Test_hdf5_read.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import h5py\n",
    "import time\n",
    "\n",
    "plt.rcParams.update({'font.size': 18})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# h5_file = \"20230501-210315_fftw.h5\"\n",
    "# h5_file = \"20230501-212721_fftw.h5\"\n",
    "# h5_file = \"test_file.h5\"\n",
    "# h5_file = \"20230502-115220_fftw.h5\"\n",
    "h5_file = \"20230502-115649_fftw.h5\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reading 20230502-115649_fftw.h5\n",
      "1683028619.8161085\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fbadc8e1710>]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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zzVacy8gp7kMiIiIXthy7jOd/2Yqz6Wyjich9Ym+fXX8iClQMpFLQWbbvHM5n5Mr+xozU0DZ/1xm0fWcRVh+84O9DoWKSp5jaHxUuv1z9vulEcR4OEREZcOv/rcbMLSfx4m/b/H0oREREREWCgVQKOkO/3eD0N4mB1JD2yA+bcCEzD0OmrvP3oVAxUU7tj1QEUpNi5OU9iIgocBw+n+XvQyCiICTPQmVKKhEFJgZSKSRwan8hToOhUJBvlp/IUWHyy1Xp2MjiPBwiIiIiKka8pyGiQMVAKoUECYykGpWRk4/LWXn+PgwiXcqp/cqMVCahExEFLtY1JyJPWIUsVLYiRBSoGEilkMCgSiFXNy9NRy9Ay7cWIiu3oJiOiAJFsNzYWq1W7DubIfubMpD6yaIDuJpnLs7DIiIig4LjakNEgSxIuq1EVAIxkEoh4aOF+7Ht+BV/H0bAEwNprF/mvunrjuKLpQf9fRgeefG3bej98XLk5HsWfFy0+yzu+HINjl/K9vGROTt+6arT38rGR8n+e++ZDHyyeH+RHwsRERERFb9gSQAgopKHgVQKGTd/scrwc3PyzYYuznkFFmw6egkFioVvApneuxLfcm6BGSNm7sC9X6+DxaK9lVnnsZLm9T934oP5+3D0YvAFoX/fdAIHz2Vi6d5zHm3/0Pcbse7IJbw6c7uPj8xZVp48W7p+hQSUjnOuibr12BXV7c0WKzYdveRx0Li45ZstyM5jhjgRhQ7GP4jIE2w7iCgYMJBKJc7BcxloMHIeXvnDdUDo1T+2Y+CkNRg/d28xHFnRE/smeQUW/Lz+GFYcuICtJ66oPn/SskNoPmYB9p5JL5bjC2Ri4D0ziMsieFsG41JWvm8OREeuoj7qF3e3VD1urc725P8OYeCkNXhi+uYiODrf6/7BMjQaNZ/lNogoZFg5uZ+IvMRWhIgCFQOpFNQ61irj9jaTlh0GAPy68YTL587cchIAMHXlEbdfJxBZhMhTrpBlq5WR+t68vcjMLcDov3cV+bEFOjEzN5hHyyUvI6nFUY544pIDjn/vfasf6pRPgEnluM0aX8Q3136viz3Mvi1uJ6/YShnsOsUBi2BxJTvP8b1R8Vq69xz+3OL6+k3+FczXSSLyH7HpYDtCRIEq3N8HQOSO2dtPyf47KoJjAe4QA6niquj/bDuFNimlNbcz2pGxWq0ouBZwDDdJXgftAkmoVDhQC0i6tX0x/OQW7SkMgEZHhAFQD+BaQqyHHUI/l5DXYuxCAMDGN3o51e+lojXsuw0AgDY1SqNa6Vg/Hw1pCa3WmYj8gZntRBSoGIWioPLkT1tk/x0Z5v4pHCwXZavVigNnM9yuUZqRoz09WF4jtTCQOm3NUbePT82TP21B3dfnou7rc/Hkz1tcbxBExKBdMMfvTBrBustZeZi747QswK5GKpacVGdqAWCtn0YQfz0UZPaezvD3IXjMbLEWy+JxReVSVp6/D4GIqMjorV8QymRrWJTMj4CIggADqRTUoq5lq7lF5aJ8Nc+Mcxk53h+QD3298gh6f7wcL//u/uI+WgtpiX8uioV4/t1xuvDf20/rPNN3imtFT9nU/iDr2YmfkVZG6p1frcVj0zfjc2FavRp/ZU2qvW6o3WQwITX4BHNW9NM/b0HX95fir60n/X0ohnEF5+DBr4rIc39uOYHmYxdg7eGL/j4Uv2IzQkSBioFUCmoXMnLd3kbtotxp/GK0e2cxTqcFTs27zxbbAlp/bHa/FpxWFqusRqobgdR1Ry65fQzF4aMF+9Bh3GKcTS/6ILhWPc5gIJ4PWoHQfWdtmXV/bzul/gQv/Lj2KO6eutbQIl1zdqgH4NXKRGgFsTwJtsxYf8wvdRfFY+XU/uATyIHUQ+cz8fHC/UjPUV8gzj7wNWnZoeI8LK+IHzd/L0QUqp77ZRsycgrw0LSN/j4UvwrgSywRlXAMpFJQW+PBSK1akOVytu1Gc93hwAwYii5l5WHBrjMoMGtPwS7QCKSKf3W3ZICeQ+cz/RKE+mzJQZxNz8XEJQeL/LWswscdLB27vAIL/tp6EqfTCgPNrurWugoMeVL39o1ZO7Hq4EXHIlBarFYrHp++2fB+fXUOX8jMxaszd+C5X7YhX+d35Y0le88i5dV/8dJv22S/3RBLqvWJnHwz0q6qB/8CTSC3BX0+Xo5PFx/AmL93+/tQfEYc0PJXmREyKoB/HERBoiRm4ZfAt0xEQYiLTREJAmnKtlbA6vZJq3H4QhZe6dcAj3WvrfocrWCY+HezD99qzw//893OPFAc2aLiawTOWaLvy/8O4cOF+5EQXdjUa9VItbO4iCN6E7rIztPPgn773z1u7S/PbMG6wxfRonopRIUXlvlw9/vJzi08LrPFCk8qhrjywHe2rJLfNp1AkypJuL9TCgDlb5WBIQBo+/YiZOQWYNxtTREXFY7/Na/s70PSFEjXDCX7QMOWY5d1nxdMiwJamMEdNEJ1kGjujtOwArihaSV/H4oui8WKYd9tQIXEKLx/e3N/Hw4FoHMZOTh+KRuta2gvNutvgXyNJaKSjRmpFNTeHNBI9t9aNRNz8s0+q6f497ZT2HRU/8a0KB2+kAUAmL29cAq2ssadZkaqECQzq0TMLmTmFtvot8Vixbydp3HyivflFMRjzsjJx8FzmV7vU0nMfgzk6byi+bvPAJAvQKZVI9XOVZancnOr1Yrnf9mKN2btcHk8rgIfXysyVlPK6K/Iffh8Fu74ai1e/cP1axs9Ll9mamtZc6gwk14tMGSxWA2VQQhVGdfe+4iZO/D0z1sC+rNwNfAQCIKjtdKXdjUf649cKpbfJ5GWzNwCPDZ9Mx6fvhlZxdQupV7IwpTlh3HVxUCkXVZuAZ74aTM+XrQf/+0/j183ej9b6GJmLv7aehK5Bb6vrU/+0+HdxRg4aQ02pAbubLwg6W4TUQnEQCoFDbVAaIdaZWT/ff2Hy5wWUUq7mo9Go+bh1v9bBcC7m8rtJ67g6Z+3YOCk1R7vIz0nH8v2ndOdmm+E/YbSYrHimRlb5Y9ppJvKMlIVL7903zm0eXsRXvhtm1fHZdRf207i0R83o/P4JV6vviwGM657fyl6ffQfdpxI8/II5ayyzy44enYFKueBq2Cmq+xe5ean0nIwc8tJ/Lj2mMubLK1sWIvFisPnnYPfbw5orLs/uz+3yAcS3O14i5+J1iBEUZHVfLz2/0O/24Amb84P6hXVfSmvILCildYgzE63KzBbsHTfOc26qYHiap4ZI2buwH/7zwMAbp64EoO/XIOZm4tmYaziPMfSsgP7s/eVUJySLAZP1a6vRaHHh8vwzpw9mLBgn6Hnf/nfIfy7/TQ+F0oeeZtIMPjLNXhmxlZ8vFB/MUoKLvbTYuWBC/49EB2h14oQUahgIJWChjLA0y6lNMIVkZnUi9lOWW0rD1yAxQpsuxZY86Zv74tMx3unrsPQbzdg2pqjyM4rwDv/7sbma1MvM3MLsPtUutMNyK5TaU7BO3vARy3wZaRGqjKr0r64ldaNqq9XSF99sDAr75NF+73al/he7PVul+w959U+lcxBGEj1JHPW1fesnAYsBu1dfS72bNi/t53ClOWHHX//YME+XK9SHiLMVR0CHxHfU3F8t+JHKH5Ht/7famTlFmD5teCRMkBM2pbtO4cXft2GjGsBwm9XHXEE4XxN/FkFQ7BIPMZJyw5h2LcbcM/UdY6/FdWvbML8fRg5a6fjv1cfvICvlh8y9Jnd8dUa/Lz+GO7/Zj0A27UdKJrF8H5Yk4p6b8zFkr1nfb5vpQnz96H52AWai+pR0UrPycesLSc9znIXa2hLxXQHZf+5GM0aPKeyCKu3A4SHzttmQv27w/e/P/K/QLuOBds1ligYnE67yt+TjzGQSkFDGeCYdE8rhIc5n8InLutncXnThIgZCBczcw0vTHM5Kw+v/bkDW45ddgR05+ywZQxMWXEEt/2fLcP1ps9W4IbPVuC//edlwZYbP1uJd+fswYXMwg6yPeClFvi5mCWfoj93x2n8ve2ULGijzKZwdTOd7+M5rOL7y8wxflOz6qDzyLnaPcK8XWec/rbp6CW89Ns2XMx0vtFwRfyclZ95Tr4ZW49fUQ1C5uSbnbKkfcFiseK9eXsxb6f2DbnaueHqGuoq+KqMbYrfY36BFXkFFjw0bYPTgIbtubYnP/3zFrwzZw92n0oHoL1qeHEFUq2y34XvM9N+3XBc8zHlV/TrxsLnFtf7F+08mYYJ8/cZnkYaKIZ+uwF/bD6B/1t2COuPXMKYf3Y7gnC+Jv5GvI27rzhwHm/+tbNI2gg1M68F57f7OGNfyWKxYuLSg/hh7VEcuxYEHTJ1Hd6dsxdL9+kPch06n6l5fEVxEzDyr10AgCd/2uLzfStNXGrLEnzz711F/lpF4a+tJzFj/TFDzw3E27Unf9qCZ3/Zipd/92zmTb7Qb7IWc6K8N1eDAh/134KhlEmoUfsdnc/I9WlfxWy1BkzZhg2plzBH6NcGYjtSFObvOoMHvttg+P6EAbHAd+JyNp74aTO2Hr8i+/vxS9kYOGk1Fqjcp6rJN1u8Tmb6ZuURdBy3BO/PV5/ZUBT3PiUBA6kUNJQBnnCTySkj1f53ux0n0vDET8ZXAXclT2hoWr+9CDdPXKX6PLPFis8XH8Daw7asyzf+2omf1h3Drf9XWBKganIMDpzNkG1nz7r5d7tzcOzrlUdkWXz2DEm1a2m/T1bg3Tm2hXtyC8x4bPpmPP3zFtkUemWNVDEr741ZO5yCP8rA67TVqRgyZa1P6oS5s9jJ3dcyqWTTa1U+hD2n053+NnDSGvy26YRHN7EWWX1Z+es9/MMm3PLFKkxbkwrAdpE8k5aDfLMFLccuRLt3Fhm+CBp93pK95zBp2SE8+qPt/E7LzsecHadlnWG1QKqrQKnZYsX5jFzc+/U6zFXJmtJbKTvPbMHf205h0Z5zeGu280rhyp/rBRcdRncCiXvPFH7fRjuY/7fsIG74dAWuCFNti2Jq/8t/bJf9t1ZGKiD/ztTat6J20+crMXHpQXyy2LsscSPSsvPxf8sOoueHy/D8r1s1n+fqnBWnqZ9Lz8XJK0VbEkE8Rby9mbn36/WYtuYovlnlPPDgK/643RIz+PMUHfTUC+rfz8XMXAyZshafLDI2fdibxab2nE53LLRiFyy1r/3FfK2M0Kszd+Bceo7L52t9nFar1W83bfZs/zk7jN3AKonHXRyLXMoYPOHVDstX17WTV67i4LkM108sgU6nXcUTP20u8nqju0+lo+07izD4yzU+2+cXSw+h2egFSLvqn7Ijqw5ecKz7MGjyGoyfu9fxWGZOgdO9kp4zaTkBExR2xyM/bMKSvefw/jzXJTwmLjmAlm8tdOtzKamOXcx2ea9RVJ76eQv+3X4at3whjxW88Ns2bDp6GQ//sMnlPnLyzejw7mLc6kVJQQAYe+2eTC1xZcb6Y2g6egFWHwrcEh+BioFUChrKjqDJBESoZKSGhxV2NtU6GsobX3duhJWd/90qwTrANiX3w4X7cedXawEAW49dcXpObGSYZgBRa0GgL4VAqj2wOV9jRGvKiiOy5wFwTHsFgHzF5ym+4o9rjzkFfwrMVqw+eMGRRfjm37uw+tBFfL/mqOrrF+7rKF7/c4dTgFAMyHkSL3pHWOHdyA3wR0J9MU9KNMjry1px/FK2I1hrvzmbtjoVmbkF6Pr+UnQYtxhn03NwNd+M9JwCZBvIOFt18AKaj1ngtHgYAKw/cgk/rj3qOF+V0/fu/3Y9Hp++Ge/N3VeYrazyudi/hrSr+bLgo/j4B/P3YsWBC3hsusoghARZ9pz4u8w3W3Qz65RB2Lk62bSAe4HUfp+sgNVqCwK7Ohv+2noSd09di/fn7cPu0+n4ShygcPOGM6/Agge+24Av/7N1TtKy8zFv52nDHXllVpPYJtgz7hfvOYuHpm0wFLzwFfvv3FO5BWasPnhBt/bkK39sx/vz9uHQ+SxHSRG19lhvcCGvwILPhMBbZLipyBenEFcRtlhtx7f28EWk5+Tj143HHQNo7jh52ftF9wBbgPD9eXtlbb3InaZ29aELqoN6RkxfW3hdUF7OtH5jHy7cj9WHLuIfnen78iC2R4eGQ+cz0f/TFWj3zmLsPFmY+Wp0f3kFlhJZv1icgWNkanza1XwM/36j02/6/m83oMt7S4stC9uXxIxUbwPvOflmjJu7BxuFwFtegQU7T6bBarXCarVi16nC89Pob1dtlXOtuvmeGDJlnesnKVgsVsMzuILVy79vx7/bT2PQZNcBzpx8s+E61crv/fdNtsXDNqvcV4jm7zqDfp8sx36DwbbcAousHM6h85m4/sNlmLnZ+8XKXLl76jo8+dMW1RmFT/28Bb0/Xu4ogaZn35kMdBi3GAM+X1kUh2nYwXOZ+GzxAdXrcMa1fsKVbPW1IYwE/SYs2I8r2fn4SWV2QE6+Gcv3nw/KYLIrV/Pcm+F3PiMX132wFG3eXuTR63mbBXrk2uLQSvZZOloycwsciU9bj1/Bxaw8bFNktXrrfEYuHpq2AUv3nsOrM3fgar4ZjxoI7JIcA6kUNJQNWphJkgVN7cQsrquKBvfmL1ZhtuLG0J0bs3yDnVHlwjlqNx1hJkkWQDydVngjbTLwy7RYrTh55Sqe/WWroWMC5EFVZVB441H9TsryA+cxZOo63PDZCtnfs/P0b6jemLUT09cdcwouiDfXrlaSV7JYrJgqTB03cq37TFh4wZP7H2WN1K7vL0X/T1fgvBDQNFutOCN8jzn5Qj01A6/xwHcbkJFb4LR4GGAbFHhj1k6sufY5iueO1Wp1TB35ZtUR1HptDvacTledhmexWnHwXCYe/n4j+n2ywpEFYJeZW6C7yu/6I5fQYOQ8TF1hCz6Kmc0FZisiVH6Tdsq46M/rtae8256vvq9a5eJU/z702w1o+84iZLgoFfHMjK1YJdToFbMw3M3c+WfbKSzZew7jrmVQDP9hIx79cbMse1yPMtgttnP2z/LBaRuxaM85fO1h1uKM9cfQ/9MVsjbGFb3fiJHBp9f/3IkhU9dhzD/a2d/L9jtP8Vb7+PW+kuveXyprCzJzC/D8r87Tdn1V+9ZisWKGcN5aYcXvm07gzq/WotnoBXj59+2OATR3aDWB09cdxZ9bjN/I9v90Bf5v2SHH+QgoFjRz0RAt3nPWUYd0yJR1eOKnzZpBw4uZ2tNLR/9TmJGufEmtTD6tRZjEWQ++mM64RQhAiMdidM/3fr0OXd9finUeBMy1bEy9hMGT18gCZ4FGbBuNXrMX7j7rNHC5fP95nEnPcVzL/GXvGXk9+h0n0jD6712aAQ5Anl3tKpCaV2DBhPn7ZIFS0Zf/HcaX/x3G7ZPXOH5jT/60GTd9vhLfrkrFgt1nceNnhQEhSTGIqeZceg5yVQavfDnTQq0GqyjfbMGe0/LP9rZJq9Hh3cVBGTw36qiL4Iio/buL0Wz0Ao9mdKkFytU88sMm7D2TgSfdmJUXJvyuR/yxA4fPZ6leT31JPE8uZGr/9hbudl3D2j4It/+s9+tZeKPPx//ho4X78e6cvU6PvfrHDrz8+3Y84mHQSvy8ysZHOT3+4m/bcN836zH2H+dZYd64lJWHbh8sxYcGF73ztbwCCxqOmocWYxcYDnBuMRB81/L27N1o/fZCnPVRAoMYPHX1u2/y5ny0emshMnLyvSrpYh+QU/ab8gosGDdnDxbtOYdh320Qnu/Fi5VQDKRSwFu4+yx+XHvU6UbYJEnqU/tVslTt1EZ03LnBVqsT2u2Dpdh0LQhpH3FX7lGt0QyTJFmGnnjRkyS9CdQ2BRYrzqS5buC1FkkyGhS2e+pn9fpxeg2v2GnOUYyOygKpbrZEyuxOdzNDjEzJS8/Jl31eFkXmpd2xS1nCcwAxbCC+fyOvaeTe9MS1zDWTcO6r3TiNm7tXtS7aiUvZ6PXRf1h3xHZz99FCz6Zwv/3vHuTkm2XnUZ7Z4liUAnCuZ/vT+mNOHaD35jl3NO20pra3Symt+ndPFxeSfU9uFoFTnovrr32uM3UWihJ/3cpzVzwWZUau61ZB3aszd2DP6XS8dy24ZmSFcq2Ms6zcAvT88D+MmLlDd3t71sz0ddr1FJUftdVqVf0t6/12zig6uWrZjMcuZqPVWwsxQaM2lDvG/LNLVhrEYgX+2ub9omDK73bfmQyM/Wc3Xv9zJ577ZZvbU6F3KGqM2jvSemVUrFYrHpy2EU//vAWpQibFvyolPg6czUDrtxfh/m9d16FVBt20rrkmjd/7638Wnmvilmq/nUnLDrmceix2EcRj0QrSvvPvbtzyxSpHho+97fxR59x21+2T12B96iWf1/XdfSpd9l16QzwH3Rn71OpiuQrGjp+7F2+rlIjRY7Va8evG4/hx7VGXg7z9PlmBb1elOv57wMSV+G51KkbrlP4R205Xl/RvVx3BxKUHcbtGhqJYfqjr+0txLiMHC64Fi75eeQR/Khb+3HLsChqMnIdvVOqPA0DqhSy0e3cx/trq3AYW5wKZz8zYgv6frsCPQla6Patqx8miGyi4kJmLPzadcArWZuYW4OhF/d/AP9tO4aFpGwxniXrDarU6Bm+NZot6QyxddDkrD6P+2ul0fbAT28Ysjd9P6oUs3cEGd4mnpl6LUPyFjozLyTfL2gb7e9qskqBiv57aryPuMrsY0LInC+n1vTzx/ZpUHL2Yjc+FpBRfSruar5tFa7/fzcm3ON1ParmiMThrxNSVR3A5O182Y81d4rdz3QdLHf/OMDiAohyENBJAPp12FZez8mC2WHHLF6tw79frcZuiLMDk/w6pDogVe7maEMBAKgW84d9vxBuzdjqtJm+SJNWgaYSb88TFm7Hv1xzVbajyC5wfO3oxG0O/WY+/t51C41HzMXfHaacOtlo2QJjJJAsgzt1ZOEXfyFvIyi3AQAM1U8T3UxQrz2t1tgDIsjWdb+DFqf3yVdNdXSyUgenZ20/DbLHq1lkUuZrafy49B81GL8CgyYWfr3hI4kVQrMmrvLEXM6KNLEwRbiCiHHntnBc/M7WgV3S4CWqxF3uAy87VebDl2GWkvPqv6mPj5+6V3QyOn7tX1um4e6p8CuDptBxMV0xF0lpoCtCe2u/uIIArWqUKRBk5+Zi5+YTzjZZGx6NUTITL111x4LxT5qp4zoRJkuy3EBMR5nKferLzzFhz6CLqj5zryCjWsvX4FdmiB1ey87Bo91n8sPYoDl/Iws+K7/HYxWx8u+qIZsaRkXq9Fqv6oMjFzFz0/3SF4Sxfpc+WHEDa1XzHQj+e2HEiDYMnr8E0RSkTq9Uqy272lPJU7/vJclndVG8yyo5dykan8Utk09hF9qZE/I7EgMf4uXudpuXapxQq3/v2E1fQ4d3FTvuXL+im/l60Bk5mCYEh8fRQfiafLzmA9+btRa+Plqvux05sO8XzTatdmbLiCLYev+KUEVUUC7LpZWTpOZueg29WHpG1Txczc3HDZyvQfcIynxyb+Hl7OqgjUu4ht8CMzccuw2yx4lxGDib/dwhTVx6RTXW9lJWnO8V39vbTePn37Xhj1k5DGV9fLne+/uw9ox3cEoMlrq6drvoZyt+U+PuUJO0B5rGzd+ONWTuwZK/8fFy0Rztjz1eLTRlhrz9rnykg/vbVAj/vztmDlFf/xfs6g6pGDJmyFi/8tk1WXxMArp+wDN0+WKYbtHzq5y1YtOccvhCCRFm5Bfh3+2mfrAMgEmcqqZUn80a+2YJ/t5+Wz5QSztN35uzB92uOYsBE9anvrgY3TlzORvcJy9Bi7ELfHDDkvwO9X5S7NbGzcguKdEGm45eysXTvOeQVWNBi7AJ0Gr/YuXQcrPh21RG8/Ps2r6eJ28lnURT+e/n+8xgxc7vaJj4RpvgClMkmnrqaZ8bNX6xC8zEL0OW9pZrPE9swo9efSz4I+HtzCik3VTsf+32yXNaWi8/5eNEBWc34O75ao3tOX8nOQ8dxS9DyrYU4ciET206kYeXBC7JZOIDtWqE2cG2xWpGZW4Anf9qsWjbwTFoO/txyggtTCRhIpYAmNhjvzNkjeyzMpJ6RGuZGemPn8Utk08u2Hr+CP7echNVqVS3irdUZzcgtwNM/b0Ge2aJeV1LFvztO4fB59VFyI9Pmsg3exIkXOvFG6Ie1R9We7jYxo0NJnDK9KfUyrnt/Kf7Zdgq5BWbZ52t/uyNm7kDt1+bglv9bhdWHLuD2SauxT+WmRm3q9s6TaU7Bdk/Zs0LEGlTi55guvC9lEFgk3mibrVZsOnoJ7d5Z5MiaGzlrJ66fsAz7zmRg35kMzSxAcXp0ZLjt/BZHbtU6+gnREapBqW1OmWqqL+kgLpCm9N3qVNm0L7UbOeVFf+SsnfovKND6GUSGu38TfyU7D1NXHFatMyoGL7WCPM//ug3P/7oNT2tkZivpBr6uHf69X6+X1T0G5DdZBRarLAs+zGQLvv6x6QT2n83AoMmrsfqg8eLwJknCUz9vgdVqyyh2Zdm+wgzfu6euw0Pfb3S6SbXr/fF/GPPPbnyskuGc8uq/aP32QqcMeuXo96t/bFf9bX+x9CD2nE53ugYYFRXuWVcnIyffERi+e+parFeZousqG37b8Sv4bPEBl1nArhbc6/fJcq/qcp5Oy8HQb9fr3syJ56wyi7HRqHmOkjX7z2bIaqcWmC3YmHrJUS9YmSV8JTsf3T5Y5vhv5fd+8FwmnvtlK1JdZI0B8vbktmttk9VqxYz1x/DFUnlQ7LtVRzBj/TF8smg/Bk5a7WiPxQEa5f2A3kIxyq/am2nKaVfzseLAedUbUU+m9981ZS3GzrZlMNsd91HdXbuVBwrbGncyV7QGhpX9nOd/3Ybb/m81ar82B+3eKQzGi+dstw+W4rb/W42UV/9VDVSKx7jigOu2URkccCXPXPide1sjVbkIm9hGSJJ+sODHtcfwwHcbZX/Tqykunmen066i6/tLMPk/7UFMX7AHCcXXPnA2A1NXHEa+2QKr1Yr0nMKMr//TGVQ1wj6dW5lBb8+8MjI1XBzIGDFzB574aTNe/M23U9vFTOlID65NeqfdV8sP44mfNssWtxF/q66C++I5pPY6yoCML4jnh15gTvl7WHngAkbM3KGZed74zfl46XftwGJGTr7LrHU9Xd9fimHfbcD0dUeRk2/BhUxbFqDyujDmn934deMJrHSjr6Ym32zBQ9M24sv/CvuM4nd03zfrXZbL8kZMZOFA/vFL2Wg2egHu8MGCZ9PXHXXMFrUPAFitVvy19aSsHyI7Twy2vUbvk/W4286vO3xRs+yP2q72nsmQteXiT2D5/vOyGMWG1MuOWYlqjK7/EWaSoFaFzWKxDWzN3n5adSBywMSVeO6XbfjKRSJGScJAKgW0L3QyiEyS+mhuRLiErcevoPP4JS73f/LKVQz7doPsb7tPp2PikoPo/bE8q8VqtTp1fLUYqWF0Nj1XM/PBl1NYxEZZK0hUVH7ZUHhRn7j0II5dysZTP2/B8O83yWqy2m+o7Flu20+kYciUddh49DL6fuKcXaQ2/UPtJmLm5hN49IdNbneWSsUWZhPaL97ixVS84RdvrM5l5MpG8cSLuNlixSM/bMK5jFxHmQR7dt9Nn69QfZ+A7bwTg9X/bj+Nyf8dkk37UwvSJESHB8SooTcj1spOx8ibGuG2VlXw5PV13dpPVm4B2r6zCG//uwcDJzsHhsXgpdbx2m/CxOCikjelM+zkQV2LbD8mk4R7v16PF37bhj4fL8eG1MsYMtV54Y+reWa8MWuHLKhg297YQgZ24jvYpbL4lJhBZC8voVX38Ep2Pr5V1HhVfr+/bTqBMSp1va7mq5/HRrNNPMnkzcotQNPRC9DuHdsiBekadXdd1ZK9+YtV+GjhfkxdeRgfLdyPTxapl9JwFc9JvZiNN64NQuQVWBznWnZeAR74bgNmKDKE1abQXsjMw2GVad5qGanKTI58sxWfLbZlRvT5eLlsWtj78/fh9slr8OrM7aoZlUOmrMUxIQhstlhw+Hymo316/tet+HPLSUM36cqPO99sQY8Jy/CqotTEuYwcjP5nN16duQOfLDqATUcvo+GoeVi695wseKYMLH8wf5/meaWs/3w134xxc/bgzb92ujwXC8wWWW25vAIL7v16PWZscJ5+KdbFNMo+KLtYGMwSb+j1js96rW62/fsfN2cPbv5ilVNAQKzHfjXPjBUHzhsKJovntvh5K895IwubiQMtb/4tH5QrMFvwy0Z5IOG9eXt1ByBOpeWolMFQf+7iPWdlN7xazyswW/D27N2YJ/QF0nPycceXa/DDmlQAtveqDPSKJXokSG53BLUyuoHCQRKzxYpPFh7A8UtXNQfFlL5SydoFXLe/9tkz4jXs1Zk78Pa/ezBtdSpe+n07mo1eYOgY7DYfu4z+n67AmkPaswC0BouMlLQR++72WtHibDE9rtrwBbvOYNi362UDHMpFTPPNtrZ94pLCLDS9T9liseKLpQcdgRt7//PklcLXyBfed1xU4bVQ7fsTs9TUXtdX9SJF4n2J3jml/Hzv+Xodfl5/TDarSXnvpZyBZZeTb0bT0QvQaNR8rzNFxfUfzFYr3hLKkYhvR6t2v9F+zL/bT2PRnrNuleO6nJXns6zcaKEfZV8Qd+PRy3ho2gbHb8WI8xm5GDdnDx6athFX88yyhBu7v7edwjMztspmU4jBU1fBTfs9ny/euzv7uJpnxh1frcUdX63F1TyzUxP+gYH6skbvmX7deByvKRZyNnoPsuXYFag9bLFaddtWe6B7nsE2sSQI9/cBEOmZsED7giFJ6iMqkWEmPPbjJpw2UD9Udb+wrR6sNPx724IvRogjhh4dgyS5zFAyIvVClmwU0Verphq9sGhlvS5X1LJ0d7EptQ5xdIRzUN2eLdl0VZLTY1arFTM3n0Sp2Aj0bFgBgG1Rni+WHcSDnWs6nnclOw9l4qNkF6gf1xbe/Crrk34g1GFULpKidWFT+/vOk2loUiXJ6aL6747TThkXaqOzUeEmQ4twHbuUjeHfb3T9RA/lGLh5MerBLjVdP0nhclYehn63wfEZH7/kPJorBi+/WnEYA5pVRr8mFTX3mZlbgPgoW6BaDLCJ+wk3Sfh72ylUSop22l6C9s2eOGW+wGKV3QS5+p38s+0U5u48jWqlY/Hj2mP4ce0xpI6/sfB1Fds/O2MLPrmzpe4+9fzfskN4sU99WSaj1ar93oxk3/y3z7mNVWtv7PU8XVl18AIuG6yTlW+2INxka3vt00C1AqiFx6H92KeLC2+G359X2C4MaF4ZtcvFy55rZKpaek4+0q7mo83bC9GkShL+fLwzRs7ahSV7z2HJ3nO4s111l/vQI36PajMNrIBqSQh7RpnWjIAsRVbIrC2nnLJHjVLeQE1YsA+pKou8aN20DvtuA768t7Xjv3MV18T1Ry5h+rpjWHfkEtqmJKNT7TKOx7Ycv4K+jQvbhZx8syOjvHHlJDStmoSGlRJVX/fn9cdUa8vN23kGd7evobqNKxaLVbOuLAA8LLTrZotVdXHOg+cy0euj/wAAD3SuiVEDGjne07/bT2Ng66qq+x75105sOnoZt7Wsgo/uaGHoeGdtOSmrmy02RwtUphHa5Wu0J8qB4e9Wpzo9Z9KyQ/h3+2ksf7mH5v4HTFyJTW/00nzcTtneaN3MT1tzVLYAHmBLClh35BLWHbmEyqVi8ITKAkBiXyI7z+z2Ks16s7HMFisuZOaiz8fLHatB68nJN+PUlasIN5lUF8y5kp2H/01chf5NK2JE/4aq+7C392prC2w/kaYZfDmbnoPl+8/jfy0qIyq8sP86e/spPPmTbRD6rilrZdc2kVa22uELWej3yXIM71rLcV7/tvG4PDO3CHMNHr6W4XVeGMwsMFtxJTsP4+bsxS8bj6NKqRi82r+B071Pdl4B3pi1E/2bVJL9/e9tpxx9Tq3PIyvPjPm7zqB7/XKyUiz3fu1cj1kcZFK77hqZyeIu8fzQm8mjdU908lpg+sTlbGS6uF7bifeH+RYLDp3Jwsi/duLFPvXRUWjzjRD76AfPZWrWJrW3FyapMMHl3q/XwWyxYvpD7R3PW7z3nKP/L9Iro6al5VsLcXvrqpgwqLnu8zJzC5B+NR+VS8U4PWa1WiFJkiyQKn5Pi/acw6I95/C/5pVhtljx4m/b0LhyIv7XvDLKJzr3f9teG5wGgB/Wpjp951ar1WlmyO+bTsiuHfk69xVrD1/EnV+tRVxkmOy7tL8PdxlpEnacSMNbs3fjwa6F9yjrUy/JkjQA2/Xodo1rKmBrV1/8zVh5hpevZVtfV7ec435F/CgX7NLPwFfehwO2ttNIKRNflzsJZgykUsgJN0leBQyVHWA7o0FUX3A3sKil+4RlWPlK4Q2E0WnJrvi67JC771dtcSW9Y1KbCnEmPQcvXJuytf/t/ogMNzmymsQVp9NzClAmPkrzpkkvi0rMhDVbrbKMkd0qGX6ii9dudozURlTLNP5y+WHDmXhGprx5ypvpr95OnQRsHUlXxGP8d/tp/Lv9NFLH34h8s0U1673VWwux/+3+eHDaRtkCV+L3ffh8pu7vzUinON9slbVlrjKM1RaEm6OyUJDdrK2n8O5tTREbqd4VePG3bfhk0X7d8yjPbMFviqwPtexVQJ7RoEUtcKl2GpzPyMWSva7bZGWdXi0XM3PRY8Iy9GpUAR8NbiF77M8t6lktgPZNu9VqldW2Eh0+n+UcSBWaQK0FTyxWoPkYWwaXvd35Y7P2sbnLVSaE2WL1yY20mC3lLuXHrTVoqTfYJwYLclXaJ3vmr3Lhsi//OywL0Irn+ct/2G5qHupSE61qJKN/k4qym7bdp9Vnn+j9JpbvP4+JSw7i3duaoE75BNljny8+gCkrDmPm451Rp3zhuSS+bfG3dPMXq/DPk12cAq9iHfBvVh3Bw9fVcvy3Xj/KvsDmzC0nDQdSxYxWQD548LBOPVN7u5emGBBRzkJZqjIIA0CWDa1FzLA2uiq61u9FucgiAJwQBvC0BoDEfo3RmQMLdp1Bn2vBfb2M1HyzBT+sOWooiAoA/5u4EvvPZmJ4V/XBy14fLceFzFx8+d9hjOjfEHkFFszdeRodaxUGLuyBVLX+id4n/L+JK3E2PRdHL2bjxb71HX+3B1Fd0RrIs/+eX/htG85n5uKmZpWcpn6LW9pqOxt6SZfErLujwsBPgcWKsbN3OwahTl65qnr9nLTsEGZuPomZm09iaKcUx9+VMwy0zoBHftiEioqgltpUc/tvykiyRIHZoru475XsPJSKjdR8fNPRy/h3+2nc3aFwAFCvzdF6b2EmCScuZ+vW11QS35/VastuvZSVpxug1yK2A8rZBFaVf5skydG3tWelK3+Xj/ywCatevV72N73BVr1r9++bTrgMpHZ4dzEycwuw8pUeqJoc6/j7xCUHMGHBfjzdsy7qVyi8BmnVB1+69xz+3HISf245ibf/3YN/n+6CxpWdE1ns0q8WOPVrCyxWp9+dsrzG63/uxKv9G8BitSIizITv16RiWOeaqFwqxrFYYFaeWXbfbrFCNfnKle/XHEXDSom4q111WK1WbDp6GbXLxSM5rvDcHvzlGlzNN8vKP2ktHKlVjuvB7zZg75kMl/2j//afly2eJ5aaE++ZPtaY/aTHajWWcJWV6/v68MGKU/spKJWNj3L8e+4zXWWPjf5nt8cLNgQKN9fL0vXHpsIsIW8WLBH5IsAlcvf97j3t3NHUK7ugdrMsXgj0avOtPXwRh85nOqa1Kn2gsxJ4Zq58ar9443fDZys0twMKb/aNlJPQ+j6Kc6VeLfcYDGSpKa7DVwv2Dv12PRqNmofX/tzhqA1pl1dgW9DhP8WIrljXT5mFp6RVD1f03ry9sinaVzWC0h8u2IeXNOq4PS7UbFabOuvqp3zi8lUc0Km7lGe24IIiCKGWgQQUTvV0l2ptMQ/byBOX1YMqv248gfScAszcfBJv/rUTo/4qrEv83C/aNfLSVaalAfrn7uVrN01ih1lsA3t9+J/6hkW0cIb9Bs1VoD4QFnQ1egx9PlYvlQLIy0+oDcrp+cnFSshTVx7B49M3Y+oK+YCs1s2JViD1QmYu7vtmPdanXsK7c/bK2vLcAjM+XLgf6TkFeOzHTYZKuOw6la5a1kGZrd1hXGEb5quvW+vwpqw4jB0n0lxep+wlkO7/Vn5jKl5Pp644rLvo25ELWfhFpYyCnSflP7QOW+39KGeRqFHrp7jy8A+bsPNkGjqOW6w7vdZssWp+zpez8vDunD2yeoT2eqNa+1QGer/87xCembEVXd4vDGZFOQKpzieAcpBCdDbdtm+9xbP0GOk3jJ+7V1ZHtHBbqyPIpqytffxSNr5fk4qcfDN+Xn8M7/y721DAcd3hi44BMEBRO99iwSHF9bVqsnNW4EmNuohOl0GdpARl7Wo1FzJzMfTb9eg+YZnuomsA0PrtRThxORvj5uzBOEX98h/WHkWLsQsdpSzUDJy0Gt+sOoKewvVu+lrt36jWWzNJkltBVCWzxSoLZJ5XWc1cScygN1rGyX6uqM0iUCaTaA2mKn0w39b3E88vNdl5BXh79m6sP6JeA9zeH10tTOt+e/ZuR2b0Z4sPyNrb3Sr3YIBzgsCvG+SlVpS/lykrDmO+InOywCwfylL7jc3bdQbdJyzD9R/+h7umrMWUFUcw7NsNsFqtSNRY6NWbaf4jriXZLNl7DrdPXuO0gKNW31zNSKFvKVq895yhQeY3Zu3EFLF/IZw6vrjn05rBJZb18CQ7OlQxI5WC0h+PdXT8W2sqXaDwZGVfsX6ot/Qy0jzlzkITRphMklsXudEqdRT1boiVAS/b8wu/l1NXrqJehQSn5wCFF1BPyKf262eMKNn7VUbq2mpdPH39PXnCVWdcj7ImYVFR6wjba6H+tO6YavBEbWqmUQfPZWKPRkdUScxe0iqcrzZl2Chvz5G8AovTInxau3xnzh58tzoVi57vhiMqQR0jUi9kIaVsnMcdxs3HrsgyLuzEc23aGuML8WllaG7UWbRIkmy1/m4TFnKzZy+uOnhBlh0nUi4Up8y8uk8jA8IoVwNtRjP1ipJafWw1em/la2HWiSfBKyM+XXwAfRtXxPR1R/Fgl5qagdQYlZI0ANDm7cLpj0v2nkPzMQsw4+EOaFIlSdYeHTiXiUd/LGyL9L4jH010cZvWQN+SvedwJi0HMx/vpLv9Iz9sQur4G7FVMdVdvLF3lSndQ3Hjq6T12eQWmDF48ho0r1bK6TGtPoveok96PG2Kn56xBafTcnTLWRVYrKq/72mrU3E+IxdfLT+Mr5YfRp9GFfCpUO7FHtTUk5adj0XXZgeIZZfsA2dG1xZQsrfxi3afxapD+gv1fC4MdBu9NqglXPy19RQycwrw9dC2iI4Ic0zNvfGzFY5M0dNpOY66nH0bV0SblNIAtMf2lIPt4veQb7Y6tVXKoJoEeXkLcUqur3/Tz8zYavi5aVfzMXv7aUcpkCeur4PEaFsQy76o6Mi/duHejimObcwWK179Y7vmwkvzdEp8aM1cy3QjqJNvtmDcnL2yYLWyD/T1yiN4tX8DZOYW4ExajizjHwA2Hb0ky6DXW0RKvEbbX0ateVC2kRk5Bfh00QE808v1egDKGUFqft90AlNXHsHUlUd0M27F+w3l7EyxvdNayE/Z9uUp+tbKvnZugcVpxkC+xSJrC139nu0zDvedzcCgyWs075/F3ZxNz8H5jFwkx0Xiv33nMbB1FUcZkdNpVzUTZOyDO2lX83H8UjaqlXbuSxY38RMvqnu+jJx8tH9XGGT1f1cwYDCQSkGpRpk4fx+CYW3edj21WEl5w+CNfWc9D2RpOWegc+0Oq1U7W8IovYUELqpMZxMDr1r19Lw1UVgszeyinp3S3VPX4fsH2iE+2nUzrRlIDYCMVG80CvBBEk8pV+k0ypNBGVfMQsf2XIb7daXzCiyG65IBtizMp37e4nG2UfcJy7Di5R4ed+TShEWULmTmonRsJEwmyWflVOweclF3+JkZ8mmqkmSri2y0FAFgC8aK1GpeGXUuIwf3fK3/2hqJxsXq0HnPAvBafFnDWWSxWnHHV2twOi0HW45d0WzHjWZCZuYWYORfOzHzsU44owiYLZItMGV7P6//6TwAKJ7h+89moLqLm0DxN7ZTZfGywufp157Tuw7tPp1uOPtKKcyHv1nxGPefzcSuU2loXDkJKw9cwLYTaU6DGEDhjfmCXWdQrXSsY1Df0xlFaouuGGGk/R0/dy8SopzPwTf/3oXBbQpr9i3YfVZzQTwtHcYtVh0oiAw3wWKxatZOViMGa+zBJVdtaU6+WbaugbfBhMXXgsLiwLc43V5cxNHId6YXSDZbrE5BtDzFYJEV8qxetcxyu+IeKxHbhdx8C+BcEtPBbLHi3x2nDQX+1Gi9NyMZpHY/rz+GbxSLXioHJCf/dwiv9m+Amz5bgdSL2Zj9VBc0qZKE3AIz8gosLstyicTvyj7IpdbXUDtnP160H+1rlYYEoF3N0sjM9ax9AOSD8Dn5Zs2ZEMpBcdHXGmXv7HaeTHNqk5X3ZUYyN231Tws/D3d+z3pJSOLvTAwKArbg6Qt9bGVEnvl5q2yKvlzh++v6/lK3y0AUBfHa6+sFpe/4cg2qlIrBzC3yNtxfg7KBiIFUCgmjBzRSzVIMBK6m+AajrsL0LV+YsuIIapaNd/1EHe5O0cwVioCn5+TjohurmXsiK6/ArYxUwHiGWbAHTNU8dX0dnyy4Fkq0MlK9UWCxYubmE1i855yh6adKeQUWWQankT6vp0FUuzH/7MKIG9QXOHHlyrVpSysPXHAEDj+5owXGzvbt9UNvcMZitcoC2IBtev1+Nwe9bp+8xqNjUzpxORtPTt/iWPldi69LugSCospINVusjgxB7Zsy29T+HzUWZVTacuwKOo9fgs51yuo+70JmruqCJ/b2dNm+cxj67QZDA1U5+WZcyc531I1Vs/NkOppW1a6D5+q8EUuiuOvE5Wws8kGN75F/yd/fA99twLrXeunWgLx90mrc07GGIztx3Ws9USEx2uPrljjw6g6tDHaR1pReACifII9+2TMMjdIKjkSGm/DNqiNurTKeL1vB3dg2ykC8PAvQszbLYtEeHNA6n7WerzfIv+bQRaeMVLXAq6/KcnlKa7DkopDV+8yMLfhpeAfV7XecSMOAiStVHzPqw4X7UbV0DG5tWVVWhsJV391qteLklauoUipGdb0E5YJAdvZFDJfuPYcmVZLQefwSXMjMw13tqnl0/FarrcyDWj/uhV/Vywfd+dVaAED3+uUcs6Q8kRxbON39xOVsp5rbdnplClzNlLzp85WyhRwBW0b/ntPpqFEmFrGR4Yaut8oaqb4awLXv87hKzewle885Aql7zqgHygvMFqdBsoPnMot0sV4j7Mc0Yf4+j68hWtZpXDd8nXgQzBhIpZAwtHNNbD1+BbO2atddosD2mkoGjTuM3ozarRXq5KVdzTe0Arg3lEXofcndIHKga1ezNIYLi56QTVEEUtcevojnNTrxRqgdU1EH3A6cy/R45N1e/0nMvlQuglPUXvnDua2bvf0Urm9QvliPw+5ydr5usM8u9MKoRdd2Gt1vdESYbpBS6VRajsuMrseFqf4ie1DJvr1WnTu7t2bvdlyXE3RmRgyYuBLfP9AO19Urp/q4Lwb6pq9zvr4v3nvOkT3oLWV9VfuU9rhI7YzhjNwCRxAVsGU5rX71ep9myhYHbxZn1WNbBMa9ftlLvxdei1xloj3/61aMu62pUyDeLMtqdevlHfJUgiZ2Wospau5Lpy2YuPQgGlSUB7XenbNX9t9Wq/ZvSG8BIl/6a+sp1CrnPBNQrPVur6+pzPA8finbsRift577ZRtOp+Xg/XmFU69d1Sj9cMF+TFx6EG/cqD74qsxQBWxTme3KJtjW5LCXgvh5/XGn5xux5dgVzb6W1lR5O2+CqID8Mzpx+aoskCoONhipt63nEcWigQt3n8Xs7afRoGICPrurpaEaoPlmxdR+H/Une0xYhuplYrFVZYFg8fel9Vt7+fftTpmZvT7SqGdfjOyXG18HUfX4ch2XYMfFpihgudugx6pMW6KSw92V5z8VamqlXy3waTmF4uZtbcRA8+sjHR21tqiQt5mcak55sYI64LxomtliLbIbc7sudcp6/BpX8wswb6fv60Z768Tlq24HHYqbN4s1BCq1+tnFKTLc991wraD4V9cyDc8bLM0jZhq6Kn8z9Fvta5DFanwVei2v/2k82OwL9tkj7tY77TR+CZbu801wt7h4WsPUlXCT5PZMn7+EZAhXAfiZm0/i44XOi4CKzZSn14ncAouh+rD21/p21RHNut+uPl9XA48xkWGG30dRxfCXHziP/010XpxLmQ2882Qa7pqyVva3W/9vNTxcZ1KVGEQFXJ8n9gCTVh3lXaecy3aI9XO/XnnE6wAjAMzaYrzEha+J58+3q1JR+7U5eOC7Dfhj0wm0fKuw/JyvM5/tA4p7z2Sgz8fLMezbDQaO1Sqr9e2rGXdn0nOw/sgl1d+jxWpFboEZ6Tn5mp+BMogaKIprMEXkaR3wUMRAKgUscVV1kVZHIViyAJSjz+R/aqu2U2C7u3112X93ras/3ZXUiQui+cLeMxn4ZJHzza0vZeQUuLVKqijfbMXcndoLWpC2TT5cBDFQ6C3QUxyKou6xlhkbjuO3jccNZR+7S+9e12K1yhbPCgb2G0VPsuuDbYZImsYqzd4yW6yyRZLcZeSjdzW44+lMp0sqdfXV/Lf/PJ76eQvGKEqLDZmyFmnZ+bBararTyUWuAkVxUWHaGanCbU9adn6RtSda58jRi/Jp0jd9vtJpOvCFzNwivT/zdgaMMhsdAK4ItdQPnsvE/rOZXr0GYMtg9xcxkPrf/vMwW6y26ey/bXOUOwJsQWN/lworUGSkbjrq++uV02tarOj54X9oNnqBbgZ5IPJH6ONCZh5+23jcJwMMwY6BVApY+RqFUbTqTAbLCMkdbT2rr0NFpzhvZksCcQX0ovLWzU0QK0y7TI6NLPLXDEWfLfH9dCC9eny+8Pe2UxjkYX3QArOFv3cPXS6igEtJtl1nEaei8NLvvpli645guzEFCvuTJeE+sagyrf7dcdqr2Qknr1zFAp1V3AH9ciPuLnQle20XwU+7H9YexT/bnEuKrT50Ec3HLtBc/VvkKg4YYTI5ps0rLdhd+Pk8NWML9p7x/eKygPfBGncWWnWXO4NhRo/ibLp8n8qZN8HGVfkDu0tZefh7m38zL20ZqYU8WZjVXXkFFpcDHiT30u/bDZ9XoYyBVApYWjXwtAKmwVL8OFgCviVJNjNSfSoq3NhK1Gp6GqwTaTJJsgWHInw5d4xC1qytp5CV57/MEHJPmxrJ/j6EIrXcz6UFfOmyRhbfo4q6ecEgO8+MQ+czMfhL3yzoVhJl55kNLxil5WEX54642JHoap4ZaVc9H/hZdUi/ZqVR/yfU0NVyWKMkgJHHd54srNdalG3JqSveZe4fu+i8wI8/GF1IbYtKHc1g5k6W/MFzmX7NNLyQmVvsrx/MQVR/LsobVQSliYINPwEKWFoj2eEm9dM2GOIoCdHhToXYyf+YoeZb3gwWuPPrKBNXmIXK8QkySm0qHwWmaqVjZSsOU+B6+Af1zCF/Tmn1Rs8P/b+QCOmbq1Hv+r/953Ep29j0fDWTDARASxJXC9O5ctFgqYRAcUxlZfdg9tli4+WWYiPD/Zpcct8367lwtBsmLjmA02n+CQQXZaZ5sAiC0BOVVFqBVM2M1CD4Qc98rBOOXdJv8MpfWyGSPNeqeimnv8VGhqF3owqqzzeykiQZp1V+wwh3FrTp27ginuxRB98Oa8tMbx03Nqvk70MoFhwdDxw1ysT6ZD9xUWGoXS5e8/FEndXkqXhtSL3MaykVq2yNQfBHf9yE/UU0zZ1CX0muox4fFY5MF4sLUuDYfzYTHcct8fdhlFi866CApbVynlaQJhim9keEmVC5VLTuc1LKxBXT0YSuMf9r4vS3UTc1wpT72uCvJzo7PbbHy9F2KrTq1eu9GtRwJyM1zCThxb710aN++aAJojWomIDP72pZrK95e6uqXu9j9lNdfHAkhd4c0Min+wMgq5lL/qVchMRTcVHhSNAJloYLU1GqlIpRfc7QTin4rJh/c8HmunrlfLKfzuN5Q0eB4bHpm/19CERBJzxMQu+PmI1PZERw3HlSiaSVkaoVpDGy0mBxLIKjJyrChLvb13D5HJL7/oF2aJtivFZew0oJTn+LuRZkaV6tlK8OS1dRJkgO1AmMidPd/aFKqRjZCq3fP9DOre09rakWHREcQbQRNzTEgOaVi/U1fTHG1KRKkvc7uebTO1ugZwP17HBvxEY6B9z0fitUdHwVKI+PDEfpOO1ZGmImerjG9f35PvUM1172VJxOEL99zdJF+tq+EMGMfqISoXpp38wWoNA0a8tJZLHcGZEhjNhQwNJabEorI9XIyrBJMf4NMiVGRzgCelpCrci5L9QoE4sfH2pveMp4uErBXDHQNqJ/A58dm5Yne9Qpsn1rTZvdNqoPSvmwnmCXOmWx7c0+bm8nBjfczXR6qW99t18PAKKCJJAaFoCZ80UxuHBbqyqYMKi56mP9mlTUDHp5Q61tbVIl0eevY5SvsvyC0dBOKU5/66byeTStkoQJg5rjtlZVHH+bfE9rx7/7N62IR7vV0nwd8Zqg9tt6oHNNJEZHILKIM9b1bjyDYSE8fy5YQUTF59aWVVw/iQJScdy7bEi9XOSvQRQqAr93RyVWgcW9GqlG7gP8nRliZOppsExRLk4xEWGICg9Dx9plXD5Xq2ZejBBoe6RbbdQpr113zxce6VYbs1TKCKj5eXgHp7/pBRSHd62FO9pUc/otJMVG+PSGOM9sQVJMhNsBIb0g2f63+6NConOG2RdDWmHf2/08znwUv9/r3cw+K852wdPEr8giDMbsO1O8pS3CTaYiCaSqZQX6MzxUq2wcJt3dyo9HULTio8LRuob6TAG1dui7YW1l0/Tv7VADfz7eCbe3rirLUO7XpCL2jO2HVa9ejzrlE1C3QgK2vdkHfVRqXIttoFrTZ5/h4U3dZm95OxPmtRuM3Ty72+6JtPpbavWVmbzqW7XK+q6c07u3NvXZvkqiXg19P1NCTf8mFYvldeIiw5zaD1eTfp7rVa/oDohIwzQ3Z68RBQJGbChg5RWoX+61Ao1R4a6DlO0MBkyKKrBiJMj12g0Ni+S1g5k902x4V1tmUv8mFfHN0Daqz9XqCCunfhd1ZmBMRBhaGMz0iwyXH8uQ9tXxhEZG65+Pd0JMZBjeu72Z6nTVjwarZwEmRodjSPvqho7HruBaeY1vh7Z1K/Cs99lGhpvw3TDnDpMkGfsNaxGDs98MbevWb/gLRbDrlX5FN+rvSaC7TFwk/nrSWFDeE67KjXhK652aJCDC5Pvux6v9ndvO4sq0UwviJkaHo3/TSn4N4hWl2uXi8M3Qtvg/g8FiSZJkpTveuqWJ6uwBwNbmizVPk2IioKzeEx8VLvts1b5r+wCEPzMulRmpn97Zwq1SNYnRzrMM1DJsKyTq11/XozWj5+Rl58WjmvqwzEdx8fcguh5fnppl4v076woAqpWOwcQh/qtJ7M3AxbDOKb47EB1F2ccQta1ZGo0ry3+vFhdl0MTZAcGkbACc+6HG6Gwlb/s4g9tUVU2wCHR3tavm9jaeLihdv4JzyTryPwZSKWDZMyRSysRi5E2F9da0gi1Gpu5FC/VHlTXcxJu2Ksnqi1Y0qFj0DZkvF0zxJkNF9O2wtrirnX4QrnY577Iq/niso+rfX+5XHwnXbiSvq1cOa0Zcj4lDWqFasvr0dnsXsZMie1WZvenNgkhGuLN/5U2+vaP7WPfaTs9tWb3wBlwtq69Z1VKqwWSrVZ7VqDbNVin/WnmNMJMkyyRzdY66eu8NKyViRP8GsgVgvP06/te8Mga2qorxtzW9tr/CHb5xo/7ghHKhOrXP3Ve0Mur1SJK8o1pXJajdtW5Zze1dZaAYXWHdrWO3Fh6TchEgSZIMZaS+fkNDt9rcjrXLYNmL3WV/8/S86tOoAj6+o3BQYsXLPXSfv310X6e/2RdMVPu93KSS6ecLnpbGUPM/F7V8P7+rFZJiInBDU+PvxUgtc+1t5cG+GmViZW3NVZXp9b6Y0n9PB/cGoJTE4NY/T3bBzS2qONpWI9TqpouBz+vqlcObAxqhWmn1fosRWjXptx6/4vQ3L75CvynuutQAcLfBgUtPrglaSsV4VtrHlyWBhnaq6ddgu9rAg1FFVYaje315f6u4FkaUYJtZZBcZZoLZRSH6oi6DUlTev72Zvw8hoPz+qPo9lTuiDPwehnZKwZIXunv1Oo0rJxXprKui4u4MupQysVj/ei+Pasj/+UQnt7cR1avg21mYd7Z1P4gcioLvrKUSw14jNSE6Ag92qen4e7TGYkxGpsSLWYnKwGBcVOFjWv0MZW0hoyOgL/erj3+eNLbqdbQPO1gfDW6O5S/pBwCM6FG/PMbdpj9lzNt7q9Y1nDNGEqPD8Xh3eWZmpaQYhJkkzSwO+8X4+wfaYeuo3o6/K+9VAumarcwQsAcbXnYRFBEDgJ/c0UL4u/NzzVarLCj13bC2qvsUOzPizXXva9Nqq5SKweaRvZ22ExkZnX6kW21ZoMbbjLHwMBM+HNwcd177XYu7e6irdo1FwLdTVWc87FymQWS/YZ18T2uYJOP1ysTMvfEDnW8YvPn8jG478zH3OnLlE6OxZWRvLHmxm9NjyuC1UmJ0OIZfVwvznr1O9ndX0w6TYxVtsoefS9/GFXFry6p4skcd3N+xBqq5WKBDLRhiD6SqPTZxiPtT/p++3nXdZa2guFrwXa0MipgV4mql++oarzW4jfYCXxaNi2vt8q4H4sSBwbLxkfj4jhaytiYzt8BpG1+UynmiRx2vstye7lkXL/erj/cHNkPTqrYbL+VUer3BjMgw/T7BwFZVMKxzTdnfbmmhHTisqJK5WqOM+uff5lrpBpOsPa2p+txAUUtlUNcfC426auPslN+dN2p7ULKofEIU2qX4LmPXarX6NRgXG+X8e4kMM6FjrTL4xcX12Z3zpGy88cyyHvXlSQ3KTPy3bm5seF9qtMp/SJKEfGHQJSJMcpmR6ouAVtn4KNWyIHaPXFdLFkw2OqtBT0yEelmv4tK5TmHyRlGd/+7cZ7XxwW/ayIC3JGn3BbQo+0SSFDzrHIgkN4tH1S5na5+Hda7p9u9MbTFVd9ze2rcLr5bkNQBEARRKIJKzB3GUDblWRqq9gdIjbqu8wRI7vVo3e8rRaqMZn3e3q+G4gXKlrMYKxa2qlzK0vSguKhzVy8Sqjn7bF2EpjpFxT6Y/AMCbA/Q6l4Xfl5iN93wfW6AlPMyEJCE7Q3lTU5RT+92dHlag6Nja/9NVgEscGOghnItqN3AWqxWD2lTDMz3rYsbDHVT3fV/HGhBnXIuB1OFda+H/7m6Fv57s7FQmQcmdDBv7TX1bH97IAcZvYgH1z3nlKz0w+6kubmd5adWMtLPffPVrUhE7RvfFx0IAXI8YMEpQCYC5Ewye+0xX2X+r1eh7pmddp781r1YKb93SBHXLx+MLRSCwpmIf9jM6OS5Stc2Oiwp3yhoXpec4B8UA4JlezsclkhS9Gk9+5Xe0qYabrwWiXuxbH2NubgIAGH9bU9QsG2doJD4hKhz3drCVTHDnXARs1ya1YGSfxq7r6mm1a8ryFQDwjEpQ+samtvetFng1auy1z0uN1rW1QcVETL2vDWY/pT3gOKR9DUy+pxXWv9YTG17vhXoVEhAmNFhqgVTxd+NpUDXcZNLNwry/o3ZpjJ1j+qJSUgwe714Hg4XzJl8oXfThoOb48t7CBbaUGdyNK7u/YJrelMz/u8f5XHixj/qg3Sd3tsAzPetikrAAWLd65bD61esDaor/gueEAReV7yrMQCmROU93LdJFIrUMbuO7zJ74qHAsev46108URISZNH+XWvQC9YDrMj3ulLZQM+om7YwutQBFz4bl8fPDHdC+VhmM1QlaupOROrST8ZI4ymu28r7m9taenwOp42/UzLiWAJQRAr4mSXI5K8AXQcCX+tbDY93UZ/Z8emcLjLihoSxz2J3PXWuKs7JEVlFTzv6Y/pB+kN4XxJ9plzryWUhT72uD+3SuRZ5IMpDhbvReSuxTtlH0kyUE7vogw3UGDt29jRRn0IiZ4crZC5WT1Mv0vHtrU93+htJtrarg1pZV8OmdLbzK1Ffjy5kUwSwwz1oiFAaXlLX0tDJS+zau4HJaY7IwfUkZPBFvdrX6lMoOhgTJ6aZHjd6onjil6pV+DTRXmS7nQV0Ve+dE2eD9392t8OW9bTC0Uwp+fcT76R+u1POwtoterSbx6/tocAt8N6wt9r3dT1YnTpIkdK1bFvUqxKOR4mbU6NT7WmXjHEEVAFj+Ug/VjBe7cbc1lQWAp9zXxmXWobJja7TekBgEFzMp1C7uFqvtPHiudz10qGULYCkv1harVfY7EAO8EWEm3NC0kqEsDLXRZi3/vdwd20b1Qek439a3Ur6mvSZZ82qlnOpZmiSg+rWMQ/tjVZNj0aRKkmZbANjak3dvbSprd1x1KsWpl3FRRkeYJdlnmhAd7jSwoveqccJIdq2ycWhYSf5b6FS7DMb8r7HsBrRzHfVSAfd2qIGFz3dzyjbJ0Ah82qlNZReDM0Zotf1AYSal8vN3N4jZvmZpvHd7M9XanXe2q46lL3ZHiovFYZpUScTmUb0dWaxG2pqaZeMcNbxf1ViZ19UN8I8Pttf8ran9We3G5eV+9fHJHS1cZlarLfwE2KauqQ202Ack9N5Dr0YVdKfKhZkk9GtSCeUTox3XbzGg8r5Kprb4u5n/7HVOtQkXv+CcLa0UGWbSPW6933G8xmPiINXA1lVRRhhAVU6zrl46FjMfl2eDu5q2qXfGxah8P6ViI1QHY6omx+K53vVQRmifTSYJlUvFOJ1r7t5YRYabNM8jd4mBf+U39ch1tZwyDZVlK1pVL4VGlRORW+BcHsIVI2UDnu+tnUnv6Q2p/T2JddGjwk2oqlH2CLAN8Dj9LTrcaTDXlXG3aU+jtlpdB+PU2ojejSrgtRsaqA7iKemVslEbhBsjBE/1ylS5E0S8r1MKOtZyvQAqIP9NfzesrayP9/B1tRzrAHhKzIz76aH2hX+XbIO79r7eJ3e2MDS1334fUjouEl/d6951GgBSysShSZUkfDiouSwL+MamlXBzC1t/2Cr8Ut2p7dtPY6Eutcx9I4FAu58eaq+59oIao7UulX21ShpBMiNualYJ/73UHV/e21pW8g4AutUv57IfJhraKcXlc/TaLbur+fpt5rZRffDn453wnLAvp3tiSSryQKpy4P7V/g2ckgrU6C1A527LHaaRsPWOsEhgZLgJaVfzVbcf0r46xtzcBCtf6aGaUCEa2ikFHw1ugY/vaIGbW1TBrT6ufVzU64wECwZSKWDFRYWjYaVEpylvWoEcSZLwRI86aKQIElS9Vu+0QcUEtKtZGre3rqoacBU7s4PaVFW92ClHuiXJNo3JFb1Aaq2ycdg8sjcOvtMfj3WvDUmSVBcRUk4N0hMXGYbmQgas8hA71y6LKqViMPp/jQ3XR9RTo0ys7PN6tFtt2UVRLzDYtW5Z1ZvCv5/sbHjKcXxUOLrXL6+aBfH9A+0w75nrnEa8xYuAcmQXsE0hvq5eOfzwUHt8emdL/PdSd6x+9XpULxOL74a2wyBhmoR4k5aRI78A9m5UwWXWoXhBrVk2Ttbh0CPeEIcLAw6qgVSVGyXl1AyLVR54ytdYgAQAlr3YXXNF8k61bZ+n/XP57ZGOaFgpUXVaXVR4GJJ8WJ/Nzn6jbA+QPta9NlLH34i/nnA+r0yShO+GtcVNzSrhd8X0da2f9/+aV8ZPwztgSPvqsqCjXtBs1E2NDAfw973dz/FvZY3UiDATHr5OXq5A7bfStEoS7m5fXZb9Y79hflbI7JQkCfd3SpGdD0Z+euJNubL0h7Jd/PTOluhev5ys/qzaAk161O71fxreHuNva4q/r5VOUQZO3enrPdilpiwzUIsycKLMrgozmWTtjdZXvu/tfniuVz3MfqoLlr7YHb8+0hGbR/bG0E4pshv65lWTUCExCg0qJaClzsyEmMgw1fPgZhfZY6LoiDDc0rKKI4vp5X7O18qX+9XHZI0guFZQ6Ov7baVEahmYOeKOjrXLYPfYvtgysjcGtq6K0QMaoUOtwux28feWUjYOj3Wv7QhYR4WbULtcPO7rWEN3cEzt+i2+z3CThAfcnJ79waDmiI4wOQLB4jVEeYNkMkloVT0Zb99iy/R9tFtt2bRN+3cu9n3E82D9az1l+1MLpIabJN2sW/G0sv/GlFmMyW6244nR4W5nQmoR36/Y9oy7rSlG3NDQ6bxUvq59+1yda54W8XwTRYabcF/HGrirXXU8rQgOulNfrpnKbKa+jStg/Wu9sOzF7rIgnSRJiI4IU+2/VikVgzDhPHv/9maolBSNDwc3d1wntSh/1nqBPyusLqetJqoEuD4a3BwPX1fbMdCrR+/1z2fkyv67Vtk4lE8o/Dz0AgDuZEYmRkfg54c7GBoMELPB6pSPl52PVTXWZACM17xOjivcf1vZwmq211k9oif2vtUPPRtWcDm1PyLMhMn3tMZd7arj10c6oE/jijj87g2GjsNxDNfap4Gtq6K98H2KA1LiT7CVUPvfVck0rceV7XRybAT+fLwTXupb31A/oFOdskhRKXGi1a6JyS16i9n1VATiRv+vMKjvzvTobaP6oFrpWNQoE4e+jSs6lSeLCDPhse61UTExGmOuvcazOjN4+msEpAHgxmaVkDr+RtnvRovewA0AJMVGyNZ2AJxnCEjQHnR0l1a2unL25aPdajslFajRm4Hn7kC9+LvXuvRVLx2LLJV676KqybFuBc0B272Wqxlz7gjzQ7mcQMRAKgWsbvXKYe4zXfHBINto+/u3N0PrGsl42cVql8oZXDMf74QvhrTCz8Nt05knDGruWBFdvAEWb7gSoyOw+tXrnfYdoZg6IknGatborVAtSRJKx0XKMqCUi0v0b1JRM0NMzaaRvfHn44WrfCtro4iHE+ei7ore1P/oCBO2vdkHC5/rhvcGNkP3+uXw44Pt8Wr/BrIMh5x87ZuTHx5s71TLp0xcJJpVLaV7XOI3oXctkyRJNXh187Us0Trl41W3f6ZXXXz/QDtHxnGNMnGofO3f1cvEOs5LwHZBHNS6KhKiw3FLC/VRv3YaHa3P72qJ9jXLoH6FBAxoXhlLX+yOigZHrMULvCwjVWWcVO2GdcQN8kWYrFar7Ibp+obawfuUsnHor1hkxh5MeLZXXYy6qREWPW/L9mqTUhpzn+kq61AXtYGtquKn4e1VaxMrg3wmSUKtcvGYOKSVU8dKa6Dks7taOp6rvAm9oWlhB1XsbBvJAABsWQfioICySHy4SXIaJVf7Cfz5eCe8c2tTWZCh4FomnNrNpLtZMeLvqreLm8kwk4TvhrWTZQRqrdiuRe0GMKVMHO5sV92Ria58W+509Ube1AillDVWVVQpFSMbgPppuHyAQDlwpHXjHhUehmd61ZVlYZaOi4QkSbJSF38+3hkrX7keUeFh+OHB9vhpeHu13cEkOXfsp97XBp/e2dLle9LyWLfaaJdSWtZ+RZhMmgMCWoFU+6yEKfe1Qf8mFQ3XDDciNjIcydcyJod2rokZDxcOzKl99p/f1RJ3tauOWU/YrpFjb26Cxc9rZ6Yqb9BXvNxDlgFpMkkYNaCRU9aontY1krFzdF88cK3+u/i5aV2T7+lQA2tH9MQrKsFtwNZn+nBQc/z7dBfZ76C8oiaqWtad8nt799amWKpYuM3xXHsgVXFZz9W5zqtpWT1ZNXj7RI/auLNtNVmmpZ1YL1+L2j7DFX0wZbNuf/t3tnV/YTGtgWKL1YqxNzdxDDKJZWLcKWUzvGst1Ll2vnWrVw5Hxt2AL+9tg+S4SKSUjUPza30lMRBhD7rbPdmjDpa82E32exjcphrWjOiJxpWT8EKf+rqLy4kf1wsuBnotVv1aozMf74TSKu2sve2yGuhVx0aGq9btVxsUj1cZmNDiSS1dI4MBcVHheOfWJni5X31UTY51Oh8BW59F1KxqEh43uPBlVHgY1o7oibUjesqCwWI7YO8vamWkfjGkFfa+ZRvArZoci3G3NUWd8rZ222Rynn13R5tqTlmRdlqfsd5nte3NPpg4pCVG6Zb0guY1Wrz2PderHv55qgtqlYvHEz3qINZg/U3l95JSJhabR/bGwuecy2WIs6i+Hipfc0CCbdaGJNnuv8RBY3GQ4fHutVWDqWoLZykTDtSCePUqJGDtaz1x/7W+5jM962oGgvX6X/e0v1aWyEAX7V6VqeZag0t2ESqz1iRJwqd3tgDg3H65Q2tQ1MiYnVpwWbeUmeTeItRGZh/4qtyeWrfTSOKXUUZnToa6gAukZmRkYPTo0WjatCni4+ORlJSEtm3b4sMPP0ReXp5X+z579ixeeOEF1K9fHzExMShdujS6du2KqVOnGjq5Dh06hEceeQQ1a9ZEdHQ0ypUrh759++KPP/4w9PqbN2/GPffcg6pVqyIqKgqVKlXCrbfeiiVLlnj1vkqKwW2q4Y/HOrmc4i5eXB7qUhPlE6JxY7NKjhstkZhV4zzTwLmRUButNtIu6XXc1B6JVmRWdqpdRrVR/FPjxi06Ikz2msqpomJnwWSSsPetfqr7v75BefymM4UwTJKQFBOByGvTyb4b1g5drk25MssCqc6ja/d2qKG5mrqRQT7x+/FkhsHd7arjxwfb449HO3m90BFg6/hseqO3002r3df3t0H5hCinaf4DmldGZLgJ857tis9dLO6irL0qLiwhew9qGakq52lSTISsfq3FIj9XX7tBf7V70cPX1XJ8n9ERYXigS03NBUyKg8kkoVPtsqrZrlPul0/f0vv6jcx4LB0XiQXPXedY2f392wsDAGJmkNFsVPt3OfupLhjUuio+HNRCdhwSJISHmdC3cWHwUrnIyD9PdpF1lO1ZM/bAjdpK4DHC38Qj1cqC9HWNJFeBZrUbQOV0MOUxucoY8PQtiOVKlNcFZQfT6PcuGtCsMh65rhY+HNQcJpPkeI34qHBHxjcgP35Jkg+h3N+xBnpd+95d1SzUIkkSfnmkgyybXO9mWPy81RbHqlk2DpPuaW24Zri3qqhke1VIjMa425rKBk0kSdKc7aIcCK1WOhYthBqkCdeyzVopsm6mP6Qe8LYTf5/iOaS3+FDFpGjN65UkSRjYuioaV07Sze5R+90q9zmkfXWnuseFz7X9v/I8yDUbC6TOfLwT7mpXHeNva6paMqF/k0oYP7AZbmtVFcM6p6BFtVK4q101fH1/G4zo38ARANciHpf9n8rfpPLY7YHKRpUTsemNXi4XXxLLDqkFxcTXtntduJ4aLesSZpLQuU5Z/PBgO0fZDeV3VSY+Chte74X1rxdmHovTbRtWSsSLfesjKjxMs81OionAZ3e1NJSR76q7ZLXazqfJ97RyyoaffE9rtKqe7EhmENmPTTmrTE1MRJhqpr1a9rhWrU7AOWPPk4WWjPQRYiPDcHf7Go7FU9Uy0yYMaoato3pj/es98WKfeph6XxuXfVNxYLJiUrShQXjxeO2Bq7rl43Fjs0q6QaMfHmyHwW2q4peHO2DszY0xckAjPNilpluBH73PKikmAjc1q+wy6BkhazfV7wMe6VZLN1OyWukYfHZXS0xW1ItWZtlZYTuX61ZIcDrfwk0mbBnZG+tf6+lob+2D6l3rlsOX97bGnrG2cmNT7y8MtIrHXzU5RjX+YCRIJV5rtX7XkiTJyp092KUmbmxWCT8Nb4/6OgFA+/6M9PHUrjU3NtOfBaO135tbVMHOMX1xTwfPa71q7Vs5oGL3zq22oO2ku1thwqDmsllTgH7tVgnqQW93j03kag0Ko9zNlnUXp/bb+HeJO4WjR4+ie/fuSE1NBQDExsYiNzcXGzduxMaNGzF9+nQsXrwYycnupyZv2rQJffv2xcWLFwEA8fHxyMjIwMqVK7Fy5Ur8/vvv+PvvvxEZqT7SNWfOHAwaNAjZ2dkAgMTERFy6dAkLFizAggULMGzYMHz99deaF72pU6fiscceQ0GBLRU7KSkJZ8+exaxZszBr1iy8+eabGD16tNvvi5yJ30Gsi86qWITdSAPX3Wl6vWRo9FyPWmOnXCE6JjJc9dxq7iJr007ZMCv7/dERYVj6Qnf8tP4Yvlp+2PH3bxSjrHe0qYbFe8/iQmbetf0Ya0jVpgC8pTvi6Hq/3jbhJpPkCPr64nIgSZJusfuE6Aisf70XAFtn69PFB2S1wLTajqZVkrDjZBqqlY5xmrJyY9NK2HUyzSl4684FVDbVClY0qJiAtYcvATC2SuT1Dcpjw5FLeKJ7HY8CRv7QqXZZ/PZoRwyavAaA/o2h0d+3GFiLjwrHnW2r4eSVq2hQMQHbT6S5dXz2w2lSJcmR+WyxWNG8WilEmCQkxti+l9H/a4wLmXkY2ikFPRqUx9U8M6qVjkHDSolOgarP7mqJPafTHW3Gne2qY8aG4+gtZLaK37f4mWgFdpRtZpsaydh49LJb73X9az3R7t3FAGzB3foVErDvbIbqc9Xid8rsOqdz38UpmRAdoVmPSs/btzSB1Qrcr7LgiPJzUf63sgamGpNJcsoYVxMZbnJk/Jskedv++o2F7UX1MrEY2ikFidHh+GzJQQC2m8ShnVLw3epU3ddQtk16vwhx0cfr6pVzvFZx+/r+Nth7JkM1Q03Lqld7IK/AgqajF8j+bjJJMEnyIMBrNzbEzC0nER8VjiEqNRcnDGru1iyS6IgwvH5DQ+SZLehStyxG3tQIb83ebWjbhio3xDc1q4w5O06jfU3bLIAtI3tj1taTaFgp0et61PbzWfl7zDM4Lb5ltVKOoHP/JhXx3/7zssfFwXK1BSdbaCykVTY+Chcyc9G1bln8vP647DFlgE0MpN7ToTpe6lsYkCoTH4WeDctjfeolzfcwoFllzNx8EoB231EZrBVn6VQupR7werRbbUz+75Djv7eM6u2YFm4PwqlRJhhkC1NDxUCNLwa/lPHyhOhw2TRT+zWzX5NKaFq1FP7aegqA7Ry0JzRUTIrGq/0bYPzcvY7t7M2Mq1kBt7WqgpjIMFmdYTu1vo9y5oyoTHwU7mhTDb9stJ0v7s6SAOS1u7vWLYsVBy44jtN+jhgpGSBJkuO9P3m96zqxgPZMJ8c+Vf4mzuy4uUUVtKyWjPKJrut91ioX7xgkFmcXLXupO3afSseawxfx5X+HtTYHYCwjTisLsnJSNJpUSZINHsZEhCHfbDv3xPeqF4ic/+x1jiBigdmCjrXKOP5bmSkpUk6lDg+TnBJ0fn64A/7cfAJ3t6/hKLMByAfUw8Mk/PNkF1y5moeqybGqg0lGzkPxt/zjg9qDdmK7rMwg/ml4ewyZss5pG/vPyN1V6e3ualsNqRey0LmO+iy0DrXKYMHus4WvJ7yOPTD779NdcONnKx1///HB9rjna+djVSqwWFGjTCyOXsxGn0YVHK+jVb7k7vY1MLBVVcd39Uq/Bpi74zRSL9riPXql+SRJ0hxIU6PX/lZIjMLZ9Fzc0KQi1h/RvvYYpfZK3uajPtmjDiYutfXpuNiUTcBkpBYUFGDAgAFITU1FpUqVsHDhQmRlZSE7OxszZsxAQkICtmzZgnvuucftfaelpeGmm27CxYsX0aBBA2zYsAEZGRnIysrCxIkTERERgfnz5+PZZ59V3f7IkSMYPHgwsrOz0blzZ+zbtw9paWlIS0vDqFGjAADffvstPvjgA9Xt16xZg0cffRQFBQW45ZZbcPz4cVy5cgXnz5/HI488AgAYM2YMfv31V7ffGzmTZei4tZ37I2+SZGw0WknMTFB72Ue6yesfdqlTVvW9eBq4UhtJSikbh9duaKibyTJ+YFOse61X4X4Mvv7d7WsYWnnYPrXpmZ6uV84VR971SicY4e3AmrunwLO96mLJC9106xfZTb2/DZ6+vg5+faSjU0Aj7FqwRTnd0eg0JgCy2m0WK/DJHS0xqHVV3dWzRV/f3wabRvYukjqnRUk8d/V++57OhBk/sBl+eLC9WzXX7JQj4oDttz7r8U747dHC86BSUgz+eKwTBjSvjPiocLx1SxM8fF1tdK3rPFUsOiIMLasnO9qMxOgILHmhuyxY91j32igdF4mHDEyfBZzbka/uK8z0NfqxKQcBog1kt4jnuzLTUtkkSSjMyB8irIzaukYy4qPC8cOD7SBJ2sEZLbYskzayz9q+jzsVgTXx/HqmZ1385SKjzgj7Kq/vCQssSZBkbYQyyDz6f43xvGJ1dvH3b89OckXtN/H7ox0xsFVV2YrYbVJKY8z/GuOHB9sZ2q8v9WxYAU/0qOPWbIOo8DAkREdgeNeaCDdJuL5BeYy4du78PLwDUsrEOt5LYnQE9r/dH5tH9lYtieHJFLrh19VyZOoZWVxy6YvdMePhDqirsphjZLgJU+9vi+HXaiknx0ViWOea6FCrDCLCTNg+uo/hNt7Gub10p76pOLVV/E4Gt6mG7x9oJ6u3Xc7AgoYTh7R0BLDs/aW/nuyMkTc1kg0g2F9K2Q6Lh/72LU2dFqV5oEtNfHpnC6So1JD/8/FOaCOUhdL6HJxryBYGXZpVLYU3BzTClPvksyOUC+p5utKyWGdfPAxPb37FfSh3oSxFIWZ1VkqMRsNKiWherZTTAJI7CwN+OKg5kmMjMPupLvhocAsA6sGyJop+pqu2xyTJB0s9mdo/on9D1CoXh7dvaSJ7D+Lid+4spqRkn+liN3FIS8e/XWUuqgValYkV1TUWCDSqfEI0utcvjwKz6/ZAli2u8Ryt4N3yl3vgy3tby9oPMbO7Vrl4NKqUiA61Suue52ImZniYCT8/3MFRt1S5nXjeKzNv1V6jSqkYPHl9XacAa0S4mEVrQtOqSY6+g1ogVS+gayf+XPTWurj7WnanWgkBsa0VFzq2v3xUuAnxUeFO79V+76JVGzw8zISRNzXC9Q3kJZ+Wvtgd425rivsU5QDUfvqNKyfh/+5uhTrl4zHn6a6OxBdXzGYrZjzcAa/2byDLFpUA9Khv+wzs/2+nPP/Ffp3euSRpHLsWvSzOv5/sgolDWuLejinGd6jD6HE1r1YKs57obGgRNPE7YCDVJmAyUqdNm4YdO3YAAP744w907GibTmwymXDHHXfAYrFgyJAhmDNnDhYvXoyePXvq7U5mwoQJOHPmDGJiYjBnzhzUrGn74UdGRuKJJ55Aeno6XnvtNXz11Vd49tlnUa+evP7PqFGjkJWVhYoVK2L27NkoVaoUAFtW65gxY3DmzBl89dVXeOeddzB8+HCnjNmXX34ZZrMZTZs2xa+//oqICFtnokyZMpg8eTJSU1Mxf/58vPLKKxg4cCDCVFYeJOPEjow7mXlVk2OxzoNRIE9vmN6ZsweAemMXGxmOraN6Y0PqZTSpkoiKSdE4eeWq26+jRa8BrFshHluOXVF9TJIkWQkEo6n9STER+Pfprvhm5RGM1cmyef/2ZniiR23NKYWi6IgwbB3V25Yt5GWD3qxqKSzbV5gVU8HA6Lw3pGs1OY2okBjtFPxw5YU+9bDtxBXc1a463vx7l+5zxelPFqsVFZOiZfVfXXGViRuojLYT4q+7anIMTlx273foyfQarQL4vihBoadCYjQ2vt4LJpOETUJmqdarvnZjQzz98xbHlHxvM91MkmRoEKBr3bL4euURAM43vpIk4at7W+PhHzYBsAWUHu1WG3e3r46dJ9Px07pjAGzTrvPMFiRGR2DXmL4eT30X/Ty8Aw6dz3QaNBK/NqMLybky5n+N8eT1dVAxMRrPzNjqeJ2GFV0PWIlKx0UidfyNsFqths8vtSztNimlnWpdA3DUagsmr9/YCC/3ayALvrWvVQbLXuqhs1Xxq1k2ztC1Uk1idASaVEnCF0Nauf27tV9ujQZSI8Jssz/m7zrr9JjJJOG6euWQV2BBi2ql0KRKoqHr+U3NKuPGppVk52yVUjGaNVTzFNmLrgbAI8JMuLlFFbRNKY1xc/eibvl4fLc6FeNva4qW1ZMdtaYBqGZGAs4DDp1ql8Fj3Ws7auqJmf6R4SbkFVjQrV45fLLogP7BGSDOtrK4kZGq95U+3bMu5uw4jfsUN/rKfd4lDCSZTBJmP9XlWsBB2VbL96/XnxzYuioGKmr9i/t76vo6MEkSHuteGz9vOO5YcEptUFH5muK54MnAZ7XSsVjyQncAwKI9hed4eJht6rfFatW9vri6hxBnqL1xY0P0bVxYx1Hr+1z6YnesPnQBg9s4L2r21PV1sOX4FdmCqb6gN1XcTvysq5SKcVoYTI89S1OWkSoEN8Ps55rkeV9JmV0o/nZe6dcA+85k4MC5zGvPNf4aYmBUWT5C7es30gaKfUu983ZopxQ0q5qkmswinj/jb2uGmz63ZYDa14MwmSRsfKMXrFag4ah5juc+07MubmpWCbXKurd4pNY1S+vd3tC0Em4QMsqf6FEbP68/jgYVE7D60EXVbQosFlRKisGjypIekoRP7myJ+TvPoK/OQluALej8w9qjqFk2DhUTo9E2JRnhJhPWHJa/psnkuo8/pH11R79Tb4GmConRuMlFSQR3qB2X8lwrExeJjwY3R+1y8fj7yS6Yvu4o+jauiP6frnC5TwZSbQImI3XatGkAgB49ejiCqKI777zTEQD9/vvv3dq3/fniPkRPPfUU4uPjYTabMX36dNljWVlZjhqojz32mCOIKhoxYgQAID09HbNmzZI9dvjwYaxcaWuYXnzxRUcQVW371NRULF++3K33Rs7En7aRa+m0B9rh5haVneqIGn0tb2s3a42+loqNRO9GFVApSXtFT49fU+eD+fyulvhf88qGsqbc7azc17EG3hvYFMu0FrEw2QKMRvdbKjbS44wN0ePda+O5XoUBjolD1FejDxblE6Mx79nrcH+nFHxwbURWzPjR4sM65AFPPMP0+gPiTU6bayteutOBDpZyB3b245WV3NV4C/9rXhnrX++JNwcUZoDZawAP71pLfSMdEoxl4okZHGptRZ/GFW0rm9dIRv8mtk54QnSE7H1EhZscbUdspHPGhSdiIsPQpEqSc+Z4EQTAw8NMqJQUI3utUrERqJgUjfnPXoc1I5wXS9TjTlteEtoJTwIqwejGZpXQsbZ7iwDazxUj58Gj3Wpj7jPXubzZjAw3YdYTnfH2Lc4LCLk6DiPSsuXlO4wOgFcuFYPP72qJp3vWxaY3eqHPtSCWOPVWq6SBsqyEJEl4pV8D3KyyIOWaV6/HP092cVrd2hfEYJB9kSvtj077c3m+dz0ser6b0+wTse38+I7mTvVfwzQGu10FVt3RqnoynutdD9ERYZh8TyvER4UbWrDGJEmy89jb+oTK8zw5LlIW1FbjTnNqtRoLZtQsG4e729dQbcfKxEfhryc6e1WHUs3AVlXx5oBGupnu4rn42Z0tcX2D8rL62wBcTiWUX8eVZcsk1Xah7bXMXFdldZTTuMVzo1rpWPzySGF8wp1BcvF7UE6gUwssJijqeXZVycYUzxu9TOowk23xSrVSXWLgOMwk4a8nOuOHB9vJ7jujI8KcZl1IkoQ65RN81r81+lG+1LcBNr7eC+/e2lTzPRdojJJJsCX1DG5bzWkGglKvhuUx4+EO+PNx2xoavz7SUXWRTwmS5v3D/R1rYNoD7WT9Y6N9wW8VZfViPGmXVF5K+cnMeqKzoxxTuYQoPNurnlMiR5VSMWhRrRSmPdBO9l4ZSLUJiIzU7OxsrFq1CgDQv39/1edIkoR+/fph0qRJWLBggepz1Ozbtw/Hjh3T3Xd8fDy6du2KuXPnYsGCBRgzZozjsZUrV+Lq1au626ekpKBhw4bYs2ePo16q3cKFCx3/7tevn+r2Xbp0QUJCAjIyMrBgwQL06BFYWQ/BRry4GfmZd6tXDt3qlZNlGBglSa47QZ1c3KQYnZXu7Wp7ZeMjHbVN9VRNjsVnLhY9snP3XjM8zIQ7PFgVt6hFR9hWz/540X4A7mcR+nIlRF8b1KYabm5RRXWlZiVx9fBQJ2snDE7tH3NzE1QvE6e6yIUWd4NoyilPga58gnw60EeDm+OtW5rolgjRUrdCvGp213X1ymH5/vO6q0orqQ2MyQfZiq8TWNQdzi+GtELa1XxHdrmRzCAAaFTJ+GqzokBu7wJFqH1CaudwmfhIHL6Qpbud/Xfor3Up7C9bVbHomDtlCRz70ngTeYopzT891B65Zgu6q0yl1VImPsoRcPtmaBu88Os2THBjZoge8a2OGtAIVUrFYIBGW1rTjQyzB7vUxNcrj+C1Gxrg0R83A9BeeEuNeEp9eqd8Ea1P72zhyLTXc3vrqth7Jl1Wj7h1jdLY/mYfY0Eeybk9i48KR2auvB5mu5ql8WzPuvhp/THM3n5ac3dFtcBLTEQYruab0aVuWdnn5k3JAF8LM0m6C+UB8t9d9TKxTuswAK7v28TkE2UpDC0TBjXH1yuP4A6VDF2Rq2u1p4OiETr97xE3NIDJJCHcJOGHtUcBAB1rlcGQ9tVRLTkWNcrEqgZSxVq3ntT2BeQZkmEmCc3dLHHkK+7UYjWZJKSUjcOuMf2w5vBF3P/NetnjaqUSAPeuQZIkoYNQB1h7gUf1x25oWhEv9K3vlOhjtC/YXSg9EG6S8OcTzgtLTxzSEk/+tEVzH6ptkaKtM9JG/v5YR0dgXZyp5otZXKEgIAKpe/bsgcViu3lq0kR7BNH+2JkzZ3Dp0iWULq1fZBsAdu7c6bS91r7nzp2L3bvl047d2X7Pnj3YtUs+jda+ffny5VG+vHKhIpuwsDBH7Vbl9uQ+I5lUatQanYGtquKPzSc0tykdF+XyptJVf93oBUTcz6+PdDRUz0T015NdMH/nGdzRVr8j4Q69TsU9Harjx7XHnOq9BoPkIKv36YqrIOr8Z6/DyoMXgi6I5w21VevViB3/pJgIPO/m1Gx3YmhR4Sa8fqPrBYaKgyzo6EYnV5Ikt4Oofz7eCZuOXsbNzauga91y+HPLSdn0xS+GtMTSfecddf+61i2HxpUT0dTNwL9aLcviUNSrp97YTHsxFTULnrsORy5koXUN130oNYyjGuDlZ6TMSPK3plWS0K5maVQtVRiQ/OD25njp921oXrUUpl4rtaHF00VLfKVNSmk80aM2vlh6CG/d0gSL9ziXGfBUvtmCD25vhpd+3w7AltmjVrfWqOsbVMDmkb19NtgjXsMSoyN0y4vUr5iAKfe1wberjmhOnbUbeVMjPN+7niwDzJ1BI/GZlUvJA903t6iC+hUT8OZfu/CMTi15rWCz0Uy5yDCT00+1WdUkrD50EZFhJgxpXx3frU7FK/0aoHWNZPxxbfEoLUU1Zrb2tZ44n5GDOuVt59W0B9rhal6B00BmoLO4n6+C6qVj8fB1wn2E8BmPu60p7vhyrazWt5qy8VF4pZ/rWYeuZiJIwsPuZGPqzWIqFRuJcbc1xawtJx2BVEmS8O6t+tn54u/anVlSIrHkQFH3U5TevqUJ3pi10/UTNUSGm9BNMViVUiYWvRtVUH1+UVyDJElyijO8c2sT3N1e/V5KbB/LJ0ThXEYumld17seKbf/4gc3QQKVk003NKqNjrTJo/fYi9WNzcexd65ZFZRdxhNtaVpFlJ4unWZSB5JySICB6aqdOnXL8u0oV5ykvao+dOnXKUCDV3X2np6cjMzMT8fHxsu2Tk5MRE6M9xdq+vfh64n/rvbb98Q0bNjhtL8rNzUVubmE9mfT0dN19llRGM82ctlO5EH04uDn+3XHKsSqy0sPX1cI0Fyse39BUvxaLJ9euxpUTnaZPuVKlVAweMLiIjFF6HYnRAxpjcJtqaFw5eLIcJw5piYuZeYbrl4aK+hUTDGexhYq65eNxe+uqKOti2l31MnG4nH3F49cx0tn+8cH2+GFtKt66uUnAjPJKsna0aF+rZfVkx5TWsvFRWPdaL1mHMyE6QpaNGhluwr9Pd3X7dZpWScLgNlVRpZT2wgxFIdCmQNWrkIB6XgR66pWwtsITanVk3dGtbjkMal3V0CKNxSHMZJveKEopG4ffHu2EtYcvug6kBsBP4KW+DfBSX1swpXnVJCzbd94ng4dxUeEY0LyyI5Bq9sFIgy8z5t1dELV3owrYdPSyLJDasZb6zKq4qHBkCdmb7jR14ntU265BxUTZVGpfGtopBRuPXkK/JhWxbN852WOf3NECE5cexD0daqBehQS83K++Y1r00E4p+GPzCdliXiJPvjYjAaykmAjZdGRlAClYGMkEV577yxWLbTWvWgqALXjYoGIitozs7bMp5mEmCb8/2hG3T14DwDlbWfxPd15RDNBqBfTcvWaIfVdPS9GIfRNX/ZTBbari140nfFZb954ONQoDqT74+p7vXQ9PXa+9wGRRXYPE72HaA+2cSroAQIOKCdh7JgO3CGVdfnmkI6atTnWZbGTRacDjdQZcVRNShX//8KBzqQJXxLbK2zIooSIgAqkZGRmOf8fGat/giI+J2xTFvu2BVPv2etuKjyuPy9vtRePGjZOVHSB1Xi7g7kQr67JUbATio8I1M1LfHNAINcvGuSx2b7QxEqcIiBfNDrVKY+1h9xfJ8ob9oqA3xTk8zIRm1zo8wcLTQt9M0Ao+kiQZmjr5+Z0t8da/u/Goh5nVRoJoXeqWNbwiaUlQVIFHSZLw/u2+mS7rjgCLo3ps9lNdsP1EGvpoZHyQ75hMkluL/vlC/yYVMXfnGbe/X0+zoYqD1s1zs6qlsGdsP6+y1N8b2BTL9p3HoNZVZZ+BJ1l3RaFl9VLYcuwKbvcg8CHGZZ7pWRf36gScxbqS7mS1iadNcZZaAeBYpR0A2tUsg1lbC5NYyidGY+zNhTMQxdqSTasmYeuo3pq1+d15/w90roll+885LaIVynwxm6F0XCTWv97T8b34ug69uGhiUqy8dIKYhacXxFIS+zSVS6lnAYa5efMaFxWO5S/1QHiY5HGfyZ1SHG/d0gQ3t6iCNinJHr2WHl98g1VKxei2I744TSonReNUWo5sn0kxEZj1RGdEhEmaiUN/PdkZFzLzUEXIvK9ZNk7WDmnRG5jTS7woigxc8UiYkWoTEIFUMmbEiBF4/vnnHf+dnp6OatV8N007VJh8kEmlV3eodrk4HDqf5bjZ0GrjkmMj0b2++qg1YEv//2blEYy6qZHmc0RJsRGYel8bRISbZFO1f3qoA/aeycANn6mvslcUfh7eAWsOX0SvhryhBjjVNZRVLxOLKfe18Xj7olhoqDhIGv8m911Xrxy2nUhDnJ9KC/hKkypJJaqOsjfio4KvPMwHg5rjhqaV0EMj205LbQMzOLRWti9qetdmb0t93NG2uqPmuzig7uvBfE9Ne6AdNh+9LKsfapQY1NErBQDIgzFuTQ+WPAvA+todbashKtxkOEBUKlb7/sCd9zFqQCOMgrH+f6gwkq1t5BMs6pIG3wxtg08XHcCHg+WDWdERYfh2aFuYLVa3F7pd8XIP5OSbNc+fvo0roHm1Uo5FTY2oXsa72TVijVRXZeqiwsM8akuMaFm9lMfb/vRQe6w9cgm3tNSf+euLwZpfHumIH9cdxZf/Hbbt89rZ2sJFbdmo8DBZENUdWotn2U17oB2e+2UrLmXJ10ApiiZVvI4bLY8W6gIikJqQUDhNLDs7W/N54mPiNu7sOzFRfZqU1r7t/9Y7LvFx5XF5u70oKioKUVGuVzQu6SQvOmffP9AOV4RFO9T8/HAHLNp9zpGNqdXEuXrpu9vX0KyjoqWXSqaIySQhMaZ4f8rJcZG4oal7dfmISqJOdWxTIoMtnupprWly9uT1dVApKQbX1WPWcagbe3NjbDp6Gf2a6Jf0CUTx16aouys5LhKRYSbkKYKl7YTMLq2V7UOFJEm4t0MNnE3PQX0vymb4UmJ0hO5gvh53sozFbDh3gsjiS/gzqTnMJPksK/T5PvWweO9ZDO3k2zJaocLY1P5iOBAXrm9QAdc3UE8UcXegya5aaf2gZ1R4GP56orNH+/aULJPey4QQSbINXIklKFxZO6InzmfkOmr/eqJTnbLopBPgLZcQhfMZuejZ0LPvTVStdCxG9G9YGEgtwnO1W71yWHXwAm5w0ZfoVq8clr3UHc//shU3t6iCp37ecu3YnA/OaNKPfdbpra3kwel84ToeKGXI/C0gAqmVKxd23E6ePIlmzZqpPu/kycIi3+I27uxbK5Bq33diYqJjWr+4/eXLl3H16lXNOqn27ZXHZf9v8djd2Z7cJ5su5Oa216nUHRrSvjqmrDjiqHtSPiEaQ9oXrjzvyeqvvlbc06JIrrqLDhKVXI0rJ+Hfp7ugYmJwLQpBvhMVHia7ZlDouq9jCu7rmOLvwyh2t7SsjF83yhfmFKeD5/opkFqcGdRv3aK9IG2w8XSqsDt9UXHqqT8zUn2pdrl47Bzd1+NV1EOdt8E68i35gIl3X86sxzvjg/n78NoNxhdMrZgUjYpuLpzsrv9e6o7zGbmoUSbO5/suylbru2FtkVtgMVT+LzE6AlPvbwsAjkBq1WTPMmABYNYTnXHi8lXUKS+fbSIOlgZa7X9/CYhAasOGDWEymWCxWLBz5070799f9Xk7d9qKElesWNHQQlMA0KRJYcdm586daNhQ/Qdu33ejRvJpFsrt27Ztq7t948byehf27c+dO4fz58+jXDnnQJ3ZbMbevXtVtyf3+WJqv+ilvg3QuU5ZtE1RP+e04qgMboa+v57ojM8WH8AINzoOVPIE04JrdhIn9xORQa4CYcWdkbrsxe44eeUqS1F4qFV1z+ogRroRQDSF6KwHBlG1uZo+DhRNbUdSJwbDysR5N+O1ebVS+PEh9xcwKmqxkeGoUaZowl1FuUivJEkeLej03bC2WHv4Ega2cs6yN7qgWXREmFMQFQj9mSWeCIjWPjY2Fp0729LZ582bp/ocq9WK+fPnAwD69OljeN/16tVD9erVdfedlZWFFStWqO67S5cujixUre2PHj2KPXv2qG7fu3dvx7+1tl+1apVjkSl33hupk2eken9Bjgw3oXv98oiLUm+IxYbp22GFgfYqGgXFiwK7Hf7RvFopfD20reoFhyiYcWo/ERmltuCL2G4Ud0ZqStm4IqvnVxJ0rF0G3wxtg2Uvdjf0/CHtq6NdSmm0r2ksyQWQnx+hkpFK6mqVtWUD9m/iuiQYT4XiI0kS/nqiM355uAOS47Rr/5Lc0he74/dHO6KWgfrgxa17/fJ4tX+DIskYbVqVA5NKARFIBYD7778fALB06VKsW7fO6fHffvsNhw/balLcd999hvcrSZLj+TNmzEBqaqrTc7744gtkZmYiLCwMd999t+yxuLg4DBw4EAAwadIkpKWlOW3/3nvvAbDVN73llltkj9WqVQtdunQBAHz44YfIz8932n78+PEAgBo1auC6664z/N5IneTjjFRXxAHWHvXLY9oD7TB6QCO0rmG8Q+ktdjyIiIjIH1wtqscVfoPP9Q0qIKWssemw797aFL8+2tGtbExv1jOg4PLHY50w5b42GN6VtWMDTfNqpdC+Vhl/H0ZQqVk2Dm00ZqkGMm8rEVZKisGyF7tj88jerp9cQgRMz+b+++9H06ZNYbVaMXDgQCxevBgAYLFY8Ntvv2H48OEAgP79+6Nnz56ybUePHg1JkiBJkmqg9MUXX0TFihWRnZ2NG2+8EZs2bQIA5OXlYdKkSRg5ciQA4OGHH0a9es6rU44dOxZxcXE4ffo0BgwYgAMHDgCwZbKOHTsWkydPBgC88cYbSE52ng7z3nvvISwsDNu2bcOdd97pqId66dIlPP7445g7dy4A4P3330dYGIv3equ4y3YoG6Zu9cphaOfi7SxwKgwRFRW2LkSkx1X2y7jbmqJ2uTh8emeL4jkgCnjiGcNye6EtOS4SvRtVMBRo56lAFLhSysahNLOXHQKiRioAhIeH4++//0aPHj2QmpqKXr16ITY2FhaLBTk5OQCAli1bYvr06W7vOykpCbNnz0bfvn2xe/dutGnTBgkJCcjJyXFkiPbp0wcff/yx6vY1a9bEr7/+ikGDBmHFihWoV68ekpKSkJmZCbPZDAAYNmwYXnrpJdXtO3XqhMmTJ+Oxxx7DzJkzMXPmTJQqVQppaWmOejFvvvkmBg8e7PZ7I2fyGqlFf0kOhMWmiIh8iQlCRGSUWkahOMBbt0ICFr/QvRiPiAJdcffVKUjwVCAqEgxX+F7AZKQCQEpKCrZv345Ro0ahSZMmkCQJERERaN26NSZMmIC1a9eqZnwa0bp1a+zatQvPPfcc6tati/z8fMTFxaFLly6YMmUK5s6di6go7ULLN9xwA7Zv347hw4cjJSUFOTk5SE5ORu/evfH777/jm2++0e0IPPTQQ1i3bh2GDBmCKlWqIDs7G+XLl8ctt9yCxYsXY/To0R69L3Jmkk0XKvrXe76PLYv5rnb+W5WZfVAi8iUxCMKbXCLSw/V1yF3yGqn+Ow4iopKgKBfHKqkCJiPVLiEhAWPGjMGYMWMMbzN69GhDgcgKFSrgo48+wkcffeTRsdWuXRtfffWVR9sCQKtWrTzKqCX3yBZJKYbXe6xbbfRpVAG1yvqv6LT4Piff08pvx0FEoYf3uESkx9ViU0RKXGyK1LBUGVHReHNAI8RHhWNg66r+PpSQEXCBVCJvFfd0IUmSUKe8n0d5hLcZwdQQIvIS72uJyChXi00RKZm42BSp4KlAVDRKxUbirVua+PswQgojLhRyxMQIXpCJiNwnsR0lIoNcLTZFpIfXGLJrwOnHRBQkGEilkCPLSPXjcRQnToUhoqLCm1wi0qO+2BSRNllGKgPxdE2p2EjULhfn78MgInKJgVQKOVIJTKUqgW+ZiIoQB2eIyChmpJK7uNgUaSmfEO3vQyAicomBVAo5sqn9/juMYlVS3icRFQ/5on1sYYhIm1oglYO6pIc1UkkLTwciCgYMpFLIYeeMiMiH2IwSkQ72tchd4hnD04dEPB+IKBgwkEohxySc1SXlYiyVlDdKRMWCLQoRGRXGuwlyk8SkB9LAWTBEFAzY9aGQI5XIxaYKWa1+OwwiChFSCSyRQkSeUQ+EseUgYxhIJRFPByIKBgykUsgpidOFSsr7JCIiosDCxabIGzx9iIgo2DCQSiHHJMtIZe+MiMh9QjvKkRoi0sHFpsh9hdOneI0hEc8HIgoGDKRSyJH150vItZgBYyLyJU7tJyKjODWb3CWWoWJGKol4OhBRMGAglUJOiSxgL7xN1kglIiKi4qLW1yohvS/ygRLTVydDeDoQUTBgIJVCWkm5FrPTQUS+VBJrTRMRUfEQx/wZSCUiomDDQCqFNPbNiIjcJ7HWNBERFQP21UnE04GIggEDqRTSSkrnrIS8TSIqJmxTiMgbXDCG9MhrpPJcoUJsO4goGDCQSiFHvkhKybgYi50OlkglIl/iPQ0RERUVLjZFIp4ORBQMGEilkFZSAgAl5G0SUTGRD0gREbmH7QbpsQrD/sxIJRFPByIKBgykUsgpKVmoRERFhe0oEREVBwbOSI4nBBEFPgZSKaSVlDo7JeRtEpE/sH0hIh3sg5C7xBqpJaWvTsbwdCCiYMBAKoW0knItFrPHrFZWSSUi75TEWtNE5DsMhhCRJ9h0EFEwYCCVQk5J7LyXxPdMRERERMGHQ/6khfc0RBQMGEglIiIiTbypISJ3sd0gPZw9RUREwYyBVAppJbEjz64pEXmrJLadRERE5F8mdkCIKAgwkEohpyReftnnICJfEhf/YPNCRERExYH3NEQUDBhIJQoBXAyGiIoKV1QmInexX0JEREShioFUCmnsyBMRuY8tJxERFRWWSCUtvHcjomDAQCqFnJKYPCW+Z3ZOichbYptSEttUIjJOtYlgu0FEnmDbQURBgIFUohDAPgcRFRW2L0RE5EtWLo1KGtjnIKJgwEAqhbSSkknFGoZE5EucWkdERETFjfc0RBQMGEilkMMLMBGRdzi1n4i8wWaD9LAMFWlh20FEwYCBVKIQIO90sHdKRL7E2xoiIvKdtiml/X0IREREHgv39wEQkfeYMUZEvsQmhYi8wdlBpKda6Vgse7E7kmMj/X0oFGBMbDqIKAgwkEohR9L4dyjjDQsR+RSn9hMRURFKKRvn70OgAMR7GiIKBpzaT0RERDJcbIqIjGLcg4iIiEoSBlKJQgwL+BORLzFGQkTuYrtBRJ5g20FEwYCBVAo9nJJKROQVSdaOsiElIiKiYsAuBxEFAQZSiYiISIb3MUTkDU6OISJPsLQQEQUDBlKJQgxvXojIl3hLQ0RERMWBk2CIKBgwkEohRz6SyasxEZG7xOn8HJwhIiKi4sA7NyIKBgykEhERkQxvZIiIiKi4MSOViIIBA6lERESkifc0RKSHNQ2JyFfYnhBRMGAglUKOfLVp/x2Hv1g5D5eIvCS2nWxSiIiIqDiUxHs3Igo+DKQSERGRDDNCiMgbVo7qEhERUYhiIJWIiIg0MaRKRERExYEZqUQUDBhIpZDD6y8RkZc4tZ+IiIiKHe/kiCjwMZBKIa0kXoqtDHsQkZeYEUJERETFjf0PIgoGDKQSERERERERkV/9r3llAECNMrF+PhIiIm3h/j4AIl/jSCYRkXfYjBKRYSoNBufGEJEnOtQqg0XPd0OVUjH+PhQiIk0MpFJIkxhVJSJyG9tOIiIi8oc65eP9fQhERLo4tZ8oxFiZBkJEXmIYlYiIiIiIyBkDqRRyJIYAiIiIiIiIiIjIxxhIpZDGkCoRkfs4s5+IiIiIiMgZA6lEREQkw8x+IiIiIiIiZwykUsgp6ZlULJFKREREREREROR7DKQSERGRTEkfkCIi49hcEBERUUnCQCqFNAYDiIiIiIiIiIjIFxhIpZBT0mOnVisn9xMREZEfsStCREREIYqBVCIiIpJhNj8REREREZEzBlIppDEYQETkPqnE5/YTERERERE5YyCVQg+jp0RERERERERE5GMMpBIREZGMOB7FustEREREREQ2DKRSSOP0VCIi97HlJCIiIiIicsZAKoWckh4AYPIYEfmSxHIpRKRDrY2wgp0RIiIiCk0MpBIREZGMGBjh1H4iIiIiIiIbBlIptDGRiojIbWw6iYiIiIiInDGQSiGnpM9CrZIc4+9DIKIQwqn9RERERERENuH+PgAi8o2fHmqPQxey0DaltL8PhYiCnBg75dR+IiIiIiIiGwZSiUJEpzpl0alOWX8fBhGFAGahEpE3OP5CREREoYpT+ynkSEJ1P4YCiIiIiIiIiIjIFxhIJSIiIiIij3DQmoiIiEoSBlKJiIiIiIiIiIiIXGAglUKOWNqPdf6IiIiIiIiIiMgXAiqQmpGRgdGjR6Np06aIj49HUlIS2rZtiw8//BB5eXle7//s2bN44YUXUL9+fcTExKB06dLo2rUrpk6damhV4kOHDuGRRx5BzZo1ER0djXLlyqFv3774448/dLdLTU3Fjz/+iOeeew7dunVDYmIiJEmCJElITU31+n0RERERERERERFR0Qr39wHYHT16FN27d3cEFmNjY5Gbm4uNGzdi48aNmD59OhYvXozk5GSP9r9p0yb07dsXFy9eBADEx8cjIyMDK1euxMqVK/H777/j77//RmRkpOr2c+bMwaBBg5CdnQ0ASExMxKVLl7BgwQIsWLAAw4YNw9dff62aATl69GhMmzbNo+MmIiIiIiIiIiIi/wuIjNSCggIMGDAAqampqFSpEhYuXIisrCxkZ2djxowZSEhIwJYtW3DPPfd4tP+0tDTcdNNNuHjxIho0aIANGzYgIyMDWVlZmDhxIiIiIjB//nw8++yzqtsfOXIEgwcPRnZ2Njp37ox9+/YhLS0NaWlpGDVqFADg22+/xQcffKC6vclkQu3atTF48GCMHz8e48aN8+h9kDGSxr+JiIiIiIiIiIg8FRCB1GnTpmHHjh0AgD/++AO9evUCYAtA3nHHHfjyyy8B2LJCFy9e7Pb+J0yYgDNnziAmJgZz5sxBmzZtAACRkZF44oknMGbMGADAV199hf379zttP2rUKGRlZaFixYqYPXs26tWrB8CW1TpmzBg8/PDDAIB33nkHly9fdtp+ypQpOHjwIH755Re88sor6NChg9vvgYiIiIiIiIiIiPwnYAKpANCjRw907NjR6fE777wTNWvWBAB8//33bu/fvo24H9FTTz2F+Ph4mM1mTJ8+XfZYVlaWowbqY489hlKlSjltP2LECABAeno6Zs2a5fR4WFiY28dMREQUCGIjA6YKEBEFIK7rSURERCWJ3wOp2dnZWLVqFQCgf//+qs+RJAn9+vUDACxYsMCt/e/btw/Hjh3T3X98fDy6du2quv+VK1fi6tWrutunpKSgYcOGHh0f+Z7YoWfnnojIMyNvaoSHr6uF+hUT/H0oRBRkDKzhSkRERBSU/B5I3bNnDywWCwCgSZMmms+zP3bmzBlcunTJ8P537tzptA+9/e/evdur7Xft2mX42IiIiALVg11q4rUbGvr7MIiIiIiIiAKG3+frnTp1yvHvKlWqaD5PfOzUqVMoXbp0kew/PT0dmZmZiI+Pl22fnJyMmJgYl9uLr+drubm5yM3Ndfx3enp6kb1WMJOYhkpERERERERERD7m94zUjIwMx79jY2M1nyc+Jm5T1Pu3/1tvW/Fxd47NXePGjUNSUpLjf9WqVSuy1yIiIiIiIiIiIqJCHgVSv/vuO0iS5PH/5s2b5+v3USKMGDECaWlpjv8dP37c34cU8CQwO5WIiIiIiIiIiLzn96n9CQmFi1hkZ2drPk98TNzG3f0nJia6tX/7v/WOTXzcnWNzV1RUFKKioops/0RERERE3uJaU0RERBSqPAqk3nXXXbjppps8ftGkpCTHvytXruz498mTJ9GsWTPVbU6ePKm6jSvK/WsFUu37T0xMdNRHFbe/fPkyrl69qlkn1b69O8dGRERERBTMWJqeiIiIShKPAqm+zIxs2LAhTCYTLBYLdu7cif79+6s+b+fOnQCAihUrGl5oCgCaNGki20fDhuorENv336hRI93t27Ztq7t948aNDR8bFT127omIiIiIiIiIyBf8vthUbGwsOnfuDACatVOtVivmz58PAOjTp49b+69Xrx6qV6+uu/+srCysWLFCdf9dunRxZKFqbX/06FHs2bPHo+Mj32PwlIiIiIiIiIiIfM3vgVQAuP/++wEAS5cuxbp165we/+2333D48GEAwH333efWviVJcmwzY8YMpKamOj3niy++QGZmJsLCwnD33XfLHouLi8PAgQMBAJMmTUJaWprT9u+99x4AW33UW265xa3jIyIiIiIiIiIiosAXMIHUpk2bwmq1YuDAgVi8eDEAwGKx4LfffsPw4cMBAP3790fPnj2dth89ejQkSYIkSaqB0hdffBEVK1ZEdnY2brzxRmzatAkAkJeXh0mTJmHkyJEAgIcffhj16tVz2n7s2LGIi4vD6dOnMWDAABw4cACALZN17NixmDx5MgDgjTfeQHJystP2+fn5uHDhguN/YjD28uXLssfy8/Pd+ejIBSanEhERERERERGRL3hUI9XXwsPD8ffff6NHjx5ITU1Fr169EBsbC4vFgpycHABAy5YtMX36dI/2n5SUhNmzZ6Nv377YvXs32rRpg4SEBOTk5DgCl3369MHHH3+sun3NmjXx66+/YtCgQVixYgXq1auHpKQkZGZmwmw2AwCGDRuGl156SXX7VatWoUePHqqPtWrVSvbfS5cuRffu3T16n2QjMXxKREREREREREQ+FhAZqQCQkpKC7du3Y9SoUWjSpAkkSUJERARat26NCRMmYO3atarZnka1bt0au3btwnPPPYe6desiPz8fcXFx6NKlC6ZMmYK5c+fqLqB1ww03YPv27Rg+fDhSUlKQk5OD5ORk9O7dG7///ju++eYbSCzOSUREREQlnNVq9fchEBERERUJycqeTtBKT09HUlIS0tLSkJiY6O/DCRiTlh3Ce/P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      "text/plain": [
       "<Figure size 1600x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print (\"Reading\",h5_file)\n",
    "hf = h5py.File(h5_file, 'r')\n",
    "\n",
    "NFFT = hf[\"data\"].attrs['NFFT']\n",
    "fc = hf[\"data\"].attrs['fc']\n",
    "fs = hf[\"data\"].attrs['fs']\n",
    "gain = hf[\"data\"].attrs['gain']\n",
    "t_int = hf[\"data\"].attrs['t_int']\n",
    "\n",
    "freq = np.linspace(fc-(fs/2), fc+(fs/2), NFFT)/1e6\n",
    "\n",
    "len_data = hf[\"data/timestamps\"][()].shape[0]\n",
    "len_cal_data = int(len_data/3)-1\n",
    "\n",
    "ant_index  = np.where(hf[\"data/obssource\"][()]==0)[0][0:len_cal_data]\n",
    "cold_index = np.where(hf[\"data/obssource\"][()]==1)[0][0:len_cal_data]\n",
    "hot_index  = np.where(hf[\"data/obssource\"][()]==2)[0][0:len_cal_data]\n",
    "\n",
    "ant_data = hf[\"data/radio\"][()][ant_index, :]\n",
    "cold_data = hf[\"data/radio\"][()][cold_index, :]\n",
    "hot_data = hf[\"data/radio\"][()][hot_index, :]\n",
    "temperature = hf[\"data/temperature\"][()][ant_index]\n",
    "\n",
    "ant_tstamps = hf[\"data/timestamps\"][()][ant_index]\n",
    "print (ant_tstamps[0])\n",
    "ant_tstamps = ant_tstamps - ant_tstamps[0]\n",
    "\n",
    "hf.close()\n",
    "\n",
    "ant_calibrated = ant_data/(hot_data - cold_data)\n",
    "cold_calibrated = cold_data/(hot_data - cold_data)\n",
    "hot_calibrated = hot_data/(hot_data - cold_data)\n",
    "\n",
    "mean_ant_power = np.mean(ant_calibrated, axis=1)\n",
    "mean_ant_spectrum = np.mean(ant_calibrated, axis=0)\n",
    "\n",
    "mean_cold_power = np.mean(cold_calibrated, axis=1)\n",
    "mean_cold_spectrum = np.mean(cold_calibrated, axis=0)\n",
    "\n",
    "mean_hot_power = np.mean(hot_calibrated, axis=1)\n",
    "mean_hot_spectrum = np.mean(hot_calibrated, axis=0)\n",
    "\n",
    "# plt.figure(figsize=(16,9))\n",
    "# plt.semilogy(mean_ant_spectrum)\n",
    "# plt.semilogy(mean_cold_spectrum)\n",
    "# plt.semilogy(freq, mean_hot_spectrum)\n",
    "\n",
    "plt.figure(figsize=(16,9))\n",
    "plt.plot(freq, mean_ant_spectrum-mean_cold_spectrum)\n",
    "\n",
    "# plt.figure(figsize=(16,9))\n",
    "# plt.hist(mean_ant_spectrum-mean_cold_spectrum, bins=100)\n",
    "\n",
    "# plt.figure(figsize=(16,9))\n",
    "# plt.semilogy(ant_data.T)\n",
    "# plt.semilogy(hot_data.T)\n",
    "# plt.semilogy(cold_data.T)\n",
    "\n",
    "# plt.figure(figsize=(16,9))\n",
    "# plt.plot(ant_tstamps, mean_ant_power)\n",
    "# plt.plot(ant_tstamps, mean_cold_power)\n",
    "# plt.plot(ant_tstamps, (mean_ant_power-mean_cold_power)*100/mean_ant_power)\n",
    "\n",
    "# plt.figure(figsize=(16,9))\n",
    "# plt.plot(ant_tstamps, temperature)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fbab0497050>]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1600x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t_array = []\n",
    "rms_array = []\n",
    "for i in range(1, len_cal_data):\n",
    "    mean_ant_spectrum = np.mean(ant_calibrated[0:i], axis=0)\n",
    "    mean_cold_spectrum = np.mean(cold_calibrated[0:i], axis=0)\n",
    "\n",
    "    ant_rms = np.std(mean_ant_spectrum-mean_cold_spectrum)\n",
    "    # ant_rms = np.std(mean_ant_spectrum)\n",
    "    # ant_rms = np.std(mean_cold_spectrum)\n",
    "\n",
    "    rms_array = np.append(rms_array, ant_rms)\n",
    "    t_array = np.append(t_array, ant_tstamps[i])\n",
    "\n",
    "plt.figure(figsize=(16,9))\n",
    "plt.loglog(t_array, rms_array)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.11.0 64-bit",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.0"
  },
  "vscode": {
   "interpreter": {
    "hash": "e7370f93d1d0cde622a1f8e1c04877d8463912d04d973331ad4851f04de6915a"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}