{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b3edae65-ec1c-4318-b825-1ea20cea1f3c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "pd.options.display.float_format = '{:.3f}'.format\n",
    "def extract_arch(model):\n",
    "    vit, size, patch_size, *rest = model.split(\"-\")\n",
    "    return vit+\"-\"+size+\"-\"+patch_size\n",
    "plt.rcParams['figure.dpi'] = 200"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "62911961-311b-43dc-acf4-7af886be969d",
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset_type = pd.read_csv(\"dataset_type.csv\").set_index(\"dataset\")[\"type\"].to_dict()\n",
    "df = pd.read_csv(\"benchmark.csv\")\n",
    "vtab_plus = list(map(lambda s:s.strip(), open(\"datasets.txt\").readlines()))\n",
    "df = df[df.dataset.isin(vtab_plus)]\n",
    "df.loc[:, \"dataset_type\"] = df.dataset.apply(lambda d:dataset_type[d])\n",
    "df.loc[:, \"model_arch\"] = df.model.apply(extract_arch)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "84305a59",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_retrieval = df[df[\"dataset_type\"] == \"retrieval\"]\n",
    "df = df[df[\"dataset_type\"] != \"retrieval\"]\n",
    "df = df.drop([\"image_retrieval_recall@5\", \"text_retrieval_recall@5\"], axis=1)\n",
    "dataset_type = {k:v for k,v in dataset_type.items() if v != \"retrieval\"}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a550373-8f81-4465-98e4-1c4e9e0f4e5a",
   "metadata": {},
   "source": [
    "# Accuracy of all models on all datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c9373820-7e48-480a-b2e9-6bec50b3dc63",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='dataset', ylabel='acc1'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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n6NWrF06dOpXreHJyMiIiIhAREYEVK1Zg//79eR7akBdXly5dcOXKlVzHo6KiEBUVhfDwcAQHB0NLS711lenp6WI7vzEyMjLg6OiIAwcO5Dp+9epVXL16FX5+fjhy5AiqVKmiVizyLFmyBD///DOysrJyHY+Pj0d8fDwuXrwIb29vpKWlwcjISKWx3759K64g19LSQt26ddWKUZXPEABmzZqV5yGMuLg4rFy5Elu2bMGePXvQvn17tWLJT1xcHDp37pwr4f/69WtERkYiMjISwcHBCAgIULn6RFpaGoKDgwEANWvWVBj/8+fPAQCVKlVSOp7s+cjISIWJeUWCgoLg4uKC9PR0NGvWDAcPHkTFihVVGoNKBq5IJyIiIiIiIiIiIqISx8nJCQYGBgDyL++ec7506dIYMGBAkcdWUmVmZmLkyJHIysrCL7/8gvr163/0GN6/fw9ra2vMnj0be/fuRVRUFE6dOgU/Pz9xFeylS5fE0tLqjN+jRw8xid6hQwfs3LkT0dHRCA0NFfeNjo2NhZ2dHV69eqV0vH79+iE2NhbfffcdDh06hAsXLmDr1q1o0KABAGDPnj1Yt26dWrEC2UnKHPn9PP73v//hwIEDcHBwQFBQEKKjoxEUFITOnTuL9+To6FjoVfI5rl69KibRa9WqhUWLFuHIkSO4dOkSTpw4gY0bN8LNzU2lBHpmZiYePHiAbdu2oU2bNrh9+zYAYOjQoShTpoxacaryGYaFhcHLywv16tXDhg0bEBUVhcOHD2P06NHQ0tJCamoqevToUWSrp52dnREXF4cxY8bg8OHDiIqKwoYNG8SHCAIDAzFp0iSVxw0MDMSbN28AZD+MpKgUfk4FgJcvXyodT/b89evXVYrFx8cHAwcORHp6Otq1a4eIiAgm0UkhrkgnIiIiIiIiIiIiohLH2NgYvXv3xrZt23DhwgXExsaKyUdZ169fx8WLFwEAffr0UTuZ9rHExMQUdwhq++uvv3Dt2jXUrl0b06dPL5YYjh49KrekdJs2bTB48GD4+Phg2LBhiIyMxJEjR2BnZ6fS+KtXr8aZM2cAZCcUfX19xaSilZUVevbsienTp2Pu3Lm4c+cOZs+ejfnz5yscL2fVua2trXjM0tISXbp0QcOGDZGYmAhvb2+MHj1apTgB4MqVKwgLCwMANGrUSOl+6jmxjBo1CmvWrBGPWVlZoU+fPhgxYgQ2bNiAS5cuYc2aNRg/frzK8XwoMDAQWVlZMDQ0xJkzZ/KsYm7bti2GDh2Kly9fyt2PO8e9e/dQq1Ytheft7e2xaNEitWJ88+YNli5dCgDQ09ND7969lfaPjo6GpaUlIiMjcz0AYGdnBxsbG7i7uyMtLQ0///wzdu7cqVZMykRFRWHr1q1wcXERj7Vo0QIDBw5Eu3btcOXKFaxcuRIjR46EhYVFgceVLeuurKpHgwYNcObMGcTGxiIpKQkVKlSQ2+/48eNi+8GDBwWOY+HChfjll18AAN27d0dgYKD4QBWRPFyRTkRERERERJ89x13rxBcRERFRQckmdBStSpc9/jmUdbewsCjQ61Nz+/ZtzJ49GwCwcuXKYktuKduXGchemdy8eXMAEEtVq2LlypUAgPLly2PFihVyV+b+/vvv4srldevW5SoN/qGJEyfmSqLnMDU1xdChQwFkr9zOb4Xvh9LT0zFixAi8f/8eADB37tx8r6lUqRKWLFki99zSpUvFpKi3t7dKsSjy5MkTAEDdunWVlgIvW7asWqXtzczMEBAQgAMHDqBs2bJqxThlyhQx0Tt+/HhUq1Yt32vWrl0rdxW9m5sbunXrBiD7u/f48WO1YlKmR48euZLoOcqUKYO1a9cCALKysrB69eoCj/ngwQNxVX6bNm3wzTffKOyb86DB+/fv8b///U9un1u3bsHHx0d8n5aWVqA4fv31VzGJ7uLiguDgYCbRKV9MpBMRERERERERERFRieTg4CDu1+zv7w+pVJrrvFQqhb+/PwCgSpUqsLe3/+gxlhRjxozBu3fvMHDgQLGEenGTSqV48uQJbt68iZiYGPFVtWpVAMizL3l+Hj16hNjYWADZWwsoqm6gra0tJsFTUlLEigjyDB48WOE5KysrsR0XF6dSrBMmTEB0dDQAwMPDA7169cr3GicnJ4Urv42MjODk5AQgu8qDJpLAOb+7169fx/nz59Uep1q1arh27RquXbuGS5cuYe/evZgwYQLevHmDcePGYf78+Xn+NhSEv78/VqxYASB7pfWcOXPyvcbCwiLXz+1Dw4YNAwBIJBJERESoHFN+cr538rRq1QqNGjUCABw+fLjAY/r5+YmfX34PI40dOxbVq1cHkP1AgZubG65evYqMjAw8e/YMW7ZsQfv27fHq1Svo6ekByN7LXpmsrCyMGTMGf/75JwBg3Lhx8Pf3h66uboHvgUoulnYnIiIiIiIiIiIiohJJW1sbrq6uWLRokbhqUnZ1b0REBB4+fAgAcHV1hba29keJKzMzEzdu3FB4vl69egqTQAVN+Cnao7gwc6vL19cXR44cgbGxsVgGuziFhYVh1apVOH78uNLVrsnJySqNK1t239raWmlf2fMxMTFo3bq13H7K9tw2NTUV2wVdtQsAf/75J9avXw8gOxmfs4o+Py1btlR6vlWrVuJYMTExYiJcXS4uLvjzzz+Rnp4OGxsbdO3aFY6OjmjXrh0aNmyo8Dv+IV1dXTRu3Fh836xZMzg6OmLkyJHo2LEjpk+fjtu3b2Pjxo0Fji0iIgLDhw8HAJiYmBS4hHhBPsMcRbGNQ0Hm//vvv3Hr1i1kZGSIyWxlcqp6lCpVCs7Ozkr7GhsbIzQ0FN27d8eTJ0/g5+cHPz+/PP3GjRuH48ePIyYmRul2GxKJBC4uLtixYwcAYPr06fjjjz/yjZkoB1ekExEREREREREREVGJ5eHhIbY/LO9eXGXdExISlJZlT0hI+GLmTkpKws8//wwAmD17trjauzhIpVKMGDECPXr0QFhYWL7J5/xWwn7o+fPnYltZKXIAqFy5stzrPqRs72/ZcuY5Jdrzs2bNGvz6668Ash+a2L9/PwwNDQt0bcWKFZWel71nZfdUUPXr10dAQABMTEwgkUiwd+9ejB07Fo0bN0bFihXh5uaGEydOqD1+kyZNxKSrj48PwsPDC3RddHQ0evXqhfT0dBgaGmLfvn357i+f42N/hurOL5VKkZKSku9458+fxz///AMA6NWrF8qVK5fvNc2bN8eVK1fwww8/5HnYwsLCAps3b8bKlSvFqgYmJiYKx0pISBCT6N27d2cSnVTGRDoRERERERERERERlVgWFhZo2rQpACAwMFBMjr59+xa7du0CADRt2hRNmjQpthi/ZOvXr8ezZ89Qrlw5mJmZYdu2bXle586dE/ufO3dOPP706VONxrJx40Zs2LABQPaqZF9fX8TGxiI1NRUSiQRSqRRSqRRubm4ACr76X578VksXZmx1BQQEYNy4cQCAmjVr4vDhw+K+5gVRHPfUv39/xMXFYc2aNejXr58Yb3JyMvz8/NC+fXt4enoiKytLrfFz9uwGsv8+5Ofvv/9G165dkZaWhlKlSiE4OBjffvttgecr6Cr6oqLpn+HmzZvFtioPI1WsWBFLlizBo0ePkJiYiBs3buD58+e4evUq3Nzc8PjxYzx79gwAlD6kUKlSJdjY2AAA9u3bh0WLFqkUPxFLuxMRERERERERERFRiebh4YFJkyYhNTUVoaGhcHZ2RkhICFJTUwF83NXoAGBubl4sidTimDs9PR0A8OLFCwwZMiTf/qtXr8bq1asBAMeOHct3Ba0q1q1bBwD4+uuvcfr0aYWluAuyElce2VLrT548Udo3MTFR7nVFJTQ0FO7u7sjKykKVKlVw5MgRca/qgpKNWR7ZBx80eU9ly5bFqFGjMGrUKADZe6aHhoZi+fLlePToETZt2oTmzZvj+++/V3ls2QcJ7t+/r7TvnTt30LlzZzx79gw6OjrYvn077O3tVZovv8+wqL8XiYmJqFGjhsLzOT9DQRCUrgQHsreJ2L59O4DsxHjXrl3ViqlixYp5fs9lKw0o2yZBX18f+/fvR5cuXXDmzBn8/PPP0NbWxg8//KBWLFTycEU6ERERERERfbJ8NzmILyIiIqKi4urqCh2d7HVnOeXcc/7N2Uedvnx///03gOxVyIqS6FKpFBcvXlRrfNl9uGVX2ctz/vx5udcVhSNHjsDJyQkSiQRmZmY4dOgQvv76a5XHiYqKKvD5orynhg0bYurUqTh79qxYlj6nvLeqZLcyMDIyUtgvPj4ednZ2ePz4MbS0tLBp06Zcq9kLqrg/w4LOX6dOnXz3Rw8LC0NycjKA3H9jNWHr1q1ie+DAgUr7lilTBgcOHBAT7j/++CNWrFihsVjoy8ZEOhERERERERERERGVaJUqVYKDQ/aDewcPHkRMTIy4H7KDg0Ou/apJs7y8vMSS6YpePj4+Yn8fHx/xuK2trUZjkUgkAIA3b94o7BMaGopHjx6pNX7VqlXRoEEDAMDOnTsV7sH+/v17+Pr6Asje/9nS0lKt+Qri9OnT6N27N9LT02FsbIyDBw+iUaNGao21c+dOhfvGv379WkxmN2zYMM/e10WhRo0aqFu3LgCICV1V7dy5U2xbWFjI7fP06VPY29uLK9ZXr16t9sM3165dw6VLlxSe37hxI4DsB3w0/f0HgE2bNik8Fx0djZiYGAAo0Ep72bLuHh4ehQ/uX+fOnUNoaCgAwM7ODvXr18/3mpzvdsuWLQEAEydOxKpVqzQWE325mEgnIiIiIiIiIiIiohIvJ9EjkUgwaNAgMan6scu6U/GpU6cOAGDPnj1yy7ffuXNH3ENcXePHjwcAJCUlYeLEiXLL6M+aNQvXr18HAIwcORKlSpUq1JyKXL58GY6Ojnj9+jUMDQ2xb98+WFlZqT3ekydP8NNPP8k9N2nSJLEs+NixY9WeQ1ZwcDBevHih8PzDhw/xzz//AABq1aqV59rHjx8rHf/48eP4/fffAQA6OjpwcXHJ0+fFixfo0qULbty4AQBYsmQJRo4cqcpt5DFq1Ci8fv06z/GtW7di3759AIA+ffoUycMIoaGhclfvv3r1Siydr6WlhdGjRysd5/nz5wgLCwOQ/QBCs2bNChzDgwcPFJ67ffs2BgwYAKlUCj09PSxbtqzA45YtWxbh4eHid3z8+PHidg5EinCPdCIiIiIiIiIiIiIq8Xr16oVy5crhxYsXYolvY2NjtcozlySvXr1CYGBgrmO3b98W24GBgShfvrz4vlmzZiol1T4md3d3/PLLL0hISECbNm0wefJkNGrUCO/evcPRo0exdOlSpKenw9LSUu3y7mPGjIG/vz/OnDmDTZs24f79+xg/fjxq166Nx48fY+PGjdi9ezeA7L3af/vtN03eoujOnTvo0qWLmIj+448/ULZsWXHFsTzy9qqW1aJFC6xatQpxcXEYM2YMatSogYcPH2LVqlU4ePAgAKB58+YYM2aMRu5h6dKlGDx4MBwdHdGpUyc0aNAAZcuWRUpKCqKjo7F8+XJxhfyHyfvg4GA4OzvD0dERdnZ2aNSoEcqVK4f09HTcuXMHe/bswY4dO5CVlQUA+O2331CvXr1cY6Snp8PR0RGXL18GAAwePBj29vZKP0NDQ8M8SX1ZLVq0QHR0NFq0aIEpU6bAwsICL1++RGBgINasWQMgu1T5woULVf68CqJFixZwdXVFZGQkBgwYAGNjY1y9ehXz588XHxYYP348mjRponScbdu2ISMjA4Dqq9HHjRuH+/fvw93dHS1atEC5cuXw9OlTHDx4EGvWrMGbN28gCAJWr16Nhg0bqjR2uXLlcOjQIdjZ2eHSpUsYPXo0tLW1MWzYMJXGoZKDiXQiIiIiIiIiIiIiKvH09fUxcODAXCsUBw4cqHCvbMqWnJyMoUOHKjz/yy+/5Ho/c+bMTzaR/v333+PQoUMIDw/HP//8kye5ZmBggM2bNyMsLEztRLq2tjb27t2LXr164dSpU4iIiEBERESefg0aNMD+/fuV7stdGCdOnBBXiAPZ+0bnZ+bMmfDy8lJ4fs6cOVi0aBEOHDiAAwcO5Dlfv3597N27V6N7Zb958wY7d+7MVYJdlra2NmbPni33gZiMjAwEBQUhKChI4fgGBgaYPXu23JX2jx8/xunTp8X3/v7+8Pf3Vxpvhw4d5P68czg6OsLR0RGzZs2S+3tlbGyM0NBQmJubK51HXTt27ICdnR28vb3h7e2d53z//v2xePHifMfJKeuura2NwYMHqxxHTEwMJk+eLPecqakpVqxYIbdCQEGYmJiIyfQrV65g5MiR0NbW1mj5efpysLQ7ERERERERERERERHyrpxkWfeSRVdXF2FhYVi2bBlatGiB0qVLw8DAAN988w3GjBmDixcvYuDAgYWex9TUFMePH8eWLVvQtWtXVKpUCbq6ujAzM4OtrS1WrFiBy5cvo2bNmhq4q49HT08P+/fvh7e3N7799luUK1cOpUuXhoWFBf744w9cvHgRVatW1dh8O3bsgL+/Pzw9PdGsWTNUrlwZOjo6MDIyQuPGjTFu3DhcunQJ06ZNy3PtwoULsX37dowePRotW7ZEjRo1UKpUKRgYGKBatWpwcHDAvHnzcOfOHYXl6ouKl5cXDhw4AEdHR1SqVAl6enowNzfHuHHj8Pfff6NDhw5FNnetWrVw4cIF/Prrr2jQoAFKly6NsmXLon379vDz80NgYGC+D0LcunUL586dAwB07twZlStXVimGadOmYdKkSWjZsiUqV64MXV1dVKhQAd9++y3mzp2Lf/75R+0keg4zMzMcPnwYFhYWyMrKwrBhw+Dn51eoMenLxBXpRERERERERERERJ+pOQPzrvok9dnY2Mjdszo/ql6jbEWqOtQZT537lMfc3FxjYyni6ekJT09PjYyV32elo6ODiRMnYuLEiQr7+Pr6wtfXV+H5gnweWlpaGDJkCIYMGZJv3w95eXkpXRmew9bWVmEsmvpM5c0xduxYje2DrkzFihXh6uoKV1dXla8tX748nJyc4OTkpPb8mvzufzhOly5d0KVLF42MnZ8Pv08mJiaYM2cO5syZo9Z4derUKdTnYmNjAxsbG7WvB/L/HQWyvwNXr14t1Dz05WMinYiIiIiIiL4oPQP/K82oJ1QrxkiIiIiIiIiI6HPF0u5EREREREREREREREREREQymEgnIiIiIiIiIiIiIiIiIiKSwdLuRERERERERERERERE9FG9ePEC8fHxal3buHFjDUfzecrMzMSNGzfUurZWrVowNDTUcEREXxYm0omIiIiIiIiIiIiIiOijCg4OxtChQ9W6ViqVajiaz1NCQgIsLCzUuvbYsWOwtbXVbEBEXxiWdiciIiIiIiIiIiIiIiIiIpLBRDoRERERERERERERERF9VJ6enpBKpWq9KJu5ubnanyFXoxPlj4l0IiIiIiIiIiIiIiIiIiIiGUykExERERERERERERERERERyWAinYiIiIiIiIiIiIiIiIiISAYT6URERERERERERERERERERDJ0ijsAIiIiIiIiIip5Fgc9yfV+Ut/KxRQJERERERERUV5ckU5ERERERERERERERERERCSDiXQAgiB8JQjCQkEQYgVBeC0IwnNBEM4LgvCzIAilNTRHQ0EQlguCcE0QhFRBEDIEQUgSBOGYIAg/CoJQRhPzEBERERERERERERERERFR4ZT40u6CIDgC8AdQVuZwaQAt/32NEAShu1QqvVuIOX4CMA95P+/yAGz/fX0vCEIvqVR6Vd15iIiIiIiIiIiIiIiIiIio8Er0inRBEJoC2IHsJPorANMBtAFgB2Ddv93qAQgTBMFIzTmcACxEdhI9A8ASAI4ArAG4Ajj5b9eaAA4IglBW3jhERERERERERERERERERPRxlPQV6UuRvfpcAsBBKpWekTl3VBCEWwAWAKgPYBKA39WY4zeZdj+pVBom8/48gABBEHYB6AegCoDhABarMQ8RERERERHRJ63/rvNi20brq2KMhIiIiIiIiEi5ErsiXRCElsguqQ4AGz5IoudYBCD23/YPgiDoqjiHMYDG/769+EESXdYsmXYbVeYgIiIiIiIiIiIiIiIiIiLNKskr0vvItH3kdZBKpVmCIGwG8CcAE2Qn3g+pMIeeTFvZHut3ZNqlVBifvmDxK4b990a/+OIgIiIiIiIiIiIiIiIiKmlK7Ip0AO3+/fc1gAtK+kXKtNuqMoFUKk0G8Pzft7WVdP1apn1TlTmIiIiIiIiIiIiIiIiIiEizSnIivcG//96WSqUSJf3+kXONKtb++6+lIAjdFPTJ2Uf9PYD1qk4gCEJ1ZS8AldWIm4iIiEqA6Tu7ii8iIiIiIiJSjyAIEAQBXl5exR0KyeHp6QlBEGBubl5kc5ibm0MQBHh6ehbZHJ+Ke/fuid95X1/f4g7ns1Wc3xlfX1/xZ3jv3r2PPn9R8PLyEu+JSFNKZCJdEAR9AOX/fRuvrK9UKk1B9qp1AKihxnRzABz+tx0kCMJCQRC6CYLQUhAEZ0EQIgAMQHYS/TupVBqraCAlHubzilJjTCIiIiIiIiIiIqIvzujRo8Vky7Fjx1S69siRI+K1EyZMUNo3p19hXgVJcNna2iq8XldXFxUqVECHDh2wYMECpKSkqHS/isTGxmLFihXw8PCApaUlqlevDn19fRgaGqJ27dpwdnZGSEgIpFKp0nEePHiAVatWwdnZGfXq1YOhoSH09fVRvXp19O7dGwEBAZBIlK2DI1VJJBIcOnQIv/zyC9q1a4cKFSpAV1cX5cqVg6WlJX7++WfcuXMn/4E+U5GRkfjzzz/Rt29fNGrUCJUqVYKenh7Kli0LCwsLjB07FhcuKCtirNzkyZNz/Q5GRERoLvhPkDp/15Q5efIkhgwZglq1asHAwAAmJiawtLTErFmz8OzZs490V0T/Kal7pJeRab8qQP/XAAwBGKk6kVQqffXvSnRPAFMB/PTvS9ZuAAukUuk5VccnIiIiIiIiIiKikqt78K/FHUKR2ddnbpGM6+7ujrVrswuJbtmyBR07dizwtX5+fmLbzc1N47FpmkQiQXJyMo4fP47jx49j8eLFCA4OxrfffluocefMmQN/f3+55+Li4hAXF4cdO3agQ4cO2L17N0xNTfP0mzFjBv744w+5yfaEhAQkJCQgNDQUixcvxq5du/DVV18VKmYCkpKS0KBBA7kJyZcvX+LSpUu4dOkSli9fjgULFuD7778vhiiL1uDBg5GQkJDneGZmJmJiYhATE4M1a9ZgwoQJWLp0KbS0Cr4e9cqVK1iyZIkmw/3i1K1bV+7xzMxMjBs3DuvX5y7a/O7dO/F7uXr1agQGBsLGxuZjhEoEoOQm0vVl2hkF6J/+778Gas7XAoALFO+Tbg8gURCEWKlUmqrG+PmtlK8MrkonIiIiIiIiIiIigo2NDb7++mvcuXMHgYGBWLlyJQwM8v9Pv2/fvsWuXbsAAPXq1YO1tbV4Tl4y+Nq1awrHGjp0KKKjo/PtV61atXzjUjZnRkYG7t69iy1btiA0NBSJiYlwdHTEjRs3UL58eQWj5E9HRwfW1tawsbGBhYUFKleujAoVKiAlJQX//PMP1qxZg5iYGERGRqJnz544ceJEnoTko0ePIJVKYWhoiL59+8LOzg516tSBvr4+YmNjsWzZMkRFRSE6Ohr29va4ePEijIxUXuv20XwO5bHT09PFJHqzZs3Qu3dvWFtbo1KlSnj58iX279+P5cuX4927d/jhhx9gYGCAUaNGFXPUmmVoaIguXbqgdevWqFOnDqpUqQJjY2M8efIE58+fx5o1a5CYmIjly5ejdOnSmDdvXoHGzcrKwsiRIyGRSFCxYkU8ffq0iO/k06Ds71eOTZs2YeHChQAADw8PuX0mTpwoJtHr1KmDX375Bc2bN0d6ejqOHj2KRYsW4cmTJ+jZsyfOnz+Pb775RnM3QaRESU2kv5Np6xWgf6l//32r6kSCIAwA4PfvGFcBzARwHEAashPgzsjeI30sgPaCINhLpdInqswhlUqVlqfnfhBERERERERERERE/3F3d8fMmTORlpaGkJAQDBo0KN9rgoODkZaWBqBgq9EbN26s8JyhoWGB+qlK3liWlpYYMGAAPDw8sHnzZjx//hwbNmzAlClT1J5n/fr10NGRn16wt7fH2LFj4eTkhN27d+P06dMICwtDz549c/UzMzPD/PnzMXbsWJQpUybXOSsrK7i4uMDV1RU7duzArVu3sGTJEvz2229qx0zZuYLOnTvj999/l1uVoGPHjujfvz86duyIt2/fYvLkyXBxccnz8/mc/f333wq/u46Ojvjuu+/QqlUr3L17F4sXL8bkyZPlVlT4UM6DH/Xr10ffvn3x559/ajr0T1JB/n4dP34cQPb3b8iQIXnOR0dHY82aNQCAJk2a4MSJEzA2NhbP29jYoG/fvvj222+RkpKCSZMmITQ0VEN3QKRcidwjHdlJ7BwFeYQt53/VFKQMvEgQhEoAfJGdRP8bQBupVBoslUqfS6XSTKlUelcqlf4JoCcAKYBGAJarMgcRERERERERERERqcbNzU1cgLRly5YCXZPTT1Ey6FM3efJksX3uXOF2GVWUiMyhra2da76cRJqs+fPnY/LkyQqTtNra2vD29oaeXvZauMDAwEJETEB2hYPw8HClpf2tra0xbtw4ANnl3g8fPvyxwvso8vvumpmZiavwMzMzcebMmXzHfPjwofiQx6pVq8TvLAE3btzA+fPnAQC2trZyt2jYtGmT2F60aFGuJHqOxo0b44cffgAA7NmzB3///XfRBEz0gRKZSJdKpe8AJP/7trqyvoIgmOC/RPpDFacaJHPtXKlU+lpBPEcAHPn3bb9/5yQiIiIiIiIiIiKiIlCrVi20bdsWABAeHp5vGebExEQcOnQIANChQwfUrFkz13lBECAIAry8vIokXk0wNzcX2+/evVPcUUNkV92rO5+ZmRmaNGkCALhz545G4pLn9evX2L59O0aMGIFmzZqhbNmy0NXVRYUKFdChQwcsXLgQr14pX2dnbm4OQRDg6emptN+ePXswYMAAVK9eHaVKlYKZmRlat26NefPmKZ3D19dX/J7du3cPWVlZWLt2Ldq0aQMTExMYGhqiSZMmmDNnDt68eaPOxyDq2LGj2C7o575z507Y29ujYsWKMDAwQP369TF16lSkpKQUKhZFbt68iYkTJ6Jx48YwMjKCnp4eqlatimbNmmHYsGHYvn070tPT8x9IDlW/u+PGjcOrV6/g4eEBW1tbteYEgKioKLi4uKBGjRrQ19dHjRo14OnpidjYWLXHLKj09HQsXLgQlpaWKFu2LIyNjWFtbY2VK1fi/fv3ao+7efNmsa2orHtUVPbOxPr6+ko/v65du4ptdR+suXr1KqpUqQJBEFCpUiVcvnxZrXGo5Cippd0BIBZAOwDfCIKgI5VKJQr61f/gGlU0kGlfzKfvBWTvla4FoC6Awj0SSEREREREREREREQKubu748SJE5BIJAgICMD333+vsG9AQAAkEol43edIdg9veatCNS0gIEBs169fX0lP5XKSoR/usa5Jjo6OiIyMzHM8OTkZx48fx/Hjx+Ht7Y19+/apfS/v3r2Dq6srgoKCch1//vw5zp49i7Nnz2L58uUICwtDs2bNlI71+vVrdO7cGUePHs11/Nq1a7h27RpCQ0Nx9OjRXAlhVcgmoAvyuQ8fPhwbN27MdezGjRuYP38+Nm/ejMOHD6Nhw4ZqxSLPzp07MWTIEGRkZOQ6/vjxYzx+/BhXrlyBj48Prl27pvLWCVlZWdixY4f4Pr+f944dO7B3716Ymprir7/+UmkuWRs3bsTo0aPFvzMAEB8fj02bNmHbtm3YtGkTnJ2d1R5fmZSUFAwYMAAXLlzIdfz8+fM4f/48tm3bhn379qlc4l8qlcLf3x9A9sMJ/fv3l9vv+fPnALIfnFFWMaBSpUpiW97va35OnTqFHj164MWLF6hZsyYOHTqEOnXqqDwOlSwlckX6v07++68hACsl/TrItE+pOIdscj6/hxZ0FVxHRERERERERERERBrm5OQEAwMDAPmXd885X7p0aQwYMKDIYysKCxcuFNu9evUqkjmSk5Nx5swZDB8+XNwj2szMDIMHD1ZrvKdPn4qrcQuTjM+PRCKBhYUFpk+fjqCgIJw7dw5nz57F9u3bMWjQIGhpaSEuLg59+vRRe3W9h4eHmERv2rQpNm/ejKioKBw8eBBDhw6FIAh49OgR7OzskJCQoHSsUaNGISIiAh4eHggLC8OFCxcQFBSE1q1bA8hOgP7xxx9qxQnkTlLm97l7e3tj48aNaNWqFQICAhAdHY19+/aJSd/Hjx+jS5cuSE1NVTseWYmJiRg6dCgyMjJQsWJF/P777wgPD8fFixdx+vRp+Pn5YdSoUShfvnyBx3z//j0SEhKwd+9edOrUCSdOnAAA2NnZoVGjRgqve/HihfgAzvz581GhQgW17uny5csYM2YMKlasiOXLl+PcuXOIjIzElClTUKpUKaSnp2PIkCFiiXRNGz16NC5cuABnZ2fs27cP0dHR2Lp1K1q2bAkAOHnypFq/wxEREbh//z4AoF+/fjAykr/Tcs4DH6mpqZBKpQrHe/nypdi+fv26SrHs378fDg4OePHiBRo0aICTJ08yiU4FUpJXpAcDmPZveyjkrAAXBEELQM7jhS8AHFNxjjiZdjsAMUr6tv/3XymAeyrOQ0REREREREREREQqMDY2Ru/evbFt2zZcuHABsbGxaNCgQZ5+169fx8WL2QVH+/Tpo/KqzI8pJib3f4LOyMjAvXv34OfnJyZxBwwYgO7du2tsTltbW4WrQ01NTbF7926UK1dOrbH/+usvcYWuk5OTuiHmy8fHR25SzdraGk5OThg+fDi6dOmCGzduwN/fH8OHD1dp/LCwMHGVs52dHfbt25drH20HBwe0bt0ao0aNwvPnzzFp0iRs375d4XinT5/Gli1bMGTIEPGYpaUlunXrhhYtWiAmJgbr1q3D7Nmz890T/EOPHz+Gj48PAKB8+fK5yrzLExUVhe7duyMkJCTXXN26dUOjRo0wY8YMxMfHY/bs2YVasZ0jLCwMr19n76J75MiRPCvOW7dujcGDB+P//u//lCZlgewtGRRp1qwZfH19lV4/efJkPHnyBG3atFH5OyHrypUrqFmzJs6ePYvKlSuLx9u3b48uXbrAwcEBEokE48ePF8uga1JUVBTmzp2LadOmicesrKwwcOBA9OjRAwcPHsSePXsQFhYGR0fHAo8rW9ZdWSWPBg0a4PLly0hLS8OlS5dgaWkpt9/x48fFdmJiIjIyMgq0H/22bdvg7u6OzMxMtGzZEvv374eZmVmB74NKthK7Il0qlZ4HcOLft8MFQWgtp9tP+K88+/9JpdJM2ZOCIHgKgiD99+Ul5/owZCfGAWC6IAjV5MUiCMIoAC3+fXtWKpU+U+FWiIiIiIiIiIiIiEgNsskdRavSZY9/6mXdLSwscr2srKzQv39/BAUFoW7duli/fr3SBK0mTZw4EbGxsWjfvn3+neU4d+4cli5dCgCoXr06xo0bp8HocstvZaq9vb24ij84OFjl8VeuXAkA0NXVhY+Pj9zk38iRI2Fvbw8A2L17Nx4/fqxwvH79+uVKoucoVaoUJkyYAAB49uyZyqt2pVIpxowZg7S0NADAb7/9JlZtUKRUqVJYt26d3IT99OnTxUT3hg0b1N6zXNaTJ08AACYmJkrLtuvr6+cbuzylS5eGt7c3zpw5g+rVqyvsd/LkSaxfvx46OjpYvXq10qR8QSxatChXEj1Hx44dMXLkSABAdHR0kSTSmzRpgilTpuQ5rqOjg/Xr10NXN7ugsre3d4HHfPPmDXbt2gUg+/e3U6dOCvv27t1bbP/vf/9DVlZWnj7JyclYtGhRrmM531NlVq1ahcGDByMzMxOdOnXC0aNHmUQnlZTYRPq/vgfwFtkr88MFQZgmCMK3giB0FARhDYAF//a7CWCRokEUkUql/wDw+fdtNQCXBEH4VRCEdoIgNBMEoacgCP4A1vzb5z2AXwtzQ0RERERfsmPrHcUXERERERFRYTk4OKBKlSoAAH9//zwrWGX3+K1SpYqY6Pwc3bx5Exs3bsTp06c1Om7OXtRXr17F8ePHsXjxYtSpUwcrV67E8OHDkZiYqPKYiYmJGDBgACQSCQRBwKZNm1C6dGmNxq1MUlISbt26hZiYGPGVU7b7ypUrKo0lkUjEFfudO3dGjRo1FPbNSZhKJBJEREQo7KeszLaV1X872d69e1elWOfOnYvQ0FAA2QncnKS8Mg4ODqhatarcc1paWvDw8ACQvQ93TmWHwsj5fU1JSUFISEihxsrZU/7y5cs4ePAgpk6dCj09Pfzyyy+YNm0aMjMz5V6XkZGBUaNGQSqV4scff4SFhUWh4jAxMcmVTP7QsGHDxPbhw4cLNZc8Hh4e0NKSny6sXr06HBwcAGSXan///n2BxgwODhYT3UOGDFE4PpBdJaN58+YAskuwOzo64ty5c3j37h1SU1MREhICGxsbPHr0KNdDKG/fvlUaw5w5czBu3DhkZWWhT58+2Ldvn8Ly8kSKlOTS7pBKpZcEQXAG4AfAGMBcOd1uAnCUSqX5P9oi3zhk78PuDKACgDkK+r0GMEoqlUaoOQ8RERGVcEmr/HK9rzA279PplL8IvySxXa8Y4yAiIiIioqKnra0NV1dXLFq0CA8ePEBkZCRsbW3F8xEREXj48CEAwNXVFdra2h8lrszMTNy4cUPh+Xr16omrRGV9+CBAVlYWkpOTcfLkSfz+++84ffo07O3tERAQgL59++bq+2FZeFm1atUS9zGWd05Wu3btMHbsWAwcOBB79+5Fy5Ytcfr0aaWre2WlpaXB0dER8fHxALKTu8pWs2rKqVOnsGzZMhw+fBjPnz9X2C85OVmlce/evYs3b94AyC4Vr4zseWU/D2X7lpuamortgqzYzeHv74/ffvsNAGBubo6tW7cqTX7myNlHW5FWrVqJ7ZiYGHEfd3X16tUL5cqVw4sXL9C3b1/Y2tqiZ8+eaN++PZo1a6bS7+iHK9odHBwwbtw4dOjQAUuXLsXff/+N/fv35xlz7ty5iI2NxVdffYWZM2cW6n4AoHnz5kpL8Ddr1gx6enrIyMhQ+r1QV0F+hmFhYXjz5g3u3r1boL3FC1rWHcj+OxwUFAQHBwfcvHkTBw4cwIEDB/L069mzJyQSCfbv3w8ASrfZmDRpEpYsWQIA8PT0xPr16z/a32/6spT0FemQSqV7ADQBsATZSfM3yN4PPRrAFADNpVLp7UKMny6VSgcB6ARg879zvAYgAfAcwBkAswHUl0qlW9W/EyIiIiIiIqLi0z34V/FFRET0OclZMQvkLe9eXGXdExIS8pRpl30lJCQUaBwtLS1UrFgR/fr1w8mTJ1G3bl2kp6fD09MTKSkpufoqm0/VctL6+vrw8fFB6dKl8fDhQ0yePLlA17179w69e/fGhQsXAGQnw6ZOnarS3Orw8vJC27ZtsWPHDqVJdCD/VbAfkh2vUqVKSvvKlvZWFoey1fmyye+Crh4OCwvD0KFDIZVKUalSJRw6dEhumXF5KlasqPS87D3n99kWhJmZGUJDQ1GtWjVIpVIcO3YMkyZNQosWLWBqaor+/ftj7969ao9fo0YNsRT/oUOHsGHDhlzn//nnH/z5558AgOXLlyt8wEQV+X2GOjo64gMSmvgMVZ1f1Z/h48ePxZXzLVu2RIMGDfK5AqhZsyaio6Ph5eWV5+Gc2rVrY8mSJQgODsbTp08BZCffjY2NFY6Xk0Rv3LgxNmzYwCQ6qa3EJ9IBQCqV3pdKpZOkUmk9qVRqKJVKTaRSaUupVLpAKpW+UXKdr1QqFf59eeUzxzGpVOrx7xxGUqlUVyqVmkml0jZSqXSGVCqN1/iNEREREREREREREZFSFhYWaNq0KQAgMDBQTJS+fftW3OO3adOmaNKkSbHFqAlGRkYYO3YsACA1NRWBgYFFOl/58uVhY2MDAAgJCYFEIlHaXyKRwMnJCceOHQMAjBgxIs+eyEXhyJEjmDVrFoDshJ23tzeuXr2KFy9eQCKRQCqVQiqViqu1C6Ow+2gXhYiICAwYMACZmZkwMTFBeHg4vvnmmwJfn989fVglQRPatWuH27dvw8/PD66urmK1g9TUVOzevRs9e/ZE165dxUoAqnJwcBD3V//w92TJkiXIyMhA7dq18ebNG2zbti3PS3bV+NGjR8Xjr1+/ljtfQb4XRfE5FnR+Vef29/cXH+JQ5QGkMmXKYObMmbh79y6Sk5Nx48YNJCYm4s6dO/jhhx8glUoRGxsLILsqg7K4+/fvDyC7CsL333+vUvxEskp0aXciIiIiIiIi0jzHXevEdlj/kcUYCRERUcF4eHhg0qRJSE1NRWhoKJydnRESEoLU1FQAH3c1OpBdWrsoEmeyJcGvXbuW61xRzJezr/ibN2+QlJQk7m/9oaysLLi5uWHPnj0AAGdnZ6xZs0bj8cizbl32/24pV64czpw5o3B17ocr+AtKttT6kydPlPaVPS97XVE5f/48evbsiXfv3sHIyAj79+9X+YGRxMREpedzVhADmr0nfX19DB48WNwv/u7duwgLC8OKFStw8+ZNHDx4ENOnTxdXJqtCW1sbJiYmePv2Le7fv5/rXHp6ujifi4tLvmPNnj1bbMfFxcldwZ7fZyiRSMTvX1F8LxITE1G3bl2F51X9GeZU8tDV1S3QZySPmZkZzMzMch27cOFCgbdJCAgIgJOTE4KDg7FixQro6Oio9V0g4op0IiIiIiIiIiIiIirRXF1dxT2Kc5JAOf/m7KP+JZBdFZ6ZmVnk88mWoDcyMlLYb/To0di2bRsAoEePHtiyZUuB9ufWhL///hsA0KlTJ6UlrqOjo9Uav3bt2mIp9nPnzinte/78ebH94f7dmnb16lV07doVr169gr6+Pvbs2ZNvclKe/Mr+y54vynuqXbs2Jk6ciKioKHGF+o4dO9QaKyMjA8nJyQCUf2815fLly0orNly5cgUZGRkAiuYzLOjPsHTp0qhdu7bSvpcvX8bVq1cBAI6OjnmS4YWxdet/uyM7OTkp7aurq4sdO3agV69eAIClS5fil19+0VgsVHIwkU5ERESkwLH1juKLiIiIiIiIvlyVKlWCg4MDAODgwYOIiYlBeHg4gOwyzwXdL/pTJ5swq1GjRpHOlZCQgDNnzgDI3v+4TJkycvtNmjQJ69evBwDY2dkhMDAQurq6RRqbrJwEprIy4JcvX8bZs2fVGl9HRwcdOnQAkL3n9sOHDxX2zfkctLW1YWtrq9Z8BXHz5k04ODggJSUFurq62LVrl9rzhYeH4/Hjx3LPZWVlYdOmTQAAExMTWFpaqhtygRkbG6Nly5YAICbDVRUSEiImri0sLHKd8/X1Fcv9K3rNnDlT7H/s2DHxuLm5udz5nj9/LlZjkGfjxo1i297eXq17UmbLli0KK1IkJCSIfwttbW3z3Wt88+bNYtvDw0NjMd6/fx9r164FANSpUwedO3fO9xpdXV3s3LkTjo7Z/11v4cKFmDp1qsZiopKBiXQiIiIiIiIiIiIiKvFykj4SiQSDBg0SE6wfu6x7Ubl//z68vb3F9927d1drnJs3b+Lo0aNK+7x8+RIuLi5iMtLNzU1uPy8vL7Hccps2bRASEoJSpUqpFZe66tSpAwA4efIk7t69m+d8UlIShgwZUqg5xo8fDyC7CsCwYcPEz0XWxo0bxYRl//79FZbBL6wHDx7A3t4eiYmJ0NbWxtatW9X+LgDZpc5Hjx4t7okta968eeIWAsOGDdPIz/bgwYMKE/dA9ncvZ2V/rVq1cp07fPgwbt++rXT869ev47vvvhPfK/ruatqkSZPklniPjIwUE8hWVlbiQwKadPnyZfz11195jkskEowcOVL8vo4dO1bpOO/fv0dAQACA7NLsOQnsgoiPj1eYzH/69Cl69eqFt2/fAgC8vb0LXLFCT08Pu3btQrdu3QAA8+fPx//+978Cx0XEPdKJiIiIiIiIiIiIqMTr1asXypUrhxcvXojlvo2NjdG7d+9ijqzgYmJicr3PysrCs2fPcOLECSxbtgzPnj0DAAwePBjNmjVTa45Hjx7Bzs4OTZs2RZ8+fWBlZYXKlStDR0cHT548walTp7BhwwZxv+/GjRvLXQW6fPlyzJo1CwBQrVo1LFiwAHFxcUrnrlevnsZXq7u7u2PPnj149eoVOnTogClTpsDKygpSqRSnT5/G4sWL8eTJE7Ru3VpcYa8qR0dHDBw4EDt37sThw4dhbW2Nn376CQ0aNEBKSgq2bdsmrjo2NTXF4sWLNXmLomfPnsHe3l5cFf/TTz+hfv36eb43skxMTFCtWjWF51u0aIE9e/bAxsYGP/74I+rUqYOnT59i06ZNYrn+6tWr47ffftPIPQQEBKBnz57o3LkzHBwc0LhxY5iamiItLQ0xMTFYsWKFuKXAh4nfkydPomvXrrCzs0OXLl3QpEkTmJmZQSKR4P79+wgPD8eWLVvw7t07AMDQoUNhZ2enkbiVadq0Ka5fvw4rKytMmzYNrVq1Qnp6Ovbt24clS5ZAIpFAR0cHK1euLJL5W7RogSlTpuDy5ctwd3dHxYoVcevWLSxevFh8KKFnz57o0aOH0nEOHjwo/t67uLio9Ls6b9487Nu3Dx4eHmjTpg3Kly+P58+fIzIyEt7e3uLfLi8vL5VX5ZcqVQpBQUHo3bs3Dh48iDlz5kBbW1v8+0OkDBPpRERERERERERERFTi6evrY+DAgVi3bp14bODAgTAwMCjGqFTzYRlqeZydnbFhw4ZCz3XlyhVcuXJFaR9HR0f4+PjA0NAwz7ldu3aJ7YSEBLRt2zbfOePi4hSWx1bXgAEDMHToUPj4+CA+Ph4TJ07MdV5bWxtLlixBSkqK2ol0ILvktUQiQVBQEC5fvix3pXPVqlURFhamNHFdGNeuXcOtW7fE9wsWLMCCBQuUXuPh4QFfX1+F58ePH4/IyEj4+vpi0KBBec5XqVIFBw8eRNmyZdWO+0OZmZnYt28f9u3bpzSuD3+WQPaq6fDwcHH1vzza2tqYNGkS/vzzT43Em59mzZphwoQJGDt2LCZMmJDnvJ6eHjZt2qTWHvYFsXbtWgwfPhwBAQHiinJZNjY28Pf3z3cc2bLu6lTyiIuLg5eXl9xzBgYGmDNnDn788UeVxwWyk+nBwcHo1asXDh06hN9//x06Ojoae8CDvlxMpBMRERERERFRgfluchDbnh6K/wMkERHR58jDwyNXIv1zL+suCAKMjIxQo0YNtG7dGu7u7mjfvn2hxrSxsUFkZCSOHj2KkydP4sGDB0hMTMSbN29gbGyMWrVqwdraGq6urrCxsdHQnRStjRs3olOnTli7di0uX76MjIwMVK5cGe3bt8eECRPQqlUrhQm+gtLX18fu3buxZ88e+Pr64uzZs0hOToahoSHq1q2LPn36YMKECTAyMtLMTX1EPj4+cHBwwNq1a3Ht2jW8evUKNWvWRJ8+fTB16lSYmJhobK6lS5eKydDo6Gg8fvwYSUlJ0NbWRo0aNdCmTRuMGDFC7ndv0qRJsLS0xNGjR3H+/Hk8fvwYiYmJyMrKQrly5VC/fn106NAB7u7u+PrrrzUWc0GMGDECjRs3xpIlS3Dy5EkkJyejQoUKsLOzw5QpU9CwYcMim9vExASnT5/G0qVLsX37dty5cwdSqRQNGjSAu7s7xo4dm+/e6KmpqQgNDQUA1K9fX+US9KNHj0bZsmURGRmJe/fuISkpCUZGRqhZsyYcHR0xYsQI1KxZU+17BLJ/B0NCQtCjRw8cPXoUM2bMgI6ODqZNm1aocenLxkQ6ERERUQlwbP1/+1J1HBFWjJEQEdGnLGmVn9iuMLZwe4ESEdHHsa/P3OIO4YtiY2OjcJ9eZVS9JiIiQuU5PsZYBaGrq4v27dsXOiH/MeP29fVVuqoaAIYMGaJ0L3QvLy+lyfR79+4VKJaePXuiZ8+eBeory9PTE56envn2Mzc3V/h9tLW1Vev7XZA5XFxc4OLiUuix81OuXDn069cP/fr1U/laY2Nj9OrVC7169SqCyP6T33clx4ffmW+//Rbbt28vmqA+IO/7NHXqVLnbMBSEsbEx3rx5o3Y8FhYWBaqooUxBPncDAwMcOXKkUPNQycJEOhEREREREREpJftAFjS7LSkRERERERHRJ0mruAMgIiIiIiIiIiIiIiIiIiL6lDCRTkREREREREREREREREREJIOl3Ukl03d2FdtzBh4oxkiIiIiIiIiIiIiIiOhz8vr1a8TFxal1bb169aCry32GACAmJkat66pXr45y5cppNhiiLxgT6USUx+MFj8W2ln4xBkJEREREREREREREX4yoqCh07NhRrWvj4uJgbm6u2YA+UxYWFmpd5+PjA09PT80GQ/QFY2l3IiIiIiIiIiIiIiIiIiIiGVyRTvQZ8t3k8N+b0nwehoiIvjxJq/yKOwQiIiIiIiIi0jBbW1tIpdLiDuOzx8+Q6ONgIp2IiIiI1LI46InYntS3cjFGQkRExWX6zq7/vdG1LL5AiIiIiIiIiDSMS1mJiIiIiIiIiIiIiIiIiIhkcEU6ERERfVESl50U25W+a1uMkRARERERERERERHR54qJdCKiEuzYekex3XFEWDFGQkRERERERERERERE9OlgaXciIiIiIiIiIiIiIiIiIiIZTKQTERERERERERERERERERHJYCKdiIiIiIiIiIiIiIiIiIhIBhPpREREREREREREREREREREMphIJyIiIiIiIiIiIiIiIiIikqFT3AEQEREREREREcl6vOCx2K4yuUoxRkJEREREREQlFRPpREREVOIlrfIT2xXGDinGSIiIiIiIiIiIiIjoU8BEOn1Ui4OeiO1JfSsXYyRERERERERERERERERERPIxkU5yHVvvKLY7jggrxkiIiIiIiIjoc9YzMEhs6wnVijESIiIiIiIiooLTKu4AiIiIiIiIiIiIiIg+Z4IgQBAEeHl5FXcoJIenpycEQYC5uXmRzWFubg5BEODp6Vlkc3wq7t27J37nfX19izscIqIiw0Q60Reke/Cv4ouIiD5victOii8iIiIiIiLSnNGjR4tJwGPHjql07ZEjR8RrJ0yYoLRvTr/CvO7du5dvTLa2tgqv19XVRYUKFdChQwcsWLAAKSkpKt2vIrGxsVixYgU8PDxgaWmJ6tWrQ19fH4aGhqhduzacnZ0REhICqVSqdJwHDx5g1apVcHZ2Rr169WBoaAh9fX1Ur14dvXv3RkBAACQSiUZipmwSiQSHDh3CL7/8gnbt2qFChQrQ1dVFuXLlYGlpiZ9//hl37twp7jA/iqdPn2Lv3r2YMWMGunXrhvLly4u/O+o+EHH+/HmMGzcODRo0gLGxMYyMjPD111/D0dERixcvRlJSkmZvgoiKFEu7ExEREREREREREX2mHHetK+4QikxY/5FFMq67uzvWrl0LANiyZQs6duxY4Gv9/PzEtpubm8Zj0zSJRILk5GQcP34cx48fx+LFixEcHIxvv/22UOPOmTMH/v7+cs/FxcUhLi4OO3bsQIcOHbB7926Ymprm6Tdjxgz88ccfcpPtCQkJSEhIQGhoKBYvXoxdu3bhq6++KlTMBCQlJaFBgwZ49uxZnnMvX77EpUuXcOnSJSxfvhwLFizA999/XwxRfjyVKlXS2Fjp6emYMGECNmzYkOc7fffuXdy9exf79u1D7dq10adPH43NS0RFi4l0IiIiIiIiIsojfsWw/97oF18cREREmmZjY4Ovv/4ad+7cQWBgIFauXAkDA4N8r3v79i127doFAKhXrx6sra3Fc/KSwdeuXVM41tChQxEdHZ1vv2rVquUbl7I5MzIycPfuXWzZsgWhoaFITEyEo6Mjbty4gfLly6s0tiwdHR1YW1vDxsYGFhYWqFy5MipUqICUlBT8888/WLNmDWJiYhAZGYmePXvixIkT0NLKXSD30aNHkEqlMDQ0RN++fWFnZ4c6depAX18fsbGxWLZsGaKiohAdHQ17e3tcvHgRRkZGasdc1ApSPaC4paeni0n0Zs2aoXfv3rC2tkalSpXw8uVL7N+/H8uXL8e7d+/www8/wMDAAKNGjSrmqD+OGjVqoEGDBggPD1f52oyMDPTt2xf79+8HALRr1w7u7u5o0KABdHR0cP/+fVy5cgU7d+7UdNhEVMSYSCciIiK1Ja3670n8CmOHFGMkRERERERERAXn7u6OmTNnIi0tDSEhIRg0aFC+1wQHByMtLQ1AwVajN27cWOE5Q0PDAvVTlbyxLC0tMWDAAHh4eGDz5s14/vw5NmzYgClTpqg9z/r166GjIz+9YG9vj7Fjx8LJyQm7d+/G6dOnERYWhp49e+bqZ2Zmhvnz52Ps2LEoU6ZMrnNWVlZwcXGBq6srduzYgVu3bmHJkiX47bff1I6Zsrcb6Ny5M37//Xe5VQk6duyI/v37o2PHjnj79i0mT54MFxeXPD+fL8WMGTPQsmVLtGzZEpUqVcK9e/dQq1Ytlcf5448/xCT6woUL8dNPP+U6b21tDScnJ8yZMweZmZkaiZ2IPg7ukU5EREREREREREREJYqbmxsEQQCQXd69IHL6CYKAIUM+v4fJJ0+eLLbPnTtXqLEUJdFzaGtr55rv+PHjefrMnz8fkydPVpik1dbWhre3N/T09AAAgYGBhYiYgOwKB+Hh4UpL+1tbW2PcuHEAssu9Hz58+GOF99HNmjULPXr0KFSJ97t372LevHkAAE9PzzxJ9A/p6uqqPRcRfXxMpBMRERERERERERFRiVKrVi20bdsWABAeHo6nT58q7Z+YmIhDhw4BADp06ICaNWvmOi8IAgRBgJeXV5HEqwnm5uZi+927d0U+n+yqe3XnMzMzQ5MmTQAAd+7c0Uhc8rx+/Rrbt2/HiBEj0KxZM5QtWxa6urqoUKECOnTogIULF+LVq1dKxzA3N4cgCPD09FTab8+ePRgwYACqV6+OUqVKwczMDK1bt8a8efOUzuHr6yt+z+7du4esrCysXbsWbdq0gYmJCQwNDdGkSRPMmTMHb968UedjEHXs2FFsF/Rz37lzJ+zt7VGxYkUYGBigfv36mDp1KlJSUgoVS34OHTqEIUOGoFatWjAwMICxsTGaNm2KyZMn4/Hjx0U6NwCsXbsWmZmZEAQBM2bMKPL5iOjjYml3oi+U4651Yjus/8hijISIiL4k/XedF9s2Wl8VYyRERERERESF4+7ujhMnTkAikSAgIADff/+9wr4BAQGQSCTidZ8j2T28v/qq6P//XEBAgNiuX7++2uOkp6cDQJ491jXJ0dERkZGReY4nJyfj+PHjOH78OLy9vbFv3z617+Xdu3dwdXVFUFBQruPPnz/H2bNncfbsWSxfvhxhYWFo1qyZ0rFev36Nzp074+jRo7mOX7t2DdeuXUNoaCiOHj2a62EGVeR85kDBPvfhw4dj48aNuY7duHED8+fPx+bNm3H48GE0bNhQrVgUef36Ndzc3PJ8nu/evcPVq1dx9epVrFq1CgEBAejRo4dG55aVs+95ixYtxLLwWVlZePToETIzM1G5cmUYGBgU2fxEVLS4Ip2IiIiIiIiIiIiIShwnJycxwZVfefec86VLl8aAAQOKPLaisHDhQrHdq1evIpkjOTkZZ86cwfDhw/Hnn38CyF5VPnjwYLXGe/r0KWJjYwEULhmfH4lEAgsLC0yfPh1BQUE4d+4czp49i+3bt2PQoEHQ0tJCXFwc+vTpo/bqeg8PDzHp27RpU2zevBlRUVE4ePAghg4dCkEQ8OjRI9jZ2SEhIUHpWKNGjUJERAQ8PDwQFhaGCxcuICgoCK1btwYAnD9/Hn/88YdacQLI9VBBfp+7t7c3Nm7ciFatWiEgIADR0dHYt28fnJ2dAQCPHz9Gly5dkJqaqnY8H3r//j169uyJoKAgCIIAFxcX7Ny5E9HR0Thz5gz+7//+D1999RVevXqF/v3748KFCxqbW1ZSUhLu3r0LAGjdujVSU1Pxww8/oHz58qhRowZq164NY2NjdOjQAWFhYUUSAxEVLa5IJyIiIiIiIiIiIqISx9jYGL1798a2bdtw4cIFxMbGokGDBnn6Xb9+HRcvXgQA9OnTR+Ge3p+CmJiYXO8zMjJw7949+Pn5iUncAQMGoHv37hqb09bWVu5qbgAwNTXF7t27Ua5cObXG/uuvv8RKAE5OTuqGmC8fHx/UqVMnz3Fra2s4OTlh+PDh6NKlC27cuAF/f38MHz5cpfHDwsKwY8cOAICdnR327dsn7v0OAA4ODmjdujVGjRqF58+fY9KkSdi+fbvC8U6fPo0tW7ZgyJAh4jFLS0t069YNLVq0QExMDNatW4fZs2fnu5/9hx4/fgwfHx8AQPny5XOVeZcnKioK3bt3R0hISK65unXrhkaNGmHGjBmIj4/H7Nmz8ddff6kUiyJLly7FsWPHoKuri5CQEHTr1i3X+W+//RZubm5o164d/v77b/zwww84ceKERuaWdf36dbFtYGAAS0vLPKXwJRKJWNXgxx9/xOLFizUeBxEVHa5IJyIiIiIiIqJiF+GXJL6IiIg+Ftky7YpWpcse/9TLultYWOR6WVlZoX///ggKCkLdunWxfv16pQlaTZo4cSJiY2PRvn17ta4/d+4cli5dCgCoXr06xo0bp8HocpOXRJdlb28vruIPDg5WefyVK1cCAHR1deHj45MriZ5j5MiRsLe3BwDs3r1b6f7e/fr1y5VEz1GqVClMmDABAPDs2bNcid6CkEqlGDNmDNLS0gAAv/32W75lyUuVKoV169bJTdhPnz4djRs3BgBs2LAhV8l4dWVmZmLRokUAgAkTJuRJoucwMTERE/cnT57E7du3Cz33h54/fy62ly5dijt37qBNmzaIjIzEmzdv8Pz5c/j7+6NKlSoAgCVLlmD16tUaj4OIig4T6URERFQsugf/Kr6IiIiIFElcdlJ8ERERaZqDg4OY5PL394dUKs11XiqVwt/fHwBQpUoVMdH5Obp58yY2btyI06dPa3RcHx8fXLt2DVevXsXx48exePFi1KlTBytXrsTw4cORmJio8piJiYkYMGAAJBIJBEHApk2bULp0aY3GrUxSUhJu3bqFmJgY8VWhQgUAwJUrV1QaSyKRiCv2O3fujBo1aijsO3LkSPGaiIgIhf2Ulcq3srIS2zllxwtq7ty5CA0NBQB07NhRTMor4+DggKpVq8o9p6WlBQ8PDwBASkqKWNmhMM6fPy8+ZJBflQLZhzjOnDlT6Lk/9Pr1a7Gdnp4OKysrHDlyBO3bt4eBgQFMTEzg6uqKyMhIcb/6GTNm4O3btxqPhYiKBku7l3BJq/zEdoWxeZ9gIyIiIiIiIiIiIvpSaWtrw9XVFYsWLcKDBw8QGRkJW1tb8XxERAQePnwIAHB1dYW2tvZHiSszMxM3btxQeL5evXrQ1dXNc/zDBwGysrKQnJyMkydP4vfff8fp06dhb2+PgIAA9O3bN1ffD8vCy6pVq5aYCJR3Tla7du0wduxYDBw4EHv37kXLli1x+vRpVK9eXeH4stLS0uDo6Ij4+HgA2cndTp06Fejawjh16hSWLVuGw4cP51pp/KHk5GSVxr179y7evHkDILtUvDKy55X9PJTtW25qaiq2c1aWF4S/vz9+++03AIC5uTm2bt0KLa3812K2bNlS6flWrVqJ7ZiYGHEfd3VFR0eLbVXGevLkSaHmlUdfXz/X+zlz5uQ5BmRXPBg7diwWLlyIpKQkHD58GD179tR4PESkeVyRTkRERERFiisJiYjoS7c46In4IiKiz0/Oilkgb3n34irrnpCQkKdMu+wrISGhQONoaWmhYsWK6NevH06ePIm6desiPT0dnp6eSElJydVX2XxRUVEqxa+vrw8fHx+ULl0aDx8+xOTJkwt03bt379C7d29cuHABADBp0iRMnTpVpbnV4eXlhbZt22LHjh1Kk+gAVF5NLDtepUqVlPatXLmy3Os+pGx1vmzy+/379wUJEWFhYRg6dCikUikqVaqEQ4cO5YpFmYoVKyo9L3vP+X22BfH06VO1rst5mEGTypQpI7b19PSU7iffpUsXsa3q7xMRFR8m0omIiIiIiIiIiIioxLKwsEDTpk0BAIGBgWKi9O3bt9i1axcAoGnTpmjSpEmxxagJRkZGGDt2LAAgNTUVgYGBRTpf+fLlYWNjAwAICQmBRCJR2l8ikcDJyQnHjh0DAIwYMULcC7soHTlyBLNmzQIA1K5dG97e3rh69SpevHgBiUQCqVQKqVQqrtYuDEEQCj2GpkVERGDAgAHIzMyEiYkJwsPD8c033xT4+vzu6cMqCYUl+3BAREQErl27VqBXzndfk2TL9FeqVAl6enoF6qvuwwBE9PGxtDsVqf67zud6b6P1VTFFQkREnzLHXetyvQ/rP7KYIiEiIqKSaPrOrmJ7zsADxRgJEREVFw8PD0yaNAmpqakIDQ2Fs7MzQkJCkJqaCuDjrkYHsktrazoBCeQuCX7t2rVc54pivpx9xd+8eYOkpCRxP/oPZWVlwc3NDXv27AEAODs7Y82aNRqPR55167L/m0S5cuVw5swZhSusP1zBX1CypdbzKy8ue172uqJy/vx59OzZE+/evYORkRH279+v8gMjiYmJSs/LJo01cU9mZmZiW09PD40bNy70mOqqU6cOdHV1kZmZme/qf9nzOjpMzRF9LrginYiIiIiIiIiIiIhKNFdXVzG5lVPOPeffnH3UvwSyq8IzMzOLfD7ZEvRGRkYK+40ePRrbtm0DAPTo0QNbtmwp0P7cmvD3338DADp16qS0TLns3tyqqF27tliK/dy5c0r7nj//38K0ok4QX716FV27dsWrV6+gr6+PPXv25LuHuzz5lSmXPa+Je2revLnYDg8PL/R4haGrqyvu056YmIjXr18r7Hvnzh2xXa1atSKPjYg0g4l0IiIiIiIiIiIiIirRKlWqBAcHBwDAwYMHERMTIybpHBwcCrxf9KdONqkpW2q6KCQkJODMmTMAgJo1a+baT1rWpEmTsH79egCAnZ0dAgMDoaurW6Sxycp5uEDZHtqXL1/G2bNn1RpfR0cHHTp0AAAcOnQIDx8+VNg353PQ1taGra2tWvMVxM2bN+Hg4ICUlBTo6upi165das8XHh6Ox48fyz2XlZWFTZs2AQBMTExgaWmpbsiitm3biivbV69eLVaNKC79+/cHkL3iPCQkRGG/3bt3i+127doVeVxEpBlMpBMRERERERERERFRiefh4QEgO7E6aNAgMcH6scu6F5X79+/D29tbfN+9e3e1xrl58yaOHj2qtM/Lly/h4uKCjIwMAICbm5vcfl5eXliyZAkAoE2bNggJCUGpUqXUiktdderUAQCcPHkSd+/ezXM+KSkJQ4YMKdQc48ePB5BdBWDYsGHi5yJr48aN4sMb/fv3V1gGv7AePHgAe3t7JCYmQltbG1u3blX7uwAA6enpGD16tNzS5vPmzRO3EBg2bJhGfrb6+vr4+eefAWSXwh80aJDSleBpaWlYsWJFoedVZNiwYWIlg19//VVuqfuIiAixwkXjxo1hY2NTZPEQkWZxIwYiIiIiIiIiIiIiKvF69eqFcuXK4cWLF2K5b2NjY/Tu3buYIyu4mJiYXO+zsrLw7NkznDhxAsuWLcOzZ88AAIMHD0azZs3UmuPRo0ews7ND06ZN0adPH1hZWaFy5crQ0dHBkydPcOrUKWzYsEHc77tx48aYOnVqnnGWL1+OWbNmAcgudb1gwQLExcUpnbtevXoaX63u7u6OPXv24NWrV+jQoQOmTJkCKysrSKVSnD59GosXL8aTJ0/QunVrcYW9qhwdHTFw4EDs3LkThw8fhrW1NX766Sc0aNAAKSkp2LZtGzZu3Aggex/xxYsXa/IWRc+ePYO9vb24Kv6nn35C/fr183xvZJmYmCgtRd6iRQvs2bMHNjY2+PHHH1GnTh08ffoUmzZtEsv1V69eHb/99pvG7mPy5Mk4cuQIjhw5gv3796Nhw4YYM2YMWrdujXLlyiEtLQ03btxAREQEgoODoa+vjwkTJuQZ5+TJk7h9+7b4Pjk5WWzfvn0bvr6+ufp7enrmGcPIyAjLli2Di4sL7t+/j5YtW2Lq1Klo1aoV3r17h/3792PJkiV4//49dHR0sHr1agiCoLHPgoiKFhPpRERERERERERERFTi6evrY+DAgVi3bp14bODAgTAwMCjGqFRjYWGRbx9nZ2ds2LCh0HNduXIFV65cUdrH0dERPj4+MDQ0zHNu165dYjshIQFt27bNd864uDiYm5urHKsyAwYMwNChQ+Hj44P4+HhMnDgx13ltbW0sWbIEKSkpaifSAWDz5s2QSCQICgrC5cuX5a7Sr1q1KsLCwopsD+1r167h1q1b4vsFCxZgwYIFSq/x8PDIk1CWNX78eERGRsLX1xeDBg3Kc75KlSo4ePAgypYtq3bcH9LW1saePXswZswYbN68GQ8ePMCvv/6qsH/OivEPrV+/Xiw9/6FTp07h1KlTuY7JS6QD2b9TycnJmDRpEh4+fChWIJBlZGQEPz8/rkYn+swwkU5ERERERERERET0mQrrP7K4Q/iieHh45Eqkf+5l3QVBgJGREWrUqIHWrVvD3d0d7du3L9SYNjY2iIyMxNGjR3Hy5Ek8ePAAiYmJePPmDYyNjVGrVi1YW1vD1dX1s0kabty4EZ06dcLatWtx+fJlZGRkoHLlymjfvj0mTJiAVq1awcvLq1Bz6OvrY/fu3dizZw98fX1x9uxZJCcnw9DQEHXr1kWfPn0wYcIEGBkZaeamPiIfHx84ODhg7dq1uHbtGl69eoWaNWuiT58+mDp1KkxMTDQ+p4GBATZt2oTvvvsOGzZswPHjxxEfH4/Xr1/DyMgI5ubmsLKyQrdu3dCjRw+Nz/+h8ePHw9bWFitXrsShQ4eQkJAAbW1t1K5dG127dsUPP/xQZOX6iajoMJFOREREGndsvaPY7jgirBgjISIiIiIiIio4GxsbSKVSla9T9ZqIiAiV5/gYYxWErq4u2rdvX+iE/MeM29fXV+mqagAYMmSI0r3Qvby8lCbT7927V6BYevbsiZ49exaoryxPT0+FK6JlmZubK/w+2traqvX9LsgcLi4ucHFxKfTYqrKysoKVlZVa1xbke6GKRo0awdvbW2PjEVHx0yruAIiIiIiIiIiIiIiIiIiIiD4lTKQTERERERERERERERERERHJYGl3IiIiIiIiIiIV9d91XmzbaH1VjJEQERERERFRUWAinYiIiIiIiIiIiIiIiIrc69evERcXp9a19erVg66uroYjIiJSjIl0IiIiIiIiIiIiIiIiKnJRUVHo2LGjWtfGxcXB3NxcswERESnBPdKJiIiIiIiIiIiIiIiIiIhkcEU6ERERERERERERERERFTlbW1tIpdLiDoOIqEC4Ip2IiIiIiIiIiIiIiIiIiEgGE+lEREREREREREREREREREQyWNqdiIiINCJ+xbD/3ugXXxxERERERERERERERIXFFelEREREREREREREREREREQyuCKdiIiIiIiIiIiI6DN1KyVebNcxqV6MkRARERF9WbginYiIiIiIiIiIiIiIiIiISAZXpBMRACDCL0ls1yvGOIiIiIiIiIiIiIiIiIiKGxPpRERERERERERERMUkaZWf2M6oWwNaVSuK71OTbolt4wp1PmpcRERERCUdS7sTERERERERERERERERERHJYCKdiIiIiIiIiIiIiIiIiIhIBhPpREREREREREREREREREREMrhHOhEREZEapu/sKrbnDDxQjJEQERERERERERERkaZxRToREREREREREREREREREZEMJtKJiIiIiIiIiIiIiApBEAQIggAvL6/iDoXoo/H19RW/+/fu3SvucIiINI6JdPrkJC47Kb6IiIiIiIiIiIiINGn06NFi8u/YsWMqXXvkyBHx2gkTJijtm9OvMK+CJCdtbW0VXq+rq4sKFSqgQ4cOWLBgAVJSUlS6X0ViY2OxYsUKeHh4wNLSEtWrV4e+vj4MDQ1Ru3ZtODs7IyQkBFKpVOk4Dx48wKpVq+Ds7Ix69erB0NAQ+vr6qF69Onr37o2AgABIJBKNxExERKQq7pFORERERERERFTEZB8Wr/Rd22KMhIi+NJOORMm8i1LY73O0Z0DfIhnX3d0da9euBQBs2bIFHTt2LPC1fn5+YtvNzU3jsWmaRCJBcnIyjh8/juPHj2Px4sUIDg7Gt99+W6hx58yZA39/f7nn4uLiEBcXhx07dqBDhw7YvXs3TE1N8/SbMWMG/vjjD7nJ9oSEBCQkJCA0NBSLFy/Grl278NVXXxUqZiIiIlUxkU5EREREREREREREJYaNjQ2+/vpr3LlzB4GBgVi5ciUMDAzyve7t27fYtWsXAKBevXqwtrYWz8lLBl+7dk3hWEOHDkV0dHS+/apVq5ZvXMrmzMjIwN27d7FlyxaEhoYiMTERjo6OuHHjBsqXL6/S2LJ0dHRgbW0NGxsbWFhYoHLlyqhQoQJSUlLwzz//YM2aNYiJiUFkZCR69uyJEydOQEsrd4HcR48eQSqVwtDQEH379oWdnR3q1KkDfX19xMbGYtmyZYiKikJ0dDTs7e1x8eJFGBkZqR0zaZ6npyc8PT2LOwwioiLDRDoRERERERERERERlSju7u6YOXMm0tLSEBISgkGDBuV7TXBwMNLS0gAUbDV648aNFZ4zNDQsUD9VyRvL0tISAwYMgIeHBzZv3oznz59jw4YNmDJlitrzrF+/Hjo68tML9vb2GDt2LJycnLB7926cPn0aYWFh6NmzZ65+ZmZmmD9/PsaOHYsyZcrkOmdlZQUXFxe4urpix44duHXrFpYsWYLffvtN7ZiJiIhUxT3SiYiIiIiIiIiIiKhEcXNzgyAIALLLuxdETj9BEDBkyJAii62oTJ48WWyfO3euUGMpSqLn0NbWzjXf8ePH8/SZP38+Jk+enCeJLjuGt7c39PT0AACBgYGFiJiIiEh1TKQTERERERERERERUYlSq1YttG3bFgAQHh6Op0+fKu2fmJiIQ4cOAQA6dOiAmjVr5jovCAIEQYCXl1eRxKsJ5ubmYvvdu3dFPp/sqnt15zMzM0OTJk0AAHfu3Cl0TElJSfjf//6H5s2bo1y5ctDX14e5uTnc3Nxw8uRJpdeam5tDEASxlHlUVBRcXFxQo0YN6Ovro0aNGvD09ERsbGyBYomPj8e0adNgaWkJExMT6Ovr46uvvoKzszOOHTum8Lp79+6J3zdfX18AwKFDh9CzZ09UrlwZpUqVQq1atTB27FjEx8crjSEmJgZ//PEHunTpgurVq6NUqVIwMjJCnTp14OHhgbNnzyq93tfXV4zl3r17BbpvIqLPCRPpRERERERERERERFTiuLu7AwAkEgkCAgKU9g0ICIBEIsl13edGNtH51VdfFfl8sp9p/fr11R4nPT0dAPLssa6q8PBwfPPNN5gzZw4uX76Mly9fIj09Hffv34efnx/atWuHCRMmICsrK9+xNm7ciDZt2mDbtm2Ij49Heno64uPjsWnTJjRv3hzbt29Xev2GDRtQt25dzJs3D5cuXcKLFy+Qnp6Ohw8fYseOHejUqRNGjBghfueUmTp1KhwcHLB3714kJiYiIyMD9+7dw+rVq2FpaakwsR8REQELCwv89ttvCA8PR0JCAjIyMvD69Wvcvn0bmzdvRuvWrTFt2rR8YyAi+lIxkU5EREREREREREREJY6TkxMMDAwA5F/ePed86dKlMWDAgCKPrSgsXLhQbPfq1atI5khOTsaZM2cwfPhw/PnnnwCyV5UPHjxYrfGePn0qJoILk4y/fPkyevbsidTUVOjq6uKHH37AsWPHcP78eaxZswa1atUCAKxcuTLfxPHly5cxZswYVKxYEcuXL8e5c+cQGRmJKVOmoFSpUkhPT8eQIUNw/vx5uddv3LgRI0aMwNu3b9G4cWMsX74cJ0+exMWLF7Fr1y50794dAAq0j/26deswf/58dOjQAVu3bkV0dDQOHz4sPuyRlJSEYcOGyb1WIpHA0NAQTk5OWL16NSIiInDx4kUcOHAAixYtEqsuzJs3Dz4+PkrjICL6UinfyISIiIiIiIiIiIiI6AtkbGyM3r17Y9u2bbhw4QJiY2PRoEGDPP2uX7+OixcvAgD69OmjcE/vT0FMTEyu9zmrk/38/BAUFAQAGDBggJis1QRbW1tERkbKPWdqaordu3ejXLlyao39119/iauynZyc1A0Ro0aNQkZGBrS1tbF37144ODiI51q2bImBAweibdu2uH79OhYuXAh3d3c0atRI7lhXrlxBzZo1cfbsWVSuXFk83r59e3Tp0gUODg6QSCQYP348oqKicl378OFDTJw4EQDg4eGB9evX59pvvnnz5ujXrx+mT5+OuXPnYunSpRg9ejTq1q0rN5bTp09j5MiRWLNmDQRBEI/b2dlBT08P69evx9mzZ3Hp0iU0b94817XNmjVDfHy83J9Nly5dMGHCBPTo0QOHDh3CrFmz4O7uDm1tbQWfMBHRl4kr0omIiIiIiIiIiIioRJIt065oVbrs8U+9rLuFhUWul5WVFfr374+goCDUrVsX69evz7fsuKZMnDgRsbGxaN++vVrXnzt3DkuXLgUAVK9eHePGjVNrnPPnz4sJ7REjRuRKoucwMTHB2rVrAQBZWVnw9vZWOuaiRYtyJdFzdOzYESNHjgQAREdH50mk/9///R/evHmDqlWrYvXq1bmS6LJmzZqFatWqISsrC5s3b1YYR5UqVbB8+fJcSfQcP//8s9g+ceJEnvPly5dX+oCDnp4e/vrrLwDA/fv3cfnyZYV9iYi+VEykExEREREREREREVGJ5ODggCpVqgAA/P39IZVKc52XSqXw9/cHkJ20tLe3/+gxasrNmzexceNGnD59WqPj+vj44Nq1a7h69SqOHz+OxYsXo06dOli5ciWGDx+OxMRElcdMTEzEgAEDIJFIIAgCNm3ahNKlS6sV3+HDh8X28OHDFfazsbERKxLIXvMhExMT9O7dW+F52VLqH44TEhICAOjZsyf09fUVjqGjo4PWrVsDAM6cOaOw34ABA1CqVCm55+rVqwcjIyMAwN27dxWOkSM9PR0PHjzA9evXERMTg5iYmFy/D1euXMl3DCKiLw1LuxMRqeHYekex3XFEWDFGQkRERERERERE6tLW1oarqysWLVqEBw8eIDIyEra2tuL5iIgIPHz4EADg6upaJKWtn6Rkiu3KJroAgMzMTNy4cUPhNfXq1YOurm6e4x8+CJCVlYXk5GScPHkSv//+O06fPg17e3sEBASgb9++ufp+WBZeVq1atWBoaKjwnKx27dph7NixGDhwIPbu3YuWLVvi9OnTqF69usLxZaWlpcHR0RHx8fEAgLlz56JTp04FulaenPvS09PLU978Q9bW1oiNjcWtW7eQkZEBPT29PH2aN2+ucCU5kF0yXU9PDxkZGbk+05cvX+L27dsAgDVr1mDNmjUFiv/JkycKz+W3b7yJiQlevXqFtLQ0uedfv36NZcuWYdu2bfj777/x/v17hWMlJycXKF4ioi8JE+lEREREREREREREVGJ5eHhg0aJFALLLuMsm0ourrHtCQgIsLCwUno+Li4O5uXm+42hpaaFixYro168fHBwcYGVlhZs3b8LT0xO2trYwMTER+yqb79ixY7k+l/zo6+vDx8cHNWvWxMOHDzF58mRs3bo13+vevXuH3r1748KFCwCASZMmYerUqQWeV57nz58DyN6vXVkCHIBYrl0qlSIlJQWVKlXK06dixYpKx9DR0YGpqSmePHkizg0AT58+VTV0AMCbN28Unstvlb6WVnZRYnkJ8nv37qFTp06Ii4srUBxv374tUD8ioi8JE+lEREREBADoHvyr2N7XZ24xRkJERERERPTxWFhYoGnTprhy5QoCAwOxYsUKGBgY4O3bt9i1axcAoGnTpmjSpEkxR1o4RkZGGDt2LH788UekpqYiMDBQ3M+7KJQvXx42NjY4dOgQQkJCIJFIlCayJRIJnJyccOzYMQDZ+5nnPOCgCfL2Ef/Qhyv6NTmObDL7hx9+UFpmXpa8VfGa4Obmhri4OAiCgKFDh2LQoEFo0KABKlSoIJaLz8rKEqswFOSzISL60jCRTkREREREREREREQlmoeHByZNmoTU1FSEhobC2dkZISEhSE1NBfBxV6MDgLm5eZEkLmVLgV+7di3XuaKYr0KFCgCyV1UnJSWJ+9F/KCsrC25ubtizZw8AwNnZucClz/NjamoKAHj27Fm+yfyc/dwFQci1Wl9eH0UkEglSUlJyzQ0AZmZmYvvNmzdo3LhxwW6gCPzzzz84efIkAGDatGmYM2eO3H4590FEVFJpFXcARERERPRx+W5yEF9ERERERESUvf95ToI1p5x7zr85+6h/CSQSidjOzMxU0lMzEhISxLaRkZHCfqNHj8a2bdsAAD169MCWLVvEsuSFlZOwzsjIwKVLl5T2PX/+PACgTp06CleCX758Odfn+KErV64gIyMj19xA9kMF1apVAwAcPny4WFd4//3332J70KBBCvtFR0d/jHCIiD5ZTKQTERERERERERERUYlWqVIlODhkP2x88OBBxMTEIDw8HADg4OAg7p39uYuKihLbNWrUKNK5EhIScObMGQBAzZo1UaZMGbn9Jk2ahPXr1wMA7OzsEBgYCF1dXY3FYW9vL7Y3bNigsN+ZM2dw/fr1PNd86Pnz5+LKeXk2btwod24A6NWrFwDg7t27CAwMVB54EZJ9EEDZHuyrV6/+GOEQEX2ymEgnIiIiIiIiIiIiohLPw8MDQHaScdCgQWKy8WOXdS8q9+/fh7e3t/i+e/fuao1z8+ZNHD16VGmfly9fwsXFRVyZ7ebmJrefl5cXlixZAgBo06YNQkJCxP25NaVVq1Zo2bIlAGD9+vU4dOiQ3HhHjx4NANDS0sLYsWOVjjlp0iS5Jd4jIyOxdu1aAICVlZU4b45ffvlFvL8xY8bku+J73759uHr1qtI+6qhTp47Y3rRpk9w+q1atQnBwsMbnJiL6nHCPdCIiIiIiIiIiIiIq8Xr16oVy5crhxYsXYulrY2Nj9O7du5gjK7iYmJhc77OysvDs2TOcOHECy5Ytw7NnzwAAgwcPRrNmzdSa49GjR7Czs0PTpk3Rp08fWFlZoXLlytDR0cGTJ09w6tQpbNiwAU+ePAGQXd586tSpecZZvnw5Zs2aBQCoVq0aFixYgLi4OKVz16tXT63V6mvXroW1tTUyMjLg6OiIiRMnomfPnjAyMsKlS5cwb9483L17FwDw888/K92/vGnTprh+/TqsrKwwbdo0tGrVCunp6di3bx+WLFki7sO+cuXKPNfWqlULq1evxtChQ/H8+XPY2NjAzc0NPXr0wFdffQWJRIL4+HicP38egYGBuHPnDvbs2YMmTZqofM/KNG/eHI0bN0ZMTAxWrVqFFy9eYPDgwahSpQoePnwIPz8/BAYGwsbGBqdOndLo3EREnxMm0omIiIi+UPErhv33Rr/44iAiIiIiIvoc6OvrY+DAgVi3bp14bODAgTAwMCjGqFRjYWGRbx9nZ2elJc4L6sqVK7hy5YrSPo6OjvDx8YGhoWGec7t27RLbCQkJaNu2bb5zxsXFwdzcXOVYmzVrhj179mDgwIFITU3F4sWLsXjx4jz9xo8fjz///DPfsSZMmICxY8diwoQJec7r6elh06ZNsLa2lnu9p6cnDAwMMGrUKKSmpmLDhg0Kfx5aWlpyP7vCEgQBW7ZsQadOnZCSkoKAgAAEBATk6mNhYYGdO3eiatWqGp+fiOhzwUQ6ERERffYeL3gstrWYMCYiIiIiohJksd1/paPrmFQvxkhUl/D8ptiuZlq3GCP5j4eHR65E+ude1l0QBBgZGaFGjRpo3bo13N3d0b59+0KNaWNjg8jISBw9ehQnT57EgwcPkJiYiDdv3sDY2Bi1atWCtbU1XF1dYWNjo6E7KTwHBwfcvn0bS5cuxb59+3D37l2kp6ejUqVKaNeuHcaMGVOgZD4AjBgxAo0bN8aSJUtw8uRJJCcno0KFCrCzs8OUKVPQsGFDpdc7OzvDwcEBa9euxYEDB3D9+nWkpKRAV1cXlStXRqNGjdCxY0cMGDCgyPayb9asGS5fvow///wT+/fvx6NHj1CmTBl88803cHJywvjx46Gvz//IQkQlGxPpRERERERERERERETIThJLpVKVr1P1moiICLH9JCVT5fkUjfUx6Orqon379oVOyH/suAGgQoUKmDNnDubMmVPosb799lts375d7etNTEwwZcoUTJkyRaXrzM3NC/x9u3fvntLzX331FVatWqW0j7K5PD094enpWaBYiIg+R0ykU4k0fWdXsT1n4IFijISIiIiIiIiIiIiIiIiIPjVMpNMX7dh6R7HdcURYMUZCVLySVvmJ7QpjhxRjJERERJ8m/u9GIiIiIiIiIiKSpVXcARAREREREREREREREREREX1KmEgnIiIiIiIiIiIiIiIiIiKSwUQ6ERERERERERERERERERGRDO6RTkREREREREREREREpMS9e/eKOwQiIvrIuCKdiIiIiIiIiIiIiIiIiIhIBlekExER0Wcpwi9JbNcrxjiIiIiIiIiIiIiI6MvDFelEREREREREREREREREREQymEgnIiIiIiIiIiIiIiIiIiKSwUQ6ERERERERERERERERERGRDO6RTkREREREJULSKr9c7yuMHVJMkRDRxxS/YpjYrj5hYzFGQkRERERERJ8TrkgnIiIiIiIiIiIiIiIiIiKSwRXp9EWQXV3ElUVUnKbv7Cq25ww8UIyREBERERERERERERERkbqYSCdSw+KgJ2J7Ut/KxRgJERERERERfaoeL3gstrX0izEQIiIqUgnPb4rtaqZ1izESIiIi0iSWdiciIiIiIiIiIiIiIiIiIpLBRDoREREREREREREREREREZEMlnYnKgF6BgaJbT2hWjFGQkREJYFsGVuApWyJiIiIiIiIiIjo88NEOhEREVEhdQ/+VWzv6zO3GCMhIiIiIiIiIiIiIk1gaXciIiIiIiIiIiIiokKoblYP1c3qwcvLq7hDoX/Z2tpCEATY2toW2RyCIEAQhBLxc4+IiBDvNyIiorjD+WwV53fGy8tLnP9L4enpCUEQYG5uXtyh0BeKiXQSxa8YJr6IKFvSKj/xRUSkKYuDnogvIiIiIiIi+rhGjx4tJpOOHTum0rVHjhwRr50wYYLSvjn98ntVMdUTXx+eu3fvXoHiykkaF2WCTCKR4NKlS1izZg1GjBiBJk2aQEdHR+VYFfH29s51776+vhqJm4B3794hJCQEEydOhLW1NUxNTaGrqwtTU1O0bt0aXl5eePz4cf4DfabCwsLg5eUFR0dHNGjQAOXLl4euri5MTExgZWWFn376CTdu3FA6hlQqxcmTJzFjxgzY2dmhSpUq0NPTg7GxMRo1aoRx48bhypUrH+mOPg3379/H1KlTYWVlhXLlyonfqTZt2mD27NlISkpSev2DBw+watUqODs7o169ejA0NIS+vj6qV6+O3r17IyAgABKJ5CPdDZF8LO1ORERERERERERE9JmaevSRzLtHCvt9+s7nObKrf6simcnd3R1r164FAGzZsgUdO3Ys8LV+fv8ttnBzc9N4bJ+yOXPmFNkq2kePHmHatGlFMnZJd/XqVbRt2xZpaWl5zqWkpODs2bM4e/YsFi9ejPXr18PJyakYoiw6EokEPXr0kHvuxYsXuHjxIi5evIjly5fj999/x9SpU+X2NTc3x4MHD/Icz8zMxPXr13H9+nWsXr0av/zyC+bNm/dFrfqWZ+vWrRg5ciTevHmT63hKSgrOnDmDM2fO4P/+7/+wY8cOdOrUKc/1M2bMwB9//AGpVJrnXEJCAhISEhAaGorFixdj165d+Oqrr4rsXoiUYSKdiIiIiPJw3LVObIf1H1mMkRAREREREWmWjY0Nvv76a9y5cweBgYFYuXIlDAwM8r3u7du32LVrFwCgXr16sLa2Fs/FP8tezVrNtK547Nq1awrHGjp0KKKjowEAx05eFI+XL6ubq1+1atUKcEcfh2zCS19fH82aNUNSUhLu3LlT6LEnTJiA1NRUVKxYEU+fPi30eB+LvCTgpyY1NVVMotvY2KBHjx5o0aIFzMzMkJSUhN27d2P9+vVIS0uDq6srypQpg27duhVz1JpVtmxZ2NrawtraGrVr10aVKlVQunRpPHr0CBEREdi4cSNevnyJadOmoVy5chgzZkyeMRISEgAA33zzDfr37w8bGxtUrVoVb9++xbFjx7BkyRKkpKRgwYIF0NbWxty5cz/2bX40Z86cgbu7O96/fw8tLS14eHigd+/eqFq1Kh48eIBNmzZhz549ePbsGXr16oWYmJg8pdcfPXoEqVQKQ0ND9O3bF3Z2dqhTpw709fURGxuLZcuWISoqCtHR0bC3t8fFixdhZGRUPDdMJRoT6URERERERERERERUori7u2PmzJlIS0tDSEgIBg0alO81wcHBYkKyIKvRGzdurPCcoaGh2K7f8L9+lU105XX/JLRu3RqrV69Gy5YtxbLunp6ehU6kh4SEICgoCBUqVMCUKVPw008/aShiAgAtLS04OTlh5syZaNiwYZ7zDg4O6NatG/r27Yv3799j4sSJuHXr1hezolpHRwfPnj2Dtra23PO9evXCxIkTYWVlhZSUFMyYMQMjR47M079Vq1aYOXMmHBwc8nw2bdu2haurK1q3bo2kpCT89ddfGDFiBGrXrl1k91Wc5s6di/fv3wMAli9fjnHjxonnWrZsif79++Onn37C4sWL8fr1ayxevBjLli3LNYaZmRnmz5+PsWPHokyZMrnOWVlZwcXFBa6urtixYwdu3bqFJUuW4Lfffiv6myP6APdIJyIiIiIiIiIiIqISxc3NTUyGbdmypUDX5PQTBAFDhgwpstg+VV26dMHo0aNhaWkJHR3NrNFLS0sT95pfuHAhTE1NNTIu/adNmzbYvn273CR6jt69e6Nfv34AgDt37uDy5csfKbqPQ1ESPUetWrXg7OwMAEhKSsI///yTp8/p06fRpUsXhQ8YfP3115gxYwaA7HLyISEhhYz603Xq1CkA2clw2SS6rJzPAsj+7D40f/58TJ48OU8SPYe2tja8vb2hp6cHAAgMDCxs2ERqYSKdiIiIiIiIiEqEY+sdxZci3YN/FV9ERPTlqlWrFtq2bQsACA8Pz7eceGJiIg4dOgQA6NChA2rWrJnrfHWzeqhuVq/I9hD/Uk2bNg3x8fGwtbWFu7v7R507JSUFPj4+GDJkCBo2bAgjIyPo6emhcuXK6NKlC9auXYuMjAylYwiCAEEQlP7cs7Ky4Ofnh+7du6Ny5crQ09NDhQoV0LFjR3h7eyudw8vLS5wDAN69e4e//voLlpaWKFOmDMqUKYNWrVphxYoVkEgkan0OOTp27Ci2C1JlICsrC+vWrUObNm1gamoKQ0NDNG3aFHPnzsXbt28LFYsiFy5cwPDhw1G3bl0YGhpCX18fNWrUgJWVFcaPH4/Q0FC1y+3LVol49+6dWmOo+hkCwOHDh9GrVy9UqVIF+vr6qF27NiZMmID4+Hi1YlDFixcvMHPmTDRq1AhGRkYwNTWFra0t/P39lV6X852tVauWwj5ly5ZF+fLlAQDp6elqxWdmZoYmTZoAKPjnKc+RI0dQpkwZCIKAunXr4v79+2qPRSUPS7sTERERERERERERUYnj7u6OEydOQCKRICAgAN9//73CvgEBAWKi8mMnfL9U586dw6pVq6Cnp4dVq1Z99PmbN28uN6GWmJiI8PBwhIeHY/Xq1di3bx8qV66s1hzPnz9Hr169xBW8OZKTkxEREYGIiAisWLEC+/fvz/Nwhry4unTpgitXruQ6HhUVhaioKISHhyM4OBhaWuqtn5RNduY3RkZGBhwdHXHgwIFcx69evYqrV6/Cz88PR44cQZUqVdSKRZ4lS5bg559/RlZWVq7j8fHxiI+Px8WLF+Ht7Y20tDSV99J++/atuIJcS0sLdevWVStGVT5DAJg1a1aehzDi4uKwcuVKbNmyBXv27EH79u3ViiU/cXFx6Ny5c64E9evXrxEZGYnIyEgEBwcjICBAbvWJunXr4tKlS4iLi1M4fmpqKpKTk8X+6sr5TNX9XgcFBcHFxQXp6elo1qwZDh48iIoVK6odD5U8XJFORERERERERCSH46514ouIiL48Tk5OMDAwAJB/efec86VLl8aAAQOKPLYvXWZmJkaOHImsrCz88ssvqF+//keP4f3797C2tsbs2bOxd+9eREVF4dSpU/Dz80PXrl0BAJcuXcKgQYPUHr9Hjx5iEr1Dhw7YuXMnoqOjERoaij59+gAAYmNjYWdnh1evXikdr1+/foiNjcV3332HQ4cO4cKFC9i6dSsaNGgAANizZw/WrVP/f7NERkaK7fx+Hv/73/9w4MABODg4ICgoCNHR0QgKCkLnzp3Fe3J0dCz0KvkcV69eFZPotWrVwqJFi3DkyBFcunQJJ06cwMaNG+Hm5qZSAj0zMxMPHjzAtm3b0KZNG9y+fRsAMHToUIXlxvOjymcYFhYGLy8v1KtXDxs2bEBUVBQOHz6M0aNHQ0tLC6mpqejRo0eRrZ52dnZGXFwcxowZg8OHDyMqKgobNmwQk96BgYGYNGmS3GtHjx4NAHj27BlWr14tt8/s2bPz9FfV06dPERsbCyD/z1MeHx8fDBw4EOnp6WjXrh0iIiKYRCeVcUU65ct3k8N/b0rz2QsiIiIiIiIiIiL6/BkbG6N3797Ytm0bLly4gNjYWDEpKev69eu4ePEiAKBPnz5qJ9noP3/99ReuXbuG2rVrY/r06cUSw9GjR1GnTp08x9u0aYPBgwfDx8cHw4YNQ2RkJI4cOQI7OzuVxl+9ejXOnDkDILuKga+vr1ii3crKCj179sT06dMxd+5c3LlzB7Nnz8b8+fMVjpez6tzW1lY8ZmlpiS5duqBhw4ZITEyEt7e3WknLK1euICwsDADQqFEjpfup58QyatQorFmzRjxmZWWFPn36YMSIEdiwYQMuXbqENWvWYPz48SrH86HAwEBkZWXB0NAQZ86cQaVKlXKdb9u2LYYOHYqXL1+idOnSCse5d++e0nLk9vb2WLRokVoxvnnzBkuXLgUA6OnpoXfv3kr7R0dHw9LSEpGRkbkeALCzs4ONjQ3c3d2RlpaGn3/+GTt37lQrJmWioqKwdetWuLi4iMdatGiBgQMHol27drhy5QpWrlyJkSNHwsLCIte1I0aMwIkTJ+Dv74/x48fjwoULYnn6Bw8ewM/PD0FBQQCAKVOmwMHBAer466+/xIcxnJycVLp24cKF+OWXXwAA3bt3R2BgoPjgFJEqmBUlIiIiokKL8EsSX0RERERERJ8L2TLtilalyx5nWffCu337trhadeXKlcWW3JKXRJc1dOhQNG/eHAAQHBys8vgrV64EAJQvXx4rVqwQk+iyfv/9d3Gl7bp165TuJT1x4sRcSfQcpqamGDp0KIDsldsvX75UKc709HSMGDEC79+/BwDMnTs332sqVaqEJUuWyD23dOlSVKhQAQDg7e2tUiyKPHnyBEB2ifAPk+iyypYtq1YJcDMzMwQEBODAgQMoW7asWjFOmTIFDx48AACMHz8e1apVy/eatWvXyl1F7+bmhm7dugHI/u49fvxYrZiU6dGjR64keo4yZcpg7dq1AICsrCy5K861tbXh5+eH7du3o2nTpli/fj169eqFli1bon///ggKCkLHjh1x8OBBzJs3T634zp07Jz6YUL16dYwbN67A1/76669iEt3FxQXBwcFMopPamEgnIiIiIiIiIiIiohLJwcFB3MfZ398fUqk013mpVAp/f38AQJUqVWBvb//RY/zSjBkzBu/evcPAgQPFEurFTSqV4smTJ7h58yZiYmLEV9WqVQEgz77k+Xn06JFYktrJyUlhFQNtbW0xCZ6SkiJWPpBn8ODBCs9ZWVmJbWX7VsszYcIEREdHAwA8PDzQq1evfK9xcnJSuPLbyMhIXD18/fp1jSSBc35Hr1+/jvPnz6s9TrVq1XDt2jVcu3YNly5dwt69ezFhwgS8efMG48aNw/z58/P8DSgIf39/rFixAgDQoEEDzJkzJ99rLCwscv3cPjRs2DAAgEQiQUREhMox5SfneydPq1at0KhRIwDA4cOH5fb5559/sHXr1v9n776jorq2MIB/lyYKKogdVOwVS7DEEkVFUbAr2AELEGPJs2tMFKPGEnvvYMGKBRW7AvZeUWwoKqg0CwhKnfcHmesgM8PMAILy/daalTNzzz1n3ym85O179sHdu3flHr948SI2b96s0ecfHh6OXr16ITk5GYIgYNOmTUorDUilpqbi119/xezZswEAv/32G7y8vKCrq6t2DERSLO1ORERERERERESUVj5qvgABAABJREFUxyzc9ybd8zHdS+dSJEQ/Nm1tbfTr1w8LFizAixcvEBAQkG7Vr7+/P16+fAkA6NevH7S1tb9JXElJSXj48KHC49WrV89ycuhbzPE1T09PnDp1CkWKFBFXm+YmX19frFq1CmfOnEFsbKzCflFRUWqNGxgYKLabNGmitK/s8cDAQDRt2lRuP2V7RBcrVkxsK7uOr82ePRvr168HkJaMl66iz0yjRo2UHm/cuLE4VmBgoJgI11Tfvn0xe/ZsJCQkoHnz5ujQoQPs7Ozwyy+/oFatWnJX+8ujq6uLOnXqiM/r168POzs7uLi4oHXr1pgyZQqePHmCjRs3qhybv78/hgwZAgAwNjZWuYS4Ku+hlOz3KbuoMv+9e/fw+PFjJCYmQk9PTzx29uxZdOnSBe/fv0eFChUwc+ZMtGvXDsWKFUN4eDgOHDiAP//8E15eXggICMDx48flbpshT2xsLOzs7BAaGgogrUJCmzZtMj0vOTkZffv2xa5duwAAU6ZMwcyZM1Wak0gZJtKJiIiIiIiIiIiIKN9ycnIS90XesmVLukR6bpV1DwsLy7Avsaxnz57B3Nw8z88hKzIyEuPGjQMAzJgxQ1ztnRskEglcXFywYcMGlfp/+vRJrfHfvn0rtpWVIgeA0qW/3Cgle97XlK3IlS1nLi3Rnpk1a9bgjz/+AJB208SRI0dgYGCg0rklS5ZUelz2mpVdk6pq1KiB7du3w8XFBe/evcOhQ4dw6NAhAGml8zt06ABXV1f88ssvGo1ft25dzJw5E7/99hs8PDzQp08flfb1vnbtGrp06YKEhAQYGBjg8OHDme4vL/Wt30NN55dIJHj37p34PCEhAX379sX79+9RunRpXLp0Kd13WFqGvVWrVmjYsCFCQ0Ph6OiIq1evZhrT58+f0bVrV1y/fh0AMGbMGEyaNEml6wkLCxOT6La2tkyiU7ZhaXciIiIiIiIiIiIiyrcsLCxQr149AIC3t7eYNP306RP27NkDAKhXrx7q1q2bazH+CNavX4/o6GgYGRnBxMQEO3bsyPC4fPmy2P/y5cvi6xEREdkay8aNG8Ukev369eHp6YmgoCDExMQgOTkZEokEEokEAwcOBACNyn1LZbZaOitja2r79u3intMVKlTAyZMnxX3NVZEb19SzZ088e/YMa9asQY8ePcR4o6KisHXrVrRs2RLOzs5ITU3VaPyuXbuKbW9v70z737t3Dx06dEBsbCwKFCiA/fv34+eff1Z5PlVX0ecUTT/Do0ePIiwsDAAwcuTIdEl0WbVr18aAAQMApN1wkNn2CMnJyXBwcICfnx8AYOjQoeINTqooVaoUmjdvDgA4fPiwWucSKcMV6URERERERERERDlgyu4ve//Osj+ai5EQUWacnJwwZswYxMTE4MCBA+jduzd8fHwQExMD4NuuRgcAc3PzHE+wfos5ZCUkJAAA3r9/LybYlFm9ejVWr14NAPDz88t0Ba061q1bBwCoXLkyLly4oLAU97t37zQaX7bU+ps3b5T0TNsPWt55OeXAgQNwdHREamoqypQpg1OnTsHMzEytMWRjlkf2xofsvKaiRYvC1dUVrq6uANL2TD9w4ACWLVuGV69eYdOmTWjQoAF+//13tceWvZHg+fPnSvsGBwejXbt2iI6Oho6ODnbu3Alra2u15svsPczp70V4eDjKlSun8Lj0MxQEAcbGxuLrQUFBYvunn35SOoelpaW4dcCDBw/EG5a+lpqaioEDB+LgwYMAgN69e2PNmjWqXch/9PX1ceTIEdjY2ODixYsYN24ctLW18b///U+tcYi+xhXpRERERERERERERJSv9evXDzo6aevOpOXcpf+U7qNOP4579+4BSFuFrCiJLpFIcOPGDY3Gl92HW3aVvTxXrlyRe15OOHXqFBwcHJCcnAwTExOcOHEClStXVnuczMp0yx7PyWuqVasWJk2ahEuXLoll6aXlvdUlXWUNAIaGhgr7hYaGom3btnj9+jW0tLSwadOmdKvZVZXb76Gq81etWjXd/ujSv5NA2ipyZZKSkuSe9zU3Nzfs2LEDANCpUyds2bIl3XYFqipcuDCOHj2KJk2aAABGjx6N5cuXqz0OkSwm0olU1HPPFfFBREREREREREREP45SpUqJeyIfO3YMgYGBOH78OACgffv2CssXk+rc3d3FkumKHh4eHmJ/Dw8P8XXZfeuzgzQBGB8fr7DPgQMH8OrVK43GL1u2LGrWrAkA2L17N2JjY+X2S0lJgaenJwDA2Ng40xW+WXHhwgV07doVCQkJKFKkCI4dO4batWtrNNbu3bsV7hsfFxcnJrNr1aqFMmXKaByzqsqVK4dq1aoBSCv1rondu3eLbQsLC7l9IiIiYG1tLa5YX716tcY32dy9exc3b95UeHzjxo0A0m7kye7vPwBs2rRJ4bFr164hMDAQADKstK9YsaLYPnv2rNI5AgIC5J4na8yYMeKq9bZt28Lb2xu6urrKg1dC+t1u1KgRgLTy86tWrdJ4PCIm0omIiIiIiIiIiIgo33NycgKQlmTt06ePmGz91mXdKedVrVoVAHDw4EG55duDg4PFPcQ1NXz4cABAZGQkRo4cKbeM/vTp03H//n0AgIuLCwoUKJClORW5desW7OzsEBcXBwMDAxw+fBiWlpYaj/fmzRuMHTtW7rExY8aIZcGHDRum8Ryy9u/fj/fv3ys8/vLlSzx48ABAxoTt/v378fr1a6XjnzlzBn///TeAtJXTffv2zdDn/fv3sLGxwcOHDwEAixYtgouLizqXkYGrqyvi4uIyvL5t2zYcPnwYANCtW7ccuRnhwIEDclfvf/z4USydr6WlBTc3t3TH27Zti0KFCgEAVq1ahbt378od/8iRI9i3bx8AwNTUFPXr18/Qx93dHYsWLQIANGvWDD4+PtnyGyhatCiOHz8ufseHDx8ubudApC7ukU5EREREREREP5TIVVtzOwQiIvoOdenSBUZGRnj//r1Y+rtIkSIalW3OTdIVzsoYGhqiV69eao378eNHeHt7p3vtyZMnYtvb2xvFixcXn9evX19u8iwvcHR0xPjx4xEWFoZmzZphwoQJqF27Nj5//ozTp09j8eLFSEhIwE8//aRxefdff/0VXl5euHjxIjZt2oTnz59j+PDhqFSpEl6/fo2NGzdi7969ANL2av/rr7+y8xJFwcHBsLGxERPRM2fORNGiRcUVx/KULFlS6Z70DRs2xKpVq/Ds2TP8+uuvKFeuHF6+fIlVq1bh2LFjAIAGDRrg119/zZZrWLx4Mfr37w87Ozu0adMGNWvWRNGiRfHu3Ttcu3YNy5YtE1fIf528379/P3r37g07Ozu0bdsWtWvXhpGRERISEhAcHIyDBw9i165dSE1NBQD89ddfqF69eroxEhISYGdnh1u3bgEA+vfvD2tra6XvoYGBgcJV2EDae3jt2jU0bNgQEydOhIWFBT58+ABvb29xf/DChQtj/vz5ar9fqmjYsCH69euHgIAA9OrVC0WKFMGdO3cwd+5c8WaB4cOHo27duunOMzIywqRJkzB16lTExsaiWbNmGDlyJNq1awdjY2OEh4fDx8cH69atE9/TOXPmZCjVvmzZMkyfPh1AWqJ93rx5ePbsmdKYq1evrvJqdSMjI5w4cQJt27bFzZs34ebmBm1tbQwePFil84mkmEgnIspDFu57I7bHdGfJMCIiIiIiIiKib0VfXx/29vbpVi7a29sr3EM7rxo0aFCmfSpUqKB2Ij0qKkrp2OPHj0/3fNq0aXk2kf7777/jxIkTOH78OB48eJAhuVawYEFs3rwZvr6+GifStbW1cejQIXTp0gXnz5+Hv78//P39M/SrWbMmjhw5onRf7qw4e/asuEIcSNs3OjPTpk2Du7u7wuOzZs3CggULcPToURw9ejTD8Ro1auDQoUNK98VWV3x8PHbv3p2uBLssbW1tzJgxQ+6NL4mJidi3b5+4QlqeggULYsaMGXJX2r9+/RoXLlwQn3t5ecHLy0tpvK1atZL7eUvZ2dnBzs4O06dPl/u7KlKkCA4cOABzc3Ol82hq165daNu2LVauXImVK1dmON6zZ08sXLhQ7rl//vkn3r59iyVLluDjx4+YPXs2Zs+enaGfrq4u/vnnHwwYMCDDsT179ojtsLAwtGjRItOYnz17ptb7YWxsLCbTb9++DRcXF2hra4vVR4hUwUQ6ERERERERERER0XdqTpuyYruqsVkuRqK+sLePxLZpsWq5GMkXTk5O6RLpeaWse1L4lz22dUsVzsVIfgy6urrw9fXFqlWrsHnzZty/fx8SiQSmpqawtrbG77//jho1asDX1zdL8xQrVgxnzpzBtm3b4OXlhZs3b+Lt27coUqQILCws0KtXL7i4uEBPTy+bruzb0NPTw5EjR7BmzRps3rwZDx48QGJiIipXrozevXtjzJgx2XoDyq5du3Dy5EmcOHECt27dwps3bxAVFQV9fX2Ym5ujZcuW+PXXX+XubT5//nzY2tri9OnTuHHjBt68eYOIiAhoaWmhWLFiqF27Ntq0aQNHR8dvsp+7LHd3dzRt2hTLli3DtWvX8O7dO5QtWxa2traYPHkyzMxy7m96xYoVcf36dcyfPx/79u3D8+fPoauri3r16sHV1RX9+/dXeK4gCFi0aBEGDBiA9evX49y5c3j+/Dni4+NhaGiIKlWqoFWrVnBzcxP3rs8tJiYmOHnyJNq0aYO7d+9i8ODB0NbWlpvcJ5KHiXQiIiIiIiIiIiIiIgDNmzeXu5d1ZkKj00ohq3pDgOxK1TfvktSeT9l4OcXc3Fyj90Ydzs7OcHZ2zpaxMntPdHR0MHLkSIwcOVJhH09PT6Wl8lV5P7S0tDBgwACNEnfu7u5KV4ZLWVlZKYwlu95TeXMMGzYs2/ZBV6ZkyZLo168f+vXrp/a5xYsXh4ODAxwcHDSePzu/+1+PY2NjAxsbm2wZOzNff5+MjY0xa9YszJo1S6PxLC0txX3I1ZVdf7My+40Cad+BO3fuZMt8lP9oZd6FiIiIiIiIiIiIiIiIiIgo/2AinYiIiIiIiIiIiIiIiIiISAZLu1Oe8Hrea7GtpZ+LgRARERERERFlgf/WSLFdPRfjICIiIiIioqxhIp2IiIhylOem9l+eFGIxHCIiIiIiIiKi/OT9+/cIDQ3V6Nw6depkczTfp6SkJDx8+FCjcytWrAgDA4Nsjogof2AinYiIiIiIiIiIiIiIiHLE/v37MWjQII3OlUgk2RzN9yksLAwWFhYanevn5wcrK6vsDYgon+CyMCIiIiIiIiIiIiIiIiIiIhlckU5ERERERERERERE9A09eRcntg2hl4uREOU8Z2dnODs753YY3zVzc3OuzifKBUykE1GeMGV3B7E9y/5oLkZCRJR7Xs97Lba19HMxECIiIiIiIiIiIqJ8jol00pjt/j/E9uFu/+RiJERERERERERERERERERE2Yd7pBMREREREREREREREREREcnginQiIiIiUqqz9z6xrSeY5mIkRERERERERERERN8GV6QTERERERERERERERERERHJYCKdiIiIiIiIiIiIiIiIiIhIBhPpREREREREREREREREREREMphIJyIiIiIiIiIiIiIiIiIiksFEOhERERERERERERERERERkQwm0omIiIiIiIiIiIiIiIiIiGQwkU5ERERERERERERERERERCRDJ7cDIPpRhS89J7ZLjWqRi5EQERERERERERERERERkTqYSKdsYbdnndj27emSi5EQfX967rkitptrlc/FSIiIiIiIiIiIiIiIiAhgaXciIiIiIiIiIiIioiwxM6kOM5PqcHd3z+1Q6CshISEQBAGCIMDT0zNH5vD09BTnCAkJyZE58hJnZ2cIggBzc/PcDuW7ldvfGXNzcwiCAGdn528+d06Rvp/8O0zZiYl0IiIiIiIiIiIiIso33NzcxISLn5+fWueeOnVKPHfEiBFK+0r7yXtULWYoPsoU0xMfX/fLq0nZ9+/f48SJE5g1axa6deuGsmXLijFbWVllaezU1FQ0bdo03ftA2efFixdYtWoVevfujerVq8PAwAD6+vowMzND165dsX37diQnJ+d2mDnm5cuX2LNnDyZNmoQ2bdqgSJEiaidgY2JisGPHDri4uOCnn36CkZER9PT0UKJECVhZWWH+/Pl4//59jl5HXnfkyJF0v2Fl761EIsG5c+cwdepUtG3bFmXKlIGenh6KFCmC2rVr47fffsPt27e/XfBEMljanYiIiIiIiIiIiOg7ddBf9v/ifZNrcWimiEw7Y+xjupfOkVkdHR2xdu1aAMCWLVvQunVrlc/dunWr2B44cGC2x/a9aNCgQY4l+VeuXIlLly7lyNj53dSpUzFz5kxIJJIMx8LCwhAWFoYDBw5g4cKF2LNnD8qX/7G2oXz+/HmWV9EfOXIE3bt3R0JCQoZjUVFRCAgIQEBAAObPn4/t27er9fflRxEXF4dhw4ap3N/c3BwvXrzI8HpSUhLu37+P+/fvY/Xq1Rg/fjzmzJnDm2vom2IinYi+ewv3ffkPrZz6DywiIiIiIiIiIspdT97FpXtexdhAo3GaN2+OypUrIzg4GN7e3lixYgUKFiyY6XmfPn3Cnj17AADVq1dHkyZNxGOh0Q8BAKbFqomv3b17V+FY/RydcPfmDQCA37kb4uvFi+qm62dqaqrCFX17sonYUqVKoVGjRjh06FCWxw0LC8OUKVMgCAJMTEwQFRWV5TG/BWdn5++iRParV68gkUhgYGCA7t27o23btqhatSr09fURFBSEpUuX4urVq7h27Rqsra1x48YNGBoa5nbY2Ub2eysIAipXroyyZcvizJkzKo8RHR2NhIQEaGlpoV27dujQoQPq1asHIyMjhIaGwsvLCzt37kR4eDg6deqE8+fPo379+jlwNXnXX3/9hefPn6NkyZKIiIjItH9YWBgAoEqVKujZsyeaN2+OsmXL4tOnT/Dz88OiRYvw7t07zJs3D9ra2vjnn39y+hKIREykExEREREREREREVG+4ujoiGnTpiE2NhY+Pj7o06dPpufs378fsbGxAFRbjV6nTh2FxwoWKiS2a9T60q+0sa687nnOiBEjULFiRTRq1EhctZwdq0RHjBiBmJgYDB48GMHBwQgICMjymPSFiYkJ5s6di2HDhqFw4cLpjllaWqJv377o168fdu3ahcePH2PRokX466+/cina7Fe4cGHMnDkTjRo1QqNGjWBsbAx/f3+1Vo3r6urCzc0Nf/zxR4YV+w0aNEDnzp3RvHlzjBo1CvHx8Rg7dixOnTqV3ZeSZ924cQNLly5FgQIFMHPmTLi6umZ6TuPGjTFt2jS0b98+w9+RFi1aoF+/fmjatCkiIyPx77//YujQoahUqVJOXQJROtwjnYiIiIiIiIiIiIjylYEDB4oJmy1btqh0jrSfIAgYMGBAjsX2PRg3bhx69uyZraW/9+7di/3796N48eKYN29eto1LX8ydOxcTJkzIkESX0tbWxsqVK6GnpwcA8Pb2/pbh5TgTExNMmTIF7du3h7GxsUZj9O7dG6tXr1b63R85ciQaNmwIAPD390d0dLRGc31vUlJS4OLigpSUFPzxxx+oWrWqSudduHABNjY2Cm/GqVy5MqZOnQoASE5Oho+PT7bFTJQZJtKJiIiIiIiIiIiIKF+pWLEiWrRoAQA4fvx4puWHw8PDceLECQBAq1atUKFChXTHzUyqw8ykOtzd3XMkXlUdOHAANjY2KF68OAoVKoRq1aph/PjxePMmbWtEc3NzCIKQ58qQx8TEYNSoUQCAf//9FyYmJt90/sDAQMycORM2NjYwMzNDgQIFYGhoiKpVq8LJySnTPds9PT0hCAIEQVC6d3xkZCT+/PNPNGjQAEZGRtDX14e5uTkGDhyIc+fOKZ3j68/uwYMHcHFxgbm5OQoUKIBSpUqhe/fuWd5f3sTEBHXr1gUABAcHq3ROWFgYxowZg2rVqqFQoUIoUaIEbG1tceTIkSzFokhKSgo8PT1hY2OD0qVLQ09PD0ZGRqhatSratm2Lf/75B/fv38+RuVVlZWUFAEhNTcWzZ88y7Z+QkID58+fjp59+QtGiRVGkSBE0adIEK1asQEpKSg5HC1y9ehV9+/ZFuXLloK+vj3LlysHZ2RlBQUEqj7Fo0SLcuHED1apVw8SJE7M1PtmqAap+L78mkUgwYsQI8bc6bNgwpKamZleI9INiaXciIiIiIiIiIiIi+u68eZcktjUpie7o6IizZ88iOTkZ27dvx++//66w7/bt25GcnCyel9dIJBIMGzYMa9asSff648ePMX/+fGzduhWHDx/OpegyN2nSJISFhaFly5bfPMmvqLR3YmIinjx5gidPnmDz5s2YNGkSZs+erfE8x48fh729PWJiYtK9/vz5czx//hxbt27F8OHDsXTpUmhpKV8DuXfvXgwcOBDx8fHiaxEREdi/fz8OHjwILy8v9O7dW+NYExISACDTOADg2rVrsLOzS3czyqdPn3DkyBEcOXIEv//+OxYvXqxxLF/7+PEjbG1tcfbs2XSvf/jwAR8+fMCTJ09w+vRp3LhxI1dX1EvfQyDz9/Hdu3fo1asXrl+/nu71K1eu4MqVK9ixYwcOHz6ssJJAVm3cuBFubm7i3zgACA0NxaZNm7Bjxw5s2rQp0+9TSEgIpk2bBgBYuXIlChQokK0xqvN+ypOcnAwnJyds27YNADB58mTutU4q4Yp0IiIiIiIiIiIiIsp3HBwcULBgQQCZl3eXHi9UqBB69eqV47Gpa86cOWIS3czMDMuXL8fly5dx5swZTJkyBR8+fECvXr3SJV7ziosXL2LNmjXQ1dXFqlWrvvn8ycnJMDAwgIODA1avXg1/f3/cuHEDR48exYIFC8TqA3PmzIGHh4dGc9y6dQudO3dGTEwMdHV18b///Q9+fn64cuUK1qxZg4oVKwIAVqxYgcmTJysd686dO+jfvz9KlSqF5cuX49KlS7h48SLc3d2hr6+PlJQUuLq6IjIyUqNYIyIixFXINWrUUNo3Pj4e9vb2+PDhAyZNmoQzZ87g8uXLWLp0KcqUKQMAWLJkCRYuXKhRLPK4u7uLSfROnTph+/btOH/+PK5fv46jR49i7ty5+OWXXxSWCf9WAgICAAA6OjqoUqWK0r5ubm64fv06evfujcOHD+PatWvYtm0bGjVqBAA4d+4c+vfvnyNx3rp1C7/++itKliyJZcuW4fLlywgICMDEiRNRoEABJCQkYMCAAbhy5YrScYYNG4b4+Hj0798fbdu2zfY4pe8nkPn38mufPn1C165dxST6/PnzmUQnlXFFOhERERERERERERHlO0WKFEHXrl2xY8cOXL9+HUFBQahZs2aGfvfv38eNGzcAAN26dcuxVaGaev36Nf7++28AQKVKlXDx4kWULFlSPP7LL7/A1tYWrVu3RmJiYm6FKVdSUhJcXV2RmpqKiRMnolatWt88hvr16yM0NBRGRkYZjtnY2GDEiBHo1KkTTpw4genTp8PR0RHa2tpqzeHq6orExERoa2vj0KFDaN++vXisUaNGsLe3R4sWLXD//n3Mnz8fjo6OqF27ttyxbt68CUtLS5w6dQpFixYVX//5559RpUoVDBgwADExMdi6dStGjx6tVpxAWml96cpkBwcHpX0jIyPx/v17nDx5Ei1bthRfb9y4MXr27IkmTZogNDQUf/31FwYMGJDue6mpXbt2AQB69eqF3bt3ZzhuY2ODCRMm4O3bt1meS1O+vr64c+eOGE+RIkWU9r969Sr++eefdDdRWFpawt7eHp06dcKxY8dw8OBB+Pr6ws7OLltjvX37NipUqIBLly6hdOnS4ustW7aEjY0N2rdvj+TkZAwfPhxXr16VO8a2bdtw9OhRGBkZYcGCBdkaH5B2w4a0qoGenh66du2q8rkfPnxAp06dcO7cOWhra2PdunUYNGhQtsdIPy6uSCciIqI8p7P3PvFBRPS9WrjvjfggIiIiorxJtky7olXpsq/nxbLumzZtwufPnwGk7VEsL1nZrFkzDB8+/FuHlqm5c+ciMDAQFStWxF9//ZUrMRQvXlxuEl1KT08P//77L4C0Muy3bt1Sa/wrV66ICcihQ4emS6JLGRsbY+3atQDS9tReuXKl0jE3btyYLoku1a9fP5QtWxYAMpQ+V8Xly5fFhKWZmRl+++23TM9xc3NLl0SXKlu2rJhUjY+Px6ZNm9SOR543b9L+++qXX35R2q9YsWLZMp+63r59K/7WtLW1MWPGjEzPqVu3rtw9xXV0dLB+/Xro6qZtXZHZ90JTCxYsSJdEl2rdujVcXFwApJXwl5dIf/v2rXjDxuzZs1GqVKlsj2/ixIl48eIFAGD48OEwNTVV6bzw8HC0atUK586dQ4ECBbB7924m0UltTKQTERER0XfJc1N78UFERERERKSJ9u3biyWovby8IJFI0h2XSCTw8vICAJQpUwbW1tbfPMbMnDp1CgBgYmKidLVqXrsJ4PHjx5g1axYAYPny5WKZ/dyWkJCAFy9e4P79+wgMDERgYGC678Xt27fVGu/kyZNie8iQIQr7NW/eXKyIIHvO1ywsLFC3bl25xwRBQIMGDQAAT58+VSvO8PBw9OrVC8nJyRAEAZs2bUKhQoUyPU9ZYrJ79+7iTQrKrkkd0t/rzp0789xWBSkpKejfvz+eP38OAPjzzz/Fz0MZJycnhft+m5mZiTdf+Pv7IyUlJfsCRtpNHMpWeA8ePFhsy/sMx40bh4iICDRp0gSurq7ZGhuQ9nd5+fLlAICaNWuKfzMyExISghYtWuD27dswNDSEr68vunfvnu3x0Y+Ppd2JiIiIiIiIiIiIKF/S1tZGv379sGDBArx48QIBAQGwsrISj/v7++Ply5cA0lb7qlvSW1NJSUl4+PDhl+dRcWJbN9IA1atXF1epBgYGAkgrUa4sPgsLC3HP469FREQgIiJC7nkGBgbiHt7Zyc3NDZ8/f0bPnj1ha2ub7eOrIy4uDkuXLsWOHTtw7949pcnKqKgotcaWfj56enqZJlWbNGmCoKAgPH78GImJidDT08vQJ7P9oaUrsWNjY1WOMTY2FnZ2dggNDQUA/PPPP2jTpk2m5+np6SlM6gOArq4uGjRoAD8/P/F9yConJyfMmDEDFy5cQMWKFWFvb4+2bduiRYsWKFGiRLbMoanffvsNR48eBQDY2dmpXGVBuhe6Io0bN4avry/i4+Px9OlTVK1aNcuxSjVo0AA6OopThfXr14eenh4SExMzfIb+/v7w8PCAtrY2Vq9erfBmAE35+/uLN58YGxvD29tbpRtugoKC0KJFC4SFhcHExASHDx9G48aNszU2yj+YSCciIiIiIiKifCddRZNCLNhHRJSfOTk5iSWot2zZki6Rnltl3cPCwmBhYaHw+LNnz2Bubg4AePfuHQBkuv+0trY2jI2NxdLYslauXInp06fLPa9Vq1bw9/dXLXAVbdy4EX5+fihcuDCWLFmSrWOrKyQkBG3atMGzZ89U6v/p0ye1xpfu1V2sWDGlCUsAYnltiUSCd+/eyS2TndkqcWkyU9WVy58/f0bXrl1x/fp1AMCYMWMwadIklc5V5Zqk15Bde5b/9ddfCAsLg4eHByIiIrBixQqsWLECgiCgdu3a6NGjB3777bccKTGuzOTJk8Xy/C1atMDu3btVvvEms9+u7LVk997vmc2to6ODYsWK4c2bN+nmTkhIgJubGwBg1KhRqF+/frbGde3aNXTp0gUJCQkwMDDA4cOHUatWLZXO3bVrl9hetWoVk+iUJUykExEREREREREREVG+ZWFhgXr16uH27dvw9vYWy4x/+vQJe/bsAQDUq1dP6cpbUs/cuXMBpCXpFe3lLbtCfseOHQDSVsd37tw5W2MZOHAgnj17BkEQMGjQIPTp0wc1a9ZEiRIlUKBAAQBp+5ZLk6Jfl/9XlSAImfbRdGxNJScnw8HBAX5+fgDS9nCX3lSiity4Jl1dXWzYsAFjx47F9u3bcfr0aVy7dk1cMR0YGIiFCxdi69atSkuWZ6e5c+dizpw5AICffvoJhw4dUmurgszex5z8Xmj6Ge7duxePHj2Cjo4OatWqJf5GZd2/f19sBwYGin2aNGmitMrFvXv30KFDB8TGxqJAgQLYv38/fv75Z1UuBwBgY2ODc+fOIS4uDiNGjEDt2rVVTsITfY2JdCIiIiIiIiIiIiLK15ycnDBmzBjExMTgwIED6N27N3x8fBATEwPg2+8vbm5uni55lRT+pUy3bqnC6fpKV5krKs0ulZKSIq5e/5q7uzvc3d01D1hN0vLyhw4dwqFDhzLt37dvXwBAhQoVsjWR/uDBA5w7dw5A2opiRfsvK3rfVCEttR4dHY3k5GSlK7jDw8MBpCU3jY2NNZ5TFampqRg4cCAOHjwIAOjduzfWrFmj1hjR0dFISUlRuvJa+r2Uvg/ZpVatWpgxYwZmzJiBT58+4fz589i2bRs2b96Mjx8/om/fvggODhb3VM8pK1euFFfw16xZE8eOHUPRokXVGiM8PBzVqlVTeFz2t53d76P0O6dIcnKy+P2XnVv6G05OToaLi0um8+zZs0e8McnDw0NhIj04OBjt2rVDdHQ0dHR0sHPnTlhbW6t0LVI///wzJk+eDFtbW0RERKBt27bw9/dH9erV1RqHCABYu4yIiIiIiEiBKbs7iA8iIiIi+nH169dPTHBKy7lL/yndRz2vql27NgDg1q1bSst53717V+7+6PnZvXv3xHafPn0U9rt27ZrGc9SpUwcAkJiYiJs3byrte+XKFQBA1apV5e6Pnp3c3NzEFcKdOnXCli1b1N7jOjExEbdv31Z4PDk5Gbdu3QLw5X3ICQULFoS1tTU2btyIf//9F0BaCX5VbtLIii1btmDEiBEAgEqVKuHkyZMoXry42uNcvXpVpeOFChVCpUqV1A9UiVu3biE5OVnh8du3byMxMRFAzn6GABAaGoq2bdvi9evX0NLSwqZNmzSuKtCqVSuxMsCbN2/QunVrPH78OJsjpvyAiXQiIiIiIiIiIiIiytdKlSqF9u3bAwCOHTuGwMBAHD9+HADQvn17ce/qvKht27YA0lYH+/r6Kuy3efPmbxVSpkJCQiCRSJQ+WrVqJfaXvhYSEpKtccgmEOPj4xX2W716tcZzyK6m3bBhg8J+Fy9eFEthq7sCV11jxozB+vXrAaR9f7y9vaGrq6vRWJs2bVJ4bN++feJq5py+Jinp7wEAoqKicmyevXv3YtCgQZBIJDAzM8OpU6dQtmxZjcbasmWLwvLtYWFh4t8iKysrlfddV9Xbt2/FqgTybNy4UWzLfobOzs6Z/oalWwYAwLRp08TXnZ2dM8wTEREBa2trPH/+HEDaby6rNzC1bt0aBw8eRMGCBfH69Wu0bt0aT548ydKYlP8wkU5ERERERERERERE+Z6TkxOAtORqnz59xCTrty7rri4nJydxL+/Ro0cjMjIyQ5+LFy9ixYoV3zq0PK9q1apiW1FCeNWqVdi/f7/GczRu3BiNGjUCAKxfvx4nTpzI0OfDhw9wc3MDAGhpaWHYsGEaz5cZd3d3LFq0CADQrFkz+Pj4iN8fTaxatUosjy/rzZs3GDduHIC0ldTS31dWvH37FgcOHFC6Z7g06QxA6T7cWXH8+HH07dsXKSkpKFmyJE6ePAlzc3ONx7t165a4kl6WtGy6dEV4Tn0vxowZI7fEe0BAANauXQsAsLS0FL/H2e39+/ewsbHBw4cPAQCLFi1SqVy8Ktq2bQsfHx/o6+sjLCwMbdq0wdOnT7NlbMofuEc6EREREREREREREeV7Xbp0gZGREd6/fy+W/C5SpIjGpYW/lbJly2LatGn4448/8PTpU1haWmLSpElo1KgREhIScOzYMSxYsABly5ZFXFwcIiMjIQhClua8deuWWLL7a2/evIGnp2e613r16gVDQ8MszZkTGjRogDp16iAwMBCrVq3C+/fv0b9/f5QpUwYvX77E1q1b4e3tjebNm+P8+fMaz7N27Vo0adIEiYmJsLOzw8iRI9G5c2cYGhri5s2bmDNnjpjcGzduXI6V0F62bBmmT58OADA1NcW8efPw7NkzpedUr15d4Wr1EiVKoFChQmjXrh1Gjx4NW1tbFChQAFeuXME///yDV69eAQBmzJiBkiVLZjn+mJgYdO3aFebm5ujRoweaNGmCChUqQEdHB69fv8bBgwfFlfZmZmbo3LlzhjGOHj2KN2/eiM8fPHggtm/dupXuu2toaIhevXqlO//SpUvo3r07EhMToauri0WLFiEpKQmBgYEK4zYzM4ORkZHC4w0bNsTEiRNx69YtODo6omTJknj8+DEWLlwolvvv3LkzOnXqpPT90US9evVw//59WFpaYvLkyWjcuDESEhJw+PBhLFq0CMnJydDR0cmxG3ESEhJgZ2cn/j3p378/rK2tlb6fBgYGat0k0a5dO+zbtw/dunXDy5cv0aZNGwQEBKBChQpZDZ/yASbSiYiIiLKR3Z51Ytu3Z/bcPUtEREREREQ5T19fH/b29li37st/19nb26NgwYIAgJjIL/vrFilRNcP5uWnSpEl4/vw51qxZg5cvX2L48OHpjhcvXhy7d+9Gjx49AKRda1bs379fTMh+7eHDhxg0aFC616ysrPJkIl0QBGzZsgVt2rTBu3fvsH37dmzfvj1dHwsLC+zevVvjst0AUL9+fRw8eBD29vaIiYnBwoULsXDhwgz9hg8fjtmzZ2s8T2b27NkjtsPCwtCiRYtMz3n27JnC1daFChWCt7c3OnbsiNmzZ8uNfdSoURgzZozGMcsTEhIi9/2TMjU1xYEDB2BgYJDh2Jw5cxAQECD3PB8fH/j4+IjPK1SokCGRfvToUXEbgKSkJPTv3z/TeD08POSWM5dau3YthgwZIvf7BwDNmzeHl5dXpvNoon79+hgxYgSGDRsm7vcuS09PD5s2bUKTJk1yZP7Xr1/jwoUL4nMvL69Mr7VVq1bw9/dXa54OHTpg79696N69O54/f47WrVvD398f5cuX1yRsykeYSCciIiIiIiIiIiL6TnW2+rLHc1Vjs1yMRH1hbx+JbdNi1XIxki+cnJzSJdLzell3KUEQsHr1atja2mLFihW4du0a4uPjYWZmBltbW4wfPx5mZmaIiYkBABQtWjSXI8476tevj1u3bmH27Nk4cuQIXr16hcKFC6NKlSpwcHDA8OHDs3zjAQC0b98eT548weLFi3H48GE8ffoUCQkJKFWqFH755Rf8+uuvKiW285qGDRvixo0bmD9/Pnx9fREWFgYDAwM0atQIo0aNQseOHbNtrgoVKuDWrVs4ceIETp8+jadPnyI8PBwfP36EkZERateujc6dO8PV1RWFCxfOtnlzmrGxMS5cuIDFixdj586dCA4OhkQiQc2aNeHo6Ihhw4Zl+97osoYOHYo6depg0aJFOHfuHKKiolCiRAm0bdsWEydORK1atXJs7m/J1tYWe/bsQc+ePfHs2TO0adMG/v7+MDP7vv63k74tJtKJiIiIiIiIiIiIiJC28jMxPEp8rlvSRKXzQqPT9vZV9YYAr4NH1Q9OBV26dEGXLl3kHgsNDcWHDx8ApN8bXBPu7u5wd3fP0hiZUXfFqSLm5uZK99QGgPLly2PVqlVK+ygbw9nZWemKY6kSJUpg1qxZmDVrVqZ9vxYSEqJSP09Pzwyl9aWy6z39eo5y5cphyZIlWLJkSbaMr4ggCKhXrx7q1asn7r+urqy+B9n13Zf3nZk0aRImTZqU5bFV8fX36eeff8bOnTuzdQ4rK6tMf3uq/D5Vpco4nTp1QkJCQrbMR/mDVm4HQEREREREREREREREOUu2ZPTPP/+ci5EQERF9H7ginbJdZ+99YltPMM3FSIiIiIiIiIiIiIh+fHFxcYiJiUGZMmXkHr958yZmzJgBALC0tETt2rW/ZXhERETfJSbSiei71HPPFbHdXKt8LkZCRERERERERESUuyIjI1GzZk1069YNHTp0QPXq1VGgQAG8evUKR48exYYNG/Dp0ycIgoCFCxfmdrhERETfBSbSiYiIiIiIiIiIiIi+c58/f8aOHTuwY8cOucf19PSwbt06tGzZ8htHRvTFs2fPEBcXp/Z5xsbGMDVlBVwAiIiIQEREhNrn6enpoVq1ajkQEdGPi4l0IiIiIiIiIiIiIqLvmKmpKXbu3IkjR47g2rVriIiIwLt371CoUCGYm5vD2toaI0eORIUKFXI7VMrnBg0ahICAALXPc3JygqenZ/YH9B1auXIlpk+frvZ5FSpUQEhISPYHRPQDYyKdiIiIiIiIiIiIiOg7pqurCwcHBzg4OOR2KERERD8MJtIp1/hvjRTb1XMxDiIiIiIiIiIiIiIiynn+/v65HcJ3z93dHe7u7rkdBlG+oJXbARAREREREREREREREREREeUlXJFORERERERERESUB/Tcc0VsN9cqn4uREBERERERE+lERERERERERERElGVJEdFiW7ekSS5GQkRERJR1LO1OREREREREREREREREREQkgyvSiYiIiIiIiIgy0dl7X7rneoJpLkVCRERERERE3wJXpBMREREREREREREREREREclgIp2IiIiIiIiIiIiIiIiIiEgGE+lEREREREREREREREREREQyuEc6ERERERERERERERGp5PHbd2K7ajHjXIyEiIgoZ3FFOhERERERERERERERERERkQwm0omIiIiIiIiIiIiIiIiIiGSwtDvlG56b2n95Uoj3kBAREREREREREX0LMZGPxXaRElVzMRIiIiIi1TGRTkREREREREREREQ/pKTwWLGtW6pwLkZCRERE3xsuyyUiIiIiIiIiIiIiygIzk+owM6kOd3f3dK8/fhcpPoik/P39IQgCBEGAv79/to7t6ekpjh0SEpKtY39r7u7u4rXkppz8vKTyyrUSUXpMpBMRERERERERERFRvuHm5iYmrPz8/NQ61//MBRQtWQ2CIGDEiBFK+wqCgGrFSooP6ZyCIKBqMUPxUaaYnviQ7aNqItTKyirDedKHrq4uSpQogVatWmHevHl49+6dWteryJOHD7Fl3To4OTnhp59+gpmZGfT19WFgYIBKlSqhd+/e8PHxgUQiUTrOixcvsGrVKvTu3RvVq1eHgYEB9PX1YWZmhq5du2L79u1ITk7OlpiJKGetXLky3d8fT09Plc67ePEiBg4cCHNzc+jr66NMmTLo0KEDduzYofLcycnJWLNmDVq2bIkSJUqgYMGCqFKlCn799Vfcv39fwyv6sSQkJGDfvn2YPHkyrK2tUa1aNRQrVgy6urowMTFBs2bNMHXqVISGhiodJzk5GSdOnMD48ePxyy+/oESJEtDV1YWRkRF++uknjBs3DsHBwd/oqnIeS7sTERERERERERERfafCfAt8aSMvrXqWjcVIwevGYuuxnNitBpTI7qAAAI6Ojli7di0AYMuWLWjdurXK5+7yPiC2Bw4cmO2xZbfk5GRERUXhzJkzOHPmDBYuXIj9+/fj559/ztK4qxcuxAHv3XKPPXv2DM+ePcOuXbvQqlUr7N27F8WKFcvQb+rUqZg5c6bcZHtYWBjCwsJw4MABLFy4EHv27EH58uWzFDMR5ZxXr15h8uTJap/3999/Y/r06UhNTRVfe/PmDd68eYNjx45h27Zt2LVrF/T19RWOER0dDTs7O1y+fDnd68HBwQgODoanpydWrlyJwYMHqx3fj+Tly5fo0aOH3GNv377FxYsXcfHiRSxcuBArV66Eo6Njhn6RkZGoWbMmoqOjMxz78OEDbt68iZs3b2LZsmWYN28efv/992y/jm+NiXQiIiIiIiIiIiIiyjeaN2+OypUrIzg4GN7e3lixYgUKFiyY6XmfPn3GgUPHAADVq1dHkyZNxGOh0Q8BAKbFqomv3b17F88/vBWfVyj6JZncz9EJd2/eAAD4nbshvl68qG66OU1NTdW5NNy9ezfd88TERDx9+hRbtmzBgQMHEB4eDjs7Ozx8+BDFixdXa2xZ2jo6qGdpibatWsHCwgKlS5dGiRIl8O7dOzx48ABr1qxBYGAgAgIC0LlzZ5w9exZaWukL5L569QoSiQQGBgbo3r072rZti6pVq0JfXx9BQUFYunQprl69imvXrsHa2ho3btyAoaGhxjHnJVZWVpmu1qf8xd3dPcPWEN+TESNGICYmBiVLlkRERIRK56xfvx7Tpk0DAFSuXBl//PEHLCws8OrVKyxZsgR+fn44ePAghg4diq1bt8odIyUlBT169BCT6D169ICLiwuKFSuGy5cvY+bMmYiIiICrqytMTU1hY2OTPRf8nSpZsiRat26NRo0aoUKFCihTpgx0dXURFhYGX19feHl5IS4uDs7OzihRogQ6duyY7vyEhAQxiV6/fn107doVTZo0QalSpfDhwwccOXIEy5Ytw+fPn/G///0PBQsWhKura25carZhIp1+OKHLZe4qUnyTEhEREREREREREeVTjo6OmDZtGmJjY+Hj44M+ffpkeo7vkZOI/RgHQLXV6HXq1EEBmb3Rqxp/WWFfsFAhsV2jVh2xXdo4fSJdXXXq1Mnw2k8//YRevXrByckJmzdvxtu3b7FhwwZMnDhR43lmLVkCHR0dVC1mnOGYtbU1hg0bBgcHB+zduxcXLlyAr68vOnfunK6fiYkJ5s6di2HDhqFw4cLpjllaWqJv377o168fdu3ahcePH2PRokX466+/NI6ZiHKGj48P9u3bhxIlSmDixIkYO3Zspue8f/8e48ePBwCUL18ely5dSndzT6dOndC9e3ccPHgQXl5ecHV1RcuWLTOMs2XLFpw5cwYA8Ntvv2HFihXiscaNG6Njx46wtLRETEwMRo4cifv370NHJ3+mRitVqoQ3b95AEAS5x7t37w5XV1e0aNECSUlJ+PPPPzMk0gVBQLt27fD333/LrWzSunVr9OzZE61bt8anT58wYcIE9O3bN8Pf+O8J90gnIiIiIiIiIiIionxl4MCBYjJhy5YtCvslRoSIjx279wNISyQMGDDgW4SZrSZMmCC2z505hZjIx4iJfKzRWJklorS1tdPNJ010yZo7dy4mTJigMMGira2NlStXQk9PDwDg7e2tUaxElHNiY2MxYsQIAMD8+fPlbuMgz7p16/D+/XsAaX8Lvq6QIf39a2trAwD+/fdfueNIXzc2Npbbp0qVKmLJ+cePH8PHx0el+H5EWlpaCpPoUo0bN0bbtm0BADdu3MDHjx/THTc1NcXx48eVbg/SpEkT/PbbbwDSyr2fPHkyi5HnLibSiYiIiIiIiIiIiChfqVixIlq0aAEAOH78eKaliMMjIuEXcAEA0KJZY1SoUCHdcTOT6jAzqZ6nSzObm5uL7YSEhByfz8DAQGx//vxZozFMTExQt25dAGn7HWeH0NBQDB8+HJUqVYK+vj7Kli2LLl26iMked3d3CIIgN+EUEhIiHvP09FQ6j7m5OQRBgLOzc4Zj/v7+4jj+/v5Kxzl8+DAGDBiASpUqwcDAAEWLFkXt2rXRp08f7NmzB58+fVL10kUvX75EjRo1IAgCDA0NceLEiQx94uLi8Pfff8PCwgIGBgYwMTFBixYtsHHjRkgkEpWvQSKRwNvbGz179kS5cuWgr68PY2NjNG7cGDNmzBCTqZqQzp/Z787KygqCIMDKykrjuTJz6dIl/Pnnn7CyskLp0qWhp6eHIkWKoFatWhg2bBju37+v9Hxl3ztZISEhGD16NGrXro3ChQujUKFCqFq1Ktzc3DJs7fC1r9+vq1evom/fvjAzM0OBAgVgamqKgQMHIigoSOXrnjx5MkJDQ2FlZSV3T21F9u/fDwAoUqSIwn27zczMYG1tDQA4ceJEhqTu48ePxfe1d+/eKCRT6UOW7G9w7969GY5//d7HxMTA3d0dFhYWMDQ0RKlSpWBra4sLFy6kOy8iIgJ//vknateuLf5Gunbtips3b2b+BmTBlStX4OLigmrVqsHQ0BAGBgaoUaMGhg8fjsePNbs5Spbs325N/7eidevWYju7/nbnlvxZv4CIiIiIiEgBz03tvzwpxHuPiYiIiH5Ujo6OOHv2LJKTk7F9+3b8/vvvCvvu3HcQycnJAIA+Dt2+UYTZKyQkRGybmZbN8fm2b98utmvUqKHxONJEztd7rGsiICAAXbp0QUxMjPja69evcfDgQRw8eBDTp0/P8hzZJTo6Gr1798apU6cyHLt//z7u37+PnTt3wsPDQ26yXpGHDx+iXbt2ePnyJYyNjXH48OEMq0tfvnyJNm3a4MmTJ+Jr8fHxOH/+PM6fP499+/Zh1KhRmc4VGRmJ7t274/z58+leT0hIwNWrV3H16lWsWLECPj4+aNKkicrXkNd4enpi0KBBGV5PSkpCUFAQgoKCsG7dOixdulRcqauJzZs3w9XVNUNy88mTJ3jy5Ak2bNiAGTNmiCuwlVm+fDlGjx4t/l0DgFevXmHr1q3Yu3cvjhw5IreUuqzLly9j1apV0NPTw6pVq1S+jsTERFy5cgUA0LRpU7HqhDytWrXCsWPHxO+MbIL27Nmz6fopUrp0aVSrVg2PHj3CuXPnlMb28uVLWFtb49GjR+JrcXFxOHLkCI4fP47t27fD3t4ed+7cga2tLcLCwsR+8fHxOHDgAI4dO4bDhw+jTZs2SudSV3JyMkaNGiX3vX748CEePnyIdevWYcWKFXBxcdFojoiICJw+fRoAULx4cZiYmGg0jux3NDv+ducmJtKJ6JvyW28ntlsP9c3FSIiIiIiIiIiIKD9zcHDAqFGj8OnTJ2zZskVpIn2b9z4AQKFCBdG1s823CjFbzZ8/X2zbdsjeBI9UVFQUHj9+jPXr18PDwwNA2qry/v37azReRESEuDo2K8l4IO1Ggs6dOyM2NhZaWlpwdXVFr169ULRoUdy5cwdz5szBtGnT0LBhwyzNkx3i4+PRunVrcYWxpaUlXF1dUadOHRQoUAAvX77EmTNnsHPnTrXGvX79Ojp06ICoqCiUKVMGx48fR506ddL1SUxMhK2trZhE79ixI1xdXVGuXDmEhoZi7dq1OHToECIjI5XOFRcXh1atWiEoKAh6enoYNGgQbG1tUa5cOcTFxeHMmTNYuHAhwsPD0bFjR9y8eTNDpYfvRXJyMoyNjdGlSxe0atUKVatWhYGBAV69eoUbN25g6dKliIqKwogRI1CjRg2NEqy+vr5wdnaGRCKBoaEhxo4dC2tra+jo6ODChQuYPXs2oqKi8Mcff8DIyAjDhg1TONaxY8dw+fJl1K1bF7///jssLCzw6dMn7Nu3D0uWLEF8fDwGDhyIx48fK0xyJyUlwcXFBampqRg/frxav8/Hjx+LCfzMzpM9HhQUlC6RLrtyXpVxHj16hJcvXyIuLi7dqmtZ9vb2CA0NxeTJk9GhQwcUKlQI586dw7Rp0xATE4MhQ4agYcOG6NSpEz59+oRZs2ahVatW0NXVxdGjRzFr1iwkJCRg0KBBSt8/TQwZMgSbN28GkPa77N+/P6pVqwZBEHDr1i0sXrwY9+7dg6urK0qXLo3OnTurNG5CQgJevXqFkydPYu7cuXj37h0AKP3fxMwEBASI7az+7c5tTKQTERERERERERERUb5TpEgRdO3aFTt27MD169cRFBSEmjVrZugX9PAxbt4JBADYdbBGYUPDbx2qygIDA9M9T0xMREhICLZu3Yp9+9JuBujauQPaW1tl25xWVlbpkiayihUrhr1798LIyEijsf/9918x4ebg4KBpiACAsWPHIjY2FgCwdetW9O3bVzzWsGFD2Nvb45dffsG1a9eyNE92mDJliphEHz58OJYtW5au5LelpSW6deuGOXPmiEmvzPj7+6NLly6IjY1F5cqVceLECVSsWDFDvxUrVojfoxEjRmDZsmXp5u3atStGjhyJ5cuXK51v0qRJCAoKQtGiRXHy5MkMNyi0aNEC/fv3R9OmTfH69Wv8+eef2LJli0rXktd07NgR/fr1y1BavEGDBrCzs8OoUaPQsmVL3LlzB9OmTVM7kZ6UlAQ3NzcxiX727FnUr19fPP7zzz+jZ8+e4ns5btw42NvbZ9h3XOrSpUuwtbXFvn370iV6f/nlF5iYmODPP//Eixcv4Ovri+7du8sd499//8Xdu3dRqVIlTJkyRa3refnypdg2MzNT2rdcuXJyz9N0HIlEgtDQUFSvXl1uv1u3biEgICBdhYSGDRuiWrVqsLOzQ2xsLJo0aQKJRIIrV66gcuXKYr/GjRujePHiGD58eKbvn7r27NkjJtHXrVuHoUOHpjvesGFDDBgwAHZ2djh9+jRGjRqFjh07QkdHfhrY398/3U0JX+vfvz/Gjx+vUayvX78Wb6QqXry40nm+B9/3enoiIiIiIiIiIiIiIg3J7umrKInntXuf2M6srHv0pxg8fhcqPr41CwuLdA9LS0v07NkT+/btQ7Vq1bB+/Xp4rlv8TWIZOXIkgoKCMi0Prcjly5exePFiAGlJsqyUxH79+jV8fHwAAJ06dUqXRJcqXLgw1q5dq/Ec2eXdu3diHD/99BOWLFmicN9sPT09lCpVKtMxfXx80LFjR8TGxsLCwgLnzp2Tm0QHgDVr1gAAypYti3///Vdun3///RdlyyreHiAqKgrr168HAPz9998KV/lXqFABf/31FwBg586diI+Pz/Ra8iJTU1OF+3MDQNGiRfH3338DAM6dO4fo6Gi1xt+3b59YQnzKlCnpkuhSFSpUED+v+Ph4MZEpj76+Pjw8POSulh41apT4umzpdFlPnjzBjBkzAKTdeFGwYEG1rkd6QwsAGGZyY5LsyvGv90jPrnFk/e9//5O7zYCtra1YMSEyMhIzZ85Ml0SXGjRoEPT19QEofv80MXv2bABA9+7dMyTRpfT19cUbXEJCQuDv76/2PObm5jh69Ci2bt2KAgUKqH2+RCLBr7/+Kn42f/31l9rfj7yGiXQAgiCUFwRhviAIQYIgxAmC8FYQhCuCIIwTBEHxXz/N5rIWBMFTEIQn/831QRCER4IgeAuCMEwQhLx7OyMRERERERERERHRD6R9+/YoU6YMAMDLywsSiSTdcYlEgh170xKwpUuVROtWzb55jNnl0aNH2LhxIy5fuZGt43p4eODu3bu4c+eOWK67atWqWLFiBYYMGYLw8HC1xwwPD0evXr2QnJwMQRCwadMmpYnKzPj5+SElJQUA5O5lLdW4cWPUrl1b43myg5+fn5hQHjVqFLS1tbM03qZNm9CzZ098/vwZTZs2RUBAAEqXLi23b1hYGB4+fAggrQKANCH4NX19fdjb2yuc89ixY/j8+bM4jjLSGy2SkpJw/fr1TK/nexAXF4eQkBDcu3cPgYGBCAwMhK6urnj89u3bao138uRJAIAgCBg8eLDCfvb29ihatGi6c+Rp164dSpYsKfdY4cKFUbVqVQDA06dP5fb59ddf8fnzZ9jb26NDhw4qXYMs6XcDQKalz2WTuZ8+fcqRcWT16dNH4bG6desCSPscFH2vCxYsmOn7p66wsDDxt5HZ76lmzZpiJYKLFy8q7NeoUSPcvXsXd+/exbVr17B37144Ozvj5cuXGDRoEDZs2KBRrP/88w8OHDgAAGjdujVGjBih0Th5Sb4v7S4Igh0ALwBFZV4uBKDRf4+hgiDYSiSSLH3jBUEwBuABoKucw0UAVAXQE8BFALeyMhcRERERERERERERZU5bWxv9+vXDggUL8OLFCwQEBKB5LQvxeMD5S3gZ9goA0KtHpywnNVWVlJQkJjQBICkqTmzrRhqgevXq6RJzUl/fCJCamoqoqCicO3cOf//9Ny5cuICu9tewYfVCdLZrn67v12XhZVWsWFHhnsJfr2z+5ZdfMGzYMNjb2+PQoUNo1KgRLly4kGnpZanY2FjY2dkhNDRtRf8///yjsBT2s2fPEBcXJ/dYyZIlxWShtEw6kJZAUqZx48a4d++eSrHmhJs3b4ptTVfzSy1ZsgRLliyBRCKBjY0N9u7dq/SGBNnvgKWlpdKxle0lL1seX3qjiirevHmjct+8JioqCgsXLsSePXvw+PHjDL/Fr/uqQ/q5mJubK0yAA2nJ5AYNGsDf31/p7zmzPauLFSsGIP2KbylPT0+cOnUKRYoUEStGqEv2Bo3ExESlfRMSEsT21yubvx5H0Y0fmY0jq1q1agqPSbeoKF68OIyNjTPtJ+/904Ts76lv375yK2rIo+z3ZGBggDp16ojPLS0t0b17d7E8/NChQxEWFoapU6eqHKeXl5dYYcLc3Bzbtm2Dltb3v547XyfSBUGoB2AX0hLnHwHMBuAHoCCAPgBcAFQH4CsIQiOJRKK43oPyeYoCOAFA+r88vgB2AHgCQBtABaQl7XtpfDFEREREREREREREpDYnJycsWLAAQFp59+az54nHtsmUde+bSVn37BQWFgYLCwuFx589ewZzc/NMx9HS0kLJkiXRo0cPtG/fHpaWlnj06BF+GzUJLZo3gbHRl/Vlyubz8/ODlZWVyvFLS0dXqFABL1++xIQJE7Bt27ZMz/v8+TO6du0qrr4cM2YMJk2apLD/oEGDFO7PPm3aNLi7uwNAun3ElSUiAahUKj0nySZZ1UlCyyNNdJYoUQJ79uzJdFW/Ou9TiRIlFB6LiIhQPUgZ32tp9+vXr8PGxkblku3KVkTL8/btWwCqfTel1Qak58iT2fdAmvyUVnGQioyMxLhx4wAAM2bMUFreX5nChQuLbWVl1gGku1Hm6/LtX4+jLJGubBxZyt4b6fui6funqW/5e2rbti1+//13zJs3D9OnT4eDg0OmN14AgK+vLwYNGgSJRIJSpUrhxIkTCitffG/ydSIdwGKkJdGTAbSXSCSydQ5OC4LwGMA8ADUAjAHwt4bzLENaEj0ZwACJRLLzq+PnAWwTBGEM0hLrRERERERERERERPQNWFhYoF69erh9+za8vb2xaOp0FCxYEJ8+fcI+36MAgLq1a6JO7cyTCXmZoaEhhg0bhtGjRyMm9iN8Dh6F88DeOTZf8eLF0bx5c5w4cQI++30QHxqPQmaKE1DJyclwcHCAn58fAGDo0KHiDQ5ZJbs6WNF+4/L6fu969uyJPXv2IDIyEgMGDMDu3buho5PzaSFpAlFPT0+tcu2qVi3ISxITE+Hg4IDo6Gjo6upi5MiR6Nq1K6pVqwZjY2OxpPjTp0/FPbU1/Y5l9t3NytiqWL9+PaKjo2FkZAQTExPs2LEjQ5/Lly+na0uT223atBFvzpD9nKWVJxR5+fKl2C5Xrly6Y1+PIy1prmwcQRC+u++ZbELey8tLLDGfGWWr5pXp2rUr5s2bh9TUVOzduxd//PGH0v7+/v7o1asXkpKSYGxsjOPHj6NKlSoazZ0X5dtEuiAIjQBY/fd0w1dJdKkFAAYBqAngf4IgzJZIJElqztMCwMD/ns6Uk0QXSdL+wiWrMz4RERERERERERERZY2TkxPGjBmDmJgYHDx2FA7duuPA0SOI+a80b3+HHt80HnNz83QJsaTwLyWCdUsVlneKSmRXFt4PepTuWE4k4KSrluM/xSMyOhIVzCrI7ZeamoqBAwfi4MGDAIDevXtjzZo1mY7v7++vUhzSUtVA2v7rXyfkZClb/Slbpjg1NVXpnIpKzmdGNhn4+vXrDKXz1TF//nyUKVMGy5cvx/79+9G3b19s375dYTJdNvGW2SrYyMhIhcdMTEwApCWZTUxMsryyXhFBECCRSHLss1DF6dOnxb2wV6xYARcXF7n9ZFf7q0v6/VWl9H14eHi6c7KTtDz6+/fvMWDAgEz7r169GqtXrwaQVtVCmkivVq0atLW1kZKSggcPHigdQ/Z4zZo10x2rVatWun7169fPdJxy5cop3KYir5L+noC077xsSfacIFtt4vnz50r7XrlyBZ07d8bnz59haGiII0eOqJzo/158/8XpNddNpu0hr4NEIkkFsPm/p8b4knhXx4j//vkRaYl5IiIiIqIcsXDfG/FBRERE+UP40nPig4g0169fPzG5uG33rrR/eqf9U1tbG316dM212LJTcvKXdVxJSTm/pissLExsGxooLqfs5uYmrm7t1KkTtmzZkq1768qWrb969arSvsqOy5aSVpYYjY6OVnsfbKmffvpJbJ85c0ajMWQtW7YMw4YNAwB4e3tjwIABCktO165dW2zL7sssj7LjDRo0ENvHjx9XJ1y1SD8PZZ9FamoqHj9+nGMx3Lt3T2z36dNHYb/M3k9lpInTkJAQpTc4JCUl4ebNm+nOyYv09PTQuHFjAMDFixeV7pMu3bqhQIECaNiwYbpjLVq0yNBPnjdv3uDRo7Qbh5o3b65x3LnlW/2epNL93VZSBv/OnTvo0KGDWFb/4MGDaNKkSY7H963l50T6L//9Mw6Astoisr++Fgp7ySEIgh4A6b9hHZHusS4Igo4gCBUEQSj/Xx8iIiIiIiIiIiIiyiWlSpVC+/btAQDH/f0QGBSEE/+tdra2+gWlSyreD/p7IpskNjXN2f1rw8LCcPFiWiHYCmYVUNhQ/kr6MWPGYP369QDS9uf19vaGrq5utsbSunVraGun7aq6adMmhf2uXbuGwMBAhceNjY1hZGQk9lVk+/btmgWKtFilK2aXLVuWLfssr1ixAq6urgCAnTt3wtHRUe4qbjMzM1SrVg0AsHv3bnz+/FnueJ8/f8bu3bsVztexY0fxM1y0aFG6Gziyk3S1vrLP4vDhw/jw4UOOzA+kvzlF0Z7UqampWLt2rcZzWFtbA0irGrFx40aF/by9vcVrlZ6Tndzd3SGRSJQ+PDy+rFv18PAQX7eysko3Vrdu3QAAMTEx2Lt3r9z5QkNDcfLkSQBpfxtkb2QB0la2S1ep79q1S+H77+npKba7d++uziXnCVWqVBFX3+/YsQMvXrzI0flkf9uyNyHJevToEdq3b493795BV1cXe/bsyfAZ/yjycyJdWgPiiUQiUfZXXLauRE2FveSrB0D/v/ZFQRBKC4LgAeA9gBAAzwF8EAThsCAIzdQcWyQIgpmyB4Cc/TciIiIiIiIiIiIiou+ck5MTgLTE2AA3FzFBNsD+25Z1zynPnz/HypUrxeft27bSaJxnT57gYiYrpT98+IC+ffuKK0379eont5+7uzsWLVoEAGjWrBl8fHzEPaWzU5kyZdC1a9qatwMHDmDXrl0Z+nz8+FFMNivTsmVLAICPjw+Cg4MzHA8KCsLUqVM1jtXIyAhubm4AgOvXr+N///ufwrL7SUlJmZZgB9LKQa9evRpDhgwBAGzbtg3Ozs5yk+nSuV+9eoXx48fLHW/8+PF49eqVwvlMTU0xaNAgAMDt27fh5uamNJkeEREh3kyhjlat0r7Dly9fxvnz5zMcf/36NUaNGqX2uOqoWrWq2FZ0k8bkyZNx48YNjefo3r07ypYtCwD4559/cPv27Qx9Xr58iXHjxgEAChUqJL7/edXQoUNRtGhRAMCkSZMQHR2d7nhKSgp+++038UYS6bV9Tfr627dvMWHChAzHg4ODMXv2bABA5cqVv8tEOgD8+eefANJuYunRo4fSrRUSEhKwcuXKDDfCbN++PdObSnbt2iVuq1G0aFF06dIlQ58XL17A2toa4eHh0NbWxrZt22Bra6vuJX038uUe6YIg6AOQbjQSqqyvRCJ5JwhCHAADAIo3TpGvlkxbH8BdmXllX+8IwEYQhLESiWSxmnMAwEsNziEiIiIiIiIiIiKi/3Tp0gVGRkZ4//497j9MW19VpHBhdO7QLpcjU93Xq6lTU1MRHR2Ns2fPYunSpWKyyqFnF9S1qCVviExFvHkDp+7dUKNOHfTu2ROWlpYoXbo0dHR08ObNG5w/fx4bNmwQ93OuXaM2xo/MmJBdtmwZpk+fDiAt8Tpv3jw8e/ZM6dzVq1fXeLX6ggULcOLECcTGxqJfv34ICAhAr169UKRIEdy5cwdz5szBo0eP0LBhQ6UrnH/77TccOHAAnz59gpWVFdzd3dGgQQN8/PgRJ0+exJIlS1CyZEno6OgoTXYpM2PGDJw4cQJ3797F8uXLcfHiRbi5ucHCwgJ6enoIDQ3FuXPnsG3bNsycORPOzs6ZjikIAtatW4fU1FR4eHhgy5Yt0NHRwYYNGyAIgthvxIgR8PDwQGBgIJYvX46nT5/Czc0NZmZmCA0Nxdq1a+Hr64vGjRvjypUr4thfW7BgAS5cuIDAwEBs3LgRly5dgqurKywtLWFoaIj379/j3r17OHnyJA4fPgwLCwsMHTpUrffJ1dUVK1euRHJyMjp37oypU6eiRYsWSExMxPnz57FgwQIkJyejatWqOVbe3cbGBiVLlkRERASmTJmC58+fo0uXLihevDiePHmCdevW4dSpU2jevLncZL8qdHV1sXbtWnTu3BmxsbFo0aIFxo8fj7Zt20JHRwcXLlzAnDlzxJsq5s+fj+LFv05F5S3FihXD3Llz8euvv+L58+do0qQJpkyZAgsLC7x69QqLFy+Gn58fAKBv375o3bq13HGcnJywceNGnD9/HitWrMCbN2/g4uICY2NjXLlyBTNmzEBMTAy0tLSwbNkycQuP703fvn1x7NgxbNq0CdevX0etWrXg5uaGVq1aoUSJEoiLi0NwcDDOnj2LvXv34u3bt3B0dEw3xpo1a+Dq6opu3bqhZcuWqF69OooWLYq4uDg8fPgQ3t7eOHz4MIC03/SSJUtQrFixdGNER0fD2toaL1+mpSXHjh2LGjVqZFrJw9TUNJvfkW/n+/zGZJ1s/YePKvSXJtIVbwYgn+w3bBqAAgAOAXAHEAigKICeAOYAKAJgoSAIDyUSyRE15yEiIiIiIiIiIiKiLNDX14e9vT3WrVsnvtazc0cULKiv5Ky8RVEZXlk9utli+eJ/sjzXg8BATFeSPAEAOzs7rJmzBgaFDDIc27Nnj9gOCwtLt9+xIs+ePYO5ubnasQKAubk5Dhw4gC5duiA2NhYrV65Mt0IfAKZNmwZAealwGxsbjBo1CkuXLkVoaGiG5G+5cuXg4+OTpRWahQoVwunTp9GzZ0+cOXMG169fV2m1fGYEQcD69euRkpKCzZs3w8PDA9ra2li7dq2YDNfT04Ovry/atGmD4OBgHD58WEyuSbVv3x6jR49Gx44dAaT9dr5maGiIgIAA9O/fH0ePHsX9+/fxv//9T2FsRYoUUft6ateujXnz5mHMmDF49+4dRo8ene64sbEx9u/fj6lTp+ZYIt3AwACbN29Gt27d8PnzZ7nfKysrKyxfvjxL+5bb2dnBw8MDbm5u+PjxI6ZNmyZ+X6W0tbUxY8YMDBs2TON5viU3Nze8evUKM2bMQHBwMAYPHpyhj62trdJy9tra2ti/fz9sbW1x9epV7NmzJ93fFiDtO718+XLx+/q92rBhA0qVKoUFCxYgKioKs2bNwqxZs+T2NTAwELezkPXx40ds3boVW7duVTiPsbExli1bhv79+2c4dvfu3XS/pXnz5mHevHlK43ZyckpXXv97k18T6bJ/1RNV6J/w3z8LqjmP7L8dFABwEEA3iUQirZcSAWCVIAh3kbYXuxaAeYIgHJUoqtUiX2Yr5UsDuJpJHyL6ToQvPSe2S43K/D8wiIiIiIiIiOjHZWqXILarGpvlYiRAUsSX0ry6JU3Edkzkl//TvUiJL2WQw94+EtumxarlcHSqcXJySpdI7+/wfZd1FwQBhoaGKFeuHJo2bQpHR0fUr1kmS2P+1KQJvA4ewsWzZxB0/TpevHiB8PBwxMfHo0iRIqhYsSKaNGmCfv36oXnz5kh8o8r/Bf9tWFlZ4d69e5g9ezYOHz6M169fw9jYGA0bNsTIkSNhY2MDd3f3TMdZsmQJfv75Z6xevRq3bt1CUlISypcvj+7du2PcuHEwMTHJdIzMFC9eHAEBAdi3bx+2bduGS5cuITIyEoUKFYKpqSnq1asHBwcHdOjQQa1xtbS04OHhgZSUFHh5eWH9+vXQ1tbGqlWrxGR6+fLlcfv2bSxYsAC7d+9GcHAwChQogBo1asDR0RFubm44cOCAOKa0RPfXihUrhiNHjuD06dPYunUrzp07h9evX+Pz588oUqQIKleujMaNG8POzg7t27fX6H0aPXo0atWqhUWLFuHKlSuIj49H2bJlYWtriwkTJqB8+fIajasOGxsbXLt2DXPmzMHp06cRGRkJIyMj1KpVC/3798eQIUOyZV9rJycntGrVCosXL8bx48fx4sULpKamomzZsmjTpg1Gjhyp0s00ecn06dNhY2ODFStW4OzZswgPD4eRkRHq1auHQYMGoW/fvpmOUbx4cVy4cAHr1q3Dtm3bEBQUhLi4OJQtWxZt27bF77//jtq1a3+Dq8lZ2tramDt3LoYMGYK1a9fi9OnTCAkJQUxMDAoVKoTy5cujfv36aN++Pbp3746CBdOnNL28vHDy5En4+fnhzp07CA8PR2RkJPT09FC8eHFYWFigQ4cO6NevH4yNjXPpKvOe/JpIl90YQE+F/tJNWT5lYR4AGC+TRBdJJJJzgiDsBdALQJ3/HndVnUQikSgtTy+vrAoRERERERERERERpde8eXMkhkeJzyWIVem80OiHAIB4oZBK/b0OHlU/OAX8/f3V6i97Y4MmdHV10ahZMzRq1gxVi2mebFE37uxSrly5DCuGNdG3b1+lSb6QkBCFx6ysrBTue/617t27q7Wvs7Ozc6al3rW0tDJdlWpgYICpU6cq3O9dWspZR0cn0yoBbdq0QZs2bZT2kcfd3V2lGxtsbGxgY2Oj8HhWv2uqfF61a9fGli1bFB43NzdXOoaq12pubo7Fixdn2k8eVb9zWXm/VPn+fa1Zs2Zo1qyZxnMCad/DYcOGabQaX9X33tPTU6WV1Tn9t61atWqYP3++2ueZmprCyckJTk5OGs+tzt+uH4VWbgeQS2T/7UeVcu3SleWqlIFXNM8ziUTyUEnfYzLtRmrOQ0RERERERERERERElOMkEgl27twJAKhfv77c0u5ERD+CfLkiXSKRfBYEIQpAcQBK6x0JgmCML4n0l2pOJdtf6arxr/qWVHMeojwnctWXuxlLDBuQi5F8wZLoRERERERERERERMqFhITAzMwMOjryU0hTp04VV6RnZXUrEVFely8T6f8JAvALgCqCIOhIJJJkBf1qfHWOOu7JtLUz6St7XFEslMe9nvdabGvxJjwiIiIiIiIiIiIi+s54enrCw8ND3Oe+bNmySEpKQlBQEDZt2iSWrq5VqxZcXFxyN1giohyUnxPp55CWSDcAYAngsoJ+rWTa59WZQCKRPBcE4QWA8gAqZ9Jd9niYOvMQERERERERERERERFllxcvXmDOnDkKj9eoUQO+vr4oUKDAN4yK6PuTlJSEhw+V7fysWMWKFWFgYJB5R8ox+TmRvh/A5P/agyAnkS4IghYAx/+evgfgp8E8ewCMBlBKEIRmEonkgoJ+PWTaZzWYh4iIiIiU6Oy9T2zrCaa5GAkRERERERFR3jVkyBAULVoUx44dw5MnTxAZGYlPnz6hWLFiqFevHrp3747BgwdDT08vt0MlyvPCwsJgYWGh0bl+fn6wsrLK3oBILfk2kS6RSK4IgnAWaavShwiCsEkikVz8qttYADX/ay+RSCRJsgcFQXAG4PHf0+kSicRdzlSLAQwDoA9gqSAIrSQSSdxX4wwAYPXfU1+JRJLZfupERERERJQH9dxzRWw31yqfi5EQEREREZEm3N3d4e7untth5Kpy5cph9OjRGD16dG6HQkSUq/JtIv0/vyOtXHtBAMcFQfgHaavOCwLoA8D1v36PACzQZAKJRPJCEISpAOYhrYT8FUEQ5gEIBFAUaSvRf/2vewzSVq8TEeWqKbs7pHs+y/5oLkVCRERERERERERERPR9Mjc3h0Qiye0wSEP5OpEukUhuCoLQG8BWAEUA/COn2yMAdhKJJDYL8/wrCEIxABMB1ALgKadbBIBuEonksabzEBERERERERERERERERFR1mnldgC5TSKRHARQF8AipCXN45G2H/o1pCW+G0gkkifZMM9kAM0BbAEQAiABwAcAVwH8BaCanNLyRERERERERERERERERET0jeXrFelSEonkOYAx/z3UOc8T8leXK+p/EQCT5UREREREP5DO3vvEtp5gmouREBERERERERFRdsn3K9KJiIiIiIiIiIiIiIiIiIhkMZFOREREREREREREREREREQkg4l0IiIiIiIiIiIiIiIiIiIiGdwjnYiIiIiIiIiIiIiI0nn8LlRsVzU2y8VIiIiIcgcT6UREREREREREREREaoiKevTlSQ7VfU18kyi2BSFn5iAiIiLFmEgnIiIiIiIiIiIihabs7iC2Z9kfzcVIiIiIiIi+He6RTkREREREREREREREREREJIOJdCIiIiIiIiIiIiIiIiIiIhks7U75nu3+P9I9P9ztn1yKhIiIiIiIiIiIiIiIiIjyAq5IJyIiIiIiIiIiIiIiIiIiksFEOhERERERERERERFlq8SIEPGRH5iZVIeZSXUsnbMwt0MhOZydnSEIAszNzXNsDnNzcwiCAGdn5xybg4iIvi2WdiciIiIiIiIiIiL6Thmu0xbbr/E6FyP5WgG57TiZGLVQWGzLi73MhDI5EpmbmxvWrl0LADh9+jRat26t8rn+Zy6gay9nAMDgwf0xd+5UhX2rFSuXpTgB4OGVhzAvZ660j5WVFQICAuQe09HRgZGREWrVqgU7Ozu4uLhAW25P9aSmpuLpo0c4/+ghrly5gqtXr+LOnTtITEwEAPj5+cHKykqtMZOSkuDl5YXdu3fj7t27CA8PR+HChVGmTBk0adIENjY2sLe3z4boSZ7U1FQ0b94cly5dEl+TSCSZnpecnIwNGzbAy8sLQUFB+PjxI0xNTWFtbY1Ro0ahVq1aKs3/4sULLF26FL6+vnjx4gUKFCiAKlWqwMHBAb/99hsKFSqk8bX9KJ4/f47jx4/jypUruH37NsLDwxEZGQmJRILixYujQYMGsLe3R58+faCrq6twnMjISBw6dAh+fn64ceMGnj9/joSEBBQrVgz169dH9+7d4ejoiIIFC37DqyPKm5hIJyIiIiKifCl0+eAvT/RzLw4iIiIi+rYcHR3FRPqWLVvUSqTv8j4gth0cumZ7bNktOTkZUVFROHPmDM6cOYOFCxfCy2MZGjWsn6Vx9+/ciUkjhmdPkADu3LmD/v37IzAwMN3r0dHRiI6ORmBgILy9vZlIz0ErV65Ml0RXRXR0NOzs7HD58uV0rwcHByM4OBienp5YuXIlBg8erGCENL6+vujfvz8+fPggvhYfH4+rV6/i6tWrWL9+PQ4fPoxKlSqpFd+PZt26dZg1a5bcY6GhoQgNDcXBgwfx77//wsfHBxUrVpQ7xrBhw5CSkpLhWHh4OI4dO4Zjx45hwYIF8Pb2Rt26dbP9Ooi+J0ykExEREREREREREVG+0bx5c1SuXBnBwcHw9vbGihUrVFp5+enTZxw4dAwAUKVKRVha1hOPhUY/BADEC19WzR46dwKAnvi8QtFiYrufoxPu3rwBAPA7d0N8vXjRL6tIk6KSYFraVK1ru3v3brrniYmJePr0KbZs2YIDBw4gPDwc9v1dcf3CUZiYFFMwigpkVirr6uqiTp06SE5OzjC/Ku7cuYPWrVvj7du30NPTw6BBg9CxY0eYmZnh/fv3eP78OU6dOoWzZ89qHu83EBISktshaCwsLAxTpkyBIAgwMTFBVFRUpuekpKSgR48eYhK9R48ecHFxQbFixXD58mXMnDkTERERcHV1hampKWxsbOSOc/v2bTg4OCA+Ph6GhoaYPHkyWrdujU+fPmHHjh1Yt24dHj58CDs7O1y9ehWGhobZeu3fEy0tLdSrVw8tWrRA/fr1UaZMGZQqVQqxsbEIDg6Gh4cHLly4gLt376Jdu3a4c+dOhpX84eHhSElJgZ6eHjp16oT27dujZs2aKFy4MIKDg7Fu3TocP34cjx8/hrW1NW7cuAEzM7NcumKi3MdEOhERERERERERERHlK46Ojpg2bRpiY2Ph4+ODPn36ZHqO75GTiP0YBwCwt898NXq1WjUgW9a+qnEJsV1QJrlVo1YdsV3a+EsiPfFNYqZzfK1OnToZXvvpp5/Qq1cvODk5YfPmzXj37j02e3lj9ChXtceXqly9Ov78ZzbsWluhfv360NfXh7u7u9qJ9M+fP8Pe3h5v375FmTJlcPz4cbnXMHjwYLFsPGW/ESNGICYmBoMHD0ZwcLDCrQJkbdmyBWfOnAEA/Pbbb1ixYoV4rHHjxujYsSMsLS0RExODkSNH4v79+9DRyZiS+t///of4+Hjo6Ojg+PHjaNq0qXisTZs2qFq1KiZMmIAHDx5g4cKFmDpV8XYKP7qpU6fi77//lnusdevWGDp0KP73v/9hyZIlCA4OxoYNGzBy5Mh0/QwMDDBx4kSMHTsWJUqUSHesQYMG6NWrF8aOHYuFCxciMjIS06ZNw4YNG3LsmojyOq3cDoCIiIiIiIiIiIiI6FsaOHAgBEEAkJYQVMWO3fsBAIIgwN6+S06FlmMmTJggtq/duJ2lsepZWsLRzQ0///wz9PU13ydp/vz5ePToEQBg27ZtcpPoUnp6egqPkeb27t2L/fv3o3jx4pg3b57K5/37778AAGNjY7Etq0qVKpg8eTIA4PHjx/Dx8cnQ5+rVq/D39wcADBkyJF0SXWrs2LGoWbMmAGDx4sVISkpSOcYfjbwbEb4mfc8BiDc6yBo9ejTmzJmTIYkua/bs2ShTpgyAtO+HRKYCBVF+w0Q6EREREREREREREeUrFStWRIsWLQAAx48fR0REhNL+4RGR8Au4AABo0awxypVLX3LdzKQ6zEyqY+mchTkTcDYwNzcX2wkJCbkXyH9SUlKwevVqAICVlRWsrKxyLZa4uDjs3LkTQ4cORf369VG0aFHo6uqiRIkSaNWqFebPn4+PHz8qHcPc3ByCIMDZ2Vlpv4MHD6JXr14wMzNDgQIFYGJigqZNm2LOnDlK5/D09IQgCBAEASEhIUhNTcXatWvRrFkzGBsbw8DAAHXr1sWsWbMQHx+v0nXHxMRg1KhRANIS4yYmJiqd9/jxY9y/fx8A0Lt37wzlw6Vk34u9e/dmOL5//36xPWjQILljaGlpwdHREQDw7t07MfEu6+v3/saNG+jfvz/KlSuHggULokqVKhgzZkyGkvUXLlyAvb09ypcvD319fVSuXBkTJ05EbGysokvPsuTkZGzYsAG2trYoW7YsChQogOLFi6Nly5ZYvHgxPn/+nKXxDQwMxLamY+np6aF58+YAgPfv3yM6OjpLMRF9z1janYiIiIiIiIiIiIjyHUdHR5w9exbJycnYvn07fv/9d4V9d+47iOTkZABAH4du3yjC7CW7h7eZadncC+Q/Fy5cQFhYGADA3t5efD0+Ph6vXr2CgYEBSpUqBS2tnF8PaGdnJ7eceVRUFM6cOYMzZ85g5cqVOHz4MGrUqKHRHJ8/f0a/fv2wb9++dK+/ffsWly5dwqVLl7Bs2TL4+vqifv36SseKi4tDu3btcPr06XSv3717F3fv3sWBAwdw+vTpdElVeSZNmoSwsDC0bNky0xsAZMnuV9+qVSuF/UqXLo1q1arh0aNHOHfunMJxDAwMYGlpqXAc2TnOnTuHdu3aKey7ZcsWDB06NN1WAMHBwVi0aBF8fX0REBCA0qVLY/78+ZgwYUK61dZPnz7FvHnzcPLkSQQEBGT7fuzBwcHo0qWLeBOCVHR0NM6ePYuzZ89i5cqV8PX1RdWqVTWaY/v27WJb0+8qkP5mm2/xGyTKq/jtJyIiIiIiIiIiIqJ8x8HBAQULFgSQeXn3bd5pyc9ChQqia2ebHI8tJ8yfP19s23Zok4uRpLl06ZLYbtq0Ka5cuQIbGxsULlwYVatWRdmyZVGiRAkMHToUz58/z9FYkpOTYWFhgSlTpmDfvn24fPkyLl26hJ07d6JPnz7Q0tLCs2fP0K1bN41X+To5OYlJ9Hr16mHz5s24evUqjh07hkGDBkEQBLx69Qpt27YVbzBQxNXVFf7+/nBycoKvry+uX7+Offv2iaXRr1y5gpkzZyod4+LFi1izZg10dXWxatUqta4lKChIbGeWrJUef/nyJeLi4uSOU6VKFaVly2XnkJ37a7dv38bQoUNRpUoVbNy4EVevXsXp06cxYMAAAMCjR48wbtw47Nu3D+PHj0eTJk3g5eWFa9eu4ejRo7C1tQWQtqI9s/dPXa9fv0bz5s1x//59FC5cGGPHjsWRI0dw48YN+Pn5YfLkyShUqBAeP36MDh064MOHDyqP/e7dO9y8eRNjxozB8OHDAaStKv/11181ijUpKQkXL14EAJQsWRLFihXTaByiHwFXpBMRERERERERERFRvlOkSBF07doVO3bswPXr1xEUFCTuxSwr6OFj3LwTCACw62CNwoaGSETe3DM4MDAw3fPExESEhIRg69atYhK3a+cOaG9tlQvRpSe7KvfSpUsYNWqUuOpf6u3bt9iwYQP27NkDHx8ftGzZMkdi8fDwkLsCuEmTJnBwcMCQIUNgY2ODhw8fwsvLC0OGDFFrfF9fX+zatQsA0LZtWxw+fDjdnu/t27dH06ZN4erqirdv32LMmDHYuXOnwvEuXLiALVu2iAliAPjpp5/QsWNHNGzYEIGBgVi3bh1mzJghN0GdlJQEV1dXpKamYuLEiahVq5Za1/Py5UuxbWZmprRvuXLlAAASiQShoaGoXr06gLQV+tJS65mNIS1dHxcXl27ur926dQvNmjXDiRMn0pWbb926NRISErB7927s2LEDR44cQc+ePbFz505oa2uL/aytrdGiRQtcunQJ69evx8yZM1Xal1wVrq6uCA8PR7ly5eDv749KlSqlO25lZQV7e3v88ssvePr0KebPn48ZM2YoHM/Z2RmbNm2Se6xgwYLYtGkTKleurFGsa9euFT8b2WoRRPkRV6QTfcVuzzrxQUSaWbjvjfggIiIiIiIiIsqrpHsvA4pXpXvt/lKKO6+XdbewsEj3sLS0RM+ePbFv3z5Uq1YN69evh+e6xbkdJoC0JLnU6NGjkZKSggkTJiA4OBgJCQl48uQJxo0bB0EQ8P79e/To0SPTldqayqyMtrW1Nbp06QIg/b7eqlqxYgUAQFdXFx4eHumS6FIuLi6wtrYGkLaf+OvXrxWO16NHj3RJdKkCBQpgxIgRANLKhX9dQlxq7ty5CAwMRMWKFfHXX3+pfT2ye4hnVv5ctry87B7w6owhO05me9WvX79e7p7tv/32GwAgJSUFnz9/xtq1a9Ml0QFAW1sbrq6uAJS/f+oKDAzEoUOHAADLly/PkESXatCggbiifOPGjRrN1bt3bwQFBWmcAH/69CmmTJkCIO1z+eOPPzQah+hHwUQ6EREREVEOiVy1VXwQEREREVHe0759e5QpUwYA4OXllW6/ZCBtFe2OvT4AgNKlSqJ1q2bfPMbs8ujRI2zcuBGXr9zI7VAAIF2Z74SEBMybNw9z585FpUqVoKenh8qVK+Pff//FrFmzAKQlNmfPnv1NYouMjMTjx48RGBgoPkqUKAEgrXy4OpKTk8X919u1ayeu0JbHxcVFPMff319hv/79+ys8JrvX+NOnTzMcf/z4sfieLl++XNzeQB2y5e3l3RQgq0CBAmL706dPGo0hO47sGF+rV6+e3KoSAFC3bl2x3a5dO4XlyuvVqye25b1/mvDxSfsbUqhQIdjZ2SntK6268OrVK6Wr72fNmoW7d+/i7t27OH/+PFatWoWffvoJO3fuxIABA/D48WO144yPj0ePHj3EsvLLli1D2bJl1R6H6EfC0u5EREREMkKXD/7yRD/34iAiIiIiIqKcp62tjX79+mHBggV48eIFAgIC0LyWhXg84PwlvAx7BQDo1aNThhWsOSUpKQn3HtyTeSVRbOlGGqB69erQ1dXNcN7XNwKkpqYiKioK586dw99//40LFy6gq/01bFi9EJ3t2qfr+3VZ+OcfvlQaLFvfON3K4uygr//lP7rNzMwwevRouf3Gjx+PZcuW4fXr19ixYweWLVsGQRCyNRYAOH/+PJYuXYqTJ0+mWy3/NWnJa1U9ffoU8fHxANJKxSsje/zrz0OWsn3JZRPEsqu+pdzc3PD582f07NlT3BNcXbKfXWJiYrrnX0tISBDbskn7r8fIjHQcZYn/atWqKTxmZGSkdj95758mrl27BiAtUa1Oqfg3b94ovPHC1NQUpqam4vNmzZrBxcUFw4cPx5o1a9CkSRP4+fmluzFAmeTkZNjb24s3iri5ucHZ2VnlWIl+VEykExEREREREREREVG+5eTkhAULFgBIK+/efPY88dg2mbLufb9hWfewsDD81PonhcefPXsGc3PzTMfR0tJCyZIl0aNHD7Rv3x6WlpZ49OgRfhs1CS2aN4GxUVGxr4WFhcJx/Pz8YGVlpc4lZKpw4cJiu127dgpvUtDR0UGbNm3g5eWF6OhoPHv2TGFpbE25u7tj+vTpKvVVtiJaHtmkfKlSpZT2LV26tNzzviavdLmUltaXQsQpKSnpjm3cuBF+fn4oXLgwlixZojQWZWQ/u48fPypNpMtWHpAt4f71GJmRjqOsDLyq74um75+mIiIiNDpPegOGqrS1tbF06VIcPnwYL1++xLBhw3DhwoVMz5NIJHB2dsbhw4cBpO2LvnLlSo1iJvrRMJFORERERERERERERPmWhYUF6tWrh9u3b8Pb2xuLpk5HwYIF8enTJ+zzPQoAqFu7JurUVrwK+HtgaGiIYcOGYfTo0YiJ/Qifg0fhPLB3rsUju9LWzMxM5b4RERHZmkg/deqUmESvVKkSxo0bhxYtWqB8+fIwNDQUE/xTp07FjBkzsjRXTqykV8fcuXMBAK1atcLZs2fl9pFN+u7YsQNA2v7knTt3Fl+X/bxCQ0NRvHhxhXNKy5MLgpDuPH19fRQvXhxRUVEIDQ1VGve7d+/ERLqy0vh5lTQhX7FiRRw4cEDl8ypWrKj2XHp6eujQoQPWrVuHixcv4tWrV5mWZx8+fDi8vLwAAB07doSXl1e6GwqI8jMm0omIiIiIiIiIiIgoX3NycsKYMWMQExODg8eOwqFbdxw4egQx/5V27u/Q45vGY25ujoTXX0piC8KXtm6pwvJOUYlsSfD7QY/SHfu6LPzjd1+Sm1WNlSe6NVG7dm2xndnKX9nj6pTGVsW6desApJX0vnjxIkqWLCm337t37zQaX7bU+ps3b5T0TH9c0R7eWSEtj37o0CEcOnQo0/59+/YFAFSoUCFdIr1WrVpi+8GDB6hfv77CMR48eAAgLQH+9fYANWvWxNmzZ/HkyRMkJycr/GylY0jP+d6YmJgAAMLDw1GjRo1s/w5/rUSJEmL7+fPnShPpEydOxKpVqwCk7c++Z88eudtGEOVXvKWEiIiIiIhIBbb7/xAfRERERPRj6devn5jc2rZ7V9o/vdP+qa2tjT49uuZabNkpOTlZbCclJSvpmfNatmwptoODg5X2lT0uuy90drh3L20v+jZt2ihMogNf9rlWV6VKlcRS4pcvX1ba98qVK2K7Tp06Gs33LbRo0UJsBwQEKOz35s0bPHqUdsNG8+bNFY4TFxeH69evKxxHdg554+R1DRo0AJBWqv38+fM5Pl9YWJjYVlYKf+bMmZg3L20ri0aNGuHQoUNK96Anyo+YSCciIiIiIiIiIiKifK1UqVJo3749AOC4vx8Cg4Jwwt8fAGBt9QtKlyyh5Ozvx9WrV8W2qWlpJT1zXsWKFcUE47FjxxTuBx0bG4sTJ04AACpXrowyZcpkaxzSmwuU7Ud969YtXLp0SaPxdXR00KpVKwDAiRMnxFLn8qxfvx5A2s0b2b0nPQCEhIRAIpEofUhjBSC+FhISkm6catWqiSvDd+3apfC98/T0FNvdu3fPcLxbt25i28PDQ+4Yqamp2Lx5M4C0qgGtW7dW5VLzlK5dv9yII01c55S4uDgcOXIEAFCwYEFUrlxZbr8lS5bgr7/+ApC2vcXRo0fT7VtPRGmYSCciIiIiIiIiIiKifM/JyQlAWmJ1gJuLmGAdYP9ty7rnlOfPn2PlypXi8/ZtWynp/W1MmjQJAPD+/XuMHTtWbp/Ro0cj9r8S+7/++mu2x1C1alUAwLlz5/D06dMMxyMjIzFgwIAszTF8+HAAQFJSEgYPHozExMQMfTZu3Ijjx48DAHr27JntNwxkt3HjxgEA3r59iwkTJmQ4HhwcjNmzZwNIuwFCXiK9cePG+OWXXwAAGzZswMWLFzP0WbBgAYKCggAAv//++3dZdrxRo0bijTqHDx/GtGnTlPYPCQnB9u3b070WFRWFPXv2KD3v8+fPGDx4sLjPfc+ePcVqCLI8PDwwevRoAGk3RZw4cSJHthIg+hFwj3QiIiIiIqJcFL70nNguNaqFkp5ERERElJO6dOkCIyMjvH//Hvcfpu3JXKRwYXTu0C6XI1NdYGBguuepqamIjo7G2bNnsXTpUkRHRwMAHHp2QV2LWvKGUNnebdtQyvDLnte3bt0S20ePHhVXMSd/SEZl88po3iRjSW4HBwds2rQJhw8fxurVq/Hy5Uu4urqiXLlyePHiBVavXo2jR48CSCuPPWLEiCzFLI+joyMOHjyIjx8/olWrVpg4cSIsLS0hkUhw4cIFLFy4EG/evEHTpk3lJnpVYWdnB3t7e+zevRsnT55EkyZNMHbsWNSsWRPv3r3Djh07sHHjRgBpe6MvXLgwOy8xRzg5OWHjxo04f/48VqxYgTdv3sDFxQXGxsa4cuUKZsyYgZiYGGhpaWHZsmUK9wVfsmQJmjdvjk+fPqF9+/b4448/0Lp1a3z69Ak7duzA2rVrAaQlfBXdbPE98PDwQMOGDfH69Wv8/fffOHbsGAYPHgwLCwvo6+sjOjoad+7cwdGjR3H69Gl069ZN3KMeAD5+/IhevXqhSpUq6NmzJxo3bgxTU1MUKFAAUVFRuHLlCjZs2CDeDGJqaoq5c+dmiGP//v1wcXGBRCJBkSJFsGTJEkRGRiIyMlJh7BUrVsywvz1RfsFEOhERERERERERERHle/r6+rC3t8e6devE13p27oiCBfVzMSr1WFhYZNqnRzdbLF/8T5bnmjRScVL76wTeQIeBchPpALBz50707NkTx48fh6+vL3x9fTP0adSoEQ4cOAB9/ez/LHr16oVBgwbBw8MDoaGhGDlyZLrj2traWLRoEd69e6dxIh0ANm/ejOTkZOzbtw+3bt3CwIEDM/QpW7YsfH19s30f+Jygra2N/fv3w9bWFlevXsWePXsyrJjW09PD8uXL0bFjR4XjNGjQADt37sSAAQMQExODP/74I0OfatWqwdfX97suPV62bFlcvHgR9vb2uHr1Ki5fvozLly8r7F+kSBG5rz958kRuglxW06ZNsXXrVpQtWzbDsf379yMlJQUAEBMTo/SzkfLz88uRrQaIvgdMpBMRERERERERERF9pz66pIjtqsZmuRgJkBQRLbYliBXbn4UksV2kRFWxHfb2kdg2LVYth6NTjZOTU7pEen+H77usuyAIMDQ0RLly5dC0aVM4Ojqifs28VTLc0NAQx44dw44dO7Bp0ybcunUL0dHRMDIyQv369dG3b184OjpCW1s7x2LYuHEj2rRpg7Vr1+LWrVtITExE6dKl0bJlS4wYMQKNGzeGu7t7lubQ19fH3r17cfDgQXh6euLSpUuIioqCgYEBqlWrhm7dumHEiBEwNDTMnov6BooXL44LFy5g3bp12LZtG4KCghAXF4eyZcuibdu2+P3331G7du1Mx+ncuTPu3LmDJUuWwNfXF6GhodDT00OVKlVgb2+PESNGyC1R/r2pUKECLl++DB8fH+zcuROXL19GeHg4kpKSYGRkhKpVq6Jp06bo0qWLWPJeqnz58rh8+TL8/PwQEBCAZ8+eITw8HLGxsTA0NET58uXRsGFD2Nvbw8bGBoIg5NJVEv1YmEgnIiIiIsojpuzuILZn2R/NxUiIiIiIsqbnnitie0/PxrkYCZF6mjdvjsTwKPG57A0ByoRGPwQAxAuqJfu8Dmbfv+/7+/ur1T8m8nG2zPso+i2qFjPOtF/im4z7gcvTp08f9OnTJ6thyeXp6QlPT0+lfQYMGKB0L3R3d3elyXRpKfvMdO7cGZ07d1apryxnZ2c4Oztn2s/c3BwSiUTt8aXU/T7p6Ohg2LBhGDZsmMZzAmlJ5oULF2pU1l7V916V9yWr719mBEFAt27d0K1bN7XO09LSQuPGjdG4cWNMnDhR4/lV+S0Q0RdauR0AERERERERERERERERERFRXsIV6URKdPbeJ7b1hLy/Lw0RERERERERERERERERZR1XpBMREREREREREREREREREcnginQiIiIiIiIiIqIcZrv/D7F9uNs/uRgJERERqSMiIgIRERFqn6enp4dq1arlQERE9K0wkU5ERERERERERKSm0OWDxfZj/XCx3Xqob26EQ0RERDlk5cqVmD59utrnVahQASEhIdkfEBF9M0ykExEREREREREREdE3ERX16MsTbjxKREREeRj/VYWIiIiIiIiIiIiIiIhIDnd3d0gkErUfXI1O9P3jinQioizy3NT+y5NCvD+JiIiIiIiIiIiIiIjoe8dEOhERERHRN+a33k5scx9VIiIiIiIiIiKivIeJdCIiIiIiIiIiIiIiUtuTd3Fiu4qxQS5GQkRElP2YSCfKIv+tkWK7ei7GQURERERERERERERERETZg4l0IiIiIiIiIiIiFUSu2prbIRAR5Vlv3iWJ7dLGurkYCRERUfbQyu0AiIiIiIiIiIiIiIiIiIiI8hKuSCciIiL6BnruuSK2m2uVz8VIiIiIiIiIiIiIiCgzXJFOREREREREREREREREREQkgyvSiYiIiIiIvrHX816LbS39XAyEiIiIiIiIiIjkYiKdiIiIiIiIiIiIiCgPiI1OEtsFcjEOIiIiYiKdiIiIiIiIiIiIiIiyEW8IICKiH0GeT6QLglAPQFcAkEgkf+dyOESkgdDlg788YelSIiIiIiIiIiIiIiIiyuPyfCIdQH0A7gAkAJhIJyIiIiIiIiIiIiJSQ2JEyJcnQq6FQURE9F3Ryu0AiIiIiIiIiIiISDn/rZHig4jyHjOT6jAzqY6lcxbmdij0HysrKwiCACsrqxybQxAECIIAd3f3HJuDiIhyz/ewIp2IiIiIiIiIiIiI5CiyJURshyNEYb+8SPb/nA5HRIbjpUa1yJF53dzcsHbtWgDA6dOn0bp1a5XP9T9zAV17OQMABg/uj7lzpyrsW61YuSzFCQAPrzyEeTnzTPtZWVkhICAAACCRSLI8rzzJycm4e/cuDvn5487NG7h74waePHyIlJQUAMCVW49QrnzmsSqycuVKDB8+XHzu4eEBZ2fnLEZNysTHx6NOnTp49uwZAKBChQoICQlR6bwVK1Zg9+7dePLkCRITE1GuXDnY2dlh1KhRKF++vErz37t3D8uWLcPJkycRFhYGQ0ND1KxZE/3798eQIUOgo8MUVlBQEE6dOoWrV6/i7t27iIiIQFRUFLS1tVGqVCk0atQI/fr1Q5cuXSAIistNvHjxAr6+vvD398etW7cQGhqKlJQUFC9eHJaWlujTpw/s7e35nhN9Jcd+EYIgqPaXMnPFs2kcIiIiIiIiIiIiIsrnHB0dxUT6li1b1Eqk7/I+ILYdHLpme2x52axZs3Js5fWrV68wefLkHBmbFJs6daqYRFdVcHAw7Ozs8PDhw3SvP3jwAA8ePMD69euxbds22NraKh1nw4YNGD58OBISEsTXPn/+jLNnz+Ls2bPw9PTEoUOHYGJiolZ8P5pZs2bBy8tL7rFnz57h2bNn2LVrF1q1aoW9e/eiWLFiGfpNnToVM2fOlHuTTVhYGMLCwnDgwAEsXLgQe/bsUflGCKL8ICdvLQlB2r7mRERERERERERE9B+7PevEtm9Pl1yMhCh/at68OSpXrozg4GB4e3tjxYoVKFiwYKbnffr0GQcOHQMAVKlSEZaW9cRjodFpScV4oZD42qFzJwDoic8rFP2S4Orn6IS7N28AAPzO3RBfLyjz/6jrJQOmpU3Vu7gcJJuEK6Cvj5p16uBt9Fu8ePY0y2OPGDECMTExKFmyJCIiMlYnyKtyavX/t3Dz5k0sXrwY+vr60NXVRWxsbKbnfPz4EZ06dRKT6C4uLujTpw8KFiwIPz8/zJ49Gx8+fIC9vT0uXryIunXryh3n2LFjcHV1RWpqKkqVKoUpU6agSZMmePv2LdatW4e9e/fi0qVL6NGjB/z8/KCllX93KdbR0UGTJk3QvHlzWFhYoHTp0ihRogTevXuHBw8eYM2aNQgMDERAQAA6d+6Ms2fPZni/Xr16BYlEAgMDA3Tv3h1t27ZF1apVoa+vj6CgICxduhRXr17FtWvXYG1tjRs3bsDQ0DCXrpgob8npGg2K60gQEREREREREREREeUCR0dHTJs2DbGxsfDx8UGfPn0yPcf3yEnEfowDANjbZ74avVqtGgAKiM+rGpcQ2wULfUm416hVR2wbpH45v0BS3krSNm3aFKtXr0apatVRvXZt6OjoYOKIkVlOpPv4+GDfvn0oUaIEJk6ciLFjx2ZTxKRISkoKXFxckJKSgmnTpmHDhg0qJdLnz5+PBw8eAADmzZuH8ePHi8eaNm2K1q1bo2XLloiPj8f//vc/nD59OsMYycnJGDFiBFJTU1GkSBGcP38elStXFo936NABw4cPx8qVK3HmzBls3boVjo6O2XDV36f169crLLdubW2NYcOGwcHBAXv37sWFCxfg6+uLzp07p+tnYmKCuXPnYtiwYShcuHC6Y5aWlujbty/69euHXbt24fHjx1i0aBH++uuvHLsmou9JTt7Gk4K0FelPAGzKwuN8DsZIRETZpOeeK+KDiIiIiIiIiCgvGzhwoLif8JYtW1Q6Z8fu/QAAQRBgb98lp0LLs2xsbODm5oba9epl2z7KsbGxGDFiBIC0JK28stSU/ZYsWYLr16+jevXqmDhxokrnJCUlYcmSJQCAmjVryr3hoWnTphgyZAgAwM/PD9evX8/QZ9++/7N352FyVXX+gD8nGyEsiuyyKG4Io6K4SxQYGUQiCrKMCwIiOC4jOIwwCqPDyE8ccWdQUNQEDKgDMSiLCCMEBBlAZFRGkEVFlhCCgEBYE87vj6pU34ROpzvp7up0v+/z9FPnVp177/f0Wl2fOufOzs0335wk+cQnPrFEiL7Y5z//+ayzzjqd9li2vJ+18ePH54gjjuhsX3rppU/p87nPfS5HHHHEU0L05jG+/vWvZ9Kk1goaZ5555kpUDKPLUAbpv2vfzq+1vndFP5J8awhrBOi32084sPMBAAAAwKpriy22yNSpU5MkF1xwwXKXE5939/xcfMkvkiRTX/eqbLbZkkuub7rultl03S1z/H98aZnHuOne+zoftHziE5/I7bffnh122GHYZx3fd999mT59evbdd99svfXWWXPNNTNp0qRstNFGedOb3pRvfvObefzxx/s8RiklpZQ+rx3/5JNPZubMmdl1112z0UYbZdKkSVl//fWz44475utf/3qf5zj66KM750ha1xD//Oc/n2233TZrrbVW1lprrbzqVa/KCSeckIULF/Zr3Lfeems+9alPJUlOPPHETni6PHPmzMn999+fJNl///2Xudz6AQcc0Gn/8Ic/fMrjZ511Vq99m6ZMmZJ99tknSXLdddflpptuekqfpT/3F198cXbfffc885nPzOqrr56tttoqxxxzTBYsWLDEfuedd1523XXXTr+tt946n/3sZ5f7tV4ZDz/8cL7yla9kxx13zIYbbphJkyZlgw02yM4775zp06dn0aJFK3X8NdZYo9N+9NFHV+gY6667bmcp/ltuuWWl6oHRZCiXdr8qyYuTvLSUMq7W+uTydgAAAMam5ooms/Z8VRcr6Z/mtW3HZb0uVgIAwIrab7/98vOf/zwLFy7M9773vRx66KHL7PuD2Wd3gsp37LP7MFU4ul155ZWdIPfEE08c9vO/7GUvy6233vqU++fNm5cLLrggF1xwQU466aScd9552WijjVboHPfee2/e+ta35vLLl1x495577smcOXMyZ86cnHDCCfnJT36SZz3rWX0ea968eXnTm96UX//610vcf/XVV+fqq6/OBRdckLPOOmu51xP/0Ic+lAULFuQ973lPdtxxx36P5ec//3mnvf322y+z3yte8YqsscYaWbBgQS677LJlHmfLLbfs8/O6/fbb5xvf+EaS5LLLLsvzn//8Zfb9j//4jxx55JFLXLP+hhtuyKc+9amcf/75+elPf5o11lgj//RP/9SZVb/Y9ddfnyOPPDKXXnppzjnnnIwfP36Z51kRV199dfbYY4/ccccdS9w/f/78XHjhhbnwwgtz0kkn5cc//nE23HDDFTrH9773vU77hS984QrX+thjjyXJmL4mPSxtKH8arm7fTk7ykiE8DzDK7HrWkZ0PAAAAABgK++yzT1ZfffUky1/e/fQzZydJpkxZPW/b7U1DXlu33HHvjZ2PofTEE0/k4IMPzpNPPpnDDz98pcK/FbVo0aK8+tWvzjHHHJNzzjknV199dS6//PLMnDkzu+yyS5Lk2muvzTve8Y4VPv5b3vKWToi+/fbb54wzzsgvf/nL/PjHP87uu++epBXkvvGNb8xDDz3U5/He/va35/rrr88hhxySCy+8MNdcc01OP/30bLXVVkmSs88+OyeffHKfx/j+97+f8847L+uss06+8IUvDGg8119/fafd19drwoQJneXam/skyUMPPZTbb799ucdY+vGlj9P0k5/8JJ/4xCfymte8Jqeffnp++ctf5vzzz8+b3/zmJMkvfvGL/Md//Ee+/OUv56tf/Wre/OY3Z9asWbnmmmvyox/9KK95zWuSJOeff/5yP38D9dvf/jY77rhj7rjjjmywwQb5t3/7t/z3f/93rr322vz0pz/Nhz/84UyYMCFXXXVV3va2t+WJJ57o97HvueeeXHHFFXnf+96Xz372s0las8rf/e53r1Ctd999d+fz3I2fRxiphnpG+mKvTPK/Q3guAAAAAADot7XXXjtve9vb8v3vfz/XXHNNrr/++k4o2XT972/Ktb+5LkkybZedstaaa+bx1Kf0o/8+//nP57e//W2e85zn5KijjupKDRdddFGvs5xf97rX5d3vfnemT5+eAw88MJdcckl+9rOf5Y1vfOOAjn/SSSfliiuuSNJa/WDGjBmdJdpf/vKXZ7fddstRRx2VY489NrfcckuOOeaYfO5zn1vm8RbPOt9hhx0692277bZ505velK233jrz5s3L17/+9fzDP/xDr/vfd999+ehHP5qkNYN7gw02GNB4brvttiStZcSf/vSn99l3s802y29+85vMnz8/jz32WFZbbbUkye23396ZNb7pppsu9xhLn7s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      "text/plain": [
       "<Figure size 2400x1600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,8))\n",
    "#order = df.sort_values(by=\"dataset_type\").dataset.unique()\n",
    "order = list(dataset_type.keys())\n",
    "ax = sns.barplot(\n",
    "    x=\"dataset\", y=\"acc1\", \n",
    "    data=df,\n",
    "    order=order,\n",
    "    hue=\"model_fullname\"\n",
    ")\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation = 90)\n",
    "ax"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02e6ee8f-d3a3-48da-8f6b-5e568c947796",
   "metadata": {},
   "source": [
    "# Zooming on a specific architecture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8ab3d735-f6ea-4c80-a076-19777dbc7573",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='dataset', ylabel='acc1'>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2400x1600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,8))\n",
    "order = list(dataset_type.keys())\n",
    "d = df[df.model_arch==\"ViT-B-32\"]\n",
    "ax = sns.barplot(\n",
    "    x=\"dataset\", y=\"acc1\", \n",
    "    data=d,\n",
    "    order=order,\n",
    "    hue=\"model_fullname\"\n",
    ")\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation = 90)\n",
    "ax"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9056c48c-4070-4501-a91a-da050f812217",
   "metadata": {},
   "source": [
    "# Accuracy averaged over all models for each dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "809fc438-1f91-4c73-bdc2-e72b72abc11b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='dataset', ylabel='acc1'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 2400x1600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,8))\n",
    "order = list(dataset_type.keys())\n",
    "ax = sns.barplot(\n",
    "    x=\"dataset\", y=\"acc1\", data=df,\n",
    "    order=order\n",
    ")\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation = 90)\n",
    "ax"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f582a8a-edf7-47fe-8a39-853dc2aa8ec5",
   "metadata": {},
   "source": [
    "# Average accuracy on each dataset type for each model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fa560e49-85d1-48c9-8cb8-93c75efde4ff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='dataset_type', ylabel='acc1'>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x1600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,8))\n",
    "order = list(dataset_type.keys())\n",
    "ax = sns.barplot(\n",
    "    x=\"dataset_type\", y=\"acc1\", \n",
    "    data=df,\n",
    "    hue=\"model_fullname\",\n",
    "    ci=None\n",
    ")\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation = 90)\n",
    "ax"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0cd85d6a-2b71-44e6-a4b6-96a58a9400b7",
   "metadata": {},
   "source": [
    "# Grouping over architecture for each dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "169f49c6-deec-4534-a120-635e7537f276",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='dataset', ylabel='acc1'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x1600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,8))\n",
    "order = list(dataset_type.keys())\n",
    "ax = sns.barplot(\n",
    "    x=\"dataset\", y=\"acc1\", \n",
    "    data=df,\n",
    "    order=order,\n",
    "    hue=\"model_arch\",\n",
    "    ci=None\n",
    ")\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation = 90)\n",
    "ax"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b397daeb-e12c-4bae-887a-8c4d7bfd7db7",
   "metadata": {},
   "source": [
    "# Grouping over pre-training data source"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c7c746f2-820c-4939-80dc-796efef941e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='dataset', ylabel='acc1'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2400x1600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,8))\n",
    "order = list(dataset_type.keys())\n",
    "d = df.copy()\n",
    "ax = sns.barplot(\n",
    "    x=\"dataset\", y=\"acc1\", \n",
    "    data=d,\n",
    "    order=order,\n",
    "    hue=\"pretrained\",\n",
    "    ci=None,\n",
    ")\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation = 90)\n",
    "ax"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b914d109-eec9-40f4-b0f8-23eb179dc49a",
   "metadata": {},
   "source": [
    "# Best results from each pre-training source"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c70befe3-0c72-4f6c-b57f-0d1a67ae2553",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='dataset', ylabel='acc1'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2400x1600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,8))\n",
    "order = list(dataset_type.keys())\n",
    "d = df.copy()\n",
    "ax = sns.barplot(\n",
    "    x=\"dataset\", y=\"acc1\", \n",
    "    data=d,\n",
    "    order=order,\n",
    "    hue=\"pretrained\",\n",
    "    estimator=np.max,\n",
    "    ci=None\n",
    ")\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation = 90)\n",
    "ax"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eea94f09-18c1-445b-a4e2-7418f25c816b",
   "metadata": {},
   "source": [
    "# Detailed results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ccba4abe-53bc-4092-b05b-dafc0eccb4c5",
   "metadata": {},
   "source": [
    "### All results (acc1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f03782e4-be8f-4e3b-a699-c516da5c62a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>model_fullname</th>\n",
       "      <th>ViT-B-16 laion400m_e32</th>\n",
       "      <th>ViT-B-16 openai</th>\n",
       "      <th>ViT-B-16-plus-240 laion400m_e32</th>\n",
       "      <th>ViT-B-32 laion2b_e16</th>\n",
       "      <th>ViT-B-32 laion2b_s34b_b79k</th>\n",
       "      <th>ViT-B-32 openai</th>\n",
       "      <th>ViT-B-32-quickgelu laion400m_e32</th>\n",
       "      <th>ViT-H-14 laion2b_s32b_b79k</th>\n",
       "      <th>ViT-L-14 laion2b_s32b_b82k</th>\n",
       "      <th>ViT-L-14 laion400m_e32</th>\n",
       "      <th>ViT-L-14 openai</th>\n",
       "      <th>ViT-L-14-336 openai</th>\n",
       "      <th>ViT-g-14 laion2b_s12b_b42k</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dataset</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>cars</th>\n",
       "      <td>0.837</td>\n",
       "      <td>0.645</td>\n",
       "      <td>0.844</td>\n",
       "      <td>0.842</td>\n",
       "      <td>0.860</td>\n",
       "      <td>0.594</td>\n",
       "      <td>0.792</td>\n",
       "      <td>0.935</td>\n",
       "      <td>0.926</td>\n",
       "      <td>0.896</td>\n",
       "      <td>0.777</td>\n",
       "      <td>0.793</td>\n",
       "      <td>0.928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>country211</th>\n",
       "      <td>0.181</td>\n",
       "      <td>0.228</td>\n",
       "      <td>0.188</td>\n",
       "      <td>0.165</td>\n",
       "      <td>0.166</td>\n",
       "      <td>0.172</td>\n",
       "      <td>0.147</td>\n",
       "      <td>0.300</td>\n",
       "      <td>0.264</td>\n",
       "      <td>0.231</td>\n",
       "      <td>0.318</td>\n",
       "      <td>0.345</td>\n",
       "      <td>0.287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fer2013</th>\n",
       "      <td>0.429</td>\n",
       "      <td>0.458</td>\n",
       "      <td>0.446</td>\n",
       "      <td>0.477</td>\n",
       "      <td>0.469</td>\n",
       "      <td>0.409</td>\n",
       "      <td>0.427</td>\n",
       "      <td>0.518</td>\n",
       "      <td>0.537</td>\n",
       "      <td>0.501</td>\n",
       "      <td>0.490</td>\n",
       "      <td>0.480</td>\n",
       "      <td>0.466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fgvc_aircraft</th>\n",
       "      <td>0.175</td>\n",
       "      <td>0.242</td>\n",
       "      <td>0.185</td>\n",
       "      <td>0.230</td>\n",
       "      <td>0.246</td>\n",
       "      <td>0.197</td>\n",
       "      <td>0.168</td>\n",
       "      <td>0.428</td>\n",
       "      <td>0.369</td>\n",
       "      <td>0.251</td>\n",
       "      <td>0.317</td>\n",
       "      <td>0.329</td>\n",
       "      <td>0.378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gtsrb</th>\n",
       "      <td>0.435</td>\n",
       "      <td>0.436</td>\n",
       "      <td>0.495</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.493</td>\n",
       "      <td>0.331</td>\n",
       "      <td>0.420</td>\n",
       "      <td>0.584</td>\n",
       "      <td>0.561</td>\n",
       "      <td>0.500</td>\n",
       "      <td>0.502</td>\n",
       "      <td>0.516</td>\n",
       "      <td>0.497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>imagenet-a</th>\n",
       "      <td>0.332</td>\n",
       "      <td>0.501</td>\n",
       "      <td>0.368</td>\n",
       "      <td>0.262</td>\n",
       "      <td>0.263</td>\n",
       "      <td>0.314</td>\n",
       "      <td>0.217</td>\n",
       "      <td>0.592</td>\n",
       "      <td>0.539</td>\n",
       "      <td>0.466</td>\n",
       "      <td>0.707</td>\n",
       "      <td>0.774</td>\n",
       "      <td>0.571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>imagenet-r</th>\n",
       "      <td>0.779</td>\n",
       "      <td>0.777</td>\n",
       "      <td>0.804</td>\n",
       "      <td>0.759</td>\n",
       "      <td>0.764</td>\n",
       "      <td>0.693</td>\n",
       "      <td>0.734</td>\n",
       "      <td>0.893</td>\n",
       "      <td>0.874</td>\n",
       "      <td>0.848</td>\n",
       "      <td>0.879</td>\n",
       "      <td>0.891</td>\n",
       "      <td>0.886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>imagenet1k</th>\n",
       "      <td>0.670</td>\n",
       "      <td>0.684</td>\n",
       "      <td>0.691</td>\n",
       "      <td>0.655</td>\n",
       "      <td>0.665</td>\n",
       "      <td>0.633</td>\n",
       "      <td>0.629</td>\n",
       "      <td>0.780</td>\n",
       "      <td>0.752</td>\n",
       "      <td>0.727</td>\n",
       "      <td>0.755</td>\n",
       "      <td>0.765</td>\n",
       "      <td>0.767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>imagenet_sketch</th>\n",
       "      <td>0.523</td>\n",
       "      <td>0.481</td>\n",
       "      <td>0.544</td>\n",
       "      <td>0.529</td>\n",
       "      <td>0.536</td>\n",
       "      <td>0.423</td>\n",
       "      <td>0.493</td>\n",
       "      <td>0.666</td>\n",
       "      <td>0.633</td>\n",
       "      <td>0.596</td>\n",
       "      <td>0.596</td>\n",
       "      <td>0.611</td>\n",
       "      <td>0.652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>imagenetv2</th>\n",
       "      <td>0.596</td>\n",
       "      <td>0.619</td>\n",
       "      <td>0.614</td>\n",
       "      <td>0.572</td>\n",
       "      <td>0.582</td>\n",
       "      <td>0.560</td>\n",
       "      <td>0.551</td>\n",
       "      <td>0.708</td>\n",
       "      <td>0.677</td>\n",
       "      <td>0.656</td>\n",
       "      <td>0.697</td>\n",
       "      <td>0.707</td>\n",
       "      <td>0.696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mnist</th>\n",
       "      <td>0.666</td>\n",
       "      <td>0.495</td>\n",
       "      <td>0.570</td>\n",
       "      <td>0.637</td>\n",
       "      <td>0.692</td>\n",
       "      <td>0.485</td>\n",
       "      <td>0.374</td>\n",
       "      <td>0.729</td>\n",
       "      <td>0.549</td>\n",
       "      <td>0.764</td>\n",
       "      <td>0.768</td>\n",
       "      <td>0.787</td>\n",
       "      <td>0.690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>objectnet</th>\n",
       "      <td>0.515</td>\n",
       "      <td>0.554</td>\n",
       "      <td>0.538</td>\n",
       "      <td>0.488</td>\n",
       "      <td>0.490</td>\n",
       "      <td>0.442</td>\n",
       "      <td>0.439</td>\n",
       "      <td>0.697</td>\n",
       "      <td>0.655</td>\n",
       "      <td>0.599</td>\n",
       "      <td>0.691</td>\n",
       "      <td>0.718</td>\n",
       "      <td>0.675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>renderedsst2</th>\n",
       "      <td>0.547</td>\n",
       "      <td>0.611</td>\n",
       "      <td>0.578</td>\n",
       "      <td>0.537</td>\n",
       "      <td>0.566</td>\n",
       "      <td>0.590</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.641</td>\n",
       "      <td>0.593</td>\n",
       "      <td>0.563</td>\n",
       "      <td>0.699</td>\n",
       "      <td>0.707</td>\n",
       "      <td>0.646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stl10</th>\n",
       "      <td>0.970</td>\n",
       "      <td>0.983</td>\n",
       "      <td>0.969</td>\n",
       "      <td>0.965</td>\n",
       "      <td>0.966</td>\n",
       "      <td>0.971</td>\n",
       "      <td>0.955</td>\n",
       "      <td>0.984</td>\n",
       "      <td>0.989</td>\n",
       "      <td>0.980</td>\n",
       "      <td>0.994</td>\n",
       "      <td>0.994</td>\n",
       "      <td>0.986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sun397</th>\n",
       "      <td>0.696</td>\n",
       "      <td>0.643</td>\n",
       "      <td>0.698</td>\n",
       "      <td>0.685</td>\n",
       "      <td>0.687</td>\n",
       "      <td>0.625</td>\n",
       "      <td>0.670</td>\n",
       "      <td>0.752</td>\n",
       "      <td>0.743</td>\n",
       "      <td>0.726</td>\n",
       "      <td>0.675</td>\n",
       "      <td>0.687</td>\n",
       "      <td>0.754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>voc2007</th>\n",
       "      <td>0.768</td>\n",
       "      <td>0.784</td>\n",
       "      <td>0.763</td>\n",
       "      <td>0.789</td>\n",
       "      <td>0.791</td>\n",
       "      <td>0.766</td>\n",
       "      <td>0.757</td>\n",
       "      <td>0.776</td>\n",
       "      <td>0.805</td>\n",
       "      <td>0.756</td>\n",
       "      <td>0.783</td>\n",
       "      <td>0.782</td>\n",
       "      <td>0.810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/caltech101</th>\n",
       "      <td>0.835</td>\n",
       "      <td>0.825</td>\n",
       "      <td>0.833</td>\n",
       "      <td>0.831</td>\n",
       "      <td>0.839</td>\n",
       "      <td>0.819</td>\n",
       "      <td>0.833</td>\n",
       "      <td>0.850</td>\n",
       "      <td>0.850</td>\n",
       "      <td>0.842</td>\n",
       "      <td>0.839</td>\n",
       "      <td>0.838</td>\n",
       "      <td>0.852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/cifar10</th>\n",
       "      <td>0.917</td>\n",
       "      <td>0.908</td>\n",
       "      <td>0.927</td>\n",
       "      <td>0.940</td>\n",
       "      <td>0.935</td>\n",
       "      <td>0.898</td>\n",
       "      <td>0.908</td>\n",
       "      <td>0.974</td>\n",
       "      <td>0.966</td>\n",
       "      <td>0.947</td>\n",
       "      <td>0.957</td>\n",
       "      <td>0.950</td>\n",
       "      <td>0.971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/cifar100</th>\n",
       "      <td>0.710</td>\n",
       "      <td>0.669</td>\n",
       "      <td>0.737</td>\n",
       "      <td>0.752</td>\n",
       "      <td>0.756</td>\n",
       "      <td>0.645</td>\n",
       "      <td>0.702</td>\n",
       "      <td>0.847</td>\n",
       "      <td>0.834</td>\n",
       "      <td>0.774</td>\n",
       "      <td>0.761</td>\n",
       "      <td>0.746</td>\n",
       "      <td>0.839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/clevr_closest_object_distance</th>\n",
       "      <td>0.245</td>\n",
       "      <td>0.158</td>\n",
       "      <td>0.159</td>\n",
       "      <td>0.167</td>\n",
       "      <td>0.190</td>\n",
       "      <td>0.172</td>\n",
       "      <td>0.159</td>\n",
       "      <td>0.168</td>\n",
       "      <td>0.161</td>\n",
       "      <td>0.149</td>\n",
       "      <td>0.161</td>\n",
       "      <td>0.158</td>\n",
       "      <td>0.177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/clevr_count_all</th>\n",
       "      <td>0.288</td>\n",
       "      <td>0.204</td>\n",
       "      <td>0.232</td>\n",
       "      <td>0.198</td>\n",
       "      <td>0.157</td>\n",
       "      <td>0.235</td>\n",
       "      <td>0.163</td>\n",
       "      <td>0.278</td>\n",
       "      <td>0.311</td>\n",
       "      <td>0.242</td>\n",
       "      <td>0.190</td>\n",
       "      <td>0.199</td>\n",
       "      <td>0.332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/diabetic_retinopathy</th>\n",
       "      <td>0.087</td>\n",
       "      <td>0.063</td>\n",
       "      <td>0.132</td>\n",
       "      <td>0.270</td>\n",
       "      <td>0.735</td>\n",
       "      <td>0.263</td>\n",
       "      <td>0.338</td>\n",
       "      <td>0.238</td>\n",
       "      <td>0.211</td>\n",
       "      <td>0.072</td>\n",
       "      <td>0.733</td>\n",
       "      <td>0.733</td>\n",
       "      <td>0.434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/dmlab</th>\n",
       "      <td>0.151</td>\n",
       "      <td>0.159</td>\n",
       "      <td>0.149</td>\n",
       "      <td>0.189</td>\n",
       "      <td>0.158</td>\n",
       "      <td>0.195</td>\n",
       "      <td>0.172</td>\n",
       "      <td>0.142</td>\n",
       "      <td>0.224</td>\n",
       "      <td>0.186</td>\n",
       "      <td>0.167</td>\n",
       "      <td>0.159</td>\n",
       "      <td>0.190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/dsprites_label_orientation</th>\n",
       "      <td>0.030</td>\n",
       "      <td>0.020</td>\n",
       "      <td>0.026</td>\n",
       "      <td>0.027</td>\n",
       "      <td>0.034</td>\n",
       "      <td>0.024</td>\n",
       "      <td>0.019</td>\n",
       "      <td>0.026</td>\n",
       "      <td>0.020</td>\n",
       "      <td>0.026</td>\n",
       "      <td>0.023</td>\n",
       "      <td>0.024</td>\n",
       "      <td>0.031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/dsprites_label_x_position</th>\n",
       "      <td>0.031</td>\n",
       "      <td>0.030</td>\n",
       "      <td>0.043</td>\n",
       "      <td>0.031</td>\n",
       "      <td>0.030</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.029</td>\n",
       "      <td>0.031</td>\n",
       "      <td>0.032</td>\n",
       "      <td>0.030</td>\n",
       "      <td>0.032</td>\n",
       "      <td>0.031</td>\n",
       "      <td>0.035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/dtd</th>\n",
       "      <td>0.513</td>\n",
       "      <td>0.446</td>\n",
       "      <td>0.557</td>\n",
       "      <td>0.540</td>\n",
       "      <td>0.557</td>\n",
       "      <td>0.443</td>\n",
       "      <td>0.543</td>\n",
       "      <td>0.679</td>\n",
       "      <td>0.628</td>\n",
       "      <td>0.603</td>\n",
       "      <td>0.551</td>\n",
       "      <td>0.557</td>\n",
       "      <td>0.681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/eurosat</th>\n",
       "      <td>0.503</td>\n",
       "      <td>0.556</td>\n",
       "      <td>0.580</td>\n",
       "      <td>0.502</td>\n",
       "      <td>0.482</td>\n",
       "      <td>0.507</td>\n",
       "      <td>0.516</td>\n",
       "      <td>0.717</td>\n",
       "      <td>0.651</td>\n",
       "      <td>0.618</td>\n",
       "      <td>0.627</td>\n",
       "      <td>0.619</td>\n",
       "      <td>0.648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/flowers</th>\n",
       "      <td>0.693</td>\n",
       "      <td>0.714</td>\n",
       "      <td>0.711</td>\n",
       "      <td>0.689</td>\n",
       "      <td>0.716</td>\n",
       "      <td>0.663</td>\n",
       "      <td>0.683</td>\n",
       "      <td>0.802</td>\n",
       "      <td>0.759</td>\n",
       "      <td>0.754</td>\n",
       "      <td>0.792</td>\n",
       "      <td>0.784</td>\n",
       "      <td>0.776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/kitti_closest_vehicle_distance</th>\n",
       "      <td>0.190</td>\n",
       "      <td>0.270</td>\n",
       "      <td>0.284</td>\n",
       "      <td>0.166</td>\n",
       "      <td>0.259</td>\n",
       "      <td>0.274</td>\n",
       "      <td>0.288</td>\n",
       "      <td>0.111</td>\n",
       "      <td>0.229</td>\n",
       "      <td>0.208</td>\n",
       "      <td>0.224</td>\n",
       "      <td>0.269</td>\n",
       "      <td>0.146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/pcam</th>\n",
       "      <td>0.605</td>\n",
       "      <td>0.506</td>\n",
       "      <td>0.544</td>\n",
       "      <td>0.504</td>\n",
       "      <td>0.586</td>\n",
       "      <td>0.622</td>\n",
       "      <td>0.546</td>\n",
       "      <td>0.536</td>\n",
       "      <td>0.553</td>\n",
       "      <td>0.486</td>\n",
       "      <td>0.516</td>\n",
       "      <td>0.613</td>\n",
       "      <td>0.551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/pets</th>\n",
       "      <td>0.892</td>\n",
       "      <td>0.889</td>\n",
       "      <td>0.904</td>\n",
       "      <td>0.893</td>\n",
       "      <td>0.907</td>\n",
       "      <td>0.873</td>\n",
       "      <td>0.868</td>\n",
       "      <td>0.944</td>\n",
       "      <td>0.932</td>\n",
       "      <td>0.919</td>\n",
       "      <td>0.931</td>\n",
       "      <td>0.938</td>\n",
       "      <td>0.943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/resisc45</th>\n",
       "      <td>0.585</td>\n",
       "      <td>0.585</td>\n",
       "      <td>0.613</td>\n",
       "      <td>0.617</td>\n",
       "      <td>0.609</td>\n",
       "      <td>0.538</td>\n",
       "      <td>0.546</td>\n",
       "      <td>0.696</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.673</td>\n",
       "      <td>0.635</td>\n",
       "      <td>0.637</td>\n",
       "      <td>0.717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/smallnorb_label_azimuth</th>\n",
       "      <td>0.059</td>\n",
       "      <td>0.056</td>\n",
       "      <td>0.055</td>\n",
       "      <td>0.052</td>\n",
       "      <td>0.062</td>\n",
       "      <td>0.060</td>\n",
       "      <td>0.045</td>\n",
       "      <td>0.055</td>\n",
       "      <td>0.056</td>\n",
       "      <td>0.052</td>\n",
       "      <td>0.046</td>\n",
       "      <td>0.048</td>\n",
       "      <td>0.059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/smallnorb_label_elevation</th>\n",
       "      <td>0.098</td>\n",
       "      <td>0.119</td>\n",
       "      <td>0.108</td>\n",
       "      <td>0.109</td>\n",
       "      <td>0.115</td>\n",
       "      <td>0.118</td>\n",
       "      <td>0.097</td>\n",
       "      <td>0.111</td>\n",
       "      <td>0.109</td>\n",
       "      <td>0.110</td>\n",
       "      <td>0.114</td>\n",
       "      <td>0.112</td>\n",
       "      <td>0.113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/svhn</th>\n",
       "      <td>0.386</td>\n",
       "      <td>0.305</td>\n",
       "      <td>0.363</td>\n",
       "      <td>0.385</td>\n",
       "      <td>0.410</td>\n",
       "      <td>0.124</td>\n",
       "      <td>0.279</td>\n",
       "      <td>0.561</td>\n",
       "      <td>0.463</td>\n",
       "      <td>0.382</td>\n",
       "      <td>0.571</td>\n",
       "      <td>0.554</td>\n",
       "      <td>0.603</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "model_fullname                       ViT-B-16 laion400m_e32  ViT-B-16 openai  \\\n",
       "dataset                                                                        \n",
       "cars                                                  0.837            0.645   \n",
       "country211                                            0.181            0.228   \n",
       "fer2013                                               0.429            0.458   \n",
       "fgvc_aircraft                                         0.175            0.242   \n",
       "gtsrb                                                 0.435            0.436   \n",
       "imagenet-a                                            0.332            0.501   \n",
       "imagenet-r                                            0.779            0.777   \n",
       "imagenet1k                                            0.670            0.684   \n",
       "imagenet_sketch                                       0.523            0.481   \n",
       "imagenetv2                                            0.596            0.619   \n",
       "mnist                                                 0.666            0.495   \n",
       "objectnet                                             0.515            0.554   \n",
       "renderedsst2                                          0.547            0.611   \n",
       "stl10                                                 0.970            0.983   \n",
       "sun397                                                0.696            0.643   \n",
       "voc2007                                               0.768            0.784   \n",
       "vtab/caltech101                                       0.835            0.825   \n",
       "vtab/cifar10                                          0.917            0.908   \n",
       "vtab/cifar100                                         0.710            0.669   \n",
       "vtab/clevr_closest_object_distance                    0.245            0.158   \n",
       "vtab/clevr_count_all                                  0.288            0.204   \n",
       "vtab/diabetic_retinopathy                             0.087            0.063   \n",
       "vtab/dmlab                                            0.151            0.159   \n",
       "vtab/dsprites_label_orientation                       0.030            0.020   \n",
       "vtab/dsprites_label_x_position                        0.031            0.030   \n",
       "vtab/dtd                                              0.513            0.446   \n",
       "vtab/eurosat                                          0.503            0.556   \n",
       "vtab/flowers                                          0.693            0.714   \n",
       "vtab/kitti_closest_vehicle_distance                   0.190            0.270   \n",
       "vtab/pcam                                             0.605            0.506   \n",
       "vtab/pets                                             0.892            0.889   \n",
       "vtab/resisc45                                         0.585            0.585   \n",
       "vtab/smallnorb_label_azimuth                          0.059            0.056   \n",
       "vtab/smallnorb_label_elevation                        0.098            0.119   \n",
       "vtab/svhn                                             0.386            0.305   \n",
       "\n",
       "model_fullname                       ViT-B-16-plus-240 laion400m_e32  \\\n",
       "dataset                                                                \n",
       "cars                                                           0.844   \n",
       "country211                                                     0.188   \n",
       "fer2013                                                        0.446   \n",
       "fgvc_aircraft                                                  0.185   \n",
       "gtsrb                                                          0.495   \n",
       "imagenet-a                                                     0.368   \n",
       "imagenet-r                                                     0.804   \n",
       "imagenet1k                                                     0.691   \n",
       "imagenet_sketch                                                0.544   \n",
       "imagenetv2                                                     0.614   \n",
       "mnist                                                          0.570   \n",
       "objectnet                                                      0.538   \n",
       "renderedsst2                                                   0.578   \n",
       "stl10                                                          0.969   \n",
       "sun397                                                         0.698   \n",
       "voc2007                                                        0.763   \n",
       "vtab/caltech101                                                0.833   \n",
       "vtab/cifar10                                                   0.927   \n",
       "vtab/cifar100                                                  0.737   \n",
       "vtab/clevr_closest_object_distance                             0.159   \n",
       "vtab/clevr_count_all                                           0.232   \n",
       "vtab/diabetic_retinopathy                                      0.132   \n",
       "vtab/dmlab                                                     0.149   \n",
       "vtab/dsprites_label_orientation                                0.026   \n",
       "vtab/dsprites_label_x_position                                 0.043   \n",
       "vtab/dtd                                                       0.557   \n",
       "vtab/eurosat                                                   0.580   \n",
       "vtab/flowers                                                   0.711   \n",
       "vtab/kitti_closest_vehicle_distance                            0.284   \n",
       "vtab/pcam                                                      0.544   \n",
       "vtab/pets                                                      0.904   \n",
       "vtab/resisc45                                                  0.613   \n",
       "vtab/smallnorb_label_azimuth                                   0.055   \n",
       "vtab/smallnorb_label_elevation                                 0.108   \n",
       "vtab/svhn                                                      0.363   \n",
       "\n",
       "model_fullname                       ViT-B-32 laion2b_e16  \\\n",
       "dataset                                                     \n",
       "cars                                                0.842   \n",
       "country211                                          0.165   \n",
       "fer2013                                             0.477   \n",
       "fgvc_aircraft                                       0.230   \n",
       "gtsrb                                               0.365   \n",
       "imagenet-a                                          0.262   \n",
       "imagenet-r                                          0.759   \n",
       "imagenet1k                                          0.655   \n",
       "imagenet_sketch                                     0.529   \n",
       "imagenetv2                                          0.572   \n",
       "mnist                                               0.637   \n",
       "objectnet                                           0.488   \n",
       "renderedsst2                                        0.537   \n",
       "stl10                                               0.965   \n",
       "sun397                                              0.685   \n",
       "voc2007                                             0.789   \n",
       "vtab/caltech101                                     0.831   \n",
       "vtab/cifar10                                        0.940   \n",
       "vtab/cifar100                                       0.752   \n",
       "vtab/clevr_closest_object_distance                  0.167   \n",
       "vtab/clevr_count_all                                0.198   \n",
       "vtab/diabetic_retinopathy                           0.270   \n",
       "vtab/dmlab                                          0.189   \n",
       "vtab/dsprites_label_orientation                     0.027   \n",
       "vtab/dsprites_label_x_position                      0.031   \n",
       "vtab/dtd                                            0.540   \n",
       "vtab/eurosat                                        0.502   \n",
       "vtab/flowers                                        0.689   \n",
       "vtab/kitti_closest_vehicle_distance                 0.166   \n",
       "vtab/pcam                                           0.504   \n",
       "vtab/pets                                           0.893   \n",
       "vtab/resisc45                                       0.617   \n",
       "vtab/smallnorb_label_azimuth                        0.052   \n",
       "vtab/smallnorb_label_elevation                      0.109   \n",
       "vtab/svhn                                           0.385   \n",
       "\n",
       "model_fullname                       ViT-B-32 laion2b_s34b_b79k  \\\n",
       "dataset                                                           \n",
       "cars                                                      0.860   \n",
       "country211                                                0.166   \n",
       "fer2013                                                   0.469   \n",
       "fgvc_aircraft                                             0.246   \n",
       "gtsrb                                                     0.493   \n",
       "imagenet-a                                                0.263   \n",
       "imagenet-r                                                0.764   \n",
       "imagenet1k                                                0.665   \n",
       "imagenet_sketch                                           0.536   \n",
       "imagenetv2                                                0.582   \n",
       "mnist                                                     0.692   \n",
       "objectnet                                                 0.490   \n",
       "renderedsst2                                              0.566   \n",
       "stl10                                                     0.966   \n",
       "sun397                                                    0.687   \n",
       "voc2007                                                   0.791   \n",
       "vtab/caltech101                                           0.839   \n",
       "vtab/cifar10                                              0.935   \n",
       "vtab/cifar100                                             0.756   \n",
       "vtab/clevr_closest_object_distance                        0.190   \n",
       "vtab/clevr_count_all                                      0.157   \n",
       "vtab/diabetic_retinopathy                                 0.735   \n",
       "vtab/dmlab                                                0.158   \n",
       "vtab/dsprites_label_orientation                           0.034   \n",
       "vtab/dsprites_label_x_position                            0.030   \n",
       "vtab/dtd                                                  0.557   \n",
       "vtab/eurosat                                              0.482   \n",
       "vtab/flowers                                              0.716   \n",
       "vtab/kitti_closest_vehicle_distance                       0.259   \n",
       "vtab/pcam                                                 0.586   \n",
       "vtab/pets                                                 0.907   \n",
       "vtab/resisc45                                             0.609   \n",
       "vtab/smallnorb_label_azimuth                              0.062   \n",
       "vtab/smallnorb_label_elevation                            0.115   \n",
       "vtab/svhn                                                 0.410   \n",
       "\n",
       "model_fullname                       ViT-B-32 openai  \\\n",
       "dataset                                                \n",
       "cars                                           0.594   \n",
       "country211                                     0.172   \n",
       "fer2013                                        0.409   \n",
       "fgvc_aircraft                                  0.197   \n",
       "gtsrb                                          0.331   \n",
       "imagenet-a                                     0.314   \n",
       "imagenet-r                                     0.693   \n",
       "imagenet1k                                     0.633   \n",
       "imagenet_sketch                                0.423   \n",
       "imagenetv2                                     0.560   \n",
       "mnist                                          0.485   \n",
       "objectnet                                      0.442   \n",
       "renderedsst2                                   0.590   \n",
       "stl10                                          0.971   \n",
       "sun397                                         0.625   \n",
       "voc2007                                        0.766   \n",
       "vtab/caltech101                                0.819   \n",
       "vtab/cifar10                                   0.898   \n",
       "vtab/cifar100                                  0.645   \n",
       "vtab/clevr_closest_object_distance             0.172   \n",
       "vtab/clevr_count_all                           0.235   \n",
       "vtab/diabetic_retinopathy                      0.263   \n",
       "vtab/dmlab                                     0.195   \n",
       "vtab/dsprites_label_orientation                0.024   \n",
       "vtab/dsprites_label_x_position                 0.035   \n",
       "vtab/dtd                                       0.443   \n",
       "vtab/eurosat                                   0.507   \n",
       "vtab/flowers                                   0.663   \n",
       "vtab/kitti_closest_vehicle_distance            0.274   \n",
       "vtab/pcam                                      0.622   \n",
       "vtab/pets                                      0.873   \n",
       "vtab/resisc45                                  0.538   \n",
       "vtab/smallnorb_label_azimuth                   0.060   \n",
       "vtab/smallnorb_label_elevation                 0.118   \n",
       "vtab/svhn                                      0.124   \n",
       "\n",
       "model_fullname                       ViT-B-32-quickgelu laion400m_e32  \\\n",
       "dataset                                                                 \n",
       "cars                                                            0.792   \n",
       "country211                                                      0.147   \n",
       "fer2013                                                         0.427   \n",
       "fgvc_aircraft                                                   0.168   \n",
       "gtsrb                                                           0.420   \n",
       "imagenet-a                                                      0.217   \n",
       "imagenet-r                                                      0.734   \n",
       "imagenet1k                                                      0.629   \n",
       "imagenet_sketch                                                 0.493   \n",
       "imagenetv2                                                      0.551   \n",
       "mnist                                                           0.374   \n",
       "objectnet                                                       0.439   \n",
       "renderedsst2                                                    0.526   \n",
       "stl10                                                           0.955   \n",
       "sun397                                                          0.670   \n",
       "voc2007                                                         0.757   \n",
       "vtab/caltech101                                                 0.833   \n",
       "vtab/cifar10                                                    0.908   \n",
       "vtab/cifar100                                                   0.702   \n",
       "vtab/clevr_closest_object_distance                              0.159   \n",
       "vtab/clevr_count_all                                            0.163   \n",
       "vtab/diabetic_retinopathy                                       0.338   \n",
       "vtab/dmlab                                                      0.172   \n",
       "vtab/dsprites_label_orientation                                 0.019   \n",
       "vtab/dsprites_label_x_position                                  0.029   \n",
       "vtab/dtd                                                        0.543   \n",
       "vtab/eurosat                                                    0.516   \n",
       "vtab/flowers                                                    0.683   \n",
       "vtab/kitti_closest_vehicle_distance                             0.288   \n",
       "vtab/pcam                                                       0.546   \n",
       "vtab/pets                                                       0.868   \n",
       "vtab/resisc45                                                   0.546   \n",
       "vtab/smallnorb_label_azimuth                                    0.045   \n",
       "vtab/smallnorb_label_elevation                                  0.097   \n",
       "vtab/svhn                                                       0.279   \n",
       "\n",
       "model_fullname                       ViT-H-14 laion2b_s32b_b79k  \\\n",
       "dataset                                                           \n",
       "cars                                                      0.935   \n",
       "country211                                                0.300   \n",
       "fer2013                                                   0.518   \n",
       "fgvc_aircraft                                             0.428   \n",
       "gtsrb                                                     0.584   \n",
       "imagenet-a                                                0.592   \n",
       "imagenet-r                                                0.893   \n",
       "imagenet1k                                                0.780   \n",
       "imagenet_sketch                                           0.666   \n",
       "imagenetv2                                                0.708   \n",
       "mnist                                                     0.729   \n",
       "objectnet                                                 0.697   \n",
       "renderedsst2                                              0.641   \n",
       "stl10                                                     0.984   \n",
       "sun397                                                    0.752   \n",
       "voc2007                                                   0.776   \n",
       "vtab/caltech101                                           0.850   \n",
       "vtab/cifar10                                              0.974   \n",
       "vtab/cifar100                                             0.847   \n",
       "vtab/clevr_closest_object_distance                        0.168   \n",
       "vtab/clevr_count_all                                      0.278   \n",
       "vtab/diabetic_retinopathy                                 0.238   \n",
       "vtab/dmlab                                                0.142   \n",
       "vtab/dsprites_label_orientation                           0.026   \n",
       "vtab/dsprites_label_x_position                            0.031   \n",
       "vtab/dtd                                                  0.679   \n",
       "vtab/eurosat                                              0.717   \n",
       "vtab/flowers                                              0.802   \n",
       "vtab/kitti_closest_vehicle_distance                       0.111   \n",
       "vtab/pcam                                                 0.536   \n",
       "vtab/pets                                                 0.944   \n",
       "vtab/resisc45                                             0.696   \n",
       "vtab/smallnorb_label_azimuth                              0.055   \n",
       "vtab/smallnorb_label_elevation                            0.111   \n",
       "vtab/svhn                                                 0.561   \n",
       "\n",
       "model_fullname                       ViT-L-14 laion2b_s32b_b82k  \\\n",
       "dataset                                                           \n",
       "cars                                                      0.926   \n",
       "country211                                                0.264   \n",
       "fer2013                                                   0.537   \n",
       "fgvc_aircraft                                             0.369   \n",
       "gtsrb                                                     0.561   \n",
       "imagenet-a                                                0.539   \n",
       "imagenet-r                                                0.874   \n",
       "imagenet1k                                                0.752   \n",
       "imagenet_sketch                                           0.633   \n",
       "imagenetv2                                                0.677   \n",
       "mnist                                                     0.549   \n",
       "objectnet                                                 0.655   \n",
       "renderedsst2                                              0.593   \n",
       "stl10                                                     0.989   \n",
       "sun397                                                    0.743   \n",
       "voc2007                                                   0.805   \n",
       "vtab/caltech101                                           0.850   \n",
       "vtab/cifar10                                              0.966   \n",
       "vtab/cifar100                                             0.834   \n",
       "vtab/clevr_closest_object_distance                        0.161   \n",
       "vtab/clevr_count_all                                      0.311   \n",
       "vtab/diabetic_retinopathy                                 0.211   \n",
       "vtab/dmlab                                                0.224   \n",
       "vtab/dsprites_label_orientation                           0.020   \n",
       "vtab/dsprites_label_x_position                            0.032   \n",
       "vtab/dtd                                                  0.628   \n",
       "vtab/eurosat                                              0.651   \n",
       "vtab/flowers                                              0.759   \n",
       "vtab/kitti_closest_vehicle_distance                       0.229   \n",
       "vtab/pcam                                                 0.553   \n",
       "vtab/pets                                                 0.932   \n",
       "vtab/resisc45                                             0.667   \n",
       "vtab/smallnorb_label_azimuth                              0.056   \n",
       "vtab/smallnorb_label_elevation                            0.109   \n",
       "vtab/svhn                                                 0.463   \n",
       "\n",
       "model_fullname                       ViT-L-14 laion400m_e32  ViT-L-14 openai  \\\n",
       "dataset                                                                        \n",
       "cars                                                  0.896            0.777   \n",
       "country211                                            0.231            0.318   \n",
       "fer2013                                               0.501            0.490   \n",
       "fgvc_aircraft                                         0.251            0.317   \n",
       "gtsrb                                                 0.500            0.502   \n",
       "imagenet-a                                            0.466            0.707   \n",
       "imagenet-r                                            0.848            0.879   \n",
       "imagenet1k                                            0.727            0.755   \n",
       "imagenet_sketch                                       0.596            0.596   \n",
       "imagenetv2                                            0.656            0.697   \n",
       "mnist                                                 0.764            0.768   \n",
       "objectnet                                             0.599            0.691   \n",
       "renderedsst2                                          0.563            0.699   \n",
       "stl10                                                 0.980            0.994   \n",
       "sun397                                                0.726            0.675   \n",
       "voc2007                                               0.756            0.783   \n",
       "vtab/caltech101                                       0.842            0.839   \n",
       "vtab/cifar10                                          0.947            0.957   \n",
       "vtab/cifar100                                         0.774            0.761   \n",
       "vtab/clevr_closest_object_distance                    0.149            0.161   \n",
       "vtab/clevr_count_all                                  0.242            0.190   \n",
       "vtab/diabetic_retinopathy                             0.072            0.733   \n",
       "vtab/dmlab                                            0.186            0.167   \n",
       "vtab/dsprites_label_orientation                       0.026            0.023   \n",
       "vtab/dsprites_label_x_position                        0.030            0.032   \n",
       "vtab/dtd                                              0.603            0.551   \n",
       "vtab/eurosat                                          0.618            0.627   \n",
       "vtab/flowers                                          0.754            0.792   \n",
       "vtab/kitti_closest_vehicle_distance                   0.208            0.224   \n",
       "vtab/pcam                                             0.486            0.516   \n",
       "vtab/pets                                             0.919            0.931   \n",
       "vtab/resisc45                                         0.673            0.635   \n",
       "vtab/smallnorb_label_azimuth                          0.052            0.046   \n",
       "vtab/smallnorb_label_elevation                        0.110            0.114   \n",
       "vtab/svhn                                             0.382            0.571   \n",
       "\n",
       "model_fullname                       ViT-L-14-336 openai  \\\n",
       "dataset                                                    \n",
       "cars                                               0.793   \n",
       "country211                                         0.345   \n",
       "fer2013                                            0.480   \n",
       "fgvc_aircraft                                      0.329   \n",
       "gtsrb                                              0.516   \n",
       "imagenet-a                                         0.774   \n",
       "imagenet-r                                         0.891   \n",
       "imagenet1k                                         0.765   \n",
       "imagenet_sketch                                    0.611   \n",
       "imagenetv2                                         0.707   \n",
       "mnist                                              0.787   \n",
       "objectnet                                          0.718   \n",
       "renderedsst2                                       0.707   \n",
       "stl10                                              0.994   \n",
       "sun397                                             0.687   \n",
       "voc2007                                            0.782   \n",
       "vtab/caltech101                                    0.838   \n",
       "vtab/cifar10                                       0.950   \n",
       "vtab/cifar100                                      0.746   \n",
       "vtab/clevr_closest_object_distance                 0.158   \n",
       "vtab/clevr_count_all                               0.199   \n",
       "vtab/diabetic_retinopathy                          0.733   \n",
       "vtab/dmlab                                         0.159   \n",
       "vtab/dsprites_label_orientation                    0.024   \n",
       "vtab/dsprites_label_x_position                     0.031   \n",
       "vtab/dtd                                           0.557   \n",
       "vtab/eurosat                                       0.619   \n",
       "vtab/flowers                                       0.784   \n",
       "vtab/kitti_closest_vehicle_distance                0.269   \n",
       "vtab/pcam                                          0.613   \n",
       "vtab/pets                                          0.938   \n",
       "vtab/resisc45                                      0.637   \n",
       "vtab/smallnorb_label_azimuth                       0.048   \n",
       "vtab/smallnorb_label_elevation                     0.112   \n",
       "vtab/svhn                                          0.554   \n",
       "\n",
       "model_fullname                       ViT-g-14 laion2b_s12b_b42k  \n",
       "dataset                                                          \n",
       "cars                                                      0.928  \n",
       "country211                                                0.287  \n",
       "fer2013                                                   0.466  \n",
       "fgvc_aircraft                                             0.378  \n",
       "gtsrb                                                     0.497  \n",
       "imagenet-a                                                0.571  \n",
       "imagenet-r                                                0.886  \n",
       "imagenet1k                                                0.767  \n",
       "imagenet_sketch                                           0.652  \n",
       "imagenetv2                                                0.696  \n",
       "mnist                                                     0.690  \n",
       "objectnet                                                 0.675  \n",
       "renderedsst2                                              0.646  \n",
       "stl10                                                     0.986  \n",
       "sun397                                                    0.754  \n",
       "voc2007                                                   0.810  \n",
       "vtab/caltech101                                           0.852  \n",
       "vtab/cifar10                                              0.971  \n",
       "vtab/cifar100                                             0.839  \n",
       "vtab/clevr_closest_object_distance                        0.177  \n",
       "vtab/clevr_count_all                                      0.332  \n",
       "vtab/diabetic_retinopathy                                 0.434  \n",
       "vtab/dmlab                                                0.190  \n",
       "vtab/dsprites_label_orientation                           0.031  \n",
       "vtab/dsprites_label_x_position                            0.035  \n",
       "vtab/dtd                                                  0.681  \n",
       "vtab/eurosat                                              0.648  \n",
       "vtab/flowers                                              0.776  \n",
       "vtab/kitti_closest_vehicle_distance                       0.146  \n",
       "vtab/pcam                                                 0.551  \n",
       "vtab/pets                                                 0.943  \n",
       "vtab/resisc45                                             0.717  \n",
       "vtab/smallnorb_label_azimuth                              0.059  \n",
       "vtab/smallnorb_label_elevation                            0.113  \n",
       "vtab/svhn                                                 0.603  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metric = \"acc1\"\n",
    "df_metric = pd.pivot(df, index=\"model_fullname\", columns=\"dataset\", values=metric).T.dropna()\n",
    "df_metric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "208d6deb-2f0c-47e8-884a-b3c36da17a57",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>model_fullname</th>\n",
       "      <th>ViT-B-16 laion400m_e32</th>\n",
       "      <th>ViT-B-16 openai</th>\n",
       "      <th>ViT-B-16-plus-240 laion400m_e32</th>\n",
       "      <th>ViT-B-32 laion2b_e16</th>\n",
       "      <th>ViT-B-32 laion2b_s34b_b79k</th>\n",
       "      <th>ViT-B-32 openai</th>\n",
       "      <th>ViT-B-32-quickgelu laion400m_e32</th>\n",
       "      <th>ViT-H-14 laion2b_s32b_b79k</th>\n",
       "      <th>ViT-L-14 laion2b_s32b_b82k</th>\n",
       "      <th>ViT-L-14 laion400m_e32</th>\n",
       "      <th>ViT-L-14 openai</th>\n",
       "      <th>ViT-L-14-336 openai</th>\n",
       "      <th>ViT-g-14 laion2b_s12b_b42k</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dataset</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>cars</th>\n",
       "      <td>0.838</td>\n",
       "      <td>0.647</td>\n",
       "      <td>0.846</td>\n",
       "      <td>0.844</td>\n",
       "      <td>0.862</td>\n",
       "      <td>0.597</td>\n",
       "      <td>0.793</td>\n",
       "      <td>0.935</td>\n",
       "      <td>0.926</td>\n",
       "      <td>0.896</td>\n",
       "      <td>0.777</td>\n",
       "      <td>0.793</td>\n",
       "      <td>0.929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>country211</th>\n",
       "      <td>0.182</td>\n",
       "      <td>0.228</td>\n",
       "      <td>0.188</td>\n",
       "      <td>0.164</td>\n",
       "      <td>0.167</td>\n",
       "      <td>0.171</td>\n",
       "      <td>0.147</td>\n",
       "      <td>0.299</td>\n",
       "      <td>0.263</td>\n",
       "      <td>0.231</td>\n",
       "      <td>0.318</td>\n",
       "      <td>0.345</td>\n",
       "      <td>0.288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fer2013</th>\n",
       "      <td>0.392</td>\n",
       "      <td>0.417</td>\n",
       "      <td>0.394</td>\n",
       "      <td>0.465</td>\n",
       "      <td>0.433</td>\n",
       "      <td>0.359</td>\n",
       "      <td>0.399</td>\n",
       "      <td>0.506</td>\n",
       "      <td>0.534</td>\n",
       "      <td>0.450</td>\n",
       "      <td>0.489</td>\n",
       "      <td>0.491</td>\n",
       "      <td>0.481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fgvc_aircraft</th>\n",
       "      <td>0.175</td>\n",
       "      <td>0.241</td>\n",
       "      <td>0.188</td>\n",
       "      <td>0.232</td>\n",
       "      <td>0.246</td>\n",
       "      <td>0.197</td>\n",
       "      <td>0.166</td>\n",
       "      <td>0.426</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.248</td>\n",
       "      <td>0.317</td>\n",
       "      <td>0.332</td>\n",
       "      <td>0.378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gtsrb</th>\n",
       "      <td>0.401</td>\n",
       "      <td>0.370</td>\n",
       "      <td>0.432</td>\n",
       "      <td>0.351</td>\n",
       "      <td>0.435</td>\n",
       "      <td>0.320</td>\n",
       "      <td>0.393</td>\n",
       "      <td>0.544</td>\n",
       "      <td>0.517</td>\n",
       "      <td>0.450</td>\n",
       "      <td>0.439</td>\n",
       "      <td>0.447</td>\n",
       "      <td>0.466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>imagenet-a</th>\n",
       "      <td>0.341</td>\n",
       "      <td>0.483</td>\n",
       "      <td>0.381</td>\n",
       "      <td>0.284</td>\n",
       "      <td>0.279</td>\n",
       "      <td>0.324</td>\n",
       "      <td>0.235</td>\n",
       "      <td>0.581</td>\n",
       "      <td>0.536</td>\n",
       "      <td>0.473</td>\n",
       "      <td>0.675</td>\n",
       "      <td>0.735</td>\n",
       "      <td>0.564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>imagenet-r</th>\n",
       "      <td>0.764</td>\n",
       "      <td>0.761</td>\n",
       "      <td>0.791</td>\n",
       "      <td>0.744</td>\n",
       "      <td>0.752</td>\n",
       "      <td>0.679</td>\n",
       "      <td>0.721</td>\n",
       "      <td>0.880</td>\n",
       "      <td>0.860</td>\n",
       "      <td>0.833</td>\n",
       "      <td>0.865</td>\n",
       "      <td>0.878</td>\n",
       "      <td>0.875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>imagenet1k</th>\n",
       "      <td>0.670</td>\n",
       "      <td>0.684</td>\n",
       "      <td>0.692</td>\n",
       "      <td>0.656</td>\n",
       "      <td>0.665</td>\n",
       "      <td>0.633</td>\n",
       "      <td>0.629</td>\n",
       "      <td>0.780</td>\n",
       "      <td>0.753</td>\n",
       "      <td>0.727</td>\n",
       "      <td>0.754</td>\n",
       "      <td>0.766</td>\n",
       "      <td>0.767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>imagenet_sketch</th>\n",
       "      <td>0.523</td>\n",
       "      <td>0.482</td>\n",
       "      <td>0.545</td>\n",
       "      <td>0.529</td>\n",
       "      <td>0.537</td>\n",
       "      <td>0.423</td>\n",
       "      <td>0.494</td>\n",
       "      <td>0.666</td>\n",
       "      <td>0.633</td>\n",
       "      <td>0.596</td>\n",
       "      <td>0.596</td>\n",
       "      <td>0.610</td>\n",
       "      <td>0.652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>imagenetv2</th>\n",
       "      <td>0.596</td>\n",
       "      <td>0.620</td>\n",
       "      <td>0.615</td>\n",
       "      <td>0.572</td>\n",
       "      <td>0.582</td>\n",
       "      <td>0.560</td>\n",
       "      <td>0.551</td>\n",
       "      <td>0.709</td>\n",
       "      <td>0.678</td>\n",
       "      <td>0.654</td>\n",
       "      <td>0.697</td>\n",
       "      <td>0.708</td>\n",
       "      <td>0.696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mnist</th>\n",
       "      <td>0.667</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.568</td>\n",
       "      <td>0.628</td>\n",
       "      <td>0.688</td>\n",
       "      <td>0.458</td>\n",
       "      <td>0.371</td>\n",
       "      <td>0.733</td>\n",
       "      <td>0.543</td>\n",
       "      <td>0.759</td>\n",
       "      <td>0.758</td>\n",
       "      <td>0.778</td>\n",
       "      <td>0.683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>objectnet</th>\n",
       "      <td>0.502</td>\n",
       "      <td>0.536</td>\n",
       "      <td>0.527</td>\n",
       "      <td>0.475</td>\n",
       "      <td>0.482</td>\n",
       "      <td>0.427</td>\n",
       "      <td>0.427</td>\n",
       "      <td>0.685</td>\n",
       "      <td>0.643</td>\n",
       "      <td>0.586</td>\n",
       "      <td>0.674</td>\n",
       "      <td>0.701</td>\n",
       "      <td>0.665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>renderedsst2</th>\n",
       "      <td>0.546</td>\n",
       "      <td>0.611</td>\n",
       "      <td>0.579</td>\n",
       "      <td>0.537</td>\n",
       "      <td>0.566</td>\n",
       "      <td>0.590</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.641</td>\n",
       "      <td>0.593</td>\n",
       "      <td>0.564</td>\n",
       "      <td>0.699</td>\n",
       "      <td>0.707</td>\n",
       "      <td>0.646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stl10</th>\n",
       "      <td>0.970</td>\n",
       "      <td>0.983</td>\n",
       "      <td>0.970</td>\n",
       "      <td>0.965</td>\n",
       "      <td>0.967</td>\n",
       "      <td>0.972</td>\n",
       "      <td>0.955</td>\n",
       "      <td>0.985</td>\n",
       "      <td>0.989</td>\n",
       "      <td>0.981</td>\n",
       "      <td>0.994</td>\n",
       "      <td>0.995</td>\n",
       "      <td>0.986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sun397</th>\n",
       "      <td>0.680</td>\n",
       "      <td>0.653</td>\n",
       "      <td>0.685</td>\n",
       "      <td>0.678</td>\n",
       "      <td>0.685</td>\n",
       "      <td>0.635</td>\n",
       "      <td>0.661</td>\n",
       "      <td>0.751</td>\n",
       "      <td>0.735</td>\n",
       "      <td>0.713</td>\n",
       "      <td>0.682</td>\n",
       "      <td>0.692</td>\n",
       "      <td>0.752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>voc2007</th>\n",
       "      <td>0.804</td>\n",
       "      <td>0.835</td>\n",
       "      <td>0.816</td>\n",
       "      <td>0.805</td>\n",
       "      <td>0.805</td>\n",
       "      <td>0.807</td>\n",
       "      <td>0.791</td>\n",
       "      <td>0.851</td>\n",
       "      <td>0.849</td>\n",
       "      <td>0.831</td>\n",
       "      <td>0.864</td>\n",
       "      <td>0.863</td>\n",
       "      <td>0.858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/caltech101</th>\n",
       "      <td>0.901</td>\n",
       "      <td>0.909</td>\n",
       "      <td>0.918</td>\n",
       "      <td>0.903</td>\n",
       "      <td>0.909</td>\n",
       "      <td>0.879</td>\n",
       "      <td>0.909</td>\n",
       "      <td>0.944</td>\n",
       "      <td>0.939</td>\n",
       "      <td>0.934</td>\n",
       "      <td>0.933</td>\n",
       "      <td>0.933</td>\n",
       "      <td>0.944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/cifar10</th>\n",
       "      <td>0.917</td>\n",
       "      <td>0.908</td>\n",
       "      <td>0.927</td>\n",
       "      <td>0.941</td>\n",
       "      <td>0.936</td>\n",
       "      <td>0.900</td>\n",
       "      <td>0.908</td>\n",
       "      <td>0.974</td>\n",
       "      <td>0.967</td>\n",
       "      <td>0.947</td>\n",
       "      <td>0.957</td>\n",
       "      <td>0.950</td>\n",
       "      <td>0.971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/cifar100</th>\n",
       "      <td>0.711</td>\n",
       "      <td>0.669</td>\n",
       "      <td>0.737</td>\n",
       "      <td>0.753</td>\n",
       "      <td>0.755</td>\n",
       "      <td>0.645</td>\n",
       "      <td>0.703</td>\n",
       "      <td>0.847</td>\n",
       "      <td>0.833</td>\n",
       "      <td>0.774</td>\n",
       "      <td>0.761</td>\n",
       "      <td>0.747</td>\n",
       "      <td>0.839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/clevr_closest_object_distance</th>\n",
       "      <td>0.167</td>\n",
       "      <td>0.168</td>\n",
       "      <td>0.170</td>\n",
       "      <td>0.183</td>\n",
       "      <td>0.139</td>\n",
       "      <td>0.162</td>\n",
       "      <td>0.167</td>\n",
       "      <td>0.195</td>\n",
       "      <td>0.174</td>\n",
       "      <td>0.144</td>\n",
       "      <td>0.177</td>\n",
       "      <td>0.181</td>\n",
       "      <td>0.227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/clevr_count_all</th>\n",
       "      <td>0.282</td>\n",
       "      <td>0.215</td>\n",
       "      <td>0.233</td>\n",
       "      <td>0.182</td>\n",
       "      <td>0.150</td>\n",
       "      <td>0.220</td>\n",
       "      <td>0.158</td>\n",
       "      <td>0.256</td>\n",
       "      <td>0.307</td>\n",
       "      <td>0.231</td>\n",
       "      <td>0.187</td>\n",
       "      <td>0.195</td>\n",
       "      <td>0.319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/diabetic_retinopathy</th>\n",
       "      <td>0.252</td>\n",
       "      <td>0.211</td>\n",
       "      <td>0.231</td>\n",
       "      <td>0.221</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.219</td>\n",
       "      <td>0.259</td>\n",
       "      <td>0.233</td>\n",
       "      <td>0.234</td>\n",
       "      <td>0.220</td>\n",
       "      <td>0.206</td>\n",
       "      <td>0.207</td>\n",
       "      <td>0.217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/dmlab</th>\n",
       "      <td>0.172</td>\n",
       "      <td>0.170</td>\n",
       "      <td>0.148</td>\n",
       "      <td>0.168</td>\n",
       "      <td>0.166</td>\n",
       "      <td>0.164</td>\n",
       "      <td>0.158</td>\n",
       "      <td>0.166</td>\n",
       "      <td>0.182</td>\n",
       "      <td>0.193</td>\n",
       "      <td>0.178</td>\n",
       "      <td>0.171</td>\n",
       "      <td>0.173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/dsprites_label_orientation</th>\n",
       "      <td>0.033</td>\n",
       "      <td>0.018</td>\n",
       "      <td>0.026</td>\n",
       "      <td>0.025</td>\n",
       "      <td>0.034</td>\n",
       "      <td>0.022</td>\n",
       "      <td>0.020</td>\n",
       "      <td>0.027</td>\n",
       "      <td>0.022</td>\n",
       "      <td>0.026</td>\n",
       "      <td>0.024</td>\n",
       "      <td>0.025</td>\n",
       "      <td>0.030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/dsprites_label_x_position</th>\n",
       "      <td>0.032</td>\n",
       "      <td>0.029</td>\n",
       "      <td>0.043</td>\n",
       "      <td>0.031</td>\n",
       "      <td>0.030</td>\n",
       "      <td>0.034</td>\n",
       "      <td>0.031</td>\n",
       "      <td>0.031</td>\n",
       "      <td>0.032</td>\n",
       "      <td>0.031</td>\n",
       "      <td>0.032</td>\n",
       "      <td>0.032</td>\n",
       "      <td>0.036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/dtd</th>\n",
       "      <td>0.510</td>\n",
       "      <td>0.449</td>\n",
       "      <td>0.554</td>\n",
       "      <td>0.537</td>\n",
       "      <td>0.562</td>\n",
       "      <td>0.443</td>\n",
       "      <td>0.547</td>\n",
       "      <td>0.681</td>\n",
       "      <td>0.632</td>\n",
       "      <td>0.604</td>\n",
       "      <td>0.550</td>\n",
       "      <td>0.556</td>\n",
       "      <td>0.683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/eurosat</th>\n",
       "      <td>0.511</td>\n",
       "      <td>0.547</td>\n",
       "      <td>0.589</td>\n",
       "      <td>0.511</td>\n",
       "      <td>0.494</td>\n",
       "      <td>0.490</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.720</td>\n",
       "      <td>0.664</td>\n",
       "      <td>0.630</td>\n",
       "      <td>0.638</td>\n",
       "      <td>0.631</td>\n",
       "      <td>0.645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/flowers</th>\n",
       "      <td>0.667</td>\n",
       "      <td>0.691</td>\n",
       "      <td>0.686</td>\n",
       "      <td>0.673</td>\n",
       "      <td>0.700</td>\n",
       "      <td>0.665</td>\n",
       "      <td>0.663</td>\n",
       "      <td>0.799</td>\n",
       "      <td>0.746</td>\n",
       "      <td>0.726</td>\n",
       "      <td>0.793</td>\n",
       "      <td>0.786</td>\n",
       "      <td>0.781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/kitti_closest_vehicle_distance</th>\n",
       "      <td>0.257</td>\n",
       "      <td>0.352</td>\n",
       "      <td>0.408</td>\n",
       "      <td>0.325</td>\n",
       "      <td>0.340</td>\n",
       "      <td>0.406</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.272</td>\n",
       "      <td>0.308</td>\n",
       "      <td>0.179</td>\n",
       "      <td>0.372</td>\n",
       "      <td>0.374</td>\n",
       "      <td>0.182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/pcam</th>\n",
       "      <td>0.605</td>\n",
       "      <td>0.506</td>\n",
       "      <td>0.544</td>\n",
       "      <td>0.504</td>\n",
       "      <td>0.586</td>\n",
       "      <td>0.622</td>\n",
       "      <td>0.546</td>\n",
       "      <td>0.536</td>\n",
       "      <td>0.553</td>\n",
       "      <td>0.486</td>\n",
       "      <td>0.516</td>\n",
       "      <td>0.613</td>\n",
       "      <td>0.551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/pets</th>\n",
       "      <td>0.892</td>\n",
       "      <td>0.885</td>\n",
       "      <td>0.904</td>\n",
       "      <td>0.891</td>\n",
       "      <td>0.907</td>\n",
       "      <td>0.870</td>\n",
       "      <td>0.866</td>\n",
       "      <td>0.943</td>\n",
       "      <td>0.931</td>\n",
       "      <td>0.916</td>\n",
       "      <td>0.933</td>\n",
       "      <td>0.937</td>\n",
       "      <td>0.943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/resisc45</th>\n",
       "      <td>0.593</td>\n",
       "      <td>0.592</td>\n",
       "      <td>0.615</td>\n",
       "      <td>0.624</td>\n",
       "      <td>0.615</td>\n",
       "      <td>0.542</td>\n",
       "      <td>0.554</td>\n",
       "      <td>0.706</td>\n",
       "      <td>0.676</td>\n",
       "      <td>0.678</td>\n",
       "      <td>0.642</td>\n",
       "      <td>0.646</td>\n",
       "      <td>0.726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/smallnorb_label_azimuth</th>\n",
       "      <td>0.060</td>\n",
       "      <td>0.052</td>\n",
       "      <td>0.055</td>\n",
       "      <td>0.054</td>\n",
       "      <td>0.063</td>\n",
       "      <td>0.063</td>\n",
       "      <td>0.045</td>\n",
       "      <td>0.056</td>\n",
       "      <td>0.057</td>\n",
       "      <td>0.053</td>\n",
       "      <td>0.046</td>\n",
       "      <td>0.046</td>\n",
       "      <td>0.060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/smallnorb_label_elevation</th>\n",
       "      <td>0.098</td>\n",
       "      <td>0.118</td>\n",
       "      <td>0.109</td>\n",
       "      <td>0.109</td>\n",
       "      <td>0.116</td>\n",
       "      <td>0.121</td>\n",
       "      <td>0.097</td>\n",
       "      <td>0.110</td>\n",
       "      <td>0.110</td>\n",
       "      <td>0.108</td>\n",
       "      <td>0.114</td>\n",
       "      <td>0.113</td>\n",
       "      <td>0.115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/svhn</th>\n",
       "      <td>0.369</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.403</td>\n",
       "      <td>0.379</td>\n",
       "      <td>0.422</td>\n",
       "      <td>0.133</td>\n",
       "      <td>0.280</td>\n",
       "      <td>0.557</td>\n",
       "      <td>0.487</td>\n",
       "      <td>0.406</td>\n",
       "      <td>0.589</td>\n",
       "      <td>0.559</td>\n",
       "      <td>0.568</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "model_fullname                       ViT-B-16 laion400m_e32  ViT-B-16 openai  \\\n",
       "dataset                                                                        \n",
       "cars                                                  0.838            0.647   \n",
       "country211                                            0.182            0.228   \n",
       "fer2013                                               0.392            0.417   \n",
       "fgvc_aircraft                                         0.175            0.241   \n",
       "gtsrb                                                 0.401            0.370   \n",
       "imagenet-a                                            0.341            0.483   \n",
       "imagenet-r                                            0.764            0.761   \n",
       "imagenet1k                                            0.670            0.684   \n",
       "imagenet_sketch                                       0.523            0.482   \n",
       "imagenetv2                                            0.596            0.620   \n",
       "mnist                                                 0.667            0.526   \n",
       "objectnet                                             0.502            0.536   \n",
       "renderedsst2                                          0.546            0.611   \n",
       "stl10                                                 0.970            0.983   \n",
       "sun397                                                0.680            0.653   \n",
       "voc2007                                               0.804            0.835   \n",
       "vtab/caltech101                                       0.901            0.909   \n",
       "vtab/cifar10                                          0.917            0.908   \n",
       "vtab/cifar100                                         0.711            0.669   \n",
       "vtab/clevr_closest_object_distance                    0.167            0.168   \n",
       "vtab/clevr_count_all                                  0.282            0.215   \n",
       "vtab/diabetic_retinopathy                             0.252            0.211   \n",
       "vtab/dmlab                                            0.172            0.170   \n",
       "vtab/dsprites_label_orientation                       0.033            0.018   \n",
       "vtab/dsprites_label_x_position                        0.032            0.029   \n",
       "vtab/dtd                                              0.510            0.449   \n",
       "vtab/eurosat                                          0.511            0.547   \n",
       "vtab/flowers                                          0.667            0.691   \n",
       "vtab/kitti_closest_vehicle_distance                   0.257            0.352   \n",
       "vtab/pcam                                             0.605            0.506   \n",
       "vtab/pets                                             0.892            0.885   \n",
       "vtab/resisc45                                         0.593            0.592   \n",
       "vtab/smallnorb_label_azimuth                          0.060            0.052   \n",
       "vtab/smallnorb_label_elevation                        0.098            0.118   \n",
       "vtab/svhn                                             0.369            0.350   \n",
       "\n",
       "model_fullname                       ViT-B-16-plus-240 laion400m_e32  \\\n",
       "dataset                                                                \n",
       "cars                                                           0.846   \n",
       "country211                                                     0.188   \n",
       "fer2013                                                        0.394   \n",
       "fgvc_aircraft                                                  0.188   \n",
       "gtsrb                                                          0.432   \n",
       "imagenet-a                                                     0.381   \n",
       "imagenet-r                                                     0.791   \n",
       "imagenet1k                                                     0.692   \n",
       "imagenet_sketch                                                0.545   \n",
       "imagenetv2                                                     0.615   \n",
       "mnist                                                          0.568   \n",
       "objectnet                                                      0.527   \n",
       "renderedsst2                                                   0.579   \n",
       "stl10                                                          0.970   \n",
       "sun397                                                         0.685   \n",
       "voc2007                                                        0.816   \n",
       "vtab/caltech101                                                0.918   \n",
       "vtab/cifar10                                                   0.927   \n",
       "vtab/cifar100                                                  0.737   \n",
       "vtab/clevr_closest_object_distance                             0.170   \n",
       "vtab/clevr_count_all                                           0.233   \n",
       "vtab/diabetic_retinopathy                                      0.231   \n",
       "vtab/dmlab                                                     0.148   \n",
       "vtab/dsprites_label_orientation                                0.026   \n",
       "vtab/dsprites_label_x_position                                 0.043   \n",
       "vtab/dtd                                                       0.554   \n",
       "vtab/eurosat                                                   0.589   \n",
       "vtab/flowers                                                   0.686   \n",
       "vtab/kitti_closest_vehicle_distance                            0.408   \n",
       "vtab/pcam                                                      0.544   \n",
       "vtab/pets                                                      0.904   \n",
       "vtab/resisc45                                                  0.615   \n",
       "vtab/smallnorb_label_azimuth                                   0.055   \n",
       "vtab/smallnorb_label_elevation                                 0.109   \n",
       "vtab/svhn                                                      0.403   \n",
       "\n",
       "model_fullname                       ViT-B-32 laion2b_e16  \\\n",
       "dataset                                                     \n",
       "cars                                                0.844   \n",
       "country211                                          0.164   \n",
       "fer2013                                             0.465   \n",
       "fgvc_aircraft                                       0.232   \n",
       "gtsrb                                               0.351   \n",
       "imagenet-a                                          0.284   \n",
       "imagenet-r                                          0.744   \n",
       "imagenet1k                                          0.656   \n",
       "imagenet_sketch                                     0.529   \n",
       "imagenetv2                                          0.572   \n",
       "mnist                                               0.628   \n",
       "objectnet                                           0.475   \n",
       "renderedsst2                                        0.537   \n",
       "stl10                                               0.965   \n",
       "sun397                                              0.678   \n",
       "voc2007                                             0.805   \n",
       "vtab/caltech101                                     0.903   \n",
       "vtab/cifar10                                        0.941   \n",
       "vtab/cifar100                                       0.753   \n",
       "vtab/clevr_closest_object_distance                  0.183   \n",
       "vtab/clevr_count_all                                0.182   \n",
       "vtab/diabetic_retinopathy                           0.221   \n",
       "vtab/dmlab                                          0.168   \n",
       "vtab/dsprites_label_orientation                     0.025   \n",
       "vtab/dsprites_label_x_position                      0.031   \n",
       "vtab/dtd                                            0.537   \n",
       "vtab/eurosat                                        0.511   \n",
       "vtab/flowers                                        0.673   \n",
       "vtab/kitti_closest_vehicle_distance                 0.325   \n",
       "vtab/pcam                                           0.504   \n",
       "vtab/pets                                           0.891   \n",
       "vtab/resisc45                                       0.624   \n",
       "vtab/smallnorb_label_azimuth                        0.054   \n",
       "vtab/smallnorb_label_elevation                      0.109   \n",
       "vtab/svhn                                           0.379   \n",
       "\n",
       "model_fullname                       ViT-B-32 laion2b_s34b_b79k  \\\n",
       "dataset                                                           \n",
       "cars                                                      0.862   \n",
       "country211                                                0.167   \n",
       "fer2013                                                   0.433   \n",
       "fgvc_aircraft                                             0.246   \n",
       "gtsrb                                                     0.435   \n",
       "imagenet-a                                                0.279   \n",
       "imagenet-r                                                0.752   \n",
       "imagenet1k                                                0.665   \n",
       "imagenet_sketch                                           0.537   \n",
       "imagenetv2                                                0.582   \n",
       "mnist                                                     0.688   \n",
       "objectnet                                                 0.482   \n",
       "renderedsst2                                              0.566   \n",
       "stl10                                                     0.967   \n",
       "sun397                                                    0.685   \n",
       "voc2007                                                   0.805   \n",
       "vtab/caltech101                                           0.909   \n",
       "vtab/cifar10                                              0.936   \n",
       "vtab/cifar100                                             0.755   \n",
       "vtab/clevr_closest_object_distance                        0.139   \n",
       "vtab/clevr_count_all                                      0.150   \n",
       "vtab/diabetic_retinopathy                                 0.200   \n",
       "vtab/dmlab                                                0.166   \n",
       "vtab/dsprites_label_orientation                           0.034   \n",
       "vtab/dsprites_label_x_position                            0.030   \n",
       "vtab/dtd                                                  0.562   \n",
       "vtab/eurosat                                              0.494   \n",
       "vtab/flowers                                              0.700   \n",
       "vtab/kitti_closest_vehicle_distance                       0.340   \n",
       "vtab/pcam                                                 0.586   \n",
       "vtab/pets                                                 0.907   \n",
       "vtab/resisc45                                             0.615   \n",
       "vtab/smallnorb_label_azimuth                              0.063   \n",
       "vtab/smallnorb_label_elevation                            0.116   \n",
       "vtab/svhn                                                 0.422   \n",
       "\n",
       "model_fullname                       ViT-B-32 openai  \\\n",
       "dataset                                                \n",
       "cars                                           0.597   \n",
       "country211                                     0.171   \n",
       "fer2013                                        0.359   \n",
       "fgvc_aircraft                                  0.197   \n",
       "gtsrb                                          0.320   \n",
       "imagenet-a                                     0.324   \n",
       "imagenet-r                                     0.679   \n",
       "imagenet1k                                     0.633   \n",
       "imagenet_sketch                                0.423   \n",
       "imagenetv2                                     0.560   \n",
       "mnist                                          0.458   \n",
       "objectnet                                      0.427   \n",
       "renderedsst2                                   0.590   \n",
       "stl10                                          0.972   \n",
       "sun397                                         0.635   \n",
       "voc2007                                        0.807   \n",
       "vtab/caltech101                                0.879   \n",
       "vtab/cifar10                                   0.900   \n",
       "vtab/cifar100                                  0.645   \n",
       "vtab/clevr_closest_object_distance             0.162   \n",
       "vtab/clevr_count_all                           0.220   \n",
       "vtab/diabetic_retinopathy                      0.219   \n",
       "vtab/dmlab                                     0.164   \n",
       "vtab/dsprites_label_orientation                0.022   \n",
       "vtab/dsprites_label_x_position                 0.034   \n",
       "vtab/dtd                                       0.443   \n",
       "vtab/eurosat                                   0.490   \n",
       "vtab/flowers                                   0.665   \n",
       "vtab/kitti_closest_vehicle_distance            0.406   \n",
       "vtab/pcam                                      0.622   \n",
       "vtab/pets                                      0.870   \n",
       "vtab/resisc45                                  0.542   \n",
       "vtab/smallnorb_label_azimuth                   0.063   \n",
       "vtab/smallnorb_label_elevation                 0.121   \n",
       "vtab/svhn                                      0.133   \n",
       "\n",
       "model_fullname                       ViT-B-32-quickgelu laion400m_e32  \\\n",
       "dataset                                                                 \n",
       "cars                                                            0.793   \n",
       "country211                                                      0.147   \n",
       "fer2013                                                         0.399   \n",
       "fgvc_aircraft                                                   0.166   \n",
       "gtsrb                                                           0.393   \n",
       "imagenet-a                                                      0.235   \n",
       "imagenet-r                                                      0.721   \n",
       "imagenet1k                                                      0.629   \n",
       "imagenet_sketch                                                 0.494   \n",
       "imagenetv2                                                      0.551   \n",
       "mnist                                                           0.371   \n",
       "objectnet                                                       0.427   \n",
       "renderedsst2                                                    0.526   \n",
       "stl10                                                           0.955   \n",
       "sun397                                                          0.661   \n",
       "voc2007                                                         0.791   \n",
       "vtab/caltech101                                                 0.909   \n",
       "vtab/cifar10                                                    0.908   \n",
       "vtab/cifar100                                                   0.703   \n",
       "vtab/clevr_closest_object_distance                              0.167   \n",
       "vtab/clevr_count_all                                            0.158   \n",
       "vtab/diabetic_retinopathy                                       0.259   \n",
       "vtab/dmlab                                                      0.158   \n",
       "vtab/dsprites_label_orientation                                 0.020   \n",
       "vtab/dsprites_label_x_position                                  0.031   \n",
       "vtab/dtd                                                        0.547   \n",
       "vtab/eurosat                                                    0.526   \n",
       "vtab/flowers                                                    0.663   \n",
       "vtab/kitti_closest_vehicle_distance                             0.365   \n",
       "vtab/pcam                                                       0.546   \n",
       "vtab/pets                                                       0.866   \n",
       "vtab/resisc45                                                   0.554   \n",
       "vtab/smallnorb_label_azimuth                                    0.045   \n",
       "vtab/smallnorb_label_elevation                                  0.097   \n",
       "vtab/svhn                                                       0.280   \n",
       "\n",
       "model_fullname                       ViT-H-14 laion2b_s32b_b79k  \\\n",
       "dataset                                                           \n",
       "cars                                                      0.935   \n",
       "country211                                                0.299   \n",
       "fer2013                                                   0.506   \n",
       "fgvc_aircraft                                             0.426   \n",
       "gtsrb                                                     0.544   \n",
       "imagenet-a                                                0.581   \n",
       "imagenet-r                                                0.880   \n",
       "imagenet1k                                                0.780   \n",
       "imagenet_sketch                                           0.666   \n",
       "imagenetv2                                                0.709   \n",
       "mnist                                                     0.733   \n",
       "objectnet                                                 0.685   \n",
       "renderedsst2                                              0.641   \n",
       "stl10                                                     0.985   \n",
       "sun397                                                    0.751   \n",
       "voc2007                                                   0.851   \n",
       "vtab/caltech101                                           0.944   \n",
       "vtab/cifar10                                              0.974   \n",
       "vtab/cifar100                                             0.847   \n",
       "vtab/clevr_closest_object_distance                        0.195   \n",
       "vtab/clevr_count_all                                      0.256   \n",
       "vtab/diabetic_retinopathy                                 0.233   \n",
       "vtab/dmlab                                                0.166   \n",
       "vtab/dsprites_label_orientation                           0.027   \n",
       "vtab/dsprites_label_x_position                            0.031   \n",
       "vtab/dtd                                                  0.681   \n",
       "vtab/eurosat                                              0.720   \n",
       "vtab/flowers                                              0.799   \n",
       "vtab/kitti_closest_vehicle_distance                       0.272   \n",
       "vtab/pcam                                                 0.536   \n",
       "vtab/pets                                                 0.943   \n",
       "vtab/resisc45                                             0.706   \n",
       "vtab/smallnorb_label_azimuth                              0.056   \n",
       "vtab/smallnorb_label_elevation                            0.110   \n",
       "vtab/svhn                                                 0.557   \n",
       "\n",
       "model_fullname                       ViT-L-14 laion2b_s32b_b82k  \\\n",
       "dataset                                                           \n",
       "cars                                                      0.926   \n",
       "country211                                                0.263   \n",
       "fer2013                                                   0.534   \n",
       "fgvc_aircraft                                             0.365   \n",
       "gtsrb                                                     0.517   \n",
       "imagenet-a                                                0.536   \n",
       "imagenet-r                                                0.860   \n",
       "imagenet1k                                                0.753   \n",
       "imagenet_sketch                                           0.633   \n",
       "imagenetv2                                                0.678   \n",
       "mnist                                                     0.543   \n",
       "objectnet                                                 0.643   \n",
       "renderedsst2                                              0.593   \n",
       "stl10                                                     0.989   \n",
       "sun397                                                    0.735   \n",
       "voc2007                                                   0.849   \n",
       "vtab/caltech101                                           0.939   \n",
       "vtab/cifar10                                              0.967   \n",
       "vtab/cifar100                                             0.833   \n",
       "vtab/clevr_closest_object_distance                        0.174   \n",
       "vtab/clevr_count_all                                      0.307   \n",
       "vtab/diabetic_retinopathy                                 0.234   \n",
       "vtab/dmlab                                                0.182   \n",
       "vtab/dsprites_label_orientation                           0.022   \n",
       "vtab/dsprites_label_x_position                            0.032   \n",
       "vtab/dtd                                                  0.632   \n",
       "vtab/eurosat                                              0.664   \n",
       "vtab/flowers                                              0.746   \n",
       "vtab/kitti_closest_vehicle_distance                       0.308   \n",
       "vtab/pcam                                                 0.553   \n",
       "vtab/pets                                                 0.931   \n",
       "vtab/resisc45                                             0.676   \n",
       "vtab/smallnorb_label_azimuth                              0.057   \n",
       "vtab/smallnorb_label_elevation                            0.110   \n",
       "vtab/svhn                                                 0.487   \n",
       "\n",
       "model_fullname                       ViT-L-14 laion400m_e32  ViT-L-14 openai  \\\n",
       "dataset                                                                        \n",
       "cars                                                  0.896            0.777   \n",
       "country211                                            0.231            0.318   \n",
       "fer2013                                               0.450            0.489   \n",
       "fgvc_aircraft                                         0.248            0.317   \n",
       "gtsrb                                                 0.450            0.439   \n",
       "imagenet-a                                            0.473            0.675   \n",
       "imagenet-r                                            0.833            0.865   \n",
       "imagenet1k                                            0.727            0.754   \n",
       "imagenet_sketch                                       0.596            0.596   \n",
       "imagenetv2                                            0.654            0.697   \n",
       "mnist                                                 0.759            0.758   \n",
       "objectnet                                             0.586            0.674   \n",
       "renderedsst2                                          0.564            0.699   \n",
       "stl10                                                 0.981            0.994   \n",
       "sun397                                                0.713            0.682   \n",
       "voc2007                                               0.831            0.864   \n",
       "vtab/caltech101                                       0.934            0.933   \n",
       "vtab/cifar10                                          0.947            0.957   \n",
       "vtab/cifar100                                         0.774            0.761   \n",
       "vtab/clevr_closest_object_distance                    0.144            0.177   \n",
       "vtab/clevr_count_all                                  0.231            0.187   \n",
       "vtab/diabetic_retinopathy                             0.220            0.206   \n",
       "vtab/dmlab                                            0.193            0.178   \n",
       "vtab/dsprites_label_orientation                       0.026            0.024   \n",
       "vtab/dsprites_label_x_position                        0.031            0.032   \n",
       "vtab/dtd                                              0.604            0.550   \n",
       "vtab/eurosat                                          0.630            0.638   \n",
       "vtab/flowers                                          0.726            0.793   \n",
       "vtab/kitti_closest_vehicle_distance                   0.179            0.372   \n",
       "vtab/pcam                                             0.486            0.516   \n",
       "vtab/pets                                             0.916            0.933   \n",
       "vtab/resisc45                                         0.678            0.642   \n",
       "vtab/smallnorb_label_azimuth                          0.053            0.046   \n",
       "vtab/smallnorb_label_elevation                        0.108            0.114   \n",
       "vtab/svhn                                             0.406            0.589   \n",
       "\n",
       "model_fullname                       ViT-L-14-336 openai  \\\n",
       "dataset                                                    \n",
       "cars                                               0.793   \n",
       "country211                                         0.345   \n",
       "fer2013                                            0.491   \n",
       "fgvc_aircraft                                      0.332   \n",
       "gtsrb                                              0.447   \n",
       "imagenet-a                                         0.735   \n",
       "imagenet-r                                         0.878   \n",
       "imagenet1k                                         0.766   \n",
       "imagenet_sketch                                    0.610   \n",
       "imagenetv2                                         0.708   \n",
       "mnist                                              0.778   \n",
       "objectnet                                          0.701   \n",
       "renderedsst2                                       0.707   \n",
       "stl10                                              0.995   \n",
       "sun397                                             0.692   \n",
       "voc2007                                            0.863   \n",
       "vtab/caltech101                                    0.933   \n",
       "vtab/cifar10                                       0.950   \n",
       "vtab/cifar100                                      0.747   \n",
       "vtab/clevr_closest_object_distance                 0.181   \n",
       "vtab/clevr_count_all                               0.195   \n",
       "vtab/diabetic_retinopathy                          0.207   \n",
       "vtab/dmlab                                         0.171   \n",
       "vtab/dsprites_label_orientation                    0.025   \n",
       "vtab/dsprites_label_x_position                     0.032   \n",
       "vtab/dtd                                           0.556   \n",
       "vtab/eurosat                                       0.631   \n",
       "vtab/flowers                                       0.786   \n",
       "vtab/kitti_closest_vehicle_distance                0.374   \n",
       "vtab/pcam                                          0.613   \n",
       "vtab/pets                                          0.937   \n",
       "vtab/resisc45                                      0.646   \n",
       "vtab/smallnorb_label_azimuth                       0.046   \n",
       "vtab/smallnorb_label_elevation                     0.113   \n",
       "vtab/svhn                                          0.559   \n",
       "\n",
       "model_fullname                       ViT-g-14 laion2b_s12b_b42k  \n",
       "dataset                                                          \n",
       "cars                                                      0.929  \n",
       "country211                                                0.288  \n",
       "fer2013                                                   0.481  \n",
       "fgvc_aircraft                                             0.378  \n",
       "gtsrb                                                     0.466  \n",
       "imagenet-a                                                0.564  \n",
       "imagenet-r                                                0.875  \n",
       "imagenet1k                                                0.767  \n",
       "imagenet_sketch                                           0.652  \n",
       "imagenetv2                                                0.696  \n",
       "mnist                                                     0.683  \n",
       "objectnet                                                 0.665  \n",
       "renderedsst2                                              0.646  \n",
       "stl10                                                     0.986  \n",
       "sun397                                                    0.752  \n",
       "voc2007                                                   0.858  \n",
       "vtab/caltech101                                           0.944  \n",
       "vtab/cifar10                                              0.971  \n",
       "vtab/cifar100                                             0.839  \n",
       "vtab/clevr_closest_object_distance                        0.227  \n",
       "vtab/clevr_count_all                                      0.319  \n",
       "vtab/diabetic_retinopathy                                 0.217  \n",
       "vtab/dmlab                                                0.173  \n",
       "vtab/dsprites_label_orientation                           0.030  \n",
       "vtab/dsprites_label_x_position                            0.036  \n",
       "vtab/dtd                                                  0.683  \n",
       "vtab/eurosat                                              0.645  \n",
       "vtab/flowers                                              0.781  \n",
       "vtab/kitti_closest_vehicle_distance                       0.182  \n",
       "vtab/pcam                                                 0.551  \n",
       "vtab/pets                                                 0.943  \n",
       "vtab/resisc45                                             0.726  \n",
       "vtab/smallnorb_label_azimuth                              0.060  \n",
       "vtab/smallnorb_label_elevation                            0.115  \n",
       "vtab/svhn                                                 0.568  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metric = \"mean_per_class_recall\"\n",
    "df_metric = pd.pivot(df, index=\"model_fullname\", columns=\"dataset\", values=metric).T.dropna()\n",
    "df_metric"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f9eb124-635a-4076-ae90-0199a862202c",
   "metadata": {},
   "source": [
    "### Imagenet robustness results (acc1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e1c11461-63a1-49e5-9199-d8be38ab8f09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>model_fullname</th>\n",
       "      <th>ViT-B-16 laion400m_e32</th>\n",
       "      <th>ViT-B-16 openai</th>\n",
       "      <th>ViT-B-16-plus-240 laion400m_e32</th>\n",
       "      <th>ViT-B-32 laion2b_e16</th>\n",
       "      <th>ViT-B-32 laion2b_s34b_b79k</th>\n",
       "      <th>ViT-B-32 openai</th>\n",
       "      <th>ViT-B-32-quickgelu laion400m_e32</th>\n",
       "      <th>ViT-H-14 laion2b_s32b_b79k</th>\n",
       "      <th>ViT-L-14 laion2b_s32b_b82k</th>\n",
       "      <th>ViT-L-14 laion400m_e32</th>\n",
       "      <th>ViT-L-14 openai</th>\n",
       "      <th>ViT-L-14-336 openai</th>\n",
       "      <th>ViT-g-14 laion2b_s12b_b42k</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dataset</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>imagenet-a</th>\n",
       "      <td>0.332</td>\n",
       "      <td>0.501</td>\n",
       "      <td>0.368</td>\n",
       "      <td>0.262</td>\n",
       "      <td>0.263</td>\n",
       "      <td>0.314</td>\n",
       "      <td>0.217</td>\n",
       "      <td>0.592</td>\n",
       "      <td>0.539</td>\n",
       "      <td>0.466</td>\n",
       "      <td>0.707</td>\n",
       "      <td>0.774</td>\n",
       "      <td>0.571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>imagenet-r</th>\n",
       "      <td>0.779</td>\n",
       "      <td>0.777</td>\n",
       "      <td>0.804</td>\n",
       "      <td>0.759</td>\n",
       "      <td>0.764</td>\n",
       "      <td>0.693</td>\n",
       "      <td>0.734</td>\n",
       "      <td>0.893</td>\n",
       "      <td>0.874</td>\n",
       "      <td>0.848</td>\n",
       "      <td>0.879</td>\n",
       "      <td>0.891</td>\n",
       "      <td>0.886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>imagenet1k</th>\n",
       "      <td>0.670</td>\n",
       "      <td>0.684</td>\n",
       "      <td>0.691</td>\n",
       "      <td>0.655</td>\n",
       "      <td>0.665</td>\n",
       "      <td>0.633</td>\n",
       "      <td>0.629</td>\n",
       "      <td>0.780</td>\n",
       "      <td>0.752</td>\n",
       "      <td>0.727</td>\n",
       "      <td>0.755</td>\n",
       "      <td>0.765</td>\n",
       "      <td>0.767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>imagenet_sketch</th>\n",
       "      <td>0.523</td>\n",
       "      <td>0.481</td>\n",
       "      <td>0.544</td>\n",
       "      <td>0.529</td>\n",
       "      <td>0.536</td>\n",
       "      <td>0.423</td>\n",
       "      <td>0.493</td>\n",
       "      <td>0.666</td>\n",
       "      <td>0.633</td>\n",
       "      <td>0.596</td>\n",
       "      <td>0.596</td>\n",
       "      <td>0.611</td>\n",
       "      <td>0.652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>imagenetv2</th>\n",
       "      <td>0.596</td>\n",
       "      <td>0.619</td>\n",
       "      <td>0.614</td>\n",
       "      <td>0.572</td>\n",
       "      <td>0.582</td>\n",
       "      <td>0.560</td>\n",
       "      <td>0.551</td>\n",
       "      <td>0.708</td>\n",
       "      <td>0.677</td>\n",
       "      <td>0.656</td>\n",
       "      <td>0.697</td>\n",
       "      <td>0.707</td>\n",
       "      <td>0.696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>objectnet</th>\n",
       "      <td>0.515</td>\n",
       "      <td>0.554</td>\n",
       "      <td>0.538</td>\n",
       "      <td>0.488</td>\n",
       "      <td>0.490</td>\n",
       "      <td>0.442</td>\n",
       "      <td>0.439</td>\n",
       "      <td>0.697</td>\n",
       "      <td>0.655</td>\n",
       "      <td>0.599</td>\n",
       "      <td>0.691</td>\n",
       "      <td>0.718</td>\n",
       "      <td>0.675</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "model_fullname   ViT-B-16 laion400m_e32  ViT-B-16 openai  \\\n",
       "dataset                                                    \n",
       "imagenet-a                        0.332            0.501   \n",
       "imagenet-r                        0.779            0.777   \n",
       "imagenet1k                        0.670            0.684   \n",
       "imagenet_sketch                   0.523            0.481   \n",
       "imagenetv2                        0.596            0.619   \n",
       "objectnet                         0.515            0.554   \n",
       "\n",
       "model_fullname   ViT-B-16-plus-240 laion400m_e32  ViT-B-32 laion2b_e16  \\\n",
       "dataset                                                                  \n",
       "imagenet-a                                 0.368                 0.262   \n",
       "imagenet-r                                 0.804                 0.759   \n",
       "imagenet1k                                 0.691                 0.655   \n",
       "imagenet_sketch                            0.544                 0.529   \n",
       "imagenetv2                                 0.614                 0.572   \n",
       "objectnet                                  0.538                 0.488   \n",
       "\n",
       "model_fullname   ViT-B-32 laion2b_s34b_b79k  ViT-B-32 openai  \\\n",
       "dataset                                                        \n",
       "imagenet-a                            0.263            0.314   \n",
       "imagenet-r                            0.764            0.693   \n",
       "imagenet1k                            0.665            0.633   \n",
       "imagenet_sketch                       0.536            0.423   \n",
       "imagenetv2                            0.582            0.560   \n",
       "objectnet                             0.490            0.442   \n",
       "\n",
       "model_fullname   ViT-B-32-quickgelu laion400m_e32  ViT-H-14 laion2b_s32b_b79k  \\\n",
       "dataset                                                                         \n",
       "imagenet-a                                  0.217                       0.592   \n",
       "imagenet-r                                  0.734                       0.893   \n",
       "imagenet1k                                  0.629                       0.780   \n",
       "imagenet_sketch                             0.493                       0.666   \n",
       "imagenetv2                                  0.551                       0.708   \n",
       "objectnet                                   0.439                       0.697   \n",
       "\n",
       "model_fullname   ViT-L-14 laion2b_s32b_b82k  ViT-L-14 laion400m_e32  \\\n",
       "dataset                                                               \n",
       "imagenet-a                            0.539                   0.466   \n",
       "imagenet-r                            0.874                   0.848   \n",
       "imagenet1k                            0.752                   0.727   \n",
       "imagenet_sketch                       0.633                   0.596   \n",
       "imagenetv2                            0.677                   0.656   \n",
       "objectnet                             0.655                   0.599   \n",
       "\n",
       "model_fullname   ViT-L-14 openai  ViT-L-14-336 openai  \\\n",
       "dataset                                                 \n",
       "imagenet-a                 0.707                0.774   \n",
       "imagenet-r                 0.879                0.891   \n",
       "imagenet1k                 0.755                0.765   \n",
       "imagenet_sketch            0.596                0.611   \n",
       "imagenetv2                 0.697                0.707   \n",
       "objectnet                  0.691                0.718   \n",
       "\n",
       "model_fullname   ViT-g-14 laion2b_s12b_b42k  \n",
       "dataset                                      \n",
       "imagenet-a                            0.571  \n",
       "imagenet-r                            0.886  \n",
       "imagenet1k                            0.767  \n",
       "imagenet_sketch                       0.652  \n",
       "imagenetv2                            0.696  \n",
       "objectnet                             0.675  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Imagenet robustness results\n",
    "metric = \"acc1\"\n",
    "df_metric = pd.pivot(df, index=\"model_fullname\", columns=\"dataset\", values=metric).T.dropna()\n",
    "df_metric[(df_metric.index.str.startswith(\"imagenet\")) | (df_metric.index==\"objectnet\")]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "36d7adac-b3b1-4421-af4f-f7d820592e11",
   "metadata": {},
   "source": [
    "# Robustness plot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec10d993-7934-476b-94d7-8cde3fedc9ee",
   "metadata": {},
   "source": [
    "Here, following \"Measuring Robustness to Natural Distribution Shifts\n",
    "in Image Classification\" (https://arxiv.org/pdf/2007.00644.pdf, https://share.streamlit.io/modestyachts/imagenet-testbed-website/main/website.py),\n",
    "we show  the deviation from the line fit of (x=imagenet1k accuracy, y=imagenetv2/imagenet-1/imagenet_sketch) which was used\n",
    "to measure robustnest improvements separately from accuracy improvements in imagenet1k, as the two are correlated.\n",
    "\n",
    "In the plot below, deviation from the line are improvements in robustness."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3fa79a28-b555-45d2-950d-efa415084004",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'imagenetv2 top-1 accuracy (%)')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 700x500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7, 5),dpi=100)\n",
    "df_metric = pd.pivot(df, index=\"model_fullname\", columns=\"dataset\", values=\"acc1\").T.dropna()\n",
    "dataset = \"imagenetv2\"\n",
    "line_fits_data = {\n",
    "    # slopes and intercepts from https://share.streamlit.io/modestyachts/imagenet-testbed-website/main/website.py\n",
    "    \"imagenetv2\": (1.112, -20.433),\n",
    "    \"imagenet-r\": (1.549, -104.556),\n",
    "    \"imagenet_sketch\": (0.931, -45.373)\n",
    "}\n",
    "x=np.linspace(0, 100,100)\n",
    "slope, intercept = line_fits_data[dataset]\n",
    "y=x*slope+intercept\n",
    "plt.xlim(55,90)\n",
    "plt.ylim(40,90)\n",
    "d = df_metric.T[[\"imagenet1k\", dataset]]*100\n",
    "plt.scatter(d[\"imagenet1k\"], d[dataset], color=\"green\")\n",
    "plt.plot(x,y, color=\"red\")\n",
    "plt.xlabel(\"imagenet1k top-1 accuracy (%)\")\n",
    "plt.ylabel(f\"{dataset} top-1 accuracy (%)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f52c332-cf8f-4aa4-b47b-7f58078f25f9",
   "metadata": {},
   "source": [
    "### All results (mean_per_class_recall)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f81989e8-e234-40dc-9889-5e2713e178b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>model_fullname</th>\n",
       "      <th>ViT-B-16 laion400m_e32</th>\n",
       "      <th>ViT-B-16 openai</th>\n",
       "      <th>ViT-B-16-plus-240 laion400m_e32</th>\n",
       "      <th>ViT-B-32 laion2b_e16</th>\n",
       "      <th>ViT-B-32 laion2b_s34b_b79k</th>\n",
       "      <th>ViT-B-32 openai</th>\n",
       "      <th>ViT-B-32-quickgelu laion400m_e32</th>\n",
       "      <th>ViT-H-14 laion2b_s32b_b79k</th>\n",
       "      <th>ViT-L-14 laion2b_s32b_b82k</th>\n",
       "      <th>ViT-L-14 laion400m_e32</th>\n",
       "      <th>ViT-L-14 openai</th>\n",
       "      <th>ViT-L-14-336 openai</th>\n",
       "      <th>ViT-g-14 laion2b_s12b_b42k</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dataset</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>cars</th>\n",
       "      <td>0.838</td>\n",
       "      <td>0.647</td>\n",
       "      <td>0.846</td>\n",
       "      <td>0.844</td>\n",
       "      <td>0.862</td>\n",
       "      <td>0.597</td>\n",
       "      <td>0.793</td>\n",
       "      <td>0.935</td>\n",
       "      <td>0.926</td>\n",
       "      <td>0.896</td>\n",
       "      <td>0.777</td>\n",
       "      <td>0.793</td>\n",
       "      <td>0.929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>country211</th>\n",
       "      <td>0.182</td>\n",
       "      <td>0.228</td>\n",
       "      <td>0.188</td>\n",
       "      <td>0.164</td>\n",
       "      <td>0.167</td>\n",
       "      <td>0.171</td>\n",
       "      <td>0.147</td>\n",
       "      <td>0.299</td>\n",
       "      <td>0.263</td>\n",
       "      <td>0.231</td>\n",
       "      <td>0.318</td>\n",
       "      <td>0.345</td>\n",
       "      <td>0.288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fer2013</th>\n",
       "      <td>0.392</td>\n",
       "      <td>0.417</td>\n",
       "      <td>0.394</td>\n",
       "      <td>0.465</td>\n",
       "      <td>0.433</td>\n",
       "      <td>0.359</td>\n",
       "      <td>0.399</td>\n",
       "      <td>0.506</td>\n",
       "      <td>0.534</td>\n",
       "      <td>0.450</td>\n",
       "      <td>0.489</td>\n",
       "      <td>0.491</td>\n",
       "      <td>0.481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fgvc_aircraft</th>\n",
       "      <td>0.175</td>\n",
       "      <td>0.241</td>\n",
       "      <td>0.188</td>\n",
       "      <td>0.232</td>\n",
       "      <td>0.246</td>\n",
       "      <td>0.197</td>\n",
       "      <td>0.166</td>\n",
       "      <td>0.426</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.248</td>\n",
       "      <td>0.317</td>\n",
       "      <td>0.332</td>\n",
       "      <td>0.378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gtsrb</th>\n",
       "      <td>0.401</td>\n",
       "      <td>0.370</td>\n",
       "      <td>0.432</td>\n",
       "      <td>0.351</td>\n",
       "      <td>0.435</td>\n",
       "      <td>0.320</td>\n",
       "      <td>0.393</td>\n",
       "      <td>0.544</td>\n",
       "      <td>0.517</td>\n",
       "      <td>0.450</td>\n",
       "      <td>0.439</td>\n",
       "      <td>0.447</td>\n",
       "      <td>0.466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>imagenet-a</th>\n",
       "      <td>0.341</td>\n",
       "      <td>0.483</td>\n",
       "      <td>0.381</td>\n",
       "      <td>0.284</td>\n",
       "      <td>0.279</td>\n",
       "      <td>0.324</td>\n",
       "      <td>0.235</td>\n",
       "      <td>0.581</td>\n",
       "      <td>0.536</td>\n",
       "      <td>0.473</td>\n",
       "      <td>0.675</td>\n",
       "      <td>0.735</td>\n",
       "      <td>0.564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>imagenet-r</th>\n",
       "      <td>0.764</td>\n",
       "      <td>0.761</td>\n",
       "      <td>0.791</td>\n",
       "      <td>0.744</td>\n",
       "      <td>0.752</td>\n",
       "      <td>0.679</td>\n",
       "      <td>0.721</td>\n",
       "      <td>0.880</td>\n",
       "      <td>0.860</td>\n",
       "      <td>0.833</td>\n",
       "      <td>0.865</td>\n",
       "      <td>0.878</td>\n",
       "      <td>0.875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>imagenet1k</th>\n",
       "      <td>0.670</td>\n",
       "      <td>0.684</td>\n",
       "      <td>0.692</td>\n",
       "      <td>0.656</td>\n",
       "      <td>0.665</td>\n",
       "      <td>0.633</td>\n",
       "      <td>0.629</td>\n",
       "      <td>0.780</td>\n",
       "      <td>0.753</td>\n",
       "      <td>0.727</td>\n",
       "      <td>0.754</td>\n",
       "      <td>0.766</td>\n",
       "      <td>0.767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>imagenet_sketch</th>\n",
       "      <td>0.523</td>\n",
       "      <td>0.482</td>\n",
       "      <td>0.545</td>\n",
       "      <td>0.529</td>\n",
       "      <td>0.537</td>\n",
       "      <td>0.423</td>\n",
       "      <td>0.494</td>\n",
       "      <td>0.666</td>\n",
       "      <td>0.633</td>\n",
       "      <td>0.596</td>\n",
       "      <td>0.596</td>\n",
       "      <td>0.610</td>\n",
       "      <td>0.652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>imagenetv2</th>\n",
       "      <td>0.596</td>\n",
       "      <td>0.620</td>\n",
       "      <td>0.615</td>\n",
       "      <td>0.572</td>\n",
       "      <td>0.582</td>\n",
       "      <td>0.560</td>\n",
       "      <td>0.551</td>\n",
       "      <td>0.709</td>\n",
       "      <td>0.678</td>\n",
       "      <td>0.654</td>\n",
       "      <td>0.697</td>\n",
       "      <td>0.708</td>\n",
       "      <td>0.696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mnist</th>\n",
       "      <td>0.667</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.568</td>\n",
       "      <td>0.628</td>\n",
       "      <td>0.688</td>\n",
       "      <td>0.458</td>\n",
       "      <td>0.371</td>\n",
       "      <td>0.733</td>\n",
       "      <td>0.543</td>\n",
       "      <td>0.759</td>\n",
       "      <td>0.758</td>\n",
       "      <td>0.778</td>\n",
       "      <td>0.683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>objectnet</th>\n",
       "      <td>0.502</td>\n",
       "      <td>0.536</td>\n",
       "      <td>0.527</td>\n",
       "      <td>0.475</td>\n",
       "      <td>0.482</td>\n",
       "      <td>0.427</td>\n",
       "      <td>0.427</td>\n",
       "      <td>0.685</td>\n",
       "      <td>0.643</td>\n",
       "      <td>0.586</td>\n",
       "      <td>0.674</td>\n",
       "      <td>0.701</td>\n",
       "      <td>0.665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>renderedsst2</th>\n",
       "      <td>0.546</td>\n",
       "      <td>0.611</td>\n",
       "      <td>0.579</td>\n",
       "      <td>0.537</td>\n",
       "      <td>0.566</td>\n",
       "      <td>0.590</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.641</td>\n",
       "      <td>0.593</td>\n",
       "      <td>0.564</td>\n",
       "      <td>0.699</td>\n",
       "      <td>0.707</td>\n",
       "      <td>0.646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stl10</th>\n",
       "      <td>0.970</td>\n",
       "      <td>0.983</td>\n",
       "      <td>0.970</td>\n",
       "      <td>0.965</td>\n",
       "      <td>0.967</td>\n",
       "      <td>0.972</td>\n",
       "      <td>0.955</td>\n",
       "      <td>0.985</td>\n",
       "      <td>0.989</td>\n",
       "      <td>0.981</td>\n",
       "      <td>0.994</td>\n",
       "      <td>0.995</td>\n",
       "      <td>0.986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sun397</th>\n",
       "      <td>0.680</td>\n",
       "      <td>0.653</td>\n",
       "      <td>0.685</td>\n",
       "      <td>0.678</td>\n",
       "      <td>0.685</td>\n",
       "      <td>0.635</td>\n",
       "      <td>0.661</td>\n",
       "      <td>0.751</td>\n",
       "      <td>0.735</td>\n",
       "      <td>0.713</td>\n",
       "      <td>0.682</td>\n",
       "      <td>0.692</td>\n",
       "      <td>0.752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>voc2007</th>\n",
       "      <td>0.804</td>\n",
       "      <td>0.835</td>\n",
       "      <td>0.816</td>\n",
       "      <td>0.805</td>\n",
       "      <td>0.805</td>\n",
       "      <td>0.807</td>\n",
       "      <td>0.791</td>\n",
       "      <td>0.851</td>\n",
       "      <td>0.849</td>\n",
       "      <td>0.831</td>\n",
       "      <td>0.864</td>\n",
       "      <td>0.863</td>\n",
       "      <td>0.858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/caltech101</th>\n",
       "      <td>0.901</td>\n",
       "      <td>0.909</td>\n",
       "      <td>0.918</td>\n",
       "      <td>0.903</td>\n",
       "      <td>0.909</td>\n",
       "      <td>0.879</td>\n",
       "      <td>0.909</td>\n",
       "      <td>0.944</td>\n",
       "      <td>0.939</td>\n",
       "      <td>0.934</td>\n",
       "      <td>0.933</td>\n",
       "      <td>0.933</td>\n",
       "      <td>0.944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/cifar10</th>\n",
       "      <td>0.917</td>\n",
       "      <td>0.908</td>\n",
       "      <td>0.927</td>\n",
       "      <td>0.941</td>\n",
       "      <td>0.936</td>\n",
       "      <td>0.900</td>\n",
       "      <td>0.908</td>\n",
       "      <td>0.974</td>\n",
       "      <td>0.967</td>\n",
       "      <td>0.947</td>\n",
       "      <td>0.957</td>\n",
       "      <td>0.950</td>\n",
       "      <td>0.971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/cifar100</th>\n",
       "      <td>0.711</td>\n",
       "      <td>0.669</td>\n",
       "      <td>0.737</td>\n",
       "      <td>0.753</td>\n",
       "      <td>0.755</td>\n",
       "      <td>0.645</td>\n",
       "      <td>0.703</td>\n",
       "      <td>0.847</td>\n",
       "      <td>0.833</td>\n",
       "      <td>0.774</td>\n",
       "      <td>0.761</td>\n",
       "      <td>0.747</td>\n",
       "      <td>0.839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/clevr_closest_object_distance</th>\n",
       "      <td>0.167</td>\n",
       "      <td>0.168</td>\n",
       "      <td>0.170</td>\n",
       "      <td>0.183</td>\n",
       "      <td>0.139</td>\n",
       "      <td>0.162</td>\n",
       "      <td>0.167</td>\n",
       "      <td>0.195</td>\n",
       "      <td>0.174</td>\n",
       "      <td>0.144</td>\n",
       "      <td>0.177</td>\n",
       "      <td>0.181</td>\n",
       "      <td>0.227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/clevr_count_all</th>\n",
       "      <td>0.282</td>\n",
       "      <td>0.215</td>\n",
       "      <td>0.233</td>\n",
       "      <td>0.182</td>\n",
       "      <td>0.150</td>\n",
       "      <td>0.220</td>\n",
       "      <td>0.158</td>\n",
       "      <td>0.256</td>\n",
       "      <td>0.307</td>\n",
       "      <td>0.231</td>\n",
       "      <td>0.187</td>\n",
       "      <td>0.195</td>\n",
       "      <td>0.319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/diabetic_retinopathy</th>\n",
       "      <td>0.252</td>\n",
       "      <td>0.211</td>\n",
       "      <td>0.231</td>\n",
       "      <td>0.221</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.219</td>\n",
       "      <td>0.259</td>\n",
       "      <td>0.233</td>\n",
       "      <td>0.234</td>\n",
       "      <td>0.220</td>\n",
       "      <td>0.206</td>\n",
       "      <td>0.207</td>\n",
       "      <td>0.217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/dmlab</th>\n",
       "      <td>0.172</td>\n",
       "      <td>0.170</td>\n",
       "      <td>0.148</td>\n",
       "      <td>0.168</td>\n",
       "      <td>0.166</td>\n",
       "      <td>0.164</td>\n",
       "      <td>0.158</td>\n",
       "      <td>0.166</td>\n",
       "      <td>0.182</td>\n",
       "      <td>0.193</td>\n",
       "      <td>0.178</td>\n",
       "      <td>0.171</td>\n",
       "      <td>0.173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/dsprites_label_orientation</th>\n",
       "      <td>0.033</td>\n",
       "      <td>0.018</td>\n",
       "      <td>0.026</td>\n",
       "      <td>0.025</td>\n",
       "      <td>0.034</td>\n",
       "      <td>0.022</td>\n",
       "      <td>0.020</td>\n",
       "      <td>0.027</td>\n",
       "      <td>0.022</td>\n",
       "      <td>0.026</td>\n",
       "      <td>0.024</td>\n",
       "      <td>0.025</td>\n",
       "      <td>0.030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/dsprites_label_x_position</th>\n",
       "      <td>0.032</td>\n",
       "      <td>0.029</td>\n",
       "      <td>0.043</td>\n",
       "      <td>0.031</td>\n",
       "      <td>0.030</td>\n",
       "      <td>0.034</td>\n",
       "      <td>0.031</td>\n",
       "      <td>0.031</td>\n",
       "      <td>0.032</td>\n",
       "      <td>0.031</td>\n",
       "      <td>0.032</td>\n",
       "      <td>0.032</td>\n",
       "      <td>0.036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/dtd</th>\n",
       "      <td>0.510</td>\n",
       "      <td>0.449</td>\n",
       "      <td>0.554</td>\n",
       "      <td>0.537</td>\n",
       "      <td>0.562</td>\n",
       "      <td>0.443</td>\n",
       "      <td>0.547</td>\n",
       "      <td>0.681</td>\n",
       "      <td>0.632</td>\n",
       "      <td>0.604</td>\n",
       "      <td>0.550</td>\n",
       "      <td>0.556</td>\n",
       "      <td>0.683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/eurosat</th>\n",
       "      <td>0.511</td>\n",
       "      <td>0.547</td>\n",
       "      <td>0.589</td>\n",
       "      <td>0.511</td>\n",
       "      <td>0.494</td>\n",
       "      <td>0.490</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.720</td>\n",
       "      <td>0.664</td>\n",
       "      <td>0.630</td>\n",
       "      <td>0.638</td>\n",
       "      <td>0.631</td>\n",
       "      <td>0.645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/flowers</th>\n",
       "      <td>0.667</td>\n",
       "      <td>0.691</td>\n",
       "      <td>0.686</td>\n",
       "      <td>0.673</td>\n",
       "      <td>0.700</td>\n",
       "      <td>0.665</td>\n",
       "      <td>0.663</td>\n",
       "      <td>0.799</td>\n",
       "      <td>0.746</td>\n",
       "      <td>0.726</td>\n",
       "      <td>0.793</td>\n",
       "      <td>0.786</td>\n",
       "      <td>0.781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/kitti_closest_vehicle_distance</th>\n",
       "      <td>0.257</td>\n",
       "      <td>0.352</td>\n",
       "      <td>0.408</td>\n",
       "      <td>0.325</td>\n",
       "      <td>0.340</td>\n",
       "      <td>0.406</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.272</td>\n",
       "      <td>0.308</td>\n",
       "      <td>0.179</td>\n",
       "      <td>0.372</td>\n",
       "      <td>0.374</td>\n",
       "      <td>0.182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/pcam</th>\n",
       "      <td>0.605</td>\n",
       "      <td>0.506</td>\n",
       "      <td>0.544</td>\n",
       "      <td>0.504</td>\n",
       "      <td>0.586</td>\n",
       "      <td>0.622</td>\n",
       "      <td>0.546</td>\n",
       "      <td>0.536</td>\n",
       "      <td>0.553</td>\n",
       "      <td>0.486</td>\n",
       "      <td>0.516</td>\n",
       "      <td>0.613</td>\n",
       "      <td>0.551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/pets</th>\n",
       "      <td>0.892</td>\n",
       "      <td>0.885</td>\n",
       "      <td>0.904</td>\n",
       "      <td>0.891</td>\n",
       "      <td>0.907</td>\n",
       "      <td>0.870</td>\n",
       "      <td>0.866</td>\n",
       "      <td>0.943</td>\n",
       "      <td>0.931</td>\n",
       "      <td>0.916</td>\n",
       "      <td>0.933</td>\n",
       "      <td>0.937</td>\n",
       "      <td>0.943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/resisc45</th>\n",
       "      <td>0.593</td>\n",
       "      <td>0.592</td>\n",
       "      <td>0.615</td>\n",
       "      <td>0.624</td>\n",
       "      <td>0.615</td>\n",
       "      <td>0.542</td>\n",
       "      <td>0.554</td>\n",
       "      <td>0.706</td>\n",
       "      <td>0.676</td>\n",
       "      <td>0.678</td>\n",
       "      <td>0.642</td>\n",
       "      <td>0.646</td>\n",
       "      <td>0.726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/smallnorb_label_azimuth</th>\n",
       "      <td>0.060</td>\n",
       "      <td>0.052</td>\n",
       "      <td>0.055</td>\n",
       "      <td>0.054</td>\n",
       "      <td>0.063</td>\n",
       "      <td>0.063</td>\n",
       "      <td>0.045</td>\n",
       "      <td>0.056</td>\n",
       "      <td>0.057</td>\n",
       "      <td>0.053</td>\n",
       "      <td>0.046</td>\n",
       "      <td>0.046</td>\n",
       "      <td>0.060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/smallnorb_label_elevation</th>\n",
       "      <td>0.098</td>\n",
       "      <td>0.118</td>\n",
       "      <td>0.109</td>\n",
       "      <td>0.109</td>\n",
       "      <td>0.116</td>\n",
       "      <td>0.121</td>\n",
       "      <td>0.097</td>\n",
       "      <td>0.110</td>\n",
       "      <td>0.110</td>\n",
       "      <td>0.108</td>\n",
       "      <td>0.114</td>\n",
       "      <td>0.113</td>\n",
       "      <td>0.115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vtab/svhn</th>\n",
       "      <td>0.369</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.403</td>\n",
       "      <td>0.379</td>\n",
       "      <td>0.422</td>\n",
       "      <td>0.133</td>\n",
       "      <td>0.280</td>\n",
       "      <td>0.557</td>\n",
       "      <td>0.487</td>\n",
       "      <td>0.406</td>\n",
       "      <td>0.589</td>\n",
       "      <td>0.559</td>\n",
       "      <td>0.568</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "model_fullname                       ViT-B-16 laion400m_e32  ViT-B-16 openai  \\\n",
       "dataset                                                                        \n",
       "cars                                                  0.838            0.647   \n",
       "country211                                            0.182            0.228   \n",
       "fer2013                                               0.392            0.417   \n",
       "fgvc_aircraft                                         0.175            0.241   \n",
       "gtsrb                                                 0.401            0.370   \n",
       "imagenet-a                                            0.341            0.483   \n",
       "imagenet-r                                            0.764            0.761   \n",
       "imagenet1k                                            0.670            0.684   \n",
       "imagenet_sketch                                       0.523            0.482   \n",
       "imagenetv2                                            0.596            0.620   \n",
       "mnist                                                 0.667            0.526   \n",
       "objectnet                                             0.502            0.536   \n",
       "renderedsst2                                          0.546            0.611   \n",
       "stl10                                                 0.970            0.983   \n",
       "sun397                                                0.680            0.653   \n",
       "voc2007                                               0.804            0.835   \n",
       "vtab/caltech101                                       0.901            0.909   \n",
       "vtab/cifar10                                          0.917            0.908   \n",
       "vtab/cifar100                                         0.711            0.669   \n",
       "vtab/clevr_closest_object_distance                    0.167            0.168   \n",
       "vtab/clevr_count_all                                  0.282            0.215   \n",
       "vtab/diabetic_retinopathy                             0.252            0.211   \n",
       "vtab/dmlab                                            0.172            0.170   \n",
       "vtab/dsprites_label_orientation                       0.033            0.018   \n",
       "vtab/dsprites_label_x_position                        0.032            0.029   \n",
       "vtab/dtd                                              0.510            0.449   \n",
       "vtab/eurosat                                          0.511            0.547   \n",
       "vtab/flowers                                          0.667            0.691   \n",
       "vtab/kitti_closest_vehicle_distance                   0.257            0.352   \n",
       "vtab/pcam                                             0.605            0.506   \n",
       "vtab/pets                                             0.892            0.885   \n",
       "vtab/resisc45                                         0.593            0.592   \n",
       "vtab/smallnorb_label_azimuth                          0.060            0.052   \n",
       "vtab/smallnorb_label_elevation                        0.098            0.118   \n",
       "vtab/svhn                                             0.369            0.350   \n",
       "\n",
       "model_fullname                       ViT-B-16-plus-240 laion400m_e32  \\\n",
       "dataset                                                                \n",
       "cars                                                           0.846   \n",
       "country211                                                     0.188   \n",
       "fer2013                                                        0.394   \n",
       "fgvc_aircraft                                                  0.188   \n",
       "gtsrb                                                          0.432   \n",
       "imagenet-a                                                     0.381   \n",
       "imagenet-r                                                     0.791   \n",
       "imagenet1k                                                     0.692   \n",
       "imagenet_sketch                                                0.545   \n",
       "imagenetv2                                                     0.615   \n",
       "mnist                                                          0.568   \n",
       "objectnet                                                      0.527   \n",
       "renderedsst2                                                   0.579   \n",
       "stl10                                                          0.970   \n",
       "sun397                                                         0.685   \n",
       "voc2007                                                        0.816   \n",
       "vtab/caltech101                                                0.918   \n",
       "vtab/cifar10                                                   0.927   \n",
       "vtab/cifar100                                                  0.737   \n",
       "vtab/clevr_closest_object_distance                             0.170   \n",
       "vtab/clevr_count_all                                           0.233   \n",
       "vtab/diabetic_retinopathy                                      0.231   \n",
       "vtab/dmlab                                                     0.148   \n",
       "vtab/dsprites_label_orientation                                0.026   \n",
       "vtab/dsprites_label_x_position                                 0.043   \n",
       "vtab/dtd                                                       0.554   \n",
       "vtab/eurosat                                                   0.589   \n",
       "vtab/flowers                                                   0.686   \n",
       "vtab/kitti_closest_vehicle_distance                            0.408   \n",
       "vtab/pcam                                                      0.544   \n",
       "vtab/pets                                                      0.904   \n",
       "vtab/resisc45                                                  0.615   \n",
       "vtab/smallnorb_label_azimuth                                   0.055   \n",
       "vtab/smallnorb_label_elevation                                 0.109   \n",
       "vtab/svhn                                                      0.403   \n",
       "\n",
       "model_fullname                       ViT-B-32 laion2b_e16  \\\n",
       "dataset                                                     \n",
       "cars                                                0.844   \n",
       "country211                                          0.164   \n",
       "fer2013                                             0.465   \n",
       "fgvc_aircraft                                       0.232   \n",
       "gtsrb                                               0.351   \n",
       "imagenet-a                                          0.284   \n",
       "imagenet-r                                          0.744   \n",
       "imagenet1k                                          0.656   \n",
       "imagenet_sketch                                     0.529   \n",
       "imagenetv2                                          0.572   \n",
       "mnist                                               0.628   \n",
       "objectnet                                           0.475   \n",
       "renderedsst2                                        0.537   \n",
       "stl10                                               0.965   \n",
       "sun397                                              0.678   \n",
       "voc2007                                             0.805   \n",
       "vtab/caltech101                                     0.903   \n",
       "vtab/cifar10                                        0.941   \n",
       "vtab/cifar100                                       0.753   \n",
       "vtab/clevr_closest_object_distance                  0.183   \n",
       "vtab/clevr_count_all                                0.182   \n",
       "vtab/diabetic_retinopathy                           0.221   \n",
       "vtab/dmlab                                          0.168   \n",
       "vtab/dsprites_label_orientation                     0.025   \n",
       "vtab/dsprites_label_x_position                      0.031   \n",
       "vtab/dtd                                            0.537   \n",
       "vtab/eurosat                                        0.511   \n",
       "vtab/flowers                                        0.673   \n",
       "vtab/kitti_closest_vehicle_distance                 0.325   \n",
       "vtab/pcam                                           0.504   \n",
       "vtab/pets                                           0.891   \n",
       "vtab/resisc45                                       0.624   \n",
       "vtab/smallnorb_label_azimuth                        0.054   \n",
       "vtab/smallnorb_label_elevation                      0.109   \n",
       "vtab/svhn                                           0.379   \n",
       "\n",
       "model_fullname                       ViT-B-32 laion2b_s34b_b79k  \\\n",
       "dataset                                                           \n",
       "cars                                                      0.862   \n",
       "country211                                                0.167   \n",
       "fer2013                                                   0.433   \n",
       "fgvc_aircraft                                             0.246   \n",
       "gtsrb                                                     0.435   \n",
       "imagenet-a                                                0.279   \n",
       "imagenet-r                                                0.752   \n",
       "imagenet1k                                                0.665   \n",
       "imagenet_sketch                                           0.537   \n",
       "imagenetv2                                                0.582   \n",
       "mnist                                                     0.688   \n",
       "objectnet                                                 0.482   \n",
       "renderedsst2                                              0.566   \n",
       "stl10                                                     0.967   \n",
       "sun397                                                    0.685   \n",
       "voc2007                                                   0.805   \n",
       "vtab/caltech101                                           0.909   \n",
       "vtab/cifar10                                              0.936   \n",
       "vtab/cifar100                                             0.755   \n",
       "vtab/clevr_closest_object_distance                        0.139   \n",
       "vtab/clevr_count_all                                      0.150   \n",
       "vtab/diabetic_retinopathy                                 0.200   \n",
       "vtab/dmlab                                                0.166   \n",
       "vtab/dsprites_label_orientation                           0.034   \n",
       "vtab/dsprites_label_x_position                            0.030   \n",
       "vtab/dtd                                                  0.562   \n",
       "vtab/eurosat                                              0.494   \n",
       "vtab/flowers                                              0.700   \n",
       "vtab/kitti_closest_vehicle_distance                       0.340   \n",
       "vtab/pcam                                                 0.586   \n",
       "vtab/pets                                                 0.907   \n",
       "vtab/resisc45                                             0.615   \n",
       "vtab/smallnorb_label_azimuth                              0.063   \n",
       "vtab/smallnorb_label_elevation                            0.116   \n",
       "vtab/svhn                                                 0.422   \n",
       "\n",
       "model_fullname                       ViT-B-32 openai  \\\n",
       "dataset                                                \n",
       "cars                                           0.597   \n",
       "country211                                     0.171   \n",
       "fer2013                                        0.359   \n",
       "fgvc_aircraft                                  0.197   \n",
       "gtsrb                                          0.320   \n",
       "imagenet-a                                     0.324   \n",
       "imagenet-r                                     0.679   \n",
       "imagenet1k                                     0.633   \n",
       "imagenet_sketch                                0.423   \n",
       "imagenetv2                                     0.560   \n",
       "mnist                                          0.458   \n",
       "objectnet                                      0.427   \n",
       "renderedsst2                                   0.590   \n",
       "stl10                                          0.972   \n",
       "sun397                                         0.635   \n",
       "voc2007                                        0.807   \n",
       "vtab/caltech101                                0.879   \n",
       "vtab/cifar10                                   0.900   \n",
       "vtab/cifar100                                  0.645   \n",
       "vtab/clevr_closest_object_distance             0.162   \n",
       "vtab/clevr_count_all                           0.220   \n",
       "vtab/diabetic_retinopathy                      0.219   \n",
       "vtab/dmlab                                     0.164   \n",
       "vtab/dsprites_label_orientation                0.022   \n",
       "vtab/dsprites_label_x_position                 0.034   \n",
       "vtab/dtd                                       0.443   \n",
       "vtab/eurosat                                   0.490   \n",
       "vtab/flowers                                   0.665   \n",
       "vtab/kitti_closest_vehicle_distance            0.406   \n",
       "vtab/pcam                                      0.622   \n",
       "vtab/pets                                      0.870   \n",
       "vtab/resisc45                                  0.542   \n",
       "vtab/smallnorb_label_azimuth                   0.063   \n",
       "vtab/smallnorb_label_elevation                 0.121   \n",
       "vtab/svhn                                      0.133   \n",
       "\n",
       "model_fullname                       ViT-B-32-quickgelu laion400m_e32  \\\n",
       "dataset                                                                 \n",
       "cars                                                            0.793   \n",
       "country211                                                      0.147   \n",
       "fer2013                                                         0.399   \n",
       "fgvc_aircraft                                                   0.166   \n",
       "gtsrb                                                           0.393   \n",
       "imagenet-a                                                      0.235   \n",
       "imagenet-r                                                      0.721   \n",
       "imagenet1k                                                      0.629   \n",
       "imagenet_sketch                                                 0.494   \n",
       "imagenetv2                                                      0.551   \n",
       "mnist                                                           0.371   \n",
       "objectnet                                                       0.427   \n",
       "renderedsst2                                                    0.526   \n",
       "stl10                                                           0.955   \n",
       "sun397                                                          0.661   \n",
       "voc2007                                                         0.791   \n",
       "vtab/caltech101                                                 0.909   \n",
       "vtab/cifar10                                                    0.908   \n",
       "vtab/cifar100                                                   0.703   \n",
       "vtab/clevr_closest_object_distance                              0.167   \n",
       "vtab/clevr_count_all                                            0.158   \n",
       "vtab/diabetic_retinopathy                                       0.259   \n",
       "vtab/dmlab                                                      0.158   \n",
       "vtab/dsprites_label_orientation                                 0.020   \n",
       "vtab/dsprites_label_x_position                                  0.031   \n",
       "vtab/dtd                                                        0.547   \n",
       "vtab/eurosat                                                    0.526   \n",
       "vtab/flowers                                                    0.663   \n",
       "vtab/kitti_closest_vehicle_distance                             0.365   \n",
       "vtab/pcam                                                       0.546   \n",
       "vtab/pets                                                       0.866   \n",
       "vtab/resisc45                                                   0.554   \n",
       "vtab/smallnorb_label_azimuth                                    0.045   \n",
       "vtab/smallnorb_label_elevation                                  0.097   \n",
       "vtab/svhn                                                       0.280   \n",
       "\n",
       "model_fullname                       ViT-H-14 laion2b_s32b_b79k  \\\n",
       "dataset                                                           \n",
       "cars                                                      0.935   \n",
       "country211                                                0.299   \n",
       "fer2013                                                   0.506   \n",
       "fgvc_aircraft                                             0.426   \n",
       "gtsrb                                                     0.544   \n",
       "imagenet-a                                                0.581   \n",
       "imagenet-r                                                0.880   \n",
       "imagenet1k                                                0.780   \n",
       "imagenet_sketch                                           0.666   \n",
       "imagenetv2                                                0.709   \n",
       "mnist                                                     0.733   \n",
       "objectnet                                                 0.685   \n",
       "renderedsst2                                              0.641   \n",
       "stl10                                                     0.985   \n",
       "sun397                                                    0.751   \n",
       "voc2007                                                   0.851   \n",
       "vtab/caltech101                                           0.944   \n",
       "vtab/cifar10                                              0.974   \n",
       "vtab/cifar100                                             0.847   \n",
       "vtab/clevr_closest_object_distance                        0.195   \n",
       "vtab/clevr_count_all                                      0.256   \n",
       "vtab/diabetic_retinopathy                                 0.233   \n",
       "vtab/dmlab                                                0.166   \n",
       "vtab/dsprites_label_orientation                           0.027   \n",
       "vtab/dsprites_label_x_position                            0.031   \n",
       "vtab/dtd                                                  0.681   \n",
       "vtab/eurosat                                              0.720   \n",
       "vtab/flowers                                              0.799   \n",
       "vtab/kitti_closest_vehicle_distance                       0.272   \n",
       "vtab/pcam                                                 0.536   \n",
       "vtab/pets                                                 0.943   \n",
       "vtab/resisc45                                             0.706   \n",
       "vtab/smallnorb_label_azimuth                              0.056   \n",
       "vtab/smallnorb_label_elevation                            0.110   \n",
       "vtab/svhn                                                 0.557   \n",
       "\n",
       "model_fullname                       ViT-L-14 laion2b_s32b_b82k  \\\n",
       "dataset                                                           \n",
       "cars                                                      0.926   \n",
       "country211                                                0.263   \n",
       "fer2013                                                   0.534   \n",
       "fgvc_aircraft                                             0.365   \n",
       "gtsrb                                                     0.517   \n",
       "imagenet-a                                                0.536   \n",
       "imagenet-r                                                0.860   \n",
       "imagenet1k                                                0.753   \n",
       "imagenet_sketch                                           0.633   \n",
       "imagenetv2                                                0.678   \n",
       "mnist                                                     0.543   \n",
       "objectnet                                                 0.643   \n",
       "renderedsst2                                              0.593   \n",
       "stl10                                                     0.989   \n",
       "sun397                                                    0.735   \n",
       "voc2007                                                   0.849   \n",
       "vtab/caltech101                                           0.939   \n",
       "vtab/cifar10                                              0.967   \n",
       "vtab/cifar100                                             0.833   \n",
       "vtab/clevr_closest_object_distance                        0.174   \n",
       "vtab/clevr_count_all                                      0.307   \n",
       "vtab/diabetic_retinopathy                                 0.234   \n",
       "vtab/dmlab                                                0.182   \n",
       "vtab/dsprites_label_orientation                           0.022   \n",
       "vtab/dsprites_label_x_position                            0.032   \n",
       "vtab/dtd                                                  0.632   \n",
       "vtab/eurosat                                              0.664   \n",
       "vtab/flowers                                              0.746   \n",
       "vtab/kitti_closest_vehicle_distance                       0.308   \n",
       "vtab/pcam                                                 0.553   \n",
       "vtab/pets                                                 0.931   \n",
       "vtab/resisc45                                             0.676   \n",
       "vtab/smallnorb_label_azimuth                              0.057   \n",
       "vtab/smallnorb_label_elevation                            0.110   \n",
       "vtab/svhn                                                 0.487   \n",
       "\n",
       "model_fullname                       ViT-L-14 laion400m_e32  ViT-L-14 openai  \\\n",
       "dataset                                                                        \n",
       "cars                                                  0.896            0.777   \n",
       "country211                                            0.231            0.318   \n",
       "fer2013                                               0.450            0.489   \n",
       "fgvc_aircraft                                         0.248            0.317   \n",
       "gtsrb                                                 0.450            0.439   \n",
       "imagenet-a                                            0.473            0.675   \n",
       "imagenet-r                                            0.833            0.865   \n",
       "imagenet1k                                            0.727            0.754   \n",
       "imagenet_sketch                                       0.596            0.596   \n",
       "imagenetv2                                            0.654            0.697   \n",
       "mnist                                                 0.759            0.758   \n",
       "objectnet                                             0.586            0.674   \n",
       "renderedsst2                                          0.564            0.699   \n",
       "stl10                                                 0.981            0.994   \n",
       "sun397                                                0.713            0.682   \n",
       "voc2007                                               0.831            0.864   \n",
       "vtab/caltech101                                       0.934            0.933   \n",
       "vtab/cifar10                                          0.947            0.957   \n",
       "vtab/cifar100                                         0.774            0.761   \n",
       "vtab/clevr_closest_object_distance                    0.144            0.177   \n",
       "vtab/clevr_count_all                                  0.231            0.187   \n",
       "vtab/diabetic_retinopathy                             0.220            0.206   \n",
       "vtab/dmlab                                            0.193            0.178   \n",
       "vtab/dsprites_label_orientation                       0.026            0.024   \n",
       "vtab/dsprites_label_x_position                        0.031            0.032   \n",
       "vtab/dtd                                              0.604            0.550   \n",
       "vtab/eurosat                                          0.630            0.638   \n",
       "vtab/flowers                                          0.726            0.793   \n",
       "vtab/kitti_closest_vehicle_distance                   0.179            0.372   \n",
       "vtab/pcam                                             0.486            0.516   \n",
       "vtab/pets                                             0.916            0.933   \n",
       "vtab/resisc45                                         0.678            0.642   \n",
       "vtab/smallnorb_label_azimuth                          0.053            0.046   \n",
       "vtab/smallnorb_label_elevation                        0.108            0.114   \n",
       "vtab/svhn                                             0.406            0.589   \n",
       "\n",
       "model_fullname                       ViT-L-14-336 openai  \\\n",
       "dataset                                                    \n",
       "cars                                               0.793   \n",
       "country211                                         0.345   \n",
       "fer2013                                            0.491   \n",
       "fgvc_aircraft                                      0.332   \n",
       "gtsrb                                              0.447   \n",
       "imagenet-a                                         0.735   \n",
       "imagenet-r                                         0.878   \n",
       "imagenet1k                                         0.766   \n",
       "imagenet_sketch                                    0.610   \n",
       "imagenetv2                                         0.708   \n",
       "mnist                                              0.778   \n",
       "objectnet                                          0.701   \n",
       "renderedsst2                                       0.707   \n",
       "stl10                                              0.995   \n",
       "sun397                                             0.692   \n",
       "voc2007                                            0.863   \n",
       "vtab/caltech101                                    0.933   \n",
       "vtab/cifar10                                       0.950   \n",
       "vtab/cifar100                                      0.747   \n",
       "vtab/clevr_closest_object_distance                 0.181   \n",
       "vtab/clevr_count_all                               0.195   \n",
       "vtab/diabetic_retinopathy                          0.207   \n",
       "vtab/dmlab                                         0.171   \n",
       "vtab/dsprites_label_orientation                    0.025   \n",
       "vtab/dsprites_label_x_position                     0.032   \n",
       "vtab/dtd                                           0.556   \n",
       "vtab/eurosat                                       0.631   \n",
       "vtab/flowers                                       0.786   \n",
       "vtab/kitti_closest_vehicle_distance                0.374   \n",
       "vtab/pcam                                          0.613   \n",
       "vtab/pets                                          0.937   \n",
       "vtab/resisc45                                      0.646   \n",
       "vtab/smallnorb_label_azimuth                       0.046   \n",
       "vtab/smallnorb_label_elevation                     0.113   \n",
       "vtab/svhn                                          0.559   \n",
       "\n",
       "model_fullname                       ViT-g-14 laion2b_s12b_b42k  \n",
       "dataset                                                          \n",
       "cars                                                      0.929  \n",
       "country211                                                0.288  \n",
       "fer2013                                                   0.481  \n",
       "fgvc_aircraft                                             0.378  \n",
       "gtsrb                                                     0.466  \n",
       "imagenet-a                                                0.564  \n",
       "imagenet-r                                                0.875  \n",
       "imagenet1k                                                0.767  \n",
       "imagenet_sketch                                           0.652  \n",
       "imagenetv2                                                0.696  \n",
       "mnist                                                     0.683  \n",
       "objectnet                                                 0.665  \n",
       "renderedsst2                                              0.646  \n",
       "stl10                                                     0.986  \n",
       "sun397                                                    0.752  \n",
       "voc2007                                                   0.858  \n",
       "vtab/caltech101                                           0.944  \n",
       "vtab/cifar10                                              0.971  \n",
       "vtab/cifar100                                             0.839  \n",
       "vtab/clevr_closest_object_distance                        0.227  \n",
       "vtab/clevr_count_all                                      0.319  \n",
       "vtab/diabetic_retinopathy                                 0.217  \n",
       "vtab/dmlab                                                0.173  \n",
       "vtab/dsprites_label_orientation                           0.030  \n",
       "vtab/dsprites_label_x_position                            0.036  \n",
       "vtab/dtd                                                  0.683  \n",
       "vtab/eurosat                                              0.645  \n",
       "vtab/flowers                                              0.781  \n",
       "vtab/kitti_closest_vehicle_distance                       0.182  \n",
       "vtab/pcam                                                 0.551  \n",
       "vtab/pets                                                 0.943  \n",
       "vtab/resisc45                                             0.726  \n",
       "vtab/smallnorb_label_azimuth                              0.060  \n",
       "vtab/smallnorb_label_elevation                            0.115  \n",
       "vtab/svhn                                                 0.568  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metric = \"mean_per_class_recall\"\n",
    "pd.pivot(df, index=\"model_fullname\", columns=\"dataset\", values=metric).T.dropna()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dba407aa-4103-44aa-bddc-3046ec73aa77",
   "metadata": {},
   "source": [
    "### All results (mAP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "99130646-f092-43a0-a657-c4e64053dcb5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>model_fullname</th>\n",
       "      <th>ViT-B-16 laion400m_e32</th>\n",
       "      <th>ViT-B-16 openai</th>\n",
       "      <th>ViT-B-16-plus-240 laion400m_e32</th>\n",
       "      <th>ViT-B-32 laion2b_e16</th>\n",
       "      <th>ViT-B-32 laion2b_s34b_b79k</th>\n",
       "      <th>ViT-B-32 openai</th>\n",
       "      <th>ViT-B-32-quickgelu laion400m_e32</th>\n",
       "      <th>ViT-H-14 laion2b_s32b_b79k</th>\n",
       "      <th>ViT-L-14 laion2b_s32b_b82k</th>\n",
       "      <th>ViT-L-14 laion400m_e32</th>\n",
       "      <th>ViT-L-14 openai</th>\n",
       "      <th>ViT-L-14-336 openai</th>\n",
       "      <th>ViT-g-14 laion2b_s12b_b42k</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dataset</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>voc2007_multilabel</th>\n",
       "      <td>0.784</td>\n",
       "      <td>0.789</td>\n",
       "      <td>0.785</td>\n",
       "      <td>0.793</td>\n",
       "      <td>0.796</td>\n",
       "      <td>0.760</td>\n",
       "      <td>0.762</td>\n",
       "      <td>0.801</td>\n",
       "      <td>0.820</td>\n",
       "      <td>0.785</td>\n",
       "      <td>0.790</td>\n",
       "      <td>0.804</td>\n",
       "      <td>0.807</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "model_fullname      ViT-B-16 laion400m_e32  ViT-B-16 openai  \\\n",
       "dataset                                                       \n",
       "voc2007_multilabel                   0.784            0.789   \n",
       "\n",
       "model_fullname      ViT-B-16-plus-240 laion400m_e32  ViT-B-32 laion2b_e16  \\\n",
       "dataset                                                                     \n",
       "voc2007_multilabel                            0.785                 0.793   \n",
       "\n",
       "model_fullname      ViT-B-32 laion2b_s34b_b79k  ViT-B-32 openai  \\\n",
       "dataset                                                           \n",
       "voc2007_multilabel                       0.796            0.760   \n",
       "\n",
       "model_fullname      ViT-B-32-quickgelu laion400m_e32  \\\n",
       "dataset                                                \n",
       "voc2007_multilabel                             0.762   \n",
       "\n",
       "model_fullname      ViT-H-14 laion2b_s32b_b79k  ViT-L-14 laion2b_s32b_b82k  \\\n",
       "dataset                                                                      \n",
       "voc2007_multilabel                       0.801                       0.820   \n",
       "\n",
       "model_fullname      ViT-L-14 laion400m_e32  ViT-L-14 openai  \\\n",
       "dataset                                                       \n",
       "voc2007_multilabel                   0.785            0.790   \n",
       "\n",
       "model_fullname      ViT-L-14-336 openai  ViT-g-14 laion2b_s12b_b42k  \n",
       "dataset                                                              \n",
       "voc2007_multilabel                0.804                       0.807  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# For multi-label classification tasks\n",
    "metric = \"mean_average_precision\"\n",
    "pd.pivot(df, index=\"model_fullname\", columns=\"dataset\", values=metric).T.dropna()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b75cf72d",
   "metadata": {},
   "source": [
    "## All results (retrieval)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "48f5ea9d",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>model_fullname</th>\n",
       "      <th>ViT-B-16 laion400m_e32</th>\n",
       "      <th>ViT-B-16 openai</th>\n",
       "      <th>ViT-B-16-plus-240 laion400m_e32</th>\n",
       "      <th>ViT-B-32 laion2b_e16</th>\n",
       "      <th>ViT-B-32 laion2b_s34b_b79k</th>\n",
       "      <th>ViT-B-32 openai</th>\n",
       "      <th>ViT-B-32-quickgelu laion400m_e32</th>\n",
       "      <th>ViT-H-14 laion2b_s32b_b79k</th>\n",
       "      <th>ViT-L-14 laion2b_s32b_b82k</th>\n",
       "      <th>ViT-L-14 laion400m_e32</th>\n",
       "      <th>ViT-L-14 openai</th>\n",
       "      <th>ViT-L-14-336 openai</th>\n",
       "      <th>ViT-g-14 laion2b_s12b_b42k</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dataset</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>flickr30k</th>\n",
       "      <td>0.882</td>\n",
       "      <td>0.855</td>\n",
       "      <td>0.889</td>\n",
       "      <td>0.881</td>\n",
       "      <td>0.884</td>\n",
       "      <td>0.834</td>\n",
       "      <td>0.855</td>\n",
       "      <td>0.941</td>\n",
       "      <td>0.929</td>\n",
       "      <td>0.908</td>\n",
       "      <td>0.872</td>\n",
       "      <td>0.889</td>\n",
       "      <td>0.935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>flickr8k</th>\n",
       "      <td>0.858</td>\n",
       "      <td>0.829</td>\n",
       "      <td>0.873</td>\n",
       "      <td>0.857</td>\n",
       "      <td>0.863</td>\n",
       "      <td>0.805</td>\n",
       "      <td>0.830</td>\n",
       "      <td>0.928</td>\n",
       "      <td>0.915</td>\n",
       "      <td>0.898</td>\n",
       "      <td>0.863</td>\n",
       "      <td>0.880</td>\n",
       "      <td>0.918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mscoco_captions</th>\n",
       "      <td>0.636</td>\n",
       "      <td>0.584</td>\n",
       "      <td>0.662</td>\n",
       "      <td>0.647</td>\n",
       "      <td>0.654</td>\n",
       "      <td>0.558</td>\n",
       "      <td>0.608</td>\n",
       "      <td>0.734</td>\n",
       "      <td>0.711</td>\n",
       "      <td>0.681</td>\n",
       "      <td>0.611</td>\n",
       "      <td>0.616</td>\n",
       "      <td>0.724</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "model_fullname   ViT-B-16 laion400m_e32  ViT-B-16 openai  \\\n",
       "dataset                                                    \n",
       "flickr30k                         0.882            0.855   \n",
       "flickr8k                          0.858            0.829   \n",
       "mscoco_captions                   0.636            0.584   \n",
       "\n",
       "model_fullname   ViT-B-16-plus-240 laion400m_e32  ViT-B-32 laion2b_e16  \\\n",
       "dataset                                                                  \n",
       "flickr30k                                  0.889                 0.881   \n",
       "flickr8k                                   0.873                 0.857   \n",
       "mscoco_captions                            0.662                 0.647   \n",
       "\n",
       "model_fullname   ViT-B-32 laion2b_s34b_b79k  ViT-B-32 openai  \\\n",
       "dataset                                                        \n",
       "flickr30k                             0.884            0.834   \n",
       "flickr8k                              0.863            0.805   \n",
       "mscoco_captions                       0.654            0.558   \n",
       "\n",
       "model_fullname   ViT-B-32-quickgelu laion400m_e32  ViT-H-14 laion2b_s32b_b79k  \\\n",
       "dataset                                                                         \n",
       "flickr30k                                   0.855                       0.941   \n",
       "flickr8k                                    0.830                       0.928   \n",
       "mscoco_captions                             0.608                       0.734   \n",
       "\n",
       "model_fullname   ViT-L-14 laion2b_s32b_b82k  ViT-L-14 laion400m_e32  \\\n",
       "dataset                                                               \n",
       "flickr30k                             0.929                   0.908   \n",
       "flickr8k                              0.915                   0.898   \n",
       "mscoco_captions                       0.711                   0.681   \n",
       "\n",
       "model_fullname   ViT-L-14 openai  ViT-L-14-336 openai  \\\n",
       "dataset                                                 \n",
       "flickr30k                  0.872                0.889   \n",
       "flickr8k                   0.863                0.880   \n",
       "mscoco_captions            0.611                0.616   \n",
       "\n",
       "model_fullname   ViT-g-14 laion2b_s12b_b42k  \n",
       "dataset                                      \n",
       "flickr30k                             0.935  \n",
       "flickr8k                              0.918  \n",
       "mscoco_captions                       0.724  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metric = \"image_retrieval_recall@5\"\n",
    "pd.pivot(df_retrieval, index=\"model_fullname\", columns=\"dataset\", values=metric).T.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "cbc65601",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>model_fullname</th>\n",
       "      <th>ViT-B-16 laion400m_e32</th>\n",
       "      <th>ViT-B-16 openai</th>\n",
       "      <th>ViT-B-16-plus-240 laion400m_e32</th>\n",
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       "      <th>ViT-L-14 laion2b_s32b_b82k</th>\n",
       "      <th>ViT-L-14 laion400m_e32</th>\n",
       "      <th>ViT-L-14 openai</th>\n",
       "      <th>ViT-L-14-336 openai</th>\n",
       "      <th>ViT-g-14 laion2b_s12b_b42k</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dataset</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>flickr30k</th>\n",
       "      <td>0.968</td>\n",
       "      <td>0.963</td>\n",
       "      <td>0.971</td>\n",
       "      <td>0.964</td>\n",
       "      <td>0.963</td>\n",
       "      <td>0.949</td>\n",
       "      <td>0.941</td>\n",
       "      <td>0.993</td>\n",
       "      <td>0.987</td>\n",
       "      <td>0.978</td>\n",
       "      <td>0.974</td>\n",
       "      <td>0.981</td>\n",
       "      <td>0.991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>flickr8k</th>\n",
       "      <td>0.941</td>\n",
       "      <td>0.914</td>\n",
       "      <td>0.955</td>\n",
       "      <td>0.932</td>\n",
       "      <td>0.941</td>\n",
       "      <td>0.914</td>\n",
       "      <td>0.917</td>\n",
       "      <td>0.973</td>\n",
       "      <td>0.967</td>\n",
       "      <td>0.965</td>\n",
       "      <td>0.941</td>\n",
       "      <td>0.939</td>\n",
       "      <td>0.974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mscoco_captions</th>\n",
       "      <td>0.796</td>\n",
       "      <td>0.768</td>\n",
       "      <td>0.810</td>\n",
       "      <td>0.795</td>\n",
       "      <td>0.798</td>\n",
       "      <td>0.748</td>\n",
       "      <td>0.768</td>\n",
       "      <td>0.860</td>\n",
       "      <td>0.840</td>\n",
       "      <td>0.822</td>\n",
       "      <td>0.792</td>\n",
       "      <td>0.810</td>\n",
       "      <td>0.854</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "model_fullname   ViT-B-16 laion400m_e32  ViT-B-16 openai  \\\n",
       "dataset                                                    \n",
       "flickr30k                         0.968            0.963   \n",
       "flickr8k                          0.941            0.914   \n",
       "mscoco_captions                   0.796            0.768   \n",
       "\n",
       "model_fullname   ViT-B-16-plus-240 laion400m_e32  ViT-B-32 laion2b_e16  \\\n",
       "dataset                                                                  \n",
       "flickr30k                                  0.971                 0.964   \n",
       "flickr8k                                   0.955                 0.932   \n",
       "mscoco_captions                            0.810                 0.795   \n",
       "\n",
       "model_fullname   ViT-B-32 laion2b_s34b_b79k  ViT-B-32 openai  \\\n",
       "dataset                                                        \n",
       "flickr30k                             0.963            0.949   \n",
       "flickr8k                              0.941            0.914   \n",
       "mscoco_captions                       0.798            0.748   \n",
       "\n",
       "model_fullname   ViT-B-32-quickgelu laion400m_e32  ViT-H-14 laion2b_s32b_b79k  \\\n",
       "dataset                                                                         \n",
       "flickr30k                                   0.941                       0.993   \n",
       "flickr8k                                    0.917                       0.973   \n",
       "mscoco_captions                             0.768                       0.860   \n",
       "\n",
       "model_fullname   ViT-L-14 laion2b_s32b_b82k  ViT-L-14 laion400m_e32  \\\n",
       "dataset                                                               \n",
       "flickr30k                             0.987                   0.978   \n",
       "flickr8k                              0.967                   0.965   \n",
       "mscoco_captions                       0.840                   0.822   \n",
       "\n",
       "model_fullname   ViT-L-14 openai  ViT-L-14-336 openai  \\\n",
       "dataset                                                 \n",
       "flickr30k                  0.974                0.981   \n",
       "flickr8k                   0.941                0.939   \n",
       "mscoco_captions            0.792                0.810   \n",
       "\n",
       "model_fullname   ViT-g-14 laion2b_s12b_b42k  \n",
       "dataset                                      \n",
       "flickr30k                             0.991  \n",
       "flickr8k                              0.974  \n",
       "mscoco_captions                       0.854  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metric = \"text_retrieval_recall@5\"\n",
    "pd.pivot(df_retrieval, index=\"model_fullname\", columns=\"dataset\", values=metric).T.dropna()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e30ecf3c-40a3-4c66-836f-4fbd3e3b0e37",
   "metadata": {},
   "source": [
    "## Aggregating over datasets"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b26606d9-591d-45a1-8cd9-9853bfcc5053",
   "metadata": {},
   "source": [
    "See VTAB (https://arxiv.org/pdf/1910.04867.pdf, Section E) for a discussion about different aggregation \n",
    "strategies and how much they correlate. They find that all aggregation strategies have high\n",
    "Kendall score with the simple top-1 mean accuracy over datasets."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d14d866e-702f-4cd2-97b0-f6e2c97394d8",
   "metadata": {},
   "source": [
    "### Ranking the models over mean top-1 accuracy over all datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6d0ece3a-de4d-4080-ae82-925bf563819b",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th colspan=\"3\" halign=\"left\">acc1</th>\n",
       "      <th colspan=\"3\" halign=\"left\">acc5</th>\n",
       "      <th colspan=\"3\" halign=\"left\">mean_per_class_recall</th>\n",
       "      <th colspan=\"3\" halign=\"left\">mean_average_precision</th>\n",
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       "    <tr>\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
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       "      <th>std</th>\n",
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       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>median</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
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       "    <tr>\n",
       "      <th>model_fullname</th>\n",
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       "    <tr>\n",
       "      <th>ViT-L-14-336 openai</th>\n",
       "      <td>0.567</td>\n",
       "      <td>0.287</td>\n",
       "      <td>0.637</td>\n",
       "      <td>0.826</td>\n",
       "      <td>0.239</td>\n",
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       "      <td>0.631</td>\n",
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       "      <td>0.804</td>\n",
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       "    <tr>\n",
       "      <th>ViT-g-14 laion2b_s12b_b42k</th>\n",
       "      <td>0.565</td>\n",
       "      <td>0.290</td>\n",
       "      <td>0.648</td>\n",
       "      <td>0.833</td>\n",
       "      <td>0.238</td>\n",
       "      <td>0.935</td>\n",
       "      <td>0.563</td>\n",
       "      <td>0.297</td>\n",
       "      <td>0.646</td>\n",
       "      <td>0.807</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.807</td>\n",
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       "    <tr>\n",
       "      <th>ViT-H-14 laion2b_s32b_b79k</th>\n",
       "      <td>0.564</td>\n",
       "      <td>0.301</td>\n",
       "      <td>0.666</td>\n",
       "      <td>0.836</td>\n",
       "      <td>0.239</td>\n",
       "      <td>0.925</td>\n",
       "      <td>0.572</td>\n",
       "      <td>0.298</td>\n",
       "      <td>0.666</td>\n",
       "      <td>0.801</td>\n",
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       "      <td>0.801</td>\n",
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       "    <tr>\n",
       "      <th>ViT-L-14 openai</th>\n",
       "      <td>0.558</td>\n",
       "      <td>0.286</td>\n",
       "      <td>0.635</td>\n",
       "      <td>0.823</td>\n",
       "      <td>0.239</td>\n",
       "      <td>0.917</td>\n",
       "      <td>0.550</td>\n",
       "      <td>0.291</td>\n",
       "      <td>0.638</td>\n",
       "      <td>0.790</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ViT-L-14 laion2b_s32b_b82k</th>\n",
       "      <td>0.546</td>\n",
       "      <td>0.288</td>\n",
       "      <td>0.593</td>\n",
       "      <td>0.820</td>\n",
       "      <td>0.239</td>\n",
       "      <td>0.904</td>\n",
       "      <td>0.551</td>\n",
       "      <td>0.290</td>\n",
       "      <td>0.593</td>\n",
       "      <td>0.820</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ViT-L-14 laion400m_e32</th>\n",
       "      <td>0.518</td>\n",
       "      <td>0.296</td>\n",
       "      <td>0.596</td>\n",
       "      <td>0.802</td>\n",
       "      <td>0.243</td>\n",
       "      <td>0.901</td>\n",
       "      <td>0.522</td>\n",
       "      <td>0.296</td>\n",
       "      <td>0.586</td>\n",
       "      <td>0.785</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ViT-B-32 laion2b_s34b_b79k</th>\n",
       "      <td>0.508</td>\n",
       "      <td>0.281</td>\n",
       "      <td>0.557</td>\n",
       "      <td>0.783</td>\n",
       "      <td>0.246</td>\n",
       "      <td>0.886</td>\n",
       "      <td>0.494</td>\n",
       "      <td>0.285</td>\n",
       "      <td>0.537</td>\n",
       "      <td>0.796</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ViT-B-16-plus-240 laion400m_e32</th>\n",
       "      <td>0.493</td>\n",
       "      <td>0.282</td>\n",
       "      <td>0.544</td>\n",
       "      <td>0.780</td>\n",
       "      <td>0.248</td>\n",
       "      <td>0.862</td>\n",
       "      <td>0.500</td>\n",
       "      <td>0.280</td>\n",
       "      <td>0.545</td>\n",
       "      <td>0.785</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ViT-B-16 laion400m_e32</th>\n",
       "      <td>0.484</td>\n",
       "      <td>0.280</td>\n",
       "      <td>0.515</td>\n",
       "      <td>0.779</td>\n",
       "      <td>0.246</td>\n",
       "      <td>0.882</td>\n",
       "      <td>0.488</td>\n",
       "      <td>0.278</td>\n",
       "      <td>0.511</td>\n",
       "      <td>0.784</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.784</td>\n",
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       "    <tr>\n",
       "      <th>ViT-B-32 laion2b_e16</th>\n",
       "      <td>0.481</td>\n",
       "      <td>0.280</td>\n",
       "      <td>0.504</td>\n",
       "      <td>0.778</td>\n",
       "      <td>0.249</td>\n",
       "      <td>0.858</td>\n",
       "      <td>0.484</td>\n",
       "      <td>0.280</td>\n",
       "      <td>0.511</td>\n",
       "      <td>0.793</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ViT-B-16 openai</th>\n",
       "      <td>0.475</td>\n",
       "      <td>0.273</td>\n",
       "      <td>0.501</td>\n",
       "      <td>0.783</td>\n",
       "      <td>0.233</td>\n",
       "      <td>0.854</td>\n",
       "      <td>0.483</td>\n",
       "      <td>0.269</td>\n",
       "      <td>0.506</td>\n",
       "      <td>0.789</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ViT-B-32-quickgelu laion400m_e32</th>\n",
       "      <td>0.458</td>\n",
       "      <td>0.272</td>\n",
       "      <td>0.493</td>\n",
       "      <td>0.757</td>\n",
       "      <td>0.254</td>\n",
       "      <td>0.858</td>\n",
       "      <td>0.459</td>\n",
       "      <td>0.276</td>\n",
       "      <td>0.494</td>\n",
       "      <td>0.762</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.762</td>\n",
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       "    <tr>\n",
       "      <th>ViT-B-32 openai</th>\n",
       "      <td>0.449</td>\n",
       "      <td>0.262</td>\n",
       "      <td>0.443</td>\n",
       "      <td>0.764</td>\n",
       "      <td>0.239</td>\n",
       "      <td>0.854</td>\n",
       "      <td>0.450</td>\n",
       "      <td>0.267</td>\n",
       "      <td>0.443</td>\n",
       "      <td>0.760</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.760</td>\n",
       "    </tr>\n",
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       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  acc1               acc5               \\\n",
       "                                  mean   std median  mean   std median   \n",
       "model_fullname                                                           \n",
       "ViT-L-14-336 openai              0.567 0.287  0.637 0.826 0.239  0.926   \n",
       "ViT-g-14 laion2b_s12b_b42k       0.565 0.290  0.648 0.833 0.238  0.935   \n",
       "ViT-H-14 laion2b_s32b_b79k       0.564 0.301  0.666 0.836 0.239  0.925   \n",
       "ViT-L-14 openai                  0.558 0.286  0.635 0.823 0.239  0.917   \n",
       "ViT-L-14 laion2b_s32b_b82k       0.546 0.288  0.593 0.820 0.239  0.904   \n",
       "ViT-L-14 laion400m_e32           0.518 0.296  0.596 0.802 0.243  0.901   \n",
       "ViT-B-32 laion2b_s34b_b79k       0.508 0.281  0.557 0.783 0.246  0.886   \n",
       "ViT-B-16-plus-240 laion400m_e32  0.493 0.282  0.544 0.780 0.248  0.862   \n",
       "ViT-B-16 laion400m_e32           0.484 0.280  0.515 0.779 0.246  0.882   \n",
       "ViT-B-32 laion2b_e16             0.481 0.280  0.504 0.778 0.249  0.858   \n",
       "ViT-B-16 openai                  0.475 0.273  0.501 0.783 0.233  0.854   \n",
       "ViT-B-32-quickgelu laion400m_e32 0.458 0.272  0.493 0.757 0.254  0.858   \n",
       "ViT-B-32 openai                  0.449 0.262  0.443 0.764 0.239  0.854   \n",
       "\n",
       "                                 mean_per_class_recall               \\\n",
       "                                                  mean   std median   \n",
       "model_fullname                                                        \n",
       "ViT-L-14-336 openai                              0.558 0.292  0.631   \n",
       "ViT-g-14 laion2b_s12b_b42k                       0.563 0.297  0.646   \n",
       "ViT-H-14 laion2b_s32b_b79k                       0.572 0.298  0.666   \n",
       "ViT-L-14 openai                                  0.550 0.291  0.638   \n",
       "ViT-L-14 laion2b_s32b_b82k                       0.551 0.290  0.593   \n",
       "ViT-L-14 laion400m_e32                           0.522 0.296  0.586   \n",
       "ViT-B-32 laion2b_s34b_b79k                       0.494 0.285  0.537   \n",
       "ViT-B-16-plus-240 laion400m_e32                  0.500 0.280  0.545   \n",
       "ViT-B-16 laion400m_e32                           0.488 0.278  0.511   \n",
       "ViT-B-32 laion2b_e16                             0.484 0.280  0.511   \n",
       "ViT-B-16 openai                                  0.483 0.269  0.506   \n",
       "ViT-B-32-quickgelu laion400m_e32                 0.459 0.276  0.494   \n",
       "ViT-B-32 openai                                  0.450 0.267  0.443   \n",
       "\n",
       "                                 mean_average_precision             \n",
       "                                                   mean std median  \n",
       "model_fullname                                                      \n",
       "ViT-L-14-336 openai                               0.804 NaN  0.804  \n",
       "ViT-g-14 laion2b_s12b_b42k                        0.807 NaN  0.807  \n",
       "ViT-H-14 laion2b_s32b_b79k                        0.801 NaN  0.801  \n",
       "ViT-L-14 openai                                   0.790 NaN  0.790  \n",
       "ViT-L-14 laion2b_s32b_b82k                        0.820 NaN  0.820  \n",
       "ViT-L-14 laion400m_e32                            0.785 NaN  0.785  \n",
       "ViT-B-32 laion2b_s34b_b79k                        0.796 NaN  0.796  \n",
       "ViT-B-16-plus-240 laion400m_e32                   0.785 NaN  0.785  \n",
       "ViT-B-16 laion400m_e32                            0.784 NaN  0.784  \n",
       "ViT-B-32 laion2b_e16                              0.793 NaN  0.793  \n",
       "ViT-B-16 openai                                   0.789 NaN  0.789  \n",
       "ViT-B-32-quickgelu laion400m_e32                  0.762 NaN  0.762  \n",
       "ViT-B-32 openai                                   0.760 NaN  0.760  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(\"model_fullname\").agg(['mean', 'std', 'median']).sort_values(by=(\"acc1\", \"mean\"), ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4791ba73-3c54-4ef0-93a4-59b75b00378e",
   "metadata": {},
   "source": [
    "### Compute rank of the model for each dataset (1 = best, lower is better), then average the ranks over the datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "aa0b6dda-b531-4954-b2bd-79d8c910d96d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
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       "      <th>ViT-g-14 laion2b_s12b_b42k</th>\n",
       "      <td>3.286</td>\n",
       "      <td>2.295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ViT-H-14 laion2b_s32b_b79k</th>\n",
       "      <td>3.786</td>\n",
       "      <td>3.355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ViT-L-14 laion2b_s32b_b82k</th>\n",
       "      <td>4.529</td>\n",
       "      <td>2.440</td>\n",
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       "      <th>ViT-L-14-336 openai</th>\n",
       "      <td>4.871</td>\n",
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       "      <th>ViT-L-14 openai</th>\n",
       "      <td>5.343</td>\n",
       "      <td>3.038</td>\n",
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       "      <th>ViT-L-14 laion400m_e32</th>\n",
       "      <td>6.829</td>\n",
       "      <td>2.925</td>\n",
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       "    <tr>\n",
       "      <th>ViT-B-32 laion2b_s34b_b79k</th>\n",
       "      <td>7.114</td>\n",
       "      <td>3.332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ViT-B-16-plus-240 laion400m_e32</th>\n",
       "      <td>7.971</td>\n",
       "      <td>2.285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ViT-B-16 laion400m_e32</th>\n",
       "      <td>8.543</td>\n",
       "      <td>2.822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ViT-B-16 openai</th>\n",
       "      <td>9.029</td>\n",
       "      <td>2.875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ViT-B-32 laion2b_e16</th>\n",
       "      <td>9.086</td>\n",
       "      <td>2.513</td>\n",
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       "    <tr>\n",
       "      <th>ViT-B-32 openai</th>\n",
       "      <td>9.514</td>\n",
       "      <td>4.111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ViT-B-32-quickgelu laion400m_e32</th>\n",
       "      <td>11.100</td>\n",
       "      <td>2.727</td>\n",
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      ],
      "text/plain": [
       "                                   mean   std\n",
       "model_fullname                               \n",
       "ViT-g-14 laion2b_s12b_b42k        3.286 2.295\n",
       "ViT-H-14 laion2b_s32b_b79k        3.786 3.355\n",
       "ViT-L-14 laion2b_s32b_b82k        4.529 2.440\n",
       "ViT-L-14-336 openai               4.871 3.037\n",
       "ViT-L-14 openai                   5.343 3.038\n",
       "ViT-L-14 laion400m_e32            6.829 2.925\n",
       "ViT-B-32 laion2b_s34b_b79k        7.114 3.332\n",
       "ViT-B-16-plus-240 laion400m_e32   7.971 2.285\n",
       "ViT-B-16 laion400m_e32            8.543 2.822\n",
       "ViT-B-16 openai                   9.029 2.875\n",
       "ViT-B-32 laion2b_e16              9.086 2.513\n",
       "ViT-B-32 openai                   9.514 4.111\n",
       "ViT-B-32-quickgelu laion400m_e32 11.100 2.727"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metric = \"acc1\"\n",
    "df_metric = pd.pivot(df, index=\"model_fullname\", columns=\"dataset\", values=metric).T.dropna()\n",
    "df_metric.rank(axis=1,ascending=False).agg([\"mean\", \"std\"]).T.sort_values(by=\"mean\",ascending=True)"
   ]
  }
 ],
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