L1JetTagModel_hls_config.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "55179fac",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import plotting\n",
    "import os\n",
    "import tensorflow as tf\n",
    "\n",
    "#  The path below is needed when running on Scully computer.\n",
    "os.environ['PATH'] = '/home/xilinx/Vivado/2019.1/bin:' + os.environ['PATH'] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2321706b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras.models import load_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2642e0b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "15d4d971",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = load_model('L1JetTagModel.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "599b708e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/users/russelld/hls4ml-tutorial/hls4ml-tutorial\r\n"
     ]
    }
   ],
   "source": [
    "!pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6d90e37b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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X9xMueIrfxsTEMBgMXJb0+PHjd+7cOXbs2N27d589e3b79m2ygPzy5cvnzp1ra2tLFskXU8eHz+cLBAK5JHcAVEP4Ep0kl1eVX45HvOHKx4gp4nP16lXy7mpvb28Wi6Xorfj+++9dXV3xGh0dHRcvXuzl5fXOO+/gserDhw8TBBETE6Orq+vk5HTlypWioiJjY2N/f388mwHbsmWLyA4Zso7P6dOn8cO1t27d+vvvv4+4A2G6AFA5pOR6TKotxyMvFNmKhQsX4oM4+YLEBFRucGKietmTqVOn4meZDnbixAl5lvKktrKysnfffVe+FTAAoCzFDn6T5XikjtDY2Ph8GErLSrJvhdQqKirmzp0bFBS0adOmIR/NDGR36tQpGo0WEhKSlpZWXFws/NHly5cLCwvPnj2LHz3i5uYmPE2ko6MDl3bR1tZmMpkqufWns7MzMTExPj5epP3mzZt+fn5xcXFRUVHHjx+XS0xSaWkpOWu3rq4uMzNT+K/jt99+S0tL+/DDD2k0mvTTUIQPn+R76Kvycjxyodqt+P3332fMmDFjxoyysjIFrULRp3KSV7CRe5BRldZls9ki7YcOHTp48CB+3dbWhifffvrppyKLbd269cMPP5Sie7IbruZPbW2ttrY2rlne19c3a9asQ4cOyRiT1NPTY2VlJVzz+8aNG4N3C0EQ06ZNg5rfQEoKTUxdXV2enp6qCiJLze8rV66I7BYLCwt9fX0ajVZYWCjcnpGRsW/fPim6Jxf4Oq9IEvH09FywYAH5NisrS0dHp7u7W5aYpNjYWG9vb5GHESQnJ+PjJmFQ8xtQkRQVbBQUZLQEAkFsbGxSUpJwo4mJCT4nWrdu3dOnT8l2BoMhXeEduRi86paWlpKSEnd3d7LF3d29t7cX51/pYpJ++uknU1NTa2trkfZt27YlJyfL8WuCxAQklZeXt2XLlri4uCVLliQkJOCLEpLXfpFXAZlRFbSRzpEjR7q6ugb/+a1cuTI+Pr69vT0wMHC4aWJD7iUxdXXQMOVrpIYf5I2nv2D4dVVVlSxhEUIcDufgwYNDjnVqa2vb29vjajzyIXz4BKdyryEJT+W+/vprFxcXHo9HEASbzZ45c6a7uzt+WpmEtV/kVUBmxII2JKlP5RYvXhwQECCymJ2dHUEQAoEAV8iJjY3F7dnZ2eRZzHB7SUxdHWKY8jUjdhsbXPMnMzMTIXThwgXhxSZMmPDee+9JHRPbunXr7du3CYKIi4sTOZUjCCIlJUVfX39gYIBsgVM5oFhtbW1MJjMmJgaXWDAyMtq1a1d5eTn+k5aw9ou8CsiMqqCNdOrr68kZ9iLodPqZM2csLS33799fUFAg/JGYvSSmrs5w5Wuk7nxTUxNCSEdHR7hRR0eHvItAOmVlZUZGRjY2NsMtYGpq2tXVhY/XZAeJCYysurqaw+HgUy0M14T66aefRhVHXgVkRlXQZrQ4HE5DQ4OYYvDGxsb5+fkTJkyIiIh49OgR2S5+Lw1XV4csX7Nhw4YNGzbcu3ePLF8jHdwBkXu5uFzutGnTpI7J4XAOHDggfGPmYAYGBgghGdMfieoTLAEVPHnyBCGEb/fDjI2N8VmYLGGpWQYHz1kTfwe4g4PDgQMHoqOjAwICQkNDcbqRbi/JsXwNhutwCd+VyePx+vr6ZKmHkZiYuGzZMvJoqK2tjc/n19XVTZw4cdasWbgR3+8pS0oVBokJjOyNN95ACA1+fqHstV8oWAZHX1+fwWB0dnaKXywqKur69evHjh1rbm5OSEhA0u4lOZavwfBc0MePH5Mt+PWcOXOkC4gQqq6uzsjIEGm0s7Ozs7P79ddf8Vuckd98802p1yIMTuXAyJycnHR1dc+fP0+2NDU1cbncFStWIBkq2EhdBkf84YyMaDTa/PnzRQ5zCIIgK5qSDh069M4777S0tOC34vfScORevsbCwsLd3b2srIxsKSsr09TU9PPzkzrm9evXhUemd+7ciQe/yayEEGKz2WZmZvJ6QBkkJjAyY2Pj1NTUa9eulZSU4JYDBw6EhoYuWLAAjbKCjewFZEYsaCO74ODga9euEUK3WTQ0NDQ3N4uU1mEwGPn5+eRolPi9NFxdHTHlazZt2uTq6vrnn3+K6eqQNX+++uqryspKnDV4PN4333yTmJhoamoqS8wRVVVVyfMuMeFECNMFXkOSz/wuKCjw8vLavHkzk8lMT0/HcwWI0VSwkUsZHDEFbURIPV2Ax+PNnDkT39KBN/z9999HCPn4+FRUVIj8eFFRUVZWlvi9JL6uzpDlawiC8Pb2ptPpO3bsGK7nw9X8IQiipqYmKCgoPj4+ODg4MzOT/LJkiUkij5hIXC7X0NDw3r17wo2yTBeAxPS6U2bZEyUXkJHllpSampoVK1YorGuSKi8v37NnD/VjJiQkpKenizTCPCYAZIXrspLs7e1DQkLkeLFMCj09PYWFhWRRQ8rGvHjxokAgGDwjXJYaqnBVDigPWUCGgo9U2rhxo6urq52dHVl5PSgoqLi4+NKlS0uWLFFJl27fvp2cnCzfIlxyj1lXV9fd3Z2amkq2/P7775cuXXr+/PngC5SjIHz4BKdyryGlncopv4AM/D6PFWjMVbAE40ZiYmJiYqKqewHGBhhjAgBQDiQmAADlQGICAFAOJCYAAOUMMfidk5Oj/H4AVWlsbETj9Eu/fv06GqebNv4JX6LDl1cBAEDJRKYL0AhVPC4NjD+BgYEIDk+AnMAYEwCAciAxAQAoBxITAIByIDEBACgHEhMAgHIgMQEAKAcSEwCAciAxAQAoBxITAIByIDEBACgHEhMAgHIgMQEAKAcSEwCAciAxAQAoBxITAIByIDEBACgHEhMAgHIgMQEAKAcSEwCAciAxAQAoBxITAIByIDEBACgHEhMAgHIgMQEAKAcSEwCAciAxAQAoBxITAIByIDEBACgHEhMAgHIgMQEAKAcSEwCAciAxAQAoBxITAIBy1FXdATBWlZeXX79+nXx77949hFBaWhrZ4uzs7O7uroKegbGPRhCEqvsAxqSSkpKFCxdqaGjQ6aLH3a9eveLz+VeuXPH09FRJ38BYB4kJSOnVq1dmZmbPnz8f8lNjY+PW1lY1NTUl9wqMDzDGBKREp9NXr16tqak5+CNNTc01a9ZAVgJSg8QEpBccHMzj8Qa383i84OBg5fcHjBtwKgdkYmVl9eTJE5FGS0vLJ0+e0Gg0lXQJjANwxARkEhoaqqGhIdyioaERFhYGWQnIAo6YgEzu3bv35ptvijT+9ttvc+fOVUl/wPgAR0xAJnPmzJk7d67w8ZG1tTVkJSAjSExAVmvXriUvwGloaKxbt061/QHjAJzKAVk1NDRMnz4d/yLRaLSHDx9aWVmpulNgbIMjJiArS0tLR0dHOp1Op9MdHR0hKwHZQWICchAaGkqj0eh0emhoqKr7AsYDOJUDcsBms83MzBBCzc3NkydPVnV3wNhHyIDFYqm6+wAAKmKxWLLkFjmUPYH0NObs378fIRQbGyvHmOXl5TQazc3NTY4xpXD9+vWMjAz4nVStoKAgGSPIITEFBgbKHgQoU25uLpL3F7d06VKEkK6urhxjSicjIwN+J1WLEokJAESNlATGDbgqBwCgHEhMAADKgcQEAKAcSEwAAMqBxAQkUlpa6uTk9PjxY1V3RM4uX75cWFh49uxZXCPBzc1tYGCA/LSjoyMlJUVPT09bW5vJZL548UL5Pezs7ExMTIyPjxdpv3nzpp+fX1xcXFRU1PHjx+USk1RaWmpubo5f19XVZWZmKnkmNlyVAxLp6OhoaGjgcDiKW0VLS8uUKVMUF3+w7OxsgiA2btyIEPL09DQ3N6+srExISCAfQjVp0iQmk9ne3s7n81NSUpTZN6ygoIDFYrFYrM2bNwu319XVeXh4FBcXOzs7v3z50tbWtq+vLyYmRpaYpN7e3vXr15OZyNbWtr+/f+fOncLP5lI0OGICEvHz82tqalJcoaXu7m4l32dXUlJSUlKCsxJCyMTExNTUVF9fPz09/cKFC8JLWllZzZgxQ5l9I/n4+Bw+fHhw+yeffOLo6Ojs7IwQYjAYH3/88fbt23t6emSJSfq///s/a2tr4ZZ58+bp6OhkZWWNpu8ygcQEVI/D4QQEBDx48EBpaxQIBLGxsUlJScKNJiYm+Jxo3bp1T58+JdsZDMaECROU1jcRg1fd0tJSUlIi/DBRd3f33t7ekydPSh2T9NNPP5mamookJoTQtm3bkpOTlfYdQWICEnn+/HlmZuaNGzcQQrW1tdu3b58xY0ZHR0dYWJixsfG8efMePnyIELp7925CQoK1tXVTU9PKlSsNDQ3nzZtXXV2NEGKxWLq6upaWlgih7u7ujIwMBoOB/+cXFBTU19ez2ewNGzbs3bsXIVRZWWlpafnDDz8oaHOOHDnS1dU1+M9v5cqV8fHx7e3tgYGBfD5/yJ/Ny8vbsmVLXFzckiVLEhIS+vv7xe8ThBBBENnZ2Rs3bnR0dPTy8vrjjz9k6fzdu3cRQjNnziRb8OuqqipZwiKEOBzOwYMH4+LiBn+kra1tb2//5ZdfyrgKScl+E68sEYBK+Pv7+/v7S758ZWUlvgkuLy+PIIiWlpaFCxcihKKjo3///ffi4mI9Pb1Vq1YRBFFeXm5tba2mphYbG3v16tX8/HwjIyMtLa3m5maCILy8vKZOnUqGtbe3d3Jywq+XLVtmZWVFflRUVDRx4sRTp06NdtMk/J1cvHhxQECASKOdnR1BEAKBAG9dbGwsbs/OzsajvwRBfP311y4uLjwejyAINps9c+ZMd3f3V69eidknBEGkpqYeO3aMIIiBgQEnJyczMzMOhyPhFr18+RIhtHnzZrIlMzMTIXThwgXhxSZMmPDee+9JHRPbunXr7du3CYKIi4szMzMT+TQlJUVfX39gYGDE+Ejmm3jhiAmMzMXFhclkkm/NzMwcHBwQQrt377a2tl64cKGbm9utW7cQQm5ubo6OjjQaLS0tzcPDw9fX9+DBg1wuNzs7GyGkpaUlHFZdfdhrL97e3j09PSEhIQraovr6eiMjoyE/otPpZ86csbS03L9/f0FBgfBHbW1tTCYzJiYGPxjGyMho165d5eXlJ0+eFLNPmpubMzIy8Aiampqav79/a2trYWGh1J1vampCCOno6Ag36ujoPHv2TOqYCKGysjIjIyMbG5vhFjA1Ne3q6sLHa4oGV+WARERyCi7yTWYWXV1dcuRVTU1NXV2dfKaTj4+PpqbmnTt3RrtGxT3Il8PhNDQ0TJo0abgFjI2N8/Pz3dzcIiIi7OzsyPbq6moOh4PPRrFly5YhhH766afQ0NDh9klVVRWfz4+OjiZ/KjIycuLEiVL3H3eAy+UKN3K53GnTpkkdk8PhHDhw4OzZs2KWMTAwQAg9e/ZMTPKSF0hMQLE0NDTMzc2FJwepHJ/PJwji1atXYpZxcHA4cOBAdHR0QEBAaGgoTjf40Z7t7e3kYsbGxvhEVUyo+vp6bW3tb7/9Vk7dR3/7298QQl1dXWQLj8fr6+ubPXu21DETExOXLVtGHg21tbXx+fy6urqJEyfOmjULN9LpdISQLClVcpCYgMLxeDxZ/mbkTl9fn8FgdHZ2il8sKirq+vXrx44da25uTkhIQAi98cYbCCFySJskfuu0tLQaGxsbGxunTp1KNrLZbGNjY+n6j+eCCk92xa/nzJkjXUCEUHV1dUZGhkijnZ2dnZ3dr7/+it/ijDz4MYKKAGNMQLHa2tpaW1v9/f0RQurq6r29vQKBAH/U29tLHrbQ6XSRq2Dij2hkQaPR5s+fL3KYQxDE4HlAhw4deuedd1paWvBbJycnXV3d8+fPkws0NTVxudwVK1aIWZ2NjQ1BEDt27CBb2trajh49KnX/LSws3N3dy8rKyJaysjJNTU0/Pz+pY16/fl147Hnnzp148JvMSuivAsqGhoZSr0VykJiARPr6+hBC+GoOQojH4yGEyBM0DofT19dH/DVXuL+/nxxU2r179zqI36gAACAASURBVJo1axwdHRFCNjY2nZ2dqamp9+/f/+KLL/r7++/fv//LL78ghMzNzVtbW2tra8vKyrhcbnFxsYGBQV5enoI2Jzg4+Nq1a4TQbRYNDQ3Nzc3kBmIMBiM/P58cjTI2Nk5NTb127VpJSQluOXDgQGho6IIFC8Tsk0WLFjk4OJw+fdrPz++777777LPPVq9eHR4ejhDatGmTq6vrn3/+KaareCxJpGNfffVVZWUlzho8Hu+bb75JTEw0NTWVJeaIqqqqcDlAZZDlkh5MFxijRjtd4MaNG8uXL0cIeXh4VFVVlZaW4okzmzZtamtrO3nypJ6eHkLo888/HxgYiIyM1NDQCA8P9/f3X79+fVJSkkAgwHG6urqWL1+uo6Pj5ORUU1MTERERFhZWVFREEERdXZ2lpeWsWbNyc3MJgigtLZ0yZcr58+dHu2kS/k7yeLyZM2dWVVXhtwUFBe+//z5CyMfHp6KiQmThoqKirKws8m1BQYGXl9fmzZuZTGZ6evqrV69wh8XskxcvXqxevXry5MkmJiZr165tamrCoby9vel0+o4dO4brZ3l5+fr16xFCkydPZrFYLS0t5Ec1NTVBQUHx8fHBwcGZmZm4GzLGJJFHTCQul2toaHjv3r3hwgpDMk8XgMT0OhptYhqVyMhIBoOhoOAjkvx3sqamZsWKFYruz4jKy8v37NlD/ZgJCQnp6ekSLix7Ynp9T+V6e3tV3QWgSvb29iEhIXK8WCaFnp6ewsJC8n49ysa8ePGiQCAYcka4gozDq3KdnZ179+4VCASpqalDLvDtt9/m5OTcu3evoaFBwphdXV3p6enl5eUdHR1WVlbq6ur42oS5uflwt2jLbvCGXLx4MSsr6+LFiwghZ2dnOp3O4XDwlN+oqCh8FVnl+vv78fV4Go2m6r6MICgoqLi4+NKlS0uWLFFJB27fvp2cnMxgMKgcs66urru7e7i/JkWR5XCLgqdy586dw09oGDzdnjQwMODq6jp4xv1wioqKzMzMXF1dHz16hFva29vXrVuHEEpLS5O9z0MabkPwzaXTp08nW37++eclS5aoqant2rWLHM0RT3Gncrh6EULok08+uXHjhiJWIR4FfydfQ4gKz5WjFB8fH09PT/GPFVNTU5s6dar4yxakR48erVq1ytraurS0lJzNPGnSpGPHjvH5fMXVJxpuQ/DDSIQnuTk4OBQVFa1du/bLL7/U1tbetWuXgrokicTExMTERBV2AIwP43CMSb4VKtauXdvT05OSkkJmJVJSUpLIbQHyNeSGDHl+RKfTs7KyJk+evHv3bjw7GYAxTUmJ6eLFi5s2bfr444+dnZ2FhxtHW0GivLx88uTJNBqN/LdcUlKip6eXnJw8Yh++//77qKioHTt2fPTRR+SUOSS2wsadO3cqKysNDAwWLVo0+NO///3vW7ZsUf6GDElfXz8wMJDL5cJDaMF4IMt5oITn8ydOnAgODsbDH7t370YIlZSUENJWkMBl9M6dO4ff8vl8Dw8P4dUNWdLh1KlTTk5OeMIbm802MTEhx5jEVNj417/+hRB69913xW+gMjcE30gxZ86cwd3AdcLCwsLE95ZQ8HQB1YIxJipA1J/H1NbWpq+v//DhQ/Ktr6/v3bt3nz17pq2t/d1335FL4kn6J06cIAgCl0lns9n4ow8++GDmzJn4NZ7o5efnh99euHBBePIbMdTfM4fDmTJlypkzZ8gWX19f4cHv4UrMpKenI4S8vLzEbKAyN4QQm5h+/PFHhJCnp6eY3mKQmIBCyZ6YFD74XVlZ+erVK3z3I0LIxMQkPz8fIfSf//xHigoSCKGJEyeuXbs2KysL3wbJYrH+8Y9/iO9DRUVFS0vLW2+9RbZoamoKLzBchY3p06cjhB49eiQmuHSlMKTbEPHw7ebkveDiNTY25uTkyLI6arp+/TpCaFxu2mtF4Ynpt99+G3JWi3QVJLCoqKiMjIyTJ0+GhYWpqamJKayD3bt3DyE0ePR6RLj2/qNHjwYGBoaraqbMDREPb6atra0kC1dXV+PpCOPSON6014TCB7/19PRevnwpUvWOx+NJV0ECe/PNN93c3P7973+zWKzVq1ePuDw+PpLictXs2bNnz549MDBQUVEx3DLK3BAxCILIzc3V09PDx2sjglM5oDiy/CZjCk9M9vb2CCEmk0lWsfjzzz9zcnKkqyBBioqKunPnzokTJ/CN3eK9/fbbCKHc3Fyy5dWrV2TxDTR8hQ01NbV//vOfCKH4+Hh877iw7u5uPKautA1BCA33re/bt+/OnTt79+61sLCQJA4AVKbwxOTi4rJ06dKCggJPT8/MzMxPP/00Li5u1apV0lWQIMP6+/tPmjRp0aJFuKqesMElHVxcXN57772jR49mZ2dzudyamprKysrnz5+fPn16xAob77333sGDB+/cuePh4VFTU4MbOzs7z507FxER8f777ytzQ9BfA0nC86eePHny0Ucfffrppx9//PGGDRuG3AoAxhhZDtgkPGzmcrmbNm2ysLAwNTXduHFjZ2cn+ZEUFSTIn42Pj3/69KnIuoYr6dDZ2RkeHm5qajpt2rTPP/88KioqPDz8ypUrAoFAkgobDx48iImJcXJyMjc3d3Bw8PDwOHToEB47U+aG/Pjjjx988AH+4lxdXT09Pb29vZcuXRobG1tbWzviF0GCq3JAoZDMV+VohAwnhDk5OUFBQbJEACoREBCA/vfcdtyA30kqoNFoLBYrMDBQ6gjj8JYUAMBYB4kJgNfaw4cPFXcvutQgMYHX2uXLlwsLC8+ePYsfPeLm5ib8pKmOjg5cyEVbW5vJZL548UL5Pezs7ExMTMS3EAi7efOmn59fXFxcVFTU8ePHJQ/Y09NjYGBA+4ufn5+2traYmHV1dfhBxHLZHAmNt7IngApaWlqmTJlChSDiZWdnEwSBiz16enqam5tXVlYmJCSkpaXhBSZNmsRkMtvb2/l8fkpKikI7M6SCggIWi8VisUTqEdbV1Xl4eBQXFzs7O798+dLW1ravry8mJkaSmEeOHPHz85sxYwZ+6+XlJT6mra1tf3//zp07yd2iDLKMnMMVkDFKoVflurq6JLlfT0FBJP+dvHLlishOsLCw0NfXp9FohYWFwu0ZGRn79u2TojNygSeIiNwy6enpuWDBAvJtVlaWjo5Od3f3iNEGBgY8PDyELyhLGDM5ORkfN0kCQc1vQCkcDicgIODBgwcqDyKeQCCIjY1NSkoSbjQxMcHnL+vWrcOVQjEGgyHfIl+jMnjVLS0tJSUl7u7uZIu7u3tvby8uLyFefn5+bW3tqlWrDh8+3N3dLXnMbdu2JScnK/RLEQaJCYgzZJ0pFoulq6uL71vu7u7OyMhgMBjOzs4IoYKCgvr6ejabvWHDhr179969ezchIcHa2rqpqWnlypWGhobz5s2rrq4eVRAktmaWdI4cOdLV1WVtbS3SvnLlyvj4+Pb29sDAQJEHcIrfJ2JqbyGECILIzs7euHGjo6Ojl5fXH3/8IUvn8Q1eeIochl9XVVWN+LNXr17lcrn5+fnR0dHW1taXL1+WMKa2tra9vf2XX34pS89HQZbDLTiVG6MkPJUbrs4UQRBeXl5Tp04ll7S3t3dycsKvly1bZmVlhV+Xl5dbW1urqanFxsZevXo1Pz/fyMgI3+EseRBCbM0sERL+Ti5evDggIECk0c7OjiAIgUCAq2jFxsbi9uzsbPIsRrraW6mpqceOHSMIYmBgwMnJyczMjMPhjNhJbHD1m8zMTITQhQsXhBfDz6SQJCCfz79582ZYWBidTmcwGPhRcZLETElJ0dfXH65GkDAEp3JAQdra2phMZkxMDK7KYGRktGvXrvLycnxsr6WlJbzwcKUX3NzcHB0daTRaWlqah4eHr6/vwYMHuVxudna25EEQQt7e3j09PSEhIbJvF1ZfX29kZDTkR3Q6/cyZM5aWlvv37y8oKBD+SMw+MTMzc3BwQAjt3r3b2tp64cKFbm5ut27dQgg1NzdnZGSEhoYihNTU1Pz9/VtbWwsLC6XufFNTE0JIR0dHuFFHR+fZs2eS/Li6uvq777579OjR3Nzc/v5+JpMpYUxTU9Ouri6RG/IVBBITGJqYOlOjiqOmpqaurk7WnPHx8dHU1CQfID6qOKP9keFwOJyGhgYxRWaMjY3z8/MnTJgQEREhXI1L/D4ZrvZWVVUVn8+Pjo7esGHDhg0b7t27FxkZKfw4idHCHRCpN8/lcqdNmzaqOL6+vr6+vrW1tRLGNDAwQAhJmP5kBNMFwNBkqTMlhoaGhrm5ufBcIeXD16SGKymBOTg4HDhwIDo6OiAgIDQ0FKcb6fZJfX29tra2HJ+siR8giK/WYTwer6+vT5JKOyLc3Nx+/vlnCWPi+8xlSamSgyMmMDRZ6kyJx+PxZA8iC319fQaDgYsUixEVFRUWFnbr1i1y/o50+0RLS6uxsbGxsVG4kc1mj7rff8FzQR8/fky24Ndz5syRIhruvCQxcUbGj3pVNEhMYGji60ypq6v39vaSNa16e3vJAxA6nT7c9SyEUFtbW2trq7+//2iDiD/AGRUajTZ//nyRwxyCIMiqx6RDhw6988475DN1pKu9ZWNjQxDEjh07yJa2tjZcGF46FhYW7u7uZWVlZEtZWZmmpqafn99oQ5WXl4eFhUkYk81mm5mZGRoaSt1zyUFiAkMTX2fKxsams7MzNTX1/v37X3zxRX9///3793/55ReEkLm5eWtra21tbVlZGR6z6O/vJweVdu/evWbNGkdHx1EFEV8zSwrBwcHXrl0jhG6zaGhoaG5uFql+xWAw8vPzydEo6WpvLVq0yMHB4fTp035+ft99991nn322evXq8PBwhNCmTZtcXV3FP3t1yLJcX331VWVl5a+//orX+8033yQmJpqamoqPWVFR8fbbb+/fvx//Mzh37pyOjg5ZOlVMTKyqqmrp0qUj7Fl5keWSHkwXGKMkn/k9ZJ0pgiC6urqWL1+uo6Pj5ORUU1MTERERFhZWVFREEERdXZ2lpeWsWbNyc3MJgoiMjNTQ0AgPD/f391+/fn1SUhL5HHPJg0hSMwuT8HeSx+PNnDmzqqqK3Mz3338fIeTj41NRUSGycFFRkfADbKSovfXixYvVq1dPnjzZxMRk7dq1TU1NOJS3tzedTt+xY8dw/RyuvhhBEDU1NUFBQfHx8cHBwZmZmeRXIybm48ePPT09DQ0NFyxYsGvXrsH7c7iYxF8P9cFzC0aEqP/4JkBByiwUFxkZyWAwlLMuYjS/kzU1NStWrFB0f0ZUXl6+Z88e6sdMSEhIT0+XcGHZExOcyoHXlL29fUhIiBwvlkmhp6ensLAQ30VM5ZgXL14UCARxcXFyjCkeJCagWP39/fjyvKo7MoSgoCArK6tLly6pqgO3b99OTk7GJ32UjVlXV9fd3Z2amiqvgJKAeUxAgb744ovvv/9eIBBs3749MDBw3rx5qu6RqEWLFqlw7S4uLtSPaWtrK+HDCuUIEhNQoMTExMTERFX3Aow9cCoHAKAcSEwAAMqBxAQAoBxITAAAypHD4Dd+eiIYQ3ANyXH5xeF7Zcflpr1WZHoS7/Xr17/++ms59gaMXfhuOBsbG1V3BFDCtm3bcKFk6ciUmAAg4edB5+TkqLojYDyAMSYAAOVAYgIAUA4kJgAA5UBiAgBQDiQmAADlQGICAFAOJCYAAOVAYgIAUA4kJgAA5UBiAgBQDiQmAADlQGICAFAOJCYAAOVAYgIAUA4kJgAA5UBiAgBQDiQmAADlQGICAFAOJCYAAOVAYgIAUA4kJgAA5UBiAgBQDiQmAADlQGICAFAOJCYAAOVAYgIAUA4kJgAA5UBiAgBQDiQmAADlQGICAFAOJCYAAOVAYgIAUA4kJgAA5dAIglB1H8CYdOLEia+//logEOC3bDYbIWRsbIzfqqmpbdu2be3atSrrHxjLIDEBKd2/f3/27NliFvjvf/87a9YspfUHjCdwKgekNGvWLFtbWxqNNvgjGo1ma2sLWQlIDRITkN7atWvV1NQGt6urq69bt075/QHjBpzKAek1NzdbWlq+evVKpJ1GozU0NFhYWKikV2AcgCMmID1zc/P58+fT6f/zW0Sn011cXCArAVlAYgIyCQ0NFWmh0WhwMQ7ICE7lgEw6OjpMTU35fD7Zoq6u3traamRkpMJegbEOjpiATCZNmrRo0SJyCFxNTW3x4sWQlYCMIDEBWa1Zs4Yc/yYIYs2aNartDxgH4FQOyIrL5RoZGb18+RIhxGAw2Gy2tra2qjsFxjY4YgKy0tLS8vHx0dDQ0NDQ8PHxgawEZAeJCchBSEgIn8/n8/khISGq7gsYD9QlWSgnJ0fR/QBjmkAg0NLSIgiiu7sbfluAeIGBgSMuI9EY05D3QwEAgBQkyTkSHTEhhFgsliR5Dox1NBpNuu+6rKyMRqO5u7sroldyERAQgBDKzc1VdUdeXzk5OUFBQZIsKWliAkA8Nzc3VXcBjB+QmIB8iNwxB4As4JcJAEA5kJgAAJQDiQkAQDmQmAAAQ3v48CGHw1HJqiExAVmVlpY6OTk9fvxY1R2Rs8uXLxcWFp49e3bu3Lk0Gs3NzW1gYID8tKOjIyUlRU9PT1tbm8lkvnjxQvk97OzsTExMjI+PF2m/efOmn59fXFxcVFTU8ePHJQ/Y09NjYGBA+4ufnx95g9GQMevq6jIzMxVxvy1clQOy6ujoaGhoUOi/1paWlilTpigu/mDZ2dkEQWzcuBEh5OnpaW5uXllZmZCQkJaWhheYNGkSk8lsb2/n8/kpKSnK7BtWUFDAYrFYLNbmzZuF2+vq6jw8PIqLi52dnV++fGlra9vX1xcTEyNJzCNHjvj5+c2YMQO/9fLyEh/T1ta2v79/586d5G6RG0ICCCEWiyXJkmCso+B33dXV5enpKXscf39/f39/SZa8cuWKyJIWFhb6+vo0Gq2wsFC4PSMjY9++fbL3TTpdXV0Ioc2bNws3enp6LliwgHyblZWlo6PT3d09YrSBgQEPDw8+nz/4I/Exk5OT8XHTiFgsloQ5B07lAKVxOJyAgIAHDx4obY0CgSA2NjYpKUm40cTEBJ+/rFu37unTp2Q7g8GYMGGC0vomYvCqW1paSkpKhOffu7u79/b2njx5csRo+fn5tbW1q1atOnz4cHd3t+Qxt23blpycLN/vCBITkNXz588zMzNv3LiBEKqtrd2+ffuMGTM6OjrCwsKMjY3nzZv38OFDhNDdu3cTEhKsra2bmppWrlxpaGg4b9686upqhBCLxdLV1bW0tEQIdXd3Z2RkMBgMZ2dnhFBBQUF9fT2bzd6wYcPevXsRQpWVlZaWlj/88IOCNufIkSNdXV3W1tYi7StXroyPj29vbw8MDBQuJSwsLy9vy5YtcXFxS5YsSUhI6O/vF79PEEIEQWRnZ2/cuNHR0dHLy+uPP/6QpfN3795FCM2cOZNswa+rqqpG/NmrV69yudz8/Pzo6Ghra+vLly9LGFNbW9ve3v7LL7+UpeeiJDmsQtQ7vAcKMtrvurKyEt+MkpeXRxBES0vLwoULEULR0dG///57cXGxnp7eqlWrCIIoLy+3trZWU1OLjY29evVqfn6+kZGRlpZWc3MzQRBeXl5Tp04lw9rb2zs5OeHXy5Yts7KyIj8qKiqaOHHiqVOnRrtpEp7KLV68OCAgQKTRzs6OIAiBQIC3LjY2FrdnZ2eTZzFff/21i4sLj8cjCILNZs+cOdPd3f3Vq1di9glBEKmpqceOHSMIYmBgwMnJyczMjMPhSLhFuDif8KlcZmYmQujChQvCi02YMOG9996TJCCfz79582ZYWBidTmcwGPfu3ZMwZkpKir6+/sDAgPj4cCoHlMTFxYXJZJJvzczMHBwcEEK7d++2trZeuHChm5vbrVu3EEJubm6Ojo40Gi0tLc3Dw8PX1/fgwYNcLjc7OxshpKWlJRxWXX3YyzLe3t49PT2KK/xUX18/XM1yOp1+5swZS0vL/fv3FxQUCH/U1tbGZDJjYmI0NDQQQkZGRrt27SovLz958qSYfdLc3JyRkYGfNKOmpubv79/a2lpYWCh155uamhBCOjo6wo06OjrPnj2T5MfV1dXffffdo0eP5ubm9vf3429WkpimpqZdXV342Eou4KockJVITsEPJiAzi66ubk9PD/mRuro6/tNFCPn4+Ghqat65c2e0axzy8b9yweFwGhoaJk2aNNwCxsbG+fn5bm5uERERdnZ2ZHt1dTWHw8Fno9iyZcsQQj/99FNoaOhw+6SqqorP50dHR5M/FRkZOXHiRKn7jzvA5XKFG7lc7rRp00YVx9fX19fXt7a2VsKYBgYGCKFnz57Z2NhI2/f/AYkJqIyGhoa5ubnw5CCVw9ekBj9bWJiDg8OBAweio6MDAgJCQ0Nxunny5AlCqL29nVzM2NgYn6iKCVVfX6+trf3tt9/Kqfvob3/7G0IIX63DeDxeX1/f7NmzRxvKzc3t559/ljAmvoVblpQqAk7lgCrxeDwp/mYUR19fn8FgdHZ2il8sKioqLCzs1q1b5PydN954AyFEDmmTxG+dlpZWY2NjY2OjcCObzR51v/+C54IKT3bFr+fMmSNFNNx5SWLijPzmm29K0+mhQGICKtPW1tba2urv748QUldX7+3tFQgE+KPe3l7ysIVOp4tcBRN/RCMLGo02f/58kcMcgiDIs1HSoUOH3nnnnZaWFvzWyclJV1f3/Pnz5AJNTU1cLnfFihViVmdjY0MQxI4dO8iWtra2o0ePSt1/CwsLd3f3srIysqWsrExTU9PPz2+0ocrLy8PCwiSMyWazzczMDA0Npe65CEhMQFZ9fX0IIXyFCCHE4/EQQuQJGofD6evrI/66a6G/v58cVNq9e/eaNWscHR0RQjY2Np2dnampqffv3//iiy/6+/vv37//yy+/IITMzc1bW1tra2vLysq4XG5xcbGBgUFeXp6CNic4OPjatWuE0G0WDQ0Nzc3N5AZiDAYjPz+fHI0yNjZOTU29du1aSUkJbjlw4EBoaOiCBQvE7JNFixY5ODicPn3az8/vu+++++yzz1avXh0eHo4Q2rRpk6ur659//immq3jcR6RjX331VWVl5a+//orX+8033yQmJpqamoqPWVFR8fbbb+/fvx//bzh37pyOjs7q1atHjIlVVVUtXbp0hD07KpJcukMwXeC1Mdrv+saNG8uXL0cIeXh4VFVVlZaW4kkumzZtamtrO3nypJ6eHkLo888/HxgYiIyM1NDQCA8P9/f3X79+fVJSkkAgwHG6urqWL1+uo6Pj5ORUU1MTERERFhZWVFREEERdXZ2lpeWsWbNyc3MJgigtLZ0yZcr58+dHu2kSThfg8XgzZ86sqqrCbwsKCt5//32EkI+PT0VFhcjCRUVFWVlZ5NuCggIvL6/Nmzczmcz09PRXr17hDovZJy9evFi9evXkyZNNTEzWrl3b1NSEQ3l7e9Pp9B07dgzXz/Ly8vXr1yOEJk+ezGKxWlpayI9qamqCgoLi4+ODg4MzMzNxN8THfPz4saenp6Gh4YIFC3bt2jV49w4XkyAILpdraGiI5xaIJ/l0AUhM4H8o9LuOjIxkMBgKCj4iyW9JqampWbFihaL7M6Ly8vI9e/ZQP2ZCQkJ6erokS8I8pv9fb2+vqrsAxh57e/uQkBA5XiyTQk9PT2FhIb6LmMoxL168KBAI4uLi5BgTjd3pAp2dnXv37hUIBKmpqUMu8O233+bk5Ny7d6+hoUEuAYfT1dWVnp5eXl7e0dFhZWWlrq6Or02Ym5uL3PYtR4N7e/HixaysrIsXLyKEnJ2d6XQ6h8PB03OjoqLwFV+V6+/vx9fjqf9AsKCgoOLi4kuXLi1ZskQlHbh9+3ZycjKDwaByzLq6uu7u7tH+yUhEksMqRLFTuXPnzuGHwIjcVy1sYGDA1dXVzMxMXgGHVFRUZGZm5urq+ujRI9zS3t6+bt06hFBaWtqoQkluuN7im0unT59Otvz8889LlixRU1PbtWsXOZojnuK+a1y9CCH0ySef3LhxQxGrEE/yUzmgIOP8VM7Hx+fw4cPil1FTU5s6daocAw726NGjVatWTZ8+vbS01MrKCjdOmjTp2LFjISEhiqtPNFxvdXV10f9OcnNwcCgqKlq1atWXX365Z88eBfVHQomJiV1dXQRB7N27d968eartDKC4MZmY0FAFH5QfcO3atT09PSkpKeQ9FqSkpCSRKfzyNWRvhzw/otPpWVlZkydP3r17N56dDAD1yTMxXbx4cdOmTR9//LGzs7PwwOFoa0GUl5dPnjyZRqMlJibiCCUlJXp6esnJySP24fvvv4+KitqxY8dHH31ETn6TmpgKG3fu3KmsrDQwMFi0aNHgT//+979v2bIFv1bm5g9JX18/MDCQy+XiA2kAxgBJzveQBOMOJ06cCA4OxgMZu3fvRgiVlJQQ0taCyMrKQgidO3cOv+Xz+R4eHsKrG1zwgSCIU6dOOTk54alrbDbbxMREwjGm4QKKqbDxr3/9CyH07rvvig+rzM3HN1LMmTNncDdwTa+wsLAR9gL1xhPlCMaYVE7Z85ja2tr09fUfPnxIvvX19b179+6zZ8+0tbW/++47ckk83f7EiRMEQeAi6mw2G3/0wQcfzJw5E7/GU7b8/Pzw2wsXLghPYyOG+svkcDhTpkw5c+YM2eLr6ytjYiIIYrgSM+np6QghLy8vMTGVufmE2MT0448/IoQkKVALiQkojuSJST7TBSorK1+9eoXvY0QImZiY5OfnI4T+85//SFELAiE0ceLEtWvXZmVlsdlsY2NjFov1j3/8Q3wfKioqWlpa3nrrLbJFU1NT9k0brsLG9OnTEUKPHj0S87PSlcJAUm2+ePjW8FmzZkmy8P79+3Nzc2VZHTXhapkBAQGq7sjrS+R2ZTHkM8b022+/4fkpIu3S1YLAHS8rjwAAIABJREFUoqKi+Hz+yZMnOzs71dTUxJTIwe7du4cQGjwOrSBz585FCD169EhM1Q5lbr54eOfY2trKEgQApZHPEZOent7Lly/v3r2L/1wxHo8nXS0I7M0333Rzc/v3v/89ceJE8mZCMfDx0ZMnT5RTRmP27NmzZ8/+73//W1FRge+lGkyZmy8GQRC5ubl6enr4eG1EsbGxgYGBsqyRmvCx0rg8GBwrcnJy8BS8EcnniMne3h4hxGQyyXoUf/75Z05OjnS1IEhRUVF37tw5ceIEvkVbvLfffhv976/dq1evyDIaUhuuwoaamto///lPhFB8fDy+d1xYd3c3HolX2uYjhAYfsWL79u27c+fO3r17LSwsJIkDgMrJJzG5uLgsXbq0oKDA09MzMzPz008/jYuLW7VqlXS1IMiw/v7+kyZNWrRoEa6PJ2xwwQcXF5f33nvv6NGj2dnZXC63pqamsrLy+fPnp0+flmRK0ZAVJMRX2HjvvfcOHjx4584dDw+Pmpoa3NjZ2Xnu3LmIiIj3339fmZuP/hpIEt7YJ0+efPTRR59++unHH3+8YcOGEXcCAFQhyQg5kuBKDZfL3bRpk4WFhamp6caNGzs7O8mPpKgFQf5sfHz806dPRdY1XMGHzs7O8PBwU1PTadOmff7551FRUeHh4VeuXBnxbozhAkpSYePBgwcxMTFOTk7m5uYODg4eHh6HDh0Sfmqgcjb/xx9//OCDD/B36urq6unp6e3tvXTp0tjY2NraWvGbL0yS73qMgqtyKif5VTkaIcFzx2k0GovFGpfjDkDEOP6uYYxJ5fAYkyQ5Z6xWFxiVqVOn4vnWg504cULOlfcAGC8ePnxoamqqra2t/FW/FolJ8tkTAJAuX77c39/P4XBSUlLu3r3r6up69epVct5ZR0dHZmZmenq6QCDYtm3b1q1bh3saneIMV6vn5s2bqampb7zxRnd3t4uLCy53IYmenh5LS0vygSh2dna4nO5wMevq6ioqKj788EO517F5LRIToIiWlpYpU6ZQIciIsrOzCYLANdU8PT3Nzc0rKysTEhLIx6JMmjSJyWS2t7fz+fyUlBRF92ewgoICFovFYrFEyn7V1dV5eHgUFxc7Ozu/fPnS1ta2r68vJiZGkphHjhzx8/ObMWMGfuvl5SU+pq2tbX9//86dO8ndIjeSDESh8TsgCkQo7rvu6uqS5J4YxQWRfPD7ypUrIktaWFjo6+vTaLTCwkLh9oyMjH379knXH9nhQxuRO5M8PT0XLFhAvs3KytLR0enu7h4x2sDAgIeHh/B1GwljJicnk89JF2+c12MCYw6HwwkICHjw4IHKg4xIIBDExsYmJSUJN5qYmBw/fhwhtG7dOlyQD2MwGHKvwCO5watuaWkpKSlxd3cnW9zd3Xt7e/Fd3OLl5+fX1tauWrXq8OHD3d3dksfctm1bcnKyfL8XSExAGkPWcmGxWLq6uvjewO7u7oyMDAaD4ezsjBAqKCior69ns9kbNmzYu3fv3bt3ExISrK2tm5qaVq5caWhoOG/ePHwvm+RBkNi6NFI7cuRIV1eXtbW1SPvKlSvj4+Pb29sDAwNFnnMnfreIKXGDECIIIjs7e+PGjY6Ojl5eXn/88Ycsnb979y5CCM9EwfDrqqqqEX/26tWrXC43Pz8/Ojra2tr68uXLEsbU1ta2t7f/8ssvZem5KEkOqxCcyr02JPmuh6vlQhCEl5fX1KlTySXt7e2dnJzw62XLlllZWeHX5eXl1tbWampqsbGxV69ezc/PNzIywncRSh6EEFuXZjAJT+UWL14cEBAg0mhnZ0cQhEAgwMVqYmNjcXt2djZ5FiNdiZvU1NRjx44RBDEwMODk5GRmZsbhcCTZHGKoIhOZmZkIoQsXLggvhku/SxKQz+ffvHkzLCyMTqczGAz8RCZJYqakpOjr6w9XioMEp3JAUdra2phMZkxMDL5f2sjIaNeuXeXl5fjAXktLS3hh8hqWCDc3N0dHRxqNlpaW5uHh4evre/DgQS6Xm52dLXkQhJC3t3dPT09ISIjs20Wqr68f7voanU4/c+aMpaXl/v37CwoKhD8Ss1vMzMwcHBwQQrt377a2tl64cKGbm9utW7cQQs3NzRkZGaGhoQghNTU1f3//1tbWwsJCqTvf1NSEENLR0RFu1NHRefbsmSQ/rq6u/u677x49ejQ3N7e/v5/JZEoY09TUtKurCx9byQUkJjA6Ymq5jCqOmpqauro6WQ3Cx8dHU1OTfEjvqOKM9kfE4HA4DQ0NYmo5GBsb5+fnT5gwISIiQrjojfjdMlyJm6qqKj6fHx0dvWHDhg0bNty7dy8yMlK4avto4Q6I3IPF5XKnTZs2qji+vr6+vr61tbUSxjQwMEAISZj+JAHTBcDoyFLLRQwNDQ1zc3MxNWSUA1+TGu7ObczBweHAgQPR0dEBAQGhoaE43Ui3W+rr67W1teX4ADv8nC5yIhJCiMfj9fX1SVFyw83N7eeff5YwJr6dU5aUKgKOmMDoyFLLRTwej6eckjVi6OvrMxgMXAtUjKioqLCwsFu3bpHzd6TbLVpaWo2NjSITgNls9qj7/Ze5c+fSaLTHjx+TLfj1nDlzpIiGOy9JTJyR8RMV5QISExgd8bVc1NXVe3t7yWozvb295NEHnU4f7mIWQqitra21tdXf33+0QcQf3YwWjUabP3++yGEOQRBkcVHSoUOH3nnnHfKBF9KVuLGxsSEIYseOHWRLW1sbrr8sHQsLC3d397KyMrKlrKxMU1PTz89vtKHKy8vDwsIkjMlms83MzAwNDaXuuQhITGB0xNdysbGx6ezsTE1NvX///hdffNHf33///v1ffvkFIWRubt7a2lpbW1tWVoYHLPr7+8lBpd27d69Zs8bR0XFUQcTXpZFOcHDwtWvXCKEbTRsaGpqbm0WKzDAYjPz8fHI0SroSN4sWLXJwcDh9+rSfn99333332WefrV69Ojw8HCG0adMmV1fXP//8U0xXh6x+89VXX1VWVuJbSXg83jfffJOYmGhqaio+ZkVFxdtvv71//378/+DcuXM6OjpkhUIxMbGqqio533MqyaU7BNMFXhsSftdD1nIhCKKrq2v58uU6OjpOTk41NTURERFhYWFFRUUEQdTV1VlaWs6aNSs3N5cgiMjISA0NjfDwcH9///Xr1yclJZHVaSQPIkldGpKE0wV4PN7MmTOrqqrILcUVSn18fCoqKkQWLioqEn5OhBQlbl68eLF69erJkyebmJisXbu2qakJh/L29qbT6Tt27Biun8PV6iEIoqamJigoKD4+Pjg4ODMzk/x2xMR8/Pixp6enoaHhggULdu3aNXiXDheT+OvZGXhugXjKfkoKGDeU9l1HRkYyGAwlrIgk+S0pNTU1K1asUHR/RlReXr5nzx7qx0xISEhPT5dkSZjHBID07O3tQ0JC5HixTAo9PT2FhYX4LmIqx7x48aJAIIiLi5NjTARjTEBV+vv7h3yyDkUEBQVZWVldunRJVR24fft2cnIyPumjbMy6urru7m6RoityAfOYgAp88cUX33//vUAg2L59e2Bg4Lx581TdoyEM+fB3pXFxcaF+TFtbWwU9EwwSE1CBxMTExMREVfcCUBecygEAKAcSEwCAciAxAQAoBxITAIByIDEBAChH0gdeKqErAIDXgSQ5R6LpAngiOQBi7N+/HyEUGxur6o6A8UCiIyYARoSfKp6Tk6PqjoDxAMaYAACUA4kJAEA5kJgAAJQDiQkAQDmQmAAAlAOJCQBAOZCYAACUA4kJAEA5kJgAAJQDiQkAQDmQmAAAlAOJCQBAOZCYAACUA4kJAEA5kJgAAJQDiQkAQDmQmAAAlAOJCQBAOZCYAACUA4kJAEA5kJgAAJQDiQkAQDmQmAAAlAOJCQBAOZCYAACUA4kJAEA5kJgAAJQDiQkAQDmQmAAAlAOJCQBAOZCYAACUA4kJAEA56qruABir2Gx2d3c3+ZbD4SCEHj58SLbo6ekZGxuroGdg7KMRBKHqPoAx6ejRoxEREWIW+Pe//x0eHq60/oDxBBITkFJXV5eJiQmfzx/yUw0NjefPn+vr6yu5V2B8gDEmICV9fX1vb2919SFGA9TV1T/44APISkBqkJiA9NasWSMQCAa3v3r1as2aNcrvDxg34FQOSO/ly5fGxsZ42FuYlpYWm82eOHGiSnoFxgE4YgLSYzAYvr6+Ghoawo0aGhr+/v6QlYAsIDEBmYSEhIiMf/P5/JCQEFX1B4wPcCoHZDIwMGBqatre3k62GBgYPH/+fMhBcQAkBEdMQCbq6urBwcHk2ZyGhsaaNWsgKwEZQWICsgoODibP5vh8fnBwsGr7A8YBOJUDsiIIwtLSsqmpCSE0ZcqUpqYmGo2m6k6BsQ2OmICsaDRaaGiopqampqbmunXrICsB2cERE5CD27dv29ra4hc2Njaq7g4Y8xQ4SBkQEKC44IBqdHR0EELJycmq7ghQntzcXAVFVuCpXF5eXmNjo+LiA/GUvP+nT59uZWWlnHVVV1dXV1crZ11gSI2NjXl5eYqLr8BTORqNxmKxAgMDFRQfiKfk/Y8rMc2YMUMJ68IH44r7dw1GlJOTExQUpLjsAfNNgHwoJyWB1wRclQMAUA4kJgAA5UBiAgBQDiQmAMa/hw8fDi6bRWWQmMD/U1pa6uTk9PjxY1V3RM4uX75cWFh49uzZuXPn0mg0Nze3gYEB8tOOjo6UlBQ9PT1tbW0mk/nixQvl97CzszMxMTE+Pl6k/ebNm35+fnFxcVFRUcePH5c8YE9Pj4GBAe0vfn5+2traYmLW1dVlZmZSZ7o1XJUD/09HR0dDQ4NC/7W2tLRMmTJFcfEHy87OJghi48aNCCFPT09zc/PKysqEhIS0tDS8wKRJk5hMZnt7O5/PT0lJUWbfsIKCAhaLxWKxNm/eLNxeV1fn4eFRXFzs7Oz88uVLW1vbvr6+mJgYSWIeOXLEz8+PvFTq5eUlPqatrW1/f//OnTvJ3aJihMIghFgsluLiA/EouP+7uro8PT1lj+Pv7+/v7y/JkleuXBFZ0sLCQl9fn0ajFRYWCrdnZGTs27dP9r5Jp6urCyG0efNm4UZPT88FCxaQb7OysnR0dLq7u0eMNjAw4OHhwefzB38kPmZycjI+bhoRi8VSaPaAUzmgJBwOJyAg4MGDB0pbo0AgiI2NTUpKEm40MTHB5y/r1q17+vQp2c5gMCZMmKC0vokYvOqWlpaSkhJ3d3eyxd3dvbe39+TJkyNGy8/Pr62tXbVq1eHDh4UfSjpizG3btiUnJyvzOxoOJCbw/zx//jwzM/PGjRsIodra2u3bt8+YMeP/Y+/ew5q41oWBr4RbykUQgiCKRXtQm9aiRy5BDFIRtHihEC4ioAG5qFt3NxYfi5DTCiJVrPIoVk7d1nbXVhFS9EFsK6KCiLSoBbsLHmvdWuQiRu4JJBDm+2Nt58tGiQGSzEDf31+ZNZM174zhdS5r3mlraxMIBGw229XVFQ/vrq2tTU5O5nA4DQ0N/v7+lpaWrq6u+BmR3NxcMzMze3t7hFBnZ2dWVhaLxXJ3d0cIFRQU1NXVicXi2NjYffv2IYTKy8vt7e2/++47LW3OsWPHOjo6OBzOoHZ/f/+kpKTW1taQkJCh3ouXn5+/ZcuWxMTEZcuWJScny2Qy1fsEIUQQRE5OzsaNG93c3Hx9fX/77bfRBF9bW4sQcnR0JFvw54qKipd+9/Lly1KpVCQSxcfHczicCxcuqNmniYmJs7Pz7t27RxO5ZmjvYAzR71TiT2W4+7+8vJzH4yGE8vPzCYJoampasmQJQig+Pv7XX38tLi6eMGHC6tWrCYIoKyvjcDh6enoJCQmXL18WiURWVlbGxsaNjY0EQfj6+k6dOpXs1tnZmcvl4s8rVqxwcHAgZxUVFb3yyitff/31cDdNzVO5pUuXBgcHD2qcO3cuQRAKhQJvXUJCAm7Pyckhz2L279/v4eEhl8sJghCLxY6Ojp6engMDAyr2CUEQGRkZX3zxBUEQ/f39XC7X1tZWIpGouUW9vb3oP0/lsrOzEULnzp1TXszIyGjRokXqdNjX13fjxg2BQMBkMlks1p07d9TsMy0tzdzcvL+/X3X/cCoHdMTDw0MoFJKTtra2Li4uCKH09HQOh7NkyRIej3fz5k2EEI/Hc3NzYzAYe/bs8fLyCgwM/PTTT6VSaU5ODkLI2NhYuVsVZXb9/Py6urq09+aCuro6KyurF85iMpknT560t7c/cOBAQUGB8qyWlhahULhhwwZcL9jKymrHjh1lZWUnTpxQsU8aGxuzsrIiIyMRQnp6ekFBQc3NzYWFhSMOHhfewzUbSKampo8fP1bn6/r6+vPnzz9+/HheXp5MJsP/sur0aWNj09HRgY+tKAR35cD/Nyin6OnpIaXMYmZm1tXVRc7S19cnS30HBAQYGhr+8ssvw10jXoU2SCSS+vr6iRMnDrUAm80WiUQ8Hi86Onru3Llke2VlpUQiwWej2IoVKxBCV65ciYyMHGqfVFRU9PX1xcfHk9+KiYkZzTuscABSqVS5USqVTps2bVj9BAYGBgYGVldXq9mnhYUFQujx48fU1tWCxAQ0wMDAwM7OTnlwEOXwPamBgQEVy7i4uBw8eDA+Pj44ODgyMhKnm4cPHyKElN/7wmaz8Ymqiq7q6upMTEyOHj2qofDRa6+9hhDCd+swuVze09Mza9as4XbF4/F++uknNftkMpkIIcpfCwinckAz5HL5CP5mtMfc3JzFYrW3t6teLC4uTiAQ3Lx5kxy/M336dPSsiosy1VtnbGz86NGjQQWwxGLxsON+Bo8FVR7sij/Pnj17BL3h4NXpE2fk119/fSRBaw4kJqABLS0tzc3NQUFBCCF9ff3u7m6FQoFndXd3k4ctTCZz0F0w1Uc0o8FgMBYsWDDoMIcgCPJslHTkyJF58+Y1NTXhSS6Xa2ZmdubMGXKBhoYGqVS6atUqFaubM2cOQRDbt28nW1paWo4fPz7i+KdMmeLp6VlaWkq2lJaWGhoa8vn84XZVVlYmEAjU7FMsFtva2lpaWo44co2AxAT+v56eHoQQvkOEEJLL5Qgh8gRNIpH09PQQz55akMlk5EWl9PT0iIgINzc3hNCcOXPa29szMjLu3r27a9cumUx29+7dW7duIYTs7Oyam5urq6tLS0ulUmlxcbGFhYX2CiGGhYVdu3aNUHrMor6+vrGxkdxAjMViiUQi8moUm83OyMi4du1aSUkJbjl48GBkZOTixYtV7BMfHx8XF5dvvvmGz+d/9dVXH374YXh4eFRUFEJo06ZNCxcuvHfvnopQ8XWfQYHt3bu3vLz8559/xus9dOhQSkqKjY2N6j6vXr361ltvHThwAP/f8O2335qamoaHh7+0T6yiouKdd955yZ7VAe3d8EMwXIBSw93/P/7448qVKxFCXl5eFRUVly5dwoNcNm3a1NLScuLEiQkTJiCEPvroo/7+/piYGAMDg6ioqKCgoPXr1+/cuVOhUOB+Ojo6Vq5caWpqyuVyq6qqoqOjBQJBUVERQRA1NTX29vYzZ87My8sjCOLSpUuTJ08+c+bMcDdNzeECcrnc0dGxoqICTxYUFLz99tsIoYCAgKtXrw5auKio6PDhw+RkQUGBr6/v5s2bhUJhZmbmwMAADljFPnn69Gl4ePikSZOsra3Xrl3b0NCAu/Lz82Mymdu3bx8qzrKysvXr1yOEJk2alJub29TURM6qqqoKDQ1NSkoKCwvLzs7GYaju88GDB97e3paWlosXL96xY8fzu3eoPgmCkEqllpaWeGyBatoeLgCJadzS6v6PiYlhsVha6vyl1H8kpaqqatWqVdqO56XKyso+/vhj+veZnJycmZmpzpIwjgmAkXN2dl6zZo0Gb5aNQFdXV2FhIX6KmM59nj9/XqFQJCYmarDPEaPFcIGnT5/i0ag8Hk8ul7e1tS1YsIDqoIAqMpkM34+n/+stQ0NDi4uLv//++2XLllESwO3bt1NTU1ksFp37rKmp6ezszMjI0FSHo0T9EdO//vWvoKAgHx+f2tra//qv/+JwOKMZL6txIpHI3d2dwWAYGRn5+Pi88847y5YtW7hwIZvNZjAYv/32W39///Xr1z/88EPyiaRxb9euXWfPnlUoFNu2bcMDZGjOx8eHqqyEEPLw8NBsVtJGn05OTqtXr9Zgh6NE/RFTamrq/Pnz7ezs9uzZ4+LioubrhgaV9dFelR8+n29jY8Pj8VxcXIqLi8l2uVy+dOnS/v7+qqqqo0ePHj9+/O9//zt9wtaqlJSUlJQUqqMA4xn1R0xnzpyxs7NDCDEYDD8/P3W+0tnZiR9KeuGkxrHZbIQQ+fgFZmhoGB8fz2Aw3N3dt2zZok4/Og4bgLGL4iMmiUTS3t4+rAemBpX10UGVn6Euo5CHvoaGhi/tRPdhAzB2UZmYSktLjxw5ghD65ptv/vnPfyKEBg0Lfvz4sVAotLe3/+OPP8Ri8d///ncrKytc1qetrS02NnbWrFm2trbKk4mJiQRB/O///m9NTc2tW7fMzc0PHz7s6OhYXV399ddfi0SimzdvJiQknDt3bsaMGadOncK1R8vLy8PCwj777DP1h5alpqb+z//8zwtn6SxsAMYt7Y1EQGqMo8GP6uzbtw9Pdnd3I4Q++OADPOnl5YVfQ0wQhJOTU0REBP48qKzPoMkXlsVRXUlHdWGgO3fuIIS8vLzwZH9//y+//PL666+TC+Cs+ve//13HYaumzv4fo9QfxwS0RNvjmKi/+K2ak5MT/vDmm2/evn37pcvjsjj4CSlcFicxMbGwsDA0NNTFxeXixYvp6elWVlYcDoespIOeFQZSfUZ569YtXImxv7//4cOHQ1U+1GXYAIxXtE5Mly9fRghJJJITJ05UVVWp88CnirI4KqoLITUKA/33f/83jgch1NfXR752gtqwVQsNDQ0NDVVz4TGH/kOowIjROjEpFIo9e/b8/vvvW7duLS8vx1WlVdN4WZwXMjAweP/994eaS5+w//a3v+GjvHHmwIEDCKGEhASqA/nzun79elZWlvb6p29iGhgY8PPzs7Ky+uabb9T/FlkWZ+rUqWSjWCzGt/w1CFc1fB6twnZ3d1dzXNjYkpeXhxAal5s2hmg1MVE8jokY+s2fP/3004ULF7y9vfEkfgACfx5U1kd5csRlcVSccOH1qgiVwrABGJcoPmLCZWjwzTj0rOgnriODryB8+eWXrq6uN2/erK2tffz48e3bt21sbOzs7IqKiqqrqzs6OlxcXJQnPTw8cFmc3t7ed9999969exUVFSdPnkRDV9JhMBjFxcV8Pv/zzz/Hpc4GwVUQld/PNQgOG/esy7A18S8AAC1p74Yfetnt6ocPH+IyNLNmzSopKWlqalq7di1C6M033ywvLycIYsOGDWZmZlwu9+LFi0VFRWw2OygoqLu7e1BZn0GTLyyLo7qSjorCQGfPnl20aBFCiMFgJCUl/frrr4MW+Pnnn999912EEI/Hu3Llii7DHuX+H7tguADltD1cgEGod4YyAgwGIzc3Fy4EUGUc7//g4GD07EoToMTp06fxYD0t9U/9s3IAADXdv39fIpFQHYUuQGICf2oXLlwoLCw8deoUfoMIj8dTfglVW1tbWlrahAkTTExMhELh06dPdRxeV1eXhYUF4xk+n29iYoJn3bhxg8/nJyYmxsXFffnll8rfeuGsmpoa/KphHW/CyNB3uACgM40UbKG86ktOTg5BELgOpLe3t52dXXl5eXJyMvkqp4kTJwqFwtbW1r6+vrS0NN1HeOzYMT6fTz4aSQ7rramp8fLyKi4udnd37+3tdXJy6unp2bBhg4pZTk5OMpnsgw8+ILeO1rR3+QqN34uvY4L29n9HR4e3tzeFnWjk4vfFixcHdTJlyhRzc3MGg1FYWKjcnpWV9cknn4xydSPQ39/v5eWFR5wM4u3tvXjxYnLy8OHDpqamnZ2dqmcRBJGamoqPm0YJan4DetFIwRbKq74oFIqEhISdO3cqN1pbW+MTn3Xr1v3xxx9kO4vFMjIy0nWICIlEourq6tWrV3/22WfKo1WamppKSko8PT3JFk9Pz+7u7hMnTqiYhSe3bt2amppK/3o7kJj+7PLz87ds2ZKYmLhs2bLk5GSZTIYQys3NNTMzw6+67+zszMrKYrFY+OkWXL9FLBbHxsbu27evtrY2OTmZw+E0NDT4+/tbWlq6urrip3DU7wQhVF5ebm9v/9133+lmq48dO9bR0cHhcAa1+/v7JyUltba2hoSEDPWc9gv3WHV19bZt22bMmNHW1iYQCNhstqurK/k6X4IgcnJyNm7c6Obm5uvr+9tvv6kT5OXLl6VSqUgkio+P53A4ZO3m2tpahBAeR4LhzxUVFSpm4UkTExNnZ+fdu3erEwCVtHcwhuBUjlLq7P/9+/d7eHjI5XKCIMRisaOjo6enJ37RmK+v79SpU8klnZ2duVwu/qxcsKWsrIzD4ejp6SUkJFy+fFkkEllZWRkbGzc2NqrfCfGyyjODjP5UbunSpcHBwYMa586dSxCEQqHApWYSEhJwe05ODnn6M9QeU12g5oU1bdSJs6+v78aNGwKBgMlkslgs/Ma37OxshBB+fwfJyMho0aJFKmaRk2lpaebm5i8dB6canMoBbWlpaREKhRs2bMBVg62srHbs2FFWVoYP+42NjZUXJssbDMLj8dzc3BgMxp49e7y8vAIDAz/99FOpVJqTk6N+J+hZ5Zk1a9aMfrvUUVdXZ2Vl9cJZTCbz5MmT9vb2Bw4cKCgoUJ6lYo/Z2tq6uLgghNLT0zkczpIlS8gCNbimDS6jjGvaNDc3q/nGDX19/fnz5x8/fjwvL08mkwmFQoRQQ0MDQsjU1FR5SVNT08ePH6uYRU7a2Nh0dHTgYyvagsT051VZWSmRSPCpFoafTL5y5cqw+tHT09MHhHSLAAAgAElEQVTX1ydrogcEBBgaGpJvDx9WP8P9yshIJJL6+nryneDPY7PZIpHIyMgoOjr6X//6F9mueo8NVaCGrGkTGxsbGxt7584dsqaN+gIDAwMDA6urqxFCOAD8OBdJKpVOmzZNxSxy0sLCAiGknKpoCIYL/Hk9fPgQIdTa2kq2sNlsfBY2mm4NDAzs7OyURwPRDb7PpbpOlouLy8GDB+Pj44ODgyMjI3G6Gdke01RNGx6Ph1+W9dprr6FnT2hicrm8p6dn1qxZKmaRLUwmEyE03MyoY3DE9Oc1ffp0hBB5gZak/CMeGblcPvpOtMfc3JzFYuFns1WIi4sTCAQ3b94kB/6MbI+RNW2UG8Vi8bDjfrYiPBYUl6XG8OfZs2ermEW24MT6+uuvjyAAnYHE9OfF5XLNzMzOnDlDtjQ0NEil0lWrViGE9PX1u7u7caUHhFB3dzd5iDGofssgLS0tzc3NuE7DsDpRp9SnRjAYjAULFgw6zCEI4vnSoEeOHJk3b15TUxOeVL3HhqKpmjZlZWUCgQAhNGXKFE9Pz9LSUnJWaWmpoaEhn89XMYtsEYvFtra2lpaWww1AlyAx/Xmx2eyMjIxr166VlJTgloMHD0ZGRi5evBghNGfOnPb29oyMjLt37+7atUsmk929e/fWrVsIITs7u+bm5urq6tLSUnw5QyaTkReV0tPTIyIi3NzchtVJcXGxhYVFfn6+brY9LCzs2rVrhNLzGfX19Y2Njb29vcqLsVgskUhEXo1SvceGKlDj4+ODa9rw+fyvvvrqww8/DA8Pj4qKQght2rRp4cKF9+7dez7Cq1evvvXWWwcOHMBp/dtvvzU1NQ0PD8dz9+7dW15e/vPPP+P1Hjp0KCUlxcbGRvUsrKKiQv23AVFGezf8EAwXoJSa+7+goMDX13fz5s1CoTAzMxOPFSAIoqOjY+XKlaamplwut6qqKjo6WiAQFBUVEc8VbImJiTEwMIiKigoKClq/fv3OnTsVCsVwO1FReeZ5ox8uIJfLHR0dKyoqyJ3w9ttvI4QCAgKuXr06aOGioqLDhw+r3mOqC9S8sKYNQRB+fn5MJnP79u3PR/jgwQNvb29LS8vFixfv2LHj+T1TVVUVGhqalJQUFhaWnZ1N/sOpniWVSi0tLfGwg9HQ9nABSEzjls72f0xMDIvF0sGKSBp5JKWqqmrVqlUaiWc0ysrKPv74Y52tLjk5OTMzc/T9wDgmALTC2dl5zZo12n5vhWpdXV2FhYX4KWIdOH/+vEKhSExM1M3qRgMSExgtmUymXNp8DAkNDXVwcPj++++pCuD27dupqan4pE/bampqOjs7MzIydLCu0YNxTGBUdu3adfbsWYVCsW3btpCQEFdXV6ojGh4fHx8K1+7h4aGzdTk5OZHvYaU/SExgVFJSUlJSUqiOAow3cCoHAKAdSEwAANqBxAQAoB1ITAAA2tHuxe/r169rtX+g2njd//iB2NOnT1MdyJ+Xtn9a2n3hpZZ6BgDQgRazx1gcFwdoCL/yF45igEbANSYAAO1AYgIA0A4kJgAA7UBiAgDQDiQmAADtQGICANAOJCYAAO1AYgIA0A4kJgAA7UBiAgDQDiQmAADtQGICANAOJCYAAO1AYgIA0A4kJgAA7UBiAgDQDiQmAADtQGICANAOJCYAAO1AYgIA0A4kJgAA7UBiAgDQDiQmAADtQGICANAOJCYAAO1AYgIA0A4kJgAA7UBiAgDQDiQmAADtQGICANAOJCYAAO1AYgIA0A4kJgAA7ehTHQAYq8rKyq5fv05O3rlzByG0Z88essXd3d3T05OCyMDYxyAIguoYwJhUUlKyZMkSAwMDJnPwcffAwEBfX9/Fixe9vb0piQ2MdZCYwAgNDAzY2to+efLkhXPZbHZzc7Oenp6OowLjA1xjAiPEZDLDw8MNDQ2fn2VoaBgREQFZCYwYJCYwcmFhYXK5/Pl2uVweFham+3jAuAGncmBUHBwcHj58OKjR3t7+4cOHDAaDkpDAOABHTGBUIiMjDQwMlFsMDAwEAgFkJTAacMQERuXOnTuvv/76oMZ//vOfb7zxBiXxgPEBjpjAqMyePfuNN95QPj7icDiQlcAoQWICo7V27VryBpyBgcG6deuojQeMA3AqB0arvr7+1VdfxT8kBoNx//59BwcHqoMCYxscMYHRsre3d3NzYzKZTCbTzc0NshIYPUhMQAMiIyMZDAaTyYyMjKQ6FjAewKkc0ACxWGxra4sQamxsnDRpEtXhgDGPFokJxrwAQB90yAl0KXvyt7/9zd3dneooxq3r169nZWXl5uZqbxVlZWUMBoPH42lvFUMJDQ2F349G4N8J1VEgRJ8jptzc3JCQEKoDGbdOnz4dGhqq1X/rrq4uhJCZmZn2VjEU+P1oig5+J2qiyxETGOsoSUlgvIK7cgAA2oHEBACgHUhMAADagcQEAH3dv39fIpFQHQUFIDGBIV26dInL5T548IDqQDTpwoULhYWFp06dwkUReDxef38/ObetrS0tLW3ChAkmJiZCofDp06c6Dq+rq8vCwoLxDJ/PNzExwbNu3LjB5/MTExPj4uK+/PJL5W+9cFZNTU12djYdbrGNANyVA0Nqa2urr6/X6v/YTU1NkydP1l7/g+Tk5BAEsXHjRoSQt7e3nZ1deXl5cnIy+dapiRMnCoXC1tbWvr6+tLQ0nQVGOnbsGJ/PnzFjBp709fXFH2pqary8vIqLi93d3Xt7e52cnHp6ejZs2KBilpOTk0wm++CDD5TfqTVmEDSAEMrNzaU6ivEMD62kOorBOjo6vL29R9+Pmr+fixcvBgUFKbdMmTLF3NycwWAUFhYqt2dlZX3yySejD2y4+vv7vby8+vr6np/l7e29ePFicvLw4cOmpqadnZ2qZxEEkZqaio+b1EGf3wmcygFqSCSS4ODg33//XTerUygUCQkJO3fuVG60trbGJz7r1q37448/yHYWi2VkZKSbwJSJRKLq6urVq1d/9tlnnZ2dZHtTU1NJSYny20M9PT27u7tPnDihYhae3Lp1a2pqqs72s6ZAYgJDevLkSXZ29o8//ogQqq6u3rZt24wZM9ra2gQCAZvNdnV1vX//PkKotrY2OTmZw+E0NDT4+/tbWlq6urpWVlYihHJzc83MzOzt7RFCnZ2dWVlZLBYLPztSUFBQV1cnFotjY2P37duHECovL7e3t//uu++0sS3Hjh3r6OjgcDiD2v39/ZOSklpbW0NCQvr6+l743fz8/C1btiQmJi5btiw5OVkmk6neIQghgiBycnI2btzo5ubm6+v722+/qRPk5cuXpVKpSCSKj4/ncDgXLlzA7bW1tQghR0dHckn8uaKiQsUsPGliYuLs7Lx79251AqARqg/ZCAJO5bRvBIfo5eXl+MG3/Px8giCampqWLFmCEIqPj//111+Li4snTJiwevVqgiDKyso4HI6enl5CQsLly5dFIpGVlZWxsXFjYyNBEL6+vlOnTiW7dXZ25nK5+POKFSscHBzIWUVFRa+88srXX3893K1T5/ezdOnS4ODgQY1z584lCEKhUOBNS0hIwO05OTnk6c/+/fs9PDzkcjlBEGKx2NHR0dPTc2BgQMUOIQgiIyPjiy++IAiiv7+fy+Xa2tpKJBJ1tqWvr+/GjRsCgYDJZLJYrDt37hAEkZ2djRA6d+6c8pJGRkaLFi1SMYucTEtLMzc37+/vf+na4VQO0J2Hh4dQKCQnbW1tXVxcEELp6ekcDmfJkiU8Hu/mzZsIIR6P5+bmxmAw9uzZ4+XlFRgY+Omnn0ql0pycHISQsbGxcrf6+kPeb/Hz8+vq6lqzZo02Nqeurs7KyuqFs5hM5smTJ+3t7Q8cOFBQUKA8q6WlRSgUbtiwAb8JxsrKaseOHWVlZSdOnFCxQxobG7OysnBpKj09vaCgoObm5sLCQnXi1NfXnz9//vHjx/Py8mQyGf4naGhoQAiZmpoqL2lqavr48WMVs8hJGxubjo4OfGw1VsBdOTCkQTkFF/YmM4uZmRl+cBfP0tfXJ9/jFBAQYGho+Msvvwx3jVp6ea9EIqmvr584ceJQC7DZbJFIxOPxoqOj586dS7ZXVlZKJBJ8KoqtWLECIXTlypXIyMihdkhFRUVfX198fDz5rZiYmFdeeWVYMQcGBgYGBlZXVyOEcABSqVR5AalUOm3aNBWzyEkLCwuE0OPHj+fMmTOsGCgEiQlonoGBgZ2dnfL4IGrh+1wDAwMqlnFxcTl48GB8fHxwcHBkZCRON/hdnq2treRibDYbn6Wq6Kqurs7ExOTo0aOjDJvH4/30008Ioddeew0h1NHRQc6Sy+U9PT2zZs1SMYtsYTKZCKHhZkZqwakc0Aq5XK78t0Etc3NzFovV3t6uerG4uDiBQHDz5k1y4M/06dMRQuQlbZLqTTM2Nn706NGjR4+UG8Vi8bDjfrYiPBZUeaQr/ky+O+uFs8gWnFiff/0fnUFiAprX0tLS3NwcFBSEENLX1+/u7lYoFHhWd3c3eeTCZDIH3QhTfVAzYgwGY8GCBYMOcwiCIE9FSUeOHJk3b15TUxOe5HK5ZmZmZ86cIRdoaGiQSqWrVq1Ssbo5c+YQBLF9+3aypaWl5fjx48MNu6ysTCAQIISmTJni6elZWlpKziotLTU0NOTz+SpmkS248LGlpeVwA6AQJCYwpJ6eHoRQb28vnpTL5Qgh8gRNIpH09PQQz554kMlk5EWl9PT0iIgINzc3hNCcOXPa29szMjLu3r27a9cumUx29+7dW7duIYTs7Oyam5urq6tLS0ulUmlxcbGFhUV+fr42tiUsLOzatWuE0vMZ9fX1jY2N5NZhLBZLJBKRV6PYbHZGRsa1a9dKSkpwy8GDByMjIxcvXqxih/j4+Li4uHzzzTd8Pv+rr7768MMPw8PDo6KiEEKbNm1auHDhvXv3no/w6tWrb7311oEDB3AS//bbb01NTcPDw/HcvXv3lpeX//zzz3i9hw4dSklJsbGxUT0Lq6ioeOeddzSwE3WJyluCzyAYLqBlI7gN/OOPP65cuRIh5OXlVVFRcenSJTxAZtOmTS0tLSdOnJgwYQJC6KOPPurv74+JiTEwMIiKigoKClq/fv3OnTsVCgXup6OjY+XKlaamplwut6qqKjo6WiAQFBUVEQRRU1Njb28/c+bMvLw8giAuXbo0efLkM2fODHfr1Pn9yOVyR0fHiooKPFlQUPD2228jhAICAq5evTpo4aKiosOHD5OTBQUFvr6+mzdvFgqFmZmZAwMDOFoVO+Tp06fh4eGTJk2ytrZeu3ZtQ0MD7srPz4/JZG7fvv35CB88eODt7W1pabl48eIdO3Y8vx+qqqpCQ0OTkpLCwsKys7NxGC+dJZVKLS0t8bCDl6LPcAF6BAGJScu0/YOLiYlhsVja6181NX8/VVVVq1at0kE8qpWVlX388cc6W11ycnJmZqaaC9MnMY3hU7nu7m6qQwBjibOz85o1a0Z/s2w0urq6CgsL8VPEOnD+/HmFQpGYmKib1WnQmExMR48e9fHxocNdhvPnzy9fvhxXqFiwYMHChQvnzZvH5XK3b98+5p5OGg2ZTIZvyVMdyEuEhoY6ODh8//33VAVw+/bt1NRUfNKnbTU1NZ2dnRkZGTpYl+ZRfchGEMM/levv71+4cKGtra32QlIffvjz1VdfJVt++umnZcuW6enp7dixg7zUQi2tHqLjAkYIoffff//HH3/U0lpUGO7vBwyFPqdyY3KApZ6e3tSpU194a0P38NtBlEevubi4FBUVrV27dvfu3SYmJjt27KAuOl1ISUlJSUmhOgowrozJUzlaeeFrhJlM5uHDhydNmpSeno5HDwMA1DeWEtPZs2fj4uK2b9/+17/+lRwCh4YoMaG6KkVNTY1AINi7d29CQsKmTZtU9INGWo7D3Nw8JCREKpWS77/VdpwAjB/UnkliSI1rBF9//TWXy8UD2MRisbW1NXmN6YUlJlRXpZg9e3Z5eTlBEDKZbOXKlSr6IV5WjgM/6DB79uznZ+FiXQKBQDdxqkCfawfaoM7vB6iDPr8TegTxsh+WRCKZPHnyyZMnyZbAwECcmBoaGmxsbMhrzLjk2KlTpwiCSEpKQgiJxWI8a/ny5Y6OjgRB4AG7hw4dwu0FBQWq+yEIQkUtGxWJ6YcffkAI4eqxuolzKPT5wWkDJCZNoc/vZGxc/L569WpTU9Obb75JthgaGuIPKkpMDFWVwsDAwMfH57333qutrd29e/e7776ruh800nIc+JnvmTNn6ixO1U6fPj2CrRgTrl+/TnUI4wF9duPYSEx37txBCJHlfpSNrMREbm7u6tWrjxw5IhKJ8vLyPD09NVWqQhkO28nJiSZxhoaGjuBbY0JWVlZWVhbVUQCNGRsXv/Hx0Qtvb42sxISJickPP/zw1VdfIYR8fX3v3LmjwVIVGEEQeXl5EyZMwKXF6BAn1Yfn2oLgVE5DyBs1lBsbiemtt95CCOXl5ZEtAwMD+CHsEZSYkMlkR44cQQhFRERUVlYODAxcunRJdT8qynEQQwx3/uSTT3755Zd9+/ZNmTJFZ3ECMD6MjVM5Dw+PRYsWHT9+fP78+WvXrv3111/Ly8ufPHnyzTff+Pv74xITvb2977777r179yoqKk6ePIlUluk4duzY5s2b8UBNc3Nz/BzJUP0UFxfz+fzPP/8cFxgaBF9IUq5t+vDhw08++SQ7O/u9996LjY3FjWQpDO3FCcD4QeFxIwmpcSje3t4eFRVlY2Mzbdq0jz76KC4uLioq6uLFiwqF4oUlJlRUpZBIJC4uLsuXL9+7d29cXNzRo0fxKoYqVaGiHMcPP/ywfPlyvCcXLlzo7e3t5+f3zjvvJCQkVFdXD1pY23GqQJ+7Ldqgzu8HqIM+vxMGQYMHLxkMRm5ubkhICNWBjFunT58ODQ2lw7+1NsDvR1Po8zsZG9eYAAB/KpCYABgz7t+/L5FIqI5CFyAxgT+1CxcuFBYWnjp1Cr9uhMfjKb91qq2tDRd1MTExEQqFT58+1XF4XV1dFhYWjGf4fL6JiQmedePGDT6fn5iYGBcX9+WXX+LGmpoa/A5hHcepcWPjrhyguaampsmTJ9Ohk2HJyckhCALXk/T29razsysvL09OTiZf3zRx4kShUNja2trX15eWlqbL2LBjx47x+fwZM2bgSV9fX/yhpqbGy8uruLjY3d29t7fXycmpp6dnw4YNTk5OMpnsgw8+IDdhrKL00vu/IbiromVavdvS0dGBnwekqpOR/X4uXrwYFBSk3DJlyhRzc3MGg1FYWKjcnpWV9cknn4wsttHo7+/38vLCpUEH8fb2Xrx4MTl5+PBhU1PTzs5OPJmamoqPm4aLPnfl4FQOjIpEIgkODh5lHWGNdDIsCoUiISFh586dyo3W1tb4nGjdunW4MCnGYrGMjIx0FhtJJBJVV1evXr36s88+6+zsJNubmppKSko8PT3JFk9Pz+7ublzNAiG0devW1NTUMV3cGRIT+A/5+flbtmxJTExctmxZcnKyTCZDCOXm5pqZmdnb2yOEOjs7s7KyWCyWu7s7QqigoKCurk4sFsfGxu7bt6+2tjY5OZnD4TQ0NPj7+1taWrq6ulZWVg6rEzTSGljqO3bsWEdHB4fDGdTu7++flJTU2toaEhIy6GWcqneR6rpaxIhKaF2+fFkqlYpEovj4eA6Hc+HCBdxeW1uLEMLD3zD8uaKiAk+amJg4Ozvv3r1b/R1CO1QfshEEnMppn5qH6Pv37/fw8JDL5QRBiMViR0dHT09P/JIyX1/fqVOnkks6OztzuVz8ecWKFQ4ODvhzWVkZh8PR09NLSEi4fPmySCSysrIyNjZubGxUvxPiZTWwBhnB72fp0qXBwcGDGufOnUsQhEKhwBWyEhIScHtOTg55ZjTULlJdV2sEJbSwvr6+GzduCAQCJpPJYrHw6+Gys7MRQufOnVNe0sjIaNGiReRkWlqaubm5inI9LwSncoB2WlpahELhhg0bcBUHKyurHTt2lJWV4RMEY2Nj5YXJIi2D8Hg8Nzc3BoOxZ88eLy+vwMDATz/9VCqV5uTkqN8JQsjPz6+rq2vNmjWj364Xqqurs7KyeuEsJpN58uRJe3v7AwcOFBQUKM9SsYtsbW1dXFwQQunp6RwOZ8mSJTwe7+bNmwihxsbGrKysyMhIhJCenl5QUFBzc3NhYaE6cerr68+fP//48eN5eXkymUwoFCKEGhoaEEKmpqbKS5qamj5+/JictLGx6ejowMdWYxEkJvBvlZWVEokEn2phuC7ClStXhtWPnp6evr4+WaMmICDA0NCQfHv4sPoZ7lfUJJFI6uvryfeAP4/NZotEIiMjo+jo6H/9619ku+pdNFRdLbKEVmxsbGxs7J07d9QvoUUKDAwMDAysrq5GCOEAlB/PxJPTpk0jJy0sLBBCyqlqbIHhAuDfcFWZ1tZWsoXNZuOzsNF0a2BgYGdnpzw4iHL4PpeKihEIIRcXl4MHD8bHxwcHB0dGRuJ0M7JdpKlSXzwe76effkIIvfbaa+jZ0+OYXC7v6emZNWsW2cJkMtF/vrxnbIEjJvBv06dPRwiR12tJyj/3kZHL5aPvRIPMzc1ZLBauiaxCXFycQCC4efMmOSZoZLtIg6W+8IrwWNAHDx6Q7fjz7NmzyRacPenwUtiRgcQE/o3L5ZqZmZ05c4ZsaWhokEqlq1atQgjp6+t3d3fjGlgIoe7ubvKIg8lkDnUDCyHU0tLS3NyMK8YMqxPVRzSjgV+bPOgwhyAIfOal7MiRI/PmzSNfyaN6Fw1FUyW0ysrKBAIBQmjKlCmenp6lpaXkrNLSUkNDQz6fT7aIxWJbW1tLS8vhroUmIDGBf2Oz2RkZGdeuXSspKcEtBw8ejIyMXLx4MUJozpw57e3tGRkZd+/e3bVrl0wmu3v37q1btxBCdnZ2zc3N1dXVpaWl+MKHTCYjLyqlp6dHRES4ubkNq5Pi4mILC4v8/HwtbWxYWNi1a9cIpUc36uvrGxsbe3t7lRdjsVgikYi8GqV6Fw1VV4ssxcXn87/66qsPP/wwPDw8KioKIbRp06aFCxe+8NWtV69efeuttw4cOIDz+LfffmtqahoeHo7n7t27t7y8/Oeff8brPXToUEpKio2NDfn1ioqKd955RyP7ihqU3hP8NwTDBbRM/dvABQUFvr6+mzdvFgqFmZmZeKwAQRAdHR0rV640NTXlcrlVVVXR0dECgaCoqIggiJqaGnt7+5kzZ+bl5REEERMTY2BgEBUVFRQUtH79+p07d5LvdFG/ExU1sJ43gt+PXC53dHSsqKggt/rtt99GCAUEBFy9enXQwkVFRYcPH1a9i1TU1erv7x+qhJafnx+Tydy+ffvzET548MDb29vS0nLx4sU7dux4fldUVVWFhoYmJSWFhYVlZ2eT/1IEQUilUktLSzy2YFjoM1yAHkFAYtIyXf7gYmJiWCyWbtaFjez3U1VVtWrVKm3EMyxlZWUff/yxZvtMTk7OzMwcwRfpk5jgVA78STk7O69Zs0az78UZrq6ursLCQvwUsaacP39eoVAkJiZqsE/dg8QENEwmk+H78VQH8nKhoaEODg7ff/89VQHcvn07NTUVn/RpRE1NTWdnZ0ZGhqY6pAqMYwKatGvXrrNnzyoUim3btoWEhLi6ulId0Uv4+PhQuHYPDw/Ndujk5ITfYzjWQWICmpSSkpKSkkJ1FGDMg1M5AADtQGICANAOJCYAAO1AYgIA0A5dXnjJ5XKnTp1KdSDj1qNHjyorK1/4ivNxID8/H34/GoF/J7TICXQIIjg4mOoQwGjhh+PmzJlDdSBgtPLy8qgOgR6JCYwD+A3dp0+fpjoQMB7ANSYAAO1AYgIA0A4kJgAA7UBiAgDQDiQmAADtQGICANAOJCYAAO1AYgIA0A4kJgAA7UBiAgDQDiQmAADtQGICANAOJCYAAO1AYgIA0A4kJgAA7UBiAgDQDiQmAADtQGICANAOJCYAAO1AYgIA0A4kJgAA7UBiAgDQDiQmAADtQGICANAOJCYAAO1AYgIA0A4kJgAA7UBiAgDQDiQmAADtQGICANAOJCYAAO1AYgIA0A4kJgAA7TAIgqA6BjAm/eMf/9i/f79CocCTYrEYIcRms/Gknp7e1q1b165dS1l8YCyDxARG6O7du7NmzVKxwP/93//NnDlTZ/GA8QRO5cAIzZw508nJicFgPD+LwWA4OTlBVgIjBokJjNzatWv19PSeb9fX11+3bp3u4wHjBpzKgZFrbGy0t7cfGBgY1M5gMOrr66dMmUJJVGAcgCMmMHJ2dnYLFixgMv/jV8RkMj08PCArgdGAxARGJTIyclALg8GAm3FglOBUDoxKW1ubjY1NX18f2aKvr9/c3GxlZUVhVGCsgyMmMCoTJ0708fEhL4Hr6ektXboUshIYJUhMYLQiIiLI698EQURERFAbDxgH4FQOjJZUKrWysurt7UUIsVgssVhsYmJCdVBgbIMjJjBaxsbGAQEBBgYGBgYGAQEBkJXA6EFiAhqwZs2avr6+vr6+NWvWUB0LGA/0KVnr9evX6+vrKVk10AaFQmFsbEwQRGdn5+nTp6kOB2iMvb29u7s7BSsmqBAUFETBpgIAhikoKIiSFEHNERPe4Ly8PKrWDoZy+vTp0NBQYvi3REpLSxkMhqenpzai0hQGg5GbmxsSEkJ1IGNDcHAwVaumLDGBcYbH41EdAhg/IDEBzRj0xBwAowE/JgAA7UBiAgDQDiQmAADtQGICYDy4f/++RCKhOgqNgcQENODSpUtcLvfBgwdUB6JJFy5cKCwsPHXq1BtvvMFgMHg8Xn9/Pzm3ra0tLS1twoQJJiYmQqHw6dOnOg6vq6vLwsKC8QyfzycfBrpx4wafz09MTIyLi/vyyy9xY01NTXZ29ggGglAC7soBDWhra6uvr9fq/9hNTU2TJ0/WXv+D5E8ZgrAAACAASURBVOTkEASxceNGhJC3t7ednV15eXlycvKePXvwAhMnThQKha2trX19fWlpaToLjHTs2DE+nz9jxgw86evriz/U1NR4eXkVFxe7u7v39vY6OTn19PRs2LDByclJJpN98MEH5CbQGSQmoAF8Pp/P52uv/87OzsjIyIsXL2pvFcpKSkpKSkrIAcDW1tY2Njbd3d2ZmZk8Hm/FihXkkg4ODuSb9XRJoVCcPXu2uLhYX3/wn/D777/v5uaGnyNhsVjvvffetm3bwsPDzczMXF1df/jhh8OHD//lL3/RfczDAqdygO4kEklwcPDvv/+um9UpFIqEhISdO3cqN1pbW+NzonXr1v3xxx9kO4vFMjIy0k1gykQiUXV19erVqz/77LPOzk6yvampqaSkRHn8vaenZ3d394kTJ/Dk1q1bU1NTdbYzRwwSE9CAJ0+eZGdn//jjjwih6urqbdu2zZgxo62tTSAQsNlsV1fX+/fvI4Rqa2uTk5M5HE5DQ4O/v7+lpaWrq2tlZSVCKDc318zMzN7eHiHU2dmZlZXFYrHwf/sFBQV1dXVisTg2Nnbfvn0IofLycnt7+++++04b23Ls2LGOjg4OhzOo3d/fPykpqbW1NSQkRLmUsLL8/PwtW7YkJiYuW7YsOTlZJpOp3iEIIYIgcnJyNm7c6Obm5uvr+9tvv6kT5OXLl6VSqUgkio+P53A4Fy5cwO21tbUIIUdHR3JJ/LmiogJPmpiYODs77969W/0dQg1KntALCgqi6uFAoFpubu5wfxXl5eX4eZT8/HyCIJqampYsWYIQio+P//XXX4uLiydMmLB69WqCIMrKyjgcjp6eXkJCwuXLl0UikZWVlbGxcWNjI0EQvr6+U6dOJbt1dnbmcrn484oVKxwcHMhZRUVFr7zyytdffz3crUMI5ebmql5m6dKlwcHBgxrnzp1LEIRCocCblpCQgNtzcnLwFWWCIPbv3+/h4SGXywmCEIvFjo6Onp6eAwMDKnYIQRAZGRlffPEFQRD9/f1cLtfW1lYikaizLX19fTdu3BAIBEwmk8Vi3blzhyCI7OxshNC5c+eUlzQyMlq0aBE5mZaWZm5u3t/f/9JVUPh3CkdMYLQ8PDyEQiE5aWtr6+LighBKT0/ncDhLlizh8Xg3b95ECPF4PDc3NwaDsWfPHi8vr8DAwE8//VQqlebk5CCEjI2Nlbt9/uoJyc/Pr6urS0u1n+rq6oaqWc5kMk+ePGlvb3/gwIGCggLlWS0tLUKhcMOGDQYGBgghKyurHTt2lJWVnThxQsUOaWxszMrKwm+a0dPTCwoKam5uLiwsVCdOfX39+fPnHz9+PC8vTyaT4X+ChoYGhJCpqanykqampo8fPyYnbWxsOjo68LEVbcHFb6ABg3IKfjcBmVnMzMy6urrIWfr6+vivFyEUEBBgaGj4yy+/DHeNL3wD8OhJJJL6+vqJEycOtQCbzRaJRDweLzo6eu7cuWR7ZWWlRCLBp6IYvkZ+5cqVyMjIoXZIRUVFX19ffHw8+a2YmJhXXnllWDEHBgYGBgZWV1cjhHAAUqlUeQGpVDpt2jRy0sLCAiH0+PHjOXPmDGtFugSJCVDJwMDAzs5OeXwQtfr6+giCeP7dwspcXFwOHjwYHx8fHBwcGRmJ083Dhw8RQq2treRibDYbn6Wq6Kqurs7ExOTo0aOjDJvH4/30008Ioddeew0h1NHRQc6Sy+U9PT2zZs0iW/Dj1sNNfzoGp3KAYnK5XPnPhlrm5uYsFqu9vV31YnFxcQKB4ObNm+SYoOnTpyOEyEvaJNWbZmxs/OjRo0ePHik3isXiYcf9bEV4LKjySFf8efbs2WQLzp6vv/76CNaiM5CYAJVaWlqam5txRVN9ff3u7m5yWFB3dzd55MJkMgfdCFN9UDNiDAZjwYIFgw5zCIIgT0VJR44cmTdvXlNTE57kcrlmZmZnzpwhF2hoaJBKpatWrVKxujlz5hAEsX37drKlpaXl+PHjww27rKxMIBAghKZMmeLp6VlaWkrOKi0tNTQ0VB5lJhaLbW1tLS0th7sWXYLEBDSgp6cHIYTf4IQQksvlCCHyBE0ikfT09BDPHoaQyWTkRaX09PSIiAg3NzeE0Jw5c9rb2zMyMu7evbtr1y6ZTHb37t1bt24hhOzs7Jqbm6urq0tLS6VSaXFxsYWFRX5+vja2JSws7Nq1a4TSoxv19fWNjY3k1mEsFkskEpFXo9hsdkZGxrVr10pKSnDLwYMHIyMjFy9erGKH+Pj4uLi4fPPNN3w+/6uvvvrwww/Dw8OjoqIQQps2bVq4cOG9e/eej/Dq1atvvfXWgQMHcBL/9ttvTU1Nw8PD8dy9e/eWl5f//PPPeL2HDh1KSUmxsbEhv15RUfHOO+9oZF9pESX3AmG4AG2NYLjAjz/+uHLlSoSQl5dXRUXFpUuX8NiZTZs2tbS0nDhxYsKECQihjz76qL+/PyYmxsDAICoqKigoaP369Tt37lQoFLifjo6OlStXmpqacrncqqqq6OhogUBQVFREEERNTY29vf3MmTPz8vIIgrh06dLkyZPPnDkz3K1DagwXkMvljo6OFRUVeLKgoODtt99GCAUEBFy9enXQwkVFRYcPHyYnCwoKfH19N2/eLBQKMzMzBwYGcLQqdsjTp0/Dw8MnTZpkbW29du3ahoYG3JWfnx+Tydy+ffvzET548MDb29vS0nLx4sU7dux4fj9UVVWFhoYmJSWFhYVlZ2fjMDCpVGppaYnHFrwUhX+nkJjAfxhBYhqWmJgYFoulvf5VUycxEQRRVVW1atUqHcSjWllZ2ccff6zZPpOTkzMzM9VcGMYxqau7u5vqEMD45+zsvGbNmtHfLBuNrq6uwsJC/BSxppw/f16hUCQmJmqwTy0ZM4np6NGjPj4+9LmV0N7enpKSkpSUpOby58+fX758Oa5QsWDBgoULF86bN4/L5W7fvp3+Dy5pkEwmw7fkqQ7kJUJDQx0cHL7//nuqArh9+3Zqaio+6dOImpqazs7OjIwMTXWoVWMmMUVHR/f29tJkwEtBQcGGDRvS09PVP4Lz8/PD45tfffXViooKfHny0KFDt2/fnjVrVnJyspZuM9HKrl27zp49q1Aotm3bhsfd0JmPj8+yZcuoWruHhweLxdJgh05OTqtXr9Zgh1o1ZhKTnp7e1KlTqY7i3wICAj777LPhfsvMzAz958A2FxeXoqKi1atX7969++OPP9ZkiLSUkpLS0dFBEMS+fftcXV2pDgfQ15hJTHQzgmIXDAbj+UYmk3n48OFJkyalp6fj0cMAALonprNnz8bFxW3fvv2vf/0rOZgNDVEsQnV9iZqaGoFAsHfv3oSEhE2bNqnoZ8RGVo7D3Nw8JCREKpXiO2K03ToAdIeSe4Fq3ob8+uuvuVwuHoomFoutra1tbW3xrBcWi1BdX2L27Nnl5eUEQchkspUrV6roR51NwMPtNm/erNyouhwHftBh9uzZz8/CdbwEAgHlW6ft4QLUQuoNFwAYjGN6AYlEMnny5JMnT5ItgYGBODE1NDTY2NiQA/Nw8bBTp04RBIFvk4nFYjxr+fLljo6OBEHgobeHDh3C7QUFBar7eakXJiaCIFSUuVGRmH744QeEkLe3N+VbB4kJkChMTPStLnD16tWmpqY333yTbDE0NMQfVBSLGKq+hIGBgY+Pz3vvvVdbW7t79+53331XdT8jNrJyHPhx8JkzZ6qOSmdbFxwcPIKtGBMOHDhAFvMGqlVWVnK5XEpWTd/EdOfOHYQQWbhH2ciKReTm5q5evfrIkSMikSgvL8/T01NTRSdGD2+sk5MTGo9bB8Bw0Tcx4eOjhw8fPl84giwWoTyAQCwWs9lsFR2amJj88MMPJ06ceP/99319faurq0fWj8YRBJGXlzdhwgRcWowOWzdejykYDEZCQkJISAjVgYwNFB440/eu3FtvvYX+8y9kYGAAP049gmIRMpnsyJEjCKGIiIjKysqBgYFLly5pquiEMhXjJIkhhjt/8sknv/zyy759+6ZMmYLovXUA6AZ9j5g8PDwWLVp0/Pjx+fPnr1279tdffy0vL3/y5Mk333zj7++Pi0X09va+++679+7dq6ioOHnyJFJZcOPYsWObN2/GAzXNzc3xEyFD9fNSuHrpoFIYxcXFfD7/888/xwWGBsEXkpTLnj58+PCTTz7Jzs5+7733YmNjcSNZCoPCrQOAYpRcclfzan97e3tUVJSNjc20adM++uijuLi4qKioixcvKhSKFxaLUFFfQiKRuLi4LF++fO/evXFxcUePHsWrGKrohGplZWXr169HCE2aNCk3N7epqQm3qyjH8cMPPyxfvhzv84ULF3p7e/v5+b3zzjsJCQnV1dWDFqZw6+CuHCBReFeOQVDxOCU+dx2vFzLGtNOnT4eGhlLyq9ABBoORm5sL15jUROHfKX1P5Sg0depU/KrC5/3jH/8YA9X/ABjjIDG9wKDi8ODP6cKFCzKZTCKRpKWl1dbWLly48PLly+Qgsra2tuzs7MzMTIVCsXXr1r/97W9DvY1Oe9rb2/ft26dQKAYVM7lx40ZGRsb06dM7Ozs9PDzWrVuHEKqpqbl69epf/vKXFz6zSTeQmIBONTU1TZ48mQ6dqJaTk0MQBK7T5u3tbWdnV15enpycTL4WZeLEiUKhsLW1ta+vLy0tTavBvFBBQUFubm5ubu7mzZuV22tqary8vIqLi93d3Xt7e52cnHp6ejZs2ODk5CSTyT744ANyE+iMvsMFwPjT2dmJ3zpLeSeqlZSUlJSUkNUjra2tbWxszM3NMzMzz507p7ykg4PDjBkztBrMUIaqvfP++++7ubm5u7sjhFgs1nvvvbdt2zb8hICrq6upqenhw4d1HevwQWICOiKRSIKDg0dZrlMjnaimUCgSEhJ27typ3Ghtbf3ll18ihNatW/fHH3+Q7SwWawQFcDTl+VU3NTWVlJR4enqSLZ6ent3d3fgpcYTQ1q1bU1NT6V80FRITGKH8/PwtW7YkJiYuW7YsOTkZ3y7Izc01MzPDL6ru7OzMyspisVj4f++CgoK6ujqxWBwbG7tv377a2trk5GQOh9PQ0ODv729paenq6lpZWTmsTtBIS82ocOzYsY6ODg6HM6jd398/KSmptbU1JCRk0EvuVO8T1fVqCI2WpqmtrUUI4WElGP5cUVGBJ01MTJydnXfv3j2ategCJYMU4C0ptKXmOKb9+/d7eHjI5XKCIMRisaOjo6enJ35NkK+v79SpU8klnZ2duVwu/rxixQoHBwf8uaysjMPh6OnpJSQkXL58WSQSWVlZ4Xdqq98J8bJSM4MgNcYxLV26NDg4eFDj3LlzCYJQKBS48kxCQgJuz8nJyc7OVr1PVNerGXHhHeJFJS6ys7MRQufOnVNezMjIaNGiReRkWlqaubm5ijIYJHhLChhLWlpahELhhg0b8CPWVlZWO3bsKCsrw+cLxsbGyguTt7EG4fF4bm5uDAZjz549Xl5egYGBn376qVQqxZXR1ewEIeTn59fV1bVmzZrRbxdWV1c31P01JpN58uRJe3v7AwcOFBQUKM9SsU9sbW1dXFwQQunp6RwOZ8mSJTwe7+bNmwihxsbGrKwsfMlMT08vKCioubm5sLBwxME3NDQghExNTZUbTU1NHz9+TE7a2Nh0dHTgYyvagsQEhq2yslIikeBTLQw/fnzlypVh9aOnp6evr08WkAgICDA0NCRf0jusfob7laFIJJL6+nry/brPY7PZIpHIyMgoOjr6X//6F9muep8MVa+GLE0TGxsbGxt7586dURbewQEoP/aEJ6dNm0ZOWlhYIISUUxUNwXABMGy4NnlrayvZwmaz8VnYaLo1MDCws7Oj9kU4+NVSqt9Y4+LicvDgwfj4+ODg4MjISJxuRrZPNF6a5rXXXkPPnsrE5HJ5T0+PcokOJpOJ/vOlGDQER0xg2KZPn44QIi/fkp4vUDNccrl89J2Mhrm5OYvFwrVGVYiLixMIBDdv3iTHBI1sn5ClaZQbxWLxsON+5o033mAwGA8ePCBb8OfZs2eTLTh70ucVjS8EiQkMG5fLNTMzO3PmDNnS0NAglUpXrVqFENLX1+/u7sYFahBC3d3d5AEIk8kc6n4WQqilpaW5uRkXZhhWJxp8JR9+HemgwxyCIPCZl7IjR47MmzePfEGG6n0yFI2XppkyZYqnp2dpaSnZUlpaamhoyOfzyRaxWGxra2tpaTnitegAJCYwbGw2OyMj49q1ayUlJbjl4MGDkZGRixcvRgjNmTOnvb09IyPj7t27u3btkslkd+/evXXrFkLIzs6uubm5urq6tLQUXweRyWTkRaX09PSIiAg3N7dhdVJcXGxhYZGfn6+prQsLC7t27Rqh9BhzfX19Y2PjoBI3LBZLJBKRV6NU75Oh6tWQJW74fP5XX3314YcfhoeHR0VFIYQ2bdq0cOHCe/fuqQj1hbV39u7di1+nitd76NChlJQUGxsbcoGKioox8LwnJfcCYbgAbalf9qSgoMDX13fz5s1CoTAzMxOPFSAIoqOjY+XKlaamplwut6qqKjo6WiAQFBUVEQRRU1Njb28/c+bMvLw8giBiYmIMDAyioqKCgoLWr1+/c+dO8tUJ6neiotTM85AawwXkcrmjo2NFRQW5mW+//TZCKCAg4OrVq4MWLioqOnz4sOp9oqJeTX9//1Clafz8/JhM5vbt24eKc6jaOwRBVFVVhYaGJiUlhYWFZWdnk/80BEFIpVJLS8s7d+6os7vgLSmALnRZjykmJobFYulmXZg6iYkgiKqqqlWrVukgHtXKyso+/vhjzfaZnJycmZmp5sIwjgkAGnF2dl6zZg2173Ho6uoqLCwkn9fTiPPnzysUisTERA32qSWQmABlZDIZvj1PdSAvEBoa6uDg8P3331MVwO3bt1NTU/FJn0bU1NR0dnYOKpBCWzCOCVBj165dZ8+eVSgU27ZtCwkJcXV1pTqiwXx8fChcu4eHh2Y7dHJywu8HGxMgMQFqpKSkpKSkUB0FoCk4lQMA0A4kJgAA7UBiAgDQDiQmAADtQGICANAPJcM6X/gGbQAA3fy53sR7/fr1+vp63a8XaM+BAwcQQgkJCVQHAjTJ3t4eV1vXMWoSExh/8Hu3T58+TXUgYDyAa0wAANqBxAQAoB1ITAAA2oHEBACgHUhMAADagcQEAKAdSEwAANqBxAQAoB1ITAAA2oHEBACgHUhMAADagcQEAKAdSEwAANqBxAQAoB1ITAAA2oHEBACgHUhMAADagcQEAKAdSEwAANqBxAQAoB1ITAAA2oHEBACgHUhMAADagcQEAKAdSEwAANqBxAQAoB1ITAAA2oHEBACgHUhMAADagcQEAKAdSEwAANqBxAQAoB19qgMAY5VYLO7s7CQnJRIJQuj+/ftky4QJE9hsNgWRgbGPQRAE1TGAMen48ePR0dEqFvj888+joqJ0Fg8YTyAxgRHq6Oiwtrbu6+t74VwDA4MnT56Ym5vrOCowPsA1JjBC5ubmfn5++vovuBqgr6+/fPlyyEpgxCAxgZGLiIhQKBTPtw8MDEREROg+HjBuwKkcGLne3l42m40veyszNjYWi8WvvPIKJVGBcQCOmMDIsViswMBAAwMD5UYDA4OgoCDISmA0IDGBUVmzZs2g6999fX1r1qyhKh4wPsCpHBiV/v5+Gxub1tZWssXCwuLJkycvvCgOgJrgiAmMir6+flhYGHk2Z2BgEBERAVkJjBIkJjBaYWFh5NlcX19fWFgYtfGAcQBO5cBoEQRhb2/f0NCAEJo8eXJDQwODwaA6KDC2wRETGC0GgxEZGWloaGhoaLhu3TrISmD04IgJaMDt27ednJzwhzlz5lAdDhjzqLlIuX///uvXr1OyaqAlpqamCKHU1FSqAwGa5O7uvnXrVt2vl5pTuevXr1dWVlKyaqDao0eP8vPzR/DFV1991cHBQdPhaFh+fv6jR4+ojmLMqKyspOoAgrLbulwuNy8vj6q1g6GcPn06NDR0BP80uBLTjBkztBCUxjAYjISEhJCQEKoDGRuCg4OpWjWMNwGaQfOUBMYWuCsHAKAdSEwAANqBxAQAoB1ITAAA2oHEBDTg0qVLXC73wYMHVAeiSRcuXCgsLDx16tQbb7zBYDB4PF5/fz85t62tLS0tbcKECSYmJkKh8OnTp7qPsL29PSUlJSkpaVD7jRs3+Hx+YmJiXFzcl19+iRtramqys7PHyoBquCsHNKCtra2+vv75UpYa1NTUNHnyZO31P0hOTg5BEBs3bkQIeXt729nZlZeXJycn79mzBy8wceJEoVDY2tra19eXlpams8BIBQUFubm5ubm5mzdvVm6vqanx8vIqLi52d3fv7e11cnLq6enZsGGDk5OTTCb74IMPyE2gMzhiAhrA5/MbGhreeOMNLfXf2dkZGRmppc6fV1JSUlJSgrMSQsja2trGxsbc3DwzM/PcuXPKSzo4OFA1TiIgIOCzzz57vv399993c3Nzd3dHCLFYrPfee2/btm1dXV0IIVdXV1NT08OHD+s61uGDxAToTiKRBAcH//7777pZnUKhSEhI2Llzp3KjtbU1Pidat27dH3/8QbazWCwjIyPdBPa851fd1NRUUlLi6elJtnh6enZ3d584cQJPbt26NTU1VWc7c8QgMQENePLkSXZ29o8//ogQqq6u3rZt24wZM9ra2gQCAZvNdnV1xePCa2trk5OTORxOQ0ODv7+/paWlq6srfjgpNzfXzMzM3t4eIdTZ2ZmVlcVisfB/+wUFBXV1dWKxODY2dt++fQih8vJye3v77777ThvbcuzYsY6ODg6HM6jd398/KSmptbU1JCRkqLfp5efnb9myJTExcdmyZcnJyTKZTPUOQQgRBJGTk7Nx40Y3NzdfX9/ffvttNMHX1tYihBwdHckW/LmiogJPmpiYODs77969ezRr0QWCCkFBQUFBQZSsGqiWm5s73F9FeXk5j8dDCOXn5xME0dTUtGTJEoRQfHz8r7/+WlxcPGHChNWrVxMEUVZWxuFw9PT0EhISLl++LBKJrKysjI2NGxsbCYLw9fWdOnUq2a2zszOXy8WfV6xY4eDgQM4qKip65ZVXvv766+FuHUIoNzdX9TJLly4NDg4e1Dh37lyCIBQKBd60hIQE3J6Tk4OvKBMEsX//fg8PD7lcThCEWCx2dHT09PQcGBhQsUMIgsjIyPjiiy8Igujv7+dyuba2thKJRM3N6e3tRQht3ryZbMnOzkYInTt3TnkxIyOjRYsWkZNpaWnm5ub9/f0v7Z/Cv1M4YgKj5eHhIRQKyUlbW1sXFxeEUHp6OofDWbJkCY/Hu3nzJkKIx+O5ubkxGIw9e/Z4eXkFBgZ++umnUqk0JycHIWRsbKzcrYr6vH5+fl1dXVp65UFdXZ2VldULZzGZzJMnT9rb2x84cKCgoEB5VktLi1Ao3LBhA64ybGVltWPHjrKyshMnTqjYIY2NjVlZWfjymZ6eXlBQUHNzc2Fh4YiDx+X6cKUHkqmp6ePHj8lJGxubjo4OfGxFW3BXDmjAoJyip6eHlDKLmZkZvviKZ+nr65M1wgMCAgwNDX/55ZfhrhGvQuMkEkl9ff3EiROHWoDNZotEIh6PFx0dPXfuXLK9srJSIpHgU1FsxYoVCKErV65ERkYOtUMqKir6+vri4+PJb8XExIzmzVc4AKlUqtwolUqnTZtGTlpYWCCEHj9+TOfKWZCYAJUMDAzs7OyUxwdRq6+vjyCIgYEBFcu4uLgcPHgwPj4+ODg4MjISp5uHDx8ihJTfFsNms/FZqoqu6urqTExMjh49qqHw0WuvvYYQ6ujoIFvkcnlPT8+sWbPIFiaTiRCi+Yv/4FQOUEwulyv/2VDL3NycxWK1t7erXiwuLk4gENy8eZMcEzR9+nT0rPaLMtWbZmxs/OjRo0ElosRi8bDjfgaPBVUe6Yo/z549m2zB2fP1118f8Vp0ABIToFJLS0tzc3NQUBBCSF9fv7u7W6FQ4Fnd3d3kkQuTyRx0I0z1Qc2IMRiMBQsWDDrMIQiCPBUlHTlyZN68eU1NTXiSy+WamZmdOXOGXKChoUEqla5atUrF6ubMmUMQxPbt28mWlpaW48ePjzj+KVOmeHp6lpaWki2lpaWGhoZ8Pp9sEYvFtra2lpaWI16LDkBiAhrQ09ODEMI3iRBCcrkcIUSeoEkkkp6eHuLZwxAymYy8qJSenh4REeH2/9o795imzjeOvxSQRq5DbjLY2BKYI3PoxqUbFy8MpjBA5FIuwloKzBA2x4ZBBaJcqxSHARE3w5ZNBwKSQkiJDGFaoEOZjrKIhLgsjutYcVwbSyjn98ebnDCgx7bQnoO/9/NX+55znvO8L/TJOe/7vN/HwwMAsHPnzqmpKS6XOzg4mJ+fL5PJBgcHHzx4AACwtbUdHx/v7e29c+eOVCptbW01MzNTT2nzuURHR3d1dWHLtm4MDQ2Njo7ivYPQ6fT6+np8NsrCwoLL5XZ1dbW1tcGW0tLSuLi4/fv3EwyIn5+fm5tbVVVVWFjY1atXT58+HRsby2azAQApKSleXl6PHz8mcBXOJa1wrKioqLOz87fffoP3LSsry8rKsra2xk8QiUQHDx5Ub3C0BylrgShdgLKokS5w9+7doKAgAMDevXtFIlF7ezvMnUlJSZmYmLh27ZqJiQkA4MyZM4uLi4mJifr6+mw2Ozw8nMPh5OTkyOVyaGd6ejooKMjIyIjBYPT09CQkJLBYLIFAgGGYWCy2t7d3cnKqq6vDMKy9vX379u0NDQ2q9g4okS6wsLDg6OgoEongVz6fv2/fPgBAaGhoR0fHipMFAkF5eTn+lc/n+/v7p6amZmdn83i8paUl6C3BgExOTsbGxlpZWVlaWsbHx4+MjEBTAQEBNBotIyNDkZ9CoZDD4QAArKysampqxsbG8EM9PT1MJvPkyZPRZbBIAgAADJpJREFU0dEXL16EbkCkUqm5ufnAwIAyw0Xi7xQFJsR/UCMwqURiYiKdTtecfWKUCUwYhvX09AQHB2vBH2KEQuHZs2c31mZmZiaPx1PyZJTHhEBQCFdX15iYmA1cLFOD2dnZpqYmfL/ehtDc3CyXy9PT0zfQpobYZIFpbm6ObBcQ60Imk8ElebIdeQ5MJtPBweHmzZtkOdDX15ebmwtf+jYEsVg8MzPD5XI3yqBG2TSB6cqVK35+fhRZ46yqqnJ1dTUxMXF3dxcIBMpc0tzcHBgYqKOjA9d9vLy8du/ezWAwMjIyqL+jcqPIz89vbGyUy+XHjx+/d+8e2e48Bz8/vwMHDpB1d09PTzqdvoEGXVxcoqKiNtCgRtk0gSkhIeHZs2dUyMQrKSmpqqqKi4vjcDj9/f1BQUG3bt167lUBAQFw48Wrr74qEonguklZWVlfX98bb7yRmZmpofVvSpGVlTU9PY1hWHFxsbu7O9nuIKjLpsn81tXVtbOzI1491QJzc3O//vorLsoTFRX1/vvv83g8uEuTGGNjY/DfjFs3NzeBQBAfH19YWGhoaHjq1CkNuY1AbC42zRMTRbh7925WVhb+1cPD45133lEyXOro6KxupNFo5eXlVlZWBQUFcFsDAoGgemBqbGxMTk7OyMj47LPP8CxboEDFhlj4RiwWs1isoqKitLS0lJQUAjsE+Pr6rpjnMjExwUtjq6cTZGpqGhkZKZVK4VI9ib1DIKgCKUkKSuZH/PjjjwwGA+bISiQSS0tLGxsbeGhNFRti4ZsdO3Z0dnZiGCaTyYKCggjsKN+RxcVFS0vLyspK+JVYJwjuwNqxY8fqQ1BgkMVikd47TecxkQtQLo8JAUEJlmswPz+/ffv26upqvOXw4cMwMI2MjFhbW+MZw1DV8Pr16xiGwYoREokEHgoMDHR0dMQwDO4JKCsrg+18Pp/YjpI0NDTs2rVrueYWgf4WQWBqaWkBAPj6+pLeOxSYEDgkBibqTn53dHSMjY299dZbeMuWLVvgBwIVG0XCN/r6+n5+fseOHevv7y8sLDx06BCxHWVYWFgoKiqqra1drg2knk4Q1KlwcnKiSO/WnA57MWAymUwmk2wvNg1wf7X2oW5gGhgYAADgimLLUU/FpqamJioqqqKior6+vq6uzsfHZ51qOCdOnCgsLFyur6w2sLMuLi6AGr3DZ7teMJhM5ueffw6lxBHPpaSkhKxbUzcwweejJ0+erFa0wVVs7Ozs8EaJRGJhYUFg0NDQsKWl5dq1a19++aW/v39vb696diCXLl3y8fHZs2ePar1aCwzD6urqTExMoOYhFXoXGRm5jg5RFyaT+d57772ovdtw6urqyLo1dVfl3n77bfDfoVlaWoJiPWqo2MhksoqKCgDAkSNHuru7l5aW2tvb1VbDqaqqotPp8I0J0tnZiTup6CpMwT6M8+fP//7778XFxS+//DIVeodAkA51n5g8PT337Nnz3Xffvfvuu/Hx8Q8fPuzs7Pznn3+qqqpCQkKgis2zZ88OHTr0+PFjkUhUXV0NCJWAKisrU1NTYaKmqakp3BGiyA4Bzc3NZWVlLBbr66+/BgBgGPbw4cM333zTy8urtbU1LCzs22+/XfPNHE4kLddjfvLkyfnz5y9evHjs2LGkpCTYiGv0kNI7BIISkDLlruRs/9TUFJvNtra2fuWVV86cOZOcnMxms2/duiWXy9dUsSEQvpmfn3dzcwsMDCwqKkpOTr5y5Qq8hSI1HEXcu3dv9fyxgYHB5OQkRqgT1NLSEhgYCM/38vLy9fUNCAg4ePBgWlpab2/vipPJ6h2GVuUQyyBxVU4HI2Ofd0REBCD1DRahiNraWiaTScp/hRbQ0dGpqalBc0xKQuLvlLqvciRiZ2cHa6iu5ocfftgEsqQIxCaHupPfJDI8PPyPAlBU+r/lp59+ampqun79OqxE4u3tvVzr4t9//83LyzMxMTE0NMzOzp6cnNS+h1NTU1lZWTALFyIWi2GhYO07s05QYEJoleUbHsk1ohKXL1/+448/goKCoqKibt++raen19nZmZmZiZ/w0ksvZWdnczgcNpudl5enqJav5uDz+UePHi0oKFgupuji4uLu7n7ixAktO7N+UGBCaI+ZmRlYDpt0IyrR1tbW1taGq9xaWlpaW1ubmpryeDxcAAfi4ODw+uuva9M3nNDQ0G+++WZ1u7u7u5GRUXl5ufZdWg8oMCG0xPz8fERExDrlOjfEiErI5fK0tLScnJzljZaWlt9//z0A4OOPP/7rr7/wdjqdbmBgoDXfVqDo1l988UVubu7mEkpFgQmhJjdu3Pj000/T09MPHDiQmZkJlwtqamqMjY3t7e0BADMzMxcuXKDT6XALCJ/Pf/TokUQiSUpKKi4u7u/vz8zMdHZ2HhkZCQkJMTc3d3d37+7uVskIUFdqRnkqKyunp6ednZ1XtIeEhJw8efLp06eRkZErinESDxGxfA2mAaUaQ0NDV1fXwsLC9ZvSHqQkKaDyTZRFyTymr776ytPTc2FhAcMwiUTi6Ojo4+MD65f5+/vb2dnhZ7q6ujIYDPj5o48+cnBwgJ+FQqGzs7Ourm5aWtrPP/9cX1+/bdu2rVu3jo6OKm8Ee57UzAqA6nlMH374YURExIrGXbt2YRgml8uhEE1aWhpsv3z5MpxsxhQPEbF8zXp0eGDly9TU1NWH8vLyTE1NCaQv1gSVb0JsJiYmJrKzs48ePQq3WG/btu3UqVNCoRCqSm3dunX5ybgWwgq8vb09PDx0dHTOnTu3d+/ew4cPX7p0SSqVQmV0JY0AAAICAmZnZ2NiYtbfrzV59OiRoplsGo1WXV1tb29fUlLC5/OXHyIYIhsbGzc3NwBAQUGBs7PzBx984O3tff/+fQDA6OjohQsX4Ayarq5ueHj4+Ph4U1PT+nthbW09PT3d39+/flPaAQUmhMp0d3fPz8/DVy0I3H58+/Ztlezo6urq6enhAhKhoaFbtmzBq4erZEfVS5Rkfn5+aGgIrwO+GgsLi/r6egMDg4SEhD///BNvJx4iRfI1uFJNUlJSUlLSwMCASjo8BJiZmQEA/v777/Wb0g4owRKhMlCb/OnTp3iLhYUFfAtbj1l9fX1bW1sqFMLBgSXwiAvYuLm5lZaWfvLJJxEREXFxcTDcqDdE69ThIYBGo4H/FsKgOOiJCaEyr732GgAAn6/FWS1QoyoLCwvrN7KBmJqa0ul0KD1KQHJyMovFun///rlz52CLekOEK9Usb5RIJCr7vQoYIilSllEZUGBCqAyDwTA2Nm5oaMBbRkZGpFJpcHAwAEBPT29ubg4K1AAA5ubm8CcOGo2maAELADAxMTE+Pg6FGVQyormSfLA66YrHHAzD4JvXcioqKnbv3o1nfhIPkSI0p1QjkUhsbGzMzc3Xb0o7oMCEUBkLCwsul9vV1dXW1gZbSktL4+Li9u/fDwDYuXPn1NQUl8sdHBzMz8+XyWSDg4MPHjwAANja2o6Pj/f29t65cwfKv8hkMnxSqaCg4MiRIx4eHioZaW1tNTMzu3HjhoY6Gx0d3dXVhS3b1TE0NDQ6OgqXwHDodHp9fT0+G0U8RIrka3DFm7CwsKtXr54+fTo2NpbNZgMAUlJSvLy8iAuFwSFd4RhEJBJtst1UpKwFonQByqK87Amfz/f3909NTc3OzubxeDBXAMOw6enpoKAgIyMjBoPR09OTkJDAYrEEAgGGYWKx2N7e3snJqa6uDsOwxMREfX19NpsdHh7O4XBycnLw0gnKGyGQmlkNUD1dYGFhwdHRUSQS4b3et28fACA0NLSjo2PFyQKBoLy8nHiICORrFhcXFSnVBAQE0Gi0jIwMRX4KhUIOhwMAsLKyqqmpGRsbww9JpVJzc/OBgQGVOo6hKikI6qBNPabExEQ6na6de0HUCEwYhvX09AQHB2vCH5UQCoVnz55V48LMzEwej6fGhSiPCYGgLq6urjExMZpYLFOe2dnZpqYmfL+e8jQ3N8vl8vT0dE14pTlQYEKQhkwmg+vxZDvyfJhMpoODw82bN8lyoK+vLzc3F770KY9YLJ6ZmeFyuRrySnOgPCYEOeTn5zc2Nsrl8uPHj0dGRrq7u5Pt0XPw8/Mj8e6enp5qXOXi4gJrgm06UGBCkENWVlZWVhbZXiAoCnqVQyAQlAMFJgQCQTlQYEIgEJQDBSYEAkE5SJv8Hh4erq2tJevuCEX88ssvAIAX+E8DO4hQhuHhYTs7O3LuTUpa55oVtBEIBNX4/6rEi0AgEASgOSYEAkE5UGBCIBCUAwUmBAJBOVBgQiAQlON/3Tx6+wjjqpgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tensorflow.keras.utils.plot_model(model, show_shapes=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a990d6e6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Interpreting Model\n",
      "Topology:\n",
      "Layer name: input_1, layer type: Input\n",
      "Layer name: conv1d, layer type: Conv1D\n",
      "  -> Activation (relu), layer name: conv1d\n",
      "Layer name: conv1d_1, layer type: Conv1D\n",
      "  -> Activation (relu), layer name: conv1d_1\n",
      "Layer name: dense, layer type: Dense\n",
      "  -> Activation (relu), layer name: dense\n",
      "Layer name: dense_1, layer type: Dense\n",
      "  -> Activation (relu), layer name: dense_1\n",
      "Layer name: dense_2, layer type: Dense\n",
      "  -> Activation (sigmoid), layer name: dense_2\n",
      "-----------------------------------\n",
      "Model\n",
      "  Precision:         ap_fixed<16,6>\n",
      "  ReuseFactor:       1\n",
      "  Strategy:          Latency\n",
      "LayerName\n",
      "  input_1\n",
      "    Precision\n",
      "      result:        ap_fixed<16,6>\n",
      "  conv1d\n",
      "    Precision\n",
      "      weight:        ap_fixed<16,6>\n",
      "      bias:          ap_fixed<16,6>\n",
      "      result:        ap_fixed<16,6>\n",
      "    ReuseFactor:     1\n",
      "  conv1d_relu\n",
      "    Precision:       ap_fixed<16,6>\n",
      "    ReuseFactor:     1\n",
      "    table_size:      1024\n",
      "    table_t:         ap_fixed<18,8>\n",
      "  conv1d_1\n",
      "    Precision\n",
      "      weight:        ap_fixed<16,6>\n",
      "      bias:          ap_fixed<16,6>\n",
      "      result:        ap_fixed<16,6>\n",
      "    ReuseFactor:     1\n",
      "  conv1d_1_relu\n",
      "    Precision:       ap_fixed<16,6>\n",
      "    ReuseFactor:     1\n",
      "    table_size:      1024\n",
      "    table_t:         ap_fixed<18,8>\n",
      "  dense\n",
      "    Precision\n",
      "      weight:        ap_fixed<16,6>\n",
      "      bias:          ap_fixed<16,6>\n",
      "      result:        ap_fixed<16,6>\n",
      "    ReuseFactor:     1\n",
      "  dense_relu\n",
      "    Precision:       ap_fixed<16,6>\n",
      "    ReuseFactor:     1\n",
      "    table_size:      1024\n",
      "    table_t:         ap_fixed<18,8>\n",
      "  dense_1\n",
      "    Precision\n",
      "      weight:        ap_fixed<16,6>\n",
      "      bias:          ap_fixed<16,6>\n",
      "      result:        ap_fixed<16,6>\n",
      "    ReuseFactor:     1\n",
      "  dense_1_relu\n",
      "    Precision:       ap_fixed<16,6>\n",
      "    ReuseFactor:     1\n",
      "    table_size:      1024\n",
      "    table_t:         ap_fixed<18,8>\n",
      "  dense_2\n",
      "    Precision\n",
      "      weight:        ap_fixed<16,6>\n",
      "      bias:          ap_fixed<16,6>\n",
      "      result:        ap_fixed<16,6>\n",
      "    ReuseFactor:     1\n",
      "  dense_2_sigmoid\n",
      "    Precision:       ap_fixed<16,6>\n",
      "    ReuseFactor:     1\n",
      "    table_size:      1024\n",
      "    table_t:         ap_fixed<18,8>\n",
      "-----------------------------------\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/users/russelld/miniconda3/envs/hls4ml-tutorial/lib/python3.8/site-packages/hls4ml/converters/__init__.py:15: UserWarning: WARNING: Pytorch converter is not enabled!\n",
      "  warnings.warn(\"WARNING: Pytorch converter is not enabled!\")\n"
     ]
    }
   ],
   "source": [
    "import hls4ml\n",
    "config = hls4ml.utils.config_from_keras_model(model, granularity='name')\n",
    "print(\"-----------------------------------\")\n",
    "plotting.print_dict(config)\n",
    "print(\"-----------------------------------\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "ace8fe06",
   "metadata": {},
   "outputs": [],
   "source": [
    "config['LayerName']['conv1d']['ReuseFactor'] = 10\n",
    "config['LayerName']['conv1d_relu']['ReuseFactor'] = 10\n",
    "config['LayerName']['conv1d_1']['ReuseFactor'] = 10\n",
    "config['LayerName']['conv1d_1_relu']['ReuseFactor'] = 10\n",
    "config['LayerName']['dense']['ReuseFactor'] = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "06257df8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ca8da4a8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Interpreting Model\n",
      "Topology:\n",
      "Layer name: input_1, layer type: InputLayer, input shapes: [[None, 10, 14]], output shape: [None, 10, 14]\n",
      "Layer name: conv1d, layer type: Conv1D, input shapes: [[None, 10, 14]], output shape: [None, 10, 50]\n",
      "Layer name: conv1d_1, layer type: Conv1D, input shapes: [[None, 10, 50]], output shape: [None, 10, 50]\n",
      "Layer name: flatten, layer type: Reshape, input shapes: [[None, 10, 50]], output shape: [None, 500]\n",
      "Layer name: dense, layer type: Dense, input shapes: [[None, 500]], output shape: [None, 50]\n",
      "Layer name: dense_1, layer type: Dense, input shapes: [[None, 50]], output shape: [None, 10]\n",
      "Layer name: dense_2, layer type: Dense, input shapes: [[None, 10]], output shape: [None, 1]\n",
      "Creating HLS model\n",
      "WARNING: Config parameter \"Precision\" overwrites an existing attribute in layer \"conv1d\" (PointwiseConv1D)\n",
      "WARNING: Config parameter \"ReuseFactor\" overwrites an existing attribute in layer \"conv1d\" (PointwiseConv1D)\n",
      "WARNING: Config parameter \"Precision\" overwrites an existing attribute in layer \"conv1d_1\" (PointwiseConv1D)\n",
      "WARNING: Config parameter \"ReuseFactor\" overwrites an existing attribute in layer \"conv1d_1\" (PointwiseConv1D)\n"
     ]
    }
   ],
   "source": [
    "hls_model = hls4ml.converters.convert_from_keras_model(model,\n",
    "                                                       hls_config=config,\n",
    "                                                       output_dir='model_1/hls4ml_prj',\n",
    "                                                       part='xcu250-figd2104-2L-e')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56b9d0f5",
   "metadata": {},
   "source": [
    "$N_{multiplications}$ = $\\sum^N_{n=2}$ $L_{n-1} * L_{n}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "a0dfb658",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hls4ml.utils.plot_model(hls_model, show_shapes=True, show_precision=True, to_file=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "ec730381",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing HLS project\n",
      "Done\n"
     ]
    }
   ],
   "source": [
    "hls_model.compile()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "993ede28",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "****** Vivado(TM) HLS - High-Level Synthesis from C, C++ and SystemC v2019.1 (64-bit)\n",
      "  **** SW Build 2552052 on Fri May 24 14:47:09 MDT 2019\n",
      "  **** IP Build 2548770 on Fri May 24 18:01:18 MDT 2019\n",
      "    ** Copyright 1986-2019 Xilinx, Inc. All Rights Reserved.\n",
      "\n",
      "source /home/xilinx/Vivado/2019.1/scripts/vivado_hls/hls.tcl -notrace\n",
      "INFO: Applying HLS Y2K22 patch v1.2 for IP revision\n",
      "INFO: [HLS 200-10] Running '/home/xilinx/Vivado/2019.1/bin/unwrapped/lnx64.o/vivado_hls'\n",
      "INFO: [HLS 200-10] For user 'russelld' on host 'scully.physics.ucsd.edu' (Linux_x86_64 version 4.18.0-348.12.2.el8_5.x86_64) on Tue Sep 06 20:10:31 EDT 2022\n",
      "INFO: [HLS 200-10] In directory '/home/users/russelld/hls4ml-tutorial/hls4ml-tutorial/model_1/hls4ml_prj'\n",
      "Sourcing Tcl script 'build_prj.tcl'\n",
      "INFO: [HLS 200-10] Opening project '/home/users/russelld/hls4ml-tutorial/hls4ml-tutorial/model_1/hls4ml_prj/myproject_prj'.\n",
      "INFO: [HLS 200-10] Adding design file 'firmware/myproject.cpp' to the project\n",
      "INFO: [HLS 200-10] Adding test bench file 'myproject_test.cpp' to the project\n",
      "INFO: [HLS 200-10] Adding test bench file 'firmware/weights' to the project\n",
      "INFO: [HLS 200-10] Adding test bench file 'tb_data' to the project\n",
      "INFO: [HLS 200-10] Opening solution '/home/users/russelld/hls4ml-tutorial/hls4ml-tutorial/model_1/hls4ml_prj/myproject_prj/solution1'.\n",
      "INFO: [SYN 201-201] Setting up clock 'default' with a period of 5ns.\n",
      "INFO: [HLS 200-10] Setting target device to 'xcu250-figd2104-2L-e'\n",
      "INFO: [XFORM 203-101] Allowed max sub elements number after partition is 8192.\n",
      "INFO: [XFORM 203-1161] The maximum of name length is set into 60.\n",
      "INFO: [XFORM 203-101] Allowed max sub elements number after partition is 8192.\n",
      "INFO: [XFORM 203-1161] The maximum of name length is set into 60.\n",
      "***** C/RTL SYNTHESIS *****\n",
      "INFO: [SCHED 204-61] Option 'relax_ii_for_timing' is enabled, will increase II to preserve clock frequency constraints.\n",
      "INFO: [HLS 200-10] Analyzing design file 'firmware/myproject.cpp' ... \n",
      "WARNING: [HLS 200-40] In file included from firmware/myproject.cpp:1:\n",
      "In file included from firmware/myproject.cpp:22:\n",
      "In file included from firmware/parameters.h:11:\n",
      "In file included from firmware/nnet_utils/nnet_conv1d.h:24:\n",
      "firmware/nnet_utils/nnet_conv1d_latency.h:155:48: warning: comparison of unsigned expression < 0 is always false [-Wtautological-compare]\n",
      "                if((ii*CONFIG_T::stride_width) < CONFIG_T::pad_left || (ii*CONFIG_T::stride_width) >= (CONFIG_T::pad_left + CONFIG_T::in_width)){\n",
      "                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ^ ~~~~~~~~~~~~~~~~~~\n",
      "firmware/nnet_utils/nnet_conv1d.h:83:13: note: in instantiation of function template specialization 'nnet::pointwise_conv_1d_latency_cl<ap_fixed<16, 6, 5, 3, 0>, ap_fixed<16, 6, 5, 3, 0>, config13>' requested here\n",
      "            pointwise_conv_1d_latency_cl<data_T, res_T, CONFIG_T>(data, res, weights, biases);\n",
      "            ^\n",
      "firmware/myproject.cpp:61:2: note: in instantiation of function template specialization 'nnet::pointwise_conv_1d_cl<ap_fixed<16, 6, 5, 3, 0>, ap_fixed<16, 6, 5, 3, 0>, config13>' requested here\n",
      " nnet::pointwise_conv_1d_cl<input_t, layer13_t, config13>(input_1, layer13_out, w13, b13);\n",
      " ^\n",
      "In file included from firmware/myproject.cpp:1:\n",
      "In file included from firmware/myproject.cpp:22:\n",
      "In file included from firmware/parameters.h:11:\n",
      "In file included from firmware/nnet_utils/nnet_conv1d.h:24:\n",
      "firmware/nnet_utils/nnet_conv1d_latency.h:155:48: warning: comparison of unsigned expression < 0 is always false [-Wtautological-compare]\n",
      "                if((ii*CONFIG_T::stride_width) < CONFIG_T::pad_left || (ii*CONFIG_T::stride_width) >= (CONFIG_T::pad_left + CONFIG_T::in_width)){\n",
      "                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ^ ~~~~~~~~~~~~~~~~~~\n",
      "firmware/nnet_utils/nnet_conv1d.h:83:13: note: in instantiation of function template specialization 'nnet::pointwise_conv_1d_latency_cl<ap_fixed<16, 6, 5, 3, 0>, ap_fixed<16, 6, 5, 3, 0>, config14>' requested here\n",
      "            pointwise_conv_1d_latency_cl<data_T, res_T, CONFIG_T>(data, res, weights, biases);\n",
      "            ^\n",
      "firmware/myproject.cpp:69:2: note: in instantiation of function template specialization 'nnet::pointwise_conv_1d_cl<ap_fixed<16, 6, 5, 3, 0>, ap_fixed<16, 6, 5, 3, 0>, config14>' requested here\n",
      " nnet::pointwise_conv_1d_cl<layer3_t, layer14_t, config14>(layer3_out, layer14_out, w14, b14);\n",
      " ^\n",
      "2 warnings generated.\n",
      "WARNING: [HLS 214-114] Since the only kind of statements allowed in a dataflow region are variable declarations and function calls, the compiler may not be able to correctly handle the region: firmware/nnet_utils/nnet_dense_latency.h:64:9\n",
      "WARNING: [HLS 214-104] Only for-loops and functions support the dataflow: firmware/nnet_utils/nnet_dense_latency.h:76:9\n",
      "WARNING: [HLS 214-114] Since the only kind of statements allowed in a dataflow region are variable declarations and function calls, the compiler may not be able to correctly handle the region: firmware/nnet_utils/nnet_sepconv1d_stream.h:104:2\n",
      "WARNING: [HLS 200-471] Dataflow form checks found 3 issue(s) in file firmware/myproject.cpp\n",
      "INFO: [HLS 200-111] Finished Linking Time (s): cpu = 00:00:17 ; elapsed = 00:00:19 . Memory (MB): peak = 1054.562 ; gain = 134.191 ; free physical = 4971 ; free virtual = 44013\n",
      "INFO: [HLS 200-111] Finished Checking Pragmas Time (s): cpu = 00:00:17 ; elapsed = 00:00:19 . Memory (MB): peak = 1054.562 ; gain = 134.191 ; free physical = 4971 ; free virtual = 44013\n",
      "INFO: [HLS 200-10] Starting code transformations ...\n",
      "INFO: [XFORM 203-603] Inlining function 'nnet::product::mult<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0> >::limit' into 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config7>' (firmware/nnet_utils/nnet_dense_latency.h:57).\n",
      "INFO: [XFORM 203-603] Inlining function 'nnet::product::mult<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0> >::limit' into 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config9>' (firmware/nnet_utils/nnet_dense_latency.h:57).\n",
      "INFO: [XFORM 203-603] Inlining function 'nnet::product::mult<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0> >::limit' into 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config11>' (firmware/nnet_utils/nnet_dense_latency.h:57).\n",
      "INFO: [XFORM 203-603] Inlining function 'nnet::product::mult<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0> >::product' into 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config7>' (firmware/nnet_utils/nnet_dense_latency.h:96).\n",
      "INFO: [XFORM 203-603] Inlining function 'nnet::product::mult<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0> >::product' into 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config9>' (firmware/nnet_utils/nnet_dense_latency.h:96).\n",
      "INFO: [XFORM 203-603] Inlining function 'nnet::product::mult<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0> >::product' into 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config11>' (firmware/nnet_utils/nnet_dense_latency.h:96).\n",
      "INFO: [XFORM 203-603] Inlining function 'nnet::dense<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config7>' into 'myproject' (firmware/myproject.cpp:77).\n",
      "INFO: [XFORM 203-603] Inlining function 'nnet::dense<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config9>' into 'myproject' (firmware/myproject.cpp:85).\n",
      "INFO: [XFORM 203-603] Inlining function 'nnet::dense<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config11>' into 'myproject' (firmware/myproject.cpp:93).\n",
      "INFO: [HLS 200-111] Finished Standard Transforms Time (s): cpu = 00:00:34 ; elapsed = 00:00:36 . Memory (MB): peak = 1253.562 ; gain = 333.191 ; free physical = 4774 ; free virtual = 43816\n",
      "INFO: [HLS 200-10] Checking synthesizability ...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: [XFORM 203-602] Inlining function 'fp_struct<double>::mantissa' into 'generic_cast_IEEE754<int, (ap_q_mode)6, double>' (/wrk/2019.1/continuous/2019_05_24_2552052/src/products/hls/hls_lib/hlsmath/include/FloatingPoint/hls_case_IEEE754.h:15) automatically.\n",
      "INFO: [XFORM 203-602] Inlining function 'fp_struct<double>::expv' into 'generic_cast_IEEE754<int, (ap_q_mode)6, double>' (/wrk/2019.1/continuous/2019_05_24_2552052/src/products/hls/hls_lib/hlsmath/include/FloatingPoint/hls_case_IEEE754.h:18) automatically.\n",
      "INFO: [XFORM 203-602] Inlining function 'fp_struct<double>::__signbit' into 'generic_cast_IEEE754<int, (ap_q_mode)6, double>' (/wrk/2019.1/continuous/2019_05_24_2552052/src/products/hls/hls_lib/hlsmath/include/FloatingPoint/hls_case_IEEE754.h:59) automatically.\n",
      "INFO: [XFORM 203-602] Inlining function 'generic_cast_IEEE754<int, (ap_q_mode)6, double>' into 'generic_cast_IEEE754<int, double>' (/wrk/2019.1/continuous/2019_05_24_2552052/src/products/hls/hls_lib/hlsmath/include/FloatingPoint/hls_case_IEEE754.h:117) automatically.\n",
      "INFO: [XFORM 203-602] Inlining function 'generic_cast_IEEE754<int, double>' into '__hls_fptosi_double_i32' (/wrk/2019.1/continuous/2019_05_24_2552052/src/products/hls/hls_lib/hlsmath/src/lib_floatconversion.cpp:55) automatically.\n",
      "INFO: [XFORM 203-602] Inlining function '__hls_fptosi_double_i32' into 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config7>' (firmware/nnet_utils/nnet_dense_latency.h:56) automatically.\n",
      "INFO: [XFORM 203-602] Inlining function 'nnet::cast<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config7>' into 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config7>' (firmware/nnet_utils/nnet_dense_latency.h:125) automatically.\n",
      "INFO: [XFORM 203-602] Inlining function '__hls_fptosi_double_i32' into 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config9>' (firmware/nnet_utils/nnet_dense_latency.h:56) automatically.\n",
      "INFO: [XFORM 203-602] Inlining function 'nnet::cast<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config9>' into 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config9>' (firmware/nnet_utils/nnet_dense_latency.h:125) automatically.\n",
      "INFO: [XFORM 203-602] Inlining function '__hls_fptosi_double_i32' into 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config11>' (firmware/nnet_utils/nnet_dense_latency.h:56) automatically.\n",
      "INFO: [XFORM 203-602] Inlining function 'nnet::cast<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config11>' into 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config11>' (firmware/nnet_utils/nnet_dense_latency.h:125) automatically.\n",
      "INFO: [XFORM 203-602] Inlining function 'nnet::pointwise_conv_1d_cl<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config13>' into 'myproject' (firmware/myproject.cpp:61) automatically.\n",
      "INFO: [XFORM 203-602] Inlining function 'nnet::pointwise_conv_1d_cl<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config14>' into 'myproject' (firmware/myproject.cpp:69) automatically.\n",
      "INFO: [HLS 200-111] Finished Checking Synthesizability Time (s): cpu = 00:00:38 ; elapsed = 00:00:40 . Memory (MB): peak = 1269.566 ; gain = 349.195 ; free physical = 4769 ; free virtual = 43811\n",
      "INFO: [XFORM 203-502] Unrolling all loops for pipelining in function 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config11>' (firmware/nnet_utils/nnet_dense_latency.h:34:50).\n",
      "INFO: [XFORM 203-502] Unrolling all loops for pipelining in function 'nnet::relu<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, relu_config10>' (firmware/nnet_utils/nnet_activation.h:71:39).\n",
      "INFO: [XFORM 203-502] Unrolling all loops for pipelining in function 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config9>' (firmware/nnet_utils/nnet_dense_latency.h:39:55).\n",
      "INFO: [XFORM 203-502] Unrolling all loops for pipelining in function 'nnet::relu<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, relu_config8>' (firmware/nnet_utils/nnet_activation.h:71:39).\n",
      "INFO: [XFORM 203-502] Unrolling all loops for pipelining in function 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config7>' (firmware/nnet_utils/nnet_dense_latency.h:39:55).\n",
      "INFO: [XFORM 203-502] Unrolling all loops for pipelining in function 'nnet::relu<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, relu_config5>' (firmware/nnet_utils/nnet_activation.h:71:39).\n",
      "INFO: [XFORM 203-502] Unrolling all loops for pipelining in function 'nnet::pointwise_conv_1d_latency_cl_split_by_rf<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config14>' (firmware/nnet_utils/nnet_conv1d_latency.h:201:93).\n",
      "INFO: [XFORM 203-502] Unrolling all loops for pipelining in function 'nnet::relu<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, relu_config3>' (firmware/nnet_utils/nnet_activation.h:71:39).\n",
      "INFO: [XFORM 203-502] Unrolling all loops for pipelining in function 'nnet::pointwise_conv_1d_latency_cl_split_by_rf<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config13>' (firmware/nnet_utils/nnet_conv1d_latency.h:201:93).\n",
      "INFO: [XFORM 203-502] Unrolling all loops for pipelining in function 'nnet::pointwise_conv_1d_latency_cl<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config14>' (firmware/nnet_utils/nnet_conv1d_latency.h:130:63).\n",
      "INFO: [XFORM 203-502] Unrolling all loops for pipelining in function 'nnet::pointwise_conv_1d_latency_cl<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config13>' (firmware/nnet_utils/nnet_conv1d_latency.h:130:63).\n",
      "INFO: [HLS 200-489] Unrolling loop 'Product1' (firmware/nnet_utils/nnet_dense_latency.h:85) in function 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config11>' completely with a factor of 10.\n",
      "INFO: [HLS 200-489] Unrolling loop 'Accum1' (firmware/nnet_utils/nnet_dense_latency.h:109) in function 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config11>' completely with a factor of 10.\n",
      "INFO: [HLS 200-489] Unrolling loop 'Loop-1' (firmware/nnet_utils/nnet_activation.h:76) in function 'nnet::relu<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, relu_config10>' completely with a factor of 10.\n",
      "INFO: [HLS 200-489] Unrolling loop 'Product1' (firmware/nnet_utils/nnet_dense_latency.h:85) in function 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config9>' completely with a factor of 50.\n",
      "INFO: [HLS 200-489] Unrolling loop 'Product2' (firmware/nnet_utils/nnet_dense_latency.h:90) in function 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config9>' completely with a factor of 10.\n",
      "INFO: [HLS 200-489] Unrolling loop 'ResetAccum' (firmware/nnet_utils/nnet_dense_latency.h:101) in function 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config9>' completely with a factor of 10.\n",
      "INFO: [HLS 200-489] Unrolling loop 'Accum1' (firmware/nnet_utils/nnet_dense_latency.h:109) in function 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config9>' completely with a factor of 50.\n",
      "INFO: [HLS 200-489] Unrolling loop 'Accum2' (firmware/nnet_utils/nnet_dense_latency.h:113) in function 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config9>' completely with a factor of 10.\n",
      "INFO: [HLS 200-489] Unrolling loop 'Result' (firmware/nnet_utils/nnet_dense_latency.h:120) in function 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config9>' completely with a factor of 10.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: [HLS 200-489] Unrolling loop 'Loop-1' (firmware/nnet_utils/nnet_activation.h:76) in function 'nnet::relu<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, relu_config8>' completely with a factor of 50.\n",
      "INFO: [HLS 200-489] Unrolling loop 'Product1' (firmware/nnet_utils/nnet_dense_latency.h:85) in function 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config7>' completely with a factor of 500.\n",
      "ERROR: [XFORM 203-504] Stop unrolling loop 'Product1' (firmware/nnet_utils/nnet_dense_latency.h:85) in function 'nnet::dense_latency<ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, ap_fixed<16, 6, (ap_q_mode)5, (ap_o_mode)3, 0>, config7>' because it may cause large runtime and excessive memory usage due to increase in code size. Please avoid unrolling the loop or form sub-functions for code in the loop body.\n",
      "ERROR: [HLS 200-70] Pre-synthesis failed.\n",
      "command 'ap_source' returned error code\n",
      "    while executing\n",
      "\"source build_prj.tcl\"\n",
      "    (\"uplevel\" body line 1)\n",
      "    invoked from within\n",
      "\"uplevel \\#0 [list source $arg] \"\n",
      "\n",
      "INFO: [Common 17-206] Exiting vivado_hls at Tue Sep  6 20:11:15 2022...\n",
      "CSynthesis report not found.\n",
      "Vivado synthesis report not found.\n",
      "Cosim report not found.\n",
      "Timing report not found.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{}"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hls_model.build(csim=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "7d57cff8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 1 solution(s) in model_1/hls4ml_prj//myproject_prj.\n",
      "Reports for solution \"solution1\":\n",
      "\n",
      "C simulation report not found.\n",
      "Synthesis report not found.\n",
      "Co-simulation report not found.\n"
     ]
    }
   ],
   "source": [
    "hls4ml.report.read_vivado_report('model_1/hls4ml_prj/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f3a30119",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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