paper_note/lynx/end_to_end_mem.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.rcParams[\"font.family\"] = \"Times New Roman\"\n",
    "plt.rcParams[\"font.size\"] = 16\n",
    "\n",
    "g_label_fontsize = 16\n",
    "\n",
    "colors = [\n",
    "    \"#5D7599\",\n",
    "    \"#233142\",\n",
    "    \"#F95959\",\n",
    "]\n",
    "\n",
    "edgecolors = [\n",
    "    \"#FFFFFF\",\n",
    "    \"#FFFFFF\",\n",
    "    \"#FFFFFF\",\n",
    "]\n",
    "\n",
    "hatches = [\"\\\\\\\\\", \"\", \"\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 4200x1050 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(14, 14 / 4), ncols=1, nrows=1, constrained_layout=True, dpi=300\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels_name_a = [\n",
    "    \"ModelA\\n8DP\",\n",
    "    \"ModelA\\n8TP\",\n",
    "    \"ModelB\\n8TP\",  \n",
    "    \"ModelA\\n2DP$\\\\times$4TP\",\n",
    "    \"ModelA\\n2DP$\\\\times$8TP\",\n",
    "    \"ModelA\\n4DP$\\\\times$2TP\",\n",
    "    \"ModelB\\n4DP$\\\\times$2TP\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "# peak memory\n",
    "data_a = {\n",
    "    labels_name_a[0]: [79, 40.95, 50.12],  # modela 8DP\n",
    "    labels_name_a[1]: [47, 44.24, 41.74],  # modela 8TP\n",
    "    labels_name_a[2]: [65.66, 59.47, 69.75],  # modelb 8TP\n",
    "    labels_name_a[3]: [50, 40.94, 54.22],  # modela 2DP 4TP\n",
    "    labels_name_a[4]: [64.75, 56.42, 0],  # modela 2DP 8TP\n",
    "    labels_name_a[5]: [60, 40.97, 55.75],  # modela 4DP 2TP\n",
    "    labels_name_a[6]: [-1, 59.32, 64.60],  # modelb 4DP 2TP\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [],
   "source": [
    "legend_labels = [\"Megatron-LM\", \"XLA\", \"DLRover-Lynx\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [],
   "source": [
    "bar_width = 0.2\n",
    "group_spaing = 0.15\n",
    "\n",
    "group_positions = {}\n",
    "current_pos = 0\n",
    "\n",
    "x_label_cnt = len(data_a.keys())\n",
    "x_label_group_cnt = 3\n",
    "\n",
    "for idx in range(x_label_cnt):\n",
    "    group_positions[idx] = []\n",
    "    for _ in range(x_label_group_cnt):\n",
    "        group_positions[idx].append(current_pos)\n",
    "        current_pos += bar_width\n",
    "    current_pos += group_spaing\n",
    "\n",
    "group_centers = {}\n",
    "for idx, positions in group_positions.items():\n",
    "    group_centers[idx] = sum(positions) / len(positions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(13.333333333333346, 0.5, 'Peak Memory (GB)')"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label_set = set()\n",
    "for idx, (x_label, y_data) in enumerate(data_a.items()):\n",
    "    positions = group_positions[idx]\n",
    "    for i, (pos, value, color, edgecolor, hatch, label) in enumerate(\n",
    "        zip(\n",
    "            positions,\n",
    "            y_data,\n",
    "            colors,\n",
    "            edgecolors,\n",
    "            hatches,\n",
    "            legend_labels,\n",
    "        )\n",
    "    ):\n",
    "        if label in label_set:\n",
    "            local_label = None\n",
    "        else:\n",
    "            local_label = label\n",
    "            label_set.add(local_label)\n",
    "        if value == -1:\n",
    "            ax.text(\n",
    "                pos,\n",
    "                1,\n",
    "                \"$\\\\times$OOM\",\n",
    "                rotation=90,\n",
    "                ha=\"center\",\n",
    "                va=\"bottom\",\n",
    "                color=\"red\",\n",
    "            )\n",
    "        ax.bar(\n",
    "            pos,\n",
    "            value,\n",
    "            width=bar_width,\n",
    "            color=color,\n",
    "            label=local_label,\n",
    "            hatch=hatch,\n",
    "            edgecolor=edgecolor,\n",
    "        )\n",
    "\n",
    "ax.set_xticks(list(group_centers.values()))\n",
    "ax.set_xticklabels(list(data_a.keys()))\n",
    "\n",
    "ax.set_ylim(0, 85)\n",
    "ax.set_yticks([0, 40, 80])\n",
    "ax.set_yticklabels([\"0\", \"40\", \"80\"], rotation=90, ha=\"center\", va=\"center\")\n",
    "\n",
    "ax.tick_params(axis=\"x\", bottom=False, labelsize=g_label_fontsize, pad=1)\n",
    "ax.tick_params(axis=\"y\", left=True, labelsize=g_label_fontsize, pad=5)\n",
    "\n",
    "ax.set_ylabel(\"Peak Memory (GB)\", fontsize=g_label_fontsize)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7efe210c7410>"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig.legend(\n",
    "    ncol=3,\n",
    "    loc=\"upper center\",\n",
    "    frameon=False,\n",
    "    shadow=False,\n",
    "    bbox_to_anchor=(0.5, 1.1),\n",
    "    fontsize=g_label_fontsize,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QHV/bbrttnHHGGfHwww/HySefHEOHDi0rGkBTy3LTPHsOAAAAqILs+7kcAAAAQE9l2c/lAIDqy3IOZskBAAAA8HoGlz1AT62xxhrx2c9+Nj772c/GI488EpdddlncdNNN8ac//SkefPDBVUojVrbBBhvEHnvsEXvvvXccfPDBsccee/Tz5ADV1TqzPSJW3CRfWcfjjtebXfYcAAAAUAXZ93M5AAAAgJ7Ksp/LAQDVl+UczJIDAAAA4LVUrihiZVtvvXV8/vOfj89//vMREfHCCy/EU089FfPnz4+FCxfGkCFDYp111onNN9881ltvvZKnBai2LDfNs+cAAACAKsi+n8sBAAAA9FSW/Xyg5Lj5j3/t95kAoL8MlPO8KjkAAAAAXk2liyJeaa211oqRI0eWPQZAWllummfKMWzo4Jg0fkzZowAAAECPZdrPI+QAAAAAei/Lfj4QcgwbmuqvXgLQT/YfOyouu+6OssfoloFwnq/8OgAAAEAVtZQ9AADV0jqzPaZe0dbl+ckTx8aEcaNLmKg+WXLMaJtd9ggAAABQtyz7uRwAAABAo2TZz7Pn8I96AFCPSePHpDgHs5znVcsBAAAA8EqKIgDosSw3zbPkAAAAgCrLsp/LAQAAADRKlv08ew4AqEeWc1AOAAAAgPKVUhRx2mmnxa677hqLFy8u4+371V133RWbb7553H///WWPAtBQWW6aZ8kBAAAAVZZlP5cDAAAAaJQs+3n2HABQjyznoBwAAAAA5SqlKOLTn/50PPjgg/HNb36zjLfvN4sWLYoPfvCDcdBBB8X2229f9jgADZflpnmWHAAAAFBlWfZzOQAAAIBGybKfZ88BAPXIcg7KAQAAAFCeUooiRowYESeeeGJMmTIlpk+fXsYIfa4oivjQhz4Uc+bMie9+97tljwNUzP5jR5U9QrdluWmeJQcAAABUWZb9XA4AAACgUbLs59lzAEA9spyDcgAAAACUo5SiiIiI448/Prbbbrv4wAc+EPfcc09ZY/SZT33qU3HllVfGv/3bv8Umm2xS9jhAxUwaP6ZSN5uz3DTPkgMAAACqLMt+LgcAAADQKFn280w5fnv9HWWPAUAFTZs+q8tzVTwHs5znGXIAAAAAA1tpRRFDhgyJX/ziF7Fo0aLYb7/9or29vaxRGmr58uXxyU9+Ms4777w48MAD4+Mf/3jZIwEVVbWbzVlummfJAQAAAFWWZT+XAwAAAGiULPt5lhy/u+2+skcAoIJmtM1OcQ5mOc+z5AAAAAAGrtKKIiIi9txzz/jud78bTz75ZLzrXe+K1tbWMsfptWeeeSYOPvjgOO+882LLLbeMCy64oOyRgIqr2s3mLDfNs+QAAACAKsuyn8sBAAAANEqW/TxLDgCoR5ZzUA4AAACA8g0ue4B/+Zd/ib/85S9x/vnnx8SJE+PLX/5yfPvb345hw4aVPVqPXHnllfGJT3winnrqqVhrrbVi2rRpscEGG5Q9FpDA5IljI2LFzegq6JizY+4OcgAAAAA9lWU/lwMAAABolCz7eZYcKztw0sfiuefmlz0GTe4Nb1gvrpn2s7LHAEqW5RyUAwAAAKBcpRdFRET85Cc/iaeeeiquueaamDJlSlx88cVx5plnxvve976yR3tdDz30UHz961+PCy+8MIqiiGHDhsWll14ae+yxR9mjAYlU7WZzlpvmWXIAAABAlWXZz+UAAAAAGiXLfp4lR4fnnpsfz85TFAFA92Q5B+UAAAAAKE9L2QNERAwZMiQuu+yymDBhQhRFEY899lh88IMfjF122SV+8pOfxEsvvVT2iF3cf//9ceyxx8aoUaM6SyLWWmut+NWvfhXvfve7yx4PqLhp02d1eW7yxLExYdzoEqapT+vM9ph6RVuX5+UAAAAAeirLfi4HAAAANLf9x44qe4Ruy7KfZ8kBAPXIcg7KAQAAAFCOpiiKiIgYOnRoXH755fHRj340iqKIiIh77rknPv3pT8fGG28cRx55ZFx22WWxaNGi0ma8995746yzzopx48bFTjvtFD/+8Y9jyZIlURRFbLjhhjFjxow4+OCDS5sPyGNG2+wUN5uz3DTPkgMAAACqLMt+LgcAAAA0r0njx1Rqr82yn2fJAQD1yHIOygEAAADQ/waXPcDKBg8eHOedd1686U1vipNOOimWLl0aRVHEwoUL46KLLoqLLrooBg0aFHvssUfsu+++sfvuu8euu+4aO+ywQ9RqtYbOMmfOnJg9e3bccccdMWvWrLjlllviiSee6Hy9KIrO9xw9enRMmzYttt9++4bOAAxsrTPbI2LFzeWVdTzueL3ZyQEAAAA0Spb9XA4AAABoXlXba7Ps51lyAEA9spyDcgAAAAD0r6Yqiujw5S9/Od75znfG5MmT46GHHoparRZFUURExNKlS+PWW2+NW2+9tfPn11hjjRg5cmRss802MXLkyNh4441jww03jBEjRsRaa60VQ4cOjaFDh0atVoulS5fGyy+/HIsXL4758+fHvHnzYt68efH444/H3/72t5gzZ0488MADsWjRolVm6nj/iOgsiCiKIv7pn/4p/vVf/zWGDRvWD38ywECT5WazHAAAAECjZNnP5QAAAIDmVbW9Nst+niUHANQjyzkoBwAAAED/acqiiIiIvfbaK/7yl7/EKaecEmeffXYsW7ZslYKGlb344osxe/bsuOeee3r9vq+8doeO9+74me233z7OOeecOPDAA3v9ngCvJcvNZjkAAACARsmyn8sBAAAAzatqe22W/TxLDgCoR5ZzUA4AAACA/tG0RREREWuuuWaceeaZcfTRR8dXvvKVaG1tjYhVSxs6FEXxqiUPPbW663e8x7rrrhtf+9rX4p//+Z9jyJAhDXk/gNeT5WazHAAAAECjZNnP5QAAAIDmVbW9Nst+niUHANQjyzkoBzSPJccfH7FgQdljUAXDh8fQKVPKngIAAOiBpi6K6PDmN785rrrqqrjpppvi9NNPX21hxKuVO/RWR/nEJptsEscdd1x89rOfjQ022KBP3gvgtWS52SwHAAAA0ChZ9nM5AAAAoDlMmz4rJo0fs8pzVdtrs+znWXIAQD2ynINyQJNYsEBRBAAAQFKVKIrosM8++8Q+++wTd999d/zXf/1XTJ06NZ555pmIaGxRREc5REtLS+y7777xkY98JCZPnhxDhw5t2HsA1CPLzWY5AAAAgEbJsp/LAQAAAOWb0TY7Fi9ZWvm9Nst+niUHANQjyzkoBwAAAEDfqVRRRIdddtklzj777JgyZUrccMMNcfnll8f06dPjvvvu6/Kzr1Ug0VEIsbL1118/3vGOd8RBBx0URxxxRGyyySYNnR2gt7LcbJYDAAAAaJQs+7kcAAAAUL4se60cAFB9Wc5BOQAAAAD6RiWLIjoMHjw43v3ud8e73/3uiIh45pln4ve//3385S9/idmzZ8cjjzwSTzzxRDzzzDPx4osvxuLFi2Pw4MGxzjrrxNprrx0bbLBBbLvttrH99tvHjjvuGHvuuWe8+c1vfs1yCYBmkOVmsxwAAABAo2TZz+UAAACA8mXZa+UAgOrLcg7KAQAAANB4lS6KeKUNN9wwJk6cGBMnTix7FIA+l+VmsxwAAABAo2TZzwdKjjtnP9rvMwEAAEB3DZT9XA4AaH5ZzkE5AAAAABorVVEEwECT5WazHAAAAECjZNnPB0KO4WuvUcZIAAAA0G0DYT9f+fVmlyUHANQjyzkoBwAAAEDjtJQ9AAC90zqzPaZe0dbl+ckTx8aEcaNLmKg+cgAAAACNkmU/z57jkP12K2EaAAAA6Jns+7kcAFAdWc5BOQAAAAAaQ1EEQAJZbjbLAQAAADRKlv08ew4AAACoguz7uRwAUB1ZzkE5AAAAAHpPUQRAElluNssBAAAANEqW/Tx7DgAAAKiC7Pu5HABQHVnOQTkAAAAAekdRBEAiWW42ywEAAAA0Spb9PHsOAAAAqILs+7kcAFAdWc5BOQAAAADqpygCIJksN5vlAAAAABoly36ePQcAAABUQfb9XA4AqI4s56AcAAAAAPVRFAGQUJabzXIAAAAAjZJlP8+U47fX31H2GAAAAFCXTPu5HABQbVnOQTkAAAAAek5RBEBSWW42ywEAAAA0Spb9PEuO3912X9kjAAAAQN2y7OdyAED1ZTkH5QAAAADoGUURAIlludksBwAAANAoWfbzLDkAAACgyrLs53IAQPVlOQflAAAAAOg+RREAyWW52SwHAAAA0ChZ9vMsOQAAAKDKsuzncgBA9WU5B+UAAAAA6J7BZQ8AQN9rndkeEStuLq+s43HH681ODgAAAKBRsuznWXIAAEAzW3L88RELFpQ9BlUwfHgMnTKl7CkoQZb9XA4AqL4s56AcAAAAAK9PUQTAAJHlZrMcAAAA0Nz2HzsqLrvujrLH6JYs+3mWHAAA0LQWLFAUAbyuLPu5HABQfVnOQTkAAAAAXltL2QMA0H9aZ7bH1Cvaujw/eeLYmDBudAkT1UcOAAAAaF6Txo+p1F6bZT/PkgMAAACqLMt+LgcAVF+Wc1AOAAAAgFenKAJggMlys1kOAAAAaF5V22uz7OdZcgAAAECVZdnP5QCA6styDsoBAAAAsHqKIgAGoCw3m+UAAACA5lW1vTbLfp4lBwAAAFRZlv1cDgCoviznoBwAAAAAXQ0uewAAytE6sz0iVtxcXlnH447Xm50cAAAA0Lyqttdm2c+z5AAAAIAqy7KfywEA1ZflHBwoOW7+41/7fSYAAACgmhRFAAxgA+WmuRwAAABQnqrttVn28yw5AAAAoMqy7OdyAED1ZTkHB0KOYUP9Lx4AAABA97SUPQAA5Wqd2R5Tr2jr8vzkiWNjwrjRJUxUHzkAAACgOUybPqvLc1Xba7Ps51lyAAAAQJVl2c/lAIDqy3IOZs8xafyYEqYBAAAAqqiSRREzZ84sewSAVLLfNJcDAAAA+s+Mttkp9tos+3mWHAAAAFBlWfZzOQCg+rKcg9lzAAAAAHRHJYsi9ttvv3jggQfKHgMglew3zeUAAACA/pNlr5UDAAAAaJQs+7kcAFB9Wc7B7DkAAAAAXk8liyKKoojzzjuv7DEA0sl+01wOAAAA6D9Z9lo5AAAAgEbJsp/LAQDVl+UczJ4DAAAA4LVUsigiIuJf//Vf49xzzy17DIB0st80lwMAAAD6T5a9Vg4AAACgUbLs53IAQPVlOQez5wAAAAB4NZUtili+fHl85jOfiQMPPDCuvvrqsscBSCX7TfNMOfYfO6qEiQAAAKD7BsJ+LgcAAADQE1n2czkAoPqynIOZckybPqvsMQAAAICKqGxRREREURRx3XXXxcSJE2PrrbeOb3/72/G3v/2t7LEAUsh00zxzjknjx5QwDQAAAPRM9v1cDgAAAKCnsuzncgBA9WU5B7PkmNE2u+wRAAAAgIqodFFExIqyiKIoYs6cOfGtb30rRo4cGYceemhcccUVURRF2eMBVFqWm+bZcwAAAEAVZN/P5QAAAAB6Kst+LgcAVF+WczBLDgAAAIDuGFz2APXabLPN4uijj44FCxbEbbfdFr///e+jKIpYtmxZXHnllXHllVfGZpttFsccc0wcc8wxseWWW5Y9MkAltc5sj4gVN8lX1vG44/Vmlz0HAAAAVEH2/VwOAAAAoKey7OdyAED1ZTkHs+QAAAAAeD0tZQ9Qr5/97Gfxne98J/793/89br755nj00Ufjm9/8Zmy99dZRFEUURRF///vf49RTT41tt902Dj744Lj88stj+fLlZY8OUDlZGpaz5wAAAIAqyL6fywEAAAD0VJb9XA4AqL4s52CWHAAAAACvpbJFEW9/+9tXebz55pvHKaecEg8++GBcddVV8d73vjcGDRoURVHEsmXLorW1Nd773vfGVlttFaeccko8+uijJU0OUE1ZbppnzwEAAABVkH0/lwMAAADoqSz7uRwAUH1ZzsEsOQAAAABeTSWLIr7xjW/EOuuss9rXarVaTJgwIaZNmxaPPfZYfPe7341tt902iqKIoiji8ccf73zuoIMOit/85jexbNmyfk4AUE1ZbppnyjFt+qyyxwAAAIC6ZNrP5QAAAAAaIct+PhByvPNtO5YwEQBVt//YUWWP0G0D4TyvUg4AAACA1alsUUR3bLLJJnHiiSfG/fffH9ddd128733viyFDhkRRFLF8+fKYPn16TJo0Kbbccsv42te+Fg8//HDfDg6QQJab5llyzGibXfYIAAAAULcs+7kcAAAAQKNk2c+z5zhkv91KmAaAqps0fkyKczDLeV61HAAAAACvVMmiiHrsv//+cfHFF8ff/va3OPPMM2PnnXeOoiiiKIp48skn4/TTT4/tt98+DjzwwPj1r38dy5YtK3tkgKaV5aZ5lhwAAABQZVn2czkAAACARsmyn2fPAQD1yHIOygEAAABQvgFTFNFhxIgR8eUvfznuvvvuuPHGG+PII4+MYcOGRVEUsXz58rjuuuvife97X2yxxRZx0kknxYMPPlj2yABNKctN8yw5AAAAoMqy7OdyAAAAAI2SZT/PngMA6pHlHJQDAAAAoFwDrihiZfvss0+cf/758fe//z2+/e1vR0vLij+OoijiySefjO9973ux4447xj/8wz/Er371q1i6dGnJEwM0lyw3zbPkAAAAgCrLsp/LAQAAADRKlv08ew4AqEeWc1AOAAAAgPIM6KKIiIinn346zjzzzPi3f/u3KIoiIiJqtVrUarUoiiKWL18eM2bMiA984AOxxRZbxAknnBAPPPBAyVMD2e0/dlTZI3RblpvmWXIAAABAlWXZz+UAAAAAGiXLfp49BwDUI8s5KAcAAABAOQZsUcQjjzwSxx13XIwcOTLOOOOMmD9/fhRF0fkVsWphRFEU8dRTT8WZZ54ZO+64YxxwwAFxySWXxMsvv1xyEiCjSePHVOpmc5ab5llyAAAAQJVl2c/lAAAAABoly36eKcdvr7+j7DEAqKBp02d1ea6K52CW8zxDDgAAAGBgG3BFEXfddVd8+MMfjh122CF+9KMfxYsvvhhFUXSWQnR8RUQURREjRoyIb33rW/GNb3wjttxyy87SiBtuuCE+9KEPxeabbx5f+9rX4sknnyw5GZBN1W42Z7lpniUHAAAAVFmW/VwOAAAAoFGy7OdZcvzutvvKHgGACprRNjvFOZjlPM+SAwAAABi4BkxRxO9///s47LDD4q1vfWtMnTo1li5dukpBRIeOIoitttoqvv/978cjjzwSX//61+Mb3/hGPPTQQ/Hb3/42DjnkkGhpaYmiKOKZZ56J008/PUaOHBlf/vKXY8GCBSWmBLKp2s3mLDfNs+QAAACAKsuyn8sBAAAANEqW/TxLDgCoR5ZzUA4AAACA8lWyKOLjH/94t3/2mmuuiXe9612x9957xxVXXBHLly9/zYKI0aNHxwUXXBD3339/HHfccbHmmmt2/kxLS0scfPDBcdlll8UjjzwSp5xySmy66aZRFEUsXrw4zj777Nh5551jxowZDc0LDGxVu9mc5aZ5lhwAAABQZVn2czkAAACARsmyn2fJAQD1yHIOygEAAABQrkoWRfz3f/93LFy48FVfL4oiLrnkkthjjz3iPe95T9x0002dRRCvVhAxbty4uPLKK+POO++MyZMnx6BBg15zhs022yy++c1vxkMPPRRTpkyJddZZJyIiHn/88ZgwYUL88Ic/bExYgKjezeYsN82z5AAAAIAqy7KfywEAAAA0Spb9PEsOAKhHlnNQDgAAAIDyVLIooiiK+MMf/tDl+Zdffjl+8pOfxE477RQf+tCH4o477njNgoiIiMMOOyza2trihhtuiIMOOqjHswwbNiy+9KUvxe233x5bbbVV1Gq1WLp0aXz+85+P8847r/6QwIA2bfqsLs9V7WZzlpvmWXIAAABAlWXZz+UAAACA5rb/2FFlj9BtWfbzLDkAoB5ZzkE5AAAAAMpRyaKIiIjjjjsu/vjHP8YLL7wQt912W5x00kmx1VZbxac//em4//77O4sgVlcQMWTIkPjYxz4Wd911V1x66aWx11579Xqe7bffPn71q191vl9RFHHsscfGHXfc0etrAwPPjLbZKW42Z7lpniUHAAAAVFmW/VwOAAAAaF6Txo+p1F6bZT/PkgMA6pHlHJQDAAAAoP8NLnuAet13332x5557rvLcyuUQr1QURayzzjrxqU99Kr70pS/FZptt1vCZ9thjj9h9993jtttui1qtFkuWLImPfexj8ac//anh7wXk1zqzPSJW3FxeWcfjjtebnRwAAABAo2TZz+UAAACA5lW1vTbLfp4lBwDUI8s5KAcAAABA/2ope4DeKIpila9ardalJKIoithoo43iO9/5Tjz66KMxZcqUPimJ6Hivv/3tb6vM0N7eHr/85S/75P2A/LI0E8sBAAAANEqW/VwOAAAAaF5V22uz7OdZcgBAPbKcg3IAAAAA9J9KF0V0FEO8siCiozhi5MiR8cMf/jAeeeSROOmkk2L99dfv03muv/76ePzxx7s8f/755/fp+wK5ZbnZLAcAAADQKFn2czkAAACgeVVtr82yn2fJAQD1yHIOygEAAADQPwaXPUBvFEUREdFZEtHxeNddd42vfvWr8b73vS9aWvqvC+Piiy9e5XGtVouiKGLWrFn9NgOQU+vM9ohYcXN5ZR2PO15vdnIAAAAAjZJlP5cDAAAAmlfV9tos+3mWHABQjyznoBwAAAAAfa//WhT6QK1W6yxjKIoi9ttvv2htbY3bb789PvCBD/RrSURExHXXXddZWrGy5557rl/nAHLK0kwsBwAAANAoWfZzOQAAAKA5TJve9R8Eqtpem2U/z5IDAOqR5RyUAwAAAKBvDS57gN4qiiJGjx4d//7v/x7vete7Sp3lySefXO3zW2+9dT9PAmSVpZlYDgAAAKBRsuzncgAAAED5ZrTNjsVLllZ+r82yn2fJAQD1yHIOygEAAADQd1rKHqA3arVanHzyyfHHP/6x9JKIiIgdd9yxy3O1Wi2OPPLIEqYBssrSTCwHAAAA0ChZ9nM5AAAAoHxZ9lo5AKD6spyDcgAAAAD0jcoWRQwePDh+/etfx6mnnhqDBw8ue5yIiPja174WERFFUXR+jRs3Lk488cSSJwOyyXKzWQ4AAACgUbLs53IAAABA+bLstXIAQPVlOQflAAAAAGi85mhYqMNHP/rROPTQQ8seYxX/+I//GNdff31ccMEFMXfu3DjggAPik5/8ZAwZMqTs0YCEWme2R8SKm8sr63jc8XqzkwMAAABolCz7+UDJcefsR/t9JgAAAOiugbKfywEAzS/LOSgHAAAAQGNVuiiiGY0bNy7GjRtX9hjAAJHlZrMcAAAAQKNk2c8HQo7ha69RxkgAAADQbQNhP1/59WaXJQcA1CPLOSgHAAAAQOO0lD1APa6//vrYZptt4p//+Z/j0EMPjSlTpsSyZcvKHgugFK0z22PqFW1dnp88cWxMGDe6hInqIwcAAADQKFn28+w5DtlvtxKmAQAAgJ7Jvp/LAQDVkeUclAMAAACgMQaXPUA9dt5559hzzz1jzpw5ERFx5ZVXxu233x5Tp04teTKAcmRpJpYDyrfk+OMjFiwoewya3fDhMXTKlLKnAACA15RlP8+eAwAAAKog+34uBwBUR5ZzUA4AAACA3qtkUcTXvva1eOyxx1Z57uKLL44zzzwzNt9885KmAihXlpvNckDJFixQFAEAAKSRZT/PngMA6jVt+qyY0Ta77DG6bf+xo2LS+DFdnpejbwxfe4044/j3lz0GAIlk38/lAIDqyHIOygEAAADQO5UsirjyyiujVqt1Pi6KIiIinnvuOUURwICW5WazHAAAAECjZNnPs+cAgHpMGj8mFi9ZWplz8LLr7ojFS5Z2OQflAIDqyL6fywEA1ZHlHJQDAAAAoH4tZQ9Qj2effXaVx7VaLXbYYYd485vfXNJEAM2jdWZ7TL2ircvzkyeOjQnjRpcwUX3kAAAAABoly36ePQcA1CPLOSgHAFRHlnNQDgCoviznoBwAAAAA9alkUcTIkSM7vy+KImq1WvzoRz8qbyCAJpPlZrMcAAAAQKNk2c8z5fjt9XeUPQYAFTRt+qwuz1XxHMxynmfIAQD1yHIOygEA1ZflHJQDAAAAoOcqWRTxj//4j1EURURE1Gq1+OIXvxj77bdfn77nY489FsuWLevT9wBopCw3m+UAAAAAGiXLfp4lx+9uu6/sEQCooBlts1Ocg1nO8yw5AKAeWc5BOQCg+rKcg3IAAAAA9EwliyKOP/742HjjjTvLIk444YQ+fb/FixfHyJEj49577+3T9wFotCw3m+UAAAAAGiXLfp4lBwDUI8s5KAcAVF+Wc1AOAKi+LOegHAAAAADdV8miiA022CAuuOCCGDJkSEREtLe39+n7PfHEE52lFABVk+VmsxwAAABAo2TZz7PkAIB6ZDkH5QCA6styDsoBANWX5RyUAwAAAKB7KlkUERHx7ne/Oy6++OIYNmxYHHnkkXH33Xf32XtNnz49arVan10foK9ludksBwAAANAoWfbzLDkAoB5ZzkE5AKD6spyDcgBA9WU5B+UAAAAAeH2VLYqIiDj88MPjhhtuiCFDhsTYsWPjf/7nfxr+HgsWLIjvfe97Db8uQH/LcrNZDgAAAGhu+48dVfYI3ZZlP8+SAwDqkeUclAMAqi/LOSgHAFRflnNQDgAAAIDXVumiiIiIPffcM+6888444ogj4iMf+Ui85z3viXvuuafX112wYEFcdtllMXbs2HjwwQcbMClA+bLcbJYDAAAAmtek8WMqtddm2c+z5ACAemQ5B+UAgOrLcg7KAQDVl+UclAMAAADg1Q0ue4B6bLvttqt9fsiQIXHNNdfEW97ylthiiy3quvby5ctj4cKF8dxzz0VERFEUdc8J0IxaZ7ZHxIqbyyvreNzxerOTAwAAAJpX1fbaLPt5lhwAUI8s56AcAFB9Wc5BOQCg+rKcg3IAAAAArF4liyKefvrpeOGFF1YpcajVahGxothh6dKl8fDDDzfkvWq1mrIIIJ0sN5vlAAAAgOZVtb02y36eJQcA1CPLOSgHAFRflnNQDgCoviznoBwAAAAAXbWUPUA9Jk2aFEVRRK1W6/wqiqLLc434AsiqdWZ7TL2ircvzkyeOjQnjRpcwUX3kAAAAgOZVtb02y36eJQcA1CPLOSgHAFRflnNQDgCoviznoBwAAAAAq6pkUcTRRx/d5TnFDgA9l+VmsxwAAADQvKq212bZz7PkAIB6ZDkH5QCA6styDsoBANWX5RwcCDn2HzuqhIkAAACAKqpkUcR+++0XW221VZfni6Jo+BdAdgPhprkcAAAA0H+mTZ/V5bmq7bVZ9vMsOQCgHlnOQTkAoPqynINyAED1ZTkHs+eYNH5MCdMAAAAAVTS47AHqddRRR8Vpp50WtVotiqKI7bffPvbcc8/YYIMNYs0114whQ4bEoEGDolarRa1W69G1ly1bFosXL46//e1v8Zvf/CZeeOGFPkoB0BxaZ7ZHxIqb5CvreNzxerOTAwAAAMo3o212LF6ytPJ7bZb9PEsOAKhHlnNQDgCoviznoBwAUH1ZzsHsOQAAAAC6o7JFEUcffXScdtppERFx0kknxXe+850+eZ/HHnss9t1333jkkUf65PoAzSL7TXM5AAAAoP9k2WvlAIDqy3IOygEA1ZflHJQDAKovyzmYPQcAAADA62kpe4B67bDDDrHXXntFRMRXv/rVPnufLbfcMr75zW/22fUBmknrzPaYekVbl+cnTxwbE8aNLmGi+sgBAAAA5cuy18oBANWX5RyUAwCqL8s5KAcAVF+WczB7DgAAAIDXUtmiiIiIo48+OiIiiqLo0/c54IAD+vT6AM0k+01zOQAAAKD/ZNlr5QCA6styDsoBANWX5RyUAwCqL8s5mD0HAAAAwKupdFHEBz/4wRg6dGjcfvvtffo+m222WZ+XUQA0k+w3zTPl2H/sqBImAgAAgO4bCPu5HABQDVnOQTkAoPqynINyAED1ZTkHM+WYNn1W2WMAAAAAFVHpooj1118/LrvssnjrW9/ap+9Tq9Xi4Ycfjh133LFP3wegmWS6aZ45x6TxY0qYBgAAAHom+34uBwBUR5ZzUA4AqL4s56AcAFB9Wc7BLDlmtM0uewQAAACgIgaXPUBvjR8/vl/eZ6uttuqX9wFoJq0z2yNixU3ylXU87ni92WXPAQAAAFWQfT+XAwCqI8s5KAcAVF+Wc1AOAKi+LOdglhwAAAAA3dFS9gAANLcsDcvZcwAAAEAVZN/P5QCA6shyDsoBANWX5RyUAwCqL8s5mCUHAAAAwOsZXPYAfemRRx6JG264IX73u9/FnDlz4plnnonnn38+hg8fHiNGjIhddtkldttttxg/fnxsuummZY8L0LSyNCxnzwEAAABVkH0/lwMAqiPLOSgHAFRflnNQDgCoviznYJYcAAAAAK8lXVHE8uXL45e//GWcddZZMWvWrFVeK4qi8/tarRbXXXdd5+O3ve1t8YlPfCImT54ca6+9dr/NC1AVWW6aZ88BAAAAVZB9P5cDAKojyzkoBwBUX5ZzcKDkuHP2o/0+EwD0l4FynlclBwAAAMCraSl7gEa66aabYuedd47JkyfHrFmzoiiKVb4iVhRERESX12bNmhWf+cxnYosttogzzjgjXnrppTKjADSl1pntMfWKti7PT544NiaMG13CRPXJlGPa9Fmv/4MAAADQhDLt53IAQLVlOQflAIDqy3IODoQc73zbjiVMBEDV7T92VNkjdNtAOM+rlAMAAABgdVIURSxdujQ+//nPx3777Rf3339/Z/lDrVbr8hURr/p8URQxf/78OPnkk2PUqFFx8803lxkLoClluWmeJceMttlljwAAAAB1y7KfywEA1ZflHJQDAKovyzmYPcch++1WwjQAVN2k8WNSnINZzvOq5QAAAAB4pcoXRSxcuDAmTJgQP/zhD2P58uWrlD8URdHt67zy9x555JHYb7/94pxzzunD6QGqKctN8yw5AAAAoMqy7OdyAED1ZTkH5QCA6styDmbPAQD1yHIOygEAAABQvsFlD9AbL7/8chx++OExY8aMiFhR9rCyjsc9KYxY+feWLl0aX/jCF+Lll1+OL33pSw2YGCCP1pntEbHiJvnKOh53vN7ssuQAAACAKsuyn8sBANWX5RyUAwCqL8s5mD0HANQjyzkoBwAAAEC5Kl0U8dWvfjVmzJjRpSAi4v/KITbeeOPYbbfdYrfddouddtop1ltvvVh33XVjvfXWi0GDBsWiRYti0aJF8cQTT8Q999wTd911V8yYMeP/s3fv0VrWZf74rwcQUKAS8VSm5QGlMqUgw5QRUtQCvzp4KC2zsclptKYsy6aTh7Gxk510ssOkdnBKB9M0IzIckWQSA40Uw0MeSvEIHkBB4P794W/vgbaHzc3e+96fa79ea+0Fz/3s/XyuN6u13quPeBnLli2LVqsVVVXFxz/+8dh1111jv/326+mIAL1alkvzLDkAAACgZFn+/7kcAFC+LD0oBwCUL0sPZs8BAHVk6UE5AAAAAJpT7KKIuXPnxte//vUOSyKqqoptt902jjrqqHj3u98du+yyy3p/9ooVK+KKK66Iz3zmM3HrrbfGmjVr4uijj47bbrsthg4d2lURAJ7XxHGj4rKr5jc9RqdkuTTPkgMAAABKluX/n8sBAOXL0oNyAED5svRg9hwAUEeWHpQDAAAAoBnFLor45Cc/GVVVtS+KqKoqXvGKV8SXv/zlOOKIIzboswcNGhRTp06Ngw8+OD784Q/HOeecEw8++GB86UtfilNPPbUrxgd4QVMnjY0VK1cVc9mc5dI8Sw4AeDEnf/mieGLZ0x2eTxw3KqZOGtvh+bQZc2PmnIU9MVqXkKPrDBsyOM782OE9chYAtMny/8/lAIDyZelBOQCgfFl6MFOOYUMGx5QJo5seBYDCTJsxt8PfAyixByNy9HlE+TkAAACAvq3IRRGLFi2KmTNnRqvViqqqIiLixBNPjNNOOy022WSTLjunf//+8c1vfjOeeuqp+P73vx/f/OY341Of+lQMHDiwy84AeD6lXTZnuTTPkgMAXsgTy55+zkURl101P1asXNWhB0tbYiUHAJQvy/8/lwMAypelB+UAgPJl6cEsOWbfsMiiCADW28w5C5/z7wGU1oNZ+jxLDgAAAKDv6tf0AHVcdtllERFRVVX0798/vvvd78aXv/zlLl0Ssbavf/3rsdVWW8Vjjz0Wl19+ebecAfBcjpw8Lg4Yv2vTY3Ta9FkL4sIr5nR4LgcAlCNLD8oBAOXL0oNyAED5svSgHABQviw9mCUHANSRpQflAAAAAGhekYsiZs2aFRERrVYrTjrppDj22GO79bwhQ4bEkUceGVVVxa9//etuPQvgb5V22Zzl0jxLDgCoI0sPygEA5cvSg3IAQPmy9KAcAFC+LD2YJQcA1JGlB+UAAAAAaNaApgeoY+HChRERsfXWW8fpp5/eI2e++c1vjoiIG264oUfOA1jbkZPHRcSzl9ElaJuzbe42cgBAObL0oBwAUL4sPSgHAJQvSw/2lRy//f1tPT4TAPSUvtLnpeQAgDqy9KAcAAAAAM3p1/QAdTz44IPRarXiXe96V/Tv379HzhwxYkRERNx77709ch7Qt02bMbfDs9I2E2fZsJwlBwDUkaUH5QCA8mXpQTkAoHxZerAv5Jg4blQDEwFQupL6oy/0eUk5AKCOLD0oBwAAAEAzilwU8fTTT0dExOjRo3vszIcffjgiIh577LEeOxPou2bOWZjisjnLpXmWHABQR5YelAMAypelB+UAgPJl6cHsOaZOGtvANACUbuqksSl6MEufl5YDAOrI0oNyAAAAAPS8IhdFvOQlL4mIiC233LLHzrz22msjIqJfvyL/yIACZblslgMAypelB+UAgPJl6UE5AKB8WXowew4AqCNLD8oBAOXI0oNyAAAAAPSsIrcevPzlL4+IiAcffLBHznvsscfixz/+cUREDB8+vEfOBIjIc9ksBwCUL0sPygEA5cvSg3IAQPmy9GD2HABQR5YelAMAypGlB+UAAAAA6DlFLop44xvfGBERv/nNb3rkvA9+8IPx6KOPRqvVip133rlHzgRok+WyWQ4AKF+WHpQDAMqXpQflAIDyZenB7DkAoI4sPSgHAJQjSw/KAQAAANAzilwUsd9++0VVVXHhhRfGgw8+2K1nfeITn4gf/ehH7a/33HPPbj0P4LlkuWyWAwDKl6UH5QCA8mXpQTkAoHxZejB7DgCoI0sPygEA5cjSg3IAAAAAdL8iF0UcfPDBMWTIkFi+fHkcd9xx3XLG/fffH1OmTIkvf/nL0Wq12p8fdNBB3XIewIvJctksBwCUL0sPygEA5cvSg3IAQPmy9GCmHNNmzG16DAAK9Fz9UWIPZunzDDkAoI4sPSgHAAAAQPcqclHEJptsEh/4wAeiqqr4+c9/Hocddlg89thjXfLZixcvjk996lOxyy67xJVXXhlVVUVERKvVije+8Y0xduzYLjkHoI4sl81yAED5svSgHABQviw9KAcAlC9LD2bJMXPOwqZHAKBAM+csTNGDWfo8Sw4AqCNLD8oBAAAA0H2KXBQREfGJT3wihg8fHhERl1xySYwaNSq+9rWvxdKlS9f7s5588sm45JJL4t3vfne8+tWvjjPPPDOeeOKJqKoqWq1W+7KIf//3f+/KCAC1ZLlslgMAypelB+UAgPJl6UE5AKB8WXowSw4AqCNLD8oBAOXL0oNyAAAAAHSPAU0PUNdmm20W3/72t+Owww6LVqsVixcvjo9+9KNx8sknx1577RVvfvObY5dddoltttkmhg0bFoMGDYqnnnoqnnzyyXj88cfjz3/+c9xyyy1x8803x+9///t45plnIiLal0K0Wq32161WK/7hH/4h3vrWtzaWF2Bt02ctiIhnL5fX1va67f3eTg4AKF+WHpQDAMqXpQflAIDyZenBLDkAoI4sPSgHAJQvSw/KAQAAAND1il0UERExderU+MxnPhOnn356tFqtqKoqVq5cGVdffXVcffXVnf6ctuUQEf+3IGJte+21V5xzzjldMjNAV8ly2SwHAJQvSw/KAQDly9KDfSXHTQvv6fGZAKCn9JU+LyUHANSRpQflAIDyZelBOQAAAAC6Vr+mB9hQp556apxyyikR8eySh7aFEevz1fZzf7skoqqqmDBhQvziF7+IgQMHNpAO4IVNn7UgLrxiTofnR04eFweM37WBieqRAwDKl6UH5QCA8mXpwb6QY68xIxuYCIDSTRw3qukROq0v9HlJOQCgjiw9KAcAlC9LD8oBAAAA0HWKXxQREfHZz342Lr/88th88807LH7ozNffqqoq+vXrFx//+MdjxowZMXTo0AZSAXROlstmOQCgfFl6UA4AKF+WHsyeY8qE0Q1MA0Dppk4am6IHs/R5aTkAoI4sPSgHAJQvSw/KAQAAANA1UiyKiIh429veFrfddlt89KMfjUGDBkVVVev9GVVVRVVVMXbs2Jg7d26ceeaZ0b9//26YFqBrZblslgMAypelB+UAgPJl6cHsOQCgjiw9KAcAlCNLD8oBAOXL0oNyAAAAAGy4NIsiIiKGDRsWX/rSl+Lee++N008/Pbbffvv25Q9tX23+9nmr1YrJkyfHL3/5y/jd734Xu+++e3NBAGrIctksBwCUL0sPygEA5cvSg9lzAEAdWXpQDgAoR5YelAMAypelB+UAAAAA2DADmh6gO2y22WbxqU99Kj71qU/FzTffHDNnzoz58+fHbbfdFkuXLo2VK1fGpptuGptttlmMHDky9t577xg/fnyMGDGi6dEBNsj0WQsi4tnL5bW1vW57v7eTAwDKl6UH5QCA8mXpwew5AKCOLD0oBwCUI0sPygEA5cvSg3IAAAAA1JdyUcTaXvva18ZrX/vapscA6DFZLpvlAIDyZelBOQCgfFl6MHsOAKgjSw/KAQDlyNKDcgBA+bL0oBwAAAAA9fRregAAut70WQviwivmdHh+5ORxccD4XRuYqB45AKB8WXpQDgAoX5YezJTj8qvnNz0GAAWaNmNuh2cl9mCWPs+QAwDqyNKDcgBA+bL0oBwAAAAA68+iiPVw7LHHxv3339/0GACdkuWyWQ4AKF+WHpQDAMqXpQez5Jh9w6KmRwCgQDPnLEzRg1n6PEsOAKgjSw/KAQDly9KDcgAAAACsH4siOumpp56K888/P5YsWdL0KACdluWyWQ4AKF+WHuxrOVo9ORQA9JC+1ucAkFGWHpQDAMqXpQflAIDyZelBOQAAAAA6z6KITlqwYEHTIwDUkuWyWQ4AKF+WHuxLOYZsMqinxwKAHtGX+hwAssrSg3IAQPmy9KAcAFC+LD0oBwAAAEDnDGh6gFKceeaZTY8AUNv0Wc8uuzly8rh1nre9bnu/t5MDAMqXpQf7So6bFt7T4zMBQE/pK31eSg4AqCNLD8oBAOXL0oNyAED5svSgHAAAAAAvLuWiiKqqYunSpbFixYp45plnoqqq9f6MZ555JpYsWRJ33HFHXHDBBTF9+vRotVrdMC1Az8hy2SwHAJQvSw/2hRzDhgxuYiQACjdx3Ki47Kr5TY/RKX2hz9d+HwAyytKDcgBA+bL0oBwAUL4sPSgHAAAAwAtLsSji4YcfjvPPPz+uuuqq+OMf/xgPPPBArFmzpumxAHqdLJfNcgBA+bL0YPYcUyaMbmIcAAo3ddLYWLFyVfE9mKXPS8sBAHVk6UE5AKB8WXpQDgAoX5YelAMAAADg+RW9KGLFihVx6qmnxte//vV4+umnIyKiqqouP6fVanX5ZwI0JctlsxwAUL4sPZg9x9/af+p7Y8mSx3piJAq36aYvjV9NO6/pMYCGZOlBOQCgHFl6UA4AKF+WHpQDAMqXpQflAAAAAHhuxS6KePTRR+PAAw+MG264YZ3lEJY6ALy4LJfNcgBA+bL0YPYca1uy5LF4dKlFEQC8uCw9KAcAlCNLD8oBAOXL0oNyAED5svSgHAAAAAAdFbso4h3veEfMnTs3IiyHAKgjy2WzHABQviw9mD0HANSRpQflAIByZOlBOQCgfFl6UA4AKF+WHuwrOX77+9t6fCYAAACgTEUuirjiiiviqquues4FEVVVdfl5FlEAWfWVS3M5AKD3y9KD2XMAQB1ZelAOAChHlh6UAwDKl6UH5QCA8mXpwb6QY9DAIv8VDwAAAKABRd4inHfeeR2eVVUVw4cPj8mTJ8cb3vCG2GabbWLo0KExaNCgWmesWbMmVqxYEX/961/jW9/6VsybN29DxwbolfrCpfna7/d2WXIAQB1ZejBTjmFDBseUCaObHgWAwkybMTemThq7zrMSezAiR59HlJ8DAOrI0oNyAED5svSgHABQviw9mD3H3/5zNgAAAIDnU+SiiN/97nfRarUi4tkFEa1WK4455pg455xzYuONN+7y844++uiYOHFiXHfddV3+2QC9QfZLczkAoBxZejBLjtk3LLIoAoD1NnPOwlixclXxPZilz7PkAIA6svSgHABQviw9KAcAlC9LD2bPAQAAANAZ/ZoeoI6HHnooIv5vScS+++4b3//+97tlSURExEYbbRSf+MQnuuWzAXqL6bMWxIVXzOnw/MjJ4+KA8bs2MFE9cgBA+bL0YJYcAFBHlh6UAwDKl6UH5QCA8mXpQTkAoHxZejB7DgAAAIAXU+SiiL9dCHHSSSd1+5lvetObuv0MgKZlvzSXAwDKkaUHs+QAgDqy9KAcAFC+LD0oBwCUL0sPygEA5cvSg9lzAAAAALyQIhdF7Ljjjuu8HjNmTLefucUWW0Sr1er2cwCalv3SXA4AKEeWHsySAwDqyNKDcgBA+bL0oBwAUL4sPSgHAJQvSw9mzwEAAADwfIpcFLHPPvtEVVXtrwcNGtQj5955550xcuTIHjkLoEnZL80z5Zg4blQDEwFQupL6oy/0eUk5AKCOLD0oBwCUL0sPygEA5cvSg3IAQPmy9GCmHNNmzG16DAAAAKAQRS6KOProo9d5fffdd/fIudtuu20MGDCgR84CaFqmS/PMOaZOGtvANACUbuqksSl6MEufl5YDAOrI0oNyAED5svSgHABQviw9KAcAlC9LD2bJMXPOwqZHAAAAAApR5KKI17/+9XHQQQe1v54xY0aD0wDkleXSPHsOAKgjSw/KAQDlyNKDcgBA+bL0oBwAUL4sPSgHAJQvSw9myQEAAADQGUUuioiIOPvss+NlL3tZREScd955PXLmgAED4pZbbumRs3rSmjVr4vHHH4+HHnoo/vrXv8bDDz8cy5cvj6qqmh4N6AWyXJpnzwEAdWTpQTkAoBxZelAOAChflh6UAwDKl6UH5QCA8mXpwSw5AAAAAF7MgKYHqGubbbaJiy++OA488MD4wx/+ED/+8Y/jqKOO6rbzHn/88VizZk23fX5PeOSRR+Laa6+NefPmxS233BK33XZbLF68OB555JHnXQoxdOjQ2G677WLbbbeNV73qVfHGN74x3vzmN8eoUaN6eHqgSdNnLYiIZy/J19b2uu393i57DgCoI0sPygEA5cjSg3IAQPmy9KAcAFC+LD0oBwCUL0sPZskBAAAA8EKKXRQREfHWt741fvSjH8VRRx0VH/rQh2LvvfeObbfdtlvO+uMf/xitVqtbPrs73XbbbfGTn/wk/vu//zv++Mc/rvPe8y2HWNsTTzwRf/zjH+Pmm29e5/lLX/rSePvb3x5HHHFE7L///rHRRht16dxA75Pl0jx7DgCoI0sPygEA5cjSg3IAQPmy9KAcAFC+LD3YV3LctPCeHp8JAHpKX+nzUnIAAAAAPJ9+TQ+woQ4//PC48MILY9myZXHQQQfFk08+2S3nnHXWWd3yud3lqquuigMPPDB22WWXOOWUU2LBggVRVdU6XxERrVbrRb8iosPPLl26NC688ML4f//v/8VWW20Vn/nMZ+Lhhx9uMjLQA6bPWhAXXjGnw/MjJ4+LA8bv2sBE9WTKMW3G3KbHAKBAz9UfJfZglj7PkAMA6sjSg3IAQPmy9KAcAFC+LD3YF3LsNWZkAxMBULqJ40Y1PUKn9YU+LykHAAAAwHMZ0PQAXeGwww6LLbbYIg455JA4+OCD43vf+17067dhOzBWrVoVy5Yti7/85S9xwQUXxCWXXNK+NKE3W7hwYXzkIx+JX//61xER7QshIuIF51/7+9a29rKI5/uZJUuWxOc///k466yz4kMf+lB89rOfjY033rhuBKCXy7JhOUuOmXMWxtRJY5seA4DCzJyzMFasXFV8D2bp8yw5AKCOLD0oBwCUL0sPygEA5cvSg9lzTJkwuolxACjc1EljY8XKVcX3YJY+Ly0HAAAAwN9KsSji17/+dfzgBz+IiIirr746dthhh4YnasZXv/rV+NSnPhUrVqxoX+LQ2eUWdZZgrP0zVVXFU089FV/84hfjpz/9aXzve9+LiRMnrvdnAmXIcmmeJQcA1JGlB+UAgPJl6UE5AKB8WXpQDgAoX5YezJ4DAOrI0oNyAAAAADSv6EURd911Vxx99NHx29/+tv1Z24KEvuTpp5+Od7/73XHJJZe84IKIrvyz+dvPb3tdVVXcddddccABB8RXvvKV+OAHP9hlZwK9S5ZL8yw5AKCOLD0oBwCUL0sPygEA5cvSg3IAQPmy9GD2HABQR5YelAMAAACgWcUuirjttttin332icWLF6+zAOG5FiR0hd66gGLZsmXx9re/Pa699tqoqmqdhQ1r22qrreI1r3lNbL/99rHlllvGFltsEZtvvnkMGjSo/at///6xevXqWLNmTTz99NOxYsWKePLJJ+Pxxx+PpUuXxkMPPRQPPPBA3HvvvXHXXXfFAw88sM4ZrVar/fxVq1bFhz/84Vi2bFmcfPLJPfOHAfS4LJfmWXIAQB1ZelAOAChflh6UAwDKl6UH5QCA8mXpwew5AKCOLD0oBwAAAEBzilwUsXr16njHO94R999//zrLCfqaqqriHe94R8yaNav9z6FtQcQb3/jGeOtb3xoTJkyIN7/5zfHSl760y89/4oknYsGCBTFv3ryYPXt2/PrXv44lS5ZERLTP8ulPfzp23HHHOPTQQ7v8fMhs4rhRcdlV85seo1OyXJpnyQEAdWTpQTmgd+mr9zXAhsnSg3IAQPmy9KAcAFC+LD2YPQcA1JGlB+UAAAAAaEa/pgeo46c//WnMnz+//V84aFuO0Pb7rv7qrb70pS/FL37xi/alDMOGDYuTTz45Fi1aFHPnzo0zzzwz9t9//25ZEhERMWzYsNhzzz3jhBNOiJ/85Cfx4IMPxq9+9auYPHlyRDz7L4SsWbMmjjvuuHjwwQe7ZQbIauqksXHA+F2bHqPTps9aEBdeMafD8yMnj5MDAAqRpQflgN7jpS8Z1vQIQKGy9KAcAFC+LD0oBwCUL0sPZspx+dVl/AdgAOhdps2Y2+FZiT2Ypc8z5AAAAAD6tgFND1DHf/3Xf63zum1RQv/+/WPixImx9957xw477BAve9nLYuONN671X7BcvXp1rFixIu69994455xzYsGC3rUZ9P77749TTjmlPfsxxxwTZ511VrzsZS9rbKb+/fvHfvvtF/vtt19ce+218d73vjfuvPPOWLp0aXz84x+P888/v7HZoESlbSbOsmE5Sw4AqCNLD8oBAOXL0oNyAED5svSgHABQviw9mCXH7BsWxZQJo5seA4DCzJyzMFasXFV8D2bp8yw5AAAAgL6ryEURv//979uXP1RVFRERb3zjG+MnP/lJ7LDDDl1+3jHHHBP77rtv/Pa3v+3yz67r61//ejz99NPRarXirLPOig9/+MNNj7SOvffeO2bPnh1/93d/F7fddltceOGFcdppp8W2227b9GhQlNIum7NcmmfJAQB1ZOlBOQCgfFl6UA4AKF+WHpQDAMqXpQez5ACAOrL0oBwAAAAAzevX9AB1PProo+u83nHHHeN//ud/umVJRETEwIED47Of/Wy3fHZdF110UbRarTj88MN73ZKINltttVVcdNFF0b9//1i9enWcf/75TY8ERTpy8rg4YPyuTY/RadNnLYgLr5jT4bkcAFCOLD0oBwCUL0sPygEA5cvSg3IAQPmy9GCWHABQR5YelAMAAACgWQOaHqCO4cOHxwMPPBBVVUWr1YpTTz01hgwZ0q1nvuENb+jWz18fDzzwQNx1113RarXiQx/6UNPjvKDddtst3vnOd8aPfvSj+NWvftXrFm5AKUrbTJxlw3KWHABQR5YelAN6l5Uf+1jEE080PQa93bBhMfDLX256CnqRLD0oBwCUL0sP9pUcv/39bT0+EwD0lL7S56XkAIA6svSgHAAAAADNKXJRxC677BKLFy9uf/3Wt761288cPnx4VFXV7ed0xn333df++9133725QTrp4IMPjh/96Edx223+Ig501rQZc2PqpLHrPCvtsjnLpXmWHABQR5YelAN6kSeesCgCqCVLD8oBAOXL0oN9IceggUX+dQgAGjZx3Ki47Kr5TY/RKX2hz9d+HwAyytKDcgAAAAA0o1/TA9QxefLkdV6/9KUv7ZFz77rrrhg5cmSPnPVCWq1W++/XrFnT4CSds+mmm0ZExOOPP97wJFCOmXMWxoVXzOnw/MjJ4+KA8bs2MFE902ctkAMACpelB+UAgPJl6UE5AKB8WXowe46/XcoOAJ0xddLYFD2Ypc9LywEAdWTpQTkAAAAAel6RiyLe8573xNChQ9tf33333T1y7rbbbhsDBjT/Xx15xSte0f7766+/vsFJOufWW2+NiP9bGAF0TpbLZjm6V+vFvwUANlhv7cH1JQcAlC9LD8oBAOXL0oPZcwBAHVl6UA4AKEeWHpSja/h7oQAAAEBnFbkoYrPNNouPfOQj7a+vueaaBqfpeZtvvnnstNNOERHx7//+7w1P88Kqqor//M//jFarFbvuWs4FH/QWTV82dxU5us+QTQY1ci4AfU9v7ME65ACA8mXpQTkAoHxZejB7DgCoI0sPygEA5cjSg3JsOH8vFAAAAOisIhdFRER85jOfiTFjxkRVVfGd73ynR87ccccd4/bbb++Rs17M4YcfHlVVxW9+85v413/916bHeV6f/vSnY968eRERsf/++zc8DZTJpXnvkiUHANSRpQflAIDyZelBOQCgfFl6MHsOAKgjSw/KAQDlyNKDcgAAAAD0jGIXRQwYMCCmTZsWr3jFK2LevHlx2WWXdet5Tz/9dNx5552xcuXKbj2ns0444YTYZJNNIiLiC1/4Qhx22GHx6KOPNjzV/3niiSfi2GOPjTPPPDMiIgYPHhzHHHNMs0NBwbJcNssBAOXL0oNyAED5svSgHABQviw9mD0HANSRpQflAIByZOlBOQAAAAC6X7GLIiIiXvnKV8bMmTNjq622io985CPx5JNPdttZd999d7RarW77/PW15ZZbximnnBJVVUVExCWXXBI777xznHLKKfHQQw81Ntdf//rXOP3002OHHXaI888/P6qqilarFSeffHJsttlmjc0FGWS5bJYDAMqXpQflAIDyZelBOQCgfFl6MFOOy6+e3/QYABRo2oy5HZ6V2INZ+jxDDgCoI0sPygEAAADQvQY0PcCG2mmnneLqq6+OCRMmxPve9774yU9+0i3nfP/73++Wz90QJ554YsycOTOmT58erVYrHnnkkTj99NPj85//fLzlLW+JKVOmxJ577hm77bZbbLzxxt0yw+rVq2PBggXxq1/9Kn72s5/FDTfcEFVVtS+waLVaMW7cuPjkJz/ZLedDXzN91oKIePZyeW1tr9ve7+3k6F77T31vLFnyWCNnU5ZXbbdNXHTeN5oeAyhUb+3B9SUHAJQvSw/KAQDly9KDWXLMvmFRTJkwep1n/hkKneGfn0DfNnPOwlixclXxPZilz7PkAIA6svSgHF3DnQad5V4DAACgbyl+UURExMiRI+Oaa66JCRMmxIc+9KH4xjc2/P/Yrl69Oh577LG488474/zzz49vfetbXTBp1+rXr19cdNFF8Za3vCUWLFgQrVYrqqqKVatWxaxZs2LWrFnt37f99tvHdtttF9tss806X1tttVVssskmsckmm8TGG2/c/mtExNNPP93+9eSTT8Z9990Xf/3rX+Mvf/lL/PnPf4558+bFggULYuXKlRER7cshIqJ9ll122SV+9rOfxYABKf6nBr1C05fNXUWO7rNkyWPx6FL/QIAX97KXvqTpEYDC9cYerEMOAChflh6UAwDKl6UHs+T4W/4ZCp3hn58AWXpQDgAoX5YelGPDudOgs9xrAAAA9C1F/tv7/fv3f973zjnnnDjnnHO6/MyqqqLVanX5526ooUOHxjXXXBOHHHJIXHPNNe0zrr20YfXq1XHbbbfF7bff3qVnr31Gm7XP32OPPeKKK66IzTbbrEvPBVya9zZZcgBAHVl6UA4AKF+WHpQDAMqXpQez5ACAOrL0oBwAUL4sPSgHAAAAQNfr1/QAdbzsZS+Lqqp69Ks3e9nLXhYzZsyI448/vv1Zq9Xq8NUdfybPdUZExIc//OGYNWuWJRHQjabPWhAXXjGnw/MjJ4+LA8bv2sBE9cgBAOXL0oNyAED5svSgHABQviw9mCUHANSRpQflAIDyZelBOQAAAAC6VpGLIo499tiIeO5lCN311dtttNFG8c1vfjNmzZoVu+yyy3Mut+jOP5e25RFvfOMbY86cOXHWWWfFRhtt1JN/BNAnZblslgMAypelB+UAgPJl6cG+kGOvMSMbmAiA0k0cN6rpETqtL/R5STkAoI4sPSgHAJQvSw/KAQAAANB1ilwU8YEPfCD69fu/0Z9rKUJf9Za3vCX++Mc/xoUXXhive93r2hc4PJ+291/s68V+fvz48XHllVfG3Llz401velN3RAOeR5bLZjkAoHxZelAOAChflh7MnmPKhNENTANA6aZOGpuiB7P0eWk5AKCOLD0oBwCUL0sPygEAAADQNQY0PUAdr371q2P//fePX/7yl9FqtaLVakVE9y2MaPv8UrRarXjHO94R73jHO2LWrFnxX//1XzFt2rR4+OGH1/metX/tjL/98912221jypQp8e53v7vWcogHH3wwHnroofX6mdtvv329z4G+YPqsBRHx7OXy2tpet73f28kBAOXL0oNyAED5svRg9hwAUEeWHpQDAMqRpQflAIDyZelBOQAAAAA2XJGLIiIijj/++PjlL38ZEc8uMNhss81i4sSJsf3228fw4cNj4403jsGDB0e/fv2if//+6/XZVVXFypUrY8mSJbFo0aK49NJLY8mSJd0Ro9uNHz8+xo8fH2effXbccMMNcd1118V1110XN910U9xzzz2xcuXKTn3OwIEDY+edd47Xvva1sdtuu8WBBx4Yr3/96zdotv/4j/+IU089dYM+A/g/WS6b5QCA8mXpQTkAoHxZejB7DgCoI0sPygEA5cjSg3IAQPmy9KAcAAAAABum2EURBx54YGy//fbx5z//OfbYY4+46qqrYsiQId1y1he+8IXYd999Y8GCci9p+vfvH3vssUfsscce8ZGPfCQinl2Icd9998Vf/vKXePzxx2P58uWxfPnyqKoqhg4dGsOGDYthw4bFpptuGq961avWe+EG0POyXDbLAQDly9KDcgBA+bL0YPYcAFBHlh6UAwDKkaUH5QCA8mXpQTkAAAAA6it2UUSr1YrjjjsuTj755Jg6dWq3LYmIiBgxYkR89atfjX333bfbzmhCq9WKV7ziFfGKV7yi6VGALpTlslkOAChflh6UAwDKl6UHs+cAgDqy9KAcAFCOLD0oBwCUL0sPygEAAABQT7GLIiIijj322Pjc5z4XS5Ys6fazxowZE1VVdfs5fck///M/x2GHHbZeP3P77bfHwQcf3D0DQSJZLpvlAIDyZelBOQCgfFl6MFOOYUMGx5QJo5seBYDCTJsxN6ZOGrvOsxJ7MCJHn0eUnwMA6sjSg3IAQPmy9KAcAAAAAOuv6EURw4cPjyOOOCKuvvrqbj9r2LBh8epXvzoGDhzY7Wf1FVtssUVsscUWTY8BaWW5bJYDAMqXpQflAIDyZenBLDlm37DIoggA1tvMOQtjxcpVxfdglj7PkgMA6sjSg3IAQPmy9KAcAAAAAOun6EURERFnnHFGDBo0qEfOuuOOO3rkHICukuWyWQ4AKF+WHpQDAMqXpQez5ACAOrL0oBwAUL4sPSgHAJQvSw/KAQAAANB5xS+KePnLX970CH1C//7913ndarVi1apVDU0DrI8sl81yAED5svSgHABQviw9mCUHANSRpQflAIDyZelBOQCgfFl6UA4AAACAzunX9ADd5Zlnnom//vWvcdNNN8WTTz75gt975513RlVVPTRZmaqq6vAFlGP6rAVx4RVzOjw/cvK4OGD8rg1MVI8cAFC+LD0oBwCUL0sPZskBAHVk6UE5AKB8WXpQDgAoX5YelAMAAADgxaVaFHHffffFaaedFuPHj49hw4bFtttuG294wxviD3/4w/P+zMKFC2PnnXeOTTfdNA4++OC4/PLLY82aNT04dTlarVa0Wq2mxwBqynLZLAcAlC9LD/aFHHuNGdnARACUbuK4UU2P0Gl9oc9LygEAdWTpQTkAoHxZelAOAChflh6UAwAAAOCFpVgU8cQTT8Q///M/xw477BCnnnpq/Pa3v42VK1dGVVUv+rOjRo2KW2+9NY455pj41a9+FQcffHCMHDkyLr300u4fHKCHZblslgMAypelB7PnmDJhdAPTAFC6qZPGpujBLH1eWg4AqCNLD8oBAOXL0oNyAED5svSgHAAAAADPr/hFETfffHOMGTMmvv3tb8eKFSuiqqqoqiparVanP2OHHXaIr33ta3HrrbfGfvvtF3feeWdMnTo1pkyZEkuXLu2+4QEakOWyWQ4AKF+WHsyeAwDqyNKDcgBAObL0oBwAUL4sPSgHAJQvSw/KAQAAAPDcil4U8ac//Sn23nvvuP3229uXQ7R91bHddtvF9OnT4+Mf/3hUVRVXXnlljB07Nm655ZYunhygWVkum+UAgPJl6cHsOQCgjiw9KAcAlCNLD8oBAOXL0oNyAED5svSgHAAAAAAdFbso4rHHHovJkyfH0qVLIyJqL4d4LmeeeWa85z3viaqq4o477oh999037rzzzi77/A116qmnRv/+/Xv0KyKiqqqoqqr99+vz8wMGDGjyjwx4Dlkum+UAgPJl6cHsOQCgjiw9KAcAlCNLD8oBAOXL0oNyAED5svSgHAAAAADrKnZRxBlnnBF33HFHhwURbcsM2hYa1PWNb3wjNt9882i1WrF48eLYf//948knn9ygz+xKa+fsia+umAHofbJcNssBAOXL0oPZcwBAHVl6UA4AKEeWHpQDAMqXpQflAIDyZenBvpBjrzEjG5gIAAAAKFGRiyIWL14cZ5999jpLIqqqisGDB8cee+wRhxxySLzrXe/aoDOGDRsWxx57bFRVFa1WK+688844/fTTN3T0LtVqtXrsa0POB3q3vnBpLgcAlCFLD2bKcfnV85seA4ACTZsxt8OzEnswS59nyAEAdWTpQTkAoHxZelAOAChflh7MnmPKhO7gQF4AAQAASURBVNENTAMAAACUqMhFEZdddlk8/fTT7a832mijOOWUU+KRRx6JOXPmxLRp0+IHP/jBBp8zefLk9t9XVRVf//rX4/7779/gz91Qr3rVq9Z5XVVV+xdAHdkvzeUAgHJk6cEsOWbfsKjpEQAo0Mw5C1P0YJY+z5IDAOrI0oNyAED5svSgHABQviw9mD0HAAAAQGcUuSjil7/8ZUQ8uyBh8ODBMXPmzPjsZz8bgwcP7tJzXvOa16zz+plnnolLLrmkS8+o4z3veU/84he/iC233DKqqopWqxWtVisi1l0a0ZVfz2VDfhbofbJfmssBAOXI0oNZcgBAHVl6UA4AKF+WHpQDAMqXpQflAIDyZenB7DkAAAAAXsyApgeo409/+lNERLRarfj2t78de+65Z7ecM3To0A7Prrjiijj++OO75bz1ceCBB8aCBQvi2GOPjZ///OftyyJ23XXX+PCHP9y+OKIrVFUV//AP/7DOMopWqxXf//73u+wMoHeYPmtBRDx7Sb62ttdt7/d2cgBA+bL0YJYcAFBHlh6UAwDKl6UH5QCA8mXpQTkAoHxZejB7DgAAAIAXUuSiiAceeCBarVaMGTMm3vWud3XbOYsXL27/favViqqq4o477ui289bXZpttFpdeeml897vfjRNPPDGWLVsWCxYsiB/84Afxgx/8ILbZZpsuO+sf/uEfOjx7z3ve02WfD/Qe2S/Ns+W4aeE9PT4TAPSUvtLnpeQAgDqy9KAcAFC+LD0oBwCUL0sPygEA5cvSg9lzAAAAADyffk0PUMeTTz4ZERFHHXVUt57zXEsh1l4e0Vv84z/+Y8ybNy/Gjh0bVVXFNddcE7vttltcfPHFTY8GFGr6rAVx4RVzOjw/cvK4OGD8rg1MVE9fyLHXmJENTARA6SaOG9X0CJ3WF/q8pBwAUEeWHpQDAMqXpQflAIDyZelBOQCgfFl6MFOOy6+e3/QYAAAAQCGKXBQxbNiwiIh47Wtf263nTJs2rcOzlStXduuZde20005x3XXXxac//eno169fLFmyJN7xjnfEe9/73li2bFnT4wEFynRpnjnHlAmjG5gGgNJNnTQ2RQ9m6fPScgBAHVl6UA4AKF+WHpQDAMqXpQflAIDyZenBLDlm37Co6REAAACAQhS5KOJVr3pVRESsWrWq285YtmxZ/Nd//Ve0Wq11no8YMaLbztxQ/fv3j9NOOy2uueaa2H777aOqqvjBD34Qu+++e1x//fVNjwcUKMulefYcAFBHlh6UAwDKkaUH5QCA8mXpQTkAoHxZelAOAChflh7MkgMAAACgM4pcFPGGN7whIiIWLeq+bZknnXRSPPLII+2vq6qKVqsVr3nNa7rtzK6y5557xo033hjvec97oqqquOOOO2KvvfaK008/Paqqano8oDBZLs2z5wCAOrL0oBwAUI4sPSgHAJQvSw/KAQDly9KDcgBA+bL0YJYcAAAAAC+myEUR+++/f1RVFZdcckm3fP5ll10W3/72t6PVanV4b8KECd1yZlcbOnRonHfeeXHxxRfH8OHDY9WqVXHKKafE+PHj4+677256PKAwWS7Ns+cAgDqy9KAcAFCOLD0oBwCUL0sPygEA5cvSg3IAQPmy9GCWHAAAAAAvpMhFEVOmTInhw4fHrFmz4qqrrurSz/75z38e73jHO57zvVarFUceeWSXntfdpk6dGgsWLIh99903qqqK6667Lnbbbbf48Y9/3PRoQGGyXJpnzwEAdWTpQTkAoBxZelAOAChflh6UAwDKl6UH5QCA8mXpwSw5AAAAAJ5PkYsiBg0aFB/96Eejqqp4z3veE/fdd98Gf+aaNWvijDPOiMMPPzxWrFgRERFVVbX/2mq14rDDDovttttug8/qaVtvvXXMmDEjzjrrrBg0aFA8/vjjcfTRR8e73vWueOKJJ5oeDyhIlkvzTDkuv3p+02MAUKBpM+Z2eFZiD2bp8ww5AKCOLD0oBwCUL0sPygEA5cvSg30hx15jRjYwEQClmzhuVNMjdFpf6POScgAAAAA8lyIXRUREfPSjH42dd9457r///njLW94Sf/jDH2p/1q9//et405veFJ/97Gdj5cqV0Wq1IiLaf42IGDZsWHzxi1/c4Lmb9OEPfziuv/762HXXXaOqqviv//qv2G233eK6665rejSgIFkuzbPkmH3DoqZHAKBAM+csTNGDWfo8Sw4AqCNLD8oBAOXL0oNyAED5svRg9hxTJoxuYBoASjd10tgUPZilz0vLAQAAAPC3il0UMXDgwPjpT38aQ4YMiXvuuSfGjBkTH/jAB2LevHkv+rNPPfVUXHvttXHGGWfEjjvuGAcccEDMnz8/qqpqXw5RVVX7r61WK7773e/GK1/5ym7N1BNe97rXxdy5c+MjH/lIRETcdddd8Xd/93fx2c9+NtasWdPwdEApslyaZ8kBAHVk6UE5AKB8WXpQDgAoX5YelAMAypelB7PnAIA6svSgHAAAAADNG9D0ABvi9a9/fVxyySXx//7f/4unn346vvOd78R3vvOd2GKLLeJ1r3td+/edeuqpMWjQoHjsscfioYceittvvz1Wr14dEf+3ECIi1lkS0Wq12t/70pe+FIcddlgPJuteAwcOjK985Svxtre9LY455pj461//GmeccUb8+te/jh//+Mex/fbbNz0iUIDpsxZExLOX5Gtre932fm+XJQcA1JGlB+UAgPJl6UE5AKB8WXpQDgAoX5YezJ4DAOrI0oNyAAAAADSrX9MDbKj99tsvrrnmmth+++2jqqqoqioeeOCBmDlzZkQ8u/Thqquuil/84hcxe/bsuPXWW2PVqlXt39tqtdq/2hZDtP1+6NCh8cMf/jBOPPHEJiN2m7e+9a2xYMGCOOyww6Kqqrj++utj9913j/PPP7/p0YBCZNmwnCUHANSRpQflAIDyZelBOQCgfFl6UA4AKF+WHsyeAwDqyNKDcgAAAAA0p/hFERERY8eOjRtvvDGOPvroaLVa7c/bFkBExHMuhlj7e9u+v+37xo4dG/PmzYujjjqqR7P0tJe97GXx05/+NM4///wYNmxYPPnkk3HsscfG4YcfHkuXLm16POizJo4b1fQInZbl0jxLDgCoI0sPygEA5cvSg3IAQPmy9KAcAFC+LD2YPQcA1JGlB+UAAAAAaEaKRREREUOHDo3zzz8//vSnP8Xxxx8fQ4YMaV/6UFVVRESHxRARsc73VFUV++67b/zyl7+M3/3ud7Hjjjv2dIzGHH300XHjjTfGW97ylqiqKqZNmxavf/3r43/+53+aHg36pKmTxhZ12Zzl0jxLDgCoI0sPygEA5cvSg3IAQPmy9KAcAFC+LD2YKcflV89vegwACjRtxtwOz0rswSx9niEHAAAA0LcNaHqArrbjjjvGN7/5zfjSl74U119/fVx33XUxZ86cuPfee2PJkiWxZMmSWL58ebzkJS+J4cOHx4gRI2L33XePvffeO/bee+/YZpttmo7QmFe96lUxa9as+PznPx+nnXZa/OUvf4l99903PvrRjzY9GvRJR04eFxHPXkaXoG3OtrnbyAEA5cjSg3IAQPmy9KAcAFC+LD0oBwCUL0sPZskx+4ZFMWXC6KbHAKAwM+csjBUrVxXfg1n6PEsOAAAAoO9KtyiizeDBg2P8+PExfvz4pkcpSqvVik996lOx//77x1FHHRW33XZbfPnLX45WqxVVVUWr1Wp6ROhTSrtsznJpniUHANSRpQflAIDyZelBOQCgfFl6UA4AKF+WHsySAwDqyNKDcgAAAAA0r1/TA9A7jRkzJm688cZ4//vfH1VVRURYEgENOXLyuDhg/K5Nj9Fp02ctiAuvmNPhuRwAUI4sPSgHAJQvSw/KAQDly9KDcgBA+bL0YJYcAFBHlh6UAwAAAKBZFkXwvDbeeOM499xz4+c//3mMGDEiqqpqXxoB9KzSLpuzXJpnyQEAdWTpQTkAoHxZelAOAChflh6UAwDKl6UHs+QAgDqy9KAcAAAAAM1pfFHEPffc0/QInbZ48eJYvXp102P0uMmTJ8cDDzwQa9asaf/qi38O0JOmzZjb4Vlpl81ZLs2z5ACAOrL0oBwAUL4sPSgHAJQvSw/2hRx7jRnZwEQAlG7iuFFNj9BpfaHPS8oBAHVk6UE5AAAAAJrR+KKIV7/61U2P0GmTJk2KP/3pT02PAfQBM+csTHHZnOXSPEsOAKgjSw/KAQDly9KDcgBA+bL0YPYcUyaMbmAaAEo3ddLYFD2Ypc9LywEAdWTpQTkAAAAAel7jiyKqqoqqqpoeo1NWr17d9AhAH5LlslkOAChflh6UAwDKl6UH5QCA8mXpwew5AKCOLD0oBwCUI0sPygEAAADQsxpfFBER8eCDDzY9Qqc88sgjTY8A9DFZLpvlAIDyZelBOQCgfFl6UA4AKF+WHsyeAwDqyNKDcgBAObL0oBwAAAAAPadXLIq49tprmx7hRd1xxx3x0EMPNT0G0AdluWyWAwDKl6UH5QCA8mXpQTkAoHxZejB7DgCoI0sPygEA5cjSg3IAAAAA9IxesSjijDPOiJUrVzY9xgv6t3/7t6ZHAPqwLJfNcgBA+bL0oBwAUL4sPSgHAJQvSw9mzwEAdWTpQTkAoBxZelAOAAAAgO7XKxZF/OEPf4iJEyfGVVddFU888UTT47R7+umn43//93/j2GOPjQsuuKDpcYA+LstlsxwAUL4sPSgHAJQvSw/KAQDly9KDmXJcfvX8pscAoEDTZszt8KzEHszS5xlyAEAdWXpQDgAAAIDuNaDpAdrMmTMn9t9//4iIGDZsWAwdOjQGDhzYyCwrV66M5cuXx2OPPdbI+QDPZ/qsBRHx7OXy2tpet73f28kBAOXL0oNyAED5svSgHABQviw9mCXH7BsWxZQJo5seA4DCzJyzMFasXFV8D2bp8yw5AKCOLD0oBwAAAED36TWLIqqqav/9448/Ho8//niD0wD0Xlkum+UAgPJl6UE5AKB8WXpQDgAoX5YezJIDAOrI0oNyAED5svSgHAAAAADdo9csimi1Wk2P8ILWXmQB0LQsl81yAED5svSgHABQviw9KAcAlC9LD2bJAQB1ZOlBOQCgfFl6UA4AAACArtdrFkWsvYihtyyNaJupt8wDsLYsl81yAED5svSgHABQviw92Fdy3LTwnh6fCQB6Sl/p81JyAEAdWXpQDgAoX5YelAMAAACga/VreoDnsvbSiCa1Wi1LIoBebfqsBXHhFXM6PD9y8rg4YPyuDUxUjxwAUL4sPSgHAJQvSw/2hRx7jRnZwEQAlG7iuFFNj9BpfaHPS8oBAHVk6UE5AKB8WXpQDgAAAICuM6DpAdq0LWRoWxLRW5ZFRIRlEUCvlmUzsRwAUL4sPSgHAJQvSw9mzzFlwugmxgGgcFMnjY0VK1cV34NZ+ry0HABQR5YelAMAypelB+UAAAAA6BqNL4p43/veFz/84Q9jxYoV0Wq1otVqRVVV0a9fv3jb294Wf//3f9/jixpWrlwZy5cvj/vvvz/mz58fM2fOjNWrV/foDADrI8tlsxwAUL4sPSgHAJQvSw9mzwEAdWTpQTkAoBxZelAOAChflh6UAwAAAGDDNb4o4jvf+U6cccYZ8Y1vfCPOPffceOSRR9qXRfziF7+IhQsXxoknnhjvfe97Y/DgwY3MeOONN8YBBxwQDz30UCPnA3RGlstmOQCgfFl6UA4AKF+WHsyeAwDqyNKDcgBAObL0oBwAUL4sPSgHAAAAwIbp1/QAERGbb755nH766XHPPffEN7/5zdh+++2jqqqoqiruvPPOOOGEE2LbbbeN0047LR555JEen2/33XePL33pSz1+LsD6mj5rQVx4xZwOz4+cPC4OGL9rAxPVIwcAlC9LD8oBAOXL0oPZcwBAHVl6UA4AKEeWHpQDAMqXpQflAAAAAKivVyyKaLPxxhvH8ccfH4sWLYqLL744xo0b174w4uGHH45TTz01tt122zj++OPjjjvu6NHZDj300Nhoo4169EyAOrJcNssBAOXL0oNyAED5svRg9hwAUEeWHpQDAMqRpQflAIDyZelBOQAAAADq6VWLItq0Wq2YOnVq/Pa3v41rr702DjrooOjXr19UVRVPPfVUnHvuubHLLrvEYYcdFv/7v//bIzNtvPHG8fKXv7xHzgLYUFkum+UAgPJl6UE5AKB8WXowU47Lr57f9BgAFGjajLkdnpXYg1n6PEMOAKgjSw/KAQDly9KDcgAAAACsv165KGJtb3nLW+LSSy+NhQsXxvvf//7YeOONo6qqWL16dVxyySXxlre8JcaPHx+XX355t88yZMiQbj8DoKtkuWyWAwDKl6UH5QCA8mXpwSw5Zt+wqOkRACjQzDkLU/Rglj7PkgMA6sjSg3IAQPmy9KAcAAAAAOun1y+KaLPTTjvFueeeG3fffXd89rOfjc033zyqqoqqquK3v/1tHHzwwTFq1Kj43ve+FytXruyWGQ4++ODYdNNNu+WzAbpDlstmOQCgfFl6UA4AKF+WHsySAwDqyNKDcgBA+bL0oBwAUL4sPSgHAAAAQOcVsyiizYgRI+KUU06Ju+++O/7jP/4jdtppp/aFEYsWLYrjjjsutttuu/j85z8fS5Ys6dKzTz/99Nh666279DMBuluWy2Y5AKB8WXpQDgAoX5YezJIDAOrI0oNyAED5svSgHABQviw9KAcAAABA5xS3KKLN4MGD45/+6Z/i1ltvjWnTpsWee+7ZvjDiwQcfjM985jOx7bbbxr/8y7/EXXfd1fS4AI3KctksBwCUL0sPygEA5cvSg1lyAEAdWXpQDgAoX5YelAMAypelB+UAAAAAeHHFLopo02q14pBDDonZs2fHnDlz4pBDDolWqxVVVcWyZcvi7LPPjpEjR8Y73/nO+P3vf9/0uACNyXLZLAcAlC9LD/aFHHuNGdnARACUbuK4UU2P0Gl9oc9LygEAdWTpQTkAoHxZelAOAChflh6UAwAAAOCFFb8oYm177LFHTJs2LRYtWhQf+MAHYpNNNomqqmLVqlVx0UUXxZve9KaYOHFi/PKXv2x6VIBGZLlslgMAypelB7PnmDJhdAPTAFC6qZPGpujBLH1eWg4AqCNLD8oBAOXL0oNyAED5svSgHAAAAADPL9WiiDbbb799nHPOOXHPPffEqaeeGltssUVUVRVVVcU111wTkydPjte97nVxwQUXxKpVq5oeF6BHZblslgMAypelB7PnAIA6svSgHABQjiw9KAcAlC9LD8oBAOXL0oNyAAAAADy3lIsi2gwfPjw+85nPxN133x3nnntu7Lzzzu0LIxYuXBj/8A//ENttt1188YtfjMcff7zpcQF6TJbLZjkAoHxZejB7DgCoI0sPygEA5cjSg3IAQPmy9KAcAFC+LD0oBwAAAEBHqRdFtBk0aFC8//3vj4ULF8all14ae++9d/vCiMWLF8cnP/nJeOUrXxkf/ehH49577216XIAekeWyWQ4AKF+WHsyeAwDqyNKDcgBAObL0oBwAUL4sPSgHAJQvSw/KAQAAALCuPrEoYm0HHXRQXHPNNfG73/0uDj300OjXr19UVRVPPPFEfO1rX4sdd9wx3v3ud8dNN93U9KgA3S7LZbMcAFC+LD2YPQcA1JGlB+UAgHJk6UE5AKB8WXpQDgAoX5Ye7As59hozsoGJAAAAgBL1uUURbcaOHRsXXXRRLFq0KE444YQYMmRIVFUVzzzzTFx44YXxhje8ISZNmhS//vWvmx4VoFv1hUtzOQCgDFl6MFOOy6+e3/QYABRo2oy5HZ6V2INZ+jxDDgCoI0sPygEA5cvSg3IAQPmy9GD2HFMmjG5gGgAAAKBEfXZRRJtXvepVsddee8WrX/3qiIhotVpRVVVUVRW/+c1v4oADDojdd989fvzjH8fq1asbnhage2S/NJcDAMqRpQez5Jh9w6KmRwCgQDPnLEzRg1n6PEsOAKgjSw/KAQDly9KDcgBA+bL0YPYcAAAAAJ3RZxdFrFixIr71rW/FyJEj453vfGfcfPPN7e+1Wq11FkYsWLAgjj766Nh+++3jvvvua3BqgO6T/dJcDgAoR5YezJIDAOrI0oNyAED5svSgHABQviw9KAcAlC9LD2bPAQAAAPBiBjQ9QE9bsmRJnH322XH22WfHww8/HFVVrfN+2+u2ZRFrP9tuu+1i0KBBPTswQA+aPmtBRDx7Sb62ttdt7/d2cgBA+bL0YJYcAFBHlh6UAwDKl6UH5QCA8mXpQTkAoHxZejB7DgAAAIAX0mcWRdxzzz3xla98Jb7//e/H8uXL11kI0aaqqg6v+/XrF4ccckicdNJJsccee/T43AA9LfulebYcNy28p8dnAoCe0lf6vJQcAFBHlh6UAwDKl6UH5QCA8mXpQTkAoHxZejB7DgAAAIDnk35RxB/+8If4whe+EBdffHGsXr36BRdEtD2rqio23njjOOaYY+LEE0+MHXbYoZHZAZqS/dI8U45hQwY3MRIAhZs4blRcdtX8psfolL7Q52u/DwAZZelBOQCgfFl6UA4AKF+WHpQDAMqXpQcz5Rg2ZHBMmTC66VEAAACAAqRdFDFz5sz44he/GL/+9a8jIjq9IGLEiBFx/PHHx/HHHx8jRozo+cEBeolMl+YReXP4hwEA1DF10thYsXJV8T2Ypc9LywEAdWTpQTkAoHxZelAOAChflh6UAwDKl6UHs+SYfcMifzcUAAAA6JRUiyKqqoqLL744vvSlL8W8efPan0WsuyCiTavVan9/hx12iBNPPDHe+973xuDB/uvsABF5Ls2z5wCAOrL0oBwAUI4sPSgHAJQvSw/KAQDly9KDcgBA+bL0YJYcAAAAAJ2RYlHE008/Hd///vfjrLPOij//+c8R8cILItZ+/01velOcdNJJ8fd///fP+70AfVmWS/PsOQCgjiw9KAcAlCNLD8oBAOXL0oNyAED5svSgHABQviw9mCUHAAAAwIspelHEo48+GmeffXacc8458fDDD7cvf4j4vwURVVWtswCi7fXkyZPjpJNOir333rvH5wYoTZZL8+w5AKCOLD0oBwCUI0sPygEA5cvSg3IAQPmy9KAcAFC+LD2YJQcAAADACylyUcTdd98dX/nKV+K8886L5cuXty+IeK6FEGsvjBg4cGC8613vio997GOxyy67NDI7QKmyXJpnzwEAdWTpQTkAoBxZelAOAChflh6UAwDKl6UH+0qOmxbe0+MzAUBP6St9XkoOAAAAgOfTr+kB1sdNN90URx11VOy0005xzjnnxLJly55zIURErPP6pS99aZx88slx1113xfe+9z1LIgBqmj5rQVx4xZwOz4+cPC4OGL9rAxPVkynH5VfPb3oMAAo0bcbcDs9K7MEsfZ4hBwDUkaUH5QCA8mXpQTkAoHxZerAv5NhrzMgGJgKgdBPHjWp6hE7rC31eUg4AAACA5zKg6QE64ze/+U188YtfjKuuuioiOi6DaHvWtjCi7f1tt902PvzhD8c//uM/xpAhQ3p+cICEsmxYzpJj9g2LYsqE0U2PAUBhZs5ZGCtWriq+B7P0eZYcAFBHlh6UAwDKl6UH5QCA8mXpwew5/F0NAOqYOmlsrFi5qvgezNLnpeUAAAAA+Fu9dlFEVVVx0UUXxZe+9KWYP39++7OIdRdEtFl7QcRuu+0WJ510UhxxxBHRv3//nhsaoI/IcmmeJQcA1JGlB+UAgPJl6UE5AKB8WXpQDgAoX5YezJ4DAOrI0oNyAAAAADSvX9MD/K2nn346zjnnnNhxxx3jyCOPjHnz5kVVVVFVVbRaredcEtH2/n777RczZsyI+fPnx5FHHtnlSyKOPfbYuPvuu7v0MwFKNX3Wgrjwijkdnh85eVwcMH7XBiaqJ0sOAKgjSw/KAQDly9KDcgBA+bL0oBwAUL4sPZg9BwDUkaUH5QAAAABo1oCmB2jz6KOPxje/+c0455xz4pFHHomqqtrfa1sO0bYsok1VVTFgwIA44ogj4mMf+1jstttu3Trj9ddfH8uWLevWMwBKkmXDcpYcAFBHlh6UAwDKl6UH5QCA8mXpQTkAoHxZejB7DgCoI0sPygEAAADQnMYXRdx1113xla98Jc4777x46qmn2hdE/O1CiFartc7CiGHDhsU//uM/xoc//OHYZpttemTWJ598skfOAZg4blRcdtX8psfolCyX5llyAEAdWXpQDgAoX5YelAMAypelB+UAgPJl6cHsOQCgjiw9KAcAAABAMxpfFLHTTjvFmjVrOr0gYuutt45/+Zd/iX/6p3+Kl7zkJT0257Jly+K+++7rsfOAvm3qpLGxYuWqYi6bs1yaZ8kBAHVk6UE5AKB8WXpQDgAoX5YelAMAypelBzPlGDZkcEyZMLrpUQAozLQZc2PqpLHrPCuxByNy9HlE+TkAAACAvq1f0wOsXr06IqLDQoi2Z1VVRVVVMWrUqPj+978fd911V3z84x/v0SUREREXXXRRrFq1qkfPBPq2IyePiwPG79r0GJ02fdaCuPCKOR2eywEA5cjSg3IAQPmy9KAcAFC+LD0oBwCUL0sPZskx+4ZFTY8AQIFmzlmYogez9HmWHAAAAEDfNaDpAdb2twsiIiL22WefOOmkk+LAAw9sbK7//d//jY997GONnQ/0XaVtJs6yYTlLDgCoI0sPygEA5cvSg3IAQPmy9KAcAFC+LD2YJQcA1JGlB+UAAAAAaF6vWRRRVVW0Wq323/fr1y8OPPDAGDt2bMydOzfmzp3bY7OsXLkyli9fHvfff3/84Q9/iFtvvXWd+QB6UmmXzVkuzbPkAIA6svSgHABQviw9KAcAlC9LD8oBAOXL0oNZcgBAHVl6UA4AAACAZvWaRRFra7VaUVVVXHnllXHllVc2OktVVY2eDxBR3mVzlkvzLDkAoI4sPSgHAJQvSw/KAQDly9KDfSXHTQvv6fGZAKCn9JU+LyUHANSRpQflAAAAAGhOv6YHaNNqtSLi2cUMvelr7dkAesq0GXM7PDty8rg4YPyuDUxTz/RZC+LCK+Z0eC4HAJQjSw/KAQDly9KDcgBA+bL0YF/IsdeYkQ1MBEDpJo4b1fQIndYX+rykHABQR5YelAMAAACgGQOaHqBNVVWxxRZbxKRJk2LnnXeOESNGxKBBgxpZ0rBy5cpYvnx53H///TF//vyYOXNmrF69usfnAPqumXMWxoqVq4rfTJxlw3KWHABQR5YelAMAypelB+UAgPJl6cHsOaZMGN3EOAAUbuqksbFi5ariezBLn5eWAwDqyNKDcgAAAAD0vF6zKOJ973tfnH322TFw4MCmR+ngxhtvjP333z8efvjhpkcB+pAsl81yAED5svSgHABQviw9KAcAlC9LD2bPAQB1ZOlBOQCgHFl6UA4AAACAntWv6QEiIvbYY4/49re/3SuXRERE7L777vHFL36x6TGAPmj6rAVx4RVzOjw/cvK4OGD8rg1MVI8cAFC+LD0oBwCUL0sPygEA5cvSg9lzAEAdWXpQDgAoR5YelAMAAACg5/SKRREf/OAHo9VqNT3GCzr88MNjo402anoMoA/KctksBwCUL0sPygEA5cvSg3IAQPmy9GD2HABQR5YelAMAypGlB+UAAAAA6Bm9YlHEHnvs0fQIL2rjjTeOl7/85U2PAfRRWS6b5QCA8mXpQTkAoHxZelAOAChflh7MngMA6sjSg3IAQDmy9KAcAAAAAN2vVyyK2HrrrZseoVOGDBnS9AhAH5blslkOAChflh6UAwDKl6UH5QCA8mXpwUw5Lr96ftNjAFCgaTPmdnhWYg9m6fMMOQCgjiw9KAcAAABA92p8UcR73vOe2HjjjZseo1MOPvjg2HTTTZseA+jDslw2ywEA5cvSg3IAQPmy9KAcAFC+LD2YJcfsGxY1PQIABZo5Z2GKHszS51lyAEAdWXpQDgAAAIDuM6DpAc4777ymR+i0008/vekRAGL6rAUR8ezl8traXre939vJAQDly9KDcgBA+bL0oBwAUL4sPZglBwDUkaUH5QCA8mXpQTkAAAAAuke/pgcAYP1l2UwsBwCUL0sPygEA5cvSg3IAQPmy9GCWHABQR5YelAMAypelB+UAAAAA6HoDmh4AgHqybCaWAwDKl6UH5QCA8mXpwb6S46aF9/T4TADQU/pKn5eSAwDqyNKDcgBA+bL0oBwAAAAAXatf0wMAUF+WzcRyAED5svSgHABQviw92Bdy7DVmZAMTAVC6ieNGNT1Cp/WFPi8pBwDUkaUH5QCA8mXpQTkAAAAAuo5FEQCFy3LZLAcAlC9LD8oBAOXL0oPZc0yZMLqBaQAo3dRJY1P0YJY+Ly0HANSRpQflAIDyZelBOQAAAAC6hkURAAlkuWyWAwDKl6UH5QCA8mXpwew5AKCOLD0oBwCUI0sPygEA5cvSg3IAAAAAbDiLIgCSyHLZLAcAlC9LD8oBAOXL0oPZcwBAHVl6UA4AKEeWHpQDAMqXpQflAAAAANgwFkUAJJLlslkOAChflh6UAwDKl6UHs+cAgDqy9KAcAFCOLD0oBwCUL0sPygEAAABQn0URAMlkuWyWAwDKl6UH5QCA8mXpwew5AKCOLD0oBwCUI0sPygEA5cvSg3IAAAAA1GNRBEBCWS6b5QCA8mXpQTkAoHxZejBTjsuvnt/0GAAUaNqMuR2eldiDWfo8Qw4AqCNLD8oBAOXL0oNyAAAAAKw/iyIAkspy2SwHAJQvSw/KAQDly9KDWXLMvmFR0yMAUKCZcxam6MEsfZ4lBwDUkaUH5QCA8mXpQTkAAAAA1o9FEQCJZblslgMAypelB+UAgPJl6cEsOQCgjiw9KAcAlC9LD8oBAOXL0oNyAAAAAHSeRREAyWW5bJYDAMqXpQflAIDyZenBLDkAoI4sPSgHAJQvSw/KAQDly9KDcgAAAAB0zoCmBwCg+02ftSAinr1cXlvb67b3ezs5AKB8WXqwr+S4aeE9PT4TAPSUvtLnpeQAgDqy9KAcAFC+LD0oBwCUL0sPygEAAADw4vo1PQAAPSPLZmI5AKB8WXqwL+TYa8zIBiYCoHQTx41qeoRO6wt9XlIOAKgjSw/KAQDly9KDcgBA+bL0oBwAAAAAL8yiCIA+JMtlsxwAUL4sPZg9x5QJoxuYBoDSTZ00NkUPZunz0nIAQB1ZelAOAChflh6UAwDKl6UH5QAAAAB4fhZFAPQxWS6b5QCA8mXpwew5AKCOLD0oBwCUI0sPygEA5cvSg3IAQPmy9KAcAAAAAM/Nooj1MGDAgLjllluaHgNgg2W5bJYDAMqXpQez5wCAOrL0oBwAUI4sPSgHAJQvSw/KAQDly9KDcgAAAAB0VOyiiNNOO61Hz3vyySdjzZo1PXomQHfKctksBwCUL0sPZs8BAHVk6UE5AKAcWXpQDgAoX5YelAMAypelB+UAAAAAWFexiyJOPfXUeOSRR3rsvD/+8Y/RarV67DyAnpDlslkOAChflh7MngMA6sjSg3IAQDmy9KAcAFC+LD0oBwCUL0sP9oUce40Z2cBEAAAAQImKXRRRVVWPLor42te+1mNnAfSkvnBpLgcAlCFLD2bKcfnV85seA4ACTZsxt8OzEnswS59nyAEAdWTpQTkAoHxZelAOAChflh7MnmPKhNENTAMAAACUqNhFERER8+bN65FzfvSjH8VFF13UI2cBNCH7pbkcAFCOLD2YJcfsGxY1PQIABZo5Z2GKHszS51lyAEAdWXpQDgAoX5YelAMAypelB7PnAAAAAOiMohdFTJ8+vdvPuOKKK+LYY4/t9nMAmpb90lwOAChHlh7MkgMA6sjSg3IAQPmy9KAcAFC+LD0oBwCUL0sPZs8BAAAA8GKKXhRxySWXxCOPPNJtn//DH/4wDj300Fi1alW3nQHQm2S/NJcDAMqRpQez5ACAOrL0oBwAUL4sPSgHAJQvSw/KAQDly9KD2XMAAAAAvJCiF0UsW7YsTjrppG757H/913+NY445JlauXNktnw/QW2W/NJcDAMqRpQez5ACAOrL0oBwAUL4sPSgHAJQvSw/KAQDly9KD2XMAAAAAPJ+iF0VERFxwwQVx8cUXd9nnPfHEE3HQQQfFF77whaiqKlqtVpd9NkApsl+aZ8qx15iRDUwEQOkmjhvV9Aid1hf6vKQcAFBHlh6UAwDKl6UH5QCA8mXpQTkAoHxZejBTjsuvnt/0GAAAAEAhil8UUVVVvPe97425c+du8GfdcsstMWbMmPjFL35hSQTQ52W6NM+cY8qE0Q1MA0Dppk4am6IHs/R5aTkAoI4sPSgHAJQvSw/KAQDly9KDcgBA+bL0YJYcs29Y1PQIAAAAQCGKXxTRarVi+fLl8ba3vS0WLlxY+3MuuuiiePOb3xy33357+5KIqqq6cFKA8mS5NM+eAwDqyNKDcgBAObL0oBwAUL4sPSgHAJQvSw/KAQDly9KDWXIAAAAAdEbxiyLaljk88sgjMWnSpLjrrrvW6+dXr14dH/nIR+Kd73xnPPnkkxHx7PKJtl+rqrIwAujTslyaZ88BAHVk6UE5AKAcWXpQDgAoX5YelAMAypelB+UAgPJl6cEsOQAAAABeTNGLIiZMmBDXXHNNfPzjH4+IiPvuuy/23XffWLx4cad+fvHixTFhwoT4xje+EVVVtS+IaFNVVey2227x1a9+NQ444IAunx+gFFkuzbPnAIA6svSgHABQjiw9KAcAlC9LD8oBAOXL0oNyAED5svRglhwAAAAAL2RA0wNsiG9961ux0047xd577x2vfvWr45//+Z/jz3/+c+y3335xzTXXxPDhw5/3Z6+99to44ogj4oEHHuiwJKKqqujfv3+ceuqpcfLJJ0e/fv3i8MMPj1e84hU9EQugV5o+a0FEPHtJvra2123v93bZcwBAHVl6UA4AKEeWHpQDAMqXpQflAIDyZenBvpLjpoX39PhMANBT+kqfl5IDAAAA4Pn0a3qAuj73uc/Fjjvu2P76uOOOi7PPPjuqqopbbrklDjzwwHjyySef82fPOuus2HfffWPx4sXPuSRiq622it/85jfxr//6r9Gv37N/RFtvvXWccsopscUWW3RvMIBeLMuG5Uw5Lr96ftNjAFCgaTPmdnhWYg9m6fMMOQCgjiw9KAcAlC9LD8oBAOXL0oN9IcdeY0Y2MBEApZs4blTTI3RaX+jzknIAAAAAPJeiF0WsveAhIuIDH/hAfPGLX4yqquKGG26Igw46KFasWNH+/rJly+KII46Ik046KZ555plotVodlkTss88+MX/+/Bg/fnyHMz/72c/GiBEjui8UQAGyXJpnyTH7hkVNjwBAgWbOWZiiB7P0eZYcAFBHlh6UAwDKl6UH5QCA8mXpwew5pkwY3cA0AJRu6qSxKXowS5+XlgMAAADgbxW7KOL5fOxjH4tPfvKTUVVVXHPNNXHooYfG6tWr49Zbb403velN8d///d9RVVWHBREREZ/85Cfjqquuii233LKp8QGKkOXSPEsOAKgjSw/KAQDly9KDcgBA+bL0oBwAUL4sPZg9BwDUkaUH5QAAAABo3oCmB+gOZ5xxRjz22GPxH//xH3HllVfGfvvtF7///e/jiSeeiIjosCRi+PDh8YMf/CDe9ra3NTUyQHGmz1oQEc9ekq+t7XXb+71dlhwAUEeWHpQDAMqXpQflAIDyZelBOQCgfFl6MHsOAKgjSw/KAQAAANCsfk0P0F3OPvvsOOqoo6Kqqrjmmmued0nE2LFjY968eZ1aEjFgwIC45ZZbum1mgNJk2bCcJQcA1JGlB+UAgPJl6UE5AKB8WXpQDgAoX5YezJ4DAOrI0oNyAAAAADQn7aKIiIjzzz8/DjrooKiqKlqtVoclEccff3zMnj07tt122xf9rKeffjrWrFnTneMCtJs4blTTI3RalkvzLDkAoI4sPSgHAJQvSw/KAQDly9KDcgBA+bL0YPYcAFBHlh6UAwAAAKAZqRdF9O/fPy666KKYOHFiVFUVEc8uiBgyZEj85Cc/iW9+85ux0UYbdeqz/vznP6+zaAKgO02dNLaoy+Ysl+ZZcgBAHVl6UA4AKF+WHpQDAMqXpQflAIDyZenBTDkuv3p+02MAUKBpM+Z2eFZiD2bp8ww5AAAAgL4t9aKIiIiBAwfGZZddFm9605uiqqp43eteF3Pnzo3DDz98vT7nK1/5SjdNCPDcSrtsznJpniUHANSRpQflAIDyZelBOQCgfFl6UA4AKF+WHsySY/YNi5oeAYACzZyzMEUPZunzLDkAAACAvmtAE4fOmjWrx888+eST48tf/nJ8+tOfjgceeCAeeOCBF/z+VatWxeOPPx533313TJs2LWbPnh2tVquHpgV41pGTx0XEs5fRJWibs23uNnIAQDmy9KAcAFC+LD0oBwCUL0sPygEA5cvSg1lyAEAdWXpQDgAAAIDmNbIoYp999mls6cLb3/72Rs4FqKu0y+Ysl+ZZcgBAHVl6UA4AKF+WHpQDAMqXpQflAIDyZenBLDkAoI4sPSgHAAAAQLMaWRSx7bbbxj333NPE0bU0tdQCoE1pl81ZLs2z5ACAOrL0oBwAUL4sPSgHAJQvSw/2lRw3LSzn7yQAwPrqK31eSg4AqCNLD8oBAAAA0Jx+TRz6gQ98ICKeXcBQwhdAT5s2Y26HZ0dOHhcHjN+1gWnqmT5rQVx4xZwOz+UAgHJk6UE5AKB8WXpQDgAoX5Ye7As59hozsoGJACjdxHGjmh6h0/pCn5eUAwDqyNKDcgAAAAA0o5FFEf/4j/8YgwcPbn9dVVUTYwD0WjPnLExx2Zzl0jxLDgCoI0sPygEA5cvSg3IAQPmy9GD2HFMmjG5gGgBKN3XS2BQ9mKXPS8sBAHVk6UE5AAAAAHpeI4sihg8fHkcccUT7gohWqxVVVfXqL4CeluWyWQ4AKF+WHpQDAMqXpQflAIDyZenB7DkAoI4sPSgHAJQjSw/KAQAAANCzBjR18Ac/+MG44IILIiKiqqo45JBD4pBDDontttsuhg0bFoMHD46NNtoo+vfvH61Wq8fnW7lyZTz66KNxyy23xAUXXBCzZs3q8RkAps9aEBHPXi6vre112/u9nRwAUL4sPSgHAJQvSw/KAQDly9KD2XMAQB1ZelAOAChHlh6UAwAAAKDnNLYo4g1veEPssccecf3118exxx4b3/3ud5sa5QXtscce8d73vjcOOuig+MUvftH0OEAflOWyWQ4AKF+WHpQDAMqXpQflAIDyZenB7DkAoI4sPSgHAJQjSw/KAQAAANAz+jV5+AknnBBVVcUee+zR5Bid8qEPfajpEYA+bPqsBXHhFXM6PD9y8rg4YPyuDUxUjxwAUL4sPSgHAJQvSw/KAQDly9KD2XMAQB1ZelAOAChHlh6UAwAAAKD7Nboo4vDDD48tt9wybr755ibH6JTRo0c3PQLQx2W5bJYDAMqXpQflAIDyZelBOQCgfFl6MFOOy6+e3/QYABRo2oy5HZ6V2INZ+jxDDgCoI0sPygEAAADQvRpdFLHRRhvF+973vrj33nubHKNTNttss6iqqukxgD4uy2WzHABQviw9KAcAlC9LD8oBAOXL0oNZcsy+YVHTIwBQoJlzFqbowSx9niUHANSRpQflAAAAAOg+A5oe4HOf+1wMGND4GB3cf//98dBDD8WrX/3qGDZsWERE3HXXXfHyl7+84cmAvm76rAUR8ezl8traXre939vJAQDly9KDcgBA+bL0oBwAUL4sPZglBwDUkaUH5QCA8mXpQTkAAAAAuke/pgfojUsiIiKqqorDDjssRo8eHTfffHNERGy77ba9dl6gb8mymVgOAChflh6UAwDKl6UH5QCA8mXpwSw5AKCOLD0oBwCUL0sPygEAAADQ9RpfFNFbvfzlL4/f/OY3sXLlyth7773jd7/7XdMjAawjy2WzHABQviw9KAcAlC9LD8oBAOXL0oNZcgBAHVl6UA4AKF+WHpQDAAAAoGtZFPECttlmm7jgggti6dKl8ba3vS1uvfXWpkcCWEeWy2Y5AKB8WXpQDgAoX5Ye7As59hozsoGJACjdxHGjmh6h0/pCn5eUAwDqyNKDcgBA+bL0oBwAAAAAXceiiBfxhje8ISIili5dGoceemg888wzDU8EsK4sl81yAED5svSgHABQviw9mD3HlAmjG5gGgNJNnTQ2RQ9m6fPScgBAHVl6UA4AKF+WHpQDAAAAoGsMaHqArrZ69ep47LHHYuXKlfHMM89EVVWd/tmqqmL16tWxcuXKWLZsWdx9993xne98p/29hQsXxrnnnhsf/OAHu2t8gFqmz1oQEc9eLq+t7XXb+72dHABQviw9KAcAlC9LD2bPAQB1ZOlBOQCgHFl6UA4AKF+WHpQDAAAAYMMVvyjiqaeeinPPPTcuvfTSuOWWW+LRRx/t8jNarVZUVRVVVcX5559vUQTQK2W5bJYDAMqXpQflAIDyZenB7DkAoI4sPSgHAJQjSw/KAQDly9KDcgAAAABsmKIXRcybNy+mTp0a99xzT0REVFXVLee0Wq32ZRELFy7sljMAukKWy2Y5AKB8WXpQDgAoX5YezJ4DAOrI0oNyAEA5svSgHABQviw9KAcAAABAfcUuirjzzjtj3333jaVLl7Y/a7Va3X7uS1/60m4/A2BDZLlslgMAypelB+UAgPJl6cHsOQCgjiw9KAcAlCNLD8oBAOXL0oNyAAAAANTTr+kB6vqXf/mXWLp0abRarfav51NVVa0z/vbnWq1WvPvd7671WQA9afqsBXHhFXM6PD9y8rg4YPyuDUxUjxwAUL4sPSgHAJQvSw9mynH51fObHgOAAk2bMbfDsxJ7MEufZ8gBAHVk6UE5AKB8WXpQDgAAAID1V+SiiNtuuy2uvPLKDsshqqp6zq8Xeu+FvlqtVvvvN9lkkzjhhBPi85//fBORAdZblstmOQCgfFl6UA4AKF+WHsySY/YNi5oeAYACzZyzMEUPZunzLDkAoI4sPSgHAJQvSw/KAQAAALB+BjQ9QB2XXXZZ+yKHiGeXQGy33XZx4IEHxqhRo+IVr3hFDBkyJAYPHhw//vGP43vf+178/d//fXzwgx/s9Bmf+MQnYu7cuXHcccfFBz/4wdhpp51io4026q5IAN1i+qwFEfHs5fLa2l63vd/byQEA5cvSg3IAQPmy9GCWHABQR5YelAMAypelB+UAgPJl6UE5AAAAADqvyEUR1157bfvvN9100zj33HPj0EMPfc7v3WabbeJ73/tezJkzJ376059G//79O3XGBRdcEKNHj44f/vCH8S//8i+WRADFynLZLAcAlC9LD8oBAOXL0oNZcgBAHVl6UA4AKF+WHpQDAMqXpQflAAAAAOicfk0PUMef/vSniIjo169fXHnllc+7JCIiYocddoi99torFi9eHJdddlmnz9h5553jk5/8ZCxfvjwOP/zwWLFixQbPDdCU6bMWxIVXzOnw/MjJ4+KA8bs2MFE9cgBA+bL0oBwAUL4sPZglBwDUkaUH5QCA8mXpQTkAoHxZelAOAAAAgBdX5KKIBx54IFqtVhx++OHxpje96UW//33ve19UVRXnnHPOep3z0Y9+NLbccsu4+eab42Mf+1jdcQF6hSyXzXIAQPmy9GBfyLHXmJENTARA6SaOG9X0CJ3WF/q8pBwAUEeWHpQDAMqXpQflAIDyZelBOQAAAABeWJGLIpYtWxYREQceeGCnvv/www+PTTfdNP7nf/4n/vjHP3b6nE022SSOPfbYqKoq/uM//iOuuuqqWvMC9BZZLpvlAIDyZenB7DmmTBjdwDQAlG7qpLEpejBLn5eWAwDqyNKDcgBA+bL0oBwAUL4sPSgHAAAAwPMrclHEoEGDIiLiFa94Rae+f/DgwXH00UdHVVXx5S9/eb3OOvTQQyMioqqqOO6442LlypXrNyxAL5PlslkOAChflh7MngMA6sjSg3IAQDmy9KAcAFC+LD0oBwCUL0sPygEAAADw3IpcFPGyl70sIiKeeuqpTv/M8ccfH61WKy688MJYtGhRp39u5513joiIVqsVd911V0ybNm29ZgXojbJcNssBAOXL0oPZcwBAHVl6UA4AKEeWHpQDAMqXpQflAIDyZelBOQAAAAA6KnJRxMtf/vKIiLj++us7/TM77rhjTJ48OVatWhUnnHBCp3/uiSeeWOf1xRdf3OmfBejNslw2ywEA5cvSg9lzAEAdWXpQDgAoR5YelAMAypelB+UAgPJl6UE5AAAAANZV5KKIsWPHRlVVce6558YjjzzS6Z/7+Mc/HhERv/nNb+Lss8/u1M9cdNFF7b+vqipuuumm9RsWoBfLctksBwCUL0sPZs8BAHVk6UE5AKAcWXpQDgAoX5YelAMAypelB/tCjr3GjGxgIgAAAKBERS6KGD9+fEREPPTQQ7H//vvHn//850793Fve8pbYZ599oqqqOPHEE+PSSy99we+/9dZb43Of+1y0Wq32Z4sXL649N0Bv1BcuzeUAgDJk6cFMOS6/en7TYwBQoGkz5nZ4VmIPZunzDDkAoI4sPSgHAJQvSw/KAQDly9KD2XNMmTC6gWkAAACAEhW5KOLggw+OESNGRETEvHnzYuTIkTFmzJiYOHFivPWtb413vOMd8b3vfS/WrFnT4WfPOOOMiIhYtWpVHHbYYfGv//qv8fjjj3f4vp/85Ccxfvz4WLJkyTrPBw8e3A2JAJqV/dJcDgAoR5YezJJj9g2Lmh4BgALNnLMwRQ9m6fMsOQCgjiw9KAcAlC9LD8oBAOXL0oPZcwAAAAB0xoCmB6hj4MCB8ZGPfCQ+9alPRavVitWrV8e8efOi1Wq1f8/FF18cv//97+Nb3/rWOj87bty4ePe73x0//OEPY/Xq1fGFL3whvvGNb8S4ceNi6623jqVLl8bcuXPjwQcfjKqq2j+z7fcjR47s0awAPWX6rAUR8ewl+draXre939vJAQDly9KDWXIAQB1ZelAOAChflh6UAwDKl6UH5QCA8mXpwew5AAAAAF5Mv6YHqOvjH/94vPGNb+ywzGHtr/PPPz9Wr17d4We/9rWvxVZbbRWtViuqqorly5fHzJkz48c//nH84he/iAceeGCdz13bIYcc0u3ZAJqSfcOyHABQjiw9mCUHANSRpQflAIDyZelBOQCgfFl6UA4AKF+WHsyeAwAAAOCFFLsoon///nHFFVfEyJEj25c6rP0VEc+56CEiYtNNN42f/vSnMWDAgPbvX3vBxNqfsbatttoqjj/++G7NBdC07JfmcgBAObL0YJYcAFBHlh6UAwDKl6UH5QCA8mXpQTkAoHxZejB7DgAAAIDnU+yiiIiILbfcMmbPnh0HHXTQOoseqqqKiIjjjjsu+vfv/5w/u/fee8ePfvSj9vf/dsnE2qqqio033jguueSSGDJkSPcFAuglsl+aZ8qx15iRDUwEQOkmjhvV9Aid1hf6vKQcAFBHlh6UAwDKl6UH5QCA8mXpQTkAoHxZejBTjsuvnt/0GAAAAEAhBjQ9wIYaMWJEXHrppXHdddfFT3/607jjjjviJS95SbztbW+Lo4466gV/9rDDDovNN9883vOe98S9997b/rzVarUvm4iIeO1rXxs//vGP4/Wvf3235QDobabPWhARz16Sr63tddv7vV32HFMmjG5iHAAKN3XS2FixclXxPZilz0vLAQB1ZOlBOQCgfFl6UA4AKF+WHpQDAMqXpQez5Jh9wyJ/NxQAAADolOIXRbTZc889Y88991zvn9tnn33ijjvuiIsuuiguu+yyuOuuu+Kxxx6L4cOHx+tf//qYPHlyvP3tb49Wq9UNUwP0blkuzbPnAIA6svSgHABQjiw9KAcAlC9LD8oBAOXL0oNyAED5svRglhwAAAAAnZFmUcSGGDBgQBx55JFx5JFHNj0KQK+T5dI8ew4AqCNLD8oBAOXI0oNyAED5svSgHABQviw9KAcAlC9LD2bJAQAAAPBi+jU9AAC93/RZC+LCK+Z0eH7k5HFxwPhdG5ionuw5AKCOLD0oBwCUI0sPygEA5cvSg3IAQPmy9KAcAFC+LD2YJQcAAADACxnQ9AAAlCHLhuXsOQCgjiw9KAcAlCNLD8oBAOXL0oNyAED5svRgX8lx08J7enwmAOgpfaXPS8kBAAAA8Hz6NT0AAOXIsmE5U47Lr57f9BgAFGjajLkdnpXYg1n6PEMOAKgjSw/KAQDly9KDcgBA+bL0YF/IsdeYkQ1MBEDpJo4b1fQIndYX+rykHAAAAADPJd2iiLvvvju+//3vxzHHHBP77bdfjB49OubPf/5/ifaRRx6JffbZJ0444YS49NJLY9WqVT04LUB5slyaZ8kx+4ZFTY8AQIFmzlmYogez9HmWHABQR5YelAMAypelB+UAgPJl6cHsOaZMGN3ANACUbuqksSl6MEufl5YDAAAA4G8NaHqArvK73/0u/u3f/i2uvPLK9mdVVUWr1YqnnnrqeX+uqqoYP358fO9734tvfetbsfnmm8c//dM/xUknnRRDhgzpidEBijN91oKIePaSfG1tr9ve7+2y5ACAOrL0oBwAUL4sPSgHAJQvSw/KAQDly9KD2XMAQB1ZelAOAAAAgOb1a3qADVVVVXziE5+IPffcM6688sqoqqr9qzNGjBgRp512Wtx5551xxhlnxPLly+P000+PnXfeOaZNm9bN0wOUK8uG5Sw5AKCOLD0oBwCUL0sPygEA5cvSg3IAQPmy9GD2HABQR5YelAMAAACgWUUvili1alW87W1viy9/+cvtyyFarVb71/oYPHhwnHzyyXHDDTfEa17zmrjvvvvi8MMPjxNPPDHWrFnTTQkAypbl0jxLDgCoI0sPygEA5cvSg3IAQPmy9KAcAFC+LD2YPQcA1JGlB+UAAAAAaE7RiyKOO+64+NWvfrXOgoi2hRF1jRw5Mq6++uoYOXJkVFUVX//612Pq1KmWRQA9auK4UU2P0GlZLs2z5ACAOrL0oBwAUL4sPSgHAJQvSw/KAQDly9KD2XMAQB1ZelAOAAAAgGYUuyjioosuivPOO699QUSbv31dx4gRI+KHP/xh9O/fP6qqip///Ofx/ve/f0NHBui0qZPGFnXZnOXSPEsOAKgjSw/KAQDly9KDcgBA+bL0oBwAUL4sPZgpx+VXz296DAAKNG3G3A7PSuzBLH2eIQcAAADQtxW5KGLVqlXx6U9/usPzqqrW+doQY8eOjYMOOqj9c88777z42c9+tkGfCbA+SrtsznJpniUHANSRpQflAIDyZelBOQCgfFl6UA4AKF+WHsySY/YNi5oeAYACzZyzMEUPZunzLDkAAACAvqvIRRG/+tWv4vbbb49WqxURzy5y2HnnneP888+PhQsXxmOPPRbPPPPMBp9z1FFHRUREq9WKqqriox/9aJd8LkBnlXbZnOXSPEsOAKgjSw/KAQDly9KDcgBA+bL0oBwAUL4sPZglBwDUkaUH5QAAAABoXpGLIq688sp1Xh9//PFx4403xtFHHx0777xzDBs2LPr377/B5+yxxx7rvL777rtj+vTpG/y5AOujtMvmLJfmWXIAQB1ZelAOAChflh6UAwDKl6UH5QCA8mXpwSw5AKCOLD0oBwAAAECzilwUMWfO/13EHHHEEfHNb34zBg4c2OXnbLHFFh2e/exnP+vycwBeTGmXzVkuzbPkAIA6svSgHABQviw9KAcAlC9LD8oBAOXL0oNZcgBAHVl6UA4AAACA5hS5KGLx4sURETFixIj4zne+023nPPnkk+u8rqoqfv/733fbeQBtps2Y2+FZaZfNWS7Ns+QAgDqy9KAcAFC+LD0oBwCUL0sP9oUce40Z2cBEAJRu4rhRTY/QaX2hz0vKAQB1ZOlBOQAAAACaUeSiiEceeSRarVYcffTRMXTo0G475957723/favVioiI+++/v9vOA2gzc87CFJfNWS7Ns+QAgDqy9KAcAFC+LD0oBwCUL0sPZs8xZcLoBqYBoHRTJ41N0YNZ+ry0HABQR5YelAMAAACg5xW5KGLgwIEREbH33nt36zlXX311h2dLly7t1jMB2mS5bJYDAMqXpQflAIDyZelBOQCgfFl6MHsOAKgjSw/KAQDlyNKDcgAAAAD0rCIXRWy11VYREfGSl7ykW8+54IILOjwbOnRot54JsLYsl81yAED5svSgHABQviw9KAcAlC9LD2bPAQB1ZOlBOQCgHFl6UA4AAACAnlPkoojXvOY1ERFx3333ddsZF110Udx4443RarUiIqKqqoiI2H777bvtTIDnkuWyWQ4AKF+WHpQDAMqXpQflAIDyZenB7DkAoI4sPSgHAJQjSw/KAQAAANAzilwUsc8++0RVVTFz5sxu+fwHH3wwTjjhhPYlEW1arVa8+c1v7pYzAV5IlstmOQCgfFl6UA4AKF+WHpQDAMqXpQez5wCAOrL0oBwAUI4sPSgHAAAAQPcrclHEoYceGv369Yuf/vSnsXjx4i797Icffjj222+/ePjhhyMioqqqdd4/5JBDuvQ8gM7KctksBwCUL0sPygEA5cvSg3IAQPmy9GCmHJdfPb/pMQAo0LQZczs8K7EHs/R5hhwAUEeWHpQDAAAAoHsVuSjila98ZRxyyCGxbNmyOO6447rsc2+//faYOHFiLFiwIFqtVlRVtc6vu+yyS7z1rW/tsvMA1leWy2Y5AKB8WXpQDgAoX5YelAMAypelB7PkmH3DoqZHAKBAM+csTNGDWfo8Sw4AqCNLD8oBAKxj++2bnqDzDjww4vbbm54CAOAFFbkoIiLi85//fAwePDiuuOKKeP/73x9r1qyp/VlVVcVZZ50Vu+++e9x8883P+31nnnlm7TMAukqWy2Y5AKB8WXpQDgAoX5YelAMAypelB7PkAIA6svSgHABQviw9KAcA0O6uu5qeoPPuvTdi5cqmpwAAeEHFLorYaaed4swzz4yqquI///M/Y++9947f/e536/UZf/3rX+O0006LV73qVXHSSSfF8uXLo6qqaLVaHX49+uijY8qUKd2UBmD9ZLlslgMAypelB+UAgPJl6UE5AKB8WXowSw4AqCNLD8oBAOXL0oNyAADtli5teoLOefzxpicAAHhRA5oeYEN86EMfiltuuSW+853vxP/+7//GnnvuGa997Wtj8uTJ8drXvrb9++bOnRuLFy+Oxx57LB566KGYP39+XH/99XHX/7+FrKqqiIhotVrtr9t+HxGx5557xre//e2eCwbQCdNnLYiIZy+X19b2uu393k4OAChflh6UAwDKl6UH+0qOmxbe0+MzAUBP6St9XkoOAKgjSw/KAQDly9KDcgAAERExf37EhAlNT/HCHn004r77mp4CAOBFFb0oIiLi3HPPjSFDhsRXv/rViIi4+eab4+abb25/v6qqOPHEEzv8XNtyiIhYZynE2q+rqor99tsvpk2bFgMHDuyO8QE2SJbLZjkAoHxZelAOAChflh7sCzmGDRncxEgAFG7iuFFx2VXzmx6jU/pCn6/9PgBklKUH5QCA8mXpQTkAgDj77N6/KOK7341Y6989BADorfo1PUBX+MpXvhKXX355bL755u0LIKqqilarFa1WK6qq6vDV9t7fLolo+9n+/fvHv//7v8f06dNj6NChPR0JoNOmz1oQF14xp8PzIyePiwPG79rARPXIAQDly9KDcgBA+bL0YPYcUyaMbmAaAEo3ddLYFD2Ypc9LywEAdWTpQTkAoHxZelAOAOjjLr004mMfi1i2rOlJOlq9OuIHP4j43OeangQAoFMGND1AV3n7298eN998c3z961+P73znO/HQQw+tsxDixbQtmOjfv38ceuihcfLJJ8duu+3W3WMDdIksm4nlAIDyZelBOQCgfFl6MHsOAKgjSw/KAQDlyNKDcgBA+bL0oBwA0Md99asRZ58d8drXRrzylRFDh0YMHNjMLCtXRixfHnHffRG33PLsAouqiujEv48IANC0NIsiIiJGjBgRp59+enz605+O//7v/47f/OY3cd1118WiRYte8OeGDh0a48aNi/Hjx8e73/3u2HbbbXtoYoCuk+WyWQ4AKF+WHpQDAMqXpQez5wCAOrL0oBwAUI4sPSgHAJQvSw/KAQB9WFU9u6Bh/vyIG29seppn/f//EWoAgJKkWhTRZtCgQXHUUUfFUUcdFRERjz76aPzlL3+JJUuWxJIlS2L58uXxkpe8JIYPHx4jRoyIHXfcMfr169fw1AAbLstlsxwAUL4sPSgHAJQvSw9mzwEAdWTpQTkAoBxZelAOAChflh6UAwD6qFbr2V+rqnctaFh7LgCAAqRcFPG3hg8fHsOHD296DIAekeWyWQ4AKF+WHpQDAMqXpQez5wCAOrL0oBwAUI4sPSgHAJQvSw/KAQB9UFU9u5ShbTEDAAC19Gt6AAC63vRZC+LCK+Z0eH7k5HFxwPhdG5ioHjkAoHxZelAOAChflh7MlOPyq+c3PQYABZo2Y26HZyX2YJY+z5ADAOrI0oNyAED5svSgHADQB1XV/30BAFCLRREASWW5bJYDAMqXpQflAIDyZenBLDlm37Co6REAKNDMOQtT9GCWPs+SAwDqyNKDcgBA+bL0oBwA0Ie0Wuu+XntpRJNfAACFGdD0AAB0n+mzFkTEs5fLa2t73fZ+bycHAJQvSw/KAQDly9KDWXIAQB1ZelAOAChflh6UAwDKl6UH5QCA5EaOjFj0//9HJdqWRVRVRL9+EfvuG7H11j0/08qVEcuXR9x/f8TNN0csW9bzMwAA1NTrF0XcdtttcdVVV8W8efPiwQcfjFWrVsWWW24ZW2+9dfx/7N15mB1keT7+e7KQAAkhIMoa4AsEoqJGFolsBhXRAiogChaRulZRKYtWEfeqBSwqCAK2SEHBBYUCNaImGLERiKCNggQoOwjIHiAJSc7vj/ObLMwkmTmZmTPvO5/Pdc2VmXNmznlv5er95O34sOeee2bq1KkZNWpUu48JMGjVctksBwCUr5YelAMAyldLD9aSAwBaUUsPygEA5aulB+UAgPLV0oNyAEDF/vKX5LLLklNPTX772+ZjHR3NZRG//nVy2GHJ8ccnL35xe863aFHy7W8nxx6bLF7cnjMAAPTCoF0Ucd111+Wkk07KL3/5y5V+z1e/+tWsvfba+Yd/+IecdNJJ2WijjQbwhADlqOWyWQ4AKF8tPThUcvzx5rsH/EwAMFCGSp+XkgMAWlFLD8oBAOWrpQflAIDy1dKDcgBAxd785ubH9dcnJ5+cXHppcynDwoXJ+ec3P970puSEE5K99hrYs40YkRx9dPLII8kXvjCw7w0A0IJh7T5Ad0466aTsscce+eUvf5lGo7HKj2eeeSbf+ta3su222+aiiy5q99EBBq1pM+fk+1fM6vL44ftPyX577diGE7VGDgAoXy09OBRy7LHzxDacCIDS7TNlUruP0GNDoc9LygEArailB+UAgPLV0oNyAED5aulBOQCgcrvskvzoR8ncucmHP5yss07SaDQ//vu/k6lTk113bX5PozGwZ/vHfxzY9wMAaNGgWhSxePHivOtd78qXv/zlLFq0KI1GIx0dHav9aDQaeeqpp/L3f//3+fKXv9zuGACDVi2XzXIAQPlq6cHacxwwdXIbTgNA6Q7ed5cqerCWPi8tBwC0opYelAMAyldLD8oBAOWrpQflAIAhYOutk9NPT+6+O/niF5MXvWjZwojf/z55xzuSbbdNvvWt5NlnB+ZML3xhsummA/NeAABrYFAtijj22GNz4YUXrrAgotForPIjyQrfe9JJJ+WCCy5ocxKAwauWy2Y5AKB8tfRg7TkAoBW19KAcAFCOWnpQDgAoXy09KAcAlK+WHpQDAIaI8eOTE09M7rorOeecZNKkZQsj7rwz+ehHky22SD7zmeShh/r/POuv3//vAQCwhgbNoohLLrkkp59++tKlD0m6LILo7uP5CyMajUY+9KEPZe7cuW3LAjDY1XLZLAcAlK+WHqw9BwC0opYelAMAylFLD8oBAOWrpQflAIDy1dKDcgDAELLWWsl735v8+c/Jf/1XsvfeyxZGPPpo8i//kmy1VfLBDyb9+b8f3Gyz5lkAAAaxQbEo4tlnn80xxxyz9OvO5Q/PXxrx/I8kKyyM6PTMM8/kc5/73EBGAChOLZfNcgBA+WrpwdpzAEAraulBOQCgHLX0oBwAUL5aelAOAChfLT0oBwAMQfvvn8yYkcyenRx6aDJ8eHNhxPz5ybnnJi9+cfLWtyb/8z99/97TpiXbbtv3rwsA0IcGxaKI888/P/fdd9/ShQ/LL39oNBoZMWJEdtxxx7z5zW/OO9/5zhxwwAHZddddM3LkyBWWSiRZ+nM//vGPc88997Q5GcDgVstlsxwAUL5aerD2HADQilp6UA4AKEctPSgHAJSvlh6UAwDKV0sPDoUce+w8sQ0nAoBB7pWvTC6+OLnttuQjH0nGjGkujFiyJPmv/0r23DN59auTn/603ScFABhQg2JRxDnnnLP0886FD41GI3vvvXd+8IMf5JFHHskf//jH/PSnP80FF1yQyy67LL/73e/y2GOP5Sc/+Ul23XXXNBqNFV5z8eLF+d73vjegOQBKNBQuzeUAgDLU0oM15bh8xo3tPgYABbrkquu7PFZiD9bS5zXkAIBW1NKDcgBA+WrpQTkAoHy19GDtOQ6YOrkNpwGAQmy5ZfKNbyR33538y78km2zSXBjRaCTXXpscckgycWJy9tnJggXtPi0AQL9r+6KI+++/P3/4wx9WWBCxySab5Gc/+1lmzJiRt73tbRkzZky3P7v22mvnLW95S373u9/l9NNPz8iRI1d4/pprrun38wPUoPZLczkAoBy19GAtOa6ZPbfdRwCgQNNn3VxFD9bS57XkAIBW1NKDcgBA+WrpQTkAoHy19GDtOQCA1Vh//eSTn0zuvDP5939PXvKSZQsjbr89+dCHkgkTki98IXnkkXafFgCg37R9UcTVV1+9wtfbb799fv/73+cNb3hDr17nwx/+cC699NIMHz48HR0daTQamTXLpQlAT9V+aS4HAJSjlh6sJQcAtKKWHpQDAMpXSw/KAQDlq6UH5QCA8tXSg7XnAAB6YOTI5KijkjlzkiuvTPbZZ9nCiL/9Lfn855sLI44+urlAAgCgMm1fFPG///u/SZJGo5F11lknV155ZV70ohe19Fr77bdfTjnllDQajSTJ448/nscff7yvjgpQvdovzeUAgHLU0oO15ACAVtTSg3IAQPlq6UE5AKB8tfSgHABQvlp6sPYcAEAvvPGNyS9/mfz+98k73pEMH95cGPHss8lZZyU77JC87W3Jtde2+6QAAH2m7Ysibr755iRJR0dHPv7xj+f//b//t0av95GPfCQvfelLl3792GOPrdHrAQw1tV+aywEA5ailB2vJAQCtqKUH5QCA8tXSg3IAQPlq6UE5AKB8tfRg7TkAgF6aPDn5/veT229PjjkmGTu2uTBi8eLkJz9JXv3qZO+9k8svb/dJAQDWWNsXRTzwwANJkhEjRuToo49e49cbNmxY3ve+9y392qIIgN6r/dK8phx77DyxDScCoHT7TJnU7iP02FDo85JyAEAraulBOQCgfLX0oBwAUL5aelAOAChfLT1YU47LZ9zY7mMAQB222CL5t39L7rkn+epXk802ay6MaDSSa65J3vKWZNKk5N//PVm4sN2nBQBoSdsXRTz44IPp6OjI7rvvnvHjx/fJa+67775LP1+8eHGfvCbAUFPTpXnNOQ6YOrkNpwGgdAfvu0sVPVhLn5eWAwBaUUsPygEA5aulB+UAgPLV0oNyAED5aunBWnJcM3tuu48AAHVZb73k4x9P7rgj+e53kx13XLYw4pZbkve/P9lyy+TLX078C6sBgMK0fVHEU089lSR5xSte0Wevufnmmy/9fMyYMX32ui972cty00039dnrAQx2tVya154DAFpRSw/KAQDlqKUH5QCA8tXSg3IAQPlq6UE5AKB8tfRgLTkAgH4wYkTyrnclV16ZvOpVzcc6OpoLIx58MDnppGTChOSYY5K77mrrUQEAeqrtiyIWLFiQJHnRi17UZ685evTopZ/35es2Go0+ey2AUtRyaV57DgBoRS09KAcAlKOWHpQDAMpXSw/KAQDlq6UH5QCA8tXSg7XkAAD62E03JUcdlWy7bXLddc0lEUnzz86FEU8/nZx+erLddslhhyVPPNHeMwMArMaIdh+gc1FER+dw1Qcef/zxJMk666yTDTbYoM9e98knn+yz1wIoybSZc5I0L8mX1/l15/ODXe05AKAVtfSgHABQjlp6UA4AKF8tPSgHAJSvlh6UAwDKV0sP1pIDAOgDv/lNcvLJyc9+1lwG0d2/SLpzWUSnRYuS//7v5qKIceMG7qwAAL3U9kURS5YsSUdHRx5++OE+e8377rsvSTJx4sQ+e82HHnpo6esCDEW1XJrXngMAWlFLD8oBAOWopQflAIDy1dKDcgBA+WrpwaGS44833z3gZwKAgTJU+ryUHABAi3760+SUU5Jrr21+3bkgonMhxPO/7nxsk02Sj340+eAHLYkAAAa9Ye0+QKfbb7+9z15r7ty5SZKXvOQlffaap59+ehrdbQwDGEKmzZyT718xq8vjh+8/JfvttWMbTtSamnJcPuPGdh8DgAJdctX1XR4rsQdr6fMacgBAK2rpQTkAoHy19KAcAFC+WnpwKOTYY+e++5dYATB07DNlUruP0GNDoc9LygEA9NDChcm55yY77JAcckhzSUSj0fzo6FhxKUTn153PT5qU/Md/JHfemXziE5ZEAABFGDSLIm68se/+h65//vOf09HRkZ122mmNX2v+/Pn5xje+ka985St9cDKA8tVyaV5Ljmtmz233EQAo0PRZN1fRg7X0eS05AKAVtfSgHABQvlp6UA4AKF8tPVh7jgOmTm7DaQAo3cH77lJFD9bS56XlAABW4cknk69+Ndlqq+SDH0zmzl35gohOnc/vvXdyxRXJn/6UvPvdyciRA316AICWjWj3ATrdfffdOeqoo9LR3eDVS7/97W+TJFdccUX++Mc/9upnG41GFi5cmHnz5uWee+7JzTffnIULF6bRaPTJ2QBqMG3mnCTNS/LldX7d+fxgV0sOAGhFLT0oBwCUr5YelAMAyldLD8oBAOWrpQdrzwEArailB+UAAAaF++5LTjstOffcZN685uKHZMXFEJ3LIpb/evjw5KCDkhNOSHbeeWDPDADQhwbNoohGo5H//M//7NPXmz59+hq/BgDdq+XSvJYcANCKWnpQDgAoXy09KAcAlK+WHpQDAMpXSw/WngMAWlFLD8oBALTNTTclJ5+cXHxx8txzq14Q0flYo5Gss05y1FHJsccmW2898OcGAOhjg2ZRREdHR58vZuiL1+v4/4dBSyMAuqrl0ryWHADQilp6UA4AKF8tPSgHAJSvlh6UAwDKV0sP1p4DAFpRSw/KAQAMqJkzmwsifvaz5tc9XRCx0UbJ0UcnH/5wssEGA3tmAIB+NGgWRTQajaVLGQbj6wEMpH2mTMplv7yx3cfokVouzWvJAQCtqKUH5QCA8tXSg3IAQPlq6UE5AKB8tfRg7TkAoBW19KAcAEC/+8lPklNOSa67rvl1dwsiOnV0LHt+222T445LjjwyGT16YM4KADCAhrX7AP3FkgigZAfvu0v222vHdh+jx6bNnJPvXzGry+OH7z9FDgAoRC09KAcAlK+WHpQDAMpXSw/KAQDlq6UHa8px+Ywy/gUwAAwul1x1fZfHSuzBWvq8hhwAULWFC5Nzz0223z5529uaSyIajeZHR0f3SyI6n99tt+SSS5Jbbkk+8AFLIgCAao1o9wE6dS52aHRu7BokLJwA2qW0zcS1bFiuJQcAtKKWHpQDAMpXSw/KAQDlq6UH5QCA8tXSg7XkuGb23BwwdXK7jwFAYabPujkLFi4qvgdr6fNacgBAdZ54IjnzzOT005MHH2wufujU+b/z61wW0anz6wMPTE44Idl994E9MwBAmwyaRRGNRiPDhw/PpEmTssUWW2Ts2LEZNWpUhg0bNuDnWLhwYZ555pk8+OCD+fOf/5x58+YN6BkAOpV22VzLpXktOQCgFbX0oBwAUL5aelAOAChfLT0oBwCUr5YerCUHALSilh6UAwDoc/fdl/zbvyXf+U4yb96yBRHdLYRYfmHEqFHJEUckxx2XbL/9wJ8bAKCNBs2iiE984hP51Kc+lbFjx7b7KCtYtGhRzjjjjJxwwglZsmRJu48DDEGlXTbXcmleSw4AaEUtPSgHAJSvlh6UAwDKV0sPygEA5aulB2vJAQCtqKUH5QAA+sSf/5ycfHJy8cXJokU9XxAxfnzyj/+YfOQjyYte1Pfn+va3k0MOSV7wgr5/bQCAPjIoFkUccsgh+cpXvtLuY3RrxIgROeaYY/Lwww/nq1/9aruPAwxRpV0213JpXksOAGhFLT0oBwCUr5YelAMAyldLDw6VHH+8+e4BPxMADJSh0uel5ACAVtTSg3IAAC379a+bCyKmTWt+vboFEZ3Pb7ll8k//lLznPcm66/bf+c48M9lrL4siAIBBbVi7D5AkRx99dLuPsFof/ehH07H8oAnQjy656voujx2+/5Tst9eObThNa6bNnJPvXzGry+NyAEA5aulBOQCgfLX0oBwAUL5aenAo5Nhj54ltOBEApdtnyqR2H6HHhkKfl5QDAFpRSw/KAQD0yiWXJLvtluyzT3NJRKOx4kKI5XUuiGg0kle+MrnoouT225OPfrR/l0Qkyfz5/fv6AAB9YES7D5Akr3jFK9p9hNV60YtelE022aTdxwCGiOmzbs6ChYuK30xcy4blWnIAQCtq6UE5AKB8tfSgHABQvlp6sPYcB0yd3I7jAFC4g/fdJQsWLiq+B2vp89JyAEAraulBOQCAHpk4sbnoIWkuf0i6Lofo1Pn8fvslJ5yQTJ3a/+frtHhxcv/9A/d+AAAtavuiiI6OjowdO7bdx+iR9ddfv91HAIaQWi6b5QCA8tXSg3IAQPlq6UE5AKB8tfRg7TkAoBW19KAcAFCOWnpQDgBgtW67rbkYotFYtiBi+c87vx45MjnssOT445OXvnTgzzljRvLsswP/vgAAvdT2RRETJkxo9xF6bLPNNstaa63V7mMAQ0gtl81yAED5aulBOQCgfLX0oBwAUL5aerD2HADQilp6UA4AKEctPSgHANAjncsiOj9Pml+vt17y/vcnH/tYstlm7Tnbk08mxx7bnvcGAOilti+KuOOOO9p9hB6bNm1au48ADEG1XDbLAQDlq6UH5QCA8tXSg3IAQPlq6cHacwBAK2rpQTkAoBy19KAcAMBqNRorLogYNix505uSD3yguSzi9tubHwNh4cLkmWeSBx5I/vd/k5/8JHnwwWXnAwAYxNq+KAKA1avlslkOAChfLT0oBwCUr5YelAMAyldLD9aeAwBaUUsPygEA5ailB+UAAFarc1lER0fz8//+7+ZHuzUa7T4BAECPDWv3AQDomWkz5+T7V8zq8vjh+0/Jfnvt2IYTtUYOAChfLT0oBwCUr5YelAMAyldLD9aU4/IZN7b7GAAU6JKrru/yWIk9WEuf15ADAFpRSw/KAQCsVOeCiKS5mGGwfHSeDQCgECPafQAAeq6WzcRyAED5aulBOQCgfLX0oBwAUL5aerCWHNfMnpsDpk5u9zEAKMz0WTdnwcJFxfdgLX1eSw4AaEUtPSgHANCtzqUMm2+ebL998oIXJKNGtWdJw8KFyTPPJA88kPz5z8nTTw/8GQAAWmRRBEBharlslgMAyldLD8oBAOWrpQflAIDy1dKDteQAgFbU0oNyAED5aulBOQCALnbaKTn33OQVr2j3SVa0aFFy1lnJsccmS5a0+zQAAKtlUQRAgWq5bJYDAMpXSw/KAQDlq6UH5QCA8tXSg7XkAIBW1NKDcgBA+WrpQTkAgKU22yz55S+TcePafZKuRoxIPvKR5G9/S770pXafBgBgtYa1+wAAtGbazDn5/hWzujx++P5Tst9eO7bhRK2RAwDKV0sPygEA5aulB+UAgPLV0oO15ACAVtTSg3IAQPlq6UE5AIAkyQknDM4lEcv70IfafQIAgB6xKAKgYLVcNssBAOWrpQflAIDy1dKDQyHHHjtPbMOJACjdPlMmtfsIPTYU+rykHADQilp6UA4AKF8tPSgHAJCpU9t9gtV70YuSTTdt9ykAAFbLogiAwtVy2SwHAJSvlh6UAwDKV0sP1p7jgKmT23AaAEp38L67VNGDtfR5aTkAoBW19KAcAFC+WnpQDgAYwjo6ki23bPcpemb99dt9AgCA1bIoAqACtVw2ywEA5aulB+UAgPLV0oO15wCAVtTSg3IAQDlq6UE5AKB8tfSgHAAwRE2YkIwZ0+5T9MxmmyVrrdXuUwAArNKIdh8AgL4xbeacJM3L5eV1ft35/GAnBwCUr5YelAMAyldLD9aeAwBaUUsPygEA5ailB+UAgPLV0oNyAMAQdMcd7T5Bz02b1u4TAACs1rB2HwCAvlPLZmI5AKB8tfSgHABQvlp6sPYcANCKWnpQDgAoRy09KAcAlK+WHpQDAAAAoHUWRQBUppbLZjkAoHy19KAcAFC+Wnqw9hwA0IpaelAOAChHLT0oBwCUr5YelAMAAACgNRZFAFSolstmOQCgfLX0oBwAUL5aerCmHJfPuLHdxwCgQJdcdX2Xx0rswVr6vIYcANCKWnpQDgAoXy09KAcAAABA741o9wEA6B/TZs5J0rxcXl7n153PD3ZyAED5aulBOQCgfLX0YC05rpk9NwdMndzuYwBQmOmzbs6ChYuK78Fa+ryWHADQilp6UA4AKF8tPSgHALBad92V/OlPyZ13Jvfdlzz9dPLMM8moUcm66yYbbphstVWy7bbJy16WjPA/nQQA6mbaAahYLZfNcgBA+WrpQTkAoHy19GAtOQCgFbX0oBwAUL5aelAOAChfLT0oBwCwggULkp/9LPnxj5Orr04eeKDnPzt6dLLTTsn++ycHH5xss02/HRMAoF2GtfsAAPSvaTPn5PtXzOry+OH7T8l+e+3YhhO1Rg4AKF8tPSgHAJSvlh6sJQcAtKKWHpQDAMpXSw/KAQDlq6UH5QAA8tBDyYknJptt1lzycNFFyf33J41Gzz+efTb57W+TT34ymTgxed3rkiuvbHcyAIA+ZVEEwBBQy2WzHABQvlp6UA4AKF8tPVhLDgBoRS09KAcAlK+WHpQDAMpXSw/KAQBD1MKFyZe/nGy7bfLVryaPPrps8UNHR+8/ll8cMWNGcuCByatfnVx7bbuTAgD0CYsiAIaIWi6b5QCA8tXSg0Mhxx47T2zDiQAo3T5TJrX7CD02FPq8pBwA0IpaelAOAChfLT0oBwCUr5YelAMAhpg//SnZaafkpJOSefO6LodIVlz8sLqPpPulEb/7XbL77slxxyXPPde+vAAAfcCiCIAhpJbLZjkAoHy19GDtOQ6YOrkNpwGgdAfvu0sVPVhLn5eWAwBaUUsPygEA5aulB+UAgPLV0oNyAMAQcdFFya67JjfdtOKCiKTr8odOyy+BeP7H83/u+a+5ZEny9a8nu+2W3H//gMUEAOhrFkUADDG1XDbLAQDlq6UHa88BAK2opQflAIBy1NKDcgBA+WrpQTkAoHy19KAcAFC5U05JjjgimT9/2UKHZNliiFUtg1iZVS2P6Py60UhuvLG5LOJPf+q/fAAA/WhEuw8AwMCbNnNOkubl8vI6v+58frCTAwDKV0sP1p4DAFpRSw/KAQDlqKUH5QCA8tXSg3IAQPlq6UE5AKBSX/ta8olPND9//vKH5y+MeL7Ro5N11knWWisZOTJ57rlkwYJk3rzm58/3/AUTnZ/fe2/y2tcmv/51ssMOa5YHAGCAWRQBMETVctksBwCUr5YerD0HALSilh6UAwDKUUsPygEA5aulB+UAgPLV0oNDJccfb757wM8EAG1xwQXJCSd0XRCRLFsOMXp0MnlysttuyaRJycSJyZZbJhtt1FwSsTJPPpn89a/Jbbclc+cm112XzJqV3HVX8/nnL4x4+OHkda9rft+mm/ZdRgCAfmZRBMAQNlQuzeUAgMGvlh6sPQcAtKKWHpQDAMpRSw/KAQDlq6UH5QCA8tXSg0Mhx9h1R7fjSAAwsG64IfnAB7o+3mg0F0Acemhy0EHN5Q2jW+jG9dZrfkycmLzpTcsev+mm5Mc/Tr7zneTee1dcGHH//ckhhyQzZyYj/E8uAYAyDGv3AQBor2kz5+T7V8zq8vjh+0/Jfnvt2IYTtUYOAChfLT1YU47LZ9zY7mMAUKBLrrq+y2Ml9mAtfV5DDgBoRS09KAcAlK+WHpQDAMpXSw/WnuOAqZPbcBoAGEALFiSHH57Mn79sUUOjkYwfn5x8cnLffcl//Eey//6tLYlYlRe/OPnMZ5I772y+x6abNt+78xzXXtt8HgCgEBZFAFD9pbkcAFCOWnqwlhzXzJ7b7iMAUKDps26uogdr6fNacgBAK2rpQTkAoHy19KAcAFC+Wnqw9hwAULUvfjGZO3fFJRHve19y++3J8ccn48b1/xmGDUve/e7k5pubSys6l0U0GsnXvpbMmdP/ZwAA6AMWRQCQpP5LczkAoBy19GAtOQCgFbX0oBwAUL5aelAOAChfLT0oBwCUr5YerD0HAFTpwQeT005btpRh9OjkJz9Jzj57YBZEPN+YMcmFFyZf+tKyZRGLFiWf+MTAnwUAoAUWRQCwVO2X5nIAQDlq6cFacgBAK2rpQTkAoHy19KAcAFC+WnpQDgAoXy09WHsOAKjOKackzz7b/HzttZNp05K3vKWtR0qSfOpTyec/31wW0WgkP/95cv317T4VAMBqWRQBwApqvzSXAwDKUUsP1pIDAFpRSw/KAQDlq6UH5QCA8tXSg3IAQPlq6cHacwBANZ57Ljn//GVfn3NOsuee7TvP8510UnLQQcu+Pvvs9p0FAKCHLIoAoIvaL81ryrHHzhPbcCIASrfPlEntPkKPDYU+LykHALSilh6UAwDKV0sPygEA5aulB+UAgPLV0oM15bh8xo3tPgYA9I9p05JHHkk6OpIDD0ze+c52n6irc85Jxo9PGo3kRz9KFixo94kAAFbJoggAulXTpXnNOQ6YOrkNpwGgdAfvu0sVPVhLn5eWAwBaUUsPygEA5aulB+UAgPLV0oNyAED5aunBWnJcM3tuu48AAP3jqquWff7lL7fvHKuywQbJCSc0P583L7nmmvaeBwBgNSyKAGClark0rz0HALSilh6UAwDKUUsPygEA5aulB+UAgPLV0oNyAED5aunBWnIAQJVmzkw6OpI99kgmTWr3aVbu/e9PRo1qfn711W09CgDA6lgUAcAq1XJpXnsOAGhFLT0oBwCUo5YelAMAyldLD8oBAOWrpQflAIDy1dKDteQAgKo0Gsncuc3P99+/vWdZnQ02SPbaq/n5nDntPQsAwGpYFAHAatVyaV57DgBoRS09KAcAlKOWHpQDAMpXSw/KAQDlq6UH5QCA8tXSg7XkAIBq3HtvsmBB8/MpU9p7lp7Yc8/mcotbb233SQAAVmlEuw8AQBmmzWxuQjx8/xX/Ut75defzg13tOQCgFbX0oBwAUI5aelAOAChfLT0oBwCUr5YeHCo5/njz3QN+JgAYKEOlz0vJAQBVeOKJZZ9vt137ztFT22/f/PPBB9t7DgCA1RjW7gMAUI5aNizXlOPyGTe2+xgAFOiSq67v8liJPVhLn9eQAwBaUUsPygEA5aulB+UAgPLV0oNDIcceO09sw4kAKN0+Uya1+wg9NhT6vKQcAFC8p59e9vn48e07R09tuGHzz+XPDQAwCFkUAUCv1HJpXkuOa2bPbfcRACjQ9Fk3V9GDtfR5LTkAoBW19KAcAFC+WnpQDgAoXy09WHuOA6ZObsNpACjdwfvuUkUP1tLnpeUAgKKNGrXs8xEj2neOnho+vPnnkiXtPQcAwGpYFAFAr9VyaV5LDgBoRS09KAcAlK+WHpQDAMpXSw/KAQDlq6UHa88BAK2opQflAAB6ZcyYZZ8/+WT7ztFTnWdcd932ngMAYDUsigCgJbVcmteSAwBaUUsPygEA5aulB+UAgPLV0oNyAED5aunB2nMAQCtq6UE5AIAe22yzZZ//3/+17xw9ddttzT/Hj2/vOQAAVsOiCABaVsuleS05AKAVtfSgHABQvlp6UA4AKF8tPSgHAJSvlh6sPQcAtKKWHpQDAOiRtddONtmk+fn117f3LD3xu981//x//6+95wAAWA2LIgAGoX2mTGr3EXqslkvzWnIAQCtq6UE5AKB8tfSgHABQvlp6UA4AKF8tPVh7DgBoRS09KAcA0CM775w0GskVV7T7JKv27LPJVVclHR3JpHL+tz0AwNBkUQTAIHTwvrsUddlcy6V5LTkAoBW19KAcAFC+WnpQDgAoXy09KAcAlK+WHqwpx+Uzbmz3MQAo0CVXdf23Z5fYg7X0eQ05AKAou+/e/PPnP0/uvru9Z1mV889Pnnii+fkee7T3LAAAq2FRBMAgVdplcy2X5rXkAIBW1NKDcgBA+WrpQTkAoHy19KAcAFC+WnqwlhzXzJ7b7iMAUKDps26uogdr6fNacgBAMQ48sPnn4sXJpz/d3rOszBNPJF/4QvPzYcOS17ymrccBAFgdiyIABrHSLptruTSvJQcAtKKWHpQDAMpXSw/KAQDlq6UH5QCA8tXSg7XkAIBW1NKDcgAAvbbDDsmOOyaNRvK97yWXXdbuE3X13vcmf/1r0tHRXBLxwhe2+0QAAKtkUQTAIFfaZXMtl+a15ACAVtTSg3IAQPlq6UE5AKB8tfSgHABQvlp6sJYcANCKWnpQDgCg144+uvlno5EccUQye3Z7z7O8Y49NLrlk2ddHHdW+swAA9JBFEQAFKO2yuZZL81pyAEAraulBOQCgfLX0oBwAUL5aelAOAChfLT1YSw4AaEUtPSgHANAr73pXsummSUdHMm9e8trXJj//eXvP9MwzyTvfmXzjG81zJclWWyXveEdbjwUA0BMWRQAMQpdcdX2Xx0q7bK7l0ryWHADQilp6UA4AKF8tPSgHAJSvlh4cCjn22HliG04EQOn2mTKp3UfosaHQ5yXlAIBW1NKDcgAAPTZqVPIv/5I0Gs2lDE89lfzd3yUf/3gyf/7An+fqq5OXvzy5+OLmmTrP9dnPJsP8zy4BgMHPxAIwCE2fdXMVl821XJrXkgMAWlFLD8oBAOWrpQflAIDy1dKDtec4YOrkNpwGgNIdvO8uVfRgLX1eWg4AaEUtPSgHANBjRx6Z7LXXsqUMS5YkX/taMnFict55yXPP9f8Zrr02OfDA5LWvTW6/vXmWpHmevfZK3vWu/j8DAEAfsCgCYJCq5bJZDgAoXy09KAcAlK+WHpQDAMpXSw/WngMAWlFLD8oBAOWopQflAAB67D//Mxk3rvl5R0dzUcO99ybvfW8yYULyyU8ms2f37XvedVfy9a8nu+6avPrVyZVXLltW0dHR/J7110/+4z/69n0BAPrRiHYfAICVmzZzTpLm5fLyOr/ufH6wkwMAyldLD8oBAOWrpQflAIDy1dKDtecAgFbU0oNyAEA5aulBOQCAHpkwIbn44mT//ZMlS5Ytamg0kgcfTE4+ufmx0UbJ7rsnu+2W7LBDst12ySabLFsy0Z1585qvcdttyS23JDfckFxzTXLHHcveo9Py7ztsWHOBxdZb909mAIB+YFEEwCBXy2WzHABQvlp6UA4AKF8tPSgHAJSvlh6sPQcAtKKWHpQDAMpRSw/KAQD0yBvekJx1VvKBDyx7bPnFDUny0EPJpZc2P5Y3cmQydmwyalTz8+eeSxYubC6JWLCg63stvxxi+ffpfK6jIznzzOTv/m5NUwEADCiLIgAKUMtlsxwAUL5aelAOAChfLT0oBwCUr5YerD0HALSilh6UAwDKUUsPygEA9Mh739v884MfXHGZw/MXOTzfwoXJI4/0/H2Wf73lNRrJsGHJN7+ZvP/9PX89AIBBYli7DwBAz0ybOSffv2JWl8cP339K9ttrxzacqDVyAED5aulBOQCgfLX0oBwAUL5aerCmHJfPuLHdxwCgQJdcdX2Xx0rswVr6vIYcANCKWnpQDgCgR9773uSHP0zGjFnx8c4FER0da/7R+XrLL51oNJJ11kkuuST50IcGJisAQB+zKAKgILVcNssBAOWrpQflAIDy1dKDcgBA+WrpwVpyXDN7bruPAECBps+6uYoerKXPa8kBAK2opQflAAB65KCDkt/9LnnpS1dcEJEsW/Cw/MeqdPf9jUbXpRE775zccEPy5jf3Xy4AgH5mUQRAYWq5bJYDAMpXSw/KAQDlq6UH5QCA8tXSg7XkAIBW1NKDcgBA+WrpQTkAgB6ZNKm5uOErX0nWWWfFhRHLL3lIVr4MYvklEsv/3PILIsaPT047LZk1K5k4ceDyAQD0A4siAApUy2WzHABQvlp6UA4AKF8tPSgHAJSvlh6sJQcAtKKWHpQDAMpXSw/KAQD0yPDhySc+kdx1V3Liic2lDssvgHj+8odVfXTq/Pkttmguobj99uRjH2u+FwBA4Ua0+wAAtGbazDlJmpfLy+v8uvP5wU4OAChfLT0oBwCUr5YeHCo5/njz3QN+JgAYKEOlz0vJAQCtqKUH5QCA8tXSg3IAAD22wQbJF7+YfOYzyc9+lvzoR8nVVyf33dfz1+joSCZOTF7/+uStb0323jsZ5t+5DQDUxaIIgILVctksBwCUr5YelAMAyldLDw6FHGPXHd2OIwFQuH2mTMplv7yx3cfokaHQ58s/DwA1qqUH5QCA8tXSg3IAAL0ycmRy4IHNjyS5667kppuS229P7r8/mTcveeaZZMSIZJ11kvXXTyZMSLbeOnnFK5Jx49p5egCAfmdRBEDharlslgMAyldLD8oBAOWrpQdrz3HA1MntOA4AhTt4312yYOGi4nuwlj4vLQcAtKKWHpQDAMpXSw/KAQC0bMstmx8AACRJhrX7AACsuWkz5+T7V8zq8vjh+0/Jfnvt2IYTtUYOAChfLT0oBwCUr5YerD0HALSilh6UAwDKUUsPygEA5aulB+UAAAAAWHMWRQBUopbLZjkAoHy19KAcAFC+Wnqw9hwA0IpaelAOAChHLT0oBwCUr5YelAMAAABgzVgUAVCRWi6b5QCA8tXSg3IAQPlq6cHacwBAK2rpQTkAoBy19KAcAFC+WnpQDgAAAIDWjWj3AQDoW9NmzknSvFxeXufXnc8PdnIAQPlq6UE5AKB8tfRg7TkAoBW19KAcAFCOWnpQDgAoXy09KAcA0GN33ZX86U/JnXcm992XPP108swzyahRybrrJhtumGy1VbLttsnLXpaM8D+dBADqZtoBqFAtl81yAED5aulBOQCgfLX0YE05xq47OgdMndzuowBQmEuuuj4H77vLCo+V2INJHX2elJ8DAFpRSw/KAQDlq6UH5QAAurVgQfKznyU//nFy9dXJAw/0/GdHj0522inZf//k4IOTbbbpt2MCALTLsHYfAID+MW3mnHz/illdHj98/ynZb68d23Ci1sgBAOWrpQflAIDy1dKDteS4Zvbcdh8BgAJNn3VzFT1YS5/XkgMAWlFLD8oBAOWrpQflAACWeuih5MQTk802ay55uOii5P77k0aj5x/PPpv89rfJJz+ZTJyYvO51yZVXtjsZAECfsigCoGK1XDbLAQDlq6UH5QCA8tXSg7XkAIBW1NKDcgBA+WrpQTkAoHy19KAcADDELVyYfPnLybbbJl/9avLoo8sWP3R09P5j+cURM2YkBx6YvPrVybXXtjspAECfsCgCoHK1XDbLAQDlq6UH5QCA8tXSg7XkAIBW1NKDcgBA+WrpQTkAoHy19KAcADBE/elPyU47JSedlMyb13U5RLLi4ofVfSTdL4343e+S3XdPjjsuee659uUFAOgDFkUADAG1XDbLAQDlq6UH5QCA8tXSg7XkAIBW1NKDcgBA+WrpQTkAoHy19KAcADDEXHRRsuuuyU03rbggIum6/KHT8ksgnv/x/J97/msuWZJ8/evJbrsl998/YDEBAPqaRREAQ0Qtl81yAED5aunBoZBjj50ntuFEAJRunymT2n2EHhsKfV5SDgBoRS09KAcAlK+WHpQDAMpXSw/KAQBDxCmnJEcckcyfv2yhQ7JsMcSqlkGszKqWR3R+3WgkN97YXBbxpz/1Xz4AgH40ot0HAGDgTJs5J0nzcnl5nV93Pj/YyQEA5aulB2vPccDUye04DgCFO3jfXbJg4aLie7CWPi8tBwC0opYelAMAyldLD8oBAOWrpQflAIDKfe1rySc+0fz8+csfnr8w4vlGj07WWSdZa61k5MjkueeSBQuSefOanz/f8xdMdH5+773Ja1+b/PrXyQ47rFkeAIABZlEEwBBTy2WzHABQvlp6sPYcANCKWnpQDgAoRy09KAcAlK+WHpQDAMpXSw/KAQCVuuCC5IQTui6ISJYthxg9Opk8Odltt2TSpGTixGTLLZONNmouiViZJ59M/vrX5Lbbkrlzk+uuS2bNSu66q/n88xdGPPxw8rrXNb9v0037LiMAQD+zKAJgCKrlslkOAChfLT1Yew4AaEUtPSgHAJSjlh6UAwDKV0sPygEA5aulB+UAgMrccEPygQ90fbzRaC6AOPTQ5KCDmssbRo/u/euvt17zY+LE5E1vWvb4TTclP/5x8p3vJPfeu+LCiPvvTw45JJk5Mxnhf3IJAJRhWLsPAEB7TJs5J9+/YlaXxw/ff0r222vHNpyoNXIAQPlq6cHacwBAK2rpQTkAoBy19KAcAFC+WnpQDgAoXy09KAcAVGLBguTww5P585ctamg0kvHjk5NPTu67L/mP/0j237+1JRGr8uIXJ5/5THLnnc332HTT5nt3nuPaa5vPAwAUwqIIgCGslstmOQCgfLX0YO05AKAVtfSgHABQjlp6UA4AKF8tPSgHAJSvlh4cCjn22HliG04EAAPoi19M5s5dcUnE+96X3H57cvzxybhx/X+GYcOSd787ufnm5tKKzmURjUbyta8lc+b0/xkAAPqARREAQ9xQuDSXAwDKUEsP1pTj8hk3tvsYABTokquu7/JYiT1YS5/XkAMAWlFLD8oBAOWrpQflAIDy1dKDtec4YOrkNpwGAAbIgw8mp522bCnD6NHJT36SnH32wCyIeL4xY5ILL0y+9KVlyyIWLUo+8YmBPwsAQAssigCg+ktzOQCgHLX0YC05rpk9t91HAKBA02fdXEUP1tLnteQAgFbU0oNyAED5aulBOQCgfLX0YO05AKBap5ySPPts8/O1106mTUve8pa2HilJ8qlPJZ//fHNZRKOR/PznyfVd/0UpAACDjUURACSp/9JcDgAoRy09WEsOAGhFLT0oBwCUr5YelAMAyldLD8oBAOWrpQdrzwEA1XnuueT885d9fc45yZ57tu88z3fSSclBBy37+uyz23cWAIAesigCgKVqvzSXAwDKUUsP1pIDAFpRSw/KAQDlq6UH5QCA8tXSg3IAQPlq6cHacwBAVaZNSx55JOnoSA48MHnnO9t9oq7OOScZPz5pNJIf/ShZsKDdJwIAWCWLIgBYQe2X5nIAQDlq6cFacgBAK2rpQTkAoHy19KAcAFC+WnpQDgAoXy09WHsOAKjGVVct+/zLX27fOVZlgw2SE05ofj5vXnLNNe09DwDAalgUAUAXtV+a15Rjj50ntuFEAJRunymT2n2EHhsKfV5SDgBoRS09KAcAlK+WHpQDAMpXSw/KAQDlq6UHa8px+Ywb230MAOgfM2cmHR3JHnskkwbx77G+//3JqFHNz6++uq1HAQBYHYsiAOhWTZfmNec4YOrkNpwGgNIdvO8uVfRgLX1eWg4AaEUtPSgHAJSvlh6UAwDKV0sPygEA5aulB2vJcc3sue0+AgD0vUYjmfv/d9z++7f3LKuzwQbJXns1P58zp71nAQBYDYsiAFipWi7Na88BAK2opQflAIBy1NKDcgBA+WrpQTkAoHy19KAcAFC+WnqwlhwAUJ17700WLGh+PmVKe8/SE3vu2Vxuceut7T4JAMAqWRQBwCrVcmleew4AaEUtPSgHAJSjlh6UAwDKV0sPygEA5aulB+UAgPLV0oO15ACAqjzxxLLPt9uufefoqe23b/754IPtPQcAwGpYFAHAatVyaV57DgBoRS09KAcAlKOWHpQDAMpXSw/KAQDlq6UH5QCA8tXSg7XkAIBqPP30ss/Hj2/fOXpqww2bfy5/bgCAQWhEuw8AQBmmzZyTpHlJvrzOrzufH+xqzwEArailB+UAgHLU0oNyAED5aulBOQCgfLX04FDJ8ceb7x7wMwHAQBkqfV5KDgCowqhRyz4fUcD/nHH48OafS5a09xwAAKsxrN0HAKActWxYrinH5TNubPcxACjQJVdd3+WxEnuwlj6vIQcAtKKWHpQDAMpXSw/KAQDlq6UHh0KOPXae2IYTAVC6faZMavcRemwo9HlJOQCgeGPGLPv8ySfbd46e6jzjuuu29xwAAKthUQQAvVLLpXktOa6ZPbfdRwCgQNNn3VxFD9bS57XkAIBW1NKDcgBA+WrpQTkAoHy19GDtOQ6YOrkNpwGgdAfvu0sVPVhLn5eWAwCKttlmyz7/v/9r3zl66rbbmn+OH9/ecwAArIZFEQD0Wi2X5rXkAIBW1NKDcgBA+WrpQTkAoHy19KAcAFC+Wnqw9hwA0IpaelAOAKBX1l472WST5ufXX9/es/TE737X/PP//b/2ngMAYDUsigCgJbVcmteSAwBaUUsPygEA5aulB+UAgPLV0oNyAED5aunB2nMAQCtq6UE5AIBe2XnnpNFIrrii3SdZtWefTa66KunoSCZNavdpAABWyaIIAFpWy6V5LTkAoBW19KAcAFC+WnpQDgAoXy09KAcAlK+WHqw9BwC0opYelAMA6LHdd2/++fOfJ3ff3d6zrMr55ydPPNH8fI892nsWAIDVsCgCYBDaZ0o5WwdruTSvJQcAtKKWHpQDAMpXSw/KAQDlq6UH5QCA8tXSg7XnAIBW1NKDcgAAPXLggc0/Fy9OPv3p9p5lZZ54IvnCF5qfDxuWvOY1bT0OAMDqWBQBMAgdvO8uRV0213JpXksOAGhFLT0oBwCUr5YelAMAyldLD8oBAOWrpQdrynH5jBvbfQwACnTJVdd3eazEHqylz2vIAQBF2WGHZMcdk0Yj+d73kssua/eJunrve5O//jXp6GguiXjhC9t9IgCAVbIoAmCQKu2yuZZL81pyAEAraulBOQCgfLX0oBwAUL5aelAOAChfLT1YS45rZs9t9xEAKND0WTdX0YO19HktOQCgKEcf3fyz0UiOOCKZPbu951nesccml1yy7OujjmrfWQAAesiiCIBBrLTL5louzWvJAQCtqKUH5QCA8tXSg3IAQPlq6UE5AKB8tfRgLTkAoBW19KAcAEBL3vWuZNNNk46OZN685LWvTX7+8/ae6Zlnkne+M/nGN5rnSpKttkre8Y62HgsAoCcsigAY5Eq7bK7l0ryWHADQilp6UA4AKF8tPSgHAJSvlh6UAwDKV0sP1pIDAFpRSw/KAQD02qhRyb/8S9JoNJcyPPVU8nd/l3z848n8+QN/nquvTl7+8uTii5tn6jzXZz+bDPM/uwQABj8TC0ABSrtsruXSvJYcANCKWnpQDgAoXy09KAcAlK+WHpQDAMpXSw/WkgMAWlFLD8oBAPTakUcme+21bCnDkiXJ176WTJyYnHde8txz/X+Ga69NDjwwee1rk9tvb54laZ5nr72Sd72r/88AANAHLIoAGIQuuer6Lo+Vdtlcy6V5LTkAoBW19KAcAFC+WnpQDgAoXy09OBRy7LHzxDacCIDS7TNlUruP0GNDoc9LygEArailB+UAAHrtP/8zGTeu+XlHR3NRw733Ju99bzJhQvLJTyazZ/fte951V/L1rye77pq8+tXJlVcuW1bR0dH8nvXXT/7jP/r2fQEA+tGIdh8AgK6mz7o5CxYuyuH7T1nh8c6vp82c045j9VrnOeUAgHLV0oNyAED5aulBOQCgfLX0YO05Dpg6uR3HAaBwB++7SxYsXFR8D9bS56XlAIBW1NKDcgAAvTJhQnLxxcn++ydLlixb1NBoJA8+mJx8cvNjo42S3XdPdtst2WGHZLvtkk02WbZkojvz5jVf47bbkltuSW64IbnmmuSOO5a9R6fl33fYsOYCi6237p/MAAD9wKIIgEGqlstmOQCgfLX0oBwAUL5aelAOAChfLT1Yew4AaEUtPSgHAJSjlh6UAwDolTe8ITnrrOQDH1j22PKLG5LkoYeSSy9tfixv5Mhk7Nhk1Kjm5889lyxc2FwSsWBB1/dafjnE8u/T+VxHR3Lmmcnf/d2apgIAGFAWRQAMYrVcNssBAOWrpQflAIDy1dKDcgBA+WrpwdpzAEAraulBOQCgHLX0oBwAQK+8973NPz/4wRWXOTx/kcPzLVyYPPJIz99n+ddbXqORDBuWfPObyfvf3/PXAwAYJCyKABjkarlslgMAyldLD8oBAOWrpQflAIDy1dKDtecAgFbU0oNyAEA5aulBOQCAXnnve5MNNkiOOiqZN2/Z441Gc8HDypY89FbnwonO12s0knXWSb73veTNb+6b9wAAGGDD2n0AAFZv2sw5+f4Vs7o8fvj+U7LfXju24UStkQMAyldLD8oBAOWrpQflAIDy1dKDtecAgFbU0oNyAEA5aulBOQCAXjnooOR3v0te+tLuFzo8/2NVuvv+5y+daDSSnXdObrjBkggAoGgWRQAUopbLZjkAoHy19KAcAFC+WnpQDgAoXy09WFOOy2fc2O5jAFCgS666vstjJfZgLX1eQw4AaEUtPSgHANArkyY1Fzd85SvJOuusuDBi+SUPycqXQSy/RGL5n1t+QcT48clppyWzZiUTJw5cPgCAfmBRBEBBarlslgMAyldLD8oBAOWrpQflAIDy1dKDteS4Zvbcdh8BgAJNn3VzFT1YS5/XkgMAWlFLD8oBAPTK8OHJJz6R3HVXcuKJzaUOyy+AeP7yh1V9dOr8+S22aC6huP325GMfa74XAEDhLIoAKEwtl81yAED5aulBOQCgfLX0oBwAUL5aerCWHADQilp6UA4AKF8tPSgHANBrG2yQfPGLyQMPJJdemrzzncmmmy5b+tCTjySZODE5+ujkV79K/u//mksoxo1razQAgL40ot0HAKD3ps2ck6R5uby8zq87nx/s5ACA8tXSg3IAQPlq6UE5AKB8tfRgLTkAoBW19KAcAFC+WnpQDgCgJSNHJgce2PxIkrvuSm66Kbn99uT++5N585JnnklGjEjWWSdZf/1kwoRk662TV7zCUggAoHoWRQAUqpbLZjkAoHy19KAcAFC+WnpwqOT44813D/iZAGCgDJU+LyUHALSilh6UAwDKV0sPygEArLEtt2x+AACQJBnW7gMA0LppM+fk+1fM6vL44ftPyX577diGE7VGDgAoXy09KAcAlK+WHhwKOfbYeWIbTgRA6faZMqndR+ixodDnJeUAgFbU0oNyAED5aulBOQAAAAD6jkURAIWr5bJZDgAoXy09KAcAlK+WHqw9xwFTJ7fhNACU7uB9d6miB2vp89JyAEAraulBOQCgfLX0oBwAAAAAfcOiCIAK1HLZLAcAlK+WHpQDAMpXSw/WngMAWlFLD8oBAOWopQflAIDy1dKDcgAAAACsOYsiACpRy2WzHABQvlp6UA4AKF8tPVh7DgBoRS09KAcAlKOWHpQDAMpXSw/KAQAAALBmLIoAqEgtl81yAED5aulBOQCgfLX0YO05AKAVtfSgHABQjlp6UA4AKF8tPSgHAAAAQOssigCoTC2XzXIAQPlq6UE5AKB8tfRg7TkAoBW19KAcAFCOWnpQDgAoXy09KAcAAABAayyKAKhQLZfNcgBA+WrpQTkAoHy19GBNOS6fcWO7jwFAgS656vouj5XYg7X0eQ05AKAVtfSgHABQvlp6UA4AAACA3rMoAqBStVw2ywEA5aulB+UAgPLV0oO15Lhm9tx2HwGAAk2fdXMVPVhLn9eSAwBaUUsPygEA5aulB+UAAAAA6B2LIgAqVstlsxwAUL5aelAOAChfLT1YSw4AaEUtPSgHAJSvlh6UAwDKV0sPygEAAADQcxZFAFSulstmOQCgfLX0oBwAUL5aerCWHADQilp6UA4AKF8tPSgHAJSvlh6UAwCGoCVLkpNPTubPH/j3/ulPkxtvHPj3BQDoAxZFAAwBtVw2ywEA5aulB+UAgPLV0oO15ACAVtTSg3IAQPlq6UE5AKB8tfSgHAAwhCxenLzjHcknP5m86U3JM88M3Hv/4AfJoYcmr3tdct11A/e+AAB9xKIIgCGilstmOQCgfLX04FDIscfOE9twIgBKt8+USe0+Qo8NhT4vKQcAtKKWHpQDAMpXSw/KAQDlq6UH5QCAIeC555KDD04uuSRpNJJf/zrZb79k3rz+f+/vfS854ojmoorHHkte//rkt7/t//cFAOhDFkUADCG1XDbLAQDlq6UHa89xwNTJbTgNAKU7eN9dqujBWvq8tBwA0IpaelAOAChfLT0oBwCUr5YelAMAKjZ/fvLmNyeXX95cEtHR0fzzt79N9t03efLJ/nvv889P3v3uZNGi5vt2dCRPPdVcUjF9ev+9LwBAH7MoAmCIqeWyWQ4AKF8tPVh7DgBoRS09KAcAlKOWHpQDAMpXSw/KAQDlq6UH5QCASt1zT3LDDc3PO5dEdP557bXJ616XPP5437/vv/978p73JIsXN9+vU0dH8vTTyS9/2ffvCQDQTyyKABiCarlslgMAyldLD9aeAwBaUUsPygEA5ailB+UAgPLV0oNyAED5aulBOQCgQtttl0yfnrzoRc2vn78sYvbs5LWvTR59tO/e8+yzkw98IFmyZMUlEY1G8+PjH0++/OW+ez8AgH5mUQTAEFXLZbMcAFC+Wnqw9hwA0IpaelAOAChHLT0oBwCUr5YelAMAyldLD8oBABV68YuTGTOSjTdufr38sogkufHGZOrU5G9/W/P3+ta3kg99qPslEUnyqU8lX/3qmr8PAMAAsigCYAir5bJZDgAoXy09WHsOAGhFLT0oBwCUo5YelAMAyldLD8oBAOWrpQeHQo49dp7YhhMBQBttv31y9dXJpps2v37+sog5c5LXvCZ58MHW3+Mb30g++tEVXzdZtiTis59NvvSl1l8fAKBNLIoAGOKGwqW5HABQhlp6sKYcl8+4sd3HAKBAl1x1fZfHSuzBWvq8hhwA0IpaelAOAChfLT0oBwCUr5YerD3HAVMnt+E0ANBm223XXBax+ebNr5+/LOKmm5rLIv76196/9qmnJsceu/IlEV/4QnNRBABAgSyKAKD6S3M5AKActfRgLTmumT233UcAoEDTZ91cRQ/W0ue15ACAVtTSg3IAQPlq6UE5AKB8tfRg7TkAYEjaZpvk179OJkxofv38ZRG33JLstVdy3309f82vfjX5xCeWvU7ncojOP7/yleTTn+67DAAAA8yiCACS1H9pLgcAlKOWHqwlBwC0opYelAMAyldLD8oBAOWrpQflAIDy1dKDtecAgCFpq62ayyK22qr59fLLIjo6kttuay6LuPvu1b/WF7+YnHjiiksill8WccopzSUSAAAFsygCgKVqvzSXAwDKUUsP1pIDAFpRSw/KAQDlq6UH5QCA8tXSg3IAQPlq6cHacwDAkDRhQnNZxDbbNL9efrlDR0dyxx3J3ns3/1yZz32u+bGyJRGnnZYcd1x/pgAAGBAWRQCwgtovzeUAgHLU0oO15ACAVtTSg3IAQPlq6UE5AKB8tfSgHABQvlp6sPYcADAkbb55cvXVyXbbdV3y0NGR3HVXc1nEbbd1/dlPfzr54heX/Vznz3R+fcYZycc+NmBRAAD6k0URAHRR+6V5TTn22HliG04EQOn2mTKp3UfosaHQ5yXlAIBW1NKDcgBA+WrpQTkAoHy19KAcAFC+WnqwphyXz7ix3ccAgMFh002byyImTep+WcS99yaveU1yyy3LfuYTn0i+8pUVl0Qky74+66zkQx8ayBQAAP3KoggAulXTpXnNOQ6YOrkNpwGgdAfvu0sVPVhLn5eWAwBaUUsPygEA5aulB+UAgPLV0oNyAED5aunBWnJcM3tuu48AAIPHxhs3l0W85CXdL4u4//7msog//Sk57rjklFNWviTi3HOT97+/HSkAAPrNiHYfAIDBa9rMOUmal+TL6/y68/nBrvYcANCKWnpQDgAoRy09KAcAlK+WHpQDAMpXSw/KAQDlq6UHa8kBACxno42ayyJe+9rkf/932bKIjo7mx4MPJrvskixc2Pz+5y+JGDYs+Y//SN71rrYcHwCgPw1r9wEAGNxq2bBcew4AaEUtPSgHAJSjlh6UAwDKV0sPygEA5aulB+UAgPLV0oO15AAAlrPhhsmMGcnkycuWRDQazec6OpIFC5Y93qnRSIYPT/7zPy2JAACqZVEEAKtVy6V57TkAoBW19KAcAFCOWnpQDgAoXy09KAcAlK+WHpQDAMpXSw/WkgMAWM748cn06cnOO3e/LOL5SyJGjEguvDA5/PD2nBcAYABYFAFAj9RyaV57DgBoRS09KAcAlKOWHpQDAMpXSw/KAQDlq6UH5QCA8tXSg7XkAACWM25c8otfJLvt1nVZRKdGIxk5Mrn44uTtb2/POQEABohFEQD0WC2X5jXluHzGje0+BgAFuuSq67s8VmIP1tLnNeQAgFbU0oNyAED5aulBOQCgfLX04FDIscfOE9twIgBKt8+USe0+Qo8NhT4vKQcAsJxx45Jttlnxsecvixg7Ntl224E7EwBAm1gUAUCv1HJpXkuOa2bPbfcRACjQ9Fk3V9GDtfR5LTkAoBW19KAcAFC+WnpQDgAoXy09WHuOA6ZObsNpACjdwfvuUkUP1tLnpeUAANJcCPHOdybf/37S0bHigojOzzs6kkcfTfbZJ7nRv5gTAKibRREA9Fotl+a15ACAVtTSg3IAQPlq6UE5AKB8tfSgHABQvlp6sPYcANCKWnpQDgBgwC1Zkhx2WHLRRc2lEMsvhuj8WH5xxKOPJq99bTJ7dnvOCwAwACyKAKAltVya15IDAFpRSw/KAQDlq6UH5QCA8tXSg3IAQPlq6cHacwBAK2rpQTkAgAGzeHHy9rcnP/zhsqUQybI/OxdHdC6L6Pyexx9PXv/65Npr23Z0AID+ZFEEAC2r5dK8lhwA0IpaelAOAChfLT0oBwCUr5YelAMAyldLD9aeAwBaUUsPygEA9LtFi5JDDkkuuWTZYohk2VKIUaOSH/0oeeMbV1wW0fk9TzyR7Ltv8j//057zAwD0I4siAAahfaZMavcReqyWS/NacgBAK2rpQTkAoHy19KAcAFC+WnpQDgAoXy09WHsOAGhFLT0oBwDQb557LnnrW5PLLltxSUTSXAYxenTy058mBx+cXHppcsAB3S+LeOqpZL/9kpkzBzwCAEB/sigCYBA6eN9dirpsruXSvJYcANCKWnpQDgAoXy09KAcAlK+WHpQDAMpXSw/WlOPyGTe2+xgAFOiSq67v8liJPVhLn9eQAwCqtmBBcuCByZVXdr8kYp11kiuuSN7whuZjI0cml1zSXCzR3bKIefOSN70pmTFjYHMAAPQjiyIABqnSLptruTSvJQcAtKKWHpQDAMpXSw/KAQDlq6UH5QCA8tXSg7XkuGb23HYfAYACTZ91cxU9WEuf15IDAKo0f35ywAHJz3/e/ZKIMWOS//7vZJ99VnxuxIjkhz9M3va27pdFPPNMsv/+yS9/OTA5AAD6mUURAINYaZfNtVya15IDAFpRSw/KAQDlq6UH5QCA8tXSg3IAQPlq6cFacgBAK2rpQTkAgH7zzDPJm97UXObQ3ZKI9dZLpk1L9tqr+58fPjy56KLksMO6Xxbx7LPJgQc2XwMAoHAWRQAMcqVdNtdyaV5LDgBoRS09KAcAlK+WHpQDAMpXSw/KAQDlq6UHa8kBAK2opQflAAD63Lx5yRvfmFx9dfdLItZfP7nqquTVr1716wwbllx4YXLEEd0vi5g/P3nrW5MrruiPFAAAA8aiCIAClHbZXMuleS05AKAVtfSgHABQvlp6UA4AKF8tPSgHAJSvlh6sJQcAtKKWHpQDAOgzTz2V7Ldf8pvfdL8kYoMNkl/+Mtl11569XkdH8t3vJv/wD90vi1iwIDnkkOTSS/syBQDAgLIoAmAQuuSq67s8Vtplcy2X5rXkAIBW1NKDcgBA+WrpQTkAoHy19OBQyLHHzhPbcCIASrfPlEntPkKPDYU+LykHALSilh6UAwBYY088key7b/I//9P9koiNNkqmT09e+crevW5HR/Kd7yTvf3/3yyIWLkze/vbkxz/umxwAAAPMogiAQWj6rJuruGyu5dK8lhwA0IpaelAOAChfLT0oBwCUr5YerD3HAVMnt+E0AJTu4H13qaIHa+nz0nIAQCtq6UE5AICWPfZY8vrXJ9de2/2SiI0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      "text/plain": [
       "<Figure size 4200x1050 with 1 Axes>"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig.savefig(\"end_to_end_mem.pdf\", bbox_inches=\"tight\", dpi=1000)\n",
    "fig"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
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