{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ad330e6b-6059-449b-83c2-3cdbbec163fc",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/root/anaconda3/envs/torch190-test/lib/python3.8/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import torch\n",
    "import torch.nn.functional as F\n",
    "# from torch.backends import cudnn\n",
    "\n",
    "from fast_reid.fastreid.config import get_cfg\n",
    "from fast_reid.fastreid.modeling.meta_arch import build_model\n",
    "from fast_reid.fastreid.utils.checkpoint import Checkpointer\n",
    "from fast_reid.fastreid.engine import DefaultTrainer, default_argument_parser, default_setup, launch\n",
    "\n",
    "import numpy as np\n",
    "import scipy\n",
    "import lap\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import cv2\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bcc9ccf6-f4c9-4e15-add7-0bc5983619ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "def linear_assignment(cost_matrix, thresh):\n",
    "    if cost_matrix.size == 0:\n",
    "        return np.empty((0, 2), dtype=int), tuple(range(cost_matrix.shape[0])), tuple(range(cost_matrix.shape[1]))\n",
    "    matches, unmatched_a, unmatched_b = [], [], []\n",
    "    cost, x, y = lap.lapjv(cost_matrix, extend_cost=True, cost_limit=thresh)\n",
    "    for ix, mx in enumerate(x):\n",
    "        if mx >= 0:\n",
    "            matches.append([ix, mx])\n",
    "    unmatched_a = np.where(x < 0)[0]\n",
    "    unmatched_b = np.where(y < 0)[0]\n",
    "    matches = np.asarray(matches)\n",
    "    \n",
    "    return matches, unmatched_a, unmatched_b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "21cb42f0-27a2-4669-a578-b613d2350fa6",
   "metadata": {},
   "outputs": [],
   "source": [
    "src = './13.JPG'\n",
    "target = './14.JPG'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "d717b671-1930-45e1-9b5e-555bb31080f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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emUwmHBzss7u7S117YmtBdZtjts3BrLxCNlSNI5q2cef8xsbBDeIMsMaVy/nrz2m6T4qK96mP6Bn8/k3c8v5dJINviihjjHvT0ODw6Ih4N4OMC5Zd/haDQ8Fhe4OEFO4u2Q/bYi+ryufflnsOr8HKZ3LqJpGLjAlf1ghh3M4eG+7Riwv5mxghhkhVVTTNJG/3gU3T9/i624JHNrHr4sBWCH0TuSp/7fz177Y5cA1MysQ8NBJCa0HTvqaqapzLi8t5/EZM6ZPapSbwJylcm5Onqnix7XW8JZbXZrBxz51S5jb9/5nwnOBwvbKmybh84ThmQh/ElKK0FdeRQor2nfZWwq3IwsazDu/LlWR0xawIjxZMCIH5/JTT01OaxhtnLWbywvWlKNGOVOTs/vY68vlJxJBIKRO72BgUV9ee6MWhaqb18U6wCSmWZzRGJb07rwVAlHkRqqosjvVd42ntUhP4WF5+kuGmcKWQI0XGsvdYWy+EXiA1771NVL7OcG1DFJIm6nqCKiwWS05OTlksllkEKr8ZiNt+rsX74+wD6VkiH7dNIi/XGx/LvByAqhLquiKlyGKxoAsdu3szYmqH3QKyT8yA9Dg1N4PiQmt9S+ZBM3LU0pQIGga9x3tiYRDO432DSLbklptlnEWcM2VSQJzHHNVMN8iuMnivQPYbGjEdX71LDD3iwVWFkmzjt1WfjTb93NvExawgxhgGeVUK560MCkzeorzVSDBg7q1OjPuK5IAFjHt1bUDV8eYbd/j851/n7XsP8eLxEooss0bKqcifOMzDKVvpKGb9dVUUyNDZ+MHtCtalrKyVL9ScpFJSnANXVyzbltPFnKCJqIpzFZpSjnwSELMOFm/HIsKQdxc7tu53Xxbipgw/KKyC9yETZ/HeLLGoioZIQnJMcuyZgBjcjh8hUs5JHnEFjTBy931au9QE3nO6vPULglQFYiocefAQ9GX0NsxyMiJCcQ43Vlpz9IvmQFjb0guBV3jnmc9XfPnLb/KZz/w2jx89pou2AwwROkUuKcpn5uIy8NEnbbpPFsXKYJQ/5QGL7G+RModHR3z5K19mMmnYn80Q8f1i0iR9ApFed+jlqO27ybhv25V8JYWAICQJOBGiCL6qDI3Jeo7puoMfpXi3xhAgkZKhMk7tu6TvFgJPAlrSEkiPehRXBQshi6M8HnGNE61da0O0GeDGkdydZdtCjqowaRraVeD09IRHjx4SQsR5DzJ2rBorgsP9NvtxhlNfoPWKay/fku9jkGVKCS/w9ttv8+/+3b/DO8d3/qE/1ItohaDHFuAxdFc4wib6cdFWRJnC14v4V/LUjNEsESHFyObVN8epXbVctF1qAi9cYDwpY/l1rN075+jaeIbbbJNzN7fi8fteWcQUMhHJBqeRfOyGczZf5XbSy/YjaO0Jz/o0hTq/64+lFKmbKsOekS60/N7nX2N3Z4dved/7+nQbhkevo05jJAqGQOYybpu6wHlKn+i68ajXhXK44CZE65yjZLjZNi8F8Wq7dxGBFyNAaWNoq3zejPIZc6BNpGLbBK43Wbt2yc/nfZVN9R0uGdGvEbc4ihu4HSvcMffDLrj1OS9C3EVeHcOlQg0ENOPiy+WKt9++T9t27O2NIb3h/ZPiHbftOuftiOV6bqQgbroxlN+XHVZEwK87U22T9Z+lXWoCLwRbiHw8ubDOpQ0RWedEZq7O+OuIUxe4zLhX6kWA0spvLJtUifUEUOq6wld+5LOxAePl8zav6UWQ84jrXAI3uK8ovflku16O/1QKvJb6HS/GYvIeL4bh2dYJSljzhd/Sl/MWhQgZcoz9QrLUbAPZFSTI7qdsikPr15O1vxdpl5rAyxwM22sGvUo6sD5Jo50XcyjbMInr2ZLOTuBYrh3fz0SMuq5o6poYEiJK17WG2TY1aFrr3/h9uTaj7bjIwM/0/IBKMtcBkbUdoqo8Xdf24lIMoM1AXGvJdADN47CNWw7EeTbrwPj8s+If2ao5iEC2yLZnGQMIqX+IZyLk89qlJ/AYjQCLDGcKzGB5G5vdvXiotjv+bBL3IIcWTl6UzcHzrq5rNBtBXnzxRW7ffo47d+6TYswW0BEn6neKYrnMyM0Zwr/w0w//i8GfBWcuXNw5j6+KYiekjCgtl8u1Z668Z+ygNxZ1LFxsGK9NxXBzLNfHPK2dNxZHiuxdvi+/H0S7YVzOKuPvEkOPmccbCgFa1LjgfeE0vhc3VFM23o1VOzUDhmQCExnEmLKFazRDCBYkO3AeU+RShKap+ZZv+SB3/tgfYbn8txweHeeYQrt/SubIX/kqE3dxGCoE32N8z9akbOv9geGdDIsm9ek1lBQTq9WSrut6wkuqayLLmm6gTxZRNgm0KINmBY69lbQ8YPG9CTGSNOKdwxWwADH/ng205jxA4CLtchN4tkiWVhTKruv6gXeuIC0Ww8lo0JSSBeosYuKw73GQVLAkPYVwilhhOLuI48aNG3zv934fTT3ls7/7Oe4/eMBibmVXnLNQOXMUKn4UNqHpDJe/aMuoDBn77q9hf0Mw40ldNZlrJsAzne0wnc7WRAZT8AqHLkQ9vs8gpjxJNu7Hrl8smwuQ/rPmNBGqCUlxgA3xI31i/R7vOhkc1hWcze1wbIqH4hQ4DNLYkWh8jU1HIOkTZg6yZRnwuvGk7Mb50ksvcOXggPe9/wO89vrrfPZ3Psdbb90xcWba0HWh3/5NZDbjRe7wkEHiIi2LIw7HmopnAnkO0E0gJU+j5WW/euU6V69eWRujAf588g03Fe1NZXAs8hX8vegxa1eS9XjZAh1a6F+gOGhtyvzvOgKv6notSylsmoutDQNydlK2vS9EntYUL8kEYyZwGFw3FWW1WlHXNTu7O3zrh76FGzdv4qTi8eNDjo5O8NO6dxbKd8PMh0OOkmfegWX8u0H2Btvdus7wlf39fa5fr7hy5YDbt29R180oiMDS1xX/jnVUYzxmZ0WG8ViV42NYdhBNzqJQ2+BaY0aRUhViHJlVnmnz/k9rl5rArTyHWyPI/quNQQeyOAA9IYw5QpYBJRMNmrJlUUBLkpN1GbeEqDkRfF31LgJOHLeev8V3fMe38/oXXme5XGKeMinfw8SffPcRUnNxCu/BQUcWS0YLx+ALvBOee+4G73//+7l16ybT6YQPfOB9VJW59FZV1TuXVfU4Q9g6ga/ddwtqskm8vUEnljR160ay3D0bc7F9KPsu2DXl/EUgIsR0NszwvHapCdx8hussZ5s10bkhUgRGNWSS5ecu+PSgaq4TeRlosj9GycTqnKD4nB7Z7q9plFdQoilzquA8QuTFV5/nQ9/2Qd66+4aZ8Em47FlXRFQtEJ9dcPuDDhtQ/qMjU5HrTfyi0os5lRMWbcutm9f5E3/8j/Hczes0TYX3jqqq7TnM14u68mi0EGotGD1k5brcuyTqNw/A3too5TmyuJGSXTuLRYW4tfi3MPaGH+k0vX5rUfX9KijMR0BDRAVSeJf4opjyZA785hBfjbjE2L/CkZyiyQKIe+LKHnNkf2yS9jIsMkLdRkSoUqJmDDK0eciTm9OoifOE0OLripdeeZEbN69z5607iAcpftZlbQh9SNx5IkpP/+VAfuPFvBDH2Hp5awqm48b1q9x67ip7e1PquiKmgLMfmVDjvDmh9Yt9CJw2r8Sx2X7oy5rfTNZJzIPRmIMq2Sd8LB6Wv4WFFxGrPHsajGY6fvDCjjQDX++WxD8pjpx3AEYJe3L+wWFLNU5Q8tpZGjB6ObaXH+OQTrkwqDOEpyOFdkOxKshBTIrEyIsvvsiHPvStPHz4kLbt8qTns3pFzfr0NGerAemQ0o2134iMcelkoWpXDpjNhkDjInUZcTMaq3HOcUvxHOLwXGNRcHvfzpZdTDkBvl2jPK8RdCH28lxlYIe5Ik/OEDQyfraLtktO4CFz8JISefBPKRxx0L61UAiZNBib6mFdeRlM+E/pRL7mGoIQLfazbSM7sxkf/OAHef31L/DGV94YCKAQWuGMPKnk3Yjjlfv1Xw39Z/TOec9kUjNp6uyHbedqUtyIew7POijUVmPTYLwUtefk5XHtr/TXWB/n7L8tBe8XdBQ8oQMuW0Z6JHrZ/0oycavXJ+z5B/jwXULgqomkkRSMsCwCpHCFwnWGuMwcDG7bpwPVDX+MLHJcBDpbU7Y20sGlFPHe0+at/tatW7zy0svce+uu6aq5P8mBw/rgUMtke8691hZh7lhCTeSyJ8xiUj4n0S9gVUtLXHkhZF9qzdvIoFSOElxSLJH09y25FjehurGiaWNsRD025xtDzlTcr+IRCEAZuxHdS/GvGcWz9kvgXULgUuQxtYke/PMUh8UeOpfN7SKIN4XM5m3d72JT3LAdNPUTu61t265FBFHNMYomfuxMJ9y4cY3JpO6NPyB4sdwqRgADlz57o9Gb0SkyklOLU9jgaBZRrXoxLaVIUk9MoR+lNYOKGMrUp0oWl5P9ZKYREyLbnncgThjnYgcLN5ON89kQHTeYhW5bPMNuU865aLvcBC7SE+wmTLg2dwKUSJ0RZxkbD8accZ0br3MWVe01flVd47nFgudy6t+6rhAEjcrOzg6TyYTFfGlyZY/eFNlZ2UI/dp+RrlV2GDD5O631t7y33Cd7e7scXNmjrivMp6SUTxnk3GEMrEduYwxK6mLwDKLBAKcWWXqTKO39QOxjY83muJ/nuDWW+d+p49WlJnDnzA+EvM3HHne1bFQpRiTmHB5OiFFgIxff5gAWAhkKVQ2TWiagVEqwo2ORxq6bQsCLNx+UGHDO8/yt2+zMZjx68BhNido7Qg5tq/3EEr+fO4eD3N5v6WgGewa51rh2CSpQ3v/+9/Hqq6/Qti3TWUOMbX5W1p55GM/1asWGphg6Yu49685VBeIz4t/WznombjIWGAJXgDMOctv6+SztUhP4crGkckJVmUVz0jTQb9OFswdiNN7jqwpSRgMy0Rcnn5HGZTJ1LOKJ9rJfD5lt5MbbHP7eeSinYtCUmM4mvPzSS9x96y5d7Cg+0iJC0kjUiC/K8Jm2yVVzPynm/TRSmK1NJg2vvPoyBwcHqMZ+d/NnYh7LHax4QLG2asrFBbKfigX6jomuoFXnz89m3scC29oCDGuR8r3rQ84Bvlm8YIwePUu71ASOqiXBD4HgPU6qkdvsUG9enBFwSkoxWCQZJeYcDZyqojGZbJ+ybK/r1SKcrnOVdahu8Ei0ihJWMmR3Z4cPfvCD/NZvfoYYghU7peTCtvvpuTXYh22772OWx5OO4clhB1JNXL16jWLyjrHLirXJ1zCIENb98c5mZVckpZzzpULjyhZKLMVulRKb2uNAG4hOVa0nyixoyyZCpUp2WmON6MdeioOc/2wpqC81gZdMUjFG2rYlpSXeVdR1g/cxZ18y7z3JnC6NlBkd5RYcmmCQmSmIY+IuXDDpOqRX3E2HyTM8XRWksuOTuuG5GzfY2dmx3ClhQC16v+pztKe1+RwE37y3xBGmPqrglgm9lC0sO0pKyerd9Fyx1CsadgkzmA2MQjXhvCPGQJSSwzGSku04LmfalQy/Sk/oDu/NhXnYmQzN8k76PiYtixyikkt5DzuEILnP5Pu9S1K3qa5nQY0xmsJfSkKnhOXcyKJI5de4tSEAOVxrpPxoEVNUiSPCHmPWm5/PogKpN26QceQQuqHjdktKWRMZHT/TRsrWGOXpZfGNwqlgRpyTk2OcL0Yclyscn60W5x3g4uh2OoTiYZWZvR/GOATLVhsz3q9a4NWSfrksf8l9W5u1zMrtexGfvQ43nb3Ks+bf9OMtoOdbDDbbpSZw4yKxJ7TeBTOnPNYMbfVBr20y+C6nFrNiO9k7paAxGDdJMRE1GWw21v4BSoKeka2iNybl38OwHSeNrNrAw0cPWS4WxBAQMYcn62z+7Tlb75i4RwezDD5CHYYe0LYt9+7d6xdw0uKPbv40ZZyGZZKwAJEhR3gvRigmkLgq99vS0ql2a7DgOkKSmUcfEUUxHDP2SxmjOHaNYfcZQg5HmDrvIpjQBiGMVvp6HkBxDpFRxE7wlhjJqcUyjvy7vbOyfiV3SspcXJyAFzzO8oKj+Z4lGNkS/Gh2LLIEkRVd26EyVDOYLxfcuXeX5XKRO2/rq8LjkhR6Ovc5oewUox0EwYtHyH7fMiw6TZHXX/s95qenTCYNdVMxne6wOJ3T1A2JCN7WlmXyst+rKDi1rGFZrDORa8QERHMipHK/MT4/kq/Flg9SoqFsP0iiaEgY+uUQdRk6xUo1arQsXzIqbSjS79B6Hp66pV1qAl9XNoz/DhCYEffApZ1lLgUj5D6S3IjDLIw2mcVSZjUyvf1WyoQbhanPMmzmScVzLiVHCi3eOerphLZtUYWT02Pu3n2LpNESE6WEaJ68lCftXB1zkF8HP46i3FpeP5VoinP2mIwpcP/efY6PTzk4uEqMgS4qTT0ldS2I5ixTji6WZEUu+5sJpTtFCFMZ0CQFQ6C8szEp8nxP5VaavN8Ry2LIceEOU/IlCarOPCyTR4CYfT5Hq7h/uRyKWP5epF1qAoexocLaNuuiHYtIDZYnJIGmPouqJu0lBGEUTCsO+5EpqhksNJGFoTRKSpqjfiy8rakMo1+1875/Dx/e4/Hj+4iLvS+IR5GMZChKOo8z+SEJT34gUMWlCtUqU5FDsFrvTsBPZpwuEl94/U2ee+5FkIrVasWVgylBlyZje4hFhDH2CcmheFQrUqngjOJdh0p2Uy11FH3WtvOCKP2yihgu4/Ou311Q7aFZj6FbvbHU2fdOBWEdPRlnPihzftF2qQl8Gz66+fC93CaKSCKVNAsKfSh5znY8wGdkIpY+b984QEUpeUaqXvbtJ0BBNdK2K1SVqql58403+a3P/BaL+SJnq009Jyv+Jz2atmXupKihhcZNozNkDsVlkSFJ2ZWU2jvadsnrr/8eL754m1ff9z52dmbM5ydMKovZ1KjgbDWmpCRiD1smiYZm4EASIbU2SJlQk6bs+juIJEoiZYiSlEjRZRfkrFc6Z/qhK3pmMrhRBMQYh8u77abeMbZUb6urdF673AQ+ylgF569sVeM0ISo481SzwcyFlxgyxpo4aRw55QJUaPbfkDRswwKisVdQnTO0AVVEHV4bTudzfu93v8hvfuYzfOH1L9KFgGhlXFszPqEyiCBlT9/WhOxhRyYw8xtx0oEk1OVAg7wVxRSYNMr9e1/h3/+7X0ek44Mf/KBVyU6OGMyQ42pFakeKkai2aSVRnAQbH0wZV13RZxcoY5oFEUcJaki9fK5ky3Iqzm6G5qSRcm8AQCZwr/2cjH1Ytrnovms4eBEqxtUTBlhpPTLcmI1pTqIlE1X2hdbMJTOxFUnTCCZk2bMQYuGcAhpzDxw++1MnVSR57r75gN/6rd/h85//PI8fP8b5BlqsiGmMkCyCxhnEkc0mQ0TOmVb6iBGXwxaeuJgXXjTNQbTn9s1swqMH9zg+eshyfsxqccytm7c52LlK7Sd4Z3VvoHgLKqWSRSqGnJxyzjTQTNI6ELrxYYMaXXbQMkkn5b4pWmrPU0QebJxFSSTj6tEU+oTrxb9NxjX2Ibpou+QEbmbldRm8RKDAeL8XBKc1qO9l7eHb7IGHMRfLBT54FJaKacVn2ojNWWoJ1czpsrwYlC987g1+4//7ab7yxlsAhM4SYWoAV7k+/7jtG1lkosjB4+ga7fs+sPa8itUWh2b5N6nLC9IU4rbtoBbSKuGrii+//hWOHh7zwvMv8if+2J/gytVrNLMJeFvkjW8IWjLwFro23cVJhUiTRYeURSwT1CguAmoytUNRpziJ0KSsn2hm2sl0hQKxSBb31HwYUyw6SV7EGwEU76RdagIXV2o7jsvOrTtR9X8LoILivPSKpjHtREk3PIYOVZQuhVy8SnqZ1+DBhHOTnH9EUe14++17vP7aF/m9z36Rx28fG1dNlq0ppUBVCSGtQBOWRzWSslJou4eMiLlMbH4/ovFi3SsLwlQ2GIMLvp4QVglPQ7tMpEp5HE44Ofw8D99+mxdfepH3f8sHef7FF5lUe8bJpQYmWbdxON/kpKIeJzUxmfuBJaLP40cyXdwxuCJrROmgVtAVRHNQk5QV6yyGlIdRPORnKMmMereIkZ/KkxKDntcuNYFXlaeu1wsSbXO7LHCed3lSiqdaphspZTnQvBMPvg+JiflG52tZwVeP856oQhuW3Lt3j9de+zyvvf4ajx89hhDRBCEbK1QstwpJEZeychVxRESDGV6w7flchFfPvtc+ml4yoZQ2AJ5FoQvaWZ9C4t6jJfNwyoPjQ567c5fbL72P5269TD3ZRWnwbgfxDaGriV0NDurGEVPXW0NFBm7rstk9hCLmABJYhWjKuijOJ8Rpr01Lv4jNxpDIvvEaIMe2jl0ZxoDCNqTsXBq58JnfoG0Is1pPornmeQeAmkxYDDiYR6EiRIRUMNnMsYyPOJJOCKkiFQ1MIbUQYuDBgwd84Quv8/rrr/Hw4QO6LpLSLJcv6YgxB99ivh04RTVk4jaZ28oPZreAnmDXOXixBm5CLJp3gXxWEaIA+kwDSDbVaESieULWUrE8XvFoeZ83HgVu3FduP++Y7T5H3VxlNtulqWc4png3paoc1bSlC0oXSu4Sk7mdgPOSid1T1Z6mrvG1Us8a4MQGjA6RDpGYn197ebzEM/UIEeenuH7WdukJfC1x44aPd2lFjgu5Ypc4j6umiGuIyZG0Ql1NGyCFihQdy1VHiEIbPG3rUYWmnoA45qcLDg+XfOlLR5zOpxyvXmSlewRpcTVE5qQwN1xbxABnxIgMk+lFu37iXYyGySMmg8t67vDerWAstqiAC4gzZ6pkakOGMLPcLkbkKWP+OQyDJu5SV3vU7NB1O7SP9jgO4KsWXy2Z7a6YNCsqV9HUiWbiOTp5wKo7petaYgxYTkcLbxMxp7XppGF/b4f9/T1mOzVXDnapvGdSB2ZNoKo6RBZIWiDknauIXX26OEuaN44e2jTVP0u71ASeovkV91t2KvjHSDnrDSSe5Btz/XQVuBmJhmXnabuKxcpxfBpZtcLJPPH40YLFKuLraUYUPDs7FVU1YTGH45OINt9OIy077hQmJzin7O3vktIpi9UhGpSYCvKQfZxjB2lFDEtiNyd2S1Jo0RSz78VZJVPPcPCCEgWQMCjECCWni0r27/aVyeeA9zV1tcukuUHT7FFPdpBqgtQ70OzjJgdItceSmtOFJ3SKpgXIAtyEEIQutIa45AxU5rYQcQ7q2jM5UXYed0wbpZY5+7PEzesNz9/cob6SqCrBfFkMoepRIUmkgm71usZ69E/5+y4qI6iELvX+HtaG6GvtcW5HoiLFhmXnWC4Tyw6Wy46jecfxsXLv/orlyoHbR5kyX+wTIqgkIuY0VNeBpvaITFGd0nWBmDpcdZ2Dm95CwyQR04rdWQfJRAYRn62cEVJEU0sMC1I3J3Zz8zIskUO6KaIMGPImgWt/fn9mBu+sdqdzPhtx7Np1NaGud/Gyj3MNeE8UiOIIqeJ0bkiOeEtPJ+JMJ0nQLj1dnJC0Nh1CtNfcvQcRJaTEagmnraOSRJOEwypyerKiWyU01jx3dYarTReSESxZoMcS9Fwo/ayN411UJ9NPlKr2CDVOPEJnQbVOcb6iSxW4A1Lc4ehEuP8YjudwfLTg+DSwWCYWK0cbalbthFV0KBVBE8tVMh+N3jMuIBLxPlBXjbmOBrPsOSdUEXyblSCmhFhT1Z66bgrsYemCxbzwSAFJARc76hxqf25elBFXK4EOWrA85zP6oqOT7a9znpLIB0y/SFQsVzktQ7DSihGLXorJRBnXG67MhUCTEtWRtECl+ZHEPndZTDHHKMF7CAL4Gm2V+DgRYqILQkx7XL86Y1pP8XKCsECkRbL4prHYNUrNTMkgbhqKzsq7pE4mFUjlcak2hx01CEtFUV+RmHG6nPHwUcPde4k370dO5475omaxcoTkEZmgriaqEEh0KRBiIJCITsnAS04UZAEGTlYZHRB8KaLUjeR/8YSYmO1M2KtzaW8vxGiIOtKgvkadYcYmUgyur5ttzeU0Y+iqaqhDDjEbYygAIXSmxmrxMnRoFNt1urZ3VSiIkmiONU0pGxWltxcggvhs1S17RIHvKJBqshqg3iHqESe0CiqebuVYtInj+ZJHR5FbN4Tbz9VcO9hh2oBLLd4FS23naoSGsqpT6SMUsIh3jT+4qkckJ/pRQWOF+B3EV0RmdHGXu/cCr33hPg8eOx6dOFahogvJApDJE+fMZbSLgS51RLXk7OalZ0ESzvne72S4vwVExFFNIDtmx10l7OiM2lndHqskniFHlL56We+qOsp1OGrrKaGxX6vBj2RL7CC4Wl+q4IfrJ7PeLpcrFos5q8WSYtySrLhJJnjIYhVG5MW6KnFE4CPZ2GwQApKrOSTLhZ6cM1dc7/F4uqR0q47VcsHjhy2PHya+9YP7PHdjQu0mQERcsgT4OviIl8CLcdjau8YXxaUJjqq3GSRqlIqYZpwuGt66H3ntCwveuLPiZFmxihOCQkyOmLI7Zwo9/h1zIiHzubCgBksmuW46hgGjHX8ux0zbTzhvilfTVLja4VLJC56hsWICp/hxbBh38nvj4GmA0srioPyenrDL78RVFD91jyclaFdLQrfK0fVGzOZHQiaqQSeXcik1Lh6KKX8kFw/V04Di751lfu89mqFKJxXgSeppO8dRDCyXxzgX8dUVbl3fN7hWV6RoNgKRIWa2LKShEvO7BAd3TE0Bc0YcSk0IO8yXu7xxN/A7nz/izt2WRTthFT0tnoCQIpYOIWPiRTQQiya2DT87NJlL+XpCmzLAm6Fs5bhzLlfzzTKjIyuJQ5SKZjP7QKCQHcMZEoCOUaGRRbMo0jri96q9FdBpMUoJDt9bHmMMhK4z6yPjwDLpYbmeS0J2ASgn+X7NrfuD5GBuWS9ipapI7S2/ISnro0IIFY2f0NLwxS8fs7vXcLB/lWkdEA1UKDLKyz4OeCjpJQZA4entkhN4BaIkCWa00RmBGY9Par78Rsudtx3Hy12i1rQqdFhQ6+AqZMYeNPswJ0Uk9pZMssJVDA/j8oTbsNnBjxxSiYTRYASQnEXZ90WWNqLDhREHHx2kLKQNFEVK+BzDMRgCFbJnnivPGTFjDOZ1aBx6JLvnhS0ifVqM4jHY3yGt49O26POi6JXPgchTXOFcwklCyGUcpQIaHDOO5yvu3V/y/O3ArVsznHaZqLOfvmK5bZIZxHxVgqHPUca3tMtN4JKteRJJ4oiuYpFq7jwIfPlOy8l8l8SEZezosIiXpEqMWsIqKQ5UQsklnqPQnRFgyS0+NiathVBBz92Lk5eiOewqkHo/FsvDkkrqtD4T7Gi7XaPYsaFjFEw8mttNh7JyjUK0zgleJWfnCpYUtI9k2mg6yCUmuuXA5OIT4l0P5W3i0/bE67kLS4RPSnlnxCMqrBQcgcYLbmfGg8MV9x7OuXbjKl4qSIojjp63WDuh61pDr9K7JD84OXAAJ3QIR6cdb7z1mK+8JSzaCW1sWHWJDpDam/KHcUqVAZEwIdIMF8BoKx4majyhm24AZzzestOXlQeJeD+xbuaEn1m6yOcWEWUICdtsm1FL/fEeVugPZHFk3JVBbOpTZKiu/y6fv+nM5EQQ77MotGF80k0ubwtkvNMZfh9yTnUHZFAg+wO5eSR0p7z4fMMyXGVnUpvnooZBfBr1szCRd42SWdUYV5Sa0NU8eNzy5TeX3Llfc3Ra0QYIOKKp3qSSkL1Aflp8voe83r0SWHbu0f02iWy7K+d5ZDr8Zs2MUxbTGOw+53dbbjVohQwLZewIPFx/uLqMVtj6jvAEHD4VOV2efO5GB7VPtATgQa0mZ+wCIXSkpNx/vODBwwXNLc+kVMUrIteW21zo1rldagI3Ba5Gqem6mnv3D3njzoLD431WbfFJAzQRug6paoppznyUM2FLlrUz2KppTGjCphhwMb+IIdJ/SIuQk2z2/6+BjnAOkZ9PeIWDjzhrjsCRjM6kIoOTMh5uxpv+imslA9cfe7RHbe3Dpoy+8fhIdpBJEkmSQAKaidzbNBCpePBgzlt3Dnnuxu1suEprCu3ZcXiXoCgmYjSEbsbpqefxo2OOjzxdmKJUxqhzpI0rkB+Zx6o5qNpkj/3ICwFDQSu2xXyeT+SGjNg9zCpXCKR3IYCCNDMQeZnU7dS2lYGP3WVH4pX5vpS+Fi89w8wHRXbklMUG1yf3v6enIWJqU0Q5vwmotx9la1mUHCyh5m9e4UlpwuPHJ7z5xmM+9IFbHBx4Q6+2XL+M/bP4hV9qAu9CgM5zuhDu3lnx6IGwXDa0nUejWJUvb2kaKmdedbGgb1nm7QWKzQE189zafngxEYWRPJCvseZA1f+adQI3rPv8tn4vzX1UyWHLmtMbF5El5yGU3q6e/TvEMgKMnmq02NafrRdpivST/78QDq2CUOd1m1DXWkAyEJPiU4UXK3VYy4THj1oOH7c8tzsYlGA7B38WAr+4zfMbsK3awKIVHj7s+NKXj3nwINC1E1Is7qkW3e2KDiTgSTjR/DIkxmhCeyK37E0ecX6NY5d2EfmzN6uvEXDm5v2x4btBjDn7st1l41hRMCU7WAmjxZjPyzuCKdVipvQS1q4WRUNW/qwPxYc8W0jzq/RvPBbn6gSjxS2pRqgR9fm+GdvG412NJmHVJqpql9N55K23HtEFgWw91o0LjytWXLRdag4eFVJqeHySeHDoOJx7Oq3BCUk6g5tELaBBNS/nkqNjnXMalpu37DXReF08uEhuDhHXLxbnPEg17BbGbvOZBas8H0F5YstiVv7QbxLSvx3L5goyMmqNFkSvq/aK9hiGWe/yIL6VMSgE50fPBSCk7KuuYu7Grsj+AqKBqB0ptSy7ClXP5798xAc/uMvLt3bx0qJpSYWFDIqUPCtlUV6sPTMH/9Vf/VX+k//kP+HFF19ERPin//Sfrn2vqvzET/wEL7zwArPZjI985CN87nOfWzvn4cOH/NW/+lc5ODjg6tWr/LW/9tc4OTl51q4g9RT8LqdtzWmcsNSG4DzRR5IsoFqB6yxbknMknCEpuFyioyToyBElWUYdILzCGDdx3yc3593gP5IJKYcGZE5a1pdiqrAFEKyzwOGl536XQANozAtK+7+9+JxRIkthlxCXcm2fwvXLS7MYk3Jai/wisgahkrPRZndcy2foh10vvxAIbklwK6IkwOO1pqIyrppakA7fwEnbsUoT3noY+NwbJ5yyx5IGFWf5WXxExLxEKXrFBdszE/jp6Snf9V3fxc/93M9t/f6nf/qn+dmf/Vl+/ud/nl//9V9nd3eXj370oyyXy/6cv/pX/yqf+cxn+OVf/mV+6Zd+iV/91V/lr//1v/6sXbFE874iJOH0tCUmh7g6b68Z1noiTebtvk9lsPF6h62IPSZv5gxa+QZr7lrj/GjPkG9vvfdnXzAgHGOHKMsQ69bSsJmUM/RuTSc5Iwqkc17bF6ZxiNh3yly3ilJrO0XSjKYkpQvwhS/dZb5QQswImUJV1bkWU3nwizEaeAciyg/+4A/ygz/4g1u/U1V+5md+hh//8R/nP/1P/1MA/sE/+Afcvn2bf/pP/yl/5a/8FX77t3+bT37yk/w//8//w/d+7/cC8L/+r/8r//F//B/zP//P/zMvvvjihfsSYyQ5i4SJISJS9+KBbaUyABNlcM6R3y4+ZE9vxYRdeZ/9UXKSyzTO3/fVbb2BJxOD1RKtaJoJYbk6s550xPnXvCbH29kTR2nzuZ7EJYpO4VAd+aG7yJ23HnD//jFXX71C0sTEzwhhsYbybCuGdV77A1UyX3/9de7cucNHPvKR/tiVK1f4/u//fj71qU8B8KlPfYqrV6/2xA3wkY98BOccv/7rv771uqvViqOjo7UXQLsKzE8WdKsA4vG+zmbpkdMPW+TqjTb2Ldl8PTvl50hwL0ynE5qm+QPJ7/FO2qZiXNc10+mUqnaIK0aYsT6wjWt/FfrV/2dzY3a4RAiJVQtf+cpDkB1Sqqn8jNUyWOidcxSp8qLtD5TA79y5A8Dt27fXjt++fbv/7s6dO9y6dWvt+6qquH79en/OZvupn/oprly50r9eeeUVwLa2k9M5R8enxJDwriLGUkAqBwikwnu+doCROKuRs7u7Q9NUFHn5WZyEft99GFFB4eZG4BPqus6pHlJfCt2YgfY2Aj3z+v30ZuznXsDGotNkbq6CJocy4823Tjg8jAg7KA3eT6l8g3fekiw9w1ReCpjwx37sxzg8POxfX/7ylwGTzVarjqOjI5aLlZFRKgWMNuGkrx1xVZVnOm2YziY4Z3kCk8Znmpjfb9tMn1HcTOu6pqpKRYbUv/qmvy/1Y6Odc6VioFIZQZGCqkfTlMeHkbfvneLdLl3nmM328a7G5zQVzyLm/YHChM8//zwAd+/e5YUXXuiP3717l+/+7u/uz7l3797a70IIPHz4sP/9ZptMJkwmkzPHNQldG1guWqr6gGUbqKqGlCyFGDICF0by5WbWqzPig6zb9Z4E4RUPQ1Wl6zqqyjOpJ+zsTplMaoIGE1lq3yuahoywJqYqrIWsbfZpO/ar527X/XPqEA0kIsxmM/b29lktlqgmfOV7Du4yrr6GEvb3HWTwYeGU49v6WHaD0c9HbQjDiwhidYFIwIT5PPLoUYsypa52kdTifCSSq959vQw9H/jAB3j++ef5lV/5lf7Y0dERv/7rv86HP/xhAD784Q/z+PFjPv3pT/fn/Mt/+S9JKfH93//9z3hHqxBg6csybFHen+Ng0SMNujExY4vZM+zHY+uac46madjZmTGdGve2c8hOi5sTsw3/2H79d9Q2CLAgS03jmc0mVHXVE/6a+HQOJDrGgs5AmRvvdQ1d2fpkDMk4Syo3T0oNoZtw/8Gchw/nxOjRVDwRC0T5VYzJPDk54fOf/3z/+fXXX+ff//t/z/Xr13n11Vf50R/9Uf6n/+l/4kMf+hAf+MAH+Jt/82/y4osv8pf/8l8G4Du+4zv4i3/xL/Jf/9f/NT//8z9P13V8/OMf56/8lb/yTAiKNUsJoTpY44qDE8AQnFrkvvXBPjOFY46eJ/48XjHm/oVb1nXNzu4ue3s7TCYNfZpg8rRrOrM7fM2bQD2p2N/fpWtXzOeLHH3PObRYIKgC+xXj0ADB9pxbtu0029AX2Xhv460ixOQI1Ny595g7d/e5ub9L5aT3v7KI/69iRM+/+Tf/hj/7Z/9s//kTn/gEAD/8wz/ML/zCL/A3/sbf4PT0lL/+1/86jx8/5k/9qT/FJz/5SabTaf+bf/gP/yEf//jH+fN//s/jnOOHfuiH+Nmf/dln7YoRd8rhZCXVb/5mHRvMbSs0ln+xoZT1hPu0Poj03HsymbC7u8N0NsnHYyZqgJJB/+tK3gBU3jGbTZnNpqxWKwoRrqP0wxgOlsthbGB9/DYJ27ILnCeDl6mQjI0r2XmGlDyRmsPDI+4/OGL16ozp1BOCJflct0Jf4FkvfGZuf+bP/Jkn+gKICD/5kz/JT/7kT557zvXr1/nFX/zFZ731luZ6DFw156cme/CdMwhjZGDzeOl/+fwk8WC8CIoCt7Ozw3Q6zQhF6JMya9YB+uyrX+fmnMPVNTs7O6xWK5bLZY4VXUc61puuL/xziPvCfiJKb0U2ircQtZgcTjxdgMePjjk62mOvUUJscVXqGceFn/XCZ34DNhFHTEqIKY9XMSDAsPUxKHIXGPwn+jhvPdda0zSGMfuqN0qUBDpj4hh+vO2CF7rtO2iDiCFifvTOCzu7U/b29nIQ7zmhbE+78nhMy/tzh1DPfJ1tyf0nVSEESFF49OiYt9++T9cGVquO0EZCF0nhXeIumzB3yxBryPXFxGUtW936dqvjIR1znPXBsm3YlDHVUr0YxlhKgeAsqWWirism0wn1pMoJcsjuAoP0b8niyW4BZYM+yzN7Iaa80XeG2w07+fj3ozuKUDcNs50Z8/ncXItzoEdUxWkRW8Yd2iTo8nesoA9fOTULrlMdiRbF4arI9OU6JXW0lRWMybFYRU7nkUVn2cO9JlzG7i/aLjWBh+Q4nSsh1EgzI3YBX1VYaZEKyW6zFik/KkUyEkPGLphGuCXRTN5Bs6afsoK47lpoEzTbnbJ/ZY+qqbKfR86NkteOk6GKbx/TI+vqG2xTes85PnSAC6msI7u7iQFD+fDJtOHg6gFt6FguljgRkhqtu16EyFx2k7jH6JOOsKDR+GaEe0TUjPiNfU75NyICyeH9hJAcyU2h2aOjthIw0pJSRyoVoy/QLrWIEmLOVz2q/TKWz3RMAOf6L2wg3mvypeX82CRuy8tt8uB0NmW2s0Pd1Mbtiefi5hvC09YefLWbyFAROqlSVRU7OzN2d3fx3vUBvSXgocB9Y4W7WD0ZfV4ndl171u3t/DGKMYA4Vm1gvmzx9QTxVmFCtWS2vVi73ASeIm3XZf9vzBV1U3lcezcSWrbhvGdQFiilTZwfl7k2duVcJvDZjLquvi7+Js/cRoiI/RWapmF/f5+dnd2e+GOyhVqet0e4i0lfi8V43Rran/kObfvmYRhwzrFatRyfLCh+Rj12/gzDfKkJPMVEiGEE1eVwqk09U3LtYmHNiFFEElhXLgcubonl1ZlsnzSQ1EQdcVA3NdPJhGZiCYhwmn1lv6bD8ExNsSrIkjNuBU1ElOm04crVA3b2drP+YenTxLmsU9iuFTHoM6VAwnI4phSJGokagFKkanuexaf1jv5eShsSR8dzjo9XKJX582siPgMHv9QyeIEExTlSTPi6yXF/mjNMD0aWnF0S0c06OGP8O191jImn1C+OlAuf+srTNDV7+7tMdya5/F1OWSnlmt8IgOD2Npb7C3wp3jObzYgxojExXyxMP9WzhNqLK70OMxSgSk+BV5/WkgZEIEaT34+Olty995gru3s0VYNoZ2XHL9guNQfvSVhc5uC+r0dfqh4MxF3gqGeLzik6qXE8wdfmSLWzO2P/YJ/pbIp4U0KHYNlnrwb2tWrj3H4KFgRReauI4oWdnRl7+blUY0Ys1kWOlLWQQug6+l43Xs/aTDSySswhCqfzxNtvH7PqsLRvfjTHF2iXmoN3IRgGriDemwchg8sn4/c5ikU2FMmidJVUbJvEL3k/8K5iNpsxmUyYzmZMZw3T6SR7A5SEQQNhb1s/T5RLL2A13dbOW6jn3WuI2rHdLalDo0XdiHfUruEgJ7J34pgv5oQQ8ELWb7TXt1OGIJ2acq8p4Z1DnO9xyvOsxZvW0JKVt9TgjCpUWpGSUk/2CbFCpcb5GrdRWe9J7VITeDG+2XYpxFKUNLeeoPOgbQNSxtbI4nDUf/beRA8vzGZTdnZ2mO1Mmc6m1E1NSCXV8pCTsKDH71DHeub2TpS5fikVnB1MN3GWQ6VYZb2vmMwnZu1cnFp2sKRZNCneirlE40hsMLHGFMLzYMzxuA++LCYuhdDi1XxSFsuO+/fn6Lc9n/cNv517nNMuNYEPUJYMsGwWQVQSSHa+eooBEQqhmOxc8ltXdcVsZ0ozrWlyoEBVWcWGLmYsVooY1H/8hhC/n0T4g1dgX9NsZHMxxbqa1GbAmtS0bcvRkaPrOkLXDTnQ04CkkAaYUBkw8PMU7q0uyzmDQddGqkkNKRJC4q27R7RdhfgpkdNcbvFi7VIT+FjWSyMYUFFcMTHkUn7GYbeP95Awchh0EbHAhZ0Zs52pleIuHKeHzmz70JHRhnPu8Y3SBrdWazl3fRZXssjhXc/cXeVp3IQDOegJ3DLO2gkpRpbLJcvFgtBFS1ov0udBf6Ymg9ux9w0pBLyvODk54t7bx7z0yk1SOEGfQXW83ASumh2rxgpOzushmFjSCw4XudZ6knsj/NgrmhZM7KwUOKBpkGd7VCKb9p8UF/sHiZc/m4gyIu7epp5LlOTFKs5ReU9KiRCsfqc4x2TSmCGorixPeL5iIciu6yzTGJmhODhv2M/rc0m5WdcNQo0mT0yO1Qp+7/Wv8Mf/+POI1Dj3bpHBR9tiHyjMWEnMfPUp6SMKshDCYLJPKdGuWmKMlgHLOWLGjDUGYoo4X0B0I2y77QBQfj05+ZOUzDRSMgsRRnLBWejFjnHY2+A4Ri6cBRpNqZxMJj3EGELolc2Limo9U8mjZmVQFOcburajnkx4+PCIBw+OmExWaHyXOFtZnZps3VKXsdhBnjTyln6gFfrqIAMOPBB4TNG4chZZ2q6lbdt+sr3LyStF1yzT0itrQvH5XncAGJqdenbm9Zzj/e/+wLj+ZmWIcR/USgaOS7OIISTegSuErWqlzzMi5bxjOp3Sdi0hhOzr4nuOfA7OUx6sR7lMmrSFkZKjrmbEkHD1jJAib957wM0bKyreJc5WWjWIj1ZwKYpVB1CBJPY3j64iWQeympBjkQYyrpsSrvKkJIQQcCKW1ySXCTQIy5CGLnaosxr3ZYkZ0aTBzrOm2Y6RnXOe5R2btp8NJgT6siZbftUHuaeSsEhBnJnui6YzRj3EC4jHVR7nPT6HwcWYMBLfdGG2nDHlkOZisn1vEkjOPBaj4n3NsltxuGh5+/CYF993k25x8Sxol5vAs0us5ExWJhMPlXJLzo1x6uIntSEL1FCmpL8XWdLOltLeDYAtpDKirXdKuF+vdqa/vVurjpCWolJn38gMqVooWYmw6q/IMErjgTlr7bXdLeT7lJTWg66wXHR4KtQ1F36eS03gUGDBQavufUjUqo1RxJaLXGtDnl+L/inv+zwrT4/O2YTCSvtaKJnnL6ynK92bxhmLeR3rO2SFHDQZ6/DO99kFUEvA3zumbW0buJOCse9cIylBqeAsKCQIq8jEz2jq3Sf2f9wuNYEbFGvEIuJIuVhTIZ8C46WkTw3j20yDUOTwLnRmpSNr7hdwM9HSOb7xOPg76Y3J4t5MltGuYrQ7cGcpurw6yGgTY9ZyJh5VhlcvMgriEqiFIJo/vyJJkQixJadkftdwcNc750OZiCEfYSHYwWfi/Gacar3uZUrJsN8QmZDLBF6AwIvCuS3u8+sHET779QbIFNYQKdXetgCYYhoCMSMoawJhj5cKI84zHFuzxFmZQdshrIiBS1Y5OkXBpZrQSrZxXKxdagJXnA2ual+MQZxZxPoiqhnnjSnhON8LrUTxjMUKVSV0ITvgmyl/PfL8Gfr6NebkT7zfMz5A0WUMtUoD8lGkcc0E3oVcg7OQ+EWeWTb+WrVqS3GdiKrEBDEJMcJi0VJXF0dRLrU3YeiSmW1TVimLDJi5dsrlWNMa0Z69zuBgNRh5Smvblrbt8pxahM9aXo6yKHSAF7dF7Y/btu+2B2DomQX3LL855+5P+O68a2codkOkMI6eEMn1jpLZDGrnrIBr/9v1fiqDc9WghBpCg5vRxoaYjNBxVrNnZ2+HVeg4XS7QZ8jxeKkJ/OGjQ46PT3NUvXHynN6d8dAN07EhqJwZ+xGcN14oGR8v5xSz//Zfbm8XcdG9COT3rAtny03O3OfCi6Jk7QVKUn1SIHYrYuzsWDIUyztbFELJfeLWJwNdI3CLY4UYIUVzibW0Sx3Od+ztT/A+EVP77ql0fHI6Z7kM2Z/Zo6N66esw1eY2ePEmYrh4FwK+rtgmW/9BtrF33Zqn3ahd5Nj5i0mfumDOfN+noy6fTRGUHLmjRFLqcFg1tRTBOxurtMZFykIxzm8dzccLsUehRmicEphDOsL7ObNpwx/60Atc2W/wbnHOs51tl5rAnVTZb7kmdtHcZQubKOb5rBBZmMg7U/C6rmO1WjKrdkFyhP0fcNtMOLTmZfcM7WJc/Oy52xTi/n0/quuVHVQjzimVF0SjfZaMo2rCyCtDjD2KkrK+Oca6hkoRFQFHoiHg5RHOHUE4pJuvuHXjVQ52HOEZouovNYGLq8zxKWDR9VVO79UPcK4Wxhpg9UxNVVkuLfvTZDazmu1JeaIv6B9Aexbuve27J5v9zz9363uVXrqwOpelZk/MC9Lq+MRuhapQeQshVBFQNyAvZGYzEhoR4/q5VBgVHT7N8WGBT4+p5IR2dY/H9+7w+c849r/725nNvoo1er6RWrGcqVpO7qqqBotj3wrnOBuN/UQ7RG4xRVarJcvlyuIVlR5OPHObp2GRF2ibUS/bEtmvGaA2vht/ftKr9Hnb+/VzStylRdmrZo6uuTiVRJqJZ3d3hnjb7Xp2YlojpYSgKahDhl+R8aApEJBwhHT3YPUW2r6Fi3eRcJfu5E1+5//3Ke6/+QV8erf4omhCUwepxTEjJkjRjD5m2IkMqXYKFyl0Xmr45CQ/aGY0iuSo7cKtui4Ru85q3OfzsjVnzRellM8eV+L5/cDezyLrnwHlVM9da5L7Xt7r2vv1Y0XckJTRE80nZQ5eO+Xq/pQ0cRw/hO50BcFgPqtel8sLqphSil3PRJmAEEBbVAMuLXHdW7juLsIC0WOEllpP8HhWi5Z7b32Z525cufC4XGoCT6mjqSJdiCyWS/zsIEeorEiuRVIwwksOSZaOrSe44omoloqg5O4ucJclz8xJb1K0XN+SDC0QRWM0f5WyO2hxYhoV7JD+v6fK0kVVuAhRr8no5ffj9zok5Wd0rJw5KiTcL4Q1pbxw8LKIE4hxDjO6YGFtLi2oXeDG3i67kxlVe40vpMDjwwUiFSrRxiqLJ64kvY8R7wOOBU7nEE5I4RTCEVX3JnV6iNIiGkgp4oi0y5baz3jtC6/x4isvPXWMSrvUBE6yYqHedTRVzkCVHPhSWTdzDq2Mu0rHMJ3FZ3vTV0UG5TQrrX3gQzIjR/GHHprm63+tHnzj7heUvUsrO9XwefSevNh0fVGUP5rFDGPmkdjOSaHi+q1bTD94ndSd0LWHrLpIqy2iUwSrIpFCoHZQVwnSKZJOIR6h7SHSHUM8xuljhFPQHDyhKe/Gia4LHB+fnFvLaVu71AS+P6vY361oHy/xMgNt8aX2It4cftRBqm2nFZPz6LdPI2/Far73AzrG0VN5pWzkUWPRBYvNFGE5CYU+DvRr1J6VuBmLH6PfPEnRFCVXGXZ5fMxzM8VIiHPaZcLLLs/dcMQP7hKT5969x8yXC9pYQzJkKKaESwGnAcIcTSdod4R2xxBOkbQAWeZSJTlblpQo/kRKkbZtefvt+xcen0tN4K++dIPV4oTHDx5YFV0/AedoQ7QEDurzqyifYRCKNddw1+y4L2lAC3Qw2wum4WtWttBxXXmGrb5PS5G/0tE5X+X2rER+UQRlXekEipJZFkkILBZHzE9PIO3iRHnhdmR39xp37joeP1Ie3J/z4O2HrFYrGoQUAqE9RbQ1OTsaYTtdAl0vMvVGoMzBRRIxmvXzWapiX2oCP9hJ3Lzu2dtpYXnCMiiOKT5b0FR9VqiszInxBSO8EsVtLQeYZReWmJdDkVVd3rILMffutPnXGcHOnwo8+bUYgXfAwZ/ym/OQGiWCVD2Bo0oKkbBaosEzqQOpe0TXnrA3dbzyArxya487V5TfXhzzpQdfAoXKCWk1R4hUdDhaRFY4zBKatCJqcYXQLDFa7G2MgRDCu4fAHUe88uJVlPdz9yF87rUHHC/mIDVRPSo1Qg3URPGUzK9StlqVjLGUGu0Wr+hyirakCSHhsZrtPWIiPhP4hsGnrIKvFfd+B8S9/vOnc2/7XHBqy1eAJjMzJMGrpwJSO8czh3BESAFJjsbDS7caDm/XvPWVI+Ync3xdI6HNIXART0A0gEasWndkCPkZ6QaZqbRt1xcCvki71ATu5ZiDq1fY3bvGiycVy+Ujfud330S0xtOAzHDS4PwElYrWCSEXqyqKkkEeihPQ1FFJJEmgTS2kDhWhrjxN5c1alzwuczG3ETr++5G9n+4P8uzX+/30YZ17m09IUodiFSw0JVJIaFSIDkLOwusqQuwgdiSdU9czbt8+4Lnru3z55CGxa7P1GdBoBE3KusFo5yiI19pjlHKN7xIcXHSB6CGVT1w52OXGlSU+3aFrBZEpzmUCp0FkguoERw1SUBaTwyUTa9AVaEDjipqAqwR1FTQVdeUMPowd3lf2+6pUJ+sxPvs4gge/ugOQnVKfkZi3OVuNocezhqSshxAz1m95xGMboI1UMqHxMypO6aKQ2kRManJz6phNa3b3prgMr0pVyM7ESNsHLT1HOuPrUz4rXWdm/s0U2U9ql5rAfaUoc4iRGE/x+ja13GXZdggT0AaVCku9W6N+H2SSRYwKqBDMGkoUJKyIqYMUuH7tgIODKxy3wiJ4nIuk0Jro4hvwYv5CZTs1axEl9YHy7H4kX+92vtXUQsmsJqkpfikG2uUSHyO1r6l8jYQajZ7Qecv85SLeWWylcw6f00FoEnCDQczQp2wQsrvmvuQcN9a7/P2zLeZLTeDOV1azJS1Ynjzk5NGXSMs7uDYhVDitMBwcrIbPjCTTHE6VHevVG8t1lo0ppkDdeF66ecALL1/l9948oTtS0I6U2t6XwiHZ4lfw7+Ieaj4Yvf/iJSLybQkxU8regsGqDItEJELoOrqwRFKHuB5UHVCWaKGCtSreCY2vqL2ny3lmRpYwVFwPzEqOupcBjuqBL5PDx1H6T2+XmsBFa5x4vAucHt/n8MEbaHtIo9pbL9HUm6ATNZEaFUdKHk2epJ6YMjdRqxrhdcqV3Ze5eTXy5XstqkqMHhcrnKsg1+Axf4vBYCRPqIN5nvPUN2pLKZkYEs1LMLQW2OBcRJISY0uILT4tibokaWtmd8negh68KJVALULtDEGBnA9RdchPk3c/oOfcAxcfPpeSkU9MG7bRLjWBp1QDFSm0PLh7l6NH9/C6xBUOS0Ky37KJDI4gYinB1BHUE6OD5IiZ86TYkdopE3+Il0NiOCaFmugqKg0ZfVGLPXRm2GFkxewnaETn44oSl4HIzXKbcvo2i7O0qL2c6F8jIbTEuCLqiqQrkqwQaVEJ4DrQhBe1V0aifFYqbT7MBmE2szEetR63OhD8kNf9WUbwUhM4SdAoLOcr3r77NkeHj/HJ5ERb+zaYhcC9ZIS7wHiaa6TngQuakCw7VnWLuBWaFhATaFOmxQo1ScR72xecFAIfIjZ7Xi6DEleOr8mRT5itZ3WXvci50j9/kbE3zk2ak2tGNBX4LhqcmuwJU7LEPjFGohiHVw0IxcPQbpSTgFF8xy3xXUC0kF2eJ7VkqSOpJfe1F/QohD8ODr9Iu9QE7l0ihZajR4ccPzyhTg2ikjNVxTyR5DoyKVvgnIkmyeqfm+UsElOwAFcso6p6TzPd4dpB4M27J4RugmsUaSraALNZjWrMk2rYuq2bzNVxJcqQkr5iW+s9+RicteDiBpzzon/OWxzFz6Toa4MyaabxFAOh64ixs8T4KSApEMMKVY9zU1KCtlNCFCondFHBeTwVURpcSoaNJ09ICr4iAp0qrmlYtR1eLOJHFBwOlyw4vIzZyHOMIhKOq9tdtF1qf3DvoPKe0+O51TLXLC5kKMvM8A5VbwplUSrxQIUWBAUyAmK06SqP+BpyLKFjEPuKrB6LbJj9JQqmq2oZWbeJKBdtTyLUPsnoSCE8z99789y+HyPiLuKIavYtCYEUgzmWaYLMzc2FONjzpZjN5rYbaPb5ca7C+wrnvBGtc5attq557tZtrl67StuFDU494tMbi2/TXFaKFJQkoBdpl5rAFVOG7t9/m7Ztz8Bc24wnsvb/Bh6MMeDK20SBo+sibdsRupCz2eb1o8X5v2hKmR7O4bbnRcBvft4adABbifpJ7QxRc3bhjAm8KJQxRqs3dGZhZZQkRWLsDE4thbcw/cb5iqqqqGpHrn1rhQSqilu3b3Ht2jVWq7RdDx97Tmx9ngFFeRYCv9QiSgiB5WrF22+/TbvKBF5k4TVLXG5aOLBm9GODSLLg7FyFE48TR0xWEEl83t7FUWavyNmWozxlpEZMpuwJdXwDoUBp/S1149st35n4MXTS3hexR/Jb680ZP3HNAFzOOapqmaI017cc17lMo/zoBd8XEUtoDyiJpIEQAyG2FkHvstiHIOJx3lkCfY2kFLDEmo7d3V12d3fzWLGVyDdl8G2tKPgXbZeawFNMPHz4kMePH9OFznJ4jx6+J4SSqaoQ/Qb3SqS1xWCBOw7naupqiq+nUDV43+B9TcoT7sn+KAX7Zfz36bLiJjHb754uR/d/dZ2Q1/5uHOtfKcOmmeJtDIqnZOaSOVhCFVIamAYoKQWDCEOgUrVsBhjsGhVwglRihalyCcJSEubq1ascHDS0q3YwiIn50p8ff7T+7M/q0nCpCdw54fDwkOVyRUqJapxOTIswN9qiMwpQSnBonthE6tO/acK26aTGyZ3P1k6POI94P3K2stYjtVo4uDlybRMTnkT023yzt323Nslp+4LYvNZQldiSktpusZGkqEfkZLT6dMgJo6Bqmb5SCvlUD1oTkiPG7GMiinhF8NmNLVJVFc/dfo7bL9ziS1/6Uva/TwYKCNkF4Fxd/B23S03gVpUhoKpW6s5V/WT11Qh6KpR+Ao0zxcy9c1hV9nK1askO8CwXHacnS2IUc8EVj6rgquwOm7fx4gmu/eIaMmWtlyQclLwSwLshPzEWYXREZOXzGRn9HAIvvytiSeHI/d8e0By3AT4s10tpUELRREzR5G8pKdw883nHyfGK6bWKkLCIJzU34xA6Cw4XuHHjBh/4wAe4d+8e7bJDk4WxubX7ypqYMt6RylC+a5TMInOKCDFYUIJZ3kpZQJ8TZmYLmisJ2fPkjZUpAXFiCqarCCFxdHzKycnCiNrXOOdRNccszds5/a5hyA3iEDH0ZfNVNClVSFHtlfKrf89wbPQy3Dmtv49FjDh7frmW6vDq+7g5ikWB2zLChq4ke6WUGYONMeJJ6jg8WvLw0SlJPYjH+crUFFHa0AK2K06nU97/gffz0osv9de22NGSc319gZ3tp/R9vWi71Bw8xEDXdSY/yqCMnUEgIHObtSMMifFzOjZVq7DbRd584w4npzXzeSTEKTWmXPZohmQDEYCW+kAlVdlZNKe8Hx9b47g6Svt8ARFl87yLoCqquWx3j/wogwJ73j1Hol4fi2l6jiYh4VgtI6cnLaGD6c4EdWbh7HIaZM0msqCBq9eu8qFv+xB3797l9OQUHMRgMjqmq+fNcTDuDO5rz94uN4F3geVySduW0nbbB6Ff8Ymeu/fycT6n1EyKUVmtVvze773GbHfJaXebGCY4qfC+tnIpzmc0xWRIzVm0BjfZ4sYKjBCdobTeJoHnCTwjmtCjIxl/6ZXLs/DnSFHbGIZCHq4QzXk4XXkNXTnL+XU4bruHo+uUthOUCeI6QkqEGAZFVRPeeWKMTCYTXn7lZd73/vfxW5/5XbpcLsbmZZT1oO+T9jtkP43PgKJcahElhNDL4AOkdt7ZY6htbAQZtmjvK+q6xvuaxXzF48dHrJYd4HoEpfdmK1vlmKNnEcWGtXi92fviHmCEIfnz2fPOvLSINzmBjq5/LxQleHgv4s9cp79GcWCS8RiUZxjGamhFVyg6xXA9S51XI65BaPDVFJGKEHSoOi25/GIWJ1erFbPpjA996EPs7e0RutinuLBFO1bIx318Z6R6qTm4olRVRdPUVqBUB7DpjAN//6tNpc8GMCYF0Vybx1M3E3AVrQnn1HVDVdUElwMl1i5XuHYhVF3rw7YMVWcyWMFgLR31+zwDkWSRaxOpOW8X68UNhXH1BbuWceNeENgq57r8uC7XMPK4nKYNDSxXliBp0tgidk5oNeJdZQYkFxAnxNhRVQ3PP/88r776EsdHx/0OaDU3h7pKw3Pl3AdPecZt7VJzcCdWvm42m1GVKJE1ohigJ83xla7fYwdO5sSCc7wrKQeV6c4Ok9muRfT4CqkqnPdZDyouuD37H1CVDboYT9SzvkohrHOv4dZfRVG2l7Nj5fkZKZx5UY5yctGn0ZBxIAIUr78ynuWfF2/cW2raTjk8XHB8tGTVpZ7jp2i2gBgjbdaVpDYUqp40vPq+V5hOa2JKSI96DWLSeLca5lTpM9NehEYufOY3YHMObt++TdPUkPPneV8yWI3Fj6wTasQ88dVwWLEt3WOGCa8JSR21d7z86stcu/0cSxyys4ubToiScF6tjgzFculMJne1FUvN3oWbXHtMtC6XJiyv4rOBE0vu7hzavz/7V7zLq9GRnIXdJSm/yy+BJOTrYKvY2zngUams75mwQfJ7S7cWVQgp10DylojeO48XKytSOY93U3Azou5w9/6cL33lESnW1K7BR2hwEK2rSmQVV0SXSFXETYTnX3qeD3zL+7NbhEe0QpOjRGOhNZrydwLOW/DFzu7k4jTyB0pxX+PmnJmA9/b2LOvriHuPd9giy7nyPnNGlYEzmKPPAEyHBKuoRBHUV1m2JnMvejdwzfn3+q19dD+791kOPObMawthJAsPcvHmd4PcLy4fKxx8zM1dPnf8Ny+cgSt6yw3jMrRpVJT7k+V1N8jz4vr9r1dUYxKSViAT2mDlRgRHlwvCakzZP8fYQSJaDhqv7OzN+OC3fguT2dRqkzqHyFBpbR2TzyKMh93d2cVp5MJnfgM2J0bg+/v7vaLSTxRj4skE5swbbdCzCkJhW6I50AlQ0a4iq2VExLjs8Fub/F5pY3R91u97UQtm+f68RfFO25MW2frnYfGef86wmJAiwpQoH3NJjillXcZ0FkuCqmt9SSFa3aMQqZuaV9/3Mi+8cAsRJdKBa8EtwC1B2hGxm+7gvWN3d+/CY3CplUxxjso5mqbZotCNlUlratbhXpvr4d+RMUTVIdKwWiZWyxzb6YoHW+Gug7zaNy3Wtu1EvakwPg3SXN+Nnl714bzrbDt/TUfJ751zJFUL89vQA9QlRD3miFBipWIvq7ehReMKcQ7nPUmhqhpibRKhedkDasWqVJXaRaSCZtLwoW/7Fu7cucvR4RG1eSmj2mUtoc599KBKUkHcxcn2khP4APUVuXcghILhljm0A0bP2meAHUzX5PrrFc5NWLXQrhSkwmC3DDOWVSEFdRiw6UGayDKtrnOv0grxbhpsNolxzVj1jER+HucXxpzZ5T1sQFecywq5G0QpJ44+BYwMinRvDU6RuhbqSUM9meL9BE0NzQRSUEJkhN9DihGcJ3QW7/rc7Rtcub7P8elRoWNEdKRw2uJKKkga2xOe3i41gXvvsy+GUDcN3cKcrgYRxc5bt9SVeEDXO1sZZyDHBXqcTIjBWbymG8fZjOC2/uI285u+Hdu49zaC3yToJzlcnXeNi7ZNaDEfBTRzcCuBjrg1RdlePp8tWfew0UoITVMjruXh4yOOT/a4eXOHFOc4dYTUIjGCpKxcZ+XfQQwdIQSO54/xk0Q1MY5vA+ARKlTrrP8kcAlfC9Pd6YWf+VLL4GWy67oafdYRgY8nMo2gLyjhT2BcKClossifqjYuFKMpYpKVsHXaLjI4I86e5fMt6Mn4/TuVq58F/92839NepfdFyT17jfxcUkLHSh70srQdd+894o23HhBihWqD4nvMXHD9daqqRkSIqWPVznl8dJ+gK6TKTEYdqjUpect+gMu7NTSTimvXLy6DX2oCD9nBqq6bXLA1nvE0s8nL1jgxMjcnK/oYwN4H33uquubqtRvsH1y3CRJP5eu+aljGUc70ZZyvY5MOz0NOtiIp57Qn+rFsaePrFh3CXmcXWy+2bPShfG9QZraQ9kqm/UOEEAHXsGoTb98/YrEEcTsUr8riZxKjxa+6DOW27YKT+RGRjnrq0Lwhi0wQmZCSy2qCkghEWlQiO3v1E5993C41gZP9T5qmpmmsfvlgyRyfWDBxWf88+oWvwDmlaRpu3nyO3Z3dfmKdK3Ubs2w9vrJkDiXZS7D35EtrxLgpWmwS4Lb3a0/wB7QLbO5sY8LedsXC0QsHLzqP4aqSq0y7bMl03H94ylt3DomxQdUCr4v8DZhYmBJtu2K+nHO6OCFpx42bB0x2Jiw7aGMkEsAnXB1Rv6LTU6IEpnsK9fLCT3upZXALsaq4cuUq129c5+TxYbZkDu6sgynaAXGYoOwnQS57ZwqjlSrZ3ZmyOrXt1PkchuVMHu/F+cyx15EUI26RdJaItrTNc8bBCZvHhltcTAY//56b340V13wOm+KNEXfqF9Zg8YxJqaRCU0XV7HF68pivfOkBN65O2Z3mqvIF1MqDl1JiuVzw+PARxyeP6dKKg2v7vP+D1wmLe5wetmjqqOsqp5AMTCbKbNfzLd92nVvPv0tgwhKedu3aNZ577jnufPkNutZqKI5hwxwlbJa9Pv+GgV3la7N0KnVTUTUVfuWYTGpWzmIzXXaPVcyQsgkJMuLSRuTrCMgY/mPzt7kVLH8I1ni60vmktvX7rUrmIKaYEjkQcc/BXQYIxbDwJGb9BZfD1iyv92olPHy8YrGAncZkZy0LRcudzOq8XM5ZrObMV8fUO8ILrzxH6CJfee0hx8cB9R3LDnwDN285vu07bvLBb7nNbOfiu9elJnBjxCaiTCaTXs4UBm5UThzgMV2DuUqWiRBNptzdm7GzO2MeK+rmhFU2XPTBDAhOvC2QvIiGLbggN0XuH4hzG4FvKqB9dzeOmex6lmDfkZiyoUAWU1d+04sShdOXgAQz2ox3rCK6GO4t6lktVzTOsZhHTk9brl+xC4kzBqGSkySp9ghW2y1ZLk95+0GLSseLL1/l6kHNcrFEga4LNBO4/fyED37LS0xnNaen75IE+CJiKQ9KijEwc3IavlfNQa2a8xVagl6s4q72BZGTAt5x7foVbty8SqorJtMTTuZitX76rf2sjFxCx4zx2TkpRQZCHxCelLS/lm39JlKNRYXx88EgspznXfik8TnTVOndFksuRc3QUHGqys/R/z6XZTQO7/oYJVvQSgqJpqqtpKObcLqYc+feIS88v09VedP0vKdUOS67RtNM8L6imTSsVkvu3rvD9YM9bl6/wgdvvELTVIgPON8hrqOaLqkaQRbvkvzgKoKvrJR3PW1I3pIzirgc3ACiDlFFo3EZrx2JlqgxJ5lxVDhWGjnY2+fbv+2D7B3UPDyBqrL0yrYjiCUWAozn5YrHqn1dyZTU7lUmsYcOdWTpNGK2HCs5VEutQrP3g1xfdIVhUdG/xmx4m/P/k8QawFI/Y2kihipmA6oU1PxHBGeVpPMiDClhrgs1srKchKVmUSTgalglQXXC3Uctj+eJV64esJyfmAEnJVNKk1D5Ha7s3uDk5IRVu6T2pni+/egxq3TK0fIh+wcTrl2bsds49vYqhDb7sFwcB7/UBB5iAKmp6hKx/Tx337pDt+ywtMlZu+kJPf/tjcxAMvjPi7Izbbhx8yrkHCEpW39iiBCV3lsr+46fhR3yztBX9i3Qgb0vvh59bhAMq7QdQEgyxvHfoQjC0/DyLDpJNFGh7BwjuDQfMFk8YaJZL2rYgkcSLusazufF54WknlWMPDxpOTxpeUEnJkSjqOtICl4cTTNjMt2jrnYQrRECznW0MXF42jFvOxbhlDZ5buiE2f4VGi+orNBnAP8uNYGXAOMQI1euXOG5557j7bv3bCvPZvTRhr8B8JWjxn29hytX9tjd3WUVA6cnc05P54TY0IVACJGmzgHH2zpTbqTnHTyLXIwXQdkBzmtPDcfbcnz7d9l62wvbhcDHfXd5p1DzmkxZySwIVNmOzvTN4V1F0ki7WvLwwTGrV/aoXUWiy8OQyzSKBTcgjraNrEJAGnMj1hQJHSxXieMjC6KAKqNhuWbpBdulJvCmmdA0DaHrmE6n7O/vD9DaSPZ+alMzPjx365a5mkY4PDpiPp8TZb8PjWuwSJVEQVRGMvHvt/BU8ZPZEC82zfzj72C7zA5PSq3Qe+Hk3xSxJ18Dc1ktRhpBsdjTjDQ5xfIvRnMvziJ8TGZHqKWi8opziUcPT1jMI9VOlQtMZVHfJUSTQbCuou2U49MVroad/drM+SQ0wnKZODntWMxbJgfTrM98lQIefuqnforv+77vY39/n1u3bvGX//Jf5rOf/ezaOcvlko997GPcuHGDvb09fuiHfoi7d++unfOlL32Jv/SX/hI7OzvcunWL/+6/++8I4eKKQ2lVDhgA80tpmsY4QDGu9NzxyU2Buq554fnncSJUVYWm1BNJ6Drats3VDoyQvHNbOeSmqftZ2jbiLn83DUZDIHM689223wyvTUvrOGJn/TnGxh3yQtAM8ZXdk4wqmcJfdiGrT7qYJ2LwqHpStN+K05w0KOEqh28auiAcHSXu30+cniZSrBCZgtaE4Dg9UR48PCJEKa5HF27PROD/6l/9Kz72sY/xa7/2a/zyL/8yXdfxF/7CX+D09LQ/57/9b/9b/s//8//kH//jf8y/+lf/ijfffJP/7D/7z/rvY4z8pb/0l2jblv/7//6/+T/+j/+DX/iFX+AnfuInnqUrgE1icZQvxOjGwamjiXySOOuc4+DgCrdu3WI6m5E00UwmWemDLnS07YoQOlI8J3r/jAHlnbcnmfC3m9/XX977M9c4e83BlwayXpApJ6Pi+X6ur2pR0hinZHlSYkoZ7hOcVGgSYlRShBQFR0Pld3DSjK5viYOiBpwXZrMps9mOiSodzOeJrnWkVBNjjSZH6ODwcEnoDJly/qskg3/yk59c+/wLv/AL3Lp1i09/+tP86T/9pzk8POTv/b2/xy/+4i/y5/7cnwPg7//9v893fMd38Gu/9mv8wA/8AP/8n/9zfuu3fot/8S/+Bbdv3+a7v/u7+R//x/+R//6//+/523/7b/cm94u0fkJzPOaa2VmGybKJGVvqijXTPnvnODg4YG9/n6ZpaB9bspoQLPsVMdG2LatVi6savLOEN5sGkyKyiA7S/lMRjfEVthBz4bznYebjc8siH4s0Z+9r4zG0dYNBsVQWjj2Ybkd6seYaouqIRJJK9i/JAjuAWpaCylU4VxTsQcEVLOvswcEVbt56jpNVy8npMUhguUjUtcn8vhJCFE5PlMUyMGmaJ3Orjfb78kU5PDwE4Pr16wB8+tOfpus6PvKRj/TnfPu3fzuvvvoqn/rUpwD41Kc+xR/9o3+U27dv9+d89KMf5ejoiM985jNb77NarTg6Olp7AXQhICJ96oimaajrnMK3qgaroI4ILRt6xsRQVTXXrl1j0jR9Hr7lYkEIXZZDoW07Tk9PaVsj/tRv0Zm4clrfMXctRDkWJ85rT+LYhStv49bj35b3wJmYz6E/mzuEH0QR7LNVRDMPQFTymIycsjKObWLgYLYXpA8eLpUwVqslRVl1XogpUFVm9IkEJjtTXnzpJf7wH/7DfMd3fievvO99dCESo+KkRrVCcCwWiUcPjwkRQvgaBB2nlPjRH/1R/uSf/JP8kT/yRwC4c+cOTdNw9erVtXNv377NnTt3+nPGxF2+L99taz/1Uz/FlStX+tcrr7wCQMyZrbquI6XE7u4uV69eo6qqIal7MuNCv22X7befYMdsNuP27VtUVWVEkaNbLAGnDVHbtsznc+aLec6mpTlJZ6k+YNv5JiFuMwqdH2EzfB6/tjljlev3fR4Rc3nW7dcfiyd5+pUNJXlTYS6/KZh8yb+SLbvlnkWxFQvlnM4aqtoBAZFE01SoKKfzOfP5CV3XcnxySNDArRdu8vL7XuLatauoCkfHc5arYImFWktD17ZWKwg96815XnvHKMrHPvYxfvM3f5N//a//9Tu9xIXbj/3Yj/GJT3yi/3x0dMQrr7xC5c1tshDM3t4et27d4v7dtzlt56aAagEIi6WRsgMDhoo0TcPu7h4xJTwGO8YYqeuK6BxR1fKuOEe7agkh4qt6A81gqzY7JsqxRbL8Ha5xPtE/TTzZPGfz+JP8X9YVzLPw5fCVQ3PiocLlizdnjAkvidoLlXMZFxe8V6pKqSpQdVTesYiR45Njjo9PaGa7zJcrljGgdQInHM+PWK2sWltdJfakRqYmrnSdEKNYVoELtndE4B//+Mf5pV/6JX71V3+Vl19+uT/+/PPP07Ytjx8/XuPid+/e5fnnn+/P+Y3f+I216xWUpZyz2SaTCZPJ2VQBdVPnmEHXiygHBwc9MXnv0WiTZTmw6cUVHTlDFQ6UYkRiYjFf0LYtVVXR5fzhiO9lz21mdU3ZQ1ottGoNgR9x3zGiMUZAzsN6NmXrJ7UnyfnbiXtUqk+TcfE+cBWMa+coH5XMOS2DlnMVqh2FVWiKUDl85XA+WR7xtKCLpyAN3ishtpyennJ0dMLde/eoJxOCJI5OT7jz4C2aac29uw+ROjGtK5argK/MpaKqoOsSbZtwzcUJ/JlEFFXl4x//OP/kn/wT/uW//Jd84AMfWPv+e77ne6jrml/5lV/pj332s5/lS1/6Eh/+8IcB+PCHP8x/+A//gXv37vXn/PIv/zIHBwd853d+57N0B7LrZUnYLmJa+Tit8iD3noXMClG5HLjsqwpx0kOCwjr3K9wwbiApBZJMBWHYzLvNWS58HhpyHrfe9tuLojbbURQG4t7+q433JaJJ+uoXRUwx8cgWQ0rmkjyd1tx+/hq7uzVVBeISR0eHvPHGG7z11ls8fPSIu/fv8ejxQx4+us+bb73Jm3e+xOPDE0Sgru1+XacsF7BcwnIZmC9aQvwqVXj42Mc+xi/+4i/yz/7ZP2N/f7+Xma9cucJsNuPKlSv8tb/21/jEJz7B9evXOTg44Ed+5Ef48Ic/zA/8wA8A8Bf+wl/gO7/zO/kv/ov/gp/+6Z/mzp07/PiP/zgf+9jHtnLpJ7UUE+o8TVUZ8UXY3d1jb2+XR/UjnLMEnWD+FGZIiRnL1T4nuAg0TU1V1aizYq+TeoJ3iotmWgbj0pb2OJvxMw0Y4ZdeuZHNdDheFpT2qISldy7vS/jc01CXTYerwdC0hnWcadLLUAWVKfcoxJL62kNr9yvXLzV6hDXrkJUTibiqAg3E2LFTN1y/vsPLLx2wt+vxrjO4L3QcnRxzOj8laaBrg5WClMRkCnWjXLtqlfJq73E+IURWK6WqYbGMzOctk+arROD/+//+vwPwZ/7Mn1k7/vf//t/nv/wv/0sA/pf/5X/BOccP/dAPsVqt+OhHP8r/9r/9b/253nt+6Zd+if/mv/lv+PCHP8zu7i4//MM/zE/+5E8+S1cAq0o8cVNCMk1fxLO3v8ft52/y5ltftBJ4dUcMxS/csFyvjhgiLkIILc2kMmxVakKomU4O2J20TKsFyzYgMRJEcNLgtYLk6bpofi15rh05+hxH6u3ekq1uQ+DF2HPQ5F/7XihWwu0Wy3M9CXvlsEBxxZXyzIn5bwLXkWW1nqBVDb8mMwJbMFnUciBky6U3M7u50Fr1YtEIsaWpFe8WNLJif7rDtFqxM9mh6yKV99y8eYuXXn6F48UxTlpqgSQdk9rcVSZTkJTQzqypk6mnC2bajwE0NWiaUfn9C9PIMxH4RbDc6XTKz/3cz/FzP/dz557zvve9j//r//q/nuXW5/QnZR8O+vlChNnujGZWszidk0Rz0kclSbKYeqnw4vG1QyrY3Z3iKiGKKTGVr2nqiolPiHaIRioqQwyo8K7GuZoSuFx8X1LK8j7kqPOR7wZjhW6MqqzL8WP5vhD0+eNe0I3xNbNbKps0PpjVZcNyWUSPsg3I2hUyfu06EKuGkZB8H7t7JRGfAl5WzOoVB7uO/R2YVBOmzR4OR4ge2dnlxs2bXHtwnQePWrrU4Ss42PFUk2yviEBj1tUUzSXUzYRpU3P71qtcvXKTaXNwznicbZfaF0XF5F3T6E3RSSj1bErT7DA/7RDxJBwhGmaOS6ToiAQjD1WbK6dEbUnOUU2VyU6imgSc90RJOdiWXMIjUTtPElNWVZWAbdWS696zJudyAWIdnKA25e0njEC+zSB+WCsY9aiJy8TrkFRD7/sy0idiqbgG0htssHNFSOKxPDE1whSnVqK7kpbKr6hZsTtbcuXAMZkEmnrPchnm5/DOce3gGq+8+ApI5N6Dt1gtAzuzir3pLlXlOTk5IaRA5R2+btib7jKd7HJl/yrvf+UD7O3s4eRdkvjHJEgTO0QgYE5AXYwsVh1tECo3oYvJymtorvzlxJiViyQXiNLRpgUhzVEvNJOK6SxSN60luFQr3a2SckXkmPMAFiw5WEJPFET6GqqDaHI2jfJZRTINUOYT2hj2O0vYY5Fmy2BBdhn2PeEOivTgq5KXYq8d2CcPUmMpNRs8LU4Sno5KEtOqYzZZsbMzZzaNeEk4rqLaWUnwaO65u7NdXnrhJfb3dzl4Y4e33n4TUoeGmmYy49p+TUotdT1lb2ef3dkVdneusrtzwP7OFZp6RuguSCBcdgIXyU76GV+WSJdautgRiXSxxfkpURP4mqTJys4TidJhBohIpwtW8YQu7eJrTzWZMN2JTGcB51eEdmHQWDUBb6hLVddWproPPsaIxokpTmk9rvJpXLlYGNeebwOF2TxmXPg8hWsLQpLXgvRQZwm3s/clvbSSUDGPP3NtFaDOJrIKh8c7wadIJStqv2DaLNjbXbG3M2dSz6kk4VlBDEhKljVdoa4qruxd5cr+ATeuXuXVo/dxdPyQEDu8V07nD+kS7NS73Lx6m5vXX2B/9xpNs0/shMo3rN4tdTItj2C2OmpAXEKqxNWbu7zwynVOFo8J6RipHVE7m8LOonmidLgaqkZw00DQBV1aIFrjHEwmgf0DmO4k5qkjscL7ROUl593O2bEQ1FWUAGYRobKEzBtc1Ljj2Jd5QFRAJNeo2UBRCp5/9tl1fJHcnsT+C1+2XQuyq4Fa/VBRYxS2C5m4pFJqaVagNaIWqualo5YFvjphp1myN1myM51zZX/BrDlB9BDvLAJHQwdZIdWU0JATlwpc3b/Jtas3CamlXS3owgqRFaqByk/ZmR3Q1Dt4aRCd0FQThIrAxVn4pSZw8CjeoD9VxEXqKbz48lW68DIPD7/M0WGLmyTCApatBfA4B5MaDq54rl3b44WXr6OuNXRBWwRomhV7e4mrB45VbFl1jsq1OAIaO1KImTR9BkIkW0hLmZK0wa1LnfXzU0GU4INNi+d57cz360I348j+vL2QXAJZoUTIBilNLhM6PdxoJcpdryy7JIgqnhVejlB/j1oOOdhP3LiiVHLI3s4c707Q7hRJO5SamhrtGilEEpb3sK5rUqc49ezU++zs75NSwDsLTK5cTV3PbOFT431Dt8pGtGeQUS41gVtcJKDFYKIkacGteP+33mCy90e5c+ctTk5O+PJXjnnzrcjBFcfubsV0p+K5Wze4eeM5kJrIyuRsOlKKeFmyO+u4dbNhFQKPD49RbQirhtDO8HIN5yqCxlyqMm/n0CMRm+LJeQTrnGOsEo6DFbZBhZvy/NbW7wT9YCEkcEqXf2/lEHPi+0zskrFwEcODnFqAmHZLKhaoHBLcPSbTu1zbX3LzGsyqUzQckcIpdRNsIUjNpKkRpxATXWuFB1JKVE1DimrehtQ5U39CtILoUXEk8XQhF911QiDbHtZ0jqe3S03gPnu9pSQkOmKKiAvAClcteOX9+7z8/gnL1QnPf+kr3Lm7ZDrbYTKdIL6irqak0HF60lI7IUXF1YqywskpE7/g6p5jfqUldon5EroO0mqH1F6jmuyDQHKCVYvISmCKZgCxaGTW8Qw5I0hs4B1nDDlP8kJcj9zZsK5qUVpH1xfIsJEpjpqhSpW+CIDLtesBSAmnAacnNO6E2ewhe/UJtZtzZe+E3emS1B4S04IUO9CcVk0rULG6mhpJGoilkFUPM5YqAt7uD4hWiFYk59BY8iECxJwj8l1E4M4lvLNEBiFZ2Q3nPFJhwalySuKE6W7kA996wM0XrjJfKqenSxbzU46O5xwfJhanjptXGzRaMpuYVoieUPtTdpoVBzuOds+DBk6XoGGXsLrGdNrgSu36npCzQcdnK2YxNI6cqvp3vRxtf85zqHrS5/XvhnuIqKE//X1y0SkRnNbWsWSE7RVQUzDFJVyynUy0A9fhWTKZPGLiH1P5+9T+kLo6Zjp5TCWnrOIRre8sakd3EBpMfJRcJj3DAAXSzJnHTCexBPolCX+KttBIueBAyXPjslJc9IQLtktN4KIdjmjc01U4naKpRYNSz2qaaUMbE+JX7DTCsoucPjzm3tuPmJ8mwqpicVoTuxntDHPM0oSkBaInePcYL5HdiRD39kADqNClGe18D92fgZvhnCVpN+u9mK9oqb2+IWL0ZbFHxzbfb4of53sSGtzJyHJqhy2sTLD4yd7MniP+PRWDudII27mI0xYnLeKWiKwQXSK0VJyy5x9T+4fU/jF19YDK3cfJIZKWROmImogIEC05vpq8rTlZZ3FNRksux3X/m5IUFJ8zZmV9xSqumPhU0jtvibA7t11uApcWIdexpLbIkSoQ3S6aFsSYqGuPqxynywXzecfx0QmnJ5F2Be0yMD8ViNCthNAmtIuQWhwLvDuhqU7ZmQgptCYK6YT56pSkj4jhEc4nnMywjLMZG1ex7Z/t0F85VnKZn6t09s95HoEzkkvJfyMlvAzJ7zUOuwvg6YCU4cJA5QJeOpzOEeY4ObUXCxwrvJwycQ+p5RDvTqjliEqOERZAwmP1rbwUnh2J2hFTMADAYa4QajYCyAHHshmEYQCAOTNYJlrN7g5qA5AH5GvgD/6N0FxRnDRlBalCqPE04GpSUJKL1JUR08npkpPTlrYziDFFTwwOSULIrpihCwgR7yN13RLTgsqb4aKuKvZmO1STBckvmdTHuKpCKiVEby650SFMgaZ4mGCIhv2t/ZDL3JS7rJr2f0cSZkE0xjK4sI6OJCMExMokghmlROy90mUHs5y6mEhNROgQCTgX8dJSuxbPKU5O8HKCd6d4t0BkSSULqnRIxQmwQHRuTCBj/znRbCbSBBpI2hFTl2FRy26lyVTxqBGNWEU650hJcpBGrsgmRVb3WEW47KZb5PFnYOGXmsDF7yDem4KpluzHZSOG94prhGQZInEyoYunrDqzaqbkSQj1ROgWC5AWNJGSVfDtfZ5laiZ5r+COqZuKSS24WpnsJnCHBHYIqSZIjdKQ2CXqDJIzC6pUCBWKFaDRwqOSornWjZNBsSthZObDbi5PKXUDEauhIZUkxLWgFjETw5yqCvgqUvuASEBYgXZIIXDpqFnhJeJcyLvVCu9WOJZ4OcWxBFniaHEu4MSUTLQlZaLVZL43mrLI4MDXtsScKjGsCGFJjCsrN5hMmfTkREpeUYnGaFRysQGX048XVIycQsJaStGYhr5bUrclC4FS3xnjEgtwTS6RtEVkxVCly2TjlOtjxuSMwCSiEs2IUzsqP4E4QfP3iTpHd61w7sT8LqolTTNnZzJHOSDqLkEnBJmgOiXoHiHNSOKJWqOpJmmNVT2obdvNQoxm84rDiFeT5hLZVe+I5RAiK1Q7RKI9W4pMqkBVneJoqSolxVOmk8h0otRVh3cmR6OG72sKCB2VtHgSqh0xLUBbKhdAV6CrjEUnRLMsnToSIS/GPJzqiElQ9ahT1KXc0yJiBFbLU9p2yXTSgFaW49F5UipzkkgastKblc4MVUoyvSCmTRcHRwzthWnkUhN4DNGqAKCWw1sEV2WcwgWUjmKxCyGQumhFchNIqsx/JEQqXzOZzJjUU+qqJqjVq4mxw7uWpgrUVUvwCUlLKtdRuY5GOly1i8qMznli9Kg2RHZI7OKkAW1QrYlqObQjPrsLJAu9ckoIEUkOj6fUsPeusRyAAjEmYmxRrKxe0hbnlFkzZzo5xLsVdZWAFTszoZlEhJW90oKYWmJYkWJANdF4y/uiKZA04CVaWFmKaOzMtO4tq2y7WhEWHV1LRopyuUU1ab4EcSNiiYEwn0vvhdPTY3b3Vkwn5tGpiSxn+14vEMlBK8XVIS8PEYt5HesfJdY0PkMOnUtN4JodhlTISS8jYFuvZgIXEiklVssVy8UiE7fHSwMxkIKyM9ljf+8qTT3FUYpTAZqoXEJ9ZOoTydv2K2mOi4kKpfEn+KomeKWLlkohyRRxuzTVDOcmqNaZc1f4akIXo3lBVjaZXdeRAnhtjItFoa5n1JWl0GjblhA7VAPiTJ72XplOFkyaxzhZIRLRtGS24/A+oLpEdEUMSyItqQomFgBWaKsQm+C9wztjECkkQhvNqSwklEBMhv+P1dlSKbPXByTH1Ysd8x5WqwUxdhkhcUTNSArKkJ1KRpMJa2gQg1JeEKin2QU226Um8N6XTk3rlpQQbU0ulS6/bKLm81Pm84AmsUCFVBE7hejY373Glb3rVL4x07KmXJbbWiXCpHLEKiHJOBhhiYTHNNMVTe3RqiPEFhG1wAg/o6l2EJeLKWVZfDKZEVJxLTBQretaNCRbdOoIQan8hLqeEGOilZYuFAI3hbKqhEkTqN0pQmdKpG/ZqRqcdCQ1kSZIMD3EClQgDpJ29IEaOZ+JJkveE7Gc3F0XaVtYtUpbGGamPelHvxwsVtLCzCVDlQGyIinOM9SeT4Cn307Pm185G4960TC90i41gZO17cFaaKgB0iLSoliKsBADp6ct7RJIBjyEFsIKaj/h6sENdndyteRQUhkb7Bc7QbXGiafxEfWBoEbo2gZcCkxEwXckv8K5ROUCjU/UdTSCzQqWOG8U1lcGV4JGogTcRJnURuBdG3Cuxvuarg0s0pIOQyUk49kVjol6qt5QknBe2Z82OPGsWlD14KXniaWuaBJGKS8gJUcM0IVIF6BbQbeUjCrZUPtcv1Ilp3oz3C5Pgy267ByQ0TwLDUw5RNAJOO/RNCq5PircdZ7tps9tw2AfeBYiv9QEbuboUW49sS1VMM5t27mSgrJaZZfkBClA10K7gunuhN3dfaqqAjQrnJbjIybHKgAUBUlxLuDF8N0QBKLgc6lBS42gOAKVrqgVEId3llCnqmoS5h0o3mV51q7lXKKpTeZcLQOWjKdipS1OO1rXEULX+2x7D5V4vDqcOjO8i6NxJiKoN5jNV02urmAJMjUJbRtsgXdWHzSq7UrtyghcUwXRmaIH1F4zzCg5mseuY30ZovAzhpJhyZCdrToTU3whanPiMo/MUZbYzKzWIpx0PediVT07uV5yAh8GoWROct4QlMoFfOWIyfDprjUL2WouCA0xwPHRnJ3ZPnVd4ytItNS1o2sjXRfB15ACIVnEvIogVYVDSFGIJELCZGtJhNQSVQ0fRokp4h1Uzur+1E1tXnSaZdwYiAQLzUqREDQn/3SgSowtlVf81OMkskgQomHFtXdUHrxEVDt87agaz3L1mKr2RA2IE7ybkiQRYjTIPFW0SwhtRQySa4RaiWySucOqVFR1AbmjKbkp9hkMLGuYEENJ+m/MuDBWyzwQ8D5yenpM266opgmNESuNLlk8WZfqwdK9raXjGBF5kb3TM2SXvdQELi7n6xaPOMV7y17qa8Alk1V9Q+gisVNzlFJoF4HDw5ZV2xla4CJBl1jeDyWSzNmHCvWCEkh+bFJPJgo5iNrRRQ8uZrhPUAdBDbuORByR2AXatKJJ1ZBaIudcGZy0HDGZf7amaDh4nssukNOWQVUJzjX4SoCut310oUMF6lxVGHGkBEmUkMiGqEQMOlR5Bqub48waKUmJGtCA+deL4efilMp7xJuvuyl85lBW/MqVgcgBVqslXdf2PvBJrQRYL+Jk6KQw9qJVqa7L3GMPymdtl5vAyX4OlHrq0suiUY1AvPPMTyOrpRIjdCFxdLzg8aEZWOrGEXTJyfIRlauY1pXBZzhULE+KbcyxQOmIj5YkSCHKii4nohTRrEdJ5tKWo9xpRIKQusTj42FuvQNfqeVSdFOcq4khEUI0WDMpJWq+C0qIYnm4tUZlgngP4nFSYLWQt/Mmh9MJUW0HC1EMFYlqpnQi6uJoJE2O7nVABzjNxhZAoWk84itSUmIwNCR12c8lWzO19zATS60XVtnpSw2aFFMwUzZgSa4TNP79U6Ofzvhjnt8uNYFbbhPLPZg0ISmYwSQrPYaZwnIRCK1DSXSdcnwSWKxgb3dKPatYhRMeHD6mdhU70xmVg7aNdJ2Q1DihxxK8O8suASp0XcBl07RIZXIz5PheyXg8qKg5IyWli/a9F8A7nK9wVYNIjWbratLU70plAdf5XMOGLZKoi5Zm2DlwosTocU5RnVo6Y5SUxBIVBVuUKQUs2UswhUR7d+wRLJXFvyJFJCPyujHdwXy5hdA5YuyySyw4HSEs2bckaSDFYtjJCFRWe7V3ZRjnaSF/3o6aPCsnv+QEbj4omgLm3BARTUYE3gwDJyeBdqWgNZqUZRtYdTmqZ9bgG2UV56xOD9GYqN2E2lVoXKHpFCctTUUuSqpIlZhMzFx/cnpM5czVqxJz9kKtfqc4kKpwJQDFO6XZMWHVvOjMv0KjJ6K2c+TfNlXxuMsEqongQNtIF1rSKuBDhYgZW7wXfEYmSpZYTYkYOvt9TBAjGi142upp5VSkSYdalllU0JS5fVbMm6mjqoRSpd45bwWqVLPhpyySTJhqvuohBNqcrLQkSOr91LXg8iUhkhW5ss/rwR2lvatQlHXnd81m5Ui7WlG5hKs8xydHLFctISldl2EvgXricFVCaVFX0cZTTo/mdCvFJ/ODqFxkIpHdSc3OrsdVCSLMmoamqmn8Ci9K7RoqN8kcK6LRsml5X5kfSY7XdFX2dc6ORJrl7RgjQk5rkcPaNdki1GQLRlWJKdGFLuPkgssW2pgilReaxuPU5/xGisZgXpDRxLUULOUFlctikiXS9M4hUeiimuIYzVbgneX9Vpeo64TzZj2OyewEMZjymoffDG7ZWK+ZSLu2o10uiTHiZFuVpPVkR2U+x+jJhSKYzmmXm8CxSU4SwLWoLAlpxWm7YuJqfF1xMn/EolsSHayCEtXh64SrEq5ZEN2pTSwdVJH56YrYwrTxeLFUFCKJeiZMnSdpoussra93ntDlFSOKVB6flJjIsjd9heAitCTWOZKmIjoYAdR1hWqi6wy9MEy+6sUS5xx1LVTeuPeyDSzmiapS+upjah585mpasm9lq2Q0HL2UKc+AD2AyfNsmUrTFOWkmCOY74prsj50Ul91eQ6fEzmBXyZ66VnIwyztZqQxtR+yszGBhSSKjBKVqu4KoYfQiBXTXHPSQ53uklF60XW4Cz2FOziXUW9BwING2DnUT6mbCqnOsUmKlgK9opp4dWaFAMwskOWEVIlUjXJkd0KXHHB91RA9dNJk7SoQK6mmNxkDbLlgsA7WDZUy0ocPFxKyZIF4gOJxk4bUUfnVF4kx9/KiqEPPkxWBoRp1zm1u6OZvUFIWqsooIlXd4b+FgizawWHaczpWmgabOWbfEsVwZMVhKOd8rwd4HkkpffRhyxlxVRGI2tdvu6CtvymfmvjEqmqOAelQqGiH3+VX65xZEE5W3OqWSDTaanLkJr1kwRztxgQRLZL9iv+/95m0hXrRdbgIHrFBrhdKYkUdniO4QuxXtylNVe+zMTujaJfFKxWynxrIzGdRXN4m6iuzu7tNUM06P5xw/7nBSMZnUNCzxVcpKpDePxG7FarViujfDe2G1WiHeZ5y7oqorHEpM3eACq1iyIEq6Zqtc4J2n8lbzxlx0PeYaWTJLZZdbGirXWF14tYoT89PA/DTQdSb6LpeGdeu0svhSp3gx2NPkW6GqGiMnGXNE47pNU1N5JQRyX8y07pwz94IEMSqhU7rWAolT7+1XNoIiVkTQgHOWKbauPXVV4aSyyHgt2OD/v723jbUsO8qDn6q19j7n9u0vjz9m4mATXoFCJsEkMcLuv2HCBDkREkaKkIWtyBJ60YASLKHIr0gQRMKWkeDNxxCiCCWRIuKISCSSwXIsJ8QKHmzL2IplC7/5gWIn8cyAzUxPd99z9l5r1fujqtZae99ze26PCfad7jW6c/ues88+e69dq1bVU1VPEVCzJoFiPORutRRjUWpmisKh5x0XWsDdG9dI4xaEgIFHHG8FU76JOy/cwsktwbwLIAy4fCVASLuogQTzrFTIQyyKqMRL2I5HILqDQCOONpcQMoNpBiRoYyUy1IMtM29k7PYZ+33CMOy129swmJlgGXgGWRKkcoTnXCzhiRFjgLDmV5PlawSmmnet+eFbpES4fXuP23dOcHKyx26XsdtVmcIdzJijarcyMoboZPHq/BIBFIAQuepPh+fcoSVLV3X6FkWFGGlKSEmQZnXap6lgTo6K2LEuq5Y6ESNpMCoShiEgDsGcYqvIoQIgAqLt1UlIKeJKS65yCrrT1NfnGxdawCvrkgygwhAatGBBCiICUiZs46vwymtbUCi4Nb+A/ay9d1LSRP44BGy3G2zGAdNuxu5kwsktwXTnBHknuHYcEcdLGIdjxKjbsaS9VgDFhKOjEdOsWmaaEpgnDBwQWDUkm8Z1Wgn2gtuihbghcA3KiGggZ54E+0mw32fMcwFhQBgm7PcJzz13B3fuzBoQsiw/zwwsuUAbL0zYbAjDAGw3UQNDaHYuBa4pII5suIMrFoghyznxwuB50gSseVaoNae2sPREeg1cNTmMtVdJmUSSmmWhT62wHJOaR05WvdMEWls35i6SKZjvl3RZ+MMQpUDQlc2IYQCFDfaTIMged3YzpnwL26tHiCNpNK+oQJIwYjzC7vYezz79PL7yBy8gTcB4FHF8dAUPXbuKV1zZ4vLxANAJpn1CEjaEIOPy5SMEDhg2mrR/69YJCIIY9Pq81XWw1h5KmOo7j3XtJYEmWQnu3Jlw+9YeJycZ+13BNANs7atPdgV37qhGGyIQIjAEzcojMNJckLMgzwnHx8A4arOszYYxBAIzdGdJbCREjf5ZpFFQqKmr5WJpVqd6v1cNPs9qwhRHecz2JiaEQOBQ3UjEAKS8x8nJbeynE2yOSgebAm5kttCN/e4QkxBc47v2Lsj/pwjwv+EGKTal/B6qAYsVCwxhg0sDQJcCdicFt26d4PbJ89hcAq5eu4bNOOLkZI9bt+7ghT/a4St/+AJO7mS84so1fNPDr8Dx8TVcu/IKPHTlKi5tIqSc4NatZyHlBcSwQYhAnu4A1k5wu9kipYIXbu4g+Y71pVEndRgZ2+2IAREpTbWqHNBGWjmpTXv79oxbtwpO7kjtKAIQpkmw22fcvq0JY5stNLhV1Bkku+cYVHsPERhiAEFThXMQBPJaUEAoqQNJ3rJbRykwM8TqPFGw3yWcnExISRtAKTWEfn/goElcWek74hAsqcpCoSVjTjuc7G5hP+1QSjJbXczXUDSHRFMuSEjrNVesYLrwfFUwQrxPio6dLgISocnIjIioUlCAIVwBbxjx1Rs8dP3V+N9/8Pv4o5t/iOf+4HmEGC0QUZATYxOuY7hE2G6v4DWvfi0eesWrcbQ5xkAbDEyA3AEhY9rdRE4nGIYNynwHL7xwCyEQ7tzZY7PZohTCfq9CR6x9ZbRx6gTiPcZx1Op/aKu8aZoxTQn7Sdt0zAngqLosF8Y8C+6cCHYzkIqmCoAA5gFxiDXcmARAFm0nMmhpOsdo7UMUs+AQNJ/EhFpTZl13tgp3dWL3pr3VHFGuxWKLSjP7hvEI85yR0gmGccD2aNDWI9C+otMuQYRQSkJKEwTZak9RzwNAo6lSrL+o1BYwgGHgrA6m8jTy/WODE7kpaVU9UGfJZy5YlhsCgzHgTz98hCuXn8etm8/jZHcHU9pjMxCG4w3GcYsYIjbbY1w+uoo4jEBhDZ+XAKINYjjCdnMZe9xBySeQQphnFZJAoUJo86SUDCFSjVoCliUnsTpRORXMMzBNmkhVn7cowJez1T2SdmQgD6XbYgbIcmW8MscRmtDSCsjj5352JUdiTwOoX0q1yDmlZLngZo5kXVjatlCb6raO0oIQNCorHuK3Kip3QInI4gczJCSUEipHI1cfmKqA1894gCs1ra6BvPukJtPizRpksYQed+O9dQhxRMARwAM4XMEYXoHrxzOmaYdp2iEEwjCOFb5jDpbHARWiPGhXY06IvMXR0WXk9Dym6ZblgCtCMpAiBCEMmOc95gwIKx5exCp6CiEXY5EtotmBhVSIM6w7mzlXovnoUghKc5Z6k9XQNTUHtDJHy8Q0ZdgpNfoOE5qXwtzSU1vSkiMWKuQ5F6QkTuldcXwGI1KwBQptbW71lDlnDRIVzb6c9gkp6a4QQtCywf0eOewA2ugu1gK3mtFoPIk+HPuWoum6boOf7E7OLSIXW8DRtIgHGBrRpW6FXAJYABHNzRhog+2WgW3GNO81gsj+GeuSllQImEcQRt2acwDxRul8w4CUMo62I7SVHjDEAcwR47DBtJ9BCEBhZBTIJFZJDjBbSB6aY6JmgG7ZWVTIi5jQG/ahnC9kAm1BIwaIldSnKvTAmqDFhGL51lxQF00QdwBbEMmx8GI9jmxlIwSPM6p2TlnD897RIqeEKQsIwQJP7vwZzGjOdOgCU2nOkDJbsYM5ugGIHGwn4prPsug4R0W5a1Iy8+Y+cTJ1AvyhWUCFDc/NgBQPkivCwpGwTxPSLGrKyKC4tsNVrBx4GZofkhMQMKidKxGggBg3GIcNQogYImpa6jBsoA8tQoTr9pxLgUzZ4DtgGDoaMwulA9RhvWT54N6usCUo6UUCFAyZCQCkVK1NbOmu1ksH1mKlRisLgOyNsdRTZG6kRMpyC8ToxJiNIDPvdppmW1SzNyRF5zKVjJISMKr5UQqgqbzRaDCCPiWNFilVcgACgja3kgDt/1NsTlCFPMYBIgXDMFgK7n0DEwL6xI2izBIiJJOGiq3ltEaii/FbO5kOAaL2aowRKRlftlhutCRIFksAV049QkSMW2w2x9hstiCaNCLJujjmORnGrchOq18MZpOaw8aoGhTSKMsUXSAABakonYQUsoobu10GQAwKjGBFGBwEIQoCs2o70uthy493BEIFTP/nODNz62vvBRaa78J23TDNLJYYpj48yMwhYoPusuaq59IWjC1k5oBgP4AtYLPXS0nagUOy7lis+TFZHIXSxDf1G/R5bcb7RMC93AowBFWMzTRrE1eQVsYLMUCCXNQ88Gii23je2NWFUCxnmYOAMOmWCwJoROArGDevwDB+FSn/Ach6Oc5JMCfCnIytCZr/odKmRJgUimofAog0kgnSnBAVIbc51SaXbB3ksi4wloIgBJaAIBHBGmOFoFzbTM38YKca9hx1+P8aY5YqhKDmmxVGlKLla2TRxlwSpjlbpZH5CHYupa9uEB4TEIMmjDEXlBwRQ0QIESFGrUktA6To4iTySKWW94n5UM1ssm7VaAuJQPcPTJiLppCSPTj/Lf4YBJaqKq1SBW2798BGMQfGAzO+rRMKhLJqESJARggYHK4ijlcxT88hyx4iO9W0eUBK6lwW0d6delEmBMRKqwzVyA2iM86+lDVDL6tZQGC9ZmFN2hJoxDYxUIK2CQmabKZElqXmZvsojjEb5q35814krGkOIrA+8KVqa7ZIbMoJ05wwZzOnqKgdXqA84lCEI1i1wzAwNhvlfExpwBg32G632G4uYbM5Qs4jcmGb81S7Q3vZnPsD+izIfAftaOfKqeQOvH+RcaEFHEB1Ku0vAKgQ1Dp3YRlFa4K+zm+opzS0g0zTFhHLRxmx3R6j4BJ20wsoUhAQdCeApndq73q0LzQYMw4bw8ULUilaRmbBjZwFJbOZVA672T241kUBZ83LlsKIg+NsRtFg23/O1i6ENL8DHtQhZ3h1B860ZdZSuazdYBGDvpeLL0YVxJybeaG7XwYRsNlorsk4DghRd49SGMMwYrPZYBgGcIggimAJSElNHytzXk46teemi9wDP85jeJ8kW8UYqrnRMx+d3TKk4b5nCffiaGoOGJkmLkIIPGC7uYKCKzjZfRUl7ywVVD/HZKaSXY96uq0AwO3anN0k0nNr8a7nqghy1iINt1XFkjwUxps178aoRTQIo7nrWvrmi1osl7BUYZZOQ+aUjKYuGzpBliJcDAosKFmxcNW2qEFFF3KFWgccHW0QgmrnYnk3ZFzpOWfIPKnpYzuKJr0RUNhPhizJTCi9VlVWodrhAKFv5PWiMnLuI78BBxmBes6tk0FvWy+ObVGSM8da2KV7kLVltjmNIW4wxsuI4RJynkDgZXClCriZQsbB51QLJavD5nBa1VDFQBvx7cZRD78R/aXaNIEQFYcuAjIbtdQ4v5WjuVMJMkTVI4W9HyIWyHGnWBdZH5p3bkFQU7h9MIe90NkYAZijRWS1gCOIMt6yVTGHwODAIHfCU7JnWXMdq6A7mqRO630SyUQn0ECfLCSL3/5v5tNavSej9+P6H9fMfbW4CINEu/1uhisoeQIjg6Ju2SkntVVhPd1rLxx3ZGE/ZOdW21jtTxfwrIjOwnE0UIfsXDkZ5Rrg1ZJKw5aRRTFq3w38e9wayLlYR4oWcGFbBDECDDYnXlEP6oRaOx5ShQk1+pmRc0YIbN+hNNHawY0qAqK7l8OmTthpDmscALYdoPQAgv4ukpWD8n7hRXGh7Cm9mhCVhUZ2Ae1N9kMV2/7bP89BBbyUjMABBBPKxICMGIcrmOcTlHKi2XNJDQJAbWs9n0Nnfk1Q9MSk1XFfdbya6aKQnFUCEQz79nuwUHhRllomQrEi5lJYyYRME4qV0Pn3qI2uVf7mXqilYOVsziIgFnjyQmZmvS7uKNc8hTWlpCnIPBqCEzDtC1g0uhl4QIgRMkPZdEk1e5mByFqCF2MEI5qZ0symaoJmRahSuV9gwtLs3F6Lu11eSjF+kbI4VnM1eHGuEILaiatdIWff7lWzkDluJBFDuITElwBsME+3kUib0caBYb19NYnII4cWudOuBows+rBdI+mOQaAY4MQ6RLogYmSEwEgpY5oExFlTCkwray61Nb6C53GrQGiOjC40iJiGbNXw0I/ATeLqF5PZ+FATQ18zu7ygBol8rvf7ycwcVtLQ/YywATbjUS0EKQXYRqW/8LhFKYQkSYM8JMbHwrUBriuy/X6/+Ps840ILeLSMQKBFvYDepm2c0ir0xZyxJuw9sWMv9G0SLSJYtW8BC1mUbovAR2CMin4gIcQCeDeFYAFFq31E1ujjPGdLIAoIUSnQXGv3QheCOWKuLS39QKOeeo2Sg3bhgwWpTEDF2omrtjbSHTM3UBqhj98mMxBDsAIMr7wpPgOLue2NPKeA4OrjiCFGWrg8DAOGYYMQhi76azyQaHWXzpdSkA25ymBSGz2wPkMZVflM833iZA7jiHEcF6ZIL6hrezqlSSNu9uOjd0r7HIhSMrwJknYsA2CRUGStPmHagnmj9YqSQUHtyxgJOTsGDrh5RATkJFAqnAyCwo9i2LNet5oi4zggxsG09owya4cFRRTUHyiGtujnCBSak6qaVSxegOoHeHZDYIUZfXfxXYIDV+heWdaaM+o7BgDLX7E5D2zKRG1wRVw8YKR5JDzNmGelomDvnGYZmP68NPWh6HzCFr2ZUKx5xBjjfaLBAVQN3Uqa2ljb2H5sb6/39na/OBz5cA2jkT/XYPpQNOweEHgD5mDtNgriEO1BpZpkBYIS84AwjBrsmSfb7s3xI1Y6N71WpXXjUCBJz+M51MMADHFEoKDwHcwBDI7ylOpU5oUZouFzlNydS1MVimS7f4M10SpofFQBr3+bc8pADFEx8KCt1VNSn2UYt4hBTROlpAMCVMh7VEvL+7gWQ/sOpZCo8oyHMLQ8l3OOCy3g+90Om3GopopO7lLQeyF3+zw6NUNWDkC3vYElyuIYuIUA4SpNKRI0bZQ5IIaIYRhREkGQwazBDA4ZlftDz27ZdQNiFEyxYJ5K1YTojnWnVJs+aXhf873tO6MJU0k1FUGdRcOUyWoqLbRONdijuTYVg68q2QWadYGYzS6dyl4LuL6m1x2M1sLZrBRRidiMRxiG0Rx1T8m183rGo7dgpKCtB7tnRVRq0tk8a6rFfrpPAj37acLJyUlNFnLnUZ2fZlv7KKU5o6WUOonurfce+yJ7z4MmVoOI4tht0MqaOGIYIpKwsrjOGYD1DBoGW3Tq2MWoIfhxjDg+DtDMQ7HKIg3WKORmvoJoMtVIDKYBQLBr923dHEvykHzbodwuFhFjvtUbIqh9Dyj9RC4Zw6DYdEqlVtBUm9rP0e0G/ebohdOu8UUUaSk16qmkoSjo5lZjBYAGoTSeKc1csWdFUHYAddjVAZnm+8REIRLj3purjeaOmSMATAEekm5RSY+Kwf7mKuDZWKaqprICBXhskARi0TXCaMxTl0DhGCIDtFmstrvjwMZABaSkpVuB1WkMIWAcN9o2pAj2ux3u5AkpZ03YKk04xmEDb//h0GEumgAFEiQR6/zu9rzeV71nEqDAKNcAkBIMAYJ5TshzrhCk01vYGbBwKan/rTsBB238VaTUhCxtj6hFHhw3INJU46KrULtOeEhUALLubUX0uUg1BT1pTv2ETVR/K90vxD+B9KHAEnRymlAyoeS5abHqNDKIjQG2QwSKCZKHgV3gvTsbihHR0ATNVi7maGlOCnEEx8sg2iKXQaMg0sLeSk6rvTdjaBQNpRScnNypZsI8z9jtZ+x3mo4ao9q1GqmMWpg8m7NZBDEKZioobFQNzEY8qhHOUleomlQMqs6sgkC6yMS6maWOxsLnxS20nIGhBpkUnfHkNg5qGqU8A6SpyfOckeYRRBHD5hjCA4gGLehAE16IthGnmgnXUmnrzkttNy3Wv57Pn0x4sQWcTChz8SCOaq3iOBoA8uah1ELA/TZez7UK7/c5Lh6Y8eSlijNnS0SCLyCyPHQtHGi2qFa9MIfOFMpmmrQdg1mpIBx2kyK1s0LJgpSkLhwfdbMXQcragS3nBO+/0+xms2MMNpznGUCsJp2nErjp5nnkYlFXJ/QBqMKImo6bISWDLI6Q5mzUEoyjjed/d3NaPHErq+Zmsap6tcazrJ+RU1uQmT/c+6YvOi60gMeoecbkTstq+MOVmmCEU0K8FvS1k0msWkWjd4qdOeaskuO2stqtgYMKfXa7W4NFMWrOdo/Re2FBKcGCUhnDIChMkELIiWqyk+atNM3qznTD7o1XXLwv6GmHEGa+iADzLBCZjfPQAHs0YktxZMdAFQOR4P/X+/CgWK8QUAUzRC20VidXq51UQ6f2fIpV0QMAMsBLBto+Wt0rnfOOCy3gxIyhOnGnQ/NrpzEEZ2tq8KCPPnoJtC1SAzUa7CGyFiXwinYASNZU1TLfEDSQEjSPGUYPUYp2KVYN6GiGh+gtdJ5KfV/AKKznLAZi91h/vVfi7ny6+DTAZddv9rLCbu4wOgcKQJTNSdTSMJ0LR5XUjBkG5RevbonNm0YjC4bR4wbFnF3Fw2PU8Huo5p9ei1f5wJ1Sq7iCwa/EjRd8Den2yXXnGRdawEXMniStLOnzUABdAFJKdZR6ohsX/rWQr/9t4RQrgjDtFAhaYaPbKrEHOUJFAZgICBpKV8cVgBHHaz5Hq6AXoyN22JHMMvVzeaWROoBuIrXErFYF4wIR4KxVnuHnAl6MZF/vURdAtbetzE08c9LNPku8ck2uP2paaZCWqoOuqb9kZEBahK21lGx4v15fxdh7iNTOA2ka2+fc5wGA5ayfb1xoAc+iBOw+GRpN42qylKK9c9i1edf33KkM1rknp/FwDe+jdvSFal7yrLmAIY4aeOFB2/CJAOicWyvNYm6ZdkSN3UrsNbZ+NTlDq9anbGF8ZZwq2QuN1W4QkZrBx9J2BWKBWOBmmdMOy+LLVev7/ecs4NrHpMGsxfFrjyZV4bfpYFiBQ3OgBaxcKmyUz1HRJSm++INGfSvSo/PINeqL+gzWmZ0VQz/nuNAC7hRovuW2bU0ru0MwdMVyjNdplkRkLfGaJq+miQu8aQshC55UCM2z+hghjLhy9Trm8gfYv/CVhuFW80FRgpIFwzBAbflQiTkVVgwIwcrGkjlqc6nV656LXQVWnAGqCbGmwCYMA8PZYvu0BbLdzrMbPW5QijJR6TxZfo8rDwiisVV52rAIFnPpu6J2NB6w3xk/igllHBS/58zYTbqDaFqtgpvB0g6032frDrE2O/0+7ptkK+Ko+QlYTkDTyKohavagcW4fsr09c209xGOBlM2+NYgMQZU6ZTAiOGwQw6j81+jzXJawpBNHkkGIim17SFoXwTxnTPuCaVLnMvCpyzIHUq9FTRhd2IFKFWbbbgDT9G6Dl1IwzTOY2AqE207Smy/ePiXnolkAItaNwm9O4UMfMUagRBAyjo62GOIIgOwzen3DMOhiMUeTLMgDY8tSI6yg31V1Hg//+8XGhRZwDlGT5G30NnjFUn37ZwJZlt+h3JW1idJ9CyxoXs0UxaadrEYAimAewDwg8IBMybRksyUJGpWcplRrLn0RlixIWes01WZXKjd1PmFUzPrNvRASO7KgAZoQvG4xoXUMbuaatl7Rc6UMSClISZvf6nk0X6Rnv9LopnJ8i2U7lrqb+KLQCG0IA9KsbF/b7TGOjy+beSLVAVV/KWibF59hMedSvELzNITbP+N1qvPdxoUW8HWClL92KOwuIjB674Pe+Rqh8OG9cbTpqT8V5UjRoKCAMYBpqKH0BqUBPWqgeHY2mzpX08p9pnYbBCap/Sn9tXZ/losNAnPEOEYAxYpxtTe8ojGNNKhGGrNi7dF4O5WerWAY0C38DmIUD6T15Wlme4d2zcMwYBw3OCmCEARH2yMcHV2qnSyYvGdQE1JHkVzAGawd87B8Ju1ZeArC/SLgB/K6+4IHT4utLaDh1THNzvaHmlLDZpfDgWFFE1zA3etXZ9Lpmy3TrUKRfgZFR0JgSFSewZxbMa8jE3r9LriGAK3qD5sT7MczhmGDlPaWlJRA5GysBrkZvu0CGaM3uwL2u7lWuA9DNMTD586jturk6pw1bBxw3wf2fRp6j3HAZrPVCh4D3skEmkpvephT7ArHiJicSmIN51ZT6h4iPRdawPuyJreze+H116qQl942Xm6BvkV78MLhOzHcWEg1mdRsQkC5wQ3SK5o+m1OLfjbH1WFENWy1IFc64aWmNTuITNjP4chF6TRg02YOubkTmUsGsjNcabmZY91EhGEY2k4lAJGT2xctOob5CMXxaF0YitJ4bo7352nPYp53yClisznGpaPjZoMXM+8601nE8izdcUZrigUJOGuH9ajteceFFnAVGIO5RCOA7tS1dMuGOqSZAMnVgdKn20h5FJsuFtFXc6SIMS5Bu0g0nmYBkGsFe0FEkYAs7MmlTfPY4nAoTcOJDbaD59IJ1SSwkntY7/ADJbvehm2T5aW36iA9D1masC74YQxaypfFoDzFx+e5mCZnW5R6vcyEaGiQFlDrfFPJ4AG4dGmDcRxx+/YEjke4fPVhXLn+CIbhGkAblMImlNl2XG/rYiagae/isKqQVv6jJX75jqzP+z4xUbQtXmebZo8UBtveuWYT6gMzBy4lOLdG5RXpqlNApElBJUPYqNZwBBKbLpoAJKRcDJhhEI8Q3oDDYKH3uW6v2QpvlQOFO63IqEEV0nyVnAUpzeYQer0p4BHI5rgGheJlVoJPZGihgeEQBRbu1yjsOCr7LRGsRpPhBQXqoHK3e5lwWcMdhyMZljNSRHkeWQl/Ll/eIoQN7pwQjo5eiSvXXoc4vBpJLqFMAWwJNr7LSL0v9VdU9KUybrkZKHbfgMG01jaS+D4J9EBU8zhTa4UGbRR399FMErWFpb5/GknxYAQr4anVJhYtKkEtLSOtvfT2ghxHxLgBh1hRBjbzoNfAmoDl5PBLk0p/A7qjeFhdK/tdINuW3WoZ51kFJ1ruxzxPdbfIOSszQIUKcz2vR0j9+8mDWehSAWxM+4zB+ARzUnx8OCJsxhEijP0+Y7O9jOvXXoPNeBVSBuVEt+AWpJkaXpxSA11wONa/3eaiMt/6MKV0BqR7aFxsAUePe6Pa0f46wUhwbLiT4pi3BkdaNU/LpOuc0GBalpXVSplZ3ekJCPBzGWVD1gzBmlNNPZrRaCM0ZtnweuUg98p1RVBcW+vxhuLA5cWFvIdCWxsSN19ExIh+ii0G7bfTm7Fa49nXogq6dV9RE1AxB1DtZ29KdXInYU6Mq9eu4PLlh0C8Qcmh+gv98Lntfac1qrV+vv4Zf25nxSwOjQsv4C4gy7yFDjfttOc6M6090FIFfUlDISrQUA7swAGFUIXVQ81iBDZMA4icFcrKsbhFFQEyaoZshcKsBQjuZDrBJByZ0Ot2+jZfGHoTRT/PSpvmSJB/Zo2kkdWXar97VF+Aud1PzxXetLnOVxzMNIFxnANIIrh1e8J+EnC4hOvXj8B0hJyV/F+6naAXYlcsLtBrh79XOEATcmUYaIrqPONCCzhxHwrvM9BaoyLPTDv12U4rrPMyAJ9UL5MiC82TbZ+q1XNRrSq5gCNhHLcYhy32u4hkEpnFmFPh3+cPx87bvVchOGp4t4hUPxjN4rLjBFy5vZ27xOgqPPWVoDku1j8+GHF+c7QbTOkoks9pP221Y7M5nID6PGnWANZ2swXkEqSMkDICGNArmvXoNfc63+SQJn+p40ILeG/LtQLahm8DsByOZSTMR2+KeE7GKbvco4dm8GqAgxEoIs1aMFsM2mKOUGanCKaAIlnrEr14oApSM6tA7jgVLRywUrsQ+utuKa7oGrASkaWituzIhoFrOZlu55rWykQIERjhSVRLDN7tYCbvyNwteoHyCJLlnVuRCVNE4EuIVtVEdATmLbRx11KIezy733EPZXGun+NLHefX9QD+6T/9p3jDG96Aq1ev4urVq7hx4wY++MEP1vd3ux2eeOIJvPKVr8Tly5fx1re+Fc8888ziHF/84hfxlre8BZcuXcJrXvMa/ORP/mQNstzr6Fd+n0/SBPX0ZC2Ev/t8f45WwKypq8SaBLScbKpOXRxGCIyeLCj2i2rLtvO7KQQ0/m23b0NQXhJi0eQrBsZNwLiJ2G4jttsBm82AccPKHWhPrli5TRV6JnM4g31HtgCPanEiIA7ApUsBV66OOD6O2Gw0uqm2OCqVW/2bAHBQTJ0JQlrErIleAxgjxniMzXAFUiJEgjnfTuzZKNj6eV8zj63NlfUz6o8777gnDf5N3/RNeO9734tv+7Zvg4jgX/2rf4Xv//7vx6c//Wn8+T//5/ETP/ET+I3f+A382q/9Gq5du4Yf+7Efww/8wA/gt3/7twGoY/GWt7wFjzzyCD72sY/hy1/+Mt7+9rdjGAb83M/93L1cCoA1dVvTxIecm7uZKYccIQ9EaPGBE272FSXFws+u5QlEEYEHDUEL9J3qKJpNj6YxuzuBCr07nHqAR2R14VrHBhFjqULNlFS6jOJXouch220iVUHVmxOjURsrLDlNc0348uCORyUBL0b28KXR2+ntAQgAbzCOl7HZXEMIW0iOreXKgajjWQLq/tA60rx+Tvci4CRfo7Hz0EMP4ed//ufxgz/4g3j1q1+NX/3VX8UP/uAPAgB+7/d+D3/uz/05PPXUU3jzm9+MD37wg/jrf/2v43//7/+Nhx9+GADwy7/8y/i7f/fv4g/+4A8wjuO5vvPmzZu4du0afvn//X9wfHzJEAwP8HgKrT6gHlWpN31g21trF32IxVpTM0reWr+cBOAEoAlMA0oiq2a/g4yv4it/9P/hD7/ye5j2f4SUJjgu74sxVcoDWl2LmRdMtv17Fb2x00KpladpxrSf4UUt46iEO4AS4IcgGEalkYsR2GxHhKjwXjD2KZBW1YeoRcKpdpaQWlnk+DhAgHjrwIKUJxRzehkBRFdxdPQwHn71t+JVr/m/sN1cw5QJ05zq4l47kf1uu3691+JrAfdxcrLD//13fhbPP/88rl69eldZuScTpR85Z7z//e/H7du3cePGDXzqU5/CPM947LHH6jHf/u3fjte//vV46qmnAABPPfUUvuM7vqMKNwA8/vjjuHnzJj73uc+d+V37/R43b95c/AC9KdL32Gk2dJ+z8GLmyVnDY2lUk6a4syFb+qyIVu2Pg6XNsvXcXB0fYzQTqMF669pQgaDHpz0bz80ut8cV9kuYpsng0LZYmGEdFxjjEDFuIo6ONrh0PGIYlDUrBEGIquVjVNNlHAM220FNou2IcYyIQ8BgGl/hR7PdicAhYrs5wvboMkIYNCrJpBTLd7Gh1/PfO5m9jd4/15cy7tnJ/OxnP4sbN25gt9vh8uXL+PVf/3U8+uij+MxnPoNxHHH9+vXF8Q8//DCefvppAMDTTz+9EG5/3987a7znPe/Bz/zMzxx8TwzvWpZhdVrglO182PZeH6PhfdVaRtBn51P7WtNS/Xz6TqCIYdA2g/M8LOxFMkjQUZ22qLoFZ19SsmF49jkRqR0fVLu2nSlnqHaORrtmQZxg//aysgCoo8lsNZQtz5yZkQjArJ0ZyHHxLJZbU2AcueihSiENuoybI2zGI4C06IKCsdLW7MP1btU/u9PQ4OngF9X3+s+dZ9yzgP/ZP/tn8ZnPfAbPP/88/t2/+3d4xzvegf/yX/7LvZ7mnsa73/1uvOtd76p/37x5E6973evq33q/bmK0POzuTQBYaIVDv4HVVsmtit4Fp8XduiQoI+XRvI4RwzAixoic5y6QRKce2ELGKzISLP2AqrYMIWgme0o1COMVPi3o43+7hhfMs+60IQLDCGgdJSMOAUTaWyeEgGA+glbuG/FldlL7gpwZ86TYdU6t4CG632MsspqcluHdSdkavvb3vP73odcOmSlAE/7/owI+jiO+9Vu/FQDwxje+EZ/85CfxD//hP8Tf/Jt/E9M04bnnnlto8WeeeQaPPPIIAOCRRx7BJz7xicX5HGXxYw6NzWaDzWZz6nU2YnbPJYEFZEAq6K0RFNBw8qWT14StbfF1Ut2JAllatNq5ej7nGBdY11kIApiPEOIlBBoA2UM7IfeYPGptopLfQDFqUsyOLX8G5riWXMxeFcxAgwulYeZ6zaYJoVwtyND24AU1B6fkjHkoGAbRln8DYRw8Agso54jUetA055o/sz9Jioh4gCj07GCwvB/j/ypwmqqFgPY2di+oh2zutU8EoAZ67iWS+ZJtcB+laA/yN77xjRiGAR/5yEfqe1/4whfwxS9+ETdu3AAA3LhxA5/97Gfx7LPP1mM+/OEP4+rVq3j00UdfwpcrXRlbIhCKQHLWLDexEHWagZIRjJxSTPue/mmvawah1XAW9VRJEpgyAqkp4miJoCDThMIF0ywQuYQxXgPKAEmi2hEJuexBbCyxkmpeSEGCIANcQFxQygTigmEMGMeIzXZQ5qiUrDFsw9PRCbeOCmhr1VBp/04TMO0Y+zuM288lnNwSTHcI0x1g3gnSXpCngnmfMZ0k7O8kzDtBnnSeIxcwCagoInO0HbHZXkYcRst1sTwXIeS5IBrjrgvsIQ6aXqDXtvca1r2X6GU/7kmDv/vd78b3fd/34fWvfz1eeOEF/Oqv/ip+67d+Cx/60Idw7do1vPOd78S73vUuPPTQQ7h69Sp+/Md/HDdu3MCb3/xmAMD3fu/34tFHH8UP//AP433vex+efvpp/NRP/RSeeOKJgxr6xcahMDDQtjIP76qjovx3ay2x1iJrZ6ZWj1CGZ/7prmB2hWl2IjdDRgARtc98NWv6c3cPyyKSFrEHiCr27A5WI8zXg8i0tBRYn0znQPQkrp4CTReDchoq9QMTMOSCkifMMSNEat0j9jOmudn5nkrAgY2/UEDWVS0Eq8EkoJKOW39Qsbk5pKlf6jjLlr/buCcBf/bZZ/H2t78dX/7yl3Ht2jW84Q1vwIc+9CH81b/6VwEAv/iLvwhmxlvf+lbs93s8/vjj+KVf+qX6+RACPvCBD+BHf/RHcePGDRwfH+Md73gHfvZnf/ZeLuPM0TMfeeKUUyp7dU8PUa23Qx+LyFr3/2aPu1O4Djq4JtIazSKEZBX92mvS0kW9XtLIhOCmhgCVAg6ogZB50lztYpwjPZ4uorQNITL6SndXeL0s+PFFrOsDtMlrCIqeKPUGIZj21wVClbXWu2RYN1Csi0j82sTvtbAWQZ0Rbzg07nbMSwnh35OA/8qv/Mpd399ut3jyySfx5JNPnnnMN3/zN+M3f/M37+Vrzxx3c1aWQSBL+AdVrbrW/GtH86ygwhJX7xaCay0QhmGr2/fJEeb9BIF39AW0C7UjJPoTmnTXcxfJSKkgzU6n7ELnzrOeRYM4fZKUnsaF0f9u96oSHuzJe+95DRgRhsFyWwb9Li9yEKuyyTlh8k4ZZQJjo3MhUtee+ET1kMvqed0t2PPHOS50LsrdBNy1ec/fF4eeaapjwFrZeMvJ7wpw0S8E5yNUoS4Ftd3eMBzh0qXruH3necxpD4Eg0wTxNFVHVeD4un9vqSiGiJaQzXPuNG9nf0PNByfr1AUiVaDXvCW+mzELCAleOV8Tr8Tb+3mVzwCmCIABC8mLALtdqTuiiDJ+lYUzv5g5W7d/PEL7UmKSF17Az8K4+24P+uDUxvTRL4A+EWh9/oWou9cGe3jVVLDvKcUSlQYwHQHYoEgEaICytU5VONePXAM6FtQx4UlJoJfc0lf7h8xMCOy7VTZkg1DpLWwBRMur8dc8D10zG7XiPiXN72bOGKw9eGvaBSMp0pTceU4QYaOpOI3r63dQdYQP5Zi8lPFSQvUXWsCxci57Z2btdGqwpKyVzEHNvTBXsDRLmmC34gU9vxbkKllOQAjHGMdrSOkrKAA242hUDYotw5mynBIYzh1owE3lLSdINtu8Y4D1Zk2lKB69PdqAWXByolX1YlBejKGG6JkYRbJWlwYn+cxAlkojobsZVZ9AfRdBmu8gpaR5KyItEuu2ODTL0jm8vXb1ECR4Vnpyy7s5PV5qRsmFFvCzchV8uOaoWYYVXViG59e2+DKy1jS2a/DTjZma9iogSA4I4QouXXoIw/AsTnZ7FFFynJITUtprOqtRKRTrkpZSo5FQEMLakMSOq5xdAIM2cqIMZsI4RoRAmNOJVspE7a0Zoy/gYpHIbPfi99jSBzx7UpsJCKZpwjTNxosYtBtEBsJgCydGLWzoTD1YLMIRnF75LMzFGA8K+XmSre5lXGgBP6RxDzmQbQEQqDNL+s/3zmgfxi/aWMaEomnu9rtRPhRzAgsGMAhHRw/h2vWHMX91h2m+pemw0hUaC1ckRgpQUiPXAQK8lXdKTu3WoLs4qImg3dHU7FCq40Gp1ky4PXwfo+Zn5wxInu16dSUxGMJkaQCzJV8Vi2zqvOk89T+eJ37ACRf3W6iaYrKa90Ph+LMw8v64ex0XWsCx0sT60unCh6qd4cgALZOyDkx6e4CA25W9gwn0+Sye/CQWpRyQiRHCMa5eeTVOds/jj567g3k+QaACiNM9a96Jfq2G+30xoVIqoxLweHmZmhelOpWCgpQTojCYtSdmSgkiqAT3rcuEciLqNSeDImfIfoJ0eeW1vzzrde26vjilePH0HkybDu+3j/rvogqiTyrz4ZDtWojXFT1rJeTHnXdcaAFfC+ba9PDX2vv6mpstvSCvP9sS8O08WGHKPUQoKpBOLSzCKJkgGLDZXMHVy6/E7uQmbt3eQ6hYlmGAFIUCI2kY3zs5qGL0fvUWsGFgjB2Rp0Va1XdUId1P2p/H6yv1BxVXT2nGNE2QJFV7iy3WUhrjlSaZaeKUavKsVM65QwPtGv3zi/n3RS+CgL7TdHsW68KFtSN6SJjvPyfTxlk33OxoS9LBUmOse6EfEvTOvLZ/S8shgRb+nkZbNH9bJAG0wdGlq3jFK16FEAUoO0z7PUpOdXfQa1AUReo2bnnh4jAfGXeJmiXaDUILgJkN+twniKRaITQM0VJhVXPPkzaxSntpkUrWRCxNqyHzB8g0e8Y8K5rTHx+jCmzKNkFnyNvddtOzBPcsze677t2e96Fx4QV8rcEPwYb+W0CLBCDV4N6pbZlfXs0SlE7wnWOcTIPXMhnV7iTGUGZ8icRIJWCMl3Ht6sMY4oBpvoWbz30Ft6ebgKW5lqJ5M5ECCpM1z1PdWIrXMPoWb6Q+5sVxjGA2LNq6KkcC9vuCeZ6w2QyAGNmmtB4/OQPT1MyeOABh1KokJQkV5NSQHTZaRg5aByogSE3rJVDxqiWoMlhbEQYZKjTe0JK1UlkL/hIWXWaDnmdceAEHTjuZa6/bJyqDQFl5ARU1sOR849iuZoY058grbLzIVmnHSkUOvOZSzR4ym1PD8yQFAQNyOUZJWZOVMCAOCRR32M87AEUZohi4tBkBEUxZvcmUxRKtjP2VqVbejOOIMIxIRZBFu6spk6uo4Anpe7uMadwjbgKIMzgyhBgDCoQN/xaNphbvF5ottYCAAu0uF+NWlQKLfQcgSVNiWRSCVDOEUWBIT6GKElEwbBwW3KpptKhBAV20nYPfoTN3iy7fbVxoAT9kc/vrB6Em4Yqd1+PEtXEbbTK72W/vAlgGiXposXiwB9AdQwZACkiOgKKNWGOcMA57pJKRyw5FtNevNoDNoEgYhwjOCVPS2kqvuCQOCEMAhwGCiFyKlp9xBtEEWGuQlDNKNqguA5gzhDKKCLbDCMQCooQYtJRtHCKi9RQSK0/TfpgFBEaMQ93FivcBLbFNT51C3VlqRVL3THxuAZwS3vbT/JtDaNe9jgst4IfGGt/u/324vffS/l5/ltAewvr8hxxUtSPFs2whAHJmpDmipAjGJWyGAjkCmAekfAfECZEEKDOkZITBFh3NyHmn3YMTAxRAGAAMyBJRsiIxgQlDTBZNTbbgxKrjW56KRnUFmR1NYrOn9d9Om6zZi84Jrr/dBs45A8UKLySAe7TpHPJ3NyE9pJTcLj9kfp5nXGgBP0uDn3mc5Sf3r/e/faxt+rMm9mBLO4Ftv3XfBQRgK/qaJ4HwJQQSDMwguQTiZMJ8G+PIiEPEbtqBomDcXNJuD1nRGUEEMCBnghQNwwcCiPYAdlXLqmPaOEiIGChqWu1OJrtRMzHY0olFulYqfvl6L/v9bLBiBjmrF5bKosZ56/9Oz3UfTDv4HJzdq6PQcwSm54A/77jQAv5i45BGvtuiWOPgrvnWUc719rr+PjFtpkIJ1bQlABLBdIRSAlAIJAySDUraQ7CHUMCwvYRhCLi9ew5CQIbZGYEgJUCKVrjnzAgMDEMA0x5SklLIAQurqpQMKhoxFWGIBMxTW5ReeAxzjJV51tuuOPmPFn77fcfKl3JgTt2OXl7GgTlaPpvlMzkd0ezx8ftawPsJXFeHlAO5KOvJXZsjtIIWD2n7hYni/5diZkoLBgGMYdhiTupuBSYlyikjcglIhQFcQxguaZ5KKdjvlSxTewCNIB4Qw4hxM2DggoF3QBGkdEdL1aiPHvqPdbaQACYlAapUbNQ5fDCnmwTeAc3Ji2rzLHNLmnN4eoG/2LMBThcXV20dDmv9xefvl0DPWabDWU5mT+921rlOBY5w+jNrr96HOkXFquf9NVXnVMTKLsVQmgDGiMCEnJXncJ6BW7cYqRCIXqGoC+2hHckGhLBFjEcIYUTgiIA90rRDmmY1NyLDGQBM1rUShzTsrzA+I4YBYgQ+qgP6ULwmjilq1GgqnFORrEjDFHWVNZ8nh17tRQgORyB75xxophRbTW2f3bk+Vrr3XmxcaAEHTk/aoYDC+SOdDQ3pJ9MpmPuJ7k2V/lwAanRPazxhvdgzaus8coHRFFSmjMBHCDzgzq2Mk92MGEcVuBw0gskDSCJKDkiJNT22nCDPtyH5DoZxwsBSzSMiV7CG7oiZDUwgbQ9tWrxFFFvqsCMppqbFbV+b70MOuUDbmQcD1g88p/5ZrHvw1GdDywXxUpCTflxoAe/57Nb28OHXgPWWelZgqP7dhaHPOmY53DyxggCx15CbAwWFEAWkBdMlIIgGUNI8I+9FwWlW2515gGTGbBzimnyVAHkeke8gsobnc8mQUszp1K9VWuYCYkKwFiZpnqsM9kGsUnrZ7M0CdTyVE9EMGkJr/ryYw25u6DQM6GOd1NaUjy2S7rxfi8BfaAFf3/CpvjxYa+2WNLV2dg4Fh4C29R5+GAevSjVv0fC7PzRYDrnndfs1MmtK7MABFCNQCKlka4qqKHROlv0HzxcvgCQQTQgxYzMy4mAU0sRW7kz1hzyEaOwBipgAlZnHhNLNFU13VYfTo6bOdsveG1SWyqTNlZ/vfHby+jmpn3QaSemPvxe48MILONA0caNTPm3rOTYssnQMD3n1i3+vvvPFBVyhNXEg3GN35ty14ZX4LuyCQAVjVOscol2GRTKEirJIQVBIKddgfIPDWDCOahtrdxL9rHeDYw6KapC2+UZCt8Ccfk6q3ds4w5v/oY1eY029rQcRTiuTKuSoNng/X4d8naWiasf2NbWH0KrzjAsv4If4/dZVOq4Z+m2x/3c/Tgt8/6DPSd0rBJ3aYmaROp6lq8hxbak1kJpHIhZZZDjyYew9AYCR8avpo9oYnBBiVr6VnFDEGG+dE4WCdiwzWF6DR4IQhrqT6US68Kn/oCm6lgJck6y63UgAiNTwvH64TqAKeCe0h+b5LP9ogUWtnMt7IfzxcaEFPEsBx4DIAWDFlYV0m/ZNWX8XwG1HrLbDAxq5N0+Aw+/fVcxPbaMEFXLuoDX90bwYa1FCYmQ9xRxFzSCcLTrJKCAq1S9Q80aRD2W91ZwPtb01t0ZLyGBtvw39KYTqBDsDmPsynnsjqDa5VLjTFpdo0QUH1OS1Njeoc3+WgB8yP8Q+SHW+cOqz912yFXGEUIBw0FYeHFwNVU9fiCDeMtoy6vypKR5svRvFFoKhAWvhXxO4+3Bhd5RCAFAgUPAUWC0IFhMGMQ2nnfxIGTDFAzjWAY2qDlObvahZsfQHCoABhBEiM5woNOVZEZRBkOaEnIARjJEjqAjmkpGT9qwXePorMAxqgmhWYgFFwTAE0+IFyNDkLwLAQBZAcgLHDGHRxSkZoGyJM0aeSFzRJF/UIkBJuQo6M2taAdxs8pl0p5e6XQ/o+we92LjgAm5awPjBXXOKqQISqdpKAxNSJ8chPk9HzTlD+T8MElQ1iLWyOOWEHtgN4I5shQpXJ1mhPYA7yAEFRWG8GvgGQoiL79H7CUofxwM4jFDmrYxcMrKVpMXBajWZAbEcE5c/ah0capGxvR6HWDlYiJTdKxc55TYSN7hGEcXuCOMmXI+1Le6vNVNlmfrQ2+nOlED3SyTzEN8d0Dst6/ekPoSW19AmuLbls1HMtFizmt5NuKuQH9iWgWUWXe8cizQHeV1O17NzLaJ+HNT0IJNUBAi0sp1g7b7hmYGaNRgjMOeqXOuC14QmEySOEFb2K9RrJKsMkhpEos7M0Iio32cT4hdzEA/5PM3xXsYkPO/nvgn0eJc1Hy7U6DZEfRg2QRrXaIrG7GF9gKqxtHfjqW+yhw+0ynoX8Hqiaq/a/860FddaTAU8gKjVKgJtMXiDrLYY+i1cOyMLzZaHbuFui0bmnMBEiLUhlbbhFik1/K7X4s6kaFc2rLkblT22u92FEOr8aDv0Qt1JD9x3UyiH5mgpvL0T6nNzL2T4F1vAD2gGzaTrt7BuksWP7f5YnU+FSTonSLX48nucGIe687R/C5Ya/JDt3l+/0zD3TbPWQuBbdN/RQkTt5ZRnpLJDjDNCLBXyg6iWD8wgKpjnGXOSRtyPZqoQtZ9+LmDC6ypDWxcCzuUiYq0W4Vqd7Dx6sl7BrH0XF9a2aJfXcGjOmpl2vnGhBdzHKU3DnYo+YCboZ9iemtvI/dbKHSy2DC+vo6X+/YutuCuiWKM0h2zQdbTvUJTPR+31k2Z1iE2zFbHoJmk1kYjmibNV6czuWAq0uoapdlP2+ar343QSzv6V3HzR3BYEgRQLRFkKrtgBOne2KAg1rbZ/Vv1Ya+TDSms5Z/cNitKGC+j65eXrqhGXn3PN1NOy9cdr5FG1nEfzWtJW697gzLGqNhUmOaR9Dgn8Wiu379Zr1w7GS3s2hABIACgglGDVN42jxU2OIlqCJtKawIIVMdHMPXXAffH6tTR2K7/e5XRTZ94BDlnq+XwXPNVuGYeFc226rAtTztoBzzNeJgK+1EBnDXcgmyB1oWV7YO31XvO3VtxNQymEp4JRAGTUhSKAYCnghyBH/7cTWfr3roW838IBN2kCgAAuEaARlAYU2VezQ0EgAaFooXB000Gs9MJNouWupAK+LCogogr0ldI4WqjT/E52r+9pMphO6Sr9eOVfrB1xv6ZDEel7CdH7uNAC3jTaXbbBU1q0dw67Y03Qm2lhiIEshfPQ9/fR0+ItAFnAwqfsxd4x66/X4b/+u3qNfTis7eiFIhwsAcQBgtwoJxa5KE2rEwFCzvvS7OGcBU42xFzMvib0lasibuNn7dDcLUifL7+vtfnlQ4mJlotZF4a+nlKqGHl/r8B9VNGzDPW219sEAzVvAi60Lri90NZHt4hets8dcnb0sStE115Tf/F0hHTpSPXow/I6enPFj+3h0IVwW+WBp8BqJJKhuSdivjE7xlPvTx3AlgOz1owqwEq66TwpxmRfjykiWiAtXi/Zz/1hB77/nmEYTplm61QIp7l2Qb/vTJS1cB/EWKWfGE9EMmGqed7AAinBalGI/lZB94UDVMe0akp7Cc05deRjfX2HtFuv+dZacH3ftaQMrH5lvV9jn61xb7LEXNsB3IA+gJoAukALAd5FuSgogwD1ReoduO+A5WKEtIgruFdAh3fAnua6d+IP+Slr8+Y840IL+HISlt52NUP6LR+tzUdP6OPazc/pyUcqMKr1Dz2gQxrFkknrdQDLLbXHs/0cDhP6PRwyYfx8zVRpNZPu5Kr9n0EiYKpLTrV8PRvX9oi1rw4OC6CIboC9r6gmkdQdbG1OiX/wwBythXdt4rm5ecgR70cPp77YuNACrmM5IUtl14QGAJRLD6ZlXPPI4ti+wqWe5S6TfZZ93q2ZgwLtD7jZmcUSo1pQZ/2d4oLrwktkGlYFW3OpNa+GAnVa2xeFzRe6eZB+d2koU70d8sUk8FQHggl9PdZNvwbPighIpG4R/eJc91Ly9/29fl7vRVsfGhdawB0S6ye2ISH+Ukvq17IxwNmT/NX2vtvf+jfQmSgrhAPi+doqJCJq8oiIMkNZWNnNAAVJetShaW1liw1wfkK2MHnJBbACBwaBisDY8FXYkI2OooChORoUgqE6+n1s7LA6RbYAgFpmLAiGZXuKASFQmxnbH1CzAeD+h7VF6RYvQHDiTrFKIl+QPnd+bO9ELqOVngPudHWNKLQ92/OjKRdawMkapraxdg7XmrfHuitesvg8Drx2aEP0xdAfW00JqNY7pIHXZ/HPE1n6aSd+bJRWNQdFOqxdshlDYtTIAblyJ5oPgH5Xs/sQApA7/N/9hdA+W5OsxMnAMAwRIglq6AEoXTxA2kyKC3g1b5aokP/ube81WrQ2YdaUyveSF37BBfw0suDjbmZFd9T/metiAqOHCLvttkMb+ssSU4sLe7SCFxaQEep8BxVZCgFDjCgyoMyEbCmt5OmqopU/bVdaeMlwZ5jMFPELFBFkauZBCIyUddEE0gWRs/UUcjOtE3g3Dc+KUroptjbv1lHcfgzDAACLXksvNi64gJ/Ghdt7X3tFto61VpcD/+53B9eIVAVzLciHNLn7A4u3DA3xJClP3y3dcUwEBI1mUnL71WW72E7S2bGkJg3gAt0LngezjPEWjSwzZ89wVHoK751ZDb3Foqk3i95kXIMAwGGbe42b+3u+k93Lc73QAg70AYLTFA6H8hpe2ngx4V4uAnfmTqcGrM5aNZX9XYya+UBBr0q73ZOoXV01vQu7Ve34OanzNappg1K1NRGfEiL/t3eN83lMsy2KygphziYtr1WF3n6fYSq75j5UVOwpscr+u7w+F/5TdHl3GRdewH30gYDe3uu1xtfqkZ97yHJBLbFu1Gtcjz4qqxZL9/B9wRKDRdv6EWm2VLH6SSXTDCglVcL6ugBrq23R8r1ghPqgSjfhFNH6dbkmZ/nOoq28PcxfUOR0RLEiPOyBp2WqQW9W9tp6rckPzdF9x014KIy9htj89UPb4/nMm/Vk92bEUovXRbU4F7D+ivXu4hofFpLRWIwb6913S6c1SaOoWZQGolX6UKU/03bduVtY0lXxeBah+gsixbjSPfed4CwEgCebBQ0E9YoDHQRIVO+FLMLLXbAH3bF91NKdRneW+0YEaxjxvjNR1iu/99TXE7GeaB+9NvG/W9QM6LHiXsOcbmKF7pzL61zvJj1K4I2xmnAvP98LuJhp0AqIxdJnE7LMIM6IkRA3AdN+xjyrqVLrGc3E8G4VLZEsLCrMtKls4ySERHDQXBHtEmEpxaXDv/3+mMAg9Ap+LaBr06SHEd08cbvbf7QYJdw/Au6CeUiQ+0lsAn/68/3vQ8M10qGytPV22mPk94LV9tdG/vFu1MBQDb/30t8HupqtHWNATtmIO+0clifuLciZE4gGMxHclND4gpa3tQQsxgiRgn1OWspG6i+4s+kavL+L9Qz0Qh5jXMyhC7ELuAu5/2gjrKk+8/OOCy3gni/Ra8O7b2WHxOfext2Eu26nIEeL7zocBXLkRSHo5jQSVtmEReq66fYi40GRCjMq7zdjGCJSmkBECNE1YkPwPR+Fg16vkuArIVGz5xV1EW8z7oT4XWyn2tH+DOzmBHJwnff31JsrImLtCTOGYahCPgwDYoxVi88pnT7pGeNCC/ha2PoQ+NoG198OoZ2Grs74BjuBaMCiFBCL7/E1kFJtcBZz1F48ENGbJr39TdXPaza4l46hyyEhcho426Xc/mZv+a3VNzE6ebyB6pLB5NFTrv3tvU+ROqhKqaHXqKbMPM/IZusT6WdckSorbI/2oNvFmlnWP7e+gLpHS1rFkgp6j6aM44h5nu8fDe6jn5z1a/3fvcnSj7ubKKZR6bCz1GvvUooRENG5Ngo3fxwW7MTB/n/6O/1torZ9+1pgJgQT2lK8AJnhfCshKKoR4J/3+dDclFydVTf/sjnNmicjhsM3mBHNISZqr7mJ4v+m1fXjdDzAhXjtZPami//EcH6xvfACvhbatZDTQjDX+6WgFQ735svqNfu1pnvrhbs6uzU/5lxXDxWEPhizRIYW5nZ3T2wRTkU+mtCp5rVqejZHMEM7vlHUsrsOBfKGszp3eq+sdFl1LpkZIRJkFgDZpsSQElgU1IKg9bLNRKEDwt0rh34e+/fdDu936HmerV35/SLgtbswzEpQO1BEt2wRtPAxpBMI3caLPRw9DlAzQSnP+iSsah8vkUPVWAA42EPg9r5/r2qhtgBT9txse7gQ04LKjdIWLPnXtvRQUuPH3tJ7CazFDSZgBQUDs0Y9UwaBMYagJkmds27X6WBNKV5hb2YNaftvCAOBsD+ZMO0NYgwabNL7TJCSkMsE8FaRJ98dqqLo50/zZ9ZVQmJPQOd2iY8DmqClx94nKEofGNGh2jAEbttch7QQKR+3f44QlDlN2KjHRDP6nCsbThC/Nn2W2lVW9iYTA6GhN73G6oMcpZAmLbFGVLzRqyIZerpuGQACZHINLAYbtnXuXRsWC1EEFNj5OwFAsXMx4ZamdT2Qo5oTCBxBFJCTIE0TSirez3BxfYWU4B+k2YpaChcqoqNzpErGhbPnf+kRmEPa3V8fx9Ec0fskkukOyLpiZg0dVvoDK6glKgvN0Oopl+dpyMgy2LAe64chJNV+7svN+iCU25fOXVikQYWusaVP7PeNxO8RAipLJ7uY88akmYdFihKSippizO4AutD4PHrghxFjBFE0+C8gJXUw93ulg+Og5ojTRRCVhRmlaEqj0XMHfD1fh0CA/qIO2evnAwaW40ILuAtQH+Q5VOTrv/uJORQh638qcgE2efAMucZX2B6CT7z+W2mMTzOh9iiPf14XY7Dmqo7yKFJRqBiR/jIL0b+zA/z0vKJITzbGZTENrp9xW5ls7/LvajksIXjxBZvZljHPM05OJlMMQAyAgFpqLq0itzATqu5YUu/dxxrLXj6/ZY7L0odaz8GLj4st4PbU+2hmj2ycBSOuNQhw2gliZo3GBaqhcP1pJk/fb92HBmTUXOjHoe/tFyhBt3VxVKJapMZNaA6hLyLAdwU0JANulVhVqehuwLU0TcPvITA6qwDM1Qiye7PIYQb2+4R51khok0nzY9hITzu4VERqsYML+CF7ev2c/LuJ0EGOpwW9VxDnGRdawP2h9ILio4eaDsGCh147BckRQAgmDHTquFOmycL4PRsSO43EFEMv/B683qYstKHCdUaxbEhGw+FRzQJtA9gMg36e9LbIckvMNJOkmr943apgmhJKFuRsC6CogOcCUBDr3hYhXUCrFN1VtMXKYc3b76RrqLUGibCcKx+eRXhfZROuhbKfLNcYh3Dy9eg/V8+nH0Zjt3KnjKomb6bLets8vKjW2Hl93To9LO5NM5uqYIpXtlvlTc02dA1JVLd3LwwuRSnI+2vwxaTh+wxJFqG0ajjVwspvTgQMA7CfVdhzAQIJwsAIHFCE6/0rnt5qXdd2dP+7f2bL40q3Xg8Xe9/LuNACvkgn7V8/sMX1WqN3OteC3R/nNirgzE1sNYL6ueYklhoUsZOYybFMDe3p0TzFAEDtqpBz6oSFFpi6CzlrWwVddBgwJ+8vucT8mQgZ3jnNhb0g5YRhO9SeO/t9RprVDIqjQoIiBCbBNGVM+1lbexuE6BmC9cI8GOX+BE4Lss9VNf26tNfTabLLZ7r2ne51XGgB7yNvZ9ll61zkQ3bfodELa/93fy5HcfqtsxTdy5U9aungEi2T9ev1FFGIrX6HPfDuWlTLN7hNW6KUtq2TwZeu7bt+9SLO/12UcYutc0MpANiEPSJwBMD6Xi7VYc1JT+9BoiKClDOADOLetOj+Xxdcew5+z+tdrF+YBEYXiVrM0+K5nHNcaAF/MehogbN2nwGWgt179WvNg8558tfW510XwRbbZtf2/xrlWSw2WpJ/dl/dvrtWlwtguLPf2tKhQyX0YiPRTUlNIA5Ky6aEnhalDKPuUCbc85yx2+2xO0nY7wtSAkaDB73BVc4ZgUWr/fvdo0c2ZRnJXM9FPwf18+ZfH1JY952TCZxGJw7BSocEfU3G00N4vWCW3MLZ1VmrOSI+2R40UtOhEFAW5ks5uLD8bxVwFVAXbBEsTBRBJ/GmwWHFxI6cOMDS7hfrHR+lACd3djYHGjxxYnsBkOaC/S7h5M6MaSooGeDVOZol0dn+np9uiWN6ucpqu9bYABZheH+OsNO6H7A2G9fP8zzjwgt4Pw45isDZ2qAPxKzt8aUmX+0WkFPapNm+DOJoSEVLGOqrU/pF2Ram/93Z4NLntahzKJ2QV0gwlwbNscGBTIqLQ3nCo1El5yKY50Z6n7OF2iVBCmGaEnYnGfu9CTdrZDhwMd4Xmz9TtT4X7oh3caR6L4fQlEM1tHVuz9Dg/XM777jQAt54upcTcpZdvUZV1hq9t+ddgHtNfwie6r+rZvZ5QEW4ara+/Ubv4Or36efFVHCzwV26LdFEBDX3xnYQT2ctomF0NvlXfLolS2mBQUHBDBIgRi8PA/b7CSmVBgXmFtkMHM3XKJA0a7je56MIKAta2q7tZvXfp1MV9D7lFPFPff+Atr5vncySZ6TsODVrNzGoFnAYr3d4lDPkcBDBf/tkVs3u0TqyMqwGrUCy4tQwYfTvE7ScaXWbSNNoz9DiKKKlX4ZGcCXLMWo2CVWjq/RqyNMZXkOIIAkoiVCIkCAg61ZGjnzEoG0XZ8Jmy9YRomBOWaOH7Li/IAzAwBExDIbamHMsAEKy+RwxZwDMiMMWIQ4QCShzQeBG0Vwdz07QSym1OkdEFtU7UpyqAhWdcRMpZyUsyvcNNyE7YiDQJqU9p4Ym+Vd8VgCsqsD7SV/j5gubHoRgW/CCrMb3Y3OMPK9aMxIFQk2ju23sxO6u1YsJjojSLFDV3JrVRC6h4tpRAEoVBa8FxMQoEiBFkOYMJu0vL6QUc7kUjGGDYSAIFVDR0L6H6WMY4BU9YjsAU4BXTSURpAKAAihEiAQQD7h0fAXHl69CEFCco7DbkXy36tmpiAibzWah0Rd0EStQwHsAgRrOf95xoQU8Rt0+3cbtJ2ltq6l2lVNmjQu2f6anFBNRMar9GTvBBJZJXECvlVXrl757gigc2MOLzIzMDEkZxawPgUOfCuHZh+uiBaxyyBYBSUYpCVo97zg/2T3bTxakaY9xzBqmD2ItBANitAUcBrs2mCIgE+4ZpQjmOWG/zwhxRIwj5hnYbi/h1a96GFeuXEeyloPeSlylvNnsa0KfYRgWjuchlqt+uKb353ZuGTn3kd+g45BW9J42/r4LsBQnc2wT2nv4felUxc87k6T36tf0FMuq/CVuLiIV2nUh7+17A1Fqe782XMjdsQQ4FBBb626ZUWRCSjvkPCFwRoyMzXaLkmfN0c6CuQimSYU1BCAMQIgaiXSNqyaImwT6nTkXgxTtZxbEqHZ5BnC0vYyrVx7CELeYE1XhLlLAIS7M6bXC6dNle1s8pQSvnl+bji/FFr/QAq6TMVQh7iuwe9TCt0g2ss519KzXJL3T4+bJoZyXsya9Qo5YmTOuyboH68MzF0UIKGpzNARFzS/V4gBxAXgGygyRCSnvkMoORSYwNL/k6OgIOQXM0w5kXdfQITJqrjUMsfbqgZfAqZ2cUsY0zZgnjXaqfxAA0VTa7fYyxuEIOREgEYAx5EornPBdZe3vrDX62ky8G43yvQj6hRZwKWXRgazXBK4hPCSec0buzIy1eXEW5upCoMfq38wRruGoVgkzgAwiNjNDP12FHDCb93TZm6agWDdhCprLXVpDKNXqxSrZC4AZwAzBDMEE5mKmRougDsOAnGYtDhA1b6QyVRGkyz+vwk5cX0+pYNpP2O+UJStnIAauUVCigHE4QggbiGhDrJTEqoJYqSn05PU+177NoeAZgIWSOStZ7rzjQgt4b3cDWGhxnySH/9Rzn6u54ltgrzHW2DSAis61rgJUUZuG86ImSrlDSxbcrA/PTJ3QXU9tTS2osJ82k1KIr+8KR5bSKpQsy3CGIIGoIEYAFKtAz/OMq5ePATGcuyQL2fuOJgCcv7wFqjRTURfTPM2YpoSUVLhBsDRbZZUlDIhhC+YNmAbkzEipIHAABzZew9L5A6dpkv3eDj3XvgjZn5Mrq/tGwCsv9gEns2dIqmxI0pWyldZKZE3yuIiuWZRv/X7/wHoWJiWxBwDp+mqWyv3nVTr951rwpmHH+mAt19pa8knJyDkhDhovF0nwtVNhPAC3b58gUMDRdgtcCrh96zaCOQH76UT5Be16Q9CkK4+aqmkyI83KYOVhAB6MURbuYwDDsMF2c4xSBoAYwWDRlJLVbJ42P84K1PSmS28u9iRAvaI677jQAo6V3eYT42ZLtb3tfWdT6m3jJphlsRjqIrDgTVMaLYlo6RBSxYyJHItfXKzWfaIsFojYVt4CO1J3CCIloW+xJiuINEnWErVSd5g0qa0eh4LNkDDEAuaIYRiRrW1fjFHzv23naXMBrb1MlmCV9TVmIEbCeLS1ZrPGUyIBJQM5OUVzt9vY3JyFdhyKbvo4lNfvn6m0EcYTfp5xoQX8LOzat7J1tCx0214v5L4oeq1fz819ydo6atrj6q55W1V/r3XgVfbIiwfctDcs38QFQ1NgJQi4qBNakKHFaJaDUmACrhyBaRZks93v8AkiB4ybDZwHHHD7Vs/R7oUMMclICUhJF3QIwDAas9QQMc1Nsw5hixg3FVJsC6+HN5tiWNvf6+fY/3ttn7sC0nrRZWXQi43zH3lgvPe97wUR4e/8nb9TX9vtdnjiiSfwyle+EpcvX8Zb3/pWPPPMM4vPffGLX8Rb3vIWXLp0Ca95zWvwkz/5k5US4KUMF2LlzBgq7ZdPlJPHzPNcYagePtR0URXG/X6P3W6HebZtsCIPS7RlvQsA/nA8P5sX38GdubTm3WP2kL4Lu6l+g+ycKpkpqrCKd1hzTUtQwaeKkOx3CXfu7DDt59o7CHCzTjsfh+iOrUuh/qjWBoaBMI4R4zhoNNdK2UTE5nm0xrMwlEavXyoTwYvbyr1NfujH576UUp/fn0hFzyc/+Un8s3/2z/CGN7xh8fpP/MRP4Dd+4zfwa7/2a7h27Rp+7Md+DD/wAz+A3/7t3wag2vUtb3kLHnnkEXzsYx/Dl7/8Zbz97W/HMAz4uZ/7uXu6hn4rO1SX2dvb/t2OrPRa2lEHpwXzRZBzBjho9iB7VHGNCtSraWY0lprKt21iJ7ds2YsVa9dPmANYQ6OAeHBDIMLQErpkJoxCdpBg2YwjRGaIEHIp2O9mMO8QYzOdOBBSCwza9QGAknQOA0CD747RFAUgJUFL5hLEizvW0KMnX2nYVjMLV+iJz8uLBWvuBuXme1CGL0mD37p1C29729vwz//5P8crXvGK+vrzzz+PX/mVX8Ev/MIv4K/8lb+CN77xjfgX/+Jf4GMf+xh+53d+BwDwH//jf8TnP/95/Ot//a/xF//iX8T3fd/34R/8g3+AJ598EtM03duFrLzpQ5hqb4OTIQnFqsXneaq/1UQhDOOAzWYD5d4r2O932O8n5KQ53kzBskssfC4w59GTv0wusXRYz7pO1d6u0d2xpHqesnBALWsPEUAEUwTzAH2M7fMqBFpXeXKyx36/123e0hkCO1UEIZomV61uWnsTMW4ihoEBKsh5xpxmlJyRU0JKCamUZlidusdmdgF3h/UOISv96/0z7Hfl846XJOBPPPEE3vKWt+Cxxx5bvP6pT30K8zwvXv/2b/92vP71r8dTTz0FAHjqqafwHd/xHXj44YfrMY8//jhu3ryJz33ucwe/b7/f4+bNm4sfQAM9vmV5BLPnku6jlbo1c+X1IBIIMnKZkfKElCfkkgBk3aKHgGEIGOIAJiDNM/a7E+z3O0hR7pEmzWK8fQVSMmpanjTrtA5NpgAxq9kSAigGwFATDgOIAgRsXX882StBiXUIpTBERhBdQuANCMG4SLIhN3pZcxLs9xnTXpBmTX8FAKKCcWBsNxHjEDAOjHEM2G4CNmNUDkMirRO1QE1JAWmOSElt/ZSzmiJUlN6Cil6vMKQESLFEGBtrLXwQkq0T1Ox6NfnCqZ/zjns2Ud7//vfjd3/3d/HJT37y1HtPP/00xnHE9evXF68//PDDePrpp+sxvXD7+/7eofGe97wHP/MzP3Pq9btFuNbaQH87Zq1zX8qyKl3rKluggUPANjBSarS+OWkFep+f0i7ANhW2SpZDD5EaCuIcJQQCFYIQqW1Nhk1CABJQUI/SQRsBAzKCaQOChsSJVCuHyOAsSPuMnBQZmckq8RHAQXA0AptRadmkAFkCmLNSJAthmjKSZRnqWmXkHJFmICUyfD1jP+2wT3sE1gUJsF12AGWySokl7LqOWJ4eVBeoO8DL5ylYtF5+kXFPAv6lL30Jf/tv/218+MMfxna7vZePfk3j3e9+N971rnfVv2/evInXve51iy1rXTnToydLrLlNFju3z6rspT0QJ2RXezRnywAsGsJe47vwU0lDR07h6mcMojW6sFyszUx384YhpCVmOWVQAMZxBHHBNImm8haHQd1mzQgDgaOmtwaOEFY6O6BoJDIrVj9nhR1T0h1xvytIM5AlIgZdCPNckOYEHqFpruIOrxdj6H1UOLS7vwVM2iEnmgF61hydP8nKxz0J+Kc+9Sk8++yz+Mt/+S/X13LO+OhHP4p/8k/+CT70oQ9hmiY899xzCy3+zDPP4JFHHgEAPPLII/jEJz6xOK+jLH7Memw2G2w2m1Ovr4MlvTC7mbLUGKc1/Dqitt46vUXHWvP03+UIkC4qMsNvaYf2oxf09n1NkFXYD1+TLwRNK9UFnovb1Vqwq7Y1g5Br8UIIZncHOzkFgCNQCBpq1wDPyS5jtwP2O9XW80zISXDrBQ0qhWjBnkIIPIA4Kv+jSHWQCQKwO6Cn7ev+npaO+Pns63sR9Huywb/ne74Hn/3sZ/GZz3ym/nzXd30X3va2t9V/D8OAj3zkI/UzX/jCF/DFL34RN27cAADcuHEDn/3sZ/Hss8/WYz784Q/j6tWrePTRR+/lchZOSIyxdgJwoXcbvY+OrUvTDkFSh356296/23cQR1zWPsBZTmb/PevXDt3j6dpO8yliBHMwN6AFijgAcdAATRwUGYn2M0R3RiNEGDkzpiTYTcDtk4LbtxNu3yq4fTvj1gsZt24V3LolmCYgZ1JURwIIESHoLtCzffXcKGfb2WfPw93g2Jcy7kmDX7lyBX/hL/yFxWvHx8d45StfWV9/5zvfiXe961146KGHcPXqVfz4j/84bty4gTe/+c0AgO/93u/Fo48+ih/+4R/G+973Pjz99NP4qZ/6KTzxxBMHtfR5Rr+iD+VoN2ezx6uXpVRnTmIzmev5ekzZF5l/R8oZ1IW4Dy2gw2P5/f1u0fyMhtI0Dj9tBain1yqacQyQzChBi6UDC5gLQtRSNdW6ASUBu/2M3S7j5CThzu2E3S5ht8uYp1KDPqVjtwICNpsjHB0dI8aNOZXUJXIZN4rh9a344ezoZf/6WfPzUswT4P9AJPMXf/EXwcx461vfiv1+j8cffxy/9Eu/VN8PIeADH/gAfvRHfxQ3btzA8fEx3vGOd+Bnf/Zn7/m77jYZnhzf4+Cawtm2zPNohVKyYc9NUF1De0rAUpMnFMsmXMOBZ13/0k5v9+BDIUtbIEVQfKHC2phUH4BAXDCOUXMbk+W5B4CNw4RjhBR1nKcp4fatCbdu7XD7TsLJiWrqNGmClZZ5WuJXVm7zzQY42l7ClcvXMQ4ayXQzrlci4mkFB+7H7/luePjafOl/38v4mgX8t37rtxZ/b7dbPPnkk3jyySfP/Mw3f/M34zd/8ze/1q+u4yzzI8a42N7VJnfE5HQT0n60yQWUd7t9F7ECBMV4SrykilgQWesnnbBzrZU93Nx/h+4A6tTqNQE93YJnMjIHI9pRU8DZtMZhwJR2KOUEI4BLx5cRiZFDqWVxWQpICrIU3L49Y06i2vpEcHICM0FMsM198PRdpoA8z+psB8IwRFy+fNnKztqOIhYxpeAw39LHOZSg1s+NOpmt0KGHefvjZZnkc9dxoXNR+tGbG4de780IH71js4YV20JpVTfuOPo5aojb7N+maU6TCvVmUF+BtDShlgjCQY0lsO/qMP4YMWCAYA+RhGnaY7x0XBduTglpzsYEBuwnYJqB3c4E23JPrNbBemgxmAcEHnQHySpYIbIJfrsgvRexRVmh/nrM2iS8m8OpSVphIdT1PixEfxZrwqFxoQX8bubG3ba1tb3dQ31rbd4/yAY1Sn2vf23dCaKHDz2HY5qmZQ7KqS3a01ZPLwx1JK2tn7TrYWaEaNU0nrMxazgfQhiGDYY4QO1jINyZEUNBoIQhCLKoLa87j6gTSerAapcHRk4Z85z1tciWG+5EPwCsIJpcurE0S9bCfZaQw9rL9BDv+nnfi6lyoQX80Ogn5ZAXfhZ64dlqAHAaP2+f651X/z7/u//u9cP09+Z5rogLgEXilWq9VoPp6M1ysZpZZDnmbhqAlrvQrdu3oKzMA8ZxwNFmi2HU3O9xmJBSRpozUs7IBYAwUhYkS5OVolU5EOUgPMmT9rePghgJbIlabkotNHi998Ma++4O42nl42NdznaeceEFfB0s8Nf6qhkXzrPmpYcC147hekH0lGP9Vtkf2zu26/c3m02FLx1WVNtcMyHXi2JtxvhOoVFGbyOiqcDCESi6YKZdwrRTRzjGPU7GvWVZktnxSjM3Wm61YNnodcp2fclp65Jq70Ag0mILUIETzWpI3SBUHDZLDpkopzV6s7/92dzNGX2xcbEF/AwT5ZAG0N+uAXvsz506fbi+IFSjtq340HcccpJ8HMJv+8ILX0CO0+/3E6ZpsgobT7haRmCl5gJgYYPHGBCHEQKPsAq2mwEoM+a5YHdSMO/3YN6DCBgiLDAUNNMwhJreq9JZFHWRWaEU0bxwQHeALBlpVuIeDkZOVB3jXrgPmyn9c1m/7gLem2VnAQHnGRdbwJ0YR1wjwf4tWizAesxyi+81a7P5Ag81UCLC8ErzGp3E0vn0v/vhr3tWnzpFvZArutIfo9l/nqs+WyFzv8W3Hjooxmbl30OMQoRIhMvHI4rsUUpGzgUhjNhsRivMLppJaNp5Pxlf4aAJZ4wCJ9bSWdH2gDkJZkvwLBIxJ4CQsRmLOqZZNT8KgYq1HqlC3X6awPfUea5o0B3bnstpU7KPVN8vTqanrRJA4jRtgsCE4sxQKMvt3UPJdgbVDqSJR9LKt4CGkvT2df+zNkt65EW3bN9qe81P9QETkW35fjzXXJc+YqqLDCAOoJqWy+ASlEsFCdvtACFgPxdjhU0IYYvj40GFvuyQyoScgTKPiu1zRqEMSGpZgwVqm8+E/U4w7wEwY8rAPBPGGEHYgmhEngkomgSmigag0PkkNsdVEWFpdvVPcj3n+u/efOya7d4vAg4c9qjXW5pPaM551TVh2WXAtQgbYSaomQhnwY+9jX+Wd7/2/teOq//dAkasASOz5fdTMi3ekJ6aWSgaVJGSwQNhuw1gFkiJIBkgZaO2OgUIomrxedQkrTIplm7XyUxISXCyk1aTGTTbMNAWw6VLOL78EK5efQiRt1axXwDSXRAmkK0XqcOFS7/i0NwsXz9/aP/FxoUW8LOEu//3IUdxnWK7dmia3eeYsyweVH/+/rX2HacFvn+vBUH6a1Yt1qDDhgRN01Tvhcg1WwEXGKQ3IM0FMQAxDlpfKWIdGhJKVhMFpNU2kvdqTrBGN0WAIsphWMSawTKDhg1KCRAZwfEajo5egctXXonjo+sYhi20G4RAyfsZHESTt0i6RdxDrYef06FxN1v9vkJR1uZD/7qPQ577IahwbV8XEXjNYn+4H9MnXy0/f5r7eukwriHLZeCmf4hESlTZo0IewYwoYGxBdIyc95BpB4FGUpX6IWPaMea5mG2vZWkBxllowqdUbvpdWuixQZER856BHBD4GNeuvxab7XUcba4ghktg2gAYAIrwtuPLcuMGa/YleofGEl49DBAcQl7OMy62gK+2fP/3GqLrhdaLfv31s3BuP7/IaZvvECbehK+c0j5r270f6/SCQ6aQE1UqtCgm4AWlBERcQWCC5NuYygkojCglg0MBC0CxgLI63cxBtTxp7nfKALFmGW7GERxGFBkhssE8MRIBIQzYbK7i+PhVJthbQJQqmYI2xFIz25Eemw8RkDjNxWnu9bNHK3hw7d8jSTpn94mJcmgcEqI1VNcTO/aC1weG9IEwGttTO1fNHOxo49zGd1y779uz/o5Dr/cPfl28kRS+6M4rLXW1DGAeITIgJSX8IQoIsYA4oUgCBRW0IUYMERi5WNmewZEglBLAYYsiI3Z3YPyCjGG4jOPjh8C0geQBpTDEkaXi7cE7CNY7H4vCrlxz41ux9VmjhwodLekVkL+f833iZPbC5n/3761f80jlIfOlf60xnyrmsg6be4BmDRe2nJJW/tY7qCKeONVfG9nxS/NoXchRZKnpmQM4DmAMKHmn5kHIkPI8CiLimAGeEfKJ2sjuFJOg8AAGkIxXRReLVfyLIKcBKTEEI0BHmFNEmJUjPQQGG0l9QWlNqEJDSDgAIQawlbGd5ascDPhYMbepn2oeEsH4bDLWPO93GxdawNeaDlhO3nrb77WAH7O0/1amhaV79g/oLDt/KcQAkRx833Hwtb3vh7braRo/G9TYFrSzWRFAyk3iiI9kNaoLZhTsITwA0LSAQgKUghd26njOc8I0Z2sTOFikcgPCAJERgTYgOgbzJZTMpvUBDQSptu45ZtwcqQsQbRdrWPjZgR8irUntgz3r+WNjIDjveFkIeD/W2vk87/XCu46q9cLnxx5CZvx6mnAeRnnWdvvyWnot1zuvBypkBIpWEIF4gNAl5JIhRAhhi5z2yLgDwQYgs9mN7zsnLcyYZyXYLEVAFEEYEGhAjBswbUG8QcobhBTBgSwsLyj2O4iY7e0KARYsM3IiXglvN7e9E718jw+ihCItq5B5f/qAM8aFFvCzvPL1OEv7rrfNUw4ePIdkqXnWGuR0Qhc038Med/clVugsVvUi1ZEF1uy23fV061Qvw89cUGgPjiOIIjBvDUU5Qkl7ZGwBmbT7mhSUrEXEczZ6ZspAmCGi3OBFtHsy5AhEG0AGlByRZkIMXFEScqeSnNCovljzWXIu5tgeFuRDPz7XZxVJhBDumQHtwgt4j1r4a4dsPH/Px1p7HuLq8KP7jmVrCK/XyJ6IxUyGL69RGg2vi9oXcIFoOd5NY/c7E3F/Nf4iIJRUeIOAOIJlg1IGSxHYQnAJyiWumHjJGSUnzHlSx1IyUplRSkLK2n4kxBEgNVNIAkgGOLvWAsvoovHMRlBqL+mOIIvnczfTsU8b1vXb76Dtlj1B7byKDbjgAn5WK+/1a2sN3k/wenEstDE5Dn44yNM/NHdgVRvBbOKWzlqKJi2VUrR3Tw1kuzZW8XBHdLHblF60mnYXzpBQUFgQ+BLCsEWejeSnFBREQEYILEswFcxpxpT2KFJQUkbJSkQayCuGIohGCBhFCCSaEltKAZUECYosMQQSlAclC8Ci6I1yo6ixrsLtCqLNGXPreOfpCWzUeGSOaTu+zf08z9AEuPuEXba3Y3th7QXvLO3RH7fUsp1wSePN9h8d+jC0+mTZpqPRU6hQeS4MsdvnxnrFygqbjXAe/h5gvzvzZoHDd8IuBEhEzmwwtNTF5Z3VHH0ppSDNGXPK2E3KwQhbzKwQBShEJdP0KiYSZGSgFAwlKHpSSmuxUpRpi4jsWlSTK3MGoSfgbILa2rPo88jQjhnqmNdlT/18t52NKHQa/sXHhRZwF9je2VwL94Kb8MACOAQn9q+37r7r6hKnXzjtSOlQQSTSCKLDg30TLO2y4DknSoVGVKwnvAnQGSaXXmMA0gAhxgwBkab+BSbIIKAsSGYPF5mRyoQ5zZA81xWrdjI5AAKwaFifUTFugUAyg1gs/GlNtUR3Ii3KFhAySIItYGo2OrVi5H4nck7xUmaIaD45kXkYtdPz2jcyhXDOcaEFPHCLSp7mDmlBHcAx1NPmzHmEvH9t/fca6mqfdUVjRPbc57QwiNQGbxmEQMpFi8py201asfShUDXVDErNB+lNJuU+xKw7Q9acKDATttaj0p1ZIu03H9ibZ2XkIghBg0NKMaenV80tDZaU5gPrJuL+Sytm6+fWexqt59KRJ+pQmfUOXJ37+8UG77m9++KBPsOvL1Q9y3vvx1k49yEkZl1TuYQXARjlgr9MhkMIOaUCqdZDQDGNV4p7byvY0q2S7hoEGSjaeN53K/Ldqgq75mmHoEEajAExjPCKoGKLjqE+TUoJ7D6KZpuB/Rq6qVoLcLu6paO/lkWPbq6pqNucu8ZfZoP2z+S+KTruCeVjjBjHsdY79rkhLvC9I+jC+aJBHBfO1ST79x8ebpNaoMgriIgqDEZmx9diCuiDLaWAkCzXXXedeZ5rViO6bVvI+mUWbhXovnXYvc+WmEXSNcgVo70gZ5lTSDPt91bixhhitO7OivRQzVs3p/gQlFfRIBfwPg3Z4wkaCAuhCT9Re18hVEAbWC1NS0etTmv/s8eFFnAX3F5gXZu79u7p1DwE7xQSPcl6P5Z/S9PAZ8CRy+HatnVb8L/9iZI1d2XSGnlmgXS5eG5W+XUCy+ZM1Ya3kLaIaEpsp9myHZ+lhen1u0nhQjfnSiVpVpucCUMI2FjbEmZGIOU95O4c/Zy3merMlYUGP+3zLGDQlWnnrRDXKJfPCXd5Pi82LryAe8JTb28Dy2p177/jBPvr9E2fzEMaXKmoD1WhnDH8wZb1Q7bz6BfCnVAPeeey3JJ77pSejm7Jfw7kog6Z9pNftVaxeyVmI+OxUdRZJPFrVEHabkeEEDCGiGGIRg8RYLUMlUHroAJtToftNL0f0ub07vNIiwWxPq43M887LraAWy1jr5XdVEkpVYqGEAI2mw0uXbpUX3fNvqZZ7vvQ9wUGQHN6+uDFKTvdILPe7Fk/1IP5M6QUzQ11UfTGTRg7coGrlyKaS5IVWZBk8CR5WFuQ2TShaLNLIiDb7iEAOBh5KWkyWowRQ2TEOGjClNErMwTBKb0MO1ncvwm+a3ciJ+0JpzS9Y94+Z36tpTTC/UOIVz9/5x0XWsDXtjTQzJYQArbb7cIOd6H1JlW9NvTzeO51jcIBqEgDt1YapTRuwtMaaRmi97/cdlXt6tWhhrMv44T1/pbnJ0Nf3Ha3DseUNemVCGyBJLVni5Lad+eWhdNo90RkZkhA9E4YrLknBAKxZhIyWX6Jd244SFzU3bffa+ez9A2/fMf18DuRsnRx52D2UOHaJj/PuNACzrTEuPtt3IW81x7OKrXucrYWcn+t175nY9EHHFPb9pf/95wTRT/EDFYVbq2p1GPKwe/y86+/Pwa0TmwBCIUgwkg5o4ghFQ4/Qk2HQKwdiZlruxLHw0Ngfd9e800psOH+3O1QgVGLiVcZgDln42k8vcv1ple/m7nwE5a9T8/2d158XGgB78d6EtwM6ZGWvslrP6mexNObKFXIgGrLrr/vsNOpuLNqaoaIFfW6RhWyZlACsm4IWj7mrff0W6na6frh9n22YKxahqhDcwgoxLqoaJkng2JCTtZshKz2MgQVZDSF4MLtud4Mqsqktl0hXgi4phqaeW/KIqdsvYc6BzIbEgRgnpOBS3Zu8CI6ujYfD6VHv9h4WQj4OlCz1roiSpm2hhGBZmv377mwiwhyWWK7vlWeNh+W1wIAgtQ0t7gW79Jfa0i65XgvR68V/Z7caXVorSPk56CpARBEAIW0rrQ6rCaBDltq8Mawdjsjd/8moBU0dEgHoJh4MxHVNu/nm4gwz8kcTUNgzPH0XBv3ZWKMeu11PpdMtP49MUYzNe+TdNnTRJlNINaOoOPJftwamegFPcZYdwBvLwigCr53k1gL+aHf64XWV+bAhL9v1HporM2gfhdyYfJ7d4fN/3Y7l4gMI0eldVibXkwEKqIp2e47QtOndMex3/oNFRJ0e56sl32vfXvY1q/ZFURvKvrwWEUfx+jPowviPoEJtXtwQM/tASwFi5jVfgwB036/mNh+25umCeM4YhzH2gplnmfs9l1tZNcOhYi06dOZmrx1ZfC/m4l+GkXRc/aQ4gE31XcB+68X5GouaUAUHoFU5MOEsssjUbiyJWc56qH+YwcFEgBmeFfMGme1XHb/YZigUoNsx3Gs9+cOPbB0NnuuR382fn/FUhhKyXUR9fW05xkXWsDjMGLoyCxda4c4IMSWUpktF3oYhop+AA1v9gfhgt5rcw5KwTDP88Jp9R2hx6v9nJ4M1GxyQavQKVgX01a7kk/vBv2oD140SxBQE2KBDwvUEFbvFSheN8nWecI1tqcaaFi/SIaAIMRgqNkhTCjuZcIQFDdRFLexBclYsIyRp7wu0ac+4CYiFjVVWNd3mnneN/Mn9IrDFUBGyvP5ZeTcR36DDhdSYOlo9lq1eexLZARomLSH+33i3UEdhoCw2SDGuMDQtUPyvKChoIXaOw353dUM0Rs4pdmX5z39oXUxcj8PvaPcn4cItZzMzaT+O3sTr14/U4tUUr1iC6svj186/O0eHGd3jd4rG3f2tfksL861uOXVHL3YuJAC7jd4+/ad+nePcvToweKnnK4G6YXIoTMt9DWOE1aIzLfSXLRYd55nTPNUMxpdu8ORjjO09BoJcISmSKnCYh9qF9mZQdKdR0xT91mSa5s/r+allGLBlMOZlQ0ybHCqdmVWAQwd7Mqcze623a1LMdDChAYfnrbJoeVzaa52uSoUj6KqaLpZ01/ryclu8ezuNkjuZTl8g4z/+T//J173utd9vS/jwfg6jy996Uv4pm/6prsecyEFvJSCL3zhC3j00UfxpS99CVevXv16X9KFHN4x+qLNoYjghRdewGtf+9q7ZHTquJAmCjPjT//pPw0AuHr16oV6ON+I4yLO4bVr18513EujzX8wHowLMh4I+IPxsh4XVsA3mw1++qd/+iW3/34w7o85vJBO5oPxYJx3XFgN/mA8GOcZDwT8wXhZjwcC/mC8rMcDAX8wXtbjQgr4k08+iT/zZ/4Mttst3vSmN+ETn/jE1/uSvqHGRz/6UfyNv/E38NrXvhZEhH//7//94n0Rwd//+38ff+pP/SkcHR3hsccew3//7/99ccxXv/pVvO1tb8PVq1dx/fp1vPOd78StW7f+BO/ij2dcOAH/t//23+Jd73oXfvqnfxq/+7u/i+/8zu/E448/jmefffbrfWnfMOP27dv4zu/8Tjz55JMH33/f+96Hf/SP/hF++Zd/GR//+MdxfHyMxx9/HLvdrh7ztre9DZ/73Ofw4Q9/GB/4wAfw0Y9+FD/yIz/yJ3ULf3xDLtj47u/+bnniiSfq3zlnee1rXyvvec97vo5X9Y07AMiv//qv179LKfLII4/Iz//8z9fXnnvuOdlsNvJv/s2/ERGRz3/+8wJAPvnJT9ZjPvjBDwoRyf/6X//rT+za/zjGhdLg0zThU5/6FB577LH6GjPjsccew1NPPfV1vLKLM37/938fTz/99GIOr127hje96U11Dp966ilcv34d3/Vd31WPeeyxx8DM+PjHP/4nfs1fy7hQAv6Hf/iHyDnj4YcfXrz+8MMP4+mnn/46XdXFGj5Pd5vDp59+Gq95zWsW78cY8dBDD124eb5QAv5gPBj3Oi6UgL/qVa9CCAHPPPPM4vVnnnkGjzzyyNfpqi7W8Hm62xw+8sgjp5z2lBK++tWvXrh5vlACPo4j3vjGN+IjH/lIfa2Ugo985CO4cePG1/HKLs74lm/5FjzyyCOLObx58yY+/vGP1zm8ceMGnnvuOXzqU5+qx/yn//SfUErBm970pj/xa/6axtfby73X8f73v182m438y3/5L+Xzn/+8/MiP/Ihcv35dnn766a/3pX3DjBdeeEE+/elPy6c//WkBIL/wC78gn/70p+V//I//ISIi733ve+X69evyH/7Df5D/9t/+m3z/93+/fMu3fIucnJzUc/y1v/bX5C/9pb8kH//4x+W//tf/Kt/2bd8mP/RDP/T1uqWXPC6cgIuI/ON//I/l9a9/vYzjKN/93d8tv/M7v/P1vqRvqPGf//N/bnwV3c873vEOEVGo8O/9vb8nDz/8sGw2G/me7/ke+cIXvrA4x1e+8hX5oR/6Ibl8+bJcvXpV/tbf+lvywgsvfB3u5msbD9JlH4yX9bhQNviD8WDc63gg4A/Gy3o8EPAH42U9Hgj4g/GyHg8E/MF4WY8HAv5gvKzHAwF/MF7W44GAPxgv6/FAwB+Ml/V4IOAPxst6PBDwB+NlPR4I+IPxsh7/PwssK3VXguqXAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "src_img = cv2.imread(src)\n",
    "target_img = cv2.imread(target)\n",
    "\n",
    "plt.imshow(cv2.cvtColor(src_img, cv2.COLOR_BGR2RGB))\n",
    "plt.show()\n",
    "\n",
    "plt.imshow(cv2.cvtColor(target_img, cv2.COLOR_BGR2RGB))\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "fee90e89-4037-4e4e-a110-c1dd32aa5503",
   "metadata": {},
   "outputs": [],
   "source": [
    "device = 'cuda:0'\n",
    "\n",
    "patches = []\n",
    "\n",
    "# source image\n",
    "patch_src = cv2.resize(src_img, tuple((100,300)), interpolation=cv2.INTER_LINEAR)\n",
    "# target image\n",
    "patch_target = cv2.resize(target_img, tuple((100,300)), interpolation=cv2.INTER_LINEAR)\n",
    "\n",
    "patch_src = torch.as_tensor(patch_src.astype(\"float32\").transpose(2, 0, 1))\n",
    "patch_src = patch_src.to(device=device).half()\n",
    "patches.append(patch_src)\n",
    "\n",
    "patch_target = torch.as_tensor(patch_target.astype(\"float32\").transpose(2, 0, 1))\n",
    "patch_target = patch_target.to(device=device).half()\n",
    "patches.append(patch_target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "2831910e-5ca0-4f9f-ac1a-cc4788934563",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(patches)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "61c2dfb5-3663-4d67-b958-a4f98ac4c9ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "# self.batch_size = batch_size\n",
    "\n",
    "def setup_cfg(config_file, opts):\n",
    "    # load config from file and command-line arguments\n",
    "    cfg = get_cfg()\n",
    "    cfg.merge_from_file(config_file)\n",
    "    cfg.merge_from_list(opts)\n",
    "    cfg.MODEL.BACKBONE.PRETRAIN = False\n",
    "\n",
    "    cfg.freeze()\n",
    "\n",
    "    return cfg\n",
    "\n",
    "config_file = '/data/cvprw/AIC23/BoT-SORT/logs/AIC23/sbs_S50/config.yaml'\n",
    "weights_path = '/data/cvprw/AIC23/BoT-SORT/logs/AIC23/sbs_S50/model_0058.pth'\n",
    "\n",
    "cfg = setup_cfg(config_file, ['MODEL.WEIGHTS', weights_path])\n",
    "\n",
    "model = build_model(cfg)\n",
    "model.eval()\n",
    "\n",
    "Checkpointer(model).load(weights_path)\n",
    "\n",
    "model = model.eval().to(device='cuda:0').half()\n",
    "\n",
    "# self.pH, self.pW = self.cfg.INPUT.SIZE_TEST"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "0211ce4b-1cd9-4276-87b9-2f2f6ed309ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "batch_patches= []\n",
    "\n",
    "if len(patches):\n",
    "    patches = torch.stack(patches, dim=0)\n",
    "    batch_patches.append(patches)\n",
    "    \n",
    "features = np.zeros((0, 2048))\n",
    "\n",
    "def postprocess(features):\n",
    "    # Normalize feature to compute cosine distance\n",
    "    features = F.normalize(features)\n",
    "    features = features.cpu().data.numpy()\n",
    "    return features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "0f48de7a-736e-44e3-8b7d-4fa01c574191",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(batch_patches)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "bcd90119-2bf3-447c-96be-68df093fd22f",
   "metadata": {},
   "outputs": [],
   "source": [
    "for patches in batch_patches:\n",
    "\n",
    "    # Run model\n",
    "    patches_ = torch.clone(patches)\n",
    "    pred = model(patches)\n",
    "    pred[torch.isinf(pred)] = 1.0\n",
    "\n",
    "    feat = postprocess(pred)\n",
    "\n",
    "    nans = np.isnan(np.sum(feat, axis=1))\n",
    "    if np.isnan(feat).any():\n",
    "        for n in range(np.size(nans)):\n",
    "            if nans[n]:\n",
    "                # patch_np = patches[n, ...].squeeze().transpose(1, 2, 0).cpu().numpy()\n",
    "                patch_np = patches_[n, ...]\n",
    "                patch_np_ = torch.unsqueeze(patch_np, 0)\n",
    "                pred_ = model(patch_np_)\n",
    "\n",
    "                patch_np = torch.squeeze(patch_np).cpu()\n",
    "                patch_np = torch.permute(patch_np, (1, 2, 0)).int()\n",
    "                patch_np = patch_np.numpy()\n",
    "                \n",
    "                plt.imshow(patch_np)\n",
    "                plt.show()\n",
    "\n",
    "    features = np.vstack((features, feat))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "07850db8-f5a0-4ce5-9a0f-39d67d94185a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import scipy\n",
    "import lap\n",
    "from scipy.spatial.distance import cdist\n",
    "\n",
    "def embedding_distance(tracks, detections, metric='cosine'):\n",
    "    \"\"\"\n",
    "    :param tracks: list[STrack]\n",
    "    :param detections: list[BaseTrack]\n",
    "    :param metric:\n",
    "    :return: cost_matrix np.ndarray\n",
    "    \"\"\"\n",
    "\n",
    "    cost_matrix = np.zeros((len(tracks), len(detections)), dtype=np.float)\n",
    "    if cost_matrix.size == 0:\n",
    "        return cost_matrix\n",
    "\n",
    "    det_features = np.asarray([tracks], dtype=np.float)\n",
    "    track_features = np.asarray([detections], dtype=np.float)\n",
    "\n",
    "    cost_matrix = np.maximum(0.0, cdist(track_features, det_features, metric))  # / 2.0  # Nomalized features\n",
    "    return cost_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "22720283-5a9d-4a56-832b-c154a7ee10af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2, 2048)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "7afa7804-778a-492d-9e07-e1635bdf8465",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.     , 0.     , 0.02742, ..., 0.     , 0.     , 0.     ],\n",
       "       [0.     , 0.     , 0.0333 , ..., 0.     , 0.     , 0.     ]],\n",
       "      dtype=float16)"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "72dc31e0-f950-4a70-a3ff-7cb15b89892f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_1992931/649123940.py:14: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  cost_matrix = np.zeros((len(tracks), len(detections)), dtype=np.float)\n",
      "/tmp/ipykernel_1992931/649123940.py:18: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  det_features = np.asarray([tracks], dtype=np.float)\n",
      "/tmp/ipykernel_1992931/649123940.py:19: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  track_features = np.asarray([detections], dtype=np.float)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[0.02225382]])"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "\n",
    "embedding_distance(features[0],features[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "6c4dcde0-decd-4cbf-865e-3e7656c68bc0",
   "metadata": {},
   "outputs": [],
   "source": [
    "np_mean = np.mean(features, axis=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ced323aa-79c7-4d8b-8b94-70e0db8d4c10",
   "metadata": {},
   "source": [
    "# Research about feature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f72b315f-21af-4542-96bb-40b601386e27",
   "metadata": {},
   "outputs": [],
   "source": [
    "avg_feat = 0.5*features[0] + 0.5*features[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "5c848c70-b2c0-4a1b-bde8-541af38e9232",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_1992931/649123940.py:14: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  cost_matrix = np.zeros((len(tracks), len(detections)), dtype=np.float)\n",
      "/tmp/ipykernel_1992931/649123940.py:18: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  det_features = np.asarray([tracks], dtype=np.float)\n",
      "/tmp/ipykernel_1992931/649123940.py:19: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  track_features = np.asarray([detections], dtype=np.float)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[0.]])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "embedding_distance(np_mean,avg_feat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "55451fa4-cd60-441c-b198-fef3ed691148",
   "metadata": {},
   "outputs": [],
   "source": [
    "temp=[1,2,3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "65cf8793-a003-4d4d-a9f6-27e98b19ab54",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2, 3]])"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.array([temp])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b90d4086-eeba-44d0-a40a-e056a77bf9d9",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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