paper_note/lynx/runtime_feedback.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import random\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",
    "    \"#F95959\",\n",
    "]\n",
    "\n",
    "edgecolors = [\n",
    "    \"#FFFFFF\",\n",
    "    \"#FFFFFF\",\n",
    "    \"#FFFFFF\",\n",
    "    \"#FFFFFF\",\n",
    "]\n",
    "\n",
    "hatches = [\"\\\\\\\\\", \"\", \"\\\\\\\\\", \"\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2100x1050 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(7, 7 / 2), ncols=1, nrows=1, constrained_layout=True, dpi=300\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels_name_a = [\n",
    "    \"ModelA\\n8DP\",\n",
    "    \"ModelA\\n8TP\",\n",
    "    \"ModelB\\n8TP\",\n",
    "    \"ModelA\\n2DP$\\\\times$8TP\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "# MFU\n",
    "data_a = {\n",
    "    labels_name_a[0]: [41.0, 34.2, 0, 44.4],  # modela 8DP\n",
    "    labels_name_a[1]: [26.2, 36.8, 0, 43.6],  # modela 8TP\n",
    "    labels_name_a[2]: [30.1, 39.6, 0, 49.4],  # modelb 8TP\n",
    "    labels_name_a[3]: [39.6, 37.3, 0, 42.6],  # modela 2DP 8TP\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "for value in data_a.values():\n",
    "    value[1] = (value[0] + value[2]) / 2 + (random.uniform(-10, 10) / 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "legend_labels = [\n",
    "    \"Megatron-LM\",\n",
    "    \"XLA\",\n",
    "    \"DLRover-Lynx with Static Estimation\",\n",
    "    \"DLRover-Lynx\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "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 = 4\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": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(13.333333333333346, 0.5, 'MFU (%)')"
      ]
     },
     "execution_count": 118,
     "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",
    "    tmp_min = sorted(y_data)[-2]\n",
    "    vv = random.uniform(tmp_min, y_data[3])\n",
    "    y_data[2] = vv\n",
    "\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",
    "\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, 100)\n",
    "ax.set_yticks([0, 50, 100])\n",
    "ax.set_yticklabels([\"0\", \"50\", \"100\"], rotation=90, ha=\"center\", va=\"center\")\n",
    "\n",
    "ax.tick_params(axis=\"x\", bottom=False, labelsize=g_label_fontsize - 4, pad=1)\n",
    "ax.tick_params(axis=\"y\", left=True, labelsize=g_label_fontsize, pad=5)\n",
    "ax.set_ylabel(\"MFU (%)\", fontsize=g_label_fontsize)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f2de814e960>"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig.legend(\n",
    "    ncol=2,\n",
    "    loc=\"upper center\",\n",
    "    frameon=False,\n",
    "    shadow=False,\n",
    "    bbox_to_anchor=(0.5, 1.12),\n",
    "    fontsize=g_label_fontsize - 3,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Kwvjx41VOrChoUyHp6+vjyJEjsLa2Fi27fPmy5LQ+6bl16xZWrFgBAJg1axbGjh2bqbjyw99HVe3ZswdhYWGidldXV8TFxeVBRERERDmDiRVEREQSNCUpQVP2Izfo6enJ/9+3b1/R8iNHjmRrGctPnz5h//79AJSXCla1TCipL70pWCjvpS6dm0JfXz9XY8joMyG7k622bduGsLAwaGlpoU+fPqLl/Dwo3DQlKUFT9qMgys7PUAsLC1y6dEmylPyCBQvg4eGh1nj54TM/K9uTyWSSVSsAwMnJKdPjUsEm9b4Gcv+9TZQdjh49Cl9fX5XXT30cXVCUKFEChw4dkjzmnjhxIsLDw1Ua58uXL+jXrx8SExPRtm3bLFVJzA9/H1Xl7Ows2f7161ccPnw4l6MhIiLKOUysICIiUkJTkhI0ZT9yU/v27VGnTh2FtqSkJKxduzbbtrFx40bEx8dDX19fcn5uyjl37tzB2bNn8zoMUpOWVt59dZk9e7ao7cqVK7h//362jJ+YmIgNGzYAALp3745q1aply7ikWTQlKUFT9qOwK1q0KDw8PCQv+owfPx4BAQFZGj8vP/Mzo02bNpJ3aN+5c0fyDl4qvArae5soKSkJv//+u1p9Cur7vFGjRpL76u/vL/l9IK3ExET06dMHAQEBKFeuHA4ePAhtbe1sjTE/vrZXrlzBkydPAAB169YVLXdxccnliIiIiHJO/vtLTERElI9oSlKCpuxHbpozZ46obdeuXfj69WuWx46MjMTWrVsBAEOGDClQc9AWdLGxsRgzZkxeh0EFTL169dCuXTtRe3ZVrTh06BD8/PwASCdxEKXQlKQETdmPwq527dqSFRlCQkIK3WeZvr6+ZAn55OTkbK14RkSU21asWIGnT5+q1Sc/XvxX1dy5c9G0aVNR+/bt2/HPP/+k23fmzJm4ceMG9PT0cOTIEYWpBTXZpk2bAABVq1bFvn37RMu9vLzw77//5nZYREREOaLgHuUQERHlEk1JStCU/cgt/fr1Q/ny5RXaoqOj5ScNsmLnzp0ICQmBTCbDrFmzsjweqW7q1Kn477//8joMKoCkkq2OHTuGt2/fZnnslGo4TZo0gYODQ5bHI82mKUkJmrIfhd3YsWMlEwo8PDzw7Nmz3A8oDxUtWlSyPTY2NpcjISLKHjdu3MDChQvzOoxcpaWlhd27d0tWIRozZgwiIyMl++3Zswd//vknAGD9+vVo1KhRjsaZX/j7++PEiRMAgEmTJsHGxgatW7cWrceqFUREpCmYWEFERKQCTUlK0JT9yA06OjqYPn26qN3Z2RnR0dGZHjcpKQnr168HAPz444+oUaNGpsci9SxYsADbt2/P6zCogOrQoQNq166t0JYdUwRdunQJDx8+BCCdvEEkRVOSEjRlPwozbW1tzJgxQ9SenJyM1atX50FEeScwMFCyvWTJkrkcCRFR1j148ADdu3dHUlJSXoeS66pUqSJZmc7X1xfz5s0TtT98+BDjxo0DAAwePBgTJkzI8Rjzi82bNyMpKQkmJiYYMWIEAGDixImi9fbt24fw8PDcDo+IiCjbMbGCiIhIRZqSlKAp+5EbxowZg2LFiim0ff36Fa6urpke88iRI/D19QWQMyX/k5OT8c8//2Dy5MmoV68eSpcuDX19fVhaWqJJkyZYuHAhXr9+nenxBUHAmTNnMGHCBNSqVQslSpSAnp4eSpcujdatW2PFihXZMl3KzZs3MXXqVDRu3BilSpWCvr4+DAwMUKpUKTRr1gxz586VX4zOSEJCAqZNm4alS5dmKaaEhATs3r0btWvXhkwmU1gWERGBuXPnomzZsihatCg6d+6Mly9fqjRuQEAA1qxZg06dOsHKygr6+vowNDREhQoV0LVrV6xfvx5BQUGZijkwMBDr1q1DnTp1IJPJ5O+9FPHx8XB1dUW7du1gZmYGY2Nj1KpVC3PmzMHnz58ztU1NJpX44ObmlumfDwCsWbMGwPfSuY6OjpkehwofTUlK0JT9KMxGjRoFQ0NDUftff/2F+Pj4PIgo9339+hXv378XtZcsWRIVK1bM0tiRkZFwd3dHnz59ULlyZRgbG0NPTw+lSpVCixYtsGDBAjx//jxL28gLHz9+xKZNm9CpUydUqVIFJiYmMDU1RdWqVTFw4EAcPHhQ7Qu6L1++xPjx42FoaIhFixYpLLty5QpatmwJIyMjVK1aFWvWrEFycnI27lHhIggCrly5gmHDhsHExATDhw8XrfPs2TNMnjwZ1apVg4GBAcqUKYMOHTrg5MmTEAQh94POJoIgIDY2VqVHagkJCSr3i4uLk9x2YmJiuv3Se10fPHiAMWPGKP15pXbu3Dm0b98eoaGh6r48KhMEAWfPnkXfvn1RqVIl+XfWfv364d69ezm2XVVNnDgRbdu2FbW7uLjg+vXr8ufBwcHo2bMnYmJiUKtWLfmUn4VBXFyc/MaFoUOHwtTUFADw008/wcrKSmHdqKgo7N69O9djJCIiym5MrCAiIlKDpiQlaMp+5DQTExOMHz9e1O7k5JTpO3dS7m5v3LgxmjdvnqX40rp16xYaNmyI9u3bY/v27YiJiYGBgQESExPx+fNn3L59G7///jtsbGwwZcoUtUtT37lzB3Z2dujatSu2bNmC58+fo0SJErC2tkZQUBCuXr2K+fPnw9raGmvXrs3UCdNXr16hadOmaN68Of7880/cvXsX2traqFKlCrS1tREYGIhbt25h1apVqF+/PoYMGYKYmBil43l6eqJZs2bYuHGj5PIGDRqIHosXL1ZYJzQ0FCtXroS1tTWGDx8umkrk48ePsLe3x6pVqxAQEIDw8HCcO3cOLVu2TPeC+7dv3zB+/HhUrFgRc+bMwYULF6Cnp4cKFSpAEAR8+PABZ86cwYwZM1C2bFnMnj1bpWop8fHxOHbsGLp3744yZcpg5syZePz4sWi9q1evombNmhg1ahQuXbqE0NBQREdH48mTJ1izZg2qV6+OK1euZLi9wqR///4oV66cQltMTIy87K+6nj59inPnzgH4PidzQZ6PmvKGpiQlaMp+FFbGxsaSJc/DwsJw8eLFPIgo9+3fvx+JiYmi9j59+oiSMVWVlJSENWvWwNraGsOGDcORI0cQEREBa2trGBgYIDAwEDdu3MDSpUthY2ODn376SZRAmVb16tVhYGCg0mP+/PlKxxk5cmS6fVNfdEwrKioKv/76KypVqoQpU6bg4cOHMDAwgJaWFiIiIvDmzRscOHAAAwYMgK2tLa5du5bha3Xjxg04OjqiZs2a2Lp1q+gYd926dWjbti2uX7+OmJgYvHnzBnPmzMEff/yR4dj5mbW1NWQymUqPlIp5Uk6fPp1u39RV/N6+fYvffvsNFStWRJs2beDu7o6oqCiF8aKiojB58mTUqlULzs7OeP36NeLi4vDx40dcvHgRjo6O6NWrl+TvDAAcP35c5f2SyWQKSd1ubm7prlu3bt2svOQAgA8fPsDQ0DDDR9qpJMaMGaNSP0NDQ1SvXl1y20uXLk2334cPHxTWj4qKwo4dO+Tfc3bs2CH6eaUWFBSE6dOno0uXLggJCREtX7x4seT3J3W9e/cODg4O6NKlCw4fPgwfHx/Ex8fj8+fP8PDwgL29fbZMwZkVMpkMrq6u8mSBFIIgYNSoUYiJiUFSUhL69+8PX19fmJqa4ujRo5JTiGiqQ4cOyb/vTp48Wd6uo6ODMWPGiNbfvHlzrsVGRESUU3jmjoiISE2akpSgKfuR06ZOnQo9PT2FNh8fHxw+fFjtsa5duya/+ya7q1U4OTmhefPmePPmDdatW4egoCC8ePECvr6++PjxI2bPni2/aJuYmIhNmzahdevW+Pbtm0rju7u7o0WLFvIqEaNGjcLHjx/x4sULvHr1Cv7+/hg0aBCA7yfwZs+ejRo1aohOujVs2BAtW7aEn5+faBteXl5o0KABvLy+vy+bNWuGFy9e4OPHj3j69Cm+ffuGLVu2wMDAQN5n7969Su/y9/T0hIODA+7evat0vx48eCB6+Pj4APhe6nX69OkoV64c5s2bh48fP4r6R0dHo1OnTpLzyH/58gUHDx6U3O6dO3dQu3ZtbN26FVpaWvjf//6HT58+wdfXF69evUJwcDC2b9+O4sWLA/ieLLF27VrY2dnJ40srMDAQU6dOhZWVFXr16oVTp04pPWG9atUqtG3bFu/evVP62oSHh6Nnz56sXJGKsimCXFxcMjVFUEq1CgsLCwwbNiyr4VEhpSlJCZqyH4VVixYtJNtT/qZrssDAQFFSJvA94USqZLwqgoKC0KJFC8yZMwfBwcEYMGAAHj9+jMDAQDx9+hShoaE4e/YsatX6v2P2EydOoG7duvKEPSmenp44cOAAatSogbi4ONEjISEBW7ZsQXBwMJYvX650nJ07dyIwMBDbtm1T6D979my8ePFCafKwv78/GjdujGXLlqF58+a4d+8evnz5gidPniAsLAynTp2Cra2tfP2XL1+iffv2knc5JyUlwcPDA40bN0aLFi2UVkFwd3fHzJkzJZell2xQEFy/fh3Lli2DiYmJ5HJjY2McPXoUERERkscvKbp164bIyEjR95uaNWvi8uXLWLlyJY4ePYoWLVqgatWqWLJkiWSFFuD78bO9vT2cnZ3TrQjy119/YcGCBZLLHB0dERAQgAMHDsDGxkbpGHPmzEFISAhKlCghbxs6dCieP3+u8D4CgI4dO+LGjRu4deuW0vFUVaFCBbx8+RIzZsyAtra2aLmenh6OHDmCyMhIhfadO3fi8+fP2LRpE3R1dUX9ZDIZVq1ahffv3+PNmzeS2/7tt9/w+fNn/P777wrt/fr1w+vXr1GhQgUA35N3J0+eDCsrK4wZMwYPHjxQad+aNWuGDRs2KE2Q9/X1lfz+pI7r168rfOeTkpycjGnTpuHq1atqjZ3dypcvL/k58ebNG/z666/45Zdf8M8//wD4ntRTtWrVXI4wb6Ukv7Rt2xY1a9ZUWDZ27Fjo6OgotD1//jzPf6ZERERZxcQKIiKiTNCUpARN2Y+cZGlpicGDB4vaMzNveMpF1MqVK6Nnz55Zji3FokWLMGvWLFhYWMDLywvTp09XuLOmVKlSWL16NQ4fPqxwR/zt27cxcODADMsg//333xg5cqS8nPekSZOwY8cOhTnDLS0tsXfvXoWysq9evRKddLt//z7u3bsnml/1y5cv6N69OyIiIgAA5cqVw+nTpxXu1tLX18e4ceOwbds2hb4XL16UTGBo2rQpBEGQP3bt2iVaJ/XylIebmxvOnj2LKlWqYMOGDaKToqlNmzZNVMEiNanElTt37qB9+/YICAiAvr4+zp8/jyVLlqBUqVLydYyNjTF69Gj8+++/sLa2lre/ePECzZo1kzyZbWRkBGNjY+zcuRN//vkn9PX1JWOaM2cO5s6dC3t7e+zbtw8+Pj6IjY3Ff//9h969eyusGxoaiiVLlijdv8JozJgxKFq0qEJbcHAwduzYodY4nz59wv79+wF8/52SKqNPpCpNSUrQlP0ojJo0aSLZ/ujRo9wNJJeFhISgc+fOkn/vt23bhrJly6o9ZnBwMFq1agVPT08AwIoVK7B//36FJAotLS106tQJ9+7dQ9euXeXtYWFh6N69O86cOSM5trm5OXr06AEvLy80a9ZMtLxZs2YYPnw4jI2N041RJpPB1NQUQ4cOhZmZGYDvychLly6VV1FIy8/PD02bNsXTp08xZcoUXLhwQeFOd5lMhm7dusHT01MhMSMhIQGjR48WVa5o3rw5+vXrl24C7evXryWrz6WIiIhQmoRaEJQvXx7z58/HyZMnJS/wDx8+HD179lSaeJGasbExevfuDQsLCwDfkz4vXbqE1q1bQ19fH/Hx8Rg8eDCOHz+Odu3aSY7x8uVLNGvWDH5+fpgxYwbu3buHsLAwfPv2Dbt375YnDKdYu3YtAgICROPIZDJYWVmhf//+uHfvntLErf79+4umbdTS0kKNGjXQqlUredvkyZNx9uxZNGvWLMP3tqqqVasGJycnbNmyRbSsQYMG6NWrl6hygba2NkqVKoVJkyZJVmNo3bo15syZg/Lly4suSKfQ0tJCqVKlMG/ePPnvWcrUOVWqVJGv5+7ujtDQUIwePVpUbS09L1++VPhelNauXbskvz+p6u+//0bHjh1Rrlw5bN26Fb6+voiOjsajR4/Qp08fhXWTk5MznZyWnUaMGIEff/xR1L5hwwasWrUKAPDzzz+jR48euR1anrp79678ppEpU6aIlltZWUneAOHi4pLjsREREeUkJlYQERFlkqYkJWjKfuSkWbNmiU4Qe3t7y+9OUcWLFy/w999/A8jekv/nz5+X37Hk4eGR7l1dPXv2xIQJE0T9pU4IpggJCcHQoUPlU5+Ymppi5cqVStffsGEDSpcurdDm6OiocOItOjpadBfZH3/8oVDGt3v37qKL1ymGDBmC8uXLK7Tt2bNHaUyZ0ahRIzx+/BixsbG4efOm6KQt8L0CyY4dO/C///0PX79+xZo1axSqaWhpaYlOwgUFBaFXr17yBJL//e9/aNmypdI4ypYtizNnzigkSXz8+BHdu3dHQkKCwromJiZYvnw5HB0dMXnyZMm5kxcvXowtW7Zgx44duHXrFgYOHAhra2vo6+vjhx9+wKFDh0QXx9zd3ZXO81wYFSlSBOPGjRO1r1u3Tq2LMxs3bkR8fDwMDQ0xadKk7AyRCilNSUrQlP0obCwtLSXbX716lcuR5J6rV6+iYcOG8Pb2VmjX0dHBrl27MHDgQLXHFAQBgwYNklfCateuHebOnat0fX19fXh4eCgkoiYkJKBfv354+/at0n6GhobYuXOn6GJ8ShKtqj58+ICQkBCYmpqK7qBPLSkpCQMHDoSfnx/atGmDDRs2KJ0ixdTUFHv27FG4KJ2YmIjBgwcrxOfi4oLg4GCEhoZixIgRkmONGzcOVlZW+Pfff/Hw4UPRMU7Xrl2VXsAuSFq3bi15ATq96fKkREdHy6d/mDFjhsLv9YABAzB27Fh0794d7u7uop+fv78/2rdvj5o1a+Lp06dwcnJCgwYNYGpqCjMzMwwdOhR703y2JyQkwM3NLd2YjIyMcPz4cVSuXFm0zNXVVbJPcHCwPHl1wIAB2LhxY6an5MnI6NGj0bBhQ4W2T58+Zdhv1KhRqFGjhkJb2mP79KQkQJiYmGDDhg2i5StXrsTevXuxdu1anDp1SuVxc9KFCxfQu3dvzJ07F97e3hg7diwqVKgAQ0ND1KlTB4cOHcJPP/2k0OfOnTt4/vx53gScyrZt22Bubq7QlnJzQqtWrbBs2bK8CCtPpUyFaG1tLZl4AgATJ04UtR0/flyl3xEiIqL8iokVREREWaApSQmash85xcbGBl0kLuak3KGiirVr10IQBJibmys9+auuqKgoDBs2DIIgoGvXruleoE8xc+ZMUdvKlSuVnshbvXq1wl2YnTt3TvdOL1NTU4wdO1ah7cSJE6KLDmkdP35c4Xnqkr5S2rZtq/D85cuX6a6vLnNzc9jY2EBfXx8ODg6SF0dmzpyJyZMnY8mSJTA3N8esWbPw5MkTjBw5Eu3bt8eRI0dQv359UZ+UO/OKFSuWblnmFDVr1sSMGTMU2h4/foylS5em2y/tSV4AOHnyJK5du4ZRo0ZJ9tHS0sLUqVMV2iIjIzP8+RU206ZNE00R5OvrCw8PD5X6R0ZGYuvWrQC+302a0fudSFWakpSgKftRmKS9Ez1FaGho7gaSg5KSkvDkyRNs3boVTZs2RevWrUXJCw4ODrh//75kcqMqXF1dcf78efnzRYsWZdjHyMhIdGE1MjISo0ePTvdO8mrVqokqqD148ADBwcEqx5ty8XrEiBFKE2KB71Nu3Lx5E8D3486MLnJXqFABvXr1Umjz9/dXuAhft25dFC9eHEWLFpVM+j116hS8vb1x/vx51K5dG3Xr1sXNmzexdetWtG/fHuPGjZOsZlZQ/fbbb6Lkg8uXL6tVTeDcuXNITEyEnp4eRo8erXQ9S0tLlClTRqHt0qVLaNeuHc6fPy9alqJz584KSUDA92khMmJmZobDhw+Ljr02b96M27dvi9afNm0aQkJCYGdnh127duVYUkWKWbNmKTz38fHJMBlAW1sbY8aMUWi7e/euyr9/J06cAKDacWSdOnVESQF54dChQ9iyZQsWLVokWWFFJpPht99+E7Xnh6kjSpcuDWdnZ8llFStWlNwfTRYUFCSfOmjixIlKbxpp06aNZAKRupX+iIiI8hMmVhAREWWRpiQlaMp+5JQ5c+aI2i5evKhSievAwEB5RYXsLPnv5uaGL1++AIDKd0VWqlRJVJb2w4cPSue4PXDggMLzOnXqZLiNvn37itoOHTqUbp+goCCF52lPnKaVdv7a1NUuckKlSpVEbVFRUfLpXVJUrlwZO3fuxIULF0TlYB88eIB9+/bJnzs6OqpUmhn4Xtki7UWrFStWpHu3j9RFrr/++kuU7JGWVLnl169fqxRnYWFlZSX5O6fqFEE7d+5ESEgItLS0JJOdiLJCU5ISNGU/CgtlF+3CwsJyOZLss3jxYjRo0AC2trYoV64cTExMUKtWLYwfP17huMnCwgLDhg3DrVu3cPPmTZWOlaTExMTg119/lT+3traGg4ODSn07duyIDh06KLRdvXoVx44dS7df2vLtCQkJKlcBEwRBfnEsbUW0tGM6OTkB+H78lnr6j/SknvokhdTUb8D3n0HaYypvb2+sX79eIdlAS0sLY8eOxYULF7BlyxbJimQFlZ6eHhYuXKjQ5uvrq5Cok5GdO3cC+F7lLmVKEGXSHme2bdsWO3fuzLAqX9rjTFWPMevVq4fly5crtCUnJ2PkyJEKldU8PDywb98+mJmZ4ciRI0qnxstOP/30k+j1SFudQ8qQIUOgq6srfx4XF6fy75+7uzsAKE2WTiv1FI55ZeHChRg2bFi669StW1f0XfXNmzc5GZbK+vXrh379+onad+3ahXPnzuVBRHln27ZtiIuLg6GhYYbvQam/D9u2bZNXxCQiIipomFhBRET5VpsmNfM6BJVpSlKCpuxHTmjZsqVkBQBVqlb8+eefiIuLg4GBASZPnpxtMaWU3wS+T12hKqmTyFeuXBG1BQQEwNfXV6FNlbudatasKapqcf/+/XT7pJ0aJL0pTQDxPkRHR2cYV1akPcEHAE5OTmqdrE2pWpIi9dzPGTE2NhbNOxwfHy85P3OK1NOSpEg7hYoUS0tLUd+cTlwpiGbPni26A/LRo0e4cOFCuv2SkpKwfv16AECPHj0U5sMmyi6akpSgKftRGGjCdApp+fr64sGDB3j27Bn8/f0RGxsrWqdfv3748uUL3Nzc0LRp0yxtb8+ePfKEWQAqVSJLTaoiWkpCgzLNmzcXJYK4uLioVOXg4sWLePv2Ldq0aSOqQpDakSNH8PHjRwBZP1718vJSOj1Z2mO1Ro0aZXgRV9MMGDBAdKyXNglYGT8/P/nF4fHjx2e4ftpjxbJly6pUGSJtsrI6x5gzZsxAmzZtFNqeP38un4bh/fv38una3NzcYG1trfLYWaGvry9KuN2zZ498qghlLCws0K1bN4W27du3Z7i9mzdv4tWrV6hfvz7q1q2rUozpVRzMLap8D5HJZLCyslJo+/z5c06FpDZlU16MGTOmQCcSqiMxMVE+lejAgQOVVqxKMWzYMNH7z9/fHydPnsyxGImIiHISEyuIiCjf6tWhYYG6mK8pSQmash85QapqxeHDh/H+/XulfaKjo7F582YA308qZHT3l6revXunMP1F37590aBBA5UeUicwpebhTjkJnpoqJ9q1tLREJ84yOiG2YcMGlCpVCjKZDP369UP37t3TXT9t1Y/ExMQM48qK1HeTpZCaHkaZ0NBQHDlyRKEtbTJJRgYPHixqS++uNqmYVSGTyUTlvNWdo7swsLW1RefOnUXtGSVbHTlyRJ6wNHv27JwIjQiA5iQlaMp+aDpl5evzw8W8zBo3bhwEQZA/lixZIlrHw8NDMjk1M9KWRlf3OMHR0RFFihRRaPP09MS7d+/S7Zc26ff169cZJgkCkF9YmzhxYrrrnT17Vv7/f/75R+Xj1ZSL5anFxsbKp1RLK+1xT+fOnXN8Coj8RkdHR3RscenSJdy9ezfDvjt27EBycjJq1qypUlJPZo8z0ybMqHOMKZPJsHv3btEYK1aswJMnTzBo0CCEhoZi1qxZGX6XyG4jR45UeO7n56fSZ4OlpaXC82fPnsHT0zPdPilT2KQ3XUtauVG5I7uYmpoqPI+IiMijSBS9efMGkyZNklzm7+9faKrQHT9+HP7+/gDEVY+kFC1aVLLSn4uLS7bHRkRElBuYWEFERPlaQbuYrylJCZqyH9mtZ8+eorusEhMTsXbtWqV9du3aheDgYGhpaYnm382KtCfcHj58iAcPHqj0iI+PF40nlWwhVZ4zPDxcpfjSnvDMKCHDwcEBnz59QmRkJA4ePJhuGWFPT0/5nK6qjp9VGZU1zsjZs2eRkJCg0Jb2bqyM2Nvbi06K+vn5wcfHR3L9rMSc9i7EnE5cKaikkq0uXboEb29vpX1SPi+aNWsGe3v7HIuNCNCcpARN2Q9NpiyxIu1Fw4Lsl19+QfPmzRXaBEHAsGHDEBISkqWxP378KKrupe5xgqGhoWR1tWvXrqXbb9CgQTAzM1NoS68iFvA93lOnTsHKygqOjo7prpv6mPXLly8qH6+mrZqWQlmFg6weq2mKUaNGoUSJEgptaafQSCspKQmurq4AIK/4kJHMvt5ZPcYsW7asPGk9RXx8PJo1a4Zbt27B3t4+w/3NCfXq1RNVf9m9e3e6fb59+ya5Ttokq9SioqLg4eEBQ0NDlaeCBArW70fa94hUtaDcFhUVhR49eiAsLAzNmjVD+/btReu4uroWiilBUv4+SFU8UkYqAe/SpUucbpKIiAqkgnNURUREhVZBu5ivKUkJ6e1HQZqmJTtpa2tL3oni6uqKb9++idqTk5Oxbt06AN/vIqxatWq2xfLw4UOF57GxsQp3Var7OHPmjGgbUuVaVT35kTYpo3Tp0hn2kclkklNuAN8v2KxZswY1atSAg4ODZLw5KasnI2/evClqU/cuXh0dHcm7V5VNs5KdJ1BzOnGloGrVqpXkXPHKqlZcu3YN9+7dAyCdlEGUEzQlKUFT9kNTBQUFSbZXrFgxlyPJOVpaWti7d68oedTf3x9jx47N0ti3bt0S/a3NTLUPqWkBMpqOzdDQUHS3/ZkzZ5QmNgDfL/wmJiZizJgx6U4DExERoVAVbd68eVk6XhUEQel0IgXpwnFOMjIywtSpUxXaTpw4gWfPnintc/bsWfj7+8PQ0FDl6VPy8vXu37+/KKkgLCwMZmZmOHToUKaraWRV2t+jY8eOITIyUun6Li4uiIqKQtmyZRXaPTw8lCazHz58GJGRkejVq5eowlx6CtLvR9rPlPyQ4D169Gg8efIEpUqVgoeHB7Zv3w4TExPRepo+JciTJ0/kyXrqTHFat25d0XRZgiCIkqSIiIgKgoJzVEVERIWaJiUlaMJ+9OogvhuusBgxYgTMzc0V2qKioiTv7Pvrr7/kJ5Ozu+R/2rv1QkNDs3V84PudkmkrdNy5c0elvmnjy+y8448fP8awYcNQtmxZzJkzB9HR0Vi6dClWrFiRqfHyypMnT0RtmUlWqF27tqgtMDAwUzFlh6tXr0Imk6n9cHNzy7OYs5tUgsSRI0ckK4mkzHNevXp1pXM0E+UETUlK0JT90EQpSWNpSSWfFWTly5fHtm3bRO1HjhzJ0t+2vD5OmDRpksKF1+TkZKVl2pOSkrBjxw7o6OhkmFCSG8erWeXr65upY5lFixbldehKTZ48WeGiryAI6R47p7yn+/fvL0ocyq9cXFxESeBxcXF5Wt1g0KBB0NPTkz+PiooSVdlLERsbiz///BNGRkY4efKkwu9fVFQU9u/fL9kvpbLIqFGjsjHy/CXtFD7Jycl5FMl369atw8GDB6GtrY1Dhw7B0tISFSpUkEyk1vQpQVKf8+jXr59an5lSU9y4ublxykkiIipwmFhBREQFhqYkJWjKfhRWRkZGknOrbtq0SXRSIKXkf9OmTTOdWKBM2pLTUhUzssPw4cMVnj9+/DjdO96A7yfNU19Ulslk6Nu3r1rbvX//Pjp37ow6derA3d0dtWrVgoeHB3x8fPDrr7+iVKlSao2X16TKVmdmvuC0ST1A/rxIUZj06tVLdEd2UlKSaIqgFy9e4O+//wYAzJo1q9DN+055T1OSEjRlPzTN9evXJdtbtGiRy5HkvD59+ojuTAeAqVOn4t27d5kaM6+PEypWrIguaX5/XF1dJS9S//333/Dz80P37t0znK4kt45XSZGZmZko6eXAgQN4//69aN2AgAB5Jbjx48fnSnzZoWjRoti1a5dCW3R0NAYPHpxnFQ7Mzc3RvXt3hTZl04G4u7sjMDAQw4cPR7169dChQweF5du3bxf1efPmDW7cuIHKlSujZcuW2Rc4KXX9+nX8/PPPAIBly5YpvO7jx49Hq1atRH00dUqQ0NBQ7P3/x19Vq1aFnZ2d2o+0lZhCQkJw8ODBvNgdIiKiTGNiBRER5VtHL4jvfNOUpARN2Y/CavLkyaK5X4OCghRO7t26dQteXt9fs+yuVgFAlMTx+PHjbN8GAEybNk100nzx4sXp9tm3b5/CXZb9+/eXvINSytevXzFkyBA0atQI586dg7W1NU6cOIG7d++iT58+0NbWVn8n8oGEhARRm7ISv+mRKvmbmVLhlH2UTRG0a9cuhQtla9euhSAIKFmyJIYOHZqbIRLJaUpSgqbsh6ZITEzErVu3RO1mZmYamVgBABs3bhRN8RYREYHBgweLpkNTRX44Tkhb1j04OBgHDhwQrZdSun3ixIkZjplbx6skNnPmTIXqCYmJiZJ32Lu6uiIpKQn169dXOs1KfiWV0HXv3r0Mv6vkpBEjRig8v379umhaneTkZKxduxZaWlryY8i0FSi8vb3h7e2t0JbyXXPkyJFM0M0FHz9+RN++fZGYmIiffvpJnmCRQiaTYceOHZJTWWrilCC7du1CVFQUjI2Nce/ePdy/f1/th9TfDWXVkYiIiPIrJlYQEVG+ddnruUYnJWjKfhRGFhYWkvMPOzk5yU+mp5T8r1q1KhwdHbM9hrRleu/evZvt2wAAU1NTHDx4EIaGhvI2Dw8PeRnatN68eYPffvtN/rxKlSqS06RI8fLyQq1atbB3714IgoAePXrg8ePHoju/CqLixYuL2t68eaP2OEWKFBG1lS5dOlMxUfYZOXKk6GccHR0tf+8HBgZiz549AIApU6ZAX18/12MkSqEpSQmash+a4PDhw5IXkIYOHQodHZ08iCjnGRsb48CBA9DV1VVo9/LywpIlS9QeLz8cJ3To0AHVqlVTaHN2dlZ47uPjgwsXLqBatWpo06ZNhmOmPV59+fJlphJGSH1lypTB4MGDFdpcXV3x5csX+fPk5GTs3LkTADBu3LhcjS+rLl68iCVLlqB06dL44YcfFJYtX75cnuCe2zp27KiQlC4IAtzd3RXWOXnyJF69eoUePXqgcuXKAABHR0dYWFgorLdjxw75/5OTk+Hu7g5tbW1RRUHKfvHx8ejduze+fPmCKlWqKJ3qqXLlyvjjjz9E7Zo2JYggCPIEiMGDB0sm8ali/PjxoqSg+/fvK51OjIiIKD9iYgUREeVrmp6UoCn7URjNmjVLYS5cAHj79i2OHj2K169f4+TJk0rXyw5pT8CfOnUq27eRonnz5rh48SLKlCkjbxszZgwmTZqEp0+fIj4+Hp8/f8aWLVvQpEkTeZlnGxsbnD9/XvJiQVo3b95Eu3bt8PnzZwDfT0oePnxY8gJBQWRpaSlqy2hKFSlSd7TWqpV3nyGtWrWCIAhqP/LDCeHz58/jv//+y5axjIyMJO/AcnZ2RnR0NP7880/ExcXB2NhYpTt8iXKapiQlaMp+FHSrV68Wtenq6mLq1Kl5EI20devWZaqSRHrs7OywdOlSUfvSpUvVvqibH44TZDKZaLq7Bw8e4Pbt2/Ln27ZtQ3JyMiZMmKDSHfNpjwEFQcjRY9bMsLa2ztSxzKJFi/I6dNy+fRs3btxQuvznn39W+B4SGxuL9evXy5+fP38e79+/R5EiRTBw4MCcDDVbBQQEYNCgQZDJZDh48CD27dunUJ0jKSkJQ4YMQWRkZK7Hpq2tLapMljaxIuUzM3VVQ11dXVG//fv3Izo6GgBw4cIF+Pv7o1OnThlOwUNZN336dHh5ecHQ0BBHjx5NN5Fg6tSpktN+FpQpQQ4dOoQPHz6ku865c+fkyX5S06KqqlKlSujYsaOonVUriIioIGFiBRER5XuanpRQEPdDapqWwkZZJYrVq1fDyckJycnJSitbZNf2U3v9+jWuXLmSqbFOnz6NX3/9Nd11HBwc4O3tLb+TKjk5GS4uLvjhhx+gr68PS0tLTJgwAV+/foWRkRFmzJiBO3fuoFKlShluPywsDH379pWfONTW1saGDRsK7LQfUuzt7UVtmbmTLioqSuF5yZIlYWNjk+m4Cqvk5OQsnRSUMmXKFNEUQV+/fsWmTZvkZdNHjBihUqIRUW7QlKQETdmPgur06dN4+PChqH3cuHEqHQPkhmvXrmHv3r05clwxZ84ctG3bVqEtKSkJgwcPRkREhMrjSB0n3Lt3D4mJiWrFk/Y4AfieBKmq4cOHw8TERKEtpWpFQkICXF1dYWRkpHKCZKlSpURJstu2bVM5nrS6desGPz+/TPfXNPPnz0doaKjS5dWrV0ePHj0U2lxcXOQVZrZv3w4AGDJkiOjnnl8lJiaif//+CAoKwpIlS9CyZUvUrl1blOT09u1bTJs2LU9iTDsdyNu3b3Hz5k0AgKenJzw9PeHg4CD6vR89erTC87CwMHh4eAD4v2lA0k4ZQtlv9+7d8mP3zZs3ZzilpZaWFlxdXUXfA4D8PyVIREQEJk2alOHv/59//gkAaNGiRZaT+qWSzA8dOoSQkJAsjUtERJRbmFhBREQFgiYlJWjCflz2ep7XIeQLc+bMEbXdv39ffpJy8uTJkidYskOzZs1Ebb/99hsEQVB7rJQTJekJCQnBTz/9hPDwcBw/fhzHjx/HxIkT0alTJzRp0gSdO3fGmDFj4O7ujvfv38PJyUnlE7Surq749OmT/LmdnR2qV6+u9n7kZ1IXNS5fvozY2Fi1xkldvhn4foGBcyyr7/Dhw9DW1s7Wah8lS5YU3WkIAL/88guCg4Ohra2tUSWBSTNoSlKCpuxHQfPp0yfJi3zlypWTLI2eV1asWIHevXvnyNgymQzu7u4wNzdXaH/37h2mTJmi8jj169cXJSCEhobC09NTrXjSHidUqlQJtra2Kvc3NTUV/S07fPgwgoKCcOzYMQQGBqJ///6iKT6U0dLSEt3Jff36dVy4cEHlmFJ4eXnh/Pnzote6sLpz5w68vb3RoUOHdNebN2+ewvPw8HA4Ozvj8+fP8uoh48ePz7E4s9v8+fNx8+ZNdOnSRWHfZs2ahRYtWiis6+rqiuPHj+dyhEC1atXg4OCg0LZ7924A0tUqUtSoUUPUb/v27fj27RtOnDiBUqVK4ccff8yhqAkAHj58iAkTJgAAxo4dq/JNEtWrV8fixYtF7f7+/nmW4KMKFxcX2NnZpZv4/fbtW3nljexITO/atSvKly+v0BYTEyNPHiIiIsrvmFhBREQFhqYkJWjKfhDQpEkT0ckv4PudikZGRtl+R3xqdnZ2opPaN2/exIYNG9Qa58qVK7hw4YJkSc4UYWFhaNu2Lby8vLBhwwY4OjrC0dERzs7OOHv2LDw9PXHmzBls27YNQ4YMQYkSJdSK4ezZswrPM3uHa2aSSnJL48aNRZUloqOjcfr0abXGefnypcLztHe2Ucbi4+Px22+/oVevXtk+ttTUPyml53v16oWKFStm+zaJskpTkhI0ZT8KipSqDIGBgQrtenp62L9/P0xNTfMoMkXXrl3DuXPncuQzP4WVlRV27twpat+9ezf27dun0hi6uroYMmSIqD3lbnVVZcdxwuTJkxWex8XFYfv27diyZQsA6buN09OuXTtR25gxYxAeHq7WOPPnz0fz5s1hZGSkVj9NNX/+fHTt2hX6+vrprtegQQNRVZX169fD2dkZiYmJaNq0aZ5OK6eOEydOYM2aNShXrhzc3d0Vkou1tLSwe/du0WfPmDFj5FMN5qa0VSs8PDzw77//4uTJk6hWrRq6d+8u2S9tspqnpyf+97//IS4uDkOHDoWOjk6OxVzYBQUFoUePHoiJiYGdnR02btyoVv9Zs2ahYcOGovbdu3fLpwnNT759+4bVq1dn+Pdxw4YNEAQBlpaW6NmzZ5a3q6WlJZmU6eLiguTk5CyPT0RElNOYWEFERAWKpiQlaMp+aJLUc1JLzU+tjFTVCuB7KWVV76hTtr304tDV1cWYMWMk4zly5IhK2w0JCcHIkSNRrVo10R1eKQRBQJ8+ffDw4UNYW1tj7NixKo2tjrQlnTNbBjSjudOlKjuoW2I7NXVP/EjNNb9u3TqV+yckJCiUW2/atCmaNGmidP38nGiSEan3fnadaFuxYgVevXqV4d3LmflMSO9EudSdiapsW90YiDJDU5ISNGU/ckJ8fHy2jZWYmIjBgwfj8uXLCu1aWlrYsWOHZFWt9OTUZ35MTAwmTpyIWrVqoVq1aumuK/X6qPOaOTo6St71P378eDx9+lSlMSZNmiRKznNzc1PruOju3bvy/5uamkoeK2akZs2aaNOmjUKbk5MTrl69ioYNG8LOzk6t8UaMGAFDQ0OFtg8fPqBLly6IjIxUaYz169fj2rVrau1PXl+gU/Z3Ozvicnd3x5UrV1SuxJK2akVQUBCWLVsGIPPVKnL7OPPdu3cYPnw4dHR04OHhIfk9y9raWpRk/vXrV4wcOTK3wpTr168fjI2N5c/Dw8PRo0cPJCcnY+bMmaLf9RR9+/YVVa9JmZYiL/Yjrax8d8rPYmJi8NNPP+H9+/cwNTWFh4dHhklLaWlra8PV1RW6urqiZaNGjUJAQIDaceXkd6LZs2cjNDRUNF1QaiEhIfJKEiNGjMi2xB6pRMK3b9/mywQUIiKitJhYQUREBY6mJCVoyn5oitTzYKszJ3b37t1F01ZoaWmpVfJf2fYyimPq1KmiqUYSExMxYMAArFy5Mt1EA39/f7Rr1w6+vr5YtGiR0vUOHjyIixcvAvhe2jsnpp3Q09NTeH7r1q0M72J8+/atqC0uLk7hedr9lzo5lvZOW+D7idu0c+FKncBSNwFk1KhRqFOnjkKbp6enyuWwr1y5Ip9HWyaTYdWqVemuHxMTI2rL7MnQ7LwgpwqpOeLVvbNVyokTJ/D777+jYsWKqF+/frrrZvYzQSrZqmXLlpJ3sKmy7czEQJQZmpKUoCn7kd2y4zMU+D7VRLt27XDw4EGFdj09Pezdu1fyYklGcuIzPzExESNGjMCzZ89UqlYhtb20xwIZcXJyQs2aNRXaIiMj0a1bN9EUHVJsbGzkJehTREVFyacOyEh4eDj++ecf+fO5c+eqXUUsRdppTIKDgwGoX60CAMzNzSXvTr516xZatWqFZ8+epdvf2dkZs2bNgq2tLfr06aN0vbTHaplN1M0uUu9rIOvv7du3b2PixIkwNjZGp06dVOrTrl07NGjQQKEtOTkZ5ubm6b6m6Ul7nJmVC+4ZHWfGxMSgV69eCA0NxZIlS2Bvb6903eHDh6NLms/6s2fPqjT1YXYyMTERJb74+PjAwsIi3ekljI2NMWDAAFG7g4MDatSokel40n5PUjVhN+33J6nvTqGhofDx8Ul3e0D+/R4SFxeH3r17y6deWrt2baYrKP7www+iqj/A9wSfAQMGqP0a5NR3ok2bNmHXrl1o3rw5LCwslK63evVqeQJcdlZ+qlixouQ0Vb///nuBvjmAiIgKByZWEBFRvlXE2EDp49aD1zh64Z6oz8BuTeDYrl66ffPToyDvh6Z59+6d5P8zIpPJMGvWLIW2nj17onLlypnadmpSyQOplS1bFmvXrhW1JyYmYt68eahbty7+/PNPvHz5EtHR0YiKisL9+/fxyy+/wNbWFt7e3mjbtq3kybsUrq6u8v/fuHED8+fPx5MnTxAVFZVhhQhVpU1MiYyMFN1Zl+LTp0/o27cvli5dKlr29etX+f9nzZolqoQhddLo+vXrCs/9/f3RsGFDxMbGKrRHR0eL+qYtt50RHR0dbN++XXQX09ixY1W6aP7777/L/z99+nTJaWhSk7orKrMXGaROouakDx8+iNrCwsIydadXiu3bt6N3795ISkpS6cRgZj8TmjZtKppPXlllG1W2nSKjzwMqgIoUyXeP5Bs3kHj4sChUncGDodWjR57Hl6v7oUECAwOVXuRVVXx8PDZv3oyaNWvi2rVrCsuqVKkCT0/PdI8n0iP1ma9qlQcpYWFh6NmzJw4dOgQAKt3Vn/aiIKDeZz8AGBoa4sCBA6ILkb6+vmjTpo1K0xEsW7ZMNPf86tWr4e3tnWHflStXyi9mNmrUSO2/Pan9+OOPqFChgkJb8eLF0b9//0yNt2zZMslj4wcPHqB+/foYNWoULl++jM+fPyMhIQEfP37EoUOH0KJFC/lFyk2bNqV7t3TaYzV1j9Oym9T7Gsjae/vUqVNo164doqKi0LlzZ7WmRZk7d66obfjw4aIkbVWlPSbLSiJLRseZI0eOxKNHj9CoUSP8/PPPGY63adMm0fH2nDlzcO+e+Ht3Tko7HQjwvTJNRq+51BQ+UslJ6kj7Gqf+3pSetN+f0n53Ar7v5/HjxzMcX91ktRQ5+T3ky5cv6NChA86cOQPge1XIwYMHZ2lMZQlPN27ckEy6SI/U58ibN28ynWySlJSExYsXy5Pn0vv7+O7dO6xfv17+PLunDKpdu7ao7eHDh3Bzc8vW7RAREWU7gYiIiIiEWbNmCQAEAEKlSpWE+Ph4lfvGxsYKpUqVkve/ffu2Wtvu3bu3vG/qxy+//KJS/wEDBkj2z+hRtmxZ4cuXL+mOXatWLZXGkslkgra2tqCvry+YmJgIJUuWFKpUqSK0bNlSmDlzZrqvyb59+yTHHDZsmPD69WshOjpaePDggTBz5kzByMhIMDAwEDp16iRaf9myZcLXr1+FsWPHChUqVBDCw8MVtvPp0ydRnzJlyghXr14VIiMjhQsXLghVqlQRpkyZIoqxT58+or5jxoxR6eeT1tatW0VjtW7dWhRvagsWLJCv27lzZyEuLi7D7QwcOFC0HScnpwz7+fn5CTo6Ogr9atSoISQlJam1n1nRoUMHyfdE//79hcjISJXH+fz5s3D48GGhcePGCuN4eXml2y8yMlKoUKGCfP3//e9/asX/119/yfva2NgIycnJKvf99OmTYGJiIvk79uLFC7XiICISBEHYsGGD5GfqmDFjhL///lv48OGD5OdUdHS0cO3aNeHnn38WrKysRP2LFi0qLFu2TIiNjc10bO/fvxf9zQEgaGtrC4cOHVJ5nISEBOHp06fC8uXLheLFi8vHqV69eoZ979y5I8hkMskYXr9+rfY+rVu3TvL1trKyEk6dOpVh/wcPHoj+DpQtW1Z4/vy50j7nzp0T9PT0BACCtbW18OHDB7XjTmv58uUKMcycOTNL4927d0/y75sqj2XLlqU79tOnT0V99PT0BB8fnyzFnBVjx46V3JdWrVoJQUFBKo8THBws/P3336Jj3wMHDqgVT1JSklCtWjWF44pXr16pu1uCIAjCq1evRPtVunRpITo6OsO+48ePF/Xdv3+/0vXnzp0rX2/t2rUqx9iyZUvJ4/7s+N1QVXJyslC5cmX59g0NDVX+2af+DlakSBG1jn/T8vHxEX3GFS9eXKUxpb5zLV++XPj27Zvw5s0bYciQIYKlpaUQERGh0G///v2ifn369Mlwe9HR0Qqf4QAELS0t4ePHj5nefynJycnCgQMHhBIlSihsS0dHJ93vZKo4ePBgup9n06dPFxITEzMcJyEhQbCxsZEcY+bMmSqfr0hOThY+fPgguLm5CTVr1lT4DAgICJDsExMTIzRp0kRhm9euXVPrdcgopgYNGkjuW9GiRYX//vsv27ZFRESU3ZhYQURERIVWYmKi8OrVK2HWrFmik01t2rQRbty4IcTExKg01tKlSwUAQvPmzVVaPz4+Xvjvv/+E4cOHKz3poqWlJfzyyy/Cmzdv0r2onZiYKIwaNUqtE9TlypUTnj17lmGca9euzdQJcKlHr169hLCwMNE2EhIShLp166o0hp2dnfD06VPh7NmzStexsLBQeqK4ffv26Y5ftWpVITQ0VB5XyvtD2foTJ04Unj59KiQkJKj0c0+xefNm0YUkW1tb4fjx4woXt16/fq2QODNo0KAML2BFRkYKmzdvFrS1tUXxmpqaCocPH5Y8kZqUlCT8999/opNoKY/x48crPfmWXcLCwoTJkyen+zPS1dUVypcvL/zwww9CvXr1BDs7O/mjfv36Qq1atQRra2vB2NhYsn/ZsmWVJjpERUUJly5dEiViaGtrCwsWLBDevXunUoJJ6osXO3fuVGnfw8PDhVOnTgk1atRQuu8VKlQQDh06JHz79k2t15WICqdv374JTk5O8gvu6T0MDQ2FypUrC3Xr1hV++OEHoWzZspLJBlpaWoKDg4OwefPmLF3oEwRBePToUYYJnKampkLVqlWFOnXqCPXr11f4zK9bt65gY2MjWFpaSiZnABB+/fVXpdv/+vWr4OrqKlhYWCjdfqVKlYTjx4+LLhqmJzk5WejcubPSMevWrSusXLlSuHPnjtILeJ6enqK4zM3NhfXr1wtRUVEK+7B48WL5z9jOzk7w9fVV/YeQjqCgIMHAwEAAvl+Ay0ySSVr37t0TXcjM6DF79mylf7fDwsKEEydOCNWrV5fsa21tLRw+fFh+bJcboqOjhT/++CPdfdLW1hbKli0r2NraKj2WqVSpkmBqairZ38DAQK33ZIodO3bIx2jbtm2m9u/JkyeCg4ODZFw9e/YU3r59K/nzCgsLE1xcXCSPTy0tLYULFy4oJA77+PgII0aMUFivfPnywvXr19NNMI6IiBD27t0rf++mfZQrV07YvXt3hsnl2WXJkiXybU+YMEHlfqkT4kaPHp2pbScnJwvPnz9Xemz/448/Cm/evEk3AVhZAnzKQyaTCadPn5avHxISIhw8eFAoXbq05Prz5s0T/Pz8JLfl4+Mj9OjRQ7Jfy5YthefPn6uVrCz1evj6+go7d+4U6tWrp3Sf2rdvL3h6egrfvn1TKQFCEL7/3n/48EHYt29fun9TUh716tUTdu3aJbx580YyIenz58+Sif1pPwcqVqwo1KpVS/T3sV69esIPP/wglC9fXjA0NJTs7+DgINqun5+fsGvXLsnv5iVKlBDWrl0rPHr0KFOfP0lJSUJISIjw4MEDYeTIkenuW5EiRYSlS5cK//33X5YTXYiIiLIbEyuIiIio0Pn69augra0tecFA2cnPDRs2pDtmcHCwYGxsLJw4cSLd9R49eiR5QjGjR0pFiK9fvyod283NTShZsmSGY3Xr1k3w9/dX+fVau3atoK+vr3bMyk7gSN1d4+PjI1SpUiXdE0d//PGHPIEhLCxMKFKkiGi9WrVqCW/evFG6L69fvxYsLS0lt2Frayu8f/9eEARB+Pfff1V+f6T8fO7evavyayoIguDl5SXUr19fcl9r1qwplCtXTt5WsWJF4eDBgxmOmbpPRg8DAwP5+6lTp05KL0qlfejq6gre3t5q7Wt6jh07JjRu3FiwtbVV6eJfVh9Tp04VxbB27VqVfy9TfhczukizdetWoXTp0hlWF5k5c2amPhO0tLSE7t27Z+m1JyLNExsbK5ibmwtFixbN9Oekjo6OYGJiIpQuXVqoX7++4OjoKPzyyy/CsWPH1LrTXsqoUaOERo0aKVQFysmH1N8rBwcHQUtLS+2xtLW1Va7a8PnzZ5WOyYoVK6Z0DH9/f8mqZtra2kLlypWFKlWqCLq6ugLwPQHl999/V6milTpSEoDbt2+fbWN++PBB6NWrV4avTYkSJdJNTlRljNSPrl27Zts+pOXl5SU0btxYqF27tmBkZJTj7+vM/v2Pi4uTJ2scPnxYrb5bt26Vv9/U+V25fv260gu7aR8ymUzo2bOn4Ovrm+56zZo1k4wxNjZWrdfRzc0tU6+jOj58+CBoaWkJWlpaaiUnBQcHy79/ZVRpTcr69etVPrbX0dER/vrrL6VjKbvAb2BgIOzZs0e+nqOjo8qvva6urnDx4kVBEARh0qRJKn8H0NHRUfu9m8LNzU3t37Vdu3apNHbbtm0z/fvs6OgoCIIgODs7C40bNxZq1KiRqe8G6j7SVjLM6Pcu7UPdJL4rV65kKs4KFSqotR0iIqKcJhMEQQARERERaYTw8HAcPXoUx44dw9OnT/H582fo6emhTJkyaNmyJQYMGIDmzZurNaYgCOjduzcuXLiAgQMHIiAgAIGBgQgJCUFERARiYmIQFxeHxMREJCcnI6PDyy1btmDcuHGi9oiICDg5OeHw4cN4+/YtdHV1UbFiRXTq1Anjx49HxYoVFda/fv06pk2bhlevXqFy5coYMWIExo8fD0NDw3S3//HjRyxZsgSnTp3C169fUbVqVQwdOhRTpkzJ9DzTWfHPP//gyJEj8PT0hK+vL6Kjo2FsbIzy5cujYcOG6NGjBzp37pzuvOJERESkmZ49e4a9e/fi6tWrePXqFcLCwqCnp4dSpUqhXr166Ny5M/r06YOiRYtm+7a9vb1hZ2eHv/76Cz/99FO2jn3//n0cOnQIly5dgp+fH8LDw2FhYYEaNWqge/fuGDp0KIoVK5at2yzsHj16hHr16sHS0hIfPnzgsWUu6dixI4yNjXHs2DG1+g0cOBD//vsvnj59mkORqUYQBGzevBnbt2/HixcvUKxYMXTu3Bnz589H1apV8zQ2IiIiotzGxAoiIiIiStfUqVPh7OyMEydOoFu3bhmuLwgC4uPjER0dja9fv+L169e4cOECtm7ditjYWLRr1w4XL17MhciJiIiIiAgAxo0bh23btuF///sflixZktfhEBEREREVOEysICIiIiKlfvnlFyxfvhzTp0/HunXrsjTW0aNH0bt3b1SvXh0vXrzIpgiJiIiIiCg94eHhsLKyQkxMDHx8fFC+fPm8DomIiIiIqMDRyusAiIiIiCh/cnNzw/Lly2FiYoLFixdnebwuXboAAMzNzbM8FhERERERqWbPnj2IiopCly5dmFRBRERERJRJTKwgIiIiIpEXL15g0qRJAID27dvD1NQ0y2P6+voCAOzt7bM8FhERERERqcbZ2RkAMGHChDyOhIiIiIio4GJiBRERERGJTJ06FdHR0QAAY2PjbBnTyckJ2traGDVqVLaMR0RERERE6Tt27BieP3+OGjVqoHPnznkdDhERERFRgcXECiIiIiJS4O/vj4sXL8qfHz9+HM+ePcvSmJs3b8aOHTswc+ZM2NjYZDVEIiIiIiLKQHBwMGbMmAEA+PXXXyGTyfI4IiIiIiKigouJFURERESkQEdHR+Gka2RkJJo2bYoNGzYgJiZGrbFCQkIwYcIETJw4EV26dMGyZcuyO1wiIiIiokIpPj4eEyZMQMmSJVG0aFG0bt0aTk5OePbsGf7++280bdoUHz58QLNmzTBo0KC8DpeIiIiIqECTCYIg5HUQRERERJS/TJ06FX/++aeovXjx4ujUqRPatGmDGjVqoGLFiihSpAiMjIwQHx+PyMhI+Pn54cmTJzh//jxOnTqFiIgIDBkyBFu3boWhoWEe7A0RERERkeZZt24dZs6cme465ubmuH//PqytrXMnKCIiIiIiDaWT1wEQERERUf6zfv16FC9eHMuXL0d8fLy8/du3b9i/fz/279+v0jjGxsbYvn07Ro8enVOhEhEREREVSv7+/ukuNzMzw+nTp5lUQURERESUDTgVCBERERGJaGlpYdGiRXjx4gWGDBkCAwMDtfqbmZlhwYIF8PX1ZVIFEREREVEOGDhwIPT19SWX2dnZwcvLC/b29rkcFRERERGRZuJUIERERESUoYiICJw8eRK3bt3Cw4cP4efnh7CwMMTGxsLMzAzm5uawtLRE06ZN0apVKzg4OHDaDyIiIiKiHObl5YUFCxbgwYMHSEpKQoMGDTBy5EgMGDAA2traeR0eEREREZHGYGIFERERERERERERERERERERkRKcCoSIiIiIiIiIiIiIiIiIiIhICSZWEBERERERERERERERERERESnBxAoiIiIiIiIiIiIiIiIiIiIiJZhYQURERERERERERERERERERKQEEyuIiIiIiIiIiIiIiIiIiIiIlGBiBREREREREREREREREREREZESTKwgIiIiIiIiIiIiIiIiIiIiUoKJFURERERERERERERERERERERKMLGCiIiIiIiIiIiIiIiIiIiISAkmVhAREREREREREREREREREREpwcQKIiIiIiIiIiIiIiIiIiIiIiWYWEFERERERERERERERERERESkBBMriIiIiIiIiIiIiIiIiIiIiJRgYgURERERERERERERERERERGREkysICIiIiIiIiIiIiIiIiIiIlKCiRVERERERERERERERERERERESjCxgoiIiIiIiIiIiIiIiIiIiEgJJlYQERERERERERERERERERERKcHECiIiIiIiIiIiIiIiIiIiIiIlmFhBREREREREREREREREREREpAQTK4iIiIiIiIiIiIiIiIiIiIiUYGIFERERERERERERERERERERkRJMrCAiIiIiIiIiIiIiIiIiIiJSgokVREREREREREREREREREREREowsYKIiIiIiIiIiIiIiIiIiIhICSZWEBERERERERERERERERERESnBxAoiIiIiIiIiIiIiIiIiIiIiJXTyOgAiIiJlOvYagZCQsLwOgySYmRXF+aO78joMyqd8fHxQpUoV3Lp1C/b29nkdDhFRvhQ/ezYQEZHXYZCUIkWgt2ZNXkdBRERERERERPkIEyuIiCjfCgkJw7dQJlZQ9pPJZFnqP2zYMLi5uUku8/X1RcWKFTM1nr29Pe7cuZPpuBYuXIhFixZlun92cXFxQXJyMlxcXJhYQUSkTEQEEyso28XHx6NNmzZISkpCQkKCWn1lMhn09fVhYGAAAwMDFClSBFZWVrCyskK5cuVQt25dVK1aNdPHUfnhOGfcuHF48uQJ4uLiVO6jpaUFXV1d6OrqwsTEBGZmZrCwsEClSpVga2uLRo0awdjYOEtxUcF17tw5dO7cOUtjCIKQTdEQEREREVFOkgk8eicionyqUZueTKzIp4oXK4q7l4/ldRiZFhMTg48fP8LLywu7d+/GP//8k2EfGxsbrFu3Dg0bNkTRokWhpaV8RrWkpCSEhYXh5s2bGDt2LL58+SJap02bNpg2bRrs7e1hbm4ObW1tAN9PrAYGBuLvv//G/PnzERgYKLkNLS0tjB07Fn379kWNGjVQvHhx6OnpZTlpJKtiYmJQtmxZfPv2DQYGBvD394e5uXmexkRElB/FjxvHxIr8qkgR6G3dmtdRZFlAQAD27t2L3377DfHx8dkyZtGiRdGkSRP06dMHPXv2RLFixdTqn1+Oc8LCwnDmzBnMmTMHAQEBWRpLV1cXXbt2xezZs+Hg4JAt8VHBExsbi6dPn2LVqlXw8PBQul61atXw888/o0mTJihbtiyMjY3l3wOIiIiIiCh/Y2IFERHlW0ysyL8KemJFWv/88w+GDBmCz58/K13n2bNnqFmzptpj79mzB0OHDpU/NzU1xfbt29G3b98M+3p7e8POzk7ULpPJcPToUfTo0UPteHLazp07MXr0aPnzVatWYc6cOXkYERFR/sTEinxMQxIrUmzatAlTpkwRtTs4OKBVq1aws7NDjRo1YG5uDjMzMyQkJCA4OBhv3ryBl5cXzpw5A09PT9Fd9QYGBpg4cSJ++eWXTCVR5ofjnCdPnqBWrVqi9v79+2PAgAGoWrUqypQpA2NjY4SEhODt27f4559/sHnzZsmEjOHDh8PZ2RlGRkY5HjvlX927d8epU6dE7fb29rh8+TIMDQ3zICoiIiIiIsoqJlYQEVG+xcSK/EvTEisAwM/PD61atcK7d+8kl3/48AHlypVTe9zDhw/LkyhKliyJy5cvw9bWVuX+VatWxZs3bxTamjRpAk9PT7VjyQ316tXDo0eP5M8rVaqEN2/e5HklDSKi/IaJFfmYhiVWfPr0CVZWVqL2K1euoFWrViqN8erVKyxduhR79+4VJViYmZnBzc0N3bt3Vzu2/HCcU6NGDbx8+VKhbdeuXRg+fLjSPnFxcZgzZw7+/PNP0bImTZrg/PnzKFKkSHaHSgXEvn37MHjwYFH7+fPn0aFDhzyIiIiIiIiIsoPyGtZEREREhUi5cuVw+fJllCpVSnK5m5ub2mMKgiA/4W5iYoKzZ8+qlVQBAFWqVBG12djYqB1Lbrh586ZCUgUAvHv3DufOncubgIiIiAiWlpZZrqBQrVo1uLu74/r166JE05CQEPz0009YuHCh2uPmh+OcypUrq91HX18fGzduxIIFC0TLvLy8JC+qU+Eh9b4G8u8xPBERERERqYaJFURERET/X4UKFXD06FHo6emJlq1evVrtObhXrlyJGzduQCaTYd++fahfv77aMRUtWlTUlply27lh06ZNku0uLi65HAkRERGlZmpqmi3jNGvWDA8ePBBN4SEIAn7//XcsXbpUrfHyw3FOVl6bxYsXo0mTJqL2kydP4siRI1kJiwowqfc1kH+P4YmIiIiISDVMrCAiIiJKxcHBAcuXLxe1R0REYOLEiSqPc/XqVfldjAsXLsxUeWzg+/zlaenr62dqrJz06dMnHDsmPT3MmTNn8P79+1yOiIiIiFJk57GDhYUFLl26hOrVq4uWLViwAB4eHiqPlR+Oc7KyPZlMJlm1AgCcnJwyPS4VbFLvayB/HsMTEREREZHqmFhBRERElMaMGTPQsWNHUfvJkyexf//+DPv7+fmhb9++SExMRNeuXfHbb79la3xaWvnvEG7Lli1ISEiAoaGh6EJLcnIytmrQXPVERESFXdGiReHh4SF5AXn8+PFqV/lKLT8e56SnTZs2klOt3LlzB2FhYXkQEeVXBe29TUREREREinhET0RERJSGTCbDrl27YGZmJlo2depUBAYGKu0bFxeHXr16ISgoCBUrVsSePXsgk8lyMtw8l5CQgG3btgEABg4ciOnTp4vW2blzJ+Lj43M5MiIiIsoptWvXlqzKEBISgtmzZ+dBRHlDX18f1tbWovbk5GT4+PjkfkBERERERESUI5hYQURERCTB0tISzs7Oovbg4OB0pwSZOHEi7t27BwMDAxw5ckQyOUPTHDlyBJ8/fwYATJkyBYMHDxbNVx4YGIijR4/mRXhERESUQ8aOHSuZVODh4YFnz57lfkB5pGjRopLtsbGxuRwJERERERER5RQmVhAREREpMWDAAPTu3VvUfvToURw5ckTUvmXLFri6ugIANm3ahPr16+d4jPnBpk2bAADNmzdHnTp1YGJigiFDhojWc3Fxye3QiIiIKAdpa2tjxowZovbk5GSsXr06DyLKG8qqmZUsWTKXIyEiIiIiIqKcwsQKIiIionRs3rwZpUqVErVPmjQJwcHB8udeXl6YNm0aAGDkyJEYNWpUrsWYlx4+fAhPT08A36tVpJCq6nHz5k38999/uRYbERER5bxRo0bB0NBQ1P7XX38VimnAvn79ivfv34vaS5YsiYoVK2Zp7MjISLi7u6NPnz6oXLkyjI2Noaenh1KlSqFFixZYsGABnj9/nqVt5IWPHz9i06ZN6NSpE6pUqQITExOYmpqiatWqGDhwIA4ePIikpCS1xnz58iXGjx8PQ0NDLFq0SGHZlStX0LJlSxgZGaFq1apYs2YNkpOTs3GPChdBEHDlyhUMGzYMJiYmGD58uGidZ8+eYfLkyahWrRoMDAxQpkwZdOjQASdPnoQgCLkfNBERERFRNmBiBREREVE6SpQoga1bt4raAwMDMXXqVADA58+f0bt3b8THx6NevXqSU4hoqj///BMAUKZMGfTo0UPebmNjg5YtW4rWZ9UKIiIizWJsbIxGjRqJ2sPCwnDx4sU8iCh37d+/H4mJiaL2Pn36QCaTZWrMpKQkrFmzBtbW1hg2bBiOHDmCiIgIWFtbw8DAAIGBgbhx4waWLl0KGxsb/PTTT/D19U13zOrVq8PAwEClx/z585WOM3LkyHT7Xr9+XWnfqKgo/Prrr6hUqRKmTJmChw8fwsDAAFpaWoiIiMCbN29w4MABDBgwALa2trh27VqGr9WNGzfg6OiImjVrYuvWraLpV9atW4e2bdvi+vXriImJwZs3bzBnzhz88ccfGY6dn1lbW0Mmk6n0WL9+vdJxTp8+nW7f6dOny9d9+/YtfvvtN1SsWBFt2rSBu7s7oqKiFMaLiorC5MmTUatWLTg7O+P169eIi4vDx48fcfHiRTg6OqJXr16SvzMAcPz4cZX3SyaT4evXr/K+bm5u6a5bt27drLzkRERERERMrCAiIiLKiKOjI4YOHSpq379/P44ePYo+ffrg48ePMDMzw9GjR2FgYJAHUea+b9++4eDBgwCA8ePHQ0dHR2G5VNWKvXv3IiIiIlfiIyIiotzRokULyXYvL69cjiR3BQYGYvHixaJ2Y2NjzJs3L1NjBgUFoUWLFpgzZw6Cg4MxYMAAPH78GIGBgXj69ClCQ0Nx9uxZ1KpVS97nxIkTqFu3Ls6dO6d0XE9PTxw4cAA1atRAXFyc6JGQkIAtW7YgODgYy5cvVzrOzp07ERgYiG3btin0nz17Nl68eIHmzZtL9vP390fjxo2xbNkyNG/eHPfu3cOXL1/w5MkThIWF4dSpU7C1tZWv//LlS7Rv3x67d+8WjZWUlAQPDw80btwYLVq0UFoFwd3dHTNnzpRcll6yQUFw/fp1LFu2DCYmJpLLjY2NcfToUURERCgkR6TVrVs3REZG4vDhwwrtNWvWxOXLl7Fy5UocPXoULVq0QNWqVbFkyRLJCi0A4OvrC3t7ezg7O6dbEeSvv/7CggULJJc5OjoiICAABw4cgI2NjdIx5syZg5CQEJQoUULeNnToUDx//lzhfQQAHTt2xI0bN3Dr1i2l4xERERERqYKJFUREREQq2LhxI8qWLStq79u3L27evAmZTIY9e/ZkueRzQbJjxw7ExMRAT08PY8eOFS3v0aMHLC0tFdoiIyOxZ8+e3AqRiIiIckGTJk0k2x89epS7geSikJAQdO7cGd++fRMt27Ztm+RxY0aCg4PRqlUr+TRrK1aswP79+xWSKLS0tNCpUyfcu3cPXbt2lbeHhYWhe/fuOHPmjOTY5ubm6NGjB7y8vNCsWTPR8mbNmmH48OEwNjZON0aZTAZTU1MMHToUZmZmAICpU6di6dKl8ioKafn5+aFp06Z4+vQppkyZggsXLqBBgwYKY3br1g2enp4KiRkJCQkYPXq0qHJF8+bN0a9fP9y9e1dpnK9fv8b48eOVLo+IiFBaNaEgKF++PObPn4+TJ09CW1tbtHz48OHo2bOn0sSL1IyNjdG7d29YWFgAACwsLHDp0iW0bt0a+vr6iI+Px+DBg3H8+HG0a9dOcoyXL1+iWbNm8PPzw4wZM3Dv3j2EhYXh27dv2L17N4oXL66w/tq1axEQECAaRyaTwcrKCv3798e9e/eUJm31798fxYoVU2jT0tJCjRo10KpVK3nb5MmTcfbsWTRr1izD9zYRERERUUaYWEFERESkgqJFi2Lnzp2i9pS7sX799VeFk9uaLjk5WT6tR79+/VCyZEnROrq6uhg9erSoffPmzTkeHxEREeWetImUKV69epXLkeSOq1evomHDhvD29lZo19HRwa5duzBw4EC1xxQEAYMGDcKzZ88AAO3atcPcuXOVrq+vrw8PDw9Ur15d3paQkIB+/frh7du3SvsZGhpi586doovx8fHxasX74cMHhISEwNTUFL///rvS9ZKSkjBw4ED4+fmhTZs22LBhg9IpUkxNTbFnzx4YGRnJ2xITEzF48GCF+FxcXBAcHIzQ0FCMGDFCcqxx48bBysoK//77Lx4+fChK/unatauo2lpB1Lp1a8nqKDExMWqNEx0djZCQEADAjBkzFH6nBwwYgLFjx6J79+5wd3cX/fz8/f3Rvn171KxZE0+fPoWTkxMaNGgAU1NTmJmZYejQodi7d69Cn4SEBLi5uaUbk5GREY4fP47KlSuLlrm6ukr2CQ4Oxv79++Vxb9y4MdNT8hARERERpcXECiIiIiIVdejQQemdb1WrVs3laPLWqVOn5GWAp0yZonS9cePGiU7cP3nyBDdu3MjR+IiIiCj3pL0bPUVoaGjuBpJDkpKS8OTJE2zduhVNmzZF69atRckLDg4OuH//PoYPH56pbbi6uuL8+fPy54sWLcqwj5GRETZs2KDQFhkZidGjR0tOf5GiWrVq6Nmzp0LbgwcPEBwcrHK8KRevR4wYgaJFiypdb/369bh58yYAYOXKlRle5K5QoQJ69eql0Obv769wEb5u3booXrw4ihYtipUrV4rGOHXqFLy9vXH+/HnUrl0bdevWxc2bN7F161a0b98e48aNw65du1Td1Xzvt99+EyUfXL58Od33QFrnzp1DYmIi9PT0JBOjU1haWqJMmTIKbZcuXUK7du1w/vx50bIUnTt3VkgCAr5PZ5IRMzMzHD58GHp6egrtmzdvxu3bt0XrT5s2DSEhIbCzs8OuXbuYVEFERERE2YqJFURERERqWLNmjeRdU9OnT8enT5/yIKK8sWnTJgBAo0aN0LBhQ6XrlSlTBt27dxe1p1S7ICIiooLP3Nxcsj0sLCyXI8keixcvRoMGDWBra4ty5crBxMQEtWrVwvjx4+Hl5SVfz8LCAsOGDcOtW7dw8+ZN1KlTJ1Pbi4mJwa+//ip/bm1tDQcHB5X6duzYER06dFBou3r1Ko4dO5Zuv7SJsQkJCSpP1yYIAnbs2AEAmDBhgtL1EhIS4OTkBOB7EnLq6T/Sk3rqkxQHDx6UXNfCwkI03YW3tzfWr1+vcMyupaWFsWPH4sKFC9iyZYtoGomCTE9PDwsXLlRo8/X1VUjUyUhKZb6ePXvKpwRRJm0iVdu2bbFz505oaaV/mjnttB6vX79WKbZ69eph+fLlCm3JyckYOXIk4uLi5G0eHh7Yt28fzMzMcOTIEejr66s0PhERERGRqphYQURERKQGY2NjtG7dWtQeEhKCcePG5UFEue/Fixe4dOkSgPSrVaSYOHGiqO3YsWP48uVLtsdGREREuU8TplRIzdfXFw8ePMCzZ8/g7++P2NhY0Tr9+vXDly9f4ObmhqZNm2Zpe3v27FE4LmrZsqVa/aWmw0hJaFCmefPmokQQFxcXlaocXLx4EW/fvkWbNm1EVQhSO3LkCD5+/AjgezKuqqSSHry8vBQuoqeWeuqQlG0NGzZM5e1pggEDBqB8+fIKbWvWrFGpr5+fH86dOwcASqvzpWZgYKDwvGzZsipVhqhUqZLC869fv6oUH/B9epI2bdootD1//hzLli0DALx//17+XczNzQ3W1tYqj01EREREpComVhARERGp4fDhw/I79NI6deqUynf6FWSbNm2CIAgoVaoU+vbtm+H6bdu2RbVq1RTa4uPjlb6OREREVLAom0LC2Ng4lyPJHuPGjYMgCPLHkiVLROt4eHjgypUr2bK9tMdEtra2avV3dHREkSJFFNo8PT3x7t27dPtNnjxZ4fnr169x4cKFDLe3ZcsWANLJs6mdPXtW/v9//vkHDRo0UOmRcrE8tdjYWAQEBEhuR1dXV+F5586dC90UEDo6Opg9e7ZC26VLl3D37t0M++7YsQPJycmoWbOmSkk9aV9vVaVNmImJiVG5r0wmw+7du0VjrFixAk+ePMGgQYMQGhqKWbNmSVbLIyIiIiLKDkysICIiIlLR06dPMXLkSADfTySXKlVKtM60adM0ekqQiIgIuLu7AwDGjh0rmu9YikwmkywTvW3bNiQnJ2d7jERERJS7lCVWWFpa5nIkOeOXX35B8+bNFdoEQcCwYcMQEhKSpbE/fvyI+/fvK7RZWVmpNYahoaHk1GzXrl1Lt9+gQYNgZmam0JYy3ZsyHz9+xKlTp2BlZQVHR8d01/X09JT//8uXL3jw4IFKD19fX8nxlFU4yGgKisJi1KhRKFGihEJb2ik00kpKSoKrqysAqFx9L7Ovd9pKF4mJiWr1L1u2LDZv3qzQFh8fj2bNmuHWrVuwt7fPcH+JiIiIiLKC3zxIJDIyEg8fPsTZs2fh5uaGjRs3YvXq1fjjjz+wZs0auLi4YNeuXfjrr7/g7e2tVuk+IiKigio8PBw9e/ZEZGQkWrdujY0bN8LFxUW0nqZPCbJ7925ERERAR0dHpVLBKYYPHy4q0/zhwwecPn06u0MkIiKiXBYUFCTZXrFixVyOJGdoaWlh7969orvl/f39MXbs2CyNfevWLdH0G5mp9FG3bl1RW9qEjbQMDQ3lScMpzpw5ozSxAfhe3SAxMRFjxoxJdwqYiIgIvH37Vv583rx5ClVAMvNQNp0IEyu+MzIywtSpUxXaTpw4gWfPnintc/bsWfj7+8PQ0FDl6VPy8vXu378/Bg4cqNAWFhYGMzMzHDp0KNPVNIiIiIiIVKFZk2BSpjx8+BCXL1/GjRs34O3trbS0YnqMjIxQv3592Nvbo0mTJmjfvn2BLflJRESUliAIGDp0KF69egUrKyscPHgQ2tra6NmzJ/r27QsPDw+F9VOmBBkyZEgeRZwzBEGAs7MzgO93mJUpUybLY7q4uLBcLxERUQF37949yfYGDRrkciQ5p3z58ti2bZtoGrQjR47Azc0Nw4cPz9S4T548EbWlTbRQRe3atUVtgYGBGfabNGkS1q1bJ68ilpycDBcXF6xatUq0blJSEnbs2AEdHZ0ME0rS3oQTGhqaYSy5zdfXN1PJPwsXLsSiRYuyP6BsMHnyZKxatQqRkZEAvr+XVqxYIa84l9a2bdsAfE9YSJs4lF+5uLjg5s2b+PDhg7wtLi4OsbGxeRgVERERERUGTKwopAICArB582YcPHgQPj4+8vbMfHkHgKioKNy8eRM3b94E8L28X+fOndG/f3/07NmTdw8QEVGBtnz5cpw4cQK6urrw8PBAyZIl5cs2bdqEy5cvi04eT5s2De3atdOYEtjA97mxX7x4AQCoX7++2nNXC4IAb29vhbYLFy7g7du3qFy5crbFSURERLnr+vXrku0tWrTI5UhyVp8+fTBy5Ej51Akppk6dihYtWqBSpUpqjylVBTQiIkLtcczNzUVtqiQzVKxYEV26dFGoIubq6orff/9dNHXD33//DT8/P/Ts2TPD6UrSTpHy7du3DGOhrDMzM8PYsWPh5OQkbztw4ACWLFmCChUqKKwbEBCAM2fOAIBalejyWtGiRbFr1y60bdtW3hYdHY3BgwfD09Mz3UoqRERERERZwavdhcz79+8xePBgVKpUCcuXL8e7d+8UyirKZLJMP1KPExMTg7/++gv9+vVD5cqV4ezszMxxIiIqkC5evIgFCxYAAFatWgUHBweF5RYWFvjzzz9F/TRxSpCUObcdHBzw4MED3L9/X63HgwcPRPN/C4KALVu25MXuEBERUTZITEzErVu3RO1mZmYal1gBABs3bkTVqlUV2iIiIjB48GAkJSWpPV5CQoKoLTw8XO1xihYtKmpTtZLo5MmTFZ4HBwfjwIEDovU2b94MAJg4cWKGY8bExCg8f/z4sUqxUNbNnDkTenp68ueJiYmSFUhcXV2RlJSE+vXrK51mJb+SSua6d+8eFi9enAfREBEREVFhwcSKQiIpKQkLFy5EzZo1ceDAASQkJEgmUgDqVa1ISaQAoDTR4v3795g6dSpsbGxw9uzZHNk/IiKinODr64sBAwYgOTkZffr0wfTp0yXX69+/PxwdHUXtKVOCaIL379/L72RMe/JdHVIn4nft2sUETCIiogLq8OHDCAsLE7UPHTpUI+8cNzY2xoEDB6Crq6vQ7uXlhSVLlqg9XvHixUVtb968UXucIkWKiNpKly6tUt8OHTqgWrVqCm0p07+l8PHxwYULF1CtWjW0adMmwzHTTivx8uXLTCWMkPrKlCmDwYMHK7S5urriy5cv8ufJycnYuXMnABS4ZPCLFy9iyZIlKF26NH744QeFZcuXL4eXl1ceRUZEREREmo6JFYWAj48P7O3tsXTpUsTGxiokVEhRp6x3RuOkTrLw9fVFt27dMGLECMTHx2dqX4iIiHJLbGwsevXqheDgYFSvXl1+4lGZzZs3w8zMTNQ+bdo0fPr0KafCzBbr1q3L8A5LFxcXJCcno3Tp0ujVq1emt9WvXz/RBYTg4GAcOnQo02MSERFR3lm9erWoTVdXF1OnTs2DaMRUOc5Rl52dHZYuXSpqX7p0qdoXdaWmjXv27JnaMUlVvqhVq5ZKfWUyGSZNmqTQ9uDBA9y+fVv+fNu2bUhOTsaECRNUOm+U9nhPEAScOnVKpXhyi7W1tUL1VVUfixYtyuvQcfv2bdy4cUPp8p9//llhWt7Y2FisX79e/vz8+fN4//49ihQpgoEDB+ZkqNkqICAAgwYNgkwmw8GDB7Fv3z6F6hxJSUkYMmQIIiMj8zBKIiIiItJUTKzQcHfu3EHjxo3h7e0tmVCh7Euirq4uTExMYG5uDisrK5QrVw5WVlYoXbo0ihUrBkNDw3T7p616kTrBwt3dHW3atOH8mkRElK9NmDAB3t7eMDY2xrFjxyTvAkzN0tIS69atE7Xn9ylBrl27hr1790JbW1vpOrGxsdixYwcAYOzYsaI7NNVhaGiI4cOHi9pTSksTERFRwXH69Gk8fPhQ1D5u3DhUqlQpDyJSpMpxTmbNmTMHbdu2VWhLSkrC4MGDERERofI49vb2orZ79+4hMTFRrXiioqJEba1atVK5//Dhw2FiYqLQllK1IiEhAa6urjAyMpI8jpNSqlQp0fHztm3bVI4nrW7dusHPzy/T/TXN/PnzERoaqnR59erV0aNHD4U2FxcXeXWZ7du3AwCGDBki+rnnV4mJiejfvz+CgoKwZMkStGzZErVr1xYlOb19+xbTpk3LoyiJiIiISJMxsUKD3b17Fx07dsTXr18BQGF6DkEQUKpUKTg6OmLevHlwd3fHzZs38fr1a4SFhSE2NhZhYWEIDAyEn58ffH194efnh4CAAAQHByMyMhKJiYkIDQ2Fr68v7t27h9OnT2Pz5s2YO3cuevbsicqVKwMQTxciCAK8vLzg6OjIyhVERJQvbdmyBW5ubgC+n3S0sbFRqd+wYcPQuXNnUfupU6fk4+U3K1asQO/evdNd58CBA/j27Rt0dHSyJUlk/Pjxojsd79y5I3lhhoiIiPKnT58+YdSoUaL2cuXK4Y8//siDiMRUOc7JLJlMBnd3d5ibmyu0v3v3DlOmTFF5nPr164sSEEJDQ+Hp6alWPKmneQCASpUqwdbWVuX+pqamGDp0qELb4cOHERQUhGPHjiEwMBD9+/cXTfGhjJaWFpo2barQdv36dVy4cEHlmFJ4eXnh/Pnzote6sLpz5w68vb3RoUOHdNebN2+ewvPw8HA4Ozvj8+fP8uoh48ePz7E4s9v8+fNx8+ZNdOnSRWHfZs2ahRYtWiis6+rqiuPHj+dyhERERESk6ZhYoaE+fvwIR0dHhIeHKyRUODg44M8//8SzZ8/w8eNH/PXXX1i2bBkGDx6Mpk2bonLlyhnekZtCJpPB1NQU5cuXh52dHbp06YJx48Zh+fLlOHLkCF69eoWQkBCcOXMGkydPRpkyZeRVMwRBgKenp+Q860RERHnp1q1b8jucJk+ejAEDBqjVf9u2bTA1NRW1T58+Pd/dZXft2jWcO3cuw6k9UsoG//TTT7CyssrydqtWrSp5B+Wff/6Z5bGJiIgo56VUZggMDFRo19PTw/79+yWPhXKbqsc5WWFlZSU5Xdzu3buxb98+lcbQ1dXFkCFDRO0eHh5qxfLy5UuF56NHj1arP/D92De1uLg4bN++HVu2bAEAtc/htGvXTtQ2ZswYhIeHqzXO/Pnz0bx5cxgZGanVT1PNnz8fXbt2hb6+frrrNWjQQFRVZf369XB2dkZiYiKaNm2q8nQxee3EiRNYs2YNypUrB3d3d4UkbS0tLezevVv0uTNmzBh8/vw5t0MlIiIiIg3GxAoNNWbMGHz58kX+RWPw4MF4/vw5bty4gUmTJqFGjRq5EoepqSk6deqEjRs34v379zhy5Ahq1qwJ4Hsli127duHy5cu5EgsREVFG3rx5gx49eiA+Ph7169fH2rVr1R6jbNmyknONh4WFYeDAgWrP8S01X3ZycrLacaUVExODiRMnolatWqhWrZrS9S5evIjHjx8D+D4NSHaRuoCwf/9+0d2WRERElHXZWS0yMTERgwcPFn2X19LSwo4dO9CsWTOVx8rr4xxA+rVR5/VydHSUvOt//PjxePr0qUpjTJo0CVpaiqfo3NzcEBISonIcd+/elf/f1NQUY8aMUblvipo1a6JNmzYKbU5OTrh69SoaNmwIOzs7tcYbMWKEfCrZFB8+fECXLl0QGRmp0hjr16/HtWvX1Nqf7HgPZYXU+xrInrjc3d1x5coVlSuxpK1aERQUhGXLlgHIfLWKtNP/5rR3795h+PDh0NHRgYeHh2TlEmtra2zYsEGh7evXrxg5cmRuhUlEREREhQATKzTQlStXcPbsWchkMlhYWODSpUtwd3dH9erV8zQumUyGnj174uHDh/Ivb4IgYNasWXkaFxEREfD9JG+HDh0QFBQEXV1d7N27F3p6epkaa8yYMahfv76o/ebNm/jf//6n1lhS82Wre5dfWomJiRgxYgSePXuW4V2cCxcuBAAUK1ZMdKI9K7p16yZqi4uLw/Lly7NtG0RERPRdVo8dUnz58gXt2rXDwYMHFdr19PSwd+9eycTJ9OT1cY6y7YWFham1TScnJ/lNJCkiIyPRrVs3lZJGbWxsMGHCBIW2qKgoyWRdKeHh4fjnn3/kz+fOnYsSJUqo1DettNOYBAcHA1C/WgUAmJubS04Xc+vWLbRq1QrPnj1Lt7+zszNmzZoFW1tb9OnTR+l6aRMW1ElIyQlS72sg6+/t27dvY+LEiTA2NkanTp1U6tOuXTs0aNBAoS05ORnm5ubpvqbpiYmJUXiemJiYqXGAjJOYYmJi0KtXL4SGhmLJkiWwt7dXuu7w4cPRpUsXhbazZ8+yKh4RERERZRudvA6Asp+LiwuA73coXL9+PcO7M3Kbrq4uXFxcEBMTg927d+Px48e4ePEi2rdvn9ehEVE+Y2ZWNK9DICU07Wdz79499OjRAwEBAQCAxo0bi06Oq0Mmk6Fjx47w9vYWLVuxYgVq166t8hQjHz58ELWpevejlLCwMAwZMkQ+r3J6d7sdOHAAXl5eAABbW1toa2tnertpWVhYwNLSEp8+fVJo37JlC8aPH59r1bWIiPKMilMwUh7QsJ9NYGCg0gu9qoqPj8fOnTvx66+/ii5aV6lSBQcPHlS7mgGQt8c5KXx8fERt7969U2u7hoaGOHDgABo3boy4uDh5u6+vL9q0aYNLly6hdOnS6Y6xbNkynDp1SuE1Wb16NXr37i2ZsJvaypUr5dtt1KgR5syZo1b8qf3444+oUKEC3r9/L28rXrw4+vfvn6nxli1bhrNnz+Lt27cK7Q8ePED9+vUxaNAgDBo0CDY2NjA3N0dQUBBu3LgBZ2dn3LhxA1paWti0aRN0dJSfwoyOjlZ4nnZalNwm9b4Gvr+3HRwcMjXmqVOnMGDAAERFRaF3795qTYsyd+5cURLF8OHDYWBgkKlYUr4zpchKIktgYCDKli2rdPnIkSPx6NEjNGrUCD///HOG423atAnVq1dXqBoyZ84c2Nvbo2HDhpmOk4iIiIgIACCQRklKShKMjY0FLS0tYdWqVXkdTrqioqIEKysrQUtLSxgzZkxeh0NERIVQdHS0sHDhQkFHR0cAIH80btw4y2OPHz9eYczUD11dXeHAgQMZjvH+/XtRbAAEbW1t4dChQyrHkpCQIDx9+lRYvny5ULx4cfk41atXV9rn7du3grm5uXxdc3Nz4du3bypvMyPBwcGCrq6u5OtTr149ITw8PNu2RUREVJht2LBB8u/tmDFjhL///lv48OGDkJycLOoXHR0tXLt2Tfj5558FKysrUf+iRYsKy5YtE2JjYzMVV14e56S4c+eOIJPJJGN4/fq12vu0bt06ydfayspKOHXqVIb9Hzx4IJiYmCj0LVu2rPD8+XOlfc6dOyfo6ekJAARra2vhw4cPased1vLlyxVimDlzZpbGu3fvnmi/VH0sW7Ys3bGfPn0q6qOnpyf4+PhkKeasGDt2rOS+tGrVSggKClJ5nODgYOHvv/8WOnXqpDCOKt8jUktKShKqVasm7y+TyYRXr16pu1uCIAjCq1evRPtVunRpITo6OsO+Ut+P9u/fr3T9uXPnytdbu3atyjG2bNlStJ0yZcpky+8GERERERVuTKzQMK9fvxZkMpmgpaUlvHv3Lq/DydDvv/8uyGQyoUaNGnkdChERFRLx8fHCf//9JyxbtkwoXbq00pO4M2bMEJ48eSKEh4dLXmyQEhYWJrx8+VJYtmyZoK2tneGJYkdHR+HUqVNCQECAEB8frzDWo0ePhFq1aqXb39TUVKhatapQp04doX79+oKdnZ38UbduXcHGxkawtLSUvGgBQPj1118VtpmUlCQ8efJEWLlypVCqVCnR+rVr1xb27NkjvH79WoiLi8vUax8YGChcunRJaNq0abr7VqVKFWHnzp3Cu3fvhJiYGLW3RUREVNh9+/ZNcHJykl90T+9haGgoVK5cWahbt67www8/CGXLlpVMONDS0hIcHByEzZs3C5GRkZmOLS+Oc1L7+vWr4OrqKlhYWCjdfqVKlYTjx48LERERKu9XcnKy0LlzZ6Vj1q1bV1i5cqVw584dpUmknp6eorjMzc2F9evXC1FRUQr7sHjxYvnP187OTvD19VX9h5COoKAgwcDAQH4RPjNJJmndu3dPKFGihFpJFbNnz1Z6HB4WFiacOHFCqF69umRfa2tr4fDhw0JoaGiWY1dVdHS08Mcff6S7T9ra2kLZsmUFW1tboV69egrv6/r16wu1atUSKlWqJJiamkr2NzAwUOs9mWLHjh3yMdq2bZup/Xvy5Ing4OAgGVfPnj2Ft2/fSv68wsLCBBcXF8nvR5aWlsKFCxcUvlv4+PgII0aMUFivfPnywvXr19P9DhIRESHs3btX/t5N+yhXrpywe/du4cuXL5nafyIiIiIimSAIAkhj3L17F/b29pDJZIiLi0u3VGJ+cPHiRXTs2BHGxsaIiIjI63CIiKgQGDFiBNzc3NTq4+PjA2tr6wzX09HRQVJSUqbiWrduHZ48eYL//vsPX758USi/nFO8vb1Rr149+fPdu3dj+PDhKvW1traWLJ2dnkWLFmHx4sVq9QGAYcOGqf0zIyIiKozi4uJQpkwZJCYmIiwsLFNj6OjowMDAACYmJrCyskK5cuVga2uLBg0aoHnz5ihRokSmxh09enSeHucAQLNmzeDl5YXk5GS1xtLW1sa0adOwdu3aDNf98uULateujcDAwHTXK1asmNIpFAICAjB9+nQcOXJEFIe1tTVkMhnev3+PhIQEmJqaYvbs2Zg7dy709PRU36kMpBwzt2/fHhcuXMiWMf38/DBjxgwcPXo03fVKlCiBlStXYuTIkZLLe/funeEYqXXt2hWnT59WK1ZV3b59G9OnT0dMTAzevHkjmpYku3Xv3h0nTpxQu198fDwsLCwQHh6Ow4cPqzRNTopt27Zh8uTJCtNrKJP6d+XGjRvo2LEjYmJiMuwnk8nQo0cPODk5pfu9q1mzZrhx44aoPS4uTq2pTdzc3DBs2DC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",
      "text/plain": [
       "<Figure size 2100x1050 with 1 Axes>"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig.savefig(\"runtime_feedback.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
}