analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "89eafadd",
   "metadata": {},
   "source": [
    "# Coherence analysis of B4 data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "99691683",
   "metadata": {},
   "source": [
    "This is preliminary analysis of B4 data. On initial inspection I noticed that:\n",
    "\n",
    "1. Hourly $L_{10}$ data from apartment interior exceeds 45dBA during mid-morning hours on both days, exceeding 50dBA\n",
    "2. On listening to a few spots of exterior recordings, there is significant wind turbulence (intermittent) and hammering or impact drilling going on for significant periods.\n",
    "\n",
    "It is immediately apparent that some additional processing of data is needed to isolate *normal* exterior noise (if possible), and to find periods where exterior measurements are sufficiently *correlated* to interior noise if we are going to use as basis for a field *noise reduction* estimate.\n",
    "\n",
    "To semi-automate the analysis (and to avoid too much manual and painstaking combing through the recordings) I thought determining objective coherence of the exterior and interior signals would be useful (and interesting)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fce61c75",
   "metadata": {},
   "source": [
    "## Survey of Octave/Matlab coherence capabilities"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "36bd0f06",
   "metadata": {},
   "source": [
    "* Devin thinks Dbrowse doesn't do it\n",
    "  * [ ] Though check this with Joseph\n",
    "* Convenient function `mscohere` in Octave/Matlab\n",
    "* I wondered if there was someting like specgram/spectrogram but to visual coherence between two signals. Nothing oob that I found, but did come across something in a open source gravitational wave analysis package...\n",
    "* I went ahead and did a minor modification of `specgram.m` in octave: 'mscoheregram'.\n",
    "* Can we write tags to a .wav file in such a way that we could open a processed file in Audacity and quickly go to markers? That would be awesome: e.g. use Octave to build an array of event locations in the file, then use Audacity to check (listen, or quickly apply Kaidacity analysis)\n",
    "  * **Yes** through *Audacity* labels. [Simply text format for label track could easily be built up in Octave](https://manual.audacityteam.org/man/importing_and_exporting_labels.html#:~:text=You%20can%20export%20labels%20using,name%20of%20the%20label%20track.). Let's try that."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4276289",
   "metadata": {},
   "source": [
    "## init"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "07aec5d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "pkg load signal"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e23a5d5d",
   "metadata": {},
   "source": [
    "## Initial *Sandbox*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13a1c3ff",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "### file io yuck"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "b49c3d3d",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "% just read one 10minute file\n",
    "[y,fs] = audioread('BK/Soundrec 148.wav');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "36a74d94",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "% add some noise to a copy\n",
    "yn = y + sqrt(mean(y.^2))*(rand(length(y),1)-0.5);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7722f531",
   "metadata": {
    "hidden": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "tic\n",
    "mscohere(y,yn)\n",
    "toc\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6394e83d",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "tic\n",
    "mscoheregram(y,yn,10*48000,48000); \n",
    "toc\n",
    "colorbar\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77496616",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Hey that is cool and didn't take riculously long (computer time). Interesting that the high coherence region corresponds to where the hammering is (where the added noise doesn't mask it). Actually brings that event out even more clearly than spectrogram below. Is this a known technique ??"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d7b6a89b",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "tic\n",
    "specgram(y,10*48000,48000); \n",
    "toc\n",
    "colorbar\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0219414",
   "metadata": {
    "hidden": true
   },
   "source": [
    "- [ ] would be nice to plot log frequency scale, but may not be straightforward with imagsc plot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bef4a09f",
   "metadata": {},
   "source": [
    "### read in several audio files, and concatenate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "ea51f0e3",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start = 1\n",
      "fname = BK/Soundrec 1.wav\n",
      "start = 2\n",
      "fname = BK/Soundrec 2.wav\n",
      "start = 3\n",
      "fname = BK/Soundrec 3.wav\n",
      "start = 4\n",
      "fname = BK/Soundrec 4.wav\n",
      "start = 5\n",
      "fname = BK/Soundrec 5.wav\n",
      "start = 6\n",
      "fname = BK/Soundrec 6.wav\n",
      "start = 7\n",
      "fname = BK/Soundrec 7.wav\n",
      "start = 8\n",
      "fname = BK/Soundrec 8.wav\n",
      "start = 9\n",
      "fname = BK/Soundrec 9.wav\n",
      "start = 10\n",
      "fname = BK/Soundrec 10.wav\n",
      "start = 11\n",
      "fname = BK/Soundrec 11.wav\n",
      "start = 12\n",
      "fname = BK/Soundrec 12.wav\n",
      "start = 13\n",
      "fname = BK/Soundrec 13.wav\n",
      "start = 14\n",
      "fname = BK/Soundrec 14.wav\n",
      "start = 15\n",
      "fname = BK/Soundrec 15.wav\n",
      "start = 16\n",
      "fname = BK/Soundrec 16.wav\n",
      "start = 17\n",
      "fname = BK/Soundrec 17.wav\n",
      "start = 18\n",
      "fname = BK/Soundrec 18.wav\n",
      "start = 19\n",
      "fname = BK/Soundrec 19.wav\n",
      "start = 20\n",
      "fname = BK/Soundrec 20.wav\n",
      "start = 21\n",
      "fname = BK/Soundrec 21.wav\n",
      "start = 22\n",
      "fname = BK/Soundrec 22.wav\n",
      "start = 23\n",
      "fname = BK/Soundrec 23.wav\n",
      "start = 24\n",
      "fname = BK/Soundrec 24.wav\n",
      "start = 25\n",
      "fname = BK/Soundrec 25.wav\n",
      "start = 26\n",
      "fname = BK/Soundrec 26.wav\n",
      "start = 27\n",
      "fname = BK/Soundrec 27.wav\n",
      "start = 28\n",
      "fname = BK/Soundrec 28.wav\n",
      "start = 29\n",
      "fname = BK/Soundrec 29.wav\n",
      "start = 30\n",
      "fname = BK/Soundrec 30.wav\n",
      "start = 31\n",
      "fname = BK/Soundrec 31.wav\n",
      "start = 32\n",
      "fname = BK/Soundrec 32.wav\n",
      "start = 33\n",
      "fname = BK/Soundrec 33.wav\n",
      "start = 34\n",
      "fname = BK/Soundrec 34.wav\n",
      "start = 35\n",
      "fname = BK/Soundrec 35.wav\n",
      "start = 36\n",
      "fname = BK/Soundrec 36.wav\n",
      "start = 37\n",
      "fname = BK/Soundrec 37.wav\n",
      "start = 38\n",
      "fname = BK/Soundrec 38.wav\n",
      "start = 39\n",
      "fname = BK/Soundrec 39.wav\n",
      "start = 40\n",
      "fname = BK/Soundrec 40.wav\n",
      "start = 41\n",
      "fname = BK/Soundrec 41.wav\n",
      "start = 42\n",
      "fname = BK/Soundrec 42.wav\n",
      "start = 43\n",
      "fname = BK/Soundrec 43.wav\n",
      "start = 44\n",
      "fname = BK/Soundrec 44.wav\n",
      "start = 45\n",
      "fname = BK/Soundrec 45.wav\n",
      "start = 46\n",
      "fname = BK/Soundrec 46.wav\n",
      "start = 47\n",
      "fname = BK/Soundrec 47.wav\n",
      "start = 48\n",
      "fname = BK/Soundrec 48.wav\n",
      "start = 49\n",
      "fname = BK/Soundrec 49.wav\n",
      "start = 50\n",
      "fname = BK/Soundrec 50.wav\n",
      "start = 51\n",
      "fname = BK/Soundrec 51.wav\n",
      "start = 52\n",
      "fname = BK/Soundrec 52.wav\n",
      "start = 53\n",
      "fname = BK/Soundrec 53.wav\n",
      "start = 54\n",
      "fname = BK/Soundrec 54.wav\n",
      "start = 55\n",
      "fname = BK/Soundrec 55.wav\n",
      "start = 56\n",
      "fname = BK/Soundrec 56.wav\n",
      "start = 57\n",
      "fname = BK/Soundrec 57.wav\n",
      "start = 58\n",
      "fname = BK/Soundrec 58.wav\n",
      "start = 59\n",
      "fname = BK/Soundrec 59.wav\n",
      "start = 60\n",
      "fname = BK/Soundrec 60.wav\n",
      "start = 61\n",
      "fname = BK/Soundrec 61.wav\n",
      "start = 62\n",
      "fname = BK/Soundrec 62.wav\n",
      "start = 63\n",
      "fname = BK/Soundrec 63.wav\n",
      "start = 64\n",
      "fname = BK/Soundrec 64.wav\n",
      "start = 65\n",
      "fname = BK/Soundrec 65.wav\n",
      "start = 66\n",
      "fname = BK/Soundrec 66.wav\n",
      "start = 67\n",
      "fname = BK/Soundrec 67.wav\n",
      "start = 68\n",
      "fname = BK/Soundrec 68.wav\n",
      "start = 69\n",
      "fname = BK/Soundrec 69.wav\n",
      "start = 70\n",
      "fname = BK/Soundrec 70.wav\n",
      "start = 71\n",
      "fname = BK/Soundrec 71.wav\n",
      "start = 72\n",
      "fname = BK/Soundrec 72.wav\n",
      "start = 73\n",
      "fname = BK/Soundrec 73.wav\n",
      "start = 74\n",
      "fname = BK/Soundrec 74.wav\n",
      "start = 75\n",
      "fname = BK/Soundrec 75.wav\n",
      "start = 76\n",
      "fname = BK/Soundrec 76.wav\n",
      "start = 77\n",
      "fname = BK/Soundrec 77.wav\n",
      "start = 78\n",
      "fname = BK/Soundrec 78.wav\n",
      "start = 79\n",
      "fname = BK/Soundrec 79.wav\n",
      "start = 80\n",
      "fname = BK/Soundrec 80.wav\n",
      "start = 81\n",
      "fname = BK/Soundrec 81.wav\n",
      "start = 82\n",
      "fname = BK/Soundrec 82.wav\n",
      "start = 83\n",
      "fname = BK/Soundrec 83.wav\n",
      "start = 84\n",
      "fname = BK/Soundrec 84.wav\n",
      "start = 85\n",
      "fname = BK/Soundrec 85.wav\n",
      "start = 86\n",
      "fname = BK/Soundrec 86.wav\n",
      "start = 87\n",
      "fname = BK/Soundrec 87.wav\n",
      "start = 88\n",
      "fname = BK/Soundrec 88.wav\n",
      "start = 89\n",
      "fname = BK/Soundrec 89.wav\n",
      "start = 90\n",
      "fname = BK/Soundrec 90.wav\n",
      "start = 91\n",
      "fname = BK/Soundrec 91.wav\n",
      "start = 92\n",
      "fname = BK/Soundrec 92.wav\n",
      "start = 93\n",
      "fname = BK/Soundrec 93.wav\n",
      "start = 94\n",
      "fname = BK/Soundrec 94.wav\n",
      "start = 95\n",
      "fname = BK/Soundrec 95.wav\n",
      "start = 96\n",
      "fname = BK/Soundrec 96.wav\n",
      "start = 97\n",
      "fname = BK/Soundrec 97.wav\n",
      "start = 98\n",
      "fname = BK/Soundrec 98.wav\n",
      "start = 99\n",
      "fname = BK/Soundrec 99.wav\n",
      "start = 100\n",
      "fname = BK/Soundrec 100.wav\n"
     ]
    }
   ],
   "source": [
    "for i=1:100\n",
    "  start = i\n",
    "  fname=[\"BK/Soundrec \" num2str(start) \".wav\" ]\n",
    "\n",
    "  endfor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "e1b357c1",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start = 141\n",
      "start = 142\n",
      "start = 143\n",
      "start = 144\n",
      "start = 145\n",
      "start = 146\n",
      "start = 147\n",
      "start = 148\n",
      "start = 149\n",
      "start = 150\n",
      "start = 151\n",
      "start = 152\n",
      "start = 153\n",
      "start = 154\n",
      "start = 155\n",
      "start = 156\n",
      "start = 157\n"
     ]
    }
   ],
   "source": [
    "% just read one 10minute file\n",
    "%[y,fs] = audioread('BK/Soundrec 148.wav');\n",
    "\n",
    "for i=1:17\n",
    "  start = i+140\n",
    "  fname=[\"BK/Soundrec \" num2str(start) \".wav\" ];\n",
    "  yarray(:,i) = audioread(fname);\n",
    "  y = reshape(yarray,[],1);\n",
    "  endfor\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ce3c71cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "tic\n",
    "specgram(y,10*48000,48000); \n",
    "toc\n",
    "colorbar\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92ecda8b",
   "metadata": {},
   "source": [
    "### read Rion file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "50570f93",
   "metadata": {},
   "outputs": [],
   "source": [
    "# read in the RION file that probably has same events (outside measurement)\n",
    "yr = audioread('Rion/NL_001_20220111_111437_100dB_0005_0000_ST0025.wav');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "52170cca",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Elapsed time is 12.878 seconds.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tic\n",
    "specgram(yr(1:30*60*48000),10*48000,48000); # first 30 minutes of RION file\n",
    "toc\n",
    "colorbar\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "479839b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# lets try xcorr these?\n",
    "# first test speed with something smaller\n",
    "%t = 60*30 ; % time in seconds\n",
    "tic\n",
    "it = xcorr(yr(1:48000*500),y(1000*48000:end));\n",
    "toc\n",
    "plot(decimate(it,48000))\n",
    "set(gcf,'Visible','on')\n",
    "[~,im] =max(it)\n",
    "ceil(length(it)/2)-im"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d2fec45a",
   "metadata": {},
   "outputs": [],
   "source": [
    "ans/48000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c3f5fae8",
   "metadata": {},
   "outputs": [],
   "source": [
    "ans/60"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3e50c64d",
   "metadata": {},
   "outputs": [],
   "source": [
    "tic\n",
    "specgram(it,10*48000,48000)\n",
    "toc\n",
    "colorbar\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7028d4a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "plot(decimate(it,4800))\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83532456",
   "metadata": {},
   "source": [
    "Let's just find a better marker. O.K. found a truck horn:\n",
    "* @52minutes in Rion file 25\n",
    "* @ 8m40s in BK file 152\n",
    "\n",
    "duration ~4s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d3b065f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "[ybhorn,fs] = audioread('BK/Soundrec 152.wav');\n",
    "yrhorn = yr(50*60*48000+1:end);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aa9085dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# lets try xcorr these?\n",
    "# first test speed with something smaller\n",
    "%t = 60*30 ; % time in seconds\n",
    "tic\n",
    "it = xcorr(yrhorn,ybhorn);\n",
    "toc\n",
    "plot(decimate(it,48000))\n",
    "set(gcf,'Visible','on')\n",
    "[~,im] =max(it)\n",
    "ceil(length(it)/2)-im"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "05df2c76",
   "metadata": {},
   "outputs": [],
   "source": [
    "ans/48000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "31954f4f",
   "metadata": {},
   "outputs": [],
   "source": [
    "8.6666666-2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "11126f42",
   "metadata": {},
   "outputs": [],
   "source": [
    "# take one minute, including the horn, approximately aligned\n",
    "ho = ybhorn(8.5*60*48000:8.5*60*48000+48000*60);\n",
    "hi = yr((44+46/60)*60*48000:(44+46/60)*60*48000+48000*60);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8f3964a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "tic\n",
    "specgram(hi,48000,48000)\n",
    "toc\n",
    "colorbar\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3bbdbc05",
   "metadata": {},
   "outputs": [],
   "source": [
    "tic\n",
    "specgram(ho,48000,48000)\n",
    "toc\n",
    "colorbar\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5cf10c2c",
   "metadata": {},
   "outputs": [],
   "source": [
    "tic\n",
    "oo = 28094\n",
    "mscoheregram(ho(oo:end),hi(1:end-oo),.5*48000,48000); \n",
    "toc\n",
    "colorbar\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7157c580",
   "metadata": {},
   "outputs": [],
   "source": [
    "# now that we have that sorted out, try the xcorr thing again:\n",
    "# lets try xcorr these?\n",
    "# first test speed with something smaller\n",
    "%t = 60*30 ; % time in seconds\n",
    "tic\n",
    "it = xcorr(hi,ho);\n",
    "toc\n",
    "plot(decimate(it,24))\n",
    "set(gcf,'Visible','on')\n",
    "[~,im] =max(it)\n",
    "ceil(length(it)/2)-im"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32a2c804",
   "metadata": {},
   "source": [
    "### time align the out and in, and mscoheregram it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "46f8dd6b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start = 148\n",
      "start = 149\n",
      "start = 150\n",
      "start = 151\n",
      "start = 152\n",
      "start = 153\n",
      "start = 154\n"
     ]
    }
   ],
   "source": [
    "# now let's try coheregram on something longer\n",
    "# let's try to get an hour of B&K data aligned with the rion:\n",
    "\n",
    "for i=1:7\n",
    "  start = i+147\n",
    "  fname=[\"BK/Soundrec \" num2str(start) \".wav\" ];\n",
    "  yarray(:,i) = audioread(fname);\n",
    " \n",
    "  endfor\n",
    "y = reshape(yarray,[],1);\n",
    "ystart = (8+40/60)*60*48000-28094-(4+56/60)*60*48000;\n",
    "y = y(ystart+1:ystart+3600*48000);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "58c0fa6e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans =\n",
      "\n",
      "   1.7280e+08   1.0000e+00\n",
      "\n",
      "ans =\n",
      "\n",
      "   1.7280e+08   1.0000e+00\n",
      "\n"
     ]
    }
   ],
   "source": [
    "size(y)\n",
    "size(yr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "3757aba2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Elapsed time is 3.87881 seconds.\n"
     ]
    },
    {
     "data": {
      "image/png": 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XoeVF0YBPf9f1j5VNygu72DrKZXEpz3+Urr/ueQoNkNE6h4/5fsT+RZfLrEhBDisAkgOkvtgDo3DVVZdf48pxMuxeFj/aKiEHe1sO8AA7XAPmO7sQzl4N0CBcdE4rkYjdy46f6q9t8a0B48qWqi7iuBAN4AqSX58crOtIFXAyPP4XMxuRcrGcJ/wOcmnO1qYe2687iZjvcFihrE1FgzXmsJLZzlZ7h5Xc/3fxyX/mn7woGuCiXeZ439bovEzyGRy1gxEYwglZR7bhlqOtkP7xMPvD7z/tJnwO4b9r7fkiuD+6Xe25bf2D29ek2zZkDf9/0W5IDQ0NDQ23AneZspOIwxLzLVxEDLh5UaTshJM9yIWPIqfBjdlzribsbDM29XIsbF72/MVot+yxf5nkxomhSuFzzQDgRz28aPoCUg2VQ+MbuBHN95MyqrvfAI4L+BFxgewRdphf29nJQ9ZddLKULhlbVZk0km9ksSjxkKJH2L/oeGls0myHmxW6x8bsYbTXa7NRmZAdAOxftl71hfw8rLhNbT08vwaZFrYwB8yMOZTUWReNK+dHftY4JVJeZFB5EB6WLaEUJcGGrDY+7DDeFw1GyZIpevKiHAfM9kg9Fh/pZwsZ1/BToXPDadwlmiwCRcly7//J1193GhB2cMBhAYmQ0ryytY7DykbzuMBsh9Rj+EjH+yIR29/1lCeQI+UQpM7mDAeOvBM52+xt3HlAjjIKjcxxiQvrhzobXVF/hFGnlaTO5q1EhB1uynzLQOqgQQEBcHNfNICdcy5OoXCDAh/AeM6ww/Mf5euvu1jm9rHDfIsw6nxnh/I74+7SAqmzsx9WFH3gsMJsZ1c02+E4YDYiLpA6uHSi1Khk4Zzn1E0dHv+L0D9WvpOdHEadgqRw6pxcvrnsFpeQgrWHFOhtwJN8+PIO1v/db3nW0FZIDQ0NDQ23Au2G1NDQ0NBwK3CXb0iVgsgBF7/W7ItsrJAJsVBVN5fQQEEdAKQeqVMAdGZw1R8HJTNAesFPRtf0G3vzcbDDHgcAposjVTKtNfWSvRE7zki8k3ALgET7YFzgyYviR9y8KHRXAIiDHpY8rMYFbl4Utmf/QACkrlBk3qi/ym6RviApdxwKVVKIlMVHmR4RKtlywJMXTRaVOpBSywHZ4+ZFSR2OAw5LPawQB/0NVnO2U9JHPFEOyAFx0JtLHsr+Suom9bi5VJcQB60WK1MAdkidGsHojcmJC2thXGBaKwqfU4eJHNp0HzkU21Zng5sDUq/sappvNGgcNC5wHLD6q2zd1Sk1kOMa4xrHhRwHbL7heJbpPo6lPS5ifg3yeIcVxjWyh4s4LG0WAdi/LOSOOLJV01gbBiB7m1RF+YbDUv1krCOvy8UTHQfYRCXioADmW9z/d5Fdd1gZE6hBK3813Qev1Pp/AoDDCqkrDrNk3Q7g5kVhB5Lv9SMOK6n9/Onvnv53wW6kXHP3sqQex0GPC9xc2hvsr/dPdDE1q2z2uMbzH2g9GgnkeMaKh91p+vUbaMB4X2Z768BxXThPb1+c4iZE6oyvK82wU/9TwJtvvvnd7373jTfe2G63T7stvyXu8g2poaGh4Z8I3nvvvY8++uidd975zne+8/bbbz/t5vyWuOM3pNRr6nFY4rgQbmsDcAmHJQ5Le7A9DvATssdsZw/+qVOJMr9G9vbYm3pIlPrAzrXIzSUOS725VK6WNCgXNKlXKfYIlB3Xm0sFH5bv2xG46rr4tQKnHV0AqdPU2cfp+Kkrs/m1mZDqO12y43NNw0fI44DjgPk1Ln6t9iTb2fJrXCP1elzYc/f+RceWZG+9QYxr++WwxGGpGnR+bQ/XPK9E0YDpPm4uVSJSZ2u1OGgcVINOa61LAZfgJ9Ggh6XWx20UucfFY60Li/k1AG77a/bwkz041xZKtB7gg7afbLue5+oe2zojLnjVWv9U1xw5wE+SA46DArj+umN3Wc/3HEd1ERqUD9oci+d+rX6yhQjdZi7aNVJFwgHi+tuP9pgfF5jvNC64e6/UU8z2kGhP8WwG3wwTHdhqJnVq8hOP6T5SD5es02z14JF6/If/ItTV/3FQDfCT1AUQUI7cKzUCzz2SKoXgsp6NoSaFDTgslX9NPQ5LDXvhL5yrdSmsZW0HwI+y+qucej0s2Qk2bw9LZC7+RnPRuQiX8OmrnGl6cXVajnMg/AQN9q10EePaGsY54xI0aPY2/wFoUK6Y+anaSF5aHcHbgCd6/LJ+fuPI77777re//W0Ar7/++vvvv/80Lu5LwK0ZqIaGhoa7jn/13z7PX/7t//bZP/AIfxPL5ZK/fPjhh7/dwZ862g2poaGh4R8Jv/V96G8e4QvuTF/72tf+gWd5WrjLlJ3EkzeItA/pFAAu2Z6qRPgJ0zoPj5TmFbJnJAFme9ubBex32mXioKmvvJOkTg9LSJTjgJsXhScl7UauiRwRgDho9rbxzl8+fRVx0MMKGjDb47BUiZJ6JSWVg5BUmW8FwGFFvlGpqiC15Ud7EcC4VnJHGvTmUm9elM81fqIHxTw3NHxU6oOUGhmb1Nsr/PGT3FzqYakuGWPmJ7IoTCa1M1aCy0+2tQ4gLrIfCzEV7Oc4KNm2+VY++90yRoPeXFrHxoX6CXFQ7lGnTknFxEF5sfOt8HXANrHHNXYPySkJ+1yiHAdNvRZ/j9Ghx8GuyyXjOUkqAnClq8c1/CQcbl7I/uViw+qUhNhhJalXDUpLEz1Y860NvUu4uUT22L4q2aN7DD9J6vWwtH4OO3QbKSOiqUe3kdQrL5bs5WFp3cvGHwc9LD9H8K7+KmeP+fYkWyBme6ROOd/ignyd/f7kgXI+8ItA01iJG7aR5WDxPRSnmD+vMIGHpXYbOQ5KzQtnLyNu65ELkajsNzJvGpR8cg44DnVC6mxv42hhRUO1TMFPdskkYyttyyGr9CB58sNSL67sRBrA/K3qabvDeOWVV959910AP//5z9sNqaGhoaHhqYFbR2+++eaf/dmfvf7660+7Ob8lGmXX0NDQcBfwox/96L333vve975XN5OeOdzlFZKGwgAk45f4z+wxv8b+ZXEJN5daHRiA0QiAkQCph5+E+q7jAIlCbi3spZAbMtvzXMZx8XcSbgDm10YMltAdY5DYqqpqOw5aM07IJpEJOazI44E+D2rPcsDiI6uqYiSYN7eNH6X6VKqQrNtIUZGh21g+TXX8MDbG4n8miYt8zvz4SfwoqaOPx5RvEuW8TlIVzh0HDXuLiCZjdiY1VArtTkcejWbMHuNa+8eaiwSr34gbJXWICx0eGWt0WGrq1U/WGMrh6ngdljkuMlvoEvyEwzLDuCAhC8oumu1Reyl1mnqli4W8KA/I91eRHlnZ1Om41spnxkF56hwwrfWwzGQXp7XGRZ7tSqhPskGvBp3aIRxWwPpBAw5LmxLza9xcWjOonaPUjVOI3Cnx2cuO1rRKyR4HHAflVdT+zz3JVeUYsSukTL9prXYJvTne/CTTOs+3LIyE1FNmKbXTeNVVjngctPqucjjxfry043CSWUoUDUoZ53wLP8rNJfwk41o598ick7nNJTpoWp8umeAbKtucOvtaAZju47DExZV5v6iVrdrOp4snql/Wz996/G9961vP7t0Id/uG1NDQ0NDwDOEu35DCDsfBHv34yvzaAgIybfbLDMAldBvHZ6t+I3zu5ha6REzrbLvfvWpQifa4KlG46VrdHjQJ/bP/O+dw2hDmwougZ4jPiTeXllzAp/LZXkpYgD0su0glAo04uf6Jy6DH3xQ/wo+2ze6nk3zjOOj5Eid1Oq019br4AP2G2RO2Uuk3AHBzmf0oXAfU3fJ+I8dBzz1PLmK+ddwonm9PW8R1ycL9eQ3wo/CxlGdZfODYXXxk5qWxtVyZxUUG8Omr9n5aXs5SNqQ+GruI46A8Ea+x3wiflCWKRJlvHZ+yp3WWKFzMsSVctvpRws6e37mA4Il6eqEGG6D6eE7UvX0+iXNFyM6Z7aX86XNzj1OIG/vE+SDWw8bSyexGnjrs5ckDjYvsJ8z2p9dTh/lWcm+rZ4niEqa1/ROn7X3TFPDjKFYn/slSKgblguw46M1lxtmCg/PtaHkKp344Lj7n++ElUMhj+pTr4iIapTIEXPX+s1/kwzLnUyiJjZqL9jsnc51v1Q1GbVFtHmUUqYOfcHElXIgfB40LBU7+M5oCby51+VeZh6pHaLjluMs3pIaGhoaGZwjthtTQ0NDQcCtwl1V2GpB79deOuSMSmXdpOTrzrfhRuo1Ma80DiSZjRQ7LYgMayCnZTqyMjjRd2NmNnAQLOki0KjtP7jsXS7RlB4Ab7CZtmF07bgj7UbjPHwdlgaJxraTvUq9ulNTrTa9+FPHGY0gUPwmgfkJcaOpltsfNpZJ3CnthYAyr3XQbK2aTPY6r7EYZ78thqf1GJODQM3qHSZqiwS4wB+EvqZfZXo6Dzq/kOKDfyGGphfmxzNk4KM9CFvHJg8ztdxdx7K0/Jcr+gVElqcN863gQBK3Js7ByPtptHPfGeTpSfLuHSmMQX5ztheGqLiFDGGukhXkjzUhyxo/Cbp9vTSBAEm/3kB0uF1dyWCL16iOuX8NsD+pTAImLHHZm8+JLRu5FAcDR6TZCdwuPRn6Jl0wqdRpUopCQpEum2tFI0mZvdKWlUk3C4J9pnedbV67iPKtXE0S9ApJ6vbgS8nWEn+SwzH4UPwldbtqdZpob5bxMFxUNGtSPEhca9kaXuQRAMwTAfOuyr4E94kekzqaiH23meGYOdQowRMoOkooYAUBc5O3XnYZc9RH8BqVeGWTF+ZZ6ne2le4wnD5TqiWrbQklcpYxCAzQJiWg/CvUaYS/TOtcvflzo7Nr9p9c4mS216DZgn9sa4IvQeqehoaGh4Vag3ZAaGhoaGm4F7vIN6biARBxX5kcB/RCjJcSQlCNpw3U9DStM36EEK/f6/C9PXcR31t/jIoedY4YKAD8hddg9rPSXCXsYnIwzbZIGJVdzWGajkkZT3/nRkoe0VPKmrum5R1b9pdiYJOyKj6c3CdZsh+Mq8+PTWpk0k3pVr9TR0aSSOsz2Mt+Ki8i9zvZSr4t/IoNEcRpDyqm+y70yp5kytvlWnjzIfjQuMXfWGMD4um7jqB40Pm1lMjPSLEwYioN2G8erI/NjaTGjoPi3XHG00FkVSgupljSZ1nRi6sgIHVe53wiAJw8yT2psDz1evYkPeUbK58Y1s+GNRuOsoIJuthc2mBY02tQolazCNn4KQA6MyZG4sPF1liZlrp3cn64U5uVSJlu70RKP1KpJZT9K2DlSx+deHLK19SDH4fRLXOTUm/bMJetMMs8Us1XDUOo17By/Cwzv4eXQrBYXmS6f+VYOS7h0Euzl3hrjRyOuU6/9xs7VbYRdXeezG090HwCaxkxXuXOp09xr6rSQq+Al11lHgrHGSlFVyN4mE069Yi4iz/ptTb3mTo/LPLu+y/+vuzNog9TQ0NDQcCtwl29Isx0urj53gczQlCh8oCt+da5RzPAx20t9gA072T3UWrqG5Ue7jat70VyvVK0En/suroDyqF6TJVGMLLk/+XtoJan2IHtSDpjtZXbt1CvNFrnTm0vz3GjAuObWPWzL2mvYuep+50VVnwcAN0kN0yyOFmXtV5QaQtzZNkfIhLjIcZHrJewf2Ob5vV+aWUoDbi6pYrAwU8ACW+dbcQn3f1biOEs4RdiZzIHBGX4UOrcOS33ywJ58NejFlXvyINchS73SDWPL0FFqmaXjoLO9aNDcaV0fcKO7LEDrkhQUbhwHnW+dH80URfWB7Y2XKIqwc2En860tg5hWIBF8hB8vM+UwqdPZXvwEP9k6g4sndvJhnWg7m+2FZiBegq1aRmES6Hzr+Fx/Fkxg0wAAoxlog+PC4rDMbrJFJxcunEu0lM23jos/ynlsuDuTvXCRUdZtqCtavshB0aDHVa4RDxdXjiPLTFuG0s63ppLgP4suBgB2DzMAZg2nHmcrb1sZ14UsgLBzfpLZXubbk+XLljUdtRLg4tLiPyauFKtX6fTN0qDPPTqtxeuCnqtbSSLpcykhTxF7DV/Wz9O+lK8Ed/mG1NDQ0NDwDKHdkBoaGhoabgXu8g3Jj3pYatjZ7jTpi+6xFUqpe9F1xztbJWYjl8r2b4lU6WwznEQQt+v5VwbVsFaQRPns1Rx2rpRhtozRxQcy35pHRIPSaDLfymGZdw8zN7QlGqWTOlM90HPj906D3lzm3Cs3h4+rPK1zLd5T93sdL6Q4M5ho6UcZ12aRSb3WnM3Ua9hJ6hF2krtck5AOy5OUI+wc+a5+I+p1WhmZo141wI1ycWXFbPze0Z5FC9H2645psNzWJkEqUWZ7s8vERd4/0OMqm0bAG6MyrpW/l3GpnWxb9FoCPVe/QI0Hzb3W8CTCjUIOMOyceq00JsUaFGJooJ1ImDlLcCZQCnEa3JKNS8dYlQzwesPODY80DjaFws5JkuzhRjksM6ktAHEBCkxme6F3irYtyhZIC3NWkJg6LHW+dcdlTp2WmXOaVCw0DliRbw1aT8QN/Nm1q6xyDTci61snlXqNC2VW0GFJ4QMApCFr0LFEmlpAVK9+lJvL7CchcTffWgZr9meRtaWra6YtkXo9LK1XJcrFFdg5N5dK5rm+Ta38/MnBJlEOy8xvJb+eKEYljvvuoXYbIz85A90oubdf0KKDnhHc5RtSQ0NDQ8MzhHZDamhoaGi4FbjLN6T9AympPyYkiwt98kDPI2GqT4JEQVzoYWlsTFxo1eClzxtHmPd8Sm0ZLZGaoi8NiIs8rbMr8jMAN5dgtEm3cWcHgQbkTqtvicq6egmWpjwaUUYWYrY39ib1enOZJUmVY5mHyWuhdDKAUKRo5J0kgsTduU7nJF7q1EV8+lrmSasiblyrJDksgVI6mkzIdJ+ZN0bcAZhvmR1uosQ6BGxhNbKYqtAriTVJRtrkXiWZHi/sxY0Sdi73yqs4FlpMoly/VsKZ9o7p3WTD+NnhEU0qUjkiFzEr6krWzmFp9vlW4gK0N5EpnW9FA8LOuVE4Q3Kw62Xkea1lXmV1+wd2RRdXNEKZJpB/pZoudXZpJDNRPGSUMpK+06BkC3m67OEmYZ53HdwqKdSSY01FX8V5MhCFgjBpnwAIO1l84Ng8dnuJcSoU2ZAlWZY5HVHsdsYpsVXMC2cNJJaqYna78aK9kpi1AY1COpfkJF9kgajKheKsaDqnB8lnsrtWJmp7Gj4Ax0H9KGQ46ZmjoJHzjcLCkox1muFPF3udf1k/T/tSvhLc5RtSQ0NDQ8MzhLt8Q+KebX3u4wN4XKi57kehEoEFYLiKYm4m3+lGme2FegeJIklqUR8UywiK7wcAkxHMA99ZasBxlfnQDVvulIpBnbIUkHrlI3BdfjGuFIAkcal6m6TY7C1CdHZNuQFm167GSpYoT3URh2WmdoO77nwDnRzdxvVXjs+z01rDXlzZH7ZsAl8CF2q6aK/qtYYa8EXWcKrnPSztqRlFC6BBc5ePqywRv/O+DUpt4ZGumlH8JGEnbhJuWUvEfOu4YV79/Iel5o4LOytYRYNOtlKhwuyMWsZp/0DDrkRC7B0/RSUIs2jrQtnKMg0W4sliqW6U4yrP9tJthJ4YjiAXnQzAZQ4vVzlxkVl7l0sNLq/Z4YyUZQO6jbO5MTGf9CRS4AcXH7jzx/lUXGsMXwg7kWQ+OU5FrhWyNxdRnfkoCw6JoBym3whNURLlsEJ1R9X5TAkAl039lWNaK9cZNOcxoCHsXFxkppey0m7ulSKIOs/ZkxWUOaThlJlCqVH9HvlR/N5x1c51KguS8fvIHgs7N17aUinsbd0MmOHJMjL8qetqsOx867qNuyU+pIYvxl2+ITU0NDQ0PENoN6SGhoaGhluBu3xD4t57LpSdJGFkS824TEMePtLqn6hvlmQb4IdlPq6yBqQhV58E4SIYssJ9WjJFudewEzeKJOFmbN1WjYvMSNO6LZ87rZE2NfLVlaI4ZukonNJheTojSjyrRJCLIA1Y0zPd5Oz4Xl0pQsNtarJ/42W+eSlxqzmHU0jreSluRnmeuzckSVwY+ydJ+o3ljXKP/XznnxRoNaPkLkuU//gNoOxXW2hTsu3owzJTR5ADjsvsRxlfSOTo2B4aa+oOvB9lvGSybaYHq7qCtJS+Zn5PJbLSkKmhoB0qDjqts4V1Dspt+dle1NMrY5ecOt0/NCORBtsz519dxJMHmcadmoTrR7m5tC7SUiGphMaeMpZ+533QoVWcW5ldLVE+/f3EicTt+poSxAFlZC17mJ3DDfzjKoedqwesEhKOF6lmP7KefaaAYlpb491kcpI6w90oNy+x61AkJJSfZPLMuTPRBNlgV2jt3CmjjyQi7KRKLao37ri0Pj8fsuMqW2V0r6fx6lAMW0o+2SVUgxpjurqNiwtlgtTvvI/c6/Mf2BuoqeEpxhfS7cnZeZK7L+vnaV/KV4K7fENqaGhoaHiG0G5IDQ0NDQ23Anf5hmRUidewE/7QmVHzsCXJ/mVzjag350eNscneWK9z2sePQp/QfCvqtVaF0aB+YpSOeT5KENGpAk3qtJTc1rhQN1FRJjWdOgc898jlXocPXLexEjjVR1Jhqr8oZE54jbSeVP3VfCsMOa4mKhS3x82l5i6TRTk1fhSKqSSCaiicldhhw+79wlF7dlxmAPQepe7E15FgSZ1qQH/lAMy3zhUJWUliFtZDMvtXOddhqeqNEzt3fZFko3GqSrOoTvSTEYDMhC4iLlM/hp1zk6s+M/KETH1O5v5BLQuUe82dUkFnJ+2Vp649QDsO/ylRuo3NGSoeSSoydppjwSrdKOXPSXbFRZYkOZg4U4M+/0uzKNlUIV187RiBYxO1KMfmW3dYZmrh2E4SWbnLLEp0Lulkw+bbkhS+MqPbuaSTRB+Ve37v5ltHmkuSjJd5du0oq0sdlYqmTeU4sku1hI5X2R6pYIoVqypVIkgaA8id8pulJYbqsMycus89cjV/iO6rSmhTSsppzz4ZX0g2kz0231QA06pUser01M7EIP+/5X8RDbcNd/mG1NDQ0NDwDOEuPzbQ5gKAtU3rJu1sL9OauaKaOpUox5VZ0/nibOviQmfXAoDyBA0O5WmdRVRLkR7bYdbAIqpu/4AVj5A7pQoAUJqN4sIWYX6U4zLzKftoJWvhRrn3S+weqnrdP8yOuaJe+awqJWSBEgZAWehlWufqfOLF1qdye8peJzcJLVmAVJc7H3gNz79MAAAgAElEQVR5wG7jpnUOOze+kOYbH5HrXjQ32CXiOODmMoedqzZ+lkNFySPIi3yEJWJUWw9XmbOtS2YxsTI2rAYkEeqtowDMtm5aZ0nCV8LO6ahxoTwj6+Icl1Z9VUoL/d6c/24SniIHsGKsM6EHws7lnlGqpoOoJ622mLgAADdJ2LlDlyQCMJO/Lc4+b/RJvbBjUUQEMQDAZ69mP0rswQbw/Vx2hB1VIfLpqxZjcXElu4dZA1BKT6HkLHBPnpYsMLI2meBFSpkrDcgew1/7/Ssp95pGmW+dRYT06kaJixwXqDkRYeeOIaOU9AVwXOXZtQs7HNZJoqPdykX4a3dc5Zr4wBc12tcn97YKtKsb1BVtC3FYJ44LT8ThoMBHokg4JZ9yBO13j5tL++7MxtPocEDjIgNSpu7pXDyFBhtEs3ntXVxkEhXqNYeTg/DpYv9lihGOX96hbgvaCqmhoaGh4Vag3ZAaGhoaGm4F7vgNiTE5tcRO2MnFlRwHYxvowmEkKDfzufaPC9aJMcYvF5IEp5LPlgE6rXPVPlji6hmV4UqpbBJBsPRVHJfGeu0f5rrTq0F3D4HitgG3rCfbu8YpqRPPPXJsMGm93NlBzpONaugOdQ08bCWC/N5Ru2FM3WXmtXPPn86SGldamq01exS1HlI8VUzPne1LM9qVO/a1xg+LErG0dnU7SZR6gdympkyALx7Wqfa8etaO0tnWUR8hEcWoZAIEADQ8malrFL7O/BjqR2q0q3WvZY86AP2V44a5S0xrpQoG5IKKzsI+K1GmdebmPGkoRgFx/pAmYpv7jeUn5S7XfNIcrDz5/oGWzjTa1pVA0rNqQFqZujQY8UXPmUQcV/nmMtNLdFin46DVTsRjpiFPa4vKJYul4aTp4KnpzSLZxeOTYWN0VpVg4Cwet05Ik5x0Stb0uMo2h4O6wtfx91o0nV8fNwq5xNleavArdUP1y1v1F8eVvR4XmcbBKvTwhThlsFP9QvlReDROp1sSrtrwxbjjN6SGhoaGhmcF7YbU0NDQ0HArcMdvSBdXQusPmascMK2ZTHx6z7i29BdJJmwrCSWgk8NRMle4I5qKcpeZj+In+L2r+SukJpheXKpTV00aprVFEFFKBFj2D99DpktK6RfKqGpjSIy4UZ48yCSayHu4ydHkkYv9wo8nr0a3ca60nGxh7jJbCBPFZfWKkOl/OqwTWREyHnSuTOtslcsDimAPtdZ17k+VloYPHJ007OTjoPONr0WJUKoo1VLrYefYe5RRSZI05DTke79w/D13eu8vvSTxo5mWmDpj8r8kRjAmYUYOE4P8BF/oL477cZldtNo8AGZbByrHvI4vpLCXaW2UY/aoJanIodWSTlUbxq72e8dupxWmzisex03iR/K9AsBNToN2G1PTkVOt76xxRPT3sG/pbaIukb+7yYgverb4qfnWcb7BKjmZq4wUKI9WYuCRhmxl6QuzV3WMsy1DhoRTQqLMr80B1m9OmUmVIPWTXWlxehn5SeUeByh3SrUe/UBUpVb2jGniLIJuX9JkOrrjMh/WCaWiVdjJcZn55TquMr8v7NXDMpsRrQSKUxnri+g07Jy7HRI7APvcfVk/T/tSvhLc8RtSQ0NDQ8Ozgrt8Q5LExYQ9CTLvoHrvzaNj8QQyu3a2xJks44BrF+7Yz7bOjzLbOklSq1KWTVfYP5PU/VVWQc3Fc27Bmp3mIWrQ+cabJ38UVr1k9gH9MRrgJokDYzFRHl3Nc47y2E4bfFwmrniocaiXplYtVCVi8YE1L3cZgJsc65YC6K+cBbyOXr0+eZBPYZ3VeJ8EsEKotVRP9TxJEks+jaIB+4eZZqPzEFgeh6WPXES/EVcWiIy4rRV0LE1j75480Bqo+tmr2Y1WrLZoClC3vnkEN8phnaqHiX4aPi+7hDooxcilv/O++r1jdgNgHjKJ5l958iBTVsBF1ezaxWXi/v8peiDVvXTb2HeTrQCoRpEoTx7k1MFFXHwc3CjPPXLTWnPHfX47TtmiBz5fMpWLV2phOAm5BERx51RxwWGZOZOLt0yKWa22037nDDnpDsqantcVF8o/cbByr7TcqddxrX6UqgyCKQhqkqnwLDUb5bjK54sSzrGwE6YtcI3FOVBqiYHRJM//0uUz9oKrTxQjVxHXWL+5SUqy7eeDj0dhZSw6llIZyobbj7t8Q2poaGhoeIbQbkgNDQ0NDbcCd/yGROoDADku1lq2sJkS7cNgR1YKV29EmQU+dhb3yTourCENWKKPhhMPQH1B9iCzxz1hNsCP0l8VIiI6FitKpSJ4DXEhAQgg7KQmwFrx5r1Uqoq1omltMcMND1gMHDQS1UzVm5fS9TcsrcdNzu8dc2ZdhCS5eSnRu+Mm4YY57Ur8IK+R2o0nD/LFVSlKFMzFwuYdV9nKhBe/lAaQZrTC8KUyDU1IN5eZ3GZfDkhmpmoQuo2jaWa+8ajqiV6Hv/YssVMrUuchnkrUFzKH7hxmJgHgOAIgY8ld/f/wL+EYQRttD7yUodJu42oaEx1p3F0nIUa2zY3SX7ka21oDhA7L3F85HrBOwhzAObZ/mGtgDz7vG2ML6etyxW9ERssqQu2FU5R9QkrNhDbBCGTWrWd4K8nP+caXPjFTTv+Jl4jZtav2tUqZsni8K9qE3OUatFrjgGv6KmquT6c1fomv8/vF8Fny0uyEsD+JdM6DVsmjxkE1YPfw5J/rP/H87HOPHA91HNRN7tyfVKcHiydxEpKqZYAvdRznEcNPF60e0hfjjt+QGhoaGhqeFbQbUkNDQ0PDrcBdviFR0+VGxnV/jlUA4CZ5/pfMyLEiQKQaUCJtaM7IHlQ6Pf9LBnubEo/vJONH24eWWtphbwVmALjE92hVTz33yJnBIolEOawTg7pJAJJFJP1Sa97Qs2JVXkoUEILRPuSIEDIpHfpISvS1HSEutPpy4sKkTTWkhxKpswBs6yJ213zrSiGlDJOQOdbg4dtYNUcDpWVgIfPjksk65mip/yV/clhmN7nDUuNCu41xfbO9MFTp5qWkQY04GuLFlSNR+eRBPpgc0cYX0ZHsQmFH61/NosRqTJNFHz34P7KbHHNo4kIp+mJwES9EA25eSjw4dYm1rJQGnV07Vs520eq+i5UYN0sTgDiYYo2U0cUV0pDnW1cJSfbSiawrme40PAGggcaXDCG+c3whAcgd67JL7VL64eYbXwKcTr2BkriTO9O8UXtGKw+K6I4+sNyZKJRTulYqIslWycnUKUlOWsT4XeCInxxXEbXWEflnCvkOS3X0543iik8IxWNHPlzOCn2lzrxW09qmFkOGqh2tfpxXyhAvKuvqSct79JxEbbi1uMs3pIaGhoaGZwh3+YbEnViuLQAwp4C7wWEnacifvWrP+POt42apJImLnPvT813q1SXMN55vrsuC3GUN9kwNgOaSNOTZtRWkUa9xmcoTvQKgjYnrDK4euLCgDMHbMyYXNCc7SN0wr2YOvh/R+cmcSbNrh2hDycZfXDlaPfj8Sx97DT8FcLSFnTBF9LxaDJ/f6aNafOAoCuAy0eQP5Xm5KiBqNzI+laslLkoAHNZpvvFc/zGeIHcneQhrIDGuFGVZRoEAH+RZCoj7/HaN3saXgg5YkKimIo6YXbPebraKqFH83vm9+/i/9jypn0S9ub5K9+phbWYjdnJN/EQx/3MiHZbZn42LOWlKZsHFlZQpkXPAdB8adPjIlsi+JIryyFwFcnlETU0VJvBaStSCaNCLK1cX8cOjun46OZN4KBZRrWoIAG4qtWu7kwyHx6xLeS4sGAXCiU2/Wp0twCkYtxZJoiGMYzrfCpf+dKexYFgpzmsxuPWdudfDMrtJqhYGJZOCxY45avRa1bVXLelbv6H0rvnir7Jv09Yflzn3ylySi499LUz81NGSGr4Yd/mG1NDQ0NDwDKHdkBoaGhoabgXu8g2pRKBaHqU72/GOC2N7cq/GHoyWCQSWKu8yiQ7mYB7WyXJoJtc9pnlCcmecEhm2GrvCw5KGoqumVo7hZq8RLyHXXVxaeQDMt47BQqnX4yrzr2TVmKPabSxUxu9dKgSLnxC2XqK4yTEDaVyfKKxS50ao76CEQZKQ4nCTMCVotnXk7sgjIeQ05P2DU7XvUljIadDZ1tFpxG129i3bU1nNsPVkKWuAkBslbD0AUlLWpaOEXQn0THJc5tnWPffIscrU/GpWt7tRtvpTbzvw6nW2NSKrDvRsL3UsyLj2G2N1uMMvSQ7L7PeOjjGUrNsawkt1wGwv/SdG8VkmbCwBox5pyCWLCHVe+Uk+ezXX9/Odfu/+4zct5DT1mr1lknLi1UrelR6kyoPzhOIaKm5SD3bdbC/j2i7f3FH7z+3Yazij1CaZXbuaOirRrEhV5hN2whHne2jnsv96Y/Mkyb1fOABxmTjlwtbzaHGh5J+rcudcUHAqbpSEAVq1vD3Hi31ORpqsNZlbMornFa1YfapSjmRcZ9cuLrRy3fWYKLIUN7lpfYt8SA1fjLt8Q2poaGhoeIbQbkgNDQ0NDbcC4e9+y63Bm2+++dOf/vTevXtvvfXWcrnki3/yJ3/y/vvv37t37wc/+MEf/MEfnL9fIhxc5QS6jbiNNzNNQO4yQpbR+73rN7J/JaWBgTcyDTFsPTNm4kLdKLm3KG43yWevWmnzRFnUZEk5lPDFRba4ZW9M13HQNGQW4MnJHEuSRPbBQoOSKabcKKlTFo+hX8ePLi5PIq7ZtfE29FtYHs8ox3WWiG7jYgSVTi4aJeL3ToK5rDQoICzq4woNMts6prbwSv0oZkOJVpHIUslXJ5GblbXuzZKi3qgVqrPSUELHh+w3HigVpAL8aEIsN1nRJrZKRpeGRBJVgx6X+bBWKvpKDjpmW/q3HK0/qddu4w5Lk1DOt479LFHGFxLZJCbxHJZZButhMmNGMA7ZbR2leqQlTaG3d4dl1qDHQfsN3yz3fonrbxiLpR4RGUAeotuHOgfcJKnT2bVzCalTiRKXSYNVaXIRYetuXkppsLQk8oR+79h7853TIN1GWNi+6uvQKYm7vDPmLRUDkHXy3o2XrM7lDuvE+lglpEeyR+oVIcsUmMNda3FROXlYJ9l4dp0GDRt/XOVjqQVe5wCpSF4Uvx1nElB1k5tvxUVPAo2+MbH6XpZ6ZaxmKZ5kEtMktcqURMmL7EZJQ4oLi/yh8LX2w3wrcWH2KWM+uxx2XkZ3DFagnYy0FXm6dsdVPo88f7p4kuZPuwm3Gs/MCum999776KOP3nnnne985ztvv/02X/zxj3987969d9555/XXX/+Lv/iLp9vChoaGhoZ/CG7HY8PfA+++++63v/1tAK+//vobb7zBF7/2ta+99957AD766KOXX375Nz4y++Hb9Xf9779fN0vv/0wff1Oqjl+DPnlgD3o5QPvM4p4MqeTrbhSJzrZVJ+HzOB9F+YqtipLFU2KU3ANlo7jWH3KjXFzJZ78fawkZnFWP1YAMOzg/xWfDNOT5xsdFprmEKzY+VKYha7DyoKMt/syHwauj6eq4LE6slWUT+NEdV3rxsY/DSSCQBs2l5FLu4EZJgxVIVa9udBrUJRwWWt1Xfu/SYEGxwKkyKVUhLB7KVdFsz7WXzjc+LtQyLyJSONVPAiurFmPKfOuqOem4zBasWdwwh6WVOg07OQ6ae51vPC8wd1m98FrCTuoz+/2f+f/0DaQhX3zsbwZbOmBys61LvTq4NGRXHF1+lJvLzA7fvqZcG2lQhDz/ZD4F5JAtIZfr49ExemPxK38cOLLiR5lv5ckDzQHjpVXnqiViCQ7fcZXVa+qRuzzf+OOSnWwXRYlNDXTgnJlv/KFLNQSkDm7YOS5xKKPwo6TRh51weV1PXSZ8AjzXW5pO6hIAs63LAXGZNWh3HaYh+r1LQf0ocWmzvSZ3cJVWCQANqn0KmzmnhERJQ5LrUJfIJDA4sgDc6NgDQI0SFq6k6U/SyUKHV+/L9jWrTcXcihyQF1m9zvbusLTvhYVZ/M8/bEuSZwjPzA0JQKXpPvzwQ/7yjW9848MPP3zjjTc+/PDDt9566zfeP/2P/4Pfu7hMfu/C7h+1qQ0NDbcB7o++P61zGrKb3Px/evvv/kDDU8WzdEOq+NrXvsZf3n777ddff/3111/fbrff/e53f/KTnzzdhjU0NDQ0/NZ4ZvaQXnnllXfffRfAz3/+83pDAnDv3r3/r4/0n/h7v4Sb3MWVO6xT2Lmwc7nXx9+U3Kub3PxqxpAS9TrfeDc5agGee+TCzj33yMpR0whyHtl5HE7VrP3e0YtDh03dHAbObByRWUE620tc4BR445W5lnSc8MXxhcRImFpSHcBxlcn+zbdSSwex7hFjTOnwYNpN7tWsOUlyl8/DOtWfinADGC8zt6lhW9MCgHW4YbYbPRXY7lUDsgfbNnzgThmyJaSV/51dO4T83CNXCRzWo9IAN7njMp+qxUfxo+ReZ1vXXzm7hCTMrSF1GXbCCChrRvE50ZISduInSUOuGak0bNVMGnp03CRucpv/MoedY41zY8/2AUDqlfmnjJsC4CZjGmt9nZqyyo8AQHR+7yqZFpcp9er3bv8w517dJBcf++MyP3mQZ9duvmUQKtldS0gytUJnUgsNJL6EtdXV6/IXjN/N3calIZ/KcZU5RrFMTR5iI3kJNG+R8qIERqKw3Bd73np19MdV1pIJVH086pUBPLzWWsPJ7x0dcrXoVzVd8WvC/KGLj4OMniG5xYEklbGs859WOSoUXMmT5XS1umUBVNywwYelfvqqdT/9SdQvqFftEwuS8XvBPx2WpNlvy//onuT5l/XztC/lK8Ezs0Li1tGbb775/vvv/+AHP3jvvffefvvtP/3TP33jjTd+/vOfv//++9/73veedhsbGhoaGn57PDM3JAA/+tGP3nvvve9973vcTPrWt74F4Cc/+cn5iw0NDQ0Nzyhuy0r274lvfetbf/PG87e+CGB8IW1fUzcKQ00O6xQXRnqwLDfTnY/L7PfusE6MIUlDvrnMcZEp4jqVVPHGGjHzhjYay2hZRJwlLrMIDYkR1FLKfdKgh2U+DmqE1SjMISZvQ1qjnrHap2gVAoCQc6/jmjW2rSU1/jkusi+lYsgyUcgEWHp0XOTZtWPSDHODGBREpdkZBwiWXzImKkqtlY6zctEa9MkDy8iZbd2pQFFpDADmPVf5HCv3VKqKIc2WBu2V1YlqASf1Ort2pKFyAIud586cRqYw7NXvXQ2bmW0dK/GwCFbuVfvENHHACp9zdMpQih8tESd3Or6Q0pARMjNpmJk93zp2vpZwmsWvvCWUR7Ca+PO/dJWCO00VrxowrbP2RofWyKj5xpOqYq30GrntInh2SSce7PoblmbEoGuJQs5WS+ErTx2a5VpZ77lR5htPrxjJ3tne9J9xkTlvyaPyAjk0tYgRCttsAeSTcde0dp0PtB/FTWKh8qMg5MruMsS9jg5ZzWpvqvW3JApdTfUbNLt2fM98e/o6sLZZDcj3o7Ci1XxjZc7dJAy854xykzCaKy6Tm4Qj8jf/F9Fw2/CM3ZAaGhoaGu4q7vINiY+l5veOVh3VqtcMuRRJsk1R/insuJQBkwUAcHucB6Sln8Gp3DfGeXwkN3gnVz32llJaTsrdbPoz6HK/eSkxT4GrmflW/N6Fra9P3yhVnQD4beCiYbxkMVbNXKuVip/0NlkBpEkurhyLxpbnfTCtsts4+kXC3gQFbh+oi62FRPnIX2NV46Ks0gCcmY14FXFhZXv8KGaT6lRGz+3648r8825y8+2phhNK/RsehxWqzFKTaNIqBUnPSvtwvPj7fOu4+mQd0jJep8pPMnpJNgqza8cCPBSSxIUN4u6haSVsXbIPKCGkbnKHZa6GHnrFdr+XqryCa+WbS81DfO6RuMnVbfZT1MLow07mW9N0AGBwAC+hv3Jcg5oiI5q2hSNVQmNx8bEvocCZ60g2Jnc6rS2Wl8KWsrCzVZSt1fp0LGEcdvDOBmV8IflJmMzLNVM11XEu1ZJIKCuwqnqAlSACv1DzrSBaUTFqZ557VNa4Xc69LTpPFYSTrZKppqlnqZkgrMlbtTwXVwJg+MDlTv1kxr7jMjPql984P0EtQ0T81pJQKGOpff50cZPmX9bP076UrwR3+YbU0NDQ0PAMod2QGhoaGhpuBe7yDckCSJIcV5kb7+c0GpMl3eRofKEhKS5URuPK5lshlcQdYADdxtWFv0SwrkwOUMsBUjca6cFSQ8fBuAhmlfafeP7OU5ChIi1jvEcPF81ew3gY+ooqmxEXxpC4SfpPvLPiRhZoBGB27VggnO+3WuMkoGhR6vLNS7HbuLBz0zqnXmfX5ljiR2rJmcqtsYXHZWZXFGdSLS9kCbN+7yodal1UaLe6L509DktTDbCODhUNp0rhUVwpw1NjVSWChiSySWFnXTq+kFhjvpJUdKtU/QKJUPq6jivjObklTtGEK0WSeKX9J57mKhTZBTuWF+737uJjr70ZzipvRh7s09eyej2sk9VkoiKjEIy734tksfze0UclUaZ15s6/m6wIFiUnHAX1GpeJXXHz0kkZ0W3cfOPNFJXEsouKZYdM481Lid1rwxddrV7PsWM/k14bX0jMfv2N3mA7q1iDcUc52ChIErK49hUIOq1z6Rka4HT3e5FUOWtB4UzhIkm6jSPzJqWge7XK8VoAdFeB39DDUvcP1E1u/zBr0JuXoi/fNVKRxvsF1PiixQcnvQ9fbLj9uMs3pIaGhoaGZwjthtTQ0NDQcCtwl29I843vNo40WlyYyOc4KMkKBsPk4TdX8pRU1ULLrDtOSdJhmSWCVE/JxYEGpTQr7JyLsJwhbxYlFvymmYP8TC2fU5R4woCf3Gn2iAslVRV2wqAjtorEWuFzskTJHkXCpBo0Dfm4MukgRXdPHhTqLMJcUOvEV25eSiT6NDAv2a6dHCBptOxLYlAhAOdbcaNYhxSTUw0c4oWHndRXUDSHaRkpd6zNK2YUZRQNihARhQHLQ6ypTpQCImSJZq/hGKEWuu40WjEkC0Gf1tmNEnau0q04M4pRNBgXmWI2u/CIwzJPa51dO6MxoxG59KvVj/NKFx9I6epMDpaaQzK3dHeRYbv/M7vqtIxUG+Yh1mroUriy4zJbro+FJ52koXUKuVE4diwVLxGzrcudMkGY3B0JKyvNnmS2F75IkIirAzR8YDYsOvCoT5tdO1J/861jX7nJhZ2jv+3iyqUh5y5fXDHuqFRk74psNUrtbQpBKRllf1YiF8C0Nl8Rf/gis7ji0ohWHor/DDtTVNoXs0QcMd47d3pYGjELgFXe/d4Vk9Nv/v/hqeAmzb6sn6d9KV8J7vINqaGhoaHhGcJdviHRtMFVCwBW09Ggx2Web7z2ifu99tdR6oOnLUSCeTsYAcDdcgDcRf/s9+N4afvzfKA+rrKf5OJjj2BVVuuagHmj7iy+gYsMADcvJYaBAqcHW+72p2Ld4KqlVPk0mwijGfpPPJ+Luyt7AuR+PlddfPDMnfIyGTBKc0n1UaE8PFIQUSt78lG3Pm7Ptm5cl/XEZJajuNCw9RadmU6yAolC/78tLKKrRVprDiy1DEwooNOI4bbq1e+d6T6Kf8uNwkvgsgafC4AwXxGKFqBeVyp5nTUhwu8dlwusLMW6TXGhuRRkSr0e1ok77XRQWbnVJACmdTajUpTdQ2U/2A7/teNqj3oBursApE4/+Zey+FWgiKZmOpS+BdfQ06WFfdTYBQD9J545oWYMirYepfmG/WmFr4Ll/7LMcY3W5WKRS2HqLNham2BDZileWEVXVa/TZTyucpmc0Y1CPcthnWZbp0H3r1hB3v0DZSJqt+GKynIctIT/usmFnSBklvXinAQw37qwE8pb+A0KOxe2nt+sygrUPAgt9brmW8m9zrflyxKslDC76LTsTiJRitEQ7KiW1PBM4C7fkBoaGhoaniG0G1JDQ0NDw63A3b8hMdWR9BF9M3yRMScXH4diNNEcEJcJwQgTMicXV+g2p2I/AEgaGI8EADiuMrNYUqdPXomILuxktrdqNCRnDmurckSehNE+ADTo8EjqnjM5JaDueAt5D+YV5eFU+5xkzvhC4lnqxvv4gikX3FS3c5W7yuSLyE3Nrhk4lGtqS1zkUrAHAErZb/DaWRpHvfYbCxOywJshA6hyCdqzcq/FRaRucmHrWVoJda+705rmQg0FP1srr9dIU1g+jZWMIjtUyyyZMKH7HInHNzCTBqWkNzuEeak4C0sFkLs8u3a8Lst/iuCgzLcCANGRWfKjkBGtaVKcXRLhkhFuKEwjGdoc0G/kyYPMKWe2nujIwUo0b5lt+Ec5rJP2icN0HJQpTWQCq4uOopjaBkmWK8rLOaxTNczVlFgp/c/ZXr1W41pr8hA1IzVeFqUEe5mQWmleMs9UkbiI8YVEHQ0JW4ZasQfiQudXszru/NYwr6ia5wC4hMrU8Yo4e2v5LnLajOtNnTLEC2eloZjuavSmVw0625tJ7lxk8dTRRA1fjLt/Q2poaGhoeCbQbkgNDQ0NDbcCd/mGVPVv9HBon+IiS5KLjz1LmOdemUkD4KRuio4kD+N5bi5xWIKB1vXIdBQxfrhSeXGZrHT01qdeWYWoclkAcpcZqm3JN6Vc0O5hrlIxP0pcJisMsz+lYvMqzpkZElka9N5f+lyINXqSGBEk0axOCLmI38BTkEJEyb+ZbzzTcXAWXl6tIW6yotfGCC1Vg2nh6CjiiSzlKKByhuQba/EhAG6S+caT5mICUOXWaIghj5d7Tb3WuBd2F/0l09rKPoWdK6WVTnO4OoFYVD53SpsXtXOm9Ot4tBrCZC4oq3UdMd/4uNDPXs0SJQ6nYBu+zar7nMpWIQ+ROUwSrd4PmSI2w4+som06z7gwXouiR1RuNol6I+gQHXV0WuLqnQV+a2k8jXEo/h6rLE79pCQZL/PqfTm5qaJU0jINOS7UjZKWkQRgGpz8buUAACAASURBVBhfZJFXfhtgJCE4gf0oOVhHVUq5grnp5GBJ4ZIhDFvPYeWUI3noJhkeCYDjYKFKbPDNS7FeBYxltaxxFKcRBXjq1U9W7p2ztAgmmRxPk59eXDmeYr7xRS96K9K+G74Yd/mG1NDQ0NDwDOEu35BmW3dcZYnCXWIuL1x5Yj1f8Ui0Ajn0KgGgRXxa57jINUSARXH4tJu7fFjaxjJ32gE898iFrc/FPVN3kn2xZdh6IlklWXp3atzAbwRQji8k7ROFBrNrN9s6v3e1mg6bsfhV+OzVzEUVa8xIFC6tPhdS4JXBneqVfQJW0Nk7SeISczlt259rJrMTXTtYiVgwC4CprzizvvPp2BUji/apXjgvlqYQrp+4PphdOz/ZtfOVm0vlgz+1BpRs1EvgEs1SYhNQDEMWppkk7IT76qW1lrZ5WGpVXlB0QDkGl30abA2NEvoQF+oS6l7639wPr/VMAdSgXlah5YD2V660+WyBGxioasVk2ZNh584vGTjV7mJTu42tL+NCU2ezlD2chswCx5Lk4sr5vSuzjiOS/9N/bvIQLmQP68SFEVtCcxhLA/P9fpS0jO7MBVXWkRa44EapQas1DaFWCrZs3y1nuHBpmIY8rdWNEupaf8if/n5ijStm11JRwkNVEUrNp5BSLit3jOqAm+RoqRxFfVO+nlwq5U7d5J48yC6iv3LHVebargooni6aqOGLcZdvSA0NDQ0NzxDaDamhoaGh4VbgLt+QjstsVqHouCvLrBqajSotAMBPmF274ng4lUEikVIrr1RzhljJosysFG50S5T9K4n7rtWKQU4s9br4lS8xNifqoPJFz/11QImnLFEoxquwzbBqzZb0yhrnqdeby1yPpn3iGbnBXm1SiI4UEFk+9eoi+k88gLhMAA7LfHFl18tt+eMqk4BCLXjjLV/nNyJYuL2sXnPh9GT0NLVgEcks5V5zb6Wh+P5U5CS5pPv0Gwsfoj2rRgSdp5q6USodmoZMx0yp7a3eMkld6tVNjkTNxZWZVMLW505zsGhaXkWt2h6X6bBOFx8H9WoZuAEu2hCfJfEI2Tn2zPhCUq8y+poIhVJ4W4OyIH1c5Jo6SskJCSs3OUps+DrJruqBo/zh5qXk9271fwUAh3Wa7YtfLTqOEXUfN5c5LhPptTrKKP6zel4mzyKygL2wdlHNGaoOMF5pGuy7Q20CR99PRjXzKtwkjNqqJbjCXpj3aseJwtnLPglbzwskURkXJZa3Vze53/mZcNow0Jb8W9g5N5pUx28DmcCLK2H9rfpVKu9BYa1tJo+XuZVBerZwl29IDQ0NDQ3PENoNqaGhoaHhVuCO35Du/0z9KN1VIO1ACw5AFsuEajXDm7QD1/6pVyasSJTpMlITRU5Mg6Yhh633oxytIHd2k1V05u/8pSZb5073DzPpptlennvkqLY6rNN84+dbGS8zAO0TaxqxJAyJpnt/6fnO2bb4gYIyY0Yio3SK3yi6Yn/JAJicTSsGiRejX4L6SRj3gpD7Kwdg/zADJ0lbLdJTa3ITdI3UfHQUsxTNQ4zAIUvZf+J19Gxnf+VqeR72HsvbUOrGoz15kLuNS0O+uTTGrMq9KjlDgvSwLBV9oqsB0rnLZ9ne4kbpr5xEefIgnyri9KnW7dZSVf08WubmpVh7gCSkBvjpc/E5lPNxnsy25sSqqjOCYrabl9LFldU0cvvANlgudQSAtIyza2sbVY4UglpXF6Xip68Z75Q9YJSyCzuppdAZlI6QyUnWTgNwXDEFXGuOFDuz30jutb9yHA6ETH6YrCzZPxdBrx7zk0hm1tjsbuP8KPOt+XtqsjgT7mlpkiTTZZQzexCiI69rXqWd/RPA9Ws2i7qNS72ykhmZWxNqDplevZtLo0CdKSFtZlau0rxQxSHHlKxb4kMa0+zL+nnal/KV4I7fkBoaGhoanhXc5RuSJHn8TdGgx1VefGBb5YwP4H44DRPqdby0B8n+yvZ405BzOO2iAzisk9uHusHuLZjA9sYB0FgDgJYdOSvYU83tYSfTOh+Wtidsi5XLfF4nqRoyWMFz9zDzMZwxECwpxKO5iPEy8/j9J74a3bl1zE3j3OXDOpk/P9qfuMjInbp9uHkpSWRsqxlK/FgTH4CilTCP0ZmigT1DAQUXVbnLXD+x+iqXSn7vWOSUniFaskwmcFZ7KXd5fCEhWNVU9coxuvjYs35oLS7FEjg0S3EQGRLRbWjukdleNOh4yWqkZ6VCozusU602C2C+FT5Kc0rAqvFak1gA97DMOYBaFfqoWFuI5h5ejp4XPB3FRcjo3ST7h5b9WjQUtqasTWI0g2UQBHRXoYZfsESQSWNGkSR+Oo1+svWl5F45dlW6cvFxoC2JxiPpk0Tpr7iEypTb7F9JAOKg3UZsrVliSasbj/PNjcI3+72rq0m/d3HQ1GscLKAh7MQyPoK53NRrLcdMexBKvi3MdYTZ3vQpjA/mEoeTk0IhDVY8iRocK1RW9A5sIb8vdWbaLyEzzEKD8lt/S8JVG74Yd/mG1NDQ0NDwDKHdkBoaGhoabgXu8g2J5glGxXAjtFYBR3TVh2RkVND5xnNXltVoWF3bjRK2ngGUucslA0ZSb1GYpCw0gMYav3e5y67mA9Els0xWrTmASSq11NBhmclcpSGzVbQxXXzsAcsAJSdWN7FJi/m9o6SC1N+0zqQ1qG6ox0HIto1MWcHoK+ty8vdEyOiZvwmAvBZpFl4F7Uo09DD5BiVvptZcr5Wf+FmUguJ1M58HL3Yly2GiRqBmX7p9qDwYWS9SNyi1ecJO+itnNa5KLKmL0D6RvTwuc/as7mPaBKo2GDaDkCuPlDtNHVClDaNxnqx4xFrvjKDVU2n5XNUovF46tGr7c5enB4fDOtVddKYfFdoTqGSU/xy7y6ZW0xKKHoHTNfU6u3bjpU0/ajdyl+dbOT+O3zvGv9ZaQbk/2/+PRRsyWj2kuNDd7yV+dvErb5NhFL6BF3ueWMrwKkoM+OaSwyTzrViS0+j7jc1PlPReWB0mBxQqcohulJvLPNuf8roA6PJIVRFK3fHU6XGZj4OxhczkLQlYKFNRsYisNE/xjt8auz7fOmbmnqtOniKmFL6sn6d9KV8J7vINqaGhoaHhGUK7ITU0NDQ03Arc5RsSmRbG81ByxrrLqVe6iM6FN4yc4e+p1AuPC6UCis4PAIiWSeNK+ZaabcNaR1ZjptcajcxIGJIJ/DksrTqRmxzlRjVbmizZbEtS61Q0veZAV0MMSrgyAA1wo9y8FNOQaSupJh5Ex1fI59T66FqqPvMVGkcoCasBNsztltGfd6kkScuofULIx2UutcaVydNk1WpIs9me9gwRzxpQ84dqjXZT9CWZbd3wgQWK1zOmZZQk3VUgRxcXelgqE4n4KZzVi+I/mQZUgp8ldajvtBGJNiK1ewHUKu83LyXWemdTK8NZewBVL7d1RaRHc5gNGS8qDZmsV+4y+cBqLbJmjL4QbidpJbnWi+LcYgRO7iyD3MjYoGHnEDLZP7cPzEOymTxaY6hCpBtsXJdUnj15M8lDPHet7R9mI/2GTDOQdU7AxceBPXNcmg9pvpVqeKIw8skDizN3k+xfSZWALR2OsGP0Pg7rlHuV0VMxeByUQlDr3iKHKwWcmCGk5MBn1+484shYZZrzoiA65rjnXtMykvglkU4WGg23Hnf5htTQ0NDQ8AzhLt+QuAF7XOWw9XxGQ3kaZU3SupvKujj033D31Ywjo0WOUo/ABQp97PVJ7bQpHZT+G4TMx0n6Qmp7aLn4nM2osx8AYeuZgyARx2VOXSnYWuIy+Wic+1M5otSfVAO5V+nTKYNg+s2qPL4EK9SH9NxpLUpLfz4v3xIfvCK6qmuoTh3u/yO685UTXx8+cKm3sICSiyF10VDtKWxAt3H1+Zdrphywf5iro8jEEdHZY3WXqa1AqV1kWbTX7nwRw0d+S9gMiuL1oXPISu4Gq73LtIsalYvqYuEpimCk5tu6yS1+FRizmwPC/pTAC2C+tWxZWxT2ydZhIVt13WoUK5kXPBQ7n8tlNo9OtVpT1U2SPX9xYef8KId14uhwGYS6dIsm30jLeHg4cV656ZRMwTekXhHdbOvqsOLz2QemvOiTBh1fSJSf1LOMl3m2F77IaVClLtXxU1Mt3CTzrYuLknO6iNRBUOvhzsNPQ+aiyjQLyToHwHwructxkdkk5rpaUO+Q05CrWqfWsrIUlb5UV/K3Q9QQw5f187Qv5SvB3byqhoaGhn+yeOONN/jLd77znddff/3NN9/86U9/eu/evbfeemu5XD7Vpv0daDekhoaGhruDDz/8cLlcvvXWW/zne++999FHH73zzjs//vGP33777T/+4z9+us37Ytxlyk4Dhg+Mouk2brqMxR+Tc5fTkMkaAXCTcwlV1HBc5fnGIzoXYUaZQp5oQNhaVilpHFqUcLaVLaOnk0OizPbIXZZCYpCcOW+k5RjZDj+6DWUOelinqp5AydCcm4IAAJjLWTN43ChqLJMj54ay927OpAQ/yrTObnK0KNG9ZFatXlkjqhbIqVVt6LOZXbtqZCkk3inQiBvmu99LYecqCXMuyqif4mFZtIkXQjqL3AsJvfGFRBWJemUdI+7GFzWEzjeelGnYCTfJ6TuhMaVkjypJMPNsrTIpRER3HpbKYdI+0TDELFqUbfBqXjEXVwQLULG1h6XK2cUeB9ZhKjmwpAe9Xvz13EWQKGYYbvUz+WIJqlYk9gmFDBJx8bF3o4SdO6wT23BcZZKi843XPsVFriOVO40LJakFQKNUzQv56tleavwSvXTAyZ/EVFMqJtwobnKUHlCT4ierQqR9oj0IQJXJFG0L/l/23iZGjiNNG3vfiMjKJLOGSbtsNUyKLUACZoAVsbf5jKGOuogHw4AW2N4jDVj6vsMHaA/SxcbOYedkcC4CfFhICw8vPugiw/BBuszFALnAHgx8BrnADLAChhQJN71ldEqV7MyqiHh9eN6IKkqzM4MdaqpJxYOG0N3sysqMzFJmPPH8fPvs10uz1sNh9iyet6IbvLWLkHKAnsX4u1WqpW+EiHZ7vzLH6Dv9jKSPEiOaCHYoXJ9QZ5yd6KD/9z/+7/j67rbw4MGDCxcu3Lx585NPPiGi27dvv/XWW0R0dHR07969f/P7/mlQZkgFBQUFfyL8l//zf/ustvCv3ZPu3bv31VdfXb9+/bPPPrt//z4RZZruwYMHf+S7f9coN6SCgoKC5x6ffPLJZ5999vrrr2dS7tq1az/+8Y//8i//Mv/NlStX9rR3fyheZMqOiFavhljHeml2E2jQb53yeASzflAQWQRlJyIiPxd0e6OnGZEtxpPvAjchZ1ensBltykGYDVReq1e9mYyM2l/ePLY5CDzL88CwgcSYFiASVfuEv1HuDoTbyFA0bS5qkMxsacHyzY4raYImDCWuBl4ZO5h1Fzdd3BKGc58FZmCQwJ80S6V3QrMtCuLAfh5RK4VQGTQ27Xqt3IrFyXR5jfc1E1cDEcw6O8q66LJZRxV38KPkMYE+sF6aTRfNpLFA+VjwdjCK5dGmnTxpWJRgICOi2HqwnenUa1ANnEaqLWxUdIfDCY3EOuJNOTBISFi+8C7oH9pWQAV1j9mRY+uRxLPpYqY3EV+Ni+T0Ujj/0Gj/EFHKq5asTDMpRR4BUU8OPRFNBz4rMFXPGXjTRR7trFdrDqhj1UAS8WjdsqqXJsfVm4mVOoMEsQmSco9QWH56KcCF5uegN5XyhQ8v2jTI3nDgTNYRUTXQpouh87GO2UOGgPlYy7qTfB0ipCrrM3OFPLqO7GBsqjbPSd6xjrOlzb46Hq0ZnN0pvtIP7GDSPm8L1FNX1jaSf+9YB/usvr6x5aOjo1u3bn3wwQcff/zxnTt3iKjv+ytXrhweHt6+fZuI7t69e/ZvSGWGVFBQUPDi4Cc/+clPf/rTn/zkJ/fu3XvnnXeuX79+48aNmzdv3rt37/3339/33v0enImnhu8IaPdhz77Vjlf8BuvJ7X277rCEy9nZ4xcbRILmGdVwWVJzUkT0g/psRktE5x8yBw615MdwOxj25Odbk//5h6Y+dshxQPClOodqfQYEcmIpHqhT/SttLkY8uSMEAZZ1OKXM4JolR6c5p34OJ7/JBUV5T4godJ7S4jkHFr817ePhEUqN4bLgodWOOgXBSLJnTUCwmlmJ6ATdmhU9ZCd5Hgb3fjZspX5eLTfKAayU9BF2MLs+mO0qtNeRwaagU9DB6aIZtYFXfUsuwp6lD8jewDpWnWhSqluxn0fEcGRJCJxqfp6LiwwMMbH1SI6IjqoTI1byHDTWEQvvnEMELurvMWGteoPsADT3jC8FzAifXI55irBbMYWpcDaubcM7mm12hk5eO59jKdZdrPptOClGEhM43wW8aQpj1fkckSb5Vic56UMoFV9hohwaSVEXBpNyqCpUOGAl1jLrVcUTmi21oMflNGZCc0BGRo8UETWPLd4U+g5cxjg0WOvyyOB0sOen0xlUTAG1RZ45hTa6ZKpD3gcCStZdTNEP35ekhqtXr3766advvPHGhx9+eP36dSK6desWfrx69eq+9+73oMyQCgoKCl40XLt27Xf8eGbxIs+QCgoKCgqeI7zINyRkisyWFuvziCiF/0aa8ORyxGotpQXY3XARXbj2W18FUltSRTe73oqj0wPKS+i5F0fThpy6ZzYtrRcBVB4lbxAl8oE9kdNAFF2W7zxcIKnTSKu7YUDB96ERMzFsMbEROxg/VxcOwmTdSmNet1wW0WxpVQFhs3GHwXrlJXo0SSPUB7XuWGOHlwujByYEmg4sLGdnEq0cjjoPAt4X9UKnlzyOESyfDoXTDirjaXcpG2XYEEGIlXOPXHbYaGyr1bDaJ5dj8xjpUIwwWY2OnUzuzCbNiuX1IoTOKw3YCNQZemFY4cDVsNV6EBEYUSKa9SlzCKVEk8F1pU3nYLQGRw6F9MbP9epaLwL4IjOx69NatItEVPUmNyf5xeYb6auUJBug/jQ7xxF4SFCFduRNF5E/C2MTJSYwmXJk1nM1ULpEUdPO7DkXeuEo2Mm5R5ZchA4i9W+R75KxKY+kymQkxxqlNi81MOHQVKTQhRzhaie0szN7Hl8Kma9WktDKrlIGjB9Sd9kzeG8U26uWpNG2clyip5e0SevJ5Yg03m2ekJN4NsigtbfP6mvfh/Kd4EW+IRUUFBQUPEcoN6SCgoKCgjOBF/2GlEwVCEWef2ERPKNeDU+ENh0lYdj2DiHE+k/tVt6TaZzdYhVErYBDQMwJ2sop2SDcykwHXprgu5B6tTnnFaFbiIjIa2IQhGrZO0I7ESzgc0CFofGFaLdLSWVU0JKtFwGmE7Xj1JFHOx34zcWYS69BY+YEceQPVSdm18nBni/82mLLcYckADPp5xGkkLqjRm4eW6Qftb8xWe4VkoUr+28y1O7jOboUz1xHbWnyyjhJE8zEuSFerMCqBcUXJGfjS4GIIJwDB7UbDW4H4+cRoUFq6lKpWKJwnUijlTlupSQhESE7h5TUfep0YAzhBkNgj9JoTyvowB0RaK6R1UCzq21zZAdDLoJFBP0LuR30gZlhQzYVftTiK6LoCGO+XgRxEnAqw7afiT2PB/H0IKaIJlI2GO4uu2XhxPN4oApA4wmJPmBl7WBmSyRmba1Lef9xGeStgZ3DgSBPHRebGTnUsu52cqRODD4+VW98F5BRBFIa51ET9A82lKLZbe809skKRLPwRal5K1VtbS7qVQQx3i5zW3CW8aLfkAoKCgoKnhOUG1JBQUFBwZnAC35D0rjiiacDbyb++s/WEKQRUWy9W5lYx/MPTeptI7cyiZpDNbJxAyfqgCEuwpZBzW1FX3Bith651whKcb0F/6AlZk5iLVvZ3qjBJzza+ReOiMxkqt5Iaraul4YDz7+wUKapkTY5ItkJEl92iaBE6ylnuM0XB1fmIlJ/thK1HY4l1hIbSe5O5VXsYIbLwjt9d0SkZJoVcRqehP+GRqaFGnufXI7QdJmR0YqNIwVjBpdxrIVHa3unPXiJC4XmDd/n1B8wVG5lEFKOf1WzbROUtLECzRsR4WCTVEyr3lRXBsI28TyIl2anbfdf/9Ab1UOaXZ9p5gzN4EDHgefUbHVvNAMp2ZZxRNOBp+QOhsYPlxb8p7M+cYNOcpx5riuU1AmJ8cnZ7VVvcooSEZ1e8uNLAeca9tKUiiRQ8UG9hsHE20FniMCerTN3tLGOiHrKnx2woCDBlJtNZ0rZ41Qvif3EabKDQVQSfpmJ7ugI6fLIJZoOPDeh6s16ESC2hDBvh2oWOzJUhcqsOqoGzqFTlFhcKBgx2uypOjHtQ571rC85Mbv0+x6xCfZZfe37UL4TvOA3pIKCgoKC5wUv8g0pawfGlwK5iEctcVQvjTSBvNlcjOx59WrAQ1ZsvZ/HWGuWiTgyI48HEcE5sZFNF3VRN9luQhujo7zuTWm1FguweeGXKC1cE4VG4GeqBoZ7ww4mzyfWBxvMIbQYycrq1TD/YttCva0p8jo18XNBiiXtrJBLE7LLKo1GjsLUnYcQA4U0u4UxWBUnIkzg8mRIs3acTqGw4Ixn/1w4jeCc5thgpnj+oYG4ADNRnQM5jYVFYCh6nvLAYk+0dhrTo9EaJIqOFhO4WW+qE6ORrF4nuNWAyYSmsvJoYfoJbbQj5yfu5hjWH71CUK1kB0MrR0m6goNCgT0hQMgKwp9wLHn3Yi12MDkwlwPyVQWnyYyMiZo0Yba0efKaA5M2LeX8Gy3T0jERjBtOE06fONWA+LmERs49chAF0I7DCXaxPK2npMLAdnK5OyZkmpwUGD3r6FwHf7DpYvPYchOgoIHSJE8yVBeTkoFgNsLMhpLg5fRw7VZGM6KcTlVjI0hgyidXRpuTgXD28aPOI0mNd8hPQvAV0oCyTgFqIE3kShlL60X46odh3QnUK+tFwDy44IzjRb4hFRQUFBQ8Ryg3pIKCgoKCM4EX+Yb0g39OfoWJyRvk94gVrLq7XpdwYQZKxheiHXMGgZ/xRERuxbmtGV4QccRNsCNnAopSzQ8lBg//igVn2zuEoOhCdys5p1nbmmshoubYIEE8KAsnwytarhNajbImFN6gSb2OkD9gz88dG/LG9i63mLveYr0aC+mbViOOlBVsgu1djpRmnxert+vGWM2m3WZup5nfs6WFIwp/kBOS8ELsOYjB4ZUI7wiPFjEzeainRcyp4RAREJGZTGw9BtZOWjQe6wgOFnYraUIO49m0EtrIqT8JcddmMuj51t0IPB5Ezb1OjFCidjXOPEclKVeZhnFrHnIxtLF5bHNVT2ZrMQh+LuCdwBKTiwhBD424XrOucS2tFwFsJK1czpRCmhS5aEbWIvNjjdzG4GPPTy/59SKonyzRfX4um1bGgwgT0qaLsZEqM6Ke2VNoo1lWIDztyLGO7MkMDuRnJmzXXZTR4qQQUUw5SVtjXGDQwptOuTLNC8e/OtFzlALUwdetFwH8IcKNwGSaydjeUWq7FyfNY2Ugtx/J5DfCxwQKFLDEeEdx4pZV3gGcwfMPVZkSdrx9e4T39ll97ftQvhO8yDekgoKCgoLnCOWGVFBQUFBwJvAi35C++pESKdBHgaAAe2YGBwoCmiIebUyN3ZT8N7mhHPlAsFBUJwaxwWjyhtSNR6seESdZ0CWpoxqaPeMJhXKaD+QJ7Ic0AUScvsQb34oZOTRSL7m9b11vcxYRJW1S5ug2XTSTOb3km2OtUV93cv6+U+FW6+EBUlZk2EZcE9H4Uoit55Qynlk+IkJaT9Yvzb9waHDPBeTQla27OF1ekzdme9Q06814EJNphjR+JqgIbSfRRxsUzcjYz1yf6FaczTrYpXUXOTAIK0psTNUbCPAQsI3DFEdmcJmRS0Yr/S/0clk3SMnhpEo8K6nhm81ksheKvIm1mBEljRq2jbAi5YGdNI8tdGhmcLlbD1QheSOepdEsaniwiCi0UZqAy6m9b4mo6g2oNvIG1yTOwrgQ41USid3DHorTbOycg57PYGhj1RtpQnVichhPGnkNrIqN5vSA6kwEGlUnpr1vYYHCGTSTyQ62LPgEO50PBwO15TaT2UvJcCuxjsg3kp3gbVzAEDTWS1MvzblHlohQZWkm41bsepu657Wpfba0Ora7SMFU2TIojpBU1BwbORtp3wW/G8/TDenmzZtvv/32jRs3+r7Pv/z444/ffvvtt99+++7du3vct4KCgoKCPxLPzQ3pzp07X3755aeffnr9+vWPPvoIv7x79+7du3c//fTTv/3bv/3ss8++8RKENuIREpIEbR93+rSLv4GtZNvCkh733MpsLkZ9UnYRtdmU112xRDza7ar4yJKmXHlTeN7XyU2yl8OyQ3MfGiFvpAmz3mDCpE6XRtjzuqMnl+Os17V0PBoT5ny1xDrGRmZLC7PLk0OPLFeEaRKeiL0hF9vfGMwhdDueslSBRyujlSZgUpJdL5qwOerT97oTMzKW3xGyGTqPP2Z9FBVxKvfYtFKdGEw4IP1A0/mFX5m8D5RN+ESznpHgENoIe38ew/kXDtoBeMJcbyFFQdFRdGQHffzPyRqUntwxLcakE1vL4oWsg7A73ppNF2fLreIAWhiEilLuJXIRfef6G6d5E+Ri7lw3I4fOZ8uRvungcKngLGNYEKgKOQke5JHOYDxh6oy8WrdiTNDhGyNMrZzWX21rflxkT1VvcKFymrvraLf+3DGLk9B5zDVxcdoUeouM2ty8dXqA2Fya9QYdRbDiwQ6Fk4hgBdiDQAPAUxXrKFbmXzhxUp0YXMw7Ljf9LORPRJ5ejy+F00v+9FJAtxP0FOtFwBYgt+HAbpWIjZBlIFlyQpRMS9A7bLoY2jgexKx92C+8N8/qa9+H8p3guTmq27dvv/XWW0R0dHR07949/PKzzz67du3anTt3iOiDDz7Y5/4VFBQUFPxxeJ6I1a7r8M2Dt/FAhwAAIABJREFUBw/yLz/66KO33nrryy+/fPnll79xT6o//BjfNETxxr//k+1nQUHBGUH+n0DBc4Hn6YaUceXKlfz9u+++e3R0REQ//vGPv3FD2vyHd5HsEhthr8YaqBtgLap6A6lCaGOs0yI8aRrK5mKKIrVERPAJoWcl1kSk7EFoBPk9diS3rJ4iKFwU0iQbyBlcb30X0F1Eo82RozktVKz4OagMCg2xJwgEEJQZGjUJhYbIRR4MWCC8lxmcn0e3MrH1s+OKPfuOeLTDK3F2XKHoOjc6Q1ygRAeZ0GjTOQgxjQ5KObDYeTsY1DuBDIy1zJZ2qpX+ao7N6aWQUlA11iU24IWMOPr6NU3PBG3V3renB1EcTYuIcyROy3LMyL6LNPHpQbL4eBInboW+eYadJbRbJYg0IZKFEwh0Gda0KS1xK9fkDXJFdZV+6TZEaDEXJzjj5KIZq0wHIV+K01BALqHJSaPFNbBGxE6t7GUmykIbzz1yYy1uxdEpPVj1Zn2wMb3Dy+EPAwf1n92jf/l3cV3n95LQSDr1auJJOb/Kd2l6KdksosG1ihRaDqwhramlCU4jN1q/2JC3+HvbO9CMs8cWNVo4j663iJSNjtr7djgMNPe0chgxSr40JRIbyTwkBx4XkmQdRMTpo6cDqFxu63m0uBTPPXLQiQhalJIKRpognn2KF5otrZ9LrKOhFALrWdnjJKPIpiUi8v/9v/ddwGVfbk5nH88NZXd4eHj79m0iunv3br4hHR4efvXVV0TU9/2FCxf2uX8FBQUFBX8cnpsZ0tHR0Y0bN27evHnv3r3333//zp07H3300Ycffvjee++dnJz8wz/8w/vvv7/vfSwoKCgo+LfjubkhEdGtW7fu3Lnz7rvvYjHp2rVr3/7lLpCLY3ojniAhC02IRGJZJmbP4EMyOcBelXWUMoZB+4gT5JpIE4SIvQqKZj2vO4m1LP4Tn/yI2bNfeJToBCfn77snr64J3dW9gakChJ4dWZzJXTLNYzu+FMBlaaBOE2aPZ+suznoDNk+a4ANDHKghQzDHYM8Hhzxm0B2JAhK8kEYbHScTEsRaRqzMlnY68MnRQrH1blmJ5fMPzekBRErKKIImAuO0a9CBFwT/NC1izv5JSdVqjaKkHyMXiTQt6cnlSETVidlcjBCSUa0uk0R7kltx6CIUXDlSnb1m/ChQ/u21n7saeFogGdoSCdVU9Qbl6Lvd8+yJLW9akSZIcJqxbQVb21KLjkDbxlrYEY+2OTZPDj0SiYQMunxA1VLurHKSmclpEc2kuTUYCj8X8ubcsdm05OeR7VZ19i//LmIHzGRwhHrUjYCCQ3ART/qx5SbIpIJAeeroGNyyWAmtmInNaKaFzL9wGHYi2qYQ1eRWJnRkJpOpYwDEdfPYTou4adlMHBo2gZOhSjadmoE0VSiwGVxsPQ/GeIqBQZC63sY2uqUyhNvIfG9gVPJd2LR6FLlKCmo6+LpC4sBDY0D0gQkEw4xLZdOJWGke29PDNc6IOLEj+47y4O8d8QVVxz0rPE83JEo3oT/klwUFBQUFzxde5Ns1loux1qqmkMFhiXu3g5WSN2LWGxO0hNSObEaeoT3TpaX10SKAFdqEUKsn6f97nfxcUH+ZNzgeRLes5l84M6lkgD25FVe98XOpTtDKw663eIgmLTaNbsVmcHCqT4vYHBs8kOIhOq/Vp34dSu2lelwc1GcT25wYK3haJCIYfRCgOV1e28FUvWaY4i9nS/vk8o4H3kV4cZLtRiNr2fOFX9vsfpcmFaGmV8EWA6fL5mLUTp3BYeUfLaJiZXMxsqfp8jp0Pj1rb0/fpkMgLGX7Du0mDgRGbG6uaDIjh1rYa/QGZpx+rkmpZmQ7mOx52p0wiRWMDGYnGLF8KnXZ3AqCMPK50FFyMXcX2cFgoLSrKfnVtgGsyNLt7elBxDwPp4DyI7zf5ilg48hvnQ68Wo68Bq0ikjWb22IdbXLXQUviu5DtUOLEz+X0QPcBgoWcaxAaYfiBYJsLHOtt3zGGFGW7P/inGRHt9G8lE56GU6h3Ldbo6NIUY98F2LDQOkapZJmSFQkmJ4REoNQK74I03lw6pWcrzYazd5A9hUZo7rG3GEPsyXoRQFpsczcKzjBe5BtSQUFBQcFzhHJDKigoKCg4E3iRb0jseba0aiJxEQmSIASwaqoVzokjmhYRTggwAOJkfClo9oyLqXbagAyhJHzQRfs6chNktLAQ6ZLsYoNuckJ2UaobZ0+bi3H+G4P1f+TcZHlFdJQzQIno9FIgIjM4lM3kwhg07sCgg/2HOSaHhxKpfoE0IUliI+tOM4RynYw6V0aNE0WHTUx5SETkuzDrtwTL16/F5rGtevP1a3FbfeQNEbmVcnFmcLZ3P/hnI05sImcAceIXG8qU1E5PeTodDNaIUl87snnQye16i/NIOb3Jsxlcii/S/cdu2MHE1ieOyMSkYXErJherE+O7MDuuUDE+LeJsaTFcs6XVGq1vLYbn6iO4XrRlB/xkYoZBflIOgR20JH5bAe60kCl0Pja6z25lsAPsuTpJkUXjtvYmNukKRBnV0uIyJhfNZMhF0FMI7CEibgLITPSIxzpqrk9qe8JVbSYObeS+wu7l3CYEFFGSVIB1XL2qFUfgJ7HbeFVWvuBU4rOWLVmgAbchW06lHyB78zW8uRh3U2JBVxKRHRmNYuI02BepQgh5wlUko8XnQunr3bjklC20d0gwz+pr34fyneDFPKqCgoKCgucOe1bZ3bx588svv7x27RrSFgoKCgoKvrfY8wzpgw8+eOedd+7evfvmm2/+zd/8zbOtkMj5N+qn8Rxr8YsN4mHESkx5OUj7Bpvheps1eCmw2WQSJrZ+l8PRyHCQDJ4zM4COcwiiiAhk3XoRUBeN6pdxQZSYK5AMYFqQPYMCGG1Db7T2RluOsP9g8GoBywR2K+dPw+QBJZvrrTQBKTW5uHpzMZ7/YoajsL3LXB8RVScm1wWZwZnJqHnFK/s3LeJ6kQKQku3GTOznEZXt9dLEWtYXiT0HpOx4QnIM+rzB3oBvEStmcLCMEJHvQnQ6sKhfyscSayVLwdtIap/CaGd+JjuoEEZOGg6kkjYURxHRehHIaRMVtp9PKHLEbSpAyoQSnG3sObYeFCKhDWvQAqpZr6zjVhLm4vhSyPk6sZEf/LOBnAzvmxWSm4sRujLsGzR47X276WLmlvHWuLb9XJSw8kaszH89w99AHfeNdG0cFzcBQlDX2xzRjRMNfvUbl3RoY3VixFEA/eW2lCN7RiTPehFiLd9gZaGKxCcot0CpQNQbKB5xpjjF2LMnnJqcbsWeEJWEiK8dwpOyPhD0OIK98wtB9GU2O6k0f8v/IgrOGvbvQ7p69erVq1fv3r3705/+9C/+4i9efvnlt956q0R3FxQUFHzfsOcZ0oMHD27evPnmm29+/PHHR0dH//iP/3jr1q0vv/wSjRJ/PFREENj2Lpe67v4BZgNqxfAMcwYe8bSg03Mu2slPnWYy9bHDsnDOL8jzDAgcQjKyzJYWj/w5E4GINq3gEbh5bPEMaAejz+xaVkTnHxr80/w3ZpMCC3Yf9LgJmCeZibGqrL/H1HAyeU2b0xxltrTVwHC0nF4KiCeI9bY+VZz4OaZZ2helnpug3Ugax9AEPJxiECj5daIj8gbBE+tOzMSzXuUSWMrm0cpWzoC4W849SWZi2Hqwto9yW5yg1HXERFQvDZQRfq7ZFrllChkK2D4qfdO4MVb1fSt+LjxaaYLGcabZFeqvMHWOjURH5GJsPcYHda44ZeSN2rzSszxeeHq4Pv9Qe1ex9o5p5Wxpdd+srF6JYiWHXKBiFZcZe4KZhtKqPpxDmPBBPgAvFwYhC22IaPWqx9VlR/ZdsIOhlXPLCpexCh+I2EaoFdLsn83I5x7Zr1/T4FdyUWecQX08GF4oFPKO6VS1CWbSQ9AU45R7kv7V2EmnVsaTTu886ykO6jzDCCAnAjKf/Iljv722t6O0c53jx3x54LNMaeZHEESEraJkvxDPz+pr34fynWDPM6S7d+8eHh5++umnOfin67qjo6PdPO+CgoKCgu8D9jxDunLlykcffYTCvTfffPPmzZtEdO3atXJDKigoKPi+Yc83pI8//vhnP/sZwuh++ctf3rt37xnqGthTbH2ig9IK/KjLuWCKUEDeLHnWGxgyUgaoskDQCLgVg0SixBvoAr7XCufqxEAvoO4Kz2n5XaqBdnJoiIhi68VJbH1zbEItudM6WyXgQRkXQkTnjvmrH27rYXIAq4ZjjjYt6RN+ef6+o5xtM6pVRUbrVgZRPesu5iXfvDiv7qVkJQHdJ06kQQEP5UVjHJTsZAsRdASNiJPcPQPaUxydHkRwMjDBIOwH2aPiCEYxkFHrRTj/0OQoIJwg5N8QkVspNTRbakkPbDQg9M49slmUkSM7CXoNZfwYZqZNt13uRgJNog05BwjFOsY6Gq82IIwPVu/Jm3P/j4C/Cp3fzaCCZW3daR7SbjpRdEhXilVvYi3zL6y4LFHRwY+1Fj5lyhFZTRyY5h4BVPD34IzAM7fzG7Cv0c8jRma21PykqjfkjVuxeJagw5uLnapBuTK0wrMTcrF5bFVt0QRs/9wx533DWUsXg+ZsZWnDbn0UEZ1e0gKqTeo0MlsbmUqBwKZq6GpKkMqXOqQlyWpGqLqHSIc95WAtM3Hm2/EbXAPad/6CclwvGPZ8Q+r7fncydOXKFfQbFRQUFBR837DnNaSjo6P33nvvnXfe6bru9u3b9+7d+9nPfrbfXSooKCgo2Av2PEO6fv36+++/f/fu3Y8++ujixYu/+MUvnuHGsxnFrbTZGmIeM7F0G0inQJWMCwELpG4ebyA3UvdM4Mw2kDe5+SY0Qi6CFoOwJ8mlNFcGxovVq363APv8QwMjDugdWF6guBMrPFpyEZyP8cSeV69EM7HaVqCss6IOEjBRKYoGpOJ4ECGQ0/hqFxELlH1U8F2B6ECWtvpLENEd2EymOjE5dhrEERHNlha9UDhAhEPrXoWnWBoQdNn5BCYKmwqdz9/H1odGub5ckpSzjsDhQKuGiPTQaueThhV5A0ZRnDw53L59fezU7HXsYi1gmUIbzeC2tB4Rj1veCc4tDmxHykXvMPpsj8ppqk3/I/VRaa6PkpZRZXVE7W+2zBscWthAjh4fXokw4uSEIfBR04GnlSOI3yZGFZAZwbiqjUnVei4pHp3A/ETbFCvtVickXruIqzc0cv6LmYwWTVpqSgusJeWtx55wX7GTaaEHq9eqi8MrWy9aHhkerVgJjRhPHLjqTe6dAi+HS1EtaHNP3qgKzkWcdNs7XOdElCOjaNdyh0ul1kh1pO8/OfTbaw+ur7kXR9ATwiuGjYi2y8enTuUe4c0z+3oRsX8f0oULF95444033niDiO7du1fKjQoKCgq+n9h/dNDnn3++u4z0DG9IiDyIdYyjjbogzKFVz400wS4r5DjERtyKIzGST603my7yqJEN3T/Zkz/3eILmoFZ5zBU0vCBZx7Hyr3GQuQFW20sJDp5c2clNiBPiKVk8glCZiEJDbsXrRRBn0HZKRBuX1sk1p1I3Ykdmb9F/o+YPRI4G3rSCEdCHTYfGT6pOjJ9HP5f8FJkTPPHAS8nfg0IpTGXO3Z+tU5yrWxk/FwxpSEYc0nVyXZE2lOZngwtNMtJ7w+jwdWIGh8XqWEdaWQwXHP5QPcCP4lZGHOG8UE3iZNNuzS7RpaHuvDjCHMhOFBrGtFWccCobxYQyaLApW7Sa7lwwZmQISczE9SM7LaIddeJX9WbdBNdbv9jEmnPAB2a6ZuKYzTqep4VkB1LoPAxqyFMQp26k0CIlRMzEPJicBMqBabR21Em5WKpGtoMJjZw7NsNh3D378JBNDjW+URC0OjgIGabLa9s727tcBYSgXhxgaAJ5y17Lk/TqtWwH41uW1uME0Wg5XedVb2DXC22MjYYXq9YDk9pG58owD2ELUFvwjnVGLUEuxmabCcKBQyMXfmW+fm3r7Yutr5bV2sm5R+70kmfP7Ei8wenDh25zMebk32178sShjVkdE5oQWt7/03fB78Oez9G9e/d2TUgFBQUFBd9b7JmIfP311x88eLDffSgoKCgoOAvY8wzpjTfeeO+993Ypu1u3bj2rjWNe7xeb0LI4oZpmSxsQhzNaQpZJcv/4uQY+AplaMRNP/4VaK7CU7ZYV3DZQN8y/sF//0BOR6204WEtinMDVuJWZaqNZk2gKH614NoHjaJnIjJpadP4hr14NzWN72hqEimYOJLaeRlsv7ZpIJo0BZc9CJjQI/kmF2U5yNbUdOTYqECAidQh54+cxcyaz42q90DQgCCXw95pzSia2uhC97mKsBRQiyBD8fSbBxMr8C4ulbzhLUBqUE4CIKBLRykFmgkyanNuEVXoisn3lu4ARy4ylOKE2umWV04bcyqwXIccC5T0novFAORw7Gr+IAmcVGMLA5CIhjnbgkGxM4H+QFyVWqhN7egmxTI6dmN6ERsgbO7L3BpIQP5dZb04veUryGewJDGqxkWwX2zZpdRteObdiPyfKgafJsrZ7vHrILs6OKyJ15JweRFBk+exzYGkCD4aI6hOHlvHFf+LH1yhqjKmqLWjaOtg0ftdJcoNJluGYiWOzrQCPtYpKkMZrJ9YKIqd8I+qLOFXL4wOFK02aYAYHDVHofHBm64prwrn7s9NLPlOFBFJ0Eb5+jdQI6DWoyc9ltrSw65075mlB65pS3ZGyf/Wxm5pgJ85j5VZGA7G8QXSWPJ0Zti8UO9Tvxp5vSFeuXCk674KCgoIC2jtld+XKlStXrty+fZuILly4UCR2BQUFBd9b7PmG9Nlnn924ceOrr766ffs2vn+GG9fS653AY6WJnNTHDvE8qucZ2a04tBGypRwMDBnVphUkvuC/YOp8F0A1TAsNJtFXeZNDhuzI04GfLbWOKLsHzt2fPbWfnsXJ6tUgTVAKqBHkKGuYymjFyfhSgH0EYUVmYmRIZ+sGTCexUWXadODxy29kcm/f2BukqoiV2dKq5cUKssORCJ7D0fFG26Idb/LoUeLKwNfBQoS9UlIoKamIqOoNWMp8jrYd8LDIJEeXNAGuHZPion0XUj6Tbs2tGDoxMzht1gmprAiB695AD4kAaXV6EXHg08M16nYw4LnKiIhCI9IEUF4yWvVOuTgdeAw+CN5Qix0MuZgVX2DDQiPsSeyWBDapx91MHJ1eb3g7+HUgjFwvcNLT4I+WkHyT8pnwB65XVSTcaXbkWMt04N3KmMGd/IhAk7rebtldRym3PtUardw2QjvkHi9V3OUjCm30XdhcjGbkdaehRPlaykXjiBjfdBFXGq52XEsQIuLYsxloWsT//P/SEwHrHg5Tz6w35x45vFCsbLq46WLVG3DjlDhhtzIodgJXqQ1eiZbM8eQQWJ4VH1LB78SeT9Lnn39+69at69evE9EHH3xw5cqVZ9vRV1BQUFDwvODMPTU8wyw7pBLkJ278Es9960VYLwLSKs3I1cA2RR5w4PQAqPmYxpOfi5l0frAtx3QRNnhdFW8CrRz6e6qBc9cOlqljHc1kkJiAtXS01ooT4wlry9s9r7dPfLmZFFWY+AM8V8Iwr55/pKA6cSv281idmLx9t2L2zKnXFZMM7BteqwYmR+izyfoIqD/wPJ4CWFUqgg5WcZrCMFtavFGeB2CKkI8rth7zjNCIX2ywnR/82kEqMutNbseByiA92uuA5OSLXMhLmsjAofPIfhXP7DUIA6+C+MKttCGpXmqyA6UpHaX5Ab7XxqxcBetTrRRkC95kl49bcWwke7lmPec5sUoGPEsToA3BxJqIuK8wyLGR0AgOeduKSxoXy55nvc4v14uQOoSIUvpDFkFA1rHpIs09CAAzMgrANJNiZ/amupJaED5bpXwH2Mhydm2eGGkCQsoOxnGZwWHuuHs6VBaBDBSnHz07GFyuyP7ALM2OzCmy9uR13c88S0bDshmZPY8vhZyQi1njpovchO1wubi5GKFDyfmqCPB1K4ZPDvMkMzgIc37v/zH+BMh2xj/+a9+H8p1gzzekt95668aNG5999tmXX3558+bNktRQUFBQ8L3F/rPsbt26deHChZdffvnw8PDZZtkVFBQUFDxH2H+F+YMHD5Bld+XKFTT1PStwKhTXJp7kswFVAg4BnNK0iEiTBD1lBocYUCzbIrcm1poyCSZhtrRZpKBZoqOFaUOcrLsIig9sA9461hF0BKQE5I04CZ3PzA+PVs0rGv1JeBUjLNJFuKPQbYPEF7/YwPLCMAN53nQRziQikiaENurbpY4iSowfzBzk4g/+2fh5RFt5qrTRKCN4UDTCNdWlb3UfLq4XgZuwuRg5/Sul9inwY5kyosztpC6i0wM98HViNSnJHHCYsU4hnoGR5JRJPKyfYzUbe4K/H1Vjol1QROTnKQC3FnZqD8IGwc3WS2NG3rTiViY2Ui+NphA5ia2HDgInXdunAruBwU/iLRDJw175NyKKjfBood2AlIZSHzwOM9ZSLw2asWZLiwamLLhAVK5KUbxxy4o9n3tkobMgF3OoLnuyg5HRopR9Gx2bSru14osotBEnBTlDfr51sNmR806yzwxbCrFNhyBOzj/U6zPWEU4gMIdws+m5SHlaSBUCoWomjnVUExsRiDVKdDHoXCiDLv5Ku+1TN7mSzKj1olQBxU7QsyWOnoo2boKd2K0YTHXofGw9DucP+Z9GwX6xZx/SnTt3PvvsM3yPyIZf/vKXe92jgoKCgoL9YP99SEdHR/nH9957r+/7Em1XUFBQ8D3E2VLZvfzyy8+StdNqGcNNMJMBXUaaV80aSxwY8Sqxjqh8NqNW+yBuBEIgVCZTysNGbg08EFCUQaGExmg7oG8Gmh9BaFCW2EGGR9r0rPsDqOjIbyVbbsXkoqQ0biKSbuN6u+li5ougZ5Od3mg4eJRRdBEsExFYOENEOBy01PBo1xcpdH63iiaNiaCkx47KoVHyHmEP57+e7TIhIGQwsHZQtZvG6iR6MzYiowUlKFpzvnUp2cG4FcdazMj1saO5D21E+TqpklBTnfB2OCOhjW5ZYQB9F+AcytVWatVyMTQ6SmJF+6W8MROvu+i7EBvZXIRGKx0Pqr6zMM/Rro0mdwJpmHdiRLMCquq3XKUdTNWb9r7aYtyKQRRj96YDz1pjr1QVOsVVEefZeLIjjwcxXzz1Uiu79MpJzVhQTsY6QsYJWlJ/TPxYvTTpmmS0lYdGuAmz3uRLBVVeOVRJz5GLm5bM4MDpZYoVo2RGJQlVXOe30laMHkhd19vZUsnS2HrUkJM3sY6w6331GkqkjGrnHInTUivX23PHHNpoR5bRqi0v6VGx8+IZZ2eb9e7NbGmzZ26/YP/Mvl5I7J+yQ0wD8Pnnn7/77rt73J+CgoKCgn1h/9FBb+zg1q1bz5Cvq3qjhgzPYgXxB/BV4EFSHBIktTfFz1UBoRVBK5cXwJ+8um6Ot2OFRVQ4nKCMyJUwWS+w63zCXKFeGvje07q9TrnQa0lEcPZkb8e2phb2qdQRicfwC7+27NkM2nbDo0WUJEItYXvKT/RixR7PCGkOROsu4iELs4e1Vu88FUAJZxXEFN9IL5XUvfvkcjz3yKHnRmD494wnZcyEMCk0k4FaJFfjhDZWJ6pZwEQt/x7pDHg7tpGboHGigfEcjVkCkixyUEVuHSUXMZnThW7dqzRVGi2euP08zpYWlbJ4L0wj2HNokkspDXieDYQ25oAPnCx4axDGYVK7FQIvsAOYGcdG1otwehChcIGMBZNyeH1wraogopZYx+rEQEkhTvxc/BzvSERkBjceRD8XdjLrTTZ7YZpIO3kcOk1MtUDtbwx5M74U0iELjxaNsbgq1HOW6oUgeZgtrYYyeOPnMba+OVaPUc6wyNdMrCMCMrbVwHkAV+7Cr63vNEEjNJqaofNvIvJGA4iJsB0MhX4MPRER6sQiRB9NgNnOjFq1Rcmyhh6m2dLSykF2kXey4CzjbHVWQXRHRK+//npZSSooKCj4XmHPN6S7d+/+9V//9VtvvfXyyy9//vnnXdf95Cc/IaIrV66UG1JBQUHB9wr7X0P6xS9+gXSGDz744MaNG3/1V3+1W4/0xyCmg+PRaqgJFvmbxDt5apa8WmhfshlZuoA5ftUbP5fqxKAgmUcbauLA0m0klYJvi59V2sChFbdi8AluxXbpEJYqnqX1o9U17ejUtGSwZtsEmEhs70IbzcihRYSo+Lm4ZZVLa7ApJoqt/+qHNvc0o9bITFyfuOnAa/pO63m0ZnDYZ3FiRkaeiqTIFhyFGU3yBinpRGoKMRyYRhuabW+Qjp6FxYo2rdQPZ8iwYU8C+YWLNBn2XC/NtCBt7PYMz836YMOjRZVO6s/WUFR0kCMbNDYSh0p5mCT3ICIQfR4KAhQved50Ea3ntnez3kwLCm1E47hdVr4L5KKQUWrIxVizjEqK4i/1nDoZQaxNbL0Jbea7tIA8OsLAIkqHiEJD8OtgSLFNnBqwi5xKx3fpQTsYCTDKBCLadNp1hDort7TZYoUmb9tDSkBmNNhyaCMW8CkJZHBq8gUZyaq2BcGmI4PvyvYmSjlJ7NXik+vM/WLjlpV2iU3buqP1IpA3vlVCEiRqtkBBB4FGoqgkm45DJLKDgfMsNjL/wmFnGG1YVoUq0gRlql0Ul04WEVxoF35jvn5NZku7uahBxpS1JImlzKONkw5ViDilB/eOM5JgdGaxf2Ps7u3nypUrpUC2oKCg4PuJPc+Qrl+//t57773zzjtd192+ffvOnTulr6+goKDg+4k9z5COjo7eeeedzz///KOPPqJn2l9OKaAa34cWurJU0+IJsSLjQufy9dKIE0l+DvAG04HP/coI16FUNY3kbJp70jRiTSFCpA2Iu9NLXrU93iBi2fWWkfLihIjmvzGxjrPjKvuEKOWRZz4ttLF5bDFhil0xAAAgAElEQVTTzwwMpeodctH2Dl0y7HlzMSJhqOoNoomk24jnTOnE1kOYNFtat2IwLbERtjHlgpOfi5+jesfEOla98V2A6M54Qm0SBz7/0CSlGTrFWaWGO0FB40uB/faIzGTqJSe+Swk3WFgghNtaqboNgUJcOfB1lEqSaKeHSVOiiTiwHTUOKsvGYrMVDTJ6erxuWUOMguZG4xD0ValDyI5sBwPhIsYh02JgvczECGeiVGqFAen+ySZfEUkTMtlIKXL7KeFiCnny81j1BiLP6fJayVto1bzRnOydV+UY9XxqzMix9dwE7BUHrpe4UE06Nar609auwJCV2pFBWsI81Dy27MTkc+GIiFQdl/So4Dlz+RARuZXJ3iO34uTGQ9y4bmHTRZzNTB5KE2B3gzNMEvvHDvo6VU5iT75+LarxyEp27LneQrYqSQxJOam9TmXqKUu+4Ixj/yq7q1ev3r179+jo6MKFC89q9aigoKCg4LnDi9wYK059GFtFgBO4c0IjxhN5k5+1N62kCYq+HCkJeP5CTKQ0AU9wlPNDPbveotcVT3M6W2rSQqtXO/0Pfu2IyC82eCo/98jFRvo/88hahcnDjFoCW/VGm2EDi5P6X0iaAOcHjCm7Maw5cjRPCMxktDbGM62cGVxODUArqzRhOvA5dJWI4lCRi3jypeRBQSrlplOfFo82OnXOs6fVqzpZiY5CGzE1tIOxI4JQI5wiWNPWjFRPTy5rFoCmUQwGZwFP3JpW0ATx6uZB8Kg4aR5bseroygU8aVaUQlQDa+wspkGpbDePFRFJ6qmCaqA6MdoMmyUwnutjF9q4XqgN69z9GQYHcyD8qJeKN7nAF5MP9vzkcpq+1JFSTAPv+LTIGzQO7y7Ox1p2zwjGNvWuGtRuYaDMpDOn3LE7O65ymW8+wHppVFNjhYNeZjqHcFHzR7StNUICgN0bXwoyWugXtnNQzzu7qmIQM3KeJ60XwaY2o7Azj0TQBlQ/+OxQEgTlCZaZlIHA7E1FFiiQTZQAPsuMIuAkx9C5oKdzxwaxFNglVWoEw4ERbXxGog2Mf2ZfLyRKY2xBQUFBwZnA2cqyo2faGFtQUFBQ8BzhRW6MFSvRkR0Qrso5gRHGBXRI56ie0Eb4S1LiqvInvtMOabANs6U9/8UM28/LpDDuqCuljQglyivwwOmBxBquCBIrGt4DTUEdzz2y4OLWiyBNsIknOf/QuN5+9aOI1BZkkuZAIJT6IB8WW46tB8kjKRk299DQTt5lXuHn0brextbPlhaBQ7sDWD+cYTuz4wqL5Njb3KxDaTE//5eIoiNONfC7cUdoQKdUUq5xtLXkjCJxcu6Y2XNmotAmhS2su4iS+Lx7HFhL6CejUbBW/FyaYyMpoBYUKArOyZsf/LMxk4FvJi42uBiICNVEuWRovdBAVZBmp5c8jzZViTN4MDUeeebRVr1BEi44RvY86404YTjMHArLmT35LkAhwk1A7KmGJ2GXEsUH2goykKrXqCS9qp3US1iLjBZHaTsUEZHtHf7bPLahlpwPi2Ak5c2g9Jl7tHbRDk2dFRYprYcFvquwrWbPX9r1BZ2IN2AFcZ3YETVaxi0rP494X366Kj5XIqU6qC3JiTHMpjQzOJp7pQFTvzvqjijxt+NCs259F3LiEa0chB74SBacfZTG2IKCgoKCM4E9PzZ88skn165d++CDD/a7GwUFBQUFe8eeZ0j379+/c+fOd7RxM3FsxC82tHJaneJiFlyFzmdPA4gOvIR3ioW09dxvR2nTxdMfTsgFFytmcL4LSlIREQppPEEhxm5rQImNRu+kiBoKbZTR1sfOTFuVl+steYP4bfJmOAxZO4dNuRX6rRkMEsJpDBwzRJnqgfwMFF8+3tw7TjkdPJVtayIO4r3T202X1/jN+mAjTYitz+E3GbCbgKM798gi5zvtCUE4l4VwsFXhheCd9Li8igCnRYr6dhGcjJ+LmUwWXHX/pG3idjDIC6fE84ADJKInhx4dRbOlTZVR7JaV6+3qFdlmJiWCkUj7h3Yrc2BwwQFqmzgorCaQi7gwoPJCb/2mi0glB7N0erhmz7JzLtCPxZl5Gy2KhSjlMOVKp1grmSxWYuv9XHcYEk1ycTyICMaGgC3FcutFhbdYY3/ypes0uwgsLnYg1qJtQ1Zcb83g7KhGq60hLCV/b7uXQu5tYvSUExFsbZny3XQRoj7IAsVRbCTWESycHfVMKSs+T8fbBFwt60U49whCTTaTBvbPehNb75bVeBCRMIQAeCIynvKFly/gXMquhjz7zUt3L9jlPP/Ir30fyneCPc+Q3njjjffeey+3mNOz9sYWFBQUFDwv2NsN6e7du1evXr1y5cqHH374Hb0Fak85tb5yE+Dldjlm0UU8PcW5N8sqkrUj24mnBZznGpSJSYBQMqV7plRgSk4IhUZOzj1yp4drIYNnQ3Fi+oqIBH0wrUdMKhHR3MsK3gg2geD8ICIiDm3A2+ExPJdychM8kestJmdstRyIyIgT32mfJjJAzchu4E1H8MDnhyks/pvBxdbbiaGP0BQGJ+wEya04NDM4gakllyR5k0cDP2LqA1sMjxaPrkJoYjWh82ZweW5BRFVv1gcbMzj2fHopwLeExX/xLM6o56kRTXR1lB9ssb598udeT0cbq8ER3FcuYsKHhqF1G2OtFbHbY3ESa0G4Rhwt9lALqODqx9Zaj4LR6cBnPQVCJchbOxgajO80fKF5bE8veeMJQbGUZg+h0bph2zs7Mnxa22mZi7PebTzjl6GN9bHbXIx2TH1RKZlCUgkW5CeIBcFQuN76RdxczF3AWlXMlrWeylEeFresfBd0bye2I8daPwLsidrIk0Oa6qaLZmLNIXXR9lVspDqu/FyECOcLeb48WuMpWLGDCUQIt8U0vV6a00tBjXSorNX34m1AbR0x/pAR4frhyVFyTT059Jh6+sUGZ2fTCo/WdwFTatRcGTJmZOx2nuBq+GznyRu/2LCTuCOpKDjL2Btl9/Of/5xSmuqDBw+uJexrfwoKCgoK9ov9ayHv37+/710oKCgoKNg/zpwx9hlCbSJ9pdai0ZrB6ZJ+E8zgwNKce7RVNBDR+FLAcjqycIhIPTdOMzTN4BCTipdj6ZvSwjjtxKJk4QO4l9iIHUx97CQRCNKEaLd8Du2EqZA32ksU2Iw4CnVvkIs5o3O72uwirFR5Z7CqDyUFB4ZwAxthJ9uknBRXyn3llpVW+DgBTYR/xViBXgMNmAdZo0Xdzi81TUeHAgXeWAZfL+DLId8FaQI3ASveMtrcbUPegNdCTThIMFA0lJwxZuL62K3TCeIdDjbsBKpWA8dG04bS6Em2KOHygGMMze67pwAhQBw4dB4Dfu6RtSPn6h1UvyPUJ3tiYuuzXIVc8tY0Mlva5tiAxOPRnl7ympBkNfQotj7vec7wJV0DJ7cyHFg9WN6AnsqJOFry7SLK1CGOMCPnMm9QWKeHa3IxLjaQEuDyiLXAUEUoEJp7nF9xOqrsaX2wgYUO6hs1BsH81ARwg7OljY1KGE4vBa1O99v/7nqG/GLDKQgVBkF2goxdOK4QAXzuOMlenOwG/8yW1vUWp8yMHNqIhFZO3Gx97JQD9GzqYGsvT29hjzDhmX29kHiRb0gFBQUFBc8R9knZ/ehHP8rf//3f/z2++dWvfrWn3SkoKCgo2Cf2dkP6E8i7U+81xVra+/bJZTIjx9r4LkApB8Ln9JInz0mQZtFpRLmRKDFR7IRGpWXIG7EMFgUKN/RMI8iHUl8LuQjhEDdBRsue/GLjvXHLynjaWM0Fp5SunUk28EJoJALVUJ0Y5NnYwYT2KceMBop7U/Vm3QQIt7BLoRFpgm+C7Z26hfBeno0nuEO0kd1FTskrZjLRww3Dca4SQWwB3TbSBNSB45CJCIYqMHJ2MOFAib7sYkl6PGMS6wXOkJtAiSKDeCw2IqnDJtaxOjHTZY9yd3Bo5x+acSHT5bWagXZkeOQNOCgzcWjIjhTryMiPSfnTea9yHTtpuVQ0k8EbbS4SGq2aY/PkVXi2xLd6UbHX7iuqCdE+sApx4Kgp4DJb2k3H5x7ZJ4ceJpvThcZ128GEJoSWsorSjhwX2x5uaULqpDdQoMXaJkUiEdG5YzMchl2aEdvR8u9EPmuZt4s8udB5qCiJ0GhlfBemA89ew4dotDT3Mtq8Udj40FNFO0rR2FB1YqYDn51JRIRNERHeDkSxOGJPkchM7FbGzyMhwQvKTM1VIrFCK8dzXw0c2u3bPbkcqxPjvSEXQhvPPXKxYXEy6+nJXOlWSWrGWIuM1nhiyzBg6eEH4xofUyNUwRlHoewKCgoKCs4EXuQbErpKIUk4PYix9XjMJNKVYRTAwNYAFwXyFCi1zaLAxg7G9i6XyeoTXFDLCLmYHxXxoI0WVCSfxjqyV/fJbrmLTsJG+1QQg4vrg810sM1yRTiCONlcjDT3s35bF4uXI1qCiOpjl/tkZ0uLx0MtTfH6eGiSQ36rAiBS+4g3oY0wedRLgzmBOOK+0v2st0/oRElPkfYTfTZo0Z31LKO1I1cn6pDXB3bPmKmoToFIvJpmzGRQX5uFDNhDTPJmx9WsN+y56g0alSBVYE/Qa9Dcp+pekxMEiGg41OAJFN3i7OdAVQDCkzzjxBK9WNl0sRr49FKAhiXWEhpZL4IZ2a0MThb+0iJKAEqWwWGmBWfMeBDJxdj66LYDFdqIo6tODK6u9SKI1xzVc48seYPLI1fNQlPjVnCe0bpTPxB0BOhhykm4zWOVjcQ6chOyZkGQWrtybmWMp9nS6jWfEl1FxzxNox2SiPUv9YJshIg2F3XLT5X8upTlamW90CLd0Hkz8aw3m4vRjtsJOnuuH870Kp0YDViQBeUYglhHdFaxjew5Wr3wvv6hKkfqpaaBaDuUZ9AA0DWggtbWfjo+n2uL9w72z+zrhcSLfEMqKCgoKHiOUG5IBQUFBQVnAi/4DSnHYhI9VVhOCJpMHAX+DHwR0mUoLV+Lk9iI2jXQruSZPcNW4lZM3rCTFILy1DqzOHG9hWWERwsGpj524C52y37AWiTnxzbeFNRZXo9dd9GOShZBJhA6j4X6zUXl0GIdpwOPoh0CO+ciltyhv1DupRZNZU3VNRguDjwt9LUI96x6AwcSJQWBW1bYMXibNLiWCEKJ8WBbRq472SopZEeul8oRkTc82tlxhV6cTRfZCWrac29TJtNgq/JzDROSbiOeYy1uZZQR1WBcyrGktneIW0UQpwo3drIp/WJjdhrQEWyj5zGoIw2bAusI2hD7o/s5WgyXpF4rsGQakFMLOtTZCRJscWhoNCcXNxejmRgxUTxa2M6mhVa/Y8d8F8zgcI1BR8Ce7cShjei5V27Z03SgWTuzE2KvaaoyWtQmqTlpYiIKjUS3VUBgnI3XCw/0F9J72XN1YjZdhCYCG8FVAdpttrS7RLTtnRncuUc2Xy3IF54WyoJy6kFHQ3x2XPFoVR3TBBCP+FTiypcAlYp6ibYRRJZCG/1iAwYeRweth3bDu+hc5G6Ngyo4+3iebkg3b958++23b9y40ff97u/7vn/zzTf3tVcFBQUFBc8Ez80N6c6dO19++eWnn356/fr1jz76aPefEItXUFBQUPBcY/9Zdn8gbt++/dZbbxHR0dHRjRs38u8/+eSTw8PDBw8efPsl1d9t71vTe+/s/pOZjHQbyIoiEYKQyUV2IpMRr/VCsIa4Fa8PvBmcGTm7jsYDdX5o7Y1HWbioHWdy0OBpFvVgxBIRceDs2ABXgxih0Ea3rGIjkhKj0WltexeQzjJatDohZ0UPI6UZUXKiwKmDQwttDF3MgjoQhog/z2XPsRFfR9IAJJNCj5QzVDKwi0iCyU05TxXPJLoG+4YhMqPdXESVu5YbCYEvNdNiA/+QGdl4tWGpqGy0GBzsZ/PYnh6uyWt6OhHB9jRb2qkJ8F2BqFTzUwumUajOHjLKDT2wglEK/zYj+yYg1Ge9CNBMShPIm/a+XXeyPvDboXMSmrDxlR2MX2zWC8KB28EYT34uSmAOJi42mpjuInnLgd2K184aT0RcL02KddczEtvtjwgFx/7kUc32LJ9arOxgkJmEBCCcBTtyrPWsff1ahHkIpq580arpx2nLuDQhkrWprSpvDeFAIOLMBDMch4Zo5eC+mn/hVq+qqUtLiVyEGU6cESvrLsVZeats6sjGM4jTqlcJInvOLfVJAClbt1+9oz7V/rDAnm3v2DMi6kMjZjIRJeiOtrn1nmMd1wshIvof/tfZt//XsD+YZ8cdxt//J88fnpsbEhF1XYdv8u3nwYMHd+7c+fDDD2/fvv3tv1//x3fZU1xsNASsoKDge4bpf/zvbO39UBFR8z/9L/venYLfg+eGstvFlStX8M3Pf/7zCxcu3Lx588GDBzdv3vzGn8U6wr/9X/2fTESsC8VEyQyhC79N2LTCTbC9477CwzhiIs89cioNgOtlZHg+YF4hF6UJ6I+Ba0ec2Em3r0ZxPNWOLCk+UpesA3NgMziaeySiwjiCHAGIC/BIi/VecSkLoI6w72AWhWrU3B7LgWPr2aZpATJPvalODKwknF5LROfvuzyByJWaHHjWG3hKdEYVODQCP40+frY+l7HiJXgyxVIzuWg85ZhX2rE9QRGQ3xRP5RgQ5KUixhRxmXkykZ1MwOZidMsKSRZQnYiGtEpoY+g8IiRC57EG7paVOIHRJzZi6pD3hD2FRszEWow0WjuY4TCgRpaDeoPMZDAr9V3I5wIbwco8VuCRqbrr8TIjo7cUUo7Tw3XVq3xmdly191UZgckWJi74e8x0cz0S3he7BO+RnpqU0rs+2ORgEVTHQrURW98st/NdhJZKaq2luceViTBcTJv0lHl8gkRnVJhcOjGTGRdiB4PU3RxaaiaTJULbGqenK4jMxCoGCQwxjlj5doAChheeNmk0pxV1xpSqltXVRwTxjpbDaiCv2gc1ytZGp9O15/L/dd83PDcn6fDwENOgu3fv5hvSO++8c/369TfeeKPrujfeeGOvO1hQUFBwVvDJJ5/cuXMH339DDvavqcPOAp6bG9LR0dG9e/du3rz585///Ojo6M6dOzdu3Lh69Spq/S5cuFDK/QoKCgqI6L333stSr2/IwX6HOuws4HlaXLl169adO3feffddLCbt3oF+a1QrN4FWzg7m+L+mqjfrhs8/sutOxCqrAPNNTMv1WBXXlJ3JxDrCicKeZbTi1NyQo0KJiLxxKzN1ayKKLrKTaWGwNo4/cCteL6KuGDsBGQX+x4zsFxsaLZhD9Cq1D/nr1yKpnYKR5WMmDjmDpyZKDhjNuAQ1RzF0UVuFgrYlcV9J67NLyfYO+ohYCzt60oXdonSsM/sunF6KdjCZPBQrYrWwXJOHkicmtATJhrIoZCQwjxbH67uA1WYi8ouNGfTdcXbsyL4LbNkOJrYUF5uNq4jIeAqUhBupJV0CEp6sOMGqOA4QT1Sg0XL3uVvxxlpU9ZjJ5CX92PrcIcSe41wwDtoplUQKBNZotEgm9eRiHU1f4SKZf2GHV6JYxKdG1UpMbEaOtWbsIlOHNLKIpQmnl5QK83PBMK4XITqb99x36tNaL1L9dmLJ8Aez49l0eS1NqB7O1jXhKhLPNFozcZzrBYyBXR9sYPOSJjy5nDZIhAsgth4OIfGMwKfQRfTNE1H3f8/6P1/bvpKXNnGooPQxywo1VMqYEcloIZqwI4fW5Ihb9Jfjkt4lhINTGtwOBicok3VuZfJmKUla3Mr6hghs5MoxkTTBToz9FK+qHBxv6GI1OL/Qjy0Yv9hI6Dz4unyR7x3+f/s7fFP9N//h37aFzf/xd7/3bz788MO8hPFtOdhvVYedETxPNyR6+iZUUFBQ8Hzh33wf+vYW/pA7E7ArB3v99de/rQ47O3huKLuCgoKCgn8Nn3zyyY0bN76t7dpFXn3/rT+eBbzINyTJrdWO6iWTN+NBhCiLXEQLMkweYkVNKpgxpgxj0G52MGCuzj80KutygrwTIpoOvO0dO63Khpcid8OoPq2Os6XN8jbxjGJppA3xaMEsxUb6P/NIoCGi2Eh97NBXrQYjl2wZTRAryEKGmckMDvoxIqKVY89uWSVzkv4aYTbinuogxxZiLZrC4lTCpLFJrYfyilPY+VNVTERIVDKTQT18rGPVG43M8eo1iY2QN6HzGqAOYdhC03EQqyOekcOkBduJHpwtbe6Ybx5bvDC/dU6Gxo+ULClmYiXNNKVJedRYxzhZIgqdVxcapIOjpWQ7E0foNQfvlKuypduQi8MrKkjbdNEOhlYOZefop9fed89mMu19G7EdbxAiZXvHnszEiCyCCwesqaYZzfW8IPcIlxmIZT+PPFq2cX2wsYNhJzAzQIQmnptjgz/W0HcXcb5im0LivQmdN6OOjKScKgRZIRScnXz1w8BO7MRK/Gq1PLkVh85vfV1eK6b8XEWhEJGeXgpZXIdEcN8FtzLQrJKLofN+Lprw7fRqBGvqem2y31bRJ7Ve1Ru3rHLc12xpIePEoPFop0VEgpdeC12IdXTtxrk49jXIZ3qhcXR0dOvWrQ8++OAbv/+GHOy3qsPODp4zyq6goKCg4A8H1opu3rx57969999//+rVq7s/7nvvvokX+YbklpVfbLA6DW95rCPVhOVcO/J6EaQJMnFOQSUiJF0S0blH7vSSh3kFoZnD4XYxGZWpsI+EzpNnPJbaiUPDJrCZOCDT0xtugp+rUUPIcAoDJSJtzMQOr3jd6uo63nQ6iNtOz+TICU4fG/FPOhFsPQfDumMsjvxig1fNeoOmGXHCTSBktqb+Hkr+f4RUquueCE+1ZnDSbVJTreZ+QoiBV1EqmcV7afTnxOy5GnjdRfY0/4356oeCVXHUU7ll5Rden74xbRqcPmt7irXkVejNxZgNN26FYYpCBhOLbAmSPCslIqJY6xNxtuwQkXp9RqvzYAg65kIjI74h1hGXBFJEY23YM2QOxlO0kftaAy9az6NVpYYVcdQcm2kRtWa3lljH6AwSV7cxqZNpjs2TV9fQMpiJ7cixtmZkbe+Fuc2l/FkXNfJjtKHzPNo4WUZsq+cffGFXr9J6EfQstILLRi8nb2It81/PhsMwLWJ24eCqEEdmcNRu7DgLjfBoq96ERuKcxImxcVpESWeZYKg62Gx1QHXEIOTTNP/CPbnsQhtp7mNOSnWaGws10OklFeDgFGOCq5dNYBptaGN97KDTgeRBlSxWQkOh8wjzDW3kE7c153ltQpJUU6u6EhyvN+x+GyuwJzzDpIbfjd2p0jfkYN/48UzhRb4hFRQUFBTQt+RgZ1Yd9oLzqgUFBQUFzwte5BsSVsvtgNhH0EGs5qTeTQfaJASLhoodCKv0Io7GlwKyW6oT43qNidSl8sFhxdsvNhqU4jVMhYh4tPVyS0fMllZGi9XszBvgvbTUuQlYodVecw8VA7Fn026gXyAidDWByoAiA3+GtyBvzLJCebPuBnQW3pxe8mhVz7+nRN/FOkq3QTiNGZyZ1EAD8grf6OJ/Leggz9msZuJwsIYDSbOUiDiApmNxguyf0MavfhgwSoii4cyfOOUA4YwhIrfSbKfqxGQvC9bMYx2fXN7qKczg2NOsN7lTR0+6A4WY8nKagCPl0W4L4K2YwWXuCyODOiJoEOCYQcoOnEN+LhIMTpOmT+FArDa7T4u404Mu7Pn0UghtnH/hdnOPJIUSad+2Z03gTV1TnFb4OfnV9HjroP62UUObhlciOLGct4soVZVjuEhEq1c9aEPt0HKyo76JROTn6g3ycwmdthxJMDguBiO6ciYVEcV6e8mZOmS2eTgMOUt3trQIx8qX4vYEeYPYXw58/r5D8RjCc7W56mJEClEmY3WDGhQkGDQ/jzT3ZjJm5NB5HAKMbjiu/5+99/mx5Dizxb6I+DIjb+Wtzu6+UpfULVEQx/MD0jzbeMYYGM4/oIHhDRfDt7MWlrZaeMa70WJ2RtML7QyNYXBpbrjxYvYGSMAbLwakjafnIUxSTb/q0W12sm7Wzcj8IsKL82Xc0uhZnveGGnaX8qDQqK6umzczMm9nxonz4+xjtsGmpxuiUpd1m/+vuzVYT9KKFStWrHghsN6QVqxYsWLFC4HbfEPKLrcfu0KkpFZAnigDUNKsF94DkqF675DiA/cDEU27CL0Z4oozQmVEQ2tME5V60sZxyk2cOs35JlbjSPL57In1l6zUgdjYJm36EQseDO4ZZHJjB3K0JBZtPaR1NRmpxiXfWiOiWVkmUG2FSyGiwv9oXrKY3EQbrFqvxJwar51q1bh3brDcOxvgaLG/HAV9MiTdzPxGHzkoUM2qGU0xMGlzz2Dz6CCyKt4XWpxVscnZZdPE+a6atJA0s3STkxFjB3aDhbZtfBCr3sIsddMmBccVlaDxA+cmoh2ctmKDqZ7bkpiO06H+J1BwjfJjODT4n7IYBIdrzXkTMZKxTWj7JjR/72YjeuUQp+E7AeMJ+ndu4dAiHPJ8N6VWUitLME++aVajxQWFkYckkpbO79SKGyzvK0TX47zLblbz2eKWI6Kzj5mIik0NkeSg5mInOAT8gln4QA1QH9XuE5tsB85N/Nr/qilE4UJS0BYojGpqsg2WDlyMYtMuGtakduXfWFvMs8toFCvXNo7UCGhbbVTC9sOjCSzrybfEOj6xTbD9IWBeyUkizWq6HzAUxMnvX4j/64x8YV+3Ei/ESVqxYsWKFStu8w3JRHP9KKF3tSwRZzHz3YRQAIKHf3R4VEe3SmxybBP+Kltda7XB+L2FyRxPu9w7PJhnMWZ5aiasjYvVx7GtGi/OnlgimjpNGSirtVjLdYPNJXGAdT7HB8sHk0en8aZN5H6pIBItN8L0BZEKsBAhT1M9HH2lmxVLB8YTZcZfxaZW4KMyo0s+w3lDRJifxYuJFrs7BocPxvooXaQDnyYWB4a73l9y7ub50WQwGo0qF2Kjz4AgNd4AACAASURBVLPoT0LgKVbybbCIYMDMEgdVUmvhuMqck8/TLkK8gGVzPpjSqwTRAaaYOmNrdIQxi0JTUWmJxcO4G818NxVlSrHX4DdjJyQW8zAce9glzOSki3jGz5xx2ZRZyy+16JI24ZrR5dG5UXcY+gUMiCYsOJ0pYmbpLxmpDURkB7b7KrYJ8+YUHOYQBXbgMlHWaIZxmYmKutPwV2kzPEzlJzrPGLWQqd47OxrMeBAlDJNQvdf4V7+3uZuJ6LPft2pWWwgAHEUeHT4yem2Lhbwii7qy+KAtzIsQI6dW6MBootL0k9FtP7Iu6Bag65HdfFMFg0YleLPAeUDLg9mYWa4lTLhztDGo0y7+SvHSihcQt/mGtGLFihUrXiKsN6QVK1asWPFC4DbfkLLLuZu1hUgMSAwsApd1VzBX4BAQLeP31kQD3xIWnGGgQXpjdsiAMdIti95iEXOJVyUmGywWbOnAduAsBpaRaRe1gxwFPJzQaRQ78U9qZXU4g3CQbdLWH9hWxhuV4UuuJWkVEGFr/kldVqSVuVrKh0w0m49rZLASys5HxweDBmsbDBbDQf5kzsal1GSIO6C2kG1OQ0VEm0/d2ROrgT1NTE0mTtO3AkYYmoUiqQB5CFcTGJsiLclOjUqgjPD76H/Cwj7if5CEa4RoKzgpsVEBCLgpcEEq0Bhd8VEl7SZf1A2ifVd04IgsKNEiJZi68BNQl8jFwe+Xana8hR246m0x+twUj5z4xqX4Sg8KxO9CReLPxOppw7Bga8hJAslcNojdcD3HNplF8EJLZi6YW/xQuohUVlyWOH25idPFbIMxnI1LeXQ6pPhzdDaYcCHaU84pc95+yKaJuYnlCrx+RfLo7MDowcKeV721A8Nbpt6jpVidiilqdAiQdUF5y5MfaOkMAwuq8py7lByBvL1ZHgbPnBldYlIuMRqwzcnrpymPzkSDt8PGfTvlpVjdhV8iPL8sWMlf1NeXfSi/EdzmG9KKFStWrHiJsN6QVqxYsWLFC4HbfEMC9USLb4OIkKm8JN9oRw7icNDUYoMNu1Q9t/Xe3ax+KW4JpfJ85t4V7uImVOvlMt6o8EV4rXpEokHDtB2NC0REsk1QoGUxiHgpacfZZejoEEdkFjoO0iwbFisVzCKLyYmWbBhQkcmnuc1oSIKhJ3PmwcxdKpkuKjkDExUtOCsjhg+6NWz8+DAeLzQypxy1cck/qe3A0kXunYlGObQmwkuEvh+zdPAQGtOjKq9Q7AQji4mG95VpIg4NIrTjw6juJaLYpuRz7MQN1g122kWQe/6SQf4sb0eFczPjyY7WfuySz6aJfLD13oEagoWLDzZeTLyvQGnikihjiMNXvneRaGq9E2LL4d1BPNVCRZascbxWtZHItRJTxtBoPlMiovqyip00lxqvrg4zpFtpoDW6l5a0pFY2n7rNx/VircsYbQjwQALHNuGzgKuLiOjAIIfx+yU6ywZ7+L0Jv1woNVrSqvTlnAjl4qKh9RgTGLbwEkQxgVm1AyPqmxbSEiMDBhLHjjapqUsqc10YxULGFvebiSY8mlIrhQgFymfW+miWs2Db2bcT+r1WvPi4zTekFStWrFjxEuGW35ByX8NOf3K3jBrWUD1fuinbVEwb2WUs0k4XMxFhHlOWtenAxAmPZuiVwfoqpk3Z6dIuflk7YeMpPsCGUwArEZloYpvGiwRDif4QLorRlX22y2rw8WHEMzItkQo2LA/RRKjnMUKGsw1WV8WX2lPiJLtZuniycYiB8gLP9TeX1qERQLCmiWa+mzQEVtt6cklDILHVcwuXzLSLZU7GB4NHe42ZYD2KzHlRDVBmqp5btdEQESfMBZNP0kUiip3c7MvBU3z13JplZFJzcjgZ0WmWicaNxkRNoXV4qF8kGNjzaklZlW3Ky2EazrJNWYx0UeNZxVofbbBFNYC5MlxopcwJZ7a5tHTDh4QTh+1jhoqoVtdzicpFpi2moXRDgQJLDU63EaovK1T60uI9wuwHo4SU2KnL44Oowodoqt6eZBSYmyKko6/R5qWBIMvViHmMWXqMrI852pKggd/BO9aX6lfDyU0+a+EsJyIKO9QNZxKriSGsvcN4L1yWpD2zhojaj11uYtXbzBQ7yUzN/pRiXObQyPvAziA8onwDdQMhm5hTZiqOq7H3dYN2pTR1L4QKwMoX9nUrcctvSCtWrFix4mXBekNasWLFihUvBH4LbkjL+jMtpA3WkzNn1zM4JTM63lf+SU1EJhrZ5pLgAooGW0ICDeJkSmaMbLMbbGolc547JanAp6FfmRavSWrlZkRQ6ShSgcCyMK6vZa0Xgs1IPSWsR2SDKS07dlQFAS2+H3xjmphaMZwdVBtEkAAQ5B7RFOoDqC8rMzoURBkxdDhl7SC8NS8bwcux7BwuRCUARKaJWKaeu4Qh4t6BhcNbgGsq9T9qTuJTkxAW2MsuqadkSQkyTQSrhkE4xTuJcaPRyJ/RxKXGm3uHCB8N3RFLRMMrcdrFPLr5buKDmnWIKItBhK7+lckNNgWHIEsrpBwvEZrCi1ohu5xaGS/S5uMadh+cDhBQRBTbhMKqUyNUNLad+XAqLkLKlBssxhCcLSjZ2Kg5TKN3mtg8VZZYCeS+ki5q5Cjn1Ipsc2ql3mu0jw2m/sjnqA4zEmvb2fq4+ZnHEcVOVChRYnxdMi6dIoJKg1dx84jmPMEWxvvKBlsCtG76tMoJtUGDWQ3n5tJCwjO3ZGDREz2nh1cF6gzUwxMRKqBQ+1RUDIX9K/658ldk4Jq+wmU/jWzEgOFc8YLjt+CGtGLFihUrXgasN6QVK1asWPFC4PbfkNDEzAdjlnl98ik2ee5S6bSG3ilcCKJ98JWXpmco0zQ2e+HfoC6Dmk6JMk5FuQQPTfLJjVqJrZKz0dV7V7gy9HAXHVHZGQQhw8ZUPExVb7PLrmdorlDDQ0Sw/iBdBgk32rS9xHtPu4jv026GGtCI8XtLYsEUwVk1d6nIz5qnDmOirOPiPgGjpWTmMp6wBBERHdj0FQ7BBpNdlt2MY4+dgGgq+kMcFKrTzaL7wlcJnM580p6V9uvTqd2KMp+cwWtx78DM4NypwUisCtJKaM1CKE27GC+mU/96E1GdXu8dbEyIxsHghAvVa5XOIVrIT1IdV0o+IwEdpKuat1hToE6Z4i6n4KaL2fXsei4J5d2/NnTgPDqo+HDqi+mthEuNDyLawQ1r6LWBfU0Ilx9oK83HEhvbFB5NeXSmiZaTaWIKznKa/sUAhhnnFOHuuYkpuBRcjrbo7rAd7t3xlSmPzvVsllatovrDwYJltQODUlOxqKAES9Po8+hU8yZ2vqsqUBDFhZHDdVL1FixuvXfZZbuvzBJXHzvBlbNk3hsicj1jl4hT7ma1XhFVvb1pm/sSsarsfj1eiJO0YsWKFStWrDekFStWrFjxQuA235CMGNNNSI+eO1VnQQIHVZJ2Wi+WT/A/IEMUnIjTfDcVWgOOztzE6VsB3d7QJqk6S6xxqfA5KBQHneKf1Gi2DhcC7k5ZBY14oQxR3OgKGWjU0ktElHxOTCaa2Am0RradNe+HU2oyLJZwcaLsjvcViVUjKqtaqXhXxwexlAEimsgGM+0iWMHjK1MxM4IbQQ8hjMMmmgf/G2Ux3DvUY6cmF9Oi2lpvRDUDU6f8lWq3bsgXgfqyMpytjyXBGu5REFboRSxxTbadcxF0EcU2lQJDMDxVb8EX6as4lfAnnCmthhOj2eGciSg8mohoupjBFKGDkbYCSaFya0vFHDoGb7TLU2lSN0JFUWkHxlGgARK0GAytmdVfbPoqu/zsP5/hUZXdbIN1o0GHYWoyGLDkEyRn4UKST9rCDu2ZnDRsponSFfbYmiaic12TtFwioiQ2lYgpUdJYX+IjKv5gWQXfZYOVLloftx9ysTOD/pUuYnzofkBqeGrFLcpG3SsxyJTCLqEDUy3Dh0XZ2Cj5vHzWzPxoAo0cm0xbSbv55PUWzeVCJebCBmfkM+Ewu+6aOdaNyDantaDvZcBtviGtWLFixYqXCLf5hpQ5q/didJnVWoQabKyCGqHscnZZ1/YHpiXos8CMrhTPnPKH/MnTgKVmv9c26xzVWAMphBssamPChdBWYqORP1W/GI8W6QQRGc65ifPdpEvTTdYA1p41eqebiTSANUcLIYNhzUPSZW0h00QEvWjNzJJMs/mUMZ/DXE2TK8VmXjwinDRtc0mdST7BDmI4o7wcO/yL/0QfS48Po39S6ywh6m7ojBNY1Bz4G2YGOrbRQF4BIQPsQSk4wxkFSPg12c3WRzcaG8zJfRL0UZrEotrHis6TcEYQ91nWuk+7p1oSY4Pl3rme027W+KiDTnOLqaXMLDHddD2X4FQbrB3N+CBiIoiYH0x6pNMxXCbWejViMgGVjRGdsGJKVC6AohCBT2vqErZMi5YE80UbbL13ULjgMnPDcgWOJ2fV6UCiMS7laJNYC2vXUOW+Lk1UCFdVIUy0ponWR8MZ8p/MS5NTXw+vRJxWO/Cp0Ki02vPS3tRkXIG06IAwK1J30Vb0/C7+ttJDjxkV0o8wmSvpWVQKqFijmDJn2Z6mPpjSmaUWa46OiJgjyuzpBcDah/TrcZtvSCtWrFix4iXCekNasWLFihUvBG71DYmx6qtcTXZZvTU31tKxCp1v5JTgX9XnUdgPp6k5SFPO0ZaVWCJKPoVd0jZ00lSV6WIGb4AYbCz+YyMIdzFiTF8VPwcV59Cp/zuhKx1WGKzAqzUEa868dISjCUmsG01+EFS+gSX9aPDC3MSwS7rqy6cSd+5PvihNAIpK8RnO6JjR0vFFIJC7OTXZNDF2YqLBpszossvYNyXHxOoOo26Hf2kkUyvweI0PIrhKzdUeXak+4t6BpSSiZk9EVPcWpBAqo3TjYszoMKRaML/VBiMcPlKFCK3b7Zy7OTdRRQ285GGPDjwqltOr3mLcwO8VpQZOU26ikZOUA+fx5rL5zVzqsqqPAYyd4ACxh8rugoAqV+aSxu1GU2rLm6fOBiu7WRNxLmYIInAlEFHu5mI+w0YI8ooiZhGToyUiOzD6wEpJORFZH5X0E5PFpODy0lxV3HhF32HgKxJDW7EDG6efC+sjuFOcKQR0Qe5RXGgmKjuay2cIQUSjaz92+Gtiyi7naNNykefR6cgv9CDsUOCr7/4tY6+mnSpZcrQi7vrjO+NYlctvxQuOW31DWrFixYoVLw/WG9KKFStWrHghcJtvSIZz0wUNhuGE4jjUtfG+0iBtseA9SvZ20WihjY0QQR2NWYrpqufW9BW8R4WmQ1YxFbakCLSYYL65fgVl2ATyB5aU7DKybSDQQiOcNgH+A2yFVNxl4IABZ5KbSAcuCUPTxWw5mRuKKTtqhzTd8BsRLb12oPVu9kBfVnRDqQUeTENrmgixYhZTCqFBfKG7GgyhmktQej1wkd4hSwmv4oMq2WKju1pfVkbIjoa2ggQaxG/jn1JwV7+TUERd+shLbA8ykEBFusEmr7JDI5RaAZPDvYNuLUd7g9IkjCpeOO2iDepo4cFooJHLJVrbNDGLgcYSYTnQhhXOs/7Ig57VzG+xoDEROEScqh4SO4PgefR8z3cXJ9DoSCzS0HEtwT8Hxml8EJNPePdivjFNRDM9uEewWBhw00SEQsFgBD6NiGLgkpYEjV85+9ll6AkhscPWsAUkvquTiXPmrJFaLuVutouoElWNxGl8EEGouiUzHmLIEkBu+soIoa4e/XtENLwS4aKrBmOiqT/yeqIXcSMKBlGfGNtU9RYXw+e/f+IeyxExx+7bnzXNTDdq/b5crNFBvx63+Ya0YsWKFSteItzmG1Ie3cZPdKOGWbaZxKZWZDfzwRT3jK4bi73Z+lP1FlMKrMQSER45ZXsq28bWyoK2hp+WOIAShYBchhsTC61ORzXOomhwg83RGjFoCaKbq75Etp318b9dwj05Gc42aGM3tpPEqntjYCKKrUoSeF8hyiH5TJymi9kGa1xKu1kXvcXmJkKCUXYJShAIBzKSYX3CMjUdGMflBgs7DiG4thN4jzADONXVcMJCOhHJVlMbpItmdK5n2Wa/1xRU5EHwvrLB2IGnXYTkJPkk7SI8OTAMTzrPWx6KcSK2HxlUYqPhqd47bSUnMi6h1Io0aECL3iEMKTaX61ckcy7pDyWv1nBOQ4VFdXQpIU9286mDh4w4jRcJAamlO6pEgk67uP1bXwZE66nc0nXE2t4EU5EdODcRRjG9AsVghjd3qQQryG42OFOjUwmPWOSZGiEVpIyu+dDXjeTR0YFtO+OyTD7TVnBhw7QXLyZch5gl4/rX0NvRpeBILJJ/IR+gZx5XHd0POn8SUz50uYnqE1oULmAj3Ij04VwMRuVwkHkxdckIzXeTdKeZWfPUYRaIa8yIQd8V5t+Yt3GvLEIWM45VzbH1U7FbrXjBcZtvSCtWrFix4iXCekNasWLFihUvBG75DWmODmwJ7ysjBmvI4FumXYTVI7WSR1eyPsFWxTZNF7NKEoiIk7usUTUEW0lZ56cbBB0MEMp3jY6I/N6WVJhTu7NYbufMefshJ5+UxxMb22SccoaGMxxCkBLk0VlOyIQt74sNJp9BLSrtBqOJj8gQ0j710SBtExTcKfromQcZUiJlkUwKzQUt5Uw2GB20ixnVNdBTZM4Iby17pZU/AzqBjGw1Q8iIsT7a8dTwjVCiZQCJiK5fEeUGOReBCeI7YV5xg527VBwtZmHDsEEE6dpgchP770RwOCi40p51MTZYywkNTzjezJS7Gd3nRrRCnsQikxRdU7TIDU4BSMFw79LSj25Gd3wYXc+l5tyIqXujti2XoR1AQ/nV7wkGHGv+xIm2Am0LLg+E7Z7MYQgWWrQAdl/B6WWDAf+GnxdeuvjYNLCnE9NNtp3HV8M0MgxPlhNkMoguNX2FTwFxqp7USqNxMovDSa1vDB7V6lWnDBvl0eVoLSd65u3AIFrxDZK3chPrvbMDo8KqSCRoK+oRbGJqch4dgm7RmBVb/WhYH9NQ2Xae24yGKrjxTDRpN5cSLy39ajJUGNzOTTMPod737XQx31TufIlYo4N+PW75DWnFihUrVrwsWG9IK1asWLHihcCtviFxGvpNabM20cxduv+/u+KMIVLrhg1WE02IEIgCww0tPh7t4FmSgbB5I5pGfKNYaMmTDhavGh8op5fFmGjAzPhLTmKJ0+H3pqLQg9IvBUec4sVkXJLdDEUTWA4ZKm0/CifiCDQF6p/VbjK63Nc5WhS0Z5eli6nJGqTURCOUoyZDJ59A8WmTtJyuh4RS8INBpU3poVG6j5P1kThB4oXgIrwdbDcLc7IoDHEWLiZaGtNVV7bQd8kns0i58C7YZ2T/LFXlhJ0s3ODNGGyIxPQotsr+QbEGHsyNJndzEnWugCBSUihYRDRRoR8XPSSEf3p+u8ld1v6SY5tkN+duBnGXmwgBZAlkoq2MF3oG9byDgcRpkiVvKZ48QCh8glRMJXMuw5SjRx1N8nk511T0adZHOOposYXh56XB3XLK0RqXUnDcztZH6T3IYdlmd1mrDY7IjG66mLkLxiVuZ1oaj3DGkSKffKKtZM7GoYOKiJPzAqHdiWIVVXiCYYtNPvW+N9EN9ubFhgHXWHrUsTeRiNx4sklZTpkzYp/whZ/PXXI9lw1iBEw0SWzlooiLgeFeohUvPG71DWnFihUrVrw8uNU3JLF0YH/JBgmqLttgnv3LmFrRzhuxsG6cclGJ8FQOscPdDwyyL7XXtXSDNlrHmYLTes2luNMKwQaPB3OsZt+cY6mTqa9pcbznJrrRYPpSHhtzX6P6E0vEuYn+SU3L8vLmZx7ufS2EHV1pKkI1Dh34+FDsvjrZaMSiiwhP1nAIlYffmztc9waOHDfYxGSaaJCJuWQ6YEkZUyta5j2qR0D0QxOX52hCpAX3DhO7G3mdWcUFy0I36cN+Jk5pqOxo4FnRd2yixrxiaqv1r5raaZZ4i82ltcHC1OV6Tk3OrC9HG6zOL0WlK7FN1ZNabUZNLEKD5HWD9d4hpNU0MQUnXdQFeRx7m5JP9WUFgQNmM3Y00L9oZuiSiVDvHcxeuYmY+aVWeF/RgW2wqclusCi70nzbaLT7VYxtZzUVaTuqTllMNHWzyB+iQU5r8fRQmbUfOEdrODfNjFk4rsbsMuaydGDTRLcbiQjRBryIaGB00ywJmPZc0tHYzag5Zk4Wc/etLBVfp4yPUyzv0lSUdrMRs/mZhybCjC7t5sw5NTk1mgZCnGKTM2e75DucKnH5VNmFolhVrCBQQ0x2OQU3R7fxk28nItp8XP/T/jf5YmDn/EV9fdmH8hvBrb4hrVixYsWKlwfrDWnFihUrVrwQuM03JGgTwoUQEfqE0OdtFmoLgSIgo6rntviBssvGJcP52b+MRBQuxEQD5wfdCCLKN61FnEAyJCaUxMQ2oZFayTRe4ixHo2mto8sgiNC3TUuBDeqL8OfolKYYnSbocDZirl8RU5w6pUa6ic5L7CReTGqx2s2lwxvpomjuIaQogbfZV9bHeu/4YK2PsZPDq5JdrnqbmbB2XVp2spg0VDYY0010OJWRp1Zu2qdoUXykVnDUkEhAQqIsXDRuXM5Fz7QVOnCCcIMIh3YzjlN/2Il29nDOWPa/oSUxYobvBNTJ54WcTK2YqOoPu69unjIQXDCp2GCxM6XruuptUR8kn0oujp53sXl0mbO/ZE0AaiKIu9RkkLT13uUlDid2EpfUVGU+xSBKtWgrSqyqer+ESoc3mMbkM4q1lGNEbKv2Hpns8twlw5m2kpeOdiJiTrmJOI/jWEGWkqO9qYA49bv7KKJ8LBgwtSIhO+rhkMVYTjiVeixbkUI1i4Hswg22CGE0I2q5UO3AGLrrV6fMmvOrhqrRIBK3vqxAp7vBgkKU3hvOzmv6kZKiIB6bKLtZI4YXkxZEGVs/ffXOgYiiv50c1y3Dbb4hrVixYsWKlwjrDWnFihUrVrwQuNU3pEW+hQIV00TulUKxwWam6WLOi1YnPJpK1TTKmE1foZhHqa3RJJ9dz5CrIWfFRJOGiuhk43CjAWFiokEONBERJ9dzicNpnjpwMlDEoSCHUCC0RO+cPBnFXLIVOxobEENuCJXVS1UMiTUuJbGmNJ27E8sUO4ltUhMS5wynCNRQuzkNVWy0Kwh7i47z1EpsNQ8GrUJqovL5JJkTW2K//ZO6lBhlzjlaiMrQVn5TKIU/5y7l0RVassT2uJ61/dqrqkopnUVfl0cHSdVNXSItbCp6gzKTCvP8qUqnMJwg7kDnAqmVYupSJVihqlxGnxAtWTs4WdAlTt8KNyRtZMZTJfzcJfRLLUdBm0/ZjK56Ut+4PlXsV2w66FgCvZyjRZG5HTjtZhvM8WFUdlHs2cdsg5XeL5rDDCbTuFRkhCaaaWRuZ/QhyVAREbezcYm7gFKuOz9zqRU6cAysKsQDM0fUSlHJI1+4U17S3HEN+HZiTkksWDIcWmpyauVE6y0fBCgnIbpDwFVi8pcMplS6mHYzYtGxb5kJNKNtZ+NSDGyaaLqJu6CjCibcR9oKAo0QOX/ejvfOjkTkWfJCvX7pWKODfj1u9Q1pxYoVK1a8PLjNNyQ8v+dlHkCL6z6L4YMp7nQ8+5/yRpdn8Owyinm0T1aLkbI+MoshIr+3KG91lzXeq0QelBZXTWvtBL+fOSO+Aa57nU8sxTbJJ9TYmG7CzACTD+xYarIRkm2ueksHhh3EuGS6yTQx9zWmazgWfI9KHutPIQjchVJumxcHO3QQeBeoBggPtpzovj6KYo1atom2ggmfPv92ExGZ0YVHE5aUtRRqdBroQGSXZ+cyHcwuI99TIxuWkAI32LTTKMwY2Cz5oWX/MUFMPqnRp4llZf4EVCWNDjObornAPyFgtL6s8Na8r/KSwAudCwZNuugGm5ftO68zJ9vO+FdcG3l0GgmBmijSdXW8y9xpHxXGeW4zEU0XM1QSduASuEBEOiMpAplGl/qnXcwO81otyUXiw/FhtKPBbBLCGTW9EREnTNQQzEGodo2W2zkFl8TWjTTNnHzOTTx8K1kf3W7Mo+N2Zo7+4hqfF8MZ/ifpYtOFaWTrI3MkTv6S4eRD6xjBwLRE0MKfhCka9sfuq/KJK1dpbJMVChcSO8EkzDjtysJrkVdbvFaYNKOgFuazm2ffRIOTjmvYsxDRVfCu5zKLXfEi4zbfkFasWLFixUuE9Ya0YsWKFSteCNzqG9JSMIO/5cJmiJ12mqSpfNGyZF08LvASgbEhonrv0P+tdc6cEeICBgY2CLxL8glJMGp7GrVNx3C2A8/t0g80OtBxJprNxzU4LsSV2nZOu9lyMi6hpsiMDqEy6InJLmstNI4r2hRcHh1yX/ATE41t59zXaIDGRkCRpZuhlpwQUIRl8LyQaacgJbE5WhiYtMFIjNImUF5wskuxDUxIWIjWEJfRpeAMZ8S5QmqhQhKQjbAHDVzIHJCrkGPk0WluDY6Ls/VRpSg3Tyv2f6st47rbTaz3Lo/O9JVSlEubEYm1PiYmPtimC0ggNWJkN0+76Hrmgx5+Oa15cS/JK6OOGxKAxNR7h3p4FI3nJfi1XIHwwNESdKv95UT0zEMuAX4PDidNeFoidtxg3WUNUk7zcFtJXq+r3ESw0AZxpUXXEC3EFM1Tl5l8O0nv60ba7tg0sx04DZWIvT548K6gDUtiUOUicxRx8B4pDwlFSTwdGiQhuYk1x7H3RCTiuHcq51E/kAULTaV4fqF/VT2x9LgTER8siU3BnTQaLk+72DSziK0bSUPFnLIY5gR1xunaiJYOnHzCSc8uz9FdBT9F9W+9IOGqdk5f1NeXfSi/EdzqG9KKFStWrHh58DLdkB4/fvz6669///vf7/u+/PAv//IvX3/99ddff/3999//EvdtxYoVK1b8E/HS3JDee++9n//85++8886f/umf/vSnP8UP33777Tt37rzzzjt/9Vd/vrgy0gAAIABJREFU9eMf//hXX+UGq+XTLjVdQGgx0rtzE1W2NDpNF1a2yig1J0Y6VXbNXUIlT8nthk1E0445g1XT1JyopiK8CyReeXR0P0i3RIPfKMIZH0TsRgrODmw5gRNLwU27CI2Wsn9LjzXam0BTICwZMjYbLBJicrc4QjjREnGN481RDSV2YOujVjoR+UsuUsPUCggWJGcTUfXcgn5JTU5izQ0CJAYuG0lNRut59dwazrmJdmDjkt2fCBa1WI0OWqnYptSK80IHLvI/nDutlSKiJfCbSPuQYAhzgxY7IczGcHY9Z+QAjS4uqTy6qSYiuRxF5rFN07eCQBG3AERruJBSRV+MRPB4nW0DYrMhzEPJlnQxN1FzjDhDn1navkuoUjGNaaB4KyYa41LpPeKDxc+L4rEajBYyaSNUhmCs6m3VW4wJhIixE7MI7fLopl0kscdXJiISsdw75khElYupFe4ChHaGMzjSFNw4Vradw1DXHEWc4EKFoNFnEot8INXsNRGZ4obzJK6+rHK0Y+9Tk/Xa44SaK42fh8Z1q2K55LWoCRY3sLuxUSYW1KVZ1KeVW2xeTSSipjiQFiZQk78XIhfk572z47kPQ6jPfYCo8lf/f1jxouGluSG9++673/ve94jojTfe+OCDD/DDb37zm//qX/0rfHNz2rRixYoVK1468Je9A/8e6LoO33zyySf45rXXXiOi999//8c//vGf//mf/4Pfb/77/7F8P/34vyIiPpjJ07SL9d5NTcTSNxHZntXT0MTIFk/HCQ9ri/2FZAmaFAvDeW6ixiL0VXYZDn80hxKR7MRwti6Zpx7TKSIyTbT7Sm35nKjJSYzhrBOIocqcE3QEoyOieu+mXax6O13MeGt/yZovcD/koTJbMQdGKU4YaurmHJz10X7axIvJdBP1dV6sPzgc61IeK0KCJ+xKnIhsbLJWi0ZjBiYiI4SpG20lLLOT7HIeqtRFGyzkAJkSkc2tkJjskxGDKFj1gbmcg7OsxiNTZgyYl2yFxFgfk1jaCo0O7qU0VNSJ4ZyoIiLilMmSmDxWmLphtJPPtBXTV/xwyj2n3Zx8Jk7pl3tpZTerCmB0tp1zN8d9kzkbIuk94VyIu/lUnpdnNSy523bO0WYxIhpkYFAOJJRaTYvQ62F0Lpi0myOxidpx5QYbl6mhG6yGQXBKPlmclIFlN9P+lHyaKSVO5rLGxUacbLCpleRNFpNYk1izGGqif1KHR4hPdXhHqHLowNnlGNi9co3D2fqp95E5EaeuPV723vpIjapIzrYBv8Ycx/2GlpOlJVVifTtNn7bUHYnIBhMbnZ1MFzN7IU8RyacuF9kFkcUEC1u2wSbMdQ7cNPP1fUuLPAEJvGZpzMpMxNkNtuYYA3/9/rMn413M84iI2sl8eM4Huvo9MQeGdSy2NO2iaSKJ+fvPt9+4/1z+2//550TNP+5/mH8GmFvaY/RF4WW6IRV885vfLN8/fvz4gw8++MlPfnLzh8D43/zXREScuJ1JaMWKFb9t+Mb/8F94Jx/8X4+IqPnv/qcve3dW/P/gpaHsXnnllXfffZeI3n///XLvefvttz///PO33nrrV+9GK1asWLHi5cJLc0PC0tHjx4/ffPPNN95447333vv+97///vvvf/DBB99f8A9fw8k00foYA6ehmkaGNsGImbukC8KcrY/J5zw65JxC0aDdSAtrR3AsidVlf7GmUHlEaA8iQppnRjt12YvYJjfY5ql2eJeoGKX7lt9E7mcJrMSKcbiQzacOJBi2jx5uI8ZygpAhL/mSN50W8WJCVAxelZcUImwHK/zF6WJGh1DUGNjuK3TS8MGgzIm2opqFhZjCDpQ2GrOkoPK+QiW5241YfgeRYjjnbsYLEWgEKi8t/U8puDRUxiWcspvnMLWCLnPISXAsyFWiUvPTzSIWJ/EUnut0YCEKsMHQgTWR06WMpN3Raec3DE+IxIXjp/SIi4FWhbQraBmErcAWpmdQbOnZcqM5nRexponFxIYTjeJ5XGAazit6Ddwseiex44XydeVio62QWLUfIaVJrGyTHRhptrqrQRlRDBERgWw8hJqIuvYoYidx1keY2M62AT6kcayGUN87O9572Kvc4MZ1JWJzN4u4LCYzQbEyR4dY1Ri4+Ma0Wn7pNFLK2mkSFRxm2CVIV7LLEA1B8pNZ424z50mc8zJFZzkVgQNzDLt09Z0JQx0vJiSrFlPdN+4/vwq+q4+/uG5PRrcVLzZeJsrurbfeeu+99374wx9iMQkLSCtWrFix4nbgZboh0XoTWrFixYrbi5eGsvsPgLIczzwYsDRU8DeA8yHkwRw4R4uQadnNWYwROmXtECEEGlUrbrA52tJaREQaRM15upjhdjLdZIRAiNl9laM1YtJuDrsECZbG7QSrpTUH1DkTcprVTuQjJFJEdHwYw6OpBE6bJXcnLZYd1MOEoQYH6HqmZ56IUnCmr04JPaylSgQXyIK0UzItNxEF56nJsZPEZDhry3twCAoqfFoZSTsabalBVNISH44Wn9gm5DefmpMW/0rmnIImeRORbecUHInVXKJgXc/usiYEQqMFqonYgr5QrOGchiqLSTdjosTmbgaJCgrUDpyZTDcxgo6eeYL0rono/M5NdKNBX5TuEjYoSz12tFBCNs2Mensi2nzKGJ/TWx84eQ120hjyG/3rOnqc8NYkFlRkYZMgt8vRImsKbUlusDBXwbuj74U4c5fTbiZOsRPseaHXYicQarqeu+6aiDZ++tqdKyI624Z+2BBR358RiFaiykWwYV+//3nrJ89ScyzR3eW8n7ejnl/OyafsMmi083Y8b0cigsS0tEZht0FHw/6F/T+lkpc69iYqBwtqd+mUip3UHLXFfKjm6Fo/Df1mHKvschk6RFIZl/LocrT13nX18Xfv/v3GzbWLuZtPwVFfKqykL+rryz6U3whu8w1pxYoVK1a8RLjNNyRkMeRuhkleF7SX5zK497VYSAye7OrLClGS5cnaBpuajOzO2CY6sOzmpehoyf1c1pwhIsDqOp5baVEB5G42LnHvaCv6dImcyq34SzaiJZtwApV/urnCbwdOS/6p4UzPfN2I6xlTCt9ORERiM1PuZt9OhjMeM0unLTo3dYddwlTjpmABQMtqvJi0Z/PAJJYPv5RN6QZr29m2s3QxBZeRwtlETNEEsxZWJQiSVbl3ppuMSyaaLEb/qYknZcfiQfFPavi6ZDcXr9jcLQITFNRuRSt2msj7KsNuxYv9Rcy0i1geP7XuRitiY+DkU9MFnVDuRiLSmACi/CCYaOxoEPGA6QumtrFN9pdjL+Y2q92KdbJr4nJJIEUU8R+jM00sj/ylbqqU3uLhHQvvySe7r0q4Q9rNKPzFrIg40YGtj7yvTv2w2ENWqQUtExqzZJHUHM/bcesnItq1162fuvaYxH51d5X7Oj0cidPV0OAX7viRiK6Cr12EmqPERtSNHEONoISioGFOWz8dQ71rr0uoh2yzGZ2KQZY5YvXcMoxunE00sU0wFXE7I0KlZOBqnbHoTLFeZm/3HlzhG+PSrhsyZ5Qyl49JCs4Ga/oqNnmMFRHdr68fnF2VGN8VLzhu8w1pxYoVK1a8RFhvSCtWrFix4oXALb8hKT1yYNNEFKgQOsWf+XgxZZdjk7HUX3ghXSlFLXQ369KxmkXUpwJ+D/03rmc7cNVb7h0dOAVXTEjWRzAqqBvP0UqnphDbzmAbkIOp5F6xEx3YOI1YVf+QmNzNSMMkpK/Cz8EUA9MzL2Lrjzx3Ibvs20nEZjHqmmL1NhFR9eEmR1tCVEvCKXfB+ojCHlpYqZPvp4nTxUxL0ThxSj7XjdglFtP6aFvtHU+72froepbdnHazG6zpKz6YeDERUlBdRgcPIlCtj9g32860lSR22i2F64jM8TG1QlvJo2u6YLrJDRbMlRrIRuN2I1KCtFsIQbScIN/I3az8lagxi4iMS/CoucvaRBM7cT1bTskn6WJmip0glwiBQwY1POI0kVas7OZy+ITyITXT/NIVaIPNS78RMnaJyF3W+GVcV0iTgm4i7WZETNHSw4T830KrpuBSk00TVd0wOtBcek5vrPPjJbWLNcdDqP/t5+feySSOiM62oS6hpZwhSbh3dvw8NJO4v/83X/EsqIPSGFOx08hde2SOzNF6bWAiIs8iYq+C3+6uq97GJmeX3WCli9w76yOkCoi8qj/yxiUjlDlXLuJKS61A6aOmKzFZlozj0aGJfAj11k9bP03izrbh3AfTRPvgaJrovOS+NmJwDeduNmJ+cd1+dHX/7w5fuV9f52jzL/vbviyYOX5RX1/2ofxGcMtvSCtWrFix4mXBekNasWLFihUvBG7zDakQU7QV0F9E5AabfMrdnFFSPhrUhEPjBOUSdFyoAgKhd+qHdlkVYnDzsBZXJyaBoUcsvCn+SY13xEYQjWPbOS3MYWoFfiaNWlkqxrHbdSPKL4nJTYQ+TZasHWxhGhnivdzNMbBsE3My3SRiZaisj3WjGwSLaDmBNknB5WhBHsbACNu2nzaZs21nMGlKFrlkxFRPahJb9ZoShIHSsRVLW8nR1o2ABHNe0lChnse4BDKq1FSnpU2KOCFPCAOCXc1icrSmmzRMHePZiL5vEVM9HE03KTu6dGDDeZNaOf8/apSdg3LE6cijxuTg+zDUkDI6L7FNfDDWx7QUltt2Bn0KahRBTW43TiNv/FQ3cqI0l8pw08TotfEIQk3IDpNPdtQIoryYb8zorBBtpdRrwX+WfOYuOC95dLETXDCxTbmJZ698TmqoUvON86J5RSC7OJU2qc3PPBHRM1/vHa6u2sVde33v7IgD3Pdt5aJnMd2EFHNwep4Fnd+P/uDSO8GlaPcVdrvrrs99GMcKVFsJwboK/uv3Pz/3oXJxfjSlJucmpiZrKTsRSE7uAnPEycIQHUMN1hRCQQgRDdxyYjFu2P6uvb4++Cm6z643NcfWT0HY9BVzMi7FfWOioa3wxw10m7FNtYsPzq4ebrSVxvUvWQjAbydu8w1pxYoVK1a8RLjNN6QUHPIZYQqxPsIkb9tZ+2HFJKZpF6sndam5NGJsMFA0YDt44DJ9hSf0+rKSLtKB4aRJPpkmwjFjfVTzfxNjk3O0tp1pmegQkeV0/rNTvyofTL131fNTykASazmVYk1M4/BCyykGJiLjEpagyyzHeclizMNjGGrLCbMQy0nElmkBt3MSiwdw3ld2X1lOMMGkocrRQnRAqIvtJl0zJ8qctTB3ecT07WTbWcRig9Bf4K0hkUBqLfbQtjPSGbIYWyqmmmh99O3keoZsAecLkyrMmezAeCO8qfRePVhPfd1IjpbbGUoK5G5g8A3nw38caNmNLCY8muxS3gqRC/fO7isMHXPKnPHYjsgJ7h1GhjB95ISSqqaZMY0r7wVBgVmMRKfCU5czAikWdQwRYScLYGByg918ylVv06CzkBg4icWVhvEsrak6b2OVaZRrhsRqbXGjHVRTpxOO2GTMM+740TvxLCFyzXHXDVs/BWFcGxiWObqr4M99+OzpOeZJOHbMZojTrr3GiNVLKZEbLLxED86uuvpYfo5dQjcYpuNpqBh7u5Uc9VPTtUfLybeT9oFxrvfO7itYu7RFjBNUGF13PYlD2MQk7rPrTe7maeQ0VKabIBWZLpbiK87fOn/2aNM/m842bkYJ2f/n/xT/jLBz/KK+vuxD+Y3gNt+QVqxYsWLFS4T1hrRixYoVK14I3PIbUtMFrLprqqZokg0WUbU3usTSjA5r1EhqKcQaEdl2tg+OtPBXcOfETrBgrrzZYJFnCpJNlhVygvFlK7mvY+Cr70xpqMBKzY+m+dEUHk3czrxwU8iRnEYGhYXVeOk9szqT6kauhsZycl4sp7qRppmbLjCntjsmsWfbgK2hDR3NTzFwjhbbkd2cHwTIGbgLCFVC3JHlZDhrkRJnpeCiIUgJXIqBRWyOFhuEC6pp5rY75k83SWwS23ZHIoLRStUKTdToo8UFpW/x8AjxxbjfIFk1R8tdwIAzxxSciKUDg54SsWk3i1jnBRSQ81I3Am7NeQF/iEMwLtWXFbdzfhBSKzlaOISkU/0C9kErkZ56NMdvLg2oUetj9aSW3mN8iOirdw4IJMVJ533lBgt+ybgEAxaVsCi4nUaH/FN8b6JBmK9tZzM62c3jg2WdH4TwRz5H67xwO8fAWPAnsZ992uHyUy5UTBKLOiJUc+VFLoF4XOOSHVjzbYkaN4fI++EMmUDnPhxC/cknO+QnpVZqFw/7s9pF7+Teg6vaxRAZ40D3A6rCcOAitnZRxRRCh8ttuc6HUNOB+WDQkpUalSeUJqqh3yBpF5zkV86GXTds/ISdNH2VmGIndmA7sLoDxdYc98PZ1k+79ho+qjm6caxwtVDhNrXry1gfm92x7NXfHb4S23/Ys7XixcQtvyGtWLFixYqXBesNacWKFStWvBC4zTckFE4jWSQMNXOC4osODG4H2iTaiukmRJXAdoPkGyIynKGVytEmsZBUFQmc4SzbbBbxGACHk/MCR44SU4gLCoYObDi7wZomcjtjN05+qSWzx3k522octW1ny2l7cZhGjoGrJzUtWqzzdmROXXusXOza48ZPIg4UGXMC9ZfFmG4yfeW8OC/N7ojcF+R8p+B4CRYqxJSO3r4yLiWxMAyBvjvbBm0/cglfvp3ofhj6Tesn8/AI8gQV16kV4zTRmYiSTzBjaZY50TSy9tzgNA2WOdl9xZxgwxJx3M7Se4w2hIK+nUoKVBqqppllydRhTvTMIxMd6sG5S6Uo3bdT2s12XxGntjuC5JlGTq9eG/C0RLadr74zqQgzWnllxGa77ho5048ePJcPtxjk2Ka008Ckcg3gXNeXVWmuwinOfY3LAwnlhE4pIrjcNLppscEl0aFQGqqduQtpqOq9KzHbGMYymOWtiQg1Rckn2ebM2bM8vT4PwnN0RHTHj1193PrpP/r2pW+VLp6isz7e8eNHn92rOXqWIFwo4tTkPLr9cOadfP3+56fP1zbfe9jXLv786u7T6/Ov3bmirUwXc/LJ9FVqRXnggNQla1wqA2X3VYiq7sNfUytWCPrA1Api5sF21hwhFPzos3tzdJWLX7//edw3zgtxwhVi2xn0LM7Ov3n+VUjsHm564pRfjLTvNTro1+M235BWrFixYsVLhNt8Q8Jat2+nJNa4pDIBl4ojBNMg307aY9RK7muUXWamHG1pXKUD577m3mFagHVsu69yN5tuSmLRl2p9bLtjfVnFwDBe5KUE1riUHwR1t7QJi9J40sezM2YqKJthTpWLsOLjiXLoN/bThohkm/GkmYKbo5tGrl2co6tdRJ/NV+8cKhc3XpNMrY+WU2qlaWYZKuZ4fdAJR90ITBtJbH1ZNc1sOGP2k8VgBLAF306mr6T3Iq7rrtvumILDZIg55mjpwCghLQdCRPVllYYKi8/czjZY7kKOtnpSl0dv/CYedTVh9kFgjtPIltM0MiGItpuMS5g5bfxkfZShksWvg/OLqZJ9cEzBQcdhg4WWxHLKYiCFyA+C4Vy5yJy4C2fb0DSzph64VAQv3M5ZTAoOb/HZ03MimqK748fm93rmmPsaCSB5SVtAVykRmdFNFzOGUccfXpmtZDH5wWkmigSKU0JEsNMuwqkjYvODgEd7taBxwoyNltxeIoJrB5OtNFS5WaZZsGG5bMRcBT9Fdwj19cE//XDXuPnDz3ZE1NVHImqaOYmdxL368BeNm4kI0oZDUFJBFrPdrr0OkTEI2KvsMqZTtYuYeGk/UxOzy4jcxeBgFqvyEx/pwPlB+Lefn/fD5nC5te0MSQj0HdZHyIuMGDtwP2xqFxs3N27+1r3PYEW640d/cd00s+uZu3DejhrDEe008jTyN86fb9x8jOpw+qf+b7LinwW3+Ya0YsWKFSteIqw3pBUrVqxY8ULglt+QnBdwSnUjIIjANUnvc7QgT0ROdTVENF3Muv5cqpRhowlq6YBT57QMjtJxMcQpR9v6Ca4m284bP0EQgQ2qxUeMrmBHawemZx4UIrNW4FQugt+Q3psmYk3etxO/ejAuZZel9ym47e56eHLedddoi8GfUBDs2utjqO+dHWWoclRi8PrgYU462waMTBhqf3HNHOtG0qvX41hpDzrSPx8cfTvFwHUjzJHuh9JFPY6V4QzL0ThWRERbgeai7EN9Wc2PJgglmmbmhTYkIuWdDkuTNye3G9NC7JRFbxmqkpYEKkzEhuE0kvpr4pB2WrmIXbIDu90I0UoWk5uYxJrRxcDM6WwbfDsdw4km1UPgpIXuB8aJ4L1KJ6aRLx4+x/dYhx/HCt4sGSo4cogIopgUnOkmwzkNFc5viQKCusEuC+ymiZCN5NHhMFMryLXCz+0SqoT9NJxTONVHcRfoftAap3ZGkJI2SLUzLmDTTZkzondevbd/9eEvvvG7T3GFTNH10wbHYpdYICL6Ty+e3PHj56EhIkTQxsDYf+8ENqYQmcTGwJkzSpXwko2b8ZvOiw1GW8SayAebls+XbyfN/OWEMnUQuc4LCNI8uhRc2x1tO5to6ofDN+4/L5/oX1y3UGR8Hhrw0mk3n7djzfHegytlX4nOtmHjZiLqp80xVsalF4W1m+UL+7qNuOU3pBUrVqxY8bJgvSGtWLFixYoXArf5hsQcVbr2oZ9GZo5QTzEnhAoTkfOSnm7AcmgUdDubaBAebNsZJAwRxTbZYEC+mb6CtiqLgSyNYFpyaRIH8ZVdgm2IyO3GHC2yfzTZeqjQtZO7OQXXNHPlYuxk3G8g6Ko5bi8OeHkSiyYeBIGD8SOi9tEVEXkn986OQdizHPZnn11viKhrj57VC2V9NKODlar1k4iznJjT3fsHkB5de2ROcd+EoVbWbitJLLNKuYjIcmq6MO43V0OD4wKNhrwiPczLugz+3CUo34rozvoo4oioboRxIIvk77wdUXrEnGSorg8ebFVJS8piIIdbzmxCdFDbHSGpKjuZhkrL3aM1nK2PTRfqRmwwOE3jWIFU3PgpDLWI23UDmDfeV3UjuYn5QUhipYuFyO2HDVi+q+DHsWJOuZt1bF3SoKZW0lBp8NKBuXf2wTG1YjkV95UWxrdz7muMoeUEqxyGqG6E2xkJ2chDIqJpZN+qO6puBHwvlVimBwG/hkZ5FLGXATFNrDl+4/z5GJWB/PnV3SD8jfPnQVjENs3cNLN34p1s3Lxxc+PmP7h7uWuv2+548jYtV8IU3be3e9vOCIjyLF19vFdff3a92bjZOI3wST6XpPb5VQ3ygVuOiEw3xcDnPuz7tmnmU7u8S9w7yCCJKHczc/RO7viRiPpp87t3/36M1R0/fuv8Wc3x+uDv3j+g15yI8KqzbahcPMbqGKtvb/ePNs/TUJX9X/Ei4zbfkFasWLFixUuE23xDwuPS0G/yv7jCSj4e/8fez4+m2Inl1DRz7mYkF6CwMu6b3M3leTb39XZ3TWJtOyefaSvS+/rhoEvZYrMY+2kDQ4nlNEeXxaSnGxkqTCZoMcowx1QW7TmViATDGVMHItpeHLB+PomDKgGiibNt6PuzMjOoG5GlGwbWkCm6IPyf/f7/jSX6aZmLaIVSN6n1x8WNn5gTc5yjuxoaETeJY47toyvsZN0IvFnjWHHvBIkJnDb+1E6EzeIJfeg3TTNbTrFNzAnH4naj5YSdGcdKxOKX2+4omHuJGcfqbBuYE7z6UKDgXMhQ4ZRhlKyPlYs4oXN0zLFpZuZYuYh4WcN5jg5mnRQcfXxGB0YuwMZPeConojDUcFNt/ITyHuhHuJ2NS/FimkYmsWmo1IHEKY9OpzVL5ARzCkNdTgR+kpY2LOOS6SvTTemhKjWYUwoORboQmGCCGAOXImO9GJbYhe3uGuEaSSwmTMwR/bBItiUiGaqx99zOGENcctbH6pUBl5wNFoWqXzkbMO/52ubzO3783bt///88u0NEKD0ScZWLIfK9+pqIPj12mCd9e7s/7M/Kp4a7cK++PvcBhrPiIbsKHuIIXI3LWKXcRCiJcBZScEksFBB4uXGp5D7Aftd0IUcb25RH1/dn0ApdH/y9+rpx8/36uquP9+vrz0MDzQURdd11+bzXHGuOuAKvhuZf/+LB/fr6fj0cY42es3/sfxy/SZhZvqivX/9Gb7/99nvvvYfvv7/g7bffJqLHjx+//vrr3//+9/u+/40f8L8nbvMNacWKFSt+C/GjH/3ozTffxPeffPJJ13VvvfXWW2+99cYbb7z33ns///nP33nnnT/90z/96U9/+uXu569ivSGtWLFixa3CT37ykz/7sz/D95988smdO3ceP36M6dG77777ve99j4jeeOONDz744Mvcy38XbvMNCdwOlu7B9kDmgKV+qBuuD169I6OzPppuQkoNclSTWNNNaI9OQ0VbKe3d9UfeoNWGc2wT2BW8rx3YPjhi+0RkXDrbhjRU1wdfNxL3jaanEBFRg05xjsdQI8hn37fMCUvoME84L+Cmxn2J54lY7CWib2/3RPSVs+EP7l4S0e9//SkRvXpv751s/AQ5QN3IrhtAgmFYsJ3zdgxDXTp+iEjEMceNn9ruGPcNes3H/WYa+RjqVx/+QoYKq9AlrfLu/QMRNc3cProKQ42NYzROnNXTDaQH41glsYf9WRn/jZ/GsRr3myT2a3euIGdouoAApI2f6ka50Dm6tjuOYzX0m8rFcaxqjuftyBx9O41jlcVwOxvO6eEId1fTzCBOYRpzXkwTRewc3STOt1PTzOCgND5qqFAQBRIP4TeogCKiy0/vYvB9O+26YRp57L02Ni0sFoKaEESL8ytioXqAGiUGhngkjw4hqsh4RZk3jFZEhP4tjCG3c+ViKblHKBG3s/XxvB0xUPXDgVulmpUZhrijr8HFgVjD9+ft+OFnu2+cP2dO08hbP10Fj7f7PDT362siOsbq4uHzHG0YapjGNm72Tn7nq7/42/2ovc85AAAgAElEQVRDXCq2nb9yNngnH13d//Z2v3Ezc8II42KeRkZf13Z3XTcyRbf107jfiNizbfg8NPDPbfyUo+3aIy1d7zqYPp5twzFWT6/PEQJ0jNW3zp/d8eNn0xkR4WMCPH3aTeI2fmKO5+0ICvHZ1G7cZP0pE/nLxYfuf8HXP9sWPvjgg88///xP/uRP3n///cePHxNR13X4p08++eQ/eDd+Q+AvewdWrFix4rcFr8b/8ovawj+4J7399tt/8zd/893vfvcv/uIvbv78Bz/4Ab557bXX/uiP/qjMnIjom9/85j9xZ75wrDekFStWrHjp8cYbb7zxxhu/+vO//uu//u53v/vaa6/1ff/Nb37zlVdeeffdd1977bX333//Bbwh3WbKDjiGeo6u5jiOFQgiiOsgG6sboWeexJpuSsGBZoHCCpU5RHQ1NGmoTBMhN4KNZn71WPRXyPCG2Gkc1QdDRBs/Se8RkbK9OFhOSOtBUjJztJzG3kN51bVHf3F97+y46wbm+NU7hyk6RMgksXN0TTMTpyS2a4/3zo5EFCK/ek/5ut/Z/mLj5n7a/M72F119/PnV3cbNc3Tb3XXrp2nkcx+geWv9hJd/7c4VSLCzbcDgwHFFRDXHykV/cY1DvvewP9sGkIQgGw3npguFoGv9RESVi3fvH/A9Co1ytCAA64cDtgBvDbdz08wbP0ElxZy2F4euuwZxdLYNX71zKCcOtUnjWI1jde/siIp0aOQgJhRxCC4qNfAIrcHZOW9HIoIarWnmBw96CLE+e3o+fdq2fip+NeQ/0dIir0PRCIrhieji4fPaxeJkytFyO9uBY2AcXR7deTs2XZChGvoNssl5UVQWYFS3F4c0VF17tKqjS117RNsTiE2o+L66u8KrDGdYfzCA2LdjqD97en4MNXOUoXJeppGLWo850lbAbnX1EfI5Itq11zVHfH+2DYdQD6EGU/fg7IqInhw7IhpC7dvJecmcZag+PXb36muQfmGokfN0r75+uDmJtTZ+UuvSVqDY7Npju6gccb7uPezP2xE//LtPHrR+uvo/7/t2AomaozVNBC8KNSkRfev82WfTGVhHcHf36muoQ2uOh1Bv/ZRHV3PcohWMo3fy5Nht3HyMNRFh6L58TPKFff3j8Md//Mdvvvnm48ePf/SjH/3gBz/A0tHjx4/ffPPNf+cN7MvFOkNasWLFituGQtz94R/+4TvvvPPee+/98Ic/xOrRW2+9dfOvLxRu8w2pchFrniKuPovn7Qi/Cx6Zx7Ha3pmeP9v6h8M0ctddP3+2JaLc19tHV+W1ua/jVoiTbyckC3Td9THUdSPUCBE1zfH64PEIvPHT9s705OldImqaGWkLxWP0/7Z3djFyXFd+P+xbdW9XVXdVf8+wZ4Yz5HBESkPrI5a81hCGFQFxyF0sVqITUUgQYITAgl8iPYR+swTDgJPAIwRmHqkEsAUEKzqAgjzEFJB1VgtkhsHKXm9MjkVZJkVqPjic/qyqrqq+t6p68nC6yyN6bUvkUNMc3R8Ioqe7+t5zP7pv33+dc27MlUrF9jjNFH18Mmt0A6UHAHk9YEokItLhtGj4GK7hcQpJ2DmnGhMYrkFJzJTIYGJUc1pCXw+sum8cs9aDmI5qjkaERsI/qdwAgJ83pjJFHwbhGlmji+UzErV8jZFoMt+q+4btaYrSA6WnWX4YkygidqRh7E4UpbJGt2j4mFXT4ekkoktRYsUK0FuEkhi2/QrGCCHRVfbZan5/E5+nSoztMpjY3LQMy8MGGkxQJQCALOPX1ksppZfXAxETjYkwJranYY1Fy8NykguyRtf10ul0aBkBGCAiQpXY9rRe1MtVO3ix66XzhaDmZHDQETSvPNHpcIrxXjebZpJYVlFi3EpiJtMo6t9sx1/0Iia4WxIRISxKp8NuBXpRCvshX7WpEodxPFJte5ziKFtGICLS9jKVii0igkMZcGowASMdrChtcY0J7B98L05R3KsVLa9hG4RFBhM4GbBMDNYBgPFC2+VMrfTjtLpdtWh5Hqedhp4km8CgnMt2FQ89Kule0hVhTPJ6sDaIQLraKeE2yGCi0TXS6dDjCmERBgP9ojFe0j1RILat6xm+EZgWDSq6i/snqsSoQKhGN8NEy9coiTucjppuw9MzTNxsmihOiIhkGZ+e2Gx4evELNQCoNbI0HeUKndZmFvsz+exoJLwx8ICwhTaqORuBiUfHAkCGCRGTkQP9mYaFVzW7QD09Jfwe3X6u7ueTubm5P/Dn8PB5HyeJRCKRDAlyQZJIJBLJULCXJTuqxAAijMmo6TLSj4EQMRERwZu6ADC+v1lzMpblZ5hwB4lQURFqbTLFCNmIj+IV6gODfDYxDCRBjBBCCQUPldEz3GDC41REpB8uQ2JB4umJTZezvB60fM0ygloji3fCVRKbrIsH7QScciZM1q37xqjpNkicYWJtMzdWaTMl4kx0OGVK1PB0tL+q2RoJeawEMdWIANCbwkDVZTpT36dsYXUGE6vNXNnsAACPFB4pmC3GogElMUpSDdugRkyVOGtyl7Ms464Se5yiXiciQkn8WHH1V8pow9MBAMOqsB86nGL/oIxjMIGtg0zfvyPglCqBGGgslYpte5qixGieSmJsjp7hyTNYMvpfiJigxOTwdNboMiXCRmHiGaZEjEQ8VhqeriixVQwAgJJYxKRoeUyJLCOwPQ01QJSnREyYEqHZTInwQB0Ul9Chw/XS6A8CAFnGs4wDAPpcoK9EhvUPVUIxEO1HNdX2NKrHdkRwVuDkMayAkr5oSZU44P07/CIiCka2GTFTorLZYUrkcaqSGNKgkrhhG/sLDmrCtqdF6OxAYhERPcP9Dhvf3x7VHB4VAMDjdNR0ua60fC05AQunlkbCpjCmM/UgVruDmB6DiZLurTsmZi8FgAL1g1jVSNgUOiUxaoa5QifgFE8ER6+HDBO0GDdswyoFWHiB+uuBRUlctDxK4rXNXLHqoxZdczLMdAJOXS89VWm6nHmDTLUPF9eTjsXRB4DA4rat40FcKomxXpN1UWw8mGkEsTqqOTiZYXAaE1Oi1WYO5Xfb1rVq3zOlpHYSPXb3CcM/fs0nRNuxkoYHuUOSSCQSyVAgFySJRCKRDAV7eUGyPQ31GdzXj2fbAJBlHJWWku4xJWJKNF5oZ5hgSlS0vCgiqAgBwEi1nTW60cBJqdtVM0z0j7sepBLHnNnbK7VogIUbTGSYwPghpkRFw7dokPiV2Z5mWb5KYoMJqsQ8VhiJioZvGYHJunnqUxJbNKBKzJQI9ToYnFMOAEXDtz0N40s0IkY1pyl0ANgIzA87xQL1qpodxGqu0Gn5WhSRLON4DjTqLSbrhjEZ1ZxurHY4Hc+2S7pXtLxbHxUwE0yWcXSrO1La5JGyuWlVTQeTQzMSZZgAjIZR4kRtm8y3qBI/OLGBqsuhat1gAtO3dDhFVRBFKjwFp2x2DCaYEuX1YLa0AQAuZ5P5VodTg4mq6aAmxpT+WTioO4mYoIQ4mW8lh2cDAIo5VdNRSUxJnGUcrcVrSronuorrpXHUUABE4RFFue0ZaAAgw0TR8kZNNxHZEEpi7Ki8HlR0V2Oi09CpEqNUS0lc0V0eKajxYoeHMSnpnkpiv8NQJ0RXwPFCu2j4o6abYWJ/wdlfcLKM40QFgM6tTIYJtE1ReqjxYpmYKslk3QwTo6Z7qFpfuzJywy2gAahO96ei5aOciOpWEKvN/oTpq0YaCbOMp0lYNR3Ufj9ol5tCP5ypYayPiEk/qkyJuUeDWF0PLHwjUyJK4pgrBeqjXgcA05l6f5Io/fAppkQ8Uspmx+Fpywgwr1VJ90ZNVyXxTK6GHxmP0yzjeT0wWZcpURSlDlXrlhFgqNxGYGokRAvXA6spdKzU5azla0mNPFIUJR6rtLHt2Fi/R+thBgBwWkqGnL28IEkkEonkPmIvOzWMF9r4K5gpUd03ZnI1vO1ZNjsWDbqxykh0tVayjCDLOCMRJwr3qGUEPFIwqAV/+aIrBP7Y7N/9Vn4bJ4Tnh4qIVE1n3TE3nCxuC7BMvN8OAA5P26Btv0mOP4fxLjo6GuDv6zz18TesLTTcqQAA3ucvGj6a1PB0jYmqZo+nW36PjmntnzcPjGntg5nGemBhaDpaXtFdjNuAQYj7ZLYJAHVmAAD+OsbqxrPt0lEPAOq+gTsDpkTdWGVKNL6/mSZhlvGrndKNVv5IaXP1ZmEf6UUR6XZV/HWfJmFJ99Ik5IqCP1fRDYFHStHwG56OSSUw2F5RemgYAJisG8QquoTkqc8NZcPJjmfb+awPADhS2Jl4Cg72cJqEwACfwV0pRmXh/gkASrpX940Opx1Oq6ajZ/io6bqcoTF56tcVw+O0ajo8VspmBx1JwpjgM9snEp7Gi/9jP7icaSSsmg4AUBLjUNacjMm6Fd0FyIqYVHSXkYiSGFNmHKrWr62XShMeMMCO6sZqnvp/f2sMJ4xFg1WeAwAMqUE/l0ak4/zccLLjhTa2lEdKmoTvNytH9m+mSfjgIzdwKDf9LE62iu6KmHgY6gQQxOqYZgMA7mMA4Ji1ftmu4rijGfjqeLY9prUBAP0IKIlvNk10Q2CGQH8HvHIjMDuc7iM9DF0qqh2f0GTa56nv8jLWhR4H6JLQjVWXMysbAADOh/XA4rEymW/xWMEm4yFJ/c9jpOT14GCm0T/WCEDTbADQiLjaKQGA32FRRBJvlGSP1fD0GWMTDfB7VGMiURd2ly2xc04NexG5Q5JIJBLJUCAXJIlEIpEMBXt/QaroLkbbBLH6kLUxXa4nN8kdnp4u1zHEBABuNs1Kxcbtf4YJvAOPsgwqeEyJMkzgnW18i0piRemNF9qH8o00CYOBSJImoUUDh6dRvsCLG56Ob0RdBSOKsHymREdztzQSVnQX1RK8jJFoJlfLMo73+fEZfHuGCY2EOhFrQQ4GshWKMHg7t0A9dGGAftoYf3ljPwyEO4z/KFA/TcKNwMS7xFXNRms7nKLiBACjmlPR3QL1RzWnqtmT+VaB+lvRvrFKe7zQxkigUc3Z9LN56ndj1aIBIxFKNDxWOpxiOd1tjdKYwBOpMX5o088eyjcsGrSE7nKGEhb2xuFMjcfKqOakSYjNOVLaxDyhADCZbeapbwstuVHPIyXLeEV389Qv6R46RwAA3u1HVxEUi9BbIU1CjFHDZJ2wzXuCR4qIicm6HU4tGjAlsmhgC82iAR6hBABFwzdZd/WDSkn3ymaHx8qYZld0FydVVbM7nHZjFWs/VK1jdag0bhcGRzWnQP0s4+iRUdI9bHXVdEq6t+FkJ/OtRGdmSrTq5pJcSmkSpkmokVDEBPtcI6E3cNPYX3DGNPsXjfGi2ilQD6dHENM0CZtCx/7HK39ljw5OQqKo8pmsW7S8JFitKXQU6IJY5VH/fKzEd6ApDD0lcB4CAAqbq80cDlNVs22h5ak/nm13Y5XHSoH6LaEnn5GGp2Pn4Gc2TUIMFGNKhIM7kW4GsTqebgWxGsT0mLWeZdyy/PFCu6K7KGUzJcpT36JB1XT8HvV7dLWbD2IacJoc+CQZZvb+giSRSCSS+wK5IEkkEolkKNjLCxL6dyXaDj7gsZIoS0kyEgBYd8wj+zcxVokqcRJzkyZhy9f6ggCJMCyGxwrKaFTp593pxuqqm1OUOPGLAwAsP4jVPPXXNnNFw8fq0oMzadCnbiZXs2iAckpyevTR3K3k7BkMDMpTH6WePPWrpjOZbRbVjh/TR8zVIKYPm2vv3Jwpqp2nSr8e09qJhNWN1VHNCWJVI+IrB67iMzfcQhCrWNemn8XDpxMHqvFsG0UtPOomKQoAxtMtbNHhg7dETBiJ0GcPAJgStYS+7pjYQOzkpCu2B/qkSYj9iUmPDmYaLb+vgDk8TUm84WQT47H5mO2mQP2ZXA0fBLGK2pRGQh4pGgkxKqsfCURCtD9P/b5CGyn46sfO1NGDbqxWNdvjNIjVouEbTDAS8UjxOO1wSknMYyWMSdIWPDAeY4zQtjz1/9EjV3G4MasNynpjmh3EKvYkDFRcAKj7BspQFg2W66OPjqwxEo1pbRTQJrNNLBMdI/GNR0qb2J84H0Y1ZyZXK+leVbO7sYrnYAFASfew2CBWHx1Ze3RkTUSEKZFGxFzlGgD0HdVIqBHxsLn2sLmWp/5D1gYMjifH9EKYMD4YVNeNVZN1KYnHNHs9sIJYxUQ+2iDfvEbEZbsKAH6Prrq5dccMYhXV5tnRmziFglhF10Qc9IanayRMkxA/I+iyWKA+zp8C9cc0e1RzMHqvqHYAwEjxG27B79GNwEw+4DA458mifV9ZjYTXWkWHp1HKBoBfNMany3Xv46Fmu8WWEDv1b7ebck/YywuSRCKRSO4jPhcL0phmJwe9AMDP1g44PI0/jTf97KjmuJxRJa77Bl6PUTjoblCg/mS+xUiEsSMuZ3XfSFI/4L1r/OWLe6ZRzcEfqu/XKwBgC+1aqwgAh6p1vGwy27SFxkg0qjkYG6GRcEyz9ZTA9JRJ1AhuYm64BbxPCwArK0U8kwZvRJdVVyeirDgaEWXVfWr/B2XVnaK1B7X1iXQziCn6KRSof6U90hTGX737hQL189RHBwoAKFAPHweDbJuYWBO3JjDwkkguaIQZ3Ivgpi1NwpbQMZAIb0cXjb6LQbKvOpRvVDV7ulxPD57EcBmsCytFR4lurGL4zqMja91YXQ8sh6eDmOL9cNwdohdGsgvpe38oEQBUNTtNQltoeLpoYnOahFdrJaZEONwHM41Vt3+nvcNp3Tc0EhpM4KYZR1nEZDLfwmsOZhqjZt9FYtXN4XZkVHP+/tZYfjAQaBU+bgodU2Bg0/ABekNgx5Z0L7Ecg8CSMKCqZt9wC9OZOmw7FzXpzDz1sSIckTQJ8QgiGORimM7UMalBMgToKgK/3RsJ3G1MsgYA6EQAwNVOCTfQycGveHFT6BuBOZ5t81hJk3Ay29SI+FL+erL/rpoO7lODmE5n6gXqrQW5mVytajq20PDTNKbZ4+kWNoeSWCPhDbfgcvaV6jWcabh/KlAPS3h8ZAWbXFQ7BeozEhWorxMRxLQWZiezzaYwHrI2NCIAwGTd2dJGkg3W5ayq2VfaI4fyDRGTltD1lChQ77HiapqEj46s7cBXieQe87lYkCQSiUQy/MgFSSKRSCRDwV5ekDBsBaWbK+0R1EYOZhqzozcfK67CIEdkgfol3RvPtj1Ou7Ha8rWK7uK91jz1m0Kv+wbKQRoJRURmcjWMbcLQnPFsGwMsUKwb09pVzW4J/cnqdayuHwejOZt+NkkK6fB0a5AO9Up7RCMC9ZOnSr8OYrWodlDoaAod3THQAeHwwVt4RxolGq/H6mHG7/UdB5rC8HrM6zG/x/yY3tYV64H151/+OywWRRKM5xj4MniJTNcSOgp9qKrhlQBQoP5aYMHAZwFvJq87JiatudHK49tRu0NV508qN1B+RBkqEQzxSo2EeFccxSIeKzO5mi00lK3WHRM9JjCA7GjuVmLJjLE5qjk4sqgWftgpftgpFqj/kLURxGp1kCkHlavpch2dEVBdnMnV8KXHR1bQjcXjdN0xcYYUqG97WlWzD+Ub2O3oJYExNADgctYSusEEvopVjGk2VoGDVdVsjNrBdmkkxNv46FOTJCTND3xYkomKTUYBEzXbltAxnU+iTWkkxHHMD3L5DJRV8ZC1gXVhKtUxze7G6lqQawrd71EAwP8TCtSfztRRMcZnLq5PoSCGgWLoXDCIbzMAYC3IFaiXJiFKqSigoRKItjk8jZ8L9D5ohBmULiu6qxHBlOjh4npR7SRt0UiIIiGKzNginYggVlGnxS7CcnAO/KZTLg1qxP9bQh/PtrED0fkF54CeEhoRGIf3ib857iFbItypf7vdlHvCXl6QJBKJRHIfIRckiUQikQwFe3lBOpypfbHwEe7xHyuuDnbu3phmo09REKsWDTQiULX4s6llAHh64oMxzZ7O1DHCA+NyBj5pPgCMae0xzbaFlmRS+UrpN5h9J0/9ktrBYJ0C9VAZO5q7Naa1W0J/rLiKwUZP7f8ANcMvFj5iJDqau6WnhJHiADBFa4czNb9Hy6r7b8b+qkD9GWNzPN1CiQYDhtaCHGo+K92CnhK1MNsUxv/c/MJx64N6mKlF5i/cA6jMJJmYoe+vJQDgg3a5qHYSsW5Ma0+km3pKDHy9vOrAM+pwprYeWL/plMc0GwNl0F+xG6tjWvtwpgYAj4+sjGl2h9Mnq9enM/WDmQZKUkW1gz0MAA8YtwDgy/kPj+o30Sq8ZsbY1Eh4zFrXSHilPXIw0xjT2tghRbXztYkrLaEX1Q5aWKBeUxjrgTWm2Y0wU6D+cn30cKZ2wy1UNftgpvGQtTGebmFjC9TDcS9QD8cFBytPfRyL7XFX6Ob3leo19B8rUO/xsY8K1HvY7PtlbXNK9K92Sk/t/2A6U8fcSzjBNCKw/AL1MMl0gXooWK07JrrkVU3nw07xYKYxmIRtzIJToN7hTG2SNZLIMBwmzI2Nk1NPiRljc7tepxNxOFPTSJicXVSgfkntNIU+nm49PrKCzxTVznSmjtMYU/uUBmowABgpPpFuYnV+j2LvPT3xwYPaukbCB4xbhzO1tcDaCMwZY7NAfUwt/4i5qqcEjj4GCZXUjk6EnhJY8lzl2oyxeThTQw1zLbA0Ek5n6ocztaYwvlL6zWPZj1CRawoda59INwGgKXQcPgDwY6qRcDLbHE+38ECjiXTzYXNNTwkUSI0UR8USpdpktuO/AvVx1qFhOEY7/xUj2Wn28oIkkUgkkvuIfVtbW7ttwz3hyJEj//GCCgDveof+ufXz/2Z/say6eopP0dq7/vQUrU2pdW+L1iKzFpllxZmlG3/bnQQAI8WNFL8uynqKfyl9Y1mM/sw7+KC27vfYFK3h81O0BgC1yASA66I8m15N6sULKorz3xtffLb48+ui7A3e+IR+1e8xPcX9HrsuymXFweo2IxMA0DdhitbKxDX2Rcti9Evp9WVRxCtx/4Qsd8enaK0WmXixt0Wvi/IUrRn7xDveg2XFqUXmE/pVNKaiOJuRiY3yesxI8b9xj341e8XrMXyX12MVxdFTHLulFpkPpVfxMdpci0y8xuuxWmTWwmxZdX/aOPr8yN9i27FF+D9WgRZOqfV3vAefMt6rxVk9xa+LMjbwgv3I48aHtch8QrtWi7MAsBmZfo89oV1b5mPYsVO0ZqS4nuK1yMS2v+sd0ol4ynjveljCl7C6suL819rc1/KXserrovyU8R4ALPMxI8Vx7LCB10W5Fpmz6dUycWtxFo3Eon7VHZ+itXe9Q39q/r93g0MPpVf/xn2wrLq1MKsTkbTlCf3qdVGeZWvvBoe2TwN0JEED8MmEzch8L6h+NXsFANAGfPsUrS13x7F7cRrgxWhqLTJ/5h2cZA0czaX29CPmKo4pmop1eQN/lrLivOtPz6ZXr4tyLcw+YVzbPlvKilNRnH9/9U//9eT/mWVrAHBu8ymNhCdyv8RBwTG94u//t5W//mv/YEVxcN4aKf5QehXbiNX9KhibZPW/60wd1W8utaf/ovSL/1F/7OX9/wsn4Sxbq8VZbPI/y717PSzN0o3Nnl6LzOTjhi3FwsvE/YnzyCSr4wcNP4n4iagoDk5gvPjX3si/LC/9qjuup7iR4thpeDF+Xt7xHwCAZOom3QIA/3njq3O5q3qK/4c/b7z//vt3+81yFxw5cuTABw/vVGkfzfxyd5tzL7jvd0gLCwunTp2an5+3bXu3bZFIJBLJnXN/L0hLS0urq6tvvfXWyZMnz507t9vm/BG++U+Hq7f/y7Mf7rYJH+NffS292yZ8jP/0F+u7bcLHGLb5AwCv/Flnt034GEPYRZJPxf19hPni4uKJEycA4PTp0/Pz87e9qg9krjLZaoSZh7Q1I8UrKR8AyopTIQJAAAAKBWWydYOXnjCu6SleSflvtx8+kftlmWyVFaekdlCwKhPXU5iR4geVjtdLYed5PaanuLGvf8v03fDQV7Orxj6xHlhl4l6HMupCqB6gvODtE9ehXFYcv8emlP4d5kSuqRCh79uXXA+03xaswtuiZcVJXq0Q4fUiX3GwXYCSI63hn77ilIm7/e1l4k6yhp7ieooDpMqKA5GJVmGxXo8lXdR/rEAZwNgnftufivPl/IdlxfmZd7BsuMa+CFI+AHj7BFZUVpwptV4hAvvZ2+KVlH8hqOop8Y/1D7GE66JcIQLA9bYodi8M9FJ8gK0DgErK97aUsuq+dfOx+Qd+WYt50o04WA8Yt6bUOgqDXo/hu37CS1/Nvod6HV7vK857QXUq0zJSPQAXB8XYJ4x9kU9rZeLqRFSImBr0HgCUVRdVwX5bUj7QWoWIpfb0v6j830rKN1I9ADB6zOsx6E8k19uiyXwAgJpqTiktb0tBG7AoPcXrYaaS8mtglrcNH46Xodavq+VkoMe09jv1BwA+rKT8muKUiZsMKwBgE/oKZ5gtq/1XEzNwXs1Vrhkpjp0znm6tdvPJ/EQdDHQopSjqXWXFwRPI+4YpyQQYm2Vr7wXVKVr7aXwUAB4xV3ES1vqFu5uR+aC2PqWE3pZTJlsAPigwpYS1OPJTDPsnmb06ERXFwQ9aMu6/ne0K+3dXTr78wP/+NYxUUv71FEcpz6C1vpS9T2z/vABAPcygSoyDDgAzxuagJ+VyNezc3wsSAFiWhQ9WVlZue2nwc+n9v4Ts1/7yszVLIpEMAaf+SQYAb7TI1eg+4P52alhYWDh+/Pjc3BwAzM/P//CHP0xeOnLkyK6ZJZFIhpJdd2rY2QL3nlPD/b1DOnDgwOLi4tzc3OXLlycmJra/tPeGSiKR3NfIL6U/yv29QwKA+fn52dnZ5eXlM2fOHDt2bLfNkUgkEskdct8vSACwtLQ0Ozub3EySSCQSyf3IXliQJBKJRLIHkJ4nEolEIhkK5IIkkUgkkqFALkgSiXcJzY8AAAYBSURBVEQiGQrkgiSRSCSSoeD+jkP6fSwsLFy8eNE0zbNnz3423nevvPLK8vIyAHz3u9/9JN7nt1n4+uuvX7hw4ZO//ZNg2/apU6d++tOffpKL77U9n7bAz6B/cMhM0/yEAQOfgUnnz5+fmJjAQO9PZc/bb7+NxiDbI8R3xIy7md53b9s/2C13PL13tq8kO8zWnmNxcfGll17a2tp68803v//9738GNSYVXbp06dlnn8UnL1261G63P4mFly5dwj8vXbq0gwZ/+9vffvrpp5M/d9Gef7DA3e2fZMh+8pOfYOG7btJLL730+OOPLy4uJs98cnu2v+Uu7fldM+5yet+lbb9rD3LH0/su7ZHcU8h3vvOd3V4Td5g333xzbm5uZmbm2LFjr7/++jPPPHOva3Qc5/jx45ZlMcbeeOONZ5555pvf/KZt22+88QZjbGZmBgCWlpZgkHnvNgtt2z527JjjOIyxZ599dkdMOn/+fDqdtm37mWeesW17d+350Y9+tL3AXbcHABzHuXjx4smTJ9955x1K6bFjx3bdpJMnT9q2feDAgYmJiU/bRckk/973vnfmzJl0+s7zpm83A5+5y+l9l7b9rj1wd9N7B/tKsuPsTcnuD2RcvRegmHD58uVXX331zJkzP/7xj0+ePHn69Gnbtl944YWTJ08CwOLi4vHjx5MP1XYLZ2dnz507d+LEidXV1fHx8W9961t3ac/KysrS0tLZs2cXFxcBYNftAYDtBeZyuV23Z3Z2dmVlZX5+fmVl5ezZs8PQRdv5tPbgg/Pnz8/Nze24Rn2X03vHbbvL6b3j9kh2kL25ICXcluDu3rGwsLC8vHz27NmJiYmFhYULFy6gTm2a5tLS0uLi4vLysuM4i4uLzz///O9a+OKLL54+fRoAnnjiibv/dnvttddM01xYWFhZWVlYWACA3bXntgKfe+65Xbfn3Llzp0+fxm+xU6dOnThxYtdN2k673f609gDA+fPn33rrrZ21BLnL6b2ztt399N5ZeyQ7yB5ckP5AxtV7xPnz5x3HSe6O5nK55Mvu7bffnpubm5ub256Y/DYLDxw44DgOANi2bZrm3dvzjW98Awu8ePHi8ePHl5eXd9ee2wrc9f5Bthc1JCbdsT0AcOHChSeffHLHLYG7nt47bttdTu8dt0eyg+zBBQkP68PfdGfOnPkMarx8+fLy8nJyQuDZs2dffvnljz76CD8qf9TCiYmJl19+ud1uX7x4cUcMTvygTNOcm5ubnZ3dXXtOnDixvcC5ubndtQcAnn/++fn5eRy4F198ES3cXZO289xzz30qewDg8uXLO55ceGlp6dy5cxMTE3czvXfQNrQnWRrvbHrvoD2SnWe3vSruFYuLi7/P62ZIDLjtgntt8K7b82nL/wz6ZwhN+gPV3cEF945hs23Y7JHcGTK5qkQikUiGApmpQSKRSCRDgVyQJBKJRDIUyAVJIpFIJEOBXJAkEolEMhTsQbdvyecH9OXd/gz69f4+D2CJRDLMSC87yX3PbeEptm07jvOZJemQSCQ7hdwhSfYajuNgyrLLly8vLS2trKycPn0aY2BnZ2cxzc+FCxfefvttADhx4gRmP5NIJLuOXJAke42VlRXMrfnqq6++9dZbtm1//etf/8EPfvDiiy+eOnUKk5u99tpruKOan58/duyY3E5JJMOAdGqQ7FlmZ2cnJiYwSczJkycty5qYmFhZWcHzCFZWVlZWVubm5t58883dtlQikQDIHZLk8wmmggYA0zSPHz++2+ZIJBIAuSBJPoccOHAAAPBm0sLCwr1I1y2RSO4AuSBJPnecOHHihRdeeOWVVwBgZWVlx08zkkgkd4Z0+5Z8TllaWjJNUx5DIJEMD3JBkkgkEslQIL3sJBKJRDIUyAVJIpFIJEOBXJAkEolEMhTIBUkikUgkQ4FckCQSiUQyFMgFSSKRSCRDgVyQJBKJRDIUyAVJIpFIJEOBXJAkEolEMhTIBUkikUgkQ4FckCQSiUQyFMgFSSKRSCRDgVyQJBKJRDIUyAVJIpFIJEOBXJAkEolEMhT8f7oA40lFy4AoAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tic\n",
    "st = (25+26/60)*60*48000;\n",
    "specgram(yr(st:st+10*60*48000))\n",
    "toc\n",
    "colorbar\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "0c059059",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Elapsed time is 3.91086 seconds.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tic\n",
    "st = (25+26/60)*60*48000;\n",
    "specgram(y(st:st+10*60*48000))\n",
    "toc\n",
    "colorbar\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "cfa5d94e",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mscohere(y,yr,[],[],[],48000)\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "26de96fb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans = 48000\n"
     ]
    }
   ],
   "source": [
    "length(hann(48000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "aeb4d022",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mscoheregram(y,yr,10*48000,48000)\n",
    "colorbar\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "9451a1d4",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mscoheregram(y(st:st+1*60*48000),yr(st+0*48000:st+1*60*48000+0*48000),48000,48000)\n",
    "colorbar\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "63d3d0f9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans = 33.333\n"
     ]
    }
   ],
   "source": [
    "2000/60"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "18dc4d0c",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mscoheregram(decimate(y,4),decimate(yr,4),12000,12000)\n",
    "colorbar\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "5ba9b4fe",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Elapsed time is 12.8648 seconds.\n",
      "im = 2.8782e+07\n",
      "ans = 17827\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# lets try xcorr these?\n",
    "# first test speed with something smaller\n",
    "%t = 60*30 ; % time in seconds\n",
    "tic\n",
    "it = xcorr(yr(1:10*60*48000),y(1:10*60*48000));\n",
    "toc\n",
    "plot(decimate(it,48000))\n",
    "set(gcf,'Visible','on')\n",
    "[~,im] =max(it)\n",
    "ceil(length(it)/2)-im"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "84182115",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Elapsed time is 12.0025 seconds.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tic\n",
    "mscoheregram(y(1:10*60*48000),yr(1:10*60*48000),60*48000,48000); \n",
    "toc\n",
    "colorbar\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "45d0f261",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Elapsed time is 1.64558 seconds.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tic\n",
    "mscoheregram(y(st:st+1*60*48000),yr(st:st+1*60*48000),10*48000,48000); \n",
    "toc\n",
    "colorbar\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "0e4c26f6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Elapsed time is 68.8058 seconds.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tic\n",
    "[S,f,t] = mscoheregram(y,circshift(yr,5*60*48000),60*48000,48000); \n",
    "toc\n",
    "plot(t,mean(S))\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "5b1437e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot(t,mean(S))\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8cfcf09c",
   "metadata": {},
   "outputs": [],
   "source": [
    "thetime=(44+100/60)*60*48000\n",
    "mscohere(y(thetime:thetime+5*48000),yr(thetime:thetime+5*48000))\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a31ab289",
   "metadata": {},
   "source": [
    "## Loud event detection"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01230c05",
   "metadata": {},
   "source": [
    "Here's the algorithm idea:\n",
    "\n",
    "1. read in an hour's worth of audio (let's say interior)\n",
    "2. A-weight\n",
    "3. time-weight\n",
    "4. decimate (10ms I guess)\n",
    "5. add time vector (in seconds)\n",
    "6. sort by Lp column\n",
    "7. Take top 10% of that (i.e. L10 or above). Also determine what percentile accounts for 45dBA limit\n",
    "8. hard part: find practical contiguous regions that are 'loud events'. Maybe we sample at 1s intervals only?\n",
    "9. parse into text file for audacity label track. \n",
    "10. Open wav in Audacity, import label track and audition every region. Delete if appropriate (i.e. if positively identified as construction noise. If it is a truck horn or siren, then too bad). \n",
    "11. save edited file. \n",
    "12. in Octave, process edited file and determine new a-weighted stats. compare to old. \n",
    "\n",
    "* Note I am avoiding any calibration in the algorithm above. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "45d5fb7a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "A = Todd\tLawrence\tBrooks\n",
      "Todd1\tL1awrence\t2Brooks\n"
     ]
    }
   ],
   "source": [
    "# test build a string and write to .txt file ?\n",
    "A =[\"Todd\" \"\\t\" \"Lawrence\" \"\\t\" \"Brooks\" \"\\n\" \"Todd1\" \"\\t\" \"L1awrence\" \"\\t\" \"2Brooks\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b5f8f733",
   "metadata": {},
   "outputs": [],
   "source": [
    "save -ascii todd.txt A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "eb983349",
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = \"todd.txt\";\n",
    "fid = fopen (filename, \"w\");\n",
    "fputs (fid, A);\n",
    "fclose (fid);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a0210b4c",
   "metadata": {},
   "outputs": [],
   "source": [
    "A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e95c0dcd",
   "metadata": {},
   "outputs": [],
   "source": [
    "dater = rand(100,1);\n",
    "datert = [1:100]'; # \"seconds\";\n",
    "sar = [datert,dater];\n",
    "ssar = sortrows(sar,2);\n",
    "mylabels=\"\";\n",
    "for i=1:10\n",
    "  tmark = num2str(ssar(i,1));\n",
    "  mylabels = [mylabels tmark \"\\t\" tmark \"\\t\" num2str(i) \"label\" \"\\n\"];\n",
    "endfor\n",
    "\n",
    "filename = \"L10_labels.txt\";\n",
    "fid = fopen (filename, \"w\");\n",
    "fputs (fid, mylabels);\n",
    "fclose (fid);\n",
    "# though this is a bit primitive... need to identify ranges\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7388f828",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mylabels = 85\t85\t1label\n",
      "13\t13\t2label\n",
      "67\t67\t3label\n",
      "89\t89\t4label\n",
      "72\t72\t5label\n",
      "91\t91\t6label\n",
      "5\t5\t7label\n",
      "21\t21\t8label\n",
      "49\t49\t9label\n",
      "57\t57\t10label\n",
      "\n"
     ]
    }
   ],
   "source": [
    "mylabels"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a892559",
   "metadata": {},
   "source": [
    "\n",
    "or sometihng simpler, like breaking up L10s into shorter periods (15min? 10min?) Should be able to get a visual sense of fraction of time noisy events are happening.\n",
    "Are they spreadh throughout, or isolated in certain portions of the hour? Maybe:\n",
    "\n",
    "1. calc L10 1hr , and then start bisecting (all based on the same array of values, can `reshape` multiple times."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "685ef7c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "dater = rand(100000,1);\n",
    "datert = [1:100000]'; # \"seconds\";\n",
    "sar = [datert,dater];\n",
    "ssar = sortrows(sar,2);\n",
    "bisect1 = reshape(dater,[],100);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e1b54e8f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans =\n",
      "\n",
      "   1.0000   0.4432\n",
      "   2.0000   0.3589\n",
      "   3.0000   0.4048\n",
      "   4.0000   0.7501\n",
      "   5.0000   0.9832\n",
      "\n"
     ]
    }
   ],
   "source": [
    "sar(1:5,:)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "f2e47cd6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans = 9.8999e-03\n"
     ]
    }
   ],
   "source": [
    "std(sort(bisect1)(900,:)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "f1b9c189",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans = 0.1420\n"
     ]
    }
   ],
   "source": [
    "dater(76)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "19fe11dc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans =\n",
      "\n",
      "   0.042743   0.013728   0.010839   0.059175\n",
      "   0.068935   0.016668   0.041176   0.071467\n",
      "   0.187779   0.052711   0.078484   0.101570\n",
      "   0.191689   0.120660   0.084862   0.141961\n",
      "   0.203954   0.124490   0.093046   0.184073\n",
      "   0.208985   0.141414   0.274442   0.188558\n",
      "   0.233457   0.150018   0.275092   0.204560\n",
      "   0.285033   0.281996   0.314751   0.215928\n",
      "   0.304448   0.305716   0.333903   0.273278\n",
      "   0.356894   0.385935   0.388297   0.393474\n",
      "   0.457836   0.402165   0.448173   0.443714\n",
      "   0.472691   0.408932   0.461980   0.444030\n",
      "   0.492218   0.490063   0.487449   0.450343\n",
      "   0.513857   0.500638   0.514698   0.503588\n",
      "   0.539846   0.531630   0.556763   0.520115\n",
      "   0.561556   0.705468   0.613408   0.526891\n",
      "   0.586328   0.731509   0.619806   0.533281\n",
      "   0.626774   0.787101   0.649291   0.558162\n",
      "   0.704542   0.787504   0.661503   0.651139\n",
      "   0.819037   0.877171   0.718527   0.764724\n",
      "   0.824410   0.911353   0.734561   0.814333\n",
      "   0.834074   0.926204   0.774688   0.835107\n",
      "   0.850952   0.926594   0.829942   0.939904\n",
      "   0.863769   0.932317   0.917069   0.946378\n",
      "   0.869701   0.997363   0.993612   0.966456\n",
      "\n"
     ]
    }
   ],
   "source": [
    "sort(bisect1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "2a4834e3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans =\n",
      "\n",
      "   1.7280e+08   1.0000e+00\n",
      "\n"
     ]
    }
   ],
   "source": [
    "size(yra)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a96f6b7e",
   "metadata": {},
   "outputs": [],
   "source": [
    "[b,a] = adsgn(48000);\n",
    "zi = filter_zi(b,a,yr1(1)); # initial states to reducing ringing...haven't looked to see if significant.\n",
    "yra1 = filter(b,a,yr1,zi);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "53661d04",
   "metadata": {},
   "outputs": [],
   "source": [
    "yre1 = time_weight_exp(yra1.^2,1.0,48000);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "2357a00f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calr = 112.95\n"
     ]
    }
   ],
   "source": [
    "# first approximationn of calibration factor for Rion, based on LAeq reported by meter\n",
    "calr = 112.95"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "6f9bac54",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans = 37.666\n",
      "ans =\n",
      "\n",
      "   58.317\n",
      "   31.387\n",
      "   39.677\n",
      "   39.064\n",
      "   35.487\n",
      "   33.054\n",
      "   32.689\n",
      "   46.062\n",
      "   54.079\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# leq, lmax, lmin...L5, 10, 50, 90, 95\n",
    "10*log10(mean(yre1))+calr  # leq\n",
    "s = length(yre1);\n",
    "sortdb = flipud(sort(10*log10(yre1)+calr));\n",
    "sortdb([1 end s*[ .05 .1 .5 .9 .95 .01 .001]]) # lmin, lmax, l5, l10, l50, l90, l95 !! L1, l0.01"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ecff5df",
   "metadata": {},
   "source": [
    "### bisecting calibrated stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "971cf868",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "error: 'sar' undefined near line 1, column 1\n",
      "error: 'yre' undefined near line 1, column 1\n",
      "error: 'bisect1' undefined near line 1, column 1\n",
      "ans = 2.5000\n",
      "ans =\n",
      "\n",
      " Columns 1 through 8:\n",
      "\n",
      "   31.801   33.334   31.492   32.630   33.021   31.940   32.027   31.887\n",
      "   72.615   58.146   64.861   60.436   54.350   65.490   59.785   62.330\n",
      "   52.299   48.654   43.819   45.111   42.989   44.179   44.243   42.690\n",
      "   48.711   44.177   41.706   42.648   41.974   41.167   41.580   40.351\n",
      "   39.237   38.797   37.678   38.349   39.223   36.913   36.846   36.544\n",
      "   35.038   35.280   34.148   34.855   35.871   33.839   33.979   33.743\n",
      "   34.231   34.714   33.567   34.257   34.899   33.472   33.496   33.394\n",
      "   59.372   51.987   48.224   53.600   46.394   51.821   50.726   49.301\n",
      "   65.954   57.427   61.722   59.809   51.609   62.576   57.390   60.133\n",
      "   42.722   41.368   40.068   40.841   41.085   39.566   39.432   38.965\n",
      "\n",
      " Columns 9 through 16:\n",
      "\n",
      "   31.220   31.339   31.133   30.872   30.692   30.671   29.806   29.851\n",
      "   55.006   58.269   48.576   54.299   48.747   64.238   46.435   50.450\n",
      "   40.119   39.629   39.342   39.557   39.679   39.504   37.603   36.530\n",
      "   38.997   39.016   38.311   38.589   38.516   38.339   36.684   35.181\n",
      "   35.463   35.440   34.831   34.859   34.564   34.178   33.149   32.016\n",
      "   33.199   33.006   32.549   32.484   32.216   32.132   31.253   30.683\n",
      "   32.787   32.641   32.234   32.065   31.830   31.799   30.862   30.494\n",
      "   43.063   46.014   41.931   41.516   43.250   45.726   40.321   40.118\n",
      "   51.951   54.031   46.086   50.397   46.600   60.218   43.422   47.224\n",
      "   37.957   37.972   37.124   37.509   37.291   36.847   35.393   33.823\n",
      "\n",
      " Columns 17 through 24:\n",
      "\n",
      "   29.942   29.670   29.707   30.889   30.884   32.275   32.124   31.795\n",
      "   47.382   50.856   48.254   51.913   54.488   61.611   56.726   62.609\n",
      "   36.608   38.217   38.898   42.170   42.991   43.532   50.565   54.494\n",
      "   35.273   36.654   37.658   41.346   42.016   42.448   46.813   53.079\n",
      "   31.589   31.917   32.622   35.430   39.418   39.303   40.019   40.100\n",
      "   30.671   30.561   30.705   31.765   33.400   34.773   35.092   34.894\n",
      "   30.509   30.398   30.436   31.555   32.560   34.203   34.240   34.100\n",
      "   41.216   42.646   41.313   45.297   45.442   48.453   54.428   56.490\n",
      "   45.830   48.762   45.113   49.153   52.830   57.516   56.030   60.873\n",
      "   33.617   34.504   35.526   40.127   41.179   41.399   43.124   45.073\n",
      "\n",
      " Column 25:\n",
      "\n",
      "   32.736\n",
      "   64.339\n",
      "   55.546\n",
      "   49.695\n",
      "   39.620\n",
      "   35.792\n",
      "   35.108\n",
      "   56.524\n",
      "   58.988\n",
      "   43.168\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# now that we are calibrated, llet's try the bisected stats...\n",
    "## dater = rand(100000,1);\n",
    "##datert = [1:100000]'; # \"seconds\";\n",
    "## sar = [datert,dater];\n",
    "ssar = sortrows(sar,2);\n",
    "nper = 24 ; # number of splits of the hour\n",
    "bisect1 = reshape(10*log10(yre)+calr,[],nper);\n",
    "sortdb = flipud(sort(bisect1));\n",
    "s=size(sortdb)(1);\n",
    "60/nper # minute periods\n",
    "sortdb([end 1 s*[ .05 .1 .5 .9 .95 .01 .001 0.2]],:) # lmin, lmax, l5, l10, l50, l90, l95 !! L1, l0.01"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9495be35",
   "metadata": {},
   "outputs": [],
   "source": [
    "# try to plot Lp at 1s samplings\n",
    "\n",
    "plot(10*log10(yre/mean(yre)))\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "1ebe5352",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans = 64.3\n"
     ]
    }
   ],
   "source": [
    "\n",
    "format short\n",
    "output_precision(3)\n",
    "sortdb(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "id": "c8cce5b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot dBA relative to Leq\n",
    "plot([1:length(yre)/100]/60,10*log10(yre)(1:100:end)+calr)\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "40be1450",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans = -112.91\n"
     ]
    }
   ],
   "source": [
    "10*log10(mean(yra.^2))-46.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "3f2dbaf9",
   "metadata": {},
   "outputs": [],
   "source": [
    "yret = [1:length(yre)]/2; # \"seconds\";\n",
    "sar = [yret',yre];\n",
    "ssar = sortrows(sar,-2);\n",
    "mylabels=\"\";\n",
    "for i=1:720\n",
    "  tmark = num2str(ssar(i,1));\n",
    "  mylabels = [mylabels tmark \"\\t\" tmark \"\\t\" num2str(i) \"label\" \"\\n\"];\n",
    "endfor\n",
    "\n",
    "filename = \"L10_labels.txt\";\n",
    "fid = fopen (filename, \"w\");\n",
    "fputs (fid, mylabels);\n",
    "fclose (fid);\n",
    "# though this is a bit primitive... need to identify ranges"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "4edcb97e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans =\n",
      "\n",
      "   720.0000     0.1000\n",
      "\n"
     ]
    }
   ],
   "source": [
    "size(yre)/10"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fccc8c62",
   "metadata": {},
   "source": [
    "### multiple audio file stuff"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6f241dce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calr = 112.90\n"
     ]
    }
   ],
   "source": [
    "calr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4ad2d950",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calr = 106.30\n"
     ]
    }
   ],
   "source": [
    "calr = 112.9 # check this"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e54a9542",
   "metadata": {},
   "outputs": [],
   "source": [
    "# all the BandK data\n",
    "pkg load signal\n",
    "tic\n",
    "files = glob('BK/*wav');\n",
    "yret=[];\n",
    "[b,a] = adsgn(48000);\n",
    "for i=1:(numel(files)-1) \n",
    "  [~, name, ext] = fileparts (files{i})\n",
    "  ybk = audioread([\"BK/\" name ext]);\n",
    "  zi = filter_zi(b,a,ybk(1)); # initial states to reducing ringing...haven't looked to see if significant.\n",
    "  yra = filter(b,a,yr,zi);\n",
    "  yret(:,i) = 10*log10(time_weight_exp(yra.^2,1.0,48000));\n",
    "endfor\n",
    "toc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "1a6a2b70",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Elapsed time is 229.465 seconds.\n"
     ]
    }
   ],
   "source": [
    "tic\n",
    "files = glob('Rion/NL*wav');\n",
    "yret=[];\n",
    "[b,a] = adsgn(48000);\n",
    "for i=1:(numel(files)-1) \n",
    "  [~, name, ext] = fileparts (files{i});\n",
    "  yr = audioread([\"Rion/\" name ext]);\n",
    "  zi = filter_zi(b,a,yr(1)); # initial states to reducing ringing...haven't looked to see if significant.\n",
    "  yra = filter(b,a,yr,zi);\n",
    "  yret(:,i) = 10*log10(time_weight_exp(yra.^2,1.0,48000))+calr;\n",
    "endfor\n",
    "toc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c8abbd11",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# so this takes literally a couple of minutes to process 24-hours and outputs Lp in dBA for every 10ms\n",
    "# with every hour in one column. Now we can reshape to our hearts content\n",
    "# first example, take the global stats for all whole hours:\n",
    "sortdb = flipud(sort(reshape(yret,[],1)));\n",
    "s=size(sortdb)(1);\n",
    "sortdb([end 1 s*[ .05 .1 .5 .9 .95 .01 .001 0.2]],:) # lmin, lmax, l5, l10, l50, l90, l95 !! L1, l0.01, L20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "e14bb655",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# or plot Lmax, Lmin, L10 and L90 in 60-minute intervals\n",
    "sortdb = flipud(sort(reshape(yret,[],24)));\n",
    "s=size(sortdb)(1);\n",
    "plot(sortdb([1 end floor(s*[ .1 .9 ])],:)' )\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "431f20f7",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans =\n",
      "\n",
      " Columns 1 through 8:\n",
      "\n",
      "   31.801   33.334   31.492   32.630   33.021   31.940   32.027   31.887\n",
      "   72.615   58.146   64.861   60.436   54.350   65.490   59.785   62.330\n",
      "   52.299   48.654   43.819   45.111   42.989   44.179   44.243   42.690\n",
      "   48.711   44.177   41.706   42.648   41.974   41.167   41.580   40.351\n",
      "   39.237   38.797   37.678   38.349   39.223   36.913   36.846   36.544\n",
      "   35.038   35.280   34.148   34.855   35.871   33.839   33.979   33.743\n",
      "   34.231   34.714   33.567   34.257   34.899   33.472   33.496   33.394\n",
      "   59.372   51.987   48.224   53.600   46.394   51.821   50.726   49.301\n",
      "   65.954   57.427   61.722   59.809   51.609   62.576   57.390   60.133\n",
      "   42.722   41.368   40.068   40.841   41.085   39.566   39.432   38.965\n",
      "\n",
      " Columns 9 through 16:\n",
      "\n",
      "   31.220   31.339   31.133   30.872   30.692   30.671   29.806   29.851\n",
      "   55.006   58.269   48.576   54.299   48.747   64.238   46.435   50.450\n",
      "   40.119   39.629   39.342   39.557   39.679   39.504   37.603   36.530\n",
      "   38.997   39.016   38.311   38.589   38.516   38.339   36.684   35.181\n",
      "   35.463   35.440   34.831   34.859   34.564   34.178   33.149   32.016\n",
      "   33.199   33.006   32.549   32.484   32.216   32.132   31.253   30.683\n",
      "   32.787   32.641   32.234   32.065   31.830   31.799   30.862   30.494\n",
      "   43.063   46.014   41.931   41.516   43.250   45.726   40.321   40.118\n",
      "   51.951   54.031   46.086   50.397   46.600   60.218   43.422   47.224\n",
      "   37.957   37.972   37.124   37.509   37.291   36.847   35.393   33.823\n",
      "\n",
      " Columns 17 through 24:\n",
      "\n",
      "   29.942   29.670   29.707   30.889   30.884   32.275   32.124   31.795\n",
      "   47.382   50.856   48.254   51.913   54.488   61.611   56.726   62.609\n",
      "   36.608   38.217   38.898   42.170   42.991   43.532   50.565   54.494\n",
      "   35.273   36.654   37.658   41.346   42.016   42.448   46.813   53.079\n",
      "   31.589   31.917   32.622   35.430   39.418   39.303   40.019   40.100\n",
      "   30.671   30.561   30.705   31.765   33.400   34.773   35.092   34.894\n",
      "   30.509   30.398   30.436   31.555   32.560   34.203   34.240   34.100\n",
      "   41.216   42.646   41.313   45.297   45.442   48.453   54.428   56.490\n",
      "   45.830   48.762   45.113   49.153   52.830   57.516   56.030   60.873\n",
      "   33.617   34.504   35.526   40.127   41.179   41.399   43.124   45.073\n",
      "\n",
      " Column 25:\n",
      "\n",
      "   32.736\n",
      "   64.339\n",
      "   55.546\n",
      "   49.695\n",
      "   39.620\n",
      "   35.792\n",
      "   35.108\n",
      "   56.524\n",
      "   58.988\n",
      "   43.168\n",
      "\n"
     ]
    }
   ],
   "source": [
    "sortdb = flipud(sort(yret));\n",
    "s=size(sortdb)(1);\n",
    "sortdb([end 1 s*[ .05 .1 .5 .9 .95 .01 .001 0.2]],:) # lmin, lmax, l5, l10, l50, l90, l95 !! L1, l0.01"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e46c64bd",
   "metadata": {},
   "source": [
    "# drilling noise reduction"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "562712e8",
   "metadata": {},
   "source": [
    "## 24"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11818a35",
   "metadata": {},
   "source": [
    "I edited the worst single hour logged by Rion (file 024), manually deleting positively identifiable sustained drilling noise (only)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "950196f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "yr_ed = audioread('Rion/ed001_NL_001_20220111_101437_100dB_0005_0000_ST0024.wav');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "74100797",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans =\n",
      "\n",
      "   32.879   33.815   32.623   31.801\n",
      "   50.758   47.706   57.171   56.941\n",
      "   45.919   42.589   45.862   43.289\n",
      "   43.345   42.182   44.045   42.427\n",
      "   39.658   39.643   39.538   38.570\n",
      "   34.127   35.524   35.474   34.059\n",
      "   33.650   35.071   34.374   33.675\n",
      "   48.049   43.832   52.128   49.566\n",
      "   49.594   46.303   56.585   55.574\n",
      "   41.575   41.265   42.326   41.007\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "  yret_ed=[];\n",
    "[b,a] = adsgn(48000);\n",
    "zi = filter_zi(b,a,yr_ed(1)); # initial states to reducing ringing...haven't looked to see if significant.\n",
    "  yra_ed = filter(b,a,yr_ed,zi);\n",
    "  yret_ed = 10*log10(time_weight_exp(yra_ed.^2,1.0,48000))+calr;\n",
    "\n",
    "  sortdb_ed = flipud(sort(reshape(yret_ed,[],4)));\n",
    "  s=size(sortdb_ed)(1);\n",
    "    sortdb_ed([end 1 floor(s*[ .05 .1 .5 .9 .95 .01 .001 0.2])],:) # lmin, lmax, l5, l10, l50, l90, l95 !! L1, l0.01, L20\n",
    "\n",
    "plot(sortdb_ed([1 end floor(s*[ .1 .9 ])],:)' )\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b05ca953",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans =\n",
      "\n",
      "   1.7280e+08   1.0000e+00\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# a more careful trimming of drilling noise:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "6567945f",
   "metadata": {},
   "outputs": [],
   "source": [
    "yr_ed = audioread('Rion/ed002_NL_001_20220111_101437_100dB_0005_0000_ST0024.wav');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "21c9b09b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans =\n",
      "\n",
      "   31.801\n",
      "   56.934\n",
      "   43.572\n",
      "   42.475\n",
      "   39.264\n",
      "   34.563\n",
      "   33.948\n",
      "   47.375\n",
      "   55.017\n",
      "   41.379\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "  yret_ed=[];\n",
    "[b,a] = adsgn(48000);\n",
    "zi = filter_zi(b,a,yr_ed(1)); # initial states to reducing ringing...haven't looked to see if significant.\n",
    "  yra_ed = filter(b,a,yr_ed,zi);\n",
    "  yret_ed = 10*log10(time_weight_exp(yra_ed.^2,1.0,48000))+calr;\n",
    "\n",
    "  sortdb_ed = flipud(sort(reshape(yret_ed,[],1)));\n",
    "  s=size(sortdb_ed)(1);\n",
    "    sortdb_ed([end 1 floor(s*[ .05 .1 .5 .9 .95 .01 .001 0.2])],:) # lmin, lmax, l5, l10, l50, l90, l95 !! L1, l0.01, L20\n",
    "\n",
    "plot(sortdb_ed([1 end floor(s*[ .1 .9 ])],:)' )\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f57700d",
   "metadata": {},
   "source": [
    "## 23"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "45811eeb",
   "metadata": {},
   "outputs": [],
   "source": [
    "yr_ed = audioread('Rion/ed003_NL_001_20220111_091437_100dB_0005_0000_ST0023.wav');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "757cff0f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans =\n",
      "\n",
      "   32.129\n",
      "   54.469\n",
      "   44.925\n",
      "   43.179\n",
      "   39.473\n",
      "   34.763\n",
      "   34.132\n",
      "   48.856\n",
      "   52.634\n",
      "   41.746\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "yret_ed=[];\n",
    "[b,a] = adsgn(48000);\n",
    "zi = filter_zi(b,a,yr_ed(1)); # initial states to reducing ringing...haven't looked to see if significant.\n",
    "  yra_ed = filter(b,a,yr_ed,zi);\n",
    "  yret_ed = 10*log10(time_weight_exp(yra_ed.^2,1.0,48000))+calr;\n",
    "\n",
    "  sortdb_ed = flipud(sort(reshape(yret_ed,[],1)));\n",
    "  s=size(sortdb_ed)(1);\n",
    "    sortdb_ed([end 1 floor(s*[ .05 .1 .5 .9 .95 .01 .001 0.2])],:) # lmin, lmax, l5, l10, l50, l90, l95 !! L1, l0.01, L20\n",
    "\n",
    "plot(sortdb_ed([1 end floor(s*[ .1 .9 ])],:)' )\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5fa0df82",
   "metadata": {},
   "source": [
    "## 25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "621c5c9c",
   "metadata": {},
   "outputs": [],
   "source": [
    "yr_ed = audioread('Rion/ed_004_NL_001_20220111_111437_100dB_0005_0000_ST0025.wav');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "bb911748",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans =\n",
      "\n",
      "   32.737\n",
      "   64.340\n",
      "   44.179\n",
      "   42.685\n",
      "   39.023\n",
      "   35.589\n",
      "   34.936\n",
      "   48.841\n",
      "   59.090\n",
      "   41.316\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "yret_ed=[];\n",
    "[b,a] = adsgn(48000);\n",
    "zi = filter_zi(b,a,yr_ed(1)); # initial states to reducing ringing...haven't looked to see if significant.\n",
    "  yra_ed = filter(b,a,yr_ed,zi);\n",
    "  yret_ed = 10*log10(time_weight_exp(yra_ed.^2,1.0,48000))+calr;\n",
    "\n",
    "  sortdb_ed = flipud(sort(reshape(yret_ed,[],1)));\n",
    "  s=size(sortdb_ed)(1);\n",
    "    sortdb_ed([end 1 floor(s*[ .05 .1 .5 .9 .95 .01 .001 0.2])],:) # lmin, lmax, l5, l10, l50, l90, l95 !! L1, l0.01, L20\n",
    "\n",
    "plot(sortdb_ed([1 end floor(s*[ .1 .9 ])],:)' )\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02f713f8",
   "metadata": {},
   "source": [
    "## summary"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c65f62b",
   "metadata": {},
   "source": [
    "* The more careful drilling noise reduction trimming only reduced L_10 by 0.3 dB. Keep to the \"course\" and more conservative reduction\n",
    "* From review of calibrated audio recordings, significant construction noise was audible during hours of the day with highest logged hourly noise levels.\n",
    "* We were able to positively identify intermittent sustained drilling activity and removed these intervals, and then recalculated noise statistics. We did not remove numerous impact noises, responsible for peak impulsive events during the period, or any other data not identifiable as drilling.\n",
    "* We only reviewed and corrected data from the three hours between 8 and 11AM Tuesday having the highest uncorrected interior LA10. \n",
    "* The apartment was unfurnished, and highly revereberant. Reverberation time in the bedroom was over 1s from xx to xxHz. The interior noise would be less for a normally furnished apartment (condition assumed in EIS calculations and design predictions). To account for this, we subtract 3dBA from sound levels measured in the empty bedroom.\n",
    "* The resulting corrected levels L10A,1Hr are significantly below 45dBA during all hour periods.\n",
    "* Fair weather, though there were wind gusts during some measurement periods (evidenced by audible wind turbulence in exterior microphone recordings).\n",
    "* Corrected LA10 summary (not including periods of sustained drilling, no correction for revereberation):\n",
    "| hour beginning | uncorrected L10A | corrected L10A |\n",
    "|----|----|----|\n",
    "|08:14 | 46.9   | 43.2|\n",
    "|09:14 | 53.1 | 42.8 |\n",
    "|10:14 | 47.2 | 42.7 |\n"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "6e8e49c1",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c214c7cf",
   "metadata": {},
   "source": [
    "Caption: LA10,1hr from interior noise measured in apartment 8xx, from Monday January 10 to Tuesday January 11. Noise levels were below 45dBA L10 for all hours, not counting intervals where construction drilling dominated the interior noise. No correction for empty reverberant condition of apartment (typical furnishings would result in lower interior levels)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "960d98ab",
   "metadata": {},
   "source": [
    "# TL attempt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "1dca7e42",
   "metadata": {},
   "outputs": [],
   "source": [
    "# y is raw B&K data for hour containing the \"honk\"\n",
    "# filter and weight\n",
    "clear y\n",
    "clear ya\n",
    "clear yat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "4df4072a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans =\n",
      "\n",
      "   2.8800e+07   4.8000e+02\n",
      "\n"
     ]
    }
   ],
   "source": [
    "size(yat)*480"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "0704d14b",
   "metadata": {},
   "outputs": [],
   "source": [
    "[y,fs] = audioread('BK/Soundrec 148.wav');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "d945c003",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans = -0.021902\n"
     ]
    }
   ],
   "source": [
    "min(y)\n",
    "\n",
    " % just read one 10minute file\n",
    "[y,fs] = audioread('BK/Soundrec 152.wav');\n",
    " [b,a] = adsgn(48000);\n",
    "  calbk = 1.9679e+07 ;\n",
    "  zi = filter_zi(b,a,calbk*y(1)); # initial states to reducing ringing...haven't looked to see if significant.calbk = -20*log10(2e-5)\n",
    "  ya = filter(b,a,calbk*y,zi);\n",
    "  yat = 10*log10(time_weight_exp(ya.^2,1.0,48000));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "64c7cf43",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot(yat(1:100:end))\n",
    "set(gcf,'Visible','on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "c57dface",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans = 90.445\n"
     ]
    }
   ],
   "source": [
    "max(yat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "06b02031",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [],
   "source": [
    "# calibration thing\n",
    "% just read one 10minute file\n",
    "[~,~,~,bkdk,~] = BKwavread('BK/Soundrec 47.wav','size');\n",
    "%[~,~,~,bkdk,~] = BKwavread('AAcNY3_001_1.wav','size');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "3d7d3794",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans =\n",
      "\n",
      "    1   96\n",
      "\n"
     ]
    }
   ],
   "source": [
    "size(bkdk)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "f286494e",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bkdk = 02.10\u0000220111 10:10:26\u00004189\u00000.04661171 V/Pa\u0000 \u00001.0\u0000 \u00001.0\u0000 \u0000393.5775\u00000.0\u0000145.88\u0000SQ0\u00002250-2626254\u0000 \u0000\n"
     ]
    }
   ],
   "source": [
    "bkdk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "6e72326f",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans =\n",
      "{\n",
      "  [1,1] = 13.53724\u00000.0\u0000116.61\n",
      "}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "regexp(bkdk,'1\\.0...1\\.0...(.*?).SQ0','tokens'){1}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "dbf58672",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "error: strsplit: S and DEL must be string values\n",
      "error: called from\n",
      "    strsplit at line 188 column 5\n"
     ]
    }
   ],
   "source": [
    "strsplit(regexprep(regexp(bkdk,'1\\.0...1\\.0...(.*?).SQ0','tokens'){1},'\\x{00}','x'),'x')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "e3dd80d1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "num = 393.5775\n"
     ]
    }
   ],
   "source": [
    "num = strsplit(regexprep(regexp(bkdk,'1\\.0...1\\.0...(.*?).SQ0','tokens'){1},'\\x{00}','x'){1},'x'){1}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "58d46c10",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "num =\n",
      "{\n",
      "  [1,1] = 393.5775\n",
      "  [1,2] = 0.0\n",
      "  [1,3] = 145.88\n",
      "}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "num = strsplit(regexprep(regexp(bkdk,'1\\.0...1\\.0...(.*?).SQ0','tokens'){1},'\\x{00}','x'){1},'x')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "e3c59962",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans = 1.9679e+07\n"
     ]
    }
   ],
   "source": [
    "10^(145.88/20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "e4dcd598",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans = 103.80\n"
     ]
    }
   ],
   "source": [
    "20*log10(393.58^2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "3fd09ad2",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calr = 112.90\n"
     ]
    }
   ],
   "source": [
    "calr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "036cab53",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Available line magics:\n",
      "%activity  %cd  %connect_info  %conversation  %dot  %download  %edit  %get  %help  %html  %include  %install  %install_magic  %javascript  %jigsaw  %kernel  %kx  %latex  %load  %ls  %lsmagic  %macro  %magic  %matplotlib  %parallel  %plot  %pmap  %px  %python  %reload_magics  %restart  %run  %scheme  %set  %shell\n",
      "\n",
      "Available cell magics:\n",
      "%%activity  %%brain  %%conversation  %%debug  %%dot  %%file  %%help  %%html  %%javascript  %%kx  %%latex  %%macro  %%pipe  %%processing  %%px  %%python  %%scheme  %%shell  %%show  %%time  %%tutor\n"
     ]
    }
   ],
   "source": [
    "%lsmagic"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44e3c41a",
   "metadata": {
    "variables": {
     "calr": "calr = 112.95"
    }
   },
   "source": [
    "Answer is {{calr}}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "32b5de32",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prettythis =\n",
      "\n",
      "   1.0000   2.0000   3.0000   4.0000   7.7815\n",
      "\n"
     ]
    }
   ],
   "source": [
    "prettythis = [1 2 3 4 10*log10(6)]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67f3260f",
   "metadata": {
    "variables": {
     "disp(prettythis)": "   1.0000   2.0000   3.0000   4.0000   7.7815"
    }
   },
   "source": [
    "The array is {{disp(prettythis)}}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "977751a0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "atbl = |my|name|\n",
      "|----|----|\n",
      "|is|Todd|\n"
     ]
    }
   ],
   "source": [
    "atbl = \"|my|name|\\n|----|----|\\n|is|Todd|\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb5326a7",
   "metadata": {
    "variables": {
     "disp(atbl)": "<table>\n<thead>\n<tr>\n<th>my</th>\n<th>name</th>\n</tr>\n</thead>\n<tbody><tr>\n<td>is</td>\n<td>Todd</td>\n</tr>\n</tbody></table>\n"
    }
   },
   "source": [
    "Can I {{disp(atbl)}}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61be979a",
   "metadata": {},
   "source": [
    "|my|name|\n",
    "|----|----|\n",
    "|is|Todd|"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "d956a5a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "function str=mat2md(m)\n",
    "str = \"| |\";\n",
    "for i=1:size(m)(2)\n",
    "str = [str num2str(i) \"|\" ];\n",
    "endfor\n",
    "str = [str \"\\n|----| \"];\n",
    "for i=1:size(m)(2)\n",
    "str = [str \"----\" \"|\" ];\n",
    "endfor\n",
    "str = [str \"\\n\"];\n",
    "for i=1:size(m)(1)\n",
    "  str = [str \"|\" num2str(i) \"|\"];\n",
    "  for j=1:size(m)(2)\n",
    "  str = [str num2str(m(i,j)) \"|\"];\n",
    "  endfor\n",
    "  str = [str \"\\n\"];\n",
    "endfor\n",
    "endfunction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "1b376298",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gum =\n",
      "\n",
      " Columns 1 through 6:\n",
      "\n",
      "   4.9995e-01   4.7746e-01   8.7084e-01   9.6648e-01   5.6792e-01   4.7351e-01\n",
      "   2.9630e-01   2.8955e-02   9.3897e-03   8.2399e-01   2.7431e-01   6.7959e-01\n",
      "   3.0804e-01   4.6350e-01   4.6552e-01   2.1629e-01   7.4434e-01   1.5216e-01\n",
      "   1.7056e-01   2.3579e-01   1.1249e-01   2.5711e-01   5.3575e-01   6.7688e-02\n",
      "   2.9839e-01   7.5195e-02   5.8059e-01   9.5924e-01   1.0867e-01   7.7425e-01\n",
      "   4.1702e-01   8.0383e-01   5.1086e-01   8.9426e-01   5.1394e-01   8.9856e-01\n",
      "   8.0896e-02   9.5134e-01   2.1440e-01   8.6781e-01   3.2984e-01   7.4128e-01\n",
      "   7.9653e-02   5.8792e-01   5.6646e-01   9.6484e-01   9.6951e-01   6.4159e-01\n",
      "   7.4314e-01   5.9434e-01   6.7391e-01   6.6382e-01   1.7265e-01   2.7755e-01\n",
      "   6.9984e-02   4.9687e-01   7.4851e-01   4.0397e-01   2.9195e-01   9.7277e-01\n",
      "\n",
      " Columns 7 through 12:\n",
      "\n",
      "   4.2760e-01   5.8906e-01   7.1603e-01   5.4169e-01   9.4791e-01   4.5358e-01\n",
      "   4.2107e-01   8.7872e-01   9.6206e-01   5.9210e-01   8.2179e-01   6.9968e-01\n",
      "   2.8902e-01   5.7966e-01   6.4322e-02   1.2733e-01   6.8917e-02   9.2161e-01\n",
      "   7.6365e-01   3.7867e-01   4.3639e-01   7.5098e-01   8.8428e-01   4.3145e-01\n",
      "   6.1127e-01   5.1155e-01   6.2722e-01   5.1173e-01   6.4171e-01   4.3616e-02\n",
      "   8.2594e-01   8.6600e-01   7.4474e-01   1.5961e-01   6.7385e-01   4.2336e-01\n",
      "   6.3944e-01   5.0044e-01   2.1738e-01   8.2166e-01   3.8007e-01   3.8162e-01\n",
      "   4.2729e-01   6.6421e-01   1.3955e-01   2.2975e-01   2.9031e-01   9.6267e-02\n",
      "   8.2039e-01   5.8792e-01   1.6017e-01   4.1005e-01   6.4067e-01   4.3696e-02\n",
      "   8.6084e-01   6.7566e-01   4.7836e-01   6.4453e-01   6.8632e-01   1.7933e-01\n",
      "\n",
      " Columns 13 through 15:\n",
      "\n",
      "   7.0769e-01   1.7140e-01   8.9311e-01\n",
      "   1.6200e-01   2.5800e-01   4.6259e-01\n",
      "   3.6040e-01   1.0772e-01   3.9108e-01\n",
      "   5.5067e-01   1.3431e-01   6.2200e-01\n",
      "   2.2001e-01   5.1617e-01   6.9051e-01\n",
      "   4.6593e-01   3.5828e-02   5.7101e-01\n",
      "   6.7033e-01   9.3247e-01   6.4314e-01\n",
      "   5.2080e-01   6.9486e-01   3.9182e-01\n",
      "   4.4181e-01   4.5184e-01   4.6541e-01\n",
      "   3.9130e-01   6.1763e-01   4.9756e-02\n",
      "\n"
     ]
    }
   ],
   "source": [
    "gum =rand(10,15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "375c0d05",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans = | |1|2|3|4|5|6|7|8|9|10|11|12|13|14|15|\n",
      "|----| ----|----|----|----|----|----|----|----|----|----|----|----|----|----|----|\n",
      "|1|0.49995|0.47746|0.87084|0.96648|0.56792|0.47351|0.4276|0.58906|0.71603|0.54169|0.94791|0.45358|0.70769|0.1714|0.89311|\n",
      "|2|0.2963|0.028955|0.0093897|0.82399|0.27431|0.67959|0.42107|0.87872|0.96206|0.5921|0.82179|0.69968|0.162|0.258|0.46259|\n",
      "|3|0.30804|0.4635|0.46552|0.21629|0.74434|0.15216|0.28902|0.57966|0.064322|0.12733|0.068917|0.92161|0.3604|0.10772|0.39108|\n",
      "|4|0.17056|0.23579|0.11249|0.25711|0.53575|0.067688|0.76365|0.37867|0.43639|0.75098|0.88428|0.43145|0.55067|0.13431|0.622|\n",
      "|5|0.29839|0.075195|0.58059|0.95924|0.10867|0.77425|0.61127|0.51155|0.62722|0.51173|0.64171|0.043616|0.22001|0.51617|0.69051|\n",
      "|6|0.41702|0.80383|0.51086|0.89426|0.51394|0.89856|0.82594|0.866|0.74474|0.15961|0.67385|0.42336|0.46593|0.035828|0.57101|\n",
      "|7|0.080896|0.95134|0.2144|0.86781|0.32984|0.74128|0.63944|0.50044|0.21738|0.82166|0.38007|0.38162|0.67033|0.93247|0.64314|\n",
      "|8|0.079653|0.58792|0.56646|0.96484|0.96951|0.64159|0.42729|0.66421|0.13955|0.22975|0.29031|0.096267|0.5208|0.69486|0.39182|\n",
      "|9|0.74314|0.59434|0.67391|0.66382|0.17265|0.27755|0.82039|0.58792|0.16017|0.41005|0.64067|0.043696|0.44181|0.45184|0.46541|\n",
      "|10|0.069984|0.49687|0.74851|0.40397|0.29195|0.97277|0.86084|0.67566|0.47836|0.64453|0.68632|0.17933|0.3913|0.61763|0.049756|\n",
      "\n"
     ]
    }
   ],
   "source": [
    "mat2md(gum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "aecc028f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ans = Todf\n"
     ]
    }
   ],
   "source": [
    "[my \"df\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d15deb84",
   "metadata": {
    "variables": {
     "disp(mat2md(gum))": "<table>\n<thead>\n<tr>\n<th></th>\n<th>1</th>\n<th>2</th>\n<th>3</th>\n<th>4</th>\n<th>5</th>\n<th>6</th>\n<th>7</th>\n<th>8</th>\n<th>9</th>\n<th>10</th>\n<th>11</th>\n<th>12</th>\n<th>13</th>\n<th>14</th>\n<th>15</th>\n</tr>\n</thead>\n<tbody><tr>\n<td>1</td>\n<td>0.49995</td>\n<td>0.47746</td>\n<td>0.87084</td>\n<td>0.96648</td>\n<td>0.56792</td>\n<td>0.47351</td>\n<td>0.4276</td>\n<td>0.58906</td>\n<td>0.71603</td>\n<td>0.54169</td>\n<td>0.94791</td>\n<td>0.45358</td>\n<td>0.70769</td>\n<td>0.1714</td>\n<td>0.89311</td>\n</tr>\n<tr>\n<td>2</td>\n<td>0.2963</td>\n<td>0.028955</td>\n<td>0.0093897</td>\n<td>0.82399</td>\n<td>0.27431</td>\n<td>0.67959</td>\n<td>0.42107</td>\n<td>0.87872</td>\n<td>0.96206</td>\n<td>0.5921</td>\n<td>0.82179</td>\n<td>0.69968</td>\n<td>0.162</td>\n<td>0.258</td>\n<td>0.46259</td>\n</tr>\n<tr>\n<td>3</td>\n<td>0.30804</td>\n<td>0.4635</td>\n<td>0.46552</td>\n<td>0.21629</td>\n<td>0.74434</td>\n<td>0.15216</td>\n<td>0.28902</td>\n<td>0.57966</td>\n<td>0.064322</td>\n<td>0.12733</td>\n<td>0.068917</td>\n<td>0.92161</td>\n<td>0.3604</td>\n<td>0.10772</td>\n<td>0.39108</td>\n</tr>\n<tr>\n<td>4</td>\n<td>0.17056</td>\n<td>0.23579</td>\n<td>0.11249</td>\n<td>0.25711</td>\n<td>0.53575</td>\n<td>0.067688</td>\n<td>0.76365</td>\n<td>0.37867</td>\n<td>0.43639</td>\n<td>0.75098</td>\n<td>0.88428</td>\n<td>0.43145</td>\n<td>0.55067</td>\n<td>0.13431</td>\n<td>0.622</td>\n</tr>\n<tr>\n<td>5</td>\n<td>0.29839</td>\n<td>0.075195</td>\n<td>0.58059</td>\n<td>0.95924</td>\n<td>0.10867</td>\n<td>0.77425</td>\n<td>0.61127</td>\n<td>0.51155</td>\n<td>0.62722</td>\n<td>0.51173</td>\n<td>0.64171</td>\n<td>0.043616</td>\n<td>0.22001</td>\n<td>0.51617</td>\n<td>0.69051</td>\n</tr>\n<tr>\n<td>6</td>\n<td>0.41702</td>\n<td>0.80383</td>\n<td>0.51086</td>\n<td>0.89426</td>\n<td>0.51394</td>\n<td>0.89856</td>\n<td>0.82594</td>\n<td>0.866</td>\n<td>0.74474</td>\n<td>0.15961</td>\n<td>0.67385</td>\n<td>0.42336</td>\n<td>0.46593</td>\n<td>0.035828</td>\n<td>0.57101</td>\n</tr>\n<tr>\n<td>7</td>\n<td>0.080896</td>\n<td>0.95134</td>\n<td>0.2144</td>\n<td>0.86781</td>\n<td>0.32984</td>\n<td>0.74128</td>\n<td>0.63944</td>\n<td>0.50044</td>\n<td>0.21738</td>\n<td>0.82166</td>\n<td>0.38007</td>\n<td>0.38162</td>\n<td>0.67033</td>\n<td>0.93247</td>\n<td>0.64314</td>\n</tr>\n<tr>\n<td>8</td>\n<td>0.079653</td>\n<td>0.58792</td>\n<td>0.56646</td>\n<td>0.96484</td>\n<td>0.96951</td>\n<td>0.64159</td>\n<td>0.42729</td>\n<td>0.66421</td>\n<td>0.13955</td>\n<td>0.22975</td>\n<td>0.29031</td>\n<td>0.096267</td>\n<td>0.5208</td>\n<td>0.69486</td>\n<td>0.39182</td>\n</tr>\n<tr>\n<td>9</td>\n<td>0.74314</td>\n<td>0.59434</td>\n<td>0.67391</td>\n<td>0.66382</td>\n<td>0.17265</td>\n<td>0.27755</td>\n<td>0.82039</td>\n<td>0.58792</td>\n<td>0.16017</td>\n<td>0.41005</td>\n<td>0.64067</td>\n<td>0.043696</td>\n<td>0.44181</td>\n<td>0.45184</td>\n<td>0.46541</td>\n</tr>\n<tr>\n<td>10</td>\n<td>0.069984</td>\n<td>0.49687</td>\n<td>0.74851</td>\n<td>0.40397</td>\n<td>0.29195</td>\n<td>0.97277</td>\n<td>0.86084</td>\n<td>0.67566</td>\n<td>0.47836</td>\n<td>0.64453</td>\n<td>0.68632</td>\n<td>0.17933</td>\n<td>0.3913</td>\n<td>0.61763</td>\n<td>0.049756</td>\n</tr>\n</tbody></table>\n"
    }
   },
   "source": [
    "{{disp(mat2md(gum))}}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a76c4037",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
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   "help_links": [
    {
     "text": "GNU Octave",
     "url": "https://www.gnu.org/software/octave/support.html"
    },
    {
     "text": "Octave Kernel",
     "url": "https://github.com/Calysto/octave_kernel"
    },
    {
     "text": "MetaKernel Magics",
     "url": "https://metakernel.readthedocs.io/en/latest/source/README.html"
    }
   ],
   "mimetype": "text/x-octave",
   "name": "octave",
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