paper_note/lynx/end_to_end_mem.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 14,
   "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": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 4200x1400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(14, 14 / 3), ncols=2, nrows=2, constrained_layout=True, dpi=300\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels_name_a = [\n",
    "    \"ModelA\\n8DP\",\n",
    "    \"ModelA\\n8TP\",\n",
    "    \"ModelB\\n8TP\",\n",
    "    \"ModelC\\n8DP\",\n",
    "    \"ModelC\\n8TP\",\n",
    "    \"ModelD\\n8TP\",\n",
    "]\n",
    "labels_name_b = [\n",
    "    \"ModelA\\n16DP\",\n",
    "    \"ModelA\\n16TP\",\n",
    "    \"ModelB\\n16TP\",\n",
    "    \"ModelC\\n16DP\",\n",
    "    \"ModelC\\n16TP\",\n",
    "    \"ModelD\\n16TP\",\n",
    "]\n",
    "labels_name_c = [\n",
    "    \"ModelA\\n2DP$\\\\times$4TP\",\n",
    "    \"ModelA\\n4DP$\\\\times$2TP\",\n",
    "    \"ModelB\\n4DP$\\\\times$2TP\",\n",
    "    \"ModelC\\n2DP$\\\\times$4TP\",\n",
    "    \"ModelC\\n4DP$\\\\times$2TP\",\n",
    "    \"ModelD\\n2DP$\\\\times$4TP\",\n",
    "]\n",
    "labels_name_d = [\n",
    "    \"ModelA\\n15DP\",\n",
    "    \"ModelA\\n15TP\",\n",
    "    \"ModelB\\n15TP\",\n",
    "    \"ModelC\\n15DP\",\n",
    "    \"ModelC\\n15TP\",\n",
    "    \"ModelD\\n15TP\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# peak memory\n",
    "data_a = {\n",
    "    labels_name_a[0]: [79, 40.95, 50.12],  # 22.64\n",
    "    labels_name_a[1]: [47, 44.24, 41.74],  # 22.64\n",
    "    labels_name_a[2]: [65.66, 59.47, 69.75],  # 37\n",
    "    labels_name_a[3]: [0, 0, 0],  # 37\n",
    "    labels_name_a[4]: [0, 0, 0],  # 22.64\n",
    "    labels_name_a[5]: [0, 0, 0],  # 22.64\n",
    "}\n",
    "data_b = {\n",
    "    labels_name_b[0]: [0, 0, 0],  # 37\n",
    "    labels_name_b[1]: [0, 0, 0],  # 22.64\n",
    "    labels_name_b[2]: [0, 0, 0],  # 22.64\n",
    "    labels_name_b[3]: [0, 0, 0],  # 37\n",
    "    labels_name_b[4]: [0, 0, 0],  # 22.64\n",
    "    labels_name_b[5]: [0, 0, 0],  # 22.64\n",
    "}\n",
    "data_c = {\n",
    "    labels_name_c[0]: [50, 40.94, 54.22],  # 2DP 4TP\n",
    "    labels_name_c[1]: [60, 40.97, 55.75],  # 4DP 2TP\n",
    "    labels_name_c[2]: [-1, 59.32, 64.60],  #\n",
    "    labels_name_c[3]: [0, 0, 0],  # 37\n",
    "    labels_name_c[4]: [0, 0, 0],  # 22.64\n",
    "    labels_name_c[5]: [0, 0, 0],  # 22.64\n",
    "}\n",
    "data_d = {\n",
    "    labels_name_d[0]: [0, 0, 0],  # 37\n",
    "    labels_name_d[1]: [0, 0, 0],  # 22.64\n",
    "    labels_name_d[2]: [0, 0, 0],  # 22.64\n",
    "    labels_name_d[3]: [0, 0, 0],  # 37\n",
    "    labels_name_d[4]: [0, 0, 0],  # 22.64\n",
    "    labels_name_d[5]: [0, 0, 0],  # 22.64\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "legend_labels = [\"Megatron-LM\", \"XLA\", \"DLRover-Lynx\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '(a) Single-node, single parallel')"
      ]
     },
     "execution_count": 20,
     "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",
    "        ax[0][0].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[0][0].set_xticks(list(group_centers.values()))\n",
    "ax[0][0].set_xticklabels(list(data_a.keys()))\n",
    "\n",
    "ax[0][0].set_ylim(0, 85)\n",
    "ax[0][0].set_yticks([0, 40, 80])\n",
    "ax[0][0].set_yticklabels([\"0\", \"40\", \"80\"], rotation=90, ha=\"center\", va=\"center\")\n",
    "\n",
    "ax[0][0].tick_params(axis=\"x\", bottom=False, labelsize=g_label_fontsize, pad=1)\n",
    "ax[0][0].tick_params(axis=\"y\", left=True, labelsize=g_label_fontsize, pad=5)\n",
    "\n",
    "ax[0][0].set_ylabel(\"Peak Memory (GB)\", fontsize=g_label_fontsize)\n",
    "ax[0][0].set_title(\"(a) Single-node, single parallel\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '(b) Two-node, single parallel')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for idx, (x_label, y_data) in enumerate(data_b.items()):\n",
    "    positions = group_positions[idx]\n",
    "    for i, (pos, value, color, edgecolor, hatch) in enumerate(\n",
    "        zip(\n",
    "            positions,\n",
    "            y_data,\n",
    "            colors,\n",
    "            edgecolors,\n",
    "            hatches,\n",
    "        )\n",
    "    ):\n",
    "        ax[0][1].bar(\n",
    "            pos,\n",
    "            value,\n",
    "            width=bar_width,\n",
    "            color=color,\n",
    "            hatch=hatch,\n",
    "            edgecolor=edgecolor,\n",
    "        )\n",
    "\n",
    "ax[0][1].set_xticks(list(group_centers.values()))\n",
    "ax[0][1].set_xticklabels(list(data_b.keys()))\n",
    "\n",
    "ax[0][1].set_ylim(0, 85)\n",
    "ax[0][1].set_yticks([0, 40, 80])\n",
    "ax[0][1].set_yticklabels([\"0\", \"40\", \"80\"], rotation=90, ha=\"center\", va=\"center\")\n",
    "\n",
    "ax[0][1].tick_params(axis=\"x\", bottom=False, labelsize=g_label_fontsize, pad=1)\n",
    "ax[0][1].tick_params(axis=\"y\", left=True, labelsize=g_label_fontsize, pad=5)\n",
    "\n",
    "ax[0][1].set_title(\"(b) Two-node, single parallel\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '(c) Single-node, hybrid parallel')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for idx, (x_label, y_data) in enumerate(data_c.items()):\n",
    "    positions = group_positions[idx]\n",
    "    for i, (pos, value, color, edgecolor, hatch) in enumerate(\n",
    "        zip(\n",
    "            positions,\n",
    "            y_data,\n",
    "            colors,\n",
    "            edgecolors,\n",
    "            hatches,\n",
    "        )\n",
    "    ):\n",
    "        if value == -1:\n",
    "            ax[1][0].text(\n",
    "                pos,\n",
    "                1,\n",
    "                \"OOM$\\\\times$\",\n",
    "                rotation=90,\n",
    "                ha=\"center\",\n",
    "                va=\"bottom\",\n",
    "                color=\"red\",\n",
    "            )\n",
    "        ax[1][0].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[1][0].set_xticks(list(group_centers.values()))\n",
    "ax[1][0].set_xticklabels(list(data_c.keys()))\n",
    "\n",
    "ax[1][0].set_ylim(0, 85)\n",
    "ax[1][0].set_yticks([0, 40, 80])\n",
    "ax[1][0].set_yticklabels([\"0\", \"40\", \"80\"], rotation=90, ha=\"center\", va=\"center\")\n",
    "\n",
    "ax[1][0].tick_params(axis=\"x\", bottom=False, labelsize=g_label_fontsize, pad=1)\n",
    "ax[1][0].tick_params(axis=\"y\", left=True, labelsize=g_label_fontsize, pad=5)\n",
    "\n",
    "ax[1][0].set_ylabel(\"Peak Memory (GB)\", fontsize=g_label_fontsize)\n",
    "ax[1][0].set_title(\"(c) Single-node, hybrid parallel\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '(d) Two-node, hybrid parallel')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for idx, (x_label, y_data) in enumerate(data_d.items()):\n",
    "    positions = group_positions[idx]\n",
    "    for i, (pos, value, color, edgecolor, hatch) in enumerate(\n",
    "        zip(\n",
    "            positions,\n",
    "            y_data,\n",
    "            colors,\n",
    "            edgecolors,\n",
    "            hatches,\n",
    "        )\n",
    "    ):\n",
    "        ax[1][1].bar(\n",
    "            pos,\n",
    "            value,\n",
    "            width=bar_width,\n",
    "            color=color,\n",
    "            hatch=hatch,\n",
    "            edgecolor=edgecolor,\n",
    "        )\n",
    "\n",
    "ax[1][1].set_xticks(list(group_centers.values()))\n",
    "ax[1][1].set_xticklabels(list(data_d.keys()))\n",
    "\n",
    "ax[1][1].set_ylim(0, 85)\n",
    "ax[1][1].set_yticks([0, 40, 80])\n",
    "ax[1][1].set_yticklabels([\"0\", \"40\", \"80\"], rotation=90, ha=\"center\", va=\"center\")\n",
    "\n",
    "ax[1][1].tick_params(axis=\"x\", bottom=False, labelsize=g_label_fontsize, pad=1)\n",
    "ax[1][1].tick_params(axis=\"y\", left=True, labelsize=g_label_fontsize, pad=5)\n",
    "\n",
    "ax[1][1].set_title(\"(d) Two-node, hybrid parallel\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f9baecb62a0>"
      ]
     },
     "execution_count": 24,
     "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": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
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wuHzPnj2aOnVqUMeaPXu21q9fL0lq3Lix2rZtG9T9o/h68803lZWVJUkaNGiQEhISJEl33nmnx/fPmzdPGzZsCFt9CA/yDE5AniEbmYbibN++fV7XlSlTJoyVoKjIMkSaUaNGyRhTYHlsbKx69OgR1lr69esX1vFQNOQZIg15Bn+QYUCuEiVKeP1Nu5I0ZswYZWRkhLEiALAPjingBJyHA1kGJyDLkI1MQ3HGNQXOQp4h0nAeDoEgyxBpyDL4ixwDcnFdAYoiYhpFZDd2MMZE1ANAaDRs2FCdOnXyuG7UqFE5J5aCYdSoUTnPvR1EhsrixYs1cuRIXXHFFapWrZri4+MVHx+vqlWr6vLLL9e9996rOXPmKDMzM2Q1bNiwQc8//7w6dOigM888UyVLllSpUqV09tlnq3v37po6darS0tJCNr4kLV++XI8++qjatm2rmjVrqmTJkipZsqRq166tli1b6rHHHtOSJUtCWkOwnThxQlOmTJHk/j8s78HYgAEDck6I5mWM0fjx48NWI8KDPCPPyDM4CZlGptk904oiKSnJ67pzzz03jJWgqMgysiySsuzw4cP68MMPPa679NJLVaFChbDWc91116lhw4ZhHROBI8/IM/LMO/Is8pFhZFgkZVgkGDhwoGJjYz2u27dvn+bNmxfmigDAHjim4JjC7scUnIeDRJaRZWQZnIVMI9PsnmlFwTUFzkKekWeRlGech0OgyDKyjCzzjiyzB3KMHIukHIsEXFeAgBmLuVwuExUVZVwul4mJiTENGzY0Xbp0MTfccIMZMGCAuemmm8L6GDhwoOnTp4+59tprTbNmzUyZMmWMy+XKqXPt2rVWf8kA2xk4cKCRZCSZn376KWf53Llzc5af+vjss8+CMvby5ctz9nnWWWeZjIwMj3XlfQwcOLBIY2ZmZpoPP/zQ1KtXz+v8Tn3UrFnTjBs3zqSnpxdxxrn+/PNPc8011xiXy3Xa8c8991zz448/milTpnhcH6gffvjBNGnSxOevQ9u2bc2yZcsCGsvT3+cVV1wRcO2nM3HixJxxunTpUmD97bff7nGO5cuXNydOnAhZXQgt8ow8I8/IMych08g0u2XaE0884bG+YGWkt397ksysWbOCMgaCjywjyyI9yz744AOvNd13330B1QNnIs/IM/IMdkaGkWGRnmGnCvXnS2/atGnj9Wtzyy23hHRsALADjik4prDbMYUvOA9X/JBlZBlZRpY5CZlGptkt07imAN6QZ+RZpOcZ5+HgC7KMLCPLYHfkGDkW6Tl2Kq4rgJ1ETKOIBx980Bw9etTqcgpIT083Y8aMMTExMTSKAALk7WDOGGMuueQSj/9xXXbZZUEZ+4YbbsjZ5+uvv+61rmAdzG3dutW0bt063/5at25txo4da3744Qczc+ZMM2bMGNO8eXOPYzdq1Mj8+eefRZy1MW+++aYpUaJEzn5dLpfp1KmTmThxovn+++/NRx99ZO655x5Trly5nPfExMSYjh07BuVgLiUlxdx8880521evXt2MGDHCfP7552bevHnm/fffN//+97/z1Zi3jvHjx/s9ZrhPgjZs2DBnnG+//bbA+tWrV3s9MJs8eXLI6kJokWfkGXlGnjkJmUam2S3TQvkDt61bt3qct+T+wWswf+iK4CLLyLJIz7JevXp5PZb65JNP/K4FzkWekWfkGeyMDCPDIj3DTmXVBR0vvvii1yytXr16SMcGADvgmIJjCrsdU/iC83DFD1lGlpFlZJmTkGlkmt0yjWsK4A15Rp5Fep5xHg6+IMvIMrIMdkeOkWORnmOn4roC2ElENIro3bu31WWc1sMPP0yjCCBAhR3MffTRR17/8zr1vf7asmWLiY6ONpJMYmKiSU5O9lpXMA7mli9fbipUqJCzn2rVqpnvv//e6/u///57U61atQLjly9f3ixatCigGowxZvjw4fn2V6tWLTN//nyP7z127Jjp16+f17+DQA7mDh06ZC677LKcg8gHH3zQa3f4jRs35juZmPfx9NNP+zVuOE+Czp8/P2eM888/32RlZXl8X6tWrTzOrXHjxiGpC6FHnnlGnpFnsCcyzTMyLXIzLVQ/cMvMzDTt27f3+nWeOHFikfaP0CLLPCPLIifLEhMTvc79t99+86sOOBt55hl5Rp7BHsgwz8iwyMmwU1l1QcePP/5Y6N/D3r17Qzo+AEQ6jik845gico8pTofzcMUTWeYZWUaWwZ7INM/ItMjNNK4pgDfkmWfkWeTkGefh4AuyzDOyjCyDfZBjnpFjkZNjp+K6AthJRDSKWLBggdVlnNbu3btNdHQ0jSKAABR2MJeRkWFq167t8T+uzp07F2nc//znPzn7evjhhwutq6gHc7/99lu+DlpnnHGG2bBhw2m327Ztm6levXqBGhISEkxSUpLfdTz55JP59nP22Webbdu2nXa7++67LygHc2lpaaZZs2Y5202ZMuW02xw9ejTfNtkPl8tlvvrqK5/HDudJ0J49e+aMcWo3ubw+/vhjr1/TJUuWhKQ2hBZ55h15Rp7Bfsg078i0yMy0UPzALTU11fTv39/r17hjx45eL3hDZCDLvCPLrM+ybdu2FTr3w4cP+1wDnI888448I88Q+cgw78gw6zPME6su6Ni/f3+hfw+FXSAEAMUBxxTecUwRmccUp8N5uOKJLPOOLCPLYD9kmndkWmRmGtcUwBvyzDvyzPo84zwcfEWWeUeWkWWwB3LMO3LM+hzzhOsKYCcR0Sji6NGjVpfhk5o1a9IoAghAYQdzxhjz2muvef3Pa/Xq1QGNefDgQZOQkGAkmbi4OLNr165C6yrKwdyRI0fM+eefn28fH3zwgc/bJyUlmZiYmAJ11KhRwxw6dMjn/cyaNcu4XK6c7WNiYszSpUt92jYtLc1ccsklRT6YGzlyZM42w4YN83m7P/74w8THxxcY94wzzjDHjh3zaR/hOgm6Y8eOnL+vMmXKFPp/WFpamqlatWrQPjTAeuRZ4cgz8gz2QqYVjkyLvEwL9g/cFixYUOjXt2nTpj7PE9YhywpHllmbZbNmzfI677Jly/o8BxQP5FnhyDPyDJGNDCscGeb8z5f+KF26tNe/h7Fjx4Z8fACIZBxTFI5jisg7pigM5+GKL7KscGQZWQZ7IdMKR6ZFXqZxTQG8Ic8KR55xHg72QJYVjiwjyxD5yLHCkWPO/4zpD64rgL+iZDGXy6UyZcpYXYZPypcvb3UJgCPdcsstSkxM9Lju5ZdfDmifEyZMUHJysiSpf//+qlq1asD1nc7999+vjRs35rxu2LCh+vTp4/P2jRo10l133VVg+T///KNhw4b5tI9jx47p9ttvlzEmX11NmjTxafvY2Fg99dRTvhXsxbx58zRq1ChJ0hlnnKEnnnjC523r1q2rG2+8scDyAwcOaPz48UWqK9jGjx+vjIwMSdLAgQML/T8sNjZWgwcP9rjuk08+0cGDB0NSI6xDnpFn5BmchEwj0+ySaf/8848+++wzLV++XNu3b9fRo0eVnp4uY4wyMzN14sQJ7d69W0lJSfrss8/04IMPqkGDBmrdurWSkpI87vOWW27R/PnzlZCQEObZINjIMrLMyizbsGGD13WVK1cO6dhwHvKMPCPPYGdkGBlml8+X4VCjRg2v6w4dOhTGSgDAfjim4JjCTscUnIeDN2QZWUaWwUnINDLNLpnGNQU4HfKMPOM8HJyALCPLyDLYHTlGjtnlM2Y4cF0B/GV5o4hatWpZXYLPatSooRIlSlhdBuA4CQkJuuOOOzyu+/jjj7V9+3a/9peWlqY33nhDkrsZzfDhw4tcozerV6/W5MmT8y0bPHiwXC6XX/t56qmnPH4AmjJlin766afTbv/www9rx44dOa9LlCihe++9168aunTpotq1a/u1TV5PPPFEzsHkjTfeqLJly/q1fdOmTT0uf/PNNwOuKdjS0tL09ttvS3L/2xo6dOhptxkyZIiio6MLLD958qSmTJkS9BphLfKMPJPIMzgHmUamSfbItE2bNql3795q0qSJatWqpXLlyqlEiRKKiopSTEyMSpcurWrVqqlx48bq3bu3XnrpJa1du9bjvlq3bq1FixZp8uTJio+PD/NMEApkGVkmWZdlhf1AvmTJkiEdG85DnpFnEnkG+yLDyDDJHp8vw6GwG6uOHDkSxkoAwH44puCYQrLHMQXn4VAYsowsk8gyOAeZRqZJ9sg0rinA6ZBn5JnEeTjYH1lGlklkGeyNHCPHJHt8xgwHriuAvyxvFLFlyxarS/DZnDlzdN5551ldBuBId999t+Li4gosT09P15gxY/za1wcffKBdu3ZJkrp27ap69eoFpUZPnnrqKWVmZuZbdu211/q9n3Llyum2227zuO7FF18sdNuNGzfqrbfeyresR48eqlSpkl81REVF6YorrvBrm2xJSUlatGhRzuurr77a731Ur17d4/Jt27Zp06ZNAdUVbJ9++qn27t0rSerQoYPq1q172m1q1Kihbt26eVw3YcKEfJ3a4AzkGXlGnsFJyDQyzQ6ZFgzR0dF64IEH9P7776tly5ZWl4MgI8vIMquyrLAfyHMSFIEgz8gz8gx2RoaRYcXl8+XpFJabR48eDWMlAGBPHFNwTGGHYwrOw+F0yDKyjCyDk5BpZJodMi0YuKbA+cgz8ozzcHACsowsI8tgd+QYOVZcPmOeDtcVwF+WN4oAAEmqWrWq+vfv73Hd22+/rcOHD/u8r9GjR+c8HzlyZFFL8+rvv//WjBkz8i2rVq2aatWqFdD+vM3/+++/99qdWJLGjh2rrKysfMsCOZiSpIsuuiig7U49mGzQoIHf+yhdurTXdQsWLPB7f6GQ3U1Ocn8A8dVdd93lcfmmTZv0/fffF7kuRBbyjDwjz+AkZBqZZodMO/fcc/Xxxx/rxx9/1MKFC3MeCxYs0Jw5c/TFF1/ojTfe0PDhw9W6dWuPv9UjMzNTL730kmrVqqVmzZpp0qRJSk1NtWA2CAWyjCyzKsuSk5O9rvN0Qgs4HfKMPCPPYGdkGBlmh8+X4XDq32VeMTExYawEAOyJYwqOKexwTMF5OJwOWUaWkWVwEjKNTLNDpnFNAXxBnpFnnIeDE5BlZBlZBrsjx8gxO3zGDAeuK4C/aBQBIGIMHz5cLperwPLk5OQCBwvefPvttzkHPk2bNlWrVq2CWmNeU6dOLdDxqygdxurUqaPLLrvM47pPP/3U4/IjR47o3XffLbC8SZMmAdVQoUKFgLabO3duvte1atWSy+Xy69G+fXuv+//nn38CqiuYli9frqVLl0pynzjo3Lmzz9u2a9fOa2d9X/9tw17IM/LMG/IMdkSmkWneREKmSVLNmjV1ww03qF27drr88stzHq1atVLHjh11/fXXa+jQoRo1apR+/vlnHTp0SJ988omuvPJKj/tbsmSJhgwZorp16xb44S3siywjy7wJZZbFxsZ6XceFYwgUeUaeeUOewQ7IMDLMm0j5fBkOKSkpXteVKlUqjJUAgH1xTMExhTeRcEzBeTj4iiwjy7why2BHZBqZ5k0kZJrENQXwHXlGnnnDeTjYCVlGlnlDlsEuyDFyzJtI+YwZDlxXAH/RKAJAxKhXr56uueYaj+vGjh2rkydPnnYfo0aNynk+YsSIoNXmycyZMwssq1mzZpH22aZNG4/L58+f73H5rFmzCnTfS0hI0Pnnn1+kOvyxa9cubd26NaRj7N+/P6T790XeTvlDhw5VVJR//4XeeeedHpfPnj1b27dvL1JtiDzkGXnmDXkGOyLTyDRvIiHTAhEfH6/evXtr7ty5mjdvns4991yP79u2bZuuv/56PfLII2GuEKFAlpFl3oQyywr7gfyJEydCNi6cjTwjz7whz2AHZBgZ5o1dP18GorDfclOlSpXwFQIANsYxBccU3kTCMQXn4eArsows84Ysgx2RaWSaN5GQaYHgmoLiizwjz7zhPBzshCwjy7why2AX5Bg55o1dP2MGgusK4K8YqwsAgLxGjhypr776qsDyPXv2aOrUqRoyZIjXbZOSkjRv3jxJ7m7m3bt3D1mdR44cUVJSUoHlZcqUKdJ+GzVq5HH5kiVLlJGRoZiY/LHt6SCvYsWKHrunhcrixYsLLPvpp58K1FoUVatWDdq+ArFv3z598sknkqTSpUtr0KBBfu9j4MCBevjhh3X8+PF8yzMzMzVx4kQ9++yzQakVkYM8I888Ic9gV2QameaJ1ZkWDG3bttWqVavUo0cPff/99x7f8/zzz6tixYq67777wlwdgo0sI8s8CWWWFbbvo0ePhmxcOB95Rp55Qp7BLsgwMswTJ3y+9IUxptDfclK7du0wVgMA9sYxBccUnlh9TMF5OPiLLCPLPCHLYFdkGpnmidWZFgxcU1D8kGfkmSech4PdkGVkmSdkGeyEHCPHPHHCZ0xfcF0BAkGjCAAR5fLLL1ezZs3066+/Flg3evRoDR482GuX8rwdv4YNG+Z3N3N/rFq1SsaYAsvj4uKKtF9vB3Opqanat2+fqlWrlm+5p4O5cuXKFakGf3nq9N6gQQNVrFgxrHWE0ttvv63U1FRJ0oABAwL6GpcrV079+vXTpEmTCqybPHmynnjiCcXGxha5VkQO8ow8i0TkGQJFppFpTpaQkKCZM2eqdevWWrZsmcf3jBgxQq1bt1bjxo3DXB2CiSwjy8KtVq1aXtft3LnT40kbwBfkGXkWbuQZgokMI8OKs+3btystLc3r+nr16oWxGgCwN44pOKaIRJyHg7/IMrIsEpFlCBSZRqY5GdcUFC/kGXkWbpyHQyiQZWRZuJFlCDZyjBwrzriuAIEIXdIBQIBGjhzpcfnGjRv15Zdfelz3999/67PPPpPk7noVSDdzf2zcuNHj8pSUlCLt9/zzz/fasWv//v35Xp88eVKbNm0q8L6idh7z16FDhwosO3LkSFhrCKXMzExNmDAh5/X48ePlcrkCeng6ASq5u9p98cUX4ZoSwog8I88iCXmGoiLTyDQni4+P17Rp07yejMjKytLw4cPDXBVCgSwjy8KpQYMGXtdlZGRo27ZtYawGTkOekWfhRJ4h2MgwMqy48vTbZLKVKlWq0LwFABTEMQXHFJGE83AIFFlGlkUSsgxFRaaRaU7GNQXFC3lGnoUT5+EQKmQZWRZOZBlCgRwjx4orritAIGgUASDiXHfddTrvvPM8rnvllVc8Ln/ttdeUkZEhSbrzzjtVsmTJkNUnSYcPH/a4PDk5uUj7jYqK8nowdvTo0Xyv9+3b5/F9J06cKFIN/vJ0MOetNjuaOXOmx85mwfbWW2+FfAyEH3lGnkUS8gxFRaaRaU5Xt25d/fvf//a6/ueff9aff/4ZxooQCmQZWRZO9erVU+nSpb2uX7t2bRirgdOQZ+RZOJFnCDYyjAwrrjz9xptsLVu2VHR0dBirAQD745iCY4pIwnk4BIosI8siCVmGoiLTyDSn45qC4oM8I8/CifNwCBWyjCwLJ7IMoUCOkWPFFdcVIBA0igAQcaKiorx21l2yZIl+/vnnfMuOHDmiyZMnS3J37R06dGjIa0xLS/O4/NQDrkCULVvW4/JTD/JO7QIWzBr84engceXKlWGtIZTeeOONnOeTJk3SwoULi/R45plnPI6zYMECPgA7EHlGnkUS8gxFRaaRacXBLbfcUuj6r7/+OkyVIFTIMrIsnGJiYnTFFVd4Xb9o0aIwVgOnIc/Is3AizxBsZBgZVlzNnj3b67prr702jJUAgDNwTMExRSThPBwCRZaRZZGELENRkWlkWnHANQXFA3lGnoUT5+EQKmQZWRZOZBlCgRwjx4orritAIGgUASAiDRw4UJUqVfK47uWXX873euLEiTp27Jgk6aabbvK6XTAlJiZ6XL5ly5Yi77tcuXIel59xxhn5XqekpHh838GDB4tcgz88HXwuXbo0rDWEytq1azV//nxJUv369TV48GBdfvnlRXoMHz7c678fOuY7E3lWEHkWfuQZgoVMK4hMc5bmzZurVKlSXtevW7cujNUgVMiygsiy0OnatavXdaeerAL8RZ4VRJ6FDnmGYCPDCiLDnO2PP/7QmjVrPK6LjY1Vjx49wlwRADgDxxQFcUwRfpyHQ1GRZQWRZeFHliFYyLSCyDRn4ZqC4oM8K4g8Cx3OwyFUyLKCyLLQIcsQCuRYQeSYs3FdAQJFowgAEalkyZJeu3d9++23Of/ppaena+zYsZLc3cKGDRsWlvpOPbDKtmHDBmVmZhZp39HR0QWWlStXTjVq1Mi3zNsB5cGDB7V79+4i1eCPChUqFFi2cOHCsI0fSuPGjct5ftdddwVlnyVLltRNN93kcd20adOUnJwclHEQOciz/Mgza5BnCBYyLT8yzXmio6N13nnneV0fzr9DhA5Zlh9ZFlq9evVSTEyMx3XLli3T1q1bw1sQHIU8y488Cy3yDMFGhuVHhjnfxIkTva7r0aOHqlatGsZqAMA5OKbIj2MKa3AeDkVFluVHllmDLEOwkGn5kWnOwzUFxQd5lh95Flqch0OokGX5kWWhRZYhFMix/Mgx5+O6AgSKRhEAItZdd93lsfOuMUavvPKKJOmjjz7SP//8I0m69tprdf7554eltjp16nhcnpqaqk2bNhVp38ePHy+w7OKLLy6wzNsBpSStWLGiSDX4o2LFigWWbd68OafLfFFt3LhRGRkZQdmXP44cOaJp06ZJksqUKaMBAwYEbd933HGHXC5XgeXHjh3T+++/H7RxEDnIs1zkGXkG+yPTcpFp4c+0cChdurTXdZ5+8Ap7IstykWWhzbKKFSuqV69eHtcZY3KO08LNGGPJuAg+8iwXeUaewX7IsFxkmDM/X2bbt2+fJk+e7HFdVFSUHnzwwTBXBADOwjFFLo4pOA8H+yLLcpFlZBnsj0zLRaY582c+XFNQfJBnucgzzsPBvsiyXGQZWQZ7IsdykWPO/IyZjesKUBQ0igAQsc444wwNGjTI47qPPvpI27dv16hRo3KWjRw5Mlyl6V//+pfKlSvncd28efOKtG9PB3MdO3YssOyMM85QyZIlPe5jwYIFRarBH54ONKXCu1j545ZbbtHTTz8dlH35Y8qUKTl/FwMHDlSZMmWCtu/zzz9f7dq187hu/PjxQRsHkYM8y0WekWewPzItF5kW/kwLhz179nhdV7169TBWglAiy3KRZaHPsvvvv9/jhbCSNGHCBJ08eTLkNeQ1bdo0tWrVSllZWWEdF6FBnuUiz8gz2A8ZlosMc+bny2xPPfWU19+U269fP1100UVhrggAnIVjilwcU3AeDvZFluUiy8gy2B+ZlotMc+bPfLimoPggz3KRZ5yHg32RZbnIMrIM9kSO5SLHnPkZMxvXFaAoaBQBIKINGzbMY4fd9PR09erVS6tXr5YktWzZUs2bNw9bXVFRUWrVqpXHdbNnzw54vxkZGTpw4ECB5ddcc02BZdHR0WratKnH/bz//vvKzMwMuA5PdXlzySWXeOzO9tlnn2nJkiVFGnfVqlVauHChGjRoUKT9+MsYo7feekuS5HK5dNdddwV9jDvuuMPj8t9//12LFi0K+niwHnnmRp6RZ3AGMs2NTAtvpoXD8ePHc7oKe9KsWbMwVoNQI8vcyLLQZ9nFF1+sG2+80eO6nTt36s033wx5DdnWrFmj22+/XW3atFFUFD8adgryzI08I89gT2SYGxnmvM+X2RYtWuT15qeKFSvmu2gJABA4jincOKbgPBzsjSxzI8vIMjgDmeZGpjnvZz5cU1D8kGdu5Bnn4WBvZJkbWUaWwb7IMTdyzHmfMbNxXQGKiv/pAES0c845R927d/e4Lu+BwogRI8JVUo6bbrrJ4/J58+bp6NGjAe1z8+bNSk9Pz7esadOmXg9mWrdu7XH5zp079dVXXwVUgydpaWle18XGxno8kM7MzNTNN9+s1NTUgMd98MEHFR0drSuuuCLgfQRizpw52rhxoySpXbt2qlevXtDH6Natm9fu0XTMdybyjDwjz+AkZBqZZkWmhcPs2bO9fm1iY2PVuXPnMFeEUCLLyLJwZtnLL7+ssmXLelz37LPPatu2bSGv4dChQ+rRo4eqV6+uRx99NOTjIXzIM/KMPIOdkWFkmFM/X0rS7t271bdvX6+/pWjixImqXLlymKsCAGfimIJjCs7DwQnIMrKMLIOTkGlkmlN/5sM1BcUPeUaecR4OTkCWkWVkGeyOHCPHnPoZU+K6AgQHjSIARLyRI0cWur5OnTrq1q1bmKrJde2116pGjRoFlqekpGjSpEkB7XPt2rUFlt15551e3+/tQFeShg8fruPHjwdUx6lSUlIKXT9o0CCPy9etW6ebbropoA5kH330kb777jt17dpVVapU8Xv7onj11VdznoeiU74kxcTEeP1A8Pnnn2vXrl0hGRfWIs/IM/IMTkKmkWnhzjRvPwALFmOMxowZ43V9z549VbVq1ZDWgPAjy8iycGVZzZo1NXbsWI/rDh8+rD59+hTacbuoUlJSdM0112jz5s2aPHmy4uPjQzYWrEGekWfkGeyMDCPDnPb5UpKOHj2qbt26afv27R7XP/LII4X+/QIA/McxBccUnIeDE5BlZBlZBich08g0p/3Mh2sKii/yjDzjPBycgCwjy8gy2B05Ro457TOmxHUFCB4aRQAIubwdowrrHuVNkyZNCu36NHz4cEVF+R9n3mrxtcaYmBg9+OCDHteNHTs2oA8vs2fPzve6Xr166tevn9f3X3TRRWrXrp3HdVu2bNHw4cP9rsGTw4cPF7q+d+/eqlmzpsd1H3/8sQYMGFCgm1lhli5dqiFDhkiShg4d6tM2xhiflp3Ob7/9ph9//FGSVKVKFXXt2tXvffiqf//+HpenpaVp3LhxIRsXgSPPfEeeuZFn5FkkI9N8R6a5WZlpkorUTdYX48eP16+//upxXXx8vJ577rmQjo/AkGW+I8vcrMyygQMH6rbbbvO4bvHixerbt29IToSmpqbqhhtu0C+//KIXX3zRsZ217Y488x155kaekWeRhAzzHRnm5vTPl/v371f79u21bNkyj+sHDx6sZ555JqQ1AIAdcUzhO44p3DgPx3m4SESW+Y4scyPLyLJIRqb5jkxzc/rPfLimwL7IM9+RZ26ch+M8XCQiy3xHlrmRZWRZpCHHfEeOuTn9MybXFSCoDACE2LXXXmskGUnmyy+/DGgfs2bNytlH3kflypVNSkpKkevK+7j22mt93kdmZqa59NJLPe7n9ddf96uelJQUU7FixXz7+Oqrr0673ffff+9x/OzHo48+6tP4hw4dMi1atPC4jy+++OK0248bN67QOi666CKTlJR02v28//77pkyZMkaS6dq1q0+1G2PMjTfeWGDM5s2b+7x9tm7duuVsf9ttt/m9vb/q1q3r8etVrlw5c+DAgZCPD/+QZ74hz9zIM/Is0pFpviHT3KzONGOMufXWWz3O4Yorrghof3nNmDHDxMTEeP06vfbaa0UeA6FBlvmGLHOLhCxLS0szbdu29TqX6667zhw5ciSgfXty5MiRnPH69OkTtP0i+Mgz35BnbuQZeRZpyDDfkGFukZBhgwcP9jiHYHy+XLZsmaldu7bXr9O9995rsrKyijwOADgRxxS+4ZjCzepjCs7DwRuyzDdkmRtZRpZFOjLNN2Sam9WZZgzXFMA78sw35JlbJOQZ5+HgCVnmG7LMjSwjyyIROeYbcswtEnKM6wpgJzSKABByl112Wc5/VG+99VZA+8jKyjIXXHBBgf/4nn766aDUlffRpEkTv/azcuVKExcXV2A/ZcqUMRs3bvR5P88880y+7W+99Vaft73lllsKPZAaMGBAoR+ifvvtN9OgQQOv27dp08ZkZGTkvH/v3r0F9pGVlWU6depUaB3R0dGmU6dO5oMPPjDr1683ycnJ5vjx4+aPP/4wkyZNyvd3kpCQYDZt2uTz16Bjx44Fxqtfv77P2xtjzMKFC/Nt/9577/m1fSBuuukmr1+v4cOHh3x8+Ic88w15Rp6RZ/ZApvmGTLM+07K1b9/eY/1F+YFbRkaGeeGFF0yJEiW8fn1uueWWgPeP0CPLfEOWRU6WGWNMcnKyadeunde5nHPOOWbRokUB7z/b8uXLTf369Y0k06NHD5OWllbkfSJ0yDPfkGfkGXkWmcgw35BhkZNhHTp08Fh/UT5fHj582AwfPtxER0d73HdCQoL54IMPAt4/ABQHHFP4hmMK648pOA+HwpBlviHLyDKyzB7INN+QadZnWjauKYA35JlvyLPIyTNjOA+Hgsgy35BlZBlZFrnIMd+QY5GTY1xXADuhUQSAkEpLSzOlS5fO+Q/r9ttvD3hf//3vf/P951eqVCmzf//+oNSV91G6dGm/Pxi88847HvdVv359s2/fvtNuv3DhQlOyZMmc7Vq0aGGOHz/u8/jJycmmTp06hR5IVatWzTz++ONm1apV5siRI+bgwYNmwYIF5tZbb83pdNykSROv25977rmmc+fOpnbt2qZevXoe69izZ4+pXr16oXX4+pg+fbrP8zfGmLPOOqvAPkqWLOnz32VKSoqpV69evu0//PBDv2oIxH/+8x+vX4OYmBizYsWKkNcA35Bn5Bl5VjjyzF7INDLNLpmW7fjx4zmdYU99NG/e3KSnp/u1v5SUFPPee++ZSy65pND5Dh8+nI6sEYwsI8vslmV5paSkmD59+hRaZ7du3cyyZcv83ve2bdvM3XffnfO179evn985ifAiz8gz8swz8sweyDAyzG4Zdvz4cVO2bFmPNTVt2tSkpqb6tb9169aZBx54wJQrV87rXLt3727++usvv/YLAMUNxxQcU9jlmILzcCgMWUaWkWWFI8vshUwj0+ySadm4pgDekGfkmd3yLC/OwyEbWUaWkWWekWX2QY6RY3bLMa4rgN3QKAJASI0dOzbff1qVK1c2hw4dCmhfqampplq1ajn7Gjp0aMB1vfHGG4UeSEyZMsXvfY4ePdrjvs455xyzZMkSr9t9/PHH+Q4eWrRoUWiHLm82b95satSoEfDB0yOPPGKmTJlS6Hvi4+PNkCFDCu1mtnbtWlOlSpUiHci9+OKLfs39p59+8rqvCRMmnHb7jIwM07t37wLbtm3bNqQfFD2deD31UatWLQ70IgR5Rp6RZ96RZ/ZDppFpdsi0bFlZWWbIkCGF1hYXF2cuvvhi079/f/PCCy+YSZMmmU8//dR89913Zt68eebLL7807777rnn00UdNx44dC/1BmyRz1llnmW+//dav+SL8yDKyzE5Z5s2kSZO8nmzKftStW9c88sgj5uuvvzb//PNPgYvNjh8/bpYtW2befPNN06FDh5wTNiVLlgxKjQg98ow8I8/cyDN7IsPIMDtlWGZm5ml/i0qJEiVM48aNzYABA8xzzz1npk2bZubMmWN+/vln88MPP5jp06ebUaNGmZtvvtmcd955XvcTHR1trrvuOrNw4UK/5goAxRXHFBxT2OGYgvNwOB2yjCwjy7wjy+yHTCPT7JBp2bimAIUhz8gzO+WZN5yHA1lGlpFlbmSZfZFj5JidcozrCmBHNIoAEBK7d+82jz/+uImOji7wn1iDBg3M999/H9DJpRdeeCHnP8JATgzt2bPHPPnkkzkfCAr7D/uFF17wu6vY559/7rFjVFRUlLn66qvNhAkTzA8//GBmzZplxowZY5o3b57zHpfLZYYNG1akbnt///23ufjii/06cIqJiTGvvfaaMcZ4PZhLTEw0Dz/8sNmzZ49PdWzbts1ceumlfh/ERUdH+3XwdfDgQTNjxgxTtWrV0/5dbty4sUDHrr/++stMmDDBXHTRRV63b9GihZk6darZsGFDUE6IZmVlmf3795sffvjBXHnllT59XcqWLWseffRRs2LFCr+6wSE4yDPyjDzzjDyzJzKNTLNDpm3fvt1s2bLFrFq1yrz33numRYsWftccyCMmJsa0adPGvPfee3SVjnBkGVlmhyzzx86dO83NN99soqKifJpLVFSUKV++vKlSpYopVaqUx/dce+21Zv369QHXhPAgz8gz8ow8szMyjAyzQ4Zt2bLFrF+/3ixZssS888475rLLLvO7Zn/nd/nll5uXXnrJbNu2zfe/WAAoxjim4JjCDscUnIfD6ZBlZBlZ5hlZZk9kGplmh0zjmgL4gjwjz+yQZ/7gPFzxRJaRZWQZWWZ35Bg5Zocc47oCOAGNIgAETYcOHcyFF15oatSoYVwu12n/YytVqpQ577zzzIUXXmjefPNNn8Y4dOiQSUhIML169QpZXXkfLpfL1KxZ01xwwQWmQ4cOPo23c+dOM2jQIFOiRAmfx+jSpYtZuXKlz3MqzMmTJ81jjz3m9YPQqQfWv/zyS862px7MnXnmmebVV181x44d87uO9PR088orr5gKFSr49HW4/PLLTVJSks/79/fvMvsxaNAgY4wxzzzzjN/bRkVFmQ8++MDvr0VewTgofPfdd4tUA06PPHMjz9zIM8/IM/sg09zINLdIzzRjjKldu3ZQMubU3CtZsqQpV66cqVatmmnYsKFp3769GThwoHnxxRfN7NmzA+5OjPAgy9zIMjc7ZFkgtmzZYh566CFTvXr1gMYvW7as6d+/v1m6dGmR6kBokWdu5JkbeUae2Q0Z5kaGudkhwwq7ASqQR0xMjClTpoypVKmSqVevnmnfvr0ZNGiQeeWVV8y8efPM4cOH/f46AkBxxDGFG8cUbpF+TMF5OHhDlrmRZW5kmWdkmX2QaW5kmlukZ5oxXFMA78gzN/LMzQ55FgjOwzkfWeZGlrmRZWSZHZFjbuSYmx1yjOsK4AQuY4wRAATBhg0blJaWFtC2lStXVuXKlX1679atW1WuXDklJiaGvK68SpQooTp16vj8/t27d2v69OmaN2+e1qxZo507dyolJUWlS5dWxYoVddFFF6lly5bq1auXatWqVeT6TnXgwAFNmzZNc+bM0e+//659+/YpOjpaZ555ppo2barevXura9euioqKytnm3Xff1aBBg9SwYUONGDFCffr0UWxsbJHqSEl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HHgu5RiDSvJhvp59/ww03BLzn9TV3IG96NwzDePvttwPKoAkTJoR073Py5EnjD3/4g89rVK9e3diyZUtAPwNgJ2QZWUaWwam8mF9muNfkXhPu4sVsY2/G3gzuQ5aRZWQZnI6DIgCXe+SRR84sWFWqVDGmTZt23gV8165dxi233FLmxuG+++4Lqp57773X9HqhvknUMAzjwIEDRvfu3X3WHB8fb3z44YchzXHDDTeEvMn773//W+YbWkeOHBl0fQcOHDCaN29+5lrNmzc39u/fH/T1/LVu3TrjwgsvPDPvzTffbMnJq/568sknz8ydmZkZ9KbPMM6+0fPdd98NuA6r3iRqGIbx+uuvB/Rnw+69GWlW9oQZsows80c012CyzB1ZZhjk2fnYvWfIM/LMrr0ZKu4zyTInZlmguM+0f29GGvuystm9X9ySZezLyDIz7M3IMyfmWaDYm9m/NwHAjY4ePVrqsb///e8h53GgHn744TPzLFq0KGzzmGnSpIlla19JP/zwg1GvXj2f61L16tVD/vSuyy67LOT6f/rppzIPWnv99ddDqhGIBq/lmyQjKSnJ2LFjR1CvNfsK9E3vhmEYt99+u98Z9I9//MPn3IEYPHiwz+s0aNDAOHbsWMA/B2AXZFlgryXLAPvwWn6Z4V6Te024j9eyjb0ZezO4E1kW2GvJMsBeOCgCcLFDhw6dORmzYcOGxubNm/1+bWFhoTF8+HCfC198fLyRnZ0dcE2PPvqo6fWseJOoYRhGQUGBcc899/isOykpyVi8eHHQ1//tb39rySYvKyvLZ41xcXHGihUrAq7tyJEjpp+o1bJlS+PgwYMBX89fGzZsMH1jYZ8+fYz8/PywzXvaF198YcTFxRmSjHbt2hnTpk0LadPXvn17o3bt2kF9cpaVbxLNz883LrroIr//bNi5NyPN6p4wQ5YVIct8i/YaTJY5P8sMgzzzh517hjwjz+zam6GKdk+YIcuKkGXW4T6ziJ17M9LYl52fnfvFLVkW7TWYLLNnlkW7L8yQZ0XIM+uwNyti594EAC85duyYERMTE3Ie++vAgQNnPqn0yiuvDMscZTHbewS79pk5cOCA0bp1a59rU506dYxff/016vVPnjzZZ42pqakB7cMBu3Jzvkky7rjjjqBfa/YVzJvef/rpJ78z6OOPP/Y5dyBycnKMiy++2Oe1hg4dGvDPAdgZWeb7tWQZYG9uzi8z3GsW4V4TbufmbGNvxt4M3kGW+X4tWQbYS6wAuNY777yj3NxcXXjhhVq4cKHq1Knj92tjYmI0ceJE3XTTTabj+fn5+uc//xlwTUlJSQG/JhCxsbGaMmWKfv/735uO5+bm6pZbbtG2bduCun5iYmIo5Z3RvXt3tW/f3nSsoKBATz75ZMDXfOCBB7Ry5cpSj69evVrdunXTkSNHAr7m+WzatEmdOnXSrl27So29++67Gj9+vOVznuvo0aMaMGCACgoKVKlSJc2aNUuxsaEvbTfeeKNiYmIsqDB4cXFx6tq1q9/Pt3NvRlK4eqIksqwIWeabHdZgssy5WSaRZ/6yc8+QZ+SZFeyYZ3boiZLIsiJkmTW4zzzLzr0ZSezL/GPnfnFLltlhDSbL7JdlduiLksizIuSZNdibnWXn3gQALylfvrwyMjIiNt+kSZN09OhRSdLIkSMjNu9p4d7bVa5cWQsXLlTz5s1Nx7ds2aJevXopPz8/qOtbtX7ec889qlu3runYsWPH9Nxzz1kyDxBNbs+3m2++OexznE/jxo118cUX+/Vcq/IrKSlJo0eP9jk+ZcqUoO+fATsiy8KPLAPCw+35VRL3mkW414TbuT3b2JuZY28GtyHLwo8sA6zBQRGAi7399tuSpJkzZ6pmzZoBvz4mJkZvvvmmUlNTTccXLVoU1DXDLSYmRq+99prPN7odOXJEAwcOVGFhYcDXtvIfAgwdOtTn2MKFC7V+/fqArvfss8+qQYMGpmMrV65U9+7dz2wYrbB161Z16tRJO3fuNB1v166dhg8fbtl8ZoYPH67NmzdLkiZPnqzatWtbct2WLVtacp1QtW7d2u/n2rk3IylcPVESWXYWWWbODmswWebcLJPIM3/ZuWfIsyLkWejslmd26Amza4YbWVaak7IsENxnnmXn3owk9mX+sXO/uCXL7LAGk2X2yzI79IXZNcONPCvNSXkWCPZmZ9m5NwHAay644IKIzJOTk6OXX35ZkpSZmRmVN2xGYm9XoUIFzZs3T9WqVTMd/+abbzRmzJigrm3V+hkXF6chQ4b4HJ81a5YOHz5syVxANLk535x2D2Dl/v93v/udKleubDpWUFCg1157zbK5ADsgy8KPLAPCw835VRL3mkW414QXuDnb2JuxN4N3kGXhR5YBoeOgCMClCgoK9NVXX6lXr166/vrrg75Oenq67r33XtMxX28OtINy5cpp1qxZqlixoun4Z599dmYDFS033HCDypUr53N84cKFAV3vwgsv1OLFi32eLrpixQr16NFDx48fD+i6ZrZv366OHTtq+/btpuNt27bV/PnzlZKSEvJcvrz33nuaPn26JGnAgAHq16+fJddt3LixmjZtasm1QtWqVSs1btw44vNa3ZuREq6eiCayrDQnZJkd1mCyzLlZJpFn0UKelUaeFUee2aMnooksK80JWRYI7jPDx05ZFgj2ZdFBlpVmhzWYLLNfltmhL6KJPCvNCXkWCPZm4WO3PAMAp0lOTo7IPNOmTdPevXslSSNGjIjIP6SJllq1aun111/3OT527Fh98803EayotJ49e/ocO3nypJYvXx7BaoDwcGu+XXXVVapVq1ZY5/BXp06dgjroMRSJiYnq2rWrz3H2/3Absiz8yDIgPNyaX9HEvSYQfW7NNvZm7M3gLWRZ+JFlQOg4KAJwqXXr1un48eN65JFHQr5Wnz59TB/Pzs4O+drhVKtWLf3pT3/yOf7ss8/q2LFjEayouLS0NDVq1Mjn+LfffhvwNWvUqKHFixfrkksuMR1fvny5brzxRp04cSLga5+2c+dOdezYUVu3bjUdb9OmjbKysnx+Cp0Vdu3adeYU1Tp16mjSpEmWXfvVV1/VlVdeadn1QnHllVfq1Vdfjfi84ejNcAtnT0QbWVaa3bPMDmswWebMLJPIM/IscORZ5JBn9uiJaCPLSrN7lvmL+8zwslOW+Yt9GVkWKPZlkUOWFbFDX0QbeVaa3fPMX+zNwstueQYATpOUlBT2OfLz8/WXv/xFklS3bl3ddtttYZ8z2nr27KnevXubjhUUFOiJJ56IcEXFNWrUSBUqVPA5zvoJN3Brvq1YsUIJCQlhn8cff/zjH3X33XdHfN42bdr4HPv+++9VWFgYwWqA8CLLwo8sA8LDrfkVbdxrAtHl1mxjb8beDN5CloUfWQaEjoMiAJdKTEzUK6+8omuuuSbka11xxRWmfwkRqVOxQjFkyBCfb5jct2+fXnnllcgWVMKll17qcyzYN+HWrl1bixcv9nmy17Jly9SzZ0/l5OQEfO1du3apU6dO2rx5s+n4FVdcoQULFpT5l1ahMgxDd955pw4cOKC4uDi99dZbSktLC9t8XhWO3gwXL/QEWVaanbOMNdg+nJRlEnlGnpFn8M0ueUZPFCHLSrNzlvnDC2uwHdgly/zhhZ4gy0qzc5axBtuHnbKMvihCnpVm5zzzhxfWYTuwU54BgNPExob/rVZvv/32mUObsrOz1bNnTz399NP65JNPdOjQobDPHy3PPPOMz9/vggULtGLFighXVFydOnV8jrF+wg3IN/cqa/+fn5+vgwcPRrAaILzIMvciy+B25Ff4cK8JRA/Z5l7szeAlZJl7kWVwEw6KAFyqXr16uu+++yy5VmxsrKpXr17q8QsvvNCS64dTQkJCmb+HF198Ufn5+RGsqLiyPnErlLrq1KmjxYsXm/5/k6RFixbplltu0cmTJ/2+5u7du9WpUyf98ssvpuPNmjXTp59+qkqVKgVTst9eeuklffrpp5KkJ554QldffXVY5/OqcPVmOHihJ8gyZ2UZa7B9OCnLJPJMIs/IM/hilzyjJ4qQZc7KMn94YQ22A7tkmT+80BNkmbOyjDXYPuyUZfRFEfLMWXnmDy+sw3ZgpzwDAKeJi4sL+xx//vOfz/z30aNH9fHHH2vUqFHq1q2b0tPT1aNHD73zzjsBrfVOcNlll6lHjx4+x8ePHx/Bakpj/YTbkW/uVVZ+SWQY3IUscy+yDG5HfoUP95pA9JBt7sXeDF5ClrkXWQY34aAIAH654IILSj2WmZkZhUoCN2jQIJUrV850bO/evVq8eHGEKzrryJEjPseqVasW0rXr1aunxYsX+7zOJ598oltvvVV5eXnnvVZ2drY6d+6s9evXm443adJECxcuNO0TK61du1aPPfaYJOnqq6/Wk08+Gdb5vCycvWklL/UEWeaeLAuUk9fgaHNKlknk2WnkGXkGc07Ks0A4uSfIMvdkmZfW4GhzSpZ5qSfIMvdkWaCcvAZHm1OyLBhO7gvyzD155qV1ONrcnGcA4HTz58/Xjz/+6HO8oKBAWVlZ+u1vf6vq1atrxIgRZea609xzzz0+x7KysnT06NEIVlMc6ycQGq/nWzSV9XuMjY1Venp6BKsBnI0six6yDAiN1/OLe03AnbyebdHE3gywDlkWPWQZ3ISDIgD4xezUqfbt20ehksClp6frmmuu8Tk+d+7cCFZT3J49e3yOXXTRRSFfv2HDhlq0aJHPzcnHH3+svn376tSpUz6vsW/fPnXu3Fk///yz6XijRo20ePHisG+ATp48qf79+ys3N1dpaWmaPXt2RE5m86pw96YVvNYTZJk7siwYTl6Do80JWSaRZyWRZ+QZSnNKngXKyT1Blrkjy7y2BkebE7LMaz1Blrkjy4Lh5DU42pyQZcFycl+QZ+7IM6+tw9Hm5jwDAKd7/vnn/X7ugQMHNG7cODVs2FDTp0+XYRhhrCwyrr/+eiUnJ5uO5ebm6l//+leEKzqL9RMIjdfzLZrKyq+MjAzuvYAAkGXRQ5YBofF6fnGvCbiT17MtmtibAdYhy6KHLIObcFAEAL/s3Lmz2PcpKSnq3LlzlKoJXPfu3X2OZWVlRbCSs06cOKHvv//e5/h1111nyTzn+6SvefPmqV+/fsrPzy81duDAAXXp0kVr1641fW39+vW1ePFiZWRkWFJrWUaOHKkffvhBkvTXv/5Vl156adjn9KpI9WaovNgTZJnzsywYTl+Do8UpWSaRZyWRZ+QZinNSngXK6T1Bljk/y7y4BkeLU7LMiz1Bljk/y4Lh9DU4WpySZcFyel+QZ87PMy+uw9Hi9jwDACf78ssvtXz58oBft3v3bg0ePFgdOnTQvn37wlBZ5CQnJ5d5YFm09nYbN25Udna2z3HWT6Bs5Ft0ffHFFz7HyC/Af2RZdJFlQPDIL+41ATci26KLvRlgDbIsusgyuAkHRQA4r3379pU6Jel3v/udUlJSolRR4Fq1auVzbNeuXdq7d28EqynyySefKC8vz3QsOTlZHTt2tGyuZs2a6ZNPPlGlSpVMx99//33dfvvtKigoOPPYoUOHdP3112vNmjWmr7n00ku1ZMmSiJxWumjRIr344ouSpH79+mngwIFhn9PLItmbwfJqT5Blzs6yYLhhDY4WJ2SZRJ6ZIc/IMxTnlDwLlBt6gixzdpZ5dQ2OFidkmVd7gixzdpYFww1rcLQ4IcuC5Ya+IM+cnWdeXYejxc15BgBON3bs2JBe/9lnn+mqq67S+vXrLaooOsra25V12FE4ffTRRz7HLrnkEjVu3DiC1QDOQ75Fz8mTJ/Xpp5/6HO/Ro0cEqwGcjSyLHrIMCA35VYR7TcBdyLboYW8GWIcsix6yDG4TH+0CANjfZ599Vuz7mJgY3X///VGqJjjNmzcvc/z777/X9ddfH5li/r/nn3/e59jgwYOVnJxs6XwtW7bUv//9b3Xt2lVHjhwpNf7OO+8oPj5es2fP1tGjR9W1a1d9++23pte6+OKLtWTJEtWoUcPSGs0cPHhQgwYNkmEYql27tl577bWwz+l1ke7NQHm5J8gy52ZZsNywBkeL3bNMIs/KQp6RZzjLCXkWDDf0BFnm3Czz8hocLXbPMi/3BFnm3CwLlhvW4Gixe5aFwg19QZ45N8+8vA5Hi5vzDACcburUqTpx4oRyc3O1b98+7dy5U9u2bdPq1au1cuVKbd++/bzX2LRpk66++mp99NFHatu2bQSqtl5Ze7v169crNzdXSUlJEasnLy9PL7zwgs/xoUOHRqwWwKnIt+h58803fX5KdUZGhvr06RPhigDnIsuihywDQkN+FeFeE3AXsi162JsB1iHLoocsg9twUASA8/rnP/9Z7Pvf/e53yszMjE4xQapSpYrKly+v48ePm46vW7cuom8SnTRpkr7++mvTsdTUVD311FNhmffKK6/Uxx9/rO7du+vYsWOlxufMmaPY2Fht2rRJq1atMr1GrVq1tGTJEtWuXTssNZb0hz/8Qb/++qtiY2M1e/ZsVaxYMSLzelW0ejMQXu4JsqyIE7MsWG5Yg6PBCVkmkWfkGXlGnp2fU/IsGG7oCbKsiBOzzMtrcDQ4Icu83BNkWREnZlmw3LAGR4MTsiwUbugL8qyIE/PMy+twNLg9zwDA6apVq1bm+Jo1azRnzhxNmTJFhw4d8vm8gwcP6qabbtKXX36pRo0aWVxl+JW1DykoKNAvv/wS0f3q448/rh07dpiO1apVS8OGDYtYLYBTkW/RsX37dj3xxBM+x0eNGqXU1NQIVgQ4G1kWHWQZEDryqwj3moC7kG3Rwd4MsBZZFh1kGdwoNtoFALC3Y8eO6V//+teZ7+Pj4/X0009HsaLglfXJVwcPHoxYHf/+97/10EMP+RyfPHnyeTd7objmmmv00UcfKSUlxXT8rbfe0ldffWU6Vr16dS1evFh16tQJW33nmjlzpubOnStJGjFihK677rqIzOtV0e5Nf9ATZNlpTsqyYLlpDY6kaPemv8gz8uw08gy+RLs3w8lNPUGWFXFSlrEGR1a0e9Mf9ARZdpqTsixYblqDIynavRlubuoL8qyIk/KMdTiyot2bAIDQNWvWTM8//7y2bt2q0aNHKzk52edzDx48qL59+yonJyeCFVqjZs2aZY5Hcm83bdo0TZgwwXSsXLlymjFjRkQ/cRZwK6/kWyTt27dPt9xyi/bv32863r17d/3P//xPhKsC3I0ssx5ZBkSGV/KLe03AW7ySbZHE3gyIPLLMemQZ3IqDIgCUaebMmTpy5MiZ7x955BHVrVs3ihUFLy0tzefY4cOHwz5/QUGBXnrpJd18883Ky8szfc7TTz+tO+64I+y1tG/fXvPmzQvoL5EuvPBCLV68WPXq1QtjZWdt3br1zGmorVu31pgxYyIyrxfZqTfLQk8UIcvOckKWhcJNa3Ak2Kk3z4c8K0KenUWe4Vx26s1wcVNPkGVnOSHLWIMjx069WRZ6oghZdpYTsiwUblqDI8FOvRlObuoL8uwsJ+QZ63Dk2Kk3AQDWqFixokaNGqU1a9aobdu2Pp+3du1a/elPf4pgZdYoa18nRWZvl5ubq5EjR+ruu+82HY+JidEbb7yhjh07hr0WwEvcnm+Rsnr1arVt21bfffed6XizZs00d+5cxcXFRbgywBvIMmuQZUDkuT2/uNcEvMnt2RYp7M2A6CLLrEGWwc3io10AAPvKy8vT+PHjz3zfsGFDjRo1KooVhaask7POfSNsML744guNHj1aTZo0UYMGDVSjRg1VqlRJubm52rlzpz755BO98cYbWrt2renrU1JSNGnSJN15550h1RGIzp0764MPPtAtt9yikydPlvncqlWratGiRWrYsGFEaissLNSAAQN05MgRlS9fXm+99Zbi41myguHE3jRDT5xFlhVn5ywLhdvW4FA5sTd9Ic/OIs+KI8+8wYm9aTW39QRZVpyds4w12DpO7E0z9MRZZFlxds6yULhtDQ6VE3szHNzWF+RZcXbOM9Zh6zixNwEA1qlfv76WLVumu+++WzNmzDB9zl/+8hcNHTpUNWrUiHB1wStrXyeFvrebN2+eEhIS1LhxY9WvX1/Vq1dXhQoVdOzYMW3btk3z58/X66+/rq1bt5q+Pj09XTNnztQNN9wQUh0AfHNrvlnh/vvvV2Zmpho2bKhLLrlEVatWVVxcnLKzs7Vq1Sq9/fbbmjt3rgzDMH19v3799Prrr5/3H0oCCB1Z5htZBtibW/OLe03A29yabVZgbwY4B1nmG1kGr+MdNwB8OvcvI+Li4jR16lQlJiZGt6gQFBYW+hwL9Q2IGzduDOrTruLi4tS7d2+NGTNGjRo1CqmGYHTv3l2zZ89W3759fT4nISFBCxcuVOPGjSNW19ixY7V8+XJJ0ksvvaT69etHbG63cWpvlkRPnEWWlWbXLAuF29bgUDm1N82QZ2eRZ6WRZ+7n1N60ktt6giwrza5ZxhpsHaf2Zkn0xFlkWWl2zbJQuG0NDpVTe9NqbusL8qw0u+YZ67B1nNqbAADrxMfHa/r06apQoYJeeeWVUuMnT57Uyy+/rHHjxkWhuuCUta+TQt/bfffddz4/MawsSUlJuuOOOzR69GjPvckWiAY35psVXn755aBe17RpUz322GO6/fbbLa4IQFnIMnNkGWB/bswv7jUBuDHbrMDeDHAWsswcWQav46AIAKb2799f7JPDxowZo2uvvTaKFYUuJyfH51hKSkpI1+7UqZNuuukmrV69Wj/99JM2bNigEydOmD63UqVKuvrqq3Xttdeqf//+uvjii0OaOxR5eXl68803/XrOiy++GJGavvnmmzNvarz11lt11113RWRet3Jqb56LniiOLCvNjlkWCjeuwaFyam+WRJ4VR56VRp65n1N70ypu7AmyrDQ7ZhlrsLWc2pvnoieKI8tKs2OWhcKNa3ConNqbVnJjX5Bnpdkxz1iHreXU3gQAWG/ixInavHmz5s+fX2rs73//u55//nnFxMREobLAlbWvk0Lf2912221q3ry5vv32W/3888/65ZdflJeXZ/rcjIwMtW3bVu3atdMdd9yhqlWrhjQ3gMC5Kd+sMGPGDK1evVpr1qzRunXrtGfPHtPnxcXFqVmzZrr22mt18803q0uXLhGuFMC5yLLiyDLAOdyUX9xrAjjNTdlmBfZmgDORZcWRZfA6DooAYOrBBx/UgQMHJBV94tTIkSOjXFHoDh065HOsWrVqIV27Vq1aevDBB4s9tm/fPu3Zs0fHjh1TXFycKleufObLDputU6dOqW/fvvr444/P+9yJEycqPj5e48ePD2tNJ06cUP/+/XXq1CnVqFFDb7zxRljn8wIn9ua56InSyLLi7JhloXLjGhwqJ/ZmSeRZaeRZceSZNzixN63kxp4gy4qzY5axBlvPib15LnqiNLKsODtmWajcuAaHyom9aTU39gV5Vpwd84x12HpO7E0AQHjExsbqrbfeUqNGjbR79+5iYzt37tTatWuVmZkZpeoCU9a+Tgp9b9eoUSONGDHizPeGYSg7O1vZ2dk6ceKEypUrd2btrFSpUkhzAQidm/LNCgMHDtTAgQPPfH/ixAnt2rVLhw8f1qlTp1ShQgVVrlxZVapUUUJCQhQrBXAusqw4sgxwDjflF/eaAE5zU7ZZgb0Z4ExkWXFkGbyOgyIAlDJv3jzNmjVLklSnTh3Nnj3b8W8cMwxDv/76q8/xcHxqUnp6utLT0y2/rhXy8/PVr18/zZs3z+/XTJgwQeXKldNzzz0XtroeeughbdiwQTExMZoxY4YuuOCCsM3lZXbuzZLoieLIsuLsmmWhcOMaHC527k0z5Flx5Flx5Jm32bk3reTGniDLirNrlrEGR4ade7MkeqI4sqw4u2ZZKNy4BoeLnXvTam7sC/KsOLvmGetwZNi5NwEA4VWxYkVNnDhR/fr1KzW2cuVKx7wpdMeOHWWOW723i4mJUbVq1UL+R0EAwsct+RYOKSkpqlevXrTLAOAHssw3sgywN7fkF/eaAM7llmwLB/ZmgHOQZb6RZfCa2GgXAMBedu7cqd///veSpAsuuEBZWVmqUqVKlKsK3Y4dO5SXl+dzvFGjRhGsJroKCgrUv39/vf/++6bjlStXVny8+TlCY8eO1VNPPRWWuj766CNNmTJFkvTwww+rc+fOYZkHzkFPlEaWnWXXLAuFW9dgkGdmyLOzyDN4gVt7giw7y65ZxhqMkuiJ0siys+yaZaFw6xqM0Li1L8izs+yaZ6zDAABExm233aYmTZqUenzTpk1RqCY4ZdVauXJl/pEN4FFuyDcAIMsAOJUb8ot7TQAluSHbAIAsAyBxUASAc5w6dUr9+vXT/v37lZCQoA8++EANGzaMdlmW+Pbbb32OpaSkqGnTphGsJnoKCws1cOBAzZ0713S8cuXKWrRokebMmePzjaLPPPOMnn76actru+uuu87894QJExQTExPU1+DBg02v7+v5sC96ojSyrIidsyxYbl6DQZ6ZIc+KkGfwAjf3BFlWxM5ZxhqMkuiJ0siyInbOsmC5eQ1G8NzcF+RZETvnGeswAACRc99995V67MCBA1GoJDhl7e1at24dwUoA2I3T8w0AJLIMgHM5Pb+41wRgxunZBgASWQaAgyIAnGPYsGH64osvFBsbq5kzZ6pdu3bRLskyX331lc+xa665RnFxcRGsJjoKCws1ePBg/f3vfzcdr1ixoj755BO1aNFCffr00axZs3z+XkaNGqWxY8daWl92dral14Pz0ROlkWX2z7JguXkNBnlmhjwjz+Adbu4Jssz+WcYajJLoidLIMvtnWbDcvAYjeG7uC/LM/nnGOgwAQOT07Nmz1GOFhYVRqCQ4Ze3t2rdvH8FKANiN0/MNACSyDIBzOT2/uNcEYMbp2QYAElkGgIMiAPx/kyZN0pQpUyRJr7zyim677bYoV2St+fPn+xzr1atXBCuJDsMwNGTIEM2cOdN0vEKFClqwYIFatWp15rF+/fppxowZio01XypGjhyp8ePHh6VeAObIMndmmdvXYMAMeUaewRvc3hNkmTuzDPAassydWeb2NRjBcXtfkGfuzDMAABCc6tWrq27dusUeS0tLi1I1gdm7d69WrVrlc9wLezsAvjk53wDgNLIMgFM5Ob+41wTgi5OzDQBOI8sAcFAEAH344Ye6//77JUljxozR0KFDo1yRtdatW6e1a9eajpUrV069e/eOcEWRZRiG/vjHP2ratGmm46mpqcrKytKVV15Zaqx///7629/+ppiYGNPXPvroo5o4caKV5QLwgSxzZ5a5fQ0GzJBn5Bm8we09QZa5M8sAryHL3Jllbl+DERy39wV55s48AwAAoalTp06x72vXrh2lSgLz3nvv+fyks8zMTDVp0iTCFQGwG6fmGwCciywD4FROzS/uNQGUxanZBgDnIssAb+OgCMDjvvrqK/Xr108FBQW6//779dRTT0W7JMud/pQ0M71799aFF14YwWoib/jw4T5/B+XLl9fHH3+stm3b+nz9oEGD9MYbb/h8o+iDDz6ov/71r5bUCsA3ssx9WeaFNRgwQ56RZ3A/L/QEWea+LAO8iCxzX5Z5YQ1G4LzQF+SZ+/IMAACELj09vdj3TZs2jVIlgXn99dd9jt17770RrASAXTk13wDgXGQZAKdyan5xrwmgLE7NNgA4F1kGeBsHRQAetnbtWvXo0UMnTpzQoEGD9OKLL0a7JMvt3btXU6dONR2LjY3ViBEjIlxRZJX1Bs7k5GR9+OGHuu666857nbvuukuTJ0/2+UbRYcOG6bXXXgupVsMwLPl68803A7o+7IueOIssc06W+csLazDOIs/OIs/IM7ifF3qCLHNOlrEGoyR64iyyzDlZ5i8vrMEInBf6gjxzTp6xDgMAEFk5OTln/jspKanMg6PsIisrS999953pWI0aNTRw4MAIVwTAjpyYbwBQElkGwKmcmF/cawI4HydmGwCURJYB3sZBEYBHbdq0Sd26ddPBgwf1m9/8RtOmTfP5BkAnGzNmjI4dO2Y61r9/fzVr1izCFUXOo48+qokTJ5qOJSUlad68eerYsaPf1/uf//kfvfLKKz7Hhw4d6vMNuQBCQ5ZNNB1zapZ5ZQ0GzJBnE03HyDO4hVd6giybaDrm1CwDvIosm2g65tQs88oajMB4pS/Is4mmY07NMwAAYJ09e/ac+e8ePXooOTk5itWcX0FBgR577DGf408//bTtfwYAkeG0fAMAM2QZAKdyWn5xrwnAH07LNgAwQ5YB3sZBEYAHbdu2TZ06ddKuXbvUtWtXzZkzR3FxcdEuy3LLly/X5MmTTcfS09M1YcKECFcUOY8//rjGjx9vOpaYmKh//vOf6tKlS8DXvffee31+6pxhGBoyZIimT58e8HUB+EaWuSvLvLIGA2bIM/IM7uaVniDL3JVlgFeRZe7KMq+swQiMV/qCPHNXngEAAOvk5uZqzZo1Z74fOnRoFKvxz7hx44rVfK727dtr8ODBEa4IgB05Md8AoCSyDIBTOTG/uNcEcD5OzDYAKIksA8BBEYDH7NixQ506ddL27dt13XXX6YMPPlBiYmJI1xw3bpwWLlxoUYXW2L17t26//XYVFhaajk+ZMkUZGRkRrioyRo8ereeee850LCEhQe+99566desW9PUfeOABn29ANQxDd911l2bPnh309QGcRZa5K8u8sgYDZsgz8ux8yDNn80pPkGXuyjLAq8gyd2WZV9ZgBMYrfUGeuSvPAACAtZYsWaKcnBxJUteuXdW5c+coV1S2ZcuWafTo0aZjlSpV0t/+9jfFxMREtigAtuS0fAMAM2QZAKdyWn5xrwnAH07LNgAwQ5YB4KAIwEO2bdum9u3ba/PmzWrTpo3mz5+vlJSUkK45ZcoUjRgxQlWqVPHr+b7etGmlI0eOqGfPntqxY4fp+OOPP65bb701qGsbhhHQ45H27LPPasyYMaZj5cqV09y5c3XjjTeGPM///u//auzYsaZjhYWFuvPOOzVnzpyQ54H/7N6bbkOWhZcbs8wOa7AT2L033Yg8Cy/yzD/kmbPZoSfIsvByY5bBP3bvTbchy8LLjVlmhzXYCezem1azQ1+QZ+HlxjyDf+zemwAAe/nzn/8sSYqPj9eLL74Y9HUisbdbu3atbr31Vp06darUWFxcnN5++21deumlQV2b9RNwH6vyze7KyikyDHA+sowsA5yKe80i3GsC7sLejPwC3IAsI8sADooAPGLr1q3q0KGDtmzZolatWmnBggVKS0sL+nqFhYV64YUXNHToUDVp0kQtWrTw63UnT54Mek5/7Nu3T126dNGqVatMx++55x4988wzQV8/Ly8voMcj6S9/+YueeOIJ07H4+HjNmTNHvXr1smy+ESNG6OmnnzYdKygo0IABA/Tee+9ZNp8T+OrvSPSHnXvTjciy8HFjltllDfYXWeYt5Fn4kGfnR545n116giwLHzdmmdOQZd5BloWPG7PMLmuwv8iyyLBLX5Bn4ePGPHMa8gwAIEn5+fmlHovEP3Lx17/+9S8tXbpUkvTQQw+pcePGQV8r3Hu71atXq2PHjjpw4ECpsdjYWE2bNk3dunUL+vqsn0BgvJRv/igrA8OdI2VdnwwDykaWFUeWAc7hpfziXhPwDi9lmz/YmwHORJYVR5YB9hQf7QIAhN+GDRvUuXNn7dy5U1dddZWysrJUqVIlv15rGIYKCgqUm5urw4cP69dff9Xnn3+u6dOna+3atZKkO+64w+9aDh48GMyP4JdvvvlGffr00bZt20zHH3jgAb3wwguKiYkJeo4TJ06YPn7s2LGgr2mVevXqKT4+vtQmNC4uTrNnz1bv3r0tn/PJJ59Ufn6+6ZtFU1NTdckll1g+p50dP348oMetZOfedCOyLHzclmV2WoP9RZZ5C3kWPuTZWeTZWXboTavYqSfIsvBxW5Y5EVnmHWRZ+Lgty+y0BvuLLAs/O/UFeRY+bsszJyLPAACSTD+N1Io3IBYWFmrZsmXas2ePrrjiCjVo0CDga2zYsEGDBg2SJPXo0UPPPfdcSDWFc283Y8YM/fGPf1ROTk6pscTERM2YMUO33XZbSHOwfgKB8VK++aOsfX647wF85ZdUlGGJiYlhnR9wMrKsOLIMcA4v5Rf3moB3eCnb/MHeDHAmsqw4sgywJw6KAFzuhx9+0PXXX6/s7GxJ0ldffaXKlStbdv2YmBj179/f7+f7egNnKA4fPqxnnnlGEydOVEFBQanx1NRUTZkyRbfffnvIc+3Zs8f08R07doR87VD16tVLs2fPVv/+/c/8HmJjYy35S62yjBkzRqdOndLYsWPPPJaamqqsrCy1bNkybPPa0X//+1/Tx3ft2hX2ue3cm25EloWPm7LMbmuwv8gybyHPwoc88x955jx26wmyLHzclGVORZZ5B1kWPm7KMrutwf4iy8LLbn1BnoWPm/LMqcgzAIAkHT16tNRjR44cCemaOTk56tKli7788ktJZ/dgEydOVJUqVfy6xtq1a3XjjTfq8OHDatasmd5++23FxcUFXVNBQYF27twZ9Ot92bhxox544AHNnz/fdLxu3bqaO3eurrjiipDnYv0EAuOVfPOXr/2/FP57AF/5JRVlmL+/O8CLyLLiyDLAObySX9xrAt7ilWzzF3szwJnIsuLIMsCmDACutWLFCqNy5cqGpLB9dejQwe96jh8/blSoUMH0OldeeaVx8uTJgH6+n3/+2fi///s/o2LFij7ru/XWW43NmzcH+qszlZeXZ6SmpprOk5CQYBw/ftySeUI1ffp0IyYmxoiNjTVmzJgRsXkfeeQRQ5KRkpJiLFu2LGLzlvTmm2+a/j8Kt+3bt/vsw3r16oV1bqf0ZrRY3RNkWWQ4Pcvstgb7iyyzN/KsOKf0DHlGntm1N4Nlt54gyyLD6VkWKu4z7dub0cK+rDin9IvTs8xua7C/yLLwsltfkGeR4fQ8CxV7M/v2JgB4hdne5PLLLw/pmm+99ZZpzlerVs34xz/+UeZrCwoKjGnTpp2pq1u3bsahQ4dCqscwDOPzzz/3ufY99NBDRmFhod/XKiwsNJYsWWL079/fiIuLM71mYmKi8eijjxpHjhwJuXbDMIxdu3b5rL9mzZqWzAG4jVfyzV8zZ870mSN33313WOceMmSIz7mnTp0a1rkBpyPLiiPLAOfwSn5xrwl4i1eyzV/szQBnIsuKI8sAe4oXAFdasGCBbr31Vp04cSKs8wwYMMCv5xUWFmr48OE+T836+uuvlZaWpszMTDVp0kQNGzZU7dq1VbVqVSUnJysvL09HjhzRli1b9PPPP+uzzz7Txo0bTa8VFxenm2++WQ8//LCuvfbaoH+2kiZNmqRjx46ZjuXl5WnKlCl68MEHLZsvWIMGDVJOTo7KlSungQMHRmzeP//5z4qNjVWXLl3Url27iM1rFxMmTPA5tnHjRi1dulQdOnQIy9xO6U03IMsix8lZZrc1OBBkmXeQZ5FDnp0feeYcdusJsixynJxlTkaWeQNZFjlOzjK7rcGBIMvCx259QZ5FjpPzzMnIMwCAJP373//W4cOHSz2+du1a/fDDD7r88suDum5ycrLp43v27NFtt92mCRMmaMiQIerYsaNq1qypEydOaMeOHVqwYIFmzZqlH3/8UTExMXrwwQc1fvz4kD817PDhwxo2bJjP8RdeeEFTp05VixYtdNlll6l+/fqqWbOmLrjgAiUkJCgnJ0cHDhzQpk2btGbNGi1btkx79+41vVZaWpoGDhyohx9+WHXq1Amp7nONGzfO59jOnTv1wQcf6De/+Y1l8wFO55V889fJkyf1yiuv+Bz/4IMP9Pzzz4flUwq3bt2quXPn+hx/7bXXNGDAACUkJFg+N+B0ZFlxZBngHF7JL+41AW/xSrb5i70Z4ExkWXFkGWBj0T6pAoD13n//faNcuXI+T0my6ispKck4fPiwaQ1btmwx/vOf/xhff/21MW3aNKNNmzZhrSUuLs649tprjXHjxhnbtm2z9Pe5e/duY+TIkT5PGz39FRsbazz++OPG7t27LZ0fgYn0p4lt2bKlzFPJTn9VqFDBmDx5smWn0hoGvemvUHqCLEOg7LAGB4MscwbyrAg9ExnkWeDc3pt26AmyDNHCfSa9WRL7siL0S2TYYQ0OBlkWXnboC/IM0cLejN4EgEg7evSosW7dOuPll1820tLSfOZxRkaGMXXqVGPDhg3G8ePHA5ojLy/PaNasWdB7pdatWxsrV64M6ucrKCgw/vOf/xg///yz8fnnnxvjxo0zatSoEda9XUpKitGrVy/jb3/7m6Vrp2EUrd333HOPX3vdF154wTh48KCl8wNO4vZ8C0ZhYaHx9ddfG+3atTtvbY0aNTLmz59v5OXlWTL3yZMnjffee8+oXbv2eedu166d8fXXXwf0iduAW5FlpZFlgDO4Pb+41zxo6fyAU7g924LB3gxwHrKsNLIMsL8YwzAMAXCVO++8UzNmzAj7PH379vV5GlPz5s21Zs0ay+aKj49XcnKykpKSVKVKFdWsWVO1atVS48aN1bJlS11xxRWqWLGiZfN169ZNv/76qw4dOqT//ve/Kiws9Pu1MTExqlGjxpl61q5da1ldOL/p06dr8ODBpR63crlr2rSpDMPQgQMHtHv37oBeGxcXp5o1ayo1NVWtW7fWm2++GdDr6c3AhdITZJn3+iVUdliD/UWWOQ95Rs9EEnnmHy/1ph16gixzTr+4DfeZvnm1N9mX0S+RZIc12F9kWeTYoS/IM2f1jJuwN/ON3gQAa82cOVODBg0K6RpLly5V+/bt/Xru6U8KW7Zsmd/Xb9eunYYNG6bevXsrJiYmqBoPHTqkypUrB/VaXxISEpScnKyUlBRlZGSoZs2auvjii3X55ZerZcuWuvzyyy39VC+r1u4aNWpowYIFltUF2JVX8s1fq1at0uDBg5Wfn689e/bo0KFDAb0+OTlZ1atXV1JSkoYOHaqhQ4f6/dpXX31Vr776qnJzc7Vr1y7l5OQENHelSpVUrVo1xcfH69lnn1WvXr0Cej3gZGRZcWQZ4BxeyS/uNbnXhLd4Jdv8xd4McCayrDiyDHAWDooAABMbNmxQXl6eJddq2rSpJdeBfVj15sry5curTp06Ab2G3kQg6BeUhSyDk9AzKAt5BqegX1AWsgxOQb+gLGQZnISeQVnIMwCAVPSPWnbu3BnSNerUqaPy5csH9JoFCxbo/fff1+rVq7V161YdPXpUhmGoQoUKqlGjhpo2baprrrlGN910k2rXrh1SfW5h1dqdkJCgBg0aWHItwM7It+KOHz+uLVu2WHKtjIwMZWRk+P387OxsZWdnWzJ3zZo1ValSJUuuBTgBWVYcWQY4B/nlHNxrAv4j24pjbwY4E1lWHFkGOAsHRQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADhEbLQLAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgH84KAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMAhOCgCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAITgoAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwCE4KAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMAhOCgCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAITgoAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwCE4KAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMAhOCgCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAITgoAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwCE4KAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMAhOCgCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAITgoAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwCE4KAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMAhOCgCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAITgoAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwCE4KAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMAhOCgCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAITgoAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwCE4KAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMAhOCgCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAITgoAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwCE4KAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMAhOCgCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAITgoAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwCE4KAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMAhOCgCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAITgoAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwCE4KAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMAhOCgCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAITgoAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwCE4KAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMAhOCgCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAITgoAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwCE4KAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMAhOCgCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAITgoAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwCE4KAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMAhOCgCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAITgoAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwCE4KAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMAhOCgCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAIf4fJ92XHSHUrJoAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 4200x1400 with 4 Axes>"
      ]
     },
     "execution_count": 25,
     "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
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}