbN
z^*?Pf@Gamyfo`P}pM*JkxML9yvz%L`9zc|lsr$Y&#1VZ$&QtZvh2;~rSjC<Om9IJE
z2%=0p$uk{eg+MxWC6JSqMehwG5+It@(hU`IDMG-+?8fg}A2=+DbE>eJNo7h4L;^1k
zgeTUEB;ixW^JL}RmLMjalxKF0i>m*0>ya1B${vw89t$~8*+TMnrO*xMHUPQQ&326#
zxiK;<Fnktd*x)o2gVuOmzIqie$?w{@9Niq&lvJOpP$VxIh?O9>^H-Kj&Xp*)ThVVX
z+J`zFJS+V<1YX7kwBuJ2WMqXhn%|G%$>)175SeFJzkFkKbBHg;h-J{;O|K+g3ck~(
z$m#~4e049qxQhDpe)nSF<CHDC%UqDUSEairl8dn1)oP=h#1!!1U1noYP(j@j6S|tz
zD|Pb#PidB`W6~8pmw1monp?;F8B|q<jrO{^KGjiBZ$vuQ79X@amwOWmX&_pX9bJ*#
z$5Yw34aID{9TIq1rLjLOX${kBN~yw$HNKatE|C*f8+UR8O>gZ5v>ntHf87|DR#%7&
zpD%8^dT+P>H4ut3xr?~r{_|5UbE8Ajn~gvRzV91Fh|p)oWxSmxo!Qo`+{@T0edm8T
zOyn_9U_w$=;zZ^AuCJ<@qh{VEX3I7uAq&%aLipE~cdrd!1ty~|RLl>KziZ50sNaIv
zG`Kn%Q53Q{E_u<-HT3bB<r@G~t_%m-TNc4{L!|1oF_4v8+n9Zbe|@L3cD}ac*!%2b
zrg}eB82Hj^2H3E{*oH_)YBhLPHo-4BML@$Z9B!TAh1#J&N4c6X5K_VYIVuRDpuT`t
zg(h0SdyEOVZJQatJ12dAA1`eAZ>RO}*y8SMoDtk>@UgplLHDny=^PY8C=qgFr}D7_
zM;~jO*oc>Sav(+zgG(BR^xFv3vnWe57XSeGoO$9C(}~@D6<qg*#vzaC6;*_Y!v1#{
z1~{3ktrg-fLYd87a4eO!t#(SE1{1cC*!+i6M$IOc*TGZ$v&drTRlO=v2E}j*ZvJ@H
zaDNx)Ad{7n^RvgcuD@chOvRJRe2G_khk2cM%Lc6|w~IE)Eq%nZefOQng!S^)-C-j$
zsI0>>@|aq(dbTM7GV#}n*IAd^CCj853a>D|bEXzYyw3aQzGxMzKV<01inj3KZ|5Z9
zi?;Nu#VKjJnr#oVIJ%pJ{<DN@q6a5=hg{6Ljf}6WPq<r7Zxl)Qz|Owx&tlVe95t&k
z(4kY0;3bOWLPwP2I$Y$q^Aj<t!Ph&T<#n5NS!i5NHPgKHRph%#eOA^8;?J88;FBM;
z&)asxT7^|ysrfB-=pD)Yw9DBJA2nFa>E@wa02h5!#b%J5uyIXaB~+KE5ud16g>YPf
zDU!gx`Ar>t*9dWUjgk@?!RH;iKC-Mz;?uo(Ly@8CTVtkv#MS#tyy~R6pQgb;-M~90
zaA_`QWg(bFD~D;MAeI6N`wE<;oxemBZ%Sv$dN^YVh_Ky|YH)-}t|fg&PMBQ3iNapi
zJ--ve=LTzlkTS+$NS$@?o~J=RXO^UnI{L`L)D*gKOQ))el}?tsmIE`zF!eZJcm}<#
z`Iv27bW7bz-7j{Q{Zb?U{^rT|GRZM3;imX>e|1Tr7N*e@x)T8ZH|&^t`)Y;l9gA)i
zNho`Qe<!}`pm$xw<>!Jgw%YU`+n^hXT?6FshiM)POv@}vK?w_w{_}nbDr(%QyYjR9
zqKB%rp&pHXsNmgm?b*{}1FHSnZyCe;!M3LVI5-PR^0licseYS=^(Fe!?ad&tq|h~E
zvV7ED_>mojv>RQ*h{aoCN*zLS32P@QM~D;C#dm(AOh5-l1B>#<k=x3pw9cG1KgS-+
z3$fG~)-lPgCR(O&+esRhU2SH_7E3s6wY?+MBCK?g+3EYi(5OO+(Nn(QZvJNxWqq?S
zSKHS?C6LJFpJZH#lK0GIHHC>`cZu9jbYMg--37-*XGfR;*b*4^xb*<fYeG_<F=z$v
z^X*09Y-;1v?QvxyCK?zQMs_Khae+M*KF4RPR<kQrkE(9SFtV)8O0O95B5Ie#M}8n=
zWY|6>Y=RwYSp9rw#OuiAQRkHbcOU#~w6hE;aJ-T3;X{kG!Yxis!(B^E;{IOLroVC+
z^tt!AaQB3=yYuupk7AZ##N#%mv2az5z>XKCDSwG^V33UExdaiG`{x?xCfg-OI+JfV
z)TD^GmMm9~b6FvH8xr%?gE&{`dGSVP$>faSSR@V7x*y@|KP#aDP20Pk!+5w9U#eiz
z8h-ty>=WgmSE?3z6l^8QpAV;!VRwj;&EZGYugkpZ1iXl^b=F;!kqX0HlG(!=_2qp$
zvA$Eh=iRFEfwb9~75}L)nviFi>o`?JH(p!&xQB1g=fUl%7pjgT=1~j@41OH(9O?dN
z4Piww)yOP|Wp>caEDmhlEf<UiN>rg2maU<V+9p)k8KYY5`xl^DBTHd@P+AKE|23xh
z@P~wbTsvEHg?&~0U97>gj|}W9p(5vp5QHv&UfbxLm33<b!dczA$(8Ul7dt=X%X~>n
zi*0A+`$^&Gjcei*vgq!C-52fJ%VSEprqXFz=B4bPq}Z8r^|Aw5695cS03HA%qaezR
zQ5&|GH0HW%r7asH)r8V8#!QB5h&wr`G5QDeGvD1itXdc<FYxj2QQ#2njw-nAh&LJR
z_n(F5x4Tut;mjI{+q#9#Mw_QI6T;{ye)&M0E}sv{YDE9b_k-q>c)=V`NhDCOzl3>;
zL^GMKHP&~#*+@tq?h}Bc_Yl=YNh(~l(*sfZ%)d~Cn=%?8zrBLZu=GK)x^N2v&B(bC
z4QAOYSCgN;`SakCU!LN3QUAuzH4(@jQ~w=AAXmpsS9CKPCET?_zwX6|kSN*%)%aJH
zF^*01OM9zo3VzL<Y@C&~{4k6wel=;8)NDuF)($=Bj;n2Pg3bi-gNmNSXAU{vPYg-|
z896c-x?%#5;dY3bOw09ULn`lfYndYGf`hFW8O&P+k6#Ib$KiDr1E*><yxO+j+NVtW
zdXD5&y1ZB%T)0klRy{7IeuttfP~U@Q{7S4AY>@=9X9t(=FCT<ZVCNe|84lTF@hs`=
zzbWbG3dW;-I^E_sz=5<+5qtsjkm|?q+=l5v3dM7L`otEYQ&LIMRxGi{4kg^;asD1J
z;zJ_qnyt$qUBpuXYuUWp^R#!frD6=)GCj1A8Y2xRVimWstc|hDU{xyq4WL3F^o#+J
z0LZ3u0u*EbJSs*BOpm`npX7yX4b0|mn{hKD*Ym1FhOWWvGVy2>LN_V^8DUM@^HHrD
z7p_$SipUssEX;Sc3U<_=E+>w!gjdetW^+}|i&~uB*Wu2$M$fp6!yN|lS22{p58<)d
zaX%r&iLup}VDibx`wda?gt-x2okg)&%N6YqYo$kpP$xNfrH1s0w8~Z(YAqAtyz5Wu
z@V3+da9vGc@TUB$tRsqcd6O`jb7iw4(J64k>?g47{@inEUuBjdA6AfHm$n3CuN0IF
z3l=ag71}Czey=&t=u|Smy9p%;7aCaSh4*Aer3a%Ut(>;)M>oSKojg<{k%8f$Cy)=$
zu7a-C-44d|?Yh;t=ND_)qCNM+OW!X%mZI^HGfad=U`4wpp0KNNM1>R=HLi3}q?91u
zPMpR`z)CwcBE2EGlMNknX0sHuN)Lh><@;s-X!T^s&X}9iRgbb6vo+K<OVV4M_&Wu^
zq2#}f+U2oYd5~8J6ki%Tn;(3b_0sX2`4@I*PHxt{b6%hN^W>|Y%(Yc$n(Q?5Sjb(u
z?hYzl-r0<u_-3=nyjg7LBe6BNGhKu#d2QWC1JZF7L{&yaa#Px|abzN=lrW<dfDX?B
z&;fM}3IKo|0C36eRs8)XjyKYom3ohSo2*8_lH3ES1i~)Kb^L)rM`PDhQ{!p7PIKv2
zJMqNC1vjs%5?!@!o(#&WOT-US_(v1Fg2DonuzzLc!}%Hu0fkPVu;rQK9;oPzJ%|e8
z)?3VcTAM2eM^S9>#GkFbDvIlY@tI1YH(}T-%DM2CiSB_l?^K3@Lq{&|$$!w{0HIt>
z6|U3-u0#(Wsm?1EUAYf|qC69c5FSDBXs2!9in1Q}B|MA4t)jFsKGLvjn-SN^sk)Z7
zzj+NUE$d4hNO1O+WV@qxkzy8cjB`<%Sldp+UNx30xFsZQQgrwj`RZPgM$>N=+6y@f
z$T^3Ms@#ii(#zJba`=pLwNgy*F_dd3c#2~czF*ehwOZLNz3{jEY0EX{`*5SMZCGE)
zLxZ_hvi#9<2Kv(HF=rV=W=xIvBay-|M^T(g!SkRid|cD%Hv+VCtyO$CnOym!AUcI}
z(CgUrum*<|tNDB6_wl{t!xCY9pH;N!)I?<XJ`k&{m_4E3sb<-d`!g2QNt8aF48A<j
zU1zO7_zf|XY?&(@fA1d1+?|v4YL3u%<-|o}Zz=8$I{Y$MkM2~K;%Cnh*JA-NC;`OH
ze78QbW^3d~CKv^Pn!RY){u24QX2LEXyfJ_M;iG*Rxj_cSw?Do8;YO#OZsbx?Y(y+^
z_bw7M{O=tcO86*X2dwp`1OB*CqNtI`S0dD2ryKt$YVOdfdNWG#*Lp>6O6&f~!t$#-
zJsgo;_&Zgqi$V>D8gNTC&oB+ta^>wz8|xdY9u}<0^F9t%x;KJ@ky@;I1-cHBIVx}7
z9)ldIQW}Mdms`;JQuTZ;10r_<C92*_{!!dkNs4JPHoK&hFBKrV&S7HRK#j3-sc%N(
z9##p;Tgr{vXy2>GyL$Yq7w~1#1-6p%{;~Q~&l%3CmF>Su$aU*XomB^0(ar{bDOjSc
z6lS<QC>{RvX|rs)V6jyhv(+HuH4nReXNPJ1x;r%v{pnt6*){S*5(JZmTSj-aR88en
zEJbB3@7c;H6e>Be@e$pmxjS<Id(+wWcFX`(QYSxx>Jy&4Y<5f+v)tb(`;SL=t#KvR
zz_+LAF0^p7^;LGzz}%dbJc?aj5Gy9e96EIN`*gja+0)G8l5oDI?E|HZu9fhIs<Fl-
zmv?F$N!)U*jRM>tHOETT0Vz7_NQzOff-a#9<K*NW1u#`GGBN*0;g_yKOq9M&^i=DV
z2dU1D2ao_2(Irat442aV_h#F+e_E7`d+K(7+MVdrp?paZab8p?m{oQ}T`$lVoppru
z<`;c3N5piX8eFX}gh<YgokJZ5CA6-oz8CEaNf<+N+V3{xhgZ_YR?D&dg)_aw!VGfx
z)Z{MCUTXM`W4m4<hg)#x4}-Zj&8c@KYAOX+>HvxI8Aj5yJvF)DzB1nh&V>d6*84mz
z)2p^dGGo4)OTDEj#&v1cz$KsMrm;C3?bW^N`~&@~6XQltJ1jE>%%r%zfMtHf2&ewK
z%8B3&kFRgg*`}syUfb%MhgZZfmc@WdNzFp{56nZE6T8-Nq*}C*23x8*;Hm(y1@MSV
zg~Ab(uaIG$<4LxjAS!FNX*{Z><4+=d(w!7A@JMY=X}$<`wJJTGhKDmmmLn6?_xn#&
zEkycAMQ6c(n_(jbRVa(`X4k*CZg`Q}cONsHi)jX^JEm_b&4{m2YRr;da9dxMC9AIS
z>#COqWXOsi{@h-Z7N+ouv6~oRY8en)vs#Q=9dt+^XTnOnap&T4G4y;V{)Vw~O*$da
zpimqjPM^Nh4=1OaORJ<!MuUJjlOF1Mjx4B2+)RiaaJ}}&IXT>qY%EOUJbEmh``VGe
z-J^STs%yHaw7-^bDI_IkDz`00xFo66;t<DJw3|y_#7m)`Uk)ID*7%)2lOjeKRmznd
zy>6-X;t1zel}SB-dsw#$I*Vtsi@YMlMiR{CnEi|_HD=VJR4sF(<GT-1dqLU!HZy#M
zj`l;BXkb2y;vV~~M=tTO;G6<gY<JuQf@QiSt_-D)f=n-g8Sx^AeQ|^gp^}&YjB=Tf
z&7^(gvmkh3s-GcIp1DwWz<*c$>t=EEd{D;KOBKS+wMPTdljdGZmu{Hon7^%Nci$mN
z8FZ}Bk;;QodIrNTU6=KYq#o(x2~5K`ikKK9hA^MTCggZg0KINSYM;sD55;9qmP>nO
z2rkUSG=PAjT@5r!r(V_IH1Y2zfv_0MdLrz}sp(~>DZ^Dzeh?H4zOc5s%CjxjyYz#m
z97J?dXGgZ;Q0nzzLPirQUps>qsHOX=yOfSg1L(JW$b}|@*<x7Fs<Yo+_o~uC#U)oy
z#UzDi*_?(Fl8f0(oUGYwjN)d11U<kT0G+?ceu;yb0_V<0m~~&}x@9Ys_||%mj*taN
z&pu7R?s^NTa57SS*cOz-1Fqvh&rdDp8fTj4)j?cMfTPP!@79J^wP;=}QRCmnaw;u&
zH#I}K!(?O}oN#qjX-!C=!#$hHdh2$~#$oJC{Fq64Nn{%TTTg2a-%8l45)lb>dhYtW
zyZ0Q*E^*w!_+L>Ox_tF`d6oyvA$qYk<83Z5{xe<GcAx+-Te`8*Gia(z^mT9IBdY9`
zVpe6X$a|FS^|IGx&PbJn;V@yVyFqO~>hQf^L$0aKc>>I4UhJaJnieK?aZ|jqXo=sg
zO|{FCzUDc51&O5@HU*!UwE7;6JFbemGhE8n6=;f{EyP~szV^->l;jv7e_7aj^jwv#
z3pmd+cJ*uvkif<^TQ?oFsA|EYRbad|fBZdkDnpXVrQ1>*K6=*5X?`YzGiWte9(u1R
zH9K%#=|=;tu5`>==@M`eq}S!`w$yg7?7U_xZDD+2lXL@qih4Lq(Gz-G_G15M&|Wyg
z66$zAL1DXBGam=Hn9qg9voCzGTAShPg3I=<nHlNm=eco7rB=~66X;M_RsdTzfQkO#
zl;|8az$M!XT$A_JyvzE}QaMaL2mGh$KvM(O>;m6!Kh~XPBTj7Qca_gPR;{iPB7eaS
zrgG|263ry(^Cg>$(39HGL4Z3QC$M432^#-OrcA%QBFHWbe|-O-`1Sn~YuA!kpQH@q
zXy4~5CSn0s?B6-@yyB}*8c1-sB4k|5ID+_kr5Un<rP`cEK|K#1LUo<w8zPNfTYL6l
zu+Yl%otzM4%x_6sS(?P4hSOm_ZTnXoaN9qet*HBKh5DV3tmxVl)*soN2TI$fax_G@
z&pZxTY%J{#h)J53RBQX!CrEwMR8kg}^-DYr_3%hoI`|&%jHH@AgJaFKVSj;d_-V*&
zun1IGy@*>OjDW{*#W^NJJ-7?-kE{#ZyWD}ObVI~OifdJ&8M)xY(uWrQjc4|f0<Z3<
zGWCv5$=ReCjk3M_3hransPX2SOxa*|ifJS$NCsi3DuD%%^-H>^0+5l&<0Rw3`^3It
zi@*YBl1jSV=8DR^lX>C`n*i$l#I|7AAo2zb`m*#?<t5OwKv!kH{U)i{GS#czrF~Fe
zj!s+UF0<T(h*i*g&i{WB-V6oiF~3PrV!+R}=Tnphye}ot6i|^jh80^%D)|=B*;!XB
zON;VKTn;a$r$6Q$EX;xK_s8|f*3hz4MxV7vasyZs`MjHwt}*D<hjQoWb4+L`e6KS$
zwe7-JF63!<)O8fDD37%L<I=G_Nmm!L>(#MZ<e)tah9wwfB>u-k_Y&l2g+JN<p~s_^
zK9_r7TGT8`IE?t8HkfxLDu7H;*@j6xi`!RBgkvnJet8bbtZ(`=GUHW1$I8YGhV7je
zLwoW!xOhWOPJNW0_W(5r1J-_Zsh<}lUV$uUD0B8A(X=Jx8U>a}-jHVcba;u~cx@<f
zFcMd4EbmAUt3b)aW7X6m$VhAI859aHkwda}ZtVQ@N;;+Zn0w9ZqT@9rvBEghvNEjk
zu?ae-{Bw1LWLn9iyOAORv0~a!SW=e`N<<+J_QM4w^B){zd2&sqwk%o2L@GFHg{K3}
zwVrvS5ku1$QB|;yIknl?<nOKKJo_kKinB>3?89ScmmQ+i05A;~u;b{1Qs*5X%i;fd
zpdR?aSkwLU{V>0$66g%rR%2RfXRQFT?4Hir<r;^bP}n;gl}p7So2sPt1o8i0NKSwf
zV>XbT32=!cYo$KCM}0}yD1nQc<fq_0KO5%;eE6s-J4}u5xM^Vu;^`et3|r-^N6Dri
zL!3*|rF7;MXSSXo_SW<4(My*XzF%cu$(PF&H(K7_UmBt%J@RX`|B!pFR3YQXNgZL;
zN0Gao8<5a4j!tVxGOI{12QX*2yF)r3;_Bd@w!Eh+q*Z~3Z85W^H?GbJS-#S@&T3lV
zoTCZ7jsDhgOeK2b2(=#dkEFl*w50cbgp6(DM2mmFQl(81C5CeLVlWC-%j&j8zoI6u
zx&A>;Y))IMKxvdGYJP)es}{!15*6h-3GS&I+w6}N>?EbH3tnXa;qO_lyJkM{3UG$m
z2Y`eELLn2Qx24XzH714eK91fy%OMX;$m1gUtzIGV+8X%e;0NVD_GeyTnU^A<i+xY)
z6fHUOBb<%`7LB^nNEFYXv|(#8(d6+2CPrTKtk#4+Z{kF7G*mQW5Gr24eZ+Bh=MGgk
zfFtPJUaFt<vl3?wMc7~mv_+u!zGo}DaG=H)$`gyg&2J<QhlP~Xo`-LTk%LDmY5HA<
zTQ180b+0zYO9pB!26Si4EtLeiR{a0h55V36NTn0w126b|h)dKcMx(b^*`%R%%P4Fd
z9Y%!l1T=6nHEt~OZx1Ykv|?YpRd1~C(b3e?%5JrAGSo284+Yo@Cc7sa7pMnB3RVp#
z;A_8C%D$$~<(F*q`?-S}rGI%Ym-E_7;Cmk9@mF)1)HwAOGScc<0d#a7QIC;_YkIc&
zTHsXC1$}7?I+prK*4$AF6ICyrsww_YL|3!@*`P#VYKE~W(3s8@Z5hj>*^6rV58!!x
z=U2MlV~&BbFbwxTl1T<*&;5_$;yZlQvubwGWQ9J=<Ft15Jc3`|Q(0ZgI(JvWjEYKw
zadGC<JZE~w&YP~bOeTw7s1__PDM#9>A5%4bRQy%_R&47gb={Qt_pvft3%R(J*3W3M
z9J=JZSXE_&7b{4qZ6NIth!eV|j>kMIq=@IW>OoNoQFcblMqR&@haDEY5?PaTtE{ER
zUV34hYGFE`)$N^%s;VCuDY9`7S|H9S5&0de*lOLyJWWjFdtBhh&DifFaa;Ujl1Akn
z&5@#_#R2V@-h%mo81Hv}9=ocRc54=uT;<8#L@9;Om8wTjlM*+lqz39nVYrhS3*CdI
zL@y)L^BO6D6!#TomYzyDzv)YO6@!wYWkE_yJ27@$UTDKvs5@6Y*&WQ+zVJDb?W)TC
zxsay1!evWuTNOYRulWR4iaQ(t(2%%Ag==trk~uE>p|o`Htr1!K9d1iD2=-{qQ!J4S
zw-$<m=B2@*m?qj)PWR6&d_$H41gSR+&*=RVfK@GkxS=-5KSz#5=e<I&qTB&*inTwx
zO~WPz-!V`ZI9o>bF5_ZCy{1*>2mSYR>l(YqPfrQ|M*YPpmUVyrlr-C#9<=vba}2dQ
zRVt{f6V}nHp2#VCh4Fm~>|m+eU$QaUoJ%`*9i@H+Dx-kqGU&QzB;l|{>Lz3IgHchz
zWzXxnz>lEw;HdblfJ6Dtsj`2xq(cnd^pQgB=2jBHe)FT&Btp-<fSoh!E%kBmn`YuE
z2=l?Z-U4IqwLb&78QVq^=5zb!fu!in?)P!M@k`PJ@!Xw$C#RZUKx2@sGp}~{$uB$1
z&*ZyfZe=e<IuYx@Auh#V=0Ot!?RZ0k&JI%kN5fK-#eYV=3-d%Nt<)5xObl1S%Llsr
z)^A=DFz+0v(p`a_#aoubRi%63VH*a+am}}Q9n+)}IE4W8_b3Rk5eIOJ^Ize3Y(N&x
z8j4C~8c2~1M>)VYxrZYV+zq#K1WjbrLxYOn*A{PCq*!1xpZmOBHn6oe<vX%lnGyCY
zfG=FK`G67!%m*th2RL@H!fNsNeDIme_J|@~mr+~HTXopXmcY;g1{S*SvZLUjy(O#a
zts%}e=66Ytk28TDX7E3~I)E#hOj7O`GfwVtqWHYBIc)+6X=?<j!uC`L9)&NZ;<yH6
zEumc{BDqznj?~Z`5yGCFkIUQDE^v3>xf~V<-v2T(-4@VWXUeztO}yWLOd4utO{7N;
zym+{()gA5?%Dbge9m~`=N*dso@op|edzmLnMcdy7zk2LGv<qR%A>~~IJ|JQo#%<m|
z*?V+x6n{-QN_-lHXPT<BmmTwO=by5ew~B#^)}Tu~9qfy#wxNi2lP8+9IA^TU3nOF4
zE9$ck*vj2ZSyHx#Os@0HUp|H3J^y^uy1XOQ!(#sN_RjhZiBZeM%M>iXW@d9WxXn2o
zi4Kt;oj&K#Y%Ok0MdxthJpK0@kok)`FKV=`1--YCdNXV!5g-1oRBuPNX9^8q4ZrX!
zUJB~pc{OayO2_<B>rx3!z(o4TlcoRG1l6tsI4~C{%fL+M(nMzP5)L}p&EKZZv#=yv
zFteTXP`qTc!(zpK?ycoOzB`sMZpAmShu-ZndC3!QQg$DHworF}@6jg`$bvcDqSK8w
z-G{TBFHF;wb|*TnVZPYq-8zFuPW5<A_?M^6Ux;?z6{T^jp!hH%3e5f~$}@(NY<4If
z8KqQv6sJ^*9*=+t;cfu;a;Vl=UCC>$pLx<A;TpSGicA3O3r1g$4S7fMc~Q91MxUx1
zzT=C%iRN@hlS#70<nNmS0k7(&z6{mjsz`I!g2d3iwdXAV2hetO=y*Jh$mTSXO0Y2J
zy2tqQ1zw>kub+Q!#D*~T(5f3a@QAsZ)3KpoZ}vlLtogiKiF}#FEb{!I@bpt<^c_PK
z+pbKj#iW|5>{b*Q7ZI&@$6#LMO28*|<iB_I)yLZJR*NN{o%$VkLjN(z<md8gR!ENI
zc4^`t!l60)!_&e&t^9t-MH&k{0*c575{7|AR#ffqtQQ<5{+5*u6>49wqtBeI2KZ3U
zu+v@KV@UU8M$CG2cE)s#p49V2lV7#n$|^EXJ#A=CobI{2utZ*Y)GB_(qT@!uZHRkn
z4yScd`tI9ZDjb23_b$33L1$3A>jAi10y(c`dk6en)KA+*6I1SSDy!hRDlmjUI;Kf{
z^(Bao(pp1sksgtu+c$`w^TsCBXfgTWx|@~t8tGSKyH8#^)OzZ5$<g*qzz$TUWlm1|
zS3l(+L$Jwje*%G1a}Agj_vJl26+dG!#v@Dol4q6K^%FN_UhAlx?9cbi%&rhn;f`0)
zh0I_f0=_4KDN|4%tp>?;FvztEm<X@9iS*q<3WmMpeAa%6g#-+!DY_GDnOzClR^NGk
zXEx|*C>*4}7W6vFUN0H2WCA->JzCy5T0;`|d*=3i=Nz|3f_4z3(7~5&Kw<F&&KxsV
zR+RLQck1$nKL^&?yjnTb=10TeRsM~*cSmJdHn+C$-#_w$huo$neJPD~jtl7oPrv1`
z;?S`5Ui7@@$ipEeI^1AQK5Dziyp6bzLlFcczQ9}_8TIh4Yh6$xm(3D|4d(BeKWxK`
zDYTS!;ICS8n--2oEKCKw*mk(@#d1O6_FqO=%^t+vF-$L6M462iH_N=A5;@O;KZ^L+
z`Hb5Q*?)@mEash}JP{I#MdbqkViC)0R?A-hlz1__SN)Gfgi_&F{5D@pt&DK_`$Wo6
z9Cd8B%IT!g?(+s-gq;i$r!O|>NmI-W+$?&W&1w3C-Njc!5e^8Wdg6}m`rnb0JVY8^
zTg};+w9&7&AkTh7n0H}q&Qr$KVQJcgsd35BVIo*5^5?m>-IjzdMBbv67#kDO1`Eod
zmX0we1JAUB>-PfW=00ZhLV#BIlb-I7Ww@1kYmmKM8+4Rby|ur2pOTvn*;uSBb`V!W
z<fzCB<_C)e<kgk=^N!(17Uw`~uYInm3UF25sm}4!2nL^0gYulxWp_f&flD0j7DZ`b
zle<|z{D3K*ULdP01#>HZ`c?HC_*FjAW0Ein+5&f4l9%ORn+fAZrM6}?D>r9e<{Eoj
z&O{NW?Elr*Uf3`2Jm$F@CU|&uaHX{{m$aO3($IYM{M!`^SY+WvXMS+qmH9nIUxe&?
z_0Y?7`xYhYn7!fQm#g-Y9_kbMbIUB5w05B<L}c4UV^pKC?o#n=UY*9DIg>&1$GOb~
z?%qa78Klemy{i9q4?6IZXz(0tuBnV|S>tW1T}M(uj`Br!ZY@^9Q{y-`!*|u^RI`*N
zq<KfOeK*ev&pjVL^Jlm#VsR>7!*cr~{K)b)M1^;VPSW5g4@vW_R()QdWYNxaS;;72
zZnn+2#1M>Fzm}{b0JZYRnxuW`mRv2zx7F5g(z63O>6t6^5J_<xLR$9XDQ@aB85HQh
z`uD+OqP<Z0qQWz@PRBpoUP9cIKpEe0Gru5~d3)aMDU3KkyXh!uJR1EfctpV77@m#r
zU)3ofFLW?@cARwo=vR^K6snOa$yn!L)^<m^583iJF2j2(Mm^sltgIG$Us*i&41fI~
zq0;O{)d=UqaiM|+6=0Gvs_}00lUxPA<TS8YjHk^)TENb$)3_O7z-m$Ja_KIVx8ljO
zrr~MTk=!`-A8>xB8^Gs~xc7fBs)(Z(Qq8x_h_JaqwnWFL!cXH@*M3Jv<Hve-2o2AI
z_cBco*xmb2UcXZ75=RbOj;H!2GO_FFu}K7iYprI@TZ?85UElc&8s$5hKzIrr%JlQ{
zYuSiWkbkX4)>_7T(}QcJsgXZ6EG?~gKX-)DIfWySJXBbuZTU3|B+@lIO>v6sO|xyM
z`5moM+DD=!-Mq`YDdV{T3KlhDO*ZK3MZ-@R*CQW)86k9#e>UGse@G#FHK~lCT}>ht
zvJQ$?r#uh)m?KAqu->0S>LwFDw@gWWIDQ;)^YT*VE~M<VTlUAI(E<A)mTubglOu!%
zB{s>L8PymT*a)hPKdUo5*qv8NZ`^7}>x|Qp9d-EqCjZ|8_nL1&eKe{jurte-8Q(CP
zi;L4!!VI~tNYI=)u-%h(H2IkBjwn~CPv_UI(17so3N}~<FPciCtaOzD?g}y)>s5G*
zwMfMRV%S?iJgxLX<TVGqicF58NG86Ocv9})j=k-}-|@$GyVH?&J=A2iIBEr3gr?Xn
z<6SN|bcS!L&HONyCcNYC2sVSs8I1w8xHs0Y$SuYOY9kRNX@QyFIM}UU`OcS&$u%}B
z%|Y#*(DAvsmlrZq<iai|Y?~hzKd=W)@LM;o-@I9Q^BQ)+Il`oLX%chgzbg=AT-c7o
z(l@-(+AIz2+C3N8L7C18bMxPv`ds7C%H=>R>@%+Kj5qiI?_q$xP<SduwW0=%7P7Lk
z0y>6@dBC|3&3!=r>ZwkQLg6{CF!btBDOc-@7apYiNcHHSdsVaCO!F3J`$dE=Bj!(C
z8PRNLoG2M`6FjR}<s>lxN~vnQI<77AaB!!&rx5r|<+!z}2flOl<M0?$L#Rr+bZst<
z7_>(wg%-WHwod0@b$o=j7)TS}o5EU<(92F>2NKW45-he3y`=B{QguA?Yww~(db3H$
z>`n?7*4#+PgXB}&!;LF&F?y%RW-G_YAiKXB?pilPw~}{5x`Unu-E(<@y){tu+|#>b
zW9V=j>W0QN85IE-WToBp66nE3H|PU+_0^dd(yif6xOYomga~^*-R)5i3WA!o)Vs9Z
z9|8gDT<UJGjk|?<GMvY6+p^orz#5FkB|8@p2k&jk@Tf*p*G9I6vretHSNhd-lyOt4
zpA+XW#)|Mew!^jd+xw=;EV$Lu`;>?-z7C3l?%9t4SWP3-6WCcwwknTPwKcSsmY^F1
z4f^pEU#pF1S{<4Pt1wAUgcv4Yw>G?OVQqvTEzmbK1GzVBz;omflN^h`I-PfBhBSy2
z=N@J^a0zICbQQfz{vJZA##!XKl~}*LiCgV;^xfHOKiS;;IQZG8J$<+5;`81jIK2@P
zP+>F`(c6JKOgLA)8%9F_BGL@92SLw}6La0^LW)~>lVX1HJ)ufXvB-$CHjK4hnBFSu
z^xq)g#$PxH&ZM^5Fw*g-&p=dkX@O$V!zklB$uM5S97IR_yZ|Bs$&LlJ29NItMP)LM
zD=2PP(enyHS)eqV%9>2Rx17g1Z`V`Pn$Gf?$R)nLVcKa<_5Eo9;ho&Gv(x;2Nbrma
zqg?BrM>sOdINCYV$Bue4<6!J_2<7py{o_XCz(dQ%;Tp<bbxH7G*E1#5b7t;bJGM)b
zZ$U+_`AxfiH2Lmkq`yeT&OD;TB}~HE)fuTBBq;xN#5PFAELB{^#^TL006iEpBKeX&
zeipHFovhHe_VYqz%{p*LX82^D6mDMYT?*UPypodDI*-0cggb+FP@aJkx)6<>+Ylr9
z+s0O3clOq3^j^n{xTNN@O<uK^YtEDz|59xd7XA>ls!1l@zRf$7^XRu`w16!gE>PTD
z>cm=E)a0<^t)xH+!ru##pJyMB)atZoJjC?!`~MOv?KrH9=$L`x8{d!jso<u~j!2B-
z$M?F-Tk@`W`_c05-{R-c=io~u<w_S7*BE2Y_R3yH<*{tp2P8+7xw=(oZ1381!Op1Q
zKh$($X<0+W*J5~(+CObfxbCx~k(JQ%h{d8W+myidUxgPeWjZ7U0TWGV*!wn(-%wSC
z>KEB$q5`wG7U#K-q1sr^7zlyQ)Bz4`S>i@s*(){`r%ZIDfC$?QMd@|7#RkdJq$fWJ
zrl#nB7f;k+yE~^x?~Z@#Qboi}GC+>g(=)i~!0GXPdErisd2>`IdvtS8>FkbOx^oR^
zJe8^b346Pl?F$EG!G^J$=`zj_AcTpZH>>kkU+NN2k??A2e7eb3`H7?<qT#AhIfi*M
zYQXQ#U{_}KaXcyxv~<%c^T1K_qVdLLjzqyKlz;zY%I=zM_8V^RY&8aOO$Q|Qh+m!8
zpV+V@!cnJ=NUs_q4~c-L-!c?HZS!7BTW5S^(r3s`wB)4cgYp_C$#ROgy45Y7XsbO@
zcG_Ot1-V51`20vyeLl=t!BQT(%%wP37D51PUyx>+khFo&(;w%D9i&GWDq(+Lu=Uhy
z2De!+wjGR0lh-aXk&UA-5bDB8h{*7pIZCwgFX?37KpLpo;L##QEsIe6sM9_r!{@4Z
z4a7K4z9`Z~_*bp2>dkO<gl%zIuvOyd;Qo%OU8kc)(9~?6RpN*7`3T++BDJBrz_mVB
zs|z1DoAc;v-s^xL*Otex{p&&|5CbNTT2>wAs<w{&`}Q?HY^?j_T>Kxvt%T62^IJd~
zqoVbn$(@%6K28p-{eqo~a~;Xf*{6@BoQJd|XO}Y5=aj9xh}w9TE)T=VnZvEeUz*e2
zIzM=2G<sjk$wm;hf6_YUn|E!@bNYgsue&16GsRn{ID9&>nk$or{NVV10LR#1Xi(D+
z=TCcwhgg=s5np~5wRNDBx)!x|?%|<%Q1ciXln|mCq8NL!*C-Ys1W9T5H0UIQw?N_N
zsZrxjMlSxLu6D2zzKG?jF`6-HW;HX^g+wah7O_)!W%TPBUis<G>G0P67c$uLjEUJk
z3t%H5=L287eXPrmGemadFP&?Kudf7bk?Y^}$gN|~y)<TLh%1fB`lSoKUd@vY#aTl^
zCMGs-*gi>iI~*J=3-{Donx#wIBQk|?_(sBb)N%(@#iR42T*fB9bL%-WlzUkYU{0R~
zj{+(ly<inL8u2~3vH!k<8qsnu-7S1}d?|Qm!<N*sxbYiT>FswQ6_ffOq2wnm`2Mw7
zg$a(e>aw}j?T%f#k<V}X^GEGCDQbKg;iX06-w4vDfaOTX#8k-nZNIVc;DKy$PD|kK
zFs?niCH(T(!#f^UF}TLJiuTz62JWM<NWWc3M7UB!6FgmhnZpIP&C+<wNMho~dtJx!
zrwOm?Yv;0iFUkZ?{asdyn(eDE-=IBHA-u~GLCw+vdy0{T^Q!6LHS@g2u}g(PxX={$
zT#S?Fhqld#c(z?Fi3Nyx-p0Jh13RexUU@H_R+E&j&=K3N3U!Xta9re593!Mc0?Vn|
zat3|c&JXxcib*8L@{{S4h#!b4j(1H|YSWu=sR#CDFDXh_x%h8IcSJ&zJ48K>5xITu
z$r12ZS{9uq=|1X~_O*ZS1b38)Mb_P0JAvu0VGOzo+oXnL0-M0?-Gndq!)K0z&X3nc
zLlpuS??!n^=WM~jK!x`<kiE^kx%$Z3Dd{w1fprnzhiR2B75O9k8~r~f!Oq0`J4Oz5
z9wY0sapiv&F0@{BZBx?QAO3hO>^CM~=_N5e@fFNeTVLdQnc>%CKj*A}tjqh*#h7(=
zA#F#WRPzSgxX|@qzF(?F6c2iTgW8VJCLJHs(8|p>{>4+K@%2r$t(+5E&@aSOHFf{^
z%Hj>u!LuMOE5W_?kN6(dJ7y@~TmW5s3P`weIaN}GdF(yCeW$@+UG7wi6N&Bbg$IP(
z5`d6LTqCi~vSgLHsm2fB`CvkiO4!e)GUJ02c)ZTbJIy34MS~vVR(7+RLh;`|`O$dp
z_C#QJq2GOM{18_$^xL<S3;ERL*BiPlCpguQR!jP}v^Y{MfS0K+s8hBaaG-OP93x={
zzJ&!}y4Pdo_k3?#C`UScbJ(p`=uA!bwfx7#nPl9Zy{(XI;k3H{0URlsbqMA=9^Hf&
zgp^PITedm(_39|YLj}1mb=z%0-YPM|-|B(GpIJMK#XaF&H#%SD=GDgiJ^bpWI4$xl
z88Oi>97B;DtP1c@0Gp#D?Ih6yIY@XgwQKze`Ks4MvAoB(D4!E}X>~Tw{EpZ0G-LlQ
zy}aF_ZgjJB!1=+yJa-{wVtJKOnh#lfw5-0QO$WxrPvZ07|Dhkf|4>p=tx;~T2Z`rv
z<uE(34fENXUDp|DvC{CB!Gc`P=@3d|A(@GNxbEG080DNw)VA0sZ{W?qu{T@?_pxfg
zj?Qww?S&8M`5Z)KNLk8M_1kLvui#om@~_vgKNWY{4^1ET{%*4uJ%L}@^UP_MMsvPM
zp5RmzJOH+x%BlJnIKyW2IJ8OXn{x`Dn%Kj~=RE?YUrP8^!0wLOnYORX3iltiTbh~l
z5^S$C)Z}a~cFaeBdHzwGafUy~-h(RMo2HT~4=lmr75@X}aJpAGG3hazul^Y!?G=35
zei{6jAD@+`dwKd3a<5-U;O_0huhx+Y`!KgE1$F1}7p|3_`+;@i%jCH~?}rOy@;?~$
z^&U_Q17J0lP`)ZjDmHEN<DGQZ;#m9roeqz8MQ^wyrLI(|MQGBTc_wf3a`)Htz*}P?
zZ0wTgz05T}`4!8uc*mz@Wzea@$uXfuWWYqw)`A=LZVpd$N3i6dZ(VI7^8aO(KYzS9
zemJW4M_d1G4fnbuIjb;rVNp_Syon5MP(vm{qyzQvL+en~>k92z#MghEP2O(Xw>4B8
zM1{1w5AQ5;shbl;`SXc{ruD_TElFMbhCSrT+14suYCYfWCWF&?(+mOo_q{I96MM2f
zwL7&fu*Jo6*HCQ<Y`|(1i23pzl4r4hBl=Fjlt=eUbKB7=zG_7jEagbTBVnM~1#)gD
zzF`+@nfXp$Vi^W4JtBFxL)y0^MV%{qndCmj?Lso+rU*rHVHG&ql*|h-9Q)tjV7!-c
zt;XrZO6YZ0$F-~$qK9$B6D5PdVPM*w{c?M3<2BVUUH+J_rTF#hC5<Wj=Z^zKsfA_5
zb#J;InI)~AhS1nwf2aa;E*qAlR1L-8jlVegCMC9bjCG#nn*z+c#%Wysml(_$a%P(*
zn!b-O?tl_UBx?J&`+|&{oYWqFidtJb=>9SwIX<&niRK);n#;z+=x!tk<Wp)f<GRta
z5zFz!XKOwpCMv#IS^NJ0U{sIE6(QLYk=rcaaR!G%b^|Ml>)zVul-tPkqW7)-cj%Cs
z-IGvTHv{f|69f6;CwWP`);i0IcJC8cV#*4`Yuy2KZC6i~2|6=HdC^$c>hXfM$95v`
z{}$m4&Xp(saTt*BQ7T_m92*+b)ol*9+M>KrT#CRSzBJ6OS3>ZVQ)w~L`^8$-+jNFc
z>)OK?+#AahFs8Y=Ma90mY>g6pcM%Z{;3o*Z;B@LKJ*_EqIYNKtL?y=S4rxDjG18@m
zXp*+GtiOni49dcMbsMt}ER2k35zV6QkKCv4xRMboGirF{`qwN^6_X*PpE2j;UpfL%
zW{g87{!SaPiMyh?9ZN`lRb3V&I`cPbXZqKq$Ga~p_C8hBM%@UG;0A|<@bk?5|HspJ
zhqL*A@29N}HQJh`sM=fY+G^IW8AR+Ip+>0LsW!DYwMPhoq!Ocwnh`5@XziG_ORMi+
z`uSeh@BHyxd7gjI$vLlczwUExu~e@-?i3rBM|rVNlDt+QZ0AJkCq&TI%^}zy%1M1$
zPY|BwYxmL)w5d}%;|RP56$>VvE7IA-h31u;jD908o|r9)=b0#>5N9F%bY_{VlXceV
znfFU+^{rX!k5_*9jRf96=R$DIjc<ko1FgSSS$)0R@0OXg7;$Dxl#-f>$pgW=NH#-E
zw`Wd5g(U)Gy@ki6Ojo=0WrB}LXNUWiXQ>2(XLW0(Iw`13CZh5KenLrkMUmaDvmf5&
zJWr8Tcb+~w5TekEiAowYyvnHdlcDQ1z__&)>?tL$7xYs|ZhnIGZ?Z7jP=TrJQ9k1Q
zRLmhXcS#BwftUj^eKVGG*dOR?`gHPS)eKkypNo++qPOBTZGjC8HH#O{vmK-BQHXnP
z_tjqm)ByA<BAueeQeWP0ZZ}Dibfo{uo06~Ico&Vz3s}nx58>ot_@IOqW=Egl0T`!D
zhRCtNWU72|Tp)O9b29)e?Ytz_Kw>o!69ifFLe<-MnMjrw106NPW%~W+^FN1JVq;v{
z;YG(Rw%)FW=?}QTcG`1@;q@KmnN3{N6<mfyP-vd_{yGH1(7R?RwwG{<OIe+z8_$%U
zm-UJFvYn}saj!-z7k#RMe^r%aLKx}8SLU0ZaP@bZf+%8^w@9SPjT0Ivn?NOZ&*M&|
z@A<|Ws?7T17n{*RFHh!v<Jf~N{Vy<o5)s6=e2ZR%?Ag!N(~Bs@EZ<o$%)gvfzzA%>
zcIeK8QJ4oGO&vTZ`07ll)>!5yGJni1a#LkooN{bmn-&R-$-n4@MJ*sos@3IkFyVB$
zEA}}Rx-5Gc1`|+xDZU945M;r#j*(~EbVzxe;&ywpQBxu>Gwn_Uj?~{*{;?K?0HWf4
zTZXqdYyNq_=SZ@$sEDrY$M3AkIlSl>N|jk-owsh($)Yzpp`-!xrV5XR86LXyZf`*9
zhY8Sh>oliv>y%cFtQUE=kX&VMmVC@YSJbMRG#pAIetg?$cd@K}VWV&|>pi~RH!a@V
z>LtpWn~M;X68rNN9!5Clv(mJTt6yKVFWCkj!LY5fzp@7}B#;vixUg4*9T!j-s)?TZ
zoZFYVfiLnT%E$v06wf$I%&i((nTz?_@}}*jW71#qlyLzVB(FDDf(Y}K_+}>8lK@h4
zKoRF`k6Ns`!O28z_QnU{`xA>*OSnLjl<*M^lyp~tZmeN7>tKOO$@*zXV#)|A;1Q1A
ze{WB}^mSl}%weY9IcjK5zDSoX$=0*iux6Y0aL6a)gn93h`N7rc4KL*9xL!F{1$H@o
zC-Qny#bzsra(H2c_Ku~|KA5->sxsnZQf}2QC%S&&tWy_*@8nSab;NG}kap*~ut3B>
z@ilywPa)CmmAUaiSoxab#;c8d<HV(2XVQgm`^Mt*kVVipSf53G@Q?PEr8^;^OLD;N
z@LUKufyar%4Q4VBL#IeHP>bBNprN~KYGf9_uxz_WA_N=+2KDa_$o7u)<_w318QszH
z1348cOit(4)oW`2{cN14Mp(vHNo%dB4(T|z2upXg+f|>#zzaDAlG7N>?+YQ31ZcW0
zVZ{*Z;MtoSX>6*^E`y;j43s)bv}P87d1MH?$A8L&5lxUaf2{vTbIG(8*6r3zFlNGh
zh^d!8)iJBjtncn=B^f4Mqp`Kbi@KT#aJi-whCd7R2XnR3@ZQ>`={KZ_(`1XMxDwqa
zuN>lNcfakD_F<8+=}@WP>@rkzz(*s6Wo|E|OR#iIUvD#KJp_GZ7i>H_|0}WGj}`JE
zyY5Qj8*_E9ia?x2M0}r^y+8}-q$$rjeE>jC7O!IgR~`joSZ^LJ(KOA@m%M4DG~p!6
z!vi+SGV=g{)w7!A9Jje7k@g2qTvO2(+K6N(tPI<Ds@lYjApWN#JI}2Pzxe7O{x*Hz
zXOry?-eo=p-*4-#$d0EcHRbPZ!0aB5Z3ML5d&neLk(J^1fZx2}kB<Jk<}o)CX=q3t
z0Z!JCmtLD6fu3ia*bB|7e$tw0wc&0dtxqno`6vi%Tp)n)XjgDuY~fg6(s}i1$Q*R>
zMR`7Liel#A9}hRgi41%1)=}*&es}H(cl4%wf*JZGQbWF!>Qv@+ddNj?vdq@8E!=MR
z{Id#t$aZ704eM%ch)RM8Tia7<Z;S*qxh*c#>(SvPiK=<nk+xS_kI2+uncL~ji6Eb#
z7zVHD0z;07=3tde^2~#WzRc|w^|iwM#r)^H^;ECq3<o~P;*O;(ci^=vOTh)s_U4A?
ziKFE#On$e8C>o>;CFux97*LYyfv=tMc;8z>Za7HLhOV119}-`F&)aEXwj-HO3tElC
zpn4t2J8btv>xKQv@~^_0CO%v9qR^y4)7m;U_8Z<c^cG;Bms!rx0<|lnFCFx5#hK4u
zmvm6u4C~IA&ZMTejvkRe+ma_5e%J$d>SxqjPt4|T<$8=kTxFKqP93VI2Y&`$G%ar`
zo;SeBJ3qTBgk8GBfec*D9vq)1q?z#1yMx;-IaL7ikkwUy8c+0HPygfQkWf>2u5$iD
z(4waSgIYF#tkq6l1y81ee1);@RHNP%;{_T|xH9CKLPh0%h6$)oeaN~I?*4u&e@Xqs
zoxihaGfAg-5~Nk$Pqcg*-8m7T`tAJ~)Ufr*RIT#O*khe0|GcK043c9G7$g=cl2re+
z5rspHWO7wi)vW`?Wg};^5{JTc9Sgmi0_EF@l=@P~0fF@>Qq5~jNQZJr%@$O&Kz7Q0
zz-y3eX=v!UEd}{jfu-Yl0+1j#3r=g7Dqj<{L?reRpVf(_H5|9vD8F>J$|<#{>?Oe@
zbUv*lB!<sk9Qgfxg;>w8H^xqPAK%pI>qg}wl8eaecn&6~x@D2W$c)*T3J|}0=ZBF0
z0D5!svsSzW=ve`=a(M?%kW!edFv>s401ny#gD$Y5aAETS`{azkR_J{016QBwiKCOv
zpG4~pxe3USkz%P<QY~&O8Fa7rMeJ1;kwnVnGnGW(gR)C;-IkEZh0pU<;U2nncopoV
zcdHj^He>66Z)(mqY=Zz5o|Y92@~$0A`C4^XQh#Lz7?i9+68JXQ3Zh8A`t;5nOXZM$
zxu2X%8ebe7zJJrZJ!u%iFK|xt`c8;H=17g=x?O<Lp8Y#`o9-5IgvkvULRIX=JuS8=
ze-hg8IrPaNQ1hwD?1hq|a0wmHS^h6P{Q1*H;rGn4k7Dht<HM9lr8i|dsvw+Xx)_-U
z`&^d^L{6~p8V%hHPTORBGrZ}as;6+$QjpQpf8-KC&CbM+%{5GT_j`#v&SLD<oi*|l
z+w<|`rqXAzpK<l0@)wJ)ooR&gOP|KVOQzf=7&t);;YHq_?r?ngX>1{9_=G3mp|9NS
zIVo&j<N2bSRB3g*;vE0pA_!_B*$eBje-z9kuJyK(UwhnV<VaCLR0)SzgmI|!P`B57
zMn7?=4Tl@0N3o6#B@vz+J6-(cRDSAg4ru|#b)<bd4&QjP{M%|i{Ad<^(g8&gCXXf%
z)6rU;6mApiw#2R5LHiH0Nb$db`#B{~GJSOiUWEQFXc{~QM><pE(Zr#Z_I<fQDW7pr
zR?zI>MA**+xIB2FGkUS6@@cR3skIZ<dE-Lv4>l)5tRuftJ9kQ7VCL(Ds8NA-yh44i
z2QClHl2o5bvc#*#ZMn+iLkl<(6|%i6FvxbL!@!NClRA?FbInF4y3sKknb{VwAI7SH
zGJ{~jk$=3as{x*Nx9UQ0S>sOED^l(l;hFUethrhZK;BsrPGd`2yseJJ=h3Z*0eQr<
z``nJ^sac8zi1X3=>-w2FvO4^me#o#8{M#$vlcY<Wz8nwxS4*boIxukjUO8p+Gu5ch
z9NS1Jz~+ZahyFYjtE8td+>4E%udCq!4aqClE~z#G@PsfWeK@l75tXBGt|inB1D9o*
zyqr|32Qry9&ng^38A4Qc-oG(;&B+M>&|Sahnp2$d3~v>98$gjl0iY(|7%}{lkOk0v
zI4W4^4h(Vf5PW@$-_~<DZk4OTo-H;DoJ>Hn*1bMsPz_%{-S@@eeDbdt%8UhO_#7RF
zFpY@evyN|jp|taX(l1<QzkLaWlGyT@bIb}(l(kwShQJI9p8ZpyQqt$FVi`W8uq6c(
za0_C(WZaI1tu+KQTO+e3xVf=G16s?3E$MYT#muhH20g4kT8Ft(F$p98ibaGG^ICtr
z3@*6P>R1%*6CQ;kUE^X)kr+kfemisa>XV3vN<%XZ^m_O$;qbD{`!+e{pmQURJ`-YZ
z<W9~_DWcCEF;ttoYH`!%QJ_IHqsqmF{32vt-@mP+otC|1(&pPx>^R{?P^}K~HUTCc
z`I~X+o_C{{L;6An$PJYx=M4E4&r$z&ougq5|I|G%;X>gQv{bT?G<X!&G~-e6b)lAC
zh61B1G(aJ*IWmN(<bazad-DI5t<KBuH+e~VExNW#$kSLO@38*C@~@9SAJ0gw_qUqt
zg-lyS++D=-pq#9W^+g`##dz_#=zod7eeq2&k3Tl`bK=X8SD?2SSns-?0Z|G*VO#yA
zmO7fdS4PjWxEr}{^3+>51zguI1V=Yj*AjzXvf@}ETTS3nG3~@0d*!8C(6KVD>%M+Y
zsHmURx`?Zku$!TsjA1PjyY0D=VfSfFGOwO@0+`+G#QQdflYG<w@Z7#>E+4~6OYTz0
z*@PSyx5#}7IWDf|+Pwm*HeCxcHv`Za#(FzYC`k3ZDFD8bb2bhx+q9Aj2wFb13kDSs
zqeZ=EjiwfBaSH|4#TGM~j{XCv`G_V4soO}i{AmV%Zep69dBSqOVP7|;V4*fU7^Ri@
z=i;dCcx#?J*AdA}0G6C45wV8x<mEY&YZ)#4+|vPVmzJ!l1!5)iE*fUM&CVBvx0yQp
zL<|$@mv^tsY)9sG`*l7#d7>=NKmKG94b7rp!F&zqLh~9o9w@Eg!#)d!mF~J;K620L
z3Th*2cSL9f2S$nq-&;6xEs2`R$razofK>KXI*xs7#lw+Ui4YX~XuQz*B`cfa^^fI=
z=m(MY@zphqT}!3vr&i!P3?s@!W^%PYUbqp4iIxZp*6-=-DvH~cFZ_*_mZj@2!OR*f
z-|?5L!Rkr{<mF~yWq6C7zC{U!Ol}sXc?HZIN_)md2;)wc6CF#2N(~FAGbN!?T)$a;
zrL!#7;DREV)&d`PtSl#YdYXd?t4XPMd8*PZ=>crFG3#EnS#hG)zbfrt9}D(86M4SQ
z^<LnEckYH(kN%B!^Wlgd+qD%Yqc??`Y{{y6@SMrk`4JL0N$aXsZ(`DVpm7QzITBhA
zOevelxV`&!{Xu%K=r025+vk+Wzr|Wo)+H0%N?eHcsV4y|Ul|(zj~Dz*jPuK!k+lT5
zc94zY^_44EU$2sP*?K-c`EFfUX+;0=4d<^x7H$<<>c%vhPrf1LO_SgXonMQgL3(i3
zY8e$B?I%I%^}05#Q|8B>FAGPPf9+?$pFsy<pPPnJGxIQ9X~6}}9q%C$E7E__Tz9@S
z0AJlcpdkx%E3BVILDMbU7sl)#82wpN9n*tH`c);1Et^*if2cb$0#z>yog6$1%V=LF
z>IW$p7ytb8ZYV-de=`#5*mZWv91UZNlVV<JHt#+W8d&u_BA{hFvyWx|f}&6VOeri7
z(HUc;@ZIpvI^6K-OM)TG+=lS*j=4$DeEmQQ^g(p>t+si-O{#E_Fpr;J_Z&hKkiQvo
zBgIm*Ftm2n8SUc5OAjobS*4^s>q5i*n_w5=xP6<flY7X%wAvA|$YeR+-1P`LDktfA
zzue!gxQ$B|zcZI)DWT`RG0F%ivT>)nOilU#<nJb9R)E6poPj2fWkuV8%7y2!g%{%)
z({z+CkbXDme43_g>n5Lhz>3YT@_K#KEMw>mH1I01fLl})N=zRes%u$3`b2kNs~x2&
zHY8*(lYZ~%>oa?)y4V3<z1+2#is5bjH+><*%0qkP-ix5$FMe#!>vZp$IgMeq4o=xs
zVCEf)MWb(XTR`&WmcsGA?A=&cDPv+xRJ@`<yGJ3;+*r6(sjHGQhLVh+tNmlZl~AYU
z(DRbXjbyujmxuQ1wQJ<K(5h1`H-plScs^76Xd;$yGu-{Axs<TGX44ipII6#t&?z1^
z?zTK@5e?PKa5f`mVtsVOT0frKCFK>6a4<Rfyii9J7h1rJ$D-64w*r+~OLWbtYd!xD
zpuSr{bHS#xi!OyrY1jS-5HAhroSbXFl{*4@WSBGPXk>1k0tw4N&eK^1iGJEVXJ!8z
z^i9T#ihFQ|ut_AnfS*TpLP(MJ^mi(<)*@&%j5&^UR0@5{k_e99kaqKq@WSNE`hyuC
z^ff6sPlvmGne#jj<{UNtV@<}au;QYFxdegq{axs*5yak7eIs6ejTKHByD63%uBh3T
zU08w@6{;J7V#MVtdBI2b%ePKSjsvvuuxa67&$W=Dwl;#$mT#ER>)fm~mr9dHuJT{P
z3VRnmsCi@2e1`Rj()P_C8$lL$1zVoMvg%U@rAW7(De#>!S)Xl;aQ(B)3Sli-VbN))
z4+VxO`TF#vFB6Xa<d1c+#lD~s%gpy>!EWrC4jKJwtvRt&&m|adJNR^o=cU7*zypgc
zW5g=@Hyb(7(NO{w719X}j=PceCJARgYuvhAZf19o&-n`dy7%mk<-3dVuVi=r18~<x
zH06wi+M-4Ej<Fy8F0YG0LqOB|K34<d#3MHSx7l5}`W>q|TccBe{K@-YdG#pXyuM2D
zPa64J&Oi1!+3pGeWN*Lz_vKnlQ4tgYwNA=<r1|l#fV=MVE%vWn_bR%_cJue0!8Ipi
z=5yn@!+#bR)u|HLJSKO(CWc?wsa7JoHtiBcWZi6Hfc`9@vKA*tE!|8`v88d#BNO5-
zCL>kII!kDT_^5wVNb~B?lg+Fa77xvs93M#T)Ueary@1&E!CIe?eZ?BStm2KP_B&!P
z5K=-9p}zXg_2MdB3;F>&n8=`c{BO3cBaBS?vh5)1LmDq8=oa|OtMa`S54#T#H*4g9
zTjJKo^Is3ma`2@*DmulbXxYm44K%9+G&kSE=EbaBMP9%!*!21gA!9R3N55v<fRw&6
z-*%Med<?ukwcbB4HM~!(>YLeI5OX)^+jz*e_;q>8D;ADtCc;AXe4u|QFI!{_zch+k
za5MFGiY8V+-TM2|=3Gxe3lW9v9tk}3gWgyh4VXil84~V!#{pyZZJ4|_QQzS9HPei_
zA7cgYhaO!V6583h`7QUbcD04cT=%~vsBu0cS5NWO8TY#Uz5Fd*KYEGIJdm69kciec
zvQnKlUD~RP%vEP$`VxCw$=p&B+sOTFAZW~`M@C?#JKzFWjyrBe`27xIG@HUMdhbcW
zAsKSF*DgX0rXLK(<)9VkTZwQZW`f(`$V(3)w()_ttxC?340;v+{LVv0Apr6p|JPuU
zTh!}htot!pmhAqm*w)j{BhS9$Rw3R7z>ODKI{qxZpLHjHUVvNJGgcnWS4Z0{bE*nq
zeYsp@U&5byei}<FI=GaMeC4N|nI{D`pi#;c-8lB{h@&F{%^ojI*B(t7g5RDZB%B+_
z0*UB=O+nNRXf73B?`AZgDPlxXHHgvI)XeaeByU)m1w{0%zEzdYVl<WL=wTVBo4U9U
z$+>FU&>7BV9AJnZ^7v)<Hb;01Xz{*N)@W|p;tUoTgZfoEL7z(4wkeJZ>r~BL4=}r=
z1u8XNQ~G<UKhd-o($N>hD!KP6*(LvsV6fJ>h3IXw$$D~8pcqA>*C32Q?R<DkkD6__
zR!sj)pm$h&rv1N%;8c8g>(Uom5{7ig=rOa?75?GMe}2v5YEFd=ancw9o>f73oV0sB
z^B4Y=N&q2ZBzjk#wY1j!#4B0<(T*r}x4|t-H|*BhmQQ+u-m2tkl8C1z*rUbOb&~{x
zz(i2BO{Hel#XqX%N{|n&u-0`kn##7S@|*r8Eumg5gH=&b18GzHBojmDsgH?Hl(EYe
zO_W&-S@d<Q7dKf&m$|vTrvk^^V)bS9ei!AgEVX9UZ$P&$izJGt<ETBl$Z6PDbz>oe
zwb9Kizz?W3k=70}92B0QOo@5u^w#FX#UGtWzBM!Qae;z-QWT)3PT>RqXvsmr@EX8&
z>pFm3Ag;byMQbESf`TOm?mgy|$dsyfd#4I2wLnt_{RhxEI-X(`<k$C<*wS0KWN%tb
z?&XJXuzwHT^a#XOZ?r|ODn*RP&*!p+w_ugFnO8{Rf48>gwb<t7s}=&uqMYji9d@y~
z(@j1&7m!|*tL0A1hC<r4F!xRJVv;bgxZn}juhv8Fz{u_PoIb(2r<SkE*FDi84L5e4
z6_)M(6bSlJ4)>MmUCc7I4cXVB+;}<Dz$!IL8YF_;r<wFC4jxR<CPUY`wH1cARWdhp
zN38QGOX=Jk+~y|vUAFwi+~kX{p$+51Zy!r*!OkI;y&$=T`lq!=fA@HQ5$i|JXdmWo
zT8IHPU8}1fD64SWH*YKb2VkGtIYQQ=3JYZJpxW(_3evsD@&_luKi2bJ$s23g%lUAN
z87yvdr{%eht^k9dSfF`s&mt^ivUke1c$qC67Bufl^~88q=NJr@^mh02XqJFA8-R@P
zWY`NIeG>SO<QDQTawPsRwrV|KdSw~}s<F15U9-_&|ImKF{pFsgd+PJms5V3SMBCP<
zX0HApVkHFXs<>yxug7J)-<OYka{!O~-Xb~BSVD{p-rScE$%iSpIBcI5ECvS?*1Bu{
zOsW=^40CSBTQct2-q&j9K!6nP*}i3<Op#Ql{<2Ld`YO93|NgDoYjO;Hym1@w^!5Kl
zgvf6IveGeG8P<WfpaNIO(ea@CD?QhJJ-(6?g$NmCHv;-__@wYZfc2+&yV9JYfV@;x
zY+Ys?>SlFfTY{=D&Z}*|wtHt|#y<By0RJblc)Te|S0Ct9y0n%$6G-lGAv-uDIAPZ?
zpHgZ=PTbvQ*1%GiX(e3~w)wR{ygbCr(p_Br-JRm}3H?YB;h#B`fl)KFagOC!2^WP9
zA>}_mujE32V+w79HT#nj*j)R<xhUKrW}ImxADG$VdE)rSSRHS#vcf@>1z)aM*oKvE
z_$m5*shbN;9D1Z{Qw+||fz2zrJ+Kk&3t7_9@wau}6sssD;(Q!p=YJ}<pdLQM<pkO8
z%QYBjEVn3I$$Q5~e#W$OOk@m<ZEm=gLd<2>ejO{wXZmG+Ezi-S3o^N9P%lfefle?0
zmja0dtE~#{+}0@I(ZB?g<sGgI{k%s+tGWJ$l)~~%_1tB>g^iGwnH@5#^?`zmS_%ud
zP1!L%wD};|9uI}NJ+d*FwU&CIt@Eyo8?qVc@{McGbEsy{bxJEY*A-K#_hYLb$Hyc!
zb}y<~`b3?Ny~T=(jXSMlEx0V%>Zx8AQd)j}p5xL%H>66x^7-X<bytS;k=682Y!CJ1
zVDyW-z#D^Rk*c=q({;HO9~<Z-c&+qlRpF{>&|w~3N-|n`1Mu<owST?kM*tbECjTJo
zm%n}i0MHASpJprkvMZvQZP2TcKA~nesw^V7pQ5D=_3R3xu~Va7YeNP&=coWg?8wL^
z%e+li#7ku>clSN>rE$-nQ(NCX4#50HHOdy&GU5LL%6nq#W6^7YtngVL<j=Z5XV{so
zeHg5zY;|Ax)xF{C4e&9?h6`bkS5SW}cvLXIZQX4re|?0e!d|`Q^RU064CZBsQBk5?
z%B}lF6^XAj<czy!a^g#S6;+%j3MK;zCe!XkPvZ-y?1S8d=Nq;TxgBQf2S$%&CUBvD
zgSp4n%*W3Rl9k-2yht4wtWZW-=@y3VGMDh?D6*6}8rl)Tc)?X^cf%F%TU>Q#_h_eL
zEP7Ps)$44p_)!0Ccf%(fncJU<<G<Jvx&0AK?7cZl)27Yc;UuScbA!S<hCc(&+y+Rt
z@hSGW+nL~%OTChfNd7!afA7TJG5qi9g562A4>srJhy4NOo}h&@dGN%eG>R9FA7)Ib
z2YXQ{k#e}us97W;FHl(4#cj{VI(MV`q`<-$UEF|i7KFa|SelUouK(g44|>2(V_wd|
zSu$5SjJ0ee1Z^aV0J7*?*3NFBq_0zr3)^KGwo<qE%lDgcd1ttV65Hn5DOve=?)Li?
z^EBTS`hZAXP$85f?A-6JM)9b52(2qY;bLOLYa*$1<oZBORwlXuAm4Uz{(~ab0OWS^
z4d6Qfa6_TU?_JaTO+OjRxh)oj2T9=hxd0~;`oY4nb+X0Qjvj(PP0(MS0eK;8xCzYD
zh8-SQzc>%6Na)iU(~8U{s!y#8eMzuYY-7VkF|11WJ=r;Ona(pC+S5wByTq1@onys*
z99$7f2X6U3{f^xEtn#Yl)5ZlCCKfT$+d4Bytj_9;y1ED}d}vhV&c)_|^Eo&H)86Z$
ze6d}*8E~wSfe3bfmE|r(?AJErrrouzP&5kj;>aMq#fDnO1y&2xERHbF`I{5L4Jo9?
z`I;Z>Vg?Ta+`L*hU63a<Gmi<xkkp0Bn^?cJCR#|h*OxB6@x8<i<ukvvqbEyxoj@{l
zt(r5KxigieYzR9L>#PG`7S{J3v2)uq8CJ2{PSC8qC+|SME9F1QrgTbP>Tx8lo7LJS
z)o7MCPA>D(=$oYmkw!_uBrn|Y^ZqD*?YJ@~Eg?aW(gi>78a494&9eIJmk&JNK_zO-
z7OREEA;_IPueu^9w;!KcbflcA<K~>cg-q34lu|(r2N693oDLFk7q!3MS>iV<mhIYV
zXcJn@Xbp_s5%Wh7l2ld#@Ft&%r@sA1Wc}Pzi_9u(<RJ%&HMrvXdynk;XN@jB)z%aQ
zVpb^-81YuiwLN{hZAQ8~efZ7?O!!zSg=ZZP8E?D=xPMjc{(S**4E%eL?SGxb7r@o~
z!al7LI2Cu|@}`}8seE}0YOJ6XW^9bjJ5|Z;Is{FOM7C`+#PD^*{e3UF9V&VJP;sLP
z<=OuLc^1^d5uIh03=T5Xt$`Z>ueAh_Ypqhp%T65;_I&uBZ&iTGfQ3)w@Fl)@UE)UE
z@WpO!M^000V<`WSoW=OgP$IM~I(e78KK#Rl<VE<F>45wNJiFaXO3txlGsJ4jov!-h
zr>%k!AKgWj;He`;7Px@du(3&S4Wtt%-QH#&m-{hLL2qnQ6nl?qe)x27G$m6TR`Pbv
zPf_9s{6{d8Tk_`^`a#tvi)gdi6+*#L;Rh5S<FQtYcf-krYQYJyv#5K8XhvY8WzrF9
zm4O_SlC8gBRKC(KE@}J-8M^p0@(!#(8?Qz1alWbkVe!rCfXc#Y_(=dii-h;x@x?wV
z=s4fWSerk#_-}z-!1`YCDrsFM7gIn2y15lNH$S_<Y2oXYEQw`vbGdt`bkH(sjAjZo
z$E7TctbTrf%Gt)G)S>o-=}7c*C7Iy{8JC1wD0RP{U}7MBOmJaU+&biPFCEs6_p!2^
z_O;BfsHJX35g5}a8;@_sPBlBCB?+2Zjf76Yp`BL4aR#V^HJel;u8Q288Bm;PBGKA@
z;9{9mlO^HAS}_`t>8_`aiJmyR?fXQQbH2imyC46d3xF?lfG=HYWOHx;eEAm>Jk<Z{
zg&|kvOhB0Oc5=hc2MFd4B<=GMJYJ_Vu@ep3Y@QJlwDudsv<_Ay?$%~`9Cf5e@N;M9
z3JrjZiMi_|w~4u4^0KgnLihCTlK^V3?*8>|g3nP_Ybdhmf?04(Y)9r&^<gJ$TwR}U
zgx}*BBwbaX&V3|+F&3ZOfV9V-2L=ZeltP-1MSM3rgZ)B^EyR)(?23iVcq*{)SS;KL
zZt||Q8s9_{ta4@v9#ry<pp;(1eUI6$LnT$hGUUa#ky*nZ3qMPy$NDODs>&@5N7pmX
zTJVON=@Y?5@K-9B2Xcic2Nxz=#DZdnq1~5}+phgdo%r>Gq?W~|A3qy}EiNrVa|Fof
z(c;omZhQ9-+`2WW=i62u6{2w|FH!U?w0cLyz6hHD4aj5+49E-c@FE~OhS;^UMn!yF
zTlaznKptbEO16XX=dW@|{`=O2MWq(JIV+grsCSR8rw&aAPG-Du6b^1&-}s(-%jd$8
z8lfhxrk@@)U$Zia%&a6#{`y^ovuQcyc^N~kd-H2z>Qn(OH)ZVOA)pL<l<Clz`T5J*
z7PN^>J$^P7Gq|F=?;~gW!m`Ww&Z`@SzJvbQk~~IkzsI6U%5y)Sc4R#B(h1G+S`*!a
zAO9+yykn$-ZBDT@X<cKs0kNQM+`|;<@zcwL#E;QeKYjfFNrH~tR{)-q>jn7$`SvyW
zN%z$Jl0TjlCI+(nAXQq(?4OOHgG6vmYZ^$kq_*qiuME6cvbM9p-o9@^=gLwc=B&a;
zyw$jjORvFr{n$<ajtX^G02-`@>?AXJ%KXIWos^KJ7#v!DH$raHdAb>8!4pv0o<xnJ
z`YU>@_R_VBN#P%mO1mZB#wT3Y|6aE%^ilRFY^~jRDs+R28S9aTmJy?Y@}^czxavQ}
z#0^yUpb^vPJFs-tC&{Er{gT3{!Tl2j=mtB7it#J1+cJLqu0fd=<;dCy8&9qtpd0EB
zirKwR$I$ZmdZ&S^&?>BKd2{!3;dWzy($rF6A#4|>m_%zCZ06P&Y!h~+QwEXO1kJdk
zJKJ4ASd;q|yaio5Oh@8BU7GbC?w<eRm$K{m*)au<W^88i*eZaSE3C^W-)TzSRCV6+
ztMIABb3iHwFQXVAlvE6l7EpeC{iy-5F}4nL9v=HDKxr9Uh<bKAuW71XVy7mMmiqe?
zff#0yWs!@S7me@+Ti(~__xe(ME77o5u1`B%y0@{%=>wfYd6Z-;-lQg$-qnS`w2bW0
zx7b54JL%_`zvWgxGS56RQZ1{hO_1L7n67+y9QnN52tA=6NNJFfVO4snFz*vDkvaA3
zN2+$R`NE9z{VGV4LQ}}Rj<RGdPYlJ!yS%Py<PFfz0c5#@E94wOc0T~X`I!8m=t)Ox
zWDyHWr6XXSou%ck+_`}xj)ar#s_IYA_cw-Y&|cKE?ax97Sz<=b#DJFFBLPwp2&_*`
z#HF|1b2;sSooYzYK(3e(yXv((TA5>p&5fSs_<PbLNVwdPz0CNu&a0)36~?jY(QmHX
zLoVr4&!>?X#QXA4(2EV9BO9_lvYj>3?P1;n?Wdeq05`?rK}?8f0eY@XT658QjUc^~
zb%mEwi66fH`Ay~g>7ZS#CZ`|v`SW5W>r@TifCcn%Mz5|IZdxu~Z@K;_f5g|HiZx-8
z{lMRQ$YG*<?V`?zJwg$GzAFY+qHo{4RKy<!P0EJx{tVt-$qL=61V%UYwk&{T+wJ-B
z!(cfID7<EAY(2_Zb;F^R&@(Jy5ts{<wFt`mto3^dJ64*!w(S%Fp05dM?+lj1w<U&C
zje~BlCA&V}si7ZNThORdWWtN(XFfqLH{QEy5}WE(n8(#)K^hRrP;(jlfUek%%7M84
zo=C>jmQ}>TH(ehgACD=s^t7&`yq;O-T;;t+R<MB6_2-D@BV&>0<Z1o-`8J~=I=8RS
z(ITd1@SH<sMyJGt9Vw7xfLI^h5eKotFv2&O+ci=jlKO>{2bFl;V4Eoc9Geo|kIP8V
zZ&W&~qz&Dv;wAh1s#>PSl`9S82mp{@zL3v~<R1XQ>npDTl(B-c*`fZSZSxUL-hVSs
zlrt=rWGadpt(3>Ta9YFD$fcgAu9(CA#(QF4%h#z$k>$;+hwFzzIIo%M^2y#z0=Q!2
zb2+wHiqBw)Ur1gh0;3>H2!!Oq*Ad^m`@U*^7}KyDg#E4jSl2`y-kyJIuVWzV1>Y~f
zpYdKxe`Uz?2oqtuDcR~#Q?eHrTt=qqTv2P_W1yhWufZi<6fDO#&1b2=S?Kjk<Sh0l
z2`mw|e+u*I3HyceQzO<(+L74NKJ`$j_wWjkQhY#!U{V6l8UNH>VPrH_pGZPAZYanV
zZ9t`tl_q9Sz>ML(zH3Tr^~1m0eIPoK@ZvRDC9Ly2DT1cy%Y49QW%16gp?esuR-ncY
z6yj}iUZfAgT+vyu!uxP2S&>SlfNACExM8v6l=^RWWdYu&NGRCnjdw;yBa~s^^l1a1
z34nL2cC-!!3DXtTf-%(@=BzR4Y1bmNY&du|+gSB#^Q2_+z9Oy}fyRnJf)$@}ww|7X
z0sT5&@6&2p=5`|a0@L~htm<v$>kejfhIjg`C3YA2Av{rVX33V1pXU^^IgFu)ZZtxC
z_1Y0EmYI1wLQr%VE;FBbH6O_paCdA<x>mBs|FgmQiFbGQrTk07Sv?ae9x||a_j(H8
zn#1b<{_p>C|37IPawExU1pwsK#=~q8sQLEcyvZ?I<=)H4x4cDMbt)x(n@e%u11!5;
zZ1Iu<0X;Vz&EXu|O{ambE^rw9%Z7aTdD|;6GZrD+PO~sr_g!VxeMr~L;OMWHxEvaM
zN2CMc)zPl-0A-rlKh>D0T6)nTkM%QO-}mnTB9PV%7}nhU7RcL{0QHHXq3uJ6X9GUS
z{|}>rUk<rCsl6s=D2lS!ka>wXpI2gqUm<v9KT@Z6?;E+@=RAZmTu=}JCwCOmr<3Rl
z1Ku$|Y_>|A+BFHcSz;L>X5vPp%yyq}O!d)@%nltf<u3*>g9b2>-#YDYj)xmXy!Scm
zw4V`$S?(TzbrOx-b&#9ZZNA!-vF@<*KSZ{n-LeS7&9ylr%KYqBeBUsrNVp{|2#lff
zPBwSF$Em%=o+pBlS2WgP3@_wfg89H9JBXTLoK@XBhfFm9K&2iI@-dycJzjn^QKUlP
zGilZJpBUmvdemYLu0y!Fql%|<ce_eKRV<Jk&K8FdnR%yVfY$qLWRGWxwT411qivv@
zDK`!R)Pf5?UYz=I>IILYhk08ekEoSvI_$x**#`pIb(q4m!oK&m4}9=9w0D^LbsUlY
z+gzv`zgD)8@|Ulh#0^z^I<G65=cJ}^0tEhT<-5`xOC~0eZ<-hY)YSiI3S@iz<x3Y2
zL;E-7f(NaI8*Xu-e`7;0-=q5>kmGUD3o41n{#J`n*1A7AEe`3;4U!CrJ~6(oGM=ub
ztJ#r|6FZ#_=0!Y6pQ%S~>eLmsjGS*+1ij(TnK7SXv^S(o_wS#xIy1Ji!Jy5)uI0u&
z!G_Q0?Bu^GXG8KY88FpQSA&ytp$C$Cc=3V`tgk|r_T8Hz*XaNN@)o(TjK6`cK~J*t
zu}HSR^}g{9Om2C3Zin7Y5S|tVp#guw1W+8UY^<LF8CwPu4MO6}9+}mwhz*AB#Ty(5
zi6RD&3ZAom5n`ozrFDnlf17SludomcOEb@!VYYwG&pYbV1H(+=^RjI>gXk*T*1~&r
z6f6{Eno)ayecrjN++g!{9*z^dN(z<gu7g)PG^w3UyLnEPPiyxb(_y9S_4q~3-L_x;
z-7aZ|$-2LBdZKqrUx0_sfeU!OM`cQ69^OI|oAJe3E6hUPyYT~xRm!?%$gKpOrIo|Z
z0`b;6MqNJv&ZMwVI+n-xPN?L~3b{ej)BI?Hh9^W#>x6smzeU!}*F?F7vf5ACMt)-#
z&I70I^0yB81(8}W1vRB47lumqs*#%N+0(~Qrinh9n6I93j4>8zu8vu0f;5RQQ@0BV
zSp_QG_sjIv)jp9&{m3@XL;k0KQX^k12~Y!g{^xzbwd+?M9-RaRhTiey-@@nGS6eR;
zvpZ-JoeZCU3!}UeL0vzH?!=+C)fX5b{UC5DLO8Ir*Z`h8{r*z?HO>`n_U){4WYz=~
z8X0bje1KZ%`nVNzu4CMOCk5~Ral6S{y<Dq2nVPRzhPFi|W&2k?kJy01lf~dB{PUCB
z2U9?=_6RXqH+z1ir4@)sZ{_-_kb+VuWRq`@>$^Gc>#Kk&mahhK7e9j+@$}IFm|scm
zphmEzTseMJ*<h@`#6N=iVwq{r2vRvx;Ck;i(vp{W4l@Sx4ExneK&Sn~L??d@d8{z>
z+Cd@lXeExR=sfJ0(xMDXseWcb(HD{r`<-6!@MitWZ!5-=!GZLAl3%}is3v2uicWgD
zT?E7=*lC;3w$5SVUJZiL)cBqPC2RHk##s3*v@lk%k$8K(8C;VRqF}v-*ljo_T(7P}
zrYF3m`w6&eL5$_J)g(_YvR@TzivB7Sz6eQ2{CYxVg@Wto^j7qyCGT`kkN?$omG$`b
zJC%wzOo*%X`Gr?qW6gBx##J5y?cDcyO@3}9nkvL33nj+lB)B6c=l-!G!ZjE;bIG1J
zGW(l)d2SnMT$AO9Qo0PC6ODZIn{VEYCfOOUWvVvY5OQn9V#d_K^4adm5&YmNUVz?)
zilWMq^ZE7v1%fA?02wlR#>4b~<^O-*0Dxk3ydJ!=c;D;epTWwD<+@#QIiV%vexaWi
zo2{3->pQcr<ZE;+ch&uU{QQI~&Xc~8G9WwRht2chQcTvcq2uB6eY0Gm<%Ei!jfW1f
z-E(XyqtY#=H{nPI0q3jR0<pLzO|~!y=<eziW9{TJ%rEcAF7l6@hUSC;W1cs%IyRUU
z3a@U2g?mwFwqgR=#l+qwp+G>!oH9vD2SBtgQq+LgWtynS2D<#!kiYx$Wyd=sOly&T
zp4k)M+%P+p-4k&g!Vd=pwm4P<M7CqW+P9QN9jjeFf#{P>IE6Ou^^SP=4c+@ORtgy@
z%ve{J-RA>+{cz;e?_~#@oV~8R=Bt5QSSK|aoqUV9p+Y+^&Mh8X+k32lp;pn*A6XN0
z)U{a{-9}q`lSIR`5bb8U8>On05%?yvmQz;mw35E-Q6`Qp;Hl<7xtOqe3k+sRFpj|K
zpw4j%z}l9be)W;1g4WjBg#I(BQPY|}$}V4V=iJLA(>&LE<~1I!V>0svW3~{}4^q~`
zCoem}G?}`+Wfn4`AG@ttrXD9?5M19rhm^Erv?iPRg(-b#i!1|6%e5<jyCh*meRwVC
z_ToHWA`JR6;m@r`+m3=tcYGVcoSyCmoW;5V<vU|o-Fv*gn)`y!K`m9STtrQcTn5N6
zk;}7B0DpkmU6Fs#0NE(X{DWtlYLp6ja0`@s*&gK)=~aVd0llSLr;Nb)#Qn>>;EQaf
zt3Z7amah*cDWWUmp4#e31(gnOV$r$%cdKH|s|`PTJQutsA1|k)a8%wYT;H0DLpzVJ
ze^(0S0Nob#e?)=Nj~51_nlgxrD%^=?^|iRd@YUaZHr|j<4HxS+3%H!C#1h{_<J2UV
z9E;YDq6ZOur>%?8Hzg|H1~sa`egS2eb8Sg6@EjtkYHX0CN6fO2$%&iwkHoNxq1)~X
z^AC;oQ%GCF`P2G|xZnWjQD3z@aee_*VH9k0TO^Uj%o@-8Lh;wafk<!fV8vqeaAeDB
zJ72lvmvD?yt9-{?YmpPW>bR!^!IWS;{T5~;_wqBCIl1o>wiBnQLKyy2SUG%f?lg!!
zeTppwhd2UNre#3`>&FDRS>4apDYydAor|O(dghI35aYnGAt_6Hv7pSox&oPAix*D3
zwB=VQ2n}6t@6u{~ivRK3yjd#}O#K!9eTRAE)Iv5htE61CnV%P}>NbGNDJ}9UkH1%8
zw1twQABk(M2i@gEbAeMDje1>+Gqf2RC=_Co4!&(2CCps%{pQv+D4;bQ-hayV7lo}k
zD{HlJmj}zPyCez|Fn@zJ;0#v>Ojy`<x{V+v`u>j4q4%9vq<K<v0MB{V{^xlBK=<mG
zXZHcG0S*6-hyQ2#*WcVuIkCbh(6~i6k(Ti}q7NN?>iDgU?*;s{eU)o7KUTFGaZA-|
zA1F;9M8}nrJ{qso^ScAo-wN6lNjyaa1>nNk4I@ABE1zDp>TctoOpppX4WbcgBj2l5
zW^O#nzp>21cqk5CJ2R?GUp9v+bo0}#{C<`Mw}kOIGs(sxvrnCdRSQeU`jL1<S}=db
zVMOM`;*IL#gCE4FnhGi-fwDLT1cDB)Ep|XWI!2-8Hv;{YA~#I>N(D!8z|oac?}#v4
zbQQ#|=;5RJABK9z=RqEgfqZUL<A%>BGo%+-Nx4ZHqs!mD=7wxed`aSuFNzd58-IIF
ztgd;Dg@~)SiCg%wmodUdPZt703p8>f6n|cHvTp~R1%U0<t6Wyrdg244W%uO8weRak
z^%e`%xq~edC4Gi=lcLOYVeblR(MIr2vw|y#Fu|1}R<n_It<bMeUOPzM7cjGI0yz(M
zd1dN<{4TZ})&|acP?Vq!>iKFt#=XFs$0bFvVJ|}@?7Y|=&`l#`HY+B)*Lf)XW!4t*
zh?Db)$mm@)l%{}1<6B|s2A*x(!o(W}5p+SW76F!fVf^a79EJ)a{@WqY8AV{pWb@OP
zhMDaXM|qXK<(ad%m*!21o;j_p9}<3TpC`_m&}veqUb#X(9{$hgTm}qR)xJ<%dGqG=
zzuxdJ`Qw#-y<0gj`-;AHj(2I;&S?`dD)xsU1BDN?vE@z<KRAkV7B@$9cOaf8P<DRb
z>l0!K_Kg1kLazfP+KRNBJATxlRxeVB$4w{tY5Fp<#;HfXNPMW=P;cgue{q5vYnjX~
z;k&u$-l+?_fK<1wAVrVmaAW`BCYl?K0vvuD70SPwEYIgeZ67Q|$XK1hyf@laMH}Eo
z4}p((F#(2U^Ngv2;1>mVss{<jzkZDmdMhIHBm17?;Dw|Lphm`G>t+5hZyK22j!)6f
z=3<Z|9a`AJifZ-b`VYWts*`&1GEoU3k5;4)lTo!l$_xeKh+M^awxYIwzpb;!o$r6L
z-5Z?CDlj765pQkoG6CA^$@(@xD~a>|3m1`3Cxs5s@Ho3DuasSi%RyGD&(k+Y>XjLU
zHBY)fX}!#4q_RskgM{J~raX-dTb07*%|6HV&r(o&2*m1pr6&tznzB3|xn65r%=K4W
z3t%ldXc<LQ9Nk$lEx?Bf(D&Sb_Nyw-Da5GuG6wRpDIMkGMzCx^-J+n+&>ZHJrx4w$
zQ)-g5>9YH_o!90vFwSf*<Hgy2MwSW}*0YvV)ta1u_f9&is&kKVOh$RaI-{pRva|5E
z&=+RGe2oW$tujnPvQ9Mnq{ti10l;ekH8pZUAbVTr+7(WRtAH<G$iyS^3d(;`v8E|$
zg8uV&M8k(h+>B`&2*<6>`gLyh7WVDGpJCKD>F&CdgHN6~L>Jr<e}#aj!9mGQ%-WXr
zZ!9cBw-6!`zekMb4cm|#p%#G(K(Hu-()s=K*)6oXA#(v%y!rdaqLHok^MM>b?ZGRS
zm_^@bOB*5DVDhQvvnuzr(9nW7*hKbbnOwPo#B=)%PwB&5iLI&Wv30Qh<KEe`b2&G$
zFW7h~_0_n+E^v6oN`3#7@0!ue!PQw@+fvnbE9L^kg;<+$7}J4?-=l<z6|wGj{`kJ6
z1yQ!uXtCRck<JS;LSAX~gy!eF?!h_@mQ`!RiJ$HCw#6`I&n(f3bN-9FFZT$3d~|r<
zJoKxPC1m%|UN|+%+yWOU#_dbq^f3X8uAZy@xfU%d%Y&ObMq9g%#sk?(>TbkYrr}Bo
ztS;JRyRzY3%nB77)l%AeD0_=Yw*4M3Mc6&AK1P&!Y%aRkvGsMgLkv6BEnju5jz~uT
zT6uRG7S@3W8fKr%?Q&(TVS2D(<xrdQg1|t@;S%8B9Oq2Vx)$A2NzNY*{S{Y}dTfNo
zu?Boyw^Ee3GmzOeP+10HCT<f^TBMzoM_v3rYU7NyFrPfJF^X0l&kG5db<}@xxcJKM
z^YQj)G~dmpFC#J(T>_lsn*+fAQB^q~TTxyE+`XYo&IA8U?GxwY+g+t5c#^qQhD~dP
zPF?OvyDWrx3>qBVqmLerF3+`*xzFo&er!9>PVz|l^G;rJZ+Y6HV3iOO{TUA#lIT6b
z8U;ZiZeP9k3%#dveTLTrK~$D!UTI)-uw7bp8qLb4QojZkj8B^9=2d9t2q->&X`3fD
zf)(z2@^{PB>e0%u(vUJCuSs?`VD6=b?_eu_tf*8@Ve>p}fp}vlGA?7KUZ?i1bcmHl
z63Fgd``4ziWJj6lAH+`wojRqWwRLFkX@B0a)4CSq-OoiDYoeFTA4=nG_;~MqdXHTT
z@>arsI$Q!#(G>`1xFgySwHvY`K4I6rnk7R^Gfv>Emlq^d>5E=xk8|S5bF7L5yT%Q%
zcQ{@7#bk{Dv7(^d2pzMoKH}ywumV+uR={j~ucx_AIeeqfPL$QOl+evHt3G9&Gy1sq
z$T5fMoBG;M@)f(4rLYmwN|19<hTa7&sea3YnhwB6GavutoduU^hntH;q9~QLd*<9P
zTw8sRsbJG6YQX&&GC_Joy3$fr;XQ8lx#RcLdz5NCbRwU!u1U&LSBturypUFJcLYlV
zhplUtv;EPqx=3CmS_q}osKE|0FJOPmUwh^sAf?0(bKaU-v(YP%6z|iSJIYo(NRPE5
zUmMXmsNLcu`}^v(>wu4suW-6#|C@j!8xth}5MLXHINa_DY^4}#CT(QtMB-HHq=F6L
zJRUW3TbxHBm#^@@E+1Z#ySo)i?dv-!p#>eYSu7*mG_`^Kk_zjHd?>d$6)pmH&sslU
zGDBNTBKM0+-Udxi(~K40vWCS@0n-j<t=GmmG_PMR1mq3<QYg$STFVJMqg#B`ce))N
zBBG}4`f*5TjvEzf7%n8Y>K$-QX0_^!Y|{zds3WA=z7yM-d2GO^DWZ>wRZdd=n;$Ay
zx2Rg$6;fm}>a1PTZlP&2WZMr9P}6;#D>e6cE#e{mq<ut*!GqAGYnPmbzS*-M(0&45
zeHCzCz~6@wy&+j<#wt9*Jdwcf`hw`<SUk5Dztz+`pJj-p4VGM_vFF$N0JY3HcHi4t
z4OPzbiG+Ks9|ycEH;{!*JxkJ}bK{t--{%Z)rZM#<L$kMkO$R;VX;C{F8ktf8Z)K`9
z$IH-DrmSTjNM&xW%BsI1qwpo6j!FaRdM(1zX&hjvsEF-tiwUM>5nNTh(J7&~{H3R1
zc>A_>e6Al(y@L0hW)H8LgQkjlSM|Lsg2gqVS=j{E9{i5?H#DLnMNsU9j%QAFVv%s=
zsC+@B#q1Hz8kBx4dgQgudKB;;$^L-X451uTBOVLqCaT<#p2hjQdgx?xzQ~~NCl><F
ze@?$~Rjuo-+5muD4gS57Z;fCo8%0yyzN@m|y)G>Oj6J^C8|vR%k-N~_LqA8!mKOBv
z73y?Tv#e^m%7WKN@MEH(*qz`BCaB`=J-0AXdkKvTePLy=FH`9LgKuulCynhs`HCWl
zE=cCx1GA7#l=b$*ILS7JA0dO37SwkW+j$v|3)tifI8=ni{(c?klDF$3Aq`n=uex4w
z7VxzYE97SOuY&pSm&8>2xEpb2q@s7`gm$>^v3&fH5~;CyxZmPZ01INf^jGp7D{DTC
zutl^MRb#-6RN><&z8X|%a-h=5jgDZqor9CmkOX?xCjOyKf5a;*jo(u5;FT}L@IOQ<
zyi!c~UOnwrtRBQ>5Vk}Du-h=%Hk5p*QK@dBR%S%-IjlZsZtm!eG|foA)$O(8?RkWy
zb<ZRKS;J}zLWDJjX5eGi23@Oo>5aM;JaTj>$Da^p<szf|jW@h}d&;$uEXv;N(!+&}
z%|x@%eEdj8>3A4Kf@n1d1U^b-w8U9o6&f!;Yo3jsP9=$sCPPwxA385-!9Iu$|2a7l
zEO`N>OMOPo#y~fFlj~Dqc~rnu+qeG2d*7AmE+sU|1J1hf_e8Uqbf-(JUtH4ABjoD3
zg#Bx<wt00DFmGg_JqK?~hM@&o`f|ZQcI1^hTr2xeO@M|gD*mFx`h93)&>C42f&xHy
z^U<5vAEmSJlHmh+ir3^&xT4GDFehs}lEK}}w{xRdde+)lZT%wo*{^xw4cD6>J0N;|
z=a0RNs;bZ&(}#Hr=5x8m-PPlEnhm?0P&cY!mo7&jUgEFs5+oEehg_`O2oEyfbUqIJ
zbbMOfuQd26;Am6X-Ko0_x!tGnMkpM1Bc3mh=<ZmfNf?z4iHV@4bt|}xa*jDvE-QTs
ze@~gwTK7CtwiI}HnAcWv{G(Psl}EUVK_m+KRkYFn`eZZrd$`>_G~-mlk+ez0a;SH5
z-f`>YpQLmA-jwLU{jpLPzHH!+FFQZRcD|quIpSo0heYrju^L>ooe%CvXceTz*H3Y{
zLz)@nOOQz1IyZvf{6JMpM_`u>C?%Y#vzzHxS7+As;mX#%{vS!#0hZMJ{jqGAR;FpW
z%FK}i&AmtE%vG71BA9z3<xHFnb6e)hoeL+D3b?gp?g1#cElmY+l%gq){`dR)<0Fsv
zdLQoPJ?DJRe9xhfgE8RX&Wjy}=B*B<tt(|N7<53mU|g^I6$5z5oLkK5HdZrGq_XHU
zk0L)kztKykKKOH;!H|VqyIMK=*+5c5vD2RqcOTyE7O}768ds9GVm-%s`pL&7uD<$*
z?C7#;{;d1KFB+RGv5C$`P)qHizbGxE>y)fK&n~g(3v8^>_lzHg=gjNroV(>+9=h4G
z7o|5jFH)z!^x{SF-oUDTzI=pv4#!`YIXA;D_klsX)X5n0VD%QHnRYs<Y<_Go5E6<+
zt5qpIFuf=pkm_<QowtZoQ=UOBIXxcDdHOWhnd5Ii8T0F%J_fi4|6_#5W$$7%HfFY%
zmvyq_RUb;feZ)%Bn(Zz+z&wze_2M@|8DL@5-g{IMeEv$wSO8Ol=(*anDw>j@sR(2k
zM+)+*TI-tjO64n-{-A!8pO{;b3+{WPeSiAnlV4aWV<YV8({e$iE&D=-a_pm~OS0Lj
zLg%FmDPLl8J&d!K!VB%$?e(;tUx`c2z0>+^Tl=ciiWfSpdM;0doCA<FRVs+u7#JTJ
z+@)@acM5@-CRThT=qI&IZ0YnDxvnjo^CK%+wQiXU^4Ttp7_=?eDt|W>pw<&|mYBh+
zOMRQTt?3zQzkq#@zV)`H@xj|4Y9G8<K5Kh=LxOi>+4+yT3eVfp22+_SWsdO?zh>1D
zUq|ab_7(r{ty=8@yK;_`Gdd~N-J4|GAAdH?+16l8u*Q`r(>mSrj;;I*W0bt09Rb@K
zVB8EH75wf~(56`DsIjd=?6VB5Kl8MTwKC@i&b@~1-VJ^+(CPbJre@K7ET4kQkw&P%
zpgDpk;i>6ZGMoL9%?}gnfohi|JnR<X)4t4O5#tQd3!=0;f0Gwz+@6(7bNC$v`ZQ%a
z@Z2qHY!!RXvOKc?{ql@zLu|{SFQ0uryOVRP6{X#J6S7G2{J334s7i$CWJF1!nEsh#
zNv+qnX$3ipV?H0R6>DRm)ZyVm)_XV2fH^Ryt^tS;{U0K50Hy)x1LrX-9@^gFBVTM-
z^Y>477liZ6b)!nd=RUYdLCEA_YXm+nF*^(!x<9r*d6daa;qkLHkxg<+Oxbu986ILa
z&+N-(zKf5AB}4`xt*+cYtPl9Qz2zU7NLUWlA8hx)1I$`x2QwWA5c%=NEZVIL1J37;
z%IjNQ_%<B*rQKoq)CZ(ohE2I~U2S~OvUc83M(guziy3A9-<k8)&C;?(-#UE7+|u>y
z&J7UPiYjAaKpWA{ATGILieV^0{-6+#Zb3)-p^`7Xr~h<Sb{_R0;Hy34=f0&CSK8Pr
zthlwPjW$^0!e?VE!)>jK_72(WBrmpeRM>HUZry$yf|4%R2XpO#xz5bI%5tTo#6b%s
z3>`~5k~R_bi})b;6H?;D+BG^Mv|s8fyXqJkBUYvrhb|e(QA14kkEjvSw+5Y)Mo5gW
z%nvUxBB3OL`>!i6sA;MkH$=~7^B%Y5^-*|uHah->Gw60)ru|PY;iU7&#%9kFrwFtT
zVxsG}Poc?HJk>$=w)*D8ycNlxQ%}X{#-bTqdhcb)Ek)^yw{CE8m=Lv&hElr=+^E*S
zlB2YGy%YM)Z62Y~<#t-jmGan?mafQmRSj7bKT$SAnR*`Nn!o4Aa(HHq5bB^U$Adi>
zh&q}=mTXbqlWnZ0?kf*=B;_CMER`GsW*!3D*luzGlY@?Z0vSIBoQM;k=fc;59XiOm
zCH>+x#dnVJi1sHR8vkWl$im9MEK{X=?MkzXnk;cUPqrDgtG#LS7wQ8idNPIlBIW{?
zLT9gjpbAR3I6l}i)wjz|$&#+Vi9S^g*Qv&8CqJ9h*w{ucNPk(pFBc)2S9K1dW)}DM
zqj%t1o}kK+lxM4(ktzG|IwYwjqq!JpTbiFYd<U`6U_D_r*<`I99@A^?-$7vO;d+CA
z7GlL$@orm(II}lSN`3IIw$?qb``z?EkY+8-YjpMnWEVO;X$;kXPLv?TSN6t3JZ@t%
zMHSRWMP%r+*U=N<Ax2jC+qhtRnrn30Fq5{lVQsw=8e6H@!XqzQ_Da+?uC~`xOz!5)
zd3&HTUtQH9rBIi;J#YO{r(!3^_x-+#g@h^LUB7`>zhGhR*vesn3;y=TOZ<&zvhv2_
ze(wx^n%L!ZY9o`{8nD0F8#i38-%CqOkeTpARV1G~{`h_Rw`f*Pu07|T4Av*0pBkl&
zl}i+a0p)E2)YT*x-Szc%^EU7HYnZmXuXtWB^4nc^V-5+aTYO)PdD&P`HsqI-{H_^5
z*n{hyzEk4Mde7)h<R57K4nce6Aq@NIvzsvv<b|PR7dgp#aII<Dg_5|r2|+yMLW#J9
zhqmW1m{>jLWE1n{q35t2LhWZ9kg)^Z6O0BbQb89^f{q)%1%b|hN=#HIg6#|@z-^y^
ze+#SmrHwH2GiO&11czQOwEeYQ{Bv-)dYCkOMB8>t=G~G#tLReh)c7Le9FL!_iK0<a
zo#Mn=9C-$At3pprnHqBa;)xHbCfZy8kG<N=vY5gfwk~<;lTO(PZe$L`+ej$fjSdp(
zK;*5?%ZaC?6&x(85?db5wzS1lw@&WE%)GspG6K~Hyo>556Ft%RINn9cEaTdSGf-an
z>eb@0$&ahUEL&YcQRY0^XacDo8!S?rZBuLKclrXqLE}i}$kt!eXt@EpewhdLy5}%{
zbLQ%;-P+`BOGQ(yw48)GGLQYRHuEkm#5N+2Vy*S2{Oo7hV#0$$12?Yz<`Rg_2*0LL
zLH%4-!}*a_MCji3#O8eMDpgU)NVhP<-iC~;aaP(6GZ}1dE~HiC#XX{Tg!{PhcgL+R
zj!NW2K()Ts-n1j|{o=hBf4kzV;r+@x*Pg!s#T%c#dVjNvb5HKXGg)&3)%DF)3L$8~
zd@X}iLDKIPJTtFomhx>VV_u_fUdfG9tW5Za8b|c;<E+nP?S8IhzjiF!guY-$&#B9#
z)(Pc+_kNS6Csge`BuE`AzRp!86PNDpa5Yg%%4KmjQ*KEM-}v%Qq;It!GzzPQ%KKlG
zPyfX><P2<q7Y1?&_bwmP1Bq~ePNoVU2c0~@X}lj9Vs(kISd<Rfvn<b3abp`ep{Q^g
z<l;kzb0YhZFKrPT@MnrabAzE*{P(s^r=FLzf)DkRlQlf6mrjz6M>26g#zXy7>?s~Z
z#x%|DSfWA!(3U7WAF_%xUQ5@0lbx{1g@C}V0^Sd_W-Zp%sNQsASR0Z(c{}>t=t`vL
zP(i~PHB%X<%(INN)S6-Sd9H*6?CYd&HR_ewm8lYM)cw?QPsYnOJo=3H;frIfyD&<p
z^n*XeCAu{dBu9R>%d$#)A}4`Tu7eo}%=<5bZ4@t{{}ZeC=rh(DmKV^Lmpf8rt!$T)
zG3X~WbAk0&yfuY?ENO@&Uphk`U2n(4hrl;O{HMY)k)hDELK`8bV0YQ%nwF({7KW$C
zh%{P8g^X7%PD~SnuG>jy4`t)yD(c3hoVst&Eaj1X>T)nY=RtOzxbUABPXvLjrA1EM
zyvHe;9vv59)X#EKDLRfz+;z;a0~m$zce)JMVBO_5(;xmCeyYHwMVlLDpprEEgp`^q
zrSk67Ex?Zlvix61j-sk#3Fav$2Ln$J#JfOy3L+@UJeE!=@-rMH`W5KV$4tm}c&@Zf
zLuz52btJy^+Ra2~jl2pAN8+#ewAX>DA}72rCSDW<u^j`Q5<bBa4NSWg{si*+&pABi
z?&e0obT_h({t^V>|1<{=xA)BKn`vg<%(EKKZ>6nLZ6#+emoGXE{4fa%Fl(fktlV|G
zZ{M4(d9t)HQM{z@xBsy6p<hFU_67eoIbFq&In8DTtlJq(K=XK~*p2XY6{TTm!}n$8
zHZ1{V97n;cV9O_+`Pq>0?bvEy@?xP8yY0R0w;6T*X#AskB6&s>f)vDUst|<T5@7~;
zp6>iwBfq}K%hWU|A1A&w(FP_HO+C30pBPfa9U?>h?TuToA8)#_+;XLOa}ud5pVzW|
z50_0kiw@Z5u(jyWoUWacH0o$|Ad%J2f7WJEx^8B2H@;X1U#yn~<~MXHe?l28fFN#;
zjW6#1@v9F&T0q0u8&;69axtyLLrsZlWBEtToyieO+Tq3{Nk76dH`}LGjko%TWgp!m
zIOb_XwR}E?_z!5dk8BsuiziJzAnC>5ym#Yt`g1*I|00G{?{vcXmzD4}jldvCc&6PK
z2a1NuMIKJ;eutK+Zws8+Zi1&^TJ3u&w@;ONz5_zGpvzvN6d75`R?WxT39FBmj0uZ(
zXC{B3%FieQQR@XCp17S}`4Oo`VUiL2K1x{~Gjf*8!<b%Rw~()6C3i3W<_+L800j=H
zah4vSZuk=mOEho-hyjYLIIQD6Y>b0lR386#0u@lJan)!g3o3Va=H9g=Hzlp~$?wvq
z2XoNU%|cyJCt60E@zcGko5|+yw%jK6YQ;{F&KIFXsUa%iGmy2zQ~IJ7V`i~mU(N6C
z6-14w^xqo!-P54{wkTNHQzH=xmb|Xb$4;xMFPEv~sE8Z2g%^7jc}9=v<&<}koK|0Y
zC@;&HaaY#po-Kwrir=9qo8Fg(KAkst{n54o*<3dM<69G&`hKQgL(o3?*>o*s^IM1E
zde-tf19Qqc1s9uhGu7zYBtC-g$CWo=_Yzd-;3J({ADo7zfD!LTNliv(Uk=Ch7r&6r
ztzSc){OOg;X}>bnv|-f{m8>iwZJsk^NnYij`uOX&q>D9prlYtcz*;eATrl2TF=2sH
zJG(cQBj{C0^i<J0ks?n^8<?pevN`KC;Xf+Yzu#<ee&;E9k^PwH^N+#&W_H@XcT2cA
zvt3JAYW&y9EmQh7w@qtC%LcGjb*~~{hO3YUW@NU1EnW0PyVVeK6kU~URv*`h=vRPF
zatCN9`?b{MZGoypn+NyL!Ig(T7Q)AD+=5I8-Nqip*;kW^%^T|2zSn(FTRrsNqp4&5
zJ3Jqs>SRd?WdJG}@Z(un079O-1Mp262-s5cA6bvxGIggH62CA)^*{On$1KOnpdLB-
zwaH`5)+`613>QiJz_(nv_L~mh9o}4h=zDlAK<+lwX*uMI?u)Yer#sBsF&T+E0YKjj
z<j$Ryz^Bc~%m|&*p-N42zFFNfof-2N3Q4Cis>DA|8NKxnIpe$oOmpAo<i<F(;)W91
z!LQq%(F0H5{|L$GIdQ7Uv){nD(wr~$^U9fpabI`KrrPk@yHW$Ve8Aq}IQRv0OZ{Ye
z3($qLBTv`p`5Q`nm8IpL&t?#GaHkxn1q>I!L9KslPi$#hFGuv0Qf)3$1<&$KN?}Ms
zs>ukARq-(UTkdJsg~v684H=Xi!dUo%%e$1Iadg}&3`qIqsun<lf6p1URZ%8)!v~&+
zLC#Sy?^|WU>>J-XJ0%4h^dcB--;sTB?bUM68iqPAH#wHT#HQ^bE>#98yoS6=!&;IR
zH}0^d>U|V3<~;NI9omb7*yk=>U*%?{Sk(z^^OqK{otmrl_rz6md&-G1AydzL+U9C<
zq0Keb^;H+h<$U=KJsDZ<9HljnML|xQn$v{vo*W;~8hmp)H7jRZ!O`}@C=z{9W5WUJ
zY8!R?!IX7G_M8o!v66c>I(_Ai+sR}_o^!gSMbb>(|3dqm|4|rZ%<>or^#VD+|L}s7
z)8RhK9iBbdRwu=;2V9`{LsJExv3`|C2|LulDkXFHxRAwWo|TX@s!?P94_v5M?^x}S
zBzR9phOwG*Tf!T}Tm4k!RNdYJ0ofUQZ&m%p1}1ip&UIDCBl%l$|DSv1z8>H5)r8S-
zNOtqpMEitX<T85Gy0ovUVXSh72mIY2`hA&HcAXo}`J0j9yE~;~xi`^#{KtV&2@e@|
zO3H;c;xe_~a(C}uGEN?vr=7^+Ssk$rBQ6Fzn2ja{Gxvu#_pTgy9A70-hjq)*Pgj?7
zZv4!j-j$svti4R#OSU|>zk2`ms+``^P?Yn0OZ*kPUC$pMRFWw=!$Es!wMpq;`vFTA
z@Pd9Q@1Z&C{-rex;d7Ys)DOaRy<I<zGPS<+h+4U}B4TBi@e`%9mIrhJ<)@_d%E%l-
zVSbk3meOAidBPQI>d*ycstV?8j=DLI-_||&A}ahOjrBR`b&!#8DBRy!QS#;kQB9R|
ziKC{bs4u{@Z`)+&`KB@1<TG7IY(r~;_D)M5YhPbc&Mre3U7IS*f`894GUNgYr`<6Y
zo9ySuyr%OyI`yp?x>Zhfr3}KYGD7ql9eTml9|#Zot)0L4PPV94<lnPnwW;UFh|UcT
zI;QLYuRT#T=mgiPM->;NwS<CYV$d(Fvum`{Z^Q$1zqh9ROvA3-&d&G4W1#lqEl5;0
zF|S?JxWumkF|xR=Y}{$`HYc08W$!*16nr^zvTr8eubK%}r+@5}DsYj(D2Egn4KI_M
ze5%eDug}7ZtKTJ1h;?(;3!736OUn-DFIQoSUJG@8*I#Ig*z<4}mD<8fJ95w(tgU9c
z3ROMws;ai3aPWjF<qrOOTy05>i<ACEeZyFB(NW?Gt_n*iT}HKgf7|iRQ0%x{xtd~!
z{MIV-C_>gRvq9C!4^Or#7fLJfNJ#$v2HX_}3o}R=eh})THfO2J$LLL?Nw#U-j%izR
zY~9+~>bzqUd*hQ+*j;f}4c@acU&6S1Xq5R#aEW%=VkZ~fxU-Np5s@o;E(`MN@4-J%
zX<OFa7n;yBYV8kJ`)8%7J_S_c<u)w_RHyJXo#}xMaJ=>~s8+IkEMxBq3mG#6T_Gus
zPVTscnz}n%3rFj}Vmp3{4X}zUc+a6zjthHV#I<zfw5un~lCHe#sLVhQnZNIN;dqDU
z(@|epk6e<PDRBv0CM?c8++CL@nfL}IPaiA|DNF)roPz6{$?^`+@JzjAYU;CUGq$QY
zgW$eU8#ij4M7n{qEaIp)aLum1DN|x){<q)t9W47PO36rUX1IGM{S(VEJ%Gp{meO-4
z{CI>>jiy;8AA0M3AqK(WGY2j0>UaOE0lKf!j~aY^?z=$cH<2>Hi(^p$oxsDVIy@pB
zX6)RobD52Y2-kLwt;t!{_-+&_h--(ug{Ch=PfB8gOlr6x)~TEQ&$gg@2u&#5YS}NW
zZv6IF9%t%h?@nLvN?f~Us92;;R^ec6$Ln&D7!#I^`)6`R_4~|KN7u5Uc+MoRvb7+K
zj7~IeTY1K>H1za|^seXcyiB>zX*DX^Z~ua0#E=@8vfio_ygwiG#-*)vx$w9IwHwBT
z+PAnH*eh4!H&muO%vT0S>KwAyyN63AjNG>f1I)_7{S_f7&N0rLJq3O!Ff{Xe{lT%m
z=4EI){(X(1DO(NUryp%`w&TI~y;-Mlh(&;NRkfSV){dY5tj{!bEU}t^-(1%K;qSk{
zh*OnR_cNPOENdK$kTXxA1Xg5FN^pOg4$YecTU%{2w57ySYM}ku(vzr(du*(nEFit&
zhoI9J*-sI2PJw>-LAUeWkp2eteIZT5b<5DWj*1*_s${Tp$-PYL)W=B~>7LalX)qrP
zA0)iQ8=<uP%YKh<YGlcnBPFeys?hJ~`fwseD6^-egun0lL;^uc$i6SAL0ycL?cXS0
zbiva#6=L$NBB3#8`uCRGwCe>eOt2t$eBl349(00RtsYb#@AkM~<x$I|AY|2M8rA0I
z`(7tjuoQ^k3Ll?aB*%JdU%mz6)dQ-*K<weIxLwUmLb-M%|6lkiBdT=1|6f?E_)d*~
zkd-BL(xpJWu?l^_|FN}IthQ%DL|6WPX8u*~VKSonPH+OoaWeS*K<I(cc`g|3v$*6d
zRES%6OnB*?f~gYc(u;RoU<O~%vXt;jco|k6)jC@6CVLSaYc)!q@bD`N_U2%Q?-f@1
zVIB?pxLrvkd~ZjF4r)$VL4s6J_K8CQsHC#j7}<n@zYFvbV*b0up()s1veQ~MmwB*l
zuTBAOL$^~xyy@_K;ppn39YHNJ*=*I;+BeYVi<$T2)`|U2&ESAabJ_aY?5{x=5FF$#
z@#-8zDA>(RBT+dgCF|{_d(dB4KN5Fc?uitS`z7^T>nreg7C-F3&X>PT_*pv~4ID-l
z)!Wc|S1AR9;k9>Rr2dihNRJ6i5#(Kx*jIc|>RCxQV^J=V=Wq2c$O2`xpi^9WmqGBd
zvgDnJM_HziI$dmfo4{WXB^6z6YzmL&d(Y;7q4p571<}6ii8&d;_4G(>ciCIjH=ly)
zmBQC}{$A&T5d6_qJT~Gpgu*jdvX#A3ElMfRaQwdPlC2o%D~Ig>S(zC1QiB|7plQF`
zQ;%$)ufu`!plG$1qVeLlfT-*rN!H_aPBr5E`?|L&I)gm?{*cfqna0g4-35}-_2MAG
z{tT7wtB|V=d4t)Xg<l>&{-5-Bz^AmJ@41zO@3jVbGYbu4V{D<skVk=KZ*D7TC}@q^
zEiSL@hEua0&z3jFH`WI~A|uHR+Mb}`EVgwpNVj5rc<N%LN7|TstM$@=J&k{*M1p<n
z*P{kag-QswdY}7FzKl6pX>CG*ch%lCGC5_rs3_B^er;e2(eNpseZ+O#5OTg?B979u
zh~6AqE`*FyBT_u{e_9Ve@##Ud43|92m!I8!dO17Mc`IzCYepa(=plop`BoMES=@T~
zRatDu=4BEtm?Dl29@jp5B)F|DCz5zc3}4?2Oaa*k#$NPnPlP4RzFfkTP{pMyp=iS}
z`)^J5$|yT}o{6Zfx3HpuMK_1T7MMu6Dcv}HG(Wv;o3E>=XnxeWrP-qB9-=R9e6R#`
zPS*+~A~0y`<YeFEwFh;TwULQLdMur?5M^Z=a#|F1z27*M)qrOyCYALSkVOTob&x&i
z?Ol6L5gw+Wd2@Q;Y$|zt@!T{uPNB8ML<OS2zh1p;?Um8xZ87F_Z<h6P;&sVLy*|Ak
zK{^sHlI6$X^%<K|jZM|ipb2+Mk=vMUz@l|kWF*!d?O)lL0UPt=-47f+v~tB9v(>Mm
z_a}p^A2YW0$Zf*u$50lcqN4ADSfAINeD&}J&v{vyP*eV3+Hb}pAy~Jpn>f~*8`#FQ
z|Cl5SD)RN3xCTa%VnhLh;O0Fbu%8M;N6I$DJ6$rG>a-mHJJLL=`kEr%8zIcwib{#i
zO04|lFW`JKUnP9CZG6oIw=<Z%PwV`#*EZCGZN@F_!=4XXTmKIK`=~3EP)C_W`w%W-
zUikc3cJA;BR;q8V$%zZ1cA5+12ieT!V%+gdiK4fA%MFbNX0E>sPOWk*yIVVIXghsS
zP@qj^a<+#BZ4~<dX$@&+aNr$PNCnC28+!TYU)mnu7CM(awHOQz$MzU2I(=^>`;)b%
zwt})_Ynv5K(Vp-|Rg`kFpIMh9d&4r*uKH7qpYM9#PdX%bv(@=_)i`#>EoCTq3HuQ4
za2}S+-$ze4WU1MP3D|pN(WQa?34?Pgl~x)#eq{rr`EV`n@t+N7-={f4eg%hvRD^)g
z>!P;J8L;h(4tTaiAY(%k=UtsqRmLy!y~q4xgxc@!kHZ@Mm9XN|pTzY(##osKoK1+<
z<5W9o0y@QcEz>O2MM_z&f>K;!0RK3O78*73PH|ppJqH_VN4U2-7T(KT&b^6cp!y19
zMhvoht2M?+uG}WiV=d={0#vsO;j9qL$Q!?A+=)-#(J8!p6|DtpAsYF7>?OAYsNk=r
z?xrhD`y8c5Hfr3~>6?r1VtiHd1m|ENlUHSat%Ef8rKb@bPYM-`pWr?(TznhLtsxsL
z)zn~{R$4Q8-LwBrHLKBpl`zM}Gj{D383HculP@Yj?4lqRVbIA-b}hWvjmida!LU&c
zEo`Ua+Gar8U$Yg5@T3_5RdF}L<rX<@sr*C@<#v@5OV&Fptr1;=$g8?b^^hB5OH_Ac
z$8$ETXF#ushl3gYAB%Sql}5j9CJXN37vL30*phcy9D!1Dr(7qYhaSrC*z*2@8jP3-
z)(YQ8q+?kALd_(~rW8*?l`!tB{#Kj)iaE-g8|EG#4&1dGKPu0Dy<+q$A|-+<+lw4q
z>EKGpl?$75CI$q2EjQ9wnV1gz)tD5XUVZ(o47DqRV!tO1oA62hJ~`MX;m)70zDNo#
z%)b^eN|#a@3n&*%<W;u$jH0R4(h33$3^TrMR|XjeYe}P~Gy;dXW!-Wn7v%5Ok(&P$
z5*Z|mk}I{gG{;Nh%U*kU`riGK=A1^-7*!+mXQ?~ql1G-{DVvu3NIXfWF;hZI+a~ma
zy^QTo89?pBs{5TZlx<t^=c3;y+_`Pyk$m&{Jyy2kC%7K7cyfNqjC~Yy;~g~CM8U_$
zq@%39PB}j<lwV```pD!`gXvl0KZ8L|1JHM^hQ<i}s<npffsTh*Ho=o$Km6ITp32uR
z+wMYpV?83c%`KSNVb>Wc%?sa``{La~<|vB%Z8H;+0<y&9zgTZ<4Cm+A)zq^wq?frq
zpY-4Bo(;;iQy?qfhgXz|8O9OgIOEl9O>O$V71?YUGobu^Z{zetZ#tO2@bq?PUl4!t
z5p*n?3vg6H#x09?2PSiUI^L8{t(|_f+fX-@y{EwNJ$U6{N^~HYiw-PT4*9W7EOnMO
zzU>Z5Wb(rt^9B&Lf8`$JHcTbwUXUoD3CSjGXKD@EM4dCvSX#38_B%+L7(VZyp#0D)
zHbPrJ5(9+i4cnrwdfZ+Rzgm1aH?rv)=?&SE$k}eB<D7BZ>GCA^BR6=t@L~a>Mb%dJ
zO>04{=C?gn=ju}2C2hP$aTv!G=2lkL!7|DkFWrv0K3-kJkPmEH*7H_V-fqL&5IE4L
z8D5FEml?WO#_|&@^P&7Ozl1eOgOTDXchwqW#>}}yf!-*yt(?cRZY>Y3vAQa23hjkD
zRdiSBZAT4Ta=L)CSn8GSjzQmQ)jyWz{mp$XLwBIRL~N@&bse8g?`$co$4!{2DrjxZ
zO$My>`aQ6dYUT6rdpO%r;|zqRbdUG8>nf^U5+xZ=*|NUinQ#}?s{~3i&xn5dbX`s3
zmOR_rrPH^sxm4OwgUjxXa%ZUrt$z#=1@DY?<g?NJ?%2T8Ti;wcc+>UPL-Q<K`c2TS
z%B2D3`&qAz_Mp{Z{@Nk)1gM9>_6{|{o;3D2y}vfz0B^AJ8bwNYVO!!hrVM{)cFouK
ztz7~kHk<wlun>zy(f#pBJ+H;ZJ{G(aJ{F_U>vEej?$KoxJs^hUHaR;MM4C!HA^Z{8
zZUh)W*?@l$4SG%Gk1P);A!fWq#XQ+-Y=gNTBD_ww;p)N@{(SFxZ8#HRQ9eBUo)*-6
znBVTGo0>iYZ0V>hpoO?R?sl8{T(?TY*ftkfjr%VjtY2}eP86_IKMT3xI97XNqA|mf
zNOBMLt=JM!Rp+)#NOaV6m8;q6)(Cc#eWMySi#7@^=+>x>(LOb>AjlibNMHsRgej`0
z1Xt?bpoY#-=@ZDy4CI4l8(7%qDS_qIXP71uY9+UWSJnk%R?rU1q<oJl);jDcc=KXd
zgFGhpP;yZAy44%&eU<Z(zFqIP4+c5LarrXKL5kklr?=1HR;D&IE02$^p<*9+*F(ku
zH;WFpTl+&TRQCQY?sp+~2|mp40~>lHw&oJtMt&CS!}c@ClW_$$yPhZe?Sw<2w)~jU
z$?bN&hseKG<V{BjZCbs+d*_wpn!8JD<Y$iB$Rjstv+p<TrB^H8>Ty;GA2T)<2Hg0|
zvaN!$o(6Y6q+RS)OXtCZH>pprTragjOCrp^PVynQPM!n{4h0yfX@@@}r}D><9=ewn
z^KgwwnR1M+{+>FwTnh&(k7c`>@)e<0q<oXY2-Y32OiuH_l0%NGt#78JZ0S5YMq^sW
zHCE8yQLN;=90dp}$TYnnR!#U>UMD1InN?oHxdQ!Y6iiIyzXgJn^gt(1;_bUK-c@)<
zmjVd^pmIz-4JdB|odeS#I;|>4pBwn&m;7r&pUEkZw*#94OiHqOys{d6DpH>k3zmUm
zJXb-oYg?m6c6Hkz5!G4~(_gxdF&gYiPN;Qi6fbWkeC#&j`n+&IIJkI5#e8g1VODyj
zVyacD=BIb-ra%*5Ct0~gy!<khNYly{pbsCEJFHq2u0x)ZQ1mh93?$d&A+}rOcB{o`
zp0-N9)bh%J$xWk0UA2`@7z>ZK(JXKwGG&-gIY&{G=ME&bTJ^-7k<IeTRy%(kGj!~d
zD{%?v2*%g!Pj;s{P)h3qT8Oi_5jUKu2XoXzscb{QoNQY)X3ZNzbczTOpWte!(D2~B
zF)PUjud4THH#|JBCAx$*_%tU~jiq`b5?ho){2W6nB)|cj^4}d5wpz2|_63mnktqbM
zaZ|h^fBArZKw@*)kUpc}VbGyqr^G%7FuP7NK}Fck4s`5doSxFH7l6Eh&fNQMa*7ia
z&sxRjDy$+2WSd@HFZoj6dY~<|Bb!I|#^3EO5vb-3vsE}gQvW5xt=jCC{#!P%qHG~}
zpgkTc@9r~6d(yyhFB{<>xH9XaT`N}2Uc!1uXw)aex>nn+-+PSWThaUiT4#nldpT66
z4It}{n3U5d+*}NGejp9RbwVEXhO_4Lj|71HT-8nHsgBpUK%9UL2_%F6Yig;-(nBD%
zTy;av^zm7q;uaVPr5|M1@K*{RJ(ON0_z)cq9`Y;oG7jyurF-snL}VTXB&NSB*Y#Gt
zgXSuToR?=b&AZW%h9&7i>W3b6v{2de0^&L1OT<J;e>l;tqn5f-h2PF75Gbw<8)KAM
zQR^ACf0e3p1~PRsWm_`XQy*JbC#!$EAqn5f>9H+J{*jU7U~^VIDu<!AQAZ10Upkwq
z6X{Qf<7*IF6XBE19wAYvohNSV%YV?yYwGzrXY8^&Ge+d^=lkaxtb;Wjl%00;A>!I;
zMLjKMijKtUt0ar$r9gw%CB*cpOlt+^1ZkIhN^9!zT`#Quu9(5-A$r=UGkI^2+_px^
zo{fb*f>v|^#b;Dq)!CJ1by)}OZkAHURz$hT_N3+s*o!Umtu>R|^_Av#w{$G?>3PaD
z&%f;_H!&y}WV|*<zm9Lz7<9%}g@f~PG_b&@*e<Xh1IBLO>x&<|GtIH>7dY{touAqn
zru3*Xw{~&@rJV}#(-8P5R*dwFad$5h@Z=Of&LTGSsJ@sM_i)A)HvuBR?@*JP&|0lh
z8h_a1qG3FKQ(E{z8=PY;(B=r0*OiJfHG!&t>`iGv8}4s<AU&SV?>)v)LVcm3`%gVU
zxIxT@5_#{Y)XUMve80pm>3Nfs-hKid`;Y#|;sN@9Gx436A-3qcJB+u!Pgl4<yx9I}
zEBIMxnjCfI#@)q1qltCt(Gc#Usjh;;_(9TUD6_P-DaI~HCx4WOH?*!l?=3uMU*11?
zHp;Y|sOZP)zsC$F<us_Yq{Il?-jln1wFa7FXj-9la@6hPQA`>-aPQ4mk+R?sDOtOn
zm+u$D!TeD|E_n@n>rymWz6`23{i(y^4XFm{7pvWQ)GhFS&|zD|vWLX+Pb9~AmHDtY
z2BX9doKD)<_pa@yqoQAy8R|jmB`O?IhUVagxRD<vCt5PbhedJlFuy=xM&)vVuJx9E
zgN^O|%A%FmJ=x~%Z~DH|-;<nHq$;_~PfgJRt{U_p73q6j9g@`~C3|w`-9}eMRixqo
zGqSgTKJQ|)O^J56EkSU3WQB(P>*rVhEA*ANn_c+Cmcw~vlDZ{<e+rE5(Ue?9JjniT
zGkHDk)H7%Ag#nebZvh5~KK7}HT||hh%EVOswGvYbt$EQ8>K@h<t|`8z@_RL(J`kC}
zYS%#Oo|*Z)yk(^9t*99qs|5D7QoLYw`}rr(&2d*ezpane$ZTUqkT9jiUOd}tVB&TC
z$}HyNnYRw7+7%$?))x%=CRgT!Ik)d+&`a(pg8RlCEhQ#~L;(7>*}vcd4@G2X_!kQU
zfhExK7rt5{ULtxitnW$0o-Q-&#U5b*0RUD2-4_S0=LnNrV_3W)XUMj`znS-TK}Pmc
zGXAs1v>Ml>l(w9|#D~>fo`cm;zf0Mj%LKe>xk*gU5B<67m4cRRhpz@e?sV=ex`FL`
zG8mc<7Mu<q2;+bn+gy|{Fb6wb`U~0elF+sQtIu(_n$w?nX*{$BqPqI47r)JLAggw?
zzj>8#eo-HW{8$mSa9q`F*CcFhZ!b)y#VkVd{!C6UI^>?7T>!^yNP8I#KAV*`G_Bd4
zvn&7LufC_PsUc^1-kCJ`6Dl)vhi6(YFF-cK7+-OdTtR8}`Mx^fqUn&iy7@pguX^(@
zg&rl;n&*p&W+JbDn;W~7S1lKsCN4ShqZ4X#bcd=O0Ha))30QA>H>j9P&Da;qwQjVh
z7qfU&Xi;j`+X{GsA64~b2V-6%O@@MYe7F93qanBGF~~1;-b-q*fDc<}YFhDE$R}EN
zeuOW<Gv!&Y#=W@5IlPsMY$uI<fpuni>?2AQdC(x99D+r%FZF+{Y)R}=bc9%}s8pS-
z)%m`T^o)eO0l1qgYTnLnbh+lo-g3z@L^{`k(cx+H;JF@4^kwfqZG5#P?Ge8h5WAH0
zNs@U%g&9!eCxodo{3xk3Ybb5~GJ(D%`=I;UoM(}@yNMs{6OLbUQDYCl2V)T`9#qHL
zI9y+C@$lRKwi0p9x6PBmRU(pU!jF^reYlE&{pg@*;1^VE2ABtLJw3>N8oH+HZqt1p
zE`@e&`3_$;k2Jp8T6f-}I?&hHpqID@-F}C*YQ0fF2UsHpRYb`dIVh(J=(c?s7Qfi*
zvn=_l8t%VsjS%6sizu{-Tv@rVpVLx9%goK{4LCDt=M(JP8QW<+pO*Kxc@h@X(iZkx
zX9ygD<3Af(e3E-v_4`ncCF(x9PCY|gdP9R8r8|{C3)qV-{Y(lkjO=_EWLdm5X{zq=
zl1i93)1VK}nA^JX>2KhgX0vAg_~niQo(5I>Ux-b7CaNL-+<0&`+$U+MEx37H^fToi
zPFV|DP_YHB{`n|*Ij$XVDEIn8m`6^%azOKE9|U3H==mQZ82FH_eg5tPMdnhW(|NP6
z&C)PV^L4|G138x&HJJa44CnN(P)894I)BA)#%lIMt4>n=D}yR(Xd5lh!f=Cqb!lJw
zysB%c$GBkshgT!}vXAdc`xfiJa{h0Lk9{JWWCxm;L6L)6`+_s(g7X`20p8lhvjMh7
z79Hk=BP8?b1xsl-;>@hl-QlsJd4?9V{k>oL%je~}viVhZ=&=DawO3pqmJdBdx{V>x
ziZC>leU5z5uDEy-=uc5+3k?_x>Z!RE#J83Kdm+<R!zMO<-Aqe*;9D1%v59sd2!o7I
zrGEQr(P+0#r1sqZ@0mdJtXku^*L*oP=ehZXqm57h?<DXB@B>@wX_26;uo?G%Amo$&
z<`@0XezrKNRe0p~=F^x<JKwu=wJqOP4KKrnYh9;As>O;_<i^FYA{~2!&}{qGwX!ky
z$YJrW<_(2Fphn+mXA7^+d`9V#8ToQEW^PK|TV~znK0a?FqtE~4GJbq-`rs=m;LoAd
z+9q_S&DJCH@Lbc;aCX`htpAgrVC-U)?V?{Ovc>Y++ED=chfYKMIg(ZHL{$IWaTq$5
z5W3&Mt6Laxc1i&TxxYpBFjTyfQ~ReusK(77yez~oGbaBCDd>E#9lU^!YlJjtC}^A1
z_xftmOEHLtKbX3=Lpylz4&W&r__m$;n<9L_Sj73E@1(Q!YpcIEOkhz(-A$i0Bb{+}
z<{gr%7r;`8%wk!^@BctaTU&-5g<h0hou}WbxKLvBg`=9{na+DNIjV`+oblSfx!>y-
ze~}+Ui8G}>1x=~0p^l^0z3s=nY`j)68aDbDKOff{2T}!Mw@qKgUCGs$wOFrh4{z|u
z{R%N@I9cngTH!;mh#$G4aaVM)^_4qgcX~#kHtW6h^m<ypu=~c|*|o}v&wifSjuxmR
zwR^^Z+1DsEY{ltoZVq)AUA9`x%#o?UAAbNZuI+Oh8}Z|d^?8O`x$s0(COZ0uaJay;
zb2bp5c6|s)JDp5}#9trJ;@h^O_5iIvfS2CMCq69nrHo^@KK}nU)c;Ph=)VWd%m=S$
zyqM-kbIz`{-=)6UNT|(eIp>x8Ho6PWIttpB?$LWy#cssds!uA^JhZzj(p(w#Byo)N
z_7G2g+7js**Gp7CtPD1=9u!He3%(y<{$~24kVd|(ovp^}>Oe-ba!cBs!3d9DcYPhp
zpmB>0&4R!3e}~zr(oFUGqY|O0;vyaQy<CY8yUG4G9Re#i{hrORuj?9C8)Pcke(Fe#
zLWSie^Qc*e5tm4PT9$XyDEFyHu?n#~O{+O_jblX}S+JC|gp!s3+};>^QDvd3L8}QD
zYy7l;1kO^{PVvKaUz%S1<FDy{Rd~%Lmpb-q*a`NMZAR-WX=CH*d86TSN>AIeP9y6z
z@i+bic*3Bl&$Y>^4^JH{o)#E@A(A2+P7_U$Pg^R>5~ygHGOf5gxTz&XFE7UrIq|E+
zqz^^9=<7wOtnZJ_tP%Y9E1%i+4@8?#QF%&>vxzpYJpJRpr5B#aG(k_o5SS?sTF9V|
zKY7+MeKow8{!n}DeG5<1Chz^(s)n?-AgtyqS;LgZyg$f&p#n$K#?-MbL5qUre5HWv
zgI4U4>&qw30Cpk&dSv?p3!T+XI?22kXJE?*?RvH*Yth%w$$=d$Mv$v78~u1>%=+@9
z7U+7L+M@ZWKh)u;FbL$8F&%KTruZL7rwYu+4X`QjV$0zAA$UjcE%2xCf5*V<f2Jjo
zt%jP@f$^vwkz909eUG?l9sj|M!keTtxGX+bWk-4-Z!b%bgt}X>dWT-(@o6=BY9&Jp
zpfHl;ZmX&!ob6y~*_%<6u;OdwZOL!48Q?a3mtk)HJxt|J(0)~GM#D94%&S}pp(RI_
zLc@hI((#_OrpsHJ0@!B}7@xs~e;|xoTMgs<03PymV;Pp2u2w;NGFP@na__%ox~frL
zvbNQm{ov$Q!ZM_E43egGrwb8K$XC!sWk}M@^9F41hz7sj+gDd+_(KBNAba7}%T$MI
z%G<6Wt6Tlss=L}JI}5vVE#D>V{)tEw)t<V7h<d}c2=r;@ZK@$}UCT`xnosn;g?reb
zQDQJ0LE&5X^it-r;ojKM-gvoGSy_yiu6(oz?Rieb%Rq~k-A0^p1#$ft{RzxNvO{aT
zOQVy@chqcw>CT1Y4vRVO%RE`n==F$lZ~^ffD_ikoa(d7Rg$1D)9Q<dfwILr9=C{&V
zSPsegK2tXR2%>fLZs72O6OXDMzFI0M)KaceyTj2SGRkl<il^L>0~|3ue#u#kH5zm|
zSXO7XYh`pfJy){0F`+QtUv$a`?kX~FnPMJsY920<`>2u%dUV`L>IBPiOSaIWPF2~l
z;hP}PS$UbjXL9Drsy5K~(f`pK#4UdNIp^gI!hpf>zhmG{!Hk2|_>oE@YGa=jEo9wR
z#n<*K(lf_EsjT|pSDs~I{Rg>hP|3tJjRykd91gR7Us^K|Cg?*kYww0h(||@D_c<1i
z#H^9)u;Vt+OjxW|>veCV`rM=7{f>ygIg+bDAo<ld8Jm(9!)5oGV*fz*xdYt_l(O7V
zf0!zT%46xYUjso^l`B&{5irMl2Mr~k4^tfPgikf*FdjZQgyh*k3H0*VvGKX5zsdf_
zO4W^xx3}$rY`Y7eh0y|OF0lpm`%*}Lu?NAmDA}Uw?9WJS$Q6~&D~b<1yIImKfN*&K
znAYlA-Becu*c-)DI5P8irK)YSX2C+uF1cMTm=<527!nhdx0$)ryM1?%b+SLHnupx2
z9u~8vkoBy;Z>`FszHvP8ibT%GYNdz9?0hMy=3$OM`38z$k8~QIhSrAJ=vUjjtrpvc
zhjLF!=*(SQvp+M!#;XQ&2;u~>PKeDoN}xP+ZTUtv_aYpeP5u5bg_7k*RtG5?pW73D
zfTzRciWZgshO~sgv{%<+E`Gx4v}CQQZ7i9)OL>p7M;Uf<*8-KVO{y;JEYG<>r~Z8d
zsc?c=0C)8`D+};*oCU;k;ur`xI&p#PB=<GWiz4#EJl7R&iJs!Usi>rPTkPH?Wqt8G
z|0Y4Ffoe72+5>^^AM4qq`nijmvuU~o(rZ3rxrD<LSIgxFB7{1HI!nOFsHln1?I<V;
zVZ>m)q7CJ`*w1wBX%C`)-L&Y<C8Twt+FJflhw0b>+~NUJ!>wH$j57bb0xR^i^HM}6
z1Yv;=B+~Q|yGt>DcRMq>x;F#YaG1~SP)>B`54x!dIZa`zo+8!_LsO4xIy;OV37Po9
zFS8R*9qxg_$eZOS4#k5y&B0)Co-QAfNlerw^PSav1ZmAnmz=h1VY&v~;}C^_(&P~o
z06dOz>3vb=Xr}5Co&K8`asZ)3wzzFmXQNI99$lIg!~N8lbhrE&fmv&l!&>e}Fuhb`
zdNV0Iw8HL^RtYnF_My-rA7k~%s+{3E_Z+Dxjxe&{Jj!9XmCm_#wwGUGOcLEXC8)hK
z5zGj*&+jPX17-tS1j6{8jqPYx$v%icgOM~%;DZV&5VQQutQ{P^^e959-xQWiD;=bF
z`<Qe+HK(pNp(TWvaD~a^7Dx-=I)v#v_w5K&phe@t+I#4ksIU9>_Kc$g)sjP6W|~6O
zl^l!y1Tw*BfriiRr;+o$5G0yzx{kI0iN>~RVSm5}SKJ^)wwO~lfIbX=se>y6*!-y5
z)I!P{B2gVdfdO-76hj$7rEAo=$eMmw9yT!*ta-W?;z+zWo06?M<)vD}Z2Unt$zl|4
zQmRER0?$c;Md3<Uu{i2%Qod?wtJ8Cwz!AU2Tq63}Q6msTJ`hrfGIX3`HrBSiJNgI0
zm6fj1cXEJH73PfyY5G`<TDco=s;sP=l8b_vQ>l<{p3;85{DV+K``a`U@*gPb^&y`o
z+{dIaRl=NVmP;{Bc<Nw-Z9}7(UJ=YS)rwvHfq$S_M()?vHOeHVoU&YoR+M8SA>pb&
zdPiE^H=A|KiL?Je=OC6p|CTfOv^Ee}T3QD=vt0=rqp@#KT8lEv_lgkTXHZJO&*n;w
zIP&4TsCFoV&>no$acP@6hxn=PC6C$g3@<mE&4ux{3#B2A|A9_-+y`UmUNhvsyBY|c
zH;jSVH+0~8>|hHC6VJ@@+m&#eN9{_5zg_93rU~=dqomGe)jC=8(%Bq~*_0uA!c&Xh
zOniPD`<lYVPuLg|rfjE)8NBlkG$&Nf_>Ju)kG$KrM?jxBn&e;Di{hBIo%`8ojzo}5
zO-)E(9|{r%jX<jYJfstHO-*u5<~9R+57pMDpE0A%8aoXS1jaHCA*9I8S#0CaOp?k>
zl*i6$6O*PuDY~Jb8iApup=lAQ{j2p1(Sb%<sbel!7MAPiH4$Y_JwpF2HECDMC)LBn
z_m$X4a%-_Z33El_%)o`-=S>ou@z^gNq!#x;TDy>HHCL2wEOC~kdet1R8-pvQwF|6j
zrA4$dJ4+Op7Dvgu2-7hCKeRG5_y}S)3r&6T_z%YLywUFgx@Uxtq7NyB^a3vH154^X
z%48fBPAEu_>X2SuI$4vha|KvjJ#(8Fy#15ber*$*pN6alnCI9gq2V9s^C7YUxqHyK
z5ShF~XI}lBb#b8Z_Z+HS2r-s+=%sPgCbuzmXs23IZboY>Mz9gYU4b>v)&L-hI7@D4
zH|;Ko*w_rQ+?n&k^^cK|s;IO^RGTU>a3J^Sqycr#(YJ}F;d%tf$ZCE&-=X6eaO0B<
zB5|%nV*kJqxFHTZ2kZ3e@=^?ylZF*i7{fG-ky$@}`iP99bsFtk04qAH?GOPWIi_J~
zQFj(LiBHXUy?h7<C^*2*=G1>6$COO+;nm-B3!R1t3!nqel{f!Dr*;OZLwW5&?R)^|
zDdFQu$kwB9+mrUhkjcqe0<w`9*h|?iJ?b=>8_D&0p1HkSkFYhv4t2h%rA+QK5LmiT
zBySqZ5taks0TW`m7@;bJp}lPt*#v|`s2p;jTZXZ{YP8Q_GMJ8DnTLGjLlqni*XfAz
z*sVWmhkQ9Y45G?)+A#JV=SUkv2Z!amD5m{f`P`4AC?RoI+M!A(nz;s#KqF~Bgv`u#
zW$LeNG70q?-$<Q(v+D!!rQ>G3D=jVZJgwApO_M&7I7C9$2V3NhbzTDGOE;$TGlc<Y
z3!x|zfOE>Xv1`<$76vh>tPEp`LZIc=Na6;6SNdVeixG02U8G2R2obIsd6rgo$lM^L
zWi1UA{w4;StryZ%=jTjfCRAns-9w7xQ!Qu60AEn7f2^aUoev)6=r@<Bn{}Xzx7?$X
z5-0~}S7wv&*}C&X02Dcv;jqKI5fY3LbLwmhLu~OMi1$E%keRO#*qhHqjQSLH4wf{4
zqqmET9U=%Mi342}!`;DFNWzlQ3tS3stj(OVI707wAt-<p;&wZ$ku(4gBhWNOjVMEg
z8+H)KD5Sh8pQ}BPV9ZtP#=;^5ep9M3w9c!g!#MmwFun~f#|AJ-S!cHeolc5OULa&Y
z1(Ygg`%vR34e4*@`wIUL^qNdUu2IAevWS6mugQl|C?;j0lieh9=I!2p{1cgUl#;FC
zhUq=(EN38eb8F#vd$aum7LBNHj;0$F*qhx(%63`1Tq7gU{Aae$NQ5JS)arEz=-1sj
z48yDm4F>!Cp_CxuaFxy<2n$$E?%LE)mJk{cUP5M?#w>}6=q?Ae;e_t|;BIFTcozW$
zgRcq6Y8)ujaX2(nUDh<RlLY7+Mevb~<8O_{MG{hXbMmR{*B=nem7^TDg(Gdu8p0<s
zi5`^;F5VnEupxz-W$VtBa7CGeB^-&9`{sXly%Z%5@^eX<Q}j(D(Uq3<7o!t{9l&Oj
z4{9}U9YnB2IVMK5AU;oc0X(omOGEwH?fkLcNW<Zl|3kp6N#fDrGp5fb!scKm3ifh^
zMv~YTorAq$+$bEbX6j~i`M{D_0EN|g>f!)4mtwNh45%<lxm-Vl5fLeyOM*Zs3x`Mc
zlkN<+Lnb^b@(so)iX;DE!>5p^9RL^rX%+UP&eD6yJF|tRo{kj9l-xgy)T0PMW;1V3
zI{KJ;6@Di*Vs>b0hv-^UuXX|Y#z?sMA6n-w-$BDBAc3xHfSA8jEx~8DtK@f{MX!1J
zkYJsW1;Izji)x*y!(e=NCgbJWL1#=mxK{Ty$qVskl6<I(Ye$|>r^9k4gDFL-&zVtQ
zHwYswVmrBnzW}DRGT>l2+@WfwJ86RidqXS3d_J1%mqX3{0F)#Jb*R%W<g@jwk=AKW
zCjk15Op?RSTFG6>W%zsCzjIBbTv|f*G}{}1u^C4*4160?A<CQyXV<(!ChbACcB5SP
z^*c)k7xsfXyO{{1ZRh{cH?Vh#&@s2Ba0EPB>1+)>vMozaE9;4!_FK1&<8U<%7dYE4
zBdWI}lT=S6hHM9K6QkHNM-G{5+0F3Nt*F<w&_s>|b-oK9u2C>qFe~wct78*h2*-Fi
zj3L6vEc?={!IhqPf5(wS-5<S&SAjxT-I7|JnnFTay}DY(=jlfi{%(tK4L96jl;v*P
zH4EGy1lx@6NImd~CfQ!PKaNtc*{XAu3Rf|h&-v`NUif|=&$qAMNxlD+6t*C6RD7(4
zRq@XCr#Ev=o8G7CR_tvb0dO^!d$^{%fC2B&I)Eug$j<V<2Px0rad?(=C%kJm+~30V
zB>qM;GC}}l9}+1`cYN6@5g}__Mts+=@b{E7h1T;@;1%sBKDY%|`tt4fqr7TsuaoU2
zZiZa8;Lh@G0B<_-0flkE7YdpDjcqL56iFrZ<4y~`C?S0_=Q(}dZ#*$KQGO@h{DC@8
zUf7F`i{e~$80;+Xp*k2tLl6$5ip59M8suk4?Y%-gFAQAs&z7^iJ{p<if_T7-EO+66
zB1w&uJ;G4uqN4F6m8>c8D{y60e8}lMS#DL?yVofgh9o%+gDZzvHU>{gK!^xwW|Rnk
zasB)5mSuI$e|i!9ji_dz>D^U+i%G^@d5Y!E%P(^o?dm;!ST2i&q|_1T^HHVnbJr6z
zT)5E5G1-ZKYx=Rr|6~>+W=y!AB{(-EUr3tyc|TWU5@A_}rJKU|091!SAVKY_U|>LX
zB>xshjtYYSDw&al{ZJDOI|Dy9NsLNRS+A@tKX&!=A;49nf1tNj`mb4drd<ELEPm<L
z)ip5(tM%<29@-Ppxe-??`H_oK9#cw2?>~J8O!?q&4LG(!>-y4G_Q11z-QaD7`kC9X
zt0VacpESj_2ozj|c_5@%F4igFp})q>vzrb0it*YXC`}%g*EJT)ZWqDcq5coIKuEtf
zIzs*xjGGIbwq++4W!(UGvdg-rqaCFt7D!XMLV`v=M)I`FOKs`2KW^-|zey+3IiFI@
zo&553$h910E6KKYeISs5L3IhSvv^LKe|lVfAJM%Z*Jzt=%$?J%I&TYlUu#S3tlbL8
z^C!#oaz&Ii`mCDocM2;GhE2E<e~`znK8)Ut@=?&(JZ%e24Cd9T*jC<HR2KOgi>Gb3
z^be-jqq5p>DTU2r@rPnbFmZM(;-KwMiH=z<RFau;U(@`V&?7blHRbM&(AXr|2Nw%N
zB60HXr0KqszoWkvc@zf1U#dG4B{{gU=sp8xW?=p$?m&h!U<b1Zu;j<MOjjP%O$>hN
z!Q39p+o!~Lz=XUBCr*Vs`fW1uo%X-2re0SsBw9@F$&1nb9esM~Y1W-<Uy(kBv<GaV
z280v3DVSHeXH8*~8xkm)+Io+&e?Nn!`+YL27cwH!<hSb}i=*)Vgy`M<KZ_Zeo)@RA
z44qYy<lQ@q?Zf9>IVM@mQ`;LcymDbOJQZw=Wm@C*?46d`+b#Q}L1@=_oPxpZZn(U2
zv9l-AbpBV;<ebx*--%}!MtesodJE}>QcXLcwV~<C>@mCPtj*kWL$u<gjok>lHs5S%
zi;&3!NUY-uCywK9y|hxQH7BzmW9!xjcpXVnoT|nXZ9H>TOkzq|G>Fm7wC}e<Y|c{&
z$4vX{8PZ}=<$8WvB;>n}FBQ%z8Jbpf&b9cvf5Eiroif*#@|m~k%f;y&rTiI2Y8Tp#
zwz&S(ZJ}FQ(?t{9cya6vXvUE~W@DOb)>tFTPpNI#wxfjDqrME^18+zAb<0fqbyBI@
zn!OlkM8eG*MEqRhX6{6<QfrarYC(^QpKP>^_z6kgA|4Kh!V%<BhMF7P9wQmQ4S6pO
zB#FLH1!u5zap4HFEidT5aqrt`NU~-~Z^-fYNP?3@z3>R!jHd&NNR=y2$1UKJThXwa
zcth*Gt?A3lCi`>p>uKN4^tpO{ucf|7yeIO{^vT=Ny?5cAKc@W|wx8tjkk^E4u`78l
z1o;O|WzExgLnE`tB5x|(JP(%Btv0^XFQo`~ByA@xFSbSDa`cpThwqk=l6QAZ-fT;y
zUz1H*X`{wdqwj8G*hCJ|cf_<MBQq72aLrJD?PKiE6q<XN`;u?u@A6Exqb@J@qmzrn
zCjA|gGBQr-)3PVxHYItF)56l?oeMchj^hSC&9^kg=gAo9l(r)T_r=%h0LiUIA`T>n
z!xOFYS*&}+pq<TP@WCBYm7tWRc~G%yy6nMYXpN>E)mNm3e(2765%Pi~l@J>{RhZRm
zJ-Oczf(i}GOMI4hr=qzOm5K=@ZYqqf$V;0h_2cQZ%<uR&t1am>E&23s3rO_Q*?r6S
zZAPLlDj7UC{V~79eIzG!PK;RWb-bIA`%@#b@Kuf*(b|r^7nM?|Fsl&6^8Sqs(N7c8
zwcBxT>DKq@#dP&P%upLyEBQz<>TaYv2L($O%<%>xKfa<q_P%}z>w5`F^qb1JV?!Q=
z&q=(ZbR^>MW0HM3$G^?|di^O$#Sv}kQh8pzCW(nN?c3z1lY~;paYt?=cSG@Kk=%Kb
zX&hpT$%D;ptS7PCHZdZaPDl^LZ?(Ts`ua>;PU)X(eiQw_pH2AncG`anYx{TnnLn%j
z3J2nSx1J{d037F$jz{vM@Z<IA&rcn%GBZgTj{^R_*A=w?08xi(5jW+%t?2=$K2NpH
z9I2P|WVg50l%=!jiX&z37V8~3YuCbLBnkBIFEr(}EX=IM8OM{Q!hd+s*FUrol#f>n
z+-B*~bloy4PM1^Q<*c^Epmt;jw{+i9zn6b6w_74s<<okwZE#xBCs?{qYIm`q6G60A
z#1wE(Gc_22`%yBMtVXS4^qN^~6>Nub#P)%<_G9-oaCn|qGWjuzC%3Y$dyEW|%7#`I
z1nlK4VZB=2V#iyaO|Pfv*oWFj3@)OI9wD$_{WpZ-#v=S$&LXX-vJm#|SMc>uZM5Hu
zw%5|)%U+GWCtSTYzrVnP_N@N^-T248QPq+~TM;v;u>$cN1raybE)R^4y>l&-ImVS&
zntq|H>}%YDNh^*klvw5{3QLi&-Mgzls#r0eLa_5(7OW-AbhMrHs8%ae!2?GQdpbDi
z%5u9lClbz6oOGj;s0Ky)xR_7-RxMrTQ5zV|ClKONn^reo&PQUXakm#_PVUgf5vvuz
z8o$CuE=j!~>cgo1b5ez)4LXv4h#R_lVgOU^O#I%}b|IR(jJ>x;+!SriOXMBgS<6mk
z$y5h2b*?1d7MA@PKi2fOw$_J_hkqMP=)A9`zeas}eXc3}4L8#IUw@OjZzWnj>b*>R
z20R@Bc^?UZ-4i-yOf2UVx_eshdN-q|FWME&5%^+Ump>$EkIYV;(Kh`Hd|EE_y)#AN
zibxt&!MGg_*^Truw$pr2lRCJ32K%zG&BM#8lzWc_afw3g?X}GTr}?&b6UZTFWfYuG
z!?8M%{CXL22@7T*=Kk2U=m%^}>uHCX<KY@`Hl2ftIZA0N*9zk0;X2-wfyr2ji4gYA
zkIp9kTk%?M+RB?q^rCwbye|p@bt^k3VkV2h)qXA2c(AohhtmRo;<>x3LALr~lTJKb
zb)-$SC-BS5&mkM|DspVSTkwCOPQRxm-UdfzCGVjZ{ZKYH0Mih<*PW(9o&GmNjQ;?R
z900CGTmhZ*^GVyEx88ikx1)C-WA%Ce08aMG#aP9$bOUzj$9fysZctkirzF=j)7*5=
z-jfs!7|T)p!GZT<;tk0^r%%n>v3B>frFPj`vx*qPYq_{UCeB!$vD6OKpP=^NDT|b*
zw*kO(o!o4nHC`kU@g`(Mjxi-IT_+AETNbW-o-yD$^m0=g#>d>e@vyOjxJwxc@gZp?
z9m`{Y;#=Jv(0<(Xi49kGwOdPziPK^ywGWs32%S<PiA|;nyf_kc%aZ#}pG)Jdt*3PU
zQ#yY~U&;AtI{I5qw7<6d{I;9Jle()O%0JqB_O}UneQCgeLF_Uc%r0|?gIyhjfM;Sp
z<5`PCzeY~AwqSnTY@8Ffj@n^P$;I8I@bG;jWb0dQnvOHEMhC9tW<A=-4RH6Q@zct)
zxo1WKg3wrxxWGAl-xHeQ%$&b&59JGS7|mDue<`18J)zjMaW$02ds*eK!k{KGCq|w0
zEc;g9Kp)E+5V?(b$yvt7%;-B2z~ZEch4Jw2V)D`bTAzx>N5T!S?bEtvXHv+_GEJmk
zH>Pec_K5pXjO1@@-*l`LB^9%kp^;h0_Q)+X!`%Jaq~JY6lJ?YH*Y$#b@$1bCI9;p`
zH%3=$48#_N&9rU(ST5BWpOu~Yq2%@B(V0J^rcU}qOrA}tZ7{sHo!?|hh0})9K9qMj
zD%UoLM81<hfp>M41{psOrA|)Ws?&3>?&{#}nn$k&cGFt7(rm*Z<(;O;Un82a+=`wn
zFFf-X-RiYLS;%6{Wriya1x_>8vN8=>x!JSIz3Fa0zwk>*mK(+1y0zPC@Rf-Nr!Ghp
zx<J^b=|*?0N7)Q-%~`NKa`H6NR@+A(Cn#G@_U_2rk}nH;R&~$$Jz>=U0N0;KZL13p
zIK^_tVhBt1n&i<uR+dl1eZM!G_Bv7~_U9jQS*|1jO_j<>@x<j)sY0#!a`+q1;yE_F
zINL4A4ft|gmnGxWojayZT3>Fr=fk<bgx`mizrno;ZP9I2cI7mY>fEmEN#AH>(vyjS
zHkWUd9sr(DWlBzQUGgF;UWA-U7s?lqYex6kHTcO#Fq)FcL_Xvl9q7U4Ad%wmx3pfI
zc`O|54ovshim^pwB;|7Fvl6Fs4?Gh435+l!JVBhEL5gS(K?IVkH3|TzJd5KCJ>eIt
zmIhH|BPNpIMlxr3JLe~z@pfdD^3ZaGVr_T}2d87+>=y!oh(hc9Tke#+Ua7G>urWD8
z%tu~16!h6fE(wJcjTp^0c3SPK-$;#1ZZT={k-84)gy$nIx+l`FBeT7Rjxe|HjHHMm
zw>Kh-Tx(hw<c4OI^xR=?GPr2!Olzs%_O_kYD{WS8Wj@Rg9eO~T>@z)cyE_#u^{T52
zo*aPX-&n$b-2Um;X7z7Je<SvtNg^}T)~hASKiaW0b~;_fMSw72!MnTQ2X}gW1{tAx
z<TCcvJC5o<n%9P9m;V62@cx_Px_;Mos+K`!%=HP#4ak>G$0Dg*V3OSb0OVBaYhex-
zJ?^cUjB(}jEj*Exc$GoNWZ}qxWA0UdHg^q)?E8lY<s=WvB>w<V%i5Q#EVY?>URFGd
z7a-b_UMfO!Qn@m=(Z^Qfk8-H&1Y2x6W_7ggq(u5@OU}?27X#%VEv>KacG?dT<-<%8
zKB;9Sto8E^VMANGvJiJ>r6}X8#gVUJ`L^A~l;Fm_qa$X7au+#CB%4l3C)%jYO2)hG
z>%Yfqen~f%f3r;Met)+6CR@`t;idh%vn{9k{=GlFxj#1q_C8XVBz_juadJ(e8(MP5
z{G*zv5|WE5Y+x4~;LqdHypgvQB+fT~k;5~=?ItG0*KlmR>PDw2#zJTdPIGXIw4BlH
zKcU(f8wsB8jf$aeJdIYzjxy(T3D}ovJwBOT;>u{EnlKQFWhUnIU6k^73L);PW8zhu
zxlcrzs6*V6I%5*V$=rK!Zlls@sm9&Oc=$Hbc0~SeMaVU$tt0ZQHl3_9w{e%+2Gd*@
z7jyAqXC&Vh6{7amGBU=o_hhpr%IxI${{SAs)39R;cPb1_;_RX|m9k_Q_}!_U(`Tn&
z-8{5TB9t`nS|||Y9L4XlY@15-K+Sb4{=$E(KAM-a+_tI7A=jvI*am5<TEsPbb?~sr
zv0XTIY-b;}hkqpueBPaYBJSyy{T+DpGSZm5{k|r+SFTd+H2Oz6D-11e@0l_@hE5ZN
zk@m{5=;O4|$NKN?!(=5K$Nm2RkJ_V^_CYUD$Z8uF?>*6$sMCN>tTKL^MD3Suhfn+3
zM}(F-*z7peJoV1qdKkkhx%y!Y81Hc%ob5N7kxnr}&h|=bUBDRL2CM%7OL0x<mnY?c
zovK-<XS)%}#Rftt4`ZqA05(e^Hl(pk4XTd-<ibNH+n1j1mvxh#)SGdXxfci2RrxrN
z0s8c1VfeN;9K^5Fd6aa%XGK(xwIzEc+6~&uU5??!8CZ&F7|NZj>%^O>q}*B3b&-*d
zyoJb}{Ov`(gp3i3e4Fy*xi7TLwwuD=m-FexcunOJWw&3_cGB8$PRYD8{{SEB*Os1A
z<l13UNG{SAlzMUvaA>%x$@`QW_Dztpas_Y9Ov~%j_@Z|@d|VV}#^);v3mw88v)<y<
zwVed9mBKuDLemGrkm(X8PxWAS*eqelZ7g*ICzC68s7g#=TXHmWXtIPOPL-bIHcz(G
zA8_jb068d|wmRcumA)3{h9+ryJ?a1hM#Rq+LR?Nb;-2(;D`zc@Y;{rFv+d+$Y_z|V
zTZ@d5KNF2s__mu!Rrd}POT>%hx8}6dHCDz=VL=>qntLqL){%-nPNkQEw=X1r#Gi@Y
zcX=oYwOOBYP>`ZeBf4{hmCCV#titt*l#HXSL>NfkICA$r)u|xhqlddBRsFntoC2&)
zYR?yvqj8SZLu_a?mDhhuHXZC?KvBs;w<l&{PvL#9rL_K69Vb${H`=Z|<%qb(<cdu$
zdsgM*Hf(ZDA_wtcn2tBmS(W(sbP`DtIUZO1cj-pIxt_OfxMkw^%>+K$9JNvyUNiSJ
zeiYr?muH#gCf)pS@ULSV9fa7(YpkUFn#jrCr624`Y+-~Xd5)OZy^Wq1uP2uD#Nz8-
z9Oe!1wlK2{^e+p|a`DrNW2{Xn<eqo}jWd>5>u?Cwktdb=kvU9y8(w>?xhH=O7_+-^
zLCB3WZ4)OgEPYqMX3bvEQteFFF%gr=5Z6)J?WwPE9-4us$XXWS)OPnvvjwVdM<y}7
zq&8=$tdo^D@#(c#nF~Cm%(S2J*QbU3E=y_GCCktsPF|l${IK{=`)}!KX>0Lz+CPeS
zPMw$2!z1&a-x!8L)K|Mt1@@Ks3#ds={8`h!(=BbN+8EsC8BcBoLeeKL!$MnZp!{**
z(?Ibw3Ta)=%W`Vk82insBus2bgSfq=n$Tedt%ck>!z@kOxX%0JiXb&_95at*I`!{N
zTZ`o@e$|N0iYqbcL07;tIb;4X=5eHDj)~zse7x3H$h3W4+P*E}5|Gy|yZ-<i8)9Wo
zi33?^9CBi;Sbo&GYZDyQt(>2tA7J8=CwEv$e{1<JY~_)0cgN&A1kyB(Y>>9pz7aTy
zS$^b{t#AuJ_Q58eCt?C<#ygVpDj~3v7gVO&mg~bGx7w1gpKReje{OR;WgX`21&5Yu
zk_QZ=uT-eoYjEw6NHA29z1854fcn3nru$Q;R5o^higViVxhtP0vmXXbUJ3T%+cw9v
z@t!JCbA;nx*u+x4or{i<FQtgV1(<R`6{f>W+LV-z>;o}M6WRX&0p;Dw@@k`!e2s`7
zwKbb{gST9rTqj`5-gY>o=OwB1<6P_~h3mE^BYKYuT!u(WxvrnK(M^6Ay$?@nD%R+=
zg(e^%Sd4i@`D%}Py$a0(+%7POmzp;+7`AT{DWUSw{C=0(XVQ{ZWmuWl_q6V;6SBqI
zYK=Bl30h33Ky~vCJQrr#_XH@VV;-3n;Qm>ahuo6ZY2#|c#Aw9KaYi9^+uSB@MOqyo
zWd8v1ZEw-j{d%{A?4R&|_*?DNj-AuG{@6V4=N(6tze*x6(_gt3FSLMoOcAp*z5{++
z(UZ2`sK0Zz#J`G_`Io=!D|g;^$Cjd=RWta}6G-F>y!>UA-J>Sp#G}m0F;Tv5cMRr^
zSL1QyabL-@uWBPajiPLSaGNc_6fXVAK22D;D0HRMx4LNLsh#5CZKn?2)j4}hB3cWU
ziy?Pj9dS|u)}MZD#L@`(TX91ik~b0;#g8gE3|Vrg6wYs;426Gk(QIVKN!pQ%YG~#%
zvNH(`CA@H$*OYm)_(kOqZ0GYc`A_9BaY1k6C9)*X&FhbBBeB4Yo1ItWUrGGDk+ZG#
z=CT@blw%7PcPuw0<~az8oDIRNL{9y1?jeqkj9y(cukX`qevjd#eoXD=wU2IPo^~j+
zQOb(=2%c~S9%bEHy4C~w-;eINb1HukciY*8h;4@%I&&8B4pSWo2?mIP(~9Z2jE5tK
zipf>QjZ)vole=P0DmU}CD_%2^#^pI2={Yn@_4-_)u?3mfz9vquO8u;q+^qiqZ{^~$
z;s8WNiIuwmUTwhFA?@*B{Zq*hsN7+G<7tDFoV-k}MH-syb6UwccE)E1isFy=8=HfX
zZQ0iJwvE(}w-a_~@9-v-rAOgd@`;_(f{s2*mt{P!A|EM-<I}9{1YSFgA!M|x&B;j2
z>O<nBn^DWDEHzi$QGDYR&+GP!$D_Zd*CokwPPUzSe@F4?-hT})K8@=C0DJWQ(|x*^
z?cHrLGZd1s4Qk~i=W;rtd6pRt*-I=rCS9PB`;IMWziqs;KdC>)gYI9VJ-QL%)~hst
zbPh76TtK|59#feL_b;g%k}oKJm|UKn5fFwq27=i!c3<7fFC%-00w<19_OL6q;en-<
z=8>ODGvx7nWb>%cin0Rl1TQ&b>a-B=ij3BB&m4VW_`j(((E@fwrDChQ!3TAFX`)gC
zis|{vSQwp=eALaR<g8%E$w^8|Y8f{eJBqP#xVdFwRcG$8x53*^W3=tuR$wS*UrG=e
zQ@cce2U_z4(vZl--G!LilzJEP>q^M+BGi%F+KP!tsbOF@{RFttZqzj&i**<IS6P@@
zH>UkH>9qd<#Qy+`{lp=`tjuj*pMG4V0bUA%Ox7fkqx)KP{um?fm%0kWRo_UN-LBL=
z{xrE!y;0;=sE-n<#V|9;h}05fIRtU!IiEeIEh%JT4xg=7LCQe!Sj0`-$7gHHVwl6(
zY)vbj`uu_^55=h)j!a|s93435L69?<W1#I<0r<A!JhgUmcjTS6s9Ap79~3h95bhO>
zd@l3F6?4f=xLN#`nN+eZ8Cm3=oiZ0j=!;91$X&GT#9{GnX`D@pyE>9S+IA)w+_Wk$
zw({5^)N$!%-pyID^{h;*$JrUDQp>WxE5{52qrG*Bs`)|V*TRxkjS-ZOSeTTN>CbKH
zw@&M8X^E2)dT&dX{{Ro`&#u1>`Z9l0`jv6<rLDbY+km}5v`;LxYxf8#aT}F*wmIFS
z_(<0aiwmcHCpEn(4N-0~8GOjNw52JL$txp}<U!4(Gj@#Ml0Bj{<hGk`tG5@gFEtps
zgwSw!WYd$7ql|0}v}cW{ziKxkc?iCfKAtk<p=NNE^or*dPcIZD`oM}Ad!ZV&O|923
zcqC$HPD}dMkvk>_l%mABJe1?D4Z`;Ggv~TpqvG8>QMgSw0(0#?-c&Ba-Pcx4$~rF2
zth3646&nv`AWY&7$=qb}WPPT@()s7Cg_~%baYrk%aCbo;G5|P8E=I~%V@%IjD&(Se
z9U6ZPwJ353*v;gP^<FOFQm0)=-INf#<wn0Z>KsYIF1;JmOJ1(Y{+L*XV9`{MyEkrO
zF5hgkkF|(@jL=OYvrDq%i(Gt)Xa}_$GTW`XCg!l@iM&rRcW+zKM$oA2#xhS}UK^a6
z#x$N#k}X9a(F5*tD-mF9u~*u9kjjR;Mu@&LSY}q|_~jdO4*?DHejFAf8ge+rwGio^
zKH@LiR$w~PYtAvYo!&JBs7c-Lkr~5MK`h+*m+iF9B3ue7m$>p$E?Pw<-N|cfXama=
zGZ7|`fk$nZa2~|-*5TmSw?H~~e>iE><7zc$Ei`JjaunCXQI^)<xWuy3d>Ue5iZ?fc
zzXaZd{1C?SD^y5Uybz$Xq+htCkAt(nt1bEZOiO!QeILXB08jPn$!TeCOI!4B!I|Yh
zWWW{!M4S1<{kd#A$qj+#^eLQUUQXdjSfrLp&m1+u;2FMVJCV*F(}36E!Y%e<G8XL3
zv`@9$J`IkL%4~6fj79}9ZKi)F{jq<Sp{SpWysfshHIwINCw#=@<C-Q_^Pwt+*gLg_
zZUH8lxXHgl`h>Kjmtt%^wwgA0Wu>{QR+cIy#y<NrgXX!_16J{;Sw&iF12q}rX(ZsO
zYSiHbbsEiwgfe*@)s|<SL1E)5WNR_SIoB*)-srQpdrJ><xgRf^5;E}-c4P<Sj7--K
z+T+PdWq^Cm?^Z8xS&YX4{zUAn7TAZ0!c0vqM;DFe1W}ZzKtWuWxa=&d-#8U(BQqGH
zE+c`#`|3F{mmO!^Y3ko-9&GqX*jc2>oH4vZ)Q&OZLG~&9dhKssh4uXlc(LHICB}K~
zj4fVX`pv&7YgqPj*1Xe4l(5cQ^Zb)S#K)n682F3&)IQCejE@spnchj{(lXj|c2Hd{
z%feVN;<D0qYvb;1Gwrv<RGsQru3g5=SSTZ*Z@p4Wj4E4udp2B@@$J32$nj#W60OtI
z_bUiN6rTwiR$~1?dCeG*XXRjn4~%)(>BbKzF{XBcLAMjBr;Z`WXGCF=$GMY8K8ci3
zrjN<93X)XLozoY``)>)5x-IWYM<$u*5k?U-G50hqT$j?u%*}56#|(01q>&79$fGxf
z-p12U#Ba~cqtKOck6TQ?iwvx16k2ZDw~FSaiQ+HsxImg%<x&ove@WX<$#P`Nl6Oq)
zzef7?f5DUb$f_7X+?r9b7RpE+miW9cvXW2n>^_SbZ@C;#+MG{*mS_FlJjy!|)fugO
zgOrF6oTLpYi8apQjG9x4!u4&&K_t=YX@y8}uzaT@grimk)23SR$EG9S<Pw}}hDVs4
zj~0LI7TYkhss1k<G7=^zlm^D6f+uJ(F;1nT&_Y+EuGpH#Zc8%pUH9c4m|E*Hw0*#A
zf4P(~fdVyhQIZP>$YVAX@3Lajjz$?{%XV5qmhAL_ppCqfwv?Yn=q4yktp3^B*&adI
zNx3RiPRr#ojSGB?mn|-QQ5Pg9z@xA-M+vhbXqax!1pcv1Q9WDjBTNq}hc6xr5tGVG
zm$%$?&C_kx8!clKK0m8yT^_K{$8k^-?fG|hedxIs(|KC+t*#F1M8Atz1qpVJ&62rh
z(9Z;R9(m*denUIPrI)(s8*deV5eLgo$(J84`d2a>3btLZRGuLswdFJ>oOrBWDejkG
zLOSdq`QBvk8>&|Hhsq^c$W~#ccp<ZPv|6z%g=2Rbf(qnJ<4U0@<emY8DDIBjWFqZ4
z{?GpQK2X@I($}XvU8zY(`)Pcuqs8X2E3~X=e4>9KNW7qwqj$VIn#;(*>AWUn$(e0!
zN9CMfdUjGi+P+nziff(1c{wIMGZUKbwQ_=RwO-~j71;<>jxO>@!n=>eO^Qnd#PrOW
z+Te)3KphpHYy;+n=3<ZLzz?f9_~sk5WUNl<&x#vusLyV;oVMgkXh}Nco6*~Ai!%CK
zU)SR6YwbwupC_(-M@;N-yQ>vll^EURxho7)pEZw|hRn7bxmr%+Sd+938<eFeh!Ob~
zcTiV3o*9@C#L_&Jmoph6kY#HW_N0zMT%AT8<T3W%U*%=knZ*mO`22(%k%tu&owM$<
z$1}5)YUd)02Q-pF)3L<$<BjCVVM8MgynT#&m6A0T<ALPKPds?cB(q4u6=Ia#&Pxvw
z4Vj(n*mh#c&k;eA8CmRiB6|%CvdI;dZX<xUfO&d&RA{}I3bDZv+3mmTE+qMd9nqCb
zU`116y>i7Cib=6xPaY;icrf7`<#M9{xp?LHzm(3QrEudbN3E^1re{pG<`d#m+$VV~
zO*f{KEhaq%KM!Kl!_&RA!R=bL`1u2YIg~=BI9*+c31jG5xKUxDq%v6mc`pDtcCCf_
zhX?_&xYgu!PHAVfGw`<o#NY()V!vgO?PG=IVHOqiw57Qm4QnQIKHq&Vz*cfi*t6x=
zEd-~zF#s`9X?Y8V-zPgTv*@FjOA^vvdi0@%rk~>Tx;soy#xqR=6C8X7!1$#L0_={O
zm^ykcnj?tpa%XWDkOz}Agw1pw2a4?RC~ieMwhtP$Yl%l{GnQK{QvU#dZpc)J$uRj~
zZEK3>=lX96zl$<tJ{dcvbz_GXow&zk#e2^qdy9elt2S=SNadP#jI0x`;k&atshtCP
zkXe)lA`knIQyeDKV~QoiZ^gHd$(2%uz*>#8ri@NI_}7ey8m}kr@6n&tn_|PIy}tG8
z{+jfEzsZz~xxl@_DDJxVUlEi|M!~Fsr*sbSzjTRLw(+jx$V_~tk|@juF$7VRr5uA=
z0F&Pr>1U~;lC#>E=Spq6$)zvu1d+UDKsh&S&8YUL@JyUre~UAdjWQ;JuNIQK6Ig?R
z1($V?s1lS_;)r(4tjO-wVePaf+K)3_tW);j?S{ZbF#8(tC;m2NSsPpxd0uk7?+ACD
z$*g>gPEvvkj;ZwQ@{O9(P?Vw^t}kxVVS0WChEAHt9CkV+8GACvM=gfb(svJDd}$M`
zc2x26)6PCh_qBzWwqp*W%mi#-Bt`jy=<Ma9Y&WCnm3(~nRDC0oB>f?f2D5~{RCtiT
zuaqKE$$;q|Zg(ryUf66jvG&^_12V#79nM}V^`6;c=u4HJR*MrI{Hf0*mo)NNV}Eo^
zqRDu@4+$vC+!78J4!{deUBj;v^1ghJmexNLJ=1D_!Q8}J&Q>^@T%5C_k<GuYtYx2R
zZ>T4!EKPB=R#VK%u6wl%87RmgA#uu|a?X}AiC&i-NGU@*rzS*7NgI@QI2Dq2g1ODx
zXt}0|g?EHm?UN#&(YuY8T&#;Xaw!`l<{6}7$k^@|arL1kG*TGlE6-Y3>DigfA7U3S
zTl#i?O?cv>Qj;^WHv8<%(`_||&^wZ1OiP!`nv!M)CwU2~I7IL3<(#G|7TS7d+IDXy
zTv&^lK><k8Me-PyJYtR7CN&xMO5QE3MnXbFs$ME34q7`Pauc-Ed~X1{k=$OOEv=$W
z<-U_T+W!9lwY@L3^qu{5w7GhD+wYc?t>i<L?~G}JJSP^jN?09=MtXbWkT!XB$#z^=
zD($1H>{7}iJUfa$F+D2%)0(<GIg{0(HCHt-w5@)-1Jo@_5^a46*7q+RK(8E%#`R^s
zT)2ma{2S7YPb8XV^nVJ(eAt_V<7V+vW*{Q@2yEgGW>M{B4Tl|$sMjroLtY}=E^VuF
zc7oLX#a@iE#U=vm<Q*+*bb4XftKe%4aZrLZU_HFV1~w^O?4781T*g)(VnX7lB85Hn
zu(DPA5|ep$(=)doOKWH)?Ua2-ZYD0Nw<KNOWcp!$!|k;0p@i(69-WP;-GHi397Q|V
z>AUt8E2K3gSB8-Opn~ffdl5MPole4hE<J}i(ojteZjQ)UQuHOb$ELboDr!kWHtGw*
zV&6^LCsu9*j%4<i$~#YY_F~=ZIQo&$tDAsrEckw&vDmA58EAAgQ33RIH(5TBh8FF$
zLtzk>TFoN%9Gs}I$!xm`%$@L<e*3`981*2SG?wHx-qx4buhM@$j_YgsXK_$uOd~lQ
z=8d@?8lzT>WK)`uSW%ZXAR+juXVMqsf+T0n>*E~MbOtu|;)(`EQ<9##nvll$xudmP
zH?MfXvHt+9BX*VGioA+Aqh#>JYUfVVw5I5x-cJc@A12&imXj0lDczbND+(MTn|^?L
zpARf(>&X(1R|gVpZFBNY%$h%PaMF$@nZjr!#1koN$rH2rUuzp}!0g5IhOZ>}x0$PS
z=tSFS%G7a4p1Trw+#er%fe3_w8@+WsD6*kqsnb0=X&y3zC$XMZag+H>J9z#K{{U-y
z^c2g&+F|AD{*3;twdm}=mzPfdMuW`vs}))4gN%HUvlEpV$=a~8d?QUHSg2xq(Fxd$
z8%-PPXnrxCqW1m8O5|`u8}}X0MKp_^(JZL=XYG`BpLJin9j@59=^vFlZKr)X6FBSE
zINnEkWvcW^-UwP2`}B6?tjXI`Xq8fNl7YVC6&I4M+)-~`O>4G2H?Mm?#Y$UKKa7Wn
zA*<ayB_7Ro9xbh*0rY0lZ=$ap<<(VtH*%GpC5fArS&QS7zoZN%7o%ybmxFTK@53$n
z{{Tt+t@!lvsdW9zOZ}%l?qKGw_)I^ugh`q59Xs!>Rf4uT<hL&g?{H_d@~G_TK_hE{
z5RHR{gChHjCM<$>HIli?Iu}m5idMNELl@Y)72v2NY>MMZGFp-!l&!=%dE=>XC)Cm%
zkM{&vxM9Uh)RR-k#gBp1vT3sxdr@R%Y0M_=JQtYPy9QP+Y^0Iod^Q`nirrWgS!$;F
zER9owPm%us!2bY=E}W*<FF+&TmPUkSy$-wEOh7T5!bd2rX~X!-D+O#{@03HPb@ZLr
zBty5c7z}v)ymhjf2}WFjSm2muxPHJZjBy%?oEvG&!#kpJm30SBM?59C(QF$Xi90V|
zgfK6p#o^tZuY++fustSyv%Zs`GO7(26K#j-o!LswDB7&?m!KQ50LFCV)5sCK58GS)
zvT#T7apT6s4kcS4aEy05jmU(%@noaBjXEU7<<Q%B+G|Wq`*#-FCeq};iVrTrx9Y{m
z)%>roPw#qvU!=~yO#M5I8@A<#vvVpP>EPQ#B;yE{WLXAuUF+EHwXDFxa%3ct`4PP^
zaTofs-xt`Z?K_1YW_`wvBDxNxzZ18D1G5|<a@2CEw91@MVpt&>@$yBjOYvz>YDXQE
zUU_N#DfyIQOd3wMg_P1XZ6uFkTJa!_;+r1(Zs&-@LmPZ;Ox0^!oUF^!-Y?JPN#PUn
zEQH)o5==HPb!7a%-PZw8>!(%vrliUoq!trP4!iK_rHVz>U$bvE9^)5+mz{b3Fyy9w
z_+2m`eJqj4{&oKV2GGAI(&Fx@hhV8@9Mc}v*`kSmxLw~LbnQq$%6m~(Q(KZ^nn&a_
zeB!aEiqmer_80EL>{a5OTgJ&7Q!{0hweyD}?6H%9hfz!~S&xwfZp0zVL1SW?XLYje
z$!GUEOQw$?d`2LD4)P<F*>x@Mam@qq^063Sa|TM0QIl#SXwl@QkX_u+_)bfct^WYZ
z?eOU){{SMWe&#|qA-7|(J~CmoO6E<%Sf%p}!eJqNDxd9JlZ{*%yC9chMl8=}CV6tT
zB2#s37((A&d@kp1UV1b3E;X)aLb=>HVh9JHGyd3<y5_m*5i=sP+;Y{Q^;V=iftW#S
z!=rsP&crq$9^=R4d;!0T-*Ihyt?3K;NDNVz^7M+{=~7QBDb(6GH(+Oo<R-3ci~M-F
zwCRX}L1oN@cDwvyyHT8^lT6cXY554cXLeh1caKT@vkw;J>D_H_*K1z7T4nv~Ny|<U
z_e#DpHceJ7L_L)t436{w9!)7Kw2EwCu|bP+mIymg*{}XU#LoSu1Odghw!Gvf<nDuf
zvC%lj{{X($VgPM&dW`K>ZsmzyEhlGniK5jYCr*#*!)=e^Qg9{B6MVfW{{Y?n{{Vhb
z$^gB<lDfynv`*t*B4V~I>l@@D9&(4yKxNc&ai~69r-PN*JgX(eeKuA%X$B{r7uyuP
zSXrBsJ4VpUbYpC_qHomgI;oVf4}ScXBc&@?!Qm}8a@_v_v0?kxBcKsidu;4~%YK?e
z84~ugu#0Wa!>&Fzp~7N4!$XO$3!X})agO9tJSNUJN<Q6N6;5(7uAak^khJFNQ|3S~
z$VJrBa4KirD-%fzSGMxJ**OGk-Ek{2?Vz1gvi<82otLkN<uyz^Y%+B0Mx?{`RMl8i
zusnf}#rxdEF@;L#ydZ8#=Z+D|WTTRP(;FRM^C(%8JDIADV!QZG{wm{UvIEnv#>OH@
z8omtXZ}#G|i<-Zt{{Z8So<`}Kosxl^O4Ls{+Qa_<lJ(mginR|TiV>ONZrqj|_G#L2
zS8a(_i$7wzE~L8X^S5M0e#xSg$up)0C0h|{!_?`K6cnL>q_9;}=A`FJ=^JwK%`}@%
z{!UgEEUUWvxJ-5{w<ImWH^DLOw50O)9mEbt?st5YpB<|5fIKELCuc`)INh$ZJ7fcP
zBw~#I_L*b;K@6I5lgBhh<>?%%NyJ+5`-meVuHzucjwcd^)5g1<@SaH_IV1^KzS-1r
za&djFFSPBa-plDf+S=OM+d6;2--_kTiZ>Mve&Yj#0{4m6a$-YZg}v^J-w6rHw+}3F
zfuI2e8|}^^DM^ACfxEIs>xQ1yKI_`7aJ@$!RS$8z9~(88VyQ?;;g3-N00TGK!~Xz~
zA1K{v6L^uCSUA~9r+0mR5Xsvr@^{CUn$@WY-kI^E7w(ij!D{`Zjg<cYSlKug82&Y3
zKstV?pJv|{>5%7USJJm8%TCI1Baf!yidvceostO*UDH2|buzzhwkEuIyq#ZXczi!|
zO2voNG97p@+=BJVTie!+q?<8w_Qm`=@6nWT_X`<TA&WmZ0RHJ>Wwh3@bJs6#Cl+rQ
zVQ*z}w|!)=^LJu|qm~JKLzQU`JY8t`9GZCt#M1JSiOFp{?kZC=DI?}pOh7MJV~A^<
zWl`GEWCw|v_>A02DY!FS?bFA|@*Pca<Kk#s)ylj{o3}P22@F=be2PH_b7LHqKq%G7
z=O?i<OD8ODL0gOCkG9j>%G_X%LgrX%ed&9w4CLtKb6xk>eKg&`$cJim{eQ!afAVOX
zj!GtWcV{MwtWn9Ao08%ZD)4bp*V>t%+tLToV{BP(_WbUo>HAFYgPa%W#G4fpG<7Qi
zj%a}4n9W+v#Q;s8ozybDxTFVr6e8dp_^w+_Y@F1kw|8|Uo;bPL0~p(4O)UN&ByA{N
z<iRr<kQjpWO&r9@{+Uv&(+rS%XNCKbPC`@1FKHC<%3K(RabY$6)|Z1tBY~9OJFB>y
z_JEbA^BMlz1I$kc7VZ$Cv$PVoDSvu7;q9CHa&}$L4H>b-=cnMp?%xz1eOVXK{sil8
zP93-cNt=H7)Ndi6a~1lJX;{fKx!VF}vdo&px~ntnNjdq6*k0y@rza&+9YrjB6h_hs
z{@G+ieX|Kfc<GtPN?63yafEFfvy|HRMF?`2QOj8Q)a2>O*CJVINExGYY2S%T+hA?3
z+LA3U!Rm>;W?v?H&)hoX?_R%<QpUv0d`#I#FvTo4>-J-sB8VJymz%wGysnoAVY2#Z
zTjpL>!PY+k6V|L|GmZY6tvgNAVF`53Iw(oJH&tOf(mo!*l&~BKpG@-;p_th<xnxZ1
z`6#P|gKHZkE6Vy%$-wc`Y;4hv^9BmAGz>7O9%@RllvZP4vx0B`06)t=*v%NGhiRkR
zJYAQc#Bvj{6S%XRsB|Xm$YudEy&Q4AQa<Bmqa_5>SXlc#$gQ6=@SCR>VXXY$Cp)|1
zrQmq|N+TM0*_G%RhG-a9P8@+-C3o3Yo2n-}I1ZqW%If)Nf_1lbN*CsG@rn-Bc`scn
z1?AQnf7<2pDLj8@MFyF(TH0^;sh@7mc45Ck%R~$e@bfIREWpsbB~-Zp7L?7nF%?2+
z?_^rJ)j6&!G1!emjJ0jwrkvCC#6Zz>=qPaULiz}UJx7GB9m(T`s#N#9Z4|bcXmv)~
z#%v*A>ISf@TsLDjG*WSSOMv_5@3=`T<GJd<JEMi&1X44=B+knHLYi9m#um!N(XjlU
zl*b56QN1uG2<Cvf^LYiM9(!hME%WqeQOWR(yb1aHL|R?mFJeYEh}oD=k@k#}0Sc87
zIJ{SkQA{&5f$}A<Nac9cl5=67XeQco+XsgvFTY3n{=FQQ(-#FakGP%WcA6O2vJA+q
z8M~5`<h{Qn!NpgHyC<{li!(cR_SXtZ?O$Z2lesu}35Z34&_y@9jzJR}kzJ}RsD}n=
z6r{Vn1_^+QdBm>THbC9^ai;x;Z%r)dJ0p?W5;iC0wr`629q|g2cLT62Z}Cn{nf8a`
zEiQ%SHvtXF;nmRn)?;NI+Yu=9c169}IvXUaW+tqo%oUjXtL?FIccU1XM~kPGfn;(K
zu;VRPg1@+pmTJh950;L#OScN#{Jf@3<(b_J?L#BR@ys?L$>X^C0QtplQ95$dH_2%`
z{6;Z6r63q!C-e5w4~HHrUM7#d9iw`w?L#X|DDd}Br?5~6y^F3e!yJ5~XQv=bDPn-a
ztyrN)%Dv}5iC8C4aCIAYXDOVduVKLO`KFFa_am~oa(mK<g{+G?bnZm0SIyR%^!eH}
z>JLw1?Vawg#Wkv4)P+PS9iu@rnMsNs#Qy-zVn^Velllvw`76-0m2{i_Ew6Vj{{ULH
zD+idGSlckf_pZ+6?%bZK?W1>cBM@_p%@j}WvGqo*63XsTlao1j6B9D`E!<)5BNfz)
z#ZMnZ<x<){+)y0H6)9bQhsJBPBe6z2ZJI|Mw*n|EJc`eTId=#|MQ8&}6LC!3lYw#;
z(&eSeIUr&wbF(*c2L0W(wcL=4!sP6Pw2n<9E=2zTX_Q;w4C`J|c}5#%2XeA5C5#T_
zjw2gPY^F9x_r=hY^LW|Dc=h;le@<Lfa`<E9<>i_5h1c}nj_9A#L(*s3kkLuS0J4?Y
zoLtF6NQnhTVD=j-^w<c+o*lagOlsAqD8^EDie?$DWyq7*mQ>86+bZ+CN=seU45&?s
z<UbEEm{`$AUHH#wnUxUv)HjZ2ToE$NM#oLIQ3M-P4{bZ`;r>#V$|vBW7LZ*(+ZLJM
zOx^}b7zV|N!8L;AF>`)ikU&Pgle&83D^8*(WgU&RdAX`qy`<D{d&wu0w%6@DEPWQ0
z^4RT@PhifbJeV>v{`c3TAkvS^!3S{Y)$ZG|QR1@hF*DWokjURP1*w^a<+`I!sAHAk
zDCK4sW}4IxhBLJ`LMY2xU(u7Hgqm4)@x}2QRN}E5{VvMbymChT9#eBZ<Fi&4bCv@c
zV6*MfUbAIknqKBvy}ibtxf8_wvGeHOUmFX~cKT-1M~ljyGFmeGm@+jUMv|1Uz8c9x
zedFY&#6U+4c<VM~Sm>9+S`})`Unv*_yZ}a9(Myls-D2ywMLm~|{{T^UkYBjy@*TAn
zN=8%OkG1*u^xFQu)NmQQ&^XmfK=}IgMykmXIXLY^{0<^vPJQW2#1)`oCN6Qjj~R1D
z;w|Kq_p8<;&Q|4DH4Ue?jSG>yLrwCW0Qzo0ayVlbt2}lle<X3Sp#K1_Xu*}2Vso&}
znjs~wE0FOS8PiJ6&g`6<TR`qfjiQd^-TMMuN?G+BH#~A8UVUWb>44=i$3Ho-ag3HQ
zqZC6?;)tiwdy?2&Wi5twf=49h#m-($7z|?fWh5?Uy`d5sn^M=}#yTiu_>=Qvh_*oK
z{{RLh9GX6V0YLu%FGuj7(~pTCMDDqHt4OCIq`yxWc<DzPW{gv5*0t#)@rovQMI*-6
zXRu4T#9!pv^1_&Si>72Jq%wSAk+_hNqm83(Ld{?2D@Wh67_iU%*FNlQxT}>OXgo&H
zmol{81IpyNZB-8AM17Sc@rVqpX}qm%Sh3qu%u^=@L|RSu(W;dBloi@Gj<}K<5t1xS
zM8}Mb1f7CtZEz?Lz8Jx1M9H_3jfzLe$6T%EB9W^|Ehbkf7}Iy;U)wU$2)QUG2nXB~
z95xC!Y0g827jTN+@vJ*2@$O?J5=SN%3i$%a;ZD7dos8N%#p@!Yr!&`inhSUw{FZIF
zx_=CAnn-~RvB<dTIWxCXT{_{($;Po9b*Mbj{+@l{1Ft3|8qnOwf05JJb8CZFv|Un6
z&yIwpLPNxbn1pnrhiy*Wut|lVDUey(GQnr39g7{9uPn8$#gmMxozj*J)KgadL?mOf
za*J0v;pz&E6H&J{Mx4FD6n{Bi=2hhZsg5a#3AmK(Kul5=K5k8Dia7pmyQju+^Xkx<
zIOA**92J6L>Dfs)O(yBcg*FBTd$_2EHy$UCuszv<tkmhLo#?xZjq4%_+mn4KlWLo`
z??(Kn#qQ2>c;m5R>B<3+o=j*=Bw@C>fC)?ey&D!Y9Sv2<h4L}D$!<>Nj5WcnB)N#B
zj=oAt(^1dNRssAo?WS*xo?MHz^~t#0+r<dUC{tzzkX#*!^yGo|o=(AJW&Z#ld_{8j
z!a~l|i>~<cGUA+@QCfC5Vgg!=nM?+L><#SN1_yn-5V5IZaBy!dd|Y3V8}U*~%geoZ
z{vc>PDg3mNr}(Ck#YZcWkw44w2_H-8GkPA^^o38pPhLT7w((>81j@{>8%cbLhSY@g
z9Nq8PC|mVub~nu9uXJ=*0b0p4h|9R6eUJ7(%YP>MIS&Uv3M2T$dVb?ONgpSYChf)h
zZql`2rxOcnOB`EfOsqHTSn*;qXymZ`lX&zNSoh+j;t|-f%|R=P#(Qo^v~MI#p1ObK
z{lMMEt;ilHZ9~P_bS@euk{08dt=X_erp4aU$H~qKrSUbc;Qou<d9e{PtA`op%tAG#
z{+R%Lc&Ni=01G`@keJ0vv#9a#3OdluP{-O={x6M_lrz+h(?>y}Qa8gMTxLB;#mZXN
zqZYA`vF+}1?nFe)*#MZ(*PK&Qu_M!lNTNTkptJ67u=vNw=Nsvn?o75#78Q;<w%{vG
zN+X42Z+i%Gci$mA7JDr6?Z!<!XSIusr#jdQZmU&>sC7M;<<mvVkvpP-GFP#|!sGjE
z7}{0jgD}m<D>a&QF58mS{ItQv)T6~zg^GFS8EMl8juUg$2;Lz(@b<=-)?#*&I%n-8
zncl*=N;a%fY7uV~Yxm}Z5-|^FNyEs3<Fx)4Z*M(*<X0jnXQ<!5?t5|5z3rXyPD$)}
zYYgsi1j@r5bsgi1Xf6e)F#cmJ8#9ZVct{mtA(}@=IFflI77KCh%eeW>n|pIDmh_)u
zo%CLLRLjUJjn8oeyO2t|#MT&1pgs!K@7&_<yRRFK;$vcW7y1P(Z8()jI_AVC%lZ@2
zjrp-e%)r9Mbij}a8lz9PtBp7&8LHN^l{ovxMo$HP`8`RhqnMW_B5yAlX&G`_;@}%p
z$7t*DQG<}kIz}U@0Cr-d@cY=CYw>g{Gum|j08R8>j-6D6rm%H@>szMq9w>DLqsdyJ
z@;|WRZBX3m3&yhXJfRgr&{innZ<ESIFBANq$v4Gw;>=MDI^>!?7abFh)4$1q$RdJa
z7nh42wq#Pfl#jQD!+}9Ba3Ggc@?5?-2~Ulec9;7i@Xg6~$uKY|<`|WmWiz{Y`XO#n
z0r@u+=cOd9>|e=JZ6^DyJ5i31mlBRnNXc~!Jfe5;48+CK^#1_Cxf8HJf4wu5jcT=x
z*QsN<m1k=Syr|1U?zXEa9n>q6ae?<IR#|HE{j6mC9vL|g_h8wciMvg`BQ^-8lbwfu
zJvEeh#?bLhwu9)O!<xPS0GK85#vY}XZYCckEBx^?YP(oqIgf;SyXA6!q~4!z9Gn$P
zdRQ!`%e%xng7ZyprZX^vVUdP(GVSEyuA|gt(OIUmSk#${+;ZniQ`sB8glFQUf3@xZ
z0L7I1b>*}EJt_55y7Jj^<Sg1i$}v}b1-fq?Vd6qIUbOh`sU|okiqN|<a%Ci;5ZLNC
z;wZX?UU1kM!#7pV)D_0N7w;5M{9~=)t1zhrlk$b*7Pc8Wk5+Mz!F1+8f@^omIU6K;
zj%yR5wm@NXyJFP>2At#vjL3?Uyls~*?ZS=4wB(uz4V(y8kQ>JMY=An591g>C8{Y)Z
z?+8|P6k)Kh9-a}`H)Lm~k519(o~UqHuok%Kl~xS_imJ_OeCHalv223F0EnH27|ulu
z9^hXOHbyBbPZ8E)fmV_3$1iQw%HG}g<I&4a6LM<IK=Vj$tH|Qk3CQ)eDe0X@;Fyto
zkv6|3e*#I}*DnR(I`W-jnVwr8<H2+aNT^Gw``$>|N#wi>33GE{acy^GCOB+T_MlRC
zN;c9aOqlkoSLC4VLQ_u@l#<50I~zMaUAm`ESp@KpWj98*DSAA3-szdEiLndNmtK{n
z?!-sJJIrLP#lYRXvWb`%b$=x5!e(zuGrt~tA}=Q)I`Z%Ru<}s97O(P9=o&NH-pD>E
zjh$tKonvh%ygn9Q&IzOmhQuA2hT8)DQZi9wq7|Gz?Zpq5chk8peqc3ET9BV`Moys9
zN!BOa$tsGWY+1bIBeCv%^@yjhV5|mOae}D*mbHqoRqV8dEG;7mFuAWR(;o#GY;q8g
zUEu7aCju`jGSf-%DmTDmdHu`W%nQL4XO+T;vo$7O#fey<#Y#Q31iiJ5z1g4jPUTtX
zO>SHtO7VCx_3Jqo1Cq+>JMI$WugOB*J3Ss&m272LTPc`?oa2{d=!vxp{{W2-h>6+V
z^~zbC0*f}t*`Jsw{IB5CGn%(K6rwy!7%`oTb*oI(ue}qml7?_|@n9Ljg19>!c~>@t
z=FzDM<~s0cMG9!V8+kbPjs*w7W@2kFI;%IgwPYH@MPK(J&Q_#TU&mUL^@<c;ey=lC
zJD1uh8K<?VqW)GQt}``CK<DkoCv0SP3-lP|Q{XtNIG)3c>>M_;a6cGiaX5c<;KsX~
zLjW-dZZ-}~)#VAWtZUkpMSm^Z6Og2Tzd?O1y2MWnST0ZQ>{f-2S?r9k!(v!l87~!P
zKE!n{+OE5{At*95=aeOf6)t1j*^=BQ=HaIF*50}BIDD~}Cl*c{Q@cbw_GJ4_=+2yZ
zCl_x`{tTTGFDy>BiBq4kVmSu%cB{V_D-b!wq;6XQQ!<*%i@mcI7&ynx&TBCTx9x{`
z<YZ~SftNQ<C|A;H*xaUfE}q0jF^9#O+j~u?WBCtK;&g&Sh^yLT8gllIL1TN684cog
zF(lt^UN*~rgDUfOr6yxiMCkd7t6ArH1;y*O(0F*Jj<jQuDb!g)XM%p{*~pL`Oq{b2
z&F&$$@sckqqxE|gZaFdX&1_v5F`|LR3=$Ht7w$=2nMdK>{5!I)4K$W(6%(zJ<h1d?
zc}XNX)ov`zr7lHQf0ZL=ZL<%4G~KD2!!Dq(gk8`>=cYosnm#JqNDogYTRX3y<uTZu
ztHowww_%`R8HfdUIX68!pCwKKHITQ!t3t%0W@H>!F;B(Q@K>t=qHZM-@laoQp)R12
zl?<j<$}Xe1LP&3W%GPJ%*-5?4xj${F$t_uG=&Jw#LI1uqbaC-#dWI_^Q*vHZLL*YG
zbCep9G{2%di`OWpn}lq{=9#=xnVn1I37BHYgER7Hb`1@7n4=tJxscJ8ow%!Ui#yzf
zJ=v8>XSSQ-bDL@r`9KIGLl=$%xrLcX=rqqMu{FT$%u5wNdH`nbW$~=wK<wliEJhjT
zH;iJhOgYb+w$Y0dxz#<W;^2tM&b-CQNzr<L@WtZIX0Q{`{pvA$QTJr%<@2-;<)l^Y
zki4-5Ml9Ai@%G!-Nz|IFiK_!hhKtCfuFw$>8jJR1xigUV$)X8m)HPwVYW-*T1!4;l
zYqtfb{mrIZ7aq|7(z;Qme>{_YT$_{qej7~a8<P}zTKq{mcXm#-=w1~}l(Y^UymliO
z?mW$<rcUYIwIl<$;%;yJDF&?Na$U!N3vQXdAP=E^v$`F!c5+1?krZI4f02+Mj9m1)
ztCH_C6TgeBGDnbuv1TITRp#zBAKr^9$Jv{G#L3@(pW3Ee<1e9;Wd!dWw;}DS{t!j5
z?EJB{<AMx~UAeJRe$mzCEn4FW?X*zcK2{-R(DoiXH>gFBk0pneimyK1pKY&>R9!*7
zBn-*^hAwKkwP|ixD|18fE0Pqr>`iX{x`QNgX6Z{_@7RfPSlPZ(2XZHb1fhZ!RfKz&
z&%1G%^ewlFa;+r{sN9C^99lS^lx{Msmt(Bg?iIAh#3huI{nM%LQMU)$VlYm8p1E-m
zm4$~P<}(>bj>f@+XsnB?8gm~C8AO6@1h{;p5JwTgeo0AyGI<WvY<<~}#IO&}zDBgw
zvUp3AK0^{%#mmeQ_!&7@pnPM#{Gx*Iwt^nr*Rfx>aGp4ZC`7^J;WHm5w<n7-iABGS
zY=>b%)InT>tK;HXc<x?nB0+e<arVH((z6L46w-Ky%fs<PUOD*J6=ug3G^jj`@1n>K
z-M+Ba1}SHZWR9%OJU^vDE60eg#2RP4d4OOaYg;R0+*x8!UwB+|gCj+FNkU&P=8J5+
zx*rYWl+&~=D~U|b`rEIy$q6oMGhtBJ(`T`blE-P;y%|5zP28l_{k2H>20Ccn<qA=$
zhf`Tp{0y+PqdXuljE*df)8pl#C5vy^GIAmEo%QM7+dr2JqzJFOH|jf#kL2aF--96V
ziI|2!)B5ca-jR9qbnC{8<gu}A+xFPsY1tB$<YaJ4X``Ez23#h+@nTK0F^L2X%2#gN
zFvi{1*;y{+)47QmCt@|zv2wgpd3jfLcMzEE<!x9lL!6EK;o;+#gW)oR$1Xv_!#8z*
zL*+l`j2UH;r%KOZs&vgb2JcVOm1QZNX+yx&k+obSH|N=pAt4-?{#~dDgoXIL{{T4e
zN87htJan|J9!}MkWBy@x0TGLbw=tJRTL#%Gc)pjXP9CP{<`I2~MqFIHt?^&T@bAtN
zqA<z^?NbdkE~KfP=viwc0*LFMZc6g^1KY<S{*@CI#%guDu4D)18a55;^mCMT@wEB%
z7aUwtWm;%y<q8v$&ohh5$ta3)+mU>+HhsO^?H8?Kc@a?kaoUnrg~EOcOQi70Bbzpf
zrf)k?Nx<Nz6`+F+R1mPhHtlLV){c2YT9d&-UlPCDd>>FgLO!b7J2u~3VT71qqCqH2
z0P0HnaW2v1A9K(9k6hefk^3Y!93!!C$hPi;A8roI`fm%*99~eMdo~BP9iHOlw<Fk(
z)pOBB<%3MQHs`w>YoED$0>bgi+OmHs-;g_|E+vf0Gsht`5<!%N(PScpNt2I_UfhS&
z84WY1OzTg$=O~{UeaLIHAQrMQ$`viS#xn`2Cur9)wtO`({b@Iq!_NifkjSBNkg0K!
zJoP4{mGlNqC_$a>ZaFcRE45kd47cCpyWt%7Y{x34#$e>ol*b=Fo*5#Ut{k>)H#nPn
z)|041n7m$eOz!T_$rsYnAHkD4`(uy8w!a5|E}hYReXS>ET3Ckt%U=}I?fEBuPVp0>
zry;ah@)adVF#Q8)@Fpnnlg5dpjeEjOWKIpW93<%LXzW*D3~nW?oKz}=XGNn?-gZMH
zJ2@`$WAaA(DILc&4spefp2OC~1Qq1}02a-xq1li5yHh3Y09K<Gek;P_Dd87S2rNfW
zPm`EBQj8B)wJdycUhr0nZ8N&RL^747sC3RB3Ip@YZIB1=<0TOYrspe;*YS?roy%0e
zj3@2vhxrvp>$b}^L|ieQKK9NCMhO1^iV|mCYt!vof8Y*$kh<c_72>m7C@tHRV#VXK
zlVfh+x|*hLzfp9gH`Uxk)FrKW>nfRe<R5$n`HSA|-WL^&q}77wRmnQHnzM1Cxnc!1
z>l3g@;N>XFjC8qa9Ghoa^T{>pxeQSUYHJ=vK*(cfTq1U`J1C=ahPQ&25n{SJKS*ty
z2s(k;22;EiEb)t$%WFs<wl!gUmN0Pzd2<(D?bvnPu;{)mMsM6A@g<jcU~*Py%OFyw
z<a0t*)Z{WXnYM*c#rIIvjy5`gZIYz*)p{~nc=~UYcjy&4DA?x|uJB6~>}|<+JVtyR
zt;#JNv$~2_l9*FD3J9!o;AFL>GwI~pt!?A1Ad85mxgWHxHwzbKd-5J2!aBbdEjGA!
zar4kky>U<D(;6fSwWGN$tSzEp#1O?~2o$3u#Yl9r5ws&8@ppG<N!fGL_upo2f<!V%
z#f+G2*X#I2t$HzOIqjmCgtliBlNlKAKG6fgFTzTl`O1`R5JAA^VpajAk}Q)_DP$V5
zUg5oQMd<->L|gQ5P76u@0FU6_teF_?owWXh+joBn-_y!=T6ZjNG2jb8`jmTULF90S
zg?MGj-_h4E9rVVW0N&OjIT27g=Ky(zCT5xsl&t3X@7k^0UB`7Wgsj}+O)I$f5XkJg
zxvwds2VLfbY~1aQxqGtlazPlx&m)>8_P*Ff^dZSdj*>yEjw^PtwSya8ejUS|*C%xG
zd1YEo*=6xj--x0prLH?-e%MY0GO1Cc5rLyXI$0@uH228phQOkA(>W62PRQR(5O)x_
z0p8ZMg=J|DMwU{m)t`PsA|+0zaRFC=GS&OdowD)cNO-ktGE<WQ*S*DS4@)l%{{Zyz
z7{b7eb97E>D%QHIrD0%)Z8m1vPc&2{k)p?PX{j6tVK;Y##dh3Qz=lYZ`ix|1fc8r+
zBWcbP*B586<wkC!4ocZ+4apf)H<acAjbHLQ@!@aHYIZF+;IdK0J~JgEELFh*ZrTRh
z&iX-M;Z^dTnjdc;gEU8_T7D-4{m5L~yawBbPEC%9ySYqg*c^-pRzmXiB55Rx_C`q^
zoMlpI)FjcW({gO>Mw+;r#B+hlq8Ho0jy#SST1Kr^mFF1ajz96Lo3hr?{8*3VLEI|>
z!hk{u%4akz^F3^JiQc^#O2vMbw5;QDHIT_Qd2!Lm(_EU3*m9Wj$64Q$%-VT1OC9$@
z$9ok@(@I{}yi!=LT2Q$|+l}Wb0<(M$He4N-Z8U4N4vrCJR@>LfWO|TdR`L^GFHZ~U
zK9-pU*@i#-+;v&F#@Abyy>e(R{`J@57*GlC-|S6tSw`G14yK%Ri_#w{{Ws|Dxp@3`
zwwRYR#kL{Zao6HsX_3B`7QeZ(C&fxU)bTerCS=6^jrO0@OOk&ENXNJ@LyDJ}0E?29
z_(@VXdLt9@k|Ji{OUoxU$#ZRY8&4yxnkeLTl6Q(Y_apYSwaGMVw3;_i(3Zhd>0>nx
zHmxCMd7e73W82;{yyv$+i?o8uOoTD1a_VfYtyAisZn9+=$w>Ul+(X=-a4cBlGfd_V
zx|ZVwNSRTC_GO9LblYr;!-#COI`sb80dao4qV?>$r6+A;x{1IJklL4wc-XGn_mUQg
z5Unno>RGW<*Rcj#w_9}Z;$_C(9ChqoR<3&+mAzK2_`ogM6XLl#Fk(&H75i@dBavOI
zFatjzbsQvb9Z}cu^lc|5XDCG1WUG~FcBGtPhQ#k+!m&FHl2wpwg_`!AN)6k`Vy$IQ
z2mYTyQYw?tsVU91+>DdP2C_XVkI1f}=xH&HBkYr*ZK!EZMcZ;K5%!mRPhTOZnnvG$
zOCH5DRg1F}axf283_Xo$sgD<8cWtw%+suH@gc($iLpbt^$Z)U(?-!O_kUrj<@p$%1
z@v%q*15`-kI1iL|q}cxe^ybXw{n;du-D7%k)==@C6$Mou0$Ov@z(HD0Zpqz=9x9x&
zM^3zL*7$E=c?*%|@V<6Xc7ZWydRVIv*$>g}*a=?uwzD(KM$KhDa%j{R3eB6j9T8ZZ
zRCi|Fa<fHuCgh65k~~wCM{vec{@0RPcl3DV<LSL2kf9pZJ~icTQIitj+?oQmp{rIJ
zw1MQik`X9kAttncFGzly!Y5l>{{WGlIVbXneI0MpTUz4G`&i4K!f0#-pt(0_3Hd(u
z{8g(BR0Aamm%WA4PYE+g5-H*Y&D=%tW^Jbj*t(K01sfc4Ld>utHmUnIXS40<H@l{5
z+eacQv9c=hvS?yt{fO7?D>ve-&7O_hA${*lTv{Lqjz%10q?-_XgQp$dJRBi3b>Ob8
zUJyWD?rjYi??_U-aXK<_E4G?77k=ch;G2|mV1Y|=n3hCoSyDd+f?Ye!+!3xM@z;=@
zs<<hw3;~k1SL{L@&a-fUn`@@L2*%Fomi+Sby{>GzZFS90bBYZ((W28VWez0m9eDG3
zQpnA&+U3ceI{IBL)dh@~sOvU&2|al$mLo4VB<#)Jnw*?U6WVgxG~SG@{_Q|75yQ<3
zFnYJ9y&e1%eYF1ozYSV#zA?o1;Tcei)p?Eg)7>Un(W6QXGy{A_SM2e;QrJ?4Zyhct
ztEIeg<YZ|A#1_M@x?}XKKS|Y6ah6$m!-U2Bx{8~}Ge+n^7r_TNSlp0Tj4r#udo?o_
zejVf6OsS6ANt!Y4%IZ5ZM&oa|En|wOmk}=bS&t&zZUg8Y*OedK8&zceuWa%>RGk$;
zWyOSEHgmK+wIOW#{3FCwYc^@Z6k(Fz1r5Gvex1C1r*zJ;l!qmctsBr*gN*L#3dcE7
z=~*UN?vsKSj}rw%J+NVvSYL$0n}F-ylM)uAzgVJq<#HISoT_@i;6+wK76yVpGdX`c
zc=@lMH=$z~t90cmtMp1FQgqcPDR30*R?qbL<0bU|<B`Cienna}#mY<2%ZsB<X**Tq
zhIh!qeftu2Vj|@K0Dh6alasCf5B~rb*4EbjAJz(zO!e?<^x%!I(b&^@>q}x%H`;H$
zT3L^kB20Q+(oZq6?jGRHJW<%p6yY99U`?5om+NG|UoJJQmul6aHPe}|YiQ&Ei>StF
zro_a|Ky9aXQ`iwhej`r{I@9XtcNMVhsAA+;YEjK3c<7@;2(X`R)OMm_a0e@KO~)Y(
z=6;UvGM?+o?4LjxEQ>;@Q9F`U#|&#LpRYh{=4{)LjO2KQ3wIcH$Vu5%ljR+qF7I%y
zbp8CSvHt+4mN?ev%T=bHq>&>P)73jQKK(YFpG>#tI^I-$#wvVy31c1N9DRU{dXGEr
zCD#^oL#4F-y&=@)j+3o$(Osy{x8@~N<lGjyE<S_dOk67m$bh)T{JlhW%-)PVll)V&
zn+1mj1g>l~`84~9O*=a2ZkdxUWUb@zHM1EyGFHf4Y>a1?xXc+#RZsoxXzLZX2{BpR
zo3Hm2;Po<4bw(>CM6tJ2ehuY*)+R@K8A$!aa?vQ0ZAVe2SgJ7Bhbu%uVw-hksuC`#
zyZ$d})C0yDW%+jr)0sM^+@#14YEj^^FmYM<J9j>r-E9M^pCP6`4srr%Y!Z{)2-JwA
zR-<U8yz7vPnf7!oduik94*V2u6@sk^4BygZNts3W)pb3dX6KW})Av%eaZ@^$gvLKc
z@SHg~e%j1&;~gl1zDfT8bg_dvXhO7Rdx&B(AJQa|-XO<TZOt!F<6)(aB7HK_f8)zb
zJyEh4$>MtQ`qM7-gGzerGhX+lN=xxai>%SMCcd&*C!RcxGTaHD)PE=c0GNwwl6O?2
z_Y*+?z{UKEH6(jd#?iSx)BUH@ER&Ux{WxO^)nGDwL?qJTQDdxfZkv$ew}_If2%6yN
zS@--^7}{zUVmPMYV0b*C*ry~yVDSu7*L^qJnZ+9vP*@lsI9Q!zChY~gZz#b2Fh{9c
zQHk$oLKd-<ns*6I)CDl9vr|HKGcj5k0~n3Eq!LB-m&x`*m2=5jrCJ)W^$vKBR|j%2
zVO8TZJZ=PgSpa&L>kqnsBX&{O_`yx*k_vHD61Bm5_d}7>jmV{Gv9)Zd;p{};FHL&?
z0B)H`8;W=trjC$UuaRq1CmB5Los0N{PUz{%xDt}Ipxm~+Z>D;Qjx6p2^uuJrBVMLT
z8p8#M?I|KAW+&e#ci`&rajqq#5)T%XQxXQ+uLmQkjjrxpKUmbgGp25pGYfEjoi8p@
zRGp$vkOv!=M2DuZXPB{{7psl2YQ*L{K`w>e$#`!@aabJr;U=rrIBV(g^yFP((`}H)
zZ%A8YQhwGR=j_QRa#=o2?b*t$2LlLnIY#*5r12RyE~)<j%7=`H$IG)W%Iz|$3@?$#
zjhcf23*#UmZ2eG?<ZcA%-7={9Xk_5g6G&nLz~<WTJZj|IR;K33(<%id^W(7s)uIk7
zd=UoIE<Rsuo?hDO%fn{De&OTavK8EHO<srsZ;26YF>QEcUq%BkMKS)Vm<apFVWAUe
zksNN(vB_RhCUu&f-C|;C@&Y}$0cmhvREEOwOwQeBOe<af){vWlVJlq9995b&<LDy3
zml))asd{!HL_A;Bmc1R*{{YO;8kL$PRvDC80)j~TqCj@)m*4xXL)4z)NsY<f^qDg$
zi4peHQ60%E(GX~9k-0||akra?Qs*aUlPM(X8?mz=2_LXb<zJg)Pp~-{+mSbpnRf0I
zIFHqc<V5eoBr<?kl%fi=JcDA(M)F)@8=x}52i!6c8%TUf_Pp*xD4rXIspNi9S#IA<
z*^+WG=GPms1(G|KqT!6A3)sm;a+et-ZYntY(qrf}O%}>Npo6t%5Pg^{i%Ob;p%-dW
z7bky{x^yg>VvR?A*+($C@a^fpPqqEO$z99CUiEIFuEm+i<FeHxt=ld#a>n%3vw>pc
zfMo;a9Uu~~gA<QE(osg!*Omw0n6k3nhW&SjVFQ*HsY(jN2@zDiA+FdsSjjs%-;|zN
z&P3^**)eGhuIdSta;$L-sx2p%<q`SoV`!`k{DY2<N;vt=c5}et3dE-P{++dbvN)-+
zWX#ULi?FvUILEX@iGsX$F%rVsb&1MJ1kaY&PyM_xd}NeGu}0e%dqPj*J|NXBcg>&U
zl(H>0HP~#Q{k>6FoK)lD@;7aql$Ja+j+(}wACeZ2-3U)fqLM7WgzOtUj$V)s)Nag%
zRZ3QKX;|2ePiIXvw<JWIyr0`TuRpOL_YLizP+!~~QIg&?uRSXrZ)%;~fBJ>p8aZLP
z9$mFg?BsT!eaT8UF{_D}m1?rYBy1_)ld~-|BQ3PDcE&44`75@{NvY$GR<;vkq_>-G
zL{j9PyY<!CIj)t5y_lJhEhmrx1fWkNF(G{}v&S6Kdf>62sosvTSFY`*<jC8S*N59Q
zxwt{6>P`zO`_s0Tmc1O7{{Suj0K|Qs7G2(FTW?J^__M4`e6Ps+FS1TrQj(dwl2fhO
zj-^ekmR34rcO@m2zc1vsrM;k;!DDPRquK{2gjwxH$`1Ln^#0(qPt6<t{7<Lkr9Cu+
zCc!^xTtD55ZD8g7xcn%Mm3QVdLhN0VQb1(gl8s6nn0LO6VN=M=`O96pluv<C=asba
zFvpgfD3cd`;wGx)oi}QEN!jy|d%B1I9a@>7jG*ee(TyzBIT=ThN4<J)!x|^r`$HiL
zg82%IA_SP&*V=CjX`MNE%ntH!$H~IGscDpfj;ht#DGRdmflHB$XLv-OTesdS^II}j
zH7d7P+sQ<pIr8PsOk|8J+r!+fa8i!Y4>z_j$7=J+o%Bxs0D~bXXQ5?;_(ow?!A7F8
z2BRkD*HHWuZIN<y(imakoV)JtV{5&ubtaO%ex$h8tD)MXUuu<D`*f;1&2}+(Z)1pL
zjAS)lzv&$_1Y3Cv!@C;Ckc5wH3Ol)Q7nb=<t6gXnE}^g4%-@Q2Lfp{4KRvU~WTSj_
zSMEh2Z5P(LJ87GPC_#zk9x`DjcRr+z!k+zNeJEFlC<&r)vZTJuyWt?bV5}CM{@q9A
z<bL5Xx^j0|I;TEJ1C1QqWnV3UvsxMGUB*pXKk_MM0fPK*q&7W-GiPj?4xzgn;4?3k
zY_m^A4^i0e(6II(R-@+`;$`<Waq&bUm9EE{$yW+^$SIU^->FSOn4@)PYPEZv7dS(g
z%w%uPX9t(GR`QcQYVujVlC@H{Mvz6FAyur5!#D)ha`k<!wEqBIA&zR)-8x}rT1>JL
z+_fp<3NoJ^6E(Q_FSbPg0P<;RX=!O|)0C{owtr3fH{J|)W!aY>Ci+Hb$+b#1mc>YW
zr<%)qP_a2kPD@)v+JCjj(xmPW4BXgTY1?7#SSH)E<Lx;{P5a<Z?j@x!$YW;XC@X*U
z`FO1dZEL{3l{Z8y!W}81V`)I6TIBdVkLi}BKJoP&{llyqhX-a1ZA_n2nUth*9y|W)
z^ukyx(Pa)GSy`>R6AyP2!Ix>5PuXf$xr?z6hgwehPd5c7N+{Rr(5P}yl4}vULu{i^
z<&<`UMX`0H#QbttT$I@Y#$^FX`hYe$rg3S&AHU6|xDcIr%E@D};_>xdZ&`Qth}qS_
z?m`Apo=ljlQ9Y*e%sW<m6tg^@ujtGBT0o$g$#+N}85Hs(%+Cb*oUHd^WIA;N#T@p3
z$-qi46rC><GLrdOj@`zVD67az6N7n`Y)yE<p=#r<+R94Zi0H7zLls7aex>SD&q(gV
z#puN1p3ItGZp*@DkDOjhc-bqfbD70U#Uk>7(+1RG#p94vkEJW04x0z=^=41LZR!uC
z(h-*UqP3;(NqfDgm%v#dDP|d*fjjubV@n`$^d!d6bR~}M9)PaMx_Y!Z5#_AMO4Q4%
zT^S`=YIG#Pv3T!iPpRPS=BbB#^0dj?DsD$T78TMo$_sNs76#u>IM0m6v~au(&6CbU
zL0Qh)uy1a4zmxGaQE7@2b{<iciv?k^GCX-Z^d}+5;zl|0k+q1bbkhU-3nGW7jLN+)
zY!+tWA5n`Ds^iYaFXIccbpBJ97Q2@DOC;nrWpO5wLR=49TmJymbA3PZ->%mD^!tAA
z+Lr84qszdLD;YF*JmY7Kq`PP_^zPa#RvXIVffY_s4K*!hX7=uc9g4Z}QAqk1+L8Ao
zznYS8PJ1Z+C%vf+m>5fpg}1UguMvLL$vKzw1j>^yDcOHwTUJAxP6Q~K-B!uZUFVdf
zm?e@&$6}zdjsE~|a+<~zoM?30ik7QJQ9%<ByK5mQ8uG}{;daZCWrFH97TXvXqlT7B
z>C0)|%?Kg*uHm4_PYQ#m3|_u|GEn6?sIsok8K}&MFA@u3A}?<umZd`rojnYz9n&u`
z{{XWpyVb$eq@U}l==;2Lzi7LQm&$*P$1d8d>EbUBFA<VgnBDy!!gZu6{@c;K6+afN
z;l`|3X?e#!3}m0GqK*pvzAwcXtV7wKrlcY{dRlg3u~%1fSV3iqsQlsM5FOBoPcdz?
z%yL28J200c>N`aaCLe=y@cw-t@bl^YGRI|}CXk+M5lqbkx_=AG`d!xshEb9^ncY^O
z*;JN7u`az?o!#~c-Twdv*(dm>WfYo6;Hl(Jlk~q)dx8^X)g5NlWUtnBLeX_LJF{!4
zX+>I<+WCt7e2e+&jTU;C#~hSo8EiFL?m0J&vKZK77>Ts~&?nHa^%qsJw60P<ld{r(
zPHv)oJ&5+zi;bGIG?f5&ji%d+y9l}|6{`#_cK0F7zT;T`0Q~AgLo|#@qas`#S*}w9
z;$eZUwOB@bkVfNZjpUsl^Zx*gYk%;%f3(TjI&ZushJdc-N>t`V@9DK1#3=F-&L#Yr
zw*LU!4a!g*3U*G+oEe{%m3P}W@RYxC-9%p|6#oEhJdi=OL&>aG(zPM-Jx2_V&TdVi
zEh^FrsI75+Y(ONMNcQI2m7^tM5a8p*%gACwxo;CA)P8I)Hn`Ec(o1IiEi+wdtVb*E
zUz*KF!eIg>tvh*tr^NLk(>Q02{BAx?w-uq`Y2851?(wd}=;Luur2Z6hNfXx0n7k5%
z;lPwu3O0)SptQt>R^4e{IsX8X+9E{z9;fN%;>FoSeZsWgKenc$2XMUa5OeY4kM{4$
zaa=rh)3=ZxJUu^&SGZHPd!bg$cB8QUSwA~Z_qF!AQt`(f%7phY*y6756Or13-Ni<W
z)MN1(*a4F8ji|2IlN_+wP{_eA3hO_Y_b>Fm{TV;x{{TYB*+lKG^Ru*^iHmN?lq?S*
z<6`a4L|n4Ay!d8z*Q{U8QrWxhMOJCvJO!gxaCU0|KGXVtW?b34s`ezUFHdz1jEQx%
z8uT$tf#jL`FQr~;kxgTxa}}}?UyCi2j~N7!O`W|*89inUm$#aH_y#hjTeD{!)+ZG8
zI*Kb(btE<-9G_LoJtr<{-_f0IZ8Q2a`HA^7(e`X&i@S{G4Aa_!kXizjAJyXXJ8iQs
zr&xZKDcd1zv6bufwRe&mu-$C7Na%&U&H3DN6BCyu*;42mZbne-eOYVA{Mz(?wBD|r
z-8Y8**Vm&qy*8ur@x!zb1a49bCX;EOY~EDU2)h>46DB{~FOmHrm?L+}$EdEyAi!LP
zLp@SHV`O|}tP2#kh=-H<?F^*KzE6T{4KRU=F6%lc@-O0eS=SfT0#KLggK}NF1-S`=
zr6-m%!*<nZ;I8sY9NlKejL_N`+PKAJr4|X6)&Q?olr4m#%y?uUxplNpUJr|DlqVSg
z*9nng*`M@oO6@SNPO4fu@<C;#jguM~T|p-{lE77rGW8|~v$nH*As^POh|QU+ELnI(
zjgL%UDCyOEQ%27W*z*z$;Wu@YK9?jqWwbBJ$asl=E$wsKKP$MaNyKYc@5$O4>nUg5
z-Sz1@Wikp(HgwGF-w<s$%i=;FIT+eeEArJ;vQLsJC`X1nS#go3er8`^mc3cLGa_Ux
zosg5V5?fAgwY5_5MmCJ=)8)U!OHWf1V(HT9+V!ItqlJXk-OEyVy}a(;q4xg(%lgIL
zEPR=K<hgP3&C<3a#mf&}&?f5qxMyX>=B#7KcXRf7cc<g&su^CSd$~I?w3At<!UF6&
z;qjQ6BBs>fY^F-RdX^uY%*q<>YAj@uC&iy5#YinJBaLy>zl1&<e#`fu=_@Zj9!ldf
z$n@m$&xpl)G|ja;ur@+nqBWcis{Uuk43N*50d{KGtLTo-9^LV=W`$Xr8KulZr@0|G
z%u*>`h1=l-kPycH6S~^u>yxeiI{yHN?Q6k*FIG?g01GHJ&AyGD)9DH6;E<h5F997H
z19^|b$uGuf#f9c4TiWo2-Zz6QBr1+dIoSL)?7_k^Nb?_$#k?=>DZ5Wrh}sL)S~81z
zc{H51n_BWA%Yox8`>HO?K`v3Ly@JSGKhou86;^@fm*bMR-Yp<fLm($@Dw4qimsD38
zl4PcuXft+WUiX<mO(c>S!5L2Sp0=U6J$Wff?_$eNbs-*8$aS5ZBH2XF3K?D39|Brc
zOM~9X)vz;L4|CI?^U~_sj=j2+n#2=?0=Yb)D{+uZ<I}S=d5*Ke6&twgAGv+s+<Nly
z2py8Ihj43HtwvwAZu(r7{4$L6_{d<9Wh81ecfVI|O9xT$*r1WgY>5QAZ?wn*n^}OJ
z9y!Wd*!HUViJrs&FT|hlWu!1UDJwWP9s0ZJ2bA&cxH~?z=){D)u^^01Q;s&9C&1|2
ztW}Hfr4P8b3?W(<J-+sty)*ThrEe+6PKWLP0Fvp9JUMdDVT%QG6^}dDF;Gn$b}*D~
zDe!pekC=ixS9)IETxLhEy0)`ZZ-R`wkkfeWW9eXqdvvi?Ar4ilk5=bnziXF@v2E)_
z%%T@%+fsd8iMvMZ(i@<EE}%V0(H8r19z-FQO#7*G^70IkycTS`$6{9}ee%o@_CULG
zL;iIuu1{I9mzr3xmglo_wTZ(aNLT4{gUL<cgkfs&5c8Jg4>E<GD#iZ*JEm{J)W6Hs
zll`V0rfn`hjLTl0RAs=TK1^fCNDr51oRLD%jltwSr+2I>c>=UESnikC<Rn1#GNdhL
zZtUK=TJ&W8lr6kR%j872=>T(kW+5B-SUiujmCxha{{SlB*^ve+ZH0c&-=Apz0PNC;
z`zK>0#184!zX37_g238S<DR?WA@;T{Rff!XDLZoHXa%Q>7Q<%NF{iT)QI19!nVc7K
zfuohBk{+LDuO0$A?l?|XD~neQ_xX89?nW5fuzu`27qkBWYyDS~vn_bx>JFaG;bp;E
znBGHQPYpA$zeSaVBa*4&uN{!g+Ob_cMKQ&VIaII}Ss60=d|jac&Ru&3{{ViN9AV^b
z+;-vv;LnQY+mBk=D|bSmO_Did$NuEv2g5Zh`;Vw!@dxu>Cw6Lm`qM^LBq!P#R{X~L
zetK=~F!Ee9>4^nN4M$&tM`$A^%(D!V4d#*(h_$5qUrVP0xqFwNUn{6;Pa}zOU(AWL
znSW}Xv!yLKBkGCp-9J)<O&f|o3#xB_haHlIUz58&wuw=4cE{Ul^Vza=ro`ptxffIC
ziK6@TqUslA3;bVPSxpyoGBuvO+S>lzGQwIK*Pnrfv%1FsNM(9a?M-#jlgLrW=PLgI
z<g6c29waeV+RYjB6|1WD%EFbqk9&?VYUJU!9RC31+|$^aDtd3#Mi-iLoc{pz36#Ij
z)tC3A3OKnhWX{r4c-IGIq{FxDF3%B!^gaIo9JZs^Evd(27MDKL&pXQ}jlY$o{{V;D
zXHV;|#r*)Z;9R3GDZc*zxY^ie`9ISeyOsjayQ*>wa!qsue^PB($rGoMoe%+&#wthR
zpU?asPl?FwfEZRoLk=Ft`E4g9188<G*Yi--v|UQdZlbXwn&kE$6H+-ab!7hl9zxo8
z_`@$Hm}iSG2BwZ^qm5cIQy0!frT(1dnpiV9*zeZO<DVaMUl;?qVk&Q13F}#v4llOY
zSO&D+M+n?t#(|A&NyM#UWSX%9#%#6ZWGIn8Hzx8RMEIVQv3$L}IC`A^UQz9dqUJFM
zm>b4kDKDNrr*f>E>e;c?1ru1E>`f<!_1cIYW37d=DM5iIgfScf-%GXeK7+PTKS5uL
zJ5*+<Z2oz8{{ZQafoNo6k4uXxvy^4~Hld!Q)+>Z3Byg0_M*M{93!?`D{<>x_la86?
z7H;r6p(kZy<zB^8mfkZ3UaWmriHbN`e`(Zm97T%jJ9Gvw^&Z0!f2b`emr<1Sor1{Q
z>KYG>x4ktia~(QY0mzM@n-gBXR<l(cWo(?!X4}7|5!wiNjT^%tm+^T78^7IIEKyhq
zDjYtK<uY=0(ia~7Kbr{Ivl})-@QD!=rsJe#!Ln>kI*bZ;itVgcHUXC>Znek`31<Ko
zv=`Pwq?oDb+ZiIS0Dwvzz_(E9OaA~qzb8|F+3LyDIur+|f@VZw>_98B4w?{B12QsE
zI%iHwEtAQ}7q}*1`?n^OdGy-;mc4cO@==4Dck=D%?dt)XiG6(_Zbap!BYe-p*AC>A
zEtWGQWMHvc;g2>lbncv%(UzItZ~p)b7ijSl_oB~QW^6OC*)!m)*!Z-c43xdxhokv#
z^w!AFR9%IAwfkMMgQ(&I%w!|Ae-&f)?@s*XlarHd^~j1BSPQaaaxqRfEB^qfF@$$t
z_+r6|^>GyRYsk++5mCE$vJJ*a>PA6YtPv~R7g5z1>^Fxm2llj$-PcOyDb#r_#xYN8
zx?#oEyv%xd=Oo3Z?*7ndipO${nVzQipk>X}-^=?=_Uoo19_%@~fK@V3NQ!nxb~pmp
zTf<q$uOyNE?M$l9^xR=w2Tq&Hi1?G}hw0zT!!Dl?T#4}YMq5?dtywKRvJ>euu_<BV
zu~`tQAH5=}X7z)X42<v=Hu>2YzMJF_LLTy4E*3hc<&7W9OH9n)70?)8dw;F)wlaD7
zad2ab_GURL#W!fAvgA<Qmb(7{aabrM`7f_Xh1v$SG^z_y5z?LJ3*P~kB_sh;JZ`O5
z?^kx>>wZJP^fp7=<T5lQHF~`D<m0nqXHpl-9g94Lj;!E0Ocn}U#F+dYY+!YDVYgDO
z^RpXV$B|^LNYriGh7Z-J5-LCu4DDJ1cXzu~F2OZ-ttb3i{GZcaj;8+rv(=pwCh)`M
z3IgK0%e}VdyP8igByOQ?ui~}0ii?{`1d)rIl8z@fw8S#{?_RF8>90pl=zdBlbp?7`
zbEr<`LP1f8F<9+1e@ct!B>6wuj5xB^<gh;>eg`x6T0ES-&+pOGzof;rzsE~ogRBht
zi!dJKppICihB+l*ek#qL%^q7n@6#KTmk~AtD%mQpCYhpn=E&iq;cFc6%T=BrwKI}(
z`107s8f3+#(Yaurmsi~Pd1)0XyLPJBZZOOwte@@GnjoJmBn=KW-#4B>0JCdrI7Kyz
z)m~Dt+-G9-Wsc5CP=JQu@pRHNDads8bkSVqpnZ+06qcu9a_1(!3+L<oy2J@cHfhxX
z?mbDcw+i%Gx>I(Zql}gEu|RcauXM^DbSw{Q)BW~bTU%&}+1xg@rLP#v56}544azK>
z4+WjC>|Kdii-Yvz{{V%V#tpHdg*KW91|e;xWD#&FH6qW)&lJi300#8%O%x|)PMyWJ
zBN@~gXM%gR=9XszV$yc>V$v7dcJ#(Kaw%!>IO;eoNNDfU?u*bj8u*ZPcZk6>U9w+p
zWvKBbC+abiyg7Q&+lo4NJ;&&_q<Wn?AogrWi=%#jadQQilM`w?BX%Q<BpNgVocHoo
z!N$!8c&#(E(ZytE{i!V6DW{9&13N2~W3&=fIR60V->3H9ezP~v)%T$JhxRC03nq)2
zc=hR}#TSN#vG&Rm5<jn;OS>ej-WrxQ<Edo(mOlpk_P*32?7g`<FAa>@$(8trZKEHA
zqab$5pzb$)COtbJFGyqLS1Wu8m2hWr;4V@w@@aOR*Yzjg<-bj?OYLHhh?UJM_Bg-1
z<YPN>>Pua!L%uuTtNnCMtw%me7+!v*c-~y?p&PjgC7K(2hC<pe`r(7%F|OJ(Xj!r|
z!liy?S{9wkp;wZ({Z%8`a%F$BHMw*xN@ye-ay)=S{G@R#mAPwFVlM2z*Q2il)h^3S
zsa%fu2yrKHHDG{E>~K(JBy)ogb0FA`n`)<;=(y)r@b@V{lpYvj<ePquupV6L6qaMd
zw01B+_3UKFyhlb#hZZs^tk=Lq3y*1M;}FPUaZf$0p1sbUlRnxb=FZ96%um~s8*kjg
z@8_s%X+!0U?}M}WH^jJ&Pa7G8rRAhAw8@K#iz6f4u@Aa}{a<Tuf*2ZS^3I#ngUGrw
zqx%iixzA}4&P4C0LjXwm7+N#+7t;Im#vc<BZCKE@EP2T1#Tbr?PAc`j%U`nAWoGam
z7l)Uo@YJHEAv)J2!p!FWWaG!FC9v#l%<d}(o;-21@!3{iLu#FSiLiB<G*MO?*(l%%
z?46RSN=ejW@y1TfPbl%4czE16$iL!m!}}lQ=<0v_J%5t&oLAEBX$_x<&dj~rI_`_3
zotZqSk7}ikF#C{ouqK*=8j`7sl%16v+ebu;nWp=1lf4J*@Fq^mC<<4#MeE1?dVQ*q
zuWae+88kTe+&{MWMWq=d8&L%yjb$U_Aj<5*<lz=M=NYL>QU3s%rpz-vQIu{&+LT+v
zrzO8mNDUYA{{W8`d>kK>v;`vw9BMz1<*mKDP3z@S#CMu1qX5Sl2@45>-Z-mUv^Gc^
zLo>U%a&;WLKFaM9yZp=P(>sbQCo|$TEq;Bqe={V<6^C=VBTA#Tb;}ib?ZG5`0^xJB
z=q>oV11QR#U5p&xkys~IWFs65ad+T$2wnV(qH#5U14{DA^jx*n12svfjlxC!;3n)`
ziWZTEj60+(_w7pE=uSBRYXUET*)1%N?PV?7hZTuwUP9leE-uf=U6<O!+w4vz&n|Wj
zRYT%$=*t;tljPxsYxSjuY<5?^(U}l~l6N9Q$%(lvg&@5g@b>L=<`;zhV}$lLH_0=)
zFAJiuWoq5&{k413y!LhFZDik-cYnYiNuYKdfBo$vi_g9o+och_glEn4URHFzK7@J~
zZL9}U&4icz^;T6C$uv1i<nLlR9Af0%U6$_4>q93s1G}9Ils`~;qW6R<OY#yTc}pLS
zd6vQ!BX>{9*sHlc%15(|firmj0D+ln)suZU-=nw6&;8z^;b>eR`D>DJbU^IP>znW7
z%s;q9JXV!=_`ik8`1_Y-?%kQ@=2lpB=)&%xu5LwIQbRXw>Q%3Cp~r+HlY!1Lf%zEm
zFGvsL1jv4BFw&DuOx@^V@N%}6MfPxj2uCWY5*yZxY%9GsKv2f@%6pN)45sr-y(jXY
z@MKN->(Tr=bpdwXm9gA**_b71A3K#8qaC`^{`k6ru*RX0-B<Y>Aiz*YJot8lDUa>U
z<jPOHd=F;cL-z0DwRHw8ge{jT$@ZNR7t-m=?FnUn@u<>kQuZLI{^Gfe)gd@>gW8`n
zY+$TUvP`@u{B+6IHh$zX@>V>IV(eWyL{u5HzMt)i5n`+^BYOc`BOg@ZWX4%qRpsr^
zN={JEFK#;b-jvq*lxH@1%3OWtCbKB8OnxuLEEcA*Eu!T5XHJ|@Nv9-9pHGgr+&jbE
zuVj03{{ZrtNg+n`?2mb-28!9o9lEl2Vh37hLM^{4Ke&2&yw_f%16`{H%DLPO*qMV&
zsz>fEVjzy4E~Kzf)sEkJq_Zz5O!VJYVD7;*eUtUY(QB^wmXW8&*2T1Xky*A?+P+*A
zT}ibRo!EuGS-wSQOKJT2kHETq@Lj^(!ozYw>BENpe*LUnnWTB7{2AZWMdU1YA4ti`
z1YAjgQ^VwI3Od5=XB;xCl-{xb0LlG3{CzZy_V$15{2>!GUP?4@b59W_h?H@^a$shR
zMfckxcaOIi88ZtLsW}RFURKn<P4)D#RYbyUU+tYs5ie^br$VHW+OR&(rL5$VFL?Wr
z-N`d3-%2TT_2yjN)ck?#<Q^pfa++4!XuFa%abS)yXM*2k-20^$P(N;@kYysxKW5-M
zX4|_bWbOFBph8kNwqa=Gjx!ptS{ZSi5yu=Z!Q6RAi|@!{UPwK(uoOW%jVxjIZ&rHO
z0hfgPcd1!{rEeiKfz)=6L)p(>4J#_xv8&=$XA$nbDxS)n@BE6^PMp8)I49}ePJXW5
zl?0Ab$vukr>YO7QBQe8;jsrM8b39egD?7+Og4<4=zX$YxEdjhTHIgJw<f8{=gzft_
z7h>}6PU=Y%R>(=R8f?xgEZ<F7fU8fn%f=eh9T{y847O}!2WtTpKBJZx=;ouD<+kqg
z%eB<v&5HiNru1}8r5WrW&!sC59L+G#ODa5ULR^K@D@zws-dTz$t1&b($BvQQ`DrmB
zbqj3~gl}5FJNJGsqB~Wi$j6n(mKyI$!5G*+uBT12-Bwu#p%DPzjz=o}!5#RG*=G26
zzR>{(raJ4^8g%EYin)&`IBa&v*`^l4jE`3j6iC@s-H9^z_a-QeAJ5_8bPi91q}&TN
zmmFj{3({Y)`Lj0gLkAL{kvH3k64wUa-?<osxe*t9h?<?_y%ezapI`Cs(Y-h6WB$do
z%8nv?=lXR#CKA)JSmmV=x?mM7%q9WJ?8TrLW+@xuM()gOxa+v?`fWKUO#49xauVMx
zbh?hL+Y_oYrpAm<rW-kPBdz*y4S&*PC2Jn=*ZzlEXYxOF-{l01D5nQ03JD+Fhj91W
z67uqRDPA(}IXn}TPgaRaK<`>9P34^lX>V!Q9j@BqxUC~(4anOas3fl>ZZ)NuV(Ao5
zl>m;kl?+BEkxP&Lg;MmDPAr{UO$#%CmlEo#ypWR+s<G_6yqsLn!t8sHiVDvhQJ-)u
zNHV>UIF?XaTG$$Ft(v>$efVwZ-*5J{rS_T^l3X@9qMsp&kS3#OqDO6+$0DT2h%uYl
zn<E3fQBYIYXyj&QPw4*uevj+)fie<pQMD~qS2Rwm-5C>rn9s3xGUamM)eL9)lO$4g
zm{%;Sb%U{`m5x$|96=bpCOF3h84P%dYfjDal(|dQt^NkI{{Yi^eWye5bnAL-73L_j
z08F7RG9SB&yuF#5F9^YRB=;o8LePhTGj?VxaX}r9rrVZILR7ke<5hFfyI07@Ox6NM
z>I@L(smD%eMXR!}3`aDMB<1pTwaxh2r!2EUO`})i7OMUiOyQfmnYjJH{{Sqq6-Z7i
zyc8K2*}qhc*sV!2#ZhYYE!S=q>aa;ZJV{GX<A0^EOl_y9e&${pbTau<%2;7{U6*y)
z(s<YLTlM=`s7ZtvL59!H4Vtv-<*hrs@-L9PnKGv#G`S!9eH+tDU+}k->D7<>7t+LH
z2eE|4wz~dq$bE}_vH9;hVd9$Ga-Qo*23(UHxX^{Cvz4gSt)}~VJabz@%uf{Ele;W4
zjX#Lhnb~{3Dtr4-2}@%owvZzej#rK)nX$?(ctC^hC*tfq(0HCH9?sM;yU%uA0~V8?
zp4%ER;)K3+CU0evw<Hw-ygFxFOojBhCtu!|9#0VPp0xaiN^LTVlSa}T0c72tv^7Fl
zhJ;ZpgsjlNqqde0D$K2Q3B_XWO2yRL^rl`087vs$3|QaWuc+u0jRYsacnX_~#Upc`
zk@g<QG<D4R&87W%Z8dp#W8x>6WYm#J)5CJVbdJ1<qb5*e`=b^X3enEPEcRQ3mSZ9{
zzen|d!n190cW`HBuklb8)Ka`^rQeN*X%vw7&(?XV5SF@&3>7+DbnX4sCyID1wU}60
z+t?YEdZijQG~K09xyzn`?JlUswHf_CujxBF5^+SC{8F^_<;oLSuHFeUwd7fu*V?Xn
znXZg*{<qsH^3qOEA-l%R%0@6p<;Fs0hV<;J<t)b7o~Ss_GXPI|NMqqt_^6?ECm7j{
ziERs_e-Zg?g@=_^$4cd1?TAFAaw@>lw#61QD-Jz95wFk~7B?8rW1faq?j5Mb&RYH$
z6x0Be_~MOe+0^$Zo;cbX@Rf&=o<eoKE>4(syK7#MN3(#tY$wTzZAnh+YC!L*ST-m9
zE)Z!k5Sn~UY_3*n?`!4xzx*2X+Oz)vVyO>)#BuI;06;p%q2%)tLh(4F`vG1gA8W;c
z6k@{iK9&a@b}e;mdb9Y0=}3jV#yo;06FjPFt=kJnN#?p%%xv(Ed)s@~UUFgBzuFi1
zL-SSUc-@7hcBaYT?W~l$GCm{A<kRUCoSjE%Mhi3YWd4lne~TB6T0tw5z-lSknrmAT
zm-jLjBbEv>{3MsgT2BnBkc9bcR6||9zY2bA0mVu=vU6FMG9owQr!wCn-!n%kaI(bG
z(~0a=%jG-JeIb7&+eP73#m#Y9hOIEi<fiOL1Y=T}?ZKWGl811AO@2>|29RHZu<maE
z0JNl!yC3R}QA>&Ukd$v5vVT|nDEThS3$~5pg#bH0mq5;iolPE=Q=8GTg~tv9FE6<0
zAk%t7{{U`3aTr->NHP(){-6qL;^WAz91-@~7?_K!;)(G;OKa_IZ3o=Z@gXg@@pgSE
zq~{5IBp3LpTW#puW!)oQQ!l3z;`S`^6fLDZTpli6v6aCFK>O42I2&PR)}xRhDS%_`
zHq#Rdn#XN|X>UDzXuvU2(At-@@x<~QlZqf!`D(twYh#ZCYc?BiZTlf1smsR(O&FNH
zW+j!a?d5eJnIwId_v@`LTl8cB$l`9&8Fu~632$sp#YW#Yt3QL06q`pbmQqcNw<dPu
z`8sdOm;V4hmVfQi>FWHhVCeVro(6lB!SWfp?^i0`n{?5VawbmTi)w{8xn`a?X~WgD
zH4%>&{5FruW^z=^;amA1a2h*C3c<%9G{PoDrn4)vHzO!(Fomkl4G?z(;2=Wo2q)UF
zZJFO93^U|d+TfCZDTisRxw*sIf9_Ha2kI>3<Bph_s87FZBPWT_2HtA!F#iB(8PqcP
z8GKiFa+)~o53(rGlQSHj9EtNGW+fnLSC`!589&8;OxsTjvoY`^yCJXCWYA=$XNxU3
zycsU)6WaQ6^7i3k41MRNE>@&=L@UiA2;5a}p2*q|$5zEP?98_mR2<YI&>(1Lj;uYo
z<bk+jC25o-a9X)SNa2i{F&PR)KHf*Jb2Z9pI}_vO4267>y@#3x-{(d3C-OlaoDKI2
z?Eo{NVHS_%GQ#9HqW=I8PmA*3MFad@ducm#2fsoiX$D7-2i!>ND(3A%7Eptm#{H4%
zB9_E+z~EJ}#cCO;&sbNTi}~>*5V#lHe{mj)cKOHjwX{v5TJ#s%($eAa;+?rTM&#%5
zfByjE%W0$9!$?xYH9bTTKWMhfXY(w~$axaA8|w{>7%}vyFa@g(6h3E|qwS_0i+r9Y
zaUm9AAE+IMAo(lOay|1aF>)MzUf}x_bsR?}SGf<-2ZsD#(flX}lg#QE-QFtuW~s?d
zTY`w#OB_*<%1q8Oi>VEkP1}tc-Pg%L(8>6^Z^ucK{WBtdEmn+S9I(X_z_%-%KNzyL
zH*D`0GV75RyqWzQlO~-x3O&2@zAeCM{^g#oum1q$%UhTRE_YI6Y($@aztt+7s_TJQ
zf83Xlv{SP^n-3r}M(<|F6=GgbS4rd%8+M9Up&uj_20*ohB{gXwciSNnC6C1XGa<wq
z!+|dM29{TqGGQ(*KNe*F091T1+AV&qEK*{vh4Q^l3h(ZqjzY5(vC7}P{{UEOAaPx&
zRP2P?E+;Aojx{%V+9=PAvo{%Ek+bP?+hgQtW(-tCYa@q_z*wMF+(WXYoQ?Rp;+eM2
z$)8FxV;F55FBHKr>|JnU8F6oB$4qqXdXd?oSGSYF(XV2rY8a_s$2`}<yF|D<s`cJi
zY-G_nR4qf2?Wtw<)@fdXdmTlTDXake<+#Q%*XCC5G%JZ2NgErT0X16HoOxof)jGXq
zdUDPd!8a1$;Sq3>IJpao9|}1c0il_<6ug=eEo2?!M%-m7OZ~A1E=g68tw}{B(<+iZ
zDKY`2T3+x;!ZN5Qa%h+<i0;FUW*Dzk_XBqw#3GbxT&&S#DqO--vo=EqW{I=2AtfXC
z0AESg)Soep{TWI8{TXeS6|FC|UcTB&+*ck7Z{0x7q400UC5*G%xpa3}J-`M0l(3wZ
z%4deDnu0D3N~7DF7>M5^V@;ALIR{aoEy*MJ5a77-VSNZXtoyF=v{mg(&Pu_xZ1}z?
zTd~<-U9L@#h(+=+b}cv8+R}BU#cR|0sUOFWC#=oN9VZ<D))s4$LJ~c<jZwUI8pZzr
zW)kJd-Q_8Yr|m<K*~|Dcf62WaH`~Rtw;u@Z1GIQy;<|0QMUjEk4id%J_`4M?H<oWH
zoiXWcjWOwAFsEvHNHNgjA$8VL@Wj_1QP5|2r_l~m3KGX4xEH1hHagjiIYiZL{^&bO
zpAX_%GmA*gRw-+dL;Z}JM=2MkIJlf2Q5v%qUd6j0XN|TH*ftrX%s0b(TU@<9+uZIi
z+bFG5cp3;EN27)b>)FFSbB`X&4@@i1)PKID$Gv!hLN>J@2^;IDi@RGbL~cUhRnDZF
z4`NcU(#T$6_R)J6mZB8i5cqs~^B6u)oPsXt{_OtOO!e3R#Rxhv^6Y`!P|dc8-UqHs
zN@*GZ>AW;?*M?GxSj(16t3Uqz)pa!_aFmS}B;{#w@<i<NS1`BV7pWx7)g)nyrR>g9
z^lnm<$J6-?lir~gB0v*%l2=VkoQ?(*Oxo?UrU6|!ZRzC04_a2s^bK3FWcq5w8AwPU
z(0`RbHI25PY=Tb%CloVjR<b1DsD*g3V`D37>@QyKHq%Fen#G%J&@(FJAwB$HS+5(H
z85`S3Tx>^<t}xcMXbx(&__JD+)6dxqg~8!sk8o?xYaVoZlD<e^8#GP-0QBNq*yj3L
z&IWj3mS(k1SPPdSLjEKETGO(Z{=wthWv!+Z-^7$mszzFzpKe@~1M(peL_E~4?(mmt
zdglXID-z^n>O5-z1r=NwnDrER>b}<$5;Q|Kc^(%hdE^EFvp`J0<6LwzZ$q*N@WPpt
zANAdlhA-r!W{w$M<+ENEh6$wGx7JWRWj7?`F3XULB3oN^wZBM%nMV(5xC`tgXpm$y
zzg8zv_b#hlKgkDAo1Qxt?Te{t^OD9gL3k;4V=4StE&7-II`GJoEA&0Rix6%+@b=a>
z;@u@LF|iLZ$Gh^#(Tg*W&0=K2WJ~!c+JYG@$%pBvhB1yR!DwG2V;xVm4_`~dI%B59
zx5exC3StV&HWlaeb%k+wYnZradUMEJD&!fCEhbx-)~fd3C@l>=`Sfq9g{f<oz#U~J
z{{RysPudtZ&Y^OplWtJ!@O|maW5lC*0j*=Pn~dw*_<@9~QH_*C`<a$aUFL<WM*!pr
zq_F;94|Cg38Huc>AZ?3xDI8fo4f?Yhj1MU-=*GPQP2uEB`dEos%ykSlZFl8@76)lt
za%+i3oE@Fx+q`SDpl=DjvC{CGNQOd$26YFQ#(eJPrD^g~%lf4%SbG%l*?Kl=NA9KG
z$=)U{ut+MEZbgr?6mfUjRVNo$aZ$`;hm6`BBq%T-N?w<&Nct|ZD}5tcv}aSDi1CG0
z;AsI=H-cQfA+;`h2KB`<Z@O*%E|(P~ouH2-Q@$e(_R1V~FCIA@HF?4ewX8k+vXu8a
zR<PZx{@9Efd_{0UfeDmY+f>-$A~vA*A;x3vo<f#Bd1}Xrd1MS&#3xv|%Z;*Vx_V<r
z)3dP6fRKo~bdB(JE@5uuGL|l5?sT>Mh)dHMO62sinx7Kn#tsh8rw9GVLZ$xzv6C&P
z@`e6m6Ud6Y#;e2rH1!G8pBJuNSMwUb6S(YBvGE(W<{H>+fZU_h?B3X{YAk){1Bx=9
z{m|nC!bd)DBI8~?CfOkcGw7i5kL|yNF01K=;c`(jm-s^-?QOerJ9FNe(RU-e;%N_)
z*Tu~<MTCr0bgPQ?^^sPrNU?B8=Yy`uX$V@g;etPe+vM<<Zlr!{zZPjW!axn(<g(AP
z0~ZX0tRmh-{Q8ss0K&=BrcXOur&1QTXQ>BQ;VvQ3_V}D2PQctPSFqaa?w)L}KU-$`
zEPV-bHgKIG9wrE@dCSkKv3SvjIAh}vT-fg9p%0EAb~dhdn$S%(oO~3jRlU;mEi1h(
zW(9^BYsFf9xX1=M>@ySh7#|81tcPf09OVB1vi@J!mlZ_2kwf);XYDkW0seUM=T9#m
zZkv8iT!uSx!Z_k`nlVgn3G8`-P;<?)hR^NUu=|tCvuO+QEM2#fC@wKSRx~lh(mH}+
zW2*Jzsh2I){@gZ*J{t2%Zp@eR3>fO=$sDPSKzq#PB)VEqM#m)4vooH>$Haeb{3NHT
zq~z2o`{?P6d3h@o4ECyisCfLFbq)MP*mj?)%k->OLy&QzhDrdQ#W!)5t2{4PgR}(J
zEA0r(&&I-vyri0ul4>>=wzS2Tj_$JkO)X=_ReJQwCMjhGl1|%^^$binuR(t_3B95>
zQa>i>oJ(8I+kzJc7HoG8)mtz$nX8S)*F+Pwi;zhp-^Upy8&y--wg{|EBjZHIr%uuC
zW`eg2JKB~v43&a<b>}w|l4&CqWQj@#D9z24n=dKNUKpv<%7isq#Zq}Ap>Qu_Da9vJ
zh)0o8e>Z(7A8KFw6n}CuY;5rbdJ+_rF#Oui8Qf}P?LbzmKCf5uA++0#*z}}+MB8;7
zGYYB!9e$-3It+#QNzswL%$=t5*&<UJPi^B`(vQHG$^M&2e~7N<5HjRZ0yuk+<Du@^
zvHKwfrkIWSDgF>!C!W=8SVRLeaC2KsdP3~#-b1j8d94)~xID6K;f<sVG#i9^)5O5=
zNW01bdj*h+%rZT>?8tI)Ym;+6dJTBebpHVGGT)>6MP1^x)3kX>)YY6aWPAswWbB;_
z4Jc&ecx;S>3cSN|4yNhJu{L6etjW?nKNcdlKIs?2EOiNQT__qg1N=JFICTUK$*G@W
zy>a;-J*ADiRsu>pcBL>WDw8mVlyJ!ibq%gK?QvZ;`m-grjb|le{IM4MMkThmTWi1h
zPOt~uhpMFETj^`^{_8^Vjd__r$qW%m9MO9svvKY>ZKDf^qU74%{V`TvIRLnpQQqbG
zhlIc!%7i5qY}ocFKk@oa^~Ex|VdrKoBl7b;$GOEZZ8P#wkF*)2=7n<GH^n>cVME-W
zM<p-?hj`_*Z20Kri`WDqZ0Z45l3ewOVUkJiNci_R3|P8+QniPbH5-h0o}U=$^rVFL
zx`x!%C67CjWZh4ER9#Pf&~;SYORA1GF1zAK)<R`9+ZkD@X8o+yr-Y}HLzQ&|FD?!I
zI{H}Io$I`>qmh}4Rwn4!rk5pHO=IU7vANh<7{eT8lFnCpxjvA{jT_JelMR3paS&uh
z8={u7>JtvvPK2G@XCTElx8lbFX_%2%C=ggZb9Yy=hXF;0%3MR!6IIIJllLC8c1*?W
zQEtg~5e(NllzVpn0Q!lSE=n(myZPjSF=*`+(t*;u631resUTnPmR~P3OC_6T{h5e=
zO^}tCN-;S;8%^aD@(W-rytTTF^-uagu867a@$!qvIV%BDtPafln49fH$=^$s$=!1J
zij%`c9Ed@MrhYL{gS4_U@l?y_Av-<U-`m!KyRyibmoGidFYFm!kX}lIwa<$&X;+(U
zQj#Il$ttdUL-ckhh0iBDsV%>DXVfmvMq<CT%eKylG`_z!@}I)jpyGYhRN?kP)wOup
zf16d8wL=GYlqAhyWyg$>*rg?RjyUr5t8`2ld*weejD8YXi&!|qIOBzxZ;ZWe9J+_K
z+5&{xVrzTC>_pXuDF%8}hOpeaE<;7;AJbT+$Wj)qo(@fr4%M!k{{YLg4>HV~cmDtp
zeHAO8wPsH1UjG2eb<$ck>bbXX(f<Gz@KCr*Q=e?cQ#A9~<sL!BtY76J+4xFb$MNeK
z_Rfe$db>j2`q?p9rtC9Rg{E$>JxDBxlQ)KC#S#xCJLwrFe<Dsw7Z_Emk2(1=chZfv
zjr4=>1X4#l#mWq^y9n6lPY-juQi&hxRLtX^du=Iz>6t{zX?rS6pT-QlgB=O1&lgTw
z_Tki7F|$%U)RCjiOd=gjd?Czxkt(xJzfX`9P;n@C9CvMZQ=8YV9(?H(nc$NZH~qet
zseTd*v&kFj#n<|8D^_crRbCq})Wc62Sxfm#<sstkb%nU^X8H!S7V_AMMx<6IibslS
z?7Q)Cl2DBLfV=WwXK!mznk;Ksj9=Y>uXhnIc>|`k10uZxEcEj|mbaX-m3-g2yMAi&
zSeoN=ma9b#I7zXxGk&Sn;r>_J9|(TK>-z}KM;t7%*B{)IpJk)!Fs}<+_th`~?;*;t
z!H~%1YnCVd$zLHxsf(=D9(0&o+_og+@izvm)A<0d{Yft3QO5EfEt(80HZ@x>W$jKe
z>6=9Sc&L$&hHZMc)Q!zmt)Y~B$)QbVC<iq#*qhz87kuxzGnc&#0z!++zJ(RA1T#cv
z<Y?5{2V3M-ej(gK{F*8IPd&ci_g%o*+(6zUtv1?0<`N9xxEFK0($3YnShX876l@^=
zjrL26J2ZPv+J8p-*QejDR(5&WbtPYOQeo`Lk8bS_l(bS&qbE4vb!xLrA`M*aL^kR{
zS)v?{OG5=4R%fAC+E+PBY5wKvv+n2dbxQrb&MahD_+zdxvxU!X`?sff#}|rH!V#{{
z?%bHI<)?(7CzF@Gk-#5sBQUbNCw9l>UfaT>y2jU^m4(se`?<63WWO?4+r5Lj9%-Mr
z7ola2NUVZ>>pZgaKf~#C?n6;z$J<h6PCn&~RJ<VSSsd=`%Z`vgkwx_F<UA=w<aoMr
z)u|h!+N@;^a1qN3C@Voau|u*FS1@dNvz4%BkUr?ZFjBC8;N*{$YX1Pk3Ul`1la5C%
z0jiW*5o>i*+=Ei)dv9kgERTh)@8heED4MrXjVLQ}sfx@%5Mu`iZHpo=3u#s5!xM{^
zScZ+5*`giWwoZh;SFAHBpJZM}R^un76L6Hx$<20otbK!{T0<!%4Z6gOmSW9zHPujd
za-A2H{U<niriA3oJE^mR!a2xZ3prRgJneG!0-W&T#>-;y->cE%9&&@Q<|}fsnu@yr
z0CO;?vyUqdT-juD6ImE>@%vodEm`HtOOUNoF+Ui(k=VV*xtFZFk=q8+(qU1>@rsBc
zD8=&D94OY&O<snG>qi=}-LdI9az{owFEsCqcm}Q>5Qc^kz%s%ON#BIiMYeMIi*iQ`
zfLpxwD>sFVfQ<>Xc$uxc(~c4p+jru^E`!UPu1TGd@z}SB=xMq5l=!PR8J1HiB=c6t
zlumbj^KcsKk2yj+M97$3WF~!YlK$M?Gi?AMABWPd6C2A23Y?fw7TBkAPq$IZ;?UpX
zk0>hL(v-SV-8wVmtU)cum$*jX6J*Gr%YC;VJh+)3FGpk}wYB}ae@gA<X4?c_>aS2z
zdeY(K;cE&nkILg^c!+#7MaXPM#Pzf*sLAQo>ByzbS*KJXX$yk~?i})VTERV={V$H}
zM{F2?Yw?;`I9-*PLJI!o)c_-D1)WJFMIJtrK^AKmHt6JONsqNe_}|LO+r_(oz}saZ
za$ny`$}yfsPIrAZuf_cOLuL4hy>pAGIEm+gmCNN}+rzW^GH)roDwB4n&&%AQ{bP%b
zxL|XOsDEzH+mrkw{vy8E0m#4l$A@<OaEx^_l1@cpYX<RBmT{p0l(6C1=wCPYun-Xy
zFN9ufl>Y#-M8!tY_i-`Hs`yZv#cYMI)2-v}wp$%gF&FTCONyf%hsVkaNT%D@vA&(j
zwiGDkYg|_>)C&P=st4#YN_BGNE2uR&56yJ`CIcBO#dK=KSQzr8EUnntQD${){6B_f
z<krW8o|T{XT0f6#ZZ*YSE+e&Boz)X)vN-bZk6kdfR*dpgw^qcKqa)E12^EO+CwGxz
zq-IxofL<x?N_6?fsP8k$5rD-H8O`efpFY~(CUNBQ*a(7rvsk<Z?W5Z=VqqGyu$TIe
zU8StXxwhV3Eb|fx$)2I}wU-`M@%5g26;Ei!Hv@;iV*wxS<ha9<A`2ie#uFXpC7iOu
zMx_U}Hfn%kaa<ij8h36LygNIrd}I(@KHe&YaV&kg8OwS__GlYSYg$f-Jb^HcOWnj#
ze6I(`CqEdz--EM7E5?q%$k?fPm7U9JiGXa^?>y1=-9Zb^V*>-3Xo25`okuqXEW2k8
zL)z_wGYWR@ut&rQUvC?_?XaGWnX9=EY(>g(?fsKCoinFo5Aq@e?AtKXaa+>jo9)y3
zRq|*};G3!GHHz>TX4~r2ROD%5t8gc1-?sBNFy>Laym#y2@iF7$5!22NNZYj^Qe|2i
zc*@@Dcq3@*&fW$tN0JUDDEBMK!(Dg*mAL^6OJhx<9Y0=lc;qTX#uH|4xa0o-;?~wW
zUco~N+nP*t(I~_B@7IJDzX$ZvVopo%@rk*V!P%2*YTVu0KT50dvyFYhoS(muNA%x7
z{s-=cH@yVWvgz?>y-ID?IsqVF>G4H@mU6{(@KX{2mbX?@0Ln#BP7uZ%6)Ok%Wc*r)
z_n?HDN-RWB;Gym;<Qxwc@KvcRPYs+FDru&(Qb1Ghm&=@Yp`|zJ(vk*vC&E{n)vUfn
z@fGQ0YfClu$B<&N^kchPr5J}bimiIRK8$+v^(IhcX%B52!yI#u#LH+O#qrwylyAmJ
zesHpmL^_sMc4b(3R~f=9xO)v?GCdz(FE&%7j)}2J4MFN@qbBM?wto4=yMF3@$T=Dw
z))79WscbueZf1_P1vWydpt~HT<iPXAritB=>L{{zcvr-;&2Z-ALfnxO=HWL{{{WrS
zLQd#7?DgwUT&0Mniqnl2#~&);Au!sJqbyy>p{IJyTQTAc!AfB2Rn%V!T{7{&eMgaO
zord|zTBUwj%HAf$*nlDjl0dK9tCub~oNd=UaiY_^d0W{5`6BX-_Fu^XX;tJhw~&?>
zlzOKd*cWXyRz-HAm71gS7J9P383rjF-g}+4GILN?DbQDH(UIwJ(?!UfbS*4goMI9Z
z02OLRbU(P&t8rq5JP2zkDr~qq)4Mb(NMw;68KP(UXZ2x1-x78t@*)>oTU+%0sJA9|
z@gQ<f6Ip{NQR`jC+0bL;<u%HdF~y0>4bY7AtU@F{+kpXa6UqroCGOODKBQoIWs>Z@
zH$Y+qE4#d7rIdGQYX1P$6TOVfA2l)XJX~+YO`S>MuUX?l({Rn^XYUu={{X@Ls#L#f
ztrDux-Vi+JV}|$t06jAipC<^vsTb{kQNE>uc8d=w_a{XAbPJBxN68(SdV{83r3_U4
zi}a=VL1D=>B52w=@kKXrL#C;jqTc4DF#zTz80q1|xq9LJu`=*F+8ZzXb}?lLPih#l
zm1x=2)yg?<1Wy}Yd$OBWv8V<xIVwHd)~Ee14U*X`RjB~-weneE8E3CE_opHrO#nMF
zO{FG4V~-<yx?R>MbMo@L!~X!xZmtgE->nIlpx)e{&3K&SfBGqiew{NnyM|(;SN+dz
z<%g<^cnp+N!g1owf|ePVP)moSPu`K92FcpWWbqYl*1OTT$rU^XI*fg33ww^<-=tbL
z$jNUXS_rbZ{DB*^D<zPPhdFPPP?@2Quy~SPHzwVe`M_Q3PakakM0veDSjQA^#jevC
zV8rd9w~!jD)<uj)$xN|>9cf~_6D^M!A7#|v^+<Y<iI`XlVq)S{^5q-Lc5CH6AGJAG
zcdb2tb&bY9XdC%`6mHJKTP7Fg>uI!_Pu!&syD_I6Oy<JU<)eXhCQIMEN24$jT%2DE
z8D4ybErvKtOHB~UPDN6ub;b_blz(Vq?hsS+BwSZ@*)`S`A@W>_1TIcB+#0CtIBj-Q
zM5C@OyCS;+$-$IS=~}GPML725clk4IKZX`}TTDDaw6(TB4&G44iGNte{{R@D&b&eK
zm#cAmP?13-62EGNkhxavBgNXGd@aNzq!Q%J#4<q+GUjJIcbp?KJbfp(Jy<(21L<#+
zg3B=aV%Sy0MYyXs!bsl4yf`<2QlB*;J;}P~68Oxd=JHGZf5S?Tc~z(!M>x<)dg)!V
z?C$>n^NDDVsoboYKcjys?eOXGeX{!}@P%(n6@2m64>4OajJ*%CyVKcboNEryvdEFl
z_cHb|2s*UfCd)~Ax3$#v^&TRZwt{EpC3!nj<OSflm8|d<*d@o2OC8v~zE<R%aujnU
z3P}CS9y&zWwqEWUwl8%yIN_74vBxN8;DuJ|n-WLv<vA%@i;G7LXfBH>F6~G%$kP^|
ze<t$g+73F7H6U_?yceb*z(M5Xh~3l`nhu-a?b6<)9`%VT0fs&6V%5A|EW>p1!BQqT
z#O~z%ggNW)l(ZwI(@^_--GOg)Enp+|aW1&WxJl!E89?QqtIouDjGtUrq!C;j_*{_;
zZIYLh;Nb&jad_=ygbJC-I<+qoqbBFdhi?A>tt!W8>)A0uql=51Qx^#{5;@rjY!k&^
zSeWIWG7OZ96>aCQ^!-CWdR&ej!njhF!C^2ZRI}hAlZrPrj<!|H6;bXY82f(ZqMFX3
zx69;D@`acaMe@_J>G-?8zxi(xVw-1bz(B2K3U)CmUfddF+tw<qb|-*FxJoig7NIET
zImuRlrYPX-fVPvjHm?&iuz8piu&E;Aysjm<&xppwV8RYD13ua>99axIU8WT>AGo92
zaoW#R?OG;L`EENe0wCW%rLCs$xN<JrMvh)fOKPXayCVKDJ2aUZ&1R-jq1BfiCdQrb
z)2@UeY8Zd~+pwEU8w#EK5ziRkwQiURHEvIfpww%_IL@5>$NZUP8=ah_-JD)3R`yLJ
zMP7_t0#B!qcXG?fRjPYH{{T~~#(16Y{w5w}B%Oix5<mW#Z&afb#>hWCYw)!`@lEJH
zjDfbKZUIQ8_j$U<T3(bb&5y9)_HRX2JH1#U)-#r@oyMGp51VBy(e~#zy_c{|AdBh~
z_fUDWQ--C)$=`cW!IC~qccH3wTDZ#s=iOhYN=22Y5!kEJ_U%Ci7q@>aLZs9xW1{^g
zh7!ewi>4>zHa^2oCr4bJWIAghj*d$b3<L$J%lALBeWU&mr~WfGrSzpI6LMPA)*)cU
zcx6JX%TEnZPDz;9V8cmt>|&yhIILWye$HCCH&EmvnV((Adwt9sk>n@e>Xy4+;o_~U
znCyLl4w|O&W9Vb*!FIknXh$D|tu4twp8Vu0(RURY`)c)q81eO*%(@8Rynnl1PBLcy
z0Q3ENem#g)9w7*!W{92sQ&a<<7TZV%xT~?Xyju|BYL!T3mw;A>l$0>iWTeXBnuAN1
z+?S8NZnVEK)C&u8IPvn|9odB3rm#Y)?bC~FTSv4{<6j;;mu)mE8%<ptlUkAtUx%e%
zS7C%}zuaNx0}~avX7;7pYYQzHf*NHhSEkSlw}u`le5m7gA&+e+Z4@e4(9+~VLufH<
zPYoc5S~22d!EDLI7d5@9K`^MxPS4486koCim{d-;$b@vug3|hFPm_x+IuP1xaezf&
zCSv+HpOAdlQQ|wT3p_GO7rd*}nO!zsn9U9{&%|wu26HR}1b+(hzTXj48JW)|BgD~*
zZOA+@w~JB<UF$0i9ZYOK*0nn=IoZlXST1!8)(R^Um}BB`R`RjHy1K#Uaev?ZEb08e
z{+oDwQEDkS&wRfLByxk$R?{YR2J9UiaJ9_VIy{YRJO_@+)v==LY@D_ygC8>|#~U=%
z?8zMU$P`%u3~oAu*JG2o?w{iBTpl|R+Eyq4JsWZbxPOLHf#b56SZLA4<|x*q3>15d
zwb@a$R%Vh;&LUc~&63VcM^gzkfW_c4E--tyCEjlAnOG#KT}tC)IY4V8av~_ZWFKz-
z03-T~>0E71=~#YdZZAk)do~QY*k<lWa!3yV8kWPfLmYOdMMCXHD>J*~rtOULzbKEB
z!rN}1*x%-VtmkuqUn~Ca239(V?7gZsYxK}{OZJB;?u_-kouy>?KRr!}7oNrI4{pXj
zw`M7eL3Q^qn#_5h*8z4YVGEH;P}l>LxY87QkxdgjK<p|vh>@IKvQyj`6EWH>A5Y0}
zs?rLO*`hLzf1-WFn2ww}*-IS(iOR*5{{T&GRg9sZA6FL$*_!_VNj-3%2SVt{(NN7t
zHPTYiGlZd-TV#4-aN0eJ8I*DRhiXv5yMf&0@{-4G>`UD{QFg3z;;`k$&B--uA2)5b
z_N)qL@#WC67t$ir1e;FVMW$W0HyAXTg#+<^Y5b@1hr=dh-*Ps`PJ`$j#bz73SlfZu
zJ|!SHsKuB^%Hp5GA1Z&3qYJv=(V~%DYV;$Ag^{N_$nM<Gj~9{_k+T?gtu1*wYB-u#
z#@zRn@|2GsJW(~6Z9&d|46DQLEDd*<{{U{JWL?&H#85WhA#2&y!oqg!bp*q6KXT5Y
z48=+?QYbP-Rw^Q=W@UCl6zvqxD@HV@b}J9){{Z`&;;<m)Z!hw=--j=Uqk8`USjcn`
z#B!?nB8luU8n0!wHBhlPwIXbd8xg9}PRi5{XI~m7H?<r>N!=Uylj%cdO5`~xC0N|y
zQ?Y8W967G!)-m4Z;WJaKTQQM%2c$9;CX+XnuPNZ|RDyiX+IQ9pde!2GH%DKrgS5G5
z*HYudFBKef;gze0kUHfJc&$m!NYnkBd}D75AUc!MtZ%R9CNs_JbN=<0eprliNmi84
zPULo3#_o7&C+i|-t<*(!JeEZ5yqv%XZ679$@b*2u#+<)c>g%j|nCr=ASijTGc-)p6
zTNoSt1sx20bi%V*wC?grwK+49mnm`6v=#Bf&oEtzH@7DtpXDKVSwE9{vu)|pbQPU|
zVU`!C{{UO*Pw<jUQUV)@@5wOMs$}?lM`^2C5CEBpb5?_t8H+Q%LWfveqEtWB7|r9$
zWAY&{PU48{gp;;27Syc0p8M3c#TQoN0+vWyMdYMC3LQv_50x|a^H>-qcd-Dm+y_P7
zl}TfrjD!U%i+RRB@8l%oVoBtf>x&Fp`3mHjF?k}|idH~=P4=T?BAK+E(+<{?53kx0
z(`lWh7DM;V*<>VlfS+;zwx^8>)`-!0cq9WmtU3YOZ2*~X(<hAyAix{Jc4%5F58-)#
zNg*2nn8uY06(r)+-JrcRQQ3kAdPgM8@)W$E9YcgrMA1h$_YX6EYWD-F2u_Dm)3Dj=
zzU(piF@l-cCduQm1(AkmAPGN7w`oDrvqIG?+KC=M5_w~*3hP^DSf>8~_zY3JR`Zes
zw?78;Z(rna)hcmgnmB3N#)PbKO;Hrw6+DiLwo)cn?ngVxU;-+E?oI-3<?V{!ouX3s
z7A>P@)Nwe*A;DsD!yNHXO6eO^sIuKf6yQ@yG_+s{Bga_o4^6*%m8$PNGfUc|O7H+4
zSOtEq8z;^~tNAZ-ChqIx11qTi0FJ!N;9^C!k{?QtG|#|5BY{IR*RhhzO7^4<ZH^&2
z*&rZzWg>>mBR)qXjICOoIi5UI$O3?Q%Nw^gll+RW`?R<EhHimb%g@tx+=O%03n`hk
zV+eG5hH$x0FH%15d9QN_u`gVWwcdfhZkW5hOh7o__=!KtU5niR0I8YXe{j~4!D6w{
zLk#rT704KI_`EPlOSW*d6-voncI6E1WDch(DOLA!(8onY3^@!W;`PP&hso?%Xv6d%
zwQj#l)p51anAwLVhp&Vh*`99)Qr9AqwR5QsdMsQxOpR-mdd^U>X^)FSURe1^@27pU
z%IB%9yiZ+#*{2={k*w?u3CaPvEDvhVIJ-|~e{*Mxu+kT0tvKyJf@0e`VrAaqaolHc
zlbe4Q67VZqPTFO^MnXFDW>OO=i-Uyf#Le5c8+W4y5j{%}1^qB`Qx4QHG$TLmI0qJ#
z`9G!pps$vO>_JU4HK<B5LNB3Y%QsjoSFYa*61=cWaH6-Bn`I;XaM;(HKw)%erVqT8
zu6M=uJcbF{-)sXW=NLiyj$EOR2z|p6k8I6%hy>GESv-)|iYO<yCs5J=!GG`h)<1sl
zJz6@}oA7T&_42x6t6Iw4j3rS`COx8l@G(YBl*HGWim?LOg63*QIN`+u$6D-e2YSbJ
z*$?qkKZkVg`hy(TF^n&>5@h_unq!h$)S$By*Q-TDGG*>%CHUYE+ta=Ks?)eqmU57s
z$#W-POPh*{*8;IOaa(_q5z>*+eR5adV4Lr|BQE@lr|026RNkpPu-NXrr8H`mSCB(w
zc-{X1&uoEFwLOQrPbSzrsG}Jsf(APnh>GSyv%Fb*6J7}d-cm$zWMpV@R{g|QvNF#l
zi!sG-8f_Kn9%)C~*G^r>uHUzahq%*fD5oYRXggC`9#B{<!o=bX?y%8F^PHzFxoNiy
zb}e$RdVbDQXsb2L*$mQy5>zToPfpxCh8~ut<N^pI?x?D>CW(cmv*DqV!@*sm2YofU
z*dxkZd-lnmB^;#6Ir$OJ-NB3ZALjE%#V~PPP?M%NIR;pbWvX#iBq%0x;`SanTNx0<
z9p;Gc3rS*sg0CKwV4)8$_q{E0LR?WAA1c(2#?z1$FPtK6#xmLuw)-Y_ZLO|JjRdQj
zGt*hPz|v$G+$GwS{udzbyT)Rn*+xUB0p#+07+FiVOe$FueWq?pr}8vvK1U}N)kmm?
zs|QiTGmb_Q807<N7Fso8$0c>UQ{nD3SzA#T>OxO4t6A*J6?Us%lK@@4*a+p-OIAa^
zQWd6p@dHRb$Z5O8_zRuP;a0UV3=`L8ifI&d*_EkWS}aLTD^>`bsQ&=Sq+`Ut_FM9%
zTrBl0JS1P&t9mz-B#gA!3}IKP1&-_v-LzmX@=Yvb-2*#(&Q^Hlc*YS@$X0J+?t8h2
z0zjS~)Y{jhqxvLIro=z9i!(#9JW(}}mmXrO(QZ?XfG~o&#?eDU8l5{0m#@>%ygfmH
zYEZvT1=%3zN`{}Hal+E{jvA86bgg2Ha183)H8J5*iCL2?^16rU{>SLND@5Iw_1m*x
zv2ACk?R4&|!oqEGv%;%Ix1&kMr02okJoJ-g%PEwRh>S$l803;z7{-2{KHgP;TPZc_
z@J;%iWcgacrOsC0P~CfVCBKle6K6`kD%52lQnM6P{{Xr*&dSHrYVhT<5!X+7=6f-e
z^{O{GEIaz+C7Zeg@F}tm=(0x(!*2Lhz;us()?yKce03JMv)GrYt2U{0^rBQ+#0;UK
zF{a}P=;Uy!%!G7}*heLhW{)e4dQ}<BLT@duEnT?CK-)23QJWJSLn4+R-gx+_q9a2A
z3~|<ZLd+b3-6v+O?n_M^#Ulu@?KynJ9%&<mnY?n}7T(i3--0Gm7mnwPUS7RYvQ-VL
zQ>$7_Ld4>RHk2ayBl$FkryfLv9p1G7u%{nsKYMLz&Vu#Fa;?olCxg*9(s>1ht%x0o
zTanrzA&{g;A`dCY;$LV(njJ*M${U9XzDtufNy19Gr{fNF!9#!Cu1reYT!!(LDeq*X
zyHSPQu$bRz9E9$38k%RbZ>jp8I?zdONnhVez%m<@cI6kjc%cr0#5{)5NivEpF57MX
z`&xHdE35-@4j5DZfBR1Q{6YT!cQ6yUHkSQam)E5%C7X|9qpR1(V)5Ws>eq*bnvl9F
zC4`2+8ZsABILxF6jIIOHF7s;}8`zH*G*zyL3CAK|<!@r2?Eaj#pGJ83;w(?Pjp92{
z)Rugd){6@zd`<k$Uj!Cot{^yEHN2G3VdShXGRE2LZM$$)t!=Et)<L8TG7fL4YSBKQ
z$xC}JnaC5`hZ@fI3){z(_}Tg`r*9&QYTN7Ze=Daedp?`1k%~z&SlFy9CVO{ysMg8<
z0Eun6LsJKHDMt~HHo1A<y&S~Kk(o~1n=6OgXJ(2209Uz{l9jmnjzMd^PCJvS7*&p^
zj#YQ4!Rx%PPX1BEJE;>LtW=dEgt8Gy9m<7bW6IX1zgD?r70D_|XUirnEG&GdB6mih
zr|#|49?GE28tOVP-K6qEFIPb$LlMaxev!pJy49$|SssC>$<wNfsv$?zvl5dzY}KoB
zO&k<%Tatz#j5@Or(85)xINnXPlzUi+=k7B}-FR^qY)Ode35`iqV6iJPJiidE-P(jY
zh~*gAtZh81C)~3$BGWUD(1&PyoLQYemIq8;c_%b-?QK{ejVQgeHDhaaYE+uM(V3Ll
zoOsrZ2)AZ#&@`RNYSr;zUNuJ+c2;X}5lYd$sr)=nWeYPYC(;{RVc9DH-rb{TXm`NS
z>4Dh;ZH%;;(;;r#NPNgF38#gfob;SDp`F=9WZh!&1P=wyYUQ#OKIe}c54VS>u`R^W
z9~R7A3YBslOEE}pQV_!0dhMeQD2%|WH@&;la76VP+kTF=r;|Yqa<gNqr5fEkzFx2Y
z0I~P@#s2_rQOaiz;o+W^Hhbre#MGwz;=@Ok&)CV$SNK-7C1e(&u@ttn)*`JlJvpNj
za$(q#w-j^JAM#G_ps6(%6_3ixNy-+soJb34{?F*V5N+fNEym6kXhs;IwHv|=_UeV`
zG4;C&CxGOwnxl_`&s^i9ReF}arB|vWx~I)W1mEs>$^QV{VZ7C9IhX7;SU+a6KiGz#
zz1gqH-ME{>2a;00f@wLIttgsHnck(A!%)QDyC!ap%yv8nl$oE35SfunJb}=buFiD#
z`u<N}s1My=fm1On_z?FO<c@a9^@Zz@=3gmqhq{#1mL!o!UU^ettU9wrsy5t_EIW_t
zKHfu`mL}Lumb+%nn82hcfauuC%EpFI+fK0Yb|QCP9dy_X5z+Tqb&Bd@qcxtsmPse-
zi6@T6b?#D*H)@!S<kaDlJ#^K(vq(V+SXJ<MBzXE?YCfE+5^QZyK@h~zeAYpNO7!Xj
zJUCk3<>3hz>2*!w##Vs{u&pkq$MKQlcUHrVYK^FJGxl0nb8#MQO~j*r+?2eTc;@N{
z<}adQkI8sK?!@osY1F<w9JEqd*kH2d3suU}k*#E8ifo11r7H7{*s_wp3oJdlc5ITv
z%F_)8h?aC-a_9Tm0`vU`)UV`O-QxO}<sY^M2ys@bu&AKsiWUYDQi|c`G2+t8zd@|a
zo5a$Skr&s2I<%#dD55CUOFC(%7gi@1YBKYlmOut8IhvKjA=h=Fe6Lf@mqp?BxjU}n
z?Q(kz!Z>sP05=66Vt_lQefm3i`c_Lyv|XY908_HVUmLA@zy7=aLi#N2(6Lj?KcIt~
z;W{GCv2LAsp}(Jp6CIi7$Vm-dJTa)N0`}rbqbSycL=Ns&Wa3fRvcE<dhaHVJvv8PV
z1uOv~?M+bVO4%6;7F@!CO80th-ALyR8$T1NyV#1E1BqA|*r;T=jf-&#fa75tjcAy2
zT;vI<S(d+Q41YwIxNP-^YFd1yM<`Ayhqh$WQ0}4%)D-px^^4h9#u1a0jig8$($t(s
z?fq$dC!s}}Og5<%`)w_3dv@$*plE4V5g4Zb0LP<lYDb8*+P!$6-$wjZOK@3+ye;nV
z{{XXS?Qox{?L#(Z*S8jn3*LBe^=qTZ)~>ANB(P_SGkN%ecI5cy;d#5(ZQIMoQVg{g
zy9Pc%ihFXz$8OAW7>~<qdQ_y6O1{p^L2tOvLkI0J6~^Wyr0J{Kdk@i)Rv9`vQHv-K
zj)xvi`bI0Kn&oim$hQt2q;3%aCS>cH=KE&aiC!^L4-pTF`4fa}EKY#EEY}-QUZzwf
z$$!yXOgV`h>~rMYzET?!Z~G)>NAv>b@#;9i^!&WPmB(){?WR4p(fLeh$=7|wQYj{C
zI7ufLu5ia?vG7-~0}{M1%#GQr+IsTiauS5u3sKVxIgv1uXo_hZOr)3QB)JPN@S(Dv
zb>2fOI-BJjBg8Epo-qBn3APco<S#$mP`r)>Fr%=^&zrCrN*x|m;HMliV8<RJ5>*gQ
zA2K>_<rR5gQe>_gcqNrQF~*OM${oK1;w-euzRtfOrA}!tW8?PpgwXmrG$70+f9KWt
zLdxa$zgPbN*MH0V%fSqI&pV;h_HLFxp<#*Pr9zvQLKq=@fz-3q^rE$3BV`>%BoKoz
zi#MSL(G;-|&k>htji9O>)1@s#p1iQjYBv%AL=UyYi`RQCJ}wD8@z}GE4E{Wx7ttzL
zN|eVXOG)0eN=wBets_R=lAKDEj71R&jmRX%JI{*gdL>PDUvgZObht2umo49_-u2C`
z%y#7cE4CLk8$%w~9w?A0A5CobzP}75ZIp9DGhnk#iM@EEnk;pZhQ?;eShF3yL(}-n
zy+SnOdf9R8Lz=TMD?8w@lG8X%>cs{QK3N;ABPK%`iLqg^cqmt64a3{vO{D3}P1q*K
z`$_EHAr~h%;Gzb56Y$5;I{cP0UJEyfC|?ik{{T+E4ME3k#v~)n=tIIjpsnn>a;$A*
zIeridu!};~EId=>45kXiP`^^sX1`cBi|LE<1!&Aoao3=tKpRq&P&axW+!+XLyq_yj
zx_P*m+F?w5o0BNp!FX>w&CqL=vIP1PW*bh&IX?$;Mo+$fDJ1y!5f;iP<e8I`ieuY9
zgkaLfEyevDUy+xc@lj6Tf?35wR?VWVMWHJ3cMl-a)U-GD1Cn7+nP6bN5+8FPA=$B6
zq$&2_(4UzdGH<TauF`6|K^w;A4sK1##BlR#PyjCs^9G6td8s65#%h$If%-PKT3_}y
zE-|UomFroKXbu^wHa6t!>)RZUT8{^gwu`jgx$JPBS;&){qdyNRvWnRW6urk{W<>0)
zSSB8b^5>-uf{o?3+KN2%Tm4=KW6o2JUC#xDlgmG~oV(M1=r{aL`P*pZ!{IT}#;D0=
zo#M*Naqd`{aq!%GI7YrU;p$lU!3XXIZJ-T$J1r+2wAJ)YWZ`&i4TVlexdvXN8($xc
zW5|ZHcI;H_iYD5^PW5t5<B*H08`#y6m;V4zfE<3%SqL_xtIb8zKzMANHZc~x`?{~~
zrfgPEK}x(vPmH8X^y<Ll9B&R<*!FUChNR5U(`z@LRX^2p(%#bx$fn0hR3<ldGw;>?
zDQG%-ebSgX$&9qk7FG_`h%5|@7<nyE{-1WMN0E%+>Wf(S$mU9SirKp9-->=5D4T{-
z%!4#j<C?_3rRl#;S=gn=)IPlb02m}0u|2UPXa&@v!AAYdSvs4RN<R>#GoZHcgn%$S
zt~Q2v_`mgxhq+?5y~kSEf6?$7E~dKNq560mM+x(571@_nSqbtu;O;@vJ>Knsvr5Dn
zwh;`KVrv<?mDK%N2sMtXwCf9%9E_O^fE|1`DCtT60Qqy<Xbz;$%Df}Fr{?wI(>w4&
ze4qQ%6LmdDsgPmuDRIbJf0sR{kvsgI{2(2Wt*^0m@z2CWoD+(XxS}LTUy|(bT$o-9
zrtMZq2(gpsvQUOe&LSBrlw704P_Yq>3b9(Z6R$ES9U}0Bw#45U$4t^NmwDWU*#dPY
zz^X*WAqxvkPdu~0?2LJ$CXI~TosZs0&qK}kVsv2dN8ymH?HM}+X`hNYnUL7nUz7Z<
z>#pOw^72H>n{wNy`gwb64boRL>W@hdGN99rYWWWCE^K|^y9Mar?p&$K7CD*5p)RVs
z?d$&lU-~=$0H15xnd9rR9v>OX#dyp;=3TkXP^ra^3vEow?Dqnc4kHvlxy`u*PJ)@p
zo{_Tlq|Q``kzvf(@HTsxn$y;ME@vI0F4j7<V%B6Bif0Qk$wEO`&-DCGhDL|6mX2oC
zRhOCX!WD`}G10@~AC`o;sa>Y423E{9`hOKI^OB4)$sJ1I;Ncn7tKAT+&Wa%?>WJ>+
z3b($$K33D+HiQjKz{4|bq7A#p+kA6BxdD<`C-6l3e_bdhFVOA}Y#iD~uP<)KONIDk
zfZ|xJ%hHmMTz;LAm#c#zjkq4#OCbLMs7OrmVP}K7)8oV`n0tVm{{YOf*(3J#-My?1
z_T#ASe;<m0ShLK>av-BDLp+blllHD$$j>F<i<nN=B56d4Mg=T#(Q2_<CNh8HjfJ6u
z5m;>HI?@>)mNbei{14r$XEjbMkV3?BZWf<CSRlxVPWZVPTMv}|G~cSDh$`kkU9nOa
zrH`l@8aU$1S)J`%ITkae;hMcXWlUpQv$bH|qMIP{+@#&pme!h;B3fW#^7$;AQCQrd
zUJvW7sky=pvA7I3<aT$H;P3S5%ff^-w4>Jz_~oR3Y+88c<c*YyM)Lkp{{Sa<cOYU^
ztAGSNgt3ymGRY(sTK7*`uG7};C&$Xj;q8nOdznT(8N$L6KHe__AvU6uz=*q+xBc=o
zCVF`d)LI9-HxS2;p2nSspOpUqY@w6e$G6qXt|8#6Qf4|0{xasyn%hRdP-1hD$)%mZ
zY}n^J%9>_f=G=$0-cY-;DR{1u=(EX65JVMi)3c8_?Ds3#f;@~Z&lP6G17vK=VzUM7
zHVuH}T}5%N<e&cl;IV*rG110Vu@%A^5jRvrNU`^Q{MkE4G<0#n$J@se9XoM&%8yXd
z62E?>dx2zF%%gR-iN<a&))|egFuPj)=^^I#>ohN@fv-svjb1T~_C1Jt;~`!<Gs|jb
zehT%T&57o6VT+WdS|4XFDaGTeY*LSC<E#d%W-n8UeC4?ibr~#GXSYumEccHmk~~zh
zbvVXT^#zL$a(i}!qtf>6prH1K{XvesS6c3sI<HbpjzUvY7QZZM>?QeD?r~pgD?}(S
zaT!V(5ow+``DCU8hWilOc%)?vCgjv*7KR=cCq6jdu$s&{Kh|f3q|aD4CckCJ4{}$p
zgOHEe*2hPCAtdXDkcrB1<G)Qum7G&$W)iVotOYACR_10{k01TiiRYX=u7kx5tDREC
z>|`$8oPpjD$!2KFiHgn0p|g^?GYx0#S&^VrB=g+UoPg1E?4I7`djsw7-i~Zc5W6q?
zG5Fl1(A4+R$fA|qLSkXnaLb9wLv6;c66nV>SQl<vOtR8OQ^RTNS;bxVkYsE7%0>?Y
zyi8J`*|yV<5+qOY17=O-fj5TRBPFMG+wjif@!8YL>}?|>`}%P$qHT<FyDHY4lomH6
z7M?UYa-K;b?VKmTGk2o7YHXEQvGDw1A}3GwB;B$OXd>dmD~i*t5)mW}n?kN?Q|)k8
z$;7{aO8aPH=Bvb~CkU*+XlUu8sN^x-4%Jh&8wt+N{oNB@(^#Kz8SY|2>X%Q;b}Vm5
z$7C*aebcv3pt6%J4@Tqb$L`x6(B^AQ?!h>A7-6w7&^EtT<JGH8WW=jk8TqcH$%P6o
zPGA232ZqXiodo?!V&wJS#hVgRVxQPJ&ylkXEmGk}7)tXg<|q|xhjizPH)v_N%Eam2
zZ_wl0#(GaTX=BOn$7Fl5%Lf4#b$l3t5#(0GOODi`#bj;vq$V3pPA*ckBXbpswD3=G
zEK!mi)H1wt<BCJY$7DZEwE)Z$iFDM@9y<#^`8{2^tVl%RR=v3zOhc(&g%rarr<z6x
zr*DjQqK;u2d}bN#J;3K?SKIzE$WY5IzTm%?_1b3I7~G`HV=i>i<YITZ`jN7)m}Yu;
z2xmeeV(gRmaeZ56I4;5zY$3CWuAivu3J#=;V|TjQTYQWIZtJFDVY`2|awCl3Fq3L3
zx_pFfUfx!5(JE0rXfTyp?ar1vHH)b&O=hj3Xrt-tVJ<dapQ9;Bf~?1ysf@?s>dUss
z%I#)C;!&3ET<BM|Tm7kL8dG$HRa8AaQdlwADn%T9IaUiT)6mF^2r;6m+FZMBo~k)K
zW-2$i1laFrhcP5-j%4MK<mCoNH=0YM{#FAf@mObKU1=L*=aKx#`$WyBZv-#5e+iFC
zq(M52#M8#knja24TaS`GKe$|&+E|nQ$L29ED@+YvK=J&Z86F6tmrWeJLo0csgC7IR
ziUCs_@*>j+ySx1h=>&|LMs&`F$4@ISaO>QVu-F+<LOtmVN+$O+->t$Z!<r-QwAOeJ
zyZxzT_YymhhBnxe>N}s~`*z}S>HAw<r&s>~YK$<vjb9(#DmWG=#^S}RM?`4Us{=<G
zv^}R|XBqJIthBT)V^tj2b#}r<k;4j>l+mc<u*WryA)L5ZuM_Y80O0y^0iH}{9m|S<
znM0zw#oQ@l0Iw5#W0k>9UFe0}3IiK3z<s%VZPP!L=%oUEY-xkYHfXhByD2oR&dp#s
z$5y`+vmV$5WJQ`GfUi9|?_O|+vazzO^&AfumKKV999BlwB5H31$*VnF+_8~lt6Cg9
z5WNgUMGi-*Da&d|=|xSh^$Rfaw|(p5>sA|A9#&{L41@c&Bh=Jv*X>!iFt~(;B;eyW
z<E8cZ#ysEu0H$x<o}CKx<*pG&b{u?#Ul0~bK90Lw=`+J|jl&VuRWD?1N6~qAVE+J5
z@(#cLnNH9aHQ<%xD(jyqJBt<5<L$eU13j%rAlJPOx=&GtX==%o$@}?CxhfTX)r%VA
z)3}*S6VtGFX<oSv+7p9Jx+5XZDwe-)#0@BQO`x-PZl@8GBRoY7c+ZRD?$&s65<@&U
z=9eK#3YM5F3q=lQQ1=+y((><%LoPxK3R#)ox%*gqe#+FrJ-K4V%5O^(+g2>NHLv>a
z3{xz8+B*B}b>1!Q;^cjflaHBO;%BFSR$D<kf~sA{;`-w1K=C>vQOV=nHxq9#KNdII
zm&|ZB+MIpxiUW5FqznveAuoExI3x(9+aiga=Hf2J$iCgdJ8(}c3XVo5?y#U|G$10J
zhmUMjk#^q6{{W9hF^W5Laz<UG@3#oW!tqI7dcIg-Rw^7t)DB&*-$D{Pj=3($GRQY_
zEPqc%@eT?o(9#&&6A(#S%&s-W{{U^IQWHrN*y9l7O0ibI4TiCcic-{-l$Z3c&d(SN
zoApLd*jL}n`u_mif6oB!_A7_5s=)DAfrurgE|E<2azX?oU_z_N&h}&DB^kIKhT|h2
z!<(jDl*IaQaaD2*%AM-aRsC8C>{%9=fB1irg}5&BO1Lbp{k3n|Iq&wY&0t(!PSJO}
z<1`vr?9`Q1cA>})Llfp|vPQN{-7&Jo;ii9o);SZZQrwc$!vr9RnU}XBTtYP@+bKRp
zVi7m)0L?p`r~d$r9!JHW_`~jnSF<Jhg;vZ`%O&2agV@)~Wn-Ab85^qg3MlbU{zI1>
zRDocpj3+q?2%?Oy<0>@)shf_~J_lO{Bq2r-Rjk>rtjiSYrNb38ZWHDu_cTKw#~kk6
z$A1{m>{jjbQRJT=OmpBRC8)B6ewkFa4Z+4;#>mzy<njkc8(_kD+?ZZy9PeZyYMA!X
zM}f%JtzNHER8Q12S+4bDLZs?T2GZWJZ;9&3F}5sqWY?P&j+i94&MI;!m3bTA&;Sq!
zg;<w}$S&xr9I?rO?<^NeoOXC|YtZ|ucdET>d{oWnxZ;mapYh_Mo#A?S#FUOEJW1d5
z{%vm_;Fx$5_;-D({$y{9_S|Ex#mgG20Fs)icJcuw3Ydy#dex(l4#5*9=1N{nqbFvL
zN7)OLO2p0qwib3k0_(dNH@S_U-HIEmn%Eo6B4ATAZDMVrE>6PagUehY8!;bd#Bw2*
zi**&4rJgz9(U>8TNn=UBdg#f)H16xV%(`%xqRhK!yf-97t&bZpxY>JD4zb6Yvsq7`
zd6d~Ub}OCLHISoQD}1sy6aD`H>+NlAZ~hEnkeIPODPP1A`GA{QO0!%GR$6BnTW1(4
zUEM}X3k-0>$#G&@Thf<qo<8752YSYNqZlz1j&)j2<#O9b%<S??!WDyvL|xaq-I(Nh
z{fjP7U{mSW(qnBnvadPUD%qBFHY(1fhN*@cqgSKT(sRpoZYoQYl^(;p#x31;L21)G
zaw!3}==?)3CXy?U8kmYu$+yjK{veE`lCBl8l)ApV#c%%r@^kgb=@u+qLjlJ4>Fo-k
z8;dYWCL(#HsDA#@g}1+IJDodvj5VXNj2bjyfiaw^=IvOq+mLA!O*PC^fekEp%T{`@
zO;*c(;S&D<>M41&VlPhy{rINCRk*Bl-MZ_kBAM!BH1)bKs6cT&LDVmLk)IO&Ws>6c
zpvc&kyOV>w{1<ga<>=#Qxb?bDbq`8c2Aid^daGL<i)pg}?MB2BoY>0OV$9$s#off&
z0)_8^BQ8$`Rwfw0MYPO57xl$|sQCW?XO-@0<^EC!m;3ygZP`J1g;KB*JYBbG>ja~a
z!FjV>s~^+TZ<#T7Bq;(JW_csUxOU?GkeXSgt<@KdD&vMq6>Lo;vdLOgO)JEtlbUAW
z-2B5MYhdZ;0bR#83gk)(0_m#O7AWCThys$pA+gG95R*wfn_72z&@@dKm6@@}F?_ho
zPSf%4$vV!+KK++*v{G?RU`bPcR^yY$C8g6cKYKLXYrLCnsU=}o9i)tlu{`%d+Rd1a
zUbzUgxAv=8BR;6j`^EfyAO8Sd{{ZCa#&3Cj+2^+y_aJScJq!lK!&q_b4%~ZgOl(5I
z_Y3lTZ8w-8z*RbO-~y~1p^eV;Y_d6sqK1|Bnq1A$hCZEkf~6T6B^CFS!!0FyR4vw;
zyIgmhr0?UcR_e(sotp*7%Dad&{sZAZmC1!X?kFwHC5@g}rP5bOvi(by<6Lb+dOI{9
zkw9$bDYk^)ei4&!uua^LZz=x()s%mpoxk98!kNB(5kalxY?O8_^|}85lOufV@ROv<
z>&9VbjrdultZ~3lDzKSgx{oPi8E!nLLh5PmgHLp$YZ;~j$I~+%iw)YuYCFFQbNee%
zfIaNRCz>3M(4$t@i4<kUV(3cMzfYQ!9W_!S!j%|>{rouS`j<8Os<0fY;bu55-m5)1
zVUM~~zhcGNUTXNPB$k4B+y<x&(?g2H_9m-Vvz6n4>2*Z$D6GD97fleO>G}3}%TT9|
zQ9+P8&v!glW5-(=m3qOrYJ$*<52q!)u1?GSN2BiW&MZMICuD8s@^40E6_bSM<~FL?
z6B!tLSxRATt>a~<VZUi}GJo7)c#3AkgS3@t%F$h;*p65aE0}^PhLf>ma(88F;4Qb3
zJrkPyQEi^SGR2hG&f4s=IRJ_~qY^BMBfLrHb50_OftP)(Rr^sx+8OORy?#d7TOHiq
zLNe^*ZnP3dasv#va(s*c?LZR0EhdU?(8*||RmJy(ue1IrT?UC@<#@7PNha$@Kkauo
z#&eX0M&Vii0CyeR=GJkO6aIwcZG?y$IgyU9{{X}El~9$>Pm#MDimWcszl9kHs{N}c
zb}|x%atHSj*pGZ<0(DC$OwX0MR+DG)GeXvh;*gqXt-#E%mE#$DhHXiY$MDCAh#l7b
zKGpbV6U5{JrMD1OxgAIMIWg@(Ey-Aqo-kj)zL1C#?Smp=PFh=XU8hx`F8Ijs;<^S`
z{YR|+IQVY7PhTv=+@hVN$1?VA3x}BnNwstz+^}#vMaDaa%1mTUVyvL>m*KUop{J&o
zi!m;fgWAxwAq<^p!d1F^q^<QNank<){d<dwVRu;C^T~2<=sb6O7;dZ2LKo!fhTQqP
z5-K?RIjM2|7acn1)6$wAo3tX`I&8&<r4tS^0g7s`iM5ro-JJYET<l5Qb<$XZ%4F`m
zlV8l^rmuqONjHSNMlWI7LAzo&WPgj?sOtVod*M}&V*KruSF%(h5t}~own9!!vG>fE
zaHm{F(|~9tcoZE;YO1H!5XyrsN>&cstz#7hhR9$VGp~t~rH8dFCr3LQsAZ03`d$-F
z@@HRbF<0GVErZpRkHJ5k{zBVz$ItfZiNRs*AF?^+xg@YlMoSl8C2nL!aj?wJqKW6L
zLaWDOOZu;wnrigAezQ}@bq-+a4i*_I*1QgHzAC`-k6$XaC9@_krP>jiNa2div4Gjg
z?aZW+xUjc(Zc%)mJtr3=F*>L5u{Cjq#M3;a5V@6Xzh<X@xptm1J5(p>$fSE6K6UF)
zETUs~;6zpm3QO5>Y)yXLUAEH;GUOmpN-@ipm5Q;#)75t`Z(1#mM70DT9AMn-ls1Qq
z_Tw1(hpF_>vOoU-g%NUkShB43Tm1RucR{`c>9mNXje{j0WU5FmFQni0Go~*w&Y05^
zu6k>daw^?{e8Z7stlov{;>Ft?ZusOBr14=S#Qy-4*yHV4#!C%6qv%0a(bkqXihs4e
zKiY9j%S_3nWsi~0)_YL&{{TUk45wJQ{+%GNr-sQ!p~|DV+#NWhB_sT1h04^={zbhM
zRvYDlg@%q&x6km59zu!%gh|}g&!r4+EY+cCsmu}q^<04_KM~YcaZ$lE*6^74;A%}$
zn+6{k6Xfz-M-x%K&rS7(4(yLel}sT`Cr{(6;i=798;$x+eMyI|Kvb%LNn*8fzng*8
zkKMNxVX0cq<sS6@odtNQbq$ESeNWZ2j+G9Ivc*E&54_B*%h~&h8c>MKkQ9c@F)*jB
z@Y%pS*|`@^6bq=TH?fKi=+vyyT$>3G8!a7m?zWCecO#L#O710UDP<g0t61U3bq{$-
z*qkzTVg&_%b~f?F13_|XrH;>qg~PZlS($K6;SlY0)lbv&^2nLj_xQv<G>nj^^r2wP
zsKnLb&B?}??{4KH7(1;O7gXvu9|HAgw2P_Oty-TQ`ekfY8FRUc_|~f~at5aXS18o=
z_%<^WCPsXAE-XYhZ8(k0&ljHK&QEojJ+9*JGWhG0vT{V6-IK^%pPbPEh_l-!Sty1o
z0w1@H%=R&o^%!?Dok%5*kM~2{a*_&T5(?t%akIxx7Z}}5D~hurY-Bc4S_?JkO3}%Y
zk)C*=;}%Sjd}&!O5AKbdGoLvV?f(E5{{Z+G^16PL&tjFcn<Ix7kY|)TZ2tfk^mf~J
z+mPCN_hf{QX~%*807z3w#RZfSgQ}H1)wt*2S1ie6A%4t<Rfucjo=5HFvPCT_nX(t7
znG0@NpLTam?OOJ+#Gtjgb1`=9`ZKMkHQYk`SYCgrbxD(8x;3BmKB|Lw@~@=fr)FPB
zCw1NAoz$PkLix%60Fi6{s}b^+D1DYb#hzB}*LWp=NQ1d0YO%mF7Tr$Er)s^Nr!L#s
zkco8zkGE%j9V~7b%Mb1!-%QJ)r;+jfXKZTpo(!A)sni{q(aBxHooAT_PR1<{P**hB
zYGlQoiItq~Lsjy%?p=7|j?~gKNtm+{G|$O$@+0%;4wC&oPOPADOFml9P|t?|rF!+A
z#90l>SMqEsb9X_PnTA;$ha7$}*rBr>Orc_OwECtZ45w1deh`pECgUQW?9MT>bFYQD
zZ8t{CuhFB%k6^5m^!1ZRM%88sTXgbWrE)m0L4}T5_J2-!oN#cvO^B@up?63PiIbB1
zU+V2giqSf6<G&w(w%xugWWTX>$$hLax9T-T*>x1$1>d&Ni-fGj-iiMJ$bdUaXo7fg
z(e@(5NAL3eX_YSTM$~#$XL!L_u2#m-^Maf*W$e+R4l1<P9uUpud-6#u?aO|jNL}5*
zk;uZi?cDr~UBVy=?G&#xwgCI1BZ{|^W5>dOvtY_ROWD&6myrS3*jV7dRswOl{6c-G
z?sg)VCFWb)m$=$HY%LYj<3ilMn$Z=BS{+3+Pc4j;zrS*EX3O3)6Zp6OgL(e|)!M6E
zt<8|`V-_*^QN{}f9&+E|r6VJi)f;?f1BUxaN07W^&9o%Hs`bjjU7j&n3oTNd@Nj!^
zF%^oX0YD8UTYw@khwQW-EZP{N?l{O21nxNUWt$(`^(Xamc5a<_Jf~So<A~_z<Cf~p
z6#zETyDmxH2(t*D)9Fd&7n6UC<lWGxQS9Y9irYks<fo>2Og|O&^s8_NTho`9nY?s$
ze%x1NeiBJB7E%Igfc%4|rU>g6LUSI&_OLK}ZkGQ5Q-~v<1<r1j>WJd89b8jajCSea
zB0*h&5VUh$jiOlYE>uIaeg@PTiP|iDviAx8BmMMtFe=zA{dqz26zz!7piO3+0IyEu
zS*xy1ES-^*-a>z)-x@pTBhUJbcuDM-Q<}7taJH_-{s#j7?xh@Tc5Op}t&SLkgpR~O
z=h(8LuMj3?WZ*8YV4$?t@HQ(al4_+EQ~atno=~}z_U&gdQoUm}4rSwdw?@M{`(Ns1
z2D5`Fk6#xDW?xC)(bNK@H-Alfi>ea#>{R$cl)l#P%v(2ojd|P{W#KFmi%RhusVq(u
z=~x;V>UE1ho2A+Ic^CItE6nxAc}m2XY+z!lNc&w$lW{5e3j20Wo63qdM<OCy(q`@#
z76|7q;W2SJw&ghJtyCa(AKPnVCr`*n6m)C6mL=I4Q7H@B2QBbsmDxvaq=$Tj__A}_
znoc8uFLL!NxhnAX(X%*TlxTrX$nRV4I8b{kM*05$=nwv{l2k#lv~OIJ?65=293|Ps
zMK`#e{?ju4<!_6&)RDUFafR|y#aZ$s?`D)%r?Y?{liEW?tYyYl9q|Z`)tgM`e$Nu2
zYQJtOAU@sbNn&Qh%ws)ys>zJPPn)%JsneW(>)$wD^EK*i<I$HLt_w>`rhp48*1Sg(
z(%-k4>dD3FJGvdG+7fnO{KX%FZzteO{>g*)%iuWp+Z|5S?`n1zCDJyA432vkSe&&w
zj4kwle0@8%*oEEbPEb~<DA^aK66ydJp-QCJn;FxGO`8){>qXO0ZYCy!FVpenEmojd
z%yjs$y(cL#hwuHsd$J=b-*Z`Y?!CltgT*illgQGwex|zRXXzK$NA&C5pZ&j8s!*f@
zk~|f1QsJJn%Fo8#vUPfH+u51rc4S^!cKA|n-1pN|x6^aMG&b<?OBDF~*s`8u8SwY(
z)K7K0nCqjEsWb<<u}3PFjhI~RS%9lr%Gn!s@-%8w>PeZS>L?9N6mnscz#K<~x7&sB
zuwEHDb_Zt1O;oGmnpUqwU|jT{%Ia8}Yzagx&g>)oxO07Re^22X`Z|9=R2h!tnHX@;
z`BIZIV?I$E=)OiWG-|!aA(H<9xtBR>w;xIeu&X`h#<x$)Ar@A13f(J-eamC_bNNqY
zUZf>%Y_^2GKvSA`+pzD_zx|UJ5N{|eCJ6Yu$D^EQ9@z_4nqX7N@|%MLcU)WD8XGLh
ztVZHpgC5@n1;P=L*q0|o{CZvg0M3G@nS;%{p;j#3Y3)g7Q=LT))+6J0IS01L{{Z|h
zJ0B-%)yZW&KIzC1EStsb=taOiHke3MyEWM0@#EyQ^F&qV<KUTh=R=gV0UU2D)U4gp
z?L;-(w;9)Fp5S+Se#d3HQy;Na$%03);P!8Kj<#M}SMN&p4V8Fy<n3M=M^itbJ1>i_
zDZzBGZ!g#21B>ZRK3}PXT8we>O%f<}yE;Od{C{#O{{Wc>DXUg{b~>WSLd@G$c!OL9
zfUU;eM}_CGA1Ix2(-CPv3`(IhyZ~^NPUJa?ZDN)dwQNQ|FVv$NrFQL=j;TK>=Hh}*
zOzq8_1=Q{l$D+m9oPt4fW+M?q4$6#!U@FPldzJ>a9@K?A+Vj!9EP4B_6=AC$U8~D2
zni4#=yV1RpxLLbgR%+w4cI4Z?qxo%ff+KKqyDQ03%M~gYM(tn|?q)h}Ihytas>MK`
zhfL%e8D;8<ks|6hojz*H$k>+9VlozS&Q~&dL8Fh3wO7Lw>AG&iBcpz!_a&4-vN*@5
z)RD~KO)D+w6mCQfrPbxzz)2>D`H6T`tPBS*1jg|YA#JAl4=t_weXTF<qi%mS@bUOX
zCn))7+4&59UyHNF$XYGN`+SZ<U-6ey+9{tNY!!+l%3GFbDOZcB;<0NnWA$8zw+gW5
z3{FoTg2}!p%Wu6ct*WKwXW0y$wIr@;GSN4aYOW%3_F1n9G}lSYXMKg&*Xm5Y^d!B_
zVsCF+X8kj2NaU=W%F(jqx?e$>BM^L+UMf-L^YUCF*{MHjI#1)DV<FY?@w31G0EETR
zd)D(8eY*4MkPcXQgLvozfV*qb9WhTUajG)UHYcRJs$Xl4ex|7~SsyHEwkwmm;Q9yR
z^|VeA>7@-di*8g7A^!kq%Lxst=1nY;>7`(q9AOD|+C;!Cq8@5d+;fhP)9G?t*Co-Q
zGGzY%)Dw;9bf9v}bu<Dvz%~HyvT0FEwarH&{*UU*X>XL>_QuzmLY_)k1NQg3QK2ql
z(f9qfOD90_*%o~wM(O;!>>{Z)kXe3p>~dD^vy8W=y)HWk?VxO|G}!u&oRGO#Xt>r8
z`keGG{xen?>ESZn^<o|<_9%&+G@>O!e*C>nntL)cdBS35&SWt7h<bk>LNQN%jCUjb
z5vMqw?HNGEAk1Dr)H0U4&pC2%7a}0wPOFogEI+j*{g^sCC+x=|BjU0U^?9;~tDIjc
znwKQe@&}53N}H62O9x|ZiKVc`!YHwDI)=DaU$&Y-6vxS}e;E%_z(Haw7^pW%$^&BC
z6X|ylme*O>6Tp_2(C=jH{{WcJOx`4CTG!=W_^{t=7zlg`I&C1+1blbBp(h1Bwu-Jc
zCyX9m;9vRP(^rQNUxq(9k|SJwvcc1C+_85{IaT9Ko63w`NLpXp`hWFZ_)TE;ZS}PO
z0Cl6-mnL~236$6v<x}G3f&HmEXx*1*n>{U}sNm7Fvgx@RTUYT?GhVMHNg}jK-<f0W
zduw+(wZbczNiqlrz_!)T`e^?E3-a)>)h*trquh!}B#pd3po5#q5r_Wh3&>Y1evv@P
zr7yoqVek5T6${!T=qnX#*v43>TwRvdGO<`JE)F_T<Zqps=;Hz+>d8kZN)yvSEJXB~
z*S6EJGLk=)O3v-wVw%l<QJ2af2`1^x!#GMZxE+hHBLk49enT9uxLkD+ia+6Hy>#n~
zuRfg|E$({chuQR-Ic0jRkMxn+ZSA(aq7>c~Qf*2*RvT@Prqz|p&vHy7)`W7IYZgn+
z#q{Du3ER5)a8I@(Lh5A$>EqIdUNT;+_G(~gMUIOvo!moW-T81GI&h4);HnYcD@P>m
z=%m=%wiRK@<)pTCPq$*0OJfyqm4>t;zfO-?s{=~AzcUc;7eI8lVR6<8xP_Yi!e%0x
zzbCR%7|IV5XPv@X?D^%)s>jM)i?EY_9Cz}Q#FyrNG+%`&u1d;{TNdM~hrcS1qwUPI
zxEIAdn~1R8Q6&IwpnES@AzDF(X!O>fKw~1}D}b#wtTx9W&lz<6ftUs-Btj9eI{RE%
zO6()nWEJp4+{(RXbuh<OuT#^#LIGfPuON%>OJ2X!4w_SDZwS2`$b&9K&L$-CIZZS&
zZG2e=&moZcG<GeWT6h?_9x|b@Q2+;vfoGqPfAR}_Sf6F+=m*OSw8!Mx{3zmKYVwrD
zl5&O`cH+4eipEbI{M*}%tvx1WK~WAi3k@zJ%n9pFs3tm-k5YFVC3ZV1P-a5xpK0bJ
zPzKmp(;k(_+*N)defhn&_dPvYjFw*?jE<_j(HwKvc9XP9gEUqoqXqb~y*D*B`hWe8
z>2&5h-Ak0V_ALE+)V(c7=#hJQD;Dh4e)KYhygW8p@H53O3l21*n%U&+3^lOz+DjS2
z$xB}ukCTgA5>VT2AuACZaXvidw<m7AOi`*fnntuf*{R%M>5QbE<!FQy75j>35O4lR
z`9u6gwwrt`3vf;0Hk~wV>Ed0L(vk3fv;P3Z>4$&RdWK??6B+UrX7ui9Iqf^3cW34C
z;2_s87EW@i5VMZlhsV?XE>FW7FKSuCwtig^u$*Sj^1mrVO!0h{xSewsY_?B|#Z$F@
zdbn!Xn)2T_kMyUxW_h8j1LXi_n=Y>8<hcI;N+=#jIju+-Ot~nSZY-pqq|}~ro=te@
z4v~Dk!!Hp30I{sm8PritT+VmVTkb54@r<+Ch)7%a6E~X9K=w)Hn1f0d?3|~{TW7Tp
zlho-M!`{}g7~!vM3}hm8)Rf)v(}so?)X?Du<Rj9?De?Z*p}O!WGIixeZYbHO_z9D<
zfttIH?hZNzscV@M)4B!yZ%u!Zk6$xGgTliZ91K?NPcaeKidzRQ1{0bn#Y)U5B=g7}
zab=|JpMH_Q5_j1W*M!8G^ugu-0D#fkNYBDraC@1mVxg{3Q;H^%&v^{GQwJcgSjk<Z
zAjg_#0NNJPBj4er6K%`D@6o&=Vz7PA(zYTkJz~aQtYdCFRT@TzBkj$Pm>f~gHt^+L
zqsZB=pv{De)dsT_p6qDszWFqW_AU}_8@Q@h__)j5ThU6+Q3-b9g1O}HMOmuL6OD9s
zngmx4%#I9-HeIG>p_6(C6_~A8&taMZ{{Y!$=6M?OVkke~;n2H$#FizFLI9l%QpPlG
z$0Cx$-k7GZiK|+y`H3?b$nkOBy=NyW$HsOQ8)-D$Uz?lD`v61CS`KPTM-q<jF!wyM
zlU0$iotKh%r{al;-}-+A6r5VL%t^;=QAgNsNAQ|WF5{v%*H65STdHP};OVC*?c{P@
z%y)cv_ZOA4$(ajzmRRcuMPn>OS~`be{#sl%&lc2xOygX*_S=9=*5WO*yC}TBo<RO#
zHd|vy`*pBgHzl_ztKiyPx#g^3>C0Cak<P_UTh2{8;LpErlRX!7-zI`LWFk>JToW8d
zMViM~<;x>w#l`U$sdHC4c9eK(5^x9N$>x4DO3WPPSM9Y*naq#2j#(a8{=bSFP1=iG
z;g^J`7UYbF+)hkVW66euIR~qiwnKj(UUIJV^AVEG1eYlgk;7I#>>W3GqN_f58CmKG
z*<|{Iyx1J|LB$?XvJznDj4Cvs>+KNyY<|taBIMFPCeqs{X4XL6*ZPqoggB^2*h~i;
zI8F^6n*$QtNYe3yWFe70nRr{$?k-zT>MLGH`Szb>;fQ~1M^R4O7=LM1$Io!#s?{Nm
zE^2v<2xBrJ0f`9&&053m%ae~&R^uCbJNmNawG4U-9ve%Jm-2SiVKQ}zwmAy9h+DH;
zFYVf_&3Y@9Bb8IP90=lTaYc0K&2t_XqnZ<l>t-ga964xgjl5R`G>S#-IkZqh?=?v)
z$m8;@F~;Crmp>OIee`ZGw0U#vbtUp>EKOzSF_Xk{E_{<dn4xK!8*}3iA(;uPX`P$@
z0A1D&iCB{<aO}(YI_Wz;*D3nBWI_^c!)f6wG$6=?QA3NVMxo?o>K>sCY*sIK<a<Ra
zSq?S_!ZTczXblt_lD|MWBEm(EuoSD4Nr|N+L5~<@XDPAut3xV=DnlkB{yr;`(`l^F
z7YhL&fsGBfVwaT4e}tUZCCM=^=9UWA8Xa9T81%_%Y@EO0H}Pfmng?_g{MZ;7tJR*|
z(R3|LH9*DKw$|{*P!t4G@CxkG`R+FLT2YW(Q=Zgh@f@k$YvA8Zf%v><wK?jg9-^@w
z0~zvo`Vmyc(S$8rlc~TXzTbT|<NBC~?YvILEu=qUZkTq5_S~W!`!kwehUwU_wWTQl
z&VX5u+E0$2Z8ElR-j2j#9aGc|Jhfvx?`gP7p>A?Zrj{{ta$*N-rN`~bl?LZdz!1sN
z*$(z1L5j;+9?GfIZ&Y4r=az-n0(;$sXDUXj<1Jn){Tpb}bY$!}9A9HR72%C`K{RaM
zm&4>A^taf0e^L+2{YmC_%4tHpk`cv;#+j?wg6_u`Xl(xNnPYJ$WGU08PwESPOW;E8
z<Yn_CXO1a0qKVC8unj2En4=GA$=(NM_8b)F!Q!dhC~Gv$2MDI`jDys5WVKU^gZesV
zPW$v94K$xI4+MPFUjg3Blau20jGoq|1O2NN?-gk~qizer0@ShrURl~JgIJ!q+ov7K
z>{WOrVe?M;)qMo)@BTxBS`zNld8+bZ2izcWzWJ!JtS3Z0y<F*XyVS-0M)<bS5{$IC
z^8uLQmgM8vcYP;yzx`dWw;AWeQZJEyHIKJ2SUA-j@kUgqg4mriqA*J?QpRgI*vj_h
zGbm{k?^*!fN!#8#tvjl<`|?RRP+^q9?XItu(yNgxCUQcgHdR71l4-jv58D%lWO(A1
zdisg)I~Az@jQl>;dCmgK3rzeSmj%by3Nikj)+7UCrrF-cU-qjEE^59%xI}S4q_L(e
z65lKjLfOh5GZ|MA9#;=rA_pm9v9_{|O)HllY0dq-Q7MEOJ8cx5q2|b+ZwYO<Dcxx{
z(3a4amD#^)GL@o(xNTm~w~_!mYc(fxC%r#Rw>;QXVU|J;;RmEc&Dr=T@T4v+(%n5I
zbt#zfX&9Th$mHOxPqqA8sdE0-y{UQ4f}gvU>L?zjUzU&`5rAG(4Ms;NCnindI;&;l
zhRO4P^ztYt$7LLFr*|heyE{fmZt2d+cX9YTIXA_0t~QWWhNJ_{lbEcHk*%Ex20`TB
zxjzBF*$*gvZ4)l7E?I1k7nII0tBvzUz-i`?M7x}>5O|!Bt*87)&!K#kWBJ-=?#5pp
zd=>&O?D9zZtn4k%;}7n<qQC>GPh4a<jf5f>nZKRLN4J^78yo%lZ8~o&xujl9&ukjx
z@5r6^>1M;)lMQX=tD31G+4hs0V*B)Dxe&-UYj&ogV5>=Bdx2jd@x7QLy&Sb%UB%TR
zC}Xu4*&0?^(8e>2jCiT&*QtIB*P($^u>@_1fUVuNWvkV{A94)n^R2el(-LQWL1Rir
zX&&3ZtN#G&;w$&<bp}J<S^Sw}OTSN!lrzaqVtS<9=E=ccjQ5`@d}8MzD-(@6^UdC~
zr5$A^L}Ok^o8+RR@*}GqaS|d`q3x>W+nUJt0z=~`d5A<brQ)T1%M)x^1vHU>_r;Xu
z%AT3qigr%RUNG>tvFg}~@?AX?mCkOPyDSmparEM9_bjnX9eFUlFMBk24w$EiY00a$
zSF9;x2LAwG$Ze47i+MQ5D-23}i^xT5Y0b&loz%RA5tjKbNsG-%DoFvskCC4i29Fys
zJJ*;99GI-g<s~eHU!~&jew}A0vbBQBNjz5%xoOu-9~{_e?b_H{V?*~F@sdyFw_?O#
zf5@fO5F5z@C}Yx=Mu@U@yHPynJXs9SwX2iMNq%5x+4^f=t@YJ!+;-afdhesN8*%z_
z^{*c|ByB%JgG-LgiDYY*CR*#Ka8cyz4hF4b>Kr$-E}5<Rnhu_V1pTV5E^C8+rzEd6
z{{VNKsbCx!**BC=rI2?q5Zpq}#<!&2TFgDkI+ynPp8TyXnX8Ld#kQzR<)>(L(89%F
znSlJ4qy8~{x*scC3E!CgKDMxP_Uyf#$pQQZW^n?J2yNMW4k0F>5-AAUIj4pfX?yXm
z^u#Acq_5O?hpQ(400B<^ztjD1(ylzsh7zSVPfr&&;zny9c#N`f3qZjQg^iixSD^Ot
z*R*xyu-@u93u>5t#|H<TS>C1i>;&))sDLGc#C;vef7<gxv2?w(Ijes1#jw>}i*v{C
z);YMReV~}5Qp?<Lzx{{O#oCUBJkOc_cqud~oj7uN=d@!N?W*&$ix}@K`+_1}{$wuk
zxyKw{J4ik*_f473LQH1JW|UPsa=nW;N?93(MI@}tzFoPb_!GY<_Q|%Rt}Y=2JIV_+
zCVvb_of+{$G8(UJ>%+<!W`{2|RhqeO^TU>kk=4d!x|+r({V;~J0M^A<&2_z8a?JIO
zypk*Wd2&Qcx<rZ>G&RJC;EKB(jT(!QI8rG_Xt@_*6ei10y4H>q`3Vr)jof<%{B1G}
zw2?ijnpyEzzfZSjZvB!sC4wmHV92?ftTA@-wWepid;b74NPfl9d5@zp!Fu@PYukU&
zs8<jnD)HE2RwiY7Uv$v!7&Dg}B_p<<`svfwPpN;(#&dqtH=5+aa~C%u^DnJuZ)*Pl
z%l$UK5ZJqhj?>?!b*AXdq;wRuYvkk0boohJr*Z|4y)Hsg2`))$O1PqxXUuUFIyVY-
zj4@&kF|a23lghf<gdO`L`!-+S^<dg5I;fsbsGt7%@zcjo1AD(-P9&^V<buDqlJuK*
z{2$XxN+#OVrdvX3{{WDxWbsZG9G<1Wh)<`Q@ksG}S}EO>GInc7e9rrfRWZcUMQR@W
zc>4zBmaE=^LG8-ktc&xO&1lCXd=286tYf{@d|p9xC+573atly<Yf(2Sq%pZ!`<2SQ
z{>$8pxYdBYxK8meY7+&D?-_*B0<|$&SPrI)slIlhgt;i^8u)maGSvGuC2n<pzd`#i
z3D5rkYNTx>{X|j3{{Wu0vGaDUZJ*JfOMH_$g!EDTl;0D*jO5(=B+l}`CCQz(hD|1w
zYnyG^QaA4Q%eMpao^s%2W%xXf>s*{+QOD$}t}u$ozNs@UCIr$p=nZama}_sFs4KAB
z#pf)K>Cgh{-krrm6>zUoEZ<dE#=~<fV=8moi&7gpap0k`wI#ijFgdFuJZK?(j1J`$
zC@c(>C4vbgF_XBx?vY3mryeEk-NE6~?K%l0jH_kdN6bebdrrume<n5>-8LweJh<MV
zAO5CNCLETQleZPmi1cnMu+y(QLaav>k*!s#iOI<FIacpHvm5mmRH#;|JH=-=MYl9#
z9C$bX0Q9W0OIAkURbXRIS}`tZ{3Ct8q%QnvQI{b;9|~AZnDGJY2wZIya^Z}#Y7m1o
z^Tm7oe5eJCfYQY^aVr5_GWI>m;Ep=j=d}}{lu0}Ickz=y6`PbN9|!K~3G(!_7diUI
zJ{?Y5c>#miR4VU~Ab8$eaYnD-X-J=M{{RFprM;jRTvrV*{<WeXxFzP)ZRtldvtq2r
zA{hsmFobq)jH3~-&6cn;$%}|0igN5vB&7~Uc^_RxTw%TH$iF61QnK#Yn+CC9aL2+x
zb{LIF93!J++D(_HHUvXK8N733;@Wm@RHkrpnV>5SCa7c{g!1EK$%NR6VSdpvgOpNM
z!(6gMgSUzZ@>cF0n=+7<eFV+MUrqi`{{XFkjvf}KdFA}sc?F8F)5iWi9g{97UO-V?
zOi!$hZtKUcKCIC*d>wLOT$N(|`8l}3;@yB|QPY~#nQS$TL&Qms!#ak;3q`<M#z^O!
zAG|VdFgu2Za!$l+j6(R%qqB?|Gm_k~W2+&Sr4FcSO6OMGu=C%RbN3SLSms0z%0uoJ
zGX-Yqu?0M9*_V@9bCsH@5{n%&{XWC2e3=|!4VoFF%=DAfB8-`PNlizJwXnup*XTCg
zKTFwl2S_&Y{{W=cn<LVb2}BgA*=w}k&5UgFsZPFLow_sQ<Y<pjKlwEn%J)zSL6sSN
zcUeHvSUiq4Omv^=)=p1++jH%(sb=D`x4ooAW#yXYSTWTv-jgFcw-KYOxXI&on+7a4
z_s#D`#_XT53qOYVyoI;=PNE)VR<T-_35Og+R_gxw<YJ{p&UmxgJahwQrY2CNQ<=<N
zag7S_^xsg)N-27Z!AWxb(#1dd64A%X(8EB5M+*Xfvii3C>@ze<_I5awIX+KP;7RDw
zcPHyCYc=N3&zjE_n7Ur3p>}st)QVLmGBH<b_MCp-@A4GNHqtiIFAQH}vJvFw5^+>n
zovq!7Vv8(c4I8I4(dL50w(cA<1@DDfJB5yo<yl)}215PzERBoZsBV|OvJ?Vk?Br6#
zBx(NuHce(>QRZxj!<2aB{bkLLXk<?|m;V45>n(1RF$+q(PferRHqr)ZtCeS9DETZ_
zR$NTfZCA;}cpCC9py|Mdwm&0OF*!_)j-a<o8wL`iN3}nOxI8WXd;ItR06RA)zes4%
zf4|Fqw5NC`0_NXI%W1tLe+K(HmI<BCGHiu@#Gh@&*8*7DanCLqJZzNmCx?119bFh#
zRwd?dFKZ(ij7t7Z>mFM*Hd-NXka=jd#PbUlUfanPSOO~5rF~kt+X6R{o5E(~?Zg<)
zQgCwQ;LOf!$<L7#j_5_*ixo9$6|r{mDhzfv3^uP_zR+XY4Sak9HNiLcQllvyG0nr?
z%<eN!#{oQoQrO4Uuzf^(d-bvnE+Y2}u;r^W6tXEJb5y083E<05f|I{hu1o&kxeU)7
z5p%7U3h_xSb7O+Mp2De=7D_4ej&`me!TCF{^!ug#oPX*xJad%n7C!Di``n^(yDL-n
zV9R7m%<@=hUn`M3g@$b{ZD5b~Gf}i>h~It!;<9k|@>Y+LeJMYO^uExa2mb(0dRgUy
zd<&Ufc<L5fVj;re<@Pmgb~4`jr9o_;eRcLn+#N{$ump9dhdJ1W9-YIS#1RZb%WmEi
zt8#YZiJn{iP1O$4{;4ylGjpolOD$8w<ijOa-M?=Af0wZZ%!MZf6kg(L@fAwtEP&5w
zw=JmP3-`Ur3V*-IP?wP*)aT@ppnW?Yq<@jLF^(dnF-8@JE!m+NDRG5dLd@01wVv9f
zWK&hU+gahUG1RniPhY5OgJ$!1*=kX-h&q$r$J8vH$H_}IDPjilpU2|LFlTsioz*rn
zHhUPui8H2$lbtz*Q<dw_ErEH-f!>bdA|Bkw^-SN4u{3QksbPK?+?3dfs`XCVZm5jm
z#^eS<uXh)Ut!E))DxJ*0*~#+5#`pg2CKj=GFE-@=0D+dhG1hs-%hA0BM*uijm$t(k
zvM*|LM<fqkL<Ogb$Q|w30`5yO!dzHwvnG|THMd~Po5jw0(3Em%$isw!+GtOLnn<J@
z@i@RF@>PyL+mRa_lg7!{EiP_`b<4}Us?c&Wi{4ww)C_vZ<8I}ZY&|SYc^s3wkqZ%B
zXBV_ige}ga!DK9``a;Pe=*L0P_4WSGs4M-c8h)Fai{Hjuf_B7Z0gJyA*1H&}I)>~l
z*Kqk2FG|<AHt5>M&3<CZhfQT#Ajs4{nzM<wQK@7YC|iD@Emq2bsNsUs1tyIhc5uIp
z7Ly%PDtGa@inrna08?x5l27CQoaQ^USajV%k=V;CG30K%=FGgiGik9U@yfyODA0Ea
zE6cd^z9g6J(SHViM}IvXfGqxIwN|HJs5*pd0CG3A8_rOikYX}X=rIFbs!h~1YDIcl
zmo7bsV1pj<1|LP3%F~D2$M%J^i_;@x<!;$mq!K!k{16njDukV(j!uxiR5F8G+{^x~
z5BX78lYQ1}(H|8gZm(npoO4(y-3l+|`46LcMEhoasT6;2{DYikL<3Hjw752DjX469
zx1>1-3t3Z;tx@gF(pron>5E(^y&M|-0vl0B(gRUHNXL?@T`(FBkCbl9gJ2TD!7cu*
z!9!Nb_)YjaaMO*cg$;u@lH`UFyiNxj!gO*G%^k{}wL3hn#Br1}KRX(lLTx=);AJ#Y
z$jutmQ?-hn#Zbs+40hDGriMYsL@~|BvHt+UH;nM{zyAOeCT*?>y#5?rcHJ~&pTocW
z6ezgUuw1480D=MMBiH$RA|(uGRG~I8WX`#1b3t|EaLC3^5{Wdo#0q%Y%uL#MZ7@zi
zn$se%#^oy^u*{&c4A(5YnVZq*f@c<@5S!#ln&e{S(8A=qd|M}3=c!s(B`@tsDVHwi
z$;~;hDTR1UY|aiw)vAU#DML=>%+^!%fs*;M{p$|~2Gq(tH7d#Sn3`_gLvlpcI*QV4
z7IM=60B7HH-4!dZ_C$;QnPHdvUnUAnZgL`Q-fo(Yt%cBA!DUpvCEQ0!<sj`dNn5FJ
z(*cJOo_pAtW1A6VZBny`Y!J+6Jf~OOpa+Pm-IB7YlqrZDNH14uBA5spA9_kB)cKgR
zSQFF7(>WK#<??r1v7E5O4no^TA8v({tWjveziKw&ZnV5xGy9Mm?ARaGk$r!rn4zJD
z>JFf6d_d)9W`X8^(Fy>yEjksOl%b1)3k}sbD^-rOccjGPVH^aRsjb%N`hN|0W?S@-
z_>KDv(qDt0O~Wg2;10V0=zot*$KK6JD?;DuxN;5Y1OD{m=P76?!8Ff2ulYCP$(JYN
z8EvL-E%eAC_Yheg)(Vt`+bNM`&$o{ww=QxhqCon3>^2@egVcfMns_A1T9gATXSr*s
zCkjn&(NA|dClbp^C7YS!aJi9|?HiQ_Rjx1i7A6Rq-Yhn7J18Y!d20-b+2SVo6J!rk
zRe7WL9^hYbuIGngFrv@R;`xInjha9ea=XaXE;X9oB!;}b<vD5J$bTW~Vb(#v<B#~1
ziJ3YE<n^ixpr8n`fWtg21$qaG{{T26?@51jD(`OJ@M8y+p4fx5ZNf-YQwUAAOzT@t
z%Zr=W$DE4EwQ;3QJF=Fr$S=6l2bW|{ozs_?BIeQ-vv~mKiZ?^CR!RGqYV9mTS>a=d
zmbkWNiPN^yxx9zT#k{y_cv@Ut)Ns70;q1M5P2^*bojkL`d0F2qs?n-Zj$$ZCF<G3W
z)##e+@L_3HQMVS^ZK5Y`4C(tInCp}KSJz=QPKXiXE7@y(6;gD4H<re{9b0aJM`sb3
zS9)%E;jt4!t683_o=du<$Tn`hykXa1VvLQWu(nlPCg4?byc6Yw;X8f8V(<q1C5=35
z6O=o6?xD(eOtwps5n5VUkNlBY82eYCFP)z>+snH%0ez<Xsfa5rgw4&3hFb?cilXlI
z=BtH+C)ASNAv2M}cL9oJlEzZVQirGT^|3FLYSggQPbWS)yHtnO)v0tB=Hzix88LbO
zpPw0Iq}qaB*~n!iogszxQ42in{-{I$0OO$l0JZFlRWH~pb2~Ht0Kvb(me(za{89Xu
z{{Sq#$uPka&4RDtOAID3W1Zy@ZaG>10LiJ2n#|E*riuyi7DAjjsNk<x58G^BFl2`#
zjrmQFd4`@U8S7HU6qDm{r)5cs?aBHOU7I~a^z4V>9$-o_w-G7h84kr)jo8jLwvk90
zTjbTP6l88AG@ek%qnk=QeW_knk%z%+WGtkMm_qMXagmim?a3+fB7H{-ZXT)~UH<@x
ze3ZYo-`II#`-{Y|8*=5ur7wxe-N<KZ@r(1Jk2?XAo49}Q<6l-T8;I7Ilz9suIpG)t
z7=k`ZB3yYrdIG~V?Ho00l(K&m&9xk5BD05ghnE9+5gH<1T~}#1llJp>Kt%*?BK9oG
z+kcga0__7D*)iO1>YbSDaQVKLlg62ucty8QF;|WNM`N2+r6t4tKCUEv<-Eh=`XV+}
zsn(_q$kD~|mn}w`m#wPDJOl0^>X9gL#d66g@pi36HEF3nKdA0wWW?km%~WdKmT#(?
z50I_anCmK?+BaTG&#QR2?6yOpV3kK>G1HP)&trOqJcml1ahS#vlBAuyO;Nr#anZE4
zDjX}A%m)cpBNm!4wm?zOqX~I47Z;Vh6Tc{Ky*jeb-*h3g(P<Z^8~*?|dVHvC*!;Qo
zBPP+5n`OT^d|S>=8baN$24Ac-NQP;xm`CynL07`ux~^mEV6Nn{_%7sqQ^f3*9J1(Y
zO-i1flQ*Njk;$RGCxL$cK;+<#2yRDfqcOG^f79H2XfW8^W7UkOF!&exlHJS$eg6P<
zGF<DwroA0AZQZ!1{Mj?F?QLyxSm))_@qN{_amf~0<vSPShC1K9U^`O6SxYe?>W9_-
zs*Y((tt)$|dcF^FU#g-DwYsu8wrKUVb>+wPeP?KM;XOB<q$84f7h7XSFThpGk6gW!
zi@hXg9oCgg6G%K96PDOxc^8p?=9_x$Y4~|CCSaMxMJP&}!!dY?ot4Nq9V2*1M~iRd
zU&5}QKCkg>{wUjM%afpVVuhXFKY&PQ#-yFt<&(FU%d<;Ij=v!eWCT<zNL-Kp9ARqK
zSefe4n2MXk;&P7dlWbq_mXk}xd&6}Fh9_eLFUeJ|^PDhyb!tKFUd739Kfk2uje)63
z=ALfmV%a%7a%p>);yOE+$=Vo#@F*e)9^k!qzZZUlhvcSacahy`-D^k-Xkv@oaCnqp
zbE<d<#3ai+$ByX@sN;?>;k9b@Y;wKU>AzUbNZkW@<HK}*Kib{_twr$lY)6`x4}zB)
zlEvi1CDJsqF=cR*;w^usvmbq>v2NB|r7vWzze(DL#r~TtdtmzBYBE=zD{vHi)r##f
zW_lvMr48JlOwGK1R93r#yNY}~aKbq(Exd^Zqjh476FWK*da~S%ErcN>h`gg6JFPPS
ziNiE&gFIv`2lk^B@8H>KVV_qU$z?_ROis-aZKMrL{j+UisXgm28$n(M;68SCT-peW
zxeNirAB!6gW}s3SvInlH%uSTJMBwh&AdtcmC+MJW(Rb)iq(rBcUXk_Fk$a4xi0nKq
z`J0=sWWVYVcXijW^68fFwxfvVB5gnS93?Bs0fO?X{{Y=<{_kD-?Qhp>exKh?aXMBg
z6<d+GK+(y?=A4P*n^A?5g~n?#y?S%IwP<5;mV|0Mbwv(lAaB;{I{j}P?(<{qDMrjL
z{b6>4{{X)%%O-0jCDPxkBaCd-sWZf<fKEwaD&-W!4lmsUuHv!rI+g~JoE|5M+17_d
z%%gQ;qr|r0^=^qL)1Y@uJ;1LAH-<-$HN`*1I?ti%{{Z_x9T(!m!WZ=VM&Gwwhg9Zh
z?7pUggr6MCcJDcRykq$MSyY7Gu8}+c0L1}tmgfDQ3;wH4-rzoY2S&-0sN&N*pxeGL
z9s7O2c`ePtNZ?~q!7Gky5H*)AvoaC+M-Iv#{{Xw%e?Lo`C|Hi&Pn2DNkW6HVirA96
z1QjF)B4~E(0?(#hx0L0p9y}s<bxR*5xw%s5_@Kt#>WQdgE8`;IQYheLO&m{{>7(i?
z;lW{gdOUtkJMr1aIjK624~GhUM-NiNjXv%_{YQ)E(Ne%vdVbHmq1V;MTvtTmOBqKC
z@`tJ}Nsh;0`mZ55!BVbLwto#KDu49vB1WCO@!I3!#YnD0nCQvq9xti;jCJ0fyB$w%
z(L-v$Pm;QL+=px~HM(RA=UCer?Qsn;LM`wtO}1v2$^+884kjuer$oq>DfMlYw&xD?
z@EWvwll$Yfho|hKnft}!F_KQ};^BsCHz<2s7pV<t!zm3Ytlm4)XD>E7mw%ML+$U;v
z4oN>uW{;!fAi`BMngmJ1YH(m#%e}SHvO*P#QD+&!*D-W<NRB&_F`VBKn}W*IY@RAA
zpXW^!LaN(5bhc$_%d~1ajs+#7G47!IC)xi1#ly!H^qIam>wTxWC{F}YK@@QW7M?*M
zHgq#^Ajx*uy`JK&h&yUdohaUxG`n}6Dv_LmXJRJe5P*ysNgz105L;LA%^5qp`nQzs
zqnV+tualqe7L3RmH)#uDI~WOeP!kf!$Ky?=Z6<xY4~Tzy3pBLqjm?ub+&&0{<;PC%
z@-O3G>#JMWNLi6|ttfC*VGEH+-y&O4H!_&Cx9R-@cLT_{NI>;(54Ww5?3PU4(vHla
zJKy3W=0e2?N_@}$CVfA;lGsBlQ3<W{lNbB5IwnWq!Ph?!M0O>ij~Z%8pNF_<*eefi
zI<3Ncf~AB4ER7i}sLR7Xo*rAQPx`h(UhknljC20|I<g!-&Sqzvz^1GdptO8sulu|l
zR^14ZzkD&Vhbg3`Pnpe^8Y6@0PDczrGF?ea635q;H-_t2FCI^IiWyp1`uiItdw9J4
ztU3rYS<|7=pXFolG;vX24|KZQ88$|aGorFKrKegPMIjT-<Za2?r-BFlJFl!WmrLj3
z!dbxBJ15qWx9Pv><|LqtEs>D#P1N($sfp{mH0H+T>t$jNQI}U!$6ioak|;g1Nb=O=
z*$B$zPt)bDaoi~s4O|XvV`Zx4gN8xdOvlBl%iU=_6|KBNqEGf{);;*zCsRAC0OK`x
z(OqW)Cep*#@6RlZ5yRkQ2b}757+x~3ay#*4DP`<&glw^mA%50&=en9WJBI~FA;(%M
zRC7QSx<G&Yw(!sBMa8bqsQQM_Bdc~w(T-wbL712c`hs>r)YhU$)wT(ns^&q}GCHHx
z^822&qxyb*=JO~0pGoI74jTgT=^K1mk$=Oq=ip1rzo+(7JFUB@-;0H&bukN?WkbN?
zOc*7VibjjIROv-<GCeYNq@F1OggJq>#uo_VrI7fZn7ux|B?dZ8<~}+`>@Hd%Fd<R+
zU7?Z)%Y>I*oF7i1CS}>=xM-^U7_@C~9^#x`V{P}MXXNbO0H1J4$cg?H9ktc}0D~Ts
zc_$jw@B3yc1=FTbf|2<@sC-nx#FKbk#qN!n-;(~n2rH9>(i{H(%F+<INJPsD8jsRZ
zOwXt*9O|r)Ls~{Acxs);BaXanXSk!7rFY;GwD9{$;Ct}is`PA+l>kUjjD6(n56MmZ
zaNxx=S(dalGIASxjv-^5Zd<T2%c+JZvi*=VmyJ{b-Z&u`l$Rv7T{no1i!-+#pz8NE
zi|PBhsR#W!G7Qg7+QC0e&-$hV1v|qgV;C8FwP@jbeCgevFB}+{ppxfPW2wFtKq>Nh
z2gg&b*OoFjKSuWs(X?Tnm$iq*gGECzR~L3jdVdlk`5M&%JbU#On==MGA3`?;mdM47
zih8uOLh)R{*uiz+6E-f5u$QK($~oHBuvP=RBsMaAhxhg5bM3Ns6^_cyk38Nowr0P#
zIOUPFbY<<!Gi?|#Hx4BecqB?jQNIa!a)_VJ(b)^}JC4k{bE52L9$MA$vpKUpO7mpx
zLy3;0b}9oYA}%Cu%yM^I7mRzd^$tm^!7QEUrC4o8Pf@*)_O4R?-$wrc{h-M+`b=!i
zk~e7cGIO#`@E1b-pG#XW=zOEs9$y}_qV~FL^pYyl3->8wUc$Lm>PpX`efo0vGpGLm
zgY7dTk4u8rpI$p(ND=F6ele!p{lmh&$9Y%ES$3f&o_kE~k%}o`BJIhibu0rB7vS&d
zj<BYSwI>~kmpSBb5oqE+y0%<Xu*xQGLC1n(P|WO#E<;{K<K_OW&}UG}_2!AfaT3$Z
z^(TXO<Q2b<SGULUXx+ov&A^9G{fTf7R`f6259u<0$}r?p8w)%C0O(?ejZaN&p{~yL
zcc-w*4I{HW$ZbCzg=d;>`PG_Hk~q8*o7BiuYcae<T1sL@u@AhBq(#L`^K2k|=OEM*
zMG>(KjrI-&T6x2{a%)cD#?_;a5|Emc0N9+Z9wwA@)lV<g&uk&Vbm)-Q&i<ilE7q}6
zW+5B3I&KE5gv-QmJQB5tdgC4J^0=;~y^g8c&1Fvy&|d7J2=KW)u2QtrF#RP;u%~|+
z=Vz|$F~yjpkjh=fblrc`VZc+Ym|uNIaqL<D0Im9p+_r9Xe0bSj?HMYC{-4#1MVz)1
zA}&Q0s&((zu?3Eb$<K_Xou`(>7B<w+EFd;yjjH4&dA<AN<r@_;4V}g{Il1wA@7#!)
z#Z9e%kvC#TO-S5k2iZTGQ+FymtBl-B?;lVKc{7tw7FZquia9RJh{DB-sbrbd<i??h
zna;Elu;c6REtrcHN<7}A_VC{!tRTQ*N<cAksBGO9fBr+e?UA0E)u$J~XK>^Vz1MM#
zN2DAXcSSjT$+Qu=H-0Sp80&^dqNt6I5RcAm)QoqgD{><IU-552`!_^fg^xldxAk{h
zRhx19KI)dAX?7h&y7JQ>aSIT{QS*^kwKP@=b|sRu(Zdi&BifOp5I*8BzrmBcgp>a8
zIXg!bTp9eW@m@*8?h@t}q2&|p){}WaPA&AIos4+-5z@%f<~Vyvhve<F55$}H<EFZ|
z%zmty{Ek;0TMI+1>Q%!@FLps5ML6*MqAfhbz>uf>S+?RmxR1;If6m`@n~h!ieJ37n
z))|vT)t(7somCT>M`9G>F$jq|_aYA*&ge+>+|s>FZ4GN>0piW$o@w4d<hgmoj>3*A
z7mnpRvn!P>;wHys0_1W;GskLIie`=KfP<MqS)&WKibA1Ds>N0O(tb~M%6y%;THR?O
zn+bl#e&<nJ%3ti(p;_wEAnq(A?+lr|WjvfUVaL*b#zNAgMmiCdcxN%E3~Ffx2r>5?
zCrRIsPhLAiHVP@59Yk@}w4d(8@zbwJN@bYIwlX@|7;^1%1VGqcv9pU<2gX?<?YRN8
ziVJn@o<@XuD%EDO(OGPsF1~vka+A`M)kgv^4)C5ugBWcc;sC1*LULDyf-J0!5QzyY
zSAa;qqLKM!WBt-?tW5s^wrohj%w4z?X6zI%wzG}@0O$11J?f9WV^(Kn8}o1%(8tMT
z@(|-<w`lI2Y9(pM40TwckP2A)u2MWt6@n<b5Vw!trGnD1>`j`Ngf^eKHZGK2-WqT`
zhl7SkKAwkj^!qZ%;$?~<w_%?RhP9AXx-;iX8y#BNJ1>j7PHtuFWUkXor{4bn2NlQu
zT`n)_;hEJLVjBM8lQYXBvm*{`6)V>v_Lme;SFZU0iQHvbTdZ<feHPwC1;sn<y*KOp
zhKcuTvp*>`&U%rZQje7PpzKW(_RdoMryY*=z?*8Qw1YO`D5UNV(0Es=`(mYFEyeVv
zjmSPGHD5*5js8F3{rY{XgSlsSIX@lg-{l*i`!@U^>JafH#!Gwu0ML)g!rWu@bnVFq
zxT^L&vxxD3d=?mDlZ|>}?`QmLQX9=Ew+3U_i3q8$cOJh?#Wg_bn{*GhUB1#W(&^~A
z0oe#)Ct{Z)^i#b%xa)0bGQr0sUO~AXS{<UuTI|P*rocPf$9$)~QM9a5Y>YK5I2KbJ
zIXE%6`uG@nXyVJwy)HXznEvgE@lc7zBO5lE^|vD!#wi*=>PueN3(-;>G-f`_Lo`#y
z-d6VO?R8WW%T~O=VVj;=?(`j;Xv31}*Am6_nA|)UNrn#AQ!05mELppX$JEJBkF|i#
z$DFB~#6_H^)45r&84jVuj!G$pQj$uKEcL3jc(PdyC=YQ-OrR*GcN>$uwpjF^d!c)i
zm@qa>KgT9!d{#CQg8i?V8>xlZhIZof5f@I%8CSVNKW!v(0zH{S9|Ur<ES79xuVT!W
z&a556!_kf~INrHm%R=$I&Lv{ked4jA=qYztNja+$JE^v_r=aDz@mn}fHWC-`QRoIf
zBb07cXw!|$6XD@ezZL$Y(hAwjjvP*T7jNO~wC<n&Qt-KW`8vn+#r%m_=uCtvzewa@
z2g2QAmYnq@kR&0({-4;F2@9#~&0WtSD>uK9)r^dZ&B(bss@y?8@-NF>x5i1QC)3R@
zc>8=~j5!rx?aXoaqLL2UX?wNPHrLYHtN#F52Ysqc@J?gJ+sfMzk1R!|A&^Bk#A+Vb
zQ-9%pF|yZ{MYP58FUlY1I5bYk+sCL5-?+%1lm7tD>Z5MYqk3;hxiXI2PSMLC)_~=l
zX~q#YT5$y=h0UxBsO54}+!$B6lO$AWa6(U6q{#UquW_t&^lsNM7Gi3a;>N{3SPD8O
zQyy~b02a;g*WSFjzn#ie9ZMiouR^!HoW3f~L%2TNnXq}TN(Xjp*wM&EQg<iI<C`H%
zq43X8$(h$|v;`R^^0_wK${jQ4T|pJ<If~eldGa`Myjcuwn>XuPu5#^}6Rs*rLIIPi
zaWE<1#ARi>L1eJgP+d9J^3ixKh06J?yWMaGuMO<zgtw@TggyS0$Wgf-PM=p`M=?{R
zax8s$RFe4@cTF{ES_<NVn#Q7{q6V62Zp9+FlwxH%jyeHurIzNHN$N~)Y%bu6nGV=u
zi_?H+GcMVJETSdZBDR@YQDJErnOVKh?|t6`=kO1Q^E}_@%lF>Ta__xUU4G%8=DO|g
zA_U4TXMdL$H}RSst53>-E_h$VOPbd;kNDgHnMY0B!n@<4{L^`l+(Q#xHaq`v+9Ufu
zFak!@6)QV@4AF(Xm)ell8=KxJJ=2vNdQmGB&NjJz>+Y=Q=X^la)bw^b)r9?(c-Zq;
z!!MgB{u#0QwEAo0)_2phxhGz3cR0{3s;2iEH9r(pNVeia7vy+mm164}P};z~ONo7F
zXts0mTV$I%kYQDq?mfr}C>H*{aPs}evXh(gGEbf#dsSQJ>Y?8F_}T8Hr3S>i^S|q3
zE`3U%TIWr6Z%rTJbjBbWr(zy20Ea-v)W@uuo}Bq}nf8y1Hh9cbjkbOmx^*)@;%4^r
zyP%R@T3KiJ`1mV}sgB~$h(fGo`BKLFyJr_SUn<!!^xsh!#O1MDa<}*E2e}!DrSs31
zfZ;$li)35AeRDbVmH7Ef+3E17A$|Epw68m0vjYoRZA0?^ZJ!X*s*-<<q<cCbp7cW@
zewF`0DoM!9sMsF!QHB1@AB`J2$}F6p5^E$muQ-S<-;|0yK%G}hQ(e23dJQ=e<@X?A
z_|aH-F{<Fk{i;76RbNgpXzKEX=U%q@PewU~YqK@U?7H-3OWh!&y4-QtCp=wzhq1|O
zyx5%jA+zbMF3<UG`$x$hA4O87%53aL3VT~Y81JI>8_w<>iEX<Ed!dh&6C*hzthA~8
zeZ9K<8Qu8vG02+rZs&u-*jv2qF3nc_yGIxQ`mH(pRd7^4F0H@xx4-XCzcG3hEB5*C
zh-JtATb74B{pu0{3gCm(^@5mGssNe;)eHF>)O1+h3qhmE4QqG}+jyhul^9gC<HM+8
z&L-qp2i_8B$Gmf4AqIVDspiD~;y9C;an^K4;<*d8_!Ri=+MHM3XThB#X~K?%+oE~^
zQW8pEQ<x`iRUB<1RafqG`*1XQjoaDyyTE4H^-Q0a78BrXNWXNL<8pk+gv%@L%MO#}
zF~2ZQIKS6m-N#COpr6Yp*n|z8TPAM%F{|mA(c1kRhQ*}WtQ~R3He1a+>NvOS$BKFB
z<00#*b-z9zp>^`#96XX!(LR4=+dkJ5?9orFK?}2Q#!o16W}q>LuUuR>8ur`3z0G$X
zji?gN(vO9j|GhIf^vQ2Wymy0kBNB3-`=LZHr4z)@i!*5du}aOCWA#5dto+yL{qJ$F
z-a&8g(A<6;o>+agRuy`3Ird)h(<-ZXpsk~qyY>B3GEL#n7mM5hS?%U>*2lqB<A;yM
z@2je{KD4-^F*JIA@bU7|9X5+VCBm7q4ZHKVww>Lzbl{`;dG{}k={}AplaO4Or>V`k
z!PMoL`08I!Y@;Ojz>1JvM!&nP{_@L%vfsFSL!STrs%34g?a2`XPEX!g@K-retkmc~
z&F{@Ckr>l*b=iXxo{nh_eE(zNiziKkM}aPnV-+snXSTww+n)zam<YRV=f1v{w*UUS
z>xDd6uQ6}@^?B@<RE~K&X3=DSaZ3#un%QtmrQ7CrT4h99bK=c9-&-w=yylU|+%I3=
zQaZSoYu;M9xNh8?zxxK=#I5Si`$to=jK`U==W6V?kH@*4()n*}ev<z$C+};O?b%}*
zQvdhneL-1QGTRf2p~xqmg8ma_zwTUmW&97PFY_s);0nvH@xh$PJGVgGH>J2VU~BB%
zF%TMgkz@(oro2~$;B>AUyNZxh2I`)^*|xa6Gxhe7Ca5`wa<AO8#kVGVYg;V$;===N
zZmpgzYWo_;sF?i`u6(P<PmQy-Y2$Hcy4KzJ?{8a@`|*>`&x^m@Sa$#U!=)9V>1i|m
z^R8ooU&BGz!E3cP+uxmPB7giGP^YrEWTSTCy-<W0)XWa01nmP9i@@Z~YqAV|tTc$s
zmUU0xLht4Mk{*yz=3ugiMxNyRfu6oTUZ7Y0SaB}<{(&zCeYTz2nSZKXoRgY!CoJc|
zFAcj#f-9XaSnL+M-_3{-?VHXL6i>&rrkJdLe|0&Hpr4JaXyg0(d$Xa_(`ZH{lefy4
zTDal2d1%@*VEX8%D-nyun+iQlxkoMUnxhIovHL%8zZRQi)c_+=fcEHCkLY+&<e`c0
zMG18yS2z9J1e*EJrxPgA9=mb%qTAB8?`5RY)r0U&M@jpI(U)uQT*Y~G2cgr>JlZ#{
z>VM4sHR+h)KYKL;;eWe?JM2!wV1hkyk0WlryEZ?6v~qK5o8TFusCdN;`t!?+Rp1i3
zPuR)fnDHU>?@$i(;Hp~NOFu28en&gJvTXPK?~MshPE>clDt7&&pA+NW(O|VV^9KJi
z)kEKM<nNxF-M@6j!-fXJAAWOu7GwE39#-|*IX&_Q-F1QRU-;>OeFmhswfOdJqT{Ey
zMPc#X@=>w=pT<`*+EPnyxw#to{?E0)H@?0DC}g8NRaB|LROb<2^AP!y_!EH@L-bi{
z*5S$5oyU)!earQHcIK{c>w~PKH$NK<Zp!K`47}f{A|`$&=m%|^@}%xNXckTz^HW?G
zMmlfBNI5HXH_Qhg#ymT8j7IvrpQ%$u{p**|bj{ngJLVnv)|EBbI$VITDY5neCH!>P
zCb=(JuvZ?k{|#+B<i6eJ*OA#I!gTm|w-Dhq`>PFiORpV%yaIdb(oD>N^z89Hb+V9y
z`;y{pgU_pVn+K<V*#Wp3?u8zT^YHx7!XIal{r4c^+tRj)qD2_<WzCt*UA7<M*Z(q|
zytGS?T%%Wo_Fa2=95kKJSzn{LF;=&^Kf~+a=7i+4(XM%m?xcGKKqFesz!>bti?oW{
z0&R7J>z{93J|Fu1T=@E-FPml|zkPtGFkjWs28PTI>@7RL1(V|;gC;hA9iLts;ZUA(
z%$qQ*8y(o1{PT?U@4FW}mr1(Pr-{MDtG`4YLlwPy6Ae^P&I1jR=+E>;k=HI<ZCxZT
zG=H5Q^qeCs4=g--zrng#U0>h7(W?C!yX6_kHx#G)&nG(PI-316Qa3pn&RX<+ELij3
z2rzw=Y_UIF?+9WJR=p|u+O{DKy0^@~>-&Qi_&_H5OpBCqb*LR0c4(91+|xXybizpe
zOzwYUY!SG%{d2bkNq_m=4-*#lU!+8H^UH01|M<<)c7Dp!dnxzf;+F{@_i7=#>ip*H
z=X;Mg??eAsapB1Ep8T2@_4soa=%^{omYx*Ld$G#S&-q2CMY75;w+$HDk-d_t%$N)E
zMny~V`-pq`#)@rsZy$YRVKSTbZ(vi)_XB|#^xxUWRKQR@@A73SI@o#j;K_g2U#os|
zF>=ksor+WkrQv$H8?1)g0Gr))Q~bah%8ru999$8RxJ$edm!~-x`#DQRWF_?!NcPN*
z`4?2Sp3Z%Bu^4p=QOB{;pt~NvFmdU~=!0D+FJQ+%`Y%Q8`rz(|TO9@}O@qYzu~MI5
z^X!japWkMyKSR&*1gtNCJAbU8!R#HGUJuS}jN;zFLz}l`^(Aa0yy@7t_V1+wAJTeT
z3?8=Fzu6VkTeZ%_AwN6F@Th3vyXw0|=AmCaGRM&mUw1zLd&(`O0dpm>ea<cTx3jYT
z6E}Y|ajktj{CKlm-S1Pd1IU>pF-J3}^Y@*@MgrZ&iyVpjI?WZG-<<bhAa$2>TJS>8
z`-eYYSm^d>&zSshMc0tH(2y4Vex*`56cTgs``-P>OE1;_8GY&6npeI%-kxk1xzp@d
zKi(0Vo^ftdYkK)&M@D;*z43Rign*!Kd(tklQTFecqS8fxz3d)4u-D|f$8z|u6mZeE
z0H+xBeY*0A-{Q>Gw;oQJN&zW?y??58Xtv`Y5$t!bP2^{xEk3hGdrzDUsVm#eS4SX`
zaIoEI_tSg7VRv(SsRj>zA^lfvFyTF<d@NZxc<Igr2wZ!j^3fUi;ieUL*G`q~a#N*M
zksXt^K<A@A)#rG~<An44J<z`wYQNlWy?8HY$=a{(@<3+Kq~)d|qDREbpnEo#54nzY
zeQPm$a{cb_Z^!ik&SMo-m+w6xSTXNBrt9{eIl8jQsjd|j?>u&nFPRH$3i3Cd&pJQW
z^2j;)(*aqu&)%|U`GY67k7T1VZjGJV;q5q+ZLI$Ntg|GhvSKJO&a&>GfPkNmZmAr(
z<yFx22o=%<5J3UZv5`}q4YE3t<^j53{&DNS;$vUL>XCa#!cT5Fc&ss0ddlzML`?sE
zPp_?qLh=irHPtpV_nStIPhN`u=upl($lp)7Nw{!->OxHF>TH=7yCHO@ehtmINjU*F
zEN;5n?LU1b{%gliwy-0`(803PRJHV{#@xR+Nozb-+N|43H#i=c-_R$$liC)gP<st3
zpWUnZ9{vY|y{%7hdYe?Q2<?A@F50WIz8dlA)w#QnGHB6QPZaTpNMfaNr@df`-eBZ8
z&+sojSJl6LJR=zX>*0?Tzb%Y7-<0|kiaHvN>s_w>Vt3&+G)wYg+nM(LJ&4oTy>$N1
z192Tazt0H_Pg`C-i?Vq;-?rzV?A-&&?&j>eqXwJa`}i2044_T_viU{UzkY8^M*b;H
zTaj_T!CaLZmmbkJHPBtO(<yH1TWI3c)#<pMZa1lQ<=1~XT>fLlk)mSnr)^mm&s-+a
zrxy>&7MibWmGZQyo#4i}=wAc+Ea`axVr%`VQQ_!+VIx@+$#;8ytVniu^R%R1!v-D6
zdR7w}^b$JYnBwq@otyE2a@`B~Mj!^)UFzH0?5K(*ZaCl-%bIjK7W#nWT6(^5-J#lY
zgk{)HzJHfErxN#bWyrQp=pmS8C|x)9-}m<ECp32WgQFL+6WjLB?~!z0(#ukp&b7yx
z#M!I&O1x}VZQU7l@!h6d(KjBR`|Zd>rk!hU*m!V>B=1w{?aKI{l}mL4-!8RAJxbb@
zvh9m6lO}I|vfSlQ*ZwMwJ3lG=w{_>I!Xvi6{_#DxPv2vAHE&2mn0uViJ}RvW?6&&g
z^>zaK^YQG<zqReyn!~92_hpuAROgLwP17;v<G7Iny}w%bMQ6j;2Ylu|?w-5HPqE#9
z0@Vcn`w``8;}k8=Me@yllIC&T`@vTQvVffa?`J#xmdCQH;r*E!cU0^*m%PK?lb(|A
zVa0CnWS<YbHAc}dokt$YKb_W|Iy6>P7FhD1>q_-Q*Bw=_9|=N^c)3#=WP*kEnh%9%
z`TvdnSV8e~;J!sC6LEOtktvtQ>93aZC+AN+ZE5(n^&B~6;GX7b>u^ebla*v|w*LID
zuQv>odzxR!N?@N0nf@o&Gd{S0RQ$T->gCLb@z3L&*t)Fx2&1BgAJP?DKr4RwY31tw
zz5nm$Ppej}{0X#bwJ8|331hYfzIg|BJA{IW#F=~kwjb&B^WiM~A3r8m7_3~ia%IrU
zCq*9|08z1BH1N+r-@q53U*}7suPOk{dVDSY_7**$^Z35{$BOp=W6_lO?c<LX*NT3u
zIOs7O^mQ*VP4Lpd5;C@E*@f-;{S6x>`u}g&A1k<&#2+idgMO^&1GM3J{sjBSiZ%)G
zs~3vylZC*{CQZ?^qECRoIHb@b@!JzSj@7_BNc!YqA9doBqEEme&B~yKE!1KQ#PdMd
zjmn_UVM)b&N#s=g`e)xdAQT7%kGKEkr$I19S=O!}c0+a{SmB9frC^Lt^De{*AKRY?
zuBdgDeweAtDF)3H5+u~1cCFozW|nAv<^AYqhWh$cmThq3z(0MdA|?U?vVw{oxs9*C
zjJf9Qo1&7;m=7mKY)zpB64h+NUA)7c$|6A=rbefNmV%Ke9xHC%c9%nDA0M%D`_y3v
zZf(&|IF^*{dbF42AaTui{ir5FaH}^3c1v!@dHLstSxxS>h)rrvU(`r1n`?-W*dz%6
z&P#hxqDmyCN`(F%EHX5CRtjQS*+b`Bt!+_l%+ZHUOcBa<?aJ#1^EEI6aJ9RT4U?gR
zAUFp-VB|6QciF&e6dOD@6{*I@Ve$q+f7B1-34iU{@{-A|)MI9skd+P)3J&<4DI$a-
zoytPVsz`3*eb(aZ%5@GP1oN-pwJWFWFxP8=1z2>TXN~^@zC~z@3!3#XGDE<@6326+
z_X9@%LQ!(E(K8H`h+Ie^P$@~=sZfN4q9ncc;O{ne*uy@xlmyd{5|z!9*(7e!-9$AT
zlvMBNvBBF1Y*`LAwTw&90~&E)$!D?%0~T`HG*VId#>>KfZO4DuN4BBMn9o<3L=&Ma
zVsxC1V#H_^GqDbI5sGc&b}7Zo5z}Ltw9c(Lc3vSbt-eL1pfvu`5$5X;72RXN`*y=L
z8!Cfy13#b8#oLxYUC4jLLRBK(-hgAY#HvgZe3u-2F?D;@M99+z!F!HK;wz4kBp}q~
zb*?hi91RfBac`G4&*M;{Zk`9K&~VAIv<Hmn0lOZ9NyWNq(Q%sWI6*u*I{NSwBtbnP
z+mTs9kxu$l<S8MA-3i#}(4XRHgx^XH*v=MPJ6ZgniFo^$m$ynRYuCWYN)3vSBUqkH
zs`ti*-GqOnK_Ns)mQQo2FyM6GU!)~;(OsaJscmH*EKkwEC7X=YBp9$QPoNn+P#lhB
z-h*Uq=R3@lRC*uw;o<SrO+9vM94oHNry{ew^ONL5b1(w~Gn^$JsuTEG{aE3Gn#}U4
zn<{<rb0NpZMJXjyJ~H~x_F=yNjNt|Quz?+v<+SnHWt7npy5ZZJ_iLWxAiNRVN@9h^
zVNzj=pDQ#YwLMjuq9pnkBn4CH?agx*4(V~4bPig}cLFU6P2-y*=UX>|@f>(NN1Lga
zZ+!Z|7j|vgBYE)3Y!b7X=O*43NN^U0Dz^njsXUEo%Y}m=Lf8Q)(c}R5gUG$q{VG8N
zai%2IC)P~RCb;2@$cAFOQSu4&3`Rt5AhupMnlP5AK8o0`H;fy;LC9Y&Lt&Q<2>2wO
zz%kp`g3Q}E-{11i35?P4k(CG>Iy?$ej;KEC3`Umq0?&_QwrTK+ZRBJnP+a;IBUXqN
zFMZc9ZtaDXBF<89aS?Q)S=W)&L7pUcbY{#VI5>Gn)jUE|ZtsX*d-J%{O@F-93&RZ;
z2l?brl&jq}t9`y)HbP?c#b+6sJPoW9jF=qPU|>u05<9~$L6#C=$+aR6YZS0`Sm39D
zgBx44En0fLeg~^6wKkFms|`!(ad=B7@L*q`aN~C9iJU?Nf#V?#ti&a;oj}(Q9>c7!
zqseyT(qA5ds3eShjG{GVm2q10ZdQXmRTd0M`qXJZRi13{;6cocZzZA33)nh@zI)o;
zAU_|Tc3>S!n5VveptLI>z0dA0p}(<}1S4moX{Za1%TW>#G|s~aou1I$-=Zs8pjfh>
zWW+_>v>UtviR2+E#Ec*VkcJtjeD5^gO%|aJwy|(5Y<l5xv>LAH=cU#Vo~ktV#B~T<
zQYGF>$*>gi++}4Hq8-mkQc=w!P>H({+S=UU{R=_T;Xs9ZH-pS$V7_mIfvuD@{0U@x
z!ro4+G6bvM3(ow40Xyl6wPJ5?r%n`)w>Zth0grf&HX-l*{uS<Fex<oG>FHg&@66#S
z4+c7%fvM{O;RvO@VQB%?WxY=~RytXmX_F}?ze`L{qsvv@!M8QGxh$H<g?m75ZH6UR
z;;@o~$>i!rjY(1kmu-!z5h|h}%&^RO(>l;lyFwR7PbNK^`j)|zcLw3<W!>WXgb`3_
zrTLYX;k-+#4Oonk8jcSt`g3s_OOxciO$|FRM@5ncwUem3$X?f!uCER&h3QO*Op4L<
z#dPx$7cMdTq95;aGW*n3-V5IzHkc`&ED1(W0cH8Oqs$y6mL*Aq6dJ0PFy3dOqQ_<q
z7f6*qnL^T_B!ux-n@-7LDr==qX@-_KRLp{AYcz45wj3K<ZCSK)OxZB^<Z`1z#gv%9
zKIHgTCROD+5^H~xC;yt`QwjIdsW>%aJjYC1<EYXc8(2*xLjT$sDKN|vgOOCaA2P_$
zsI#0f6{!!8U_3e2-?)6fR=)Ut3H`t8y-lo2%M%%MCfF!)YJuexHw(5p)Id=x(R-DJ
zhvPi*B^V8~{QZbQ9OVQ-VcZ<D{rk^bQ?=P~1O}GyVBT(?mQ+*l?kikdEN-i)mZGAE
zhvbWm%nV2<oFMXom#~p#L|(EWCxrx(PExhmUqd3qSi+2x<Rb%Pq$xGqvkwtyZJWw%
z50C2?z_D${OSa`#SbWn~!h<_GFxI=ir^D$3#(Dpl-qi$bF)^6m;82tX`jAeh;NKoI
z$+rzlmBT-G@)V4KOE^LrNQvVo?*&(n>M|<BKTD{Ep!BGu`kk>pU~%3Si7A_4T_t*-
zn-!dT0n-Bx&mxizT8%4baY^sG(;NCnnE|5h+CySNu2%b2F6^JLC7MxPl=w7I`ZqJi
zdCD2ZPDfUh1A=GBPm`WZYiuP9^K+ef)u-LsI~tc^;Ek|va?!ztPM32y0w}>m6wbiy
z1nFoVX&6hjGiJa52)C{bG!P3lRk!T?^t2NM!(io9a5#Mmm;)r?*{|s_vl~tV5(h}A
z!#rFs6kVk~u{hH9!XoRHm<}lif<|1lqVjbH10&75!(F_+CR&vf(@LlNmpG(KhOaS!
zp$$x7y|;JZ@}6C5K~?!s@ESHwar~SsT7cYF3c)U8EJp==LejXvJ66XH>9HAD?{&U1
zF^#9+S?|nK7HqJ<w;_bLcs^MOcP7SUuolI!65_Ogc(N9ZDqLUj9&AkKm|2y{w)Adt
zn*6cCnDb1-S>No#4)$e7Z=uf%FlKTBFX_wW+e~4hW6(B9DwnAci^URIkdd8=K8W>1
z%A)U~S~wbGu|>j@jS$xM!>%{=GrN-mc}aqR_0_y3U&`={q>74$EA@_!**3O)C_cO-
zl!V|>d5ZL=PL59}$N5zKQ2OHdU$+s#-Z8Dgcr~;#4*uG#p=594GmGF{7T>3tfuY%k
zwz+oNcm@xhr4eYOQ<MZlBN3Jam&&|DVjgm=K8JG$U6K0A4-Bt>DaTkwKtu79+AN>O
z!`;+dWF=d^&P)U~7|v9-A@i})%hw0C;Xd?VlE~dI$}Xq5T2BR28-em!ja3z6u1&27
zm9=v(kYJq7Kd&!@#A;s#<8z}I0<VfO`p5^WyqgLcYgbk67sD_f5-)@tb}5I6S>~M<
zLvlAAv4YiHc4>OD)QqK8lPCR2H&Mu(oGtXfP-;tR9az^O0@<dDF^YngQjL_GI<2YT
zYqKV}&RI}+fx&m&n8wzYIC{Ur{7QP`6WvKjspq&l9?T-9kB>i{O=k|V#TVdT0qcA{
z2121e;wj=ZNij<k97}puBb6zgiZHJkB+Vl*bem2O^3XEs^4c$>1M3?W1)gfCVKX{L
zZcXUZanmc|J}fHGvX@FF=5<B#;>HDVl_qlt0lGd(wAlH1QcA4%_B|$w2kmT?Ug?oj
zrN{Bo!#<Lhds&bTewgnNOq<1nt<*gswJ1J|WCID+blS3pU;5f|kEI!HewDn#l(4VZ
z{sgX~6*|wc5=F{ndR};1?GQ>h3r6+Wn93KyC<X>2S+?TI6qDjK!F(5P4{gXfR@#D%
zk^S3TRju?REGI6EmQa8^mY6wUgk%xex{_^>;H~t&b_!<uG!6=6n9Lw2iR%q82}B@w
zJXL!fM9N<PX@JR%`UG`3+$Rm%06+=Yen=iuds@EQKeaxvaxJ(!U4pQzGw%%sBCM@5
zKSfL+^X(o4jETbgzxuADpW<PJ?tNDBK8istg}8n_m{w@q#*$9?Z19462wAoO<d6?-
z7Snu8tma2Y%bcF$h-wZTfs#;mZtx<ijZ0G0y5{g|WP5szL+2CDk{1#l#L6g4*B(&N
za)TY#gB_le#6;k>gRiF6glTF92yT{>Dvjl2naA~RF$M@%4+jd@*9ZHTmc&@ic|u&r
zH9j$-?wPIBN9rVQhc=aJr%$-wJ8^r@kw8LdT8jeKl}$KZK7jwIWn7n4jm~hy5<LTs
zJSr;lg=a@&f2>#qY#+jI#7~=jYQ4MyE~d6wJFjC0lNUnQ+m*r6`vOdr1gz8OWaxTJ
z0v6O{BiTbIu-^Sx5wJMQBj#z67Gb(Rv_#J(%a4JrK6iq<Q7m&wyZ{^J5J-TBfD*tO
z6Pe0)9q@ln)iOLRB@>rAPNMY);L(?@jvlFxEp%ozycBpiN#<#I96^-tYb(d97#<^B
z+0KQKNAM*lOa{z=+5WOh0DA-aPH_wIpFuvd?)-D_OO`D;xTMcY31?5N2KJ~Y3<-qW
zmaV%K$&&xfWPzpirOhqWV}|6yLkE{l4xlKIU4bU^FlIs)41ARbtGcyT3`|CoRuYE$
z*+}Y6qnmMV^>=Qt>b+yr`x`i#^|8k3wbqZum*9gM1AFLkgW;|SbyCC27M(<8W_OQ5
zG!}Xod8EOSJeVt@?9P1E{2k!MZOp5>tl-iOmwar~%;I?yam%&-x-Wtc809JUdQL>L
zKO_rJZg|diJ?LxMiBx%{nkH3J6}~k*#{@+}YOx5a{esStWC^>=tB-ixE(74^I`IF#
z+xy|N0T(wXoHa?t#wn`h{Z>z~9wIsHo6M&-(3P|f9w7s+e__iNLkRXZu3j~$;~vmd
zuH()F%+rFNez(<#urJw*+?>vhDPOFAe<Qswv9>j-;fk8hrF7b^4WsAK%aO@@1{bGj
zh^yejJ|v=|3N+Wca;_CLzs`$LA8J=P$X6HrSxsYjJM|*ju5@QZ4JP2US7Zq+Pi#Q$
z2|P6VLeYdQU;G6nJSM$-v#(_Vb}V7OpfQoqO_wc$QIup?S795=$`BlHfu$zZ2Q-|5
zM32O%6D%dpX3PiUN#TR;q+5z#QlE)7le5B=Y-EoDucq@|4<O4D^x3|)m3S(xFl;WS
zaa;<k^^QF!QpQ~EjO2Y?&ca-i>P3Z^3ut^rt4*Ny@$ki1>FJa|r3<lC+9%0;Ha%vU
z&Xg($6nI&=8OsXz=S{$$ERs4okPx9#7@mRM6LeGN;q%>L5!F$z8tF-HVUUw|ERs@%
z?s`#4tYg4g0CB`psYNWXJ%6GHOG<U!?8O{05;IlWtgj0BWycTzt9TrM+1P??gUS2&
z%f<vY*flvU!>3!+txqB8idfqq8rw@Hvlcs>OM9twfAlNHOGc<dA6b9T!_FH?k#@Wp
z!Zu2K<_XG7W_>KJ(CV~fnNm?ufz=*b%KBahWa^2<uyfUoGP-?5H8nniS}jn+qkO^j
z_b5^!tk6}c8Y*E=WOaoGG)T*WNn1?sBkYLSYzj7+<SMX_3$g@Lph@*GOX*9RZe(U)
zjUkw5XmZTZD&H<Nkc#c{HB%8h1=+DhWo$5F6^oTa@!D6iKXsBIQK7TRUwEqO`H8@7
z*t?r_MWq&rY@{-mI2O1gyjL^p=!F6ZisoQ#CyyZsuy=;WJg3S+Av@O>hIn|zD&lMR
zO%_5ZapNlVfMM_E9=b!4ag&3((1IH6Uae7doU|3dIsy6v&W2K5Z{sz2jw)*U-^w21
zhm>2XwGLoRZPkh34U{d=v!zZRv{tCq$E%~g(FuB(081GfZ==Z~1r@RN0j8zAuatU{
zr24ZY;GODeHw~RBi*p(L$-R7BZ8$)9DR)9tfWt3Llv<!ut{;bwjdv;Xb68X|&w_y&
z>hT5BG(C_@gKu-kFOjFh*0fGl4@wU$(7%RDB=%{F8E4B*MogcX$AJkv70nckG_!i5
zoi$cxQ3S2FhHzd|*1i*XX4SnIX;@nBu2szGEA@#li4bDm(+9D%BGwlrC}$Y_l)mhd
zjz0y(@=o!RW(jH!^IkjU7qN~F217Qi{>=y4gV2qgmX~6!bHc2Hy||0V?5FQ~{*Exy
z6@NW`dI_sa<%+oE!!zid&^`3JS%w;C_o-jE48<j2ke2{Ds@9N@dIGWfIMFtezYQ50
zU{;EO!4649q&DM+ATNzf&YjFhM;vrOpp_X(_0B*@QK92v8Dzc(eFp@)YYD-n_@Q_(
zqL{$YFoGSo^jafXCi6i)?*`hJ$M0Lwoerke%ykIiM|9~j(m`}HE699OA8|VlW&y+c
z!InHZXVX$N8>Czb=9)Zw#2uyh5+26E(6tE`I|T*x#CkWe1YLtwr2Q|Y>vD8-Yf&8p
z0tZ78msnC@DWMAj8VJbXLh#A(FIK18;9>%oXvUI?D7GOkki|xc)eE&#r^f9=4xK?E
znoCSS7u04!LZ8aWR0PSz7fdZ+ErxK5g;<J%^@Pf76F%1y0f2I|4-%WmfsMx!-e)>l
z0FZgz*$`9hpetV6Kz~>&<a9Kiva*LC;5fkgtFJ~JG_#Vr56!nI7aa+q()L4bp3rkw
z5Ua!!!Ku6AMYf{h?3sg(ZJ?vBj>B823$eM;cd-bLC64;YmScO{miatz<s_kNW^!r}
z7I62`_^5`;h@RDe%ep0{Z;J@0$%HWS7lRj_)id6gCDmn2X(Yh(p;PHHCa_Ao)WgT3
z0{8ecV{7{@q{Ek5`vGngK=_z?l9&KcInBEO1|FtjP^%jUEvZB!GrIV$Es<NB)>5W<
z<az+SNr7eC2ZyM)CN(@S;(;umCz#~G-ZL&kP13QVSrgHrfx$C%7}{>aoZ6q>hR0R0
zt;)y*(lkueM{|Xow|7>xdG!BtZN$Iay^4>RB%VHaMj>BIIGk;<0imq{xWDjhN4W$o
z!8-7n-=yXS5y?q|U!AN?1ys#?KGecpK02;3r{eG|sSsY)O)u{Xu5|PRYfp9X=nQyC
zUo1>?u>T({3nyn)*>YprJ0wGm&#3m3sUm~QPo2n+JOER}nVv9QFme2Ip<%TmI0YN!
z8PK{AS@L6r8xv>xS>pGs*iNZtM<>xfFV_Cs8NyfB!P6+--oXj3bSw@Y<l-tbkt|tu
zF3?dCtTW2=15-XKo|Pz+S9b(afux=G7Vuyl|54EA6y6DHq+YDwkIzB3iu^(Z4(h=1
zYCS8?8^eRkHE!Y#QKUM~sjIsNO63hl5$H8Aui>u9`cb%tk&Tsdmc1wY-vviSWo4Oi
z7gy2^grmlR)sYPxC~`}GdUr4?W`5mjfFgxX$6=Oi=4a65!^cmbDPk4+a6SkP;`)Uz
z<<~5dXiu+pXxn!3q%DQz4SW$re0|Do{3^W!_GJKlKz;phRt1<<b{twBAS6})qdwmN
z0i@n6+wLQF$;Th~mq<2b@aduW2_$<0X%iqi#Z&l~d=Pi5VMEN`2_WnwBjZhVjs3hh
zQc6z&liq{WpUt94oRXb^#-+XP92+>1RUe~C;wA^fdXjBhb;lw*?Og&1M?Awb^%AL6
zHP=7s;S1KJ4@$H*uqvdkY@!OM4{x~q#$!t_oOJM6<I5wq0OP#Ij5*~YCuR(lySm&4
zh-D%Wq!QfB7ah8C6aSoL9Nzp193hGN8WJW3x)G!`N_-kW)fUwX+8Yql;%fm$Fz5PM
zMi@f_S_o(ec0}$Y*-3jG%vgf-QkOvdDF6`m^BfglEyGfo3}hB6lY8kRV&hCHXnQS+
z<w2#=s2U?RGRud{;|H)E>?%o!`Uin>@Kqd$2#H?&mZ`EW$EqA-lj>us$y>);iR*sC
z$3sJO@^4#SUZs<3_k!z8V8b)n0P~_kM@Y7G;+N|>EhouBlc9mt-Ic1rcXG+ZTJS+p
zmhJ^1DakPuQA5CX*0E~#!Kl=m5oRRWok{|bsLhF(07GbIxSCSG2Q76-g35b15R_0l
zJ$Xj$9LxQdVUdWZ!YdKM2`oRlg_cSPXZF}LV(k>t$t<`}Gs%u+pn88Wpm~=QNLN-?
zE|~~4mu%9`I2(!8j@{`qAzxwyhPgO8V?r6$hAi*2*Ef`qXMOp~6bT!3*$5q8hQp$Z
z*q={2*Sh`t|5S+s<u8)HLo+ruaOU_ZHp~VRl5<2XQ(j-#!R4E>Lb(Oia`pARu|VW;
zavraKb^Q?h&+8W^*k)}IWtb>2?;rc?+z#l|A#c>WEzgPOJr&iZ>C)TrwoHlB+jQ+W
zo^N`Y<BpnmFpikPm3JcgShEcp5{M+b3Z(BKFdIdq(&{$QlaFZYcg&=~!~6e@y}o#R
zOOJ=d45Q$dCDp-(mhC^AiijH#jysf+Dx7W#TT)UE60zNxJF9a;Spkh~YvAas^$ygm
zj`BhLDHQ=v(sgdeeb8RN=jXq+edMKgJbcdB&K4>4`RE3kC5{&&yZ~v`a5St1@7O~H
zg#3-&sMxr;C$LXl8!c0BvDQ->Hdf6NI@ktTWFSk+1eUqmebAgx-n*#;FUdX-4`mQR
zP-Sz=ytWt1%PdowVU+c<@yoyfwUf52K!t8#6*5<GgC`{!&I5pz|0k*zbCwofTlln0
zfCrHEZ>1IM41hZ0!-T2o&s+hU0QEhcTtg2y<X--5+sBJO>(>6n3T64t{Ry0om)A`&
ztAPkWNX1zLx)_p-(^y`?%)$;i23rJsg@(X}U#jNfl(wO$%W}dRF9u4{tErPv>7p!X
zr6VRc%awj0aUzlK|ERx47%m+jbKDi@OBs^MZW93>6I?mo&sqqSUokZOV+kV()tr2w
zNXm0`q{jt_Xr}#joi>g#a(H;+pL~o6nJc-CkKW~%6^Pv|>Txi#fJdGt=HeXku=IMZ
z97f0PTvRX;KLI+B(Ct!kNZzd!1dkEPlLAoFiMpvAbiq`GmMF0V0)b+I^-<r5oT4~9
zH&>LTL7nh50nLQ&1TPA)&=Fn|C-F6@E~rW_>n3WhH?`Tf&5+A>*UhFN{Qj+Vj1f?y
zNgDx(VFGm^xer4_Qi9{RKheiJ5}W$~Spf4jh^P;^BxBxc^B^EeofNfwAe>Mw?;=ak
zodQLA4N`_x%qD#a5DVe|QyGJa5_FW~5~Px>P?&z8kACKC3QOvbMO75V{jr3O3dGO&
z@)f(H9r{5NWM;K!uTgS04UXK=D#BUM(V*r@jrZAJ%!>|sc5aA?D8ANHWAe`zLs#2;
zun=1gGP<Qs0+hl<OCodfc>3%*+R<J>5<F#koY&;ICCkYIr>=4wyCcm%>C|-J@(Qb-
zP;8k3l8%h_(yg65zpTI8R>$^d;VWOq0xDw=%eJKIiD~Hus%|Qhi(5#6?`UFX!!I(>
zGqLoLO5&`YwA95nhJ&tUVLCN9?XeBi#xm`0OBzy2BMAd)E6Wsu0(-G}%Dh9vf>TOr
zON6>2rpH5eso9WpK(g5q|NiFfJ-#tO?avknJ#}C;nIU4M^}&9z?+3XFrRnmY%algR
zY*dX#nB%ygWP~dwOlpkjER!^&T$vt6Lj&ic<#eI9BQPKJ&o=wugkg-f-qpga92|9;
zUZ-2OP@6#%L$VQ^815aav6A2jAzT6_E^-RRjSK)JB8e|5c36Opg2A)r7;cw1fZ(;J
z9#Cy;%VZdxehS6pfiPUw@rdeJ<J~XRHM4=yxM)I?Sbh+xpWzMHS#?WPPq2hh1#j77
zY3vkVN3ky{mw>@m(keWaWYK*#VVEA@<F%Mxzm2eDgXnxB74qR}3ion6?t&vr$gSqs
zSoPONmX*acHuj|h=lg&Kkh{-$JCD9dUVBB5Lin)$>75(tjg0~e^#@OMsrw*Nq^;4h
zHIhpd%hL4}>O#ou|KdiC&8B#8^;L%3R1)>6Lp=~n5@y#qnE~puM(CyiQ^eCgp2lf4
zU#qz6Hno4rOW+2(Q$uE1U!q59px~g=A1mVOA5IM=twWRJq8DiFlv~Oi(yjns^r~WH
z8SQ)UNww4W;c0jkp7x|-)@&8R0jK-Di#5m(r~f7Gov4H}hcx^r7)%BuAJ9TrjL0Dr
zAnYcjQ#Z5ty!yDvQGhQ?FU7GcG4y`~B3`1lo7f`j-GmiDqV+L?tyez1!a*(6!}|Ou
zx^5xV&$14<gN9BBkKsh}%62ngV2$PY6FxBH)vgF<=kA#9wg(Dc<(MUP4sYYsMP7_8
zH2GTf`*hOmV53Mkcm>Sz5x~7jnzK19eR36E%jG<&_ueYWp(zPROdDsi-N31}yPd3Q
ziKz{fG*m|o!n2N*;SJZfv9#10oDxt}0>-)NtU9&RfLI8VA8<_tC}h3!!husf#`S|@
zc%MCIo{?BFYY~LRM%fIkx#CSSqmHTloviKqCnP0`+>mtkgbKOCQhID#U^L0KvsxM6
z-^lT`y?nzI%J{nsO9diQ()VpBz(&A;8VHe<X^0sJ3%eVO4Gx_7?X?-7@DY9tWC*`+
z5i>sHYvCBHsQd-<Dv%Kf#3@I|o#txkK|n)K4m*04ZU&+=MSVWwQ(g|wCJT3RnLWu)
z>hnB6#E$1NCksCxN`kMG-^KRQ-sVB}apns>exGDdEJw1ymZjb_sm2x(Y%s;;VO{LB
z4Cly~?h5%0V~(Tlo53CekEi2FClA{aCz&Qmoi<RIQA$6+f#t>)J(DrrSqq^#=#u2n
z6c|4krT2dfaw9fBE+dYfjiu3&W&zxzhMF!oT^ap~BZ5D_qG^mph&p@c5B0=~3Kk2X
zrz!HeptW87t!?(=#@1lr=jn=A4hUTUj^|4Bf0j8OrPyAZii5A3SO(Tw<fF?gx1J;B
zbyS!6R9!Z9(NxweEw&`5R^<fn#n&m895knM;V=Z%<A4nZ+DcAQyn<G5Ps)5cTwMZZ
zqp|?zdphw1`}+kAB+K<yr%mc0{D5*tbvd1yT!jm#O)S@-58dpeRN_QRP=R43p~=Cm
zm4nAUUEYnJrv54YLyc!$&jNcWnGCE#Y!T7_ucm5M%5{>t)l%@U+^iHMrwWeHNK=-R
zqGVv1!aNUW>}Li%pmAO^pOY*b69X_Rm^f>mBFh34;)5XmdiIuU4VsN_GYBz?iw>Ye
z;M<%h74?)VAvv5S5cZ2;0W&PpO=RrKzxDOHdIeFpj06Ojj>0fH@-U#j*zR(&hPn9G
z3(Ut)L9J6owB@Z+ytsf##kF$X=RSe2tzux?a`X;njR@S|o?5FtW>P)ln8>yp?hq|a
z#8KY`qoS~`3nU10d%aJmBixGnZ$1{!L0sKNI8}?x0&Ct~#iMKHM8k(?Xk(4@^KlXD
zcmZ&Sv!cA%L1BP!8$C@FX}bm_<xe1g6VzDJg`~DH9bQo_5t1bb?o>&vcn#Ksx}Xh2
zAY;a4fQK_S)P{FHMTxPh3G%_5Si=l@i>_XE&`hK27U923=HuXgfH5HpMV-*fX8Adx
zNi{{K9sId+Q5gm%v|>1byXl&(3;@JSRGROoI}(#N7>mVhXmi!Y>q@7jGSx&m*pJ-f
zCEi&_rhH>}i{e=n_mS|zDHQ*SWX&-TL+o<;bn+UK7w>~+gYpjZ!}zI6L%}~$l6VZ3
zo9&`@J84U(B48=USvci1=9)2g7J6E3TsaI>Ysn=6Pypju#8f&MOEl1~;}6<Tf>9xr
zQjI-OO5v`A={WE~m}0;Xgu@g4{M<MXIo97LbHr#h72x0$GjTSEs}d0Tl$k9n$jGb{
zNT^g`iIJ$3g?Ub%;tiUdO;dYO2rK}_1v#pgLvm@nKxsQuz~2i_JX{CK_XW{BQm#N?
z2-cv9P!c-gH>n6D7v#Vc63zIMXLjviS)Cw`#E3j)D}66hX{scBHWS*hzv(<^E-v1z
z3QiG*h}<MaIjMK7d23QOpyEvxKIZ@fOBG4d{>Kx0#fV)X*R{>v6?Rrvwq^ZEbX9Ur
z&~=_wtBr7q{?~1HxWlMGN90vc?FHGQ7u8l2WLPR+TTI2rwe$Cc@Tf_U?zac<+8J2w
zmT!9}yM-RNHhzhG87K={_mn+PL4Xz<w<~&3QxTeSH}J@)#FDNwrq1<0n~`BrcqjM1
zwneaO3QXK-d(5=d)3Qw;a@SYyYuc1TD7#DlFo-~o(dNV$avWAF^=aPVkooy8HcR4j
zs=5Ns+CGV@{?_#Gw{O<R?YmPFwW;x-I^BcYe%>^CNl5Hk5($|wVjSKylLU}Tb<emI
z149>U{0YxnX+}5wur?I!Nr&EK6tj&LN2lpwn6Lw`nM4hN1mG3ZK|s?7*nhypV-ZVx
zQk7E*l15TxO4^x8CV}EmImkWXpt=5B-Gl@zO#ltY$xV3wfi_Ws&7K!}To*9Hp3b#`
zeHoi?tDX1JCEYuG!NtN~$-9&}+>c+&y$2V~(5b1oCjhaGf3%R6NT)~(466>h^R}us
zy=+?<QLX2kbxwGn2DcGuXT074%uJIti0>Whg$(uTL;cB3mvG;T668G-epobcZf+Vc
z?{dJk0_?P}8AGFZdBnH*4xO5X07<7pk-WsaxCuQ;4Dq^sn}q1U3sR&@^t6f1=`n&m
zj@;vPbgF9gbG&r)z9qGwnhzW2lU9vNgM#<NjM5<aE<;a5r87%Dwb6IlcyuUqU0B)-
zzFXI?O+fd50|9rbtBP+*R~JB|rbrtbYxnDFCzUsX2(UrH*>;s{{reHDUkEeq=%fsj
zzc~;K^TQENm-;OEj86u#{PrXj7kAEN!vR%aWQG`DLW{^zXG!nu<B~G0K6tBsB`EqY
z71WaJ((gAP%wb-D!J~8>F%+SM{x*iD!r7K2m^eHldC3t&K9u)$lTOI5TmN)n--!wy
z3$mB(wWYIyF9QsCYTQJbBcTA4w83fB9}kHTcYr>WsGvkE%tRpI`Lb#woI*GzRPiJ@
z6pM{J+WBM&%Wyr2fc5$;>}1U*q=ydvR2u9bN|-~ILn@v5a)7lqY)}WZi~1~d^jv!E
zaKZbyv^vbt(xyJ-@CR+dY|#m+N@JvK(}#@<)@n}BhWJkP-|P#<I~B2)dLQl9{&BT{
zBLdqq;I#Ngfm^3lKhN4iAM0!)DZ#Qeei&&p0|u^AH;2kssV(sK@EGUyk-a{K8M@jK
z_*Kbpx+Gf^WjQJ90fQ}xi{4x41AmpcU5fc)WNuDivfh>VLaBvblyh~k+%N#3SdC%b
zS=97j^072v+`@!$F*;o$Tfzq3##he}H3pId7DE%XZZ1{Ui>OrlQ)R=THWzIzl)Yhi
zyeGhr85dHxrWd;Lw1>T#4e(#uEHm3uMB@_yEHy?+xO}s*JK<0oCnFFSqL7zgyHmLZ
zKPH?OX~Xa3oA&J%VKtbVVBbTH#b?pA{`EWReJfMoDvx|CK)6xw(?GECqP$1+%}~rd
z^M2!B``K;&_n}T2Lv{+*eGp7>0Jd%xN@N`6_?}+=it|8~o15#UZ(T4g?E(a8_g?I2
zR>1!fo2}2?fDc4l8|dd4O+m}x>QL0ko-I!mfBx(k&}*X|`s#6D(^t6Kw?%$s@xgty
zNwQb_VKI%c7pz;XGqMgJ`8B*%L1d?36xWu|R~NTU`+zHq2`qz-*PX>);~Lju$R#Zw
zywRYcjnf9Fr2wW_qrv{Bx5?C;;Un5&`}kIvBg^1kZg+w~Do2x1TdZSpUyS*J=t%!_
za1~PS=#0Un%dIzy^}h(QII9<A6@Li<b}6mr3epQC+LuQ*>q%-CDBw1k@|gv8`?ckE
z`P+kLmQ;C)w2EZ{c3S5+@YmJTX~NHfjR=H<y=?GJfKU^2y<-{$-rEPYmG@KHs!!9E
z!N1nWDC%i+LggAtJ>fK5rb588EtAxW@Nfnpm0Tk-2G}t(8?#4y-MjH~#B>3HN;?6t
zJuTS7B1ZxSK3;qJwbeq^<8tG}@zxoB!=#;af~@1rsmaC4J$D+vT%x?tsH(`fIIZa|
zPOr^wB`9A*dhsRC$E=;rUzn_!0!&5R-H7T}DX{+LB~f^d<f@owOOO%O?sA>{ZF)&{
zA8=9}K*f3T){ghvdPv&Ey$<|x{%v?%D4|hLw9bJS?#3@inqDP9EhW%eo`*JDOzbSF
zKn7{ra~P<iKi46mxokm!1-wLQrLIzMtPw>$^O8S;kN}HpgS0Zrx2g_2lys_P5L{LQ
zYbn=Q#ry*>9+DW1F=0}knyE0Q^5`)NNkrRjKg$lSi21ktO0&kc#1o{XCw1|foJ1)W
zgFoY3^|;L^B*&6!+7S^8Uw}F~>)%<>=hUwOg82`#P^wz9dTX$;?Gy2tHRQ3I_Z9bE
zAG_Su>JQfa`!a#sb7&#Lh`5gfo9s)vs%5~9d(5=maee{NBQjLW#cN#XG55jVO&)RG
z#Dy>oldkMgCzz*zV3$|Z^e%0D!dYJyA84`FrSY}w0sTQA?@KOU6iPruBN14$A($d6
z8XYX}v}n$o;)YmvXsCtcc(@6#W=-of|N7{2A~V^GQ2EY*;(Hf+Tag=B4*$u?$Xe)G
zGjTAftCdSxLvkSvareUWMo-s>GALeIa88?T?*zi0@IuXxzB5_^h>KDo&@4q8g{b}?
zG1r^{E~krvc}h=<x|v*VQAEx6V7Jwqf^EavG$+?A+2(!S0wJ?F?~)w=vF_Bh@xLzc
zmJ0+q;~$}cEe&&aO_BPPKmB*TPmw@P)=aXDua&8sYFOo4#CO^(!qDkQJm1{aj<oEi
zAJXHu+HsG$*`v;+#<wuZ{Eo&mOVFR4=-iXA48U~kT@Eh8*tfAvs0+JtZs!tXZvwVA
zvY^l+ZCnG(8*Z2?o7eCGdmPCbIAFd3+@iL1!2-gR@wR9x_UsJPG3EUYJ;aO(Q1tQC
z#WCz8tA4%bDASPFc<R(CesV|-!>p}l0vRkPFvZyPq~;b?`hnrb`#JlI4@s;j4Io>C
zl01Qp!&)7M$BR4(>x##2(Cc{h;f(X3qy6g)@<#8ct8wrNm^ZCXaFX0DJ87+z6>RzT
zq{<8QQ5q{!hC2BOU;SC*Xi-5B7qYyh6&B_NJo)M!!XfAS(}!^tVA&bn{nvlBrM7;s
zHJxP1t}^>Pa${jjw$(E`ClG-iZ5Bj_@iV)%GZ!;<?FwYwsez8ybV9UUgN_2@;tRgJ
z15-O|V|Ug?q_Q$<G{6wqNVS!w%APPyU_NOMZqI0Z@r=qP?u1V6FeTHT7MPv1nTt!)
zIK8}I6VKNk%Je>-KKW4G!AET5(PN`o)Xqs=nVGxilx|U*$qHzAL1j6S4@vB$_e2O(
zY7&PIn`N028gPysP%$5e;YNvk4PFo=@F+=P9|gqa*;AcfRj`{dd#h8M!YPknH@psq
zK&vzsF^bUA+Ste!$vfULGXca_n`IlS@r-aEzA(B3*9{TwzMLHHd8Mel5dMn*_7)lN
z>-fhJz7m@m9_={%3v2t26@e+=g<e7JJH-XTz@Wf;FY#~q-#BkdK5@{-wNLNuLY8<?
zfdftLtkw;`K}xO>=o*@ysw7xC&_jBHFFU_KXy%KdQ%8dR9}FjEV+SkE5Q^ez)g}*;
zR<+!X)A(6<D{eA9(fN)|^jw<R+2g0IUMQj8Y}*HGYwRBE<j=?bX0r^nrxo+6LT8v-
zW-4!^EyWETvp{h=d%|Zo7)mrHn2LN(XA@pGQ|eB8hb4UxYMKZPnD!ow@kA&p1(9+S
zlfej`D11oHT`X0rI!?CDq;fB(UF)NO^);rfya(z!d#7N-I5@!jClX$%`MENfK?7ca
zN0>Qc*{FC6xBqN8Pu}s?hQH7Y{5JoVot)tpUhC7C<!g4gOII}Ce0H?W`><fQOL|k2
z8NZ;JsrL%0&xVYi=a(;GoU<HMJffMC4yOmGpRz*khx33+x#hlzQF>%*%%eby@wu+F
znyGy3688C#l$)b-ozJW1cN*DNRg&b0)%J+B6bBnC5fK?NuHjzeV2j}0Y{V+NKm{>!
zs-!)GQg3iUQ_<T0&(aoqX}Vl(m@v$9+&a}QO*{!XrjVaQK<bA`evc@vEdLKRb783f
z&56{V_0IMrM*wsO&aBNlF4<kx=5-7)29g3*0c)c53<veOXd;Nk|25<#Qa2Mbbr=L|
zvk|I9hhz$|tF@yO!Ov+rN!P2rQB_5^(x2YRUr1{F9KMU?hh!R@wC8K;V+~@ar8T}r
z;vr^%)ZU|OvG9!-DEtAE`}YWh=f4ivMPs$6sz+sO7lFE5(ydif^6#bRWWy7vy@Iqb
z7T?8X#9~cj(N2#2U252CjQw2@U~dO3_M)p_E!Fw&2sv3d>>M+k+(+k>h2^P&AO?~M
zh*IYFXLUUlf<)iOhad-!6uH@Rjs;3cjrMo0X0wo6RBe-_8)lRLhorL)WOD!i|M{HL
zsdS@^uvr}2Y{*T!A;O%)?l3e|gq&lujdVkDDtD)HH+Ez0hjMH}rTW+;Q8^X1xoxOS
z_e@P^-Eh_talY5*_xsmBv&-eWUhmiI@qD~EtKRFH&*InHY}(Wr|Age@gF!bEw{J<@
z#()zpF8RRWx;JF0Q-5ntB3OtCDtt4l$#f600UeiA^GRSxfkAiPvSHc2Onls`?Yf<s
zON0ha^|qF?$6w!MG|R<KZ&303g6Bz1=|k+Rm7{Dg^HCKhOng*G=wM$Tkd{`+{sW8a
zEnOB6t6oP_+6?T6kKnTsmtPb|GhPr1x2SyWg>;5Nu2r~t+#T}iO%-F>WI|*}7TD&j
zy43b#;^G}4U6fATnifKzLMQ@x*4DA2ws{46FXf3oNcLk>eCD6_ZZ{Ek%GiC@enC~H
zPVk6?zAYsegaMH4zTXFOH0-ZYMv*n9)bdih9Sn3+=o<TpL{+UR;gQel+uSU%<>9U4
z>g%mETakAGLS-yBffc3W>;T%>5YAeg!ZHv4_d6nhfg}ISyHv!$^i$dnDoqUtA~fJM
z>Z#djkQhId&513ca)go7L=y~I0@EGJJTAe#Umqm3?x;l=vNy6zKvRQGGU0p32@=7f
zrF0-qw1q|)yxcZgYpcot4tvr~#in3kX-NeS6us+C^1t70Hv3J8QY|67EforBpNwuV
z34mY|rUm77AMaIW=TaE!v{gMj%!(0MaLK{sd$oE`%jbOOI<OZ(y7}c<7=__pUkorr
zvk%)Jlc|{j&<y+zYh%v+LO6n&q)AMfr##B}P{ZmcPl&Q=A}?8{+K+O|XzL~4fc=;l
z!!B-q@-b3u829SNs0H+NZevrQrHX%KbG_z@*^Ijfd2*qD-PaWJOD6SbIvnCJbHv;O
zKMMW`AgPedboxCS+$<~F5cFPjv8={31(VcS9OIn0nq)2$@?%u@x#O>V5^UZ`zD?xR
z6<qTj@g2b=eZ6c~8c^*Pf^a+gxEEN(0DD6CnoVYNwm0#A+|>8f*1CYZ$A+-CF7PRA
znRJct${qf2_VGi2S>*k%xsJZ7k;8=v)!lHs-ISYYiay9Guc97K4;JzON(}}pY4Xkw
zc>kYeL_RuufBSZ{7f<*e{L|wxb@GL=EROqW_%m)?a&SnH9wmKVp54I^{^u?S|4o&F
z*$zAM%_4h!aZ_e4cFzr(^))2*i}q-r38SArmEroMsVXm3*v~nQ8eRfb>Ez~~uB4nB
z20B|grM=&yA#F2A_6OMx=BipVfenF;%HBbgg+h605Tz<c{4JXmE{qzEm+hQ87<PJ7
zb@pow6IyvmbYk0>rzZJc*<JYs?_kotmt-aU4g2A+GTk=HmqZGPx^yl)`Ocqvig0ba
zUy)G`osz%f5_gp0IE}a(x8MyUBSX8GrM_&{Rc(D+`mX43>p@AA{6FrIPc7g<E-l54
zBzD~#0LL43+c4L6qn8|jlJ!R!**v7PMBo5^O(}(gBJ#6`4vG7fZOz$1Y)b<}gtXmU
z4MA{IBNF5a<u=m>0{4&_=G1(nTutOeQFZAavO@8GU}Wz6@$`;E-z;YhDuD!X3hs3B
zJ%Xqr8b`Pji)F@mUEO8GbLnlHb5m@A^k5I{{YESLxZdAp*^USL`^lT!<T^H0AoWKt
zgI%}j<a}VIJA@Twv}`H%s4&!jh1A8_Zi2>p@BM*#iz%_8k*>yY|6Y`)zTv8xe#6jj
z+w(0LZHhf5uWjkV##9OI(uuyZM09GbBs4#289S}y0Xtd)N22WOhgS>z;aS3QPlyxL
zM9byo2j39-(rtAs8zrDwxJ?9SH>U{@HE6JZCkE6UZEh_ZI$+rcPV3P=n$t99Vyw*t
zeCqgIqdMQ%1lpy2YzTB2##bKq)!!~<9^N!>OQPp?Xp3~&9SydS-@j~ZCpQIi#r9lE
zTD%Yp5=RuK1Kj`Btw~O!J9fhfe^$RH8!N7Llv%lcBK*NIwZHt7SH1e!L9JER18*U<
zz_P*LqsR)A_prB+AkOEbfMU7a3dLzS)q&|*V@EBveHKjE(1gR0q6455I=nFVBpfH#
zt(^3Ep<wI#|NU-zRKYf3uMjB|UeuOP)-T)4_A+7*CvXee+7?%by_c|8c6JS9AW}hX
z*Z3|2c4OF(HrZU~Gg)L6=~DI(e>y&$#aT!F>IxxkN}`@VSwBsze@#$IxU@A5+Vh$r
zRaNNZyhrbNsJS(N>#*88;xgYTs4c!<wTe3`-hF!8&!^T?6hpO1uT^fLM}cOgf!+2@
z8SK=~{P(-3xbyG8pCdhkAx@boWeU|Mj(#}AURl41<`htkOJClZ_>-_Da64@1znYw4
zwSL8k&9B_3&+=abyhFiJWq~cj%_#{uzcn4=+}~D7yB<H0l7L{?Psb^zgh>Ru-Zux;
ztR>_WRM+8vBe7(KcQ%#$`yD_NC#&HGcjV7vV@}X}j6nfBx@;N<dpx)aRqb1a|1Vq?
zVoxJc95M3ZZ`)-5=zmQ|ktho!Vkpa+kBef^nNEKFJpWe(I~c<3O&LCw<A%td4LjxK
z-P?XK9SQYfH1$maxAG-kOhATZK6!HTThdUN<PsdE-hun-3G*kp2b?$NoW}O3^uxZ}
z6r`(J&902ynDn5A1g*-;K91e2zO3BiJM<c_OqyOM+_<XXOO0`gZ`dr$cP7i!ud+Du
zFg`Bj%mBfbj2OC>`@ULLa$%}vB|mOfhL%0WwN1Aw>j8hK#Ob;Tpnf+X4#6%W{NMla
zXJe*s%7x9FqY5lAmOzT-(Y?~N{6Tyz@Q|@rT~`!;l)RLMTdI6D^jK2^=BE4`_vrQY
z;vee@F~F*!u=rk;`*fc>5?<g5Zm&-eS%CM5gZDK4@<F-f6V@`{J?I3;o^g?^RN34r
zDSTKW-Zuu!`w_GsKEI9S(R7dc>(2vkvvpeeIC|h=H}>a>Ce*`0xH=!<0C#E`-i7L(
zr-ODRf)K6`K!2-7h(MAx1AXJK!Ed)svT45a+VNWpx<~hxapAgwt42Ap8vioJwL->p
zX7L%DZimLRdw|ufSGJ!vo%TFnXO&<Rd_p(e!ZkY7K>j)}qg@T-R4fR|-*d6AetXit
zL*{Z5Dp-I?Bkwi?oUiYme81qm5?6Mgt{78>UdHa=wC=@zZeO1ROMQKI2<(~EZPi(m
zcx(dev|pNCcrBlK!pe7GSv%&X3pcCBMt@s7w*^D~y2tiv++uO$Vg~lmRpH}4u-m0;
z+*>i~9~pb$7~L6EJ1w?)Ee7dPm+l8EL<HDuTejm12%GVMfZzSliLKm|qUO}LP;p)1
zO6!U+BdDR2{JW+|cXk_>Qe&qhxUYcx&J=BXRXKsfrI-;-Y*(HAqzAto+`@XB5ijEJ
zWAG$6`(g-`>M@kk=t-+ZEm=MPP&o{xTsMOGeX~#QdH37zrmhR~J%~BTrchr(wn#49
zd+{Cj<Vi|4w~~7@8o!2H-J|lrjqEiIwo?51&dZmXna*82;6=!=`^H0tAiKS<i@^!5
z@yX?*4@Gpw(L=t`^tuKY9x{p%F=BpfS^+j%LN8-nc*)r-)4+uG>ik#@{<AqTt3@gF
z5A#etOYio9ks4ywzb+g4Ey!%^0x%S)QN{#Z;}M(i)cY3|N@QD^M!myXxDSC+m9^Ox
z_PeQbGf*V&^2|Y%A`AfOFrESwD9TB0OxnIXR`K}I%vtYv#zc_Q)lvaG4-O*Cylg-W
zNJ?fE4Gq2Q?Dc1*XnUYMDxLa)<t)y7b(2ms+ScA<zL#C|F$ttz^!56fpep#On{*N+
zum(~oJnv9~CZVMJd2xTS_=^zWf>$NDBGo0Huhl}}62ACsH-=fHRTgOWCEV-x*OrHy
zb!nBJ!nz)&Ul<O3YwO%bV1)`Sn_K-AJfDKTrkq}>p6wIC7eIaYjL8<ZuS$86b3szk
ze91YXGjgA^3n52<PHf~tg0iar+sdG}_UjZBxvokQbN4mJ$g=9$A>hs^WJ~`24uk#o
zJ2`iPnWKSt_aJcrh#?Wk?!4`6c!YnzOW3KzdD|at>6Aym9Frd8g-RW;*04QqIIpH#
zkIFb(m{1oI)th?W9KH3axo#igBfGFb+U1h}zIr~grZ>s$ZyrG@)MV8W+#NdGSh}}h
zBj0fwSGCCoBsE7$iMLktyRP*SqfPuQ&L&iKeab0DNl<NY{%E2J;&!+_>&`@7RP&$`
zyjSA5vc0dm%9m-62yW!wiqvR&xshf{_E;=<XE2)1ros6*pVq27tyH0_GH#q%1s9O6
ztQ0?a<xhF=Yz#-s_x6EsLhDJ}BTAb>`5{B|*ZoRYO4vCmJE()U%Q&>yNzcgu@D#3+
z5(#>514_aEI{kj5Q<e18DM#~lw&WSQ;_hxpa!?yQpg`*J#AN22uUyccX%a8DT!O%c
zuBnZMF?U2SO)Zv@bCAW=KJ}UwE%!3vqS4&H-_7cOl{ZHnS(`M-eKHMb6!mp;{UWz)
z?nphOqIy3|*^d~jdoRpP+&VB@R_wNIUgQjJyR{Lj5}e;yialN`K9DmxPO{&DdyWko
zl0XX)1J?-|1Sfx3>mG8Gi=tsepi^+5k691X$uSl4*iz4W6d1ex?r1!i&=7zB7-j6&
zuRbFDg)8C%4#fHyO{i)!qOse}GL<;yKZZ9~I#vJ=!wfj+@6+}T;@k|-*1T7I7TTvO
z@05=kud3WG+%4{48|+o6>B^yKfV65NE|4OP-GA%1qYT${A#{|3Lnc}&EsW5%(ZsHA
z%Lt)IiyM?hbXn984@>%#>f#+-_FfnbIM#HEY~ZkT;%-lms-clf6>2doJD;I<ABQfZ
z$>n4S=KfH1Q~{)?b7p;SrNyp?p91lHoD{@mKhlMW%sWs)WtXQq)%IxO;0IeRNun-R
z!DFq9no{Amc;(>igTEe}n|@#ImQwaAD>P_f2T61rBv~sdr+%z;6oP3^ceYkJSbTwP
zPr$x;$MN!La!T1vMg+Jr+8n@b2)g07SV-AVY7)jiqznC#XWEX?6cRZqCnXqjQ~QuL
zYmn_u)UzcivUgyJ_RDJ`EhE1FEu7pmT|{Uj)~_M*?Unf$%v_mVb!EIWaL}f0{a<%g
zm8d($cF83rRp*@Q1j3RkB1hMey*?gViubSJDq5$Vdl;3E0~Y812S+tHGNJi<kIA5i
zt6x)wD}JsFNtI3JedBpW1aVRbmr6@HWv;J;u1lM-x<~lDH+)5(Z0^%_mPrhuzg)nf
z)oumW;$mHzoGoSG=3!1c`-z{gKT4~R18Z%3+f#HiThtfOE8yB<Ek9jdjQh14`)*>%
zZ(>Y*{3ZjV-cAM`FbGxx$zR9IWWlYo6NLj9KQXuX1A6J{E-9V^d7{cHP6SPKVh+5u
zBh}LEH66}`)OgJAc%C=@ev&ACm%pfKmF)X<>%}jk+2n@08n5^`owj@otD&CL-7A?G
z21hDLeH>vfe^Y;pKknEY`Je6nKbK-&aW`GduXW^k-}S8i8yD<?--&PR_9cJJKsi`W
z)WY)*Y7%S0cFsoF(fvvWwEuqB&r4r_gE61=w%;kf*AJIp1iRUArzJY>Ttb<LP&gD0
zx82MqV?~O$1XhBo46Y$jsmWKM0bQPTN~(0wBG2r!l?CgE!fAiW`F^ekN3(}?#dVj;
zjLaz1uum~ErSS3#L5Oc-$e`788!tf$Z(6}u^RM&~6%QK9yM6Boi|4Re^=sN!Fs9d8
zVR)n$8HsmJ&+=clR#P|-mX^3Pt5PngmrN(tMC~VJII#!jOqG*w)lHB39PO^1n=>8U
z1$>3lgTsF8Tt-0qfh$%WyCu*uD{9(kJA3?6RC7q-Uzf3Niriw<Qwwo6??|X>`2}_G
zOOPbDys)2i;Rw3vm(=ss3lZ$vVDkVA()Urmv$myg0yVlL+^&m1e4CVg)8t*Fo|Ycq
z6KaLlg$WW|?LK@TPg#@Ys++M)qxUy49+0<p9UN^Um&pWEaoWe48I@NRBNlAoN;VfX
zjp`L+oX=$SKw+~hCBGK&?{|dk^TK6|@tUk+f6hj0XpY1^CQcmXn9hYvWmVt3xWRXb
zD_9sSxq${sWsHe|vBdQy<+P9j1*x(>y5P~Y-lPtF>QvsHVy0Z?1SBqs{DGziyhJ3d
zUZ6SE6>KzPr^0ub2ulH;$~_>(r{Yb29^frKT(k=o@C&3B*eeMP$%?ji&?{`ISzpEU
z)g?5rmUj2@7NVMH9J2z+g1$*?PbpY{6s;n1giQrc)%BYgq2K$TBR}K&O)KfL*yh<E
zg2c0Mb7S;0b19qng&^O>n;7zi3e(6^X2|r=rK|02Qpk=>?#W;8)En=1n_{fk%y{`e
zC>MN6-Qw?2)~|vxow3#Jn@+D|q>(n;VXfWF0#wL^`e*cD0WfQH!%Xu+4u+<MsvdOP
zo)fP6nt7&Z`_lcCk@fzJJJmj>=M#2%T^Lne3hXoUfH%4qf2vsy;U13>%ouYwYO+dV
zP^6rUC-6BBNAn#0ZUOUJlad~=b=(sJK?MDrsDEjNzCx0bq5R3a=Xn|M0&|>q=X7Z7
zkJ|c)9Mx*t<Y%zmvYmT>uM^M4TTtpZF}ww*Q3muRluQ+hqZR&BebXHoXx&X}7!aXQ
zp@9j%iOK(hCLSA*6k*}C?~ivjZ{-yODNnHFe0oAHGcp?fAHwv$!6am!ZYA3Y5FNv<
zmWMv-Tvv*F$l$FH94ym{T-0Yzwq1snpBG!&A%0bTq5u0GAMsDPb+jq9MS8MFHQ(+z
zfQ%{H!z>jK<sA22VrH#%Di$B`?zEZmJ34ND1R;xDKyv3%i8V1-El)rtgffE<xxd@4
z_HCA>{!Y|<<1xwvF$Ei4Jx)6J!ORFiod{CeLR6KrEn^mIrLC@FH6D^?HQt>w!x0Ah
z)J<n<+)NSKGn-5-#fhM)Zrd@G`9k$>5nZ2DCi~z*q@(~e<6)G67iEdxm$+~|54%MT
ziycrJI^uDr<tdgojKi5XY4-Ze;d)pV^+An^-{Xt6hs27vdznyvpsMvrX6kfM9MUI*
z<jt#Mnf!dU5%sFqO`6u*3(JVIMN0>_-aeY{Q*yJd2kcYpX(UK+wEjioX|0ghg8V=E
zO)0Tk+Q<@sNhDD~XZ`|G&)6N(m$iUs^k;68h9#JEa)nFQ7O&J#&-mrW^Pid>HL#Ce
z!jJONgoRJBU^h&1-L35<Kb2|A?GKlU<FvUpTGhqay3-!xhTWx??Jf#rw4wmL*TIn^
z%5IDVI#+$%!@zhFcxgivHUk%VGJUiL9pTVV=*C{07oAoxs+REQ5qAVm7P`vJI9+~B
zs=hzJHANCJ>}^$Du}5u|P)d0`d$*8RFGh+<@U;Z)El-z%kH9o0%EYr+DwwSD>#ytE
zAc`n#XWVaehWPgRjrCp-f&bgtW)4(N&O!#pJ5`$>LU|CJo{*x?$AS*mMA|1V;{XAX
zNcDM3!eN%p<aOZx)T4U;de!IkS&ws8jrXOco%V$FHZEBsyXjli@#+gBh&XK_=P;u>
z-#{S5l>ut&4P+R;<7%t4e-L4a-dh*)Lw||`rxXax^S1RMk9*20C-0PGnFEt?Q*Z*0
z^FfX3hJfq=8fwne;>)|CP;P+>ZKr>+G%Vs5)B5kRVdzHQmIXW5apX9lI{G1@<UGbR
z`5HlQV9EQcW8s_bz8(+<xnZrNr}l7p`>G5D##@p*zZ!c-HTO32OjIW0{m5q6UtOrr
z>qZI>F>>C4D3y1H!O^vzox(>U_<}2CD+26Mb@S-`^j}98ddv2pggDmw>eFyvm1hb*
zjXB6<9nbc(U}TvX;@^WCSYnLx#>thfc?v~&e4fn1fG=?Apr<h_#NEhW(%c?Cg7Qhw
z@}c9J0*G!lBg@Oiv!+VE8Dg{2KYA%+ib_4&;5WP`35IXBX%__4F-G$lI9bWv3om6B
z<0;pML)Oo%BJt=dIDW64YT4=PQ=baJKw@RJa1foKd)V*0e#yj@m`*!rU)Xm;*OCUD
z4r&{HJ1^VaG25rI1*Y2fmXOO%cSP}kTO{6Us%WZXKn~oy)m03*YH3?Z+M(kqrKI%>
z`gm0b4_`m6yAYxrI&5A516C^A^Do-I6V?P0>~j~T2Pz^0(}zw)P^T^n2zRg8Yo-%t
zR|%U*0)uyiGJcsluN%{(5Zq{h>=)}+jVC0GP2_g+UixV@3|%IBItB2zJUAO(PpaM0
zXRYj147=d-Z&{+%^R!D^jjoolvZx^h?rgh4m^XGdl5N8f_JXC^dDvM~=`to5{)V@4
zH$EbSJ&ch9q7-Ats{s8|fwew@8XZ7TR>mZAQ`s9vTNo`W{g*E`w0(Uh_d1+F@O)}t
zlklv|TKs5B;xpAMYW-96OrEiWZNl{E!fAMmsNSi%QHgFC5gA2gWPoh>L!DZ7uPb4N
zn;oP?gY;;@eSDtmU{2enXsJ3m9nd(Smywi)#eI`2C9#Kzrm^5S7F;xR+|vY%{5{^X
zx<lGObbU3y+jN=hIPFrc5f;U~B~PRsxm6!nRz6n`lm92-xZYh!3RTswJ$ekMQpPP9
zJ52*2c<{VJX)XkBmwH@;zhd={o*A6HThi<j@#}-t-Qv_Rj+<JTC4MmCH+B(pAZj(Q
z*ae-0sGyXW16*>Ns?<&r0JgnXWgb87$4IjT$`cFFPi?Q$xm_cHVh09eXK;7Pr!gQF
zx&RNaRJ0HM)6o5Vy`nI~Uf`$jYzn+ExuToxNBomo0RlMV^xx9+lb(`2Hza>;IW@VE
z>M7huG<eb+UJSm6?|^6@#OvAfF|GZJe?18qZSLuOe62N)w&{1w?vpC03HrApY``xy
zr&4vJZraCo^J(#ijRQH#$Qn;LE?+&^;DsUdYun7Q>)6U4oY)1_y8^nu|9sq;Hg2}b
zbDcWdMhb_~4w`Y&a$t^}L1}A}ARDB2B^hg6XSztg(~wVvRKB~%!|6RDI`J^^@MNWW
zJLq?yzTvsYwF7@(edvx?S@2bA<#4vg?M)9o{b>X=8EK||FcWJz-MEaInb8We(D%`V
zzgdiEQ>UaAQO~q4cbs#Ux&H~trh9V6j9$NlQmZb9xJooty77yQGP9cPl*M0HO2;4Q
zg926s=MY&S{sAm0v)gV1smPSh51&?yo()wCf^5{#o&H56mdZ(*t9)C=cvJnRO5zf<
zkkn^(I|F1vrB2*(CH%IGAy&5;;`eU9QJEf%s22AZ_I_^HMCL0>I)2NeT&aKu2yzdX
zjXohoEg0BwFAiCJ+vm`pS$Z(<%HZm-d$P2OX<;xNl7{2Y3kQ%_E;6%XK5`aLJZw@U
zy?Gnq0OOaGJBHNBrDd?EW*KNlWCACG6s$AU=e1G7fO$R3xrR`6Hi2`&AlhOEZv;qB
z0H+_6s)n*;D%1=xW*&F#Tsg^FMWjUAo|WeznA+Jzr_kRWF+r<5Nw5{^q8rwC5BcGI
z_Hc5}Yo^W3J?yDUvp}fO@)JEq9O8n-+@+MJ6U}f4GT23Qy^d~5F2(vSC#X>D2dbI~
zF2+iGcj%#pbD1f!R{k6dGWCSEDk>n&;V2hDv*L;wdpcjMamNocJi6gK!1f~Bul8LQ
z$yB8=S^n^o8j2%^Jq<4wuI_BlZJ%HifP9J@+7#ujep4p4Kd8jx-}poSeZ7Iu_=s0S
z4#!?Q8Q|iyVw9e^^90aWduKh`G&`fZ;5}bccLKIO!;~8^yxGgvT=|Q5XKGsLW*Dtm
zI+gcOYAFRV<hn3Zb?LmUq|w1hAk9A=U!vKiDaq%g6ZefW?0_G`IRIVmVQgpOZ#QjF
zU5B18>GyA9Fq<cPemqQPXm;i3<D{{WsH~>n2c03>6dFFScoi|sIBH5_eR_*8Yx#->
zY&@u}5@zzgR*u_b$>WCv`@y{Z@OPpd^7ub)j#IF-fCZ8Z2Vac(7VrgYmW0xE+kyBf
zvp@&fK_2TLh;}KN@>hyl%-J07*7=oi*D36&>kP3>Ndhmp%JfL*C(;B*%Vq2@n4CkN
ze0rtQXamwi=*Lq$>?0vrz_w&VUm2I@y&6foDxYt|h8EZElyiy9yPIXiwW5E&TN*yH
zizP>D`TSJ$is!0g#m7YDxAuxz4#CdS3(M4mb_A+;lYsWASB?ltcyG~OFdL0@*g$-b
z*z+ZNPf16;<V&~O=z@HsnSHD=3pmDU4n7Vf>IPq`FA8kdy2VGNG}HGb&Geqt?9)oW
z0oJDa6`K$JU*T)!XzMdY!<knbv%cST29lR3dAC@jWIa5A>#R^l*6I-%oHCm&1l0)N
zFR>_32#;!6oOe%hbHyLPjm{_vgX%mj6OM2KP=wSSlJfW=^~@T2jmUS}`-GRR7caTX
zR7#=YF*Hope`R~|;s3ja-6s1|JWBVra|dQfVkm>G?iZFDTzap6f~7Vx29w7XMbhJq
z^qQkmY_T(1pZAi!yFpPdW(@&!i<MepZp~VpActgnQyO5~A&D#EDi>bhC2RQx-BLO!
zD`=ZsB)CZ`-m=eOT<kl@Y5j}m4N6#Pig7$RT4cgVjX&d)1_O!@;u7k!=g{dYSB4as
zO5~+_95XeYYAtG*G)R9erMuoA{N(3p-S5*`Ayqp!SLsPMZ9Fp|@Sj_-8#<!CR}X%W
z0mSNeByK#pywg0@lkfNGac@Cfv9Q!1fB;l@E^XQAq5MKa&B#AAedPRKg%8SnSBa8$
z(^;<A2bH3WL(-pT{S*TBG1*?1HJ|_CE~<)S76#8GzlE3cvYBn;@GlHm6}UcBx!_m0
zB6Hi^6cQFFuc1!d9*ax-GkoTYS;%&w_F$3Px&VlPjOsAmqFpNelNZX$NTnl!p$A-h
zLc!O~Sxu>1Z^X|D%|FU%80uIzv8*HaBFmxoLB)dEH9I|Pw72rVryq}2rh44eB|4XS
zR7VqFniRIs47P;p5dT&o^F0Oj$6r`|hnH;Zdw9(hhv|f75Srx<S4ZMUsSnC(+_n^9
z-ez)`45>T3WW?N?1@Xjrb|3*&2aVuPx9r(mNz|$2{Z;{W&J~mu0jtZ260o^ZP;zP=
zX3+H>$SK-iT__FnG)X=PX?YfC@k;2h`32y|B)X~w^G)Y=-trV>zo+T@B5Brwmc&&y
z<UOuk?QBDM{4&fTwB4gq2JM(g{93w{RA#H6q%W6R!)MIRvQk<|!gJ3>V4z8u*7qfF
zIOwLz<<Zux>NXN>ClRg>W%Q<@+YHB&M<HkIz5t-4{-q{67c*$X5DL?hs-BVDV4?4^
z*r0P4u<kCV>XV2R$Ww2ie@)_j@r#9S1Eri}G;;UG>+RT&eqL;i6mBB450|PG2asff
zLffO>?zE@;SMIGnimQ@ug=9V)nETf7r5Ng69`Yb~Yu)h~x6_bx9umJ*#}8r#{QKQd
zmS2|eJl4NT*diZ5N<!tbvvzCj0a=k~Ua`pX=VdsU7Ofbq2f`3)orq4iEO_&Uld=D7
zVV9K^OsNpi)m#b<JWzmEw!t}nUH7b-6fyDYABp9YZEbYN+rXg2j(X(g!Obe~!rHde
z&vPEG7Rt}lE}!G?##eD3gerwGH%R&3DOYT=i+WfSch5sr%K<Zk4d?4am)h;j8WqC{
z`%Th%aURe^Y7faw+clGpELQkJD92bFAv#B!*GT+D0qHT&Wemwi^1eW}wh7O}tZ)_Q
z3yGDAryfP{%Wh?XKi(`+)SJ#38sq$g7HoD<BG?B~xC{LmmZ&OON)GE&U+ep#$BUvL
z3HQoSW0;=K8>EW#I6|{Q6r;Np)x>@3^Yc0FqY)9bu=tjxt$CoEmaK~rDhm~tOq&dR
z)tqp-jV5kUs?Wb5DZfY$<9Wu{y67niuA0s_OI%15;-w32AIr2t{oL=wtUEQ&98WIU
z6?DNR<=oTjmd*3gcE!+uPFU1*7pelCj^}qYIT%%@x*qa0ChBg7EkwI+yIti<o;L(_
z#0v<OLk%!(suLCPfheoq!VTGZ+VNgmgog?LG1}TtqaEr-bepTJM@Rv{&ZluZ_BaXn
zKu#CQVqP1LJ9MFGXhU0Zk}O)UeM`C??1Lne&i!q?h0All46fh@EO|}!s6Adv1jeH+
zhgK1)njCl1kjJUZsNw>0UsPzbydm*=dr*jW@M76cwnkKhISW^puDfm=ky)TPE{pm`
zJ@gSnevk82aCdtc?a$@j<-P#s<5<)uxOM7IKzCdCC}9?k$Vt$ZRE{1dblK@B<I5(N
zNY322-5Cc+W+EKk`0IO!cB4cyJ#<<Q+WkiH?oqmP1o;YQ(>q2mVaca$W70}B#%_aE
z(8JkO%iiPVb}B)fFNyl$kc`wN^J20Cs?+#~WC0f!XBp3Ji6Lgn#NP%+7w09&YiPUc
zjL#tisk;~Jht8t?y1$Q%*q!pJFLgSa(DhGruY!b#HGNTR_3a;DmR4pQ=&Ni<Qf&`p
zFdO$&@Nvj&Wsa$@w4?1XL4|Z(O5T|&tXjoI50;F&KyZRa`fR1bkw4fbCdmRe&Aau4
zR2rpn&b<SttzhR~Mu)8?_kDH>Un#~VXtRpM-EM#yJ>Nrr=<`wUF7(Wb?3azqOy5&J
z-r4>EJfh_jf2dPjVsbGG^YK2ttupDNp}PJ>LQdkJIj4;Dsq?}rRb5$*t;;K*TlqLi
zb}S|!sGLKZc2k=XkMy(X2Kc%=4JZ<oxA`XgM^y!O9p#Z+SmAMD1eWI6=I)6l9*K|O
zeo)90Zd^7~4>x$xtzW1uCO`0SHJmChO{Svn3U~b>2}{vzg`Qn*nYd{=g?TrNbf5j0
z-63tQ^L_Y~z(m$e4bHP0#JBgKeV*~+oB2=|MCw?qt9`L#_theIRJ~;Nlaf*{+Qi%X
zD8;;EX(zL-J9;D*oW)IULj!#)eL%V`@P@kDt_t)P)w+7(=$WaK$d6P(!^{W6%0{vB
zZjo+cZl)qVDVuw73d_d)mXip*^<T^E8y*?9pa0qQB&Lfb3HSM>ILIL#DEn0UXK^xb
zM}l~^y1x$g+XT%yB6NXH3Qn_qihgG{P2U%4IdgCu{f}23HNcg8@`AaF<Ye_mi}4uD
z61LtZ{-?zqZc)#gdJ9iuNFp=WwM;Pcydhq$wA6QS*ta&$DGuxf9mp`hAow&f95+s@
zvXUc<9Y+xH9tJl33)qfw<b@(SrQ@_se1Qq~NTCw5<AXyA+O2nFb=ogj8nTBeprteg
zM!bh+Q<;)=My1*YV!f3Ic1B8@KJGv{sTD-i<bBKPug)#ke|(!z8BqPGOe<h~N&U#|
zfqXj3=x-JCQ6{|~e1sE9NEU0^`lKQp=mt5DnNfb;gCz{)`U0nxHU8Vuhtxe3>AQ4)
z)K|-iElscX^uuL~{Pb+DbdT=Bjng|BUybG(%Ji(IG`l5~{^X#lRy*RN0(Oi9Kn`z|
zp4?}-<oiXI7T<Rt8R_2J^9HiKo&dC8(=v^hchXyg5d+$kj(~lNXj~v_VjFC2Kvq5{
ztKWX584waMxcQ7AN$5tmuO2SBb?1d=G6US49~!D8KlQVJnk|=eNcLYnmf)2m(E&zv
z`L}Fns?{+&-hDsaDm<Q9lyeFh#BQ)HPVe`TnB>6BUY$n4Vs$eNOlI<U5}r&lIzj3V
zd9&nuuhu}Gd-T4T_@j;wO>qkZc<gu{b>a>*nU;VlvUmk#hZX({(LSwGL*a^1G+NIT
z7WpR>`G0BeX`IxgnvIZQikUELPXa#xZp|dyiM;$laL`VWc<rAfd2i#Mb?tmm#Y`?j
zi*IeF#nw~$7nl-i=VeDeq1%xc(ncpq-eJlb{Zi`}aH25VDQ!)B+l*!z)x@*hNpf21
z-}@tF$=#;PuI*I-7^fXHyz8uAte!8nVWc3vP2lS*{22k)2231i3pTbxOWZD4a8^@M
zTuM<+;*cgPfm@@UNNX+l#!ZckXV#A>rl$iV0{4;cy~ohO`jL$tp*xbq@%^*9Qs60c
zVK{PzKvZ3su~%Jw@RB@FPY;9O&QmoQ`@r1&H8y@()vQP0?I01z<CbttDO^euo%8>6
zmjsa}Au~(PqORFpt@RxgIbF-{4YW%hRmbHYwD<p~2LbDi_RlOtlngj<%!2;8AtjrL
z1%5As&6Ka&S#o<Bv?ZUWY2RCffZ3O#YtHTI@PD3@0mYN{_n9JYVaI$+mW2A2Pnq1f
z@YZtrQZ9pxL*yQEivwSI<b6%ZcSP&TUp6K-&QnyQbpe2;ZiabuQNnt3{C25CTkYXr
za`6ZU9ya!fwoa9|Ih`yHGh3db5bg+A*5vPLPvf-xp^FgW7eF>tnAZh%1<Lgb6Zxm~
z;SfnZ<*!bIau%s8f;|5Sn7i1wZclI{JNwmTd;aXgN6j+r2LyyD92|K7`_76UGqlJ~
zY>MpO=@<`!-EOJ;6f2^u%y_$GUM^}=>x0P6RPvP~!i_JgrqSWj4qkl4W@)dX%Nfw5
ztU_d*-WloEf4|$dZ3Yz7u!F^>M2;5DP=PEc?|tvIs8_<t4?%hlOAvHdW=sH{|F9Wo
zpY?s&U{4TQbFU3OFZ#Y;kVkV$vp4C_q?FtLzH-NLMty1ErC+RdpK8C$uyKg}3^=G1
zBr$JFVcfll;2pfAF_7OIP!3Dm>1cW-S+R7ye6Nkt*l5c|CdvW(?v}@lRxYW$VkZkK
zeqCVZdZUgPlk=_LMc7<9RHl_bD^wx#wTCxf6$4sR)pbHv*(y?amt?IXiXTonNfSlQ
z>yhe~N8aac=_|6AfI~QUu+8@BS1<xYVU0a@d&b+>aID2LMKiFB{*CX;8r(MK80NCm
z5abk9wQHNIjOGAJKc0eeIXI;H*q|<Q_uJOtmT(G?4O*x@Q$c9u&q|@f&nbkT`qaNn
zijm>BdDPqvHS2=^EfZTX#ERFoc5CZd+gq+9qoSP`#l@d8+P2-Px>0<x56&xEuTO>O
zB#x^x^+qvP9K{LgH{4`yYWKGj+E<YRN_Erjzf5@`Gvf;%syt4tw2*-ELT+-Gs4LQ`
zMrD%95w#PYCo4TWV`_X}lRgAFK)L{pGQ$NNu%^6{CqF)PA@ep(|7-)gBO*WrVK#60
zdg}d|?VuXMU2VynP`b~{q2lIlynnUkP}T*}@20^M+~bXz=h7q97DPnrqeJDpF(apD
zRRzDS4s|7%Ii-yjDSt)r3keMZCY2682M-ZS?k}XvAAD~onoZ-LeA&U6Xiefy-91?N
zHo3gkKZ{$Uwxe_M9X0|H2+Jn|EuEerb<zYT=xsL}knSiZZ$k0!cOchNx5ZOIl5dGy
zRnpyogx6uP=|5RD<z3%G8R#Q&Kz(-3qEx+AC+;BR-Tmd??_#03fv6wO^clk<;w!d_
zm{Fx46T6^=6z)yBwytaSzAy8Fds4y@%&k2NPJY%`R7Kp>5g05Dt_em+2g^wHWJ?#h
znQ#Lj5A$?Yf39yi7DH>StNYrP6_<-2x9$qx=R++_0++eMs~E>q>{=KLvt`S{-q*Hs
zVhVf9*MS1LBKuRK;Wlcx*>KD?!t<>al2Bc-RuG@&DURCnPh(QHq%X{NSBvP!O{~#_
zoHv?)Vz^mrdAP?O70eHb7SkZ;6WGv8i?4#b28K+ydqp?4X$N;<xGBiHW2sH4R@Osj
zcxpa=pF4UHE8}tfEJbqRe1PR|_5(xiujpw*ov)NmDb{S_mc0-R<CX<L{4IZ@CR5{y
zMw<@x9qH2)nNj+0wt==9gs#J6laC3y%7IPXKr3~htXLp*Uf(|_fMEg$pE>}{r3p(`
zr5(^7`S-j3R#!Qg{QKQmcjaK&9l$f8eS4qjylZeHL0`)8Z4VD^Pzlxz47>bTw7we?
zs`r1NCCu7f^W5)Vo?`GEY67LS#FxJQ-Zuom@^FW3=YTf1y^-;noiAmtIokq-KZZ)-
z5Jc<nnYP#LMeVD-Ml}^*z!yndI{%szmP+1ojglhnfJPW2%ttiOLE8dE+mhWVVjQTM
z)b@Py6pA+aR0O#K-3@6=qh{c6@qJmsSfdnt6ud%$x+_o>tMSuJL59k=-9WT#bDKPW
z6j0(v(dXM!eK_Wn0w$u+W8)0`O1_)luu`9N0yzAK)r-UHdg8-Yiq$r+2@TYlMMg?n
zn(g5XK<xnp*iS`)?Acd!89tYXs^yS{>$t)BXkvvlftOtUsDi*qm1tZBo;pq`q!>6F
zKcov?-nNW;c$3+bv-q_?CQ9E5;7Fkx*cUihT4RddZ}SMxy;Q=uD3_G&Fk}i--wS90
zXqITTP2T9Oc9Xqc!qsdkoE8_@3w6gxd;RyDxEK!R5`v^wH&oa>0mKespAwOjBdl~E
z3Mzu{#xswnT9sNSVP;eHBo{{7@Um^5t-VA;_($^XY*ci-$N_V>j_+5Ydrj}nq@FCu
zD-moXkovPZ%TH~jalOO3Lu|v)yzNHDPGQ9D)(qQ4z*_uMA*F8$!<^Pu(#d#Ihfh>Q
zl!Ijz(zgSiZpb<7_dMA^|F-eaJZF0g`}(@u9B~io`~M}={5S{~K4689_7Ngn85tfQ
zxDvGyKh2>Oz?eQyc1QdMj9HOU3svW%^wbIiPY*kNLb%1hKRupD;w~nn2jG6U-(tOg
z7a>j5cz4F7#-V2W_N-|L^<=#LMOl9%OWu#z4<v>P5Se~w2wMj+l=5yf4mG)4`?ZI3
z^j2w+G=OILa0$N`boxqKg!FFVT>YwFZc5$51!KT+RfH(1=KO-5fo@1K%l)El3=W?%
z{QF&R{hhXDyKmGN{Yz8UO1V&A6HmFm<N2xUYl%X`uUX)KzbjdRQ0t<qK9I66JYv?G
zoS*mm7H0l;`mV+Ob(CV(oBRM!oNxezK)R<o5jP;(Dr`^aa!Xz)s$_Z~?yVAn46bXD
zyH>csVd+vPof3C$?f~D@p}Kj*E7q)<D}Bcysn&{%LiVvHI^|s2#ql8TThzQ?j!_OV
zQ#{_c?El_ZQ7>CJuQn5b{885Y*7DQ#gF=E*1RBVzz@+NB{Q!{O4!ldf*>@S;Z(@fC
zo>XVx0!&!aorDVGV5nMAK{Eq1&}4H2BlaU%TlN3H?W%zii`g!=*B!ihr}laAy$`p+
zHjLn1$&a&IxwYu7QrN_wNxv<Fq#K^Yp(n|*aF;OP#lLaK2^mm<Y?!*eCwI{5AAhi~
zvaiUA8#(U50VPw<k^g2HQx{vhJfVdK4<60pWwAc=<rmS#DofE@WyM=lvsLfPtR0ck
zd$wJl*yTpkP!C~$<MPgahb@vxp`-us8mET|y~A$32bH^VUo$Z8BB%#0R_-!2%jLj$
z`?5`ZM>2;z?-G)%a)U!I2l^=$M|z93+=p*6TTYpHpH++`s0lPOC~}lblN3%Llg;3<
z({1rr7gYeu{K_dklOYatT715hdW}agMw|w95NX?mw(pVuQ}KKGdg!M2Ze<qj$HsoY
zA@{d|$FLyHnP*O8IbLpHysA4JV?e0;DVM4c8IY@!xmb>U#o~TI{S&F_+tr=$(KC$<
zOD>1Qr;8&(L4S-!KM@Q$H4kLA90%S8#fa-FD*|f?{C#$Tl}9<Mm)n{&vTb_B^vjBt
zT;5WC5|-8T*K<(8zARM4JVOGwH+Id?B`{eo_Xx$1o39-$6<!{_^cDX^bq+77=^>l|
ziKA)>EcGr1V|u8rF){5MUB!0>EY_o!eE*x&$d)2_*;ieFQ+YsSm-$%oO-9pkQ#!~j
z1onqS3h|>f()@{LZvN5{iXoF_-qA)$g&UI>wFlC2_(Jap?xN_gMfG|R(18V3rrsIX
z#;d=|Pnl=={QI5a5S&feCJmZ7b2gxN*m`K|bnB=~ZqW;c3w11U_i|q2nN=vb_U9f_
zW}GPyU0gs6e%t>_#9(Hq2`LnRa|O$q!mpPmiXDTbzr!p8?iV?Q_WiOEg2x4IGzg~s
zpz@2Qx@*=W0Dq&CyZCvid)bU9jMxqS>LV*);Nvqw|NX8rsmVoo>QPZF&0>CJwDH}k
z`?u|do?FvXi^!u^=n(^Zm@k)b^TgcHKTc<J<i!?D`_z*E!raV=O}!kLphd1jL2zG4
zzrSR8m`cvupy)N?entPt8lf2p#_44zhe7kO8o=IVHo}69JD{hn-BAQ4U*weTVP+R!
zZ<4frRyrU(8IE4@Eko(wVG=K3q6v(G8y{`_pX+YN!$R_Vd8nsY+OsX{HA%8;p4DN~
z;^UIVzv`~O|NZs~#N(-FW{P#2cy|YVa2TRX6vrO98BYg&({Xs4)BVBT$!C#;68<AP
z4~EgzB_C{=E~b>90`&*N4*JxohlOSA3d`rGcMev`Ts)-5njhwBxe7&ca@#l}_qp)%
z^iWUfZ4fjTNCI-|tsviwqBfndCXrd!@8x@oKEYp6#{wgpRn3D7gn;IoaJ9X74=^(<
z*YQoQQc5lYs)e=3SpC6am}QfuRX^k}69OR|nLv;R+!fWAOVl-)2?R{m9q`jTSKq7R
zcbmeFQTLD~6<dB<5ZG196)}9L*YI-=64?jOK-3U<XH)fSbMFLPsuKh7abilD-mTnG
zCKw<ok>`Olw9Q8LOqjZ-y~jS=gIC&tK#*d{6`jIWKiVtC`x?9m?+{f6?=h#0rS(0_
z!1UYSGhPOY8Pb(S>lFb5=ASdpN#lkA`x6_Vh{Mw2+vaz}T9Xj*A|cHZM&Tauzuyvh
z_w{rDG@g}9{@6DIT?aB2?h7ZRwr5^Fj}ZrLw=Nvv?|(G{%XS)ESr4<+@y#;rD{%>V
zr&a-xHL?;|x1m2jBt}Q<g=`K5hkIVy@zcPaMmfT5*_sH7@{(D{g8@m_pmtD4s`|<e
z91?K3w;<M0CW^q!3dl3#_a;Y>iK(B&d>A2~glbS6x7*?65jD>-v#*Ql<2y}%nf7L%
z9KrYvsi1O1-x}r5=Y`34W>nC2fApr7TwSr7$M~5`G0Y5`ypLP@qTR`dpoNM!-B<h+
zl)4?<tonElMBh1hPG)>kX>208XX|Em$j#`p>^UfBg1WM`0_|o0x;I(sX%wQ+h@(!K
zRBK2Py01&-N96Sl3{1D(%mTbLBiIW)6hKiL<N3i`)BPvsO8=O4P+25w^7qTq-Nvjk
z^67@3&sk|xKky<FPj&n%&k|jX&2~opV+C6s3;)19+<G38wu(a%^_X;`yC;I7TY+{~
z-&ijf20cJYT-z+SQ&zSzSzjbR=J`9Y;iR0bEq&|vfFu<lQTkq?U>TrU(D(C)vV^(p
z8I$;P*hHWORtcpv#A^ieQ+B-G!~FFr&SKBM8yM0ulwif!%OP3Ok$KH&{9TT^*gLA~
zV*#mW8-?S#@r4cF0C0J^84&H8RJ1}lWx-W^fwgdFZ3rhsCaVn2-*(#ai-17aM+aP;
zKdM-cj3}o(H4=H;zsfHj&|F0}W?;zuCp$}Ysfhr4<dLo7A2tpU(`20`>BI{98Se;P
zcnZ99G#(-oWH`4-b{(`o1Z1@UWBZSQKsb2g2h3pZ(BE~*Ra1kXDBM$+Ez_LJm={kL
zarHyPh8;ks$;3XZzsCEskx9%?!nubRW1#{@l?|b-BOnD;%F(3i<Eir6GhhdJp$ado
zQg7+(zdL<*Y$qw{>!xQ3%MPxSPgiUtxYO8?#z4Q0V|MJbnoLFthvtCr>>#<POrhV<
z#~beb%%{lQ59sX_e6lI1GBmj^#+PxtvqY(c6iF?gNU_tI9dWjE6T(uLO#(V}%@iCR
zj^x1dY`r{bE{cxAcL_fbuYa`w+wAGBY0vKWsTKFqOeY^dnTe*6B_+iYE8XC3zvT`A
zDFJxYN|Voil>gD?lx+sPd0iPDW#)(a&tJ2BTWrB)C3T|S2!zm5{a1tj;AjH_F;Vd9
z3BpBW4+^$?xeVE>GS{8)PS3BShQl6#2yOZhGeBqr`}R+98ZETHK$?LByvpk*a&Uo(
zf7LI{C->Q?ONpyapcy#s7Gcbh@NTsEqSIVyEGV`($;6X{%zUY>l|jig=<}M)9$k1l
zlBs8+u^azasBIp@x@$r}PzFD>P^wQj-#a1yU~6R{ty>ccaV&&4hB_}fC}s%z$uQ>)
zfiUH+Z`7&}RBr7%_&t<v&vf=Mj%!d7t833<M$}sfaK@`^eJ+Z0UQC#+?FU7Gqyk7H
z8C9Z^Q?#|{w<q5|lzscJZlv>0wQ{}R)_kA8?-xz^`B@~S5H2QvZqFfIJZ=6r%L?9H
zaRBdNV+KUD&BGn)q7bSq!IRJSY?3Fm*hLA<Fw775)x#{I1<fh8MV!mfZp5G!2vGCi
zoEZ@2qzsH~H~pW7$S&5Jdt3&Px)vbt0b86B&$)v7&$Fl^R*(0piGd7hppz)$)(ZN3
zu9knKkSX($Y0|R4g>|^zFs)ei5`&$$D#YAdqmrz#JB`I~nDPw`I4gK1zkawn7M9G*
z9$oN|1-EEiRKC-!o!5qTe1vNU$Lw@Uq2#S+(|#b~G`@f;KEpx}1@@^tP0o<KV+8YK
z+6x!>I6M!_1$K-3&6pw+{0B6Kdv4ZT5e-E@Z}cp03@vkgc7;8{^M6CX@8ly00T!t3
zd*UxVVjzgVe-AdfzieCam(s=0Qd#H+vlV=LVW5)&^x1=L)jg!^m*+|LO~d&0o%J(-
zSHOJTqR?hs2y|-U|9%%rUR*!guuSb-lzo2FgH`YLtjmL|(c3NeGwoFF#Ige0SJ#w(
zv6H#l%AkevaXoDdy<*9F7cBA_^^{lBZnl6bU{aa_aimP*j%W{c*+#s!`i;*=2I~`f
zkiri;uIWc0d?xcdI{Xe}qMQy2CcnfA&k<%H_Q2APvyzw0U1dUDRYL>Z<%FsGew4~=
zatSKBC(WemE(EQ@9=I|cGMSsnu+(Mh^BNY@^^J?LB`0x>M)51(?=&<ewrm{8Yk_F5
zRSq_e2Zv-~fIvdH<<@yZs&r=?A>Y;DC}_|G7`%n0TE$%Haz(Y~Pv!BN<$#FY!W~tV
z{F>jHlri*lXoq(S&~2&E&NA)3Y*B5rRE8AZM3Nhc0c}$ToX8t`2PA)>)>XJN!i4tc
z8}3M8fqmu-0wax*T#_4QPUL35x^^UeYVx#v_0*2WK^<k6?!2pN{bF+RRc;;6`@kQ0
zHyu6APa9a52#-%7!|la4ugl460rxUsQgRQ?^ud^Fi&71Hp(>s72fNLi9qms{i{gQW
zI>4_D1sg$=i?8JuY_x`#6`KcbeO|`d=2xXXxPDmkXC~dxwJ#g_^HFi!1^lR3&j0=g
zh<3Q@kC%#(^{JAt&@e3PwKnWj6ciU^mlj=yd(6*C6fWbkqVk^gFJXT-HO7lLEnumG
zElyPFE%HudCSn1+o45hWhr;QZg>;bE%01`<`Wkn2D9lC{itolub48XUWX!-i-x2`-
z;!O&<VbD%P&@TFbXEd51v7k-_JehJ(0qu_zp<@`zm?D@;{hx~pU#JL8E}WUn=fDfw
z>Nda#jE-oZ5(8Pw_ll39mHw`Z?jgCdA6@r*UYWQszLT{~!~uKg;3+OBkI7kcMyVw3
zMUcgHZBr_uchHIK?<|BG|8T~b>%6ro&^|>1H1Wo^yW_pki&urbG<SzI=5nF_7kzeb
zFRf~WA;+8)uS-D`E?b<%p0vd{gGw6;vne@eU@fUOZ~LC9^ph#~3DHT%CL8`LlND<I
z<kr;Ane;AXz<G4kg)X=?$>~R+aiDx(!`2V)UgqEnc6g?cf{8X7_n;kAxt)DY;Yw5b
z*KG-wGnBfoL7Yu#b_5Z3WivFxw+PeC*zK{ZxM>5Ff2+y_aq4l?6lm*_FJTP~J1^^p
zc~W~WX|b-HL#NiHxRCpwLLr38hb$`$-7$BBkdKm)LHYT)1iJd<L2clqxD>-!F^Wq#
zvSN8hvUl#J%tB^%-Ug0O7c4NGgHV?ew;a&r>|vjNGbH=Et4AAG;WO=NJ<@WKY37iE
z_alyDHC8q#*#ci>Dw&i#e8u2x6>VcTtj`jmw-MYE)<;WrmD0<cifl@4uHOU2=8!{Q
zMAqz$e60H1ULgrL$biC;8B>IidIGyi-j|iiwWsRT0_t1!W;bJRLhB7<t{VR)vDqLC
z9H$3z9GQt>h^s|w#Qu99piEn<hZ!e_dRzCPc5CHDtFQG)5B2|Xbnfv?xBnmS?npY=
zhz-#WSUI&RryJevWSCP2Y=!&Y$tnq<Eb>)O+nhG%B)3hHL*1Jx5#`QdLupExRALpP
zBt)d&=l*%@KOT1N+UI&-@8j#K84GAZ=FeSVH0e>@6pRY%t_A*Q6e+TN`zcku7QFY!
zDaXW7diP7oM^RkZCFyRvc#zO`bPRqny*nf9s*|~a3ZQT4w-mUD4(zB`X<|S}!xRNg
z2LwB>^>$1f-1hvJP}EY?a=Lv4$(r-}`N+Q;=wJy^#zxkU=@PWiC!QInJisa4wRA;6
z7l7Vu#<%T=Fg5)|_S;h5W*05MDIjhn^_v=}-Yha703tYuLICgF$I+ST`J_0Lt+ctw
zzIepU{q0At&cxUI<7r=m^+LOXu9SL3XJO=1?FIW)g;qZhn!ud4W$Fgd!~8#bszS;Y
zJ(Binm|$!gG=QP<O)-bn_&z7I&;AMa2PVpnX78q=iQFEMwt8wV)z3|YL0HwxTdoYP
zz;-Mn^Smn}63fS80OkhTj2;!-8|UpVHq%`;2cojXdM@PY4I)9IlLE%?1hGySw<lwQ
zQK3_wqAHvUJf3w>rm)>;9IU7U5N7w^2A@)GR|D}M<5*9aaWDN1sc*&og7zIIfctpR
z-ef6OhC)I7LTnc@;Zc<9sEY49^5>7ME~Ji<jSL_6tdRD;@<g$<CT(g7D3Hh2mK`H@
zLyFJ6D-;_diAQKffYk7`(9H2j)j}kkM91M{MI`K7o7+eiAm8|9=4CGP*P4SIS3!2c
zDa5B}SHS9wg!a3}c61qF)OSg3H{zgtPohJlsgv!=vGuGMj#8@!OeLMcT<t=h1%^J(
zj%IvQBTqy*^gg#f*+&Y04H1)yX*47shIaQW&f(%v5f<mYGl|4M<?p8+j&;=^7Pty@
zRpvpU%Q^q>&~BYx4mmwfzx5~~QPZUe6X{W1$G7Y*)y>Quj3!u)Q0<_+@Hl2f1wGv*
zMO`Ijvw_M0(X!*lPwC+-Q)S`r@(zP<KZ}5_b<<yKwkO|t_(#-~I?8ZAX4x(Fk7G*0
zj^>p^U`Ic%B6L&&-*X38oQ3Q8jd2-aX|L+?$yM6ixcObjuUuh*YkxP@aSdRi6;8%H
zW4VN3E*M+JDa$7EhcF{ooowgiHRy+hZj$z3D9{ZRBuvW47KN$zvrlEzcDUm3?%PjT
z<*M?6mw;Gcd)P(pg%yx$5m1f(`=`lb*&iv7CE-mbOl38%2EXJH{pZtrvAqud`;d&X
z^(SK{U38v%BG9)N>{nCZmeJH~$rFUo)dO**x8H^5QUnOCF-bjpfTAVi`omT?a5Bcv
zIx8$UEJZ1dcR!iI;p<=IAwy_q#CsZx5Tt7-%t?2rx&(e(5?(na6&`h4@~Yn!%<cgP
zL56;EhsJ$Fzv7DVI}M71`~BT2|4<n7>IAuqiylZCanoiv8PIQ}O?B{kn^Jak=;T$j
zS3PLUUdl{-=z6zcD3Ot{H5TdDJD?u-!mNGMV{^*ptNbTK5-&8ZTpYE0V3bnxUZ=FR
z^F{An{b%R|H*32;e^ffoW2j+HX$srJb9eIFBd+P;4kKwl@+6Rpbz4d?C!u4?+ijf$
zze~ihkosqU>UM%QEzOjEoKQegtBI&^Zp~gNn{qJy4R2=j?&D7#0#lg_`1_)E>VukC
zo4Lf5i^gyBDMHQa1MQdci<*u^VkQw>gTAWnAbg>7pVWc6heS@0n&xIOQc|{QyJ^_!
zX+UMlF_!!NDDj8<B1W%J=6+VN<6jqWZthfeFa~-d2;pq>64!q~HPd4vHa<akw(EIs
zV`;R5d>YcaT3j4|YI=`%(6((E4yA+djUw-``W%~*w(bLNrN8&mM!YEb$UTVsF6EZ#
zWmA>sf+G>p&FvG&gL01$$=*t#Mj@VJ{d7QM9Ps(JovB~Z_-Z>EA&9oK9~?jR6O<5(
z1(%8SuIxUZaj(GoZ~HTX#1xSWX6J<Bf^lD%b$XxpiYwl^>Kdzf_x)>6)+3I!6w+}k
zr%p*BQH%sgbbWhm$$OLgeVHNnW8Cg8#<8DQ#cpmxPY#TC-MnW0Y+u<SitBLdX)_mW
z<CV-UGp=1PrHw!K87Ou~hCX-w(wN~&c$x>ar`wHsz7^sHI)=;S>@a%qlWv*YG%de;
zOJcVDZ4~&J+tXib3P&GImS1p9*_^qmi9bAYGNxL4ys!G&8RAaljaLZqXku2?wW4bq
zQyZ57jd&&WNqEjZq583FX>V#Fx6EMV6h}_?2gcGFf}{|}#~->rIDwojkxbpe@?DWH
zS*Pu%AyVh4sVsufyfYW`$G?-rP<Gq4W(PeHBUiC-B?03p*)wO4%MlM0FGoj;xtSmU
z=U^splP{tQbofcueR!m+Lj1JYN)UYlQ_;K45p?U>vGJaij#48KYC2ozYE>7{A%InL
z^hbJ0*@I1^Jk+h;kkw}Msf&=;+fDIHZpGQQCN%B)kkkY1*#tpn$v*1&fqFBo34^N?
zbT^l<Dj!kPpGKL^-Th(y_f<`LULw|kGQ432Y<R25b0+uao9sg4I~(tk#)jaZ23KFQ
zlV9A}sp$+B?_<0Ln*B`Q>$->CN|Qz>!v0A60q9AfTi%X6{?xsGAzKvEvkYKG5)l*H
zW8AR&#l=pTKd-q*vP^DNE$i)HTPrUA*YX8@xyeH6ke32^Hx(D=;dLdLt2T||-tPEb
zR6h6vw_LoT)BKLL!0hPN&E?V+x~U0Gq3dJu)985<E6jepEpj6F3h9h++^^F8mDpf(
zHv$>QLH~IpEED7#R2<a>INd+%U5{?SSG;;nildwsaJS3Os&T*8)SJ2D%Y(p2@c2}o
zgOIq7!Od*6CDh$Y+n;YxyZctg(>%yWxQ-O`9u67HjN0#XEtvOyD)G$iO{2vCs$!W~
z*77?h2DWJC7#;Y;{L}f*Tn+llnR>m_-n3^?)(VEAa=c@nVy;>xx_GF22Sq=3ww0;7
zUDFdhd=rXR%lS5kTzA?rLVwVHt$C=pY-ScT*PaH{$T~9&Zk~9rG<y1+KK1-jMicsH
zU%fHqFNIRjWi!mWdISZCZ;fBQ!$0DF^>{Y-mfX8^r(d?J%*49ayYzIsaD~*nQV#d-
z!{)=5SLcHVTUXMajdg)lar>Mch*M`y8W?$-RSKtiR(k`Gf40pw<;WbAUuj%p3+1Dn
zex7(Tf!ql=*^NanhYw(bas@zSiqP$?NeYmrWbXuU;`thJU{f0ve}6SCd#X><%P*y2
zq2Am>?wOa7JGRasue9hLyDxVX+dKHJyDHnFe&zNZfy4b<Pe9rA(+*Svkrkvrw9``z
zu=7xtZQc0Nkcd*3YnUL-GPtP<>ieEPbvbWm(SF%Y!DFb{T0?EiZmdDJ+7qvtEJ45h
zybt&i@(y5+m<30##`^pVQK60+oB=Ax#SaR40g#&ioM}U$)cA4s*Rjr5`;-|8#W9f`
zI!CLPE?CPwBIh1E4;QkiKu+>_JVGAb7o1Y9*iP<G@OQ2BfW$<OzhE<YA?)dB+oFM@
zSx*zu*$;by;2w|dj<mk;F$gN=eEZc7jF_%jyY{zr>(;OR?`Pd_zx}r6x3!>k+F;oF
zU1%Nn-h&(d(8c)rA^yTf*!~&0V<Ya@&>D^3*8cX}f!}_undbjmbJHbYwIt+6P-0f%
z=*!i@kg+o>!1v$(X(b8>l^@JC{aR!6pyT#W>t;*ouQhD}r+2KH@qm&rvk*wPP5pm8
z6DVl{ub)6DdS9ROYt3-q(N(KoYyS7(TLU08^K#neWum=Hb0Q%zovLbH0cyWRA+ld<
z{)KljF|r5BkkKN6+odlnb*IdUW08%(d;B;Yea5Yd1Mt`1%F+r@3CBSz<0f)4<*?0M
zz+$DdY&@eDSfB+x=Yt1pETY1UlK3uAChf7;<P*M9?GbT}UfbVAm8;F|9P2OW4k7Zd
zRn_z1%(tgke41qSk+JspA1OKqD68CgOd?%jXAWZ&8_l9)keF~P<y^H5^|M4Cx2b5J
zGAXA}j4D_~^4l*tRt_%!bke=Rj|=qPsV?C%@VTkTeTNrM8wwg*zrRgbaNHJJ<$SrD
zQ@L<#ng$3~`>a?1ydh}^j3iyv>vHw+o!^iHke*vVS%xWc4y#M1E*Th#jSuVI_9Tdu
z>|yg+J5C-)J`cL5hp2ko0BuU`Xd-99Xm$wpC;<Z<K98QqN8JRSA~p;QCK1nxpF0&#
z(sII|#MGY!bUP2aUu=HXmTUIxrOVlu#xzP;Az~)T_C`^&A&?ymHSz6J+b(VCy4F!d
zAy_P$!qhIf0X?j(jkF7<7Qb-$i;2K|X%PZ?{ds<OC9(co{)%N8C#S;v4S*srp+yrJ
zrU^@?_#1#MBn>56NB1X0(E$?Cr0oS407Cwifv{fEqwGFp?AJT|xc6{q73b<se}6eH
zLh>RrQ^0|VhG50w?S722l>29mu@uNGn#qXbqpmY^1&+amgY$>P##qcx7MvBJQV_rf
zPKofZHPJr19aRnWe@P5MKfT&nw0r=9BRwlRYu$|^C^ZG=YKzU{P<6UhsRw`m%y>_n
zK6CFJ?Bs)oil=HTOX=ew3RF{IFg4?i`*<g%E$fK98Oqt`=vVmge!*$Id=*v@3-1|-
zaNBjA<GNqMLpGWVS~pvG+PI&`bgDF7vf5EfqOzR{ipK4d8g{|tEtYR^7UJjTuCMG*
zam<O1ppVBaTY%?%s`W>Gn;j#5VQ}z8sgpX>|K9aG=2dDxJr~Qca>$2KIb#?#IB-%W
zJbn$Iy<y^G(gkvqQWO@S=O;Uvnm&UKx&y$^8gB!V(VxlW+rnRKs2o_~aI!pGQtYa+
zw5zLzp(<d60CS%rFaps>2S&qRv)nTUC{74V*<Ou2C>U7i;Ngo}cT_+(9(ay39qIYl
znwfgwgyvu>D;`7*miZA*Y{cS>g^c?PepqN09<ZH`hAD_hI{leZ^Np_o^eL?V;_mUZ
z88ZT4Fdt<uxaYEnc)Z6?4JjDFikagpLe8?hJ>W7<0F4gyCnAX<97yX95z8zgo+Rm=
z-;_5`$Qur>y||_ILcayUs^aW+v~vM$;U$gb7|Wo4dmSo>pbLa}b+|nbn{zGi;Mt+x
zOJ7<)4kp_auU5R_kCemVQv#Q;)<JZXzmOP!FO`C5=`w(h;9>EOd>IZHmEL4oD<Gz<
z!27vs>E-$Ji9E1!MayH+kMmdP%XUD8R77#JbHu2iPwN3e-<XSAszkgg>Ogi<lmpMK
zpJ$hcnG<D1A-Z4gvGBB%cFHFJWQl@Yu0@(Kevy%0y=d7I*4hpOmLr7Pq?`i9df))v
z34Piw^u%*Sd&U{kq+B9h-8=x&r(wXZ&4!k_{mG4HzJj0$P4@C?$7>pWU<(m;ei1m-
z@Ix<n79{VCILj6!Gw5r)9;Jy_-<d8MFB)7n+(n=9FWw<M0$ZBK!dV09RJc5Dno(?X
ziMI#>CH@bG^uv9o!r?E1H!c^_cFl2ET<1huK4x1dg&q%rG{2<nvR1)88w$`c#P~%I
zz08v2Ww@0Ihj0!Z3(MhZtZb1UGMn?f!$XtalIDGUyT7#dShCO}VDI{69DEnXx~tL$
zZW6VNbv)0Hpg}002T2)a6G#~F*2cFb*-~UoVN!NO>_fav&aj&`Z2;vjxDjT8tJ0gH
za83(EfW?7eTJG@lTk`SM^}a8Gw4V!zh~jQ<$q<-dFB~jG>{>FnI|D#rLmqL6*jPIk
zy^Nr*`H)aLG*_N#<)7X)@>pGG!W5uyb&?YeJ`)lzGg?W4fh=TBvpx;}xbvM9FFH>z
z+qip{LWo7jw#sw#8QEeOKxb<Y9K0r^!oVo%Ek!K(vLU*&V{Ks9Z`C&L?Ccg0H&A4g
zl##PMn0|{iCiB$zs(c6JMJ4GRnAV3}v|6lp3@SAB=Swt_Gx~BP-ph-bpVor=WnqO+
z=19E7!V5p`JV&YcY&wxJgVrp`1lFN+axNP6FC6R`T894-l)=b($w=<(gJbb8H)!C1
zMRfX0weRh<UXRI;m~e<1GXej0k`iV?*@_Kq4N#h=!i-QThBPBU3nBk1Bu#r6FbllM
zd)+iHdUvs-**KPSqq-E-y<4RQ{;`7j31t1^@xRQxfd3ZK@Vz~oS-fc`fLU-1LxE~D
zC+<r44GZ}HHD57RSpjm&JbJ9l8P9?EttYmdnRc<f-Q6A-Y1Ca`v1D|;X(v2Gdps@P
z&myz%Fc(NiHOyGEF65z%p;8|j`tva(C^s`VGq#dcuMj$yoB&O6spk;|>F=F0!MMdT
z8e@aXInM|E2|&|SutNS@OjEN3N#qo$3KjaH%DF51FdmO(#C9_Z)jxlxBPXYfF2r4R
zXBvH>B6+B<)i37j0@@qV3>`8P%-!cl^&=Ej#4Q%%yQ)zfe*u>pSu19RMf*008q#vX
zM|=!IE4}w$w_XSw9LT<`&~#Yb>yy-X>CC-6xJM_9eGgn`;Q@fn18*>fOk!dIYB3Kk
zBj<|Z#tZxh-*W;h>2ho=j6bik3gCc2(c$)nd>sP=OB$+t#n3DDQ8@oYlOEQQkaO0)
znB|C$Iz7c6@|_QwpS|g4RDq$ygIUCoXy`@?a{{>TsJ5{0)ix4s{Ekz`-q*KywwgKT
z9sF#7sk3P%WEPOH=qH&gTlph&DqhsO^~0wnfv#yqOXYDHqqHEfm_sPKp@6a*g0ep{
zTJZp!a9rMEMC8GFs6quHmcrz>)Yx&+zzmY9reFLy^yCAot=QNT*_#hQ3Fv|r!~b6F
zk$KR6_xY!O_U%h%`v>3O&9(D-T_^_R?EwX@3MRX^v*UW93h)9>BVnNUbWy7w54>1I
zn7x6`spO;{R}`Ca07dws<b$(xPK!Q$>6PIN-lC38{lg_t<80b*oqT=7NZ!-~UeDBU
zxIMd}wd3u>w=o$*r!AyFIQDA#)my0Vtn^UWo!|^|3n&b@z~6M_%|D*HLxC#qM@bVm
zI>!<X3G&z5F+}om{?@l=UpQGqw~6v~6piH(z(+iiddL8uoV_+)kdwM>b0>SPfD;mP
z0)SEcM=?xj#fOXH9E^!)fPHD;Bjh3)aBYH^s~M@*%a#w4PU%+&kl~`kuB&=I_M5RB
zJ4bf1bw~A!9?O<fO%L4D$)Z%}YQ!Wh`@Lu<o-$ePZQ6c2r67dKEufgc5o9V`003}3
zxHw@-l)jRwbe`Pk-2h&>gnxi^m30lM_<IC+Us;_^OTO5q>A}IQXy?nN8PYjXYI3?p
z*U$rRoc?$nq^L;cxOM#gik^D`g%K?<6(NS_sP=D`QKD8Yo7Nsf`^~r>eAA_%gO2xf
zhA*Tz;^)<FRV>%*D(Im6JMeo*LjvHuPa6A&zrMcXs||Pi<*LWBNvAuC`7LqBj8va6
z&>^Srs)ye@<#mCpo33X9o01+D27DEpgT7F}>7(5S1D;ec9G{fHpR1++G!=sy&zf84
zKcX|PRb}1AyZKv3ht*M;y1uREvx928z&F=Kra7_lheKVUa%7*EvB2nzA~i<s-DjXm
z+#2gTq-;Um9?Xr7QEB!JyBF9+BrZnJDCVO5B^K}}o;L3|l*Dz0#szMQgg!}y2Lgv9
z7!4K!z1!(9_O+V#B3^%IkIe^~lJ6#_b8and&CKMJ(mCjI7>q3!_8-_9Yu)wrP4>|W
z6%3z&=OMX&M2L0^W%QEpbedGVyvF%tD@E%_;9KTu6Q<{KomX*W&v;-II=UFrv?Zf!
z@!kP5n@6|nHyzx<lDEIrwUp3rjJ;!K(3G)*gUi|}L(6QTa$Jdrqc$UHrb7U%Q}}qS
z`2GVW70vFnA8b~8KFLFskj4koDgx*rvjoA{+1tgLg@arvxg4f(h5{nx>7Yl|mqcWr
zxhf7?K77W$qyu)b0i2mTq1&-Iu3FK6MgQX_UT-CEIgc<ulu>$aA2;R@%ko($`PH`>
zbhZcBq9ubye68JFEA8p`Bm&;UK@BV|p@7mTT{W|F)W3cTxAcbZPomyh0w3pYHuXb9
zRHC<&woqM+1z%?<i7o|!ogJ?P1%%CT?th(8O#h;sMd$3KldI<{xR_<Qn;Hjce(zFM
zb`<-mDk!F`=Rgjp{ewyxW&Vu8;OM=Dk8er9@L{^G8$CTxo+C^!-uLO#l-GbQfKy#i
zBBY}QLG+?W$L1ZNdL>z{0BmJ*Nk5?=9QlO=Xd!Q*N~G|FPj0GEC$tOmt<~YFD|P~`
za)My!btwt*a=i6r#j-&E$7_cA1}V#tyt=n3;YKA&Bp{81rSq_hCOvdoe`mWDyL^Ih
zQnAM}EFCy0$-Jr7<uAp|Rp8jQE8Ga8X-Nj>@lzQU>6?>Q2gd2>EJ9W{wdvRC1~3|^
z<>C`EKV7fXXD4tY^^wr{g}`OV9B}1Q@gX<y|LkrKy#dKh9KRD1O&V|AG<$cr^?2<a
zq`cZviXyRZmu8fW1CX=Lgu)pF+;u*vN<`xLq4KFn7@YSRcrxO*&|dTyTIO6==${%X
zsJSB}l`kC4^D`Ns_p=8%Oie?8=s8~^qSq_#9@Sxw!kug`g;;Qp4mHTAR`J{HIHVYz
zhz~>tgE0QGz1fC%AgkGOIOMc|qom%_v@qXU5j4)9nxP;f3No(&GLJAT8|su02+{Q1
z;K?q>MDz6i)MV~~@;}nn0lxn*tUVHH+@me7(e8pHpd0F9gYQt7C7B)Rb!P$;ge+&^
z;jn&X2^@37#~q(!w^mv`9l$u!DS}<NWh*J2Fu`2FG?dqcNtdBVtJSe-j)v;v{G7b>
z8A^i8&L?mNpe;$Yh8-pdr<esHXHCC7xa5+37Y<Juo)ZFF#jewCHFMtzDW_WhZu*+)
zVyBV?y)Xy74&P?&PP1@j#D7=fVwI@b<bo0{?GPK<>rps$|G%0(-(d<X#7V{R%@N>^
z3l`tf7q4-(k{;`2ZI#P*!w=bOekYX-fEdx2)j2(1f_e*|tZFQ{wtMNq&cU%*qzgO5
zkf3#Gnfaz`rX?UL^BgQz@(H{g@ML+sd@BVD>C9~5OX?$;lSM^E10@~?Q`mv{Gl1XS
zW7Aq&4xZWP&x0q)BJI+%!xSyP06lpoD06H4=~Mf^xmZvQEC_APlGJ5g?gj1z5`g?|
zecn~076Pt%`)%$dZ>sPD;F&8I?5`VdoMZLNB<NU4yPsW2RRL}Q2xkGoEc%xg3KKA}
z%u^gxiN}<fJ>px=8k#C72xpD<=;+u4T(>=C_o9l5%CCz>|MzzVf!D8p!cOH{MwK(w
zl<h~lOpzX$m!_{^to*X91Y<|Vgm|gJl1ZoRmYR`S_B={@K<_Vw$W{ktlR25ZY&zSj
zMi)>(B_7yxksl%U4tn7rm&<R_a;t%~Q<&pL#UER7@U9w2&j3562Fff5x7QRX<89o}
zl^;mT1tAG%uNS?S_lcUR=2}J`VD!mm>Jns?h&*ku2u9sn9_iTwvw*Lf)%JiemX{U>
z8(J0dx1|8c#h9x_*g34FrRU`Eg&`}i1H)mUrNFK?=>;LDP(c~=DXJAh3^?W0_?QPt
z6E;ccbM?p+bT2u|zUcayfY-RBe|&XMjfgzeIjeXl(>E#NX-=Fiy<QJfBbD7!{o9co
zSjAf$Y}S)57M|+o>3UVR{o!kuha2LgM;Y3*QX}?P_}=Fe-ZbDKovw56<snq??-1Y&
z$=RK?gJE`tUZV6?`-+Aj<(FAj5<%CK>>8a2HsSPpstaSEosj+aC#Q%29v42B#eeTB
zq3I!>*%=Eaj0FxmUWaUk$P#XUpyLP{LBRLJcbj2AnW}{#VBY{=W4v2?IXD|1I4Gc6
zFTnWz6#A3|4f;t$>wK#oV9Vp7ASA3e%C#4j{%egla8MGrG?XLQBEZwBjWpV{))Nmu
zun&&faXl|wMDaOZ;AwJFxnh}>txnva>qiY#hwJizOpJa-GZ1Kz+J`*gyWjx2u5map
zZD@|UqZaXSbpH$~ND56T6oIzCEc}lhy+e!-XxrzFF!F%kL%StiEaeu8O&+;u=Lqh4
zS|${Vxd2f}i?os{@W(o-8Vfk)&$IV)2YLFevFG;Z$|rW3$UE_c%mpP7Xzwn`1hOX|
zcBdE82QtBgC~GZse7*u?+s8aXqbF)9@yX|rX)`3Oah=W=5-EFJ#hh&Cp+qS<?9^lm
z^Sd`vU}jA|Uz=>VdL3AFi^=JNa8oNdaG!_k;Mmd*H-m`N56sBySU!WoQE@1&cP@L{
zs}8$^C&Bbd-yccyTjos>{dp-Vf)p$ETa$JC<Hb%@e-s{l@Iw%U&xq*0&y}3BgRxhC
zxAAno%3IZhlSuJ;!A0`c$pIlD%I<M5p9z<dL=EDT(*hdd6qbt(V-!B@#-i$=@aEkb
zB<#{F`}&9vXJ{pW=#BFUn8%xf@G0?0J5dA8z#Mdo9J#CN!7Jc+OXS0G2#}i;_n)-_
z<*3i-Dj4?R=4(@~1Hsv7kEH}7x4=Yj8H~ETZd3-?g$mmbZ+MNXx==h2^J~pwdlxV6
zt(kEqPO(#hzrNZG0Iy(}p2bgY6~TAksI139Hm!4Pc7Z@Uxz+uIvAi5#e!`|$s9eBf
zm!@(Jr!V(o>7gn*Eztmq<S=#xeCDKndv284CBg@U$$-0U2<bwV?n%zY5U-1Ej`$JS
zvVR#_YUiU0vmCYKH8J|JM9Dvf={s3pJsE0#$J|Z%<7#hU!GU#Q<*|2wZBGPxTeh+b
z_$`^+OamBzml0*JIj#g;nsz_1_NpB$7Du!){U+!55kT6l{+{l7Aq*&(qr~9@dWcG!
z*KY!wX{L1rq&l!<=8Sz7>zzgom|d0|(bJ!zKAx%TH&U+;cRRFD{valcK#_p(xhz8h
zKNooiVHQwwc{{1h^3~mkJd1ndh2s>u-Jqnzt8xe>k`0I3cwnsbes_Ukn~UbkwcHf4
z<MBra7nxiTN4cS*C{=Op<-;Y^|9^Uz%@rJ!*v~USmq&1$U&zX}Jg4c?58m*@F42Pi
znYGzj5G>8#Mku_l2h;W1W~MB+qPYZSpz3Slw-%U%!}tB+cG;$}D@}+lFAG_>7$#js
zrqlpW2w}@>;_P=#&?39M?#vvsdWt-3XPNr-L1z4^d-3}mO56-UGIs8+_D<esoIa5F
z)q-dx$&WA4XA@3#&fyrPdH#1r0zEj1Eh33h@f@kyKD(GRnUK`psQ&d7vjF7LtrLms
zJ_A{$(H1?x|IR#tPpi<*DeRmRJzxRhzylAS#Yo6jWux@WCCg!31q4LcF`R1MQS)of
z2AQZivfAcylzq8E&n#1(`@%c>P+HMEAqU_DTjul_*WxS!VG-`7hwD4@Yz@mXW@C{L
zWn=FW5uc?!x;bh};`&aMfS@(PkxS10*scb0<epPO^RI!3ZH@rCEI|f5lm&fRAyXR9
zj7XzQMLM9h+uhF%^7}2Lj52tNF}tT};N;!L(cGODA08x~n|9VJ<Atg~C(~wH5Z~?`
zn9=opNn2vn4xzFTNAR~ZwMG(0Yg-pQaIvQ)4~LLQJa^6$5QWs-j<=(zBcy>H8G!lC
zuVw_cdRUBxtWS?WgyKzyg}r`jh4^-Nb?bu76`268$vpu$9Z~uZf2~oFbK%7Ge>?Et
zct2eX)f%AAdniv9EunI48ZegpB@iKgOVGkmZb19W31b!DYP^PNeN1d>E~71#SVmdP
z0cx#^Mx#vu&gG){53u?Qe79d?iMk6WpaIz@AU(;Jr)N(FDm1x;uR_*M*BvuTR!Ag3
z#5_$3G5Eq!?dCBU;Wl@$%uK$&Z6tHTgd2aGh|vnDNCCpMX8lF~15d9g(}nsQ1UB;~
zbQBM)T{dACEbMQezs+3%({n032;Bed#`a8hdHkt&VOP1B4m1OSCbuxJ1Mzij>Tb>S
z5b#nl{N64ZuHVxGtWQ_!g)GJ%$m+52gko_cv#0w}iB&*2O5-Un0(@k49pWQ(Q7^kS
zLmV$a&QU3>0|vJT7{%&HJFekoQ3u9)PDHiR(aQv9rIWM&?fBMMf(QOHiS37qk9E;j
zF<0~`iTCiS)?Kqf+XYs-J{wm0S!0p+$<nSiP8HAG$+QxvfV6~k$!1(V`dwpMhb&s>
z!-jo?Bp;9I&YzXD)^n||7HwK`u}0^S<K#n<3eO~0@^NAQX1ZG3_R;HKl+d_<h*c*v
zR4*QL!96F=1*X+$B}qul$Z-4IVrXEqC1CqU+W~h4>Dv7>E+gpn$LzjPK?a#D0W&H8
zcqGf~pA>|A@-1v%wmB*Wa(_x((g;3a11RJ+I?iyU(1s*cXel!L&EW=$6CA>LX9GTP
z`5J#DEUZwdx>q!q_6pu(T;NL5YM5*Y8t0fV+d`VhMa@Oah*vb$*!df08YIA!h@p<X
zVR{y7#?uPaU2H((j?ncd-^!QSb-_ZsatGkQlNDgprIB)*OFcI4ixCk(n=CpG-e_>g
zlq%a_8<^_8g^Ft#Z`H&ca{iPe_$++EGZtW{MZ6_SQ|5<narYlQoAD~Jc`80ZwF-+O
zsJwD7_#El7_Uf2?+8LbZo4#lm7RwM=-m;wd@q7`MkCv|fJ|&VJU)bk|T{?yLUHODF
zUu$#4sOk+x@99Sdf)TLcV*ZZnpZ4v;SPDa(e8uF;N5V`8m4FhmCQKqF)$N*Z?Ghyv
z1lQvQJ05mo-L=ovO?IP(&=Y#F)l7Zd71Nym;(a{J{Kp~F>)freD(3fFub{%{$7)8n
z*c_gewLt?Q?<(2txHdeOCK(~G+CB08QT%W8pCwm!tc0~d08yb1yC<Y<DPY1lu&o-y
zuAN*oAWEp0PU?I>rHY8&o27g0s*N_*91nd-gUqq{&Y9Z-`S-rpvC!usoj_OzlgBy2
zx*>yailt#h=LNcgo+uhrS+{43us?T$`_o)*)G>lq^Ct>`Xw@SPGnIbBt%^vPRBWN5
z;Tr7nKNMN_Ffn_aH@n{QMB~ErnT5lHY9jrLDcsU)8+(5Jm!n@LV5LT3eA#-nW#Pl8
zqSJN-0!_%fCOeNEKiGwI46$3BVEp&2KJ!Gzk14A1BgqBXkltKk)7r`4Sj(SqS+L&=
z>T~WF-3Q~28<KCIbgKQ{b{Tdl-Y~PHaBy|EBqJxqZG)%-*uaWXs5DWm_hD&=sd!QU
zf>H<RhjqIgk-<EvScpL4Jo>{2c6vh{Bch88W)sK0Duk@D*!1CW>1O%j)Pu`WMDiqJ
zQsX16Fg6`u7L$b^W4$P*(HT;|mYz1=YOn1v_ZEveKOou8X6hoX(6<H#Q<KfxU=yI&
zJNBXh09l=(7@EsC23vp6G77JP*cw!z%kiHo#NfkG#YvFU@E#p|t$?pS6xfWTa<cw8
ztr!aW`r{Djx#tiaCNg<g%y}8zRSi8Z;O=;}58xWYtvelNiSQS5K#qe8ChVw97lXe9
zm2i7|@=Hnp7`+o(ZNE7o^XY6!t)lSR$k|~mqhP$)rFPyYFd)B(bNYU<>2ZV})g@Zl
zoEx*63u#~|0bT11i`+<v%2d|kyxnt(%-otDvX*dykqmRMH!TPUiXxhRyA9LeXsJb3
z-zN13{6qjUU@e5dYd&P%z__BkPP;e*`*X87GTf;cLYe@rpn|4y=BX%Pok6v1_7F-C
z^njp6v<ufw6Q&5ZVT)<VeE=gi6U5B~iXI#fJD;t>N3y(VatGXcPTFH=7{ZXgymaWT
znvdlI@S*4Jxgz5aw0}jld5b1Lg$R2_$i_+C4mi*mx1i7^0o51e-g_9xZfHc7u5UMF
z+0RP5bv<y;zW`$v%?6Wsz%6^&6w`g@ue7lHCc;?))rn+6bqCD6qt+-#+GBzgp<#aj
zY0q&+DZ)Am8a9cH9{pC~HbZHAV|huwTVD)?jW_Vr)DU`q8VF{Sk}-?2g|jpB9}0Ge
z4Gd764(%@qpAETVroUAqoY3BLKs@U_;bbbPKkLl10x7VCD%2NSy14RDsL~N=4zN!D
z;Bt_hkqj(9&kqk{NWe*^eJmq8oZf3wW6iGIXVSpVDrT%7U8yyaSM~a}0r9v5-;@p!
zUa4n-N5Z6Jo}}n6+OZ4qWw}Y0hsWDC;{=R~aH9<J|5o*DEb&LPp$?ESTKj47RQ5RI
zv6=ln0gt5U*~=~}I|~$=xTH57Kv@~=LqunS@gd8W_<#!o<EhJ#P8C!~aQ~1o(c^TE
zJzP#o$Td`g5Q98qFc4Tx4rFOOUSGJ;p;C?&$g32{;)38en@^WO-oepqwI7(Fo0j4!
zFRyRgEzb>mzj<)<u%Qr<Uo?9M*LJU@sEjrc3)|WZY7iu8%sR|4_>vC4h7#{Gy)Vef
zszsD2ANtoSPiPdDw*y?GYk6MnAPX$bLvsb6NAkF?r12iT;*typr;MMtQZvUNr{45+
z&2Kvn4l7LBDoIa12N}aoyQ%LvIqz9=J~4;kp+SWkTFx0N?`eus0VgKX6tqlI8y})r
zc6Q{vreQ<={>X^uw;eD86%Yz*EYBSAX){BESdN<GojfDAb$>wwUlOVkYT5DN8O)OX
ziQnYhZ7TfWX)xTnqoURII#7`PuDvRv=kFv^SvE^>x5}eHjw%ZksGJbf>|lG8SsHVK
zar~V2kF$#(zaBPK^4D><>D5SLf$G5q`jOrffs*RoR#CXih)O%R+)6HRmp95B#LVKa
zGoD;Xg`gR_e<LF!h7K|YNE*!;SCX7>lBu0h6IC9a^D*+}Un-XyqpuE$>cH9Sj#ec9
zl`crQ6LbDM1U+q>-C5$X3ny51|5!ecYy#r5Rebh)a@T+tcgWC^Z^`n;^NjG6-?ZjH
z>kq6iGXrG`XiDHo<%n&PB<bAsyY=j=!3G4)bFI%^Cym^zaR$0x6&~tj(t=WU3U57e
z3aC$Tynh!Q&5`|WnXV}6vj}x}!YbN+W>#JB)&k;S4jS+R9sTY{``1WLF6->=?Cmb*
z)gC@#m+glb!1Z3iJVSN)<KR4(z-tvghs<y4aCD#E(An3BY4xP#WllwfQC<8qn1JNE
zz3s9Fe}KIL4Kdmo^hLb_C}ZaZYeLW4m(+Fv#k^G47x!%csKx;tU$#=$ya8$pzT+o*
zRcW-D!8zaMcD=yP#Ri{Qp~s&COoPv*x}1U+31Ho-tb^WNupUo60Y;K_JV%|pe!M=i
zaoCzvKHj>KH--BWuTwe`X0n!JW=+D^*)*gFy|8^)TH;}{HlMqrwh`C$rQSLeqTF(e
z=!5LV45eSlFS+Vw*B6n?dJ&aPc?}u67r1C{mK``BD3vgb@!a{{=MUs2x>XGV*P=Ni
z;B-Np$%YA&eY9hA)``zdS>GYI>JBr<dZ8*B9~F8N@m$b~yPACndo}$-fvbDW?@H5q
zWzUD>P*fKhuOG)DF%Y4ZN4GJUG%oR#TjfO`aJKmv;&c7@t!-lSr@fw$S!>5yd#{ST
z`7cm_=!C6hhoQ4BFao{fUXfn^84rUOX$Au@Jjs(V6VUdLh<3b;HWOz-fVJ2VD#$DP
z^sWW^|3t2X{G+qCFX4NP!hG$tAR@OBntq$wPbry223|`qyhM7^dq#M?-jdC)peY`{
zr=gD6SN7Gv7^D?^v)}lc)NKEB7JMj2@<6(GPZ}Z)Dv+Be%rdz};;_J<sq7=N7HgTb
z&pZ=|(k&&V<a0Bg>qrrijMVln7<&#M&ER4bTP}+_?GDZoW&&%6o;+B0#mVUR?d7do
zh9%<l8n=^j8J$20VQX5&ep&aylCVJ4M18;10hPfPPyy_v&_IbX)eC&!!6qdR25%4t
zRn>v65mB#<&La#g6RN1U^W$x~vUo$lfjX`Ku-*D)O@0)ot2$h=?Z_F#Sinek?=87t
zmW8LYFW>aj7}8}kuNIAk%`IXMs-AV7w6$<?#os9~r6v7SZ3-t#FqUaqOYE!?d6{g|
znM*O!ON1miuFw}hgih2i`JsU@Xk^tgd$g?M054H{byw42y`5Q4kc@{{Og!lmK4aS}
zjqGMz{B}Yy<d*Q{9;Dor)T#w);x@n`ck0JWM&euc+N2UG`b^3eMkLP^L<~WSX-9hZ
zbgbvF2L)}6){U7W?hdMpcC$&BoNKHZhY;FG_{4M(&qPB$T|^JrtXK1%`u0Nl$dHQ}
zhn#F7Y5f4CT@}XU2QNu7H}-2C0oZu6rEsKM5eGjQ6`Bcwu~m1?&2~1s2Pma|<iUeT
z$C-d-^J#z2+KzWpO)o0O?Wb``y)iJavfJtqD9fW+op5cN;Fv)Li=CFcb|e~=QK+$U
zIULKc|N4H$^>@p<J;3m1s-R&Ts?Q`6d01&?W!h%vUc&FkGKCBs=|mLKeZtXi8@`H#
zZ?7u}D$-unblq~Z0DlRrOz+XBiTu<ZPKdB3qsK!SB^Eaj3*@KtPg%Sds^#es^51cA
z50^6PhkUI9!WP_TEd0O~FT@M`z}7hJobCaEGWNjwMFtY6DBbki%}(zYO!E8{O-YVX
zjCjE;Au7h)3t?a46jyg$kfTmR?xqx6Ao;{CSyu-B)s}k3+S|LdYD`2BFtdp6TWESk
z9k0ydEQURdpIwg*{bW~-iP>7zl;vH5VHe<WdyMgn?y9~Gb_^chX`9DLPd+ly)Nji~
z$uoOI<oD{SKJalMH;_^O7~eCX-E+SfsH|`ZPk#cKdBwFTH?Oj?h^FMn!`m1ENP5^M
z(Q?0OTYkpnUG4KyZ^a(xoOaxhH-RsG+*NuEXi(}LizvQ-Sm&o@dc5uWKEN)38l@Ce
zk4q;io0Q!ue{kijD9#XGvMW9NgZ$tuY*POHJ$_5s(|C}22m?1n(utu{&eBM=XWRCT
z?9X_n^hj^D@^W&Zdem9mjk9~<bD+kFXcWHZiFoa#gHvKhRTQ)E#=nSs>4AkH<8sU7
z>tb!$WyCA{whe6;XMKifClJ-8@{GgWiH7dI?<0*_9fI-?jC#AEYr^8}Rg+EMpwB;q
z%~$-{-EoDK6$%6oG#tZos=E<$3vazydgi3<{I+pLe*KLe^6N&DCvl%`+Xe=>|1^G3
z3T^V3N&I??Oqt$>XNGmkmcNkYy+U|xvPOFy)Et|ii$^Hd3(et&EZ=Zar-5u#t|3q?
zumo&5pjZG*VhPPM!izJ9p!9xZK2YnGsxm2Dz#m-pmmp@n`b`=GYf}+t#=RokmbJQ0
znnWwH$MT_)>0LdLR9I2(Gku|(GHGy(-7{TuJp#4|kD2uxb};nuId{2o;&{|CWdD(a
z%W2PFuDe)~jx6f`VdiKk!(sJuW^oTYZVMqllOHT;{#tW51{z0G95?Jeo?mhO#!paV
zmj52x5;A&E_ukini~V8$d&^jX1~`fLHQHjAj7TlDk1X`EiTltlRcU@cLh!J+VS3xc
zYq+Y^F(bS3-x+kGi$x1GV7*wOp#+_Rhw=5{ncI$d1l$;$13IKK7-?^5&u%1Q29}<|
zoo#hHx(&W-l+VOK2^I)LmP7w%4s5#z$fWS3{sdqdf9Q9Z<4c7zv`{~JsXnVeUFk5p
zUjdn6#iz5E5s!2mozexTBT&mEH=)C8VP-Mfp$6?Ues-v~=Q#k48E?CGQH;5xj-F|}
zmRo;%k7<hhyuqGk{~Yv!tqI1|WU;F~eKw<&SUYqYU6b?Aa#&9rK}(?yoC<_GZ^^QW
zT#2<Vl|=VG%0zlz3ML0@g8F^PY7hNQLBf<WK>r6h^~j|n${h5jkoZnYF5ryxIoh+w
zow~BQTJ|*~^A_@nS+Cn0f#}C=yj8<>18lq*YKP|L(4Ote-oiJ^5CRQM63qg;kSOKC
zpR}*vDD-}k!T_;{wR>=^f-Dr<-Z=;v8*JbJxO*$EAQAJ^nOD4t9io%Tjq=oCd-xV2
z-!ty#xK)K)2CuKnU1*p82k+f2HZ<RW|5=Y_yf)ZN^AU_4Av%`^Q%5FpuV&pk29KVJ
z6By^yO6x5Ts7D@FBZ=us0b<XsPM84LlI`D-55_QwXSal#U4&d~`TcvA=QC5Q{sGOX
zzp^(z&uGA(iqpMfSKeW)Nor;|pU@@cg02$sVgil&M)&z>VgL0R`m=`yw4}4u429eG
zoTeBgV`6xx_{OK}*{MF&^Nx5<lK12BOT&P{K7{>}i|m}k6DkkFx=Ia!1}zPVboq;$
z2)%?D^ZXoC8%C9RuU}+o3Szmio%r!)1}JOY(dvOu96#JHo43K<;#69E{Dqs4cMBY)
zcZMWmK#Vl7la2?_Ecr5e((?$1@#KB!?N=!!8#?8lbf=5uzV$O4`IULbpS<=Zr>T<H
zh_7FVvTn{EtbzA)^(c%F-WQqynxZ0GQVOskU<F4r>YnYTFO;(O=nG(U364=ae`{Z&
ziYbUMV{Kpm8fu$hSWPr~fHg{G%CY|PMKB0mXL~Y@+$|E=r6F0de?|8mY7m?C7PEVD
zBQ>YdG3M39Le1F>Z`bVv*TXJP5mvnuU%#^4$ZwbmqGdsfl}$a&Tm{mQ<3+dxnIH9z
zT`*r#0L$Q-Af30j#L8(?HMVq^6>#(%7;m0A*IrV0WB?GdV$3w+nw$~BTFewtOabFr
zrzaz5eP8YU>P7kA^5PA5h_tTqoQ-c+X@}CRa$lO3$=cjKy}sn&XVt~=CwV&My;ra1
zL-z)Xg~l2^7PGYEG68lkzH*q0{qSe%U?~=Ug;pXSC}+7uQNoVQ4Y_Ey(-Jben$O9u
ze!MH(R{3Yyrej%8-;sGbL;D+tTu@kbNA8J9Y_NN$K0DH%R$=)TpU@f507Xu<FTqB<
z^1R#KpJ9H7$mo~Ka$PMWh-BHs*6<m6mzmsLryy<5EUO1UYZrAGJwq%mta|k?%+bB1
z()k&$1|5T`zwzmOC9_Yz+jKx?Eq*>r%LBVG<FzZZG@2p3_YTFE+&vGVyL!pk96(-*
zAT)4}tr{FXt<3W;2(A^kvHGiga*bYZEeJVXI5^nxN@&Ne7NpVy1&sG$UHqwJHhqQ#
zf82h|sG|q&I?i9&c&_c)@APjo%I97ce|1ldlDlj2+z|FWT)FS~L))9K4OkSDmn>2c
zQ3Xd$Hr1*RFv9-5g^kX*?P&$HzLKz}B1neYOO^?vPFQ$zM3Hoh?07W@YP?u1CjW0G
zz5G^tkE6W{2znT;#&{@-;&W!)+%uJ?@x>0x@@gZc^G$^FcX;3{0e^kjCD#IzX?2<J
z)r`Zhb*e^sm!7rlU_IwDJ(IA9Sw_0t=j5yP&=!$ng-0v^1CmG6dZ#94sYYQuQECkL
z%U-hlE{sr#r<&K$>C<@M(S7^;g7RNOHm?^Ev@O{|Jpn2}JhY?^idJQ(+LIpJ8X3un
z1sNB&+#D2j>6tyv&q>Y54kN6ta~he*M=yPeDktS}_uD=rUA-E3<KAYCA)@)$5`fm>
ztV=&)TkYC__dq6W738|~>w8^vf9Jd7$uY8nU6xs31Si%~FL9?yC%%be?6fBtPKBkn
zCjjX{z0sYn&yc76Ece3_4_6f;*W*Q}BzpFPB2|{<RriOFj7ioSxk6kw*UJ!4sQmPt
zF_iY)PQl14H7;Rx+T@y3g|AH3OYh1nUOB}npUb<S;ETI;nQ)h_v%Tm4=1%i4E`672
ze(I61Al{MaQk)d(U@v}-|5gzLJ<Qq>c54$D4OX(%E&(+B#%=?Y@Z*u%Azvi~oCFc1
zZAzN;P3|5ciJJ9+=A_YXK>Q}Vt^PHOEIS<sefI8^nls~}dF_hcJ|8e5E13^zoRS_G
ziCWy-U9|F+7VElo{Azly@U%|yGu<n*9+jM9ey0snoSZI-Y%4s&=&Z0wZ^8C6xiP?+
z8V5k>ql}TtJ}*HE<j>+<c)I#SZ=g_Jt)IIG=o?`K!K2I(0xKxC-??b4j<Q3+PYxd=
zS1GKjdUnoABGRR%I{snwBXOWDhJEjB7s&|-x34Lw=@n_@g5S|yg6+vMF5WK*idjzt
zPYS(@h#Ak4R3nTD+vgaHi5k<~vksxk7Q~im;rl3u&y2mojt1RqfTdapM-(t--E;C?
zJqk`7asR8p#*{)Z-uEihC;OCyRpDu~=_c!hOkr>K=Vfr{&N?7-iz1cp5VJ;)=OKx@
zr|pDCGNQ<N8l9Qlsoi!N=~wFXnf#F<4<N%V_0IX(xy3E%J3>Bc?W&QOq!{V=+0bIm
zm$a2Qs4u?w^P{40t#CxqpW8XQyL&>&K3)<waqR`8XUgz9sBk@{Z0l^;slX*L)Wy({
zVe7E%f*j_Kc&=k;R5dS{r0mYk8BE^iDz_%Fdk{T{k*f=W$6*)84qW2d3HoU%;yt1b
z5H~Z9)ZXsws|}xb78?%PESW2=c<kZ2DADKjGL-|pyb<zbP!oD&*k|M0jZZf5RQ#P#
z#Pp6zVp!gkRI~nB{WH;#i0H51DFgD?MDs>L_J06mBhuWsP<(DZ^m$M2`g60i6m~OY
z*}sM$hT@1ye4U|Ts|Gfeur(H~nT5?!n~N61N{}6hNON{FDZ+y=ksvY2PBj^cI*(2~
zjVf0leRkC=jmt3?-lDp)4#gM!Qzec9kP-hD=UxYth?-(K;fP!SU+Vn*VXtSzE53aM
zv$D~kAA^3<*@&5$tB=eTZv6Hfkt;M_&pNT0ospxqWe;c@n5r^C)cVc!ZC8knQN-iW
zO2^Gqv%nR>sS{<w&B?vGN4(M(#FubThDoz~=K%Dd``*gmb8>f8Q4ef7)Y4IradQ8?
zQg5G_qNY;uq`mRq*I62$oo=6W)O%+hUqX)9iFAJ9euucV$p3i^kmAUkhV{Vw02}{j
zw<;dYF$?|RhTHyUK9DOnIXS?V(Jk=27o=OHe5QXk6;+<ji1rzgNbWFLAI`95!SD`p
zf*cngzk`wZP(4FieUxup9ZW7I2c-JcoOxJpXE!ze?tT_(z*v|i%#sz&RC-<~2ImL|
z$CDYV`pY*)k1+pL&_>QLny)=6djz*uIv?Y9bSN9HU0F60I_}QHDYj1{oX$M_`?1tT
z9;M@)gXhN5`Py=!6T28B)FbNliII>|EMg3A``l0lm$Qakua_wR$PC^ol_sx9?F6RB
zjY`}jn3t}YZ><%I;Qdh*F}CVAuSDQqYf_3G4MgkgZEut~6;pNZ?Hb*GQKPMdYJO2;
z#0AMC#qEHaMk#ahjcaTopV7q#_if}?9T`{d?KG%jHwVs(n)Ud^%*uXGfnh<Np@+yS
zpN<3CMZ+ZNGMEd6<J-=d!F0~035|c(r}a|<D}X#*_KNNpn>W<^lK_^h_o>ph3RA#<
zf<o=((M~`&>s5bppu)oGzL6^J6}Wfrchv_(QtbFuze4TBk*+o<h(%dWLrb;axNToA
z*{*2>OuBgqTu?j^{-4T>#&N7bk0h#{lRwPP>QFyiG*=7FCUWTc**o)P90~_kLZmRc
z6y82J;>70TIRX?#*2lk$JdsX(cJl(Lqy+Y}>erf8R<IU4IrZM&+<@P1dCm34-OQN;
zSx%-24s5!I&$xBG*g%Bm+pE?daysr!&J9c}JiBY^8#o?Z*f<gN=;+WgvsxLem?e1%
z8$pEF7AOJ8zZ9j2KId>3%~jix&YHTug*0V)oj&Wp%mLzOO?h580cl&2(owu?D$ppa
ztnx(8J3r@=?H>p;9HsI3GP&EV-%3?k4|k=i)XleoR$7R+C8AcN>X#zfJ<n0iZnK8y
zL^)%^Rq^OA&CN%=^`;_>$cKh-yWS_re7j0cip{)wd6GY>k&ipAJ+zx6Nb-rz{wyx^
zGy>)Yt|W8(Ae4VD5<4~_o`#Az3>p?r^?8_LMm&BZf5>=e@3pO!Lq=7Tv*BioI^O}o
z1(3r%W4@gX*;&kc`u3j;qoO8%)r!mgdSi`i$?R+&EnB+B`cm@M+FUgQ?T9dny&L*#
zO{#IJLbb!l&(=#G7hB|X*_eO~tv0oZ1BAJ~0#2FGfgZ|fp_=(r3OpSNx0`tV@@wm@
zPI)S!&d~j019fL3*Z@Vk^#WEOsV@S<RyVY6y$`*92*~|QqK9{GJ0P|v=c3<{j_UL{
z0it>Zy9tFztKPs00GX2D+(!%*V}hJBd`}cxX+N?|UtPbFy=9aG&S|oD^GT!cJnz&S
zjg!CK_$?+sv=XI^cI-zKwD%Yj(~7Uvm`CZMiOHP`O$g2B($3m{6|-qBmDBAanAtI7
z0r#J-wZ0=)PfYypgrSc|N3x2rWp*EKXG!ce_gflGtYG&zOcTDP_wk+)zB+p@RF693
zWw9$~G$T@)`23MSo&DGw&cjv12XasPI$bk;_#It+JhRk@?y%EMXQZnuS1+3Tez>zA
z=$lfPYTbzRkM0M2oW_y^YNx>I)S8Cu7U1YT9YH;n-Fhho;&VfzWVsMFLPfh6rz=Lv
zN-1dt2lwch?%R!s1vu_CC{O$!w`a)z$I-cmGu{7xyt`D+HD@_xGv*L&<ggry+2(A{
zgo@3foI^;t$!TVr%{ix-V^KNe)R7!EggKNcC8m(N5jli@pYP8fF1s!lyXIq`_xt^N
zJ|B;_WZlRaoy&ANotvWFbhue)Qat07io9h7TO&Mc)ofor$EGe2-4leVyoXF)8%eZ^
zL%QpC#s!hq<KS4FuHqxxNB2Zr^jLj)y}INDN}+|+`{Nv1Z4pE9LS&laTN)vQue3NI
zgTWG?ku+oW54X5&{DIewa%qAz6`Bq{ercTjL)`727J3uwDS?#MrDa3=?*jG)!yjYH
ztq-+ZImfNLw^pP0dNXW^mM%VdToYy98WFq2(Cf4P08Dkaq|dr}7e1m?rtu~%68nYj
zS>ml}XG4GW0*=oyl+Im;^d}*rZSRa94OJ9}6+)Jbd2JDC%9G0{ost!!ap<w9FC3%_
zo}Ge4V}{cSzm255a)M1gVh#DW80xe6r9<)<p!Dco8yj3O(;zze`&}c-weOX`PF;x#
zEHhTweL;#1Wt~HRt-R==aBVzF&P8r7EBSt}8q;SBW08PE45ivd7$WTGgX6)u=IrMm
zuijzDYB%&Kwv-0HJgRpF_5k!xApU&4U1zGc?6&fXE&0v3yrt2NcSaG?|LZU%KaCe*
z5^^(EmJz|Gd0+jR4>I3|NNRMwLDmvSCrdOuprZV>GB5g=jkUGeRRgj`@RmZ7A^3SA
zash4qjHA+JjKZ+a^$~>}3@hN*FgB4<nnRarQ&l>d+iU?~u@g{1<TW)j7iirGYJ&X4
z+mEunNGJq&#RH;s_rGRfQA(#tvhKd_*(BsQ1d6D0FF&D_M?~Uk-Nh^-EWw_j*_W7~
z2-8B+>&-ZDMk`E>yA1CYy5VnQe3To%>XN-6aN@~uD>M7sB{(za+S@9rgxcqYRV{hf
z!EMIq98^yq7%asR?yVA^&do~HkFZt3yq+oyVsr(yLPRCOL{lJVR?Na?%ht(Rw;`6K
ztNV7qLlLtdmLWRP2-&RPJ)T+2)|TKcdV4ktEE@PREl=z9hdaFeiq=V})@HS8urX#f
z0GmTHfNyFOB{h;EEuYcSAs&i1+2%sxRZBpFiA+JcgSOyEy+EMC)MC!ZOPJb*oPiCE
zywETo-CGi8jgKtelW2+;Xxd1Qk(7Jqew*}Ll%a7``-D_h{?T;{f!Ae_eoq?4{$X~_
zV7xFSG8E1A5Th-lY}{$VWIDArljOswdb<&qp`?w91zXi+DC%=n^2f<?W*=96O_9V%
z%`0iV7@R~eC3W$WssPG73)<a$yIDTdGY{xovUz;^qCg+Oo(1#xwIZqHtZ8DjJxy#V
zh9mW^#R@7i9Cw$dDv}GB({%z03l}r(?wvJZJXi|NmeuW4Ph1l{@f*s|z4L3Vu~(B1
zwshF7+}q*@b!r{@+cw&?P!@nZ`&y_$)%@1hne(SBpb8sTlSQB{Q-%C#ZCKLC?feEH
zCHnK_u|9GuM*5b`I~9((h$)2<8JFi>WK(5d30@58v8HtRIE(xB1qJwyso3tQ%z6xV
z$w{PF7@xZ=vY+rm0RidZ*@kfGAlN>wY+NtG-&Iuf14MQl<6IPacgNbx%KuUS1oi+$
zDN?F}Kz@U$$DK2K!||1ij<oOCLDkmCO9w;rkA8_?ej7PLxYR^#9d@*(L{I~G6UFx`
zP(c}Cy`H|OUtxCl!MG^*_kPA%KTq5)l;1yFSY6UO0i<a|ORqWr;8s<EdDvp|LN>6(
z@n;sz7OxCe;&|Dq*M@RoV)fZ-b3T<rJFtEwmdS=~Xn05Z$6J+#2;U{QHT_ln0VRZW
zW_@vFzW_HJB%ume=QMK6&M^D76a_|>nK_wvY<f8x%9<R(rW6p6frnkELrxMw((O6K
zbyF}=t-`jy0(tW%biN7YPDnSU`fTTaf2_ix7S{>gRzRC5quuT?^xC>)lNZ8dUwoAg
z!*?y8Sesj{Jy6`!-VRvW4Xz(N$h>~{f%ya#My0>#(@+brcbhZ&=->MTfiA;azLUoS
zEq3jm)ez0Mt+3^k+0bb-))7rhKZ6kJ8+mKEp`7a`i0>9r)g}xrifR)9rD7gfY0LJO
zpr|fslhk?zSNyNmkVY^o@SR<d1-^x8%gG)tV9UlUOlFnI=CWufc1x?rZhX9ohqN!l
zVe4Kp<e^NCG?1CV(VNFe@>1krrER69g7sB&^cf?}Y`<cEc=L5+!YSx($5DAy)@X$>
zkLI+jO;z;NhDSwEhN?&<GRR&Z)l|-v8KWMPcGOeV)M-$er4ZrfwDecqk5_Dd1UFaT
z%<KQ!=Zki^__)cX>}Z`xulnpaf{2ZE@;wv+ME6~LtPBBfNwiWWwxt<Twxnc5=6cs)
zlBVG6F>RB;aczy8n7bw-@2E$=lg~?TigMr1n~QiN5NPfhPzUa-l0IH=eX9V9HQ$<B
zC~y`*=KcVuKMp5Xrl4JDDsfj`41?$aOs?KR4^W+tLz<n2T3H0XN3U@X*i;z@?%OVI
zZx<g#Q`HzJ@tzI}Vo7*h%gjPtW+%1`1s8sZ7ZQ+>fSW?iMZ+a5@y$5liqA?5z@E$x
ztH{q>c&rTDEj>CG5qBQDYN@-j)R(e<tNvB~;zNMegHoE?5o?nNX(YRmG@5$s*-vvD
zZdRCT6skHJxuoR{Hf2m^t@~&+HsMcZWu;6XIPZ2W#LFooxt^;rVAi_*o&c+329!Eq
z_r|(cp8xdi>n#VhgGF@h+5YV5sPK;LUW4xR4M)#{ICqYqE#&48qjO|X38Oy6@=riT
z<{iu|HCr!nM^pi+$m;==X7<SwCefy#3a!~C21{N5nbt?o#ishBB03S=MtF&V!jXRb
zs=Fqg6-kaUAw#yu5Ld!oEZ8aQx?b`Y4#<O=zlX$pZ)#eEWzs*Qdg^=AQ`J$O=01HD
zQM}mF^F+fl{AaX9BW+Dq0)<Aa2+gtF3S3ibMs%jPMdfHCXQ{<fXUNE|`s&-~QK$ve
zlAfg*ZRYbkmE19iVl2X3sshgl6kgn$umgJ7eQXU2Y7KOpBBs~?LV^Bi40JKKPbc0q
z$-Ps#fX$eJ@LW?$c=8$iMM4P&#ndw(3QqMUcql0}@wGRb@KV4O@O=W~HoC)frenK%
zHgu@VA-%#}2~S7Z1=Uj$T$4bIhLlIW94bqTC%*8x$gdARJ|_Vn!wF@JFrSoXYFX`s
zPY;`GC>`$)Bh0eJgjzC_aV<TI{g7~fp4xfax`tHOpzfA{h-pf5{fF5y+;Rju(%>g7
z)3)@Oq0es$CL0NP3MjCM_)J!n-;r8!|6O0y9Mdw5er&NxO(UZp&6EyPnT?Ufc9+uf
z-q~sExy_|V$q0Hm($4$oj#XdHSGs(7-$E;Z60|^?wrPcS2~SH#-E2T8@(C4@-^ibr
z7e{3=mv|IOK)*dJ>si^rD@XOMv9qs9<ze-nOu!<6O@BLEs=On=i0z-i$unXlDy`(G
zqD}goYf8HX71A0bd6^vzaypMeMbj%wojqyq%p<HGyBIgTEmY=a8t5YAY*ziZE|mSA
zjP_l(>QYd?d}Ljb>V&~QOW*e8_6i@v_N#j_yDBjDFH(2$>!6XA+jcy^TA2&8vAvTz
zKFdRQHvML#`i5JbGrhl}b<(qG6W<<z3gZ}k6SW(Qo}g%7V$v~VK4Z(-8FZ|>t7xrl
zuL|fqyh*FndW7Bv4)^T`SEh66ij*6dh@pL&bv3N-b#%I@ev`fvF>=CA1}&c-(-~^x
zzI<C~-N#Ss@ULCEC&<(@3yra+LRQTh<4Mh7TwPdekZw*e%!)Q|%^K&(-m<B{Oy#wi
z(Nv|l7ZNI8nTzC#mj1^B>7ud@htN(a&ofJ8i0D3sf(kD0aNbv6>sTl#%F%RrYIoTB
zg$+Y~iJ1>VaL%JOhSf-)MI{V^eH?J|s$QkpS&jOS%*m~h?R<T-i8UH|6?MBHZT1i1
zC7-dCo`hSAsYW&&6CPO`N^bzodSwE;<fAn%-=)?gT;>DOW67z>i%ZCi*-fXcR3jv?
zF+~W_)$evq`ZIJfkXzQzWJDlGcm#2h$2nR@)@^n5-HSl_qaV<QExvD`-32#x;yvAA
z7pY=4Pf#~%!-#$ksGU`eSm9o*3~U-5q7+A0#VhhdXMv#q-7TqCwfW0NA;fhbB8+%b
zE4L_x*;uU+83g_3Vv$YiG&DO<Fa!0)Z!8VCG3Qw<Y4ec}?(K^M=Q2{d0~LlR<E0m{
zOFPOfp1J6dstY5NZL_8BmKf_-Qze>wmgdZ_o+m`*7*!eaO6;N<bdZxx@Y!=Mi(jO>
zNIb?PRtkw<k`16z%v3R7OQje6m-tI*^7TC?$2qxS`s=~EIrhn5+3ZW${u_!bvJE+y
z*Q3v_q&Eh>Yje`L_M?ctdZQ{2?BSDb-9-mhx|z#6iM$apsBhTiCV7h<&p@85DFux*
zK!YObt4xf69B*H~>iY)2Do>=yNH0iVWr^7@Zqy%~*VRE~*4najBZ6mfjdKiniwns=
zM6(M0^djI1xR`wm2m3&_WQmZ!D{6r9N8JDor{ro!_#Z!h6jDb%$$DC_t_r!@OviCO
z6&slmV7%WEQT9Q`zHIh1+M59ps<rL!B6Uq#1<H5$;7v|fGw}|n+cnOUE9j7Nu5S@R
zYF%3x^V_#hK+q1&>jqIGEaeu22cvHMLhUmL1+>iqiD%O0J*I|szNcpu{~YS5WK*>r
zs;_Pd>zJ3s8xKhO!cTPlCajtujogyamttjKILaGUo5^B8f?iL+%%ykGCKkR8Z5X_6
zVJ`gCK?+bQdiVLf4Y1uPEXq;B=R!1n4U05MAJ0_^=ekpn_;{((LhPRuvNC~85$GzZ
z?UY9url*>P%!N&-5fGXwIb>{qs$jm&k#P&@dDHApwe<e5xe8NrcPZ)8@v2MJP@L%O
ztMRx-J;JJ*Qa{|<K~z+75PTw>uBohdz*2fH&p<_FBrMvZH=bwU`~vDk->`((iYn&9
zd}PrU-2urXE<R+bK|O7NJmbKKDeHUb*IVPPRT;UxbjffPilO1dk(@sogWTkg252oN
zo@8>s2pE}o{+I@?qvl+VXf(jENav*1Lv%e9@9=eV=wB29W5cZ?GmV@g!U#6%$kO;M
zI*w73Q{H1O<x~|b_(yRc{X=0#4r;$6!u<{|wg^{K=}+PS!8-2Hk+tf}JkRr7(gPYJ
z%=NkiugMGTssP<^68H~1J)P3=_78ThF2Vp-aU;S9HVs3ZZPK@I*L4?f=~sqm&{fpO
z9}bOGTIm#VbLwf4>b_{0Ze+n?hBR!7(bg4o=gUPD1F|J&S?i&qqQV?+%v$$d^?#ve
zuHbjx$g5&RkwDW^wm8SE!bj+sB+%88-}c2eul+qV&0MGMuDlwJg9`~;J3y74bG-P2
zNR9EX58;h}*f2n2JsY!9o#`{UF=CgHWFKbaV$P8b%+PVk#m`zEnQc7z1w;VsGcu2{
zjV8qS5erM;oPlL*{yN{^YoE`Iw(2g__f7@X;c_*(DJ*hdcrs|XjxDzG=7&iZP4FGd
zr12a?S!w||@ZJ@kGt<r&LH0bpdkX2M)m(QkIR>#1oOMvSV7=6tN+Z>N4Anlv)<#zw
zqcdO(e(1dQ%VQntmWDFfQ0^NEXP}C?Scx`^!#G{APA@F+XohgZgE$^Aj;vXd2r4q2
zCVy-j(K>+4e0dMCdA?BBJ4XeGHp%IN;pHdLI5Ww+DqAW-Q<+abDE0(+TLWvp(QR4I
z(lA=Hh+<Arl~%OwKl2jHC3b2p4pht;^QeM+eEoda*1)$980%*gj>I(zdN%glm3*sj
z=qKB1D`BBOl)MdPmW~HMlyvygB}h`#;EgFZr#%K2wl~7pZIwpTQ4L^ROMnksVD9pH
zZOe9K%x!9(S9BCDB8{gU97r?G2geKKU48vc?d%4vS4L42wmk0uSF%$>Zz*5tTOMZU
zPGIV<IVBjB4Zeb~BxeT^f>g&A*2F+OXkq>8n=ozPEh*$J6nq7er&=^Yd1O47oS|;b
zlYxkVUAIyI+nnqr1e?)(KtRUz85^W@!4%x%*N{B_Q+G@mmX-KL#79vgSVSVv@>o1c
z*0#CsbN8uyx+?R*q&cfZ&#r4<nv~0lQzUg|{~_(N-@OS+g%t^2OKq1I(HCM<lN_^G
zL+R_GpI<+z*1$n{>B#{@b)+s3AGy%5j7t4(Bum7GHj02_!F9Bozkp*sTA1k<1ZYOY
zEe0xA-&fBXpPmhVlhhW0QGO%g^(G)kFGjL0(MZEViKT9Y;LnhO=h%<V#el?ISHK~u
zFWgUFvVTr39k63*67imLn0e@ionT{FuYkz|WIUibU)pu%1pquKaY+50FT+`FHU(jy
zdGO_@kd@pxn<gWrf=*TXlE0`jAG9MYx|X7+iX*L!#g}!3;}u(vMcqK&Y*mi`dkCBV
zV1^-Vp{0U5u4%Qa3B)wzWDvqmA&pb_VK~`aOmkGRRi(1Bvg25KPXl-{KFeGJjdCwi
zVS8ADogboN;5shUX`j5cKNc3jCQu-xF-IPWY8*xo`CuaPrFJSdcf(2YQ-$I0l_jsG
zF>)n+i1T(lYkKP7b`!-n@cGSnfvU<lryzhO?M$Yg*-<p~VG*SxeDjmks_@$8j0xf?
zzYoZEN3A3n*29jqz1em9{fv3M7{WRfMUtS%kXxXYDyBDAfnsCzBs!9ze%9})d7%&b
zk~>wIYs<GD0~J6U=+js}r?{rj*BP(|QEBq>23<sQ1uk9FHQx7!LtKTa#v&=Hq9pB&
zi2m7R{DSpjT$Fem!j?AC%gyHr)0W_&oUV`UfQZusYBKP?Jhv>+8sFg!mCo9dzu_hU
zGvo=uUt4k}ck!Xw2RdYSa~*w3kNI@{s*^#bm6}Xr_l}r@#I!Q7dphw)p{;9~68yiD
zRQ{va<=hIY<Eq!JDP~Fy%Rri5iUi8<8b`!BxvE^+5tj!O-fA@I(uhh>0&aZv(~yyI
zmmKD9RX!3Nke<dE)7VQK9|`!y$%a_R4#n0F9#^&$qu4KiRh#`KR9Z3%DZrtZk8LPK
zchzhJ|Eh6RlYc)@L<u~2atfF*5VHt-MMK*kJCKnpt9`(<n4RGS#GCS!jbji#k9k5g
z`d0GN^T8f3KoA*8U-LWTv#g)A3?1V=LF__d7&;*TLQee~(zWsj(&xHV<3j1u;~KaK
zlMLV97G`aT=_gEh$*p5A`ZxWpw|c_R-lzTNTzr;K!QV17H8#LeG5<TYee$%EyJ=z5
zsNBn7_~t_{*?e9k53-g>CmV}U|0{|16T~YBMT0NANoWWNW&KIe{k9&48+VU-3|M49
zC~WNsJ$Df11~TZD0sd6LBipL5D^Xx1){BaLB>d7)_>w!{GsKyXbfU2IxgX6+GZ{AI
zb>9Wb`F2bdDm)i$aa&$mHSFTADFCTB8nYj*V<F&V)tF8a-2t*X;Sfn_`B*SMBY+;}
z$M+NMbEcPei!}%SogarVT;4EMGGi%x9#pgLZpgQy{PxY`fJ!P%ep?j7ElG{VxQQ#D
zG_+*64wq5>)~QbH<!olbeKN_Gu}l3^XtKD3AA{a|Ua0*M{lWrAt?<*l2glTy%U#|)
zwI$E*_s&u?Gp3BQR6ZuVBbI_%cje7nl3Htmm!HuBB4*}du7m*Q?*^$%b9upH1~QQI
zju4vaTY+nQAWc#3i7e35)--CIeUta1K9f?ldT}B%G^x)%<srhKB0h+G^l*X<cGwa~
zHh-YPow4rQy1+US{w4D+{>FQ{`#eN8Yq|peoYo%@^SdZ31G-PS+eg}TV}VmMP7bhz
z0@CA)C5X6FuxURsgQpeYJ%^j^TWkh5@&<UbtsR=~oOh+mo5adtItspEy%qzykecrR
zYLl3&a*Qg<%J&S`Mp38#seB9Wd(Q#NdMBIs)hsd+2zivCBSTt%SCCXUyZOO~IrXh;
z!Y<rc`b4ahj7^pBkv>C}ia1ob{5@SpAJwLB4hSKJw>toUg0FLLx2o7TtG{q75HIv_
z&#n7Z%yJ7OY9SMwwrxULm)!OQGqD%mq}@0>zcKo0UhP9c&kyP6C;mu%ZlThC<7VF$
zU29%9_&8J03`*URhR4PHAky)aR9Eh@qzXsr;;MzNnZQfz)k=MK{w^s`^#@|%X{Az#
z*v<1u;}cNVWjNKQnw`rSGdz(kueh-%+rv!?%0Ydf-AK#aNTE<%iZob4_5aS~Tbpv}
z)fkM7Qf+4Kji=Mkv)2BMMJ8_{3>9CcSQb)Mj;1%j;xug^2*oHyLY2`7433U7p&#^?
zjy5&L%7OAB3o_iY!<k=w`@UzZw4xQl1+n2cbUZmMO&wv%9`7;#jcb{9A?FQhVK{{R
z3XNwXVm4K{cF)DBsU5M_(kJWuct2mJDktw6Y<c$;gTe9(_(?1b&ieL4Qd!@f3QCjc
zZV+!-ezl{qRPDEVj+L?sohFueKJLmB_LDE<P=&`Imh`1R4$jUhDG?#dSy|@`uKSX6
z#gMyV?aF@nE!_?D#6^yVn8xKrtm8BwmZ>_ZlEM75YF-TQnbxN$f$?8JWy-3I_hf#1
z-<+d#xXOeg-g<^1>6<NE*pcB+w+s9ZSjIX))MI1b=CgOXg??Y)4`nTXcw=MsS3Xa4
zw^+?K(n|PIZiT<Wrarl%83p&VD^8*({FZY1x8M8h#b<R&5F>Ml^V7YvOO18Ih16=Y
zNQNziA;f$`?n%_)+&e-xQWOF3Y%5KD{Z-%1#p3)c<In@Jfd6%Cj4{W&WLnBsol6Tw
z$rBhw&6>dcho3U3H;{LD|Ips~)>P|D!KK#3G>@$;v&Zc|;ul2G5}MQ6-095brp#~)
z5f<9BsM7awQ&_Wv416w(2n`zKH#}Kri`KZjQUoN&IhvQOPjUfbz--uTm`a!6r5&VO
zFk5S)5n-2P+kd9!k;c0a4WC?Txm?yUe3Jp*^LZWz3YJJ8BC(^#WYM)YbQizA_prW&
z-xv!NmwJR7P^~C<yEbi+(;-9d-Ud&KmW%|@FAGE(7MI?y_ANY?+^-bZVpmHPe6|-*
z2>X0j?y=Hy{*a!QVCl-%!iAq&cLhHk2*yr(W)&+%>Ak>FQ&^O68JoiLF8v(yo4*)Z
zXbjD?H>r1AfM2&us7r?Z9kqEsF3WFG@(2gQZk+YKi~dTre<qn^{Yh0B%9z$Ci(zwc
z`UP^ar?-*mA*f00Qn{ZLPJXy9>>^N89I{S-!=;j?T3!k_Yk$(jYW=nhgeVoo3y9Mw
z<68T2vKoW9#BAtDVncsbkXt}Mzf6T^vr?VNSF{|Mqj!*8#?eioVY<c%ttwp!^#dwA
zFm+uBWIEH<hA1Q$ka<Z(`eculOu4FJx3xVTB4OI|=k`TB1Z+7_0W7GHE8z-<0c22m
z|E@NmYHH#~L07Gk&GqO98p9QCoMS$xd)~JCk%bZ2XMMtcRfw{6G}O%PIjYi4x2!4L
zVBm5BAgOj@wY{AxILIAKMIb&iX#tOtp#gkEIM76KoBC9o)qlsFa+Vtciw%hVpr=iz
zI<#xPWyw5#O+if?`K17>p+<Zr(Z@RP$ap|VstzVeRL|WrGhCOR2+Q=gwz~^%u{-g6
z=?MTZQ1`Cs0v3$KRU4^2+8U7YcYiSSJ(8)W#A;>wH1;aluelR<(IJco38Ud5Vt-f0
z<rT~*SKHWB{RX_ZLNf&^1J$ABYku{$#V+}>#QVR$Pyka(P#uh#G>O~vUsbXdAt+h$
z7{0ik%vSDIMx!o=0`VkLq7~Y_6eIF9yg3jEaNW*CnOrR7<F&dg)*%^HsNyL#`D@Mp
zpaMlZ+I6f~Ij-99qv$23Pql>>KwXM;;@kAMdq*{N&xU8Kt0>Q%|7gA%8R1={<SUJe
zp(9^P%NCyu_r*2mn5k-Fx7w-%q!?nBfiXrFSYO(6QmBQER&%_a_pt@A@fbpuh%dL@
zD@LR*;3M2Evfl*7ELPxDNr`qY!A)*KtaJ|Rxaop?F0+^Nw0vnI2D+cAl~`enjhXD!
zCOi@_Y{G`i27IC|XOA3E^43MVx-|28Gu(!<JJ!*L#1mb*c8W9(DK#$DKslIL1Qi)<
zw`3aCSb?>u@A2D)OL}IM9ljtlwE^7>rHb^*Fr6ZOY~_fJxG7|+DZ|B?BAai{F(pjR
z84Go5lsBBxc($@013&-svZxZdjyi2tAoW=(_SB<yi#dAFPS?e|=Q0#DGam*X?;_>J
zd5ZqdVy+xG_NBbHyo}a(_B<~J;fK>Ee4eG~X@M!-+OL{y$-ga~LBGK5@E6TzzeO5^
z`^AQoL4nGV-_*V~`&HBDO^{eY-b300Jqe4yhbll366bzf-ikq0bF72%EY}Hpsj`=+
zP4`+221B&P2Xv!AIq;w81eT3$;n?#MXLi1PJjQOvkj8373qO!%1Y|t*cixdqVV@YR
zL(&!B&F6CjY5A$Zg(Yfa2`O6)&m_)Y@3LFLhBeuTb17yK1OYOXj2%o1?5Or#Rk6-&
z!Lc)k+g0{61wVAP79KM>46q{*ET9Ku1Aqw#OvB7lG@EF^TzmpkSI#zdBG4I1Aug)H
zV)gkvUxzYZ4D}wi;CC|2EN%l)NZD0i3O>uVx+mNp8m7r6MO&Uv_no!~(Y-CB8t7q(
zo?9_@W0(UC@02M(Wt5dG>6^<>pqm5!A%>Y$%ZrmkMmZi@^UU@$<bs4cDMzp|hfiSc
zUW=*D&?junSxq~J1~3isiEln(*Gs=82R0Bvd*3f!Kmh*6sc9lTcpKhrMO!zM)_1Z<
zxN6J`e5){R`H%IduW_+QWz*fii5RrSDk$j#;Q{bUK?AMF)5i|Ft(VZ)tQ<v_!z|FF
zM75kJqlE8A{ymg2GGVeKXhM85{_Kv;2Vd-9cC<3(rFhn!&P$>XDNV(dh*39@_&t(+
z3Xp$}uonIvqEq|6xUWy_0o%IhhkXeuDmH2~_U4^V#URTJ<H3M_{lQdx_w$PD0Zm11
zVR0CkgQ)r9m-bQ-&EyNF?97pUi^t)~-p4Q&gMjk1)x$?R&nYFhY$}HjQqk3sMPX9>
zJU>`$N?0k%+woKeH^V8q1C<sez)JeR|Isn-n<2Yb?+0Z}6TKeOE)>^pYUD82m6UK^
zq(%WN@CqGt2BHYSIeg;azsmt0FAzlb`}(|K<}tC4<qJ*ksh!q*UvXK^9mNQm@*!?m
z>e`;in-&=nq}Up*tgk*1*@|MBh3Z`)*2$8b{Mtt#l6Fw?q_oNprTu>P@t?-zk0Md5
zJzA9BhDKI?whxdQsf=(dZP7CiQ9Na2`oG&^ZIQk|7yinIt*8HuyB9P!-<r<lu*%k@
zuI!H??=%_AfbDGs_llzzOeF8=*F<O^xPZv0;+hG(i8NdPAq|--x-R@nAtNm>-R9yg
z>Y$~trvh=NL#iF)_^v*vcjqWrT9g|L%wAc0eeHg>HDT3pIU2u18jF}iX-HdL%fs+=
zN~T`|&+`Iij5J8wuwAL42zYnVU;q)`9mT_8Mn*%6Yr$su$1K>Tt`#Y?OBPmEm4xWw
zdkTPI^KfEIOiKC&Ip^XJe=9nBYxjqHOZcf3obr-10gpBxZQ?ggIFTsfdK~5e47tqM
z%HC}icsx~!!I%{6{jj92LN?(MC4RHohJ~9t8UF_jOpud_m6J-|7!fedtRM{hBwD6l
zWd42~`}lR<oMZn{R`&V)4ftG63G;(s0L6L3(pB{DAxO94KKZ!_D(pFcu$wZ0?D?r7
z4vb&belhffJEfdLiTWoBjgA9xRk{OkfWYZs)O}x@`$FIA0Y{d^BlB_bbSq_~i8}ka
zR_yp@bI(3w<lUwxq-M|Xmk~#}tRl@eB!jr~zaz1LCC!Lwv$boNIRz$i8S+QP<w28r
zvi@%Wsg7Ie>VHCbxdOl7$!>g!nTZVB(CQ=Mx?rpcq%3~F#+;;inJ0p<^truvLgN8*
zfMp8q0$m}kT2(WE)Dxx#avfHk&Mn6`o>u|woMuKq%|*s_E&(fyzRaNT#xTM%Lm0H&
zLA$$7U`a8QJ@649AT+)ZeWC%QI%R|oa_*vEvTlx8J*TX%t<c7z2W}gd3O1WX59b+w
zfbJ6mKBWhFHkOF>&JFJSx!-O>V|*{K<OcNOgNSjOE9oQ&Dz*X#YYh0Kkx7g=H<jx1
zWA<YR*o2KwxL6P`V4=jG7zrHWNNF{>N5{y1WX?abE^OUCvw%N~%htF;#VthoEGg|E
zd}6jmwxmt!(*B6Dp2{<_k=QjKW`*IRgM;?$Cw$+Uwn7JAu<q21ym^-@FLMmz{O&v_
zGi`n$zp&)yysjymZRysG8?%ZxFi{`h9YyrBS(tf*>O9VfKw4q#2;Lk-#%eJ4+RzKL
zi@Sofl7jH3!q^^a_PVWi8P6I%&v$KG_Y3!c2g>bd&-dvtX7^fy8)Y_??--xV6l}i=
z)C8;~H<9t#WrDZ_pLnS%<}#KgR0&LOE{gQ&gJ%0!FZp5>(aJQ#It8Zub?{2zgxN<-
z(qX^ARs4G7_i*|pP?_deJ32@+g-&&5zDc`fB-A(?3q2ewn@r(rj*u!;&5kzrq?8(W
zhjFI>!kmZ!IH=K-SfW#xmHWp0kFHy#8yoST6N>1eIbosTqlMBuW+8D#!B;Gq6|-Un
z|BXm3s8|7rmybvN#9vdJi;(qah%o7hzlX}rnN^2l4`_mRDl}g=R+RYbCxhz9kh`JE
z`n8bSzA6^|ydQoQeaT`Z;&i68n2+6g`B?X~^Jf<vkk8L|!21KaIkgdh{uZFr>=l3G
zUA;OyPv=JNTfUVSeyHS|QYVGHy;Hx`xRTgtyR!Elb7o6)?bkBg_=H{U@KQknNWHnb
zYZ0OW$)ZSMx|GIdQ_B3X=xc>qeQ%-)zBK7TyI2OWKF*Hj<H^$Tip5W^zFmfwCxF@B
z_tV7)R4;E&uzNr!9M6r?22X`HX$0kD&1|1$S>1)er;3z09VEphGtUxpw`8qj-v1N4
zRh7gdA63POHDsE_U3twNa%%<0<`@=g_n8JR-Y?9SK4&Vet1TFUhE4D{UKHRrp`?xX
zcp2iBy5wB2U1RdWea9V;v7V8an>L$<QUXm;KF|k0JkBxq1W-0?3G5wn#!8&Bv8#_X
zwRNLGTA_rr@nrjb*SQWkYY#m9GTr7v9tI*I5Y4jjftI{wld59{jg)(|0z0ICLA&%i
z(U*@&?NW$WDuXHz6)ORmwOuqu^oEV2O!+g2h(o0p4b_hDq2f;YbCFsWA8qp=+%^QD
z9Ek7AIku#V5BtPhG3c*;i}OV+(%SagtHTuiZPVNn^oQ0R^G8{vy5v0>8q1%)=viV-
zc*-sl%=5NQK})fP9<$2sf80VX?MA1*Fj4V(SAR#i=+UPgv6Z`(K1^E~wtf%<&MZ@g
zg#}lbtzQhU{-E;D>X3-c?6Th$C>|7z>4HtI{v=M!Z|q6S1OZ{nhkn9E3Cgnk$AXG*
z`H&)p@9Bba{OO@~U{BM6HlwN3Sik5#NH!3Q{HViGM+Y@XS95(JZ;%GJ16~n;0z0sg
zv`Gbsb0XU=bcwtW<t<R87y0Ik|GlPP%4jkF`LGW<*Ux~IP|NWB!m=@41Acy<PU@ch
z{dGA#)YYX4`)vdPJ5rqU@oC@h<_RdANy$pjg~-+x)AWJ>bi}%|%m_F#O6r|kNho%9
zWigIwrkaMlH;bF&gzNR*Ciap83T8_DFKMW_?-+b@qU5g|02vz-g?BG&@(kQP`ETL&
ziNXIi&Hq6@m%8!zs)hm58#f+BQhB<{WZGS8e)QcLcZTD4WeM6APSWoEL6cmL03g9#
zdFKbFEjScG>Jj6Nt&{RJGDBDU$Op(k^FumtLH$Izf@Kig4@Zn`z7EO;+-vde;f!y5
z%<63vDIHg~(&Y&HBub^{->ny!#iw>4^~=oH0m5T?vrguiw20v1f`jNR!0Q+TDB8>y
zu<3#|_iO>(mP_zqQuFIdOdoj<!PYzmgzMST@h6<8Qhm4mx!%V9yVr-)JuEM|0~<36
z<Jdck6==~--d^@VM03qzZR$B5L!xwZ;SF7jR%q3Uq>T@iII?0s>Z@7aZIOH>43piN
z{;S4yT!RMP-qH9dCvjXs#eG8KB=Xge{;PmjTDn*F#$URR-$5IgL&3>Z<_5b|9jRF+
z!<+!V-p<LnLhXyZF02z5N!^8<iZ8i*Sx{cM=9ftRrb$_0L4r!Y%$A&rBekB4xJ=2o
zDI&G6zaC|TzfwC=$fa%X!OIZvdF$^Y$@NPJPb@80szbXkg_|^wZozf%ov^;cH~-O6
z#@+DG=_oJsk{sY<dZbgtF#LOH%?RELfhZo=joeoiymrib!tX6!h9(6fnwloUR->{E
z!9jTE<|?z*+c`K>?Pgeyd5PgN+Q0*(zz(9dhmvFUEI@;(8|5qu`Mi1MQz{bALD}g|
z{Mfs*_=2)HCAhJUe-i4%<HRk+f&=LtNopeLH{=@%?5Pg@30Xm=R%U+shOrqni11Ag
z5A)5j=D<oLA{rl_dNj~{r2<A#Ivt~d&&1|rG_^|}Ez<BFtAF*|Fg&Cehxyu>KiieK
zDZ-`B{gA`V)lhTHban$HA{FSHg4&-l5ObTS*@kygZ)n{1en6uNe+)2pRpBO_ZhU|S
zAbxp~uShu^v=hC)*u8wqC)RtY{fTte4}@n$)M)8^<)V>!C#o$nG)aMOA-$VciZPR5
zu*7iEKUCz{jeUiD3chQVuI&{b7svEUTu_vUb$&mFmYP;*Y0BH_tZsx!tN~ktOzZv{
zxet}SFqn&@-zsSQshFB<E(W8Qhz><bYZULuG#12{=;n?P3IXW(RC=>)U5R%4lEP?C
zin`wiGqOyO+uIbJ1-++WmHBDDiwak+j0-3gWBCNQWIBwY+)_1JVP0g3(U!7Pn!Gzo
z`7Auz_h)u_z#gf;H=(x0?_69(#2l69E9>oOe&=uz6rK4Yo}^7pimd{ZH0X^=6rENQ
zp(TzEAG}Hb-X$Mjgv({iyS=E*%HnX#g*ehWv9Mhey$lP^=vTJ|*55-L<(XaYuPn#-
zU)rwqrz{FfBc;RcNUqB_;R;pz3=5!qy=6r`YcCe}kOvrCCwj44{>!(%1)Pb>d(Bc=
z5mxr2{NtEWGci59_8q%p!Y5zpZ-w14d*Ef=ppf3PZ?2>?CaN9T$Q+7sft6*KtY#Vs
zHa&!Ih>*@+#i7|h4gLV#)E|EF*B7a$+%bs}79znQfP5ZZ;<UnwP)i5qu{)uu3EO_T
z()XUp7H7K27LLziU(^m}71w8K^n)(AWtE!+iVV|%`$FSF(BN!7eWU*k(z#37+#U9m
zf&ZmL7@ArjfU{`+X0(^bXQ`~9R&}UOn!2GeuT4$?9p-CFDgBQzPCDrM(zZ)uDeWlg
zj3{NR9FaVldk59=Up`nK7~xL}O&wq}`=^N@<20_f$!l$i+G}qs=PZPI5Wy<B1K_5X
z-xSEx4gFRa(4?b)-azh#t?v5ZaVn?<Km9_vYfQxk^+sbmR^&t7^T>L~rD~sE<C<j6
zwA!V8=HlN&XJ8h-%&6P)nr-rnu_g<9(N<`?VZsP^&vl`pw)M{SQ-k9MjK7C|O+ADJ
z?fu8~h61F;9rwOlMaV}rTHFXZNh@KJLS5GP1kH7$_8~8cJC88V+e;e{v#XcZ36YU<
zTIKQ>@KOc<?YpIKWUw&Ex_c@UCs!R(t>60|)jxqYyE&WOO8P|XD@dsdL}O{u1d_IL
zTr{yenNp-uJtTeeA+m$5YS4N1N+^qT7(1tIom}NZE@%V+s6VttZDD6pY!SXv*>0Eq
z>ye3yjj=$p!ZGXgJUnrexAYS9yoR+Yh&`PALx9_$gb%VQ$2#ayHM^n?5Bl8m1&k&M
zD<ANyfb&V-VTG=iPNw~r4H>Shu+GODC?%(@q5O;|u*3}$@Y=y~$wXfKH%z@@tJmTj
zT6uabh39$EY+Amwf%3MD?Au|p<U(E@pS*EnXGJd>@UcJ)MwNb1Y(zy&Tj^IlYg~M>
zT=@O~9(CMo`#)1x41=$m@@h@BcUU01{CmVk(}%3R`c*<-jY1PV#Cx2lW}ItNaO3YG
zt;*?0w->yYn1#3wzqe0Cy7J&NnA!bv=LhawUKbfOv69{%>9x{n119nTSDi6lW18g-
z$dC;E=Q2*%AAjWgl!!``3jG<;DhfR97%$b3*}m!_M6sab)3_`7?0bMA0-*9zYBa~I
zSwVCg=_j1#K*Q)bl?wLQKs&OkLkgJ?D{BeK8;ea-$6v*trI7=;hB<yLKP$g6D>~qA
ztusN+Xx9`jkM2G|+t%hqv+#aDU|3UAWb8zy@cX_Vgrm{LGd)izLSjAoKaC*Q%~_x!
zv_+Al%p)ESH>OP{x>;&5pi`5%RkxdT3Fj*simBjUPm&eku3qkG>3dcNHg386%ELFE
zQ3aGj4TI&6ve4W#8f2n5R$A;HbeyvY<ra&q-lnM7iK`0R|NF}qN;BcP!f^^C6s8xq
zgBP1f7Sa)yk6BSwY_jjrw&XC5!ey-NUv7I!m|t0IXa&|hZ5bWkOREm@Ns}$h-?OXx
zdq^3gx$&F1=NIo*<>+$9tfoItT@%pzSSGA#KThaf;*Ruhd>&d3T3(MV2saECWzOp@
zHLsaaZ~GBcrNYd3qALx9sBO$|f(d>J%szR(I}Q$Opv|4<?6mcbWo#GC&xNXNVS#lB
zQI33^U7d`_ch`1l!68}<**f~I`}!?CfPbLto%<Mm%RaY!WU*A8TZ$C3w2_*(rZ-C<
zxy_pRv>Wh^hODj@r_4epJ8sWRJ8L$mc=W4R(_$H1<r{jiS;DKbiDLkNwnB^y5p9(4
ziGoypHBm`&fHLoYfOqw@^z#51!vNC9AcC+efRZ6bBvQ|jXiD~zBIL$fR-qO>*3<+*
zbY*_>5TLm_%)`TT6!?6U=bxkh90EjFB8n&BJm8Bs(bI^lkh7-YV%irR5|8@O?8}vO
z%p$}cuh1KP!;-qrRX}gB*Z$vq_0J*TtnKe1Pm|?ue-Aw?+%dP?rI?J}*qs61{iXjN
za)zGRccg9r1}jXN?(~mew-OpknX#?=7sdrl7J+r4*#_X798KFWIr%s=%fw7!@ih4J
z`?8JgzlR*UM|Mj;FURbA{yp>v5Q7mIo4^U#f4@K1jVx1_;eaKq1Q2T>8h7{h7WaXN
z7l<Rv+J6r*!oP8X53;GF!C!$NaC-kX`|aODm1}_1vK2rXf7sVe*hm}?rM(&kp47`b
zpS)g;u61rawj5ckPM~f+FS(g=*Q8-4q|Hs_$>gGUZZYu0tvY8yzm<*s_jRB<MUB6I
zmpCq9j1`2>SZ%qqz|>|DnXsMn2QQs;2sf^VG_Lz@Tv|#IT7Cuc>S^Dwjk>tHYiTTN
z*OVrB(~~-acRP;AAX6uAX~3@JMwtm5Q4jF0enh&`0lMCKhZNPhDQ1xIvw7F%AZQ@5
zGdHAgM{56=egD8rNb^E}kpSMsa#JH$=&S3*=cd$jpQjIJurBu#Uq=8wdZ}w$>jbR(
zFaJUH_=c8#R*KMo__6>&r{vzf@g@ENo0huTgk+g(!50ri_3vFCSi5r{bi5{8AVK97
zYsM;LCgg=xROjbydmc^CT<EBH%ZG6HDDq0vT;#$vCOTYg*>6@-Kjl@P;oAGbtS1Z$
zcej0~VV7e%-6=}7@8U=GJikhudgLqCuF)i3lb{^`vBI^o``}<eO%Ile;PsrBk3aJz
zq@(HC_15-@y6A!FtCp;BnY!HTPjILKqnws$iFL<Yr$athY}wcB3%g9&A7{457e)^%
z=*mnwK3E%6eSXF`-D%n0eQcI=!hH7GSc#4PZS|<6wo47~#1wKn3om^Mt=|3jrne&h
z!t<kv-~KJ{@*YpQ{>0_Gv>C(x8T4v-L@WQjkbyKni!me0<-d9=D8y2;KEkp1-N)e!
z`O}Lgwvn(s&Ux6il<yrLeN0p_PweQjSPQ}Y!lS_cVtC#C)^E8?rkdsEzfaa+nbKyR
zg(Vg!ORCa9lG9%LVsc7i{cq1l<55a=;r5d1O+^twHHQ=B;<xvM6lEGF8LXE@OJTq6
zvQe0~Pj$P(9S*#mcAqMw1l-*ARzM-DP9jLj3k0lw@|Pq0@y{N8*WXd$YX2<!?WXU}
z#EqNfPDZ&!yL`WW1~zf!;wuO7YxqAEr>@53@#nsDekAhT@`g`|#dSiQ<-%3_ccC*@
zO`9phN78&s9EySxtZ;;jp!NNiv9>$q3{9AG-Ll&BwQpZ<)dhTYY41YodVY!5=D&9J
z(*TF-_;t@Lb=eBnu{V=jzaT#lk1;L!$baJce^)-aCLMTu?>2B7eQH^zbg~uqO)jH9
zt8X!J(gIhn>RLT)%rq^1g-pPyL+y%%ZY-4kJ*2ZJe-oYGbgS;6*QA%c83dM>B8S@=
zJNym!d-3Njn5~+Aew!>7|L@O4e#fSiT*1MKi3Ncz@kLCYq+$xs!>BN|Z^HJ@nLXe+
zr=+%ZWU-3lc^JE=)u|&fVq8E7^OEu47Rg}JrRPwB1NXnPo(x_r$`%(m6$o=O&T>ut
zjI}APa!ejGJ=z}8QX#3HJD&W$ebf2^6>^Eq@0Fj3HG5WftMcIkVQ*4CApq9+K?{`n
zMm43+Gf6G}nZ|6r^rf9+iM7{_bodRY+|9i5KQGuV|I4}cT|VH>K>XXCDvzOuM2Ga0
z8>g?Ix`4KAaxwgL2A*@P{(hvf=b4=AIj5RCb8`tM3${PE)^l8RhAD1pCr@D=k^)Vi
z-S)`+C$xOsWJ-<w`P)M1qwkR?vT9=Q$tM4!5d4oLZ?dYO_?PnY)vuab?_X?~Qog&y
zZwfClL^6&VWp0Gr>t-+=AIO&*{6aW-ITC_Ja{^xlAIY{lCaFu~4%5$3wIczL1h~rb
zU-6zZPk%Nstn2t*End<jqzI^UY}*0^%Xwpy_r{9*LnvVtUvA>()=M1y7@D5_{Hvsl
zrzr%C^Kq_6wCg_9YZBc&?pdxTTwveofG(Z(zKt1*BJ)KbRthSvghYQ=(>U8<Ds9&E
zBx>T(&3_wl5xH_so?<O`t6XoXrG5VTvkiUjhd?CaehI;J>lb`R6zfnpb6gB-dvhZ5
zm)OVC%T8V0tJj;x7!_;R33Wq4BOHU4WH3M2AStZl@PC#EJ;L|J1~l|dixAvV)X^K6
z4^tO?)nW4l#jE}!WTWS=U+^urIrPJPzUHQAj!lGD*2%z((aFb|TkF1GzxZ=Wd4|Ow
zv{IAn1PTT0iluD4zY_!m)T8)K`|~+6da#K{bNBj6QL2ByZq_QIh>B{aZkh9Kn|CtE
zqeCu-hx0Ym18X0gJX@kD_2H69MA|i-+$K)MQ}ZWHZ5JY~$xwW4h-FFAjQ^#QB}Z*+
zBzm-@(jcPZJs+$^E9xjBDiV?nOR_xdn$B<7XU_^VT@kmZus+}ZM*+ri89%VkzoF?|
z!t=<Xfm$G@zYy|hg{<6q$RVOE09|DUJw<EUh(B9ClyZXtsvf@bxb`(QO|Y&>!?<*@
z!?U}YZF$@ygpZN~Z<4uo@*m{>fbMq_u+xr5!A0+?m*O=M)hDk<^B$i3XVfWjeV%o^
zqJLL#(eN28<z#tKV#wkN*aeJQN+Ya2@kh$iz&CzH&koKhUiWogX&c`*++@UV4(#6-
zYR5!9D^mu<z#XkFO~tkPFh19Y$+z+1fg=9}t2sx6zYjEXGmZS<&QAzQv`JJ4i^;X*
z{iCM!Z^y^Rm*v?hXWq~P&2PaDQ9Jug+qI(P?1!rFwvToz?b2!|;W^#tlQp9$Wu{SW
z1pfTFXj=+%$poyEEPEWjo>`j{G9#y{2In_xURS&tv59gHaJ`gs=I}S++I)H6ruMtJ
zvvU(B5sfux$!>+FqaoI-mCBPh8!*nfH*R_|BST-7PT$Vmw>)YQcCF>b)v=5x$iw&i
zd?R%}52lb24KlIuman?uS@*w0EC`!EgIynh$UZymi+Fs#;t=zK0b@^5XO)c3v8@o3
zo7k)0d#<rJT4V9fZXic)^01R>QhCFe<?HU5gqtN#FaBFKJn;0Hx*eT>A;2ocnQ6MX
zx~6MStv)E~y^+Y_g;}<Q?8X0^ByTezgh_e+@cVfI8iDuM0McUMs}C2hhOC&ad5|Az
ze(%_QN#*5hFkbPWcd;P08AJ75Z8UBD-rZZV-|UfrNtOS7<A?B-lbL4HPWK9@#ZUjJ
zayTMoU*%R{oU6(IwMC0}C4DioLabVQY_$PdCKZz6a>uh;;=cTMk4eFsh%-ES8@461
z*nvA>oSP%k?4|c@#ZV#M#JxwJFq!(NV!K&w$<PPyzKGZ^N|dEH)N*(en;?S<ODD?-
zw>0YI_>tXDKR`m-9jY!moGVdUlreCHPuYo=jIhrwFr&r^xo?+Tp48g^Yw8Ni)$Hy*
zl&Q{XD!7QNjQA#Q(fsep^&F?iPU1%gqvrkzGc7T88uRKb{Oa-yBcy#_<ni$YrOmN^
zvHv=G!EyD08Z+izlP$Y-=SxmG1=5C^lmCebM)O@;6W%r0^y2$Z#_sJ%&d%YJ9WJI@
zo`v?PSRo9=qWqF*B_(63{XuZpUH+_t1*;XJ%!7*V#ITP8)yTe-la=-2MiM8DoJ@X!
zuIE&|FIah~+nAS_yzG^?TB$onwyA+_{bNAk{kLuWyheQU&&phS(JWv;Re>$|2P<r?
zca45A{`B|IQoH-um??r$!Mj7vO5*REMnBQT)pQmPv<aK4_T&tyMQ7Hh{Oqt(dqRH+
z$<w>=u(NjkBFA%FEu5i#FmX-6kgVsZ9u+tsT)|U5xAKDa<f6-~qZrgxWbcVf;zN;S
z#LG|CXEsmQ<<9sIYNDF)iY)RSSCy(GY{%+10w#!`B*Acj05z9?BKDe6AuM>cWR=Hr
z%Onrnt*bA4L3LL-UX70Ltp&y2Pm1&;2wwQD`m)!-nE9gTkZ4y*l#&kYk(c5PMgD`@
zvO0+%*8mr1CQKsEt2Ur}Guce<C&lHvn!okV)vGr&<gSKRpP&s2s9ikO9a-}@)cEhA
zMIR>}ExgQRL`s-F*K<N_$6|B|*-t+~7a#sue^i*m|12e9U`SjyMacaFcKqlKF)aTS
zPEF?@J7z~Y#_5)7M9a=u@jr@FV*Dlf=R?$F%!5zKoe3Dw<1M*TJD!VI{dKtV=f48V
zqs=b-icc|3s}JH*PhLB;f&0Y=n8P~sL!6;`<uY}_=kw3O+}=&7rm}uEH*}p9nrLWh
zb*XiIYWC!bi?ur1IYF9jf75YP+(v=#1JCaXUs9G1_uM~@ljTPhP6wFUyL0$kCTcIH
zRUEfw+}OG-pfcFTlGuq>Bs5VT4a}HXw>(adjZahC9~J5^I_0rIZuz`XuwyVLW@=d5
zUOO)H$mhO#WNu35Q(iasfrU3tpHp5+@DCS1G`3I^lRKop@~rlJ#a9!&hb6s{ORwSx
z5b{oYEau35>b$}C4@kB%dRzs2C3m=5eCT9aR7u{d^Rrwve*u{WHgC!`I^zCW%MT9Z
zYcF$I&G4!>7MHp=K6WJKJuLp0V`Z1s)`Xa%JS@VW-+#CKCEZbBVC}<_<L3p!)k71i
z=|@%=54saOlaw^CJbAI<yIX%f=W9YT;iCQ9+@I0*XVeqEh_VSH_9<aA9$(bEmv!<T
zMLMn=eVL{%aK8S``wX<G=`f{wrDdg+JNo3Ioy~>o7HZ!Rho9D54mI3qI!PP&_qu7{
z;l4-L@(j%5^lm+#cDh>+J3gS(t~q@u;z`@Sr(pfEsAU-*J+PkcJs{JGh^Tz%k-`kB
zaUcD+BJ4?gfkS+vr(kZTMvjvD<&-obfpP^6&F_T|3u}?3{6atK^+O(o*mF(35T0q=
z|CDjcAg8?A#Z}RCCFh7M!q`IkQk|NUdZ&8HqMU0YCX`?lsR2vjM;9JCGx<WYGo`aH
z_u6e+j=cPn?{}*PVf--xE{vP^4A-5%MP55SllA?#oBC~!x|UdvTMQWx>^q`^BF3o}
zw(r1xzYp=LzKQNt`YN%waKXV9=2>s@<=mvMxA>FPl)B0X(L__mK1|{&Avk4JwOg?o
z2UQr=YZAWp)m%J>-2{hTa&E5HeJA0R(t2N95pUV?K=|c%1$C4ArJZPog-gy4sQCWF
zBkG)p$CmW}qv*<`q59vyZNkXDlP%e1kYtx)vL(xmS?uD&WM5)Lma+}96fu^pW1AU!
zV;9Ph7?NcWl9aK9B$TM{Z+`#WbM7Da+<WeM-{(H>*YjGiBRuKm)C*xPsBN^@`=>g<
z)DXOZsrt6_5bK+sTMo84N8pt$lSVza*;!3&LkfxAs9=bqP(Q2ugm|B0Rcyu&I=mP|
z(&x~nUQMe0)aYNF|48-n;QnbKf}zn@0)wKJeV##>-)LzibB6wq_uf9@F;JWPqy70z
z-?;m=VckBl2eQ`zo_45izBS)-h}!}e1ATySzeAfKsl2{gL|M9tJ%;l5v2n=S1Yc`q
z=eC%cXJChej3vr6{zdYYj%-A2+V*osPvfIi&#lQKKqhAbunc-A;%G*>LeO?oOVZPF
z#CS_h9|nr;U%4E2jxV64lXC3-N9!n0DZ*d~?M;#k+sZAKvudZ`#$4ToU#LT|P~Vn6
znu2u17R@iY(?#`OqdFygAaAvW<S}zN9%{aqrGjaLdPor&z}jDi`v9&JN4>}anoDc+
z-Jp&-f`(hlF(A}}^X!64_uflw<2t@^N<q(sZr4s+K<JvYbBCGKrJWAy)!H#dk%Q;M
znP91E9@H<8yLY5*)!@M)?gs4R*;76qr2qSTEBYn5n6Xr}G-Sbk*r0H)w!XT_+!A`c
zn5v9zfiVkwLNXceb)TfSx6KVaoUV>F*{vB^s<OsxBP)v^ep5P=O(}H!#v<|!JPTru
zuO_q+00w|Cz3I1{GZB7+F%6GFk_1B&`*X2Nepro8NAu?aFB^VdB|kN>*EFo`elj}M
zSrAg%kJ+o$3M@3fGA%sx?OB!0Ap;_*UUmKCN$8PQbZ)BsaqMKvE5ILT^ir+r-3`^)
zohqQ#a!Ae4YWM|J;kG<kKGB}`DrFzAK5%vIhM_?W7y>wf%xy7|+&5pLjT|x%3<Z@J
z2OzOK{ip%Ae4804u5Wh4A2lwtF@*57_304?zl@*?kCQ-S_m+k1@{I7jqT=>U;N#A^
zvm3l;xDw*eOiw4v!6QmKCZlgo1#;F6w}1Q;Jw6ZEGFUyQbqmrdaHUuHv(`BbE;P2W
z=HXj;NbOf!#Gni}m#3H>1NI1*s=p~uKD~Il>s0rp<qOpKzA<D`BIy?O8R9%Hi7U<t
zepZXDwRk*hs+K=S=>!@!PBHCP@W&_XQaK##kL15Z+DEK$iAnf?HUI&U4kFh0i*hlt
zjXyLx)ww3=CuSx=^)h-Vm*u5z1p_yf<MJ$Wr;$D3$!ZJXod5ms4Owvh!Na8wS+Uxo
z_h85RbJw0u2Um)!i&za)<-{$(Tt!w3=Y}CTHWDjvj?3yu_&dI&!OL=n%-n4dLg-l;
z=QZnid692oEJ8xJ<4GR7?bsk|rGk)qDu(+CF57AZvQM6Dd5y&5^_<jfD}MNf4Ge(t
z9uGg`N5evYnXTOV`B4KhI2E|}_#xeELhN<gL-(+9yUO1-myLg;u#bdxc+!>Iu2c{N
zwk*IJq1BU~t{=7a%+BP4qQ-gZ)!JR%uwUlVpZqenP~I$EJ$Q@eQ51as*335H`akC^
zlilIGt@Ctv?QlxhUN7kGM%HW+4|J~32+C;Dn$o(TP$NEY^c2PK%2zU*Y1tva%q_iu
zzLqd5NSi1vXgK*vrzD1DysY?CqiN&@lT<dYlAvU%1&itwtF=uyqzShu^g++hlbLsT
z<VlVmPQLbjZH7JhH0+kTf713&<~Q0_4`mFs9ZTM+KSy;TFO9CgobG#4iksE!mc-tF
z6V`}phWF$@O14aoK;k5&|5!rl@{kvQqD-{dl$uIul^LZq6=0VsAv>fLbaz?14>@+-
zi3WK+-?KD^efLz>g(MEcD_G&i@)kY*9+s-1_7VXes;g2wMH~j@ry$-v(kZtZAUNwo
za?FF{pT+`K#kVbbGO~R!^&b@$qmn;NY*V!cOXBZw3vRg+HOmw%>L4LqjvrN5O*9Ra
z)!J12C@l!{N6Rvp4gO?fcUdEt!hi?S9emKwi4A}H*liP4H$8V+`y$Ech^lWP(27kI
z5$*X=FUH!#gz&vnD7X}*VA%P7{SUHnv$f~3z*B_PGD{8n`T9g$XKoz#FpHM+{(9c+
z`%{VKgu1|=!kK_vu-^O^rnPMv8$v3lmVsnqFY}3lQQDE0&AvBOoI@=*F^UGzc(^gL
z2W<i14$h`?FGRW$ZztxE+s&w-gXE%+Lx#VUkFNG)Y4%Ots2QE{{w^94fovV2O^@RZ
zNd}NSmsv|tbi?;GZ1zi4oIp(tS1GP%S&NNL{yOBvK@CJr&RfM;Ht}-a_7gqYwm<EV
zCru|Q$YXjD9|G_kh^8E2&xe{UwZj?)$b@4vLomi<LF@!3;UT**t!|Q7nsoc)f}Hc5
zr&$;DmnTNu_${r@R<Ko*HZ*f;b<t=p(m{Kmx-_>`k4v3GH&lIWe_nd@_zzy(o@KX|
zx{Ad#zqwalFbzd3zIOkU(ymu&Kydfu<5e%XKwQAzMFCfCR6H=PDl}ceC?V349Yw5G
zEX{%|48iJL+DuM$qUs3PU0650(fYv+YInEml48nU$It8*eMX{?@<Gu_a9%`!&`GEW
zg0^s5D^)nLp-vt6Ct#;_Z6fCn^Stq0hiY|W7EMj$($=#|`c4{aWyF9ppCs<7k~;E@
z4+mY$Kzcwtth0w#|K7od<$+zUI+W+hU#b-V!pyt?d8)dX@Cn&AY*;yuacQW8^cA=)
zKlHrw++jWMJD*)oIIrm(D_Lc-*NX7lmdR@@zDX^<6)SPt%)i-B_zhKg?4B)@90GiQ
zK5jBdXAS@5f*{9h#hD|epQo=G0irR<jMqn;jGNIXA6Fb0P%epuD#I0T=CJ~OOvFqv
z%2a9&wzrYod*vx+;zHo^jEYvE5H`1}W^kwE6Jis!!&e;#x~~Q`&lPiu&dIy5;rvQJ
zDAfIbOd4%$)*EEy2_szNc*R7GyC&j~CpX8k^tJ@#jipmV^(<Ij0qvppH}TN;7o5RS
zprmlRc0r5Rr0qh<l_<>0Er}o^j_P9x4pdzYE5C$ebzfYgYp08ts#_CDSn3wnDM}*(
zn{?e|{e3Z*tB{nbRseQD7hJYq_PPb;An??AiXOt6K1|b0DTxRI0A{H2tax{ABIUYS
zBc*#{Ik<}IN-*z)z$OWX<S}?XTnua^q&USYi2EG%-zoC0sn0DN$}z|-gIt>DJq-8L
z^^T2K?XWuUf!(VHY~mDp;8<?!a7p<(0j>OG_tlB#t`CV=1T%jLfwO0IO2>%u%f`t0
zOI^!T47F66PZ#~f3_l&|pcP#DU_CgeB6Qh~2GdL~myh9||LXVG#2XD+Hq^IMBN~G?
z3=qO!+R#iE8fJYk&_*U$65BIMN$AKIsbXDcUUt#oH*-Izh(`S>QS#D!stSk~8MrIr
z#-%M1)-BejXoSO8)1>C~ogFZ9O!0c|pL}hd;07*YPB0?vnSOLVsSK%Ep@VED9Ha70
zW+W&pTr%=;`inJ$-%ec8w*a=qXCK_u?H^H6MkYtGxlP{yAq~`S0@%Q{MvJr!nb4-b
zo>~?9u=m^|mke06B@0oqB45KLhKp1xZm4whUJT}3PI=afht93xK~m&P#-}Qh7dO}U
zs+uFdT=B3<1uUEBIk1ZZxt3)jdL|IuQ}S{?64>#CkJz!~yMhV6cD{SXE7pxE*|42b
zfMn^lx}qh{j?CKY&2cynwg~G>32CTAORwC2{O^s6<OUF0+mhxKcv3vC6eM$^$R_Z}
zx>keTn?1X7b`?>$+4MgqjLpI9=a;k?g2p=nb^B+Y+X`gG(Dk|(FyNHHZmPC%+X4}B
z&p|+vqrHhjr))cDwW<53o;5pxF+BY7n!P5o%st(rA>cPb)|YvR6C-+Ul;45i((ISY
zrUa&p$7W44fm@}Q0GA<baruHDTv9n8W$LK<57?#V2pM(Eu-1~bYQsrfUc=cI;FkM0
zu88cGYtLQ~K;3lb4lIxIMow_N5<0W7f;jD33(LBK^U0P@Gta3N)l3xaktj5~5Zu~>
zP3%K+5D~60rAu4fP&-Yka{H>YD4E*ct#G9&qWywHgSx{SI8&hMLu{II{<qz=BPCFL
zrt5R|Y;<r7>?L~Jx*)Jn<*OmVeW_GWWuoT_&bq&5dDd7`zPk2Ir?X$gSwWJ0*(j;5
z*t==;lbnMszk-MILzaB;NxI0D*1aT<=JZFaAeD5f*<P(~#<0t(nr{I2<%rp831T4p
zMUa_KXEJ9a^4?F4=RW9k;_q5m09$uBJk9l;<BDZub)|~IWYX=&0BaHp;w6`aF*Nj5
zJG;i`;4IJlUuI7=(mZfz3o+|NtX``5=3+wKsMH)4rXV;Kg3HoqUHdod6$#P8@#Fe)
z8y>tMN{Q&qV<LdD{fm~Gm|rK^G~o?vfP#gaf|O3)-RC<^AhDV^!B0?|ex+*4zwh#w
za=MQMd|!W(2I2We&$`iVmy0GZ1h$Z&9PewSM>au7!-_w48DR~*b+z?t(p$8_Zj%FX
z_Yv%BDXz+UQr9l_zu7Fg^bK*~VkPi7+DiAju!YuMXy)!(4?RmZlhi-iP-IWej4-M3
zLT{}@KPo?TE<3ow1+-d$&UHAXiT@K#g^D{w!VIh8kxz#junHMWO3Xc}PwE15fs)DG
zn;l`=y*u50ANlx!Ff%-v{J}p;viv$`#npG-(0h8K&P&<LX?oxrV%%FXzQVNWKNk8`
z!qtO>AHrFnrIudiE!#E%%Ys9mSLG?gkirY7;8^X~le4aFBv|si=4Hd5ymCe1miWub
zbGF~|em;1B!Yqig0!+XW<%*c&6ZV@2t>m;xzbvnt%;LV>PVhC3ErS^Odlm|Y99luM
z`dNotO0`Y4ex?ul@{VYJ3qBF7P}CTjd|1U)sjY!sk~>9MG9Ie_F;Jz1^qqc4RcCfp
zL@wlQKLu9#g-BRiC5@E+PT!x%E>S7+*iH*;k8iIEd&NJ*;wP-d$-P+&>6npN7jYMn
z7D_TW*FFW>dR852dhPYGt#=qt-G9ao4B=!7OWp6iwav!=0)UYoWsBt$I&Fyxk(<>Q
ze$Pp$yUyEqp|<-qmz75$X*Lqhmyo=#0b{0q!Nezx>07atnXT@y5U0{?L;c!Rm4w{b
z8ai<-ItLz?tu{NI!US%)!PF*M>bUXx<?Y@?7OUJWx!|O?rqi(V9Iu~7jDM-bPk%*_
zx^M~Qaa`}K(Rx)z@Po4T3xc!SO=%z>b~|ra4mSC=gJIQ9<<@D#1Hdx8L6i5HEhg(y
zV}kTn({`<*=xrQXeJA~rdVP?ruZUJze-KS3M+Ow_XCMfsb>1}a^l>qs)_$rZ0!xk|
zJp2V79W^s=PTn$#oqP-~7{z7Dk0^~9K<+V?!LOGQsc4f%uEBt&pJ?yP)};NJt@akA
zd1oA3aK9`y<=SeHf?=iHJ2rXK)>VN0C#*g3J`dvKrz%?rnbR>J|DaUuFR>Cx*SGau
z>dB}k*_0JIIYijQ0#LSiLLJ*)w??G`6F!{NbXwfz;k)f(Xkd|TQe+rUt&yB4?b_SX
zd$!)5FTpus+U{eEaFR}T(6;&Zd?5U}?<Zh;TVM!sY#Uy|;pth=EG2JoF)8oRw$;Z^
z2@KBO>gPYURfBdqD)(&ww<w#{!-ei*9|L|tTN+Dq_A2C+8EyVpL=P~68X98i9I@an
zi+F_|X(2ryT7*QZ#FF+001|n{eoioreo@U0E{Wlm8sYNk_ui(eLF-HnmocsmD$v;c
zCc3N6!2!v9_l%ra3RD_p4p(ts)T-@LJ>kuM5IlRti<Gxk%T!CB_#cz3ZFb|q(kvf_
z_#F-XWe}w_j&$Q)x-}^miHue)gVla=vFa1@>!P&d6qef(v+xha-xh+)E@>OJyQ}S#
z>|GFtkyM5wP3mYE;I-n41P^M*OC*h2%C$^pY)T8XFEZQHcq0_N&=NZd!1>@bLv=XE
zblrFRcrvWr33l8Kbokhf5T8+|Jgf2K+nqzy>nI4$K=^%K$G~WEybvGS=ay-fb!B6T
z;&kw>n?1p5zwEgO1kR1*4?WphGwmdYUl>ewb%vz0;Jk|cjFXbqlI6!OHg^q)kCpYF
zs(w4WC_Lyy8<kX#ZSb;|lB>01FcOqIWSe}N94gH%$ZenNZ8wFb5K=Vtps<!!x|)UK
zi6EY1Q)&v5UA;wCmwb>YP$3(?-MG63Tz|~$>IlClgF)bu)y`Ro23Iur0SqFMN==0(
z5Gu3nK(~3}edNTq+K~poJYKWJjOW5f7n(gLYLX(p%xD-?1*}dL*^&^Sc0UuYrZ6z<
zY|*rBbZ(Qb=`}hN-dXsqT^yspJKL$3jO8$bDjgWyaH~VB#3fjOjssEh!TlLVUnC?n
zU$HtHz9XFdeZTn;$<3_5aQUWKMjf0x(9;}C*L&&hgHFKS<CqZAs(-S|eLk3sVk3on
z2DXUSIIceef5!b_1B-=al)uXB8&_EI-jI5!9+X`@mmr0(<)7G^8&MFM!Pq%D(0pTw
zbz}E{p<-(nhL^5WSJi#;wXhP;?*El^O%`%ao8bZjB~p=*_RlA~b9Smm1v;H(IJBeQ
zFLN+o@HgQas^x?Br2|)!eIDfr4>}mSpkVup9;zg>imHCWH6?D){zfSN^<r{BPsC=<
z+WwzBw%R8|<b7m=M(=I<^}la(88h)iBBXHklf2m&E8sSQuZ5u^e3ntgRpj+Z7CcD6
zM&8lNV$oCx^9&1&Cr+=;4+*PKX)`u&LB(|?LjIluF1O+X{x06k3AZK^FUg8m6Ai>2
zl4rvO`|O{}<8(g4V@Uqp1fv2&Prz8k&n{o!d$Vy3<c@zT2k0V{_yfq4W*ZidAnw(~
zT$CTp;$1Kh4I^LcLfru9$ynH_Dh|^{6_>~p$QPtg$dBa9ktxqt_z<-;);MO;yG%hj
zse3&*ubyw98@H3FeY6uD2VnzI8DkWDY4nn>$e6DanAtvLM&HKwwX}8POyO>h?~*lM
z-(1RH(`TI$x(N3k-;xXGG#Bs5CTAouqU8vMc2naeLe4+(tX<zo#?7I0T`pck>C*J8
z3c;nX$ej7LA8q>JyH~7aS?W+RcZ)zMK2v4gN4WI2X9Vv;TQCO$>PG23<|5Ovfsb8&
zs+Pnk`#+u<B%0oLT=pC@+){`}WJ+0OC$<M+Glj2TI3)(Ns7!pXiblg%N7qf^_50L~
zt2JY2&}xrh-nZvzn~B}^I6#P5aJJdNfB8aDeodit4x?0@xQjBJI3IU~c<Sf(p}x4q
zj1ZAex2Z(9Fgxn1%t}Yv%6_e+0y(hEo{(Qo(=^Bp*;~{fOdEte9~y7&!j<aJ^01}?
zeft>6SM|nUds4P=<be04tG7GQi1Qf6T=Kw*c?_tnbXYV=Jdi|mj{yvaHcN*0VvA6n
zCakx_oWSUu&H{s^S|K5{*b@E2aQS}CI?L~F@G1vr-WoGwAm!0OU@BXd+-nTpUaVa6
zhYy%FnTuZMTyQ~lc1z1+hcM<l{MFm)BMYK%+XtJ1zoWB6ll?>g<xGiOyP3!#oKuwn
z3mdS}5i|0PnyowcG%UVmCS2ty@2dsTs{n%&>ZKy5r4c2cX8!(E#;k^^18w^$khGmN
zKX_Q#mlqHd$pMR82aKbc;+>#)h%|MV%Y5_w9mVO6ERWz`gA_=w$^o{Anl-2OR94RU
zD29hm3I&t<HWX766{PnQeFs61&{KoM<J5PuZoNJ+e`>*jbefJW8||h9Fb`N)pS>ij
zv9P=~8^;qPq4+_-y>r=E_v8B1N3-wq8r!a0;{r)ItYOn#;zCHR7Awj1Q+5U1j0Pao
zwf_b`QdM`GOi_O5nyCz8S@uzS&w4Q91l_3ntx8qifDE3L3X*O}?9`xRR3w!QTadi{
zd1b-|Ulncv9nv(RaVFd-UC-(pvQ<N{3#k#|?F*)0nJo}$kFRNP*4Z)$;XW1Qwr3hF
z+Ud=#P|w!OGupN=CP`d=c=@r9{C%m}ykayzxqVjOLCs#l%nG~cjrOAQdaEGM2FNX$
z7@Dj@KUU-wI;*#kk>F?BZE?)_iHmVAC;IzZ1GO%qPT(MU<=iP@)*uDyhw1g5c;75H
zvym)g`<BqA5_PY<P1~{zIrElt4%fd))*Dn<`2s&9^o_5LebHK4p>CI3n!OE9LlREn
zpu{*Mhrz>!P7WR{OTtV<fAMN?5~=(pTx!b*X^?f5?q{+JYl>E!3zS7P0OZZv7u;o1
zncdgljAeiR*Q<3GdhbYBVq@**^T)x!k>O%+wkDyedpSgYwAZhs-uWD3^s{0)(=!MZ
zivNc5Iu}DQ;Qq8NWZSCmE^lGL04TH;!qr;(aHe+s{elDX?r2tNtGxHnQsYDA#1;kS
zRUu{_!xuK;nsGP-!Ey7%8YSnoPcoT-|6>Zv&)(XewXX-i4h}0D?k%L8srg@54vQ2W
z>`=O2%TS>z+n1+&G=__riV*MEFNE{bozKN~`HLoSHq|7GMs$=>QJ*g|JI$fCMJd&H
zjvXF~kNtD5e1CqwvZCdb1nt)7y+NcZhQXsZm2Mu}8aI2N_q;7g2$EycUSII^6g8(p
zdXH$zs4m7X94sND^tjs|wV6V;h*)LD$tt&GmwvGi6JECb&?_;h<hh_Ha(0!Rbz71~
z;?}7YzpyOW<#33SDoCEDx!G;mFjCgeN+!(Tvdz=7KjE1NE#b&%?d1>>`Xf<B;C2kr
z5fE*~tqMZUawJR=68LBvv<z61{LujGf|oUsmF^WW-cq6Nqb$xzaLb1*1a`Qn<)15>
zjxAQVLfhQ*buTVytR0a;zRQ^S7IzorFzDS(l{+^F0Md@bsJN_r$z*1*Q9&wglYf!~
zmUdD`vSPIM&(6J%_=@@;6EmV7@i$SMcfVssrR~!<Ql9J>&$qV~`mRWW9~z}OTkF6Y
z#m=VfXn^krzwr)t9Dwwm<ysL`RFkq~9aP<*>i2iiy%BHuHsZ^V;jarogkC`0D#ufD
zha^bqR<%lmEKpl7Je+0yh&xnxZc(`EQpHSvvI?Uc$x(YeDW%IGV12{v?~T5L(aX}b
zU1q(4&igtX*F#w3>c9N-l;J&~{@?&CH9_TK%~_fvWV3FZcP<{D{C-I>dnIkM(Rh3!
z`QjqAxXb5vo?90Os)D;o069W?R`OQIVd%A#a2qX89rOipB^bI6GNDoz{&PTfAo5pP
z8?^RXdnV$m3<35vD}reIgCKBj!2+w)4Tp}>`I>O<$u^=S$*^IQljE)^DY~FBy5_cn
z<|mX0BEC=Gi9?qh-w%#=Z33EqvZ)E|)6AT49CYYe@Q}SIh-UgvRF>Ja_Qfk|yk<9|
zwvleE&}cHT0kY&q^?a}&0XQ3h5Pn#7eX|J%H!5Fz{DRO|25qf&tTT7$ad<S|aBC-H
z+k<Vr^MLXs{aRv{g^l{yP{n0=5H+iP^qp5)z%M&ubb0pY3X)-L+Gca`xgr-;zz3Dh
zq>nZRH(w!CLK_3@>?>>TCM}E&>5x|S5^l5`ynJ&=*+0_&re5V5xa1ry6!ly+o$b(V
z!#s{AkNgq?Udqy$HqHaI&@oo$6D8pO;uA%%9<ZURC)#`U_IW~Vf&#}sm<1T)DUwBJ
zf-~{8Ap95~@RQK`{WZFwrGJ5b_=Ugopm-XxnmVXZn%#U8_ZPy$x)-m=CwmzoEbG;?
z;j0jaWeaSqosOG~6xedCo+b?VcelNEmr3R{P1rx{YdgOUF9D%Pp1*x|SNKPKbCI8M
zVD-Odao2CG;J}JY6v4G6JNu){_Qf?WKppUGEmh9_zJ0HzXEjAw5_dlctnWC32Aco>
zJ{8Byg-&Vm1u{q}H1-qM8e2~!$svNR>5uU!=+_RxqoMldc8vTxX76VX^_F09CpVV-
zu{<8DfS=B_!N3`7qMn2FE5&*a+mzC|H{o4ck;+rG4-B!ab!i93zaUwWHkw}GAH7<S
zem6%*3B4`dJcJ$SSdd#QDY*nqVgJNM?yF@)_zzYlcQu~NUwEs977MbEPn&t)=#bEG
z<td^%*HGmKJo?RS|HzHO7~U@1Rj~1cU<KrA$@#XgCcj)74k3{){@<2#!K78r2@%I)
zh}?NUgU2R8K$GlP`c3m<eDumK`{nE~accXA)8>#XW?!e*Q1>~E9l>=gHZ;7mqG*;4
z#csL^f3q^>>t3Tq26H_5FqAWy-5z;0#4vHMmAF}U(Y4fu!f|Eoyn}0Tkfz-N?~vhd
zlnb@NqdivCR6ROaRm$tglX$N4I&5wKL-#U{9W3Trx1^E44hE?)>_xDp!efK?7Q)ed
z%QjRoxiR%pBh9pnBHz?qzXQxvyQA^Z)WP{WNJl-q_j=utW`%HgpB%dZ6UWSICfjYY
z)w1){rONG>RbDMkEUrS3U(gQ68HI2i<ZIb;V+Cv1q!|hwjPu;$q2FwH<AH~3A87Jp
z1DWO6E&ayK?^iclfN|#G@JBU195L!>D!t9G150kDi&NHJYr^ye!{U@M+oiSJ%qD9x
z+{M)YF(rJFwAKjM5{h;1^y^s}c__65qJC8NRB8VWN~jjU^Q7u|!^cgL&8t1f5`j$y
z5H)k?4jz(r0L(gK^R_fjdNN9=lONZn;5e$P9BK3Vlp|4WNo`pMQz5OZK`LDt4>B)S
z-FDo~uDQWoC)u+M=z#WmvIBtGzpO(#^W~h)g?In7Hq;kW*XH|%G$LKXdHP-adEm=Y
zC6`Z?^%&F^!n0j<|Ajy@p9kSp&-*+aV{m+If5aV#qk4wZ(dm$4bhM{)(=>zn;bR~Z
zA+OS;WK_`egt(IDIzUjtUV2u&h3#)%f9*Qb1x8zE;3n>&wUeP7hGChN(W<H>pw;NX
zDib|3HZ=~1((@KRMRxs&Y4&C{EgQMsDZ5iywhau{e~SEJ9B#!Z(b8i@M7{@!KD_Yf
z6ZOj4m2vY!8_}0ntC<?=$D5#33n|n-IhMjl9f0CJ0+Q!={-awJ@T|A*`Dhl*#+FBf
z`uXmqrd^7hkJ!fg1$_s7)@bbsh`s4Y`I02_kpGkfqA@v*S2o>Cw)wyzou>PDPD(jG
z>9swkRL3pH>ln1W*ezm(dC<QY*ZXUaev&eqKBNfmKT&D-H@HV`dVNWj+IFMJ<TZr2
zevDKw8LE`8V-s`2G&IP_DIhSzFtxz??Z;(lq8;n_)lA|=n&Wz*6sDSGcgD3BAUFMZ
zs@<jVz&Vb?-lN0d1U)Pq?+#H5x>B}vlqs;6aQ`p3f^gS@fe~_?I8VOnsxND(4XdP=
zU)FF@mCwq9s7L3J!?0WzA$&B0%RL2;{|l8=nHJGn@b&{%#;0pri9UquqFQkY(cLdE
z8j{ptw^{3stbQPMF%T5uipk3R#MW9~+zNW=(MK|ZQbyE&*HbAfvufo>NS>0ET`p)s
z@bPEm!cq6l&)P@Fxr<ER(Vd`k@z;&J+3iVwuvnrJ7yy41=b`lDqg_ogC|PgmK8x>T
zCVYk?|J$Dp`L?i7kyU}6hAL!HZDsMLIzk5DcCnTE=8Fo@ElT<WCyc6az!SvG@*NN;
zxaLk1YCC!}25deybg=PW+Gf5Z?<wP_|8~dKI6RuvH1-^luFdMUfC~J`w2YMA-d(-2
z^r>6M|7<MYym&aKeu?}f{YyArveH@h;`WmQIor=!nr0UA_9PkaxA0`K{YzDzYs#WL
zkN+|0P=)H1^hIWf{~;$L23+6~Dmzi9N?B$;=gYNp#NH^@Bc78{=dqnzaXu5@88|q}
zNOU18kba$d>*sf_xC{K3tcHaIN-*!AMb~b<Dqx_u_n}{@YtnDS@>G(}lvtD9ppQXR
z$5U{fz}LM5<2JN@b%e<v=euL`hq?XTdhmbS7S9~6Fj@=gmM!Qyqr>3*A5)KTWJgH{
z{e<hFL};#yO>G%H*_p>=vUe1NXO%d`m(&GI;ukDzF5z|$8reZ1H@y8Z$vZoRAZyHA
z(Zgk2uRK8K?R19wgTy$uUE9DV8LJ50&&fB#YAYOBU|a=t`;WGTSM@8B_vB~`s)E_Q
zifNUDoo1}A!lH#g9d~g%x>`plsr)evT0hdse+`E##XpoP^xdTopDXsUZubI4a<MQ*
zya`yj>56f1{cB+MDhG34-b0!{pE%+OIJ~CV*W7Y?88G}++-TNwO0$rESwnY=>&ul%
zY@&krVV>i@)Gu?YCIjSB^S)lGaWJ*hiljz2G$Bi~vnZm^EcZx!|5<siE_=vpV69Tz
z8x-8%Ivv}dt1l6r04vuYR)5-q6j&~ezDrnkGHvo_M4&0Z8EQ-)u{eBr@)5HhDj~+D
z%qeag?yAVIZjdm`+VttBLCJ|OoP4BOQDu{VZArDkz_}Na5vkIYL0gnn?f~-K`^Wd6
zp|b6%QX3=D^2lBI(JzzTYXqm{^;GBA-I-fGg9UXC8n^-oJr)nvGhafzbE*`I^0bi$
z#NM2}rP<_#UM|=@Htkdg4t7lgLrq#q%Ez#SzVsg#wn}lYb~0vxfi4rpbi}@!x_`t;
zBw{;m=Jq3s@Lj%4EEyZq@@BQ|c0ra?>Q2qIK)0twnL^tUnXSuuPpvw==nFwyl1d1@
zA-3(B>Ag>uK#|y&jWpr>`l4j9KZ#$b+>%wMMLRr)K+uIfdQ`)LO8Ww`-H?L5%lDm}
zm3JQ*d{}WT4*3B-NL`K!6lAaT<ECZ{_r+Wco77dFTJ7$!ba;8`=qKG0!SM;H@|Rdh
z1#o~3avCr9h<#M$4lD%5nt-)o`%4Pe#?YtVK>AA;RaV0duix@pIM+Ax(>CeWod}%7
zxzgT#BGguky5brTg83)4gmJk@AOGfTQ2A|u>+|j`+Wa7%ow1w@LIB#h2Zc!=Fp&!g
z_IG4T_Mybzmn0tQfXg@Vsa<yal2E`DS9ye-+s~?7oc;22yeltA<U-!u!xe?-t5o=)
z0qzmvLZcG6Kk<kfiuG5^uaH)YUXC*U{4o9j;8b?KMBOcM->K#2FJqk|cU(-0kc_G#
zt$H`R!Yyz9^Xvon?coA}`ZE1$oeDZYT59b%kDg7;1^&1bEUI0nfbG|;UkDi|`;#zF
zR9B~_mnBcx7GY|CV0a0kSjB^`z3P&)#EM$IAW+8ALP(y3KNHkT>N-@k8}U1Xk?Zip
zNJyU@9=VTCQZAPnlxe@Ytv~i33W=8<aQibZb`sX<-gvcoOF^)@YpXwn7JMJIE!^)$
z<Lh<^>vX(Yy}4Mmh4{qXESdcFyYes^@ys~vNYcR^mzel6g0F;!UrO{*1S@D$vAjo=
zZ~neHhn}6mv(Ogv)+x_Lo~ki{=i5&bl${){25_S2SgVSQa|mH2ylv>@k-ONkL2<I4
zFi;})XZ4BfUeY5fuU`gBoSlLL##TwgA?Q+LoBD$Dr@N<k)6Ry=d}Rn@<??cAr$W$7
z-ZmkuB=XWpw+l78_LDkk&H>Eimb=iSCMTl`h=Dur78A0D_CxB=lu24IIc^S!^3#H|
zltk@%g3jf#hm|`wU*n__H5RW<v1@r=Ik4QRD0Dz#7}|^s)`wK$!wtNhyx+9E<<A_N
zqV941-I-<gMXZ~>>vx73s5#E=W1UmV68ZPDb;6Zg+e%-rHCxflpFCN(+2`&Eo%sLw
zu~LScTYqwcA_o6TazzMq&KnH4)&#d!C#IsM9Mrevi(I46o}y#i`^9lNYeu+14xb=Z
z7CW@82po<g^YHe$HLHJ9gC^X!A{PTjdaoPhxmsPq6BtqM@_Fh`%g!^nkEHU|pxQql
zkvKNWZ@B?H`!z`X*=2#&thy-wa!RVWG8U9@e?sGx(7-4h#E#fHNNJP1|3{?TA}{=n
z>Df4G&anPZw;%_RMwJb0G}#RlTJNK7oe2Jno1M7N=Y!07s-_cDt6BDSEV8i5W>!rh
z3LdIbSsa`^jHnoqq7>|p%b>sL6nbCujc4(SDsVA^t#%m{EGJguIcDy!a>)G~VTW!2
z|HpLR)5V$xCiXM%adK=qg)}H?x~A0D@e9D38qG=xwTG1I+DJhocU_hEmY;tBi7ipX
zi!Ip|X-%5KtwNOZHH>+KH{h-aF_Lty9A-jlD>PDJSXhM|#;RsM@QkV2$S*WS*xmpc
zs2seWe!GKw_n~r=eGgyDP6m8eI+;vpAU?f@U8N}-lwXC{<u4lnW5%^AX&2xit*~VO
zgeRlZvmGdj?o3(9B9o!L63dr+O)v1T&|_^%)H8jbgMPmF?lw^Fsj$`Nz1F(?L`TH8
zk?u5eN|NhBbfT<kgC1CFO-vwO(*M>6#h#Uvp+&V1ei9y=>KYEpl&d{aq1zcIunpW^
z<HPK#TR%MoesTrm>0P{$ckk(?vNBij5?Kv<o((rHdjhb!E2r^8yFtF&7}mb>u>+c=
z7+s28eOXyX{fg@ek7Rb~ZRRh0Z>kVwqY;-^`aaiC)fb|7z)}Poaqu`tAGLOx0s6Ny
z&4vVd)jq9#P#6w~qPuT|AG@oMDM*Z?$KEiMnr+Q@3H(zARX;c<6_%$iz25z^vqfIA
zJQ3ppq3)kJ%BaeyZ>sEIRi4LRluDb4z`m>9W*^Pz*{>r7kK|&3)0IMyn5*FYk_IjZ
zZHTb$j3|;v+=d5?He`F`XM1(t?h&}l;$@*H{(5ooJI?VX^Y$>^!UhAW1)V#Ww-c75
z;YshBY%k)~H~BAz=%Gr_at%DI|7J&^78sUn#$}tiJp=ZLMp{E0xIjI`Of5T05BK1w
z^MJzLGQkH>?5S(NWR07k^fqY5z{GuQX+*R21ZydFhr7-%D~Feh-9TSdRTamy0he<Y
z7l6x%8bvkm)4Nlq8}<FygZVd0e$nyTjpFxgYQ(c--XPC9D(A=&(Us=kO3y~$)ad0t
zy_AGor48nbSfv0SZWa!=WW8)YUv`(lx)Rc&K9ltW7y6y|yQh-(X$eX^(-IP!=RwA%
znHN7OJ~lh_excX(lOzQTo-UdHtj>_JO6=0F$Htz()|QN~O(HJu=7Gj-Hy3x*{zZjC
zko6H)tI~;aXE<NPwPgj7qv^?#X&t-JCHR_G$~4L773y07Mo=LL^tGplkDIfVT#Q)4
zWo3uoyYA>N!*42ZPr-d;|8I_=Zf&Zileq}A+4OU;a6*1pFydqdwgm7hVOb*raWNe*
z8*&vT8-b{1&8at&{&O0DEdU2Ru7%NU_Z`zN&SLWr(!~BUD_y;In_udlc&>}c{DWVU
zv5(!2%+GXoUac;SN)o@6E0NFC&bipI=uG|&!G3-zdt|yToz=x0m#12v7~raFXLwOt
zLBduqIx^+xhdbhX1wh9X?yq|Hoy9fcO_NBZ+R%M>0KdZRYC9xg0{nR<XPJNKDj+KJ
zT9b9)ULo?uM26eH9GqJ8v(<`(@eH@0El<Kh8^R;4SRQbJ)6B{!=sPLOT;AjlD+t2F
zd}VD5_G$F}9&GZm$YZLo+ez6N;FevC>9s0@+_fcikcG>C4=#yhRav2}iKt}O(mak>
zoFB;c4=-BzNtw+g0Xcug{jC>SA1jeSP_a{zU(mnr2&bzp^i!`lW4I;CDcsj<1R#UK
z*SF{G1&s2@&WFbrR*`<+E1(sBVzYSeQ(=J(K@AscsD4`Pvi|2;x}CL4dG8%KnI+yH
z2U&l+FjUvi3^-NlukMd&wpx1cH{x0>CFdCx;+s5wE&6`)O><aj5aP})vI*j&xuq?A
zBlF^W&S+!ccJ;FokMj&nr8iIRV`@*p2YAxYosw_SmDEO_(*_OY8s>U6fkyV#PW;Ul
z#G&r_x2Ai8M_1S1<_m4{)igoB;G-Hf%Wkcobj_$^eTn3jrcmf?xr&Kx5%k3$fyy`U
z>;Rr!GnC-(FnYLa<}0HDN?_Cdi<Swb1KZ8tcjvlYzbc57{!v^Z2i|uweK{>O6RR9|
zle4)tB6TM-7^d`2O>d{VF#2lsMdu0?78dm{+=FE8C|5&rdLG?G<eNmVl51#Fk@fJl
zoJ2}VTjl?lcxQY1y3G3I^ci|?t8mHId({tg?eT6zuriyc@j;|JCxPk6yqp}a)n3Zb
zCTDB+LBB>NjER|NNl_=PMl5h17G+9K&?b;M)k<B`Uwr}I@LCFrZS$i7s3KOOHwtDf
zO>n%I@Xk376&t~|4j}rn=mnL{LLMw1^!(PJoo^DuWFTdob3E+cuLC!55Yx{w2b~1%
z<!tuK;X)TxF|a-tyRxf-fne$ukaFtx#ZaW#bM2QypPAZJt~%@p9MmU$+l|OIxB&2l
zH6$x=d;};}hHmmHd8+~<Pz6c`(MsjdE=*_m@6~hzRb3$G@HSc#!VD8m4ks@Y(<xmx
zKV%TGv%jYA@HLh1J`|aYlWQq?jLM>G{dYjy;1`HJ?$#wMpQwd(M*J?ja7s!2=TrDQ
zNu$&xsSfS@6$6IJa4yDdQfDPc_&X=d9wH8B7A&EwT&EGNj?+Ajeb?Rq-w{So*7{-B
z1Ri594|aNDS)FPf)TQym7ev>EdpD&J#;De@a@zZ1*0m6VhNJtUhpYn;BKH+&lEmOV
z@>4DfJ@|h<S0WzGH$}iAuo0Sa&c_=)ig9i^ky~FwdiH(Gg6pDB6l?!cnJF#7CFv}>
z?(+9{D+Kf8J<9z%9`wy@i>xvn79OcRF|7O?$yhOcnj&IP6_GCiOly@7U5bymHM^}+
zi@?_{kK$<E9bI>!afHF|^>_9P<8r`5p^#y^PHQMI^<tS|{SfEC%{Q^_alJXj8}_w=
zOFJdkD)fB1o!&2KA3A@IUS*{(alKJ<#YYK;*{)!`!%FcnbwP##g;ZH3=kiP<SFr^k
zB>TPTBIY112K$fd!^MK=>qdP@s$~9Njgj_vgtH`{_edm6#$}URtLn6toFSL*yP~uy
z$1@SW)E}UoMvs(+T|!3@$7;;OvU4Lj*7;BB#h{q1tF<B#3@-q-CL5_R?#*UY0+yV+
zPAN32A$C>5ltu#Jk(y-Uh*O}_j91Mo9d!74mH)8p3YJdBfEc&yW8Sh#5~&K;|7~OF
z4u)|oy`*3&R6=GEn%PzVuTn5Q$h<W70AMftHk_UxESmToYW&NrS-A)&#lJ@&jAvse
zGE?tfn}h{b4P^@bu^sTsaw)-vr|)ld1``>vJk||j23EEIao$iNRCe9ByKan~h!>gX
zEAiLRIJEWs@F31Jq(bE|p!G^(>8;(j5Ule*TmTC>H`08M7!}hL$JXS=mL+AARnWUC
zk^4g`?+yxo4@^mungnjyLpNFIAC$U+)8w!Fgf`zly^QhBm>B6>QM4nuOnLg)p%@e+
zpvt>HxV~4nKUU0Tc+(x%lc325AGv*uq0nkI8cXK^J%;$97AqkT*23p!ST**HQH<Uf
z7~GZffF$%N2y-nNvm<1nw}o$7y4VU^lx)x`!{3yQt@8h*IYdB(H{v92c0)EUjF>tn
z2Elrs^td%p0?fB<t!0g2vw~eWe}O+%hCa!e83n%X?o4){AnJ6Qg@%pgXl4*NGkvM4
zM9J8X*!>B<UO##3Zh>FJ!a!~1GbWF`s50SsSUqk*$nP1phAUlY#eoYq{oI6Z0~Kbf
zBD23LmUwQvAigppXidq@<!tm!sfcM%r*7y8IoY8xINq?c*R}gCkpD4#)Af-zKMh)D
z`9-}H2Yw{Swcw2wm(oJ}Cq~yhhVmbqefGRrKnjlEd+|+qg6`t4cQD;>{wA69gGYA6
zHaxSl0v71UxS1Uii24n)rhDVw8Fc+C_#u2_S*Nk3P$Dc^WtyMEXu&uu+Yws$Ho`W<
z?)rU`@c|QVeMGG`=Lc0bi(&?(Aw(&}N~7={qp$TG_f~X480ITzfwVc7#0>wJI~jg!
z>Rwrl7Uo&QV+RY(h>ZyUmlisqRh1Dp7i6vw#Wtlpfmn9H4X8zJ3-bL!SSA}H-fo=2
z*b;9#JU-RTyzwyOPlSIQLvLFFIaQVQ^l=cT%&>%!XdyL&;H5R8X{_zPpc&L3&mnc6
zXD@n=XLvvo2Yq4B!RU<P>P@eo%z^dX>0|l-913=l{MKZ@2x)hTnfC5wMwm4TbU1<m
zae1Z?1O1!HB>P$RIEi_hVsSM1$*l!TenNlI!Eg)Ap8o%&Lc(EYNDrRE`yZ)8$JSTO
z3w^!Zs|le-6RdZ;fY&jIO{rz*zQgv&n$JBwNOwZCq|g@67w9Hc8-vh34t*yxZpp~n
zuvEcYODE4irHMm7vdz&1_)?k{gDVmB357PR!)gaf(vk*U#Fs<SB=eQz{rE-AmzAI6
z-1vygPrjXl6o8d=>>_gWkZ)X8E$=*D9e?!S#j2nipoj%-H0l)OYNM_mHF&5l)pR!e
zooMmmjyF$g4~OhO{M8H8YtvPZ7Vi>UXT~HrA+yRpD%}*iaedNV*bsn!ZGR!<$fW8r
z95{F6gu+ofP3sdc?I8TG6|fmGd`(!>AOF>ut!@^3g6c%eP-8N}jzQx_vCn`bj^{7|
zf;Z2>We%=PnV?9_-olqX0iLeuSX`vpUdIerA-E#AhN{hwJVqXPSiOe*Hx^Oq?c=1x
zCEfm>Je=gvsyQna^MFyHz?DVzRvUwD%fU7JFB5y6uQw6%XYR2s@U3U>CAfbQA1LpR
zD!Ki}s=NhbmdBoYd%^YK`MD7b?-+1T@_N^sQ(f{S9+U75;Ksq}#mUV`jE9#kjM<cK
zbM*=JlS0RhUzY`*z9B5v8#a8MxK=cS#yT1v6aSK%Vw&#727ECW(V(xET#JMnC^J>~
z-}ns|v#2oFH6eK7qoVi^E4K5}{Jzz)H9YX5T8!>i8-iGHso)D?y`~J@lK<I@YICdZ
z!IEa-0nta~mzBeaZes>}$bdgAOV=EwrQAurp{{jEV&<gZEO!4ECx3Wdeo0{@`*kxG
z_HVQXRwwBGsoz@Nqni7g1@`W5vng_RO(Rad7G?T?Yn6pyg3Ext)s%OwHy??FM%vHj
zZ)MhRf5tayfnuLQ==aC;&6<K8G+gnf^3`3+TZ}2eH|jgHOT+`-#YlJE>1dToxe=|s
z8jC!12##k24wlev8;-8n-t8^hYTKHsosMCf8;td8L3SCu7y77!EV~oK)q>FS^FIPN
zkDzFQ%|md8g|k0lsQg`8GV>*Eb~g~!CTZFA2(5k3$)7UNU%rb}4M}he&eHqgvK-EG
z4X<(XqUJ8+lBi!czVC-j-v17S&PQRLT7mmd-T?D{K_a(1AUZ%Gb0L?aRXjs>)wM9o
zY_ik9ZgFw`J(ml9v$}Pt=CpV%%V#9^#~LNs8N-T)vSeuB2XB>fRWV<wnl3hb+_qti
z>9&1IG9}FzZo4eYJkt4hySLDF1RJ6IdZ$&vTisQ)h`~nx%j!s4if7?5LTRMm%Szwh
z<|2f6UoeSKSQ#b9D`+2CT<&3U$e3M5_8pc{KbY6MOf>2lbQE`hj&&R>8uy#L^6fys
zY>6n81{uSb0ELBbB{FclV0f%Kl}GYHOCyV*@r4n+^TLMMHcL~C6O|`fjnZ?8*a|_|
z!XEv#-E7&zN9S8n;}9mWie#g<fIMCF_q8mK21A_nUJdZ5)xIJ}C5yd4lQ=-Bf{ML>
ze^p8IN<nCM%C9U(Biieq-z-oUZW3s!onF}P^^g5Z{#`{enoT4;iKBhVMK(|iJUxBl
z<lqE57W_D<-$;jc??c(+iHgtjY%aaZ^3Wn&QZ34sUtaG1^^pQGl{L<QmU?(3sTqk)
zc+*7Lc+h&>P&+Y-`yF0}ci!~dNm>N-LBpY#o9P|P`D{c6{+n`S8edzS#tghcbCK_c
z5SaeQG&CLgSNrRSPe20d;#;G3mbJk8QtNgPRb}WC>;<3qml(wBv7V$J0&QZeIhG^j
z1ZLI&2Yzdv)n5HzVqj#Z{e$-rBBl=akr2M(s;qx-4jY_1%dFA_(Rx|O9;buDk{5y+
z0y;`+(A3rbM7Y{(#|7728f)jKuOZ$zLJ5ewaz?V<tK;=H8Q`S(Yr2W49J)?R@F++*
z53_tH2W+1|g3P_P@$!Cb9f+~<IrX(Li_hBrbMMUm4cfYstljmf7r@Yqx_nG3;|S@A
zvG9&f0DvX&d(WYu*e+wm@(B4TQ@L}Z8aV2#O6i={xN0EYbPze+>;uNNv&9|BoWxDl
z@~|WBRhTf9Fm#hW3LjvCwTm$)#wu0ah`_`44DoAJw+#65w}5D@1D1PaA*w`Mkrs(q
zoV_j{mNjSEaOJ*n-?>%O4k0ey1^1|X;DZ}jhCLqF^V}fE>OSRHWUb<X+0#YR53TVw
zLtrt(S_)RzxL2}M9rhlxopjxNt4AT~K3aSBM8y`~Sh@Ygbh(VWsC|k357N2$NRRr3
zB=v)%!02u(`#~1Y8IMblD$o#(P>we#Q3~ys+>^0ZGJeW_4xZ(3o}qH{pe%cD++yXL
zgp$74NK>gwgE1XOGr{UV47+Vo|Ht%3<W*`+>VGuX>yoehP&wt`-j)hZ8;S^By3D$Y
zGewg~^Qw+u=DEWywQCYz@iu4~?lE490|k9xo6@scT{>&nOAmYyj;ATM8&4ja8N;`v
zxBU%JV^iSC4r~ELTC!PsgxgycU%ffc5RzxSx@jI~gLoTA(1p|q&LSipg323<t4>pZ
zJH?RPVD;_VisyA7AW6E)`hyDEQPKG`N3s`o|A3>?b)VHH?J7UNyN};>f|epHS>z+i
z?O)qTe{wP=s^GONf+~QqKR}bAPkXYil11|7)#f&f=0P0RZ}lhL+G?Y`F#i^_nBD2F
zm{JYGIK{9|<wKc!dhuuhKlzJZlKuxdN7{=wGaR~Gk%(j1^EUsr7|^4vfFi4$!o4a+
zA_Z8e=$`}q>RI!c&&kd6jPrlxCywNYTN57TFI<}K&nU01HNSUnV-jUTf-q4Rx06le
zh=v(~Q4`sNQ}#Q;<}DdDTocpvy}N4?*|nrKUpt{<ZeMevz-K|}Rn0mJ%zj;G^~H19
zb6tP)x}Vy!CR`tFR^$K?1m`KPXoz+9u$;6-3GsZ?KR)6?kg=8+mmfAo9VLFM+R|ZA
zhxrf*P7$1#ySSZbO<_C6$^Xq+`$%~HpF}Ly5GGmwHDbK_e7zU=)PZQ5Q@trcN>5!C
zc&-vy1L%o>x1PgpCe4`Cj!8c-v&~Ld3$br{=vwi>Be>5h0>=;y(wc6?C%MH}b>#m`
z;qt`lpBme4cQ|0&Yt%&DYTTvP)sYwG-d!z9R+$m_g7q(|V<4nf#J!eM#Gy)qxD8*4
zmeRJ7VA)yi4|xwLbmiET2?g0nns}qfO`X`p;*!>1P+jskDfd>41tqRqMoWZy)Gv%1
z%C6jUp*~e0cwfz%+)WIH2r6NiHC<!zS6(tz$O_5U1mP|PKYbPhIv;#WjgZSqtp2-S
zCv4m+<7+Rek<<{d^r2p*MI#1W>NXILdhpL-{RV?>cJzvISgVIKj)4yK|By#f&z}-4
z_7?8t-GRLiu)|!F=xAL0z8X0FO7*g3_ia+bS@Q_{iTx-30y*Tz7uo#RZg2cvKsMUe
z3~)tWs%tAQjtt9s$e_A^6257(1j>4_S(nmbd4)4Cfm!55XWs<U&yXhA6f~`a`1XWn
zJ9r22Kc>~;7}-brC4c9253x_T*xr(>d^mr5>H}ZCew)fwRHkIuje11b*m?EOkl_e|
z`p3$Z`zQ3y0smR^iOerZuAVID6|+Olki`9xi6KQ%K0jVk=*HGPHQRFQ+LS+L`gaz%
zQVG`Pm+-$9gq4%mB0`q!gRY7(jBQkA0oqd>9c65_AKyM+U`O~d--f7%F5USbQ^2eo
zQ(7s_&%W6~F)xNd(=X5G<A#f?yfetocwev}IOSz9>IgPe$%Cxi@}P_<M9bMBl^>>_
z=BgYyY`T9+FWM8dR(G2n1V~)CZEk9H&3p%9WTd59LWxQ2`wQ2~)+~zjvt{?lQuLO$
z!Mj1J?Fp_BtZkmR4${CY48D~EAXYR=dmv<=Bnz)*rH-)Sfg(ceR_TqnQClI>fmZUo
zsjy@2mR+a!=-&Z`vy<Oby_^3>(Ru%~*)~vIsoJZA)~ZoOY_*lzt5zg2Ln&!(YS*Y4
zqcz$Rdyk0NsXZ&yh*G;&D7C3otElJA`w!%o+@JeC*LBYM9?M($L$(o?#}|nTlqyTb
zP@z4{=g>zDW?f&QacSJ|N?etZW!B3ggIhKJw1L`t1=Mq}KqhIp*=p27Cz0v&Uv2Ni
z;sRmQGd`^N04+6OKZm}~o4S158;oH8WQ8k{!w1uTRrS&`?<aR4QcJahU{(ts^GR}j
zAx?D?lrU_l5hlTncI0#<x4po3|Ezf8VRcR({{6w4AnSi5ruWYv)^0)AU~y5pS-@jI
zeW3?m<w5|0?`b&AqHTx&V8Wxim1-}5acn&ojd?~(nIcC>=WN(R-`k2$RPVR9dRIC2
zaKv0nFix8-+hifW@3^8&_JnKqLz8j%SXuT_$xM|=Rs3g#Y&-t=3s0)zGRFC8<?2r1
z?^p-#>5|okJyN$PBtOLJau27m@s^tB5_AM}xiMKucSuX6O+yia=@@={iiSX`lv)aS
zXn^Z&O)WRv&X6z%RR0OEsSsH(^sHMH$>+6d(UFWRpm{39joC*xzNX#1U38Tdy%w(}
zq{4<Uncj<G3n`@Edi*j*CGE_pd_e%*oWAIwSV#i#OS7ev4+Mn4QVDkwf$n6~CBm1&
z^=#8lV7Fk*{-SLg*Sj#2vLcnGo1h85aA&B=Q2m^XMWfmiymf0P^(QgVMi~E`%9SDk
zQpjw%pJ&ljK1}8}>rNgP_$R;;l>$ta?&5$HoWs_A3bQ7_CT+zB@aKC~D_=GiD+e!1
z7;`{1O@S6r49OBCD4JR`Lx>vSUdiqC3jX!5$|Vbj86SBbuljM^JC`@*-pTU}F?B@K
z77<Uwrn=lZ>;QVFh7&VoWcoPG-S$AHT(*TArmt<5is(Rni5ZxG5Wu`-IT@&@_D=Kx
zZewLO9PuC)Wzu36<m&UZ5rn>XZ%l<BJ`j`{2F4o{ipUY$bRjJ|%xBM!s~+5ltaw)u
zXISH|mG!Sgy?_5lLTy67d{}Q(#LA{=;$;0VMcZgfMYCCJ9%6H3(~fLpr{aR@sAl;(
z79V8~P~u7l<S0Jk?Z8$he(V*a(q)TZk}*HzK*<$<hhW;k?o3<63go47#jP?zM*P2a
zU{az+5Qo9X<}huYeSoB~Un>|FTbVZv*e61wPFk%cvE{`)3Ip(5gu8}Ro1chn40S|n
za!!HVF8jLY=aRx&=J$mn4BnOI#l!akJahQh<{a)n5bED4VL<!Yh$tzV7klG#_zesF
z6iky`9oPpZsLyo_K1dND;r5tmWn<=+xZro(S6h?!#-}mC_c}D2wO?=LnR<FN=dT=b
zV`5(vQCCw(ani1v#lR+8z7H*1r_Mo%Nh#nD_gYi{Y#1BaoL7%^cb=Lx_k64U=nAEn
z*Q}!+4tI9q+ld`iuLo|*XG>!0dnaBn^)vatiSi<Vo%ix9^1nhKe&M|{8IGWk0JX;v
zH9p`D0on-sYVH8~kEC}uC?eU}@(~N1YaQYd3_tg?sGARWeZ#-XyiEyN$plWRTs}H#
zJpL)5nEoFLmiU#JXpoit9=J?%m{v*6!(bN37&P8D*)}m`Sl!FvJbj<C2j@FXZ2$Tx
z#n69<=4j(Gcry!xEmWb@AqB>q+jBBq5-A1`8mWj;e39M&PK(FVW7!k}2`M!b?7!dL
zRy}~<$!CeAJ{P8*Mzryi%e*RHTYtS+okkl{X^UM^NT)Y0BhhJ*j9KFym%Vl0)eHM*
z2>60z3q?GgR{Isg7*$wkLj=q3B(zGUUt0+6B$gYn%V6GaJ*fdB+HR@+nXi-KQ5M?F
zd2T3_MzSA~U{<0=0-Cn@VR^jr3RVLXe*?qNGaXaSIlNkH*Gw_<SCh^T8^e76=IS^~
zNwB6zj1csxPV%y}B)w{wE22l&W**fSk-T$Eb@Zw5{xx-A#(DxGNN4Em7r~X^uk@*8
z2^Vyh$;Q=wdrhvST#;Y|kYp4M{ElF6FiyNerOrXlj`3lR+myHmt#<%*W`rquC(i3u
zIYLxOCZn71TKS?W**Q-o1Kc{pX+y--{4kR+nWw+RPnBR)x@;2*HL!1+o1;+pMc`~A
z-FjbVF;EsZc*My;Lv;y$pJ~&_wJzIq%(a;Pqe&x&1nENesTw_#o?rQC>VR$)X}1!T
zs|yGt@l4Rjlbi3icV?$f^UKp<hpPtDQSC$JZ>D}Eqo>gq!nK9FnG>03$@bIqu1!2b
zZYWa@rS+eZgN?7rF5mN?VPx)Wu1xM&^tki5DN$+6|GYg9v12i4jnh?RGX`V0(p+f#
zIkKHyk^~H1N=9$*>p<ntE%ErAA_b{GAQ~(yEA_J9C6beeXC~jYT7YKf(c?Ie9=jdy
zDT+2!1;CXGV+vZ2E<GJ@^i0@7w4;MyZ6?~QbmOKh$i0#Z-L}*n5fNTJ8Ud0*7geM5
zVfeP`j4=O5o*a1Nwdv<^C<+{>uO>lL@}bgjaHnJkbYp=fZ?Q6$j9QnKOp0B7j|tSN
z;QZ>KAt29Dq{8$@!810%82x*>q#O?6E^#{a7B}?r%1Zsz>SG|Ydz<d5+4AQ5I%Zed
zx!=`ol2^5CRlwx^(CL;}2jfA%3$UnzP}B!Myg0)9o|bzOPJO3oPQ^s~mST6SIVu>F
z1nx75k&oFt9PwpWdek`agM6f|wZ=G3?F?*I$}7tWmrBbMBuJN1K;jK6z_Q%pSGVWg
zgP7|;kj5%6^Ww!!9KG+LtMd`pe<a?TH@sumzs7759zLM4U7=fTgb;B)^sIvkmcBhZ
zz`RA%z!~*Ix%l3Xr+Xbrdky)B@FAto!7Jg{M0tmMdI-H2hErv{_?KJbB|$9b5Y>7t
zgS*mCX5zC<Rt}|IRae1tbJ;}UF0i^-i7+;6CFD;~>Cdgaw9c{ue@7T?;T$d&{#D;{
zrkg&%8_Ge<+Q@jC3Qo_d<Gd-!CaJ$PeX8!jWjI~c;C1}$w{pqeJMsQUf?vN2QPPZ}
zi##`vpaJkLl?#_(LzH56jQgBH6aIpFb9&Mc_hi$5UGv2Jn@#f8soi~J-n(TBLaulu
zG6KswQJ*AkBl=gmj&+z!W7%oruS3XRU$n}Jblz+&BRN&0&5kP_+6nn<{JPahB^bTc
znGUty57>aFbpm18W6>e5P|5N+rDo_Gb2Nu&$*csedyXmHc;Ik`J^#qIE}OcYV4-MR
zxSCu<fo;9plOmZnbGA8x;0`+-jZkj16rCulnq~hvqlS|_wMC3lEr8(XVpK7X&(qmE
z;TrP<0IS~l{c@UEA)>BmMSz^brT?Z>hG(kK&nOP4ku(LS@_wo`xnv$D`CMo16Kg-^
zv<?Jhp8RZ+&b4LjXHM{v(2goo*To<3O4k*s5MW>&dhQGCDM6|n8)tTZAE7HF+lw|{
zA=vbIX;=ty>3#QkKjJFOkClzF+AD7>Q?Z~O%C}FP=nNl5O_l34miY7hLhDq*#<`|X
zatH3fhoftI>XR$o75KsLss>c%Nch>QV>Yp)EV9o!l^FJ^(OlP`mW$N2`_NRs)7Yn*
zSa7K*zjDJzA9pn}-P3F#g0nJ*zl5g3wJDptYdDm_0<hA(GA?loS<Yhiq_2)1Zv{(*
zR<dH?1_2+}*xk#A_F_Dntp4Cz{AXke<Ybdz)MC4ZM(q=)p1=7i>n`;z)fGxWn`wMj
zSUQf%yr{AkvLU?yt+W}^a!l(|xzHuV;PC#m?o<x=rqJrIL$#vK$LpIE%DLU&8>r<E
z>_0eBglR@b<mwZgD&?on|65f^2bxs4=TDx|d5uGc+9KgaB6nKu)8VAE2|ts+)QCPL
zEtD5X6%PtdS0+3oNbqv=GzpVyF%7kvH#ElFe#S!-)aK48?<H<?-Xf(66zBc9TXg{-
zpT~t$CF`Zi$dz#74IY$|V0_qmJB`b(R37UVWF7l6({&PHS>D4;yg_ehNX;$$lC)3<
zr1#o~3C=0)i}ap7|05naTe8}^xevz3JfL4wW$uou_T}W5Uqyg)9E(E+M1pVo#*9_e
zM+?~^-k1``4OO=Xx<8eS2l~^n+Xd?02T^lR)0+Mse^|>jcU2^|wqILr;stjRC{u_=
zy7ZVRcc6xbv>pphCD!;Eub6~C+EvnrVOYA6fhKhKwYay+P2dhYWi?u4->@<M$D{2A
zdFgLWHT6w%HCnE*#G-DY_gH5M4b6WfXgLjpFa160v*g!E_ch@(O9rVq`F1QwrxS!{
zB++J?_Hci5PY{^Ln%h$7sa~TDzY7yAG#|gis##+v0HPqUsr=ohoR|BXdZ__U+6ZBI
ztV=ABB`JHB6~jn*XK9or=(_U6k8W4B=n`J}KQJHe53l-5)=%x0fGs2j-Y-WsuS7DR
znV43v(-pAz3hI5>AL@Nqy<!oBTfsDSCj!3>Xp2#_x%ejfBS2mE71xE+$Q8WiBth^#
zIR{A5O8O7#)j8J(RFh|5$8H?4l6i&s9mw=^<{VenyLdU}8t=ECGZH;+EuDC9+&RtA
zRvCzz0=d1!C0v^KeTTDrEg{IR_uSxrOvnq*v3C`QltX##bPSxt?=kUBgOXorG?s{@
z9Uu$}NtCDdDh1)$G3c#o&!IUZW3(#rm3AcZwz@X`apc*tYR<R2MYW7|W$ok$et*GY
z@)rVn=Fz@m0y3@jMt8uVHi<&whR;R6>``hOm)?cA)?qC`g9T$I|1Z^g({h#QakSQ)
zO5n`OWm6#YEL~hWxk#f9*~eD(JKD93>(s0}<`8mO&eq%H-?q8ZN$Hx2vEDG!yBPf|
z!H$!KQJK+pmxA<_X~vZ9q5e#;>5xcY;qNvPu1T{W?$Dn;NXiz69%@^iE%R4}`?YS(
zrhEO7oy;!sv>fPrri9Tl0=VT}4$u!}Ju+!YNlnuwi0z!9Xj|uL^@*VH|9jl^5Od7;
z-ewvib~5_(xkv^)()l=YLkKBKK`FIDopj#{xPA)*_ci3n2^cEsf&t{81tW$vxCrXQ
zwvl_;yU`cX>9q+hd+71N^~OQz!yofW>BvA<O{fxtw$TD}sPAm-%i)fSyA%kOB;C?j
zN63t%EK@B$XZ(+Z=^v>q@LqoW;HO;Op**2x0@UFjdUWWZqJGZm1UX?*WgsDKon$&o
z8L=nS2A8d<-p>p{_A2(WV!l=l8oKeQ?BrZqR!isndjj1MOHjX&=`?}klfK?lSCR*A
z3X$JU7>^rD(2CONZL%3u(uhRu%%DkH(teoVQ?FuVNus)pfQqhr1Lv!Kvm@G`HV&^!
zB^y;O#|F}TDc#Lk#sX~3z`xOS<;8J|K}!NZ{IvS(*~491M=ho6zJ`~f>4!#XgfSN4
zq+~Vqm$agPZDanbq5eMHtLA<+wJOaq=g2}J$TZh}s9%LUjzub?vcuDl(p)lVF%6fu
zH$~nSM=B#@n631_fI#g+nLf8_(ys)irAaHHOXZJ#go`MPI3E_5w6_S6H`vT!HfA1H
zy7p$H##*xl6w}n)=#Orq7A$%f)+0O443F5g2ZJD`A3uQtXF~Wm=U)87aJISZ*Qgda
z?Ff36ssAA;SM6siBsOre>{g%Yl(<^kOt!7jOK5B=g}WYA7SJ-3S3ngqd?vlhUZ?oJ
zT(cgqR6`mpgMh$zSdA58+-96sG=*o3$8RX25a3e|s%q`UW=x8PWDsOCY+T(I>dZLN
z(v@}RJ<uG-0{UA;3FABzTKvkQ?#d+rc(|GBZcP5mSxoxjCuJNr7lr&1voB=wrF~kj
zT6o_S6IGW8_u0Sc)1c?E38c$TwpdJ1!k0ciV**<P+O_kln3R`=zTOa)>1y__J_mXB
ztIqH+3y`1hTJZjELWsNj7oe_)&c5&sbM&wh;?6_Q)&Py@+dO1WSCvhsfKi3L`sTJk
zzsvO8nqakBJZ+$N7oEjY2vQF^=;gFyeqqEXK)jkt<O{$bTIrmpT*hG-(AGarshWDo
zutJ}(l69;WJopQY&alS^w_IyfLYn$)d2{in6u7h19~Se=Uqt6TCeV2Dcd01aHFe|q
zDcz~~{gFO<RLdKa1F8{Kl*5BXTt!Q#?8s$0+q>UU14dL(2B*y@`^DbowB>TrE!O-s
z2GRJX9vkiY{nGUSn=j^%r^@<p)yk1Kk=U0GnyNMucV}wjmu#cN+AQDC!=)N6^Imd|
zKY+I(L)xlNjjEOk_%2^%VS0D8xZ@RTc^Oy+%@hqf9^5T<GbsbFR2<jm;N<VQP~EU9
z0@!Ts+pKstPrWcro1NWx(vCY7RgtcS)v@#%QpMPOZWE$MtU&R;6a?>s2OYpu4$T2(
zlXNyV(L=gPcM-iP)*Y_4H-_aWu$Ew7JbSKl`as+1<7+{gsj`C@ksIC*z4%$9@?VqA
zFq@zy-emiGF+uYZZE1U1M*X)jYrZXh8XULa1_S``UqIRe{j+nU{5-JetY->uhz@>c
zd{gLYa=@J_++mArc-%^NUop(5mOHNa27N?--^{|ku51DAieJ!JU5VLJU=K8v#!ma%
zZ4iZRCVl{#C*7H5>xP{4Y1k`uPo79=d5%ZAK~9hJ1h~|#{??ZkZfxmhEa)BUOPbc7
ztEaJ>@A`Lj3HrM=RUm9@8OPIWoP--?^Bh8I{dQ_N5D@$*-gCoJC`;RDv64n4$KOMS
z3;F;KqpQ{mFO-t}KDgi^)vD3XpokAKK^O69v}FiCXBJay_(PvC9sNQzPi5-q#8<O|
z-=-%=8)^9HaWIh|ae{ncwpUEH6ktac8xe8G6@4-t2mvZpmZIsAMkB!<6i>e3Hv}m^
z8E}h?2GI2XB*sWQncK)8`)h|i*V*Ct>*)2k{V!)?WwsAnG#H><<DR^|zcqq1*ze8H
zeqmo?mZO;2{~yUA#@yFu10aUGy$<!4x8_w$79N4|?pVkB3#L9bNT0xz9!^_GP?@G#
zX+&=;wz}5$^q0Q0_&K{kM0RaJh31Y-Y}vms?k5cZHQMH&mNrDAydslQe>7rwcuvMU
zt@=o{@uGG|{94;&KEl3%E-FZPB)OtG+1`}GA1-(CeIHd6Ij3=Ere=wJh&#Lpq*=r~
zO<3i;JUFT2727=5)Za3P_L_J{?90rt@%>qThHMO@JcG4RgGBbQ^-bj?w^-W+*rO-d
z9s_<4VDn30LSmp*>m<RKN`D1>T@5~DA8iM0#a^1f)d`>Td2sx>t@i`|RBXywgrOXm
zq_a_UKV~K|buK97l#2?;cTWj<VSUHYlj&16xzU`tK>~qWcuj*evo55@SA?3Su$oyU
zA>^`A`QRpE+UQh^;c2&%)Jnt6+RoQ;XmzFv*!KDHX0h`MjXVDiEIE#Diu+|r&eMIf
zW4ot~HmvmjOyk%J|E~MAg-u(Z@>ZQ2`!7^DP>sc<$+DC8_Hl>+I~<<tG0%lx!bC1+
zeO<$`-ZD?j&VEjsVEWZBEfTCcy>nt~%P$Q1D7jb`AF)-VuXSqfH#&ZG*l2xiT&fu)
z4_8fL__)_${r610#J5f@;IB5B4I35J)MVaYuLl-dF0JP>{*->QjHm-M6@VRoEc|4T
z>>tvm)z%nZ#{GUyiK`p#rL}PmyYm)lo+}$BB8R_pAlabhn-_I+&9Ce@5CQ6J$=W{Y
z(U$)cU?=9g^7(VKmiL~x>J{Hi6USZ=A<!aldUU!W;zN#ptFskr8c^nLq?hm>RH@$A
z#A(-M6jWhuv)9GpOYm*=h1{-17>&XjO7^>DOZF0fguG+5O)isKbgV_o8CC1~jygPd
zM|hyteq6jfO;=zM#-=WsU}H@~-tJVk<eRAoMX9LFkSZ9PBSw(l>XMdB!c<OT{FA&a
zzC;xjrspSA`73gz0zp9;VZ7GfkfMOE25Uomr7cnmsL8isW6s9v1jZzOO@gO@Qr34k
zSI4mh7N1_sNpwD|PjG<=*sT2FBY;ws^ZAo<xs0;Awhwm^K3)miAU!o2vTypc!2Jcr
z@_!`2$Jm8oS||AmA+X2e=kJKe{Y7wO?SCZcN@Bmu$BW?4^q)6wcVGd%40|;$>t<)d
zE-|mBm|bM$<6aK<lp!=xZ1DpLK(6(3NdBgc55V*2Uc|kiE$pz~PEqaVgS|-f&tLnQ
z!$;Gyc^NXuA@u{#Ka>}KN!5~hgT>R^7E>kP3GAFwhXa1@Y*QlrHQ~Qq!<oQz9Jl`*
z9HW~{hYVMok0<S$sk&HI#>kg=E>kTZ2YYm-7yrzqF~)b(nIs%;#~NWOAGUmQ!bG?y
zQrW0$<>4wVoaej&N*a|NV)zV&>TjZ?O=g>$O~w0P71Iv&EnZP#D`JSeZy~vMJql;d
zbU>$n%jqProbgBsTXFG30oV{;!H{62tz_R^oB?tR!yR%yP2;5B?WKGEj7`Poz`j*j
zagz`nDtqK6vDhu<(?G|GkEU!Oa$)JD5adx`|MKdUlC@XeDy$k$Zd2By@u%=7cJo6&
zD)WtH<CE6R<6^suhe`H+*4#c`r%v_I8Wc{U0FJGZ<;W^wmUtWb+5TY+2C}L9FZFge
z@JVu$aH6MX3YO!sL41Rtk`t1a3Y^##)hr-Y%pI!!x$;IGIpRHXs<kro#I6W0u5oc7
z{Dcw8sA7A%RY#L5GWCl0(xB<*46#+#v*NM<ZpF713Ah(lAU?#q)zA4p&N-JD8F0F1
zO{R*+zil|XNN<yaW;NzP^ZW+Qda;L<w0(=1+1>0ZUYr4d2jarT;tr`4%+A+{GAj3m
zp0olQvwTBpBfh0QfewBv@>4rAY|9i-{N|`D2=6Dmnz{#aT?>`49<j6te%DsHnmNmd
z*Gv6@2OaC3`dLizK%cg%jG{%J7I|sgmg<SAujx}zeg2!QXn0OgogpMm>yEu~Os0Kw
z_hCyGv}-3s$k)TiH_BIMIP$v?)Ow>*xCvG^nqanCR847xXG;LBp*>SiVz_$cW)fit
z;fp+rRhN{6Y2V{ffZRoFZO5a9ZK}};NSX-KV1SXENd?HQ(_}c~eGiqFY2H_eb1Q*S
zHn>K2iL<hCAgf*c{(wB)SatB`8=ntDs=IV#7k>iGt6a$71-z&gUIhgrrmav(@KqWw
zLI00#YPc$C-3RtO5AO$)z#I|t{GDeV77A*&d|JYgpLuCCT4+((p~-=eM`#J3hIS$_
zY~46{iwGtrHXt?nEnW%j5;atwvS|JInQd-;+Dy-<tiGqY-1ssjkGrfs&E{w`4y>=W
zgHdq#b<Hld-)K&W0GMU|*T@)<Zka~)Inx#W_Vgq6FBtuG7w}EA_Q<IyoL=KgNDKqB
zMBr~%(hTak2d(NZnOgwqvteM`e8U&lIg?Zx7n)qn&U7x`x4i`F#Efz_pRRIkiXpKc
zjZ~o8+qLouMem(1na(`M)m}BXc8Ru++dF`sC60I3!_y55&URaj4<+;wSciNx)g>F#
z1g!AYUJV}vRAv?ym0ca8+hQdU<S}>Ory;ca{ufMK{HP@9MPhf{8=?!+-V#VUK&9TO
zT>V!W4HZ7b&B&M#f;`z6uk=i0b3ET@R1fO6+AbGg<SOU>NAj}9j<sy_3VakLClb*j
zsM<cvT?^nexN|N7Un_9B^s9gXBJxuEa@2dwqv)&8)sy^d6zzmV(=0bhC-Uqv*Hu!l
zpM^g67ZW>Db|b@-nVgF=6%`ooMmyXUpOf)xrlcF=n&}6m;@A7?`{5vzlq*Yh8|#fr
zNQ9l(*yxUMi}GIH?{feB(iO)+JBr89auhQ3m^HN9OO-TzTJ*+3_JxLcg_+~F&Uf%f
z1}oPSgD3TKLC7KRy>j6hnHpP;V<`mTl?T7R5-iAE*V*pzwp^-8nr!aBY4gqu+15`8
z5w(~25{|$Aw{h!V_L{-dhJyc)YRXmH`^{FzhI_REYej%(EKl=nU9N-zfv1S<B2BJA
zj1HMbNPEEvkil;;+r_&})`FoTyw8l4F1zL3H|LU-6a!9E{;ydL<*KS;*cRnZ4@H=Y
z^($s1Wup`E-86ZIbdh=iP~UKidW}GQD+?S`=~rh;!@tbr<>p-Pyi=@^X~P#L%7N^K
zmVK?y@a%XBKxSL0u;L164On^|+6CpdkiMA{ClnEb(5JNcw<1ubP>Z<lF`6dAX0`(N
z7KYq>Y$GDW;n69wzx;ih)oM3+VdJ+JB<NcP{8z@6_fl?o<UX_c2DMICF!N%{&~2+U
zPq!QgmKFx2J*uO*ai}?iQqGD~qpo{YMoNE#{kZOwQ6-l+GhP)ME0g&%E+6m4zQp^j
z4i|Ef$&e4xJE;P+74{$aWVC4sqmIMgrOWmNg&JFW=RuQ*6)ElrB@>+*POchA_Bg&p
z|AE;p?so=fW@BaTm@KHx1RJ`8H@N+)^NqP{$_mFlyJ&0nA$*8JTatLd?Q(BUg)X!T
zTap?3svOnQRx?JhV$P0Onb8~!8z*}uu>zsIZuvvZ*PtDY#lP`f`6THcxA4vUfm=bF
zivRS5Qw~U9cqH-gZruEaE3>PqlP5jBbZ}&v^M|Hr0p%&7nIU&FZJdd|Q^mQJs!<xE
zi#UnWe0cJGYTYO?#K_z;1RWGtsQ#hkZhT*b3!jCQFa9L`k@p^9q2NSG*7L%C5B+21
z?fnx>V^DU+6D2mbSAFZG0I|&B+l@-kNhT4#st@m}C!a)P@32(b<L4Yan~{kXxOD^w
z`IuKJ%{`iWbeEr+9c*JF{yN6h{0-m*$Yb#*I_IOmi6!-#h9^G_=e$Z%*ynM2#@4Tq
z?8q`gndO-Vqh!RZGPa9!<fG#2Dc3{UczOaR&+d`7(#tnQQ&x{Azc{wKVIL*V{}R(r
zw9}51B%jPACqp=ulJ0m%cnNce+dF_?kHkVfr5c7p`n<5=l+KNf&xx=a#uR_G@z&<Z
zM^Kmj5^oj=BcPYu+<Rvl$DHq-wD@d0e0J;kpT_QU;(#dI|8pENm?J0+{WX3^R#A7t
zK<xHKSehij_phJh;zM#cFMc0keP;O|$s&u%1#C`rX9nJBU6XjOwk_z>;`;VD=T)H}
z?C}|%yq_)R+GMJRp8f^>hnatqH$rW4#uy-3+Qw-BIN>sNI4=G@@mFZ(l*+7=*TZ5+
zqqpi>nkzJD$>zKzGILq*&GWWd)HWmF%6E-rK}k%Wkd_sh?-Kqi6B~hkT;PYhjl=hZ
z9{q4WsW1`oB6`Doq2ne0COz*_jkvu@9`5%t8uMAp+;7c&uS4OtaRv_XqY0C<1mB+w
z6V%ugJ|@PNp5jGcRTT>Yah12WEnL`@_X^JctTeaEC;XCn7Gk=x%|L%=CFmQ*ZfOt_
zFEqMKmbMbqKtSRbvP*CX3CWrAg>A1(4rc~~5*#>CWfl73vS`c+0Ry9`(6lU@uOBIT
zBY<Z276G|Ytav5itsKqwg(Oc;nOzQ#%yZh%O{9S`!flYK!Zx^`q2jX82flTJ?C>q4
zvlM?-p3dAJc4Ou-mK|h@B0=)1g3oeeFYo28tsLM-1q)DULv@V^ku%RN5Gp5k2QaPR
zt-*76*kQw81#I|7j+Q!*EXz>TMF79!Uo>r7kmsASN@EK}a^HScjgV4C|A7>~EzF*5
z_iL}oV*580NujgKQ$vrGw6*NVqZ5EIT<60_ZH565>pQ>kKj%3fusovH>Vs=0m=1yI
zt>|IDsDshDqP3)%8H!S;pFx_|w6*W%D5p!`wDSb}Q`!`AktPpa>;FfB!jSiN+~>t7
ztR(pJE#j`FR=R(wpYl9;q4L2iaZCH)Ewn^B_A&K<powXcsXZ0UjW}o=WZr&un|%>!
zRFn!zK^W(t)NHohnhZn21=giUib8GiOqJQIT^vOr2(yn|03ELRT%9$vDlADiM}!;Z
z**qyA`+Lv@@2j8Qp(Qvk@T^nC)PuG6&JJ;vs7ogJqu>-s6BZgVMPiN+v<fgl`u#cA
zA#S5G=Kq<tcL6egJ2C!lt0En})*!4HLo~avJ8qd87gM!WOFPS?!Y81x8W8VbGdzJ;
z`(;E?EeUtRneW6_ov2X4MY37o(=E@-RPwu4XHc>oCHfVRo6b-tJ9CzP6az$tx_6qj
z70W2508-W8De@Be!5Z_^9^uMPTllVg-ZXs)F!i;*g))B#_a^Gl^*#qY=;Uu^mx?6o
zZT_Fo=Dj4OL^6V7MebM*I=BR;)o84C9WEi*K2La9<=g7hgm=Sv?o6+AWyXkd9yR+d
z^tj!_Fuov7kqokAQVo!bf~~gDi+0xftKANuoPK{#SDTf<^+Q%NlX9_=Sn-)~ui+wK
z9_73|OGNs=pk6Os^amNC7iTTV5Vu|dc~#5Qn}%>h=Q_r0PZiGX1jqy{!#;#$MUP8W
zJ;`hE*V}lDpN}1z8G>5jvd;FaG2h9FVI4}vZv9Va1@0`J=7`}Gs6eFR+2?+KO6uIn
zDKyzDpr><$&A8-8;c4_t!^c>l2U_wRZdUCd*~|0jxM9M1ciQ&C6+DIup<$=_n_ZLT
z-D8Pg&}Gi}%!6u-<|ijTA5tTY@Oc<udCH@$X)-6(tQnxB`0LgdQpN9kj%v7vpwUU5
z%H+Zrs>QxoXPve0DJI9elUL`H=`nteh_fA3!wYcF6KBAlHCdh1*u^hLbx2JIH=H^j
zmt#gFa}1Q>@=VHA68HQGzM(q#7#sX)n0!W~jSU4seM5W1?8k@dkg|K8gG1}C#LvXH
zaFjfB@eT*J>IPem^$B5@K+|{P^YKc>z3a$0nsg0+Rt_hihg(er$D@Bm%%%HHrkNUI
zP~jF`e=|AZZ+X)_L4aeG>8ZiHO%DTYKE(XF?L`96BWqiIqWTi=#3@p#@BqFt=4|Ch
zE<5<z+|-?Z$Jnm4^1TCWQ?{0jMpltC?=fZbrhH~y>JEhK>yh!Vr43E%B?S11jjLR$
z78?tlqO&Q!sM`-;75;8$3!?-702TU=<Qrsw;aQ)vr=DF7oZ)Vv)46f@swM0;PR2Di
zX2TdTK+GOrn=t)H(x`oB7}*5Z?ij999~lVu?v!FTnUJ^awZZ-hYHo=8IH-)#NfEr;
z^KA)(t{KGiAWdn>!Le`R<X;w2f2d~YrPXjyFP-O%bgOBmLUJ>6!-)Y#&KbLne=6X6
z^Yjc<4Rtd*+tpGC<B|v8zJk-ba`)Nd_vG7RpD0}M$84MvEJ{bWT81d?D-*O!fI9!i
z1;)<yDoEb!&w*8krqw?6$qp2F$Xgxve`rz<Inz3&aS9eR;I((u&y&KkAC!`Rtii7*
zV@xX4sb%7jiIWz$c(z524p9Ccs@qtW8nYCCmw!Xu9-I?NQY|8@?sY${Ydl%awW=IK
zD(~+GFo`SvN22A+kpR6!>ZQ~Qs5l9B{$2~h@#1a`j^X<g(MlC5!l7uNFard2QU&%%
zRtO=PMI7}za=Iw-WA8b)kaenXQBxLEzdKeurS-^Q73WAiUS9JU8#HBa24s$7<F~Sv
z_#U*XU4`OGidhKQBE#<VpKLV7p0|e}Tj1hhj|3xW&ojfOl0W0GpPpgD|07A0h_k_Y
z5$`2eUyG-}!(6AI-7;JihJ>l#$FDBl(>C>nD3!Kj$^TF`CT0ks7qV56q7J2}@RzWs
zK1T|Uw0jok<SSDg{yH+5!>LX$EU58*haH+)6ydJ?$NP(dQX{b^!pNL!6y&AmF=mQP
zsAd0`013Li*qQXIwTyndxl7LqAy4(3LF5BK;w^Z4nr%{9(0i(dSV2!A@4~aEI8pAl
z4T32n-aRR;#rqrqX>XHkRZcuLg;ul>neYA&1hagq(+4w;Ki(}Hu}JR)og2qU=7B~C
zY<&?Ol43ShqC2ca5SbuM*1ed8ho#sL4}YAK5%<|IgNmv^Z;~cV7=dUbC<Q;VNkpZ1
zkhZ)4m4mPe#d=(6Dp)Kp`CcA$Ln`L7z{Kms&crM({{@&sSysvK72-B+>KwT4#xg1<
zi+ZCqtf77ZohT6&fQu21PA<Cxl2*g}_BH_r@ubuW#_Q5ay6#0q%PT}JahSW(sz%^-
z<TeE09cXah$myIvWlx0tU>_5ZUEV8NrO$*7`zJ9#)|p-#i5p&p_Sd(!QzLP9>%{dK
z>NKBEE6AQ~Bst8J(SPIj3MudvmZY(k0`tqnhI*yDt(f-u>HDO0ZPmLuZ`YMR!WlXF
z{WdOsqq$BR%E4}B-?dL$cSifrr2VLhOgp-ce@wp5OuU&ZXR24~{GdQ^hAcPnnU{HN
z&oT-J`{snOE7isv&=E3vM*|@v=9Xut`zYy3*&B><2x`*4fx80xeO(?4FP>1UrOdb6
z?%L%b!gXw6h_o+Wt*}$~D{|TA;mb5rw+=+S&jYoH1p6-Wo1Jm8z09+X-2LoxA<s{c
zJ5_YLSdW*<21!Kc@YUK1iRsueJ{|2nVa}*pN>Qe3`ab*NnfkY_io+jvupIjhpV6IQ
zKK?=J)~MJ<hstT19Fd8-u{N<NQg3q;Ac7_b2)!kw07y)`rv+EZBkf<(-}_wXgBjgU
zzFAvtYNpSE?Dz#|O=hTHX<Vx?4^F3?z!D$H*c<fBq4Ow@LghL2brJ&OH?vyRw^}u#
zWHSK2Wako#tQJQ^j-#$o^Icqz@UdoWEIV%*Tau;&pY&Ch`&&>@e+;lb`D6CMglx<f
zdut^rL>}qSN27u)p|d#o%Yo8tL$SU6I`CyD%WPIeY}1V3{kh0^yrRG>BMk_-Zh|W&
z&r4Rwmw-*4S<s)WPSBFBcJX{ricuAeIq9EVt#MI+X+C;ZAx_Wm@A-cuF4d&FQ3E`t
zI~fuQwnR;hJhb@*+3&F9y&nB0^b)#f4x!4`i~EcLwAk@~Ewc!?+i{1<C}#aFYieYg
z-|NL1hwL~i9D1k1Ptaei!bNMU`YjXfNsOa_Y^vMyC?>cA-iNVcMQ%=rWU<&Y?o21^
zRMre&OP5A6ykakm+O<$@)lFGRfe%}@@7Jl@kh010pIZu2PNK!_7;%iI0*)iAkt2q+
zzJDSF3|b2N8R7%%IQlKhg3Wzmc@-oW3oNuI9z>6;j=r4GD482q0D18ngY2od(w<Ka
z`8oKKM_?V)L_AcUO|=?pH1AL=Rp!=X1q%(&gc#Wrv~iCBujtCutxOpOROWHcvn*rE
zsPFKAl>DJMG-&#Th1}qo4wAXR>m)cC?V-YK^_XgnMKDY;!dq=2-HE@CiEfYeLW^s%
zp&nAAQz)Nhw6d#e$?9Xu0l1rMccsiTo73bIgmy5c8-Bs$To8|L>qQtx-!yCZzT67n
z<>1`-ZhmUyJf?QCohNU33?6`j1~}ix->k+mN*7ii*MVmEbqaINOqc{L0}JG&ORM;5
z_yi~tF#x4<h-0+%3?^4B9128OFm7>3=tHVg^DC1`Jz0oS@TMT8wipHL*@jh7W{G)W
z8zV>aD^kLA-sP|Ov?gCkfGLhq<#%WIrXS_(a`)Igi<S)cDRW~VzPybagQ<Ue1mWmM
zk$Br@0uk))v|^GZ#<KI=H!D(|AEWYCISa?JEx`sJ)^<fm^+wg$wF*I+`@(trL57bb
z=h!6G%%a6bGJm5F3tX(woKIVAOkd4Wg?0POytkWzrz7z%ED{0$Ukc~D*Pq#{dh&hz
z)~HlqUXV-4!E3e0{Q%0cF@@jU)~SpghI0>nzA_c_xt(Uys6Q(ReWQ5KPU`7hBK(2P
zKteF@-v{kz-?j!J^@fFqMdsa=_2!L*VaV?yAH*FI1dXhTI}t3;$Gs2{nB_!X(^H?~
zKlPOT0E5JE5sf#^{`+;TI<bBW243wv7~QtcJSJ*zOraof@&@v)CVp&X^p#L+|7!Sn
z1Q(RlRb2(3D=&P0PxE=KLl6VXZncz_JGH3b(c^>CDo^w{n)aVIxOh@#9v=Mb!cN$|
zXWh_u!EHX%b)xsX$h6?ZlTigI&^pv~tGTTRB8S_LC+mvMS}X@Y<@=CaG2S7%x{8h5
zsv~m8l?W52V__cy&ECh}SW*Y?>X!tv5EGLkR{+Y#NDp~dnKPJ2K%C0W!@et2P@&zm
zI>^xzLNFw`|EU{ultaoBQbS+Jp$PKRZ=}~6JJ2_5%6xpv;~hEt_Up_4Nd67V$e6Ub
z!6Sp7DDQ`3Q9l$~)`p<l1@Xgewew5wmA86MrWiASIFt<?T&s%)PJk;?$zjq=G5QJ`
zsdyeI7X5H-lLDr+A5s$&7&C7>0eQQpt`bjFY7R;yzGMO~p@Gyi$E{j5@1HEg#U#VV
z=;hkmzG|#{*iN;!?4$CablX4F-QLl@iTjI@@c>UA!vRUbDDUP1`T!%z@;8>tL@_qc
z923G%f5Rvp`D7F(L3SYU>>HR4M;EnME;Z+-;dVK7Qurt8_f&LSQ)c?92wm&HlgLl4
zi*+pS&670nq+1+S`(-=#X3wGV!ZDsL0jc8-5J!50O={9PgOo?qcc8a`BlFP2v6!V@
zt_%z*HYcrRxO@EI(uM#@9Wn$qQU|ti>+j@r>TkWzAM0u1wz8Ud9t%Xmmdt+&LcBtO
ze!p*l9Uc1T5Pt*2=~JKkS~F9X{Cx@MHeGTtaT^eOYH*IsSmRORxgnnFKb)If0iXMS
ziVcna*4H01v=?ns7Va`Ly<cCctHU>)mugKv^!_r@em}`V<(PUM{j+6>ucWk23nQcR
zz;fODXF-Mc{%b;I25=`oKcVT*#GdJqFw>dY67TObGlc<-0<HtYa^r;8f<Bc4!cY;F
zo7h@F9B~ElPNcuCpW#hWe{<dfY0khn$9)KT#>L}STbNuhB~EOy*fydAs0ln*&g3E8
zR99^@7~2Vvg{Yz`ub<gofl9-KK8{OQ1{aF+h#F~>H53Z_mcguEE12TFn?#OFMc*5U
zy-qJ#$#>c@Rx$T!&931t>`**5Sh<K$4WXK&FS-NRUt1c^aI)^1R?evzDhy8l;|vXI
zYo|BuV1Gq(^z@XoL*pP&@b&Ex-gHEu$D|AR0j;O0^ZlghfwA|(Ro98z1pFkz#fq}I
zVgjkNR|<!WzVcA4gBY9d`rWx)cSm535gP9nD5dIe-Gw%MyDb=g5-@3xKb&{}m<iK1
zdy^Lf(?=TT+W&3m-X2{|`WdJ_;;Sun13l>$YyX6rXm=G&TLP3eZu&5{m~97Ypp(mm
zW8&R$Z8>F4r)u2-GPilC>?+?5jWDT<`44BVQ%DX%zCZtHB9uTdv#Hum5oVWpBqzxh
z+ly_b7s$uh6|$UITKFGpgn`?ZSd0OqbF$%P^iP@$`R09B3SSzK@}3fCqE^@sG+E-;
ze16VeHYqepEoZZmcMZm^g%nGGfWZJ4>LL!=Sb*-6XL)JcJ#TlEgp`XCi@qMQT<dLt
z9ZI;^VvZ0jgH*M>c5;nM>u%H!FVnUFyc_^gCval9Dz!ANL5qTQ<=Ewl(#L|kS?1;s
z!%_`R2%%3k;@a3M%6wwcrh8R14A?dK#+O<=$I>;pAv~^CorYtZa^|tWN(MCPb=BX6
zbM^fboZo#q93=@TZ$?Vs*=HdY6zN<0ypO&q(#q-b0!le*oh{TE6h=!W->If<TaVKm
zHr$k?jZrA>f5sj<x54$7hgD(Dlo}}7>cf&^++j&3pBfm<1!=@@cGLKiITUi4hsJ2o
zB|}Ke%UjB)1u0|q68RWRPQv>hd_(#oAEi`iIMH?d-6{H{jPct~M`*4bqZqXDGf)eQ
z&`Je*@O?W0!ygt;^wry0Q8J0kZEiZ=c}gTxmaBRCNRmcK@rAg9S#x@2&g7arkhtC$
zQx)1&enfxDvdLYh_B^)o?-RWyz+1L$3hGTE-9h0->-~2iCM<37)E~$n#bS;6h6ojC
z&oZt|L(wHyqHiW3KsOrYq=0v*6&Jl{_Slf;EN0uTOuE|VRVz%(i#k~nRIJ2P2CnUs
zbI!eOrKgSn$5mhR$pOz==9$p8XD0MJ$=!HVR+@81s5~(*Cm6+N@aX;b*bb9Q%$wxE
zM;5RAdU*=wTLs>Ww{lyMG<)mzeCnB&F0-r5v}03fv`?@Ymj)oU6k!m_9`glnvm<Jq
zOqgD{lew%?iV9Ca+EuWu;y}fOM#~my0uD8rWZtl!2cah#0i18*aTWc_vNUxCW^Zy+
z01&UH%*7I`zq^0<p9#Y0wfJtq=3FDj*gMsUf(SckhZgy`!-eG8g2o%iq^9Xkl%NoC
znDFjPsVWeKF(X8B)_gL6;RCr;p+KmTQ;89dKBo$zpv87K_q_YM`mnvSt1QIFwykug
zjs&0cABpf{ZXdC-I-N!Ius_unwGx!dOspnz;B<3C^P7WH%0%PJWRMyxOphs`GaTaB
z{*Lvq)^!?HD%kXXF}a_!;IFE$MMqk93ViL;SlDtUZs18qcn+q%vrD7Isw^*Yllrd1
z4YATqZ;T2Nw0MK}H(rNRr#M_IE7j7(*|U;+yv%;PjeJ&vRw@ET-tn`e33R1XE>Sgj
zJ5+PCMpZsUkWX5X-q<Jou<zS)Zo0x7l!Wu`-Mj*!bOtYCXZR?jp3}rV#SePTnGoHm
zvTovd&ifphA%gXR*}7$@#3GZEwkEa(j+U!y#A}wd;SqiRK2HDGt9kKI_%9vQbG8w{
zj*BdR7r6y^N++EKnXNE=kUsL`GpU%7W0;sw*oRw=YnwyB^--qA<#o=gP2-ol?>=;K
z>6`wvsI<0lH@)KbjgrfUB87-b#9=3VTvLkUlWCFOFFW>f5JJEC*@r2EFKJ|!27s12
z_N763uGHVt><49z26<r(F`im!0M!Q$iki$s-2x|eb!n8vP0r0!^x93}lz%s|3EwaV
zCPQhww!}_xFJ%FEvBRR*W*-sjz}QV?dd<zBmf~*{8}McD>J2IGe1@TvzxQwhE_0+9
z+?>HhtgZ8S5$>Pz*_P&}sh>)a7Jb)}>V`J4!F^5oU>7_Ry%T{rjxB{?4a5IPs5(?A
z&xKeo8HhyDIQnq7y?-Nx_RpzT;u8tnWu_H^YAjqdcUHj6BR<lvkU^f;*|BV2D)2sq
z>+rIhv3Qma0e=53Xan&NJfPm^D?}{~zfoEDiO{%i(6ou_mJp#EJF}pVXHK*Agy>3S
zBt*q4Y3#R));c+k8U%%WuJQlSitIFKxy-G)jG|i<S!bU-dVu^nIk@w_M1cKNJ^*6S
zB0QrCLAnc}B@<9vIyT<>^}N9uXbH0=i?+j^Hs)yEc<Mm}5}2nyr>4U8_}%x9$$RJ-
zc1;@*QKeu0qsue%1bn$$7k{&b!e~vY3b9A`I?m9bv$hM=iEWys%hIUUNw8z1Npqc%
zKFU3T3S)C;RrIhb0&s&ljhJm59R>BqiP0G_hBGMP0|Y&Wwi>&RYn2D4g*G3_)^pqr
zpHuj8dSb_6)DS!NIgi7-U_)k+St0JN^RkJDqot)tUwAD+ska$Un_FZNA9&anB1#Xv
zrB2WnY6u3~qd>LWTc8Ikij7gK91w6|pUOwy52fG1scutV1HpspHHu)v!Z2Bisp#h;
z`^n(kcWJ~ZffD%bZrG&WvY$u~X2HJpenV23k6FwUi&@4v7z_EzJF}45_*KRXjWtYr
zRf@2&!>PEJ1iUW?W!jA4y&%qX9%ox6Y$d;i@EgAgT^hnxbC4T#rluwuI9g7CT`Vo9
zfGR(@D`m#%-0ATix*Hdb@_S9|I-jL=b}mCs$!)dzJc|~ts$|h4QrF}Rj<X^73z$|I
z{=)$yzjq_pANvzA@|oC_n|o$3y6aCb-DCwS1P1d?)zfG&XB2afC3WSoKgZr<+Up=f
z!v8t$a)MFJf27s|W4GG<X1>ed4|gbZbq$82yH<=;HKJdrTYMb3FIar&{35<Lw`}%Y
z8A<Df=nZc*DM?JmRCi@f$WqVSH46H#v|}O^p=?|o8qo{e1V?`XwPT0-y5CJ>=Jqpf
z#yQe-2ajA=N+hE>-f3bNRBfQiPifH$Se3Ll>Q)NcX?QxPbgp&dCwe=%XG8Y=%&sb%
zI7Nh;H>un@n~a0jadBPtH;xbq`fgqhAwOjT1pO~B;yppIsUWH19pt-^QRFtRhj|~%
z`wur<Dhw3E@o=Ta?rRSiI?wcdiua)^GNawX9QuFlnY-IT0lw7@KU{39Ox{j5^36$c
z!lw;X`ggHX6|_ayX^KdY{F^#Bn-nVHs1n^yqW5NWCS2itm$#j97(=-npW^s7Hkk;P
zMaTX6<AL;GzJtSrq^Z1gpJk^DhxS%G{w!Z)dW7nrY+amYk=6rMzlRmaYT!=!%8E>f
zt(uqrG~`|sAMSX*kA*<&?F9ImzrU!iHq<u?V-&b$>Vf+EgGN<@*;)2AC-Z0OnZy`7
zV^I4<tNAeSLAJJIb{6GK+4k>CG;z0?v@n%&BQ)|(vk#y#SN}naXoEbVl5@no?H1RM
zNTZpC;P^chf8BnP=i~I`->x#VY6C))8JvP-H8Lsa!Xnu6nH`sDR?p=8ZpIuez`Wi)
z^n1Hs=rkuluGPSsmy$bV(RU8EZ_Vq#6*eWTm6}G@sqXW8+Bk0TkI)go<l(7q?=9BJ
zH+SEQbg(ijf((BZ^Ke65z9CF)>V^KD?3I-ZQCDwnX?XB$dHD%}ubZ6bS%Py>-i7Mi
zWxTUs!z$Vm)v`sgqCP=oAJCiKQsNM)0hdMm@6>XSTaaD(5+v}8uYx%2_N~+M1+1^h
z1X#@&^=r$N=~MAXqET}%^yP1%Z_yLX*4qXC(M3l5wb>llmF@B;E2@)px-USp20Sb@
zY1hkP*3%t@WVGCM9gpN!>F|RHHy^-Q_G-I`u6Ek<V*#DI?v^cU+auD>k&H&zyfefl
z?o9i;m(t-r=;;bOG{;}{Q-^g(F?W><?sGgx?cKP?%HsG@%z%#~ceR<k)f`N2g1sX!
z#&&$@xU*xi3y}ih`_;Xpl8PDVEpLnRelijymkBcefr}j4WA%yTOy2p~KJXvOR5#Pt
zm6EZ(9Y4Jzr4sY<3d-Z<)~zgqgNt|lq;3zs&cm3ur{4HutSt7K+Dch$49a?5vtWD%
zpyIFn1dSB0FyB@)<<?F7C58p5Wsr9xJwuA+4mQiEwtI)L<QweSGsKJI`6nuOj}NM!
zzQ3sef2|2{4U9AvN{oSd|16A;@fEq{B=)TeUI_<=Yy+PlrIVE3SYuv$Rc=dBXE6St
zfb#Qt-^dHnUsnoeIWOphAihS(3D53s2v%t1@k)q%eVVzx{UNv_Q@HLb(^O1xrxdPK
zQup5S_ea@e<DqZK_U7}9vN6UV@(2t}%js45{uJqj#^n~gP~X?WCyUUYvEtoyb_e1R
zZvzJ5%&i}@EM!EdURs3=UD5MHklTzq!kdREStzyI)%R*Rh&(s@T1t5`Oh?IV70(yN
zjK|pb#=Ov51aS6RsJ#1o<6mopvVWl0%g^37tA8=-QB04wkpF8ZBEJLJe|0lOx8JZ|
zs)-Z5cgxUM$Q0uFbrnp!pU{{!@%K>oWq__ehSM`P$q9KHI8=Q5H6{{<1m<t&#sAS5
z90FZt()7L$RV)3Q4YoDhk9#+FPN^Adk)Rb<7bcROQ!)P10YCpd6NLWzIyl2#h;9MX
zpEu^3kO2(UkJ`whs%e^!#`s>uEv_aw+5_T&48Tg0?LfbcB>XAQRg{<t6aOG@P&JdP
zg9?;Y9_uIm+P&zOufpS-b>=r`7POBVBMPu?yP-<lSID1ZuZ~la4KR4WR{k0A*K>t4
zT}BiC47jh-+u^jWJI8f0V#-?-Y4RAU?fpEXW>)S<#-Fwm)GIE_9*IcsX9J{qWy&kK
zsm{O<wZVgyJ*L&2&pE}+@utv1BGS}<&Opoy`q~d8x`p|5n`o2m3YDxQ`{XK%<O&i(
zxIV{e!<R(;X)<}qfNBXEzgC*BKFH?Jr#z>W^(do`Fxrre`@r(;janvg33=U<yhyga
z#ouV^Z00S558^yG`{*|}Ub%4j{P{f7Tl|H^`BviX=YE04-X}#|V9ewKmgi^6lPZ@)
zI(Rh^h&u%su>^8%JLpz|T<&cZdw1xZnnF^{__2uL>)N{+)t!Kpbsrhmz2CVV^1dJy
z=y%>y3Gyu0%nhBQlNf!&V7N)pu>pctcPBDYUg+%%<zMcV5RnQb9Ng`{3S-VUCQZdQ
z7KKzcwC*=zmhQLy!=JBhBX^Mh0}Vm)zJrA~N^7@IsP_Gakfk}@QPY`Wvb_kB*z;3O
z3>R{uY;&Afjl_Y%(Cq!yN-bgHEA((h)enHrbXwnv?&{*w+G^L+52@V=b7|9Dhs1xf
z<fppu>r}Fs=oB)XySZG;2(6I9&bUzeX62U}ZtT7v5EpftaH7JBe+}VZSnRKJBy2%m
zI1tBV1nQj_*i{|e>BAp&{X^^(Z~MHGpbOpEGl=5)W)nDjEvE<;>`<LA>bybSI!;ri
z+^d-}-4zP`B&)h=JNZtPz}+^9Y&;cEldxC3%qs{3+@Vp97OO8U3-bvo1C^tq_EehO
zifiA<6F$m3jS{VLsDpvZV#>-k<owz4LIDICo0SYas{sP`;3GQ~AVNM6xF9Mr5g<==
zD==X1^KSG7H(;Rc^z|<WukfZWg)QYP!l}&Oi?ApexvRux92R{@m3vUDPp0i&9ZW9`
z&z{M&ON&E{AZF`?uVrtc+mzlOm!NN>y|RX|a<QcTq$-zE_^;W?$K*Mh&s5fUrq0?8
z2;68P65_VfRyEx-80xm<9TWcmb4um%_gv0}>Xa<o$)EO60W;Mxk^T{Vcea0PcVGVi
zZ~mWahy7QD;{O0r;@wlVHm`xh&)ou8Sx>ra>%YW)_MpiWfKfzV{^}m`8QD(jE!_xi
z7df;jYp!3p%M8jHu%mnP(Hn#jrW-3bP{%H8{{Rb_lDTU-kyB2fs;uHTPyYZU@&*@-
zTYeQ<kpabI?5mjF6Q>MDIhPnav?{~j$tt7W&1k}dNY8W&u)ZHOE^IDhi+4^BzzU@r
zE`roS!O@A`Y(N91bRI`{(zg##%<L8P#6P;LP5YLoQmcSU+<nu>iF|CF&Zsz?6#x}`
z#t`toG^(6UQR?cZe4go_Zzy+EPqIGi#QHlg4q&%P8esgq4I^8Se4sj`4nmoi1R-11
zIFZbza+-aS?74kIWcqIPD)j80$?SIH=2~7q%H%sDcZC?0g?7X!nVr#S1Z58D!|Mpn
z%h<0Ln33#>=!C1O@6;pEsksOJO-yZF+lgMVi)fJts__fCj+NUTJcd>e>ex3Dsnewx
zZ^>`J$PKWO-Cs;7c*^V+-c6M02%eo)f4Vm1N0W7zAO=dbc_FQzbUznb%6)BK9Vlfn
z)b3EF{X6<gxUMMuQ7gvc-Z)180OjnVk9~jcJ1SLpmo~j;eGTY<q}Edj!L=LXLUZbI
zP~OP3+pH;2=HMt`S5-g$DWcn3(Mz9|H-fFGY(3HNM~)-u%6EthPhzJ`jQ3osXG|GF
z2@2YPI3V^8S9A;60V~}P+;yS<0CIHTIf}UV);g@@CRU>0T;Z5d;UB{0$o59Vgja+=
z%7o@!FFg}#e(lqEienG#nnq<YR%&?nM3iHvn1$ifX+LF3v2^!Lj;XE~kb~Ph?tx)0
z_Ff+mM7JBlE^l>6GE04sE*VB*)ar-Qc|xSw8!h~e38Tu?V{21gJykJQ10!;t$|D`Z
zJ(n`%&)HAtdjPVF&!suVlkT&RW#Xm*>FyReg0fcWfxT0s3iTuE&&=k0uVr45$~RKP
z?y~DjoxwoQE0Ze%hF0mW9aJw2o>Hv;0H(3&L&VDp@n{*sBE;@kLZ9wMt!aY1T8@VH
zUL6u)cr^@=s(Xb{e!jEnZqbD&<b)b`9&8nB_g%ui+^9ZIVx_YmWrB2Sf$8e2i+5b2
zQ)w}r#Rk;h$U}suRelFV_&lSckRf17w1^7|OR%TZzu{Qgf82Ld##gCS9+JEoTsWq=
zTQyO0s}=*$B1_Bt%EOjQ9?B>92uSeh{^u(xd}_VWCIR+Mo0iW101NWn_fcd1>gF-e
zZ)C>tydj}eYl1a+CwSEV0BVE3Xk4_O@8M#Dhus0-tg;v8Fe|I^Olt?absrDJCjscx
z{K`i>sw>icM*h__I38Zla&Hk!ho%}nkXM2E97x%vIhCo9M^L6N3YSQ7rP<6?J@pjn
zj}o)6yc)Q4O8h0z3W|-w#>xVBa-|p4_4H1v<GS5idm~S>=1z@@sKMO<-^>E=S?fdh
zyK;l3Q)*OnxuIMC08Limc5_`QQt<C^>c1>BeUPn4!At~PNQLMjZ-S{%XH2GvS@KhF
zy11ML4a%2F3PQN_RVzoRA$Oz{+BC4h6RMroLN_&X4KwqnPh=__F<QfL_C>VmkQLRj
z2vZK^8>Wgp)QUD9WzIQ}Xc#Gg{VG~ylqIB|$d|OVeUqZ5LN+$#&ceh#N3K<+(iYh&
z($Nbof~}bfI;T;0sl8X(O72>{&_KLO!IpMV?4UhVi9m>zHUv1j4Tn-7$8}4H!wDH3
zk)=x%ww2;k^};o(WV@n{>Y)8}DsF4?;h&Z=f%8twJ19ZJAgpP!nuGXH52D7osll|v
zYhALDMt_vj+E9C@1~S(5_f<o>iB67V-BYVc&_`s)yICSsf&45BM`S9IB&P)dnLSrF
zo3C};EU!}c?t+DZ{HF1h90fD}RMDpt`n}j!Rd?cekJ=X?@F?^Fd`iRL2pbJz7sBD2
zNPlwmQg8nNil4;~;3DD153+&80E|>&`-DwLhmYEyZv@(o-bq;DDYBQa${+D#hj(ig
z+#eXuAa>b*#5SXU?aIw(e<fOKR6ok_jXT;?2NieWU9(F3WB7acH+@izN_5=7J0n|z
zsOK;s;NK64A5cP{8o^M0<;dHqskYZDZrn6PBL4sld-hNSmH6Hzmp%TLo`^en37l0U
zY<((~Xu3er&pV<eTyUhGPujh-wO#_aloOrZeY6Kr(MV3?c!86!AxO$B9PUu(<FbDi
zFxI^?aM$io@TrIY0CN1CCQ_y?gOIptjTd)Jb-5u!M>1_kV<-*QJdEr!DcnB|{JC>f
zQ8I^!CBDh7W3$;qa^k2mAUH1-nWj@|gMz#!nU1S_loo#~TyxoSh>w@L9!Xf)cw}dE
zI-hg_fW8`io0VbRa}Hv;gbwQ3Exh+mtX&7PFMA|~@tJu)?5X&4TGJUR<?JEI9u!IK
z3p7gz5HNwaev9AFzKs)=g$@})3Z23p>CM?gN_!vGID6?Esh_x5T)_eKogYov4iKvF
z)l5^IE=V;IBt<TWN(uh}uBOLqO7O#_t@(dt9&dGPShhj0R-H4lxrn*794Dd$@}_XM
zLf%y1;Xe&zz$#nJg9gep%EK~_6IzZ}aH8D#A#b3&WGT`R69nAitfNjD`;h!~bH!Ag
zQ|OB+fl8M^)p2%I46HG7w694ko(J-|xQ37AXNn)?f6X`isBaY9`>%yuKlxn5lJ3gp
z40bEy@Xns#E?TuI)cdTtwb}j4{x5|5GrO@}!11hj-@_~7Q7w<GCbqRg_)h+r#zEoV
zhLh1)8TgJ0rp{HVHjw8)(!os*D<w|I#!<#lbZ)6vs4k|{vK|ov-=%QeK<eD+{uZH^
zHC*kH4cR&B0aLCJb9V@!Q(fQ9Jrz1p@EMn?bZPRjp&Aqn)kW?(JyoMHolJTc4*Gkh
zKD|&qle{r<E_?Sw!<U50$Fec`K%mjLmKPCOrZAmQ=Hr!X>60mx?aPNn1l-fzSY0eV
z5v%UFSnPvInrViZfhrt#3ISFexl4-M^eiOeQw;P%o4F5kMJj>q=vR!|jR85lPH~7=
zGi2Wo<S1%zsj=#wOQl{2VsnkJ#H*Og3rv&%wXISd+f^pN!;(;Q;L>Mh;&6>NdF7>Y
z)FB5NhUF9dt6i7(Q%uNS8}Q}gHz}uQ^<2%5bPnovKrBi*A#SZMR)aq1(SAM9mwzdS
z?a(9#A9NTw2eyOsdug}I{9Vxn6Y^nfq&0gfpEo#C*o6Zn6CBD4@24{XUYHtXZkz5Q
zPx~mGE8KJ0a_y$e3<=OO7lANUyOp}xZ{^xhWiifG)d}$mq}sH+K!0~d;BZZC7JqM5
zjn-w~WiDuIdzCy-5Yg-x!KL_uJ(v71^zc80>F|fLm+?iv%ID)<{#X3#{{YJW0GfaK
zT)bPq%H-n@`Bz?Qk==Y=8uo>67s6ZoE|lG}yMp2*ebiT@a97c&>NS0pylpYY@ZH~)
z{{RhF@VrM>bY2t(ylg`M0K<6kG3axZM@+ZrD81SDMlhh_6v-_^n1Q6|9Zki(;We%i
zS%-8w!lLtrIKc>6v&4u*Y^(=8)cFVn5z$p?R;H2BA1`&|K=G>eMwK%)3NCRs9;(K3
zAlQO;a_~vH?rdQk0@n9eSExfjY7OC=;kGvlXZcTcq0fnuhYgxdXKt&+x0LKW#Fbgu
zC0bR_$>_XaQ^GZ!&Fobk-BuS5R4gig_bM(KQ@e_}#(s9*Uv(wdK4MTlA(fXe3_aG4
ziLP@czqqEou&25#F0$Q<vz5|4O79aO?3qiHH+(D2=8(ir>fRg?JE|_Yxx1E1B9kq5
zvf<s%@GwN9PK^@6dmzg!jmqQ}k>-n0@YHNnR1@y6VT5}r7$F8Yp;4U`ju{ID3@IC@
zN}Q-&mg+_-1kim<-AliOJ+Py7gg)qe$?}QPRiG`S<T0H|Ux&LND?OG%h=8-Qws5iK
z?B46bX}j!$-WJfi6=_-Wgu<@V3BA`a$|fKvb8@+`$8}yUHk&)5{{TNIm7UOZmZN=1
zSRA9OWm;@7)#7ng+RtU-{{T<njYt0YQ&HxPHFpzH)m_y^Dg*gY8qxMp0-0GMW}`yI
zX8!<{BO_g>?vIN_r4rWoPE*2HbK0%`p~IKAxe7pSH;}I3U*a>ejv|qxSN8-he~RDS
zgYD*O6skJHK9Y;ODcX7>4j!S|Y7S;+{g7!!H&C#xP^MztlTAbUVi9OKQcU?s(tGIX
z-47@ym#Xl3G+`RAH%~>5tHi27so6sXgSwNK_eTdit)acsZ>(KY_O%$P@yA3sb{j$7
zRDA&Mn!qgs%2Xji*tjPf4Tm78g?IZaS&&iUD>m2kohhH&qkie6?Hi)!e}zAzFrM;m
zP5r5^8<a7~cVCC3*l+G%hik5A>aCaw?Q<^W-3g}Y3fkbc&m6w$qiTwSi2nel6Y22}
zs4BGjQz`Iobzj`k(J*j#y1PAI$a<Yz4u54@p}n-2cTTBU@1`e|o~pB5QPluD1y8|g
zYa=P_*}h(NA=y~dJ7{5hpwf9tk>vI(8cvwq2Yovf)AW>kO50jz<$$1h0%$=5)*$bY
zYc$1(OQiguf)mwvO;o@#@`URO;!$fA&rlXuC|5fUMULOfAzKora(ZgkgkcM|Kt!V-
z;XSomu)=sAl>lkJq7z$8Nh<1_t6G3-3%$^($5jqL`C)iJ)A(-&hwdR?##NtX6sa~l
ztZcd78r2S}9ECb`rcUXVZS^NQoj}+7FV1?q$8(SET<##C>x-#%lq<AkZn;|vz<n#3
z8Bp<J_%(;wZ6RA;lSoAH&oruTqN5F30a?T}Qh&PfcsJhO$}6zaDV1B6bc89n^7GL?
zm@!qo7TH!fb0B&vnd(-bB&$kzYm}cbPEB$M{j`mIN`sXFOf2rMD2h#*s^=0)_=?ui
zFDeKWT2&v%RJxy3>YOX$(XuzwmKAk6z8m9YWZyk}#Z#xel}rwbDlk9pzbX&1nJW5p
z@2ECe7Pq#9=_pe3LXVtPR;yEbv?v3W65Zh%uI`)Qyfx^sxDei{j5NV-RYce!iLdac
z0(<-fUd|Nf*;IGoqVHu_{vUN&o(LCa6}}Wg5yNvkb!|F6AG#GB>3^0SIeV+=`g^U{
zI+kZsYUUZz6zL->;hy1dpCCU;!u&h)K9?_jNL0RD`6XcoPE%i?KOh0s8gsfoC`yp9
zB%vlrDWMHzZlUN}Lc$n?>T&-7<bl3@k*P_LLXN&jAMT$20CZg&1v8|T=owti0U4_u
zigBxee`<TZAPh%Ta~blL{{Yofx$L8_V7zWA{tYm{3;iaRHZ>5h{Xy=jSFza!Q)p{P
zWh7(W4;}W;(iexp(+Ayhhw~>?;#?VMozp5m;yf>gEo^{=?7x&8l-5+>=2SC>G{nN?
znrER1(yjStVz`PwKvn!Y*7#>+YYL5fk3`n-6o{ryUes#;08iqa=C{9eDDj-^{m4|L
zZUuWvvEufx6NZ{KzqMJ#u+*XZmqSyz-5&+UtuNYDJ}spFA;0wcD!g?IgXUwQULO@m
zvHM6@Q$?>IWj{*sDdFD8`y%m}T=*!EWn74j(H>x&7u#2BA4oxfLY}H!vVa#dwr%!P
zy5#~>oLz>aCSwXJwR}ChAVv^(sQGcBe&K~qHNjIer`=cn%^@ERw-B>~rUn+;2}V9~
zRVf~!b9z&*5=t?RAsb0Dtpu)TTHdRks>d-?;L3*Z-^%BpKIn&10emOe<P8d!j>rm>
zcIt;H4Ta9@ysn(N8fU(nV_8ls-%a%0doK`rRIx+1SWt^y)Gr190GQ87S=?hnoK+L%
z_VUV|XGwc*WNf9P6d>eW51+(uMJ_x1u(FJy<%PD8&|FuET-ofYww~S5$_{zLibIuO
zOy{ci&><L4`>KQ6K(L!Qg@Q7?Ci6#C6}f>`Gw|aH-*ufs7$wC+vsm<A>IPNraH+*~
zV)1y1p~L>v8%3k;v!^+i9h#}S(?m3GRn^?rJve_)rqI^xRs44sV|uk&P4|_>(PM1z
zn{wgbJGK`N{{Ushva`bzOPwGb6dnh~4u+>ys@Qvi;wnd~p$IyYtf=Q;qei7a9e{41
zQL@5tTkehCld`MAyv?f{X`FkjDzH=t@n6#%WPj5O@SoHh;a2zRjY>@MDV(S9t&SO^
zWoHt>QH1V`d@{;JVo-GbltL|TWj~0hdEKx@hw9SOiYjBw5k(yimbB!ixNdhs3d+Id
zO{YA{-iwELehTE>4#gHX)KMfWo9b4U!sR@}bn6==CcWYwcOF+ZV+rps7dcJgZ$E7<
zYZr#*!pgg%uSES#PT}fe3Uw~4m0W#AVX6k3DM#nqFuC2%uBz^2=rJ222-9gmwV6lh
z3P~#Fp>t&!3PP2A(B+b0cy-%8=+vTSn$MN$^wOLhj+VPtoiUwY?4&GigCD256%c=Y
z3MrmUrt!kKeNWh`a)D}a?c|RnX(|eZa7Cb)?dA;~RBVsS!W6qGm2xif4Fee2_eJlE
zmCozYGMxbq8<cN<I;VNS%5!NQ)z0UY<2AgBRuff60Xam(YE{bNuvu^Njfa_3;i~<D
zs6ElpHJr~X#>4BouVh_QC3bI8zYD-O#HxO!_?|nN+w&`Fi&znBJ|$JlM+h^DXNGnV
zsc}sgTY{NWp$KtOO*eE;XA1edqW=J>XTHh5_>E9Kf~ejZxpQ(;+y4NUP=wD0oz4s5
zO$HsvO{XEOZ&I&wBZH&g>MFD116zQ%-NdRCx+lH#{6Oq3BZv$%sJYS_P<>O*c2zi<
zqC8(p@HltcS(#NuP9Ex!hlE?j{7O@~S8(qW*<|5J5nLZrQ)zgl{{SjXT(EKwrBDKY
zaZ^de!m_JX{uH`;roFD^ZtYKRK!TBtG3Oc(r%CUn#9$yAr0%4gdnk<itJtimio;^5
zwt3p6%fxmV6Wc1ok9CX|s|x}5g;2w9AvliyQny&b^&j%RNBphMnP^)q;acxb%B@!6
zl{SRl>B|~Ur}SAX7*ODix|9%TjHyQT;!~2;LxIryEbgAi`Xj1$l(~jN4MI^XIs&Jv
z0H)|vg}xWEg?mDsinr<-M?`7Ix-I&VMKjCc$@?mq-4oR7cTX<rdTZ~eZ!xL2Wd!`$
z3JK7=%RftZL9N5jSX1IiDWTY;I;S;_0FBBUt8V2^X!=5BIF~O6YG|-!s|ZIxo~k&V
z^)jJ3g+rSw#cl~sdvfrf-C=lbbiGA4^Yv5Ls+V+L4-OEh=3iL%S5z?2ox|`(&^K~5
zV3zfBmEVcx?7T;bXGa7DY{<z~I4Y-@Wxr+MRsIu?5a9Za=?d-zjiW<rg7LVHBgA<9
z#Q^HU;$j9@6dCDpyeHHG_*D2>bi*$(a%;G{&Z<9P!W7v7of^24`-Q52{?LUkCCwEF
zy19;FANL?RLkC9Xc)Uvp;oIp5xHL7a5YUZh<@F4yc$>bGub~Zj{{W}5mS0SJY`iWx
zxIa?y8xIc3b)wVVNt46Rtv0nEh|++p!qN6vd?B`06#CiKtH<F#H|iTBP2k8;(ORS<
zD;s%O?un!<=o4MK6{?R5hU!Xn9vhqu$|g`0$%PKfl=@aOSMB#w=Sc_{<Qt>I@Y!hJ
z3qGaI%TR2ED%_{Kmca!~@8yK$0OnJ4-^=d16~XblxO&QO65O<u<qj6k$g_0|I!DXO
zo}Ovae2`ELLCrY|$dI{_1Sh)Ch+fME;Jv)w6SgbaN-?&XQQ2BkhhB@qJB?vTKoknj
z%IatxlWGNo4^%3*LaF(stt#P6k=;&*^d8FAoPL()m}pfz10&rrwg*%S`h-vIUkj83
zLz^!szN@j&Dt;d*0Xm~Z^iDIFKux*bS~C9X*N7@wdMBf)P~s7nZl$idK?r`wZmRY|
zjW6V@Mrxj_O1TCxHxf=(6Kr+7Ip`PSxc*v0FnXcFe@|;EFm*wkU<R9v2P%}yL2a@M
zqz6>aDu=0_ud)tl!-6$);nhyzxNq`__^$h}61{G2p&D+f$XFF>4Y}pZhvKv2?ljp_
zqtVp_uTw~1!hLE~i>cihRQzTZ)atHnAm{t2Y&X~{JPk8}>R8R2DXIuyPHz)fvZ?fx
zTUoz|;f~G-ehl8%{Uf4h4Qt#Sb19|RFpV0_1Uq86+v4zb9sUBkm83W?3BZB$m1~T*
zy2F!N^U6>Yf`^FE*Y`p6&CORYbtg<~od>p(feMvs;^5z<HI$ktQXL0X;&myMsr^ZW
z{$iC2ZdI1yVXDe8c}3M5bgS9QRy|=`Qw~9<rO>WElzfFam2vKbEs>loA1}In9m`s(
zQ$B{Oj@}AuSkFqkZ`5t%xa<(95eJogHz=#Ng{a-SwW~gQZV9eMp-Dw!P)6Z3-%^9D
zPMq4@z`PeijV*S_gSsU%%}$j%MchTa<o8whS8#1L9@uNh**L}ygUxS6kC6cupU{NS
z<QX9fRJ!g^G~41B%5i%OT!^L%Y4s&IGbC(EW&Z#X$9t9V1oT0T#BQH1<|qdplq<fV
zsx%pd=f+g~>hE=X+i~|sn5Nbr?N`%rb3M?L&YT=f^o3HG-cWR9-PHF}lqpl{gQ8vT
zq=X>C6!@RZ9+YUDH3yDZD}|wfO@tF_WhQe}a1Dh{nfg&_^teG)csG3~mQzO*>n%aN
zCkObK{^b`lg=b;9Ee>;>?c7wpn@IvPj8SBLld8uf8!5a)FwzrF${sz@=cp&KUJH4L
zcW<WH?yFaKC}_f|#ntt_HqtLW3Uez`&+Y*i@aE?9h4_9e;!)ZvWj~1F4>{<1BUSAZ
z->J*QYlE5Wolc!lTodS3ZSo>YG;2xVo_9SJ?S}`BM-9R}ClKCYu~7&g@S5g&*E`^j
z%EC=TnmQ~rAkZ>aRi&YH)7cbQvJ-(&nn708-=Y|jc1_|cx9o{NNa(ptl_dZI8~*?b
zTacuB*EPVXx>LdO8AJpEY_&lPuvl?Y$CO;x845b9p6f#9s9`>XJq{gL7fL$eRA|9>
zbX;81a<qP*3p=fmF@-xVr4HSS=NVk8=I*ksO)Ty5qqdn`x&<R*y^0Ea&Crvw73rq9
zZi=`mIycSNP>;8oRQ!v(eu=50$qFg@m&A5as6nu=3Y@Y64W{Fhx+0^p6Bs#!N~r5%
zSGxC7SBBBQRN~kCM<@MA+#t`A71E8_lx@J2!Z%eHhW*CNn`PmR$`603djuH64GEz}
z)qaw^3ghE3L_^c7Rd+u`{xa*F+*+iq(<{@dVHhfFIMsK$wY2;({j1gfRHEnXgX!g^
zRcQR$ysQZD97ipB4wz1;>{DJPH6vR|fK?_id>^TNGcnOTyg>=vJyO?Ke|6$;C!4Dk
zYQNMe0nt?A4NrsFJBOpoL~i8zd?T-<cPqwg$urEPIv&xK>J?k@Bb2BA08HZ?d@1CW
zcpnq#Db(r+s>2_`_<zc8LW?QqxkgO6Q>ZpVHiY7OX(3qka6#+tgUYg)z*yX=P41fs
zl&fac)>9Dy8@3wfWJNSfjD-PniB~n!&czl}V7**jYPf~8Duc>b@|uFml_~gF5hhbW
zfVv<PY9C9GH1M+gEB^pVydc(#iWV{&d#K#@T>LRn_+p5CGS%#?;tV|XSMc>DDcNqa
zpeb^NpO8ULZ?Zkqc?eD)wE^2hsZfnG)eQ>{#R5MltDBH=q#}>Xd%GteK2|)!c1AGY
z(KF3+H&I(PK9kuvw}_wZQufEX_>Q)Es$z{>iY{@PD7R&5gR-%hY7H6F3Mwh2_*>r8
z0TASQvWb4(5ol6?S9ez_cIei2(x<XC<CnS?dbbEruZn>OE9v61a*aB?wZd>1dsR*$
z^*%1vARYb!{{a23Sf0!O0NTORE1N8Gt-;aad^&YGn1>a{)bVP!{3><W{{RZO*tKxn
z6@EL!XRX=UcpN#rQxIWVGYE4)JFM^QuB%irpWLAFY;wDS;@d{K{{W{c)W4|GE&Y{x
zFBy{ReH_#%@oz7s(dBsb-N;wq_;1S|w<rb|gxvQ`uSe?jDpf<Ki}I=QLv`cQ9~z!o
zox$;DE7HIP4knoRjNKQ+JE{~|v!j{&Ig_e)2%jTaIaL^nZ7MmF1sV_CM{O!vFxIMc
zY3}0*gX&EWI!sC~m<Y5KN7Aiu<yTTNxxGp{DLedvh|ngXC(?suZk-);60nEaP^t#S
z2LOzOR3H`>etc~R3w$=Xz$G=@RBhF8{{Yme)w6}9(*Q0rji~qj9*ntHJS7^AVCq8f
z+eAL3#@i}iiK5D!OT?H~(xhK^(mE@u&~rb9Eq2H^i*3zUaE=YAQE8_mx-o!=`Bx2)
z_eB>uTsG06M9L?kj)zIt3kX#m6JNaQ=AYqsFZB0ce#oQps(hYh9$&hT(GNSFyr#?v
zR`R><i!5mW0JR?IPepV?QC!EB3vd<=k<nu0CQvVUg>4_q_FojE*drTz=^-`!7FUGd
zN(^e{{!?kTB%s=Z{2=P)-*heJV&yQu6+;|LcR)F(#u&4zsm9mkFWHDX%c?&N0UDfb
zVmmd9cZ1$k@O)YJWA<JT^$I1Q{YLDCMmQE7k9A($RBH(mgE;2BvT*pq;rOam*!qoh
z8xKWFrw>&A9=KI1RjN%k2@<%9taF5N2v7Vi7r%-*E_lMJTZwhmT=Vuvr@A~h^wHz-
z8yEBlKaS!bR-qd=WelJr-3HicIR60DX6yd|4gRD501-l`qM_)GJ`$r}!@F@&Q=t~r
z87@QmX9VKs3_0B)THJ%VRx@*i+BEw5iC=*aC7>p7^*Njl3aP`tV7-E+{a1zbPcR7A
zZdzF`l~MGXLmXmIamhVXUHlyw<F?LDALGfDaM?=^;SL^yXE{9;m^F^-mmN>1sa>ZQ
zD(?2cgzhrj4@%BlgY@TwTTGQMLlO>fvLO4fhH>wvG|5<5QRFg-)G(p}Q*v!Ed5|vk
zXf>$b*%F-Bw_=HG0-VvhyAq3P`n}g7$Fkq&T7iqL?x^@}v@@eqTK8E^H-e|dMIUtb
ze@}QVcIooTY2F&R&&E+cHBlEv%BLAajqxh}%7uU8kDx2@RWc(mj|=@$jXG4S^0bbM
zwJHu3DfeRKY=WkZM>0F1PmFEDX$jm<2T`HGdK_||J83^60t)0^-C9-?OO!At0>0YE
zk<9i^Vccp$eG!L_U{k17#X+G%%zQyIiKn)YJ(2l0x5+=GK6|HR-oT+`h*_N^s~WOY
zX&n~nrm&YF7|>nrt#ew{%To&D%(+4Vs!x!QsO-E~`ihqoYj;DzX_3_dR_kXnqKUbk
z%J3=Gx$E6yWNQjv6TX#R@5|xw3&nWdeoVDAKjG9pJ0jZ6ZAxw(74)Zw{+#W{>_NOc
z{7U>r8w!u(+RGZzaVn#!cy_p446Y`d2rl8y7Zq6Yyy8_lyhU0Dtxk7%kt>L!!m+*^
zdbKx!u6!;E`}{<BPwDUQ_(uAxBjL0)zgyka7Et(yy1wf|6;9z^aA=#QaMeMcT&lx|
z!_~W0`lSj~w^36SLh(3ywyKq@y6VTOr~Rt6QaKc-@YMu|Y*k<Bb&vc#V}~bjt;>jz
z<yVKQAdQiw)FUau55ATxj4TC(P_eSXx@}r49y7OD-B+UVIKrt&^eYLG*L2zq9WuO1
zn=3~s3R>YPwWUejLzq;5^09@!nNT$43S6M99O;xsfds+PRClt^bTFVHr0C|Jp;e;X
z6h+90$~20Zg&#H=B^Nt%Tr_jIs+O=d39XdSYpX{SZ0#$R&8oTR+T+zY@NY1BBmF!2
zj|6LQ`%ES`f#Ez7H*#<FD)c`WUaG4~j|eE%V{Qtq2Dnk<X*vk*oLDa&$g#oAdM-Uw
zt4g1cLvn&{7qa$Iy2DeEQReqY7(Pb4FBPU97I0So03hh}eoQ+nX#G2no)<0_PMJ_P
z(pNIV%H3H|%U3Ti@}~a)_g<+}b-&7%Ib(f!wqD3H>1qR`RgCnhnSVq^TJG!jJ7nMl
zJg*(Cbwkyt)N5^bZ9?MdpZc80wYYf7o2@9h)cisFnwv_iyh>d``c?GEa~<@ian|^}
zB}2^9n-hPha0c%l3*WpdZQ=O$9AsR$pXrxg%B=qYb>M7V<xhxz5oI&btUtx2Q`Ln}
zgy2AZH|C{MHuhGCWh!HS=+dN1S+%X|u5j?d?zyY;D+{`+pq#%DnJQyt<8aRKYM)YP
zfcWAEt>qTc^wZtl$}KAT94n0MWld)IOq`y}!l%yjxly3vX%CM}GMWkh0Ewf@^v*Jq
ze(K^d<ni?MK~|!6+$hj~<Z4pevLYdLG-_ekPVkJ;ISaZIzRU3p9FJexw!l{%kZBO6
zK~TdDUg#2n-D61}t#(mvQBCH8O1kM;SVWx!?0`Eb5z$nX+e!~3nLtCzDz_Ieb$oLm
z;n(L|Oi4~0b=UhVxE>@s`%3X$Oqy$zZ=)(<*5@hQS0BTU8l5~|FozfYC;FF&-~6&>
zP~$(SP&BEXk8~<<^?{$JQEh5q%5`1~(Y>hfAJnK_Ky1<#ZXfzT0%`F)K>XR8La$x?
zcl<>+NeorLr&f6JskpEc)jNpc$Hs4D=2RTvLibyF@A}-0cVv^JUAmHaQL#Lo^pmc0
z=4tY^NXN-KJs*=JbuRrmKPblQD;ncSD+_fCa;9>!SF1yylw)*jA5)c`U8ILVYPGE9
z9aM$|cFsZ6zz;jZA~~JEk-TjWRV~2Wrq*E@9Kl~!r-s11Az7w+IHSaHF5hw8cvZ*4
zor*KfPN2`Ss5~)Q?mLzL0EmB2E;PnpO@B}0>2k}Wpj;OZ^t&pXayWV-(mE9W8^CK1
zM=Jz0Zc6+&4?Y+%4eFa$h#oCxWCD+h@ZaqUDIRXc8m}NUcU-gK?Fxf-Tj^Ku{I5Hv
zwx2axpZur(F^1OXC^CaB3Jlb%`&y;kECn}sXZwn|ggkp99qD!<OL4>2c6%pNd=@>j
z3ad&sI7Z~snBmt7dL1o06>jv^!(|^yL5|HHiLYi_R^TVoE)y74ICp&|S`?f#A}~sK
zMyp2aDiP0<-2eh>o`s?mqE!sWP@T0pNl@L>o+eX+`l0sHN*+uqb;d~DT%Sy$4^NvL
zD}${)!Y->wR$=bH5XX2`Tq4OvjaYLP^sv&s*6NoGO_b*@Dwp(51);n>A<jqCnQ$%P
zDH(L^sL}qK1Gq|9A&RdWYrBPQAEo@VpG%3N=e3ye072B896gbS2G#DI;M;IOD~zxG
zLbI=|cj&5d{{YkYr_ykFaeqZqf$>FJw7E~Ze-ll+_E4n!fKQ<cV=`?~3A8BT7H(86
z*7AlH{#aXR$n$K6%61X|06`xr7FIm7Ft<|dAWN6S-AO;f?c@=#(UiIb){cQ%5Cd|&
z8hdqE(z_3Ac{YWVM0+Q3KhycBJJ(5Y)FISMjzLuKBv!Z9)EUGd#BgpnC!#!041Od^
ztHRcA!V2e*&dKaN%y8XQ;f5&}$Xp;9HUPM4Q4Vmpm1m0ARZOQxCCQbl4~*cvDrWvC
zq;x^<6)V?&(y7;}!o1_s71d3YhtQc`qa4}|+wPjsFg@3-f9_b9e<{JjdO~*)U3ER!
z!}OGVO08{9%B5g-9H+XeUHg*@B@z!XLWO7i5}8(>Sma#6@oD5I(0TZ@u?z7PxM9Qz
z+^_jT!&UlR6{lqZL&wCXihEvmUJYzHZTzS!d@l}pRw^O!O7V{|MC^?_xmI@4eDH!2
zx5BiQgDonR<EjdDaw)-FgrO^KFr?|WfpHZ70F~h|Noj>7LyygXGPdSW?UyOS29dSO
z&Lf;Ab3;&Lgw$UN*0~qZad1yORT5l!r*J$4J1f7|<xhnbT~mht0ICl_ss8{*{+#I(
z4uwy{;XfAh`QR`7NBSjbZ>p~fRe|B0OLuB@I?a-d381)d>3`B2YuwR&z1RLJTDOGf
zeGcl4Dy_H?lx-gj<SFa&3wn;KUHMe=1rpCnzD312jmnmVCFAV7m9pPM=4kUm2zi8<
zSk8rjZ~lVR(ew9NSU?8zE?i3Ie6MwZ<+(Y>pj9ioq0!Q$FYYU4-c=ac*gBR|Z{jMB
zj6l<%+CcvGC&GWQ2o5KLdt>TqwUuD*SXalQ+lQshNBU(tl*1Z19Q4=!08`>TU=AtM
z!lGMLcohtIW1{it4p$FQO#C#!?7soV%X1BtM~i5{!CWYReyPp|(-yW9IJVytGF3BI
znZu$Dr<(5NXzafg#c?<BkIlf~Dz&I_4Rhv2!zkCQ{{R!l+Pr`2bwiBEqQ&9=08ZgQ
z4M2TW5j;=zBF|<O4gRH6yZ-fcE;8nhj_R#&@VKUWf$Fomtv|w}L63?cL@XY<U|im+
zok6p|*&Z3&v#NqH>>*Bm6=TtH6bZo>1rGWQBEorxR3~H$NajwC>h^+%7fi#|m4vJ4
znO44KZ=C`u=c?UcDJoX$d}+$kS33yuWp1w<rqkXsn>bOa3P4+G7TOOp$M&kv-Par|
zj^8XM(xTaMQg~x<>YU0=vCaL#I-PnX5%n%yl_2Fy(_ck^F~3S<_^LQPkhZ8}yA>^S
zYB$*tR*=edUJcRgst*jd>=$=jPZw3~e;DJ-D!ooFhmF8J{jm%2U(n}<4<8Y|7vkyF
zwy`o$p~N2#h!_O@OT(-K<#C*Gr{Xz+;L^Vt!dCn#;h&mnj|rBNGF(&L0`}}v>9}pt
zK=c0q|HJ?(5C8)J0s;a80{{a70RRI40003IAu&Nw5MgnFAd#UkvBA;dK=ASZ+5iXv
z0RRC%AzL1f2B@N&6Rd^{<G|e_<Ypa;K;iGn1he2+ehg?mW|7c)I2Qi^1j8EeNXL<^
ziNm;UeTjTmf^fF}a2ul8qA_0@k7CM%@Hc_SqGZ@(mywBNSP2kzH<K}dh9v}qDF=*u
z5}HJZ<7iM$6|qbanL&!^k()eU!3NP}VDOww*_k?EO9lt%v^8_%P~0L2dMQ{7l3GJU
z@{tM(Cz5$Rm?D`JFk_L(D46w`c%ZQGzk(%N_8{3jSlBK~U?;zY5SZ<am}la&BH;-Q
z22zN-W+AAESn=eIG1-e9nZ|J*apI@50Q^~YG-4E<6~M^EH99wGmN7E1_9HV)l+WQq
z1V~KBGr3D*ei<43oQQg8BWD7JBgR`CnAtJxNH<TD)KrQ36f(>-L}Laf(7YLhnqXFh
ztf3*2DEtUr3~q_u2sVdAHj7agv9B8)Y(HSo>{kfXV!{*TbA}+4NYRL<B33LA@DsiY
zJeUcSfnZ)1_%I7(6wC{+2crgPVQk3NGTxVgq$++jQAktplhA{}nB?>o2}YV043G2~
zdW{j%9vC806?x!TMlOdJ8$L*a6Ad-+`uJHP2((1|@JM86rHmY82I9gCK6_)0nW7Vz
z8@4nbQaUn7sBZiT6B$@K4GGrF3KS+;GK4|KO=!&pj1yqcULt&@X~-pO#Oe}li&`Df
z*fL7cL!pfHT@leQ4Wha6#X53E28@$qlGw#s88(=j6&Ars4n>_Uk_(c@a3R4>=y9U~
zw%MJ<9ff93BT1EHF9na1+>2whUKQFlUM0_x$m1qMPKcgzW|)PdQ^p~f@YP074ODxG
zqa=sW?>Z2x6gTi7^X_34+zYU>MNLtnM}aa!A>uq&iZ2wQ)^LQ8J(RLOgI-Rr#-`$-
z1&xb>+xe|Q>5t)PEstW@?}cNdsF$%1D1iJT)(VlCM6}3kC_+|^AB~NKsEAZywR7N>
z2xM&hDPW!;h<Lmd;Frb=19)PC#AIOnYvp?}_E_9DVm1(CGs%#I7pV6q9B^P>LPRXc
zj1}O=1Vhf7nnR)r-831(vnAnB;R%msT#ra5&m!ePSW{y`XNR<K@b)S^8IzGY@Epts
zM#Y{udm#%O$-D~@*PnT8CR+?_Q;}A@7Wp+YN`<cgl1V`fSR3#(1V~v!0lVPIMv&?g
zV{FLzf+k%rgCXIMN%*uf8LtMv2FCap1||pW(Ukc};tQIJ@3IiXO;Dua5ss2=l??=`
ziP14s!3_<g58?@tZ-w$?g&2H|Xh}?v)1-`K$FNS6G(ga{Sr1{Rhe8UmPXu#jMuZ{3
z5a`6Cf+q4x96=21DLo5q7vN#Cqw?{fn4z(FBSNL*&~*+IRJa~CQr5gM*rrgE*fkKc
zh+rjT;t3iLZDg4fuN>z?Mldd(8W~zD>mm%99FHSN8itbWB}icpk!F~gmLlZ!C66&z
zf-P)Ju_p2tKLkXUP^iI}Xn_f+Ow(XXz~!NdSF=L)9<dpN7GPA{3Tq;i$5B&bVwCKi
zk15pPl3GJ%r6!Ul1e?IqML`^kv5=}{(#L_JD!v9{Vlm9e{0YJ#D9b3(kv$Nc<Z76B
zxik_ebrlT=7XZIu=*z+uMZ<w2@Rz8}x}(rHny_q$i3y311jvYpmc#JFLC}-&Xg!TX
z1>tKJjEPx;8>K`~0c2WGYLKDP*U<3B8R#-WLKD6e4SgGISRKbVz>CD+qQ3~-ayBs;
z77R?pkf}ls0Wv=w4+u_~GZGWSLr-VGYr=LgFoi}A42I?p#Ubij0+P`W0z&}=8yN%l
zFcYs{5+Gk-dZ3;P*dcOJ3S@d|=f9kq872kn<d?z5c#veHK0I5Z?tEwHCQy)ODAR&5
zmk@xmye34Kgb9g@ctS~)NNgc`c&w)Ud=0@2qVSw>KY=MxSHP`U@wyWR(3SXAmB{xB
zigH33G58Wuvp{JR227eUMG_h^5_VzMMB5r1iam>d7mOm!AlV1uBuo#O#Ep~a9(ypq
zG$Ely;+NVpL)eOJf=4AOXTwz(4GY5@2$>tGSnw?T+Y8A2Y$SBRB=WGuUKJ7#f#EzM
zA(RL_!6;Z@XJtH5Jc><|J{uHEk!kKH8c0fo6TyI$L;L||OGYWU^cbQHn_{j@g8;&H
z3`5AV;7<XPYK<DA6TJyVEsdNBMqtP<5y+lH{3)^?;&fOpOl)I^*fSD8HfU+%A%P8G
zf`-t9(6RW)g5;SN9&1NwnUsXa{4E>EaG_<kKQa(SQ^o;25(p=ciL~@5dlG||V~|{s
zgGOq84hC*`b>nW9;6l&g+7ydt2Oo(C!^ph73XvuwL?DoY@JNFElMRnQ9y7q59*)Bb
z1n8I&X$XY%;Xe-<7;gg`*qEqV#n+LigrS?WDH8HEJ@{`0H^~l5;X@uq-H==0*v8S4
z*@lL5lOvc&A&{9C#o??8_e4oF*#UwWF)&BjW;0_?1ge;=_$`kJLWWB6DrS&P4jc?h
zsKd`C;Djz{sHIp1tdwcOG9XEz`3%EoeuUu!&Ajk!nfaa=u%b!O(ZEk;N^4-AYsC%Z
zeL5~lk>o{k5v8$kDARnFL7<ij>_SJh(U5o+d?V;h<j}GjFA9aHqHc}k=>+9#Yr$YQ
zQE>;fgScdnn(<H3eR!H~sTh_BTI6_LkWCFt3j}aB;F}LbCyQg+G<2{x1$zl>crsE7
zi5Rjh3Kj*1*;{{tO=N5c)4_UpY+ecErh^Q4L-C#q1R9Ese0Vic4)!uaqk|D-)_7_Q
zCL_t9{1O)UxFe*<*1s80(fJ$2_-dFjy2X%?QmMi*6Xb$;y%5$!&w)m1{s<)eN+GwC
z0kF0qG;8BV$x*1c_*(d7Opws9hSR|C#=%M95a?A=WeWkX0#P1aO}wu|@WiAvJqGy>
zcw6zWjiiF`^k!jrqh=%Elvu#jM&qfPU%`do@<QT@@M?+FYsQR&U~Y{PiWz|H2=*2R
ztHcr^fO!yMh{xg3^d+J6Bv5iR7_#{gd1Wa~I6fn0UWH6919%u%F+?6HK4@YQJ3fHR
z%!L~Zl0OZSWY~&E%4P-@^e~%y7vZOdC1b+yh#`SWpwUQ~3Nli@7en$gjo%iGIHAyF
zyglATl4d#@Y`HYSc?9PCJq&yeFAPK{7}W_oehGXs4Uwh@nDMdfX~470@nG^QXyh*m
zHg85~BcmKfBYG)6W_!qpUdEE(Q=z=PRA^TukQbv6nD9~&4b2ssK`6Xau=pY|gJWq8
zP}#Dva(+A+e3WKuybRc)P?Xk$&4ltcB@)YoY=I|^-bCbJX~1(c0;cq6RyBh`;4ox2
zUKdba&}uXCqf<nDk5G}fh!kvN12#aa*vrQ#gbYY?LoX5(Q=!E4a7u6`;}CP9K$+-X
z!>6%BnHOdVM-$*sbS_3GOp6A=HH*leIw)xwoEcOx5h(20g9jvIQ+ULbXCt1614jp<
z(r`T9T^JOmN5JqG3kFM^mH1ZQgKH*J6vbn~pW#SN;klu)UIg$q--Pl*5p+jF87J8B
z6H&w`b}`7#7Anj%HQ3`Ownt;ZOr|Xm>K4N|Dwezyqwt@N1iWuiD5X{~U~G6pW!xEP
zWj0qulS9~?8CNOc=x$t$RzGI7kw1YhxFRkF!91J{qGbrs#As{6#C@6#j;hF}$fhcn
zjF804_v23@jfPAP(l8iMADi9{DZ!!j<Lrc1Tj;B?<(fkl#+iX*VjDR%Df*1l!S)pd
z%Z!Y6I?<sM*#Xc@DW3@-b9d-zHhqI8hUyxb7Cb_(<X!>`Ln!@}8idLzzXbE((~+-=
zDiL*#1bB(~m>6+#Cp012QZktn8_``9$d*VYd>nQ+Aq=t~qU2&5Ady@soEv4qa#lW8
z8#LtxuO1wT;vpwu7a{kDgl{H%Vub4w9pp)s<h~NgGAuIWxE2hEj>b3_22G(<*%jcN
zMP4Ej@WM{SMSxl~8KW>4Iq{}7&x1b=MGwln6s`=SjZY0zcoZ2tcoB~by$L-F2t%4o
z(_>f@hD>;vGjR~ofhUBdTqL|0b{o){9XNbSMu`H~hvG3D3FeMG55i5B_<W6(5a5^=
zp~V~U_vZX5v_zgT@m_{zNTiJ5F$3IMAB9GgLPxTzDLWDV2u~gbv9(HwXl5-AMsoA1
zq7ZrE8hM_@sABvI>K?@KI~E!gNW2>hMHonGWG+q)L^B}pG+rLZNRXOnydc6U5)COK
z!3p8EgqsoLqiQUVXG77cp;((C@(AO?c_r{-D4sltOy|LQtk}j3U6?jfLN;uQ0^$*z
zggH1ZBoNXQCM=Le<1n)Tur@xk?)bQc7G=oAvC!5bt(;L1I4!}YjEbj}I^a$tA)zru
zn?)OV;CF-Q$+p<%yBZGx;i4WNXv<KXVe)O@TcWcDJ6iC$AyJHp(Aiv@gz1RerNEoi
zIVEg^Y;s2QT?ERB+N2V(OOg3DBaquJ#z%87SmbbWcy1W%d5k_|2~sJ^UqVnqtn95e
zY2}Zi*J6sSi&?>)7FNlV1ZCh|6x?I{Bn}jW>~YA%rzJ>%LUf2VNK6^<PoT2e=y+5#
zDr$}6M{WtZ4uyn2hrmZ*L4gZUuu$GsJSd-obT^KLOW20QITY|T(d@~Kw6R9F6@wTy
z85TB-X3?2Sn=7)^B?OU$8(u!ay485FQTq{aFdHv}R7wRIvW^Kk&x`23j%cvP;g<pn
zEZTT|1osSvpJK|<!SNEd>0$6EVHY_XZaie*s>{*-un=IOxgm_wv?Rk4rU=YTC?T+i
zT%QuQl`EMVA-OYm<3{kHTJY`QaRYq}TkxC;d>A5C8o`23pvh>bzZ@KlY_<p{4g~To
zAu`~|$R&~aBB{SLykCOYgmw;GF)d;+3nn+85SNK&^9CaeMX=NpU=!p7FqTV*Ss2{#
z#3+Uv8?uJ@FwYNYdq%u0JPn@)7#dx{q!s2PAjAtzsk9N-fx>J9dB%%Jfh_`q1kAJL
zL2xya45bZt6>)-#M4}~ukC51a)px@|lkvC1k0&HN_}iilcu@qY{YL4FDEuSfhp`PA
z2_J@NUNK@0+yq!mHo}uEje(%D!tgB!ZVfg_XpF|#mboO&1q=x&--uU*<|HXfHcBoH
zgcLQBiz6YDE_^9(m1{(a!1VCwI_1F<u?RlyM>JqhVr0WCu@Kyju~9-B8>3GpKgWjJ
zSQ1Ylr5Si)jOXxUgD0b(4P;4lWs@)sk@6ldhQwY9-;bjeqPrUDiG4;DP<2*N*vgRN
z3u=p5--ts47?^n#Ok4}~H^8i>Jq&p&UI8IlgBOerE`{<R)Kh7dYWgCnR)kS1jD}tG
zigiU>8MHSdg{`|EyD5?8vNT*_@;!J=<U^CexQA`*?a0pW2Lo@htQetWuzNNfJh7m?
z3%e3#EP|lGq)Nng({M^iY3O>&c5y?RJrc3=zpTFN;R#`CrbsO`Uc-0uNvYw7Vt776
z%ltaXNq&4fqECKC(KPuHfAk<fp`Smnt%JyC(9!F|F<A}^Jc$<v9tbCcpA9&nktR5_
z!gppS1;CH55gZgx1DIIk$_9F&@>6aj8*?WDEW2>Y<eDm2FdJO0i>K)LWYH#&+!T6X
z@Lgc5Zbq)o14K1KE=(!eD$sh!m!lM&y@@7Py$u*D*_OQuB=Af%?1hU)sYdcS3VnyF
zdR_{WQ2xnSn);GW)JDS%qH{4P%xIE^Q4Gw4+^_7awWCQp?8BEE48f<PA+K8-S3QjD
z1w*V4St}L%ETkk$FMb81<U#F;q{an8UmOCOeUNx27{^&I^m0~8V`gr}kHO&Hi~`t%
zZH}gJGDd_XM2Cd(L!1chUtuY%#>c{uaP!d5WN;8|i2hPV;?Y+8Iw^C(7L79@!LMR7
zSn@5+bQ@VzxP1$5MsUPC8E+^<a6y($oxu2+m0B__o-jQGDyHH=qZJxAs9Xwp{Di?T
zV>78g)JjTGYr(}fe2jdq43ZOF;6u|AY^EWEi<8i20v<tJUky!*CfE{|SiZ!$Q&B@?
zX@v4q(Ho?NeN6znc_Ci17t*4C(<jaNIDfznm67FW!q`L12TdKrhW11sW<K~uXCi6Q
zE<}vQ8D?gm=$b$BI747*q#-i+c*eIWcXuLM!x|}x7#ZM7k41QU879!Ck_(hIWXMvC
z$|^J)!LZ@zX%tO;3Pd5r6y_j}p;JTB8*GMaqBKDZoZ=0>P?_j_N*XI0VmLZ*`4W(k
zL8Be<z~q?nJ8NaZ$_8%l6k%a>J8ec|P;8HZxeNf4SZrew!S=_ABs7J)^goP^!Cts>
z$^w!RW~VU5)ea1FDzaHLUKylDk?hZ%TFz)MsuHwxO;}-?WMjrVZv#CeH1b(4L)X6w
z_W5|aN$Xmv2-MXeZyzIdU5LrD;CPbXLwd{u@wEvlNvF%e0G`^=Y_?IoMHg1!TTHE(
zi0$z<Mi|g!)*5?09ui^TWMJ?&#he3RWgDg><Z8qv7I0AG=u<m}=!`*}nq?AGfwqCS
zbAm08bF-E^$%RI&n4&8k8VO`+kH+3iT84QJ+9UMSMRCCCWq3S|vsyMGJK@W~ZM}`F
zj%%#gTdQ}XSm}YxJ*Em|J8NczQQ{;$@pv3Q+gQP^L^U&v>4w-r)&Za>Cs6+YG0#(O
z5O#=UnUHu68I}0tso5cpIIZkwvq(@|z>gv}0}*x+n(L!)k~jW?Hp{kf#-??NL5<kO
zZF*|K!N7pmNJW-yjHE8cTbR4Xigz+-bCcXxXg@(_!T2uxJ83bEEP5K5R2G~cPmxe(
z+*#;itnsEngWn->-zjqwD3Th%fLi<#ABPVDRZz+%M}W+c^$ZN1g<q3h8-SIVjBd68
zlhMsaw=%})?i9As9U@3bjFF=og8|YaEhy>+qeI#u2B}j~krxp$zK=iRKF{wt=en;e
zxVk4!&U5@|L>*VtkJK^;?g(gyyWtWo&CK^_m0ihF%r>!fn{Z|zqz9!Mg_~i@Y|D{D
zJj>JUcUFjzGQ99?>66->gSs%*j(0`nd_lY7`&$NyDi5H=@to)x-YB$Lz)ljk@ps>Q
zm}cH0QXkdYBlDtllL`q|usbmk(aBK~Aa|vw&90U+s4d+A@@9jM9!5+3uq3~nYh4|>
zJYIMQ`RWDU<9kSyWPrq~pzI?Fjw1;U4r)TRK=?b}sOjP^3r*{i0^|$H7`TvASAB}u
zmnCA~fbz^Mo+IIM871zj;KN&Pum-u2PGSBqyTkC?#dV6?5~T5i4<whlPy9njM?FoP
zu+bQE0@S}eZ^HLwz<^2_Z?zUwT^=L$Id#D%Xi}m~yX5KU9^pjuO7|1BzF3J3VbT4w
z?{!ZQVlx=6M+XS?^8-9$%y61lescD5I;SD~E-+5Nt<ehzFC&>Mnkl-9n+(AVL7RY_
z+1jcwzeigXb9Dx*9E-O*l&pcr7F%()-1qi-m<F7ED{dGE-64UQuO3}dKpMQ0XzPnQ
zM)iHAI^V;zGHJF%rkjM)uf~V*U3>Ld_!ilmDOX&;8c-WyHg3M1>o2*Re*WRxKFyjg
zhp$|e!s1Z$wuS-|*8Ym-5DzTvZct5<=#gadR`1C*V1YXudbFDRnW=^erza)8@{~Vn
z4u0VdhlkI!au8^m{V8_B^fl8R>@6VhSr|}7P;tNKliuR&{wyhR%(A4!d;1v^OZHi|
zscVTI_9VHFrQe-VJcRBKyGgq-$lZ@9{OR`!?}aiDUsvfhyG*`gG(fehUJ?cxAkF~n
z2QWT^YU(Drse`*~fcuX^7<(}}Gdf;$H!f$fyf<f1^IdQKU!$xj4y=@pa3rj&Y)GK-
z;l@SX@7Ij|WAv4DMy*a>yw==@)LUn#yDg!X4-u@?59N7ET*!Q}KVf|AbA22MNQ0>o
zrYLpPVKT?6b;<mhhWJ<y9s%VEOK}^H=QgGNVU}}zStt%6m}GE`Ci-NTZnc$I@-LpV
zq3!dJ3^gN6pal&`_qc9Nzmh)xCSk1?qaJ8j|98`PAvu`@*@VkPW^>&uTT<1hoEP55
zy76v)f03Izy=4qF-Xde%_NEDf=p;_ohCkr?P_rtQsd#=wlVNtreI00mZh^XL9}K56
zfJwZtp3SC;IXr#~r`kSawF^DwYs-ndM+$Et6YZ|Cv<-y!X!(mLie!IMfYhpaNUF*1
zPDRQsVaeCywLMFx){fLMv!i-`LCAA=n!f9Ewy~wUbRN{70{KN~ffvvsD8MdEn`h2Z
z;4Ipw%<lAizi-I$)XM$`e5`svpM*mZKpV*HKlPLW%*s=8uw|b!Gs-of9V9mREkH7g
zKcRmA(^hzeKU1Pwrg4+_EF@!3xM}JMvVtSw1IZ|`#3|<QCRas*deInjIo}8Bv)hoe
zI1{;Y<#4=+^R$IWb<=HF)XizKx|36JmKA#p7s2pZmX*xao5rCgw^cPk6Q~5^Ab$3F
zcD~#X0d0+-1YbP0bvY+qFJa45IvJ(}WXaZ6>CdDo5m)t0dN}hM(Iy#6+az85;=Cy0
zAmCsx_Q&oDqt@7?OrT$!0mj#dnyD(JAhA05Qqk2xgH**bnNZx_s!vt5UMEO^)%^Pa
z_WO{|O!k%gX?QiJAS-V-k$lm++j97cB%`LB$sbCwa$i<_?CEntZzt$lw1FnX@$CmJ
zFBHA@rskD5A^#CM9)(slXh5KATBTI&1GmZN;7>N??MK);^mOB;_Q|SZI^Ng0{raV2
zJ?_W1Ap_fCJ~aPPW(pH`KP)f&IVPwgx6fB963vfMJT{Q^Mn+irW<M0nQ3MyTZ#b}d
z<%$$Mh60xch4PGpoE{s4PZ7tXjT<bsJZfS!duy-xnA6u9AW}SQOArj*LCd$PDzaRv
zhflz!iFZ?^w2`~@)drB}8dXtyS<14<=Peo^FlZHhcH4zAdY3KTIUqmYe5-MJnx?4!
zbUw@lRsc}#Uk-Cxqcr$Zz~A?L)jAVc27l>dpRzE5vS?xJN0>{qRHmF?qYmpVizo$s
zFH=qP;0C>YLHoZz8GM}YDtUs^z#l{i%k*r_omv88v@T1d4A6javK4SDqAwNrkC5=6
ztpEXjQd2*~o5=6UCy`2+^L2;rYCL4K@`Mdf5yj^MmSKt$&7D%DZ-uYLCvwo^gn3~{
zmidbJ&nx;)g|#r$iA7Hysdd6vwlGE6%JF8}HaEp+#LWByWe`Q~bEeNsoS}3|j)Z>5
zv}%0rs($`=r`^`PL@u{kwgl!h-#=mVVZ*e3x&i+Xo=H5?!jzI8a2F`uRz<hdW`r5&
z8Th=xslk^4;&=~k0zb}?;P$cORIZToo*L7~^6s@KLX8&@9u%>GNGI~;(>uJXjaVnl
zU~;({DLlsDj?QdATvW)X{y<uK>Xp{bJ0hXzDs|&ZyUoJImkTz#{tAj_({QZj%4m1;
zMPh%ov7CJpu;6)*l=#P7zsGLf^ylv@-3YRh76eiS{xD=Kqc;&+ZM(tr-?4NZqkT_y
zqf+<H?fQ?J+#Nx2t25bTpeIMS?dTUWF<fBHZm@rL8~`YF2VZwuS6@LIh)E1an&?+l
z>iFM2U%Xq5ST5=Jdnl0h7A@tUN^q8jy#^J1y~DjJnb#D;QT?>AXLZBN1;nf8caXkv
z(vRVEx*XHw#cq1Jck`DJsSk(#n^T4*Q#}gpsz`mGnPgS1jUAOrw6-t9bT^8|Ej612
z3V4*zKT9HOnj#Yofwxv0yDiP0O}0*wP{rtmuyUQBw3cSoYi12*jveX#{0;`<+!2jt
zmZgH(Id3`}y%OZB*LEalX~aT*(w+nFEQTQ>!Qhl!3nBelx}DRbDX%;+V0UhYF=LdZ
zjphnifbVj=EUr_kNi^5+65+{BP$F{U;X**1*|1+6-D&euyzxZAhXch4eGivM#)9$E
zq5`V2-={sx7aXiZ3c$DTa=%K%WjzhUbw&lvlBNswWasIIbHQ;0<!z%8->5pHG85R+
z{1+a%r3@o$Ubg=X=Zmxa%i$DelD+h7kFWJk0<`$L;(h+etTG1NKBrefczX7KFN&a<
zC2WgNdd(I1y&#Z{Ov8t*gS~va+UJuM&Y@;rIsSa$M3lwCmte`CWPq5iZWx#K74kiB
zdB`x4qBIH`Pk((3jv*1X?@b53Q8*gsj<CggFav>G2fouMQv3lP%?;mMvIU1ZLAZrz
zvc)-hWwcjTE!}7Zkt=slC_@thMH)BIlR!;XA#)!8gexkFYR}~geZ=}gnb1Y`>#y-r
zb{lyCfn`;7tS#n;fg+a7y?sfU{7a}O6#DN=@&f%{dFy>-hYt3cI|b+m0J+nspz^T#
zFS+{p-a#ncu-pq}at54Rp%N&6rEx}eXA>@7-%N|lJji>mCim~HlQJ3C3({*XZ=@6J
zR85`K719-DVRC*&wGd4x>JY4_M_WIoj*}j!cc+kz-&#qT$NP`OC~^4`C1o;73qauM
zp3a-ufW<A#xdchLYA8!6^Y`YBtg5^h9=vWnM=%}_AG3GDW>VtN;mm%jNGP@;%R%n!
zvY92R&K<+vs}+?Xd8&nCKMdWQFmzkJ2knhIkcVEx-55)wJICot^W7ZcT~p6mw~aRl
zX`v66Pe#b<BJWO(mTam@eTh~p9mw(VpDA#ZUH^C+k<78tAOy*Lgz;>;j&&){2T>G<
zL|5Y!g1_>+#Bhv<#8hWbr50~nAs0<0eEJR+B(gq?aQGWEP}n$BH_r*|>gfkXzys$5
z!8y4YttV*YfJ#pWOUNGQ?%zvKTutA3OfYj^Oq=?3i@*I(4_L^a>!1!5sUBs>q?~wv
zYK1%bZT06z<b~SERnKb1Kfi&NCu$X03(V5yQJ4=?8%2w<>n0~m$$L8ESO#*1Jg?~#
zysV{G92fXt2_@*KyLJLO?>SO29fhVY{_4|Sz#f6=X008YOmz{L<BTxH_kE1&t_@=-
zS|-p+tx4*+ak1)woKcE+DZe34b4{|X3QXHwHJq1jWwVuFoJ{cx&KexVfeEX~t+L>Y
z&hK%!7u{bodDhM+kM(B>R5@&gfOZG4J~X+_iROdVjj%;+goX9bba(4M2{j6g=l)Tt
z{Lg%9ruRhWRdI;^{T|B^qSF5^3~4s<q2Mx;nV8FB|FY61nx^jN;hZ9F3jHO&WQ2d%
zK;{o9WhoY~g7{s(>X>ibl+2AG6hm%WEht8b2wiJ+*j{>N8<n5Eg=0&#dr>QjZnu*R
zm7!fisjCYalrPSfx;RvARRN@3UXVJ3)7rCvJVC$M>n2~v@%+Z;vv2#UFd0CyTJj`e
z7(B25Zlvp!XI=QfxG?h62Q^{7o1T9wtMhRJU;Xd;J_#iWwhRx#wj|0T1Oi|9<kVu*
zlAe*u>c-d3%eb%luY-s9H8I8rXud0DRhEFrc#eHnY3B=(iehVPh<<WzNR0r>U~Ti!
zbNOY39V{`Wt_=U^>=tf&*vLX@cRJNAPdWLbr=4Vx`o|*1mZ$vi=i+X2oUe-S^9&^1
zVsx)E`Y3h#?!5n^L$h4J#`lKvL_POYF4@WWkA6j^V!c&9iVDS}t?D<3Y}{+dk-z!N
zcT%-Pz%Ln$``92AU;%Vq($dQb0}(Z3J1!3T%nf8;Nfm#1!8<E`(T5@Jkf_ErP;4kP
zN#oDzUNHVTjgwsxNwHzHH^(Ikv!PqEPU{{($j8b;rMhCIMXYEKd2m!XR~3QPI>{LJ
z$(DQL!u7g$2Jw+pJQcC{2p30y>B;I8*pwP$8}KD}_~#tGz-jZxvis$lMdk<2rjOOL
z84+@zOQ1i!P~+_y2li(u$%2^o98*pvPq%Qfieuy<-6OH0Wp0-Vldd?4_bQls5_H#)
zYN7hS1sRf)m8It_gQ`FtZDAO$E^WMtBaU{rp`(<ZW+uWU{d5}gkSZLkLfKa`r*b1v
z{sgm0Nub*VRFRY{<-@VZXQ7q;vZifc0GLhG2j&I4X)SQ!paCI*=DxK4@?POQUO%G9
zE9~eC2={}Wqu%jnsv(<#J-qMo6o$A5Cl|^CEg0OYD`~(n?O^uk{Mo(~07|A*Svv}G
zyE(uaI;kC+UPV%M8ISEA_x%d%^2HaA^lROyuU+W1CfE}Q(*1=jf`s`)Uzj-H7gn|o
z3`xUh4#QTBq6*o1(2@+obzBg8P;tE$*J7<E2!e^DpvTgl_37Y@jngeBU_BuuUGM63
zbww56^=MQ8iboCp;OmGhZ0~O{H~w0BQJF%Pi-)l7qJ^sL(7Ib!KD_$5clCV^dwnBq
z4NwWN?$`jKsUDV|xh}!FR5Yk*tkqfIccj#8_Ljd9VoTB1{8&X`X2lM<;1pJ2w~|F!
zA)gHLAIeCZ?O(7l^C_PA`qW((DMf0h%d;a>fxu*L?a-Tt_8Kgbwbk~vgUNGT)3Oed
z{>`0JOFcHcvk&D=G<(B5<_u=lVUZ&YX6FZGb~pLbRINE1<-yk51`#{u&J_C_@*wNF
zi$j~8+R;`GDA)#$cETTQf+Sn9huJ6Qnv;f)@>*}^ASE$LU~#7NZG)*J^L-)8=?J<+
zZ$As4^GkS|y^?(Za40{uA^}s?=SctL{jf;2I>OpFqi>##i>EDP<p%jr)m;Fuuw?L|
zlzbt2IxZSWd>7;%$}%T~*G1km#P8KE^Hwy|R%gpDjCcF#Nv2MX28=FyG<Muqw6XdT
z&w3*~g6-jhMlQhk4RvAR-G`U-!-aalcX&W5psTHv`v%p829O9Q385Zco<mD*W9k20
zVBgPLp?$xLDDhRBtV$c_e4FE9Ge^`%w%?=QoITREdcchyh7~tyKz`m7s^&zUS4yir
z=*EXgKMJS*E<=LONkLFFzuRZt>ugp2<mqCKaH6F+>DVQb@hR!(?xgO6E>2^PwP*Nb
zMUFprvt}vGU4R;aryP$%@*?fya4*SqH(k};;=iLq-Nq)dQ%~G8qhbsx44zS{RCo#9
zEJSq{9dBQP?f!k-c<ZC;r^A`)Ns@KcsZb5`WXUJBsgSmG|LfZ}UIYWdYbf@eBl-B0
z%s6JofL{I4AH9Kq#n)%>Ka8TD73@B7h`0|Tr-CrWrB}7#d3GUHJE7_R78R{lPkN4;
zTr5qm^L_>r1Dc*d6O5#!YBKxeM3dn+Yu{GHNjy(;1BIFR;CC0Ow*2l5ySK=8MB!wh
z_3d%9WT5?kYEd!1^)o?hNbW&Nx{H#XcF=>`ZQ(LAj6FN&u&A05^TUJ4wh8jjcKb8X
zI~UZxML8DjXl1i&=O^?HIKs7>uJa%X?(4Ai4j!(IIt9)%QL)sLC6*xH<pYaf;_>Ln
zOK{)A0D5pSzG!BPWWPO_ZLEGeVq3(=$szlkq9Kt9k3{mV@njYj!G{eXwF_2^`J)@q
z^q&*Om02#=k9ANTYD)U~^D@#JzAxDrr~TdF96W46k=vTu%KF0bW2U_7S1k>4u3e4n
zvf;Cd(tj-Id(+c+R+}%JOB<}LpqRsEBjlvplXuqxAsm+a{2~K()NTeMe=`e~;QO7@
zNPN)~9FqUqr&YVrMn5Z_#fB=tM|;C{wf0(wXsV+8j^;YPul`1u!uH4Xoz;o)rK!N2
z+iCflq!JcKG2gY$(#sc>4vHZc5iM^6hY$--?o^NF<@vK2i?wq*O=0X7r?aw-Z-R`d
z2WmROjk33|4HOX9HV|iH^Zh}n9&x9UniS*NO-VeDoSPLYPMnwmNlUfz^YcE?1*d@D
zm&~VEXj~|$J+Q(p6MlHP7#4C<EBGu+r>lAj+V{MM_4pm>0MCOL=^N|}FJ^IFob0LF
z#n)h+P(Qn@kEUv~HEFsvR%}1n6O*%k9A)?DBZhlD%niz^kQpV`q${okN7wKRCN|;I
zk&4C#jXH`U_B;*#hD$b0#}eCH$*bP}m$Dycw0O*6Vi5{u_rS@EpAH*>&$tMY>1VtL
zSwSB0911*;Z)uG`IQX;xUwlTE-}$g-XohnnKo*icgbC1zUV}$_bFFPWm3gTfMqar>
z{Dsb5Z-X|)I(X7-#fuLWLNEMsXn6cNJ=du~GOB4YA)`OqpvoGL*yDdM=(?c0b*S?2
z2OEI#DRWbV64BjBdb>0e@5wz*G{3y`Mk+J$UhfJtR@{G#^mciMlkE%=nyAEpdhd2m
zf=$(h#*vIYbl(dJI`d$gEKWGO>BZwD!7_8-<WVP~*;WOKqUky<KNt;d_}7V+3fn<e
zcym@)%(wLGX7h>a7;`Yq6MCBQDGaT*8l~UPnO|6EBhebKRObYh1wU@W;m8f^L>T%{
zc;B^)cr#1kRDcQx|3>fY#@ehss7{;@Ny?2DD;5?nBXbMG|Ev+XC)NI(^eH&h&txO)
z#7Xh|74RDB@^lr6+gLYq$3pH*oE(NmM>~8;kFSLd`@Oygsxqk6482$f@75@&p1!6?
zO=brlDmM__doz?yeyR8)r^J@&OO8BVE_h{<{`_eBw3s>crM9+j|4buUny5Hm_{`)|
z@E<$sCdt?qTbJ?hMSy+l3TaHokoku9RyG<4?BrkguP<erxz3vO77`d^!2c+QNA)up
zlJI%#O-cpx+{N*eup{`2@uEb!rL^|-ce#atC;ZE__uZ48vKFJS081wJ9BZ;c@6s(7
zo88`KxrH42(|qGN`zy{gd8e&TMS4JkLvW^0%=N7Zt0e-np7LaeA5q3MnEJ7xahBZB
zA)9Q&j!^VSGJhwjBsdctXO#Pp^kD*Re5j-QUr>-+qN>Uk?gs7s{j81X5-j)Xyc(!g
z=R5i~UM8qC?iS+GB`Q`|`$XTsyRmUb!LjEF`qDR)k#yO?(pP&eG#-TIGmbZ>tF2C%
zx5|lI{DB@)!>wwQG%3sjJFGCe)mE=^P?)d>ugc?zS>5Raa;rir(az}#0DyA*4OdD5
zjs{-zby<|hUb6dUX@)#XVO7c=m1sQ~&y@Cneuw<xv)r4c-oxxZL(31&=`Tr;uUmtw
zJ9LeCO#6qwu-`m5qV{g(-f+btf^#cX(p8ZX#S?jFMRCMWN$jo(ry^q2q{o_@&H50@
zdy1c!+&p-rx9r;sUW~D-=5b85Ew;DyyYIb{dF9he=+>lZU(_Qq(=VTU*85!dbEcc<
zZ8WW(;D%7ln~G3=kKI;c^wzbs?Qlw!s(t0DYLsIJ_|Azy=$LeYmM#)&kz$ZD?O!sh
zI*5Gy5c8fZGi`%0Q|zHI%YLL-wptXn!a1ly@;M6ibF|=1=W7KjT0>*}GWnN`YW^gL
zS`xXb-K(}Scwk9nlI?G0#@apd&$f2~4ELCd2BFS}ICH5uJ^!E=#jEYFxL@k=<ora!
zlN<TgNP^&l_Ashb-Q}K*H}NWL3qWXc?%l<3)FUW+5-)GyW$}cmmb+G?@J45S*3UO6
z0kwPsE8Il~-ZxyVEK59>x2}J+pkxe8lhr`{hMBS+pDb^)%T>4NadRv*wY3#03LgeW
zTpGf%IK;D-Qj;O~mSKcvrUBvyyiO+uaQAf--*=T>a#m=Ywu7kC^sy@OXL^;&_&qLT
zaeXxo!SJj=!j;wt4u_|pM-8oC=mGN5ejLrClD@f+*vpHc7%z^E<orJjt7m*K#Rq4l
z6$)!ah)`33qoqMur6$v%1gz8W#_5NF!_@o)*{A7DgC!tP)+h}Al3Y{vRTViT!(Y8G
z&Qj9Ju3_`gd0J3JT{A=^oNjW7J3Bav|K*Qj#oIaS&O(goc;mJknG_a3nLB+z|5lO(
zSHr@DTlN9L))*{uoF#b!Zo)?onvI{74~<M`m7Y=Cxh=tzko1fVvo`^kYE@=(gi&bz
zD^`OrHqf+Kzy+a_u2)M$h7K+XwRm+sTCPjd<%ckb*I8QJJNSxCI%?K*3GDVacTK}4
z{$Gai<@(Z~j)~wE*-fSutJ$fAkT_q?&5XH^Uv~ZzC^^093gfs;gPtmzOEoH#JgX6C
zm!`UJN<EQfw{a8*k)?->5M`%I>VjA*>PV#BDGz)5A33#E<Szp+Npc#!Is9GBd(f;p
z-Xs(@AKq!tIMdxz9)+BdpO$FYx~|UAW>j!0{aQ0i$U7z%qgnq~beFz3{N&hyhPyjm
zQ!}@R3=NRfAePCwL;3leHB2GC8V?$2Tgi+}9BLoZF|eE<k7^L>Z7|DAOzL*Eg<Mp8
zz}EL3j!Y8)KC@++k}OOkG00*Hz7cHENn~nJ{IW29tRg-x`|<%m`>>pRWZcw~z|Z01
ze2B*r;84cV-io-GD9PftBiu-h=RJ=c50di6Yn%OHyyD1SBvg^bf(pXDexEy@>Gp9{
znPvOl^9<1AcT#y-qtVK94$<aJ=0uC<us%V)mqv=4-fWG}rM=RB!GJr3>#W(q>1$((
zSg%XpBo|m6&ZIel7O+axyE%ZV+Px&c<b3Pi>Y0+uu4Q6QgLaWl%dFBi1!F$=M}f4Y
zL<4nMX>9uSfMMK5a)!q9YKykT9s3YDxkU%_+a;H2H%8olL0&*oYL1mmerui@OK*;;
znI}~bfW8oezPkU-f8KOGE#`HWh82H%%PNS6qt&(QHDv91`4i2n@%1x)MG{SmGqwFa
z`LC~kQbPFsqq<>4u#dwu-9kwaYR-!!)1JFl(d}+K2^ReoV$Fw}Fa34(kHs0~y}z5w
zoM^2Gm-W1a&k3in)yF-@uKaD%5mOVh)Su8<SWf!i1v4^qP$^VqhW(?;Ye=!r)OZW>
z)%IanowO1}S&1#f_N%~h640SDTd-u}B1gfj&DHg+q^GQYN?zQ@V>s*mW=zGM9Hi&L
z^s-+$R^$_Pv7Es4Q=vy$va0c-R2P*g&B8BEuH3dE%UzZF{YZ=!Dgm2g6UZm=d)lV^
zj|M0)5pk~P&6%7BU_lof(C<s`c}D-{qAVA$z7HF-%1_}%G(MC@%2ShgQEgaD7uOz(
zY_-y$FoqYBa^CbiS5UID)L&#ggcCC3T@LDERbH7B+)UvDY_)Hk_$fXU+uh(i?aXVZ
z8!enjyFV+gRT}kqhDy3}%xVLNHKSkw_zTJhaRN$vv12T;C;Bz$zQuuUmNoEHoNr3p
zePO0y#bkEuxZPbp=ll>}KS(2ZT)<fd3rkVI8G-jM<nklGgCWhU3}A^@DFJ-_XGkD6
z08t~Hwm#J+w3+t)3Cd+J-Yi7fvPDN0F)?c2G|>y)O}{{US8hZy%9%jyX~1~N#i#T#
zj@&ulu7Q%vVGaM#BH8I8ISYn18b!vk<E~7w(g<8?7f3J#3>XY_X3O9lZL=A(3=u>r
z-rRMg$q(=^tf)T)7uW6mI?U{2*y!~yLWh^~k7mB?vG9_-Z$_x#!p^9tr}%J7X|B<p
z3T2-zY6cxqMXo+F6v$IGw7J8q&9{+|;h|v-Skm?(zJEr2XP4o98O!^K^iZl*V2-io
zpOj8!I-fZk_qLOD7eFaHtC1t`mr2Pgt4hpdSQg6v<fS@tExw7Rak?wl_@(iE+mc%#
z`;)h(2flFt=-*L=Mp21dvz$<!Az?nt*9ly1hp)LX{u#Uyp0(@)s}9#LNr?O50Y_?S
zf~oVXp1dIs{PXD@OaM)-|CT%e8{vd27j+t;(ut<cMfF(k%L0hS@MSw>&I>;-EQdfU
zLja#`zoq9_1<BuLH*21PuYK0yKT+BhyUP+5@(&%F%2S4=!ot2@l5}?z+r2U7U#TbR
zJiVc>7W8__Do$4PqV7#*^#h{|vaPq5B_tp<W!CW;vWoBh8%8Hot{Oyy>sy$5kagee
zmn$_>LeuuGay(gF8|JgaPjQF3_3plt_rS~~#ORFXFN$mBsi^8(DjYj%6l9}M8tT?P
z4$8V;DgggSaFu&@*~q#E_UwXDYGa{}Ao5$!C#!}xTc&p@y$`r|E{DJ9;Sqmp@9|&Q
zHH=q5%%IYv_$wBtoFRSUeY(=s`_SgwA*Z0IB(Zr_>}HJ82;gXBM7O{7v$v?*C##%H
zqNItP%V!Yg9q}NhQ`fV2l$VCR3CXWAix6SMmuCpsa1R(zBg~zUi^7m~!pk;#a)9S$
z^E07$lK#-_D$O9G=PC4)K~RK|L6d?`muwh!t2<f4x7)k`W=SO&c!({8n0O$xHN$ys
za4`<_`OQYGiHAH!aESoF{RS8X`6pj<y0dmD`L&1LscNH|IE%dFW}y%66u19rhb~HN
z^aBrPtFGdwyO-I;o%l*$$_F~1WScB&i}#i+(4z|;Q8Vwao^kP$VF=AE>FEtd3|aBo
z8N+6w$7Sme0IR;KZ7Jmmt_EgdWqc)A*7++RNP};qphKItcO}zXY+20VoO}yi!)#zu
zNJHn64-=C5^z4WVQmQCGN<;@esw-rbxCsJ(eJ%;I8v>(=f<VGl?CiLBkZkqws18$X
zMX3_gwcb01Hg0)+=+BwAAr!g&qmZ1;r8_$JM|pEE@^obhn!c83-*Z@Tic~Hh04<i0
z$?Z=Fh!^E@WDx3Fa0<vBWZ(5)B%Pp09n>eg>vK72C0+@bl4$3MS9=e;eQeOC#ndEy
zA}Ocb@`*uJKS>?jV!A0K12GoTsE<9dkXo)-{!rqA5^{%4AzpBQ81Fp9RQP+De_=i<
z@+y3(2z^y$koWN(!>?T|ApUK2Ua#(GriUA}@HS9af@dVRg`rX0FMpCA5PyS%G^B?0
zesni$7$8G>)I7dc(k9Hl#Tw~XXVCqb;YX%X9uKO(i^m33YL;7vRisEW3}Iu_kb#eI
z)BGQZs%>3!w73>+skm{bu=#_~{^M+8Ut*iHy>;eOV5%AgRNXZ(2U(&0)*_c#Olbo1
zT#0n6|6S-8bS!nS$q8j2G-Ac%EZ;-#zs=9|84cDnfSAo%X@<B>-4&+b1wzZr2IYpW
zm*UG^y)MVu!sgp3ioNhRkE}{Qz6Oj=os^v5Wkk#F2iw|Ji>B{VfRWM@pcm;7ix;Gw
z)|zl3nHTtt7Im>KucHjLfS05E9i+skpI9s&Zqn_Jmt`+lX$G%gibxLn0$4ilpPiFf
zYxbz-yAw?%l{~Zj|AzX?Pw-~nmEcw3n!}miN*hX!{2<#ZQVQsAB{jU);0tJ4G>=t*
zAMsKDLBHqZ09;DK=h8-X{@p(cT+H?9YD3;tgG=|q8sUjSbmf<R^1x`bk1zcB^8q0i
z<bhNB(~fD?$}f~!OXgUV&YGVUug{|{<Tm3I**k*VW{XW*s$r>F>2AXc>fy(th{qH8
z)g!(Z;ZBohEmJe!n<jPA))#oJDsb{2LX52kZI`i?rbrj=^5jO2iLwzm;R1#7_ia9c
zM%8ooI6T$~*cMw3kaB0ObfarDMuVNpibZpUtKoWz#!Y7e7G}ARNT0DK<IgdtA40&Y
zl;h%@mL9|E2$0hLD?}w$Ga+@Oxc+O`oI4+HD*eD_G2(W-#b4$8fW}BfV=Yhm^Rz~2
zPK8l`_M`MZD2aR|J%NW+0v62^`ln>#4C>aWn6x&Otl3|fd$7M&6m~)hiWhXoKD-F~
zo(|^!BEF)9T?yG2G$70_zONHy&*gBw4p?yq%~>-XT$KxQdquXpju4&U;TybUx2jqp
zr30#=%a<MA#`yA<3PPi_K8a?NGtXiS0)$0wKNe-F+c4NTMHh-t;@8rf^f{_~-MvI_
zn-`>s7*Yvt{SO}WG{i1SlYc8}{XW<Du14ksN*Pj*R0<pHR%n(0u17H0=h3{OC8k>g
z+f@`%8F80)iZRXhN|!<*-2JSMKH?CStDpX(xnqvSW(HU#c=O(6w*D|Fz5A6URktc0
zx7k=YxI4+f>zc@v4?GdYn_raRnYtw{%;o08qB&4;a#UQZfD?J(`A6!YUwDJTBadDf
z254HOJi_q#UniZ#NS7yxJl-2ZC1Bb&!KRDpZ_G5p|91g1xcJXKpXJ(jC89X}Oo}E_
zzF#>#f2;@8Vwidr6HK#QjTC2{?$TEXfDCX4ut%j_k~5speq-;ra&jdcy7`4EGn*y$
z>3n`w?<1}lk%<{^as)!q*?y-uQ&)Y#(au7xJV}j-S=Q|^hGR10_=4kQ#K0MwYfo_s
z{!9ouf--xas(p&B%CF@uiI)y~p%$g9iXJog9aQB29Vg&BjVv32^P{yNrq}fF^SJ}5
zj+fGzsymRy{N<T2(R?GJo&4Z~88vv4*m;T}A`!P-Sd(yoGRhq@vzt5)@^;SFyTz-)
zKd7tml2TAjFzF+aHCu}?VFeL@O<GMR?Y)T{ZOS;#4T|$;%zv-J-n2X{sigxoYgD`5
zPw+11l|}^%3^M-*kX^5SFi;{FXg9dQ`5|XIynPa*5A`^fX5>h)3NbytL$E+bNC!H!
z?hsZ4LFxpD%fgr3lr4<v_r<C@Fw32BxPxr&&vxcI-f?2`n#b3e@{Qg)94jjs7GO}n
zKz!yg+N28mrf(HXtw9g9Z~soGnzkKTK~A^6MPF*=-;!lDs!(qsRm*F37;<z{nXJnq
z8;h;pZCTKM7e|$bXa??Ll3N;+n0!b5{R*LRhUs=Ukkwd)T*(JMl44FDH%vniTvB@d
z7=@b!DZ0ewektm7$&WZ8oFjX6Wwp1V#eKZ=^E#P}nd!YKrDs{sM+sQV!{})Bu`Q*G
zkEB;hvHZ0rDa>kd<l4CFpAU=+T2J<cOIHFUKctkswpKQA<y)*`GbHNR&t!r&2I2lu
z$GWy`hdQ_XI0gtU#yeKm4oBD60I6vB1E5RpiS)~7XIe(!E!$;=F<dQD+L_JGceJ=>
zRFqket@yNe&2^*fO5fj~Y!;3PF72xoWtjrP^nQ=q@k^bODXdX}H?WXzCH=7n!3Je!
zQn>G+?gb?I-_8NJ*c(Pc$`k5%C!@6Y$nOJI)y0n9avh}G>C%*5TA;oR^PoEQ^{vLJ
z%LT>L+8Rv<g_F_qLXS{Vyk_sOmIud}9ucp;DHr=7$vMeL(0r5v_?g~^L8la;n>-oL
zU4q6>n2SZsw}%g1$+tt4PPIxMSf&(>dGM$cwKC8fIiSL|%;x?C2`Eo|BU@NGmXUje
zbLR=W^;T)uJ(;*^>C_|8om{GNR!uh)&Dw2c11Nu8I3!;7N91irVHKfyJb7J@S-N=*
zJZOfi9D)X#0NEG5W;#9L{nx0q<>-#nG+$ww))@4Q@DCPE$aI`I7eq@O8{^wK!UbAA
z3XhH`S)MArziXI(ZsoJ93(0mjES`MAdOnCQtU{e0N)MFVSL$J2@hT)oAzD{6^sbs#
zsII}+f;LM91Dpg)p1!UEDsLbI2GtLX`|h$!Zqzw1mNRf*q|%U-?&05o^<DN8ffA_Y
zFM#*;oNkZWM9rhAqUAQne#ID%^2#FiX6|(k_d!?=V*c2VIOR&?=>YZq7v`w+0d)0$
z7hdDe?}iX-gxY1l28Y~Ltn@3HDTWK9kSM8);khonb0kpVLNIzq->GWPc=5&@^FM_a
z*Rel)uMW23%<|+sTSL_ElUnCjJ48MTB}Q{4=}{V3;y6D(TmuPN{gx40b{#T^2wmLo
zWt;{v+{eP}O4$3Q&7U#4G>rP##LYA#!<=xTXbBcAsmFSCC1JYK=B!R5b{%08ZQc70
z(pRRYai+RwoG~Kh4x{3=r(Vpo9p$@5oV5)f@W#vry|^<I0}%qBTO6AIM84<6Yt($>
z%>rZO{5j*a$7c2|711~-4H0g{jX&BWNn0(KXG@rLpDC(k`N_+1frS4%(MdZGOI(*!
zY(B3Q1^l>%)zSaOqdFo4(v59gydR>#{mGw~zTl3?qrVkM%g3LA?#}Hh12pqg18!bs
z&hyq6G}7~j9T$GzGO<)K-XZ5SFXpJ@@|w+F!kibq<W&P@^Qbc3%x^FW>S}>%Ewq}n
z8a7T_dh0C4vgg1vt^ROYW+N835f~T5fqcOjoWPv_WyoLQn$Z_x>(G5eFkC*fg7sul
zx4zIn`Jy#fBbF(XVF7<Fh||4eL+J0=P2Px{{Vy#hB$!4{F~RJ&@LWepnDck?egDW3
zn}lsJ!E8I0VcCubS%}!0)ad)A(Nyh}C!A>8tXrQ<JaciKdUb!FB*L|*v*55~5Ewkw
zmyy$a$*pk?YCpA!ZT7Ce4?Ga6>Go(CJ@|&7eDEq;3t-|m7{qg@nf3)2e&2o5I_!>P
zz_Ff2GI0Q6WjwY`SfWnH-pOZmLfzzUdSjXC@y=}b!XD<yn>=Wx7VLv*=Rg$o*0Z1_
z_5WQEV4f>y2pt;hB8a0O?0G(7;-HVObmeE8&AIRrUYzgtL*nMLlG&<$@<)C_ENGEu
zy-%nsq<hwvWgUSsEQ{s_+7$uT$nI;3yNh>QIsz^ZZ1%pT90xT{uYr0>5kBR~|CvhJ
zn45-8PS=x(RIE28O@c?O(h!3Puw8*c&WxhPzoT+qjm(uqu+%+el_gnD{SAAChheU8
zW1)$VpHh{mQG4-lGpEk{u*rX<kAw4h#Aj@k!Dk4?chkANK^Bj<dbw%<da0RP<P(Y-
z@-K**mjZ6Fp%3c%aWa$GO8Pd6*Ms}HNMP}`5_&ZBnkgLm?!eN6X^ERqgu{2Ey^uwu
z>bdSWqLzBiQjvH}{hh=u=afv}WgU{Utml-WqR41)zoFugNDmBH%iSH~f|}(b=!Weo
z`s~=g0}aD+pAuQtUrL3($^CfDeV@b5&6uwTLdPLrWv_OB$ZFIl&7`B#?+1?y$3Lw=
znCP(FY235>R=?EQJDw)KRWiA%;g+H4#XE$A2Qimr2$?4>gC0-4UFa&mW1yx)PrA$F
zB$?U0VGA#$>ok-Pl(_8D?i~67TkoRiox~{pWimy-)%{RRHV-pBV<*mcjX$<rwV~0t
z|It&0tgljW5t-9;rOKJ^l7{W_94hKxmf1l3#ywQAQjEHL*DB87E$(WqCUHo^*9z1R
ze-fuMn9uPGzf`@{@PswY_mVf)7B_?0>p|;3#pAt;g+2SK&9g%OnDe|`KgeoF=xh2}
zECtc`ocUh4s_=qIQK|f)bhH;|@QorB`D=PIgzeJdez`ys%gFRJ`oRye(#xCLmz>-F
zuuRXw!^~Z3TBqb5I|utl*JzIWZ)yE2A25^x8(%n@bn#QNQq|ebmQv64=$_%S$xizz
zqY%OL4P%9LWaAJNU0_iW<SFnjVx+@_XT%~G+X;R#ViaOIuUy$imJ%tja&c6?d9H3d
z7ZL#6pacbeV|rySgo|shG;s`jodSv%V3%-kQ*omdny_WZ`DjL6aCV~`ZuF9#!q8|p
zP=}x?gCqxPncU%Vcy<$p7n&2IU%hkJ<Z9r8CZb!a)4yoUUQKo#z%+=K?&g{=y*}ll
z9A_}K_}x<ne$~8{`c}{lp>T#Lpq#CI3Tun@FFB2F#7zVQ!8?j4*v};%e&&4yc?PkL
zC59hw3aZp?WW>=ia(}YTLS&%?K2pJ^ycGsa@PJ?VnZoKQ9!9^#Qgh&()njCWt^j!V
zOHU%730kG+Ep^3k;jY+}aT7CQCVI;4ZSFIy^USRHV>)+vUniS2r&1{P!|XShLV5OE
zwmu&LiSi=<@$lEEP94r@L=l^!yQThv%yLKP<{bmes~f$g7|rg?SyWYK1-o&AHdzt5
zH7^4T)n)$-aIOB%WHtBoe+ZH57XUtB?OGA_?-8%mPJIlzRg6*HUKXZtt9b&o=AmX@
zuF2Kq=74hO=>2W9bJ`+ue9vAx1wV32e8!&Lqj&K^Nt|RJV8HzGya9;MzSznU1^QKw
z(3KWPD$Rb(?hu2uUpnUlxl)}t4*3&#hZ{mO6;OD2)ciA(-HJk%s&6H@f_$_3*)P*D
zC76i>2u2q@cUz=1mezgGThJV1Vwe(nefuz+RjvZmnrkl1_{kvy$d8e&WcbXZtiXam
zT4u<F75;{NJq)kn=np%f9YQmkNonq_w;+znfR;40lRh%e9`02mCtF55F)%ay2iSlg
z-eauMCe!SB6B8KVtoets9U9u;tIc65;T2XpTaE-ch-XoZ8k*{f&pi%$MO5`EJYQpZ
z$<kB5CTLX<gX>jv4C{4eiXs2JBEC*u+V`bpsLES%VO|$5VP|2JQxrXnyD;M5{Lakj
zTc3h+pUz;El|i)~1toT*{!%eekO9{76;!}(6^ZHdr`^hJOx&|k9KscF)t46LspTpI
zXf;;rfQ~JvVYr*HDp~>Wu63Z>OpopPaTB6sz>yOJj#H>2nH|~xz`Wuo`{ewy5#p4;
zrhN)kmoxwsVEU!59r_ZMx|8k~iMuu-z^yd$ixXpXv+BfJ<zzM8x9Q<hR>yBe)e-h6
zwT+>9+7|a@9*({sTJyuw%&qT`DqPu@+(+2iL!__@zu%r3p>k?HL3LXLvOB1v-}hn@
zVO7z&&n=2rfm=m`6t_M-JqGbnH?D0Xvrn<0qaV34cB$u%1Eri5(c`4njy}7x&N$J^
z;1g~8C{w+~%u9(=`XModwGr;L!~%tdW%|6xH;Kbsd!|orqTg4xk~C4pLX?mgL<M4L
z)SEy4$>JYNW5M*W-`uu!o?^&YPpp0Xpwgemn2BD6@tb^WJ?mT9y<s6&kZuz%G9d5!
zeVD;hwXV_z=PxL7fLiEh%0g+}o^@DcOWy{{Ng$qJAg~Po4Hgh;*i01qEo!>e2`DBd
z({-;_p}kwM!Zp#EaA?8r6|{YUP7Z!WfUAeI=Oag$orzX=pcc~T&r2}M(nP-L6?)(o
zcx{4-qM4++Awq!yaHgz)Mt627pE0fL0<cku*Tip$+1{ZUGr{}^iuWdh;LJU<QNg|y
z%1S83(W~WqTbbC~&8K2TGAv5~^WLt^wu<Ql{+|SWjk20Z+Ls@x1>dm2?hVnO78Tsh
z-X~yug8nNBNAyg%&<@pC4&gJwwQ~Nw?=z5wCe(wQRufl?%Xs3QWy1=rri=7bO`LqG
z6QQPLOC*u<Jr0}XBeM5L*Qri&Mx0O5lgI-|0YtqkQM7o*Z-o<1_wY4a7?(m{l=oK&
zgF~Q*3-2;wvbZinTsGuZB-5*zjSRqKFTq$JX48=^uc1y8_KEKiDh;nL6|XPOYzL8`
z<pDoYL~S9H$Vsp-t+YxGp$ZdcmDAN525fzkP9mcy8z6OoN+rG>Ir?KTJG5dkhRJA9
zJ!%}Nd8Bc}1ag18;d_JMvBQqK2xR&G03)0GmitW>63R4Z+?x+FwUe+;Ec(vSp+2){
zF3>2urHv!|hFFNVn|KIY*f5{e!I)N;0#PSlC5LN_ZCkCwhWk}RQ6B5icb&ZdmBS$^
z@b31Q4Y8z4O#`?2?;D(ldSj#ue(gQ#Na9sA(pJn_caVy;$_2gZ$Gs6GYU*aCyU+Fn
z`4&|0Vui(A6_Fj)JtpsIh<hY<4|Qz=sE*)}0QppML{R@<dahM=!iHLdsw4K4)dlIy
zY;%dWA7Cao(H#|K!*!wT8NtvgOEIW>bn#OH-)?}*i8`Nx>_WZ;RjwIcowSp!CnCjl
z!Cbl3s`Pz9X%y=YWqZzKA`bDC$y-gFBD6cuH~QPyJ$I@{=(S%p<3!Y02DZP{i7oXq
zL6|b`Fn0C$CZ7xgu`_#GWAUNzmPZ}^PD4WvV!+xl8wwmY@jm}Yeo-bC@On&eyq(<P
z^o9^_<u91mA$V+&skP@otLC@%Dk|cB(F37L0q&XI(G_$-xxoSSCStj6G)D}abRV|y
zBIngb3r1d$0hh!zrk(H|Xf;SBI=9e*W1(=GYve;fQksNTze(HudYkX;pI&xPkjY>s
zxP+b8Ctf~rdtn%>PodQ)(CrP%|3b&a*T*Kc;4k(|Of8?mV3xUr`$BZ<`f}$Y67P*(
zMZ701YL`02J$&Di3HCEb8JsZn2GwR~>9yEY^KewcTE7gOiYg4u5ql_JmsGUvlD9W^
zr;`RdQl2oG18MYM-MNvJF|<48BKHatSFiR6(I{;?x@RrjCPfcYKQ{t3>b;X7?Q_m8
zwukKWM-0DD7_W_rzIAcGaVSnsKT5_8DYWQ_PG$fxJ!Q`nCJ(`}S+I*Anqg1nEQgF~
z=_Yo@>mkG^wSxCcj;}lhb4&HQ=`B)Yb<FS?LOECAzNMR)OiuPu0s9~$&tS*|8oEkR
zdoFQ~K?WXbiwcW#pwah%T^zWuTMwli<$Z{){o<VkSCGrG**H;;sLNpU1kX<xzJ7&f
zK+J{qi(|%P7zLXo7O^*ot>&qV?_ool$4)(KqyZ=Ct3NmZlBoWUu|JaVQcl=Oe5Ho*
z>I5N>wA;3I+etZssKcXah!Ptf$_3E-EcJMU{?=~17FGgUubXX#r7Gc`7JFBJk-lf5
z%vro%BYSmudBc{>bMNt#yTtJ2hwBrGj5Ctn?6?eyfiNO(h2eYz3zS!krKudB=~0iK
zjmNxBg)xJ}HnDXQD9NChE)I0Tr|Fo+ehKzFfsFNU@ng2!xMXd1i4D0~GY`i-k7rD`
z82qifOd?-4*pN(|&*U^q<CGi~fR5K$(wXvmk#{+lU>o^zjSW)2&+%oiwq6Du9;i1^
zTq?oX=;`r!q`Cr_Oi=Qf>Y9w|Mqv5GRY)fHdgM%PCYMZle5>Orw|BGF91c!oMpWyO
zB0(Xa`=K>+itJf)E=HsgbB-Ib@mvASso8dk{6EH~9j-`dgb!Fe(ryfH^86Ab#xyE9
zMoNj{1Eg?miPc$N=)ONHI$k)j^I1Yn0UvgC?kkbmtF-*+4Dwhp;}Es*FQF$sfprvn
zT?kvCJTK1i+SkIYi|Szi9Ch}=$s$-{Dg9?btL#^Be*Zx(K$Cl1QK~?AG;h&j??%Qc
z=t9|^8$zH?`!9GPt)5T9m24LnwUIw&{Qgj@r^Ln5I$W8{yJg~nnZzA#VZ-}g3vntd
z*4&S)`mW&kKC%;<l&3!<mB9oCywbId+P_rYjF{lFqR92}R^7da#}eQM@@>@^Esd(<
z=(;a}0l%({zV`>oLTNKNk({;eE`PY6Tpv)L<C^5EYeqmmYxS0EvjAebm=H*=y~#I?
zTRRcXX~<4eM1vYLg**AxGK@3{g+K-6E0>rbazdpY=x^A=+g15r89NpYav!udNVmZ4
z3h(fUcg|e)9XQ)F`j(++%`6g>Tf|WO1IAt@jq97v4j)mh%VH}9RaH7*G+nGANTOWK
z0jeZ)!?LdG(j!@q@B)Y7?6DQm!{Xu)xqeHMIRHd_M+qI<_(H)o@(9Qq+Nk$yG&^V#
zeu3{|j(r6jC%SbnmUer!#?J88J!iam9UNO-UBbJRS+Hh*pQLaMaHre3yk%7-IjVZ`
z%CN|KUuL?sV}N&Pk)JZl$zm@SPKb%sy2)pe#YDu~CAq)2$68r+Z0fFIHK}CWH?H8V
zHiUM(`T*D|srW?GsaIsTyZCKj-ZrgH^uAKRPBZO}3)(zA6klchY)xL)D-SFf_R`GZ
zyGn!`74d*q!R+;cL4{yJtp+MWqEf;#R^n`Df}1L!A5hJU`S_*wunuJQL<w`?O?+b&
zgL|dTlT%F)^FlLG$X`vDMhf3@|Fk)X-=f`~nRvA=?^~*1E3R<o;D#2!6LW_p7^a|U
zG|Wx6uNGl6YAM5k);nd>a1YK5ml;%<K#y@jD83~g%rmy#d>oKr>1w(FR|ubouxL-L
z6Wr0ETf8~1WM^Ny*O>X08q9KUp*+)ZeU`fE*K?2J5j$O2_CX<1MTv_C5`peb<faA@
z^FpF5opV~g6zs)?Sx<*^iuxfW$GWiw09yu-h_P+r%`5dxE%R_q1hKE;KNCasXGQU+
zB3CHYKo?E1jKM=qUTa*0NZu3S1`Qj#X7Tbug!}jwMgG9Lx_pbqhct+CGmjUjS$+0P
zCA0QlwrGxcZf>>aw@cbLC=7V|`~c$6ok0pm5UWxs<%=zKD^t3g-<QDhsk;F1OG?+I
zvn9vT($bg>%_#om2_JzaIzedLB<8W;>VM3yD8R6XndTH(8l*lqgfFez>_4Ff1-}K<
zQ=XCP40rXP89cx*_FCCo!(i_17NZ<nYu{UGpMaqX$Z_dY-pSWW9-C!yA@4y2HxbIL
z)&(o3{q^%RXMo}DCEqXOO_-U(VID+0z))DRDa6zQUJY5L4HBm*oeDj-O;<F{orW<r
z0YTBeNcZNs2pfniQqDWJM=yIYYe4W7{I^f8NQ$rT$0OBVBk{Lh(w^f{N#h)dbn6(f
z3yCH}f4eThz9e}D+N0K`l)N9$Wj9K1%U3^9Xe(IhS3(&4oioby2HKB|$<7EE`6mf^
z3UhDr=C-X}QiCTd4?#MPjoVz!GJb=a$*XlzQ#mlJ=Y%Y21$U6<Wk8}l)X}&b;Zv=a
z#m{@M88mt1WNW%r@)P6h{*sqPaif-&XL5*I2{WZRBY4HN$8HF!-IJb5QrDy{tR}Hi
zkRK1YJJ`}|{0a(7pW?M*SdYXX>(nCA(gY8I0*wMchvN|PtvBXP-@@Emsz`eLR-oGX
zE$au(4#RlIK1kAJ%sJK0C?yThw)s<X3UJo4Tk<fQ<eM0A<au|XOd)Z9%m=HkygrhA
zi{AQ+Z-vg{<txKKRn;jMTyU{}pg!w2qNXLC-|m|jW-(3C`Dzor3iU7=O`a39Ted*d
z)O}audyym06Jnx<Jk(EU;1u_3y1F=%p*@+`w<U-(1u*(`TxwUDG>wo3Jc_P^+>MzM
zLdw3d>zDn8Z2f&xLMM}h`D$Tv=+@kcnNc~-8t~*)HjqJf2!z^aw>0H&O{tl1rbO;^
z%bG5h(eFNI`X&)u{>unCrUQas?HTJ|QVSRoa@Sy5Uw$?Y@FA>EluNd&urV4Y=P~X*
zU^&@2(AvQ{(TjR5^blZz-2WLm%ebcBE)FXlqhXAZV=%hAWw24ByJ4fdL<B?!qq|dZ
zG>AwGh{ULoQsMw(lukuO<d2xo!`u7wdw0M1-RGR|xi0lX?vWIiXveV}j#f)V?Rs#2
z8^Dt)pf6VhXHOF73f0s}*ok%QI`KJPp(aOz)4V;aw_6LNehGTug^=rp$0a#WChtiN
zN3}gebEI32-SA&x!-$w~aEJG!1z$9FO#>?P;1<o0FU68$UK#F|F@{>GZShy;!5MkZ
zOL)s>_kmT&2B$oYIoB?;iL23>ab4(#!jMC3VjjZWQ|M5jeBj%LYO3<?$&aX)kCjYB
zo2Lp&z#lj+y;3<oszO_?HERK?;*I_UJPa85mwNIK51XN@weK~Crq%M|r3vxxXVKNC
zd<F9v!o5eqJB)&CTx=!a?J;}Z1x}+MVxl1-em2BoLe~DBx}SnJk4XixkInkcN1L9Y
zx0HPax<D!-Dv?HsyfH^sg<}#2OzH~p<Ajeh_K#CdnC4*K#%}F43LY)6p_<}v2dVB3
zVoocJi!}ho)5$aG&xXAVvUCOXj9^82UTXXz29RM{D!GgfCynuiY9fQCCX)@A&V@9W
zolx)SBJaI00yC#*2@~F2zcL`}yDB|96%h+9#U3V%Rc+pejNm%_^c@VbQz6y9xA>z5
zk)RrR8m%ZjK%&ywHaKhXIG>q2p`$A^^RH6o*C@B!d~{3HZ-h9~GXn-`j7pA+)Rd)@
z1oA~UvnyscBDkR5J_oEWCT7i!{%q|T%h^9<r{H}iy{%JQ&)94lJ4L(sC9p@vuUSs%
zH==3RThw|YZ(FB~6nQhDAJM43Q_em$&ix<(T1G3AJ&Q9%aprz9!`kZ!JY0rO9Rm`W
zc&4j->H^SI`aF$ex?ac`c}MQd)cT{2VYPDl(nr4IgCW0)qq|EN^3NFT{%H~+e=3M!
z<5Qj}#$s=(Ehlb$BKg$VAUu^_b{NeB%FCOVOnk*IlwmgI`*FQis^WCzvgo$q@K)Fz
z1^=86o4U-(e2w!TcV7338fA)gQS6xAyd-Nx+z%8;TKvIL!q!2_6EqV24pZX9ut}`^
zxX8KmMZog36U$0O0Y6lew68%b6$KE1{D}<x8IFxQS2<wM$u5>Ptu~hF%AC$j%(YFE
z<=4jdn=G<@78&|3TCl%_sGUuy%_G{#jq0+P>bcDU9&2d<t02)Ba&(vp-w#F!ScpCy
zcqPjMQEb{G%jY3<#VCAO27_7|Q2i8Lm>Muw-_Z{)j@l(R7HrrHyb|hhW11HNoUh|c
zuBEtcvxyK^nfG1J?5A^iArLk%5DFEYM>_CN3xd!?2nI-Z(I+%R&T#3)VbzlkC#x*n
z4~QN^s?T!;s@887gx;Y{-PsEbG0Hn3?60@i!xc64Gq6PMOL>NTKUjIt>N5YqEhLkt
zZNLAj`Ldh0&!^%f3)DPsFSlE$_`8_){*WI^`Q(5)mn1PzZGciZ+pP4ty+~!C*VEH{
zs`&IiHb{B{rJPP?1SmHpS(X+0BVYzJ%<G{+S&2pSubyTO1_+!TNqrI79L4CHCGxpM
z&_yV%J$g#^3afELIj}w0W$&mowKT-YWSMI1OxDv4vV1*--E_uF3{XKU=6HZ%B@NWK
z#s4xO0b3r%6t+qE&fyqNmsV46XBMsEuMP5ex#8RB-L43X-W{ZsfTrI$MpCWZwM|-O
zQ43UZNF~;WJCtqpOD`@F;8XRUJQzYY-)9dGi|UE!N`hre4~`q>>oJu4G!b!$iENCu
zHMu*viK4h{i&Gxo{mioZtH~kf7u2dr!R=9DOcHH)M=i&|gpqm!(zBZm%zhVB=Y#mI
z$1jW@M7#?|HQsuQE!W`$l?gG?H(-~IKTu{#&3^?_8MZAEa@)-OTz6<2;gnIST$}=o
z2+KvenV&3#qooNUa~IHUuA8=&p~5i#NMs-7+wx>mbKclXWc8ys{YVOj9VpxC3dScU
zhi6<l15ejvW+?P+YU)*JEA5(cu%LP#HSQhrlM~8EN{d<m;ab8g^;Pc~zUAE5u#IF=
zhDdLEi@De=)Q6`1z8A~A=cZ?4+U{ztcuC*n!m#-Hm&m|}Y<0@+O_ZtMsrW3Y@BZxf
z$^Ts|KyY4nb{~k59JVMuNFu8Rr0-<c0Ri8GdLR1JjOpDrq_Gv{y6$^$6c$$Sj~P3n
zhy<Xkj5PUMR0%99Fnm5=vSKjnnoR0&XV^|OMcJuQW!p0sF1$9kc6Ov=xRzsOL>mMI
zGA9uOJ;nA!z4{~p$N;0n1wyYG<Xm}^CXa)3@}ym@J<PQ9eyv;{MfH*IUfsd3rk1P<
z9RSvMNAt!n!^@}|=EW5kq>nZATFu&Cs`!4k)UnW^Hj<cC>{|b*fajfd4ifOgb1t&C
zD)zI5wK3xuABO~NG$`4rCCtH;B6G(6)%8q+H-Y_U^CJD|LaIX<Ur5$X->g?6XXy(J
zD4Lt$yfB;y7Q>}d9N>G#ql;X8telZ|d1Ky6knE}yd<dv+P{E3i#fkOY5}<sxmwr!3
zO%OKJ6Gr`{d9c%?ZIl?`lf)Aee0iah#@SxKEYXEV*;HgRzTXvyPvQ|(qN4KeD$1{z
z2d9>*+E(TlLelk{#JGKjGd@dTzfay%?ltW8+nvp)&DF}!x>W+g_%cMI9hhFPm($q>
zX+DEzy*?5wNSSfyk9g0KvBd`dMb)m*q^;hg<he{wRoPV`?g^e8+E(vU+FLZ#JYA~#
zA<Y=}+pIx7Z#V`TP)Kza{t@(Irbn_L<iw$oCpMnB+xTEP+fVDkGg{Mu;Y_zm{EiI8
zFYK2VlI~O3(N5ws`i^D&QxyW3-L}=QG31*sV?D9`cU0dZAGIlF^HlBW)gE4nwSsp#
zx{Y+M=%<}tiY~a#{T%x}E!ycV^q971&Cc4?>)B7`mJ|J5W&kKKX3n?`0WK>|K_*lo
z@xi_#KTb^8QA*2soBB6geKjR-#zWun2F9fqObgw3h~(lvE~?Qgc@2+xE1D~Tv=|lH
z0Hw0$St%^S4%g!`#cImY2QN_2NanSdH3HZSmp31vqm3Q!{&$VG-vH^~U^LvHp=!1i
zI-ACQi(|W0OAap?Xd9@XEnstkti(MyU4Dzx6Y`aBm<)JjsP$J078ab$o*gB%bbXsa
z9?oWb2)Ll5mY!0aFW1hH)}{BT+&nJ0y&=GBZhUI=mUb;L1D$Py6Q4Z#qyw+zb|kL;
z1#18#kd#v$o0>pu2#<L$S2#1nsw0?|X|HJ^htm^ivfwVw|EnXuDy^&)($wVZcP#nF
zlaJlrR6hhC*KJZ2wmZJ=o)*v-(F|}Q-9B12c<{b!$AE*&Go8cRh=PLCZpH39jq>yk
z1!@=(L*^khO5brux1VhU7uzPI3!ul!s+^0EXLM2>*#17`9>(Spklcq7X1D|Rgjx5p
z=s&VkURrmt#%>7gH_^f#)Vr`3lHfj&JIv1crCPRVVHNWM$T5SkXip*!MXz95GRxkJ
z5C1!wg`$!^(TEO0K4`2pbF+E*1VtrUtU|~0h>2OPN&r=%0_*nrBgZV$z3AD5&Aiil
zrpTyCs%+LZt6z3rNC+BsCnMOqy<xrb2){-{UO=6@(%e}5(SzY6fr>g6<w9tb7vV)Y
z{ubRir~GyMEgHO|i2)>DWOj~zXk}?%HiiE2Y+vq_XZ^d1sPO$KQzG4?0u|o<=1L(q
zyg)M4VObw~rNe5p{lsd*0p5QZ3t99np^WV(IJG@dv&?pZzbbCB#8vVa!+R!)ob|S#
zwd1qA-7f?WCQAz9mRIKMNM!jgpTxBIfwIC{rex-xOMGyKLs6~~Yv*|sz%#3K{KH+1
zwL7i4_E53|Y11LlQCp_JVzv_=u-^?>>IU6cHa|%&F~48|i>2|!{ODBb+)fXFFm;!T
zVVfb$pe&(qx}-O3HOfHFTQ(-n+UT=^V%qJ;8Mkbo0MiQtnE62$stfl@crtE--Bd>0
z#QYaC)BqdMYrzW{_WkjkvJJ4=%wBwOTPGPt_j9rhz4t1fs}8hZE49|WB=*OVVTban
z`qXx%$#<#v21>eDX}>JP^?By$x2Kl#M)NL=4}bC-$A=1*I_3KecuO!C)#XcoUh918
zxpO0=;{B?ioYkXYx&E>i8NRGurC0W>O<VM#!An-bzV1AclA(X;cnGqtu&oS|Xt*ku
zm2vfLidV-$B2YXW|8aB*OK|)_v)nbTqUiQiDwXi=JOd0)^)Yutb?Z-4d->eFnar0Q
zUpFCmN9HK2DCcvcI4CepoJ(3J3HXQSkO=I1D)=^1Dt$gB8N8#EG)Z7-l-rw}D68We
zN9_O3_FBM6sD{06VtIeTp&IFLs@!ZjYUL&NZy~_)d7#zRY&|`X{4#>^;Rg+<Cv)p@
z-(n1B$wQ?9B?dQ>$V-RpllxEyB$(fDOJ%}~%dFE(Ab=s!i0j^_z?N&PK+c#IscPJ2
z^_#?X)|LwKf-E1+pPbLjA2Zqhlg${jouF<n<=R(qfw?ByZX65za)5l{#BCK4dIPE4
zg2zJc<reidNxu@~SnMjW`&+Qy4qM3h%O_OwiswG447P3aBZ<MSJ`a$0U*`=#%#Z1o
zsQEP6s*?234+qL7YgWy19R((+K4C*v6}7I1ibj__s`92HjA=CTHbW!Coee3CM<t$%
zBcKMUn&^#t0fQsm77|%X9q7K~^erxFJGD;ma+5v)bb&E0*JRzf)<89xqzzj8PX{Fa
zGnpBwB`qFdtEt;Y{MP7E$92SXJc^Wd9gGa)af(F7zq!6Xvw?Ys5$!@{zho(5bm!R7
zPY?XxwKb&MDR?kyO!4o%wOAwz+4i|et7eziZNptgsh5R4EyNC?ej0#ClSzFV-AH=i
zNz8&rZX)IdK=79yDWhKIPGLYx)X3UeHZMe<#lj`0`J!iD>FW$c_ajr5d#Q_(1x)+{
zcLRC@kcMpz$sS`UT4ZCWelQ(Mg?C$?r=k#@dS-QPKiR5S@OLagREnftXD!EzylMAQ
z=H7A@NQ<n@p|2(lb{v<;1oqQ)><X+WaCzqE$!orZHZe2+8E-R-QzpL7J##K)Zg$Pf
z^vM8#TzhxLlCM{l=~c%gR9qF8qV?#}PMRFef%xgIf4oN1{G3zD&m8<Y;iQ1KYy{^@
z0iH75c*;^n>QM-DnPW^QNEhYsa;PjcB>xd^<NY-I7U6X8Pq4Yhe&5fvRH6oC!QLIU
z{+3jK^FsYr=FXs%7rPWkiHzsEEaWF`?RX~L4;?n&*<337^%cng3NqEz`DnUy?cn`7
zI#=o@V0Mr4NVe`EnG<p(PrDh6SWl0<lm@!m$iy16{O<Q)z;fE1*<ss$OC>E(2nmwz
z)G-0tB9+NZPArXhR9%p}2R|uy?bB5lsX2+~1yb-?(fxSw>}0CuY4RP0Y02%pEor4W
zZ@6ELY9$O_W&D~sL3}426UTJ{b4Vqk9P^(xrQ4LhrNud)gvreaQU5ZgFPdV=<#aXM
zZ-NM&rdeN6ao5$(ee;r;J2I)crrRNfk|Oo*6(5^|$^L?<xLA<>5D>%aHp6*sNeE6z
zOlKow4ybcHZ_lM+ritgG(`u^zb}ums+9v^vx#_FU#G^O!$whU=EN)?@>H2!I+PXaf
zj`QaZ^lcngKK^6zYCIt)flOdoUUpwY0V`&Qi?jfL1=IVlGUMb$ryk>9+6`87&r;^R
z{q<b!9u`$JpZop^V9fgn{)lZ#@VzeO8mDdmg94pqo^=h~P@|}n35;8$skR?y|F+tP
zH*uvwx~f#zyT=){lt)h?<1?RAE9~oqv0}9$)tH+qpx>XkLf6dlyk8gE(*R<p*Nc5g
z+b=%G?njZ{GgDl6USi`q02?l-o9qwN4x5y@GKIG9qDgUtsRXn|fEXWZ^ILI>Wg_d!
zZbl@Iw>FdQx9MEq1mgM$QjM8<edA?D*4lVBdOfM#h_fa=F+^=XbDnsPu^g6k%5vxV
zw~xPoh;m^NHxWo5x)@QRaYH>x5bn-HeKb>iR3YSO-Q1h*&qiU2T}!}LhW?i<?l|Mi
zZ~5dQr=skcnk$$zQFcD&x{Aev>VAe`v!Pkb9a{wm2t<y#T3Q2nbTG}xzAy|N1s65s
z%BSAQu-gg*`w>Ae{@_e#Z!&MkaeDXO<b2N5-^K{QwfiBB1F`9W@a!*h$3<^fsyH09
zIfu)8C@(0^UCc7%0J+vDlg--Cp^6bp;>-%)l<VLPal3xp3aqg)eAw7}Mzd#mA56|c
zn##7UGLU>-rJ1)TOh$HpII84QTR|KE@%|8dxs?l<FZ<ZA`+#SyOpkU!0#AyctFeE9
zJ>?>=KVv$t=|5?=cilWn6l8gmY)#Pk)*gWWr8xVcOu}>(iThRozC4ATa2cjWS7&Pb
zLd<uhER7SSfu&eq)e4$0-74_4S&;jmUgR>Tsbk}BNJ83<boxWUM{$-W#kF=V77_Nr
z`=mxKE#!;Th9SP+TpCsNz6)*q;w*MKGeLQ1))&S1eFA^5j%AV`L9T||NBQ}F^SZgN
zT&l9C+csHqM2lkD-WSYT10X?B0Q>M=#%*Gy4bOhQX+0pENXrl99A4;+m6AS}4dIBH
z=n2S}#FWjCxB}NFZ^LW5h7rzp(X&v|_-t%$;!e*4eK*F3(^jiAepNku{qBf+kCwAO
z6)*yVNM*aUa(uuUx#@Os<($LWVUyvuLxE~wJ`U`DMsFPcxm6KDLEmo@SSTvn$%ao%
z{Zp8&@Ft7Aj!BX{dYg0d+~3L~$ma4Yi72D+<oqhC&@;VWSk(Fy=ll}+B&hnsv^CmB
z!_|c+30;H2vBHb2skXCJE1H*o{biLX7E*jKWb5Tv%ZxBCL53Xi^K6!=j)cNYP$z}(
z5ni<70eG4rxJc0#f8!Zc(J<tFiD*YMQ@@oJV<hQ6o<!ddxkFNcVpXM}W4!JjMnQPp
zKLIs=!VM?ZwnX=uO}$B9=v;#z*lqBu9Xyk<?!|R%xe-%`B+jDJj{1Wj^*&@ft|WHb
zD3*d{zQu;M{)uP^?|UKH&Kl}e@n8QkJ?sBSdi$N@6e=|6>Z)1TWDgEYZ=MT!)~7#i
z!C&T(FR|Whr(=9oggKl-o|2^$J+81xB`KI_+2+_O)ewpuT+%Y8+^V1Urxs5aR@%p8
z$0DU8w~iLhvsu=cs~?im1fnw5TdRip!_0om_>Ydko8U&Kmt{9VsSjV~w~y2Pdt?<H
z?-!vd3fp*|N2!%6zEjOH6{=pRw6Q@PU28&(qhf!_IbJ{-Zja;h@+Z(9uJqy_I7nB5
zQO)Tvrw`1Nn0`z$Cp%=th5YZ@jb@ECIn@dLV_7Mq$-mufvWkRTfU83jRlm3B8tyQQ
z(R2T5<#{fkM!ctC&SEf@8Tg!zCV!t)@|U43je<+>@$<gX9Y$akQ`)V-A?+!FbG!=J
z=Qc2p$J0D&#bdeus&-;iX8a<tYHC)XJYY!B=dCoHX^-wk+Z(;q5p<e-N2z9h=6Xu4
zoXo0ZmeNQx)=cBpVTGMEhX?_)_MkLJg(<cy??NFcG)SZ>#mQXk)mze3lTje?apuH=
zD5M#2X#i-t9$p)lS~=x&?v7I{H81OwXN96{{djAQEsI8JeBB(q@kcW2J%bivLbmKf
z;u=V?JgYgHytOB5S4)(2d#pcm{ULobep+s9X>8sSW%k?QZsM&2uEh4dLofB+Ni+`(
z#Yz(t5+e@d3V7YAp!3iIKk5`(4|<W4;p4LyH0xxfJUID-bQ3R%TqM>72kNinp|1Au
z=$T@95*mXv(9G%@ljmbVE4~|V<aVrP>kM@eC+|D;pn5j39QYI~AP9Pe$PX`7vBsAh
zI0P4K5ENv#m7D?Xv+70HM}N_GA<8nJ%A}X!UaF^aeC>cFsD?jD^*Pnuo3yGq3DJ}d
zB)r41$CEe4xF2H-HTWdE)BH~$m4oz8MtBKU0_dM`Mm;wUJ6DUe>eZCFE8-JSh@kqS
z3vbfaV-}@%+V#`lwhwZ^P}%I8z>Bwx_fg|nx()O@r3{*DgU^a?hW#fbRtuYvNSx+>
zLoshK^w1E7NAJjhg`jOEqiWPsze1CE#0`cWZ05kmXn4h(`WSk}=BzUNH%G~o6H}Hh
z6F=>(Q-H$2y;8iBN%<P${IkTi9A)14S8bFGKXd&dHpgo6bB)u?gg25}A?T*9S88KI
zk(q?DBW}0wcQ$@WfHggaYg70GP412}R@hipdPsweWZ{vG7_h&;j(AXW6uX*i;<|sQ
zs1t*2B(G|&1IKCtya9n477Q74kj1=Yt4a&z4L#C&?b`0soH?A=x9Wh}M82_9K9hHs
z@E|PS*4*wgtbKFxLi|k8D&re_c&fbY8<)Iqq}#@vJ+G)NgY>+`bl)O_+6Ei6!UZi$
zgK~)F)%Und(2r?dmDB7sjr!9Tv;kLe>b?UYp+1I1aP~Gxn>jwAy@J~(N`eSkZZbt5
zD|1=R#m;4V6v|DK6MIKgg8wp2mXFcpBhTe}pitj3T@I3-)`_dTs+#>2$BD{7?oH@c
z0bZ{sthiVfFyLX3hQ2P6<`h-ZlJStkzkrVBlxIjWcL0;;)?$nMRFyYV#n~%naKwG3
zxV~<@IIAXpA<e3qk^>fMeDInBtErD$P0wiGbAcS`2D&8hGkIOIl*$f*-jSK8StP4a
zWd-^AWDiP)<58aI1<ar|X-@$i58-F#DQ0OBsZ)2;{Da#WECrxw*s(#oYZq7izD7m)
ztGJLkx$+`iyMH_AQD60OqXA9EoF|`->i&RlOBL`dHS(ml25ER+;Iqt>kzx5fjbRZT
z4@_JTN=?W(!F^y33J-)v<?j_+8AZq&KeeA`w2Z|!*(l%J^`dM35@WsUlh`r~mND0|
zCUUz3AjP~3-~lz)nNCs%7juc7Fx{i9WzEK}y(%C_X`!WS&_qza_>v-Q;PHrLt*NNo
zZysm844S{V7S(vEN{T1%lFCg;{snC0v(WR2DqPs@xuXAFWB$i-`I!v><`-8KDN2M=
zaqrk(b&UWqE}IlrrlH)hCOyAJDW3LFFQPkE*_XDtOnHYROK3&d6S|(qg>ZStoWHiz
zvh~%a;IZT<+mUsR9ajr0hL!<+V7mPs;LVL4ppW~L<P5ElD(b?<uauqN-o>F@kB!V}
z1{h}Pd~<6?q_|>p`yGcajU~#|%rO=+O?(!kvR{Ra5Au_zO|TPG4NXBhS}(XmjF*ww
zUUb;7RWwD+Z=ottS)=jbLD@sO559ca=SqBS!mt_?{Hk%7Pe}TAS_{`gJLm683;TTh
zo6SN^)=KY&TBNa;Lu+QEe8?*TRoiow6qbSbbXnse(oYndgA35#e96BNj%tRe2a78T
z8Mk~rhucx76&LC#6eJ2#PQ;mxIQg(Madt7P5al$*w`)bg1iATV>F7N5IO0RL6N@|j
z_YhO~PXC12$84ek?4bE^U%9M$?u)$B;K&<>D-?LSHsztWkB4dG>^F1PYq12k5j9ru
z+v{kaN9QrB7t61udXJ6nP0CWr2ZO^%ETsC4oBJ{T(Jy8Y({aU;dk?cDr?c7=+CiPf
z!L?^{Y<B^nzt_py+4g@KfJ>|j{ZVUXH*I5+fTi~p;NV=CUa7PrN1ojW*uVVFC>PxV
z@YlG2QQ?H5r{PU$t)!_{i{u#V$RqY&V8UBTGnCT(*qCkxnb(T7C945wqp}y<THv>Q
z@)m>bd|$wc;QHO%bm%LAy>>~Bv@Q)&PQ*OoOlX><Ep?Y}f`z+ravIxD;4RP2PQac1
zw~s|mdI&79D8<Slv?E5i@&1OM4@UiPb4F3Z+Idb4^W1;4>OF{&)Iz@S_b}at6y6H_
zDs?0#YfZ1;n6O`WWW<~6Cd-MReNOC*F@)&O_&s{*J5mI*|J2nmtQjB=fG<gnuGj7r
z&<}R!`*dyS@B?rBtRx|KSP{}YvU8S?v415~Xg-72+*CA(MQ&1Z;ZJ3!pa0^og4)hV
zVYN^7LNZ~`V8Qrl3|93BeScW!H7s7TwR@UQ=!z3TFOHfi&2>*~;R-I)I#~$JWHYoW
z?lUkQd$1kUoSVYfaa`EC(i!=`Yt%9kvF{k82Y{D!1SQQ)hCHrWymtX-BpvSNlSWZ_
z)Pij<{+31ZQRt!FQrM_SWqRq9mg=MXyrq!7s|l8*f-lE?Uth!jE)QjOaYZG{dgVun
z42-AebN)8zSAp?TYXOK{S#<w9JH9Ui_tX?wi%VXL>CfKL#q+$Zn-iY7L?;&@DJ7tH
zkl6YaO3@vFt(3(AkTDHd&(iak`I%tJIM*9!XbrVFroK*y^5Cvl)~-WkYlQMUo3v~B
z?gI45r|dm(D)#p%mFUsvqbmZZk4G&@Ro8{s(Yof)=+gck_r;p$^L({mSMZ2Sp7&WB
zAdluW9mfQ-lPKBt!}nG#LD8x`e!oOw%=|})!<wJq(xfgVLfu;4Rx3C(d(e#hXXnKI
z_Ft7?0e;9jdp)-i{XWm*bF*5@ES(5Cy@G0th;!=yuKfkc&pP~^Ra-W@ADhMFWpXFf
zH`t2n2~5$oZ9&3M68?vWPnlPUD}{58MrbB&V@_mU)j?Kopd_{Y7&fFo(fFCaBf|_8
zjFbO*AuF4x6pBrhQxpB1S1MIgb0OZOUlzJCmnOE~MvbT$MpC~;6k7$HdzvW*5dKQ;
zhaF9>F1Yc%kvmr%5$wtl%sXAH8pz<;rIg)bZ0Kb_Y#UO|W6S<6rIBneu`R3u6}@EI
zQu1%qEyD_hIPH@9v#L`S(=~ebE%QVVl-F_=couoa=FNGEZ#~{Avz?wk&Gx&g<r>Gw
zewe^h5_xW`*%}uN(lPrlQ-icn$Cl9JSXc)rS>b!#0=d_-sIc(hk*_gVH=$J(s>_m+
z>e|8n-6*Z(x6YAx$2`NT?{||xVWV$>!-2`wv%gdv6<K3+fvy+~N|)6Y`C%Z6d8fB}
zysIVbb_}}2JwCeK+gOJcdhk<|b@8Wv^Lm*~_d)i{ol-@AaTHyVQF}&z@hzLw==<dl
z9utGY<hJD)*;l5X=|5%oGH%n?p$)UNnGYJ<<L9S)D981u496RZ#W;p^1?;FM0*_`I
z81qv9T3^T;-5x0mntj2T>c>S7md}b;yYkLvpSXc$#tanD1H{55sooiB#$wb{W}4aO
zA-d9BXW6#Bo0OGmj6bm$u2p}BKgyx6z!;K0W>1QN=rX1skDMgLJ?|5MGp8^bYi1c;
zU&J{AT--4;->OzNg+A6vat|gNy+{r4;P-LLS02Z2$E^%48~*Pat4=nt_4<&^T^=1E
zS=@?1P&$j~fd;*?W+5-qN^x|XOBMZ=JVoAr)^FKH{0TYDYc26~wOfCJ=c867Pfi#e
z$c4j5CCito<y~sMR=@d<<xQg5)xP7Pzu!|5w>-dK*77&6dRw%vI;?<YLADWT+)D!^
zq6G)z$5%Ak4|{X(6T1nucn>Q+gi?Mr&DV{>^4*;}EHW*C(CbQ5q03CkUe%K2_q6Q`
z86p+iytaA%?Onm8j4E^WVOUVQi7)|3d1@C$A`zQvLzn@zcK`B1Qn2}<NGg{U;^IOS
z_LG(>@hp=`t6{A`%CyMg=EG%&*SIICXKl6USn1Eex0BGU*Tc$VunH4r2v}+&K(c4g
zqXF&P?%}tavG3AvQ;<31gxBR*v9&CVTkdqK4d8$05tBHTZfgs$Z_b<(6h4jWmMRPf
z{CnnO$|GpR?8IlC=FyVnOM|W-fQ3Kd!t9}=l+gncGY&Vbb1fq!PA7Mk%Pa-yJ`A&a
z0GgouT>Nsnpw6(R>1jr$Pz=ZG=Y9Gt$2?+R=^2YTfPs7b-ye-Js0M?MHhy!xuVr9-
z)SSf<rsOW>=I|QEUO_&+2zDub`cFFyG0w<RNC>zZ49)gNmk5zJU@am&VGKI^4{U4_
z38bgZ!*LO%f>X-wETu=NHS@}H@@g_?Dj(+b#-?cmt!c4Fv9MS@&Khph;{a<C=YPg&
z9B758Tr(y|j2J?TLmA~(Xw^n_gwwbc-ULicj=Av3)=#l`H1fifHrxZmZ$l$W`T9YA
zz-OltvamI`acXzI-9M!pm8D!B%zceh6C%%}G8?8Gjhuqdlm)NHGDBoa-$0H<>6%xw
z+Uh}GCJM0%Px%7h$PRR7Vb;>8pW|K>;p8;AToasfwDwG&e#MH1l^uOErU+UaU-jT_
zWT~dw-9>9zkRdEh^2`C)pS6KTQ5Bu8ttTGk<A7!ToE5PpzP0GgPezN(>y6>$dx<~;
zRx(U+BSuDYazqXP?bo9s3)C&xt3Mz_bq`4~yAQP96nQ-;PHpE&69kI&@8#14XQdj_
zBuV_GcQ)A4`^SixE>d;UQuv<3^@<&mquweJHk9nmqk^7`)j$U_RLv#&mvDZQ55)`l
z*c>~#YAzI`eB6oio~ad4t;xM#r~Q%E>-m=OI+>P30{2QTV~45)_S|Kz+vJ1i6rfn1
zcw^*BOZkZfWx#!NN?8PA7VxA2-FB&*u6yP2_A6mxgO-XSdS$ex|91`Q#VL_LR>I@=
z`ckG$ql>Y$_%!(vWt1eu!}Ypi4^&Xy`7&>_U3Sr%{?pHX4jSzOYj}D7C_665<(u&b
z+QR_ZtSq1|NPLF)o}2#fmf4ZmL{AP?L@*H{G)KK^=*T8lK!e;BDvvS>GK^<DaZdt=
z(B;w=RYKhWqAV!^6I4+oBiq@vofk^?HYtx;FFZw!<d^uT7ECH$gTlj9&y@xX5`cpA
z3(36u0xOK4rPeYu=&W=R#O8`eP^B|8fG8Sp5;}t@UC<(o)sq)0^s+?lA4iL)7&1VS
zpc$F$KE?+WQcxtP0+O<B!T9hfiY@qYhK~z~7j0ZHZp`<tFwXdM{*}*Gs2|qjLVG}S
zU=kazE1%o@H}fY`cf5g{q#+>gHa8;BS8XX45fbGR2POwJ4k;K#)r?vg#rtG5Pa<E)
z4r$NI8;`@_9se?u**>d07%+;d{+Im;sTrehZJD4r!X!3`mri^OFghmUsuqJPZ`{4N
zx})Yix}xHINw@gf2P1g6<kNx&F^DoO7T&O&^q=y`h+HETOVReB@CZbAX6yuPc0uFJ
z$R_RUqmlxkl~ykcZl~WQz4&PS+Rss&nDhH1+<r3y5?vQ=tc;wf7WnO7tBcHtHkMoB
zHp62FWGjBz+Qp_^6_AICQ((ZK!_dzyGR732-akx46P%^qb1Jc(L7Mz|G>iQx@RsV-
zN1y2~ZB~_^@Z0DGiF9?L$uTusi9h@|!atc9(F2T!M1QeK`Nff+NM$bxXJy+;W8Vjo
zZ}BmB<_(mzCU7iV+U6K=w}8x^_;ytXKKoANE7mm|VXB@)AVACj*jDY+MSpI%oj^V-
z<Eg4V4c_A?!S|1ImFqrAS61o1y`#~(@I9**HKA%Lg&P4k#%h0Z?(=4f-fCBV{kV|R
zwcDDocG99kqbin5TK?lqZ}Vh^=kbtCGDF%67hnc+oL?*BiarufbPR>>#HpKV36sGb
zs=cqJrm(8gClBT32@ZPWbJwf3lD>i3P5-;1q?>E#rHlB*tN1#LKWn<-Ke&E>s`h?0
z)7q(lU;zu;I4yWmdh9`_eo;Omig#{?_=*gASRo5_FD?(_SN$>L>d7}V(i}e^VRPYj
zq_P;r&;;SenFVdn)5$DkRmD^)*9blKKn!iN;f_a@joej=HgbXt72z#sa}guDN|pjQ
zqdcBnkQNBO&-Z(!Tv3udWfx{aae%(65+Lgw?bKv0#@J#qTqeS8m~L-a6Rh6{dqIj_
z0h4loGiMDPID4}vlN*+EPFx42YH&&RScCO4MJFx7WY$C8pvS`kl9`h}F2moS98B<G
z>5s$0cyY^|2K!W*fJR^I84uE$sXLUibC*goW=r$Zi|SUD&z@~|{JNS;3aF>b88%|w
zD3x%8IbV27Yl3$}5Kc+<Wp-iU*Iv4COD&yy#@eas?5mI1@mwL09#9)eHjZAyW^0yK
zPBe8s*)@TXz^TKV<GqrND40=O`(do-(3CWC^-L$HRgi4#`@WUy_)>5BoU5wmDX|aO
zPKchYUHDd{OdZCeJZQlis<1tVJA>E7$5k-}uSHYw5$Pp0f;BjQX7z-+BopH6y~y`-
zhGQvUyPMSodXkOe1JBa}%5)pYjiXZ1UF)sv-&X`V7RBA+r}lx)2K9d{8W6W-iUWsC
zFBGTd$dy>jOaAW~@G)x6c4Trv67f+s5L4R?=|LOe@c{`{M=g?ZC{u~zh|ERh=jm5v
zqB`V-9tigxAIN!Xm(V4Iv_^7M3M@Rp2qm%?f0{CWG+r<J7@$fR>hk$fGjKE5xM;1j
z{r*$(CK6yFy`FB(1_$nJ@;OI8>Sp9GP6&3CDv{IXidB4EEK?)lTzaDto!hXg#{J|d
z`t0TeJmhC|+NNYqCTS=<gqhbQFUC17-SbbjyY5W%bFN@g$C6SOqqKvUxL#~B2DO19
z_IwdwTlDfm387G+I)#<5*t1K8iao5HQ^s)6N0jXm-sm<8=f~gMSTu5>*5|(HBKMH%
z-iy+#g#Xxlg6IlTrGbtL>m|m|p|F3n(BzwBQxx->Mup1Mywb1~tt8q3Ml@Eydtb#r
zWE$-%MB|sIKKHSvpV$^~pI$Bz2~Tdi2Kk;&J~%3g0tM#isM^?j31A3s6bcZ<!}*fC
z_BzrW6^WWL{$ACL_Sc?Iu4MKsVjihNL&LKRimbLxLM7POP5CC?t83Q&R~-1R_o=yI
zc8WWvPh6Ij<A>1zaj}_Mf}l7w?0?t#7!VY5k<kH60<4@~M7Vb`zZ%Fmo*5>oV8q1C
zN<X|5mI{HZOC@V$lTMK{Bb(&0K_OFJ^Pm%FW5*AoFGeHR%Y5@C2UDlKuU?n@_UlE}
zzXo6vx4FUs!sW7SUxOB$+r<nj-9fAcGxa};))NcX(C$eE45ei$N?=5>o=;A`E%6UE
zZGxhsp#0I8?r-pv6W@lCcG}c9EpdOmM}?4XNAwrCn1qLEHSk_<5Os>S1!r3JAtlC&
z&CcO+EWB%_pa1Jus(t=o23#X9uDnVY!Q!h9*NjRMGO>W@POtr{2>R|C!qL9)9RbyD
zV*0Uq|9E!nx;{Nz=>C7~ALU^LPFSB#NJGz5IE&4e?gV^qL`Z#;sZYqbNIP%)mK+P7
zg1OT;q&e;`<*@MBS2lFbB~oP;A@>iUDn52p1ywDi?sh7Zl_Aa+C3gp882=-N%Z4S1
z6x9g*5wp8oD+3GE!k=f9{jCRPBM->A<<8f2@VmZOLPwF;UXs~)gfvvvAmV8$yT+^z
z0|ql`_uQXjY<-GR&#!-Q$t4X~RbJEt4p7gW8cQ5<d<)4f!hla7Fvj#=w9a7SZSf(T
z<&Ve~RxHf{h2pyTS>tYvOUU99)(Y3u>qV|9ocfwvgvm2p;VdjY&>CK%T%$2LH%(V(
z#Fx%U8=aTOA{nGC?{ph9gW}sbE4wtsbGS3JdDR0ld!ws^0*6pe9Gz(XyjKY>Xdvwi
zmQvkP{@WMo^<qcfYM@ixCOnf%<sQ4D&q6t!ao#l1-jB;vmRqc*rC#(@<xEvir2-H6
zT*u;$Q7%udUAgiVTIHb}P)i^cMGs}@?&%EWra&9=`>dK7#7zG>`z)~&4@#J_zQX2^
z%3E)^F;62W=i2A>>Lgu^Dh`wmRaoG?$*_ZsBJ4pL6#?`19!YcYgimC~wbimtbhW{M
zi#cGe=Qh`eQw+>LGDDB6-qXRclO^KDip%t2k%Lp1i<zb_lO@_QN6PFnG@Zl(Z-FPX
zip1OhFc;3ty41{6F3iQs1S?3UQ*%s{HWL3RD5TL@SnvoLNgXS`82aBe-PooBb7rgh
z*-`zbMxTl_WA%jrky>relNq3D2R6=}PVWhJ`g@9Nm(Z9WC`9EhuEVT;CX#ty$WWa_
zN8a+})xwme3QDk~?d^hOxsowo{^TIlOI-)+>z{7io3y`Gyb&eS6wQEf%gOl&K!meb
zZw0#Ly@@pr$jM{oGR?E999ndFS&2%F*M!VdGmB);FI2nZCpkxfyofr2WG=Q~Ie3W@
zzy-E=D$s5+`K>c-EDv2jlSUu)<?<i3PJ&s!9bl;>lDd^(fL~mul=*RA(N%&UpR;*J
zEBlk3>Jh_l*X}t*WT<x2bTT3|`Isu`e^EQ=FrA%>JtWZFpQ&?H$1uuOi>QZEglIeJ
zFpi!ax%({O##}2+Nu_-n&Ig`ImoG2%;pIyneB8rPVLsD6OGuW#JprP73hF?Swfhr_
zJvAp*oupORkeb;u{QW7k?XGTJ%}G!l@hGq0uk?Tw?Zn~5FG24^T0~VrWpWeGc><U0
z(5e6m;)$)oX-}fX41#7&&(v%Jftf8j{90wfZd_x4qBXL)a=?REnq0@pe*JnNxQS;5
zHF2G$it`r3XH%h`qJO$a9{4=u=YBA91LJYm@HcUsR`M}P^dYIk{^Vw`B$*x8JsVV3
z+$$AdDag@7*dx{(s$d$|X&C39@|i}K@LN8?FR7OWE4FV44k{i8LYD=Wz;I|ZWmXy_
zK8rOfaN2=QrLC~yOMmM0@waaUp6H&U2lO-05#{`D1@NFqUyREw8H`ia=AJ%Ck@UjQ
z_&2!pLd243iq0~Y5EZaCHwasjd_k(J>-}Jur?F4{o&K?u;RwfMwMK#?|1Q~#_Zej2
z(-yB>9D48qtwstl^hh<2GMi%eV2t>e2^8MQ@8#ad7Rn~LB=j1|l|(`Oq%S9+4%}zt
z8MATYkj9=U3um8v(GC5~pcRPLw-!Lm7X}TApS{g+H(a=z(S5Au{D>i$#VbS4ncpum
zLUM<*Ls$1_E|-`er#gZh%9S<Q^1o|6A7r^zArpkbF)+I~x4RODhfu=9wH-fA(DS;g
zPUnQL)^5t;yWsAs=l<tEGc+HU{CeFFf47$P^z+)-e+~Zi2=z0)458(H)x-ViU<+Gi
zKa0KDG?RQ5C5<K{m)AvH9Z^u}F)A<HVy^rF%wF7m6N^X4z+Mq?1kQ|qAZK>J=YQ9@
z)){SlAu_TMJ5j@}y2f<|UHnVfIS?3J>h);o2li=G))$we=$@gAWaeL!u~;dqJ5^?V
zX~dTFKp-yiA(+=g6+*)i0MIDxnauv1J=4*w$~z%TtwO9l;<@qEY1uDx(B-12x25G{
z!AB?VPqJ5^-FPILLK=8`0<1``JKYyq2*UL_awF$nwysDIz6NbkaBm=PHu<u1AHI?2
z-r}uPPlfAooR$y8j$AQ?>-SkVV6d;l|Fujy1+WiXEGhYzUmxe^w5LA6%B%Y5G0nUg
zr$iaD!IMC3Fk-<P!M3!nF#tR*130f>DD4$iHvzi5BP$0(?26v@1CdH8NCSavCYuYT
zCo^A*mI<~@B)#_hp{be4W7d|axEqwKauX%xW;LX08M1`iND;`LOdb-gpY7cc?4HpO
zB<gKRyT<5)fwo;i{a$JPqNfzg!$xjpZ-2A2Q1;bXeJWRis4*AAEU!X0O_)OFsZ>tm
zKuItJ_lMyL5~iaZ0O=pfstDo^#wlBpv|+MYK_cy`JOVzFc6n0{@sQ9N;JZEct)4<p
zEgq9_L3I=6Q(4IePSetPTgpNABk8QDYjXXTUwm)Q?J~H|?O+YPEs)CeinDFnOO^^O
za%$Vb%Dxd>MW-K%jqI1wP$Qe~er(n6UuN_DD(|}$VL;3=h5@O*!b{+=9$!>R#f^@V
zk-vZkrGqE-=9ZIwqmN86sGeJ@ythx3o`U-__*2r25{%r>5ta8`(DDVk{7i~rYQ}nu
z<QEw~aP6{OWu4;O-w^byQwA&!T!s(rV@fWRe<0hJ=yU?ppm$PHL^au5mgn4vhR)2m
zxg>T2|8@0IkW=*|h(0p8E+;_yG}Hss{sFg$uFfZtsX=ilXYs0Y%Z^fJ7RDBV<&OT+
zgSlCPev!``3zWm%=2n{2Vx1A-Q@Ng;&BcYuYa=L{&JUWKK~12KUAH;womN)pdvjB?
zPQz>sNINR0_R%onR}Dnn@<Vd;Tu}*tQ)u9GYd+<BNmbMH&mboj@e>Al9JBO^t%WN_
z^nG!uNdLZ)pGXNH&l3MB=A=I>!*%Q8paxpeNRZH0X`P>pEH+yL=?wU8<i$Ek%<+A1
ztbz<y2XAwmRR`d0^9qkxUbw~ScIGaWIH%;a8Kgi2c<R^ZJ2Mi|sp|L-b_KS@nu`S{
zCGF`C{|VFF_lC0MzskHWNRZOw1W3AnvQw<FIe80D=v{3b=vO<{LoKqK4Ctxm$3=eP
z;RwY?7#~NIroI_ZhRRdJQzYBVfiYT`ZR&d$*WGwH_m1M+1lbi9!wl{2RE1QqC@CRg
zSQ`&@PmHM3E_gYDj(JON5x;!C;A<87vhyrD&hJ*N_ICK!eq;TobH&mTiFDht@2XDU
zPsY+mOwflbmdQ7+6%k*ki}`xv`yg4A_c_FuJqv#YpKvBFSRVj~p%PeBf?mGd%dzxV
zX@W-F#pfC>G>C;9Kg5fCSQ>S?Zh>G-c>cNotNT9NgLqf>pl|`B7bcQH$){=SX#&0<
z=fdEK)X&_t#NCsiF0&Dnb&-K;`vc$d0HkbqqDX9C{tJ<d{V_;p`(cYI<i;uOa$nWQ
zcQh?E5%eFsJ7i{?)t^fg!XavjvhUK+hko%$MA^KHk7vgEGiz~rvYG1D1;L7*f6SNB
zzP9DIcyc?xys1K?5IrrlK=0B>Bp62pa3Z-^DHPR3FALI-xcH(!foGywe;a<3wT~Xn
z=PK+cF|WHmQ?gV^<ou54k2RcNG}(8~U{~wCWkJ;jSAtUuK7cbE_vx8&@pQNFeIK}r
zGFL<>0fgvw7?;m|XvaErKBdEZEf)B4;P0Uu%Gw5~JX9p)r>ot8e`(KIn?3O&q~^qS
z7`!43!%3?hK%Z4VIP_cB1$cl3CwChTw9Ttep&z&>0d%vkYHL~4&8^Pn6v-Gs<0~5L
zwWIiwOn|NKSz0X|wV?oAlAgr<*9i;Vsjkt}r+OA-DtleDloY1+H`mWt_^NvI8K*O7
z#x@Dvcml|fDOsr637yGKP2FcR5)d!DCB;!npSr_M7uK?7&oiJktr*V!@VdOHk7DR8
zQpOT}2}2JeW=4vEAksG5Wovp)u@tKilp?6OFnAp2t@!k|1a+N^voL7`I5uAnt<8!|
z_!6o=OupJRdb$7oTlOzeWk1Q{$^_nuZf2<m{f~0=o{*uYdr`l+CM-9<_F<kQAUA~w
ze}T~p-roSbXy4>_rM-fjN0^`26&kr*fTRt>IBvg(uV6!e<<<TZ4d!a{`Rpq8EKBy=
zRPF*Of8Enyf&f-BqE%WfZ{O`UmP?(aRPu{*i`q`F4SvphH^m%1)J^Njf23o&-oI$*
z%Ul)Md|K9?^lBJw6dV?w=*}@{%qQ>iL8HhgT=_DMmc@{)XhbZ9jQ+;lh*lSYPxZ@^
z)x#6&9&OCYZi0W&R3icy6GfXzTRX6|)pr1C8XZNe>VEahAgkV<Wu5uM-VvX-2VNRB
zadmbLHo<%xWC=%3Yv@CF#g(=l)~NqB_<S5mD?(!5BEmWSnZFCL*nG@36f<4#a!h28
zOZv@&4YGfO?=*m4ms3=G?QyvrHBHZPMYdw!D3q$&2HvTsJMt6QM*QzuNyYe#$dDRd
z05s=0#j3(?KN0}pEj2zL^DC~}XM9-Q)GzAiEISV$=8Pnfq!8Id%c|D}c^}wYddU1p
z?q;lM{airBv<`w9C|4TvycppkKZgUo88YsY%nTs+Q^!;__^<vw8(b^PzQxiqC)Ooy
z>Yl(upIYWZoNAMcD}s`??hP^G88<D9q#Ce&jQw(;;t%r}1$pYym%YJRJ-wDgx(WGe
zQKRHH-DD!ASF#(wy?)J6UGTyy-J}xjRN3RGb0N^)zwW}^9rfrb`?uHTq;(wMG2>y|
z0`v&>qPI(<H(!6ImaM?|VT6GwY#RN!8RC+m)ld;$7@TiUmb<A8x%548KjKn4W38j&
zm}fAjxnF1U@|%g*x`$u&y)sI`#ssF#h<m4Vint*z;7v2sdZox+@S^#V8Cv|IsT3-y
z$>*O?v6Wmhev40}(Z0A@cAi!8lK0c??^sB;E%+y|SKKTqTPmbk;Ucpa6Y}(w@f%P)
zZvI#XTL4P+roIr6AK_WO1O|y4pSx@>gt)6TI()NA2mVPPuVQ5^_x*0?BKI+zR85~?
z+?Re8qZ2yVzO8h=g}@G~Dc4GiZpE~pJQfEw3DVQ0@(LB;hf~ec40;LF$~kr0?3iZY
zyPl&SZPYn~>7(bx`so_|IvzjSP%QE*W%J4p$<1#(^UQnDt&k_)P`)oQGRLckLkZ)Y
zm%+@pH#UUb(QkUtF~qDqRlCZWGaS>1@GQgjol{76UOe={U;2JuxZTzU=xc3Cb$_F@
z_yx1A>Vh9>v;oYs&%!ysetJl2E^YH0LIs><DzIdJ&RI4S^CxHFLz4$fEXFGXwa{JF
z(wR|r)Y<xBmvT3a8)fu<N^|H!(yDSTzlzgP)t7fn+1|H=jQmseDb2Bu+~qZg*c6!h
z07!yXRw>^|m96rhN`&ESV?oW2uIm&9l%!ay*slY#<itK9-r=9;p#YGE6eT#0a(C+e
zQ6Hf#1M;MA-VJV|m5fktAmx@~zDy41E0vJQXQ~;zV$hKweepApe<peqIiS}CFav9x
zf`%5GTse9c%UbVsbAf5?1XOhGRuwY}3K%@*)e&00am?{!&vGC`dtB4b7O0bFRX-Qj
zUjAur?-Tk`a$#OEBK!ja!?d2B`+YqZBWMgrOkQyLJU8;_Goec3DHwgKWJBk{{3d*w
zjP7?c{AB$@smVRaO&P5^A^vDRmC!PeUFflGb0lrni|R7Q(`K@2-h_(P1?^OQO7)Cm
z)cxRd6P&~xn$+~NkG5CC$O_GV^u{#ClKPz}t=J-mWQ9n}6HLpMplHB$jKlKwE1oAt
zOQ%-H+TN4MSb*^Q!p(8<sHa4d>Ww<#fp2f|wTUV}0l+`pn(i}Qyv0+s7;*$ndp)9?
zPIa8{1V8YG?(;(3Imm_K9o+p#`4sQ;(}g^-aP@#+9kvyZs1@d-*X<>5?xY><;BRGt
zL&fy3g}Cb|c?kZa|6QKU%+fbB!k-r-GuXwML@ZxtzY!sCeJ9=Vv!3AK+Pmxv9>qVb
z1{|ym7$vRP^~UkAYDRQL7e~Na=c2I!6yrwu6`&~<oEI+nP0!CW^yHDz90Rg??HN=!
zrkv@-?a$h<(mIk>rWScbtcbGqN{7Z6@YBZT<w!S674!y+FEhM&Xo{JGQp8?#io@-f
zMDzg(8K(ZC<ifS~^ppxd3&l4%IzfZq(NvG|97pSbGwB3B{{W|H^cjLqhjXo*_3)eO
z2lZ<G+orcXc7(=NoY7*#Sy+ySVra_$u1V}Y*sJ9R7zolq-vqHgIVr0zxb`sm6vr3f
z@l{M}b4uN)KnYkQrMYz)6r<?>poRS}752O7NjK-I`4iM*&XP^hELE$j^X)^)QBegB
zN>Ex-MS+@6L!U|=N4#W$Q)*XdA?BVIvMKAXY8T*7o5N-PQp*Jx@y`grEb7M6B9u$q
z0(`k|b6=J-5%mvMUH*Zw?{O2of{p7TTN-XaquR(U`al{CoBsaI@U;@h<kNromZ%XQ
zO$B(Yc<E6ZX>%XofI+pw9F5VO9qXyayrwo^y{6~P%9&Dg3v^E5Hg^Cc3K=NSBHth&
z6rCV*w^`;tDBWDi<y>G9Lpf?-{Z$!!#OhLm;Sj*^m;ol?s_vq!>W1DbF&H+Cg^=1$
z0rJ~1D%9~PmOj(lKgVU~0x~8fa806Neln)x<d77j`R*NFK6ObnsLA{cvr{6kM9Tjy
zh>tdwL1g$+<QabZ6rEdDyV#2zp6g5eAA>-AzcObsh_di#l2AQq8EsZz{{SQ8N#fjz
z!b0r{z{(}O(C>DPq++|?k-8{R41^+(t_6uRLu*8{%-oFGq$ci+F4Yv2G;E5z0O$v;
z=uU(qZWT<~g>2GRy$Xn1L)qY-D_@fEz{~L9RQ~`-4%e_g#tV5fcj!46lNb9cD|gRC
zmeCxPnHsvN3KQ8#i)kj4&~!O`dOad8dstLBncER=$0{X~^3#Ra7!Zfo4AVoShH62P
zZ?U<O+sPG^;C|~utMQz3i%6L|*wh*+E?f({I1`6HUXET*nsBh2sH+}DB(hr+g1K<K
z4Nt*E#zx#LzZ()wYhx*Y!Xyv6{Q_-Zp{jU;WEe0!q9)6e4#|@!OB9Pqj7c)sn_ChY
z(+{B(G)dW~Bgkh{`hMKqlCDEC!Y8AURb=#r<$p#3c{mfdpti~vGuV;@WM2M3?K5XV
z(d@^u<I95{*>|C~D|!^A8;dYB;!w@m>j&D75XR$sn-AJ3u-~z>M^q*zvRRM=r$LN`
z8*w(5d`fV!a|RmEgm37*4I*yjmxUUcwfQfOTTRCe=dfr)rCt&WyX)w)#)NkR@T~g;
zw?djCEg<7)U1n+QhZ>2rPYv$B?|@K98Kt^&5=}%eSc*6pW1VK~6~0>E{uoNW-}onL
zX>zmw00i5)i(mf$2MG%e&tdvIKcVbtDeV=1!vW*}0PE2SA-#X_!#JNe{{Vvw^F7c0
z4tZs5%j5VcsTP1ade(w68vPXtF>&R{>g^BM%GTTdj-G7&iNTlXCSHu=aHq0!3%RTj
z8{9L>G9{%U0UQ`}CeHRIQ#q(zYBjRvA|l%>2=fP#K0VqtD)upg=qcfWS+9sOR#)(U
z9#<o>1^kvK+1QHQ$d;~0f=!e9EECO0F-qVx4H8yijy##J3p@BQP&<##LJ$yh7FhmQ
zA(2VS?82GM4X(*DwCKr)^kPnxkhvDjG|obkV}Z^-L#>Nfp%1$x#UV!?ghm#V95r+@
z>|$%?A(`VatMWO|xmVvtR%$`VpzurCZpz+9qMUvRN+U7$j)#OboHm52dPY1IC!}(L
zvPigC>5C*6L*rvj9!O={r9>8GE3kR40~Bgy9!3mr6k8W)OwNE(sVFPk;Xdg%9?1c$
z&r{h7?KMD4WsU`bC=XcGgG>WbOAkVc$M~_UT!axap(ZRBr&0wi*b^T=nU;u|$jB?}
zOj?u6$cCsjEaEAR=wfE%?P#43j}FbF$%Msh(Sj9)q2vDm=w~3JpKzXzBPkJ4!lTzk
z2hR;?z`iVT)>FSoc|uI=VPJf2Q^2W#7EQ@xheOkg7LIDQXu2W5)|4TU^=QipKE*K?
zk(=gTUeAczTPgG>8k&#Aq}&}i#WFBv-OMxDRye`+Pxi4Jc1&(13r9_gPvwdHiVk8^
z88>n#hVWjgk&rOuN?46cl0`dcjP|%AfpDeJkviys4psCr2Uy>s&s-7W$qhsFNl-wc
zX-W1K(rrKfiVF%+fh<xh_)*%`e35|w@P#fCIg_0uVPB-j^1lF#B}}neTO{07S-|w(
ziO-Q(TbIbw?QqNX%li}C*%i-f{fzeC_9bjdFl<rDQemA7$%dOSR`Y|DO2Xzb(9<%I
zj5sx_;L~@mDT85bby%>N(z(#7azh$eEC>OFpj*6&Y{*K`O1v&X@C{BN#gRf4%520S
zRGt||(8luxh0c;EF*F$_O`!G9M?nG~tQBmflsJH{BP4D_ivwc}P<b{9*>gy99is@w
zX&AWZQ8p|Lvos1_CA$kYhQ=W!W>B(-L37y9{8rIo4Uw7}<>i>rN)N%RC`=B#2eS@U
z7RGUqlxU(e>v#@{_bO6Y87^8W9K@AYax<{jU?*FZ?8z-s$to}?k5ZaCI9}`6D~gJ4
z!#EX|kk+l$LKHjM)}sU_l(?b*Nzxv@U2L}$tZKmqnLIIO$*ampBCmkTJq`$C$L2@L
z2~{C5XvS!T%}g2M#}|fQ$2c`j_60V6H-l1>j{Fl~+uj^C3}eq74e*B8pM`^k10Bzi
zl)q{uRnA5(8@(v*$);P{5GGfv#Z81jtC6%K9@JPhvc01Q8eGAKmQrFj0y8bXQW-y3
zWP(E`$b3(i2NFq>Gm%MGU_%@y17gxIqN@7Qgj-w$oTndRKkq=H<qR5rhQJIvUQFUz
z<aFitqbfV;@H0)?_lkVX)cM516<^X5QnTPhcGG-=>|Ps;9c$w-w2Mu(!JOjsU3nf@
z$q3N}Pa!drYgBv?S(+E(D=&i%5gn)$xh2~XE5SmnrK)og(8CaMK}n%n(jKosO;}M2
zw}B+ikW*H)X=kh8eo(zJCB|hR?Z+Z=;=*;Qs-$x%w1e2g8kw<1CL;o;(jPN<FyyA{
z+e7%olH@H%Z?;rZrL2rcVSAFE5H@IeZ9kHz?!}R;d)1LCy_hMKnaYm!EQ`o1p;t9)
zC{#r)SkRbNq$VtvQ04O-^f0ZKAghB=J*6RoDx4L@{{W*QHXIxbo=gq1Xl@4?rV*vC
zMT1Mo@T>4PUgk{6#4WGLoY&acSVYDd*ph(_a?a+7gkjNIc@`lwL<9Y>M=Ug$+Awk~
zsnJ5tqJ~lxt;gtDFwRhwG7Zcgv_qfVHR>O>r-M*Jt|2IAl@oM4oF5P)MkPs!g)<T;
zR9IFMoy-_Q@~@)Pp^^rWW{hko+mMG&3L#FDJ~|9s6E3<oB|@!oh9;IUi7cE(?nGGe
z#%AAdq15X`G&&J=m&wS|yDg<8+h|bluwW@J!ZNR8aIm^KnUf=pld*}IF-#ZiF1dlY
zBSD$-1~*Q2M{%&eyD8}%_-VOj-RNFbQk;w?Xz$)0<RFZ+?r-MD(rQlRZiTikgljAK
zdZTTL_#(mK4>;>gnEfEFcEgvu6TB~w@rSW>7n`!t96CG=b>(EpbungrA9+JZc1mg+
z7)i-U-q@pQscdnGY1&<i-SQC1#}M=Mj)r4a`S^BXt#*mbxm=CIwgy-v+cLbl8d*_N
zQ>=)ivndZ2Ru~k?6zmC)h)-CX(IPXKXkh(03$l0%;6da#8=x#UFKI_CDZ{hV*~ER2
zs!DNmJ#I?n=uu?fz-didO-k&;E+DiMzi*f~zz)PU0ba!#t{9g$PGfECpgxROgO3o;
z2BIuRu*Ihaet`}S0;2t+$y?AzVxm}MX9`Z_A-z9Asz>ZVzcyvjE{=T@<WG+&8wfIy
z$_Wkxr`9eA<U>YlLNl2y3=m$235Z+jBb?~=l}NzbPmwVuOjOm5DNHQ-&oF?LO?{%L
zxJ+Du7&6I3uhuBi!Hlu&T&cC8YOjPIR8coJ4^oknV7Dw>2UZxI>%r885aJ9F!)_0Y
zAab?v9-?LpgA>rQ7<~xNNQ)1V>s*YZlGp-8&e|dK*(t5ukY6GSwW4lR6_Bxk35oB6
z6`x%ZE1t~_n`nyQ^=a6rG<p{ThX#vdq{0%tiCcvNE>2nMFZco(A-`yD%#O&!CcTO#
z@R;Jf7807yO0SO+_$y^K@Dxs~(;6tSL6cD5S~(ghGhmE2kyZn>hmU2Wr)F7VY$AFW
zCXta6uAFWd^M`376U=_cMHojxHQ~5mRBs{{-VQ{mR697M0`!wOvzQ)@T-HgXNfK>h
ziWDb^bwD(0Aj4piL6B@D*&<ZF5u#N@g-Oqm0VFKjG6~FnZ^JST--u4F$<vQUIy|{I
z!8PQQ@i=ymlK2z+37;t$?szD6=vNpd;HC69gs4MnDWHbIc53ucDyHCeKhPmqD}sRS
zVDwOGnTITp&2?E5bO@$nV_4^KZ3*SUqRkg^U~+GveQOUc?g$etR4bOp?o<Y|e_$d}
z?gkuP3rco@<q_FxN*JVxg#?Cg>yiHez)*PD=t<Y$L+vIEfbPIl!tOQbz-pI;sP-w6
z=CBxM^2~=G1|XO=j4q<(;^*0)^gBu8Msn{@lwzp_zl0r5I2cl$_)ZI1ypPdXT3&<~
zZ-{UHU^i~pC|=GU#+prJ`M|L%sq%DVXIQ}!vfVKdaYp5K(2mxg*|Ds}b~_%>_jwL>
zlv@)cv#_$yLr}vgo<k^lP<?|l@JcmAn9nJ4CaB^JrIf5=co>@2C(!oFt#ZzLnrKS4
zuKX$+(8f`DmC_>#i!sJvrk`VrP>LsXFSO)p8o{UG>OsXIOmyd$u~jYwhs_k%V)J;7
z*l9-CkRr8Z7IYdA)fuoo{DeoXNi;u>QEyuh4-+E|jBaK%Z^*$+1SDSJ<!K`1F$sa@
zpzJXS%1mmvR>TX4OcdJfFbrs8dLLy_UsS}6?wcRCbI8K_Mrk+5#LCRG2)g8$w;UEw
zF`(ICOp!%x<a!Dj@}IFV_8lxdjrB=`6LWhuo`H##lwv(Ba+!E`wl7M5M%{_*Hocl@
zL?XHyK0XM<yuxB`!SblrBn)JHG7J&IS@XeBgb5<9d*E>z(DZE4kB+H!BWp8;p;5rz
zXOA?cFPypHO)K7u+=0%viB@K2UjfBdqEOeCHwi_K2qiqhV50qklolz(>|^WflzLGJ
zw9^lj0+2lmUn4^<#FtrphP2Z93+F#UunDR&OM#_k#9>HX29(teIxd);9;1mwniF3=
ziCqL`eG5Wldj9|gO|Y99baJhZQe&Y>N@hE^jU}UJmm^Gl)3=dK$|XJqwh~bn*y0EM
z_8vaQ?4zz&r9*JN=XWBVr7xUb{I>Eytvt7~_%!%z^(oN%6Kd<iiI&or!j==nbtepd
z6g0^LqcgEyHI9<12g1@&z)cto8x1IkS7e+{7bStJH+_Gm5x_)o$+SwSxe9h~e9WdP
zIYVp7B>@#6O@7iFuO&9y!1|l-MLY4CW~MkFyozIir*mM}ir`P|sgPa%#3IhdSlm+k
zIcxLE6!)!ONUf8^9G0J8#an-%m`NnS{{TJF8bGx(e6oEfV-ZUFBX%wWC8hLqFr4^L
zp|;qH5*9Qeo5~KD&QQyo5aT^AL$;$rXlh@lgomYgMr5YoMCz6V?K9ST7~Ctu5vKYR
zG<-}I&qFW$2&?oJSm<Z21KLLgDx6ISSgISoOq(?34(Q24sW#rpo(=@USL|;vHz*W|
zSnT=5$#oWoJ71yrB@N(BC(($_pTJYbeoMu@8TuwKv|Gu891l%kQr=CCRV9mbBT^uo
zX375mIx@7QOkzbb;zQcmkRR9~tvl>51|`}!;Ks_UfXO@!;o#;tMqo@}L`2zoS~LZ;
zo`sal1*WJh8(>y2pwOEYhiRj?r%`6MBb+Um=R+y6W&0Hm$i@U|TON>(h;E8ZX@LRC
zH+<?tM#GqGAHNUtj){7XccO`G&O@>Wbs{Qiuf+|2hdNYR#t|2dhTvvDA(3*?oaU5B
z7Xih)ge48~JD*Y*rD~NSnRTTFRTDynftLxRDBq(<5jwPRp6rOJ5?bV6HDI~9yjryu
zmRDIxnzKIR7qcM_d%#qcmE>L*$k@#aN0i|A)oe!F{7$#6aAKb#)4_A`nG-h*sSUy4
zK0-AaDhlfLVd*Z%Y^KJsB0@z0>PB1a=i-S~;%>NxCqZu5RLhdP$0$#_2lg0U^+4gV
ze2~1oeWDd{1(B)`KtlP=r%nyI>r79KTBC&|cL<^JwY&+KpWE=Y21tzp^&!Gd<6Bu`
zDOC+#1T@|q9lMf*mjc<P44K&aQZQo4o)~Z&KMTf%_8f1VoA44Q;p}*HGEl~%=gAwf
z#hOSqM)0x7o50HB<)PgBO9NAr7FZori;yYO%t4F7R=~AEn5&|@BQPswVH9Lo5_3@v
zJjh#Wcv8t!FyheCaorGYrDuTx_$d5_IcQ_@A)GO|q7wEoGm-GwNj(fWEr8BrVR{Cc
z#DtZ`2vk*Rgt?zH1T9ID7&%Ov86reBqKzvi){B}mF)so7L8vKw)f}G%FpRS#D;<Hd
zbj4W0Q)h^bQE<f?h=%@#v9&!RwWdI02BJbEVT~ge)NIW%;7Bvnm)mAxn=@GDE$!Y!
zSh=xIrpQC|ZNecjfjD6l)z9!dOqfo5Vur4j3r-EcW8$N?$eC`>%lz7fp|2w+@&}h*
z{{X;;{vT+$LaAGf(GRfc<&UqFhiM_ac(Y*`u~^vh=J;e@-*$2^nrm1-wA4VT8)`e)
zqdd$;5NES`P1T}ZCWNPeu|{o^V(95R0&{eTo8*oJd2f-u$ip46V{}VztO`gMBSlmv
zmO(UyC$lubv37>pa}I3X5Isq$BjsU8b^b9lh1j@1GxW<%&MN5lFZKn2)-kLnFdm4;
zNs<#R*7fJ;#qrRm6_t;i$qXFwhDL2L)RG$6yBAy;nk%Cc$JoUY4J{X?`XQ(e4WVAD
z^gJ!Bkx?6)@H?)gr~U~Ap4%D7Lg{30D8V=E#o9~vqM=>3L)}kh8Chyh5chY;_Qu5}
zR7kTHIyMy;=`RS%+8<2thoPBBusqhsFv$)^>e<Agq`m>@FuR#LA5k0Vpjd1H@Kes?
zVd(kjL8j9%InYfFW#zWEBP3NVZ(yOzW(fwE@<SNsvCS3pJ0etk4T$MOM5wUlirMrq
zmy-j?-=T*lgv)+I4Rq+5wpgfJ!w3ff9s-)o1(H6Ql1ad`smsp<ytZC50}~}MlJt$#
znIJ=Q@aQOq5iBzLps8>&S1=@K+&g4ED`Ok4NJ~kF-iY}2p|^?}6c`R$%1w;XgL3n<
zG2`q>=qa$|RT1NpGRP)qlg$#AyF>oA!xGSFhJ>c}sf)~qsYXY)P${k#1X^nBYiIoi
zSctfsjZzon7!{h<9cv;Tk^Hl}e+e}f0i~D5AIK?Btcc9Gax>?!@XMk2f16geJ6+_p
z3;YOwjQl-<XkvtPD730)lNDYsgab&+NtT$Q(l#pbv?CiqN+e_=A+!=hZlPiO3SG$B
z+&txxv~{GLY0+=NbkS9H@DN@O_ltquIT+y=P9bw>OAKmU7}a6=2JWf(r!Yg9zP6WS
zA1dWn1$A-2aavV|LwV7;*=(GGR{AngI$Y{6*sjH9GQ=#PtU|s<O{jxIBD9<<b`cv#
z@LA6nG-c`yF>c2+x)&z2%viM)J@~Pk0>bQL?4@}TPMJm#-D8UMJbKDF>84M+mMc`?
z$^Nbfx?kK?E+pVO1f~an?vYU^$o@nRqShJ6@X}5p8J`k($-PB1pCXb}@NSMmL8wnQ
zd&xwdfYcwr+N9Fij)a=@EF!uMTBnEtVG?O{4<DZ<>MAI7I=w~M;aDp>ux8zTm|Fu>
zq!=+MCeqYPz^Ab{(K3r=y%7j<#MF{pjcvDMR83e-L_BqgqEvX;?ICraZ!BA?<EWf%
z$wkJU^+Mv(vf!|d#Y35Vr%aVgX^4nwLo?W}wuDi+VXHobn)ib+FD*U?wuj~m>%0sR
z?T_rS)Z&~GvBt#*Q+~$MMm>B?SAy}fg%6e;0ZWaFf$KzZs98)I#dsRAgj4LpLrtxX
zNLI@5jStZcCd|V|Im<_ACPX&iNr$sE*shncwVnjOLo|$&ET6#VI#&q=a0go`7*mjt
z<p>clc(t4u2rvt74}+R7<7Nos?UZH64W?WyA^gSVi&vB;0T}rp%h+gkI|?q&GQj0r
zJPRmfC$Vy;QvtKu#vK%4@CO41?RrDHXD7p~jr5#t{t_4Y9{&IZ_&9P}G9rA_GoPqG
zj}K$etd|g5H4wBt*CnN8k6&$R45>8fC4^@OqZm;Oo4O@*Fw78ZQzfar@H2mYP}q(w
z$ZT6SaxiTi!r0LmtdE<rB1V&-$Yzw-&tWb77{9G+C7jdXbYD?0tI)-ycL;+zGD3#8
z2Y^M)Y3`W0pKXL~LeIea4A|(2Bx%Hx@N3|61fd!Dlv;>x7!{yVh2RqmH%o$XMWvv_
z+&N+gegOt{x*0VqWH<?1IR;ky5{ft<H8zxI^QY*`<K-4HWqcRRQ${*UQQOekC32~n
zvLM<Nur#vBrIG5=Jm*wcxP2T!*pGE>G3R~`i)GNwOSUN|C$k#TY{7Zq(X*nG{fT3+
zb9UhwMcAjxL)iifwyuO}m>R-9fc<B<T!;&9kmtqlXxjN@#4%o>mF;USz)?n$wol;!
z@DG%7fv`7HdN$#RS9=n~ennt&m(YaA7M~(Y5(X~J3U^GabSC6yOw6rVY*d}9&XF+1
z3}BHUlOs*$m){;XS|Ooa1@t&VP)W$Ooe3uKLnRA>77R#sZ6k&Q%_oDE@W_y)z6eU8
zo|Jv4qU#w7niC_=Y>hlz8dm8fa3qAiOv1EQ;<_P3knWqnv|))2$76vSa`IQ*bW%Ae
zrM3noO~ww-Y?t0d?@_9qnEumyCvsRoVuZ+lS1E&&Ew(SF6m}syOW=pz2pq>lD}mu}
z@qzPy7IBCs8dGB}^2#p|MJazaA+Hc({2sUTWr9y<6pP1)zY08LMxrv1n{J&X9Yz8e
zFL`DzbmA)O4#zcZ`ZgghUn1V)rd9MbsEVIm(+Ji`{zJV=A#ForVS}cOt19_uDjs9(
z<OFZOw#1cpAr&Jkcq<9DL-xT2NZ?;3D64d>1OABRusjP?yAdUbRNGy)FAGE}42R6E
zyhKm-<2!n$0Xx|hsgpuj6!18~3~H8RR|`jwX9zkj6Idp@rcsfWnHq|Gf^=QdnN*il
z%mo86_9;=Z+i6lKE-+;&GUPPIiKIUc3E?pbM;ltkcOrxS4}!-wQNu0NnIWK<(=iCp
zS$R^`M}&)h7kI2}#EwfMFfT#k=j7ymeR>Y{p~6?$!5>3ovqB#ri(}JqI3mMFb<1fE
z#LmV?u|E=wiX7KcFcE6dp5|EOvi=i4T^c2CN={pIf}yu8UO4YD_GPKSzmSm!Q2Mb4
zW|V`tPbYL+zV?UZ>G;h0a9JPBJST~QR#}myb{IR6<-W$1Pb(E`t!PI$+x{4Z6_NsU
zOyUJE+#eHujipm`lcGE8gR{82u`c%X{c=5R*&Ky2t3!NaGgNxASjilQP2(pZnAu|1
zi~#P&OJq(0J6Wl6We~K%8?=%#*$WMJ$V73;k5t&WvyW!MXGmkAT!K<m8`dMkPl0EE
zMWfL|HrpfRG<<`+%0kbPbS!TWoY)~^nL<@Pf!=2-mo~XD*33&txZs8*8Fk9;OmX=a
z@V97<fjJc|qHw1GsN}HLh`Q{^b<o$vT@hwZeg{?@+XPE|#xE~k7nS}dA)NSP{5Hz>
z;fpfVS3Vy6_Jk7?9s|!}X^L7>;jJ1f;`k8OWx&i1y|FKcl%wT!GPz;5X4s4Hk#?KY
z5uA-skV?#Mq+kkKF5Mp&5Q~Yo*$W#U$0InhedL+07d;K-<@!P~F?)o{S4edI$NL*h
z0q;(O8eydy4(!;R9OK9?i4cn531WH?$h-*-Xyd#ySU7B9nLIFK?#h#6aS+Wq{(_d*
z#ffV#*}f?(2wWiF$&o^ptaVuArV#Hhf<leqTpTe^M;Qp8z{E};@IlS+*t=Mh)ZNZg
z#TzDl<)}FYBcO~-eG4~o7m8%K4t*9KJO#*#NI!>L8PK9oypUId#M{mMFt{*>({$v6
zwZI%wVc3xJYO^#~^osqj;7Hr_ECZu9+U!O4h-4Rd5VBx_uNxO?D;HVt7PTLu??XLG
zF94Smz2t!n$0I1q4R>#W8wy!Ohl%i2(pF*=%44=E`v$7u#Obz>gKTD64ljuXJ|tz;
zn2Sk1GDp)dp`%i4Bd3tJ+*r^lA29mcBSVZv1|S?A(2-pmfX~zzfVRSe-yk<L<Bx)Z
zqn8}JJ%iy(r5wm&c2IUWvYs|gjf#mpkZpQ1ao~GIeX~VMlK@0GLT(C*O(Ay#M41@K
zdDEIri9h86%;mw8wb-Yu5i*tw9MZ_gpwObTDnt_^(~3KZLsNn;Q{>2o5od2?n;xf_
zoU-t|RZ3KZbP<Su40`-tzZLke#rU`y{7Zf&%g<vLRuJ=>_z}2@)8r`XYv7>Ui07CP
z?TyVBJXqm?<kcO*Yxdug5Ta+fUnA&H@4!X$!mnclLE7*F3O+{;F75~Qpf!!TFh8z(
zm?;CxVB3Ql8tIn}ic9Hsjpaa=?i*x>WQnkb;Z*Q~IAj_V`-?iqEZ9twLP+EwI*l*|
zD@ed-@jFC6=?#(il6;KZEXazs$|7N2AEC-nB|#Sv>3j`%1o3Tj5a~4j4(|Az0=W}Q
zX)^vYO%_I5ANdNV42L|Iz|A&oZX&YkjzPpyp39{p&>~ff$<u=a4y)AYyBat;8jA#+
zgO`JXGc^7r4Qe^#l%-E({FJ<}CSvUt?xt!8jkwWW);n1di3!q%Oy#G8xC0^p&XQC#
zslTB0bE2`b#eF27vB(SF#M54D7nNhQ%2ipyEfqZa8w4~=TiDm4_7dX=Xw!o(GAW>w
z&m0D-Ls_7tts5W2dJ;0$M@<$n@?x3lRD1()$`#r<u(7!Gcq)gCirr-CU{D>~fgDjo
ziHnC=FIRIEsc|0=og3uNKy|8eImGV?F|V*O1pdnFp}i(GK4K;^OKX9ogW$9*uQW|9
zK*Fj#8P+T_a$AX*mIf%913Dx#D_IzuU4?9m(V4jFP_#|Zh*VsC4-a^TFWCn{OQ591
z>Vi|46qJf`&F*>7BhlxfG0T;{1&todWB8}YWXB@1bK%{y4FTq0Z4**OB-k5L&x{Yu
z+u9!d!Ry5-M*jc{;{G(HFX3=eKOuN&y&9dN#T%sdQndb!2tx+YhNmsVV<CTFeC;|6
z{4F)H2w7{0p)|cGpMq?TyMx9_8$yQ^Ee9*tC`YJW5Gk`rZDxd!WXR!iH0tvMAn6ar
zW@AsUGX=C6jl{&qKVm&B9!qI|u#Xf?{DsWw$GnG4$I6yDH`O1i;B$4QvtAV|AEFz6
z$k@WGg2<I<_HlEanVL!Fy%nNtnDTOOLnxW8yAas8O`)GBv1E|2ETTk_R@2d#sPpA!
zV~}z(S&VZUjk!juO^kSm`4wAh{{W^YsgFW$jcqgW<L(MYE}INVOHL5tH->T|q_~B3
zvqC^cjU!q$8u~fh8b|1a5nGfkwwbs-qVsVOH#A2}kLY~HZFa}WtW7<QX*UkhyurfW
zqiPe00II9ZXVPh|3T7q9tb{@hx$Nysoeeh4^nyu2YDs38x*GQi;KmcT0kEuvMHrI0
z2%^g{mG&sTK{3TWq%nUy<74*|T~Qb}ZGeP}hY0lz3_&F%=<eD`D_ib{wJdgq;!=xY
z!4uT!T10i``wb3%Bm6PMEiR@_jY|Foy)-R2xGORl$NCyYO$63Ri=QY?q}6PzpJPXp
z?hsB*MOTdxVS^&kw%-T1qbyjW*}Xi1zy};;lMI!#Bl8q;D9MMK2<A->lF8sEX$1|k
zxVG}Vlq(9I==MCg7_xrEeEk&~kQj2Ej4T#Y>_ax&tl)N3rvgFPRwT=TZ~g_?FvvD;
z5eR-wfpc68<%#yFlvU)%J;nv(!kw+)#?vc?lP6d%2YXHwdL8W6ja<!iMw>E28!VaF
zkI6QKTv=F-u%1e7MvV+?;LM&u$jZ=8m9{;9gpNPV_Dm1(T#5S-l)@3GF!%UfI$CFZ
zBs9X)EEwL!Jq$EliO?{?m&m5F<qPui(^x4+(SI<%r|2)drzlD%8`!6QQ!qtx{SSZ@
zfX?=08%&H}L<~rcav`wTJ3JCqv{c=6NI4i}rRTXRx|s|0XUKakcvN2va1qC*(lBoB
zpt=x>9g5f-K_LW;Z82d1ec;}Lb@qXr1fOAy8IYQ34aRdzZ7gEk#y9ZjY7MEP1S_|-
zhw!Ck!21+>XGP%<pxW5J#2&r#H^GuhPMjBl8J83jGk)R6-a#9t;c|8#@L8>#4_;F2
z=ORzw9_OYcT3*DopHmmY5^^+ztNvqtTLwBK!)qR9I4;<4#EHkTlSSFq9yG?vgHe_=
zOrOrd9>}wDXX!*fquiyy@IcpI(+Ua75g5QI_e?qs%JvYQf^<16lj#pDe_=Kivk#wv
ztglAEq<+IV+h|#i@dV~&^fXINMvwW>;r%|M;e}c$SowA}jFitd6+#QnAvQ!;fRO$?
z46y}dFAbGVo1OT&Pv^v&Ik-PjgizkgBz7KG@6h_G>K_?!D!f-BR$hkzx)I@ahuC8z
z_G4=gvo>!KlJR1~4v<cYidcd{3<QKKx`&-gH6fe}m@<^*3Ikd^Q&boP@1lTYs$NLa
zN!le$dm6Q&-eS&O9n54)HwGDUK?+pYvRJ!_T1fif$&F&{!$GMVg*6dW8-=N~%p^UH
zG7^3)5W|h=)F|s(gn(MYWRGLl_*4AU<Z1aeM(Pojlr$Ur97|>O9kxnb;UTA!y2K=A
z&epz1MR}E9wmMomli>D7DMVBtlH^tXoE({U$#0-e3<;VQ`LTHj*ZgBsTdyPFsh(#r
zFCw)N^Lr&egX$~PWNunQ(!xulEQHHOT$(pf{ya=~lP(;eXUY^@+in^Ibb~B>&2Tyv
zJ?w@;?M<pCd!VzKi%2uK*ujj}Q1$y$D^}exz;rz|1Wo62XC~%?8L26O*p+B@N(~Xn
zW0PXRTOWmPq+GeGu!n|cTl6x%mwOTVB&APmVUH9@CaGQpqL9zHnN5~!b&sX0?NWz1
z&KOfl@$MFlo?IBtqKXUTlaZKY?uzhooeE)du^urL?g*if<F-ElY{jbL81;Ulha+{G
z8a?q3w%s%7_Au$EUjZC9p|jSA8pK#{LR!Gup5}%-9x@0Eis?=Q{<qOBC-P&4N5Q~)
zjtjS8u;EL62&*Xq5G9`+BqBq@2O~sx_#)v_9(h*GYC-kyV|HO)vjw+?GlL9FrwlKj
z=y0r38KLMX)&>yv!m=_j_B0j>v>+@JiSdHEreTEcb5k3OV`nLb?U|ZuBTp*=pgPop
z9eW^zx#Za3wMfxQN!Uk8;6pWMC8G{{$k|c)m#%g*D46EO$j7p24@hh*1}D|*dqWG|
zh=!qLf@BfTA+BD*^r{w_wHVi6l?B=fGRqn>5J7#wR}bK46>gBUA+p1fGcpmMx%6da
z?26I{O_YhUY*O>R2X1E=7PiUoH0duCvb;SE>j|C`I!Vx9N66+8L^5{G1~<-XLM{{J
zWiK6zI>~cGVVXstDX^{@tbWz$oDc5}{{Z-h_;PXlmY*U<u4q|UuX;m}(>9o2`dQkL
zI{M>GZCQyknz=g>OJ8I=P}A!a;Lw|I8IGd6Bp6TCgB?gD*2kvwImF$8%`Wmu`!f-Z
zrlV9&->N8kW{oU*h|0uq#Cq|CVlr#7mK=KobYwKvhM9I+NKF0a8OB}Ye+YqR`b7-C
zLQKhwxL6%M$aykDP=>hLh0S{+_AEIF;hC$k&Un*fKex0#Irc0jzB!XzU)SKqHcJV$
zf|BG<MsX0Mb&077U3w-<2#Mj>0q&)RGWaXt8MGRg`FCLL{Ipjho1of4N_Dgl9l6Y8
zX)|^xAYkQLkCT8<gV<l8Zj)C-eA+Usn7O3h{D?=mdW5fjOvLz-JX9ifN4$)xuGwZF
zr7S_*G-6q&9L`T19!VTh4n}4g%L$>>kvJz9S{Bv8=vc4O3dL*NL{oN{LNmMW;E^V2
zKamfKxO6NqZH@RonD`xE1bqnRhae^s?Tb}MCxPX=+Km%*C8mYJeuw<GB&<iAjkwF&
z@tCSBrUMqC7n2$hJ_VxAMkN`<sTPYGF*Qa*o`<eqzY_`3Lb32_i4NpG5sbMkv6$2;
zR;hDq>5sC9z(JAav728;$-R1;h2*_5`h!oDFiyUNdEIRU2UiDRkgC^`L_LXerA=j*
zMS29?V0AH)K4NDAynhF>dJ-;CmC$Bf5n<ubos5s_jFe*-5tQeF-P`J7wIc~*8#a^#
zalr$UqXCW>XJ|McL~PBl=CVSrfmncXmJh6DK(tL{FDmd3ERD&BVP1v&m=%IC*vLjI
z70+Xgm$q5A)fVFP8DBPioo7Rg55xZe0^j*hUzwbZFC>&(#?s*~@?60BM;Y#uZv!hC
z8)3uvS*u;c;KA!?GZQFw?H)xN#!Mayb7_@^jjDv(C1q4njzCSjW{yNw$&X<RMkw>2
zfWKGi_&#98@1BP=S%PujLr^7X;Gc~=F~2kg_(g4@gN3Ac6v;*9A`8o%3C;+eyUv^J
z!Q@QsX$~}fC|?<PlF?Q8M#V+IpJp-Q(Vg8BsL*Ob@EWpQEHA*<c(eF<At2k^FF{{o
zIT3n=YnoR70E6U~VDD@VKId~%WP6<oY3(!eOM!Q1WDOgcv_RNzH4p5p3EzKO5+z@-
zK5<Di*jt-Z1M{;Bp|RT!&}9W;9EN4gurC&tjstZ&Vnpo<<y?gYl!Y8{h7?DAtY3>~
z=#Yzp58(|<DGszkQ$dEJ%QfjRVOggHWJ3K@6$>9ULT^EZcE`Z<el{#(q%r!EJQ$V`
zIt^RVsTsEnYXlVLn|^`}@LF4rjf-NCXP~Q&2Bp#piZ+-ODNl5Siriwy1v~{a;zqp`
z)ig6OK+6oZ5^URB8rwn>1nii0FdF?BEhRQwt*C{)U53_=Vy|Ihi-9s0Q%0vZu>@N}
zNr;58no!UrXRbmvm10D>9Rx$kjaEfX)JUWnsQB^24bhKDF2Q0nV7m>D`gfuDUC_O(
zvQ}JW+|t>&`W*_D4I#U6{=}i7t`55p+;ny!MU*W-?i{W{B-_+4s*06R{{ZPwhMZB^
zD)KEe$CS~tUD1}W(6!kR>}?NhdIWPT5q|tMU+}H?rSP2p01+wTl%swYmTMPWkv)zk
z>&a-Xe}Gb9B_9Ngm2cp!C72ASaR*itMq0Fyv*=)L?7I+XG|HhUiSal`puzACOT*}E
zjij9t+^MoawLwlTY=@vsxsDv@ux3F7#c=iTNXFnr%~Y;NW>eXlGKZ$w>?hYgxHevW
z9jyo%1n@&GFQ{wUc$*~Mv+^kqq-5JjM@gLGnpcN%Kz;k67~mwCo%#zSU(twe5WHAk
zBKDD}HFsQ0w+z48W6M{<qj8yiiebfE6!9R1{f!MgOCpTiIT1@l<A(hShrW<1yz&o}
z8k2=si7Pc(7aeek@Sew5$Ct7t!x|EnWv}FgdXmOR$g(XhW8-Y$%9L`S+Z$sOUM$D6
z<ZGf_mR4FHepF9|m1G@Ig`*69)+|%!LG3d6MfGmM64|mWwk73BMr|1j32nzg$!gVn
z6CDz*v0=`!P6cO<Q?P%gI8<y9anV$p5d_c>fl^D+aU`3xo79`E=yeKDuu5m@8)&%N
zu#i`QM6aQ_jT}tEcJ`YYY()0hk$~5;a*yETtd)eJBE7Yg@Mso?ao|d$c8ty5w#({_
zx=Trjqfp$j&AAr>$m!v;2d@_A<Vw~utuh&8;)YD3GDGf}&NZW_cgF%U7Vf75z`b-T
zO`2a^ijgZZ3ma}7&aws+;r{?ZtFgVVg}Fa8(1>Z_q4-b9VU7KW!=@n*pmhNamdb}h
zGPRR|JwVv8fxnnSlT>z*+F8z7yp(4+8pVR%&})GU%G{WnrWs(lI_4m%;I0@u`!UgB
z1}27O6n<2}DaMEG7>{IIoFpY?tQ)=w*h&JePb|yc4oJm08JcW}nGKjAtqqa-k|(u`
z7Osi;J%5RB!{6ey`Mv&6#(C>x$xz;iz6v}62o}mmfUo65D|-jnn~1y|a2nLj<Y&T)
zG%Qp%(4|^II9v(JG6`cjEcVTr`scANW(DBqWdnN>r^f=?Yh)SN8|3fYmg8!Iksn3#
z#8C*#fZ*wZ>Q{0n1!QbWT?+;T)D)_-=^sm0OmjzLCCW_-EPDpkWQE$Z5b~xJs4@!6
z?HKhVYeM&3ZW^<NFDH8!8`3@k64%}-fo9jpHtm71btHWLKHmtfp@U{<eS;3!hC+{_
zsjOHO+ORniVww72O7ca&04g<6dyX;au{$^wKhvfm81jE6a^Io-=KKIDrlrF%c+U@T
z6fShhM#DqdwzaadeuOm+PiGqRTr*O5O?e+;Amn2wOND|nM-d9!9T@>y%K%!2EdZk^
zo0?pUkBOFLFRc*s2HJF(xm(bIZH3r`$fbXDWBan#_XJciJ_nf@hXk68rz|4L23Nxq
zyLv{cWImcHX7DF`ybl|?Dj_}v1m!Tz-a{je;Bzf^z$k1nmJO!^BOO9OGQcv8F-X+l
zrk{y*;toPw6{+FE42u^gT#;i@<-Eg*gbQql`bIE4X-b$Y0wt_v$tKtw2)&G_sTf%K
z2y&RL&G@Ah!Z=TyIV_=5lta5M^a_&$13qR9pJ>LEcHs@DF1Zfoo2`jfdNo~aV!}<B
zL&2hZ8IggSkYoBV^O223XUW(DXpCWVc`=5$@G(7VGn(!|_`=cjs$)d9R#Hzzxo=oD
z*-J*b2}nTy085Q8vaO68GG8~t{{Rj0h)?rB4~b*1Lpc*6@7&hRC7FvW!mH5$!zs%X
z^}Go0BTlPl3TU4~Iy06vBx}&hRH7zx3E+YtSn^TD_HrrNjb|Q6N`a4z?G!A}B|A$4
z)5{_$4X81d;nJ4~P8H~HRul-Db6u~|l8+98#!rQzrBw7P!TUop7o3WwwwejeUFfNe
zR4ZZgp|CfRaRk#U{V_9SZ#)m$RL*-os2m7CE(({+<jTRxrLTf=@!QlH5U*mO;f>e$
zym;3rR4mE0$l&qfl+>k!e@f2-g@vlw4Y@_+SmeBl0#<Z}=z%pU4K6mfSINp*aA5lG
zF%rzf0sij_80ha!3T>~k?Or+?Z`e0ebe~nTp_OTN?4fBi*{U?~84xd!rliwEZ<WB}
z{{W#f>+bEs4Hon+?L*`p)Ios+q!*=UlsSp4)b5ys8en7p0Kpi)7X;7reiO*nSW>Q0
zeRRv5Z(<q;8L6(JqGp^ioFX>yr2GYNsTOG3FVPg}vN5I6QKG?Vnr~&17+r6Jt@egK
zFi#>T>~QQ@-NQmo<W5R=U0((Dp2riCyoV`)iVJo>R|&m|X;m8<XOW|O$kTLuL4!(%
zq&1@8%V;I}5l&3WWsh9n1MJ(83GHa89pyzSRhmYuw1-WR-N=HeO$p`4L-hy<sg|Ik
z5}7CzV*(S)7Pds*FXV<3^g8a$L`E{o=t6Hv4Qc%iE0`LY(1c}r6Noj;*nKbx3qdH}
zhHZH0HziB4`!HyOR%qD?P?HZPOiIyBEH9LTHvOH9^o*C}O7enot43T42|q$ReDWMY
zxJHe}9V$xsIA_un<D62!BH@T*B39Q1dGr)vI4JzT@*<R_{{RL2ABkYr(+qkxH3C-k
zB*n_6kq%j9JX46OEyHK{N6bc%$7u^GhTa$IBjS%@c{0d}$xJZ)5GZsp+goF3Rg_+N
zpDHeSNdEvMsfJxv44=?;P^9a#fuS(ZNOMGzxF~ImGH($E=F7?HpqN<RBRe3-l7or+
z5Q=~0hyyaK;8tMd$ldOYP>W_aT3D#t&FJM3<oM7=Z7DV<(3iCuyqOL>w??-1j3Lzb
z>|&G>iheZIqj;s1Cy}&Ljbckmi8X-fz!yYX4c6Ub`X%eo;*V{$i^!ivsvsGrpF&;k
zD&SBiXMZGff=gH{+9w83DdgB5w265WMLt$1!A%af{LV?MbSYHn_RSqOkoX}o(9+e}
z86I9(@!vWL6SQhKg`vu2&cm{x3lUYxmj*>30vyU`%NOM>q`MKwIN2>S!=p4@+~8oV
z7<*{UrH8f9pxl-q{Iw~~MF$#D8Zt?wL6H+vMGpnG@1r10aCE3Nn8Q;l;w<9!#cqZQ
zK|Muj3?Pn?@d(C*ktP#agVTvHUkbC(gL{t8gGs%J+^M5j<vGBPGfEkd%LrasjEhie
zygAvh-Ds7U$?4govMKNpk`gQ-mS{r3(;?WGRtdnOrcb{Rnzx9QFHnq|HOS#_(wy<d
zq)BsL1uJ$k)xktT@fv369vXC(9tO5>n1>2x=eQYMeupZ5Mq(j5QYVs#H9)%L+a`R1
z5vIr7%mWj1b|DG>0746r?Cp?_XjHyhg1v_lX2m(ihiVgpq>yI8fo$F*E_r~=stK{x
zY-2wVUXPiWD~3yHy$#HZ-o^^FrdlOikyJ3;_EV%`>6`e!#eQr50Kh*DG7xinSiLd_
z3?BE8*RS|8NjDV=tSOq&lBojKRIIWp%rnVF7M#J#18Cq%G}^@2tCMLPA|2CoJhWz?
z1N8yuoQ7p5$%^KlP`PM61!_%%P?U&n8P*IJ{{WEuiTW$Ix+Zi&ay_M9>;C`<Ut<gi
zseyA87)CC})xdDf09Rqik6AG83{F>}7GoG9<5;&p;zP9uFf>E<Fky>KY6mO!D+i>$
zMY$qDa$Zo`j$$g6)`_cms?3%D0R0P00<=Uvfx`B&o=d~SUn6M2ykm11k?>`07j)x;
zJ_{dRSj%P1aA%m<Hv~kWx@ai%8OO!cClM=y;fH~1kkUa4%k~Bqz3wgwO~U!2I*1}3
z`?KU0s|Gd3dpe`91|{@jQLO2Zw$euoxvagSn=pilkcTV8TrtEP=tQO4a6ehD%Ev{s
zmIyiSMU=v3lQuVNOnXS%cJwGUOi^%fhIYc;4NCMZ$0tFs=-Cnv@XL`Er&1i?S*j!>
zc6*D^@fH)o#PGF*PBL&O&b7dkaSVv8VFs}<&Gbc*Nk#gd7^E)-YK{=Z5ayX12uN4x
z>}1{oM1vIBGm{W@;{&!=BI*mL1;}3wXzhHDxFAcEE3B@>u>|%lKS;!=@w2W-N^xLm
zERR=Kj!A-uM;wn6HxIKx*rAti1A$H9AqxO3Qzs~hV?$Ppwtw9s@wuIh!wo%&$eJG`
zc=o`<b*d)c&osZC{2;~V6T@@y2Jea|;rP1DG~j)iENULzwUGU(u6agK$V)=u31Mtm
z(|U$QhrdKPmj+|R*O55V8|B5xlRET4Y(2`F`X5lScFeG=(=r<)G*be$S$Z?IwZXQU
zk{9+|2y_05)>iXdB3qglLS*ew+b?ftAql2UVh=+fTpbmUPKBtK7c9)#(QxhA2sn%h
zP{Vl;EJ2mXAydgM!1jVmfV)rFi%d*D8xc11Xst5vHuPp8xB4RS#sr^#;H8V-LN~97
zIkBr&iYBcDo4*k0osB7BZQ!*3017vX;>7B0o`z0KuSO@*@7X(TClHjg_x}LQ!^wuK
z4nB0KYv5*Wl+=Q(`hoE{nI_azY|Uu-L$+T~<odk<+!~GtnwrCE7IN95p;m>fk(rir
z5L%X~)l3GEOx@nJP~UMVvLP|Z8D++_EH%y0ngss<q2@p5z!rzCb6YvzkoHME&`ZeZ
zk&F7NeDE@s7f59XPf=o32eyPc;&6z&Ot2o__P3Dyn<`N8bfgv48H;@%%LKrJ$dn>X
z4`J;80Qxn2s+t<DMcDg66fc=*{{RjJON&J6s5sIn2@bv%gwjTQ85XaIUQF^h!P@?b
zEg?cjP)_k<Nmu$8*?{GJ$m(<6h7%#2XvlNmA$h>ZA-oJ}GG{Hk7K3}Qp{APs7|_QM
z87uG&({PDaiRcL1R3P3d?2ZDZi)tn3OOjG8mHQVZHE2o*$<pE2E)K3&;8U57u-q&r
z&E5ymyo+)NXUvF3-$y7Q=2#c@g<`{yj)zb*q#|iZZ&De9ox>;0%&l-5iqR##{s+JE
ztqfjPzs6he{7B3a?NIEG_>ohVUQ1;+R+)hU8%L7zvN_;>h+&Metq&2SBP$;xko66;
zR;j+2vN;7V;%}d)JXORX&&nZbMSKY15z9?;1rcyXf*i#%H={vp5n=M$B&g8Q3S$Nb
zGFvrFi<HozY-Gu%6pjZ3g^;Z;F9uGqH8Oh`Ak(VE60|I$5*Z{u8Db>UYXf!b^GeDH
zNEDsrc1jeuL}0%2c8>o5=tM2QzyzeV>gN;RxGs!*hk5eb{TY&K1D3LMy$q+ycpiRL
zEf`dC@dFBDu)2`hG8O3w7D32u4%SXaGHAa-+GJ}VCPXO=ON(X}+byCbTo6;kC)}t>
zb{Q%O`)LM*nP8hZp_~vYfZY>wm%!%9RrEDxPOu?$^tFNm1MKS8bbO=2i9aI^SyXdq
z^i;m75p1XGjfVKIV>*-DEY7tTAbkvJKFnDQ*P(qd*|aP{v7wW$L?LMrWG3tj=vZ6^
zLhX}05AeAVdo0kQ7>CL%F>;5SQFU3y7}&N`A$(9-e?aK^$A#odtB}KP!$|WGnaW1G
zH<A(8h(=k6z)^}J3F$0}vPib%6wP7^O@SWOdmDR(@VOh=&jRYZR>!wt0c5Mh6iI<R
z1CNga0%irV3LU(`Jjjt&GA_vn`-1p1qmg|MmW!PY&R>ruPZor-sNFO=3a-{+^gY97
z!K2WcH)WvYWwta;!Lwa%<>kM{@BF+BU*f;uuTz+*Xs0;N5p1?(8@JRNA1UGl*tFvk
zT7OC;1u58(YhZ>}%6n+!4jv75ON8IZW1IC4ZT|pbPQu8*tmrP2H&ZRMQRidd<ti9B
zV}*gq$8W3%1w9C&@Fv*;GKb47Y+K4tEO-i(%uBd36xe=+8WVFVXQu-k#VgSD+ikgg
zjHX}Fd6p)`CjQPSn0eX`<Iv;mWI{wFE~SdbEi!379BS4WZD?W8+ws6o=`KQ){PZM9
zT7BM#H#rabA0p1S&#|rK(tiY3F56iaQ#&T<u2-~#q9H6nSQr-Hq9Bq)m$pqriB|AX
zN-s#Bdo&ZOyJj50QUtB6;leM!RC^v!BDisrCuvn^C^C;g{DRFoE|z6^Zurazim8+L
zn2OQTrrfF?u{p`Slm`5X=KP2=mP$@e0q#Mk0+Qfn*y1LaUjp3lw4Q~!Mk_Ogj@t$W
zz*-$K54tvzpxoox>OKXC&qfSPK*T0{Lh#4432baH)QXv?f?a7bqYBtf(Yy&3pCYXW
z*KQP^DXoo2m1U_$BYg>34R0GA{(9E1b8si%cGoM1u?5A(VyD*Vq)qS?<wqm8g%0eD
zM%Y6*)?YACMC|q_-~Nkm>3}4;&Y0;#GWjvfe)}S4n{1fkw6Zq;0Ko&0?QCy@NO?CR
zz}%>mo@OEp>83G@??qD=$jE;})x<v&HP?x>D4Vk)YANtx{{U6N7}<0~<(>)`#Am)#
z{Rt&KlBY~NEi7nTI&)T;AlT5_uno}GhPsl93|4QTZX`%mQ;0+slR2`oAt#flbq0}D
z3S;n?!v(xwnB!U{$&w9)(Eh>#m(3sfXxN4R24r81tU@)kL>WramO*O?n>ZV^WGPco
z6b)}&ovpUsj`hS3ZAP{(Mi`_Tt4zlm%jDqLHMkaIf_~#R%Bfm0a%+7I>Y+`E9`AJa
zB2S7buGO}NI-M|%y{*XP@_85K=32t%M*^)0vNZ69*2qvz884{s@X*k%*nJmyn#2s{
zLQ+Ay1P4^Wla*I2XeW+EwvE)p2heC16B&GxU}MQJy9+74iG=&`vLz~udj=RnZA^%2
z;vrU1F?3`Nu%N_hzQv4W%VR;8Wb7FUW^bbRz##}mW4)>m_!@vse`30Hf(b1Snm;tA
znq^gkTAMo2ze#A~{{To`2e6YLGh&?!IztB1V|9TZt24m1c$5jeco%n^=ynZR`8%ti
za%5#v)&xTd+Z|2pAqrd#gTW7ZA)XmhI7XIWEilDPnmXiFjRN|a7uvAGJ4o;$g{N5@
zztA3vjT<}Hh?M^TN*;<Ki_<!6rAGY_5P!gbh@S#+&En{8cLop(f-z`Gt&J4>=xI>i
zVG9DWdTKEX5!cwwhFL#@IdS+hk5pJ=<S@;IqEuLtbzX8NRb^s1!(}VrLnAC0HI}Xh
z*{0hwn!5^7z<M!iiQT6nu;fIphkJPiuO#oPCft_w2L&z~%^a^x^es>j*+b|P5?Z)v
zk4}qYKjJYrCD8?4EK_9QR)Z=}C$bZu(P1Bp*cBD6Mz%hW{>VIK(%oR_okSLv5Z5w=
z;wY^~35}tMP|T8urVCyX_if3W7-*ICB}+qDMAoAfcwvDGHyeVs!M|=HTWxzoZHI@y
z@}K0yFY}_o;$*{Xc+4BHVc5$|QIBjd7e?MHdNCk1TGi@?)@#@kNG6(34H)E&p$}6k
zo&-{tEJ9Z!0E<9$zdi-UG_Hk(=GA5!MVGTXIc$>|Z5cDc168V#lN^FyL}OMwPe%C{
zX*wjD3N$?oMtdQlvttt*5#XpGq|jka%05daibI0vUI3d0A)ERWhq9K}A|_qBLXv3O
zh}{n&wgs~~@hy2Io?nqnNK~5<8zgI*k0tvPH3%_LR6&Vyhc+``(C0#|JPO~vW3fa(
zBUs6MY~q1`*y~j}ehVZ`z=bX*s9~@rk7sPf1$QtYoHk_ct`j{6>A|Tg(<`=Wh_E(?
zx@Sg>Cd|sjNMeB%Z4VgQVS4bhazAM#C)o{37^UR#QEA1*azTdKPR-olYtOe86D4fC
zmPIi{WMrxAAj#N5-I>&xW3jB%4AQzqs}mT#(L{dV;O^LmY>l`)smAP@6Y-o4mB95^
z1=Na(ngpjuX7FhVOic#~?Toq|SHS-O1^D%fVxETCmGIL09MhPyl8*RgA#P95I2y>X
zlRb@A3FJB3kR#|E)YB@lxt{RZ7Q{ndscJq7l{CJg;4@bUR#Z)W2Vc}FgQz)8?C92r
zy&HvNJTBfN+AAz00gBE%6x1IAkA<NOz+U%gmb^q(c8igy%xSkr=--GTFs`ydt7L1E
zF{66HqL@U7Fx9a!<YP{D+Td;!vkM?(T7-NxejaY(BsF^iBYfL5seIoP^QG{giI7aC
z{HaP`4Z(}Scl<6|XfKw5$Dm%z_6vC)BI!a2QBxp@rRz<Pc&&%BHiQZu)W5j=8qgHD
z)q4@Aeupxsomq3xyBoVmM$BD|Q~8aM#SqdHVp0ZbowOw+n!yBOqozYy9ex4pa-Qj<
zjAD><zt{;Sgij5nqh=9-bo3SPsCw^)ZCQK~>qGh!xxmg8sPI`i8KdY{=y%`q<7Fzh
zv_4%+Mbm6Ssr^_~<9^A5F&3}6Qn)K3PvmyzuY!QR{mUH1n(YrYV}NZA%fe&ZCQiyJ
zMZ925&znp}0KY=wq{Pz;lkD~lA4p4@No;inQyE1Qp+Tyny@ED_P3?@>ksokhCX4J(
zHPsNGp+=%NJdPrx4N`DN_Xf~_rWsE|&P7mz4dct?qa#BqSCNoUg)X0@B>Rkwe4!y?
zhw?z@I?+-olZ262lzAKsnFvnd{StBE1=elvae1}qgkb5{Tp!j*#vEnDBxCh^MSO?t
z7<Hl13jY9Ny2EQiUI^?Lp@&RDz|gr_a9hai+)tvCHI{~}VJj|)V<T$^M9(5#V^*+*
zhCHbT$2A8|mU#(C(p?{2ia-g@Nf_W1>RAnxmI4THp={G0IS~mmzhvr_5rI}mzmYi^
z75;<+Ye>GRHzVLnENQpB;OSO{QOJ8QgF?6nD%qYa3~#Xn6$H8LKKw3+ZON8i$cwDK
zh;5+7Dd=S;wiu=wY9mDr7s@@DPr4Yg(`FGCsgpx6UMUxx@rI!RE}jP@d<`=?8Z2AT
zR-6?kD=GT_06!m*_+RGMlH`aLVemDy`PgEg(4Pj+k$75yUKxw<4=-&9rywIzYegbL
z;K-FX%D59+mG&~K*)h$F4RVbnj0?;9GGSV}G=$SDZU=K6A3$W`D@=3H0;Q4)3nOP=
z#t8T>43PW>nHM@Puv*Lqd`l&V5JnMjk-9@;U}(lR`ziN6S?JY&hCa)Xb`(|2J0wSw
z?w&}nX*@g?b<wbM8u1KnU5?vEpkL_+Ik#nvt~b<^${R4yNFdi1@t*_aB)Cc7NznLA
zz%<@QxX@MdC7Nl8P%l-$Jai}e6Pi)8L->i>OpTM}m1?psM37K1=iJN_<WTwOO_D&t
zS;3H2wEPkXY`p}(c*dMvNew@`0!r3|X~<0K4xuhEE#_HSY(y29afDvk=(O78>xpQL
zGyOEZj6pVy^dho9VDBTwZ=t#w=uR+VmW{p^SV6K98}gy*6~hXqsxZea!&x%w4SRxg
zn(*{LvMprDo(xPI%VpplOTAIzW?;d0;3s?#(yh@yNNe0|HWuVE;GD7wSZnNRZy;k^
zM&*{&WT&O0Ws4r0hp{OkDLshW5S1X9-vDDw`abMdOnV%B>|$#e!t796HkMby8oT9~
z0$<6c(Kf6+2{K{eB$=McbnEt4aP%qJ6=fmW<j3yBIGG_+L^vRXycpgbPK##Y8~`nT
z3#$)b=X)38{4emOfq8jCvl3ZUVmid&*ldN|vG-BusD&Oz>+z}xtSyNT_z5dR(B5h6
z*Qz_W>`F;-2wxM}%#QHGOy2GVYGiu}ik|2u$s6Rxh~~`jA|Hq~NS0;YDTfQONE#il
zt_`p?mtsVBfOE(gCaJ^16gZ81NwAVIOESS^h%Fof*hs|~a}qz;jImN-vicxV$Qszp
z7q)EJd2zv&h`v*FOwxb)A^yTFmWywpBV&`JX~SYsn!u5hIO17i+LtJMIAA;a1CB<{
z&ct>QrCd!A4MMS;rFaoJ7AJ@?#?F8>x;h!Orfb-f3R+0yGuYiDamEj?gEbRLNFvYR
ztUDEJPB75UsD!ma36zeZnl<phv`WZZv;P3uV+fOQaV`v?za;!Qk@~I@I%7K&3AQnd
zDH&b-NAxBFI9+=V(3iwqJ88ARZLSrhBvHwlcr&i}G3C~gaI9b`sq-Q2HHnF^N)8?{
zYCjCVz<;p7K$XS^%5DlBlVW`bAj5T!$a4#ZS50|Eqh4?+fx3!hgQh%27_f>La~i9T
zMk!jAp$*%J-IG|x@c_y!BKg)L8(GL(xG=|sMvpTx_e1bo9E3DdJr9psaA<a9%T!3m
zL+E5b(V4HXwuzb2WL|{gZ8h{ZX}Nt0s~Ar|y2jQ$l$Z6U)u>!+zQ<_U4wzyJpP^9V
z)^74T=rJ#nvQlHfvECnx$lUXDHRgU(A}LGZ`M=;zPdu+;rwfpa2CAZt4byGqvR$z@
z+%iYY8zOS7>%(|ge+2+Z6QiV3nEDuz4bLN?FJ=RG0-H3B(vveC{t0%PzXI)y4wC~S
z%j9JIdPuac8P3IQzC{|f67OhKqrY+Y2o=^4Z7be`0)2%@>7Ur_bcPF*yFS2lLZlNX
z;_xa@+*wC@4BuWCZGvWnrIUa;Vs1y8G056z!)IQKntcGySMtRfFk14C?{q^d*7#%J
zHZPjQvsgRDWJ+>d$-;$jE)E2W6A&9?9c30A$yoVTiSRX*FSSew3Beha*GNuc?C>P>
zWr#cPbq1j>OKL_IQDD?rM&PIa0037Y$Gh@E1{<vnvsA6>2@Y_W&TG+$%&qVh^FDG|
zz8VmQbpmI@F5(;-O@{+n6l907X>y_d_AEPN<79O8<06|ekbEL2XuA9K!zM-APm@hD
z<fT{8ccNcIKF@ko^yLafT&xKF2x3y-loXJ&f^Frbeb)#{GYlrs`N73BBTm?cl$#DQ
zFDZ>hTpBm%p-mA{H4|OI8^aH98(6y=U_X-v@Q_@u&});_Zxpw{#`p~}M6z>(C5h9y
zxG;REhK10jVVqK<C5?cAR{9uW=vX6}p^M$*W9H=6Sk*d2vE4AqZe9tDhx8`3kvzp{
z4qM;YwIM`l>~xQGP#t3?j4haB^#jGOLuI2x{R>KG$d&>}^u3De`V!Gactm%q8m7D8
z;u};IwuWmDR7$Q_Mnw1{QBZajLgj6X7+)h+N=+e25sD7&s8=>B%@Z&bsxN^@IDRLy
z8<l&4*O&e-2mWQnR>VF^b(YZaV7>}cTTGB9p75}-D7rQ&dSb~$Mlx`m135%>X~#5;
zp!0x~7J?kYD1^gVG{uNBqa|U7L?_s35rG>7G7}(|o5NqB6BL_I^gBT4Zaj^0h-5VC
zJlaYdh=gZMdC>erNXFkIYdH|Z@@A78A=xeX%o1U!b`gUp#)h#J4<or85$6gfl-H5K
z`%Z#P>+BmuHE5F!4iUQ*<&Q&QYp7yr2;#9pMyQ0)=A}nQC$$b)ErT*1p?o~ixkAvf
zYORSZWx(i-91hTZg0EvYk{hu#%tMFajhJ+^N&84FrrQ{p+oBX*qSmq~_&x_55<8Mo
zvHNM1<Yoyppx>+zrs-_d-5mg!ztAnW$jKSEy9g@L3sO`w0L~_38c@HXvQzfZ(t2hN
zTl|dviAbfUkgB9~CmP+-JEz!!e`HJyMFc|xA*g??6*_cAtQumaM!5*2o5<ThH3V!m
z%2JLT%p*eHN6?BXcvCM1B=DnQPvlwJ;C)PnvS^WeF(@Pp&Q=U&s2Xc?3Z+!aV3lDJ
z8Dflb0T|;qG<5?6w~Xv&5w!F!MPHWZ!r7F3L7$3G*;W&Cb2vii-~?_2&NC~}#i0r?
z&~GGjp=}rxdT9pndIrzo16c>aveMifi<u-hD#o~1hAk-TiGm&jp;ANQO?HMW1;xTG
zIIo;2YEi736WAl894JWiWYNy|CS{pn;4x>jf!RL~%P7Ao{w3l5#uTF@>?-*YjghAC
zEGGkZ!X^cX@<z@>GIC)Qr@-8M4Z~`y&A_f)+z`@D&<cJ0^YC!EvcRPZd3sOCqpY;{
zW3RQ5QZEF?;R|YPy3!u7elarJ9J^(b{*%c3!mTncpYkkIaa9&d@N(F(+S@QOkmXSt
z6_9S4bvzA4yGd+_e4y6Y=PZ6FdoZfdo+p6;Scpw8v3#^Ptwat{j|K)?s;?-g{V*+l
z0!UXaJc@gN!>~OW8flFQ&4g+guc_UMZM1oBLw%%qFa`<cw8tuFd;#!A_&)KpBX8yi
zb<b%(jhhr+GSE)(sBl6`z`U0v6T9;)6Hsx`klpf8iqbMV(w;LuQHW8(U_;}BO&YCR
zf#7dFkMHz`P?hNzEe+*+>?`B4u%8{YgwYjr#3aXK-KkkB?1JSb9H3OeC%T9>(|(6K
z{Q%X?qnY5nT^d;tOAPE}UWIvIM>OsG9W$?HFU^gyC?}4PUX+l0z%6J(W$oJ%Xt-Y{
zeT`6tm|mM0!Y*1XR>(^+f3>4k%WO#poS7pt$!?(-AFF(|6rh~30zu=lHmI{bkp8S~
zj15uth{p%m94ccB83f`dwcrym(Cgd75{5yTZMgl43d5Gvg4@P$Evehq@G=CwwGnYT
z75Wr1U$zMqeI#knuuIw_Ef!4(4oFD+Y(VRZ_91P^UXJaE3f8yL3bDay62yZR@?|OV
z0i}tvcB+{Ww1a{xrpJfAnGH8-u!*dwoMcv_o@pE~3nOz78GEkHDrFvxkb?za5HM9{
zsjf%3E;vjfD@icRv*`>*j4-(_Ms)^@hAF*)GaW|HX!qd!y?9^#0^f!`Ns<ad4cQc4
z&%#C~tBW3orY8xIK>Gv`X(D?0JV*EP^%zNHRjY0%xw!fxMULq7E7)UZQ!@x=*_hZ%
zmn?LRvtYH`IAm=M1~!??MRSV2N<Y|d{{U=4YATyPg`XQXjgrC^*e0aZRI~2`%Nrb>
z;@pkA*=P=C9XVGA`pXk=3~13?Iz;j_C}9v$`|>?oS!$2asMhO;qmgK0uuH+mZsax5
z3?wEYRa!&kkoO^3o)Qfhh8orv=>Gtqa4!bMYQn=zdlc+^7rf-m^OEvn6<_*bBvOWf
zg;&@?Rl#sxd)Re%uabjrp?|lL(m8>rY{bRQQ?jm;Id_>zL6O=Ijv-`YM;?)7a?={A
z!Z_?jRAqsalvT{MA?UH9$u@9%Ye;zZW2+1J6&a(W6Et==Zr>wWu~s8o?iVX&*uU3G
z%Pg24vY*(eHAZdL-*Y`U#u_8`@FJ~PmJ0O-HM)XKpM?Un#hGa0gIPlCX|7D9Om=O1
zBXoZekAo^cYGY|G6)VZfMP3K-p(_>vED0TnoEXfKrz9I}rkOl;Sh%+!IcA1f$BGe|
zk{x6=P^E`w(CR$lp~Ys)5X$`Fk@!(!cp=3yv>?rL4J_``#{q9yy$@5?##OemSJ_3g
ze7}+RCn#j>WEG=o;92cH8Jd8Fe+SUC-R2G>;3-=@O%}`nY^H=@K$S%h!GZ6Fc9=x&
z0oR4fGF=5Ff=mK3m@6DpY<2`a<P|gcum1oE8*BCud>S`bMes(SufeJwwL`|oVp3ra
zLu=wOXUxdZ3zXqE&!In2@gbaAA{yIS)FRguv3U~@8mFBO=K4k~uYn=5OFJ2?=0k*n
z^mdG*tg0a?;PKupwd(d4U0Rwk9Lq0rGR7~27qk?=rUJDZY2f_ollTzy`xQM8pbTQv
zi%n$9$wr7Yq})<z(Tf{O(6WeDaK|fXheF_76WwUXVzt1O+C=oky&LtH8MSs(HWhDU
zJC#F8i&P!e4NUm9N4gdfEZ&AlLfZQ(yg^axA(}%OnLnZlt%Ba{U+;kD25`sRr!yn?
zVkmPl&bbiuW_h{^Pf)Er!P%7{(qS!`*d@uB=B37~5$$qmnRwtW39Jw%5r_#-p<-V+
z=~gtILdp~o1XZ$pF^u7<IYyXBZ$oV%>k^{YdNH=Hiw0ZKR81cR+o8C|ax8Gca4!Lb
ziF<>7u_)kjJh3<X7b=W**;K}wBULcz1dgF8!Z4(z$S|G{v5GvHF?mE0w%}NZ#;sEw
zO0aA0BNOIWQ*sGnRJ$`YJ&dF}4#qi+S}?ZhBNtr<?(9Dr9L1g+^cI42DQ)c&;v-UT
zL+AR^6(-*uMZJf~CBWo393D{s7*VrE?w-bnsTs!t*z~F|W!WER=oy%|EmZbDlVK$^
zaO5S+Ep!pMevF(?Vhs01MCx=fWXxPb(y1=SCCbT-QpFTW*?JdE3`m(K%-Hk6XUT!5
zF;<0cUOynbU&j9ckCkL^gIu<Ep|593{=WpG7RyPPm4Q($faBv@<qVtb`(?f~b1|98
zq9phpo9iCXuJKOq@Gh<f6j6j4i*K{m4k1xx_Xtl;3gBOXTj;qIndEJ(b5pY8k*{wH
z5A_j^w&ogSc34`S^bHFfEC|`i*tWSsXJSlbOi=J8ccU3)jxlpRYBb-+NM<qYP<ajI
z65wL+I%1;<h!(Y36SVg0C0i}5o3-oGFs-hNHhy4PA7I9dbTiqw6{BgD7tA``hHry(
zn@pvX4udGr>Aw=i$fV<akfEht1Ce6M$Y!p#Pl1b}?%f=TUl=`={{W)Wm4@H!<yaxQ
zv}r>au>Fi?*<#?&p%+~oreNo~;Bji$FR?Oil8EpKd1%|R5X9EFDb;S^Wp>wr#^xZh
zJn&;X=+_&`(+`knYD2w?WO_IJw0w=DjLrAMk6nwb$TK=P_QSyAq}&Oo-p72hv?8V8
zx5vsKS!ok)!3~Z?rx%8z_BJzYPQ3#@j0M@-8cU(=ktw|k4@l^#%%++dGNG8@Vo#!B
zO|YeSAl!pohOKy5JorvCINbR$p)#Bi4KZ$rg|NvA)-g&)LYEojE9!j&Y|8%tXv-*?
zdoEy|i6u_pgK{bDawnJI`4R0o2<P?`l6?6y4?r2STkv590eup3#8&j=TyT3TeG3@i
zM`;Cp&n1P1bxSa#0gDZ~9KpSW8~n%(uPTL}HelI$lzIqO!yMaHz+1<=u;W-W`<a{!
zeOtpMF=FOubW39}>%uXyR70F^Wn(QGa@0e0Xqdze<1WmItKii9%gX#$_+HAjXR&Cc
zl%$3EZC4o*ywjW*c$@AEQXpr~l_W57b}52rbd!>(UGfsj*qO<Z7+Z8c76Vnc6C4`U
zDY6bEN^)6<WTi6}iH4+t$Vf?Y5oPRd!m8xu9>%3fStjuCEgB?YH;gH<fl+S0PKr$;
z44l>q6tP;4RVr9GTOPk+bIJ0!7yHPF%Jsn5kVd^)r@>%c`8^6+p=3pl2W=b9+A~Qt
z5-S*FvS^|Rq*f#|?2fY3!c0Z&kqIKKn7x&Ze8TN@1bg&Idj6Efq}_m$Uc~nj{64n-
z07OaO`iL)LsScWo2U49G=*=L-pp<e-rasIE$UQj)Cj~m7NMvGCFd+7DJvO9L&`UvO
zPtg2DAbgV8u1Ld9EZ5Bg7ugV%8X6&UWBR;;Z4U+zTe{i6rfz_1pKSbS&vYo2-o&6)
zkwU$O^gC}v=6U2|lx6`b;^hfRkj}Od!$&~C*o6244EG$w=q$*|V4s8WOW^J}OA$_&
zNou@t)O02C2rADb9jZd03HA1Mq)G1Z3^f?vOiiatAT0|8;u#I&!}FWZhUOa^j{Fm%
zgf2BaNE$M`8nJCQaU5E0OP2*TUpD;+8<#~NEan}VMbKq9VRS~aMA(MQ$hl{w$&IE7
z2W)W$v_1TIZ!tEkm6YiO$l&YRDi8JyT-Jzrmw`0)@l4}w1~gw`m&$$=z8B)ZJ`PAW
zSw>$!SW<O=H0Rz7rIs<N3hMbrB4!=3Eqxi1zAzDLu$Z;d9R0o!sF2EA5=gX5Vm*5?
z>Z3hIb2<#k<3vAi20LWNov>Br7~|y9Ol8L+oh~4?Ss!pCP@O6=5-jP7zPJ{5A2Kkw
zWMnqMtZmqtkuT7P4v8*%8LeXop$;pq0??2wjIwDpCI-gad&!@B?FSi_#Lc6$QgL4|
zf;%5Dqntj<YN63ZSwV{<2KGhR{{SKyl;tQshFpaB8rJ!SOWaCSH)BE?(G%$J0;Z9|
zt3-1;BP+o0!&j5rY{cpj{?1N+u5p~iDg|0PWyF|(w=aQdGGK2BX16jcC+RhcSTmhE
zDPIEOSybhwrz0Px;~l{~p%$&8F)6C_Mo}%I)bh+{dLh1wIpn3GXhKA0(;InWrzsQE
zX9B}FGR$zmQGRzNW8lcG(UfYUAEHJIhRHcBC(gJsCu?3VrQJ0$m55vJBGmni<JoUw
zUqg}f7BOO-_QE4q7=t3|nJetg(8fBriK@9W^0Fa3FdW1!$#+1S<V5I5e8J+Q8_bz&
z`?fXggnA5l+Aa}~ZL@JlhRhcx%qgrsnop3{GL)UD>AMN_V-_+rX`d?wV*F7T@JwxC
z(dlWo^fp=K?92&O_6&Y(J_Oiwyp>vA4(r2)Dkj6R%6GL2RTjp_4I#JBB3itVEwj3b
zGGmeMn7j=lD<Pl$!UM#}PC@Q;Ltm^EO&yXarcpeiK$x@)Y7Zu#`PbsSQL&>`%)~>0
zxX<RlMn<_}2?Wzlj|3;x41;z=J}TNWXyc)*&z0GDGH}a}+9>FSk!W(F68Th1(RhfB
zOffknUWZoFO}Z7vTL@e1L|~^P(a7{_Mn!K2qjoo*#4nL$bS4j<0$RLwVXJl-Unj}v
zLB!=Tn%iaYGPQLH(F0=ZxAJop`mlxtY2lqyQgmVsiCFeSvl!&}$n>{FJN1FsKcSmt
zT?}}44UNJ1F>O6G#ROT}L9Yi5#l^2oXiYG4u{6m&iTPo7$q=DNsUP+S6keF)qAM0u
zN?w61<DJ;c0!x!0Dj8xUT#lN-j_^?W4{pRV{se)o&BY#vH7U@@c{qj@`L={FeYPX1
z+>DGr3`#Og(dK4{0XNDxFL~s9+jbpq#bZWniNQQ^L$N4ASD=xkk}x$~khJz?%QX4%
zu{l_%lXB9-Af%3ldAcZ!ld_PMaOiBg8-ZH-2#`tcCZrXpEtBRk85MqqzE{POhTd5i
z#h~i~)&@Z}xn*-{4XREMh=Adeuk=hV89sz=Oqkmy^c08mgytBxt3!|&*0gM15YY%h
z4qd?wWXz0^(&Q|!Lp5e8t|Mh`ID*W6+!PDo5w={@7s;w4#@S~<fqkTcQgSW_mgzxU
z3!$g8g8Ma+%UqD_#{4oD<gY<eo<sS`XijX&p|E-h$jH>yf_362ie3s=g(B1qct(nr
z9g350SJ0aFLTU=~osOF|@HbVr4I8)6S`VP0>02239|HT~UwA%Q^JTx{FYqt$xbj(J
zQ>>|fgy{Va#GaklmGB{#BP3No%PfN8#3E=h-tdIP@^dkt>;T$yeG1<rlv_^V{c-j+
zc;rs{=z|8uMN49~y@*ezN|e30_#DK{bIP&o=lh6}nAoi#-oY)j_Ba_JY}W%Ew(_N!
zwD5<5ds@XvLYfe;X!i^k2y5JH$qgy5lNquTd_vQ=!BJ>%HqvF(i@<8XtV29BGa5?v
zYK>ci?(jyB$&$FRckPXW{PHoneHxez7NT@Y%X<ymy^ASdCN$6ALKEt^ghy%?6DHkL
zd_jc?yp7xc0R0rRO<K*0*3p=0vE{;X7&`>1Spz2Ef1}@{2JBp#8qtWEf;}>bSsdic
zwJ4@bIu|tx$R{`Dj`3lEO6j5)m%)p(v>1gJf@|3dHiJY(mK(W3F1sFVX+DOCdfl=s
zZMM;COK@&w^di+nF6fw}MW!?0VrZD??(i=-W9s7rRtp%bCglyeCROZY#^-3C#PCN3
zlp`g@4j?h)U$NmN60wS@M$Ikr!(_K<2pbGZEktu%lwAU(^Ii~#;fg1TZ0uuMLL`O+
zX2+v}wtROZi`c-B#|}uO!X3>SoDHAA6Zb*EghfziD&ZmEQ7UDHLa7#!J*%B`h*dgj
zQ%3&)15WMiVL&Of*y&I!X8rXZlW3G=eW{2PVzx>&(g^hA%Sps<x3N1dqX8BnN7;26
zj}wnY^5`{8lS?D`3-nTS<e&A@(3)CwX_2CB(~+K)bQaU{InyP-;5UC1=lECgqjAD7
zW-FV<B?e8S@k{uY%XT<aCd9FJp+Aw*G%zVv;Yvm&c4t+dPUP$jMW)5jCKW0Y>?3&T
z#@RDj6=r;h0X>SH$Zxc(3SYmZYsy;awuQjLtCIFM+g>avXo!CzT2>*PvI-VUR|GZ~
zm_OiHM3sUx2|nlgfS|_2{!Y;B*s^VErP#_b=@m_3h<+rU{S2wLMuH!y5;5%|`;nw8
zWV>X~XPo5}rTBEnynS;r>%7P$Dxph~5@c?1vk;q?lg3`18*L4VZw)Q}!Ws5wAN{Fs
z>}+UzcmAjR)`?q>P15~{lx!ux*wc9?!r#jP+|5Q9{{SOdcqUe!EQ*NKPqEkAP7u>B
zMNC5VL=*Op*_xZ!IT~Y;6YLcMKT&wG3dl03AZeD5SRJ^;aQ2MF3ys5p>8_M~E`yUs
zHnP)l%=SM5+dD<<MhIHF6e<4ZpJYsp<T)MjGC@KnSlsA@{{ZV97;X~42LcpePW@%W
zlL_VMgua(!L@8Ck^DjXf9@;|s)azUj1{{^Z5-W7c(N0~XjdMB~T1iE|M3ZQ5+8VKL
zF%M^wVR@YAsPB%Q4|Xj^Uj<wk`DC+4#+eX9Ow;T+Bnp%bOofl(F)`$$(8N-k$rR*-
z!WOakbTHWbk3*(GWVk!T52070?i#fZ#^*)vrfGY9E2k-6xb{*jMo2(j8(F>!M&n@w
zWCAN}$1&wEWo&%IhGYw2@@t^~0N^nR-@&0A!Wm}*cqrS>2)KdCDY8t42FA!{98yR&
za4~R1tn6f9%~=JN#u6T-6@l_ljpz`%_z;3|KPUc;7_pSUqe)X2BuJq;wf+XZfB28X
zSs#SVWBA}ATKp+WAt|WwCdB4>MnYzSRk7Ml3-wViH?s4jEr3cQu)`9XW5{%8iBfF|
z6W>;ZO4_u6X&GLt`XNy|6aN5cfKup;v&13lR7W{?Ls7JEktI<KL2N@s%S4!8pw}xD
zd(6Vp4PA!b#XXk7VTRciU4}5JZD?>`%c?A+d~y9J*^3zn<YtC71o}q`mv|CZ`9|`Y
zt^(Vd7DiDOB?3dY!tf-DX8MLLL^In(ipdDet7JIXd|$!oSA%kT6_J4uO<zK{V-J@j
zVytPw=#%tsBC!nP9S+oE+GGKy^fRju#;jqxW+c^?{EkJ767VT268TYDOUpV<RLNy*
zn5b1(BkY8m3Hn#UJv-fOPGOmsEJ6<SB1N<}_&ro$B`{fZHZI%!2%Sc7q>*iKH$3LU
z&I@Ikhjm&+C7#)dp^&1}YNROBZD5nk&w*H^^T~ad4ACy6h*W1bWubI3_na0;Opw;!
zU_)dtjI7h(Yrt?Murit^mlh#K8Xo~stQv$yQ81jHF^AFkGUdo!o12HBF+VR}5LL*6
z`Y?VB7}RbTJc1F|nq@$MfWu?in+@5LA_kT+!WpD@nCqP~Lzr)ZS*sER2I9Pl9$pH5
z<P0*lMCntgPbHRcHB}i6{e}qY_CMg1Z8SJ?T1=4(wmv%~)`r|0eV7OgT!vfZYAEI{
zzxE8j6gNIRvchJ%C@jvTr^7z9P2k=sl(R({C9Z=}^({ngc}B(MpJU|=z|kwHO<FXH
zWa4-DGL*lBPXW4A!J(QHZQ%{N7<H49G@pejSy@Ue(A=Jw_b1~BPZ5M+QXp_9B0S~c
zL$4F21uR+@<9iY$Kd!Oy0b|>Wayt@(0G2u~UtmT+A%%s}B7`=eW3JNe61CuF&!Cc*
z`aA()X;MY8BBuHu(&{L)J;cX(@LLznofK5jTMBqGIo`;;A#p<)Qy;;(hbnm%gKB7F
zV==UX<7oV{-&1%ne*XYO_^#MYze?2><6f!#QA21h0?N7UCeOfwX2{^v>|2gH5-q8g
zRvU9BhB;*xZRDXmF3LzV`}CubgVRAtk&T3k_rEQ}kJ?M7JueBBJ_etW+Gb$h7-O>1
zDOcP>AwuXb#fKB4(k!7ytRpb@2HCHGCiEnHxiO(a;WCw?$PFW>$(^^zZPB;Ljt&I&
zGI@4g{g#N^oOnXDZ1Ne9at}<K@p#E#^txs#@;+@4p(R^G4;fgL{ftKWAjGHI0%p&F
zoYgZk%xUAeH-=v^!B^OpE(z)`&Wni9ml?=~z~LF99Qo{H5pu^ZOt$EQqc@Xvmd}DH
zd->UIZdhCc-&!#_pw&r@mAZTzu7p)XNKAIL*F&>4swM}OI5nZ=k6sv0!!$DxU}Ch!
zB*}%W8NB6?Q%Nr;R|}HByR|;cVYuO)nUL^HvcWoSRKW#9FG~Qdj~JV5T3Dsfmn7mn
z@Gg>Sbr3*Fmc0$NdN5<&<!oaL-Gw(<R^xoXZpKaWu9<IBM4nLDr?F-<W4cX3l!P86
ztASZUq&H!jq`ZuWD_cWOhElFBi%!@_%)ALE<I*G8Vp{BP10!Ft+(!<(p_#b_Ja7v@
zI;Kc!mBvTSSCt>;^dqRzRUp}~3|Ulz?Ix8m%0k^Ol`W9t^J<O+7hG(?<gvD2&1qT&
zmBAk<NJW3Vn~P?1U6T^66q6nRd!J(&TL&sG=Oo<&Qw79Msp=^DM93mWw5XLC#3+vB
z5#YJH8fPJ_8N@J~<U!Gegw0~u%%JLB49cl(nIy~GcoNN@8SGsSfnL+mI%iQMho40g
z<zk$VwlU-5oRmmh#*I+)L0QYjgeI45i;`Ew7{acCt`Cv&7}>_%)^U5}kZFrjyD07K
zO2*t9oIMauG=7Vv#L(oF;W1NIFe`ruLoX-hFzY12k&N4fK+cO?ihuILJ#A>aCn|*s
z>KZTysAfIjf@sIn7Obm*>SudH5H!rxYfRnjGdY>Lm2SY_nS-<kl1oK~sbgdIGUk&K
z>tbiZ2~OMC>0LTQWo?MfxJ$=FSfj|~zN>O#3O3^RD`?vg{N;W;_v4#5RZ6EQjQ$2X
z#8)tDVRS9?8zl(c2f5y!NzoDsuEuP|U|bJHuFeQ~aM`>ZhM>e$eTz)g@Wj^ik{ZTl
zSCO44-v*<$$Co)U!$J?k0Po_sC>2N0--qF>c%l@(Nd<+WTibmPfTlc+85q!na(d{e
zo?99<-3o*{Gw7bOcB2v?8hZ2uS*Tv-V%1G>B<|hFps7EIus$R+0p9OwFEpBd^uRcg
zaxSRXS}tV3Kk4zrr!2<oO)(~xd{Jb1yp8gkgF|Fud+{P?CP<`1@YxP6!yYOfV<Tv4
zoS|Bp8zAftSu(<^<50t$K=e|{pM_I}H|+O{7x<T?Aw0wI2#b0Yka&6$I>Cq$w7)#i
z0obCW{{Rcw^l{UqB8`Yvz4CJc2YQiZ7DtYI6_PfHB&!2)z_H?+%At!vP_;T~n96t)
za-JM_5O8k*GnB}80{RATBCL%V-Jd6+JY_}=c?@csN*4G7ei7Ue<iNx{tXqAiCQZL%
zh!T7aq<*Mhdet9aJW7TsnCwjADQhh4y%5BY*q%)27ZhOZV3f;^_!T6)rpS*7Z1wmv
z*<12vEOc>VWRZdqoepeL=>Xw2@3O&;De`UltqyFiQYAid!uUIC?ci8)VkBrzyUe|!
z%f1>gX|FBCc2jXjos2ha{G$6vELwHABQ>X{JuhjBRM^GdQAR<nM8?d@(AP7PMLbDN
zSl&dg6F2X~vSRF$6q4bNM};Kldx1L<h9!&{6da}qM*d$2XkqT@4s_q48O2c#R)x`a
zm*rDB93H})us&47A>(Kh5ts+&WuW#U3ehokgozk-s^Hzcw*`$3j9hSZ6*_4z0OssV
z>SI!E70$*nCxd3>eK&*fwdHHbqKq>24Mo`Q73DD$@&uI<Y;}2weRHtzX|V&tp2RY5
zKSJ9`Y2|rXBBIymZPz9cDp+bfeMbRJ<;jjL*n(#H8XB8TEI1&eI5W?kg)G2mnMtB;
zs^G;YN=x88w5k{Edmh6@f(UA&$`PoI223cCv1Vld06<Kn^&=i>s{{$|lUmnauOdTZ
zCvtof3{0zIE6CKsLB!wSl_3hh3Ox<C9wmZ17YR+{o`+~~l-+4|ao$I5D2CMdzlv0T
ze%c7yP1vV4`}`=M;;C4ICkVsHuYv6Cqa5${Z5kRtm^noeG!s!TB1s@KoH0Lvh<7YX
z_A;ro6chRi>GZ=xQJsxNn|3%;iz6Oq7(DTU4P=nmnu_E`U#<;|jzktYxv><qdH(>I
z)~v(G%(+$%S_CB*$kPWb>_ZtQS4Lj8?xpC&b}7!Aej-gNUvJUu&Jee9-F!|CvaS)z
z!sMtMUlHyjDbIvL{{W1BP{oXj#S9b4bw_k=24;w;-43`Qu!xEal|(Uq`3z9@q{zmL
zOM@0Zc4TcK8x8dnRyuJXLv^g*M2{F?$;8eYGW$Y1tv>=o8=izc8q)%D6CWVEa>qeI
zVWCj6`|S_o64~-%yVTX2EewucU!aS54SvgmP3NN3ppbOMmqUvQIx$FVTjXI{O94r>
zwmrVd{Oq|XPgeqJEV*b@CRq6@RT)w6B{$KC*|S7HUPU;03etDzR)IKU3Rl93KF1W|
zMd&1~UkpvEp3Sr`3d=Yglu9b?sE+h%&B32SeE!Q-VXK9TBmRO)Dp8pf72Li^R~=r=
zx-HV8@eFdlM8?)U4&Pwh;5Eq*^^odX4Gj+hDU`rcCj{~`)NJGu8}1t7Hkl$nkfL~I
zQKVuYXW!t_LTQVS+y+HuNYpdrAJU$KQ)nt+@`h^!pp;1DPy9(kTvSUYf*yP*#F-SB
zOJgkcz-U~v`_P5B@Qj;jir^fXhTv<E^qBaL9(5A(_DLsbwuH>JToG}ZD8y}7fn5Xm
z$S>9W7mjEfn4f}u(Gy8LCl|pi{f!ybe2rxEaU+!}$<_f()9>+VNrKRs9?*$5KNY{l
ztghh6e30v;VtS?$=uM(b&6&W8Fq;yG$Do8vP0*0^x`~XNP+tKYgJjIMJN92ALHKpN
zoeIwUMo~!Fg%C+g8WRssfRL^Xmu6Tt_$Wk~BxY9VbTO7pLzQ?7CNUX6Q6bUMh`1}M
zzKYQ-or^ryFqxs>Gm&GUh8D#{wQ2>!GiYd9P41W-icr$Vt&ug+hQmtJL6CikL!tZ;
zlKckd8pC`D#>w7qMK4BSmq~h-#p$v9cdxN+YB)1`q#=<u<i$@tqcP#4V>K_SX@6q0
zY(a$>F@{WrmIz^3E;Pj0u**Z%NHn6>tPHA<{*6aT5E|DO=9uc+L~NW4?%;rIQ)-Ta
zV6d~o@NejTPXmu^EQU<EE2h*&1)K`fidfenvicZ|Jcpv#irc$Oo{d6Y12;fqHF+;0
zH(1iI!-%GG2rsGe;}rz3B_J~lP8~EZ<;6;LenpNbc1Cxc8W?WNAdWV`sjV4S7Vq{j
zQqm{vY)YG3ra50J4IGK`I%^;r${S3FsH2!;7{#%8eq|eq@TH7W=FuAj(U*>fVTp%t
z#0zHzZGzPsPem_bw1pG|7Bx3T+JqAkZ_v=j^PzN&m!@8lGcE2aa34{mN8>|N%>%ob
z@h>cMfen`jmc?;#dM1P}vg0DP$s~}O(8IUbL>>h!8IXk07M#-bccQaUy|XyA*$}T{
zisAN$1BHY|6%JZN>~8p33bh+@jdxXaLSkbARI4LlM-)ui@GAqQ;kK|cCMr<%u|e51
z9%&&NLP5RQ9b0?+fEgkeLm6$gf5yc<hTBncEL33(aa$~)++r&+v+9OJr@&T=DzHx(
zC&OwFqjQ#OZP<$!eMG2nSrFYevy(_&?g;JlF&lC<SApkkuxmc4NQCS%1={3dvSYgt
zlCiu(Ae56ZVFwup=RrDMb|`RrNE{)t<wMV>^76@T`@_CGinaDNEPO16v`Gx`pr*SP
z%)0)C;<+%%0I#B<EqhUDRQ`k%dcv$NU7Hl(V?$@iWf+tBz=T~B;J!`m2`irnNNvmI
zVoR9Sao9<biboh8$rt<6jC$DUiea&U#oh_6Umi!F?rc?4Dw=+VVZhNwN=I_h9nZI7
z)edy8ozR6dmNSs@)%hsr$h`=h9*X|}W+0oYC|VrC@dnvZa1yFk2f>(8WQl*Ea`}Za
z4fe)up>VuNDSrDfCb>q4SQJ89CDmENeCw0!hHWRIqV&2NNAMBF`onuBYG_@aJ2^tL
z?LzaT=(wmVWr48b$&;&Vv1xcX<omX=G(h?sxxlcv8ow4yq<d1ziFW!%Aj?98NRK~w
zrrd}x<Ry`<(B2|V!OB&KV<NT&ExUUbIp&V$iN9nEf1y5ROcTT&W^CK=Tl^`9oo>b^
z(lxYT+i&crBl%<|_2{g#eYNCbMBN=QIGjc*LkN!qdYgWS45Gsp(SWX^s5)+9y0gz>
z@jF<x;b3#%Xfth$U})~gFBw8IWLm)a4-8z8GZM+nL@^>&j9&Y&&K%8mEI{-+D#`=w
zp28;$VU{C$#G;m^j{<>;4Sh$C3A!yak?$S$!G>T`*CClvbjLcHY*S&0;$MPWE{5d<
z<!d7}*q?!bg-z3_{2Gd!Xm{9$?2>!@X@41cg}P-xn>vtL@TRf98IYz()68UL3fZID
zXyN%1sC}$PM@*r^D61PgXK_+3oZG0kB>dlj#AMj*)e1>_GFe_&?4@9kl2FCq)oApF
zm4DHk3e+2hDs{<e2%3(*2PpM<9BwXd1jUqbG5Z!QuR$i7ZJ#Ez!;yi7Ty0=d4aPCc
zHQgCqcvSinhEF03Xz99%laD5j>`m-zZg^`V<Z@M&4lZ2`o{xmT*qgiufaJfOY~(V*
z-p$s&gzjaUz?~CVg`?gVO`>SarS1!6wXgjM$PB83GVrT8{UK*<E`Et$c<e{t?+8?>
z?il&`m_^`=yD^B&Gm#5_8qNpHrHLn;VocTWFUL*fPN9@2HosdP)$$Ko%EA%0e?eWW
zYfx(x&QRs>5n05_mQ*X4R_#OrW{JrSoM4Y4wrvPaV`#pKhqDz_(CFJ3nD`#`@rn;F
z2>wA49T!<ovl{&d>10(p=w!Bl{Ibr^1z_ARLn})1nVBs6k%nzENUG5~XSBQ^^S(qk
zk0wCN@CuVlXelb|W-JPG;ewM~ji0!Sk~)m7j90f}U$5vAfRrVXtafxex*0;I!?Ce!
zO7OxPAhJDp{Aig(>LIE07?cxSBMgR!(AI1yqsWHoQ(-91DVroXkJ~UNJq?kn<0%jF
z498i_7Y;2U2hcM>Hyl~*l{kYdFfnqA^dWCT$i}XJS|;8IK!!XTI;FNuEe@a-MIT{x
zKGDjKO~tb&Lq5o26x1DIlk8K^(U%EwhLeer=tEzH-@wmJ<qLcrOOh=77?U3ycHo&-
z@LDoYv?i7sB)d8MO`D-9;G+I3WCr<|a6}=t?flmN0K=5*Saa8fLCj2l1d>%I#VxK1
zX3!&cxM;9=;_5Py(w<}4lc$#>F&P{(u6hS-P*7nEsmT8Tp&v1bnqOp{n=7JMT#2<$
zMy0eO2c;+u@&(euu?R-=4yFsOt?bP5WUJ|Ev?fT-HZw#-C)=&DiugQ{cyM@9W{`{6
z7d|{F7Zz(Go45L7+g5bNKI3>*lqZ8rS#HqfK9$;NXb4G;#{`^W$BPr}YDDyrNXo1+
z`oT7?1$+-HGJJ;cvync9Y>p$AhK3!Q9Aa2Z27FgY=XB&=giyuKh=1;}7?QGPk`l!-
zLei{i(J<VD+9hSt<AJ68*sMIw2nN2XouL^lypXq>2vd{Lq~uS-#6r+A;Id=ZB=U-f
z#!itB&=%)NIlPRgPZj>T7+EEY7~E~SWz>Ad7Mx^w#X)B1ReJ*aNNhqPU}Q<$YZST;
zCkDQSGwdl1j?)G**v1bM-(z@dhQ(c&6T!MZRf(ORLqkEBmnhF|nH~zVY($uzIA_?V
z&3Gibph#5JR)scQnDNM*_+v5t0vCYTj*1%EiiFcJF>6C(y^Y&YV@pi>8DwOv#1~eI
zI>I`ZS*qEqcw)HrEgoJ51+S5;F=RcDXC4|D=!|IHW)UFnigGkLMkW@;bvB32AVvjp
zgR$sF2|kW@{5BCj#@kg%{2J({lE>K|3<kWLBvef!lSDGsC9<*X0&;9t<Kyuu!!U+v
ze?f&gMMS+5DS%rhUVjQx+TvlF_v1m|;J<`DjCv09c^nhzf5AohEiZfuof0zG9D`Br
z37u;~><EG-E1?3m7}%9HvW0S2c0!IxqBi=}BW5ZrXkL+2LeR&wW$3M#@C_NV{zunp
zy%5>#dkb~E1(Dv6i%7;)M-4@Eqbt~z6k7$s!C2nbL@uEj+bz~)OH3I+GGM!pfrueJ
zjGL>#?^+a7z6$S@n&;$MFu{ZG7(BWfRegnSh%ctHKFtgMoYuys(4A?GoaYS#YR0yU
zQSj8ZZ4k!>AcuMnWS*iK?u{#3s7k4Ef-{;c*c4-EUXYkMCu4*i97}=B)3KC6X8XcJ
zo1^4I-+V<Rb1_@LfjWbtoGULxIc3JKz6jShl#K|xJNOF9pfK}|-&o3$)_zd@BTqwH
zWiz35c3{?p=9x!Nkt0Dtd$|m%WnjXWS}jt;(2^`P@GVlup_vq!)g*5Z6UKs*ltjxm
zv`LeEF(zdOWG^%}K7!zx=Vcc1jnjy|HajB*MWyvqB4N<fK0+iF%R*(~wZO{^_B~<E
zJ_}n+NZE`Kyok@>;uyXDax&yRZH+UpLw)o?ANB+E`L)X;<x$@4!5%{76x4)b_jwHB
zD(M>F*dwt@9j`{V$0K0!L8AcCBcH~UOEhA_Ir3R%NZKC>zh+rX7=nzwc!Q|T47j8t
zFVrd#8m%jwI)~V*#`+LiBqRR-poh0N`5r#~jZ4X$d+^K&;r-}y8)0WKxFj=)v?U?l
zxiGm|$Vt>oO8R18M6ZGO85Xp#S9GCi5Sa%4X*XOR&I&SHEm2ExS#YK`tr?=<HVq7X
zjk#NfQKf?n%-{GIB7364C?vlPWBr*MLbm?^68w@cXTrvWHW3G~`@6Fm?@<hQS$%7R
zW6gbxQ<<=nX<>pSwl+Zv1^V&{h$=fskkE#e;6N#@>XM%UF|vCPm*}5A6GrBaI58Bq
zsaL^}$s1)+`X!+9e<p!h#<@RrFJ>rrh($DJ_`{7eaKy4w-iB{Jq2pn6V^R&m2qt|E
z7z;s{Og}YW$Q=&Q#b5rhF@DA*wvALG{G*ZW!ha)}w0W*h9~cr!V!H7XlX?$+5uyyI
z$j^&qSTn6LbU4Q2v~K>XoJljWX9;1$OK=<#m3vW9B)-sy&b&Gs$>7N=KlB&hATW&G
z9-6W>cu>0DOKKCDShg1D2^EfFhbfPc+~_iZh;;B-G{w;g!*WjTI3ZPmEiDS%jPOC(
z@xNor+e3~^%JfeHRt3%(K3fIIGgAkFqdam{SFzDCqG*T6hTv=`8232{!xLp?o*3A`
z0ZC{X;aVmI2^XJ{G`HFwS(u&Gzrn;TjSgS=8pp;7(Am;0#-@X86LhaHzzSdUpH!&F
zFj4r!=v+(YHc*hGyk<th`!gC8BdNugvE~YJKP~VkH??6aa2?q{pU3AlOy|MujCL?i
zGT_iy8N*`O+eQOZV8BHyP{?e9a{N*Tjf$@nvrnJOiH{-4=y2a9`LavF;N+@f_=}{g
zvW_rV@GVdAFULdR%^V9}4`SFT#>74VGBrAaRep<QyBqY4U7_X|gDWC5s$=>Zw%~E4
z$@^ga_yf}HiQ#1#V?Sjl&>VgE$mB@N0>m+#l;3YB5?db_Vlrb;CERcwBw+-q$$+l$
zG6|=kn>QHhM84s`!;g{1Y$e+wF*$$Wk%XTCxYBcu1yw(Ajj-pYnD8BWqXnU+1gyZp
zx>{>|B9|;pybV*61Cgs_V)P`fbPq^uuqwK43$Y^W#q2?0@ngr@6Up&<r6QWTO30Gc
z9pQ@HKlsJ<9%@>dFc38o%QSCt8Zx6sLg6ZC@M+Mih7dIyXS}DzY<{W`>}oSSh}*jm
zmc;Dn{{UjSNScA{*fbOy5=<F7>5*SNO|f;iLl*;m5=pimsNbaz_A8?<ioVQ+I5u=t
z#^6Y4Iz;z{^t<e%<N#&xLh`YZydd?SSIDT)Ir|dIDPF`~q#)DK=T*R(B72<*9EPhI
z7m=5dpywZ<oM$#TgD%o90_%MVXXISyRb-c;T5*jGe~SD?V>o<2qSJQ3Ggo;8o52cO
z8xTS653rMPltrY9{bo+cUu4NI^dV^U-h=D!3N^;-G(Mk28v%G|hP0$O6iFc3CR_2a
z!n3K;v=$uY331E8>Oh8K=H^A#MBs>RvCQ<4rrYW<N{Q4hc@d9pObuMbzQY7k6*pLr
zwU#y(q6&E3*#u#XdoeyuzZ=R)vu-?ur8g;qq}KlcK34<XHc_hY@ar&o4eUTg5Vmvv
zCHU}DbU|yvWMPT>5{Qeh73BeZ+zj_cwh1xt!Lk8Zs>JJ@57tiTzi*5}b{;{Y)b27`
zGjD_=RZncak9C$MWj;e5MI3h*1Nq)!;WRT|ES0vJFR@NalG-@jb0R!R>B8S$9F|AA
z>~#fn!}vc7qpF3JGQ&eGp=*Yr;W4BRz_#z;a*JAg49$I$zQwdmw}gH45B~t9*(?75
z>J}i<NAB6E0xtp2gbo-UC3Up?kiAc%LDp+lwvM#61*t0XKl|V2m*K5-Goenkg?@s@
zxzqmg-N5xd3pV>MN7)*!0W&I_{Rd`Sz+Q%dI_)p9KkPSjVwPd;V$QO!LUPOh0P&fE
zEA+$>lJps5Mi7ZDEQ&K74SR%Yl<;#R8Y#np>GYZvI_K;eqO$;AtZjb7#ZuB7i8SFH
zhv>GPY+Q}WMk9P46_q5<gh3aiY|=YXXt^QdmF-L|Y(3FYdeC7sLq`afx!IQMq&l{y
z$T%WW_o1OZg{yHC&**F!AcvXhgcY7ft(}N;h9`$j!GWA38D!+bo*7s=V;(B<V;Cnk
zF!e|1O+t7JHNtv=qfSwG7{>FV&q=fg>#{L6IT*KxFGUCX81+c{9P0<j?UXQ<KgD@&
zI6c(U^o$c{C(2oOsw<L%F(qk*dz9JE%#1;v*p70#ANW2|RXJ3fQ#do=hYO1zAyor|
z`3iU58Bn`w(%D3o%D`DQ>DLP~!->9zH(6*uC!+fifsf)|GgG`qKY6hvFdQ_9to0Se
zCUzT>YuX!Spqo9IAc-)cvK}5g%cCmIz@db|Xi^Q(cyE(O;eSB?032h6C!EMls1+}d
z&QU?|G+FNim(N~oHz@xA$X|<kEIRPK8j6`Qp;G`!&cLafv2bCt+Z$0MbU&cZYNAoE
zu?ZeU#G_PustiFrv0F~jVY>8_I9Se37DgC*7E>lokZy+hN2_AR9Qp9<)Y#J_YGYyz
z5jO$~^UnZ--Lf*t=dpmv_J&choku}6X9ZJN9^((7UdFZH41J0dB!t3y+IF)2UfW%#
z`x`9JB}H?6g3g*z(Hdl^qF|}2y;DO26Cmj=M(m`lr7l+~55+HOiFGX&MD<2TF^|)Q
zeGHHuL7lkg+BX92?npH`63cFhRgupAb{~e*A}$GslShWcRZk}aO;>Fs#Abk&oU>%V
zgnegJQ$e?O=v}H*r3MfI>7dd(p$GyZReC3eq9`SVE=2?a(u*Jh3P?|+H<hYX5eN{F
zqDTofltB27@B7`g?!OyYD=W!4&+M5qvuF3QG4`N8ZtdBEu=2`&>1vj~1c80H!0-J+
z-0L<NY>h_aP5DHvQ$`kMV-Anf>0=*+P}W+OD8j!M3at{x=%`?%7*y{?_Mr8*0V}>Y
zc0uyvx?Y~P%EO}EUs9O0uckTc(37r0gLyNw%RcH}n-D28d0q5GDxdyVAcVnIUSD%C
zR-{MI%|YH=fpc6-E@a+92sPZ@T6Hyd=Fm%(X!MN&%zdUk7T;WY%i457R3}jO-cFlH
zd2>OIgc{`?rf)kNH<Dxpw>q!M-(+oHXCOWukw-mZM6H#(JyMJr&wv!ml78=ab)WLB
z=jrfvh@ER)TvvKttU+I)<LC0%EI;BW1l_bbq+GDK$j$5ILvIeiY%;QD&fZP_87cAh
z@G7AC##d&PDe2`aFO#VI%J2nD4v{>awl*tc0<lHp%JgV5_i~Fr+0)SzkJ>!1+Vf9d
z+imA%^7l~0pmNHo`00gbvNQC`D7s%XFqyRLYEc=BZb8Jx+$n#$-<e3-`pNc9WOY!a
z(<=jf%2*?SqBgxLl~oDZe10hNz;9i#VcQT<GopO;y;JIrSc+mn5^MeK*~teeOL(eT
zkZAu~jO>^{UcAA7%A#$B?~F?lR~PGa1LIgS_=jC+_K8;*OWe%JeePmDOS^9&9ksd1
zyKdaynj%m?5aZJ6K9e&Uu6#=Dw{MeLq|8%^ecGTsQhHNo-f3pNC>`fv$rfur9N$S9
zy!ypr$=JlHW=qV(+B@(rOVYYXn=Eg1{(7d!%Ziy<uJO0K$?Z%GHDPKg9KKI(jNLr#
zy<%~wPi8uk+U1&c=3#5`$ybki`jK8-<fv9C6@Dv3iYgW|$+)!2hb*re&eCguxEiR4
zb_bXK7$x(KNPkt-2Skeq`t&Mc+JiM$ZRSflGH=#u*@I`ACWXVb{1sw2dnpU{IByw~
zt-3C-J?EWUB>l~3?!xoLn_kyEOlmIpK9^q8u7;6HLG!OCSzV=|l$^bwSyqYpG;CcJ
zSjonhR}hF+Ww{n&t)+0X)5=Fui|5RB&5YNk8mJChPxO&v-=#6DgYnch8Mv)KJd^R$
zdw+BlwmP8a8`|}!&?gBEWS4%r{%2hB`?VY%<~vEFpGI~0c}V~Cewx8wILkbwa2<PQ
zPDfd>I-lfH@VZ-6><9CkP>J_=b{!<s8gezy=7jB>Ekw4aEX87ihbjKU^$NE>m8{q>
zBm*Zyv=b!IOTU`sU|!Iwi`&3LgfFpC^u)4;jP7Q;RL2Pm;&p_WHI9+4=Y)H=f#;8G
zDOX@3IitiS=$^d(Ou;L*37ISp@j>Qz412o)Jyt+KHdOW*!Q=km{dZ!4io0!WF<*O?
zYEEvxJ<bt_Wyz}!ELrL<`3ucq_-8)pu>*>i^w3wKeZC(d)%4-rFDka;r~{XF-^TO`
zuC1of0m)*%hYHvdWU|DzlrC!Mm0F_p?6bEdzn<I)+7Xx;?_Mf>n_ko2n9%ucpDpom
zq=R9)%(-TU(tXIgn*u@e!QIoj`fO@(x7V&2G}=YW$-KhKs@+zRqXUi?_6=^%>v9QJ
z-_)AIHVe(5eKZDt#N#jCgf9AX`C<LPE96whC2a8oacQlZHnfggbx`zR4n-wzLAWVV
z=kyML-d<~cE1E-aCEWi|@D*905XQA@i(&o2J5=>8)=t=ca64L>qHbSz$!KfB$*17t
zrm-DA=NNS-{EEYUASWc^w}!_y(p>gh;(!xwRI5yE_7MkZzJyzmnhDb2r8U23dN{=*
zeU;1YH4e%<uLAYYOa!hLa)R5NJP=?h9tgo$Dah40!N@;K;E{4g<1eB@DsVWw<4oj^
zeoB;4+{YYyu;d0_azQ1VH_p1ss+jg+)O;-}NOYr`x1F7~5>l;cmTeA8XPpu$TpSQm
zK)<OdYX~TrMLAkT$0X$j?45eQQIxnLl)$75#Kc%{vJ6L|XPN9fxXr)xvk1;?zl*pU
zEe>TTu?iE5O7JYtO|MDeY!L9>8?(C2+%j>k{sock!=8kq`uBERU$kWV@|weQcgrRp
zK$@neq*eSfG*B$`88Z3Fac|4OV~Zz)U1ZMnwNffdyU(jcBhR{2XWu|*qb|8SbgWS|
zKID}1WPi$aGKDOcT}0qM`nlW#(-@-*Du0ZTSd--Rc5rt6srfr;QLgk|3+7dX_)JqR
z^Oc<RJVn8o5ooL1+jMgIu6EZM9l<-dmS+2C%<CS1P3Okqn3W1<X|hbNlszJ`)Bl@A
z`%CqhM&qMZrGxsC-19KAUz2HZ#ki;fdC;2nL-rxhcKW|xUds5rWdhD$C&T5Qv$J1U
z9QQ2Q4&2a8X{)RC7<%#Mv#WV;?y16(VyD4(?zf@!w)8)_q&TXlBFL(fw+!hWMSgaq
z_uD5alC;KZVVIo^3kHfKt6st_x)&OT+Jywisaxb_q7U4PJzTUh%rc*(NUx`nQnx3E
z1b!7%c^z%#tD~J3y(Iiuhk2sVAt5=3#}){9;K~quwmYr=Gy2>W*TYb$_l{x}%HUOb
z^pv`-NZ#Ij|2LUke}Uj^^2-}svz#ff)~<V$K2L2QMr$%ed~Ol0_HCxB=I-=rs?TCC
zo|dU1t(dW!J&fX6sT+dr8@wPB8c0QaVfs8f-&87vq*uLr$3HF|IxJ2H&xxne(=@VX
z<mAw-K3bY~zv9uVO3~J;^q!Z8C5pz&r$l2<Y}Dn4W3<uM<R02EOzs{TkJGc3Mn1{*
zOHdr6Q1#0B#%NFa;(_uT%NyLrpFT@5Fq*wSlvZMH5sl2;FP+HY_<Su<ELr^NeUB<S
zb@fJOFjBHzb*lKwr#SbXJu~fV(=t)1@DfkA9Bp2_jM#HEAi$C|;6%%}#2)g))n<w6
z3JBRGklK=pITU!=;-!<heor9O)28+1E5w_fS7}4Dr-_?71Pa&vNx$d5fzNXsjCoEK
zLzoXa!X|S|D^SL=4{{YRa&Es@8oinftx`7@P^(rc=wrszwLV-Ov~<g7TCigQdXnB2
z>y5ZWek2pGw9AHic27-EJjpZ92dW<hHsNZCmVJsIn36FZIJsd@Y4Jqy%_Pbu{d?F_
zTI9VK^Sq|480MQS!R%S_ZaTRJuTjq2??%`&-e~m%CjJsNFr{X;idMZ6X#a|`C^qkR
zgZRCNo&wr=?CD%(UlWbpo>Lu<YpR5U5%=!jK?zI?Tn*=%BzvA95-+8BTlOVylGVgq
z3sV;VoU$;_O;KxwdI>f!W37*D-Y!%*Su`!H5LvMVk?4oonftP{Chvts5KbE}qPb#R
zhi<j!j{WJ1nH^F`Z(f;XU|fWfW#H&Jl$u^_k`2G}6zU7+a!<Aq)*X5FXpKFWn}HZ!
z!hs&qn|*jY9Ia+)!{93L(tU0pLG9|3>_5UTr$QNPqWaqI66Eis{CfX~QS^r_oqh0?
zU$=SI^`qbcjX|lymvbO`G7=CehztY*F~N@sIJ|dR(JU$-h@W1=Lc1<O+Xu6_e3<Wd
zOz?!`d7cJ%5+dIN&UJz|<?9q*g0Q#)J6NZ;$fP$aU(5!KhC@*rG{WFqg%3z*7oGql
z(PH7md06Kq2tg#ky9m(EL6M?`vPsMZQ2%oK7=vrLxF8yBd?f@U?ffQn<N@>naH4>>
z;+zg+CjrssxZMSjpELo_k#G8CU4kSV3_-vN?N4uJcy}FRad-?IKYxJ+XhjjWvA|mw
zq#QddKZn89U@lMu#QrH_+Ri1F@FWA_hjD8{Lcq!7bT>>;`5GygARs`T;E3pgqVl0l
z7_mXg2B<q~!hl315jf4*qyqp1Y*+}?2@FjD{t<8ODmqP2*|TL6m~G;$DNl%M0|7pb
zc!MM0@xvc6;P^Rc^B6gefOmPG4iI6Af#t)V;w9O6oY8h-bZ$tT+kUsEu>3Ie4L1X<
zf`GucU4l9n{xt#5M#9k;1R9ID1Q9N}w$<~)n61KK4VNHT_NmlAGS}<mBJ#Y;CLp2;
z87BPvX{<VFB>X0a4c#EIHxLpL;I>OpM;2%T%tRvqo`cHfV}X0H2s{Rdn%zcYalohp
z1YO_(#D8!w)FAE{QSsC9;tX?vC3GEQ+}4L5XPC%OLMz%c7QDb|b~;D{(6=U}77ckF
zjetBrB<=`FIslG_kjQ6v%g$jgc7VYnViBl?Z9FjQ#7mH3HfCo6Xr>bjLm`eP7f8{L
ztHl^hm@iZkQ#+r$m4P=W5vcINjG|0fKwu<w7OtjYjzoui7AzM5kbi8dXb0uj6mFVx
zgo|YvxflURSrEy(DLbg*EIDcs3ndb|8sI?9S3-FPLFr#Nwow?rE?)xBtKnNf+kB{e
zNLevqb<&Fk1d60@h$I2AfXL$q<^Dq+bl)4C2PvZ#R-6FFpc8`th6n)!TEdU97r@)a
zzaA73pm=Nt>H^gX91e%UppP-|P7Hj~ck>uyCqf9H<WWRI6|yfuZWG2V)Z~#AnQ0JE
zG&O%#6f5)?7=(RjdA^Av4FxL07ly~evM?9wz_<YfLxBei{1ZfwR)|i5{Lh7^&Tog)
zc9JLzthop^XBPrAP7nvk$_v}EN>RuINV^0rip+YIl7pf(1mq3)r74<bk=X46Xc^KQ
zWgvD5Y8&0Q0EjQ1MU!mvs1Y&1ARtbG#S`QR(Cz^Ar~DH14TtiE0i|%EZO(x7iu;Wx
zz@x(uL@XQ21xgWtLjx+`oVSPuI8s9xsR>GBc=JXFi`zG}k77X0nQj9(9zdrqLDQQT
zStzOXUf>!1`*=t%G8trYOmOVHK%qA-(9nM@0;pu06y7!byAzB12o#9!!fx^Kg4Ho_
z6s8>Mtw;@K0SPxzlY<!E&Yod#XMT%3CW;v_91#<Y!5|8XfpAylDfS8YziHM?56*ao
z1zIve?*X3&;TI5SCkFOP!&ZHC4fuK+hXH2v;DaklN?{1RooMGbc}@OE0~%QxawhU7
z!|tx_eFOVRn(|2_I35!`2lRds^W0)E&7%khjM2pfJviS<y$jPE9W*VX`fY$iy5~p8
z__s3$US3K<*NV>xi_K16Ep}ZaEm{l4+r3Q#N(0f<KqEDOGs{Q4*YjPqzzwzp>y;)w
z6*$E1MI7P8WUsUJ{Cl`=3p$E<-W7NPH9j(E9!L}L%$w#G>Q)19F26S&!gLLLccloP
z_ur>@&68!<Uh8wcVBeb*Bvy02^pT?VP>>-!?=}mqBtKn}WzK45M%UN@kw+3$z$}F8
z!Uki|O&Jhjp!Y2C7>UPxv?{2<463i)OW`um57fZKtz9g^%&rx_&fC59Av6XObTNbW
zjs!_|pkh^lNTY*6k^x^c`NZl@9kNv}2`*$q<-KK8SDv>pz<z`0kn(vUN>B`=%vF+~
zEWrUKFZa|XXSXV4UyAkiR*&;=(I~XLKTK)}Bf3raTLmh!huJAqkk3q%JhNSJ*nUl`
zSJ(im+PzyNlK<p9R!>8_^kEF|$>26>!Wbh|j&!_0VJfGZeIJL_;Gh*GPbE*3N5<e)
zozt-4kh)IJ?!s78qGQ*7=6qkE{uN+CqZcC4TAQ#RFIRki%w}I9EqhGn=O`Q-hvZXA
zT^u+A6~0v{%kUPSXcox`gQ71%A|!0HU3Mh$Si{k`EazuK_ir=fOD;j_eM6hQH*_&y
z4$jq&r-*~fzOe*c=OGRJkE`dw@FdfL^H;;ZRtMR0yk>h)5YOw!n5`#LvA^$%WSEF9
zGNC5nBKeOa^O)`Yx^kv3hNl9XZC|@DC+jQAHF;lx8t)yXoi8dUF<@I(t<?iQssgjJ
zK>z6#>#eW{8B{-3By`A<!iQidMzRQSt3|>0u_&eId<y7cXq&6xi!uzrC0>B5bmo1!
zq!MTzGyYv?(oP>^u!s@uDPK!ZmvK4gZf^2p`ug*`tO+y-Sk`kt<ylLOu3RXH%raeh
zL`GFv)?-*7z@CmqG{r^%L(sUf2Zo~v8{T9h6DCcw6}|ra^BcvVVp?}Ja*BmDG8)|t
zu0_-L%lq+l3miO_djh`GmTTzCcftp(jZas!Y+q927s`mnlIv%pSCyBew$fO0%*n#k
zvZ5MTWH-{7wt)>i#7O{Pp5+<o1;2P77-MM*;RCiUaBXpeZSucq=uO|p^B%oNJIbP!
z>8NVwtsA-!fUNC4YUyvk`tDtbk5oSwXZU)P2`Pag_?BYjIMz9qV)@RT{%u_NHeWGO
z6b9OXm)_%~r_u+!S^_}c%QU@dV2leb?NDWE!)92L-l$2(;QHnV#@g(Qw{h{<i%Cnd
z4prytl85OWc1i}FGqP9wPqX4_Z1a!pSDvL{CY`r02*X%!;XjIbCLNvER&J{(Qt*%u
z*a?;{A!(#pFTS1+Oi4EUMcN;-S^|o6`8UB@<Y?I(={^A$b3a-2PtI>ftF*MRXI|~m
z0zqV^6lL2aEeI%M!}a`>+SFN7@qBN$62%E<4gU7>ZApH%VksY2k>8$7MK*HnbR&@b
z3nZK3xbv>=D!eIMbHt<!T`T7a>~WFaDP76oK;?-Gp$|cRDv`sfp1w$zRFS-`m#37)
zlafYPh#~Tb5ZDWOBwPvg`HsEIYSGiNj8BhFA_zka&sni6wjVP>AFP`};7K<qcA(ZA
z+m?41Uhv!K#qzvHb<d+~SNjs4ZC8yy2)nH;@KKm29ZsSiS0Vl^b$Kd1uAlvrt3lJG
z-6aUk(v<Qu_5sg}T?W#0R<ojzq42Na+9Fx?;AmJwRit;!+8^8vSJ!TP5XNxf9{B#U
z3hI3|dC!ZIvTu^Kw<}Z*T$h7&-O7(UTA>!m2D6UUk0(+MI8=rs9Dh*$^021`-+|(b
z=ej#QFgcW+Wj|VcYA4P5-d{{F<YgzzS4KhiXb26_nn9C!x=n<<+6sXV_#T>FWtJ|H
zJ^9deTl3#`a+iVVh-$77<kBll?D#o^$_Tq?Ux8zfwv$Z6Wa1RE<Z!)eY}U)P1LDfF
zPnkY4kewI>-un;^ZY@5YI76|GiIz0vQBmH%kbb7t@d<_BRUhA5WwMq}JPn)FD;{kD
zP9O`N&U4g>{v$sb20v^~Lrnj0!>Wt;U4nK8+nn}o<rgQ+?#+C@A#9E<q<mu9JEER#
zY#gKi0Pbsez0+UtKs_D{={O8g5au)=RnwmT3*WAck+gi;u>IS`h@EVfI@9hK`kyG%
zk%y{Tw>rerJ?pwFz1^(LQ*#m&z`!VYE>GFVQXJ6<>rs9zbc4Oo$_Va_{)Cv8Z%ud#
z$TQKeF)9=h5`BA*w*E+d88ZZSe1(^#@A?n$m9}T$z8j5TWZ13wFZ6Zd(NAtl_Z%Ju
z{dovfZ<wZRO_;Lrx3=PD&Z>HFGK$Tu=6g30+o+{%k1W*u3*N_NV;^%WK${gCy?Lza
zyxAzJT(9Sb+1P&d)0`Tt^HqOG<@>cf-=1e*ozBoGuYy<lZnf7<^x!X>wz~(?Q@}YB
z(uVJo%}p5Rsy!Dpd~My+ZrT$^O+MJle=xwn8zAnRg`N~VY9o_sSlsvPH`(xR_w)V3
zw^c@k=lP*Pl9kA$3&diGhU{^XN9F3NBEL_z3n#Cmoo`2Jqr3}!V5*|AtP@}ecFt1T
zqFHZy`xRRmF2$zb_pJc}F1HI4dYE*@g5IR5{<qBxf$jUsa=7c^XK4PbJ3czwbxBSQ
zzD^<3Qq{GUfgcWieUO)+t4emf1OW^DghJ)>^XVnev2F--r%OJwR#*rcbLwwWuVCO=
z*Z`6EL$*Pi$%gO%<Pg{^m5=RhD=G?0<4yZw*7U4}8xT*Bv(JiHEexZ?PwJ@NCFl4j
zXH$GpLwS-nYRLSE`n_3K*2AJl@7A6)uwpu9sv0!2R03u8jPTnHkceyU5Ltns@p4};
zBV5@l!yD)U%-VK~sTU9ltuPu&YNj~rUJ9{$m*-#mfiNnpG?r$c{U*HW_-`p>)AGgB
z-)M@+&xM~2nb<s8ENpxM3Db`f$;l@dk)VPcE_-0|@e=fbj`_x^ct|ZB9Hu)%D@|Zs
zok-_ikrPMbugZVY{RH7V&V%^hcf4Y!(95(0FMi;_swa-ePRB~gN9UM}9{n<8h!Sx+
zWHN%anaKKZ#{UgO6d(uj;WT0CrX|jIZ-J2m5AI&mA^%b$Fxc4y>d<1Vx|P8xzjCc~
zKvLU$e&bUe1;d<mj$jq^Ne%|k$3i!p`nQjZT*=6*xiwN{y9HiWqilXC3d~qdGtpV=
zDoiM4BHd)%v?tH4e~i6*oKNRi+Hb?fF-2@37MJbpW;N|k1JZhf6TOsHaPf@^N3w`}
zV@TYxSCIc3G1Zi+gC*sI1n=>S+Pz`LV7-DmiyLMBvboG_;i7h14Nh;MoU;#c(!H6H
z`@U?2UphS9^0+|0A{Hgoe2jP_`6hirC(1>d)*^d}|A5q1@l^KQw5PH$SpONr&kVLw
zhshptIaQ8j%TLAcOh0ikJl^1~dRkAMeRDON?e0}rW8{QyNtT8}z(=iaZDE~){yW!U
zhDrj%qn9Axix&aX<|a<>vw4ym*@k%TcMb~N3*`xAkQiakS|?s@=s)rhS5JpZ<tfLe
zW*;c~s(VPwOtiAI@(<n|^gOqc+0BlhDDsNH|H|rqWXT&%?&kg8+7h{NC){cKm&!au
zga6tr*-&<QPt^jT#UYMpzU*EV(n#ONPnfo&>PWAFZC~w>P)T=)C)d_-q}^N2b2Vqj
z<ho2mZ1O0%kE(CHLLjq*^ZAVy$2K!<d_U$sBA$+7`Ei?S10*^ulqw_@7H%U8bI%AD
zME!du*OUx05Y2P83EEGt4i4fEe+4WG<!Ydtij%BF_e4@$x^fx36Yo9iXJ+kTrJRJd
zq@iz6iE-fcS7OD#NG4WzlkSn@{@&{4rUy+VaM~C9LJxm1q5LH)N1SpLfdY+PwM8Md
zT~<NO4^L4l!I6HMGT8mK9>M$LE2BqcN5Rx&ZaMkBi`~W??UCNzn#z4tsWS<6?NSm`
zV5tR?P8}R^-(?MFcqcumw6^P{GqR9Ox0*GDBEL7iKG)-CM1j4CArdKgJMK4PK{_&5
z`5|QmPOjpC-qCtOYU|SHDZ@y46SuZuecJSUWTaa%oB0Y{9Ss+q*s6&*7=A9A`8{JU
zN3+6)Btgt}&7!$}*zrfcMa~n&iaAJ^9!vKlv3HcJxF=#q)Cb$&>q&*hI`p#I6C6{u
z?lzm-xhI0Y>{l<cI@0*0G2SD7&k_SPux%oy#9j)~IYHvp6ZRzO-Qb4$MPA$HOa1uo
z?_al>FIXae|D1szKbRJ&q9JzpJRE#_8vd)i@o#9B&Etj$Ld=kW#pZwsUSV9J9fkBU
z&??r6JD9hUxKlxZ6EQH4Jltk-Yk&q{te*P)U8JH&ndpzZqc@+m9|z2lcYRzIz2n>$
zju>wGy!X7>pX8x79CK|A&1KYLDKh;M+5hn8t$|>?HWM@_!s3@CNbpIzM))$Oqwyj*
z|8c6v@C_WRuz85qpg4{g<iwIO68y&)H_JP=puTn;MO60+dEX|WJ8+!`B~&!6`*00w
zP%RjGy8|#;=s=$^&bof_0xSWKDas|?CnFGb>{LZ$Ddr4nSU{S^Jef4XrN4Crq%IBD
zTeT{Qe)veUxWAm@ulLGHaJBBLfYPU4&xmvU@j(7XtpbLP^XofU;|2H>dmd0$u4$ye
zY-Q;)*IevD^_=@@o5kz$z}rVhMy(ZS09+A!m_ZVxbqDl;GgsiD*Y4A+E4BgGhOa(X
zB<@H$2HOPM1q-T`S@7tu=DI?k+VE?fPCjn@`gUj7lPPz&-Oq2O{G0#P>FVOAfifRN
zg$ZI`7gVidvaYLLg0{BQI~ph`V+_KxO)jjst_o^$r<%)lpNWOr;+_<CPY!10w%H3~
z!*~OPLcTQ&i=7gis6?nSw}$S`6~f&=I!62=z4FcAuV_DWXgczwX3f><u`Un3Q4;7Z
z3{bMey!kWEY%70|6&Q_wR2t(vHlbeM#Vh<W!bR@RfnA&_7hK!u7_KkdiOJHB3V2-2
zkQcPSSC(0KKh>?UQjrZ&$Fzxm$49nq%VU!w<tnLH_`b7|LFpg1<Awxiz0olJ+9fDg
zC1?G#-<NKi`wyI8_G*-kjubGm*v9o0>#>E5h~><E;A_iv{SY?<V(b0x`8gplFe1ZM
z4TYK?n&r0)llutrKf5(I{YL+5z#)oHB9m3)4Tv7}r7EaQ1N25gWyz1hYm?{UFU^s6
z@l3WkoaSyAV&U>Z(M7qS69`Jvb#k`}eLiN?(LV*KX9gqqJZ~jk^mW$};M}JuMSh*;
zjez*D<phbfECz|Rs8zreN&bW2e}#rT;Dqt{K1n$brtH}p<Afbjt6BFfhD~YDU(=|j
z7ecV)3(@U7jtaC_u1PKa@Ex9Hu_7NZ??~^@2pS)?WL{(DF3j8%6!G4FcN2A7qmaqE
zMh?;h={FdTXwtZmR(=c%VE%gvqV%J9{YXJRk1zwGA;f*V&hVjj>g`=S71N^$K}-Cj
zbmL;m={?}wt4Bed@6?OG%-sA=)S{Dm(R3EWT<`Mjw4|~Vof_UOPzC~NkiQoS<ewW5
z9|d3Bp3p{M`VECbQ@D^c#V4N|?dy9_vVh)0vg(m_Mv}aPIy7&FK4sQig6dj3#}JjT
zxpfS&-0=B<WiiOr`1$1OEd`POli^}Vou(*oWIO}}HG)1$<iC17fk}NI*3`HF5&ct>
zj_UiQdfX;eKG9Q~-?>+i)YM+)Z?XKcqjadiG{3v(0rrojk^3`!$;|$3^c+-0#hR8v
z5MH#M;|s{9;Uj<ztzonaT5MrYo4rhRavG|b<*0yCG}Cvj2#O_}HbG<N$(D9ed^w@m
zbB(*3WrD5P*Rt^)*v)t2`qNKL1luoY+ZaosB1rwM75T*$mWH306IUEW_96v9MlPUC
zWVP9g`i@z#foIJ$n6)bzek$#iIe`4*9YaL-C(%<7x$kp*lTqQAiCRCJ!ymkv+1O`-
z`5#LqxqW`H{O-GGNVqE1wK3d+eeFuGU<kYMRpzk>Jmy`)Xe;DJaKEP-p5|EwI;lC4
z{{`RMaGI}Pj(WHYJO(n5jYwc1=v;!#br&pGzlXUM)K}Fy`1g0QAp*{xKcd~S+RPvz
zZai31Ff?9zEp`A*0s>$+Q%zDWoBgMN{QDzPA@*|UNK%9w&|ANFM9U;$gtNuyZKNao
z->)G)ju-a{{00*M$64ba^@jd1zJ^{KWMv6lmdwRvMe4V;X4K$wzZ8z0Ue}vTICq(}
zCL_Yc<Q6a}EF3@gu)@Sjqw<|a%p<z>nf&8o2a;{R=ae0AC4t#0p3+C#6UI9gu<zsc
zhh#9fH?284wzuxeFneZYg=)o5&W58%GD5D0U4q2pvW9HjPs_hK_}Th4>9#0g0Dl|;
zGq0jK$HEZjBXPG!P6Zwme_ThNpMOtK=mD2P{2ZU`qoN(6WM-uB`XG_;Oir)zzN@8o
z-|qGBxWHIRzZ;GWs<UVKy_6B38u#nEA2BHQ{G6tjD9pyu#G?UCwCG*vgBSf*Q>BGZ
zf6Z4(mufGZkbCCji0^S5AA?6C$#IH+CG&ICF!8K!#i-+z;(TY-61P&8PRhDcEq_WV
z@=CV-Bbw$9mmt$9Zo}%JeCLk^$Apb`e7UZdlFIB<l!}?y^N@CyFVN$;DrzYKQuOz4
zRTY_Ryb{wAfhtY#x`am#5kHSKhd=PZUq3WnEI1fU`ikol1@SzkpG~#Cy6YbmD?;r>
zqDz><>_~L&kJcW0aE9@daQ8flU<JGcAEFwEB|0_Cwk|vZ{uqd32Pm}dM8hR-GjT6%
z)0#ZStad>8x9@!pu+vm1HOUy5V5(OVo$S3{@+e4FJK}9hpAIuKh;84L2926^BZ!Zy
zmC~%{Gi_sNK+ukrFbKwitpARRpjfKiM&=*>Z~ZFMmegka@BjEjqki(Yo7B218YxVi
z3tC?Ie2%Niohc^~27{>RXgjA&*J*W-TI>!~!CPGoHg1?mmVJ3@^1xR?BM|*egPO<%
zeo?;|%0Nj&y0l{5tjDfvyqG4+8jPuEn8rOU{=$T$$Mjilhd2TC2tzWuGx0`j?E4%%
zc21Fd{h~8WBf7xsgK1p1B5D}em+y2X7HM}v?_@LmY(M*8*(A^N<oVQerI3m0c+13I
zVh{CNkbWN|NZy)O=FL_O&xvwR`CW`>BWr^0`@7u!RCFiLXj8)SS2X({v%GojTD>;U
zN>;&u0G9iLM1k_|z(5*y{KU*5r9r$Kk-SnA2~QY!GBnJ1dcgvily8H#J0QKrjc#(%
z^C@^Oo@H7nd9{S;dPhw*tW+R{s=WT*@_QE7STc>c@Q}mo;1(9nLN|=B@af<CH<ii8
z#smi=#Jf7qT&$dvJq^PLfo;w6+k5XDUgRIq5X$MuNlOa*QBuyC>nIa*5wH#D%aP#C
zmZmZqC8!h0n><wZm#QZd?&L3hsD2jZNm7U5gfBs-?k5ld$O$d{^sU&_2QMAAcHxh3
zUbTfYNyFn&pWBMB+)!~LknXtLgbj)HkEKWEm^ADSCH0m4J*+p{<G;$}BIR2Bl8jOA
zgleV6x_;6HPH(Js#QRKAq3hy+DjC+bX>snUyD6HU8TL3&Axj<FQmj6jzU}nk>s`|g
z#;$pp>JM!DFMo*nc6RXdi6wpzZm!%qYx7{q@_T#t%iq2>=}j@4qw0-y`j=?~UX*j=
zf?BD7;U7>0&ZKm`zZoAhvo$NFpR~b><L;?LTTiU!24R7vW22?4zfMZSGNp99_naLG
z*WvtR!Qmi%!uk~muZaQiy3*Z#ltKRH+xxTac@y$~Dr1;_ADgQBRZx&fnl_!$#l3ZR
z`25CE=8UHW<LaZBTrhmRwd)~yJHJ_e|6}uW>PUHCN}k%j2Hj2LJg`groow@<P4xA~
z?7MRf*RJ}jYN1U&dpW!#B=#Nqgdc=ng6x0YSmCn0)6Iin5u_5Cxn+^G_87L7?+sR1
zF>WJ5Ku9y>_4MAm-y0f@%DF4#fU29a@<)qeS0iG(i&V~&T$A$Mgd6e+cyo;XtS4_c
zlY`%>Mf8xAiCgYEg&9nADH0^hf?*<wCjFXNcDK**3usnAK<Fx67ZFl6XMa0Jhs9dL
za^F;jBuw?MfQb3Mc|TGJsr+AoYk~8wKk`4YB7d!`en%SE@cU&sxV`_x)h?$^a+dW&
zh>3iShF`uH1Jbri<)_{dq{s`ued<M`^q3ala1e05Pv%t5u0D^~W`Jc<vr?j==lGUD
zXeUF<db;biDsKDuO*>e=UEM@Euf2*`t?mQFfu5Nh98EjIskHrWhLsw8H~A98Cy>OE
z!D1WOHeV4sra{6TZe~h^fHAtg7=7tFj!_j}Z4QU1z1f@}Q}duTMIilo)=>Sm!*EEr
zoBc!UvEnf@^Lq<_ZZ{BdV?qY(-z{9}vOg56UAt$%cIy)Kd!s=0RRLBI{e_8l0t6BO
z1X&z$K?I9eOw(lB&$yPJPG2s5r&XCsXAak6e&csxRo5#MT^rL8+L=|;SGb~H@AMy+
zpr2R<+dN9ilL$qKcep`G*>f`dw>k_g!C!7Iz3ZTUc!b6u1Y+Ik`nM;ZDq`^;^U2G+
z#(BoCU7cMcI6vU$i6GEg$r<iSA;}naiQJ(ctmfoTXP1nA2aXQBAa(1fuRrOnz4~)>
z+^0m*Ot8~b5EG>u#m?36`BAHj_4yJBIa8TBU?`pyK~E>;`=t+xLu1%w^w6V`(x~rD
z#gVoY6tA&}hC6D6=wH_ZJpErEz?|<`u%+xU&4#WiDPFxh?KJ#S^Y^^V4=KT!(ZA4X
z({q7M6&@2O9V7`q*?%{BU_q5*;OrR^Z{4@DB^`1==5BSL5}AI?+YcJr*dq<!)Y{2w
zVirLH7n<uzjcG!m^vRmfY(@?!pI4Fzzs%-0qra_pP;vJ!X;u44#gbAr;C<zH1CfAZ
z0KX96Hd|242m>P}q`t@MJ-)NE-VXcxzP<eezSnu|j)cds-1z+M%8by^E);FIUrCt%
z&0W&ETFTKxcH_93ic|W4k^*^$k4X=Fj@nA9X`H=7mwawMCnXWCD3OG=!OABC60lFT
zY_0sb{LFRzUdA2G-;hZSX1Er{D9FfNTEeNSS8c~?x80&ocsk{+kxk~{7Uu2XO}{PI
zhOf_}<bA){Y-lSu(Y64mZP8!9K&rbyz$g;HGYNPpAVp`3gkbzkA_c1UkBHU;Yh#^<
zk%aT(fycflowA9wfzR5`M1tMEnUg)1L&-vNfAPH$*Lx9bp!-+q-Gn2&xGZEoi>WT2
zQVn?*a2_JHv>@On63OyOZ^eAmInKtOk@!WFq*2GS&w>Xoe0|m2j{H{rQ4E>8Mjp9V
z%d?*te?`XOeZ1TBYU8Y<0uEdyTPdx6lrh|F9P3!ea1wuic$ejYp*xqKDiLx4f#g9n
z;5-wN{GjVbUG<N3rEYZ87lTnk2X)*|?vEs$9;{w>wOKe3pP+Dt#kXfgBwN)DE<F#`
z+q~-_YDPIwSrdNu*_4_D+}K+@rObMTADV4bg*z=ylLe5GP%zS@EI)9ycz#8ryF5OQ
zC1-t30MY#A6JvCowG#Z(dGvC^^vQnsCI@u`3yu4a10R<4iCOrQtdv~QEnL&mYX+!C
zhd3qO<7ob!(HjF(({^X8Jq-YIhPONtB9951x$i`?ctm-ob0z(LK<`0x-Q!y7dKdMg
zP1f<8_5L#VIk#ur+P7~FJrO9)2^tO@w<6!pSC`&C5;4dy!R8PX1%%cHhg(l>kxnZ#
z$87`3lY9oW32D-VbiV}IjNf6snXpYQ>A{!7Gsy0#J|e5>baMApj9XxupfuC=!xD2}
zdIe#6)8~5Qj1hG=V@kd{HSD6otIcnViU-Ij{xm$xLu{!h6AImZIrxTwL?qv&3<)Vi
zKAr65v$1^R%a)T@YKpYx3nk_MGV`7SNlqJs%N|@E4qyF4^)q_MP`uqn^@v_X!%5z>
zi3-we-fUhOOz`lr_&wBX=rvyX4#MolFG5}hGCCE(Kv77DBGL^i+wq!&Ti;Bn&GWYa
zfA@XChHcpp$$Silu9IhE4p^#smA}(-=Eh9!6H`q;*XPJ_N#0qLSt>MB&PM)DWP;t|
z_vmLN5|wKteQSkmOQets#W|DzAnTrdn-JtHsx=(m@|5OhxTuF!j?6AgG|a`~e!aH$
zexBBr;pgnts8?zhrG2G^Dqs=^o_p0JHM*{|q}cJNi<-t>RpRgG8WgCIX{xi<Ef;oD
zK4H?70WF_!PCUqO7cl2G7~pI6_ey7hHpL91(K>0Zo(;M!;tyabrE6nz-3?;?gX`gc
zwhaHWU_>BdZ+mXxW#4|NAd|`q3-(p|{uLV7yJTx>fM3Euo609mn)0Eji6``q+_g!T
zCwv>;mDJhODFMnF#8*)oNbmXDDoQ`M`?j}j-zYni^S*bZa+6Nzd#Bch0wo6pF^l9t
zo)M;SM`U9^1xjw{XH<xV7u2f%2YC((EN~Pi6veq^i4uy7oSLIb2LaY(M`8!0Be4}@
z+BmYb_bBb2Fk@HHYk|L+xsc8f%I3sh<cT}{xn3Tuouc*zo0g+`HG@YKHk}+c;XLf@
z>)Z_hwK${+3gfM~nQ!!pdEQXMWA<+q!h1Sn=fTfxxw3#5sJ63EU=k_fh&74q!OwDe
zXe{aW22-kBe8SImGx<SYU5@sEWdl}RI=ih&tyzmjBu&m;@nr)=476eEA2JlRa9d34
z!P9-~%E(Gu6fy1N`}VNV=@-e3V&X8el_(I6Py}HDrhaB{=aVEt75Pl3(|DNpd1h95
zlg`;Cqu4Qj^JLMhCGX_MkCLT+m4gIXj9b?KM=nyIEqi|0n)MAW0&l4z%^k^5BL0l{
zZlZjXStq!6iswfe<ot^GtJyy93<6t(_1~9CeZ-NW_uLzmI>J@0Z!tN8^YDNVH6*4H
zbW{VfAQpgFKcqJp0|DoJu0IXNCk7dFo3Va*#cFq}=J1dG#{t=2)P#+1cV_35(UHEC
ztrspmEyW%h!Yb)I7M3D^49z&)vR`k0gl!KD<9r@v*_PW&1h8Kj50(Ump<w_d1~4U5
zy6|{k`(BEcy0G@OD(fqqQP=86YEaxjkZ<$bpP^UXZIeB6XzsGyS(MApiD8tqIlb<2
zv<$>2Rc?Qfc7eCk@Uvfn!h^PMUu*lh)x<NjjTwfb<_yHj0BE5g@2gZIK_ae`ex%<7
zJl;NKWz87<h1+Q|i8XEg;hiL^6e-rwBOg25M8?JT&Xn^LpH{|(;+*sC^dHh0MKnD8
zq#3p~Z+`{7UB78fq3K7M{f8_Ga3$242W%+hftlJp1)mKg7UR&=^SE3K!{D#`zH26b
zV@oUtGAEt3TUQ_35G++P<2qp%4|5m?%O^EIS=866HsFw8N(%?uPs1~~x6VN2d^r8A
zU(;N-D)1D09(*>MrTvZxkW`KLfA0*AW&Ien_A_!jffY|11SxpYt7g6<{B|WXoXRe+
zD_J$U5vlw15paqKbgJ*+)8m0n7I5OD2nCF$vR|a<2jpD!&aAV@9AKU!V!SJrJ)Lh_
zqn9aKKk)OC8Q!rmT>HXD85(j!xTVwYyo)!wJL!b;mhN50WML`QHvdyggwLx!xhM7+
zUK-PNTs|q><X^yz;0dhgx<jel)psmwT>k@YsQ$M6ei4o9XBlY{gAqAn+E&7q7kY3v
z+_iSd_!ngUR$x14d)}`D6l7~F%D;tOIM{b{3M182m<`9ZR#QBBH3>2W*KbcF(w1TA
zl6`*hb%7)zLm0<7i~;-j&RoLq`0wM77aB(=8R}P1kcHTHnxt1&WLIS6L~or7RCy{(
zGyF#W3U;{nT2BM+{GvL?kgcHg0-VTls|35IaosO_t?-cuH2UCx$VyQ-1`z>_BMkub
z4B`@WFm00>kEbr0vR^DdfcDATW+ZD(&t+<5u=j3mq!*X7k$$j@G7Ngnb~94w1MKGj
zTQqqZkGYNFBQ-<Yp`Fi260kzzWZe!I@i(ln-g#G(fAAmnr0+NkyNpbMU)ZCs-?prh
zswu(8ln*(G3Gndb<cDf){2ln_J?B2!`|E)PEqrJ?zEZx^`_+tOsa+^U{dVvAUr5^L
zG!WRT>&=Z2-~4-zjjf*5k?=zR=t=y^HAn0UUmeApE3B#;&1H5917W#imNqUG8nC?F
zyCNl=pw-3U7_)VrVuMAJ>O_OEhu9KX*3YD@LH9U}Gp}qVFk$^c<duIju9~kh77yyI
zm8C&MfC&N!dB7|Y0<?n7tEel};qwPhrxr^$gJ2eEi^H=ov^gwoI+7jF){8~hDb(ZP
zb(pb$n`Vql&*wS{I46IZ`=swAC5Q3GNX0?~$uq3#4REBot>IG8GExZG?jJOQcz!P%
zh&$`We@)G)rqQFnd*!-(?~W_7d)Vzp!-EuSS=L*&YVUYPB1^GHe#KVvtY@<GsLkL$
z?7r>efZ8Ic`ytX{)0rD&oA$tjlcSS&YHYiV1p*!hLbU+-^q}7Zvlj-v?fxr-Ty0RO
z3Z~Qjz|-r^y86gi_KYHHWm%Y7l9ju71VfwM8?i9=UkQCeJ<kn+Oh==8laF8evCHT2
z99e0AUVK>nv{6=n!_9aQ#A3wIpr^{KbtT4$%nNtnQ=RLLx={68Jk8Vsp#ovQzl!H|
zZbez&Zs&gQ=Y89Ds;<!OM{vYOQlG-$?uWK~kcIc-pIt&seLgKWqUuPtEj)vGw=BV_
zwHja~gif~X3DI<18X_9z|1_hym76JOXj+NwVIQS8-(l>-)G^J98a)n@s&{pn0^(0Q
z_WZs3iwcKSG}z-LW%x-gpv~y<jT>e_^qUT~n($Z0VtyJMxI2y`5sWkxC;QfgGU3fi
z6b<j}Wp?U>4g7f0EB3pX-dfjCX4B=A|BcE=8k$qC<pg#+Qwv1aL!(&6`pqAVeLF4A
z8nWEb3ctn`Qd_l>9b0(;uT9VlUX5!aK$V7Lf1I|Pa`8<27IM<lH=&Efv|n80$`D&d
zZ6VBB&YA2gFP~&Xn;v|M8*MV-H1@vFv<b|;Y{Z0|;S`WV3^XdTIt%aE94g-rzkP8J
z4ko>pU3P$Zv))ojt-n9%ek<^Ip7spV2)1m5%e(iJ9~5+c*D>e@K8QhwRyv3Fj;=SK
zr6JYexEd&b^Z4iityTq7M;qdWQ&RZ^_DK}OyLDt9i4vy_`0XlKiU0Q1MUETmEis^R
zH!d*<XZ0Zk2a*hSq)iY}3W(cMv4(?A{Z{>Q;1%Z0d=)7R8t*p3XdU%l&3KSII8J9v
z{JJKi4k2x|!u-^sArbz~_>$Uk<1}C00<^(f9rPgtwZQUlFnc!F`!j<4RN@}eMs(v<
zy!nC)38`iF0<LP$VSOh2ZOS`?2b)UHA&Cd{!n|VbCcN9!!Q=f?^FfwJ=y23~=iMm4
zn#Txh6n1%L-Cv1%#G&T?>W00^_#Xqi84~ZN32>o<9}*&p$2ja$*E+_u*HsS0{$7Vf
zPsM9?N6ZBEQN+zx76s|wNB2-?c^1Zoxp<*N@T1-oxA-&D!6aPIvPhTegx8J&8_H!&
z?F#sbmUAAEA;uW5*a`3}NfV?dfLvtz_ACI^kXd&L+EEaTFc8C(>JzI;_ypGSKj~7G
zJ9DLcrOIuwydP`%*Q?8bgF=#@avaQRjV-k#Q?klE5J&a>n$BMYB_$tDL*TrlP}Cwg
zV@>iO(T-0}GRHnfvge4|Og2`E^^hfoe+)Kb^>$!)n~OSrK}8F*=ex>%l7tKDOk7|(
z&pRpukkdpSy;iMr!?EjErlpIOeRmnzoyZM`KtK6HGsfP1R0f7axK587<7vZ+I@qhU
z>fWk|UEDRBSUR341~Us5F->Ol&D>?2rW!RDZkBy}qh?WMrR#KmbqoYTmnc6_7T`Es
zLo_&y8#_e2rtaW)1o5M5gr=px6KMN~+(65{T<fW;+x#j<mamW^!{%H{ST<e0Oz2mA
zW9!gW&*vv!Y=vUAohfQtulq%Y!%RxsR&)7D9Ox4Mh{g?V>Jw1SUJD!U3;W^rQxJ*w
zn^2^-vuxNuWE7TL7dh3;s}x`Ghrfa;x^-NOVPxwBV1=cj!tKlS2tP^SfLWh!ZKO<(
ztpy{G>$O7~4*{ary|B0d6={jgZPZS(-&fi%n)gDr2c>lK{W4xgaSTKM5uMTfs}&>@
z!`=n`gZ&vdx?S~r^;|jC(Zl;^G4uNs@10GCd9GqL`IoxyMUK&8NhMd%;BIDI{@_&}
z=9Hf@__Zd32AxX#*B9ui>ky@9U%(ljl8P9BI|(-h)8Ly0(fKLGw`&Ew=xWYuiyH^!
zB4!zGZ~mcfKz_-tITc~Ecbcs+lA#;@>)VfCnjpAE3w$}hKR;LTsp1<H^__5EFzl!X
zKXw%&_ag<IF$+k(|BxHL%90#3t&kPmp~B?N-F9j9|58u%TRL`Jp{fG*o)<i}31=bT
z-!@fFyzdxxmTbA|awmNKn(Io63SZZ4kyD&**9FzD+-m7}TU^Y;K&eB7(Ks5U5g0Wn
z(Bi7(^QzVUu0V79(4XdU2^q*!&m*>!3?PM?ZY3vewqQ>yGFLy~9A9Ad-ZeYF;8jy=
z2spWZ0d3w%Lz6v8=Zm`h3=(E0`QI-PDUesdEWjkA$$wwkS;H(K$|-#rNH?G+AtNDC
zXF6U1&WlG7Ou5c4LCbLU_0yw^t|P>`-mnl3e}<SMc6-+15kFUmrWcO5|GD(PSAP5N
zmG%vz+lQB+_vh|ervJyKK^L9HN9uLTn?OV{;K&mt*6wB50AS9}?q2{OEEb9;-toKy
zu>;>J0MUeG;lt_$bq&LSlRDnUJ<H~NE$iQ#8^$kqm`*~Xjz~JpKe{5(cseYag#zv$
zAWGNOy|RPl0vCDa`ymDbr>CcX)BvyAi~pePQ~YZV2+_(={0F+~B9#hAB!AU^XX&4(
z7N0X-n4a=sHZDOYuI?HCx$boq@cY1LM`m923;pwkVNs$Z-}!$)gowZ`KnWlYRSv}V
zKU4-3cH6TQ@J9iS|7(9Y-!s*?5%5AwGz_c1Y#2RV%R&GghTxusaFQebyTrZttBoiA
z-<N<UF)TzFC4xXS#rv3l0ks2&v*N8ge{wf3iuVyGe3u~dBY?*t-d=)$u*^NiOAz3|
zJW`+8$G9I6M~OgOd5<cBPz;nkSXMvR1~Nu~WCFx0;L(QG0|?)(XJ!Fk(5!n_2te4y
zA(}{4djO0V<{w?l4WohTC#Js<8N@bd8PFqW@iT&p`V!)x3lILTe&T3)hIZC&ZT3UN
z`~)I;fk0P@n66_ZA-9MbwHaW}r0;vEVW3?Xo-HUF&pjZP{>^rl-MRXansHCpE;CU5
z{t{Gp3Htau1#xP6wqsDRJIwC>bMn7XwHS#;;%8=gGmkF*V#M0193O&^YLqQ{IxNBS
z=Q-aRFst@G0Ovwv>IvUD?!rXp79|iF2+Seu=l47|H{yhIH-M=$a0vop;+9p&>!0&g
zs;L7o5g1?{I`6EZFz44o1M6KRVnt67f5UTQ5X;4TvSt$1>eqe`cnCe~RgKVbdpBXq
z*pBQZ@Ml>=B6`TvFb4b@b^9Evsrz3FUYca-oOWT(d0GF&pnQ>9wo>Q(>imWgj=%N-
z1H2r<qf$&?471}|I8&OMI`5E?@x*aOA!0qo@%I7JFS;Htv=P7yQK=LL9a&Ej<n9E-
zw%QbbU7O}+H~9VqlIWJE0Vje642RB}#mMRd1E0BuPx?$HBHkMqH#IfwMys#BWa72i
zHKTe%BF9A#V2JCFy#Qj(07>_2jY_1Swebn(NbxF0$me;JRCG2RHj`{*-CrvNHq_F=
ze>H%;L@L|{5@udT_n+|CJ!h<=lHC0z@{;Z`hASCik<i6q^){{^<p6MZZ{ue}7yRL5
z>VFa5?kQh78C){=aZZ{@G68nm)Mbn65R9xxVxaHs8BIR*81u;yE;VZdqqGwmy9>YB
zmi-w6Eey1t`P^9syA-%K*q>6QP1(0(P~3F{S3fa%zU(LMr$4kffe`Ao)0?T2mEIk2
zyhhlJ_#ARA?pXH3uZ=!`$+>uyE6WsrrjTTD5_v`Qme4&rzm}z0XIW~=(=y@MeFW3m
zna#<cQO(rY^CWWiC#&^<uO6^vt|~Kq6~uB`XVEw}{O~(_iaxT<z7cbz@QLZ*;ACn~
zCV(VzWFXZUI=MdXo;Cl;MtzL=dNiYS!|2kJ7p|RpGRm?{iI<?Ne<>EQy|Tan8du&g
zNC+)|ydehGp3ZvB4og=*;I=cT{-xr@3+D2fcdL3q$_d$gM($fa_8SzZ5d)8gBwZ0N
zMq&qbvUog)AN4D?zX(=Xy~E@C*{t-na+ziwRn$JE5y@;8Q=Zy$E}|_TSoNhZqJZ?y
zVG#}TYXMOfU=O1!&{s1?sZnU@wJGCQM(j+nG9#4>Z7MIIRM8pyJ$+IrYZ-W5Pr5_N
zjG}RKLh`MTB}P{56iYW(8EsgDhgTwoV{-v32PSPwwA{w?#e0=!P-phyb$+Q@929*5
zN1VVCz%gB4zt+pV5Sk%gsqf_bjzT|*;gyfK8C2%eBMWHC_oOtcv&DRE*CJY%b2<r$
z;;NbHb^L6yS+Jm9XU=)tcSUHrU+|)G=lx9eufCl#nlI_|IY#NglBF77xMTTo7o^YY
z<Kn;Vx}$LiGAnf|Ar99v^W7H!=9dtj5CFa6P<lrqcnLLw!(@xfGRN`+p&7Os9(-))
zcr0;otPEBTNAN%!Ac{6_p?YVi2*4+e2cj&=%D|1M(>BUi^iiSv8!v7N{jNbR6p^eb
zd%0!>-s=|*H&k?2+o|#6e<{Glq<B#u4d_Bb-6u?g+6qxl3n%d$)04x+cf8kPRQ4R$
zU2n*~IAIVRj{hAgAUeoCuiG!M7Tdg}i9MBJT>2ZZJ`A)P_&cpnvV;=!wVv`HuS5sn
z)t-M-QG4DIkCohoLY-rs)#my<sQn<avq$RiL4lc|X$(-=8#yd-NZ@_$xJ|@9Q{SR9
zP+IMo3A9n_9k4=zdk9Rcn8v@ow(~;O{wQVg1C<E}efx|Ello6?FZ^mnFQSgTM>Vl|
zj>!m&WHfWSvM*3mQAldyE1|C6HDc2UkyaXx_A9>6B!Hg-<^LT?3t>oZd{QK<zjddG
zOoDy3HCu5I`7^x>`Ko6xXUmbP(C-!#Z=LK(n=_qy^FZ)OY7aOr21DsV19LBmpV2&b
zt2)&ASzE9bmT{|FrrxDLE^9_6maa082W~LL+p`aUHRq=`W39<}({C#>+B)l7Cw*af
z@%u1notiNjxx|T|pI`W3e%RkE4BRx^N(nGiVW31sjOP@Vz~^z+3AaaKZG>B{x7eta
z@BcrNzQv!({{O!shufKMha6^x)!m$H5+;Wna_Vs3a*WvwHDr~@oX<IpX~?OAP9G{p
zTc|nAVKawPX=^lx;id^I+8Fn5-^XwNz#iB2K3uQY^Yj|+fV?WiTBRr?>b?QyQ4=h-
zP6efD-7J-*&kt#P9>CTNC1ZYR4wXLYnz0`KCfO_x%tbj$4Qqp}A_&`NW-ro<^HGfy
zz0lSM6BSnwnSrXVujJ&Wk>&@No~q;<v|+>(v}nmOyJbK6`g>=VQpF!PhRJ6FW7fIL
z-s5Sy!};0YnDEX(33>hUVE)pL>G?aU+qw<?H}MC6ooNT0&gyv)hqZk1Yo(k$iM=5f
z<tZbEK-<{P9<1sxdi5w?1*OckLCn}95NHIW9Rrx{^NKk96OW~~ipB985?8##`ojh$
zunl$&MjKzsR&lTESqF&3aDTTfn33nv>yzqU<xK0LjM@R>pG9So3q(BWy}Qa$K(^9A
z!OWZ~rS$iX#phpr?rkk9ebkWBtS2^<W~DV_cY0W1GO<J$LGVH-84`93S8jMce!Q`6
z2NSuH<q9&=oo{s2y{)tG*K$ZfUZ~3zFuqSt_R+zu$#$Mc;1v(WyLcV21smNo4Vsmd
zl`j<w{oQ@byViz20#0j8_lxrC>dJjS0{4Po<KxARySX2H(G&8#&2bPyf)sMMF9;eC
z=8p{ap0R{tx~HR-V?E)l-<a&M*YF!_kLHqLOF7~KL|N*VsgAk#CPiB{nRdZcEzq-h
zmfE9ws$zUg&$Uld60*7hrdFf23;C(+am=^{qA5A2TqTxUC%z60jisNWW#smQFLstF
zi_=a3DjB$fg6l@?09v&&{N^6)E7WO-mtB?>*L@AOsFC10cWy|PVD{?&mZ-F8e!}Q#
zyk`C^i33g1jVs}<=$-Yto$1mg1=%!IDFywv@4TCcZ%5&4@Un*>mk_e|ktZ2*-!8Na
z<)m;z2e5WU=@~7{jmGcsuF(&LXdJ<$Nx5AZ`EdEV*fKv(mV3MrJ3dz@i+F%urFGl?
zG_yA*F?Ne?bCAEXS{Hg9XGy`}=Ys~iZ+wh02w`99%qcr6dEnyDxQ#s?wzTylDYX2}
z5>pzedb>2$&NS3d<woy1Ul~Nh_}3*cs1R&PjNaMHN&x)7l&6-bygUH&cB5@}G^-tP
z^#!;z)R-o<>Sh5ErX+8Gk)(b;D#F4{)=>HN+q-NzUuI$kJ$o0&q0pPFJd3;0DjX&C
zk*BZz7vOy5ycRI$>m;Q4Al^pDzgn%BZeuGGiVWlLSOwi|Fk&ZhpILe=eK<0@5mhz3
z5E&&d9&{JoLQlTXu2@y~tHg98NwCAN4^#@<8_#FSh+4BhbxsE??>X4F@()izo`!iG
zqLPM?u%T`}nD)w$fdWoT0lmQ^2I5G|^MzZONnNt(6T4L3j)NQa@OZQJF4+jF!Ku8R
zsSWY>nYpovz3o;?&^OoeH1*|#R%(PAvWm8U*?0vZvncy(PwVR?qEE&#B5lCE!`qeR
z2@Xd~J!N@9k*eUbWitD+3rYh`H|^O}EH5=KpU^f0CX_2u83%JF1pJaIyW{?*6H8Ym
zG1&Fn+i6!RHl6t9UQ>FxJh)V&LC=&hA`j_`iF{^0_MoP`Z*|dD{7epob5>5&)LS3I
zND&<(n1PVec;@kRMcd5ELZ{tDQ+;ldkdT<_R!aY6Gv5be(DwlUWGxkHAG6Kd2@<y^
zD{Wm62;M+w>_U=B1+tX(>$&y}ZNI_%L+7-1c|@weuu^sI>qE47*)^mF(9P;44<`*B
z+eGG-u>$;k^SvJ}<h7LQ!ve<yh<&1U=+w(cTe!S6%^>oHZwIcOj(Hj7%+*-U;U}jA
z%*uYQL=u$z6<xxSYo*VL$%;&~!na_CpElb#G5RPvVqi}>j;*rrx+vGb<|sX8?}IuL
z#~mUfd+}lPPe0UmNqh;e1`jl!6rk6*RMB71X33IM2OBjQe`U2e5XRB#_|2RA-V+BW
zXTykymryseLF#_8`RmQ=hU<p)e(?sLx7P09C--5_WG>Ss&Bq^MxRHkbI8pI#YcTL(
zpD{*-2_OKBjpAZKU=tF@l3~3k{&IeyS}+c*2#>uow7cEyKk=T)Tk-HqlQ`J#Cz(3p
zv3XT447q<E-(PKfJHgZR3oXlplu^H+nxA%2&PJ62t|nZ%jZh!GWE1nbuwZHWBBWd{
zs+MXzQm?2ysVYNL;uzQ1f=F>iM4Eb-njjrL7G#AC-`Da}(Ge6ODB>MpeK!vrD1d;q
z=6R+4PNoHS2_^=QA8JKVaK%B;Z*hG(rEo?>Y><*XqmE1>>5W0EhOfu&Af2&Rc515+
zjv_UOnMokTtpS4nS%ThBqUSf)1TVvL%P@cFFle_#toP_#*K4(sgw<`)Amzf70i-a;
z@FT$D>mRomOF3<%mo%@S4v}g|;_kvH>zI+7rnjTf11HGz!Ya*N{VbJ&>nMwnpy-4@
zV*mcqa)l$WIpd^q)=JU`YSKG*>;jKA-T1x!qpXkp6I@Ir3Q`^AeW1nu?8r1W6PlOu
zp?)82QkVW=hCwpg4z89SRC)Z?grk1Fpa7+ssB-lWdEGa@WH~98`E2aScA*&|rufd}
z&b4tiUt~s+1`&g;Wg4}Dj#Zk5Vi*ecq_M37+y>Q-@E{x&QRSoU@VY^yQo=%(jVtYN
zAFtXM)I`>pYc0jT-OBrv^Bng5x-oqrVcd2-S~%mMamomw2r?cutcBgr%JsN;<mz-u
zssO;YcpJm;S`HtT+_KKe?UyjY0u0+MYy(4XTiRvziVO8^Joo!y-wSVETOLS*J{#aO
zna#ynye$3+p$!(-!%5xWKu;TSP^SRud#ewmyR4SeZ+3WJ5Pi*xDK8Gv(t6ZotaTEd
zI~-iT>-jcIE4nTv*NQ$Fp6Dqj89nE{I_w?u0AG~YT{Xm#@i|SvD`gF$Yh6<O-c;Jz
zCRkX%iTD)$i8NL6<OSJqaV++S_DS3L$;D*Gjc`K`x-|Pr`Iz9peMcmVfsrq8NvHs1
zn;5_`AqB+{zV(B?gk{P>h_XOEmyl}EucE@d^0d5${s#w=4u5q8aYt(~6y9il;;0ci
zd$6_K9plvB8y|7f<OzW~yD(@ByV^Wn*P8o|(6M;L_Q<e@HHJ||@Pc1GoFC94(-$<;
z?T|x=%TJUKh&=ezu5+-)Gy6A6Ha<2nA_k_uvGs8+gJ);U6L2mAR41nEm87gy8F}Sj
zQ-kdWL+%ORHc$>)Q{557yA&(w>Nu_3K;FBC0;pUPj^n`SQ{-OyN5DiIz5bdQQ6Fo#
zH8x_-5Lo^GKV<64C&5*!Do_9aKiAbTA7PcR(LCLO`tS^&2Asd8@O1=RO*UfK>Uq&o
zVk`EXrL18oq;>$*vq@q{<bm{#*LpF4PC4LfF&3GBPvYXkBdN!FPQ6xsl$ZJV>C>f+
z`i|^+-N=jmzY?>|-%LGV$LCjvv=NqrE|B5MrI1SR7e%Q85#^mGbn-h&p*CX~x$wAU
zDxIW81)N(PG^);lUDC4x=yQzEUygm7vw1BGNwXeP4ucJPT)XSu405@jL8|leG|5zE
z)6*n5g2-Rcs8HPw%mP6J47Qg!9lpTubh@BzM%C>55s?AgCtXZm-TDM5aARCzY>gQj
za644?{p&OMfZG-ong88<2VPOphEmtmk`*FuZ3TFG93*-@Gl<}vX^k2a_xW%!6a}}G
z)jOVMn0gwPc%~|FYyUOj^#g2m1y12*<!S@xQA<FWm+YA*{;e|oax!Un{kDxiWCkVh
zO$0!g<KBqSB$9{mS0YtAM3MsFDBzwGfp@e1{fZh>0;dX1j!)^{M7fxoG-tcR2C917
z6C^<x=P+41L&kq;;h`gFtFON*7OleD`djgAYeVFE_SZjiw&Z-D$I)qcL>}6h7FzHn
z$ok@w%9)_IuwhuQl<lEDS4^@_NzYn=VhVY@;oDL%iLEg%lRfeaWl;m!2E<iY?}#KP
z6NX0`>S6Zz@%32W!SSB>icc)>fuX%4B1c2QwpF`)%WiwCi_C`53KlAtlYd}wG?ph|
zT)UuJ)+jvja)C!=bKIUsR7a2&upUeZk><|>eOzjj3-^!LtOO|{0-(!=Z^wm_$yk5m
z#PIO(WPrU?t0BbfmlI5k)WkGi4m|2|^5f2>i=<wj*r_7vT8q&Oj@7r6>h~mP{NAn-
zrZV3rp=GMg409y3V;O1LL<T{#ru%FDr?~oOXqhabl_evN{Q0L9)Yqh>br6-BDA)q?
znCaR2r9BP<T_`7K@OCJ!T-}?9Vg?u<$uYc*!orj>=PAB!y^-5Peq?2JC#t)kY7k8v
z4+j_#f~&SY(UT78fcNpI8l-WC7ImJU3^g&JWY((?>LKP7LCv<<kh#Mn=WA7FDveH`
z^<?PB;l6CLoFK7j2#5(o>txly8@qh!t1`#}{#tvxX_-<O8&W>z%i;&to_+!ql@q<j
z*187+=E<UL=DOO#_<gEK*073^CgSM9UR77^7^wQ_1?xH3VUv}wg6&2T*U5=$(uvo_
zuPbgTyBsTP^)~)`SZ!d3o`W%+FMt4)Pvop~A8~v6EdIF0NlYZ|oX1ha@*vAz24wsg
zqys`6n+CGQD-$5?Q1rk%fb4lxAqFQ29LSJ76tj%}Z{L_Lmj1TIl9t(9lxX{BJGoZ^
zS%M_($bQ`Aw!P=rYx}Qma4+S9@c~*OqbBL`(gjPpA?0Z{DUCEkQ^ra+h=I$9#zDED
z7?ObmVrO!4ZE})5cMCD3ZV24_^O(7^Kh%q2TrMWz&~IO3sKvQADM?|xYQXtwSr&qZ
z@tS<WG2*k8%v%kH?t7|BGyMI}@nqa#1TSmvZpqSz>JK=kmW~>rXTJK@#8g#%9L^UY
z2chaTm^c{G6GV$By*`1uxbHk<X(f60^?WE^6S3=^^2R0_>tb!}WepLz=ZZ<uz`zif
zn|hd2F&kR8>NIGIdYV2|F?2gA8vZ#mrIg=(qhtp>hY|ti)ITNWJm-Jda^ZF8z!9Ub
zHq&)7iQIX%1mQhtnYrI81`@btviDU6(Kn7La?lWZ?8vf|$lK1IJv*Wp($KhXH@9$Y
z2ht{hbwl!fIZAvKRzY@fn_`#ZB_OI4x8*UO4yn>F0?Vl}I@ND}-5{~k@;-*o0c1+0
zda(}Lx3X#sPcP}OVWBbEZgKQNzU}PuS2dpy%716d{XH_oTu(!^hAnK)_b2Ey!2Lz*
znTZB@B^YGT?h6t_zK{FfuHKK~8H1~itFmNzX2oozWW(5^;!yovZx0(~q~~G?<ms8A
z^z{juMBO|4EUQn_+*#v6TK<VZ*;e$pLT7^GzONkzos3d^*nn^R0F&|mdl)%LmVFAE
zmuSCz-60pHmGH(ht`u+)cEIg&@|9rjoKZ%dzl<ETJT6ntxcTC$7-faEws!%rFqf-6
zStTK!vaK!PkhlhfX?7L_WN;mhSL+)kw`$Fegp&zO^G<m41_XuLEtTHdxvX7*nTp`v
z?DEn}mx!1-GP2yA_Lg%xgSY=qo&mmf?X2aHth&DYxY7m?8!~wyTNUjT^q3G?$jm}3
z8|;>Q@*p1HY36~X`_4v#Uq7^yqu#V5FWj6}FgdS7_#ekoBTlJI{GI}_dk1LXQj<W|
z$OtVd8Xeqm%~_Y&?__8*yU=u5JqQ^vA5jHz|2{axy7szN_N2?{BniGePH0tzBPp-z
zl(TYmYCXfC;<<?I*axT(OBeOGwA`Q@3?;e9a6u#4T@q=735OaW+s$u`b{w@^cUQhE
zWvilv*7UAaH62>8>`U=c6QAYqKdD4y!pZ0>f95M>SY)(}tBjQ^Qy$sEsjU6-UWjPE
zBkQc~))($8M!+VZtxr2lQ5Bcsp$H2S=<+QGKa75El}iW=bRFy6Nw=kV$@Dh9GE$%N
zY|+AXsrY6QOs2Q`JD~9HPjNUoHG(>aVztRRyMN0;?ckAvLhwMBW@dfly)H~TxGWo6
zxOE^nt%VQ(6sf4N=5GH&akMpmzt7di8lZ{LfO&_W!@HH`jE2!qDfKRPS{O9%AGTgu
zY1z`yy7E#9!)%>@S#LbcooOR)L<N(}2Sk~oJHn{E#T|GDriaQKIowOQ*sjZ(7AC(5
zmDKIW9E?rck#veb68R)i&H!D#r-^`A+9700nk{l_!ZBdp#KGF}eWB+~=5C*71gQV>
zP+J%6^D<l}Jz@WT3pq`?DI4wSpCS)K@mN*^Na3eRj&uguv&1>3#?~T&00gQ97}ng1
zkXh(t>&cQv2Za`7;>PAOU}Ah`y@V(R3hTvylE-&>bAem+ERk-EU16c7=@Il>0`TCl
zTLHno)5h)&m!qo*;-*2ET(W0Gr2x~n7|zG$;rYA6Fma%*oHfY!zzNcig_mZVR*Ffp
z4&EPTcaX03r8c0WZP8*stxYAof}(l)Z0O}?!oZ$^sAl%&wOqTh)<OkLJTD-H7~E#~
zXc4`4Gk3g%5S<9VJh*uP6A-wXZCI1?A^`elQ^Je~#ifd>aOMP@RgGO2#l>~(HDg19
z-_4XW==VuFVPRqalD~L%X_>{WuXi%wBEWmjj7ffRJF3}|#UqG+F_m=dg@*>3Wc|Rv
zB!z6c>f=E2#KaoYvh?FMZr1W|dK}&23|qzb-g%0oCCW8GF#s)TtDl3Q-0V8?9P|Mu
zVg7i+U)yG3+ivi=LefdFbjEYJt0+2@<vZd*Pn6ZidNNe8b;uXTf)+3LXkA^F9aQU{
zl&5lE(Up5FNW6FL6qiuadBV4Zk8Ci`%asSDDLhexcwAa&o;8Uq&RfGVGzLC!>%3w9
zawxxWtNB!&*#>ksq&9q6NtRl?^&+fh@lGi7!Z|2)HK+8iY)>PKO^eO3KdxU1?sL{h
zYFi#a&DwY3EmFPe9)$&G9g9E4EiNK@UH~BUJv|l0gJhq)3{Jr@SrLU;#{XT#zIk{u
zLLf%N4ia=KEJO#yK>pDrkz$`&R)4&B!Ss<ri#U@Vi1*zr`QOQAfLjBbB45r-qGqWt
zS!L-|<UeagX5pY`0?Sajd6o{&j2{|YZ&;D=1*a16$kdZ#r`C1M@Uo~!A)_VCrTKF#
zt^TRWz;GbLbbUbJAISfJntH35RD!)|`bf@!W(no*FUvg<(80dsdF-y3zJ&8C$u?$K
zKqi}@TN}U#Bj?5HvmxX2HZxQCZj3cMqz&NsZ%}2wP%fXoEL#)#V?~HwG-_+ffJ(W1
zwG=3Bv*j&z8^C?zz`amPIRia_4ZU0g8E94FTQC+ndy$y6P`)Drf=p0D<iTxXe}7*6
zRHG=^-UF|#*VxvEcK50Inn#IxSv6bAtPZi2p+CRL^|YLedSHi62Dn?}V)I5^k(Pgd
zhrS{w^JYeyoJ?588=F*W*(W}Y&`RMITt#G`669K6usd1ejAwe*pOxzOXIobtGXZr=
zGIB4r*L&i*@udl)F-fL1$tJc6u5#^8(}<>Hp$Ewy1zNnyW5>8DB=(%`Qe|E^DpYOD
zb|yM^KISIn*-b`GT~LrZTc*~;=WP?1|1MX1eh22|S-!S0u>(RZavR$cK5wKrVdaZo
zaiH2UztG4C*jHuhNK6_53T;Nm1SOY?4FqTFrB|aUN~v$_K}O6mzXb6Nbs5@Pm9Y07
z&XT6EG2vkVm7o(=`7EEe0b}M`yPB`o->8P9tba<WJ+YLB=f&Y#3NU@>1>y&17^i%I
zd1AeXU)`Bc5K|aqNnA|o_ym<WG{&lh-W1B}pSHw=j9|2O;K;vGYuH@*6^E^>&xx5M
zwfZvBWnKz9z}+{P9nGEj)O0I>F&o<#^ZIoqUR?d(>Yc?z6tDXP08a0~lQ3JM++(e&
zZcO6euXCz4gd*EkbP;)5uxHCrQm6}1bk{G78URXZ-l~tRf&+mLU%kR2v%D`<m(}k-
zaBFqHj_@h~xej0Boe^Sv*^71n>RP|e?3z&&b9H|3_t(I9S=P6H3p4<WV$VUpD*qk>
z0wiqP`rqCCr0RLis2vN|bv%JE!o&WM6zYxj=ISp_J!<J=kcVp5$|k4uyqQ;ecv8%u
zX)_T@aK~y~+0j`2?4aqe*n}tvP0IEb1-_0hc7O{K-jIzrKAf2=av%pVPdVG4P}^{j
zthe}38QK>ECGVWJu$Zs>l(zPimqy=H_4wtsu_2PTIb|6IDzC=8b$2@S_T$`s{ah=n
z-Rj6}2Xs$rk918;kvg>TgGdfpwX>s=D&8!@ZY+R3H^)ra&&XV6UwMe|DncAr<`(be
zr=2GdeadQ=-f9qWh$Tb<4e4F8p6gU;0rTKHbZKe26rS>VOdCW0L_hNFNHpqlT>mAw
z7DN4TkeBYO{Y?IXo?~V7RYaNJi`7BR=qQeb8eyC0y`E|knA5T_oqddJX{Yg-#E!?}
z`V4zW(&2W01PCT3CO!%hTJEU<iMbbIr^!oC*J@(KbTP8r#U%}(M{!waTSiEDC2vUj
z8mMVdFWgKS8UNjHVa!+6x}s3*`cSz+I)k1PY!6M@&F?lV*uf5E?MMl96IY0aT2i+7
zQxTc<*fwriY3nIsnwpbMWSEeQSIViEqr7kR+Qct@ZEA|P-vS;Q!QsmAnq~YCbF_u5
zL!(-PQKG?HuwOK}zikNhHEimM<)HKaN~?vsbox)TCQOimOD|haR&K3<uzl^<VfOEt
zuB4TX<)~urVS1Scu9JL)^Qk=ae0AS9DP;U_c5`im16fR^13rq{W>pXfgpN^3Pmg(a
zdd@G1o1n<mQO_w=P^5*B3opR1kvwAnkX`ufs6Mm*uj`QjL*pUEzLW|Zt)d=7W%QmG
zX=khNTrKoboZyZ$L$ov$#<q*XeB^2HG%+%cuqVs_Y&)lg)3zB2UU!?bvU&odry8Q9
z(yMpOv;O$om3;YZ?2+mO87I6h8u=zTr2EiM_wO=&+l@2c$;j1pxZe30hCYi8#4Hzo
z=nzI{6z2(zTJD7qKiG%;pyI~Mp13IPW;$_aql9xNB={0;*clH1dK@E+c-sPY0EW%g
zwh8hi?{s}n$mO%79pxWsGMUSog%mgYs?3zGoQa9SOROc@663#pwqpC{@BY#_LJyMG
z9sVFmdW8WjHqx*fS>OCWJk*{#7y#%!fE9EQeY!JRFmierL(a*_jN;;VjZkzR;%RdS
zzHD6De^x27F19(~{&dZaAOc+ozLrA6gkMloXmMhg$mCTYuyOc^!haqpG!cdFRLr@w
z57+w#*(^}ys|VeYpu&7Z1)*7EZt6h!JdV_e<DjzY59P%KoypWQw)*2j$=6CRybWaC
z@4>;1D^qaT7e6ftvL5VyrjG|{piwgs_@ci<Ap>t}n(DJnY+t8<`Jx*cC}oG@@<Goh
z5`UESd)A+(+#mfZkUP48*cU7W=J_yF1CU8_aiuexzxMbHyXmfYZhTHbbwXw6!W(~!
zrlz&WcYapKhq0eb&R?nRP<|X+f3o5P**=SC(r^-P`St#?hGePK&OT4h{(}V9?qXb`
z7+-0V)_)+4219P`Yk3Xf5n#GCi?mQ#OL>a9o95>tipc#hnd*T&+z1W2Ut^&JT?wIo
z>Pj6PoHiBe>L*=`oH)02;!5u)<4fMPE5b#`gSG8YzxU&kZPVsFpBMH<Dg75_xiumO
zFlzcyri3W911bJ<8R$?xxix2${$0^mtbR~rCTd?Fy4tLOug$ZKz~|+LuBSK<8OG;@
zN*gw!mLi`AP{}dhmfqH`n&VYSB1}fjNE6({p4SIWRpc|#LX@*^ZlVoaYS2W(x&LMG
zW_CQI>O?BOP4+TR`u^b-c)c}{slVMie@h@6foH_j58qU%qooS?zZ4q3sM=;ku=+F#
zD9~ln6a$8A{}jthlp*w;r?)gR>OeX~!I)icot>we-So^W^_7p+CcN)}e+qD)#^7vQ
z%STDbAN`?cHauc|Ros&@N<xS?(YGSFuuCeT5ydV4Lr07@k_W`I$mL|$($kvW+Od7b
z%A#S_W!3;9<_u~{wO65X<5b63_oI5I4a&ugZTywVB?`xj#T=22Sd{=F>X29o25P{)
zL&B6Hnx>0+%n0r$>EJ-OIuhzJi){1T3z6!fCt#xIH#PAKtnyH3F~#lZic@AU+4%Bs
zN(nyO=#_EE`o&Mqm;Vs$*<i#BAT1z*@4udfHrKYA2#A@~#X<7R9cA>7m>2j*wtYCs
zfU2n{D(h5dtEMnenx2s{TgcIxBN%DoywPOR2~OQ_yLBs|YJymyRZRg2Y^EN6NlBV{
z(<Mp?81(0wJp1#tg(R4)kYQq17=H))AW)}kA&=Djq3C`OO}j?<4-bD<l4c||V*TIN
zH8Gheh#ZW2B^F7|p5Hpl*A!1|uKc8vLoSuHro~5t!r1Dbq!JHCb&|v|by$vsRjG-2
zm`)L<P%%d*j<>kjXG(5V>|FCOx-(Fg50eJ#wUr9tT@i#tq!X`RX*MFSd%#+`-4l4F
zuFRSD%iR)*!^@OiqcI%sc|Xl*e{G{fV#kWAlJq;td%~-W-3CzQ789Ypaa{f{Mm<2U
z`A*W0>5e8+ASFv)SyrC((?h5?c+uE(LVKo;qnrgFd7TtPKAMACHwamnP(U&u#R0`s
z_KILnYolTBdIwzn702&KLQeGo#A?BxceLzFH!YMhFD|Ql*@5<aQnDnoYTLL{vIkM6
zn-W*1Dm{>sYwQ&XsK%!p^3m&D_5b!kq)eH&jH};nd@gLU+viRf%S?C}4xXVl;r5;W
zqT}~8I#Wd`_Z@y$@nETfuL)t$-B#D;+O#i_mid{x($li~x$Dd`r_<Y`XDo{x+-oCa
z2jh1%ZGh)es%q<AZMLW}Quggg@FgP`{&-i3e{{2~_%*UqXmbkmH{iL)M)iz(xI`Pw
ztkg|EXo)4M!Oh}Hb2krfAXMcXgsHDgA2&LudgL%9HQ18TvUKrgUF_58t*T2&uPrzB
zC0YJ~(PzzRZCyvd2|!>fjhG3ilSt);o{+x5L58-rHsrThaU)Qf|1F5f*%ZY+Xc7+u
zlu3x^{<|*Er~iyzjtYNn;t+<X{(uP;wMUCfhH35<9nx9NRV-DpG%p*awovOFE)k}8
zthK<J1*nE(*9IwcQ)dd+soBY7KObjLqb7L^LF@XinJ7QF&!0-rZtraNBBfHN)T}tA
zvk_MRvN0=4Glj_Uv|PJu{%QK9?CT4U?9>5<2H8M<e1r+|A{~9Ptl$&$yN(%Me?;PN
z19bQXTWjH&bE@)C!=)ko+dO1;>TUb*Sg&vriPStI&dexvY}f(~eHkh3W&wx=%=^a<
zI}@hb>pJ$mm@1=t6|TErH9Ka0%$g&Ihqltb9;T7%$O+b-<wRBrR6u#F=tempOf4+P
ziV3RX8X{#3BeI$BJ%FT_FiQctI<8OFb2~3v$jU>~f!Wrcm`J>t-UkI|0K(qYAVsjJ
zenEV6!2YVCL!UNuii6On#-EP9Ti<z9IbFD7W(aI|CNpAbg6T0vFaDTm;;>6ZkrXvJ
zyQtIgMI$wY94QaaW&aTT+==D#Khn4$X|w0m2gMXr_1?+fA^+`b)pHmOkQS>%(ZZ}l
zDGiaH*~?u&LAUg)zG?><rqEs_HytGaIgSItU7sf{N5;r<i}qd&k)2NvQCnGpnF_Xe
z&PhjhnWa+?RZJxqIOHv5f+uSEwKrN{ei3VZNRrHfumyb8)U<g@!Q;PYJNaF48Jtvy
zyuP7#N&8G1dM6X{2JE=!zo;=Xx0Me}w<aVL{mpq|U_Vpv))JA^Wz5oo1(TMc#Yum$
z)?Xv8D)-mk(IwgKQ0#OaP1-522pccNpD|s2O;#e*HY$x>-_V=$;R*|pkl;Sh%FHwQ
zm@?=SAGO+2ag={?t8YZOHpbYSuD2nnt7}?~<I4wqln0qw%Zx=hEvsKUO2B~BJk2vC
za+?zRXaS&IH}<%p)k0$f|6^IMJb#<!5y7fSx@uAhCs9s&`g~OkZ8L6pV|S(@42znS
zl)FIekFv95aY3y1m?ykkjRN|PC{&LX9rl$xz$T6p)sY`5h0q33sY_JD;h*J|SQC;H
z{!}(MPm4lTr#YCYo+&{hZ;&wmn0su_!*j8&XMLPLS}e1F76=u$q!}p7lm>^atFi{7
zN+iS~jv=MWC2~|rXz`6n(SmmZ{ly^<i%NOx2sCXYd`lnUtA8OZq~~p}>taZ0J%zMX
z$C-~V_`Wr2VoW=k@!IZF9TbmQ7}qK_B5-DMfr|m|Pm#7a!(xb^axI=>nYLEuTy*xR
zFL=T-zOX`qSak1HfG#B)NFxJ9!TG+L{vQ5K8k&~dduC7ZH`4NoYb|Yt{7(hiQI;ha
z1i+*;=(pfpjL|}dnpPMG!Lil@S3UoOxu0n1u7;lqcfRi8nDH;ysbZ+IH4nW|r41xx
zPJ|%BA(F6@l`(Qh7ut4<1e#m%vu)TUTg_`3t-<I$-=dE_ly0Hxc~QxrE{nG!=8pR2
z=4SZ{uVhwIeW4p)1Zi9egd}wSW=BNf?;@9?w)NDp%W0=so{*G1n3!)gMmU|1i6j}H
z4|m3jSOB|NQ#~p<GEd5lhB>|Zh-jV?l<E`GuZ2!WM+Vu%aBXoMfJyy-`=r-u>QRkf
z1g;T})uB=?=C42B^AEi>@0?$H%t>wHdf5jnu1!=>!soW{^!i8DbdSG618Nz}XtO4#
z;Ct`(BwgkVSRdL7;EHzmYm*bkvT_mRrlX@9LTxMz2E{+C7K+?*GK;)Vtb|XIY!Tw>
zK{<0=YUC=>*FdSS;G#P**Eg5fs||`Uf)Co7dUhl6m0%K(?qW?t_6eS%ANm($U?B>{
zmad8J9TDJ&@&!Tw-1uw|mS!bjV;L8voW+JIV#bBTU*7j%G#8rN2B`@AbGkYc*OMk0
zT3kUK1m(7%%P(?|uC}%f>WF2Yhj%P*MGA8T>2YjuSwZ1(;J)BZneQ+5EEK{I!L799
zo~IgHZmU0jOneKjPTz8&$rM&=nay#g8w!>k`tv@&Df+D--8AC~ner+L_4(SfH)faB
zi}z6frj`j_*t6Ld$6F+Xe(tx?J54Z{km-F<YM{EME!H9)RcJ-rLc?$O+uUfWORtQU
z1&=9n!m)wDow**KS{J?uV#Go?@(!X`bTO7UyBHu{EpF1`lI4$}|Lw~lPM;<~Y$MaM
zC%*=5kixAO2qfasXZOuXsS^vE3P6sTaB(T4O3ajlcrWv<Nv5)-G&$*5BTndbc#-Nt
zUP+nMQLTNq3$s_kf(QTMqk=AdDv+f&D4lL+)h<qGqcP`?+?8vUv-CFWOL_bO2SWNK
z7#xsdtLdkotMc|6!J~~t{1M{MpqbFP%;Q&4vj=u&M{B|wilo^OHNJF2bj4_^K2CMf
zDKTefYG&?q+hGG3D<l45O6+8iIaC@Pu_-m8PhZQu=JBp-q%Yo7GeNnntTk@^zkQ$c
zOXr9yIz_!%sH<A+nZ$=4<8waSuY?AX++nfqn^YgYVNO#XJk3)3{-;wTk!pHrN~Z+o
zfVwQ*D`wfvSZ?lOsXv)48Pw2&4tB_!9_t${s0biFt%G|Btv>7-Pe5v9uB#kG_MyV^
zV{iFYMvbXrq_lsq<Qpnk!>;#wv<9(_Zpl(bwkB7YsFlR}arUD3dLs8%DQ>clcZmAo
zHX|BtQrd)4>kgY>=<}S}S}5+76IV}W`AV(Gt%x?V<CU;~KAPp;?DlS+qCAD28fRmU
z`WUx=unM66i}g7A7fhU)@_8Lpslr4y<VUps)PMblfaT{JNgQu6Rk>(7cAh;mw7R#x
z*J}>aHUwaEcQQ8M3R`X?C@27@jL|Jq?=T%8xFNEiaB^>uLW%CfZ?Y?py98T#v>`hg
z0@ZClk<ND=H0S!ZH6XN<*59HNbSx*li8Oa0%jS<4Xv(*Ue(UEQpY0q}q%*J;_srWQ
zrFu=h%L5diX0~U=z6Bwr7<dqIF%jTi2(dK~$9@!uw3I*tS26P10L8{l#f838b<V_G
zKbuq)vL6lFu!GyV8dIa37S27v9H)<|?mfjNd>qKDoAWps_(VVtVf+!uQ&(zH48m~@
zldtt*CS*hDhP|dr55VZxS0un-*;7U^F&^A{iz>fvc6T>u{=a?l#Bu2K-o7UcnEOB~
z!;gF!VtSIY#JtP8`tkXSg-Tm_JZbFd-9u0Qiec!+4CJK?Q+#PV^HT#4P|7(AS?6Q*
z93nR@10r8(pV<!eADUZ9l8(z&Y<|~L?oN>ovMG~sUV6v?(GpaHnPkaLN+&dg`*rL@
z#8E=|{&2p#2HE|>+N*W=Z*g2#Lti3jU?@wsC#O8-=%KV)57=8uD~oyr-r?qFw3GON
zbjdQ1Q}5M>bm4!G1gj<FzBJ@TJ{x#onX{9ce3W|frbY0^H5TZlxAflyT$wte2_7)=
zyZ1|jTNdiOkcAhzr>%UbZ3iXkXfd|Lu7?a2D;VsZJa;;@)3Fk}Rq>{WsKFEMNsSVc
zHaB|>WegMt4#!(Xtsg%V*KpG2W@{Oz$u6<6Oy0`kl47En-MB0pLSB7o=LQSfa%6qM
zC-`Z355Fbtpa!0}jJY7w4l~Gc`3b5RacO0Qu}^J0ZwvM`J5fn^bxf7oC*GB^Gb9;j
zrH!{0E#Cw>Xd5|tvEz{jyOp`G$LEGMW6GzaeC<jIx<t%&0PXsS%9ZwXWj%#kTVpiO
ztx>+^S*n$l{L|vMN;gz3<72lR&b1`tl8ry0(+<Bx1pBuvRiDTl+MwJ~rSS+a3TAF}
zUs@IZx9@-f3M)N`Uv!Cb<lk%y0$yX}Ehfdqu%TK<MgZQfDqH{Xv2VO}+I<UfPakMo
zYd@c7nySVinoJu}s^0a@*JU~u9wsQa_NxcilQkTe%9GB1w(C8b)Xi(i(sO^}7?G8q
zACu&5wb2RMv&ZJX2;)RV=T@YYC(Dv4lq;o&;{LS+&0fxK%$q#Srxu7b1d!lXHHN1z
zhGE*AY4&Ost0y95d>ax`mT*D2nqOE0b=>Pj3y60EGxwHZBvM42w>Kh`(lCtY(eT_7
zr((``nG~WxESs-(;@GaXg;Rl16GKHC`|}^aGL8&`9C`v;xCq;U6<sptKGQRBFPrN+
z62Ja~U9K(CXyxD@*WF%KQhv~k8=M>)5_c17Fyev3RKK*0xiCi&tf4SOB@cACT%Gg%
z+Ik>I$&6NH9NQun@%aS>Ve-J@wLS!|71x$<azl?^9`PD>DAcqO_+nV09iH&U*?vd6
z+HRE@@UEkc@cTpaoQ=9;_|&?jFoH}1XPL6?!{werEX)VRv7PBRNIydE*By7b3XF!Q
zM8^`cuXEEhJ+A77E?bu}>^R!r#hCw3+Ll5GTFypn>}e%Z`w~;{>zar%9W>;BF?@u#
zVmnp`en^>5tYQ-(=nmxwLmzNl)`k9-b2gcxdH`XKbYT_|MXYkWB<Hf)aE-rRieDCi
z;Y`eSR(Wtzlvl?BUt2yr#epmy<~eibD2wl@2dY=vAS9@d4HZ$G&0DN`V<xyssfo~>
zAam9M-?nSy79sHtjjVO3c~wW4j#Jb0c(#HiIXjlC950J`*JdJ25t#b-U3p*DcrP?`
zP!_Ku>rr@I9-$a)_B`ehZjAl(&vpGjXa_6Hk2~J@mG-QXr~~BpZP0GsJ3V1pYpt-p
zSVgxK>x6%9TQJ?U6RhB6Xf80uAC77Y;u&0fQI(U;i0>po566=|kDWy<<VW8qEtAQ1
zKK5}|C)XQtI#(HKY1P&twJ)MNEChUEyrF4vrqfeQD7BZS;RWsqiq5Sc1vA;6l0g=x
z=i1tqcf0%EIo1_)A5V@n;_@SX=WS+LH`*hzVvIuz49_!28Yv}u{?IQ}*AEK*8qv{e
zarX&FqYu=lX|ZXL%Vk89f~z`%lSLr)v2cBp+|eS#>i~qJr{7J;b=B2YC5}(>F@tM(
zzl%B~a-FbRaA#{E+ehq$Ql{>h0mH-%>vX@(aWPLFMKkFD%9!yo1ehPz+j0vwQg&Ig
z_3DC+O;O5ifoAB%>TkvXu)V*fi{U|{R<89bG^11FTZr7<&TfGIZ_s1B;uh_-Gj0&8
zX)}}k!+*-TUIWcMV(6hE>&fUlU1pkiJM=PiM^U^7Dnw%P%0^G@+xxjGt<STOH2*0^
zNur<F{t#J--v!l9zpjP)-0*wRbuQF>Ub!|4-r^~gS&kfZnQD038WsE{+bkTpKULks
zK{bnXJ<ce#Q9#&9x#!gxq^d+{u0F9TvmUY&W|Xt_qY$KuZJo7xo*IQZ9k0(@Q7h*V
z`QOj{mKM%i)114M(6UP9iY#O_Jv6MrWC~w@+eFZ?LYlvJamxd07MD2(Ow!&+AHBQL
zeR1DF1!S$jG!Tn_2CM8R8*^TWW3GN<5!Wa~3wzq4TZ^w{mLai)a%O}F2%;}RjdTm|
z9oWfu8`o-m?{BmIr>eh68h$@|wu1z9O~w$>BqAwcw9*x}EM+~@aJPXNutj4Z=WXDu
zaB0{!{e|q0f0U)+LfliS8-KW29pRodP%zsfVxq070Fty>7BZC;nZ9F(WaNRn!(_xx
zz|%&5=}QASVj<VXZ0!Oi+Vy420e$}>QG3|?J&;J>G?*}?NVANNZ6?ZzNzJr$h?dL1
zo9>{MQ@-hN#q+IPBc&LJY*)GFxn36k3+vBnaq~|}y7y{fY&p+lt$e9sZQVv*!jR|I
znyD=5+EZoKjF<VKz%S6x523dH9)AT-$k=cC4FD`3sqGH=0`f+-WnU-zT$OSwvSy}{
z{|$X~<a;X54X)AG%FSAR!Y*k2nK}54q!RN9AN25>=EBCp&+iJQIwl=TpK8PBRswwl
z(K3zf$FRoKR|FXc2*q^=9E8gDhTCPZ)prM8@CIHHHccO|mM4t0^~a4ejBbP|OqG@5
z??<p&Rf8fm)#@$d7dQ9*t|O=qJ>@`|@nQKGmB)Ku1g2Tot4cA#ztkm7;(#G9EhzhR
zDpKnezj!tD>~UsCI;7$YD>E^kauvz@7_;;Fzs;%;CWJFj2p@Bg%X_1gN9v!NmM#n%
zRI87-Elf4^Hd%g<FZR~5>W?m_wG|-R2tyGCxz1OT>`UJ2CaO69yQ0_IO0xlHs=<E*
z_I(LxCq{fU$vk->F_^NOx6r`-iF~>y_Kc3W?fO_uc(tbn@7k5T|HpSu+#IRUbq2RX
z^+I7HXKcJwQ}s;D-FJ+i59en*R{N1hFWZ&UE4laFDwn|<hN-OLb@N*i<~6qyl{UDW
zwazt<&9&73&i?_pNOA1~KUc)*w(-Bl8C7movzp>cY~}0qk}Vw4@_6gT4ufoThbdJ5
z@jc*pIYE%8Q1N8SS@9kfCAjZm?I0=W_V7r8eRW%me7d#WAzP?@U^li_1aJKQ8R#6z
zn}hoi4)o;kF8T!B>eKdg<5>;|z)YSd$B+;vuQvm5s}E=6Q}*P2*4Ss^>9ls?!Rf38
z{G~&k3CXCC<{)?{uT?H<=!p$lw-V9IjKurZwFS5)DRudr{&Cr__=O7WY;4f|4U^tm
z#hYDHn6wT<k)z0@RX%+GsZlyBt;GRp2NxHeBRxfUl2V}pt6TM7N^98a^Y4Rw(jI>v
z{SYI0A4CMJs2NaqG;($ZCJs(lqz>)$rE;9j{@a%+?x=_Imyf759~OpDTIrKJjqd1h
z<`-^jtD+P1z{Dj&J*m02Z~UWJEl|M;0@S{?6oQ(f7&3@aDt*ERIutfWJ=bSnoOs>T
z^=-hTk4XB-nBUbpGNGPVH5-T^f<I<Oz78qY2H>!s+JBNkQqCZfMn7K;Oc2|1+2}1a
zKKi<;++&1w|EF3ug#T~g`bLzt)TFx0SC~S_d{VTjXIsVg9-xxfHWa>HJz%ybVQ`%P
zktwI#JJ6KMA#vg-xRr4^!uhR18B<`z3_I#<sMJ(Fi@m5goZc>zk?8^?IN^vr4k&19
zkfk;k9PsOsuHr!dG5i~+n*|9+Sy8m6&f%H%H$l}=WeOh*8HDtECt^K-x0J7(NlvX#
zF2&((k0k1z$7<=Xmoi%fq03@lqtn2f)|zYH|LrSya;8415H&j+nXY#HhBNT&2Npbv
zttcoYeuakxqR*MFa4uOSVMq;LVtMW(hD@!u3%scB(18=oqVU#k#QO-Xw&*M7EbzJ|
z_J$!6>7mM&wu3>v?ArW$9X|YOx8Baje7y8!9(HX9+aILje%Y}Wy1!7)vujSbn&8E0
z$_%C~9r-PY%Z1c-8NJvbk1Xu+Tv|@VDd`<B1g(=@HpuwZ4|ZU7d$(EPmW+O`Ku^Wk
zJ`8%I>_yQR!q%C3r#GhzWYo&<JoqbAjt6%@zV?BYD-sBW2kT1kse4|4a%QMjp{gZ-
z^or!r_EHE^hCIl=9FuXXEi!?xi!mPP1&8;L=VfW#%rHO;gc9?{79K#}BZRi?l{sh?
zc_sXU7l--u|Fo;N+B&Bt0SuFD$^PlIHE1RO4NgBS@Jbjy+c&xai231>h#r5Ek}{=F
z@fT<p`xws&!7n|HOKs^hJf2HYdaNoBrVjNxI6U!ByZPs9CD!M-C)thT{B5sqp7gEQ
zQ^}G)8h2N}&_D7jx@PPuFZJYY$`g%O+YHtsgZ|rhomKHfzLecoUPpjl^cBa_Fz1pF
zTJDx%of{Bs<1HeO`V3nmgh4p@2eLL+P}tfse%V)Ucc=qs#Jb{<P1<dhw<zik+YNZI
ze_m&fm1*0r*Z2{DI<u=EV*}V(%(ncxH+=+mgmqMi+=Hj0U#;eSZi6nj)ncr&6bCY5
z$4a@g(|lHL<IWLVod#&PVHpAL0CNwn_grs3Jl(_U4=SqU$%USuCC9XcpENh^D+x^)
z63<Ii*GGLPQM6Geg<1&#qphO)`#&m<7tjz}m&8S?)O=|8vQ3+%FRM_jGXdlWhFQ4f
zlztj7lpvmE+E+7f%Gd_l)%UVrm07MxCU8s}%L7bm<TP!uiNup>CS++ic=Vz3@K?X9
zt*^>o0o5ev-H4Reu(3V2h(|nGn1QN14N=dszF3Kj`TWG|44Cv-H78HtaPM{}=E(P@
zbqk#Y!HX_b#FLQ%DnD(?C2=jms3O=D#N6B);t&Kr<5N^~>h(*nc2jGl%W3VD$Ne2C
zUM{`|+3hU#I?rm=z80DNu*`mvm}2;$l7|s{*5wLr8Zn<YWyj$H8gMGKD#I%j%;`pc
zNUPjgBl9!w&Y!bNr%#wW+M7ME@f%qWPz(Q*tC6PkX-@K(`hG|PMiQvhA>UJC6IM-&
zC3*!o{TtCv3$*B@)}lkqntD%-r!z~B6!)x0la1`m^)C;U2jqq)Drr^YFT3&u`7XmH
zW{n$GR$DT5_IYNnB;uaEFa{h`bkoMFy0+BivXS-5`K{&bgubf_oH_=;(EH92akvh)
zJ-79u10|x1u4$cOtgWhBw-ZYs@?BGeI^X-gT<8N)RqOkvSS9Coo6XS_NL?2?Aw=+7
zrn-1(H=v5Wa&pi#KUgk%*C5ye8Ftt!Nb^R$MZu}6q3jRLEZhMUB>>-l^}l_U{XO;P
z40(nrCY{Qq3}?b8c?W|r7xUbq$&2|`K5)v(idhX0Wm1wsrR=Ryc9f8BpEc7dZ<f|J
znzrzKNj(sM#A%O|8I~xitr+;W1QEj8qnQ%@Rn_3%)SK`EV@+p^H!<Vj)t}0qrn$ic
zQV^-d9kc*o1+#W>@(}A=Eb#4fy!OU5=71p_hY+Dh>M~^)9%1tA>e^~+6l%Mocq%p{
zyLWCDhU&RLGAtTwX1}Yp&<GtrarTkuu@H>KQo3LJ3HHJjus>Bloc*_mjh2k&Td7Ou
z<spjlOC4q7a>s&Qv1xJ4*av-zt^>VQJ0RY8ljzaXF2+|Md13v{o3nNXz;BM5)Dh<(
z2Q^yOVMp)QLM8FUX?J(+cYQ(JS)(5xulE1&7Xwr+w(_-&q5IXEp|IvU{ZlmaO_cF?
z<x~PYen4ZoPd@D4Ne7ZR-k~3Q@<f)2-~1V-aY=^h1`=69$_&gLbb!w#xbkEs&Qyir
zfxYvKDH{DaH}IiOH%$^eSGc{w<W8N)?MCwEbFH$A4??x@48QoSvTUR!N*oTb0>va9
zuTDly^JdhmV?oAxhj;lh9>Qq0*3SxrQZ9@YQP#1k3f9&Zn$ZgEa>U}fs1puRGdJ~2
zUA31OguXll;Ckr29VIsdP(lnlD0M)-QYc~eN+5wxNjT3WPhQ-C>AV(?wbHKsoK;}I
zZ3k0Po^*U@;pPm?{a4+!NlKM4WqGXyk8&_b3<b5L&&Gt5$|CagU0nYJ5=<m>`2X$m
zD+$bjXG>>jXCBK!I;W1wUO8|JTaaKJa{4?)9-~O?3patEdY9nrz_%clxzAM29i1-t
zJM&u=#!byZ*^q;jiGt)kQI#`d%fk47P6*2HW$Ya6WV?c{Q&RO`yrUDHAacw+1_Gy;
zAM5f`BLJoEZ*q?MZ&0TRjM;+vq3UX7rBw1zQal~KC6b2RUVr0@deJV?xE~&w>$~2H
z1aQGz^FoL{vl2Dhau!?VXif|hD;OGBg8Ca3nEe_@FVH(;y-AZNGGq51hWwt>$?CP!
z+;2!H%lzJx;FdE=i~rj<CuFshxGg>9XfLZbE~!((l9CVzdD9)h-?H;gePgi~(qh{b
z9&%F&{|x7*&FYt@{V%TO$chb=qu=by4u$$Q{h97~elQu>ww7_v)+jZA?P#w~m3P?O
zH!eIizD0AOLtKo&!JS&HH<lk`N_?BkEzegI^~-01cIUS9g>ac>a00cLepHCg4pMvb
z^43*ViGB12qwDQCMpsiBJxbB9H!%4xf$vj&n!Vw-{S$XsrJe^YW{81-7J~uTD3&Uj
z`}uaTVPo~O#D2LskkA+_{}Q8-o9LB=q~F?!xAtg??Kt%%-0QHdw5i<PU*yf$TjN!7
zt$m6f#v?ZvuMXIirY(k1rNtNNQhS#uFU8=Ce96__sf@oc4)U(78Mma9McxRT2<uTD
zHxMxNe+l8O7PSc>1=7H`glw^3d8W^s(3Aci*=b(OSbuEj!bgIX8{(>Z|F^b5j@2;f
zqNnXG>x*+;R^xd3SS59BihHb4g&0?t@{b9)TP`o$2SR7W8kmANr3+Z{C+Za#c5TTR
zPc~n-G#~mY>Cdhcw!z=O-<gE|V3YN2l(t-a^}ElFac+sPf1;q~UG5Y_NBzR;m#p4}
z4O7p@9Y+FKJ|Abt@dM)rERxJJ*%6Iyd@oMG^h<>-s$K|5a(7Q<N5Uu@a4v#*!DGVS
zn5P(i=HOBWD2Exkpu&zm>09~Ubo$=p=|+;FPoH6f*&Bz2tnd-BL?b&ITyXT%mvxm{
z9H2!`EH%<heH^!&c<>OXZRQff2<5Bp&A*zzUT$bH`Ig!dU&Xx5!5Y=pHjXtq+A6hZ
z<E{-6a@<qY>P)80-n;dlN{WyCSsadW^LS9n^iCl`|Fl`iKc|{H)h237+mfvOV1xUH
zqt@p1v~*hrwV`EvW8K$FPPv@)*2Mi|Q{Fx(p)D6LT`;KO3NN`wlLub&@Q)nWGk4M;
zQEtEw3T+Rgo;22SbSakpK`(?9T1$vy?19DFG}0XQ%A2%^59knwF#W)&92==!qN*Vk
zf5UCNh2%7+n|s+^R#M6jIsCPUV%~vX;-;;Y^md0Ie1G~%ByZ3v*3?Biji6XSNjr#F
z0+A1rD*a?LfAap=6~)M>y#j57Yk^gT%)Fdeksdei)<7BhjK%HJ2EKz(`)q_@Pv+;<
zYU^_GX)Cn-j+$DpaLS%zH-D#NVxRTgZB5utk~%%q$S?vJ*y10}B>@3*3G-v}n$`OU
z#~RwYFXZCef3Y!9TR(4}eC4ijBhcD-w^d=}U0x?sGyd(h6LENKF-ZV*%*(Do>4%ST
z<}!%;=nfiTot0XJ4=1hG;)W-B^?iCZ(S0`~FT1a0m;5UFJ#Z_M8EEq{QE}@l$`QbI
z`%NLPPP<(39W^Kk`fc#jhzvPWpLuHVlf3pXXOKDt`F&tSHYz4BGl|HZ`F}K>cUTi!
z7w&0Nq=V9X6%AeKMT!(bP&h}aQbR-&ni^Ul^dcQJfRxw}Jt9H^p((v2h9an#5IR8w
zf<TZG2%J0TyZ7=(9!MUBJ$r^Vd$0Ab_g9&x(5EI1mkx2Nem||pD_v|@!pr**Bd`=u
zD5NI@{dpPCI1lBom~DL^w!O>nw)WbzHW@}|k@Ohkr8~z-37s$Wz7`jNRW)%WIHU9B
z3bWwEu6HxhGQ}*6npKtrdPs-K-J8D{<i^{aYO(sjOoE3Z5B?S;r}^T+l+ezNsGNI&
za#uaUV>^RdBHG;jtbpO9{2?r@oiICkC8^WU+W3~z^q-8LVy80(*ZZYWfVf%(qAR*#
zywPsk{#AurjKncsO6v+xIrfP^2lN7jOx1mVLVlp=vZF;T1cWBzxs|1Fc^m804D{eP
zTv0N^1_FBQY{u$zSL(Tupos1Fit>>h(nVD^CN2X{dDf5uXC|n!2tiieH&IGq2RIQo
zQ(iFN6E%wH93RL7LwN26(cmwqAWM&Ig$2Bc@tPkn%Z5WW-)5~yavT6UM(gxnGYzz?
zzeoENI%tU^NQfEPrp{7F9^72i*w_e^PH*fS0bB}iSQpbWHu7V4D3deT)!(WFs`R$o
z%czacGLwe>Sjh8ye~d5gw(okL$RK&R1NMTV)qQG92}7G@B-L)b{1DLS|KLblEbtPg
z@eYHt5%fpEv(1S1sc{$KFkDz6Wn7Wv(37c&kD4mnbhd3SNYcqSxEwqNfr1ZxZoal>
z3&4;{4wNgjKPNM&f&a2NA^w4pdEDK<sJ7aj*xmNilr4WfFr@_V|8i4rNk_1%(81@+
z{lne`E&fZx)_3z0wN8X*Qs+~*!VDMZ8%~janc=)OGu0fABHv{~ZC~*S<`y3Gx(4!P
zA<Rq7<jU+yQtbEEbitBBP(j{^8nPT}mTas<*$A-k!wh<eRe6AucX~*GQv*I@HfB|g
zM-$81U`MT$pZf8=S0gJ}1?MEy!hbU9vc^0a^E<Jr6Fi%U_q!>wOh)lEy4Z6!cZn5p
z#6FtSvoHJuJt1k2gb}u@lm!?8p?53>Nr+ZgO@iGm81-qVPiu>Xuw1a8YNgV{#{;EQ
zj#{dAMF!wu%RQtzP&Dj6DAq^x#W`3a){N@+l9^bX{hN4?G5rLenwE5+onMQ`{GaXn
z8`TbiX|hcj76Tlg&Qn<Jw-bqGSxr|T=$zGqd!Hi4mhj>Aqt?K^P|xTA996Dd`g_X=
zL$zb^%h8<&^ca6qM}uU`bWEO}TbzBOj{ybP(o=QMAO%&oK1Y3)gck7g+DU-PPK`Mh
zZzb!j&B?}KU1;o*OoFPsN*;MiZ<xGg#64V8ZnrewmTTbny<8>(2_`r}EV01Wp(yB=
zu@c9P<v|B#-VkiOi|UAH$&wI#P_W)lC~Q3V%`U1l+y5=ex$V3?EVIAsPh-&O%3{+Z
z4An+>H^H`T=Av?`iZ|*Xao~9Xea%g?r%Kc1>8b-7aKml9$i##Wo9e`sq7@6fr+XHn
zEgGFND6ZmA(^QYX&<!2R^WuWyfmgf%WPL@%MpJiB$~*oD$#y-s$H-Sr@)=N=^qv9q
zL3;rqNw55TW$&HrCD9)xUYO2#okAYReZ|%>RlTc&Y6mk!x6RKRo#I-h=hEVtEoPw4
zQF~FUsw>JJZnJ%S7N>IKc&nkXpy2it-%fDu?w_q}rwlQ#K<Ba`?j4jM)c&ohXrQl1
zR(f8|%R63PhQl8yJ4fb7hVG}F+`L|Ho7>h83Intc)DJSbWZoKqGMvVRqU$!@5VnWj
zVI`(-LPqAMxg=%3gk2*v+Vm#!xZ+dYdoSc)?lB&;Z;Q+MqgwAJa_E%-ltC@-GbtI;
zA)(Oa9Gnt=vy+(S3)%4c^yj4y(O~ir<+X^7=WUGBUQ#>Bf+B;sC?+SA@wYWCSYjBz
z=Gd~9AGMtC)W&jj&WL=UgIRTG<C=A4cBo7AmFd}79(J$>@y42xfjw1#Xrx=>+(Qe>
z-OPbG>5R9`mjdbtzrN5(iVVzBMaRCI3%F7dzEPacbZ%#fnv%&?g;Z5iv7Fy+;lPQB
zc>2%)!TE9Z>GtnWKaYM6v*q9h`7Q9m{_vxONU^GnK)4BYfmCd%DaZdW%SVhn{i1ys
z|Jy$c^CRubqDzxAX{nko0tg^=_(wji10+yRuOt#y?4PxrV({lQ=ui+7z1nl8K!cmX
zBNdXE(;@+_s4n0$5{S7N&=9~Z3x87-Muj+?^{QQgctSg;2z;3_c6%~^8`=gMTF-xY
zec!{<O(w_pk6^)AFh;v(*J@smtS;{B>#7qkAvEh^Tq@G{x<_##&n^+eEO~e3P8+mk
zI(7YL2enPDe2FD>?_kiX9G)z6F3F!$_}XGY8tTB+-($TU@5i)x&p<_mPd~;VTfwqh
z4sjyS?{z?}TKGS2Xlpj(%;X2f-6`zIH2aphOmB=wp#W0;cD_VKr;CXE8^ycJpz0nJ
zh*V;R(2R?ZTtXapPSYnK7aT($WQNr%NE@6gGWRb%vSe&WQSK`pSo6}Hw2$53VW9qW
zi4?AlqYBGhA%EU0e?YOiSPm(NWXkmRhxcJi!OvO?{}6WsC6X#xQzM@~{^=4^Y+;2|
z{7{I;^U{Ye@;D|P=VY4v=%?vl`8c9^UnlA)x@$O~k$NUAElf|=AEM@c=d?~Lec)AM
z>Gv)&uz6=@MikoIFe*V!c(q8U)#C0e9X|>*Uw)%WIj6Ur+X&5<FA*&a5dW<fT*FHb
zi|BmZ$*WDi-9o}mgG^O|${PRSwRrW3q{nO&8_W64{8PZS)i&SKw@xY$Pg(V+tzNhb
z?9^mxgzqV+Dm;JRw!puJryBMw=jG)A7!YhAbn9VI)Ryw%#m^owf>$1IZ@JHJZxZ6=
zRX6vLJ5OiIlrax-g9jj~)F?K^kh*}NzX5wbOYPjD?sHH}LbH;nfQOVXV6Ji7PsZT2
zNwv@y`hiG%oE|sC)6S3ws(>vjKbu-p8gitR#sH7{9=z$lt&sOJBs^zrS$1UqLYjIq
z+mC@<FE6$L{R%95c((CnL$F|{+G;0;fHMY)F4z)M;CKns%V;{VFSR_}N#p%ly_pq;
z0&b3-@3L;hJ3#X%`jlBked;NL^GT<Rf6r8rEtbj{G}Vk~5H?ST6?yi@wfR0z$Mpf7
zu{;gIhM*H+xlWrp7P13K%M)BOU%w~>0%^JByjyRoN%%1tU+kj2hf`s(<&YMa{OcXT
zGB~Ly!}{x;nAL}Siw1#EPQR2Z6tl4v%fo0M_PPwvVZr-q(e5q~<7clL?r*Wys|JlO
z<7&745<Qq*w#H=nl5L&VCf4&y8gHlA+Z3oClZ1vBWi|Iem2IF*=^Zfh@<&ILmgdfX
ze4YL*ZUy)TkOjwidzG%FKPIWiCYXkZ&vfh@7;}BYrK14#JN51yO~xs3QRBWJWMp4n
zx&!&7Ej{WQ7Aqk9$)8g!wZ%;H{o|$-vm`jbB(N+98MqMm__3B1?|0FXPf=m7^Zmd)
z8iplW7l-_?Wd^=;!ij^b3NoqnqiD19A#)f4Ayh=~v3-y#Moj-Z(0>|g#@1`qKwOLR
z_Q{3*aIu55(Ty`<oQ@Q9(Hutfg8vk#D|{=JrKrT~?eQ~^=a+UB%F6aPnTiYxZUqb_
zTb3A2TzuK-;rKAC%Z$p*f3K_pLKUw6%Q9cKGjJ2{t$yOL><U=IhIAbvnL$$GKhib-
zek5nlBPI&U#&E!#X`a=bQjJmL^d>Jul}^wL!cNgGNEb-i(m$fu=f;32kvEOEg+Fys
zhCteL=?$cb{Z--LcVh2PD*Mt9b*LcZZ&}SH-hGiFIjL*9!1cRd2D6#^?xzXmQ=9!f
z_QomxwJTV$@iDrsw1J)j+w);GJoZaDtrAgj<LCl)L%6(jfvirBW7t8U@*vWuy>+Fl
zWG9_Y?-ELRC=)#J!5hi-#@MtrtI_+XCrPFxa0S|74oL=Ue(&|EENbdakT{T;hNgAM
z4-L0^bszzVwXLKW)Y*R!AYqCF|9ZLR$;x8t|7mfz{-zf5Vu$>@=%@c>VX|tC9fcUu
zzf)vh12??vcnZ|R0BXt?6vkuXT{oD8ozqs5+SZ5-{!lfWx5h%;RYv+>p>bcxxExxi
zlZ!@eIY^F)zJ%q(Kj^I8WLD148Ilp|`%=qkh1lZHTm}N$py**W+oit1nLSf0uu)H$
z4NJ=PB!%ktjodg^6-br{d0XSTB;l>4_`2dQP(yjq64Ze3suQgZq5*-(-qd?hJ$d2)
zy+wW~<>5g&PMIcpf?wQ}exv*@joVn}n<+aFSo@Xo0e6xN{X*>dXp_NM>T0TL(YvTb
zs5CKUjHF%M*H>YdG1CGqL5+#U!O{yoiuNecM-+f>_G`G{xqcw9@*)1qBHcLr(~(>x
zP$QIm<^j4y1o^F_VfN~^@M-LCLPDB7J??$T3CY^vmVYYNA3jNg=gq2bb}BIm=UH==
z34pok_v}3r+c6bw0>~h-L-*ab)TjLZH4DQPb1WX=Epj}z6hJYM&8`WINX`*(uksnm
z^rtMJveSkhD;Z1gv8HMj>r#|auyA^_1^L+1!p7#_@O$`X@J)vvcJ4cMDoY`wf6YXH
zUP<{1nFCu?8}V0y_Oe=N{Ar$Eo>OB-dT6oyy6>A$QAOqMeOYktAi4YT;F7Lykiug-
zeHmz=F>5xc&pWzowoD$RRj0|J*_0B#wJoLP$QIQTxUShsGbN_@wm8xClRC95x|7Xy
zym+JV8z?KFS)k3h8C)kc#*hajMQy>tJTXrSPMFU+2VS&HTS^FGDl?tiZw4;6MV^q^
zNz%OVM09EJbpy~u8f&t&Xs2n_QI+J9M8;r>P2y+g`p6~~-t;pTBSjJ2;V;~yO<M5t
zPlB$8oke}<5+<1$vw-KIWmb5)7a5Aq5J2&~cHdipem{)WRhatB59(#R_kF^cO{MN^
zcQBu=GT&XfcWefeJVCGL-uZui|Iy&Lj%<i|_?A^*VZfjzgg|+vP@b>Gw_KFBi*VgS
z>_-`OzJEpWOim|i+H-?gE|*=Mn7P}BR}L-N3k_{ar|MEWV5M3!<=Z>5t|fHQVxuj0
zMRUw@&7CO8U!LG15NJ7*6j6l)g49Yh{I0zXbdDNfxi=_04KhcSZgkUOnge~3zm~s-
zy3O-rnW<R*F_wF;oN7`^bewI&UVMEAMYRe!=P?Yx--I&>T?&JIle2!J&dvmb=PlX-
z6vPZsvbl9-xi|BzjGuS>Vy}-T<(i{pdO_{57~ww03gH^~ouz-GkXegg%dmZ*i8$UW
zqMgpC`7GIwSy_~EliV7}9_cwMXV9;5o>%Bp=b4eH58i?#OGWMC6R}%g{CG-tbXyD5
zRAVl7dZ@pJ?H+TD%_Gn)vfKNEp2339L1tyjF#cUoFbqn&&MnFev(1~X$X3}dt1dc4
zAN6}0M4lrs!e{)g57SUr7!jH?$-$;{pZ03|VE>~|>1ea;)KC92-X-LrMx)Qm0b!-v
zZ3ply#oj41QghfC)M@|LOuaq%%mw&EUHv76rJDFt{COJ}7)G4q?>^StyCi0a`s**9
zUX{&4eE-Q!fzf9c-TmUd+nvJ~a)oQhxR!HFabh|hx;FtA-R!3Bee|~37E<K+sxPwx
zr+%{yJCj81<q=GD2-It+Qo92$<zuCAOe|Wrs#HDJI+)4ug9`D&@%n!ui{rQDsh$V<
z5>w|GF-PFBU{VwB^4F)5?z-8n<qLw(jTe<0^qJZHn`%aAchN*g>3Mx!HQ!tj*9Jq8
zbq$05T@hQrgQV2JuL$=NyjgxHJ@+^_n8h|Kt=_xZ>QhqLlsB@bK?NY_W`J-bd8NY_
z5ggcOCm!}{1};5<ZDF*TX9X&m2mw#{m!@D6AX#$<e4b<VIfXx^ol^)0W-tWW&>Soi
z?BXz#_V8tPhW1T85kBZ$nkW#e4nl5SA?ShW@?o)>_v(f#8nOSF#KbhBAE)<Eznz|v
z97#1tCMjo!EGsR`)A<lX#^x<p+CeNr{C*l;mwg~S{PDD~uKK4#`<qW%D-tpevp0*N
z+MgQw`SWAAL#{2x-cvhF@U1y>=>Y+6ld2ATw&lQ;W}4z-P<`!d_|#Ts`Lz>~ZGQ1h
zklkfvF*F8#*rOIDW?yI}a-hrwl)dF!Gsy9LhSwcsAn&mVQR;EU@u()`V9tPyMEPXo
z>UoDBKT8OoOH1C9mp&Jy9v0Ur?p%wb`$H&i3l7oDiUf>UqTeGH$!x$jcQ>FoAgVA{
z-PCLa^8CUpx0_)$yN+h4WwkT&?(8z}+{Z{9LFMfI!oyWz_RMP%wvvi*-pqy)Xi=ii
zZ-D=H2OCiO<4dEbRBMiPzR+Un&4Vb3rfnPbp@E*Q%Pzbbmn+H<57UEZzly7!_{ny@
zu0NRD#D$Qg<xsg;notT+H^#~|%%Y;IYP^xd6VG%um<w!d?T`pH`3&o6iH%J!0*HQP
zhmD)bn{(1_x)D(6;L0s^LCM8_2yM>^{c}#5Pe0?f^XB+M@9Z2@cnYxH?xbPn<bD#1
z94Goq6Ultx7`zFkJ#!-`y^NBV?)}c-%KKJtZ);k^^|k`Qdz@hr1LQ2Xgs#aMM`g!|
z+-Z$6rTK|H#wl1SM>4`TP+>BI6HdFeI<3hOl0v!<vg*tlwA(7b@<Qcd2Cqg9`wns{
zxe~wf_lx>r*MFJ3%3o}?^4G)}Y-%2KD)YcY7+n#xx++DDC_$iMIND8Ind$eGht!+a
zZ($FJjax@_FCZk3D4EHuh0k~oO2=1I5pDy?R1-mw-uW^qLj-F19pLOeTjs=R9c+E#
zXf%XiR{S1ZQt5m#LHIM==_!;f;HWZe=W?hPzpqDx>hvqs?I@Y9)L;r45n`~kI0_7_
zkBE!8-*@w~W#GfJ{tg9NF$*!H$3<L<1Enx<Y!LN%Fyjzdqh!UNUq&^`xqS~v`-M~j
z5`%d*`TY$gy9p}p!pFXxh;v+W5{_@rt*UycvG3jJJ^z`%O@(6TD)#Y1oog@BRn*RR
zr-JjGh&3Uop>Zl^VwBD|C=es%{eDhKs_?nNJ!NdEx&hzLIw9fx1#W9+>bGJ6JLc!G
zF6cGP5h7}UbmL`ShEC&QDg6d+SOXG-f%WneV6`dR6@#pq!aaBAQ7;Qfc6HOztW$2(
zKHl9`#fIF@=LCUb8Sk|-lY7FP#y`XJ_Q07qwZom=;{>9HN1D=fY(mVLE-l&YLLKqz
z+6B=^eFthDU=>9If7#{+J?w47O&b*`7uY-ANMVA-L%V?d$6$=-UzSN&*x5%@cLzZa
zyfg7B5<adH_TMqy7k>99dVV3p({h&u92m_!%6WRnk64x4_yy;!UQB7fIVV81zS`>H
z(PEL7`?)*EnUR#jZ7QYK{4E}4`aF6^vpk5V#*A?7{C#!QiPJnl+Uig4WoZ{Mz24(>
zvcJ7>sCc|J(OQ<;;j;YxLz&A56a|DO-6JNrP7nK2qP4Q)6e7x3IkWj3*6;9K6XbCv
z2|U|)Nl{_l=^^KUus^B|2PiF&AM1xQA)o`D85{N7M<$M%Wm7qCVVMQ}dI^@)81>W_
zrus!<C{Yfnv?bo90EK6tEc4pJh_|^YuMbZogVD$Ll7Gfe(I!QM6s(zn{IIe;vzu%c
znu(MTZ~P8PzDFU`V)gh=uZ0eEw<`ThZCIITUYjr&S|l)-0U}#37hKO?B=87Vh{p$h
z5>TK42+Op1$!C_(+zV6V9IaRDXBvz*`%NLL`}o`|Te%R8n3`R!V_UjX5C3JT-NV|H
z=_guriX9V5gponp12`y;f*FS~hMcLog<}o7Hw??7sh=aB=Kh=doDk~T*fwcI3zINN
zIMTOB?Vr1C(N#l)VSCst#(3j}*2RaiDm5vN1svPVA!atbr!(eSqa`?%Y8yNT>RTwn
z)+r@QqHpA|r(;#<+O6$P@qtgizbw}6LO3n<j4{MKAxygW2kj5~Stf}?64S99W#ytL
z<BH?S@XxvE>xYL=hVXJ9{B?U%S2ghNHjLBqH~(I)6#wGk(${z*%K2Ai9MQt_uCJy5
zS=p!BuUOicP3-XbUr$5)EVKo>B?NJWwMeb$#!YI|gOWRwsS9#_)KtMWvn18ot7y$&
zO7tE(5i&JgWjXSrPV}|Kz){J|n}d)#gou^!1elcmh8|X?XyD;E(o9A?ygPOiR9OZ9
z?y!9d;ot+*l7LBf$c<t~vd$W0kyny1DqN|OoOId2-(C@|cZV(lbgj765}oU$oE32P
z@c{vm04o6RQB1kHkVrY`CS4>N=DsEzW^4bHhP`WJFMK!Wy5s>E^j0GwDeFbwAKf#U
zG7MIi7!0fGC<`kOoDWdQ;0DoP^T5+m`K13-OX+#<6`4%sSBn8z?yn+I3oPrL_bj-G
zkKqy~gK?K@J}b5vo~X3=xOFq4mxPXx>*|Ke{ABk_ljc0eMDcU$<mc*TAWjbI?p$52
zk`-U*lhD&ne^2zO^&<4lKYrg++2z}nZ!EBMrxb7Y&^;BdbcWCA<kaS$f2h9q8}aB?
z{Av*88To15#LAXv4%?KHLzEv`Qh~nycF(7w^0{{Ppn9K_C{)q7_?kltv@SNR*7nC9
zInWG23ol5mDpk!ae%v^O+w2k_Dkz_)R&%~6F}JAIR8rCXb7C2ElGcxHahtI7y5f+{
z(4)@XP_uJLiObtoB8#DDQPNazODghvr)oLwM^0%=s4<QYrzK1WKgTPA5t)E%xgp!x
zfwNaKKu>+@Q5<k2r=bPa_GCDo5B-|*cF^8fauR<1<sc|k+2a(YL|(~B^ZA`Q(MQ|o
z6?4zsx(`FO3!-j+Dpsls<X13O*vvuaXv>R(2j;e_2l;p{DC+_E0?&A{?wBF?7I`7T
zN!lf*RV;j)5c<GIB8R?2{m0TNRh{hAB5{@HxvXs_u6ua>XLD6@K|txNW-khC&paW<
z1GgWHd4-Qrkt;|vH}C{+OW`^T3=iaQ{vHS_sNFu2CrCH*by9S4I?WmLK^s{vP6&A(
zVf~WbwAg=HhGkmwUu1~IOt1~dEBZ0y2Pxr94(c;G_uDd$i7pC*@hqFPB2(O-;EY@-
zgyuC)QZCMQxUjJ=`o1;(-l*rR%_O#T#vO7|n3vfWOJdB+9C^)G9p`#~iO4?T(o&;R
zT9*6#dylgqU|iI4!A4H*Pb>@MAjPNW?y4f*z)&7k&yFZCBt+0AJ<WGMkNahtWG>R}
zXl3%>$~>&5DpQ?ml@H6-OM`@(676|TxJFQ>ker(Gz0Z8Zrb61_y5x%Bi>-IOdE|bq
zGwSc_K2&8@od`)I%R_e%L}kKN!4!}*YZw7^!urd1>l)y9kriHTtB%E!`f+?k#U-aZ
zv}YQSQmG7Mknv=HRaFWx_Zqs9C^1tDLCO8tZVT0TIz*x$4At<__`Z|^Wj5MLc@I$O
zR*^hzB<0R<NKvomAhL8>+RQo(A!y#)m&XTge2a0j0Nq+nSE!h;uw#G*d0tEoxU!X0
zVU*paPpckib#{-3yD@8$U0h;f3emr%WlE1OA>}rE3PGPGJu?-}vjSE92YA{YMmw^7
zR42^P)jy_|8U`)2lMj8e^1TTyX2xLV<6h+fMj}qYrZ(#ui7UXZ@!Re>$2y70E;G)q
zxq)5Fpq13Y7|WjZbC3ghMB9U1d3--YMi<DUOALdgm7H%SdZ$);`4Y!iK}%35R-CWF
zvzWR-Tr&kdE{5!}Ds29DqMcgYmpsKRYXf`LC|Qx@`a-Jm>$i;P`9$l}Q(7JuH$Dz2
z$(=VXUF;3<L*zBIMD_&Yr7y&5+$m2ccqZ%f?w#LAy2-IP)E&j)$;tc7IN_0U+Nl#a
zNnu?b5kWQe-~iQ5!h6k16hDVRjBij6gO)JAIMP-QAG?uN4#I*4Q10t=KMwm$Z)NQ#
zuN58_hzavbi@a|u2<*wYP)uxqjBPF+q8oR5^cqVcUw=>)iY?-<x&zMGu}qc1e8v(W
zbQwDqW$VLey%!O0s8!(y)&&~>1gziL86M&EGPl9mSCO?6DKd{-D^Q;e)z##t<mr~!
zL;d(jbp=vGJFpW&t6n6YQqYq*)*(!D-*A%XQ|SEVQ2{!Tls!&8=|)1)7|6!6A+erO
zCyoMIE={>mJNrU{o*C>w`AL`<{y2H2cs(JL7+mPYCN236;uB8#DfUjDbX`L$$_jIg
zy|tDWl_(12E3YaoX{*;MH5`QwX9tA_@J`R#cQ-=oRvS|Pq%n+QeC>;?#g!jJ-NVd+
zHv4n=htl}6sX-P(!gQk?E9`jztL>$#lG2`>{eY9pLqu2h#28+)BY2b;o@V4wATZg-
zl<!XQEqJxD{1^}vxmwJDsE0)inG(}GQ(~J;d5#MY1Sx_=qh7~!qmNiY{h;u^??1m1
za7tz_bR7Ur(~JBOOI%}U;TMiUN9SyLDYOg;7>q|!>zfaZ0vo6xyHX$#;5=ztkTzaM
zmy9c(INKH{YJ99O)2Q;&c=Di5l0!7jR#>AU_D)9ePqb*+^ssSEy2?p0Vkzq!_#IK!
zQ(gITC!wFLf%)Er>3rr%Af`3+CS*EBV@d-ydN<J7lZTmT@;0hkV)|_h6g2>5f8d`o
z<G(VZ`7eu^$#f)ZT4E@Ln!sTRlJN%GVR+xP#>5;VIi8o7U2K3-wZeO#1h}-riVBI!
zS(mHUnAgb>y-d3Dt(+;v?AppDRy9QtX@ZEnTff_l+2a+ma6TPyD_y$|;YGO4{{K$@
zeB?*=3}m-{rJ{~dAD<3>bX0yM_0>Xyi+%D}tpR@Qzbw&|4#%IoWvO_U-Wi{IccD<u
zLi6<ZuQg>d_7X`7FP2|Do=M2|2l8clo|l6KtvA@5y~kuft7zul{AU7+nKqq&kz}LC
z*L7(}y-U%IC`dGPQ>6Fc%uQmxR1cYDEXrLaAv1*TH?RhpVEY6LhqOQ*o^Kw=Y4|u{
zQ*oQzmC|bD2Gv6p-14HRZI^(Tljfe}B9)t|1<Zo3WCfdkD8Zd5JE*ex<a<AkD**38
zFeOdTiT`8!WBA3=K=i@=MQis1&#gHg_Uy<mRi=Yt?ur6cs56!D@lOHAajr0s3AS9P
zlk9oIc;qc#UqrD6t4RbJQEY2IV5h1@`ocA9s;HG;iX~!=zxEsT4k)9#<z&>IKe?dn
z%f3fN-I<W0iRrP!q%VRSA%4Z+NxoB=83y{(H`mz&i(Zd+NOfw992Pd|9jLdRH4Kg(
zTLq(+>D)_#ke2=$?Sjs8pbX@ANBEz)OEt}VPPNsk%0rJ7v-#>d+H~YVa8Y@cLGP@i
zs|z0i@gNU%>q&caiM*@RGH#Dqo*F=mhr%b%L&FXNpa%@0tdea*N2P*SC4!v6F9Voa
zjmKT&9o9sL*D{eeBD{y4=rg8~IsL*8?1hVSHsn<;zlcp{3P<{p9;jX|=B2_AaW7%I
z9gl&cgEyY|WCFp3>!YM-lw%vGoKVrHCf-P6iKTPuiC5*zB|N`+lzmK1nOklle=TBz
z9c)IcE4D~dya|{6Wm_SYA_E3l>zlafkj~@E*qcKZHi_LPm(#M689)a+64CXi<@eB$
zL*iHx(2Z~?5!K}}9G<N~SJBVSfMiAqYQpg&0S<&DGMDu7hhw&z&Tr|H8s)7{7Z47?
z{po25C;TJ;0`5m5$f1m(pX^-Vn`D3cB66MF)%r32tVBW#nJ?R3M(Nj({BYyubl2QB
zot+F?HKJ$-7T$>_(dP_X<{Auc@rG#RyNI#UgeTaxTB51S%Uka~{BGM9f*)8@-VEB5
z6^#myT4wec`}dUWn5&d3(=u1N11>%!@)^Vj$sF;k3ru4qHc)fGty3<_NeCN|v|RW(
z$F*FA_G^G-hq(r4Zp9fn68@HU(tTEheE*~-=?ZUQ9lLh2$sUkcH#fcU!rY1X7bd()
z&x-cf%{$Y9cFqSMl%7<NPO#2@6gua3ogI2Y2+A|EXZS6nzceUIYE!mIi0a;Doi4=B
zjZ8c@5o;T)=j`B0f-!zNS80gaWE%rCmytOObt=$<GJkAS9qTf!6(;jUkJR^SJYz-c
z7<szaYgGJKeSaisJZU(w<#uOG2pNp-Io_;Dq`)%~4*lmYi+W4TIZ50TNioYHEDF4g
zTzF*ExHIW>Cshza;F6$N3=|KuLR6TKn}c;yB|<~O3uy|=Efc`XT1k!6Rv8m#jSxCg
zIXa3UXl%g8s3#zEXHb?MzSvOxpm361LL0>?t@XV^*l6^suhBlTK;t(pR?1BTXILT_
zGJ{bHkJn#BN#sTjU#s@2DC_Q0JaIxC=)9Dc3zT>M2TWtC_j5!(4b`A44BbY~2|)u_
zA2c<ePVD#jUgqhLHNCxsA<iQX&?R!Z`v;N*VNST`hCL9>mnAk?^r(bu=A(IOrs^TF
zurjaJ*#yU}etk@$A146R-Byn`aHX^s$IxYCP2ESsy?u?Zt+wytuR>smBGb@@YBP(t
z&ky{E&!}ZBAP^)Ar)})o=U#cG#Hn6)?HS0-Fx$%YtK|MWTQi&gptU+li01sEOd_}g
zq(AV&c}#evK_CYFRvNPTY;W1B_xF$)44}b*3Ut*#gDW9@u#|`<u>zd-@zssuu-C6Y
zL6aNP0RIKIlWUQs&Q}78&kb%A-W-sBbXuxZg@SF<<C(wd8RNRku{A=PHSF(1@tj7e
z{Jb@3>BQtlx#FDI1Q(Fc9&>8%Z*imlW${Ax+G~J<gRztgMZb#;e-5AYG1NY*TJ&Ao
zxlfLN5fj+X5fmOJsb2Q=Tn<3spp+O`Fsfzqt^|mUP1;`@QK<=P99QGos8Ep>?yHvi
ztu|8B@i2ssux4sv)_A<Vwp6V@TDK2tVc@e%E*_l;Xoib%P<~}6hd+e!d1~p{%d5#c
zIali+sU9b-3&k>}8uXKCgQ$9!KPJ+=qz5Vtu{~SLGH#;~!0&xhl&Kua+AgTJumqBZ
znku~vKDeFrG@bHFK*?c&80f)!x^ZqvKy-K*&_v>!13v$9xHnuWb_Huh*CWLYcGE3h
z#tpY22wP|Vk|yOiF3!MS-+X+ZCp2Tl-?=C>IGNj{uG1?a!y#Cb{MiORXiwR%zdUxF
zd}zSVU;4FB@>;3dL@>nBDr!SX!bOB#z#*TIC{~K9rErqz(Tzt=XIH3{pgpSf-Jzn5
zD~~eW#?25e?oVcRHulEmoz=Xj)sG9K*oh|7>$+j$P#Un4Iw&1Td;0me6>`OLNu8n0
zK&~K{!{*$U_|fPEFiH)X%24`6_mm?9<IDGC>=wLZ=ie$M^)BI4ai(iZx*z72UVFb`
zIK(xFnhXvHeCpLr7wyf^HBTSfO6D89|6)~mN#0D}T>9*5A0IQpCuw!0NIXN!3$7<9
zEUQ?4ewcQY7xDnl#mxBAdhKa@6wj^eTBaaaC&6Mc0FmMH)?9B$<pqCAe>r=QRley4
z&b{=xl1Eb>LnF?9)};x7>l2~Sr=+c5L_3mRz36d}JdXucqH}Szu-8CsX5Q&-nkMQ3
zXn2kirM`Y=9JBKHewv=?x*|=9k(1Hecdhhi_}h&)n6J?^J`CgHLu^_{V_Fa>K0L}o
z9BdrJ*i$Is-r5O?1hbchiR3qI-<w`A(<;wJ(k(of?y4Cq14h}Fsz{ZNV)>Gjn}T@3
zf^}(7OFwYYv%+5CyjmVS*5T^C9AecW1WtJ<Q&v_SjP9`PmgF-b81!OTA39127#n;E
z$7@|}14We_cZ$q4Xa~iRt|_E~MCOF@<HpI$>K1eCpFs;2<VI9<sV!Z{PW+lKfm4Fr
z?MEq@YAJpN+oKM-4V3+0UA@pQ(YxtIH_(O)f$+<eq=u}UxVx?P&iTst(dP-NEZwui
z*BlCM_*FhE_q7!9{j;l0?U{VKgO`^~L{+M;mM@5tu09M`<5eiQ$eM`tJ1$ukwGN!a
z>ip)Nf3$IA>AbJXpzhGNNH*27;tdKqroXc)T|lZzO_dBV7tMHrSth8cbLxl0_^Xc{
z2#J0j_38jslc!43CQfi0+{b3|ujsU=QJ#BoQF^AX%p6o~?Z!UUN-O_Il1lauLb&4O
zh|nXIG=uML?#kz7^eC29IFc(q4-K=_be80}`!CBtCgqLn<5(r(o(E=XWFzHkDl#qM
z<q`WwYNilK;gIz-{wVe-qq+6#eHB_J?tT5Nwn%uzJ`;W_*wLobzC~qs*K|4f1P_g*
z#Oxh+0h<abM-!jAOB7$H{-;(_LxdoKNjY_^5VFy=$_wB=_VN^Q2`l9bXM#ao6=MFT
z=h}nz=E;=>dya4#n`~-T!z9<06wfct0lR0y&_c6TYjQ_0Vt59pLcU>s@uYdX_BcFa
zjCD7EV^DG8Y%1@)op!In)zJA^*y3vOeC2f9L$0coBwEdUNhC;iV~eQBAKJxiRYgTs
zsBy{nJ)gYtnBBkioJBBJjG}Fs`QvERXnW;SxlgdX3R?M|b2iYZJ3yvhy&=`bHm^T9
zEHc)!a{!0>m+M&_G%W=xy2?E>;B)z+j=0#!xbu%n#m{3vj;SQkKlhfG7rmrNut$?a
zg<Di{-ea_r4Bm6ClT!8!<p~1$KvAnRpbpjdFf*;d|Bzq|ono`f<|j%7i$96#xo39~
zuachw4fvQD0<BgOgJvp7D61?+ethrxXf3aii|ZsI7YVSn^(a5zkpGIr&78Y7e72-q
zK}GS7XFMyB>StoX5oRH*XlKyf;C;6{*U2F$(VgNX%_gY*AplaeQXZ*!B*{iLM0hE?
ztE63oQZYpSVrw6SXO!Q@Zc*a$j{kj#7a_e<9Kh@W${6^W<}LX#KxgW25OAu__0@G=
zE@d~lp7G=bLsG3~AExYtL#Q(}t>+fZ%hUMbb2;GQ`6pwA7}O##)~CO+GlEr7jT1zs
zQZXF>^K#?!?IFOcKbaYx$#p_rryoJLN%4-C+r{z*@A0Y)5vqB7JzYGEFKoO(<nU{a
zMkjsYIlNLtTW7S~AW;H!s=zV0yXphA+Ar>l)qKyOQRiw>)Ss&#$>SjX>6R%ooy1QW
zI&>4<ApiR5<0i$=uaKfzp0PsT@<ZVv-P$91G!6E*KM2cTPid9p_s?`GwbK(iRs4c;
zc6z<l!)g=lUe?*Y_m`<`G#q#;HOE-ebNK%4EYG)LnWWp<xHO?qb92}(uq({gvGcAf
z*vkCzsx);%+*P}$Nl6go?weNl2!7;rtT86EcKt;pM)M{9K`R!9XiX$&Ds~1enCk2k
z07PW3<2G_&cYiR>_906Q`;Q~@M89`00L;7DWkI^~kezRCGvj`ihhAf@tcp6(P4z?C
z*mZM%gp2)p!(e-(mKA^4$+RtNSG9t&zQG$~U%U6zN7!u5NtxlMkI9L|29@1heTpSv
zX6+8QjW)?Q--AoFeo!-9y|OidWC>{|J?JJ}Af@$Q(UxZSjz?B*zJFUMs#BVZFA&FO
z%;|@osp;fiU$m6)wqb+37@xVbzd@JwOpw=|v0UC+S{P1~*KTDb&g8arc>)^nozKhG
zDZJ}Hj^v$xUs9{J6UI^Dy!2pB@S%$rpOZR5&g;lpJ+4d7-S*D7fP^s3QdGe6xM-Xy
zx;Oy@nSVHPlsFc_KOhoik98Am1Wi5k@$iQMbdRwTd4zl?3ND0RowHXY7o^z}Ub;a5
z2rp~u{kObKoj&0Q2d8+g1?;>|Yw$8y>AHhZ5mQSgcSU##!*cODQM+Nmgqq8u{GDYY
zq`)qAXF9j*o()*vSzEyu6Oo?)Qg_;KHp2m*Dl@&t7O%=vY>x_M1NFwJnW~46yDF02
z%P4*Fx^VgjDmKt3SGm(iFSa1)`W*DF_;QI_->ZAK%rFLrTTZ5@%{zGz!M#Y1?Jepr
zKN#H;JaOAEnv)@*+$I(vmR)hQkm@O-o>O3Ow0m+AYe{B!z^T`08uLf}0k=bQJI$`i
zwr`9mZ2M5Xq^%Im=%fi+wPmja($=&L?m$H;$}Uf1AS$sK-k(QAgLTdrKKOmfC}u&Y
z-)$7!tbld^1e(n6W0E6(u51_Pdv|t`ncVk#<T-40TVnbo^X1GGZt5y$OGdlp_jYjT
zfd@HHAHFy-{E2SjD(O=2C3$90aa&E!<q}r`R)&9XvS^_c8mEYxes|zsK&BPV*f)9O
z1~Lby?{Cz6Gv!haUJ~lx`zFoKQwwIB%bO!!dm&@C@YpQ5);nxzS2$sN{jTeTC%<A&
z4+7LV?8!>`lN?rNQWY1&I6`QO1ASi)i-{I<)oe}9%^h4({C1$sm5k{!M&00VpllaJ
zRg_k;=#MB9d*XHiI7{U|9;v#sQKc1Ia5BB`{i{Q7PV=cam8HaQrk16*Ezo{JS-Y#}
zPmpxjBQUWjk+KFYa~69b`rg&k!j?j<2pOQ0ITKMs<lqD|)h1*AQo$hr7kaG~)w>65
zj61<}3UWTqhI=IAvQ=<<u%z<Z-!hIQqnd<}r+5v1q5Isg{UBQ?t3=XkUTHu;hrc5#
zEEN^sGSOH-m;I?F6y@zOQ-~MVlu7k%=^e5~uKnF$d&Y}Tv>2!V=K55nhm=<@Q&_U;
z1hdtvXBpBlFNZHy@&0LTIQ$&T`Zg>_jUAt;N?Ag9Cidhz8~3tX8R(Zn(W(cn*D8da
zqsJ?Se{8(l0Q?wnG=XUYqee24xUmq>(4|>iVviB#ykC8}2j4F_|D<3|M1+imbpd`<
zsB#e|D480xe*t|n=Ts?Ck$&bY&~cW1^%jYzj-%`9R1b0Mk=KHg!hmCrzo`*?_@pj~
z2gOA_E{z92zy|foSy%uGj)R1g3^{w^#=k5Q83!kG47tLAf`Jd*C$~|<HrU!VS0(!8
z2_uZ)b4|i+d-48l7W3fpvlPn!r3=9n!>daYe-p*(`_HXSh0TfxO<BN$+UB_=`eL+g
z=tpg;2{BFm>L;!|49lE{SNtD`d7D*DjdCB@_7s}(w2p*KuOGt_UB|;@{qp+y*O*ZA
zC(^Jdr1}8|VL3D1ywnzk&2ScE1Cs<bY}BuQhw#aQO7cW#t!HY$3OcjMNG$&LONt~@
zKVZ&MP6EBk;B~lriL|U{a&Waw=JE;QF!Qg#c&TFyT*5wZ%6_O}cKM|x$L#J&dbsYq
zPx`LR2^^y^h~!0L_Xl#VNNX{9S$c_n$gRW}U_NxIh)$rUEXX+rOiR%^moT+ip0OGw
z2gAk15x1^<5hjT#W{c0U%Z^9{c4(9{cpsKH*7OzmD0%Sp?&fY>IDg9cw7{44Ll*{C
znrCDtZM)%`QoP)Dd(iBId7dv_#jSc-m-O*f*8r<;SkwJ?=dU^&2bIPvK-W=jf+LOF
zXfUyhHSsEu6JSI0-VhZHSLZGc5b4Xq<B)_VqpyJ+vYTCSifj%~&z)E{E^D`bPs&eG
z{wh-iZqpz{+{4U((xD9Xqfsl*C|*&Wom#thl;>~>t%x1G*wLiUi#48?^~G}b*DS2K
zhWfLg9{hEhaZcj$(Oo~k@#8+(z-Z~ME|tt1zf@O+K}&{KOD~bspVkWi+q*b`dyYqi
zNeJu8#SoWq3><K;jsZTFOu3??MrV-WN$gPD!n|;{Vs9VyrFdEe-j8->R{;_Ot4<rO
zVemu<f6NcCUc5!}S_`U>^#Lfh*)41%q0ntY2j*@!62iRtu(i!GQC%rb4#c_}3~&c2
zQl(9&xk8#k9z4CUJgPPI61+AXMkcj<j%;<i@35qJ)TLRH*M|JOtn=HUBATWS;UjjI
zZfq$;;iWk{-dKp@)P5GJ<u+pdipS<HV{PfH;bkAYzUz5gh-(GNajDwbC|7GV9&vjb
zOJSBfTFh<|5a@M-RS|0BeeVZ66g?z;tFz4cT0-Uwpo7<FeC1E^$*VK541W>gB+#(0
zCs+S&d5nO3C+LTj-+<~DR$x!8&_n<Bv#9+Ct7l>V|G@hH3#%7W)K#$3xp6rFfYm=Q
zY8?L`t)A^aT0Iq580|CUza1IJnlp@I11(%@Pn0ZE#|qYv>Ln+&z^7xh#5rp0A7l_i
z-o6WeQcEThHVJ)1VS0k)wlGr;fplk>0YZ?iuJ0JU<vXBCsyz1cNPa8s#D3Re^tNlF
z13Fn=9f%CV@;&=#`EMt#>c_53?c)y=W`RY)#($TQ0#MFjxY<qv;B`_O*0Q7qd_xM#
z#f)VZQ@p*6X2t$84H#s~blkfqZSE}#u-WSjrYNxYU2>LyUn}s%1fx8GV;rLZY!VCx
zuqFR@ROB)RcJ$xa_y6}J4EHY!VVxn5Ea@Tk$cL+Mh3xJ{p*%VIk-bQ5`MoaS1pZ}N
z>I$cu0ex=3=+%d)TTxr~6arK7Q$l6EH&h?Us_`&CA_0+1@Bd)-mH(aV0i1%&0LDw%
zUZ=^@y`jKKV8P|1u*z_tn73u(2z3AG43Q|%{h%ODSGc{O^nc^f#KRb)m&XpGh?@U*
zY%M23z`MA)L*Ul|o>2xRoWjgJxy-_Th@xD8waoAQI*PTJqnbMx0bc0@W?9b8$^HMX
z4$$#+i($Dh{~bpLTCC(O-w}XKKwmI==Odbs)n&N?5Xc#VyU3D%St5_i!4s53SL12i
z#9UrWW^Tc91>{s-0cSrlWXj8X2REh;H`~BjNMy_<17p%`IYa?v9317&Hp-w5Ndw#%
z^U!MmpQ&=yoDBIh3yc#m`)UEw3ME6@>RsylRvRz<d-5r;%{~H?930QgW6ndDzp{|9
zz>Ni{5as-|Z-5rnXywd&zcpaq7-n6U=A$MiW|j=b4*aM{!cu9;T*=WBI;X({%?t}U
zS1QVr3rPqDt_9$gc6O=!uIw@uC<|03vZoiSjGy=~pM0QOmJsQ~4e1c$)5v}#Ff)oP
z{|)6&tQ;q=tkD^S8F~zK68^Bu?YP3;!1BtWkVkB+`N?|#1rLZr57c~OhQpEg|970x
zt=_@$=6mHD9}fH&ms(D0)U!wGFFLm`e8P-McXVjvT0POEUyRkN!Fj8mTst8i@1N|4
zVl4y2Ty)bC#mt}$Wiex^dTVR)fFq|4=$2!D@$a>LD>&uP2dN7i9dJY1Eu8D5&TrYI
zc;(?rEgA)9K*Pm%`L9{=K-7;c*X36e0e1)cv`uOz_O4AAz(w#__S%$HGuDvY)8$!x
zLhIfY{(XO^gserYCd>g{(v5<NX1t7mjlAjbL7f$>wL>a5AsXuIkblC)*SOtSVwBWS
zefnziG3vNE6$(<UzN(>;>m-M~NdW_kHv`Xs-}ko5JEi6MqPt5T{q@!;<sq6^w+v@n
zH?2xh?}*m}Yb~d?IWLA5&>MNV(d>X<3#_47(dmTf5G)*b?b%R^GEFs2K**_k*n3yI
zM`DW$&c!ZIxu?0Y(48qA`tz>cpfJm*-I3CG+5TY{7n+5<>Q9N<m~nqlyde~kFP`t}
z&#eaUe7;D!*AMcAVqDYN#&RH*w-i3A=%?n~j0)T54R)LxB_^+=wdpPzZ{wkhJ|z&o
z#+BVz<ifPkEok`?k*mNVXkj54@|_GQ6`DP#c9y`UNn@ankJo2G;};u=#lw&3q3N?f
zX_Vu-pBwK9x0Q2GN48a}c=gz*J}D~6(i%%a;;bnBeF4)ys7-Ufo?Z~!?k=}s-}|a8
z$#!$KZ{WD48vozuE06NNwX8XUI=tH*raK@hamGD3x80}Iy>oRY!ssUgb8@`i?obSm
zVDtMF7aeT%ba}PwrCbDd(X<pgDmBB5p+@<ZMV|wIMBXZ;VThI);0~t}i2;LNt$d3~
zuD-7jEy`#s(U`Z}&It=O%8CxG(nC7yr+$1GFXt&+_QXU~LJ#_aJ2J`9iUM=>cdAz|
ze0Xu%)GXC%AT>a-++Xx}Pu})l<*IsH7ZruFBr=N))(1TciS9FP-S9Ap{_>eF_QcCD
zoc|EqJ6zJ|Z?#qEKDh0Y^q(gbs|L|`Ce3cgx<?I)|IB);dN&n+aa>cx<pOf|CsEFd
zOqcgnLTjWlb|^#uuGv)lz8we*Rgo7XM&Yw!o?5nKDpXVX#yIM~kOjjLyMv2;N@*w2
zPjaC4g7xZ}#@c3r!GHn=vu;xRZJ?;P9Q8#-S|Oj8o{*LA1Vb6ZYKrtTXJvW+NuWS+
z`{GUl?@8gTVY-|W{%S)?Ao{h6;#VK#F5!mit?m)GhS)}0wC2V-Kv+cuG6({x9!nem
zb&UO%Y5=2Hy!1par#Ru9e-G@+iou?ngT>r`2#3%Ge!oxkZ_rOqW#biz@CoZKFa}q)
zA1_zxE2pC<e61gT4o6@BUsc9jtecaOk<8B)*8(#^=%GoB_}dn(dPScChI(M_eLcAY
zZNi?Cg#jhls7c#he{l8zQ?BRx<7TNCarKaXiGX&kaeQ5wq}c*?%Y2j~$4Hczj}4)W
z?Fe0VPym|e8+F_OwX5EzmuL{?_eXMW5sw=faH8H4vy-IX-dG#K<rBk+8c-#`!2T7s
z{a1%~XIM?~q^a67<<Z-`Z-JZ`3q@B5LsT8GM-$2(V}{88&GyH7JM1*(MpHQ`%V2WY
zWt*U&j#~=n>+9l-fAH{JQIYb#rJuCg=)>R<*<P5?LoHzr5l2;&C;kDsM2&qQIwU%9
zf~3b88SNo$?a>jT*xQ(S1KproJ}9GtGl-y@&w@$EQ4~%>3BD&hI=y3WR9rDFJ+9$u
z$8wtRw^zCQG8G1G`pRz{R<T@13J#tRA{)=IZ;;nSp?kl^9M7f^Wph_6!Hg2wsXd+{
zcl@ueUGNvIFRs1nz1+4=a6N9cXa!W<K<NUW^|YW2n(aW%t6FwtS?~YdM-&5lA8Ca#
z8sl?3hF~F@9v(5fDN`R|P7N|)nt^L5smt}G9@SEB7}_U$OD(8VQvFuFMR2hTo5Yyr
zg4X!P>}PnCQO$4zhR^tGsv@vL43>?EB~rIg!x1+od9-m0eg6zjefR%5ujK_2e(^P+
zrc@grByl`n5cM%afTpPp_muUz{n|RrAin1_6GH$<t#L8O8AHj_dV#BQ2n*E@+JjN@
zK}9DYwD%CpQgl8Gk+>(HJ|~RT$MvJ6!RTbIgHQQ>s6t^3Hd<kan%=!r49TEq->R2`
z7LOWet<oKFk*2;lF&l0WQ9#NbtwaR45VZV~4F-`KmC%Fz7GX~LY=yoX<L&s-Twb8o
zfWM5B<Y2GelfC4H(ldRo6={l9B{o&`DgNM<W*dkraaqb;_-(cXO4YtGu@M<Dtjn{!
zNSjiLB`%{+Z)yXJ5b`GLs2~tHu~eg@l`(b2SMlN<L;bK^khv3xp-m>%b8v1KwN{B-
z>{xh^R>A$NX}<j90%kWZCpPu1+A3UmPLR{wu>oVWQkuUsOU#VzTTfcAMt%MPTLKXc
z@O@({fW?=Ki}Ez*eh}xxthC(ald~4BxJdp)c+{Z(T2F<hBykk*4k#X$v<LkNiP%h~
zb~MYh65xi1&yH;n#iEa9XN`By^^m&n_Gff6Q+Ou6UHX_P?p_+XkDHpcxHumzq<m!7
zg+B-?cw1J^FwgnERP;LHCs_@$fKAG#q+&y-i_%ZItlTIKN-cOpH{RJ^FQmuF4$F?Q
zcV|~9gD9cDk3pHN=1Yc~>_y+8wymb^SZFNOZ^goYR-4>o!Xq8j&`$g@S1lKgK(ou1
z-o%nR%*y)V-cBNwo1z<&vP7Qv6-aJ&SvEbO{D_Cxb^o6!x79e@EdTd3t#5@zRX2D#
zRFVtuzXO-Q$D;!&kc=3MGKz2QpsB1=Z{+(EPS_?xp6_<JdyoFkdTG9c$e>S4$$VY7
z(C;C(L031no-ow%l#<b5fil{XtJNkm`J-V&aIs@F+*c<KlQO8|t2F@<wV1WwtYkOZ
zG*f-Yn}or6bDQ$*2R{_mBWt#MqD~SR3qSV>n_ujkZaA>!J4^56d25W`uKUevEh+m^
zo4q*3eBmM7p}jIPB^~s<Fe;wi=#kU69L@S|K0`3g*rer=qCmv5Jm{#WcSVgR#Av`1
zb#c<oKMo|(RD^EqCs&SR!PuDPD1#`P{b0Ci#_A>ew>+TVd$5<S^Gj=H`3R=mf`H`0
z-nV=`BFHpfBL6mMD@AK!RB<BlHhD`;n4I=Q^|wq~Pj%}kw}D!ZD15BT%<MM9{2*dQ
z)LS+au0NCnHl8b@nQFd<ifROnI#zred&enRzvH<eMp%xTLa>`Du{$VK*MFU`huwXE
z%da5jwxnjn82JK$@bu31Qe(J}*HjNOx#9;6GlmX~zV#Md5aalCppt*F`>I2`7KW>J
zOcQEb?RdmHgrW>aWJoR_)x>m7d`r9cCh2lX(EnlSy#v|a{{L}Gjfz;eMs0%j-Nd}L
zM~xPxw0bX6jS7j>ZDO?|MyXMwcC-oC>Y%t(Nk~+vS)wsYQEBXP6){`u8u$0QpYJb!
z<nMFjIOq9%JRd^_U-q_o53+M#WwYSnfP;7XeJNpOIrGz?`+!rGOf4#Z{?6Qw3ZrqU
zQCeq^neq5-glEs?X!=9AL6x-U>`S6FAD=o&R~K>Z8sd$(cHfiiu`Z459>nE62|i;3
zeuvIyG$)4k<eS;%3#x7Xgd%lM=!&CAX{GN@Y({crN~O1E^&-jB-s8SJ#57@Kvlm6f
zo34vVzRh48_7$sy$*v#WlJ4l}OozfJ_$B2fRqy+q3-)D~I3MJMOQZ_i9TVmx2l>03
z5gm0b2Pte8eEzErFTd%m$**J0QC`xZF5U4&*+*|COKBoy`P#EUvjQtg@^$_=w~}<7
zo~u&P+j`EWrfywG6#}%`g{QRU|GS3s!}OFZb)5d%pwT#3M-(RqEIM0r<~in0BH?=<
zyjArb*ySok(qa=$a=ob7fKvOVjx3wcFNx}_Ef%rx*1=<o`q>*SbCG~uiN>Bz^D{QE
z_UYz%9Lb9TatG<v{w%WhUTPJ)2TwJ?nM=dH`&gEP)Oa!`VLCltDAdErF<sFwOM2Oe
zO5{2uDn81=y@mkRVxS*mM+P0&yRtP{1v0-zTM9Up{l8^*TMLT8Xuw^6`u)PEZQZih
z$Tb=V{1Vlz*rjm!Gx?wFm4ND0{CJ_k0E@YiXi%uDcHiHtGjQM$WX*rBv*9a#5Sem?
zofq&w$15vaQMG-~iu4i|^NIy=&mKB$4$7a)ENhMEUZk+@O@+U%EpmCS?5j{Lpg$#h
zeV)R0IzO9qToOydZ>|-BqEX^^X$A}&#SB})s@4c<3+_rV6LTo&hGXO?5ED&4ts7ps
z`AIL?vw+?`8AXL&M%)fb<gc~r4WDOK(=JVfB!!fynBXXz9QKN0hNl8<YWZASZl7dM
zn^_aWpaN2Ce`wGD%aiI}`?R}j32M*frscFwXWu7w%lmxncID3wMbuGP(-uoqSO8(b
zbPwHTgV&h1XPho87%$*Da?jO`R+5xNX;W|vxV--K)I>@!jor2qOFW561*&Iuy8GR~
z>?U*8Z47^#4awZk(`<GMEW}S!*M5ArQd7p{`bq%#78}x~W<pt6975qBpZ7ax&1z)J
z11Zf;O>aIOCa%EPXdW`7&|J($=WdwL;0iJk4{v+*$A2%_Q;iK8r5|T^C_2!g<N8AC
z&y!X5Fm4N5*ASU^jn%GC8S?80%gIxB!xl`;m5y>mvM=(ii{Qo9{t*wv-sh^b<*8rA
zeb`;ihMX91oiNIpKC=wz@Cpb3LW3`MK3tEOMxh_3HMzXbm=xlMPL<C9Z6>g8bDFgv
zXA_N4unnB-iBkq`BAnINkrb?Ph_qc#ZLs%#kYJEvTYHYWrL#XqM@w^19Xe;Wl}E6h
z;LjqXtS#H*>&Atws6rp@LF+=6=5TaA24?=ODM>C!r%>XdO^O$Hvf1=e8Og@q;y`U6
z+y_3jp6!1!-4Ha%2%0Rp?sraHI+31)!E><DMnoIs(_dBQbFXr6Stjml*~9*j8b})W
z<+y24uq@Z$G51GoPB)2E_*zpp^X)89I|IIJp}W1$o27My-cCAs&r5=Q)t`%@u)4NX
z(F9uJyrdnb^U{id$HN_djTQc!9FPf5l!+0pkUzqJg_-waco9Amtwj{qnx8|#<IlUD
z)VXA9on;BLiFc$F7aa)Sh;l_@9ddh0Ui+=~`aXYf{FJollZdr1B&LtlDD}v+sR?Fm
zDU>9$t#yyLI}FREc&7WRbwv>;ypCr}|Au4ux^vgzJrYUAQ=+|8$0J6A78T#X$b!)j
zos!s;X)R;YNW27BaKO|_vqvM|tv@lNr0YTE*AHN+G<QEGSEAN*!S>dscJNwckEEKW
zvG3CPGDb*9=c^5hdip_BvHr@V<|Fer>^A)fEM@A$HcLlSdlQvJ{mRF2xyyV1eiY6P
z%;P-<<f0P^ApOmw5?%vyYWBC=w;jknCpc2)W@yJY^S#l>{jUpsc;}x@LP@_qp2e-N
z(1L-sgrzd;?8eZwu>>i&OtffmdJKZ(MdMBLwaU-gxPW&Hi=|ySIIe!C0Mz72BsA2O
zcV=>C;Xv)tqM?*d!aL~=K{YkMgkGTYDYR8Jh&zIISd{2I=t&>|K#U-?=QIfpsCLQ1
zRcuIBu%NPkhq)Q7))!4tGp|b#(>~dVBC?oBdh)`ep|LWWWUv+K>aPTV>e$>7i{n3`
za*^bFIs5N=vikYgZL_EH`z4RBw@>`nOfg*$eFNX)ayID%TX|m}WFG*0m4Ln|l7A}%
zA*X~8#%9Q*qnQx-S;{eyCFkY5+NqLakh_q&H#5_+?KcvYnAdX(_)7=$>T8j`T*|^{
z%w=w|xA&y72sDo0fQN}7Cf*GmGj06GNE4%6O7BbCa>Js?w7J~N3U{N&@r3*)JH1XT
zK~;<lJIt@g%L@+qS)wz&A`|O3DY7ej5kh4&3*MS(7Qulo>714t1zr@Ay-JX#H2g<)
z{<wXi#hrc{2l|o2&>Ed3N?z{mB7UFE*Fru&(23=@o+gvPWrj>oc#r$$?PKu=36PJ?
z$gnWv{q3pEH3_KxfG|rqoFh{Kf4Ix56>Mxe@6VSHr#Wh`S5+=~G3r^Wcn%@(t$$w>
zxSg=lz241&&Kz1u-u||kzMG9gj}SjTIXe<4ujTfRPOja#-_u+OU^S6RYVOz9s`lRV
zWz1s4*GicAkcO05xMw|HSTqC6w=J_E1Gv=j4S)_WW!=L7PQlv!ExR_I$@91dMh<R~
zJpN$7Oo4?_VL>m~(qWKVt=ijOf~eTUo?L^pU1{mjI)J$veTs0WV6%l2#2>B1(JPyN
zOB-K%en`l)Dp7n1Ehg=Wxm5x+Z2Yjc?ttK(CN+|nY?m|~6{@sJV?*~~SEtGM3)BDG
zi)Hj9FIPfpTjyMlC+iPP`_j->b8(}3cH!>xa0v<d*w3ye{K{&)Gp0#J%z5>|CCtdn
zeM1gbrXY&MLDQy7dS7x_US4<!*xR@7OtxQ+R9POAoJ9EV1l>30Ad|+CnI~e#7s7D0
zM;au@LS-G@?@z6#Gic-YeS=OJpM)L=FQdWL>!w}^>9x_?IW3nBV_y-!WW6~(LH5cW
zl3zk%!gXqoL>{O6D5?ZAm@*&LX_nNkl6gqPM&=R)_BJDaMgx#NfApE|0_@^|<R5Hn
z0AW;%5Q5H7z{FcsTJMLRyy{E-@pvvh^yUxX>f4F|e1f;5ew6mm;QYp(oy3rB7IZMa
zoGvUsnn7(Z{S(eM1d@9}2K(xhV^L_*|Fw?=z5_~Sl4VYso!MQ(9AlN4b-{b-_Z<a;
zLvggtbr<)=>U_P}6<II{HlWmQnqa&;JaDtLBqV+V6oXs`AIJ@Xq;fHVsm_XTDQe?+
zPG#R%S`~dH!N%_-c_qqn8*Rmr^D`rE_Pru2rwX?)QcXTH@#~bFwzKDQB5zxft&|3D
zH<~IHIQibrP^Hb1S%~OvNAU-fWzL_?n>vquAF?*L+DQ;6L^ArF)Odp5Rz$~-<5Fqu
za4{ieVhMS*@O->pp5`tKnigk)T!qLgoYf$&s5w&&3^EI^h|Pz3zijP`hL+_oAfM@S
zE&%`OP1UNWOH}3zC!@bQ_1^C)79%Rir{1GhQ4leSz3o5ZOtHRlI=5sN>e_#%s}`2!
zWZf~iuw%*9x^bWG!Iv=Nc!WNWY0sx;kb}3vyK9ESpw#D^;JF*!{*hD^_1yXefj&Pp
zKj3wIZ}XISGK>bC6HF40<P9M*Re%b-Xp{GT*KH+UyR=9~2>9qj&8ipNP;ywIIXlzE
zQb~-sr`Tb|TqL<|ZnkuSW|QQcK<4uxRV$F8I9C7GyrHq<%mHL35LtNwp=KwG5PH+L
zCGB};`u3SUNyrknbxu^$fN4`=6a78hsx5WjzzW<5=1nVYO5%Llw}3~8rmtW0-d`R}
z%*#c=eGurCTUsGA>nteXRYV93zCY#%{%p;^*(aB1#7|3+cL7u1xurl#o_`h355puS
z&PB2_v<H*p6(}socrL2=EzpOvpqZYIK|pv>M_kE@i0{YJJ@Exp+(_7j5+t(LQdU?j
zI~?S>6<Z54&!M>rnqf^WKK0k71pslfgLF4`JncXz-dg)(sXI_yfL@y?euCBgvg@cR
zw0sfr@^MtWYL~6Q=ac`g#H%ktd;R<#JLaN8eF1IG^7ioZ2B<*mR;A0nRvJQHQ-Kj-
z>f$66Jic_9j_zH{XsFh?vB(fjvZe(070-HZ9x(ay&2M*tKxRI4Y~BM7Sk@70`8pUO
zWya5!`vqB|M1&OZk#q?X>1cI8F;mP5(7{w;GRU(F%gk5}i{79PI4Ya6vqf^Tt^Mmt
zkQIqq*~{6PK|p6__mAcx6rOxN2xY0SQiatMz}f{}S9v+Gwh7sZUP$v?bS!dSJ=^Q&
z0eC}la?0a0l+f(en+YMhJ{e)mMNNY!w~8G3O%t9n*M$(i0zb^N?rkGFM<_kroA5no
zt3_bi_`*^b=YgU4<(xWM63t$)ZLO}uw#o}~BVq?@Zn3Fp&tZ-)lnj+t2`)hsBEZ0p
zVhZ??Iz0btWpF{gF}X77_udz)S>wP$=jV=-je)FkZB9@d5&irO+@Bt*XTvr%ao{yE
z(RYNX=5j2sK6LGjxgElx5NQ|vtSl&ai)gp~$k}(JeI?3Cbr_S9QPj(?(qxN=ChD$?
zjlLh3cG$7Boff4HK6yr6ha;yP9>ifIdRZO4=@|^euK5H(;w;RPPX|TY7%kQ96c}KM
z&HN}}#_IUSbc&k{53ew7jg`d;h13akQPhX?^6rM!L9i^%2Uest>h6PdpV@u$EKuMY
z*`0GF5*`F467<zms$3UOYS|(aPik`vg6>Fru?q}M!swa0>!3Ql?C6kr9Q3v%arL`$
zoj{ulydCxN$^L`59zFx%cW%}q4ryJX&i<{ey9=-%DX3}64#*G)ug|>@^uVab6@~1+
z$>eks()^%b#9Mv;76tujTMl7?juUmaIyG~w%J$+i`M)&;H2g6g0MW|Er&xmxV-%_B
zB+>2L&Hg^RaD5S}s@HAeGHzmpm#vahHwPMZfuR-#KNvD%w<m0DUq`xZF>viFY*R}5
zh|FpqDWA~SXB0^PNI(l+Hb{qcKtW+pR)SVA>t#n8^~*x&ffk0)>^!NdmoFi@n(7@f
zpbzx5$r~nHo32W43r31;8DCBGq{5g69mrnEvqc`ZamOwWz5(~R?KwxdWhu`%5|k<9
zacj1xepr&xWg}#{%~F4L9S6-w3B#v5iW8MyC^~sUY2I()_x%Q6MQTi#0PkO`uV?Yg
zBsop<N80O8N+cisP01($bg^q>hqXlf;%H=3Y38+1W+IU1_JB=-+v#{XV!dv#Wv~i`
zwI$(Y?{Njf3-2G!KS<s%%4(r;re6Ue)d*r_(wpY^`~(*T^^ClfU4Dj7y4xwiL?B`H
z?#RALixQvTenG=KIV01BsPJ&GCrVZ-%g$#b&ME>;a=ERla?0&`ZeyZ%knmVes0tC;
z?dZo8o383>>8YF<-2S1x{<Xq)VwSd5@F{!}cq2{9l$e7~UwdkV!Ul7OKE~;db&*FT
z{0A@<YhfW`p<Jq-M$x7yF7U}$g&47dbuL17-bT)nJ;K7u_bGkY<@gPjb<QZVN5_Wm
z-wrVqpOH$=#;e^aUW2lu<2Btt7}i+yNjWodd30)5?mqDO->UJSXK_<AIir<v^bay~
zb-s@4*1~vAr4Er_vS0qogVsuLoR!`TK!%tt@f;Z)(8A@s?IWIWf0H|1PWi2e9vqpq
z9@B7LUL+WVI%!8Dk=hYvyuSR&g6w~c;ciQ+#kVsGz2GP8fe_l)XtUVoRc;%UL9M>x
zB@Ql^py++bm(it%zqXvT_W1H7V!W=0qQu*aXRbY#-qqsp_h|}!Bo2png<hw%J)#5>
zm9g+PZhT<1F}QX?NE&V>heX#|ctMwP-#BF#t4zIch_<n0f#0;J7j~!6AH}nnD%;?*
z-yre72WN#!tuauoKmk8+iy-GQbN&Gc-azijR~LhY;-j^sY9LYSIw5r9x|#bPitmf3
zBo&Nf4*^?wzd%GfxLL4D&3bTmPqKk=?8se?4_j8uksK6x@2Z_&4L^}<H--(}>qdMq
z<oFI;OlP2p-iygh(|PP|!>=2iQAHJNZ}X3m8C{A%ybERQd!duCbAAw{|Ik2L6=FL7
z0c4t}7z&I%(F69V>Wre!LP1pB?0E7ed2LR(O1xMiTc6#8c#ENpUv)4bpQMKXK_C<k
ztorrflacuDrJQtsIiH&KOpu7aM*x~(AltSs?I0Yf6Zrsa2$dgwx;wBV<~E=<)S3LS
z@i!YEad@Cp+ZP-o&|ZmiWV_HFpyt$?L1R~4guN%h+ah!4Lka0)lQb<lbrbpU1h@VJ
zJU>Eo<yl$%!(OfD|JE#An^+XhJ7Jm}E4FD2CEemAk=-W0`dV-%3oPc#*m!Gxsa^vm
zb`-vt_FxFexf{ybHJU$t+`OPwgK!TEQsa!62yrf*F4+bQ|JDy+Gw)>9?Zb>olk)5$
zE&KBu{>FKC>%#i}5`DTXvG}*HH)l{VOs}}CW!`-Ctl5mexCT9ON;El`vsDX-7|_IE
zb5EL|%e+D5-%7;A;Y${;<)M5d@@-~OU8ZCljeYI<bA{(ip{D5Pap1XLAj}a+s75Ey
zXK}f&x)rpUJ2WYP)=gm<4~VpNHrIrh9i(q4h`Dp1;b<BhbqJydpi7^<ht}KF!DP?=
zH8AIcT3LqC)!pDI@tKF5TKiiSp@{uhU?c_%H(GTZviB8c#3PH#^7b-kno-<0dfeB(
zda(51C}T_;Dg1)1(x-Fd2$L_JQLc~YMOU1$&9)phBY)ijT&r@SCoo{oyu2X~Jl1Wx
z6lSQ_jXam?O;2u;a=W452L+bfXtuS4)b`!n?#VorCg2$3=F|D0dY>#G8NxAue=N`|
z8iQSR1Rl{inDM+(c0`M~oSux`{2#aV^jXk^xwo`WD5CnlRqq0jgL)v5XFO%}oYgE$
z)#h`TL*AQ-UtZD8(GnoXX!p)YBxsyZwZ%e}^w(D0Maw7yir|{b7cz5*9%l;6(#p7Q
zd$dM&yvLmr)M-Sh2{om$!{gMH{_duGL@VCyBnU}M`zK1<*&XFTSQhR4VE|xrM-j=@
z<{4ZF?bRqc0;L2+5DdDv4yD915_0Zq=ty~)JFaDLlHeH212>j-F3L3JL~J|40$6BC
zCaL;Ed-4S;4BI6a%bs#1D7t^JIqCGtW~6N;|6yC(iPy*q)!w=guKnSYbX($HxN}Ka
zLIvPnGXZ^i_th`YPKg|z+5UpgH3O=>d7LpMjA`WI;V$Fh2AJn!9irx4z$z!x+_(rl
z2l<Ss<AH%yGrfF@e+5v{oe^DD&1=g6j61yBUJMU_rNUbLb@7@UWP#dF#B;I3piN76
z2a_I?PGg4^xZ!9aDh!s`k_#(Klm;BP#v#7;3&;z4=tAvY8744{!^mS);s@y)I9iM$
zfXTwNW{bfd#%ww#jHXr1%B$8`3Eu2uNw_*iQ4?`s)2ROm!e(<>LXT{Tq~2yeOE?jg
zhs;V|=nK0*eXr?g_<P+y2^G8GYD(|ywxqR!$<D*Pm?PJ^WBNPl_a-d~)=}QcdvuNx
z@6yl#HVaZL^B?oq;g>Y1EW8t)9Xi$6%D**d5>v7OTs(#Z6Nk{Ccl0N0-DhvKWYCF(
z8vCGVIV!wdW|Y`V`(**FB#Cv=EE4~5Kk)5=e=j6|n7KE<?GFzr>V=S;m6<OwH^K$o
z;i%0XAgM==Ip3H4&z3;l%3bQlD@0cEfz`;o%44EnPv+f>c@<!?o>RB**07Q?Q7j#o
zG<DbHZaiU2qVp#J-;ocf?M!U0(s4CIwH7LlC=u2f&=SCPBTXS+6Gnc`g)y{QFOhm^
z+SF-da#hrUzd6wXo0`8pD5yByY;<e12Av%a{92H{Zmp0N=f&U!dwRlZ|76y!4fbxM
zr9AEg6zdL;08tLjX+4V0EHXx+W>wmTV0`pD0PekOHy~u*Ek96b?Q?d80JsH?#t~*i
zu<}T#PYm;jp`B_NMcJM%+Ml3xtY-JFF^hsFn(RuTK-UTYIke`rTIRE|hKy^UzHJJf
z0(<618|tV6Om=V$E7m8$XFOCi&pzq;0tVpw$5d<j4@lLrO!AIP9wo8xbttSaV$=V7
zAqsdOd`0jx&YjbsE~z8g2XC9hi4icuV-ZzIWb+=B?Zp~_(mEl%P0oX6etv$+P=JTU
z_xPy#{}zi|ZqMs=ZYcWn(ZesxG5jBZqcrCvqH58o*AyHRO@+}0H_w@cC20<X6zU6E
z%9aoTkeVE8zBhZpsgz?BClG8e_O%jCo;8~ndF3wKCmGBy&6}%Q{l057S%}-=s6kiP
z<MwsA?rL^cboeVgA>YYc_@g5NYo4j786*O2<wfUiPXn|nfxY%6C_o@-<@2jS{C)ov
zuYq8+tvaw8F-tAF`h?<^A_NdCKv}rfwyBrR+!<Llerxk)<ryvltTywg*-JbtppBZO
zruCiV75jM2_<1P%43_aDJ(uc7-Z;ymxUZF;^3y&|)icmjo(RI#)UaK35i%HQq=4*9
z@JHsHBFQVJd!y58%L<%UCG3UcYEELIP@t_47Cr?K9FJAhnR!<FC7Crf<(7E1eWm;C
zH5Lrw30ogl+~#m}U`kW%+KRUu?k7#!u%L(6vwQZ7e1p-=hO$0W`@T*r3`47ikLKxR
z+H{zXEtA(pB|_dW9Op%mF1}bz;&gA0G8k!9m8+y^+;}a~!us1NDRBBPYlE(GC-uf=
zCi&2j1ma0Ik;o|&Y^-;20nMXH>Lab~)C-VMNlB;0IgeV5`USk-YdIQI@%oBcgauoO
z!BDi5TdWcBl7>2>v(dxSqC{Wx+tz8|zTe&<9B6Mk0b~qlPEJl;ypS<)upe|E>G!V)
zqbHFDAFFW}<H#b#klv5e@8W3elXSQNBgP?#gZ|X#ZLhY1=x({(F_*7aPG3x>O6-R2
z{CAWE2SilcWz!RzY1_Wl^+cyvrt>XR(#!Hq+wA!;C(?12u~j=s0q4cbYsPJwQ8sA!
zTuj>}WXa5i<LH5pyl|}|@8U|!N}nv&{mUb^xU#kBMHq}D1xt#npu|HX{4tt#p3&x+
zf&wJat>&(b0B|bDO8%7^=|4VTY}LYhDZgo=F$awUCR=$ug;HLxxb%FekfXFUKE$>b
z^FstjJ3bi{$a15Ywy9_@rUc2>k<**F#v+tR+k|S`#Ixx_bERNH?9vxBI<`{Mor~5D
z+Zw`zhT#isL<z}mM;7n-OaSIx25Sm*sXVGa&@5};Lk5+Y>;<E2$Y-zqSH61TDAd}5
zn+7!(s3Y04v55y7JF1~}G@-9z59}d*ll7lqxDWj8)%fOZpBqz?UhV5F;Hm%^jq=?&
zm3{Ap@)k)h2jE}K_L(Xrgl&Qu{k#JqtU$ACW2Ct2W|!qPw3+WR_F0$y9rfvYEY=5$
z4Kf}OD6cYPQx3z!bxmuZVSS~g4AZOaakU2mwt+jbg|oG{8PA3J)MX2V@S8Ji!8<a!
zkb%oobT3UO7%FAap(z;xo^oa}s5LJIqxp?LifU)c<GzH2{m973>MmaRCxdV3(x0<J
zK-lrge8nDr9qZmH=WTz}7`|x}boK_xMCu|{O2r|uHdRd{ea6N_>lDK2JvKztAZ^&-
zBRFmo;Qoms6L-ljrHLy>JSzdPi2f6yG{cqUq|mLN(IzLverKc7OU*2B$F;t0mtvb9
zJZ9U(S54?LyltoJvbWHHbUB&+LCmsI&TOtXS%EKU=i`rb%D_uV7|4JPQCZO%Is9AJ
zY_z#Vz2O@ic|X<O{d+xz`7k4jw?1O9h^E}^a>;TlO?zvtsV7J3IP1o`$W)h>GbDX$
za&o#IBiQ+sw;n6I<u(Ct3%hTc<j~V-!$gohWC#Tm+*cm41oHxgj2u*lfza4!>Z#MY
zF@Sv&<T5JWme2AmsFmL?WJdU@kIMn?_oo(Kt<1%l6q^C=ibc{7k`cw+8dEhbSaM5?
zKQCk7v7FBeQ0g`d0lo|**=6WV6ncb$&Fd!ol1dj5h8cWtT=^QLM|QFnPnuugAZeT!
zT~xI!s{Egn&zg32|MH;F87Tvlx}P^d0Is=2z?eoW&K70%=;x$*>J5YW^@yrg825D3
zT;C*@Jo?;kb`Qbc`piW(1y_ID@oc7K@BK=jzEG1+90y7f*gken5}oAMHGA0)D2g~N
z$=R}3M_iq?oan3xcx(odEmonx&3H8+dSVZiP$<^VZwu>AJe&Dzl53Eg66dSz)(RT3
z!r{V4M-!fB3D`&P;DaxoN0RUI3BoRO!LEXVi^evw96=hlI&@bBY9jE7kzYc*ki)$K
zL?YE{l%ES;UpFe==QvT(MZtetrF|F<fZt0gS>wq0#W+#8yd^>AVwM7EDuY7{0%_@6
zq>`GaELioQ2Ebld{lX#X`YXfZ%Tjad+sja@(!Q3UQ3}UZAQ&>mH{ksU5kiM|ur0nO
zxmQRfU-f2_It=|Pk2g$qy~hG|A3AcI3L`7PuXT$#6&Wk~OymjVZV4Z2PBw6Nak3U0
zFY@qT9?AS?52@H4JXPIFF?%?;t*{g*T7Q%aR?O^}&pb`E=tnTF{K~G@x)q_GV*a+}
zU8pRswzdV%O8#xvwY9zF8hl3gOR`}v<`f%q^lOd^>`V64dis>HQZ$yv=^dTSNLRQx
z-M5EpV<jgkq<ymC;ELzJ8QV1~*tDOGEt-_qC^ekwxUWCVt+iCHRp&QN6Lylc>25z~
zt|T)q{tu$S+<lV#THt*Ij8`(<hg7#zXs!Dt!QoI(W~r?Y8ZQEKssjIr6CO&mkz)@>
z4Rc0fD_D&`3h}pXca;tt(WHpBczAf5S+YuG4$n?Nu^vBYT;!_hx6B&uz}+B61Azy!
zw$k$*zmei#kmIa|XOzLXzD#`zwiH?1^)C;hcb9#y(?wvb?Z+$$BRXur4}wY$fOq<E
z3kV@wgJFLUIw2tf+Tn!*%Bv(fm+-QJl*s29jJGU<cX7J#Nis@{Tq4cEidI4&y)x{b
zxktHsXdt&5Tj9bzA%4I#Q2fGut*IA^X__i~F%ha6lQe`^bUlr}x|Y&vDcG23o8W?w
z7A+KlHgSLLWB&FL1XY|jYmHSh)Spb#+lQm~+1cax?OnjZ0~r5u<aPyoz%cojrr!*|
zFUXwUxNvBhrahl{p}luDa&|(aRNs>Aq;o5eo-vA<q(C_mepy<F!W<o3t<KQH?a1|i
zd0e!M^<AV5&PKLLN(NC~KXiqQU2vBZgUEf`2yY81T(~O4kl>nTudqZ^K~MD7a?0MW
zOQb&>*quBq)Ccdh(fn<9+ZPI?^ESP349{LvH9b4HfOCtr>++NKpw@PXAIO%FFf3qO
zb{q^)LoF6(R1hiiy-`07Ja=-ke<X@g<SvcOwq@@O1|?qsxQ&w_Mdm9PCKGGqxbcXB
zLj{#$oUV_Vf~sE0sbrMax1V2;SzMKI#fobXi9ZYsviHDdl<lweNv9laiS1Ouk&Tze
zO}Z~4>*R22V)!93_N+{mn7cA&%1iO1C!#IG7+ynh`O#jN60dJXTB3>hK0MAjG}|JD
zwY5DSkI=bAT%!I=56t9=N;z5R*f6zMXi5*x-bEV#ws8-7*_I0n3?mOaMvvp4K<I33
za%@|04?S%pG-u|2_5B%?3k_af1w>C>eMe2^r*UMPajWPGP%h9qL3#_syYaUAJNL}_
z$)6{Q_ogA?l6Uv77_ON=!HFEb$c-t`(Spqkst>+e`1*L;ajH*UC)!y|b?Q}^=ADZX
zzSz2kKdeS{DADoNN>@6%#%)!bT7P*wt02(H=%Q*nUp7?hW4)6uv=_T`^QqE-K{E1T
z+m@M(SKB)Q$eh_?q2VOJp}l34kk1>af;9?=<!rL0UEO%b)7sjFp-ev!6AzS|g0$Sf
zJpA#K+r9M<D6~S0aRulO$R3^Rk6<C+=5Hc~$FWw;r)G}?K~aPj`wr((mCUu4ay~La
zT!alt1*PZ<ZAKi^E2r3-AR`y~Q|St?($o3K0fH!P=!h82+pF!<d10Pzfo{}%4PXam
z_Gg@VmSwSK;O^%o18yKS==Z<+DFt{pLwNXnhkWxe`DAY`sGScVY=7f!;D;%nV3qYp
zUekhlRO3{aU1XtCX|S3pqx2*7@>J-s3A=N%qLxKfda!!`lA+))d&Tb+Go&9>2fNyl
z(S0G4hZ*B2AgF%mf*%a<mn;-<*uVfHt9B^%u=&g9rnE_?MYZAnruX>f`Ge{8a5+G&
zc4z+m=n1+_5#II?Xs+uCs44xGwVhlbVP^wVO(P9N)~9DLe5A3FBQ%K-8V7a~xa~*a
zL6uM$l+S<W3rwaKbNJ~(tyNK3ytN~_>?7Gujwm;4t%&0{8ZPkFjf(`KV~f8G?{JPU
zodmnk>ljyfsU`{wRuUOzS-gT~9X?h-V$A>ER>7`v_nnr5@OlM252ycO0R;QFWAdR1
z9ks={P9AU=)JW6L>G7k-twEp#{B{1Uwq_A`FZmuNqM7trncF8p-`1b({*DUKZpYEu
z4<p$Ue-}A27cU-kyiCl(+m=lyYqJ(*8}vufRFbt>Ew)P}yQCT7N@3z7fkN#cGztDN
zy)z~3cZbicrZLa=HQg9py$^_J;J_$5Eo_<}Mqtu*e@)UG9_rep_$6;{Z8cL^m^9%B
zan3bmFZCJDMfLiu_@Op&C;qV9(YUj(;Ou?zBEM9-UjBtaa;oAKudKwNZqVl?sc+x&
zmeNFu`=#$0HO5E{j}e-%MV@v3gW~3s=NXW!={Rsfgr$YIRsuu4w3P|hzhsr7RqB(z
zA)Kd?2aTXp+78W=;KVUUjiQ;bbM=sh)(bJlARL-97?wK3%h+1J2cNo5@qDU|_$0ST
zlZ_F}P*0%172SggJ)y4757V8u$9sQ$GAPB1k9o9(iCf~Z%$4aZFFW44lntD61<Lhn
z(q8|5HO;dCYuu<<UWY7ft4G~T>Jy&z8A*Fj+5WBf`PeFd(U>!7<)cPaLRa>*f7{B~
z$nc=+=7-HlLn))zLGxVtN~n`)R+GelZW1TCYh<p&VlkEUS`%>{94Nd{7dd;_zNLs}
zYqQ{a3Z(&g4n-o;rG0*h>t;RNCTYd1xwoxJ`a-hv3pa}Qi)1JvgyPA>w^f4jQQaS>
zr1KRs%PvN2feeq7HAL$@C&T3u{QkW1r>&e+dYWeN@8g`mbcO;BO%DENON0Aiq@{z1
zK;2=;!4$H0;r<5!zSBw8TG12*{}aa*1MQdbX4{eT^0Hwv$eii+$36Q^7jcTTE`z&}
zb^0S>9$#*Fy?Cpkz(NazJN3(7XDeuD{-?jEE|F?hXL3{@rSoaH#dQ+Ng`7ez6p@e9
z{hP)$nh*W_M4v4Sn8lmP)nIeqzR8ad8_&-<iw#(u>oM?&P}y~g1=8Ma7j%$Hd0cVL
zD^XT)xn~@8{61t#iTTm1j$dN)#N~q!o^YDx<)Px&%4*U@PtQ4+=I}j!IidJpOEDgm
zx*X{BI()wE*?<m2^Luw-m!j4;C&f-;9(?bfL-g$BMT&mU`>UsTau4pOaHWM70?r5m
zGyI6@45P4t2Pw#lE;Gyozlu5u=H9sEm%LeA=9%bIR@sYVdvda&=W+j`KU$=8yzYa!
zo!+J4kUDZ$0P2g4ncwJ_0gVr1qrng5VJwHtf?v};CzGGWA;E_Iq^o&$HZeK0mX9ah
zEOlI2^~t57h*p2qTJ_iX;$Efx35E!gj;5`p!OX18?gi#K+4;RbC$D@bSV+Loy4k?*
z359d7dNw3nf8g~^GnvDC9TMLRL*NOt@9IxJ|GB~&1bN`+mA}$%E+D*75-ER5`N4*N
z6V8#WO>?fteeg#l!PfgIZn%LfV_nT?%aAW}wE7eKZ_-_6+I=(M2O#>YqpQ#>zwcnV
zy8B?fd9sOZZR{o1@59%)3E)PBR#uOE9bu`<EH6e`&d}l8Z_m5BJKv+r-qP`%Qf!==
zlqx8D%((o4k29BuScQD64_xrL_+tA^kWhj2*V>J&Vl&G6^$qzLVa0B10e_DK{Dq)W
z;39_~|G6tWw(GeD`k_h-h^41+qCz5Ry`%vR5(g3NT<+h~jM98_y2<F7!)p7mTosn>
zV|@8?xf!DTE_j2N9*X4SY@F(Q9vbemDLeb^EvdA)k%yE+3c+V|Yw0+ybWf)$wJP_u
z%=RB;H7IJ9Bwp2<mTjLfZJ`&U{)$?Zs_`A3(j#%S_XTeq&0I|9mCLMV8;}nIB7Gl(
zlbK84dD58v=BYe`VR=yQfl*X?Fb7v4KzD*7+TI8906sB8I6W!3wgQBD=StUWDVmH2
z>SGeJ4)t1;?)e~kbACa;_wUXd*9sS?MvkusoDtpV&a^SbWo55jyGT2inlApK{J5`t
zv_Qnzvi{`$i{2=b^!GYVj}Pj~bt@fR@=_^Rs*Nis>4m6U@|r|-ZKLbO5|c|YJrd{m
ze4J?-$x>LoGaU23ey$V5V!-OYU5m|<KwU8yRc~_7ig_T~EQ`Y11Y(&t^rwBaP8ETQ
z7jw2Vn_IF7LE?<q^={inH3br9<nSolW&TLTJ63C>|5e7;PRY47X$O>MUd`X#$bVEH
zO7<DyMfCJl{O>uh41F$E-VjyFzBayD?<gRVvb}Q=Q{iurb|`w9!cAi{UiAr}3h9+Q
zv4;kPB*>DJ2u;Z|RW-SB&6xl1&zp#9`%Bv87LG_Tu`%6rHhvGU2B-wzG59ed;qP_p
zaKpyE>>;bstjeNvqJ_rQ+KWG7NZWcjKjDI_!Plum*$<L+Kfd^Mqo_<#%go_@r))H|
zepj=1;0^Id%=M$BmPyA2xfsXiWD_H87;ystW7wYg&u4-326=bu8Kp%U2i-7UlE^A`
zy}4Ll)EF-phHGS1NvUs1uL31P(pJnTJ<A>Ng}o23l}9Jev9`MfUo|bQNQj(|44rL<
zbTNs=go+Vovw3mS5+7xJWmL`2pdQhxI*CtX)_#%g5yif-6|{UA+uhUh%}j`*)O9y^
zspHWgD{{8k-Z}PPo{Tl(>(hQg?9f$i<UKgbY)1YY#HjF>$2O|8576Vfi)vL!bM4+R
z(M&zX2!iDC057%iUFD{M%35sV4(f6gy)zX^At&(hs^-()MyJ25&ewuU7~sYYb@x9_
z4M!y|jYP=%|GZ3e^bb-#b1RB~b?#phLk2owa_+JVaMYO17*i5x_feXYuY&y*-@&T)
z`fGI4eWmg&1#mF$I=_e(u{qXI{h+l?qTVX^1-)hW*y$lY<MrtZy3<?w`gaz?XFzUh
zf93#8C=VO%c}r55KUE8{a0{=FYgXCNUjT1F>_3I<V6V?@Hi4D?7^d~z9=!4DP+Fb&
z8S#)YlJZuZQXL73AR73Znxwfb5?6+rLuE*N&|SfaZf6^fk>`c_n9yOVlzCx~;J;lF
zO|N(>A0NePol<aady<<rO-o+bn(+mTJx&e{EcBupwelcmxGCmx^X1?na<pk$!?F&Z
z(+O-+(0!MU)g$s-vYw~F&wLzNcNgK>j<i=-344TkzRO6f82@v}B5-y@+`-ov1N2I)
z*j#`U2>#=<MvJTGiP(*`iQD|8**#H1&GAKHhCJ(P%N^H?oD-7pLHd@PVx_Z@m&r|E
zINFW{VONG}Z&qZz1B=(Q59`DD`7>RO+^>RZ+oD<S@`|i}rSEPMYK~@oO=(nAGrG{!
z)a!P)buOOnw)Qp(7gu|!Sy&>kSUmr>_kNq=R8#7qHvO(TWmP~UflK?L=$MGdf?O7=
zcZY9r&g{U54~LUHOV`Wzg)|l^&<{^duSLE?v{5dPi&7+Rlmr`o=@m?TWA40mx+K%U
zr*7WQ*LimOgDNTIIs^5>;6y|F>hV)7B>nn*{3T>hvrr<3KSv{@7G8U~J-hRkzat5A
zy4LmMh3l&-tbqa}ilY5_UNsSBrnlCC^625f(#6>$5EUbHGa>1x{s+}J<H;3)vMXDi
z)A~E2vtJXud;AgO-fCZSKOY+QKl76GJO3<ktBbF*N3h^)d+ziNwM)5gJD#suJ15F_
zUW8`mp<|p(^*<7AN4!V@doYE|$r`j?^&4SvrY&L;S|N*cdkQZKu*}H%muHQVrFMIT
z>nA`hdby`Q?i_5#))+Ff5$42r?do?!L#SqT`4qh7t;*T#Up<Z6hyG~HGZyeNdSZ_c
zw)Gr_G6=WlSdbJsOYbQ!8W{mhXCOvbSs4jc&_wZ1zt>UKei0|>(r{l?GLP~SyFnU3
z@c;dh6c#CErq5pxkgH}wC|QX0;6~Bs)3~QDrD(rwxiVB!Ij44-)ua+mJftu6>f9(M
zyLUDu7iuX$Hh2Int4%{g=)f;PnxmOcyOHXALjP*s?so)7`*v7nf5WSACpi6H5J&_{
z5ziDqP6{g=?@EQ1y8R);8Kk^^DU-H4W{(j(!!tMzkMZoZ`j-dDj0kMOYSU`pxxKqt
zIT%VnK>MoYe)@J;t*eN6JWOAdTeq$&N0~KQ6!y=f%l5C0k2`A&oUZB1rZ6F#mu;I~
z&seaDJClYa>9=_pRn4ACRrP><o-hnwrSYz|@kNRUc=v_gRdI#l%$_=VY=My8^Z49h
zhe(=NgwJDkR$$I(Gq~q&-~XG90N?ZtGY$-@!Pl%EEU{wq<vnR->;)nF!tL~^mxf!&
zE(R#`r=bc~$Jjv4qVJRVh<t?yO@bp=t)$=xQ|zgixs?quEinvSAk^)tFNm;xnA{4~
zo~VoU8|(Dhky6=G8PMFG<c<I~4~iNOx5y;V5TDuZXEyfFadw%Ltu_*Chdx0NanNN@
zcK`6g@tSIZ&5blD>UKaq-i+R=z5P2kTa?avqtNp7SElR>Wu(Yw(bqIS!?hQ$(BJXL
zu#?-xQ)^FcmsM=kzT6m)sfzo!ew_RI6c24+i7(4F=c}B;ImWB7B3C;|2BY!5{**{V
zK_x7s-r5h=oY=F%tB&>+&nAkqvf*;DY)m`bbRjr@;(9o@LpU4|`(mp{Qz`ojCsSG{
zKL!ZvpBdh{XDTSZQm?%2E=Veq$+6kNIc)(PDO_A)9&6~rx&t$h(vWSA<P$m4>BMI7
z*!w{(5cs}dSkQ~qO7<8Q|NS4^M5o5~E_l9Op7okUSA55$dU}L*UoJdjGM!>093!ES
zchYM_aaMoh|4cR`)S%1LG(R+OSdd>`GAlQNcp(|W$GeNxA&Bi#SG20+kx%wJr3G=?
zl6x(VCs)1hm0Wz&U6BuAhWBzKGXTk-$qv8D4EA<&)N74=bRU8f)s}-}xXYjqLsx6Z
z4Y;99n@wJHh6Bx-ynQK1ls1l;V746n|NE7y-QGa$J>>`M2)&!_7LbmVmfu=0lK7WL
z=Lh1V%zeT8^iXGcl{Xj-Cz(dd?e7J)MYv&WSSqwo(Q6{7uVpgNg$D>OqDk-A23CFT
zZedF<u7<(BjIGWWp;7rht614p3k4rRj}Tf^ycrFGNI56Q3|<bhNZq&Vg<fwqO37?n
z4SPa4Cw|`ZQFG$z_-{f&6%q};`J)Xh9ZrEmpC13wlm4@=ZLZKF#Nvh4gC@3AB&@z0
z!V!VSTU_lmqcDMoI9@y~C?(H~<)+^|T6iXtS<=yOC?_$o4zg|!o@%5=U<vH5Rx+1t
zI)Cb+Errf)vhWJ$3-772?J&a`cMA;gH$7GCKLGr7m(C>OuXD7w&oPw@UaEUtl41*m
zzv|o-DWB4s?N?vZxDu35nag>WayRKNJ~q4S7$RTo^Ov=9o${;T?!orh%Jb_we|Pya
zx($04l`ElDrp9&Tn(`_iFV)eJ8MF0`A?-izCU$Jd4kTu74{WRtI!@+lT^&d5d}Vi*
zem=R@6ZP|3S==@>t+9X5r8JW9Y#(zIuh~M;mwk=uJ@vq=m9gdYfo+xTjLP+_cZiC6
z`0Rjx+v#I#_*1oqlFU>Pvsqu!CPIAddtXmQ;Kz|aBhw-iXmaRm7fFY24JX#clfh=0
zydt_4VYP~r#hlXHk{X289-eUIf|pryCJ*;!J}i4ZI_di8WcjH+hPh><w7v={nva89
z=wHz}vd>9=TrMy<eF6@OzV_{>+J@Vs+Q#@Ux`7e`NCc3-dG(iP<g(P1ZhZgK8L6c1
z=lUGCi$!CFp8D=y(LO;(YwAaK(sF+9zr4~PBIVDwf3Ya$h--Gp3Z-@2co#6*5i~hl
zQs0XIiX3qD`pBu^4_)q>lLWtDT)ZboI@Uh+PSvYNtbZK-mxt1!Jq!O!t?2g092?X{
zAIdNIzFn7cU0bx<Luo@5E{gNWVF|}b6hQ{3eR)zOaSIuhlJ-?6cS*o}!CFCNBpT^X
z+T=|fbPqk~3--tG;lr;?7E5mM#U)AZ^nCMVLAT^M=Gl%Avn=EN!XA(NAxvLmz?>#}
z;s9QGADW<D?*7lWm5a=s;b2ANZR~Xw=XiF^^kInEh!&&@-#%wd5cBu;!tnpa?dT0~
zUeMuyZTbBT4P_2v|7kesX=xVrA9_-_&drv_Z%OEV@j)z-8B|A8T^u=ycl9yU=<$oE
zc5}*`B<b!4X_C&!7T=s~*d~xIZQCuXCUXN?Xgz)|yNPz|<0#KIk_e*1#VY^E_o3UV
z+)JkB2He9w|9$0@`{3?f$6~uT?O4gnQzQRvof*NL@_x0WEdR$3d2cXyadq~`Twj4%
zVb86am)P6EI;^s#)0}C+Drm7a{^(LyZbVG<El%>70-x2sr5CL{BG%B-K7hyQX14d0
zvQbC`etTPi{aY%eOU1pH0}~cD<zT`iB6Hw8&9ZGt4yi@O<&w`BfFWa{wdxCo{vMJM
z$YA_$eD9&Hr*29~gnu+OwoWT}1_@h_qNP@wt6qQH4$+Mj&#CbgYM<i{=+D(fS+jkx
z+otGJcH*}>t)s{I%x9V86`FT}TH#sMKchH0Hw8oQJgu{Gi+#nD9YlYaCJ*k2hVjYp
zdpcyI4S0NY?tE}9OfF0${<moh*!7&NV!2C~a^;3i)^k<}P6V*f)TVjH*accIv!yPb
zZ$hi`NnAbQV(Crgz}FOCEj-p}T(IOmu6E<-IM65^*6n@f=ulSNBJ0}_%Q7d4m4AWV
zE;y^?+u^j<x(GOQ)Q$Y;L!5BV{SG4j%n?uP)$Z`27B4Ok10&FFqVb2m-A6ZnHIiwF
zQ9GOL#Je!acE1$GPY^bD_=ma;S{ygxY_WsUhndaKePkT5f7>H!erO)fKXmk_g)5Jw
z%pyy+!Vb|3f3<Zq_5ZlAtDI6f(LZe6Pk6Cn71*m%T{K0hCa+jkw(gWHu^c*9$PTwf
zuHJo*dfoVl^z`~dei`}31{;L1d)m|uNbEgIYdxjMGeQhkPsWiKytxz?xjJK1QN3+#
z5IEJ)H{9~aOA5WhSFGyg{M^Vz(S!E*ga2J+s#s1Rbkd9M|4CO2R=RuAP8!6AX`h<9
zo_-lw9|bkX8`)7i)%`FZcm=+V#|oaj39sYl^Mdsw<sdU{eMN}V<5ve{pA>m_Jvp84
z1W2%gBA^NcCly-p^+qwmEAxv51>0Xpg{O<(Y+Hvl1P-0?NIPY%T5L-Qxp!pP{kq6e
zu{ITPm1W7AKE2G1nQsg+V)*@8N;$qP^LPB3wB5JbHna*}k(BDy8p~<hYWOXc6L_YZ
z{dQGD=M`dT9_CZT?ngB=zfJtku~zhxaI&R7R;iP@|H(M&P%-zmzIXy5-PKY?WTcco
zfb2#Q(j-WUiRi;xTm>f>nQS7eSt?=e{B|@Ef4x87@S9?h*DDVGyWQ#1V23b%Ipv^Z
z7mB>Do6ij_NFAnyT0glJWYJOpO};6#jQJ}@>yMB_|20#8=I5tRCU6%W3nIE)kpw>Z
zA%&+xxi7oKJA|~#-Aa@tvC~9nz0Kz9*c$WS)<|rY^9Ii__Q}_eV>{jMAovI?wp5-a
zTCZRG`jYlHC%c%ea~Y$={(`6%8OwSW@}}VmW4+nuLz4zL`bV!VZX>kcta~ZvPUE@3
zdq7uYnm4&#yKsH{K!B9gJxU9bTo+QwUtl=V1Nyonixm&4eu+PbM=*I_8U$Z9)4;0I
z{)g<`B3=D`I`dXbK7ZKR_30Z0V*m1hgwvGDifLZ}Ycyv)5Iv9vFTYhp28<4#S!C@d
zAI2_+&2#ttaj7pryVzuR5AGChPR|F%{xjFKsHpy`G2gIWR}e$w-q?@qwKw`U9cz-_
zN@8xEgiO(V8iyv`CoJ&g&(Po%`)%Q6jb>(%GI<sDy@-pEwFxQ2J09db&<dqRKM@Qw
z{8DN5eE1f|MYKt(85I3?H9F((^Q>cSHXrMB(tCP<z4eW_@uzeB+?2-4x74}^>M{pp
zrOc5R|MUgZ)~uA}&}0{RgUZoiIj|RuHm=zx%zgd^Gw~stv;dN^%T>}jAqw)urr-*M
z2!TGR@b}5HTaiVa<{Yg@Dc>aMhtHc$DMOt&hOO?3>Mws=W*v8KSx)M&78+1bAxApX
zXnJ$gxKIzuA8PA8;YRy!u5iI#XszJ1NZUvT75C(ytILL1u52z*=0pXFV(Z9gwyUW%
z=*g+l9<fB=?5S#Fcl&87G$b6asHSHu^eD{_>rl1VR(!cZ>Xh6&1<AO#@e)tYX;@D3
z?`?^!aC;{ifzpr(fM3-FZ$!Lp5gL;q*_y7^?>egkmPjso248Abj0d8~<2RY^FU;$$
z56>^pi+^%qXAjPrH`79BfCY&y`VMRtoA{jfo1;<qLZ6{yKz-4X&|Q73+RBZMtb&oc
zCJD>&t=MWon#=Yz`TozOO%CR(?o+cixvxY2849r`X5|t=vpzQ7<;diUB<vZsc}|bK
zJ^IZI;${FOZ;dwbTwqn*?|%ZrKtiW*&FSaQlMdUNEKz=oXNG4HUTR$(-;*8<YW`@D
zxzZ*U{Adq>&P%S0BIYG-K6aTqVKt_`)Tt~U+l98+AH+T@()mnVW2C%e-+{$5HCh}e
z83CdlG9p!`4t6X%cgh}gd4!Kq;cUK?#?o=Jo5^1BP?yy0QmTezl}*a+egu!DhOSK0
z$@9ijh8$D2&Xo`O-BNE4X#&nvR9_ozou<!|f=p?I_Y~UpTGZDf{3pr(w3*UFWqPGY
zWK+g?^1kJ0<ShGc=jQZUvE<dOa2khzna7F6oR|b}iKcOcs%~~zt89`zwTmqOVe9-g
z|2k0aUb-N*_K5zWjNcUdlRXnh8q@C3oUl3>Ku<c^6SD6FmTD@TnPgU)IsE*y$EZ=(
zLh17Ejg{ec1)mEo9?LTWLLulWCNMmnx~o3#V|XsiApg2-LY@2P@nw=Y--NfuxvMBS
zyf2=CFcf9T<AZz^lid?0X%^31he2(IqV@>(Hei_>3VSc{Bh?rylI=5&KkE_WkhN<j
z?Lp64%yp`GBD<Vzmh}i8F4>!@g-SBbWHc?2W3qbjJuIvPJvq112}R9_ThnUDQsY!r
zdaq)H^ULdknRzlm%%<B(a9~$T5o)2GKYPVuDzL`YQI&rJy5OrMc%$f4h=R+<=jC$g
zJx5}9w+s}+33t>+CJ{GB@aZO%_dLHnq2K2-iw(^OQ-;rB48I|V!qI;^%_#>wLfRY`
zH+@r27zk2N*_u#VGR0IGUkL7BP1^vuM;eOOuQ)I4ktv>fgqa}h&&MIvrCuXjq|P<a
zzdXODcP7|S7fZVaMAI5dV%6}zzfSEdmHo+3y3W>X@x*>goQ&x+=LO&fSo(E+@*#BU
z=QVQ@Z3GfxoenLUOpH)JRTrfaqVZQOW$vy3;W(xEZhC$#q<2EFA)&&F57I<-H_y~(
zZugPGV_fAF6nh+8^@GISK4%+g-3W*3j5~9i$Pddgorx5$HaWc|VBec3&XcD(x;MGs
z{3X5(ap)dRH{|~s5AP779$#(v-^0$WduqNrJzwvIB)nFM?ES#xB0m`SeJ5gEhYXF%
zqO(mCDwB-Cd-&Cd!RY{wF#2oA&|r<r{|Ed)1Ha%b%kuWXRwfd60yD8PHYEa1T!O}+
z8UFypr}+`xAuww?@ftIXh20X;{E-=YwMer3t)-dl5Wd}O2c_Xy%chDkiEZx9?X%nW
zA>n(M@qvoFCepbslCSl>8$Lmg#>=M*I@ZyCd^5-FMDqM(l0f!|9a=hBFCF`M6Ki4I
z9YHW`Y8lJGa(D|Z$wAfGd4qN^>N`Nm?~pi&CqFKa4C?H%b#{c8bdk$;5$f_|{s*u4
znL>0xdd<=hT{1!LIzzYwK^!WRSjT(;4zCg++kTh~F2e%ZP}^r-2%KRNZe@`!fX~}I
z1=?eX<y&pA;q;D@10Wt)hS~7kHui4DO?d!YIhM}Lx_Le4(G1CfA`?0;`v<bVxCUCD
zVt$Q~A%sCQ_CyxOPlg7_bpcWhJ7O0^CXBXhG2qrdmu0d_JKP?(T?y{W-w;luh%$i(
z_WuA+1(Y^!+c7cTk{0cb4+m0NCuRr$b#Kz}n(BWBc>Rc;UysQonx<GoSA$`)Act|}
zPrL$oV2dVr9dO$jfxph|VMrrW7dzS$%XWqO;62^)GoXW$R>s+$m#gxB;Pw9i3swVa
z#RqrWuSf|T_pUl+5tdomgr4GiLC}k#glTwO2kRyCCtcb_9D{q5VDOnq3>RT90eFLp
zI#j1=4ha(k6V0uKiSqXvAC7EU`wRVuN3kyF)OE`@t9HSou%L8J_)gu0fMlh%9iL^X
zq4pFA!2=O)>gXmq3rn|Sk5_gR#JlRogE`ZB3?B1Lz1v;KPzR8XJRXq3-H!YJ045&o
z90PlUq7K(h5!raKe`C<fX<#9~lW~T!o-N}>{aa3(zqR!j^=RL!@K~w41Q1OB03d^$
zz1fly`;yO+Y&l~EmRVzO_xR*+$RIX&A&KiO3v!|Mo7K{{xQuleWs|(=IJ#k3qZPL@
zZ_oIBf5JUBW0r}(A{w^u#w~Ye<Y|oj*gD-l&#LO_jLJl#n+6c+72JYjF%;q8?;uU6
zZC&FBbS3(6q56pKKtK~S4wHv)K@OwbZgTPKIAWA!rQAGOq@oF5AuKi!{7E&t3#gwC
zVgiL37h4Nz9?DSn#@_=W)b$Ozmx{tU1l``y4mo(eg<*DfYX!1eWrHr$BQ420yel52
z)r_R<Oc=>OV*1(qWIHA(9>`JDHjhX~<2}r@m<th=CR?H36VO0`1(QF>kB@wy`w7%z
zq<~42N<t&~95TY}m04Lk<u<{D)2lX|Phh)hPB=3eaceCsndx?M;y>W^{{RRLVa<c8
z)5P}TR_+as*cL|`#KhqljAIVk%pn*f>Q6f-#Bjj%k4v{yI*Zky{{ZAIt(tcaYa;@T
z0%3o&X%BZsdx8jc9^*1DHW@Hsgp|6Md_Z&|8pV1oeX;IXPhM<U+&kb=3C2+?s9x{V
zQc&-SZMD=qXF+1Uyj}|jj%`^69n!I2y~f)M!o}MW+%vd?Ed)y#$rEdG*AVLbU>&=H
z+3CCem(v%J_PuMOlbBkRk-Vpb<GbFC=$xP%MiUrW91;z)Kgjv_$y2D4KBSu)yMsfN
zTl|g~=_Bq^(aG3BcHXnG4zUBBLbf^~<uq;Ixeac<r{N)h`yfX9i1l=5B)3+`+*}=6
zm5k4gw%F&_#@lRtvE;Vsw+J!xl@r=a`iR0;N$<I>BHi>~uPh+?Pho+nBOzo?zTP?P
z7G0q1wrbCeNBXe{3}#UP`7$c-#?XQ8%@wwKkE1#yq$t>a@dRMB_RGbF$Ma~K$q#Ia
z<QXzE?Ee4~y7KJilP4cxeP8b<`G4wBD)%9q9$&B@V=J);k1pb4i>O+Cu{!91eyiCK
zVPoBssRwtC;W*9)v+fZ;Od)x;>tW=~?byh52UasbV&6t1s0p(5WlBhJ0OZm=zLGza
zN<FnYPa4|r%{r44+`mbCH%M6<4fQ@sCpM9K106F6>f2G>gz{NsmT|uiyEYcTVjaBF
z46d*AvPNB6xZXbZEw$mTyfbWK$h5O+!KAj*?%m{Ly1Qc2*geNWvOr8>ZD9;V8p1Me
z=L;KW76*e*v!7hE$>-l_>dm}i&Rrh^Zk?bQ{{S|hu#VaLy0NeE9yAXb(rDHXiw|5`
z3&tN;VNP*n*4Q(%Z$)X<wZ^|irP5^Jup|7AW?T!5xW@&N6o*37(pGE(ybZ<g+Xxt+
zC%dFNTbE`Tz_<-j5QBs3*3a^3v#dysoWEhbSXMDiC8n^XOl*FfUgic8zM;@#I9+9=
z9m9b~P=Xs<F?(p`)^ub@$ZW2Hd^Q2NsdOUpzt0AYaJ%wfyvJ7uXNX`&$ca0$%Ri(^
z;@W$HTMMnMEDf7-^YqWZS+`*l#shTA#KX}efre%lOYFM>>1Og0blLR`aAHHdXhK<+
zY3nl>X8`^=&#qbI^XZQ6rJMakUj*Tk&PHqOiS4I$c!ks}{4yBea=X9w0jzEj{{W8|
zJ6zjNXKWi>dTquq**cOjr;E6RL^_Z@>|)8#fY~W6XNfXjkkWhKl<BZ8iRo{|h3#Nu
z+m1z2gPC@P6i0j>vc?;9mjbq`xH4C%+X%>OYdDPA%PrSP*HLEAn|hI$B&CpBbP3%g
z<^+&$ExedJz;y^_U9B9KQoY;RW{i<tzewnd%thHmGg#O9=RCUjdXuxdxI0dw%wyk@
zILjyRZMGfTmKObR4%yY~3#@ayL6>1<`e*2g*PbSAA$24dR$^ylo%K7yUu}}#5~3yL
z>Jm2d5Vvmwc7htuOBroxCBwjC+imzc9Jbqj4?dqKtV6yq@w#b_w3n9vEhO%-oGlto
zLDCabyJ-Wy3~l1V=#SN-`)MR@<=Yls?*oe=3=;Kla@`!=7o^H4ORz`a;i26~@g_yu
z*)EU_gn?M{LtaS1>Ia8VnQh+Aqu_zNgZ-UN2#ZGDwlShH4X2ZhLhPFwM4<lwCvB`N
z7m_z)+@3Z9g}1Ykv4WD?ED%5<LO{mAtR~LKmDq9MhDUKi5*g`kGQn-35ob~HUgWG}
zJ&7zK>^;<zQtUD@44>tPnb`>Sehc!o`-9Ti+2xbn_}CV7!{5flAB5ga_{%K2cRb-(
z?!s_nb&iQVLg^_kURD{F_wkl|hBLmvB7#_6!-Omrb|CU4NnYbQ!`#auw`JOOHN-i=
z(}{GyAtyF(&$Ia+eR-aDWsUYu(r3`yaj>yKJGYTyXhMe!y>NjTlewK|sJ5M=)G(xV
z;B<1@A%(Fl%ebJH6Mb9i2ZG0;Yh}C3T%*vF)D^R-;`UxN2YAkm)!KovN1Py>a=->y
zSU|GNp<^iv%fA*kcWtu2csxB`FL@njm2pd9Oj=a1*2Iz*BxC`%K`jniFJO~MaCBwV
zHay_i5%*zmASW{UXvW{kg`w5pl7wwPiHw14CEh1GgASpFIxdX%gTIV|54Z2~8x6V=
zx=y2(7B_cdGiQUbe*XY5c>xWX7z$;i*w5K1qCSy`p^C=YJiEHE;Yn@#4(^r>;$)K6
zC}qEA@;v%YjxfALM)mc%3gp3WLnku8jwGrb%EL(BM$II0TJ7YRb!&1^FKyo4k_=dY
zVMk1~v!Ib7J;$`4E~_WJgSs+x!!fHQ?hXC0I<smoP$tOhhzJnCp8o(Dt+%`!U7P|T
z5c_lD{owHRc(u1iJ3$o7xkFZn!a*`peyNBYRMjHxOG|OP7f5e;Fgmr?Nr84Ywjj?b
zkYVCNLlH=vo+YnVR*uM#O4o)MZJ$YXpKb5pAhYfJ{O5H-Z`;QMb|ZK^;o3i&`5^4J
zIU;8FyP#T}hqaG=TFiuZet~|AyJN{@;7G+T_+szm^R?KMjIg@?C-NSxw%cvy3A-Z+
z@6gi9+s>5D>M+*R)Q;Dw6#N$A;KeyD-YgFS(_m~5E$YUhxesKbc~fGw3SHrm;g){S
zvA1T(H<$hs@De;&n=QbV(-Z99dnv|G<)^aE(SNPcBG_$}YSh2pPM3Tp!~K*kK3xv&
zExn&)Sq2W?BVJy+u{fl&3tdEZ5e;E;XAYzlC&qgVM`n87^od)uX|)9Q=`K%xLoXq0
zUi^=1sNU_L6Nc!C#ii6UV?7ZZm;o!f{TSzWZZ^wcKV`l`x)NPvM{i#QT79;2r#qZc
zbVUCE31hO3#OQ|kV0Rt)G_=EqcI~il@E`LyO*%^*S!5TVCJeXCoy+sX0FK(7as>uz
z+ii!bM;>3~f55TWBbQMOe}`vd7~hIce-hhJQMZbVx)3q5F_77?U$_2~aI{wRSjg9=
z9u1V=f+!LbZQcoYOK}8<%-y7A7*OKQ;J+ZCJWDHah;Y1vka0V^TeLDog-kZvrzC(I
zA|W=_=J#6}I<jeWt@>T<88Tw($ZWZ7aRVoe$%OQLIwa2Bv&*%-n=(Lb-$`EBA^Tv@
z7E3JH10kYbP+;o=kS0vICBg^WDA^5$NkMgQ+2`9lk$bz4MolAfi$r2flsfPut+P3z
z2gzS?k`k=5dy@0zJZ({A0>~ZR`8PGZ(FN2?;7hnni?opy(0mV4kKq3RBmNG<i&5Df
zpF@^uCsns-EQSL<@EIrh2dg2Yl*V@u<ZO$%{X3KUbo2Y4X9Z7Kvh$Elo!=1Dhk14u
zJ9Xf_afOQ(ES6`I63!8w8LKN;SY8<6zvP*AmRfKXGbd6b*8)L_JX;bsWJEnSM9Ao6
z4#fR)!881lxzsr7#sqD!?R4tzJvWa1r0?N=PpqA%k`Y;&jcWuuU*dAz8@z*-qZn&p
zo!TYCGFNO-7kp}ElhI)EO^O#oVc2jk=6#-hv&rWj`@30p#5O^;Ami1AdEjFuhU{-K
z3C-}^ygYmpgi-j|4UXvPi%Til*ir8CL%obK($tT?37agkJeSIUk^cY(t+}^lt(o-3
zqx(7!ja8l}kz)dk-UiQpFfL7KUzvUs-KQQaI6miMU`rvAbptPaR_TmHV$S17HeZs=
zAWWBr-o+_)_iELv)<`uJBzDN+_Clh2mu}o7tJ%T{YAGjq6xp?6o}<%jC7NZkYmu19
z{G9xjBH3b5gMLu!<-xJJ`r7b-nQWuhO@*MIEt1V~JB%Hz1^!Turv-xY9XCRdy({qB
z>NC6aEjPt`U~k#y+dQ5{(6xA)GI%2JMav<!Sfd)3GGx*dn;xq*yJb)1xjo)KI{ldk
z%SRZ`d<c$|fROxy*nCXw!TvM&TMp*~HudnC18+0^b{X>M_cfan*@@@2bb;E!{6gWt
zrM#Sw*2AMcAYHe6ltUP>yN*JbJHem*Tk&6^3k;8N2e7Rc)j{tQ^RUY9Uv0E?AT@rL
z#0+l9N4V{lXBbDkWS6Np=#gy_R%D-vqI<BtZ`;Es;RES^<$jX?0LnjdLco*aKW7K~
zr~OHoig^h3^kV#j{kAhAJmVBc+wc;s%%74pQhZB6u#YZ>8MYCtWTFXU*=6iw+y4MI
zrbxDX2dic>Wy`as?!-GJEJiH6)1em{!tCzVq$67z5_@3A9i)F&6nbPG-B}q6({-Fk
zokDmZvdce?SV(fj)(*@!BzUm=ycvGIOufWBLh>2LExW4|BPp91qaoW3_RH2R?sN0u
zyTbc#(i8{m2MP2nNLw}uv!>X|I*yoQ-zDPp!TzjE)sv|tWo;aXNS;R|(t1L^$HZx6
zBxl?K411CnEYSf2IAqJORt#?BmDbJ^_5l&RZnB_gwRb=N0L}O(A{!ZuM?;MB$;q+^
zZKeMJBX0%YFB%UQK`Z+z{h#*8jKkE(pteLJdrw;IiN7WYvAaoWcVlE)bq(NSZ&MJ-
zVauruZ!*rJjK_jo9Z+Wzq%)2G0J7{d!aN3DuAPC@hFdkdU6<Hilf5HzZ5WtE@*$Tx
zNWIKEu<CB8oM!;pyR`206RuhdA!iT>i2lzk5WHiHvP`^)J0l6&B*RXx@j`r_hCt{^
zz`jPF+CDUbgHOhLHb~#?VKJOTlIg@2T`tS9bY;|eIC|p$0AI`YU0sMa_Fms`k%B+}
z0BDEU__naS&7-KrqVrfF(Iy8dJH04JrXcOR$R8v<Nt^aaW)t8q2(#4_*tRxZb<@kQ
z8H=x$+ia4oHfOus;!1Io{_sEI?6&MXc*0Jx{*mBiHQ-MiAbCnWVD!Q3hujlH-{BvW
z-%xoD$-@H4vXG9}OT`8P=n>m^gu`b^w9tlC6R7sdc^1`M2<*aCg=-a0>_d<tu>K_u
zU9Lmax6u(I5!qqYw`bWMuVw_@g!?~1m1_vgRFQ`M#7Fjd3n3^tgE$Xaq%hd@<_+%2
z3c%hX2q}>)uBM(#PmRAJ9!Z|L$0JF>wo(L7d>*VYH!LR!(SDap^OHCWC$1C9<h@<J
zkUrOiq(Q9HFRQlAPB(~m$p)_7bl+#hh-i;^N7~P5>#ia4Hd_eiVA;W}KeMjV+N>VO
z)?(eeGSM<oin^9be%03avoaEQX%RGe5PM)ffRfy@v5Umw3n?1xj%vT&$;YDzcQ1Z~
zR)_xphp>^|{{U=P`!H|GC2O11s{0^5h|+d@#PCA@0Qx|c>mUBz)rn4BTXzekyRtiX
zglOQ4U>!<g{1}2?BEi!e)`PKh89mnvv>SfXb9-e!7}l(5bY!v~w~SZF?kwqJ)Zx^>
zmdgPO7|O9%>4>m~9!b5=KH9QlxL86W#+%E3relqZumK-a0?=JHa6i;D$Xk-I8>=`&
z1#B3QkrlniOAaG4p>}Y~MWO6!Ip^W<6hwmgBJRk}Kxp7l$VYx0-T}dPE$SW~xICJl
z2?Pt@+a!~DkhX5@wr7O)JoxW-L$9-*qk%gDV#5%5wQh)lM190EZkY21LkZ!1P2^`%
z#z?ztT`rW|X+0*UT7K|78xY@6Usi$6#~sV+K^XlT4Ba94fKOIM*xR9h@VY(_aRVsF
z`D|o({{ZGz%sZ*W^RjL*hx-@}i0$9`8pH?w!?dt>VV5#TZHR^tj>FqD<I57y*#_9X
zvv+3foo`z{CP>4Wb!D^E;ohL&#s|0r{T75}MTLccrPNt5K^eBom+uBP->LMDbvzHc
zNi2>?a4RQfMrM%s`#k<nCz8p*F$jei;Iy*+AUCzN^$tT7xda!Ffs8m1!4EpNF7PyN
z?&L7>aTwzEF^^@pxOjTv^1;d3EyVSH-ZIIJ-67oFY>vw<--SK#XJ2PM6PI{Bfn>qK
zI<`X0ZI(Ah+@Q6B8v<-J$7j2U7i|tDdP*^OpwG+qPaz1#izTNS8ukvhlmodQPu|ho
zdzSgK(!c!QxEK%O!fF2ig^_TxOLUERUWu2X?Up8j+y4Oe4D}O}w2Q39676i3-3HE|
zs9cm`jWMEEyoKIxR$~7EAqHA|A{h{vc3IT8i8_op&wH%4d!2(1N&4l9>e@LzxsI}B
zfon3#QZo>#{K(Jd$Bn6$D?Y2NAzfYB!<3A+?(d$lu1rnW!Rzev`8@7hWCOSmSg{cY
zuv4zB8?aW{9%OB$n`dxA9(*SIn44qEv=ogou*@FXJ(i7yY_esrv1Ff#j_t>WF(^m5
z<pjn%ECdr6VrR)B8B4R=h}4AYNaGoDU(7?P>GpCtA=n+Gj;`IomJ1h0w|MYH$Nt^x
zIrkq({hR#~X*gi)KV>+igIb>PUBYXGSPril2c@EakV#{s8$VFkBHcg`SOL_NS-ty^
z=rTEyD_-3d(-u8lGt+*xv({V*SLI}f*g?`zM{$A7Hrvnk{iSsqv>_PG{_YA(FJW0@
z-J2Oc&+h9Yjci0bf%elKh`mBLi`TJAXSeyu>Uu*bxz=4%evo8~NGlsjyOnm{)QDwQ
z@(9Bc+XGpB5NYBCZ*`F1B_#-K6-Ex@7;(7hOeP;B$SqQNVoSC?jhYJ%Ch?Y8AIWXE
zf)Y_3Pj)8(bxq>!n0aY`;_bVq{=v&31-WTy4)Ne*HQR9D7TiV{!7F7v^lqtQ!TwXL
zVhaya$;W@#mT~X-9K86B&r$CP?1kx+Z2^&3yCdrk;x5geE`cA2Enl|88$7$HnbU$#
zTg493jP)#?K<vdwdBe2ra@$Mq?2ta%$JK~`vV%G>@-5Nv^2xm=<5&LxF1KqYC6C+v
zhQ!io+CrU-{e%JBcEsj{fJ4J>(TZoU6-Qv%_x{>8WdNNNo+J8zoNQUt;~(4*GbW_D
zK*#$J3+W{9JY=xjB4LN@^L#_zRLEk(xTW)XECqwNs0^FG(lH26l=ZN(E%r3wo3Uvw
z(O@$zFP4Xq_GSlBf&T!uaU2hSv+pM_!^(EHy8Ira2;?W=NXeLv7iom%9tX6om&dy+
zUto6nzdr$dl_`M)qrcs6VV}t5=f@Ow@a&7Ry;*lJa=<oJuF40j9TxBXy2ykX8$+U7
zG;EQVY@{yFcj`fRVsVe6&yWfel2$E(b{%oa%kGZj<G;(KpSDS45KLi5R!J2Y0YC!>
zj35i3E{@<`a50#W<*?~`mM4=SU`*;iY5xFgR(CO>E48PV-%{gZ5-lODX0SVi_Zy0E
zo$~61E=Fy%w$xw}z`H`n*exL$p}S@qU@aRTEt3wA5sscE_aGw(6S5d#X$`P!xiQi$
z{{T45cQVI4&DO-Q2;h7Dvdbrz;7&qEdD$JbFgB-I3n+OL&#Tjk{u6V%*jP(ga4Tib
zLVB8A5+}bu=i_sOjgBAWC*R?pFOu*24qjMf&g^y*vm4GrF4W$naIq+^tg?7g5ON^Q
zk@oA2*uXm7st9rFQ1>z2vo5a0vD<i&8J}0~-9as1>2_IyL=Hal%lx)z##xLAJr=fO
zosmY-!N*=E>lAI&{-OTKjV1M!brvV~z#Z9in5r8V$FnDW$%Dzsc8&P3>|3_{phzpG
zMJz$;I|zZ?fpql;io<*>x|w7q=n!Bm#Y}f;l5?r64v1}H$dw4zHJfdc#94<Ms(plg
zl`zA0V+kE{3?ANFBdZO2vKb5NI2Qi^ey5C{Hrw%&f(P3l?1+cR5JWaIWUj`<Ps3xg
zj*HZQzZVc9?%#}#X~((m=lp*H@w$Edar}qE@PEVQbUKb7tboQh#J}Ne?h{+S8n#6s
z-9#{wJB*gC+^g-|an@(4r?Ty@=K-S|Cl&j`G7I7V02cayO$3vJsl<O^XB;ci%CZ^L
zc6B{MK@aGc`|xxB0O1J2cc`!+-m(o@?`wUHocv~BR}F@QVV=)rep4Ue<X|=rP?&6;
zPMJSKL#zRuQ&j6PuuE?2!sMZ|z)<;Ert1L;GwK@L;$&pps8TE}*|1k_FZ`oFEI1vV
z7T;6CV=^)z7BT?q@*Iq|+3PHL8`cK-`5u2Ik+o)BSP}@^ygSq%-Xi#q-wh@a+z&Ca
z7dW1nA?ugmb`jHQtFkPL?XucVx8pA@mdxI*n>oK9WL`hPW2kKS^%4I751e_!%)Mpi
zU1L759_DZhGa*aOaRLrXJZcs~VDyM%19m`xVPE)<N!!(QMsX}PoKv`6E{MU#O@*!<
zSy4xKc3s-W1Z4|(%>MwM2Egwx!J8ls_Sq5dcc7JeL#LZVQz)ZDt+jna$G$Q5{-+y}
zvyb5b1i^c11f_^Q+myEDjxTw@_?!-Nhr2L!#g1#-%<bsD*$Wd6r&n{gxOlg#DUx8M
zD8zC_)P>iqXCKReri%fc*)44A5a8{)wQAU2)7zsyYRi@q-S|BIL#!J(Lu=bxG}VEe
z9ZeV14|uvJscGm$`ytzD?}Mg0nE8&cTt(IzS=#RK--dNF!rtZ>cZ5HfFCXNT9eh5)
zAMlQ`=MOQU-&1{CA`UrCmKrA=MtZv$W2hnBmP@K9*=L>v#;&Bbx>nDtvv>#ULn(DH
z7w%m;oe^&(*bI!FAtceo^h1+-fLNjb0EuV6`(}A*b#wAsV<D<%?`HL}LhdAp{3Qy{
z7O8HR`HkH9v#(9mIe<TRpN|&zMq31bZKp!@96&LV>F&szEtbHs?$>t57D-Gv^8%0_
zLg_C=uJ+i>Ik|Vm5Q|r6IR&tENu*+R$5ETxgGO9f7H#3h<n#F++l7(4KV|H<T^tT9
zDHm6OMC`EYFwPWHyF(=HJ=+u9Zp+WmGt@qe63iw(&OTc4Ci@7t3_mWdC6$<X%QKC&
zc7^LcPVd1zFU^kjzc03RgCTrnpWJNwEQxC*PF6R4NISKHS7?H0K|5U<&gZ^Z;R}ra
z0Ezzq$X3Ennh25{Bl9r76r7k5*@!Hz_;M32;4(pLdXP~d9&v%%{GQri7v&inuOsx>
zBkX`YkpBP&V;{w@Y@)`<``FQU5vOwT;{O18M&K*AO}R^@kbmsD=ctEPFC!jEc^YF6
z!V$467=K}>0N#>EcC$TRrT7_2p2d5&=II&R0X8T`6m=!2Va+6DNheEWu_tzjC$l!j
zLN@dm3uEroyCibZtfxh{fH(F4nL~s990d^wOn?+aME*A0ZMC);c?KThAak-wjruRm
zbc8Rq7Qd1>_+7?!XCS@F_~G?%Yx2N{JiTnrS!*S(UMv`S)Q7iX2ri71L@oI|9KTnu
zpIm%=3H!?|{{WDez6Y)X>1>k6mTp*gCtCnbdlBk&`G0{3Gr7VLi(nTy*q0&vv)XR$
zx`Z3txJg{$GF-hu6EP41Lgncb!9V{1ai!N5OW!(d1$X}doLhg47x=nHx8oFK9ozLJ
z>&yQDEtWmS+C>luJGL;7M-XL11Jr$<OFm9vG0laCywPG>)|_(fct)(dvEh0mcRk>=
zSW6;vE0$#_Vmz`3S87h=x)Bf%Yz3Bs!x3a+ubG&3fCTAbYX^+~09C2(*~g+%mfKE0
zuk$<MnIJmiA+aZLm;NRjYYajQ$<c?@6^Ib}SW9l12JMvOHho^E{hnJg?&^Gwp7??J
zErJQ?fe5y`PX{m6>OMVj@$e_;vdcf@+_zcs6SO6g$1f4uQ6*&DU`Hi4aSvY`O@9(W
z>hN%jcL+8EsnTWB4j|cJS~lIlVBFaJSqBR*dn`@o5;^c)iN?%uyqA;f->L9!io1(r
zy<ePU>$|%IQ&M@|syc!e5fCu27gwF{{eod3+{>dG(Y9-$kO)OdYA-X~Bs`aKE}dEs
z%a*YS>ga9xThibj?3d=)!ha_NEiEckyvqfbR{Zy(Gm(S^=#cdU?*9O902Xz7@Y)QR
zEDd7lWq)tfm2I_R;6s39z*z8S^cEHqw<EnBN<eTkl0&JW-M8tzN$^=QY@U&KW#mgv
z<A`3E*Dl<KPnYcS-;)0T^)AG-xd{{5ZJFJf{^@?Mi2nd{sqV|mZMWmB_T8Iid>uw~
zEs3qr`z<Xk{{WFT>3h}DDF#lYifpf`(Gw2CBRR#h<c4LZb}V*eB6K%Kle{4^cWf8g
z4D85ju$Z-X8za8)8ZjZ&zaZ;jtccYa?nHGI?aMG%Y+hPDHn=)iQp;(xI5;jne*XaE
z!rj2j>29NYkGJ{%0P`bYH=J<_Fwz@t@{4=l{#{!@^$P~u`amFAGVHUdtjN0#;otDL
zm~heyE3soaay433z$tVX2XJ*-q8`cOCm=8hfY$0Hy-8}$b(gG^qmV|8vS;o73%jCa
zg)Mu!IkAl(7Cx^|&kdg7#u6Y{pu)iAkjxhK{#my|42$EBdJF?EWJPNXu#oM6xW#n4
zLEw0sw{{1FZp9~baR{IDB=*6c%MW(jZMXl#04Wdw00II60s;a80s{d70000101+WE
zK~Z6G5P^}QAhE&GFyZj=K>ykR2mt{A0Y4Cyzj2B+D^H{-H^gdPO8p6N?T9rQhm^1+
zYvs8`dLCwImsM`DEAYMs91~fz!({{t8FBK*#Qb-0*Ts-~myBt@2Gpqp(-EdV9>WC@
znx<k7AldNPtoWNDV&EX(r^erd+z9AAzZ6Dafl_>YuD+8=vGKYtjl_04mx4W*rKj3t
zxCV)hmsiBjja9j`mZ4(DdH887<Iln79Q-j8Yze+&tU>{jSu^*Tw9lj)W{1I;h!JI>
z{63p7NCoW+Z-X&NP~<miKe||hF=d0IeWvl$-f7w+Hv}_`D{dQ`L=nRl3Kc8_ycK^N
zJ;iG(oaG=eOI={9JLc*PZ<MspE)gPFA!ZS;ft|RYXla<FNwuZC#dUd<1H`vd@q75j
ziw}yvP23EJpN`UIOs(9_Q0jo_apHnKp+d<6G^Ks!89x%p!bW#Ll(c0QU{W)9_^R5X
z)tgf8qA4xrE9osO^+QBU;$8*@zH03M00>O?7ObrRSQv1+lxyHqe89#Qb4wb)(^#G)
zv|jp{;fWL|-^SG6@nd;%Ee~*07Jx+3=3z>RpcskF5L2zou~aQ1?FpHS3q_0dGHArY
z*p`Of%pxy|SxPy~!+3;L#dj4J7wS-13S~$Q8G{r0g!*SO3rrA;q#(RE+_`o@FkO+h
zky|<SI=^z9w*{_ULaz^TIwqyebj@mKl1m{8F5c5n{6%s2MK~Deq9ocrrASfpFl`}O
zuy8|g9?3|gRIspJm|`obUoaxrp;qt|#&+BVL@TJ5;uXXhb-0UlhK=$^L=+4|qCPIA
z7Ig(*hyt|>3&gV-xCExyqmprR6Ot6RGXQ!ijL?)+K(t?S))HwPuqX!OmGj&Jgxnn(
zj+N02wM<0q!lg@a^B7u2fQC7k6}On{b@dmCxP>gX(5DbDV6C?dM;er05wew01xt8=
z_w@vXZeGhSB1{``0UR&}t+y;257ffLsGwbt(`Gw>N+_+|_WYnC%CJcABeNzZ!G}&|
z4rg4wUBKR$<P|H(PZAF{RBf){9wmbD97VL|<^iMBvEdHj5PiWf^oS_AP`gC4l?La&
zF{<|~+DiDiJeBb!GWHQoA5feN=6b&|LW6zLRD>0;5HD2VA8=m#@e{z@Gp9X5^DKJz
z1iQDyr+?gbUlDaklW){*hsGxDW&y2`@>B*Y3bH-Gc7%@VJ)!pmwWqml_+}o_Ksl&Y
z8q5=Ns3xN5f;kZZ1yeTw7{4i+D!Qp*Vlsnio+ix#WY?MES1Zas2}hj4*Y_$@h@|3e
zON407;M~*VuME^?EU{f8XsDwC*D%L%zM~v(%r#BCPc*Pw1b9fbR-PeQQ_Nw%1hAkT
zM#V`*gxX3kbAy-#(;OEAq+FF#CMHpo;yd`y5~95jMqBuIJ{F$kcvtaZ@C-yi+@`J?
zb)0-*R8FgCtwB_=12J+&v*w~}hvHSwB%x``EtP<5OjmN@fFcU$1uo*s_#$3ov*T}t
zwl0|4L5yv2F7S>moy6wVnvK0+79GaXscO#u0E~-E9mQ}|SlNTy_;n$vzl%^KMbzO9
z{{Vq*mPKwD$mUgq5vB1Q3~*Gv@k?q~nQUixvTv2W@$rNp)NBuprQz@kYc$R9vV2^s
z#4WP;U1{$t&I6g@m7kCizlD%Gfsrmn^BHd8j26F!>}UB$04dxOMIFmN4l|6sx{H_L
z4TzM!Wk$tJ4BszWi30*Sd=hqy!K6`9sM@X+Dk0TwQw^f;hhH04xv&{N0$p<(K70+Y
zPzo3miDr_Z2<^pBEYdT~!|>rX6i0DHh8l?ACNRvr3`CJ;EF>|dDn5UR3#2rTmoBPf
z7Biy>>A2VxwZO1TiPyrLv}a8)(3Givbm`3OOuC=>kA@Gq$}<<KQWj8JX%MW`*TEA~
zpuRAg^&c1?_L|Kjv6mqiii1}F00Ol={1z%zz9zZCBg#c?38_H$ScA0?w2Q?50L97~
zCB33*VNmC|Ip!;HTlhIl)WF)*s3g<l#B8NM5P3v(i5ezF%jwHsX?t~<O6rMVqV13&
zWliB%6b{Cr-j)DG7#5)l?&i?RfE+<5sc0_!!NA;iGfK!XvyJ$QRQgL~&jx51pk2k7
z_+#-KmG>1cAT(;>g>rzwnS(NF5xqc4@Jcbqs5E@V&QYkAj-aYB6{iRgUD$Z7z%<Q4
zdz3sqN`|HL2nqz}Fd61Gs1?iu4Shwh^9rM60+jw@q-ra1Gt@LVKnQFK0}jzEn>;~z
zGQ&1GmRQOwrH$<U%R1Dxa3_)*cid1hzJ)~FFkxWO(h5Ru8h3;NW%UiKM;%X4iE^-0
z5GaJhfvI5H6KMNP02DzE(W=zAG$aSa7pMWEVlTKT3ZqOnkKDusdxKEhEwn*aUCjZ5
zJAx5WeWUn+p#8?6FecXOAz`_e-NL+oQHB|SJRqA$MFSNJgb|`4!jKWk^DJ&SjID!E
zL}uI&DQ%IVVw8*AUu0YviEcA3Ha$QXWrwt=hn0xjrOXeaaH|?}eMY*}78X_}1pUJz
zU@VMRqBwhw+R+;&3%ZvIMS6#29W_Lypr=!yBGWv>V<;@wnaNrAJVY|N^)!vaNCD&b
z3;_m%0^oDzrDa1<Wt5}LRmVAMR|R>z!QFomfE=1c(k!dC04C)HTpBS9kkM3PoER}o
zL&P0O7LKLh(-JDx5J7?%jM~k^ydP569P(l<Mq_F);Oc7vvl@rD6G0Nn;!*^B#cdNv
z*D|i%)E1|sE1XhrWt(6;T)=pV#jfKVEVN1yPC=FCXspUN)NV*Ha|2qA*a^qLZ8M7)
zl(THFh~!R)X_#3YQE+u}EZpo!acGSO7%mK&ES9E)ltU>jdiIzlnCc?AfB;eGj1)oU
zre0)tl=UxO;$!(RTwj@I-<ZOA4ZQI^xN6|Co8U@@lOK;!n~TX&Db>YE)y06%s0I`-
zxkGkFqn7g)(1&ltTUbg}FrASB6S(E3Vnri{@s4HrK&JlyaGZoqrJO8_+K#2WN;dH*
z)S|>=burW<x`s+hsqB7ZtQb5-ZJ-pcBk%VtfZNQX5>pht)Hh<7FE}Bsu~M8qU?*_7
z#G!_u+_hc6G$pX5tVJP2ZHC|i(hkJ5<!<#bQp;j$3;@>dT4TFVuv>G9L^kc4r9jb$
z6Ihv!1x!H+YV`=bCD#NyV6TKhp)cZ40>6MzP%h=ti}fu`p=4ihT`7jk<BODbK&6;z
z;!?0XV5wqDtDu&QIfQb+^(d=~?m8H_)Tq7C9g?lFJH)>eDXt|3pTw{MnD{pJ5fM#t
z_lU<SPU(Se!dkBJ6=h}dDY~r7C0OHA2A=>JiAIu^--%>PQ{phhU<(!9RYn0?^)Y0r
zl>ls7Sgcb_UJT-@j0A9^qN*=xcOv?^a8evmEUd+0E0HP;yUa;-QiM_kHG7x~exnF1
zqa;yM+$j2q)_!9Z$a6Z-cQA&nzi<wcCfkjs8BbGBgyL@V7R7}y_C~Wv1;^?YY?ul!
zGshCqg~-NXYf}nc#X^_`ShxcXwF_n;xv#}QE<C_GMiR4$M`R6g1BM%1UQ_M{)>dLG
z;&HioQobP=l3VZuxL1Knl(O|N;A%#R^Da){f~xTXH$SW8d3<T`?GnS$0u5v3Q1$XC
zOj5=}Aan7t8FN<(AqJvJVzxnM2g1gppqSX>@bC!eO2cPJCWr+X)WCKaB~xN$_(6n_
zz6H&ulW4xk+&>OtcL$VGaWMgBGLRYp>K2@V;vCVlEMJsTC`!acK7Kaib*LsySzqjf
z(I~z34idc}Foy~Z)aD5Inp_E_+u+pK&v-`~LJHB1l`HZl0yF@CR@3AT5Yz$}+(e3}
z!4Md``0hMNf<GGwQMtGH{{W{iH~bcY$KoYsP+ZR}4~-K)OmRb3LJ01FM86EaCIL=m
zW?m&FBShaRC<gV+CZ#Lah%v<sFHrR}D*Bp+t^k%Rq4BTOc$7GT>U>q1GcMdJAewFs
zk<{T30fz2u_c=liemF{6OZ-7+<8Oy^XRn1!2L2$iaQOYu<x~|~W`ZsJ4eDL+(GQRu
zCKjn<X@;tyY%`%3My@C>1jG4&3te$C)#fU~r8S7696`xp#0QAQCNv3dD^RkF6LzDr
z2R!^xF?pQS3*@+=R@jCT+|JoO#MAJK72i>ETs$J~7>gksK`NN-xXV(e2H<n3jN&R{
zCvt-w_ZAc}3NQ#dXcqxKpK^ut=2eTt(Be3`Citq5QE<1o<ID+#At_ee!G_@GC=U{u
z#sa}m9wU2<=@OtWVvfjDPmx40)Eh3J0=ra3m_)n0$Hc_;f*CDwHkS&vS8&yFDM5sD
zdan>wyg+b3c|E~nQCygnqkVXdz{|{N1#fW`lE_WRxS*@3HA7O1I*&_H+`Fdb(PR^p
zyCYK-OJ#E5xn-+`TezMGK18vLBI(I5R^zc3eMQ-R(SqL5lYfbdfzt?~p5etpP+BJo
zqc|f_+%sp1zy~swl&!F@ain7q<2kl$K|>I3l{1!NC0!y{cLYAjtyLD5lNH`0WFssJ
zgF;+IYIve$O_OTTZ&HVdjPhbuu^6WzE7ZWmvNe3f?vzViaWXMjM^$1m0Z(yiJz*zu
z{5RCYFw(l7Vg}A-JGk%>tk<C~komH;QLac_9FYeKifY|W4k2#2d4NdwAyTazN&<&*
zFk&<<tJDrV)LkNnTE#}t23Q#@RHM#dXw<l;FsL_-OnTxaH7=W!az)S;9|4U5<`hUH
zVILCJ6hXOk0IHPgWU~ZYrlM3c)EjGwyMd<=2Cga8tieig0o<f97t$HAD_hLAN_(3H
z%Gp}t8>*;TSS?WsrazY8QC|Y>2C6U`N2X+kL||F*OgWc$d~_cLZHm{%Prz))Pr~h*
zd|-Qyh}a{d`<W8pRa%Ln;dHrWA_Osi9KVVy+)Dfk82%_(aVmUMXuL~~_XUY5+y>43
zF6B|5h=&h>fiZpsYP$HhoIW(eXTnnl#v*Zceg#yf3&Q^Z3NY?2kpymJJ|;7n;=t^2
zJhFiXri}inzG?W`@HV7rxC($P7c0p&1tdSkTS6^Y@pmv@p-s#~ll2u~g$GU{Wp@pu
z@4hCQ?hh<~w0MT*2pgm0yPLa($HN1}!a$`;xRKbD{1rvQRGxk!aSO?3$B_Bu_@D+e
z0~d*~FpD76^@(bmC9dGR8kcQNX{op15EO1Q(;WVCn#;_i@$SlBaTwu%9I6Gr5((y6
zvpKL!gJb5_6;?4r-~>#36ik`p;ziUhJ}9HO)!GfN3&dc|5EKVdrtuqMT;@kwQhXi%
z04eyNg0XI<QObNGqw%<R5YGq1Z)V{1AWXTK1MuK&@GJ1F-@yf2?jY_ET3m3YQ(@dn
z8k9M_#tLFwxCqc^9Yh7e?gTQ#@{-4bR@f#GZaK^YVNk}Q6EmX*qY!du5e%%#?=Tii
zgtbeSV#H{(AyTXqz`VQeY+hy%B{H}jV5rsKnawSw$48lR?D&D$vSUR-TrMDicG?wU
za+Ly$^JWbG(3&bBvp%C&NcV!MDXDH-g(62_S=4XhIZ%M5OVVMK-Q2Ci!8{QaSSOu>
zZclSni05%yyhIvg%q5Y1!{uevvt3RG4w%7)Ev<oRiF+lG2Qv5Obzv=X#R_skTxbg;
zF4#P+?jvI2-mr`pd4z24BC{B3;a<y$#Ha?A=ZXQ;1vr;>(AEng-%v{}#6~6<9wJ$+
zOIc+%X36$@o2Lv#t{_oLz4?h{aS>Fda}micy_mQKQ4OkMSywZRCn=d@2rN@<IGdL=
z)F94f=5BeVoUY(28I2{u{LwDSMvsVIqYVxs0GMN?xnrHcs|sMvwnp~~z*kAYRZcA?
zNkln}{9xA-^3~k4ab>H_WNh(F8CR&3EiH3#b+=+45EV>Ca+C|K!dWlkr7YddA$fhm
zokqa9TTyTpQ!u$k_b41dxQ7=LTSzK!d0}@<F4=b2D7hGe9n*sDqSdfvj(KKr0i-A(
z9Yztf&ZQ(}jqW&0?91JjU0Z;(XqBSg5pA$gYI6wXmoRF11Z$<#%RI$9mlqP*a)yY5
za>uEH;P{T@!iI4kak99jEr-CFkWj3@3e<uUiLqSij>n#6#l#>WT(ijY70}dZtJK3-
zVuhKVoJPJARoMY|C=|Hzf&)g*;2vUN4L~B=WqXXMt?>%nH&}=wQxLMw;5I>(6dSBX
z25?NGqk?yQe{>4VwanUQ79FuoLYGN(s0%}wmG7v6V)Gd7S>g(`9-^5IcLxm3vx$}&
zg1a3>7(ZwfcMYNex@)*l0w*$q4X{lM9hHZ;E{~)WBHm!2FSH7lUsAW+2I?cSmoZU{
z`k8Hj<c!EKiHChkJ7yyZUlAA*8Q}_E?gAFZ;3Y$~cULT6gCMDF9>{>S%mat0PzWH7
zvoU4|Y!!&&AOihDw}j#gQsb$Nu(IKqpEnTvkiau6#$3_dSG2RlYBnNNWY&6t7x**8
zgGOK>c$vkVb6}(@ZxC46VH;o~!pUJpf|JAuq4I#RUyTZ(&9JR6s3#?}d3eJW8fL?o
zfmXQ?Ox!SXJgOpWl?tRc22{1%b0!iLg9Eyn1j^IIz0x3O6AQVA!Zm`&Yy)u#rr>@C
z!NBthl-!|A5Y@~<%%nA#5roq73OOnu6u8A#z#TCbrCW+{_JKJw6Badcpj+PIcR4`&
zg|hFcp`1z$8hIiN!O0M9+y!LMH}L?LROTuw?y=k(uP|>is<f`|9zeHPVe%M~&!j~&
z%wleC!a0B|BFh-=Am)Bl-l<UAP_RtT6nZLnkL`%bOP8ujjqt?D1gxY1NFJlsD><4#
zUJhd0Scu`69UsJ_vR2z8(Zsz=TbS~ONENFuslyo3Em&m-G{!(_cFfttOKJx4RI#dG
zQPmthLm6Taw@(ocO!XXEKmz5G21cdJl3m8fCG`^UTx{7;Ibk?LfM2K}RmtjSb3UcC
zH*qT^Ms6tc9bCy<g~~#_@hNC-F=H~&!E&?<kAoY}NCwUsg4K)#Lt)HX%(HN4!n<Z$
z+c6RmOx*f>SS&3wQA{3H7h;z+@HI-B@?sT*Z7p7<T8Slw$*?$r$HI56P<&ewU>8wR
z+^qJ5fGli}t^j12nRtE!zYroC0mRws_&Qun!N<aAef)0{{ssw>UWx_$RY{I`W}6hl
ztgQ|pgzw{Zd}*4W8+>@$3;~~u;!FHgSSW-x7Yt#F0C@NS3EbcDOPwgRYzl~HL`IAy
zPD7dH_;k%!S~$&!{4%>U6%al-*O`?vf&63p{w0*mPmQMesyhAz^JGh{@8V+#d5ZUQ
z2dU<SQ29~>mzZgm=1`e0h+dMY5tnWOLyw9B)iLlfBUJ{L9GTG&T7xyjh9%`rN>I$*
z{7X-NfGJZc-vq#Vf&=&^qGH+ZfVQB6s^h%(@~*J>y3OH7<u&^F3y1D-_>I394=`D0
z(p7g!bVEdRqGat6v#OlT7g!h<W4T!2)Ecy6SvMuC<^ZnZcZg3^#^pmp5djq$o?kf1
zP?hjzs`#v45wR?GB^2d|>Zlu<@ha{lu*@{AM$2GvbBYaZ9ZHoHxV%kGTuM}Y57fL}
zL58NGu#6+50t1{ET}3D9EbgW*d6m)(3e2O5mbVUo>I$t!6?3^@BU;>OGpLs&>q`g|
z6}NK>9P@C!YFKjW6)5_iYKe(vKQ+pi6<{tqSlAVrV}ZrQszDGnG22ipMVvE14a+cB
zm}QMTd?XW`%p-%pfG`}~HsH7c#KvN?GM%Ui4l@d&NF^3^F;oZ*#jrA-;vn6|g|wXw
zOJJ1(m;E6b8FO$Tt;;eD_3<-~7=h6%3J&HRj%Ajo;#<k+nNSSIHp$e;3|DctM)vm`
zc(`=b6kCm?pCOkF8tS@0O53}NS`K$OC<6Zgtfke#w$~Ka{wnsf>R73D3O4~=O7$Ar
z$XJ!fHw}b`(yG4U<}aCFF{m<g5V2@7h*ew6q-Lsn^68ks<{NW@9hkERn6=ze+-Mb5
z4X<+{WWaD@&F*G}R7L7A6;%}izWyjoZth&tzU3|4b_B$yQ7YP%t1q~wtnL~&T54xz
z@lxmtsA9f)m#$^DV~JLaea|dCM_(5m!rj!i7_K{%uKYv;$m$4NhgC3*Koz*1wH0>1
z5YSqBnkmF~7+&GS`4C5$b%vtZ4t!5DJ{0ETYU*1SYBnmMlQjV|ad1G@N!%H5q*^gA
zRThBVj}aDbKN#Ine-U142*LO9<*yQsSTT#m?rID>f_|jwUBfu@n@|c`5mQ)8%`7ku
zKXXR@qk5*6)@3kTR~Q9o(=x`0^BY`T#R{BMP|}=BnQ7)MMsXUmh+->wl^nGzt>IwU
zXB+CDa01|Yg@+Fp3?1CKqf9m_f=xv{Oa=YL&2ccP>p83HWjM?X0#SjVkM;ZmuAm52
z66rgSKY)P+^3TCt6;{4DdXAqG755H(B^LAXtHNiS_}hp@1`#PW_;8-#nYGRT00y&W
zY54xHg)cl{`%c)438V2g9YKS4#8B>{Edw+)+4nI3hMR#FIc5w--eu0dOVsmN!(A=P
zwQhN(nS-~+r@xJZ;tY0`0jJ_Ho?ru$kA@Jypdy`+EutjYBk{c@nQFcae^<tBQWo_%
z_&gXdj7Qd#&L#1lkW6AZ?rLAm8*Rabfm?&pW_33f(=puc3qK1lF~Y*d<0QC^RNM%+
zbKY4DEUjE;B;;TQkwkmudPLF!%fx1;409ZhN5}ci;1wD{yM=+OPuTd>d|R1XKLba=
z(N36P9|=oQH!AyuLU;J_K0XDb2_q|+-i{zRTHLhU)?yl@V(KZ$D15UkUlEW}_?jN3
z--fi)v1vA1oiXHg#Z2Xx=+(T%fHZbQG2E;NUlx{PEP6%|G)l_O6u(~!Z^L_)z9+m_
z?rI@;7Us0&p0W5S50(K73{korsariu&m^?qc#g1@L780O+M*;3H3ZPOh;NOwaZvuL
zj1=v+43@#xDe}}!WrfKVi}*Da9K<-K0Avlq`uG54ekPwL&yH+$C^Y;*IM>CV5C)Qz
zSb2b^?CYpBB?h)|K}+WlPNj(rk!wyOMoe3PX$j_20X+~AN;d#NYoUsU?Hv<nSEYp3
zPAX(oL8uGUF{Y);XUgK0qwy^F1Id2n4iCh<1`I<w*VN=vQB$9Cg1=58Mxf6Uiwlkr
zW8i_A5Keb90DGUglG)q$0ayvCV<1XVNZou9RYlV>rqnW*5pKPpY%vc0qAbzHnXejO
zS&6%Xvp2R-8i=#={<u1Hz;cH1%^0~rNVWr0HwQDDjX6EcHyWT90n}^?dV&RRHF2ky
z;)>cX3^7YrQstcR#evJ_5jI~^u|+;$Q(KPG*F!jEtY%TD0XDC5B78tzYt&i`9P=#&
zlXn*2)uq(ssK#%ri?qQyfkZJ_I8y3uQN=^&Zj)HT>Bfnam^eencqK4~C{p5`w+4%K
z0N^fHscE5i@NVre;M@t!x0ROn00mpyDMUF%RD<GHxNt$6TT8%}MaZuK7`M9ZT-<Mk
z)EQ!#SkRMD+*yrT&$!h~T|%&|!yxwnXb6X8#59UZE`lSd=1Q<tTV$vtN$OIwmacQh
z+;-&Ga{*YCxG$D#4E!WaB}KLj8mBQW<*R~KVpunI1>3jWx=0>lG;FQSvUir?og5(I
z0+)vT!zBvx%);FVQ4Y(1VOWH2%l9bImk21_3cCZS4R#QFvlXgcI3*$@8H8p?vaF@9
zO;j5N5JMKM+|DQ&YYX=aLq*2jOy6&~%mX~f7{D5l)+21>5fFS}YBntT5}h>$!AH1Z
ze@GZdh@o#(G09747H(&N`(cEBXtYwL!9ZWRL8=c3P*)tq7Wzh#sOXrPML}$9D`ZT=
zQ6zeN!9rg|Ot;9U<_9Z?cS7{Rl~?IL;f4qYGA$#}B5ATQG;10mwsb7HJV7nj7Tn?E
zG_d5FSBNVoH<*kf*bG#Ibfbxz5S5{%XG};-6wvgY$dt|_V>y&RPzsMJZr{v9wp(}=
zGuRhQF=UsxpuiMDjoxJ^l%WW5xn<Wfqc~;xh@00Dc?1~NAOl$DP&acOf>~o!seJP;
zqH|EZzF-Py%g`*voDU{IOh|Z(vDhdrh*z%i$xe8Q@(EF=f$j<v#12RRrv5Y?EYlZQ
z_?KW@rB$+FSO9>aqD9QyD}qe4Rai%wr3nV+2>MORCqfW!5$Q`23UFX^VXeL3qF#q-
zx&0Bi%c0aX+Yecw^vBcq4Mj<(dlZk9ifJ7PH*7tj5D9PwK>CMG#p0cxbtwu91T8Yl
zaqLVTqMl_)g~1jCT-LIS7e?UCS4ltx7l=5nX9Z9haUIhrn4y7j3Ba!7M~V`AN){Lg
z9Z&uP2Q6jBvazEWsBj{H3JrC6oZdrPhUf|T&X3d;3oa{re+cdk%{Z4aNHt6Cf@pX!
zqg8lrXaOTv1Pu8v`iBKoqqsJFxQLP9%N7isi9gf-1IJx+Y_4I<8DnCu&3#qOnIZRm
zGqI4lLw((5ju10P<!;X0=BSK0VwGdc+1FjEluGH_@%#B3K9Bd~^Lc+>ujliXFFOEB
zA?ifTYXS9s*<oH#Y(!Q!`kLR<wblzNpat5sSTA)#zgx(1)A0N*6+2N@v{p&KmE7wb
zK59H+*PJMV_yNwl!L5S`wY31*+EQ@pgexLqca9OnBgdK)yiohtzt*zeWG-jHcY-lo
z$n0_p(;SKV{WoP?Msk@ZhdLhDcHxCNySue1)w_uTPjA)ht9rR@YJRG6=2HsYN+2z_
z?l=&Q%JO|CkWvPuK*tU{$t<Z(E)*Yoz{uZb+$+;3s6YHK!4+nG86wHLp^~*H?5Y#^
ztf+k}rRRYykH3xDz~m&TK>kqpoe25}uFztH)BW5=vJ%Qb)kd#QU1>2RO8;K4R@Ua+
zRTaP5Su^1hU}e`F0aIAIuFO|rbmR6KO}6`C*w?mgVk?ASyjBK2KBZnq^=HXBpPCmp
z*3mbC`&_PMWN>;?_f)v8a&D!%9KBPOi%fr4j`R*kS)S9f>3?5YP)?&b`us+#A3kwF
z3bLyYG+}9KH4--}px=gbm>y=h6~uMCH}^|FIWlsH(odl+-6Jsj-J^eo`ePVjIPZp`
z#PSmD4;{2=9Xd!NJ0<BfWAFsE=qt>dFt!zMT-uz!Eiqen0D?z@E!_SppUQE8b2`%R
zIkWTE0CYAQYlUQ@EyfKnlsp=&frur=m*(Ux5wpEA{}F8dE2UVv;XBpnbLCa^`|}|b
zPU<(pir>CbfjbxFZ90xm=ysvqDpI)9M8#vmGZt^A@umj1nxmL2F5SzWL@BZWm{=j8
z>Dki5o0v|~><OKN3UG13+#!nN;|~pfdFt2oMAh<J0rs9>#jM$5`nn7<o)>MmvCUO`
zXOxs=1W{q56}`pfMiovkyN=WX`7G$87Iyg;x;3vYGl){HSh<jfX4964EjiYvG3lNv
zi$6`9o$^CFF39gw-QeJ?asA8W@!BH+Ej`EH9$6A)%Nv20wDe2L(+DYw(vt`|!u~f@
zuf&~mOr18T?MUOd6{cLrZyad8tpHvv5ZuNKmXatJ9nS0-+KN?twy_v~aDz(SEimk2
zwrTd^el@xmp^Tk+W^Pl|ZR!syF7fABzUcH9WrJ>iWYuulwL}kcIr$W@%e^8&V`boQ
zb`9T>E*ktiD|-=h8AB($qVTqg9ipr^c#vYASq8IUxw=gv3=i@`%1il|KH&7uJOv5-
z{qe$+x(Z!?lC!bSu3Ae7PND1nuw1(%G|kai$1b}g4Er)2_``<yRA!ApNC}Gkw$GU4
z5q*BZ>rxji#s7|W?1qxyxaNu%*Gs58;n_>G+@M9NH%Ye5sy_ui%zn?8?yz0?3R96y
zZ>7SEd3_WjW~1<Sm*Xw8MKPMy3N#ZRpHQ0U_g@9Fu894%m!mYvJU4T`*`xwVQ-(G$
zUdGVvHvX>WqDy`)0~G=134t3nfYWaWkp=k=ksu0Li-U(Lw<nH%K=f8kxZSgL@~*mw
z=uaJBiQ?kK&Nwqeif|zBD^8Dk>LF)FZiEKX0r$u%M;Z1q(5Aj=@W55eq0*DY?-k4{
z04Qt~7H*sz1f{nf$_1rltLUo35Hedjt&uHROdn|unN>a$&QjUZ$8|0!pJD}sj}Di^
zl(aC#h24H$LivY8#l$;hpsZbS1vyrk1c{^D(3nkXQVbK}0qj;hn2=0T&O{jkg8NJy
zPxb#;y$Q^;gk5k&@35tg;3Qbo+_-_w4)qpcrrxrYsSk@f<aWMdt4zsfm}+ft?@C<x
z6YEgD@LTYRv}3jbm)cp)y^x~nidVX>F~G07tt1^Sy0&h5d3$IYhTO#WIDp<CJHPm|
zyz~+#nvK^$&P3^FHCvMi>t31QbzVEHwG!bZ8qf}T<7oH-`ZODIPiD(&EhdV?1vxFk
zuS<SV;uw=5>2&^cPCY1gDTmeC{i>j2_2XbK?pCa;<W!TUld0#HpBC5MetUTk7vf#U
z-?dpPm*849Q3e)-ZV#0c7lj(nJ$2eM$}7+aL&nWsh+EF;7-9yyJr#>cUTk_(8?J2r
zan<!E`dLsWZ6{cv(UVxA#P_TgBom-IO`bDZa`vP*m+O}v8Ds>8YDu)PX__t^_$+ol
zD5(UMnlD-R4|J*sUH6P*UC+bTjAcUuHe-qs<8@TZpW6@&)To4;7dc}^h=f_1+WHeg
z4v_;_b{ls>2M0S@PcN~k4%nJhI8L~=(9omTa>IRq$04)+&7|E_d^i^~-|N5&rv$l=
z=lDo%h*gjb2e!B>?a@OuImIgqHq_n_?nShFVo;yc)A3~0u@g=rodS6qE2V4;rPIIK
zS!@_0KHD~ZGeoS5sB|(7L3<nX9H85jFrUToKNB=b$sGd=nQh=rL4$rhDvR3IEZ4;?
zl1Wd3Nh=llIRVg{I_6>gN%Kh3c+57+`<Z#83l`3yO#N@t7Xsp0u}jWmH;WvLXXC3-
zcr44j!)?Y17lZrWtN-TuFO@2{CU=n@mF^ql%Kx!snX9F{%9mPM+#prI#?77ZrF#M@
z5;nb%#Zb3_f=Sl(p7(j(O-=-b)WrxWcgh8sx}3^(j%D+~Z#?%z(6K!9`mk@7*MUWH
zZq^SX>FQ6;v1T4|Q&i2aWIMlu5Y$rRFA6*737JiRO<gc4fJNH==K~*lfKzY0+Qr8b
zsz=T$;yKpeKt2e?HDHif2IOBbpqr9=A#<9vzcF6nN`76dd(0}`>J}JfxUWfJI{m<x
za;m}{x6{N>SDgyyn7M2{*2|92Pgcm0SY}9yhjmNF)OU+gaM$NbQ0yO<ez<x;v!CU0
zOmi-E)$uOP@$x07!=6K>3Nr{<=}F(y`Kn#oF|-kbPMyM<MSHz8_qKZ?mM*m_A>g={
zZn$?{A$p}oJ%YpCR?+#~=L-+EUEZcUY?3_Px6?&b0;%prz>43H#Gx}76i4zzC;;Er
z`$WZuJ>q@XJ^$On%YMf2V`sp^ZFf7OsH$!@PHK|jT|wQ~FKAj`)OrdQ9~94GQO@n_
zPAQY6;1I_e5wKQE7Yy_X@@p>cz(XkLM1_N5%poO^9r=^x*@=E>!Puee=)WvprXlLR
z)Rs}J@%=5o0KtfaXP2ZeioOZ+vp9ahAXNM8WY9mo)luIIkHjNnJo+MV%R{A#{F$~q
zoqdOdS>qsQ4)Iuar9>G5^O+gG)j{Y<G;Xs(gk~RH{(?2P*)&HFW0C6<po;I{*2t0O
zpOo4Ch2Clg%5kvxj*U*sO9X~HTz*6SGalOP@u^JDPOjo=60t|Sl@yDAP-79<t7_*>
zP;Bmx?0G))NK&Y&ID2Z7#^h%oGRuy=Xyi{5Y?8#Y53(yiMN6KP?RU3JZ#GBT@e(D=
zXW8qYm*^yrgTs%&3(Y%M_+$O1hdM!-_mCD|b<`lIgY$JR^*?w|Q4<k8`=E=uB90G`
zQHNXl%ly5ua$0u~4J)Kue6Qr3w*N94;XXfr`_RB+ecn4ST~q6B=Z>wNR$Yp=gHNA-
zcW%gZHZx!WIm`Dl;Dn+Be7)izdC=78NrFj9nkA7f|8BF4*(>(?4&}G>LMY{aR5?I>
zgSU9V3bzqMfe$1!(6ksYU0OvSl!51|=xKod(R`!FVK-v2>}>2R^4l@0E>Aj-Mo5t>
zU7Nj;@4+4v<X9cU27jo6e<Tuvq1^!I^gGc#Ab#>GT(MzG3<tzBpO`7;)S+3Tc?;XH
zY)=*0;4ijG_g5P5th>Z*C<O#%ZVDEPA{jdquCZAn1I)ppYtHVh-|Vdi?d{jIZAUrK
zpC1aYw9C|av>mZ?akS1q5WaLhBP?+5I<mmGDA*~Ds^i#|S$l!fcWY<-qwTLdGW(GS
zZ$$3F!5l`E^VVI37-Zn{ZEY`c;<<}8W;}L2!Q=_$$s^})&36RLK68W$Eb__k)Tsn4
zyEO6pGW#UL#<HYyYA~XMx}NbYszIDN)ADSUS`HIxzp`!wleqj<RqUd(R0V=L9bju^
zj8f(Z=7%0<67}CaN?=XpZA#O+6l|Cp+w<qy2<2RO%wK?G>KK%DIQY#Mcpp0h@%HA_
zm55Pfs7BnNdC%x9Yry!~`VPC=H4=&R^>g1jru`Yt%b{W;dnm@@mr=)~QdbYW56>mY
zKVWyv^R%T!6IPsaLOfy;1tXohMeYlNE?+ipT)}B5HT`F<y+AgYa$X?O`kIv{XQ{{8
zV%k+@p;PAK(fsg}1bWdbvGgnB9NXd?apr|WFkN{-osF|_(rXtmaITYe)2gtz2R4>a
zG2{WE<=M-L^6+iC$OFhY-!uWj&wQCJ5!Zf=u~(&XO8(|^XD^k0Le6dz)xym+UW@Ht
z&B7nYQG<>IMYz7Y(9>0L<s{s^HSi1F*X#n?^84cS66bc%)F;g$`z$e0xtq+(<u_WQ
zbloBjggI{ul^JJj&wEw@i%15Cs?8<EVmW~==Q-uBn9`s8USK^^@pt%?`!ao&Lz(}|
zRJc2V1CVU9!Y1nnEKd&g$_E}e-FEg^STK|{$}7X2cx7DamKref;C>lSgh8BAs<kba
zE{Euun}T+}9BRnkMSHw)upL#9cQGV3-sdh&Ng_n59`nII_LXtV24k){m9w>DiD=g^
z=HaG+pvzPCSh-KO)y_bKFy-1)uwc{#gPqkXW>ZL#V&M@LaQ+B|bsutU&z_?=QuhOO
zKk9kjp1W!8_6hZA!r0Q;VXt;pv3Ou(bmc-Ipv09k6(fO_enQyLym6mm;&TX6?qB@M
z>+JhgiKimsc>r{B10-oYf%K2CeO^&87N9T{ggqOKKmQ3LG#;u`naOf%>%S_WslOmw
z&rJJ^bAPOqi`mV`UORK6+bB^luM_s)YJb0p30PUYzyLR)L~=Hd1xyFJcdkmDgh%le
z@thg|$&d?%SuS@0v<nfc7aUjw1mo*!dfvCOz~#o;HuNH{RzB_9FB8eeLe<7@!XF|`
zU*0tFQe$|rM!D|4mssM`&+g~^TzT%JF`-5{U*4diR1J-iq-#zl!O!9NVEG>2;zWj+
zt(oZJpV|9~4SUrsfeHLUS#_4!1=1P@9=O3T_7$j=IyozVPEp~Ek*y5aQe7@Ns+MQo
ze5*SaR=PZLkRm~_*ewXHRo$SGZ8Py>UMC`KE*{K3aP%*Aq~&SUc{P<B1-E<Hj7zI(
zS<*Ymp;i@z;p11DJ$D#S?Ea;IwsQG=|H>;)J1@H85zbl#-PG@{26{Tg>jq4gr}a(g
zmkr9kt-T^vuGupE0TnP$aYu`;&~z8ssi||vl1}q6zngNvnT$5O%|oZwvE84!XSnnI
zN^j=sUxx{(|3hR;pNYqjCX-cU*6Yj*IoCR1y~p;PT)59FPGE(uij%V8*c@}@cHm*7
zF=|gAW3GY}EAyJ8rA;WYHf?jLDeD|WD%Tawe`c1kTfT{PtHa-GSQB78tTl)gICY^(
zOQzqJy)fNOTDIcspSs1?DVgJ|isw`8lEYIN?KnZbRFjvUQ2G+8#pUZwo&uNpwoE}C
zJoZZVzN29nvB+AyA<rf44PI;oo}|Xkrjq`lcPhC0EWB(wLd41)>s0PEH6B7a#{FtL
zbVLB%LkVK1S!t~s5p(hMJ{&R|DRn=u*uea6eMC{J<$rpbhs{a^brek<r**;Ze)T)H
z=*Lm#-UUJIto)72bRI3SoSd&NiAi^4@xTjvb_o5>eo>ppGO!@Y@l}08@&GANz)Imp
zW%6R~nw15ybwgAVKWpcOEHeif{}B+%wsgTmKYf3vnk5E=dFcEr+TWqyM13n-gAAtl
z3f|tcg4N&wdoIr^(`xnhEE%(WX!MX(spOHHSEh_zE`+_o)xgOJ)9-aXYs6<Xr}mu`
z(Nq2!w}D)pG}D!tZCHl7_Xc7sCQx~es^q`sb}247&qJ^KP$M5DZVCKC`cdJmvuxH3
zsyZ*npKfceIzhNCpRTQ?0#upM&jCw%r+JsE^{hx_qYW=PQqweq`mQ!pZ>R3m3rc-D
z3{9hlsgw1Cy(?zqCH1<hSwlf4%O;=qS2u1v9uN-N+^{1sR~^%8MU#poeWVl%pl^$~
zqGYx=UFNJ*ZVTInsBTD@KL<<3L$h!z6Ai2?%=7+i&A%=2?lDK|Ygr9tAnq(x*SyjQ
z(X%nn##9q_cN=w%cEnDYK7^WFx_2UUu<&O>p4>DBu{^4|e(DNVUVMxwo4Xbd7ES6s
zUwyqv1aV`~7W_c_j^ei%s~^rxQ{WL?XcSq<t0KHHd@P}@nn+lfCk{G#7@n^0v3{uM
zmdXe=QS@jHc&5I)YdMEOqc-Vy+DPDu8%EHHE$1scJdM{%E!!eXfII;ZX1@+b=Le4)
zVypSkAd#+cD%_#5(A=NQf&N!OXmiAhJfc#07!MW5U+tDe0P~{R5RVDxAi!8wU^0Bn
zulOJnXsKLzc?xJj(~PLE^R=jDPpSOslPcFdO*=vRdqb}1=NRh6RyCXozdI(mY@%C~
z2Q+#5r~-hED1_rZSw1P%4zz|tG_CsC*cT(%8fWXzvX!6m$b!iT^_jX%T?@LSh`S&<
zN=?{!xpjBP-dw#S<#aJUy4M+f^Za5sXI9X>MxLpXqEw{FqWIG(wtpP}p|uc_hR}G$
z0qSbB{fWph>|MrxIM%EOB!#0#(<(4I>f0;f7^-N@;{a11FiW$Jxp#od9VGY4(N491
zxmk!`?M`IW?l;j-in1d1CB0j58Ft!Fg%OWo@3Z!N&N=QX>?*qfgLR`2MgN8gzhpJ&
zvpE|F_HD4=4OFaa874q3s5`OMC}pwaYIa?&O`UkIEi`zUomC^~DvMSKAmWX%W}i8V
zLTLLI#3^NTfnhYO<3zbGOTGMX)myMXCH6!$^`uNT!NsLsZVWto4{a8(#4Wg>$G~J6
z!ZUvE)H=pNF`_*2eVP;TuIk>1Ibr_ki?RlkdY9Iq#~Ti|(GXT#x8)L4zBbxKx_X<U
zE1}67Vy0Njm%&{5Rc50S5wBu#nIIpgcjOoJ(5V=>Y&ViCm>H7iyA@kt2_U)VnQ_I7
zcocbLbWfGmLPT{8nTAu_cZ_*h0iTu9f4(w=Nr~y27>Z}^@Q)UczlH)9t25Rzn=pWh
zy6@$cypFjW;FoG#$k11hx(%)Qn)>!TZ6SnTrX>Dwe0RGijs7w}&tVzsa@K_lVNqf{
z<KCSIRPbku)ZBt8j|A-fw&kBSp%0H~fOoXp-}sn=KEkgbcw1MO-D=SG=F6~&HaEhn
zp{vixxiDZ7=|MnSkeoB0h;0W%$16{NsC=CNvi1>zSjRn?!!Zj9)f?v?wRA6Awn_ih
z1nWv9Y&nt5+LlDG8m6abszS*wj|Ks%TGHJThX$ELK3k(X7CAgk{h$Ax0caG=W>o4p
z-g~z0aW|7iP6*dc@zjXe?ex8>&@-}JS#iGyb?ZTjnKS;&iw6Q^w}7b4sUX1z%zrXv
z2P*P{1Zmy38ek3wcGI0t(O%J9TF^Nw?#5c|s0lIDZK22A1^bK0WG*8E!~>{y*t<8H
zaVjjwy^gDI-#DFi_5CHR$+c5*TW=N!wX8|eo<k+EfaXMsP=5!?m)&^06~2|ut<Zuv
z^2%TTBM&5DdkK|FZ@~Ae@qo%NF3OQQ*Fxpz5=Fep5PQ+4^mQ*i)!wGz?6*3WgvK!`
zKUg;Fcj^sljJ8?I%ANCLo|x#m8Jpwhv8cGI+zN-QVPQcqqMInD#Y>5Pg%@e|K`NW1
zTEOrY<<`w89szH&2ir;t+)*jeLsiJ>>P4G6Ei4yUd^K+hj1~{hMAw(S&G_`aGT|_`
zsWL4ji2s$~K69gdR72|Qst~AeO8vB5VHc}bptycssm1DZflV>=JS5*DNE?C`<7^sp
z8K&HB8V}UShlw(S#OCk8SXtTuc&IIJ{V2bz)-#NUjN=HGUC|7VpF9V!Q5;LZ*_TuL
z$bu!aDw_vF_g%ep<PLpZXXaPO`#+Z2SfRq!kGF&PRBqp(>ry%u#qDNS1C}Htg~U*!
z{8bh>I~DTBh~!UBw*?PW+T8-91%l<|jc)DFzV-`9P%-z>WLS==s&@*PyQ5Y6#svn#
zgP9w!`LCQlEN?T4wdEO74oA%gqR)P`bZukldLOkCV-Co#f|1qmL{xqGPT&>Prt7$<
z@exFV?hZL}EE+M*skj_AyIDY0uZMN$4|z2P4L9m^&C|XBxETq33u30Jq5RL-xg608
z#F{&l;si_Yn>Kc1LB>F)Cd<ICe8zY5Sz@JamV4RnQF%P)AL0`v)xZERZSgS(Yz~Te
zG8x!zQwUc35*zKqz)PEsWpSSkJUs~1u*s7GIQj+I(PvZ`H+_*z>T)vgaQP^jr;19m
z>H%4{K`Y)qBqRm+e<5!_Rt)+?k0*RK{~;1Npqf#dmUHCAcN>}KWBC<I%)>{k1xz0I
zQSD+Z8eaxoDX%1O4ctn23pl;|J6!K`ztR^|xE0dGVF|)WnToV225y2O+CfaM_UBu&
zW$Q9>0*%8&m#|SW{@RD@z9srHD^u`)O%z<<K}+Nx4sy&V@3C(9=uWxO?R?fL4ReWm
z>YT!5lYO?o`crL^C3haIvD~TJL_$1X_J>C}42pNRI&fZ`2={)$)C_!@oRNj4OssuB
z+}?Tls;MP<9m`odx5|O|Re33#{(x_Nka80ibB|kYOmu^dZDc5wMf0pWH={2%&s)&F
z(A|(#zCLbj(Fm3M=blMTrqd6d(Qg?XaT6CC+)#eaBA8#5e3*Lg6F5zD?E=lzE&r9^
z9n}Va#J!StV^v>;FwNUyz#O--8)>}KTak*4xYMDS$s^t;ahly6Dn3(N4;*cfztt<R
zRwh@db{m*8e~9Id@AwO4?C=@fg6bTxT)wiUn^_8yu3+1C+tM|sam7tCf&gA-Fb&h%
zAOUHY7Pz`ROQh;!n6EnQ+YU-svMNuxj0ja1bN57YA=ziNCZ*^uo)%W5tz@L@KVZTV
zSSCYBKjZU3tqPDFV29FHrvt%(HKuO>iHkvdYJbMOvA1N~<3$G6$y>$;oSfuLDdLcc
zpV%c?L1Ax6A~+rZlIyB?Hm9YuK-_U~NtK!*xM~XNNXXu<EL~FmP<c;Q+TiwB(TD$P
zrUwM5X_ot+bt1+-Tb?U62znE(SMPp*7!}C3FMv$JQ%=_&s+xFTuJ|0p;Om6XR=BGk
zeaS`oT%{xNYhgKCpUrf{UBwNwfCL|3a(Rw#@u|dtceU-P&od!vL9BA;+hf2<rc9p=
zNo9#?|Cj}}__#1`yly|pC5;3y&!21rl}Tf^&7Qo2k~H*CM3RqAzKVeAia4>S-(fO0
zmM;I0JG@Mq4>S1X)79NLt%-|llXHoR!44^9={B}5z8Uvd61Cx6$bffh`6}wkP}T9K
zp_Y-#8Ik-CZKNqqDO1{VdGdiLQ7~*}{5)zToa6&}E*vXLo>}-&$g3k|K@yalnJy22
zbZr!1<i%vz)Ro$`>C)gVoz@G}*CmX-V{=vht6a_DmwkP($i`F6XkdFUKr3$T;?Z|7
zt}G8%<f1mkTBHv|n`vR@0QD6&+AR@C|BZN?!<xyi)g$-I_^m^3YCx0`$RMlAE@Pu>
z-{FnsIx)Kr3?>J@7vy+2&zSN2r)QTrr}TOz*g^X@+VQej>6Zf|o7bU9<FD@3jqx<)
zZkka$=08*pZ#b;{lO^<_Qi{#7N3Pgi&18A8sZ9NR&2PI=OezNO(O{dnFf)5zAlK<F
z3iAbVOAc817<#7%iDA_JqeoKDlLY$G-bJGpl*pHDkUv-kUIvR$B!!BdZtz?KXh}HD
zsM6}F3)E})Qdp3h+GF|8lHL+-(VRx*%4Wjf?V@e_f{o{DWk+5jx6tZ^{SGuLie!Ot
zYK%S5?O*5C_0(+T7Xr-+<H@Yup>Ld6Unx$pbB7Cp$TMsELqtp5XjOXQhUGh9`sK@f
ziGp6y$;+aVphP;T?n6>eNtZVWC|Afumbr%jScFYQn*-S$V8s`kzknktu<Wt%Morf~
z%js~3ZzdhHn;gxa@pc<H66szdK(4cy%18Ozj9r8X@7rYC<B=@pl-F(Jkv`^GNa?76
z6T&;YIhb;#9kr~HnF2hOuS4ClMXLnf3$!$=n*%qX`^AU<j75KZ+>^zgq<`SOkRzyO
z>2|=;xY|Z%lgxfQw+?b|WSj2srA7FpF8A~czAdK(<m9q~7|B3m+Fh1WE1rhzIjn<z
z0V3DJg7cx{0PDt$2-(S5gYv^X>yb?B#Y9dU>N)GPQ>b1W(U7Mw&~h~|q~l*H`S+7j
z06#3GqoHvd;+^-fbb!RG_}sz82D5X%gqZ16&d6)M{WH^Y>rp90=wn9ZQP@2HR@ZH&
zwd$d0t_C5vIh^Mx&|hfl>5h1-q!!pl0C}%#{teTe(|OD&eJME<65vjl7d935=${jP
zDew9h>+^VF;(06Q{Ec`{h-&{(_ozIP<tta3e7uM?6TPrpMx9HlQjO)&1^}32t_-1;
z(hC`7#iEpTYIQhoEA2xph^5n>dvMK(cjOWYIMvNQm#cQM8NRGSexI~TjYFHa7Ul$X
z|Cg5DfhH`4gmR;#r=gk~Tpyy-M`I2>#$Jlw^=?bGVe%B&hRUuL+HJvqa0rclzG*&K
zIC67b%y;ceUgX(+k<uNngi~_nExE-aNCv!(YHXVw1!(vWs3O?p7W6?wXj`l*Q8dzz
z2g<hAa?;Q`$JB@HYCi4p$+w%pYFZg(uTp-kb_R8gKeFl{Mg$xN76|4>Jeq4&c0IHi
zKOc}kb0du?v($x_X|T7TO@LoFP#a2^(P6Jpq4hQ#V#JDdz;I3_hHoRGIP`TuIct31
z#Mr|P;UMj!drP-3)&`bO=--ddV0P|G=;4({U^2n2)8rpbY!CI*yX0^j!0*_41&7aA
zs9{>~eMiA8eW~9T>bG<&V^Ng%+Zq2lPBhE$O}@AssdP)=L+bd<Z%;BT1l1#WVmR<P
z6bI6Rh?T;|7&1bT2s6`q%kKdoq7VHJRS%IHYehpOpaYv6qn}QQ5~kJV+m@{R%;AZ~
zSYKzok)o&HtrJi62%4CM_Nk6$0eS~CJP|=Ewgi=xfUi=3WBo`^R8%m)W%d9l+DkF@
zwVS@f`23!bfIkeWsCj{8_Ztdw@)wRG*U|m17Z0bGGN0AECYK3lp+3Owq~x0+<|e!=
zuyc4VRTj;303#K3G8n}(#}ISI#F-cC;HCu~oXbu1rX9CI55WHI3wi&zb07M*VHKQ4
zx<U=VQTx`3FhyRtEelr8@`o}fCr&})nxKyG_)4lE{6NeF_?Td|irZ)VK8=l~n`}W!
zb&t>lc{uc{L84I6W2J15BE@$F=_TX>n?T<wQOSWI>oabfJ$qG7RHH9eccojT3nz(c
zSD|Dl3f<SEAEv_cU(tJBc2qRZ2~e#0QWvgG4v&`JwRpyDb?ciLuqY${T!mC4tLbP#
ziv~|s*0RPsefctZb#?iATu>BUZBMUA?toiI&}FAYiKs?`r~AR@WxIfuoX;qv+)zt-
znHM>VrJir-ON;E?$CXhj%@I`DL+YPSN#&xCYEqLQX`n-O9YWU&!Pnh(3?+!gW_MC0
zMo$x4rWtHBz#NBhTS*Q&W2ELx+6eN2XGX+Q*ZmHje;w>s)7C0-csr?+PrECt=*)9M
z2V6H8<`t~}*dIdB;PvP?l3!VS-fCU!)i~C#_-{B%>@<JwFHg}hNzj9##9|30CGI5K
zDDHk_UF4cXoTAqt>;-dOtOLI->?)5uCmf%5Dt!Up7fO$jdgcndd*ux}PuWPGe|K@x
z=hd@b@EI3%U3&-KUD^D)zMJ*#P4riGV-Pe$NmYz#G4~JaPQ-86AbCQvVtjI>NQC=9
zn<cz*ki056^zpw+{>3%4Bm?I5GqXkLWs8}3N2*8Pj`s)y`rI#|j<=N9QvgJ6%aMDP
z9_1ASHqFj!w@+86YaeL|QK@T-F<tNc->Fi43q}ki{eoo4e8~8RtlURM+foxDkI&t4
z%I?|gm_E-}=Xa@IC(MI@ErS6-**?7DXa1GYa_e*_Jq1RE9n*CMJXrf$owdvz>1}Hx
z>fYId{=PI+!70KLux;z5b()>BRr+Vb3X_~obH%z$G{$wz+QiK|RQCda=NxRVY3VLw
z>>e++TGUb76}KcR6JpooN7oYwA390A@&?B14B+IBtDt+3OT=6L2F^>^Ir!^LI;Xy?
z7ulql=f7mqR!oT;`QF7lZUETkcqRR1@K%2Ik)lULF4;?s;Kjki-C#T*R*O5czNmBE
zk+$*W-6~H6j&E~S<l34hNVN@eAr0CxKwP{oRwqF)sdd$BP+J?8<^p&^?b+2VviP#2
z0QJWB=OCYg*Paft<3re`g_8TwZGa8XARE%ZY@-zno9Z*G(bMvt%Yjcm4MB<Q-*DT?
z@H_ubc_`8&*RIQ>>L1PS@CKbc+V~*v`M99|3zZp#={o|KV`8XNgyX*ld?kT*O-9l>
z&_X1(t5sPr!pF(I?R;PY*Ch(nl^$wT79c*Ej$w3nKMMrzoniH9x^fa8h#fusUcvA6
zv%7q2K#b<CdY7V5aqY_yue|G>+gRtmWNUM|J44E6d@NKT(GkO-lzac&jhBAusv>v}
zYAXnA$|=Hm>+*#!{~|v~4u`6e(<y0p<%5xkFB}raJlx6)7E@JIbqZ1abfGXc=;H8!
z<HsBW5{?6YFrcDfqNyqOn$P&`PfAle+KA`!^oD}VYpIKY094pc$lo0o(Xj#bsPpd@
z1n((Ffi09Q_&e7%en43p0?f&;lnGFwVjV^X#GhatR!&n|ZI<pS@DWcBk#vOfsmr=;
zCMugO<jvNFGLvd1TXx)KE2U`^&8v>GVris~Gg_+UAdvK1KJ%zxuRd&&ZNlu_^V%<K
ztP331+Ujy~&k%|i_QxD|)GwK~u!Yv&!w}1zB+nOsF-|<sU)CBf)5bn<VqGCeJCgG4
z=nhtMimeOq`4!}rI&8DMEq!^~d3F_SDW1v8H6d*eS#5EgnNrS{HL&s(-59yQ1NU`#
zTE!d`Dchu2lGQLpe|0Nj%3jM^P)!G!QgU%G524$k8|bFN9JvO5Ee-OZ(=0lmV&1`-
z8uT|S%u7sDmUpA&wGEx^x!RY?_u0J)uFk{sfqMZxP8p9TL#xfOIW8l)rA2^)$Up6l
z5Qhh$LCled;w{;^G|80C&+;HdtMo)C`*4MI;i_<5;;4e-{G_>9Wvv>y?GDqDiH{eA
z@_S^jjOKW*y?+j;q3_NdUd?W!z&YBAz2Vg=+li9z#Xtoyr1z9u7??B8q;gj=;O(tI
z(Yl**Lf$p%Z2yHTX&7FZs|A5FAFuPW)T+78b<v&<m0v->lg1c@yuuL0&JDY@S0?_0
zt}i{?ls9e+JlySR<})gsD}sbPQVc(DXFA3SNEae11IE;_hwfX%Iub%eLY6V&h8Mv;
zj9!K0?7R=1qZ^p+`-m(VQZ*+!1HX&jwNn_S>0a-4G5K|&Q)Ub3(7SV0jr3D%Hn}S2
zVFvi4x(pOeoAfa)TWN`|OR#vG!!(<y#L^W6!U<vQrQ);KkcoTdhRSxEm`w>W@S?^`
zt&FC2x1O3E?g@8lvNXP49igI}hU{828cTT=J<}_V5PgCQQ1a#B18(AcS8iXKaG%rc
zY^SPZuHiE8iJJ$I!u^7hu40;5i8bu(l{Q?iypLbq9S4D`akbHR#lp=kNaH~pv#UN0
zKuG-oHBUr@#++km(+uzoa4%&EROG8b#Fo05e0#{DE8A4?vv5*F^&#nQZ|F}xW@O-a
z5$u}!j%?(EOoAKNsz-HzPt0#iH1dsuDeJI4@nefUHrq{vS+Aq(RrbB%x<IUcn%5{(
z_j3qCJm=9gn{sNc9)AgV|6NScwHvMeP*|C?x#WV!%)v2be9cHPHO`Zsgs9-Aa`5#V
z7_jU>F1}Xx`u3i0+AY_C?FtM?_znVks{gi732tq|iA(52#7A0Kgkc#9%T2KTEEj>s
zVB0TR8j;Pl8s`sO9B&<{t?~)YD0oojc86waa46M=GkMFt>|INd&gLjNr%}a#b)K-~
zT!>o6!N<ot;1;_mW7rJOsL2g1e}=q5ncr1H`&b))>5042zb5qFEms`xh_*qtTX9@T
z`3HlnYuPcg30$H_mon`n^8@+A<5|ugQ|KlAIEt`CqF_0}%xUPtR~5)DExxS}<<k9?
z-Ux9IJ}DZ(-=mO?44nCFHfRev^7Fvj@0SrabrYpi{R(^@7w9RcFyGQ!&p3cQv%Vmj
z-eoEbFmosYw<#-7?G`$JmFLs@GK+GA>=(9!pxvxvPR@yFJD@bJIi`h9X-?wvg*jE}
z<Afrgzb;VZxO1b;!7$7G?!^CC;ssd|gKG7^=v1`lvrQAFD$SPyO2*kpuH1^xrmJ|T
zAxgZ&_Y+$TdsacBN?BF<dtbT>)S+jHj*x5eIMNQ}_--8(+l+(16zbn-z2vY|FOWU)
z3z|__D+6_Q4E;%>-NZ`=3E97{ts7XV<5M+#t*YvoFkM;l{NKeJFc<KRvR*C^v9M`3
zo1k<4c)aC2aPJ|tKHH2m&JC20p<_Ns5YE5SGA6Xo{kANMq-&+yk-k~mMM#)z=rP!R
zOLoeYp9i6am@mb&9sJ;3yn*Tcvecy#(M8+JtOK~3YB?yWh~D+zQs9ngR{KBaB(^C}
z6&Aal>v@gC+K``R7p`S*jJpfVU!|45+6r#IlaIcnh6%SIjt4Gnn6~_E>VDJrj{~o`
z$R=ll*KPBT1S<eWk8-z2seZ)Yu&MlJJ_WFTs3DSgToC2(O>KDA&JKQ#TZO3(oeLti
zu=VrK#mlz07lpw*Ru~Yi(>$ApJAUg)MK{uRfbODGyHO%pqUyLPLy{%8q)`2x-d^xW
z_AJXh4jsbpqV3AoUSm0RpT>*C$H9r`f<M=J&}85XfL=Ox+0oWrEh~pdd>QJ!8Q7;!
zhC-GF#-%58(mH%nZDK;bO!VF%7FAYsbHTBFZL#7%vVd;`^N3;>#<%BK-&nGzyX@6R
z?$@rl^c25ieX;ROqQarWqV-OOlB>A=mLwcM(dFVV_yol*Vvv+^MZ$=^ys>VT&B5qI
zM9;N}ewywo;mX6Z_bvNT6c7EYa(c~UxEf)Sy>rW(ryeCWS<M!GJ-|&HS*^T*)E`RA
zAc(LGNDyE13_WNc!gIV=c88>{Q;tSZpUFWPPOd<kmzo9F95!2&4!uhEBGa=eY^fG|
zNd#8R(1Dd2P#&WZo0j2f)i@SPA$ZNB`!kGdCC#p)0gkKZ_&{nOJ0s+Gv`Q~Zx$*|y
zSsS13nqUDKB<^sE8n^Rd+mvPFEKcR;A6<5gXGo)mQ_|SW(OYcHxn}XZ@}l;YEh512
zUs-CIqz48b96nhFCU?TChXRT}X^z_>U>{^1#W#jSq{a|VrU5VTfW@Mwe1tqH(HK-Q
zS|8)j6w75s^~Ssw$A{S73gvDQ`4+X$^_)I9G>!)%faf*${kr8*&nS<wlscC<x^_6)
zYa$qYD*4B%zTX;k_a1`iuyh79Vy#0TdG~91NGE;_&t54CbM)>L%G0Ettc?cPzZ;4O
zYAz4Ya111pS)O|n#V+~<VmX4T2VI|FL0yu!>te3v#WX)0N@E8JL1y>M1PW}=#~Z=2
zecmS(x)+Ij{J<r+dv!}#aLTmnrd3GK5}ADYhs3hZhEb>&&?iW+Hlsk8%nNkj^#I@L
z=G^&)kVx}dw{B#ao0Bp9V^bTyiv&48lkozvlXz2g0SM3cB|^^S*)3O)yP`icox1<4
zx`uwS$Ys8-v8ImP7rJKFd!TmnFvub47}%1Oe)&Th$a2=4i&u7!GoQ^2uKDqrW(&A&
zsyShU&FBG<KFaz6n5a^zZKSCE*0UE`FInerz3R~M;wV&@+S=^wH!2Hf)9@|_Hl33G
zu>CBnGfSUifj+pSx}tt^NiC<&-xyjL?(6eWSXjlTK7|UDYHc$6ry+~{w-ce%;WS*9
zr4y)Cr|p7_jT+8R`=;Aco(?K^N=Rg@4ae?CY<=pBh@ELAAU12J0GmW$c}^w&?s);2
z%VjT(yt4q-l~;BMch$?P9@w@~G&=}_nmo9!byg{>2L+Y?m$hn2ee1NuRA!M9o|Mqe
z>Zu*r#O&3~vpG_|y?vgQMSZ8+Q@mQLh%?UweJx{treRH(;|_^2#6q?4diDDMx=(=K
zJk;jZTZ-;wl-H*juj}niHWHeD=DZ`?=+2nx3ueXnMpIsTgj1FJ^)<}dFfv%VK{4Li
z7uHrL`YsZQze~5mZ@(Umvq{49cDsE?CCtCs;9Q94@lY?^FzD>t;jDS7bD&{~U3Qo(
z8OLc1RB>tfqs1B<<wL}?%Cnouvd9A`;*Xp_Hw(KTsz{?Acc6Y-g||l7>5k~0LUa9t
z(psO9{r3a}u*~G_Gv)KEd`HuwotyGoV+V-o+gViX8O=W_0RwvrLs)WGZ(-48&hAm}
zb@qxq@|v?e?_T>z{Io5Es-lq|%)TAR>a9tIHO_jBjIfLpSG3ymJROan=2u)2lF}Xv
z2pv2t`^u)}vM>QJacAE#?236-EUcq3;Bon817PBK<+l;BB#oV1E0M9TXy|JdLhGwo
zPUl{165znK#{-m)VGu#Y7VFnB^|IPvC6-vH=_U%CtBviZBKWGc2|o{EP^@Rw(LJy5
zl?X>yF#-v_C-g?M@85fLA<~vC@OF5Qwwq)EWRIFsyik2g<!p9ghi0sD{V@&mtxG!8
zZ_3YNXX5<I8orgsNj3-MbNh&F_!b5+CN;la#B1sGsjJx>k?HlgBm-Qc*WKwR8I4oE
zR6!e-9D=N6$91RK^_b_j9$lK#bk7^KAb?C%)2jm{;L;C#hI5JDiII8z|5zLw^QE3m
z%DTSUz11!~@etVZu!MJ)!XwgzYbcg%lKL^McR`oeDi_<Pg!6gybGii6lE$*_NtIS~
zjdgSui+gsktd2FLlH4L(lI3iq4M@Nrbh!uko83xcua_?_k2lR=R)q&xIV^jf3L85l
z@jmCHTVgcpSUK3*9>~b<9*4pn2OCdiUw=Y8Ny{a0vo+`mN07|CTT<VU8e)0QqJQl^
znH6@2s9@wrZvOeE_}eg56QHam#SC>lS}WgxH&hJuot%fQ(|(RVK`8JSa=a+9b?Le9
zr0YoFP2X_xx95{vM(WhJ>ePArPPDO74AUp-e+oYesyimJ;>Atyk3-|8uW^fJ6uVB=
z3{nd3c4E7{TDQvdp#6F1q32CD{a+q=?8rTG)|OX~VB=u5%rC!|Y$GA}+%XB>UpCT$
zd%eq)%<A!x%(p($sXmylZU18zopPFeUMD8)M)tDZp-M%;CwD%}&F+#CRRg)SSFz@f
zxHs7vlOpZtHwN-_P+~DfPpI<|o?K6El=FIpr|mP8M?|acEyzwbK8Ss0(V?6@Uu3H)
zNw*@486pDAgL?x=P+aK9Q-*7+-%g_7;lBiV@#ft(XXwhf({eIKpa1Jded>7?23wkP
zJ|PA5u42)Z9q0AX2ij=D(M|k}_Tk=If3&1k6KhM!p#jA4R|Pvta4%)IX${tzm#z0J
zCso7{q6zKYEH)DMvQ>OVPJQbcci5gF87Hx#G`tv17rZL<BKn=#PBc(8PqcI2v}-Rz
zIomI&0fuA6=(5%H%$Zrx#~IyBg#c{}3i(h0z%WfK84r+K$qeTZJqT{0YGWc^Y~&{s
zc?ge%C}YoJ5i1S6)`>|5Im32h8<y{De6+{(Sa_{r+r{1_cch<0b=>iyf6qQ8xR_7M
z#z=8R<Y%KW4+V<t>V*5CVbV36>ij2V;f!HJ$D}m+y$r+42f1YZdGokqY0gDM_~Am7
zuWKU7MRkC{d3Z4e$?97(cQuWF#`mI`(0j1oHdN-dtvMb!f>nL9ZOI;$Oh_nMCb_)q
z^zZ@J)*ek2*_z1phPH~p$2%$$K0;`|W)DM844Bb>fPAk5#WbNbylGpl9jx7Qed9X5
zR}i-I&ui4jJd<$rjUr_Pt8dQ9x%7eTR@v%&XiM4DsLup2(ik&aUO3t0Y)MvsdL|Xk
zq+Q2f%xtOgF)&f#X!dvzQ$>ZOUmF3=uXMZf>VYOXZCI5d1a1R&K_gEY-eYME@2vJB
zYcH`wo{%&Joy?7hmlP?Qsqs=?w&D1w98NG%+<KwEFv(%)D+>zR#znv~Oc4Nn`=`#>
z6dT`{0c=%7-Jv`*Q{wg64@MD12&pyfA!>RUyq7+;J)xo@?}6L#1seB;Wtp4kNKjt6
z-S9gwH*0nnu<gOAsJjioLC@<a2i3Q3=`q9E6CKoClCw>HxSZ&0^Ubx*@eh^s?2xmf
z1=>d0&!p)_ax|^r#aSIgj~96hO1ycM-oTofTI?^YEB-B>mfN6SDo5k4Z>&^n7Omd>
zyivL0U4jSh%lOgC=p@`S<kgEC$qxGz*3un*)|nq%k7PYk7$LYy52onG&;c}(&<G6x
zVvD!Rb35OOt{acV_D-OhxpG2M3geXlfHa!A_OEem{yg_jJdzDW9Zo0R1vaH6l#Q}&
z;(Py9Fl)r<gz&@KVt_w!mm8si@SDk`n<a8}R{_Y18&fOdtrua>xqUc~>ScsNK9Uv~
zJrA<R)Ve%T9KAoQ9lBhH0?$N0;u}J}_XX=h!Tq=U8lb-jxVfy~&sgz9@byMFz(bBr
z8o)qa)w_<*J1OOM*dsSoD}4yWcFdat73^S&WVqpF;zUpvd*(0LK7AEU_N>|wEd(h{
z83tl6J)Qij-e~LG18G{l&fT$`!T&skdpmSEkYaplCvi`<w$C~Ob)@rMYUAl!sR@uf
zNg+69yo)<l%4_PJc$73svc+t_1}}U&S1PjF^w0-*Dko`npZlWCEypqW)Y%UH<SZ<^
zF9w)5hjPh#VUC?oRBK~9M7irkBjdDfOfefnQs&znc&YYZ7?i~n%YZx6uQMr2=V|#u
zc0XN#3`*qV5clDpcH81fxzUFMaMc5KxEpYtcfy6?_YfvZw`J^1LwFF-NPv&o_4zdu
zzNqvC_SUA7y&c8*(E=CCNl`gfq6oFKVO*M8$R1+Uep)s!y&piC!T-gpvrdR|(yB<A
zjgriu$ux#G)&eaDQ>kp**)KQKyIdN%mCQXm``KK@2h@9k;qp2DmLdnA*;i#!cm#H1
zvfL(SD7w$VZ~pQlgnn{bql8E8>jg&Ecx_ziUA~-hs0elBSWM!fDY5UNnOK$^LxF8k
z-uVd`X@-@a2G(W9DE&}(ia6%$@Bdt-`qRXybYKEBw4lt=o^gZ1A@zhA&rTEC3yGO~
zAZBZBvZS2uG74wyEZG2NROIM{B@1W?@`7rOC}5d8eEg+I_qo9v<cnr&D$vG%CyOx~
z5AdL&kgs5#+$}bTCC+wZ__=G*vl+85z*)Q{i_iW0Ms2QMv=8F#ZrpKih?ui^kn3o^
zrfb>Tw!Z^ObLe6j52fa%oDDCD+Gpd`^BfGM-$)puhlo>$j~^K7$JwOH8=k4$|4sFG
zX1U>k2As9wiYiz>(7(JIavZ;HR_T`?M|T-nVuRm9raIEp39ipAst!ES|2-;+?n~rw
z?%@>AOP?`g(KoAl)X;Td5~Y^DBLR_W*5Th?TcV?I{E<b6Y}s>qQnWh$#YNRjrr>|3
zFFC6Y_0!`}pzA_2!_gea(e~OEz9nc-1k8eOV$a02dr5^cgc5lr`1buXJcxy{4)qV7
z1oMw*{_H!_{IGMH?*0uSHj<C1DC0>)>z6-N&QMl$26arts@@?7+Sw<mpsFV9_ZgZ4
z2wCskSfr%vsk!>$@jo1VT{D)X`ZE=G+!to#37gy;n7buBO{%oOYlq_x(1o91P&N~u
zO#LWQRhVul;5<Jf5*LX3Buwm|HWDV>O+S*Jq<l($BDf9?JApQ&xELWcS+b6$f;hfm
zVzNKD9V|-~XevYuw)pcLVVzD-ps`w<GheP%nz;TE+RaPN!NcDVqRzqrPOXQ;>-zUz
zshOeDH$xSB25Rn8C5bn<l;f33w~UeW6qdw8xOIj>BkQQZxci}1-_=A)?~(9vZ!J1e
z!6i;J>AsDZc@P!g<WVK}P=GOXS{=)M3k)dl2~@k(!B3&5lRTpnh7Nr9o;tH2*Z@tQ
zQjF{a_t{72HM6iaQ_NB5CAzL%uw{w`x=0`l6!sPdy7#ssbzd|CHrv;7?V;#oX%d*n
z0|>LSigkR^+qA)j2@fof4ON%%1by9L;Vt~alN@l#w(T`zru}?lOUQ@8GD{M-B0|Gn
zLcccGWs1b^GlAbo$vOg0@l~BguPYma79N18I5Q$9XE8;NLxAx5i};S}WsWf`k6XGn
zzwiaFYElm!wk6cExcjjErb8~lN~^43mO{}>5=T3nmP~fb&?TXIqN%*Y#Ra2~h@phj
z&(lHs6Tds36y+6iTr$`WM)s^4UExbRTEA9S3A6k_a*RiaT!*6S{PQiP1E>&9?_2`(
z<u{WHXG4!cHiEogG#6)Fc)KC*_5Na&oQV20??YOiHjc!K>|DjKEUuYECq*N<0|k|&
zZEkpm!3n@4!wQvHIn~?v>}w%#Vc>8&jF?sMOiNW>CJNlqa3ZlAJ#E40M4fYf#~MHI
z1}y1!pL6QbRO@iXo*?dxsmMhY<YvjYzV_s7AJtyZ4A)FXm*#o4Rxp8$k>2ajpdVPs
zjHs8l!X6pPhzCiOxs7QciZegftKswff{O^Nd%BnwEG`&jjc|rUXD2HCH}3WhdG4IC
zu{2n>WIjlHT~Cm7#Ib&kquV4v#HjEa|GZ!w_O!Z-y40>Fk!zLnvY}C@JShCJ<@~w(
z+PL$k83f6YcZ8jm?s}o?&0^8KLEc4*YnUy++JT}hhXI3lhgS$J-Z3s9OB{3@%@ciq
zKaQ8tLYppAnb=01?`b$L5xQg<y0uE_(1Vpdw+K7QAR>Wn*>e?F982sVf~SQAfpjr1
z(#1d<md?7owmgR@x7P>Q*YyQdaac<PuW6J?!UW9N$>dTvAu&_DX!i#zsmE@WY6{?N
zkoP=5w!VtX63uutPEbBD>?;%yDhzy4){pzhF&v)OR)oE+IiFua?{Mi|A|sB9U&|+U
z1^&u{_?g=qcqJ8xA$@O@smL2oL6<d%%Do#jv*`#XrxS*n+LQBI{sVWLj@_Yf0N=)q
zz3*SoDQSCXi08EzbK%Rp$)9b0XbiPqS$e9~P&PWD^SYbtboy0@7IBRsk>QWw&FM2|
zu?hQt6xPGx&S_aojpqPv^U&-OMkuFztxlb?r;}Y>kPTXa#lnUZVupIKuO8mKlDOmk
zy*y#jk@~NMoTfT<qyc%?OLEQoAyd4IjsKN^Vb*eOl2Pt%B*cWkeeDh%Vmbx2y84mV
z;KHP6x;ZWQ@!AW87p~f%a<&rRrl-zg?VO<YAp!YcWWyibx0=J)u<QC6dt<G~O6(((
zn-(OMkk<6~B{W(%9R^EBa0T->4TYd@q-Dgh^E*=Ow-+w&D@o*}**J@13g@~GU<OU>
z-H10&yUovYXgi}cA5^M0BFByakFWaEH=I2yTIKFFqbDqEPUTTI*T8?Bfo)75-quam
z+R*NiLzZRsVo$sQqdQ~1A|ALr;&J9=G|@oUITd91($HcAoxVP%Nc*Fq;;RSe_vLOk
zml286I5)&c<vb0eJhSa^)?o?KT}&wImkB&9tSs#85QSBsL^Z#!ruv|n2}AZDeHw6q
z(-g&ts=T#FCf=eg*&0{CgauVGMfm0tQ+2F-Bt5zJ8Qo(Hw|t|yskovB!|o6{lr3Bj
znT3^T@pn`I&(L}Qv)Q*{*a%_=F@qYl5+gRPwl=jIv3Jbcja{9wV~-Ls+Qw|`O^j*~
zqlBVSs-bA5t(F#5ozMIF7w#YK&-J~o^E{3PP|kr{<aeC!*R#q`U2pjA`@FJ1I+I8L
zbq!O$1iqc#hvPM{2SjsQo+PG}C#oO`bP^ZNHylQE2?^KLRB!gU#kT>thd~$yuqZ#B
z;=U8Zel;+OW@D^p=7GCw(d?O$!geY>W<a#l&Yup2$dsB$+S1+}uuTYYm+33$;M;wr
zQBvlL1C*!aoBn>+bw1)2!ENvf^S3NY-4lit`*!6VD!m8FgaAGT{1#nLS^ael9<tkK
zqMQBm7h5PA=jL2Cu!=Q$QPOJ?pp`+ahYC9nr|y@OOk~@P^TWX$gr*$RHEO+0l6pBa
z>*sgivQMh-YWkeXjq=E{;6MLk0@cgdB^nw&+}+ei!UXn%d>)#piPF2=JaYw8Xt%bB
zAxgfc0%cb8Vcv&hR#@|qmXuE>=hMx)m3`=*-TB#`A^$0Aeng)CGsDAv!2O^}u9Xkl
z^erp<`We1{!%8{H^N2i1yb;~#{IeJqvkZCV%OrdnMKz50YuER3jnr=fzKPRHoD6VB
z|D@xY8s8#&UX<{rLQ}bS6(^|X?!LhB{2^V?%XJPglh`+wdiEm&`3FD78sB*nyR~6n
zpxBa5#<_c^F_`o~6=bK7Mf))RjJ3<O<Mvqyw<2UG8cXHKsMXVPKYa1Ca31lNTQj<Z
z&~U#Z_Ez@-n0kRi5au4N*oNdT$5Xppt0_;Q&(QGeZyUK`=Tf>5F*4JhmDTls$IniK
zJ7TRI=R)1rLMuDR=e4~`r@J7z2FkZA=knLdW?n!M(MZs+Sc7dn(pVlk?yb}BA(X|_
z;O%R3eC|{39_MOUyjiW3R^R3pb}n9U|3B7_oyebK{30y$@I67Vqr}{5@msiR`k=j7
z_(QY$HVf`9hFqw4mV;>@0Fu-2X-Zc#>feK@@h|BSk4uEQsLo0``&a1D)@^LJW(p}-
zH1U5-JG|ZO5rZgt=QeS<x$b*+r@1#X$wMdVHP;(Q-r3usxEj9a{=C)3-Js35-&vE%
zIac!Kb`#*EG9N)qwDh|G8?C$v7o6^7md+)cKl$GuP8}7f?C|BltG+gCJ97{4$-WIy
zX$ttH$R2hhYs(w#EAb5O_g2x=>Yl%w_NH8#<Y2|*HBnxdzU8f}Yg;8R^CiOm>T5^0
z7j7%hSUI)_G}~usl`<|y@dbQ#+0}dm9+@!PyLdeWr)rdqZ(G3j>xUipW1q8UoN5g<
zF)`Z1z`ZqBgy$KAA8YHP?DYB9oxd}K^K`^-dVa6XU~^4^FkjOSsO=xD!o1gNr)s9I
z7%x2)d!F{C6b$&Z1f3BVMSkt)1GpQcO_Va+FkhZ%9e6`!nN;&OZjH^_nRbk`2rkZX
z?GNX0LErl$Qa|dmMhodvE*qlk!nkQqT~i+<#5kzrdSKT4#gu3Q_0M?RXo<~QY*p^@
zlZ-)(0mEprd0jTMIcNNPZOD}}^HvE5d6kqpffu3|3l-Gp_Y_o<*lc*Y6v2#h-!k1{
zw=3yTPmu|@l((&<XA^!)F@qJ)+_^1fBdu#PC2mtl`~6c}0<SJL*`q*_B4G3l1(dbH
zTws4J5V~gePOam2>Z;)oejfYn?rh2T;L1}@vsiW%+m(bM-sP($oT7nll^E7Ow2T;J
zR=$qn7r$0Iu_!r#hg^x=emL7@=W_i$RbS?2c}HA*wdN(XyXA@}Ic-<QV*Q#ubJkHG
zf&L|J%J-J6V^%0)605;xY-$tdGx3;S^p7p(oU~GzWoKGy&6Mry=yy%nGeG?feDe!(
zlSmo$Fo{0y<G}cpI%<2Lt4B=XUB>mNQ?opqs?ti~O#(+LJoBF77yPf6*|P6J|8yc9
z)(UYJ`4+Z#;`x!ry-OCezH)~=-2_Z-ad3cwYj$Q&-UQ4b^{RulkXOX>6!SNypM+MK
z%@>9-4XAN_cztm03oPfg=oLHH2UYAEb|E40JoRN~@0s=)xe2Ma!JV9wLdKl?QrU4-
z=+`}Q?%c`odh3foE@eN2*Teom5S)P4ms)!%@%8BQ&#KG3=c{;4R7&tc`#$OfWo}ym
zO*hNHK%>Y!Znd^KjC$S}Y9upEi9E}H=*czxd#E*1uXEFdo%Iq^`#WjQF_zpgWDwd=
zlAPs4VpQ+0!qdns7uc=225+Qt1q09EQ)ebhud#G<?kfl6&+PlJ^^@@ufv?Oy{IjiC
z<C}RBewbaFf7Ct59kMG?pPQDth$em_qK8v<Zke{FzSLCs-O$oo3yy4k$+L&Ab40p%
zG`l%`kh`?@OIyt-{Z*!}?f;mVQ&`z?10ZtLI5X)7?(%Lu=WMjFKtTgWTmv*We=NAa
z3i6$><;>w;nP~YKvOo9Q{s5tRA;ory>ax$Tt^Bg}I;WRN<n``g5^M>Y-|tz={9oCG
z?g==0hv2%6Av<@I1k0SA<udM+pToiqyEyy}trMCD0OQg##`cE9f|=V@Ie7^B^lQt^
z1C_5V9u!W!R)=BD#f-~}zLKsEN4Zcn7*CJ(ujSgKt`(Yj-*5a%S_3|%A%gnkMTXt0
z4k<Fscur^qGk-JZrLddC`(nwa*J$Y)Xg&juB5umf`af)jKaX_!Yem});0xHWDR9W4
z3pC%I5>SzU&>2ggESGkJfp}gchohrp_nmfR>@y6~$tk%jw&vps$PB72Y4xH&2R6k)
zt7l?Nl`41M1tL?@{4%*rA=Dj8dvCgXAticy#6;-)b;?)T<vw^HRYHu*aeXU(%-i2i
z4s#)ccu{LoZeGNyilv(HRI7Z8KeKI8@xz$X-`TLrTA%SCf3mh49&y{IIj=>8{TJ?g
zL<at91Fwl$0K>LC3CDHJr2;9p*zvQ5PPS+u2nL6e%Zqd5GXX(K3CdoI91yK<y4n=w
z7UF-T6$~UtwgW$|EGzJspaC{pbdl$1kfDRW!gtdPA&8Z&121D;uL=-T?Jh^SYp+e?
z4kN8pkpqryhUW?Y*YJUx23UJ@>yS54=QZM8Xy?#^{QFeN<pee88KKMmgLFzkfJ;Kn
z4eOl^%2(FEXFlUWw=OIzD0W5d1ySOS$r7C%+)qk(a52|qT2p_W?Epxe<5x}>-%1tP
z*~$1lAK<Q*UyB!(2xkJ2Z(~;FGnQi*g?ur*5g@hW%CxDbghr<>@<#fQPMtcT(;*J%
zb#<qK8`J$O?{Hm|<QAfPAwTgqMmynELu*|~@P&Lhir@NUflT||+ANdFwAu_Qb7ct%
zrTrerJn35>Nm4FT3<dEvX_ytlu6J{b`4~>p?`=_eH;zShFP@{nFc<$)2)tD5#8KPq
ziUB;+WU87Sp^lK1A5L&FgXe!?Fwl*gcqD!dyW<=oDb`XN;d&s2Tcg!<XvgHXe!sil
zTeYL>6&j(0UEnbuE_e4nBLF$i=W4R>D^(z?c9qxk{`i+RGS@<zj+{BYVN?YiSl0BY
zaZ9`AlQvv^3;OJ8=UPDI48`jh!ACE1uZyyae&;vp&%3nOAYv|&-sRw4kir2BPPyVh
z5a&2=zHiSZ5sVRSwc0l#G(-`ybqM4>fob%{+`%q1RRevV@Tc4%$Of1382L8NF$BtR
zoU<8pfLiGYGFU3IVcEBAqvaFJXa*BfgI;-KE~Le8-4Z!agK$`~_+UuOzSJO^>QEq7
zs#U`OB-_3vD_wM4>gvK3Zq_RzC|iGsH<<lc>yt<|yq@>sroV-g=_S&Zf+!WJm``!n
z5~HA>)lcp;4u@Zutd+Dgo%Rj0e%->+It6j7c+%mBw_7=uR8F<v_eg_S42XaN1H`nI
z#eHmS_JbO7^iE(o;(g}GsowZ!Jc$MZs-9Zs!Mu=^m?^oNa!g~f`<pI@_|%BOwHdDe
zF`f5+?+_}UBWY{>)ph7jME|J@Ql$U^Gehj^860q&+_B4!Tx_77i&$nYeg;Y?(RC5C
zSj86J_cW@1OH}MTh&+=cbT-_y)pv^0%1DyR1LSdYj|q*qg)h4-bY*ayPP6gcpJ6kg
zciFpcWiL2Onfd+&)cU?h@f6mx7}5T6F(Hh1{Q&G2uaI^cbcJsls8toP|N3v2Odd)u
zwf`AxB9*hJLe%1Uq4h*1hn4Fd#F6#^J-esY5;*7&)s$-AmEqfyi(MD9J<^Zv;-Ozi
zPI=v)oqFd&3@EEZ18&??DQB3l9Im{k`qPrx>NT%&oi`256cmyiMX>=A(OU|C&!ne=
zvi8q1t^TC8>e{fryP|Se-E<-^arF=W@AoI-Az}vI)wT>#R9W#F3;x0DYpreAfCY7~
z=M8mY6>Z*T*Nb^x{>_*=Yw2hMxZ4#GBA-evxQVn`zM1*m?yc|omW{IPjeZ%bCK_IQ
zFrSvc&5wci5a`QtfX;S;#a#+p>2Ovx-H|1)kHbdyK}}be1k!#<9PEe0Pm84+N!Bv#
z`O^E7<%>p~gQ=157dt?tpLO8VEo%$#2cCNOqXCNRlfH3d`J$Wnp9UV@s0}>kQ>2tF
zuy*HSUAM6<q~Lp}f9+t8n203<XryPp-yzGp#4~#?N>!3PfXuHeA#=(f@PQ<a?L?_g
z#R7v`KDFmQL647s!BI_d=KFY(7x|b;S&o?PFLr9ha==ydOtX<qP(|0rtbU|(s8sYT
z>syygalD(09$WsL%PZugxuwy&Rw@DB*r_b%7UBtYk*0UHRE?8^90Ob!AQp<KizR@_
zR>)8gV74NTO_$lT<z&89R?YXg<sQJ=4<G%;X2R?Qc&@QC`p#>({HP1j-x$azAK*^d
z?cUZCoMkA0r9gvi-7zPU!cXZkn{{x-yWx$$b5q9}UzZYiS_jwqgSVZXw5Vx38I>oE
ze45L=Jmc(aKJfJ2wLPwJ4*BdD9fRcjGJkrYPhPd9%Z(TtNofM1z*dQ<-vV!c*J`3R
zfGif_q;!4TD8latwGfE1lidBs!h1fmcEYBE8anJH$Q}<%G;erg-=$e&m)+|8_xck5
zGG#mZ{I@IR{+c_;I+x7z=~9PM>HrHOu_;{Tv6<{qhkIJRwu4Ekin-H58Ut66wWsFY
zBENHye}PWeHY+JIrwia|XH$dSu$c&{|N5Bv=GIq{B~pT&SvcxgzSnLkN*a}{)^MP^
zys?%)oPsEJcD<O*HM<l?590V7;|*Jbn^0<Bo~WU25tbx}UF?LlFV~RV1phX<okB_%
zLrG7)$FgI8Wuh3nzvS;t<1c&md6i<A-^b{2J<-+t(-$%_S=#q>^gsln`91|>%}{75
zcxrF~ANBN7!!@Q|fv#2~`a6^v{&Q$PDt-tYZ((2Ue}jIvLG(Ee<30!H;Nr1j$)PrU
z0y`=e><aFKHQgvy#<{V-3fujy;ENJ!Bb2)#@1$_2AY1M0EEPUR9Le~1XNj>9M7!dD
zvP12GRYJMW3(jTc34q$jK;#?T(^h!f&lV-*t6w?Rf}aDW)GUlF;zuM>)rOBwwV7gG
zg8kO;L?K1ibo)TZl-n5sA)JGEBka5_fieN4wrIgqy;^{L)k})l$Hel!ALU9g%P(xL
zidAulrSYF3y?3<;CbKc>D4&;n<_t<3TYoq!sRz-e&<SGRcj7V;PGX$a+nyi}E;IMX
zIaSJp<{0bu@6M%=)Fx^tC1Ce=9BZy#zebAsCN-<m!2Q?KJkm$Dz#fN^v%WX8AN}MU
z%|m%-J~`{xINWSBC%7;Dj}^~IOk!x|t%?)T@L6`X3|UOZ%Y+*MWXnWyX0CUqHtcRg
zRj}Mp>MwI@358ree_8#}Zlepi*-w0uNS#cOWPc1&`ty+OP`Kp^Ku*uZySTP1I7up=
zcsgk8pe-Ft-=|JtLqmc(2JoLk8T*J5-J5imo8f0kzZ<+lruS~BhFeGK0dvw8qX#p8
zyFaKXrXt&XLM+`X{DJr>hL~0Ky9*JuBA|4yJ+2h76lWMP<YVPFrgsp~ka81^VG7{%
z$62$SS3VUNF!zy2t{~QdP28su9RR9_P}5*~-{!WY%AOD6?o?B#Y?u0VQs<;HYe120
z<1Uc^eJyXUYRLq|Otelkc4%%BZ{rH1H7G%*4JJh|0g<#|iJ=#y1}1JIyYZAPiA)n^
z)Bv|WK{;ye%pRItxp<<U6LNQ4n0<HxD&<X~e#HjrWT(Zk%>Vu+4-?y+V`e!_5_tot
z38ZTUT)P}Voy{nD?I=g0`68<aDVLT~m>W{vSrOs-^ycL3Zh*Ey^#!Bi+<4Q^CXI%%
z4+gOe=Vp|)@O0P+OgUesDI$EvZjgm-e+ia8yj@oEK~B-G6Yhj=YclVFj{5I4ZnarP
zB{{Nes(STOIohxK5<UwP0lV)ke6J49t(biDt;vR_P{KC&cS6o-&|9*RZ_fjy1yeQ?
z*_mB<I<(RaudH|wVWQtkGqa?WIyk{&(?e;or^xC8mGYGX*HhLsWL1nXQoR4XQRJBL
zPE+Mho-l6%H6_txHTuhFi1o$*vtG2GdTi_-Le6_q;Y*T%%oTy8O1p1fKC|g4&W+i4
zu5u!>Q`M+)D-LQB>BR~%@Ah6NYV%m?b?bFfA~V^6(p!vx|6~+(`Fk6iD~px?c~Mky
zB~+)3H+<-TsKNBM4<609-u@tf%YsVEP?o(wk9OQ-8i^p|1le{BWh}Ub1t^OvAxm-W
zC9G2twmph2Jg=nXw%*T`P`7MQLYnlsTii{4xxF=sMT+(I3q0fUJlpApHn^vizKSxB
zWE$V9FoJdYLhj_n7uY6O#oVOcV)@yBo+AnnqP^oJ%({m-(ufK7{!0Zxb8W}jPW4{8
z`jhqC`{QylRm1C|T+X-a@?GuclUJbymra48w>%#FalM3zybl^DjXN(rj)A)P@GSgI
z#+4EMHC*PHoV~h*%}vg=D85wOX-Chw>=C*>i$YtY5xiqxR?TP*_-;wcx#+z6c9S`S
z78#9?k9m(!wnT3}Gs%m%qOsdOF5K<XzYDk?BY&J&&?4F!H1uXG;!D{{2|)F5x$FMI
zHZ`PEErpC+>u&6=y<i}sp-*Gs_%KfAXPsd0t-S8p$6=<~x4&h)U!a5zH>ZAToui{*
zZK=LKr;=9M>UlzyXIT{P$sR?C!K)veo1)Af05%UPQc0?ypB$pBt;5@oD>Vfy>2bVV
z8YBb5bdOi-d9ZXnE1V5+H~bjwF3}$N4<$cQiTBC#&}#{hu<^ec(EF1PS{AzR8`7z+
z&8pU5GWs2rlL3AM;*L9Sfu>P~UmG5BQNetu!$&KyBoE7EY+8aq?~ZNSwW|q6hJ~X%
zw1yXSHmyAm_r@)3rULl@o}G*<{*8@dOUunxeHK^uyUcP=VtszDtHyb<B#YN_fDNbB
zs;1lCEMF0p+XFNA@vg9?>G4$9Vs5Jca&Ro-4G1xs$mP))m-RY@%C_wA_6l>%1*qyo
zyP2xE+l(%Rxc2!hxJ>Pe<}#dDESQdAVoxV7%-z7p&(1rXh#3=RUQ4W0LX|7o@u|g9
zz&3?M);%~@WAb%e+vu86i5Z*OkQ%T0J7J#6CTn(e@yS<WB7mR+cBUxFr?Ev`87@JR
zk10>5OlN@LHvp(|c$dJ5PcS+Wxj3I<rwLI~lwBTgGt6JhzLfgyP{S+NMC;-AptK2-
zX}m7%m4-lU+16XqI}Y<58UGGs8LekM#c+0Si;LzeZnD9Z_DFfWOxRLbe7BPa$q>&w
z<8}*~igo`?2|qKc80P=mqSh?3aKp9$&9wcnS_zCrAPH3Dqwp!8WmVa&N;rdL#c~qE
zuc)kh$vzu`utn)gB6?eziufruxk(yVYMCpKtpFW(m|2WmcDyBLpdCw+!M)b8_i1T7
z>Jvt@+)oe!-J+HT*(|9?+M>Hwf~m|52GcpTwRluM7Y-8>yZ-8<@e6a6#9n7=?Xg<U
zRmGP<=k>TQR{S^XC46>xyFu->WgH92ir%{{$o>3_jjJ|V!t;>jND7~lVVR^dWs%Y;
zyiXH;osgoXtBe0}yHIBh%Oo+Xu*rn+W&$~J^N{V_b*RH*-cCzA5wK7)^@aanWQR!z
zw(^yjSPbR(()<s;On2-gz7)#7*zrn)s>XJ}Dvn~G^24&byb$7v=?2bg2<R>T3xOM+
zadjsbXkXPV?&n{QcW@;b4(#W&s~be!w0$|+tWe)%^V*DlVPsF9U|LBRlJK{cdCs$X
z-ryZrn7v(u63xmdCuq`AR#R0)84*dqgFbrXMJtCIXlmdang&Q8zvx~CDsydE)(TOS
zzat6yIj!Ak3cM_HWv|E55HaC4G_U$kacbs~U8xiAQ+VlIa@N8=%~k0?Y}lA~o19qt
zy8a!%Y_hBh?*qjzFc7wZ0%_NPCALodf^WsQqP-how6`TJ$-Kxl@vBEr1>}!XJk%$=
z_E6b#8lbOxGb45jF&DAktu!1mn}KloRqo0(<lbqPWN_mRAc7!)2mK(uc~p$KP!9iA
z?+MnRk}AaZP&)+)8VGYobxUS>G}wz`&Fgn_YOG|{pi<hoB16LR0Cc|0A8pH<s$&Py
z&}1P)IIDAjYHY25N=hS>6jQo_3TRZJLa-wSnLvlC-1Z&J5DrU2)|J!XxW7}bxeLKh
zzO_&yoM0Y^h=*8p^)9ONx)-yBOS!VI`0!EAxgLo7H*e8=Hyiv?=Db-XTHH#z;u^@N
z7*6ee)C42iM_{v#7Hz}JvE>FQ_@DjeWgR`vBX;^l0OO?<4JwNDR7lL<{txz?37%Is
zv+}x^752Np`U;E#@nd7y1=78C!B0rk-u{LG?f%1(pQ7;+cJF;QYa?r;yON3dpU!s=
z6+F2R`65YZ?Ld1z;1Vu!1~aL+5<yYhPQ<?Lg>X74qe$Yfe$v?LL(M+E>m4Yy(}Rs;
zg^`a1+u8}5Pv)s(DRo+Fo3Rr~dT2aE_-d1lUe}IO=~k04N@Ap;MueVl&&9)62Klts
zaoNaTrbCfJ+zK?n?FYqH-cCz6hbD(I2yPFa!y1}5&=ypMnXKlPFuszuccjVSs$@(u
zDt8Yk(q&7z9oC?3p}*Bv=N+e9A`u4-{YDN*^hx`fz^*3U1zZk7s?S6wsY$vSQxVQ^
zxjqhvIYo?@kU?_P6}HMz)@*a4fVnI@E#vvz$t>fS4Kdcb@=)J+Q$JJvifM*2-)R;I
zoB2D_^h>aW@5rZYC8*@RKvn42%VTw_o>PoW^{KM??A(eiX76(r-Myt$gDz5`exK7f
zHC#u6s>orwF}XT|qR)=SX{Wk`R24cp{}VPn5IgrhC+qg}_w9tg0Uu|moI8jn3og0{
zPv=9O1I}9}9VDN3$I=y0e!)RjOD896niI&t3i*r6lWBV>OYQ}vQqWgjZijK0Mc(1e
z`BQ-D5a1<<)Y6bng_;>x1n%XH-^#g=Z~cAUGoSp_q?}vbh%3}orZ-4tF_2YXinp`j
zHE()b-DJ@#a`yv|yFi;3^6iZ6vm6R9?<6DHRLf(qRw;U>(h5DkOt5fU_cAn62+2Z@
z^}mEjp%cg`u~dLS>1FwEMvpiLx%yy!cGRjkp~cu1Eo~ilUj>#lyz|voyBQ|F?H&VN
zrpliS|LFxk9Ic5|h;x(?G#raTPM?%+35PqEjGadiecSV=Eg|f3mhS%7N4#%(ek_wQ
z-IEb4yq@h$Ja?)mMN#rk9z%;X)Ecy~X<f1qUV9EVb|v@^y~c7h!Y&x(+c{#l7fYzg
zs*?){Z<iE^vADfJRUPCfZo~aCX`(g)lrDOZWar5ir5pYN%SQOAD5cKxPaHr9&%7|K
zp+f(fo|qo1+1~6vw#R?-KkM7NC)s(jHJMV*!wQKBNT_)WPR3*vAp)&)jY06mPA<~b
z!vkht3$=Yvt$!Cy_y=05XNTlDkGl-SgI+@<%^j->JeZ}sq@*9o!Rl7e*U~WRYtLpJ
zp`q8zyAI9^f0?unr06=20mS2<d%kM99jN#v$F+}Zl3e5h*!IVa`7<kOZOWKClki1M
zuYepFE+K>MIfSfFklfJijQT@ip5(mGs`VYj{s}ueoo~Z2y3W23HQU{Zo6g7^J`uSK
z0dC_yG?*-ll{MWm+y&vQvGLyI(AT<JJ2wHEA)d^Fqq~94?BP)o1+*qs>VXLJXLtlN
z^<170R@`AFJ}ulwSjs@&n*nCtk;{eP=R9^b*ZMD}2ZDGxRHuL+Kr80#3Tum<9R3_P
zP2WY&R<OdXbN*|5&G&T9K;9xFnvhQ3-0?_s775+elSV<cCg(#yJF>P;M`Iqs?z+(b
zz?kh+Qod&3Z}S@y<iP#J=dEUpI+DZl#zp}tn^E|Gjh{MMso&3W-VtYWwVvh_f%7bA
z<TCiBjTdUag#VT?;6O<D#0m9i8jF=aYpCH++zrLsYa%PvVe2gt)si*+yiS*PX9o+n
z6@q@wP0y3^mUS}D&gaITxE8iBg4H~>JZ{V}QX30*CLL=JycLSRtj-SzwgBV<Z^r>U
zdfxB|kFvA$stYX0z~<lnaWLg#TxapF@+V)8fLk&~VoN*YDF`R^PvU{KC?e5NAS$M-
zw_x-zyJ*WOhP#-k@~0p~dTx3ri04cz5pnkE!X(50*@T{K-iJ$eIX=)PJjo72_Gjk=
z*6<)zUF`b73e9!Tfi2Tmjf_9pO_6le^H73T3>%xIJWvI(JdIhna@F5u<&|t=_?*Qt
z=<BhHoU3PUJKl_bePq?kl6CTP3>S{ZXIxfGR)EPwX~(r$^_S6_s`b$lJ%rhbn84UY
z_o7};>78OSFSf8FJWd<^N;uTa+u!>mw-va7%5Bg$LTN31&9N&HdB#AV=GeKcm~W9)
z+0tAPi*xm&kKFpg!`KN#HGPH)usxS@zOFjPA7Mnxd1$e7PFtMb@3iJFt7lX1ne<Rb
zr8F3aQIdr*v*m10!t@^m@tai$xUojR#mDfXpta;K?!ZGWuWMSNkgmuLq1+0HZ24L3
z6H~L)jP-s!NU+svn>x*Bh}s&u@&J1x{jDtQu{Qvhe$=WR`~tN7>EDr&-#L%yCF;_;
zX?BJ<og3`Iav<b^c#bDTomB@V%=Wn%B&^W--z*-z$aTmH6bO%Y5-eN#m7%)Pb}T$~
zXyg1O%0y6zSICnyS4PmMJ}M_GG*Vpv-I47|>vR{X>G_KPA+{N7ZjtidGNvf}(z18l
zIXYW1N!Z^VxvdooVv~FO@9G@iXTKe%@U~h-KytHydHg@fsH|#oj<Y_;C5AS~MYEB!
zMI=l!cb~WF;cUv6KxNDc3t8XNUCa%HHYORD`|a}mD=G^ibk>8LsXWo85;yfje|@**
zQ)0$WfuFnHz&ZfKaI7hOav`lSu{_;XOsi?-<UHhBkDB;=e;jMw%o3daDGbXP*Y%#G
zUD|r%ouSKCZ_S}*q4Oqc7J^!hQ57*FGo1J2xe7rmW1IZw7Yy)xEExz!Mr&B4_H}p1
z0lS%Zz|z>h2QlraY?Hb-QpSGQdaz6wwRrVrC>pHxpr8@QvQ*y7nq$&GAx@q8#C+iR
zZH*f$1xt@Nxx^*?F;zE_*)A@CyhRGsH{v?s-IeiF-n*#TVTdR8OgN&>Cpvo$q>Ri)
zc$Cr`OxaeVgVqYHX=e*(FE=TdoF!U^Dhp#5C>8#LA~sJCVdvfZO6~WRq3lK8tNnJC
zoysYw9cmQOV=G=yzli;N!;FWkUoM1h__ng(rEr)J#mzD-U0UlQS-V+f*^+O}vf*h;
z{|E3&{zAiB8R>>ZDXr0G-gDy+{c(xR5zy=ATSU-s6*u-`=T(q5g3HAmwMAnVt*Fq@
zgqWybPj4K}Ey(Fj3m5MvSROJsqeRTt<-xg`A|jGn#<0XV=6G+1<=><qj(=^v?kT7}
z6R=!;w;f|JdT~dH@bV?R#Fq0{*|Iy7IMp3N(zEL>!?!Q#oBSxZes*3s72({)WRN2R
zAX7mqTemV>|5*&0C8*bgMk<gl*{mVdZ>M^>25&Y-A>SFBGXNnO>LTU0iW71@#6lbt
z9GAhgnE82dOq#gN`TsFt(b&d@-?>?}VX}AUXc_{nAVQL%yO2$cD%?o(sDAGR3doc@
zi9x%s-51cGg!*Md#p-SB6CpJInVnAH*HsXo^IKJ+{l+cG6@EZDfb~<E1n%}vkL(Sp
zEUZPi;X8d+b@sQQZ`JlW7)+wb7U%C=irMj=hkCmXqr6~;H|JgJjvm2+w|Wrc38wps
zG6J5&ROMSva5Q@4iKy}aW`;4jj(heRX)-lGG`qEOD*Bl^ljHuTH_=;z1tZx5b@ugF
z35};e3sQABW2sWIUW&9ZXKb%jR_t-!N)X@-4VsPVlfZAuy`=!wzY&-F2Pu-VUC_R`
zp|V)6Zn}idu!V$tnpUqan|Mg`Z~$w*s`}&|iyzt}vofpC6}nLAVGGM=##;mv+c+nx
zp_&Ko#r;&Kt7b?9-rHJC9+}f9tx^AP>qUk-sLeq|VzY1=X~S1lNxrZwHlxz$oLR{T
zhr9rl1#2>oYdV*ko8=YN%nr+gio@CtuE!<R*P|D&7n05BKAbHm&v{{n@?b3s=1-=N
zTC@MFz2kGm>9r!Su=k2zXMkJqMsPnwW>%79l#PrJGVJaoZ}TZIhbq>e-SG_hbqJ?P
z(MfTS^=_u~gD^pjmE~kxF3Cg9Pm(1|ItTf4*P=CkVtoX&d=(siBvdMrhVMYfU8lBo
zvB%J)?(~2%$x4d3u0GqV8npVz1PE%!xt)hWwZs7)59AQS?l#W0U))l>7G;77V~ADR
zm(OXm{>f~W2BOOIU+CzJUd(ybC|(s?p<Cgna44ShB<!d;K+fhD#p4V9`P0huW<IwH
zYgzhpRpNWG3EKi4F|2#((I{$aS{Zy+OL!Fru$yzvEWR}AUg#MAhBP>K5dNhjy+;FU
zw$$)j&ytE#oCqRpUXa;|s&U@JSr)KC<t8@{T>Mj)D7|e5&LI~`VviygrGqOkn>v}O
zpXA%!{hrOoQm3F5yS553Un7e}@RI(SMMnFx+S!Qv*UZ7~=xxqAKyuEpeX3N#)5RFW
zrI7(KvGY~G|Ht%0PKZ}l>Y#^dXRC9?F~#^kNt|T&3%A2h7lQnciRJQC`2m}T3#77r
zt%?g^Kw-%><MQn_{uzatohl*&nj+Z_9FI&+Lle%LqgLobOs}`80h@F!T?@C_KyJ@7
zc9{{=U=P>1D0)#t)2zFlE!+^oeE7XgQ#Jq+sxAbmCFA0i%G|;K5&SR0!@JPr{pM_3
zZ)6g(dY9HxJ(=4WoXgRop?(v(zt!@x#J_M-Y~w~D7Eq%+5^~|T2y6fxA8_d#R}JNA
zUPC)jvs*+a;L1qWDoH@gGV;|E>!eoW_H)^00KE@!M3!H9TsX#38`bNV`-XBqQqm$9
zS?f`SsRD2N;{$Z6e+Qg8O#{g(<GYQh(7>}q`R|mQcF^h&zIMJHz+PCt2N4nn(Qan;
zGs(8z$oKLRlGYg}s<{3&kAA~i;RHfjklxFT)zlmd=RwR<Yy$X3C9<NJf^lPYoKc}?
zuY^MAn~|arPfb`)sdrSL_N@+dRQSjQx`NSYef}ES1PlwR9c=$=x<E1$t6xnQFpXT;
zew%+i=CAq#n35BotvS_cFvEKyTX}uuE;ZuMVuE>%T5Hmpe1M*_!*RGpXiJlb>5`gL
zAaB@D6(GEjkF4!!uGv?55MV4LNh6Ze(j8@ZpHgFpci1|mZ)l5f8;%9bS_R+7d$Fh&
z!=&%kg>tKaAE?D$5>F@f2Lz3~$DQ+3{&RMiUw#t9BbhKE<yGNQy!%FoD?b9jIqDuT
zGMV1*#Yo>cG&%fSaSw9Sr7*X|83+>2-SY{B@S3^4;|N8q34g%<=Vn$T+Lvyaxvv1U
z-Md~FGgoxL`}~kc(=7%?K#5-5W>Iylsx-z$ss*rQbQ3KckAOE`)pq|78JFn+wnSv#
zg1XtVmz=D-)~`Rb{~I6NPYX@{IWBXaojD2loz<JtoP7xHW6jh@$*Rfq{z`dqbw@Rq
zQJm90k;Eh*jKi4C!Gzj~5A42OJFd3Pw6o>n4?|i`9x6kY<zKQ9Y4O-hyatRl;Jd0O
z&wE4%@o;Hz&ik8duw_&iEmnZV3nS{HxuObFCCu$gi`6K!4`oh?^yd#4a5O!nDk0Eu
zyj?5LwH{G>Xe_+)m*0i5xcWCW{;+`;FQSx%HD_5=*1i<*e8#3Qe+G;jX~L&#l~TMK
zbxyn_T4$ZrVD-Dqw)OM#egzE)>1!CMs|;aXyruj-@F_6*y70bt=eI!tYv$N)msdA5
z;rhxh!v!C>_QpTf8pxWADz@Ih{+;t2<9P%nlrlA8Qgc3+CQ~9!ZblYdRaR;0dlKfl
z3+%Yrgj)zI;{u>i+4CZ<4Kui|J!Ox;EUjW5i<S%RXU*N*LANDa$wtWu^_e->FcN(l
zqo8IcL-7Ro4rIu|=BzuhF+Rrju~L%~Sq{5wjVa>*t#gA@c5|GV`MhVO$n!J%yoERZ
z1bj8EcL_YgIR!Heji>07C66|#z+JG3IG345w}rGUv#qf~>Rauw93uroP`_<@u<3KP
zsn%(g+<^By3+AobfS0num8-ze!NjRaiSiTCm-l;zC-#sz66*dr`tsRli<bPwCf~hq
zKmSuerdMfHu+(hD!i(7Dx=<Y6Ez+fsOU#-xyjiX#)F3wn*F+C<X5c?Qsu|9#BMQ)X
zl$s#{$M$0-jo;?bBc*W8**=QDd-EF}pdmU6Ai7bKjjQXvT+3Z_JEzA5v$=HSVu4AJ
zWa)~hSvbFRf?J=e3Ox|R$9lV3o&sx~u6s`;bD*}*NVO!jB4Yhy)yF-L^8YcNVa1j8
zL02uO>T=zvlD^Uv*A<-1nUfjpjt|_}NGefJZSERaeJ{8az0`cDsd*71$9_eiz~VNJ
z`94@ob|x8bvkyWT<$aroXmfjRCls2cnWwtF=dF5!IOvj0(YN_t55b7E2TRx7l9`i+
z&L@b&hJIw^u1U)Ybe5km!(IjdL()sC=Dr!^ya&c;tif-!JKcwj8kU;Kj<WSbedWxK
z3W?0XzkyVizn0KG^Z5COIhk+iizKg|3uFwZME9dx<z=!ofunGGTce`K0mn~wMk}a8
zn_9%2FhCP;|DrI2Ur<QLH4;=`Xl9^by{`$1G#a4g?zNLrqM1)I6CAxGp=VR{F+1?>
zS@gKQ!JB)B37b=*HDg>|w-tmlsqWQ)SSd>rLVQtGnJaH-tt^poAnS2B(Jke{1mO7#
zJdFEMt!|jT@dq?HQMR8;?@oaFsH7ZK{OP!*tkmZLIEkNCOE#C&Y-APhw=4K5c#oA|
z?%uBAsSR&m9=L_r_yvcypi8{Efne1$HhY|3L**H=XD6^c;ruGN=qHmG>LJouEO5$^
zRe#u0MxLN~Vs)Iaco91vdUF6HWc-P_0NrGP;!GBs70|>$@NN2Cck7D*ewvqzHyzPq
z?wS9_BD4m%Ro>&jm%fV;HJ)%2&a*qb+=x;=6gB^O71NcTRW*v!-G;cp8yw^)FSH*z
zQ8?N}t4e`_X9>6t1PQpCQZx{Q6H#oOm9n%p4}lB|kZXQ1%GrLDtqEx*O$H-$`rLyR
z_&i(Z<3K|%Rh^|f<cbtaTQ5`-x^qyDWv=Aht!o&W^$4P>KqV{g^5&*61SGI3%r@d_
z32uRiS!-X;j>v7~XW3y#*~ZUCS}9?99Zsa@xsxP5&=rjNY5rGSV(Q!zt6_pI>we5x
zmc~DDVJS6I4()v2)Vp|LW=H1)7!vs<<)6S}+2YvEJe~{n?%f{P)+8V5y=-kZ4N<sJ
z05<ckrzY|{;NmiE<!M7G)?V+4YCo$nMGlgw5q{{8Ylb!!**;%N`yW&Btr2-W5YbQx
z>!hlDp%lr^pvy=kfl@ZR%S-<=mKYa_maiMO4GC@Rd8DvbChPO-iAHQ?AbrH<b_TJn
z!UEhp6LwP~Fh$twR9Fr_+4D+z%bwc(Uba4JEu`HMIRd=pXF5($)6<^MpAAx>#X0Yf
z-2bmue)|}hg}4LUFtK36Aqd(R$~;BX$`dr^I$WV~-A5CSA=H1s8)CUDG>h=0XkWv7
z_HQSi3npoc2@Hl(^$3gmF;1GK1h~r%xT}uD1plvQ{f+XubSK1xvXU5f1D^p$8TR^V
z*F^cwA$h%VB&Y6c-m>IgIQUO)Q=X~O<(amMrP#+K=XI>yatgD9Hl`LHS6thd@6UP^
zBY73lkkjsyi!}=PD_6ly>E2VVVyGK^FMbpGU(xO*egtyqRQKe;!+FCYQeu^>l)w~t
zQlH(Pb%uDd+p(!5?gZkX$b0ybvaNR!zhA8<m%X*<l`_4+e$n{*o58yu<n>i(VWT^j
zdHMwX-kj4>f(uLM)jOh=3C-<OVg5jB-aKdty9leN#VT13|H02|v&bWAM8X%NYFbSi
z9kOlvxG6QPFbZ0?&-~WMm$4}+eGbVv@zj}~2QjiHG@GH{R(2Z-PKZMLt?Y63QJx@v
zJg2W0zuLGfzgCHap0~;AeNL9HUO4<k09!7Al>?DWB|Au(WtNrb&y!&qF*e+f!|?19
z<?+Ul1*TOZl9+lr7~4hSjk=xVA|)&AX~`J(0vK^n8lXo81rs8F*QG3cnKMew5HUi%
z4Hr)hK&*GjZH^_o-2@bJJr4AU*JvW+8hrbzcGDf%Q>enm#q<#`U~jH67fPmvnaUHV
zVgB8ue4>J+Da6~ty6?uEIlkUO(MNwsem@%+7*^KMoR+jpecM*URz+G(C@$?T9uq@%
zobRwC19w)Jbrx8`H54_ABJS_ry|{VH`FzumG31VAGuXDrKdlG|-b9I#G_V9!^W9B*
z8@`F4AN?}H(%lRhNNMMj7B)e{mR8eq7wul~zPa~KF;4hkF&d7T6E{)-W>p>p36ZJg
zDszuyhR=biNkaUZlL3P#Vu_h`0q1|oAE6xYjPrjRz}Cy^k4y{>%t0eJhVqyuhs0u^
zmzJJ^4WH+_{3(!g@h71Mgv61aQqy4_Yy_P`U6s#zuO%);b)jW0_4<9)m@sUzlp}3r
zM*E;Tw~83NftO>%i;QdkHkL=0niKhQg<t`Xnl;K<gB(~yRT+NCf#<_bZ;Od$V#%i*
zYg7BqG;!}%ecKy@Jc`kIvz>W7ZabIf^2J%{&h7gqjb0AwsBd4!2Ml#oOuX~74Q4Sx
zmF`^JRO^DR_JiGo6*CuM*YHNJ(&wR$weC}ni(^_7MCdoZJ(}9tSWNRu8|Mxdczf7Z
zDqfZ+7OwJ!g~tD|Nb*{*xREVi$U~Kv0-<#EniJI>Cti8>+CCB}eXuu6K(|VPg8Eff
z!zY3a0~PTDxbD;Ylut$KjClqon6UG_WTwHPJ$aU|LXsCox+0h609ylC_;#NJ)?}tV
z`^>22o&wBuz79HqM5PbC(T0j33`G$*GHSNre@qa$DVpA5;inEYyObH2KD+P}6W*`D
z3-X_`6XCwHA-}M}ntL;D@ZnD|zZ%D_SR7nQpuH(5vtM(afTj5y98Q@Fl*7SUW;#}_
zIpedjMvyaTq5H*jO6<1z_??si>RiWI0{f$CRn?1Zr7V)55o(l=uL9g^9fDketK{t>
zDsr2b-x>d42g!1WQ9B%0)VGZJlpHIOb=+$C$fmU<F8AA}l_Q3^NhWC|g;o--#dhzW
zbsouGwUhoV3tEBW^R<*K*bZq})4vnv2AVAWB#pv8j|8DyDK6H^pALcpWl78dO6a~`
zh$g>=3PyE0k;buOfE+3m>Oy|c7B>&jhuo|4veg89;`$`9++h5K#`aO+(wxguq~mjR
zSXfNsH5E4=0E3;Uz_4OZ5jPftSGjB6H4!TeIifQO-?DG7c!J%PxD^19?UL}QxWl(2
zG9+h@-llzZ<MXOjxJD9xk3+jEcrB~#;$J_zt`AF(%=be#Gtd4^PCLo01)a3BDF`z}
zC%geZWvY=9jepXjtg{%N;-2o|SaA$yN2<I2MRu5_SUU=lxlc;kq>acTHmuhI<KQE(
zVgKy9UpfI_JZ{Q2HZ^)>TKMjYn^78SeplE?j+k$%Ylv#CU+NUxzxT9N_Cnp`*d;y5
zS-!ZK_CsDDJXhI{%~$kU>Pfi~=*x5rIp}Gv4gHV=z0lmgy*wMTck@nx><mg?&j9#V
zU>e05W%VVWEj_r!>3>Y|p>NTF&5V^}R<}pBN*2_~%Uf)7ns;n5PkeA)aML3kNAJuO
zYRF*5<W8ia>`V`_7jdTsB{LjsmvSr?qrAgyVAfK{zEyQGY9bZ5mytF41Tc4<NN^S`
zON!YJnG%RD*f755*u58o$YA##Yvz5`enF@qJly$6(nd|<Vw^ac!wv;0k92`-siCUz
zI=!>KaRY_vyy{{<2)il5P0_o1AXT0BZt9IdVC0J(MJGXt8x=|Z1I%iovyZl1bF%bK
zRb0f(vV8<MwEhYS+&mRCFnMp8LFEn+50HtaJqfb-l4t*Sb*$U1+t79QXW1dMKC*At
z(1B8K%0_ZSJF+&U#|&w!j+{-q`jS7zE3u%4C{Q?aiH&znXjdn5ZomgH&Gx1E+b90q
zHF<sle>ROG*uRzA-?g~+&m`e-NS&`Io0Y8;Lt_73vb>Fp+}IZ_z6PZ5PE-TrfbHiX
z9NI#+uIzMZ6mF=A@;0JmHjW9|(`Q+pV23zxUZ>TZ#hlK2gV`!S9rtSPbS{rcjRj1|
zjPW<mcb>9rl>rAGwAoYQt&70Wb|!HCD@f|RS8+JuEekh&COcW|s*${T7n273i7x17
zS`Eja%#964-0w@~wR5u4<vtV4@d3>J%$~n=VP*>OhS9Z&+QJl?k1^fxqiNLh!#IhM
zLPRsf>~)C&Pui@6F`6jf09)}@=u_>!N|(sC_*|tPA;1+#>Hg;r!$!VQPPLAQ$R_!V
z%=>}F*7&rsEKx_(H}-U*r3{)H@-;#$+FO7!&s(N;UDC5`T2jXRbOEIYg%-}~Z-P=&
zizUp#svO#CuDs5%YiCk6X<03{+dELr2+dc#54z&wz38{ikNGlXtH%?c@-#IQq6K>Y
z$K<+0AUXW{VPcw@<aFg@-94j2A(av4-(goXJsgWQ&Se*p0zMpqteyB{-JKM)QqH(G
z-DTiosuJ4kPcE;V*$H1>fq3O3O(*r5V@ZeuzGN}fl>f{q2(W8X`0{!%;Ujm-<W_a+
zR#i6RgCAE-lCoH1kK@l%+TAFtdc9VlZ2(=eN?UCzh2w)jM}zAVS@#Z1Q72cpW{qYt
z^0iADTYK=a<zea?uMBINC9t=J73kZHd?5IWpX-FX*T#eLOtq}xZ{QN9e;XKtI8oU!
z$(j{<m4%lM&=62<*~+*pQ0rq~gTGt5dlBmRg*NT4`_6?=HzBhk18mwVtnE3;X4#fP
zG6<8LGiSxis=@D0)HJ`PEki~Fo4#8Zo@n#DoSq~o5=hB-?zwOCxKHbz>iN+MK87qH
zty$%__)3b%v>%YOYkJY$jOT20Elis-0LwEUiuwUVk0Bb{{r5#4pY!lPG;=$5r3~s%
zr{<>UE{=r5@B$_(e%N9=R<r8KQ<uV~>&}DzE9)<8IIRtq80-Uy0!Yv=Z;0=>x{B1E
zv{ELi53+?YabeN%)S%2T&kUC~Uz3CWSQn5GN{{!x<70KhA-oyU$TQ{z)<tf5Hbq4v
z#P!(1WuXUq?BSZB-Z{!BO*ah9JP6(V=TQ@MPw(yBk{4pS!<n5`P4gJ1?X<Gb0%hJ!
zsJ8b1F;&#YZl{Dfqiq9lF3#%4PqlhE;47MV5ex$s+}_m`h;r5xL_^ja?vxuqO-B+Q
zY3{jb-Y)-EcUdl{#np|IiOWakFf&7R@AFko=9mDqH(cIRz+iS#H3%28E^8wqMdy_?
zEH4t?gPWG;!M8DS=)8PyMeqD_7+(hfwLL90nRpv_&f?*CQA%Son9J)sF4U?LcN=9n
zM!%<fGf=Me^-z9@cKBOFpq||3`H*HgXk71f<4L7y!217~0OmVN0-XI@Za&kMIYTC^
zSOaQfk#JI?i!)bF1XDAnNP&;Qe$qLqnv`N4|61Ve&%SMY!3rr<nRnNC<@IOy$7=d;
z@b3I<3g24yXBQ3h<h^La7@I{*C^z_;s43s{9`S^7Y0B9f@>TF#%!4b`8HFyr%?3TO
zt<m5_sogsL`8nNNJ3oz?yEgurHqW!<ka`lmmetMiA5CqZx?Gbt8|gM>=P%VJmMsC*
z)$4Js<7FI_)}oKmwEr>be2Rt&QEh7m)-UXY?Oo7s4JW)C2_Jy?MIS?_)<!?%1GJHS
zSFf?|@l5ndRHdudoAkbK8`uAMh<rZUX4TYze2i7nRuiK4-%uH4xEb>b?m)K1dAon+
zd0*bJl~LlILc<O`=Er);a>{)%BI_b%M4EEf!mdDJ{sbI<Ik@)1UR=<f>BV_Vv?EQD
zH@C7(f{@8Bs3X^(Vbc5P<$wM_aL)UFSI-x1Q6zTzS7rFrfvMxY2C2Tarn`v8;~r8V
zJj>$s1ol=Lql;<P8=Y?6Ja$G^va{tBb4>?OM8lpS*F*aC)^nlWNfSxAY5&006@y7m
ze{2DFodNeO#xxLng0Gg3F2ZD_YZi{fa<UU$JNB5K)<0N<OYplIx_#MWYLZmpjF&5X
zJ9INss+vN8Tsz9vk10Dun>mO=+=kelzvlFV5>#4z=-_j$z`ps}G;@YfPhX(%It%^)
z<m&RO*wLjaCudAbv_}-b>iWAPmd4uKX3`!lANmOK=T5%CqY{Rf2KBP&eHetOeVO)5
z)<4qwNuZ`;OagwQBx}+UKB;xKxB2~0jF2G{r>5j)Qflb9E0|8Ds~Hp5_WX+9!SQOd
zv#AqJ^W=NyTYG1>{LV|P;b9eS*PF@$G`qz+j-{<{`TH4nGY$94(Wib-AoxUsG~lEq
z<r1FMx*r8;@?jHxq>c9FRDU=2?(>G&u>r>!5b2(a7AD)R$%KhMWcuN+!+Fo(>QdPU
zGpZNK1_G-mP*zY(jK-nt9-FJOVMf%jV1C7-_UsH{1_(TG6WP*bGyqc=0NZJ;y=dXh
z)>B7gGI&~!1Gitk7^|rCOsu5TXl(pRSy{V*U8l61lRitFzCj#}XDGo?>OQfWKyIO&
znZ1|T5i4=*08SP|C%HYDW7S8T_WZNPrQ%C$2^Qb*B$g9ERK%P>nSXZ$byGAo5iOVj
zGzAE&N$Shf#NL|A*{FqSMp1TZMLw-()a!rc6$*0wJKMZr7iE1e=;d8AD!HbKo<e=o
z4ZU%VSjsrPSAmLMmTy5tEqvZ%eYLCSaqjAx4^#RrW=x=aOYY60?A!mU^1iqNaq2QL
zF|<M(DvELkzoVhVe%G?FxW}vDt%s%c{xy?fi7E`!38i7e&D{NodQ1x&&w62Tusj}M
zNB)xP<rIN-2SLo547so-f@ATPyCrSsQrJK&$|F|#)Fv|rfAr!U(-dE~v|KIRGe<9H
z7}Am()~Bvk11n&gq(uAQ#J%#dlF)@tllJPP%t#NDzODL}(9)#1-Ok}M?o#bIqvBga
z1btw_d>$wW>j9q%(ASnE(}Kx2UwzoOgU0w(jDK^=EfsRQ<!u?<9PY>-)N`Ly=+|8F
z(@<>7r=cP|XCb7S(tip2s=8VJSH>-zvt*+l0$k7f1lJ{EfLJlNyM>qoC<FNXbq1}5
z0#`qDxB#5cmOsJw8f(H^?=fhgmjAXal=<O{+RS^uBxBUYbngCjj)lXW0_2BpyJ{wM
zQ4HVE2*g^IqTYEck5kl@LF^*SGrCr+uuuX%ckgn58Flc{&Hgvf-X|OmOg`3GS@=-@
zJ$DCr-6kTmHzKOty?uT{f})e-(!MJ8)QQBkKAa&B+X3}5WJ5!w2!9*WuIWq_q*3~F
zLP_|M|5J1pZcROY8y+z_MvMljAu-12R7W=wqkD8psi3GdqeC`EDedTnQ95AsP{1J|
zLtzRi3ZjVO*Z94>|HC=wy3XghpZmdjtL;lgji&HAS#vbcW;r>(pa&}4s2~;b_?uI^
zg_ajIyGIG8VLy41%Y)6qEF2tLb6;5RFIH|ZK2r!6mB&TPC{q`69e1!GFTORHNYE8#
zf5pA-FMNRiAlk-tEd_i4Jbu*uNb12PCgQ|uTGU0xVG6(BqATUjZ9&Myv%9sl_Ok5;
z?K=p^)9s#n`p{qn!n}I@gWla6CxUpNaN;5irxB5hZmizb`E9%;n$i#$TW!8ww?$&{
ztKJe%%5tMNwWQCtL@EbqC`&+SugkFg){bJ<jwMdhL}cTKpgAf`_Mr}oO*o+tUTo)g
z^hT<_xepLd5Vy{M2;Wydw~xea&8o*sWrB*YE+324&aB7c3tG8(G%F~iJ1OGk%XAj^
z-fp4&q6*1onG@M$&5MYy$ZWo{0JjnlS+6B@M`~4HB!!uHC<7U+%E@qE)+<E4Wx;Up
z?3Hg2+xJ0|4#0v7(f_KHi}AzwTl@`#^d}R&@WptL4HpkC`w2{nODg_C!cFzNb)j$L
zc9E*@=pnqkJ1-sri6Ag3y>$3q^(Wv3Zq0~fZ*RKF#oqMIR#afeLB^0m>zD0R)y*&c
zD($CPnJr$wa-C5woc@Kwl28lAd_YV)@uoHJtuP$-$WEr}stfBzZe~(dp|(T0*KN=1
zXxFj~VZd#QY{r)?9yW@zsb>T}6jp2!_*8XU`Aj}PDV4SDn9Nq8mv3w;axNopu;&Wr
zt-9Hg7_rbSFHZs*ar3Bf%a#)b(Y&&IIw^v}rs`KNIfT^eqLB|Q9(P8f5|lsZ;{~{c
zJ)p{-RVgho3WIelLA4K{9=B+*phpz}$F8&FrO_<EP;o<5FoSSB-xY_mnF+ZtCuMUB
zh3l#=)oGN8Oa}jJbvN>qjDA>LLG;Nycv9j$b7o@?d4HP;s;qyP<TV7x-$9mxMYH^H
z(wCx+9&%ZhZbtTiT@0-MBgqe`Unz^%=B)F(TNQWPdG^tuXNKz#l%jGAEkD!Rm1AVP
zK7T$@LD!gh;wXX)cQFRjy}xUG*lh(@8vJX@!(hG8pP#WMaujKjqC`a^KV>+)Vj45n
z!YU6PBR9pZ)2V&+ob8tbzw-Xbp+OeQnSyLkU9pmL7lu)>1=t>AE+l8hM&LzQT|;DJ
z@$2f@qF0k&_UO}ZF>&G+F=i&_!yexUqIcpkn(s|Rd7dH4_geh5@K)vtBe`f}?6g#P
zWttd;i0X+ON)Vq6WXB!x0D05|0S;C>s9IpO2t(W^+uYa;nAc^28h4v<DC`AVWsWjq
z>d#;_M>c)5<1KR=){0YYEo2+i=Nz-X3#BO6f5wjIvai70lQe|<+E#w4)`EO4TD~1_
z7(n$@NR9)vZwZSsLxO~%yzq>0^;apk^G(NM220{RJ>^0{sD^izpnbhHdPLwSn7d1+
z3Wx1&N_cC>hun|&E)HIz&fv}{|J{n|-xE0!$}MIoNd@U%XLNd}F+ls?`u$C6i|_k=
z0Dqh?0g`*l;eFI@3h;xlluixDHnGRpY%pzbSR=_Ml4i_tAE=*s*O$Qu@Y2Ix(nTK2
zO6z=hs;2{MHk<^8OSnmW)K)Y*OIF>8w$fN^AhcOk-OXt-UEC;07bidK<qvBjCkkZk
zD~jR=Yd^8UXn98HZSv>#7fvE_-HSMSLpi%zoKxL$wkdE^his{EO-0VRGC?9>^(Y<Z
z039nG$a};md}FZ5R_&$NVxOFukVY$-I<478(pgSIT$O@32+aVm-<xKbn_8R2zl-6*
zrNH>eaGMe8aI<8cE6+F#_N~a>HYVr}?j)iUr+EqcE2VE--fyc+-a%k<`l7&w67e}P
zr@LR;C1hT6=z;FtHfpWizRn+zLwM*-Bt0IE1O5c0Lp{RUa6!h|6{xw4nm;zpKFu5A
z+;Evx=v^t(XK0yz`n?RmhH9GMHZd!K`XoW1s^?6l7PXnaA_KWnHz3Y5W#5y=(c-e<
zX(>p#STUTyz^bc3Iz8P5xB4%>XHyKadOJ~)%f^0ne`>``>_O^ViIgeux;KtnYs|2J
zz-!?L!pD)Vbi`PF_yKrf7Mwd~CimHRlSNSIPSy3g6edh~xP)4~muY>5>dHi^fehFo
zBhdApDIlh|Wy)l-dU50;t2uD680}+hdUsPFUqBfdACmPo_mGLr3g&1`Khap{`H)>g
zz87Ivm!v4kv2a_>?NF!4G7>ozZ;&xOykB<gG;BwMxw8|thkK){_C8gxHh_m-bNb60
zOkcUlc<9yFKbmgu5YEL>M^$TPY6&Xka%PhHY9l%KpueHqW#v<$PvfGZdw6KgQ%3gl
zAp7H>y{u!keP&WZC4Bfg;)uyaL{aBqWCX@$1jpev9KSS0M<RIjYw8dhy?<6jO?OJ>
zOg?uzx#zGpZK5VxF6}|1Q%rqqLjr$aJK&S69jc-}OXruf@1b;nVScujApAFp#=%8D
z_Yc8pamsHwf}|y6?iz!RW_0&n$q0weta}MvG;f3ax+y5FlJi2QsK3N%3om<F>E)bk
zmPg2xH<uGLpFh0pJa$I&iR<r#sFl>^b}Co+Dg9*VF{<_1_fR0U&<bLsX>6a#L#*&H
zg4YLLCtHFZzDYc4@mi0B;T`C*noS#!s00c2YKuk3<O!#e@j4mrnnQV&G<mwuqh<!~
z2krP#euHgP>Se^&oT2`a!(5kR;n6U7Z6SpI&@c0<KfYfObDvh1zzB+D`bH3R^GnPJ
zO@vnnfaKFoIe;r-leevfkCZr>PNppkS_0-@;Kv`T1nB-3{P4!Z2O#Ks6H-``4bin!
z6iEo&AbDgd`o`|mwgWhTsxv8JjKzVCj3M;*8!W=qma;w_Outm304u)I-1k3Or2AcM
zGO;}jHg*ECY{2|&&mAqcOssZuiu<@LZ0cQ3BFlO|G<kRZC8b<m(o1)C4td7&H}vZB
zA?ToWx9@-18d1_;aE#olb@xkVg~eU==_t%r>4iV($j+1}Nr+Yh;tKo%LMXd3Fum{e
z%c1#91^N2rB6-s5k_f|z6G0gkz+~)KRAF1}yvH5Lkatku5I^JfQb>`Th2NE<;Ojio
ziI<%4(sPugQ8!4Ro%4lKrjVC5THI>&?!JC+!h$S4ycRa{M(j`#8J3VE|3clrYb@Wh
z0U~ugc_{<ttTLJXfC<;@h!#3e5lhxD_Z5A%U*ZIfio}Y|ERnsuywBL~r2QrDL{-<4
zfEY&6CYt*t_Tin3EK#+cFF(pXh7{PqD~wuq%ReaJRO%KY^+o2fg=oY0B<k#6Paxd2
zG0a|-G9KV4)6UCOZO3XZ|HZ;}rB#)Rr)B|3sBs^gjN&2CQeQim@%8tyP5G2C*Q8vh
zVNBQ{9ht7;2i%xhQ`ufMeA-;K$^=uD(5jt%F@d%&Nwi`ciUo?wn-C<m%!68=D^Ra}
z7hX(P{m2US0>Lu7M=-9t@5B|`La^*qmCbZ+Ic+|{yFY>4sIS7}^JUo<2ltH1I+!CB
zg?_WtynJ~*mO2?lC*BAT(^ceI0UWk;^~<*0xo1`S9<s~#l=gmRnyk>6?8KTm$d565
zp~;^@&GaS@NKCqtb!|YM&E@1#{P7N(MsfI;T*8#ut7yQHwbv8+1$t-WZ-#~or!D6!
zrC%s+u8s1!b@h^f=qYqtiF?e%-l?{oT;$oge<R%lc7qwNF|CsuYIzAkwWb_9PfQoO
zZDe?NgvrHER3KM5;{`!eCOT!!U$q=t^HA5&TupWi&}V_({|b(jD4Na3J)%C^S8Kid
zncmcCh9XRb=Cg!sOEMtf+Ed;RK*C}KcVzR*6*<trwR!m@vEI4a1>**?x;->hn%|*W
zwQ(&Qoqw$&gX#)O48F`#4FUsli)R^aZSRz)D@$&p*s6kx|2lA&9{br+n!7z!InQ|5
z?xRjhrkjo<L;<-$)H|ka&@Osy(o<UNtGC5$Riqo^5wRWVbun9jDUXzgA0Yp#ZFZSC
zx)?-GHXYMm=kp`lu}G~~($LU&iJF3zir6tn|6D8JB7QxR-`ti6KIP?rzP*=KnBvxw
z%xXjM<+-D%LmcEhPw9q*>^8rJ+ifT{LVzjvi{-&4%BlD&(?7)Gf9Wjx>kqfkC(u(h
zc4@Uu+c`r@$W6xIUYEng8oe^bOeIU};qfGkH|sff*sSy0y_L$>nf3;(8E#AXd^nUj
z<(G+mr_{OfQc3taTf#y@ns<B1bwykpT?oh!-9-OWB`0AFj<xnX_;zf-uz-CB+8s!l
z%Au}7b<$$t+7EEdHF#A%58*wP+C+BftsaYYd`e5`3Ry5~9)TPK)R%NA>q`F*0Kg)D
zq+YM|Hr+F@F8{QH<V0%xs+N0bIW&7=yqgMhZyAZ=>^N3;%}I9SsWVq5IXqLX^NbE$
za73yp>TrE5!p}VUA0YfBzwyfJ2-TndQ))mWW81ln?KZllx=s~*sE=4n=y4RiB$9lf
z__Zad(rRKyH>a0qUKsRliesBFt<A&8bm%l;iA$fIv06PlfTJe&FzIte6S;Std^8;Z
zg}lCoWY5UmeoK<r1pO1R1|k))*%+syEM%NMT#l0kF*wlE=C_$J4hB5DUzzp;Z}cxN
zSO~N1)kCg$TDyv(y~r+=r*RqRDHgpr!thiX8Z4vye$X(<iR?AD5AoFmZdKlB=ndC#
z_D>~b6u#+wr<gMFK%j|DgmR>G96r&6Vt_tG-1sUF*9aDgTrrYm;>F?z(N*QnvEa=@
zdG|uQhSh~`n-Dt_>FUcdbH0R*?PyWqszLVywPv@yJUKmTOPd1Qc^;kBeH$>ynmOxj
z@1-)u@mU642zp;<xy)w4abzT$9%D8eLrk7DB;U*lP_=Dpi)VW&k;rdu1Mhc*r}H>J
zf%`|OWWLi^t^El#W^b0^L$zNM9JU`vQi6P=H(OIa?&uqbim)cwmOn1{70i4l3}A@l
z34gzr@3XSIs05wD!@jae35#92v~to?t2TYVba)3d|AO1Gv%b52VdUHM>%Gzp#A~EI
zQ?cy!Y22Bi=1wC!nRWNoA@NZB$o1BvuM)fTq3rTmZ+g$+2++dXY&q(+Z#@s{ONHO<
zkc*o%HWeS9_D>2ae;_t%VouXD8^H*cvMYM6+i&P93hGDf*QJDEk5<kr$%8SQa5s_^
z$Y>c-sX%y~2!Fb+ewj<SP)UzP#QxuEJ+G!aG`S&n<KIcH>p5;YZ|#g#)6K75WbYv0
z3Su@`;gNLTyy;{%`OvGn!m7`go4iPlJnD57WnSz$&+*jTb5H(J;U>+NQkH6eW$J!V
zl<gl~G%at;!+8Iz#xLo8U-CG*J1=0sr)0}8J`Q({4+JkdT=d6@^q;z=P&<z$=Fa#?
zFF4v2`#lL}8CQ3NbU2(lJdbtX_%k?W=S;^^5dC!|t<;fLcB|az&B)ryK{l>KhXh}e
z-BTrF%%KeF>A|__9e~DtscjF6gTUK(4B<^sTHF2`2%-R~m!u-TI6Ii?mzQa+<SeX@
z<-8Vi%B9wDMxU`iY5s`RJz1$I<Xv?DZJX3XT%e{iZH@gy<?!mX2?4qjE2d9Z7Cj%p
zmE3Ya-L9UkdI}{sJzcyk(02N<Vk3n=S2KKVddTnwORW61d8v>ZX*Z*4)Jh==NF{Uo
z;Vqo=?tpAfx*nRN+}7={9Vsa)vpAmtY+NqeHFa6Oe;MmP*PQ#ioTG=&dV6xNo~oVi
z^9fh=VMQUiaE4ci|HGTK>1z-fBWd@se9*2qW1MwD`4cZu2ubV}6RUZcdG%``O(8zF
zWY;~KBYQn)R^tt}Rw{mWO7|r_5EJmDynpaU5h)~9FAH;&E~3>AWuo83{txiJRbOi5
zJS`M}^mEFRgF}@3m%7b$t%E@$!}i8EgX8z?yYcqf8Ird?vWzC0LuMabFKEDTK6YK6
zaBiyim1MRJW?wTY=j}W}XqB@eo!ygyu%NX!J1^+ys8txcCe<6EMhCn#p&PfRxu_fa
z>N80ZUPQ>{B&<Nc%b|+Azyr5U%yPQpGx<>9g<B1+n0K+S(y>OWqpti^{vUwC`%#pz
zlT^do>=dnW$}CpPkMdyx^I$Lbce~W`-`&kxtwx%**=;(Vf^{OnkM`(i-E-KO7TG@0
zpTTw!L&G-)gXki;#?6t&N<kcB>iD!CS+R!XJDB2v*T2;7H}t<=2-e59Qy+jjr=f$B
za}qE05wxp-^R(3^O%d^eCBzS@*vMrwMNyAP2Yg&pqM^X&v~)IlNS$c5RS&j+wf~Pf
zc&wHt5vYT_50a`OrvP`;<~5rL;0<N2oEmHK8gc*|HoRM}Dm?m9kA4Ux?o(l|-^=`3
zp~UpNFBkcxpi0*pm}87i7Oa_!JfwK%65JhO=eQfjy!TAU56)YWEsjmLAR_6xMyvFV
z2f{S@6(P}cIywJOq1ZQPi~}guRICVc!1NvTzQQ-G(HHxz8`WlXz8T?b-%}Z0Boz(t
z&PbnUV!!m;Evs6vJ);QJIWc_jn4a8W!=D8nLN)|*EOXg!^4kg9v{=?}o0>kAz9R6e
zUX=GV*3&9${)D46v%%-7Zg}Ta2f4xFdZq^yGW!w@YMhS4R+H))@T>fy!yczHVsVKC
zr!V}P;bI=AP&!T0y~R^;xMl5*S?b^VPd6?LVnfcIsXS(vvo!ak@_0?aOiRgLyz_x0
z$2CS<hOOy(i@bZT8<UP@g-lAci_J;N!5;anTf3RHQZvtDF~Z#nzi{eoFCP<16N(W}
z0%Sxu)i->C0UUW&{JI&9OdHnf^#@<YYat$Z(#P&HN$XJdX(M2?21)Ufj#jKg@Iix+
zF3n8>n7t7k!yxcE_xU`UxnC$JkF6>?<ky7rMc1wVc#C^D{g*E)hVc!DYn0$)cR9FK
zh%DbNhF)tMdMR=wRY>d5$FwIq$EyqKi#tjY6H)$GGE(Mocqg4d)D$1jkBWyuGvx&G
zCtN#MPAz+#46iEz13!**=lDCujcCM+YA-DR=`J;E{YHEcF8Qbxh21MX5yjHKuZ)qj
z3Js&vvY$ow)>p=II1gDHpk1CVTxA5a;7_^Q`TvmphUn{VNKN2MkG=(zL))9*-DIs~
zd4z~9Osqg|vpX|o`q%!Q`k=of$gBS}=k`~N=8@dF>6^y*5lxODYkvOUR`6PBqR$bY
zmh?m#pd2bZc*#apXHgiVKP5z9mE@)E{rjWoUNN_xP=*<WpXW;B^0mTg_`KFmPJMwj
zmw>ja#KJv+!XP2e=NEs-EZ_hb2hZ(WmrnUJzQKY0*rVq~cu%W>xWwFe6C-Q?sUdq^
z#V(msFlx~+r9B+JB{E;D!rT9bv^>-9%+~X}ER{t|)nbB=|L$siZ@w~@#j^qdpMi=t
ztaN*<aDK&9Rr-g|OUT;$jrlGR6ENw6lr*#UXd0tnlu@2p7u?TtinPrzD4hoMjK4P%
z(Dl=r$0NoIn8lD-mhK+*0PQfu-g=dG73`Qz>A&4P@KdnI6Igoa!$P%mWf(Y!%Uk*s
z@@^OAq)_%h0Jz>o*B#8G1F}}6O5tJdZ2K>q&YpVP$~|eZhg^?OVW`0Hm<k-z{c8lq
z2x`*h_If}Np$5rvkpphJUDQU+u9%Obd}=d4!TXf|%1Q-mCW|QZWaE}2pjR8?_X@uJ
z?MyAlsPJZq9-b^aDKmVvYI@Is!~C@R*EnaWZtuI)GQEOX$ID4V5soiZ&w9UABWI2T
z@uXMzBtK?h>V4+|(?h10u@93>P5*dLh0MI=s+Ic+eO1z|XP9YDbPGyhF%^{Ppx<q<
zc0J=f;=jKG1iD<x44jgZ@G9)QN^8rw`yskDE_6<BU(<{Oasz@t-Y0_dvTjH;J>6YU
z)Aisu$p#QVk3OQ2B!v%!3Qf%#UL!eVVgQoulZ^&EqcWyN!^h$N)<%~&%^9VO8qjs{
zM%J)t7^}^I{Z8h?oid$L*R+B+H@R~)AW;tg0|buozn(x^(V^0(L{%ZBY1Vjlm{amp
zNhOS7%qZ!cw|ncOlE&S~wbwtMZymy;z3Q(&5SVadh+TRuC+`2RWcfa3Qzx7aCIeM}
zCx7eAl37yF3D4o|q*}u=ZrWlzSST~)DqpFHOzlS{Uy(e975QabDW^^{2dBH`_Fm@h
zVoyxNwiH#d!1Y^+!CGg7_L5%z7L`dquat~3lLH{e+rK@6Dw?@kn7k>b4t?jNNAjm|
zt^9xp+L_j-o2n9#!3sbxZmb3SgTSuwwigxmakVN0L#3M7a@se|mUEUQc4MNn#cg<s
z7$qnjSFEc&=r09^`RuST$2|&iF_RXZRn_3_{|XjePHp~2XK>YHlOlLqnKh8BhyPnF
zR^D=Kwrk)=HrYD-L%yt42K2<8O5ViJymrIV0rl(Eq=waE1sP0WnW>K7)WzIxa{Q3<
zl0jwjVqIF_6VS5s!`TABnMkEhpC<l2(CpWne;mJ_aAzf@K9~-|EDt%bC;m!Uq!cSx
zB>C44HSo)AvAil2ayH?}t$^_omno*U`YHTfJfGR?$%kXdsJt7vH3RJowb(X4zkTSj
zG@~wGQu3gr+OFO3(!^TK!V8}Oa4<v|sD0(-+(MX;L<mSgvS&}368co8Z{iaRp)Glz
zRVvC%(Gvl0d}H^=+EIK8CF2Ud)T${#{|uz)SV2hXl;U?Yfseb3^hs#)4{>g)IOk-s
zar$bebpT>TLB6U8<3mv3yPN>~3u&QV?q2eOja3j%O73z?h1s0pwBD`>EGQO$qjz$w
zg%9AtT7uEEz)2;LgW>bqb>hpNF8HAs=|`t&!x(R=J)mncBxS!GSKsj-r96fw-pN<X
zDj&|%V67<?3ZTK>;dA=jbB8_0$d?W)Ha!){5j|10j4tMvWXOmSQI^?Ufg*T{-}MC<
z>qVSgLi65cwlZ(4`a)Bg9V{T`1E|8#O}dPY<={IZe^yQ+;2P@%d*%2`GQmbTJR;u^
zx{e8)kLgMiaKj_oR0A5&vOs;j`3d_xJ4)i6;aOpi1kc^5h00aK^qxq^i&<~UJPwd2
zLxHi}o06e)Ao%_+cG{L=!%0M6fGNjxXBy;)EtrsybKr*CO04v&)J73-`=ty&-nJw&
zLZ&6|3&GuuXkFaAuAC{cG;Q0&tt#j-4jC_}GHS8DRo718Az8&5@z%OOf#Y<Q`stlP
zpeQ%q)TS3|#D~`svyEa5LF~w2xgXM-9KbWch6H2i&M?yIy}<0F*HIj_KsO;tBHNt7
zf+z&Lo7fojk`}D0&29r~0G*1vX&#R+WWzT6{VGiJbaIt9T+8h>AEjnwd4;c>0!lZb
zm66}9MiFW5V>(z^QgXD<^BQsmNYI{_(&3~ElicMi=BW{x`is8s4YL2F^T{1Eq+@&J
zSYo{|pOAzR5po*4381fUl650jjbQmLLOu%Z^y^z|U^lNm(fEc=GG$SB)`U~5zbc{p
zdyS~<w}e{3@r^pE83{hpA9bkaSnMH2%qV>Nl$*Z7%!7!Qt54?@k<GT@@w;6!YaKfk
zJ)F1bfeChGlR4O1C;HAipQy&RI$1QH>oVgD`%Pn%R2_Yvx@4wEmwu+x7L&i83DqP>
zTf3d+uFdiYjheML`3NjxE`MdHxdigh({^H9Fa4IYba-C%y4Zz{<JXzMTg>vW`?_xn
z$@=Bx<;QxB2J9YXA+It~|JY-dQ|!zPY*cT+9baei+<E;T9nsU8AHZ`cC06?sQmIJu
zTbns(1Zz$B7vF>m%!B}<ak}w!tO4wcIRR?KVC3_b+uzzATU4V$w%$E)62;%f7Gw}S
z|0}ef^Ag|Qk^C_dF1jGe@aP@O9N8(%vIr|=qp8rg&F&<YEqR0YKiEo3T*@}CA+k?w
zG2l@8t4+ik<deU}hO11W&M|j0oN~8OR~K%2=FDCFnwFY&lh<+3N74Ob>69CtOHWj(
z^3sfxa~6Y+BvwTFcX+`9OE0+tG6fY(u$Lk)309b_m5q6306jQ+o9^%wos6Q;bM^7;
zs4IT81+LD7e7|oX!SH73f-9!4bHf4{(%e6J-ETUP_^z&#(L~7H71QGJs49E4q6!WJ
z=!ol+sJ+w1(|>>G^O@$s!^&cn!h|rxw*|+WML%-&7AlN^!J>j6nI)h3&^BY_DF*Z(
zPj0Rdy%&`dCyT9c=nc0AJk`D86Zd+QQ2GRfJDGomY8{47NjJ1NW)B$X%&F8h+A+zD
zWTZHR_`IqAm7Lh7RteQSQv&-T!Evb%Peo}0tY!M8u1iTgNr(KPBDdv(r~^{Z(}@yZ
zWq~%ry$}kqQ?HQC>LSufH8smU*3=fsuD=%$4_zY--BM>Tqft^Qru`9W)ykRZ1erK}
zWaBX4#QcYmdyquivq7%vSkE-(`Z3c2h9`J~hMVN!Sw`yt?*(B6mE-{U>)}FM1ALJ1
zkO`nKH;UCtQ0)U9cHa7ITr%A8C-XxIX^SpK;bdO1J}-n?r4yQ^nY!Q}v=6GEestga
z0bKA{{C@!EkIA#VP4XdKRqf;pcd8~-MQz&vVUFh)ArL~)>PA3RO^@X2Oa5pl19+FZ
z7m?^4!lTo(pOY;5X2&|OQPv-7A+40stvD_76;~*V;n4wPD+4P{LWMj=di<4n2A5ks
z3evk$=ooCcHi&G8kvv@%>@q(&<u0@Q0GV{mF!MBixE7afnFV~|aDUy2#^1Ob^u36W
zgME492_Y8~7;ev*^=C%zD2V>M73?w35bX{A_H~;>NLJU|rT%AosopbAA@F)`%BaRJ
zdcW(8&Ma%Sv)PyGd~pgx{y0H4bM?>U*O%eHm3eH_cvET+x44K?Qj@W682RUCDu0y`
zg8u$w{HvQd)!|6|F=AjbXf+5ldCH(Gm=$p4RZuD2<>Fj#`*&zYuI`ePEe-Qi=%#4#
zUHm1X=y)^*FyM<nh3ysL9(N0{9qN50H5XG7{`mX*3+u#aN?hgLD>8xNQTcJjO6b_(
za;XJpP2l7<tS7Fq?{N2AN&9KTgW8J9r)6p+fp4eeh5L-laj2v^{G*f)1bJ3Z(X{co
z!EkAQn<{yhkB=RDP=Ry8Ex8_Pcboq;%$PA8!|0|Rj~g!cUzY_csyN~YNJ^bDNmFo|
z=J!`SrD0||zl|;!NYhMB``7pP%5GS&czl~KSlA^59H2V>+SQ!hW^sHJG+z9UE!+up
zw|yFKt`|dx4=a7+B>RDpMn3?|XZPKg8wHvsT{KIX%O->+8R%J-!ibtYnEZ|jz(G#%
zW%bZl+QmCwnUcD%A02t#C~h=0NcCid7rrv{V;A><Oyk&ST=3{am<BFAHX4qJY@5Bn
zyXco-S=x@P3iT?ruTFnuKC}?D7kzjO53inE@cT?txR@JgGDEzbN@l-X{+^SqQLW}>
z+urZoQGE1eIagfm?*>lHpJH>hUZf>)M~)EWNAmVmAq*H+n}u=#A>join<1_9w)@(V
zA~$x1t^TkJKURMX75MQhJTwWRNO2{L!t@f;U<&WC-(fYg3q2G3WiLvR7h1T<1l4|-
zLjh4L&OHKNqVO>n>`J1GRfe-PP=l{E-rCcNS7pj;^$o+=pBST_ND23*l<)69v`<N$
zv(lAHBu+=JIxqX9Udb}6W?ZWFUkY;V!J2NfzNyu<%8_oJzq|aE{<oz-=O<jVAuHmc
zPEp0^F%6#b6Oi&PsZ1m^+<QzC9S8(dSOj9!PNnL8tD**T1$@&LLN8i*rX_}CO-1Ls
zj~F9BfizzRsP#p;H-(yvu3a#C)jB@K;pB?0Vg4%5ANG|$L@|`BBrxQbP!8gs6MLqC
z3HuoDj_bZXP-NAckz+^lWcg`yJgl;VNT_I9IL}=kGO_yH7zB;NNmq4zFx5FaeRjq<
z`OG7;NZbj&=^d4Cwte0ibPF<AZF9o@DjP14b;uJ}!of_r4(@*25)FNV#&`911m2LH
z)S{uqtY)1#S?G9{tj3n9A~WBF3pxs!{Qt5Gr3J8Cc1#FOu?3~aL=Lx<ws$MHccrJF
zyxZ+>vGh#iNL_put0}AWU&ZB3z9@?^YfK34`H9EpPU%Dq2Ki=GvT4Qr*Qi$v({&nl
zKS;@j4s6xtDo-Tw1y?S`Be22nQ2HvW(m61>M3Lv486T08B+|yzkqu?q-)qQcmppQ(
z)#i4l9!kp3DB?`zGM`c8JB0L7Ujxl(F-U1w8!)sF?R|aNQog>x`bn#x03#GOpr9F3
z{Gp)RS5>m-Cy3*Usxd~zXx45$0g@G4M<gy*lq{lSAloF~zuSmDLvpyI^N@0!RwwG^
zskJkl%hc~dn!YZSn3NyMbF&PgQ5@R)<xqQtf&Y-c&>Gvsv3JYFPZ`m}atmHOb)n-X
z8r|R!jaBoqpEbs{#SGJ9T@=|djR|+rk=2slXAxYJ@Ofqup>qRi$1(XdHl)Ef!y|W1
zD6OMM2(#iUh&u{86Ii!*x)TmCd>j*jSjRgfK>Q8|FqU8*%M*&>bc2T5(I^IM(^kHt
z$P|!exhLkV%?7lME)5v{ZpM5k7uT-*7ozy#2FGN5(>U4lI>kUYbRUTN9Drj~BtQtd
z8YDJPofYuX6S-RAv5zxBq4Xz@l{SbP){^9K^oeKFk%_&20k2I4b<^BV%DVrw`hA=N
zNenKQY2`@kC~YjZx|1hHcW_fTS>zM5_?0LLO}#18mDwFm1_D9g`N5>;J61IscAi{b
zGxG#*$&?9d+!s`<AXSP7E4Ek}D{#d{m1)yHiz#y=Us#y|t(|(3UgPtkdU-#xXDryo
z^&_tpuP0>kc>vqUq*|?w^<yA=Q9H?al1ZRQ?Y|gqOV23lL1F6aaCT83C*?DfSA0d2
zuXtDGz#p&c(^DC3{V{}W${yY-*IqwAN<szytX<Bp(J2pS{FQ%(Mz)WSi90WwKWMS7
zN-MB~B<N;*e`~HXG{j6)^pM_#zJaey)7(Vuk<8|b^ejxHXa=m95jz9Re^!UDrY4xn
z)E)i?dw(Vgau7Zj)b4`H{8K6=ZOgT8$G(2X6GO}?N*B>>@iW7~O}*ra{yx%(&hUdQ
zs2}1a`jT@bf}x^{+;LL?AF<=;U-(ofS(nqElv`K2CmhdhTkN2zqF^r(?)Is-L7oHT
z>YpDk(JBXbTSBBa8c|e<ji2j`|HCl4Lb!iq(+|5UU7vDWVr$uFGccvm^Q28J0fUb1
zwF7|lPlk(a49l6HYoFhzN*!n3PCJfVVRDU2W2A<g)&I4kNr{=Pldzo-wA#U1C7~m6
ztHhAr)Y5^PcE{+a&PQDCp(ym&?<9BLGU+ap6z(g67EMQa)|j)<BVe1H$kHNf=)^)A
z*)<ol$?dbzj6j+E<R&JT<3NVDNq%SX_D{kTx>AX2f~LrWW!L@~`J|Rxh((6`=mY`9
zo!^GWB7i*{Rwk76rqR_cbB&>a<Wc4=^Xux{35SN58@SLt3cz!jY{Ue?2wOp*jZ@F|
ztlZ^xO>D2*Np;graA`8ZfSyY4G6d|GyO-M?rNfIj04)MZ7&Ti1a?UvJ_4Whin71=;
znVO%mgSCF2#~_(4j>H#(9lGql;2Fiy%s{dzSSFkb%edLd-6}L%!)Gwz)uqIIo1d}O
znXs?NRlE;Zxa%GeF}|4m5)u!u6Xn$oyYHvvdF-h43sL*nBIA_tmK9*b{C1h6)USbK
z7os!of1j2n=i1mQHVhXPQZ2U3IF<k#Hz2c6d7aDQEPnFnCqqT$F>-mg+07$MK3v%9
zQmC>v5f;QWHL1BQB9BMk&=j)aFie*~x-rKl84>+vs`G7$n3Dtb!yk-E`P=P};cVa3
z-5yH5KQElJm;U6-lUEqxk4CoUhQ?|H);WU*wMM@xEY_;-Kt3t`iQ6UEaK{BnpG7Xf
z{5ZWRik<?){#>(x_TSCx@6D`#FngTi5`_?O#RWTwjLMkPx&D`-@E6y*^;2Ast0jZ!
z5s*c4Bi3PwS)c3+H0D6M8nUt)`%4sYYQjqSm2B#y#l{w*4VFjn+295skEk4}HvR6{
zOn&9$iZGjCJsNt%ao`}U8z2;mY-63=Sa;Cap(6lZa-kFVV%~y|j4;R5ipt<QCEVY(
z5!h7{|4S#K?97Z;mxqlxd!FwqgPy$0CNi!L%4ix3<$g(I#a_*KwR&&t@3CejMdz7>
z&YJ#GG1D_6t!`{o9|=Yp7?UHPU+xPLM^LkVxcy~!JbJ_Az}FTiYUy-aTX5sdkYsD<
zS}v=)OKkZ=4gMT^D?gcN1`HMCT(b;{muL*lt}Glmj~BB=CYY`Qhj7X5#G8_lSC^?J
zr?@VzTH9P-F`L%H&)UcIbXRr8jDpezS{|x$gi&Q@baAhEKUPerRrmNw^ZySJH=QL%
zi$YEO5Va#cvERT>b&Cb4kVReI4{*?#2bqU*XM~P|bKXUl?grH{O%>_o&-v3+io)|k
zSzOw)sY$Mx{!Ee$4jqd&=7I7xL182-t4Ed=QqMCp`*+it<(=(W)Cv^*u9zo!>B*sl
z0^b)3Nm?Az0yCHj$#mR}eeh*kc=HC$C16zT9b%yUfNZJS>O`mXAv5|E;k<2N#YP-$
z@n>`M&){(F6DbJ6LIgPlG_V2F)je+C>%-AI!SOkE^=X_ih+$BE3Gh54{e7o$#vhZv
znP(D}jPr^PsF}Gq+c9^Q%=ggvkahI-<`Gw6)n?J%xS6K(SWblG=sBlQ`2!Y~jeXjd
zUEPW{V_e2Blc(az+3p%#(a=2d+6`U`V~GQ5$6r~~+hpyznKtN&8U{EZ)|Ait)bY3p
z$XTqKRf#Shlm2u)MzQZ9I!d~C_rjj><^OvRqS(Ow5XVwx!u!FaBcZuT(bU6&N@MjX
zTo&eD^PSdB|4%YgvE#k<<{rf5EVh@WqAAwQF-N-l9xDp2u{ke}r4L8)1;fF@y6L*Q
z*fo-w8i`3xd;z5WI;?14-YLOrSGSPEJxF6s93HP~vEyNKe=@h)R2YMchg&2C`&@%l
zepRf<`}x%IW4ssGkq7AHw%p8aPZ1H<*oPt(3;O!^tPb7QX81Jo5s96t;f$4DNb7j|
zy~poE9+MjQ8EQ{CMPlz>gP+sSgOqMh6n^sYY1XTOr+t@xUC-I13jH%Va?WJISy|hw
zY_%NPTG%XS_RC)r>c9djU~3p*%j!lfM!teI^zZJou*WNQaFw2Vk)Pf{ZwlH_Rr;@t
zq-4Pa9uqX_{i3;-_k^!Jzs*FzG!%fz|9Oq3{k^kKZ=;a>ope(VPjY2Htyg{Hvg*~O
z6$=du(oCS}E?p|TB&db(r^%`^wGpm`l(G!FH+x+tYkS2?jd_xE((f6{IUfE58r}4f
z!O!l__-_<Mt~y0Vh7=&-+qd~m$I`^F)CNh{H#JItMt2pRABm<mMy;x<>&ftWxChoX
z0xN}IIPtip-+&I*@PDGUc1oLjlYfze#gMly9*BtxAK3|36Zcpk+aV`uKFk5}LXqbD
z$$sw++U+$W({G;x$H}h5#Yl#7rMm!9CDes`RAe<TN685A_3`gSSzAAIJek<b;JE@Z
zxqCfP87dq^5O!B6JuNQ8ul9I0Z0t)s*V27L5ug`g{4<FZ%!rkb`xivRm^O|X@i!)$
zk)8`vuZ5bJp|%$|<#z1yDRmisE<1KAI)s^TqtZDps4QRhY{A%<Vt7Nn!op4&&86Ep
zPD|{1lHoM1j=Z+Cf*Ynh9ZUH9912Fw-Bm@_0PUf3Mh_nvX#SiE{9uI&g=Rx^dh(kt
zMj5XCSA1%_?o?LMQqCwum-oBKc7?vTjp}QmT$YwH#p=;AL?u*<n?&9%0k)Op7uosO
z2R>J4>(wy2WooB>$bJEGdznT%|B)UHSA|ns?C1Qk`NHwa?p4V$Q1s*2r(Jk{a%Bat
zRc7bsj3#+YW4pOS(J{lGGo|~upbh29R8_}j$sxgAuzU<2HyprEmsR&H`vw}iaF-OX
zZ6OnFqsMVK-PM)KSKF+}OwkF~cnBoEaX$8dHhAXUcbLwfHWf0Iu47Z5$ulP<=-Mp&
z_qsKLU~E@<nhs1tUab`^dyCXc$y~a>f*0tN%?%$uk6YjsBb|5ggiCSnIACnyp1$_q
z@T%X~VmS)@Z{S@cQ;zM!DRo?P;-6F%uz-=cPdJIZv^2%hpkon0<+%CfX?K^q)&oBb
zD?pPcyzeOPNg}Co>1f$lql{qmkj#(6<G_;0GpH_QteTX!D?i0_AY~C|lAOooAei>U
z?9TjPuyKYsswp)X@Vi1P=#JH6%;+(D0UfE0BhuV{@f}Vl;0CDWsSeMo2A{OCHpyX_
zMUyPD?S6WZ<<c@e862VdQ>VKp$9#In`rYMBy$)xTC}l)<1XK{Au5dCfh4DjnaqUNm
z9c_X3(ad=y=9z%6!Tg>v>aL5>Z+S=ZPb+d@g4{V5YDIn$ZApOse}KfYUqR~>Mf&`p
zCVJ%JuEubNnGjp`V(m+yQ%w73;k>vhR)^asim->C5#;x~Y}_e1DecFA4&DJdqy?*3
z?Xx=#&}}5Q31w-dfYrTFMO~OPmOerXSY~IBHp8w!JuX(_t)^jM23Ruq`vO*o38(p2
zJ<vAM-e6|Hbl>^);hk~=GWG9T{nlCBaP}pKMUDi1A}20ZpG=ofJH6Z+-7_fTX7mD^
zeHqC6gE-acIN;>~vKvjQBP?FM#PMiP^Cj1|yD&`*66~ocdW}`Y!_}tG=>jqy5Ee=i
zBlQVgu=8TuroxZ)o^t*VFcbLcq?e$T_2QK?FwaWr!D9vn1Pd9XdS=)=2-|s;A|Xm+
zL@+*b8%PaeLYWO0nepD7N9w#B#yX8wytMP09sg&~;^qmJ#L)3YCTH$31wHcqX1MmR
z{>9TL%I`?La&g6YPbRlK<!B{~%&$<j=XM<Z5Jj|Y6N@k|Ukp73Z3oNiT08NDQFO}W
ztPP|Y!V)D}*!fDW-hc=-ji0kbqf*rDR>D(Gx%m9rGR|fon%6pI9v$y)Ft$mL;KOIz
z6{UWm3+KydJ3hJb?2Jx(JjuN4*6n6`U!`C6lY9>Yl_jf@u>S9cnkPi-w49zId5Win
z1dBN5KZm>mf>3hGA?tuz<#oJnxSAl`_8zg*#~=A>iNy3MTJ-(r^3PhcH}B*rh4z%z
zhBDVHN~RYeX1rJ;KYgt5h_Yl5K2fV>tkX?V7RZa$;|P>y*Lb6Zeo7Y+TIJvav5b19
z)@Y<+nHr8}b%<6xa1fdWJdl;bvK>9({dsJ>%40I#xi|B{T;v5l>=%a2n#6Ja+m;9Q
zmJ8j*>dAL^W?9~P_oXeN<?B<BucFnFUXuvORuMguVRZZ7A}1A_FN2Q28z#IPp7g>{
zgSU+qwv&RZZSkL287RulJ&vjZ*rebckM1kBW~nb8aQy>(@M0*8;A2J!*9ujFJ{L>>
zO!JUnj+*RsAVpz3rM>&i)uyh!7Z93f;+Z2@-DR&;rZFgQ5vd+jA?hjWTkyM*mh)`B
zpn-W_SzRw9&dAO`L?t~Le8intP;OV6c#!u?n@cO95v1LYtur&a9WCuKLl4SswemTJ
zuha-kPZqd$##}|;N2f4$^o=@_osw1L@Uy%m|5c#<8lp4p8+k7gie^lh5|cMp`fOHz
zfQ_&s)Do<v)XbDq{4yB`mp+oZZg%UWjm$)&`mdaM&9+8!>I5bDtjEsU%Fq4eLw)2l
zvXCiN@nyGrw-$6VkyldBQ=;l+^q*R;HTDy`n6%dTrZW1s8`mR$?dzZryM~z0KU$J)
zSz&V@JSm8_@h2LMg}cK5dsv-f+jb}9m53(~f41y2g^SOk<2}nSk@NI9trmRoV6OTp
zou=52%${hO^a?ZmugZysp+-G8R}vv!+%JD$Wb&{*!_hO{-f5oP#i(oEIJ=x-IbzYY
z-*aza_~s5?ft}s9-9#u#kfmJ=dkClZ+?C(Ib~#`Nx$9+JVSR3T8wk3BC#s9O4{&Ih
z)#~rNCi>xr^OhNeQW&a}%mS^huVM@xp0{4|t442PAte6{k+r_zMY<)#=hKl4NQZf%
zRadu}Naq>uw`QNu9#zos6R8ezJD=zXTI2tN+bB1ssPx>$kAGA|+G>#Tb?${C3X-P`
z{Ta9`z^}Y_I*?t=Ji*eXBDIk8d2_t2=oDu`#sYrFD%|`gpS|peSgloCYY*cN|H>h3
z$H*w_mp>LeAfcXAc;lJcG!HErRE6Zb?5}6CHy!Rt6=q`6&Z+4Q)<kMdsGRIHTB<t(
z>LR%EvsQWKwVmLRPsU|)z+)AjTHU7K`N*(=@$&Ih^wOgJL?Q%Ts6kOF1w@b~stw7r
ze}br}zs2ZO6PL}on$}RRts*Xvv#)9SKRaPJGL?7B+f+H$K|Ze$(xuq@vf}Qjv8<Dk
zx#XCsZNL0F&0C)HhY^c`Y#Eqdj;C@c$0urfA*~#8Btzc^CS5Iyy7M0<Vm<nJKfgA&
z>}lCkh}jP71mT?3Lp7&Im3l+BllM}p@ZS6#wAnB^Lu(}yC==<&^^uyKWC-4`dpq?k
z-&jCuFI&fkLG6ROdXt%z@%ZFk#B}aD&OSZ^aUJz<hn6;DyF=a%FjrM-YV-03_}l*o
z3U|T8aTvaP;h@-%Z@k*UOdf*h4!31IQAZ>RnTxh~DtdbqB4Q$9K59#akI+Jbk!3mu
zu^XRX%tpplj+H%<%rwC`!M4N}tkLDni79^`_5qRq)K>KOnZ6SMcgcYs(n1-Ti;)X@
z#jrFSonJZHsmt-pUc{n;S%TqJ4y57-x_x^Nctt3yts(lA+MnVaKgAd5rM__#C&pA9
zv6aIG@g$by^J}QUzt6fdqRexrp9aav&$W+}@xsQJf@lyocQ-S)g<CZHWyo!>l2|k=
zXc`Gk25J({d9tPGIt%yekN+_qZN@&~aRoUZiWtq+@ECR8)RhtH>6H5P07zj{|6MV=
zk;<gFwW)0P2qrl1$9v@8cdq}-hR@(?!ucnm9$Om&>Gjw=<gL=>8G%Quk*6&8UjAeg
zejG{SRrFm`>k@RkH#@NMBfTO%*x|O;xt7|d<O0wcp{aTrBQNcNzQn;0`Q-)6t6$E)
ztu2|H6=TxvWH@=$97XcOmOz~@?a_c(Sk}A)m;uv#xgCC!YBe4TP?Aos7uGze4t*Pj
z`nXn!-Qn;OTC(M^t|@$yDZ40L`li#<;<*!UMN}bOg!@+AG~!PK-P^J$d$mG($)fLd
zt}gXL;fjuz?K|s<b-kR$nex#Z!T{YMCK&40J4t2JPTUP(;1lg`-W|5F>A7lm@{|a(
zJosoJBPa@o6xxyS%hb)>WK0Db-eB57bTs9aV@mwg3Nxay4vnc>0!IL?a1RkBvbB9%
zh6RtVl-Dx5eirapx?aE2@7~Y)YNMfeIeE!-77;~(bb<L&_mK=IzjQk91gnM1!iE1m
z!MlidCd_`xy3*Shdo?4tj5y`-$80^RoU7h+YpjdI%4+6&+v2Yb=iKfmI3q|;rty2m
zxDVpSoNO(CIOG2HUJtWliOheyZ-hDj@t}LY`F>6(0cwWVaVhUv2G7afX7uK2p9hsy
z9m(<W;NOfey7H40gkJMy_xzw4)RpAix=QSIpL1GU6c;2E+i}jG4@|3=0mlnHMHaq#
zSz*C4E_H_AckI<LNH%KH65GGI`ig&DrGysHvAB)PbZ@-ft2ST*V%`=0k>A`ielAtl
zJ2vCmy0v>LQ9EXz(ZXA5d5O!Akl5O^4-UnA)aSoq-u6-^a?lEMYnD*i5$&}g_>Q-1
zGTr~P?Rh5B>o%D&u$DLJjeCGblW@4X_N}Shqn?TwPEkr(Z_5B#e~U{|^5~-;ok=Zu
ze9*Y<E?qk1wV=H*V}O%SaJJ$u)vfucEZk+Ixrt-S#DF6-=$|6w9L>nB64UxQBb2uT
z4)`CSUnUUpBIAB^&jbY7l3jLFvuPsB`F`CM9);JLajVswh<k<_H^q8z`=rSs7%{||
zI=XpBfL$`FFcdW--yv?Qi2Cs;SVA2-9Nd&X_!{NpHT?k)?Srb4s%vtWK|Oh__K(jq
zvl{)@T@=GI&iE}MArJP5PgbTI*AjwX4?1JY@n0fol_CRO9m*6h?!n953NJ#3Mc|rJ
ztuzi`_?N#X0ToaERw_PB^%W109TF0R-LfRZ9ufET8YVb1dzv08R5@K@QH10dnCfFm
z2G)K<fXO*^)~1OuW6W3Kd;VR)Ow%fIVm4P+n157h+WYwDBI*XxYBvuBYB3}nL_Ztd
z>AssYcyni%bgSRmV6R{Lyj+xXIOkE!KDKH(E>0-6gxDz+37eA$`YgcksE!lxi$$h&
zZzS#NkI{C7EJuTrja$F4@le0nj2@ha2sALiDt*W{c5eAF)O~OTr?d4+Q4ryDr@~%5
z#BIY&poasLP8G9yy64e|*-W8}7gGv}o$}IT(RN{{KvX9=dkBrcb<6!6>}jqC7PG}#
z6_R2+Pl{5;7k(JCfY>_I?Ge19_lR_FhFV;os8YDWbTt!l5^kW&2COwEq5KCq(0!N=
zgZ#7ztcHvj3a+mW%-k?nFzI{vW!Q;e$3vMYqjO~tYsNJ<F10t^4CMX-rY(snBMEVe
zl~nkE#9q_duw(E|^|{sO&B8`UEydZdA6?c+eFf3ifc&m0Y=H1hC~^E(S^m=;Z{ZPH
z8G+u3G?=(@bsp#U7A5sRfQ*cV+6B_qyUWhTpy+cT(iCB+vN2JkUHY!n&uAj}f#a$`
z*S$hHB%aMKCu*8d4>AeL8YlW+jtrhzz-w7Y@YC4%39lU@P1XdyHFMj%ch2i<n0MS-
z@JA)C`H|36ft8|%vM-9^2In}(1-8eKLtUe90)sDZ!RxrXWa-^MhI;R1E1#zIzoSs!
znfr@Zzr}@V!_$Q-B%uvo6-_!u+>Wws<h>|?iMXAUe@>4j(7)8VgRJGtZkfH}S`}Qn
zFhcS>=j%i_fs_Sa3MBw}&im(QgxQ-CZ_tf~KBX<g%N0+|6MGYeJ8SFdjFDsan<$|U
z*mtGjGvO+>hDrHK9=9qVpJ>|;PaHx-0q;*QmL&PfN*aP8duj>V_h2g(UrL)J;yG^|
zvgE#TzJ(BWY0_RZUv3QpMb!#|Z<hYB78Q6E%v5>kW~uiqW4-|jCHlyq9!-!y%<15<
z!*T&DBMPOhbZuL@4f@f+HXw|PJ<2P*!Ug>(E{4PcI20+hzQJ33)hi5t7@CQ^@P__{
z62~f-8Vn;$@sCw1?4^5OuRkg<tfBK&D{B$C{y9Uw%8rS_Z(IkB@Q5tubl6EMXA!W1
z#bKYk&%j;KC_Ov8yUr*1O2rL_av#`b$~Ve>r{7!5OWDJSq}DY{zt24qo6@!=>v?B-
zpK-~&cPw@SjTKv(M58m=67eFf;K_ZPe}|d;X4|PT4I<cTwU5@SflsGb4}$|gWC`U1
zs`av;D^)mFqJClX>moj2Lap$Tb**=ES>GFRz8@ZqQL7=<l*kxX%3OfQRw+~!$K5-H
zB#lGV5Z_f9=f0R<P3O-6@Pd~`hfH%9u97b(){zJE@`vKBt4G$@r}Z5xjACs{dvabl
z8n8n6T_juuGCJv4!W7ErMbJX2V(P?RrK{jE9tz*GBqQUjz!QBg(Vi{|;0L(T)N~E~
z-1$$kT7NsGk&60~-v_B-Le5+VbUm&<4=+U^mc%r_g(m*naW^3pT$Vkx$kOFluU8UP
zrf#?Mwy&=G8+4tgHEI0hR`svHY#D#AONoW=CO#>_s_Gl!DKh@0XbuN8b|(bdFz98A
zb8&n1?zc9b^z%@Trlqiqj)mzF26(<a``W%ImHm6lsp*lH2jS+Sy?(Bj%|{m&4!ymF
zwMN~P8x!nE1zwBHX=<{WCxra`{{V$RdcO!LRcZk)u@SUPkzS^@_<|{*v8A>oXUR~t
zJn~IY!ah^pF38B=t5vK^X7+T<-?Fq^exOgK&>_q2RSS7wz%|iw#aGe*I78AD4{(=G
zCaWtW8w-=T4(7@~)Umbi8h|mQxPiU#kEsVC6PKL`ii7Kj42L@3;W$)4AE{NoB_h0W
z+*YtzXu%C(VmaDr);aMu5C!)sT{xF~C9Q=}6%b<8676v7rBuRUP;U$)@?o@hEq_9b
zsL^n;o>@%mydo!44pC3CR7zTb1~*!ZH;M$rMA?$q&J~D+N;RFa9ZDd#nOwR;_Q3LC
z)8>U0;g=tfMC!5G-B{K%dYQ5Ml?H6?K|*bW!ab^F_CTPc-eIw99bo?eFmN-5URf%{
z{+NuQg6?xI1_9!VWkc93-57^Z!@7W@OM^@d@}um*1SQITCOmhOk}Uvhgrj=~qQMJ-
z7(txCWJ+9;nb_25vXT##bIwwi^1}uTmNhVi3>4m}^oUW#vYH`DFElW`i7!TrVA9Ao
zjtUsK1BjTcjLLP(P|sph##UsE#F6+Wpys9j042(0Xic{?N%tFcN-!uWtQoCDmUV?3
zMHmd`5vdjK1-ryi)+LD153IsteONe$3ofp6q!#xF8l593mP}};GsJsP3YFp|Vz@y{
zV1QE+!Ro<ugiPnAZNw?w;)<=BiMg6_JtYQ6OVrWp`EBqRqFPO$4pH$RyiJb07`n>f
zIf|&3U`|s0P%jlf0vB<SgG*hZYUhj8GU?YUvNHI<1dOb+feK&=3pbdE2EvQf7OTrp
z?n7m$zT>X35GtVZ!&iEa!SolX25cc;sQK7`QtoD0R+LE=7fP%~Fe<Scm#g$8QLP(A
zdSYM!wJ9ouN=MWJ)tMC-EvTav1Xi&gVkDzAaE8|lYB}L>+`DygZ9V+Fv2v>`!lgh`
zsH`&!2N!W=pvCbH>fP#pd;|$aRMS<dm>lAJe-O`?Yl{ZTm7yKoMHwii>K9;tXw-x^
zxp%d<1hM#4xv8f^F0(fVo^E9Z`;;rtVhkMjGvS9Q7vT(!BXh;w^)~?mTF@a~ta~B@
z;}J7KimfLqE}*Dvzo;x7CAJ#+lrAzqNcFITR*KD7W?v*W!t+Jk41q;=8!mcE$SXl^
z9SWLOlHoa(!Eqa7N{;3X2&~#x9**JApzse+m9ZI^6{zUmRdJ(;tLCU_o2beisO$^6
zn>vQlP~M^%J+iseAVKs_<B)&c;^`<W_X`C70Oz=R+Xw#ucxxwP{`@<XQLH`O3vE<u
zTC2>mG#s-WT%|@*F`uMX_u^i^QGbZe{Hs8(bp{7Qm-iAV>;C|mz{0l2;%8D$Pu5`+
zIu&$4!(%84tGSEjM+<GOzz&`m3z+_p)Y|o5QQj#?lLJx89$_+;3%?ScEaF=M@<o8u
z7rtOKQ%di1B!yJiXY!e#+WX0wa%7cSzCPt6HrKNGpPi#|bpzH71PVKXSX8Ek*13Y>
z4{`SdGYul3y@knWV%|rexB^nJyqU&`N54?Bm{zT3%P-6Ta_mfVuCU3bu(E<4cT)^D
z3v51M{{VJ>sIb=+lY#9DfI_HkF}ZGCh?nXW=1W>JKX(h_{NckfcAB?9*r=}cw|II+
z;FpuSr9&kqEZ*J4+-T60HvLLHCmTWq)bSp$wjSYFy_H**XD1y?YN!jDI}=vmfoOv1
zPT^qM1P`VFt{g9j$uPZ>x{eh=Xq3`5mS7zlsdwU{@-VTuVwQ7Ii+6B|CAb(QqN?0^
zOV@3^+z?RUg78>{4VbOUm@3^h=k5`JH0Jb%M<uReCtZ}*Vr5TN2Tv3#tb+j85rLR4
z8rad)L=xMLs9G6bXVgYnd5IOgK-4`0Ye<OV?u&()SA-<erkE^e2c$MElDUUEJfc{q
zh><0oL1i_a-l922W7MkDcL~CSw75hLA!BZvjgp<9-ad%B=xvWki>d4bic}ET!9o~D
zgyH23@W(MZU93T-A*I}U32k#PZ`AWL1qTt{w+0coictEPMS<!vqXet5nVx<{vng<4
zN|mM}#^Iu-7qOAJIR|H!I=)ilR!f_gCruq(JM;Y{3-)1BBNiM+mxcC3Xv$eHnSkvs
zqu0X#&_gWrhTrxOP%5zk=W+zy>kGz1{7YHlKFFa?2i3voCUpd<`Ndx86RV8^1;f2y
zp~P%^XHX(Xh##O7Z2_0VTl*85U_Rw%#3*#TnV=m%#3_x;w*uI%EDHIAejA@m{{RsH
z8EJ!3iFtv?xHjwKL-~9FFk&u0P^wsEr%1xHqc)}hoI$ngXZ<5vO1H$LSUxBQlzd>M
zOdf$(-YAmatVVpqvT7hq`au#DH7r((9-^Z2OlIV8_=V!nPKbsI1|Y6xP+U~K>Qz&j
zPYgP=sFi83b5Vp8CF^mDxb+Q}sEUf%bvIc_&SoHXKSVd1Vtp}zWuWFz#v4kkR^xhA
zW5gg2l0yn^4OpOuq!_q@xPk5fP9flZ)Uk?L!s<KdOubBr48CnY#9pAFTt`d06h%^j
zmiUWZs53rY-}}L)TEoi<hl2oh4pPrph%6?FV!CQF>jK-Rp{yA<b-3KxWO6{ZTTYmn
zi67LjT`{)bm{}e(xCRF0?Tze&bQf^oIfFWsd8<!W`GbO#FH2bX!S_-=pe(4IDlC1K
zq5l9#Uv5|X@Of4!=hd<N(LdOO;cC@t9nNspeC8ZOTg=u<m?`Za{3$=n9daSVKXG_+
zA=UlFs6=b>jpa+S5OgI9LF9Ophta*^kIY!kF-MkT^RW`zZ}kq+z{c8yG$(8kB+Wah
zr|}P@!c=~oV0@&)%+|sQ;W1;P;D@vNDGiAkB`{HzbC^&%8}v-m<)WsH4~Wi8#}^8`
zN~G!*x*<F|@X*AWG;<og)X3T>BL1Pc0>hY30d^AMAJmSN3>tG9V+Ycp4YGngcS|CL
zH*oxIE+e4xT<Tz9<&RQ<j!A|VVz(_I>=$!VB9X)J(qf&OiIsZq7buKC1IqIY@s`{V
zi{*#}H1yOb!-Wtvi&p7}NQmYmkwWzv$d5uB3zna{l{__MWLC+Rgmo?o<~Ii=f+|+x
zh8n(}VD%6cX2lPgw2;ar!Kirv?BY2Sypp&@;B^5`Pcq4kX&la0)sbdj6u^OD+_))B
z#AQ<!4<920@Xgr1LewDDaTHxwyrDL7xr=2A^=w?H&VX2ekr3yEtD>0q)D_j@7Z8{e
zQi1`Z)D6O861kV+lD;&K45n{3E6j0m5F2Ht1_M#Gr!Bq9dMcLhs5=#-q1?4439bfz
z5pW!!Uvlw{lNo?8@vdP`<5WRvx+CfmsG=DlW1L=Mr@FZh`ol>_Lhs7Sl6l5#y+d_h
zL5#r~d7v=1fq%hsEjg8n;x@YN<%5G_9fL47tELAkNo{H>h)_II%X6K_P)^(UT+5dQ
zF5)YeV)hUtUH44U#S2!IEeFitbjwi^h0<a@j4dI<1RNfxX^fd!Z){3m)Ug$2xjZ3(
zDYDZW=3QiRFEdk$QRWo&Qrpx*(uM#zU#4d(1AW9I-6$Y0MB`wnjuD_j!li?(KPVW?
z*ik6O^w3YJDYV!vc$a`wHxj%l+<_85ba?0vqdNzKQuYxb5aKmLpJ?rtp0dneFX}_c
zuN3seDmBz{8J7!S=3akr_t!3=UCQ(ta`1>>P&IP#xunJv$00EUT~ni|cJvo(2I8GD
z+593SjHZQwLbVwUfGMMoP{*VzYOYVYL9(TA1Yb#oP>3&Gx{P@b&>}g}dylp(Xp@Q^
z?obBVs{KoZlS1f76sxGZmEnq+G2F#=P2OYNYKjhtq``n{Jkt`LO^;4Vqh4WdN;x7D
zofshCpMZNyURoR?zFoeE?BE+<%tE7)<Vu+)5NLHTCR|NuYp6wC&MoWi57TxLFAAM3
zdzhXWMP=5rL05AYwS-(*9T9hczz6XVTC;*)HxcW(5A_yOFqHoQQlQ1EgZxB>NuXI3
zEe4XifXMSPWe+rA4&>DU_=cq@Ek2^z6BPm1P`!|?nC<2cmL-ZDTufWg-+Gl96ln{n
zQ?8Sn5BY^^EmPcHP!$;Nxs?lG)y8l4TH*3V3T{!p0o(|t0K)SatX)PNK`q2vi?R!i
zF-*YcGG0tYe{g27_lD__AMA(DG*7By@hM`3X{mU^$Z)w`x7nvR(g-UC+n2?B;bs7I
z6uqu!x?vKnDR_pDM%C&dWSAg&RO7;BM=C_ClkEV%V11|R0tikZgNr(y8e~A%5YTJ$
z43R-}%k0H`A^vceATkdS%dRQ?Qt~^XJw?LWj49MfMKJ>~-dS3$Rl8!9e5WXSVoeJP
z*j`z4Wh!1H^FiEK1$&3P3x`_9IFzXfbWSb6lrOoVirglYnX&^T(Bcuz21|}L$A$vV
zI9O&VoiX3n0N|H7Fbu1kjQTAxFF^%0tFDhwODZ~nP^9WIJ797TQma>cxEd7Y49msK
ziipBAF~n9?i9k_Nur$@p?qzgKH&6jUj<Cci%2zv%rO2m8aqQr2Y}|HO{-KndWL()$
zNmf?Ot|DFsY2=ydrr_-!5YvYdGt`V&JP2btqTM$OUd+>&0YUsBWWk*vU3RxqFZ4V$
zl7Z!kwF|z7f)Yw@OelMn^aZEXvIGABn6+)m+#6+VULyh{+IW}LJ)>{_!U}OT;PVk}
zsj@F|iRQ>Vqd~(_4s?_J5xHLm@pT=@O`02lL7OY?RAJ(ML>YoTTO2hDP7b0JDh({x
zxbNjrJdiplheo`ME8SNH0Me|I#7n@ti2(c|Lv8LbO09w+V=~dKL^O9%(w6&{gn-VW
ztgBi?5a2+j?2pWSsO?D11m9v<-4H@IT4kxG!Q4Wc#C$HAnL!6IrfCsXSZmQ2wu>4y
zDR*78I!4s*l30|fbcWn57U`Ep(neKABH^V20B&_optUJ&wfUNi5ha5F!-z*}{{WFL
z`cyAP!<FP4Of)vlOf_C&Ei>i2cPPMcO_eF$tyG_hPxviM`NX?WuO~3OSD4*i!JRso
z4;`m1+ykLf$ruXgTK9d*!7W<L-9!rFawjzg^HF9UL70Wo5NRrlSqXxqa383{#;D&P
z^&Cl7lS{z+g^yj$kN*HA656!t4g@v%Vl~r)#HO7T>OF>_q04-Tev-*pz_Q}(#4+a)
z*EyJhDz{Fh(95lV;$cuxQuA8PIm`*}o^b;&3h>kx+1MHGRMIQtrd!saA>OGH7MY_{
z2@>G2yO9fbgr-OZ;&+}k34yBwI5_Ns4P?(U+Ji2Jp}RCImJp(<#vrMagmI)Xhzzm}
z)UVhwC8z}tsAGqV!(@IYZ5qBK@iwa!UCoX7fpb2{^YICU06&Pb0*_<N!dBqBSrtaM
z;0)?Fxs)-XHWVm3irDQ+H+h7KLvK*v1(+f+X0@n05LX(4vceL8xl_8NyMlUF^ksVk
z$R+hwLd5a(D~v#?NX~1R8`4$f*mVQ*oVkH@Lf=fr(*Y=I6OmnZicPvd5T+elaexJ?
z4MzJlcO84d4q+N~C@nab`B<4r)W$8kl#dwhB4u35oGMjE@3PWrQihDd91&U565vo}
z=hSd{=g9^NoIvQeP0JFvF^iPs)Vi8z=pxXuvg2+rF)BKXsEB|?eS^{-#Q;^5f}LRX
zfs6Gk9%qIk<x>Z7EI=$yV=+faz=)$<u~m2@%mq#wa{%mwf*YRO`-HVAb*W+t;>ufx
zX;V$ct!|=W4w2@o^(;u-1#Sf>-l763j*ksO%B8(pxIt@+!dfx<IDkuGf0YLkR-x2u
zWJmJ=)U_K+m3k|7%r457J*#7|h8E}pxVwZIVu19AdshdT_JCd^un5#VG?{{dcP9~o
zrrmjh45?nDf?!rW)zn>ntBAbBVjpD9IhI&c$8h6PTN)eVPWLaaLTcfK8B`J;MPgpf
zPtGDVhq5(ZEWhIG<8PJ;bxquOMdMzg-4EEXcFt-cT@~A?sHCJifDv+25wPdyhsGeq
z;tkrJMT=|W<Y~W+1Q223J*937T(Z{=U=&tSnZ`H$kvj!GqAzMcKN{s44}XL@**H6b
zq7{M&-M3`N;PZrZN)-!{%E?L@oDo4^h&;jA(#BM+&?UtTYr~n6fOercXSkQb7?8*M
zjK=I&)Dvu2@?2+v68J2<GtnObR;>$+imBewGnx_EH)n!J8pH!C%13hS08sZFgitK!
zP$&~hf#N*$RN}iK<8XrrEo8aL89m@M#KvLkbudUF)jUH|&_NLJYY>gU+ee@3Do!X}
zOyU<K1eN6?I*uaa)pZF6HQX!me0t3*y22(oX*j9@kI>m)hB1CYPgM*Km->n7XCHE_
zWqCp)ltUf?vA21YP4W()Pi&kLLr93!sNl-<g_w+Cm~g1XCUzj$;R~}Js#%75Am*Z1
z5wZv;%NAdXC}wh&M!HK58JX?eWqTQzo(82`Yy#%IZZX1P_rVEqIb3`&zUIvu^_74&
zni*%9cvoKlq9~Q9-Qj?0QCTe}<l)rGLSO)LhFu=yjIdb(mdcK$jg}!ED+m+@{-K+m
zNJs#$saV?B)(k?}3ouc4SDnPr0KD#B)`gIih&l)q3JQWvrq#v?gPJO?D!Iw+2ST==
zM{sc7Or&XfAY^eX4iS{RjZ_K?#In#aYXE&l3wB1BtXr&2N<zU>3*t0<ttJv}mNLMx
z17C9JT7~Vm^$><ynGTy^NJ|Haaiwhx;4mJcun##=7BL(82`gwk!$v`9s@*t*A!a`S
zRYc)6h!e^cXQn>OeP%xY01(B^@i-U-H957MN{>MNA!cU*xpmhv-JOHf0*j0=66H{a
ze4!IxwJdv+6%K-4UQ)#%;<<xmjYE9P+2w|J092(8;H9SO^VC>vWq|sa4RTz|lw<Tf
zONe)CFc>2EKeW3`GgDcqc1}bWq#15iJ|Thnf)QDg*QsPmfWhiC;wt?^D=0I}CMwr5
z#u(Mvs4KS1=Mj_}T{-3rv<?B)#B2i(b0_U|3KjJLggKJ_<h9Jjg_Brw0bnGU+*ZLW
z<t|Fb0Qg$@96k$w7RnUnBT7+0?T>WP2+x{P-euhP7D7A@aS)bdTtE~T15cB2B7{-^
zP(8#yBBN*`o7MKX!f94<Rq$I>z^_nC*FB+t&l^A7ZD=sHsK_^M{jjVnIO!@Z=~Ac}
zBCsH=!AO`nS)0a{g$Y@avf9EujLfA6IBo*Gal|-0xk<<*SD9p6Q#pq`{1)F(?Lycs
zgYpt9w%4b)vX-E}aTRM`Bgd(P#a8b(E0#i!y~lUT_FWL^(w(kvGKXhToAW6{$f3DU
zz|f8ck!F3y;4T?O><GnHa!m4p=ovq#ZV5mt>bUnTBs2kIqPV%mPAR@ygD7a`k8<oC
z?Dqs6{{X2M;%v*q6jZ?_3!4<D@`4gAU>>8O*8`MMs%du2u!keV3<$Lml(%w#LSq)x
zda$A2!H*~|;f^w?j}&90QI<1H5%@U+Np+c97T)-TC0wzsM^i^-3rM_bvvDWwAyOsn
zWKcaowOR<%n#@!@!nX^0Qz8q|nNPKZ0r<>b!E<dH;^Q7+R^~AkdL_C!SPaUb7TU%|
z7in+m0gyh4;-R8V;*<XX4}G}bj*#12W+6m&0e^57HwhHFj%3Y#p$$_-6BEfH;-!Xp
zB(^qo62WN>VrVFYUy!dyADMdSudugqYKMUUc&~$FAeyxrP|5?=CkUA6zQ{&#q2d|$
zbuvL1%Ama;3u0uxeVC|sK;lymae0Gm<6hSUx(wU4Ixqp&61W(|<@Y_Kg5{P~w!lTc
zWm>T}D#4<&E#LuNqr5{zGcRF$Ih5v*a%NmNtByiBJVA|rMg`%u!B7$hMxZ5K^8v#_
zcQXfHq&^_U(p`45(Lseoi7RV?jc`~Tno)Dit2Akta@o|>!Bgx>x{0$e^UUBvtd*s1
z0RkLFTqS5B?@($~`E<!Bu0xJ<A})svx6I_G0uFhgM&Z!ZWo(tf?mn?|T11Oui&>U+
zFQh8;Sx87t8jgMPBc?5K!h-h772q-JlbV^+2gE>9aMTe2FjUl9?jU7@gRZ-jv2J1p
z%o?Z=tmt(Qvqy+PhS?p{aR93(<6fnSS1<v6V`^q`E1Ak0%u74v5$_lu0WQOer2#JR
zLyiR=4FgZaCr6SrI*`>y44_DFEb3HTbqehwC3f8{x|V(>-U)Vv-dRoBaEXL8FwSKV
zlZ<E)#L{2tT{Sj;Q)N-h?hq3N!i7)5Lmxn)-!TKpnU58+?o~<dW+PgUbKVF?8_)3_
zd_MrL*he(6^Ei;BJrJU=S5!EZ5QP<pIpIZ!L4z0Y@8n(ldj2N9d8ky(BRljz`?<^)
z^odX?iq}Q`#0rByL?z@)@l^L7c}Z|>24nbXp{8ZzmYOm{d4@g8c@zb%mlP|g1uf~Q
zO~IxY_aBPfYc9Y|q`f4<5nqI+ryR^La8TezE6V)El~Tt|N@B|PKkgZVGo+ePU;$Gz
zlt5v)qlw_laB*3I!i9@B8E$<sa?0hBD!w)P54mavC0(c7t>gi*YwkACA4oZh!AjjD
z3Yk{g?iGS;R&bo89So7e%H(6Ht&Qesvll*Y1dJCeEv-w56ohRAl)AaXRQw?o37K%t
zw-a5eL<2()cR`(zH)~1+vK<vZ=SQJ_*@-w&-9p=VGyTPyG(olrd&P!R+c;Z;{U`;U
zLJHf6r?WIAxCo%p3fu&X#z?!nMD|C7H%ULz39SDB<8a><EYT9G46f#Bm686UO0WpX
zZ-`GnQ<mw`;!}W<yvd=fshPpWW}s_WjX8~UL_R0PMykOdw=sEw?_^#aDi$2Sv77l<
zYT}M+S~cP>Bd!KE^wJf;XHjiK5Gv^AqDHP_QEIj73<ZguN^-*>x^7loNA!m`%r(Rq
zi3AKFufY!l>>l9yPl=TvRk8Q9sQ8!c!44ZCdz)CUh-R1^kw|HAa1XX20M%qJZ6;KB
zJ|#Vdt__zATqBHbHQd%Qb#N6?v#Cl`yvDG(L;cF?tyRhhs~Q*vT;>A?g$0WO#}@_d
zN3BzHW3Dmi$XG22(+*`?Hv`5&<1DylU2Pip%O1mOg<Fy?{PIq{apD%-pp8Yi;{aR{
zR$76Iw=(1uz{|0yD6Fumv5^e5TSLSJO_7RqGFFovZH}4<2yDRKd4{X1srebn{l+*v
zPDUPrWFgTjC?mUOmo*mpP^*WaOet=q;1uPkT43~Lr_j%mWN`>x*&cQo!ElE!h(K73
z!x&~{KaJM<gy9^5r6>zfwQGr*_ZR?3f;7UxD>I(46yCwcrI{c%T}9+BY22d3`;Sue
zmBHBY)a#;h^D7mzO|uMVY;0TwTBr7cYQRVKgE4L<isSel{{R+Ri`c|4!J*<`?{327
z)C*;MoA~45-_DHQ8jin#uaRR;gE4wVTBjV6<kndGjt;T#n1?ukmqN?+2vV^E9k(+h
zYnedXoiN~Fy>&Ub7@)U2SA?!=1H?&mmug0al)bUxb&B8khM}qj5aIp;D;z;z5E<Mv
za&8hp1`S1*@dO)f-!U01vxv2pKM4piF^|M?G_LBpkG4|E9Dnj#8B4MM0NIfNRq;6p
z+G<)3YWFF~oZP3FCt<mpG8*VusLQ2Ka4z&LH<(z#wW)}}!DS0~E;85C9_BXof@$wi
z$^a!=rdcnrseg!Ik1V6TM#J_-l`^nrEyBY$Jj;)OcGB^v_j#0R8H$Q+_!oDsp&w>=
zN)KU-N}K$J2~k9cO=2bmAh=c{@LfXg#}vBt6;&}8M{=6|oUoKY#+euGjew%qtIrWX
zMhEmFCm?7&Dgix%QBEwO!rkgFN(;AEnG$n|drOKH{?ftbl>V7Yhb@jexTrd2r16<s
zcw1%oV$gPcA0p-g_V%Il&7VS0ag9PDvenudL8Gs8JyanLt@;inFfHVQMFqIx1DW4*
zI7$pYU>-O>sc~jw6q4GG7#2`nRLBH!ULc0XS>h8w7SOALlCsn-3KT1GZcUa8TQ;4S
zkf_xMqT!mNg61L7oJJn5A@bO;d_zjAits{imPJayDQ#1!k;{Q_Mi_;H>l{Sosu)~g
zJZg?M#Zu7_DyuZcdza#kg{eu57<L7hrePSZR7}QTh=3~6+7R*DR#3Io#OMPQ#2J<0
z2`U&+0`D!oLxXX`UmYoRMn_IM_byIPFrk<s)#hZpDRRUCwHBc{5CO`{?A^>&q87EP
zhJx+$5-(>o=3fC3)YPG2ETk$4Ll$9u%0WW(5WrW=32XKccIx1APl7EakwMg`%;5)l
zFu?pkqef-si~^9paUBP72mnP`6|-4}K%=ymNNUwCX=+m$)}@)-al446iFx9o!-E|G
zYO8Z=GN#WEtzen93KKwFI0F}0G1+ppP!y|vFmjD5(uPZRZ}BXXNHCNtuFCzyGCN%R
z8NdX@{mf)_PsDQ5Tge@w2rM7DoWP;d?jLL{!S~Nwx2c4*5oWlli@FDYc#JUj9)!)s
zOG2p&SX;*^ULii}ipmhC7F0U{3`Iz!k$)2P^On59h!KH#VS*8Sk(zLh$v1sPB^C>U
zh<h}N6=C>QERXSAa176dYM3e(y+cOt;>l#PJNZ;FUZvI|<Kp0$eB-L(!x07X^;07l
zl*QbpLX2nO1|z%bKUY>5;n=9vM&YX9V1Wa~puP)l5EEm2iu8y&r<#X=VM@$hWlJt&
z0<ndjAwh9Ds4G6#WTAwB$vCZ`7?yxCx|efm&m~4dux{hzv^iL<2}2OB#8t$!Gf-f5
zv4pd5c@!Z;6>$haIUtl4?Bi1c#|NFJG0es5&ykC75#OxK1qBZzN*rcUin)AUsH&`D
zHVLx4cE_k^TD7g>6M-bsvp3vDUA&@H`O_g3)VO(PF|Wj4k6eUR(iA$ZOjpL08KGRh
zAzWL4-z$2Ji<RBv$;3i7YQqt9hb+Nimhm(Mbt+cFnN%{bS`5u|Z-%MdL{kyxd=&`L
z<<6236bf_0FnTIPq83Y1hNebtZ=3ZV3p`zY)I#iHgZO4rhJkl5aBbNV`>2_!WGyI9
zAfJ#zD|;Nb8>*zUmGd1#Xi&OuiGo<wsnlyYV%MmW6Uw{}Yjpu)zi`+ZaRUs+hzFYS
zE1a#N8PYQ?qtjT_kA)WoWqFMl!tvwLj!>FbCx6I}$wPG+RihMI2Juic01JJ58-qtP
zB8e9S$1=TOq?v<gh00MfiFtfKP|H|p(s_UdscwR#9l+0~RDxP9vg%j}<ls)`K*alv
zm?@5?A&pj->R(u{nZ9L8)QBP)(r4y{v}gwbW6R=IFts!JBQ{$SqxUipP^`VwDe?$y
zgIt`LDoW3}k=3$*yIb@?5Dq+5o9CHLY}~BY^DMt>YHmXT-F*b7z%*VVu{wasDg@tE
z6Cqe=oBZD<Q)*yEGQIS&`g@rxUeRC`wMX$b>#+9=7I0Q#x~8g_mU7vQ1ccjGOG{py
zFfm8L1lw>~HTI3bxr_ov%w+|-ip&r@QmfO9#<*#_sDRV)O4;-U#IdOB5{3`sGbEAC
zkPNzchLzN5RK(8{>6ie4yCx{jbqw88%*h3GMBFbKh&{<{QC{L!)2uZaXf$Fo*z6-0
z_0Gc6)MhNr!h&}Rn<?j+Zvb_e*KOZfh|!Z-YE#O+N}%ZOKV72ZKQJZYR)e|_;+v>o
zV$g)q5V*3{s_Fo^3rNJiP;t26mz~)o>N|o%C=qSb8QPl6Qt;^UE5dli8IO9U8fI6v
zBbD4U3$Y0VCk=NC8U-0ZN)R|qFRGNkRxbivy|yh9Hp_yFpHajUV$u7I8~C-Dof)7$
z&<W-L0QU{1rCrAXPztuH9@M9$&3_vo&nM<<{w<#_$*=HXMXiVcVk)r#R*F*-Mvs-V
z*To0WFW}KM_^}l<Azqx*CNm)`$~Hq{PE;bv0foj4U5hfRgdkp&QdLps0P{7zp=|@z
za=rmvLO|nbM7TEv2VBqU>l;BS_d*+&q^o}rr*e^bK#15Lj8(tp68@lk65ZnC1OXMe
zMRx+Uj^dR{=ne4$2spZzBYjg@)}k#?(Q@!;YQvTb9Y6_H^%4~qS_Q%rTG<JnAnCJW
z-ZLr~ba4kH2GZemZv=e&9w)?C4(FMlg$x$K?Fd88nwA~|_^6k~h4Z)%Q*1?A$er;P
zQd%A*B89}_SE%TZdMbo)4384%OsTl>)Y`LDmnvCZN&q3@kFo*$A>HGgmlP8?0dM}w
zL<cdgmsyC2SgsE5#4uXryI$hNjC<Tp@M7lD3*16+(1%J^;SPgnHPoA7?rt>+fi|hV
zd59VX!pNF0_!xcIEXN1C96_oP1n#8bUzf^>S2uFd4dAbKKn%wV%)Vp9t_;{(lumO@
z+z;{!DrW@3dFC)ta8K-~;wbqEWL~2jI<$w+9nJf)o6i8$Jc^hr`id3u?gJ2pRJ1Yf
z3sAJ&s8<*)-8F4fR$z4$u)8fWBL?WQQq)D-bu{c;0*V#B<wm=sENC1Ayty?=Tx2xD
zgv3ypOj_5uL)t1;=Ah=ZYCAEI#luYHWi90%x8fgyf>z+4ODLceA!LP!0bc=jv*rMl
zEhR(?F)2z@?1pnlsF3P9F$WeanOSJwCeB3(LDdrRMVpMSyhdrk2#`_7F^_ao)JlBg
z^i7OLC7VOo4NWVR%tHBa7YihLb}m*K#l1!`S`UeoT6m6BO&(zK%_}FFYvnDM^8~Ab
ztS6Z5o!IN9J>^hO(lrR@m~K+-t-6R|Q6{QC;16%8@Ie;rn@*H{K^>*hn46~t`(dvu
zcTB~xsoGoDk;`1l2x1IX-Xhe$LZuW+y1UdB*rN}oGA=AvmNT&|{>1uAuhLQm&<e6_
z(2L2AWA;0aR>e}=e5xhlv)}|@0ayG5Nd?0eavuRnHH!w{j9WzPSt#Qs4P%*ctp%QW
zlm@vuK4h^whEbX|9s_PA*5bxeqo-38kZfKi2guujhl3CT(=1>%TVjuh#TSeHqukpU
zt^`%-67;AQk|kMd3<$b<Vu)z4*iu6E%C48UnbUi-FvZAbG4UOqp#pGSFma;%Lge2R
z;wT7|3=yFluaWT)Mu3{Z+<wiw1NMgw=-0~xt94~h!k`ww8)s0=g9}N;FzPDVr=|C}
zib%c~)DkAQjGUkdbct;sks7TfNxCh|wH%>rqnAL(iE>Nsr4a>30T%g;0wsX606{~g
zhpI^BSxa8@%++z+MCMJ`!vTy%%Lg4?w-{{7cRc(!o*^Qx2&bq6Cbhe{P{5$jea9-A
z<^02FTrA~s!m7%RKq~4$BW?}GP@UEzF##-7#fGzclFtzf>JC_|CWc}W)1pTN1W~Or
z;u}^`{7gY2Tp>NwVs;FR>*@~vFd~+^iq?{|^O)p7whDW)UX*1SM73tE9eJUwxYeA@
zds<OVaVcz7gPMTLvuT*YS!zEK-7q*AsPE*|U<PXO;vv~gOy#2F+qzj|JHs!iKtV(g
z(f}sSLDW>Wtc8;Y62K`+!3-5HbiPejQn*;SRr{BE^gP;e%(xx_v~X_~W}{&8F8=^9
z;h|zXticomLyCHW#!paTpI94@>?T(RuGMCt!G>+D@h{YwqC7YOuePI5Q7(s~TvVZ3
zwYlQI6{}=vFN!K$R_i<$Gv_lOxiEeq7pO>|C<zo<qlzOiEY%X2S_LIrVDv_?w5!rp
zkzHdb*_BRNYzgeya9YVgu>Peh)LS2jo++s2{6io@rME6B46Ydsj-?0=7PI++6jvE#
zhi@=Y6<L(W67p>emcr&&3j0ijbm9oej>Pd%W3J%GdmYL^JJiPrz2D3d&OAbtvY@oo
z$eM964MdhT#1*@YqN5gWSrr~&P`(H;OQp&oRp$}vy}hP!ipPQX9#ei;?xya{Pr^Zp
z^KjndP#4cP5y~2<Uc?OMJ(dooo_|mPtU!Qm!-zr4rHfgBaW0r5lo*z?DO!GI%A3XY
zFQ^PdCcqu{EUio35P>dJj}QvN%Ds0COT8t`_1U>oIyG2?pQ2F;QnK+;A(>%fz$$<e
zv$xD6t5~!t)EPRtT_#T$wZFs<pk%{|eaPo<>IJktCLE5_AV+RIqjy<CZXdFgyOffn
zox-zPxBK|i{te$6%lO;i*ZdnF9ofU<a%&yKe+a72XzSomVAh~-jF1(kAK`Bjh%$zV
z$%~HDFz8((%h?XVe+>G7_LU225D41Zeu<BjV3a}}CQ9)wEa*crvcGH*94VN)s;M{l
zjkj}Va|aCN4q?|%shF=4&e`0xy|V!70gXl4vsW@Pkvrpvv^*Q`0hksDtZji1Kzt6I
z#rR`IM$#I^n?RM%i~*X77;qI>jJ7PbWFN`8>flA}-?l4Q0}oQpm3fw=ea0(lXM(`4
z6$M-v65<q<7_y*HxM0D~6-8-gWQ~zE;#_5euY>nJ4&eHaEVW8)E;qtPRLfh6;%wJ-
zFK$@~bc(>;!6zw0mBr@*hfoPL?0dMHi(ff1givOanW}+EjG+Wd6|h!k3XV2MZI%jP
zgJ!$~3DAN4LA$FrKZ7=^d4IS~iEJzL5(0Hxu}(cg&Nw(fYba%4cpNNLKOrXH^(k;_
z&=)EzLkm_m{Y_DnC7}qGWFm11s$*9S6$sqK$fA&1@ts8FIDpzN9HP}>X$ymO0dZg_
z<pi)r#%d8+J_w2vECRErJMuAk1@iy_C{b{+u!!$-<{)j98W=_{tnU(*6NM?6OkLCy
zK+bU<1GZ44@o`*ACsaJU!GJ(>YA+rRqITnv{!+@7Vmc+lbmOYkIX;mkc1x&+RaJCF
zNeWOu5{#+cjY}zhqw2w^9W{st06fczirNMjp*xS(g-y$J>R|kVaDg1CLo)(L1X-$8
zCV7E?&oON*7SwhgW<QbcCM^SSwSg4fL%YWzVg}eIWvOv05H_ipt_}S_7bwnUEe94<
zTNlI^LvaP%)c6Z3<rJJ|R)Se_(8qCsN^dffZB>bSvn><Ap5Pp<l?4$&ghH3*Rr-o3
zYf%A77dl?@%=G#)jmmW3Y86a1imbtK8TeqpiVL9TQrIfi5741kE|hhdy>D?~(Nhxs
zvlbUJp{6Sn(=Tu;(?%iUwFSHwmY1avy<($nN^Zjv*2z^DGXmIxf%%l%bq&@&E9j;d
zg@v3qajwunpK%R~whz)!h)_Xc=SJCbG+Z3A$kcB#yADNfGMQkOY6iUF`I|qE@8D`}
z{C56r1las&{5$!POT@IagZBr}QvRj#1=UCTd^-LbT|%~8!!W7OXnj;7@YFU0XV31C
z{0qQdA|~e@8ATMmp*&t60t(mwoNzNe9-{&S`#?FW`s4oqkkCs*)Ky_9ejq7^*^2f`
zzdaq!@(=C}HY0Fcv}O7x22Z-ft?fjxkxH?2?~D{mpHOR;m^4)m({X<gS^og3LHHKx
z6ts+7V;7k@2mHqLR|pW7+JC5YrJ>I*r4hjC{3;uwb8ts_wLQTnSi{sMc%GhraHQ}<
z6@K_IiriEuzLW3cE3bzNh{W>7ncQ)N1>7hK;#Y|hgqREhx?6Vt0Omail>Y$F5hM_`
zhp1Nvc8vjnRi?{QdrD~sM=-TIa<eP&YDcb$XRS;Ps;@DX#0*C~+&J`MFP95s^AO=+
z3p?gkyR`-SGd=}hYL_fnJI((9asIulxssj}h1@d1R{sFGU62aY)P_X3g>YPC+zLxW
z8uCQ1I-gjjVAS{*F<@OsSRCM>8SG&c94ce9_9MG6a##NVaWbbWJyR;6Km}Spp$|+K
zrXCKN8uK3o3ZsgdPS9Wsaw}ql8A^2OR65AZ6e`y&XuQMmo@zDZ;AHAM+^N#$#50tv
zQBz#%hD+`gQ^o-WsZBsKLst~7Gjk(?MB1i<#8sBN_)9i$RmOoEU#OB0R4LFS=$8=F
z1?!lo*#TGdnJ8FHmaSW!W@s^=iPtJ*^AdD!1zL-UkquNENI)Q31Xq$Js-30D;uH-N
zF)y+lwL=lIC>PD~7LRxca)T@3zT(VgQ*nYd9kmyT*K}UT^1=@{3d=2kkl@7|#5I;<
ze)k2$5nX}^tDQguK}_opT9|`Iy5?X!OyX+5AvQ*Jejx(u%*xj4BXfRb5KN{E5pE!I
ze1ibyU>6d+dAuXy+ETF!Pg*xEra7iL-gLQ-TF19i>)Ks-_X6ObAV|0gErx-(cpw3l
zp5ROc@*d#A!*Li<W`Y8`;}v?3sg}EPsq-_!&8WzaSwc@Ds_~h-*T~{A1S*G_KrPI-
z<|+_wwEm)n38CB|z#}b|9L%6oXNhQ_+-?PK^0BE7%ySWL-|U+{5K8%#^93vT0fsa1
zGx9b3L2uy05VErnH7Lh$1-bPC%kBz(H^4l~($=4whR{xeT(fSi5r@IT18Tf7xn16a
za`2sExI}9lQ9ddo28z`j65Gn#3*zO_q<u9!MjpXfQ1efNDmhQ*SNN1+cyH|p#dC%{
zGitEGS)RySkzQlsM{Ut?7=pNRgR<lnH!D&t7ctkMc$CO?Hw$#a+?78C%9_W_xKM8N
z^(`kmvBVZ2P{Q+kfGL8!B|-`z>}UpHZAC&}$IM~Kg0aAwkD73maR6gDmU4{(aWJxJ
z8$!^s4k!+#UN#l0{6nxe7RmUSxCm%ktUlml{Y=}4p2-iHA2mp8TX8gy8t0jdB^Y+*
zc@mX{i5DQt6$-eJ3gDND$3!ZzfQEh;=_;db^)xaJHCLHN83%}>wPg%7n9IDY?pByG
z?Bn`M#ur(}Iw;jkU2Srzn)MzZeXI#V^(=6zff7**$UG;WVz{BBoj`TqR~Jw(AXCq@
z1W{CIUUzb^+uQ!A&OD)9GQX2UFiHW#$@3o4Q5dNCg0GtVOhPMOGK7E=F`Q>BsxrZC
zzN<(eDXV8%gKY}bUs{!^U?_G}7DTlesJ%fcH*kXB7r=s+HE$B>1I=z83cBS`G^AEo
zR#OiLGKuOU#tWYF_Are#la+?hP!wwO7j8gqpD^UuE1Rw&+-^3?jZ=lNZGNq#MTPz5
zECOn(U(7O}xL2LP8y?iZ>N;1Fsu^l8x^d)JrgCELFA<N(;t?I7%ni^6>wvsw8Syri
ziKB_8SESUr4QJ{O+7@m~yKl@Fw`+e?-GJ#4j;kRQO%kh=ywayj2Bap6=vt`#9c~(i
z+6jGBZu&rU-!lY<Ta}tSG}La|4-%N*?Zir7GKMBtr=BIM1V{q8xP%q<h>0AaEtyV-
z1pp+$Y0R?7bgZVnY2u+}5IB6Xu3BU+Z0=T?%T2IMoB-U<y{qu~m|47xdWz=Cjy>pr
zOp#zxWuIwm0>|70kl~^jYc9@WViV~xNpM0NVk=^Oz!i?xqKij`n7dWz5jzcLu)qU@
ziDK1PF_9BFhb<2hr$2Gr1lv-q6Ro47#{rFETn6gDsAA)xf-MVW%e%3AhQF~5&`_(0
zl+rNKXn~4_8|n*yq1RAR55c8kRTKzXo7NU#tCn2L@ydqkS~GLHX6B<PNmHycj!i|m
zq+z6W7`muJpF%cIUl0lN5qg#zA{i>EJj4*9KBEoFznQb+WBvyZgJ1H7&ZE*82yfx2
zCC}4-;pIjOt|D1ZpD*epHoJg<3W6#iHIT}CM9wM-`a!8}&A>gS)M5sQc)y9Y%F?XL
zuv}H&m|-lyXjsH6BXa>og*Z=+Tb%{l{$Nn(o+Fq$Qh5;TkX{~TyF?WL?>xo7gJTcG
z?VzyiV}d*nGI*`Zw6hkAsqJ9pJiu2)%7q!>20b(ZbknF=({bWg!C2CVl2NLQ1+fvQ
z03YrRNmSJs*5yoLwx|KCSE-Ef&Sn!~F+~s#W(`8PnKqY^exZssjk6D(lHC1$LoIp4
zAvC%J>LXKbBUhAM7^;|4NZN#VVE+ICJ8H*}Mp2Z<G%Nf>7(*7}1smI75)i^D?9cs8
zR1k)Sp+kiLnNF3X)M!nJ7)!bA^l&#Rfp7a@#4HMi9x_12d$%!u3%?;z&@dmEs$Qx@
z#DvUK$X9VKINhOs#71Bh_NrEI_8^Uk!d>Frw3-7OfIxJ@JP{*SW@HJ9Vk^qJZI~2A
z7+|8Yxtf;zrTkwFm?dnaa|pGlwPq5$Ov-qL%!fqdZxt#qk1b!Wqg}2`!-!xkSY-V~
z*9IeB`lA_MgP0ww!0Hqe%`*O`Sw|_GhD&%Fj|;w7{X>XbrV3R!g8?2=B0+Q}<1IOX
zz=~5xaYiDr;%0!USX@_A(D0P571^}P*?CAYQS1<)gmc1NakWy+(#T9>ydRlSm|B*s
zC~?D<<4%!s&|og+icCScYVH7Sjzj`s&5%|(h8uWAz|2u5*sK-yhzM=?m|G>c1fNvb
z4lKsy9zd#W<L+5RFtm(}t$ZhO0S3d1maL-)0O<f)Wi6qW*{B|d#&qITp1ZVaEwec9
zQk7L2J|jCV^(Zu^wJ(l{*K{aY5zgRV#-)zJ)Kf*p!Qxe#?o)=NI+jE#VrIsOmSdXc
zUTjJbIfxiOZaxGsmNgsd6Ff9^EGe^ryCyLhF`&5W1r$rB0OYRq4i?<5I534yNcjP9
z{{S$nnU`3dRJcllNN&#Kltzb2BD-&8#iG~Du#?m;q{T-pwxA-^^2183&hAr%LZfi9
z{{T|<Ow_MaEG}^#M~E#|v;=%(7W{V^$<R}5C8@cy<744lgP-66U&YI1ve|4k^0h6N
z#Z=re0|G-0n}$Q;*p}Zh`Jk8g4S<45;x-ww;=5>A$Esh%CiPIJ-leR0Qp4Wj@mpU9
zPSJB57O&(WfcFdutuZT@4M{E5^4pKZY_d3S{t~suu$X&hIVrIInuF|19w61bLVnT#
z;<nz<IV1^_Ql(HruX79BrR9ojD)lG>phmL`%$8GU;s^&q^h}v(O2#2pm^_xE_Wl_#
z-Xp%0C}R@PgY1TdO)91#3n4<G<2sh8v?npt<)QxoWUQ!>*XvP(TTLmCOftJG++t+F
zBT~@m%Z$tMYl~s=D*+J|S%wWKlLSW4yeAWu6i~!KI<pWsXOtRh9|Or_GQKd)3+kbT
zp=<p>)yP*8rPW5k2q<OSDuN|P1)>1X7x-WBl5nKIQ>YegM-kyHnMYNGEVur7xqM4E
zLDOo-+@&Eo&G`IGVv42XxN=tkN>_+d3X<DGR84Zl(7)VZBkC>{fnB?es@fFXHQdme
zs2y*uYcU0TAa-*NW!*exGy5FOTQT0XmlEw9(P4`b!+`jaLz)$mrWGlNn}$PaZQ?75
zKu!}minv7<DYGyc^9@&+BWPbE>Nz@vZNIjmyd85(?%^PX3Ygkz8hk>SfO27%(<Lem
zPEm?N&2d&uu$-|Ga*h5W{{YW(FV<oVtH58XhyVjv&yT2E8U)C9m@?437nMSwWxzSa
zLny*961LZr{{S%Ynyg$NWauF)Ec=-q`)(4Nej@0j(yDkzlr5AAWsGzo)~~vT5vd$N
zxQZwovjpT1FhEc}O}DqGPK7CHmN8$gu^13bH|7v6mGvwggmBzdtsKEkj^-w2-FFJ%
zt8)pCsODR8tY&N#-NP++2)|i;Fm);l;tLKuMf_*PvA@C|ouMqKqfiVTALcF!mBtqi
zE+VFEU`O2HWkSG#YM>(4IfTHQ5a$n>RzA(Zgf-#Vj{=EQNYr#y<v$Su;LxS%l~qqt
z>EqmU@s^8+YZ}PZ!rilvxIi#HA)%`d;@4~L0@#{PAa+zTmZiMGsi1Q(@PbC171aE%
zGYB!=lN1{5V^ld+%e7@(a3Ii4=jV-Xz*r5hBBDX$>uc0tA7!==@-=}Lqyr2M@i<B}
zU$;<z!gdfuORI-&z_T*dUr`TLWLuME8L3j2`;;jCm8lf~PCUw0?N9>@!dBu`ZRZnZ
zeM;yCj@1qFjSIOz6faSGY6*(eEgI$sAEJz>AA%3`B?!0TAoSp4K&g5LVbKB(8CH{W
zDVBI`0-Tb_vP+AYIhQV6983NeFW_-5U+_AFA;UP84IjflOZ$a@WroZ#DPm1$JxZ{R
zv3*=2<6z^A5e5RJrMgYSp@le6rnMi68?`F+9;)PO7N|9bCI$m|VWIOPqeqA&Wo2(K
zFe|Vrh>;_mAnKN4R0QM=O>V&|zc8f&<vzc0DEX625fpku3PtrOBlm&`<z5X=1cU&2
zS(J0^Jd<GO)|WC4289rb5-mn1Vy{PpFc888;s)B;W8-nEX;m&i5)$@YL*0VOR`Qf|
zM#kMdp=1XO=5of3_|(K5O<)C^mm)g>u;q$);@9|xEj<(Rz(}iTwJLhrrlV@>EDDH<
zrks+UpH|^ezUDM>i-yk=0&mF_H^da9CohYsXL0_rqth@aQBja;s#GtGK6^H9Rv2>2
zSlu$)D=edCe{get0DcoxhdPEqcP(l#Sxd1p@AH{0HPzGzvME=4j3aidlj>mp<0$$j
zdH7bJsGUK)39L&4a;f1^M+X~Q-R3yYV<-H|90q~^0J(z2b_nAT#V3beWzk<E!=_Tw
z#se%NwYC@vkj@BOayer23Cn1@v@$AZOkb2FY?ak<%Hbdj({{MH)I(|o?c!r%w;j}I
z4;(P+uoPws0I6{Y0;c`;%PDLNUGWwxRR%DOQ5&%v?p;FQwR=Scd1j}$^DdVsuc*ii
z+W14OVMq4rFACIT4&cEr!B8FCbrm&h>Y}+NV{ICVbt&M3FY2Qkk6Q;5^Oe*N1%9D9
zSz*+$1~|ER#I;#4(!>7%ZA`f?7}PP(e1Qh5xGsghB@02>5yFHPT7(r$2Pd*I(l`F1
zsw)&Z+@gt2aXW!BIUHhCI&N|Tq7g7RQA7^;W@z#l?EwMDxa^8@C2EXwEukHdk`UGA
zJ$t%^>QSJV0bmP&77uW!Bf5!TXk&GW7Pn7`L{(#J`-lZqnRzoFoF*&}sMH<@OD|&j
z=#Og;7M0Q_hH4aCp$K}8F?K-AB8_0=h1ha|jqTrXW}Zx67j7mRq1{8M9)w(PPIUud
zy*C9c6s&hMT<YW79Zbwg&@5ab6mH|UXstId>yDIa0Jj~%URXvR(f<HZ6_T*NjBy7_
z)aL&H5{O7Ot(OT<aaU5+IIg*7SzIHDk~MGvZXHIj8CP)L5kIMz=#SiSk{5aKh~KU(
zLre2B((T+f#0`YEriSqz)`ATJ5FDIL6z&wvKWg$fEih3djBYV4Oo=haVUk=bGlM=N
zgPyN4o{DzFUVJDeI8DES+&BLK1nc8x{tcfRKL);bgF)$n0D?I?jc%a4?lh|<g)J2$
z#IBE!pj}q#4LxAO?(-{qGV|Ory_^hUDp3WjFgIW@vc<r`3%Cr18~6c2=8g!$vSfwc
z96%~L7Z6IA*zTeYAb5^{sO#e?Q!`{(85NoLFqTAk7NNo&Zb;nIvd;%Gu>utwoy`MN
z(U>5Z26~dN5gnx?Lk3tOs784cSb*^i5G){5%q)kt!Qsm?ycRozG(cGY08@3jqK!m0
z#4O2iu~!DlJRI|=8$*mc{{T}mr~!;``-?A}Xa-RfU>Me$;GS}^CX7elsv^LaaB3>0
z75YF54$Fl=-e!-+#B|E!5>@kXtBGv&7^WhiS7K5fsW2)GZDWjLw!T_orpLmUpYsGS
zOvP2{?j_g@MumYYmHyEXCn8w~c>e&*IJ45H?pi|5hY$pSpR`_DT8%MR@$kopQG_Z6
zmMb`4>V2``r-&yFh~D4rfQ+(;*f(4<-7%_w6$2k+qZYY#swbKazvcoN%PLAjj9XLO
zEy~R<q3|u#{6@NRVsju1Fs}XLS>&R9lJ(aW<b_(Col4^2#354X^E(05HR(n9n||?l
z%uQBRKH$=?Q}GK$u>PUf3pA}t_h<}iAel4|^8r7|-ToodE5R>~lSe2ll^HK6t7YYt
zW^^}StVI-7FqCScahHU=!O}V-vXvG&*`Q6N72yewkdy*gQw&0=-?ZU9h^Z65?mOha
zs1RXav?d8s;RrCkWyjR5v4|3i`9v^XOs%wuk980$6%NI#juy`5eYKBZh2)~z%+BIN
z7clv#e&SaEeL#Z0(->kzI?q$k`x8lqvIqjTbd<!lN`+IAbg#JUYgKa|jXe-krLgfU
z2P|fGOSuVT7IP}BTL>f|9wuM{2}~Y-9(1e9>QI1^(RIkIMeE5^MfAAjRMcF{jOB`s
zL}0Y&Rp}lj8!QkiwQI{m%(>~i>oFq+Jk=^a88r5UP|t9>2SZt4?3&bHLeFoA`E`~@
z%m>t<L3v<>z^(a<?Z0s4{H)}|sM?*nt0>V{h`U`CEl3M6dM6&#iH#g;Q|VIEHvkjJ
zvnfK};*R1>12j~xgFs3jiB*B1P+z!3fuOqLf;cX~#v;n&ZssTgiGh9#e-7cl=QLyE
z@;xBgf5|MUl+>a8MJ}Z}gCjzp^A=}2RxEO-7?g@}1GVS%01z;gTFl>2P(-U77Z5}^
zhAdhA#puiW60n_aT@j2Hiqzl;kyc5`P*&fX58kC<YonTruS1oKf`=_i2{|I`HQ~e@
z4ze1<3$eh$zjCdhco?ll$&_-Yn4N}Ryvm;?l)U~LYF)$TwG-iX77w|241$AGEAJJG
zULrv0s^X=f**u!+TX5~_y-R>_*D=x{%4Dg4=?X!&Ak=Lts4H5RBIa&04xC`txNc$u
zrPO9sZ5$Bl3d#ron0sXpT@-|b*>Hdk_Yd5SzQ8WSU21Rv)n!eFPIkq@FLs}Vb=Jp)
zTb4C~Ux26q6mTu^nQeDQ>6$#;7KKo^@_}0g;yF(rBiboPCfKMdlX(<kZDexXb5iB4
zlYPo_Ux;-hp^@guPKqjl4T@kyRcF0K=VX~uw)u}OAwt1+eZ%Z#sergHfrm`A)@7(L
zrOenigbK9qYGZ~&g+WlpGdcNGZ%yIF8rrDq%n3)e6V#$i)$#~n$t#nL4mxFeZ~}+K
zSi>J>=o+uMEQn86oK4Q#AoNeT2uwvz`pW~bgHITLYnK95PwVOktxV@~rOq%x$O6Eo
z5UNl&M*jfBQ^(=Stt_WGhi>OTwJb~i#kJe6p=tUgC)^g04Jl{lV3X!mO59GvMO<O<
zF?4EJyZ~w{X6--bSp;5TYT{EwLgimZBgSUk!>0O!xYfG`X_pOd_irovhy?d3NItXA
zvE!*@n}x-WnZ3Db5GK2G53R|3F#$PQ;C)1a40J9e?HFzxqO9Db@h=LX>YU{;OAjIM
zGTo#BnoxukLqAY6gTd}Fpz^TjK9Eo<(FC?&QA!zfP`0U3-l`#BdYLpQiA0uHF#~E|
zb23_vqx?>yAXIr`yODGfs%reOh?I3Pv;vjPE%ZZ#kRZM$qLOZ4W)RE42BxdIno&x#
zH(j7I?I`JnCSs<mETQ!hnb}mNgIM+iN;OWH#(-S}Tsv=l#RAi~Lxcl0cRyt5SIDbM
z0%@k<JF`T^IYx5MU;w75H7kX254dj2thh`{Xqgw`4jmCjHkr7G*vvG_0G{ev2L&4l
zIUT<|z=>u*h)8a8#BS;ktCh{g!JSk<nyZI|3jU%j<X8D)-r<T;;94Wtpx(R?Q;`fB
zjSS{pltA9tM?wLh;FS!4CEjL}MQfO3PYGAwP!}<Xtc)|n<hAZns9|_YQK{T$mK?4U
z+B0ZsZvGD8zxgXy@;C50KaT$Z8Iui&AlW0TxBbDBchZ((AOpG@{^eYV&NS4fg(ZsA
z6!kW9<tk(GF{e<Eq80~GzBs4yX40}phx?uUx=1=Gt9l`28ZU6jo(rjbq1Q;N{s=i(
zA8?EyO7U5VKn%YyV1X)jm0xtB5@;c5V&Q1z7zh_$;0+Govc}r+`kQuJ(&a=@QyPlN
zj2NkuUIEC9F`0zYhY-~bfp7}r&JVbG<F;k-4wzUmdx{rirT+kPKSGKf%O5NQc-&>0
z4z8s<s_NhzO;R<Vs6l5%)0wy>ys_kFmt0u0(Uh>poO(d@u~2QTJ;g=^=<^TZb3>G{
zN0W#p#_R2crWEpj63H$fH2(m&audJCS=jE1j1wT!+y!tl<pgYQL5hhMurEbUZLp3~
zWmy;1OsO7^GK*H^5c~^aEyhbuh^k;6D={5{+8%I6MT+oLNac%w?)+MFAE((+03pgZ
zGxSv=#yydjM=1f<5d$ShOCy*=5=Pn%30NtTXZx2CgriU-sDSVU+|(9@_<3eQcGFWc
zm<gvS9=8%sMZ>T24VgyXF#|0Cb(Rf+th^U3@ql+*ZO${Pb`kSLqSZqqsI`-Em8uVu
zaw_8G&^PH75{G_fUq~(~Vd{`a{{S0_BpOxsK|PSAs)Qu5MoI_^9h)H#aUU_Y)i$w6
zLtDwr1*a*XQ~kwvio>**%oiz68gQsUv2GoHo0ky{D8ZB5d{G10CT|V5VPsbi>5)RT
z*Qse%NGdy*9{87t0WanPIXaf7h$b?X2GfQr96$qZquH54GA^az#s!S3H8HRzIW8rL
zMH-7`ihenqz}UES-522*Xt={)3}aC@tuy+S5|u+W7$DYO18^$T_SKlM=npL%%N}>3
z(Q61N2q#qpLqNdAn=xw<&K&avQ=S=C(5<G>1VKE}V&N<f)Xb#3Ca30JgDC=pWUjFf
zdY@!WNn+#7LhQ!~mo&&UzTr*^RPahPS<9J}5TNccXz3f(g?M3Bt%fxnRem772>Z-@
z#>9XIDITmhv=AV2(G3riBTJ$XDRhiAi05`U`-s6TX%Y!*MyiXV77KCUP#R79ISoZ@
zWR7kM#ERh<)dZO}n5jiDrmhIh@SMN<7IK!m%yShNF;6n4DJ}}ToJ*H35NcbvxAB_+
z)TdA@`OyCWE&dap%Nv2+t#xxMV(z03WdVXu3S6V!2GPnZrUm;V7zhKX2{1&DBe_F`
zoc*G(>!WXR51$d!#B-o3;s9(a*xgt%mvsvm3I^&jt7xN`TZGn}?urdc-6*q|4J8NY
zdWNB<(={y~rHnHo_=-`m+zAUSQsgKO6379si*=<#RPjb*Xj137PuUi87FLT^CeD{`
zYE2nkpOmqv<_8Buvf|)iBGCXSOSRla0YRWtA=c+5Ku$?VnS?M@(<nyx0+J}0ZgarY
zvu6~|p&LtNsz=BZN^aIW4=~F>mN~dFx{>+@9I6Ni0DtmOZG@e!IKWu@mJQnT{8I)u
zH9#Ws87&ttb0r%10Ams24xm)BuBjR;#1gTJ04L#<WmDwR+<5oH$B0p%p#-2C9!a0H
ztD>QZy*Nh-<scbBg`zp)jg;yPn&wcVu!5MN1fm#-%RtsyZR=!9d9C<BFrj`W6U%Ys
zs0slgXUac3ClG`NyKDiPU|bxUgDy+VUvlsaWQL04A^s3aBndNazcFW#;4S@;G3Qg3
z`H1x5C^|xF(B-AU0ey<jnSfOCZ@8PD$SBO3`jW~Jn*)h%Ab(>KsXq$_U?b`g0+$5f
zQt(%D(m+E@=Hbn<lo|?SC5C<#Y4rwaBvw<5#?Q(P`%g4Nx50T#z%HcX8!5K|3hjkp
zhM9qM=O2kt{^z3?6Lz$73$Z#Qxq~xXh*>{2ZZSdpn>8@#OEf4>J_iozSU?D??hI2t
z=W$mm{{ReAB^q0ZO?=}pHpR^CydWUZaR&0U%p#C=7R4}9soYQ@Z!y*J2r|)f_yXw&
zn@gCq!NgOH<Z%EXwqPENk{d?IXcBph?(K_%VeO9Sqi09BiVD@vrsC>4S?uT>qCCT9
z3R0%adW^YR4aDXQA*j;OxEhV=T-*Lr2p#o66|>9=paIOMRd|n;bIf<C)W`2cObqxy
zp2DEPU2dZWpn<hl7wTI9YB<3b;cQE7-mEA<bKxx{4<r*HFjtrzXmIet2u{G<s&f*_
zeI3**a}@!C#UXCcb_0A~rXd4*)dl6K-~`oKa~i}uAw^g?nqA9c(Too6r6z&V{{Wbl
z{L~0)%7zuj*}bw5C&a23$hDcjh`R9*6+E<V6f0|zTXL5hNHGwDB`#jtmMmXL<`gTj
zyfY@JL)52n3d@%_J^>v?$IV0dviAX7l<rfxPX7R!gr|SQctGK1g7F)uP?(QPXzn#g
z<uo;t8^{{EaURQxRxP<@lv7sXU9z;i$~uMEA^_SxAqPP)^2fx)@<a)du!yy)^C*<Q
zr8|vQS`gd=Wz2OE2*!0UNY=jQNkw(wiX9Ws*v3DgWx-`j(3eArkd_?HKzK5@5DJhA
zQ)e^k1(9@PYPhExF9Jq>$;#o4Y%5O@z=}gR07v~wa~dWhK~9!rUgYK`vNCgWpNl5}
zXjNIGkTDo967<SYeX3}D7D|Dptu+gPn{On`J%n*9ZjMf3E3m6ZtOo=EQNZxy_b>tt
zSyPB1iJrHw%wX0mzDZUa0<ZYCBTFwhqbV%PIVrqKcMHV$+Po3itQdm@&lxv<BL#^X
z>2a+h6qW!wRc;hWw9q?+xOAwvVS&9@%uUYZbS~jtuqO<nBe%e4#37ynqy^fn3w1Cq
zMfd9wTm&}iIl?(?sONNY^(wZ;f-+LyHRL=+5VDJyphUyTDnel$Gjd`YnNK<BbV@pb
z!)$zmqVpSz;{bON!r{^CFQs{e{{RCCQ<IdFc0_!F=>jE|WBQOc9lJ<6hPb(I4eB^m
zE%14Ubwz-Rf2cBRiaJUe!^3cGU<{t-T%e~}fPp%!x|w_Hf}xLyyukZ{l37u)n5e1R
z*nGhfEZ~&q_Z}I}K;m5>7otjDx=UD)Kw$SXV<|W_EmlD9EJn)U(ph0KW}{cIOKk35
zh%U<d2x;4B)%--hs#epKdadYrs71Pwr<g42=YC@Gs5Je^JR^09Wy8!24Z#JrqTnMf
zZB2n?BI^95^1V0QS256w8!5BY9>w(=I=s|nhm!yTj-`YZ{YUlMF|}RP6)+O%fq}Jz
zglQHQ(sEpnA{q!~T7}!MpQvFrWaxwiKo08+c>*}-h!CBnt&7iyXaL$wAW_9}3NBWV
zlxee}hI>n8y$mR`CCtSyp@;~#F{_-W&>CmdrC$8h+=Yrb^DiWoKoTCzLilVhBxi&`
z?YU5tV&-%ej*l|BMUgg(-g3WlE>T-uLRG@m7DIeq<(8|7ZKh+Xk(CRP3w~iCayo*`
z5G%LS(=MX`uz4*a?3jLrhEpVz@o<TR{b0QYu5X!s4YBVy=tabXXqa6H-H6Ort(#di
zi@nHzvtzEl9sdBp)A>61aq?{bdmjeAclfpmmllnZC#gZUe<%IUNtKyX{{XbLrg&gc
z{{V8shfc;@6g@*+QQKT{stB2GnZ)Lxg7zVLipLkkOS=l0xs}RF8Vjj=23-%;K_Rj&
zcR9H2X^uR?7|JqPq(HRo9z9r4fNw29^ibo$TZiG~5$$8JCDwSXvyqDN6?NsTA8^ZX
zL=iw5AVQL4AuExZ^DlDP7u0617x;=%V^B;|U9dy#FkT=a?S!pcOB)vtP~A0{De)U9
z70F0F8}20Kx%C<X@}CSh>%XP|g9D%V`vJRrL$fComQpr;a~xpJYQZuXv9Mv7;JO}M
zO*;X2{lVc{YP>ftliOpAz!i&A_KAYbDZ>?gM+>|(sb}y@qW!~vDu~Xn*^NQbYmYG3
zS+#8qz;?_m+HOR{{{TzmU<od4VP&W~qbGq53pzy<%hX0EO6B6A$)viOa>&sgm@ubz
z6!joZHbA{ardV5)lr@rjs+OKLyYQM4S;SVh*yOm%$6V4(x-amuxQe<>u&f=J&<!o9
z-)I(lB~(|>=u0}o4l^7i=(H|S`kW-Y8Zfp*1yY77%FwgP!+7uU6*kZ<QwDXI7$gfa
zH&COLZW{Sc->4o8nnDy+hloPxP@GF9OjrYHONU_FqyFJ^StlWQAQYkgq27VVcw=q@
ziowJPH9`TU>LnAIVLX2sO5@@=blrCZB42YMhjk0Yo}jucUZ*mFh@c;7R8`*N;RXIN
zjA%Tfp;;9kI1~gzo41GsV{zyiSF|5WipyllQyFew#8RA+z-{*u&e50|EsmVEn1<<W
zG19ia1WkwDM|AXsfJli~)J6i+sF1NePFTZ)5*088>N=p|8ApiQL^;b35olHFhC7A<
z<Pi)2vAxGss9YF$TGiA#QsvsBaUz1|Hu4;iHUmro@FAkaC-E31KvU5y6Utr`^{(an
z+VX^EO{X%oS`^C`5xBE#?mGtq#j>D)CpFw#iD9SAEW0+b`yT?(KwmpUuu6xN7KJ#%
zuH%D4&tc{?a2!Ig!2TZ#OY$xM01>a^EL>H84n7N)aI3$O={+Z;^!XmL$K!vB3hBn<
zCa`ImscrLS9tgG4Uq>;6A%kQnO5lXfzN1?R+>T?m21cVxMtGogwU@Z1g@!UR=eBIL
z3+_~X3!+>I6G_n!rFuDBR0~SUxBz#Ur}LOn7nwr)o}6b8T<H(FSz=pi77|uAo;@Jk
zQV|1P#B40SM7<*BVEx2$f{l(~f>DGh0OLV8a7?!gp*XpKg1Q*!?0LDpoT<6*@G&2j
z0_<YpdY0qy(9b4j+!z}b2AC|pOps|*!vR=Ei-ZuK80>erq%dDBV1nu-1Q~F7fKpk4
zGD_384CrbRgSLeqXb!hTuc+W7>LUuA59XmCiV;~QwX&>TVmFm~q&UbI5L=i7rF}OM
z6R7BcoJVg~jiTK=!Rxyx<$+U`sr1AnC>vF%l^92_s$^w3HVrxmLqXhsF?k6BF7Bd<
z`aOq0-9zM+dAF%YRn|q2YX<@dYi13?7X)hOsJ$%haXYwtp4eKNiJWvMNTdAIm`p0T
za{;X{+-4Y-oD*lc(1fNqFl5X>-op~Bd`<UiKp$)e4<@Im53s{7+lj;jA;a9Oup3~C
z-%#YBwrt{}B7j<cP!_|Hw0gZE+Xx#nZ>3ZLO1fGIPc$l(DXYf}{YoPP$q-q>g;x35
zGNtbgi|YM_KXSsd_!RxX%=D_rvm?O4ATR|*%zBMdBIu7G3>si*bBR}=zz(A}L$1(e
zxy^_uj#Tb@P^#f-1(~8$<Wi-%u85wM3Z_#Kv0U>knQb<Lr@t2zOBaYi%8n)*{yQ+N
z%OT=lQpRi4s0%w?%*W3&5^qRj!isJILJOv{vsS`5gniL)7pw4>3wL#O6lWE%R3ZvP
zMwpHvtBV=8(HMXQMM%M<QB4nx5GYv5o#VHZrc08dWA{l<Q<>CFyj_h<zKh~B6nT+I
z+RF7F{DuVE{Y&l+=@^;y1}jeH7|(Ec@L~{hRz@^&Z&84d0A0W#z+Z66gRF5elUTx~
zU{Pgcl;_OGI-9RVv0W@}Gk}5RY{b_1eqaU#l5>aL$}83d&ftvRP9lPM--zT4Z9ELU
z%6LPA?i&jPp|hB<Azd(z$i57*OKPC+ANMjoLh%}IS2GE2xPZ>VxOacR<;u0B-ZT4+
zkDNKFq4Bf+BVWPY_;K;8=ZE}O{{R;AvrHb>s>CAuM}!QR{{S>K9uJsEL8@IVmbsRj
zU|1f%5En+PiHi!E)r!n9hY+k?Lm97frq5x&C_!7Z<aHO%0%I4fUO&`BP&lvk9S~hp
zo$)TZfTbGs53WdiSyU-t7HTeVrgMpyKXTKOlwq$@z!^@e*cy0>hWU$*Ed@gdq>Eal
zex)V17TBQPrCl(iIAA+aP6IyU6?>-OT0zg4V$pH>XZ=qSIl>p3lxoZl34A%(M0;QZ
z5HPgDc9kuxs^(aklHfHC##;!u;K4Ak{^6ME{Y&7yo=9AG`KZ)UJH%K)^qO$0R7A#o
z1PjrqI;=#l9FIP;Ao^6%+8Wm>bo!5wC0j=S05Anyt91RwOAh>zi*&=<BRY(gLS7X#
zkU2?;FXaQPOGoHt;sHAapV|Q<K7cZ?K&vCAnXPv&+1cSHw5B4L5WYiyys=960#Jqr
zzv^QuNf!a5mA`PlC_<Vp7CE8VwyYnxx2l2dGh7$!qNCp<KkYYn5`UPef>iX4O=`&C
zBjsCAk6S~LWT!|9@ZuDR<XT_P#v%4AzwL#!JwTHomlp<UD|5v94D$%C)k+}5%b1Iq
zI9K~6p<Zo&+{Z=I#E~5U!Agu$mFG~2-^4Hgr&jlZs}_tEpC)1NT&agZ9-^c8M{&$v
zqsb5{LnzDFIuTQgL-#5tQmI^gRafy$<g%ZL8FZSKw_fGc2+7Psi|v%;qjd?cpk}43
zX^AN~z-m>owM|WkFL;x@D;oQaDvl2@12s`0ywi2&Aud+UR2t&t%L#8h5uoM+3(0i}
z^96CMm-iVIL9!P@-l1Sw#Nul)<`edA2ms*XW+Y4sXPDifs9kHuSdCAam_Fxnr*(Un
z2)g-HqrSyP4z|u=E)=Oz=&d+_O9o%ueF9Mr5Pwxl%kf}PyQrJ#&^X%|2r6a;38vl8
zOj=_e;@N<z%W}p>w%3TTyZucg6KzK2L{Y977siW-YXS>-nW{TkdtB155uDmB^#TD<
z`9?JHGZf9O%7HgdSzqr{5?YUmd*bm)_CoTPY-PD=bfxtz?k)Um{{V{NzlEr6F}=fo
z7M#m_WxcZR=IT?#yZ#pU6}`)0FcuhoB9LoM^SFJ>P59ITBu2f%qX&t(FwP;bBCHy!
z^&iB`0Qx0utiso}2+hEa2?=|S+lBZ|+^{K^ChgVS*(IweYd1d7&9SX0@wibj;f1+d
zrrPc}C?cO*i)WrWtGQtYT47A(L<3oiIaRS7%E>jZ1G5+P%HngHg5zoC#nW4r>NKv|
zcDJ5m=@rv=P!gw#>RN#}aMI@D{vAt~xSls2!xI`EIgM4S$iyU6xb0j-_i0OV<{=K7
z$Fv7hR3Rq5&=>?(CC-Ogi;jm71D6R<1rorD?za`5QAEQ<i+N%_rc9BTsvNyQ?OAC0
zONCLFQr_jg%X?+Lvn{zL(wj#nEZP|WoP?oez_~p`A<Jt^_XTpPwWK$~R<6e5kn%$7
zLp;<6;bI%0G5D1m=<uu23@oo=;dPSp_7f+==EoON?itlq=D~h>o{82=!4ObgZXZ(t
zlC2z=g7{N!^DdLL6UAJlJc_@}@fd-BhAf5|3OjC{MDB(~{=`T_Nfv8(miP^2&NE)&
zi>o2dU@Kim6(~4}%JURy$;=OC21Em1$m4R*X6%EFWnR#irM8HsH+OrB)%B-QTYp_D
zC=|G?>#3cPC13{Msi7Q4=@<ocoBSrB^F<H1i4l9It4&4L=F}Dx9+i}81cq3;aVsnt
z&Sg`3*EV6rv6wRZn?pgB5e`1tTCImq>N^`eN`~wPO1ad1fa{J@x?D4`8W#`+_BA;K
z<-`=Jkc{|I<^!Ma9gWh2txOdL<8LvDj)QrE666~Qg7)^uu@vc-QEl@Jt;ECd%Zkln
z7~rGCx|``TY11{ndxKG9X{VUhBTP`Ne&sV?2_XX?ca6+zcn7Gp<W!?|L0#$_aDc~T
zE=Ad3r$n^v<}s}7pwyv2Jqy$yYCLhiVHS)BHpRcTJxd~$_I=AK(p#9;%T(Y?&?g~_
zs%cn9ScQRxXL1&PB6zq8-san0xs`)20akYuvu@$EqWeu7PQoRra&Z>UV%i4t9wBYK
zu+#&mgA(gmr*Biu#j*H-rWVPFK;?_xYF32@v3<bgWbKGJ4P8V?X5C~QRJS67*>S*N
zR92$qhErOQ8bzsaDaSVt%A2!Lu?SrVH)iHeV2?P6LP+xj5Ru@`T+WeUi!8gg;RB$1
ztV}0{@{aiC-K)e6NSrFaF!)N<iCC?{)jNpQO7w^w#CPzuxnAP6{{VvOS@1N=A}SZh
zZ}>E7S5Mq1XZVbRept>81C~~=Z`k^P+mc<8%jD2*0_P&`B}B853&p$4WDx1nI)ey2
zEibr#0mLXorI}X3O814YGlD7>EgecRyBTp51Cp7S%Q2iT)J8v{sMxh6-Ls70mjP5M
zsxS({IE9MoH60*%i&ZsVqFWURpu<}^jDU1uWqzfkfK8}(Dwx|*2-7t#(d35-YlC3f
zws^*6?B%nFm3@)B6u1Vqugp5a;h5FNa385lMIy+*0C<OiRTrGV;G1in;0SqKxGp4H
z0CjN6+kmp*8&zT)S$4SCH&Wq^S&8C-il}a8a_~yTyY+zmOiG1^WJRbJAfndMM*}0^
z-L50EZt5rtO(vtl$~6GU8<jb_otFcU0CK5M2HmcpAw;IC19ce~b%|!Tkbq{Ua?GF!
zZr}kopnr0OVh8{*B~=cETKggb-J)YC)vcl6nX@^lu!uvT7tDA&pkH1h#`4Us<}I%T
z;JxAiMpi%gLrUvc?oc@?5g&-RrnmA&=Orn1jP)%_bavx$h?OAizY_*%75k6=B5bTh
z<wGF=3*a1zDxf4|NoEyeE3y8e@7b1QdfgqwE|%;#iBw^^xTLBgXo5b#6PnaRBjgP=
z;vJ^mh5CT(HMh*QK1^dKNehTdMky+O4#2h%PypRL#sk_;Z>SW#@GU>NUT;NICws8$
z@|$(h5y0|q^(&UPAs-Ry92JCA3+YaACj>DnBp_>yr!zMD6y`H6vep=5O#$7?;$da3
z2rKRg=q5446;9kfDp@xVjQ;>yg3|6P8rL?MI(tE~<EP<NK-V!9Aj1$=1!8UY370&?
z!Ioj`1E7XjwG}0Q)E*X$3t^9Pp*g5AZUcg30aXf?h#`KwLW@Y!zfqu9v|SLQLA9*P
zJ^?q(XCr_a8H#gBw#{`bqBhhAv*HGn5{AP#fc*B+7Png8GSg&Nct@au)>Dsq$LDhl
z1v@?06nYsJr7-IPqWq^BumM9#L`An?PD4FJU*RK^FVucQ;oKH(Y?Jc~e2mm)Xk->#
zvxR0mg*X~@E+8Y3@i)8&#lxjSWr)s=+D70iPVW;|=_?}BHptKb=4-^FDb<x77zq$*
zAOI@pV~)zI{KOqdFPO7DnZ@cXE2=x$S;RuYwt$yw5tt~3{LS;WTEPP#;Yd2>Wm|uZ
zq5l9D-v+*2P5wK7&ygvxhg}NJSd59ZFjFZF_+v8nL}3p~SK=%9B~BMKupP@mf+Y^1
zYS&QkVEB)pZ-xeMW`ZnYmS90h_bQRy1YT01-iP%uNL0~Gs7_g(o@KOULhNQW7uC3S
zL6?#}<`|Sk*fIWLuWTyNjF8hDx&GxSSq6)4X~&A?&ap`5Q9O5KpnHI|Zcspl;i&F2
zMglQ<iV;E_051Gb`;HbV*|y(t6qUG|bU|3@eP&b1l#76~;2I$5sHIw3T%-yh$5!TM
z;+CbhNQ^};he(K{Dbo$FSf2nDt&&#|)+uj5gIcUqSAHXtfxyrG%7|bQcq1R#7{yBM
z+YJ&`pK;A{;bg7`3xn$tveAJ^(KzOC8DR20LWnAbT)t4n{{UDZ7DGa7fN)ykZ)T@1
zB_z(65d#xt{-Pa`AL<Z{GK{~7D{LxK*<+g36Q<Z>D<#6@sc3Wo+Qd387ilr(I=(?}
zmMQ`q65>!*`=LM)CFupkSLew_7FW|oD$>CiL@D>9YL%9iF+xM`5GckZs)C3`l-nAK
z3ucFlloEpY@_<D!17sheMz0W#S!dCyObcpVK_yYhrNES>l&U+I&Ygr}%=S+)X>RnS
zAW~*grQZOCTf3@<q;R#>L^8N9nPIi^cQROV@{R(%62bG4iDXg0R0l<BSnb&~m~z?-
zOG{l4dx#6RV3xB3Y;y*|j-P{dC`dYhL=pT#d*!85(l+RA`e50>3`*tVW4&jWQ#A`L
z0Cz1lT*5V(yk>IVExgO9326<W>A9#b<c@}J<BQpy7PVN}yiWavcd~vZg#%8Suhc!6
zd`ZUOt;g4?6DuCN7VsrQ_O2CMUB4i_8z&;%N*6@Hfn~Z(=+%DaZViT<A#}u>3{GAm
zqVP#r3Ba*JG)~V_&lOfWxMETlLM$1;(*P4}<8r4V$j09J&fpLZH;Ga-_A;A0Ug0Gy
z)!cguF1*FrKB4+6hq#R(?kileI3ec&TfIb(25}z}3tV8cwm5=0OCh;fd06ob4ux|W
zDcw6FSQ{>jm+=<Z{2crr;=dx|<;=}|x|=`~C&_=oe~=lsPz0f;mQll1tU@I#1xW~j
zVmysNaHCfS+`#6Q?tlPL1L`qbGWb+HKqLaC2%(*G5PX+l?DHKGWsM+>(SdE&5LLIP
zw=7-KBLsb;In~p+RwHvsLQ+H%#6BQaTP5f7ES$WBVl^_I6=8AF+0OG7Bm!uGSb^Y%
zWXp0Tt0<GB1Uy3kTh|ew1CqOZM`AyRP#Th1%s1|!K>{dgfHQ1$Z~&sB;T|R3+RTv5
z12-(VVDQvYY_z{|oJ`4YaJMc&akW=9FKFbzcW@QkH7%D%s3}SV-nfKi1=4OD7MB$W
zU5qHydX)%rtB#U8U1HhBU>lzVoA;;%arT767f$=iELnaLr1>0iF7OY4<4~_`cg*FR
z2oHUSz9Hr2vlY@KZdOo~D@NL7#mB2+(Jp9xgADIKY8BWBn`Zsl1ckI*s*Zm#RZG3|
zm6#RDLuG8JPv~)#j3d<mpqR>-=`#^?N+nu4mm8etDK1ix#>~V}b+Y6x1nXz+QQ}=a
zS<$*61SlxtDhBi-hCUI@Pas*0UUY!4{6L*pTn=g)Ip7POOJIP(G3@~ruC*RA^u`8s
z?RSgm7ttv#Mu{30s;D7bk7V4(8(WzoAGw`iaAFu#Avl+Ui>u6a3Ln-n8?m9mva1L%
zw1B_NBzC|EzffSIns7_-&Mc@kO?hYB3pIK!7JdOxGxn(r$0~jdAu8bN=sSQG&NR;Q
zfY*~7p3H^E;_4Hjgx@noj%?f|=-C-dlw2GjmQgb>JE428f0l7EG7{QHRR}<s{UM3K
zzWx;urBO6-6(AV0H@n;~B;~|HJ3&LaY5;}d9`*owjzQ=bo0r1Tr>Tw>Mcu*jnOEX7
zF<{-?7)l)C<x7IWoY)Lu9zl^Qo*@un1W1mSKa_oit;k}>jIe0JoPeu*%@Ehnz9aet
zA#sy)W&IKIMpobT5QuDLnI(d%K83-KlEk2l;sC5ns=cGT0rwdpyFv=~4BRrPGM%My
zCUdRC#=6}epv6;X3x(6s0%onMBLY}?=2Pn^A2Cv*H14w=08!dD0p?dJP7o~k-Gt77
zGckj)mU`*-iY`|Z7#K-fi1ntPNVaM$4Y1B*D3G*;b71*n4{X)EM$>cmEmgDdE(X}p
zh#uviF294n;_u~+nD6D(+v9JOf5G4JAYJ0|bpUg1FhW<*Zt%pja=49%a5>8v1`bGE
zsQ%+}Y(y4>8q^Z<!B@n(yqba=VL}=t-3}$P_!FOTGk0rxhhh!rZdGE`xpTG~5xkr{
z*|-~)7tC6ufW$%J0-!!nVdKmzk>51bVs}yQ$(9xK6R2fR6+bc5aua_iGQ#1b<%I)s
z;;04cEIwvjHenp`!u9p>5qM!+yE9D$ip(~?rS!;ub6J{*0kpD`*akt|bS=2eNUxF@
z7br({C>Ls#wFdgpq$Kvcxc>mx6}n8~T-Ozy4kfw$LXcee7N3}Wjps34WLQMYdQME#
zwbY<J#8%l-E@BsK76Rr$AsC*-fE~r-#8a5hKtwEvys;_8Ek6GM+@L^7b%Xsxq*;7t
z{lSQbT|xe)qf?ZrOvbwN5%>u1QSMy2i_}#u3e3Mi{?t#XD>}5p3p@%Vt92mm<13=>
zP=5$V_828|{-z3fK;2Ac1UoE;TUG}o-4IkK4Z&V{n~p>V&hV=U+l!e7VSEHL4G-}u
z`h<!x%5qa?VYTYyCA(-QnvQgqhlz5QI&V3M8!!2wY9LyC!ECJ@mCSHkgwhr%FbsSd
zi+PB!eZ=ZC`w+)Tf!fYY$7?T+0*%Q*hw97^5DUdc!vL*xNb>-&jdGkd9)&Yc47fFD
z5S{lqjch2y#l<?~`<XyIs%%X{wlqyq2jE+Z!HBSVX0L=-$0dwKW}-s2kv&JS{{X>W
zad=IhO+CbQdGQ&Quu($H!Et!71b}Wr3#>vXSWV_IJ7Ll;b~z9WV%8%{_bpVdE_T7u
zg$RWMJOv0Kbtx$010R@a@hgO2-!XESzz)cZS4gw6w+a=9YzkL$#2zM(Sz~;}07?`A
zU7}JXnQ6XeqYWAQnVa6B>7FiPGdGerwC56-&=<-$g>XuPP#039#l^uiaMj!|3r$RG
zdWlI84xo{t2N(;M3Ve(_nu?L$Q7$m#W-NjLo)`oHnkyTY=<Iwuj=zhq=b}I0>TmJ4
z{0_bmtN7dk4d+$d28X2XSiHtDL&T&|w1A}ut!<V$Vw}Q2S>G{{cPizxD*(D3Vo^5w
zBavzQP6!~`iy^55qG-7l1As$RptI78v^~aJN>QK8T4P%&_+b1wF#e;Z{{TENJ1TM)
zD^mn54&b)+`W)|xZ~&-nlgo0xiH~Sr<IzUs-YIS=>*T-`mO^7uBf8<aY=gjx+;pi^
z)B<UB1=#q+o}<)^F;HP{g9xeUd_wFP%K46IgD@4Dz#oYEG2&+vQ1kxdD0MKisflHK
zfGZZRR~}LobO>2XSAnTYLcvH_rk>FRP}x)dlDo&>W^0zb!cY?b0MRLkFDZSRD?}`N
zV&S&!h#a+i!S5oAkI^~<9Gui_t^oG~237#0H8~}ydCf|eFgUAflmO7F97A@^z-}>A
zV!;@Nh8rcMV(jad2So0yT%ti7#Z0VRMYSM87H%28!ybf74IBMIJ76z3xk_&kxtN1M
z$2bQKkm9+QrWCVJ=2FZ8mUz?)KdY#Mwq7Bbjc9qD=73W!G2NL}W@V}1%oA)}Pbew~
zd1)P}Gr512oWb4?aQ7DSg)&qUwY-)_ZbhVn*gL?>nSbO<SY{PQt#cTn9c6#Hg)`)V
z`dL{&BtaxNf7HrP1GRMkx(6kfb%;UXvRoH)u_xKE5rpd&t&zw_VNAuVo5+<c2t=hr
ztQU;3ts0pEQi~b8-NHqsy?shyn_t|o2GH6I9jTR);jb#uWwM15@2QbVK=OuLi1tTQ
z$HW?E0T?PrJxxrotDC4Tr&k%lebl9vf-9{HG{&``EU9aG%v<K5Ev$<Qka|kEz(RpX
z5JDrdxk4qSV{y<z@UdI`O!^X20-J@P$8!Gw5aQyXdB6cg!V}3WAme`+>^mJ0@IQ!<
z6}an<)I{(?*Sp?&n9#<c3W>X^pkGF!+^&4g8FVH<Eddogb*O_~;D*R+Y9ViCvAZ|1
z6AVp~98WTY{24`CBDDViaM5AW1-*i}Ju-}ocx4w`qfNCJ2%iuDC~Gio%DFT}CKp#2
zZq`h+)U=hZHM7`mD_X3{6f!6^<_I8A+-p)Jxx(z31sY)tyZBs(aUoWoT|}iUe3AGi
ze-$>Ee*tz){sz7q{zl-b9sDg0?L~1DOWY01a^H+@u}%~=%Ci0O43(wXZ!s<k;g&Np
z$3wM8WuiH;gAqR@P30_HXwFKEm8c;i-dE~J3o?zL1iiPQtbQOwgU%#jUlSOm@dlYT
zVJbylaKK96e&8jJ-6M!GGVv)~jv8-?OWdK(3>?EPl~AcIR5MF;D3lzyvWlA*FM_wa
z0<tRHeM&*X+lZ7`f)`T(Z*wBi+&Vjl0Cvm4fva^mrF(-~SdP`1N}-jp9?`I_Dixv%
z{^MlDVU)_Y;<pf_{w8*~LIaXqiKNCL#ME>=wJjRCYjq1A<wJjnV!GyKRha0tQ#3Ol
zCfN?iM9JVV#qR^6Ie;Y6fG^Z1?KR7Y_eqExs#Y-_qh4dB)ZS%mAO_;T8{Dfz>`P2a
zs%1h!vg6!sq<NJ;mNYZmpav=f^2`uW+J|;M1gMGZG=|AorpxyT#e0#LOtUCh(j7wd
zzUqC=R4LEw&STgg=M(CJl;_k?Up)urC?^5_=s@k;NEy#^(pIoD;vtj*<l?2WfPD*R
zKCS^Y4kERj^9IqWRCE5SALc`0`JQ2qjwZVh6^=JHNv#Y-{n4$;9(tgS8_RiwkhNwY
ztV_nFiF^p-n7H0->+>lAbU4{E`;Zy2CUE@@Z1|mT1;oY5N}drNXJx_=wRE*u<5N0&
z)I#GbYKR;Jv`V|U^%sUO^$gYbVISNB;%-@yku;Cu4pPEmSOM$?AqCq)0_q;4aiGAH
zEGoAQUm&0xi_80gb%%pC)Ho8srVFdD6GSx=!3NHt5wTTy#0*v|t!^3>-7ym+>=^vS
z630oIao7f{Ib`PrW>hY=$qlVmESGp<DV|XmE)w7@x72MZZ64#AD~9wyzqfVX;Q1+u
zHrDEh^EzH5kh|(PZVYA(jyScz7Z^Z}7Bx_rpjsF{;#zw_<^-NBcrl2G?S=;1^vvwk
zLzk3bdBq&UOVl=xm<?&8krRJ)xrlL8X0O@~rU#hmY{7AH5krC>^q`}8oBm!PN^uvF
z7%6b(2=?FNF0)vrTPn*QAXlknBc~U7iW4XW+)(8Wkf}?^LWj)NBI_QRmx<Fe8rsVN
zIrQK)V3aOxd2Lo8C>A}+iUw+FaOO6Eo4rTso7xVrS22`O?ihkt+Q4f^_9b65Gxam9
zv2mrxf)3tUQ!WwX;<eGBg8}?tfB<XH{GvDh2EUQN;Nwk!k&Nd<Q43$Sm&q&RB1uKb
z{{XH#NlSoTL;=q9vk>qguw2O<(1fF6Ev^d}S%E5ASeJ)_wG#kqU)e3~j=m1%kiNq)
z_?6}wQOFYaSEv!iAkbNav9Vjgm0r~K5Vav{4fqG{B?r4Sz`~$jBD<oYtnn1I475uQ
zV(TjDAOm7)NBqio$fLJ0s_2c9pMgiXbETIRI>|2L{amvk#(v^z+APQ1y0WKp%!Dbq
z-b6JSxkA#&(Wr7Q3=)i}aB)ikAkp#fVK+`ijX+5TR>XRU%#R)dQ*Ci<7|-GqC}wIw
zzl$gZ+qkTCkkK2Cjv#S^6g##}%W8ha0FdnvcX2L)13+x%P--d)xKo&e6)L{Yped=Z
z6Tod)kwSuX4b{pWFu4H>{^G0;u!~HyNe_cG`k2oIEY~p-U2_2m>E2jC$}oaJ=RqD0
zhGPp+g5qq<c??P{$|BD&p1C=Wt@%W2fz&Vx9M@3CEK4bgXnJZ?;6+NVCJ$Ezs;Gl6
zE~vhslu&k7{{X4VOv@jsalk+FB0})0ekDImB0tT6u2x(Rc|UrDjM%~*70+f=r$PS!
zw5t%jIgTrb7aZt=?GQ`#MRAmen@r+T8z^DOo*t#(fGb*qhMy7XXmfreku=llFZZmw
zDnW1+C>q^LJ~`_15o(!Y*o-n?3sN+GC*%STnhSyRY(~3qIEs>yGc}elB>2-a41_PU
zluEi$Y%C<(l6-~4?)WAd0gj1AqIRUrL}A9p;S$~)5gG;_5ZJIm4_t@g+_hx7ZvHs>
zn$IwpmCKm##MF3LB@;Y7$~3NKvX9!E$eOPnrY%jL*Vu6^GczbpQ%_{vlPsy4=2KEM
zLjuAaEI+AnyVd9Wg+GPP&sPVMu4P&Wg#@@sK2rt|QE$4;tG2DlQLB9s$Ko_23dpfQ
zQA)%HhWyIas|8{LL}|&HS##<pj>h5On;pY_eR%U0Qwb(FF>QNHkHke;f?Ol50;NGI
zW9l2$#!}`8!>72+@R=b32KcT=&+#fH;<NbLL_fmive|65TN7u)1e~JxjJ$3!WEcIB
z<Mg@#tP?c0w{rtnD<2k%l4zbH6Z=ENcC{*p(F~JR*gTntL!7dGN~9r65RrjS6E{;@
zh>E{9;x^?LkMD7f5BucOCe6x=XK>j@V)nNwmr}zD11S2f$BC-t=22`0(j;m^7Y?M7
zp81c;QrI$=qi$tU3C1cfrrA8Wa|mW!EzGVCvr!NfE4V!%Zf^5%R)J#YaGh@Ph{p;{
z;EDnO#ZMB3VWjS91gxsB5W*G{P{J-zIp-~PQz8;TXuFClh;@#x6^ICn_ZNU2Lk@+U
zko`wNOu57ms$oW|Y0EX8*))TRabs7C^79D$!s=Mi{Uh^N8O&Ild6f~C;k*`&X1p<|
zprmN-nP7yW!nOK@0iry!1m4%VbtScZOB4X&5zF%|-(1aDcXLO}7NX)!AVB!$8dD0`
zbCwze2J){nAI}q5bKE%ToNYQi%bPON?kOI}Ib@H-mH}9mMYPbf9Y+yyS%zvo1jo!p
z-VUBi_dPH!E8D?F^hFNX-Cm<(sOyQ0Gt+08c{Lru%xeO*1!^q{ej`~XuYWZ%<Q@Z1
zt8(N?)(F#HVjV#2LZW0<(+~ocgDB)_tP?g)m6a>RwT2?hI*x>I!=S?qWrP5AI0#W6
zP{0DLm&8qn%Dl1uC2?C-OnZ(@ew8Wj5UZ!+C(c1@sF^=87^t(7hNs*Jv`}+gbrHh_
z>iCsmj#C*!$ZU#8O9wDX(ICX|>4HY-om^2?bOlYGCKplofUM+&CLJ=*h`s};1Px%r
zEsQ(IU`91}3^#d?RK#R@>r&rJO6L6c7o-p}R~IX!!}JKO{mI93SyVP60VU?<8n4_N
z#?T3rTg-ABTt|kC;=d7-&f=u4?g|#t=AfJyED+~y)L;t4Wo*QtbT!-qopy-q-d0K=
z&;={E#LE`xhujWBmf_YQtoT$>^)8*&v=8P{QmDO@fcA!ML|9!~E2a|L3oDt9H^gL`
zyu$?CO47B0AyQi@SloYK5qhdMDPpY^4O4l2Z00;2Sv|xeMxWspz_4K*JG|A-PexH(
z;t}$tnSP+elEH~}S)sxkCbhU)MA8a=;K~j{<Mk89ZMr`&QV&`Ib4omiG1Z2kq4|!u
z4|1~Hmg3;5Z5S6Zva+oQm^g(vVOz+&LzOhc+_R`bgIuB~pDc(r6tn6(;E#10r&$=F
z6^z4J?6+LSf2l3jby29xvW`%Xt7f(b#04|689t)r96d9K#l@G#zy1v$8;=kad;;!2
zJlvEoC)~N6sZTHPZ46wzhA%~|%q<`-6WfSx%Cr>Us8x!w+7Qli(SG3KK}RbEnA{X~
zU!!@Cx2O&lL_D(@c!)(ZjVdAda~p~ZXYE2$;2L7rIwlul_Cs0fF^#3D+@^rJaMojj
z*WxLFsLF%V#TN}R`i|LcFQ%e}LAt_Xpc=$~$Pi01fck-;!*NBFIoZwP4$~(PfHtM>
z<<TuO!W|5`qWWf{rojU@!dHResDi7t1)8r6)V9jWpJ+%K8>x>)w0sPsvl!*anQ+gk
zVODyT!b_mb)JIUYC_0C|BE{9TFH*>XYok)YY)wmA&jQ2H-~)on)O0rmnszpUM8fG+
zv2POzibT%P=2fl-a6x583*reEOf8I{@d>q+DzxW*AP~b%g95<}iCO9^DS@SV^)9c%
zG3pZV9Gpks#$Ka+7aGpcDGF_`aKLtA>JSQ@Jd=1-j4@>m2e-K2D2mhWUT9OooWPYS
z(}3JF*d#!_=46j>)(p!oUqo208Ei}uYqtahyD%NYe{Kp^C{zXmY_Yv$xA6}JVsJ&u
zdI?|#o33E+1y!4jm0v6e4Y@o)J&{btT&-JzP`Rd5+BJTqouaBNymOm%;u8rotj6?X
zT8BkQOX5`F?6>~_P%uKT1}2f`Vf7xfnJYxDJHQyJp=ex5I+Ubtw*;>nu}`81?qpZ|
zK#XGyYfc-1O14M+XuU<^1{>lMf=g-T%P>OjGkcUSfFN^mPN)#$a?V^<3o5-<#+Ew*
zw{qb$MzLIZOKULzjZvZQ1)=zW*^8-cN{rOy5CQQ5Zd;Ku{L3!tcr0aimI5q*uu^7U
z+KLifge8fwEH*$?SA~Jug-V0mbIPCgBjF?LdzWvqS&u<FsgXBH>Nc@BMO>i~b3<E0
zwaP(;+(I*4$_8RR(JY&Ws>OFTwHPd0#8ghv#H@!aq6;`^!w|}<7$LDh<8p<2*svR9
zh2}3u9A*n28Bw8Lb<`9IEpmB?BK9|!;})+Y<|IX+tS1^dl8!LOnQr5XxnM3XeWm&`
z870~`cYZueI3Axh5!wnGp=06SkyGF96J_o`8%&;JHcC`e3L)L>-J}C=h8h>%?lH>f
zTChO_dWbZKIK)9K8pSL1HH%q%#T%Zdq~qb=&cE}T`4GICgbJ~pV?W|Muz|e|exXNR
z-@{i2EXl&zh>(F7oO_6FOkf^<;US8dapn>uuW9^FSMhA)^2{RJUJfVwhTNArYG2t4
z%v_h!H8nL@S3oQoj0&LEDD;sA9kXly0A$BX>ltbP05eeIZQnO7%$JhxGUYgb@--&8
z?dnnES<OlQqm>}xf9f=rB?TR&Uf4n!m<>R1T*$jnV~aeqPz*<uT7)Iktv)uh)>l%{
z_Wq&6hB1L*e{juz`BIE<#cpcVm=sX$b-2N8%2;<yyn&xciA2qp=H>dfmx~23=TMCl
zkEAV(4l(V8${fHTw#0I!a_mNc-n0JzQ-k^{>J>#8i_$EO!%<pB>t?Dco3POik0nb=
z4U<;+!XL^$3WMgT@~R)^7}_T-q<nEu>dIrJbKsLUm$gG=VEvK4<zd?lmaB2*GAU35
z!gDT+VhUMi6~uQJnP3n(!KMdWGjIO@W7hejhA;wg#AIg3T}pgd4^StykqUyw{0KrX
zTD+Q<ockTM5!C_U)D>*F&unFf3>+~q8~FG=(q`Lb_X;3`kjLU1EhU~VDu@cp5dvW_
zy)2@!**2-q;u?S3m|P1>_XD8bn3h|?W|?dE+7Fbg8kyL)$8qu3i@^dpcdg2kr%X#(
zUr>ib22fPkO<*icM>68TO`;&<?hg8xW)ykD+`lCgvcbE8M$(ZH%S37hCdCs;sdi^6
zLGVaauHdF&xQqsEoRsqv#LbOFCa>uw!7KqChT2CM>8ZaF_c#)mD1?KS<&tPY6HG5S
z@^n-rw)xz81r;zXZV-7!rt;2l+(_yOTXLo7snilqpVUe_fuT&3#e|QJ)FA$%k2pA%
zg-E|71<HxZPx+J>)uAZqv^<_52P94TzY*BpSW<pqF|})6CH-a@3<?bB)Jl#*4f>YY
z+)@d6AD5_Hud|puco}SmsWFFdsB(#b$%ONo7fn<uMq|=bsp%1`4BOT58(K=?0EG4f
zg^4{ahBYgI(Cpj}Ks0|)5}<`>IH2C~4>>>p8hs{Uh1sc-fVx&D+>BLZ=uDc&6Vf~R
z*W@?+Lx0TI!Um~;MB#&(i0o6P{{Y4c%NH9EtNwq3Ah#}VjnpNAXs!=({{YRMUvcwn
zCBW_x6Sps`h-S9YbTv}&?X7%76HC^fWiSTm>J}AQL1<N~)W!hI7L@H=LKGW^QkcW1
z3_494;Nmz1iF6Ne6kQc%F;fOzLxOG;Uu-Vo!w463(FmFq#LqF3O$La_6lKgrR`Oce
zM!}M~yu?wcaa_!aM(>$u3rqVMV{s2xLe0Z1N7SQs5e`TyT%z<h7k8xfsLeQ0+iqa8
zGyakFoY>#uHd(-P<^W9Fbw7yVf~N1778^MT9AF@G5HloOFGMLrT4jC5ZhDQwZG)zY
zIVqlj3jM<i_s!}8hRx-PQ9Ux6U`s=zDBfQ2Ff%rKm-IZKxU;92)|{>&BEh8`M4@Jd
zFK`aX98BOzf*DNITJ5?a5LKa;@$#mZsB<`LZ*x23o~o#e(jwZ^k8<S{u1~47#}c|i
z^_^r*MmAxwN|K2e6y_?ZO@sp#S4l0NzG1v?qN31I;j%0g)HdoGg!z^&-|Av30Riz?
zs6VXV5D>x9v~Q7X4-&O2wT-9<S&wnr?beTU?Vd(hd4x7Ak8-Gr*O?U*GA^a*;g#ft
z3c@gw#Sf7)JCsXf^#!^H;*cfW^&e<#6N3b$p^=f*uMvP^IjyO<=4YFaa`J`|S%{#j
z!)peTz7h2tT>(pjGz=jE11AO|gn+i<=b%wzVQ+}%qnzKE(@pLgA$%pZd>EHP^_H+_
zxbcphFTn!|f&-;%K?q-))0i`CdM)gS6HdTf49%QwASG8(m9S7G^@cyEY>+{!C^<MH
z0-Kzn1sRkJqp8Kmxoi^lxSGu;a6%!q^C(=9=XVi;Zp=irZh58p(s4y9atn`fNWqf_
z0*e><RHUM-ahR&IqnFgn;Ip>6g>1MCJ;I1B-OI#DNEsbNyTfCM8LqLrvIMegcR--(
z^AH!2)K%jI8z_&aJ-}rb6^UQK>D;HuH+;dWAU@KwxfRM^odAYFdB3=g8geD2<&;Gp
zfZo+Hhp{Gf4fe-)IBS4#%611b9=l*UhWn0f0K``0nJmEHFvUt;62_vup<(hw>X}Yu
zEN6DPg@nK#FzNUVs;h<?p2DL%`YjAXgLb0Xe2c^@=z4^?MD0HW4lKDsEl+QynFy$A
zNW;tsjS*8$gK)Uyf-bSVocwHm9e#HHJAX4#*TB@Q!of_gI<pD~`ij9d{DSf!cxZm2
zux$jWd`yz`>avurwF1_n)(ut}S_?7M3<EGV98fVYF{zrkO$vc1&4ZR5nXwreaTygC
z9$E+h)q?1!Ll!M@R|WBcz|!+XL4C;0LM_Xb06oAO<G9Vf1PUiA5XM|2IId%0_X%K9
z&}uRPkk+7Eh)Ru1(+RF8s4|JR{{V<aQHtrdCWZjLD#>cD%Le8GK!Akll~^i?fw+1@
zVXCk!$M#aKQ#g50<>Dw9RWZ!Rfi1`tb+=G^K?ur|7a-8l8RYRDhBAs#Y9Ya5UZU_=
z+o|S-L{uR<I_3r@WIyg&j$n;&%ljP#{-@GH?png?Z^U*oAz8vuKBJ}EY!U@PDmK(0
znei>$CD{BG{{Yy_?m)XCFzkMa1Pfp9I57VJBM47XEz|&-VMw*5$H@^4#X@wwg+NAE
z)d(>)UmBtja@UBE%_ol_j)7?Ulx!-q6*@U3fhma0X?cbkk)9!Z*3=4bFB6_kL^6v|
z#}vfFP-{@IN|r&;s3gtg`iMkhYZ`%7SlZgC_#BNwgqFhPj?ap9zf);cMwy8ND~dd}
zo@JjD8{EM{((yLrw&}C|Ks>~y>Qy4(bi{00VJU$j!HlCXgIrmcsISsdV(V8dg$E1n
zRZT4=^iyo{FJj_es(}Fvgjit#$tr=7A+q6c0*y;ja``zhvtIzugt<_<=Ak5HcMGH;
z9^hMR6&LojN2?%um&JQb^upV`!FYy>aKZ^a68``;q&asS#~te#US-0SVVZ1}@~K#b
z5P1&bc19xvY_O}%buM2$$%0u=g&xQteX`w><n6@2?Fi6gQ<fTR9HsvN12q$Zj~&M;
zja5S|cZR-@I-@(T4QR9gPJT8zg)|vBhMWzdyvOrIm2d~B$AUE#ExZn5=H-^wGp5L`
zm$-po%9r++`3brb>Q^P?j~4)3S5cLi4o;lU8%WYT{X#7V4x@p4H%(Q>3gKtW5H$-R
zG`N(@Lr|Jkd<?pU2r+k4EUj*}@PoNtqrZ_Fm+lj9<G1k(ltck8=(KkZL=1;<Q!%w{
zttCXWjUf49ljUia${{+a3UwS2H&=Cuyz9g!L`xAX@fGNsda8sjjI{%)W|EqLZdqGd
zS`H=qx(^cDxa_Nm0V>U6eT4gfL|n?u4SaedV|!JZF*>O56zL${A084b#|%(Jje-K&
zAXN=!m>Si%sCHKxoL*YgVo@NtaC(<4I9S!S3yDMluOu)H9ZJP_0kAVv$hIIXw$eTT
z`rhD)JfQQ#rVMd%+4D`1!32XFs-#3f0_gFxY(*jfi|9g?&?nyI0zFvBdybaM3v|j@
z4@$?0T@|};_Lk;wtuOI0ZVpX(gEVL~$GJ4)B+3wRq%NDjt<1s~=u!EZi`W{A`4V{d
z8<a`x8VHFhStq<Ghx?j(x&HuEq_=^8Nm<1Lv-ZkP)(S0psD=W?KbV~_N>xB8O9EJ}
zO1ny-Lfyhu!!JP%rqtU+$W}Z1ly@0k8NQLLN=KaKRcVXul{R7_V~8@0oX$~5gcwrl
ziis|+EHRGe;_#w_T)|ciBQz0~fzt7kI4Boq5fwDq#Y1U`US>hmuL#8w2X_`@vT0`5
z-9R2_o>-ZVS|A={Fa}WM@gDK%;#mzd3R9wJz0_2%iS4a0EU{Ef0p+8qnFuNVCBmw5
z0Wx_7y2}`IObLM!z?cH-^$_PeYcnWA1luV2YEYSiEDf2OK^v_eqS9(H-s3@AtY1(#
zT0(%umP$g|QmxjO;^!A9b1+|M`-ECz0-&VOrFx7)H%IdUqTXM5gD!iqF4~GhGu2T|
za}<*ki<V>Nf;<IbD{IZb0*nyCPRzq9iRluqB{HbyB(Ap~G=;mjn1{?-N^TU~6?3a5
zAXf}Y18$?0TstHh<vJMR<du!SCGWCw(<`sN9bL-nS;`1v(KIgR2`>uMDLFpmqI#_c
zqXHn}tc5`q+o6w0cs-FdwYTt=!WbZ(%$s-oD3~~w`(z+4W)QJ3eLyOjH};m&2%{~+
ztS^kqaw7O#AWf%trXz}cfe%QSg4%Z}4F1)fA>tMmN@gLD-F6=3T!YUCiLH7L5HPcY
zH#SJqN}B-ghPH?sH8X?KQgJNEP4$e_G;+RXacmZ*I5BqemdGXvw&oL8UyQ<e?q<2Z
zSyM1uE?5A-rGF3-D<2jT&dBfPmQ&LRZeQ@*`7R>1Kr^_n04bU#y?wsiLDIK-3F}`j
z<$Pv5noP;yS41b_u^r1`;b35HZM4{2vm)wN9+I^JsnLdEf5>V1hppBoU?q&xOgU=u
z7+ETnQ%Y_Np!s3mi@Zz@f#{z^xl}gw9sdBL9#cZHz9RBaT`rkZ-O4;`ag3tbm|<Cm
zsN_yzsgY|OOxt1G6a#^lRP$}HKp-nj+r;u98y;h;c7|bc_u^b=ehH3kr7ZUq>kTm|
zSTb#i?grZrOtV1Fjd&$Y?!5waq6SAW(C4yl;7#<X#lnNcv`Gg5jWd`n2TZ!MXn5)w
zjTm^y5bdQvXAX|xP<10S3^AgaeLx{?VP8>!yWDB!2yT4v3qZ=v*f<|;5I@l_l{uaT
zMl?rs!6=~AFO;Ct76T9}h~+a;veamEFKS$J1Mo(FyH-ko80ePE8|BFi+^c2QnEFVz
z&|AthHs&T%G}_asVZ!c+DO)?4E`u-J3=~citY{3F_RLroUg4o|?U&I-+YL&9R3R{4
z$E)+yP3d7%nQg1^V0hHTD7!N*thI52*fFDvf@}GN7i1{HR_Z<DZPmQYu~67k3diI)
zMR|hdg;n(!z}nO|i07y!%I#&Db%M!Muv~K$)qTOCQ^aw+N=6HOOg_0P1Pg4L=41uY
zdvh0xaU8aB3Coh$-9?w0SGDTpE}xpeQA2wg3%1}1!Z>amM5_d&BCwew2D?^e<_q^0
z#kec+7(z7#jdLgq%J(SDe&K;0qbQY$X2zTnkWfl?MXwG*CafAE==*{oHuOYgLY~sV
z?^a`Nu=Ft6?<^9~a6gngi({7l<5rTR%yP=tom`}u^PI_nvDq8yD+U|**<S}Zifssj
z(1HpA`HEc^h?L$X1%>f2C>zr#2AC#<=3Xl!0AMLBrC=<BfAW<^su_>WeA4Y{Wv8_=
zm<a*cYc|2P6OoYj0dAqhG@Pe6g9a}1jM-qiM&mwiGu-ZS<_)8lM{>oXwhge|Vqh1E
zlNpA;iM4<|5xAjf&AOJ6HFv}sae>DDK<pNlGb-<5U0Dv;f)ofUF|a2qhWixUJj*O*
zsKjAk7V#8v)5GQxs%C5GRU86f(W<)XEzTiWNWr~sl&08xqQ=z}ZJ?=I!HaI-YAUt5
zjB9CtFAf?d)_x`L{B}Q%zr@$h-_6_sX=v^dB-0GyS2(-^{{Y}^p|q%i^0;+DYUP_f
z31TP@!Y7LOiVUM=K{e}`TDt&oEeY9(F{$C=6;G)Sp=WtYjvpN;^kpGHBVCFKdq?3J
z5ZC<RW$UN8IU@A+3b2N$x|JxTHMvauWCvm^R|^qof#)t9!DrS4fGlSfL~G8p)E0*d
zi=qtIQEhwbqiBKQ%oR(KagBOQij~MPrwUz5!dq6q4Aw{pTE)1Jw#rQt8xcbUEXdBQ
z#1W*pxs=DtD9g21go}c;p5N5NK3-ewl^p!HYV!jb8D0HE2*p@slkT$c_D`@%ePeAx
z#U53XF$<8@+@KkPr75^QW<6N6nO`T=xMVQnen~(vUL*S;m6@j>sCXIrAOPl1mQ3mK
zxF|?(T9<m6(3t>v40KI2?Z?z?5wO%h2(_&=k3kY2-IP@^ePCC}j-`r8$#oi$Mw865
z`k}qhg{9JenNY0@lsW$Z<xC@XEFo^I9g^l=vebJ(K^re}nCY}mqv>IwOB%l7i<^i|
z&vPSD8K5ho6tWfoODgj%d>d4DggKnAXW|Vgm-h(AnH2rYNARXAuF+dNN#ksnng9rJ
zz_GD-fab`iRhUS?3zCdX-ne*Q5|{2bC9D)Ir)hY&8bA~eE+C>cqYMJw8&{ZlQr$9z
zb~jN^*awgNVmYaMrZ>blVPvf<P?dBL^E_cCPY2W%=c^zlVPTvQ8PUf`a;29uQDP9<
z&8NAZMoZfScW!A+R1|LZ*<kfk>Jez7HcVM#f@}y#b__xtT892Q&DiLI?1M9bC=9Yt
zikn$m&MFxisDRdp&}!lvV000E^LeKsV7J^bjnyXX+c7M!)mZX^$|gr~T1~d@W=96N
zn#)V-C`G1ik>!9{7Fd<ipsAKgtprM+-ExoE((;bEpU-wzqdBuEMsyV1Jl0Z0(C*_G
z9*bylmPLRSsbv_^@h`=TE%-$ZbS>N^-FRb&8FV&~0DB`GQ!G>5MAE<upLZ2u*Ht}p
z2VcfuNMz~<5w=D~6lGK`v;#1#oHtFed|-+SRYCyU5+;K+E?S13?uv|l;B2z+zj)+Y
zsg|NT?arfR)qG>Aj;rNpx#|3c3F-U|e2shz{H=T|X?M)1b3yxqsSVTANVvUq{0o;Z
z7UDb`sDXJ!Nurh1>gj<X09L%kgDGUg7qZ6dxOen7MrAb`tkigpyBdmDVBj+hw8?sp
zacD;Eb8!)Ey`vW%Iuq0zyvYz-(p4yU0sbP&)v{NOMce^PE!+w?N;x$N8(T@~37G9g
zkf5Y-Dj7q}H9D82#)qoTD*eXHP3#QkBp4$NjW{EUGSRxI;I8<_qvcsxiIf|>!1uTz
zHKHiQC8&#%lGjIi5EsA?T}xo%@{U+$Qqc&Q=G7}9W~b$Rz=s-CJw_oyEMWI$<_rQZ
zgEdpHuOT_j#{)s6{lsJ|te@3{e!t)HrUZumunV1l0$=VPMS=eSbbb+$(AN#(cN-+H
z?q(<eMP<TwJ4vUM;(-$7D&n7ZMUC1?;ZteRT!JkC_(%I@_$ul9W9k>m3ZZ+BScIMT
zpSbho@QdFbV}=B@2b>WymFNSq8FB;(^p&FGmOEZ!IJ0C|`=I0igGn5*)I1#hLJCb~
zGa%VbN6k>k-Sq&BdKy!9?obXaQ!Pj0ITX3?>JxN?Go{-VFjfz8gd3?e%a0~^`iI7w
zv$}(6=Bw^py)Gvr*tS5fI}6@mJ}Hj-j5`h<5rocf@gImTnAYM8)*j)ODbzZjh)t5;
z(go{>P{#<lH6H{;-(_%LAo;(!Ta@2GN7;Bl-Wh~L{2?qc2Pba+rEqyegJ14je+d;<
z_=armN-_9>$mf!WlEqU}fLNuJ%3xjr%FVmd_Ry+2SdAE@PpKm+V7){JTCVjJ8dbLd
zjwOYR1}dNkO|Vexs4#CkFZ_ge#9G@J_drK0l>wx*4a*#6y@++WwJPF3P@(#dATGld
zGXoQBJ1X*rSgo$^Q8s6}Rr59RQfh3E4x!18W)X%vxbs7Z*f3qfzjkV9@Dix8H3d@3
z)TN<Vs~tu$>B69qZIiD2#6d8CNE-;UI{Jxp9;Z2|u^5o=a{P^k5q<lu$CXB{XjG;#
zp|}?QVlk%vkh<2N^fLyK0&arwQrar)7nczNlGG~xCTeg>7wRd#z^0{wU>IAH4DMT`
zp1ewaK{nJ72I7WPwi$61E*vYwL98`w@R5+8J+29DAu0mtMmoe{!3UVBD_|h=;C-R|
zQoglELJe_-*sYSW6$QmL9WM4`UV2~RUtCAAQE^|%z(H)&9A=X(R9sQ0nbzViMxNo)
z#jw}%+5Z3uuajTI*YQ|hhz1Z7iWX<0P`p78$!PvPa3Y~9%6nm5hC&xJTxhOM4lX8x
z8iRRNC_uvArPNbK7_9S)F=hfY743M6a7g7$Ug<4SCSyf2jFcFqUZ}Z(vAsw)X-}C?
zfXlR_p@T$sEs}@`gs-tDjr{)r)X60TW+}Z3)ViY=eWsm33z7shg)$DKSYaZTR-!u@
z%*4V_tpM6f9;OcPG7X+C{{Rpr+>Qozu=M_J{{UGf%yCM%=As6T*=%SX#Atq{Qh66-
z6Rj4^ndMMlxK$@b{^b#J`2L%Q0q|D8xJjGw{{V0YG48+aDFZ4G`GQc)7Um1C7b?a!
zxH8lHKtQ-a9AcnBT07TSW?5nY0q+T=06h81Kn<TVuQoxfRD*pcLe8d2+p8n9D0V~0
z{vp;jEDMnumm!W&OciG&vlij9TAG$aUigOKb5Vdu`xr^kb%G4);C~7IsO&)uD@lbA
zrCJ%NZ*(f$qWcv^4c22i15_}YZGv%709lt?XmJKA7<@q6g$0RTW}$?=j_zed^z6Vo
zg)j{UU(TiHDWiiMeUN|21zi&-UtdjBHp{5$ZFB+`513$c5{jzsH6K7-eM?JR+!j^p
zSkR#BFdm@pK+b-w0M!@R8-g;E2Z`LCScx?S5pJQ+CM}G%VknhW<l3`XrKA3%b~IVA
zJ$aQjOcqRHF;Sqnjx^y1fCC}!9ZBuC4gfG#Vg^#H^)|^}lA}~b$nh4rI=G{8$J^lj
zn5lesU&FR<nobPGwfmo3CF6G)Qo)w;L|Id8z@3QM29YY_W~s;Bw-J$06K-|6aAX_~
zAzP00!go~+IEfTo#jAZdeaofRh$J@DGUf=SKo1uzRg5$Xw!C6p(y+y++ypET$NPg&
zS5@KeV)FPZBcrtpe^C3qC35fOO%mQiIE*woC}LTh;xtG=nTXEz5B7nW{fre`>^vaC
z84#Jlfr~(9A%KJ8Jf=||S803=_W+AsrBxj)RXK;u$XJ|Q&3Le|85{eUTY)K=X6tFp
zB_#_TyvLZ>*JJ^aSm<NOPMJW^*1bV;fGs<RKHryBE!?+q&p*P2WwC8Uv&=*zLYji0
zyXFYX;ucz8M8ht6O3I1mT9S!jvBNFgzjMsbGcDY=aT>fYeUW`yp;J}=0CK2RR=vz#
z3i(Tv>Qkvspafesw$u>8HBk#~7f=`kEIO5Px$Zt-Q3*7QviwUqXo)l(H|`I8h8S#=
z^o&p-SjjBis4I{*!&;og(nnOdE!J>At2z-OlUDUCSFytrwSAy)#3vP?&_#ebTMRiA
z?WoquC=Er&PGhae<OsC2ZGu=!LpQo>k|-Zw!RU6v%yY@8(N5f_Qp8&@(4hz%wvNI+
zXP7XMm8LO-<jmbk6)sj)S5wRGY#vsJ4CO&zo0KbJ7q#=^DA@2*^DLws#C4hqlKen?
z{HDKfR0#Ap_deXjj~r;eCDD%7<|}DV+#n~*Yt#v7wBHaqaa>zm#DcXO_;V~c`$9WE
zmErtCLp2s3{Nu##7P(6RIfQmGeHLX2O`XmPuk!=RHeuS}aVncSqTfUht|@Z*mfDk;
zgc_MR+W=dc7`dD$NXyenhwOr8jQN5M&{m+0T%AEJQKI|D&MC4jnPE}qY+z=CLt&Ue
zY6Au>{^f$(wq>hi!<_LlY0Rz0IIK&u#=$Hq)zoN5LCm05vifdfKwVx7bu7x!R!sK-
z#_CzAw*$mdHb~g5j-p2in+CcNU3L-bs0iaUzAc+D5radMT!&D-)~sE?tpKT1c(|Sc
z$k>5P14W@KH{eif#B=P(Tgi$kS}T_Ol^n>dYfvn~ML=E{2I8%SFsHUsfK(}g3qcWD
z+Lf|_4NxwJGT-VsQl?|&eqF-?_Dks+LK+#<iCV~Qv+5o0ST!s$O2NdZU>JSM^pdSz
zmp|?maOcLMxeTsnW~?35CW&NdrpAt<yQ(D>x4E)vDS4O2Y|;-5MHH$)3k=RG2Z-25
zZ!tR61!r!^?0tq_y4lQv4-l5Z+MHoREn6cEsej--Cp9bNf_YDIT$zVdOpgVU_X5{#
zfHN#DglG32jnTm~hFHoQMB1|`l{JM5)MhtOM1Q18L)`|Zr<r{M`?$jg4pvU0m3kOl
za||@;6Q6mAv>6b*OL}fwY+im<T)h#UB|%)#$<%Pi=a|j(7MKiGp9oP)?q3gBV&mGF
z4+(nPfw@YCbs;`6s2EcA_bFp|M7)B)Tsatdi>mlW<<f2tT-e+*L$o3k1_vd7@?r|l
zZf0;$C!~nNqr^ZI8zBU;)z%|WIS)FTKHrLW7}xW$aKtgva)^d3vn{!UP8gv}m5d3`
za_t8d3p*IeG$vphA+(JwR)dH6p!eq$+;S*4?lbdqGFusx@A)l2r*(U{JJ6wdh)Co|
z%-2O6r880A5Ya5*ISd1Pxa>5A!y>zv;+1d+e%w;6L{JDw>XAV%`MmQ9RiChz0*gzG
z%%H?<M;*%5umQ8OA7~NW9l~53Ih99lL&UVqJB?sdvLF?p4&oRT(*y>uAiWZ`3W3So
zc`_PixD&F7Sk=ZbM75ZMOSEbhE!;}f0p|fIfHN#yikgT^O)Rn2C{u^D2=5_nmcuNi
zlo?;Tp`ljuE0u1>-_$UhlwLn`DqYV4W%>cIpsTxGY!}6bII}g7SJVkNnyMG9jfa1k
zgXi183|ax02KrqC{YwC{a6&~lCsE@N8Nh(7wr@BtNu%B)ohvlM+<FgUI*sTG84}!9
z1u%=vP*EK>ETvsrXoF<6;x&sH)UeW}q^%bTbh%5}Fz{oV#OJ;RnvX`))Re?HgJ5PL
znhRl`s`!lUcgZM03&=Q+rxDyvrPEnO$A736YM>c&NNV1u7`ko??hzN1E2zHRRUO1a
zihy+}R?5npXh1sxw%CfnGBDs!i3`5b)(jh93Ubj4K@rMs<;EFaFsRF1M7oF^b0B1T
zmE(41gso>9VkL_kvGExZR6`I$YPjJjcb2?6CNfhqe0Y}zX_Xex^i++y6ljAiG(^5|
z5H|~kA$A`Thi<Rh3<jDvWGLK%ypRY}3aX+4uRBJrTaZxpuvtGZ=^3s8w|5Sm&>n?C
z(E3YU)W05KW^&D4MItn3gHPP50V)c&7WE4qz9P4*L`cygoWQ2y6Mq_9saF+UDxy($
zTqs*(2Huk<;ww?CM_rw_O~FN7yf-OT>x&qSw2&CK;gX(!0nFSf17h_MMfq^R`%w3k
zS^G$nR~(y61kC3(W$*k&Zd&V0Yly3FUicO`%&t{Ua;!gTel^f64By;(X{gd`TaFaC
zv@2#HrwVe@$pgFwkT4dphVs2E04sa=r*YY=%r)1Tyo{^7OB%OHQF00;T9rDE6PTK+
z%TY2><}Mm3E@d&?SjrqwWv}QeRN&;)r|l3P>L^R2>y+wVU9W9<iVDuwhNcs-`<ig(
zS9D3(MWWSk{^6na{{V5<{5EFQI6yNpv_dZpd__}KMm{4<=ECYLuFj@{qfs7IQC#c!
z_x8S}hE)sv4Ij$A1+6A(*hab(o~V{rRaN5U_)%y>#C{3^Q5d!rafy>Ouz=RAh>30H
zRACBwmO4ui2Ck;W2>6d=O(f1P>QQ@(DIMlgZVD3E0>Z$TTHb|jD5#0(D^R&=wGfOj
zD3@WEu<qZaJ&>$)g=uXqOO-B&S8T;<KS2mD>4S1$=p$R53E~q9z-B#wW?KS7eF)@I
zV17utAz}?U#B1AYfp?xGJJr_)2Cczh(I^}^fKm8|xbH0hZ^RrRidmQ32Fk<!a4DY3
z#gO=ekX%AWlG88Lu8FGu0CXH2+dumdc7pceN-UF<I|eZ3>k|%CTr2l8U+C@zl77q-
zQOjU<{071kD)$>j_3oiYE*A%GIVuKSQ9!r^Rq>eST{2>3EJ3>&it^eM5<sgQ%YeCP
zntmELaLN-WaWDwAg~%Z7*<?N5BuY~#z)_9OR=^-^xQxUFY9T}6`ho>CS~^A&?gMWq
zXtxG4aX1mLiZEI=<{=!Sk&0q{5%P>BP6qjweAp~OPCcyTWHdT~xT56maf7{qO-gRS
z3QSj15(X_P&Z|AbFP6s;>-AIs=TXJ)zHTeKA?3{0RJd)N#Wg^-ZJ6KO+5pGIbWfxg
zQ)P(j{$uXhvDb)s@G9=`v(P&LK^+#QJ;NV~A|SNc5z7jRtDJ4|7BgrID+(5nniGGG
z9-+UD^J(VzzLK1LX!g{%Wm1Q!Wg;5;l!cxja2wudT*m$@Pl$Jzeo_3u71B&Gk-D73
zov7pki7*<eMVm&KU+Puy*v@-=)K`4O>wWgQQtNI^Z@kLI!e?L5;ML^KP1BPXlutg0
zbjv`BYxNy`ZuJ_2uyG4h<!1Vcc-d17s#G(x%i;_7NnAj{I)Poha|#xW_?9e;mwS~o
z9ozw}xfw)lUlR!n0pOIGJT9S~3uMF$EY;+PkP_TcQ+-6o6xJ3WguSh@&x`twN>F{0
zv2t|AnPRs(g_O_#07Nr>*z4qb#*>2E{sg)*$YALQ6%yPRa4{y}6;qg$!~&$ky;uox
zh~brn8Kkdw5|uC}Vkq7N_@bg+AJQdU1+z%Uz1@%CDr#8&00g!zf;oGY=U{OkiHwit
zK-lHjW?1qF#R+X{E+#vSfu>wpqnS(LvbpqQo0ReST4hSu^2?@GEn*QZclsrO5s(k5
znL}dZAXC0!h8APv#0dd5<`H$NlBXGt6#@q&w%(v{#DI-N9!tE-5V@VDpJFVMkbqfZ
z%oU$ft$)G|OWX(UJ0<*s;KByVjB@}arM#J4#PJ-<W+~*Z$h9t`D1fZ8V5A7Y4+w^i
zty~v!N}o~g19@$=;`y6B;)De-U@>ZDT&04h;9BcOzc7n!GyNsCC5`@+mR{>^1-N0b
zRCX@quOx>Q5Y0W%J-LP=Y(qz^<`{6XK)YMSy%zn`?TwVm$0b|l8Yz)5;!>&}vR#j=
zl!+mPR`{0J{i*MQ0l}-n8z`3za7Nw`t_(wYW@Unf1ve?csXVaAY%yk~-*sM5-D+1K
z@H5dWq~l0^PSl(xcJG<4o8uP_<pm~C9@T)Oo4!7l2s7GV8CQKmz#C<l%IME=L5G*A
zTR0eQXf)K^b+yN=qeWYKm>CkD;VkW_;G*TBRTV<Fij_BTwwzNafCyT_QC!2Ix-U^q
zs+C<uzD4OtmGzprWSH4wWDQc`2mFo2>ti6p8h~4BH8ENR5p67cI-7x=znhr$J`Ix*
zq|7XH8)~i8V2*aERZ)pZ<0Y!NNl#3sJD?YF9Lk|RASrZc#9|qNreSAcs*Q{6#-PJ#
zEt0_Mc+chmhRU<4Noea!5vqDFJiJW!fsyYjF$^Jvbq6Num!f4bC<liB05K_J%oS4X
zw~X78P}v>DuqsEHiCQ_Rcu3(FvdV@WT5G5_)+bCiF;6eRm?)M%3yP?mBl$}%v_Kul
zb1c?likHM)km#*3R4u*vjf`#==`%Sj^WruV1yles?QMuX?gQx!r#jrC!r0_T#+KqL
z0>gtaOvtLKo2}&`D(7gVfd|11#r$b#7H7&sfc_=w^ccll5~|Cm*)EI7I+nn<See01
z86ljq@hN#^<rOUfaVw}5k(j0GD<m@MfZ$tDY~Ua*U>(6}ODPyHW*jA1)0pNU5MpHw
z73b-g2p776IB8Lw)qxzL-5}2jP{XGk%}&2kpVFJO<}F*yFkDOhu>H$95BWn;*T*?^
z8UtmfZ7RRPtK4&i@mb|85CDT1yo#SjD)4lOAVqB~n;HmZiy)(E<M^eA24JUU>NCo1
zZAV~_Kk-gAD2K?pB^=qjF#;$b?joZOW$Kw|fxW=6=M^{%k07Sl&Vktk^k^kUKAL<4
zcrq!v6L-wwDS{QSu^qDh;*&!c8Et`Rt+Zkk7U>yzFEP$u{{Rrnv2cLpxos$}yMa`q
z4k+4(gc;&YKk+RHinDi*m3zQT$g9D#U?3uqB!)PK1gV#O!%J&@kb+~w;xw1*a?JLT
zd@3KeDQFFK#J)HK1wP;d0Pm=_H0~OL^N=c&IJDrnV4A}g{ai%{UAnCC+^|%pc^!zP
zMWO!ybf|nC)L+$0oLjxrI1LoPMm0)S29)pWTS$!PT}vGcn5%!ehX)x;WVme+lS(-O
zfbas(#ND}0g>LJ_VsfC-&8zbsppfwrm@Ku?kM}V3+4i^!)}|1iYzqyOG>c5-3Zq|w
z8x4B2tyX3{ffh@7UEq(KAPbj~Ypg@w=7xa|;}aAqizCHw;w2k?3zVG&xwQWPa2mXX
zNigIkK${E)8z~yGLr-%AmbqaR^)YVhWy{aFH;Lx4OI+8BMumtp!A-k&7r2{cZc0qA
zX4&V7ycS2?%d4j58;l`=pMyBY{3lW4g;^*Sm7g-Ze4<^@#CaoXi?UWHkarwaa-?n#
zrV~KScGRaGaB7-AQOI=w##+T>us#uMA7J+uUARnOId-n60$#yl!OU{uv3U3>&m$jb
zZx93BU-*e$Bp!tY23~(jXO0NGOBO6>Otk{A(JXmTMb@_wZ~CL)&2bRBTuo;wxiozC
z_%#=axt)#ca46jNSkM`&J9>oAgs(72>s7yrP^dS030w!8icp%0Z!kbMVy$Q4St(0=
zuwV}bxP1Y%m7Cjx`ZzNT5s{1UDt6A|8s4o0HVBR)AsHH=c$dOeRJa~4FjD0JnIJ(2
znBhfislkJ&SO_pV2vohQ;59mx6Da`0S-71Csl<A%K^O&#M&awfTtu|)&D0bmGDW89
zX|NG4S8~l_Mw0fZZkX;4Jl~jNinv5po<)@gj5rv0Fct#)_XGt*xQ)u<UDzHYH*U4!
zTD@X#9|+G-I$tp8h{a48tCW5vD`W{~^H7EbL^z|EYXq^9=y50mU3_7IFOmTS@e!7|
z#Jr9bmLOQoFlz*`eZ);d@0j$Nn-9V^)pPP}l`CjhFzX|>)G@oILfAtFG5iAruj5^n
zad6I5zS64@HjeHaAO`ml?B?yuEGf2^5dxI)6{;JR<v$$UW~`!8@#>CXpZWm^#4<1|
z958ya-qD#q*;_ozrHa906^T_VLBY79)kR=ih$V{C(r5v4c#g0)LGc-xaG)8n1w~iM
z)S%LUbJPK?d|VA;nz&vQt=N92K24ck;+x_-m%~<>5}iO*Ofxm6R9YK(Nv7q7pE0{5
z2rA~DBD~iRLGB0<TEVZlGOnwz;}Kzy9($V1&Yk4J+^@HbXfei)*#7|W1*5<+ST4N4
zU&lZ{^D#@Ua9%272x?UQY73xn9E7LYn74RwQ-v7&e++t*<7gEZ_bo!j)GPoaHtveX
za6n)M-KH)!XjABN46(=^iC`U-aE}~H0kwTgcA$K>{KFH04hsRC&E}4H`<9M8x9D_g
zGxk%T8h}4{T2hboF{oI&Is3U_Cdj33f}sc;2L;u5g+n$*JOpk+HC>Y|U6^088-meB
zo?Ddv04T6i(-1T(7VY8#2Nfyy%*A^%=<5*s8ecEWTv{L~FLc1lo(%B~j`&p@l{xcy
zxXBe<stGGVGREZ%IF7Nw-!kWJfcWk%AYKW!U+f|qto*oxpdxFCglf17CA1XBA#DMY
z6{!)ks3mzX3`8ioK%AfPOG9@)KT?gXp|JhLNo$QJc$F_91&1pJg_&Qu!HFBssg}t`
zGr<G|BtQ(Tu~GE6gN4kP943D#!E4(#OF;xcn1EHOSxsk$;>F@#)uc{}X7db3GAcdF
zNKa~09OVU=NN3&=1x?!Kqk`7S`%0h6lxcPaToxmVYLRRF!;*+<77isE08^iFbB8A~
zo3L=yIkk+nGb76L5&>@V+;hCatfAM4w-wJb6%9%{iIyxS!!n^9q;i)2V<~cZhgcC&
zMh>D7iDEe=A}-rUBkvYKNwCYPzd!6SDAhUYIo@J`i|Q&%tiEBZVbmk7X2JoJwg4qY
za#Lz$r%E%d_=4;Tv~eF+FD!c%Ra6H>Ry>f6xd~h)fd@kT#bM9f+*mamTI7|yHtGCL
zfUWHj*qs*!4Uxnx(1yLi#~sYf{Iar2>?nkiN*Kg0*aujgsw390myJWlv+*oS8hcF4
zzqS=H_DW|v3vpmBmf=8Hsa4c9p@cAxYVI)uX~OOan5{0oz$2=Ns{zzcBbWpSQ&3i7
zz<N~j<|z{^%WMcDY8MdQq`_`rv;r%+?;43p^2{o4;CS6eP!9w)sDZKt#Zsx5n;X#r
z4nj~cn%p(0bP%E0yT6g9=0#QRT2qzD%){ptVigV?_xwTx0{;LO!-2b)8+(=ncWVk3
zaZ#Hpm2gtdWe(s}D&8RM7(B~RP-tBqpt@;QFzQ};fEzxc*l~o@#Hz81sF-X^8g)84
zC9+%!M!9(Fdx5097%j&)=KN<!nh|BGTN|yxB^9waVqn(VgJ#S;dzObr<;%J(M%G|C
z;sbE%6&N9KD*2M4^OCF(+bd(V#hO#pbz<8G<%uAv3Xka+SrwVjCC3>CMXD6C$muvy
zfWI>}63M6A0aceEuf0turej+j+`gEwA6K|~6P|?gb2U>D*x{pGMj6x=mHz;BGhQ15
zdNc2c>4k9@`RXkD&AsfhVSG{C)qzOEW-aR9N&rjh%cmr{y0K8+9~#tOqS>)hustC2
z&uvQ272v<JSXDx;cJnS~{YJnlD$Wq9(3iv31rDL`#hEN=XL=;l1uUb*n!XV<JVQJs
zcQ<U?5|7joo8?sX0OAz{oZhpzU?mAfJ(z~?ik|K>T9pQNA{4a%7X*DrA=$g^Mo3*D
zEX4L~iU&Jse~Ddn?9;AgiCj4TW)K(wv4ntDV`^2~U<1zgDI8+JuX6%<0gR-HcSJJW
zVB=g6z>wL*sZ{*LEZ1=w;Np0zmP12h+#C9oexi*pjK-9rwpxvLEs)GGHJ07@C5`S~
z^A=cRR=a<Dojvj|0c&)Xl+Dj6W+ogthaSB8h!wn%vFdjqG^;6a+945Q!C?WZYk-hc
z3Om;i#bdCTu&3CApA?0%yA{UVrLQDQY|)4oUg4G-)ig}ZV(&4ZWEKKY1(KHuR~nc=
zU88)k^h}C_GW+znxP?e+D@#raF#uphp!Wj-KwCvWo+6kiNb9etFuN+UZZb_`BH}UK
zRl+pjYT?o<{K{f&HPudx^9`J#@a=<4tOS&sg5a7`^8o-YHy9g=ms+tMOE*_8A`XK5
z!*!D~?TPUf>P_NTq8!06%%Lh4nuWd)#a&>Qz~)#k7g~26Jx^k|2@SEeG#Qo5wa{d#
zW-35(kS*e|2-fC8IZF;BXD6f?z9SrngGS)a7!08_FoIe#jg}Ay$ZRe)jIS_drF4ed
zdS(uMsv<%Yeqvs3Cr%+qj9ANrVz^x_zBpi!pSX*2Jj-kabaR<e!%}w4q#k2h736aV
z)d~xk*O^>O=P~pITd!XsYQ8b$PGwv>k;+mBE^wSogW=+5+N^S(-<=<S9fp-G4xft|
zhxma5u3%Xz1%)aS1KdC;vB|Ibs<ykHK%uMI9m)a^QQf75&!o<}W$9jG=Ef47%*qlG
zUY;yMVT9><f*7X5Fk3&yEpaXpbN>KcOO~o_rOiMwNwYLCPXT^&nu57Ij@5!W@{Ak*
z0A#;GR)vR@S!z{?X$7q=q4oH#A&o&&suKm!Tmv4Gf#MXdQP3(1YZm*LOKGwBh)*Ms
z#B9yGgwb?^4$02UWU*F{QLJH7z!gvR_bSVp)MU6O-%*3{4CB)&R;zwuF9ai5C-o|z
zL4r~QJcj=O?Sx3R3@ydW76=3VO|dx8ZzXe?bwUbP+&t4Q>^#hWU{uA-3~DwM)+330
zu&ZA2E%X$738#V~X%}285kdygz{m9jX{_ub%?P8F(c%t1qV;}YYznG^Qb87DZsxpn
zIchB|q%=z-;bO<r)IqX=b>(x!tMcl}DXf-U9YGu-Q69uXs61E@uyVzAjAgWx%G(-2
z?gGo9ZlVB&F5(o&D2gZnUl3rPfEITN-cqY0Rb=rMLpvALX5h7$S)mt#5LS4H#Us0(
zDQain$IhrjEM>Gl18+5T#Jx?c1Bpa>r(`4HBL~z+YZQgWLe3&p<*}QDj@F<^;!$Eb
zzNHy}svN|7j!A679rX`=(FN{aP+Cfd3Y!7?hz{?w!z;tbl%fK*T*5O-KT#8*slB%W
zqg0EPqUu%P481v372^u9g-7ASh-*S`5JX?7siDjD11PsqG=DH;M@W1w+(LtK10Wyw
zFWIbIQouR9Mpmf{!!J@xBTYpCYrl;q(!3>cUk=}$ABq?$M#y5?g@9i_JX1}wrG%CC
z9j-%lFD6!29*DKXUlG1E4-hqkw&jY1LYiSh+)999*o9r?mLSry-zAgOOvHz_<CrS7
zbAP~X>*B*HNFHJ;u{P~2kz!|YRof>%;K;!YYfXEPE*Xxb8PSgR2o8O~fQ_+)(ZG?f
zl<DRNF%m1q*lGrKS%%#e8byVLbqQb(97R5IYXqTo!pzwg;)`9w5a_2c0tDB03gunF
zyu>9ys4P`Z4_`a8T(79}pj8=Xz|;<HK_@Viy-LCAP*rrGhC1705|sH7FB;u)Jj-mZ
zZYehgFEE2<KY-3-VGs{+N`kd8W*0PK`<1Gm(QUe~U&v{f@fDxSiQ5b;Qrn2=2CEPm
zh^$AfR22yvGQ&BoVldUSLz?DYOm5*W%7F*Snq@ON(|=O{Qm`)`BMbwq0~$O_C=GG8
zSHeNn82Pi-k>!Y~wdZ89mUVP$1uU<PB+62%dqZ`gg>fwmi{@3A6|N;=*<*+_s<(0)
zpc5!Xl2^n|>Yl2H*jv!t%;2bI2tn8`i0Y@3Z1pQ#M6(mE+gC9uzipU^TOI^ZwDy37
zt>(Dj?oidMrwu$yxAN!<{GiuiB2g8;sDJ}pf!p^K=z^5Ff}`Rj-CFw{?k4-O&-R*e
zXx9SRN5JKrr?E+#ijJR%IbC(I?kEMuv)>WFm=4N#mNaWyLYVwZV%1kW<{u-hEg6pO
zKr;{2RnQ70?${Jq8wM&ZAK>*aSX>t4`;|H-h`d+gQB(j^ebfp(-TPzX#kQ)3DX?~?
z8v2!2WHNd<gMc;*`;~OE(&Z}#eL!Ck5wnq)j3v=Mv~D@8Qe9aW%8}wi(+>>A2Kou<
zW8_GtD339C1EN90kx~!>#cXBBL{VlSVnwW@8uK;HdV=47r7D@Ja*m4ju^2;k5(GDN
zC8_|bJxhRd4>t!+TL?wine3Y{ahYATY|eA);esKip?$^BRwoq_B*sPnV7#IaLD4G}
z;UZ;zTqM>PlI~=#5H+|`R+&sxCg8hpK`Mn^exm0NyJZZWZC0ZdC2zlJbX8>I)hM)C
ziwE3pLgAkUcJ3foOerB28H3pzG>SJDBw9hvFN7?-63~{KP%a?fCs1kv9<*=VT78A4
zG`mEu)mVgk%u=OfTJSGZm!#&LDiT=+hGyaXM1Xz_Rc7TGT)0~=Bd>>V$ccXvjG2jB
z=Bf)08QR@ctlgxmrToSyP%VHcBhAVIe<M%_LA!y>4{)|vcWh#jtQJBo#15tHR^VZe
z3r5tkQXQdC{6h^r<QD$`HcE#@5uyx12B6+58uo@J*G<IWIA$UcCLp&7cNc~}0Z@#2
zVl8P5+?NtsfYho5ZH^@<vf%YI=p50BPBSnJvMdF_RbJ)-1}%pN5P=PGa0LrRG^~lr
zK>KM(!K?{%=3qS{H#QgMJQNXX31$f6x6%?bIE4e_=IHYpiMfgh9@9~3K;X*=p)EQK
z;Sg^L52!YO5rEkYUP2!U_){tKa}P9PCE@!c3xU*f06+0-{IR9kKX44i2$pJV^#Fzx
z(}l_fYd9RD0UXSerYf-EDQY=(hH5&DAz-Bj{OdJRjiSPIKvWjTr>RN!&Sj_8X;fG%
zZf%$3=NX5rQBt^>=>FoL7-4IHU(5paWl9E*8Jr2|AzX$*!QxUv4qhXmt9T$!z&V2X
zizD8p^nza*cNmHReGs#pJE62DmO{~hZAQZik#1@Z0CNQ}Oj9u%FDIJRRhQ8k&0T%M
z-hxZmZhmDBo`GZ4sIP4Tl~@aZF?fONH}x{c-Yqdyt+F31)i(?BrnaiM-*b0u8D;ah
zNKKjoy+mLZk%M$AWJ0_d1<aNEm}g&AP-l;*BoURyOlm*mh_pMMa}!D8-*Mg{17z&?
z7Lo&6RuASB8Y%Kcp;^IrZVXvRuVqUTwbL!;0}aKQL`)LYGBt=)K#~=BU#K|Mfu0Qd
zl=fhiseg-(YydYa%*M;FQr9tPb<$;o<0w}sDtnx}0qB9%vIWOj{{XrwHHPsC)iIc_
z*tn=wR<_1GRVq?No4InMNQu6ni^T-ktUSv}NThWrY9<(tQZPp2wR@5U#^xiIEZhw|
z$XPbK<c1$CCdhA-sc;B%vF=prEo~CA0+Ga7Ou%>IdPV|LoT&_sE>brXjfIhnJ*zA?
zh}X_ZkSd_hJcXA5S{ZIFO@dpdFtp<V2PY?(M2?!MV^recu3M&M>7X#!fJjdyUxNna
zc|FhJh^Qh>zcaV^nj^2CWfa3KtuKBdNG)W4s7!Hy%h1MPjR2#?T(6}zC;i14-GWFX
z-suD(zU|#apaoI4an0%qMd%{ZhcUf$#12}6m|U@7nJ8Vc&pVG&v<;lWL8U*q*uBfk
zzu*$q9Y8kV81_^Yw4)N*a}BEH(n>-KL0CZQ(;wU=p5k5$4O59bF(T-xPa)!R3Wi!8
zn}EgqK=4-Vy0QVM!3DtO%N}6*f-}&J1Tlu@W)h#H_?l%=AgMUNQJKQO?ixRl!o{=_
zsu)BAV%&8900MN@oJ4mcIc2L3wa@%o{{RQX%kL_+a1pL)Hb+3%+*?k}#~7i!H*-WK
zLq+<HP|7I2aA!3kHo4vi`X+X2D3NWBw4A~63(q_dLGR~FC4~TOGvzQ>6`aI7gPU$q
z)uMnYfR5V-NI=o1#>kGqNYfioFkI$qWd_O$CV5*5_eU%p@^293nQ>EaLr&$0if^jC
zN8%fNR7Lv(8J7cq9wOTW+m8$ianvbT0byJt1#XzAM@xg;@_$eyma3Ly{?LFf;{a6+
z+f?o$M{<|<gKj>EV7YSVEaq0g5?`qNMq9H{I*lSK&{*|9bB^I!=cxEofL{09dBjv9
zMuEf35N*$v0sbS3<@UPfqIF_c!LQt|61{{<%j~T7fy5`Kl}}oRvpEzmQ1yntgugLQ
z(0TTg0f^aeljBge-GhMcJYE8@zW$+1gq)DW4^A>ucl23|soPUnnS&rGilb`MZONV?
zku{|ugZh=#JqMF_Qv72@Dykq_ibTFHNVj4mRWh#k{!uZ`ol#M2&|ZGvEGlgE2+GdM
zk&%01sSqRa5^mV1h$+IY7M9{qEQ0ecHb&;jaZi+?tRqoRZl;tKgP1XBVSGyFb{dIX
zgNS^9D%>&%vkY|8m$_)l#uA*V(9f8WD%D)Q;A0F&FyYL8ULaU7j&YbzT#%`Ij&$WA
zE@GCNF*v-j`8Rl)>YIZEX{H*`bNiki8;dGvZYs5)1QQLLw-;Ka7~xCA+Bm;xwPw_0
z8)a8Qrb#t$l9HN4h`UFa0Ap%M*PFRyQ=XAfTOOdPyfqzvI=V&;OJeXMsN6+e>fum^
z;CgwANPMsh*77pPR4Zmw0ml%qv8=0lfk^S+YF7{rNx4(%WLXMt8=R*K_QlpUwn2!r
zD#MvT?`jxgZq~>(%*z^EGcG4gv2;XKzo?;UH2(mJzCA&H&=80jFv=5#jA~&bUN+oY
z$dOLsZ7Xq6CYIocm)K=OF0$?;8o+eKxyj;GpF|czFRQ*{g&l4hz;QxTCwZu_)1b;e
zU}mbW54OBQP^QMoNpsDT{K|l?%z{(w$qVKSASVj`hw)AGAV$Mwn~sb9Kr$<Z@d(xg
zxsFz~{DDwJH*5_=u`_rPQB3OVUnZlsxNZt8ST$(gA`8V-y5s&We}<(}zI7Z!V{+kB
z5KSgY;u@{6LT-gryZ08#JVn$BfpKge>w=G~P>OgEPJ4>*d4<yja;j{i4h1{Y5>Ei%
zF*%86c+mg|VRmO_1-rR&3wYFDeJw|6!FVE)@rH=AIv6Svz`_c)q6Y(^xp!LJrneff
zW3!Ag7fa=CBZeSL+E+zd=nmoL+**iYNG6jT=m2ef5Ybm=5QH7DdxYL1FWHrX&;fX<
zRFJCjrw@qC=NU-ph(8MQ9FE*GXCP`V$-_+JToA1zf;4w9(D1m-0t*=hV1!wk1IEjk
zEKSW%kywXD?$glo9VZy(iO;?!pD$AiRjEf}OAuG>ihL?|?>%ZE@c1g+DkEz~Gmj)P
zcT|sWXhsJdhWBq8gR}%%2H#VA6f^UM<j)X-dq?!DxClYtUzwIW2v1fJt}S}oR(N2n
zQz2)g+y=W;wB@*?!lA=YBCa$omiCJxS};HDE9G&B2R56FpT8tn)~_X37u>REjlnJj
z19J}L+FX0cynbL=hE1*tgZ#swce!jGVp#UdfklDsj}U@bg{(+PHHJ~ueLz;hQx)1`
zEvZVAJermu-EWDCWCh3_H&AjHud4SRAYmXcIVL37GM*Sk&;@UfAdD*Hypg~Y$}QMN
zDMOiraL~f|YpGm_(8{G_h`P4OTqus$CwUMWtBy82O)};c)(d4`A21qKk*T8sNNLDg
zW=}_!9@~W95k#Hggr(G{C^r?{$dU<jr;#k8W}^fH)Ud1$qeX6N_W}iNiiT(dxt=|s
zhcYr$Di*o8Hn~@QV(7yxlUH|{P)G)Ht-dN$rigfDI*4IBK?pR;;_0?Fqq;icP;$V*
zXjhpnU|xg5YTg-Xt5(qVawUrHk_B927ZtMN+5Bo7ng#hI6To>1hFk9Vm~aH>vBq>D
za{?%eLKudcv9D!MwU5WKUQRs5rV;d^R>})fRK0E!OBkT&7YkfxZ|OSJY;_A}l!a;`
zUAPY%#0!ukXX;mn2VlW7#zNBHGJ>8(&Ct7w7+S4C9z|Xy;Q;THO|ZToDd+go^DfZW
zP%vS$5a3nIq%=kS!2y>Y=`31UU~Ae_D!^V@%5vtyMnl&V*wfKjVey7gp%~jbJWPe#
zmUYiEk&z0g7QB9=18cbAevJJOh}iUh5DF$Ss5U6N>N}AFtPj)!Wt1r~ujKv=$_AFE
z6qEpt<s#GHz%7-r)Ua&oGevKo`8ECwsxT&t@wCz;3x;X1R>!*TaJMb)J{hGnq;3Is
zY&bN)`Bw84h73|Sjuq0tvB9LgDGE*jxlvI0ghPQd1lnU=MO3|Di@WM$_XR4IuX>9h
zr&9FNxb+oLP3ASQ_b+Pikc5<IV&G>nS9Qz*;{;|_g>I$Ga5`r&c}>}dA5zti`jsck
zkRu2Il02K2$El1lLnM4Q6*y`JK#VXGZku$KHTFRQ(!Z@1VN_#h;x6VDlq;e$c2TM)
zWTur?)!Dsg@hZk|krhDI5W$8(R)+B`l5kwrm2ZiJ5lK--KQZ#OJUZ@bClDaREkoh8
zm=e4|iYqF0>kb~_tO<se$2V2JVE+KiSD2UPIY2{tdWLnIG1LYQ&4H~+xchy;Tw}4t
zK`<=M(CQ^XysN$a!@kv~4k0q~^#~^?6JAZ|5uuu&xOV|Yu>r{`UM^S2pxK2tadHg<
z6b%k##qa7M^uf}S<+B*z^tGAPwtIwXZT(`;U`5qlk#^t>B4)wvA)g>UOEt(v!I&7S
zLfar$>R#>*BW<pfs1BuvOO<t3h^at8a}}s`8Db}au+j}T1x6uT)#O}u@I!88i}nj`
zmMoa7EopUm1O==)g^%o+$!rBg0Fw){H@2X&&ov&PSQD735My%L0PZ~9Sd0~64rZ_y
ze+n7C>Mt!&sYEeC>Y_bNk0*ZM-kbdruEH@HKr3r|mfKHqz{0YDUSXd`qBk7X@f8RM
zO|gXJtdlRoz^VXLIbZ|sn?4=i@K&oAnM#Xcq9<TB@hVWR32~^AC=le$So}fq(rf<V
z%kefp+71~~1)Xh=0qR986t-*?Y`pllU(_HP#ew*lx=>&IZVG6LcYEIJP%|*GtF!K*
zKq*TBjOS4TsUqm&GgWpWT>hmI=X8qx0oe^E^0Wz8ftDi5%cq0+6I+{(rBR*(aFbh1
zBU!u~l<k6paRpfIsb>QuWQXk&ZePr;XxJ^p%d)JN0rr^DQH>W9SBypFMJx50oKA6t
ztjN1ykTPaF!Htt}_lzwmeZ!jOn1^RG7$U92G>I;%2iP1zp!ohZK#9q6go3mY2XPo&
zZ7&`e6~!)b4IjzUm6EeBOjJuIDDjy=il};+jJpEnTAm33n`?<!ulY6pAyDkNE}BsM
zZSdY`iq>vzO4M*7OWGT~W^=L1)Ib$>V}hCx>QYh#K@LmW<%2~NFsuq36$wR9OW*ir
z2wB+}EY-pM!q#gxQgss(Y{JOaJaOP)v1()Cju~L^-M1dii15JSyin9|rlO2Fl?T)X
z9^*8kT{Q&^@n-GkF&zxA@Pj@G2FIv4+5n+%br<LyUr0+6Sf+CYcy__wCI=AA#T2y4
zD8-PdZa^!p9ag^+B_(f-T|k8vz#oZkoNWTPgezP#`Hk-r2)Y4d-jTYP?5qOWo5gA`
z*SP=y=_!LCYPmR01H=dqCA%42oEnFXNG9?zQPenL%R<4E9ZmY-15p%W)IBt&_=O6_
zG#nQ5X%Rn0Ybv}>QPgcb<|%k5g6pf6@MgGUKwg_8j-Vvan&`G7oDWIl<_AUr%E_Ut
zma_W!*=!uf-3pj45C%zgmEtD1c!z0G!R1-xY71%yxB7$*7Qnq<aL^%{MZcKss?*px
zKBW<?RUo7LOvT%{ex+*FDro9Fv!HS_NwZ##;CSv7fLAdR$cNN6HO(sulGtOJP$*tj
z%}~v`AO``928Ny?!K6mf%P(wc&u|(TBLgoKI!fmZYn<(XK$igX?mp`c=GcoZZYZb|
zgKiLroUl|&{R*rn*}=|c4?!Ch3ZZDaE-sj$=^g7ICB<ar<(yDG-|9bHo(hdbuN!54
zS!~%Er;TC8#{gAI$Y+cWuA^g#RbX=sbTG%YcE&2UJ;1)uYO14wN1m}T2*kAt>&C6-
zAQGud<|9@jS~b+%658B#3sgYmn>(0?;D#F_C<@cD5?ZY?I*V;kyahl_<ZY4lptf@a
z?5oAfr3*SG*5ai_int5M@dFAa(r)8<D~h@~V{9`82lX8&JQaGYxGNYR*oavj9l!x8
z!nZ1@qr@v=rhq!m<>HfgmJ9}}AfXkj)>2CG;$X3E2X_YMYq#o_1E{1ndW)Ar+a8GH
ziFhxu<_%=mP*4#?*zbvwNeddSGH1A)lx7yA52!nW)faRSN?T^n)V=F1hGvbJtV5RZ
ze^8JkJp3+Yve|4y!J;UAM*tPsp}CxZHgz1JgV-aLhj>A+Qx?H3P;KU8N&7|C?(>OD
zw5AtRc1G4^gmza8`%Wq~U>t-p3LL>COJeXSTKR_YYL-yKmOxFB8ZyG<)2LuB7R(6f
zAVx=jxHrvz#2{zH2)LtDY!<a6j}n)=iA{gNlwt2Nr~sfhG2N2jW|ciCQ(b?{ukp66
z70eazl3dybwJx^f1ve^Z2|}U{S%~n%ac(0Y6gkH*W(VOfjGkkvCenqi%|}ruZ9rY2
zUm7_Yn3OMxE*VGcP(bu=GP-pKSnY3c>czapPd35JDnW8#CV<RZSj0e)$Vxy)sO$d#
zTvcM(66@T_kjB&d)IY_*FSxKA3P^ov=TzVv^{(+AiACGbueoV+>RDB}WiW#7Sa^h3
zwuaL%pC(!E2M@S5+!mWHNag{?E-XW@VB|ZM&!`Hb<H&ZXth{A_RRF|YS|MzfU9ue|
zX|P!tVe2(5*gZ*ZQUlc_L{*1RBqKcnaPL<IbdL+Y!<Cp?GOJfxfEU1CdFJEBG42mU
zUv0L9=wOX>J%?8-im^>A#T>_A9=M;x-)DRyb>_RPV@>Q<&DYhze*lcPPS&DBIBhbR
zFK_|&B`7>ZBJ8B}Qt0;{r*p9VOi(`l__~Gm-81<ht1=k@$N8I5)k=9*b=1n*VkLa)
zJ%PvJ(F`aQ4O}qjw)$o>m*E$TviyOtW6|a#U7PnC^2OG1FDLJQQAyJ2-{JwV<~fCO
zn-;s4dXIanmd-#>MKr?|y5d+!iD7x-a(uc)q|q>*<(AkiLPQz^v5FuLCWkjQI~%Fd
zz%MZBG*>Z77t;r<9wv~sw8UiuTClk7xT=yP0v%K;w|o&-;V2uGv+b(42?m8_5(QBe
zv`SrVI+t5pM&ls*H8b^<4rt5f8UWl{kl|cPc>y>eVp6fBdy!QTvqW5ncW~2Z+Bt!J
zManCXHp5dvM*iJKZ4L0<66(g-YYe^#QEWha3txfCezd<SYbsyM&&G%}UU3QTngYP_
zh{+~_LH7@cDY7}OUSU>rD#D?~5w<P~RafYjDUORrNjB1{V!q(InLr_V=FyiWvNl~h
zaR3*>R;gzwt2|Z*78msnLG4(10sYG%tZ$*MLqG)pD?4xpPF5|{6069)a~4C@;>oG|
zh=vLj@}1{V(jm>B)hg*_jN5s6A&@om6%eFLj{g9H;@NiU2m(RvBdMywR7$pI<cVJ1
zJ!dd7tgvbnUB<KHBO^<)aFEol3}$g3gH(QT8jl`9kXF&H-aE^<ED@<mR54a7oiBJ}
zaHDAT{9ZoeVQwGZEK$|HVkK83_rLfLF8&ZjgZ_PfLe(h-JcM5N;ENbh6cDYKzlGn&
zI(kK9uFMb&#p_OG3NsTrjm-8@NX`dPI3STj2f?y7s>1aPP83vF)7uj0G&J)sJ-}kY
zhraF=7?ebCg=Cnm<<l~v42s-*s8qvkPxQ;$02X%y34a5?TNNntuZ1sxZy24KD8gEB
z!+>{-v_Tk_CrrOLS0>VTq9M>AS+U|7cq-WfA|88{R1<1l1>zYjfwvLgTn7yeM}Ss<
zOJVUWvAKHJEDe|p8+h76I@6`cAEp4j4wbz@?d6@bKcW=LO#c9L3p$I*9>NwQbUaK%
zxs+k(V<%%aR{EIL0uqNG<^ZGZj2>WEX01p2jq1*uUSO#8Ew!#;-p^($fa1(X{bk6E
z1{P|SvOZv54F3SsvK2kB!&R?rOZo`35y31ov59Zz1T$h^>Hx#oXB0|Hyf)Ly6Vk-j
z<RbRvJ9&m>3Z7uPg=O7;;v@A~e$Yz=_mC<3j!^W4w$nmv>IWP57>v4dmHQJ$Sd#XS
zLM%Z}>6L&UV++8<u-?`2EXO|OX252lH3Y3nh5L-7K!nalbb(PjV<~q=0B%afQ+E$5
z;7>w?VVl6*a{*ENi=x495U?sg5d)Yr8L3RPgBX+;WO5QH1-9Y<uW&gbWH4$WrR#~x
zv{><>XhT%AUPA`nsQQTuCJ#dp5QuO!9Nt6i299CD+v9doNz3Hz`8zu5Gactr+^868
zU#pQ(5?z6S7cnlg+;oxH-9*0>!pGP!Z;!6ypj%mt%HzC+Y?s_*HlF3L;Fab6WsXHE
zM<uw)D<xT|XzBq7B3(?9pAoiS3WJef)W|Cs1Yt~PmbY^{)j(=GPzI|E!<D&f2pfy<
zZ%j?lEh5ww##*pjQSL>gzSoQkG#}%%3W47Tq<d~0yDlcI2}YuJ)u=KYM0(Q)4&k*(
z*n@OzmsxLWRII^yO-mMP$=u&pQoWlSg}Ior=Q4p`ghxXu=+r$$b86hgYn;RmVKVC<
zp^s~B4Jw~V7VN#jwl?uJ@%(N`X9()C$cdH#<cb-#(GVqB;u$~SDBa_!iUhltf&TzK
z3F+_`6nTak{ZQ!b17u!Ae69hKQ==6b+zHGZmP)QTmt3bgL?yz^^oBO^2~-2-T?BMO
zo?7B?5OtI<3iT2Z6)N#6L_2R06{+TxEL^S$K}f}=P`$>6#`=z}VU?eAFvdsf9laXJ
zfC)#063Q*h`Na<mspUR43KH!`$>6RJa8#6l=Rfr@8mA1c(RmI7xb&jjPu!^p8gbf;
zGs);5S!Ow0)~}t-r~_rjZiX@Qq6P4-Vm*5o4lwT7zL!ufu2KOX^4b@|vouiRs~Y;b
zTN`u=h;A#q4Ab7DfyZ&e+`5F)lU0CaaS|#E$LxhEa>{P;FfO#Tseia302EUvpl(tG
z*bU8xH@Tm*5Y!D6Tps9!!3wJOiN*pIE!CDvy^`=x0vn1TvXMMy;WYK6oc<ugF+rz?
zaGj+IZzw;^3An5<9YQx$t~O>9WEs0lfTTBPxo%NZaWTECDh$hjU<OrbiScUd=_~4f
za!^W$&nVbk->Ffavg(NCiBxB9Wu_Pg5@RB}e77tWSJa0xBPOa^U<y@>%n`g4mg~f$
zCrniNf(_NqM5AFdsC64I*M1{I2qq0)Wq&RJ>QUCmC;=<9n-K<}^1`<aLZyUaP)Kky
z$f8`gDq&Iv5W`DvEVpaKR8GKf#T5>)19H$u#nw5BMtKIw$?*xsqr<{sj<plP#IQ;w
zGoKJN2<6nMg6_gCrp>uxM8U}~1f=F{6;2>gy`_djo0njFOIWznNhxo44;)m~uojLC
zdw^H~cZhvZ0Lf~ldZ5y341s%{Wm}3ln0-NN958r7v(h<XSC*k&4$F@QFw`=whO}|w
z1@fw;BZ*eL@<XWDurzTpk+DQ3vkB%Ifvg3WqM=K;056;3936(>!|*E5jIqBMtcK`n
zg0JE;9gcu%y<8R=TdQXL!g^6Cm3f%md#>+BC1B+i?BWzdnB+2^p5RNHL1(0L^qp%8
pkHpC&b#KGzaJ(u+YUdC+ld!eEBM2OpE~RG>b1?NE@A!>R|JlSwdwT!?

literal 0
HcmV?d00001

diff --git a/src/caffe/common.cpp b/src/caffe/common.cpp
index 1d48063a93c..f5a1a2f7812 100644
--- a/src/caffe/common.cpp
+++ b/src/caffe/common.cpp
@@ -145,9 +145,9 @@ Caffe::Caffe()
 void Caffe::init() {
   if (mode_ == GPU && curand_generator_ == nullptr) {
     curand_stream_ = CudaStream::create();
-    CURAND_CHECK_ARG(curandCreateGenerator(&curand_generator_, CURAND_RNG_PSEUDO_DEFAULT), device_);
-    CURAND_CHECK_ARG(curandSetPseudoRandomGeneratorSeed(curand_generator_, cluster_seedgen()), device_);
-    CURAND_CHECK_ARG(curandSetStream(curand_generator_, curand_stream_->get()), device_);
+    CURAND_CHECK(curandCreateGenerator(&curand_generator_, CURAND_RNG_PSEUDO_DEFAULT));
+    CURAND_CHECK(curandSetPseudoRandomGeneratorSeed(curand_generator_, cluster_seedgen()));
+    CURAND_CHECK(curandSetStream(curand_generator_, curand_stream_->get()));
   }
 }
 
diff --git a/src/caffe/layers/smooth_L1_loss_layer.cu b/src/caffe/layers/smooth_L1_loss_layer.cu
index 244766c03c1..678e9cc0b07 100644
--- a/src/caffe/layers/smooth_L1_loss_layer.cu
+++ b/src/caffe/layers/smooth_L1_loss_layer.cu
@@ -44,9 +44,11 @@ void SmoothL1LossLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
         diff_.gpu_data(),
         diff_.mutable_gpu_data());  // d := w * (b0 - b1)
   }
+  cudaStream_t stream = Caffe::thread_stream();
   // NOLINT_NEXT_LINE(whitespace/operators)
-  SmoothL1Forward<Dtype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS>>>(
+  SmoothL1Forward<Dtype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
       count, diff_.gpu_data(), errors_.mutable_gpu_data());
+  CUDA_CHECK(cudaStreamSynchronize(stream));
   CUDA_POST_KERNEL_CHECK;
 
   Dtype loss;
@@ -73,10 +75,12 @@ template <typename Ftype, typename Btype>
 void SmoothL1LossLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
     const vector<bool>& propagate_down, const vector<Blob*>& bottom) {
   int count = diff_.count();
+  cudaStream_t stream = Caffe::thread_stream();
   // NOLINT_NEXT_LINE(whitespace/operators)
-  SmoothL1Backward<Dtype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS>>>(
+  SmoothL1Backward<Dtype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
       count, diff_.gpu_data(), diff_.mutable_gpu_data());
   CUDA_POST_KERNEL_CHECK;
+  CUDA_CHECK(cudaStreamSynchronize(stream));
   for (int i = 0; i < 2; ++i) {
     if (propagate_down[i]) {
       const Dtype sign = (i == 0) ? 1 : -1;
diff --git a/src/caffe/net.cpp b/src/caffe/net.cpp
index 6b2822af015..1e27a3b5cfe 100644
--- a/src/caffe/net.cpp
+++ b/src/caffe/net.cpp
@@ -918,7 +918,7 @@ void Net::update_grad_scale() {
     if (global_grad_scale_adaptive_) {
       const float wgsq = wgrad_sq();
       if (wgsq > 0.F) {
-        global_grad_scale_coeff_ = std::sqrt(std::max(wgsq, 1.F / Caffe::solver_count())) * global_grad_scale_param_;
+        global_grad_scale_coeff_ = std::sqrt(wgsq) * global_grad_scale_param_;
         return;
       }
     }
diff --git a/src/caffe/util/bbox_util.cu b/src/caffe/util/bbox_util.cu
index 460a222e528..5a4a6eb5807 100644
--- a/src/caffe/util/bbox_util.cu
+++ b/src/caffe/util/bbox_util.cu
@@ -197,12 +197,13 @@ void DecodeBBoxesGPU(const int nthreads,
           const int num_priors, const bool share_location,
           const int num_loc_classes, const int background_label_id,
           const bool clip_bbox, Dtype* bbox_data) {
+  cudaStream_t stream = Caffe::thread_stream();
   // NOLINT_NEXT_LINE(whitespace/operators)
-  DecodeBBoxesKernel<Dtype><<<CAFFE_GET_BLOCKS(nthreads),
-      CAFFE_CUDA_NUM_THREADS>>>(nthreads, loc_data, prior_data, code_type,
-      variance_encoded_in_target, num_priors, share_location, num_loc_classes,
-      background_label_id, clip_bbox, bbox_data);
+  DecodeBBoxesKernel<Dtype><<<CAFFE_GET_BLOCKS(nthreads), CAFFE_CUDA_NUM_THREADS, 0, stream>>>
+          (nthreads, loc_data, prior_data, code_type, variance_encoded_in_target, num_priors,
+           share_location, num_loc_classes, background_label_id, clip_bbox, bbox_data);
   CUDA_POST_KERNEL_CHECK;
+  CUDA_CHECK(cudaStreamSynchronize(stream));
 }
 
 template void DecodeBBoxesGPU(const int nthreads,
@@ -242,11 +243,13 @@ template <typename Dtype>
 void PermuteDataGPU(const int nthreads,
           const Dtype* data, const int num_classes, const int num_data,
           const int num_dim, Dtype* new_data) {
+  cudaStream_t stream = Caffe::thread_stream();
   // NOLINT_NEXT_LINE(whitespace/operators)
   PermuteDataKernel<Dtype><<<CAFFE_GET_BLOCKS(nthreads),
-      CAFFE_CUDA_NUM_THREADS>>>(nthreads, data, num_classes, num_data,
+      CAFFE_CUDA_NUM_THREADS, 0, stream>>>(nthreads, data, num_classes, num_data,
       num_dim, new_data);
   CUDA_POST_KERNEL_CHECK;
+  CUDA_CHECK(cudaStreamSynchronize(stream));
 }
 
 template void PermuteDataGPU(const int nthreads,
@@ -327,32 +330,34 @@ void SoftMaxGPU(const Dtype* data, const int outer_num,
   TBlob<Dtype> scale(shape);
   Dtype* scale_data = scale.mutable_gpu_data();
   int count = outer_num * channels * inner_num;
+  cudaStream_t stream = Caffe::thread_stream();
   // We need to subtract the max to avoid numerical issues, compute the exp,
   // and then normalize.
   // compute max
   // NOLINT_NEXT_LINE(whitespace/operators)
   kernel_channel_max<Dtype><<<CAFFE_GET_BLOCKS(outer_num * inner_num),
-      CAFFE_CUDA_NUM_THREADS>>>(outer_num, channels, inner_num, data,
+      CAFFE_CUDA_NUM_THREADS, 0, stream>>>(outer_num, channels, inner_num, data,
       scale_data);
   // subtract
   // NOLINT_NEXT_LINE(whitespace/operators)
   kernel_channel_subtract<Dtype><<<CAFFE_GET_BLOCKS(count),
-      CAFFE_CUDA_NUM_THREADS>>>(count, outer_num, channels, inner_num,
+      CAFFE_CUDA_NUM_THREADS, 0, stream>>>(count, outer_num, channels, inner_num,
       data, scale_data, prob);
   // exponentiate
   // NOLINT_NEXT_LINE(whitespace/operators)
-  kernel_exp<Dtype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS>>>(
+  kernel_exp<Dtype><<<CAFFE_GET_BLOCKS(count), CAFFE_CUDA_NUM_THREADS, 0, stream>>>(
       count, prob, prob);
   // sum after exp
   // NOLINT_NEXT_LINE(whitespace/operators)
   kernel_channel_sum<Dtype><<<CAFFE_GET_BLOCKS(outer_num * inner_num),
-      CAFFE_CUDA_NUM_THREADS>>>(outer_num, channels, inner_num, prob,
+      CAFFE_CUDA_NUM_THREADS, 0, stream>>>(outer_num, channels, inner_num, prob,
       scale_data);
   // divide
   // NOLINT_NEXT_LINE(whitespace/operators)
   kernel_channel_div<Dtype><<<CAFFE_GET_BLOCKS(count),
-      CAFFE_CUDA_NUM_THREADS>>>(count, outer_num, channels, inner_num,
+      CAFFE_CUDA_NUM_THREADS, 0, stream>>>(count, outer_num, channels, inner_num,
       scale_data, prob);
+  CUDA_CHECK(cudaStreamSynchronize(stream));
 }
 
 template void SoftMaxGPU(const float* data, const int outer_num,
@@ -388,11 +393,13 @@ template <typename Dtype>
 void ComputeOverlappedGPU(const int nthreads,
           const Dtype* bbox_data, const int num_bboxes, const int num_classes,
           const Dtype overlap_threshold, bool* overlapped_data) {
+  cudaStream_t stream = Caffe::thread_stream();
   // NOLINT_NEXT_LINE(whitespace/operators)
   ComputeOverlappedKernel<Dtype><<<CAFFE_GET_BLOCKS(nthreads),
-      CAFFE_CUDA_NUM_THREADS>>>(nthreads, bbox_data, num_bboxes, num_classes,
+      CAFFE_CUDA_NUM_THREADS, 0, stream>>>(nthreads, bbox_data, num_bboxes, num_classes,
       overlap_threshold, overlapped_data);
   CUDA_POST_KERNEL_CHECK;
+  CUDA_CHECK(cudaStreamSynchronize(stream));
 }
 
 template void ComputeOverlappedGPU(const int nthreads,
@@ -428,11 +435,13 @@ template <typename Dtype>
 void ComputeOverlappedByIdxGPU(const int nthreads,
           const Dtype* bbox_data, const Dtype overlap_threshold,
           const int* idx, const int num_idx, bool* overlapped_data) {
+  cudaStream_t stream = Caffe::thread_stream();
   // NOLINT_NEXT_LINE(whitespace/operators)
   ComputeOverlappedByIdxKernel<Dtype><<<CAFFE_GET_BLOCKS(nthreads),
-      CAFFE_CUDA_NUM_THREADS>>>(nthreads, bbox_data, overlap_threshold,
+      CAFFE_CUDA_NUM_THREADS, 0, stream>>>(nthreads, bbox_data, overlap_threshold,
       idx, num_idx, overlapped_data);
   CUDA_POST_KERNEL_CHECK;
+  CUDA_CHECK(cudaStreamSynchronize(stream));
 }
 
 template void ComputeOverlappedByIdxGPU(const int nthreads,
@@ -537,11 +546,13 @@ void GetDetectionsGPU(const Dtype* bbox_data, const Dtype* conf_data,
   // Prepare detection_blob.
   detection_blob->Reshape(1, 1, num_det, 7);
   Dtype* detection_data = detection_blob->mutable_gpu_data();
+  cudaStream_t stream = Caffe::thread_stream();
   // NOLINT_NEXT_LINE(whitespace/operators)
   GetDetectionsKernel<Dtype><<<CAFFE_GET_BLOCKS(num_det),
-      CAFFE_CUDA_NUM_THREADS>>>(num_det, bbox_data, conf_data, image_id, label,
+      CAFFE_CUDA_NUM_THREADS, 0, stream>>>(num_det, bbox_data, conf_data, image_id, label,
       idx_blob.gpu_data(), clip_bbox, detection_data);
   CUDA_POST_KERNEL_CHECK;
+  CUDA_CHECK(cudaStreamSynchronize(stream));
 }
 
 template void GetDetectionsGPU(const float* bbox_data, const float* conf_data,
@@ -632,10 +643,12 @@ void ComputeConfLossGPU(const TBlob<Dtype>& conf_blob, const int num,
   TBlob<Dtype> conf_loss_blob(num, num_preds_per_class, 1, 1);
   Dtype* conf_loss_gpu_data = conf_loss_blob.mutable_gpu_data();
   const int num_threads = num * num_preds_per_class;
+  cudaStream_t stream = Caffe::thread_stream();
   // NOLINT_NEXT_LINE(whitespace/operators)
   ComputeConfLossKernel<Dtype><<<CAFFE_GET_BLOCKS(num_threads),
-    CAFFE_CUDA_NUM_THREADS>>>(num_threads, conf_gpu_data, num_preds_per_class,
+    CAFFE_CUDA_NUM_THREADS, 0, stream>>>(num_threads, conf_gpu_data, num_preds_per_class,
         num_classes, loss_type, match_blob.gpu_data(), conf_loss_gpu_data);
+  CUDA_CHECK(cudaStreamSynchronize(stream));
   // Save the loss.
   all_conf_loss->clear();
   const Dtype* loss_data = conf_loss_blob.cpu_data();

From a9bc987a61e0224a85f0280cab03b18d2471ca4e Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Sat, 17 Mar 2018 22:20:58 -0700
Subject: [PATCH 37/42] Tuning

---
 README.md                       | 2 +-
 examples/faceboxes/SSD.prototxt | 8 ++++----
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index 1032f956245..2eed99237da 100644
--- a/README.md
+++ b/README.md
@@ -47,6 +47,6 @@ Please cite Caffe in your publications if it helps your research:
 
 Libturbojpeg library is used since 0.16.5. It has a packaging bug. Please execute the following (required for Makefile, optional for CMake):
 ```
-sudo apt-get install libturbojpeg libturbojpeg-dev
+sudo apt-get install libturbojpeg
 sudo ln -s /usr/lib/x86_64-linux-gnu/libturbojpeg.so.0.1.0 /usr/lib/x86_64-linux-gnu/libturbojpeg.so
 ```
\ No newline at end of file
diff --git a/examples/faceboxes/SSD.prototxt b/examples/faceboxes/SSD.prototxt
index 9c61a39d3d7..5b73fb021d4 100644
--- a/examples/faceboxes/SSD.prototxt
+++ b/examples/faceboxes/SSD.prototxt
@@ -1,9 +1,9 @@
 name: "VGG_WIDER_FACE_SFD_deploy"
 
-default_forward_type:  FLOAT16
-default_backward_type: FLOAT16
-default_forward_math:  FLOAT16
-default_backward_math: FLOAT16
+#default_forward_type:  FLOAT16
+#default_backward_type: FLOAT16
+#default_forward_math:  FLOAT16
+#default_backward_math: FLOAT16
 
 #global_grad_scale: 10
 #global_grad_scale_adaptive: true

From a83e4e5681872f591d9011b5e132da85e443a9ee Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Mon, 19 Mar 2018 00:54:36 -0700
Subject: [PATCH 38/42] all in one pr118

---
 include/caffe/net.hpp            |   8 +-
 include/caffe/util/benchmark.hpp |  17 +--
 python/caffe/_caffe.cpp          |  32 ++++-
 python/caffe/test/test_net.py    | 231 ++++++++++++++++++++++++++++++-
 src/caffe/net.cpp                |  15 +-
 src/caffe/parallel.cpp           |   2 +
 src/caffe/test/test_net.cpp      | 127 +++++++++++++++++
 src/caffe/util/benchmark.cpp     |  16 ++-
 tools/caffe.cpp                  |  65 +++++++--
 9 files changed, 483 insertions(+), 30 deletions(-)

diff --git a/include/caffe/net.hpp b/include/caffe/net.hpp
index d609ed0bcfe..0ab97e303d7 100644
--- a/include/caffe/net.hpp
+++ b/include/caffe/net.hpp
@@ -34,13 +34,17 @@ class Net {
       size_t solver_rank = 0U,
       Flag* solver_init_flag = nullptr,
       const Net* root_net = nullptr,
-      bool inner_net = false);
+      bool inner_net = false,
+      int level = 0,
+      const vector<string>* stages = NULL);
   Net(const string& param_file,
       Phase phase,
       size_t solver_rank = 0U,
       Flag* solver_init_flag = nullptr,
       const Net* root_net = nullptr,
-      bool inner_net = false);
+      bool inner_net = false,
+      int level = 0,
+      const vector<string>* stages = NULL);
   ~Net();
 
   /// @brief Initialize a network with a NetParameter.
diff --git a/include/caffe/util/benchmark.hpp b/include/caffe/util/benchmark.hpp
index 842812ea04c..61c223fae64 100644
--- a/include/caffe/util/benchmark.hpp
+++ b/include/caffe/util/benchmark.hpp
@@ -17,9 +17,9 @@ class Timer {
   virtual float MicroSeconds();
   virtual float Seconds();
 
-  inline bool initted() { return initted_; }
-  inline bool running() { return running_; }
-  inline bool has_run_at_least_once() { return has_run_at_least_once_; }
+  bool initted() { return initted_; }
+  bool running() { return running_; }
+  bool has_run_at_least_once() { return has_run_at_least_once_; }
 
  protected:
   void Init();
@@ -33,16 +33,17 @@ class Timer {
   boost::posix_time::ptime stop_cpu_;
   float elapsed_milliseconds_;
   float elapsed_microseconds_;
+  int device_;
 };
 
 class CPUTimer : public Timer {
  public:
   explicit CPUTimer();
-  virtual ~CPUTimer() {}
-  virtual void Start();
-  virtual void Stop();
-  virtual float MilliSeconds();
-  virtual float MicroSeconds();
+  ~CPUTimer() override {}
+  void Start() override;
+  void Stop() override;
+  float MilliSeconds() override;
+  float MicroSeconds() override;
 };
 
 }  // namespace caffe
diff --git a/python/caffe/_caffe.cpp b/python/caffe/_caffe.cpp
index 27aeda3743f..d663e5b33b2 100644
--- a/python/caffe/_caffe.cpp
+++ b/python/caffe/_caffe.cpp
@@ -143,16 +143,37 @@ void CheckContiguousArray(PyArrayObject* arr, string name,
 }
 
 // Net constructor for passing phase as int
-shared_ptr<Net> Net_Init(string param_file, int phase) {
+shared_ptr<Net> Net_Init(string param_file, int phase,
+    const int level, const bp::object& stages,
+    const bp::object& weights) {
+  // Convert stages from list to vector
+  vector<string> stages_vector;
+  if (!stages.is_none()) {
+    for (int i = 0; i < bp::len(stages); i++) {
+      stages_vector.push_back(bp::extract<string>(stages[i]));
+    }
+  }
   PyGILRelease gil;
   CheckFile(param_file);
-  shared_ptr<Net> net(new Net(param_file, static_cast<Phase>(phase)));
+  shared_ptr<Net> net(new Net(param_file, static_cast<Phase>(phase),
+      0U, nullptr, nullptr, false, level, &stages_vector));
+  // Load weights
+  if (!weights.is_none()) {
+    std::string weights_file_str = bp::extract<std::string>(weights);
+    CheckFile(weights_file_str);
+    net->CopyTrainedLayersFrom(weights_file_str);
+  }
   return net;
 }
 
 // Net construct-and-load convenience constructor
 shared_ptr<Net> Net_Init_Load(string param_file, string pretrained_param_file, int phase) {
   PyGILRelease gil;
+  LOG(WARNING) << "DEPRECATION WARNING - deprecated use of Python interface";
+  LOG(WARNING) << "Use this instead (with the named \"weights\""
+    << " parameter):";
+  LOG(WARNING) << "Net('" << param_file << "', " << phase
+    << ", weights='" << pretrained_param_file << "')";
   CheckFile(param_file);
   CheckFile(pretrained_param_file);
   shared_ptr<Net> net(new Net(param_file, static_cast<Phase>(phase)));
@@ -415,7 +436,12 @@ BOOST_PYTHON_MODULE(_caffe) {
 
   bp::class_<Net, shared_ptr<Net>, boost::noncopyable >("Net",
     bp::no_init)
-    .def("__init__", bp::make_constructor(&Net_Init))
+    // Constructor
+    .def("__init__", bp::make_constructor(&Net_Init,
+          bp::default_call_policies(), (bp::arg("network_file"), "phase",
+            bp::arg("level")=0, bp::arg("stages")=bp::object(),
+            bp::arg("weights")=bp::object())))
+    // Legacy constructor
     .def("__init__", bp::make_constructor(&Net_Init_Load))
     .def("_forward", &Net_ForwardFromToNoGIL)
     .def("_backward", &Net_BackwardFromToNoGIL)
diff --git a/python/caffe/test/test_net.py b/python/caffe/test/test_net.py
index 3abc171c679..92b4d5ee7bb 100644
--- a/python/caffe/test/test_net.py
+++ b/python/caffe/test/test_net.py
@@ -83,10 +83,239 @@ def test_save_and_read(self):
         f.close()
         self.net.save(f.name)
         net_file = simple_net_file(self.num_output)
-        net2 = caffe.Net(net_file, f.name, caffe.TRAIN)
+        # Test legacy constructor
+        #   should print deprecation warning
+        caffe.Net(net_file, f.name, caffe.TRAIN)
+        # Test named constructor
+        net2 = caffe.Net(net_file, caffe.TRAIN, weights=f.name)
+#        net2 = caffe.Net(net_file, f.name, caffe.TRAIN)
         os.remove(net_file)
         os.remove(f.name)
         for name in self.net.params:
             for i in range(len(self.net.params[name])):
                 self.assertEqual(abs(self.net.params[name][i].data
                     - net2.params[name][i].data).sum(), 0)
+
+class TestLevels(unittest.TestCase):
+
+    TEST_NET = """
+layer {
+  name: "data"
+  type: "DummyData"
+  top: "data"
+  dummy_data_param { shape { dim: 1 dim: 1 dim: 10 dim: 10 } }
+}
+layer {
+  name: "NoLevel"
+  type: "InnerProduct"
+  bottom: "data"
+  top: "NoLevel"
+  inner_product_param { num_output: 1 }
+}
+layer {
+  name: "Level0Only"
+  type: "InnerProduct"
+  bottom: "data"
+  top: "Level0Only"
+  include { min_level: 0 max_level: 0 }
+  inner_product_param { num_output: 1 }
+}
+layer {
+  name: "Level1Only"
+  type: "InnerProduct"
+  bottom: "data"
+  top: "Level1Only"
+  include { min_level: 1 max_level: 1 }
+  inner_product_param { num_output: 1 }
+}
+layer {
+  name: "Level>=0"
+  type: "InnerProduct"
+  bottom: "data"
+  top: "Level>=0"
+  include { min_level: 0 }
+  inner_product_param { num_output: 1 }
+}
+layer {
+  name: "Level>=1"
+  type: "InnerProduct"
+  bottom: "data"
+  top: "Level>=1"
+  include { min_level: 1 }
+  inner_product_param { num_output: 1 }
+}
+"""
+
+    def setUp(self):
+        self.f = tempfile.NamedTemporaryFile(mode='w+', delete=False)
+        self.f.write(self.TEST_NET)
+        self.f.close()
+
+    def tearDown(self):
+        os.remove(self.f.name)
+
+    def check_net(self, net, blobs):
+        net_blobs = [b for b in net.blobs.keys() if 'data' not in b]
+        self.assertEqual(net_blobs, blobs)
+
+    def test_0(self):
+        net = caffe.Net(self.f.name, caffe.TEST)
+        self.check_net(net, ['NoLevel', 'Level0Only', 'Level>=0'])
+
+    def test_1(self):
+        net = caffe.Net(self.f.name, caffe.TEST, level=1)
+        self.check_net(net, ['NoLevel', 'Level1Only', 'Level>=0', 'Level>=1'])
+
+
+class TestStages(unittest.TestCase):
+
+    TEST_NET = """
+layer {
+  name: "data"
+  type: "DummyData"
+  top: "data"
+  dummy_data_param { shape { dim: 1 dim: 1 dim: 10 dim: 10 } }
+}
+layer {
+  name: "A"
+  type: "InnerProduct"
+  bottom: "data"
+  top: "A"
+  include { stage: "A" }
+  inner_product_param { num_output: 1 }
+}
+layer {
+  name: "B"
+  type: "InnerProduct"
+  bottom: "data"
+  top: "B"
+  include { stage: "B" }
+  inner_product_param { num_output: 1 }
+}
+layer {
+  name: "AorB"
+  type: "InnerProduct"
+  bottom: "data"
+  top: "AorB"
+  include { stage: "A" }
+  include { stage: "B" }
+  inner_product_param { num_output: 1 }
+}
+layer {
+  name: "AandB"
+  type: "InnerProduct"
+  bottom: "data"
+  top: "AandB"
+  include { stage: "A" stage: "B" }
+  inner_product_param { num_output: 1 }
+}
+"""
+
+    def setUp(self):
+        self.f = tempfile.NamedTemporaryFile(mode='w+', delete=False)
+        self.f.write(self.TEST_NET)
+        self.f.close()
+
+    def tearDown(self):
+        os.remove(self.f.name)
+
+    def check_net(self, net, blobs):
+        net_blobs = [b for b in net.blobs.keys() if 'data' not in b]
+        self.assertEqual(net_blobs, blobs)
+
+    def test_A(self):
+        net = caffe.Net(self.f.name, caffe.TEST, stages=['A'])
+        self.check_net(net, ['A', 'AorB'])
+
+    def test_B(self):
+        net = caffe.Net(self.f.name, caffe.TEST, stages=['B'])
+        self.check_net(net, ['B', 'AorB'])
+
+    def test_AandB(self):
+        net = caffe.Net(self.f.name, caffe.TEST, stages=['A', 'B'])
+        self.check_net(net, ['A', 'B', 'AorB', 'AandB'])
+
+
+class TestAllInOne(unittest.TestCase):
+
+    TEST_NET = """
+layer {
+  name: "train_data"
+  type: "DummyData"
+  top: "data"
+  top: "label"
+  dummy_data_param {
+    shape { dim: 1 dim: 1 dim: 10 dim: 10 }
+    shape { dim: 1 dim: 1 dim: 1 dim: 1 }
+  }
+  include { phase: TRAIN stage: "train" }
+}
+layer {
+  name: "val_data"
+  type: "DummyData"
+  top: "data"
+  top: "label"
+  dummy_data_param {
+    shape { dim: 1 dim: 1 dim: 10 dim: 10 }
+    shape { dim: 1 dim: 1 dim: 1 dim: 1 }
+  }
+  include { phase: TEST stage: "val" }
+}
+layer {
+  name: "deploy_data"
+  type: "Input"
+  top: "data"
+  input_param { shape { dim: 1 dim: 1 dim: 10 dim: 10 } }
+  include { phase: TEST stage: "deploy" }
+}
+layer {
+  name: "ip"
+  type: "InnerProduct"
+  bottom: "data"
+  top: "ip"
+  inner_product_param { num_output: 2 }
+}
+layer {
+  name: "loss"
+  type: "SoftmaxWithLoss"
+  bottom: "ip"
+  bottom: "label"
+  top: "loss"
+  include: { phase: TRAIN stage: "train" }
+  include: { phase: TEST stage: "val" }
+}
+layer {
+  name: "pred"
+  type: "Softmax"
+  bottom: "ip"
+  top: "pred"
+  include: { phase: TEST stage: "deploy" }
+}
+"""
+
+    def setUp(self):
+        self.f = tempfile.NamedTemporaryFile(mode='w+', delete=False)
+        self.f.write(self.TEST_NET)
+        self.f.close()
+
+    def tearDown(self):
+        os.remove(self.f.name)
+
+    def check_net(self, net, outputs):
+        self.assertEqual(list(net.blobs['data'].shape), [1,1,10,10])
+        self.assertEqual(net.outputs, outputs)
+
+    def test_train(self):
+        net = caffe.Net(self.f.name, caffe.TRAIN, stages=['train'])
+        self.check_net(net, ['loss'])
+
+    def test_val(self):
+        net = caffe.Net(self.f.name, caffe.TEST, stages=['val'])
+        self.check_net(net, ['loss'])
+
+    def test_deploy(self):
+        net = caffe.Net(self.f.name, caffe.TEST, stages=['deploy'])
+        self.check_net(net, ['pred'])
+
+# if __name__ == '__main__':
+#     unittest.main()
\ No newline at end of file
diff --git a/src/caffe/net.cpp b/src/caffe/net.cpp
index 1e27a3b5cfe..8c209cede89 100644
--- a/src/caffe/net.cpp
+++ b/src/caffe/net.cpp
@@ -25,7 +25,9 @@ Net::Net(const NetParameter& param,
     size_t solver_rank,
     Flag* solver_init_flag,
     const Net* root_net,
-    bool inner_net)
+    bool inner_net,
+    int level,
+    const vector<string>* stages)
     : root_net_(root_net),
       solver_(nullptr),
       solver_rank_(solver_rank),
@@ -39,7 +41,9 @@ Net::Net(const string& param_file,
     size_t solver_rank,
     Flag* solver_init_flag,
     const Net* root_net,
-    bool inner_net)
+    bool inner_net,
+    int level,
+    const vector<string>* stages)
     : root_net_(root_net),
       solver_(nullptr),
       solver_rank_(solver_rank),
@@ -47,7 +51,14 @@ Net::Net(const string& param_file,
       inner_net_(inner_net) {
   NetParameter param;
   ReadNetParamsFromTextFileOrDie(param_file, &param);
+  // Set phase, stages and level
   param.mutable_state()->set_phase(phase);
+  if (stages != NULL) {
+    for (int i = 0; i < stages->size(); ++i) {
+      param.mutable_state()->add_stage(stages->at(i));
+    }
+  }
+  param.mutable_state()->set_level(level);
   Init(param);
 }
 
diff --git a/src/caffe/parallel.cpp b/src/caffe/parallel.cpp
index fbd56364ab2..8ecc8087adf 100644
--- a/src/caffe/parallel.cpp
+++ b/src/caffe/parallel.cpp
@@ -96,6 +96,7 @@ P2PSync::P2PSync(P2PManager* mgr, shared_ptr<Solver> root_solver,
 #ifndef USE_NCCL
   LOG(FATAL) << "USE_NCCL := 1 must be specified for multi-GPU";
 #endif
+  CHECK_EQ(target_device_, solver_param_.device_id());
   LOG(INFO) << "[" << rank << " - " << this->target_device_ << "] P2pSync adding callback";
 }
 
@@ -117,6 +118,7 @@ void P2PSync::InternalThreadEntry() {
   solver_->set_callback(this);
 
   CHECK_EQ(nranks_, Caffe::solver_count());
+  CHECK_EQ(target_device_, Caffe::current_device());
 
 #ifdef USE_NCCL
   ncclUniqueId* nccl_id = reinterpret_cast<ncclUniqueId*>(this->aux_);
diff --git a/src/caffe/test/test_net.cpp b/src/caffe/test/test_net.cpp
index 21f9461ef3d..df9e1f9ed5c 100644
--- a/src/caffe/test/test_net.cpp
+++ b/src/caffe/test/test_net.cpp
@@ -48,6 +48,16 @@ class NetTest : public MultiDeviceTest<TypeParam> {
     }
   }
 
+  virtual void InitNetFromProtoFileWithState(const string& proto,
+      Phase phase = caffe::TRAIN, const int level = 0,
+      const vector<string>* stages = NULL) {
+    NetParameter param;
+    CHECK(google::protobuf::TextFormat::ParseFromString(proto, &param));
+    string param_file = MakeTempFilename();
+    WriteProtoToTextFile(param, param_file);
+    net_.reset(new Net(param_file, phase, 0U, nullptr, nullptr, false, level, stages));
+  }
+
   virtual void CopyNetBlobs(const bool copy_diff,
       vector<shared_ptr<TBlob<Dtype> > >* blobs_copy) {
     CHECK(net_);
@@ -876,10 +886,67 @@ class NetTest : public MultiDeviceTest<TypeParam> {
     InitNetFromProtoString(proto);
   }
 
+  virtual void InitAllInOneNet(Phase phase = caffe::TRAIN,
+      const int level = 0, const vector<string>* stages = NULL) {
+    string proto =
+        "name: 'All-in-one Network'"
+            "layer { "
+            "  name: 'train-data' "
+            "  type: 'DummyData' "
+            "  top: 'data' "
+            "  top: 'label' "
+            "  dummy_data_param { "
+            "    shape { dim: 1 dim: 10 } "
+            "    shape { dim: 1 dim: 1 } "
+            "  } "
+            "  include { phase: TRAIN stage: 'train' } "
+            "} "
+            "layer { "
+            "  name: 'val-data' "
+            "  type: 'DummyData' "
+            "  top: 'data' "
+            "  top: 'label' "
+            "  dummy_data_param { "
+            "    shape { dim: 1 dim: 10 } "
+            "    shape { dim: 1 dim: 1 } "
+            "  } "
+            "  include { phase: TEST stage: 'val' } "
+            "} "
+            "layer { "
+            "  name: 'deploy-data' "
+            "  type: 'Input' "
+            "  top: 'data' "
+            "  input_param { "
+            "    shape { dim: 1 dim: 10 } "
+            "  } "
+            "  include { phase: TEST stage: 'deploy' } "
+            "} "
+            "layer { "
+            "  name: 'ip' "
+            "  type: 'InnerProduct' "
+            "  bottom: 'data' "
+            "  top: 'ip' "
+            "  inner_product_param { "
+            "    num_output: 2 "
+            "  } "
+            "} "
+            "layer { "
+            "  name: 'loss' "
+            "  type: 'SoftmaxWithLoss' "
+            "  bottom: 'ip' "
+            "  bottom: 'label' "
+            "  top: 'loss' "
+            "  include { phase: TRAIN stage: 'train' } "
+            "  include { phase: TEST stage: 'val' } "
+            "} ";
+    InitNetFromProtoFileWithState(proto, phase, level, stages);
+  }
+
   int seed_;
   shared_ptr<Net> net_;
 };
 
+
 TYPED_TEST_CASE(NetTest, TestDtypesAndDevices);
 
 TYPED_TEST(NetTest, TestHasBlob) {
@@ -2624,4 +2691,64 @@ TYPED_TEST(NetTest, TestForcePropagateDown) {
   }
 }
 
+TYPED_TEST(NetTest, TestAllInOneNetTrain) {
+  vector<string> stages;
+  stages.push_back("train");
+  this->InitAllInOneNet(caffe::TRAIN, 0, &stages);
+  bool found_data = false;
+  bool found_loss = false;
+  for (int i = 0; i < this->net_->layers().size(); ++i) {
+    const string& layer_name = this->net_->layer_names()[i];
+    if (layer_name == "train-data") {
+      found_data = true;
+    } else if (layer_name == "loss") {
+      found_loss = true;
+    } else {
+      ASSERT_NE(layer_name, "val-data");
+      ASSERT_NE(layer_name, "deploy-data");
+    }
+  }
+  ASSERT_TRUE(found_data);
+  ASSERT_TRUE(found_loss);
+}
+
+TYPED_TEST(NetTest, TestAllInOneNetVal) {
+  vector<string> stages;
+  stages.push_back("val");
+  this->InitAllInOneNet(caffe::TEST, 0, &stages);
+  bool found_data = false;
+  bool found_loss = false;
+  for (int i = 0; i < this->net_->layers().size(); ++i) {
+    const string& layer_name = this->net_->layer_names()[i];
+    if (layer_name == "val-data") {
+      found_data = true;
+    } else if (layer_name == "loss") {
+      found_loss = true;
+    } else {
+      ASSERT_NE(layer_name, "train-data");
+      ASSERT_NE(layer_name, "deploy-data");
+    }
+  }
+  ASSERT_TRUE(found_data);
+  ASSERT_TRUE(found_loss);
+}
+
+TYPED_TEST(NetTest, TestAllInOneNetDeploy) {
+  vector<string> stages;
+  stages.push_back("deploy");
+  this->InitAllInOneNet(caffe::TEST, 0, &stages);
+  bool found_data = false;
+  for (int i = 0; i < this->net_->layers().size(); ++i) {
+    const string& layer_name = this->net_->layer_names()[i];
+    if (layer_name == "deploy-data") {
+      found_data = true;
+    } else {
+      ASSERT_NE(layer_name, "train-data");
+      ASSERT_NE(layer_name, "val-data");
+      ASSERT_NE(layer_name, "loss");
+    }
+  }
+  ASSERT_TRUE(found_data);
+}
+
 }  // namespace caffe
diff --git a/src/caffe/util/benchmark.cpp b/src/caffe/util/benchmark.cpp
index 04a4d106ce3..daa81345d94 100644
--- a/src/caffe/util/benchmark.cpp
+++ b/src/caffe/util/benchmark.cpp
@@ -8,7 +8,10 @@ namespace caffe {
 Timer::Timer()
     : initted_(false),
       running_(false),
-      has_run_at_least_once_(false) {
+      has_run_at_least_once_(false),
+      start_gpu_(nullptr),
+      stop_gpu_(nullptr),
+      device_(-1) {
   Init();
 }
 
@@ -31,6 +34,7 @@ Timer::~Timer() {
 void Timer::Start() {
   if (!running()) {
     if (Caffe::mode() == Caffe::GPU) {
+      CHECK_EQ(device_, Caffe::current_device());
       CUDA_CHECK(cudaEventRecord(start_gpu_, 0));
     } else {
       start_cpu_ = boost::posix_time::microsec_clock::local_time();
@@ -43,6 +47,7 @@ void Timer::Start() {
 void Timer::Stop() {
   if (running()) {
     if (Caffe::mode() == Caffe::GPU) {
+      CHECK_EQ(device_, Caffe::current_device());
       CUDA_CHECK(cudaEventRecord(stop_gpu_, 0));
       CUDA_CHECK(cudaEventSynchronize(stop_gpu_));
     } else {
@@ -52,7 +57,6 @@ void Timer::Stop() {
   }
 }
 
-
 float Timer::MicroSeconds() {
   if (!has_run_at_least_once()) {
     LOG(WARNING) << "Timer has never been run before reading time.";
@@ -62,6 +66,7 @@ float Timer::MicroSeconds() {
     Stop();
   }
   if (Caffe::mode() == Caffe::GPU) {
+    CHECK_EQ(device_, Caffe::current_device());
     CUDA_CHECK(cudaEventElapsedTime(&elapsed_milliseconds_, start_gpu_, stop_gpu_));
     // Cuda only measure milliseconds
     elapsed_microseconds_ = elapsed_milliseconds_ * 1000;
@@ -80,6 +85,7 @@ float Timer::MilliSeconds() {
     Stop();
   }
   if (Caffe::mode() == Caffe::GPU) {
+    CHECK_EQ(device_, Caffe::current_device());
     CUDA_CHECK(cudaEventElapsedTime(&elapsed_milliseconds_, start_gpu_, stop_gpu_));
   } else {
     elapsed_milliseconds_ = (stop_cpu_ - start_cpu_).total_milliseconds();
@@ -94,6 +100,12 @@ float Timer::Seconds() {
 void Timer::Init() {
   if (!initted()) {
     if (Caffe::mode() == Caffe::GPU) {
+      int current_device = Caffe::current_device();
+      if (device_ < 0) {
+        device_ = current_device;
+      } else {
+        CHECK_EQ(device_, current_device);
+      }
       CUDA_CHECK(cudaEventCreate(&start_gpu_));
       CUDA_CHECK(cudaEventCreate(&stop_gpu_));
     } else {
diff --git a/tools/caffe.cpp b/tools/caffe.cpp
index 48fb6269b5c..9ed96043453 100644
--- a/tools/caffe.cpp
+++ b/tools/caffe.cpp
@@ -34,6 +34,13 @@ DEFINE_string(solver, "",
     "The solver definition protocol buffer text file.");
 DEFINE_string(model, "",
     "The model definition protocol buffer text file.");
+DEFINE_string(phase, "",
+    "Optional; network phase (TRAIN or TEST). Only used for 'time'.");
+DEFINE_int32(level, 0,
+    "Optional; network level.");
+DEFINE_string(stage, "",
+    "Optional; network stages (not to be confused with phase), "
+    "separated by ','.");
 DEFINE_string(snapshot, "",
     "Optional; the snapshot solver state to resume training.");
 DEFINE_string(weights, "",
@@ -100,6 +107,25 @@ static void get_gpus(vector<int>* gpus) {
   }
 }
 
+// Parse phase from flags
+caffe::Phase get_phase_from_flags(caffe::Phase default_value) {
+  if (FLAGS_phase == "")
+    return default_value;
+  if (FLAGS_phase == "TRAIN")
+    return caffe::TRAIN;
+  if (FLAGS_phase == "TEST")
+    return caffe::TEST;
+  LOG(FATAL) << "phase must be \"TRAIN\" or \"TEST\"";
+  return caffe::TRAIN;  // Avoid warning
+}
+
+// Parse stages from flags
+vector<string> get_stages_from_flags() {
+  vector<string> stages;
+  boost::split(stages, FLAGS_stage, boost::is_any_of(","));
+  return stages;
+}
+
 // caffe commands to call by
 //     caffe <command> <args>
 //
@@ -156,25 +182,31 @@ int train() {
   CHECK(!FLAGS_snapshot.size() || !FLAGS_weights.size())
       << "Give a snapshot to resume training or weights to finetune "
       "but not both.";
+  vector<string> stages = get_stages_from_flags();
 
   caffe::SolverParameter solver_param = caffe::ReadSolverParamsFromTextFileOrDie(FLAGS_solver);
 
+  solver_param.mutable_train_state()->set_level(FLAGS_level);
+  for (int i = 0; i < stages.size(); i++) {
+    solver_param.mutable_train_state()->add_stage(stages[i]);
+  }
+
   // If the gpus flag is not provided, allow the mode and device to be set
   // in the solver prototxt.
   if (FLAGS_gpu.size() == 0
+      && solver_param.has_solver_mode()
       && solver_param.solver_mode() == caffe::SolverParameter_SolverMode_GPU) {
       if (solver_param.has_device_id()) {
-          FLAGS_gpu = "" +
-              boost::lexical_cast<string>(solver_param.device_id());
+          FLAGS_gpu = std::to_string(solver_param.device_id());
       } else {  // Set default GPU if unspecified
-          FLAGS_gpu = "" + boost::lexical_cast<string>(0);
+          FLAGS_gpu = std::to_string(0);
       }
   }
 
   // Read flags for list of GPUs
   vector<int> gpus;
   get_gpus(&gpus);
-  caffe::GPUMemory::Scope gpu_memory_scope(gpus);
+
   // Set mode and device id[s]
   if (gpus.size() == 0) {
     LOG(INFO) << "Use CPU.";
@@ -185,19 +217,17 @@ int train() {
       s << (i ? ", " : "") << gpus[i];
     }
 
+    caffe::GPUMemory::Scope gpu_memory_scope(gpus);
+
     LOG(INFO) << "Using GPUs " << s.str();
-    int dev_id = 0;
     cudaDeviceProp device_prop;
     for (int i = 0; i < gpus.size(); ++i) {
       cudaGetDeviceProperties(&device_prop, gpus[i]);
       LOG(INFO) << "GPU " << gpus[i] << ": " << device_prop.name;
-      if (solver_param.has_device_id() && gpus[i] == solver_param.device_id()) {
-        dev_id = i;
-      }
     }
-    CUDA_CHECK(cudaSetDevice(gpus[dev_id]));
-    Caffe::SetDevice(gpus[dev_id]);
-    solver_param.set_device_id(gpus[dev_id]);
+    CUDA_CHECK(cudaSetDevice(gpus[0]));
+    Caffe::SetDevice(gpus[0]);
+    solver_param.set_device_id(gpus[0]);
     Caffe::set_mode(Caffe::GPU);
     Caffe::set_gpus(gpus);
     Caffe::set_solver_count(gpus.size());
@@ -244,6 +274,7 @@ RegisterBrewFunction(train);
 int test() {
   CHECK_GT(FLAGS_model.size(), 0) << "Need a model definition to score.";
   CHECK_GT(FLAGS_weights.size(), 0) << "Need model weights to score.";
+  vector<string> stages = get_stages_from_flags();
 
   // Read flags for list of GPUs
   vector<int> gpus;
@@ -271,7 +302,7 @@ int test() {
   }
 
   // Instantiate the caffe net.
-  Net caffe_net(FLAGS_model, caffe::TEST, 0U);
+  Net caffe_net(FLAGS_model, caffe::TEST, 0U, nullptr, nullptr, false, FLAGS_level, &stages);
   caffe_net.CopyTrainedLayersFrom(FLAGS_weights);
   LOG(INFO) << "Running for " << FLAGS_iterations << " iterations.";
 
@@ -496,6 +527,9 @@ RegisterBrewFunction(test_detection);
 // Time: benchmark the execution time of a model.
 int time() {
   CHECK_GT(FLAGS_model.size(), 0) << "Need a model definition to time.";
+  caffe::Phase phase = get_phase_from_flags(caffe::TRAIN);
+  vector<string> stages = get_stages_from_flags();
+
   vector<int> gpus;
   // Read flags for list of GPUs
   get_gpus(&gpus);
@@ -530,6 +564,13 @@ int time() {
   solver_param.set_random_seed(1371LL);
   solver_param.set_test_interval(FLAGS_iterations + 1);
   solver_param.set_display(0);
+
+  solver_param.mutable_train_state()->set_level(FLAGS_level);
+  for (int i = 0; i < stages.size(); i++) {
+    solver_param.mutable_train_state()->add_stage(stages[i]);
+  }
+  solver_param.mutable_net_param()->mutable_state()->set_phase(phase);
+
   shared_ptr<Solver> solver(caffe::SolverRegistry::CreateSolver(solver_param));
   shared_ptr<Net> caffe_net = solver->net();
 

From 3c2f87bf84b144ee75e4f03f96c1068c805b355a Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Mon, 19 Mar 2018 21:08:56 -0700
Subject: [PATCH 39/42] Eltwise optimized

---
 src/caffe/layers/eltwise_layer.cpp | 15 +++++++++++----
 src/caffe/layers/eltwise_layer.cu  |  9 ++-------
 2 files changed, 13 insertions(+), 11 deletions(-)

diff --git a/src/caffe/layers/eltwise_layer.cpp b/src/caffe/layers/eltwise_layer.cpp
index ba04cae21fd..b549aa462d4 100644
--- a/src/caffe/layers/eltwise_layer.cpp
+++ b/src/caffe/layers/eltwise_layer.cpp
@@ -45,6 +45,7 @@ void EltwiseLayer<Ftype, Btype>::Reshape(const vector<Blob*>& bottom,
   }
   if (op_ == EltwiseParameter_EltwiseOp_SUM && no_coeffs_) {
     bottom[0]->ShareDiff(*top[0]);
+    top[0]->ShareData(*bottom[0]);
   }
 }
 
@@ -64,10 +65,16 @@ void EltwiseLayer<Ftype, Btype>::Forward_cpu(
     }
     break;
   case EltwiseParameter_EltwiseOp_SUM:
-    caffe_set(count, Ftype(0), top_data);
-    // TODO(shelhamer) does BLAS optimize to sum for coeff = 1?
-    for (int i = 0; i < bottom.size(); ++i) {
-      caffe_axpy(count, Ftype(coeffs_[i]), bottom[i]->cpu_data<Ftype>(), top_data);
+    if (no_coeffs_) {
+      for (int i = 1; i < bottom.size(); ++i) {
+        caffe_axpy(count, Ftype(1), bottom[i]->cpu_data<Ftype>(), top_data);
+      }
+    } else {
+      caffe_set(count, Ftype(0), top_data);
+      // TODO(shelhamer) does BLAS optimize to sum for coeff = 1?
+      for (int i = 0; i < bottom.size(); ++i) {
+        caffe_axpy(count, Ftype(coeffs_[i]), bottom[i]->cpu_data<Ftype>(), top_data);
+      }
     }
     break;
   case EltwiseParameter_EltwiseOp_MAX:
diff --git a/src/caffe/layers/eltwise_layer.cu b/src/caffe/layers/eltwise_layer.cu
index acc22e24be8..2479e9a6b04 100644
--- a/src/caffe/layers/eltwise_layer.cu
+++ b/src/caffe/layers/eltwise_layer.cu
@@ -47,13 +47,8 @@ void EltwiseLayer<Ftype, Btype>::Forward_gpu(const vector<Blob*>& bottom,
     break;
   case EltwiseParameter_EltwiseOp_SUM:
     if (no_coeffs_) {
-      if (bottom.size() >= 2) {
-        caffe_gpu_add(count, bottom[0]->gpu_data<Ftype>(), bottom[1]->gpu_data<Ftype>(), top_data);
-        for (int i = 2; i < bottom.size(); ++i) {
-          caffe_gpu_incr(count, bottom[i]->gpu_data<Ftype>(), top_data);
-        }
-      } else if (bottom.size() == 1) {
-        caffe_copy(count, bottom[0]->gpu_data<Ftype>(), top_data);
+      for (int i = 1; i < bottom.size(); ++i) {
+        caffe_gpu_incr(count, bottom[i]->gpu_data<Ftype>(), top_data);
       }
     } else {
       caffe_gpu_set(count, Ftype(0.), top_data);

From 5ebd8f3e1bb81b2b35ae32da7ac26ae411ae475a Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Tue, 20 Mar 2018 15:55:24 -0700
Subject: [PATCH 40/42] Eltwise optimized, 2

---
 .../caffe/test/test_gradient_check_util.hpp   | 26 ++++++++++++++++++-
 src/caffe/layers/eltwise_layer.cpp            | 10 +++----
 src/caffe/layers/eltwise_layer.cu             |  6 +----
 src/caffe/test/test_eltwise_layer.cpp         | 18 ++++++++-----
 4 files changed, 42 insertions(+), 18 deletions(-)

diff --git a/include/caffe/test/test_gradient_check_util.hpp b/include/caffe/test/test_gradient_check_util.hpp
index 004decf6896..a668d639d01 100644
--- a/include/caffe/test/test_gradient_check_util.hpp
+++ b/include/caffe/test/test_gradient_check_util.hpp
@@ -189,7 +189,31 @@ void GradientChecker<Dtype>::CheckGradientExhaustive(LayerBase* layer, const vec
 template<typename Dtype>
 void GradientChecker<Dtype>::CheckGradientEltwise(LayerBase* layer, const vector<Blob*>& bottom,
     const vector<Blob*>& top) {
-  layer->SetUp(bottom, top);
+  vector<Blob*> bottom_copy(bottom.size()), top_copy(top.size());
+  vector<shared_ptr<Blob>> bottom_scopy(bottom.size()), top_scopy(top.size());
+  for (int i = 0; i < bottom.size(); ++i) {
+    if (bottom[i]->count() > 0) {
+      bottom_scopy[i] = Blob::create<Dtype>(bottom[i]->shape());
+      bottom_scopy[i]->CopyDataFrom(*bottom[i]);
+      bottom_scopy[i]->CopyDiffFrom(*bottom[i]);
+    } else {
+      bottom_scopy[i] = Blob::create<Dtype>();
+    }
+    bottom_copy[i] = bottom_scopy[i].get();
+  }
+  for (int i = 0; i < top.size(); ++i) {
+    if (top[i]->count() > 0) {
+      top_scopy[i] = Blob::create<Dtype>(top[i]->shape());
+      top_scopy[i]->CopyDataFrom(*top[i]);
+      top_scopy[i]->CopyDiffFrom(*top[i]);
+    } else {
+      top_scopy[i] = Blob::create<Dtype>(bottom[0]->shape());
+      top_scopy[i]->CopyDataFrom(*bottom[0]);
+      top_scopy[i]->CopyDiffFrom(*bottom[0]);
+    }
+    top_copy[i] = top_scopy[i].get();
+  }
+  layer->SetUp(bottom_copy, top_copy);
   CHECK_GT(top.size(), 0) << "Eltwise mode requires at least one top blob.";
   const int check_bottom = -1;
   const bool element_wise = true;
diff --git a/src/caffe/layers/eltwise_layer.cpp b/src/caffe/layers/eltwise_layer.cpp
index b549aa462d4..a425aa51f27 100644
--- a/src/caffe/layers/eltwise_layer.cpp
+++ b/src/caffe/layers/eltwise_layer.cpp
@@ -44,7 +44,9 @@ void EltwiseLayer<Ftype, Btype>::Reshape(const vector<Blob*>& bottom,
     max_idx_.Reshape(bottom[0]->shape());
   }
   if (op_ == EltwiseParameter_EltwiseOp_SUM && no_coeffs_) {
-    bottom[0]->ShareDiff(*top[0]);
+    for (int i = 0; i < bottom.size(); ++i) {
+      bottom[i]->ShareDiff(*top[0]);
+    }
     top[0]->ShareData(*bottom[0]);
   }
 }
@@ -141,11 +143,7 @@ void EltwiseLayer<Ftype, Btype>::Backward_cpu(const vector<Blob*>& top,
         caffe_mul(count, bottom_diff, top_diff, bottom_diff);
         break;
       case EltwiseParameter_EltwiseOp_SUM:
-        if (no_coeffs_) {
-          if (i > 0) {
-            caffe_copy(count, top_diff, bottom_diff);
-          }
-        } else {
+        if (!no_coeffs_) {
           caffe_cpu_scale(count, Btype(coeffs_[i]), top_diff, bottom_diff);
         }
         break;
diff --git a/src/caffe/layers/eltwise_layer.cu b/src/caffe/layers/eltwise_layer.cu
index 2479e9a6b04..fb469ac7e70 100644
--- a/src/caffe/layers/eltwise_layer.cu
+++ b/src/caffe/layers/eltwise_layer.cu
@@ -122,11 +122,7 @@ void EltwiseLayer<Ftype, Btype>::Backward_gpu(const vector<Blob*>& top,
         }
         break;
       case EltwiseParameter_EltwiseOp_SUM:
-        if (no_coeffs_) {
-          if (i > 0) {
-            caffe_copy(count, top_diff, bottom[i]->mutable_gpu_diff<Btype>());
-          }
-        } else {
+        if (!no_coeffs_) {
           caffe_gpu_scale(count, Btype(coeffs_[i]), top_diff, bottom[i]->mutable_gpu_diff<Btype>());
         }
         break;
diff --git a/src/caffe/test/test_eltwise_layer.cpp b/src/caffe/test/test_eltwise_layer.cpp
index c6b187a420d..00fff4abe4b 100644
--- a/src/caffe/test/test_eltwise_layer.cpp
+++ b/src/caffe/test/test_eltwise_layer.cpp
@@ -94,6 +94,17 @@ TYPED_TEST(EltwiseLayerTest, TestProd) {
 
 TYPED_TEST(EltwiseLayerTest, TestSum) {
   typedef typename TypeParam::Dtype Dtype;
+  const int count = this->blob_top_->count();
+  const Dtype* in_data_a = this->blob_bottom_a_->cpu_data();
+  const Dtype* in_data_b = this->blob_bottom_b_->cpu_data();
+  const Dtype* in_data_c = this->blob_bottom_c_->cpu_data();
+  vector<int> shape(count);
+  TBlob<Dtype> val(shape);
+  Dtype* pval = val.mutable_cpu_data();
+  for (int i = 0; i < count; ++i) {
+    pval[i] = in_data_a[i] + in_data_b[i] + in_data_c[i];
+  }
+
   LayerParameter layer_param;
   layer_param.set_forward_type(tp<Dtype>());
   layer_param.set_backward_type(tp<Dtype>());
@@ -106,13 +117,8 @@ TYPED_TEST(EltwiseLayerTest, TestSum) {
   layer->SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
   layer->Forward(this->blob_bottom_vec_, this->blob_top_vec_);
   const Dtype* data = this->blob_top_->cpu_data();
-  const int count = this->blob_top_->count();
-  const Dtype* in_data_a = this->blob_bottom_a_->cpu_data();
-  const Dtype* in_data_b = this->blob_bottom_b_->cpu_data();
-  const Dtype* in_data_c = this->blob_bottom_c_->cpu_data();
   for (int i = 0; i < count; ++i) {
-    EXPECT_NEAR(data[i], in_data_a[i] + in_data_b[i] + in_data_c[i],
-        tol<Dtype>(1e-4, 2e-3));
+    EXPECT_NEAR(data[i], pval[i], tol<Dtype>(1e-4, 2e-3));
   }
 }
 

From 7bb496bdf4d584781de2ea8b7aba3077c6caf560 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Tue, 20 Mar 2018 19:31:12 -0700
Subject: [PATCH 41/42] Eltwise optimized, 2

---
 include/caffe/net.hpp              | 4 ++++
 src/caffe/layers/eltwise_layer.cpp | 6 ++++--
 2 files changed, 8 insertions(+), 2 deletions(-)

diff --git a/include/caffe/net.hpp b/include/caffe/net.hpp
index 0ab97e303d7..ab02a2652e2 100644
--- a/include/caffe/net.hpp
+++ b/include/caffe/net.hpp
@@ -288,6 +288,10 @@ class Net {
     return has_global_grad_scale_param_ && global_grad_scale_param_ > 0.F;
   }
 
+  bool inner_net() const {
+    return inner_net_;
+  }
+
   void update_grad_scale();
 
   std::string print_current_device() const {
diff --git a/src/caffe/layers/eltwise_layer.cpp b/src/caffe/layers/eltwise_layer.cpp
index a425aa51f27..1b37d80c177 100644
--- a/src/caffe/layers/eltwise_layer.cpp
+++ b/src/caffe/layers/eltwise_layer.cpp
@@ -2,7 +2,7 @@
 #include <vector>
 
 #include "caffe/layers/eltwise_layer.hpp"
-#include "caffe/util/math_functions.hpp"
+#include "caffe/net.hpp"
 
 namespace caffe {
 
@@ -30,7 +30,9 @@ void EltwiseLayer<Ftype, Btype>::LayerSetUp(const vector<Blob*>& bottom,
 template <typename Ftype, typename Btype>
 void EltwiseLayer<Ftype, Btype>::Reshape(const vector<Blob*>& bottom,
       const vector<Blob*>& top) {
-  no_coeffs_ = true;
+  const Net* pnet = this->parent_net();
+  // Inner nets are usually cyclic
+  no_coeffs_ = pnet != nullptr && !pnet->inner_net();
   for (int i = 0; i < bottom.size(); ++i) {
     no_coeffs_ = no_coeffs_ && coeffs_[i] == 1.F;
   }

From 3886d952016e1b37cfcbeea28d748ffa6c5f5e17 Mon Sep 17 00:00:00 2001
From: Sergei Nikolaev <snikolaev@nvidia.com>
Date: Fri, 23 Mar 2018 14:36:15 -0700
Subject: [PATCH 42/42] -todo

---
 src/caffe/layers/pooling_layer.cu | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/caffe/layers/pooling_layer.cu b/src/caffe/layers/pooling_layer.cu
index a87e9bd76ce..70469d88ab4 100644
--- a/src/caffe/layers/pooling_layer.cu
+++ b/src/caffe/layers/pooling_layer.cu
@@ -25,7 +25,7 @@ __global__ void MaxPoolForward(const int nthreads,
     const int wend = min(wstart + kernel_w, width);
     hstart = max(hstart, 0);
     wstart = max(wstart, 0);
-    float maxval = -static_cast<float>(max_dtype<Ftype>());  // TODO Ftype?
+    float maxval = -static_cast<float>(max_dtype<Ftype>());
     int maxidx = -1;
     const Ftype* const bottom_slice =
         bottom_data + (n * channels + c) * height * width;