video_transcription_demo_github.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "bc78becf-5946-405a-9a15-3946650eb024",
   "metadata": {},
   "source": [
    "# Video Transcription "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f996efa9-1e23-48bd-b991-85d7e78fe62a",
   "metadata": {},
   "source": [
    "Une démo sur l'utilisation de plusieurs API de Google pour la génération automatique d'un transcript timé d'une vidéo.\n",
    " Le résultat est visible ici : https://storage.googleapis.com/jr-non-uniform/Conseil%20municipal%20du%20mardi%207%20novembre%202023.html \n",
    "\n",
    "\n",
    "Cette démo utilise trois API : \n",
    "### 1) Google Cloud Storage \n",
    "https://cloud.google.com/storage/docs/introduction \n",
    "### 2) Cloud Video Intelligence \n",
    "https://cloud.google.com/video-intelligence/docs/features \n",
    "### 3) Vertex AI PALM \n",
    "Gen Ai - modèle Bison002 - https://cloud.google.com/vertex-ai/docs/generative-ai/learn/models "
   ]
  },
  {
   "attachments": {
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AgAABAgQIECBAgAABAgQIECBAgAABAgQIEBC2eg8QIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh0QkDY2oljsAgCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAFhq/cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAJwSErZ04BosgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQtnoPECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIdEJA2NqJY7AIAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABYav3AAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCcEhK2dOAaLIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQELZ6DxAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECHRCQNjaiWOwCAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAWGr9wABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAnBIStnTgGiyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBC2eg8QIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh0QkDY2oljsAgCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAFhq/cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAJwSErZ04BosgQIAAga0SWFtrmqXV9ebKzfXmwvW15trienNzaX2rluO+BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgMwIPzM80B3fPNgd2zzQHds02MzOdWZqFECCwjQWErdv4cG2NAAECBL5dYHm1aa7eWms+ObfavHlqpTl5ca05d7VqVw8CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBzgUStLx0fNM8fm2ueOzpo5mZ7DmL7BAhMRUDYOhVmNyFAgACBrgosrwzD1g/Prja/+2yl+ezCavPFFWFrV8/LuggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgOgKzNZ318IOzzauPDJoXK2594ZiwdTry7kKAgLDVe4AAAQIEei2wtBG2vv/FavP6ieXm0/OrzenLwtZevylsngABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgSauZmZ5sje2ebHjw2alxO3Pixs9bYgQGA6AsLW6Ti7CwECBAh0VGA8bP3NpxW21sTW05eErR09LssiQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgWkI1LTWUdj6mrB1GuLuQYDAmICwdQzDpwQIECDQP4Gvha01sfWUia39eyPYMQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh8KVBdazM7O9McrYmtwtYvWXxCgMCUBIStU4J2GwIECBDopoCwtZvnYlUECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgsHUCwtats3dnAgSaRtjqXUCAAAECvRYQtvb6+G2eAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBCYICFsnoHiKAIGpCQhbp0btRgQIECDQRQFhaxdPxZoIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYCsFhK1bqe/eBAgIW70HCBAgQKDXAsLWXh+/zRMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDABAFh6wQUTxEgMDUBYevUqN2IAAECBLooIGzt4qlYEwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhspYCwdSv13ZsAAWGr9wABAgQI9FpA2Nrr47d5AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEJggIGydgOIpAgSmJiBsnRq1GxEgQIBAFwWErV08FWsiQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAga0UELZupb57EyAgbPUeIECAAIFeCwhbe338Nk+AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECEwSErRNQPEWAwNQEhK1To3YjAgQIEOiigLC1i6diTQQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECCwlQLC1q3Ud28CBISt3gMECBAg0GsBYWuvj9/mCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGCCgLB1AoqnCBCYmoCwdWrUbkSAAAECXRQQtnbxVKyJAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBLZSQNi6lfruTYCAsNV7gAABAgR6LSBs7fXx2zwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQITBAQtk5A8RQBAlMTELZOjdqNCBAgQKCLAsLWLp6KNREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAVgoIW7dS370JEBC2eg8QIECAQK8FhK29Pn6bJ0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEJAsLWCSieIkBgagLC1qlRuxEBAgQIdFFA2NrFU7EmAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIENhKAWHrVuq7NwECwlbvAQIECBDotYCwtdfHb/MECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMEFA2DoBxVMECExNQNg6NWo3IkCAAIEuCghbu3gq1kSAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECWykgbN1KffcmQEDY6j1AgAABAr0WELb2+vhtngABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQmCAhbJ6B4igCBqQkIW6dG7UYECBAg0EUBYWsXT8WaCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGArBYStW6nv3gQICFu9BwgQIECg1wLC1l4fv80TIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwAQBYesEFE8RIDA1AWHr1KjdiAABAgS6KCBs7eKpWBMBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIbKWAsHUr9d2bAAFhq/cAAQIECPRaQNja6+O3eQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCYICBsnYDiKQIEpiYgbJ0atRsRIECAQBcFhK1dPBVrIkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGtFBC2bqW+exMgIGz1HiBAgACBXgsIW3t9/DZPgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAhMEhK0TUDxFgMDUBIStU6N2IwIECBDoooCwtYunYk0ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgsJUCwtat1HdvAgSErd4DBAgQINBrAWFrr4/f5gkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBggoCwdQKKpwgQmJqAsHVq1G5EgAABAl0UELZ28VSsiQABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgS2UkDYupX67k2AgLDVe4AAAQIEei0gbO318ds8AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECEwQELZOQPEUAQJTExC2To3ajQgQIECgiwLC1i6eijURIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwFYKCFu3Ut+9CRAQtnoPECBAgECvBYStvT5+myfwjQIz+df6hMf6+oQnPfWDBVru+iW/f0lcn3z5+Q++gwsQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh8V4F8z2Z2dqY5une2ee2xQfPyI4PmxYcHzdzsd72CryNAgMCdCwhb79zOKwkQIEBgGwgIW7fBIdoCgXskMFv/KK9/q1doOdPGlev1a6LW0cc9um3vLpv/UiSP2SqJExOPguI4r9Uva8rWIZBfCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJTFBC2ThHbrQgQ+JqAsPVrJJ4gQIAAgT4JCFv7dNr92usoDhxFg+0YzEkEG9Fg+1v9oiEcIuV/abp352yze8dM88B806yuNc2t5fXmxtJ6c7M+VlYTXU4C9dz3FYj1wtxMs6usdy7Ee6a815v85/PlG2vN9cUkxR4ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLTFBC2TlPbvQgQ2CwgbN0s4s8ECBAg0CsBYWuvjrs3mx1NvcxPAZnZKFxHoetmhEzFzGN9YzJm/iwibJodg5nmiYfmmof3zTb7d800i8tNc/H6WnPm6lpztj4WK3JdrrjV44cJ5L8QWSjrPQ/Uj7Ep68N7ZpuDu8u7otart9abD8+sNKcvrw2n5P6wW3k1AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDA9xAQtn4PLF9KgMBdFxC23nVSFyRAgACB+0lA2Ho/nZa1fleBNhSs6ZeZgLmrJmAOqnCdTeU66ZGQtT4yfTQfmZSZ6aQr9flSxZu3KjDMpNKlemIUwU66zHZ7LnavPTbfPHt0rjm2d7ad1Hry0lrz8bnV5tPzq821miKauNXjhwkkuN5ZE1oPVtD6dIXEjx+qmHj/bDsV98K1teZXHy8373+xKmz9YcxeTYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBD43gLC1u9N5gUECNxFAWHrXcR0KQIECBC4/wSErfffmVnxtwvsrijz2L655qEHZ5tDe2ba6aOJW8cf40nmeNi6vJpJpBVtbkzMvHJjvblYPw7+2q21ZqWC10SvfXg8WBNE/+L5hebHjw2axw/ONVdqeuhHFbW+fXKlebdCy8tlcnNpXLEPKnd/jwlb99T7NdNaX3lk0Dx3dNA8eXiuuV7h8Bc1qfWXby82r59YGYatuO/+AbgiAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQOA2AsLW28B4mgCBqQgIW6fC7CYECBAg0FUBYWtXT8a6fojAgd2zzbNH5tpAMBMwMxFzYTCcyNq2gfXLeCOYf5TmzwlcV+uX5UxprQmtlxK11tTMM1fXmrP1cf7aegWHa81axa3jr/8ha+3qa4Wt0zkZYet0nN2FAAECBAgQIECAAAECBAgQIECAAAECBAgQIPB9BYSt31fM1xMgcDcFhK13U9O1CBAgQOC+ExC23ndHZsHfQSCTWjP98oVjc82zNQFz50KFrXMzzVI7jTVTV9fbiHV0qcSFM/l/+ddpJav11zW1tWlu1NTMqzWpNFHrqZqe+eHZleZcfX6rJpVmcut2jluFraN3x739Xdh6b31dnQABAgQIECBAgAABAgQIECBAgAABAgQIECBwpwLC1juV8zoCBO6GgLD1bii6BgECBAjctwLC1vv26Cz8GwQ2h607BsNo9crNhKprzY2NMDWXGEatTTM3O1MfTTM/19R010x4TQxbn1cQe72+/syVtebXny63cev5ilsXa6prAtjt+hC2Tudkha3TcXYXAgQIECBAgAABAgQIECBAgAABAgQIECBAgMD3FRC2fl8xX0+AwN0UELbeTU3XIkCAAIH7TkDYet8dmQV/B4HNYWuC1ZWasPrZhdXmi5q8ev76MEzNpfIP0uE/Sitqrbh1x3zT7Hlgttm3c6Y5sne2OVofeWRy6xufrzRvn1pp3j+z0lyrP2eq63Z9CFunc7LC1uk4uwsBAgQIECBAgAABAgQIECBAgAABAgQIECBA4PsKCFu/r5ivJ0DgbgoIW++mpmsRIECAwH0nIGy9747Mgr+DwOawNZNVM3U1Yep7p1eaExeGU1tHlxrFrYOa0PrA/ExzYHcFrftmm+ePDpoXH55rdu2oia/1xacurTVvnlxp/vmDpeb8tfXm1vL2HdkqbB29O+7t78LWe+vr6gQIECBAgAABAgQIECBAgAABAgQIECBAgACBOxUQtt6pnNcRIHA3BIStd0PRNQgQIEDgvhUQtt63R2fh3yAwKWy9trje/O6zleadmrj66fnV5nr9efwx/Idp0wxqauvuCln37Zppnquw9aXjg+bRAzXBdddsc/XmWvNWha1/99ZSc7omv96sWParVxm/Yk2CrYvmuvm9Ltt+zNQf8tzodYlu19brOu3v9fzoL756qW/9U3uv3OPL+9V9cqONR+6Re7X3qem133abOw1b23XUPUf7bTdbf859Vzfue7s9jtY7em1+j9fosb6xh9E+cp1v20eukYm97VXql6H3cD25bp5v71e/5PPR7XLdXH+tXvDl/eq57/Nor5171yftPUYXr4sMr5m7zDQ7F5p2OvArjwza99yTh+fa92emC//y7cXm9RMr7Vpu5/Z91uRrCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEvpvA8Hs9M+1PeHztsUHzcn0v58WHB+33nr7bFXwVAQIE7lxA2Hrndl5JgAABAttAQNi6DQ7RFr4mcCdh6/hFBhUjLgxmmqcemmv/cfpq/SP18UNzzUrViG+fWm3+5reLzecXV5trt745bJ2t68zVv3gTy2YabD7mKm7M8ykyq/NsVlbro667slof9UQbf6Z3/B6P9JK5z1zdJxHn6F6z9Rf5B3eCyOE9mmZ5436jWPN2t7mTsDXryEf2O7+xjvw5j+xzqfaY/a1tBK7Dv/nDr3FJANq+fsxrpp7PHlZbp+wl1xteK89/E9dCweyYH143GO3+ay25VtbWnk/9Mp+zqZvn/nm+Lt+s1i/5+qWVjXV/043+sI32s1zjK3sZDPeV59dzzrXwmMRjR00JPrxnpknY+mzF1MLWTZj+SIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDYAoH6tk59X0/YugX0bkmAQAkIW70NCBAgQKDXAsLWXh//tt38Dw1bE4fOV+z46MHZ5umKW//oyfk2OEyQ+O7pleZvf7fYnLi41ly5sdbGqYkrxx8JGhOVPlBB5QMLM00i0T07ZutjGFkmtkxYmtj0ek19zfTYRLLXFtfq88SXNSW07vVdHsOQNfeqSbN1r0ybHX5UnFv3SSyaODPTZTO19urGfRaX1yvYHE0O/fqdvm/YmmAza8k99+7Mx2ytYxiLZurp5Zvrzflra82t5WEoOh6kjrwSoMbswQfKqsyyhh0VGCfUbQPTWnP20O6jrpc9LSY6LcvNZzDa0cHds82xfbNt3Jo1XrpRry+Dm3WtBMw7yy1rzb1iuFABatazVGY36vqX64zzmpxR1j6arju6/ubfc498xGG0l/b8yyT3yj0T5i5t7CXXzfofrHN7vv4Xvs/U++3J+sgaTWzdrOvPBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHpCdS3fISt0+N2JwIENgkIWzeB+CMBAgQI9EtA2Nqv8+7Lbu9G2DqoMPH4/tl2eubPn55vXjg2aGPTd79Yaf7b75eaExdW2+gxgep4VDmKGndWZLp/10xzYNdsc3DPbLOvPt9bwWZ+7PwwbB1OAx3FpgkoE36eubrWxqeJNjOKtP7vto8EmAlnE8zmPgcq4jywexTSJqIdTiBNKJtg9krFkrnP5Ztrzbm6T4LNNgytiHPzfb5P2Jo9Zy3Zc9byyIG59key7KmYM//gz14+rxD4k3OrbSx6q6LOUdiav5+vePWB+mi9av3xyj7ildh0vmLT5Ypw87rRHi6U1YXr6/WRWHZoOQkq009fOj5o15Xw9uSl1XJeb27Ua4b3HN4rfrtq/aPprvnPxpzNubrP2SvDc7lY97u1tNaGqZPulefauLf2krg3Ue2h2kt7/vXn3XX2mUabsDVrTux7pT5u1DXzfnvswGzzWE0GznRgYevthD1PgAABAgQIECBAgAABAgQIECBAgAABAgQIEJiOQL6PZWLrdKzdhQCBrwsIW79u4hkCBAgQ6JGAsLVHh92jrd6NsHWh4sQnKjB87uhc89rj881TFUguVSD6zqnV5m9/v1ih5mobH26OWueq8jxYP1b+2L65ev1sGynuSzRZwWddsg1AE4EmJM1HfhR9fiR9AtNTFV2+c3q1OXF+tQLMtfq7mty6uTjdOMdcI8Hnkb1zbYD71OFBc7QmkyamnK8Jp9VJNjMVcuaRNWYC7CiovF6TYX//+Urz3herTQLRTCbN34/f6vuErYk5M+E27g9XDPzKI4PWLpNWE2ieurzWvH1ytXnjs+Vmsfa6Uo65Vy2x9YjP4QpAn6pJpYk6s4fcP6/PxNnsNQ75yGsTyl6soPWT83XdUyttfJpAdPwssu88XntsvvnLF+bb6DcuH55Zbb8+X5vY+MiDc+102ESt2Uc+sq78fR1Ju/5LFQPn3D88u9qcvlxxbgWv9VdfeyTwzVTW/bX+nP0zRwd1/WFwPL9x7bwo165tNJmamymwV2+ttRNid9R5Jk5+uN47ec7E1q8Re4IAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMDWB9ntZ9Y2qo3tn63tOg+bl+h7Yi/UT+PL9JA8CBAjcawFh670Wdn0CBAgQ6LSAsLXTx2NxdyjwQ8LW/AM1UWumj75wbK559dH55ukjc220eaUmnb5VIeXfvbXURocJHMcfed2+msyZiaVPb0SamfqaQDMhY37s/FKFjCtVaCY8zZTO3Ccx5EJFjZng+VFNNX339Eobgl6rADURZ0LIr96paWPMTDV94tCgnSqbCDeh5o5aQ6aB5nXLdZ/EoJkSmucTbw7yD+2Z9bpH7lOx5pmVdkps4tZEtrlXHt8lbL1Vr2ljzrru3gpRn6w9P3Nk0Dy74ZV1JNB9u6LQD2rS7QcVho7HuvHKhNfEsFl/pqvGLhZ5ZE2JfldrUQln8/UP1N8lds1/diUEfrfi3A8qVv243BK9Zg/jjz+pabt/9eqOdnLqzvmm+bzWkwg2j0xn3V1rz57jlI9EtLHKJNx4Zb3ZRyLgeL35+XIbxm6+T16X9SXKfaL28UwZPFtRdBwzdXaxzj3XaSfkbqwxZ5H/4qMUN864psjW1+7bOVtrFLaOn6PPCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLTFsj3DU1snba6+xEgMBIQto4k/E6AAAECvRQQtvby2Lf9pu80bG3/cVq/ZLpq4sKfPDHf/MlTg3aKZiLEzy9W2HpypfmXD5cqbqxIsULF8Uei1sSZz9akzhfqf625v0LThJOZ+Hn26nrz2YXV5mJ9nmAzEWT+7uH9czXddbb9yHNLNSb0jZqm+quPl5uTdb+zVydPbk08mQmnz9e9Hj042+yveyeevVoTUk/XhNRTFXBerx9xnzA08eyhjUmghx+cafeTNZy5stb824fLFYdW3FqfZ3poQs48vkvYmv0nzj1Yge3x2serjw6aH9X/UjVxZmLUrCMTVf/1o+WasFqBaN1zXGxvrfnxgxteFREfqqmtQ6/15uy11XYP2U9i0Kxnf012PVL/i9jsZXf9ebn2dqkmt8bq/3t/uXXdfCbjYWvi27xmeSOAvVqhcc7mXJ3N+ZpcmzA2+0kwnP/lbfaU+DVTeC/UfT46u9L8/TtLzSfnMmH1qxNiEy/vr/dMziXvm8frTLLWdkpu7TvnmPdMJuRmP3kcqPdH9pyvy97m6hq5V/1fO5HWxNaWyS8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgS0RELZuCbubEiCwISBs9VYgQIAAgV4LCFt7ffzbdvObw9ZMxUzQmImhJ86vtpFhAtLRj52fqZIwEzeHU0GHP04+cetjFV0mVFyrSPNaBZaJWtsppxU4XqsoMtFoHvlHbcLG3Pfl44PmuWODdnJpItEEpJ/WPRPF5sfYZ1po7p2AMtNHDz84VwHlbPN8veZoBa6ZEvpRrfN3ny0379SE0Lx2FGLmXrnPQr02P+bkxeOJWwfNwQok8/+Xz1U0+dnF1TYoTUiZyDOxayag7n1gtjlcEWXC26fqI/uLSSLa7OudmhKbiDRry+PbwtZrNVE0DWyCzIS1iXkzdfWR2kv2fL5C0Hcqan2/Jp1+WPu5WWvJZNQ8Em5mH8f2zrVemWyaNWU91+u1CYAT9X5xZbW9VpwzQTXTXWOU4DT72F1/zuTUN2qK6q8+Xinj1YpUvzqydTxsTXicRybnxifTZE/UvS5UdHulAtdY5T2RvSdszfk/Wh+5Z6bzZl3/892ldk+X6+sTrY4eiXmzh+cq0H3lkfk29k1Q/EUFwzn37Cdru1LGCWhDMYp1M6X2kQOz7bTanH9cL5afsHWk63cCBAgQIECAAAECBAgQIECAAAECBAgQIECAwPQF8p0lE1un7+6OBAgMBYSt3gkECBAg0GsBYWuvj3/bbn5z2JpYcK5i0LMVSl68UbHp4rBIzITUBK0JLfP5zooTd++YbUPQ/Lj7ekn9/UwbjJ44v9L8c003/bgizYSbiRpHoWaukbAxceJPa1rns0cGzeMVeZ6u+316brV5o8LRT+r3NmrdmPRZL2nvncD0aAWeCTCfq8Dz2L65ii5Xm4/r6//jk+WaeLraLFUUOooos5cEkT9+bNAGlLnnoBaQoPW9mrz6VsWkF2oyaCLV9VpgAsqEuwsVkua1L1V4+5PH5tsYNddJ3Jmw9Z8zhbYml96qe+WRv/uL5xfa+2SqaoLMj2pNb9fXvlexagxyzYSfL1SUm/UkNI3FqQo5Pzqz2vxbTWpN0JsJpRuDYNtrJx7NWhKn/rz2/eThinorJP20wtFEsO9WZJuINF6JXbOLXDf7PFzxcALaP3pyvjlee891EqdmTa9/uty+fnQuudmksDWB6ZttzDs0u1l7yX8W5k65z3y9FzJJ9bEKTn/65KB5rbyyh0y1/dcP6kxqfSfLeylrG3JVODzT/KzW9FIFx0/WJN2EywmSM7E2ge+J82vt1NeVghi9JnFv+76pUPe5CoN//sx8c6T2l8BW2Jrz8CBAgAABAgQIECBAgAABAgQIECBAgAABAgQIbJ1A+/28+uZRvo/1Wn0v7OX6yYUZPpPvdXkQIEDgXgsIW++1sOsTIECAQKcFhK2dPh6Lu0OBzWFrgstMY02MmYgxwWEe7cTW+hdp/lE6V/8oTYy4o6abJmbNVyTyvFYR7Hs1OfX9ikYTm2a6Z6aajoeaiSF3VAx5cE9izUH7o+UTRubH1yeGTKSZmDJxZCaM5tq5Z92mfV2+9tVHh/8QTtya++Z1//DechtrZtrpaDpspq4mZs1k2ExJ3VNBZb7+gwpJE7Ym8MxE0vbH3Q+32d4sUegoRH2mwtufPl7xbYWlV2ryauLZ/+ftpXayaF6b8PJ2Yeu7FWkmcM31DuyeaYPMx2pia4LcuFy9NbzeB2eGMefluv5oz7Xl9hGr7CGTWn/06HwbkWa6aYLWfGRibfa/WLFppt7mEaucy4M1dfVY/ZcH2f/TR+bagDgR7+nLa7WHxZp0u9KufxSPjoetD9b7IPs7eWm1+X1Nqs0E33Yi7qb75H2RSbTHalLrHz+50PzRU4P2molNf12x8VvllTXGOPfJfhLc/mlFui/Uf5mR1+U+mdbaTq0ti/N1/pnym+2M1pZ4OtN3MxE2YetfPDffHKvINQ9ha8vgFwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAlgnk+3kmtm4ZvxsT6L2AsLX3bwEABAgQ6LeAsLXf579ddz8pbN1RE1UTWK61k1bX21Ay/xhNYTr8vf21/TwpZQLEqxVlJk793YlhcHn2WsWJ+VHyY9Na20vUSxMoZvrqgV2Z+lrTXyvUzNdeqdDzUjsl9g+TOkf3TKyZ4HZ/vSaR6svH52ry6Xy7hkSQ//2NpeZfa+rpjfp8FOM+lgmpD881z9fXZypsGt3zta5MUk3c+vG5lXbK6Xh4O1rjXN3wwO7ZNqT8xbPz7f+iNNdN4Pn3FbaequmtCVMnha2JRxO0Juj8vKaVjsLPTGtN4JrQ9UxNmv3sQnl9ttx+XTvZtp24mhX84RGfhKnZR4LOnM1yxaVvfL7cTlLNlNeEnZP2kAmn8Xq6pqK202cfn28vnPX9l9dvNf9SU3XX6p6j146HrZnuerZi0xglbM2E2C8qiM37YvyRc0nYe/jBmij71Hw79XW+ItScye9rjZlwmxg4QXGs9lZs+3CFvb+oMDX7icepuu479TWJjRNEX6/1JfzNe2v8MajrJorNlN+/fKEm6daU2ATWl26stWv7ZcW6r9f7L/cZBbHjr/c5AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAvRHIdw+FrffG1lUJEPh2AWHrtxv5CgIECBDYxgLC1m18uD3e2u3C1kw9XduoAzNlNVNaR488n79f3ggxM7UzweNyxYiZ8Hni/Go7qfNkxZ/XKv4cj1uH/6gdRqqJNDMZNcFiflR9pnouZuLqRjyZW2byaP6+/ahpnwkjn6rpqS8cqwmmFbYmdk00+be/W2z+6f3ldvrnKGxN0PnjmraaEPL4/tnmckWzn9eaEltm+uipWuvmCanZY9aYYDNhaKa8JsA8XtNBs+9z19ZrKu1KG1NmOmyINk9sTTj6SV3/bE0evXJzvf2RK0dqcmo+8sjfv1/TYjNxNV4Jgofe7V9/5Zdc+2dPzLdx6xO1n3xdvj57yITT3CNR8OYINHsYlG3Wn7X/uH7kyy+eXSivprlek3j/6+uLzb98sNzcKvPVjXMcD1sfqGm8iUzfrwD47bpPprxOCmiz2D0V3x6s6bh//OR888cVt+5cyFk27everCj2jfpIuJtFJkxNcPzzmtj6VO0n+8t9fvPpSvPh2ZU29s35bQ5oc59MbT1Q02GfODRbr1+oib9zzb76cybpJroVtkbJgwABAgQIECBAgAABAgQIECBAgAABAgQIECAwfYF8b0rYOn13dyRAYCggbPVOIECAAIFeCwhbe33823bzm8PWxJyJSBNfJkZcypjTemTK6OiRH3mfqDVTNVOALlQEubsmfGa6aJ7PBM1M+fywosiTNbF08zTSXCnhaP5xmyj2y3C1jVzruY3f2+crXB3+ff1ez+/a0TTH9s41T1TU+MyRuTZszT0Tav7je0tttNmuq+7xfMWvCS2ffmjQHKmgMpNBP6mI8s2KQjNJNdNbR9NKR3sb/Z41tmur+8do785hlJq9XKjXJWpNgDkpbE1omxA0U0szXfWhClozOTUhbyLUBLWJPfORrxlNMx3de/z3fRXyJkh9+ZFB80hNKM3eztX9Mw02cW7C2axl0qOWXvdsmkMVnT5f02ITns5XHNyGwL9dbP61JrZerfu301HrEuNha8703dPD+DYBbgLavCey382PnHuC0589OWj+qO6RWDUB7rs1gTV7/G1NUR2FrccPzFaYPKivna/AdbaNhzOp9VcfrVQMXAFthcc5kwm3qch5OPE1Dj+pYPmZCpaP1fTX64trzZmaLvs/3lxsfmNi6+bj8WcCBAgQIECAAAECBAgQIECAAAECBAgQIECAwD0XyPfWhK33nNkNCBC4jYCw9TYwniZAgACBfggIW/txzn3b5eawNTFnQtET9aPnT1VkmOmg+fNY19qGh5lemkmf+frEsI/WFM5MUk0Amsman9XrEyy+XpM4E5AmbEwUOR4sJm7NxNUHKrZM+JkfS5/Jn5nKurNC2R2JWitmbQPY+trh1w8nhGZS54Hdda96Puv764St7/4hbM3XvnR80PxZTQbNZM/EnYlaM4E0Yevpy8Mo9HZha94HdYn2+glSE4TmsVoxa/6zIHHvRvP7tYmtuXcC1lH4unvHbL2+aSfRnq0AMxNKE3y+dXK5fW7SdNL2ZvVL9vi/vrjQvFph69EKZON3o2LUnMvliloTqa6MFjJ60cbvWUeC5Fgerv3njOKVKa1/98ZS828fLTcXK0K+WWcTh6+EreWeSa3vbMStOcNEuJPC1l11/azzp08Mw9a9FbZmTzn/UdiaKbF55CyerSD5xzVt99i+2fb9k3A2YWvecwlUx98jG1tpf8vaM4E2MWsm0OY6jx+aK4Om3mOrzf/9+6Xm3z9ZHr7PbneR8Qv6nAABAgQIECBAgAABAgQIECBAgAABAgQIECBA4K4I1LdxhK13RdJFCBC4EwFh652oeQ0BAgQIbBsBYeu2OUobGRPYHLbmrzIBNEFjpoJmumjiyfxjdPyRwDExZMLWhYo+R2Hrs0fnKsCca388/Af1+kwFzdTWhJiJHUchaV63o16XiPVgRZFHKtrMWvZV4JoJoAkyE2Z+GcPWvfLn+Qou99Tf73lgtv26PDea2PoPG2FrgtLEtS9X2PqLZxba+DHRbCbIZopowtYElLebQDq+z+w715rNjeqxXgvKHr5cVz2XCaV/8fxCG1s+XvFoPJYrHq3ttiVv4t0AZl2ZfJpJq298VtFnrWOxvi7TTSc9ct9DZfO/vbTQvPLooHmo4tREvglZE6PmXLL3kenEa9R920m3Fec+WNZZ92KFuf/znaXmPyoCPVfruV7Baq6xOWx9K2FrfWRya8LWxKl5/ebHeNiaSaz7xsLWWCduHoWtiVEzPfaVCnVz3rleG7Z+vFxTdNdan83XH/05YWveGwliXy2P544O2lA2Bhfr/fU3NYX23+o67dlMWOfoOn4nQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBC4uwL1bRxh690ldTUCBL6HgLD1e2D5UgIECBDYfgLC1u13pnbUtHFhIsMXjtUkzQoFEzhmMufvKrxM1JgIs/0x8pOw6msTX85VcfjQgzPNw/tnK/Dc0UaLa1V1ZgLnv3yw1HxYgWuixQSZK23tOYxaM6U1P1b+iZri+XDFig9V3JooNAFjItDFmsSZyDbhZ16btjTTUw/U6zIZNpFjHpvD1nxtYs6Xa18JWx+rqZ6513sVaL5T00ETWyYwTdA5KdSctNVvem5z2JoJqZsfcV2pXy5dX2+nxcb3t/WRya6JVCc9EsQervjzPydsrb1kmm3C3lw918rE3Fw3HxMfG8vIb/mIa9G0E2f/6f2l5jcnlpsvLtck1lpDrjEpbM3U1rjdrbD1xYfnmhceHjQv1UeC5pxzwtn/qCD1ZE0IPlcB7e0eOf9EzUfrvRKP5+v9+tRDc20wfaWm1/6X39xq/qWm0ApbbyfoeQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAvRFovxdV34zKTyB8rX7yXr5P92J9PyjDbjwIECBwrwWErfda2PUJECBAoNMCwtZOH4/F3aHA5omtCRw3h60JQG/3SGyYjwcrOMyPo//PLy80P3tivgLMmXYq6usVT75XMWmmty4mUq1ucVD/gN1XYWqC0yfq46mHZpudFawO6jWJLK8uJjpt2qC2fU0CzlpYppU+sNC0Ezsfrh9Hf/zAbDvZdXPYmlgy98jE1j9/djixNWHr+5nYWmt5a2Nia/Z5L8PWBMGxW6qprBHcXcFrwtKErO9/MYxsEw5namqe37yW7OFQha3/+8vDWPhQha2JdmN05eZw4mz2nkm43/bIf5mQujXnm2skJv343Epz6UaFtXUuufc0wtbna6Lv8/VfYuRsDtd+svacyb9vhK0Jjm/3uF3YmvD50o215q8zsVXYejs+zxMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE7plAvheV7+UJW+8ZsQsTIPANAsLWb8DxVwQIECCw/QWErdv/jPu4wx8ato7M5gdNkx9J/3/9aEfzp0/Pt59frmgyEz/zI+3zkaAzEWImmuYftZnc+XT9aPona2JrAtarNXUzU15PX1lrg8sbbRSacHMYXuZ/0bm7fsz9YwfnmmfqdS9VHLmjJrx+LWytkDTTSV+q/yXon9fE1kyEPbB7pvmo4tr3vhhObD1Tk0qvbkwqHe3hdr+38e7YX7YTQcf+vHli6wMV6VYn2pytfZy9utreJ1Hpsb1zzZ5af6bSnrq02nxybrX5/ecrFZj+Ifodu2z7v2A9lFj4lYXm1Ufmm0N7Kvwtky9qsunJev2ZikBvLg2n246/7ps+z9oTt2Yy6sXr9fqNibjTCltzbs/VpNVXHx00RyrajdMobM1U3zNldrtHzjTnf6zeO68+Ol/XGb538p/N56+vNv/td0vNryqQbc8nF/YgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCYioCwdSrMbkKAwG0EhK23gfE0AQIECPRDQNjaj3Pu2y7vWtg6Nwxb/6rC1p9X2JofGX+5QtVMBn3r5HLzZk1JTdiaCZ0Hds02jx6qOLFizUcPzjZH6kfLJzT9/MJaTVVdaT6vcDOTTpcrWFytSjGhYh6DKhsf3DnThrD5UfavPT5oEpFuDlszITUx6gvHBs2fPjPffv3hiig/q2j2w4pbs5ZTdY9LFXYm8vymR66TeHah9pdH1r+0MUE2r83LN4etCXBvLTfNJzWN9ZOainrh+vAmCXIzZTbTZjPN9ULFpQlb36vpracvr7Z7bm+y8UvuHav/9FLC1gpBK+jMpNYT5fRhTZ/N9RPnJgr+ro/RV96q1+Q/0xINjwymMbG1jZIfmmt+UlN9j++fbSf7vlux8a9q0mqm135RYevovDfvKWFrzv/4/rn2R9g8c2TQPHIglgmI15r//sZS8+tPha2b3fyZAAECBAgQIECAAAECBAgQIECAAAECBAgQIHCvBerbOCa23mtk1ydA4LYCwtbb0vgLAgQIEOiDgLC1D6fcvz3erbB1RwWmuytm/atXF5o/eWqhndiaHw8/mtia3xO2Jlo8ViHrUzVF9dXH5tvP9+6cHU5TrR9J/059nKzJnYsVp46Cy9GpZNLp/l0zzfMVrL5S01p/9Njtw9a85tma6PmzCigzJfRo3fPs1ZoIW/FkwtZMhk0MuXb7AaHtxNTB3ExzsO6554GqVeuRPVyqSbRZ38pq7aee2xy2Zt0Xa+/vVdSbCbGZjpp9J+p8uqLOZ2tiaULZenkbteZr3qt95+sS6Y6Hnfvq3n/x3ELzSoWtCUEzsTU+mYD7fgWxFyrOTQT8TY/8FwmJZPORa7cfE15wz8PWunfO4YlDc/UemW8er/fArnrffFCx8b/XpNVMrs0k28TDm88+y03YGo84/vGT881TDw2aBMtXb621QezfvbnYvH5i5cs9TtiipwgQIECAAAECBAgQIECAAAECBAgQIECAAAECBO6BQL4fNVvfzMlPbXytvof3cn1v68UaVJOBMB4ECBC41wLC1nst7PoECBAg0GkBYWunj8fi7lDgh4atiSXzSNS6rwLV/7PC1kSHiVDzY+UzQTMTOTNhNJNFZ+oFj9eU1sSmLx+fbw49ONPsrLgxU0sTaybwPF3TWzfHl7lN4tms96cVq+Yfwk89NJz4OWlia9b0ROLZ+kdzQtJHa1JqpqRmIuibNSX1o4ooM8E1EeXmR7ul+iXTYLOvxKjHaspqvjYhafaSyam3Km7NOjeHrZmGerImwibmfbf2k4mtK1VqZu25VqbNHtk710aaMfq01vH6pyvtxNLEwONryrX/uCLQlyvkzX4S4ubeb3y+2rxd1/6irC7Xn7OO2z0ShOa/NJivSDcTWkfx7OaX3OuwNWs8UGFqpqz+2bPzzbM1cXVvTWA9cX6t+d1nKxW4Dg0Wa5JsouHNj+zj4J5hFP2L5+bbQHbXjtnmcpnlXH/5lrB1s5k/EyBAgAABAgQIECBAgAABAgQIECBAgAABAgSmIZDvrwlbpyHtHgQITBIQtk5S8RwBAgQI9EZA2Nqbo+7VRu80bE3QmtBwUL/MDyo43D1bseZs87/UdNGXj8/V31WwWMHmP3+w1HxYEzk/u5BppOsVWFbYemi2osaNsLVCxZ0LTTt9tA1BK3A9namd1TWOYs3cJ2HmgzU19ZEKVH/+9EIbxh6u187W8ys15fSvX19s/vG9pXai6VIFp3lkMuzTNdXzhYfnKoKda++dKDSTVD84U7FtrSsRakLP0WP4j+7hvg7snmn39FJFpYkxE+aeqH38+pPl5nxNV71Zf54UtmaqamLVt2sy7Dt1r8SqWdNo/Yl6nzo8KIe5Zqk2erFi2UyR/aD2/klNlM1U2JWN4HbXwkwbwmYPmVS7s/6ceyaYzbU/ra/PpNdcP9HreA6aMxqUTyLjXCeRbPaa62eN2fv4Yxpha9aR98mfPTPf7ifvvwvX1tvQOJNrExxfKa+sMVNbRyvMe2C+9pH/lW/eO794dqE5Xu+FuYp1L5VfAt9fvi1sHT9PnxMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEpiUw/B6bia3T8nYfAgS+KiBs/aqHPxEgQIBAzwSErT078J5s907C1lHUmgmgo6mmCU6frImiiUAfrx8VnwmlH9Rk079/e6mNNROCZhLpYK6p6alzbZj6yiPz7RTTBJcJGhM2Jm49eXGtWaxQM18/HmceqQgygeqfPrNQP45+ttlRoWMeiUATtv7Du18NW/fvGsa2r9TU1heOzTUHKr7NNfMj79+ve71Tcejlm+vN9Yo8RxFt7rewsa/8yPunK6L80aMJW2crUF1vX/P/vrPUTgi9kdfV/TdPbL16axhqvlWx6rsVq2aiaKLYeCWWTXCbabWZwpqJsGt184S/mcCaya0X6+sTnWZN2WPunZjzx4+VV4WduV/2EN/36+PkxYpB657LiVtHJWitK1Frptzura8/VHaJQheXm1pPTZS9vNpOnx3tO47TCFsTQu+vqa1/UlNoX6z9Z5JuYtuLtaZM632/guPTNe32Up1LprZmPznl+XrfJOrNmSTwzVrz3s3fJwwWtuYEPQgQIECAAAECBAgQIECAAAECBAgQIECAAAECWyMgbN0ad3clQGAoIGz1TiBAgACBXgsIW3t9/Nt285vD1mw0k0jfrWmgH9WPhk9kmj+PPzI9M4FiosvdFU3uqx8n/2gFh5nEmsmtCRATjCZU/aeaonq6pmkm9kxEOVeBYu75RE0rfbXC1kcrUM3k1TNX15rP616ZpHqqwsZri2ttsJp/BCfO3F3XfHj/bBs2vvjwoDm0Ma01ZWmmu/7XhK11r9wnEWkeiW73VDia2DYTTzN1NRNDE3Z+XlNhP6z9nb06nJia4DXXygTYvO7Bet2TFdE+e3TQhqh5LhNo36nw9tcVn16oUDf3yZ02h62JTBPqZmLrKGy9VRNIc+3cP17PHBm0gWb2nwD3Wr0m01p/e2KlItfV5syVmlq7Efbu3Tnc948rsH2sjI9WGHulfM/XpNMErtnLufLLlNPR9Nmc0Y6apJvzie/RfXPN8fK7Wq/74spa81bt40TdL2cy1JpO2JpwOGfyQsWpz9XHs0fn2rPN81lPJt3mfZAQOnFvptDm7/KeinPC1gTUOZe95ShszTvdgwABAgQIECBAgAABAgQIECBAgAABAgQIECCwtQL17Zz6XpiJrVt7Cu5OoL8Cwtb+nr2dEyBAgEAJCFu9DbajwOawtYaKNssVE+ZH3CcwPXd1taanfnXncxVoDuoLdyYcrdgwYWaiyYSnKzV980YFlp/Xa99tJ5Au10TNik1rmmgeeW1ec3x/TUKtSapPPVRTOytWvLm01sawiToTXl6+udZGmvlH8K4KIRM1PlxB57EKNA9XGJvQNaFoHokf/+a3i80/vr/UXmM07TRxZ+43jEgrhqyY9EhNLU0omeufquA200HP1P0ShLbhbX19pqgeqKmiT1RAmQmxeWSqa2LQ9yr4/fDsahuiLqeorcd3CVsTneaRibUJgrP/Nu6tWDX3yZTYcxVzvn1yuabCDqfXZrpqJt/O1oIzqfWVCnSfqcmtWVP2lagzZ3S6pq+O4uH851Qe2fuuHU0b0SZqTQybSbHnK+RNQPurj5Yrul1p1stuuLLphK1Z20LtP2eZs8803WP1vjlY3hdq8urZCnQTU8ci5m3cW6+J8b6N91n2cbBi3QTPeZjY2jL4hQABAgQIECBAgAABAgQIECBAgAABAgQIECCwZQL5ro2wdcv43ZhA7wWErb1/CwAgQIBAvwWErf0+/+26+81hayaTJprM5NOEhZk0upqCcuwxU6Fl4tB83VwVlPk9keFCRZuZ1Jo4MVFr4tgElwlN24modY28LmFjJq4+10aaFbdW2Lljfni9m0vDibG5b6LO3Dlf/0BNH01MO6h7ZVpsJngmkB0Fnv/jjcXmnz9Ybid9Xq/XJnbNI/dLFJro9plEtDW19eCeXGemAt7hHrPPTF/NGnOPB2otiVszXTUel24kHl1r3vy8ppxWeHuhQt2lilpH9/g+YWuC0wS5+2sKawxerbD1uZpaerTWmEeu/Ubd5zefJggeTroNf/b6cAWqTx6ufVSgm8m4eW6l1hzf7CHxbD6vW7TnsmthOOk0ZxOnPBK1Js5tJ+PWnhLzjh5/8vR881ev7mjXlbNMyPv2RsybCapxHf/60evidKDW89MnBs3Pnpxv9tW6YpmJvW/W1NrXa8Lt+Guzlj07hmeSya2Z9JvQNzZrdYPreQ9s7GUUtmYPo/dY+36oM2qfq/dGzueL2ssv315sXq+Jt1njpHWO1ut3AgQIECBAgAABAgQIECBAgAABAgQIECBAgACBuyuQ708JW++uqasRIPDdBYSt393KVxIgQIDANhQQtm7DQ7Wl9sfUv1xTMxNXPlOTQHdVcJiwM2Fg27MmEtzklD+v1xckqsyk06X6SBiaqDLTVj+/uNq8/8VqG7hmUusoAB1dJhNI8+PoE5s+fmg4gTRTWDO1M2FpwscEjbl/GyjODFdwpaLZ6xXcJnrcXfFkItWFCl7zNf/43nLz7x8vt/e/Ul+TGLd9bd004WV+bH0mw+Y1+XH2B3fXGuq5/CM791mqdeaeo1A3AW32k+mziVkThH54ZrXC2a9GrdlTwtY/f3ahjVRz7UTBn5xbbd6uuDcOV2o67Ghia74+j0xtzbqePzZX9uVfv++v/a+vz9TE1sSgy+19R9NkhzHoTDuxNiHoI7WPTGJN3LqjDPLItNzsI+FxItHY5PecT+zOXVttPqppsx+0+6hotp4byg5f/0cVpf4fr1TYWjbz9dp3Tq22gfL7G19/o+LZ8a8fvmrom6m9rz0+qLh1vvVYK9Tc560KW3/72UrrODqP0X+xkf0Y1BLhAABAAElEQVQ+Xl6ZWPtE7SlxbM4pa84j760v3wP153zeRsi1x3xN4uPcN95nrqw2f//2UvO7ulfuM2md7UX9QoAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgcNcFRt//yTCX1x4bNPn+44sPD74cvnLXb+iCBAgQGBMQto5h+JQAAQIE+icgbO3fmfdhx5n8mag1P94+gWFiy0SXo0cC1vFH/pRQNdHhzY3w8/piJrwOp4smak2Mea1iwzZqTWT41Uu0l0vAurPiyUxTTaT5yIHhBM9M8hxNjR3dK9dJYHpy49qZCptJswkxEzfm+r89sdxGlCcvrTWX6u+Xa6Lq6L6JQufrfglQs9/cL1FtfqR99psANDFoHpkYurwyjFozMfVcTSr9sGLQzy/WxNIKOxOO5rrjW8oaspb84/x4XTdfd6K+PlNRP67XJrxMJDv+qOW0Ee+hmh6bGPYnFYRmPfM1KfVcTbw9Wa/PtNMPK5Bdqtcm6sw+st49D2QPwymnR+s1ByoQjVlMRyeXu+Wcct/LFdaeqommiW1zNtnTcu0jYfL448f1XzL85fMLbSyadWT92fvH9bqLNUk2ce5XdzF8dabn7i3bV+q/oHjlkfk2tk3Y+nHFwO/X1Na3Tq6275XReeRV4c6ZZD/Z92MH/7Cf4ZkMpwJnD5ncG9PEuQmnEzcvVHyd90DC6KwrZpnYmwmzm89nfI8+J0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQuPsC+R6Via1339UVCRD4bgLC1u/m5KsIECBAYJsKCFu36cH2fFuJMhMWJhI8tGe2jVoHFTXe7jEKJhNFjqa0JnBNXJj48EJNNM3E1ASi4yHj5uvlH7eJG0dTNw8/ONPeP5Ncdy4MA8+8JpNXc+1rde1zV+v6FZvmPpn2+VKFpA9UGJna8rOKXhNvjv4+01fH75/7ZV+JJhO3Hqy9JirNn3duRKGZArq8sa9hSFmR7I315nTFlIlcx6+XtY0eCYGfrDD4eDnur2mni8tNu45EpGcruExcmhB4/JH1ZP8JUhOmPlNTW7OuBKXxTBicKbGnKtRNpJv95JG4NVNlM3E255XXZMrpKAbN67POhLCJcBME5zzOV8z6RfnEMZ6THglsnz82qDMZ3ifrH4Ww8ch/Bk56JAyO4TBQnmsn/ub+CWhzz5OXKs6d8NqhwXCabs7icPZTH7vrTEZxc229jXCz7oStOd+sf6HM8x44VlNr45Pps+9XiJv3wO3OadLaPUeAAAECBAgQIECAAAECBAgQIECAAAECBAgQIPDDBfJ9H2HrD3d0BQIE7kxA2Hpnbl5FgAABAttEQNi6TQ7SNr4ikJhzFEvm92Fs+JUv+dof2iyyfsnvCRgTEg5jygow6/NM2fyuj9x/diPWHNTvCRZ3VCi5UNM8c/1M60womjh0eO2N6aX1uvn62rw+j5UKR/O1o6A1r938GO3ty/1uXGO+7rej7pd1ZJLpYl0rU1Jzrdwzce0oLN18zfx5NH006896cu/2td+yntFr69btXvJ7DmAUpq7UzRMQbw41c798bf7Lgexl5JbANJFtvj73j1mm3ebzXCf7qP/72vWyjjwS/sY916//23hdvX7jNZvX0b6ofhl9fSbGZi35cx4jg0l7GH7F8NeYDfeRqbPD2Hehfk/Am2ss1gIS6SYOzp+zjtwjr8v96o/tviZNoR2/j88JECBAgAABAgQIECBAgAABAgQIECBAgAABAgTujUC+PSRsvTe2rkqAwLcLCFu/3chXECBAgMA2FhC2buPDtbXOCIwCx/yex3gcOXzm7v6a+8xWJZmgMv/gHt2vDSjv7q3u2dUSeWYfCUETeqb0rP7zy0mvtwtS79mCfsCFs5fsIXtJuJoQd3Qm+dyDAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgewL5PpuwtXvnYkUE+iIgbO3LSdsnAQIECEwUELZOZPEkAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECPRYQNja48O3dQIdEBC2duAQLIEAAQIEtk5A2Lp19u5MgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAt0UELZ281ysikBfBIStfTlp+yRAgACBiQLC1oksniRAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBHgsIW3t8+LZOoAMCwtYOHIIlECBAgMDWCQhbt87enQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgmwLC1m6ei1UR6IuAsLUvJ22fBAgQIDBRQNg6kcWTBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBjAWFrjw/f1gl0QEDY2oFDsAQCBAgQ2DoBYevW2bszAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECHRTQNjazXOxKgJ9ERC29uWk7ZMAAQIEJgoIWyeyeJIAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEeiwgbO3x4ds6gQ4ICFs7cAiWQIAAAQJbJyBs3Tp7dyZAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBbgoIW7t5LlZFoC8Cwta+nLR9EiBAgMBEAWHrRBZPEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECPBYStPT58WyfQAQFhawcOwRIIECBAYOsEhK1bZ+/OBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBNAWFrN8/Fqgj0RUDY2peTtk8CBAgQmCggbJ3I4kkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6LGAsLXHh2/rBDogIGztwCFYAgECBAhsnYCwdevs3ZkAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEuikgbO3muVgVgb4ICFv7ctL2SYAAAQITBYStE1k8SYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQI9FhC29vjwbZ1ABwSErR04BEsgQIAAga0TELZunb07EyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BYSt3TwXqyLQFwFha19O2j4JECBAYKKAsHUiiycJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoMcCwtYeH76tE+iAgLC1A4dgCQQIECCwdQLC1q2zd2cCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6KaAsLWb52JVBPoiIGzty0nbJwECBAhMFBC2TmTxJAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAj0WEDY2uPDt3UCHRAQtnbgECyBAAECBLZOQNi6dfbuTIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLdFBC2dvNcrIpAXwSErX05afskQIAAgYkCwtaJLJ4kQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgR4LCFt7fPi2TqADAsLWDhyCJRAgQIDA1gkIW7fO3p0JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoJsCwtZunotVEeiLgLC1LydtnwQIECAwUUDYOpHFkwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQYwFha48P39YJdEBA2NqBQ7AEAgQIENg6AWHr1tm7MwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAh0U0DY2s1zsSoCfREQtvblpO2TAAECBCYKCFsnsniSAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBHosIGzt8eHbOoEOCAhbO3AIlkCAAAECWycgbN06e3cmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgW4KCFu7eS5WRaAvAsLWvpy0fRIgQIDARAFh60QWTxIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAjwWErT0+fFsn0AEBYWsHDsESCBAgQGDrBIStW2fvzgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQTQFhazfPxaoI9EVA2NqXk7ZPAgQIEJgoIGydyOJJAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEOixgLC1x4dv6wQ6ICBs7cAhWAIBAgQIbJ2AsHXr7N2ZAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBLopIGzt5rlYFYG+CAhb+3LS9kmAAAECEwWErRNZPEmAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECPRYQtvb48G2dQAcEhK0dOARLIECAAIGtExC2bp29OxMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBANwWErd08F6si0BcBYWtfTto+CRAgQGCigLB1IosnCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKDHAsLWHh++rRPogICwtQOHYAkECBAgsHUCwtats3dnAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEOimgLC1m+diVQT6IiBs7ctJ2ycBAgQITBQQtk5k8SQBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9FhA2Nrjw7d1Ah0QELZ24BAsgQABAgS2TkDYunX27kyAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC3RQQtnbzXKyKQF8EhK19OWn7JECAAIGJAqOw9YMvVpvfnFhuPj2/1py+vDrxaz1JgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgT6IjA3O9Mc2Tvb/PjRQfPyI4PmxYcHzdxsX3ZvnwQIbKWAsHUr9d2bAAECBLZc4Muw9cxq89sKW09cWGu+uLy25euyAAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgsGUCNbI1U1sfqrD1Rwlbjwtbt+ws3JhADwWErT08dFsmQIAAgT8IrNRw1htL682pS6vNh+dWm7NX1pqL19f/8AU+I0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECPRSYqbJ1386Z5smH5ponDs01j9dHDXH1IECAwD0XELbec2I3IECAAIEuC6xVw7q8ut5cvbXeBq03Ftebm8vC1i6fmbURIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwHQEHpifafbvysdsG7kmdvUgQIDAvRYQtt5rYdcnQIAAgU4LrFfDmrh1qeLWxeVh5Lq61uklWxwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEJiKwNxs0+wYzDQ75ptmoX7XtU6F3U0I9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEA3BISt3TgHqyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI9F5A2Nr7twAAAgQIECBw7wTW19fv3cVdmQABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAhMEZmZmJjzrKQIECBC4XwSErffLSVknAQIECBC4zwRErffZgVkuAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgW0kIG7dRodpKwQI9E5A2Nq7I7dhAgQIECBw7wUStY4+cjeR6703dwcCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECfRdIzDr+0XcP+ydAgMD9KiBsvV9PzroJECBAgECHBRKyrq2tfRm3Cls7fFiWRoAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGCbCCRqnZ2dbePW/O5BgAABAvengLD1/jw3qyZAgAABAp0WGIWtiVtHgWunF2xxBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhsC4HBYNDGrcLWbXGcNkGAQE8FhK09PXjbJkCAAAEC91JgPGxdXV1tJ7fey/u5NgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDKxdW5urv0Qtno/ECBA4P4VELbev2dn5QQIECBAoLMCwtbOHo2FESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIENi2AsLWbXu0NkaAQM8EhK09O3DbJUCAAAEC0xAQtk5D2T0IECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBgXELaOa/icAAEC96+AsPX+PTsrJ0CAAAECnRUQtnb2aCyMAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwLYVELZu26O1MQIEeiYgbO3ZgdsuAQIECBCYhoCwdRrK7kGAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwLiAsHVcw+cECBC4fwWErffv2Vk5AQIECBDorICwtbNHY2EECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEtq2AsHXbHq2NESDQMwFha88O3HYJECBAgMA0BISt01B2DwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIExgWEreMaPidAgMD9KyBsvX/PzsoJECBAgEBnBYStnT0aCyNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECCwbQWErdv2aG2MAIGeCQhbe3bgtkuAAAECBKYhIGydhrJ7ECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwLiBsHdfwOQECBO5fAWHr/Xt2Vk6AAAECBDorIGzt7NFYGAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFtKyBs3bZHa2MECPRMQNjaswO3XQIECBAgMA0BYes0lN2DAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFxAWHruIbPCRAgcP8KCFvv37OzcgIECBAg0FkBYWtnj8bCCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECGxbAWHrtj1aGyNAoGcCwtaeHbjtEiBAgACBaQgIW6eh7B4ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECIwLCFvHNXxOgACB+1dA2Hr/np2VEyBAgACBzgoIWzt7NBZGgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYNsKCFu37dHaGAECPRMQtvbswG2XAAECBAhMQ0DYOg1l9yBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYFxA2Dqu4XMCBAjcvwLC1vv37KycAAECBAh0VkDY2tmjsTACBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC21ZA2Lptj9bGCBDomYCwtWcHbrsECBAgQGAaAsLWaSi7BwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC4wLC1nENnxMgQOD+FRC23r9nZ+UECBAgQKCzAsLWzh6NhREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDYtgLC1m17tDZGgEDPBIStPTtw2yVAgAABAtMQELZOQ9k9CBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYFxC2jmv4nAABAvevgLD1/j07KydAgAABAp0VELZ29mgsjAABAgQIECBAgAABAgQIECBAgAABAv8/e3ceI1d61/v/W9X7vrjtXm132+117Ik9exJAkAmBCyFRBAiQgrgIBhRxhdgEAin5I5qQIAUEUsQfuWFLkAjRCC5B8EsICTCTmcmMZ/F4PN63dnvtvdvd7rWqft/PU33sGqfbvdiurup6n6Rc1VWnzvOc13POqTNdn/4eBBBAAAEEEFi3AgRb1+3QsmIIIFBgAgRbC2zAWV0EEEAAAQSyIUCwNRvKtIEAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAApkCBFszNXiMAAII5K8Awdb8HTt6jgACCCCAQM4KEGzN2aGhYwgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgisWwGCret2aFkxBBAoMAGCrQU24KwuAggggAAC2RAg2JoNZdpAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIFMAYKtmRo8RgABBPJXgGBr/o4dPUcAAQQQQCBnBQi25uzQ0DEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEE1q0AwdZ1O7SsGAIIFJgAwdYCG3BWFwEEEEAAgWwIEGzNhjJtIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIBApgDB1kwNHiOAAAL5K0CwNX/Hjp4jgAACCCCQswIEW3N2aOgYAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAutWgGDruh1aVgwBBApMgGBrgQ04q4sAAggggEA2BAi2ZkOZNhBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIFOAYGumBo8RQACB/BUg2Jq/Y0fPEUAAAQQQyFkBgq05OzR0DAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIF1K0Cwdd0OLSuGAAIFJkCwtcAGnNVFAAEEEEAgGwIEW7OhTBsIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIJApQLA1U4PHCCCAQP4KEGzN37Gj5wgggAACCOSsAMHWnB0aOoYAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIDAuhUg2Lpuh5YVQwCBAhMg2FpgA87qIoAAAgggkA0Bgq3ZUKYNBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDIFCDYmqnBYwQQQCB/BQi25u/Y0XMEEEAAAQRyVoBga84ODR1DAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAYN0KEGxdt0PLiiGAQIEJEGwtsAFndRFAAAEEEMiGAMHWbCjTBgIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIZAoQbM3U4DECCCCQvwIEW/N37Og5AggggAACOStAsDVnh4aOIYAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIILBuBQi2rtuhZcUQQKDABAi2FtiAs7oIIIAAAghkQ4BgazaUaQMBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBDIFCLZmavAYAQQQyF8Bgq35O3b0HAEEEEAAgZwVINias0NDxxBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBYtwIEW9ft0LJiCCBQYAIEWwtswFldBBBAAAEEsiFAsDUbyrSBAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAKZAgRbMzV4jAACCOSvAMHW/B07eo4AAggggEDOChBszdmhoWMIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIrFsBgq3rdmhZMQQQKDABgq0FNuCsLgIIIIAAAtkQINiaDWXaQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBTAGCrZkaPEYAAQTyV4Bga/6OHT1HAAEEEEAgZwUItubs0NAxBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBNatAMHWdTu0rBgCCBSYAMHWAhtwVhcBBBBAAIFsCBBszYYybSCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQKYAwdZMDR4jgAAC+StAsDV/x46eI4AAAgggkLMCBFtzdmjoGAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAALrVoBg67odWlYMAQQKTIBga4ENOKuLAAIIIIBANgQItmZDmTYQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCBTgGBrpgaPEUAAgfwVINiav2NHzxFAAAEEEMhZAYKtOTs0dAwBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBdStAsHXdDi0rhgACBSZAsLXABpzVRQABBBBAIBsCBFuzoUwbCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCQKUCwNVODxwgggED+ChBszd+xo+cIIIAAAgjkrADB1pwdGjqGAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAwLoVINi6boeWFUMAgQITINhaYAPO6iKAAAIIIJANAYKt2VCmDQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQyBQg2JqpwWMEEEAgfwUItubv2NFzBBBAAAEEclaAYGvODg0dQwABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQGDdChBsXbdDy4ohgECBCRBsLbABZ3URQAABBBDIhgDB1mwo0wYCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCGQKEGzN1OAxAgggkL8CBFvzd+zoOQIIIIAAAjkrQLA1Z4eGjiGAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCwbgUItq7boWXFEECgwAQIthbYgLO6CCCAAAIIZEOAYGs2lGkDAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQyBQi2ZmrwGAEEEMhfAYKt+Tt29BwBBBBAAIGcFSDYmrNDQ8cQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQWLcCBFvX7dCyYgggUGACBFsLbMBZXQQQQAABBLIhQLA1G8q0gQACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACmQIEWzM1eIwAAgjkrwDB1vwdO3qOAAIIIIBAzgoQbM3ZoaFjCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCKxbAYKt63ZoWTEEECgwAYKtBTbgrC4CCCCAAALZECDYmg1l2kAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgUwBgq2ZGjxGAAEE8leAYGv+jh09RwABBBBAIGcFCLbm7NDQMQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQTWrQDB1nU7tKwYAggUmADB1gIbcFYXAQQQQACBbAgQbM2GMm0ggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggECmAMHWTA0eI4AAAvkrQLA1f8eOniOAAAIIIJCzAgRbc3Zo6BgCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAAC61aAYOu6HVpWDAEECkyAYGuBDTiriwACCCCAQDYECLZmQ5k2EEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgU4Bga6YGjxFAAIH8FSDYmr9jR88RQAABBBDIWQGCrTk7NHQMAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgXUrQLB13Q4tK4YAAgUmQLC1wAac1UUAAQQQQCAbAgRbs6FMGwgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggkClAsDVTg8cIIIBA/goQbM3fsaPnCCCAAAII5KwAwdacHRo6hgACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggMC6FSDYum6HlhVDAIECEyDYWmADzuoigAACCCCQDQGCrdlQpg0EEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEMgUINiaqcFjBBBAIH8FCLbm79jRcwQQQAABBHJWgGBrzg4NHUMAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEBg3QoQbF23Q8uKIYBAgQkQbC2wAWd1EUAAAQQQyIYAwdZsKNMGAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAghkChBszdTgMQIIIJC/AgRb83fs6DkCCCCAAAI5K0CwNWeHho4hgAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggsG4FCLau26FlxRBAoMAECLYW2ICzuggggAACCGRDgGBrNpRpAwEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEMgUItmZq8BgBBBDIXwGCrfk7dvQcAQQQQACBnBUg2JqzQ0PHEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEFi3AgRb1+3QsmIIIFBgAgRbC2zAWV0EEEAAAQSyIUCwNRvKtIEAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAApkCBFszNXiMAAII5K8Awdb8HTt6jgACCCCAQM4KEGzN2aGhYwgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgisWwGCret2aFkxBBAoMAGCrQU24KwuAggggAAC2RAg2JoNZdpAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIFMAYKtmRo8RgABBPJXgGBr/o4dPUcAAQQQQCBnBQi25uzQ0DEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEE1q0AwdZ1O7SsGAIIFJgAwdYCG3BWFwEEEEAAgWwIEGzNhjJtIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIBApgDB1kwNHiOAAAL5K0CwNX/Hjp4jgAACCCCQswIEW3N2aOgYAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAutWgGDruh1aVgwBBApMgGBrgQ04q4sAAggggEA2BAi2ZkOZNhBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIFOAYGumBo8RQACB/BUg2Jq/Y0fPEUAAAQQQyFkBgq05OzR0DAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIF1K0Cwdd0OLSuGAAIFJkCwtcAGnNVFAAEEEEAgGwIEW7OhTBsIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIJApQLA1U4PHCCCAQP4KEGzN37Gj5wgggAACCOSsAMHWnB0aOoYAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIDAuhUg2Lpuh5YVQwCBAhMg2FpgA87qIoAAAgggkA0Bgq3ZUKYNBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDIFCDYmqnBYwQQQCB/BQi25u/Y0XMEEEAAAQRyVoBga84ODR1DAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAYN0KEGxdt0PLiiGAQIEJEGwtsAFndRFAAAEEEMiGAMHWbCjTBgIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIZAoQbM3U4DECCCCQvwIEW/N37Og5AggggAACOStAsDVnh4aOIYAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIILBuBQi2rtuhZcUQQKDABAi2FtiAs7oIIIAAAghkQ4BgazaUaQMBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBDIFCLZmavAYAQQQyF8Bgq35O3b0HAEEEEAAgZwVINias0NDxxBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBYtwIEW9ft0LJiCCBQYAIEWwtswFldBBBAAAEEsiFAsDUbyrSBAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAKZAgRbMzV4jAACCOSvAMHW/B07eo4AAggggEDOChBszdmhoWMIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIrFsBgq3rdmhZMQQQKDABgq0FNuCsLgIIIIAAAtkQINiaDWXaQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBTAGCrZkaPEYAAQTyV4Bga/6OHT1HAAEEEEAgZwUItq7R0KRS8w2nLP3Qf46eiroUi4VH4d/5xxbdR/NwjwACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggEAeChBszcNBo8sIIIDAAgIEWxdA4SkEEEAAAQQQuDcBgq335reqd6eSZsmkpRIJM7+lkrqln5tPuZrF4n6L+Z3fFxVZTLd4UXhMuHVV6rwJAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAghwQItubQYNAVBBBA4B4ECLbeAx5vRQABBBBAAIGFBQi2LuzyIJ9Nzc1aanbGUjdvWmpywpJTk5aa9p/9OQVbNSYKslpxicVKyyxeUeG3SouVV1isrNxfU+jVb0wIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAII5KkAwdY8HTi6jQACCNwhQLD1DhB+RAABBBBAAIF7FyDYeu+GCy4hBFS9CuvsnCWnp24HWKemLDmpQOtNS96cCPcpvT6jYOtsOtjqCwyVWouL08FWhVk92Bqv9HCr7hVw9ZsCr+G+vNJDsD6vwrBMCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCOSBAMHWPBgkuogAAggsQ4Bg6zKQmAUBBBBAAAEEViZAsHVlXsudO5VMWmpuxpI3xi0x2G+zV3stcf2azfVdt+TYsCVu3PDQ67TPM2ea1/8xS6ZuLz7mD2Mx/79XZlWF1rgHV8vLPdxaZUUNG6xow0Yrbmm1kk2tVtzc6s9Xh9dvL4BHCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCOSuAMHW3B0beoYAAgisRIBg60q0mBcBBBBAAAEEliVAsHVZTEvP5BVazQOqyenJUIV1bmjQErp5qDXcDw9YYnTEkrqpUuuUz5dMpMOsem+YovuM5jzc6gnXdMi1pMSstNTiVTVWVFNr8foGD7k2WnFDUzro6mHXeH2jxf21mM9LBdcMRx4igAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgjklADB1pwaDjqDAAIIrFqAYOuq6XgjAggggAACCCwmQLB1MZkVPO/B1FTCQ6peoTUxPGRzg302c/aUzVw4Z3NXL3uF1lGvzDrrr3t1Vp8vHWhVldYFgqx3a1YhV1VxLSr2Kq5FFiv2Kq5lZRavqLTits1WumWblWzbYSUdW62o2iu4lpaF+fUeJgQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQRySYBgay6NBn1BAAEEVi9AsHX1drwTAQQQQAABBBYRINi6CMxyng6BVg+rTk5aYsQDrX3XPMh6yWb9lhjwSq3DXrFVodbpqVDN1ZIegE3NB1pXGmqN+jMfbrVY3P/vgVUPuao6a1FtfajeWtS0yYo3tXi4tdOKm1utqLEphF9D9VYCrpEi9wgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAmssQLB1jQeA5hFAAIH7JECw9T5BshgEEEAAAQQQuC1AsPW2xbIfKZSqUKtXYU3dnLDE0IDNXrlkMz1nbfbSRZu93BvCrKmZGUvNzqRDrcte+ApnnA+6Ktwa9wqtsfIKK6prsNIdu62ks9tKNndaUX2Dxau8gqtXebV4fIUNMDsCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAAC91+AYOv9N2WJCCCAwFoIEGxdC3XaRAABBBBAYJ0LEGxdxQAnkx5YnQ2BVlVpne0558HWi16t9Uqo3JoYGzFL+DzJRAjAKgT7wCcPrMbiHlz18Gq8vNyKmpqtuKXNK7dusZIt26xk63aLV1Z49dZy0y8JmBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBYSwGCrWupT9sIIIDA/RMg2Hr/LFkSAggggAACCMwLEGxdwaYwX6k16VVakzfGvDprj832XrDZC2dNAdfEyJAlp6YsNTO9goU+gFmLii1eUWmx+kaz5nZLbd9nyV2PWtWGOqusq7Li4pjnX2NGvPUB2LNIBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBZQkQbF0WEzMhgAACOS9AsDXnh4gOIoAAAgggkH8CBFtXMGaq1Do35yHWq16htddmTp/waq3nba7/Wgi6pqanb1dpXcFi7/usqsgai9tcebVN1jXb6JZHbGjHD1j71kZrba+xmoq4lZfGLE6y9b7Ts0AEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIHlCRBsXZ4TcyGAAAK5LkCwNddHiP4hgAACCCCQhwIEW5c5aF6tVZVaE6MjHmY9azPnz/j9OZu7dtWS42OhSmsqkVjmwh7sbCmvxTobL7EbZRvseu0262/eb/1tB61jc61tbq+29sa4NdbErLzErCj+YPuSC0vXNh7dEj5Gcx5OnpmdtVm/zc16UNmfSyVTHgY2D/vGrbik2EpKSqzUbyX+uKioKNz0yxXdmBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBO5dgGDrvRuyBAQQQCAXBAi25sIo0AcEEEAAAQTWmQDB1mUMqIKRXq01MdBns5d6bPrkOzZz6rhXar1uybHR3KjSmrEaiViR3SyqsqsVW+xU/UG7VtttAzWd1rqpwja3lNnejiLbujFm9VUxKynyPOc6z2pqG1egVbcpr6o7OTlp4+MTduPGDbt5c9KmpqZDuFW/PCkpLrbKygqrrq62muoqq6qqsvLyMistLSXcmrGN5dtDbQNLTYSWlxLidQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEE7q8Awdb768nSEEAAgbUSINi6VvK0i8AqBKIAxUIhCb2m5++8X0UzvAUBBBC4ZwEdi5Ie2tRNwb/o+HXPC15HC0h5GDIx5pVaey/Y9JmTNnvhrD/usdTNcUtOTZknW3NibVWpdS5WbBPF1XalstN6q3bYhdq9NlLRbBOlDVZbXWxNdcW2uz1u25pjtnlD3GorYlZWGoqV5sQ63I9OaBvWTYHVmwqxhgDrTQ+1zti0j+XU9JRNTNy0CQ+3Tk4p2DoTtn19NhcXF1lFRYWHWyut2kOtCrmWlZWFcGt5uQKvVVZbU22l/pwqujLlvoCObVO+n07cvBkCzdoGVLVXUzweD+OrAHNDfb0/9p2hwCffdcK03gPvBT7MrD4CCCCAAAIIIIAAAggggAACCCCAAAIIIJATAgRbc2IY6AQCCCBwzwIEW++ZkAUg8GAFMsNg4+Pjdv36dRscHAwV4RSg0KWMa2pqrLGx0drb20NoRj3S+6IAbHT/YHvK0hFAAIHbAjoGEWy97fF9jxT4vTFqs5d7beb0CZs+cdTmrl2xxGB/ulKrv77qyUN14bgf97KpcS+bGotnLMrTZUqYJXVL+kNvRz/rtsCkUGvSK7WOF1XbUNkmO1V3wHpqdtu1qq025dVbE/ES88ymVZXFbHtL3Hb4bWdr3JrrYlbnlVtD83leuVXbsm4KaOtzd3hk1IaGhq2/v9+Gh0c8xDoVgq0zMzNetXXqXT9rH1C8t6goHXSsKC8PAVdVay0pKfXH5aGK68aNG6yleVP4PK+qrArzKxzJ5/cCG2WOPKXtQeM/4Odk165dt7Exr9TrgWeNmYLMdXV1tmljk3V1bg3jmiPdfqDdCMd97S++3WvbT+87alL70HzTOiTpf+4U8wNE3O+jbX0l23t6eemFhn/9nyg0u5LlPFCQdbpwjaumaExxX6cDzWohgAACCCCAAAIIIIAAAggggAACCCCQxwL6PbFyFLrpd9BMCCCAAAL5KUCwNT/HjV4XiIC+ONalja9evWpHjhyxt956y86cOeMBims2MjISAjYlXtlNwdbW1lbbvn27HThwwB555BFra2vz0EwJoZgC2VZYTQRyTSAEnObDTVRsvWN05HJzwub6rtr0qeM2c/akzZw7bcmxsfC8QmC3EkN3vHXJHz3MGvOqn3GvDFpUVWMxrwaqn0O4VemjxJylPICZnLxpKb8lJ8YtNTtrKX/+zjYVap2Nldh0vNyuVHXapartdq52v/VVdNjNkhpLeBXXlIdmFV4tKY5ZU43Z5qa47WmL25aNcWtv9KqtJTEr8eBrPk8Ksyqwqj8uGfMqrX39A9bX1+e3ARsZHQ2hVs2jIJ+29fTtdrAvBPjcKO5jo1+gFOuXKB50DVU9S0tNVT2bmtLB1o0bN4bH1dXVVumh12L/HFfwjyn3BGZ9v7nmf2zU23vZzp47bwMDg2H7iPsOofOvTT6WW7dusQMP77cNGxpzbwXuc4+SHpZP+HFE5603b06GSrYymvV9Q8eWzBCk9glVJlbVYlUxVgXjUt8XiouLl33eGu1rybBsHTO1j6V/Ual9i19U3ucBnl9c5h+s8/kG3wAAQABJREFUaMw16RClMdX46RjHhAACCCCAAAIIIIAAAggggAACCCCAAAIIrLUAwda1HgHaRwABBO6PAMHW++PIUhC4LwLpylbpL4knJibs9ddft+985zt28uRJO3bsmJ0/f97DAjdDW1G1JJ2U6bG+SFaQQuFWBVvf97732cc+9jFTSIYv9+/L8LAQBBBYgQDB1sWxUrMzNtd/3WZ7ztn0O2/ZTM95m7t6yQOn05ZSCGyFU8wrf8Y8FGZFHgpTENJDkUV19VbUuNGKamo95Frlryls5J8XCrFO3bTE2KglRob9NpQOuHrVUZvz17x93ZRX8prgNl5ca6OlDR5o3WcXavZ4pdZOGy+p9yqu+uvW24FLhVsrSmO2sTZm3V6xtbvF7716a11lLFRzXeEq5cTs2oYVzNOl5lWZc3BwyKu0Dlj/QPo2Mjxq4/5ZHYVao07rc1k3TdG9lqWbpuhejxUEU7ivrq7WK683eNXW5nBTBdeGhnpT9dbS0hLCYsLKsWlmZtYuXb5k58732PETp0LV1tHRkXDOpZCm/uCou3ubvfeJx23Tpo051vt77060TWsfUbXiuUTSZqanvXLtmAe+x7yysVcz9kC4Xgvb/Pz2r31C56XlXr24qqrS6uvrQnXbKg+4qpKx9gndlvrjLC1b+6baV6BWi9d7tJyystIQlL33tWQJmQIax9nZuRDm13+PKLSs5zSeqlJc639oV1FRkfkWHiOAAAIIIIAAAggggAACCCCAAAIIIIAAAmsioN9FKz+hG1mJNRkCGkUAAQTuiwDB1vvCyEIQWJ6AvvyNQi6Z71D1I51QTXmw6Pjx4/bCCy+EMOvhw4ft7bffDlXiNL/eq3l1H0IC889Fy4qWrWW1t7fbRz7yEfuZn/kZ+4Ef+AGv+OYhpNsZpOgt3COAAAIPREDHqMzKbtEx64E0lk8LlYtXNJw+45VaTx2z6RNHbe7aVUuODofLd4d01nLXxz8LNBXVN1px08Z0dVYPQsZr6624cYMVb2rxgGuDB129lKqHXv3Dwzx5FqrCKtCaGBywucF+S97wSrHjut2whD9OeDBtZi5lU/EKu1ax2S5XddnZuof9frvNFFVYIu6VWhf4QPEipFZdHrO2hpjt8HDrQ5vj1toQ90qu+fnho8DqyMioB1kH7YpXTtfl5qNLzo97pds5D3jNeYXWaNvWWupzOOafwfocDr8s0ee1P699QRUmda/5b73HX9e8CoUVF5eEaq2bNjVZu1ddb2lpto1NTVZbW+PVW73yrsaPKWcECjnYqu1X27L2kRD6HhqyGQ+YTnnYdHh42AaHhm3Ag+AKP0572DVzm9f5qCoWa5tWZWJVs1WoW6HI6pqqEEzVlQjq6uqsyPeNxbZ7Bc2vXe8z/SHYpJ8/qz/VXv241fcbBcW17MXemzMbUZ51RMYKE496cFnViie9Mq+Oa8UlxR5oLbctmzdb04YNuOfZuNJdBBBAAAEEEEAAAQQQQAABBBBAAAEE1qOAfj9MsHU9jizrhAAChSZAsLXQRpz1XTMBfamvE6gozBJ1RKGAy5cv26FDh8JNVVpVoXXAK8KpylU0Re+LvqSPlqWKV6rQun//fnvxxRft6NGj4S16XV/qv//977f/8xv/xz7w9AdCVTi9GC0jWjb3CCCAwP0W0DFLIRjdFHyJjmH3u518W17KQ14JD7FOHXk9hFpnzp+xpIdMk6qY6mbLmvz4HvPL2se80mfMqxOWtG+x0q3bQ4A15iHWeJVXbPV7VW2NVXjQ1T8nPD0Zgq2hIqv3IXlzPARZ06HWGx5uvWFzQ/02O9BvUx7gHLuZtIFkjfVUdtt5r9TaV7nZK7dutJS3fbepzPOztV6ldXtz3PZtiVvXprh1NCrk6V24+1vvttisvzblRhPjE16R84pdvnLFrly5GoJ6I165Va+pSqQ+S9Oh1PkKkx5OTf+SxH/2oFe4LLe7a9vXPqDPe1U41GPdVPlQz6naZHRJ7+rqqhDKU7C1w/9AZcuWjhB2rav1yrsaQ6acESjEYGu0LWv7jyqm6hz2Yu/lcM6qEKv2mxseNh2/MW7TquTq23g06f3ab3RTVVtVaNW5qrZ7VVqtrqm2et/WVeG2zSveVlZWhHNXbft3nrv29PTaqdNnbMiDtGN+/NI+taGx0Xbt3BHCrRua0gHLPDrsREw5ey9jVeK9cvWanT59NgT/Z73Sd7l/FimAf+A9D1vn1i23xjhnV4SOIYAAAggggAACCCCAAAIIIIAAAggggMC6F9DvlAm2rvthZgURQKAABAi2FsAgs4prJxB9ga8e6HE06bEu1aoA6ze/+c0QSL148aJXgrsWnlcQLJru/CJfzysso0vcqhLrT/7kT9qOHTvC5Vd/+qd/2s6fPx/ait6n4Ov73vc++73f+z17+umnw3uj16I2uEcAAQTut4COcwRbv1814Zcqn7t+xSZfe3m+WuuVUEHVsb5/5oWe8f8QV0g1VlIagqvFza1WtnOvlT/0HovXN1is2gOQXvlTSVJVDvWE0e2l6GH0UeTjk/I2w21q0lJegXT22hWbvtRrY35p9SuDCTs3VW+nK/fY2dr9lowV+W3pYKXCqwqxbmmK25729K27xS87XhqzEn8+HyZtuwpv9fX124mTp+3ChR5/3Gc3vdKuwqh6PfqFiMJ5Ct9VeihP96V+KXRdDl3Pl5aWhF+aaH69T2HA2dkZDwDOehXLGRv38J8qWiogqPCf9hcF+HQZ9Zbm5hBq3bmj29raWkPlVoKtubX1FGKwVcFG/dHVDQ+vhkqtXvX5lAccT50+HbbrsH/4dpzU8cVv0aT9Rbfoueher2u71k3ntlVVlV7BdYNt3dxh3du3hVB3Q4NXoPbX9AvIzOmdY8fttdfetKseshwYHAz7UKvvK08+/pht29bpVy5oC8vNOAJmvp3HqxDQcUpVcs+ePWeHXn8zHCMVZta4qVLr0x/4Ydu/by/B1lXY8hYEEEAAAQQQQAABBBBAAAEEEEAAAQQQuL8C0fc4+t0y36/cX1uWhgACCGRTgGBrNrVpqyAFoqBKFFad9GDMF7/4Rfv3f//3UJX1ileCU3XW6Et+3etEK3OKwgD6Yl9h1v/9S//btndvt+YQfNkSTsa+8pWv2Cc+8YkQONDJWdSellfhl3v90Ic+ZH/4h39oTzzxxPctP7MtHiOAAAL3Q0DHHh2HdFMYKjrG3Y9l5/MyVKF15uxJmzp62GZ7znn11iGzuWkPofpa6Taf3brjY+D2KvuMCrXGPcBa3N5lZbsPWElHl5W0tJuV++XqS72Kq38G+IH+9nvu9sjHKVRx9cClqrdOD4/a6PVhu9CXsLf7K+z8XJP1pjaFJdyOqS2+QLWqddlYEwvh1r0dcdvlAdcm/7m6fJl9WnzxD/wVhU8V3DvvYdbzFy5aT89Fu+6h1vFxD/7Oh1qLvTJriY9BqK7q1SUbvUpkY2O9NdTXeSi1fD7Qmg7ixT3pm94XVLU1XaFVy7/pl/Du7x/wS7YPecXJkfTl1D3gWuKVXhWS3bp1s3Vt3WpdXZ1ehbLBg2NVfHY/8NFfWQOFFGxNH8ejy9CP+h9iXberftMfZEXbsaoO63xVwe50EDUdWC3y45HOS9Pnsuah13SgPqHPh0QyBFLn/DNCbWhenbNu2NAYwt1bvWLxZg+5Ktx65z5w9J1jfqWDN+arKQ+GasjtHmx96snHbfv2bQRbV7Y5L2vuEGz1cT+tYOuh1/3Y2O8hfQ+2+jGrqanJfvSDP2IP738ojPWd/y2zrAaYCQEEEEAAAQQQQAABBBBAAAEEEEAAAQQQuE8C+h0lFVvvEyaLQQABBNZQgGDrGuLT9PoWyAxxTXhVNgVZ/+M//iNUaT179myo/qYv8Reboi+EdcL10EMP2Yc//GF77LHHQnXWrk4PM/nlW6N5VPFNlVuff/75EKDR82o/876urs5+8zd/M9xUDYsJAQQQeJAC6TAfwdZ3GftxefLNV23qrdds5twpS/RdtdTMTQ+0Jixe5oFQL7RqJV7ZUAHXkBB917tDtdVY3CuxllZYUWOzle542MoffdqK6jf5eyvSYVY//qfffMd7l/GjqrfOziRtdHzOzval7M2emPUMml0d8VCmf1x5bm3ZU42HWBs9zLpXVVs3x61zYzrcuuwFrMGM2mYn/PNUFdXfPnrMjp84FUJ7N+Yvc64u6XNVlVl1+fSNHuRq9kumt7Q0h0unb/RLn6tKuoJ9mk+3zCnaJ1StVecFV65c9XDgNbt6/boNDg6HCpgVFeWmz+udO7ZbZ+dWa5+/HDt/TZwpmRuPCynYqlC3AowDg0Nhmz1//oL19l72S9JfDcFUbes6Xy3zSsW6JH2FBx21HyioXeJ/lKXtN4S8w3Ek/ccO6QrGc16xeDLcFPae9tC39hMtR1VAu/2PuHbv2hmqF2t/iwKy2gIItmZ/PyDYmn1zWkQAAQQQQAABBBBAAAEEEEAAAQQQQACB1QlEv7emYuvq/HgXAgggkCsCBFtzZSToR94J6Iv3hUIrWhG9NjU1ZUeOHLH//M//tG984xt+KeMLNuKXNtbzql6oKXr/ncvSCVarh1lUnfXHf/zH7dFHH/VLEbeFalVRYCYswP/Re3t6euzAgQOm8I1+1i2aojZ0v3PnTvvMZz5jH/3oR29dHlnzRfNE7+EeAQQQuFcBHYcU3k9X+qNiq0NYyit2Tr7yPzb5xss2d/WiV0gd8FDrjMUrvFJhjRdrrYr5Yw9EFvtxWZVbMzOqflhPpRSWLPZga6XFG9qsqHmXFW9+1OKVTWbFXtGzyNOx8VJ/nxYQpWNXMJI+ZglPr87MpmxoPGWXhz081pu0Iz1JuzFlNuXPZ3y83HXBZR7SrSyN2R4Ptu7dXGS72uLW2qD+p1frrm9egxe1veqzWZc1V7XWM16RsOdir1dqnQiBPr2uKpRlZaUeYt1krR5m3dzRHiqn13mQr9JDeOVlZeGzNTN8d+eqpNtRlcpZr9qqEO0NGxwe9sqXfR50vRJCgaoAu8WrVG7y0Gy1V2pVu3xO3ym59j8XQrBV26tuN7xi8cjIaNg3enp67bJvq/pZoVSds5Z6EFWB77q6Wutob/fL0jeGc9Yy3yfKSj3orWCrH5N8aeEzQRVap6emwzmxqhYPDAyGy9qPjo76/ubhVv+fqrdqX+tob7ODB99j27o6Q1g2CnkTbM3+PkCwNfvmtIgAAggggAACCCCAAAIIIIAAAggggAACqxPQ9yr6/TXB1tX58S4EEEAgVwQItubKSNCPvBLQl/w6GdK9puixvvAdHBwMYdYvf/nLduzYsRA2VXhFry006Qv6aHm6/OquXbvs537u50KF1ubm5nBJYgUDoi/y71yGQmOf/vSn7dlnnw1hAfXlzkqwek6TQrF/9Ed/ZL/1W7/l4ZnaW/2OXr9z2fyMAAIIrFZAxzWCrbf1UjNTlpq8aTcPfcem337JkmPXzObGLFaesKJqD7XWzgdbKzNyqZ5NDUdv/0ehVs96+eSh1eIKi9dutFh1u8WqOj3o2ujP+TG9pN5vdf7YFxhKwCrgqiWEpdzuzBKP9NE2PZeym9Nm73iw9Y3zCbs4kLS+UR/TELBdYgH+cpH3vdhvO1o92NpRZPu2xG1zU9xKPLAbX1l3lm7sPsyhipSTU5Mh0HrUq7Ve9mqqusS6qkpqO9ZncHV1ldXX11nnli3WudWrqba3hkuml5Yq0Kog8com7SNa/sTETevr7w+h2pqamtBGk1d/rfGqsPp85jN6Za7ZmrsQgq0Ke2sb7ffg6TWvLnz85Gn/Y6qLNjQ0HJ4vLi4K55MNDfXW4PtGk18RYPPmze8KtpYq2JqxHWu7D8FWrwA7NTnlVWAHw76mfa7PL20/7H8EpsCs2m2or7cWPxd+6snH/I+zdhBszdbGvUg7BFsXgeFpBBBAAAEEEEAAAQQQQAABBBBAAAEEEMg5Af1emmBrzg0LHUIAAQRWLECwdcVkvAGBdJVUnQzpy3nd9PiVV16xL3zhC/biiy+aKk6Ne3UrBQIUiInmXchOrylw+sEPftA++9nP+iWNW8IljjPDrJpnoUltqwpsV1dXCNDerS0tQ7ennnrKPve5z4VqsFrmYsteqD2eQwABBJYroOMTwdZIyy3GhiwxdM2mT37XZi++7uHOIS+uejOEWuPlfnxWoVUPfcaK/HgfHfKj+2gx4V6vx70oq7+hqNxvFf7YU7EKtVZ1Wayy08OyrWYKu/prnnQN879rEcv4IeGXDPePMOu/kbIrwyn77vE5e/ti0mYTGtf5jO1dlqOu66Orc2M8hFv3e7C1q9nDob6unoW7tYp3WURWX5qYmAjh0uMnTnm19aM2MjoWPse1HSvUqoqUqtLa1bXVujo7Q0VVVWkt81CrLrG+2s9S7SMJx56ZUfXK6VCdVZdvV3v6hctql5tVvAJtbL0HW7XtT3v4VPuGqhdHlYxVXVgBR1USrqgot87OrbZj+zavXrzJNni14Qqv3Krtt9i3X+072oYzt2MtVxn98Pkwv+1PKuDq4dmrHp694MHZwcEhP68d96sXNHuIfIvt3bPbOjraby1PmxwVW7O/4xFszb45LSKAAAIIIIAAAggggAACCCCAAAIIIIDA6gT0e2mCrauz410IIIBALgkQbM2l0aAveSEQvpCfD2ydO3fOvva1r9nXv/51O3XqVPjyX1/Ua9J8OmGKfl5o5fS65lNl1t/93d8NN82n56PXdB9N0TIzf/7mN79pP/ETP3Frfs2z0BQtUyFaBVufeeaZUA02c/kLvY/nEEAAgdUI6FgUgkshuJcIx7rVLCfv35PSZ8Kch1p7LHH9mN+OWHLopOdNxz3YOuPZVD/el/hxfuUFP+dp/L0h4FrlgdY2i1Xo1mFW7tVc/WcrUSlYlYFVA7c/T5bjqo+TyRmzscmU/dc7c/b62YSNTKRsclafcctZgtmmuph1NMZs7+Yi626JW0t9zKp8nZXfzaVJVSNPnz5jJ0/pdtorRk552NRX3ieF9xo9sKcA384d3dbe1mKbNm4MIbvFqqmvdN3u/Ozms3mlgtmffz0HW7U9KnA9NjbmgdMBO+X7xqkzZ0NF1fHxiRBqVZXWFg97d2/v8tv2ULG1ehVVhtNtJTxIPhEqwV66fNkrxA74H26NWltbawi2qp36urpwrhuNNMHWSCJ79wRbs2dNSwgggAACCCCAAAIIIIAAAggggAACCCBwbwL6noVg670Z8m4EEEAgFwQItubCKNCH3Bbw8I5qS0VfvOsL/pdeesn+8R//0b71rW+FL/31mm6Zk06W7nwu83U9joIrBw4csC996Ut28ODBW8/dOa+WFc2v16Jl//zP/7w999xzIUC2WJuZz+vxL/3SL9knP/lJ27Zt253N8DMCCCBwXwR0jCLYqg+QOUslJi05+JYlr75gNt1rNtvnxrN+TPfQqwKe9xzy9AUouKqSr16lNV7WYlbdbbG6A2aVHV4NdqO/psqt/voKp1mv2jrtQdZXTs/Z4QsJu9DvlcI93Lqcqq1qqtILy9ZWxmxXW9x2+m13e5FtqPZK5cXenRX25UHNrm2199Jlr7x+yM739NjVq9dDRUpVXddnZr1fYr3bK1J2d2+3Hd3brKamxiorvFKuv8ZUuALrOdiqUOvs7Ixdv97v1VovenXU4x5uPR3CrnHf7isrK0Pg9OGH99nmze3W4n+gpZD3aoPe0eeFwuRjN26EUOvw8HBYbnt7W/jl453LJtia/X2PYGv2zWkRAQQQQAABBBBAAAEEEEAAAQQQQAABBFYnoO9wCLauzo53IYAAArkkQLA1l0aDvqyJQBQQ1clNMqnwqIdt/B89r3tdhnV8fNyuXLkSwqxf/OIXvaLUUHgtqsYa3a9kBbRsTQoH/MIv/IL93//7f2+1ebflRP3V/YULF2zfvn2hqpwCOMuZ1O7u3bvtC1/4gv3wD/9wWI+oL8t5P/MggAACyxHQMaqwg60eak3OWmr6uqVuHLfU6HFL+i2WGPPnJ5xQlVzf/QcRy3Fdch4Pr8aKq83Kmi1W1eW3bg+57vBca6NXb63zD7iVVW71j0Wb84+Xnv6knbqatO+dTljvgIfe/Dkf4iWnYs/SlnmIVZVb2xvT4dbOjXHr2BCz0uKYxdc4G6ptVGG6c+cu2AsvvmSXL1+14ZGRsO3qs7HML6muS6zv2bPLtm/rsq1bNltZWVmoWLnkyufgDJnnEFH3tJ7ZOg/4/vbVdron2ejDrfbV5Px5nh6upu0HGWy91c+MfSybTumA6bj19l6y016p9dy58yH8XVxUFM5bN3rF4p07ttt7PNja2NhgVVVVYrznSeeyM7OzNjU15VWTJ00VYGs9SL7Q9KCCrbKP/KN2o+0juo+eXy/30fpG99F6aX0z15lgayTDPQIIIIAAAggggAACCCCAAAIIIIAAAgjkuoB+t0mwNddHif4hgAACSwsQbF3aiDnWuYC+xI2+tI2+0NWX6brpi/Wvf/3rpjDraa9UpZ81TzTfQu9dCZfa3bp1q/3pn/6pfexjH7vVj+Uu49lnn7VPf/rTXlXLy+mtYNJJ3Gc/+1l75plnrM4v7aopMljBYpgVAQQQWFRAx8eCDrZ6pVabG7fU2DuWvP7/WWryohdpHfUw3QMKtN45EvHSEHCNVe+xWMNj/lcUHnKtaDeLq3KrJ01XMPlQ2vRcyi4Ppez/HZqzY5eSNj3j45sRurvb4pRbVMC1ziu3bt0Ys32bi+zR7XGrrUiHW+/23gf9moJaY2M37NSp0/a8B1v7+vrt5s3J0Kw+K3X5880d7bZ/317bsmWLtbamK1M+6H7dj+VH5yuZ92GfjM5j/F6f/bpF1Tajn6P7e+mH2tWUVHseIL59TEifR/m/XrU3at/vVfFzvi9qX1N0H35Y4T9R+1G70X3oj/o2v/7Ruus+c701f7SMqOnM13XudenyZTt3vseOnzhl165dt9HRkWBZ6oHo1tZWr/K7zd77xOO2aZNXTb7LFLV1q4++c6X8WJF+Xm+Uk+++MvI0eGZf78VosS5pH+jr77ezZ8/ZseMn7Xpfnw0Pj1i5h7obGxtDyHvXrh22d89uD3p7WeY1mO5HsDXTPW2vz62E39L+6dWS9+19ZDX2me1EVNG2tNLxu70sLen2QXgly4uWkf6MTq+rHkfPR8vSMTC9zaX3DR0vr1/vs9O+XRw69LpvF/3hDwCr/I/0mpqa7Ec/+CP28P6H3rUfRevLPQIIIIAAAggggAACCCCAAAIIIIAAAgggkE0B/Z6TYGs2xWkLAQQQeDACBFsfjCtLzRMBfYEbTapOpTDrwMCAf1l7yP7t3/7Nnn/+ea/edjl80auTH33pq3u9T/fRlLmc6Lnl3OvL4scee8yee+456+jwy0VnLHOx90dtqZLsBz7wAb908ith1qhv+iGaZ7FlqJ2nn37a/uzP/ixUfF1Ou4sti+cRQACBhQR0HEqHZpJ++erEkselhZaRn88pMOeh1pkhSw0f8mDrUUuOn/aQq4daE9Pzq3T7s+eBraNXblWINabKrRVbLFb7kFdu3e0/e8Cu2Csghs+b259jd+uHPir9yuR2bSRpX389Ye9cTNj4VMrm/LmMj9G7LSJUZi33TG19Vcy2NMVsZ1uR7WyNW9cmBabu+tYH+qI+93t6eu2EB1uPHDkaqrXq81WTKrNu3brFQ3ydXp1yhzV7OLGurnZZn9UPtNPLWLj2P62HLuuu4O7o6Fh4rAr0qoiZ8DK8mkfnIaEKZ1VlqI7Z2FAf1rGmusbKy9OVaVdzjhC1PzFxc74PYzbq/ZiYmAjnWnMZ7RcVxT0wWe5VPyut3ttXmFjOFeXlYQyWsboLzjI97ed1U5Phsvajo6PBYNzbV2hTxyaFAouKikNYs66+zrTuCm1WVFR4pd6SW/Pr+KWgo6bKygqvIFrtNuVhO7h8+Yqdu3BvwVaFBaem5sfKx0kVgzVe+mOqWX8t5W1rnPQLuKqqivQ4eZXUhvp6q/FqpgqW6rX7Ncnmhm83F71a60nfL44ePWY3xidCZWONS0d7uz1y8D3W6fvGhg2N97XtlazDvQZbtQ3Ozs74uo6n95Ex30a1nfi9XktvI+lwtfy1XdTW1lh9ba3Vu311dVXYZouLi8P4LNZ3LUf/jaF2NLaawlh6GLTSt/lKX66WsdSkfUo37VPaj276sUtVgzWVlBRbme+vdTW1Yfu42zFV27P2DfVlaGg4XIVCy9SxUH1V8FsB81Lfrqqrqq0h7BcNYd0VbB4YGPQw9wV7lWDrUkPG6wgggAACCCCAAAIIIIAAAggggAACCCCwhgL6boNg6xoOAE0jgAAC90mAYOt9gmQx+SegL4c16YvcS5f8UqtekfX111+3f/7nf7Z33nnHv9SeC6GFaD7dR+GO6LG+iFbwRVW7oiDMciW0LH0x/iu/8iv2uc99LnwpHi1/qWXoi+cXX3zRPvrRj3oFreEwu750z+zr3ZahdjZt2mRf+cpXQjj2fgYi7tYuryGAQOEI6HgUQjJ+vCqcYKuSnn6bHbbUxHlL9f2HpW6csFRiwstWetg1o7peVrYEP9ZbUZUXaPUwZv2jfjvgIddOT2xu8LSWgnDLT5TqI7NvNGX/9sacHe1N2PBEykN3qsa5vDVRS+pOiTfbWBOztsaYHewsske6iqyiLGZlS+e6ltfQCudS2Ozto+/YiZOn7ey586bgZ1QFXVUI93ml1l07d1hX59ZQ4VwhwuV+Vq+wK/dldu1zOn+ZnJwKIb2+/gHr9z/YURhtYHDIQ54j4XwlCpYqVKpwZ12dB/b8nKSleVOoLtq0YUNY3xoP75V49dGSZQTvtALa76Og5oiHBAe9Tf3BUP/gYHg8MjIaQnmaR2HREKz1cr6Vbl3ngcFmte+Xud+0sSkE6lRVXtVPFdxbzhS1rzFUOFRVRq95tVFV4u33CqTq040bE952IixO53EKFm70NtV2W1trCIzWemD06rVrbjYYtgcdwzRtcJf2tpYwT5mHWxVsPb/KYKvGSiHjCQ+NDvm4DPhY9fUNhOqoMlMAd9oDkap2G/fgqvpap2Clj1ObVw5ubm4OVgqbVlVV+evp6pqho6v8J/Ib8nPLs2fPeyXak35OfMz39UT4BaDGZfu2bfb+9z3pFWlbwnOrbOqe37baYKvcNZ5R6Lrft4137ycac22fCj+ng60hiOrGGzxQvNENtI1u3LjBf24MAVcFnTXPQscGbYsKol65et0u9PSEfaSkpDRs41qWlqEQ+VJT9JmqKqmqpjs4MGQTN/2zxSftPwrdKnTc2tISjrV3Li9a73Hf3hRqvXL1ml312zW/KcyrY1/C11lBalVPVrBc+19z88Yw1s2+zvUeAFc4/JJv92+8cZiKrXci8zMCCCCAAAIIIIAAAggggAACCCCAAAII5IyAfl9LsDVnhoOOIIAAAqsWINi6ajremGsC+sJXk05S9Fi3KOwZPY76rCpYV69e9cvGXvPLD5+yv//7v7eXXnophFz1Hn35q+VE99H7ouXri97Nm7eEAITmP3z4cFhe1IfM+Rd7rOV3d3eHIO3evXsX/DJ8sfcqEPLxj388vFdVoFY6qW3dPvWpT9lv/MZvhMuHrnQZzI8AAgjcTUDHQx1DozDNSo6Pd1tu7r7mn0Gq1JqYstTom5YaectDrccsNX09/bwCr2sxFVVmBFsPWqyq06y0yT8sVx5s7R9L2TffmrO3vWLr4A2vCKpg6wpWS+FWv6J3CLLWVpp1t8Rtd1s8VG9tbfDPpTXwUfjx9TcP24kTp71CZa+HCW+GYKY+26urq+1Rr0y5Z88u/8zv8OqFVWsa5FuKR/uY/shG63TeKypevnI1BDNveGBN66Wwq15PePld7ZeaovMBBXb1hzoKyNV4RVJVA23x4GRHR1s4R1A1U5/b5w9vW/Afta/ArMKzFy9dnj/Puu7VPsc9NDcRKpCqUqSCfne2r+BqaanarwghTVXDbG9tDe5tHqBs9ECh+nq3Se0rsKjQnoKKCp1ecQN5KMAcKlz6+itMGh2PNM4KjKoapyrGaoxbWppDOPCSV+y/7qHYWa+KGQVbtR3s2b3Lg6UtHvqrdWMFWy96APSUn1Ne97ZGwrmnwrit3v/u7m323iceD2HhzL5HY6XLumsZqo46NDQSKoeGsVK1Vjn5+ujsVuseVdFUdVv56Fx0U1OTtfsYbd2yxYON1WE9MttZ6WONiwK1Ck6ePnPW/+jLb2fOhMWU+fi0eai3e/t2e/zxR0K4c6kxWWn7K5l/NcFWuas6rrbHS+5+ybdTjYH+SEzbx5TvI5NuL4doG1GftJ4lJSUh7KltRdupQqnpfaQ9hFRVPXehALb2uUGvjHrq1Bl747B/LnhwVEHWbV2d1umB+c0d7WE8l1p39Uk3BfBVMfXixd5QjVjvq/VQ+KZNTfaQ//fErp3d37evRNubwrwazwtepXpwaCjsGxO+fypArTCv5tNN66tKzqraqmOC9g2FeRV4V2VY7U/Hj58Ixxd56o8Amnxb/NEP/og9vP+h8P613DaWsuR1BBBAAAEEEEAAAQQQQAABBBBAAAEEEFj/AvodJcHW9T/OrCECCKx/AYKt63+MC2oNoy9jtdJ6HE16rDDokH+Jq0Dr8ePH7Vvf+pZ997vf9eDD5RD00JfFC30Jq/cq+KAvdhVS2Lp1qz322GP2v/7XT4TAxd/93d+Fiqsrrdiq0MOHPvQhe+6550I1soXajvqfea9+qs8f+MAH7Ny5c7fCIZnzLPVYbem2wy+t/OUvfzmsj9aRCQEEELhfAjp2RkEchcIyj8n3q43cWY5CrR4U9MqsqdlRS/X/l6WGD1lqpt9sThX1bn8eZa/PfkyPewXBkkazcq/gV/uw3/ZZrLzVy6bWeVJLx/y7BwUz+6qP1AEPs377bQ+29ibt+kjSpv0q2J6RXNGkFnXV9LLidNXWrRvj9kR3kYdbPWCoLi+/Sytqd7GZFYL83vcO2fGTHkz0yoUKtWl7VYit3oODjz16MB1k9EqeFRXpy88vtqzM57W9azk6N1CQMuGBz3vdB/S5rc9qhefUP51H6OeoLV22XiG9K5evevjtnFcc9aClV2JUmFTnQOqP9sk7+xGdE6R/wRMPy1XAU5XdFbrr8Fu7r78um65LkS80abm6LLrOs65cuWZnz58PQU9VPFX7+iOc6Hig9qM+qG1N0bql10/rVhIqkna0t4VL3re3t1qtX2ZdAdyFzle0PLUzdmPMz/OuWY+H/hQYvXat71agNmpf99EUrbuWqYqnCrkqoNfi6369vy+ETec0fvPv6d7WZQcOPOxB0s1evbVxVcFWta+ql8MedlQFzx4PtSpgOe6VZKdC8DgRxmohJ/Uz3VcP43pFTVXQVJXO7du7Qth206aN4Rd1CxlF63y3e20jY2M3guHJ02dCgPKCV6SVS7WPf6efA+/o3m779u+1xoaGuy3qgb+20mCrQtfaH1WNVlVPFQztVaDYf1a1UlUQ1hT3g1DMj4/Rtqnjt16LxiO9raavurDRtxVtC+2+nbZ6IFqBY1VvzZwUKFe14CNeGfrFl14JFXgVjt2ze6ft3NFt23ybUrXVpSZtNxofVdE94UHqM2fPhSrMep+C56o2/OgjB28FS6PlKcieSMx5HwZC0FvjqnXXNigPLTPa/6L11l4pjdv7qYXjocLUCr7rWKPg+Nj88YVga6TNPQIIIIAAAggggAACCCCAAAIIIIAAAgjkioB+70mwNVdGg34ggAACqxcg2Lp6O96ZYwL68lUnKNG9uqcva8PlPz3c8NZbb9lrr71mr776qh09ejRUFNM80Ze20WMtQ5Pu9UV+g39xv3v3bjt48KA98cQTIQTa1dUVToS0HFU9/Zd/+Zd3LScsYIl/tNw//uM/tmeeeSaEFKJ2l3hbCIb8zd/8jf3+7/9+qDCV2f+l3hu9HrWlk7m/+qu/sp/92Z+95ypf0bK5RwABBCSgY1MUJNOxeDXHqryRVKjVq7WmZgYsNXXZUn3f8Yqtb3g50+nw/JqsR6zYi7JWmFVt80DrfrPqHRar3OrVW6s9uaVw4soSpD6cNjSesv8+lrCjvQm7PJi0SS8YvtJgqyz0MasAa2N1zFoa4vaDe4ps/5a4VZWqSmB2tYY8XPg/z383BFsH50OY2m71xywKLj568ECogKjLvi/ncuFR77XNK9A2MDAYwqWqwhmFI6N5VnqvCooKtCpYpmqhuiR9qf+sfUuBSJ3vHD58xE6cPB0CpqpKOTM74+dCt8Osd9sPo3MDhSLVjirWqlKqgntdW7eEgKtMovky+6/qogpEHjt23EO1F/wy51c9ZDoeKuFHxwHNn9n+QsvRPHpefVCVSFXBVLi209vfsWO7j8mGUEnyzveqjZGRUQ+KXvQKqhdCIFOVWmWgsdDrmjLb1893Lkc/K8Cs8Z/0yqUK/oX+awfwSX149JEDIeC5sWnDioOtal8hYwVvFRhV5c1rHkZWQFDBYPVVU2Y/7+yjXtdz6YqaZWGMVEF2966dftsRgpUKPa9mUvhTQU+FFk+eOm097qnLzmvbr6+rt12+fAVbt3VtDWOzmjbu13tWEmyVp67WMDg4HCozKxSqcKv2eVUc1Zhom1PVYoU0FazWfwNo0vhr+9Y+pmq20fYk43Ql0yYPF7d5uHhbqParsGvmmE16JdjrfQP+3yFH7IXvvhSOA6r4+tCe3WHM9D7tz0tN6ofafsf3sWPHTtgpr6bbPzAQ3qb9Un14/LFH7cB79t9qX+ut7UqBfe2bR44cDe8Z8X1jbi5duVhhVo2vwrY6nqTX27dTb0thce0DMtLzCtXLSJMsFFiXHcHWQMI/CCCAAAIIIIAAAggggAACCCCAAAIIIJBDAvo9LcHWHBoQuoIAAgisUoBg6yrheFtuCugLXJ2k6Mvf69evexW279lxfZH79pFb1Vkzv2zWWkTv0WO9pp8V6FCQVZVZOzs77Yd+6Ifs0UcfDa9rHt305fLXv/51+53f+R3/4r/nXSEELetuk748f/jhh+0b3/hGqIh2Z58We6/6pkv8Koj6wgsvhC/a9dxKp2g91Y9f/uVftmeffda/jG9Z6WKYHwEEEFhUQMemEAibD+Os5li16MJz7YWkly5NTllq/JSlxt621OgRS02c9Q8YhelWfoxOV1P1hGdMNwVQ/RaW5aG3lG63K05+P4XPG/dQa7FXZa3osFj1TrOavV6p1Y/xZQpclaSX+/1vvOsz+qgZmUjZi6c8WOUVWy95sHViykNTc94df22la6m1qiqPWV2V2YHOInuoI25dm+JWV6lXsjcNDg7Zt7/z3yHYqs/XcPl3r86oQOUmv9T4Qa/OqSCfKmFGga7l9C4Kep738OI1Px8ZHh4JQbEVQ2U0poqiCtM1eYhNQVsFThWsUxjxel9fqPp5zC8PrjYVqp310JnCtPqsVwiyxqtCKqyqipKlHlDT8wq9KfCn6o0KxqaDaukKjlpfhd1aWjZZR1tbqC7Z4SFThfKi0J+6p2qWfd6+wpDHvZJk76VLpkq4CsVFgUH98kh9VQCuyqvBKjhYVFTs51JzoQ+qmKk+qN96j44XakMVWhsbG71ibIs99NBDHnJtC5ddL/HX1H9Nml+h1iteqVWVanu9+qmqtiqMp3HQpGWp2mw6LFsdHPWcjlFa5xCC9fYV1tM5kqzlqnO9zGNXFGzt6uy0lQZbtRxd8l0h56NHj5kqZ15TVV0PGSo8GLWTNko7aay0rkl/r9YzjJOHdW9O3gzrplCixkPVhbu3b/Mx2h6qh8psNZPaUJVdGZ70gPTF3kuhymeNbzdNHuTVZeZ37Oi2Zt8ftG2s5bTcYKsOUNoOFObUNqow8ZkzZ+cD55NhO9K6aP3qPWCqddV/B2ib1RTZa9wU3tZxYti3N20bmmq8Smtz86ZQeVX75ObNHVbm+6mWoSkdbO23w2+9bc+/8KJvc4kQnE4HW3dZd/cKg63vHA/h1oWCrU88rmCrV+f2bVjbk8KpI37sUfXm435sOHb8ZNj+tB1qG9fxQMeT2traUG22uNiDrWG90xWnVW36hgfUtY3euHHDjxE3g0cUso3uVeFZlY5/9IM/cqti7HL/2yYg8Q8CCCCAAAIIIIAAAggggAACCCCAAAIIIHCfBfQ7SoKt9xmVxSGAAAJrIECwdQ3QafLeBPRFbeaXpdHPuteXzYcPH7azZ896VaIjITh6/vz5W18+a56FJi1PX0Dv2LEjVGfdtm2bffCDH7Qf/MEfDEGWzPaixwrO/vmf/7l9/vOfD2GDhZa72HMKi/zar/2a/cVf/EWYJVrmYvNHz+sL5Oeff95+8Rd/0b+cvxyeXmydovcsdK/2Ird2v4TtV7/6VXvyyafCl9wLzc9zCCCAwEoFdIzRMSsKvqzmWLXSNtdmfv9cSUx5um7MUkPfs+TAf1tqus9sdnSV3VEwVeHTUs+1emU8hVtDsFXhWa+wpyqwCtIulpDUJbRVqbVis8XqD3p6dJfFqrr8OU+QankrrNQarYQ+Pkdvpuy1cwk7cTlpFz3YOnbTQ1vqjgcbEwt/vEZvX/Dec1VW5qu6ZUPcdrbF7f27iqy9UZcAX3D2B/KkKqr+x7e+HQKZYx7cikKVusR7s1+OXtUPFRhs8pCrwmrLmbStKyw5ODRkb799LFQQVXXIWQ+R3sukX8Ao6NnilzxXBdOH9+8LlR4VTj3ugbW3jrwdqmuqiqP6EO1zIaDqAcktWzo89NhuG7wKq8KlCrYpzKoqlpevXPXw27UQ3FMQL3qv2lToTeG3/fv2egjPQ75uEYUaNZ/Cswpqqg+q8KlgpKpbat/XpDBuCMh6+E99103hQVWJVJBVVVUVOFT7/T4eobrtfKBU5yvqv/r88MP7fCwU3Gy1Sg8iKpiqScFchRXPnj0fLs+uZSiEF7WvddD8Db4MXS5+i4dzFVyu8EBoOoA85mN0MQQ4+/oHwthF7w0NZPyz2mDrRjdTQFIhwSHfLl559TUPJ564FSaWo4K66quCxOpna0trqMaqvmu7vOnjooCiQrsKMo+OjvrzifAeGbd5+LfTg5UHDrzHujq9OvMqdiS109ffHwKtJ096SLn3cqgoq/1B4/b4o4+EgHO1hzmj4GYGT1YfLjfYqrGc8G2sz/dBBZ/PnjsfthftN3JXuFPB1L17dluL32vdFO5UaDg6XCrEqu1SFZ4v9vb6+3tu7StFRfEQLN7q++T2bV2hqq/2GQWUNa1VsFXrrQCrwsnaP7WP9PpjPR/3ktk6BrR7ldc9u3aGUG+tB9+1/YX19n6nfL6Eh3AVyr/uVYUv9PSG/XTCHXR8i7avYEiwNYw1/yCAAAIIIIAAAggggAACCCCAAAIIIIBA7gjod5j6naduUaGM3OkdPUEAAQQQWK5AzL+MWkUUYbmLZz4E7q/AQpurQhmqmPrWW2/Za6+9Fqq0Ktiqy4vqy9s735P5Raweq1Lp3r17Q4XWp556KlRS7ejwaksepFjsJEfLfPnll+23f/u37dChQ2El72xnsTVXm3VeWetrX/uaPf300+GL4ahPd74nWqZe12PdPvnJT9pf/uVfhsvWRs/d+b6lfo6Wp3vdPvvZz9onPvGJNb+s7FL95nUEEMgfAR2fdAzW7c6qh/mzFkv11E+hVD11btxSM/2WGvyuJfu/7T974lMB1OVOIUDlgaKSerOSBs+0Nvm9V1yNe5AyqtrqASNLeTBy7oa3NWypSf/jBg/ThgquUcg15pVaFWBVkLV6h5cS3OOVWtt8eRvmw7LpIOByu3XnfJMzKTvfl7JrI0kbHE95xdZ0sPX6aNL6x1J201+PKrje+d6FfvZslQfIzJpqYra9JW5P7y8OVVuLlSfLUrhVwdZvffu/PNh6MgTVFHTUtqtLg4dgq1dsVbBVwcSVBFtVrXTAA6aH/fLjZzxwqdDm/Qi2qtKpzlu2dXX6ecvDHtisDJeOf8erOOoy46N+SXsFz7QOCh5WVJR7ZdGmEErU5eo3eVi3tiZdtTXugTxVNVUIVJVrZaFgp/o94D+riqgmBVCrq6q9ImVnuNy6Lnff2ODbqQ+S5lGV09ffOByqSPb7+2949VUFJHUOpT6oEuamjRtDIFWmjQ31Ieiq1xSQU7hVYdioff3hkAKc0VhoOQobbvHQ5k6vFvrQ3j0hSKh+qR0FY495SPT0mTN24eJFD3zeCP3SL6sU+Kyvrw/VVRX8VKXRpg0bQpXT0lJ/v1eMVWDx+vX+EOhUKFZVVNWHRCJ9/AoI8/+sNti6wQ3mfNu64MHf02fOhsvI6w+UFK7UMVJTowdvFR7VOCloucGrrtZU14Qws46hCinKV6FWBRTVzyFVAnYDrWuDr+emTV5l+OB7QpXhWg/vav1XMs3OKtjaZxcvXrITHmy9dOlKaK/Bx6y9rdWefOLxUBVWlWTV5lpOywm2ahvVdqRQq9bp1KnTHuK+4gHqAQ9Gl4QKvls2bw7Vj7ds3eyGdb6fp8//9V5Nfvbt/3i1Xd+n9d8cqgyssKjC2AoBax+Qs7ZzVfLdtbPbQ8kt4We9fy2Crdr/td4KUmt7e+31N8M4qrKxxk0VVhXE7ezUbavVeahV4XP/r4KwX4e1DqvtoWCv0jriIeoeD7b2XOwNxzItR9ud2tFExdbAwD8IIIAAAggggAACCCCAAAIIIIAAAgggkEMC+h2vfh+q22KZjxzqLl1BAAEEEFhEgGDrIjA8nVsC+uJUJx/RF6j6MlWVql5+6WX77//5bzt9+rRXCjtuFy5cWFZ1Vq2dlqeKSgp0/tRP/VSo1KrAafRFdnS/kIS+LP6nf/on+/Vf//VbAdOF5st8Luq/Tpze//7327/+67+GIOlSJ1KZ697rVaI+/vGPh/CuDDRFJpltLfU46ku0jqpO+7d/+7fW2toa3ho9v9RyeB0BBBBYTEDHpoIItqp66mw6aJoafMGDrd/xA7OCaunAz2I+t5/38JQqqXqV1ZiqrFZ6pUW/t9KN82HU+fCYlpny4/7siKWmrlpq9Eg63JoYn2/PP9eKa7wE6qZ0pdaa3WFZVuyfa0Xl3lw6pHW73ZU/8uKQNjqpQGvKJme8UqYHWSd99c9cTdq5vqQNeLj1hr8+6/N5EddlTQq3VpfHrHNTzH78QLHtaI1bRWnM9Hw2Jv0RzLe/8z+hYqvCW/p813ar6oUKsx706pc75quU6g9eljNp21cIrt9Dbwp8Klimiqha9vIn/THLu+dWZUiFQfVZvb2r0x595ECoWqrLxr9z7Lgd9XCrzg0UgtTneFVVZQi1KsC2zUOpCnQq/KhAqJaj8w/1SeHWcQ+jKhSr0J5Ck6ruGIXXNJ/mV+hym7f75OOPWquHHIv8eVW5VSj20KE37B2/1LmWo6CfDBSUUyB16xYPz3kfVGk1HSqt9CBg+lLvqjiqPiiAp/M6BUvP+x8rnThxMjyn4Ksmta9w5c4d20O4UgFVVZxUqFZVNBXqVbD18tWrISirMVT7qsza0dFmmzvaQ3ixMYRF09VGVfFVVgqXKtw77FX/taxTp8/4JduPhzFU0DPzPGs1wdanPAyqMK+q2L7ll6M/9NobYT21vlq2fqmm9ZORQsNy3uhBYIUFNVZ6XeMq10Hvn7YrBWRVTfWKb1eq5KrxVohZ57UP73/Iz2l3Wkdbe/APgMv8R2PR58HZnijYqvCmh0IVuu3w6p7vferJMAbR9rPMxT6Q2ZYTbFXDk17R98KFHjtz5pxvV6fCH74pbBoqEfs+/vC+h0JgW1WJVcVX3gsdfsK24j4KYKuC6alTp73Sb49vN+mQpyq0Kny9y8dQ+2eHb3Mal7UItqqvald9fccrKb/y6qEQ3Nd2VOn9VNVlVUDW/qwQtfaVEt8fFpq0D+oYoePMRQ+2nvY/HlTVYAVetTytI8HWheR4DgEEEEAAAQQQQAABBBBAAAEEEEAAAQTWUkC/u9Tve3VbKo+xlv2kbQQQQACBuwsQbL27D6/mgIC+9I9CBfpyVRVSv/3tb/slZ8/6pTWP+pfUJ8KX/To5iape6bGm6H2Zq6HX9LzuP/zhD9uzzz5r+/btC7Poucz3Ro8z36/HCtDqfX/rYVC1uVA7d75Hy9J8ClJ84QtfCKHYO+e5289671//9V/bpz71Kf9C2UNN/vO9TFF/dK9qZs8995z90A/9UOjfvSyX9yKAAAIS0DFKx0fdFLK512NWTqqmlOD0EN/UNUtNnLXU8KuWGvqe1n553Q2VWkvSFVVVWbW622JV29PhVFVsVbVW8/KlYVKw1W+JCUtN+6Xmb5y01LjfbpzwPnjpVH1+Ve8Kt1CptXJLugJsqPq6cGBpfsHLvtPHjkKrcwldfj79WD9fGkzaxYGknb2WtCvDKRuZSFduXU641bttVWUx62iM2Y/sK7JdbXFrrI6HSq7L7tg9zKgg4/PffSkEKRWq1HmGtlcFvTZsaPDw6EGvwJgOG5avNNjqVSHfePMtD9SdDYFRhQaXM6X3lfS5TzIDMR1s9UvOe0VPBdLe8579XgV0zo6fPOnnROdDeE+Xu9ekX9Rs8vCn+q7A5ObNHeHS6FFQUp/9ukX7qAKc09NTftn5/hBsVbXOa161dHR0LOy7Wp7++EcB0fe994lQ7VEBOQXczp0770HQk3bew7AKbyrspknB4I729tDXraEaZn0IWka/RIrOQ9QHta8A4tjYjXCp92MeklVoUxVKNemXTuq71vu9Tz4RLqGusOU1DxiqcqYCi7pEvMZzZt5Zryu0p2CywrWqZqrwoc7DtLx3te99nvL2Ve1W1V/f9HFTsFfVZ9W/6Pi1mmDrk48/FioAq7Lsq6++Zt996Xs25aFDVWDVpPCvKumqMvBuvyx8Q0NdCOQqaBj1Ue9V8Pa6h0wVqlTYVFVHFVxU4FWTwsIVXkm1q6vT1E8FNjd4mHklU6jYGoKtvXby5Gm75FVl1aYs29sUbH0iVM1VW2v9i8DlBFu1LSpsffp0ukruKf9DOIWoNZ6qsKp1eswD4tu2d5n2b20bMl9o0nu0LShMrWVov1NoXfuAfta7FN7esaM77HddXZ0h/K3xkeFhDzU//8KLvoxECJc+tGe3j/cu6+7eFraPhdrMfE5t69ik6swKsp/yddI2oGmDh3IVPH7CQ+fveXh/2AcUnL5w4WKovPv20WNh+9a8bR6M1zFh3769YT+q8QrOYZ9YZL2jdoe9OrAq1J72gLCCwgrrKzyriWBrYOAfBBBAAAEEEEAAAQQQQAABBBBAAAEEEMghAf2uV99HRN9J5FDX6AoCCCCAwAoECLauAItZsysQhQgUBFFF1pdfftmDBm/a4cOHQ5h1zCuL6QteTdG8UQAgul+sx3pdlb4+85nP2K/+6q+GL5i1DD2/1KT+fOtb3wrvu+aXFo7aXup90bJV8e2dd97x4EFXeEv0/GLvj/ql+2eeecb+4R/+IVw2d7H5l/u82o2WrceqPvsnf/InHrCoXla/ltsO8yGAQGEK6PiiQEwUitHP625SBdU5v+z7ZI+lxt5OV1EdO7r81VTotLjWK6t6CLV6p4dauz3l2ZmuvBqv8LBqFGrVIuXnt6SH4eZuWOrmZQ+1HrfUyCEPu3q4yEOwsbqDFqt9yKxys5e4bPS3+/JDOHb5XVrJnMpc+hDbkAdZ+0aTdvyyV271cOvlIa/c6lVdvRDmkhFffeqWezeb6+L25I647ekosq0b41Z2f7K4S66OwoLf+94hD6l5kNM/0ycnp8K5hYJ7CnI+9uhB2+NhwzYPjSk0uNRnthrUtq5zBYUsVcVUl/BWlc3Z+cDnUp1KOaxCpgqJqvKrgnDafYqLi/yy9GUhjNfllw/fu3e3jXug7vU3D3sAMV1ZU8tW4FDB3K1ePfKRgwc81NruFRo3hrrkeZ4AAEAASURBVPfrFziLTXN+TjXsfb7ifzxzwkONPV4VVKFRPa/11jJbmpvtqScf8wqXXbbBq5+ePXc+VCG9cPGi+/WF9dby1Y7a3+V26qtCd6ooqkqfC03auhVCVLhUQcEzZ8/ZyVOnQ5XN9LlKer0UrH3skUes05fZ1tYS2j979kK4v+5BXAVTNb/ab/eqsqqgqeqlWzzYW+PnN4u1rz7pnFJjdMrbVQVYVajs82CtxlLHMU0rDrZ6WFVhQ4VXFZR9+Xuv2gvffSksLzomKgCsy9d3b98eKodq21P/Z30HmpmdCWFrvVfB6z4PHvcN9IcgpcKUCm2q3xofBX8VNm53l66uzlBteGNTk7q97Enrr9Bsb++lEIi85AYKD6vSb6sHqrUuOz24WemVTRWGXMtpOcFWbU+yO+n7t4Kg2l4VNC0tLQ2h667OLSEgru1juUFdbafaJk56ZV8FWxXyHOgfDNuuwuTbtnXaHg+tKqissKzmzXawVSFxhcKP+/FH660KzOqHtqu9IVC7M1TeVbhXFss5rinEquC5lqX987iHyfXfYtqOCbau5Z5A2wgggAACCCCAAAIIIIAAAggggAACCCCwkIB+76nfieq23N//LrQcnkMAAQQQWFsBgq1r61/QrUdf6EdfpupnPda9vqQf8CpECrGqOuurr77ql7+8GIIh+mJV80TvF2L0vuWAal7d9uzZY5///Oftx37sx+76hW7UTtSGKiB96Utfsj/4gz+41Ydonru1H7X7kY98xL761a9aWalf0njpHG1YpJZ/5MiRED597bXXgs/d2lrpa+pbd3e3Pf/886FqGCd3KxVkfgQQuFNAx611H2xNzlpqbsxs/JQlh1/x+9MeOO25k2Lxn4urLVax2WI1uz2Qut+swi9dXbopHUZ9V6g1cxEesEv65dETHuBTW6OHPZHnFRvjXmmw5qF0xdfiKv9ZoVYFY5f5QZPZxAoe+zDbnHdpYjplZzzUevpq0k5eSXrQNWWjN/VZvfTCSj0f11AVs93tcdu3pcgOdsat0qu4ZmNSRdLXXn8zhPh6L10K1RgVXNPnoCoZqmLrnt27PBjZHkKD+gXIcqZ0pcgJr2p4JVTVVCAs+mOcpd4/N+fnQEODfsn0IQ/HDoUgniq3KvAYBVZVcXH7tq4Qdnzpe6+EEJuCjpoU3lQQUZVKn3jiMWv2sJ3+aMU/6u96vqP9VedYCuSeO9/jgbgzHl47GdrXchWAUxDugFeEVMBTVWBV3fTFl14O/ZCl1lFG6qfaP+CXO2/3UKsCfzLV+cZik9qX24ifZylM+cYbh8PY6Fiim96qgO6e3bt92dtClU1Vr1QI95KP3ZBXlFR4r6Sk2EOeXrm0szMEcBXEbPHKrcXFqjK6ePtRO1c8WKtLzGvZ586df1cV2pUHW7vs8cce8VB0RTivfeXQax5uPXTr/FEWClVqnDSmCo+GyrF+mfcRD11ru1FYV+FMjcugbw96rPVMJOb8lrS4wyhkWt9QHyp3qqKvAsA7fL3rPZy9kkn+CkT29l62E6dOhfurHviura0J54ePHHg4LLfR21LIei2n5QRbFfzVfqQKxGc9jNlzsTfY11TXhEqpO/zcd1vX1lBdeLnrEm0nWtaFHt9PTp0J1Uu1/ctbQXIdM7St1NbUhPayGWx9eP++8AdwV65cC6F3BVFV5Vf7po4N73vqSa/qus9aWppD4Fr76932y8hF71couPfSFf+DwzNh2bLV8wRbIyXuEUAAAQQQQAABBBBAAAEEEEAAAQQQQCBXBPR7z/+fvTOBr6o69/abOZAEkjBDgIR5HsW5Wqc61La3agdrq7W3attbezu3atVqtd729t723v7s5KXa4dev1VrneaqCiCAyzxCGMCSEEAiBzMn3Pu/JCoeQ4QQCBHiX7pxz9l7jf6299+Ls5/wX33+yOfvQVXrF6+EKuAKuQMcVcLC145p5ik5QIAIoHHAMJUsejLIVFBTIX//fX+WVV1/RB7FF5qAWHIGIxyQkPFTmc0dC9IPbG264Qe688051VhrWbhahvkRcrUuPfu1rX5NXX321CUzgeHuBsoEA5s6dK5MmTbLo0fVpKz2gwR133CEPPfSQgQ6xlNdWfuFYdPkAK48//riBvrE+5A75+Ksr4Aq4As0V4Dp18oOt1dJQvUvdWpdLQ8mbCppuFqmOLA3dXI9DPit0GpfcS2HUcRGX1R4TJC4pS205Mw6JeugOveeoW2xDdalIhZaJoydga+oAzVMdGnFpPYpOrYfWR5utBupFpQ2Sv6NeFm+qk83F9VKkcKtyd+0GNSKVNAVZc3rFyeTcBDl/bIJkdGsdQGw3ww5EAHxbrnAm4Bvui8ChQIPcH3GlHD9unLlpDsvLteXCuY9H3ztbK4qxX61LzZdpfvsVTAQIw4m1vUCM6uoqc3ndpPOhLQoY7tu/T8+lBoNFgW0BWgMEyXLgb741W1gmnDIIuEQOVLfS0aNGmmMry8jjltpe4JxlvrF3716F17bKipWr9QdGS2S/wq7MzwyYVaBxrC6fPkodRoFLlyxdLq//800FMCPtJA80ytJ4AKWTFbIDaqUO7YVwzWCpd+DWd+fNl9lvz22aH5IeYDfiBDvSHGtZYn2VOkduUx1IQx5AtT179jDHTODCoUOGSG9dqj2WfqOMiDvqTi3/PQN3AUsZE4SOgq04285QOJo5VqHOaYGo57/3vuUV/uQohIozMG64mZk9BUCStvADL+qCHtRh3759UqHvcfIFZKU/6Gv0TklR6Fjb2Ee1BmQGAO6tbq2x9HuoB6/0PwDtFoUXV61Zaz8qA87GCTY7K0vPh7GmQc6gQbryQffopMf8fSxgKz9Gw4F2tcLP+Rs2mLMx2vXu1cvagntp797ZTasVdKQR9CfnCfA3rswlJSWqU5rpP2b0KNMJN95E/dL0WIOt5eX7rG6cQxvVeXm3Xh/q9dxgHF50wfkybdoUg3Bx+Y31C13OLc6D7YVFCraul/kL3jdt2Zem44PxdsnFF8ikifoDC71+xnq+dURzj+sKuAKugCvgCrgCroAr4Aq4Aq6AK+AKuAKugCvgCrgCrkCsCvAdpYOtsarl8VwBV8AV6LoKONjadfvmpK4ZD0cJ4RVXqieffFKeffZZ2bhxY8R5S12pAEOi44WHpLyGtOHVIrbzh3RsffSB/7333iuf//zn7SFvO8maDuOi9fzzz1s6YBhCrOVT7siRI2XZsmUd+mUQ+bOE8Re+8AV56aWXDDpoqlAnvQm6XHjhhfLEE08orJDmD6Q7SVvPxhU4VRXg2nVyg616H6tXWLFqpzTsXij1xS+LVO7QX2nsi6HLFdqMUxC120CJyzpdwVaFWjNGq8uqwoe6P7ag5TcoTVpfrdH1nkh+BrTi0nrsA8xmhValYGe9vJdfJ2vUtXWTwq1qPiqRO37rdcJEU81I1bU1XqbmxcuV09R9Uh1cj0XAoXSjQmmr1Z1y8ZJl9uORqio0FQMGAVqBE0epsyOQGs6V3DNjDWGOEF7bS0e8iopKAyoB5lYrXLgnLPednq6AaKaMUbA0d+hghTd7ygZ1Vn3tjX+asyfwKQHIbIRCp4CtgHvEA3yMNQDiAq8tX7FS4c4Fttw98BpAYI8ePWyp9TGNeS9SN/mXX3ldKrXOVQryUv8MrecABWtHqWMr5QO1olssgfQAwcCc78ydJ/98a7YBu5RPAKbsq/0wTl33p6h7KHAj0OJ2dVktUyCX9ECtzPNGG3w73NxaqXesIZT/xpuzzDV2r8732EfoMNiqEDKuv0lKb2/ZulUWKijMFh369e1rS9f37JlhoGpwZi1WsBXIlfFA39I2xh5fxOHA21M1RVvcR4GwcdNFm14KuGaoU2h7DrnRdQjvKYc5OW6fq9SJdKM6125WwBq3YPIcMXyYnQujR4+wcRXSHY/XWMBWHI+LdCwD6XKuMK6BfXG1nTZ1ikKYE+zcYGx3NNBPwK1LdQxuaHRFBTYGAMateOTIEeacCzx6rMFWgPrN6ij79jtz7RXQlYCT8eWXXqwg9TQbM7S7I9czwGfclHG/BWwtLNxhDsMOtnZ09Hh8V8AVcAVcAVfAFXAFXAFXwBVwBVwBV8AVcAVcAVfAFTjaCoTv092x9Wgr7fm7Aq6AK3B0FXCw9ejq67k3U4CH8mwEnMVmz54tL7zwgsyaNctcoXBmBV4IQGt08vBAn308rOdhbAANQp7R8Vt7zyTmoosukvvuu0/OOOOM1qK1uB8H2XvuuUd++9vfNrUj1rKpM66rP/zhD2N2R4IGqm+oN5j29ttvNyg21vJabEALO8MDbeoHKLFgwQJzsQ37W0jiu1wBV8AVaFcBrlUnPdhaV6lg6w4FW9+XhqIX1EG1xGDXdsVRt1Yg1rjuQyQ+60yRHuramjZc9yndKR0BU/XHH3qPAGwV8rQQO3TZmKBTXri1A7FuU9dWwNZVW+tkfaG6lsLetuPaCiealCDm0jptWIL8y4xEhVyPTTuYcwCo4daKQ+cO/SEJzpiM34SERAUkeymclmNLi+cMGmjLsUe+BDk69aM+uMYCla5SYHOdAmT8kIb64ObZR10RJ04YL0MVbMWpE+fEALaGuRPLgo8eM1LGjBplcCtQKU6NsQZgX4A9nGznzV9g0CzzLeZdLK2emzvUoNHx48eao+vLryrYWlnVNCcDpMVVFQgUAJbP6elpsRav+dQYLDf33Xny5qy3DXINbrTd1Y0VmBPnUFwn0cnAVgUWcZpFJ9xiWWYdsBfAsI8Cn8xvYg01NbVWPk60OKzSH2G+eXhg6xSDUQsUEF20ZJksXrz0oKpQt379+ircnWSQIQ65FQoX8xoBeuPMnRU4OSU5RVIVzGQs9FId+ioU20PTAyziqpqW1k3fdzMQ9XDmcYwhxhtL16/RscX4Y0tIiLf8hwzOUWh6uEydPMkA2oMacow/xAK2luwsUZi10MbIhk2bFHLdId0Vjh6k4DXAMWBrUlKi9U9Hq1+qADA64Rqcn7/BgE/cWXsoWG1gq+qUmztEGLPHHmzday6ys+e8oythbNFr2n4bW9TlsksvkRmnTbUxwzndkQDYSpvXa3s5NwCFuV442NoRFT2uK+AKuAKugCvgCrgCroAr4Aq4Aq6AK+AKuAKugCvgChwLBfiO3B1bj4XSXoYr4Aq4AkdXAQdbj66+p0zugATNH6CzLzrwmQeiW7ZskVdeeUUeeughc2fFBRVggWPkEZ2ueZ7Z2dkyadIkufbaa+VPf/qTzJ07t2l52OiyWntPfmxf+cpX5M477zRHr+ZltJaWeq1RR7err75andRWHFTP5mnIM7Qj5I9b2MKFCyUvL8+iczwca54+fCYO2nz729+WRx55xGCbcKy915bybl4nYFZgl9zcXPnIRz4in/vc52TMmDE2yWspfXtl+nFXwBVwBYICXG9OarBV2yd1FQq2FinY+p40FD4vUlOq1/7aIEHrr+qsGpeooF33PInPPluJzjEKuQ5VOFXpzhM4IEnRngZZoGDr8i0R11ZlFKU2BrBVuTlJS42T6XkJctUZiZKdfnTA0ebyMkYBKfPVcREIbOvWbVJaWtr4A5s4c3cEOhyn98a8vFwB7AMw7CgQ1rzc1j6XK1RbqsuGr1i5yqDVTZs3G5RGfJw4+/fvL1PVqTRXwVHOMeDXQ8BWhUhxSh09eqS5puK02XGwdYfVYf5775trKHMR2pyRka5usUNklEKjExQuXbQ44tjK8WqFcgmApTjdBtdKnEWBLmMNwJyAsiyj/tast2WfQp7MFRlf3RTgzMzMlAkK1U6fPlXnYwq2qrMo8CIAKpoAvuLIOZrl4BUuBADFiT7WwHyU9rz2xpsy/72FUq7ALG60hMMFW5lv4XyKK/AS3aIDX6zRP9Q9OLNaY3UumaSad1MYEd2ZRwII8z5LXUF79+ply94DxuIUShma5IgCdUDrnQqErl2Xr/PetbJy9RqrG66t/fv1UwfjYXLm6acZjEuZxyvEArbuVNdb3GdxPt4I2FpUbK6/gwYOVNfSqTJ50gQb14fTjt279yiwGgFbAT0LFfIEAOZ8C2BrXt5Qgz6POdhapmCrXjtmv62OrTrucEBO0L7C2RewlbYDxnf0OmZgq7Y5ArYu0jYXWt4Oth6vs8DLdQVcAVfAFXAFXAFXwBVwBVwBV8AVcAVcAVfAFXAFXIHWFIB1cLC1NXV8vyvgCrgCJ44CDraeOH3V5WvKw3ACr7zlIXGDOskxaWB77bXX5IfqVrps2TJzvuLBOSE4jNkH/ROASvIhDz4DcnzpS1+S6667zmBUoBMAU9xFSU+cUH7Ip6VX8hs8eLC5rl5//fVNZbUUt/k+HNyefPJJueGGGww8aH68rc/Uj/r++c9/tgfJbcWNPkablugyv1//+tflrbfeatQ2onN0vObvg4bsD7oEjZjAsQ8I4sorr5Tvfe97Cn+Mts84fkWnbZ6vf3YFXAFXIFYFuM6cGmBroTSUKthaFMDWyHLwbeoE2JqkS6N3H6Zg61ki6aPNvfWEB1u10TsUbH1fwdYVCrau3lYvlYCt7Uiit0iFrhRsTYkTHFuvPoZgaxinW7dulwX64xOWK9+6bZv+aKbW7vXcM7MUpARQG6bLyo8YNkwBwwyD4zrzfhnqwfLz27dHHCY3btosO3YUS6VClpTFMvOD1DV2ujqVDlGwtUaB3BUrVwvOomUKsgGdEdLUkXLkyBHmljp2zChzTO0I2LpfQVKcGFfg2PregibHUiDLDG17Xl6ujNb8cU01sDXKsZV2oE/OoEEyCsdWhUuBMIExYwmkB5CtUBAPx1bA1ooK/QFUI1gaAeh6ybhxY2TalMkC3AjcGw224mbar2+fRsfWEepq2ifm8qkj7qy4UL7xz1my4P1FslcdTI/IsXX6FMHJs2DLVnW4XWqaRWtB34b5LvsjzqzJkqwANUBwzx7qzqpQc291ngUSBpwEdu2mzq2AvsCJ0emj8+7oe/QHrgXa3LBxkzmdLtMfcwEa6+RRoeFscws+fcZ062PGGmUfjxAL2Lpr1y4DThkjG7U9jGt0A3yeNnWKOraOPyzAk/YCoONsvEwdW9crGI+TKecI4DVjHwgaEJ65dWeBrZzjOCnjVIxbM9cLAuMDR2n6BRda3Is3bd4ib7+jYOvmAnXh3WfXEMbNZR+6yMBW3vNvgY4EA1u1nevycWx937Tl/HSwtSMqelxXwBVwBVwBV8AVcAVcAVfAFXAFXAFXwBVwBVwBV8AVOBYK8N27g63HQmkvwxVwBVyBo6uAg61HV9+TPncegEeH6M+8B8qcOXOmvPTSS+qCttUcsIgfYFQmFM3B1vCAHBDiiiuuEADUqVOnGpgRjj344IPyH//xHwp/bLfio8uNrk/z90xecHu97777FAoZ0iGIE6dZwNrZs2cfUufm5fCZthGoG++BWq+55poOuaaR9ve//73cf//95m4bazsplzJD2eEz7Z8xY4bceOONcvHFFxswjGNTOG5v/I8r4Aq4Ap2gANefkxpsFb3/4dhaqWArjq1FLygR1xHH1gwlEHMlPkvB1ibH1o4tC90J3dSpWdSrJEW76+X9DfUGtq7ZXi9VMYKtiY2OrdOOsWNrEGBniTpUqvPnmnXrDRhjGXhcOxnHwIXAkXlDh6oT4zBzqgQk457aGUAhZQCMAU8Co21SoDV/wwYDXHEhrdMf8FDWgP79dO6SY0BnTs4gW6oesPWfb84yEDHAlwBruKqOHjVCJk4Ybw6qwHWxBM5ZILht27bLcnWNZblxfthD/YDgetoy6yMs7zHqCIsD6auv/9NcZYFBg159FMIcpfArzqq9FcgFDo4lUD4/fCpTMO/dd99Tx8k5CrXWNEG7QLMsIz9mzGht2ziDClepo+g2hYHLysr0mtNgECuuraNGjDDnTGBgYNcwL2uvHizbXla2R2ap2yXto/1B2w47tg7Pk9N0yXu0Y876/vuL5b33Fx5SBeoGoAqAnKV17dmzp6RnpEnPjB5W92ydE2frmMOxleXkiRvag+ZsnTEWqRh5MQa26hhYu26dwsMrdXzttj7OUHfYAQP62bjKzR1qY5I6h/n5IQ07jB2Uzzhg3HOZZTodzrXo7GIBWwF0d6jD6GoFW3FlBlqnvv369jW3VsYnoHCs50d0+eYGq+MO0BQgfkdxsYHGAMij1dGYscI5S98fCrZ2k7HqAj1Wwe8RGi9T+7u9AHBsYKv2x/IVq2Xt+nXmrEu6Q8BWhbELCrbIO+/O1+tJgbou77HsmfNfctEFBscDm/M5jKP2yqdfKB84eN36fHlP3ZxpF9dJB1vbU8+PuwKugCvgCrgCroAr4Aq4Aq6AK+AKuAKugCvgCrgCrsCxVoDvPvluuaXvl491Xbw8V8AVcAVcgcNXwMHWw9fOU0YpwMNOHriyfOxmXfry9ddfl3/84x8KJbyrD8fL7aEpcdiiH6DyOTwM5yE9D5cnT54sH/3oR81NNC8vryk+6YjPw/VPf/rTVgYPWDsSgFO++c1vyh133NGhh7m0benSpXLBBRfYw2Hq0VYIdSUO7RuoS56+/fbb5hYb3f628qAMHJe+853vyB/+8AeDKtorNzo/ymXjAX5ubq5ceuml5hoLJAz0Ql6hLqG+0a/Refl7V8AVcAU6qgDXmJMfbNXl0at2KNi6QBp2KNhaVSIN9ZEly9vUK07dyOMVNOw+JOLYmjFO4tKG6w0DsPX4uB+2Wd8YDnJbrFWocFtpg7y3vk5Wba2XdYX1osanAvDaVtDbuyQlKN/bTR1bFWz9l9MTJSst8uOQttJ15jFcSouLS9T9c7XBjABxOHUyhrmXpqamKKTWX4bl5eo9dajez3MUMEy1eyzHw/20o3UK5wnwJK6ra9SFcd269QZqlup8h3kO8yMANKBWyscptX+/vgYfrly1WgHMd6REwVyWGyfg+Am4B1g6Td1dgUyZ/7RXR+rCPG73njKdy22RVZr3oiVLDTTlGIAegCUw4CgF94apiy3Q45tvzTb3yqAX9WXJ89EjR8qUKRPVHXOguu330prh4G9VbPEPZTDfAubdubNE5is49466ttIHHCP07tXLgEGgQdq3dNlyqyeOu7sV3qurq7f2p6elyfDhw2SEgsjDdS4JmEz7Y9GgpGSXOcDi1goQCeSMLoTDAVtnTJ+mwGOKgo87Zd78BepEO9/yCn9CvYBGeyrUivMmjqK0FcC1e1o3SdX+Zz4XvoQjLZoYAKptrq+vs3FCH3VGAC7epY6kuAajQYH+uAtH0uTkJOmhsG1OzkCDhhmLETA08iOpIy07jIGqqmp1Ktbrq3Z7fHycgZPhh1ihjFjA1nLGkp4bwM/r12+QzQUFdj5nZWUqWDpaHYVHG3wKsN3RAPiLLitXrbHzBXfYJvBagdWRI4abWzFjvjnYyjwc+HW0xgMQjwX8rtFrAYA1TsorFGxdn59vbaPezcFWridbtm7Tc2ih4FSLBpxbjKHzPnCOTJ0yycYX52ms1y/GGuUb8KzXKQBtzlOuUQ62dnT0eHxXwBVwBVwBV8AVcAVcAVfAFXAFXAFXwBVwBVwBV8AVONoK8N17+E6d70E9uAKugCvgCpyYCjjYemL2W5epNQ9J7eG3PsxdrTDIY489Jk8++aTCIcUGD/CAOsAIVJoJBJ+ZPPDKZKJHjx4Gfp511lly0003yfTp0w8CD6IhBNIAzX7ta1+TlStXHpR3e6KQz6RJk+Tee++Vj3zkIxY9Ou+20uNc9Zvf/Fq++93vxlxmdN4/+MEP5Pvf/745QsU6caKtL774otx1112yYMGCpuqxv61A/ukKR7Bc7Pjx481llvamKeRBoF7kEV2/kF8AeMJnf3UFXAFX4HAV4DrDNSUCXtXFfO083PKOS7p6wNad0rBnkYKtryjYqu6ttftiqIqSTgqxxqUOlLis0yQuY7xuo3VfN92SY0jf9aIoWyf7Khtkc4k6tubXydrtDbJpJ66LAHht11e5NUlRHi87PU6mKth6xVRdzvsYg601SuDiOLpenQiX6vL229WJsVihLUAu5jrcM4Hf+qj7KG6oQ9X13ZaG130pAIcKcyY0fjHS0v01WgHOjXB+UC6OhywpTpks/87S4cClzK/IC2gsU0G8Eer+CSw3OCfH5k7Aa2vXrZd57y2wtLt2lVoxgKU99IdCw4bl6pxqqgG5uIC29atk6kM7cUotVgATCHB9fmQLUCeulgCiOJDiXNtf3SjXrF1nACqwW4DcqARLsg8fPsyWRR8yZLDBg4mJrTvchvIBGslnc8EWhWZX2MYxAoDjwAEDFJadZIBvTs4gnXuusTrgSkl/oSXzIABMygUEBiAEFAWMRIPW+gcoFkgPx9zVa9cqYJxvcGAYA9Sho2ArfXb6adN1Dtbd4N+5896Tt+fMNa0PtCve6gU4zdgarO0aoPVlvAEk0xbaFOptWum1tVZhW8ZIZWW1jVPKwIUzISGxMT41PrwARAnsvW2bjkl1Ol2jzq24knIyJ2l9cBjNVQfjcePGWN8ecDBG346XSZvYGGsA2oDlwJjsYzzTf7jw8h4tCLGArRWaV2lpqaxas9bOFdpQV1drugKoDx+Wp4D0cAXF+x2kcVstiNzT6s1VmXME99LCwh3qaFuugGkv68NxY8fYOQLAynkVDbZSfkpKqp2fwNmT1FUZ/UL/tlY2fY2bMC7NgLqM013aNkI02Dp50kTru0IFkZcsXW7XtC26agbXGvSbNnWywfGA8pk9M218tVc2ZXAecM3ZqOca151ly1YI8D16AJL37t1bLrn4Aj3n9X6mgyCWPMnXgyvgCrgCroAr4Aq4Aq6AK+AKuAKugCvgCrgCroAr4Aq4AkdDAb6jdLD1aCjreboCroArcGwVcLD12Op9QpXGw2Ru+LwSot/zsBsnVgDWZ555Rh555BF9wLrJHnoSN6ThffMQwIp++hB5hC4TiyPpeeedZy6ixOV4awHg4Ec/+pE8+OCD5k7WWrywP9SZV1yKbrzxRvnJT35iQEiI094rbSlQh6cPfOADskWdmXiAG2ugXB5qv/LKK3LGGWcc0rZojYlLCNpRzn/+53/KT3/6U3OpDWWG46FtPOBnH45ZwKvo+olPfEI+97nPKXTS38okbsg/5OOvroAr4AocTQW4LnEdYwPsCdeuo1nmMc9b3VkbqndJQ9lSadj5hkjFFvscWz30upyiLpI9JuqmIJBukqTLUSfwI4TDIMNiK/SoxGKaUFMnUrynXjbsqJdFm+plY3G9FKp7a3turVQoUTm1bmr4OCArTiYPTZCLJiqYqe6txzowRreqyyGgGsDaJgVM+WELsCSB+22A7HCszMvLNdASmBDoE5izLXCSPAjhvKiuBuLbL3vUqdVgSoXvdujS3sBq4Zwhv176Q5VBOYNk/FgcJkcZlAckCgAIBItrKUBswZatlj/3e+oJ+DldHVsB2Abo3IB5EPtbmg9QHuAaMFxBgbpQKji3TWFVYFnqSxrAyUHqQP+Bc88yYJQf0VDmKnWsXL1mnblhkke95kV84N+xWuc8dXbNGTRIUnG4VUfRlsqnDKBG3FrJExfMjTqv3BLVpoSEeNP83LPPMrgXmI84tH2tOkhu277d0jNXpAyWgcdZF2fOoQq5AoqiQQAjTazGP/Q95VdUVCoMuEydVd/Ttu820Je6hetXx8HWYXLG6dNt3slYemfuPHlr1ttWFvUk0MfoQj3pr37qxkvb6CvqGq0X9WCr1roydnaXqrOwwsjlChwCFuLka2NR8wMEPtxQrycuYwK4lD7AmRc348rKKh0PEedPIOe83FwDOAFEgTVxjO1ouaFNlEebdqpjLmMgP3+jjb2U1GSZqD/Uyssd0jj2I2M4FrCVcxcn5NVr1hoAvV5h5X1aBrqiMxDxaQp/A0BH6t7+r/YBRBnny/S84zzhfIm4K9cZkAwoC9g6Yvgw61vqwHm9aPFSeVP7nn6nLM4lHIVPP22a1SW6n5v3GxrhiEx/49IMUM75uaeszKI2B1sps0R/dIgD9BptO+cn+xhrtJVyqWMYL83H2SHl6w7+3VeqLr7r1qmrNNdIhd8ZdwQHW00G/+MKuAKugCvgCrgCroAr4Aq4Aq6AK+AKuAKugCvgCrgCXUgBvnPlO1G2lp4LdKGqelVcAVfAFXAF2lDAwdY2xPFDEQUC0IBTEA/Pi4qK5N1335V//OMfsmjRIoNbiUMIr5GULf/lQf3pp58uv/3t72wpWz6Hh7nhtaWUPNTdsGGDfOlLXzLXVh6AxxrINycnR2677TZL31Y5zfMEdHj66aflmmuuaaondWkrROdPW3Gypfzo/dHpyY9jvFJemT6oBqYFwn388cdNV46FconLBryA422fPn3kwgsvNCfaKVOmNC59egBoaK3c6Dr4e1fAFXAFOlMBrlfcE9i4XofrV2eWcdzzqtflyWvLpKF8jTTsmisN+9ZJw/5NsVcrMUPiuum9IWOMAa6Cg6vCrhKXqBuA1YHreOyZHruY3Am1m6VWb8e4ta4vqlen1npZrduOPQ2yZz/3rfbrk6zNzVKH1tGD4mXikASZmhsv3VOOT9uB4FhSfLWCY4BbO/QHPOzj3sxY5n6anp4mPfXeyw9J+vXrYy6u2VlZkqmuqLiCAinSdxr1oBDu4wCtFZUVBk4CDuKQyjLvhYVFCt3tM7iShMBvuLXi3pmXpzCaun/i6BnmTcB1LG/PUuO4OK5YuarpnONLGuoD2AnIBnjIMukAaBwLX+JYnbSs/eoESTtZqh2glyXocboE9KTN1AWHWso/8/QZthQ9kCjwHE6z7y9cbPAgsC1aEXD1BH4cNixX0w2VPpo+Q+sAAByn4xt9ojUBnAOspey1qj95UycCbca9FKfYs886w1xoac8uBe2Yly5fsdIcRdEDgI++4jgun7Qf99YcBQnZR71pE5uN4UaIc/eePdqW7QpwrrXl3vergy95RV+7Ogy2an3PnHGazssytc+rZMmSpfLegoXm0LtHXXnJm77A7Xeoajt2zCjts4jDbTcFgdGdeobAtRQ3VdLibIsTJ7AjdaV/cDYdNGigLTMfnF5D2o68hn4BxgW0BmZcqzAjfY2bKgHQOUvHPdBwnta9v7mqZjcC3vRvBMql+tFtIG3In1drk44ZwM0Sg1q3GWAOuKlXEHNExqmYMZyrcCvzXvKLBWwFsgZk5VxmTOHcukf7GTiV84P588TxY9VdOE8B8l76Y7TUxnPj4PM31JdxhfbUc6WCvgCeO4tLtG8rbYwCyo4eNcL+fcO5Qj3599OOHTtlsfb9W7Pf1jFVbWXgokyfn3P2mQbYBug6WivKpUxg2KKiYnMyxlV64+bNVg/yJjQHW9GU82m7XlNW6rXhvfcXmtsr+3vpOTFQzwWcVYfo9SEzM1OvWy1D79Y/Wj7puE7R/8EtFg2q9BpEfR1stW7wP66AK+AKuAKugCvgCrgCroAr4Aq4Aq6AK+AKuAKugCvQhRTgu0sHW7tQh3hVXAFXwBU4TAUcbD1M4U6FZOFhM0vz4sa6fPlymTdvnjz//PPq/rOmSYIAehA/1vCIOrx+9rOftQe74QEu6cP71vKZOXOm3HfffVafWMsjT7Zzzz3X3E8BTdsrJ5RPGUANX/7yl+WPf/yjPVwOx9p6DfnzkPrXv/61fOpTnzIgo6U0lIGG6Lxt2zZ1Pltl4PCLL76oblDLzBUqtIG4TMBwScvNzZUJEybI2WefLVdeeaWBsyH/UH747K+ugCvgChxrBcK1jesbUAyfT7rQoI6LdepYt39zxLV1zxKpL1sWezPjFVpLSFdCLC8CtqaPkLjuuWoNmqpbsuZzsFtj7Bkfm5i6cruw7a9qkNLyBlmyqU5Wb6uXgpJ62au8VXXEkLLNyoDspSbHSf/MODljZIKMzVHAr7cuJa+w6/EIjFc2nA7XrVtvkCVwK0twA8NxjACMCGgJsIjz4sCB/c0hND1N3Vsb4TicK+1+rEP/wPkAaFdhP2DZou6wW7duV6fRQoPQgNSIR5qQf2917gR+A+wbNHCAgaKUTzzOK+C1nTt3ycJFi2Xee+/bnCGApcCgqakpCnbm2ZLxffv0FgBclpJP1LkE8G19Q+T8xIkRcC1fl2ovUHd6HCZDfYAr+SENoB4ulJMnT1BItbfVkzi4Ns55Z545nQINAsOGdjBnASzN02Xfhw4dbBBwqjp7Bji3wcqvN31L1B0WB9aNGzeb7oC7IR+AYcocpdDgDHW47K1Lvnfv3s2AP350tXjJMlmtQOomBXOBMQEBcbUlXX91bs1R4HCk1p08AJOpV5z2YdAR2BBob7U6cG4u2CJbFapE39DfaE44HLD1LAWBAQ8ZP/n6Ay3AQMYX7sDkTx0ItIlxNEwBToBDHGZx/Qd6JRCtprbG+qWwUJ111dV03fr1BkgzV6UMIGiWtkdz2knfHUlgLAEvUleAZ+BpHFzRi3ozToGXBw0YIKNHjzSQurvWmfkvfUwfmNY6pkMgHe1G31ql4qurqxTMrbQfynE+rFen1h07dgigcbymow+BdYdr/+Gu2k/Lo9xYwFbSM46oOxAq9WecM0a62Y/DMuz8GKauwrk6rwZ2DYBpcJ4N9aWuNTXVdr7isLx+w0bTgrxoHSsncK6OUR0Y7wP1fCVwPrDCBWN09px3zJW2QWFqyqG/PvCBc7QOQy19cH22hPoHnegD8sCZGLdWxicgPGM8jM9osHXK5EnWN6QDFl6xYpXMmj3HIHD+rUG/ANVOtHGSZ3XIyEjTc7yb6tp4zVLdGrRs8ke/Sh1fBQVb7fzETZlzhfLRhuuVg62hx/zVFXAFXAFXwBVwBVwBV8AVcAVcAVfAFXAFXAFXwBVwBbqKAnx3yffTbHyn7MEVcAVcAVfgxFTAwdYTs9+Oaq15SMkD8vz8fHMNXbdunUGd8+fPb3qIzYNOJgPE7UggDQ9+FyxYoA+ohzflEfKKfm2eL3X6zne+I7///e8jD4VjKJv8CICgn//85+WBBx4wSCDWyQvtW6/QwDnnnKPuTCX2gDeWNlMuG2187rnndMlPhZUa6xLS85mHzgUKYeBEu3btWnn22WfljTfeaIJJojUIMCvOrwCt119/vS7xO9YmYvQHk7LmgbJCuc2P+WdXwBVwBY6mAlx/uDaxATCFa9/RLPOY561QntTrMvVVheraul4aSt+VenVuVQQttqrgyhqncGtyttKdA6Q+bYQ0dB8uDfo+LrmXQq+peg0/9NoeW+bNY2lZDdwTI/fF5kcP53NFdYOUK8AKyLq5uF427KiXbaXq1FqhS6Ur1Kpd327g1pim7qw5veLkggmJMnpgvGSnx0nicfqOIYzTXQpZFu/cqZDdBtmsUBxOokCkzEUicbSOCogBp+FcmaZOqLx2UzgM10dAUFwQgRIZDXUKxQGHAYKy4WxKfvvUKRVHSeYDnCfcs5mjkBegI26YwHI4VWboXAbQMQTqQX2AbpcrvLZo8RJzhgQI5Bh5JSTEm8MlzqVAnQBwQGgpCrxSTrUCiiz/DlS6Sx0YcUAt21tmIB31IVCXnuq+Cgg3etRIA2yBJgnEqda6L122Qn+Ys1rnNFvM4TOAj9Shh877gDT7KFjbKzvb3qMP0CXtZnl7lnJHcxxsgWP37i23awdloDPpJ4wbq2DpCANsA7RJO9ESwBNXznW64fSKtqH93bpp/dWpFUdTys/WDeAXwJd+wW0zgL0AlbjE0ifkzRYdDhdspe11SoHjglu0o1jmvjvfIEWgwaAzdQKWpt/Z6LOMDAWlVStOW66lQJTUb6eOTfpst+qGfhwjLS651BF337zcXHOoja5/R9+H6zcurcXqELtW/02wQeFnwEY0IlA/nIUZW2z9+va1umdqn6XpOOFYQkKizVPRs66u1sYtbaGfcYTF/ZPzjTbhiAqAiTa4HwMwDx8+zNo1bswYy5u+jRVsRV902rZNweW16wyaZpySR1JSosHeuC/nKVwKoAuoa+OjEQpGA+pCvYoUUAXw3Kxga4nWm30cZzziCIzz6ygdo/QdzrIEznfcdZcuXyHvzJ1nq19w3iUo9EscoPW8vFwd14P1XOlh7aVuaAVUjPbozXUIuJVzJZwfYXw2B1spl3YztumvRYuWGBBbqO7GhBS9bnE9AL4FOAf+7qvutVyzAgwNyEs/cD5x/UMzAGc+c92i3SE42BqU8FdXwBVwBVwBV8AVcAVcAVfAFXAFXAFXwBVwBVwBV8AV6CoK8D2rg61dpTe8Hq6AK+AKHL4CDrYevnYnRcrwQJTG8NC2sLBQ3Ye2mCPrU089JXPnzm0COrn58xCTNOGBa6wihPhAFNdee6089NBDB8EZ7eVDmcCw3/72t2XWrFkHPUxtKy3lsgGA3nvvvfLxj3/cPreVJvoY5f7kJz+RO+64owluiNYsOm7z95QLTPvjH/9YHxj3Pyg9y+Zu1mVEAVpfffVVefnll82dij6IDgAsPGxnWVpg1o997GMydepUW/oVLdk8uAKugCvQFRXgWsk9gw3AJtZrZ1dsS+t1UuitXgnOmlJpqNgqDSV6fyp+TQFSgJ+DgbjW89CY8SlSn9BdKlIGy/6UXKnqlit1Kf0VfMJZUsFXnFvbyqDNY5Hl1qVegciGVO0HdXBsODI7VO1a7dcGc2Xdva9B8nfUySYFW3eWRfbVKA9JnFiCGgRKRrc4ye0TJ5dNTZSRA+IlNUlbfPgNjqXYduMYFKZQ1yaFuTZtKtBtc+Py8SxjXmNOk9GZcM/nngzoCjQGjJeiwB/OqCynXquiAJkBkZKeLcypovMBKgOMDdAZy6/jVtm/X1/7AiY6Lu+pJ86JG7V+QIdr1+XL1i3bDIjjGCHUDXdZwEdgScDWhPgEhW0rZZ8Chrt3lynQutfmguF85QsfoFIgy/4D+glOkACTAJQ4S4bAuY2LJE6rq9esNfd54EuAV9pIIC/gPyBXXDGZ39DW6uqIAymwHmkqKvabtuRJvUlHGpwtZ6hbZ646YQK5kjbMgdAygHc4oW7bvt1cOdGFtpAP7UhV509Awix1rUVjID7iAO/heltWVqbOoRVNdW7pmnW4YCuwJPnh2kp5cxRwXLp0uUKCJQbmRo8FnETNDViXiE/XvqKutKGuvk72lpWbTnvK1BlXgd66Rn05jqb0La66I0ewjTCtQz8dySsANSAqLrGcC2vXrTfQFag69DFjortC0AN0zhuBmAFzMwzIpr8AOSMaRPqc/mbcAbQCNAOfAimTX3TfZ2dnGtDMuZCTM8jAbI7HBLYyT1bdmV8DFW/Uc5m645oLnMnYSVbAmXrivIwrMucb5y/nMqFegeQKPU8Ar7epky8Oy4W6AZ1SV8BeXGQBVIcNyxXcWnGZpc0EIG/aBlT7/sJF5oYMrEobKIPzgTJHaPuy6HM9T4KbMNcMoF9ccosUusZtlrZw3qBl0L452EreHGN8A1JvUHfZVepovEbrgOssQDfnFtcENB2o5xf9xlhL1rpzw6nRXyfQv6TfujVSPnUhX67/6Gp10FcHW62r/Y8r4Aq4Aq6AK+AKuAKugCvgCrgCroAr4Aq4Aq6AK+AKdCEFwvfMfBcanid0oep5VVwBV8AVcAViVMDB1hiFOhmj8TCSB548yN+kS78uXbpU5syZI++9956BrcAXBB5gcuNnI010aP45+lj0e9IScB195ZVX5LTTTrMJRNgfHbel9zxQBzD93//9X32wvOuQerSUhn3kz0Tloosukt/97ncyZMgQ29da/Oj9tA0g4txzzxXcaoMOsbSZcoEnZs6cKVdccYU94GapXB4ML1+2XB2b3pF3331XlwddYfqTJ2l4Bb7Iyso296bJkyfLmWeeaXrh/srDc+KFuLx6cAVcAVegKyrA9SwCwJzkYCsQa125NFTtlIbiN6S+6EUFfhR2ZYsx1EiCVDUkyJaGDCmo7ylFcdlSHt9T4UFdSjxRAal4hVsP93pvt+14qa8eJPU1g7Ra6g5b3z3GmrUcTZkoqaxRp8yqBtmnjq17K/VV3ysHJRyDeYol0KQE3TLT4mRYvzi5YlqSvsYrcGlcVSxZHLU4jF/mAIB2OBQCbuKYCNQHkBccPaMrQB8x52A5bxwq7b3uQ46QH3lyXvCZLYTQv4BmOIsOy8vV5egH29L0gJ2AciFOSMMreZAfDqXAcgvVmRFoD+dLAEqOEUgLaMeWqIAhdWMf0F6t1gnAjzlhiE8a5hwBlBw1aoQMVsf4Plo3vgRqXhcgQeZnK9S1NV+XkgcANIfbxh/sEB/IlzkOdYi3L5KA77T+jeXXaPnoQ5uITzmAfzhgAg0C1aJN0CLUgTozTwS6y1eAL18dKjds3Gjls4Q7IeRH+biAhvIpCydVYEHaT/khPsfYosORgK3kQ10pZ6vqE3HSXCxbFcQFfgza4/JL2yN9peNI3zPbM0Ba05IeQDZoRV/SLvoGAHjSpAkCBApsSB6dEdCIcpnL4ty6Uf/dYFrnb2iqe+hjgG6gYXRO1A3gNV5PauqpgiqMq5u1ocbgZyBN9GcMBv3p9+4K6uJWPExh0Vx97adwN9AvbSXECraiHdpyLuN0i+vp6jXrzAUVqDbox3gH7KRcygd4JVBf6lelkCnnVIU65PKekYG+QOecq4wNAFGg3uhzBN0AVLdrn69TvVYrYLpufb7ljWbkQbn0F3UAjI/TawhDD01wfOV6E/qbttAfQS8+twS2kr5B70+UvVevWUv03x9cH3An5twk0DepWjZQdHegVi07oq+C1HouAO/SZrSrraV/6u08pt6Ua2NR24crb291gL3k4gtk0sTxdr4Rx4Mr4Aq4Aq6AK+AKuAKugCvgCrgCroAr4Aq4Aq6AK+AKuALHSwG+o+S7Wjb7fvp4VcTLdQVcAVfAFTgiBRxsPSL5TpzE0Q/mec+DSBxDcWRdtmyZQa3AmyXqmESIjh8+c/Pnps+DTN4Tp3k8S9zsT3iwyev06dPlhRde0CU6sy2PZlFb/YiLLG6tf//73+1Ba6sRmx2gTMq65ZZb5O6777YHts2itPgxtA1NLr74Yn2gG1lyM7S7xURRO4l3wQUXyK9+9SsDXGfPni3Lly83kPWNN94wnZvnxcPkYcOGyVlnnSXjx4+XKVOm2IazWERngNYInEFR7CMPD66AK+AKdEUFuEZxv2ALQE5XrOeR10npoXqFnGrKpKF0njTsfEsaKgvNxbW9vAGjahvipKw+Xkrq4mV9dbLk16RIsbqrlgtun2wKhplra3u5tXy8oQFnb713V46SOt0aagZIQ11kieyWU7S3F+BJXQhrFfZSuLVKYdY6A6iMWWsv8UHHkxIUnkyOM7fW0QPj5cxRiTIgS+91B8U6vh/qdRwzByhRmA+nxi26FDfLigNxAnMCjQGYMc6bh+b36Mi9/EAsjjOvCsutp+mPf3B+ZFnwnJxB0l+XdMedlPlBW4F8OceoB46l+fkbIvXUOR0umwGAay8PjicogBgB7bo1LtHe1yBbQNseWhegv5YC7UeLgs3qcKsAMBAw0CBOrICLzDtD+5vrQn7RxwDrgPt6qrtsr15ZCraOFJxaATfT1BG0tS+g6A9cLYGQgUaLi4sNSgYaraWPVCdCa+XTdsrmR1jAxLv37DH90Db075GCrZRPWwNkCZyJ2y6OsbhjoiFlRetBmpYCOlBf3F179lDHUXX9HDpksAxXALi/uv231M6W8ol1H3ViLKHzDu3bAtN5o0HUe1Qr4OKaRifRiNIRramH/m/1oQvIJ2yhbOIAXCcnJUs3dUvN7KmAd69s/UFajq5akGOuwUDW0W3qCNhKOdSdczni7qvOszpGt+gPzjhHgEfRPVLXCISdoNoSqCvjN9IvkTjx6naMs2qmOqwO1fpRx8E5g+wzYzS6nqQjPeNph7qfLl+xSlYqAA5cWqmQLPkTTIPGL1l5z17GHoEvXntoH2frvwloB+l274k43JI+OztLcrT/T58x3ZyVWyofEBnXWPqtqGiH9SN5hXYHIJ/zgMI5X0L59F96Wrq1GbiYY7jQMhYqtd8dbLVu8j+ugCvgCrgCroAr4Aq4Aq6AK+AKuAKugCvgCrgCroAr0IUU4HtSB1u7UId4VVwBV8AVOEwFHGw9TOFOpGTh4TEPLnnIv2DBAlm7dq0sWrRIgCyBRu0BauOD1ZbaRh48PJ84caJsVBcsHmCTXywh5M0D+HvuuUe+8Y1vKJiQFktSi0PZzz//vNx1111W51jLJTGTlWnTphlgClQb/aC3vQrgznTDDTfIo48+2vQAPrSlvbS09fLLL5dzzjnHXFqpPyAxbQkPkMmDeAMGDJAZM2bICF0yljp+8IMflL4KsxCi60va8Fnf6nuL4n9cAVfAFeiSCoTrHdc84Bg+n7QBd1bg1n3rRcpWSH3pfGkoX9Nuc5UNlUoFW7fUJMk63TYo2FpQm6z7EgQX17i4iKtmvF3wD++i36D5i8Kt9RUTpa5igjRU5yjYmtVu3dqKQFey4czKVEBfDiukpcRJVnqcnDEiQSYOTZCBCrWmpx5WVkc1kbkjqlthhUJxQHDbC4sikKstD14s5epiWa2AWEfHOHMA3EeBKAcO7K+ujzkKtUYcH4HmgjtluPe31UjKZsPZEUfG/PwNBkwCeeKyiXNpiNNaPpQTlmUHqgUqHK4/uMENkuXSmQdS59YC5zmAIG6xYcn6iMNtmekGDEcdWguUT/7METMVah2mTp04tQL7Zim4BwDMvK61QD8xd2PJ+O1FRTpf3WSALT/a2ru3XJ03DwCjzfOItD3ZwNlcdffP07Jx1qT+wKaAiYTOAFvJB62oKy67aLV6zVpzuQV8xLk2lEfclgI6ASCjlTmGal/lDh1qfRYcR1tKd6T76D8cfqk7IO6ePWWyfv0GWbtunexUx9wy/cxxrvvRfd18DEcfoy3AlAC6gKIDFewGFKU9GT3SDZqkrc37vqNgK2WiO1Ax54SNUZ2bb9y4WYHoYmtT+DcG9Y2uM2lDnQHNU1NTrI6cs2y4yfbUlRo41ryeaE6+gL/lqhlurQDoBn8X7zzo/ti8XK6u5AlsjSYj9Hws07rvKik111zcpKlXW2BrqDvOq2V6HgDVrlu33lyD6T/GWmib3WqiflrAfrTHgRdwdoBenwBsK/V6wpjdqefWPtXTwdYjPbM8vSvgCrgCroAr4Aq4Aq6AK+AKuAKugCvgCrgCroAr4Ap0tgJ838r3tWxtPdvo7HI9P1fAFXAFXIHOVcDB1s7Vs8vkFh5QUqGysjJzCl26dKlBrbiQ5ufnm1NQeIBLvOg03Nz5zA0/Ly9PJkyYYNvw4cPltttuM0CW49FpyKO1QD6DBg2Sp556ylxIY508kD/1f+CBB+TBBx+0h+ixlkldWFrz4x//uMycObNp6drW6hi9nzK269KwgLylpaVN7aQd7ZVPHAJLcvKwuAwIWPMLgeO4sOLKSv6nnXaanH766QojDDFAIaQP8f3VFXAFXIETUQGuldxj2ICJ2rt2nohtbKqzLvcswK1VO9StdYs0FL8h9bsXKs1UHdnfFDHyhjsCUOtedWotrE2UTQq1rq9Jlh36flddotQpWKS+gBpLN/s/cl9plk1MHw1sVcfWuv2TDW5tqB6iVT1CsDWUrG04cHcLO9t/5TaJKWC2Qq39e8bJ2WMSZcLgBMlQqDUpYpLYfibHMAZjl417Og6HwGA4keKyact67ys350JbplzhMeDOAPdFqhlxoY0AfAmRpb/V9bC7Ojuy/HiGQmvAoziS9lCgk8/AZDhYdmROEM45IFZ+yLRDoTlcU4En9+hcyhxBbUlxXcZez0s6Lw6oUDeWQO+uTplAa0CsvdTtniXV+yngyn4AXOrSVn1C+YCDuxSuZdn3Yq2Dla9zIaA+NGJ5cyBU4uMSGa8Ad7KCcyzHnqGQL4AgYCvOtQPHhJ7lAABAAElEQVQG9DONmM/FUj55Uj7wn7VfgUXcdXHLBG5FGwDDes5ZDQnqvJmkS87TD7jj4oiZ3QjyLly42OA98qPfCaN0ufnp06YKDrIAt7t0jkgbt27dbu3ct3+ftSdRB3KWQpq0ARiWNkWHoBWAKGNomy5TX9zoBLxHl43fq26eVerKWV1TbddQO9H0vElKTDKtAAlxMEUnGzvaV3103gngyDiLdZ4dXadY34e619TUmpa45G5XN2Pm62gMXI2TJ+6otA9QlzRsXNDoR+oHqAwwCdCKy2m6tged6IPevXrZ+AO0Bqhuqe9xHl2nUC3zdEBVxlRWdqbC0CMM9qUfLV1Uw6gD5zEuvqW7Sw3GLVRQHUdmoE9cVKl/XW1d5Byhxo31pa7ozjnC1lf7v0+fPnquZNm4TdVzhHYRv6VAuQDwjBccUwsVvg7nB1pRJxuXKhP5MIYYl5SFJoylgQP663m0365BpN+rY4U2AcKzQsWIEcMkT8dmS8Fgai2fsQacX8y5odpxfnJe4rzaoL9W4D/OSa5BqXpO9qBfdJwx3vm3De3kGrdZfxgJyEy90YZzd9KkCQb6Hs3x11LbfJ8r4Aq4Aq6AK+AKuAKugCvgCrgCroAr4Aq4Aq6AK+AKuALNFeC7Wgdbm6vin10BV8AVOPEUcLD1xOuzphpHHhDbI2J7CBkOhIe2hYWFMmfOHHnzzTfVdWq1OiqtN1iTB6uthfDwtoc+WB6pS79efPHFMnXqVHs/ePBg+fvf/y633nqrPagO5beWV/R+8v3MZz4jP//5z+0hcPSxtt5TxsKFC+WOO+6Ql156qfGheFspDj42cOBA+cEPfiC33HJL04Pm1h44R6ek3D/+8Y9y8803W1ujj7X0vnmepG++D2gEd9bzzz/fnFxHjx6tbmTDzJ2NuM3jt1SO73MFXAFX4ERRgOvgKQO2Qp1pe5Ue1fWu9ccMO16Uhl1zpaFmt+6r1C7TY1GBxaX318dJUV2CrKpKkQ0KtW7WrVKdVat1Ozh2VMLDessPVdSxtRFsrTewNfuwcuqsRIkKtQKwDlCH1qF94uWsUQkyZpD+alZ5sFaYsM4q+ojyYUyzAYgBOlbrsutAkvsVCgOc3KWOlbiVAtoBb9Yq+MewAHOLU4AzSQE93BeB74DQWGodYAyHTcBR4LDwJcuRzAs476gfdQCONAhXnRVxAy3ROgKlUXfqBjwLwJadFalTv37qjqrvcQJNTUk1B1fq1JE5SqT8CAQcXEkB6HYobIs+wHgAfsQDqgVcBN7jRz8DFN4DzgTaZN6U0uiA2RFQjnxrFUyk/bQV4BIXV2BC6mEulY2wPfkDDwIN4nyK8yZgHy6tc+fOF1xBgTTRk7E5cqS660+dYvAgaWgfy8IDDQP4hTk29aVPgYIBZun3lgLjKYCWwI2AlYVaTxxEAQ7JN0C19AEQaHp6uvRVkLV372wDkIEaKYsy0PJYhcg1viEy1vQ8oJ6cC6WqNU6egMW0B5i4vh4X18iVLV5hYsYd9ebfG70V6O7dKwKH0r7kpGQbd4zLtvqdvOlLdKds6sM5xDnVTXUHwGxp3BIv6M443K/9yxjZqXBrkY5Rxgl9CpBLAL6mLkC3Ae6kztS1u4KfHIvlF/+hXOrKdWOvuj8DXRcUbDUAvUzPC8YCP4bjWgHMzRijTCBznJ0BgAFQ0bRCgWvGH/lShxR1kWWsEa+1QNxwXpTv3Wf9tG3bNjsvo91baQ9lNQHuel6QL20m1ChwDTyO9lwPiU8duKYxPlvSvbU6+X5XwBVwBVwBV8AVcAVcAVfAFXAFXAFXwBVwBVwBV8AVcAWOhgJ8T8l3l7F8f3s0yvc8XQFXwBVwBTpHAQdbO0fH45qLPSjVh8VAEzwsBWQFQC1SJ581a9bocpPrmh60U1HiE7iZ8z48fOQ1NzdXPvaxjxnMyntcRVkWlMDD9csuu0wf9M81GMF2duDPww8/LJ/61KfsQW0Hksmf//xnufPOO3U52E1NdY8lPZOUs846S/7yl7+YW2xbD8ej80MT2vqhD31I5s2bZw9so4+39j7oGI6Hz0AGV155pVx66aVWj9GjRusSt3kHPawPcUNaf3UFXAFX4ERXgGspgBnbSe/Yap2l99Z6dXWs1yXfy5brtkwa9ixWB9dtug9AKuIQWaPRKhQ0LahJVJg1SfIVaC1Sl9ZS3Wob4syttXP7vuuArcoF6pxDpHuKSFZanIweFC/j1ak1V+HWPj34gUcEAu3c9ndubozrMLZxiKyri7gwsjQ3To/AiWyAlYx9jW6BtuEOmqBAnwFxCt4BVAJvJinly1yBeQvzgbAdbs0P1E9dJxU6AzYEzjQ3ykZIk/0E5kaUC1yLgyxuscCYSQoXAh9yvKP1iZTP+U/59QaX2vLvCiKiDbBpuCaQN+UDZqZpuRkKD1I+UCL7ozWJVY9wzaEM+gH4r6KS5ecpvyICWprLcoPmn2gwJGAtMG1Geoa5peJ0u+D9RbJ61RrTD+AQLUaNGiGnTZsiQ9VlH+gwUkYE4g19Tl8zkulT+pa20Y6WQhhP5MMcnroCDAId0m985pgFzTjicppiUCjjx0BQA1ojfRXrXLeluhzOPupPH4e+pg2R8bbPxlsTdIoTaOPJwL9XqCcQKuMfiBqI0uDcKEg0jL3W6oU2BhPrOVivdSB/xiz5AFm2BfkSF4C03nTHwbXSHIXLdYzg3Ep/0y4C/cl5203ryvkRqW+aOf0CoIZ6MpbbC1Zu4z0RwJTxuFvdn8sVcgVYDe1IUEtr2sC4BBQ1eDkZeDnJgFugebQOY4P4CVoXzpvWIOpQtzBmgdv59w5uzpyXEQA5OCmro66OKxxqKZtzI+hKPuQRoFbON3NebryOtFd+qIe/ugKugCvgCrgCroAr4Aq4Aq6AK+AKuAKugCvgCrgCroArcDQVCM8f+H7+WH93fjTb5Xm7Aq6AK3CqKeBg6wna4zwYZSPwcHHx4sXyxhtvyIoVK+w9rzzwJIS40Q9cw3uO4SJ6zjnnyOmnny4Txk+QiZMm6vKafZseCBOXh5ZAsjNmzLCHoCFfKyCGP5MmTZI//elPMmHChJgnDtQNOPeBBx6Q3/72t/oAtSqGkg5EwQXqpptukp/+9Ke2M9YJC21955135PLLL7eH8kHnAzm3/A6dgq48/J0+fbqcd955MnbsWJkyZYq53vKwl/yoC68hfss5+l5XwBVwBU5cBbjGcT1l4z4V67X0xG0xNWd5d92qS6Rh/yap3/mmNOxdrfZ2u3W3Ogoqtrq3Pl5KzKk12Zxat9Um6b4Eqep0p9agZNcAW0G+9NYnyWoo2SsjTnJ6xcukIboNVWfAlDhJSQr1PbFewzg3WEzHOcAZUBz7m4957vkAYMCUQHcRmDWybPzRmg9Qh1A35oXmCKnnpNVNp5GweJQd6gNMdzgwaVu9ZuUrYBoB8SLAINcFC6F8/WKJOoTyWwNBWyonaE2euGzWKLBXrY6SzLUSNV/yjNOl1Wl7rUKQAKgqQKR4+kTjAIwCoRJ32/btkr9hkyxfvlLy8zdElmjX85pjoxVsnaaOrYMH56iTZl/LI5RvmkZVEF2jt6hDLb4lvbVB+6lGxxHQNHBlU77U1caPtqlx/KBZKKPFTI/hzqAD+qJ1Ta268uo5gVNrUxsa60OdDcZs7PfIuXAA7I6l2kEv4ob8gxbhtSP5hPMD4BPotSlPzQQYlzHJOAnnSkfKaKke4d5ocK7qFX2fJG/GL2MugO98Zn+k3aF+jeQ8dWxMw2ssgfKtnxhv0eU3XhcizroROJs2Uz5b0IX04T3ldbT8WOrocVwBV8AVcAVcAVfAFXAFXAFXwBVwBVwBV8AVcAVcAVfAFThcBfjOku912fhu04Mr4Aq4Aq7AiamAg60nWL+FB4g8/CwoKDBH0ddff10WLVpkjqZ7dClcnLC4OfPAMTqEB528ZuhykrixAl6ee+65Mnr0aF3mso+6h6XrA/7Ig9PotJR72223yc9+9jN78Mox8gn1iY7b/D11ufvuu+XWW2+1ZWabH2/xsz5UrVeI4LXXXpPbb79dFixYEFNZ5BXamZOTIw/97iH50KUfsiLC/hbLi96pZX//tu/LL37xi1Zh2ui2h3yBWYcOHSpnnnmmXHDBBQLMSx1wvPUJU7TA/t4VcAVOBQW4P3AfYosGdk7+tutNpE5dW4FZ967SbYU6ty6RuupSqdH9G9SpdUM1UGuSFCrUWqZQa/VRcWoNSncNsFW5MOmmq7H3So+X3L5xMjYnXoaoU+ugLIUP9fuEE/k7BcZ62AyIsyXXdRy0GCJwInOH6K3FqJ20085F6sj5qK9a2UNypi7M145GnZq0McDxYBguVCSUG12HcKytV2ubtgsoEVfaEl3avbR0t7lg4nTZM7On9Ndl1FlGXmeIugUg8ECuoe3s4f3K1Wvk/YWLZcuWrbJjR7HlDdiHc+WokSNkyuSJMlB/FMZy9ATq0FYgz1hDaE/Q7JC8GTeaWbROHck/1nocbrzoehv4SEat6EO9w0Z7CB1tyyH6WC6Hlw95Re5Z9KeOk8a8eEFz6taZugetTCctu3lborUJ70OVmscN+zuiX3vla4MlvrGPWuqflurQkfJDnf3VFXAFXAFXwBVwBVwBV8AVcAVcAVfAFXAFXAFXwBVwBVyBo6EA31c62Ho0lPU8XQFXwBU4tgo42Hps9Y6pNB4UcqONfg0PD1kqcvny5fLYY4/JnDlzpLCwUIqLi20JSR6MthW4cffu3VsuvfRSufrqq81BtFevXgab4gjUPITyAZJ2KSgACLtTl2YNdWkev6XPtINlUv/2t7/JJZdc0u7ymE156NNkXIT+b+b/GVDLMp2xhKAbzqi40P7jH/+Qnj17NiXlePMQed6umut/PMYuKSmRCy+80HRG05BndNqgDZoCTuDI+olPfMJcb3G7ReduuqxvdJrm5fpnV8AVcAVOZgW4TkYgoVMNbKVX9X5cVy0N1cXSUL5eGna/J3v3bZHS/TtlVWWcrK2Ml0J1bd2tW81RhVqpy/EFWwFa9fcy0l1dWbPS4mRw7zgZ0S9eRg+Kl6x0/aFN6qH3ZWrtwRWIRQGuMUCtu/WHXcXFO2Xr1m1SvLNEdpWWSqbO//r06S3D8nJlQP9+Nh8FUG0pcL3CtZIfhy1eskzenfeezn1LZe/evXYdYy7bt28fBVuHy/hxYw1qJX8ProAr4Aq4Aq6AK+AKuAKugCvgCrgCroAr4Aq4Aq6AK+AKuAKugCvQ9RSA03Cwtev1i9fIFXAFXIGOKuBga0cVO0bxD4JHFfIs2FJgcOiLL76oD+23GtBaXl5ukClxD4rfSh379+8vX/nKV+Rf//VfBaAVh9GQrjUAMxx/4oknDNyMtSyqQJ5sH7rkQ/LzX/zcXGHD/laq2LSbcjZu3Cj333+/PPzwwwYVNB1s4w2OQqQFZn3ggQfk5ptvNnelFpNgxaQ8DfEBI0hbUVEhP/3pT+XnP/+5lJWVNSULbSEu73nFnfX666+Xiy66SAYOHCj9+vUzyDUkIp4HV8AVcAVOVQXCtZXr66nl2NrY4+o6rrat0lC1U2RfvhSUrpE1O1fJun2VsrGiSsr1cGU9P6jAG/BohuMLtiYliKQmxUn/LIVae8XJqIEJ9to/M16SlTEEevXgChyuAix7z4++Nm7cJBs3bZbNBQqQK9Raru6tPXpkSG+d745UGDV3yBDp379vqz864jrFvBooFrB1wfuLbE5YVVVlc77s7CwZPjxPRo4YbltGeoaCst0Ot9qezhVwBVwBV8AVcAVcAVfAFXAFXAFXwBVwBVwBV8AVcAVcAVfAFXAFjqICsBoOth5FgT1rV8AVcAWOkQIOth4joWMtBhCIjcCD+X/+85/y7LPPyoIFC6SgoMAeuvPwPcQLkGV7+RMPV9Hf//73MmnSpIOcRNsDMCnrmmuukSeffDJmwDTUB3j2t7/9rXzyk580mCDsb+8VCOrRRx+Vb37zm1JUVNSkSVvpAtRKnEGDBskbb7yhEMLwg9pKW5prBhAxa9Ys0/ntt9+WTZs2yR51/orWOGiUnZ0tl19+uXz4wx82PYGF09LSmpYmpewQl/ceXAFXwBU4VRXgGsr96pQFW63j9X5eWyFSs0u27tkk60rWyeZ9u2XrvjLZVVUu5TUVUl1Xo8vDt+24fmRj6NiDrfyuI0Wh1W7JcdKzO06tIgOz42WQgq1De8dLr4w4SVcH18bVx4+seZ76lFaA+WJ5+T5ZtXqNrFu/XudwBebeWllZZfPOHhnpkpMzSAYNHCADBvRX2LWHpOrcNDEpUaHqBKmtq5Xq6hqp2F+h6XbLDnV9zc/fqHnlmxMs+TOv66du/BMnjDO4dejQIZKamirJLax2cEp3hjfeFXAFXAFXwBVwBVwBV8AVcAVcAVfAFXAFXAFXwBVwBVwBV8AV6CIK8N2+g61dpDO8Gq6AK+AKHIECDrYegXidmRQAiIAz1PLlywVn1scff1wfrufbsqi1ujwqcFDzENI139/8c0ZGhlx33XXyy1/+UqKXYSV9WyAmx1evXi2nn366QbWxlkf55DtmzBj5/czfy5lnnmnuqM3r1drnXbt2yS9+8QtzbKXMjpSbnJwsH/zgB+WZZ54R3hNIT31CXtXV1abtyy+/LI899pisWrXKHL/Yj85AssRnIw9g4I985CNy9dVXKxgxwIAGdOR4S6G1/S3F9X2ugCvgCpyMCnC9dbC1sWdVi5L9O2Xb3u1StK9YCst3yJY9W6R4306FW/dJbX1th+5zHRsvxxZs5a4Ypy6smQq09ukRJ4OyI1v/rHjpp5+zM+LVwbVjLfDYrkBrCnCNwWl16fIVOl9dq66tm9Rxv1xh1Wqd7ybYHK6nwqw4rvZVOLVXr2zJysxUt9XukqLzO5z692r6nerUWqJzz127SiOb/rgszLv54itHfzA147SpkpeXa5As+5grenAFXAFXwBVwBVwBV8AVcAVcAVfAFXAFXAFXwBVwBVwBV8AVcAVcga6nALyGg61dr1+8Rq6AK+AKdFQBB1s7qtgRxA9wZXQWAfzBNfT111+Xe+65R1auXNm0bDMP1YkTHZp/jj4W/T7AlcTPy8uTBx98UC677LJWYczotOE9ae+++2758Y9/bHUK+2N5pfwvfOELcuedd8rQoUPbTEI50fVdsmSJ3H777Qb4cowtlkAePXv2NPfVs88+2/KMTg/AMGfOHINmcWkFfIiGhokLqMAG9PCxj31MfvjDH8rAgQN94hNLB3gcV8AVcAUaFeB66mDrgeFQqe6sQKx7KvfIropShVwLZaeCrXury2V/zX6pqq2SCo1ToQ6vNeriWltf10lOrkcPbI1XihW2LzUpzmDV7in6Xl1aUxIjLq2Arf0y46RvT703d1OX1lSNp8cTnAc8MDD83REpwHUGd9ZNmzfLho2bZL06reK6unt3xHmfeWFKSrK5t2aoeyuOrYCu3bp1i4CtlZWyTx1fdynIunfvXtmv80Tyq9T9hCR1Ze3du7fk5Q6RCerYOlCd+oFjyTfMW4+oAZ7YFXAFXAFXwBVwBVwBV8AVcAVcAVfAFXAFXAFXwBVwBVwBV8AVcAU6XQG+w3ewtdNl9QxdAVfAFTjmCjjYehQl52F7eOjNewKfASl5ZVu0aJHcd9998vbbb0tJSUmToyjHQvqQNlS1+eewv63XKVOmyAsvvGBuVR1xmKKsGTNmyOLFi63ebZURjoW2paeny0MPPSRXXXXVQS6xIV5Lr5RXU1NjLqpf+tKXzIWrpXgt7aNc2kZb58+fb0AV+QFWrdflaX/961+bi+v27dsNaCUPjof68srk5vzzz5evf/3r5jKbqa5ehBDHPvgfV8AVcAVcgXYVCNdfrsEs581nD2Lg6r7qfQq1lkhppcJ0VeVSVrVXtzLZXbnbwNf9CrgCutY1HPrjlo5rqBRpQ7zUVUyQ+orx0lA9WBrqIve2jud1cAoAVTXFlB7d4qWnOrRmp4u9pqXESWZa5HN2euR9ssKuDrQerJ9/6hwFmFeXlu6WbTq/W7cuXwq2bpXC7UVSVV2lc8qIG3K8Utg47QO0pqelKeyaIknJSVKtKyXsr6hUl9e9tmoC1yrmfATip6enyfBhw2TY8DwZnpcr2VmZkqbpPbgCroAr4Aq4Aq6AK+AKuAKugCvgCrgCroAr4Aq4Aq6AK+AKuAKuQNdVILAfvgJb1+0jr5kr4Aq4ArEo4GBrLCodYZxouKdKH6ADWT7zzDPy9NNPy8KFC5uWOqWYAFryGiAgYE1uvCGfWKoT4pMWB9Obb75Z7r//fgM3Q77hwX1r+QEjzZ49Wz760Y/qA/8yixbStpYm7Cfviy++WH7yk58YaNpeWSEd+RcUFJhD7O9+97smDcLxtl4pg/beeuut1lYA1ueff16eeuopmTdvnuCKS5uIRznEBVoAbhg7dqy5s15xxRUyZswYW7o2xGmrTD/mCrgCroAr0LICXEO55jrYerA+derEWltfK5UKrlbVVkplXZWUK+gK2Fpasdvg1v3V+/V4ZSPYWn9wBh391KD3PFHX1qo8qa/KlYbaPgq2ZnQ0l4PjK/cH+qe/BZEk3YBaMwFbM9SZVV8BW7sl4+QqkqIbUCvurnr79eAKdLoCXGuYX+PSumXbNtlSsFUKtmyRUv3M/LW6usbgeuBWvsBi7hcfn6BbXOT6VFsnNQrHBgCfOElJiZKlEGu/vv1k1KgRMmTwYHVu7aVgbKokaXoProAr4Aq4Aq6AK+AKuAKugCvgCrgCroAr4Aq4Aq6AK+AKuAKugCvQdRWACeH7fgdbu24fec1cAVfAFYhFAQdbY1HpMOLwkD1APeXl5QJkuXTpUnMiffHFF2Xfvn0GWAL8AFgSeM+NNbhFcbNlCdRevXpZ3B07dphrKvm2FQK4SRzyHjVqlDz33HOSl5fXlIw47QWcU6+55hp56aWXDBhoL344Tt5st912mzmfsoRre4E2kQYN3n33Xbnllltk+fLl9rm9tOE46dHrv/7rv0zrxx9/XB28Sg+CY4mDxrjJDho0SKZNmybXXnutnHvuuebART1Cf4R8/dUVcAVcAVeg4wqEe6CDrS1rhz78F4FcK2V/zX5zby2vLpeKmkqprqvuHLBVEVS9w4rU9FaotZdBrQ0NqS1XKsa9NoPQPziwArYCsqanxkkPhVrTU4BZ1R1T9zvMGqOgHu2IFeB8qlS4FefWwsIi2bp1mxTpvHnnzhIp1zl3VWWVzSm5HtVz7ukWAnND5n5hS0lJltTUFMnReeLgnEGSmztU+vTpI927d7M5ZPsz6JCzv7oCroAr4Aq4Aq6AK+AKuAKugCvgCrgCroAr4Aq4Aq6AK+AKuAKuwPFQIHAhDrYeD/W9TFfAFXAFOk8BB1s7T8umnABTgVlxiSoqKpI///nP8te//lWKi4stjsEsUQ/U2cmNNQTgzKysLMnIyJDJkyfLjTfeaI6jOK7yQD76YXxI0/yVh/PExY300ksvFSBPbtqUE9JHl9k8PXE2b94sF154oWzcuNHShHTN4zb/TL4AAP/zP/8jn/zkJ2MGRckfx61HH33UHGZ5H13f5uU0/0ybQx1D29CAgDsXeuJeO1hdt677zHVy9TVXGzQc8lEc1yCjUGb0a4jjr66AK+AKuAKxKcD12CAyvQ4HJ8TYUp46sQBb+b++QTVqqIts6KWuruwz9NXmCwcgvMNTR+cYDUnSUK82qqLEaUPkBzWHl5em0vs8sxamLnrrNcA1ETfMxvfsD8cPuwxP6Ap0UAGuNzU1tVK2t0x2lZTKdp2DMw/HyXXv3nKbY+Leyg+37Nqk5xZzR+bHyTr3Bmhl3ty9e3edM6ZJXm6uga09e/ZQp9ZGqJXB7cEVcAVcAVfAFXAFXAFXwBVwBVwBV8AVcAVcAVfAFXAFXAFXwBVwBbq0ArAefP/vYGuX7iavnCvgCrgC7SrgYGu7Eh0aAVjHwEk4E32+zWe2iooKcwjdpsugvvXWW/L000+b6yiAKw/QiRMC6dkXAFTAS6BL3FlxWL366qvlgx/8oAwcOFBWrVolP/jBD+TZZ5+15NH5hPyav1r9dGd2drY88MAD8sUvfjFS5+YRm30OefM6c+ZM+d73vqdAwG6LFY41S3LIRyYHn/3sZ+XOO++UYcOGxVQumaDHmjVr5Fvf+pa88MILB+l1SCGNO0I7Q93CZw6jbVpammRmZsqQIUMM0v3whz8sY8aMMcdW4kbHb60M3+8KuAKugCvQcQW4Lhs8ptd2B1s7pl8AXu21Y0lbj21TkM6C8jSfyP8HXlsv2Y+4AsdMAa471dXVkTm5Aq3MYffsKTOwldUS9utcvaKi0q5JXJ+YsyYq1Nq9W6qkKdDKvDEtPU3S9bVv3z6SrT80S05Osng+Zzxm3egFuQKugCvgCrgCroAr4Aq4Aq6AK+AKuAKugCvgCrgCroAr4Aq4AkekAN/pO9h6RBJ6YlfAFXAFuoQCDrbG0A0tQZNhH65PgKsbNmyQxYsXy+zZs2XWrFmyadOmJuC1tSIAL3GG6t+/v8GsZ511lsGsM2bM0CVQI8sEAwM99dRTBnvioBrKbS3P6P3cqCdNmiQvv/yyAbOxPpCnDECAq666SubMmWOAQEjbXvnES09PF9xlb775ZmtfdJ1ae0++tbW18vrrr8u1115r5bdXFnlRHvFC/diXnJxskPDw4cNl2rRpct5558nZZ58tAwYMMNi1tXTs9+AKuAKugCvQOQpwbXawtXO09FxcAVcgdgX00qMhMq/EwXX//v1SrlBrAFxZVYE5p4GtiQmSkpwi6Rnp0rPR2T8trVuTQytz9eg5Zuy18JiugCvgCrgCroAr4Aq4Aq6AK+AKuAKugCvgCrgCroAr4Aq4Aq6AK3C8FOC7fQdbj5f6Xq4r4Aq4Ap2ngIOtHdSSh+DcBCsrK81JdfXq1bJy5Up57rnnZOHChU2QZTSUGd6TLkCYgwYNknHjxklubq5ccMEFcuWVV9rSpzyMT2AtXw3EZQnVn//85/Lf//3fHXK8oyzg2K985Svys5/9LKZWhnoS+bXXXpMbb7xRtm7d2lRn9kfH4XPzQLlTpkwxsPXSSy9tAkmbx2vpc2lpqfzmN7+Ru+66y4CDluI030d5IeCyhaYjRoyw12uuucaA4XA8xA1tCJ/DcX91BVwBV8AV6DwFuNY62Np5enpOroAr0DEFwjUIuLW6plqqqqqluqpKf7BVY9cmjsfH6xdbumpCsrq28mMztiR9n5SUaIX5XLFjmntsV8AVcAVcAVfAFXAFXAFXwBVwBVwBV8AVcAVcAVfAFXAFXAFXoCsowPf7DrZ2hZ7wOrgCroArcGQKONjaAf1wZ123bp1s2bJF8vPz5bHHHpO5c+ca5MrD8bBxk+R9eBge3vfp00fy8vLMofXCCy+Uj3/84/Y+UR+oE0L8UCXS4QD7jW98Q95///12odKQLrxmZmbKE088Ieeff/4heYc4Lb3iEnv77bcbZIobLSG0qaX40fsAAr785S/L9773PenXr1/M5QI/LV26VG644QZ75XNrIdSF1+66bGyuwsE5OTkyevRo+cxnPiOTJ09ucoptrmlrefp+V8AVcAVcgc5VgHuYg62dq6nn5gq4Aq6AK+AKuAKugCvgCrgCroAr4Aq4Aq6AK+AKuAKugCvgCrgCroAr4Aq4Am0rACfiYGvbGvlRV8AVcAVOBAUcbI3qJSAcQoAh+QzkWVxcLOvXr5fly5fLW2+9JfPnz5fNmzer41N1U+qQtmlHVD4ZurTpGWecYc6s5557rowdO1aysrKa3ExDedFpyY/8//rXv8qtt94qLJvaUhnRaaLfs3QqZT377LOSnp7e1KboOC29pwzadt111xm0S/upX3tlhzYMGTJEfvSjH8lnP/vZpjJJG45Hlxn281pRUSF/+9vf5OabbzbNiRddZqgDr8CzQMLDhw83iPW8886TqVOnyuDBg21yQtqWymO/B1fAFXAFXIFjowDXcAdbj43WXoor4Aq4Aq6AK+AKuAKugCvgCrgCroAr4Aq4Aq6AK+AKuAKugCvgCrgCroAr4ApEFIAXcbDVR4Mr4Aq4Aie+Ag62NvZhNETJLmCc7du3yyuvvGJuqYsWLZKFCxcagBnihtfWhgE3S7bLL7/cHFBPm36aJCUnKbGp4KUufdpSiM5z48aNBon+8Y9/NNiTvKKPt5Q+7GMZ1d/85jfyhS98IeyK6ZV2z5w5U374wx/Ktm3bYkoTIlG/D33oQ3LffffJ9OnTW4RLo+vPe1xwCwsL5dVXXzWI97XXXgvZ2StxyBdQNzU1VcaMGSNnnXWWTJgwwWDWcePGSVr3tEgalZS4HlwBV8AVcAWOvwJcvx1sPf794DVwBVwBV8AVcAVcAVfAFXAFXAFXwBVwBVwBV8AVcAVcAVfAFXAFXAFXwBVwBU4lBeBGHGw9lXrc2+oKuAInqwIOtmrPRsOWQDiVlZUCYPnSSy/JE088IUVFRdb/IV54bW9QcLPErfX++++Xz3/+8xEAs5G7VORVKcxDc6B8IE7cWl9++WW56aabrHzKJL9YyiZe9+7dZdWqVZKTk3NoIW3soXxg2EcffdQg3jaiHnSIMnGG/epXvyrf/e53pWfPnnocsPdAtFB34paUlMgbb7xhdcQN9/XXX5eCgoKm9hGHkJiYKHl5eXLmmWfKyJEjZdq0aeZ+i+MtIRLv4HLsgP9xBVwBV8AVOK4KcM13sPW4doEX7gq4Aq6AK+AKuAKugCvgCrgCroAr4Aq4Aq6AK+AKuAKugCvgCrgCroAr4AqccgrAkTjYesp1uzfYFXAFTkIFHGzVTo2GRnEpffLJJ+WRRx6RZcuWGWAaDWSG9+G1rTHBzXLixInys5/9TC6++OKmqAHabNoR9SbkW1paao6rd955ZxPsSbRwPCrJQW/Jm+2qq66Sv/zlLwaGtlVedGLyXrJkidxyyy0yf/58A5Kij7f1njKmTJki99xzj1x55ZWNwOnB9d2zZ49punTpUitn1qxZgittRUVFU7uoAzBrv379ZPLkyaYf7q+nnXaaDBgwQJKTkg9xu421fW3V34+5Aq6AK+AKdK4CXM8dbO1cTT03V8AVcAVcAVfAFXAFXAFXwBVwBVwBV8AVcAVcAVfAFXAFXAFXwBVwBVwBV8AVaFsBGBIHW9vWyI+6Aq6AK3AiKOBga2MvAeBs375d/u///k8efvhhcw8FyCFwjMDNL7y3He384UZ5ww03yB133CHDhg1rJ3bkcMh/9erVcuutt5qTKfVor+xwnFfcWnFDBQaN3t9eBXCJvfvuu+V3v/ud7Nq1q73oBx2nHGBaIN6hQ4c2HcP9duvWrTJv3jyZPXu2ga35+fnmQltXV9cUD5fatLQ0GTFihJx99tnm0Dp27FjLKzMz01xsKcODK+AKuAKuwImhAPczB1tPjL7yWroCroAr4Aq4Aq6AK+AKuAKugCvgCrgCroAr4Aq4Aq6AK+AKuAKugCvgCrgCJ4sCsCUOtp4sventcAVcgVNZgVMebAW8Ydu9e7dBrb/85S8NxAyA6eEODm6U/fv3NwfT66+/XpKSkgwybQ/OpFxg0Oeee06++MUvSllZWYdgWgBRXGIXLFhg5fGZPNsrl3YWFhYaiPvaa68ZjBSrBuQNfAqI+/3vf1+Sk5OtDXPmzJFnnnlG1q5dKxs2bJDNmzdLVVVVE2wbtM3IyDCX1yuuuEJycnIkLy/PtEOzWOse8vJXV8AVcAVcga6hANdvB1u7Rl94LVwBV8AVcAVcAVfAFXAFXAFXwBVwBVwBV8AVcAVcAVfAFXAFXAFXwBVwBVyBU0UBGBYHW0+V3vZ2ugKuwMmswCkPttK5wDdPP/203HXXXeYoyme2IwncKC+55BK57777ZMaMGTEDmpQLYIpzKu6xHakHZbLdc889cvvtt9t73SPampjAVjS47bbbZNWqVVZurGUDz55//vly7733SmpqqrzyyiuyZMkSy2f9+vVSXl5uUob68YFJxAUXXCCXXXaZgazjx4+X3Nxc2088yubVgyvgCrgCrsCJqQDXcQdbT8y+81q7Aq6AK+AKuAKugCvgCrgCroAr4Aq4Aq6AK+AKuAKugCvgCrgCroAr4Aq4AieqArAmDraeqL3n9XYFXAFX4IACDraqFsuWLZMf/ehH8tRTT0l1dXWHYNIDUh78Dtjzq1/9qtx5553Sq1evmCFNQCDA0quuukrWrFljUNDBObf+iZtz79695e2335YRw0dEyoyBDaXM/fv3m9vqI488Ivv27YtZgzAhwCV28uTJpiXOrDjg1tTUNFWWeImJiQLAet5558kHPvABGTdunDm0duvWzY45zNokl79xBVwBV+CEV8DB1hO+C70BroAr4Aq4Aq6AK+AKuAKugCvgCrgCroAr4Aq4Aq6AK+AKuAKugCvgCrgCrsAJp0DgWIBbYXc8uAKugCvgCpyYCpzyYGttba384Q9/kDvuuEN27NgRM9DZXncPHz7cnFM//elP2y9B2osfjgOV/vWvf5V/+7d/6zBkyw2Z8mbOnGnOqSFPNWwVNW5tNQAfLViwQL797W/L7NmzDaZlX6yBclNSUqydALLRgCrHgG1xrf3Upz4lU6ZMsc+ZmZmWBjc/4kSnibVcj+cKuAKugCvQdRXguu6OrV23f7xmroAr4Aq4Aq6AK+AKuAKugCvgCrgCroAr4Aq4Aq6AK+AKuAKugCvgCrgCrsDJqICDrSdjr3qbXAFX4FRU4JQGW4FuNm7cKD/+8Y/l4YcfbnJHZf/hhnCDvO6668wFNicnp1231gB3UiZup8Cpc+fOtSrEWhfKJS5Q7NVXX20OqLG2gXQPPfSQPPDAA7Jp06aYyqW8EEIdo/dxDBfXm266ydxZs7OzDWhNTU1tV4+Qr7+6Aq6AK+AKnLgKcG9wsPXE7T+vuSvgCrgCroAr4Aq4Aq6AK+AKuAKugCvgCrgCroAr4Aq4Aq6AK+AKuAKugCtwIioQuB13bD0Re8/r7Aq4Aq7AAQVOebD1ySeflG984xsGlAZA84A8h/cuPT1dvvWtb8ntt98uSUlJ7YKcody6ujpZtGiRXHjhhVJeXt5UeDjetKOVN7m5ufLmm2/K4MGD2y0zOovdu3fLd7/7XXOura6utkMBlI2Ox/toeJV6hc8h/pAhQ+Rf/uVf5LLLLpMxY8ZInz59pFu3bhYvxG2ep392BVwBV8AVOPkU4B7hYOvJ16/eIlfAFXAFXAFXwBVwBVwBV8AVcAVcAVfAFXAFXAFXwBVwBVwBV8AVcAVcAVegKysAmwLU6mBrV+4lr5sr4Aq4Au0rcMqCrQA3+/fvl1/96ldy2223dYpbK3Jzg5w6daq5tQJ3xsfHt9sLARAFZv3FL34hd999t7mvkpBj7QXKZLvvvvvk3//936V79+7tJWk6Tv7PPPOMlbl48eL/z96bwMlVlmn7T+3V+96dPZ0EQhKSgBBARSXAOCoMjvugOD8XcEedv+JvIOiHqICIoI7Lx6fIjCDiMC4ogwqKgMgWwiKQAAkhJOl09j291fq/7/fUW13dSacrmECn+z7k1DnnPe/ynOs9VdV0Xf1UWeOxsR+T2/r6ejvxxBPt7W9/u51++uk2btw4i8fj7ocE1ETtQID111kcXDsiIAIiIAKjlgBf8yW2jtrp1YWJgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIwIgkQI9FYuuInBoFJQIiIAIHRGDMiq2UbbZs2WLXXHONXXnllU7UJLlyRNL9EWaG1vPOO8+uuuoqq6qqGtAf3zwHL348bjs6OpwgyrgYHxd/fnC70mP2y6yozNZKqZZv0OUumUzGrrjiChfv7t27y2oWjUbdGMwMy+ysH/3oR23atGmuLcdmPIx78JYV9sWgrEFVSQREQARE4LAiwPcBia2H1ZQpWBEQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQARE47AnQS5HYethPoy5ABERABGzMiq0UbtZ3rrcrvn6Ffe973ztot8KUKVNs0aJF9rGPfeyA+sxms/bLX/7Szj77bNeuHKHVD8A3ZWZM/fWvf23jx48vti+VSH1/LMOlQzA145jr16938d50001FmTao0y+mskNmnqXQykyszMp64YUX2vz58y2ZTDpZtXQsH5e2IiACIiACY5eAxNaxO/e6chEQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQARF4pQjQX5HY+krR17giIAIicPAIjFmxlQhffPFF+9rXvmY//vGPDwpRvjm+4Q1vsKuvvtplTqUMOtzihdOenh77yEc+YjfffHNZWVp9vxyTWWJ5De94xzussrLSnfL98jz3/ZbZ85iltbe311auXGn/9V//Zbfccott2rRpQD12QpGVfVNepcT6/nPebwtPXeiys/prY79aREAEREAERGAwAYmtg4noWAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQARE4FAToMcisfVQU1b/IiACInDoCYxpsXXNmjV22WWX2Q9/+MO/mzTfGGtqauwDH/iAXXnllVZRUVF2n8ycumrVKjvhhBNs586dByy2zpw50377298atz4bqx/cS62UWXfv3m2dnZ22ZMkSu/322+3uu++2rVu3FoVWtqGwyjf4+vp6J7C+5jWvsXe/+9120kknOTmWdXitElpJQosIiIAIiMBQBCS2DkVG5SIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAoeKgMTWQ0VW/YqACIjAy0tgTIutGzdutG984xt2zTXXOFGTEs5LXfjGOG/ePJcB9p/+6Z/KEj+9dEqx9fLLL7dLLrnkgKRWxspxzz33XDduW2sbCqwoqrJ/irJbtmyxtWvX2h133GE33nijrV+/vhgfM7iyD2Zmpcza3NzshNYPfvCD9pa3vKWYAZZ1Shcfe2mZ9kVABERABETAE+D7BN9juPJ9jsdaREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEROBQEqDfooyth5Kw+hYBERCBl4fAmBVbvfT5H//xH3bppZc64ebvkW74pvjGN77RrrvuOpswYUJRHB1uGjlmOp02ZkZ9/PHHD0j84ZtxVVWV3XDDDXbGGWdYIpFwwzEz67Zt22zz5s1233332c9+9jNbvny5dXV1OcHIx8SYa2trncw6ZcoUO/PMM53Myn32xeytfmGckls9DW1FQAREQASGI8D3DYmtw1HSeREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQgYNJQGLrwaSpvkRABETglSMwZsVWIk+lUi6D6ec//3nbtWtXcRbKEVy95OmFz4aGBvvYxz7mJNloNLqXBFrsfNAOpZ9HH33UFi5caL29vQPE00FVi4d+bBacfvrp9v3vf98mT55sFFrXrFljjz32mN1zzz320EMP2erVq107tuFY3CaTSWtpabEZM2bYiSeehLFPsVe96lXW1NTkZNbS/ouDakcEREAEREAEDoCAxNYDgKWqIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACB4UAnRdlbD0oKNWJCIiACLyiBMak2OplVJJ/5JFH7OKLL7a77rqrmC21HLHVzxrfEJnZdMGCBXbttdfa/PnzB2Q69fWG2vb19dn73vc+u/XWW10VyqfDLaXi6aJFi+y0U0+zjnUd9swzz9gdd9xhTz75ZFFi9dfis7POmzfP5syZ40TW0047zdrb2yG7MjNr/oDiHi5GnRcBERABERjbBCS2ju3519WLgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIwCtBQGLrK0FdY4qACIjAwScwZsVWsxCETnOZWr/97W/bFVdcYZRMuXgZdH+4+Ubo61VWVtp73vMeu+666w4o4ynbd3R02FFHHeXG5rHvc39j8xzH53r22WdbZ2enE3S7u7tdWWkfVVVVrv9p06bZ7Nmz7R3veIcdc8wxrnvWYx9+Kd33ZdqKgAiIgAiIwEshwPcY/rEG12w2W/b720sZS21EQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREgATovihjq+4FERABETj8CYxZsZVvZHBuINxk7ZZbbjFmPl29enXZ4k3QPhBDJ0yYYJdccomdd955A0TRYW8PjH/9f15vH/3oR924lIBKpdSh2pcKqMwWW9qO52KxmE2dOtWOOOIIl0F24cKFduyxx1pTU1NRvPXxc4zS/oYaU+UiIAIiIAIicCAEJLYeCC3VFQEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEROBgE6MBIbD0YJNWHCIiACLyyBMak2FqKnOLN0qVLnZh66623DpBES+sN3vcyaDQatde85jV2ww032JQpU8qSRL2IumfPHjvzzDPt/vvvd92z/EAXHwfflOvq6uzoo4+2V7/61S4r69y5c1221ng8XlZcBzq26ouACIiACIjAUAQktg5FRuUiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAKHioDE1kNFVv2KgAiIwMtLYMyLrcTd09Nj3/3ud+3rX/+67dixo6ysqWzHN0PKpB//+Mftsssuc9lQWT7c4gXWv/zlL/bWt77Vdu/ePeyYXmBlW+5z5T4ztlJmPf3002369OlGmfXEE0+0ZDLpwvB1h4tJ50VABERABETgYBKQ2HowaaovERABERABERABERABERABERABERABERABERABERABERABERABERCBcgjQk1HG1nJIqY4IiIAIjGwCElsL8/OHP/zBLr74Ynv88ceHlUxLp3Ty5Ml2/fXXO7GUb47lLhR+LrjgAvvBD35gfX19w45Z2jffgNvb223BggU2a9YsO/74412W1vr6eie6ltYt3S83NtUTAREQAREQgb+XgMTWv5eg2ouACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACBwoAXoyElsPlJrqi4AIiMDIIyCxFXNC+WbNmjX2xS9+0W6++WbLZrPDzhTfCGOxmC1cuNB+/vOfW0NDw7BtfIVcLmcbNmywM844w5YuXerGYwxDLRyLmVkbGxtddtaTTjrJZWWdM2eOTZw40aoqqywUDrK4+j7Yn6RWT0NbERABERCBl5uAxNaXm7jGEwEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERkNiqe0AEREAERgcBia2YR8o36XTarr32WvvGN75hnZ2droxvdvsTTimzsv65555btkTK/jKZjP34xz+2RYsW2Y4dO1xbyq5+PL+lzBqNRm3KlCn2j//4j3bqqafatGnTjFliKbnynBYREAEREAERGIkEJLaOxFlRTCIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIwugnQuVHG1tE9xyPp6nLwwHK5vDGdIXYLS3HHF2h7GBAY/D3tfC3xi9vDMbeuuLDvzx/41t8j/WMceB+jv4XE1sIcU8B57LHH7MILL7S77rrLlbLMS6aDbwWWUzj985//bO3t7a5e6Q3t67MPv1Cefeihh+xXv/qV3XnnnbZixYpidlg/lu+jpqbGTj/9dDvzzDOdzHrEEUfYuHHjnMzq6/h+tRUBERABERCBkUaA72v8ow2uzIRe+n440mJVPCIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAqODAJ0aia2jYy4Ph6vIZHNIppi1LPQwSq6BJQbfrCT4fnOspLBQs7TkwPYDydK3OSRj7LtTP+ThscVElM7FgKD3cX2s6+rjdYSvJW5lGffDZmFsw9gJvll9QG/9B77fkoFDvszPe6GAdwr/07JvAhJbS7hs377dPve5z9mNN97oRBx/al8yTjwet7e+9a120003WSwWc1V5E3tB1bdhdtbly5fb3Xffbffff78tW7bMXnzxRevq6nJ1S+snk0k77rjj7I1vfKMtWLDAZs+e7WTWRCJhzN7qF46jRQREQAREQARGMgG+v0lsHckzpNhEQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREYPQRoFMjsXX0zetIuyJ6ikjUatv39NmWHT3Wnc5ZbwaJn/I5l7o11G8yFjO5eu0VFQZeTumhV8JKywbWdkdOh/R1UTKweskRdvvH3UdHvqgkcWOxiDslXfly2HF+t7gduqQkSN9ucOVileEVz8FNiwHsY8fPQdB9YZDSDa8ZK+RJt4WuCoEV8iocvWCN4LWE+8E2iv1ELGzxWMTi8YjxOIIGrBsJB7Gz+2AIdtQfFG+H4JbgDu4RHGAPW7bjyCWV+5uN+T2JrSW3ADPKXX/99XbFFVc4+dTLqSVV3C7fBBsbG+3Xv/61nXzyye4GLa3LfrZt22ZLliyx2267zR588EHbsGGD7dq1y/r6+pzQ6vtkX8z8+rrXvc7e9a532dy5c62hocGYsZXCrBdffX1tRUAEREAEROBwICCx9XCYJcUoAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAqOLgMTW0TWfI/VqmKEVLqu9uGmPrVi307b3ZG1Xit9mmoHrlYPwiJNYKC8G3qTbK5TwTLDwXOkCjSwQHgeVs5R1nTSJB+qQvNcHLkGj4mOxD0qUhYNi2cCW7HyvUygYXBqMOKhm4bC/tH8vGMXHifLiqf6e3VlcS1DL1x0UX8nhYGYlp0p2+S3tzIeKcdDlgN4LQzihFXZyCN9CyxVuKhxAiqoUWaMQV7GNBtsoZdZoxKqSEavkWhG3ZDxqSZQlcS4RQz20daIrRmM/zOrqTFlEFeY4LnAAwL2RD1NuDc5Di0WLSEns2vUEJLZ6EthSwtm8ebOdf/75TlpltlW+CJRKq6zOv+xgRtV7770XBnbc9eAFHmZjveGGG+zWW291fe3Zs8d6enrc1zD7FxTWZRbWefPm2QUXXGCvfvWrrbKy0mpra11/fkxf3w2ABx/H4HJ/XlsREAEREAERGCkE/Psis7byDz78e9hIiU9xiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIjD4CdGqUsXX0zetIu6I9abPNPWaPd+yxxat22dZes51ObM1C8MpCkqTBiW85ZeCQGvl5OYuK2U4LgucgvXMfl4mKwT/XHysEXiZVzWDPVSi0DLotdl5ow1FKywqVCx0XzhTq7rVB98XWbsTiNXB41xjn+zvxhdhy8TFyv7/Svv2B0rqsv/ey73Z712NATjIOZsBVcL0XBVoUueuCZAoRmWsQXyFGbHy03HI+ucbDaaxZS0JMbapK2sSGWpvUGKz1lQmrhfCaSESdBBuLhCwaKmRzZSdozw1FWyZo5WtVGOeDmRz+2tFqzC0SW0umnDc/10WLFtn//b/XIsPqzqLYWiqT8g3woosusksuucSd3759uxNhb775Zlu5cqVt2bLFent73Vcws/vStjNmzLAPf/jDdtppp1l7e7vV1dUV5djSeiVhaVcEREAEREAEDjsCfD+l1Cqx9bCbOgUsAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAoctAbo3ElsP2+k7bALf1pu3Vbvy9sDqbrt35W7b2he2nZBdc7mC2AqhkhojPjZ3LloIcmsY+0V9kSew9D8WzwxgsJfIWWgX1O5vs1c99uzquigG9MnyLtQ1jgAAQABJREFUYFwG0B9BsZIrKq3DOIN6HLFfbEVZULxXP6zfL976nn0vHLe/z/4+fL19b4OhCgP6cfddFZeFBFxIaBkIq6iEwAczYwQwGtx/3GN0znMgn0ICL+c7YD/v5hUJMrN9yL6ashjW5qqETW2ps/bmepuKtbk2aY3VSaupjEJwjVl9ImY1ibjVIGkmksAigyvuD7w+5SmzYg3ztQor/hViG+JixnCxxNZBk88b9Le//a2TW5999tm95NRwOGzV1dX2wAMP2Lp161xm1j/+8Y/W0dFh6XTa1S99seAbZmtrq51++un29re/3U4++WRrbGxEymEY2RBkJbMOmgAdioAIiIAIjAoC7gc+ia2jYi51ESIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiJwuBCQ2Hq4zNThHeeWnpw9vz1tizt67cE1PbYzE7WuTBhiZBaSIr7a3vitpmZZPOCb593X0PPL5uE2uoXnCnvYUKncl3bpThXr9bdhudMwg3O+r0KF4LBQ6MpK6roWOBf8K7Qf0CIoc5JnYZebksFDTD1bcuw7C3rhkd8bqLb2l7O5rxP07Q9LSksG97s4W1KhZNdXKG4hRHIQUO2v5aIJMBfrBWTwyGsqWXhEudUl84Ikm8tCbsWay3DLuU1bBKZyPBbCasjQGrJkImLVyYg1V5hNrkvYzKZamw7hdVpznSXiEYvFcH/AF6Tlyv+Yq5X3A4sovWrZm4DE1kFM+MTZtWuXnXvuufab3/zGfX3yoCo2YcIEa2lpsaeeesrdwHxTZDuu3Ke0WllZaUcddZS95z3vsfe+9702ceLE4nnJrIOJ6lgEREAERGC0EeB7ojK2jrZZ1fWIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIwMgmILF1ZM/PaIluc1fWntuasUfXp+yRzpTthtjak4W4yMyekFoptyJJq1uZj5M+ZQSSJf1Fr1DyM/Vg8duBcqsrLZxyUqivhh5cW+eqFbpgr8G/YITSdm7EYmO27g/C1R54XOyxEJ9rWdgPIoSpy6UYvz8sHWPvLKQDz5Y2D8bvPx/0t/djUI/lw9VlnMyQ62riYABZdxyUsEZwsr9H7wHyFDn7NZeFAwGxNQexFY+WyWYsnU1bJpeBG4FsrpjceCRvtbGstVWGIbfG7YiWWps5rs7GN1RZa12lVSbjlojGkKk1yNhKuTUU5srRtAwmILF1MBEc84b8zne+Y1dddZV1dnY6WZVl/sb1b4IZpCzm4o9jsZjV1tbaWWedZZ/5zGdszpw5TnJ1lQr1/L7vzx9rKwIiIAIiIAKjiQDf5yS2jqYZ1bWIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIwMgn4B0efosyE9NpEYFDQWDTnpw9uyVrj23I2aMbsrY7HbEeaGT5XBo2a0FsRXLEXAg6Kx1KJkqEjhnolFRLA0mzX6f08iWj9dIlpcrS6P0x23Lfb/dVh2VuFLcNagSducdgN6hT3A9qFR85hjvw4zIylmAtCczFUWxUOI2Nvwp3CgeurwHteCYYwdUZ2CIoKj721/Pj9ZcUK7kdjssErKXjA39x4WuEX8LYD/5jCXssvVYcsq6rg3OIPYv5pQfBJZPJWqovhTnHORS5rK4UXHN9WHsQwx4bXxe1dqRwXTB9nB0zpcUmNVRbQ0UC2V5xP0QCudVZrSUxuc714AhIbN3HjcAnwJIlS+zjH/+4PfHEE+6G5E3Ncn9zcxuNRi2ZTFpNTY0df/zx9v73v99e+9rXWltbm/EN0tfdxxAqEgEREAEREIFRTYDvmRJbR/UU6+JEQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREYMQRoKtDZ0di64ibmlEV0KauvD27OWePb8y7dVfKILbia+oz2IHc6ARJpOHM4mvnAzmSomUgThKEU0Z56PaDbb9u6ff6K3jF1AulTu503RXOuKpB/YF9o8x1h637F9TpH7jYcxAEH4tVcK6w31+LnRTW/k4KfRe68I3cIcXQQjk3hXOu29J6rk5pxZI2pbto49u6bem5wr7vhXLr4IWvD8XzOBkcB2UBU15zf0NUR6V+QZ4OBM+zPI/9HLK2UmTGAaY9g2+G55qF9JqyVKbLquJZq6/I2ZxxNTZ7XC3WBpvSVGNNtZVWkYxZLAoBH/2HSsYYHPNYPpbYuo/Z5w3Y3d1t5557rv3mN7+x3t5edyOznFlZKbQ2NTXZzJkzbeHChXbGGWfYMccc494UfXeSWj0JbUVABERABMYiAb5nSmwdizOvaxYBERABERABERABERABERABERABERABERABERABERABERABERCBV46AxNZXjv1YGtmJrVvy9sQmg9hqtjuVs55UBmJrXyC2UnqE1JqLRJGxFRYkhUrIjzRAi5Io/MnifgFev3bJgkCwxEfvhYU7FC8Lp1x54WRxE5wsPeXSl/p2riecDf4VOnKFwRnXsHBcGLi/iHtsWFjZJ4+5lG6KAQcKqZNDWcXVCSoWq/iGhUpBC9fjXg9B88Ht96oWFKBaUWwNmqDATQPO91P2e6xLx4FBcuv2XWyo4WKDloxtLo+8u0jBGwnnIaTmLRLKYRxk6cWazSKbK+TWdDZsqWzOenGczXbjnuiytmTOptZG7FVTmm3u5GY7clKjNdZUWlUyYVFklqbcqmVvAhJb92biSniD3nLLLXbhhRfamjVrXHpyZmKdNGmSHTHjCHvfOe+zN7/5zYWblzf+wIyuQ3SrYhEQAREQAREYEwT4PiqxdUxMtS5SBERABERABERABERABERABERABERABERABERABERABERABERABEYMAYmtI2YqRnUgG7vMnt3GbK1mj0Ju3dOXtV6IraFsH5J3QnDNZyFCRiwLsbUoUqKMcis+SsdCeTJA5OVQJ1l6s7NwjvWC2q6Jf3DFRXHT1QhqBV37HlkdJa7P/vGKfQ4aw3VTKAs2eAz+sSN3OgiahTwulHGvcDGuxF+Ya0ExdEBVtAraBdUK+6w7oJ1rPOBhQN84CFoOqFI84JAhSKheXHUnCmxdPAPPlHTG6AqsEA+vy7kPrixvWcP8oZ8IZNQIZNQI5GVm4uWaz2GF0JpDBtdsJm0ZiK2ZbAr7fZaI9FlNLGtT6mN2VFuNHdPeYkeOb7T21gaLoY9IEFQxfu0EBCS2DnEn8KbcuHGjnXfeebZ27Vqj1Pq+973PzjrrLKuvr3ciaxg3qX9iBnb2EJ2pWAREQAREQATGGAH3wx3/Cg0rU+3798sxhkGXKwIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIi8DISkNj6MsIew0Nt7DZ7BmLrY5BaH4Xc2tWXCcTWXAoZW9P4fBwKJMTWXDgGSoFRGYbwig/QqUA6kZKfoQ+QM101qpg8zzP+LE8ECReLZTgV9DpoElxWWJaxvj/X35crKpwITuMx2PGV3dbHGBTiqFiH9Xngt6zB2kGFYj2exhk+H4tyqStjqa8dtOVjjg2xFtuzcK+FbVnNb/sJOGY4V1oSAn8/drHc7QRHxTL2yY5RwDJ3NS4WJvNiTBBaIavmMKfZEKRlZGmNhKL4Znes4TiyrUYMOVedSOsuINdnOQit+WzGMi6DK7K45nrQcY/VRNI2tSGOzK1NduzUNgiubVaTiFlFDLGSFQVXjFeMjYfFq2CQY2uR2Lqf+U6lUnbnnXdaa2urzZo1yyorK3FTRlwLdyMV2vonTGnZfrrVKREQAREQAREY9QT43qiMraN+mnWBIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIjCiCNDdodvDlQnrtIjAoSCwqTtvz23P2RJIrY9sCFlvX9pSKXwVfR7iIwVWbiE/5iIxiIm4D5HmM4wyVHCiIh8DmTMXiIwUGrHmkAUUjxaGGBnmFsG7fgySrKtKBbMgx9J+ZDtu8Pm8EyIhYBZK0I6tuaIhxuPKalw4fmGnsB147M4Xiga3Y8ZS3x8uFruFeFCKq3Q951DJjYUtM5vyeZl30i16dqlm2TmUTcaPXbJw/l1xTI4xeGFUrOda4qr6rz2MvsM45Ojk7a4d/FmD5wqYXBu2Y7lfOYobthBXMAauKZgaVzNwHyC2GubV9RJka41AXI4y42oYY5G3uxZm7cW9gLnIFBKBpTK9kFx7LZLptvp4HplbK+zoSY12zNQWm9ZabZMaqywRjaIvKLK4QGb2ZWd5Jt0s8CuNlzGPhUVi6zCz7KVVbvlkck+oYdrotAiIgAiIgAiMdQISW8f6HaDrFwEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREIGXnwC9HomtLz/3sTbi5p6cLafYusHs4fVh6+tLObE1A/WR2VopseZdxtY4NEjqlnDOiqYkJU/amc6ChNVZEC9x72YhMobQPoKsn2H0RS01i6ygWYta1jVBXfTj5EuImE6mpPhYkCFDFFtpnlKyxMpx0UMwFo64cFgnTQYbPrpC1nQLzweVCocc2P3DNXHrOkD/LGTfiIfj8z9InnB3g5U7+BdGGXVdJ9i62L0xSgUV5fjnqgbV3Zh7Pbh4KHuiS8aAa6Ogii+PdT1HMFAE5ZRbA97BiJSEI+Tu2oUtkw904cABRFsydGfxgH13bYXrCYLivGG+MEfu22optrI/xEr2EVxbFJlbY1jDkFvDCCCXT2GucCdgLrJZfMMt2qbSfZZO9Vo21WUxZPWtRSLf9qZKO2p8rc2f0mBzJjZYc22V1SSRARb9u/nEIDkntkIXxlguZh/rGNlKbC1jovnkcy8ohbqSW8uApipjjoB7k5L8PebmXRcsAkMR4GuCMrYORUflIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACh4KAxNZDQVV9DiawBWLr8zty9sh6s4c6mbE1EFvTlC4hU0YhQDJ/KIXUDATXLMREJ3bibChHWZKZRFFEWxXyYyBXoiXtTLSl2BrCV95T4kxDbM2EYugLdZ30CJuT+1gokobQv9unXApD1AmmGM/VwANFWbZjG1/G+oHEyb1gYUxBHDhXUnFwvaAXVyGQPNkr20LqpMTK7KtZxOF8AZzgc5KaqYsIkidFXhqpjDWMcxw0iy175PXua6FMytXJnXSTIJIyN20qzesylzWVoinXHHkghki2B1JrBmNwRjAX+YilueV5l2EVEjz9X5znGlwEtmSIFY2QORfnHW6Mj7izOMAjLgF1UIWzGkWm1Vg0ZrEYsrciU3QedbLI2pvKpJ3UGoitKUtDbs329Vgu3YMp7rWGhFlbdcQWTGvC2mKzJ7Xa+IZqDIi+0S/7Jmv+5+RgSK4OFh7HyiKxtYyZppyzZcsW2PV97h7m3VMqupbRhaqIwKgl4EXviooKq6urcy/Yo/ZidWEiIAJlE5DYWjYqVRQBERABERABERABERABERABERABERABERABERABERABERABERABEThIBCS2HiSQ6ma/BPrF1rw9tM4gtqatL521FKVLGKsJyI10VKlzUqQMxE2YknDQvDRJcTILMTObgSFJ8RX1c05qRFsomJQ8c5BF0/i6+xyEUTiT6JPZXJnJNRAr8xBnUcpuA1+UO4wBY0bRZYT2JepT7eSp/gW6ZPEYO9z3BYXDoDAo76/Kk8UjJ7HykCVhiJdO7ISAmsOYOQi1LrspPTuIoHnIrG5bkEbh7TqxNY94s4iTfQwttjJeXDPlWdSP8OKw5DLQW8GO2VIDhiCDTji+pbvRIc4jLuRtdcKry3zKLKgFsZXyMMVXiq0MK4sx2J4esBOQIR6HuLprzkM5hrSKPintoqKTWyOwY5mxNR6PQ26NggGztuJeSKctnc1YBuJyKkOxlWuPZVJY+7otgTmuimRsDrK2zkXG1ldNa7MjxjVYXXXSknHMN+Jkdl4qvxRbeR3uJnFXPjYeJLaWMc98Ynz3u9+1ZcuWQRinhq1FBPj6xBc2vPpqcQROOukke+tb32qtra0iIgIiIALuNVIZW3UjiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIvJwEJLa+nLTH7lhObN3OjK05iK156+nLWm8mZ31OQM1bdSQLuTVvcSerQqSk3AlJMQ/hkQZlDrIkFbRetOvrg38UiUG2hACLDKOULaNhyKEQNpnpNUMJEyJnRTxvSZTHUScKZynsBE60yULaRBZYJi/tRTnbhSFbVkRDloAMS8kyx7GdOhrMGZ2n0oXZSFlWLMfpYv1CVR5T8OTK5lyziIFJZxENRMwQMpdCwOQ1YM1jpVjKdmkIqL29KcTJdkH+Vgq5FDXZPYVebvPY7mtx5/AQiK1m8D7BCFovJV9cLzO4Ikcr2oM1RNIshNK+3m7Ehn7BlhlauVagXQLiKVlTJIaCGqwYN0UXFvFlcszuCoZYeXF5xE6ZlopYGtcTiK0oJzOsEZyIor94Ig4hNW4VCYyHaFJIoNmXQeZWxJLKpgtya6+TW9MQW3MQXC3daxNqYtbeUGELZrTa/KktNmNCszXUVFg8BrkV8YUxhhNbcW0uiH0BGqVlElvLmFg+aSns/elPfwqytvL247OzjGU48bGcfgb3UU6b0tBK23PfWeOlFQ5gn+25MoYD6Yt1h1rKuZ79tff9ltMP6w7uq5x2vk05dX08g7elffh9Hw/7Lbdv35bbodoMVT44pr/n2Mfh+zjnnHPsy1/+ss2YMcMXaSsCIjCGCfB1SGLrGL4BdOkiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIi8AoQoMsQQWpLrswgqUUEDgUBiq0rILYugdj68LpcQWzNWx/uu3gsZM0VOWvEV803wnGMQfiEY4oF5iQE0yzE1m5keN3ZlbLObV22YUePRSvrLZyodHInqkOUpHIJwZLCKPqsiIdtXC36S+StJpy1GORXaJxOas1kQsgOmrfdkGQ39/QhqygcTkiR42qS1lwVRy1mI4WxWbKwzC1uEzhL/Iw/WHmm9Lw/Qhl9MQqd2IU/at2wQXuwMlttDPJtVQXkTifU4iIgtjqpFr3t2NNrG7fusp09GdvTh4axJC4ygUy0AITnLGXZYJTCuAyhZMGoiIjZWtE0krfauFlDMmRNlRGMR0m1P5tpCCLp7q5ee6Zzh23Hl7OHwLWiImlVyYRNrAlbcyUEXIi/UGAxLueE12W2HbFt787ati60T3G2SBgD4h/H5WsL3GUny7K+E1thJ+MU+sIcR5G1FRlbKyG4RvHaQ+apDDL5ckVM6Swytmb6ILb2WgaZW7OpXsun+yBB560eBvKMthqbNaHB5k1psmltdTaxqQYCL+af/aM/yrVjbZHYWsaM80lLsfWPf/xjUWwdLPUN1Q3b+rrc8tgvped82VBb30dp+6Hq7qv8QMbaV/vSMh8Ly8qJZ6ixfT/l9FE6vt8f3M73588f6q0f/0DHZX225cp9f3wg8foxh5KU/fkD6fOl1PUM2Pb973+/XXLJJXbEEUcUr+2l9Kk2IiACo4MAXx8kto6OudRViIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiMDhQoC+hMTWw2W2Dt84N0NsfX4HxNbOnC2G2MrMqz2ZvPUic2hlRdgm1+ZtcrXZJEiUVRAXKyhHQlVl1tYMPkvfCtGzc9see3rNZntu/U6LN463WHUjHKIoMp9GCmIkxNYcpFYIow3oc2ZzyCbVmDXFcpYII2sr1kwmAlEybD29WdvS1WcvbN/tsrZGkNJ0ZmudTYccGUisJb6aw144dhs6TIED5nwmZ20OnBued/Yn4qfYmkOm1jSymW7vTkHQ7bPd3b2WgEzbUFthdZBba5IQVnMUW3G9kD434FpXdGy1Doi863dB6EzWYq22XAz2bwgiOmRfp64GAw0c3I2Ms5BXY/BXk9G8ja8ym1gbsWnNSatm+lbEQ+2TgmwE8ujG7Xvs9qc32Zrd4F5ZZw111dZSV2lzWyCQNoAphWNkaQ0hG2tw7WbrYMF2bO+1VVt6bFMXMsxa1HKQig3ibBhmK7PF5rKYRWTH5ViOFcTWPGJnJ8wcG4WIWoWsrS7bKtqmIbT2plOWQmbZVC6N+YJ4nMVKsRXl2RTMW2R1ZebZppq4TW2qtOOmNiJzaxME12arTqIvCLPMhsvMsGNNbZXYutdTYe8C3oiDxda9aw0sKRULaU3PnDnTmpubi5Ir++RSWm9gD/1HWTwJ1q9fb6tXr3aSkG/bX2P/exyDMbS0tLg49l9732c5Zh9SJD/66KMuBl+rnFhKr7GmpsaOOeYY17y03Pc31NaPs2vXLlu1apXt3r3bvUAMVX+oco5ZV1dn06ZNM8ZSzuLHZlvup1Ipe/HFF23z5s0DYvD19tcn++DK+Zg1a5Y1NDSUdQ/sq8+lS5fa9u3bB8zHvuq9XGUSW18u0hpHBA4PAnxNlNh6eMyVohQBERABERABERABERABERABERABERABERABERABERABERABERCB0UKATobE1tEymyP3Ojb35J3Y+igyti6B2Nrdl7EefI99LyTE2qqIHdkYspn1hhWeEsTW6jDERwqjWNJYO3d02fPrt9tfl62xR1ZutIpx0y1ZPx5ZP5OQI+PuHs5mmSE0ZDXIADuuKmzHTQzbEQ1mbUmIstE0so72IWNrFFlAI9aNTKPrdnTbUxu22h54ZmEYoMdPbrH5ExtdNlFmHOUSRDBwr+ix4jP+QIJ1VYMHOpslh5AAUICssxBJU0hfunFnj23Z2WVbd+y2ZDxqLQ3V1lpfBUmzsii2pvJhl5n22bVb7clVm5zMm6tstByy1OYS1RaOxIKspBh/KHEziAGSMFjUQ/I9sgmMm+N2ZGsS2VujCIk+Fjw8RBtFRtQXN+ywa/+yypZuzVm0ptnamupsckutnTwpavNboxBvQ4YkqRBqIRvjkijqrtzYBcl4tz25dqet3p6y3RazXDRuYcillFq5WhZZXHE9jNN5YpBambkVHbhj5o1lltUE7oNEIoasr3lL43waki8l10wOMqsTW3sth2ytWa6pDJLbZiGwIgstMtBS1j1mcoOdNK3NJjbXWHNdlctKyyyzfH0bS4vE1jJmmzfigYqt7Lb0Znrzm99s5513nk2ZMqVYXnp+f2FQDHryySft2muv3Uss3V+70nMUKY888kj7/Oc/b8cdd5w7Ndz4vG5fh/vd3d32hS98wRYvXhw8GdHnUBlDS8f2fbCMUum3v/1tO/roo4t9l54vbTdg371Q4i8benvtBz/4gd122222Z8+e4EViQMX9H3CsqqoqO+ecc+y9732vVVdXF+MYqqV7ISo52dfbZ3+44w92zTXXOCb+1OB6vtxvS6+T6af/4R/+wS666CKku65wMZSe920Gb/0Y3D7++OOu/bZt2w6Yw+B+D8axxNaDQVF9iMDoIcDXKYmto2c+dSUiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIicDgQoHshsfVwmKnDO8YtEFtX7MzZYxBbH4HY2tPbL7Y2VEdsTkvI5jZhbYSsiAyjNZBbKT1S0EzjHl27dY89s3aL3fn483bfM+usauIsq2iabLFYFeRWiK3I2kqpNZ01q48jO2lNyF47NWqzkLV1YkXeKmMpiK2QI3MxZACN2J7unK3e2mWPrN1kO5Cwj2LrydPb7MSpLRbFePwae0qfVD/7l0AX5SM+3h+wsO5eminqMOMsKyNZq/XhoRMZWJmNdePWnRBbIzauscYmNNdaWz3S1eYhbEL4TEMa3bizFyLvTnsIIu9Dz6yxnni99SUgtlY0IFbIvJBGySeE/vcaF+V0SnkNTRA/x9dGbd64uM1qiSMjbRwZUiPgEMimYWRhjUBsXd6xzb7+++fs8Y1Zi9a32YSWBpvWVmentcfshAlRq68MQw4uiK2Ij7LqMx077WlIrYtXbrcVW3ptVx5iKmKLVCQthKy5HB8pXHFdjLSwgIXL2Aq3L4drxQMk3bzFUD+RQDZaBI5pxFxmkX03gzVtWWRtpdzKbK1ZxJqB2JpNY81DbsV9gqStdlRrNcTkJjtqUpPNmNBojVXITIssuHx9c2vJ+JzSwcxQNCoWia1lTCPlnJcitvqueUMxW+snPvEJt7a1tQ0rU/q23HJ8Zir92c9+ZldffbXLWOqFUvbN8+UslDh5Hf7r4v3NXk5b1mHm2AceeMA+9alPGbOFcmEc5cbAevzhgWLtTTfdZNOnTy8+4VxnwzzwOrk+/fTT9ulPf9oeeughpNNOu7JyY+AQjGH27Nl26aWX2llnnYU3BLxSlSzsa39LLpuzzvWd9qMf/ciuuuoqJ9uWOwe+X47B++Dcc8+1L3/5yy6Dqx/Xb33dwdtguvMua+0P/98P7aJFF7m5YQy+7YHGM3iMl3IssfWlUFMbERi9BPg6JLF19M6vrkwEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERiIBehMSW0fizIyumCi2Pg+x9dH1eXukE8kCe9P4yvmc9cFJaqoO29EQW+c3m81H5tb6WM6JrSQAy8oyUDjXbt1tz67dbHc8+rzduxRi66Q5VtE8FQ5TJe5fZAlFdk7oSRAi88hImreJtSF7HaTMOS1hm1iFjK0RiK1hfI095ctc1Pb05GzVlm57cPVm245v5A5BhXrDEa32mvZm9xX2ThqF/hgsXszkMQVWxhXUoDHlBFjKSU6f4hF2XNOgJlOcsn4gtvZYJ4Ta9Vt3WRIy7biGCmQZrXWCawiiJrROCJth29WTsU2QWx9a+qL99W8rbUNvzLbnKi1XBYcuWW3RWBQOKOg4sZXDBQIn42UEFF8TYDKlIZBZj52QtCOaYtaSZIZUjAKxlRKpq48sqMwO+/XfPWOPObF1nI1vabT21jo7vT1qJ0JsbaDYGoNDhvgMYivXpR277MnVO+3hldtsxWaIrbm45ZzYWmUhjM05cVIrMHgvKxiRx1gxYXkIrCG4dJRg+ToUjmLFteXAgmJrLpvGmsJKsbXXya0ZuG+ZTNpldEUnEJZz1loRsSm1cTt2xjg7bsZ4O6INTJEJN4L++BqHBMCOCwd24fMI5e768cA9H5srPEwfJLaWMXG8Gf8esZVD8KYaN26cXXDBBfbhD3/YZS71EmIZIbgnBL92/rrrrrPvfe971tHRUWzmnyzFgiF2OF59fb3LVrpo0SInVvoY/HaIpsXiFKz+3//+9+46Vq5c6co5vm9fTix84p522mnuWiZPnlxsWxxkmJ1MJuOk1vPPP98JthRuuZQzNusxVsqsJ510kl122WX2+te/nsVu8dfhj4faUtZasWKFXXnllU7SpWDrl3LjYBbdiRMn2oUXXuiy+TImjs/V9zFUPP4874lvfetbdvnllxfbMA5/3sf0cmwlth48ypy/oeb+4I2inkTg0BLgfSyx9dAyVu8iIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIDCfCzdomtA5no6OAT2Nqbt5U7s7YEYuvD6wxiKzK2ZiBxwgXyYuu8JoityNraADG1ppBzDxolxNaQdWzZ7TK2OrF1WacTW5NNUyEuViI5XgwrP29HEkIIjDUUW5Gx9XXT4nZ0K8VWs8pIBplY6SoxW2nEdvdm7YUtPfbAi1tte2+Kxfb6I5rt1e0N/WIrpEnYnxCnIEc6dRRZZJHhlAYkesO5QtZUyJ4UTHPMZIoyJiLFx/9YuEM1F+fwPOtDd53bU1h7bAPk1kqIohOQXnZCc421NVZjJEqjgTjbl87bHjB6euU6e/y5Nfb0uj22amfe+irHWz5ZZ9EkMqMiljAi4Qgc10KFLKw4qoyHrTYRQSbTpM1uq7A5rXGbVBsBB2RoRdU8Y0VMboEk+kzHdrvyf5ciY2vaonXjbBwytk5trYfYGrMTJ0atEWIr42ULyJPu0ii2/s2LrZt6bHc2ioytFRauqIHUCqcLYivz3hJD4cENV3wAqDwmLY9J895WBFIrpV3kuEUZxVZmsQ3k1iwEXCe3wjnLZlLIvBvIrxSCk5j/GmT6PWpik82d2moLpjXakePrrLoyCYE4Gswp4iYpL7ZyThheIUrO9GG/SGwtYwp5s1Fs/dOf/uSyc5bRZJ9VKDJS5KSI+OY3v9mSeFKWK6/5G37Lli327W9/20mhmzdvduP4c/scdFAhY2hqarIPfehDTk7lPsvKXThWV1eX3XrrrfaZz3zGdu7c6Z6MLOe1lBML68XjcTvjjDPsP//zP53kO9z4pf2zfR/+uuDuu++2z3/+87Z8+XKY65nhuiie98wZwymnnOIypp5wwgnFrKn+fLHBEDuUWR977DH72te+Zr/73e8GXHs5HNgtZdZZs2a5PniP+ev0Q+4rlsF9U26lMH3jjTcWJTLf/uXcSmx9OWlrLBEY+QT4WiWxdeTPkyIUAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQgdFEgJ6FxNbRNKMj81q29SJD6q6MLe40e2Bd2LphefZCbM0ha2hzdcjmNIdsHqTWecjY2ohvpK+JBdIhJdEM1g5kOH22Y4vd+dhKZGyl2Hq0JSC2hiKV8DnDFilkLuXVO2G0JmyvnxZDJtiITUT/ldGcxZDhlCYjM7vuoti6tcceXLXDtiE7KpKk2skzGuzE9jonOFKAjBTE1jzFWR5DIY2Eg+yi6RAsT/RFSTRMeRV1Mzlkl0Xf3DpXCQ5AkHMW8ibqOrF1V9Y27Ezbxh3dVhXL2+TasI2H2NraUI0aVFS50B3IQ9w0W79pm73YudnuemKVPbp6l+1MTrBMstHilVXIykpJFXInTE1mhA1RbEUHEVxnAzKYtlbH7BhYvfPHV9q0emTGTVLEdZapi8cNhQd+E/eydTvsG//7tP1tQ5/F6lohtjbaZIitp7UnILbGrLkCDHnJjJDXhWt2GVvX7LCHkLH1+U3d1pXB9UM0DlXUIwMuxNYwsq+iOq/JoWBrHvgFhYWu8M3bUFkRRyQahthKkZhSMeRWZm3F6uTWNGRWyK05SK057OeQ7ZUrs77m4MFRdm2tq7IpyIB76pxmyK1NNr6p3mohtyYwURFcdZhjIghMEVZKy5zDQFAu3wb0FzDythJby5gTPjkPhtjKoSiRtrS0uCyfzBRKuXK4hePzjZdbruvWrbOLLrrIfvnLXzrBk2XDLV6QZF3GMH78eCdDfvzjH3cx8LyvM1xf7GPP7j3229t+a2zf3d3t4vLthouH41N2SiQS9o53vMN+8pOfOMFzuPHZL+v4/imWkgHl1g0bNhTLfRz72pZeJ/sh/3e+8532pS99yWbOnFm25NsfQ8buv/+vLvPrPffc467Ln9vX+IPLyILrcccdZ1//+tdt4cKFxWscigf7DzgEL5Bkyes/55xz7L777jvgGAbH9FKPJba+VHID2/XPbzDPA8/qSAQOHwK8lyW2Hj7zpUhFQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREYDQQoE8hsXU0zOTIvgaKrS/uStvD60N2f4cXW+FvIVNqc1XIZkNsndsULmRsDSHrKq6H/iT+o+LoxNa1W+z3S1ba3RRbp8y3ROtUCyFDqBM6kd0TO5AWI1aFr6afAJn1FGQbnQuxdRIztiKbZ9xJlcHn8rshs65Exta/vrDTNnZlrBem4/GQWo+ZXEtF1AmgToLEXg5iKzOCUo6tRTbYJKRbl7EV40XRJ7O1UvTc3ZPGmrWudM5SCDrvMqiiL2RWpbKaQrWNXXnb1pW1XV0pa0zmbXp9yCY0VllrPa6DF+zWwlzicFdXj23dscfufvJFW7xyi63prbJdhgtKIMMr5NEwsqIGlBgIBF+YpHHEOh4pb9sb4nbsxEqbO67SWiCm1jgADmrpKBB9c/bMup12FcTWJzakLF7bbG0QW6e0Ntip0yC2TqDYGgjDGATDwc8piK1/o9j6/NaC2AoVNUbYEFsjsRKx1YEvXJTf8FpdV0AHjdWJrVlcD79VHGIrhF3quhRbA7mVWVuxQmzNI8NsHplcvdSaRywUWzOQXZMxZKpNxmwOrvvoyfV2TPt4m9JUa41VMUug3yizyDJlKy+DYWEOw1jxz827C+owfpDYWsbkUc45WGKrlxUnTZpkv/3tb23+/Plly5TuWYgbj6LQmjVr7Pzzz7c777zTKHgOt/hxWY/7lCmnTp3qspVSiPTlbqeMB8bA7LE//OEP7dJLL8UTki+7wUJe5S61tbV23nnn2VVXXbVfDr5Pfx085n4qlbKf/vSnLnssM8kOt7ANV98f61NuZQbbiy++2CZOnOjOD9ePH5/1GMNvbv2Ny7q6dNnSASyG64fzwL5isZiTWslh7ty5+2XBPkvH5zH5r1692smtixcvdvcIy1/ORWLr30+bzysu3Hrp+e/vVT2IwCtDgK9TvJe58jWKx1pEQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQARE4FASoBMisfVQElbfJLANGVJXI2PrQ0WxNecytnqxdVZzGGJrCGJrGBlbIWEyYyuERYqtfPRi6+2PvGB3Pd1pldOOtWTbNAsjSSBu4UCARIbQUDhqFeGsTYBfedrUmM1rCdukSrOqKHwn1KOQmUWGzz2QUFdu7ra/rNxla3ZmbFuf2dGT6uyoCTXOg2LOUIqtyCFqGWRnrYPQ2pTIG05bAzKfZiHQcuAIpFXIhO7z/Q3bupCJtce2dGdc9lIKsUHWUsix6A++q23vC9meFGRdpHYdjxhnNZpNbEhaW13SXS8eQIuBQrTEmkXm1t5Uxh5YttYefn6TPbm+zzb0RK0vWm0GqTccTzgJN4Q4KPXGIG5W4UKn1UdtTmvcZWud1ZqElIvrL0lJWuojcIxnOndAbF0WZGyF2DquOcjYeuq0pBNbWyoo9iI6ZjkFwxC8BmZs/dvaQGxdsakLQi94xassVNkAYRlmMuaD2VBxGUMu1CLySJfLbK30JMK46CiytoaQdZZyK4xVOBQFuZViK6RWwHOrE1sZCzrJoowZW7P8BnPUb4DY3N5aZafMmmJzJzXZ1OYqq6lIWBLOG2bOSayc3SBpK8crP8HlkBczAk5IbC1jEnjzHyyx1Q9Hae2EE06w3/zmNy6DK48PZKEotHz5cid0/uUvf3FypW9f+mT1ZfvackxmKf3KV75ib3vb25xc6dvyBh9uYd01a9baFVdcAcH1/+0lLbEP399QfbFOfX29ffWrX7VPfvKTxWrljs8GfX199s1vftP1kcETmmMON25xIOxwrGQy6TK/fvazn7WmpiZXxjrsp5xYOB833niji2HVqlXFdixn+3Liodx61lln2TXXXGNTpkxxIZYzNit6aezxxx+3D37wg7Zs2TInRvpx/dZ1eogeJLaWCbbwnu3vLT83FNQfeOABu/76691rwqc+9SmbNm067p8y+1U1ERhhBHhv8zWQq3+NGmEhKhwREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREIFRRoCehcTWUTapI/ByyhVb53mxlRZqnmlP8Rk6ZM91W3fbcx1b7PYlq+yupzZYZfsxVtHablGIihRAXWZPiqQQKpPhjE2ozNtp7VGbh0ywE6ryVgGbMYaKFFspRHb19iHLaJfdvXynLd2Ushd3ZG1SS61Naq5B1lNkQmW2VfgqWYtCbI27DLDttXmb1xaxyXVIyocx+dxxY4N3DnLostWbbXnHdnsRluzWPsiaERi1UcSHzKqwqSyH+r05BIL+K2GZHlEftmNbzCY3xKwNGVZ5rXhwdTmFHJ/KDMXT5et32JOrt9pflq6z57elbVe43vLIjhpKVPUngkP/VfGIjauN2uyWmB07Lm7TG2M2CcfRQqzsl4t3b7jP/p/tRMbW25dCbE1ZrFRsbU/YCS5ja0FsxXVQJGWsy8oRW1kf/+1vyQEm+QViK5xYyLkRZJ2l3FrM2EqpNRdkanViK+aQ80i/Is/EYQUBNpcJymHeWl1lBJlba+2YKU22oL0VmXFrrLmmwqLw/+DOunuB88d5DNFDpOV6mC8SW8uYQN78B1NsLZUVTz31VLv99ttd1tADlVsZ+r333mv/9m//Zk8//bRR6mQfvMmHW0pjOOWUU1zm1pNPPhmWOF58+ITFUlpnqP5Yl4Its7b+4he/cDH49kO1GVzOcdra2uzqq6+297znPe4HjHLG9v14aeoDH/iA3XLLLcXrLycOPw63lZWV9v3vf9/e9a53uX3f3tfx4+1ry7rM3Prd737XXcfGjRuL1Xw/xYIhdjgOBdt/+Zd/scsuu8zGjx9f1hywO47B9pQjKTq/973vta1bt7rycscfIqyyiyW27h+VnyPWcnOCpxnv3a3b8EaNOfvRj37ktryPOH9f/vKXbcaMGWXfA/sfXWdF4OUnwPuc97h/jX65Xote/ivViCIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiOFAN0Jia0jZTZGbxwHIrYyI2pNLBAP85Bb+VXz67ftsRWd2+yOx160e5ZttIpJ8yzZPMViccisTmyFBBtBo0jCEqGMjYfYunAqspZCbOV+BbzRKGVVqKrMANrd02srNnbZXc/tsMc6+2zp5qw11tdac0MtXDL2yZytlFGjyM4at/Y6s9nIrvrayVE7CtllaZ1yXH6NPa0zJGC1R57tsMdXbrJnN/bZxp6IpaK1lo8jq2oM2UuDypaH1JpAzM3VMTu6OWInjjObAlF2XDX6dCIvxdbg26xLvZnNXcgwu2Gn/enR5fbUuj3WmaqyNLK2hhJYo8jaGo05IbQJaVWPbEam1nExO258zFoqw1YPns7ELRFMS30EL7Z+83fM2OrF1gaIvvV2KsTWBROiVszYitgwIU4KPVhiKzO2OrEVoir9Upe1lf4vs9DmkbGVUqsTW5G8EVscBDIr7os8HQtka82zzImuWQiyyAacphOYs5ZayK0T6uzVM8bZrPENNr211ioTMauIQW51pDE1FJ4lto7eF5/BV8ab/2CIrV6QLH0y8c303e9+NzKe/tCqq/Hk5BN/mMU/0SkLcfn973/v5NaVK1e649L+XcEQD6Vj/fM//7P9n//zf2z+/PnuDZ59lyPaciyu999/v1100UW2ePFiJ7dySB9nOfFwrCOPPNJ+/OMf20knvRqCLZ7RZSyD++Z1/O53v3PWO69v8Pl9denrccv1v//7v+0tb3mLVVUhR3aZC8fhumfPHsfhhhtusO7ubid08dr8+eG64/h1dXXGzLFf+MIXnGDLsv0tpXPFfY513333uftq27ZtLob9tT9Y5yS2Dk+Sc8O/yOjt7bUdO3bYHXfcYd/4xjdsxYoV7vnG81wktg7PUjVGPgHez3xN4qqMrSN/vhShCIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIwGAnQsJLaOhpkc2dfwUsRWmIpO9qS8uHFHl724YYf95em19vCKzRZvO8KiDRMsHE8E0ii/rh5Cah4ZWxORnLUiWeprJ8XsqCZkMK2wYsZW99X2+Dp7iq3Pb9pjf0LG1kc60/bk5rzV1NVbfV0tjEqKrcja6izLiOUiUZtRk7c5DXk7ZUrEjm5BplZ+jT30JEqRWagraWQcfWhZhz2yYpM9A0l2Q2/ceqPIqhpnVtUkKgZh5tFnZSKCDK0xmw/p9jXjIbbWmI1DVlnGhgvGfxjTZTGFi0b5EoJnTy5sG3f22INPvWBLVm2zv23MWnce147+LQEZF5lbq5JRm1wfCK3z26I2ty1mSehkUadRsad+n8r7NrxrvNh69e+fcWJrvKbZ2pohtrbW28L2uC0YH7XmZJCx1WU1xbww820gtu60h57faiuQ/bYrDeeB11vZAMEYMm84giuhHtw/7r7u0kBs5ZUXmKI68kzidSlgQnE1m01hpeCKeUZWVhwUekUdxEJZOYt5daIr3Asmu8xQFKbcWhO3mS3VyNrabCdMb7FxdRXWVJ20uMsMG3ZysnPN9h/mvkIfcWXK2FrGlPDmPxhiqx/Ki4rsl/tcL7jgAlu0aJHV1ta6Y193qC3b+vYUhn7605/aJZdcYh0dHWWJjD4G9s99Zmp93/veZ//+7//uBFO+yZezIAy05/Mra3/84x9dDI899lhRbi2nD9ZhDHwBPeGEE1zmytmzZ7sfNIZtj/H5zKY4xT62bNniMq7yK935pC5nKRVP2UdjY6PdfPPNxky2sRhf3Mt/pnNOGMOFF15o//M//2NdXV0uNo7BGMtZOB6ztVJsPe+885xgW04MHNsvlCZvuukm+9KXvuQESl9+KLcSW4emy7lhJlaKz3yO/uQnP7Ff/vKX1tnZ6e4Lnufq5/mcc85xGVunT59eLBu6d50RgZFJgPe0xNaROTeKSgREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQARGKwF+7i6xdbTO7si5rgMRWxsLGVspOkIOwb+c7diDLKjbu2zp6s32XOdOi9aPs0gVUqgiGyrv4TAzuyLLKtKXuq+Zr4NLOgsZUSchE2pDImQJZAKNoB4zwDL7Zw8SrD2/cTcytm63xevS9gTE1uq6Bie35sPoE5lVWT8EHyyPdUZNzo6uz9mpUyM2twWZX/FV91RFscNHJ7Y+uLTDFkNsXbopY529SeuNNUBsrbYwvo3aZXhlTSe2Rq2tNmbHoJ/XjM/bVIqtyCobyiEbKerkcQ15iK0UTgOxFcmxcG27ezO2fO0me+yFLfbX5Vttc0/YuiC35pP1FqushbCZhMCJDKsTIfQ2R21afQTtgyWQWvt9LvoJfvFi6zV/eNaeRMbWaEFsnYyMrae0x+x4iK0tyZwhGSwW9oje9iu2Yl6YPZcMndbaP64fs3RLsZXhcJ7ptIUg8sZjfF1iWZCxNZtJOamVAivF1hzFVncNvDIwQ7bWLLw39uG8i3za0qiTQirdeBT3ADLXzp1QY6+aXG9zJjYic2ud1VYmrALZc6OQk5l5F/8O+0ViaxlTyJv/YIqtfki+EHmZjQLlV7/6VfvUpz51QJlC2Rf7oMTJzI/f+c533FfQl0qUfhw/7lDbiooK+8xnPmOf/OQnbdKkSYGpP1TlQeWMgeLer3/9a7v88stt2bJlRWFvUNX9HsbjcTv11FPdtRx99NH7lVs9u9IOed3PPvusk3SXLl3quJRz/aV1KKHOmjXLbrzxRjv22GP34rCvcUtj4PkXXnjBSaW33Xabk1tZdiAL42lvb3eC7Nlnn201NTV4wSn/FYfjrV+/3r7//e/bD37wA9u5c2fxXjvQWMqNW2Lr3qR4PzI7K2VnCt+/+tWv7M4777TNmze7ypyLwfPBeaZkfumll5rE1r2ZquTwIcB72/2AheeBMrYePvOmSEVABERABERABERABERABERABERABERABERABERABERABERABETgcCbAz9wlth7OM3h4xH5gYqsZvE8InsG10SDqS2WtqzdtW3b12jZIrtFkJbK1QhhlVlDcw1EIjS4zKCRJWIrGL76uT0BWjeUtieMIVi45SJNZ1O3t6XFi65+f2WKPrOu1JzblILY2Wk19AzK0sl8IshAmw+g/hOSH06ozNrsuY6dOi9vcVgijbjxIleiWamUWn/c/uHStLV6+0Z7amLbOnoT1xJuQTbXKIhBbQy4bKaXViFUkYhBbEzavNWyvnRBCxta8E1vDkDgpa+ZDyDwLgZTpAClthiHRohiiZt7JrZR7//joC/b8VozTBfE2WWcVVbV2FMTNuRMq7fgJcZtUG7EmCMJkx/gGO1Sl7o0TW9fvsm9BbP0bxNaYz9jaUmenTC2IrYlAbM3jghkj12Xrdtnf1g7O2IpvXx+QsRUSMP7b30KJlzG6i+QerjceD2MO6QkyS2vaMmmIrcxoC+65gtiag8yKQswR2mKfcivL3GppiMFwL1IhcMtZKpS2tuqQtddF7A2zJtmCaeNsQkutNVQlLYGbhVlteR8d7ovE1jJmkDf/oRBbOTSfaOyf25aWFrvmmmtcxlEKnoOfhPsL1ffBjKsUGbu7u12/vk3pE9iXDd76WJjl8/zzz3fxsIxiEmXPcpbdu3fbDTfc4K7jxRdfdDGUM7bPmsoxqqur7W1ve5sTQ4888sgin+HG5zh+feKJJ+yDH/ygUW5lmWdZTiysy5VS689+9jObOXNm0B6vjjnXVzBv+4uH4zz66KPuGu655x7r6+tzceyvzeBzjGHBggVObn3Tm95klZWVxesYXHdfx4yBc/DNb37TSbrMHuuv32/31e6llo1lsZU8OV+lXHft2mXPP/+8PfXUU3bLLbfYXXfdZel02j2XKPkNtbAfZmxlBuYZM2Yc0JwP1afKReCVIMDng8TWV4K8xhQBERABERABERABERABERABERABERABERABERABERABERABERCBsUuAn7lLbB278/9yXbkXWx9eH7K/doStuw9yKbJpIqWnNVeFkF0VGTWbwjavCd8cja+97xdbnRKK5FB5S6N+Xyrj1hC+Rp4pPfMQTyl+RiEy8uvp8aE7xFR82zTOJdE3/EgIi3ig8AqBMof7HeojMrb22Qsbdtqfn9lsSzq67cmNGauub7LahkbLRyuCjK3I7kqxNYz+2iG2HlWbtoXTE3Z0W8zlLQ10TLhX+I9y6ENL19gjKzba05BDO7pj1hVtQACVFkkkINbSk0EI6KsymbBWZFed1xq11zix1aytEi4txqMwmmUGUwiwlEgjiDWMiLlwjBSQrd202x5d3mlPdHTZ39ankLW2Eu5Ylb1qap3Nn1Rtc8ZXWHNFuJBh1c/wQGmz1Ndhv89BbL3mD8+BQyC2tjbV2yRkNT1lSswWIGNr82CxFde8rCMQWx98fqs9v6nLujgF8SontoYicScHD8zYOjAGRubEW28w44hMkboWGVsjFoNtmkcW2yzF1kyfy9hKeTUPUZVuBSVX9uB6xb4TW3EP8HyImV5R12VtxXEabBMRyMuxnB07pdGt86Y0Wzvk3abqQG6NwPUbGCGjK10Gni09M1L2JbaWMRO8+Q+V2MrhvRBHuXPy5Ml23XXX2ete9zrY2oHcyvPlLIyTAuUHPvABlxmSxxTofP/l9MG6FCgp2DJrJCXTHFNBF0z/4frgmD34KwBmCmX22A0bNrgnH8uHW0rl1traWjf+RRddZBMnTixbrPVjMIY77rjDPve5z9mqVatccbkcPG/+oMPssddee63LnOn75rX4Or5sX1vWu//++42y8ZIlS1xG233V218ZxznllFNs0aJF7p5gVt1yFh8jt08++aRddtll9oc//MH27NlTvB947mAuElvxVxGptK3fsN5ly128eLHLPNzZ2ekwk3c5zDnnElsP5p2pvl4pArzfJbYeXPr+daSc15KDO7J6EwEREAEREIGhCZS+L/H/6fjzbDn/vzR0jzojAoeGQOnPUv6+1b16aFirVxEQAREQgbFFoPR91f8sqPfYsXUPHC5Xy3vVfViMgEvv28MlfsUpAiIgAiIwOgmUvifpZ6mDN8dkKbH14PFUT/smsL03a6t3ZeyhgtjaBbG1r0RsPaogts6n2IpMq7VxOCO4N53qWMzoSfmTmVlxDtk7oTJaFq5SKJSB2Npthq+rz2eQ4RNiah5iJdUtfMk8AoIkmoMimoUwit/Lw5G1XvhiKzfutHuWbbAla7uQZTVltfXNVtfYZPlYQWzFGLahJAcAACzpSURBVBEIppFo3CZXpe1IiK2nzEja3Db6aeFAboUwydemDCTKxcvW2pLlG5zYunZPxHZHal1fUSe20sNF5NGEVVZQbK1E5teYvXpCxCbXQmyF3BthXxA2M4gzRxkX8m4UVxmD2JpnplLEnUf5DmSsXbtplz24EmLuczsh8casrjphJx3RCLG1xqa3QnSF0YvhnPyJ8Oh/EkbweQT7cYUowxKIrbvtW3dAbIWUG61tsjaIrRMhfS5kxtZxEFshG1dCFHYZWzkriMdlbF2zwx5csc1WbOq2PUiomoPYGq6sNwOzIOst87Vi4KK86ibFjUsh2P0rnAshm64rwDXH41GLlWRsTad7ndiay2YcozzdPPf5ClrgWsgHJ1AHrJDRNQqZFQfWi/8oteazIUuhPIVveJ/cGLWZMIlfP3O8HUO5tbnOqiviGC/KSAuLu/P6wy6ccdfiq4zArcTWMiaFN8yhFFu90Mlx+OZ69NFHOyFu4cKFlsCLwXCLf3LyzZn/U06Z9EMf+pDde++9RZnS19lfX6W/bGpvb3cxnHnmmZZECmkupef31w/H4levf+tb37Lrr7/eNm3aNOAFZKi27J9t/ThNTU127rnn2mc/+1kbN25csXyo9iz37bmlxPnzn//cSZ1r1qxxzVg+3MLxS2P513/9V/vKV75iU6ZMKfY/XB88z7EoFt9+++32xS9+0Z555hl3XE7b0jqxWMzOOOMMo+R73HHHGY/LXRgD14cfftguv/xy+/Of/+zE43I4lDuGrzdWxVay5L1GgfXZZ5+12267zXHu6Ogozrf/ZZm/t/fHn3Uktvq7StvDmQDvc4mtB28GM/iBlFmfmQ2arzl8fyFj/7py8EZSTyIgAiIgAiJQPgG+F3H130zQ0NBgNTU1xj/I4//b6n2qfJaqeWgJ8B7lH8Dym0z8z1L8WVX36aHlrt5FQAREQATGBgG+z/JnQn6OUFVV5X4e5OcaB/J77LFBSlf5ShHg/cnfpfFnQf5ujT8XplL4cBtfv8rP57SIgAiIgAiIwCtJgJ//cGXCMa783Rp/ltJ71N83K/y9pMTWv4+hWg9PYEdvzjp2pe0BiK33dISsC6lHe9NMHGjWVBmyo5ojNrc5ZPMhuDZBbK2DF+kXpxg65zFwmCi25iAxUozMM3MrRMhQPuVkS8qNsMmcABr89MosrTAyURbKUapExlZ009uXtpUbdiFj63p7ZO1u+9uGPqupa7Z6ZG01iKKUMsMQLaPI2BrH/oQ6s+kNOTutPWLzkWk1FMJ59ErBkz9DZ7C6jK0QW59a32cdXWFkbIWxmqiyaAKfAcCyda9VkCcrkjFrq0/YvJaYnTQ+ZpNrKLZiWGQZxZWhryhWxpm3GLKXJpDtlZlmyYHX19OXse27M/a3VVvsoWc3WKKywurrkKl1coO1t1Zba3XUElFcAuLLQvDMOlkWF40+mDSSwmsIZejQxY68tPbshi77tsvY2mexmkZrbW5wGVsXMmOrE1styAAbTAF6ztvSju32JMTW+5dvs+WbeiC2YtB4hUWra5A1N27ZcAzXxIyzXPgZCOcBR7wMDo5rdVuKrQwPJVwpJMeikHpZnUyyfcjW22tZSssUmhl6oT5qsJK7DrflSVxzGFIrGkBqRcZXtsGkBz5G1iqQtbURlu7MCY02Z2KDHTO1CbJrtbXVYp74eogemSeY/blYcZNS6KVIy5yujHGkLhJby5gZPmEPldi6rw/6+KR77Wtf676K/PWvf31ZP7QwRvbFLdfVq1fbJz7xCSfY8QchlpWzlMYze/Zsu+qqq+y0004rCral54fqz8fAr2G/+uqr3dew79y584Bj4FjTp0+3T3/60070a2xsdNc41Li+nON7Ftu3b3cZcJmBloKtX/bHo/QaWY8/OH7yk5+0iy++2PhB7YH+EEn+P/3pT+2rX/2qmxf+AuVAFsbDGN75zne67K+zZs3GLwXx4nkAC39Jc9ddd9kVV1xhDz74oPvh+ACal1V1rIit/t7hPPID0eeee86Jw3/961/tvvvus82bN7s3D0Lzdbnv70nu729hPYmt+yOkc4cLAd7/ElsP3mzxdby3t9f98Qrf2/hawfVA35MOXkTqSQREQAREQASCn3f5c3F3d7d7X2prazP+gWJ9fb0+JNYNMqII8OeoHTt2FFf+nMqFwo1+nhpRU6VgREAEREAEDjMC/P0PJUH+TMhvgqurq7Pm5mYnuPqEGYfZJSncUUiA9yc/p9m6dav7nIg/G1LI5mdxlFu1iIAIiIAIiMArRYA/S/EbeblSaOXv1FpbW53gyt9X8HMgLS+NANlJbH1p7NSqfAI7IbZ2Qsb863qzP0Ns3cOMrRRb8dRtRrbSI5sotoYhtoaQHdSsvii2wt8qKFzeKXGZXJ3ASvGQz33KpcE3dDOTKrN5ogACIhsWxFaXYTX4qnl+E3dvX9ae37jL/vRMpy1es8ue2NhntTXI2IpspSEkojAIrSEEF8M2gXV8Q8SmIrY3TsnbMYgzFMLvSik5ujiQLBYjPfj0GlvsxNYe6+iOWE8Mxmq82qLJKgiTyPCKfpgxtrIiYm11MSe2vnocxdaQIckq6qTRCyRZ5GhlNtseyLcxhJKMYRxmE8W1hiB6ZiFp9qbD9sK6rfb0yvVWWV1ptbXVNrml1pprk1YNLzfisp9C4E1l3NqXhr6KsVkvARnYiZ/gQKYZSLpebGXm2ijE1raW+oFiawW+0ZzGJ35VzN8WU0ld1rEDYus2e2D5dlsOfnuyMQslkhavqrBsNGmZMLLm5tLIsstpCmRgaqP5QmZW/Eld0JPL2Ip5xJZMndgK+5bTEIKYms+lLJPm/0tjy4ytqMfVL/6+cDcKrofHIdQLUWjFfZGD5JrFMaVgiJ/wXVPgk7OGmgqb0VZrx09rguBab0eNq7Mq2LQJSLUhdz9hfATDOcthG0F0FF/7R/YRjJytxNYy5oI3yKESW4canr8EolD6pS99yRYsWOCezL5uOT/A8H/U+VXoF154oZPt+m96PrkCAdb3N9SWLwAnnXSSy/T5hje8ofhhj3vCFPoYMha+puK/p556yrVn1lL+NWxpHEON68v9h0vMYPu5z33O3va2t7lfjA05pm9YsuV4a9eute985zv2k5/8xCgDcfFx+G1Jk712GQd/Ibdo0SL72Mc+5n6o9O3KjYX1v/e979mll15q27Ztc2P4PvYacFBB6Rgf+chH7KILL7LJUya7+Sg9N6jZgEOOxQ+b//d//9euvPJKe/LJJ51wxnL2UW4sAzoddDCaxFbPBbew+6sYMvKceI5ZkR999FHHkVlwH3nkESe5so7/gHQQnrIP2YfE1rJxqeIIJsDnisTWgzdB/KUGPyhav369ez+lNMSfFfzr08EbST2JgAiIgAiIQPkE+F7PD4j5h4z8Iwxmaq2trXVyq7Iflc9RNQ89Af7/MH8fwC1FBoo2XCm28kMOLSIgAiIgAiIgAi+NAH8e5B//8/2VC38e5O/S+TsL7msRgZFAgJ+X8f9XKLZu3LjR3ZulPw+OhBgVgwiIgAiIwNgjwM/RuPpvmOH7FX9PwW+y5e/X6CjwMyAtL40A2UlsfWns1Kp8Al5svR9i611ebM0UxFZIk15sndcSdmKry9iK5z2f2bB08EiximZVkEsz2IeoyMycECT5VfQhZFYNIUsojlwL6IguQHwXFV4jIHOiLf9zrye9gdh6F8TWhweIrY2wQim14vegeG2JY5vEOo5iK2J74+QcxFY6MZA22ds+xNYn1/fYOoit3RBbQ0WxFVok+qMkWQGxddxgsZUZW0OQcxF5Jhe2PT0p27arC8ljkX01GbeqeBSCK9XKHLycEDK6hm3b7l7buG0P6sTwh2gxq6+IWnU8bMlIcP1wY5HZtcd27O6GJNtncdSbNL7ZqtGfE1sZO5hmwYdi67f+sMKKYmtznU1urbNTpsaDjK2YowrIpkiG6iRe5pal2PoUMrY+vHynrdycsm6IrWEkIoxXxS0PsTUXRkZtJ5gigyqytVINpbwaaLGcG8wUJFfmdOWaxzXx9YiZUWMDxNY+y0JszQwhtnKSeR3BEtwnlFo5N7hBkK0VYiuyvaKSK6Pkmsd5yr/NNQk7YlyNHTulyRa0N2NektZYnXDzwDgi7v0lCNvdQyjjHTlSF4mtZcwMb5aXW2zlk59f23PWWWc5ufWoo44qRlruDzD8i1NKd5RjlyxZ4m760rb9T4Ji1wN2fN03vvGNTk49/vjjXR9s58/57YCGOPB9c/vwww/bV77yFbv33nvdL7j8ucFtSo9L+yULjk1J901vepP7pUPp+dJ2+9rneMwey+yzv/jFL9xXzXj5sJxY2Cdj4A+Rl1xyiZ199tnur6QYw4HEwR9KmbWVWWz91zPtK97SMt8/42QM/IXg5/6/z9ln/n/2zjw2rrNc48+s9szY43W8xnbcdCEpSdrShW6Xe1t6xX8IkJBAKleCW/4BKrG0EqIgQCBoxU1pWaSqSBSJIpY/bqmq6tKE0r2ltGmSutlXJ7ZjZ3O827Pd5/nGJ564tjN2PIndvF9yfM6c5f3e7/nOOTNzzm+ec++9qK4pzMFW8bx26gLjH//4R5fDzp07z4IwvXXy65/P9AcGbNV7A8/Z0/UQVHbw4EFs2bLFQeMbN250+5UuiGnd6evPR7v8ddXnBrbmK2LTy1UBHRMGti5e7+kcJBBDYL3O5S0tLe5Gkd4brJgCpoApYAqYAhdLAQ9s1Y/39ENGfZbV91i5dBnYerF6xeqdSQF9jtJ+qs9U2m/lgqLH+7nHVBnYOpNkNs8UMAVMAVPAFChIAb2v6tHu+iyoa976DKj3WANbC5LPVrpACggU0udAz7FVTweUI57gawFEVkwBU8AUMAVMgYuhgHd/WdcsBgcH3Y+F9J7V1NTkrlsIyvRYgYuR33KvU9oZ2Lrce3Hp5/8+sHUiz7F1BrA1HhaEmINahRGmSFROpPik4LEUhulCKljVPR5eQCvdNZ1jq8DWQAgZt0+DkCfovulDkGCqc0zlfO3vcnQdmwRb5dgqsPWdScfWSrqVCmx1cCthWDm2RgS2VgfQWhvAf7akc2Cr3EgJy8wGtnqOrflgq8BIkpIObK2vCGJdIoSPNoSxgo6t9XSt9RPCVFvSBH77h8bQc3IQw5xOEgptrSlDIs7P5AQ+BVyq7aPJDIbHCXAK2uXrUlqjhjkEKdwYqdZhtrHnxCD6Tg3yOm8a8bJSXN7WgIoowU2Bn9RVCCwNYLGze5Bg6z5s66VfbHmVc2z1wNaPNASRcGAr+0FgK9kGga07JsHWf+0dxP5jSYxkKDi/M4SiQYKtUWQCpc451U+9mbXUmvwn0EierzkEWTivA1sdgDw32KpzP8Oxv98Pl05xSGTGJvcL1aO2Z7ldlt/J5dqakZMr4VYZkUTohlsbL8Hqpgpc01aNy+ngKq3LSnIgcYh8gRxktTNKZ9eHzHepFgNbC+gZ7SgXCmyd/uEkkUhAwOBXv/pVtLW1uRPS9HVmaoK3cwt+efrpp/HAAw9g3759Z1b1lp+ZMcuE94YvwHbDhg1obW11OXirz5SLF1vLNK2LWy+88AK+//3vOyBQIGAhJT+2Lojddttt+Pa3v43bb78dJSTi85fPFU856EQg91jBrX/961/dL5+0jZfrXNtrmeoSPLRq1Srn3PrZz37WubsUmoNiqC5dOBHk+5vf/OZMDlo2V5lehwDbb33rW/jSl77kfq01fflcsZSDXGqeeOIJ/OIXv0BnZ+cZDQrVYrb4HxiwdbKB0kP7ri7K7tq1ywHaL730knNq7e7udr/w9jTzxrNpM5/56k8DW+ejmK27VBXwjiEdRzoHL+ZxslTbXMy88sFWvY9edtll7gK8OYwVU3WLbQqYAqaAKXAuBfQ+L4BBwKCABr3nC2IwsPVcytnyC62AB7bqwp6KnOTkfmJg64XuCavPFDAFTAFT4IOmgD4Pyr3fc231zBkMbP2g9fTybo++p+jamr639PX1uUc8e09DMrB1efetZW8KmAKmwHJWQPfNNOhetMDW/v5+d/+5sbHRwNZF6FjdczewdRGEtBBzKjA/sDWLipBgSBWhlz4HcPYPj6Pz2BCOnBhBMhBBNhBGMBB0fp+gm6dPJkeEUH2EP6MlAaygy2oiFkCc02EuCzowUU8Wnh1srSDY6nNgaw5iFNhaSmA259gaoGNrGtfUkouSGynzKhRslWOpn/VnCbZGSwM4A7Y25sDWuqgASrrPZgldjidxYmAUnSeGcYDt7eofxY1XNWF1Sy1ibEuIsK7ESbMdZFudToKAA4Q25X0qfLR/eAJ9p8dw4OgpB7eWRehyXVOONe31qKSjKslOtkFx6MJKN9MdXafx8N8OEGxNI0gNGhKVWOEcW0POsTVRSiBXTrCsIy2mgeMdXXRsPdwPga37jqcxnA4jEwzBxxyzoRin+WQSUbMObM0Bq37W6apVvxLizQg0Zb5EUd0gQFfDTI6t6XSSgDORWkKt3t7h9hC+P3jF4yzkxqq+SafI3HE5Q5JpZX1iMTQm3JoiKC2kNsh2NVSVoq02ivV0br26uQqt1eWooXMrm+LydX3NfSgHtnq1Lb2xga0F9Il2kgsFturCjy4GqXjAoj68fPnLX3aDoEZv/lypezu21tENxieffBI/+clP0NXVxf176gCYK4aWeXXpZs/nPvc5PPTQQ+4mpeYrjrc8P44X31tHyzTvmWeecUCmAFuvjfnbTZ+eHlsfPOTYKtfUa6+91v36e/o20197OWqsG66b396MBx96EM8++2zBrqmK6eUiwHbdunW4//778ZnPfMbBrt6y6XXP9Fp56FE3AnR///vfO1p+pvW8edNja3vtIytWrMD3vvc9fP7zn3e/KvbWn3WsLtdJjdtr0KOsH3vsMTz++OMuH22n+edTPihgq6eRvkC8/fbbbr/t6OjA9u3bnW6eThp7/ePN02tveqFaKoaBrQtVz7ZbSgroWNC5XoOBreffM/lgq97P9EOLqqoq955w/tEtgilgCpgCpoApsDAF9D6fD7a6XwPT9cjA1oXpaVsVTwEPbNXnUhU5dBnYWjy9LbIpYAqYAqbApaOArv8IwtC1VJls6Nq1XDANbL109oHl0NLpYKvus+k7izm2LofesxxNAVPAFPhgK6DPUvqBkD5LyZxKxiZ6n9KTZsRGePeiP9gqFKd10s7A1uJoa1GnFCgcbKWDZkkWlSHhjmRzOMiB9dRIEj0EPN89dArbjwxiorQS6XA5/HQI1TM7/YQeHTDJ71l+gq2VET/W0ml0ZZUfdc5ttHCwVa6qPgKt/NJGIFZgKx1bCcm2JuTYmpk32BooiTnHWB/hVtrHngFb1046trbEmWNUBoK8His30WQKx0+P4kDfEN7e14etB4/j9vWX4borGlEfL0V5JEjwk8pQoIycS8XN8Rzp56BzZYrzuk+NYt/RARzoOUXH1iG01FWivbESa1r5RIYY4VOnLP9y83RyDDuPnMaG5w5iW1+ajq3VqK+tQkt9BT7WGsJHGunYWkpYmOnL8dSxDQRCtxNs3dZ5Gm/sHcKeYykMpUuQDoURiHBMqFWOrUG2JyBHXW6q/mRXurH7w5maT5qIf3IZCSA9J9jKdaY7tiqnqZKl3qotg9TEOGPzNXcOQblyapVzaw5spdZyc6VzbKw0iMpoCFfRufVDjRVYQ63aa/nEPULApSG9x3C/0r7l4k7VtNSmDGwtoEe0s1wosHUmME7z2tvbcd999+Huu+92j3b00j57R/bmvn+sX6LKJfTnP/+5+0WqbkAqrlfOFUfryiX1nnvucWCpHtWSv70XR+P8WFrHey0oR4Dt17/+dfcBzdvGW+69nm2sWLogJqBU7q8rV650OWh7L5e5Ymkd3XR9+eWX8eMf/xgvvviiA67yc1Tdc8XQckG+N9xwg4NTP/GJT7gD3Yvh5eHOVIrlTXDaWybtd+7ciR/84Af4y1/+cqYNM9WbH9dbrnkarrjiCvzoRz/Cpz/9aZeDclPx1su9mv3voUOHnIPtH/7wB3fxUWt6OWq60DhaV2W5g626uKWTtr40PPXUU86hVS6/W7ZscRdl1cb5aqJt5lvUBwa2zlc1W38pKqDjRec7DQa2nn8PzQW25p+7z78mi2AKmAKmgClgChSugN7jBbPqyRT6QaWBrYVrZ2teWAXywVZ9dhLYqptEus6hmxxWTAFTwBQwBUwBU2BhCui6jxxbBWOMjo6666sGti5MS9uqeAp4YKuu/cuxtb6+3oGtut9kjq3F090imwKmgClgCsytgO6jaZBjq66rGdg6t17zXarrPwa2zlc1W3++CswHbE2EMzmwVcc+Ua0UocLewQkcOD6MV3cexxv7TiMZb0AqWkWAMuecGiKw6Nw+CTCSHaVTqw+3tQWwNuFDS1kWMbqchhiHpA/vyc/t2CqwlV/YyATRHZVQa4TXROsJtrY5sFWOreSQCnRsRbgMQYKtcms949gaIShbEWJuIXy0QY6tBFuZb0BgKyHLLO8j9PWPYf/RQWzachDPb+vEx667CjetacPl9eWoi4cRCwvWVGvYHudCmuPaUmRcR9M+7OW22w4cx8HefpwaHMPaVY24urWW0GbMAZwBwr8yU5X7ajY5il2EVDds7DzLsbWFjq3/1hbOObYSDo4FWZ/6hFnq73t0ed16+DRe3TOEXX1JDKRKkQlHECyLsl847Q8hkhlHKJt065OI4Lmcg7Znx/rohOtgX/lZcqbO8+qhc4OtuX7U+vkl/3VQlDODJh3YmqFWvK4th1iBrMqB42Rywt2nkfusis6FzdURrKRz6/Urq7CuuQJXJMoRJ6gbEEDNkMpNkZdqMbC1gJ7RjnKhwNaZ0tGOJuBuzZo1zin0U5/6lAM889fVOnMVXWDS49N/+ctf4te//vVZYKm2yz8YZoujOnTz595773WQbSwWO3tV7/iaIRUvvn5x9Nvf/tZBnfolt/JSXG/52QHf/0rrylVFEKVcU+VcqnkaCimqRxfY5B4rB9utW7e+b7NCctHFuTvuuMNBvtdff/1ZMWbLRXG1TGO1+5133sF3v/tdbNy40b1WkELq1npeHevXr8fPfvYzl4vme8Vb7r2eaawc9u7d6yDhp59+GrrRl18KzcXbZjmBrV5fePufxnJkff755/H666/jrbfecu7G+lWc1p2vFp4mCxmr7wxsXYhyts1SU0DHjY4tDQa2nn/vGNh6/hpaBFPAFDAFTIHFV8DA1sXX1CIWRwEDW4ujq0U1BUwBU8AUMAV03cfAVtsPlroCBrYu9R6y/EwBU8AUuDQV8O5BG9hanP7XPXcDW4ujrUWdUmA+YOsZx1bxJwwhx9ajAwQ9+wbx0vZevLbnFFKVK5AqSyAVCDvgsITOoAJHQVhSj7tP0AH131f6sT4BtMXoyBny0X0197h7cq00bEtjb+8ANu3oxj87B/BO7zjiZTWoiNcwhuLItdXvwNZSxmyoJtha6590bCV3FcgBtXrcvXJMcXi9oxNv7j6KbT2jODISwGionG6AAlujzC3g8ssSKI3SHdSBrXUCW0MObK0n2Or3K4p4AaC3fwT7evoJtnbi79uO4Oor27H28hZc11qB9poSVNORlkaiDmyVA2kOGPVhaDyFntNjdLXtx+b9x3FyOIkkIdKPXN6Ada1VWF0fcWCruDqH0UoMOrbu7jqF/3nukHNsDdKxtSFRSZfXs8HWqANbmaHYBg67e4ewo2cYbx0cxv7jKQwmQ2xvCUIxObaWIkuwVf0SzNIllf8yPv4lrpYmR5rK+DCR5DhFv1TmoDRUzgm2Ml42mwNbtf50Psl7LYdWEmeMz0qYqxxcpZHg1tx7Co1IaPaYJhCd4zO4iPHKCB1XlwVxVX2Mrq1xrG2qIuxahpp4BCVBgs5y81XFS7QY2FpAx2gHuNhgq9IMBoO45ppr8J3vfAdyCtUvSfWGXAjEqDZoxz148CAeeeQR594qSEZF2+sCVCFFb/7Nzc3OdVWAayH1eweZF18Xuh599FH89Kc/dU6Y05d76+WPp7dRj1/+yle+gq997WuoqakpKI/8eIJq//SnP2HDhg3Ys2ePW1RIHvkxBNh+8pOfdIDt1Vdf7U4UXp7eOH99xdd8rx5Bk3KP/eY3vwk5g6p4y/K3mz6dH1snZrnH/u53v3MOrlo3f/n0bae/Vr/v2LED9993P57/x/OuP7ztC8klP95yAFun94FubgpolXPua6+95o4P/WI7d5LPvcvMV4d8TRYyLf0NbF2IcrbNUlNAx47OMRryj6mlludyycfA1uXSU5anKWAKmAKXlgJ6jzfH1kurz5draw1sXa49Z3mbAqaAKWAKLHUFdN3HwNal3kuWn7636NqaObbavmAKmAKmgCmwlBTQfTQNBrYWp1d0z93A1uJoa1GnFBDY2jOYwivdwN+7BGBmMEaoUS6YtYQ0r6jx48MER9fRYVVga0WYPI9z0sxBj70Do9hPEPUfHT14ZdcJpKvbkCqvQ1KAKYHJCF1Bfb6ggykFpNZG/biTYOs1iQzaYymUEWwNkeHKEn7NkK4cG0vlwNbt3Xjz8CDeOTrGp1bVEmytzoGtXM9Hl09tUyKwtcpPJ0+Cra1ZrKdjq59ALf/CL1CSxxCbgtffO4Q3d+XA1i4HtsaRDccQDOfAVj3OPkswUmBrPR1b1wlsbQyhlY6t5Cgd2MrWIkXHVYGte7tPYtPWI9i0rQuNK1pxWUsjbl1VhTWEU5vidJKlC60HbAo0nSAdepzurLsJxG49dAqbD55EEmGURKK46fIErm2NY3UijMoIAVS2TeSbXFv9k2DrhucOYGtfGgGCrfUObK3Ex9pCdGwNIME+ihLKVVFdKdbVeZKw8fFRwq3jOHIqheEkgVOyeuFIGJlg2PVFiN+DAzqH65/AVq6SzPgxzjaeGhjHwHCK02QkHHIkl1y4NgXZNnKk3Afo9krX1zRdZdNpgqjOcVWA8hRems8pedM5N1uqye83mienVQbKDcqF02k642YItmqdM3AtXXPDwSz1DWNVIob1LTW4spEwcV0cFWxXLCz20MkwmUGOldKc/Jymssute6H+GthagNLaIS4W2Ko3XA3KQWPBrDfffDN++MMf4tZbb3XzNL+Qohj6Ar9r1y489NBDePLJJ88ArVpWSBFIqWHVqlX4xje+gXv++x4edeeGKb34XluOHTuGBx98EA8//LBr27nq1nbett66iUQCDzzwAL74xS9C7rGeRt7ymcZeHlqmixiPPfYYfvWrXzk3W8XXhbhCi9avqKjA3Xff7eBWAb8qmj9b8XL08hgbG3OOrdJy//79BWvhxVE9+kB2yy234M9//rN7hE7+stny0HwvB01vfnszvvBfX8DOnTudBtO11jrnKssBbPX6N8lfKTz33HN4/PHHcejQIRw+fNhdgM3XJH/6XG1fzOXS3sDWxVTUYl0sBXQM6ZjTYGDr+feCga3nr6FFMAVMAVPAFFh8BQxsXXxNLWJxFDCwtTi6WlRTwBQwBUwBU0DXfQxstf1gqStgYOtS7yHLzxQwBUyBS1MB3UfTYGBrcfpf99wNbC2OthZ1SoEBgq3dHth6GBhK8gnSpEEFe1bzMfdXEhxdWws6rNJtNZJFpcBWwpPe8d83MIIDfQN44d0uvLz7GFJVbUiWEWwNRkAGElHQrJCuqGkfwcNACDWxIO4g2HptIuvAVjm2hgIEX5mSYsqxdR9B2ed3dOGfh+nYenQcZfE6lMeZBAFMxzIxlkwVxZ41VfhwWRVwVxtdYOvovkoWTOv4CUgqpsDM1987SLC1B+/2jEFg60iogmBrGfwhgq0ESeUom2EO0ZIg6uIEW+uDuLkxiJVxHxrKCJj65EZKsJXaOMfWbjq2sr2b3utBLNGEhoYG3NBWg7WNUXyoNoiKUh/h1lx7BJqeGh7HoeOD2HrwODq6h/BezwhKYnFUVVXgppWVuHZFDFcnAoiXEPAlvJYmmMvnhiOQGsPern48smk/tvQyh1gl6hLVaKmvwn+0BRzYWltKkHYSbKV83DZLN9gUjnHo6U+x7gwBVUpHXYJhxicMnCVoHOC6rh+Fl0nXQIawrR+jaT92EL49cHQYA0kfxgm7ZqmNj6SzINRQUI60cl2li60DW8cIn8phNe1yFpzsFfXn9BJgXcJfc9yTWstCbd2gHuM2crrNCJTVmMvSnJehI6xcc2OEW2vLQmivLcNVzdX4cEstVtbE0FwZUUexLep71aGGKSdOsX+5wP2b8pTlrAtYDGwtQGztMBcLbJ2enk4iJSUluPHGG7Fu3TqEwzzzzbPooBDcKofKwcFBt/VMB8VcYXWSa29vx1133eXymWvd2Zb19vbiqaeegm4wzbd+xZQWLS0tLofKysoFxTh58qRzTZWTrQ7+heQhwFZgqWDfQoryVj0aq87R0VG88cYb2LJlSyGbz7iO+uPOO+/E6tWrXdwZV5plpvKQy9Kbb76Jt956C4I+vRxn2WTG2UsJbPX0zU9U844ePeoA4E2bNjmn2s7OTtf2hfR7fuzFnJb2BrYupqIW62IpoONK5zgNet9ZSsfZxdLkfOo1sPV81LNtTQFTwBQwBYqlgN7jzbG1WOpa3MVUwMDWxVTTYpkCpoApYAqYAlMK6LqPga1TetjU0lRA31vMsXVp9o1lZQqYAqbApayA7ptpMLC1OHuB7rkb2FocbS3qlAICW3sG03RszeLvBFsHJ8FWoYE5sNWHdTWgwyqQiMKBrTzwJwHELI4RbD14bBAvdBzBKwRbx+MtmCDYmg7REZUQY4xgq+DCNGFKBEsclHjHygDjTYGtQYKTDEiQkWArKUznALv9CB1bB7CZYGusot7BrT4fcU8eFyDYGqDzaKAkhBXlGayqzOCulWGCrQIwxWExe6XIqIIi3+gg2Lq7m2ArHUxHghgl2Joh2BpgjjkQli6pBFwjpSHUlwtsDeDmpgDa40BTGaOwXkGWqWQGfadGsa9nABs7uvBcRzeCNU2oqG3A6oYqrCPYeh2dXutjPkKqbA/rH0+m0XViELsJw27efwy7j0/gwABQUVWNhtpq3NBahmubSnA1XWfjJUQ3M2SwBNoSw/SnxrGP2z3qwFbCo9EqJAS2NtTgDoK8NzawjwjDRmSDOllUp8DkkYksBtm3o+xPGq9SE3KfAj8JuMod18d6xJOK/5Sufn8KSQLIIwRZX363F1v29+P4OF9nCcMSSPbRrFDbh0Nyy5UjLkHbzAQyKTm2pugUS4iUlaeZ95miZKYVufiyZrf/qIfc2g5s9eYxocn3FsHEHtyacg6uKeadctBwTVkJVjVUYA3B1rXNlbiqoZzcX4iurgR4GZd7HOPQ9VVayjGYAlBR0GzW1ZmX5bQMi/PSwNYCdNUHiqUCtnrpCmjVoBPFQmAh74u8Ljx5Zb5x9EEgEonkTn5ekHmO9UFN9c63blWjk64G5SAdFlrkmqqbsQvJwcvD6w/FcG8G80xG9SuPheag6pSDoOeFFNWrQTf7VBaSx1ICW702qB3a1+VEK4j62WefxZ49ezA0NISJiYkFtdMJVMQ/2n8MbC2iwBb6gimg48/A1sWT28DWxdPSIpkCpoApYAosngIGti6elhapuAoY2FpcfS26KWAKmAKmwKWrgIGtl27fL6eWe/fD9BS/vr4+9+S72tpaRKNR51S1nNpiuZoCpoApYAp8cBTQfTQNBrYWp091z93A1uJoa1GnFBgcp7mawNauLDYdzmJgIoMRmmMKBKym8+gVlQRbaZYqh9VE1IdK4Tw87jUIRD02MEY30iG8+F43XtlzHCOxJoxHa+mIGkOICFQ0S0dPooQp4oa+UAkS5WHc0e7Pga3RNKJ0bA2S2xJo6MBWOrY6sHVHJ8HWQefYGq1oRFlFHQ05c2Ar8UrGCsEfCaE1lsIV5Wl8/LIo1tZxHh9ZL7CVDWBEup8yz9c7DtCxtRsdPRM4MhrEcIgWrwJbw3JslRNpDn6M0LG1no6ta+v8uKXZh/byLJoJtma5jpqcpjZ9p0YImw7ibwR5n+3ogb+6GZHqejTE41hTV4pbWphTpR+1hIAz1GdkfAJ7j5zAjsMnsIVOqEeGfDiejqKmphZNdQRbm0uxviGENTVZxOkJ6fgElw/h0+Q49p4BWwmPCmytq8GKxhp8vNWPmxr9BI39Dmz1sb1yVOX/HGDK12nWL9iU/11xMCdX0GvlpglKStwzg4AviSSB1SGCrc+80YVXdp7EUWmVCSFLiNgXZB+RaSsJ0ymX8GhAYGuaYGuSrJocWwm2kqc9G2ydrDd/JLzUK7lMlAcZNQmshM6M2decFtwq91bBsxkNKZocch7NZ1FfEUVbXQWuW1mNa9oICldGURkrQdhPUDebA1uzhHU1ZCQMdeVeyPZqz7iwxcDWAvTWzr/UwFalrTdj5bbQ4m3vjRcaZyHbLWadiqWyEC28bRe6vat48o8Xaz55eDosZNv8uvOnBfnmA8v5y2ab9urXcuXv5TXb+jPNv9hga77umtaNy46ODjzxxBMOaJVzgOYJIlbRB1nplL/dTO260POkvYGtF1p1q68YCujYMrB18ZQ1sHXxtLRIpoApYAqYAoungIGti6elRSquAga2Fldfi24KmAKmgClw6SpgYOul2/fLqeUGti6n3rJcTQFTwBS4dBTQfTQNBrYWp891z93A1uJoa1GnFMiBrRm8SsfWTYczGBjPYJjOpKK4HNha5SfY6sM1dT4kIllUlJLz4nHPg5//fWfA1pe29+DV3ScwEm3AeKQaPkKjQT6yviQ7QbfWAMFWuX4GUVsexJ0ObAXaCaXGggJb6QBKZEqehqN0Gd139DRe2N6Jf9GxdcvRMUQqm1FW2UAIVYyZsETiicEg/KV+tMXSuDKeZswY1jbQWNGXB7ZOwp0CW//pwFY5toYwEq4ESgi2lniOreTWGDdKWrKOYGvOsdWHy+JZNMUEtpLLIQqZIbnZe5Jga1c//u/dLjz7bjd8NSsQrqxHvDSC9qoSOrYG0Rz3ObBVbqOjY+PY332CLq/92N07jBMTIQz746iprkRzLaHMJoKt9UGspituxSTYmmVDBRaDYOtu1vXIxn14pzeJbCwHtsqx9c6VQdzIuqoItpZSPxFnUoaSs+/0KlfeR+Op67hIwK/GcrZV6wK+FCZY7xCdXP/31cN4seOEA1uHskyKQLIcW32spyQsV1S6txJshRxbk3JsTTrH1jRjneXYOplD/ki5qd5chprSNMfMR+Pc0txrt48RwHVwK80ABbYKcOWEg1vL6LBbVVaKDzURKm6uwJWNcbTWRFEdDYJGttxO8VgT+5bN0s7Dtmpfy8drXQpF//P/AAAA//+FPiIEAABAAElEQVTsvVmMJNd55/vlVnvv+0Z2s0mKFEVtFMfU3PGMfH0xGF/jGoZfacCPtp/8ZMAPviBk2XP1YBgewwKkBwGELMOwdS2Iwh1L8ki2aNmSSVqyxFWiSLG59L53VXdtudz/70SeysisrKyoqsiuysrvdEdFxIlzvjjnfyIiv4z4xZeFhpJ56qkAEv3Kr/yKffOb37S5ubmeZe/WxkKhYHHoWF5PijainfXaWGu99H7j8lptdCu/Hh1iHTRgKhaLVq/Xu5nPnBdtZq0QNdjIOHTua61t6KzP+lrb8+u//uv21FNP2f333x/q5tGGbu3qlhfbWqvVwvg9++yz9qlPfcpefPHFcM4uLi6GNsVysW1xvZvNzcqjbU8++WTQ8vTp0xbbulnt8f26AutVgPOL6ykT5+ZWPN/W27fNqDc/P2937tyxCxcuGNc0rg979uwJn1t+ndiMEfF9ugKugCvgCqAAn/HVatWuXr1qt27dCsvj4+O2f/9+K5fL4XPKlXIFtoIC+FHXrl0Lxyy+0+7du23Hjh02OjpqpVJpKzTR2+AKuAKugCvgCgykAtz3uXnzpk1PT9vs7Gzw//AHJyYmjLknV2ArKMD3Fu6tXb9+3S5dumSHDh0K31k4TiuVylZoorfBFXAFXAFXYAgV4LkZ0+3bt8N9NT6nFhYW7PDhw+GeBfcr/PnP+g8MtENDJhgQT65APxSYnm/YxZm6/fO5hn3r3YbdnKvZ7YWqzu267Rsv2AO7S/bowZJ9SNP+ibrtGm1YQec9hJfoJLt8a97OXJq2f371gn3vp1ft9vhBWxzbY4WRcR27BSsXxL8UKlYtjhmV9k8U7BdPlezDBxt2arJmU+WGVXRrs1Aoap9Fuz1XtzfP37Rvv3rGXnjnlv3o4pxN7D5uk3uOWKHMNUVTQxVkuzDSsJNTdXtoZ8P+9/sm7dHDo1bU/kSiqQw8mu7/C5367ktn7PmfnLOXzs/Z2Ttlu1PZZTa2w8rjU1Yoyk7g1Qo2MVK0gzsr9sFDJfv4saKd2ml2dMKsrnOwrv3W69Lq2m17491r9vUfvWd/9+I5K+4/YeVdh2ykVLGDk2U7va9kB9XHvWO6PtartjC/YGcvXbdzqnf+1qLdsXGrVnbavl1TdmTPpH346Jg9eqhsD+8r2u5R6QD9SJt0ytf0PP0n7123P/nG6/bDi/NWnNxrBw/us+OH90nDMXv8aEV1ijaOFqrHVUIq9jxMwlb90QiHkkWuM6pckm7ag01Xzb7yL2/bsy9fsfOzZbvdGJHOo9K+YkXpMDpSsRGNQ7GhgvUF/Z/V/epF6Vy1muxKop6ppv3VNTFGpPQ8jFszj7FD71AsLIvVCCyV5nWmumRq6Phq2OE943Zi/6Q9du8ue/TYTrvv4JTtGBtRmUKiiY47UR/h+Cty/LB/TXcz6ZyhS556KYBEWw1spb0cLLQty0Gz0jDHuitt76XLStuizZW2k5/eX+xHr/JZtq11v9iMddI6ptuWZb/dykS73bal89L7Wq8OnfWy7Du933R7NrK8WWBr7AsPKb/4xS/a008/ba+99loAv+hP3N7Zt5XyO8vd7XXGz8HWu626768fCnCOOdian7IOtuanpVtyBVwBV8AVyE8BB1vz09It9VcBB1v7q69bdwVcAVfAFRheBRxsHd6xH6SeO9g6SKPlbXUFXAFXYHgU4Dkak4Ot/Rlznrk72Nofbd1qS4EEbK0FsPWb75pNC2y9I7DVBCruEYt6325Bl/tL9n6BrfsEa+4cFVAI4xWQxKJdEdj6tsDWf/3JBfu3N6/Y/PgBq47tNhsdDyCkMEarlcYC2Fpo1GzveMP+y70l++ABs3sFtk4KbC0XE3t1wah3FKfxrYs37Z9//K798L0b9sqlORvfdcwm9hw1E1xpxbIV6kUrlFSnUrd7pxr2oADU/3Rywh4+MJICW6EhAVsb9sJr79j337hgr12Ys/N3SjYnsLQxKqh1DLAVqlb2JMn4SMEOTJXtkYNl+w/HSnbvjoIdnixYTdvrKlEXuXn5+oy9Kdj0H18+a//w6nkr7j1mxR0HFCSjYpOjZds7UbbJSsMmSugkALO6aLduz9qt2apNL5otFgRclsdt18SIHZwasUePjNvDB0fsAYGtu0bUFGkbGqPzH7D1p+eu22f/4Sf2qgDf0sQuO7B/nx09tF/9HbePHBmz3WNFG1MXIEqBWyMouiJE2dxAqEQWE7AXILYusLVg0wsN+9rz79j3XrtiF+YEATdE246MBbCV69HoyIjAVukF2Fqbt5rA1rrA1sBUyCBjuHJqWE1j3aCh2jslk/a2lmNtZBC/Gkok0DOfNwQkSwIFagGQKtgBSN41UbIHD43b+4/usI/cu9+OCRreOVrRsQUDrXIcs5oXOH6krf5g/K4lB1szSI1DsRXB1gxN9yKuwF1ToB9gK+deBHW5mPM2FXkk1ola+Prrr9uXv/xl+8IXvmBvv/320vZY7q4JkNOOHGzNSUg3s+kKcA4GJ0znKjePB/Wc3HQhmw1wsHWrjIS3wxVwBVwBVyCtgIOtaTV8eSsr4GDrVh4db5sr4Aq4Aq7AICvAvR+P2DrIIzgcbXewdTjG2XvpCrgCrsCgKcBzMyYHW/szcg629kdXt9quwPR83S7NVO07Z83+17sFm5mv2ex8VfDooqKBNuwega2n95bsfkUi3S2odYeipIopDVAiEVuvCmx97/KM/eDNi/bSmatWndhntTFFRBXYKjI7wJNEa62VxoPNPaM1e+JESRFKzY4rAuw4YGsBzFLgqCJszs417B3Ze/7Ns/aqIrf+9PKcje06Irj1sNUrgiyLFRMzKkBRjSjX7Phkw07vLNh/OD6mNpZlRwiqAEgA0fCsXzDqj95QtNYzl+yNy/N2aa5oC6Upq49MWWNkUnZEhWoi0ulYRZFWBaa+TyDvR46U7ZjA1gOKWis1QjTShsK/Xr1x294+fyOAvP/600tWULuKU4pQK7C1WCqry2qfbBWtZhVNRbWlBoyp5tYKZWsIrATOnRKju3e8aA8Jxrx//6id2lOyHcqj7SS1Pvy63FsXbtpf/svravusVcZ32N69++zQgX32+IlJe0QRancpYutoE2wNLAM7CvXDrPufUERIKXCnor0mkKnAVgHDMwJbv/3DdzWe1+wyYKtJ88qYmqz+6RfuYsRWjo9GFbD1jhjoBGxtECU3HBndd8t+6kUi+IIJkyjdmsiJuCky6Ku6EhGrgY9ZJi8BWxvqJ1NN46xQrgFoPryrbPcfmrT/ePqwPXRkl53Yo19h0ZiOUJ1jgn86JgPU6mBrIuhW+ssB7GDrVhoRb8tWVCAvsDV8YDQ7GKFWVsln4icY+Gmrs2fP2p/92Z/ZX/zFX4QPpQi9UoZ6aTtbUa+V2uRg60rKeP6gKcA56GBrfqPmYGt+WrolV8AVcAVcgfwUcLA1Py3dUn8VcLC1v/q6dVfAFXAFXIHhVcDB1uEd+0HquYOtgzRa3lZXwBVwBYZHAZ6jMTnY2p8xd7C1P7q61XYFAFkvzizaP50t2N+/U7DbAl0XFuuCVxcFX9btkCKWHhLgyUQkUqKD6r9AQfEsAlFv3lmwyzdm7Y3z1+0tRW5tjO8K0VCL+vl6hX2zKgGkBKNWFam0JNBz10hdEVHN7lGU1b2KUFppcobwmEToXJg3u3hz1n58/qq9fX3Wzt1asNGJPTamqSGwEsixpP3qF+W13rADY3U7qkiyDwlqPao2VgtApBhTI2Eetf83advFW3Zuumq3FkshemyjLGCzNCoup6hWKqyn+Bwike4QKHpCbXtgryURahXFdUEtrzaEvioQ1q2ZWbt4bVqRVAXdnlN/J/aG/jZCaFBFA1VfZS3woqWggBrCtTI0R+0GqNQ0Ljp4SraP7x61o7sqdniqqCivAmIlQi3AsOKKqjU7f/22ffu183ZhesFGRids545dtnv3bnvw4Jjdu6ciGLZuFSDfJuhJ15OOM1+eks3gpCpFW8q0R+0TALxYLdrsQkEQ8GV788K03ZRW88JzC9IKqJVppFLWmKmHRGtdnLXq3G2rVRc0dorgGvpG77snVCCgq4YvSaGxYqM0J7IvOpFC1FotMnbAqEUi6iqAINoxtslnD8XFcrDeHOxxEawHdoza+47stg8e36nIrYpwq6i4u8fUdtWlPkxWMgZJE+7WX4/YmkFpBtTB1gxCeZGhViAvsDUtIueeLr26qNZtZmbGbt26ZS+88IL94R/+ob3yyisBaOXmKSkpy/V+cKFW+kH7n3zySXvqqafs9OnTyQcDGzy5AgOmQHCGdH5yjnLzOJ6jA9aNLdNcB1u3zFB4Q1wBV8AVcAVSCjjYmhLDF7e0Ag62bunh8ca5Aq6AK+AKDLACDrYO8OANUdMdbB2iwfauugKugCswQArw3IzJwdb+DBrP3PnpbyZgLE+uQD8UAGy9NLMQwNavv120O4rYCdhaFtg6Xqrp59wFYIZJDKQOQybhgbCQIWLm7FzNpgW3Xrp1x67OiEoVfFnQT9cT4ZOfpa/qGbviaWoqhciskwIxT+xs2J4xEyQr2FDHdh0+RshMXXBlTfu/Nbto57Gn+Q21b6QybqOaGsUEchSmGJZrCn66U1Fb96idxyYKil5qNiewtRquTcJVYXVk+NKNO3ZFfbyp5s0qKqkap04wEakVdBK4s6hzLYFb943V7Mh41SYFzhINdc5GbLGhOKyKUjo3ryB2d2bt6s0FTVVFfVX0V4GfVUGpDaBJ9ZNzF5CSKLBMagR7CAmklKksAbG9a7xsu8dLtmtMkVcVybSk6KM1sQmL0mK+2rBr0vanl24qkm5dOozY+PhUmA7uKNs+QccTioBaVp/D9Ri4ld2xzzBP9tn5N4msmmgobjWkRlU8RLVkiwtFOyuY9tL0nM3VFKlWGgVYV9ehgoDWkbLGUfNGdU5jNWuLczMCXOfEUyxKQ/UtdrRzp811YGf2TwJJDQ0Ogw/YGuFW5asvBUG+lAxQargGohz1Yv2AwwZYlqyCxnR8tGIHd43Zw0d32OOndtkDB6bs5L5Jq+jALWt8S0CyauRq7aR9eSYHWzOoyUHsYGsGobzIUCvQD7CV6Kz8lNV77521//k//z/76le/ai+++KItLurCrsS5SeLiGT5stM4yKW4LKwP0h/Y72DpAA+ZNXVEBzkEebjjYuqJEa9rgYOua5PLCroAr4Aq4AndJAQdb75LQvpsNK+Bg64YldAOugCvgCrgCrkBXBRxs7SqLZ24xBRxs3WID4s1xBVwBV8AVCArEZ9sOtvbngOCZu4Ot/dHWrbYUuL1Qs8u3F+zZ9wr2tTOArWbzRGwVqFi2RcGX/Mw70CbRMQEJgVrFswTCkOBQdcGrgjA1XwBGrCjCZ6ksgJAyAlWVTxA4rhclgZsjsjNVFjgrUBFoMpkEm6ocU0G2qprPCmqcV51FEYuyGKYAQqrpJUVPran+oqKNVgSCjqnsDrWxIvu3NV8M+xa0yk/U16sCROtqn8lWWRAtYGNgMGVV4Kn2AZ1TV1vAUFkZK1RtqjgHgqnVgmDZsVC3UVdkUulSb1StLgi0URUVWhqxuqLILhQWVVr7ky7grcCYgQRq2m8KFjQhEikJ2yXBusDCY/RFbSeqbU06aghsvl6SDmZ3FrVfWRsRkFssjkjfMVNwUhstKlqr4skqLm6wi000oj9o3z3BJQkm1p4agMWKmkutujQqVBVxVrTwbe18TkAy+8QWUW25HqFbRWArALApSisRWwFbG5o3anM6LnTwSJvuKbRK+1bDUVbNSz5DGHeBuRrDcJygjTayLLG1f7UhaEm7w6YQaZY2ARKHRjHXGBSlS7E8YhURw0f2jIaotj933377ufsO2NR40SZHBLeqbIgAm6jUval9yHWwNYOoHBAOtmYQyosMtQJ5ga2cbwCt58+ft5deesmeffZZ+/KXv2zvvPNOAOQQmTKdiQsyiW3h4tylTGedrbhO2x1s3Yoj421aqwKciw62rlW1lcs72LqyNr7FFXAFXAFXYPMUcLB187T3Pa9NAQdb16aXl3YFXAFXwBVwBbIq4GBrVqW83GYq4GDrZqrv+3YFXAFXwBVYSQGeozE52LqSQhvL55m7g60b09Brr64AYOuVJtj6d2/rp+gV1RSwVdSiQMVFIYgJ4CguFGxTUCfYpv7BsoQImwmICARZF5hJBFYgwwBDAg8GQFG1BZgmoGhAKgMgu6BIqEChDR3rRUGMTCVBjqokcFUWqa5/Je0LYDQhbLRvRV2tKWroAlFEm3VGgGpV7o7aUA0tFIApyLIsEFVbtD+BkbRL1ktaC9boQ0B0FJk0IKWaa6fUG2nMh3rArvMFRWTVvCCwFYi0qAipZf2rNAh3ql7JxqLAVmG+oQ9BH+Une2EtJvVG7Q0Qp7LCdirrf0m6EcW1LDhXbK9V6wXBspWgeUFYLdqxN/7W1R4SvSoJJi0I4EUnUvK3fSlsWPqjnWmfAMrqiDUU8TbUEthaqgtIrlfAZLVfmKWkUnMWVojWCtha0Hg2mnBrQ8eKobP6FujTpFrXv4wRsGpD4wW8WqftgK2AtMCtmvQnzAuyyXKBdXUsmZKe0s9gSY0rlIQ+K0JwTXo1tFxUZNsdioS7f6pkT9x/wP7T+w7aib0jdmhnRaB2JcCtxNO9m8nB1gxq41A42JpBKC8y1ApsBGzlHCPdunXL3nrrLXvjjTfsS1/6kv393/99yIvb43w7C+1g63Ye3eHqG+erg635jbmDrflp6ZZcAVfAFXAF8lPAwdb8tHRL/VXAwdb+6uvWXQFXwBVwBYZXAQdbh3fsB6nnDrYO0mh5W10BV8AVGB4FeI7G5GBrf8bcwdb+6OpW2xUIYOvMvD17tmhff0cRQucbNiewtaZfIK7XBC8KPBRjqUk4YojcqciYMhEinQboEDBSQCKAooBQIFXK1RUKlMiYRCQFggRSBHysq06NqKz62fjF4lgAYQkAWlZ+WXbKKgOoacVk3yIeta5daKoXBS4KQC0Irq0KBF1UZNjA34inVGDZsDwXKExFQVX5suoSebYAcNvsNrgpkVwxCFgKWEsUV8DWqoDPBWUCUgK/Fojiqu0h0qvKlgWRqpT6VbWKRBkJwgBaqk9qr3oX2gk4CvCqlmMlgXyhRGU3aAAUymqoiV5EeJWuErbUjIxbI6pqeQxqU5rMqn+CW4FiAVuLo7KbgJmAtuwl9EV9Zp9JIzTrlkLb6KNKCaKtF4FSVVtjUhaoK+xTetAyFWAsw360hyY3URZMzJiW0DSMDdFik3K1hkDlRrnbXpt52ocpEi6RXQWwArUGmBWoNUzSUNqgk9UEEddEWWseAFeBsBrgMPEdvqpjs6ZyZBfLAn01zam1NUW1rVQmBd8quq3a+OH7dtsT79tvj52YUgTXSUVtHVG0W0Wm1ZiTVH0poVy/koOtGZTlZHawNYNQXmSoFdgI2Hrjxg378Y9/bM8995w988wz9oMf/MCmp6eTD1KpGj5Qh0RdB1uHZKCHoJuctw625jfQDrbmp6VbcgVcAVfAFchPAQdb89PSLfVXAQdb+6uvW3cFXAFXwBUYXgUcbB3esR+knjvYOkij5W11BVwBV2B4FOA5GpODrf0Zcwdb+6OrW21XALD16u2qffu9hn3t7YLNLVRtXnnVmmBNomoG9A/8DzhU6B8Qpv4FCFDnf4AQKQW0GfBKagA6NstSEFCRSJyhHM/fATCBXwEMgTrBQEEoicyqjUyyFe2JvwwplFB5VdR/RVeFBA1tCKYxL7thJgAVeBP8M0E9k1zyaBm2k5zQVkBccqnPBtoRSiTAJlbIxlZRjaF+SRkKKhtS6Lvyg1bNvKRHzb3SZvTAivafaEXVpIdsQ4cwJVb0V/sWyMs2IsgGiJTxUFvBQ4O+YSs7DHvW32Bef1dOlEmnuqLPRg1BlvmXWKOU9A0AqNoSmq69qp1FYOXQAq2zQQnF6g2BwEH5kNXlD+MrQFdAawCmgVs1LUVsDVFbE6A5RIGtJmArcCtKlCVhRU2ihXUBy4uCfecXFwRJl3QsCEAW1ForjogFHlMbBeCq3Mn9Y/bQkUn7z48esY+c2m/7x0dsoiLoVT0g0Xr6tJSaAqWzlrZtYMHB1gzi4VA42JpBKC8y1ApsBGz97r98137///59+7d/+zebmZlZpiPn4LAkLvxPPvmkPfXUU3b69On2D4JhEcH7uS0U4Lx1sDW/oXSwNT8t3ZIr4Aq4Aq5Afgo42Jqflm6pvwo42Npffd26K+AKuAKuwPAq4GDr8I79IPXcwdZBGi1vqyvgCrgCw6MAz9GYHGztz5jzzL1EdERNRQA+T65AHxS4rRClV+/U7Nvv1u3vzjRsYWHeFhStdbGuWKBEDRUACIgY4ErtP4FbOR6FF6YYmNYyXIyesatOgg3qb6qcMpetp8HCWDbOKR/owzBPmJu2bWzusE/RVqWVtnfPT9tKL2OxWzvJJ4Wyal4EPZPclf922l65ZLYtWe1Faokosb0TI804Uy5ef3rXSWz3LoM+RK2lvY0AtmqZyMABahXk2syrC1qtAbZWk4itYzI7qmZMiGwdEVUsrFlQ66zdmb9js6qrQMMhwm1NUYBrhUoYqxG1fLeCuR6aLNp//fiD9h8fOW4ndoworyxINhzJ7WBrFKcpzKoSNctlmTnYmkElDgoHWzMI5UWGWoGNgK1f+cpX7Dd/8zftypUrAYRDyPjBlvVDZLuIT78dbN0uoznc/eDcdbA1v2PAwdb8tHRLroAr4Aq4Avkp4GBrflq6pf4q4GBrf/V1666AK+AKuALDq4CDrcM79oPUcwdbB2m0vK2ugCvgCgyPAgFM0rM0B1v7M+Y8c3ewtT/autWWAmsGW4H/FCEzRgzFUjsPA/BO9NJmJFFdIzpTe/nlXE3n9gRslR3+97AXt3UCiTE/tqNzPeYzj9viPL1tJf5nqazatx6wdal+emfrWF6LHcDW5SPT2mmCfUawFVi1N7CabO9tE+sBbGXPRJ/lOAFyBWyN0VuJ4MoyoKvgVtNU0FSqV62i8qOVgo0Jbh0bJSZvXZGFF2xmbtZuzwvIViTbRU1VRbotKGIrkWVHC1WbqtTtv3zkAfv4wyfs0cOTdkRw60RZMVtTBwq96zy0Uptp+oaSg60Z5OMAdrA1g1A9isSDOn0xIC+93qO6bxoABfIGWwegy31pIueFg619kdaN3mUFuL472Jqf6A625qelW3IFXAFXwBXITwEHW/PT0i31VwEHW/urr1t3BVwBV8AVGF4FHGwd3rEfpJ472DpIo+VtdQVcAVdgeBTgORqTg639GXOeuTvY2h9t3WpLgTWBrYCbqtoQ2BpBx05eKllfO9ga7cR5q4XsMEEwG4IhO1MsH+dxexpK7NzWuR7rMGfbStu78WFtZVW3sLyJafNLy7FenC9tWOfCWu3QzNWiti6P2NqrcUCtqwGwTXGCxgKfl+DWBGYFaE0mgFeWqwJbk6kQIrdWbUSs7Zj+TE6MWkVwKsGs78zettt37tjthaqityrIa2nEGqWy+OuSWiQgtlCzjz5wwh6//4j9b6f32ul9E7ZLYGxJ4Gsa120eZkudTB9DS5nrXHCwNYNwHMQOtmYQqkeR9EWK5XRa60UiXdeXt44CDrbmMxacHw625qOlW9lcBbi2O9ia3xg42Jqflm7JFXAFXAFXID8FHGzNT0u31F8FHGztr75u3RVwBVwBV2B4FXCwdXjHfpB67mDrII2Wt9UVcAVcgeFRgOdoTA629mfMeebuYGt/tHWrLQXWBbbqp+mzRmyNe0ozVenlNHuVzl9WT9caAn32KsO2DpQrmmmr181GLNi5Lb0e25rOo15cDxQZ7QyZyazX31ivV5ms26KtOF+tXpaIrUl/RY6uJOrSThJ+Ln1MLG3qXEiGUaIJbJVWIWIrUVsBWcljOURyFaGqPMDWBpFbBbkWNBW1rVJsKHJrycbHKjYxNhoiuy4uztuVG7fs1tyC1coVq2sqlIFbC1YWAHti76S9/+gu+2+PHLUPaH5gSmCstrWOZIJatiLO0qNVu93Ztx7rDrb2ECdu4uB1sDWqsfY5JyxTvAjgQHDDi/WYH7et3brX2CoKONiaz0hwTjjYmo+WbmVzFeC67mBrfmPgYGt+WrolV8AVcAVcgfwUcLA1Py3dUn8VcLC1v/q6dVfAFXAFXIHhVcDB1uEd+0HquYOtgzRa3lZXwBVwBYZHAZ6jMTnY2p8x55m7g6390datthRYK9ia1GzhgJ2cVLIulko/Ey9yMRTvXqbVhshctXKSpaV6us6QwnqTG01KNPPitmamTp22tGSno1xboS7b0vUo262dbWXUzgRu7bS8fL2t3vLNa8qJtuI8S+XVwFZsFApF9Uc96hR02Q4SwbOArcCjITGmAKyaB7i1CbUmeUCvdUW/1XaBrXXgVkGtTAFu1bFVUZvGR8oBbBW3qvI1u37rlk3Pztq8TNfF9FllxES1CnAt2r7xst1/YNJ+5cPH7cP37LUjO8dtrKxrLN0Lx2lBAWRpW9K+sJQsJu3d4F8HWzMIyMHgYGsGoboU4eI0NTVlTzzxhD300EMBcnr55Zftueees4WFheRE46TzNPAKONiazxByzjjYmo+WbmVzFeCz08HW/MbAwdb8tHRLroAr4Aq4Avkp4GBrflq6pf4q4GBrf/V1666AK+AKuALDq4CDrcM79oPUcwdbB2m0vK2ugCvgCgyPAgFI0rM0B1v7M+Y8c3ewtT/autWWAlnB1mJDUKGwKFi/huJcBhywg5PimsBWpoZAQ/3Vcisl29vXOc7TqbNM2Ca7iemV7XXWi2bT+enl9D5Z7tzWud5ZvrNOLC+AMSna3tRu1Zfts2uhjJlx/xmLW1awNbHXPkbL9xG3tyKeLi+T5CTwK7isBArjCtyaRG8VmBHyyE+2axsBJwW2VuuLVluK3FrXEVi3kWLRxkrlEL21Ikh1fmHeZudnbUZwa1UHQGFkzGoqUxOgu3u8ZPcJbP2/BLY+du9eO75nwiYEvJZ1UCetFxfSaALb1FVzi7FbK3VmDfkOtmYQi4PYwdYMQjWLxIvn5OSk/dIv/ZL98i//sn3gAx+wgwcPhhIXLlywl156yb72ta/ZV77yFZ1ACoGshM7UXetFI1T2P5uugIOt+QwB54CDrflo6VY2VwGu5Q625jcGDrbmp6VbcgVcAVfAFchPAQdb89PSLfVXAQdb+6uvW3cFXAFXwBUYXgUcbB3esR+knjvYOkij5W11BVwBV2B4FOA5GpODrf0Zc565O9jaH23dakuB9YKtOvXbUouRSq4LDYOhai/UKpOwVdFA5LPS2+M25iGfHabMtZXlWpSusLTcym0rv7Q9Wejc1rneUTyspsuklwPY2tptt6rL6q9YaA0b0m1YrRrNC03UNaZXSsald5lWfVDU1cp2lAkHkVoSwNYW1KoBF0SdtBLoFbi1Kri1Jrg1RG/VclF5RG2tCFwdVVTWSrmkcou2uDhnM7enrUr9csVqAl/rxZLtGC3ZyX0T9n9++Kg9dnKv3bN30iZHioJjkx4AbStGrPqgDNmlJw62tkb3rixxEDvYml1qTtDR0VH7jd/4Dfut3/ote9/73hfWWxdUs/n5OXvvvffsm9/8pn3+85+3F1980apVvaWguui9lgtH9pZ5yX4q4GBrPupyDjjYmo+WbmVzFeA67mBrfmPgYGt+WrolV8AVcAVcgfwUcLA1Py3dUn8VcLC1v/q6dVfAFXAFXIHhVcDB1uEd+0HquYOtgzRa3lZXwBVwBYZHgchEONjanzHnmbuDrf3R1q22FFgCW9+r29feaoSolwsLAgQVvbKmn2YH9uMn4UtEbAWH5H+MbNk0085GwUoJUlTNNG7aVgaeqlk3MlistpVpbldmUlbzsBwrxu3L6nUpEBqdVAhbsUW9JKv9b9xfyKUvyeaAbOqcJLW1M1UeOHKpQijZ60/Ldq9SWbe1tUk9i+1eqf5qEVvpakGRTrOlRJcQxXfFCukycVmC0VBNHGnMQz90/IQSoRNJXrWuqK0KOFmrLoYIrsV6TcdkQRFXNQlerRB9VTB1vTZvd27fEruncgJaG4JbG+URG68U7cSeMftvHzpiHz21x07tn7Ipwa4jolfZFxNxYB1sXXEA+7+BwXewNbvOXDx/9Vd/1X7/93/fPvjBDwaHgTx0jBfWRl3LOshnZmbsjTfesGeeecY+85nP2NWrV5OTTbtrv3hk37+X3BwFHGzNR3fOEQdb89HSrWyuAlzDHWzNbwwcbM1PS7fkCrgCroArkJ8CDrbmp6Vb6q8CDrb2V1+37gq4Aq6AKzC8CjjYOrxjP0g9d7B1kEbL2+oKuAKuwPAowHM0Jgdb+zPmPHN3sLU/2rrVlgLTiw27eKdu/3q2as+eqdrtO/M2J7CVn2UPESxF/BE9E7iVBLsZ8gUVthK5SjCKcQFQsbnW3BS2xM26erTWlwp05Ck/5Gj/LIQ6y4sk+dEaZZNaMUernZW4dpGdlE1vTvKSqnF/6dpt7cZG3FcslJrHxc72hPzWxlY7V1zKWjiBNDGzag1dXxKcc8WdBjYu8HHpoe5aPBbobROd63UhrFoQbhf0T5ZrWq4LpGZcBERrXigIMxUpHIBX9aZeY9I2fk1dywUZKMlGUSVKOtZKKl8p6shsLNrC/G0VqQpsVW1BrzXBrRXZOrJr1P7ro4Ct++30oV22c7Rs4+UCMVoTsFXHtIOtXQf47mQy8A62ZtOaE3NyctI++clP2m//9m/b+Ph4OHGozbbkJEpOzLjMza8bN26EqK1/9Vd/ZU8//bRCHIsAl+6eBkcBB1vzGSvOEwdb89HSrWyuAlzDHWzNbwwcbM1PS7fkCrgCroArkJ8CDrbmp6Vb6q8CDrb2V1+37gq4Aq6AKzC8CjjYOrxjP0g9d7B1kEbL2+oKuAKuwPAowHM0Jgdb+zPmPHN3sLU/2rrVlgKArZfmGvbShar94OyCzQhsnZ1bFBul6JU6BpME2NoEWpURwNalLc2FZbMEhF2WHTOaLNUSUdVcj5vT88hdxXl627LlYEdWmyDusu0hg2sXRcBSk+tYUo7M8L9ZTStKsSdx/0muNshIehk8cqkbzQ3t24O5Vp1ktfffYGDJyopluV6Q4jxBNVcsTkkK9yoQbLXs9SyasreyTbSBSwVS1X9xGMzrVm0oEmsAW1twq8jVALbGoy2ArVWxG1XgVu1OBhg/CNlGbVHrVauIdC0WqmL15jRmgK3KLpXCVJL9wztH7P949Jg9duqAwNbdtmusbBOK9NqM0ypTDrauNsp93c4J5mBrNok5MU+fPm2f/vSn7dd+7ddCpUwnq86ZRYUzvnLlin3729+2z3/+8/bss8/qxIQu10Yl7MTlkOF/tpQCDrbmMxwc5w625qOlW9lcBbheO9ia3xg42Jqflm7JFXAFXAFXID8FHGzNT0u31F8FHGztr75u3RVwBVwBV2B4FXCwdXjHfpB67mDrII2Wt9UVcAVcgeFRgOdoTA629mfMeebuYGt/tHWrLQXmBAgCt56/VbWzN6o2vyAwsCpyUMdf4KRSnCLxM+PUstBcSpCoVDYZyzLD9nRuenml8tFMKNtkr1I76lhUKZWhpbFeR4HmanL9YkVLqbLkt9cgOG1HVqzVviGYiYWbNUJeh7306nLD6a3Bfmhflxa0FWS82jJWW6H0ajXidvTslZpb1YaVUrTQUMRWmGOY1ARmbQhsFdAqFLXWBF0TXhVOQ+ArEKzmHJMLizVFE67a3DzH6WJY5nidX6iHCZ1qdR2/Al2ritiK/brgVqZJAawn9o4rYusx+/C9++3e/TuaEVsFtoraJmorwDYxYNGFpR7d0da1JUU97jys1mZgGEojkYOt2Uaai/Pjjz9uf/RHf2S/+Iu/mFyss1UNpdCaaK3nz5+3v/mbv7HPfvaz9s477wTANZqhDPvxQzcqsjXmDrbmMw4c2w625qOlW9lcBbhGO9ia3xg42Jqflm7JFXAFXAFXID8FHGzNT0u31F8FHGztr75u3RVwBVwBV2B4FXCwdXjHfpB67mDrII2Wt9UVcAVcgeFRgOdoTA629mfMeebuYGt/tHWrLQWqOofnBQ/enq/bzHzNqvq5d4BCyD6OwfYUcL+MxF9vYrP31va9RqYzATw7tnWuqj8kgYSdWzrW09uby0uz9LYmu9rUYmnL0gJmk5Vkl9Koua2Z24RT23e/avNicRnJBLaqfNJExqjZgGgjPQ/2KNI5tulCcXkVW7FYmKtsMNnLroBRoqLSBk0KEbkEt7JcV2aYZC8ArTouq4rSyvKCwNZ5TbOCWmcFtd6ZW9Cy5lq+PW+aOI7rNrdY1fK83ZmfU5k5adKwUtnswI4xO3Vwp/3nh47Yw8f22JHdEzY1UrbRcgtiTeBb2l8MWvbqSVvXM6w42JpBJBwKB1szCKUiXJyfeOKJALZ+4hOfCOvZaraXQvNqtWpnzpyxP/7jP7a//Mu/tDmdONwoI7Hd09ZSwMHWfMbDwdZ8dHQrm68A12kHW/MbBwdb89PSLbkCroAr4Arkp4CDrflp6Zb6q4CDrf3V1627Aq6AK+AKDK8CDrYO79gPUs8dbB2k0fK2ugKugCswPArwHI3Jwdb+jLmDrf3R1a22K5CAhElUTCJjQjMFkok/IvtiHNAW5Kec1kq7sT6uZcOrUgxWhgqxH927k9hK/ob4r6F3S3tYWmh1emmXzW2tIlwrW+VYal/v2NheNBNb1oJak8qtFrcbi/tlHpfbS6xnTXsLInZXMm2xFI4oWgfESuRWzVUtOe7IbeaLq6tXNQlWbQC4qjDTwqKisypyKxFbmc8KZJ1RxGGiDs8Izr45u2iXb922y9eu2+UrV22k1LDJ0bKdPLLXHji6zz506oDdo2iteyZGBLUWrVLieE7aXSdaq5YLBYGtavTqvUn3rPeyg6299QlbcSgcbM0glIpw0P7cz/1cAFt/4Rd+Yekgzla7vVR05gBan3vuOfvUpz5l3/nOdwIoFbe11/C1zVTAwdZ81HewNR8d3crmK8B12sHW/MbBwdb8tHRLroAr4Aq4Avkp4GBrflq6pf4q4GBrf/V1666AK+AKuALDq4CDrcM79oPUcwdbB2m0vK2ugCvgCgyPApF3cLC1P2PuYGt/dHWr7QqAVIZzGaRQz8YbinCp2VKK0B8ZQv665i9l9mkh3Z7eu0g1PLXYtY660upNZ4nllWNOnIcabSsRFJXVZj6QZkydfUDrbjZi+TgPNlpmYvbyeUdnOlaXykd7AKWxCUsbOxbS492xqW210QRDeykaK5S0QNvoUtu0JFuiWkNga0NQq0K6BmETCNYEtxLNtW6LmoguXK3VbK5WtTlFc51ZMLsxW7Mr07MCW2/alavXbKRQU2TWoh3bv9NOHNxtJw/vtf1Eax2rWLlUtFJRMCtJfWgAtnKUA7aqPStpGMqv8Y+DrRkE46RwsDWDUCqSF9iK5thauiDJ9o0bN+xLX/qSfe5zn7NXX33VFhYWliK4Zmudl+qnAg625qMux/2TTz5pTz31lJ0+fTqcB/lYdiuuwN1VgOu3g635ae5ga35auiVXwBVwBVyB/BRwsDU/Ld1SfxVwsLW/+rp1V8AVcAVcgeFVwMHW4R37Qeq5g62DNFreVlfAFXAFhkcBnqMxOdjanzHnmXupVApTMcJX/dmVWx1iBRK4sPm3eU5H+BGyj+MwJIrE5VyRv8R8L4iQXZPiPFnr/RdMMe+UIJctq5JrWaMaSejSZqGkDaFcq1qoEzmyZdvS5aKVLIV6CZi22bRFdN7VzC6Nfbr+Ssvh2Fi9EUXtlFJLWjaPqSDb0vEl3SgnuLUgkFVQaPPY06iqDBaSSRsbNWvU5zVbsNvVkk0Lbr12u2bXp2+Lz7tpI41FGy/Wbe/UmO3ZOW579uyyqclxGxmpBKg19LHZ9oaAVhPcSh5tXGrOSn1eQ76DrRnE4qRwsDWDUCrCQfrEE0+EiK2f+MQnwnq2mquXis7dmTNn7E/+5E/s7/7u7+zs2bO2uLgY9sNNtHhxiBey1a16ibwUcLA1HyU5hh1szUdLt7K5CnAddrA1vzFwsDU/Ld2SK+AKuAKuQH4KONian5Zuqb8KONjaX33duivgCrgCrsDwKuBg6/CO/SD13MHWQRotb6sr4Aq4AsOjQGQfHGztz5jzzN3B1v5o61ZbCgAYJpAhfxUlE4iQKSThfcl/SEQlcD9mzXmy1uXvatu7VMFs9+xk19oWmhCbtkLZUEqGMoGtvWwtaUDDorVWhba2NLOTmXa+VGxpIeQtrYUF6a15c3HF3rAhjM9S5S5Fg3C9CrTqxG7VVwNbm4ORIJ6r2U4KJ5FbmxVbu2wuCUVtmmmWbsqktVhl6bhKCjbqzZixrDa3JUBrolujkYCtBYGtVl+0hXrJ5mtFu7NoNruwaPNz81asL1hZ20aKDRsbKduOnTtsYmLcRsdGrFhU/FjZDXsJbRDY2txPyI3tWtaXtWc42JpBMy4+DrZmEEpF+gW2RscuDa6+/PLL9nu/93v20ksv2blz55IPiWYbIuQaPjiyNd1LbVABB1s3KGCzuoOt+ejoVjZfAa6/DrbmNw4OtuanpVtyBVwBV8AVyE8BB1vz09It9VcBB1v7q69bdwVcAVfAFRheBRxsHd6xH6SeO9g6SKPlbXUFXAFXYHgUiPyDg639GXMHW/ujq1ttVwBoEqA1wScj2Noq084aNkm/pcxWufYlymWjArOVSqxnY6dAH9n9ajCmehwpz25F47Zgq9nKps1QPNZpzuOqQoomjU3/TZcJy0CtSWZ6N+kq6eVYNp23fDngr8uzO3Li/pivbjf2pdmBDlut1ahPEkm1ld9aCiXizjuPjbgbzVlkbwFgDVoSRbW5oWmO7fXQAaK11gSvKpCkpnqhZLVGyaqqJ26XDlqjuqhp3mqL87JSt4mpKRsfB2wds2IpsR0ZvgRqTRrD36X85n43MnOwNYN6HJAOtmYQSkU4OPsVsZUWdF4cbt68ad/4xjfsT//0T+2NN96wa9euLZXpLJutB15qvQo42Lpe5drrcQ55xNZ2TXxtMBXgGuxga35j52Brflq6JVfAFXAFXIH8FHCwNT8t3VJ/FXCwtb/6unVXwBVwBVyB4VXAwdbhHftB6rmDrYM0Wt5WV8AVcAWGRwGeozE52NqfMeeZu0ds7Y+2brWlADgk/0AJk4itrW0J4tdaX1rSsbnitlgo+W35uLbifFU7qZqZ+KkmfJrYpV9dUjM76Xdze2dRXdtiCkvqMxqRwt/09lZRbYw9ivOkRqp4uG7GvqTzg/Euf0I70/tYKtOe2b62VCi1oBJL7Yu9SW1ethj7sJrlpFxAioNOywwlGcFMjH67QplmNkWT4rLN8cZMeUxoRrTWMOlX0RtxCvlmNdaJ5iq6tS7wtVarWnVxIdiYnJy08RCxdTREbOU629lk9sGe2JZXcrA1g5KcFA62ZhBKRTg4+wm20grGI54ELDNduHDBnn76aXvmmWeMSK6zs7MhP1urvVQeCjjYmoeKyTnkYGs+WrqVzVWAa7ODrfmNgYOt+WnpllwBV8AVcAXyU8DB1vy0dEv9VcDB1v7q69ZdAVfAFXAFhlcBB1uHd+wHqefDALbqVqyeiYXnz2FoeI4cJq3l+Ex504advtXonx6w1wiKpkS/ysWCHqprubkeNvgfV8AVcAUGRIHIOTjY2p8BgydxsLU/2rrVdgUAJwM8yV/5K6SuSF/XzKT8sr8ZwNa1mJOnGHbRbN6y3cWMls0eJcOm7tuDDulNEqQZAzaIwnUvSYlizWbF3Teb2dGK1P5idSKOxuVosWUkvaStqQLJYiojXTQut21uW4klNG+1MZXZZTFrOTWz0Iyu2sVKzEpak4JbQ0ZHG5t5QWH8ZF0L8ZuLS21WAfQTwIqORGeFY00A15rVBbImGQ2r1mpWVblqVXmyEcDWELF1NFxfg+3YuKbQSY8dbF2S5W4tcHI52JpNbQ7cfoOttIQxYV9xmfWivr2++KMX7X/82f+w73//+/bKK68kJ5gKUbZ1kQzV/E/OCjjYmo+gHKsOtuajpVvZXAW45jrYmt8YONian5ZuyRVwBVwBVyA/BRxszU9Lt9RfBRxs7a++bt0VcAVcAVdgeBVwsHV4x36Qer7dwVbdhg2wZ1XkZ5WH0loH9ixrKpUEfvIgO3mcNkjD1tZW+jW/0LBZTXc00R+g1onRgo1WzCrqJ48Mm48N2+r6iivgCrgCW1UBnqMxOdjanxHimbuDrf3R1q12U6AFWsobC/+XSkUHpc0fU5kVkwqGzW0VlpdeZfPyCuT02m9gF7tXo2ao2lk/8cHatqlIgCqbluI25iG/aWKpTJvJ9k4ldTHULI2Npp2wLSw3d9R11jLespXY61o8nRmqtuqnNyWMaHtb27Y3V6ROb1Gb5RL4l7K9bSZ9T4Gt1G/vmCm6KZn6X5c5uLrEbOTrkl1KT5VLughLVwhAa0NQa722yNtkwUZVb5QtKmrrYrWmsgWbmpqyMcDW0ZFwfYXRY/+0GnvsN9mPg62JznfxLwPgYGs2wTlI7wbY2q014cTTWC0sLNh3v/td+/M//3P70Y9+ZGfOnAnFkxMpqclyPHHT+d3sel42BRxszabTaqU4Lh1sXU0l3z4ICnBtdbA1v5FysDU/Ld2SK+AKuAKuQH4KONian5Zuqb8KONjaX33duivgCrgCrsDwKuBg6/CO/SD1fDuDrTxzJpIp0OfcoibNibxUFug5OiLwUxPLQK6rPCffskPKI/I7cw27eLNmV6frdm1G/VN/xioF27+zaHumijY1BuAqgEn5nlwBV8AVGBQFeI7G5GBrf0aMZ+4OtvZHW7e6ggKBEmTb0kKzYBNWTDGLTaRwBUPNgp1m0qVTttLZG1nuZXItTFVn2bjOPHRJc9JS95rrSdtbrYj1knzKqwb/k1mYBztLhmLJ9Dy1sVkv2ZrKTxfvWO5sQ9yc+NWttsb89c9lKxjtbTNpdSfYyl5b/QkWgqYCW5UfSmN7memkDlBr0FQAa0MRWuv1ahK9VZk1orUqb4GIrTIwNTnZFWwNLQj7jN85HGxFk7uaOFgdbM0m+WaCrbGFjBc31M6fP2/f+MY37G//9m9DBNerV6+G/FiO+UoXonQZX86mgIOt2XRarZSDrasp5NsHRYF4LeZ6zM1jv95ubOQcbN2Yfl7bFXAFXAFXoD8KONjaH13dav4KONiav6Zu0RVwBVwBV8AVQAEHW/04GAQFtivYyrNjIpkuVhs2PVvX1LCZOT18Vt5IuWA7xwu2a7IYAFDWiXKaPIQfhFFrtZF+Xr5Vt9feW7S3L9fs3LWajQjWBWY9ebBkx/eX7ODuku3QOv0cxD62eutLroArMEwK8NyMycHW/oy6g6390dWtDp8C8Rl/nKcV4DwjdW7rXO8sE5BKnLxmWq18uj61YtU4j3Z6zdP7SC9TJ/YjXb+zTHq9W/l0XZbT5Tu3ta9H4pR5XG4vEdey7DcpG1RqVmvpHO10zmlrnPjuxPd81utarhGxdVFRXJWmJidsXBFbR0ZaEVtjP+M8tjHOO/e1nnVFoV3LUK9nF4NfB4kcbM02jhycmxWxNbYwfUhzgr3++uv21a9+NUCuzz//vAEHkdLlYl2fr18BB1vXr126JueQR2xNK+LLg6oA11icHgdb8xnBQQFbM3mVvX3yfATbDlZW/56x9P3GJd0OA+59cAUGUwEHWwdz3Iax1Q62DuOoe59dAVfAFXAF7oYCDrbeDZV9HxtVYDuCrdyDYyJK6+xCPUQyvXmHZSIrNRS5tGC7J4ohoikA6MRo0filUODWQUrcHtPzdDtzqWb/+PKcva35tZm6IrYWbHzU7N4DJTt1sGynj5Tt4K6i7VSfB62PgzQe3lZXwBXIVwGeozE52JqvrtEaz9w9YmtUw+euwPoViFxVnK9mqVu5zrzV1tlHukz7srY1G4E/nDW122iv2A3CTJdnH53rWfabrU500Hv/9EC3NvZuA32MU++SbKWtTBFsJS8uJ2BrwyYnAFvHHGxFnK2WGDwHW7ONCifTZoKtjFU8oVmOCYfwhRdeCIDrP/zDP9grr7yyRJnHMtRL14n5Ps+mgIOt2XRarRTHoYOtq6nk2wdBAa6nDrbmN1JbHWzlIzd86rY+elfufPTP43zlksO5JWrYnDOLWVGQKJ0+MkJiHvNiGZ+vrEA3fy/6jyvX2p5bXIvtOa53s1cOtt5NtX1fG1HAwdaNqOd1XYF2Bdx/6K2H+5UtfYZVi5YCw7HkYOtwjPOg93K7gq0ArLfnG3brTt0uKaIpwCfRWxVrIEQt3aNorYf3lAS4Et20aGVFOQVuHaTEPcdFga2vvlO1L31vVhFbq3ZHfQZeHa0U7MS+ot0vqPWDJyt2jyDXAztLgnoHqYfeVlfAFRhmBfhuxeRga3+OAr6PONjaH23d6nApEO8DxXmv3ncr05nXuY69Xnmd25aeSYd6vVrTvi1tJ71MqW73LzrLdK63W1++trbyPOWN03JbMadbO+O29nl8utz5hLm9VHqN9jLx3SkuR9Yjgq0TE+M2PiawdXRUPjcvzhWXxi72N7YxztP7WO+yR2zNoBwD4GBrBqFUhINzM8HWXq3kBLx69ap95zvfsWeeeca+/e1v27lz5wJ4FevFky2u+zy7Ag62ZteqV0nOIQdbeynk2wZFAa6n0dmJDtCgtH0rtnMrg626h66xJhqE5k0/udNNDtCl/gQAsznfijpviTZJPJ0+QUv0ZFn/21L8asPDCG7WE4Vj2G7ac41Zz5ci6nFNSl+XyuVy+PLFF7BhSegQr9NoERM3+tBhmLSIfff5+hTg+KlWq+F71q1bt8IyP0Wzf/9+i+fW+ix7LVcgXwUcbM1XT7c2+Aqs15dKf8eLKuA34EPgm63HP4t2Bm0efSlu7kc9+eyLWgxafzbS3vRxEbUY1uNiIzoOal3G/+bNmzY9PW2zs7PhuwT+4ESI5DI+qN3ydm8zBfjewr2169ev26VLl+zQoUPhOwvHaaVSGcjecs+oVmvYzFzDbtwW2HpTkUw1B2rlXhJpz5TA1t1F26UopjvGCwnYGj6vk+2D8Je+LAjWfe3dqn35OcDWmt1WnwFbRwS2HttbsvsPl+xDpxxsHYTx9Da6Aq5AuwL4zkwOtrbrktca308dbM1LTbczzApwnSLFeacWnfmd6yvV7SzXud5ZL71dTwjDw9Om29vZpK7rbfWbfYoFu93PSpfvbEu39Wirc95pp3N7ArSSG5/+Li8Rc7q1M25bPkedOC3f2i2HtvIdn3mcWF9cXAjrE/quPzY26mBrN/E2O48Bc7A12yhwIm1VsJUeMJYLCwv2zjvv2D/90z/Zl770Jfve975nMzMzYVssk623XiqtgIOtaTXWv8w55GDr+vXzmltHAa63nQ+3tk7rBq8lWxlsndfN5QX97Nn8ollVfFyEMRNnOdGaa1sCYSY/hZZAmDjonjoV0FeFoCNacuM+DQyHspJN779Jz4KNlM3GRwo2xqSb+ds1cT0hpecsxy9wK8079eCaxMMsHrYCOAEhUHfnzp36IjYWHmZFW511t9s6WgAjRi3QE/iAB9BRC4dbt9uo96c/Drb2R1e3mr8CDrbmr6lbHAwFov9Ea+Mycyb8nrTvE5fjvLOHyY3sxQAG4UOwTkr7Dzw0HIaEfnwGzs3NBUiKZaDWHTt22NTUVPCrVtKxU5/0uMRtsW6cx/ws8zi+sWw3G3GflGF7tzKxfpY531eZOC7QAnv4lABjEfbNYsfLDKYCXAscbB3MsRumVnNt2q5g6607Cdh6UWDrdYGt+ohaSruJ2ArYqvnOsSbYqvtJukwPTKI/RKF9/XzV/uf35wLYFO1cngAAQABJREFUOq0+0wfuh53YV7L7BLY+cqJix7S8TzAv9yA9uQKugCswCApE393B1v6MFt9LHGztj7ZudbgUiPcQ4jzd+868znXKZslba5nE59Uvcqcbs8pyeh/pZap1uy/SWSa9nl5eZbdd+7+8Dg56nJZvjTnd2hm3tc9RJqoT5+0luq3RL77jx/7F9Qi2jo+P2ZiitY5q4hkiU7osNmMb47zbftaa5xFbMyjGQDjYmkEoFeHg3Opga+wJD7Z+8pOfhAiun//85+21115bgrBiGZ9nV8DB1uxa9SrJOeRgay+FfNugKBAdHZwfbh5Hp2ZQ2r/V2rmVwdab+rkzpuk7Fn4KbFHRIpLIrU1HmZsHuqFc0c+djSoIxkhZQKYgzAG6h35XDwe0m1vgp+TqIQLFvKBhfnItJnSLUOtORdvYu6Noe3XTnigc2zGlryXpZa4tfGbGL05xOT3v1AOQlXPp4sWLduHChfAmPA/aT548GSK1TE5OhhtdnfW24zpacMP08uXLQQu0RYuDBw/a3r17A+zLuidXYDUF+Iz3iK2rqeTbt4ICDrZuhVHwNtxtBfh8jxO+U7wxHZfTfhQ+VPSjyGe5M3G958Xwa9euhWh3+BMk/Id9+/YFqJMb28OQ0BC/El+Ke4sAroCc9957r91zzz3hhakskG96fPhMJaXHgbFYS8JeHF+WSdhLtyVuZ459tq005ln2zX6AGm/cuBGOC+BW7HFMHDlyJMCtw3JcZNFrO5bhWHKwdTuO7Pbq03YFW6u6Bzc9W7frM0RsTebpx9bbAmzVoajLjL1zuWrPvrpgb1/SLzNO10P02cnRgp0W1HrqkO7tHBTUqntk5HVxY7bXAe29cQVcgW2jQPw+4GBrf4Y0fheK33n6sxe36gpsfwXi/YU4jz3uXCc/5sV5LJued27rXE/b6VwO60t/QDeX379ic7eU3k96mbLd7oN1lkmvp5e77Yu8LGVadelHnFq5nUvd2tlZJlnnW0H8ZhDn3UuSS1uxzZzv+CTW4z0k7gGybVzRWkdHRxxsDQptsT8MkIOt2QaFg3srg630Ip6UcZmfzPz+v33fvv6Nr9vTTz9tV65cCZ2lnKfsCjjYml2rXiU5hxxs7aWQbxsUBbiGRmfHwdaNj9pWBlsv3KjZhRu6ga7ppiJDzAnEJMpo8jGaOMIVBW4aFcw6qegQE7rBPDHKw/KN67IdLdRFtsZoG1f1YIKfVyMibvRKQILL0hMdD+4q2j0HinZ8X9mO6qfXtlPiGsIUj/34s5as8wWKiRtSwJc8KGeKP3UZI0N1gplE7Qdseuutt8KED8hPDj766KN27Ngx27VrV7DJZ/F2T+jIw+d33303aMH1emRkJIAYAAiACKx7cgVWU8DB1tUU8u1bRYGtDrbiN4XP+uYHfvzcv1v6hU8+/YmfgN0+CmP72uY5N7CtHan25LyboTAXv4/xmQ90CZDKw1L8IfwoIFV8HvwlPvPxpeJPhxNxFB+pE6qkHj/hfP78+fBLSNglAXIeP348vByDje2eorYAnPhSzz//fNCWl6QeeeQRe/jhh4Oenb5oN13QFDv4pYChaE693bt3h8ivwLKd49DNDnm0C1vxoTi2SfjG/EJB/Klt9kUZrouMV9zXeseO/XIvlRfH+IUsjjX6cPToUTt16lTYN23wtH0V4LuEg63bd3y3S8+2Ldga7iHV7cY2Bls5BvE/rwlmff1c1c5fr4fleG/smO6HHd6TQK3cK6voHd3o026X49f74Qq4AttXAXxppujD832L72yHDx8OLw5y/3sY7lX3a4TRDg0dbO2Xwm53WBTgOkWK89jvXuud27LUyVImaQmNSUpvVbB1pf7HPi6f48HGafnWdE62zwUEilO69vLl2FbsshynuM53fu4xNRp1vdSt57EjCdzK/SqmWD/OY/vifPke157jEVszaMYAONiaQSgV4eDc6mBrZ08Y3xhl6IUXXrAvfvGL9rWvfS04kWxjiidtnHfa8HUzB1vzOQo4xhxszUdLt7K5CnDtdLA1vzGIcB8PC3EeT58+bXv27AkOI9eNzUxvXaraWxdrdkYRE4gOcXtODq6CDeEuF/SH5hGpdVw/D7Z7Uj/7PqGfP5tQpM3NbfZmStZz31VpR+QJtDx/vaZouA1FwuULY1JNgW8V8daMaK33KBrF+0+U7cGjFbv/8PaKrsk1hAdP3MwjEhYPyZnzwJQH9oAUPJwHwuAnXzkfDhw4ECKGMQcsAARIJ84jHrS//vrrIVI/8AD1P/axj4WH7tjgIfxmn1PpNvdrGQ2Jtgbk++Mf/zhcr9Hi/vvvD3AKkddY9+QKrKaAg62rKeTbt4oCWxls5TOeF+HDPH7gb4JwRITHP4uuZZzTlKYboqj8+PhNvyRm5tnWsP9WO2iD/ntahwLxpjO+09WrV+29994L4CEvC3E+4Bdx8xmoFeiRF3z2798ffCle+MG/6nyIygNWAEZgzp/+9KfBJ6Np+A8nT54MdfHBtnuKfioPn/Gl/vEf/9HQFc0ee+wx+8hHPhL80AiS9tIDG/i4b7/9tr355ptBcyBQvu8xDkTSz2KHfTDmly5dWgJMaROJh+InTpwIoCx+Ln41cDJlGXP2BYSKD72exH75nnr27Fl74403AqSLT0302oceemgJnF2Pba8zGApwDDjYOhhjNcytdLBV9+L0snlZN5Xw+fCxtkLCnczaFF6in68mEWq5V1ZSP0b0jveU+sU9x4p+IUquTWZ7W6H/3gZXwBVwBfhuweRga3+OBb7/ONjaH23d6nApwHWKFOex9+n19HJn2c5tWep32gjrrYpaEoQZ1rN6k+3t72xT23PB2N+4v+Y8XYfl9HpH0bC62vb2OvQjTu1b0mtt7UxvWLaMOolCrfmyQm0Z2E73K67He4wBbNVzw+QF+ZFwX9HB1jYJN3eFwXOwNdsYcHAPItgaewcsxM3d733ve/YHf/AH4UY9Nz1I8cITT+BYx+eJAg625nMkcHw52JqPlm5lcxXgmomjw8R1NF5DN7dVg7v3rQy2/uxi1d68ULUzF+t2UdFbZ+YbAltx6JsuuPzwUd1cnhAjt3uqaLsEtQK3Ak54Wq4AYOuVaUHCioB79poeEAawNdGT0iXdpB+RnkDC/MzaB+6p2IPHytsGbI3XjghhnDt3LjwoB3AFZmU7n5VM6cQDf6JM8XD+0KFDYeLhPF+weLBOoj43CQE5X3vttRAVC3jz8ccfD2Ar4MCwga0AFJ1gKxACGjrYmj7CfHklBRxsXUkZz99qCmxVsFVBtmyxmjykn19QpHJFaSeP6W4mPlZH9HGJzzYmMIBlYIH4cUt7avozpzbOKQgk7WxF6M+vpfg5RNkaU6R/2lERfEGep+wKxJvNvMzDSywXL14M97nwrciLKfpS0bfiRjQvBfGiD74AMCR+Fb4UDwJJEWwFjORFIV6UIT3wwAPBl+LFmGEDW3/2s5/Zt771rQC2AgjzwtRHP/rRzGBrvDadOXMm3IPEX2Vs7rvvPjt58mQAUrNGUuUzGdAWW4CyfIck+i5QK/bw7SjDNkBnwFb8ZcaPiLuM33oSxxxgKzYBnjnW8M1pfwRbgX49bV8FOAYcbN2+47tdesb1j+si9xa4/vGdl885XibI+gLBVtMC/6yqP7fubCxiK3Z0Ggf/M9zLk19Y0MR9uzjPq+9xX1XdN6xqn0zaTfD3+LWnUtP3I68zBbBVPuht3XecngVsld+o8pN6pzn4jWowYKsnV8AVcAUGSQG+jzE52NqfUeO7lYOt/dHWrQ6XAlynYkovk5deTy+vtq339sQbTNtLtSBwmrp6YqKZkvK6kxkzVCZZI6JrQ9eCpHTrWWvaNgYpUTA5p5Rsmo65eKxksb6UGkR4ovzKqX0fK5drbcF+ah+tDW1L+OjZU7MzPSskZaJiBDYgFdFNy6wvLi6ou41wv4t7hSOKwMS9xDTY2rmLeO+xM3896x6xNYNqDJaDrRmEUhEOzkEDW2PPGGfaz5yb84AU3Jz+3d/93bborbG8z9sVcLC1XY/1rnEMOti6XvW83lZSIDg6uivqYGs+o+Jgaz46DoKVLGDrqGCPPQFsLdsH7iVia9nuO5TAm4PQx15t5GETLxoBTABd8nAeICPCFgADABNMwBWcG+nIY2znoTyRp4AyiD4GpMHnq4OtLeVjxFYHW1ua+NL6FOCcjb9+wU8bsxwhc0Bxzl1PrsBWUCDCYxyzfCbw09uAVoBeEdq72+3UrYcAh84KFr0117Cbt+s2LTCBB/zABXczSRK9hFSwKUWE3zslQGBUkTyJeqV8tgG1LgjAvaE23tJLNwAUC7p/m3c7gVppBy9C7daLUETfGpHf4ym7AlyHAVjxnwAcgQ25v8VxD7jDcQ/syLWa72r4R1y/8afwq/CbIgj54IMPhrKcJ9R3sDUZB77rci3h4fNGwdaoP74vtoCtuF7dc889wZ8FDM0KheJDv/rqqwE6JqouCUAZqBXfmM9kxpB9cUykI7YSHXajEVsdbE2Oj2H862DrMI764PWZ6/bQg63y88oB/tQja7lX4XG1/vCrSwEyVTRUwFO2lfU1juiuwKNM5G00Rd+XqKv4v8kLU43gbyaAahJ5Fd8v+KAdO+TFKoDWGfnN/FoUkWepx69CTSpqKy9o5dXWjl37qivgCrgCfVOA7xZMDrb2R2K+xzrY2h9t3epwKcB1Kp3S6+nl1cp0lk2vx+UWPJpwW2mbkThNyuK4xnbJvxXISkrmIJo4vOQVrCa/sb4EjDbhVq6/oQYltFWgqkpqXm9CrOytmEwF5mpPcIqT/RQb1VCnaaLrjHbGfnUt0OdMroGkOO+6u6U2JqwcvY5tjtAq3/m550Q+9w0BW7nHyPZetntt69qWHpkOtvYQJ25igBxsjWr0nnNwDiLYGk9O5ukTjIf+L7/8sn3hC1+wz372s+FkpUws31uN4drqYGs+483x52BrPlq6lc1VgOskjg4TN4/9urmx8XCwdWP6DVLtLGArkSj2Thbt5KEkYuv9RwBbk0hag9TXdFvjNYMH+Tdu3AgP5IkkyjqfjfFhewRV+eLEtYUvU9z4I+oKkaIoTz5ABkAA0af27dsXIrHyIJ+yHrHVwktcRHFzsDV9FPryehTgfHOwdT3KeZ27rQCfD1z3OGb5XNkKYCvgANGqrs807NKtmp2/VlP0+3r4iVX8gbuZgAcmx4qCWot2ryLCH9ipn6sFfmgCDYCtAAiXbxGhvx7aOi2oYFYRs+JN4DzaC9S6Wz7O0T1FO7avFKL8TyrPUzYF+O7FfSx+iQh4kReEom8EtEhkOo79GJ0O/4trOGWAWwFh8anws/hpeiJ5EtEu+lKcP1euXAm2PWJrPmAr+gO3ApoSSRXf7PLly0F3YNSPfOQjYcxWe1EEO4z9Sy+9FPxowGbg5ZMnTwawFbiVax9jGEFm/GKOBaL0As+yvJ7EcecRW9ej3PapwzHgEVu3z3hu155w/duuYCsvRvHyEb/8c01zfbwvJfyqw7v160ma7xwvBt+Odw/xroiASsRX/DmioAKa4psStZ8XqvHLeMmISPr6CAnTkuE1LtAmbONPXr8t3/dm3a5O1+UH19Um+aHa16Hd8kF3FW3fjmLYP3BtTNS/prJvnK/a+evyR+STArWOq96xvSXVVT35r9ipCHB17zEq53NXwBXY6grwnYzJwdb+jBTfgRxs7Y+2bnV4FOAalU6rrceysVyck59eTq+n8xOwNfHm0vnRbgu8bLUrKc1fTSFSa3O5WakhALZVWkvNlZDbXGWZ7GRTy2JiU9u4XrO1ed3mXmos3dzNsln39i8r1rcMroGrp6RPlIvFY7sdbF1dvS1VgoFzsDXbkHByDCLYulLvwgVK40+0i+eee87++3//f+y73/2XJSK9Wz00iCd7t+3bNc/B1nxGluPHwdZ8tHQrm6sA10EebjBx83gYr4t5joCDrXmqubVt9QJb+QrCL8HyYAHw5OTBsj1yT9kAW08JQhnkxLUiwnFnz54N8CnABA/ZicBKtCoACyKyEgWSG1LxOsNDfCAL4A2gAB7kA2AcOXLEiDRGPR7UYz8PsJX9xgnN+eyOU5Yx6LweUne11FmH8lnrURd9YxuZA1A42Lqa6r49iwJ8xsdz1yO2ZlHMy2yWAlsRbAUmWFTEKmDRd69U7a1LNXvncs3mFI2KyFl3M/FJRKSr/TtK9sDRkp0QVHpQYAEv0xC5lbbOLiRQ63tXa3ZGbQUoAKIQD9G86bvxFk+pDewXH+f+wyXbK7ABCMNTNgX4zgBcRuRPIFUiaAKpAi6ePJn8rD2+FMAj/kD0Z3j5h/teQJH4U8CtvEx06tSpUI+XhYjIQPk8wFb8krRvk/ZRsvQ0XZfy1F8tracONqkXJ9bjvugDfuVGI7Zih89SoqfiA7/yyisBHGac0P/xxx8PkVQZx14pwskvvvhigGP5TGYM3/e+94Ux5JcMSPQlfnYzx6fGt84SZT3qwJwUx431PMBW7KBHTNF+1Dzmr2UebTJP29uIzbXsf1jKMm4Otg7LaA9uP7nmbUewlZePpmebYKtgUUDR4Jsll2r92k8xQJ8ArjsUDT+J2KpruIZyUaApfieR+G8KNr0zr4j8itAPaDqh6P07VX6H/LAd8s+AYZOH9+s7BupqFJFa2c+56/Xg956TT3nhRi1EWt2hF6ruPVAOL1jde6Ck/SZwLXujK3w84IN+78cLqlsNL1qNKNI/L2ad0ove3BOjHr4jvzyQwTVYX0e8livgCrgCOSuAn8rkYGvOwjbN4fc72Nofbd3qcCjA9SmdOtfZ1iuvc1t6PS7HedwPUVJj6tyW5CfXzbic3BHib3MKTY7riS+p0KraHqfmYpgl/WsIhiWiKxFZmYf7B8Gi7iWgAVFc5ZA26pF3kHOqKK6r3Vvo3n4ZvktptfYlzaB/iTaxfGy3g613aaDy2g0D52BrNjU52LcT2Bp7zY0P+sZPs/31X/+1ffKTnwzQBPkxakI8weM81h2WuYOt+Yw0x5mDrflo6VY2VwGuhTzciA/qhvXamNcoONial5Jb305PsFXfxSpNsJUIFkAfDx3fHmArPhWAKj+byk+o8mCfaFWAqUSrIvIqUAY/hYvvFb9QcW0BquPhPXWoT7QrfgaDn9mlPtFb9+7du3STcCMRW+P+iBRLm0kRBmAev/j1OtLitZEylKcvveqxz/REvVhntXrsC1iFa0i6neQBrXjEVtT0tBEFOA8cbN2Igl73bimwVcHWBT3gJ2LVOwJbf3YBsFVRFxfMFgQa3M3E7d74U65EbD0psAA/g6itROuiNUC4RNgCQABsPacIs0SZTX6+Np/2Ak4QrQtA4QG9uIO/s0tQRb9SutVoMMgJX4HPdl7weeONN8Kch6P4QPhC+FJEXwWQxCdIJ67l+Ar4UYCtvFxEHlFe8aWY8KvwOzYKttJO/ChesiFhkzbhu7Hcy7ehfPSJ8HFIsU6ch8yOP93q4EuReu0vfpdFC9pM2QiCspwH2BrbxgtHwK2ArYwB+zl8+HCI2MpLWkCqvdpKfcb+tddeC0AzduP48csH2CKRH31R5uiQnkKhFf7Ez3z8SFL0LakP2Iov/tOf/jQAjoznyZMnw8tpMUL2CmZDNu3CPsdFbBf2s/y03Up2Yz85tvFV0A97fJ9guZeeK9n0/O4KoLWDrd218dytowDXGK4HfFZyveUzkUjmMYr51mlp9pbo0qmXjwRDKYr+TcGtl+WjXdMvAQCsKlvXOQtg6xH5VrsmCzYVI7YqHx+ICK0zcwkMCxAL5Mo9qZI+IhOwtRDqA8XGKP7ZW9deknbeUVRY/N4zepHr9bPVAKpeEOTKS1T4gMf3l/Tidsnef6Kil62Kam/indHPqj72idb6tR/M2VsXa3ZTMC7tJJrsCdW7Ty9Evf94xY4qeisvgjc/5tsb4WuugCvgCmxBBeL3AQdb+zM4+PwOtvZHW7e6/RXg+pRO6fX0cizTmde5Tjny0vnLl+X/4cQGSDUpH+235thgLYntmuQnfiP1YsTXuJV5XZtVKxRtVm0ta6lVO1mmCeSFO6IBalWtME/A1sQWhWLNYG7Zn3T/lm28CxnZ7nvQN1SRUs3+xHZzv4dlvvNzX4xlXnyP9/HYHut0606vbd3K98oTYJwMe69Cw74NiRxszXYUcHBuR7A13lRFBZaJevG5z33OPvOZz4Qb2dwYiQkNOGaG7dRysDUeARubc/w42LoxDb321lCAayDXSyaukcN2Tcx7FLj5DpDBA0OcR0A/IL/VnMa829HN3s8uVu3NC1U7c5EoXjWb0Y1qbqLjYQbHX39GdZN6YtRst24u75oohKgPG4n00K0dm5UX+0h/uHFexPFP/oevSehAZAoeKjCx3iutBLZiDNP8pBqAyf6dSTSLB48OPtjK9YEH5LxABGj57//+7+HBKA+gH3vsMXv44YfD8c4DJ25EdX4Zoj7nx9WrV0OEK2xwznB+cK4QoYrordTjJuFawVbagT0etMeJdfJJPHTnixxf6IiAlv5i1znWXBN5kEZfuTbyYD0Cu52QCXXpG/ui3YC/6IR9tAAw6ayDfdqFHpSnvXEe28k+SWzDp0Uv9oPd+++/P+jFQ75YLhT2P67ACgpwHHPMcf55xNYVRPLsLaHAlgVbBRDwgP/tALZW7W0Bo7PKI1rW3U74MkRo5adc71HEqweOVOyAftKVSF/4IPqoCEDCFf1sLBGziDJLhFl+upaflWX7RhPRuQ4pYut9h8uKHFsOUEPeYKs+KgMEAiDBMv4bkcmIYEY/BzXhA8SXfPhsBzID4gNq5PMdeAfAcCVfimv5jRs3gi/1/e9/P1zT8Q3wwx555JEQNZ+60d8CfsXHID3wwAN26tSpEGV/cnKyTcL4fZCy0SeJ/hQF8c/wOZjYX/Sl8FvYXzrxmYMvhB3OafwX/D18IurR304/kfrUQQ/qsUwb+VUA9sl+0nXi51r0odgPvlgabKWd7IuE5t/5zndCxFuirH7sYx+zj370o6EvsUwo2OMP/cA3BE7FTwVsZb/Ye//73x98M+BW+rpSoh1nFKWXsQc+RhPqMDb8+gH+JmNMP+I4oAU+LH4l+nX6frSL8aMtTNRDCyYS2sWxQ1/2ywtmRP+l7ydPrgy2Ypsp6hzbxJx9Mia0Dfu0LbYPu53HRdSEekzRZjzOaC99xyb1Gb84YZf9bIXv1bEfgzhHdwdbB3HkhqvNXN+5Hmw3sLWuayl+GP7YVUXTB1DlxSmi7ePbAaUSDZ/IqxOCR0vKJB+3jXpEa70m3+4aYKvWq7pxhU/EfSd8sD26j8fEvajyyh9Dqx5MVd0npI0XbtT1MlfVXntPfuQVRWwNYKsJbC0GQPXBY2X74L3l0GYixpLUxfAiFXW+/K+zwV+eUXRZtgLFHt2b+I4fPlUJUVsP7ioF6DVU9j+ugCvgCmxxBaJf7GBrfwaK7wB8f2Dq9X2qP3t3q67A4CrAtSmd0uvp5bWUide7WKfTTrIuR1XnbZIS5iqWT88pG0vFsszJTbYEJDVEYCW/LpvtPUp8TLaRQi3ZxE/mTlRiO6mhuxdiWrmHkdxzCO1En/YGBDudfzr72Lm93+vp+13d99VUJYy3g63dNRqgXA44B1uzDRgnx3YDW8OFUf2KN1bpI3nc1H3++ecD3Pqtb30r3LjlBglpsy9S2UYr31IOtuajJ8eXg635aOlWNlcBroPxwRLXxmG8LuY5Atx853PHwdY8Vd24Lb636LKtGyNJlDN+Bo1oZzxzTvwFRZXQzXtAXx4sLApSWQ1urcqVuDKtnyPVzf6z1/SA8E4S1YJvXeyLm/bhp4J3Feye/WUDbD0t+IOfXRvUxDWCB888zAeSAKYgD+gAv5IH+t3Ag3R/eTDPQ3Qe6vNAn4dV2ARqPXnyZJhzA2utYCvXLuoAcRBBlsgurHM+co0jYZeH4wAERMYCHiA6GuscBzFhC5iAiLQ89OfBPeXoH7ABUEG6PPWow77pF1G4eGDMPoi6RfS1TniEh/boALBKeeqyH/bLzTse5rOfCDCg07lz58J+ebDvYGscLZ9nVYBzleOOY83B1qyqebnNUIDrNp8zHLNca2MEQT5fuI5vRgI4WNhCYCsaAHhOCXog2tUDRyt2XPPDe4rB/yAqFlFbp2cF494S2Cqo9S2BuFcFQ9y4rZu78lX0sbWhdDfAVn4GF3CDqGH4ZmPiE8cFbxCZjD4OasIvIVIrE2AkvtG+ffvCSz78HD0+A/5Kp68R+4vPwXeO8+fP23PPPRf8CK7vgK2PPvpoOGfwI7jeE9k1C9gafR98EeziRwE/4kvhm7Cd9kT/hPZGP4f2cn6m20v7+KzBx8F/oc/Uveeee0I9fC9gy86E/xSj2FIf2Pek/EOioLKfNNSI/8j1gn3QXvqLbxXBSK4X+FHsCz8OIPWFF14I/tZ6wVbayz7ZD34s48f+adepU6cCnErU3F7XKvpHtFbGBn2BWtGFl7xiPxkH2ht9RLRgGy+AoTv+aDpxvWSc8EPxLQGfaSPHFmNH+9CBicT4ML7MGRc0fuihh5aut2nbjB32aQvHBn429rEdfWxscMziWzMBZ0cgOX1cYJf2MEbsG1vY5JrP2NMH9kXi+ABkTR9r9DvCraGQ/1mzAoyZg61rls0r3GUFuA5wjdhWYKs01OUv+Gfz8mluztTslvw0/JwAtsqvAQ4FTAVUJbopD+sLzdsUS2CroFbg1juArbp/RXTWSZUHil0CW5W3ET8pgq280PWmIq6+9q5e6NIvFRD9n/tcO/US/Em9WPXgsYo9em/ychV+ISnpo9krqvP/fndWEV/5hYPE6ayoj4f2KGKrov0/dnokRP0/ovWNtDXs1P+4Aq6AK3CXFMCPZcKHxz/ncwqfmHu/+L58B+j0fe9S07bFbtAODZn4/uLJFXAFVleAa1I6xfU4T2+Ly+lt6WW2p9fjcpx3bpen2nJWtZwuF/cV6ySeYtOxDfsJeGqAWelBIzi92GuabBVla/wf5tQsqt+KT8peNSWFsYEc3PPkhbIkiBF19UKuJuVqWjmt1P6Va+S7JevnB31GiFg+tpvrJst854/38bhPwz0U7tmwPdbp1vJe27qV75XnEVt7qdPcxmA52JpBKBXh4NxuYCs95xiIJ15cZs7Ejbsvf/nLAXAFVIg3eLMptn1KOdiaz1hynDnYmo+WbmVzFeD6iKPDxM1j1j2tXwFuvvOw08HW9WuYd02+E/FAAJCVhwMAEcxHBUcUtYGvPXzZ4eb9vKAVbroHgELrwKucEt3OihXBVtljn0S/5efYiKDGz63dr5/pHWSwlWsD1whu3vFgm58v/eEPfxi+GPGAnahXwBir3XyKD6l4gM15wo1AwARs8CCcCKQk9pM1YisPx/HzABriw3EeuHNdo93xZhjrfH6zDhwA5AAgwMN3AAe+4JEox5c/XoyiDYAB3KR8/PHHQxu5WRn9TcqzDyb6A+DwzjvvhLYAKgDsEoEL+yRs0974kA5wFrCAfdCu+CUz6sicB/tsRzO+iGLLwdYgp/9ZgwKcexx7DrauQTQvuikKONiaTfbg24gL3Keffz2hF2hO6sWZew+Uw8/DjiuaKzdx5xYFTghkPXe9FiK2MgdSwN/Bj9lI6hfYqmaHttHGG4pMRjQz/DJ+FpefqwXaoM+AHIOYoj+FfwFwis9AHgAn/gK+FJ/13aDPdH+5puPr/OQnPwn+AX4LL9LgdwAv4qdkBVuxRX38jAgaUhdfjERbsEc7+RxhGWAUyBD/CD8Knwq4NfpSgJn4OvQP34h6bAf6PH78ePDDYtl0v9jvj370owB90h5gT4Bd4Eb8H/yi6KdhHx8KcJZ24yvRF+zS5rQvxUtBXFuAUSmDrfVEbKWt3EvEd6VvTICqrKMFcOiHP/zh0Ia0r0i96AMCtb788suhzeTdd999dvJk8nIX8C7jT18YX+zjX9JXNKYcxwo+c0yMC34w/jmwLHrQHjRHB/zL6E9G/egDPjh12eepU6eWga1so33xoT3QLG3huKB+PEYph6aURdfoX+Pb82JC+qUEylAXaJexo83YZGzIj34wfcMmfWDssIu+fE/APm2Ox2XUwefZFGAMHGzNppWX2jwFOP+3G9iKmtxXUtdCpNU7c8m9J/wdwFZ9vBn+G/eQgEe5f1WQqxO9HV7Apg6+0U1NAWwVIMuLTtQDig2T6hPFVZf+dSfaM6d2ERn2PUVqBW49q18AuKRffqJt+IDc4zolQPX04YqgWt1nUxtI+kgIv2YQwVaA2Fn5cfSdth5ShNb7DpfsYwJbmTvYGmTzP66AKzAgCuD3MuEPRx8ZHxY/1cHWjQ8i35/4vhK/x23coltwBba/AlyTYorLcR7z0/P0tvQyZdLrcTnOo43OdStEpzO5ZxTLpefUifBpyG+AZmqS+6indU24NVnnF5tmF3UvgAe2oWv8SXzJpG5YDYvJdvnLwb6eAcpesQDwyjx5SYy8QsgLe0rqdfm7rF9dytyNrM77SN32iXpoEsvGtnPvh2W+8zvY2k25LZbHYDnYmm1QONi3I9iapfdf//rX7VOf+lSI1MCJPWzJwdZ8RpxzyMHWfLR0K5urQHR0cHa4eRydoM1t1eDu3cHWrTd2fHmp6Ab62Ih+0k2RzbjZH+FWbvaznRv3RDbjocK0HhbwE28ArtzMZ5tczGWpF9iKXeBZ9gfYelw3/fmp3kEHW/GbeBDNA3PA1ldeeSU8aAZQ4CE+D8X5fIxfqpaJpox4zeGBOzcCOWewy0NrIAkeVPMQm21ZwFbsAU9EuICH7vGBO7aYYhQxyvHgnIkH5+wTCCROMYpVfOjOz9UCV3CzEojg53/+50NULaDYdB9pAxMRsoBUfvazn4UH9cAlABn8LDAP9kn0lXac0U/QMgEgoCn1eWgPJBIf1FMOneJ1hXZzoxS4w8HWIKf/WYMCERBxsHUNonnRTVGAax1AG8cs19rtFrFVbkeLUlhNYfkfXVyQpVqSJ0TpAvTEz3hQL9Hsl9+xS5G00A4YFH/msmBWoNa3FbX1PYEJRHLFx9lI6gfYqo/C4HMBshJZ9rx+8vasooPN6ids6SsQxbF9pRClFrBiEFP0MXjZGp8B34HPfeDGCLYydmk/Y6V+4h9wrkSIER8BXwIfh/1wvcc/Wi1ia/Qz8F+AUIFE8aVoF74R5yA3yLGJT8S26LvhkxBtFJ8H/whfjsR5DLiITeDbCLYSUfbkyZMBTqSdnYnIq0ShpR3UBxT90Ic+FIBG2sFDTh4eA37i80XwEx3QDN+OdkSYEm3iRLsB+ugXOq0XbOXaxASQiR/34osvhnFAf3y+j3/840v7T/ePdtMWoNaXXnop9AENAHfxofE1aTda4xsyfoC49BMtAEU5RtCaF7NI+I+MCzpglxe8qEcficxBP6MWcf/4l9HHZP/oir/aGbGVPjLO+P3Au8xpB3XQOY4H5TguaDOJY4DvBkz0iWOItpA4DiiHdhwbMdJubC9jR1n6xXgB91KHBMzLS2NoBUzNftDK09oU4HhxsHVtmnnpu68A1xU+m+LLoEDt8bzv9tlx91u4/j3i6/Ccnl8L4vLGnDyYgIpeWOIFaV7ADg/hU7vhIT/3rGZ0v+r2XHK/irolFRwTVDqpaPZEbiXaa6i7ATeJ9mCbfQUfUr4YL0YR+b+i9k1pH0f3Fu0IvxawO7m/BohLou6C+gXY+iVFbH2nA2w9CNgqIBaw9TRgq2x4xNbUQPuiK+AKbGkF8FGjn+pga/5Dxfc5B1vz19Utbm8FuCaROufpXsdtvfLSZeJynMd66fWwrHO2kAFsxUEsQLEqAbSS6sRb1WJdNpiTD3o6u1i3S9MLdnsBVoGSSf9YYpk8cuoNIE5e6pfv26hpkp9aqNtIsW6jPAsuy0etKIiMfFRejFdptTVtKxjs+ifdz64F+pSZ5T4g6sV+xPKxvQ629mlg+mWWgXOwNZu6HOzDCLZyjHBT9Omnn7ZPf/rT4WZ5POGzKTf4pRxszWcMOYccbM1HS7eyuQpwDeThBhM3j4ftmpi3+vHBMA/reBDIQ0JANZzK6Gjmvc+s9n52sWpvXqjamYt1u6hICzP8rGu8iS4juqyFm+gTo2a7FQ0LKAIIlJvinYmy8a03lvud+Mqh7yYh+lj88pJln7QtgVrVl3FFsGBSn0b1wIAb8mxn4sFChFt5SADwcWu2Hm7kExmjG9y6EtiKPW7M83ABsHW/YJPjgjBObQOwleObB6E8POdhNKAEQMMpPWDmoTxgA8f5asd69MfwybjucP3hxhUPqXiwzYN3HmZnAVt5MB8jlvHgn/ZhJ0KizIl8RcJuvPHIQ3XqxqhSRBCjL/FhOmXzBFt5UE+/AT1oI1AwYCvtATjgYR3XCsqhBRoCP/Awj34xpx4QAWCDg61ZrgBeJq0A5xrnnIOtaVV8eSsqsB3B1sQ3IAJX8uIL4AIgQq+EvxOjyQMIMPE5kr4NiwUATyCGGDkLn+PgrmLwQ/DV8GNu3m7YlWmBrZdr9q4ib12+ha8j33+Fl3d6tStuyxtspa+0FR/s6nTDLgrEPSew9bx8VjqNf/rg0bKdPFS2E+rjqF4gGsTE9wM+3wFbeUkIsA8/ALCVz3am1fyo2O8I/nBtx5fC32Hiewf7WQ1sBQzEBr4IZWkPkeTJi74JfgfAJjbZB0Ap/gjwK/2grRE2BDzEr8KPYVs/wFbaQRvQjbbiS7EvEvuOvhQ60A6uJ7E8baaf5G8EbOU8RAtsAXsCqfLdDy3wJ4nwjz8XId84XrSDOvi3TJRHW4BSXrJCP3xY8rOArbQDf5WyALC8jIVvS9vwFfFrI9iKbvjxbEc7tMC3JB9YrBNsxQa6cmwAGRNllrrsk4hU2Kbt+O0cL7QBf5z+UY9tlOM7AvYZF47TuH98W75LMD4k2ks5INjot1OW/cdxQxuOR+BewF7aQB7j6Sm7Aowt53D8LsQxEF8wZO7JFdgKCsTPt+0KtupSGnwefDtgVe5HFXUpw6fDv+F+UoBTU4MR71nxMjZTcp+KX6chuqvu5ake9Zn0MSIsYP0JX1OXirCfGfmLN+7w8rdAV/loXHLZ196pgu4Z6uVx3TcEGIhwatI3B1vXr77XdAVcga2sQPg+rgsd96zxU/mcwh/3iK35jBrfg/DtmfBRPbkCrsDqCnBdInXOY82YH9fTZVfKi3XiPJZLryfLOJ3dz9V0We7pBd80NLUZoVX1GjrnmfSbi6Zbgja9WLCLM1V79bzuncwsyB/lHmjSv6QNEWwlZqnuUWkTPmuprl+raSzaZHHRdpRrtnukYbtEt+4cK9vk+IhNjo1YRTdkS3JYuc7ElF6Oeczb2p7e0OflVNNW3BOtj+Vi+2N7WWeZiXuCzHnWyT0W7p1wXY11uu2g17Zu5XvlKYpu88jsVWrItyGRg63ZDgIOzmEEW1GHm3hEG/id3/kdI3rrsCUHW/MZcc4hB1vz0dKtbK4CfHZyXWTi5rG7Gxsbj2EBW7lpzZtu/JSYXn7re8IL1i9QhJ+mJfoY6+mvNN0aEJ18ANMpAab8dG248S64lRvv4UFBKKTafAli0h9+0g24lWgUN3XznkhnAMB8SUqnlcBW7KJL/Bm5fdov0cVOCcQY9IitPKjmph0PuOPEzTsgDB4yAzbkceOJ/WQBWxkP2nNe0akARHhQz7WMB+NEiWLOA3AeupN4oB5hDCKk8fOnfKnjwTgRtogqBYjAZ3zeYCtgAW3joT/t/OEPfxiADPRCQ8BggAwe6McH9LQBUIJIZ/QRQIT+AD442BqG1P+sQQE+4x1sXYNgXnTTFNiOYCt+wYgggB1jyYtDRI4nIlevhE8CuHBLEAGwJxMgah0nKJXwO0ryaw4JZg0v0igKFuDnrkle5OEGsaJn6mUmotETrfVdTecVeev6jPybJkyRMhcW2QN+D/vCP+rYZSiTF9iKffY1u5DAtpduNEJ02bNX63ZBUCsQ7pgCe+7Vi0IfuKcS4NZ7DpRCZPzOdg/COt8V8HHwW4ARiTQKAAlYCNzKlEfCh8Bv6BWxlRvctAdwMEblBDjEF+KFG9qEbwLshm/E90R8NNoMUIofhV+DXwKYyQtO+DTYjfv//9m7sya7jis/9BuoQmEuFGaAZEsFTXTQEklJFDvU08dx9BDR4Sc/9Wv7xf4AjnBH2GrLDkfcvu52RFuKa0nU0BpIiWST4twkRYIEBxAzARBDTXf9cp9VteugzqlThQOgcGonsGtPOa7Mk/nfK/+5cpgWWxOjwX7Sh0Wdyc87lkzlG6kSvpNn5EgEPiRY1lWVj+MHAfUb3/hGyS//a3FkkZhSXYobcZUM7GJADmTXdEif8CcCsbzLA0InMiyiJvJnYkB55r+fxVa4UpqJFRFsEZJhzhNBKIXLXZvESGxLHtImD3XO5YKptNgKi8IL8qCOc5cGclYm7ULc7uFYspAPbUF9CyNv8DW8CpOTh7aDAEBW2qUDRhenuuNP28m6yO/qrGf58U6c5Jx5SCJsU9btdW8JqJuW2NpbPu2bjSGBUSa2Ju6B8VjPd/aMjo3uamfsNAQ3um8iRdgMHqOHshjI9qzwUwx1xW8hl5ZwQWxdoRozXdhOPMIZGwJCdq6XB+KH7u1GbHZIJ1Z2NLoZhNvIFyItHZv8Irku6tY6eWwtti6XZXvXSqCVwOhIAO51tMTWO1OnZVxqia13RrhtrCMrAX0S131uPiseOn/SX/NZt9/0k+f027yvrztAsgt9Nv2VsLIIf3ZuFoLUOm9VV2DRQmyNMtwMYPvhlS3Vm+duVr/+Xcz3XbJotzkP3ClniQOxlbXWWp84Pn+zmli4WU1tvVkd3DZTHd0xVx3aNVYd3B2LY/furvZN7gm91vZqYnutG9HXpHOd95nvPKefu3VuZKtnkiXnxB4+Mt++8bMc8u5oia09RbhxXqioltg6WH1o4JuZ2EqZ+xd/8RfVf//v/70obAeT2mj4aomtw6lHv6GW2DocWbax3FsJGDsBH0dLbL39usgJuFG22ApgU5qzDrYjlNix4K24AqpvX4QrxoDIgXB63RGK/0EsjMkPpbst2fbt3lIdnoxVejvld+uiNYnmx0L8FApZ9maZYJivzgaR4vyV2morZX75kGrkbiVi67UgjhRia/AobQNH2T8VxJJRIbbCTznJjkhgYtqksgl5k9wm5fODqiGqNV+uhdhqYt6Et0VLyFBIAQiq09PTheRgcj7zpJ+jfDSZK/8m1E3EmxBXBmFMqiMVDJvYirzgg1LfgNSABIFIgnwr3UceeWTRqlYzv0gpiK3yKtzu3bsLAaAltq65WW36AC2xddM3gftGAKNGbN0SgMTEP6vxhye3Vkdjy1akUAtgejnq2hiyKrgCFrH96+mLYUExMEpa28+wYpEGi/SsZ1lE8/nD44vpsAwrDAyFJPrJpdhONuJifYu1L+l0O4SJq5F2TWJIQu1yX8MitiqTcrIoq4w1oTXyGaTWi0HGRei1i8DRqbHqsema2Pr5I/cvsTWJlixgwi/IgMZ24/qJEyeq6enp5YJe510SS+EHFvaly1mIJB1kVPgHDoIvECgtokEezHwgD8IvcBFs4rvRWCJMk5yIjIiciJSL4Ipkyt+wLbYiaYrXAiFkS/mWZ2RWeFT6SJryk5YoyEHZ+UO6ZDHf91oSW7/5zW8uI1OuRdwwpfqDQeFRaZADGcPFZNF0iKQstcKg8CC8yg95w4PaQS4QW43YiihKFkjG6lf9KZ/nSKJJ8kVKzgVe/MOi/MuzfCCwSlv7S2KrfJARzC9O7dQhTjLWLoRBMk1ia34Dw6xkgXwMg2dbUk7tRn6lTRb8iIcf+Fub1NZSBvLr0IbF6Wx8UEbxyYu2Jr+tG1wCvodaYuvg8mp93hsJ+O3rV/QT+nz9vP4CoT7J7/cmZ7eXKp3TbOAuC4uuXHcEtgt8hkAKr9EfTYb+iJ6t2/IqbCj8TMfK683AasIV/VPo5/hHOLUAvdsJl3jLGf6THlIqvZXFV8i0zZARdSHQyl/Ja+Ax2HAsdGzCWTReyK0RPsmx0pVWS2ztroH2vpVAK4FRkYDvIUdLbL0zNeqb0/dA85vgzqTUxtpKYDQkoD9Kl9d59rx5vdJ9hu1+1x2u+33eS31hoYkgvandUhz1+7DgWQPFmIEtxNaxWFwck7dbtoSeM75RP5uZr16InUZf/PBG9duT50N/eS2wLluut7p8Rp0Js26bn6l2BLH10PiN6ui2m9UDO0LPEXrEg7u2xVzhVBz0BjurnTGRnboi/U3OwTWvl/J9a7r5ZBA/6Xct58hS7UIm/VzkvOD2zL9vfC7v5a8ltvaT4AZ5p6JaYutglaFxb1Ziq3ZCQfJv/+2/rf7mb/6mKEoGk9po+GqJrcOpR7+hltg6HFm2sdxbCegTAR+HvtF969YvgZzUG2ViK8U5Rfte244FMYMyG+ZO3L1+6fUOGd81xdIYcgPlP+utqzVVHwLyWogeMTmASLInLKVt62zN1is1li9mQ9GPRHI2rLbacq1MNkSCzTR7EVsp+rd1iK3kI/0HDoyGxVaTySa5czKc1SuT8g8//HCZXDbRnB9QveQ7yPO1EFsRFEyiI1hI26T79PR0OZv4Yrkqnf4tf6Mmx03oI0UgPQhjUl9ZTJYNm9iaJAHpIgk4KEJNyksXCYIfyrumQ5hAJsgwSCiIHcIkaaFZxmbY9rqVQFMCxvjWYmtTIu31RpXAKBFbtwQOgQv2Bqn1yL6x6sEDtVXVPQMRW2vCJ2LrB+fnq3fPxHbfQfRkfZXitolJ1CVsZtER0ufnD4XV1kPj1cGwcrprR7wMRTN8w/ory60XOgt3EBu64xFXTYJdKP4uhX8EDESMprsdYqs0LVJCuL10tSbvfnh+tpTzowtBiPx0obp4db4Qa+WR9fsHQnaPn5ioHn4wiLv3MbFV+2a1ErEVDnGNAIgICYs4huEGIbbCHAhuMIYFN8iUsNJjjz1WcAaiIZJot4PTEI3gE+UwvsAnSZpFLuWGTWxFRpU2AinslxZjE/shSCKWKlfiUXkji1yY9fTTTxeCJcz15JNPFqutTSuh3WXtdw9TwnIwKFkg28JkSLZf/epXC6aUj/zeVt8s9vtOJHdYTr0jdbLIT4aZ70GJreJ6/vnnS1siDzjWLgTyQBZJPlUO+SAPxNYktyoDy6ry0SS2aqfkDGcrn/q2u4CFWNqFusgJIXGLV1y+EchCvsgCCRbWVTfKLB7kXmeYRHsnK4S1tMgrvnTyzK9vDm1UGf1eEFuVNcOl//a8ugRaYuvqMmp93HsJZJ8ySsRWmlb4p1hqDbLohcA5ta4pdLGBieBFuqNDsSAbnrMAij4rhpHiAsYVfzCa4wZsFjhKOKRWOBDh1JFhBBSO7gqeOxcLnC6HPs2CIgTY3aHLOxSLruBUaUrPIa/Rrdc7Bwh3uc6vOOzYtDMWjx+JcGVXpFhELn354JRxNWLrF4+NVU98caL6QuwycDx0ZRm2jqH920qglUArgY0rAdjU0RJb70wd+RbyLefIxW53JqU21lYC978E9EVNl/d59q55vdJ9hl+PP2HkYCVia3d8Zo4LsbVDwFwIwDk3HtaS4gzqXg+wevH6bPXTd2aqX78Xu8x8fDGw6/XgLNRpZD7zXEoe5E9nuxFsX5irdm2ZqY6M3aiOTdyoHth+szoc+HZ/WGw9cGB/NRW6kb27txdia/Yv2cfod/JYjL9Ltvm8eb61jM2367uuMXyUqoP/e8XidS252kfmRTlKvUT+EVs5+i66ptQN8dPL9XvXK0yv51HfA0ixV+hN8pyIWmLrYJWtcW5mYisl7Z//+Z8Xi62UJZvJtcTW4dS231BLbB2OLNtY7q0EjJ0tsXV4dZCkuVElthbQHH8owPfvGYuPg61hkRT4XxVv35aQKcbPBQkDEeNSTACwTtH5DuoZrzyx2DoVkwOIHcf2jxVrFCxT9HM+hkwsFGLrp3OFcMFaLGsYTTS+ErHVBANFP4sX8a1UIa7Ydpiy/sTR8WJF7USQMe5Hp6+AnxADTNyznGSS2WS8ieUTJ04UC0rD+AAalNgqT88++2z18ssvF+unSAom8xEcTOj7YPOx2nRwnw87lqJM1CNkmDBDylUOW9L62Bs2sRXJlvxY1EImQBaQ/6997WuFTIAgLN38qM48s25lEh/pRDhOXC2xNSXUngeVgLbfElsHlVbr715KQF/Jqp82a0xB+EKiQpLq7tPvVj7hAhbdYYOTZ2er3308W538ZK66Vqxe9c4FyGGyHw5hRfVzhxFOtxayAqzQzy0E7mAx/tK1+erU2bnqzUjzTKR/4UqNSeCgosztRALfsNR1dH9Yiu/gjgfi+kCQQsfLULilkCCSUIEwCss0sU3mh2Uu5fvgfFjHDAuvtaXY5X7XS2yVHpIFgq4FS4isH5ybq07F4fp8lK9YMAvZUtXwfyjk9+DB0SO2IgAiMN4rYivMAdchGr744ovlmxCWoitEUoU3VvrNGUv8TuVfOIRF2AoxEj6BwcQ9bGKrvMFF8Cdiq8U/MCNSJhwKk1r808SisJb8kjMM9pOf/KSE0598+9vfrn7/938/tqTbWTBjtv9Bz/qoJsmXLMhBHr71rW8VgjD5+dZO0ifcmvKCWcnLjgfK1pT1IMRW5bJA6xe/+EU5I0nDsU888UTZwUC7Ug9NecgzOSCgOliz1ccinyaxVb2Ts8VYSLO+a93LL3IreTVJuCmvzI/6EQYOh2/FrY70654jqLo2wQJ7s5orTXWykkMcgNV/85vfVO8GOZhL8jD8jpjbusEl0BJbB5dV6/PeSUBfpd8cKWJrA//AOXYIunA1dBOh60rLq1O7x4qFehiLzg22S/UVzAa7wU6XAxuyqm+BEP2TnQEs4nYIJwx9GAxlUTi/H4cl/PdjkVS9uCkIqoFPWcS3EOrwvhovwqzig9NKWrHI+3SEqzHafFjOioUs4Uc6Dx0ci6PenWh33E/E4m6upBllevn92ervfnmtOnlmthBpI8qCR4/GQi/E1m8GsdWZnq4lthbRtX9aCbQSuA8k4NvC0RJb70xl+W7xTeTo1o/fmRTbWFsJ3J8S0A91u3yW/VT3e/fpp/mu+1n3fS+/dTo19itxNz3ech3zx5FnR/kXv/XZ8W2xBj+ex5PLN0L3eGW2+t5rV6tnTsbOOJc/C33ozIr5zbQWOlZNFxbmq51b5qs9W+eqI2Gx9VhYbD22LRbwBrF1avdEkFqD2Bo7PO7ZNRHE1m1lRxv9S7OP6dab9JNBs2iD+muG6XfNem1x/dXFIbNw4TV1PZkP93W9tMTWWpAb/K/Kaomtg1WSxr2Zia0UuX/5l39Zff/73x9MYCPkqyW2Dqcy/YZaYutwZNnGcm8lYOxsia3Dq4NRJ7aSFCX5rlCWHwhi61QSW+N5AunhSXMpJpbCzoX1VFYtWPByT9nez0U3HR8oS8TW46EwZ4VidWJrKPIj8k9iosFkg/SQL1YjtqZlV+SRsqVbyMikAou20h4FYqvJ77R4ZWIZMdTE8le+8pUyYW1ifhjtYFBiq77rl7/8ZfXb3/62WDwzMf/4448X61Amurs/SrWX7POQRZEBkBBcmxQ3oQ8fm1gfNrEVCYDiExEDgQTZAykA+cCEP4tTtortlh/iSBJDhJN/+UM4YQXLtowrWVPr99to321OCZggRjrxG0Z+ca1dZttrKnQ2p4TaUm8UCYwSsRUmYAXreBBMv3hsvHooCKcWuyCgWncRXfrS0awAz+OeJS6Laz6+EBZbPwkSW1hu/TjInxb8eCd8uoJ74o8FR6xvTR8ZD7JCpBdpwz8TYZkrghQ8Iyyybuh/SzoZR55Zdf2XD+eCjFCTWxEiEBya6a2V2CqsNJEw4Cq4DlEYqRWBFlboIqcAAEAASURBVGmXdVrb3Eqr5K9TPsRW5IlRsNgKSyEtWliDGIrkiNSI+Dc9PV0ImlkPt3NezWIrq6owx5kzZ0peEBjhElY+/+AP/qAQLlfCJfIEfxlDYEHhxIH4iPQIn7CmKWziF9iHf/jFgh7lTGui3WVknfOZZ54pshEeNmNBFt5BfkRmhd8s9oGr5CUtxfKDzNl0cJPxj196wKeeeqrkS/7+8A//sJQ1iZrNcINcixuRFfHKgi/WWNUnh9iKZAqj8SffiKT//M//vCgL1k9hQBhUHpoYcBBiq7Sli6xrwZQ6R9R1WAwg7Wac8kVe6s2CKfkhFzLrJrbCCdqnulC/vnGRhy0ey8lm8TWduBFW4Qxn9e07QdsWv2dpBVb8cDsZkJX6aBJ7m/Eqp/bF2q56953gm+PRRx8txNm0ENwM0173loB60k61Mf0R/Kf9+X05t66VwEaQwMgSWwMHwTlXgpj6SZBEkUxhHrqtGJLLwnG6I9iRHmkssFsSWy1Mgp/opy52dhVKYiucJ8y+WNTN6iuiqEO8Fl+ztArTvfXRbAlvAZP39Hms4COpPtDRlyGuwmCwHwuv78fiqrdicRWsdvrifMGTFnDDmCyufuWBbdXUHgu7owDh4D0k3Fffn6n+/pnrBb8i4yqf3ZPsXvClwMRfP7Et0q5JtfLSulYCrQRaCdwPEoDrHTA0POs7AAang4a/4dlu/H0/lGuj5JHs8luj1VFulFpp87HRJKAP6nb5rPvc9Jfv+j1byU/6b77La1nJ7NyaqwxZY8QtsZMUEqt/8/Fbn4v+cj6ezMf92Ssz1amLN6vvv3Kpeva9q4XUOht6nH5OPDSaYtizdb6aHENsvVnIrYeD3Hpw93i1f++OQmrdN7Uv5rO3VTu2jy/qHpp9tevmfb90m+9SDs1nt3UdxNYirVpkPaNa5L9GvuUh86HfzHt6FNep72ottvYU5717oYJaYutg8vcD3YzEVm2EcuS//bf/Vv37f//vi2Lbs83kWmLrcGrbb6gltg5Hlm0s91YC+kCTGw7942brE4ct/c1CbN0ZSmtKcBYeJkOBvh7gvxbZU9hT4LPWimzB6gQlfT8X3fQisZW1srTYasu1fk68SKy1xdaa2EqpPwix1WQDsgqLGSYXEFt3xzZtx4JUMgrEVhPJlHYmw012mxinvGNtCqnA5LW2cLvtYVBiqz7rZz/7WSGnmpg1sY1EgFCRhI1edW2SntXW5557rhAkbH+KkPFHf/RHhQgwbGIrcgHFJytVtnVNIgvyCKJALwWociECIGMgtioz4gmZT09Pt8TWXhXcPr9FAtpOS2y9RSztgw0ogVEitlrowgrW52Py/ysPjBcrXEiaxQUcgS0CghcCAfzRrZpwPxsvEB8+DELru6drsimyayFCRNhuB4PAZggHLMROB2GBhX0EiXTwfj8YZSHRq+/PFcu0rMUiYdjytpm/tRBbhVM+eUamQJRg/evdIFl8GOePgyhxNayXsQyLDMF/5g+eGyViq2+FxAPwlDGeojnJfwiAw3D9iK3wg+3kOYt7YBN4CMHRc4RP+enntCGkSuHgKeVAUrTYSfyU5sMmtpIT0qSFVXYPUEYTnzCoNC3UQM5rOvk0/pE5ef/oRz8qW9vz8yd/8icF9wkDW63HZdy5WIpFUhjPwqWvf/3rhbwpDwidiKQwIEyIzEpWFinBoN3pD0JsVX54/Ic//OFimeBKut5eZfLNT37qjgwRRskVFk2Lre6VAfZkDVY9Kqc87w9LJ72ccsLwsKt+HGHbt4E2rT01ia3qA1b/6le/WmTVb+I645UXhHAkAiRmi9lgftetG1wCLbF1cFm1Pu+dBPQ5xsuRs9gauA05lcVWFvEt6KFDgpEQWPfTW02NFXJqN7FVOATV850F3zBTiKlYQaWf2xfYT3gHAimyKIwJd7G0itT62qnZ6tMg1YorkitEWMTWL8TuQg7YDo6cC/2bcB/Fwqq3g9QqHDwIr20LfZq8PRg7EDwc2PbxL0xURwPr0g1yMRSU8G98OFv947PXI3wQeANXbt0i7qrg0q8cH6+++rmw6h2EWro6C9Jb10qglUArgftBAnCpA5Ztia3DrzHzCS2xdfhybWMcHQnof7pdPsuz983rle6bz7r9epdupXfNZ7KTWbo1ZxlLzBV2/sVSrkJknQ/YuLBlaxVr9quZiODUxRvV22evVT985UL10qkrFUpr7/jqeOVja8SGHrtvfL6aGg9i69iN6lCQW/dvm4mdsyaqQ/v2hE5msprcN1lIrROxxUAuqs35S/HkdZ4z5/3OTTn087emdx3GanSFvV0IJl/Lr3xkXlpia2+xbcg3Kq4ltg5WNRr7ZiO2ah8UI//0T/9U/fVf/3U5UwRvNtcSW4dT435DLbF1OLJsY7m3EtA3tsTW4dXBZiC2AtasOCBuOnaG4jvB9PAkuTwmFiOQKj67UW+51rTitdzn0p18mhzYQ8Ef1suOxJZnrFggmaTViyXfS1eswSJvnAnSBWtitnlj5cKkQPODCvHi7OXYJiOU+x+EBTVWKExKxMK/MhmwSG4dIWKr9m2i29akyAGsJpnknp6eLmQGk/PGR0c/p99BsIPDYDMHAoQPSxP7nlMSInKawGblitUnFp1MvLPyRdElXBJb5S2JrbaiXY3YapIeEcOWsMgIiKUIGX/8x388NGIreZjIN2mPxIA8gDzy8ssvFytJJvyRR5RJ+j4+u2XXTWwlNzJC4mA1C7FY3K1rJbCaBPxeWmLralJq328ECYwKsRWhwFatCAMnyjEeFq22VnuDDADHWLRzrWCbOAfOmIUzAmg0sYab+XiIgMAyPDLoqbCYtWhBtQubqD8LeGCzw2G19YGwioXYeniyJg4Yno3Qy9JYodIRJ17/YLZ655OwphpEhiTSyl+6QYitpTwRBqH1+kxVFikhVygHS60fBn66eLXeVpeftELbSCbGxdEitrKagPwHDyA6IpbCOPCCw8KVbiyQMu8+69fhBH277zn4QFwwknSQQGE2eI0/LkmgTWIrsiXLq4itcAVy5GoEW1hO3Iittp5HWrRACFkTrlkvsZU8fvWrXxXCpvyLE4EReRHhEn5LYqsywo5kJk2YdC3EVpjP0YsE2i3vle7JXX2yNEvOCKNw5cMPP1zyDpOqDyRSJFQHjAojTk9PF3lLXzmabi3E1h/84AclfThS3bHY2qtM8jsIsTUtzP785z8vdStviMMweD+nLWqX6gbO1c4efPDBihzUHYIvHKyf9y6Jrf3avLZGxnZp8LvxLaKdtsTWfjXR+502QIatxdbeMmrf3HsJ6EdGkdgKF9EZ0S+dD7KnxduuLXRinRU59NDesbJAeudEbXkVDuJgPwu9kWEdwsGOdgegl2OtFakVURQWTGLr1SCo0lu9GcTWV98PYmvgSbo18UqP1VWLsBFbEVbpsWYDk12OcB8G5nzro7nq1VNhRetckHEvzlXjoUyzg9MDsXj74QfHq29+caLsULQ/rLami26mWHr9+es3qpOBJc+GXk04BFy41HEirLUejMVe0swyZvj23EqglUArgY0qAbjU0RJb70wN+SZoia13RrZtrKMhAf1P0+V995mffJb+u++7/az0PsP29otYuZqOMbBe0UQGVgwya8DEYrEV/sPQuh660X85c616+aOr1TNvXqze/PhqkF7Zdu3vpDseFNhtcRwYn60OxnE4CK0Hts1WUxPz1cHJHdWhqb2xkHhPNbl3dzWxfVvoqWpia3NhrXL300f0ysVq8uoVrufzDpTekuZYe3mMcvPazHPmxTPXDjoZjh6NrrC12FrEsbH+qKiW2DpYnWjco0ZsVf/5o+2WAsUdBer3v//96rvf/W5RvlOkCrPZXEtsHU6Na2stsXU4smxjubcS0A/qIx2Uxxu9X9Rrl67bRYI9l53reyvNUFIHuc74wloP8GiCmmWblQhrdzuvvzs9W6wtvHt6PrYQm6uuhDIbqYI8azBcBSkTWTW2JAtleLHGGsrxbhIoWVOSs9RgDtaZu5NVQDGOcMpS60wo/eW5tINVhMjyw65QzCO02paXsh/JxPPucpU4Iz4TBAgklP8spLm+2bGiodmlW4nYKo+IsyxRbI90d8b1KFls1aZNgiKEmqA3uYyQacLa5DIShPHR0cvpY5KIgehpolq8JuBNgIvPpPh6ia2sY63VYitCBjLHsIitLFwhZiAtIFt0E1sRSKzsbxJbpU951y07RBTEDkRiRF+yaYmtvVpX+7yfBPzutB/tSftzTbmBqIJQ01Tq9IunfTcaElgcQ6O77t1j35uyblhia4zxFrOcPDtbLJmaqL8W+OAmEwNdjkzhAOQC1qxOBGmAVSqYhBUtuAK+gDNYsULuhMkC4tziPIqfb8FBFt2wKI8UgQia2KUZCL5BcoB9kFtZbj02tbUs8NkaL/sM0YvRXA7Sw1sfzxRSwkdhKRaZAgZbbDfhcxBiKwIvvGTL3UsRJ6uzxVLrJ7NlO1sLiG6ErrUm9dblWcxE50J+R8liq28uC3hgKERIGEQffOLEiUI6RQwd9LsBhkIW9JvRx09OThYLoXCCdJIE2k1slRZyJQevJLEVBkMgTWvy3ZikUyXlBM8hcSLEDpPY6hsKmRIBFLkSNmsSW5OsC4fCj7BTknXXYrFV2ZBaWervRQJtlrfXNTmoT3lFaJUvi7JYKp2eni5WUNXHiy++WIjACLCeI77Cz8i4OcHQTGOtxFY7EWg39LyDWGy16wJi9UoWWy2YQnxUFlZSWUwkL/lFKB3UkevU1FQpo3LKo7aivWmz2iCM/M1vfrMvBiFjeBjhmWzlrbXYOmgt3OpP39ASW2+Vy2Z8UiCHPzHOxv8N5Yxpo0ZsJWA4yiIemM/CaFZRr90MXWzgpVwQZWckOiW6ueh6F3EbPZVF10lsLYuiIh4k1t0NYqvwntF50aMl3mR59dWwvIpMi+wavIKyC9OXjo0F0XS8WPkXj7TpteTPIqQkxH4QJNfTgYOToApb/qsgtn7ryxNlIRWSajrlhPFe/2CmLGI6G/hVnhBwHwpLrw/st+hqa8k3XKycrWsl0EqglcD9IAG41NESW+9MbfnmaImtd0a2bayjIQH9T7q87j57n8+6/eb9oH7SfzO+ZdfhYWFhNSAXWC/+sa+KsDofINR5axA4b0R5rgTufOGDq9VvTl6pXnvvUugMr5X3q32gEAVS646w+3p4fKaQWg8htm5fqPbF/O/+yZjz2D9Z7du7s9q7Z2c1PlEb1aF/09c4lCXL434tLsOtJcyqfge02Coeuc08+8bvLhN9GdcSW4sYNuYfjagltg5WNxr4qBFbmyVvdigUoKx5fec736l+/etfF2Wyidz8wTf9NuMY1euW2DqcmtV+WmLrcGTZxnJvJaAPBHwclMcbuU8EVm3HaoIcicDEfRIsnSlm1wY/hy/7zUBsJTWypyiH920pdjfcfNQ9xXz8j3Y6WIqyVqzLBpFkX1htpeSfCnKrZzEPvph37T7mBMqEgsmFTz+zXZpzkA/i40qb607Ts7TYyuIYixYsWxRCa6QnjVgIODLEVhKHnyjv0irVCy+8UEiWiASsqZqkp4DqR5DTzyAAICYgL5i4R8wwue3I7URXI7b6CNVvmXD/7W9/W+JBIk9iq3hWIoZkn6cMJteVQT6EZRXs29/+drF2Jo+s/IsbCfD48eOFAIGoYMvY/FgkF3E6EBqQRxBbxcmiKnL71772tfIR2SwTy2asqj355JPViRO1Fdr8sBZnOhP/iClJbFVmhAOEWfErZ2uxNaXVnvtJwG+vJbb2k9DmeGcsQ56s+616HDQebiS3oYmtQSp9L4ityAGF2BokgxWJrYE/Dgap9VhYszLpj1x6KKymlsVAoahEHEVqRfL8OMieCKs3Att2Yw31AvKUsSsukBquhUkDlr3qery15qAyGA0xAfkUKRTZ4MCesYJ9xgbAbSy0fnh+tuQLgQIRt2ChRnL9iK11O6uttH4W+OjjWFD1UWClk2diK9s4n4ntd+Et5YG/+F+p7JKT3VEitqpL/bHFKjADq6eesWhpbLcdfFqxb4j7lktxIFO+8cYbxaKm/l0csIHFMjDQasRWWAbZEMkWQRWeQEBEbIVfVlpwIyPyKz3EVhZbYSp4Tt4Rcy3sgWmkj6CqnJTqCJ6IjNPT08Xyp/tuZ/HUU089VSFewk3/+l//64Lt4B1ESSTLJJDqK+SF3GApfiwaarqUt7jgM3HLF/kgtbKcn4r+ZrhBr5vxw7aIl2n9Fq597LHHilzJCTakn4SXyQF+hilXwquDEFvJVB38+Mc/Lgv51Qk9L4ut2gCcmXrPLA8cSbbqBbGVXMjM4jT1h4hKHrAvebGSSubcN77xjYJp5dexmtN+1LF8OCu/9p4LvGBv9fvEE0/0XWCjXPKJ2Kq9kyFcTrbItuTcusEloA20xNbB5TWqPusdcOIbNgpoopl+x3jr2AjOGDeKxFayjZ9gscYPP9I1IZHCdLpVOqQdgd9Yb43/y+oDGfZG4KaLgSFZ1reb0UzEkYTRycB8FjXBZxYyqdMYIksayK3vB+aEX89frkmr8D8rq18MS63Hg2h6ZN+SniyJrXDqWx1Lr0iupwMHN4mtLLY+uQKxVTlhPFj30yDIItLS2U5E2eRzd1hptbuAvHveulYCrQRaCdwvEoD9HbApvAwn0x9b/GWRYK/vp/ulfPc6n75dyNAxyPfGvc5vm34rgbshAX1Ot8tnefZ+kOuMp5fffN8dXz6/NRzC6mofEL42In9BbEVqTWLr2NbQbwa+vRiLvH7xuyvVP711qfro7NXAqjeC2Mr/Ki48bQ9S684tM9WR8ZvlOLx9tjoQpNbJ3RNBbN1VHdy/N663V3t2TVRj2+IIPVWzf1Ee38fdepNVUl72uimTZS/WeFN/h0WpVxNnxFu88Nr5eMs8uHftoEfhUt+VC6ozTHnZ9affuy6vq95uiUysWoerxjLiHoioJbYOVska56gRW9W/clF+AD3Otrj6z//5PxdlrIkDIJO/9Ou82VxLbB1OjWtrLbF1OLJsY7m3EtAPAm8O/eZG7hdZc2Kh6kooRi/FbpoUvdtCGWvVv+2yXBeCazxPxfzdlu5mIbaSa3SDd9d1huy1jtxFgR4TBJTnk6HonwqCKyW6CYNiuSxKYSKhTBQE3kdmvRTEVoSLz27U5BFwoRsyIHg0ia2U9azJijuV9BNh0XZULLaqbH0EEipSJitOJuk984EEVyKGIkX4UOr1IQSLsQ6FuGBi3cS9iXlWVhEyTFDDcZSEsBuCAOKGSXHk2RMnlkig+iuLluA9ZAKT+IgCCBUIqEgVPlabTn592H0UlvxtxYrMoTzIEIgGrEaZfJfPJM2a/M2tecXbbYVZPsSbxFYkVCQP+UhiKzIGAgYSAYKHyX3OpDw/4pdut+KOrFhTQy4QjlzF1SS2kk3rWgmsJoFs+34rrcXW1aQ1mu+NYznemQg3mT4WgImVcYtUYKfET3d9jG+IfCMTWxFQ3z87V7GC/16QNJFMTf53O/gCmfVzcbCEdXRqrJANqGbhWZarTgeh9Z2wXIo0cPbTICusEE93vOqwHN0vuu5BNAQJ5Fb4h7X6vXGWr0EIBNoGi15XrteW62EeRIxmSfsRW7Od2TL3XJSNvH53eq5i7etMkCLE220BtqsIi7fa4igRWxXMd5dx3QEzwBy2eEcuhEUQDWGrXlhKeN8csAQSJaImx3IpLIYsCf/o7xEJ4QdkwPQDS9kGHuYQFlnQQh8OlrLIB86A6bpxFD/GE/EhRwoHp8mPtIWDlTJ9fmBG7+FDRMbp6elC6oR7mg6egqV++MMfFsKmNOA6hMokrcKNFiYpE3wmXjhKmWBIE8pNuYkT7hOOvH/yk5+UCWh5QeBVVuXszkszX6tdqw91KA24FTYlI3UI5zmTk7FXugikyoVECtM185tpiUv9ybPyqicETnWMvAw3KhcsC6+SG8wIx8LL4taOxN2MX76y7cGkZKy9NImt8iR9dacs8iEt8rIgqx/WJ+88lKWZPuytPcLeSADkos3Ic786kEdtTF78XsSvjZEhgisydusGl4D22hJbB5fXKPqMn1DRfcCCdCDxSy3YgLV3pEX4wdgLSzjfC6ev0r/rK3xXGwPSKrd+9H52BUvFn1ykFEUt+AoGJ3ukVlzPbtnHT7cs9EdSvRoHS6+zEbZg+cB79KI7Y1ili1J7wqtrmIyVWBZUP7pgl4DaYmuoSop+7MEDY0FwtbNRByNGuGXE1g9rS6/dxNajHYutvYityNPwpMVRrPMrGyIrHRkrram7ldvN5vTDxrI8GythMkdzzB5ELjnmisuR427Gtdb4Bkmz9TN8CWQ96vvyGpZeTz1m2xpG+xp+Se//GLN+WmLrnalLfZa2n+3/zqTSxnqnJAB3xP+CP1zDIsb5ct6MA/4QBK3P6Xb5LM/e196W/Oa7PDfj6H7WfV/HtxRXhu32V98PTmyd7xBb51ingnkt+g+ceCZ2JHjqjUvVj1+7UF2Jydhrseo/kNIy/WPmoXlm3HTHlrlqTxBbj45dr45su1Ed3j5fHdg1HlZaY/eYfbur/XHsDVLr7p3bgti6rdo6Vs8VJj5SBuNlYudm/INcd8tkkDD9/GzpWGwtP5w+Hhe9+XGFy3wol2sHHQ5H70Lf5RsqcUV5scKflMsKr9b8qCW2DiAyFdUSWwcQVHjROEeN2Krk2oBOCAHgu9/9bvUP//APhewAaHqXznX+wPPZZjm3xNbh1LT20xJbhyPLNpZ7K4HsN/WdqUC5tznqnTpl6KcBdD+6wNpArPEK3LY9lKIH9oYlzrDCuSu4XTtCx01JSil/LxSllO8IGSaakfVMtHaT4HqX8M6+QSpgoeHd0zFOhuWsK6EMN5FheMyPTNudkeNUKLb37QoiaMiVnO9nJ/uU6KxfUPIjeCB3IHngPCpfkqaRUy8H2cK2a5T5JgrIZwlBLEnCu0JsDYIGK2TCUt4jCO2MSQUTDMjWo0Rs1V8kMdVkODKFiWYfSqwtISto7ybEV/pQEt7vw+S8iW0T634nFFZ+K2mB1Bg7KLH1pZdeKiQCRFlE1owHUTY/3JZqLSZXgnhgghwRgJUr5Fr3/CMLKIMPPfl6+umnK/Gb0EcmYAELacKkmvI5OH0n/0lsFa8yIrYieIgTuQApWHom5Z3dS5MfhAL5JYumM/EsPmHIS96QNoRJebXE1qbE2uteEtBO/Va155bY2ktKo/3cxLbJcxPixjkWn+Al473xf5uJ5rh3bIkxLLri1XRpd0RgG5XYCjOdDVIAcuZ7n8RihiCkskZ1M2TadHAHuX7lgfHqC8fGqwfDauu+jrV4xAKLtE6dC4JshH83iK0FkwWGgEVWczDJoE79wTiGKpik4OII7PlqriZBdEgXka+VsFA/YiuMdD0IFwgU7wYB+JX3Zqt/CWJEveUunU1NtFgtH97L7ygSW5EVYRF4ylhvfE+rrTAHYmIvLKU/R/aBD2AxfTrshST4yCOPVJOTkyWs/r4fsRXmgOPkwSIhvz3PEEnhDGRbCnC4LF1iQYuCEB9Z3/T9I69IufBMkmb5gXcQW8XNjzyeOFFbV23iF/EqFyzFqqp8w2dNYivSLewE8yHjsjar7OKbnp4uR353ZX5948Jo5AVHIYEibZIXXIcEmkTNDLOeszTkTVmRWOFA9yzYil/a5KhuyRb+Ux7vVnKDEluRRS000xbIQ/0/+uijhQRGFuoz8WrK2MIx8pMnuBgxVJ7SYivZwOHap7JIg5y1i8cff7y0C7h2pfYJZ6jHenIo+p5IP/Mgf9q99F1z2ov8yit5NNua9/KsHfm2touCvJCZ34q2lL8Vfls3mATUTUtsHUxWo+rLGH8tsKAxGR40JsMtdCV0GfRpsCASIhwRXdddd/qRUSa2wlVzgQnpj+xKReGk/4suc5ncm6IPLwWPIcQKOzsfW7lGePUD46nDxHvNCksMR79FpwqfsRbLf7EQG/VedKgRh7ikMwxiqwVMrMrCytcD+9oxQJtilIDedjzaWdzek/bVlM/dvDamccZKhzbubJyEt+iDcsweNF/6dGM5HOKsHdGLwViwpfvusXXQuFt/d0cC2oVD/WkT6lIfqD2oR/W5EubqlTttKtuDeITVvsS1lnh6xb/Zn2d9tcTWO9MS6rFw6fvhzqTSxnqnJECnVWOUwBPLMEq9cAqubN3aJJDYoUYQEbaDJcSy+K7zbOlV7bu+b16XUP4U1x1n9z1PKz0rz5cSCz8qtrtyl98HGgmyahxBap2LhrAAn8ST8zEP+34shv/Rq+eqp147Wy0EOF4IbDMXb1FbgxxZ5yJOCwix8bz+710YvNoyW01uZbE1iK1xHA71yqE9E0Fq3Vvtm9wdurFdYWRgW7VrR4yl4zWxtTkWLkRDnYfFOy6yNbBL+Q8cYACPAxFbI7uZzcR48GBivhynYAEu8QRc2Cz7StnJ+FZ6t9ZnLbF1AImprJbYOoCgwovGeb8TW9V3/sjymrL1pz/9afUf/+N/LCQHymtgvnVLEmiJrUuyuJ0rba8ltt6OBNuwG0UC+k/Ax0Hh4X6jOsrQC1cWqreDmPnaqVCQBjaDO/fbYj5IGSxxTsYZQSN2GCgWC2rlbj2xD5je6Q8oSigTty2xdWO1oqx7WwCzEEGZbuKmnqiJz6ho9yyWaGMOW7yV+YVoX71+EUgbiK0sjyFuIArVxNbaUoZxYtSIrWoVrkI0MDHNKhUCgslpE+Imp5E5TU5TnDY/lvQtwppIRUhAWHDwh4Bhgh+5FIlCfzQIsVV+ED4RK0zOIxCYnBfPiRMnSrxprYpfefD7lId3g2jhcG0iQfrCIItSHFMqI4sgbFgwJY8m3k2ks5LFj3Di5JeVrCSo8A+TigvRFrEVGZU/fQN/ZIdwgvxBbogI/JBH4ltyQIxglUxehVMe8iXvltiqVls3qASM8X6DLbF1UImNnr/oUoqVTFY0jVuvfzBXxi3bkCJe2ho0dH7FYpOtQo1huZVpPV7eHZnopxGZtFn9IYKf/tFknH73XjiYACn1UpCBkVuRUY3/LFHBA02HSAp/njgSpNaDYQVr99Yygc8q7meBL67EIq13gxj77pkg8Z2NLWFjm1YEA2k0XSoqFzWWzZdxHcPPPXX9iK1IwJ8FYea9sG77ZhBaf3typrQ3MoSV1uJguFEjtsIOaYUOqRRugCNgIDgjsQbFM7yRTji/C98bMBRsgEjpOTwByyBSJvbJhUS9LLaKX7riynzAX01Mh2wIz6WDTYSB/3LhDezidwrzwIGuORiLHxgtF0KJe3p6upSRgp2Tf/H67Yv3l7/8ZcGZytkktsJiyk9eyg2LuobLyEz6Fh8lBhV3E7fCjBYsiVefgtSa1kLJ4nacfMF5sBrSKGwqb4iX4tansYwqj8qfC7B6pTsIsVWaxvQkqWoPFmCJ38HCYRIilC3zyL82IY+eJdk2ia3aD6wv//xqH2QNJ2tj6picm0SLrEPhHGSs3SDJqmeHNuCbQVtDUNU+5FGbkG/5ECbbmzYhf2SqHckvufAnD2SprWmjrRtcAuRK9mSprshb/WRdDR5T6/N+lQC8YVEu6/HvfBKLegPbGJv3Rpeci5uN8btiMbCF5ElwNRRsiUJv8ecOO799/UiOlaNksZWs42dYLK5eC1xowZNnSfrcHYuke1k0Bf2EnY9KFGbBPq3xH05HblVHK+k8Y5gt/uGwegF3EE1DNyZNeB8hFldA1Urjdomt0vs0SNNwrt0OLgTWlRYd3JF9Y9XByXohvV2UYObN4vS/DlgLloLTnOEWGNBYaNxOfdBqcjH25u/Eb8U4Ky7juLES7jBWDxrfaukN433iBXLg5M045LyR8jmMsg4aB1nAkOqPvlCbUK/6PfUI/yYpdZA4je/0kdqXcd6CIDpE8TUx8iBxtX5ulYA27GiJrbfKZhhP9AN0Po78JhhGvG0cd0cCaVX+cui80lr7zhjrWYW3m9C2wJVwCt1Y/C/H3cnZ/ZsKcidcVbu4WLx22XhX+qb0ByO6rj3Xl42AHW+LT4TNoEuJLYZuxlW8heelENBjury+9ewJUmusy6rmoxFAAbMBZt+7NFe9FLrRZ946Vz339rkq1j0VNwOVRsJj87M1uVWaW2Mebosj2lDEMF7NVnu3zlVT43PVofEb1aFtM9Xh+J45uHuiOjgVxNa9u0NXsCu+abZVO2P13tboV7YE5qDnrlGvJMhwsfSdNrl0X+fm1r/NMLe+Xf+TRWLrAFF0RFV8Zn4SS8EWdGGe+86HI+ieEnP1ij7D93q/luctsXUAaamgltg6gKDCi8Y5KsRWP1Dloej80z/902JRgNI4f7SDSWTz+GqJrcOpa22uJbYOR5ZtLPdWAsZO/aiD8jhB0L3N1cqpW+l/PoitrwSp9ddvz1WfXKwJBrbbQmg9vHdrdWxqS/XAga1xvaVYcmVxgjIeoZGiFx+iCfpWTmn9TymfWmLr+uV3p0OWuo8/zj6gm658svhIioeN75mml2XXTWLrxxfnY2KiJsOyeudjXfyjSGzVV1jxB2shqLK6ZHKc8hypAgHB9qA+mpL8mX0M4qkJeBPTJshtK2hinH8T5RlO/IMSW8VncpylMfFx4jFJLm4K3FSGyUdOqiNZmKinLDOJkKRVE+T8y4M4c0KfAtgEOiIC8kQSBfSZ8irtJJlQIgvfJLZSRjfTf/bZZysEBB+V/H39618v+UgyinLAsmTMQpVJfWQA5SFn5WuJraTUukElYIzXplpi66ASGz1/0QUWYuuZUBy+dmqu+sELM9WlmHRGbD0W24nCT8fDuuiRfbFtfRAaYCiWnIxlSWroHjvvhJQ2IrEVLkAgsPjF9q8U9VdDdqxsIYg0HbwJdx4MXLovSK0wQdzGGFBbybUVLAv675wOgl7UxZWIpxlFwpNFWeeDRiKJU/LceHXXLvsSW4PwyxLcyVBQv35qpnrx3dnqjQ9CqbqO3JHDqBFbicEENnIZsiU8AEMksQHeQNyDCTyje4A3HMLBHTAKPAXX5Fby09M1YRJG4Xc1YquJbt8uMAxCaZJFc5EQTAcjNUkR0keegP1gE2HhEvmFS2wNjyQH85hYFy/MhSQp3+nvxIkTiwRceYWbjE/ihHtgHmk1ia0wGlnAoOSWsoOxTPzDRkiuiI6ZZxP6cJmyJf4k/yS2skJKDr0IpvwO4pTXGEvmMC4CLQyZGFQc5MPiKeIKmSVOXil+siMPshOfeJURXk45SxP5AQ6WFrmRPayIpErWZKFs5Eae5EEWZEfWZJ+yS2KrMPxqW9kuLMgiM37VSRJz4ehsn3CGuhFO/qWr/eSRdUF369DmyZ4sWPvVfskkZSY++UgLs+L2LmUgD743/EZaN7gEtJuW2Dq4vEbRJ9yC2Pp+LD755euzsQhlvvo0yK0WjB8JPPhg4EHbzB8MnVrBgx0iwjg8GBPB8TO8487vPwl7xplRIbZGl1sWRFkYdTEWmjkufRbjRyySsgDbzkmHJ8cKARR+NO8e3XdxMFQJH3gUQVWY+DkXP7CndTDwZiGpdsIIKIxDmnDszTgsQOIPgRbZFNFE3UpLOrdLbNXGPoidCX795s1isf9kLOhSnn3Rxh55aFv1pePj1UOx+ItxgtSdyeuoO+068Q4Co/EYPoL34CKLbWCaHAdXk4f4YJwcV52N4TmuGieNkYPGt1p6w3ifWBZmkn/jPrywmUlsZOH7V/29+OKLBQPDURbIW7BG/5jtAuZazWlb8JuFRLCT74Tp6emC37Q1Mm/d+iWgDTt81/j9+S6CV32DwMqJjdefwuYOqY2T4WbuE+7nFnAuFrJYOPVh7GxIZwbHWEQPX9o90S6KdGXjcEucdWmO1t0qAXiMS22hfqfbLT6LV143vSy+6wTqvm/GtexdRNJMKd/luYTr8rMUlzrNCnVuHPEcqXXBd0QcdKmfXUdqna1+HDs8vXXqQvX+xxejbUTq4e9GFXqGALoTszfKmXXWubGJCD9e4hgLS63bF25UU9vmqoMT89WBOO93Douth3dviza3t5pEaqUv2L6jzOPhBdSk1qUcd18tLAS4LhJoSqHb1527Z6e2dnnun1bqYrJ+YD7XDpiTa4mt/WV4T9+qqJbYOlgVaOz3O7GVMk45AP1/9+/+XfX973+/fAwCkvkjHkwam8tXS2wdTn1rey2xdTiybGO5txLQX+pPHZRKG7n/TGLry+/PxyquIAMEsZUFVwr2iTCyw7KBFYCU7yxNTIXVsQNB1kDYoKT3jBWKVPQWJXGIP37OQ3MtsXVootzwEZlIKBZb44P9kw6x1SfHRHyYmyDQrkaR2Jp9BsWrSVHEBpPdJqt9PFHmIURQvJqsRq7wIQWfUfwlsdQ9R0lL4W6S30Q8JWv6NZEtbmHEw7LWiVD4N0kW0qVIfPXVV4vyll+T+vzIBxJEkkL8Pr1HDhAGGYAfRFjbmSLCyjOnP6RYRoKQD3lXJpNq/CexVV7FQ2GMgICIobxwAuIBcgqFNGUy2aXckA+QCuBYH5jKn/nNiQd+k5Qiv/y2xNZSPe2fdUhAm26JresQ3AgFCahXLIMitr76/lz1vedvhhWlhWJNdE9gJ/gpMdSBmFivMdTWGkfF/fbAWoiuxjfQCY5y4TRMp+/Tp2qz+lL9uEki/a4JjnvlTNJHlgoZADlgplhZXa70lTdyYYECUYDlW2SD6P4LSQCR9YPzc4XUilCCSIJk0HTC265VUYVdiUCCZOtAbJAv8d9tp60cDRL0F46NV19+YLyQT01acAgRiK0s077+QRBb3wlia1huXY/T3kaR2Kp9wzBpyf3dILfCGvppeCSxVBL3+Icv+IEHkB1NpsItcAmyHyJDYinxJIaA1aTF8QdL8Stu/sQDw8A7sAm8YuIbRoOn/P5SQS5tv09kSviHX/7gHRgwMZpvS7iLPwRK8SInwVLIkcIkAdXCJ797WEeehUlZfO1rXyuLf+CvXHwkXUQQMhOvdPQV/CSWQpKQZ37h1SSHuoY15eOJJ56ohkVsTXxMPrDmM888U8gJ6k0+9F9kJE2yz7LI90pOPKsRW6WZOFQdP/fcc2X3AvEhGEsH/pS2dMg4Zacu5JMstDek4CaxVf0lxka8QdSVlrLArGSdcSd2V4/ahvakXZExv9qFvGSbV3fahHiFEac2zJ82Ib/KJn31ZZGXMPp/ckOCFa98w/j3clxYqe42+jN1S67aGBmTf2uxdaPX2nDzBzcgtr4Xi09+/tpsLLaJReNhhR7BkE5tb+jNWPFHOmR1/kAQXFOnNhnj/K7tNdbRr+jC9GI9urJ1Z1x/oW83LowKsTW6tYLZ6DU/uxHEj1joxJKpBdJ0S3Af/H00LJrCWLu2syhVy5oga9wXdRdhYaxrsdAKDhSO5VN1tzOOXYE/s24yHFwmvY8Cg14MIq3wyKxw2wP7Y3eBSBfhhBVXdTkb/ovF1SCnvvXRbHw3zBai6uloJ4go0jgai+H+1YPj1be+NFEWx1nQxSmn8rwVi7j+7ws3ymIuuxzQ2yK0fOHoeCG2Cnss4piKNla+KUro0f6j/3Vo1/RGSIz0Tcay6enpMldrbMtxu580cpxMrGBchZ/gMGMk/RasZYzshTX6xX+n3sGy8gkvGIOSiAtrwqWbzSWWMy7DRRbAax8wF31i7u4ER8Fbg9Ql3ESXCddrH7ATDGpxFXnDyK1bvwTUmcO3SktsXb8ce4XUxvVbDhi1dfeXBGCNj2N3o7c+Cr1XYAgLeBBZzckeCJxQ6xlDxxhjv8UudGZwzKIF1yguHNK6mlpJDqlx1O90u8Vn8crrppfFd51A3ffNuJrvmtf85H2em8+acdTXNQbN685XQtzWlTofP+n5qOCFOG4EsL342Wz13KnPqv/vX2Kx7vnQB12+HlZYQ9EZLNabYZl1y0IQW+dudiy2bq1mt26L8Cy2Bo4NYuvuLTeqA+Oz1eFt80FqnasObF+oDuwaqw7tmagOTe2p9gaxdefOXdW2wFkOnABtrZ+ryxl5WCSY9vNdv2vKZnXft/q4NUfq+tb67g7ZxASZB/2ma3iTToaDr2DL1JE1w/WLs/vdWu9bi60DSExltcTWAQQVXjTc+5nY6kfp4+d//s//Wf2H//AfykegH6nnzR9l/pgHk8rm8NUSW4dTz9pZS2wdjizbWO6tBBLo6D8pjzdyv0nhy2IrYuuv32Tlqr5fSYKxw0BRmh4PC67H92/pWJ0ICxSTYREgPpp8VBULZAGokQZWwbQrJbHiM8p3k4YmqSnsKI9MMAOVzfFpxcB3+OHvTpu0mK3ePV1voXslFOEsNfjoAaDJgLVRExUsReQ2dJtFybxW8Sex1UpUinrEFLKk6M9Vp6NIbE056S+0cYp4k+kIAxSw2rnJUZPdSBGu/S5MXOcEKiWtyW7K2enp6WJRyj2/HL+UhIMQW/n3m2PR6t0gOFDow4j6NHmgIBevfPFH8UhpTEmGDNK0HMZvOuGVR7leeOGFclYOcSJk+CAUh7TE63Dt4Cidm8RWymSOzDK/yBisVSmruPhByBBWX0xe3omTTDL9JCCIH7FAXlrXSmA1CfjN+l4yuZGkE78N7Umba5XGq0nw/n8f3doisfUVxNbnbgbJksJuuUNsOBR4Ka24PnhgrHrwYG3FdVdw/2sMVW8dWoiXt2rhlke4xjt95EYktq6xGIveYQN4C45FZn078Nj7QSb5+EIQ/4I4gKiQLoaqYjELftgReFVdIAJ0Y7GboZ+0de1nESeygrpdXe2ZqQzn3BJbb1+O+mT9cZI0TfT7htAfIznARiag4RV9ODyAmOiACYz/SAsngqiKsAp3JSaAtVYjtvLPwRh+d6x+su6EbOGZMQLuMU7IE2zktwlHyYu0ECikb+IdjpFfDo6RZ2OOclmo9G7gNHEojzilr5ywTmIe+ZB3shGedVBW7ZPYCi95zz9rVHCoCXyYjaJe+r69kvDIn0O8iae8g/mGSWzNMssb2f385z8v5Fa4T57VJatb0pS/lH0R1gp/5DnJKknKhZvTYj/iajoyhSmff/750pbIQt2YwFAnrtUfGWg7zvIor+pCHfpmTWJr4mHy187ImIVg7TTjJmeYVTnIPdum9ixuMlZn4k3SKiwuTu1HmXw/IKxpU/IqLnlxnThYGxa39qD8yDpJ4paHFrtkKxj8rL2oA22MbMnQb53cnVs3+hKYD8DQJLa+8UG96IZ+Ix18h4SIrMiaPyuuLPuz5IrkyroonQe8Ura0D//DdNn/6HNGhdhK7vPxB6mUldZPYrETYiu5e8chfBwPoimL/0k0TQw4E9iPzul8hGH9v97md6HUhQX+U7trC6iFKFom7o3FNQa1NfA7gT9fOzVbCCfigDGPBIn2kYfCeuqhsUKoVa/qE7H1cuwocCqIsMgpi8TWIKsUYmsQaJFSH24QW+WdkyaMKsz/+/T1sN4f1igjfZ8L4n8gviu+GIuiHv/Ctmr6SJ2u9rZZnPHNWGzs+81vflN0Xto7PPftb3+7LExJ3VE/HbK+3AIVuBEh0tnvxSKRxIXG343mYJBXXnmlEC/ln27NghVjPAyw2Zy6NxbDO/SfFkaRkbqHF+GeJ598sugWk5CymozgY5jb4n/xigd2gqfhUfG0bv0S8Bt2+H6Be/3uYGq/PRga7u/3211/ypsjJNmRoaPF+fdfnRdrrRfCCufJGnO8+8lswQQwx+FJi3e2FovtD4bV9oJ3gvBK71V0jDEnSfe1mTBBvxruQMMRIbbSV9YWW6k/5+L78+pMzKd+eqN65p1Pq++9dLa6GBZ+b1jotcDKaOBjfWmcJ+Zng9jKjmnsrrhlWzUbZ8TWHVtmqqmtN6pDY0FsHZ+pDkwEqTX01Qf3xK4xkzuqg/v2VLv37Ky2x/fttm1Bao15j7EtFlP1V2Dr36Uvx4O42v8gPvv7WcpVppvnVcJ1ypP50G+6hhPpUDjf+XRCiSP6jVH93vXPya1vW2LrrTK55YnKaomtt4hlxQca5/1IbFXHfoyA/p/92Z8VsO8DgPNOuZrnFQu/yR+2xNbhNABtrSW2DkeWbSz3VgL6TEDHoT91v1EdQsC5yzWx9TdvJbFVbm/Ns48gH0MsCSBq7gnF62R8LO2L+VtWnw4HYcPBGhnLBhSsNK1LIHJ9UjD5RwnVElvXJ7/7KZQJCBZbzwWx1YrUG/HdpSXGPEAoX6xQHE2LrVlH2XeYFKXIozxFXDAJ7zegTzFW5geVcBRTPqQo+xAaTMo7U2AnAYE/E+KUhAgWabHV+5UstvIPG1IoUtqaKDf5hZThuX5NPjh5kgckPumacKfsp0SXp6aCV/koJ5XNRAGLB4gT4kwFWyrZlAnxQxh9gMliZ6RZRA8WW3NyQh7EQYkvnwi5+gsTG1wSDMUtPwgH8kbZLS+emfinmBZ/S2wtYmv/DCABvwVtryW2DiCsEfUS3c8qxFajWEwkBIaieE4MtXtHTWq1Je3BUEbDT4gO7k2ks7KQAKrubW9PgMYQfWL23/pP/aC+Vv97r90SVK7ltVp++GeZ60JYq2DBlAWr02Hp/Xxgh+C7xthRx2CoSkuv5Erpz6oFAmlagidf5IdPgxCBlPBRkGMvRbyIDuq3E9VqWRrK+5bYevtihAkQH2EeYzziYGIpuCa/y7Ldu3edWACx0CIXOMakNQyRfmEYuMgCGjgGjhAefjhxorbYmuTK5vgAP1kkJC/wjHcZpxLnvYlxZAQT7s5wld+oPHDScvg9KwtyJCwF+yivODO/5AD3+K0rG8IHfCkci2OPPfbYMmJryg2WyvySm3vlFrdDnPBjkjeNgWThrOzDJrYqt7jlATEB0VQ55APeREp95JFHCqlAnvo54YzXCKtJbCXnlYit5ExWZJtyFh4WTTnAwmShjpzdk7Ownk1PT99CbPVOfYtbXrQleSFnWF258uBPvSRuhU9N8Du0FZMp0sy6E6e6U2++IeRXW8n8ko04HcJr30g/vh2SUKv9JMbvJ8v23XIJqIOW2LpcJpvtDo5YjdgaP9dCYLRgHM6DSxBdLX62G9LhwCiH98VCqMApiK7IlMPEgn77+jBjo75Nn2Kc0ZcYJ+5HF11qLGYKMlSQPFnst4MCLGfxU/wsoz+riuVURA+WcZvEVviOPlS486GDEs49i63IILtK3YwV/Sbrq8in8Lx4YVB6VPjztfdnivU05Nrowku9fTEsqJ44OlZNHx4vdcwQwFzEeyWIrXCmBVlIqhZnWZTF0qu28FCQUhBbEVSPBUGWhV9OOe1s8PoHs9U/PHMjsO/s4nbEvi+E++Lx8erR6fHqc0GoPTwZY3bkZTM5451xzy4+cIl2Tp9kMc90jMd2NDK+9hvj4A1YzRgqDmOz342wFpUYM42XG83BgCzMW0gFWxjXH3300YKT/MY3k4OzYEaYCPYmE6RfGEvdw2tk8kd/9EelTmFXOKlfuyC/lth6Z1uRenNoy+rO71c9tsTW4chd+9bOm98Ew4m5jeVuSKAQW2NRTCG2Bg6AAViYhzlYl4cpYYg9izrGetHU4cARRwJbwpj0TGnB9W7keaOmAftx0ePUZwCry+mLiouTy7z1bPFd7eOW+87jcmr6bV57mfd5bj4rgZf9MR9a48H6w8B154jn83E5F0dA0+rCtdnqvXOfVc++c6n68evnqyuzgT+rGONmb0SiYcQwJvYt7tq2EBOwETY0YdXNsOc6GyTXiKXaFRZbDwWx9cjYzepwHEitB3aOhc56R7V/XyzwjWPnLsTWHTWpdaxDbA1ibD9XlzMyOKB2tSmXfvEO8k7JltK9tb5XiiPl7Rufgx/lyQErci2xtYhhY/5RUS2xdbC60djvF2KrH6S69XHmg+2v/uqvqv/1v/5XAY9K613rBpdAS2wdXFb9fPoNtcTWfhJq390vEtCH6mcd+tmN3KdS3J4NhewrLLZ2iK0XroDH9TjQazQACuMnGySNWil/JBTwtSXX+uPpQJBdfVTVW+yGv1gh6IMrLSOspS4p3ykpW2LrWqR2f/pFbD2H2BrEFBMFrK5pisYH7c0xyhZbs9ayD4HRtHvkT4QkSj5kDf0KhRSlrA8pk9OUsw4T9JSz3ZP7lIJ+RwgQ74alAcpC4ZEBECjEkcSJZj6EyUlyE+XCmbTPvk0Y6QlPgZ7EWhaf8kMw48szpbK4TOSb0BcncgjnY1G+Mj7xKzMFvXRNwJlQQG5Fymo6eTKZQYEtbmnIv7KLV1zCIP0irMiHePXVJvOQWilOkxTcjLu9biWwkgS0OUoN7Ug7dt1abF1JUqP7LLqPgYit3RKAh2zZZCvaQ0FsPRbW8FlpYtE1txAzUW2RkMluE+zCGAfX4/SFG5HYCmfGTliFjMri1nzRQ0QhewFQ/uPgj9UrZNaTodj/XZBbWehCKmg68qLAh0mngjjyuSAYsJB2JORsO1qT/kSKkCK8+JAUPg6LGIiuM4FLvLtbriW2Dk/S+uck8CCjwlKIPPAGXGDsT2wAsziM/0ksdd+Ni+ARJAfYDH4RP4fwgGQpfLd1RmH8/kyIywNslwRJeA9WQoKUHmwCh4jLfXdcKR1xOhInwj3GoSyXOOEaGBHGE5cxCvFO/qenpwuZEzkDLiKHxGywkfzCUA5pCCdufuBPGE1ZlVsZWB4lV/lFmnXAct3yy/yv9awuHRZmsUgqP/KsbDChfEh7NWIWHC0sjKgtkAVyp/CJX5t5y295uNmhHaUssv2QRS4UkD6sSlacOMmajNVF02Xc8qJtaFMm8clfWclVGcXZbJfqDFGHbL1vOhhEeHWWZdQutFNxcuLT3pIkq62JU32p29atTwLqU9vw2/ZbUDfapHrv9TteX0ptqI0qAVhhNWJrd96jSy3YDtHV+H88rG6y5Ho8MAqcgowwEe8mAg9u72DBcbglwjnW6vQDOS6OErEVJkTwsHuSBdLwnMVJFjoFfC7EVrKc3BnYL/BgvWVqjSfVWa17qnEki/3CFQuqQRRBhi1b/AbZeKJj9Qxe/TQw6MeBGd/8EEE1FtNEPHSr3N5I5/OHtxYLql8+vq0YA9gVC/8RW+0KYGeid2OXAVZ9a2LrXIlbG/jc4bHqS0FQfeT3xsuCN+RnLopYzUa6b388V/3fFxBbI7+hNzMMILQIx2IrUiwSLyLuenSvJbH79I+2Db8gMlroDKfBLRYrsZ5O76Vv7h47m8WFrVJfJh5jqn6c7omFeOMxTNXLpR7PmZN+ppc4q1/Yfu8y7sRi6ddz2MPiH0aLjPuwEUuiznBtpp3nDNt9Flem4yzvwuTR7T/v+V3JDZJed7jVwnT7776XF3iPHJCT4Tc4WbzwjzGarvQP/uAPFusUBsp66o4v71tia0rizpzVW9adb5aW2DpcOWv/cL5jtbY+3JTb2IYhgSS2/jYstlrggtgKdzQdtBCGM4veEAawIwA8wKK7xd0W0CPB0jE6gt9YsE4JV0ONZnQje51SGyVi60IAPlTLqzGpevrKzeqNj69UL5z8tPrN7y5Vn82NhSXX+N3PXA8wOVst0CFEfY8HiVWDmd8SxNaFrYExA6/E+z1bYkHB+M3qSCG33qj2B6n1wO7QR0ztLsTWvXsRW3dUEzti95poRFsjbv8CXfVtMzVOuDfEVoi/buJZ+32zWl7qM3Nc8kC/6T51OJ7Bh3AF/UriJc9XcreLbZpxthZbm9Loca2yWmJrD+F0PdY4Nzqxte5Agr0fH3sA4ne/+93qb/7mb4oFguaPsqto7e0qErhdYuu/+Tf/pnxwqYPN7PyGWmLrZm4Bo1P2BDrZr2bfuxFLmMTWl4PYmhZbL1zpA/S8KmgwlFsBDClSkQJ8HO2Y6FieCKXtweCb2XKXAvkoskYQX/lB0Iif+ppcKihbYuuaxHZfekZsZW2NtYzxjiLPAABAAElEQVRzcaTF1mwy2s5mILaqPP0GRXrzMFGeZAYfTg5KWIePqTxSYdVsBNkfUfI6TH778DIhn2SAlT60+PMblA9KYGf3OUEuLelSDjvEJT/y1ssJKx4TD/KS8UpffMJmXPIo78ouL/nchEI3YYLM+BGvOPOQVlNemd+MVzjp+CgV/yCK7V5la59vLgloy9qciZOW2Lq56j5L6/PNFvYsRL3y/lz1veduVh+cv/Wbzji2iAejryvjWvyx8MciIFuFmfQ2gc1KF6uiFNAwFEuurHl5D3Otx+kXNxqxFaSM7rdCIrgRMrx+07iP3Fo/71VO4cjdlrMfhaw/DBKq43pwyYTvdrAD5T3Z/l5YsfrcofEgHNRWsJABjD1lzA0r8cgNr52aqd4LwsHHsTXs9SAgILfeLdcSW4cnaXWa4zzcklijiaXgCJigiRESZ3jXjYvEB4clhkkslOQ1+AGOaTph+GtiEuEdiT8Sx2XasJT0u+PKeMXpyHIllnKf/UxinYzLWJVltyAJjuKnu5zi5Tfzq+8Qr7CwkjzJp0O5OYQ+ZfQOrkTkdN0tv8z/Ws/K5DDOIg6qA3ErW8peevLXzymXsMqWZSL7xH/k0XSZbuLVrDdhuZRFtiHpS4MMOTIiazJ2NF3WU2LWZtwZhzDyl/JW3mZazfhci1M9iCvbu2v5FSeZaeviEKf4HNKQ92HVV3e+NsO9Om+JrZuhpnuXcXBia0GANdCJSxgF+RLBACZxwIRw31QQExBcj4Yu7WicDwY+RJqkU1ulu1sxo/oH/YH5oJEhtippA0uyuA8fXr0e43V0xazz7wvCKCy9c2JrkW1zoZgFUciwFlcvWnqN+MbDk7poEluTCKKLF+7sp7FjwEdBbD01W9L8LIi1EL66Y631C2G11bEn0hdXdNHVzcCpl5BiA7eeDKz5wbn5QpD1LWA3rOnAp0iqDwVerXfB6rSXKKY2Bpu+8LuZQowVR9GNBb6Vzudj8RYiizzTvWpbm8kZ57Rvi4jeDTLjSy+9VHRNyKisl/7+7/9+GYt7YQVjqPAW0CDGOoyLFh09/PDDhRxr7DRm9nI5Buc4nmPuahgl8UaexS9th2fig19gMdgAtuCMPd4jtj799NMl7773EFoff/zxxR0AcozPsou324lH/h3SIQt4wZH57xVO2MyLePnLNPuFyXCZF2GkdTtOnMZji7O0Ae0BTraIx2IeVvvhSTtA5Y5N5Kmu+rmW2NpPOrf/Tr051FVLbL19eXbH4Hfot5W/5e737f3GlsCZwCkfdiy2NomtAQtqvWIn+6XvjWvd2c4YqnYE7oE/LPC2SAeWPDo1VhbT2xUAXhkLELpeHePGltrKuSMzbtSIrXNbFqoLN2LB1KXr1QvvX65e++hqLNi/Xl0OHev10GdOLMwEmTV0SNjPUfqgu1YLQUqd3xrGZAJgWnw1Uc1U+5LYOn6jOrz1Zhhd2Bb66bDWOrW32jdJh7Sz2rEzdqsJEsDWaDhbI76tQY4dJrHVWFDqqHMuN+v8s4R2lmp+kKgSu2Re3Oc4BZNxqUOCHxLz9Io74+v1fi3PW2LrANJSWS2xdQBBhReNc6MTW/3oKC9+9rOfVf/pP/2n8tHjY4XLH2m5af+sSQK3Q2z9+7//++pP//RPi/WHVICvKfER8uw31BJbb79Cl435MXovDeC3H3cbw2AS0J/6PTsohTZy/8piwNlPa4utv3k7VnZdCiAchMKeLWfxq0nLqkFh/HRLO3OmJGZVbDLmOW11gdxqe93DYY2MonZyZwC/+KiqP7Bici10Vqt9QFGomfTbiMRWqyRZW3gvLCZ8EpYXrsa+D8iZCZdJKa3a7ouPxslQaiMtsB7WulslYBu5i1frNujMYisFfhFoiIzYTPrsio9zH+SU99NHxgpB5dbY7v8n+o48sj+B5RwU2k3FlDG0eaxU+mZc+T4/voRdyWWYPEs7Fd78Zx7kp5l+r/gyDfFlPwmLOuTF0Sxb07/r1dLIfIrbdcYtTkem4czxk86zjD+ftedWAv0k4LfgN9ESW/tJabTfRVczOLE1B7OGSHS9el9neIg1KNZFTUoX/NSxrnAgyAz74lnoFKudQXAtxIeYtNaVwV6rOThqwxFbo/udQw4I7ISIAH9ejDMc5Xkvp9eGDT5DRuiEgRlsHdsrHOyAKGJb13q7VpYrxmplfgiQ/IVlget3H89U7wS2Qzi4HOSIYoEr0pPunXYw4pHI1xeCEPGlB8JaV0xAqHcOARiRgpWu1z+YqV58Z7Z6IyyFrccpr62OHzq4tXr8xESx8PX5wFOIEKPkEhPkObFU9t0wTJPUlxggzyvJohlXvl8NP2QYZ3kwbqQeTlqU4TnRuFpcmWYzziyPeMWfcSqba47/PHvWL52MO+WV2E+4xH2ZX3FKP514M+58Nqyz/DiyLJmOfGU5V0tL2GYc/DfjWSl8M12yQC7hVpJF5s37lHNeO3e7Zn6yHp2lKf4mJs5y9iur+PLIfMtv1pH4cvIlyy1P/eLsznN7f6sEyLoltt4ql830BC5Zk8VWXXIOuXF2abTXZW8NXEKHtDssy9OnHQpiK30aa1uICbCCxU4OejXWRdOSaz+Z6wfo1kaJ2Kq8hjfyp0tCLnXAbu4RNshpb2zPW3ZBiHsyTnclcB9S69lY2ASHzgSWFNcisTWIxBabORBb6S/j514swrLsTxf4ZpBbhYXRIvoKWeREEE3hTbsEwO3wPQfjWoQF77LAZpeiC3GdBFU6Ljs5iEOYboz/6bX56tTZWvcoz8L5JmCVDa7z/ZAE3CzjZjnrh43RvsuREJ999tkyBwoLPfbYY2XrecRUY+BKYx5chlTH6inyI8vn/LPqjtiKBNnEPjnW+k1ZRIJc6rCwxLjrvTFXHMgPDgRK955nHvwu+RfW95p8eIdQqkzey5c0XFtAxAqte3O8yuz9G2+8UfIsHjs5sTKL1JtW5S06sqgpMUDmX9qZ/1xso0zyIQ/k5yzv0nbdlKE8Co+MKLzrXHgkTdfK013eHDOlQx7y5hCGS/9rab/K1GwDL774YunvlMHuTF/84her5557rljlZfXfvV0GWO9Xrn6uJbb2k87tv8v22BJbb1+WK8Xg95TfLfB/6+4vCSwjtsZimnfP1BZbm1CyLlH0tbRWATlgHRhC3cOKcBB8AU/WmLLGNhZ/0z/CSnRBFgTV4e4vGQ2aWzLjRoLYqpLVePykaQXPXJup3j53vXr6nU+rtz+JefRLN6vLoWu9Fiu9dmyNxVBR6tAwFHwS+whEuDAkE/qGOYrQwBc7g9i6f4zF1iC1bpupDo3HfRBZp8JK6/6pyWpy7+7AMhY4h4GdOMYivPaV/8i1l9PHB4KOI2ugl89ab1X77+1nLW9IaSnd1dPnOzEIjMPpN+UpcZlnLbGVFDaoU1ktsXWwytHYNyqx1Q/ORJatu/72b/+2+ru/+7uidFOyYXYSg0lq9HzdDrH1e9/7XvXnf/7nZVuM7ChHT0KDlchvqCW2Diarfr4o74CaAm3qkbuA2X5h2nfDlUACnQQ7G7mfLVthJbH1LQpSitXBQN5KUst2h0AwEVpd2+dSylPKHmFpIggax8P6GAtkR0JJH/h4VWsCG5nYeurcXOX4IFZOsvRAie57oOD1EIZvjIlCpqi3JNsbH4t74mPS89bdKgHfC5T1thdmaYMFt/kGUdjHdXxzlckBintbqvyeCYM4Rt3pR5pH+XiMhpQfW3keRA7NPmmt4TIPzXS689J8t9p1xpcYqBlXM2+Z5+aztcTdjFe4jCfjbT5bLd72fSuBlIDJpZw8MZnj2uSNySQTNK3SOCU1umfj1iAWW5dJAAgoQMHTwFwFuuvPa9xgMh2OMjFt61lKZtYUkBuOxRa15YiJbwrpQSevNyKxtcguCASspLJAYTvWDwJT2T52ECup8fOrbkZ4JAFEBCJdFOsygddKfTI14Y/Q+qXjgR/CGtbxsFhhi1+kYtXAQquJAxZb/yVIo/KGuNAv7q6k1nfbwYUmFg4HVrZox5ayLIzZOpdria3rE22GyvE+cYczLNDspxMbZJh+54yPn7WGEzZxj/DykHHk2fNBXOajV5wZX/rLOPN53q90FqZ5CJMH/xlHM+58tlJ8w3g2rLTWGk/6d87rLGtTJvmuKZ9Byp3htIu8znjzPEg8TT8ZT3ec2eYz/80w7fX6JEDGSdJBaiLjJPY4t270JUANuyZia4pkGSaMfrXzPJrQ4oInOAUeRDyw4KVYcQ192vHAhIiQiK4W7yBViq6X890yisRW5Y2uueA4Fqfo42aLTi52ZQmBwHjIv2RKn9R0qxFbWciFxZrEVmlJ42YsOGJB9b3Ar3YdosOCNfcHKdXOAIcm7Q4Qi3bjmTxwwsK/cKvdiWBe8cgXf0iwdnMYT2JJHWzxL8wrDHKsI8P5HqBzLeVcpR0sRjZiF8Y8B8vujCI888wz1XvvvVcImqxz/uEf/mG1b9++QtBcaVwVztwpi63C6dMROU+cOFFIosikzXD6fb8pYRBM3w0rsayD+o3RCXDGAjqBw4cPV0ePHi2WVFmARYbwnEtSKeLk6dOnCxFTOIRUpFNjCjI6wh9i2vT0dCkLi6TIu8LzI/+upY3IKQ1nRFph5J8l17Sqn/mnw0AGln/lUG7pKlvmH+FU/r/0pS8VPQe5eEceiKnyhwwsT2fOnCl+WEeVprI39SLymERcaSLiIs2Ss/wJJ27HWp2yy4/6P3nyZPXqq6+We3lH9EVkZezplVdeKfKRv29961vFKi959XMtsbWfdG7/Xf5+W2Lr7ctypRj8Vlti60qSuT+eLRJb352NBc5BbA0jO1dj/rG/q63IA5bwoYU+FvjACnDGZBgjsljqWOjD4MnjMb+G+Er3xF/ilv5p3H9vU2qBGErm83u5WZLFZ+EFbnOkW3zXedB9n/6cm++a1813zefN62Y8vg78hmvn3DnimefzMVzORCY/vDxTvf7Jteqnb16qTp67FnrMG9XV0G9eD5y5c+tsFVCxmlsIeqvyLMxWC9EmkFsXjPfzs9VkWGs9gNi67UZ1cGIujoVqKqy0Tk3uqaYCP+3dszu+b2Pnl+2whR1fAluLKiLsnfc61/X7AMAduddPV/47SHwrh+z9tBC+y+tGZfb2XuTazAdM4h52gjXIvSW29hHgvX6lslpi62C1oDHfK2Krelrq3Jby67kPhDfffLP63//7f1ff+c53yuo9HyfetW44ErgdYqsPZtZzn3rqqfIB64PYB+RmrB9tuCW23n6btH3mqdjOiCswJ/44+xMiLq5zqp/Vjzp+6zfpz6u8zjDL7uNheR4PF9+XQJ3nXdfC1v4b71fw03lUPPFfx66fq99kHOWu3CzFtyx/wub7vGg+E0G4fLV4Lg9XixN4LMHjz1LeCkCL7nVhISalAuzMO+uju+Psdx+eF6PuBHRaBGH5vpyLh1vjrx/3fC55jiWDM0FsffX9+erZ390+sbWOtVYYU7L6XdNHuS7bqQUxY2pPVR0oH1BB1Iiz5yyQmcwPXFwrciNMyncjE1sRHlhKoMhm5cvWYpTcUemlEpXBx6APR5YU0sJali3l1Z5rCRAbsrV2iSQ8g9hayPr1e3Lz4TQRZOmcZEBwNdmwWVwTH6yE/e6GHJp5kN4w8tGMcxjxNeWQcQ873mYa7fXmlIBvKkqN1mLr5qx/pTY5vWZi6yriqvFTjZ1gCJbwTXQjLkwFbtofCuj9YcGVZXwT5qzB2+YUjnJYACKOptuIxNYkBZwJi/fvn5ut3jkd5NawPhGGBopMm/lf6Zo2I2B2YO1aLQ1D9HIFP4RMED/ID6nVdq/TYfmdzLbHc34QIljcOn1xvnonLKOywIXYCor0i79XugM/79QXaxryZyvZh2JygbXW3bEgimuJrQNLc1WPiQt4vFfYYNh5aMaXAhhW2brjHla8mc/77dyUx7Bl0YybXIYR/52I836rszud35bYeqclvPHjHxaxtVnSxC5jAergOjoQVlyLXg0OjINezc5AntkhqWBBRNfO4vJmfL5bRprYGliN9X6kUQRQuI0uEtmz3imq1k02ZbIeYqvw6huOZdn/fGDFy4Edr4X+CjkVAfnQ3rFSF3Bn4nrh5Ek4pNS0LEv3VfB+6AzVH50hoqq8d+ChoMXBgsgsGVY45dvN0lqE883gmbazGZ3xDsnz7NmzFWud77zzTrmenp6uvvGNb1THjh0rW9I3La+mnBAyESLNoSKY+r0gZSJzsu6JHGlMloZ3vq2QQJFZkR6RO83BpkVW8Zrf85tjDRQ5VDzyIC73iKeInsilSJ4ItdKmX0D25FLfYJzhHxnT/LP8vvTSS4vEVvoI5FZpIlsg8cqLeKTrOH78+CKxl5zkl2XaJKR6xiGikpG45MUhTuHFw/qpe+WSP3JAJH3//ffL4R1iLiIp//IiTmW4ePFi0Z0gnSoveSL7fvWrXy3xszKbpNmSmTX8IWvESHnJg8zUoTzLy9NPP129/PLLpV6k+8QTTxQyrfz2S7cltq6hItbhVTtwtMTWdQhvgCD6rpbYOoCgNqiXQmyNBeC/PVkTW08ORGxdKgxIABfU87M1LoE14BX6xCX9Yn1d77hZYxK6KJZc4ZtRcAHDwiWtFS6LJ/XD8jwedM71YzP69ax+/O34rUPXzwPSiaSD1zKiJRBWopNeXJS3nXP6KOmXKGo/osvv/0U/EXvhRmwJgBeuTo3+Mo54FJC3uh7j6zvnb1Qvf3S1EFtPXbgWCzsCgzACMB+//7DpOiYDW0LhWFwQWyOBBQ1jLnaFDKLrwSC1Hhq/WR0JYuuB7TF3H3V/YN+eav++vWWhDzwBV2yPD5IdwX4OyBl5CEwUZaKTLXnsxJ7lqm/JjqQ6su34cSKVlNri43hQnt7yYtHHmi8WORW3prZiXFkHcAvXvIeJ3MM65JGW8NPPShH2e7eS/37Poh2GtFvXVwJE1BJb+4po8aXGeS+JrZkR+VBvPox8IPzoRz+q/sf/+B/V888/X0B7Nvs8Z7j2vH4J3A6xNevKh/MPfvCDQnD1cedD1gdZ1lOes37Xn9uNG1LZWmLr7dfP//OLa9Uv3oitaxpRhWhjwDXJDfTEtXedc97nOf2U94t+QJMAIY2w6U9c5Xlo68p13i+GrdMrfjzLI/3FeVlewsOtfoDuDmwr4evI42/Dr3CxYr0886bxroSRTCPuOoqS55J+3NcKR74E7txnPN3nTj5L2IZsSljhox+uf7c1cFtWJu/DAZ/813mO67gpR3m5dM+X57E2qPiv08z3nTKJjx9xZPjOszreulx1/AF/+Ivj2o2qbH/12qn56vl35grJ9eJnw4BHJReRg6W4KFlZcKVURmClfEXKsNXusWLFFUExrGkVRXx8NBXBBLkh+sJr12ILhVAyUqxRjtkqqJ/SiQjuhqNQzoN1UYp06FLd17Ku5ZzEFGWnePaudbdKgOxYaauPmiS8ELMGWlERWfwhO5M7lP2s2GlHzq1rJdBKoJXA3ZZATjTVxNbLRXG0Y+eumDA70Nmiz0DWuvVK4H4YK01sm2RGznz1/bnq+8/fDCvutfJrveWuwwET9ZVvpDJxHRPecESxshCEhV2hjD4WlrqOsrDQseTqXE9sN8bNiAaOsoBSmxVfbktpQtIkx71whdgaE/ufhOxOnp2tfvfxbHUyyKTX4hmy8LAdpMBSRSEcBPY8cWS8eviB8Xpb3yCQJoa2+8WlwMIfXQgLfEFYQHQtBNqskGFnrBGfurXYi/UMC3d2dSYSeGmJrQ1BtZetBFoJtBLYQBJoEls/+yyIQaHoYal1Z2DC1mLrbVaU7//bjOJuBKfHuHo9LL6fna9+8dps9caHc8UaPYLlWl0H/pVgzbLDxWnVv7a6FYvCQydSMEPgmiYWRFSwIEoYcTjDgDdv3igEPJYZkevsMmFi1qTs/ezgcQuiiyXTwJDO5qLpFFm8ReBAyqBHIot06yW2Cp+6K4vbWV2NnV5LerD69m3LLbVmevJ0Azk1sCWsCWempVc60oN7xgpB2SJueW/mVRx0j+cuz1UXY5etyxEehNcGkFL2RX1bCEfviryyWR2LnYiWDMm89dZbxZKodv7www8Xq52/93u/t0jcbMoIKRMZkuVRJNUkhH75y18uvxPfTpz+3nyd73/zrsIgpfoN+S0hSyKt+t5CHPX9haxHly0fLJKeOHGikGYRPpPY+vbbbxcirjgRTMXn8K0m3iRQIGd+7WtfK3FLV7zid+13LW/ilY4z66oHDx4sBz26+Oir09Ls66+/Xoi54jFeyaP8S0/+kW6RaOUTSVTekVDFKX7llF/zmPKgHOKir6e7n56eLnlB/khrqkiib7zxRtHxyx9rqgimmT9xrsfJr7o3x6pelBFR9rHHHiuEYtcIz3Y0ReZVzscff7zSJvSHSehdKe2W2LqSVIb3TJt0JLH1/PkL0ZZvVkeDCJ5WhtfbLoaXy7XFtL5WHGmsO2Dv/JFdIbZuHYvfZiSwzt9Y7xTqN3cg66slefvv15DpNXi9/Xw1YqBrtFPkS+shtgKVK2QcToApzdPWO27WejLztHYDeGD/WNkp6mhYdIUp4QvRaDp5bmRxQ102cfTyjC29KVfxR79Dzedckx/jTPkXz+ajsIifC/Fd51k+F2d5HjP1c9ih4bm8c46D/yKleFfHX89r+ssAVjwMOUacQsZ184hHZVwtvAs34RakIc44pFCexdkjv2fWWq/EROobYa31hVNXqp+9daE6fel6WGKdreYjj/NbxoK7GkTWiGd8LCytim5hJt7VZdwyN1NtD4utR7chtd6sDiO2hh5yate26uDU3upAHHsn91Y7d+2uJrbHopZoNLDnWORGjqQvrrqPrsucZZJdMtm6EHpo5eaz0/8IQybxOP7Wri5deVHk0nm8eCr+BAi3ljFBHupAmVJ9e8vf9NbJY6m/hif3MA6XRF9YbTWOwlry2khuxcuW2LqiWJY/VFEtsXW5THrdaZz3itiaecoOw8fED3/4w+of//Efq//zf/5P+cBY6UeY4drz7UngdoitUs668XHsw4v1Vlum/PrXvy4f4T4e0492lisFbi/XGy+0srXE1tuvl//61GfVUy8FW7HhCigAJELGrvOel3JfHni/9K747Nx3XifuWAy/6F88GUdeZ1x90+i8zFPmrxm2E3GJvpBbI2eNtGTGbfNZ7Tcedp7n/bIylYfN8mYcHRmVSDvvxdOJq8TZuM70F88dvwWaFaDVAVudgM18LsbVeNfJ1mJ5Mt7yPP4svs8wjbO4e/qLl8vD1vlCILx6vQrLVAvVqSBiXIlrFgPuhKtXBtbkW0plH067ttcWDViYyGMqFqZPde6RXMe3RHueu1Z9cnrjEVtZFGURghyRWinUYWXAfFHe6iXkH8UNoFuX/07Id1TiJENkl3pyopZllq3INGTpI6yQhYMAggRi8qB1rQRaCbQSuNsSSGLrmbPnqtPnroTVyRgLFsIiy969oTAai76fQqt165UArMCCJTKiMXQjOmMV0gLLniyO/uqN2bKV/TDzqugF48UFHDEGU8SZEhpOYlGBZc+05ppWu4qlhY71rvmZazHRd76a38TEVnVCfnADssdDB8eqrxwfDyLIWHU4lPfFylXIGJS7HlgY0SC3ewXpPb/TTr1uD25JsaARkwfyakEU1xJb77T02/hbCbQSaCWwPgkksfX8xSvVx+duVJ9e31rNVCy4bC9EoPXF2oYiAeN2TU6M8THGxI3q4EHY4eOw+P7b2CoWwRURgV5jWE7p4cHUKSFpwg0W+bL0WfRpxZp/beE/rfrvDSwI9+wYj+nthZthMfFCIcCNCrEVRoPFkUsvX6sXJKkLC5UQP/fE5DycbOGXifiUo3pZL7G14ML4g2jKWqvzjZjnrr9damzOwtm2aLMFw0da2gi9oTxqGx8GSeV0nM99Ol8wvXwiJz8QFvuPh+V+C9jgwHTCn/10rnr11Gz1UYQ9fyUsxEb9I5s82CGgHNk3Vuq6lHMpaEaxKc4sabGmyhIpgiMiI0Ima6OPPvpo9ZWvfKWQO3Nhn/k2fThCJiIsYqnwCKrT09MVYivyJdInv8iZLKOKHzkTwRWhEjkyyaRInHTA5vO849dcrWcIsmkFVhri4yeJreYFkVMRS1l3TSuraRUMmdRz4RBw6SOQAVkhRc5FRBWvfLM4iyyKfCE+ZVBW+WJpln95Ux75QmoVN39kJh/yhgSK3Co9fhBRkwyKKCvOlAlicFqPlfeHHnqoOnHiRElfnpFf1Qurusgh4spDPrNe1tpY1Q1rsOJlMEjZ5AsR+Jvf/GYh4ioXK75kre7IDvlW/hzKotwruZbYupJUhvdM/TmuRFv+9NLl6p2PrkQ/OVvt3Xeg2r5jV4x7QQKL3w/X7NrKdfOB9437xmUdtuvB4m3nYvG++O6k1f0u7rv9edD9rJmPTnTL/DTfL4ZtxrP4cHnci487F/Up/tb/O0nFgBEuRqD4i0QXeCEGxCLHwA7u63DhJy9KiPpPeRtzsE1Xe+uEcxNHM+jiddfzjGPxvQedm8VnjTDNZw2vi4EKQS3DL2Z+Ka+LJWvEKR5u0bvr8qT+s+x580XHT3nUeb7sddw075dd503xkzcibNTN4mNziJ2b4r+TcOe0jNgaGOBk7HLEenud+lLZl4fqf6fMDrrFxJUwBz1UrV+sF83UFl1ry66TsejGO4tvcsfN/qnc/bcrScMcbXGdfib7m/ph3bcstYHwG/4cQpWQIScYjFVSMue3EE/jdjGu8JBEWGeEUhxWAbfEAY9u2RrfBTHuCLO1EGLrHLg3XqUrv8+Io7T1Qo6VoInPiDOeay1yUuotcOCVsApwPra9evGDK0FsvVo9H8eFKzcKmbRu9Fuqm2G1dW4hdJ4Rz9gWJN0lYutYEGB3hkXXB4LUenRipjq8fabav3M85ua3h8XW3WGxNRa77N1dbd+9pxqbCHJrEluVK/Jd76Cln6lLQHJRolLOLaW/ibKTXQikvJN5ruO/XHhWnvMXvvgVpss1n+WY0OVlxVvG0IpbTLPLWybVSTPjdpZmpusMuzhbHJPYrDlGpd9mHF2p3dZtS2wdQHwqoSW2DiCo8KKh3itiq3py+Nj46U9/Wv385z+v/st/+S8FzGfuvc8fk2fuWzccCdwusTVzUepEtUQH6yOaBVcWd60kfO6558qqQ52kAXAUnfbZEltvv2b/9sfXqh+/HNZ+M6q8iHbVa+zuIIf6ffG03Ofyu4y469zxtJLffFYWGHUF675Nv8tyu/SwU4YslNBegnR1KRpel0XBZ7riZ5nHZW86aeSz+nyL91seLPmvX4Fq4ZpZdd8It3jJz+INT3HbfV8/XvS37HXcNO97hu3Eseg3LgKDxrZCNZn1avBHkTSHqXzPbC+eJR5pymNg7wLsKXu3BzmD8pWVKiSNQ3vjCKsTR+LYu/1mtXPsenX+7CeBgWeqL3/pC7HqeiqU+EuKjcX47/KFoZQM9d+u4/+Krsg8/jjn9YoeN/vDjgwTovSTpzZk3EBy7W7zm12MbflbCbQSuDsSgMlnYhA9c+ZcdfLjq9U/nxyvLl6biFXM25cp3+9ObkYvFdhgT2ACVqmQWzeiKzggPs2uhJUuZIbXT8V2jEOxfL9SaTujYgdQG/9qi10m6lnDry2Ys9oERx3eF+fAUQfD8uf4wvXq+mcXA4PMFQLngf37qn2x6t4E3rhZ+Hvg7rbFVkUs+DMAKHIM8sCXjo1Xnz88Xj14aKw8s1CGH3mzYMm5KGp7AZIhy63kL9JHVlEtuUOGZFpi65CF3UbXSqCVQCuBIUnAZCQrcRY5vfXhbPXhxS3Vhc9iBe/W2KYxtl9u3folgLgJ65ho3xXkzY3q4EGWOy9ejYVOn9TExUthVZOu6E46ErEApljcCjkhUyIbJCnh8OTWDh4MMsKO+SC3Bhni8oXqwvmz1QPHj1RHDh+sdgfhbSK2Fb0fHfGSPQut125W1flizTSIe0FsnTXhHnjKwq9Dk2OF/Ltre8dCf6cpJbH13OX5IIrOF32oOmPFrJA7grxxIHC0g74yF1TjH8CJ6tsWwRZDMRCgLuwMcCQwODKx9LRhmB2mtGBKWqfOzlVvfTRbnYqthT+K7wdkEnrQzx8eq75wdKz6cuwosC8spCG3csrJIu3JM3PVz18LcmDscHA20oUV+Zk+MhbHeAlbyhpxSXMzOv1xkj4RKH/1q1+Ve6TJJ598slg7RXBkYYs+0fc8/4iOaUXUs+np6UK4REJFXGDNE2kWKRR5EkESmdQzZEhWVPkVN7+cd+JmPRaZ0jghXf4+//nPF9KntMwBJrFVvMIhsCLhPvLII4tEU3OC0pIf5UxyhfngZ599thBzWSlFsEXiRSxFbi2WGoNV48y6KgKodJBQEVLFi1yKBIrw7vuQX3njH7EV4ZY8veMHcZaMyDVlg/yKGOwQBukDEVZ5+SOL/5+9N/uN5Drv/g+72dz3bVaNSFuWPLL02pKz3AUIEuQqV7nJXxDkHwiQALkLkAS5CZC7XCXvD7CNBDBswHljJa8vbOe1bNmWNdbIs0gazaJZOMPhcN/ZTf6+n+fU0yz2NMnmOk2yDlldVafO+pyqOt96zvc8x0ml6NC5TjlJBwuwyGYvjrSQB+0CYRdiK/mTJ8RVrMG61U/CQHplnBU5IB/Kd/nyZQtP+1VzGbG1mlQOzi+OqURi65SIrVfvLFtfmm/qEJRq1rPKCJK+05Mf23PuB/jL+bl7+7ldK/9wEMN6OD+3PT/uFMDC2D6Gjr/E582c+CWefg1vju287CkPOiy7Zj/xut7wBLFgFJh/O5Gn+/s+XjZ/+ymfR7IdfjFqLJsdE0abjaGpY+C9ZxthY2BPKu4Tz7gjHRwku+jMP0kzXkn8kxMPF31jedL5WLAkkKVKWhVxjba3qRwxQvyN8iKSx6eXjNc2/OzcwnhJtE+dl8MnBzE7ZLMR3g9trx/fJ8VNPLRLAia7jbKU/XVgx1GedmhedqTkKL95PJcWeYEbnggr3BCp9TOtcgR2iEaJiO9tRMj9OXADuAncDeZh4gyrJHYLR7E6AJNnBsCV2sCZTKrylQR8spXLYn8l2XvsatKII/S6on/T7am/WGfTeU5EzwbGl1XvGDcZ3+UiG22jZx3LrJo/pXZkLFpy0k+O60qH/qcokLeqMGyso4sV/5J+ILUWFM6IwMLnEDbJSDRzpUP74VeN2GpXdBFipd5/srq6zpbcJ0lRjNz6bH4ljM4shl/cnQlXH86HT57JkvtSMeRlJTWvstOui+sFaYLzQc2q30hsJQ3xXUPjWim0NxTDSyK1nhWpdaClGHpFau1paxWptT30dLaFRh03NIv+mm/Tt23eVkNoVgJN2rDaSj7g3YYc0uZP9YTeK1zs9UT2UbcaZRzfQ9z5+qMwtiEfyLK0D2lsdsjKnafr59vtdyS2Etnyj+l72uCjdPtwDJbBObEVXEY4XGX5PB27eEA/GbG1BkHSEBmxtQZBKQg36YsgttJGfMgAyH/0wx+F//3//W/7OOEjyF3lA5U+9zDZfu8SOChiq5VA705e/e6YdcmH9fe///3wy1/+0j6a+ZhMt2H62OMdxz3PUEZs3X/L/Vik1o8+l3l5krL7iU51I10/Tl+3uy4Jw64cJuXnaVmySYB02Oifiptk6WmVr6f8LXn9+D3vYcv+dhAjcJi+7sdeLn8O3L+chufne13YMkxywUz8p8OTidxzaW6VFv72FyMRz/O0dOw6R3LJMWEinDXfXf1YvF1ETgf1smHNIA7eby7rrgpSa+CkAOzYwH6AbJZPsEEL6bJQBne3hcASGD2txdAlcmtpaSK0F0rh8qtaJqi/SyB64yOg1qwPI5y3LbLcziXV3i5Idi0lgVrlmXwHpmJmh5kEMglkEjgaCTDYA7F1bGwifPpwIfz4ZlMYnRaJwaZjey93NGU5ibkweIwCEGVpoieqy2pKj2lWoliyHmsKS3FlokMvq91hjqF0wmA6tx7KZwbT2bDexYB+a6OWhCzNhU6RGjg/O9AVBvtkvadVlml8lP7QS7w5A3AnJJAxyezeeDHclpL+ngbqF+UnowOH5sCcEAHOalm1L4rYOnKmMVyC2CpiQJP8wRVgO9tUCv/GOLQCVSRM/qbcZa/NXUZsdUlk+0wCmQQyCdSXBBjQhLD06Om8LRP62ZNceDTdJGIdA6VxoKu+Snx8SsMgKRvEPybx1KtDd1ES0XFJY52TIrSy1DwkRtcVHWa5wTXgBfZGLAA/S1ZMeNqw7A8uFJGsuWR4cH15Ogxf7AsXz/aE3i5ZciTCMXTIV6rMsCjLZYbDZdGUVRSWxT6ACIpMekTGYCldLI2hZ0RG+OOI80xxII0Qzyb6Kz2+PSCMdsrSK6RWJolxDwKZyRNMtiAiK1ZXIZlOL6zZSljgcLD3SyKonhEBhHhMpgJ3FoV7sewKOeXOk2K4+XA13BfBdXQyElvB7S9pNQFIrW++3GjEEayi4cgTIu2no6XwzgdLInyVjFTLs9EqlsJLwrFg2tdfajSLrxBQTuurB9zOmChkUYib7733Xtmy6W//9m/bsvRugZVxKLeqytgbxE2InpAUIHoODw8bAZVzHGQGt0wKMZTwkCexcgoxkvDoAZzgQN/ARjkgdGIdlbJBIL106VIYGRmx8WQso6aJrcSB6Anp86233jLiKOlSXjbTNag8hMNRJlZ9pA5YSyV94rGHuOnlIS4WXR8/fmxlJ09IqVh1hUBLeAig+BEWWTLmTBzqy9gz8sL661e+8pXw2muvGQEXsithKQf535VVVrc8S1oQbYlDeSGcQiylfhBvkZtbifVyWqV28YNMKaenTb2wLgsBF9LqG2+8YfmTJERdrOdCeIYE60Tjr33ta1YXiCrUvdJlxNZKiRzsOfcPGxZbJ6fnbBWca/f1zK23iIwFUVxtkjRLunUqm6p8rUrYdIntsn7K4ckhfZIE9nDPxX0uPF/vOL2sU5HKSXKg+uE28uF5xifx5zBJZSOMeZZ/Kv09/U3+iadf81Sj5UTKqSvx39JNh3OPGCaWyzM3vySxdBw7TjzK/pXnipcOt5FmcqSL5fQTecQyxoSS5Cxw+dgPkr2fEsiO9ZP288iVfulzl6PvLU7yUw5XPtjIJx6lybVEUsD4n07GjrdMv0p4woIpZzSB5smUJrUIr0wJZ4JDDtopK7snwUiM0YJpwD2+mlCXMFGcOJWz8VqwBpNwsOrKxqqc6CSJ/6JcWirON/BnjEeQ9wzA0fY6hNhKgde1yRs7o7bneoOIlYntVSiaehdB4VTl1CiGziytkiZXaYLKcjFMLwsPLuubUPsFEUtXZEW1sFYUabQkPNgY+roaDW83axJHY74gPBr7dfLy/hy5WR+kbPCPdxW5xS3mH9uJMov3Gh5OLYbPnuq9eWsiXBvViqdLjWFFyta88m6UdVaw4nJCbIUamxPhNayjcFWFVZdWhenMCZs0yWJrc1HE1jW1b6sIrR1mrbWjoy0sKf/ZYi48XRDBV+Tepia1fXNT6NHEuE7G8YVF8QPv5mWZFkkiuwaswyp/5Id8MdeH2PhpUOHtj2LgRwCrMfWOaVhY+UZHu/lxlMHG2Q5HlgFhUgmkopRv2dRl2sHxgLcPbbIVsZWw1mZJIdPxU1nt+zAjttYgQhoiI7bWICgF4UY9SmIrbcNgKsD6O9/5jhEfWb4eIiTXMnd0EjhQYmtFsf1lyAcaH8x8RL777rtmmZe254PSw3hUf4n6+XHZU+6M2Lr/1vpUs75RrvEasDdBsvfXgvs/fx7fG+nr5TAUK5UO8GLzeXI9CWPBU+EJXE4r5a/DquXE39K3AzusCJdOLwENHqecZszI8hBM2kgzxi2fx6yIrTySa6BCOyfvVF5JGL3xy+UxeSWJ2bFFjFisnF6Sll1S2E1p2jkB7J8gZecyK3vowLJKe+C3yZPUqweMYDi5mORHXBSsLJuF8tfIrVE3RsDDc4g4VW4+elC8ujUOSBldmijNrMBuzRTr1IyxsDwpQkYpvPElzSIf7NLARn0QWw9PSFnKmQQyCWQSyCRQzxIwYuuqiK1PJ8InDxbCD280icjQGJVjKEHqufDHpGwmwzoXJFiKCUJgKQbIi0e+uAaAKgpJt120aialcocGwyE09HXI0oJm3zeHec26X5dSVdZKhzrDGRFb26V9Pm3E1kiQCbLYGkkAWLi6KCKBW+JChuhUIRAwXswxEt6Mtw/nASJvMDFldOIFfriM2BrlkP1mEsgkkEmg3iTAYJcTWz/UMvS3RGx9ONkkaz2Qy5KXeL0Vus7LQ79bdjqhL/T+sOxfZweGHTRODHmRCTrgiE31OKLyIieICBAxsablE526hAG7W0WiDHOyzjQTRi72hkvnerTMaJus4R5vYisyn1tcC2OyYjoh0seK6TYjsZWVDM4K80FsRR6sAuGPJUv5TonQirVWNiy/gukhZkBshcRhFluVRkF+DNiDDbGUNiUy692xYvhEVpqxzktapAvJY0RWVyGpgi+xeAa5FV0r5JTHIqbcflKS5TURW2WBNRJbg9opZwTVVy/kw/96uWCWdikzDgwq3kT4+GEx/J/3lxS/uInYeklE2lfONYY3LhUsTwi1p5XYirx4J0MWZdzsgw8+MEIplkwhL0JyHBoaKhM4IWNiaZQxN8ib6PEhd2KR9OLFi0a6hJyJP6RICJOEg7yJZVJIoVhfhQgLUZOxrUpHOSBzQvYkDcimEFuxJkra6BSc2EoYHKTMr371q+Htt99WW26v+8ZiKwReiK3UhXITjz11xcXxifWAHCgPYW/dumUWx8jL5QJJNV0H4iFL6opVWPo6HLKE3NrX11cmjRIOQjFhqQdl4Rzyr1s0o6zIfHh4OIyMjJjsenp6dqyjZbrFj+eLjGkXCK740SZsyNnJt8gaGSAvwlI+yoKsaRfK4iTidHbIjPBYg8XqK+3OPQKBGKL0Xq3NpvM4zcd+fzqx9f/dWAtXP9cwUEmThNajBWTvTyufMPwr/UyWaU+PnBayX692rVo4/NJhPX4S1rR/vKwJ1lBNFxgxgfGrLG5MAN/NSW0+S5KvbVcR1U4pUuJvz3b6PEl1q2ql/csFIK3kwqbs0ifVIqavk5iHSfmnDmN2FR4VpzFM6nfT9U0nqeS28k+lU3lYjlI+SKWHcMv+sVLVWj+dZjl4hedW/lI5G64B64A/mDgFFjlsp9vYsDfYBwwUVwXAor0mDQkfuUV8LLie68ubVVeIr4SFFFu1PodcaL+tyGYDhUdfHk/eNdx77I1YCXCzikK6lFx1Le65HjeQ2LrYmWzwiUsycwpxdEXAbEmE1jlZNpjVsgETIrM+W9AEq0X5idRalF/r2kroya2G871MPGoSUbQtdLVrpYSCLMHnGTtwnKfSUjY5e05VppLO49uBOwppxo3iAjhRO2Md9rOxuXBzdFbE1mfhk7GlMK8JAdQjL/IqxFYhmLDSIKyBnVjygNgqK63QdHN6IXXmZfygsRTOFlbCkMbd+zUe39fZHno7tcpXT0doVXknde+NzgmrPJU1WAmhQbi2VzdCnyxR9GFQoQVic6OtVNAqgmtzfl1GA4SnIbYqD96JWL2lXBTBZOu1wo8/K5tOdAyTg2riXC4WisuJK1thdY/t9vbiTUWuEtbyqwji7QOu9HJAbOUYrIgFfcc3tBv+Ho5za8sqee3HKyO21iA9GiEjttYgKAXhJj1MYqs/EOzJiw+Bb37zm+EnP/mJkVpZPgF/Z4/XVuos1EFI4DCJrZSvsu2ZUcgHGEuZvPPOOzbLkA8zd8f1PqDcGbHVW3Hv+xkp8xakLIswIKaj1wZ9vznvn/FLH3PRwtk+xne/GE7dux3QQVeP6+kRzo8tpeTc/PxaNb+kDB7O87d98sO1eN1+dcL8n3hcLn8qrMctX/NopOOeqfDuVd5bOAJEh78lsSmd5Jp2pGlhNKtrTWgtLnEQA/NbTtcP8Ev8LZR+0ns71nWcpWsHFWEq4pBAtTQ2x4+BUI7OL2tZizlZGZvBwsRBWckqw08r+04/fCSheO9sicum8XFk1lq1by+IjJFfCStzz6QQLobXv3QpDNaRxdad6pZdzySQSSCTQCaBkykBI7ZisfXps3BbFlvf+6wQns5p9rVmYLOEuD7OTmbFj6hWEPlYVhRiAIPB9erAXFjpWoHYKoXf0RNbN0umTQPoHVIugqMgtQ6yHKos3xfW5jSgv2aThrDYOtDbISJDswbiBMJegKNNj9piK49kQWNjTKCCbPCqrGJdkBIeS16mgJdemTAQIhg48IlfroA9bDFBaKV8DBpgGcPLRL4ZsfWwpZ+ln0kgk0Amgb1JwImtj8fnw3WR1T4fz4Wx2SbpqTSAyMhu5nYvgUSnBcnQB/QP05r77gv4fAywAhgQ66EHT2z1bwpQJ469+5nHph+wBBN2ehLL/Swd29e+LhKChrVLs2F9ZTq8fL4vXDjbG7qx2FrP5nA31WzzCTpO5A7RY35JS5FDbBVBlXPuHSYJGbFVOA+CL/gvTWyFHDIrK2hYa/V4fHdAbCVstxE3RN4QsbVRGA3+AXreWencWaXhlgxLsDTwrPKm3XGQYV8W0fQLWhEAK6rkC6ajPJQLvSuEWEiqn6eIrZBYXx6SxVYRVLG8iiU0LMziqCf3Fvn915UlW4oYq22UCdw/rLyId/miiBMi8VJeuBqn1aGXx4rn2NiYETixmMr26quv2gYRFYuhkBGwMAoRk+uQFyEqQAbF0ieWRLu7u43oSJqMxUJqhBRKHCx/QnDE0ilhIXlWcxApIXlisRUDNcR56aWXjHAJKQIHsRXiJGWAWImVU8imb775po33VkvX/WoltqK7oByQTm/evGnEVuoHoROSJuVnbI7NXRzj0AobkuW1a9cC48+QOiDOQgZFjlg5xdEXInfkwtgl9SEeJFPSgcQLARS5Q4qFcAqRtJJM63nXuoecSrmQIe2IPMiHPGhriLtOPKUcEGt//etfW/2xXuuWY5E5bU9Yt4rrZciIrS6Jw9n7fQaxdUoWW9/9uBSuPdCYWmjRsJ86NN2TajpzvveSJN7JQJj7bj4th9Hl5+L7Re390FOhXNEl7+LkLPrG8T8Pa/sk+AYlK141b6UV9x4D6hYuieRHG6fl8O7FnpLYuX7cX14broo/4dLxHD/E+DFCPN6UjGXg/r63EDHKpgJUvb6R3JZlLos4FfZFHlpLx+Z+kcV4Lm+wDvgDeXF8lI4uwTZlir4KbOVWXMFY6BtZAQnr8ejY0EWCQT3OUZY1LZrkiVP20RfZ2YaPecWJTpFEyRj+msiXGs9XeLa4oit4SpW2rUFGoTSBTdhxcmFVY+nLwnTLmui0HGYXVsLUkkitWG4VN2NRVlsb9DHQFZZDf24pvNzbEC71NcrAQE/o7+2SHrZdfU3Tpr7G34P0wRBBlVVScizEupVYedIeAqSCokE82nD90Vy4+mAm/OrORLg7sRyK+VYFIbzsXYvEmtdW0nt0DXKu6kfl19Vf51VLvlZ7m9ZCn1ZIHdL4+2DLur4XZJFXWKi3C2JrZ2hqaw1PNJnr9rNV5bMYxueLyrsYOvSx0S0yax/fGsK+nS2yAN/eHAY6mkNvW6P5NYvYWjBSKdlKrty8+ofYypgJ98h6Lsob2ds7l2sqv+zZUlRz8V2cnEQv/XJe6Ve+mDrYCLdxT6Qu63DTI58kmcZDac4dmAYH9mltbc2IrSaNOvvhhsmIrbU1Cjf6oRFb9TDx0NEefDz84Ac/CD/84Q/NUivAOv1geWnjw+5n2f4wJXBUxFbqwH1Ge7PnY/iXv/ylkZuvXLkS/ud//sc+sAnn7e97/OrdUaeM2Lr/VmLQEwuc7qwvTjrkan7pSw4WCFfu6O39g0+qi1fATfFiBH7Lrny9HD9eMv/yxRT82CEcsVPRyvd4LBfvx3LWdmCniV/6Ujpc2t8jpf3sOO3hZUj5lQ91EI9jWXhOfeM5tGtJ4GS3UWB54EfZ/JqXM+1HBA9nx4T3OLbnavTzffk6YNCucn1DXihWJ+dDuP9My2GNRaUuA/mH5biLUAajKGa5V61YYNYLWK4CxbF06rZ0F8t3sdlMvwbNPysthenJpwK+q+G1V4alPOtRGtvPWj+sOqTTjR+WfFRGmSLv55wqTb31itM+gvbnwmQeJgHE5/enfesk8kyLtSxLHeQlVD6qkwmOmRQzCWQSyCRwpBJgcMgGzURsfTg2r1nSDWF+tdmUGywrZC/+Iy3RycoMIgOYhEk4DAbXo6NUgnxhWXiKJcEeTGiC2SHiqLQMwBUslRrJC5HAIL2iDahj8Z5JQn3a+kVmaM4thzUtO9vUuGZK6IG+7tCr2fctzc0aZHwxpBsjtuq7ZUzEgM/Hi7Ys6z0trSrjBjUtreYYtyr2SgsqOUZeYAYIAFiyQvnOcq8DnSIASE5uIZV7DZIDhAH2tKc4Dob1qiR7YF7gm4ImeYGHUQwzSCADCIaTySQjth6YqLOEMglkEsgkcKASQO+DFbunE3Ph3tiK+o9cmBMezGmZycbG42kJ80AFtMfE6N/RbdL/QRTFmma9OkoG8RCLnOCa6YWIH2rFKLuvFzmCHBKSQaJfg0gARxUs0Z5McooTnVg+di10aInR4uJ0WJidCBfODYYzQ32hU0uMNqOYO4YOKSBjJkotrcblebGemia2olPsF9ZDJlgZw4oymBDHvQXunNGAPRvxaEegMaQNVj+AmNopS1TonIiGBa0Zte/oZCmwYhrEVtodkixKVwgdL/VDas2H14Qzu0QQIG8+ZSgnll6x0grmJQ3uF7euCyEEYggEV/JlohNOUe174/54Kbz3saxnag+J1yzLKm0stkKmZRUCCLFYpvU6WgKn7Aedor+XIZNC4rx69aoRGCGUfvnLXzbiKARLSJgYjoGoCmkVEiSWTiFdQtpsa2uTLCFXqN1nZiw8VjsJDykWa6QQQiGIOsGzUtwQLyFTEh7dAeEpB+RZ0sciGKRMCKcQQiF6ejkp606uFmIr8mA1SOp7584dqzMkUPKn7JA7tyo/+VN3xqDJi3QgtmK1FVIs8VxGyIn+EFmSD1ZUIbcynk29IPUS5/Lly0Y6xa+SRLpTfdPXvV3IA6u7WKFFR0OZXn/9dWtnLKq61TXiYjWXcHcTIjFkZm9zLOkiE+6NtMuIrWlpHPwx7cgGsXV6WsTjO8uaAKB3Y2unJo2nrAjH12wsAC9GuWT33LF5cL0yXLU00n5JRIvmkfX2T5Ipp0fO7sdB+pjeonxOGSzNGMiO7cfDxKsE2bjmcbTfuLyRpvxS3puO/SR9nbQZj9rcMfBei7lWhk28PalNZbAYSYR02fDHVcaNvtQjRkqiWsDyMfHSJx7J00ud26HCbhH8uXQro3JucaskUMUrRteFeO35EGWf8sHmHKt571jXikiOhcEZTLwGu4ApjtKBRuB2glfAJr4iADqrAenWsIx/rjcXLgjHMCmHMOCQiGKOrqRpsWw8odEXuXO0JiNZHg5NKCazzGwWpFZtgoGm/yvKMisbFlohtC5JKTijiUxTi5okMrcSns6K2Dq7JFLrqnSGWDKVLlhto1P19euhUFwNPSK2DuUWwqWeEF7WhPqLmlA2qDHt9rYOYe/Y/9F/4vw9aP2p/CgH5YQoD8lT4jdnxHnh/jnlMbks69YP5sKH92fC9YczYXRa1kTzTdYnm0XWtaLG0mWDFlJrrGXMR3WC1NrSUAwDTaUwUCiGwaairLVqQlhnQaTWLm09obNLBFyRNx9pAtgn4yvhV3fnw+jMir5z1adLudoqwNwmMixt3qmBfqy4DojcOthR0F6Tuwqy5KqtSdgb3TUTsnQLiewqPC7hg63XRH5lK1JONRLtlF/PaduQImf36AAAQABJREFUCxX3d4hLwaUTz7f7jVKMbR5/q4W23FKXaQdvGzAUjjKAZ3DgjIzYaqKovx8aKiO21tYu3OSHRWylHfho+M1vfhO++93vhv/8z/+0DxA+jKq5zQ95tRCZ30FK4LCJrVuVlXZmmxfo50MRkuuPf/zj8O6779rHGfcMzu8H6xQVvl4d5cuIrfXaOlm5diMBnjkADxsKFX8Gd0rDH0+e0vJxxSNbeS19HgFdjFsZ32eLxvAxUcKwXNaTqfXw8eha+OhzWSmYFUjXIP5hOT3m9hGEQrlToBcls1uR6BGpFWJBl5Y8YBmuDu0hH6wXl8PK8kJgJjXvNRSMKMNQTDnAPKzy7pQu1hwg3qzqi1JNbe1WKT3qLOxuM9EA7BxnrroEkB2z9/hoZ0CB74ZNz49kh/gaJER9F4kcrQ8xjcFABMlcJoFMApkEjloCTmwdH38Wxie1jKEs8IRciy1Hh0USZlFnbu8SgNC6JJxCn1C3xFY1Of0/BIaHz0rhyp2iLD5VIoG9y2CrmGALtlZpBFEimqV7WWft0eB5f6cIrVIu+wQh9kwQmheJYZ0lp9SHYh2HQbz9DiZuVb5a/J3Y+lQD8/chtsp6FZarIrF1hxQEYsGx4AT9l3HzVrFcXijikQfEAQb/05a0CCM9tgYL1vQsi3DwNFrvmhYBgbIe9uCBtadIFCxhe7YnZxa3uqRYBgvjMmLrVq2b+WcSyCSQSeDFSgC9D0SeSZExnk0th6WiBg+FB5uaW6yffbGlO76508fT/xbVAbvV1nqtDZgEwsEzfQtgifORiIvgQeqwd5fGkxELVKYFdsC6u+nXpENjYpNb7O8VHgQXghG7wROyyNSk5VBnpidFOhszAt/AwICRuNyaYWX6x+Ec2fOdsCrdHARTGc4y66n4YZ0VUin6RUi/TdHwn2Fo6sb9xaoLCyK0svIZbcj9xmQnwrcqLgRXJ2jAMCDdqQT3Q2y9+RBCQySbUBZw+QURPL6IBdULsliVEE1jOSnbmowLQIAu2cpZWIulDcF7Z2T1DOu6NilNei5IAO6I/0xhP320Gh7r/uKY67S9rT6gPCGXkD/6sY2YnsLp2qNHxCAMhMwPP/ww/PSnPzUSAqRKlo+HwIi1VMbTGG9F30xYlq4fGRmxDUKkfdPrQSM9rIKOapl7SLLE4xxSJunwTVVJhnSJQ2ZFlw2hkvAQW8kfK6kQY8kDYqtbgYVYiaVRiK/ov3dytRBb0VsgD+oJoRViJ8RTnn3KDkFju/cARA4ntVKfr3/962axFSIw35Rp4ij5MFZJ+p4XY9gQQCDsImPqBZl2P442of/FIq4TmCG30g5867722muBdxz1So8dUBeIsJCIaUeuUX8svEIkJi5lTbuM2JqWxsEf05Zs3DcQW2+PyjryTFFjP31qi0j+tjbUe1AhYwE278wv8dLx5jegkk6u66AcKIYhX1zZO32c8iwfJgd+bns/sZQ2p2Vpp657WZKgm/L1Ew8ew8Yz92PlSkvTA+ukfM3rnXhs+EtNmYyhbTwLTmz1kqTT0XFFQTdON+SWTn8jFeJunJUPk4PyOeVOn6TOYxt7PjGtcrurjluXbSPNctK15JsUN5YnRvBxVBduOk9P28tv51XyIVkPY8eb8ql+bVME4qu+WIRnZaiJ2ZJNpp8TuZIxs6N0wBGzZi+M0Sts2Svdo+FN4Y6+jryN7zJ5fLArL+wUx37BqLEVj66k3jbkuHHPRF/aAgorZ7KnaoVqlAIwJ98cpMrkT3xRkSylF9T33KJwIWPnkFkntI3NrWpVDm0ito7PrgjPLWtSVFETlzRxTORR0UhFitWKHcqsdW019IWlcAZia/d6uCTi70vn+sKQiK0d7SK2qu91jMFzyT3GZsc6XzM/7hPhUqVtFkyVvvmrQSZlFfbx/Gq48vmsiK2z4d74YpjQOSRWZG+ryEn/u15SqfCQ5VQmZ5kMVMZWSaFdJR5qWg1DzauhXwTXPibYd7dGYmt3b2jX5Le8vmcfCHPeHFsOP789Hx5MLYap5RXVUWRbpdsga6+FwnpoE2u1W+TW/pZCGGpvsq1Plqwgu3a1iPDcFEmurcLi6LFZ1CSPtdYGLMrKaIjKY8+ZZJ9f04QybbQizvztwE6tpeI1rscw8Uq139iyHrNaiLKf5ENyyMs3roGh3GXEVpdEHe+5YTJia20NxI1+0MRW5A9AZ5mIf/u3fwvf+9737OOJD6f0w1RbCbNQhyWBF0Vs9fr4i50PRz7K+GjEeiv3Cx90vuRHOrx1Zu6hvaeR8jryQ8qUEVuPXOxZhocgAX9375bYSlHKUCw5KJ+nyylP97e9n6TCVPpXBvHrc1Lejk6tycrAWvjwnpbugtgqJe1BOD3SAt58zEQrYlid8qUqsD4AgRVyAcp3Bu47tQITylwsTBAH5S6r466uanBosT6JrXxMzokIjBzduoP03GWn6kt5EC0+QKawOqlumasuAb4fsMTCh2N6Cb90aKytIUcj8tj9g/WRjDyWllF2nEkgk8DRSMCJrVhfmZyaVV9Q0kBKiyngG2VG05YsOpqinMhc6E+ZQMKe/qEenZVRE1yeybrnrdFS+PF1WcIRrjpI51iC/g8sAZZiEJvBdiYIxWVSo2LZJgipT8RalPSJ5UH81eXFMD01ocF4EVsF0OqB2IrsICFMSUn6RNaqsFr1eKokpXCc3LKVDLkVwNoQPY28IMywpEnzbj2/WjxXxIM/B0UYGNGSrVjEOi+rCZAVsHoLuF5RmhNqy4cTpXD7iZTX89Fq61Hcg7Qz2IYBgZdEvMVaF4MGWMPAZcRWE0P2k0kgk0AmgbqTgBNbp2dmw+zckgYNc6HQ3Gpkp9aWzeSYuit8nRbIYR/4j/7dJpgcLLw60JqDE9BfQGj91WdYoS8ZHqTce3cuBVJggJVBanQhrl+LeNCtipYnjENkZRNGbG2WNaUED7Ik6fqalkqdnNQ408khtiIdJkfTBuiSsO7L5Dj8mMyFbhGsByEDLI0c3dn9pTZaER4FA0KghrjK+ARybgIjopdUGkQj/HPE1gcitooYixU1roPlzotk+oqIrV8WsRVrZo7lIDqDfSHCsioAekTIuOgM0YOC6cHwkHEpL+3tjruBeOMixE4rLvEUxEis4H/Iu+TNtwL1PO2ObwUImIyVQVz92c9+ZmOpEBYhZUIshfAIYfHatWtmUZXwkE2Hh4fDhQsXjOzohE3Sm9SzM5oQWyFSQoR1i60QVLYihvoYAelDbIUwCyH0/PnzRmzhuhNbIVxCbB0ZGTHyJ/udXK3EVoi1TmyFdAqRlrwgdWK1lTps5ejnIOei/6C8yAmCKkYnSMPlRHzywUKtE1sZp8QPAjCWUakTpF3qXzk+uVX+1fwpi5NUsXbLGCh50g7UifTZO6HP06AdkBntiWVZ6ga56Ktf/aqRW90KbbpOGbHVpXc4e+4pNoitPFejT6fDnMweDg4OxTbUS029YDlz3oe1OiW7rdvq+rbRkovbhknlWg5XPti4WMUrXixfiAfl07IcNnw2jhIZbXjEtOTNu8efBZdlZbCNUiVF2CbAVnJ7Lo1Kj9R5ZRrxfCNTI5faKcQ0dxATdRb/o2dycSNM7I89Bnu7lo7jfsnFGDcGiMdciCRI69w5lbNrSQB2z9XBQnnAJHzi52E9jSSZeFUn6VriGcM3mKV3dFT3NAn8kfRU6B4PcxUDMIlN8BH2sUk+pn+ME3CYhN1npFZNnEr2XcIf4CUf9y3jraTeR7lLy3RDntEXeXLEFuG58Jd5RN9l4bMlAfdZjfXOijQ6I5zFNqttalEGDEQandB7aVLb9JKs9a8wKb8kXJes2irsCOmUDBqld20vLUdia34xXNTEpZf6GsNFI7bKwntbu/W5PvGCvpB3oDvu/fUkLfwhtjK+gF+JTW30ROX5fHI5XLk3E66K2PpURNtZlSvWUE+5wpmO1HTApAyxVWXF9mtDU2jTd0FnWAlnmpbCUGEl9LWsacUvWWvtbRe5tccstkJszcmy7OfTq+HG48Xw889mjdg6s7ysEsYyreVVbm3irYYWAdc2gVOst3ZqObFusZy72iKxtVPk1i759YjZ2qPjTgH0NkUqaFWxXG5NdYM8qrRU35wsyjboezrWhV3SmiaiKCch/+R6PNfJFo64Hsb3VYK6/JMgyI93JvIHJ7jLiK0uiTre02gZsbW2BuJGPyhiq7/EAP3/8R//YaTW999/3z4+nNDqYWorXRbqMCXwoomt1C19P/Ci5cOMD0dmkUKK/vnPf14muHpYfzFXxj9MWW2XNs9QRmzdTkLZteMiAZ4xnkM2V/rUa9lRpD7UsrnX7q/JylgktmJ1bC9Oj7ApiVG+sqFMRYkcl6cQ+TBFZDVCq85tWS8pbiG0CufakgR8QKUd5Hxmd9ejxVaWqX02E5cBw9ItymwU6C5BZMIHHXKIRBQ+9FyFkK5ldowEJDop9yOJhCXkGCBguTbkKVHa/cV9hSxZYu1cH1bN8uGMtsxlEsgkkEngqCVAH8/ACMRWFPAcM1iGZRAGR9KDIUddtiy/o5EA+i0G0J9qkPna/VL4/q9WDFftJ3f6Ozq9NJ4CS6BUBjeBoRjAZmOwnD1+TBKC6EofiWKZ+OAQHDgKazbcs3xz1QOxFb0h5ACwKJavUNZPiUjKgD9y3coRDwUtGGFS1tCmhBdY1lWPn6VXLZ7JT1gMK1iQWV8522jLpWHZluWwkJWyFUlgLTzQ8q53NWhw50nRygVxABxCvofpaCrIDENSekO8fUVL2EJyZaAAlxFbTQzZTyaBTAKZBOpOAuh9sNgKkQc9PvgPPAjZp9LqW90VPivQgUgAPQZ4AcvzP7lRlNXWkk2S2Z9FLQ3sGpaLmA7ro5AtowXSDfKqY0HwoE14EpaA4NimDYue6E9wYEB0a5C5IM9BrDuOFlsNjunH97F2dmb6JNqCzZVIyBCCRpRlDO2/ngZ41FYNEpYkLvgZuTk5w2Xo2BXc+kArNdzCYivEVhFOWaaW605sdYutaWIr10kfEi26QybHQ06JesPYtugLsbhq5fWCJnuI0pG8Gyd4gekpG2TWRt0bZjkLQJk40rVN5+xPm0M3z31/8+ZNW+XQv4Ww2ArBEqIXBmK4znscYuerr75q1lKHhoaMiOkyIy0MDRH+o48+MguhkCN5hrBC6lZbPfxWe3QE9AuQWyGF4iCMOrEV40aQZd1y7PDwsIXZ7me3xFbIn3fv3jVSL9+EWJClvvRZtTreHxBAKSty417EISfKg6zS+fDuIRzxIA0jZ9pgPzoT5EZebuQHciuEYyy2uoyrWdGljG5Bl/iQVNDjQGx98803zZIscuH+8HplxNZa74y9haNN2JzYSj9Fu5w9e9YsAqfbYm85nO5Y1lfofnZya71KQ7fAJmenKb/UYaKb2fDZOFISOtl0Hr229Sdji1P+SUitXMBVpmnnFjgpSwyWBC2fxBDJaTqN5EL5euW5R5H/uFYTYhL4Da0IcPtxJLeCHw7C8eY2nKAD9uAIJvO47hEdI5NuILSic2TiNZboo/4xZ/pJ9I9JF3AQRaqSBnWNfQwXN5958I2xWA/rPr6PbRjP0Cca6VN7sFVRRMrZlbUwI6v6T2WR9akssz6bixOJZrQSwIyIrVOLIo5qmxeAW5LykNU7zXqqlUmlkhAaZBU1JzzRJGut7cWl0Ncgi6355XBB45YX+5rCBRFbB/tFbBUOaFGfSB/F88nGO3DDJcRW9KLyh9RqxFZ9YxYFEDWvPzxQwW49XQhX7k6H3zzQ5EqVcUlEWyzQRmKsjpQk9cw3YKdVulYRW3Wmhm4RqbUUusNyOFtYELF1SZZVQ+iV1anePuETiK3a2tpaZJG1KdwTgfb66LyIrdPh4eSi5BSJraLLhxXhUIlP5dOm1LF+W1A5mwRQW8V2bpfFhc5WkVpFZu3W8SDWXGXJtV9EgL4WkVvFCWhpXBeOFcFV8jMZyhqst7jtVQ9ruZSMJH1JgQ2Xll302fglJte3C8Nly6QczdsFDzCiu4zY6pKo4z0PU0Zsra2BuNF/93d/N/zt3/5t+P3f/317GdUWc3MoCDFrYtH/6le/Cv/yL/8SfvSjH9kMOh4YB3mbY2RnL1oC9UJs5R5MOz7eGcRkWY0rV66E//7v/w7/97//b3g6/rT8MvZO0/fp+Ed9TBkyYutRSz3L7zAkwLsawMPGc7gZmB5GjntPEysBZWLrXZE0ZbF1t8RW3jy8flCoMjsPawjs2/VhA6kVaxHRekQw8gWkDJTxWBLjYwkLCJAK9I1toLXiVWbK93oltmLRi6WH2Zgxqe8bW7oMLBzlEj8IkUdnS7S+gEwq67j3FjxZMfmYnBapBVk+lfU2ZkUupT7WkRv3CzI8J2LKF8/kbSnhS4O6eTKXSSCTQCaBI5YAfXxGbD1ioddZdui3DprYCp5iIB3sgJIYRV+HrNpjicnIrImVBCwkoFBmAN2sSakrBFdVG7yvS2Kr2lJ6VbOSRV+Pcp4lYJEpCtgtna6hnAUjjJmlVyn6hccgFRA/7cBiALIWDfgb0UDYwa2hQmoFjzomgygwKQwCSQFiClbXWHasbA1jc9LpbA7smDYe6smFLwjffEmWviC2MpCAy4itBybmLKFMApkEMgkcqATQ+2TE1gMV6bFLDNyyX2KrwwzDLokEzEK/sCBkRzALE2DAfuBBJvqyFCz6NnRsNrFJeAfyKyRHsCRpOc7hu+W4E1vRsyFrI6JilTURmqpq+kQbVNcP4dxR/7Qc3J99TC9aeYVsCqaXmEROjzKE2OEYm3QI7xZb90JspbxxxYGIY2dFkGViN7pQ8uoRxo/6Ui05qzJQn7Tz/EnH60gQqhvTVvoiW0Co9u+JJvSu3A9KzO+FdJon+djHUbFMeuPGjQDxEcIlpEpImTiIpFx3y6tf/OIXjXiJBdM0KZK0eM8/efLELLy6xVYsv77++uvlSYM7yZOxL8icWGljY7wXMt9hE1vpp8iL8kM4xRgOZE2IphBMsaDqRNud6sB1iLxsEOXYcD4GgkzJ567Is1i4hTzKNeoL4RRZX7582ci7EHzTcraEavzBGi8TjGk/rLX6ZGPSxFIr6XrZ0kn6fcH7ENmz8a2MFVruDYjKEJYh4vpE5YzYmpbgwR97m2TE1oOXLSny3vFn1e/pw8npYFOlb9uRi7ZdlpbARoCK040LFUeRBJfqgLeMGENWRI+nVeJU8docVQGqhUHnxfjjb+4Vw6fSVYE/0H0dhGM8Nuoe4zgteJMxtw6NYTIxJ24Rn5jukfFchTFslIzpgjcOz6meKAjl1rFYKkRHzct4Rn1z9ME3aY9UOItnorIf0yOW6A/ZNKNpSdhvXmO5kFefLchw0XwxPJ5eDk9nsMxaCnO6tlzMCVvJMmtxVfp/baViUDTRQrHQSpk850jKbBC3q0lhOkpLob9hOQwlxNYLRmzt30RsLUiB26A0Yn3iPcf7MEGuFF94TzixgYkWErT6W82LCgva7ohgeuPxfPjwzrRWYp2VLlTlUr1iiWLZDC+qnBBbJUjFZS+SbGgO3Q3FpHxzYUhWW81aa3d76OnvDT3CQD3qS9uklG7QR8VdEVuvPZoTsXUqPJhckMXaZRF4VRylvZrLhzUB51iHKA1OOM8J7zTqBmkScbVVN1u7LLn2Kc1+WXIdbG8OAyK39rY1ivQadbOtcArsW0b3WIJbIVtH0Ku0rb1VBUl9DWUymz+qtid/nO+TY2SqLf3E8l4kcjlkEsaTIybvS++fOMeBHXDgDCYEgTUIR3rpsJzHPCz4gf00KJNymQ8s1ROWECLKiK21NSo36W/91m+Fv/u7vwt/8Ad/sOubFlkD8gHj3/jGN8zKJscA68pbtfK8thJmoQ5LAi+a2Or3g78oOU8fc76szmZqeso+5L/zne+Ed955xz5gmaGI8zQOS0a1pEuZM2JrLZLKwtS7BHieeJ+7Uqcenq+tZAax9cGztXD9gSy21khs1aMaZ2GBp3XMRxAWBbBKyky+Tk3yjjP6otLdLIjJv0Mzv/g4atMHEGH58CGtnRyAsV6JrXfHZNVrrGjLgfChyWAGyyY7wEQRjfUETUST9QxZ3dIgBJa3UJRn7nkJlCS7Z1qSGFLrqAglkFwhC+uRMofcuHcgebCE8OWLjUb8+IIsr2Uuk0AmgUwCRy2BjNh61BKvv/wE9/ZFbN2EqQQawFUMbENqjZYRNggMvWaJKw54g60gN4AvwBk7uXoktlJm+neUrZAEmNxiilf6/KTfr1YvU0fqOhj2ifDC51hYFR7D2uvsoiwQpOIiX6QD2QOiwMX+fLggcitWW8GkjZId14kzJ+sMWOL/TIMFLPE2IWuwy9JYQ3A4KkcZz8hiK7jmS+cbw0BGbD0q0Z+ofPj2ZNIFfRQOPYtbxHI9Ef7+rcoeh0Let3Q4u5j9ZBLIJLClBHiGMmLrluI5FRfAL/shtjoeZHISejLfIK0aHpQeiWMjsmI5Szo3JsOAB5m4A270iU1bCfy4E1sdM0IMBZ8xKQorq2BGJnY1C9MZEVV79HDIdCfnBFlWAbAJUqSZkEJJi8llYEgm73t6eyW2Uv6ibpRFjYczkWpMqz08kxW2Sa08ABGZvM5octNglyz2a4UB8kTXup3jvmNjEhblBxsvJpOy0NFCPinfI0qvVh3sdnket2tgIoiWEBOvXbtmeyyGdnbKVplwEquusOqhEzyHh4ftGAJmmhRJOhA0SQsLr6QHkRJi6xtvvGHL3kOGrIafiMtGX8GeMI63+EajDPsltrJSI+WiLtTv7bffNsIqllhx5As2pPwQfG/dumV76v3yyy9bHQhLnavVwTEjaXHd65AOC3EWsimkX4zsYEmVvhFCKziUDf0+4SCRjoyMmNxoC+SxG0d9IEGSBwTaTz75xNKlPOfOnTOS7lZ18XwoB7KnHZEL8SC1Yi0XS6EQcCkzLiO2utQOZ097epvSJpnF1oOVM8/FcSS2HqwUjm9qT6a0qpDIrFfvroaPHxXDfem/9kJs1W1g+AgskEvwJljDdWWMW3YLV7p11riX/lEYtFNYkwlWYAviH40TwNG7IYgoilsXuRMLqUA/0+Jh3ZPr8oGeyF90IiMmhNM1Wf4EJ0V9oyYwSem4LKA3vwJptWST5SekQxzXRKPxuaKIrbLUKoutUwurcZK7si6tqcKyQtqwXlQ+8tCxck7KAvGRXJW7ysO+QWTLprViaC+tiDgqi62NstgqHd+FvkK4cLY/DA30hA4RIpubmq2PoV2sRjrg2NJTUuvryldpSiMpPTErwql/Vl+5pNBTAsCfjC+Eqw9nw/V7s+GWSKclKxcloxzIiSMSJ91YttUG6LhqxzVNohexdVCk28H8bBhsUlm11Gpvb1fo6h8I3SK1dqkPbJVF1QYpqe9MLBmx9b1bkyK2LoappVVZZhXhVoUt5RtFbI0TXCRuOeEd/RpEh4yr/HKqA5i2WT8dwgSdzU2hRx8vva2F0CdiK+TWnjYsuuZ1r+VDW0HWXrUVBJAhuDI5C2uuOeUXa6Q8qG9CbOUdF2VHPckZF8PGQ/kproVPUjD8okgxFNd0ZOmTRnRgE++f8OEYHMOeSTRgRZ8EQ3rpsLFMJpAktYPZZcTWGuRIQ2TE1hoEpSDcqADff/iHfwh/8id/Uo5kD0j57PkDv9lZrui//uu/jBjLxwxLGLmC+flYmU89SeBFE1trloXeycws4UOcD+dvfvOb4Z//+Z/tYzP9cc2xv4grX94157WHgOSZEVv3ILgsSt1JgPc6zxEbijLO69Wh+LwPsfX+Wvj13Wgpc1p+gM5qDl8mYzPj3y2zMpuqXZbEIFj0S9neJ6sRbFgSw1Jrc2IhwBTtArGQNvS421Ytj0q/eia23tYytbefRELFkyl9GInYioUEmhxZUU9XiMdBiYzYWtm+6XMGEZ7NlswCG5aEp6XkRzHvTxADFMgTWQ4PNYY3XorEjy+eAmJr+j2yE7ZMyzQ7ziSQSeDwJEAfn1lsPTz5HoeUBfX2RWxlIBtiKliJwWcwFeRGJsIMaFB7oEvYSuRGcBUWEugDUSQTz5TRNeKpeiW20sbWx+uHfa2QmXBYeIUYcE/WVT97LMsKUvhPiJiK0trTAYeBHUxZL2X82d68yZUl1CBAmJ41yXd6QThYk2seadBgQnsGC5xsSzmPwmXE1qOQ8snOw/WL6HwY8Od7FEKBW8Ry4gDh+MZyggHnhEMxn1bOV0qLcBkOrZRKdn7aJcBzlhFbT/ddwKD5XomtYBWwHRgvEgyEW4xQGURyBAvmDAv2d4IJI7GgKcGDToQF65DOdu64E1vB3BBDwWfIekZEBKysAiBN5yYc3S6LTxBEfQWDnWQCSRY8CQacEqmBtPFD39naHInDNkFd2BzcjYj3SmxlhUbxAGwiFpbX7kiPCFHlsSZ0m5EA4fyXpeNCzzUypCVbdc79sJUD60LsRQZMCGdC1lMRZWdVF4i6TlQ5o+VvmShFemDfXfIHt8r+WPmDibDU+v777xsB0gmLfMc7GXNkZCRgrRViY39/f0I22ZA/+IfvKQh3WDuFHAp5EzIrcSFqYvm0GpmSZ48N0id78JZv+B0UsfXjjz82gibE1rfeeqtMbPUxPuoAiROSJmGpB5ZpIXG++eabRjLF+phjxXQjYxiH+pMGdfTyE9bTB3ciH4imbMid8BBmkTlhseQKGdWJxF/+8pftOhbPasWXpIkckRvtgAVaiLpYkMXq7GuvvWZ18Uld6XqkjxmLn5iYsLJCjKXuxKdM3AccuzXZjNialtzBH9OmbJnF1oOXLSnybGXE1sOR7VGkujtiq/dbAgkpF7FmNDQEZvIVAYzMKnzQ1yFLmsKY4AWsx7vu0fWPPqZLOp5DKvnDOdQ7wSxyiiS6LsbkOpZBVQBBH27qmKeIjdFHviI+4qteSr85hWuIOEmXWNlpcYWVIVfDzFIxTC5K56cNK61PRWh9orHIqYWiXVsVuPKJU1YEFQNCa4OIlEKBKaUlpEgRH4Xv1kW+XRdOhNjJ81ZQudpKy2YR9UzjYrjY3RBeki7y4rkBEVt7Q3tbh3Qu0ao4eVDq2J9GIiUJQWxdl6XV9VzRiK2NIrc26INhXuPOjxdXw7Un8+GD+7Phs0cL4cHTRWWclgFpbm4piLerMrOaV3lbtULBkNI9WxChtXEu9DevhoG+rtDb1xc6ewdljbRd4/zNhoVVRRFbF8NvHs6Fn8pi6/3JlTAtowA5EX3zksdaY8HaBjyuQutHZebXhKE6UBK1IUfUMa92zIkMC1m1WSSBLuHtHhFb+zu0tRds6xbhtUvE13YpytsEkiG6ErYpR+ua1IXHi8qpJH0vpFa2mD/tgTzZ8MMbsjGkVlb+io7w4BdkTLFpQ9KNdGDOY5rEjtd9D27jOvo1cENad2bpJHEJTxoH7TJiaw0SpSEyYmsNglIQblJAOhZb//zP/9yArz8AW6XA9aJMRH949cPwV3/1V+GDDz4wUI5SjGuZOx4SODbE1kScfm/xEp6YmAzXr18Lf/3Xf20f+NzH3H/s/f5N7w+zRcgzI7YepoSztI9KAjwzPEdsKFv8mTuq/HeTz4xIrA+erYdrIrZ+eFdLLsxGBTGwz4BfQkRF0Z4XgGR2VYvIF2aBlFl8+vhBQQqBVasVhA4pkbEYwZK5KJSxzkpcPd57dvVObIVMcffJWoDYOocivJLYKuUx8urREh5RXrKGtA957FmQxyAixNZxiK0ipxixNRlccEjEvYRyH1mi7H/jUkEWzfJasvdkWWz194db2/Jz9vSVfAhWbiip4kdwdnMdg1s9K+IJkQB9fEZsPSGNucdq6LVcM7GVvt8tI9CfgakgLmD5oMssckVc1YOlhOQcjIVlUbAVA9TE24ura2Kr1B708+gfvb+v1IRYz4b8kg0ZgLfmhbsgBUAOwHLFY2ExrFaBJ3DEA4NCHsaaGVbzIY+CJVCkWgCFIV9IACwHCzmAY6lpzL+yLKR7WC4jtu5PsryTfXMdRnoQDwx10p1/f2ItC+IA8kBPiTUulO8M8iMHwkHEg+jBHnmhmIfg0NPTY4QFZOfpOSYlHGQGJyCcBpme9Hsmq9/+JeDPEwYqIMrwTYYFF54p9pk7+RIAw9RCbKUbYmOyt5FSbYJTJGbaSkfCgD3CgGzojiIelHUjdGysgCTMuFdrWfQH6NYgno2NjRmxDFIe9ynv9Xp3YDtInBBap6Unmp4XUVCYDyNUbp20U8TWuKKBTwbDwlOUebX6YfV1VtiPCU2T2iC5riofjZ8bSRYczmQoSB42qUyNB7GV/B+InHpLltNuPBDhT/GWRVoFT9JWrAzA5GtWGCIufk7KZXUiVhr4+OGqVh3QSkVKB5yKRbSXB+PE7a9oAjcT24hXzTHxipWiwMFxBQMRM5TuuIitcyL9Ui/0sVj7ZbWCc33REizfHNSDe/A0Ocir3Pu/+MUvzGorJE1wDRtYh/sfYiobJE+wEPgmjXHAP6TDex6MBZny008/NTzUJyLI5cuXw/DwsJErnVBJHDbypm+AiMlzyPK1bFgq5Rpp7tdiK6RdyKr+bH/lK18xy60QSB0LUx/KALkUIih54igHdYcQC6nXl9X18tPHQTjEGiwOAimYkjr4u4N6QRIFe0I2RUbIgXBgUPIgPa6RL9fAm6+//rqRSB17WgY7/JCOk1Ih57LiKfnRDtTBia3UO92Glcm67GnHDz/80NqGutOWIyMjRrilDyeNjNhaKb2DPfd7LSO2HqxcPTXuYX8PgFEzd7wksDtiq/p4qqefqHOk7RMDRU1xuXewDRgTfOIkVgiu6KKwzAp+iLrHFz0Zhj5UPCn1L+ZksRXd3BrATxWEkIiHQtlfcmKEyuJag6yzajK8cOOsMNG0SKyTIrE+m18JE7LKCrF1aqkUpm0TrhS2XFpdEwaEwKqxN/Uz/qRAqoWsGbfYr+tELiGfKuw6imGCKRIj6gWRPttKSyK2LoazeYitIVzsawwvnR8MgwN9oaO9S31tsz2X/v7zcb54vpnYCqk1p00fmWFaFbsztRA+kpXWX92bCY9ENH02I+UlxF6TjRXuuR+kVBSxtSASbrvkcqZxNZwvrIa+ZpWzdS0M9EoP1NdrxNb2tlZZa2XSM3TU9XA7Iba++9l0eDC9qjLo3hDRF2Jrg0iqVnHkoE3CsDgcRqFoJxIq7cO7aD3XaERYE5d+ZKA1tEtX26n7rksWYju1dYlUGzdZdhXJFaJrZ7OsuUonbgRXsGyQ1Vi1C99TpAvBVQUwgirtxzH+ypEC6I/y0U7kHON4+ahjJbFVgeybnr3VK9lnxFYkUueOBsuIrbU1kj08erH88R//cfibv/kbm+lGTPwrnT8IfGz8/d//ffjWt75l4B9/PhYyd7wkcNyIrUjX70GOuef4mH/33XfDN77xjfDtb3/bPlgJw2YdgO5jPyfOYTjyyYithyHZLM2jlgDPCs8VG8odzuvVQWy9L2JrtNgqgG/E1lheFMB8/GA9IFqP2LB41SMS65CsiGFJDCsSbqWVetLtec9XpQvctShQNkHIePz4cUABySx6Zk7XA4kPi60ZsXXXTbplBAYrtiO2NmoECDIK99uwyKxfuSTFvwYMRs7oRj0hjveFK9m57/lg8nPeJ/SVrnxHGYzi1TfOuZa5TAKZBI5GAjyTPJ9YPmGQiGMGPxgk5nnMlMZH0w4vMhc+3Veko3uq5USv3S+F7/9qxSZmVJYJPITCDUxFP+YWWiEu0KcNamkqtjOayR+Vy1p2Sa9zXumGqVLYqjLtWs7rldgKRIYMEpcG0144ABRaCZ2RH2MwhWSSFefEg9z6RAP5D0RqBZOxB9tCbk07i684KPfZ7Ps2HUDHbp2VspB2ZRkqgh/KaUZs3Z9Y+WZgAzvxfuYdjAUF3sunBSN5v8QA/fXr142EwXfT7/zO7xiJCXlw/xMO8gHb6OiofbcSjmVYIQUQDrIC/Zp/i0HoIB7kBMgMWT+3v/s1i31yJIDeJ7PYenLacy81ATfsRGwVDDFdGcRCI2Im1vptgpMIBlhmHRIWHNJy9GfYCxM2GRZk8DXiQfZ7dby/eZ8fR2IrqA68vSxyAiTUiTkRFDQRCbzHGD6T8MHMEDKYxAQhuEMk12YxVJlIBoasdKQJMXRKaT2TxX/SXVF64EH0TkYMVVq9smDWp4nVkE/B8uDEGRFbH06WwqdObFU6WGMFO0JGvSAy6SvSU335QiS2tskPIuqcMOojCLGaHH/jflHEViZliWSg/CyeCLGviQz79hcKWmVAeYt0UumiLCJ5FSLrmLb7Wr2AdKYkE8i+auqE2IoV2Hx4aUBWwkSoQC58h+znPqosz3E49/EsyJ9Xr141giZkUp4J8Azf7hA7X3nlFSN24lfNER6MCcETYitpQbDEQSRFVw2RE+InGMnHBMgLXQHL3ZPG4KCILdqwZIqOG8um+yG2Qga8cuWKWaMF00HwpC7nz5+3PCgPOkPKRPmZ1HRXFlXJk2PKRFgszmKp1MnuPq4B/oO0CoEUDEkdwYuU33ElcgBTkiZ7ZORWWV999VWTM3WFUHvz5k3Ll7SwjorcLl26ZHLDbyfnfa4TdNnzXgO/joyM2EbZdkqLdMC5lId7gzQ4h2xLmUjPrftmxNadWmV/1/0ZzYit+5PjVrF5FjJi61bSqX9/iK1M4v7o3mr4WLiDYyzMb+V4jTKmS3/PqlBm1V4GdyCvgmcYxwVvYtEdfST+6B7BPv4GruFVvFX2B+ZvZEMBK7OyqX3eCqV6Q5zUsVlvFekUG5tRfweXJU6CWhZmnBMBdEqTl54KGz2eXQ2jImQ+mVkOY3MrYWZZq27KguuysBkTmrSzSWdgxsL6ashjndXyFu5bj4RaLJ7GPy4hqUg+RYEJYdJWg1KYvI4Laysij86H/rAgYut8uNAji639hXDh/JkwNDigvqVb/XKLPZf+/qsktq7JYitWWNcbRCDNMVFDuEKZPF1YDTceT4UP70+HD0RsnV4SnhXRNJJaVZgtHGXXlJ7Qorp1C+yeKchia5MstbaV4gqsPZ024aSzp084oFV9ciE06h6Svdxw+5lbbBWxVbhzuijjOvJvtPpCckUGykH9qpGRIZDSGAoDsXRdeZrsEJIRW6UYVxvSpBBksf7ayMY3kgB9a3NLaGttkRXXJm3NYUj7Aay5tongKiZsh0jazflVbRBbZQVWCcn+KtmZorjBbgiyoJ2UM3KE3Kry4mN5xyOLYmWlDXUWyxvlSHw26oZjD45iDxYCL4GDnKNgMtC1mK/nb1EP7Cez2FqDKGmIjNhag6CSIH7D/tmf/Vn4y7/8yzA8PGxX3B954viY+d73vhf+4i/+woA+Nz5gGudh7CT7ORYSOI7E1krB+n3HxyyzJ//pn/4pvPPOO/bRyocnzsNUxj2oc56TjNh6UNLM0nmREuBZcQUQz9RhPzv7qSuD/5+Pr4cbD9f0gSTAr6Xf55fjoD/ki7JlVn3oYJXVLUd0yVoECniux5l88YNpP2XZKq4PpmbE1q0kVD/+9nGQKk5EPSmPHQ63I7aSNh/ZWLfrh9iqJdouy5LFK+fiUm07JF33l3lP8L5AkeqKb5TBDJLyDNAXcx3MiEIKxTQKahStEAywcIACno8q/xj2Sle+k3g/uVKLveNUD5/tMwlkEqhNAv7MZsTW2uR1EkPxCV9JbH00IU91WmYhQf0WexTFbcmSpmAptl71ZfE4WpdiQBtcFYmvzDg3fduBiK0eia2oRtA3QkrAQhbKeTYjmEbVSLnuEBJQcmJ5CvIn5AL8kD/EhnEREm6LJHBPA/tjWNCXtSrSTjt9aprq0vfpaxwTnDL5vvJ6tXOwSa2uojhVo+2K2Hq3KGtfWD7YvUMGLDN3sT8XvjbSFF4T8QLiA/fecXVgHQakGXiHOAB2gpjJ4D4D6+AjcNNhu/Q3IH0EGAusdVQkUHAkmBGrZKwIhRwgT/ze7/2eERaQAWWibOh92CAqUG6IHRALsKzlZGDeHciV7zCIFyjyuc5gPzIFj2Yuk8BplwDPT0ZsPd13AZijktgKgRF/s8ya4Jhm07HJIpawDKvQ9CZ4sFfHWNDCP+rZ4h6sAx48CMd7nz6Bd7pbdTwuFlvBUJBOIW06CRUSp09kQkTICnzYKiyD1dZOs9Iv68kidTSJRIwlp7QsSXNRuHN6wS22YgE2TrICc6LnhCQLCYT2KajtWHkB7Dkry15jmlh1axSLrdLf6HxxRQmqIFjevTQYVxV65Wze0mhRWiWxJrhHIKAyGYt4cbWBNSMwU+aX+hvDq+cbw/8abhTpRHF1T7ijvGDkVVnZou7IgW+OURFsOfaJXRBoCRsJ0zlZgc2HSxBbRbalHqeR2OoyvHHjhpE/IXXy/Q5hE5wI9oHIODw8bLq1rfAiWBOMhb4O8iaWPsGcPFOk4xt6OfARzxx5MA5MHMifpA2BFGIo+BTcBplvP8RW0qVukEbv379vmJOyYH2VjWP0hegNwYC8ByDAQtYkPOWnXFiqBTO6XpHyUz7wH3UAY4P9eG9AgKUOEDoIg+6StCD8Uh/8wIvIlrDgSvyQG9iTNiBf0hoZGTEyKWV0oqy3WbU96fAOo/zUmf6XstJ+EJSRK2nt5GhPNsr80UcfmUyoJ+X2jUlfyAaLsJSZSWPUFX/yeuutt4zc4pZrd8ozu15dAt4WGbG1unz26+vfo3yTMl6QueMlAXADE7ivQmyV/ocVi5zYqle66bjUtLYiEfsm6SDp67HK2iudD5Nk0D2CAdCnRb1jXBWKcE3aFEX9Q33JBSwDHbFoJEnVT+dGY9W5DLIaGXUVy6yJdVbIrOA4rLNOyTrr2NxqeGpb0Sy0TovkOi+y64KYrEsagFwRXlozm59RDxgJliKRimCJJVKeFOy2QmxFPUme7CmXSR1ya0JwNU9FgFyaW1sNTaXF0LY6a8TWM42L4UIvOKw5XLxwNgyp32tv7wzN2xFbVVOzGassGkTKhDULmXdxLRceicl69cFk+EjE1o8+nw6Lpbxsl6rh1Z956ayIz/2gI10NbaKqDihNLLYOQWztzGuVgELo7e4UDugKnV3d6rObhWNkrEMTxGAG3RGx9dqj2fCL21MitsrSbVFWV1VGZJQzBW7Uv/Iuh4hMOyGtWAuVizZUDOq0JpLuuqzvGhNY9TILuchbBFfuwZz80J0VtLUK13fo/uySLr2nVasZtDeHvs4WYfOWMMBkNvk3S+HOhEHGjCEm890F6RZrruRPOdaUP7nzXaYs7HuA92L5nhe4N3JyhQwJ44664TJiq0ukjvc0VkZs3V0DxQeiIfzRH/2RLe/OjD0eRHuo9YCgNP7TP/1Tmw3mhFYHFITxB2R3uWahX6QETgKxNS0/vwf5MMSa8D/+4z/ahzofyk5yTYc/qGOenYzYelDSzNJ5kRLw9z0DHChX/Jl6kWXaKu9IbF0LnzxaC9cfCOCL1ApBQ5OyEkVoELjFKmvcBnTMhxFKXrDdBrzbKof9+6N0Y1A1I7buX5aHlYLdB+n7AY+I922XYP8ds9+K2Eoi3G9uOYP78GURWyFinARiK+8INu51FHkox7nf2VC444/yljD0lSijnNiK0hlFNUumudKaa65Y9bRRqJMOe/pylLNsKI5JL3OZBDIJ7F4CPtiTEVt3L7uTEoPBbSe2Xsdi6wcrGmBm1ni0ds9gOpgKS009UiKzrCgWuLDOyh5MhWKZ/u0wxxjqkdiKUpFBfkiokFMnNCg/ORctJjAon3Z0U5CDsYDFQD8yg7wANmD5VwgFd55oSS4RBSAJsJxsUW1TK/5I51XLMTAHEGz7WiIkYajVdmXaidgKIeKuyLs3tXztVYitsthBetulWa14yO0kElsZLHeLSgzCg3EYTIes4BOAqsnjoPzAXPQLYC0U3jx34DHKcVQkUPAieO8nP/lJ+PnPf27HDPD/4R/+YRgeHjZiAViSckIGuH37tg3o892KdauRkRGTF+VFj4lOCLkSFgICOPXNN980C1sQICAqZC6TwGmXQEZsPe13gIZM1Rc7sfXdm0Xp10q2xDxESLPWLzzYpg38gtVMdGxmnVV4EEutEA4gF0CoPCzHe5/+gXf5sSS2itC5hMVW4UWsq06JkIoFV8NBidDAN5AzmAwNsRUSB1Zc22W91Qa7dVGXDT8SD2Ls3HK0dAp2XBI5ldUAaAfaCytmtlSv9liFBavT1hBiCX9b2POmSCYQTedFmOA64Uc0WejlQU0aEqkU3SnW0rD0SjwmYzER6xNhOMgpfDdAeKa8EFC/qInbl6XnouztKruyM90a+ULsnZVxgieaxEVcMC/xkYsTWpEBm91rKjckWye2UrbTTGyFnAipEhIo2IZxLvRoLF3vk3bQkbkuLbmtNu1434PzIHmSHuO8bPiBr9DNoaMD+/HMgQfBpOSFng5CJFjLramC28BW4DGIoTybTF7/whe+YOEo106O55p6QdAkHfAnY82kA1YjL7ewCm6jnFhqRe8IvqMelAF/8B/lZ6P86A4he1IPzqkf6UFYJU1kRX7IwCdL4QeJ1i2xoqd0oq/nC5H0roii5Mlkqa9//etGSKW8+LFVc2BtyoSsyI/yI3vKDdEU67BYUdsNPuVegFiM/LD+CtmWMtEGEH1Jz4mtWHeF2Mp3BVZx3377bavrdvdMtXpkfpsl4Hpr7kPuN/op2pXnk3sJnfVW98TmlLKzahJAdsiQzXko1cJlfvUpgcfq8+nvP0r0Pw8htqrf5y0J7kD3iGVWdI9s7SL7gX1M56hVANCf2Wqbwp5gG/BM9TdsfdUf/IOdz1WREgF7RmzVMURIrIjK4KpIqnGTEVZZYdXEo6WGMCbrrE9mNJFiaskstD6bXwmLGuuGBGtdiypfWiMFyVDWQ3k+DGuVVsN6acWstUKMjBZihd9EGlVWoaRwTpVEUg0itYrHylHcdB0Sar60FArFhdC+OhP6GhbDUONyON8na60DrQmxtT90tkFsjeNx/v7j2WSzc8okgieTsigdpFYIplNq93sTS+HK3Ylw7cG0MOiMyiXJ5LUBbLdzJseV0NUgS635ksq1EgYgtvbIMmpPW+jt6gxdner/hR2aWzSuqA+YBgFi5m3dm1gMN0dnwwd3JozYOrkq6q8syprlWuGYNZFbRUsVRo6UVpOUZJFjU/lzlM3+dUX1kpQkNgiu2Fml3GoLyseR6hplql+1E5Zcm5ROh5Y962kTobW7Q6tbtIeLsuI6KAuuLYU4ic1077Lk2qL7vyATsnnLW5Z3IbYKRJtclUUusdoKAZa2N/kK262vUYMoQ8LaNSsLot3wBw/hMoutJob6/KHBMmLr7tuGmx4H8PKlHJAlQBmQDDBLPwy7zyGLUU8SOGnEVmTL/cnGBzsf4D/+8Y/Dv/7rv4b33nuvbKnDwxDeAEASh/O9ONLIiK17kVwWp94k4M8Ozw+KH87r1UFsffBMky5ktfXeOPC8wYgDKNqxHgHhol3GjfjwsWVzRc6wWVD6aEq6ukOvGko6FGUZsfXQRb3rDLgHQDxm/UL3hL4JzIOdfZboR98O9gHBHk92W7mdiK3ce1ieGBDRmoGCL8maxUkgtvKuQDmL8g6siFIYRS3vD5wTUF1ZyjuF54I4KMJRmqNgRrGM9QeUrG6NgbCujIZ8Rx5Yi0BBi8KWbTdK363aLvPPJHAaJcAzyjOYEVtPY+vHOuv1bUtXPZ1mYLsUfvDhamBZUAawwVJMxOgXYQESIaRWLC+lLd1j/YnlR60/pfM8JAeOYgCWe5ZvLu8n6D9e1OQGZIeVBAgKWJtCWY/lKUgGLAeWdsgHYiv9/rDIAmeknO/UYD1+EBAY0Cc+S7reHSsF2oPlZTEesKPbAZuk4xvM0Q9EFTWbDSLYdS7s4PgcgNSQGDTQ98HzEbYltqqeCyK2Us9PRpOl6ESmgMjgaT6fYnUf5HnSiK1gKQadwU8MTjuxFUIAA90QCcBGh+X8+w9FN2RQBsaxhkWe5O347LDy93QPmtgKZuQbDD0mZATeJZcvXzaZoswHo2Yuk8BplwDvH557t8jHoCTfVxBtsu+s03F3oOuA2Eof/fNPijbZZnxmXZhP1uZFJoS8Ci5kg1yIng3yZav0a83StcVl7hN9yiGJDAx4XImtiAS8Az7EwqpbLJ0XKRWVCfJ3XAXGgcQKFofQigVVLJQhbyMPC8NBBMGBn8CRcyKlQhiFnGrEVoVhgByyKeRSVl1A10XawDf0VpBMscp7R7hzXLiTctGOfcL7XzjTKKwarb2iw4J0QvliXuvCqbK+prijwr1gVsKAAV8SsZVJXOe0PDD5i09gFskoJ/lNzgkvixTrllrR53LfgS9Jn/KRF6SVPpGlue/Qm2GtFVILdWlURQh3Gh3vaYijV69eNbwIpkGHxtLzEBmZ4LOThf003gNrkh46PPbo2vjOYnNyCv0DaYKXSJ8Nsh4ETvoIxohJB5ImOBbSJP7gV7d2ulNbgf3AaJTjk08+Md0EaVIGvvVIi4lebBBW+fYjX+pPucGsYD3kgz/Oy0992ejLwLOUnbFuyg9xlrypN4Ral4OHGxkZMflSd0+PPOkrKeddEVvJkzI5CZYyEpatmkOelJG4yIw98oY8C9EUzA+JFpnX6ig/MoAkywQ5ykt6EFupL/XhOnpays03NfXnOpO9KL/ramvNMwu3WQJ+n2XE1s1yOagznpGM2HpQ0jz6dMrE1ntFsxT/SBNa0JnR3zcLP4AX6O99o7/nmPEzCK+2CRMxiYYJ9bodjonDwqZwnoiN64ZzGmzyOhPY54TdpsX0HNMkozFho7HZYpgQJppcbAizYrvOLa5KdyZC6/KqDBGICAtOFMUS4iJU1QZZLmUPsZLRcCNkWh4oEAmjflC//AldiYyp0NrUI+pPPuoXIWvm1SdBbo0i5ViWR9eWQnNJxFZtfbKKOti8Fs72tYSzg+3hwlnhgP4+YT6RR9VX8Vz6+8/7PjsnL/WDeTbyVq6LAryPVM9bTxfDlXsz4daTOU16n49EUIUxR+G2cJBN87Im25tbCS8VRGgVsbVfxNa+vs64QWztaJdRhhb1o4XQiLJafemqZPR4Zkl5zWm1gcnwQIThcWHehVWtVqD7UHxQtZGItyKqlhQWW7cmpYRYSr45tVfOrNvqplUY5I6U42aNY2cRZVMB/OJmbaGfgmTV1FjQ/d4kTC8Ls6350N0iowfN2uu4r71Rm1ZsamsKnbrvdRqac9HohLIjRW3KUelamXSO2CgFFmXXaUsLRdaEjliIvbcRxxmxFSnUuaPBMmLr3hoJwIBDhhynz/3B2FvKWax6k8BJJLYiY793/X7lw5Ml7b773e+Gd9991z7o+FDmI9adh/Xz3ex5RjJi624kloWtVwnwHKBsYUN5vJ/n4rDryKD/k2mW8xKxQFay+CBC+R4V7pFEiIUJlLgvymXE1hcl+e3zBeZA6uCjGEV8JOcA+uNnH0tP2EABsyL1BbmijQEHPRbJZ8Lz6W9LbE0+2FHGY0H4khT0kFq/eLbRLGI8n9rx8OH9QD+KghdF9scff2zKVBSnkE5RqLqVMRSsHh6FH/2yW3RFcYtFLpTWbo3Blbl8dKEgJ/1RkSyIg5LcFeWHSfQ4Hq2QlTKTwN4kkBFb9ya3kxSLPo1BdsiZDGz/4lO9z4WtILBCHByUVVaUyoarNKiuie822HzUsIo+pt6IrWAElpVlKdd748Vw+3Ex3JMMUY5iBbfSMbif7vcHuvKmrEflCNlhTEu0RYJB0axXYUkLAsFWoCOqKpMJOJxsHdSKQpsxxgoRmeXasMTrVq9qwclFgSDuDZZHYyCCewdclHbbEVudRPFYJGAsfV2/XwyfytrXrEgYWABDwU96ghU7OjDcSSS2MhjNoDMD02AkcBO4CMta2woAAEAASURBVEtcTAA6TLwDPqNPQD8ChmOgnSVqwXEMikMGZX/YDkzJt9NBWGxlkJ53BwP+EB6oG2mDHyGAQLyAPJC5TAKnXQLofTJi6+m+C+h/IRg+FtngN5+XZFFTA74JHuwTmdVJBlhmpa+HhFALdjhIqR53YisyhsCJXLHUj9VWyKhurbTSUj+ED/RUHQm5FZIqVkwhvEJALfPmlC6kUbZFmf9iiENj5xaGdkJHSjpgJ3dALcoD1gTH8h1AmUgbi7znteQsZFrIJOl2Jg66MV+tgJUKIOmCcTEmMCTLaiwZDCGXeIQHM2KZjfoyEeyeViewPBWXlQ+AuhSNQXtIq3xrMIkOi8DnVI4Lfax2AME3J/yKbjdVEa/QKdlDiAQfgs/Qi6EnY8I3BEVwImRFnI/hbicWx31uXZL0sIBKmuRDv0A6kFbccio4EB0fE4PAT1wDV2HNFeyIzo70wK9OgqV8OznKQp5864GDSQfsBiaEKANmg4zK5sRW4lBG9IqQYsF56AmRD2VicryXH3IsZUbf6BPkwYikTX2JDwYnf+I79qW+6DJJx2VKupQV3aTnSTrIhfLVQmwlDUi0xIeYixzJk0lk1DWd306y4zryp9zUgTRxtBlpkS73BXUkL8IQluvUj3sH0i9lyNzeJcD9yJYRW/cuw+1i+rPMfcrzlrnjJQGIrVhpvyH9D5O4wQM4+nrDONI9YpWVvp7xsqh/lIXeY9zUgjb2TqCfKoqMyYT45WJDmBMemhEOHF/SZHbhrkczwtyzOp7TBA9hwmldW11ZDaVVgTlZ+zSlm/ogSK1YCsUqqOixoXFtRT5YbY2kTKyPIlUjWhpOEn7TuZNWIbbK4GuiaxNZUunkRWJtFKszry3H3iidxVCQjdMWbZ0NIo02rYcB4cH+3rYw0N8ezgxqnK+3R2TMVmHGgvUd/v7j2WSzc8qsBoTYWhBhdFV5zUkh+NnEcrjxeDH8+vM5TepfDI+nF1Vm8AaEze3xXU5lLkiWA/nl8HJB+KdpJfQ2FUPvQE/o7e8JfernO9ta9Y1SEO5tDDkjthZEVs2H6aVieCpy6/1ns+IRLIlMvCz8uiqZo/+WDleiXpblWNm7lWVZyK3IinJBIhaxVcKF2GpSVd34A+N6Oyt4ytFG1hIR3NJ2BNQe35zKg5xsRQzhbie2DojJOiALrlhxZd/X2ijLxTnha8kQ3K9uGmxNKr5BcIXoqhtFhSHf6GgDnGMXP2cPRmIPNkAfBkaiPITFn83j+T6mejC/Kq9yyNy2EkBEGbF1WxFte3GnGze7BbcV37G5eJKJrTSC38cACRz37fXr18O///u/h5/+9KemEOAD3Al8e72vyScjtpqIs59jLgGeAZ4XNn8u6rVK4Pw5gX4GywGJKFQLQu4APo75CNKjWQZ2L6IeAEYGVVEwocBiJjczph00vogyeZ63pVT+TESMu0/WbDkwZAmJAoQJGEZ2Thbu0VJiWOZgObO0ctvTOk576sW9AbkDBTwDBO3JQAH6POoHYYWl4SBPM+DAhhLf5VMNhG9HbNU3gg0UkBfLqWDNAlLrcSe28p7gHkfxjIL9gw8+sPudPpHZ/1gdQImcVpbyjiEOBAOIEyiFUaLzQYWyeWRkxEgHrrR2RblbgkUhiwLWN9L3vr6W+7Cyn99NXE/f06iM6/4ervK6+/vew7P3sL73MLvd15JmOr/dpF9L2rtJLwv7YiVAH8+AUWax9cW2w4vMnc8jBtIZzGZwGgtKWLg/q4FpBrPRBTbZBJA4EYT+kT70qN1JILYiO5T0DNB/+WK0PoVVLAbxwRTTIgY8s+Vdi4Hl2R6LVCIDDVFbWiFwxyDszQIYOm/1I+A3v1YRxbANuIcJNmA6Vjbo097xcmX4yvNFYSKILpRxeiFO+AErkae77Yit4HTKOiPrCAxm3JLVVjDoA1mHeyorwaQPyZp7MpWkJ71pzz2YEVujSLbqz72/dsHthC0IT38AIYHBdsi16EwgADAw/tWvfrU82O5p7rSvLAPhdyrHQRJbUdKDU/n+AneSNudgUkgXfIuxbee8Duy97L7fLl6t1zx9D39QaXu6B1luT5OyHkQ50+kddP09vWxfmwR4LjJia22yOqmh6KMhtmK186kmjqPXgOTYIaPWHSKyQqT0icAsfcmr86jh4HEntnLvgJnQJ0H2RL80I/wN/gMDMXGIpUZpCxzydbIn+A3CKWRTCK6QQRgQj/pOBqIjDjQMpWNwEltcpjTqtyzR1A/ZoE9dZhK3ygMGcx0Z5FLy5DztiENe4D/Hn+zJi3uC+4SJ42Beu65rU/Oy8Crrv5+OiswnK6/Ul7qiWyMt0mRyOasYMOGqV9gUfdn5Xm3CzOBV6sx1wp1mx7ua54DvIiefQtAE17D3ieG1yoh+GGzk2Is0wUxsHEMig8BK2ux9Ix9wABtlYiM8G+UDW6Xj1VIe0iBfiKbo/9hIizKiF0RXyOZ5kybXCEP5PX8vO7iP8nsdKA+40Ovi5ff4hCcu5x7G65AuP3lSVsKTJ3FwxCF98OVOGCkdnzQI7/FJY6f46fJwTHrehpQLR70pC+kis7RcqKPLhXunHsYmrNDH+If7gi0jth5OI/JM+PO807fb4ZQgS3U/EkCH9FD9P2OQTGwBY2KNHp0jk72ZRN8q8l6zsIfrHsEgavZj5wwnqdR6HdhkpmWBugXhnVlNPIK4+nBqJdyf0DYlUueMyJXC3gvCYitinZYErtZKRS1fr34UMqXq36D+dE1ESFFZw8q6rKPqfQ/htWldfRyWYCUk8gQ7Co0l1k/zkp30HEhP6RCH8uiXkEbUbFSKBcWHKNpUWpaFVm0NxdCSL9lqDFgM7ZG1/14tzdArC6IdXa2ho7tNkz26Q6f65NZGYQJZH+W59Pdf7EvIVe9DlX0NHKmyi2Iqa6iSgYDm9SeL4aNHCyK2LoZHspw6Nb+k8KqzrKNCbOVvK5dX2VtU96HcYng5PxcGW0S8bRVBc1AGdfp7Q6/GBjta1A9LwdkoFmiDyhYKuqnyBcXMScZMtCqpHVbDxMKKdJsLto2Oz4Xx2eUwv5YP86UG2wSLzcpsjnJBulX8BpGH1SJUT5t+tEF+tXMKXS46cfhWUhuoDLRFUW3LZK6i2iKfk0S0QfZVCvreku5dRW3LlUJ7fj10Ct+f7e7Qpgko/W16PppCl3B/mzByi8I2JZiZewQLu7YpHe4EihbLZUdWhugVz2krcAL7jNiKZOrU0UAZsXV/jeNgGlnyMAKW3XEN/8wdbwmcVGIrrcL9WXmf+jnXUN5+61vfCt/73vdsViikGT6ePa4d1PhDuhmxtUZhZcHqWgI8G7zr2VB41PN7ni4JxTDPX1TqVlfavkiBAxhPC7FVzWCujOUPWfARsG98Q9SaHd82KN1Z1sSXdsOqhFke0XcKH4/cW1hpZZCBJdKwRAHJNVoV08dC6tvF892K2Io8BKGMJNQpQgnEFpZT+8IxJ7bybuAdgfKOCSIsa3XlyhX7sIW8/fWvf92sjLminefUHfHob+l3WYKLJWLxQ1kN+dutTqBM9ufnrkiwLNHrxFbCsaWtKKTz8LzSe3+v+bvN3h26IXwQYKf4pOXvSI4J71tl2nzgg53ZV6braVAONuK6os7jkf5uHGl6m3j9PH/7oFZZPAx7nJe9snyV+Xo8FOaUlXNPu1r9KuNn5/UpAe4T2jQjttZn+xxFqXgVMDjNoDYWoxa1eiOWPCE80m/VizsJxFZ6QJaR7ReZ9bKIrSNDjWaJCj+WnAVvzInggLJ/TETPcW3gkOR1vdEUajPe4IK/1nYQBMAoWInFqupz4RWWvCGwgnsg054TUYAlZiEOOAFhI4PqRyxze/uJlg97pslQKiP3i0/28RjbEVspF33Hssq5qKV3R2UVDoID1lux4AG51S2XcU+inN/KASdOM7HV+2Tkw3FlX+54hEFsv+YYw8/TsiUN4tAfpJeChdiKBSosSL311ltmhYp4pAEG2M6RnpeDPXG2K4On5QPzB2GxlQF96oZzmbGn7NXk4GXwvcvFsZrXuxKnpfPwdNlv57w8pE07OU7ztLeLn87Pj71O5Imf9+/sueayT4fbrnzpa6SXbkuukV6aXJIOX8uxp0f5SJ/6pstYSxpZmIOTAO2REVsPTp7HMSU9hgkWlPVP9e9YxYTcCLmVCU/14HhfoFtjQi36ACbE0kehP4C8dVwc+AbLrZBbIRNDbgX/YAUV3OfYjzbB0Z0w0A+ZlclJ6K+wcMYx7QP5gy55t5xP0mdym+cp8Vo6pAdp1vHhDt1ZLGTy62lCWp2lbguaqDWpiXOy1HpfE5mY2JSuH2lTbuqBPg5SK/j0rEitQ7ZiRNTRUZ7t+sVNhchO9iyBdH8PHgMz0Nc7djiKNkhjGPomnOMD9tuVgbhslN2xleMV6pC5TAKHJQG/9zJi6+FIOPtOOBy5HlWqWIdnlc2nsk4K7mHSDXqjfvX5TNrhmIkru8UxR1X+avnwzKcd9yg9FhhvSRgIsurUYilMSoc2IeuskxyDiURsHZ1aDuOyGDotgqWMhQYFN7BnlkFFVIzWOMFkAECdaSuJ9FnEKiv9ojKRHVKF09iMghiuVBIcR9AY+zuz7iqSbAPKNQiQiotV1oKIpM2yRNrCJjJlmyyztstOaUdhPbQL+7e3NGpSWyF0SzHc1dqk9mkOTdo3ad8qa98tzS0iIDdKh9mo/plxJuVrWUcdC8dWLsOmwhEqv6iUYVKV/fXD+XD14UL46MFSeDq7ImupUkCrPDmRbJ3Wqp6c1JQGFVJanCmTgurQvb4UhhoWw4X8vKyaruse0gQoiK0Dslovwm07xFaVKa/yQSqV2VZZjhV2AAMkbbS0qvFdEVwn5lc0aX9ZOHVR+5Uwo++fGZVxUtZd56S0nJeCtSii8aoEjD1bpCetlgok3QUbJYNcaiWM+MMKTHmVX07kWsdPkJYhtbJvMH+RlXWOcQIMHeRFnsWCbkFEWrae9lZN7GoN/d0toa9d5GI9I91qF9qEfadIx22N66FJYSlVTvHj85M0BmVQfR0z+f3KnglE7BlL5RuKCTVeTvzZPJ7vvV4Hsc8sttYgRRoBYusPfvADm0VFFPwyt3cJcDNnMty7/OolZrod08TWeinfUZXD72Usxb3//vvh29/+dvj1r39txBkG+Sudh6/05xyZZsTWapLJ/I6bBLjPAcpsPthUz3Wwbl24MsLd+ivpaSG26hWo92Bsh6P4GKXd2fhwtHugxqanjJBaGRhgmTSU531aUi8q7mMF9Bs/S5I8sGQ3lVgYm5bFCSxaVCOPbElsVYIQSiDOYrEVUgvE1pEzx9tiK+8KLAwwEMqSVlj3unnzps36c+teEFT9A6myiVA2s9wXFlshxZIOfsPDw0ZsZbCKjyyUg1g8hgBLPgxkjYyM2IZFWD7GyMM3+uOtHOm7NQfebyi63XrDTopy0vT3o78bPU/2rkDnI5H351ZWF0iDzcvCO4JjLwdEDCfablWPav7k6YQQ9myeJulRv3T5kVO6/NXSdD8vL3UjXervaVNP0s7c8ZMA7Uh7ZsTW49d2B11i+lH9W3/KGxS9Xz25k0BsRZ50T+CAV89v9P9YwgcfoG+GCMByrQtS+DOZBmtXtEva0VY4iKyQYT9/WjRyKOEho3hbxlDxF1zWLFIApNYLTKwR/sAKFkvG1trUU7LSev3+argjcivkBJbShRDt5SGn7YitXh7Co3yH3MrEoQfjcUm6T2XBFSu1kB6QA5iqsu6eBnI8rcRWxxD+rcY5fXkaw/Bup78GP9HXcw1sQb/t4RwrOS4gPfCRE1vBdDdu3LClbVla9e233y4TW0ljJ5xC3wK2cYxDHPAC5eCYMldzxCPOQRJb07Kivp4/MnA5VCtLGlchT683yn/qT1xvD987rtopbcJTV9Jlohdp0z7IiI10tiobcSkb7eyO+Gx+jbb0tB2vefo7lc3TZE965OP3FGXGIQMw+lbtaIG2+PG6+/1BmsgzfX9sVfctksy89ykB7qeM2LpPIZ6A6Hrcy1iQ6tDX6t/29VA93kP0D8ed2IoskTVYiAlCS9ItYSmXSUoQXMGAEF+5Tjh3tAeT+SGAQm7tkS7Lrbeiy9J/zW1lba20bVKVSBdzypfjJhFM0ZORLhPd0JuRby3O6iQsC6EDTPrElh5mdShNitKKEBBaIdJ6nUgXfIol1q72fMR1WtUIS61ne/KqJxbclL8yr7UMtZQzC7OzBOin3b2o/jhdBsqym3LsJ67XO9tnEtiNBLjn2DJi626kVntYnn//1tnLt0ftOWUhD0MCTORhJSKwDW3JhCnwDJOoUAkcxRjiQdaLLlIozZ55g0iqB/Vi4rkMs4rIuh7GNHZ469lKuDu5GkZFmnw2tyrdl8iSIrMuyGy9kzaxBmrASARUnJJR2oZ87MTSV4ZY5ZQ5V11UXrBGRSoVQ1KEyzjhXbZbjUxqRkWtbBBaRRjV1qi4eb63S6uhZX01tIrI2iFSZIfaQcZYQ4/wVq+2rrZG4ctGrWjZHDeRRFtlRrdZuokGzcRv0MBm3qy0anxJllij3sPHgqIMVCirB0WkLMgFjeO82n5c9f/l53PhQxFbb4wuCftCHKVemowtS6zcB5BETbbIU3mARpBHTtdb1lbCmfU5s9g6kF8WbmyU4aDmMDDUH3r7ekOnSLdtKnOz9ApxDKxRMoH+q1T1rYuL8lWWOlheE+G2lBOZtSHMqM1mFpbDxOyiCNjzMjawIGMDCxoLXgmzIrsurBdEzoUWTKViC1E6s+jKyLQIrutJG67TRg3oiiQjE0fsHxTCiKwUAiuuottGXSyVLF/TCfeEwvBsYAChTVZae2XSdaCjOQx1toYL3c3hfGchDOpboEvtV5CVV8ixjDtTP2RI+sieDce3Po5+im8p9oyltktm6Ih2eq96OpbIPn8yYus2AqRhEDZ7J7bSYJnLJJBJ4HkJnGZiq0uDdwUO5f/PfvYzG0h57733jOzK4I4r8AnjYTlOO945GbE1LZHs+LhKgHscwOMDZlvd88e1fkddbvCHW5xkAA8Lk1izBDQeJDDcS71YBoRlYO8+kfUtKZ7npIB261tAX/Bvs5FA9aHDTMo2PnT0SRJx8aYsAdAFhW1ij1b9kB2KfpTjLJmWXsZsp2z5MGiTgpx6QIro1oAAJBNmQm5VapT88yJgYD2NWaYLOl7Vh7kNNqQyrEZsxcIr8kI+DBKwlB+EWoglJ4nYiiVVSBAff/yxEVux7vW1r30tjIyM2H1e7V7nHYPiD1Id8Vn+lueF54MNxRXPzPj4uA1gMYjFoOvc3Jxd7+/vNysthGUJDT+PH9dqaDniQxggbeITlzzp1xkcIywfcViV7dKyJaTDxsdd5TPKu5C4lGF0dNTSJhzlpH6kzbMOliBNtyKDJRkceRJ/dna2XBbCU0bKkh7UpyzEY08epF9NhpSJfEkTvELZyIM0kS8kAcgHpMEGCYE8mdBDnfmQZZlh8qnMg7RJF9mRNseeNuUlberZ2dlp8WkHlomDtFKtrCaE7KeuJEA7cl9mxNa6apasMFUkwHuLiRDcs7xfeHfx7uH9xjv4RTiIqEx0wcLqPZEzbwtP3RuTNXL5QTrdyrHM6rm+XBgebAyvnBO5tFtWBoSxpH/k33CYHkvDNijH8Us7vZptUAAShOWtPO+J3Cqdq5UHbJJ2YDmICWCdCyKzXhrMh+EhlnwTMUJYaCvsk06DYyxtXLsf6wmxFdLCXoitni54c0UDHBA5xqYjWfb++JpZb52U34zqB65KkyA8LnU6jcRW+lj6d/p9f2/TL9OP9/X1WR/NOf022Ac8ggPP0P/T14OVHOfwLIEVwEf/P3t3EmRXcp2HP2segMI8dLPZzQJpziJFkaJoyl7YEfLaDjushcN2hL2TF/bCK9sRFh0ObxzhaWcvvfbS3tiy5L8kSxaH5qgmRVHdbDZ7QjdmoICa6//98lYCD6UCujEUugBkAln3vXvznnvy5H15vzz55bkybGDrfNjLQqJ2ngVLzvWbO3XqVHnhhRdukjtdgxxkSro1GXADXOc5Qwe4gTy/3Ya31GkUbynrnIdBbIVR2AE2Yi/2IB8+YzN4hU6jSR/Dxuqvz1EH/Y+6sRespg4yHGWf8uQ6F3bTFu1tBTtlk9PsTDb91JcN9GV0gtcatmWrYWJm6Odcgz5wmbcluDYdtAmbku2Y+4Bcx53PFtqfXO3I7vY5d2dqbUA/stwP5NHd9SXnqiM5dGwyR9tyVK7z6DMqk1z6Oea8JrPdG/p58nvaewv4/fqdtHtSe2jfdp/vvQb9Ct0C722B1o94xjzOEVtbTcG1/PRqJCg+o+shmFrwg9zK/wRjeW1p9TltYztdNkwHS8J1fEtIqAigXk+KKCLv0rW3y2ZOI9gqXTmiyTuJnvZ6IvGL/r+U609G9qH4/D4cvAgnIs9W0uzgWrkpY/RDw6Wwr0VPcN25q1tZrLSe6Pwb5Xx8aJezOGq0HnQkt0WghYVPZ7HV6RBavTUCcVc9+dB66hboFugW2O8W4Dtt/mL41nMKbn7mmWcqTm4+4/1ej/2qn/EKG8owak+PlwX4zeAZaSwTZMh6d8Mp+712ajK8gr6Bs1qxAc8Fu70e39ZPL66X74W8+cr5lZAmMxcUcuRKJjDXAsDW4uByT7MBEiJgVuVtVxwp0cFKTqz7UgZgTFZumIsU1zVn5/dQt1SohEtl4xgMibWsL5fJkEanExF1LuTLAzl+KITWw8GQh4MdD81lEVHyggigIU7OZzsf1vFM8mzG+rPTFtxm8Wl8Cfnh1bZDpq3RSHPtgTzp9zg6X7XtW7BxyHmpy7kQR9+4uhZi69Xyg0RtfeWdLMJOVFRj0LEQQsdDvr2pf+ijGzlnI+RQBFkJQffg5nJ5fuxqOTW5Uo5Mxe+yMFtOHJmL/yVziEcyjzc/m2iyiS4bfYe+IucPFq42HiTl77ZMJFVRcJc3JrIoKxFx0zbXA2avLa8O0VyX1hJ1d71cCAH3nUTYvRRS8rVEmF3VjvFfiLZa74Dt9mpkZe3pEqK6IrxK25esn+tuZUJ8Zc8hDbLI20Js3U7uD3h5Nj+ag4lUcCirzp4PTn4+GP3DB0o5nnacz/45OccmA7CVH40W69nUfDjENh9hJ7Y2K++jrcbyg7H963/9r5f/+T//ZwUT+0jFrkq3wL6xADLm1772tSLq2dOa9BUttf7j5ZdfLv/tv/23GqnkxRdfrFHoWrm2befY6nM6sXXUIv3z42oB9zdgKQM+u93vj2vdPgi9TeKZgBRx0uTdk0hsTfdXHc9ecYu82SIr7KW9DYwRcZFMOf59H+nKd700PZFMETmQSznPvcbtvSJRcPyvZhD+bsgr568OZAtR0aw2vfX0GCYIzl3dKO8k4tgbiUrBgW+SguNeJIoW/cKrVkRKe1KIrRx3LWKr6F4muEX3Qmx1v3M87eZ80reYPG+EJVsDrIbh26SViK6IEsq2vom8RgQ1mY5IC8fIjQCgLJnICYizr776anUwmrR1rPVtSA2IBJyO9P7IRz5SSQ8m2A2GW3IOwgBZ3/ve9+okv2u7ntSIHByYJuU/+clP1sizi4uLVXfkBSSEN998s7z22muVMIEoQK6k3q1eSBfORyShV6tTLbj9x3n6aH0LmSLakq892EpynnogMsjIFkgKIuT6jJjyqU99qtrPtekgkU0GuexPX3Vv7aCMsmxnMExH0XltyWW3JkvZnvanBdw/2rkRpHxGZEDMce/s9rvdnzXpWj3pFmjPCfesvuVxJraapBfZFMn0k89N1gjuHzpqkgYZgQ8reEaDtu2Oxq2E2jjD3w5ZwOKkn4Vk+kZICQgKFvuMYiFdul4dcQBR4GPPTJaPhFD74ePDK2zhn9Fr3Ty37rz9whdDNP0hYmsWRb3+ABFbm9RWT5MciBDw1WuRK3Lr6+fXa/0SNKFGMvOY5MBvSb2eRmIrwqPfAkLPT37yk/qM9vnjH/94OXPmTN3vWQ33KKdPb1gHQQ1m8ax+/vnnKxFSP+84fCTzf3geNAzgfM8Bz/RGOoTx4IavfOUrFTs5ToYxDnwFN7zyyitVF7LIaDjH9TxjkDAb3nr22Wer7Ia3lDd2ehjEVtfb+WYAGO0XfuEXah1gNfqMJjhUPbyBgE1GbanvkdlA1g/RG74jl+6f+MQnqo0buZVs9pHJhtGabPZxLvs4TjbiML0WFxcrNmMn7W6/xM50ottLL71U29l5n/70pwtbWmAGt6mDsuRK2gmZF66kI5ypDjvxmvJ0ghUb/nOPwbijfgG2lcl0XTJ3tmW9cP6QqU3JsDAMXiVT/UdljuJx9yg8TuZOHZvcvn14FnAPdmLrw7Nnl7Q3FtBftL5EH9IWkXq+7VyksDcaPHypemjdNL/SesgQ10SMCrHV24K8rhe2E70fDmowKF1+9WlZVI7cegg5If6tBX6trNWwP3Paeabsri88tRJf1tUQWV9+e6P8cbDdxWAwbykyv+7VwJ8KPv1IFkI9d3yyRm4lc7dEVpUXPRFjL0SO6Puvn49PLL4zvrG1uCVgV4lOMvzJZ3jiUHxyh4e3GYnSeiR+stnst1D+TvoPkvrfboFugW6B/WMBWFduCwxh3k5sfXjtY6xjPCB3H+XDs+ujkgTnjKbH/fleq1MJi9vgJh43pMYasT4hW//03Fp56exq+Xqik758fnijXw3qud1PjJpDvyHd2hq3Dz4H93pmaW4eN17bqDnET7JyZDyRW/0+RL+diE6is45tZNFsSK1j6zfK1NZKmR3LHJWon5mYPDE3VU7M59X2C1n0enC6HDyQxaohtM6GzDqQWEOONM7Pb20yjsv6m8ukpmsEweWa29rXDT0RMwd9bWvCRvU/h7YA0pz/8ysJrHRhrXzrZ1cTrXWpvH4h838hkZI4nrqMR16Lfro1NhBb10JslfA8J0PWPbR1o3x0IhFbp9bKQuaeTxyeLyePHizHj2bx7qGDqUdIrQHCk4kqi9g56FZF7PpHFVBQkVujQbBnFI7SIrxeCzf4SrDy5fgj30203Z+9Ez/GhSyWvpzAMjdWKvl1ZTMLnFNXBNzN8amQjBFVXSpSEYtDKhYpFsF1InJjpfpPO9ac8pvIrSaq75hYfLi/QPGplH1+bqN85MBmWTy4VZ4JZl84MJs3H8yVw4nmOpP6T6edW3+p3dxb/FRDG95ObDWG4mdyrGWqtPuxqdXObd8fZNsjtt7FegzP2La//uu/Xv77f//vN4mtOxvlLmL6oW6Bp8ICf//v//3yL//lv6zkk6eiwrtUcrd+wQNGMnHwf/7P/yn/+3//70py/eEPf1gnJNo5bavP6cTWXYzbdz12FnBPN5A1Otn02FVknyj8NBBbYfC5DCqOxKF+OFmUh3SJNe9VM3CQi+g1vLLNa2tvJz3sdl06ZVxY9fQ63vqKs+htNdvdEke8yQbE1nNx1rvmQKblvLp1JgLsbsRWJBbO+4w1KpEWoeVJILaqucER553JJWTJ73znOxWDmyz/7Gc/W8kWCJUGSwblOwdD+hoT7ybRbfU5bZ9JdZPeyJqICSZckQI4CA28TPSbUJcR8Ux+IwAYwJHBmUgvpFtEDzLo0CbOlWsTZH6nvpNr0l82qd4m/dWVTPKQPNWTbspXZ4MbK0n9yFHnM2fOVH1MuqkLHdpkPsKJ8xAqkEXopF6NTEAGwsTi4mIl6yI5qK/9zYZIC+pEH+QDn9mn1YNsZfXpza50dG22QSxBGkCGQHAdbR+y2J3tEGcbAZeunByuwWYy2eygHRCMyWQ3bd7T/raAtvMbdi83QrT7phNb93e7PY3a6bf0S+5Z/drjTGz1uJhJlISTmcw/k8ipiKbP59WrJvinB9/tzSYegRh132Ycp6LEXgn5QNTUn7y5Xs4mIgRSKAzSiANNAHyGLHsqpAG446OnJ7MdItZ73WxMWQkTMJTIYCLhGwKPYpsmSwSxl5FaQ1Z4+2JwECJtyo+WhW8QFD4aAu3HP5RXgwVrwYV3Ss5FiEDauB7HsaiwiBCvvTtEcPVZ3RBfXUv92ITeTzOx1fMZ5vL8RyRFooQ7/D488z2j2zPdb6ctSoE1YBIYZzH4QgRPz2ry5IYlnOOZAHd55rfFP67hGQEfWXwDE0iwB5wD49CHLJiJHs4lw7MGzlHWd7gB9oAbYDc4R1IOtngYxFbXh3csSEImVR+yP//5z5fPfOYztR9RH4ndZHVAzGULz0b1YDd2aviHnWXHYNfROiH9WtSlTZzTMJhy5P70pz+9iavIZQc2Iq/hYZ+d2yLjajMYS33Yh3+KnD/+4z+udneesvpFujifbMnnRli0Txn6aUNy1b+1I9nwHvnqrx3hXnXQ79KpyWVHZSXnw35kurcadm4YtOFVmJJM8unlHlV/MtWh4WDyYF4y3SPq1iO3VlPv2R/3crtPjEXaGEWbt9/Inl28C+4WeJ8W0G/oe9oYXx9mzDLaN71PUfuqGFyDHyHyEyyWYFCVdHotuOvayuB3sq+SGFI4xSoOMv/OxyR6qwVMFmzbWkztrUt8XMqMJtfKz72+jQi+spjopde8HneIGAtfeaPRx04Pi7DPnJqs5Flk09FEB/gNbuQX4x9Daj0b3FZ9ZonSijhrkbdyspTAXxXvigTLH/esKK2J1mrx1UJ8iOpSI03lcnTpqVugW6Bb4HGwQBtHwMbGUJ5TcK2F/6O4+HGoy37U0ZjCOEiGUXvqFvggLVAhDeAWCmT97ecTYuRAbN0oPzq7Ur7/9nL5xmuJTJqIre7fCmkCnrbhUFXfuTfT9rG6b7t8PQ8eqmfxVbSIrfGLKZ/vYwF1EwFZSK3xKITEGj/C2GaZG0+e3Mxr7LfKgelEaU1EzyMhrx4JsfXwXAitIbfOzSUQyowFzInKmvH45IS5HgEuhqArzZ8Ej42qqra0ku9GbEXY3AwW3QgY/ZO3lyqh9buvXyuvvHujvJtoqGtZla9umeUK8TOy2DS6byU7sh7SJ9LrRMi6M1ur5ejYSlmcWiqnZjazqCsLbI8u1Hxk4UBZODiQOtVjIpOw4zn3vYittyw7tM9EjXg7WHt1UyTX8XJ9Y6wsxe95aWklwYuyADor7y/LIbdeWo6fJVgXARZeX1pLsIE4LNeA3sE82QyyK63VbqZjzJTZzJf6T9k7JiVix9hnMvZEbP3w7Hp5QZ5fLycz7XYw7Xko9T+8MJ8IvPEtzdyat9OGxvmy+0niL5L4hYyh+GOGey26bpe57d5M2ba/nviAfzqx9T0M2Iz/j/7RPyr/9b/+15sN1va/x+n9cLfAE2+B1iH9xm/8Rvln/+yf1UmFJ77S91FBfYbO32TqD37wg/KHf/iH5fd///fL97///ZtOeWLZ8+/8nb9TfvM3f7NOFjT73scl+yndAh+oBdo9777nPO7PzQdrDs53E8RPcsTW4OrqRD++MDilvVIXFr4rNn8ws1Yn+rk4zC+EBIHg2sgYdxNLJz4Q0Vq9Wq0RWw3a7paMOQwaOenfzTU57pEsasRWg5LttCuxNQMc0VqRWES0ba+MezbR2R73iK2qrZ9oE0x/9md/VgmfJrD1HaKCLS4uVsIpwkKbvN7pkNLHtH7H1rmcgIgYJllNgJtY9xviJOQs5Bw0kUW+yX7fXcPATKITcgLSh2ySlmykDFl5E+cm0pvj0dZv1XEkC6SHNunvmU6vRmz99re/XaNOqb96GQwiiJh4R1CgByemrcl5RA960EmdTBK7jjLOpQsdHTPxjyCiDurXonCpr0E6XdQFOYDMVxO1SwQsupCDTMEW6qicOnKsykgarqMu6og0gIDciK3N/uSKBsfmzqMveS0CGT1a+zhOpn3IxSLH2dK3p/1tAfcBIksntu7vduraDYT8J4XYmi68kk0PZwIfFnghpNYXEhULKRS59W5pI1EBEAiG6KaJevDWeo3qJcJXuvuaR88XYQu5QdStj4REuxgS7ckQT+EReuSxUckNooIhyy5VAik/6wi42RYY321569JGxUEIqAi2CRx72zXvldhKtCu53Gacu8sJbABfvXkhUVtD3BXB9c1EwIf1rkW/5VyzkVtPBsc9l8izXzgzXSPfqh9CxOOaPMM9/z1/4SlYCp7wnEYi9fyFJ9qYQmROz3/nwFXKKiPDF57b9sM2fjv6eefa7/nvWQ2DiOLqWvCHcrLnuuc/7EIuTNGe7Z71ruFc8ulNtrLIoz7DL84hG3Ygo+E6x+EHWA7GQmxFBvUZcdRzyfkPi9iqPoit3ijQsNUv/uIvVuzT7OSeaYRa/h5+HnajS8OW6gxj0ZH+za7spi7sqizM5u0B6m4fXMXubCzav0XSrsUm6kwHNrLPJAPMy/7OgSmRRd0DMrwpKYMkS0/1g8GUJYc82BMmNZGhDvCi9qS3Nmsyz5w5U3WGQ+nJ7nCue4p8dSObzCaX3sqqj2vTxWf1JVc0XLhcuYadYVQy3a/aAC6lX6u7erk2Oe3+cF0kWfhUNFjk1j6RXZt/T/74HWtvbcD2bO3+dW/Y9tQtsB8s0J4P+kh9lT70SSC2NttWLBQ8xMeEEAqTwWYwHpxmgc+a6K0VOOWsQB5uLL4s+HE+GTm0ElyRW4OJEF+Vgfkkp8JbVyOPb8sCqZcSsfUaEmrwpST662Jw40dDbv3Ys1MVn5It1UvnTx4tVRdyriS6rDcWWWiF2AojIuVWXfE+6JiMsDqfxxhSq0VQzwQD2548dGtxV/PLNX3rRfufboFugW6BfW4B2FjuxNa9aShjCmMYuY8H9sbGXer7t0BFS0iYIbYaQ8FvW4nIyVd1bTULht6+Ub73ZoitP18qP72wWgmJ7uHRpL+4lQjI/+yLtOweyjoFzXIsRM9K+iwi+gwOON9r3lhPVNYQP3PmgYnNspB8aCoBh0JYPTw/mWj+WaA0F19jSK0LITwiQc7n80yIrpPTiQgbrDgxMbyJBRl0wqTpdmpzT742fdt2qA+fovKNELldx+2IrVsBf2vJK5H53Vcvlu+9drn86M2l8vNLq+VqItuKPtuimSK21lVeqe9WwrfmSCW2Tm6mfol8ejBRZ4+Or5bnp2+UUxmaHknkoJPHDpXTxxIEJuByPoTOqRB060LkRELVTzRia7TbrtGdN0ogB1d75/NGbLERyu168loiunoz1komfZfTvleWV0NsXS3nr2cuZSmLjkPSvXA9825LmcdMFNqlFF4VzTXSKmZ3/dhk+BfhaWL1DpKOXd1HPt8pxR7kxM4CFlRi68xaeX52NQTX1XIiJN/52alKbD1y6EAi8M6F3DosLGeL1obuU5/lTmy9k633yf72I/t3/+7fla997WvVMajhNGJP3QJPuwX8Flr6F//iX5R/8k/+SScgNIPcZatfMSFg0sZEwu/+7u8lmuvv1IkCfUsntt7FeP3QY2MB97n7WeY8bs/Tx6YC+0xRE3VtEtpEnig5JvIGkH2rL/4g1PY6Wa+xffVsHNEhK1xDaIizHL6mmUcFQkR1QIesioTB0c0xPZp8FxkCoZWj2ivE6r8d5UbPedDPGSuE6LBRLsVxfjnOdN+HAcOdJauPMRodvWKtElsT1cLg4G6JXBMA9XVqiK253vshtl65PkSwEIGtEltzLWQSkTSeFGKr/sFkvElQpAZkSAQCk9gmrU3yt8lwE+2yfSZKTXr7Hcitnxntf1rkJuQBk/ImxW1NpCNOIkO0qFjIBibGbeljchZ5AJHUpDsyiMmvNgHm2o2Q4blugoz+5Ov7EAQQSUzSI280ssUosVV513J8cXGx4ij1Q/ognwz1UQ+T+XRxHYn+snPpTZdG+mA7NhSNCzmAbPVU30ZqUBb5RcQ25dUX6cLEPyIA2zdCBR1b/Rqxg167EVvJNantdcTsZ8ALM9J11HbaTJuzneuzCzICUgWbIcCcOXOmnnu331Y/9sFawDPe/aHt/M58dt+YJHbPa+eeugX2gwXgKH2/e1afpK/V37T+84PQEcESuRM2+Nm59fJK8NTP3tmokUxhkrslsEOke9FMTyda1bNHE6kqr5JtxIE7neua8Ifo8XDbWyKnhohAD2nUJRoz1cU0rvGxZ7OYJlG34B7fLbhBSvWKW7LevTJEYbVwh0M+j8E/lzhzvWbW9ZaT6bITd90PsfWm3lGeTDhUdFi6vJHosCLEvhGiKzsjuLr2Wuzr9bXPJfrs005shRf8JuAqhE3PXvgDFhl9VsNnonB6riMhtmjtMINnfxuvIB7CQnALgi3M5vmPsKgsvALjuJ7rem7AInADXCJ5hjgHxvFMgc38dmEG0etHSbMwooVEsAO9Jbo8SmIrTAT7wIsvvfRSQRpmO31Mixja8J06NxIm28Om8KC+SF1Gia3sxD6NLEouG7ENXMWe5CpHB+NE9lGeTN+bDhaLkc+Wo8RW+I4+zeaLwYywI33oCtMqr03hSs9612RvhGL3AszoWtpHneBVmQ1a5FT6akvYQHIfmbx3X7lXXIesL33pSxWvktkwcCuj3e1rxGg4lJ5kspPrwyNs6vruB/UiE7G345Jq+j35o/06sXVPTNuFPkQLeI7o7/R7+sk2NvU88sx7ElK6yIrl1kVuDda5kYl/xFZEUUTX6/me7rKSX5XltMv/kEZFQ+W3a4upLWIKrozfaSqEUrivFswGxoPl+NJeeXuj/Mnr8Z3Ev7WUAE6Gfofjy0NqfSGLoSy84r9qC4ecC6c5n14Wmlv43SLsk+MYEm7DiKLGItgeygIu2A0WPRXs680FsC/5/HHK5bHVU7dAt0C3wGNnAfhW7sTWvWk6YxpjULn7KPfGxl3q+7dA9bmFTIqIaQwF74g7uhx8tLS6UX54djnE1hshtl4vP724OkQjHRGvr5DadvtL5CDJ5hhnYe55mCizZSFB5jXyIXeWjcjKK+4nk2cqmXWrzExsJSprFjaFyLqQyP2Hqo8xREdRPOdnM/8YImv8B7PmqZKH6Kz5LYX8WoFX8OG431cAIKgosmjTa3TbPldd88dvErC8E7EVtzV80HI9kU+vbE6Ub71yrpJbX34nb3y8tpbIpsGjJGxXlw4AKkrrVj6LUJr3u5TpzdUyu7lSjoTUenxipZyejN/jwEQ5HhLnqeOHy6kTmV8MYXc2ZN2JvBZgIn6FiZBAx1KfaFf/NZ3//BaNVdsNZcdDIGZvuYQcW0Ju3apZ1NP4vbYx8HKclsshuV6FhYPLLy8HR99Yz0Kv1UpuvXBtpbx7daWcy/bairqGXxF5YyEQj0c/ddzcDG1WrmTaP6/ZrT15trBHtJpMnWD656ZXy3MzK+XD0yvleCW2TiZaa4LnHF5IJN746UaIrfpLbSdrM7kTW29Zd99+0mD/63/9r/Lrv/7r1VFJ0Z0/wn2rfFesW2APLTA8fNJHp3P7j//xP5Z/+A//YZ2c2MNLPnGiOd9NDnzzm9+sEep+67d+q3zhC18oiMKidDQbP3EV7xV64i3gOVmBeQAl53F/bj5Yk3O+P+nE1uDi4vVkCA0GUqKS2reXKWOIGsEC+QHRwvfmPL/TdelkfIic63VnIkQciL4c7XfT1ytyyX8nUSgQQETOaKSO/FxuJmXOXQ35IhEr3kiEMa90W8lAZzrzLCYDTDQMkw0iVOQVxHkl8Mfyul6vIn6ck/7ChDgyhElrk/YmxhEl9CEmok04NaJrIySZsDZJbkK/TWxzVOlzWj9ELuegCXmT3Ca7TWQtLi6WM2fO1OetiX54xnPXFjlBGVG3GjHAxBdSgK0J9TY57joGdc6hs4xUYD8yA0KpSFGIBOpJrvqJ2Eq2Oirj+Y9IQJfmcHMNx+mvLNsgg5KFIKA8EoBydGcrx03qIwG4BvsoK6oq/X2nB31hEERVJAV2oi+iAgIs25IrkWuymg6ihbGl65CLKDAasbURVZFZEDBcD6mFrZVXPxOH9FU3cshlN8QGCQmBTFl7yD3tTwu4N+DZTmzdn+3TtbplgSeN2Kpm9XWswQZe+Xo0JIL5EBAaceBWzW99AjfS/VcyqgU2yAOXs4CmkgeyfwSOVKyDIHA8pAGk2Y8Gb7xwYrIuQILXQLRGSkAeRRwVJVUEfGTX3fAUvAPniCRGD99Hr0nT+yW2Olcij1x1grMGAi9MNeiHyHs5OsJ+FlEhR3x+ceqpjdjacBFc4fn8la98pS4sgalgEc9q+MCz2mvrYQsEcXgMqdGzfTF4qmEuz/WGF5SFMTzTETDhHPiiYS0Yw/OD7O9+97uVBNtkw0VIizAXzKCsa7TfMRwFw7ie48ig8IjFOfQ2dnrUxFb4jk5IuvSDz+AedYHX4KpmU/WGw0Q1lZF61UMbjBJbtQOMqZ0QZuElmA2RF6ZD/CXXuZJnciMWsz/yln2wHT3oo/wosVV70Yf9tKdtw7lksrsyzrEwG7nZ9ciE07QRXK5tXE992kIy+M81ydWe2rFhOveV9oMVm66wvvuEbDo0DO8+YgM2oz+86p4iu8mEbd1LdGBPC8nVncxf+ZVfqfVHslW+p4dvAfZ3n2gj7aCdjQHY37anboH9YAF9wpNObG12hsNS3fpWIngIqVVUVWTS5UyiI73yUSkHPOVxn99tqYupb74pKLjywPbbAOBL5NE2LPe2o6vxaVk89NOzefYs8amFlhEZ8BVSK/x4KjjLQve2IMpCKgusYFCLjRqpFX60qJuu61EKliNLlFbRZOHDU8Gkp+J/Ox2ZFsTDvxaAm6SnP2zaU7dAt0C3wONoAXhb7sTWvWk948/mZ29jkb25UpfaLfDeFgC9yk1i64DF0CErsTWvo/+hiK1v3SjfRGxNxFakzYZx9BP19O3trc/pQ/zTlyhfc3BZiI8TIbZObq1lu1bmkufzfSEkzIOZSuRDFJH18NxU3Yraf3A+kVkToehA5tpmpxMAZnIqWCvRTJMnJkMOB9CCCRFPEUjHwi41KzmRa2fXoAM9tnVsW7renpzrjEHfm0gurFbE1nBBS6pfzgZfvvjKhfL91y6V1y9kvH9jLaTVZpHhLARX0UtZZytgdYidGly7sVwObNwoJyYTnTT52FS2B6fLyaOHKrFV1NbZTLpOJyON6if0EdV+9Bq5zu265zr12EAaFXE3s5Exy5DVq9at1m+b7ppKBXqXQOjkzPfyzWbHctr8uhwS6+VEbb2U/NalG3mLQeb3llbK5ey/lpMCnxMBFmF3ILZO5vt4ZNyyxE4NfXdXIPreitiK2PrhEFuRW4eIrZOJ2DofYmsits5n/D47LBxG8m39pTZsdunE1t3svM/2aTDOw7/4F/9ideDVW2H7B7nPVO3qdAs8cgvo4DnV//2///fl137t1252dI9ckcf8ghz6JnEQaDiEf/mXf7lOhDzm1erqP8UW8Ox0L8ucx3cGsE+xke6h6k8LsZXTmsM8b0CIQ33bQHnO7FXajMM8b3+okcUaCeO9IB51EFtFhRCxzOt4D4mQloFgc/Lv1JdMjn9OehHNzseBz+lfr7mDSLKT2Ip4oRybIJLIHPuiZzxJxFZ9hNzudZPnCAIieSKJIkvqS0xGI7HKJrYRKxAHTH7bmrB2DD6RyHReI4abFEc2QBA1wW8Ria0Jecl5znFdREsT6SZpXcsku/JIB65bB7nb12mT8+08pAYT63RC/PBcb4TS3YitsJSxBvIHXZr+tsgGcAIbjNpBBC6Txeo7OtAcJQH83u/9Xq0XmV/84hdrBFk2Io9dkQ8QCtSZHCQJZAEkhVG5+nI2pDubsCFyKwLJTmIrgqP6I3cgqiIesF0jnNCZo0DSNvQli0wkBNdB5BA1DrkB2aaTEKq59uUfbege7cTWfdk8XakRC+hbnqSIraoGj/ApW1wzE2yANPBeEeTT3VdiaXyjFZvAJ0gN9o+m+KsrueH5E8MimheOT9RXvsIgroGcihSLlCDK7GuJOCva1tUQFUQi2Cmvya6Xcb22Y8f2QYmtTZw65dFVybew1LngrzdDan393EBwPZsFRAk+UY4vjJfPfWSqfOJDk+UjWSR0N2Jwk71ft57VCIWepxaXIJh5lnv+iiAPK8EADRO16J+IivAK4uEv/dIvlcXFxZsOfXUlF27gq3AO/6hnecNQZ86cuflc9zyAm5RRVuR2pE44oBEWm/1gHAQ4RMxvfetbFTfAIzAIcifSJr2UazgHToSF1BOGgWXsg+VgGHWFG+x71MRWGNPiH/bX14g8Ty91h8Ngm1YP9VQPdYCZZMeUGyW2IpBqL9jr61//ev0MQ8GM2hQeVd9RuSYaPJPZnp3gUQRQ7aVt4dhRYis9JBF1XRsWdZ80LOqYdtKudHBv0d/98vnPf77K1k6uA885Di/SWxu6rrLkktnkNj8Be7Gd+9A+dkOAhjHpxpbwoXtK3d1P7Oo+GZVJJ/cp4i/86f6jE5zivqaHc7VDTw/fAtquE1sfvl27xIdrAf2B54O+QT/V+hHPtLZA4OFe8YOVlm6xYiERUldDcrWY+1rIqMitiK78U6Lpw3RSuuiK8SoGDLb0FgBvCkJysIU1EUkRLJwCQ573BoCLWQQbTIiw6lxRVL1dCMGVr4yfjC71FbvR4UKN9H8rSitS6w36bEf8pw2MC5N5O4E3JfG7PXcsz4CQWw+F0Eo3BFzl6N1Tt0C3QLfA42wBOFbuxNa9aUXjD+MIuY2b9uZKXWq3wHtboKKukDCD0oLT/Pb5x0JsDa66FmB2K2Lr0kBsTclRqKOvaOnW58jB7kzB4WjG3bnGZAi008lz4xvlwMRmOTK1VY6GEXks84xHgqUW5qeSJ0NqnQrmGs9YOYvlMwk5kyim01MDwXF8LATHECPHx7PwGagL+HINOTAymiO2pga5ns+tP2u6tfH/qM7DMb6ByIvSQ5ntWiK2kp36vHEtb7a6tFa++9qV8sM38/aeq3nri9VZ20VzZr0eI5LJqlvRE5mTmeY3lspC8jNTK+Xk9Fo5PLWR6P9z5ZmTR8vxI4fKsSN5i9fUZJmqxFb100eQeutf03vnthFbN2If7QeTDrh0+0gDqLU+A7l1M5+rjuykrbYxNSy+nvH0cgD79YSjvbC0FlLrajmb+r59NQFhkFyvLZdLN5ZDih0IvGUr+oZdvEXQHVOuk7ogAk/kWoH35cOziK2r5fnZtXJiNhF7ZydCbJ0rRxbms6BttswhtsYP1fpMotlW3yl3Yusdjb2/DphwFUHxP/2n/1QdZftLu65Nt8AHYwEPG46ff/yP/3H5p//0n1an9QejyZNzVRNBMrt6cPTULfC4WqACyYCxNmE1gNXHtTYfvN6c720SGiYxmWdSEpjcOTh41Nq+cna9vJxX5756dnil7bU4pDnODR7AahhehIYs9CtHRFWYj3M7hFBAf2dCzkBu5QyfNK6Rdik3HHjwv3T0KloRITLHsWt0sd2uQncEU+TWGiki9eG8r4QS0SK2TzIIM0D1WlxOfmRWr2sTnYLT3iRCfia3pZ3EVpMOJgyqU99EAoJrHPhPGrGVEfQTjSTHmYeQgbDQCHMm1U1Yt2el+x/h0aQ+IoDJbRPriBtIpG3iWnnnmmxHtjSBjthqglv2e3J+S/RANJBFfPL7MzGP8Ik00Qilrbxt6+voa+JdVDPXoAfiwVe/+tVKjlV2lNhKJwmxVTQpuqvPaGqy/fZlNrLPb9+2Zfvprr50VtcXX3yx7qPzl7/85XodZAWDUAQCdURAoKeoWuyBiEoPRImWyHUOcgGbkC0jCOwktqq3iF5ICmyB0CEjVbgGua3fam1OrvPI1tfBQMgSSDAmGltbNn36dv9YoP1m2+/U/ed+8nv0+/Q77albYD9YQN+ir3HP6oP0+/pG/csHNe6CD0SuQgj9WYihrwRPIYneyL7V4JP3SvAGnOVnVqNo5bPv75XSpVdsUiOn5rPvo4kM0eFFpkf2/FheJ3vqcKJjhUgAp216JkRHr498nU18AABAAElEQVR9OwTRn72biK3nQ2hMtC5RXDd3yBuV/V6fHxax1XXUC8mWja9WIsVga5FlZckrdj/+7BD5/vkTiSoWjPW4JnjgXomtFvG0ZzWMA7N4Xo+OMRq2gG2QBV3D70b5llt/7xmA3AZjIGuKMgorwFA7ia3srCxc9J3vfKfiBvuUR270HIEbGmZwrGEc+Mk1GoFycXGx4jnnIfPCQY+a2CrqKOInPKO/UV/2hCFhLzYarYsyr4aACYexKztbSNWIrbCYvgkeZvs//MM/rDhQ/b70pS9V2/uszKhcNkLuhKnYyPOZDvBuI3eyGwwIrzXcRebnPve5qsNO3AV/IpnSAcnUd2RVi5Bs4W8y3Ust+qr20u4WeDmuLUeT+rpn9ct0hKH1zwityuuj7bdojExtzk/mviCXfXbKVHf1cQ68j8Br7IC02wizMEpPD98C2rITWx++XbvEh2sBfYznw9NCbGU9WAgug/kQWWWk1qUVi62HBUArFjnluHJQ0FgcXvxx/HgWAVnEjdgKG1rgZL9J/0ivskRa5e+yINt5fGVHghmVtfiKP8sxbwu4uB2l9XwwpAXf17L4iD4i7cPFMOiU68bvZSE5OaK0IraezGIkvkRyJ1MmkLSWV8+eugW6BboFHmcLwMVyJ7buTSsaKxkzyd1HuTc27lLfvwUCtwKhTAiGoBjwhZgowmiN2Bpi40tnl2vE1m+8dndiqz7jVoocxNbqgofRgpECrCY318tsorQeTGjPQyG1npyfKKcPTCYK/nQ5cWC6ElsPzE5mnnEi85qDv28yE5yTIXvW6Kzmnv0D0JIHv8M2sdXlk30bcuoUnYwLW5+m/HCO0we92jFn3onYyjrrkfvKheXyx2fz9qC3lsqfvnMj0f1X44tM3NLUVXWlQd6wFUF2axzRNNeKLgfWr5XDG1fLh6dXyumZ9XIoi7VOHD1Qnj11ohw9dLAcXpiLjyHE1uQxfhX1Ddk2mpFQ061P2zu2N8PltV0msp1TT1CnwSaKtTZKD5T2QW7dtl2OVZ9bA7M5CV1V9NYbmTB+5+pAan39wvXyxkU5c3LXVvJmz7Xqjx1Mr471/7ZGu21yX+SaiK1ujcDnGqn1ecTWufVyMq4R7b9wYLbaYr4RW+O74r9qvib1aD5CYymJv6bN2bV2Hm3jWmj7T9s/uu9+P49Fme2mv18RT8d5zMTZ+Jf+0l+qjjG1bqbTIO3z02GNXsun2QI7OyCRFP7tv/235W//7b9dO7mn2Ta97t0C3QK3LOC5CMTKnMf9OXnLNvfzCWA0SWei1ETik0psrcC/gn+Dnfux1L2fw3kPDd8LIqYaRzpn+0IGRIdC1j1yIFG+4vSfblEjUobM9fAmOPGvhqB6xevVQqxAcEX+5bjfeV3lz13NACZEkTcuDNE08hOqkwNzke+6M4mS8SQSW1vr6S/0GyanTaLLjegqqpeJKFv7/DZMciMMmOBGxkCiHJ1AJ+teia0iYyEZmBQ3cDtz5kxZXFysE+lIBKOkz1G96WbiXcQuZBG4CYnAGMLkuwGhiX9yv/3tb9cJe+QBk/4iqiqD1HCnpE/VB6h3sw3Cg32yuso+IwggNUjs4/XCJvbJ1580cipiA6K8iDX6FjZUxgC2JW1Cpglr9TIuYiPkgp3EVoSXb3zjG7UcHWBFMl0DmaANhJtsdVIXtkNE0FbsRleECTbpJIRmrf23bb/VTmzdf23TNbrdAvq9J43YensNH843GAdR1sIdRM8zIbaeOT2ZV5OJTj84YeEar7MVAfW1REAVBfXtROtCdoVjHiQ9TGJr0wPW87rd6yFzXA35Ahn3reiLhJHHTXk+0WifO5boYokEhoDxuCbP0/shthpffOITn6iEShgKnvKsHk0wmQigsBEcAHstBhc1YmtbmKvcvRBb4QTkS9FgYSN1gBcQF3fDRI63a3juIC76bdMb3vrsZz9bMQOc9CiJrfSCi0TKb/2MRU30UR/YcacvzYIhtoTD2NXzFCZsxFbnOQfmRUD9gz/4g2ofmMiCKAuRdk7OtjE3LIVkCnPSB7G1EZfhPfthRHiVHnCtKLBwl8+jGNB9oH5k/v7v/369D3xGaBUJlR5wt3ZUHyRUuI6erklXiwh2w3L0RTylg3ZkA7ZqmUzkXzbS1u4z94U6wKrw7WhqGBimVF7d3QsIxoit8LxzdrbFqIz++f4s4B7pxNb7s10/69FZQB+hT9BH6Aef9Iito5bld6rRoILTLEJCJrXopxFLLQLio5KUhY/iuihTIbDycyGT1tfTzmUrolf8XgiofFpIqXBWJaYGPkzmHHiKDLKuJkrs5fjCzmYh1zuXN8q72YrSKqK+hVzOdWUIjEx4U7TXU4nOejqRX0+H1CrCfo0am+tazKVsT90C3QLdAk+KBWBiuRNb96ZFYX/jpp1jp725WpfaLXB3C1S01Yit9bc/EFstNLoWYPTDsys3ia2vnF9JcKBbuKeN99t2uBIcFalcOMkDhTHbOOemNtbKzMZqOTSxUY6G2PqhI7PlQ8fmy3OnFsqpo/MJ1DNdDkxnTjMEy3p6xFRyp+8WMY3zmaGZBtO5RlXel+iU3Y1c6sBm6qSMcSHCru9+e6O5CnI6gBhN70RsBUlXU+ZH7yyVb/38SvmTdxLA5fxquZ65qfXg+bFEoa3eSSpVG9Igfgvk0fGpfKbfZllYv1KOblwpL8yslGfnQu4Nmffk8UPlQ6dPJkppIpQmEhNSq76BI3Qgtubc+o+iyXdMDY3ashUL+ogzmG3VC2U52oxHfiwsQms9nr3j+qSsCBsLoVgEKIFXl7MyfynE1tcvL5fXQ2h99ezV8vNzWbibqLVXrsfnGgzv1qHf1hjq72Bzl909aZHgde2VT2LZPhdbILa+MJ9FxfMW+0/FLrOxx2x5L2IrP6GxlNSJrbtbfN/s9cPgPPW69X/+z/95/WE2R68fqR/m7R3JvlG9K9It8NAs4D6X2oOIs/k3fuM3arRWzqB2/KFdsAvqFugWeGwt4Jno+ShzHvdn5IM1JcBosu9JJ7ay0vajJmD70aQ6Psmfu45TdlHFmGMqg7wWuZWTvUavQGzNMfobxIgIa2CKzIoEYhLB9/wsakSMnaIRQiqxNc7+N0NsdZ4JAtch33W9/u1JJraySR0Ex4DIlCa8bU2imyhH5JTbZ1tlYHMT6ybaTbLDJggC8IlzEU6ROREn/JYQIOSdEVtdG8ECQcGEugl+E+IInIgTu034t3ZEPkDSaAQNep85c6ZGbEVQoM8osVV5EVoRSkQo3S0aLNn60DbpbyLOeWygXuo+muhv3KIc/dnFCkqEhUZsZTPkVPZAGBAdi93YAvkB+aAO6rcFu766iACGNONcBJdGPhHhCwnFtdhXRC/XRihQBgmhveJxJ14kWx+nLibEPTMQF5BB6Itgczey72jd++dHbwHt5X7rxNZHb/t+xXuzQCe2vj97ibQliukzR8bLx56ZLB8O6dPrZGEQuEcEVASFc3mN7OvnN8qridZ6LiQFEbhgGCTSB0l7QWylUh6NlTixspYooYkYdimECsRW+h49OESnFaFWRNrHNXn+3y+xFZmykSU5qJu/s9lCP++5j7ToOY/4uLj44MRW5EsR3mEuusMaMIhnvy2f02iCGdQTJjLxK3sOwX0wHSwFb8AVj5rYKqrq7/zO71R8xn6/+qu/WrEMDAQ77sQ/6tCIm4it6g7/NGKr89QXQZNsi4YaRrJgqLXTTrnsBRvCbLAiGymPZGohFZwHqyKLIrbCX/SDE0WZ9XkUA5JHD+UQd90HPsONylvABH8jtcKU7hHHYVpk0kY2hoF3S+okq7/rtMggdCAP5rRlB8k9QbYtXUeTe0PW36u3rQTfuj/gbZhyN5uNyumf790C7N6Jrfdut37Go7WAvsbz4WkktrI0zCMyqzcHWaTUCK58TtcTwdX30QXYfHM4DfAfHxQsKHrrQdFbs8C7+afEtfIWJPKVd54Mc5F9Pgu3Rfl/N3l4g9EQ4dWCqHQdNcFfIsEeDHEWLjsRIuvJEFtPHsrrURO1dSHXnIoO7Q0Fw1n9b7dAt0C3wJNhARhYhl9heM8peB5uh3vh4o5f77+t2Y4N5Z3j3PuX2s/sFrh3C/BN+a3nb/6HlGhTxSRia6J1LuU19JXY+uaN8vXXriViaYitDVzV84bz4awqov7RfwRQKWdOskUcDe4d30RuXS/zidh6ICTVowemyrGFRGs9MleOH5otxw7MlCPzWTw6N1Hmg8PmMvE4nYitU/W3gvsW7XIeHauewN72F4duElujW/0XPbzhaSsAr+qU8ypJNLrVPoze2TOIibJRWF18Ipdo5NRA0nItzseX3rxcvvHTC+WVkFpfv7xeMayFWoitwwmInfmUP5uVOBrqZiK2qvfkxko5snm1HNu6Up6dXi2nQ+I8dexgiK1HyqkTx8vBA3NlLqu3mv+hKhJl6EnNqmq2Q7KflsPe1mcjjWof52xipqqMfLMcYmvqF/+Q/XTdiJy0THJ8lNkhUq+2vx5S85Xl9XLpRqK1XllJXk7go+vB0avVhwlXr29GWs4hMzPGIbcC0qTG5jbbqaqx/ZkGospOpG0mt9bLh0JqfW52tXx4biMRWxPVNhFbDx/MmxwTwXY+9pidiU3il2p2qe0WWergMz+WxB/Ft8In0/rVVna4x2ux+qftv7Xn/j/1iK33YDtOGpPAf+/v/b3yP/7H/8hN4kYZ7hSN0j7fg8hetFvgsbLAaOfj86/92q+Vf/Wv/lV9dW7ruB6rCnVluwW6BfbMAp6JbWKJ87g/Ix/M1E8TsfXBLPXozjZAMF7k5J9J5NbZ6SFqhSiu9jvOSY/kgchqkkCkMNEo7BsdbIxqPUpsfSvEVqQLqxRnQ5g1cWAclPHlE0dsbX1GswWcMYot9CcmvBsB0iDKZL0JVFE+G6lOFCavsF1cXKwkVKQAJAET7PdCbP3ud79bJ+7JNnGO7EEm4gR5nGG7JfqYePfqXUQNeiJ8ipYquimSxiixVR2QAUy2u4YBoTKjqfWlyKzq2eprsl7/ylZ0MuBkM7a0X/lGbGWXUWKr63pFMGIrPREeEBNM/CMEq/Oo/clkf+eRibSgjgax6ofYivhLF+QDZBJkFfZwbfludqOv3AjKyA/IB+31tZ3YOnpH7K/P2q0TW/dXm3RtdrdAJ7bubpfRvenCawSuEwtjNVrrxz80VaNkHQu5AJFAEiEAifWNCxs1WuvPQmy9GqKoyF/8qYOHbFTqvX3eC2Jr0wD24kBH5kCmuBGdkTtExJ9LdDCLhiwgelwTvHCvxFblLfaBQSwmMXkKO41iAPbQzyOfwg6N2Oq53yK2NjKkcp79sIKysAJcBisgQVogNJrIQrCEK+AG58MzcAOZPu+WlJM9g2AyC3TOnDlT8cgHRWwVVfW3fuu3KuaEeUTrR+o0Gb2TgKlOMCJMBzexFQykLoit8Jh2UD+4kR1ffPHFOr5mE/gLXoS7dksNN5MJv2lX7QVbsRWsCgPuJLa2iK07cS4cSF/EVrrA1bBji9gK48KTZGpLZS1scj33FVzHJveakFr/5E/+pN5zMDA9yIFT2WGnnuQr0+4PdlDO/ef+QLTtxNZ7bYX3V56t/faNFdwf+hD3qN/jzrHN+5PYS3ULPHwL6FOfZmJrs2iN3Bpf1Wr8VMtZIwvDXcuipaUsxIaP4CSLq2EmCQTkh0I85Zc6EFKrhd0iq4rMipRKZrqBm3jRdxFZLwQzvrMdqRV+vJLrwJIWgPNz5dT05ZEVXxcMKDLryURoPZVswdHRkFpncsy1zeLnf0/dAt0C3QJPnAXgV7kTW/emaY2ZjBvknePcvblil9otsLsF6m89h2wHB9o22AopUrTOayG2vvT2cvn+GyG2/nyb2BqcBP8M55B7CxAhj1aZQJvdAW0DsbWeEIJn6J4hgYphOhMW6myis87PZNFQyKxH5qeDtabL8YNT5cTB+BjiDzucYwdCbJxLuakQWicn8gp6YI0C/uirgvdsOf9SJHuHzzmS3QOhtUVsdcipg17bcvJ7FEG0ElERLlNIrvVIkY3xibIUP935kDx/8POL5Rsvv1tJre9kodTGVkpG5vCHIrd4B6GyhugZ/9HYRJncXC0z60vlWLlSToxdKyem1sqpYMrnTh8rp44fLceOHsk4NW+KSV35C2q/UH0rdERX3bY53ZNTgWyRUzMfGAUsFGvtwT5sXs2iNAJsZNnXyL3Ir46v59zVfFgNQfVGcPj1TARfXk6+HkLrUhbfLa0GO6+Wi9eHfC3b67knVoKbK3E2lmpk4q2xgdg60GXpQ9Eh0blWJ1vW3YxdJjbXy3Ts8myIrR8KsfVDidh6POvIvYnhyMJ8OXokb0yMPWYz0V19LbGLrf6zZdL5eiT+nk5srabY33/cqBy/f+Nv/I3yne985+aNq1HbTby/a9C16xZ4cAu433/5l3+5fO1rXyt/7a/9tepYdv/b31O3QLdAtwAL6BNMbsicx/0Z+WD3RSe2Ppj99upsjz1jO474yYxrkFxt7fdENKAwISB6Bce96BfGmRz+d0qN2Or1bG/nFb/IsMp71ZuorWQ/acRW/YQJaJPv+gsJAcCktdRwtn7Ecdk5BlKcfggZyBBIFI6ZPF9cXCxnzpypJE0TqvdDbEXgILcRWxECGrHVwG631IitImsha/jtNmIrAquJ3VFiq0VzyACIrYgMBoSt3k0+u6grXWQEXeexkbqJ+KrOvjcHHXsiS4iqxW7K7SS2Ih4gILwaQgXCA7JJI7aSN0oWIGM3YqtBrPN2Elu9qtb1RRpAoFB3OtyN1NCeGa6rLiKByQghfUK83Q37b+s3535r5HKftZf7+qZzaP+p3TV6Ci3Qia3v3egiYS3MjZePnJwoLyQvnoxzO6+C9epZSbRWkU7PXgqpNYRW5NY3g1VWglWQIx5G2ktiK/0qNqv4bMBmHNLIrEgZ7bW5D6MeH4QMz9HHldiK2Akfef7DQkiddyNDwiWyBDcob2EOzEUG/PWoI7aK1o/Yqq/x/PvLf/kvV8IwnEannQm2g5XgsLsRW+E+eO7b3/52lYv0q67qfDcfXMNVtvAagjEyKlzlmQ0DIuPSFz6DEx+U2KoujdiKfItI2oitu9lgp012fkdshcdFgxW5Cr5o9wedR7Hq6LnuDfVmH+Xg0PZ2go4pRy318D6zdye2Pjx7dkl7YwHjlk5sHbBQxUPBQAkOVTEccuvSyvDGIAt/EFxb9Fatwb/V8BLflAiu/F/VV5OjwwJumCr7Ula0rmvLWQwV3IjQ2iLlk8vnJTnXwnCk1qMhsVpIhdCK3Or7wRBnLTwi83FeeDTUtv/tFugW6Ba4swXa2KYTW+9sowc54nlj3CA3v/mDyOvndgvcjwWa/6L+3gnY9mfATZDW9TjcroTk+NLZG+W7idj6zdeullcvLpfApBzdJn76hDgpOmk+bxj3JiOS5jYfgu1UaWRmX1wmzpWdBVNNpuCwWCkR8ZFZ4wM8msVFxxK19ehconfOzyRP12MH831hbipR8/N2o5wbMdUP43o+k08Tsmv9QmzdlHN8qCdcCC+mQM05IUnE0s2tIU9GyFQij1ZSrGOTU+VifIw/u7wWYuuF8u1X3i1nr+XNhFlQv7VlPo4e5JhgxTsYJlorfTfEU4TS6Y0bZXbtSjk5vlROTV4vR6cSnTQE3uefPV5OHjuS6KTmmmarz6n1DRGWmrBvrrBNTq3a5s92LbJ/CHRj7FvrnyPjqVzFw9luxUZbgs443+fUjYz1lBOV9VrIuldurJXLIbBeDVv1SvKlGwlOU4mteevO9bUsNss8YO6F1eT1ZIvFLAargiKnJbKHnW3rSD77KtWiQ7RWxNbJzbwhaHM5xNa18uxs8vxmOZHYOgfh8EMHynGLp0Vsnb6d2KrPVL+WzLFK7Q2L/DytX23l2r3ezmn72/cH2faIrfdhPTfsK6+8Uv7m3/yb1blYb+BtORqr3sD1R+XmHxp7ZyPex2X7Kd0Cj9QC7T7WIbV7vN3PX/7yl8u//tf/uvyVv/JXdnXQP1JF+8W6BboF9qUFPPf0HTLncX8OPlgzdWLrg9lvL88G9aA9K++M7/LYHBliDA59Yz3jnTrma4OLOyg1Smw9e2l4HRxYOV0nD4aB4JNEbNU3IMIZFJkMda/bhwRgEv5uxDjnKS/qFFKryW8yEDDPnDlTo4ghXZJ1r8RW5AQRosg1IS7iFGIreQZs9u2WREn1elfnI7bScXFxsXz1q1+t9UHS2ElsRTRoxFZkhZ3EVo5N9UIWINNnNjJBjzxosr7p1LCa6yIsfP3rX686mMQfJbYixr788su1jHJ0QCJFbEVyRUIdJQu4HrsiqiIXNKKBNkIiQWy1hRtF7EImQdagq/qLBqtsIxM0PXezIRnaHfHivYgtu53f9z1aC3Ri66O1d7/a/VtgvxJb10II9WrW189vlFffWS+vn9soN5AJQjR4lGksGMYCGpGxPvrMZPnw8Yny7NHxGo2L0xuGEYH+fHR96+JGEalVBK4LV+NszUE452Ekr7cVqWvx1GT0mKjRug7F0f6wEzhGZ883wC3/K5azfVyTcdeDEFs9yxthsjmmmy3gir2I2EpfOOTHP/5xxU+e/XANLLIbJmr6tC08Aa/ATgiPsIZ98OGjJraKZPo7v/M7FSvRQcRWkXARPOG0ndgHsRXOVH/EVjgLvmwRW52nTeFGxNZvfetbtZ7qCK/Bgeq+U26zzegW/mJPmNg1WsTWRmyFux6U2AofwoCIrfpbbQnfIra6Pgy8W9rpM1An95/M9+7eaPiXTdwf7lMy2fVuiW3IU3f3R6v/3c7px+7PAtoR7u8RW+/Pfv2sR2OBTmy93c4gUF2IndlyUVq9ZagSXBO51VZkVQuXlFG2ObpgpXauyPcyPxY8yCdm8t80vvORW72FqEZp3V7oTQsLiuDLQ/NjIU+I0hr8d2i8nFjIYpVg0QM3o8FG3uMMzlS2p26BboFugfewgDGp3Imt72Go+zzcxgRtnHGfYvpp3QIPZIHqe4qEuvWbz+cGcbYCdq6H+Hgl4TxfOnu9fO/N6+VbPw+x9cKNRFuNryp5MzhLOTRSxEkkTITH5tdyBO3StsnN112S2KMpm0Izicg6P7lZDk5lLm42GCzk1sOJZIrYemQ+/rgDIrrO1NfVD1FcB2IsfciA+1xTxNUKDlOvOr63rVrQZFubugk5tf4T4RT3KAtRQ9Cc3ia25mvZjL/i7ZBY//jsSvnj1y+V7792rlwM+ROmLInYCmfWa4XUGgvkI5koronYGk0mYqOZjaVyYO1SOTV1o5yeXilHgytPLMyU5xOx9fjRw/FVHLwZJEa/IEsDsTXyEzU2DonhMoQnU7/6yaiRttCvDP9yQLukTTZzzoacXVy6sPFqciMtX7y2Eh/qcrlw5UYluF4J0fVq2vxaCM1XU8cbWXG2kjzcIxFwl1TVilLae0h1T9V1+89QH3ZOntxaS8TW5fJMiK3PzK2XZ+a3QmzNGxNim6MLB8qxRGydj19N1Fb+Ibn1mc3nRC9+LFt+GT4WPpnmPxwtN6p62z+6734/d2LrfVrOQNik9b/5N/+m/Jf/8l9uknbqzRaZo41kn+/t2H1esp/WLfDILeC+Hb2XTRaI0Pqbv/mb5fOf/3ztrEaPP3IF+wW7BboF9q0FPPN2TlLtW2UfA8U6sXX/N1IemTVtb25TuA4v8qcNM247uONLI7aeC3EEYcQEQH5OWRkpGqzn8pMVsVVfYUBkIhS5wWSoiX0kS0RS2ONOJFLnwuTOQaJERBXVqpEp2+txTYLfC7GVXLKQDEzQS2fOnKn6IG/eaXLeeRcuXKg6eLWrCX4DO9GqkBtMphsQ3iuxFVlWvZBJTey7DlnItiJvITgYbDZMpu9FQFGH3/7t367kDjqPElsRDtQNYQDBlY0QJBAQWjQvMltyTZFj6eI857CPQezi4mIlbmgv9VXvP/qjP6pkDfbwGl66IqnQuw12m+yd24Y/lds5gN5Ztn//4C3Qia0ffBt0Dd6fBfYjsZUDWjQskazO5pn/Rsitbyca6soagsD7QQ3vr+7vp5S+F4lAtCykUhGzRGsVxVSULFECvK723SsbidgaXUNuvbI0EBYAlYelrdfaitL1XIi1zycjO3jd7V6kqrM/2+L35ip7ofnuMj3/Hzdiq6j7cANSKHwE01gMg7jpM0Li3VLDPjCDDLs04tKjJrbCXSLWi4YKh33lK1+pGEgkC3h2J/6BTeE6mAp5U/vBa4it8BhsJsFS3gQAW1l4ZDGSNyjBpqP47252GsVUzZ+NUPswia3eKqAtEVstoEJkhcWRe5Fc6b4zwZdwP4zJHnRjK5MjzmcfWPXVLO6C79Xd2xNgT4uf2OtuafT+gCnltu9u5/Vj924B928ntt673foZj9YC7fkgArRnDpK8haLv9WaRR6vlo71auuHqb4I7YVLkVkRU5IElOVFckVv5qUDTdNM1muv1HLtyI28YWhm+I7/KLcFUtXzw402QmJ0IEPxaorSK0m8xU82HJmqkVvvmckw02EqSJainboFugW6BJ9wCMLHcia1709DwfxsL7ByT7c0Vu9RugVsW8Nu+LW3/3m/60XJ/VmJr8NaV1Y3yo3evlx+8vVRe/PmV8uq5vPY9kU1rcFLnxXlVCaPO8Xkbx1WiZfYgnIJOd4ZPw7XoU6VtJnbq1noooRmHx/c3O5XF7bOTiZo/VQ4lWuvxA1PlVAihR0NwlRdybGF6vMwlgmt4sCXFKzE1p1Y8qa4IuDWKbLSoGtG1wkF/AhZFGkXMTWhUxFak1hnE1vzb5HtMxNZX43f8o1evl5fevFp+9NalshTyp4inYzmnnp6xJ1Lr2Fje6ljtAncipw5E2bnNLLRdv1xOhdT6TKKTqseJhbny7Ikj5eiRhepn4m8w56hPkPUT1aY12mpkTWRebNu+25WLbzTlamVSswBVkV1TpLbJZqK5ruf7WuTcSFteD3iuhNWQVy8mn0+U1kZqvRhi61Kitd5Iewd6l2zqQrGNgGfjakRhbXm3xAL0HauRW5X0jTbD84TO9Rt92WVrtcxsLZfTsxvl9FxyXG3Hg7sPJWrvkYPz5ejhQ+Xg3HyIrTPVz8TX1PxNzYdCN/O4Uie2VjM8fn8ADa+a+g//4T+U73znO3Xi2CBZamDk8atV1/hptEB7uLYOyrZlzmKkjH/wD/5B+bt/9+9WUkI79jTaqte5W6Bb4L0tMIDYHrH1vS31/kp0Yuv7s9OTUMqEwbmrGwWxVRY5w/BjeP2aZ/OTR2xFNkICMLFv4ZjJcJFRYQ9kAJPhDZ/sbGO4G7HVZLpIYqPEVqQIE+qIAQZdyBMmxhEzfXYccWCUPEC+/ks5E/7tdapIn0it5CFnmvwa1cnADonBBBldEDToYuUiUidSaSNn3CuxlW1E9KKLCX4T/ib2EUaRUEfJonRHEGBDBIvf/d3frWSBncRWfQo9kQXINZgnhy0QSth9NLoYuQgHInwpzz7IC/RAaKVLi9iKZGxc5Dg7a0e21qbkutZORyL7NRu6lsS5YADd0/62gN+ge999KqKvz+43k8Tab2db7+/adO2eZAvsR2Kr7s5z/1oiY3lF6/lrW+VSSK6jr359VG0CX8zHQS1y1ukjCKUDsQCp1THEVoRbeiLiXoiuyA/IDg8zeb2tqK1eQ3sikbsQXWezr6f3toDn6H4htsIYyJoImbACDPDFL36xbkdrMrogCNbx/EBc/NSnPlXPg+F2+p7gBHX1/JF9hxnaYhjPoUcdsZUOFiCJqgoHwaYWg3/yk5+sC3tg2TYpoP7K65Ma1mQr9VSuEVsRe9UJWbARWz1T4TWkWfgKthyV22xLPjzITj47rz2T7YfnYMCHRWzVxg0Ds4N2dV3tDgc7jog6ip0dl9VPtniKviZI1FHdyHRPGyPAGewD+8KVcEYj/+6U2+4P94JrwLS72anZq28f3AJs3omtD27HLmFvLeCZ4fnQia232zndZPpKhAC4LhH644NCbl0SuTUEVnhPXt6O6jpgwWFhlmitEiJqHlmV+NoIsjAuwsUk4kOOhyNR3w4A5x3JwiWLqQZSa16DmyitC9kP81VS63vN5g+X7X+7BboFugWeCAs0XNyJrXvTnMYKndi6N7btUu9uAb/t0dS+byF4wl85iI7I6bYSUqOorT+9uFx+ci5RW9+4Vn56YblcXx3P25My75TXOokAyjc3lvE9siJyYyV22lf32Ovf7im80FqqbqPboAfCaMiUOcb/N5U/sNhsyKsHZ+IbDJkVqVX01mPz+ZxIroezH8F1PozWOYTYlHWe+cuWmhaVbhn5Qz+H2Jr/46ib0T1YEbG1RmzNfsTQ5RBEf3J+tfzuT66WPzm7VF45vxTbxE8aG4zn9PHoPb4lWitZmU/K9yGHoJqLT4fsulBulMObV8qpRCdF5Dx5aL6cOHygnDx6qBw+dKDO6zUfAV+JPkKuulIw+smt+WwdvznHMeyoUVpXYvuV1GM5vtEbaUP5anaIxnppSV5LxNnVcjn5aqIFLGUrr6Y+a6lXbcNobuuGQJxVx0qgbcbcZRtKcoqnxiG2NkLreOxca+H+Yp9aYqvGsp0dWyvzySdmYo/ZzXIiPt+jeTvWQtry0MG5ciS+lvn44+Yy78h3Ius3b9omOmlD84MSvw3/DDs2uygrtfu8fsmftr99f5Btj9h6n9bTKK0hOG84Br/xjW+U//yf/3P57ne/WyeT7WtOtFZ2Z2Pe5+X7ad0CD9UC7f5sQluHhYxx5syZSmj9W3/rb92855Uf/Q208/q2W6BboFugWUAf4fnYJpX6869Z5v62ndh6f3Z7HM/i/EdsPZ9X+56/MhBGDHKNC8bzx3YqY6sDWU33TF4RfOb0ZPlYXhl85lR2PoZJ34CEaeIaMRUZ0mQ7kiRSg61IKrDHTryiurC2iSlkCKQA55K3uLhYJ73hGJPeBl2IpgiZiK0IFybFZRPubWKcTDopayIdQZV8RAu6IBEYuLXJ+aYT3O93So8Wrcrkrol8pIYvfelLlZCqT7xXYiuyb5OJ2GrQKKItwgTCLd2aHuQ3Aip7GJ+wkTJf/epX6+tg4Tv7kA4QBRBgfTcQZQ9EVdFVndMGpuSyK7LGD37wg2ob52ubncRWbUAmsgZbIyAgy2oL5V2/DYybvV2fDenuWhJCw27RverB/mffWKATW/dNU3RF3sMC+5XYGh9oJYeK0D4QBwYSaR5FjzTBF0ilomSJkOr1sI3UShFRF5AXrtMzZAe6isz1sPVEinDtuRBaRZDlUEeI6Om9LeD5+UETWz0T4J9GbIUZEBAbsRWWGk0mb+GJF198seIGdYBBYED4YeciCRhNhhksWhLp0zVhCwt/4ItGXHqUEVvpBKshoMI+sB5MBfvASRb27MRrcJXFQiLgw2zIucisjdjqHPvY6Ic//GGN2Aon8dd9+ctfrviyLRhS79HEBvo89mFTGK9FJHFsL4itiKnqrU5wNL3hPovCtD/MOorn6SW7V2TnSOylrLpZMNNwpTJwqXvCQiz3h3L2NRysHciEK+Fy94jPLbrr6PVH7dU/P7gF2L0TWx/cjl3C3lqgPR86sfXOdobt+KRMtg/k1kzOh9x6NdFZRWi9mAVObydq/zuJ3n/+ahaWBKcdCkl1IZPjFiOthfx67cZWIvzHLxGsSNZMsOX8TEmEVm8DSD++MJY3A0xkIdV4XciE4IrQ6i0BPUrrndumH+kW6BZ4ci3Qxjid2Lo3bWwMYLwkNz/33lypS+0WuGUBv+vR1L6333s8G/k3UBKDgCph1cLxd66tljcur1RS58sXVsvbN8ZCilwr12+slNX4QVZDcB1PNFHk1kpjzHU2MhYLyzLS8i/3u3+7pa0W3bMd5ghMuqVTPkdWJcsGFMJlUylzONFbj85Nl5MHJ5InQ4r0Hel1IL4ivx6YmYw/MWTInCRXTMcG22P0rbBYa51DXh2L/rXuIYFOpRaIrZupz2qOXc4iq5feXi6//aNL5c/O3yhvXF2pi69EpZ2IbuNyJXCmzo3Yqg6O51pz4xn/j90oxyeWysnp9ZA4t8rpo4fLiaML5VjIrQcPJCpp5rza4ujmI7CttmA7NowuVcfYdYvOMudkDrPPRvavJZrutdThSoisl6+HvHp9rVxeXiuXboTQej1BQK6sJUprCK1pu+tpu7X4YrQV/6q7g92rXD6N5Dr3y2QAecrdLQ1xduk13EXIvu4Itpmw3c5TsdFcGMEHx0P4nVgvx2a2ytHY5Ehw+6G030FReOfnMt94oNplZnaI2Nr6zJt22W7HFrGVX6YTW+/WQvv0GMfNaKO6CW9cTwjh60vVgaaBDZqzO+X2aSW6Wt0CIxZwP+vUTQrYmiCwD+AbOtl+I4+Yq3/sFugWuIMF9BeekfLwHATVerpfC3Ri6/1a7vE7j+P/AlJr8oVERBMdrf56jKlSHXjySSO2wssmlxrpFHkT/kAKRQpA4jQhb8DZHFD6mDYxhfhpshuRgCxlzpw5UyfSTXqT5Tdksh3pAJnTNUyyLy4u3owM67y2uAfZgFwEBbKdTx+EDJPoyK3KNn0QDUTnQihBbkXSkEzOq4MJePrrE++V2EoWHRAF1NF1TfYj5CIMGES28Qg96UEH9hSNi63gul/91V8tn/vc56o96MZhqgwSKjIC8oMoaTKbsxudJaQAZejBJuqgPPvuJLYiIbg+O4vahUhBlnLIKkgb9hkgt2cF+zUHrn2uy85yq1tVpP/ZdxbwO3R/9Iit+65pukI7LLAfia1UTJdXCaLDK2CRCeLgzL4PAjl7NSyMMbVNauWIbolOnLfxoVeCKz3ji33oCc6ZzIX5i3fT46Ff8AkSCGN80MRWOsAhFsJYsPS9732vLh7y/P/CF75QsZfnuue8jKDq+S9yKNwAD1rYAm/BGHAODAMHSuS3c1wH7oMbGr5Q1nd46FETWxEw4UtEVYt74B04BiZtTn/YR4Kh6K+cDN+pI3zXiK2wpn3qqIzFViLhO68tRILX4EC4quElz+WGrZt9lKEP28Kue0FsheVgRdgTDkRUdT02gAG1p/o0G2hH7fTq9qIz9eKD/MxnPlNxKH3pbz+syrbwuTLqLTeZDa+6P9hWf+88W/tcv2H3ZqfaEP3PQ7MAO3di60MzZxe0RxZo/oNObL2zgQe8Fzy6OWA+C6+WsqAJsfWdyxvl7RBaf/ZO3lRzOdFcE7BJxFWLrU8myv6hA5ngD048H1Lrn761Xt5N+cvXQzAIsfVgXnX6TN4IYHH2s8knD01UUqvFVAixsN/ogqo7a9iPdAt0C3QLPHkWMH6Rm1/UcwqmNcaB4+HnjmHvv93Zjg3l5se/f2n9zG6B97aA3/Noat/rbz3ePodRG2uUzsz4+cfBthU/27WEz78SYuQbV9fKm8lvX0sAnKWVcvna9XLl+kpyyK0hVK5uTdTt2uZYxW05vToSR9x4oyoMn+tBZMrtQ227rQ+9NkOMRBLdTHYY2VJE1tn4CUVoPZDFSCK5ygcSjv/Y/FQ5cSDb5CPz08F1E8F+yRYtjSOuRk5kjoV4WWsdeVvj5puyDXdzMlYQv3Uzv8+l1OXNKyvlB28ulf/7k8vltcur5Vwin9KJ0SZC+JzIZ5TTwYJsWKvNWVQmt9bLgbHVcnRiuZyavFFOTCc66Vz8RSFhnjh2pEYmPXBg4D+1PiGn1/619bHbJrK7bIbMWimi45NlY2wyEWUnylrsIoKsBVzXVjOHe137hMx69Ua5vLQcEvJy9m+UpUQGuJ7jN5JX8xmhtbZ/6oE8rP3ZW1uM5zrjAcLDnZBYtLmGNrhbWke4rWRm9tuouUW/nQmRle0nk+cmtsqBuKEWprbKobwY8VBw90IWnB1IxN0D2ilk5Pm52QSXmSvTIbVOzww+m9ZfsstNvaMwv499/CvNF9X61WbDdr83/dv+9v1Btj1i64NY7w7narDaCbUO4Q7l+u5ugf1sgdbxPMwOZz/Xt+vWLdAt8HAtoA8xuSFzHrc+5eFe5emRZtLPxJzJTJOAJjNN9gGNH3Q//crZ9fLK2Y04tzfK2UsbeZ2uqAyg+ZCQIkRe4Kw+Eke3V9suJKJDuBM97WKBBMYoFyupdWsgtmalpkFOSwY7iCeimJkYOHN6onw0EwmLj3HE1kZQMAFuYh8hwD4EzsXFxTpxbWK8RZpq/YsyfhfOQ0I1Se8cUZmQCExiIwggOXAIOm6inXyT7oiqJsWRTg3GTIqbLJf1WybERcgy4U6+/YgJSBa29HE9/ZyJdo5HRA6kT4keorUi0LqWsuTeK7HVJLFzkETZR13USRRUcvUF+gF2aaQCBF52QTZ0THnEVlFeDTrpwn4IMAiz7EJ/Oqsbu3gNbCOIIC4i2KofcgHyqv5HOXb+7Gc/W0ko9umv6IyggtRCJzbikEVuIF8kVva2n2y2JtN59NXei2l7sn2Xe9qfFnBPd2Lr/mybrtXtFvC80I+5Z/UpInU3JxyH3QeZPOfbs37AzOnTH7FCelldbct3unzTtW7vVOgB9rfuvuqxrdMDiHuqTvVM/SCJraOYCAaBAbzRCn6CVWAFi2eUgwP8/vwW4RHYrC08Ug+/T5gBdrA4hgzJ86bhjDbh6/crKmib+FVOmUdNbDURjdhpAZC6+y2rJ5IuvAZjqbs6w0ZtIRBsxV5w5U5iKxzGPo7DgLAgjMeeZMKYznGdNpmg7nSBXRFD7VcWCZRdkUsfNrFVW2kb16UfEir8zAbajp6u3/CfNqIb/Iy06xztDo//0i/9UsWX7GWfcuqtnLGwPtwxeFybw4zsJNGh2VZb+Oz+aPeeujc71RP6n4dmAW3Via0PzZxd0B5ZQP+hj/T8ML5u4/rRvmmPLv3YiYXz4tZLn5vX4iK2xs/3xvmN8tq76+VP30Ra9frUUv5C3h70xY9NhbAaourB8brvrUR0/fYrq+Wn8RO+HR8hYuvRRGrlu/rIqcny4eNDpFYRXEV87YTWx+726Ap3C3QLPGQLwMxyJ7Y+ZMNuizP+MiaQ+1hgb2zcpd5uAb/nltrnm9t4+2pE1BQYIq6K1xpyY84RkXQjhEYLjK6EOHlxZbO8e20lAXCWEwjnRt7yuFzzldWxHB8r1zcmyo2NsZJi9Tznci66+i0Nds6p4LDlaI3eyglY/9c+iNr03Ap5lI5VSH4/lXJZTxERNITJ4LfpyYkym/H10RBaTx3IIqcFEV2ny+FKcJ1KlNeJkClLmZ8QkTUE10QOjSiBZZNFbE2t84U8UUbXJ6fK5UT+//HZK+UHr18t33r1ajmbqKf2VQZsyrCPqKwDsRXxNLpGaGXlbayXqa21slCWE611uTwzvVxOzG6WE8Gbz5rLO56FvvMC+s1W34v+QN8gS/Wzba13NUTkhzIaUuvq2FSkTpaljfEQVjMPuCIia8isS+vlbKKynruyGmLrUrl6PYFvQmxdjp6r2jKiNcmYekY2O2qf/Kl29rlGXI0OE/HbKCHX+0Ox29KwY9A2cmtbD6TWzDjGxsHcIbTOxd7zIbEmqG4Jx7gSkRcyN78QIqs8X8ms43lTVnIiG8xMTVZ71HnO6akyKerudn/Z7DPcEwPfg39GMr/XfOqtX222bPd6U7/tb98fZNuJrQ9ivX5ut8BTZAEd0cPsfJ4i0/Wqdgs8lRbQZ5jckDmPd4KZp9IoD1Bpzvf9Smzl2P7Zuxvl5+c26uvGOL2RM4c2D2gP2g4ers7sQ0itGUwsJCqD/T39eQt408Tl65kYTGSLi0tZAZjBWx1Ibhf1LM64MYOQsRod44UTk+UjJyfK8yc+WFLOn6/J+9+jn0DWNLktIihiQ4v+aDLchLWBkgknE9KtfzFZ7XeBFGlQRY6JfhPnJtCRLk10IxGY6DbBbQILWRU504ANeRNB1GAMccJWZme/OwSRll3LNZyjLH3I1sc5hqBgqy6IAybbRVUlTz0M8pS9V2Jrk40ggCiAjKC+zS4m98lmF2VH7UInOiORIrb+4i/+YtVf3e0ni83JRaxgJ4NXdSRfHcm1X/uYsDYR6Br2sfXi4mKNroW4QQ9y2YDdtCVihfPYih3IttU27IGwQTaZPrsum53ZJieT2THo+/89PeqS2tC90H6zPmtfbajNtV9P3QL7wQL6x/1KbGWfdLX7IwWfvRdEeyS6vg899ofB9o8Wnr8fNLEVZvA890z48Y9/XCOxerbDFnBCw0SIkLBaW+QCG8EjFh75ncJgMAj814itsABZDef4TTcsZ9EfTAJjSM5/lMRW1/T8c10YU4Y74aFWD7p5LjaMSf9GBIRl4SKYTsRSi64QVj1PtSucBH+Ri+TpWmQpTy47jWJBsk2Muxb7wcTwLpy8V8RWba/+DVsi4qofXejX2lKbSdqxLWpSRn0Rnxt2HiWrwqgWYbm/2dV12KbJ9bndH+rd6u9abNSIrb53XFLN/9D/uE/b/axt2Vm7uP9te+oW2A8WMG7Rf3Ri6/trDXjPnDmflKhUr4fY+moWtP/o52vV90fKpz88Vb7yielyYmG8LmIHZy14/85Ps2glBFi+woVEaxWh9VPPTVZy6+ks0LbPAnh+wTyqeuoW6BboFniqLQBHy53Yuje3gXFCI2r1scDe2LhLvd0Cfs9S297+eZjrg7G8zl5JHFORSCcS1XQr2VzgamJwJthnWVndCA4T/TNBcJZWy7t5tf07V5ZDeA2Zcjm+gtWMrbPY6HqC41wP6XI1E7NryRYo5fRKIN1KRNC8675ey57BAenKKKHNBzh8bseN71oJEUXH+PcHgXW/35XfE/Jk3mhfSZOH8+HYwZngwulyamGynJifCLk0gY5mkCrz5h7YLyuaqj5onok8i7QqgunqZBbghqH77VfPlR/8/Er58ds3QuxNvQVQShnlJmO0SoSNzgnumhz7VSCZ3/jmWpnZXCkLW0vlRIitp0NsPZVQpafCrn0mxNbjx47WcelMIpK2Ba87+4MKSaMLwm2t+8R0iK1T5ermRDm/UspbiaB7Lga/ELIxovGFEI2vJGLrUqLKrua1BWvmSNJ+YtNupFG1Y53XjcjaxuzI3v7UC/izbdR8Qmplm4G6G9JtPol2q7DPjjh1IsLUV4RahGERWhFaD4bQejBk4vCLE401b+eeCpE1eS4E1vlM0Iuki5A8le9T8dFN1s8hs4ZUPBmC6+T2Pv0l22hjqT2jbDuxtZqk/+kW6BboFugW6BboFniSLADkAL8y5/EoiH+S6vmo6sL5boJuP0ZsFYHh7URkOJtXkl28lqg6a8MKQbDcsAj8DS7O6i+vqRgit4re2omt1UB/7o9B7VKiYYh863VveftIBqLZyaAxZh28xHizGZwcTQRckTFEbj195PEmj+krkBVMMiE2uNdFp3Lf229C1KATAaL1LwZSCAO+22/iXtSVRlQ1Qd4GYcqMkgKQLfyuDNCUa9m5iBYGcHQyQYuYaSLdRD2yRXOImRxXrpEz6YJkYCIeucLkPHn0agNlMskTmUoUM05LJA+RxkR3NfnbJvLbzaH+6sombEMXetjvemzT5CM60I8M+iCWKCf9yq/8Svnc5z5XJ/idoxybIAggC8jKs7lj7D2qC9nqKiuDjIC8e+bMmfraXHYbtTcdm87aUl0bEYNsucmjozZiU22BgCGTTxe5p/1pAW2oXTuxdX+2T9fqlgX0W/ol96w+ZT9FbL2lZf/ULXD/FvAc9SyHMRBEG1kSofTjH/94vectHvFbQCRtEds9oz/1qU9VQiUchQi487mrn4edkCrhEPjDc39xcbHiADjMPgm+ghFE2ETEhO1cs/3m6CAiOwInLOBajsMjbaEN/fxWJZiFfOXsI19dZRE+W+RSW7Lth4H+3//7f+Wb3/xmLY9I+1f/6l+t5NqGgchip1ezcAgJE0Yjg26wDUwG5+k31FlU2UZWhac+/elP38RUVdH8cW32J6/hKhiHHJjKFlZyLZld2zhPHV0TCROxFQnVdzJbOTalL0wKw7EJGzYsqCx5rulYWywET8FViKDayfnkiC6LhEivhhPp4ftoIhcW/YM/+IMajdZnMr0JgFx2k9gU3oMJYFbt6P5SV/qwQWtLbdQIkPCf+wl2hqFhZzo4x7XdT00mefRnE4lM50vt/nA9yf3hntae7gHXbpi5Fuh/HpoF2LwTWx+aObugPbJA6yM6sfXeDCwyK3Lrm4itIar+4GeJJB4/YLrn8pnns4D2U9MhMYyXQyGrSu9cEbEVsRURdr0cC+n1uWMT5TMhwX40UVt9F8U1XXxP3QLdAt0C3QKxALwrd2Lr3twOxhTGFnIfC+yNjbvU2y3g9yy17a3Pw35kR0UqsdWufPHSe6+ULyFGIjtuJlIokuNYiJ2bYXGuhWx5dXmjXLqRyPlXspg4pMpLiWh6NeTPpUz9XM6xizl2NZOz15KXc95azltPdFQvqhd99CaF0ni56hiiZPCYWcVhG2Wqbrl+CJWVTkmH5PHx+AgQPnO86U9EI52GuxqCaxY6zU2WY4ngeurgRHk2Efs/lDd3PhOSq2iu84nmOjMTv1F0yfs8M885Eb5qiLyb6+X6+HR5K3Ohf/Cn75aX3rhSfn5+OfXaKKv0qfqKFrutK5Pl7I0oPRBbM/+8sVrmNq+Xw5vXBmLrzGo5fWgmc6fz8QWcyHzT0eo7mJ4e3sDY5rAi6lYaKpQ6Aamp0NRM7DdVziZI6WuX4xN7Z6m8dSm+5ZBaLy2F1Jq8GvaxNxzQ6KYxM3dLhDnd6ppAyK0S4d+ReXF1S6sMNvTZXZCSsQ8i8njuhZq1YD5rwQRaLdMxxFyoz3Nj6yG1bpXZyURoNfcuKmvm3Q+mMQ7kM0LrbMisorJOb+eJkFkn0k4TE9uRWeMf0rayqLET0X34bhsqLR23szE/f5M6mM/kX+KPav2q/dLofe972+/zg6YesfVBLdjP7xZ4CiyQPqv2x09BVXsVuwW6BR6SBSrADdABdjiPd4KZh3SZp0ZMm/Dcj8TWKxlwXEl00avJ1wPkOb0rYE/rgLIVrAdwBzPnFQeZfM2qsem8rmIb5z41bfh+K4rYisy6mlWWy5k8WK+D11tn12HVtj0RhE0eHMoAUSTcxz3pL0zEm+Q2YY0AavIaocDkt75EmdHEKWXyG1mivUrQJLYJ/kaWUF4fRAbiBLIBYkAjBZAh2pXzFxcXK8nUpL9BmUlz55j8oouIUYginI10aX2biXLXQ8o0sDPJ3/RoRA96OMfEPDkix5LtHKSTM5l0R2Bok/PKS60/NanfiL+IAuyCWECm35l6qDdCCmKAfgNpAfFB3ZEPRMFiK9dxjnPVkS3IpJfPjYTq+vRXt6Ybu9AD+YTNGikXidexNljVlq7LbjL5CCHat5ERyHeOOhsMI0YgHiBLIGPY3+Qp29P+s4DfpfbsxNb91zZdo9stoL/txNbbbdK/PVkWgBfaghLkSs9yz1GYBL6BD+AEz2F9NiykvOf+xxLxtEXK9Dze+ezV14vC/mpwBawAG5DbFgT53vCOZwJ80hYG0QUO8LxveAJx84tf/GLVz37yYQZYx3lIobAGolzDf+qnbMN+sBsSJCzSSKBNFgzy4osv1oix5MJkItfTGRFS/cilm+x6MBFM1urUyKJ0YCf1hwHJsxgJWZityBtN+hrl4E3kTvVgc9dzXTrCOM5jM7aCj9TP9xaxVZ3oINFN1qb0IZtN2Qvec8z5EvnaHd6Dq2AqsnxnO3rQCVkXWdn17RfVH8GZDr6PJrJd51vf+lYlNzsHXkPuZX92k5Qj33G6NWzper63erCD68DPDTuzOwxNd8dG70H3lOuzk/vDPdjuj1GZo/dHw8Mtki97O97T3lhAO3Ri697Ytkt9eBbQP+lL9B/6J/2Xfsc4V3/U0+4WWI+Pby1+JBd0wwAAQABJREFUKYvZvbHpeyG2vpE3Nt1IhLBPfGhyiNh6aLwcycLrdAW13Isvr5VXQmp9K4vgPxRS65lTIrZO1bcNHU450Vp76hboFugW6BYYLABDy7A+zOw5ZcwBxxtvwOaj2Ljb7d4swHZsKPfxwL3Zrpe+fwv4TUvt992+131IkPlvHrCWStlQIZPNe8nojkN8zgTkjIwcScFMF4asasFRcJgcAuvSCiJr5nYSSfSdKyvlncvXy7mQXi8n+um1tbFyo0yWlTJVVkPQRKSt1wyZdAxoy3XG+Shqji9BlNHqW0BspUnwWgi2fkPIrVXHWq8cFEk0hUiRMTmNtkUQnUsE0YWpjfLMzFZ5IS6NxeMz5YXjs+Xo8byR51Bw90SCxUSuSLBbIbVurq+VS1uT5bUETfr/fnyx/Oita+XdyzfKSvwAG66zfU3oUeRTaTPn1pzvITuW2fWlcnBjqRzbulpOTK6UkzOb5ZnjB8szJw+XkycOlyNHD5XZGW9fnE5fMJB1B0m3/3UpdS0hBI+nbMLYlFcurpWXzt4o33j1Ynn7ct4QE//O6kaitObVm9qHTlW37T9D1NX4nFiMvrGTQwI9xZRD1vI52Iit7g/2jlcoGbE1EVW3cvXkqURnnS6JSFvWBxJruMFHJtfLoclEaw2mFol1PoThlucSnXU2pFbRWadFZw2pdTKfK6k1PpHx7b5wTL8YQmttW22cf/VeiKLaXH85ev+6N4ylHDOGMifLf6OcfS2N3uv2jR5rZe5324mt92u5fl63QLdAt0C3QLdAt8AdLVCBWIAOsMN5vBPM3PHEfmBXCwCMJkn3I7F1JSOq1awKXA0Jk7O7Do4A9u0EuMK1shVlGTcE7ILJPe1mAabLmCg5E8PZbmZbB0AjhdnSQMjrOzJOqdFwn5SJgdZ3cOYhBbSJcL8BTj1EBWXcVya9G0GCo8+kPaKAbEC101mlL3I+mUgcJsddw37EARPrJulNcI06u0ymIyQ05yKiKP3I0se5Dj1MmCNZmEhHHqDHcP/futvp3kgJJuXVSTm6GxCSo167JTZo5AcTx/ShFxl0oLNJOTqQRT8TdsqoAzKH+injOs6hT9OpRW8le7R+jbTrHEk5fRFCTHtlLHIrhyuZo4NVstmYrs3e+jK6sXtrR7ZrBGX2U4fRNtjNHn3f/rCAdnR/dWLr/miPrsWdLdCJrXe2TT/yZFjAM9fz1nO8LQqCKWASxE7PWs9yz2DP8tZv+9wWlngWK7czwTuwk3PI97wnV4ZhRp/ZbfxHLn1gEfp4Vnjukw+TwA4wRsMNzqMb3KC8LRnwj/2S6ziHnrJrww2NDKlMu74FOMibnlOwluvRt5EmlYMJ5UYsVa7VyXXUE45SZ/WHw8iDFdlMXZQbTY7DZmxFtnqQoR7q2vCa8+xTBiakj32/8Au/cJM0q14taV9lyEbudB77NCzoOPlk0KthUvZpi5PIop/+0PnIsa1dEEsbllPvnUkbsKn2dA7s3Sbb2W00uYa6qTvbug/oSnfH6OlebHo2m9PTMXln2k0m+fSij8S2bEYf+sH2rc0d62nvLODe9Dtp97t7yPhKmzaC9t5dvUvuFnh/Fmj9iP6vE1vfn82Uys+7+qcuhGzw5oXN8v0QW185GwLF5c28OWiikltP5Q1CRxOVi1/wnez/0Rs5fiULMla2yseemSiffG6y/IVnJsuzIbnOJ1pr5tZ76hboFugW6BbYtgAcL/PFws2eU3Bzw9pw7G74uBvw/VmA7dhQ3m2c8/6k9FLdAvdmgfa7dtbo55vf64ccyz///RmrrM26J+c4L2Pj7a296JHZtY3N4j/J6qPVEFyX19bLlURrvZwIruevrYTkulLOJ4zr+ey7KCjRauZn4lJZ3hgvK4niurElMqhLVomVkGquEbFVBFURRF1f1ND8cHyo34dRunOcqmzm/6tO2aN88ljOnQoBc35srZyeWi/PT2+Uj4bYeubkXDnxzJFy+GgWB0/OxS8zvCmmEltDEn07UVH/7NJ6+d2fXCl/ejYLepcynxXfQY1mSjD5SYMOsQFiayX/Zl90nlu7Wg4lWuvJkpzrnkwwIKTW06ePluPHDsY/kgAq097KM/ig7uR3UO8xEVNDvJ3YJrb++NxK+e4bS+X/vnyhnL18raytZuFy6hkrJaJq5uSih7arum0r6FubJ98+UvvxW325Cg2tOtg7pQajo7VWeut07DgTO86E1Co669x47Fojs+ZNngIeBVPPBFTPhNg6m2hSszPJ2U7HJyRC6xQyaybjJ5PHkydqsKlhznQs43X9oe2g0zBf76/vdf4+23bv2hrz8/M4j4+Rz6XNMd6qV2pV66G1hjR6rO27320ntt6v5fp53QLdAt0C3QLdAt0Cd7RAAzrADufxTjBzxxP7gV0tADDuV2JrHVPkT9027W/7kp1txHH7x1a6b3exwG0mvO3L7UZsA6YRE+8i7fHbpc9o/YitfsTEtd+C7wZQJu7l5piqg7EMuO42WGoyGzGATM5C55p0bTJZbFSO89q5dGn6kONcOrSB3HvpMSrLZ9d5r3Poo6zkmq1vNZGvDmTQgf4IG/8/e28CZklV3v+/d+t9n+7pngFkERVFWRTX6C8IamKMEPVRI6I+QUVxC+qDG0IUUNCIqHkgShRRERWISvhDDGIeMIjEBQKyrzLDMszCzPS+3OX/fk/dt/t0dd217+25t/tbM9Xn1Fnec87nVNWtW/W9b8GetWP1/DZsbGbLyiBEGuzaOM0mOEGc8NBDwWt74eFs//33dwIMCFzxhdbacB3N/7F+WFsmQIB9lLd+2zwaD98G441LAPOI/cUEUojjWIK42vbFxu09e7aWCFDYupZme+2O1f/MNQr+5yri9pmPz2Urb5/fyMcatVh5hFYOIepGLVYen/tYcQ2HNFwvQXwIUWO4LesPQpTFiusPfLYgzb9m8K8bwnbQH3w+ob4tVt62ESLf2sS2Py6zaflmC9sYszFDPX+xayi/PtIwDqShH/h8BBMIWv+sXnAfeOABZwKCTPOwDz4oF178/qBPxhblYN+uZa2PNj/WH5TzbSCOJYqPy/D++Exhzxj4tq24tYEQ9ex6wZhjbNgPStkxewjDNm38/v6B/QtjwQrbtvp2GK89AcwFha2150qLtSWA8xA+iyhsrYwrPibwSTExnXNi1T+psPUeFa4+tCXtfnDdq4LWERW49nfFZFzFExDAPrFT7ynoR3CbPnB/3r5JOWTflOwzmJTBbnz/D36oXVkvWJoESIAEVi8Bu8alsLU+c4zvA/b9wL4b1aclWiWBBQJ2XCPEUihcqLFQZlF592A1fx/HXZMFz6icVbXtxJN6pZZVxSuc5Ezoj4zG1Fvrk+rx9Ildk/Lo9jEX3zamTlvm4jKeScpUrM15IoUwFULUOFYVZurTJN1WV/2QvapteFSNqSBSi7kfOeX0WIJI061oT+u5fugtJP327QSyqKfviZE2FWMOxWdln8SM7D+gXvsH22T9xn7pH+hTD6OdKrzU7+3ul07oe8Z5Rb1r27T85uFxeXj7lF534v6R9kXbiFpcb7V/EIXG1etrx9yo9GbHZCQ2JcNtORnqapHh9XjDo769plcdqnTi7Y7teg8D91iW3vfCeQKLExPDi6mWg/gWHlvv2TYjf3x0Qm54UH8ct3tMsnOTTtSKscfV06zeHQr4OXFrwA79xndk9D6nQlm3untnaEdX5YT683/BLZdWD636XCU35/i1qefb9kRWOuL6Y231zoq1qzUh3eqdta9df/Ddps9G9b4KBKxJFbKCaYsKW4NnefbMVOcF/dImTaxq90hc6BxQLebh52O/xTiwILT7Wuax1Z6HGj+Us30dcSx+XpBS/V8KW6tnx5okQAIkQAIkQAIFCNgFDy52cPM4fDFToBqTCxBoZGFrgS4zmQRqSgDnEHsojji+ENkDePuyVUmD4XMU6poIr9RNLtS1/lhfUMce7lfSj+WUdV+O8QVZV2NgD/HLtQvPYxB7wQYWfBnFl1/YwWLjQxzl4Nnr7rvvdq/shZARr8t9wQte4Dxi4Vea1g+Uj1pgz/pttlHH+EXVYVpjEzChCoWtjT1P7F1wDoMXSOyzOO/Aix/OWxBW2TmPnEiABGpPwD73IT7EYtdv5Rx3uFbAMWvXKf41A+KNtqC/5qEUIlX80APXl+grxoAQK8rhugoeUOEBHz8awrkIPxKCsPXAAw+cvy4tNUa7PrZyxreR+GC8WMEAIRZc+5WzD9i4wqFv098/YNM4h+twu34EMAcUttaPLy3XhgDOlxS2VscSp+5ZfVvT6FROHtmakQdU1Hrvo+odbFIfcKvmoEO9Rukzdi2jr8fVcjMqqujpUMFrf1wOUm+tz9yYlHXd+iC+TT8H9fcwjfcJXh0X1iIBEiCBWhCw61oKW2tBc6kNfDfAdwT7nrS0BFNIoPYE7Li277+2jZYszW/VT1sU16um/FdoVzxsB8LI4LoqkEniumxar8XGVdw6OqVvLlTPrTvHp2WnClt3qEfXp3TdORtTL65ZmZyalSn1+Dozp8+XVMiZi6eCEBJVFWaqdFVFqsEzI/QBLSHVhbod5Gi3VDiZ0G33k2ctCGFrq0pCh2IzsreKW/cfSAbC1r0GZGBdn143dqoYU3/kqqJZvTEgaR3A7Zt3y22Pjcmtj03J47tnZVpfEQrRaiFhq37pd/2At9ZEdk660qPSL5OyITkjI50JGe5tl/VD+obEIb3325mSjnZ9S2KqTZsLhK2A6d8zsbgTtuY9tib1GdlcLiF3b1Vhq3psvf6BnbJtdExy6bywVcccU4+tkPTG3b0eHY6OxXle1b7D+y2kv1m1hzWHi2D0WhkFgmLIc7OSyIuK9f1K6pl1Tnpis9Kd0HhKHfGoh9YOfUlQh765sxNxveDu0Fd4drS36Q/IWvW+UXBuw30nWxMJxAMP1UG/tKNoF31z/QzuS/lx8LD9ztItzfY5hPguhXs59NgKOlxIgARIgARIgARWBQFc5ODhBlbcPLaLolUxuD0wCApb9wB0NkkCa4CAvVoXv7bE+dpe7RsWYsAbGMo+/vjjcscdd7jX8SLt8MMPlxe/+MXzr7i1mwBrAB2HmCeAz3iIlShs5S7R6ATosbXRZ4j9I4HmJoDvu/hMhFgV10v9/eoZRAX0ELj6Anp7GIDrKohaUf6xxx6T3t5egQf85z73ubL//vs3Nwz2fs0RoLB1zU15Uw6YwtblTRu8gEHcCo+sm7dn5B4Vtj62IyNP7oK4Naevi8XDcpGUvuYUQte918XlGSpo3W99QuMJ9c4VkxZ9KM+FBEiABEhgMQF8P8BKYetiLrXawr1qCltrRZN2yiVgx7Ufoi62w4uf5sdRDp5YbbE8P4T4M5b3FAqRpPPgCm+qkJeq6HIuG5Op6TkZn5yW7bsnZevolGwdn3HrDhW77pxQoet0RqbUR+hMvF3S8TYVmrZoP9UpgHoPhWjUiTX1OELP0Z/AS6yOJd81tB/XccWdfjIQtrbkZvLC1hnZrz8l+w22yvq9B2VgsE89jXap8FJFtCr0zKogc049pN50zxb5w0M75P4dadmufUrnNQVBq0ZgcYjmEtlZSWVmpSc7LgPqrXVj65xs6GmTDQPdMqgiWghp29vi0qpi0GSqVUWZcOYSdNx/jmVxCFtVcZv32JqU2Wxc7to2qx5bx+UGCFvHxiWXmVI+eW+1eg0MSW8MXl61nvOKChYQtGbw5iHVR6gQFGNFyUDQmlHPrBlJaV6LzllLLCspXTviaelSQetAak76WtQLbWtK2lXI2g4hq3pkbU8l3Dha1StrS1tHMB4V7QcOYwKBa0LFwhgjQowJ1+YLDCFujRa1atfcvol9y8pYGr7rIx1r2GMr7nWhfeNndRDa4udZWrUhPbZWS471SIAESIAESIAEChLARQ4ueLBS2FoQU9kZFLaWjYoFSYAEyiBgX0YhvHjooYecKHF8fNyJKiDEwK8uOzo6nAdXeHXFzdWtW7fKli1b3IpzOzwdHnroofL85z/f/SIUNwm5rD0CFLauvTlv1hFT2NqsM8d+k0BzELDva3feeafce++90tbW5q6VhoaGnMAVPx7Cgs9NeI/evn27E8COjo66tJGRESdo3W+//QRxLiTQTATw3YAeW5tpxtZmXylsXd68621eFUioR1b1xjo6mZNtKmjdsiuja1bGp7MyNZuTpCofOtQr67quuKzvi6uoIC596rm1uz3m8vS5NxcSIAESIIEQAbtHS2FrCEyNNiGqorC1RjBppiwCdkwjxOJvW1qUIcuzMJAkBiJMS/PDII42dIWAEQJXKBl104lP9UdJ+GFSRv9k0lmZnlEPrercZGJmTsZU7LpzKi1Pjs2qh9QZeWL3nGwZS8tYOiET2aSKW5OB91YVZLq3reCV9RgPBJ0qynSeVHUbzTmdKASh6Io2HFdBbKsKWwfhsVXX/fIeW4f3GZTB9QPS19Wjx2RKfxiVlRkNJ1QQ+t+3PiK/u2+bPDGRkzG9pswGCt1gbPp36aJt63fQZHZGWrNT0pebkMHEjGxoz8mGvg7ZONivbxjs1XsxPfp8Ky4tKgpNplqc6DPoMHih88FicbWqGYGwNaHeXWcgbN06rcLWCbnhwZ2yHcLW7LSOVRlgwHp/R7Wp6u1WJarq8Tan3CB0BQpVtjqvrfrzr0AkrHLjFNjodod6Zu2MZ6RL185EVtrjKmxVz6yd+kOwrrakrhC1pqSttcWJWVtUAIwxIEypyBVjSSRb3BgCYWkwT05Yq3OG8bg4+uGEz9HjtXGjGPYnrJaGENv4rm955rF1cHDQOcihsBXkuJAACZAACZAACTQ1AbvgobC1NtNoD0ohKoOXxKc//enOC1D411C1aY1WSIAEVjsBO0fDQ9gDDzwgjz76qGzbts15FINgFcJWeBhraWmRqakpgegVAgyIL3AOglexvffeW575zGfKM57xjPkvvKudG8e3lACFrUuZMKUxCVDY2pjzwl6RwGohgB8C4XrpT3/6k0DcCk8WeBUcrqnguRXXV1jMyznErWNjY+4hK/Kf9rSnOWEryuM6iwsJNBMBClubabbWbl8pbK3N3OvzbeedFQLXneM5fcCfkbGpxcLWwZ68oLUj5jy44k2zXEiABEiABKIJmGCIwtZoPstNhTiLwtblUmT9cgngeMZix3Wh7bA9v5yf54SW8LkZsjvfRiChVNWipqj41HlX1WhOhaFYITRVXaPLDhSY+uY1FWPOqNB1bEZ/qDSuwtZdU7Jp+4Rs2jEhT01mZPesenmVlK4tMq0hvLRiVPA2ilXVnBggeqX/9C80re6PxlUEmVBBZ0tu2glb94pNq8fWpOw72CbDTxuS9cPrZKCnV+KJpExrH3bnErI9HZfr/vCw/PG+rbJL257JmOA0YKkNLl3Ql6yKRNV7ant2UgbikzKUSsuGzphs6O+WDUMqoO3rle6eLhWDxlUMGtf7MyoEdb+yCuybgBPGLe5454WtcQhbtS+BsFU9tjph64RinNEaELZmJQ5hq3YzE0vp2uJC+GtFWjzfx0RuSj20qmdZmZP2mIpa1TNrTyItvcmM9KZy0pPUtygmc+qZNaE/kFYxa3uHtLa1O1Erns21pFLadxXm6opzWVLXhN5rct5n9fzm/iGcX92A3JxrklsQ2BiDlGDb9iukIY51wY5659X5xGr5FLY6FPxDAiRAAiRAAiSwmgjgAsguenDz2L9AWk3jXKmxUNi6UqTZDgmsHQI4L0NQAWGFvQZ3586dTsgKChDOY8U5HCvO6Sn9Ig2Prvvss48ceOCB+svXAenp6Vk70DjSJQSwb5hIB8JnxNvb2wW/3IWgB/sQFxJoBAIUtjbCLLAPJLB6Cdjn4ebNm911Fbzi79ixw11DYdR4AIFrL6z4kRBC+7zEj4U2btzoPLXC4wWut7iQQDMRwPcEemxtphlbm33FeRr31vCdF28jGR4edt9Z8KYSnncr2yecTkKfcc+mc+rBFULXnHoEw4Nw/bxTRUVrSgWt6rAqlVSBhZq2h+qVtcLSJEACJLA2CNh3BApb6zPfEGlR2FoftrS6lIAdz8ixuIWWZrWQ7i/+dhCHdDSvTMwXNFsWIjkQY2o5XHDp6q67YBsiVCdKNCuBLefF1V3H6Q+T5jIyOZOW3ZMzsntiWnaNTeoPl6blKfXGv00dkz45HdMfMKVlYnrWee6HyFVVlfrgSN/cp55BVV6qEk/tJ4YCAay2l1DBaQoeW1UWu1dsSoWtKRW2tsr6fYZkyAlbe5zIVB2zymb9kdSD+gaA39z5qNzxyA4Vu+p15WIs+ZEvDuLqMRXC1g4VtXblVNSamJb1rRkZ6U7KiApbh4fWqai1Wzq6OqVNPZ2m9BlFTO/JxLTPtvhCT4sHLFEuEI5OQ9j6JDy2qrD1oZ2yYywvbHXeceGdVkFqfzOSUAEw7vno8zSFoVuBd9bcnLSquLdVPbS2qqC1Q7F16e2e3lZdW3Rt0zcbqJfWTr12btGLZ3wnibd2SKKl3TmcgXdW9N2dw/QZS3AuU4+s8KDr5jqYU4hb3X83+cGuYONE/9wS2t/m8+ezg/tV9iwH9rGfmbAVIX7AjXx6bA3T4zYJkAAJkAAJkEDTErALHlzs4OYxtrlUT4DC1urZsSYJkEBhAvgyivMLvLXaiofS8DoGgSLO3fiyii/NEFrAiys8ieEVuRBhIA15XNYuARPyQLxDYeva3Q+aYeQUtjbDLLGPJNDcBHDdtGvXLieaeuKJJ5y3e/yICNdauK7CgocD+OEHrqHw4yA8EIC4Cj8cgqdW/+FEc9Ng79cSAQpb19JsN+9YKWyt7dzZbV6IXLHYfV/3Oabb7rl68Izd5fMPCZAACZBANAGcP7FS2BrNZ7mp+FwKxGAJ/vh+uTBZvyQBO57tuihq24xYmahty3PeP/MF5tPy5wzbzisaPREsLs7yqxNe2nYghnQCVE3K6kWcOk11gtUZFbhOz6VlfGJKxiZV4Do1K0+poHWHeuXfOTkrOydmZXQ6I6MzKobNxGU6m5A5FX9m9CdMWRWLOq+wahN9imfnpEW9mq7LC1v39YStg8MD0t/ZJcmWVsmoOPaOLVNyy+Yxuf2RXfLwtnHtD86HRqRwCGFrIjOnotYJ6VHfssMtMzLcnlVha4sMD3TL0LpBFbV2Sbv+gK29JaXiUBWdhpxv4Nxgi8V9YWtM+wePrXc+OSV/3Dwuv1Zh6/bxSRXUqsfWuHZS68dsLrJgEAhd20Sdfqh31i5dO+O6qnfW9kRW2lQPDK+sHa0J6VLPrF2a0NmalHbdDsS38MSqwtakPm9Ltbj7Rs47q776IK6M4/DIq2NwwtN81xeGECS46/CFYbndQIm6EMkL+0ww8vA2UgMbwb6C/LCwFflDQ0PSpXxxXwv9MX6oH7bp5yF/OYsyLmf3WE4TrEsCJEACJEACJLDWCNgFD4WttZl5Cltrw5FWSIAEFhOwczXOMVhxExXiL4QQvcKjGF550tbWJvBkgxVfWLENL2Pui/Rik9xaYwQobF1jE97Ew6WwtYknj10ngSYiAAErrqHwIyG7pkI4NTXlbvZD1IprKFtxTYUVnjnoMbCJJppdXUSAwtZFOLjRoAQobK3vxJgGwX+WXt8WaZ0ESIAEVgcB3JvFSmFrfeYToioKW+vDllaXErDjGSGWQttLay4IAq2uq+983y/Os3yE7rrLCSw1pk1mVciqUsS8eUga8U/TtGxcY/BXqhJPFWEG3mCdp9FYQr2kxp2n1FkVuM7oPY25udn8s6FZ2aVuVHdMZuSRHZOy6alpeXx0TrZPiYxnVdiq4lY9wNSmHmdqGx5b4+axNTclG9Vb6b4DSfXY2uY8tq4b6pMevR8CYWsu1Sa/vX+b/OrOLfLIaE62TcD/K/oGdsYvP5RQkMil1TPsnPSqt9a+2KRsbJuTkQ6RYXWDOtTf4xyztLWrt9Z2fZ6lz7Ja9D5MRtmAji2+4DKIa+tQikKoq0ywwoMsPLb+QT22/vpBCFv1vo56o3Ugtay+tMA5xo3puFPap7bcrPZnRvp13AMJDRNz0tMaVwGrOo1RgW1rW6t7ttbSrveANJ7SvqX02VtC+wcRa1JFrCkVimJNOBErBKbocTDXTkSqAlf8sGxhJMGIbDwW2jhR0JnIJ/j7z3wZjVg9hLaiLIWtPiXGSYAESIAESIAEVh0Bu+ChsLU2U0tha2040goJkMBSAna+xoM+CFnNiyuEGUiDAANCCwhaEeJmINLoqXUpy7WYQmHrWpz15hwzha3NOW/sNQk0G4HwdRW+x+HaCiseDuBBBK6p8MMhXE/ZNVXYy0WzjZv9XdsEKGxd2/PfLKOnsLVZZor9JAESIIG1RQDfH7BS2Fqfecd3MApb68OWVpcSsOM5KkRppPtLsW0r6mroH0hUg/9BuCBtVCGiMw5hayBkDdpwNV09tBNIWXNOgAoPq0iBt1XIXVWOqmtM0qrUzKhIM6ui0WwGz4bmZHI2K2O6bh2bk21js7J1VL25Tsyp4DUjmiTj6tV0Jo1VPcCqMDaXnpNkZlr6ZUZG4tOy/7oW2X99m4zsNSQQtna1dko22SaTiRa54d4n5do7HlcPsQkZn4WwNKNdV2Gu9g99VGCIur4F0k5oSnPqEXZW2rJoY1wG4uqxVb21DnclZbi/Swb7e90bcdpUQNva2iat+jwLglGIWgNrahDiTQ0WLXkWgbAV4ta4eqcVuXPLpHqVHZX/eeApeWp8WhKxtCTVK2tKQzCFULhFfdd2aN87ExnpTWbd2pPKSU9LTLrVM2t7qz5b0360qLg1iXtBrboiVM+scfXSinNUXPsIMWtSO5ZE/+ChVcP5ecYcIl1Xh2ZR57GhZYP/QTyU7yypDVvC+x7sYrE2EEcZE7YijvtbuHcFj63d3d3uvlbUvSyzbTZhqxYLPbbWgiJtkAAJkAAJkAAJLCJgFzwUti7CUvUGha1Vo2NFEiCBCgj4526L48uprf4X2wrMsugqJkBh6yqe3FU2NApbV9mEcjgk0AQE7FoK34ntYQC67R5a6PUVr6uaYBLZxbIIYP/evXu3jI2NOe/E+O4Ar8R42wNCLiTQCAQobG2EWWAfSIAESIAEwgTwnQErha1hMrXZxncuCltrw5JWShOw49kP8V0J21gs9C0VS8tXW1RvobyJFJ1k0ekfLW9ewJlvKEgPyqN0vobLzTnvrUjMewLVRmOqKs3lMipuzUpa3YPOquAV3kun5nIyNjEru9Vz6c7RCdk6PidPTOZk+7TITvXiOjU9K+kZ/VHv3LT0qOfSIfVaesBgqzx9uEM2bhyUwcF+6Wjpkal4q2zNJOS/71Nh611PSGYupYJa9YAaU0EtZKwad0Jc7UtGY07uql5l0e+Eel7tUFFrd3ZCBmJjMhiflKGOuKzvaZf1gwMy0N8nfb097s04+EFxQgWjcRWJOqUsDMwvizZULKqSWXhqxT+IPJ2wNSd3bRmXWzftlpvu3y67JmZUdJqTdpmWDpmS1lhW2uIQtGalOy9k7VIha5cKV9tUzNquYWe7vv1QBa0tKfywOXAYE4eXWziO0TUe1zbx/E3bQz9dV7WPrg+ur/l5RqD9Qq9t5i1cPBJXqaI/2D+sPYQWRzq+Q2HBfowfbON8asJW/GjbL19Ro1UUprC1CmisQgIkQAIkQAIkUJwALnhwoYMVFz7BhXPxOswtTIDC1sJsmEMCJFA7AnauRmhxWLcvqPaltnYt0lKzE6CwtdlncO30n8LWtTPXHCkJNBIBu6bidVUjzQr7UmsCuO9DYWutqdJerQlQ2FprorRHAiRAAiRQCwL2fYHC1lrQXGoD97IpbF3KhSm1J2Df+e2YthDflSxuZaJaj8oL6qF0IGHURzb5Jby9UMbFFgq68r5tE0GaKctz2/oHIUSlWRWQZlXcqtrWYFVhaVrjM3NZmZ5Jy+T0jIxOzclOVbzumsKqHlzVk+uEij+nJiclmZ6Sjty07D3QJvsMdcrGkUEZWNevIs9u2ZVOyMPjabnx4e3yPw9uk1g6pcpJtR+fdZ5VnbAVY0Af9BiGN9msCnAVpCRzaenMTklPZlyFs5MymJyWoa6UDPV1qrB1nfT39kpvT7cKW4M35Wj1YIm7EeY3LDG/6QJNU3EppKPwwqoPxGRGB//A1gm56/Hdcuufd8juCfXYqkwgau1Q4W6bCmfbUwnpSOakK6XeWVvj0qHtYk2pt9iWFohak9KSVE+sEK8mgrf4uB87w0ur+8FzIGi152/oSlTv/J7WI479wPpgzwCRZvoOxE3Yun79+kUeW+vRnyibFLZGUWEaCZAACZAACZDAsgjgIofC1mUhXFSZwtZFOLhBAiRAAiTQIAQobG2QiWA3ShKgsLUkIhYgARIgARIggaoIUNhaFTZWWmECFLauMHA2RwIkQAIkUBYBPEfDSmFrWbgqLkRha8XIWKFKAnYso7rFw6JWpBdawnlmw8pH5VteOPTL+vFC5ZaWCc5L8J6qulzoSdWbaVyrx3U75ry4plX0OaMePKd1HVdPreMqct01kVZvrrMyOjapnlvVhat6bh3qbZXh/g5ZP9Qv/X19KvjskScmsnKHCkb/8OhOueWxXZLIJtVLqwpbncdWFVjmRawxCFu1VSduVWFtXEWlycysdGUnpTc7JuuTM7K+dU6GetpU2NqtnkQHpU9FrV2dnXlhqwpmVaSKf6XVopCTqvBU/0LYCnHvnA5+81NT8vC2Mbn38Z0yPjEpscyctOWmpD02K23tXdIOIWtC1BNtXDpbk67d1tZ2ieuaTKnAVcWsqmsVDfLCUaUIkasTtQbeUU1IinDpXGiHVmCxdtEHW03jgTysYWGreWxdge65JihsXSnSbIcESIAESIAE1hABXOTYRY/9omcNDb/mQ6WwteZIaZAESIAESKAGBChsrQFEmlgRAhS2rghmNkICJEACJLAGCVDYugYnvQmHTGFrE04au0wCJEACa4CACYYobK3PZEOgRY+t9WFLq4sJ2LFcKlxca2EL9fzF7CAtKs8v68f9sn48yk5UGuroYeMWJwnVbjlxq0o94Tk1p6JTdBWC01w2LbnMjMzNpmV2Li3jM6Ii16xMTM6q6HVG0rp2tiWkqz2lgtMu6ejqknhbtzz01Iz89qGn5O6tY/LAjkmJq6gV2tO0CldBAV5TXSO6DVEr0iA1TWh7qfS0dGcnpC83rqLWtAy352R9f5cM9ffI4Lp10tOt7bS3SWtri7SkIGxVj7nun0aLLnlhqw5O5bsqrlVvpTrwnSrY3aYD27JzQianJiWrgt1kekKS2Vlp6eiRFhWwtqqwtVXVq60tCUlBzKqeXGOpNkkkW5yoVTWsahMjCBYTjloY7lZ43sL59dz2+4R++OJsClvrSZ62SYAESIAESIAE9ggBu+DBRQ+FrcufAgpbl8+QFkiABEiABGpPgMLW2jOlxfoQoLC1PlxplQRIgARIgAQobOU+0AwEKGxthlliH0mABEhg7RHAczSsFLbWZ+4pbK0PV1pdSsCO5XDoCwOX1gpSUMdfzAbSovL8sn7cL+vHo+xEpfl1IMKcF7a68xQkooH4M+e8esZV/JnRFeJWFaBmcjKTicn0nKgX14zz7jk7N6seS0UFpnEVm6oH07Z2mU11yF1bJuVXdz4hj6g31K0Ts8EYVSmrJtwSg3dY9daqhp0cFA5cIXRNqLfU1vSk9OQmpF8mZKRDZLgrIcMDKmod6JWB/n711toReE1NJVVkmszzU4FmYLroX0haIWiNqa4BMl7wmErnZFKFu6NTszKrotb0jHptnZtSz60zOp5u9cra5sSryURcUipuTSRSEk+qoDah4tZEUjR5XtQaSHQDz63WEZyjbPH5W9pKh76wFfuuv//Ozc25HwqsX79euru7VTzc6ry7rlQf6bF1pUizHRIgARIgARJYQwRwAWYXPRS2Ln/iKWxdPkNaIAESIAESqD0BCltrz5QW60OAwtb6cKVVEiABEiABEsC9n927d8vY2JhMTU251yq264PLjo4OQciFBBqBAIWtjTAL7AMJkAAJkECYAJ6jYaWwNUymNtsUttaGI62UJmDHcjj0hYHIK7T4eRa30Or4237c8hH66X7cykSl+fWQb1JLxLFmXai2IcLMr0586ozqmNyw4Mk1rl5O1fNqOiOZdFrSKkRNxFSQGo+pALRF0slW2SWt8sdNu+WaWzbJtrEZFY2qeBIiUhjR+jGseWFrDsJWdAbNZjOSUjFpm3pL7VNh67r4pIx0J2Wkt1XWD/bLuoE+9Qrbo99B1VtrS0pFpglJJhJ5HhhDQCAfBBuL/kJ2CkGtlnAqWAhrNaptpzEmFe+m0zOSmZ2WnIaSnVMBa6t+9005JHHlElfXrDGs2v9cPKmdTogOPUCmxjCUYkuhuSlWp9Z5vrAV/cF3KCyIm8fW4eFhCltrDZ72SIAESIAESIAE9gwBd7Gb/zUPha3LnwMKW5fPkBZIgARIgARqT4DC1tozpcX6EKCwtT5caZUESIAESIAEKGzlPtAMBChsbYZZYh9JgARIYO0RwHM0rBS21mfuKWytD1daXUrAjmV7Nh7eRg2kRS3hdNu2MKqun2c2/TQ/bvlRdvw0q+MEmNpVdDennlOzuqLnkGbimJpXa+q2E4M6yabmufJ6TnPaAPXiCo+urrj+iaVkMpuQTdMx+d0ju+S/bntMxibngrKxQMAay6m301wiLwBFuyqqhAG0nE1LS2ZKOtPjMhCblKHEtIz0tcpIf4cMDQ7IgApbe7o6nbfWFvXUmlCBaQLuUvPMIWzFGIovOh7oWQNNa1BUlalBD1Qcq0LdjFvVS60KbRNxCFe1DRs/CiKufXYyVs1DUgxgghwXFvpj/Avlr0R6OcJWeGztURExPbauxIywDRIgARIgARIggboSwAUYPbbWDjGFrbVjSUskQAIkQAK1I0Bha+1Y0lJ9CVDYWl++tE4CJEACJLB2CVDYunbnvplGTmFrM80W+0oCJEACa4cAnqNhpbC1PnNOYWt9uNLqUgJ2LIc9tNo2aqBMePHT/LhfPpzu55k9v4wfj8q3tLAdq+eknOgqnvN7wlaUD4StLuJErdlYUosF4s44hKwqanXKUM3NQdAJYagKPTOZpOycFrnjqRm5+ZHdcsO922R2Zk5aYD8ZCFsTubZ5Yau2rHaRHshK4+qttTU9Jd2ZURmEqLVlxolaR9Z1yeDQoPT39UpnR7uKLVsklUiq91SnL82LUjEUiE2LL06Yq93HELJaE+UTCXhi1VUzIfJNa2ZGVbIQyjpvtFoGtrHM28d53bYWEl0Z/HEM57cWR2wOFqeu3Bb6Zv1DX/AdCgvi5rHVhK0tLS3OS+1K9S6mnZjHuVKNsh0SIAESIAESIIHVTQCXFxS21m6OKWytHUtaIgESIAESqB0BCltrx5KW6kuAwtb68qV1EiABEiCBtUuAwta1O/fNNHIKW5tptthXEiABElg7BPAcDSuFrfWZcwi0Evo6cqx4TTgXEqgnAROx2rNxO779MKp95Nvix5EW3vbTovL8fMSxWDkLg9SFv+H0QKaJiiruVDEn8u0fauV1nKrQjGtcjytNiLlVx+HGonUgBFVDEKbCq+vUbFyeGE3L7x7dLbc+Ni63PT4hmXRGWjQ3m1ABazwniWyL2tFjFW3oP6hHs5oukpFkelo6MhPSnxmT9alZGWnLyLCKWocHe2Rg3YD09vZIR3u7wFtrMmleXz2uge9UGA4tCwlOyjovbA2K4rwBx6+qbVWxq0hax5fRCNakjlEJaCo4mVlE8htIdP/z2/kiJhzFpsVtDizMF12RwNpEX2xFw7YfI44yELaCx/DwMD22AgoXEiABEiABEiCB5ieAixy76MHNY7swav6R7ZkRUNi6Z7izVRIgARIggeIEKGwtzoe5jUOAwtbGmQv2hARIgARIYHURwL2f3bt3y9jYmExNTbmHXe36ULGjo0MQciGBRiBAYWsjzAL7QAIkQAIkECaA52ZYKWwNk6nNNkRaFLbWhiWtlCbgPxe35+N2jCOMWvx0P46y4W0/LSrP7Pt5FrfQyvi2LM3KOHGjdTcvzESe/8/V1+MLetGYemyFsDXulKyqDXCi1kCUmlXpZyYbl91TMfnzjmn59f1b5c6tk7JpVMWvKlxNqdVsUlWiEIlmk4EtCCzRPgSkMS0n6tk1PSE92QkZVGHrSGtaNnTGZP1gr6wf6pW+/n7p7u6S9rY2SSWTesxDboqOwwhWLJDLamcXLZaniVrWCVsxTm1X/7uaYAGPreq41XlxTWupQNiqQlwtAcGrW+ZNBRFnS/MxRizz2W5Le4Ixgl9+MfYWWvpKhH6bEK6iX26+lQX2Y4ubx1YKW1diVtgGCZAACZAACZDAihDAhY5duFPYunzkFLYunyEtkAAJkAAJ1J4Aha21Z0qL9SFAYWt9uNIqCZAACZAACVDYyn2gGQhQ2NoMs8Q+kgAJkMDaI2CCIQpb6zP3EGhR2FoftrS6lID/XNyej9sxjtBfbNtC5PlxK1ssLSovql64nG1baHUQIs0JLq27LvQkrfPbWtipTyEZ1X8Qt0pSBZwxFbZmVQSaUVFqRp2uxmUuE5etEzG5TwWt19/9uDy4fUp2peOap6JRiCjhlVVtwZzz/KppMRXDqgFJx9Lapxn11jom/dlxGVFx64j+dnJDd1KG1vfJ4Pp+6e3pka7OTmltbXXeWiHOxDgCb7PB6GLqWXZBRhqk4S9G5ha0jS3ME+q6PE3TvmDRHuGPE7dCq4pigXjVZcOQWywtqBXYy2flCy4EZttSoubD8sJhJWXDdYtto0/WL7RBYWsxWswjARIgARIgARJoegJ2wYOLHgpblz+dFLYunyEtkAAJkAAJ1J4Aha21Z0qL9SFAYWt9uNIqCZAACZAACVDYyn2gGQhQ2NoMs8Q+kgAJkMDaI4DnaFgpbK3P3EOgRWFrfdjS6lIC/nNxE7aaMDBc2o59pCMetUSlW5qFpeqFy9m2hX79RWmhLpnU07o6v61Sz7j6LsUaU/+rkHuqnFU1qWknbk2rQHV6Li6bd2fl7i0T8ut7HpfNu6ZlNpZyItEcvLwmtBaUoKonQODElU7YGpe0zCqgaenK7JZ1uQnZKFPqrTUhI72tKmztl4Ghfunp6nJvC2ltaXHHe0zdqMJTalZdr2JMEKX6gk0b8+LxYkQ6aDfuYHRWDiFsuCztKBgslPVLoZwtrnTBuUUpE5AivqgvSCiyVFK2iJlFWWbTPLYiE2m2/yKcm5tzfOmxdRE6bpAACZBAnQgEnyP+J0udGqJZEljbBOyCBxc7FLYuf1+gsHX5DGmBBEiABEig9gQobK09U1qsDwEKW+vDlVZJgARIgARIAPd9du/eLWNjYzI1NaWvaoxLe3u7e7iIkAsJNAIBClsbYRbYBxIgARIggTABPEfDSmFrmExttilsrQ1HWimPQPi5uIkCke4vdtwjLZxXKC2cHlWvVBm/XZT1F9+eH18og3OVt4Vzl7pYVeljIGqNJXUwuqq0M5tTaavz2pqVmXRMJmZEHtiRljufGJebH9wiW8dnJZdokYyKWjMqQI0n1HOrilFVTKD1zWOsemxVcWs2O61eXKekB8JWmZS9ErPqrTUlG/o6Zd1QnwwM9klXR6d+/2yTFhW2mjATY3D8YQ//PE+kGIU/RotbiPxii8PgwyhSuFybRUwsyaq1Td+ezwnp/j5MYeuSqWACCZAACdSPgJ2c3a8g8Mmz8NMJfFbOb6OcK1O/rtAyCaxqAnbBg4seCluXP9UUti6fIS2QAAmQAAnUngCFrbVnSov1IUBha3240ioJkAAJkAAJ4L4Pha3cDxqdAIWtjT5D7B8JkAAJrE0CeI6GlcLW+sw/nvPTY2t92NLqUgL2XBzXnfiO5IsCrTTKYLFj39L90MoUSovKR1k/3Y/7eeF0Py8cx7Ytfj2LQ9aaUwFr4HJV3a7mdIXwBp5SXV5MJudisns6J7c/Pi63PzYqf3psp+ycykgipcLWTE7S6awkk3GJw2VrNhC25iBChSdXrJlJSWQnpDc7KoPxadm7NSsbettkw0C39A/0SV9/j3Tojynb2lollUrNC1uNvfU/LNi0dITz48nPjZ8XFbfyUXl+Wrnl/DrlxGtpN2wrzMk4otzs7KzOVVLosbWcWWIZEiABEqgBgfBJOsokRa1RVJhGAuUTwHFmF+4UtpbPrVBJClsLkWE6CZAACZDAniRAYeuepM+2KyFAYWsltFiWBEiABEiABMongHs/FLaWz4sl9wwBClv3DHe2SgIkQAIkUJwAnqNhpbC1OKdqcylsrZYc61VDwJ6L+8JWEwaG7dmxH5VuaSgTXizNwnA+tsN5/rYfD5etJM/VVfGqynfVO2tcNagJFaPGA++o6oVVvcdJLJ6Qsbm4bJ/Mym8f3C7/t3mnPPjUpEymRVLJFsmqqDUzl5ZkIi4JLZ/Teu6fOmvForJWScyNSyo9Jn25MRlKzcpenXHZONAlG9b1SW9ft/T0dDtRa6t6a4XoEh5bsWAs/nj8dFcgX8biCK28hX5eVLyccuWUibJdLK3WNn17vsdbpGP/xYI4hK34ocDIyIhy75HW1tYVdRIY004sPSKKkWLeEgK1QlgvIV2t+oeBl+rjctsqZX8J/EoSdE/HydCW+bYWkixrcYizpi7+2ObrBlkN99fvayN1bk9yCzPBiTidTrvV8vCBhxUnZaTh5I1wT/a7keaPfSGBSgjg2MFxhpXC1krIRZelsDWaC1NJgARIgAT2LAEKW/csf7ZePgEKW8tnxZIkQAIkQAIkUAkB3PehsLUSYiy7JwhQ2LonqLNNEiABEiCBUgTwHA0rha2lSFWXj+f79NhaHTvWqpyAPRO35+II7Rj3rYXTsB1ewmmltq2+lbPQ0hFamoWW52/7ccv36y6JQ9yqxxnErSKBsDWuw9EjTzcTslM9tj4xkZbr79oit27aJVtV1TqrWsmU5uUyyke928JbK45VOH91wlZos3RDpa7SMjMq7XOj0h+bkPVtGdm7v1VG1vXIyGC/9HR1SWdnpwosU85bKzQ+punBOGwsloa+22J5FobTbbtYGK4bVbacMlH1iqXBZj3sok03DzoXWNCGvw+bx1YKWx2e5vqDyYw6ECoaRf48lVWXzP6OUpGNiMK2My+7fyHbZhfJvm2kGw8/PVS9+CZY5EWkxQsGudZeVFnrD/KWcNV2cFJEOsrNzc45hfns3Kx6uA5cY6MeRI1tbW1ObY6LHn9cvn1T+KNOeCnWx3DZWm3viTZL9t3m1mNfsk6VBTB+LDZfto207du3y+233y633nqrPPzww+6mK8StVgbz3N3dLfvss48ccsghcsQRR8iGDRtQVctgnwj2GWybfcS5kAAJLCWA48ou4ilsXcqn0hQKWyslxvIkQAIkQAIrQYDC1pWgzDZqQYDC1lpQpA0SIAESIAESWEoA934obF3KhSmNRYDC1saaD/aGBEiABEggIIDnaFgpbK3PHoFn+RS21octrS4l4D8Tt7gd41Ya21jCoeX7eZZmZW07qoyfVqx8OM/f9uN+W8Vt5ySjAi+IW9VFKwQ0ksiqSFWS6sU1KU/OZOWR8Tm57rbH5TYVtk5k1akcclFcRa05/S6JBTW0gsb0nBgDI7Uay0jH9G7pUmHrYHxShrtE9hrslOGhflk/uE662jukQ7VcqZaUOq5LuGPd9DsYC1bbRhu22DgtDKfbdqkwXD+qfDllouoVS4PNWts1e+axFe0jzfQdiM/NzTkHgRS2FpudBszD5I2Njcm3v/1t2bx5sxPvVNpNO5BMGPm6171Ojj766ErNRJZH/3DC/NOf/iQXX3xxVTu39c8a6Ovrk8985jNL3DijHBTaN9xwg1x99dUVt+VOVHqeAocDDzxQTviHE6S1rXLXxRizLTjItm7d6sSLmzZtki1btsiOHTsED7Omp6cFAiH0GQegv8KG2cG44EI5lUq5EPH29nbpUvX/0NCQ7L///nLQQQfJAQcc4ASw1jbqwYbx8+NWpl4h9smf/exnTrhp40BbfrxebReyaxxa1AX46aef7n45YWmF6iwnPdgNgn0BotV7771Xrr/+ernrrrsE+8Ljjz/u9gfccMV+EGaDfmKOcVLeuHGjPO1pT5NnPOMZcuSRR8rhhx/u9n+/f/Uci98O4yTQbARwbNmFu134NNsYGqm/FLY20mywLyRAAiRAAkYAn/G45sZ3rdHRURfHd6bBwcFF3xutPEMS2FMEKGzdU+TZLgmQAAmQwGongHs/FLau9llu/vHhewvure3cudM9NxoeHnbfWTo6Otzzn+YfIUdAAiRAAiTQjATwHA0rha31mT08w6ewtT5saXUpAf+ZOK49sW3HuF8aaVgsDMejtqPS/PrIx+Kn+fEgdyE/nOdv+3GrF2U78M8aiFpVy6riVi2FY07Fq5lsQj2zJuXhUdXqPDUjv7nvSbl3y5hkcnAmKOrPVbVUuYxWUnGr4oDYFSv+q9pV/8xpOCe9s+qtNT0mwy0zMtIdlw3ru2VIvbUOrlsnnW3t0gYtF97GrMJWE2Va/xH6Oh5LD4/Ftv18pJWzlFOnnDLltGVl6mnPdIvghnZM34E4ha02A00WYvLwJfhTn/qU/OQnP1l0kih3KHYgwRbEk+9973vlnHPOKbd60XKwCeHmD3/4Qzn55JOLli2ViX5ifdWrXiU//vGPl6jdkYeHRBdccIGcddZZVYt8cWHxile8Qi655BInLDQ+pfrn51911VXym9/8Rh588EF54oknnPh4fHzc9Q83LuxDBKEdiIU+VGDX+gDX1TiQ7VX1ELnCs2d/f7/stddecvDBB8vzn/98Oeyww9w2xJH+YuJdP61Wccy19RMeST/5yU/KT3/60/kPS+ShzJ5Y0Db4gh0ecENcCoG0nRRr3ScbJ/ZHeGa98sor5de//rUTtO7atcvdvMK822LlbRuhsbQ45rqnp8cJXF/2spfJG97wBnnBC14guOmFsn553w7jJLDWCeD48i/io463tc6okvFT2FoJLZYlARIgARJYKQK4tqawdaVos53lEKCwdTn0WJcESIAESIAEChPAvR8KWwvzYU5jEMD3FgpbG2Mu2AsSIAESIIEFAnhuhpXC1gUmtYzhGT6FrbUkSlvFCPjPxHHtiW07xq2ePSu3MJyO7XBeuWXC9cLbvm0/z4/7ZazdqDTUies/VVA5QWtGBamZWOB9NaHi1el0XMZnEnLHtmm5fcuk3PbYTtn81LTEYypAVYMJeGRVYWsup29WVjVrVr21ZuHxNdjSYFZFr9MyODcmQ9kJ2dg2JyO9SRke7pF1gwPSPzAgHS1t0pZqlWRqwVsrjnn0zcZkWh7Mhb9YPtIsbqFfrli8nPLllCnWRlReLW2GbRkvhLY/owxWClujZqNJ0nCRARHmBz7wATex1XQbAj/sCBC2HnvssXLZZZdVYyayDjyTnnHGGXL22WdH5pebiB0X/Tz//PPlPe95jyTiCaeWR78h2NRdWaampuQb3/iG8+iK9EoXtAHR6JHqFfOKK65wolGklbtYm29+85udd054LvVfMe/6GrLnp1n9qPasH355K2f9hsjVhK4vfelL5bjjjpNDDz3UiTlNxGl2rG6tQvQLK9rZtm2bEzJDbI0PTGuz2Phq1Y8oO2gfK9qHEPTPf/6zDOgHjTGJqrOcNMz5o48+Kt/73vfk8ssvd95Z4TnK/7AqxcL664c2DnhyhZAZ4tYTTjhB9t13XzcW5HMhARJYTADHml304HxU6thbXJtbYQIUtoaJcJsESIAESKARCOAznsLWRpgJ9qEUAQpbSxFiPgmQAAmQAAlURwD3fihsrY4da60cAXxvobB15XizJQ81gHMAAEAASURBVBIgARIggfII4LkZVgpby+NVaSk8v6ewtVJqLF8tAf+ZOK49sW3HOGzac3IL/Xb8ND9eSRmrZ6FfF3FLt9BPC8ex7S9Wx0LkQaKaVKGqalJV1CqSVrEqdGPxHEStMdkxkZPfbRp16yb13PrUVFYSWliVZpKIqSM6iFqzc07QmtNjNaP2UD8Bj60qapXMpIxkJmSDTMnenVkZ6WuRQRW29g/0SW//grA1kVSJreqksKJ/fh9N44O58BcrYyHy/LhftlC8nPLllClkv1A6bNbDLtozXoijDX8fprAVVJpwsR3mlltukaOPPtp5Bq10B8KOgTp2oL3whS+Um266qWY0cBH07ne/24llK+2b3wn0E8Lbhx56yL2aHXlIswW28ZAIwtZTTz21qgMJ9mohbD3qqKPkf/7nf5yoM6qf4X5bmSg+KGvpFrf6hdKR39nZ6V5jc8ABB8hHPvIRefWrXy3w+lkvMafNA0IIW//xH//RzTk+MLFY393GCv+xtjF2eGytp7AV4urrrrtOPv/5z8vDDz8s8NBq82TDtu3wPFo+QstDiJO1bVsZbMODK7z0fuITn5C/+qu/EnjoDZez8gxJYK0SwPGGYwgrzkd2/K1VHssdN4WtyyXI+iRAAiRAAvUggM94ClvrQZY2a02AwtZaE6U9EiABEiABEggI4L4Pha3cGxqdAL63UNja6LPE/pEACZDA2iOA52ZYKWytz9zj2T2FrfVhS6tLCfjPxHHtadv+83E/bhYszUJL90M/z49HlYnKtzQLUc+PR22H08Ll1TWiClSTKmzV85h6a81CqOrOaXHZMZmTx3Zn5DcPPiU3P7xLdmWSMpVRz6oQvqrhOLy7qsfWbFbrqKdWCFuz6jtR/6owNi1JFbUm0xMykpuWjfFZ2ac7ISMDbbJuuFd6B3qlq6/XeWttTbZoHyBqXXC2h377C84Dft8tbiHK+nG/brF4OXXKKeO3UU75csr4NiuJg5XxQjvYhxFihbAVmsGRkRGnlYL+DWVXaolpJyp3r7lSvWvwdoAOYs83vvGNcscdd7iJrabLtoPst99+cttttzlh5HJ3AvRtfHzciSr/8Ic/zAs9K+mf34cDDzxQ7r77bifO9NPNHh4Sfe1rX5PTTjutag4Qtr7yla+symOr9eNI9fh64403VjVes1GLEIwwnnXr1slLXvIS58n2sMMOcwd7LewXsuF7bLUTTaGyK5kOHvXw2GqnL9w8veCCC+TCCy+Uxx57zD1cr+f4bH5xzH70ox+Vt771rc4TLfoTdXzUsy+0TQKNSgDHg120U9i6/FmisHX5DGmBBEiABEig9gQobK09U1qsDwEKW+vDlVZJgARIgARIAPd+KGzlftDoBChsbfQZYv9IgARIYG0SwHM0rBS21mf+8cyewtb6sKXVpQT8Z+JwBGFaHYThBce9v9i2hX6exf08Px6Vb2kIrSxCi1u+v+3HLd+vvyQOb636pm+IUeFvNaHeV3PqbXUul5DHRrNy3445ufH+7fK7h56SdEuH5BLqKM6VxVvBtV/un4toDCFEr2kVts5I+9yEdM6OyXBsTkZSGdmnr11GBrvUY2u/dA10S0dPt6RUi5VKJLU8JLaVLf5Y/XglVsqpV04Za9PKWmjpywkrtYVzJlbUs9X2a+zTcPZHYetyZmQP1cVkPvHEE+7V71dccYWbXHTFJrucbllZhBBBXnPNNfL8579AP2QrPfyWtvbUU085r5Jbt26tSmzq9+21r32tXH311W6MSA8vFLYuJuKzwwEOUecnP/lJ+dCHPiRtbW3z3lujWC62VNnWWhS27tixQ774xS86USu8tuLkalwrPVmXS9vsI+zv73eC7ne+853S19c333a5tliOBFYrARx/drFDYevyZ5nC1uUzpAUSIAESIIHaE6CwtfZMabE+BChsrQ9XWiUBEiABEiAB3PuhsJX7QaMToLC10WeI/SMBEiCBtUnAhEMUttZn/vEcn8LW+rCl1aUE/GfiJmxFWlivUmg7nI4WykmLKmO9s7xwGGXbyljdcJlwfuBpNZ4Xq6qnVfW+ivHO5uKydTwjj+yck9v+vF3u2PyUzGVU+ppRDY+KI2Mqfg1krUFLi+yqJ9dcPCut2Rlpy0zJumRWhlrjsqG/U9av65F1Q/3S2dst7V2dklRRa1LfGg1V3VL1WmA76q/fnh+PKlsozepZWKhcuelmx8Jy65UqV6k900DBLupitf0a+zQ8tm7YsIEeW0uBb7R8TCRed37eeefJWWed5bpXzc5hdXp7e+Xss8+WE088UYWPqm6v5AgMwcEX9XvuuUcOPfRQt7NZG6FiZW3iNfLwxHr66afPCzLDFSlsDRNZEDiDHxaERxxxhPzyl7+U9vZ2dyG1tNbyUtaSsBUnUQhZ4TH1oosuWrKf48S7nP2+2Ez4thHH3OI88K53vcudyIvVZR4JrBUCOP7sYofC1uXPOoWty2dICyRAAiRAArUnQGFr7ZnSYn0IUNhaH660SgIkQAIkQAK490NhK/eDRidAYWujzxD7RwIkQAJrkwCeo2GlsLU+849n+BS21octrS4mYMcyvhtBAIhrT6zYRh4WX19itS3PQktHWE5aOWV8W1bewmLt+WX8+HwdaHF01Y4GYlUVrGZ0vHOqW901lZFtY7Py8JadsknXybFJmZuYlNjsrEgm7UwEXlpd7+a3swkVwCbjkohnJBVLS29LXPrakzLU1y3r+nulTx3OdXZ3SVt7R3Bsx9XDqPp7LVdW54/Dj7te5OfJdaaMP+H6UVXKKePXq7S8XzcqXqk97KO2oC5W03pQ2GpkmjTEhcaVV14pxx9/vBtBpTuHDRs7SWtrqxx33HHy7W9/e/7E5u88VracEDvW5ZdfLu94xzvcSbOcOlFlrP1rr71WjjrqKApboyBFpBk32x+wjRXbULFfd9118sxnPrPm4ta1ImwFR+zj73//++W73/2umwGfNeLGO2J6apIEMavfZmdnp/zrv/6rHHvssdLV1VWTNmiEBJqZAI4Pu9jBxbsdL808pj3Zdwpb9yR9tk0CJEACJFCIAD7jcV2OtyiMjo66OH7ENzg4KEl9HZD9yK9QfaaTwEoRoLB1pUizHRIgARIggbVGAPd+KGxda7PefOPF9xbcW9u5c6fgDYfDw8PuOwvetAfPQ1xIgARIgARIYE8QwHMzrBS21oc+tAIUttaHLa0uJhB+Jo5rT6y+sHVxjQXhqv/83I+XU75QGT/dbIbDYmWi8izN7CyoSYPzGNKzqlbN6DqTzsr0bFZ2jU/KrtFJGRsbl+mpacmlVS+g3x9Vi+oWraJLfgNR6CpjOYmr59aEZKQ1FZO2lqR0d7ZLp163d3R2qaauXVItrVoGzueCKotswE6JZX4M+XLh7RLVXXY5dcopY21VUtbqFAsrtYfyOGf6C9JsP8YzILypnB5bfUJNELeJRXjzzTfL3/7t3zrvrTg5VbqYAA8frH/xF3/hPHriy3R4x6nE7qyq3U899VT56le/6k6YldS1stZ+T0+PPPTQQ+6V65ZmZSykx1YjER3aHCMXD3f3339/J4KEWBjzjsX2KbdR5Z+1ImzF/g0vyeecc457eA52e3LB/GLdd9995bLLLpPDDz98fl73ZL/YNgnsSQI4Lilsrd0MUNhaO5a0RAIkQAIkUDsCuLFBYWvteNJS/QhQ2Fo/trRMAiRAAiSwtglQ2Lq2579ZRo/vLRS2NstssZ8kQAIksHYI4DkaVgpb6zPneHZPYWt92NLqYgL+M3HcKzcxYCFhK8pjsTAcd5neHytnoZc1H43Ks7RwOF9JI+XkWXkrG2xjDHoOw4aOJ6OqVORD3IoFEsl0ek7mZudkTAWu09Mz6tFVU4MKqOItgZ24JsZhSb2/qkRWYvDemoirkLVFRZWt+oO0Vt1OqUdXaOm0DawwiMbKXBaPYWH8ZVafLxa2M5/hRcopg+LllvNMF41Was/K45xpC9KwmtbDhK0jIyOCN9HDaadf3urVK4xpZxbtMvVqaDXaBTpM1v333y8nnXSSXH/99UVV94UYwAZs4YP1kEMOkRtuuMF5fFzOjoCTJcS2//Vf/+WarXaaIcI88sgj5Re/+EXRX65S2Fpodhen25xirvfff3/5zne+Iy972cuc2NXyFteobGstCFtx0rz6/7ta3n782wX7XbX7dmVki5e2YxjHC+bzkksukX322cedH9y84iy78DlQ3BhzSWCVEMCxaRc7+ExqhGO1mdFS2NrMs8e+kwAJkMDqJYDPeApbV+/8rqaRUdi6mmaTYyEBEiABEmgkAhS2NtJssC+FCOB7C4WthegwnQRIgARIYE8RwHMzrBS21mcG8Iyewtb6sKXVxQTsmTiuOf3VjnGURtxf/G0/HlU2nBYuX8iuX8/qWFioTlS+b2ehHs5fKkB1YsiYQIrqRK3qCDKmXlcTEJ0iX7enpmZV4JrREkld1c0qBLHzODSuKcEfiFpnNa66AvyLqxE1FEvgzXD5NZZQ+/G89EZrVqHBiRpjVBq6VWwpVadUfpTtaupE2fHTyrVpejUrb8JshHgGBOec8NhKYatPt4nieHUJPKN++ctfdickE7lVOgSI4p7xjGc4Yev69eudKK5SGyiPHQ071mGHHSb33HOPExZVYwd1MJbTTjvNrXiVZKGFwtZCZBbS7UQAjnNzc+7AP+igg+TSSy+VZz3rWUWFwwtWisdWq7AV+7QdV7fddpu8/OUv1w/AKbevg4idXIvTqW+uzS9CnA/e/e73SGdnR9XHcX17S+skUH8COC4pbK0dZwpba8eSlkiABEiABGpHgMLW2rGkpfoSoLC1vnxpnQRIgARIYO0SoLB17c59M42cwtZmmi32lQRIgATWDgE8R8NKYWt95hzP7ClsrQ9bWl1MwJ6Jm6gVWi0TBdpx7tdAmr/4237cyoTTwttWDqGfZ/FwWKh8uL6Vs/q2beVUCRAIW/VYw5BQLqciSKdHVf1qXMWp6mlTtVFZyWYwZrzJOq9ERXn9N7+4+ip+zc1pEnL0H+zqKipkVdGNC1Xm6v4tqjtvpHSk0FhK11xcIsrO4hIBj3Base1ybBarH5VXqU3TZKGerVHC1hb1ogt940ot9NhaA9K42PjRj34k73vf++Yntxqz2Eng5fGqq66S5z3veVUL4rCD4VXtBxxwgGzZsqXqPtlO+7Of/UyOOeaYojsmha3lzbgxRWkc6BC5vuhFL5Jvfetb8uxnP7vqObfWV7OwFWPcuXOnO86uvPJKJw72eRqDPRH6/cC8dnV1ydVXXy0veclL3AUz8rmQwFojgM8iCltrN+sUttaOJS2RAAmQAAnUjgCFrbVjSUv1JUBha3350joJkAAJkMDaJUBh69qd+2YaOYWtzTRb7CsJkAAJrB0CJhqisLU+c47n8xS21octrS4QsOPYfyZuwlakId9fwtvIszQLC5WPyvfrl6oXru9v+/FCdiwdZTGqjIZOB6PHGgSsqmrVscB3K7RQgT7GDd/90cT5UKOuVJ4Nqrp/KBKkxXKmr4Gg1RVeCJ2pvLQ1byJfomhgtlHIjxetVCCznPpWxsICphYlV1J2UcUiG+Xa9DVNqGMr9uOwx1YKW4sAb7QsTCQmFyJSiNj+/u//3ontyt0xosYzNDQk5557rhx//PEu2995osoXStu1a5fstddezqslylTTJ7QNkd6tt94qBx988JoSthp3m2PjXA1Hq2s2bT5su6enR97xjnfI6aefLoODg8sStzaisNXG2dHRIX/+859lYGCg6L5kvMIhbj5dcMEF8tnPflZGR0fns83+cuZm3tgyItYPM3HcccfJhRdeKBh3eD+yMgxJYDUTwH7vX8Tv6WO02VlT2NrsM8j+kwAJkMDqJEBh6+qc19U4KgpbV+OsckwkQAIkQAKNQAD3fnbv3i1jY2PuWQSeJ7S3t7t7ogi5kEAjEKCwtRFmgX0gARIgARIIE8BzM6wUtobJ1GYbz+4pbK0NS1opTgDHMa43/dWekfvPx/24WbQ0Cy0dYTjN3/bjViec5m/78bDtcF4he369bF6MquImpztV36quv/DYigQcf9CcYg1KoEI+BYEuTpo6H7c0ZAQ1XE2X70q6GiZyRZ/zWUHFEn/DYwxvl6i+KLuculbGwkUGCmxUUraAiSXJldo0zZPV8/dpiFk3bNggvb290trauixd25KOlkigx9YSgMrJxqTedNNN8va3v102bdrkqthEl1PfL9Pd3a2vMH+3E7fiJlA1C9r+3e9+Jy972cucqMidNNxJojJraH/vvfeWP/7xj7Ju3TpX2XbksKXV5LEVQsT99tvPCTBxsQOeGN/27dudB1yIi8ABH0ZYquVrdVEfnE877TR59wnvVk/awU8O0G4h3q7hiD/LEbb6bfltI17t4tvEjUwcH/39/WUJW/0+gPUDDzzgBN//93//534RUKt+FRsb+m/zXKxcOA/1sB/99Kc/lVe/+tUu22cRLs9tEliNBHCM2kU7LnqWc8yuRj6VjonC1kqJsTwJkAAJkMBKEMBnPH6tu2PHDvfjM8Rx3Y8f7OHtFNV+p12JvrONtUWAwta1Nd8cLQmQAAmQwMoRwL0fCltXjjdbqo4Avrfg3hreCLd161YZHh5231lwDz+VSlVnlLVIgARIgARIYJkE8NwMK4WtywRZoDqezVPYWgAOk2tKAMexCQB9b634rmTPx+14j2q4VJ7VMVuFtpFerEwledZGMZuqZoL21C3OY6tKTQNtDdI9YavGTfgKOWugSEUQiqslZ1NLu38mU1K+QaUgIRfDuTNo12zlt+aD8FiRUW7avJEikShb4eJWxsJwfni73HLheqW2y7FbSMuE/dn2aYhZKWwtRbvB8x966CEnTPzRj34UeUCU2318iT7yyCOdB1g8CCy0AxWzh5MFvL5+6lOfcn0pZ0eNsoeHkO95z3vkvPPOcyK9qDKWtpqErUcffbS8973vlQMPPFA6OzvdgQpR6z333CO33Xab8zr64IMPClZja6HxKDe0+bV5/9p5X5ODnn3QoupWZlFigY3lCFvtobONpZJ2C3RnXvQLW21tbfLII484wXC5tq0v09PTzlPrd77zHffr/+ADsVCrxdPRdl9fnzz72c92N7BwAkY7+NKA4/jee+9dIma1fhS3vJCLNrBC1HrNNde4eLljXrDCGAk0NwEcNzhWsVLYuvy5pLB1+QxpgQRIgARIoPYEKGytPVNarA8BClvrw5VWSYAESIAESAD3fShs5X7Q6AQobG30GWL/SIAESGBtEsBzNHtGjbeV4gcYeFPwyMiIwBkaRJl8vlz9vgF2FLZWz481yyeA49jukyPEiu9JdoxbCIuI+8e1n+e3iHQrH5VuaVbOtsN1ovLLKVNOPb/NIB6c04K4J2y1gjjneXFE86N0qfkh50vkFbOugP6xTIha8yXmgyUJS0WsUeMpN22+nVAkqn6oiJvvcFqh7XLsFaoblV6pPX+/NHsQtc7NzblxQFe1ceNGwRvJ6bHVCDVBiB3BJnd8fFwuvvhi+ehHP+qEkNV2H/YOOeQQufbaa2VoaGjefiX2cJJ83eteJ7/85S/dSbOSulYW/cAH/U9+8hN5/etf77ztIM/Ga+UsXE3C1jPPPFNO/seTpaOzY368mGusOGg3b94sN954o/PGefPNNzvvRJWeFIwbQmMKsSUEtfDcCkGtpftlS8WXI2z1+/L0pz9djjrqqEUn2mrG6I8BrqnPPvts6erqqmhsaPeWW26Rd73rXU5cjAsB2K2mPxDvHnDAAXLMMcfIG9/4xnnxMo6ZXbt2yR/+8Af5wQ9+IL/61a8Ex3Q1bfgc8aUDto444ohSU8d8Elh1BHD84NjCiuO22uNp1YGpckC+sBU3NnCeNg/Y/rm2SvOsRgIkQAIkQAJVEcBnPG5uwGMrXj+LOD22VoWSlepMwISt2Edx7YTv3/i+hptwuPfBhQRIgARIgARIoDoCuO8TFrbCCyZWXBdyIYFGIIDvLbi39tRTT9FjayNMCPtAAiRAAiTgCOC5Gdawx1Z4xKOwdfk7Ce7/UNi6fI60UJoAjmO7T457j/Zc3I5xP4Q1e66LdCwWuo38tp/mx60Mwqj0cFp4O1wvKj9cBttYCpUNcoO/fpl5vWkoEgw7P3arnGeBzVBxNOxKLZG0OoexgQB2UbueLWcvtF1Jmms44o/fXkS2SyqnjF+30vJ+3ah4pfbC+yW2oY/DigWODPH5RGFrFO0mScMNHHhmfOc73im7du8q66COGhp2jmc+85lyxRVXyHOe85yqXt2IL+h4tT0eLla6s1qfIACEAPGmm25yni3Nm6flh8PVJmyFQBk33/yDF3HjiQ+k++67T773ve/Jj3/8Yyd2DTMptW32rA2EL33pS+WLX/yivPzlr3Bta1JFSy2ErejHm9/8ZoF3VBtvRZ0oUtiY2pgLFUW7KIMQ+/NnP/tZ1x/cJPXzCtWPSjdR60knnSRvf/vbnXAcabBnNlHvzjvvlK9//etubnHRgWO72gX23/CGN8ill14qEPZyIYG1RADHFY4frHYBv5bGX+ux4lyImxtPPPGEOy9CpE9ha60p0x4JkAAJkEClBOyGHR4QQ9iKz31c8w8ODrofR5b6HllpeyxPAtUSwD0LvIkF3+Wx9Pb2UthaLUzWIwESIAESIAGPAK7/cM8WTgJw7wLiAVwPYqWw1QPF6B4lgGtA/FAc14NPPvmkrF+/3n1nwX6Kt+lxIQESIAESIIE9QcCeUZuwFU6Y8HkFj3i4b4HrqlLP1PdEv5ulTbCjsLVZZqu5+4lj2e6Tm7AV35PsGLcQo0TcjmvE/cXftriFhcohvZ5lrF2/DcRtDJZvoZWz0NIRBsNdGHN0mYV8qxuuZ+lRodm0sFgZ5BUrF1XX0sqpFy4T3jZbflhOGb98OfFSNgvNJdIpbC2HcJOVuf76653HTbzOHDtHqR2k0PD2228/ufDCC+VVr3pVwRNCobq5bE62btvqXNRjR6umD7bjoh8YE0SypR5IrjZh68c+9jF3860g5+Ds6QStF110kfPWu2nTpqp4WxvgjovU97znPU7ICaW7zYWVKRXWQtiKNo477jjnudRvr9K+oK7tf6iLeLk2rB5s3HbbbfLud79bbr311nl7SC93sTbxcP3DH/6wnHjiie7GFepbnm8LFx3333+/fPrTn5arrrrKXYT4+eXGzTbmEWPYd999y63KciSwKgjgOMZFO1YKW5c/pXg4hM/axx57TKampmSfffZxv4jCl3IuJEACJEACJLCnCOBzHjc3cOMdn1P4XMIPJNetW0dh656aFLYbScCErbimwrUpPJ/gTSn4ASKvpyKRMZEESIAESIAEyiKA60H8wAmCDHzGQiSI60EKW8vCx0IrRMAXtm7ZssX9WBwe/CG+prB1hSaBzZAACZAACSwhYM/RcM8CPxLC9RSurShsXYKqqgQ8q6ewtSp0rFQhARzL+C6Ea05bkRa1mmnsn8i3JSrup1k5hH66H6+kTLheeLuQLb9908NYWbNhoaVbGE4vtV2onqWHQ7NnYTgf2+G88HZUnai0cur5Zfx4lD2klVOmUN1C6eXaDM8l7CHNF7bizWf4fKLH1kK0myAdOwSEd6eccooTg2K73J0kPDy47z3rrLPkH/7hHyKFd+Hy/jYudu655x557nOfO59caT+wg2J97WtfK9/97nfdL1ejduT5BjSCC66vfe1rctppp7kLLj+v3HgymZRXvvKVzlstHjKVajPK7pFHHik33nij++CIyi+VhjbPOOMMKSVshR2b40ceeUS+8Y1vOHErHuguZ0H7GMM555wjL3zhCytmsFxhK/qOPsCj6Q9+8IPlDGXZdcEXfTnvvPPky1/+svsldaX7so0H+xa80MLz60EHHeTsmv1wR5GOCw6Iut/5zndW1S76bQtO8P/yL//ixLl+uuUzJIHVSgDHEj6TsFLYuvxZhggDglYIW3GDY2BgwD0kKvXDk+W3TAskQAIkQAIkUJiAfc6Pjo66mxwQMeDGBryK4xqcn1OF2TFnZQngngU8C+Mh0fT0tOB7GlYIGShsXdm5YGskQAIkQAKriwDu//jeWiEUhPMGCFvxqkIuJNAIBHBvEvfW8JZDCFtxHYj9EyuFrY0wQ+wDCZAACaxdAri3hmc/uF+B6yr8ABdaEWglcL+Cz5ar3zfAjsLW6vmxZvkETF9iolZ7Lo7jG3m2FrKIfFssbqGlIwynhbdrWcba9dvw45Zv5yjLs9Dyo/pkeX5ZP2754bp+GWvXylqehZbuh36eH/fLlBMvt66Vs7CU7XLLlbJj+ZXaM6aohzhWCFvhSRwLvjvh8wnf9/F9yspbe/UMY9qphaOkni2tctvAuHnzZifAu+CCC5acVCoZPsQqH/jAB5zAstydwXYuhL/61a/kNa95TVV9sPYQfulLX5L3v//9zouJpRcax1oTtvq88YGE19d/4QtfkJ///OfzB3YhVsXSwRkng0998lNy0gdOcg+Di5UP560mYSu4bt261R0LV199ddVcwfTZz362fO5zn5NjjjnGfSEwbpH7tZ4Rs7msu8kFgfHXv/71qoXSaAcXzP/v//0/wRhwso9s0zrEkARWEQGcJ3EcY7UL+FU0vBUfCi4cIcLAeR6eUOzGOwVDKz4VbJAESIAESMAjYJ/1+D6IBTc1IGzlzXcPEqMNQQBCBgiwzQMKvqfhOgpCBl5PNcQUsRMkQAIkQAJNSgD3f3C/Ag9xIcSAR3RcD+K+Bba5kEAjEMC9SeyjcEwCcSv2Wyx4IIsf5HEhARIgARIggT1BAJ9HWHHPwn6Eix8H4U1ICHG/gs+Vq58ZsKOwtXp+rFk+ARzHJmpFiGtP3De3Y9zCKIvI8xfbtjAqD2ml8sstU6hcOD2qPZTxl0JlotL9ND9eyF5UGTs/Wp6Fvg2Lh/PC21auVFhuPStnYSm7yK+k7ErYA1/fYyuFreVQb/Ay2Mnwaxp4OIW3T1MtV9Nt/Kr5TW96k3z/+9+v+GIF/Tj//PPlIx/5iGu60p3fDn5cLF177bXOa2g5v1hdy8JWMMOH02WXXSZnnnmm85hbKXdMFuxgxQUWvIvCc+wBBxxQ0T6wWoStxu/f//3fnZfV++67r6oTuTGF59XTTz9d9ttvP2fH0gsdn2gfc3rzzTfL8ccfL5s2baq4fbRhy9DQkPziF7+Qww47zCX5eVaGIQmsNgI4jkzsguPJjuvVNs6VGg8Y4uJx9+7d86/3Q9s8n6zUDLAdEiABEiCBKAL4fMeKzyh8j8GPNOG11X7Qxc+pKGpM2xMEcFMZD4kgbMVq16fYb7mf7okZYZskQAIkQAKriQA+Z7HgGhDPFfAjJzxToGBwNc1yc4/F7lHCGx6uBfE8C8/w+COn5p5X9p4ESIAEmp2A3VfDtRTureHHQVjxQ6GV9obX7Cyj+o/7PRS2RpFhWq0J4FjGcWwr7juGha3YtsXuRaKeLX4caVHb4TSrW6i8nx9VxvJ9u348Kj9sJ2os4TJmx0K/DT9u+eH6hcoUKm/pher56X7c6hULKylfr7LF+ufnVdJ+uB7mFSs+m/C9CXEKW31KTRzHyQheGT/0oQ/Jo48+6k5WlQ7HdhB4eIT3T1y8IK3Ugp0S5dCH973vfXLRRRe5ONLK3WGtLD7gDzzwQDeW/fffvyzvJWtN2Bo1H08++aTzCvqDH/zA3Rgpl7tvy+b6Oc95jhPJ/t3f/Z3LtnS/bFR8NQlbwe/UU0+Vb37zm+6X1FHjLZUGbiMjI07UesIJJzgvAXaslKqLcvDCfMopp8jll1++qHipufXnC2XxcP/ss89254Zy21/UIDdIoAkJYF/HZxJWEw404TAapsvgCY64eMRFJLZ5PmmY6WFHSIAESGBNE7DPfFwD4+aGiRj8a+I1DYiDbwgCdk1qN+P8aynuqw0xRewECZAACZBAExPA5ywWCFmxwlMrPIzRK3oTT+oq67pd+0FsgHtrCHGfjZ7wVtlEczgkQAIk0IQE7L4arqcgZsV1lP3wgvcrljeh4Edh6/IYsnZ5BHAcm6jVrjNxTNs1qMULWUM5f7FtC5Hnx6O2S9X38y1eyqaf78etfqHQL+vHw+XDef62H/frWbp/frS0qHLF0sL1wtt+3ah4OeXLKePbrrS8XzcqXok9Y2p1sI176VgRp7A1inATpmGC//d//1c+8YlPyI033rjk5FLukLBTHHLIIXLJJZfIwQcfXFLYajsW7CP+spe9TH7/+987MVG5bVo521lf97rXybe+9S3ZuHGjZRUNKWzV19frhxPEyJ/TV97fcccdy5r/vr4++ad/+qd5z7s2L0UnQTNXk7AVrwU66aSTBF5bcQFQzYIbU8cee6wTCUMsXC5Hawu/3v7hD3/oBKnog9X3jzkrGxWiPMriJP+Wt7xFLr74YlfM7ETVYRoJrBYC2PdxXsRKYetqmVWOgwRIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgAQamwCex1PY2thztFp6h2fivrAVcXtOjtDWqPEiz19s20LL87f9uOVbaHkWWnpU6Jfx4yjrb/txPy9K8+KX9ePh9sN5pbb9ds2WaXFs28Kwraj0cJnwttUpFJZTvpwyvv1Ky/t1o+KV2rP5tHrYprA1imyTp2GCH3zwQfn85z/vxHA24ZUMy3aWpz/96fKVr3xFXv/615f9y2a0Nzo66ryt7tixY9HJptI+QJyLFa+SLGehsDU4ucNT70c+8hG58sorq+YP3rjIguddiFvxGnvbL0rNxWoStsL78WmnnSa33XZbVSzBDILSk08+2Xl+xWsbKl0gyLv55pvlXe96lzz88MPzYvFyj230AWUxn8973vPkhhtukO6u7mA+SztirrS7LE8CDUUA+z6FrQ01JewMCZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACax6AnhOT2Hrqp/mhhggnolDzAoRIEI4fMIzcqT7KzqL7fASTgtvh+tF5VdTxvrh2/PjUfnhdnwdk1/Xj5sdC8N54e1wG1HbZischm2Ft8O2ovLDNqO2y6lXThmzXUlZq1MqrNSmzSXqYcW2L2xtb2+XDRs2SG9vr/MwbuVL9aMW+THt0NIjpxaW16ANnJwgKD333HPly1/+cuRJqRws2AGGh4edsPSjH/1oOVVcGZwk77rrLnnJS14iU1NTbkezHa7UNKNNlIGHS4Tf//735U1vepNg5yxnobA1oIQPKQiSzzvvPNm6dev8PmB8y2GJspiH5z//+fKFL3xBXvWqVy2ay2I2VouwFfvyKaecIhdeeKFg36p2Wb9+vXz2s5+VD37wg2ULxP22cCxA0PqZz3xGfvKTn/hZFcfh/fjSSy+VV7ziFVX1peIGWYEE9jABHD8Utu7hSWDzJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJLDGCEBzQWHrGpv0PTRcPBOPErb64lZ0DeXCSzgtvB1Vr1SZqPwoO1FpUXX9ND9uYwlroaLKWNlwXni73D6ZPT8M2wpvL8e2306UnXB+uWUqKRfVRrG0qPEXK295qGd1sV9jhX4NTgWheerp6aGw1WA1Y4jJhWL5W9/6lhPlzczMVD0MvIr+ve89Ub70pS+pjUANXcoYdqj/+I//kOOOO07Qtp1ALCxVH+Ww9vf3yzXXXCNHHHFE2QI8ClsXPohuv/129+r6m266ad7DZyn24XzMQ0dHhxO2fuADH5BUKhUuErm9GoStOI4gEP/whz8sl112mTtp2okzctAFEsEQIu8zzzxTjjrqKLdvFyhaNBl9Of/88+Vzn/ucK1dNX1ARxzTEup/+9Ker7ovrAP+QQJMQwLFCYWuTTBa7SQIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAKrhAC0AhS2rpLJbIJhmGdLEwLaM3I8Lw/rSyrdxvD9On7cR+On+/FCZSzdL+vHLR+hn444ji9/8fNLpYfLhrdR30/z477tqHi4bHh7ObbD7UXZ9suUyq+2rF9vuXG/jzanJsiGbTh2NGGreWylsHW51BugPiYeotBPfOITcvfddy864MrtHnYYiBrf9ra3yb/92785G7YTlbIBISxe346dy98JS9VDPtqA0vrII4+Ub37zm3LggQeWU82VobBVMegPLMB8bHxMRcnvlZ/97GdO6AymOPgrWWwuIIKEGLK7O//6+hJGVouw9Z577hF4K7722msr3o8NERgef/zxznsyPCCXewxZfQuxb//whz+U973vfS6p0uPK7OAXDG94wxvkkksuKVswbnUZkkAzEsCxYhftuOip9thpxrGzzyRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAnuGALQBFLbuGfZrsVXos2ZnZ51OC3F7Rh6lE/KfmftxcAtvR6WVKhOVH2UnnFZOPb+Mr7/x02EXSzlp1ZYJWlj8N2wrvB3Vp6gyi61Gb5VTr5wyUX2KbrH2qdY/C20+sW1p2Jeh84DmjcLW2s/BHrOICYag9fOf/7xcfvnl8xNebodsZ0kmk3LMMce415/jA7fUksuqKj4ekxNPPFG++93vuhNmqTqF8j/1qU/Jxz/+cRkcHCxUZEn6Whe22oENMDiwTz75ZLn44otlYmLCCSr9/CXwQgnYB1AeIby1nnrqqbJhw4ZQqejN1SJsveqqq+T000+XP/3pTxWLgkEG7CAO/9jHPiZnnHFGNKwyUzGf6A+E5vCEXMlc+k3A6+5f/uVfyi9+8Qt34rdj3S/DOAmsJgI4VuyincLW1TSzHAsJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJNC4BPIunsLVx52e19cyErfDciufi9oy8kLA1SnNSKi0qHxz9dD8ezgszt7IWhvPD9YuVC9f1y/pxv5yf7setTDjN3w5rbfy8cL+j7IXLW5lyw3Lqo0w55azNSspaneWGfpvG1PZZ5GFfxr4NYSv0V9Ct0WPrcqnv4fo26aOjo3LOOefIV77ylaoEprbDvPzlL5dLL71U9t5777JH9jd/8zdy3XXXOU+hZVfKF0S7WOGtFSK+rq6usk2sdWGrDwoH+ve+9z0566yz5OGHH67oZOXbwcnhr//6r+XMM8+Uww8/3M2Nnx8VXy3C1nPPPVf++Z//WTAeLHZsRY05Kg37MU6q8HgLcTBYLmf57W9/KyeddJLcfvvtFffF2sWF8xFHHCHXX3+9wHsrFxJY7QRw3NpFO4Wtq322OT4SIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESaAwC0AtQ2NoYc7EWegFBq3lsDQtbw1oXf7tQPMzMylno50elId9P9+OF6kaVCafZNo6vQouVQb4fD2+H88yen+7H/frVtu/biGrP0soJw30L1ymV75e3shb6eSsdRx+sH77HVgpbV3om6tSeTe7U1JR8/etfd4LE6enp+Ukvp1kI8CAEwoF48MEHO3Hsa17zmpKiRtu5Dj30UMFr3LGDVbqgTbR/xRVXCASyLS0tZZugsHUBFeYPc3DCCSfI7373u4rmf8GKuLk46KCDnMDzta99bcl9AHVXg7AVXm4/+clPOoE1WGKxY8ttlPnnWc96lvOc/Ja3vKUsdoXMou37779fPve5zzkPytanQuWLpaNPP//5zwVhsQ/bYjaYRwLNQgDHDo4XrBS2NsussZ8kQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIk0NwE8CyewtbmnsNm6r0vbIVWy39OHta62LaFGKcfD4/b8iwslO+n+2X9eCVlwvXC21F6F7+MH0e7pbbDZYqVj2q7VP1wftQ20spZwn2LqlNOGauHspWUt3q1CK1dY2p9QWgeW3EupbC1FrQbyAYm9zvf+Y57hfyOHTvme2Y7xHxCgYjtMCMjI+5V6h//+MdLi+ByIlue3OI8e27ZsqWA5eLJELXuu+++zkvsi1/84tJteuYobF2AgXnGrzHe+ta3yjXXXONExuXO/YIVcfy7u7udSPr44493F162b/jl/HizC1vBCV5u4WkVAmsI4jDmcvn5ZV/0ohfJ2WefLa985Ssr2pd9nhYHV4jVv/jFL5bdF6vrh/C+/NWvflXe9KY3LduLrG+XcRJoRAI4bilsbcSZYZ9IgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIYPUSgG6AwtbVO7+NNrKwsNWekSOM0rr4aX4c4wpvR6VFlTEmfp4fj8qPsh2V5ttBvJRuycpbaG37oeVZGJVnaeEy4fYt30KrZ2FUup/mx61OqbCcOuWUsXYqKWt1lhv6bRpTf5+lsHW5hBuwPibdJvtXv/qVE7b+/ve/dycef4co1nXfYyteV/7Od75Tzj//fPehW6ieNqttZOW///u/5c1vfrPs2rWrUNGi6Wgb7Z1++umy3377zY+laKV8JoWtC5RsPzjxxBPlRz/6kcADabnzv2AliGFOIKb84Ac/6BTw2L9sHwuXxXYzC1uNEY6ZU089Va677jo3RIzX8qLGXCjt6KOPlnPPPVcOOeSQoswK1ffT4YX5oosukpNPPnlZnicHBgbkwx/+sDvGMLdcSGA1E8Bxaxft9Ni6mmeaYyMBEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiCBxiEAjQGFrY0zH6u9JyZsRYjn4vaM3BcJGgNf++LHkR/eLqeOlQnXL8dWuI7Z8uv6cb98Id2SlbfQbPqh5VkYlWdpUWWQ57dvZSy0ugjLSYsq49sIx8spX04Z326l5f261cTD7ZkuC+mWR2FrNWSbpA4mefPmzfJP//RP8v3vf39+0m3yiw3DP/ggfHvjG9/oBHWdnZ2LDsywDZwQv/KVr8gZZ5zhhJTh/FLbaBcf7N/85jflbW97m7S3txdtL2yPwtbFRDDXEGeC586dOxdnVrCFeTnllFMEXnsHBwdLevlsZmErsIDbf/7nf8ppp50mt9xySwWkgg8u1Ldj6Nhjj5VvfOMb8v+zdy/wmo11//ivPHMyDkNRgxyikEIZoteDvHRAQng6SKcn/ckhZiaM0zBOjUOEpJJKyKPoQBmH6lGiVKSng6To14OSn2N4ZTD857vmd23rXu6973Xv073ve79Xr7t1utZ1Xet9rXXveb32x7VXW221lm6tGop/gERI+WMf+1h68skn+97pVtdVz0dYPfp18cUXD7lP1brtExhrAvE+5n+0C7aOtdHRHwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQK9KZDzL5GBMeFUb47xWLqryJMsXLiw+GvOdYOt8bv08lLdb3auWZmhHIs28vV53azdcrl8Pudy8n65TLO6crnyufJ2+fpmZcvHmrXdzvXluvJ2O+tqv5tdW6dMvi6Xzet8fLTW0W42je38iWc5PvE9GhnCVVZZJU2bNi1Nnjy5r/xo9PFFizvU+LaMRqs93kaQPvPMM+nkk08u/hR6zPbYDnN+YOIH7Nvf/vZ03nnnpZVXXnnAByPCQx/60IfSpZdemp566qm22ovhiDZXXHHFInD3tre9bcC2mg2fYOsLVWK20FNOOSXdf//9LzxZ80iMy0c/+tF0xBFHpDXXXLPluPRCsDVCn/PmzUt33nln289xsIZZfCKgfc4556Tll1t+8cGa4P0Ui/c53q0Itj722GOD6ldUHe/0Vlttla6++upR/7Lv59YcJjBiAvFzT7B1xHhVTIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAE4HIC5ixtQmMQyMiUA62RrYk/4481rHkvFg8l7Gd93Nnqvv5ePnaZmXqHGtWplxvdTu3Xb6uvJ3PN1uXy+XtuOdY8n51uzhZOV+nTK53sNeX+5PrqLtudW2r8+V2ymXL2+Uyg91uVV9+HqP+7BnX5E812Lrqqqum5ZdfftSzToKtg30CBrguPxznnntuMYPq3//+94aXdIBLG07Fg7PtttsW4bx111234Vx5J9qLL8e3vOUt6ac//WmxXT5fZzvaetWrXpW++MUvFsG7/NDWuTbKCLa+UCpm6z3qqKOK2XtfeLbekRiHd7/73UXQc7311uv7Munv6qEGW/O4v+9970sXXXRR8dzGsXjG8rq/tvs7HtfFD+yB/kuoXH/UEbPcxszD991336Dfm/gvBCIQ/OnTP50mTJzQX9dqH48v7G9/+9tFsPWhhx4adL+iwc022yxdc801xX/JkL1rd0RBAl0kEO91/kd7vEOxbyFAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBICsTv4QVbR1JY3WWBHGyNdQ4Dxu/J4/fj+ZOzIdXfmef9vC7Xm7fL58rbcb663+xYqzLNzlfbHqhMszbzsVb3ndvJ5cv75e1W7Vev7698+Xh5u9xWq+0619Up06qd6vmos916+yufxyWvc7nYz+1EDjE+EyZMSFOnTi1mbBVsrY5KF+/HQF9++eXFn1T//e9/X9xJfhAGuq38kESZ2N5kk02KmV8j4JqPFRul/4t6I1gaM0H+5je/Kb4oS6drbUZb2223XTHD6IYbbljrmnIhwdayxpIfHgsWLEgzZ85Mf/7znxtPtrm3/fbbFzP/brzxxiMabI1nID7xAzaehZg1dbiW+KKbMWPG4uqijf5rjWc5Zro9/vjjBz0zatzDCiuskPbff/8iIBv7Q13C5IorriiCrTEDb513udpm7ke809/97nfT9OnTW45ntQ77BLpJIN4TwdZuGjF9JUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIND9AvG7ecHW7h/HbrmDcrC1OmPrQNmSfC6vm91v+Vx5O8pW95sda1amXK6/81Emlnw+r5ccff7/2z2er6xeV93P5WI90LlcrlymvJ3PV+vpr0y5fH/bda6tU6a/+psdz/XldbMy1WN1yuYcU7Nry8HWZZZZpsg4CbZWpbp4Px6QX/3qV8WfkP/+979f60Wr3m48QGuttVZRx1577dVvCC7aeuCBB9KWW25ZhCgjSNTuErNpHnzwwWnWrFnFw9ju9YKtjWIxBjfddFMxa+gf/vCHxpNt7MUzEON6yimnpC222KLllUOZsbX8hfXSl740bbDBBg3Pbfl8y45UCrzkJS9JX//614tneKB64ovxhBNOSCeddFJauHBhpZZ6u/EsR/9nz55dPNNx1UBt1qn1uWefS9+78ntp3333TX/7298aXOpcn8tEP173utelb37zm8W7PdR+5XqtCYxFgfjZJNg6FkdGnwgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAj0rkD8Hl6wtXfHd6zd2WCCreXQYXm7fG/l4+XtKFPdb3asWZlcf5wb6Hy1vmZlmx2rXpfbK6+r11X3W5Wt5mzK15e3+6unvzLl8gNt17k+l8nrgeqre66duuqWzZa5fHlfsLXuyHRpuRj0CBkefvjh6atf/eqgZ1GNtPN+++1XzGAZgb38EJVZoq3/+Z//STvttFO69957i1P5oSuXG2g70tVnn312ij9BP2nSpIGKNj0n2NrIEmGu2267rfD87W9/23iyjb0Y85jh8/TTTy9m5G116XAFW+M5a/cZ6q9vcQ8ve9nL0j333NP0+c3XRXuPPfZYMVPsmWeeWQTi8rl21tHeGmuskebMmZP22Wef4tJm7007dUbfrr322mIW2LvuumvQNtGPjTbaqAj5rrvuugN6tNM/ZQmMRYF4bwRbx+LI6BMBAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB3hWI38sLtvbu+I61O2sWbF20aFGRK4nfmcennFmJ/bzk7bzOx8vr6rnyfnk7X1M9Vt2PctVj1f1cV7Vsf+WaHc/Hmt17PtdfO+Xj1T5Uz+X9ap3V/Wb1NCuT6xtoXee6OmUGaqN6rp36ctm8rtaVxySvc7nyvmBrVa0H92OQY+bJ+NPqjz766Au+GOrccvyw3XPPPYvQ6bLLLtvwZZevj+DQBRdckA455JD04IMPFofzQ5fLDLSOB/OVr3xl0cZb3/rWpm0MdH2cE2xtFIox+d///d+02267pVtvvbXxZBt7EdJ8zWtek84444y07bbbtrxyqMHWeBbys5PXLRttUSAHW3PoOn8RVi+L9u677740d+7c9KUvfal6uvZ+tBfPc9QT705/7dWucHHB6Nt1112XDjzwwCKwPBSbDTfcMF188cXpta99bTtdUJZA1wnEeyLY2nXDpsMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEulogMgKCrV09hF3V+XKwNbbz78hjXc6WlPM4cYP5XF43u+nqufJ+ebt8bfl4ebvdMlG+en11v1mZZsfK996sjmbXxLG89HdNPh/rcpnydi5TPVbdz+VaretcV6dMq3aq59upM5fN62pdsZ+zVOWxKW9H5jGe54kTJ6apU6emVVZZJcXknJMnT+67tlm9w33sRYtv4vko+HDXPs7rC9pLLrkkHXvssemOO+5oeInaodl5553TZz7zmbT66qs3fTiinYMOOiidf/756fHHH2+rnfygvuUtb0nz588vZgfNx9rpo2Bro1aMSYQ0YxbdW265pfFkG3sxFq961auK0HGMUauxGUqwNboV9Q/3V0IETadPn15rxtY777wzHX300cV7E/0ZTF/iHjbYYIPivYtgcSuzaKfOcv3116dZs2YVQeXB9iuui0BrBNFf//rX12lWGQJdKxDPe/5He/4v0rr2ZnScAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGuEIiMgGBrVwxVT3TyqaeeSgsXLixCgBEGzL8jz8HW+L15ObdSzpuUtwOjuj+UY3XqqlOmWR/qXBdlyvddt54oF0u5jfJ2O3WWr1tS65L/b3a82bHyNeXtumXrlivXPdB2u/W1Kl+2jLJ5P7arM7YKtg40Ml16Lgb65z//efEn0X/yk580vHTt3FLM1PmpT30qve51r+t7iMrXR0J6u+22SzfccEPxRVk+12o7P5R77bVXOuKII9Jaa63VtI1W9Qi2NgrF2D/04EPp7Tu+Pf3iF79oPNnGXozPmmuumc4555y0/fbbtxyboQZb2+ha7aI52Hr33Xen2O5vCbPf/e53RbD18ssvL4rFsbpLWEX5WG+00Ubpk5/8ZNphhx1amtWt/6c//WmaPXt2MZ7t9Ktaf4Ruv/zlL6fNN9+8eso+gZ4SiPck/6NdsLWnhtbNECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBizApEZEGwds8PTcx2rE2yNm86ZlgxQzZ1U96Nc3WPVss2uq1NmsNcNVHfcd/V8s/2i0P/7v2o/qvu5zmo91XLV/Wr53GazcvlcdV23bN1y1fr722+3vrrly89ldo1ryzO2LrPMMmZs7W9guvl4DPRf//rXNHPmzHTFFVc0/cKpc3+bbrppEdJ761vf+oLi0cZDDz2Uttlmm/T73/++OF/34YzC+aGMWWXjz6wvu+yyRfgwH39Bg/0cEGxthIkxePTRR4swagRb2xmTck0xDi9/+cvT5z73ubTjjjuWTzXd7vZg680331wEW6+55pri/gbjFmYRAj/55JNTnVlum0I2Ofizn/0sHXLIISkCroPpV65y/fXXT1/84hfTlltumQ9ZE+hJgXhPBFt7cmjdFAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIExKxCZAcHWMTs8PdexcrA1JibMvyOPdSzN8iXVY9X96nXNzlfLxH4s1bLV/WqZZueLigZRV7XuXE95+0V6AABAAElEQVR13azNuseqdeX9fH1e5+OxrnusfE1/21FXs/qala9brtm11WODqWuga5rlAuNYXBOfPGPrxIkTk2BrdTR6ZD8G+vHHHy8CoxdeeGGKGevaXeKhiT9Ff8wxx6Q99tijL4ia64k2/vSnPxV/8j7WscSxukvUv9JKK6XTTjstve997+sLtUYdzR7i/uoVbG2UyWMfs6zedNNNfS9+Y6nWe3m2089//vPpHe94R8sx6eZga/xQj/Do3Llz049+9KMCp51nOS7IX7IzZsxIp556ahH4buc5Lhpt8n/RjwgoH3bYYenHP/5xW+9YtboItn7hC19IW2+9dfWUfQI9JRDvTf5Huxlbe2po3QwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBMSsQGQHB1jE7PD3XsYGCrc0yL9Vj1f0Aqh6r7jcr0+xYneualYm6YimfK28vOdt4vlo+l2m2rtZV3W+nrmrZunU1K9esr+Vj+Zq8Lp+rbtcpU71moP1262tVfqAsVVwr2DrQaPTQuQjznHLKKemMM85IETps9eBUbz0epOnTp6c5c+YUAdnqgxX1RXByzz33TP/n//yfturPdf37v/97mj9//pBmkBRsbRy5GJcw2WGHHdKNN95YjEu7Yx81RrD1ZS97WRGEHA/B1htuuKEItv7kJz8pQNs1i2c6rolZjiOsvdVWW7UMAzeOXP97v/zlL4tg63XXXdfWe1atcb311kvnnnuuYGsVxn7PCcS7KNjac8PqhggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiMaYHIDQi2jukh6qnO5WBrrJvN2Fq+2WoGprxf3h7omjjXrGz1WHW/2XXNyuS2y+fK283q6e9Yrqu6LtdX3s7lqsfK+znr1qxsuVw+H+tmx6vHqvvl68vbdcrVKVOus852O3XWLZstc/nyfgRb43mOGVvjr7+vssoqafnll0+TJ08ethxWnft+0eLO1Z/es06NyjQIBO/3v//9dPjhh6dbb7216cvScEFlJx6amNJ31qxZad68ecXDUX6QYvuyyy5LM2fOTPfee29xdRyrM6y5nr322isdddRRac0116y0Xn9XsLXRKvxjtt7hmLE1B1t32mmnxkaa7HXzjK3PPftcMRvqUXOPSj/96U+Lu6vzHDdhGPZga/Tj5ptvFmxthu0YgX4E4r0RbO0Hx2ECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBEZEILIwgq0jQqvSJgIRaH3yySeLEOBAwdZq/qW8X96uNlE9V92P8tVj1f1qmWbnq2ViP5Zq2er+klLNy+Vc2kBl8rm8rtZf3c/lyutWZfo7Xz5e3i7XXd6uUybK1y1XrrvVdjt1tlO2v3bjWY5ne8qUKQ3B1kmTJgm29ofWbcfzg3LfffelffbZJ1155ZVFyKdu8DTfb8za+ZGPfKT40+rTpk0rHpCoO9cfs8GefPLJ6f7778+X1FrnH+YRuj344IOLZHWtC5sUEmxtRImx+ec//1kEW+NP2Ee4azBLjH3M2Pv5z38+9XKwNT/L1//4+nTkUUcOKthafq9ixtZPfepTxayo1R+UgxmH6F/M2Brvyo9+9KNBj2e0bcbWwYyAa7pRIN4bwdZuHDl9JkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQINC9AjkLE+HWyFxYCIykQA62VmdszTmYaLu8Xd2vniv3tXquul+3rvJ15e2B2qpbd66jXG95O2d2yseqdTero78yuWxeV+vNx/O6zvlWZaKuOmXqtpnLtbMeyfardceYLVy4sAi2Tp06NS233HJFdi1mbBVsbWfUxnjZPPCRzN93333TJZdcUgx8u92OB2bnnXcuwqvrrrtuX7A113PQQQelCy64oAhSRptRPredyzRbR7l44E444YR04IEHFtvNytU5JtjaqBRhrocffji9/e1vLwKRcbbOmDTWkop/ZK222mrpc5/7XNpxxx2rp1+w39Uzti5+dm+44YY0d+7cdP311xf3NhizuHCzzTYrgq1bbbXVsPyXAtGPCCjPmTOn6Ntg+xV9e/WrX52+9KUvpTe+8Y2xayHQswLxngi29uzwujECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECY1IgsjBmbB2TQ9OTnYoAYOTCItgaf7590aJFxe/Jq7mS8n5/21WgOuXKZeL66n71WLPz1TKxH0u1bHV/Sakl/189l/fjfYwl7y8p/cL9umXy9XldrTcfz+u65+uWy/X2t25VT3/XtTreTr3tlI12o3z5mhizeJ7jE8HWmIQz/tq4YGurUerC8zHwEew55JBD0nnnnZcee+yxtu8iHpjNN988HX/88Wnbbbdt+C9K4gtxt912S9dcc03bodmod5111kmf/OQn03/8x38MKQAo2No4rDHu9//j/rTjO3ZMt9xyS+PJNvbivx5aY4010jnnnJN22GGHlld2c7A13pObbrqpCLZed911xb2Wvzhb3vziAvFMxzUzZsxIp5122rDN2BptR98OPfTQInzbbr/KfX/Na16Tzj///BSzyloI9LJAvCeCrb08wu6NAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwNgTiNyAYOvYG5de7VE52Bp/vj0HW+N+q9mSgfar57JX+Xh5O5/P6/K58nY+H+vy8fJ2u2XK5fN2ub7ydj6f1/lcXufj5XX1XHW/XDa2W52vls/7+brqOp9vts5lm53Lx+qUyWWHe91O27lseR3fn/HJM7Yus8wygq3DPUhjrb54AL7whS+k+fPnp//93//tC9+1088IoB577LFpzz337Lss6n3ooYcGPStohCZ32WWXot4I2w1lCnbB1r5hKTZibGKsd91113Trrbc2nmxjL8bkla98ZTr77LPTW9/61pZXDiXYGl9MsUTfY7u8btnwAAUmTJiQXvrSl6Z77rmnKJXbKV8SbcXn5ptvTkcffXS69tpr+37w5L6Uy/e3neveZJNN0kknnZTe/OY3F/fSX/l2jt94441p9uzZxQy80dfBLDGe8a5deOGFaeONNx5MFa4h0DUC8Z4ItnbNcOkoAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgZ4QiNyAYGtPDGVX3ETMaplnbI1ga8zaGr8nzzmYgW4iZ0/yulnZ8rnydrls+Xh5O5epHqvu53KxLp8rb1fP5XzOQGXK9Vavr16Xy5aPl7fz+ep6oDIDncv15DJ5nY83W9cpE9fVLdesjf6OtVPnYMrma2Jc4yPY2t9I9ODx+MKKWTv333//vj9LHw9Bfijq3PLKK69cBP6ijvzlEPX+9re/Te9///vT7373u6KauvVGuQgcxp9WP/LII9PkyZP76q3Tn2oZwdZGkRib22+/Pe2xxx7pN7/5TePJNvZyEPKMM84oZuttdelQgq257ng24h958Uy084zm68vrqCssVl111XTHHXcUz1gca7ZEW2EVwdbvfe97RduDaT/MIjQaMxFvt912Q3quy/28/vrr06xZs4qg8mD6Ffcd12200Ubp4osvThtssMGw9a3cT9sExopAPO/x/scn/qu0wbw3Y+Ve9IMAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAge4QyJmHyD1EfsBCYCQFItiaQ4A52Jp/P97qd+T5fF4362f5XHm7XLZ6vLofZcvHytvleqrlqvvl68rZn/Lx8vZAdfdXrnq8ul+ts9rH6vm619ctV62/2X6duppdN9CxduocTNl8TYxrfPIzbcbWgUalR87F4EfwMwKoV155ZYovsljiQcgPxkC3GuWWW265IoB68MEH9/3gjWsXLFiQDjrooHTXXXcVdbVT54tf/OI0b968dMABBwzUfK1zgq2NTBHk+tWvfpU+/OEPp9tuu63WODfWsGQvxnPGjBnp06d/Ov37lv/eMgg52GBrtBNLfh7XX3/9tP322/ftL+nN4P4/LKZNm5aOO+64lv2P8OvcuXPTpZdeWjSW+9NOy3EvMSvqCSeckHbeeeeWbdat+7//+7/TgQceOOTxjNDtJZdcktZdd91h61vde1COwGgKxPsr2Dqa4toiQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQCAyA2Zs9RyMlkBkwHIIsBxsjd+VxzJQ7qV8rrxd7nv5eHm7XKZZO83Klo+Vt8t1NTve7Fj5mvJ2lG1VvlWZ6vXl/Zxvym2Wz5W38/lW63xNrPP2QNcMV5mB2mh2rk67+bp2ysY11fJhnJ9pwdas2uPreAjiz5h/5StfSf/85z+LhyIehOrD0Ywhyk2aNKmYXTVCfzHTal7OPffcIjB477335kO11+uss05x7fve977a1/RXULC1USZ+QEUQMmbYjbDmUJatttoqnXrqqWnzzTdvWc1gg61RcX4eYx3PxIUXXtjWc9pf53K9rf5LqHgX4jmeO/fo9NWvnl9UV+f9qLYb7a233nrpmGOOSe95z3uGJzz6XErXXHtNMZ45RF5tt85+9O11r3td+uY3v5nWWmut4elbnYaVIdABgXh/BVs7AK9JAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAuNYIH4vL9g6jh+AUb718oytsf3MM88Uf9E0flcevzOPTzyTzZZqJqa6H9dUj1X3y/WWz5W3c5nqsep+s/b6O5brLK/L9ZW3y2XK9dUpUy4f21XLah3V/bhmoCXKl68pb/d33XCV6a/+Zsdzm3ndrEz1WH9lq4ZxXblsnM/P9bLLLltMZjh9+vS0/PLLF/nFZtdX2x6u/Rct7tjiyJZlxAUWK5/1mbPSSSedlP7+978XL1pd+ngg4vOxj32sCKK+5CUvKbob1x9//PHprLPOSg8++GBfnVG2Vd1RJgKTMavllltu+YIXv10PwdZGsfgB9e1vfzsdcsgh6S9/+Uvf2DSWar0X4xQzp86fPz/FTJ+tluEMtl500UXFcxR9GI0lntmHHnqoCKSec845RZOtnuNyv/JzH+u11167mOE4Zswdjv4/9+xz6coFV6b99tsv3X333eVm29qOvmyyySbp8ssvT6usskrf7MttVaIwgS4RiPdXsLVLBks3CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECPSIQPxeXrC1RwazC24jAoBPPvlk3wyXOdi6aNGiInOTcy/xXFbzK3Eun292q9Vz1f24pnqsut+qTLPyuS/5XF7n43kd91M9V91v1n6zY3Wvy23n9WCvK1/frI58Pq/rlBlM2XxNq3W0nz+tysb5Vv1t9izmemPiwjxjawRbV1hhhSLjJNiahXpwHQ/M1VddnWbOmlnM4JkfkFYPUlDksjvttFMRRH3ta1/bJzRr1qy+WWD7DtbYiIcwZuU88cQT0+ovXz29aKmhhRcFW1+Ift5556V58+YVs5C+8Gy9IzH2Meto1BOzkLZahhJszXVHm3vuuWcxY2s+Nlrr+GF/7LHHpk996lPFf8UymHbj2X75y1+eDj744HTAAQf0vT+DqStfE+G8K664Iu27777pvvvuy4fbXoftZpttlhYsWJBe/OIXD0vf2u6ECwiMkkD8fBNsHSVszRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUAjE7+UFWz0MoyEQvxOPAOC//vWvvnDr008/XczY2izYGn2K5zOWnBfL6+Jg5f/K58rb5WLl4+XtKFPdb3asWZlcfz6X1/l4Xse9VM+V9/N2Xufrquv+zsfx/s6V66hTplw+b+frqut8vtk6l212Lh+rUyaXrbuOOvOn1TV128/PYtRXviaOR2A7PtOmTUsxAWdM3hfb8Rfny9e16stQz5uxdaiCNa+PB+DPf/5zERi85ZZbirBPzUuLByIeigi0xgytEXDNy0c+8pH09a9/vfiSzMdaraOuqVOnpgjFzp07N02cOHHID51g6wvVY5bV008/PT3wwAOFb/lL4IWlmx+Jsdp7773T4YcfntZYY42W49TtwdYIwZ188slFgDt+8Ldrlr88V1pppXTQQQelI444oqVZc/nGo/EPju985zvFrMkxO3K7/cq1Rej2jW98Y7rmmmuKdzD3N5+3JtBLAvGeCLb20oi6FwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJjXyB+Dy/YOvbHqRd6GL8TjwncIjP1+OOPpyeeeKIIA0bGJH5XHudb5UuanW92LLzKx/N2XmfPVvv9lcvHy+uh1JWvjXXeLtdd3u7vfD6e1+VrytutzpfLlrfzddV1uUx5u2658jXDsR3tlj+t6sz9bFVuoPMRao3ZhyPQOn369OITM7YOR8ZwoHar5wRbqyIjtB8PTXyZxSypV111VZHYr9tUDr+tuOKKReBvn332KcJ6kfJ/97vfXcz+GNt1l6hvrbXWKkKtw/Wn2gVbn9fPXxBz5sxJX/ziF9MjjzwypGBr1BMh5JVXXrllSLPbg63puZTOPOvMIsD90EMPtfzh9rz6kv+qJezj+V5mmWWK2VVPOumkYj+/Q+Xy7WwvemZRuuyblxXB1kcffbStfuV2og8TJkxIb3vb24qQbGxbCPSyQLyPgq29PMLujQABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMDYE4jfzQu2jr1x6dUexaRtEWiNSe8efvjhIhsWgcB4DvPvzPN6oOxKlMlLeTsfy+t8Ltb5k89V17ls+XizY+XzrbZzmwPVk8/FOgd869Q7UJlynVEu7w90TatzUUeup7ru79ryNf2VGYnj1RmAh9JG+V7zdjyb5Wc2cohxLibhfNWrXlXM2hqTaMZ360DP8VD61exawdZmKiN0LAY8/qT8Oeeck9qd9TEeipjt8ZhjjkmHHHLI4ql9Jy/+k+h/L4Ky119/fd+LVqfrUdcWW2yRPvnJT6ZtttmmziUtywi2Pk8U4xzGe+21VzGbbtjkL4LnS9Xbii+EmPl1//33L2b4bHVVtwdbw+nLX/5yOvbYY9M999wzKLewj9Dohz70oXT22WcPyzTYzzz9TLrk65cUwdbBjmf0KwK373//+4vvgNi3EOhlgXifBVt7eYTdGwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGxJxC/ixdsHXvj0os9it+JL1y4sAizRrA1JnCLmVtjtstYclYo1nm7v6xIPp/XA3nlMnk9UNl8rp2y+ZqB1nXqizL5M1Bddc41a6/ZsTp1Vcu0W0+75avtDWY/2hzOdqv1xXOZn804F1mPyCmut956xV8YX2655Yr8VRwbzUWwdRS1Y+CvuOKKNHPmzPTXv/61aLnuQ5cfngi1xp9XX3bZZdPPf/7zdMABB6Rbb721rbuIunbcccd0+umnp1e+8pV9D2ZblVQKC7YuAYnxDN/4LzLe+973FrPzxn+JUXecy6xRzworrJA+/elPpw984APFF0b5fLPtbg22Zre4p2984xvp6KOPTnfccUffLbbjl9+Vd73rXUWA9MUvfvGQn/H4R8cFF1xQBIzzf5XQ17maG9GvmHX3sMMOK74Dcj9rXq4Yga4TiPdWsLXrhk2HCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECHS1QPwuXrC1q4ewKzofvw+PT2SCYjbNmK01/qJz/BXgyFDFsVjiecz5kLxudoPt5GKq9TarLx+LNtutO1/bbJ3vZ6B76e+6ZsfbORb3kdvN63aub1Y211NdNysbx3K5/s6PxPFoM3+Gs/78XJTrju38/RmTCq600kpp2rRpaeLEibVya8PZv6hLsHW4RQeoLx6IP/zhD2n33XdPf/zjH4uS+SEZ4LLiVDw4scTMnUcddVQRkPva175WzGx511131f4SinoiPR2zRkZgMoKTue6igUH+n2DrErgYz/hEKDNmbP3Zz35WnKg7zmX+GJeY0vmUU05J2223Xa1x6tZga/m+r7nmmuIZv/nmm4t7btcuP88R3j7jjDPSK17xiiF/uf7zn/9Mn//859Phhx9ejG+7fcr3t+aaaxb11B3PfJ01gW4UiPdEsLUbR06fCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECHSvQGQGcjBrtGcX7F41PR+MQPl34jEBXnyefPLJFBOmxe/Kc7Yk51hinbebtZfLNztXPTZQPdWyw73f6j6q7Q1nX0eyrjp11ylTvf+xvl++p9iOT3x3xmfKlCnFJ75TY79cdjTuS7B1NJT/XxvxBRTTTr/5zW9Ov/nNb/q+wOp0IT8YEUg95phj0tprr51OOOGE9JnPfCZFmLHuEvWsuOKK6cADD0xHHnlk8cM81123jmblBFufV4kfTpdeemmaO3du+vOf/9x3op0fQHFRjMs73vGOdNxxx6WNN964qKfVWHV7sDXsbrnlluLZ/MEPftDWO5Khwyist9lmm3TqqaemGTNmDPmL9Z577kknn3xyMQNs1N3uWObxXH/99dOCBQtSBFxbjWW+H2sC3SoQ74lga7eOnn4TIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6E6B+F28YGt3jl239rr8u/G4h5wrycfjmSx/RvM+ow/DueT66mZe6pZr1cfhqqdVO2P1fH6mRqJ/2TaPbW4j78f5/J2ay+YyI70WbB1p4Ur9kcqPP5F+9dVXp4ULF1bONt8tPxTbb799Ov7444ug48c//vHiz6NHqLTuEnVtuOGGi+s4Ie200zv6Liu30XewjQ3B1uexYjrxmFX33HPPLaYajxc9fPML/3zJ/rfyeOy7777piCOOSKuuumpROB/v78peCLb+9a9/TYcddlgRDo77bMctymfr17/+9enEE09M8c60covr+lui/d/97nfp0EMPTddee23fP0D6K9/f8ZiiO0K21113XfFfMwylT/214TiBsSQQ745g61gaEX0hQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0PsC8bv4HMIyY2vvj/dYucP43Xg53xLb+RPPZPkzXH0utzdcddapp267OReT1wPV3arOOnUMVH+dc2OhD/31s1Xf+ruu7vGoP57hvOTnNbcb36n5WC4zGmvB1tFQLrURD8FnP/vZYhbOBx98sOFLrVSs6WY8IBHWmz9/ftpqq63SRz/60XTZZZelp556qmn5Zgfjh3YE/WKm1/gT7cP14gu2LtGOFzqmFt9nn32KYGbd8HJ1rGJcYqwOP/zwdMjBh6Tlll+u1lh1e7A1/B5//PEizPuFL3whPfPMM229I9kx/GJW45g194Mf/GAtu3xtdR19+vGPf5w+8pGPpAjdxn582l0mTZpUzCJ75ZVXDttMye32QXkCoykQ74lg62iKa4sAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgcgLCLZ6DkZToFmGJGdLYh3PZPkzXH1r1m6zuqPt4Vxyu3ndX9253bzur1wcb1VXlKlTT5RrZ6m2W93PdeW28zofH611f/0ajvZz3eVwdmTWyveat/N6ONqtU4dgax2lYSwTD8Gdd96Zdthhh3TXXXfVejFz8/FwxMydn/rUp4pwagRbr7jiihSzwNZdIlz37ne/uwjXLrdcvbBknboFW5coxct+7733pr333ruY3TNmb213yV8CyyyzTDHjaMzaOnHCxMXf0K1r6vZga9xhmJ1++unp1FNPTQ888EBx0/lLtLXAkhJhuNJKK6U5c+akT3ziE4t/Ai4+XsOvWf0Rrv3Wt75VBGQjRN5uX3KdU6ZMSbvttlu68MIL+/7Bks9ZE+hFgXhXBFt7cWTdEwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGxKxB5AcHWsTs+vdaz+L14OUeSMz9xn+Xjde47ri1fX+eaXinTrtVw3fd49Q6/snlsR74jL9VgaxzvhJVgax6RUVjnByKCqFtvvXW65ZZbihkp22l66aWXTqecckrafffdi1lBFyxYUAQBW9WRH64IS+61115FaDD+NHo+3ur6VucFW5cIxRh/5zvfKWYKve222xq+BFoZls/HF8TGG2+cTjjhhCLEHONUZ6x6Idgaht/+9rfTvHnz0u9///vCML87ZaNW25MnT04HHHBAEQ6ePGnyoIOtjz32WLrggguKulq1OdD5adOmFSHbI488spiNN+6pzpgOVKdzBMayQDzjgq1jeYT0jQABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEDvCcTv4QVbe29cx+odxe/Fy5mWnAMpH6vb93xtXte9rhfKDcZrqPc9Hp3LZmXz2M772SWv45rydrmOkd4WbB1p4Ur9+SF45zvfma666qq2ZluNquJBOeaYY9Iuu+ySDj744HTdddc1JKYrzTXsxrWrr756Ouyww4pQbIQnh2sRbF0i+eSTT6Y5h85JX/ryl9ITTzzRxxv2eez7DvazEWVjbGJG3hjr6dOnF+Me18e5gZZeCLbG/f3mN78pQqA//OEPi9uta1e2CcN4T+bPn5/WXXfdlnbla8vb//f+/5s+fcan00knnTTovsSFq6yySjFb6zbbbFP8I7rchm0CvSgQ761gay+OrHsiQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMHYFIlch2Dp2x6eXetZfliWOl8+1yvqESZ0y7dqNRJ3t9KFs0Oq6Tve1Vf968Xx1fPJ+Hou87uS9C7Z2QD8ehEMPPTSdc845KQKh7Szx0Oy///5p2223TSeffHL6+c9/XvvyuPYNb3hDOvvss9OMGTOG9UtRsHXJFM1//OMf06xZs9I111zT8EOq9iAtLhjjtNxyy6Wjjz46zZw5sy8EGc9Nqy+NXgi2xn3ed9996eMf/3gxc2vsx6fdJaw22GCDdOyxx6bddtutpV2z+qPdP//5z8X7evnllxdFBtOXCNmuv/766Sc/+UlaccUVi75EPa3Gs1mfHCPQLQLxjAu2dsto6ScBAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB3hCI38MLtvbGWHbDXfSXIake70Q+pBNtVses6lA9H/tjoZ/N+jUejvU3PmNlTARbR/kpjAdi0aJFKUJye++9d3r44YfbCu3Fg7PHHnsUf6Y+/jx6O3/ufsKECcUMlnHd1KlTh/XOBVuXBFu/9rWvpeOOOy796U9/GpRv/mJYZ511inre+973tvUF3ivB1oULF6YDDzwwfeUrXynel/6+SFshr7DCCunwww8vwsbx/MeSjVtdG4G8KPuzn/0sxTjcc889xbsax+r2JwKtUc/kyZPTjjvumC699NKizrp9aNVH5wmMZYF4TwRbx/II6RsBAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB3hOI38cLtvbeuHbLHQ2UJ5EV6ZZRHJ/9zM/uWHpOBVs78CxGsDUCiJtttlkRlmunC/Hw7LDDDmn11VdPV199dbr77ruL4FCrOiJgF7OA/ud//mc67bTTiuJxbLgWwdaUHnjggTRnzpwUweFnnnlmSLS77LJLOvHEE9OrX/3q1M449UKwNeDiyzJCrfPnz0933nln7SBpFT3CrAcccECaN29emjZtWvV0y/3HHnssRVg56oiAXvQr3sH8ZT5QBeVyESSfO3duOuyww/ouyXX1HbBBoMcE4hkXbO2xQXU7BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBMa4QPyuXrB1jA+S7hEgQKCGgGBrDaSRKBKBn2233TbdcMMNbYUg4wfwFltskZZddtl0yy23tDXj6/Tp04vg5UEHHVR71sq69z7eg60xnpdcckkRoIzZWmN/MEuMbwQwP/GJTxQhyDzLaN26einY+re//S197GMfSwsWLKgV3m5mFJ6bbrppOv7449Pb3va2tp77GMMIjh988MHpsssuazvUGv2JOqIPMXPsd77znbTlllu2FVRudk+OEegWgXj+BVu7ZbT0kwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEBvCMTv6AVbe2Ms3QUBAuNbQLC1Q+MfYZ9Zs2alz3/+8+mpp56q3Yv4AfyKV7wiReAx/jT6v/71r9ohypj98/TTT+8L+EVdw7WM52BrhLciUHrsscem8847Lz399NO1x6TqH2MyY8aMdMIJJ/SNU7XMQPu9FGwN1wMPPLCYuTWer8Eu8a7ETLqHHnpoMWtx3ec+3tFf//rX6Z3vfGfDzMrRrzpLtBNlo/14ZyOIHoH0uu3XaUMZAmNZIJ5/wdaxPEL6RoAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKD3BOJ38oKtvTeu7ogAgfEnINg6imMeIZ8cdotmv/rVr6b99tuvCKeWj49El6L+mOn14osvTmussebiWSOHL9Qa/R2vwdYY0wgXn3nmmemTn/xkevzxx9sevvLYRwjy3e9+dzr11FPTKqus0nYIspeCrQF51llnpVNOOSXF7K2DWcI2lu233z4dd9xxRWg4HxuovhjXRx55pGg/AsuxxLF2l2hr8uTJafbs2UVYOaUXLR7TdmtRnkB3CsQ7I9janWOn1wQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgS6VSB+Ty/Y2q2jp98ECBB4XkCw9XmLUd2KwM8vf/nL9OY3vzk98cQTgwrNtdPhKVOmpF122SV97WtfK/4Uep1wXzv1j7dgaw45xuysP/zhD4s/df+LX/wiLVq0qPCN87nMQI4xDlEuj8c666yTjjjiiPShD31oUH+yvleCrWEWLn/4wx/Svvvum2644YYiIDeQZbNz2TWe/8MPPzwdcMABaYUVViiK5nPV66LdGMd4P2O21gceeGBQbS+11FLFPUydOjXdeOONaaONNuob52qb9gn0okC8S4KtvTiy7okAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDA2BWILIBg69gdHz0jQIBAXQHB1rpSw1wuAj+PPvpoeu1rX9s3G2UcG4klfmi/9KUvTbNmzUqHHHJIEa7rL9Q32PbHY7B14cKF6aabbkrz589PP/jBD4oQ42DGMMYirps0aVIRpDzjjDPS9OnT+4ainbHqlWBrdoyA6aGHHpq+/OUvF+9LH0rNjbJdvGsxa2vM3hqzqMZSPp+rjCDe3//+9zRv3rx0/vnnp2eeeSafansd4db11lsvReh5mWWWadpe25W6gECXCMR7LNjaJYOlmwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgR6RCByAIKtPTKYboMAgXEtINjaweGP0M+uu+6arrzyymKGyBzmG4kurb322umzn/1s2m677UYkXDeegq0xTo899lj6yU9+kj73uc+lq666qgimxri1O4blYOWaa66ZDjvssPTRj360b7bW8vk6z8VwBVvf9773pYsuuqhOkyNWJizjE+/HJz7xifSnP/1pUG1lw1jHDMmzZ89OW221VYqZVGPJ52M72gvDGNdjjz02DrU9psVFi/8vQq3xj+Wzzz578Zj+f4v3X5RPWRMYFwLxPgm2jouhdpMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIExoxAZAAEW8fMcOgIAQIEBi0g2DpousFfGGGf+EH67LPPLQ7QnZNmzpxZBFujxjg3HEvUn+uK7Q022CB961vfSq961auK6uPYcC69FmyN2W1jhs3yEp5xn3/5y1/SDTfckD7zmc+k22+/vXDO1uXydbcjADllypS0xx57pDPPPLMIXA52fIYr2LrtttsWM6W+KC1+TobxUYn7etnLXlbMVFznHsP1wQcfTHvttVe65pprUsySG0tc2655bu9Nb3pT2nvvvdOMGTPSqquu2hdwjRmU77rrrvT9738/HXnkkUU7EcobzJLbWmeddYpnZKml/m1xn+P9jr4PpkbXEOg+gXhHc7A11u2+s913x3pMgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECnBeL39RFsjSxGfCwECBAg0J0Cgq0dHLcI+dx6661piy22KP7c+XCGfuKHc64vtjfffPO0YMGCtPzyyxehwOG+7V4JtobLPvvsUwQpV1xxxeIfOfGn6J944on00EMPpTvuuCNdccUV6aabbkoRhIwlOxc7g/i/+AfVhhtumE488cT09re/fRA1PH/JUIKtOSwa6wkTJqRJkyY9X/EQtnK9UcXEiRPTO9/5zvSlL32peA7jXKslfL/+9a+nOXPmpLvvvruv+GDcc3sRrt16662LmVtXW221IlgeM8J+97vfTb/61a/SU089VfQv2hhMO/kfyIcffnjfzK+57b4bsEGgxwXi3cnB1sG8Rz3O4/YIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBghgfw7+1hbCBAgQKA7BQRbOzhuEfS5//7709prr52efPLJIgA0XN3JYcJYx8yj8afl48+rj9QP7V4Ktr7iFa9Ir3nNa9K0adOKIGaMTcwaGqHKmK01Qo+xxPjlsOJgQ1tx/UorrZQOPPDANHv27L7ZQwf7HAw22JrvY7DtDnRdPHPhE5/JkyenXXfdNX3ta1/rsxvo2jgX10Wo+AMf+ED64Q9/2Off6rpm5/N9xjrqjVDx0ksvXbx78QyXlzify5WP19mO61796len733ve2mNNdYo2qlznTIEekkg3qH8ifuKbQsBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgRGUiB+X1/+jGRb6iZAgACBkRMQbB0521o1R2gyZuu88847i/LDHfyJH9bx59bjT9zvtutufX9WPo4P59JLwdZwaeYTx3JIK2/ncoMZt7g2QpW77LJLOumkk9Lqq6+xuN2hjcpgg635ngdzH616XDYqB1vbCVnHrI/f/va30yc+8YkiYJzHoVXb1fN53PLx3LfYz/deDuLmcu2uo97TTjutCCzHdv60W4/yBLpZIL9T3XwP+k6AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQPcKlDMB3XsXek6AAIHxKSDY2uFxX7RoUdp///3Tueee2xesG44uxQ/nCBVFSG/99ddP1157bRFwzXUP9w/vXgy25lBWtsx25fVA58rlmm1PnDgxbb755unUU09Nb3jDGxaHH5fqaLC1WR+H61h2imDr7rvvni688MK2Zg+OsYh35WMf+1i6+OKL08KFC4d1huPyfeZ3I9rM/S6f7287Xxfnt9566/TVr351cVh59eI+c139Xes4AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECCwREGzt8JMQM1Fed911abvttiuCe8PVnRyyiz+1/sY3vjH94Ac/SBGkzMeHq51cT68FW/N9Dfc6ByUnTJiQXvva16Zjjz02veMd7+gbl6GOz1BmbB3uey3Xl+87B1svuuiivnsulxtoO8Khv/zlL9M+++yTfvvb3xbB1hwYjXUnlzxusV5ppZXSeeedl7bffvvinct97GT/tE2AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFuERBs7fBIRejtscceS694xSvSww8/POyztk6aNCnttttuxQyZEXIdqUWwtbVs/hP3sV5rrbWKmVoj1BqB4xzMzAHJ1rU1L9GrwdbsE7O2nn/++WnWrFnpiSee6EPI5/sOjPJGjFt8Irh7xBFHpP322y+tuOKKxbHct6GO7SjfkuYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQEQHB1o6wP99ohN4i8LbRRhul3/3ud30Bx+dLDH4r6l1++eXTUUcdlWbPnt3Wn35vt1XB1tZiESyO8Y4Q80knnZR23nnnvll0hyv82OvB1lB+5JFHilDwaaedlp5++ukCPvu1HoWRKRHvWnx23333dPLJJ6c11lijeN/imIUAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE6gsItta3GpGSOdj6nve8J1166aXDHmx92ctelq644oo0Y8YMwdYRGcF6lebg4zbbbJPmzJmTYh0ztcbx4hlIiwOQw5CB7NVga1k5vP72t7+lAw88MH3nO99Jzz77bPl0R7ZjHN/ylrekefPmpU033bQY2+hIDrbm97wjndMoAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEukhAsHUMDFaE3s4444x08MEH94X0cuBxsN2L62OG0A033DDdeMONacrSU/pCdoOtc6DrzNj6vE4euxxqjDNLL710ete73pVmzpxZzM671FJLPX/BMG6Nh2BrcEWY9Y477kgHHXRQ+sEPflCEg8vh0dgeySWPcbQR79kb3vCGdMwxx6Q3velNacqUKSPZtLoJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQ0wKCrWNgeBctejb9+te3ps0226zozXCF8iZNmpR23XXX9F//9V8jGmqNTgu2LpmdM49dDrXGeoUVViiCy1tvvXVabbXV0oQJE0bsqRsvwdYADOvbbrutmAF3wYIFhWkcy/Z5LEYCO7cRodZ4b4844oi07bbbpqlTpy6ZgXfxuFsIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoH0Bwdb2zYb9iphc8pFHHk6vf/3r09133903a+tQG4qZI+fOnVuE7oZaV6vrx1uwNYKN1eBkPpZnY1122WXThz/84WKm1k022aSYtTUco1zMOJrLtbJt5/x4CraGy6JFi9Ltt9+ezj777HTeeecV+zncWh2fdhxblY0xjPHbaaed0uzZs9Omm27aN1NrnLMQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwOAEBFsH5zZsV+UQ3r/+9a+05557pssvv3zYgq0RrLzkkkvSDjvsMCIhyjLCeAu2lu89tiPMmAONK6+8ctpuu+3SHnvskWbMmFHM2JpnaY0yeczzulrXUPbHW7A1DCMk/Le//S1dcMEF6bOf/Wz6xz/+URDGufgM55LH+KUvfWl6//vfnz7ykY+kV77ylWnixInF+I/EmA5n/9VFgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBsS4g2NrBESqH4J5++ul0yimnFDOsDlcYb8UVV0y//vWv02qrrZbiT6aP5BLB3DPOOCMdeeSRgw4TRjhwm222SZdddllabrnl+oKi7fQ7rr/hhhuKmTvbuW4wZXPIMdYxO+4aa6yRdtxxxyKgHGHHOBaB1pEOs5b7PtaDrWGy2267pYsuuqjBpXwPg9l+7tnn0uNPPJ5+8YtfpBNPPDHdeOON6ZlnnimexeF4n2IM4zN58uT0hje8Ic2cOTO99a1vLWbhrc68O1Kz8Q7GxTUECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDoNgHB1g6PWA63Rgjve9/7Xtp9992L2VXz8aF0L/48+k9/+tPFVUQobyg1DXxt9DWCrWeddVY66qijigDgwFe88GwODuZga8w2G8fqLtGHCBRG2DDuOTzj+ryOerJprPOS28jHYj9vR2Axtsv7cT7aiWOxPX369GLMPvjBD6ZXv/rVxcydEdCthh1zeyO1zn184IEH0uzZs9M3vvGNvnBvvseRartuvdHHCIbuuuuuxeyq0a/h7FuMS3xi9uAf/ehH6bDDDku333573/sU56K9PHaxHcfyUj4Xx6JcjGN8olyM7xFHHJF22mmnItCaZ+HN11sTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwNAFBFuHbjikGnLILgKYf/nLX9KHP/zhviBerngw4b+YoTVmxvz4xz8+rOHB3Ke8zv1/8skn06WXXprOPffcfKqtddQTfd54443T/Pnz09SpU9vud9Rx9dVXp5tuuqkINN55553p3nvvTY888khfwDXKxJL7nfdzZ/Px2C+HUyPEuPrqq6cNNtigmLHz9a9/fVpnnXXSKquskpaZukxkh4tlcVSzb3vJkdH7/whfPvroo+nMM89MP/zhD4t7zK0P5hnK1w51nU1j/W//NiFts82b0rx58/pCplH/cPYvj2lY3HzzzcVzedVVV6V//OMfDWHfaDOHXWM7rov9GPclff23YrbjnXfeuQgvb7jhhsVMwnF+OPs7VF/XEyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoJcEBFvHwGjmIF50JbaHIzQX9eSA3nDU1x9TtJP7nNf9lW11PIcKh9Lfcn+ivaeffroIez700EPp4YcfLrb/+c9/pscff7yYZTbOx2fRokVFsDbCtVOmTEnLLLNMilljV1pppbTyyisXM7Muv/zyfWMTfcz9HOp9t3Kpcz73oeH+I8Nbf9LbOs0Me5kwzH0fauVRTyzlOvOxGPvf/va36de//nW644470n333ZfiOYiZhmPsY5bdGO9p06alVVddtQgwb7TRxuk1r9mgeB7yWOf6i4b8HwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgMu4Bg67CT1q+wbqAvh/Pq19wY7mvnuuEoO9j+Dkfb1TpyX/K6Gp4tBxbztVG2/Iky8b9iBtdSUDTK5BBlvjavm9Wbz43UOt9brj/3L/ZjuxNLfw65r+U+Dnf/ynXHdm4z9ymO5TJ5HMvnnn02wuFLAsy53HD3UX0ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0Cgg2NroYY8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBDAoKtHYLXLAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQKOAYGujhz0CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEOCQi2dgheswQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAo0Cgq2NHvYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQ6JCDY2iF4zRIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECDQKCLY2etgjQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDokIBga4fgNUuAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINAoINja6GGPAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgQwKCrR2C1ywBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECjgGBro4c9AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBDgkItnYIXrMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKNAoKtjR72CBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEOiQg2NoheM0SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAg0Cgi2NnrYI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6JCAYGuH4DVLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQKCDY2uhhjwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoEMCgq0dgtcsAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAo4Bga6OHPQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgQ4JCLZ2CF6zBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECjQKCrY0e9ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDokINjaIXjNEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQINAoItjZ62CNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEOiQgGBrh+A1S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0Cgg2NroYY8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBDAoKtHYLXLAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQKOAYGujhz0CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEOCQi2dgheswQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAo0Cgq2NHvYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQ6JCDY2iF4zRIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECDQKCLY2etgjQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDokIBga4fgNUuAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINAoINja6GGPAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgQwKCrR2C1ywBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECjgGBro4c9AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBDgkItnYIXrMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKNAoKtjR72CBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEOiQg2NoheM0SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAg0Cgi2NnrYI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6JCAYGuH4DVLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQKCDY2uhhjwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoEMCgq0dgtcsAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAo4Bga6OHPQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgQ4JCLZ2If2CQgAAIlhJREFUCF6zBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECjQKCrY0e9ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDokINjaIXjNEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQINAoItjZ62CNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEOiQgGBrh+A1S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0Cgg2NroYY8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBDAoKtHYLXLAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQKOAYGujhz0CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEOCQi2dgheswQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAo0Cgq2NHvYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQ6JCDY2iF4zRIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECDQKCLY2etgjQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDokIBga4fgNUuAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINAoINja6GGPAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgQwKCrR2C1ywBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECjgGBro4c9AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBDgkItnYIXrMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKNAoKtjR72CBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEOiQg2NoheM0SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAg0Cgi2NnrYI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6JCAYGuH4DVLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQKCDY2uhhjwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoEMCgq0dgtcsAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAo4Bga6OHPQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgQ4JCLZ2CF6zBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECjQKCrY0e9ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDokINjaIXjNEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQINAoItjZ62CNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEOiQgGBrh+A1S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0Cgg2NroYY8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBDAoKtHYLXLAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQKOAYGujhz0CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEOCQi2dgheswQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAo0Cgq2NHvYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQ6JCDY2iF4zRIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECDQKCLY2etgjQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDokIBga4fgNUuAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINAoINja6GGPAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgQwKCrR2C1ywBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECjgGBro4c9AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBDgkItnYIXrMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKNAoKtjR72CBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEOiQg2NoheM0SIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAg0Cgi2NnrYI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6JCAYGuH4DVLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQKCDY2uhhjwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoEMCgq0dgtcsAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAo4Bga6OHPQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgQ4JCLZ2CF6zBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECjQKCrY0e9ggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDokINjaIXjNEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQINAoItjZ62CNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEOiQgGBrh+A1S4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0Cgg2NroYY8AAQIExqnAc889l+JjIUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBJ4XeNGLXlTs5PXzZ2wRIEBgZAQEW0fGVa0ECBAg0CUCOdD6zDPPpKeffjotWrSo+HRJ93WTAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiMmMBSSy2VJk6c2PcZsYZUTIAAgZKAYGsJwyYBAgQIjD+BCLY+++yzaeHChenJJ58swq0RcrUQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHxLjBhwoQ0efLkNGXKlGJt1tbx/kS4fwKjIyDYOjrOWiFAgACBMSoQwdaYpTUHW5966qki3DpGu6tbBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgVAQixBrB1qWXXlqwdVTENUKAQBYQbM0S1gQIECAwLgXKwdZ//etfSbB1XD4GbpoAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEKgLVYGvM2mrG1gqSXQIERkRAsHVEWFVKgAABAt0iINjaLSOlnwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwmgKCraOprS0CBMoCgq1lDdsECBAgMO4EBFvH3ZC7YQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoISDYWgNJEQIERkRAsHVEWFVKgAABAt0iINjaLSOlnwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwmgKCraOprS0CBMoCgq1lDdsECBAgMO4EBFvH3ZC7YQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoISDYWgNJEQIERkRAsHVEWFVKgAABAt0iINjaLSOlnwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwmgKCraOprS0CBMoCgq1lDdsECBAgMO4EBFvH3ZC7YQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoISDYWgNJEQIERkRAsHVEWFVKgAABAt0iINjaLSOlnwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwmgKCraOprS0CBMoCgq1lDdsECBAgMO4EBFvH3ZC7YQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoISDYWgNJEQIERkRAsHVEWFVKgAABAt0iINjaLSOlnwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwmgKCraOprS0CBMoCgq1lDdsECBAgMO4EBFvH3ZC7YQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoISDYWgNJEQIERkRAsHVEWFVKgAABAt0iINjaLSOlnwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwmgKCraOprS0CBMoCgq1lDdsECBAgMO4EBFvH3ZC7YQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoISDYWgNJEQIERkRAsHVEWFVKgAABAt0iINjaLSOlnwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwmgKCraOprS0CBMoCgq1lDdsECBAgMO4EBFvH3ZC7YQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoISDYWgNJEQIERkRAsHVEWFVKgAABAt0iINjaLSOlnwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwmgKCraOprS0CBMoCgq1lDdsECBAgMO4EBFvH3ZC7YQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoISDYWgNJEQIERkRAsHVEWFVKgAABAt0iINjaLSOlnwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwmgKCraOprS0CBMoCgq1lDdsECBAgMO4EBFvH3ZC7YQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoISDYWgNJEQIERkRAsHVEWFVKgAABAt0iINjaLSOlnwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwmgKCraOprS0CBMoCgq1lDdsECBAgMO4EBFvH3ZC7YQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoISDYWgNJEQIERkRAsHVEWFVKgAABAt0iINjaLSOlnwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwmgKCraOprS0CBMoCgq1lDdsECBAgMO4EBFvH3ZC7YQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoISDYWgNJEQIERkRAsHVEWFVKgAABAt0iINjaLSOlnwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwmgKCraOprS0CBMoCgq1lDdsECBAgMO4EBFvH3ZC7YQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoISDYWgNJEQIERkRAsHVEWFVKgAABAt0iINjaLSOlnwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwmgKCraOprS0CBMoCgq1lDdsECBAgMO4EBFvH3ZC7YQIECBD4/9u5g9S4ghgIoINtfP/z2owJY3DopTYSauoFhnTg0y292hYhQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoCCi2FpB8QoBAi4BiawurSwkQIEDgFgHF1luSMicBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQITAootk5qe4sAgVNAsfXUcCZAgACBOAHF1rjILUyAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBQHF1gKSTwgQaBFQbG1hdSkBAgQI3CKg2HpLUuYkQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUkBxdZJbW8RIHAKKLaeGs4ECBAgECeg2BoXuYUJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoCCg2FpA8gkBAi0Ciq0trC4lQIAAgVsEFFtvScqcBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDApoNg6qe0tAgROAcXWU8OZAAECBOIEFFvjIrcwAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBQEFFsLSD4hQKBFQLG1hdWlBAgQIHCLgGLrLUmZkwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQmBRRbJ7W9RYDAKaDYemo4EyBAgECcgGJrXOQWJkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGCgGJrAcknBAi0CCi2trC6lAABAgRuEVBsvSUpcxIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDApIBi66S2twgQOAUUW08NZwIECBCIE1BsjYvcwgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQEFBsLSD5hACBFgHF1hZWlxIgQIDALQKKrbckZU4CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQmBRQbJ3U9hYBAqeAYuup4UyAAAECcQKKrXGRW5gAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECgKKrQUknxAg0CKg2NrC6lICBAgQuEVAsfWWpMxJgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABApMCiq2T2t4iQOAUUGw9NZwJECBAIE5AsTUucgsTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQEFAsbWA5BMCBFoEFFtbWF1KgAABArcIKLbekpQ5CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGBSQLF1UttbBAicAoqtp4YzAQIECMQJKLbGRW5hAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECgIKLYWkHxCgECLgGJrC6tLCRAgQOAWAcXWW5IyJwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhMCii2Tmp7iwCBU0Cx9dRwJkCAAIE4AcXWuMgtTIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIFAcXWApJPCBBoEVBsbWF1KQECBAjcIqDYektS5iRAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSQHF1kltbxEgcAootp4azgQIECAQJ6DYGhe5hQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgIKDYWkDyCQECLQKKrS2sLiVAgACBWwQUW29JypwECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMCmg2Dqp7S0CBE4BxdZTw5kAAQIE4gQUW+MitzABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIFAQUWwtIPiFAoEVAsbWF1aUECBAgcIuAYustSZmTAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBCYFFFsntb1FgMApoNh6ajgTIECAQJyAYmtc5BYmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgYKAYmsByScECLQIKLa2sLqUAAECBG4RUGy9JSlzEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMCkgGLrpLa3CBA4BRRbTw1nAgQIEIgTUGyNi9zCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFAQUGwtIPmEAIEWAcXWFlaXEiBAgMAtAq9i68/Pz+P7+/vx9fX1+/fz+bxlfHMSIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIE2gY+Pj8fn5+f/X9tDLiZAgMAhoNh6YDgSIECAQKbAX7n1VXB9/V7/9ocAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECKQLvP7X1re3t8f7+/vv3+ke9idAYEZAsXXG2SsECBAgsFzgVWb9+y0f1XgECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGBM4FVu/fuNPeohAgSiBRRbo+O3PAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgj4Bi654sTEKAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQiBZQbI2O3/IECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgT0Ciq17sjAJAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQCBaQLE1On7LEyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgT2CCi27snCJAQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBaAHF1uj4LU+AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ2COg2LonC5MQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBKIFFFuj47c8AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGCPgGLrnixMQoAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCIFlBsjY7f8gQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBPQKKrXuyMAkBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAIFpAsTU6fssTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBPYIKLbuycIkBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFoAcXW6PgtT4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDYI6DYuicLkxAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEogUUW6PjtzwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYI+AYuueLExCgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEIgWUGyNjt/yBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIE9Aoqte7IwCQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEAgWkCxNTp+yxMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE9ggotu7JwiQECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgWgBxdbo+C1PgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIENgjoNi6JwuTECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgSiBRRbo+O3PAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgj4Bi654sTEKAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQiBZQbI2O3/IECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgT0Ciq17sjAJAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQCBaQLE1On7LEyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgT2CCi27snCJAQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBaAHF1uj4LU+AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ2COg2LonC5MQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBKIFFFuj47c8AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGCPgGLrnixMQoAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCIFlBsjY7f8gQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBPQKKrXuyMAkBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAIFpAsTU6fssTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBPYIKLbuycIkBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFoAcXW6PgtT4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDYI6DYuicLkxAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEogUUW6PjtzwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYI/AP32FaC7RRMzTAAAAAElFTkSuQmCC"
    }
   },
   "cell_type": "markdown",
   "id": "7fd96dd3-68e7-477c-af02-391fbdbbad4b",
   "metadata": {},
   "source": [
    "![image.png](attachment:960d2639-6ce3-4df0-ac2f-9e63680a901d.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56644571-1c5c-48f1-a2e6-dc1344bc4810",
   "metadata": {},
   "source": [
    "# -2) installations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "27d399a2-a573-44e8-bbe0-a6a9d52428bc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting pytube\n",
      "  Downloading pytube-15.0.0-py3-none-any.whl (57 kB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m57.6/57.6 kB\u001b[0m \u001b[31m1.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hInstalling collected packages: pytube\n",
      "Successfully installed pytube-15.0.0\n"
     ]
    }
   ],
   "source": [
    "!pip install pytube"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3affd0e8-5ce7-4aab-9a77-02d310eab857",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting google-cloud-videointelligence\n",
      "  Downloading google_cloud_videointelligence-2.11.4-py2.py3-none-any.whl (229 kB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m229.5/229.5 kB\u001b[0m \u001b[31m2.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.10.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,<3.0.0dev,>=1.34.0 in /opt/conda/lib/python3.10/site-packages (from google-cloud-videointelligence) (1.34.0)\n",
      "Requirement already satisfied: proto-plus<2.0.0dev,>=1.22.0 in /opt/conda/lib/python3.10/site-packages (from google-cloud-videointelligence) (1.22.2)\n",
      "Requirement already satisfied: protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5 in /opt/conda/lib/python3.10/site-packages (from google-cloud-videointelligence) (3.20.3)\n",
      "Requirement already satisfied: googleapis-common-protos<2.0dev,>=1.56.2 in /opt/conda/lib/python3.10/site-packages (from google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.10.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,<3.0.0dev,>=1.34.0->google-cloud-videointelligence) (1.59.1)\n",
      "Requirement already satisfied: google-auth<3.0dev,>=1.25.0 in /opt/conda/lib/python3.10/site-packages (from google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.10.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,<3.0.0dev,>=1.34.0->google-cloud-videointelligence) (2.20.0)\n",
      "Requirement already satisfied: requests<3.0.0dev,>=2.18.0 in /opt/conda/lib/python3.10/site-packages (from google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.10.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,<3.0.0dev,>=1.34.0->google-cloud-videointelligence) (2.31.0)\n",
      "Requirement already satisfied: grpcio<2.0dev,>=1.33.2 in /opt/conda/lib/python3.10/site-packages (from google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.10.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,<3.0.0dev,>=1.34.0->google-cloud-videointelligence) (1.51.3)\n",
      "Requirement already satisfied: grpcio-status<2.0dev,>=1.33.2 in /opt/conda/lib/python3.10/site-packages (from google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.10.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,<3.0.0dev,>=1.34.0->google-cloud-videointelligence) (1.48.2)\n",
      "Requirement already satisfied: cachetools<6.0,>=2.0.0 in /opt/conda/lib/python3.10/site-packages (from google-auth<3.0dev,>=1.25.0->google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.10.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,<3.0.0dev,>=1.34.0->google-cloud-videointelligence) (5.3.1)\n",
      "Requirement already satisfied: pyasn1-modules>=0.2.1 in /opt/conda/lib/python3.10/site-packages (from google-auth<3.0dev,>=1.25.0->google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.10.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,<3.0.0dev,>=1.34.0->google-cloud-videointelligence) (0.3.0)\n",
      "Requirement already satisfied: rsa<5,>=3.1.4 in /opt/conda/lib/python3.10/site-packages (from google-auth<3.0dev,>=1.25.0->google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.10.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,<3.0.0dev,>=1.34.0->google-cloud-videointelligence) (4.9)\n",
      "Requirement already satisfied: six>=1.9.0 in /opt/conda/lib/python3.10/site-packages (from google-auth<3.0dev,>=1.25.0->google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.10.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,<3.0.0dev,>=1.34.0->google-cloud-videointelligence) (1.16.0)\n",
      "Requirement already satisfied: urllib3<2.0 in /opt/conda/lib/python3.10/site-packages (from google-auth<3.0dev,>=1.25.0->google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.10.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,<3.0.0dev,>=1.34.0->google-cloud-videointelligence) (1.26.16)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /opt/conda/lib/python3.10/site-packages (from requests<3.0.0dev,>=2.18.0->google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.10.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,<3.0.0dev,>=1.34.0->google-cloud-videointelligence) (3.1.0)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.10/site-packages (from requests<3.0.0dev,>=2.18.0->google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.10.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,<3.0.0dev,>=1.34.0->google-cloud-videointelligence) (3.4)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.10/site-packages (from requests<3.0.0dev,>=2.18.0->google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.10.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,<3.0.0dev,>=1.34.0->google-cloud-videointelligence) (2023.5.7)\n",
      "Requirement already satisfied: pyasn1<0.6.0,>=0.4.6 in /opt/conda/lib/python3.10/site-packages (from pyasn1-modules>=0.2.1->google-auth<3.0dev,>=1.25.0->google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.10.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,<3.0.0dev,>=1.34.0->google-cloud-videointelligence) (0.5.0)\n",
      "Installing collected packages: google-cloud-videointelligence\n",
      "Successfully installed google-cloud-videointelligence-2.11.4\n"
     ]
    }
   ],
   "source": [
    "!pip install google-cloud-videointelligence\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9e2095b-d46f-4dc7-b3a9-0797f5cd503b",
   "metadata": {},
   "source": [
    "# -1) import des librairies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5e28efde-4982-466b-95e8-3bb4e91bdd5e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-03-26 10:55:02.472097: I external/local_tsl/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.\n",
      "2024-03-26 10:55:02.566482: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
      "2024-03-26 10:55:02.566548: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
      "2024-03-26 10:55:02.572783: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
      "2024-03-26 10:55:02.598446: I external/local_tsl/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.\n",
      "2024-03-26 10:55:02.599908: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
      "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
      "2024-03-26 10:55:05.276973: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n"
     ]
    }
   ],
   "source": [
    "\"\"\"Transcribe speech from a video stored on GCS.\"\"\"\n",
    "from google.cloud import videointelligence\n",
    "from pytube import YouTube\n",
    "# Install pytube if not already installed\n",
    "from pytube import YouTube\n",
    "from google.cloud import storage\n",
    "import vertexai\n",
    "import json\n",
    "\n",
    "\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from IPython.display import Markdown, display\n",
    "from sklearn.metrics.pairwise import cosine_similarity\n",
    "from vertexai.preview.language_models import (ChatModel, InputOutputTextPair,\n",
    "                                              TextEmbeddingModel,\n",
    "                                              TextGenerationModel)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "461cc982-d2e0-4837-8ad3-64ececeee785",
   "metadata": {},
   "source": [
    "# 0) Récupération de la vidéo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e28109dd-8685-4b88-bdcf-63d38157bdaa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[<Stream: itag=\"18\" mime_type=\"video/mp4\" res=\"360p\" fps=\"30fps\" vcodec=\"avc1.42001E\" acodec=\"mp4a.40.2\" progressive=\"True\" type=\"video\">, <Stream: itag=\"22\" mime_type=\"video/mp4\" res=\"720p\" fps=\"30fps\" vcodec=\"avc1.64001F\" acodec=\"mp4a.40.2\" progressive=\"True\" type=\"video\">, <Stream: itag=\"137\" mime_type=\"video/mp4\" res=\"1080p\" fps=\"30fps\" vcodec=\"avc1.640028\" progressive=\"False\" type=\"video\">, <Stream: itag=\"248\" mime_type=\"video/webm\" res=\"1080p\" fps=\"30fps\" vcodec=\"vp9\" progressive=\"False\" type=\"video\">, <Stream: itag=\"136\" mime_type=\"video/mp4\" res=\"720p\" fps=\"30fps\" vcodec=\"avc1.64001f\" progressive=\"False\" type=\"video\">, <Stream: itag=\"247\" mime_type=\"video/webm\" res=\"720p\" fps=\"30fps\" vcodec=\"vp9\" progressive=\"False\" type=\"video\">, <Stream: itag=\"135\" mime_type=\"video/mp4\" res=\"480p\" fps=\"30fps\" vcodec=\"avc1.4d401f\" progressive=\"False\" type=\"video\">, <Stream: itag=\"244\" mime_type=\"video/webm\" res=\"480p\" fps=\"30fps\" vcodec=\"vp9\" progressive=\"False\" type=\"video\">, <Stream: itag=\"134\" mime_type=\"video/mp4\" res=\"360p\" fps=\"30fps\" vcodec=\"avc1.4d401e\" progressive=\"False\" type=\"video\">, <Stream: itag=\"243\" mime_type=\"video/webm\" res=\"360p\" fps=\"30fps\" vcodec=\"vp9\" progressive=\"False\" type=\"video\">, <Stream: itag=\"133\" mime_type=\"video/mp4\" res=\"240p\" fps=\"30fps\" vcodec=\"avc1.4d4015\" progressive=\"False\" type=\"video\">, <Stream: itag=\"242\" mime_type=\"video/webm\" res=\"240p\" fps=\"30fps\" vcodec=\"vp9\" progressive=\"False\" type=\"video\">, <Stream: itag=\"160\" mime_type=\"video/mp4\" res=\"144p\" fps=\"30fps\" vcodec=\"avc1.4d400c\" progressive=\"False\" type=\"video\">, <Stream: itag=\"278\" mime_type=\"video/webm\" res=\"144p\" fps=\"30fps\" vcodec=\"vp9\" progressive=\"False\" type=\"video\">, <Stream: itag=\"139\" mime_type=\"audio/mp4\" abr=\"48kbps\" acodec=\"mp4a.40.5\" progressive=\"False\" type=\"audio\">, <Stream: itag=\"140\" mime_type=\"audio/mp4\" abr=\"128kbps\" acodec=\"mp4a.40.2\" progressive=\"False\" type=\"audio\">, <Stream: itag=\"249\" mime_type=\"audio/webm\" abr=\"50kbps\" acodec=\"opus\" progressive=\"False\" type=\"audio\">, <Stream: itag=\"250\" mime_type=\"audio/webm\" abr=\"70kbps\" acodec=\"opus\" progressive=\"False\" type=\"audio\">, <Stream: itag=\"251\" mime_type=\"audio/webm\" abr=\"160kbps\" acodec=\"opus\" progressive=\"False\" type=\"audio\">]\n"
     ]
    }
   ],
   "source": [
    "# Define the video URL\n",
    "video_url = \"https://www.youtube.com/watch?v=MFp4avqwJME\"\n",
    "video_url = \"https://youtu.be/REeUEBmvJqY\"\n",
    "\n",
    "# Create a YouTube object\n",
    "yt = YouTube(video_url)\n",
    "\n",
    "# List all available streams\n",
    "print(yt.streams)\n",
    "\n",
    "# Filter to get the highest resolution stream that includes both video and audio\n",
    "stream = yt.streams.filter(progressive=True, file_extension='mp4').order_by('resolution').desc().first()\n",
    "\n",
    "# Download the video\n",
    "if stream:\n",
    "    stream.download()\n",
    "else:\n",
    "    print(\"No suitable stream found\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "665f817c-3e6d-49ad-a965-a39bc2ef6975",
   "metadata": {},
   "source": [
    "## list the files to find the video name (Maybe 1st or 2nd file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c47bbca6-5b0d-4f1a-beb1-3d801d54f7a6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total 2433652\n",
      "-rw-r--r-- 1 jupyter jupyter     414946 Mar 26 11:04  video_transcription_demo_github.ipynb\n",
      "-rw-r--r-- 1 jupyter jupyter 1407819929 Mar 26 11:02 'Conseil Municipal du 1er Février 2024.mp4'\n",
      "-rw-r--r-- 1 jupyter jupyter 1079578234 Mar 26 10:57 'Conseil municipal du mardi 7 novembre 2023.mp4'\n",
      "-rw-r--r-- 1 jupyter jupyter      20561 Dec 21 13:53  langchain_00_intro.ipynb\n",
      "-rw-r--r-- 1 jupyter jupyter         72 Dec 21 13:30  Untitled.ipynb\n",
      "-rw-r--r-- 1 jupyter jupyter       2232 Dec 21 13:29  README.md\n",
      "-rw-r--r-- 1 jupyter jupyter    1226044 Dec 12 22:46 'vertex_pipelines_sinay (1).ipynb'\n",
      "-rw-r--r-- 1 jupyter jupyter      72428 Dec 12 22:42  cloud_orbit_demo_4_gpu_Vs_cpu.ipynb\n",
      "-rw-r--r-- 1 jupyter jupyter    1226044 Dec 12 22:39  cloud_orbit_demo_3_vertex_pipeline.ipynb\n",
      "-rw-r--r-- 1 jupyter jupyter       8531 Dec 12 22:05  cloud_orbit_demo_2_automl_endpoint_fetch.ipynb\n",
      "-rw-r--r-- 1 jupyter jupyter     653997 Dec 12 21:58  cloud_orbit_demo_1_APIs.ipynb\n",
      "-rw-r--r-- 1 jupyter jupyter     130862 Dec 12 21:56  video_transcription_demo_github_result.html\n",
      "-rw-r--r-- 1 jupyter jupyter       1369 Dec 12 21:56  component-build-a-sentence.yaml\n",
      "-rw-r--r-- 1 jupyter jupyter       1061 Dec 12 21:56  component-simple-string-return.yaml\n",
      "-rw-r--r-- 1 jupyter jupyter       1371 Dec 12 21:56  component-transform-string-to-emoji.yaml\n",
      "-rw-r--r-- 1 jupyter jupyter        550 Dec 12 21:56  image_to_predict.jsonl\n",
      "-rw-r--r-- 1 jupyter jupyter     849585 Dec 12 21:56  20230724_google_github_page_on_genai.pdf\n"
     ]
    }
   ],
   "source": [
    "!ls -lt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3bdc6a3d-040a-49fc-b38d-568ade5f370e",
   "metadata": {},
   "source": [
    "# 0.1) upload the file to a bucket"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "3362a61e-f763-4f4b-b5fd-990a121b5110",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'LOCAL_PATH_OF_THE_VIDEO'"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "560443ac-0e7a-4d00-b284-df3e1e13fd84",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set with your own parameters\n",
    "bucket_name = \"NAME_YOUR_BUCKET\"\n",
    "source_file_path = 'LOCAL_PATH_OF_THE_VIDEO'\n",
    "destination_blob_name = \"UPLOAD_PATH_OF_THE_VIDEO_IN_THE_BUCKET\"\n",
    "#destination_blob_name = source_file_path.replace(\" \",\"_\")\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1432a40-ffa0-42cc-a096-3b2324701aae",
   "metadata": {},
   "source": [
    "## 0.1.1) Helper functions for bucket management"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "1d204fcb-1d99-4343-9ee1-682d60ff6d42",
   "metadata": {},
   "outputs": [],
   "source": [
    "from google.cloud import storage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "a7e96863-24b2-4328-98da-a77bb5a56700",
   "metadata": {},
   "outputs": [],
   "source": [
    "def list_buckets_names():\n",
    "    \"\"\"Lists all buckets.\"\"\"\n",
    "\n",
    "    storage_client = storage.Client()\n",
    "    buckets = storage_client.list_buckets()\n",
    "\n",
    "    return [bucket.name for bucket in buckets]\n",
    "\n",
    "def create_bucket_class_location(bucket_name):\n",
    "    \"\"\"\n",
    "    Create a new bucket in the US region with the coldline storage\n",
    "    class\n",
    "    \"\"\"\n",
    "    # bucket_name = \"your-new-bucket-name\"\n",
    "\n",
    "    storage_client = storage.Client()\n",
    "\n",
    "    bucket = storage_client.bucket(bucket_name)\n",
    "    bucket.storage_class = \"STANDARD\"\n",
    "    new_bucket = storage_client.create_bucket(bucket, location=\"us\")\n",
    "\n",
    "    print(\n",
    "        \"Created bucket {} in {} with storage class {}\".format(\n",
    "            new_bucket.name, new_bucket.location, new_bucket.storage_class\n",
    "        )\n",
    "    )\n",
    "    return new_bucket\n",
    "\n",
    "def upload_file_to_gcs(bucket_name, source_file_path, destination_blob_name):\n",
    "    \"\"\"\n",
    "    Uploads a file to a Google Cloud Storage bucket.\n",
    "\n",
    "    Args:\n",
    "    bucket_name: The name of the bucket to upload to.\n",
    "    source_file_path: The path to the local file to upload.\n",
    "    destination_blob_name: The name to give the uploaded blob.\n",
    "\n",
    "    Returns:\n",
    "    A blob object representing the uploaded file.\n",
    "    \"\"\"\n",
    "\n",
    "    # Create a client object.\n",
    "    client = storage.Client()\n",
    "\n",
    "    # Get the bucket.\n",
    "    bucket = client.bucket(bucket_name)\n",
    "\n",
    "    # Create a new blob object.\n",
    "    blob = bucket.blob(destination_blob_name)\n",
    "\n",
    "    # Upload the file from the local path.\n",
    "    blob.upload_from_filename(source_file_path)\n",
    "\n",
    "    # Return the uploaded blob.\n",
    "    return blob\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a337460-4a29-4da9-a1dc-232792ad066c",
   "metadata": {},
   "source": [
    "## 0.1.2)  Create a bucket if needed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "9bc86082-c612-43e2-85ba-88fc3c74c280",
   "metadata": {},
   "outputs": [],
   "source": [
    "if bucket_name not in list_buckets_names():\n",
    "    create_bucket_class_location(bucket_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "ee5fc64e-c205-4185-ad04-e615f45152ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "assert(bucket_name in list_buckets_names())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52758937-e418-4474-99fc-52023227cc6c",
   "metadata": {},
   "source": [
    "## 0.1.3) upload video to the bucket"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "809924ab-8367-452a-8bb6-65a141db9d3b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "File Conseil Municipal du 1er Février 2024.mp4 uploaded to Conseil_Municipal_du_1er_Février_2024.mp4 in bucket storage_suresnes_videos\n"
     ]
    }
   ],
   "source": [
    "uploaded_blob = upload_file_to_gcs(bucket_name, source_file_path, destination_blob_name)\n",
    "\n",
    "print(f\"File {source_file_path} uploaded to {uploaded_blob.name} in bucket {bucket_name}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2d7de0e-d780-4ede-a7bd-d2ecfec26d07",
   "metadata": {},
   "source": [
    "# 2) speech to text"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da50f54b-a6a7-4a89-8f59-16a26c5b7980",
   "metadata": {},
   "source": [
    "# 2.1) paramètres"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "ae20db64-cc44-43ac-8aea-e32dc7ff909e",
   "metadata": {},
   "outputs": [],
   "source": [
    "input_uri = f\"gs://{bucket_name}/{destination_blob_name}\"\n",
    "language_code=\"fr-FR\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "8d945bac-fa36-49a7-af59-c80f0a7d8511",
   "metadata": {},
   "outputs": [],
   "source": [
    "features     = [videointelligence.Feature.SPEECH_TRANSCRIPTION]\n",
    "\n",
    "config = videointelligence.SpeechTranscriptionConfig(\n",
    "    language_code=language_code, \n",
    "    enable_automatic_punctuation=True,\n",
    "#    enable_speaker_diarization=True,  # Add this line\n",
    "#    diarization_speaker_count=10,\n",
    ")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22d79598-3bed-4e88-83d5-322227048f11",
   "metadata": {},
   "source": [
    "# 2.2) instanciation des classes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "371d3216-06c8-4872-95b1-21185df3c3f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "video_client = videointelligence.VideoIntelligenceServiceClient()\n",
    "video_context = videointelligence.VideoContext(speech_transcription_config=config)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "f5f28596-8cdc-4f2d-ab3e-0c40bc1929f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "operation = video_client.annotate_video(\n",
    "    request={\n",
    "        \"features\": features,\n",
    "        \"input_uri\": input_uri,\n",
    "        \"video_context\": video_context,\n",
    "    }\n",
    ")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afb5e822-8bd4-4468-b9cd-48715e32f150",
   "metadata": {},
   "source": [
    "# 3) Vidéo Transcription (speech to text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "3102977a-0b4c-45b3-8f9d-ec16f7c72924",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Processing video for speech transcription.\n"
     ]
    }
   ],
   "source": [
    "print(\"\\nProcessing video for speech transcription.\")\n",
    "result = operation.result(timeout=3600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "dc49f86f-91bc-4b1c-9790-2b998a617733",
   "metadata": {},
   "outputs": [],
   "source": [
    "annotation_results = result.annotation_results[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "710c89b9-777a-47f2-951a-ada189b3b335",
   "metadata": {},
   "outputs": [
    {
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       "      seconds: 616\n",
       "      nanos: 600000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 616\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    word: \"pouvoirs.\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 616\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 619\n",
       "      nanos: 400000000\n",
       "    }\n",
       "    word: \"Bon\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 619\n",
       "      nanos: 400000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 619\n",
       "      nanos: 700000000\n",
       "    }\n",
       "    word: \"merci\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 619\n",
       "      nanos: 700000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 620\n",
       "    }\n",
       "    word: \"Monsieur\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 620\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 620\n",
       "      nanos: 100000000\n",
       "    }\n",
       "    word: \"le\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 620\n",
       "      nanos: 100000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 620\n",
       "      nanos: 200000000\n",
       "    }\n",
       "    word: \"Maire\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 620\n",
       "      nanos: 200000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 620\n",
       "      nanos: 400000000\n",
       "    }\n",
       "    word: \"et\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 620\n",
       "      nanos: 400000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 620\n",
       "      nanos: 500000000\n",
       "    }\n",
       "    word: \"qu\\'on\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 620\n",
       "      nanos: 500000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 620\n",
       "      nanos: 800000000\n",
       "    }\n",
       "    word: \"sera\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 620\n",
       "      nanos: 800000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 621\n",
       "      nanos: 200000000\n",
       "    }\n",
       "    word: \"tous\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 621\n",
       "      nanos: 200000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 621\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    word: \"donc\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 621\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 622\n",
       "      nanos: 400000000\n",
       "    }\n",
       "    word: \"Madame\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 622\n",
       "      nanos: 400000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 623\n",
       "      nanos: 100000000\n",
       "    }\n",
       "    word: \"Bethouart\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 623\n",
       "      nanos: 100000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 623\n",
       "      nanos: 200000000\n",
       "    }\n",
       "    word: \"\\303\\240\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 623\n",
       "      nanos: 200000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 623\n",
       "      nanos: 600000000\n",
       "    }\n",
       "    word: \"dolique\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 623\n",
       "      nanos: 600000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 623\n",
       "      nanos: 700000000\n",
       "    }\n",
       "    word: \"et\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 623\n",
       "      nanos: 700000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 623\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    word: \"donne\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 623\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 624\n",
       "      nanos: 200000000\n",
       "    }\n",
       "    word: \"pouvoir\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 624\n",
       "      nanos: 200000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 624\n",
       "      nanos: 400000000\n",
       "    }\n",
       "    word: \"\\303\\240\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 624\n",
       "      nanos: 400000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 624\n",
       "      nanos: 800000000\n",
       "    }\n",
       "    word: \"Madame\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 624\n",
       "      nanos: 800000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 624\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    word: \"de\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 624\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 625\n",
       "    }\n",
       "    word: \"La\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 625\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 625\n",
       "      nanos: 200000000\n",
       "    }\n",
       "    word: \"Motte\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 625\n",
       "      nanos: 200000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 627\n",
       "      nanos: 600000000\n",
       "    }\n",
       "    word: \"Madame\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 627\n",
       "      nanos: 600000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 627\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    word: \"Monsieur\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 627\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 628\n",
       "      nanos: 300000000\n",
       "    }\n",
       "    word: \"Jean\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 628\n",
       "      nanos: 300000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 628\n",
       "      nanos: 600000000\n",
       "    }\n",
       "    word: \"Pr\\303\\251vost\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 628\n",
       "      nanos: 600000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 628\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    word: \"de\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 628\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 629\n",
       "      nanos: 200000000\n",
       "    }\n",
       "    word: \"ne\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 629\n",
       "      nanos: 200000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 629\n",
       "      nanos: 500000000\n",
       "    }\n",
       "    word: \"pouvoir\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 629\n",
       "      nanos: 500000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 629\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    word: \"\\303\\240\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 629\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 630\n",
       "      nanos: 500000000\n",
       "    }\n",
       "    word: \"Madame\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 630\n",
       "      nanos: 500000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 631\n",
       "      nanos: 300000000\n",
       "    }\n",
       "    word: \"Guillot\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 631\n",
       "      nanos: 300000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 632\n",
       "      nanos: 600000000\n",
       "    }\n",
       "    word: \"Monsieur\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 632\n",
       "      nanos: 600000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 632\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    word: \"Fr\\303\\251d\\303\\251ric\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 632\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 634\n",
       "      nanos: 200000000\n",
       "    }\n",
       "    word: \"pouvoir\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 634\n",
       "      nanos: 200000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 634\n",
       "      nanos: 400000000\n",
       "    }\n",
       "    word: \"\\303\\240\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 634\n",
       "      nanos: 400000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 634\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    word: \"Madame\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 634\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 635\n",
       "      nanos: 300000000\n",
       "    }\n",
       "    word: \"Isabelle\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 635\n",
       "      nanos: 300000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 635\n",
       "      nanos: 500000000\n",
       "    }\n",
       "    word: \"de\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 635\n",
       "      nanos: 500000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 635\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    word: \"Cressy\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 635\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 638\n",
       "      nanos: 300000000\n",
       "    }\n",
       "    word: \"sur\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 638\n",
       "      nanos: 300000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 638\n",
       "      nanos: 700000000\n",
       "    }\n",
       "    word: \"Bruno\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 638\n",
       "      nanos: 700000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 638\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    word: \"Jacques,\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 638\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 639\n",
       "      nanos: 100000000\n",
       "    }\n",
       "    word: \"on\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 639\n",
       "      nanos: 100000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 639\n",
       "      nanos: 300000000\n",
       "    }\n",
       "    word: \"donne\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 639\n",
       "      nanos: 300000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 639\n",
       "      nanos: 600000000\n",
       "    }\n",
       "    word: \"pouvoir\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 639\n",
       "      nanos: 600000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 640\n",
       "    }\n",
       "    word: \"\\303\\240\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 640\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 640\n",
       "      nanos: 400000000\n",
       "    }\n",
       "    word: \"Monsieur\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 640\n",
       "      nanos: 400000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 640\n",
       "      nanos: 800000000\n",
       "    }\n",
       "    word: \"Fabrice\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 640\n",
       "      nanos: 800000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 641\n",
       "      nanos: 200000000\n",
       "    }\n",
       "    word: \"Bulteau\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 641\n",
       "      nanos: 200000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 643\n",
       "      nanos: 300000000\n",
       "    }\n",
       "    word: \"madame\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 643\n",
       "      nanos: 300000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 643\n",
       "      nanos: 600000000\n",
       "    }\n",
       "    word: \"Perrine\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 643\n",
       "      nanos: 600000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 644\n",
       "      nanos: 100000000\n",
       "    }\n",
       "    word: \"compris\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 644\n",
       "      nanos: 100000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 644\n",
       "      nanos: 400000000\n",
       "    }\n",
       "    word: \"donne\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 644\n",
       "      nanos: 400000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 644\n",
       "      nanos: 700000000\n",
       "    }\n",
       "    word: \"pouvoir\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 644\n",
       "      nanos: 700000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 645\n",
       "    }\n",
       "    word: \"\\303\\240\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 645\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 645\n",
       "      nanos: 400000000\n",
       "    }\n",
       "    word: \"Monsieur\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 645\n",
       "      nanos: 400000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 645\n",
       "      nanos: 700000000\n",
       "    }\n",
       "    word: \"soma\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 645\n",
       "      nanos: 700000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 646\n",
       "    }\n",
       "    word: \"Klein\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 646\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 647\n",
       "      nanos: 700000000\n",
       "    }\n",
       "    word: \"monsieur\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 647\n",
       "      nanos: 700000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 648\n",
       "      nanos: 100000000\n",
       "    }\n",
       "    word: \"Abraham\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 648\n",
       "      nanos: 100000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 648\n",
       "      nanos: 500000000\n",
       "    }\n",
       "    word: \"Abitbol,\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 648\n",
       "      nanos: 500000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 649\n",
       "    }\n",
       "    word: \"donne\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 649\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 649\n",
       "      nanos: 300000000\n",
       "    }\n",
       "    word: \"pouvoir\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 649\n",
       "      nanos: 300000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 649\n",
       "      nanos: 600000000\n",
       "    }\n",
       "    word: \"\\303\\240\"\n",
       "  }\n",
       "  words {\n",
       "    start_time {\n",
       "      seconds: 649\n",
       "      nanos: 600000000\n",
       "    }\n",
       "    end_time {\n",
       "      seconds: 649\n",
       "      nanos: 900000000\n",
       "    }\n",
       "    word: \"Monsieur.\"\n",
       "  }\n",
       "}\n",
       "language_code: \"fr-fr\""
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "annotation_results.speech_transcriptions[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1700b78a-beaf-4f89-89f5-7378ce04dede",
   "metadata": {},
   "source": [
    "## 3.1) concatenation des mots, avec timestamp, dans une chaîne contenant tout le transcript"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "97feccfe-203f-4805-b997-733ec60b9ed0",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "a66b8e84-4802-4de8-af86-3f466769265a",
   "metadata": {},
   "outputs": [],
   "source": [
    "text_transcription = \"\"\n",
    "last_timestamp = False\n",
    "for speech_transcription in annotation_results.speech_transcriptions:\n",
    "    for alternative in speech_transcription.alternatives:\n",
    "        for word_info in alternative.words:            \n",
    "            nb_minutes = str(word_info.start_time.seconds/60)\n",
    "            timestamp = nb_minutes[:nb_minutes.find(\".\")+2]\n",
    "            if timestamp[-2:] in ['.5', '.0'] and timestamp!=last_timestamp:\n",
    "                text_transcription = text_transcription + f\"[timestamp = {float(timestamp)*60} Sec.]\" + \" \" +word_info.word\n",
    "                last_timestamp = timestamp\n",
    "            else:\n",
    "                text_transcription = text_transcription + \" \" +word_info.word\n",
    "            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "49a71bb4-ea23-4600-8343-c1df837babaa",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"transciption.txt\", \"w\") as f : \n",
    "    f.write(text_transcription)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "57095987-805f-4954-b9c6-76345a1ec0c4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jupyter/vertex-ai-demo\n"
     ]
    }
   ],
   "source": [
    "!pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "708718c3-2165-4e6e-ba0f-e227eed6bd16",
   "metadata": {},
   "outputs": [],
   "source": [
    "transcription_timee2 = text_transcription"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86f1bd17-0ccd-473b-b029-3572086c79da",
   "metadata": {},
   "source": [
    "# 4) Gen AI "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f79b5a7a-bc95-4526-a45a-3da4f89f3bb3",
   "metadata": {},
   "source": [
    "# 4.0) setting variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "53fd8027-eef4-43e5-9e53-9133c2181a04",
   "metadata": {},
   "outputs": [],
   "source": [
    "PROJECT_ID = \"YOUR_PROJECT_ID\"\n",
    "vertexai.init(project=PROJECT_ID, location=\"us-central1\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a22f6ec4-2187-4aeb-9087-08753775c235",
   "metadata": {},
   "source": [
    "## 4.1) utilisation du modèle choisi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "65751bf3-23bd-4611-9119-5f20977e53a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "generation_model = TextGenerationModel.from_pretrained(\"text-bison@002\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3916c40c-8715-4d81-ab6b-018e549cb5eb",
   "metadata": {},
   "source": [
    "## 4.2)  Prompt engineering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "e058a8d4-83b0-4d40-94e5-f9b4c407854c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ".\n"
     ]
    }
   ],
   "source": [
    "data_json      = []\n",
    "debut = 0\n",
    "fin = 0\n",
    "step = 10000\n",
    "\n",
    "while fin < len(transcription_timee2): \n",
    "    fin += step\n",
    "    prompt = f\"\"\"Voici une transcription d'une vidéo.\n",
    "    Il y a plusieurs orateurs, et je ne sais pas à quel endroit de la conversation les orateurs changent. \n",
    "    Il faut que tu détectes à travers l'analyse du texte, des formules de politesse et des formules de passation de prise de paroles, les parties du texte qui sont énoncées par une personne puis une autre. \n",
    "    \n",
    "    Retourne moi le texte avec un json à chaque fois que l'orateur change. \n",
    "    Tu as une limite dans le nombre de caractères que tu peux créer => arrête toi avant d'avoir atteint cette limite, afin d'être sûr de bien terminer le tableau de json !\n",
    "    Les jsons doivent avoir les champs suivants : \n",
    "    - timestamp : le timestamp de début de l'intervention\n",
    "    - orateur : le nom de l'orateur (si possible) \n",
    "    - résumé : un résumé de ce qui est dit\n",
    "    - lien : un lien html vers {video_url} qui pointe sur l'heure de début (en utilisant le paramètre &t=) \n",
    "\n",
    "\n",
    "    <transcription>\n",
    "    {transcription_timee2[debut:fin]}\n",
    "    </transcription>\"\"\"\n",
    "    debut += step\n",
    "    response = generation_model.predict(prompt=prompt, max_output_tokens=2000)\n",
    "\n",
    "    string_json    = response.text\n",
    "    \n",
    "    last_object_end = max(string_json.rfind(\"},\"), string_json.rfind(\"}\"))\n",
    "\n",
    "    # Tronquer la chaîne à la fin du dernier objet JSON valide\n",
    "    json_string_truncated = string_json[:last_object_end + 1]\n",
    "\n",
    "    # Ajouter la fermeture de tableau si nécessaire\n",
    "    json_string_truncated += ']'\n",
    "    \n",
    "    \n",
    "    substring_json = json_string_truncated[8:]\n",
    "    data_json.append( json.loads(substring_json))\n",
    "    print(\".\")\n",
    "    break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "10f599bd-6583-4b73-9190-ae7dc9de4dd4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[{'timestamp': 600.0,\n",
       "   'orateur': 'Maire',\n",
       "   'résumé': 'Ouverture de la séance du conseil municipal, annonce de la présence de 22 conseillers.',\n",
       "   'lien': 'https://youtu.be/REeUEBmvJqY?t=600'},\n",
       "  {'timestamp': 630.0,\n",
       "   'orateur': 'Secrétaire de séance',\n",
       "   'résumé': 'Lecture des pouvoirs donnés par les conseillers absents.',\n",
       "   'lien': 'https://youtu.be/REeUEBmvJqY?t=630'},\n",
       "  {'timestamp': 690.0,\n",
       "   'orateur': 'Maire',\n",
       "   'résumé': 'Présentation des vœux pour la nouvelle année, remerciements aux agents de la ville.',\n",
       "   'lien': 'https://youtu.be/REeUEBmvJqY?t=690'},\n",
       "  {'timestamp': 720.0,\n",
       "   'orateur': 'Maire',\n",
       "   'résumé': \"Présentation des projets de rénovation du centre-ville, de la médiathèque et du square de l'hôtel de ville.\",\n",
       "   'lien': 'https://youtu.be/REeUEBmvJqY?t=720'},\n",
       "  {'timestamp': 840.0,\n",
       "   'orateur': 'Maire',\n",
       "   'résumé': 'Annonce du lancement des travaux de la balade en scène ou en bordeaux.',\n",
       "   'lien': 'https://youtu.be/REeUEBmvJqY?t=840'},\n",
       "  {'timestamp': 900.0,\n",
       "   'orateur': 'Maire',\n",
       "   'résumé': 'Présentation du baromètre sur la perception de la ville par les habitants.',\n",
       "   'lien': 'https://youtu.be/REeUEBmvJqY?t=900'},\n",
       "  {'timestamp': 930.0,\n",
       "   'orateur': 'Maire',\n",
       "   'résumé': 'Présentation de la charte architecturale et paysagère.',\n",
       "   'lien': 'https://youtu.be/REeUEBmvJqY?t=930'},\n",
       "  {'timestamp': 1050.0,\n",
       "   'orateur': 'Maire',\n",
       "   'résumé': 'Présentation de la charte promoteur en cours et de la charte si tu râles et et paysagère.',\n",
       "   'lien': 'https://youtu.be/REeUEBmvJqY?t=1050'},\n",
       "  {'timestamp': 1110.0,\n",
       "   'orateur': 'Maire',\n",
       "   'résumé': \"Présentation du projet d'implantation du collège Émile Zola sur le site de l'ancien les achats.\",\n",
       "   'lien': 'https://youtu.be/REeUEBmvJqY?t=1110'},\n",
       "  {'timestamp': 1140.0,\n",
       "   'orateur': 'Christian Dupuy',\n",
       "   'résumé': \"Présentation de l'étude de la perception sur une partie des habitants.\",\n",
       "   'lien': 'https://youtu.be/REeUEBmvJqY?t=1140'}]]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_json"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26154aea-c95c-4745-8e57-bb50064bfb83",
   "metadata": {},
   "source": [
    "# 5) output en html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "d27d4459-11a3-4111-b2e3-a908971a2d49",
   "metadata": {},
   "outputs": [],
   "source": [
    "sep = \"\\n - \"\n",
    "sep1 = \"<ul>\"\n",
    "sep2 = \"</ul>\"\n",
    "last_debut = data_json[0][0][\"timestamp\"]\n",
    "last_orateur = data_json[0][0][\"orateur\"]\n",
    "last_résumé = sep1 + \"\\n<li>\"+ data_json[0][0][\"résumé\"]\n",
    "last_lien = data_json[0][0][\"lien\"]\n",
    "html = \"\"\n",
    "for data1 in data_json:\n",
    "    for data in data1:\n",
    "        orateur = data[\"orateur\"]\n",
    "\n",
    "\n",
    "        if orateur != last_orateur:\n",
    "            \n",
    "            new_link = f'<a href=\"#\" data-timestamp=\"{str(last_debut)[:str(last_debut).find(\".\")]}\" onclick=\"loadVideoAtTimestamp(this)\">Load video at {str(last_debut)[:str(last_debut).find(\".\")]}s</a>'\n",
    "            \n",
    "            html += f\"<h2>{last_debut} : {last_orateur} {new_link}</h2>\\n\"\n",
    "            html += f\"{last_résumé}</ul>\\n\"\n",
    "\n",
    "            last_debut = data[\"timestamp\"]\n",
    "            last_orateur = data[\"orateur\"]\n",
    "            last_résumé = \"<ul> <li>\" + data[\"résumé\"]  + \"</li>\"\n",
    "            last_lien = sep + data[\"lien\"]\n",
    "        else:\n",
    "            last_résumé  = last_résumé + \"\\n<li>\" + data[\"résumé\"]  + \"</li>\"\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14d56fb9-f3bc-49ce-839b-f5cf89e5f709",
   "metadata": {},
   "source": [
    "## 5.1) HTML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "fd36e3d8-df05-425d-8cc9-c7a9a048492a",
   "metadata": {},
   "outputs": [],
   "source": [
    "youtube_include = \"\"\"\n",
    "<!DOCTYPE html>\n",
    "<html lang=\"fr\">\n",
    "  \n",
    "<head>\n",
    "    <title>Your Page Title</title>\n",
    "  <meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\">\n",
    "\n",
    "<!-- Your CSS and other head content here -->\n",
    "\n",
    "     <style type=\"text/css\">\n",
    "        body {\n",
    "    font-family: 'Arial', sans-serif;\n",
    "    background-color: #f4f4f4;\n",
    "    color: #333;\n",
    "    line-height: 1.6;\n",
    "    padding: 20px;\n",
    "}\n",
    ".fixed-height-text {\n",
    "    height: 400px; /* Set your desired height */\n",
    "    overflow: auto; /* Enables scrolling if content exceeds the height */\n",
    "    /* Add any additional styling like padding, border, etc. */\n",
    "}\n",
    "iframe {\n",
    "    width: 100%;\n",
    "    max-width: 800px; /* Adjust based on your preference */\n",
    "    margin-bottom: 20px;\n",
    "    \n",
    "}\n",
    "\n",
    "h2 {\n",
    "    background-color: #007bff;\n",
    "    color: white;\n",
    "    padding: 10px;\n",
    "    border-radius: 5px;\n",
    "}\n",
    "\n",
    "ul {\n",
    "    list-style: inside square;\n",
    "    padding-left: 20px;\n",
    "}\n",
    "\n",
    "li {\n",
    "    margin-bottom: 10px;\n",
    "}\n",
    "\n",
    "a {\n",
    "    color: #ff4500; /* Adjust the color to make it more visible */\n",
    "    text-decoration: none;\n",
    "}\n",
    "\n",
    "a:hover {\n",
    "    color: #ff6347; /* A slightly different color for hover effect */\n",
    "    text-decoration: underline;\n",
    "}\n",
    "\n",
    "/* Responsive design for smaller screens */\n",
    "@media screen and (max-width: 600px) {\n",
    "    body {\n",
    "        padding: 10px;\n",
    "    }\n",
    "\n",
    "    h2 {\n",
    "        font-size: 1em;\n",
    "    }\n",
    "}\n",
    "\n",
    "    </style>\n",
    "</head>\n",
    "<body>\n",
    "\"\"\"+ f'    <iframe id=\"videoPlayer\" width=\"560\" height=\"315\" src=\"{video_url}\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen></iframe>'\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "12e9e7b3-aeb6-4efe-963c-ac07b0d20091",
   "metadata": {},
   "outputs": [],
   "source": [
    "html_footer = \"\"\"\n",
    "<script>\n",
    "    var loadCounter = 0;\n",
    "\n",
    "    function loadVideoAtTimestamp(element) {\n",
    "        var timestamp = element.getAttribute('data-timestamp');\n",
    "        var iframe = document.getElementById('videoPlayer');\"\"\" + f\"\"\"\n",
    "        iframe.src = '{video_url}?start=' + timestamp + '&loadCounter=' + loadCounter;\n",
    "        \"\"\"+\"\"\"\n",
    "        loadCounter++; // Increment the counter to ensure a unique URL each time\n",
    "        return false; // Prevent default action of the link\n",
    "    }\n",
    "</script>\n",
    "\n",
    "</body>\n",
    "</html>\n",
    "\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "a1b70da2-7439-4e62-9635-d170448cad5a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "<script>\n",
      "    var loadCounter = 0;\n",
      "\n",
      "    function loadVideoAtTimestamp(element) {\n",
      "        var timestamp = element.getAttribute('data-timestamp');\n",
      "        var iframe = document.getElementById('videoPlayer');\n",
      "        iframe.src = 'https://youtu.be/REeUEBmvJqY?start=' + timestamp + '&loadCounter=' + loadCounter;\n",
      "        \n",
      "        loadCounter++; // Increment the counter to ensure a unique URL each time\n",
      "        return false; // Prevent default action of the link\n",
      "    }\n",
      "</script>\n",
      "\n",
      "</body>\n",
      "</html>\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(html_footer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "995f8134-ddf6-44a0-abfa-0e032a710bcf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "<!DOCTYPE html>\n",
      "<html>\n",
      "<head>\n",
      "    <title>Your Page Title</title>\n",
      "    <!-- Your CSS and other head content here -->\n",
      "</head>\n",
      "\n",
      "<head>\n",
      "    <title>Your Page Title</title>\n",
      "    <!-- Your CSS and other head content here -->\n",
      "\n",
      "     <style type=\"text/css\">\n",
      "        body {\n",
      "    font-family: 'Arial', sans-serif;\n",
      "    background-color: #f4f4f4;\n",
      "    color: #333;\n",
      "    line-height: 1.6;\n",
      "    padding: 20px;\n",
      "}\n",
      ".fixed-height-text {\n",
      "    height: 400px; /* Set your desired height */\n",
      "    overflow: auto; /* Enables scrolling if content exceeds the height */\n",
      "    /* Add any additional styling like padding, border, etc. */\n",
      "}\n",
      "iframe {\n",
      "    width: 100%;\n",
      "    max-width: 800px; /* Adjust based on your preference */\n",
      "    margin-bottom: 20px;\n",
      "    \n",
      "}\n",
      "\n",
      "h2 {\n",
      "    background-color: #007bff;\n",
      "    color: white;\n",
      "    padding: 10px;\n",
      "    border-radius: 5px;\n",
      "}\n",
      "\n",
      "ul {\n",
      "    list-style: inside square;\n",
      "    padding-left: 20px;\n",
      "}\n",
      "\n",
      "li {\n",
      "    margin-bottom: 10px;\n",
      "}\n",
      "\n",
      "a {\n",
      "    color: #ff4500; /* Adjust the color to make it more visible */\n",
      "    text-decoration: none;\n",
      "}\n",
      "\n",
      "a:hover {\n",
      "    color: #ff6347; /* A slightly different color for hover effect */\n",
      "    text-decoration: underline;\n",
      "}\n",
      "\n",
      "/* Responsive design for smaller screens */\n",
      "@media screen and (max-width: 600px) {\n",
      "    body {\n",
      "        padding: 10px;\n",
      "    }\n",
      "\n",
      "    h2 {\n",
      "        font-size: 1em;\n",
      "    }\n",
      "}\n",
      "\n",
      "    </style>\n",
      "</head>\n",
      "<body>\n",
      "    <iframe id=\"videoPlayer\" width=\"560\" height=\"315\" src=\"https://youtu.be/REeUEBmvJqY\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen></iframe>\n"
     ]
    }
   ],
   "source": [
    "print(youtube_include)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2842bd9-38d2-4773-b19c-ff6b9733f3ea",
   "metadata": {},
   "source": [
    "## 5.2) save to a file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "f2c4a9b3-29ea-45a6-a607-2ecd9414594e",
   "metadata": {},
   "outputs": [],
   "source": [
    "html_path = \"./suresnes.html\"\n",
    "with open(html_path, \"w\") as f:\n",
    "    f.write(youtube_include + html + html_footer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "17596a20-a72b-4e26-a188-6e1b51ec7b79",
   "metadata": {},
   "outputs": [],
   "source": [
    "destination_blob_name = \"suresnes.html\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "1fabdcc6-7dff-4015-9680-164305621825",
   "metadata": {},
   "outputs": [],
   "source": [
    "uploaded_blob = upload_file_to_gcs(bucket_name, html_path, destination_blob_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "f6a9f5b1-e46f-4801-8330-67caae9f9ff6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "<!DOCTYPE html>\n",
      "<html>\n",
      "<head>\n",
      "    <title>Your Page Title</title>\n",
      "    <!-- Your CSS and other head content here -->\n",
      "</head>\n",
      "\n",
      "<head>\n",
      "    <title>Your Page Title</title>\n",
      "    <!-- Your CSS and other head content here -->\n",
      "\n",
      "     <style type=\"text/css\">\n",
      "        body {\n",
      "    font-family: 'Arial', sans-serif;\n",
      "    background-color: #f4f4f4;\n",
      "    color: #333;\n",
      "    line-height: 1.6;\n",
      "    padding: 20px;\n",
      "}\n",
      ".fixed-height-text {\n",
      "    height: 400px; /* Set your desired height */\n",
      "    overflow: auto; /* Enables scrolling if content exceeds the height */\n",
      "    /* Add any additional styling like padding, border, etc. */\n",
      "}\n",
      "iframe {\n",
      "    width: 100%;\n",
      "    max-width: 800px; /* Adjust based on your preference */\n",
      "    margin-bottom: 20px;\n",
      "    \n",
      "}\n",
      "\n",
      "h2 {\n",
      "    background-color: #007bff;\n",
      "    color: white;\n",
      "    padding: 10px;\n",
      "    border-radius: 5px;\n",
      "}\n",
      "\n",
      "ul {\n",
      "    list-style: inside square;\n",
      "    padding-left: 20px;\n",
      "}\n",
      "\n",
      "li {\n",
      "    margin-bottom: 10px;\n",
      "}\n",
      "\n",
      "a {\n",
      "    color: #ff4500; /* Adjust the color to make it more visible */\n",
      "    text-decoration: none;\n",
      "}\n",
      "\n",
      "a:hover {\n",
      "    color: #ff6347; /* A slightly different color for hover effect */\n",
      "    text-decoration: underline;\n",
      "}\n",
      "\n",
      "/* Responsive design for smaller screens */\n",
      "@media screen and (max-width: 600px) {\n",
      "    body {\n",
      "        padding: 10px;\n",
      "    }\n",
      "\n",
      "    h2 {\n",
      "        font-size: 1em;\n",
      "    }\n",
      "}\n",
      "\n",
      "    </style>\n",
      "</head>\n",
      "<body>\n",
      "    <iframe id=\"videoPlayer\" width=\"560\" height=\"315\" src=\"https://youtu.be/REeUEBmvJqY\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen></iframe><h2>600.0 : Maire <a href=\"#\" data-timestamp=\"600\" onclick=\"loadVideoAtTimestamp(this)\">Load video at 600s</a></h2>\n",
      "<ul>\n",
      "<li>Ouverture de la séance du conseil municipal, annonce de la présence de 22 conseillers.\n",
      "<li>Ouverture de la séance du conseil municipal, annonce de la présence de 22 conseillers.</li></ul>\n",
      "<h2>630.0 : Secrétaire de séance <a href=\"#\" data-timestamp=\"630\" onclick=\"loadVideoAtTimestamp(this)\">Load video at 630s</a></h2>\n",
      "<ul> <li>Lecture des pouvoirs donnés par les conseillers absents.</li></ul>\n",
      "<h2>690.0 : Maire <a href=\"#\" data-timestamp=\"690\" onclick=\"loadVideoAtTimestamp(this)\">Load video at 690s</a></h2>\n",
      "<ul> <li>Présentation des vœux pour la nouvelle année, remerciements aux agents de la ville.</li>\n",
      "<li>Présentation des projets de rénovation du centre-ville, de la médiathèque et du square de l'hôtel de ville.</li>\n",
      "<li>Annonce du lancement des travaux de la balade en scène ou en bordeaux.</li>\n",
      "<li>Présentation du baromètre sur la perception de la ville par les habitants.</li>\n",
      "<li>Présentation de la charte architecturale et paysagère.</li>\n",
      "<li>Présentation de la charte promoteur en cours et de la charte si tu râles et et paysagère.</li>\n",
      "<li>Présentation du projet d'implantation du collège Émile Zola sur le site de l'ancien les achats.</li></ul>\n",
      "\n",
      "<script>\n",
      "    var loadCounter = 0;\n",
      "\n",
      "    function loadVideoAtTimestamp(element) {\n",
      "        var timestamp = element.getAttribute('data-timestamp');\n",
      "        var iframe = document.getElementById('videoPlayer');\n",
      "        iframe.src = 'https://youtu.be/REeUEBmvJqY?start=' + timestamp + '&loadCounter=' + loadCounter;\n",
      "        \n",
      "        loadCounter++; // Increment the counter to ensure a unique URL each time\n",
      "        return false; // Prevent default action of the link\n",
      "    }\n",
      "</script>\n",
      "\n",
      "</body>\n",
      "</html>\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!cat suresnes.html"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb6fe678-2ce3-4e73-8ae3-5a9478301aff",
   "metadata": {},
   "source": [
    "# End"
   ]
  }
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